Namespace(arch='alexnet', batch_size=256, data='/scratch/bolei/places365_image', epochs=90, evaluate=False, lr=0.1, momentum=0.9, num_classes=365, pretrained=True, print_freq=10, resume='alexnet_latest.pth.tar', start_epoch=0, weight_decay=0.0001, workers=4)
=> creating model 'alexnet'
AlexNet (
  (features): DataParallel (
    (module): Sequential (
      (0): Conv2d(3, 64, kernel_size=(11, 11), stride=(4, 4), padding=(2, 2))
      (1): ReLU (inplace)
      (2): MaxPool2d (size=(3, 3), stride=(2, 2), dilation=(1, 1))
      (3): Conv2d(64, 192, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2))
      (4): ReLU (inplace)
      (5): MaxPool2d (size=(3, 3), stride=(2, 2), dilation=(1, 1))
      (6): Conv2d(192, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (7): ReLU (inplace)
      (8): Conv2d(384, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (9): ReLU (inplace)
      (10): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (11): ReLU (inplace)
      (12): MaxPool2d (size=(3, 3), stride=(2, 2), dilation=(1, 1))
    )
  )
  (classifier): Sequential (
    (0): Dropout (p = 0.5)
    (1): Linear (9216 -> 4096)
    (2): ReLU (inplace)
    (3): Dropout (p = 0.5)
    (4): Linear (4096 -> 4096)
    (5): ReLU (inplace)
    (6): Linear (4096 -> 365)
  )
)
=> loading checkpoint 'alexnet_latest.pth.tar'
=> loaded checkpoint 'alexnet_latest.pth.tar' (epoch 1)
Epoch: [1][0/7045]	Time 25.333 (25.333)	Data 5.463 (5.463)	Loss 4.9228 (4.9228)	Prec@1 4.297 (4.297)	Prec@5 16.797 (16.797)
Epoch: [1][10/7045]	Time 0.124 (2.431)	Data 0.073 (0.546)	Loss 4.8708 (4.8792)	Prec@1 6.641 (5.540)	Prec@5 17.188 (18.359)
Epoch: [1][20/7045]	Time 0.276 (1.399)	Data 0.224 (0.382)	Loss 4.9435 (4.9410)	Prec@1 4.688 (4.967)	Prec@5 15.625 (16.853)
Epoch: [1][30/7045]	Time 0.107 (1.029)	Data 0.001 (0.318)	Loss 5.0320 (4.9636)	Prec@1 5.859 (5.028)	Prec@5 12.109 (16.167)
Epoch: [1][40/7045]	Time 0.608 (0.848)	Data 0.556 (0.292)	Loss 5.0123 (4.9660)	Prec@1 4.688 (5.116)	Prec@5 16.797 (16.254)
Epoch: [1][50/7045]	Time 0.284 (0.729)	Data 0.232 (0.268)	Loss 4.8347 (4.9663)	Prec@1 7.422 (5.300)	Prec@5 20.312 (16.307)
Epoch: [1][60/7045]	Time 0.438 (0.652)	Data 0.386 (0.256)	Loss 4.9002 (4.9613)	Prec@1 6.250 (5.213)	Prec@5 20.703 (16.573)
Epoch: [1][70/7045]	Time 0.122 (0.593)	Data 0.069 (0.245)	Loss 4.9219 (4.9590)	Prec@1 5.859 (5.172)	Prec@5 17.188 (16.560)
Epoch: [1][80/7045]	Time 0.172 (0.554)	Data 0.121 (0.240)	Loss 4.8804 (4.9557)	Prec@1 4.688 (5.146)	Prec@5 18.359 (16.662)
Epoch: [1][90/7045]	Time 0.105 (0.519)	Data 0.054 (0.234)	Loss 5.0268 (4.9604)	Prec@1 5.078 (5.100)	Prec@5 15.234 (16.591)
Epoch: [1][100/7045]	Time 0.115 (0.495)	Data 0.063 (0.232)	Loss 5.0306 (4.9641)	Prec@1 4.297 (5.067)	Prec@5 15.625 (16.480)
Epoch: [1][110/7045]	Time 0.147 (0.471)	Data 0.097 (0.226)	Loss 5.0377 (4.9704)	Prec@1 5.078 (5.001)	Prec@5 16.797 (16.343)
Epoch: [1][120/7045]	Time 0.110 (0.453)	Data 0.057 (0.224)	Loss 4.8840 (4.9754)	Prec@1 3.516 (4.965)	Prec@5 16.406 (16.251)
Epoch: [1][130/7045]	Time 0.595 (0.439)	Data 0.545 (0.222)	Loss 4.9232 (4.9791)	Prec@1 4.297 (4.863)	Prec@5 17.578 (16.251)
Epoch: [1][140/7045]	Time 0.264 (0.424)	Data 0.205 (0.217)	Loss 4.9069 (4.9769)	Prec@1 6.250 (4.884)	Prec@5 17.188 (16.246)
Epoch: [1][150/7045]	Time 0.257 (0.412)	Data 0.206 (0.215)	Loss 4.9342 (4.9762)	Prec@1 3.516 (4.830)	Prec@5 17.578 (16.292)
Epoch: [1][160/7045]	Time 0.276 (0.402)	Data 0.226 (0.213)	Loss 5.0071 (4.9753)	Prec@1 4.688 (4.838)	Prec@5 17.188 (16.324)
Epoch: [1][170/7045]	Time 0.100 (0.393)	Data 0.001 (0.211)	Loss 5.0611 (4.9752)	Prec@1 3.906 (4.827)	Prec@5 15.234 (16.347)
Epoch: [1][180/7045]	Time 0.101 (0.385)	Data 0.001 (0.210)	Loss 5.0123 (4.9735)	Prec@1 5.078 (4.858)	Prec@5 14.844 (16.354)
Epoch: [1][190/7045]	Time 0.106 (0.377)	Data 0.053 (0.208)	Loss 4.9382 (4.9731)	Prec@1 5.859 (4.847)	Prec@5 14.453 (16.345)
Epoch: [1][200/7045]	Time 0.248 (0.372)	Data 0.194 (0.208)	Loss 4.8625 (4.9706)	Prec@1 3.516 (4.837)	Prec@5 17.969 (16.455)
Epoch: [1][210/7045]	Time 0.422 (0.365)	Data 0.371 (0.207)	Loss 4.8911 (4.9664)	Prec@1 7.031 (4.865)	Prec@5 19.141 (16.525)
Epoch: [1][220/7045]	Time 0.126 (0.359)	Data 0.074 (0.205)	Loss 4.9052 (4.9648)	Prec@1 3.125 (4.871)	Prec@5 16.016 (16.564)
Epoch: [1][230/7045]	Time 0.734 (0.356)	Data 0.683 (0.206)	Loss 5.0188 (4.9628)	Prec@1 3.906 (4.901)	Prec@5 12.109 (16.569)
Epoch: [1][240/7045]	Time 0.108 (0.351)	Data 0.001 (0.204)	Loss 5.1091 (4.9649)	Prec@1 3.516 (4.921)	Prec@5 14.453 (16.586)
Epoch: [1][250/7045]	Time 0.147 (0.347)	Data 0.095 (0.203)	Loss 4.8379 (4.9636)	Prec@1 6.641 (4.930)	Prec@5 21.484 (16.641)
Epoch: [1][260/7045]	Time 0.101 (0.342)	Data 0.001 (0.201)	Loss 5.0559 (4.9658)	Prec@1 3.125 (4.911)	Prec@5 13.672 (16.583)
Epoch: [1][270/7045]	Time 0.322 (0.340)	Data 0.263 (0.202)	Loss 4.8821 (4.9666)	Prec@1 4.297 (4.863)	Prec@5 17.188 (16.542)
Epoch: [1][280/7045]	Time 0.102 (0.335)	Data 0.001 (0.200)	Loss 4.9079 (4.9676)	Prec@1 3.125 (4.865)	Prec@5 15.625 (16.541)
Epoch: [1][290/7045]	Time 0.543 (0.334)	Data 0.492 (0.200)	Loss 4.9271 (4.9679)	Prec@1 4.688 (4.854)	Prec@5 16.406 (16.528)
Epoch: [1][300/7045]	Time 0.377 (0.330)	Data 0.326 (0.199)	Loss 5.0836 (4.9708)	Prec@1 4.688 (4.838)	Prec@5 16.016 (16.475)
Epoch: [1][310/7045]	Time 0.318 (0.327)	Data 0.266 (0.198)	Loss 5.1083 (4.9748)	Prec@1 2.734 (4.796)	Prec@5 12.109 (16.414)
Epoch: [1][320/7045]	Time 0.522 (0.325)	Data 0.472 (0.197)	Loss 5.0274 (4.9742)	Prec@1 5.859 (4.787)	Prec@5 15.234 (16.399)
Epoch: [1][330/7045]	Time 0.102 (0.322)	Data 0.050 (0.196)	Loss 4.9286 (4.9734)	Prec@1 4.688 (4.794)	Prec@5 18.750 (16.444)
Epoch: [1][340/7045]	Time 0.100 (0.320)	Data 0.008 (0.196)	Loss 4.8358 (4.9726)	Prec@1 5.078 (4.809)	Prec@5 18.359 (16.445)
Epoch: [1][350/7045]	Time 0.102 (0.317)	Data 0.004 (0.195)	Loss 4.8987 (4.9711)	Prec@1 6.250 (4.814)	Prec@5 19.141 (16.487)
Epoch: [1][360/7045]	Time 0.258 (0.316)	Data 0.207 (0.195)	Loss 5.1749 (4.9704)	Prec@1 3.125 (4.795)	Prec@5 12.891 (16.472)
Epoch: [1][370/7045]	Time 0.102 (0.314)	Data 0.001 (0.194)	Loss 5.0051 (4.9707)	Prec@1 3.125 (4.799)	Prec@5 12.109 (16.452)
Epoch: [1][380/7045]	Time 0.172 (0.312)	Data 0.115 (0.195)	Loss 5.0001 (4.9694)	Prec@1 5.078 (4.817)	Prec@5 14.453 (16.458)
Epoch: [1][390/7045]	Time 0.396 (0.311)	Data 0.346 (0.194)	Loss 5.0670 (4.9686)	Prec@1 5.078 (4.821)	Prec@5 14.062 (16.483)
Epoch: [1][400/7045]	Time 0.224 (0.309)	Data 0.174 (0.194)	Loss 4.9003 (4.9681)	Prec@1 7.031 (4.824)	Prec@5 14.844 (16.483)
Epoch: [1][410/7045]	Time 0.646 (0.308)	Data 0.596 (0.194)	Loss 4.7830 (4.9670)	Prec@1 5.469 (4.821)	Prec@5 16.016 (16.478)
Epoch: [1][420/7045]	Time 0.101 (0.306)	Data 0.001 (0.193)	Loss 4.9372 (4.9655)	Prec@1 3.906 (4.817)	Prec@5 15.234 (16.496)
Epoch: [1][430/7045]	Time 0.631 (0.305)	Data 0.581 (0.193)	Loss 5.0903 (4.9649)	Prec@1 4.688 (4.825)	Prec@5 14.062 (16.510)
Epoch: [1][440/7045]	Time 0.101 (0.303)	Data 0.001 (0.191)	Loss 5.1879 (4.9650)	Prec@1 3.125 (4.825)	Prec@5 11.328 (16.493)
Epoch: [1][450/7045]	Time 0.422 (0.302)	Data 0.370 (0.191)	Loss 5.0512 (4.9644)	Prec@1 6.250 (4.851)	Prec@5 17.578 (16.521)
Epoch: [1][460/7045]	Time 0.103 (0.301)	Data 0.001 (0.190)	Loss 4.8820 (4.9644)	Prec@1 5.078 (4.856)	Prec@5 19.141 (16.523)
Epoch: [1][470/7045]	Time 0.100 (0.300)	Data 0.002 (0.191)	Loss 5.0124 (4.9647)	Prec@1 3.125 (4.851)	Prec@5 17.969 (16.529)
Epoch: [1][480/7045]	Time 0.136 (0.298)	Data 0.085 (0.190)	Loss 5.0306 (4.9649)	Prec@1 3.125 (4.865)	Prec@5 15.625 (16.539)
Epoch: [1][490/7045]	Time 0.168 (0.298)	Data 0.117 (0.190)	Loss 4.9338 (4.9657)	Prec@1 4.297 (4.866)	Prec@5 18.359 (16.553)
Epoch: [1][500/7045]	Time 0.455 (0.297)	Data 0.404 (0.190)	Loss 4.9546 (4.9654)	Prec@1 3.906 (4.875)	Prec@5 18.359 (16.579)
Epoch: [1][510/7045]	Time 0.101 (0.296)	Data 0.001 (0.190)	Loss 4.9358 (4.9657)	Prec@1 4.297 (4.876)	Prec@5 16.797 (16.568)
Epoch: [1][520/7045]	Time 0.445 (0.295)	Data 0.394 (0.190)	Loss 4.9307 (4.9664)	Prec@1 5.859 (4.881)	Prec@5 20.703 (16.572)
Epoch: [1][530/7045]	Time 0.229 (0.294)	Data 0.177 (0.190)	Loss 5.0249 (4.9660)	Prec@1 3.906 (4.883)	Prec@5 12.500 (16.569)
Epoch: [1][540/7045]	Time 0.124 (0.293)	Data 0.072 (0.189)	Loss 4.9837 (4.9659)	Prec@1 5.859 (4.882)	Prec@5 19.141 (16.574)
Epoch: [1][550/7045]	Time 0.103 (0.292)	Data 0.006 (0.189)	Loss 5.0082 (4.9663)	Prec@1 4.297 (4.878)	Prec@5 15.625 (16.567)
Epoch: [1][560/7045]	Time 0.177 (0.292)	Data 0.126 (0.189)	Loss 5.0941 (4.9664)	Prec@1 5.469 (4.875)	Prec@5 17.188 (16.557)
Epoch: [1][570/7045]	Time 0.100 (0.290)	Data 0.045 (0.189)	Loss 4.8123 (4.9654)	Prec@1 6.250 (4.880)	Prec@5 19.922 (16.588)
Epoch: [1][580/7045]	Time 0.418 (0.290)	Data 0.367 (0.189)	Loss 4.9294 (4.9656)	Prec@1 5.469 (4.880)	Prec@5 16.406 (16.581)
Epoch: [1][590/7045]	Time 0.254 (0.289)	Data 0.202 (0.189)	Loss 5.1133 (4.9662)	Prec@1 5.469 (4.879)	Prec@5 14.062 (16.582)
Epoch: [1][600/7045]	Time 0.341 (0.289)	Data 0.291 (0.189)	Loss 5.0421 (4.9669)	Prec@1 3.906 (4.888)	Prec@5 16.406 (16.593)
Epoch: [1][610/7045]	Time 0.111 (0.288)	Data 0.060 (0.189)	Loss 5.0205 (4.9661)	Prec@1 4.297 (4.904)	Prec@5 15.234 (16.609)
Epoch: [1][620/7045]	Time 0.320 (0.288)	Data 0.269 (0.189)	Loss 5.0467 (4.9669)	Prec@1 4.297 (4.910)	Prec@5 14.062 (16.593)
Epoch: [1][630/7045]	Time 0.189 (0.287)	Data 0.137 (0.189)	Loss 5.0495 (4.9669)	Prec@1 5.859 (4.912)	Prec@5 19.922 (16.597)
Epoch: [1][640/7045]	Time 0.135 (0.286)	Data 0.084 (0.189)	Loss 4.8565 (4.9668)	Prec@1 7.812 (4.915)	Prec@5 20.703 (16.596)
Epoch: [1][650/7045]	Time 0.380 (0.286)	Data 0.328 (0.189)	Loss 4.9174 (4.9670)	Prec@1 7.031 (4.912)	Prec@5 18.750 (16.599)
Epoch: [1][660/7045]	Time 0.102 (0.285)	Data 0.004 (0.189)	Loss 5.1654 (4.9681)	Prec@1 1.953 (4.904)	Prec@5 12.109 (16.579)
Epoch: [1][670/7045]	Time 0.637 (0.285)	Data 0.583 (0.189)	Loss 4.9484 (4.9687)	Prec@1 5.469 (4.914)	Prec@5 19.922 (16.581)
Epoch: [1][680/7045]	Time 0.347 (0.284)	Data 0.286 (0.189)	Loss 5.0240 (4.9689)	Prec@1 4.297 (4.913)	Prec@5 15.625 (16.577)
Epoch: [1][690/7045]	Time 0.118 (0.284)	Data 0.064 (0.189)	Loss 5.0368 (4.9693)	Prec@1 3.125 (4.902)	Prec@5 13.672 (16.567)
Epoch: [1][700/7045]	Time 0.889 (0.284)	Data 0.837 (0.190)	Loss 4.9834 (4.9687)	Prec@1 5.469 (4.898)	Prec@5 16.406 (16.576)
Epoch: [1][710/7045]	Time 0.104 (0.283)	Data 0.051 (0.189)	Loss 4.9566 (4.9675)	Prec@1 6.641 (4.906)	Prec@5 17.188 (16.575)
Epoch: [1][720/7045]	Time 0.516 (0.282)	Data 0.465 (0.189)	Loss 5.1138 (4.9680)	Prec@1 5.078 (4.905)	Prec@5 10.938 (16.566)
Epoch: [1][730/7045]	Time 0.102 (0.282)	Data 0.046 (0.189)	Loss 4.8076 (4.9680)	Prec@1 7.031 (4.907)	Prec@5 18.359 (16.570)
Epoch: [1][740/7045]	Time 0.344 (0.281)	Data 0.294 (0.189)	Loss 4.9109 (4.9688)	Prec@1 3.125 (4.899)	Prec@5 16.797 (16.552)
Epoch: [1][750/7045]	Time 0.102 (0.281)	Data 0.004 (0.188)	Loss 4.8942 (4.9695)	Prec@1 5.469 (4.896)	Prec@5 15.625 (16.540)
Epoch: [1][760/7045]	Time 0.108 (0.280)	Data 0.058 (0.189)	Loss 5.1355 (4.9695)	Prec@1 4.297 (4.892)	Prec@5 12.891 (16.543)
Epoch: [1][770/7045]	Time 0.101 (0.280)	Data 0.002 (0.188)	Loss 5.0294 (4.9694)	Prec@1 4.297 (4.889)	Prec@5 14.453 (16.548)
Epoch: [1][780/7045]	Time 0.208 (0.280)	Data 0.155 (0.188)	Loss 4.8783 (4.9691)	Prec@1 5.469 (4.889)	Prec@5 17.578 (16.569)
Epoch: [1][790/7045]	Time 0.102 (0.279)	Data 0.001 (0.188)	Loss 4.9341 (4.9699)	Prec@1 3.125 (4.884)	Prec@5 15.234 (16.564)
Epoch: [1][800/7045]	Time 0.349 (0.279)	Data 0.298 (0.188)	Loss 5.0533 (4.9699)	Prec@1 2.734 (4.874)	Prec@5 14.453 (16.565)
Epoch: [1][810/7045]	Time 0.189 (0.278)	Data 0.138 (0.188)	Loss 5.1336 (4.9705)	Prec@1 3.125 (4.870)	Prec@5 14.453 (16.562)
Epoch: [1][820/7045]	Time 0.336 (0.278)	Data 0.286 (0.188)	Loss 5.0205 (4.9713)	Prec@1 5.078 (4.855)	Prec@5 15.625 (16.557)
Epoch: [1][830/7045]	Time 0.310 (0.277)	Data 0.258 (0.188)	Loss 4.9029 (4.9715)	Prec@1 1.953 (4.846)	Prec@5 14.453 (16.543)
Epoch: [1][840/7045]	Time 0.295 (0.277)	Data 0.245 (0.188)	Loss 5.1174 (4.9712)	Prec@1 3.906 (4.844)	Prec@5 14.844 (16.546)
Epoch: [1][850/7045]	Time 0.099 (0.277)	Data 0.047 (0.188)	Loss 4.9249 (4.9709)	Prec@1 5.078 (4.844)	Prec@5 21.094 (16.560)
Epoch: [1][860/7045]	Time 0.246 (0.277)	Data 0.195 (0.188)	Loss 5.0062 (4.9710)	Prec@1 3.906 (4.845)	Prec@5 14.453 (16.559)
Epoch: [1][870/7045]	Time 0.198 (0.276)	Data 0.147 (0.188)	Loss 4.9401 (4.9710)	Prec@1 4.297 (4.842)	Prec@5 15.625 (16.551)
Epoch: [1][880/7045]	Time 0.450 (0.276)	Data 0.400 (0.188)	Loss 4.9593 (4.9715)	Prec@1 4.297 (4.837)	Prec@5 16.797 (16.546)
Epoch: [1][890/7045]	Time 0.196 (0.276)	Data 0.138 (0.188)	Loss 5.1042 (4.9717)	Prec@1 2.734 (4.839)	Prec@5 13.281 (16.536)
Epoch: [1][900/7045]	Time 0.208 (0.275)	Data 0.156 (0.188)	Loss 5.0442 (4.9719)	Prec@1 5.469 (4.837)	Prec@5 15.625 (16.523)
Epoch: [1][910/7045]	Time 0.109 (0.275)	Data 0.002 (0.188)	Loss 4.9970 (4.9716)	Prec@1 5.469 (4.839)	Prec@5 14.062 (16.523)
Epoch: [1][920/7045]	Time 0.286 (0.275)	Data 0.235 (0.188)	Loss 5.0947 (4.9720)	Prec@1 4.688 (4.833)	Prec@5 16.016 (16.507)
Epoch: [1][930/7045]	Time 0.099 (0.274)	Data 0.001 (0.188)	Loss 4.8218 (4.9720)	Prec@1 7.812 (4.836)	Prec@5 19.141 (16.499)
Epoch: [1][940/7045]	Time 0.525 (0.274)	Data 0.474 (0.188)	Loss 4.9465 (4.9718)	Prec@1 5.859 (4.839)	Prec@5 15.234 (16.503)
Epoch: [1][950/7045]	Time 0.120 (0.274)	Data 0.069 (0.187)	Loss 4.9649 (4.9718)	Prec@1 5.469 (4.834)	Prec@5 18.359 (16.495)
Epoch: [1][960/7045]	Time 0.606 (0.274)	Data 0.556 (0.188)	Loss 5.0528 (4.9724)	Prec@1 3.906 (4.834)	Prec@5 16.406 (16.495)
Epoch: [1][970/7045]	Time 0.296 (0.273)	Data 0.239 (0.187)	Loss 4.8567 (4.9717)	Prec@1 5.078 (4.843)	Prec@5 17.188 (16.513)
Epoch: [1][980/7045]	Time 0.397 (0.273)	Data 0.347 (0.187)	Loss 5.0435 (4.9725)	Prec@1 1.953 (4.836)	Prec@5 16.016 (16.493)
Epoch: [1][990/7045]	Time 0.109 (0.273)	Data 0.056 (0.187)	Loss 4.8414 (4.9726)	Prec@1 5.859 (4.834)	Prec@5 21.094 (16.485)
Epoch: [1][1000/7045]	Time 0.134 (0.273)	Data 0.078 (0.187)	Loss 5.2004 (4.9726)	Prec@1 2.734 (4.835)	Prec@5 13.281 (16.489)
Epoch: [1][1010/7045]	Time 0.102 (0.272)	Data 0.001 (0.187)	Loss 5.0901 (4.9729)	Prec@1 6.250 (4.830)	Prec@5 14.844 (16.486)
Epoch: [1][1020/7045]	Time 0.103 (0.272)	Data 0.001 (0.187)	Loss 4.8922 (4.9729)	Prec@1 4.297 (4.824)	Prec@5 18.750 (16.485)
Epoch: [1][1030/7045]	Time 0.102 (0.271)	Data 0.001 (0.186)	Loss 4.9745 (4.9728)	Prec@1 4.688 (4.826)	Prec@5 16.797 (16.483)
Epoch: [1][1040/7045]	Time 0.103 (0.271)	Data 0.004 (0.186)	Loss 4.9884 (4.9729)	Prec@1 4.297 (4.823)	Prec@5 16.406 (16.483)
Epoch: [1][1050/7045]	Time 0.608 (0.271)	Data 0.556 (0.186)	Loss 5.0655 (4.9730)	Prec@1 5.859 (4.819)	Prec@5 14.453 (16.475)
Epoch: [1][1060/7045]	Time 0.107 (0.271)	Data 0.055 (0.186)	Loss 5.0246 (4.9730)	Prec@1 3.906 (4.823)	Prec@5 13.672 (16.473)
Epoch: [1][1070/7045]	Time 0.575 (0.271)	Data 0.518 (0.186)	Loss 4.9795 (4.9728)	Prec@1 3.906 (4.823)	Prec@5 16.016 (16.477)
Epoch: [1][1080/7045]	Time 0.101 (0.270)	Data 0.001 (0.185)	Loss 4.9610 (4.9731)	Prec@1 4.688 (4.821)	Prec@5 14.844 (16.470)
Epoch: [1][1090/7045]	Time 0.293 (0.270)	Data 0.242 (0.185)	Loss 4.9668 (4.9730)	Prec@1 4.297 (4.821)	Prec@5 14.453 (16.471)
Epoch: [1][1100/7045]	Time 0.103 (0.270)	Data 0.001 (0.185)	Loss 5.1018 (4.9733)	Prec@1 5.859 (4.818)	Prec@5 15.625 (16.463)
Epoch: [1][1110/7045]	Time 0.102 (0.270)	Data 0.001 (0.185)	Loss 4.9594 (4.9732)	Prec@1 5.859 (4.818)	Prec@5 18.750 (16.462)
Epoch: [1][1120/7045]	Time 0.415 (0.270)	Data 0.363 (0.185)	Loss 5.0299 (4.9729)	Prec@1 2.734 (4.818)	Prec@5 14.453 (16.474)
Epoch: [1][1130/7045]	Time 0.109 (0.269)	Data 0.057 (0.185)	Loss 5.0569 (4.9724)	Prec@1 2.734 (4.818)	Prec@5 14.453 (16.489)
Epoch: [1][1140/7045]	Time 0.494 (0.269)	Data 0.442 (0.185)	Loss 4.9352 (4.9728)	Prec@1 3.125 (4.819)	Prec@5 17.188 (16.487)
Epoch: [1][1150/7045]	Time 0.395 (0.269)	Data 0.344 (0.185)	Loss 4.9402 (4.9732)	Prec@1 5.078 (4.813)	Prec@5 17.578 (16.478)
Epoch: [1][1160/7045]	Time 0.204 (0.269)	Data 0.153 (0.185)	Loss 4.8468 (4.9736)	Prec@1 7.812 (4.810)	Prec@5 19.922 (16.479)
Epoch: [1][1170/7045]	Time 0.110 (0.269)	Data 0.058 (0.185)	Loss 5.0150 (4.9740)	Prec@1 4.297 (4.804)	Prec@5 19.922 (16.476)
Epoch: [1][1180/7045]	Time 0.206 (0.269)	Data 0.154 (0.185)	Loss 5.0962 (4.9749)	Prec@1 3.516 (4.796)	Prec@5 14.844 (16.460)
Epoch: [1][1190/7045]	Time 0.103 (0.268)	Data 0.001 (0.185)	Loss 5.0614 (4.9754)	Prec@1 3.906 (4.794)	Prec@5 11.719 (16.452)
Epoch: [1][1200/7045]	Time 0.373 (0.268)	Data 0.323 (0.185)	Loss 5.0607 (4.9757)	Prec@1 3.906 (4.791)	Prec@5 10.156 (16.442)
Epoch: [1][1210/7045]	Time 0.224 (0.268)	Data 0.173 (0.185)	Loss 5.1957 (4.9758)	Prec@1 5.469 (4.792)	Prec@5 10.547 (16.436)
Epoch: [1][1220/7045]	Time 0.270 (0.268)	Data 0.218 (0.185)	Loss 5.1322 (4.9766)	Prec@1 3.125 (4.784)	Prec@5 13.672 (16.423)
Epoch: [1][1230/7045]	Time 0.425 (0.268)	Data 0.367 (0.185)	Loss 4.9898 (4.9767)	Prec@1 3.516 (4.785)	Prec@5 12.109 (16.414)
Epoch: [1][1240/7045]	Time 0.227 (0.267)	Data 0.175 (0.185)	Loss 4.8758 (4.9768)	Prec@1 5.078 (4.783)	Prec@5 17.969 (16.406)
Epoch: [1][1250/7045]	Time 0.354 (0.267)	Data 0.303 (0.185)	Loss 4.9669 (4.9766)	Prec@1 3.516 (4.785)	Prec@5 14.844 (16.405)
Epoch: [1][1260/7045]	Time 0.573 (0.267)	Data 0.513 (0.186)	Loss 4.9380 (4.9766)	Prec@1 6.250 (4.784)	Prec@5 16.406 (16.401)
Epoch: [1][1270/7045]	Time 0.210 (0.267)	Data 0.157 (0.185)	Loss 4.9413 (4.9768)	Prec@1 3.125 (4.782)	Prec@5 14.453 (16.401)
Epoch: [1][1280/7045]	Time 0.396 (0.267)	Data 0.344 (0.185)	Loss 5.0610 (4.9775)	Prec@1 3.516 (4.773)	Prec@5 13.281 (16.389)
Epoch: [1][1290/7045]	Time 0.431 (0.267)	Data 0.380 (0.185)	Loss 4.9473 (4.9781)	Prec@1 3.906 (4.771)	Prec@5 16.016 (16.373)
Epoch: [1][1300/7045]	Time 0.285 (0.267)	Data 0.233 (0.186)	Loss 5.0028 (4.9779)	Prec@1 4.297 (4.775)	Prec@5 14.062 (16.373)
Epoch: [1][1310/7045]	Time 0.118 (0.266)	Data 0.066 (0.185)	Loss 5.0295 (4.9781)	Prec@1 2.734 (4.771)	Prec@5 16.406 (16.372)
Epoch: [1][1320/7045]	Time 0.423 (0.267)	Data 0.372 (0.186)	Loss 5.1068 (4.9782)	Prec@1 2.734 (4.774)	Prec@5 13.672 (16.369)
Epoch: [1][1330/7045]	Time 0.572 (0.267)	Data 0.522 (0.186)	Loss 4.9233 (4.9779)	Prec@1 3.125 (4.776)	Prec@5 14.844 (16.375)
Epoch: [1][1340/7045]	Time 0.102 (0.266)	Data 0.002 (0.186)	Loss 5.1276 (4.9782)	Prec@1 4.688 (4.772)	Prec@5 14.453 (16.367)
Epoch: [1][1350/7045]	Time 0.288 (0.266)	Data 0.236 (0.186)	Loss 5.1292 (4.9786)	Prec@1 5.078 (4.768)	Prec@5 11.328 (16.357)
Epoch: [1][1360/7045]	Time 0.220 (0.266)	Data 0.169 (0.186)	Loss 5.0979 (4.9790)	Prec@1 8.203 (4.768)	Prec@5 17.969 (16.359)
Epoch: [1][1370/7045]	Time 0.107 (0.266)	Data 0.055 (0.186)	Loss 5.0171 (4.9792)	Prec@1 5.469 (4.770)	Prec@5 16.016 (16.360)
Epoch: [1][1380/7045]	Time 0.102 (0.266)	Data 0.049 (0.186)	Loss 5.1667 (4.9794)	Prec@1 4.688 (4.772)	Prec@5 10.547 (16.357)
Epoch: [1][1390/7045]	Time 0.548 (0.266)	Data 0.497 (0.186)	Loss 5.0217 (4.9800)	Prec@1 3.906 (4.768)	Prec@5 14.453 (16.344)
Epoch: [1][1400/7045]	Time 0.197 (0.265)	Data 0.146 (0.186)	Loss 4.9927 (4.9801)	Prec@1 6.641 (4.773)	Prec@5 17.578 (16.350)
Epoch: [1][1410/7045]	Time 0.207 (0.265)	Data 0.155 (0.186)	Loss 4.8562 (4.9803)	Prec@1 6.641 (4.772)	Prec@5 15.625 (16.347)
Epoch: [1][1420/7045]	Time 0.445 (0.265)	Data 0.394 (0.186)	Loss 4.8497 (4.9803)	Prec@1 5.078 (4.769)	Prec@5 17.969 (16.347)
Epoch: [1][1430/7045]	Time 0.113 (0.265)	Data 0.054 (0.186)	Loss 4.9714 (4.9807)	Prec@1 5.859 (4.775)	Prec@5 17.578 (16.340)
Epoch: [1][1440/7045]	Time 0.370 (0.265)	Data 0.319 (0.186)	Loss 5.1586 (4.9818)	Prec@1 2.344 (4.768)	Prec@5 10.938 (16.322)
Epoch: [1][1450/7045]	Time 0.111 (0.265)	Data 0.001 (0.186)	Loss 5.1705 (4.9819)	Prec@1 3.125 (4.768)	Prec@5 12.109 (16.321)
Epoch: [1][1460/7045]	Time 0.102 (0.265)	Data 0.001 (0.186)	Loss 5.1361 (4.9820)	Prec@1 6.250 (4.772)	Prec@5 16.406 (16.324)
Epoch: [1][1470/7045]	Time 0.191 (0.265)	Data 0.140 (0.186)	Loss 5.1251 (4.9821)	Prec@1 3.516 (4.769)	Prec@5 14.844 (16.319)
Epoch: [1][1480/7045]	Time 0.611 (0.265)	Data 0.560 (0.186)	Loss 4.7884 (4.9820)	Prec@1 5.859 (4.767)	Prec@5 18.750 (16.319)
Epoch: [1][1490/7045]	Time 0.103 (0.264)	Data 0.050 (0.186)	Loss 4.9126 (4.9819)	Prec@1 5.078 (4.772)	Prec@5 15.625 (16.323)
Epoch: [1][1500/7045]	Time 0.582 (0.264)	Data 0.529 (0.186)	Loss 4.8340 (4.9817)	Prec@1 6.250 (4.774)	Prec@5 19.922 (16.326)
Epoch: [1][1510/7045]	Time 0.165 (0.264)	Data 0.114 (0.185)	Loss 4.8649 (4.9817)	Prec@1 4.688 (4.773)	Prec@5 15.625 (16.323)
Epoch: [1][1520/7045]	Time 0.635 (0.264)	Data 0.584 (0.185)	Loss 4.8851 (4.9814)	Prec@1 4.297 (4.776)	Prec@5 16.016 (16.328)
Epoch: [1][1530/7045]	Time 0.102 (0.264)	Data 0.001 (0.185)	Loss 4.9226 (4.9812)	Prec@1 4.297 (4.775)	Prec@5 17.969 (16.339)
Epoch: [1][1540/7045]	Time 0.403 (0.264)	Data 0.353 (0.185)	Loss 5.0778 (4.9815)	Prec@1 4.297 (4.774)	Prec@5 12.109 (16.333)
Epoch: [1][1550/7045]	Time 0.245 (0.264)	Data 0.194 (0.185)	Loss 5.1650 (4.9818)	Prec@1 3.906 (4.769)	Prec@5 13.672 (16.332)
Epoch: [1][1560/7045]	Time 0.345 (0.264)	Data 0.293 (0.185)	Loss 4.9354 (4.9819)	Prec@1 6.250 (4.766)	Prec@5 19.922 (16.333)
Epoch: [1][1570/7045]	Time 0.103 (0.263)	Data 0.001 (0.185)	Loss 4.9339 (4.9821)	Prec@1 3.906 (4.766)	Prec@5 18.359 (16.330)
Epoch: [1][1580/7045]	Time 0.162 (0.263)	Data 0.111 (0.185)	Loss 4.9888 (4.9824)	Prec@1 6.250 (4.763)	Prec@5 17.188 (16.326)
Epoch: [1][1590/7045]	Time 0.454 (0.263)	Data 0.401 (0.185)	Loss 5.0467 (4.9823)	Prec@1 3.516 (4.759)	Prec@5 12.500 (16.321)
Epoch: [1][1600/7045]	Time 0.108 (0.263)	Data 0.001 (0.185)	Loss 4.9872 (4.9823)	Prec@1 3.516 (4.756)	Prec@5 17.188 (16.325)
Epoch: [1][1610/7045]	Time 0.541 (0.263)	Data 0.490 (0.185)	Loss 5.1079 (4.9826)	Prec@1 5.469 (4.758)	Prec@5 12.109 (16.324)
Epoch: [1][1620/7045]	Time 0.138 (0.263)	Data 0.087 (0.185)	Loss 5.0425 (4.9835)	Prec@1 1.953 (4.748)	Prec@5 14.453 (16.308)
Epoch: [1][1630/7045]	Time 0.335 (0.263)	Data 0.284 (0.185)	Loss 5.0075 (4.9841)	Prec@1 4.297 (4.741)	Prec@5 17.188 (16.297)
Epoch: [1][1640/7045]	Time 0.499 (0.263)	Data 0.436 (0.185)	Loss 5.0575 (4.9844)	Prec@1 4.297 (4.738)	Prec@5 15.234 (16.291)
Epoch: [1][1650/7045]	Time 0.102 (0.263)	Data 0.001 (0.185)	Loss 5.0147 (4.9850)	Prec@1 4.297 (4.736)	Prec@5 13.672 (16.283)
Epoch: [1][1660/7045]	Time 0.562 (0.263)	Data 0.510 (0.185)	Loss 4.9384 (4.9852)	Prec@1 4.688 (4.734)	Prec@5 14.453 (16.285)
Epoch: [1][1670/7045]	Time 0.110 (0.263)	Data 0.001 (0.185)	Loss 5.1413 (4.9855)	Prec@1 5.469 (4.732)	Prec@5 15.625 (16.281)
Epoch: [1][1680/7045]	Time 0.320 (0.263)	Data 0.268 (0.185)	Loss 5.1081 (4.9860)	Prec@1 3.906 (4.731)	Prec@5 12.109 (16.273)
Epoch: [1][1690/7045]	Time 0.105 (0.262)	Data 0.054 (0.185)	Loss 4.8874 (4.9863)	Prec@1 3.516 (4.729)	Prec@5 15.625 (16.272)
Epoch: [1][1700/7045]	Time 0.101 (0.262)	Data 0.007 (0.185)	Loss 4.9504 (4.9868)	Prec@1 4.688 (4.730)	Prec@5 17.578 (16.268)
Epoch: [1][1710/7045]	Time 0.251 (0.262)	Data 0.201 (0.185)	Loss 4.9507 (4.9870)	Prec@1 7.812 (4.728)	Prec@5 19.141 (16.264)
Epoch: [1][1720/7045]	Time 0.372 (0.262)	Data 0.319 (0.185)	Loss 5.0138 (4.9872)	Prec@1 3.125 (4.732)	Prec@5 17.188 (16.265)
Epoch: [1][1730/7045]	Time 0.296 (0.262)	Data 0.243 (0.185)	Loss 5.0727 (4.9878)	Prec@1 2.734 (4.727)	Prec@5 12.891 (16.251)
Epoch: [1][1740/7045]	Time 0.205 (0.262)	Data 0.154 (0.185)	Loss 5.0953 (4.9882)	Prec@1 3.125 (4.721)	Prec@5 14.062 (16.246)
Epoch: [1][1750/7045]	Time 0.214 (0.262)	Data 0.162 (0.185)	Loss 5.0506 (4.9884)	Prec@1 4.297 (4.719)	Prec@5 12.891 (16.239)
Epoch: [1][1760/7045]	Time 0.279 (0.262)	Data 0.228 (0.185)	Loss 4.9787 (4.9888)	Prec@1 5.469 (4.713)	Prec@5 14.844 (16.225)
Epoch: [1][1770/7045]	Time 0.158 (0.262)	Data 0.107 (0.185)	Loss 5.0935 (4.9889)	Prec@1 4.688 (4.714)	Prec@5 11.719 (16.229)
Epoch: [1][1780/7045]	Time 0.656 (0.262)	Data 0.598 (0.185)	Loss 5.2039 (4.9890)	Prec@1 5.469 (4.713)	Prec@5 12.891 (16.226)
Epoch: [1][1790/7045]	Time 0.166 (0.262)	Data 0.115 (0.185)	Loss 4.9800 (4.9892)	Prec@1 5.469 (4.711)	Prec@5 15.234 (16.222)
Epoch: [1][1800/7045]	Time 0.433 (0.262)	Data 0.381 (0.185)	Loss 4.9718 (4.9894)	Prec@1 4.688 (4.711)	Prec@5 15.234 (16.219)
Epoch: [1][1810/7045]	Time 0.289 (0.262)	Data 0.237 (0.185)	Loss 4.9316 (4.9893)	Prec@1 5.078 (4.713)	Prec@5 14.453 (16.221)
Epoch: [1][1820/7045]	Time 0.101 (0.261)	Data 0.005 (0.185)	Loss 4.9749 (4.9897)	Prec@1 3.906 (4.710)	Prec@5 12.891 (16.211)
Epoch: [1][1830/7045]	Time 0.520 (0.262)	Data 0.468 (0.185)	Loss 5.2273 (4.9904)	Prec@1 2.734 (4.705)	Prec@5 10.938 (16.198)
Epoch: [1][1840/7045]	Time 0.365 (0.261)	Data 0.315 (0.185)	Loss 4.9610 (4.9907)	Prec@1 4.297 (4.704)	Prec@5 17.188 (16.194)
Epoch: [1][1850/7045]	Time 0.299 (0.261)	Data 0.247 (0.185)	Loss 5.0966 (4.9913)	Prec@1 3.906 (4.702)	Prec@5 15.625 (16.184)
Epoch: [1][1860/7045]	Time 0.106 (0.261)	Data 0.005 (0.185)	Loss 5.1083 (4.9918)	Prec@1 2.734 (4.698)	Prec@5 15.625 (16.178)
Epoch: [1][1870/7045]	Time 0.102 (0.261)	Data 0.001 (0.185)	Loss 5.1618 (4.9921)	Prec@1 1.953 (4.697)	Prec@5 14.453 (16.176)
Epoch: [1][1880/7045]	Time 0.103 (0.261)	Data 0.049 (0.185)	Loss 4.9837 (4.9923)	Prec@1 4.297 (4.693)	Prec@5 18.750 (16.170)
Epoch: [1][1890/7045]	Time 0.379 (0.261)	Data 0.322 (0.185)	Loss 5.1540 (4.9925)	Prec@1 3.125 (4.692)	Prec@5 12.109 (16.164)
Epoch: [1][1900/7045]	Time 0.567 (0.261)	Data 0.516 (0.185)	Loss 5.1226 (4.9932)	Prec@1 4.688 (4.689)	Prec@5 12.500 (16.156)
Epoch: [1][1910/7045]	Time 0.211 (0.261)	Data 0.151 (0.185)	Loss 5.0417 (4.9935)	Prec@1 3.516 (4.688)	Prec@5 15.625 (16.153)
Epoch: [1][1920/7045]	Time 0.460 (0.261)	Data 0.407 (0.185)	Loss 5.0981 (4.9935)	Prec@1 5.078 (4.688)	Prec@5 13.672 (16.152)
Epoch: [1][1930/7045]	Time 0.100 (0.261)	Data 0.049 (0.185)	Loss 5.0769 (4.9933)	Prec@1 2.734 (4.688)	Prec@5 17.969 (16.154)
Epoch: [1][1940/7045]	Time 0.148 (0.261)	Data 0.096 (0.185)	Loss 5.0425 (4.9935)	Prec@1 6.250 (4.683)	Prec@5 15.234 (16.149)
Epoch: [1][1950/7045]	Time 0.102 (0.260)	Data 0.045 (0.185)	Loss 4.9877 (4.9938)	Prec@1 5.469 (4.682)	Prec@5 17.188 (16.145)
Epoch: [1][1960/7045]	Time 0.120 (0.261)	Data 0.068 (0.185)	Loss 4.9699 (4.9941)	Prec@1 5.469 (4.680)	Prec@5 19.922 (16.143)
Epoch: [1][1970/7045]	Time 0.102 (0.260)	Data 0.001 (0.185)	Loss 5.0030 (4.9942)	Prec@1 3.906 (4.678)	Prec@5 16.797 (16.138)
Epoch: [1][1980/7045]	Time 0.149 (0.260)	Data 0.098 (0.185)	Loss 4.8997 (4.9942)	Prec@1 4.688 (4.678)	Prec@5 19.531 (16.140)
Epoch: [1][1990/7045]	Time 0.625 (0.260)	Data 0.575 (0.185)	Loss 4.9439 (4.9939)	Prec@1 3.906 (4.675)	Prec@5 19.531 (16.146)
Epoch: [1][2000/7045]	Time 0.106 (0.260)	Data 0.049 (0.185)	Loss 5.0196 (4.9941)	Prec@1 4.688 (4.675)	Prec@5 17.188 (16.150)
Epoch: [1][2010/7045]	Time 0.432 (0.260)	Data 0.376 (0.185)	Loss 4.9683 (4.9942)	Prec@1 4.297 (4.674)	Prec@5 14.844 (16.143)
Epoch: [1][2020/7045]	Time 0.313 (0.260)	Data 0.262 (0.185)	Loss 5.1119 (4.9946)	Prec@1 2.344 (4.672)	Prec@5 13.281 (16.140)
Epoch: [1][2030/7045]	Time 0.301 (0.260)	Data 0.249 (0.185)	Loss 5.0185 (4.9947)	Prec@1 5.469 (4.671)	Prec@5 17.578 (16.132)
Epoch: [1][2040/7045]	Time 0.535 (0.260)	Data 0.484 (0.185)	Loss 5.0029 (4.9948)	Prec@1 2.734 (4.670)	Prec@5 16.016 (16.126)
Epoch: [1][2050/7045]	Time 0.178 (0.260)	Data 0.127 (0.185)	Loss 5.0175 (4.9951)	Prec@1 3.516 (4.670)	Prec@5 15.625 (16.123)
Epoch: [1][2060/7045]	Time 0.500 (0.260)	Data 0.449 (0.185)	Loss 4.9933 (4.9953)	Prec@1 4.688 (4.666)	Prec@5 13.672 (16.116)
Epoch: [1][2070/7045]	Time 0.102 (0.260)	Data 0.001 (0.185)	Loss 4.8785 (4.9952)	Prec@1 4.297 (4.666)	Prec@5 20.312 (16.116)
Epoch: [1][2080/7045]	Time 0.110 (0.260)	Data 0.002 (0.185)	Loss 5.0292 (4.9953)	Prec@1 5.078 (4.660)	Prec@5 13.672 (16.113)
Epoch: [1][2090/7045]	Time 0.343 (0.260)	Data 0.286 (0.185)	Loss 5.0838 (4.9952)	Prec@1 5.078 (4.662)	Prec@5 15.234 (16.119)
Epoch: [1][2100/7045]	Time 0.104 (0.260)	Data 0.004 (0.185)	Loss 5.0039 (4.9953)	Prec@1 3.906 (4.666)	Prec@5 13.672 (16.121)
Epoch: [1][2110/7045]	Time 0.610 (0.260)	Data 0.550 (0.185)	Loss 5.1039 (4.9953)	Prec@1 3.125 (4.665)	Prec@5 12.891 (16.120)
Epoch: [1][2120/7045]	Time 0.102 (0.260)	Data 0.050 (0.185)	Loss 5.0974 (4.9955)	Prec@1 2.344 (4.663)	Prec@5 12.891 (16.116)
Epoch: [1][2130/7045]	Time 0.126 (0.260)	Data 0.075 (0.185)	Loss 5.1554 (4.9962)	Prec@1 3.906 (4.659)	Prec@5 13.281 (16.102)
Epoch: [1][2140/7045]	Time 0.100 (0.259)	Data 0.002 (0.185)	Loss 4.9463 (4.9963)	Prec@1 3.516 (4.658)	Prec@5 15.625 (16.097)
Epoch: [1][2150/7045]	Time 0.093 (0.260)	Data 0.001 (0.185)	Loss 5.0963 (4.9965)	Prec@1 7.422 (4.657)	Prec@5 18.359 (16.096)
Epoch: [1][2160/7045]	Time 0.360 (0.259)	Data 0.309 (0.184)	Loss 5.0303 (4.9968)	Prec@1 5.859 (4.658)	Prec@5 13.672 (16.090)
Epoch: [1][2170/7045]	Time 0.102 (0.259)	Data 0.001 (0.184)	Loss 5.2139 (4.9972)	Prec@1 4.297 (4.658)	Prec@5 10.938 (16.090)
Epoch: [1][2180/7045]	Time 0.705 (0.259)	Data 0.653 (0.184)	Loss 4.8393 (4.9973)	Prec@1 5.859 (4.657)	Prec@5 19.531 (16.086)
Epoch: [1][2190/7045]	Time 0.106 (0.259)	Data 0.001 (0.184)	Loss 4.9737 (4.9974)	Prec@1 4.297 (4.657)	Prec@5 17.969 (16.089)
Epoch: [1][2200/7045]	Time 0.625 (0.259)	Data 0.568 (0.184)	Loss 4.9951 (4.9976)	Prec@1 6.250 (4.656)	Prec@5 18.359 (16.085)
Epoch: [1][2210/7045]	Time 0.102 (0.259)	Data 0.001 (0.184)	Loss 5.1715 (4.9978)	Prec@1 2.344 (4.655)	Prec@5 11.328 (16.082)
Epoch: [1][2220/7045]	Time 0.163 (0.259)	Data 0.112 (0.184)	Loss 5.0534 (4.9980)	Prec@1 4.688 (4.654)	Prec@5 14.844 (16.076)
Epoch: [1][2230/7045]	Time 0.102 (0.259)	Data 0.001 (0.184)	Loss 5.0337 (4.9984)	Prec@1 5.859 (4.652)	Prec@5 16.797 (16.070)
Epoch: [1][2240/7045]	Time 0.101 (0.259)	Data 0.001 (0.184)	Loss 5.0622 (4.9985)	Prec@1 6.250 (4.652)	Prec@5 16.797 (16.069)
Epoch: [1][2250/7045]	Time 0.113 (0.259)	Data 0.058 (0.184)	Loss 5.0945 (4.9987)	Prec@1 4.297 (4.651)	Prec@5 14.844 (16.070)
Epoch: [1][2260/7045]	Time 0.144 (0.259)	Data 0.093 (0.184)	Loss 5.0070 (4.9988)	Prec@1 5.469 (4.648)	Prec@5 17.188 (16.066)
Epoch: [1][2270/7045]	Time 0.631 (0.259)	Data 0.571 (0.184)	Loss 5.1094 (4.9992)	Prec@1 4.688 (4.647)	Prec@5 13.281 (16.059)
Epoch: [1][2280/7045]	Time 0.102 (0.259)	Data 0.001 (0.184)	Loss 5.2216 (4.9994)	Prec@1 1.953 (4.644)	Prec@5 12.891 (16.056)
Epoch: [1][2290/7045]	Time 0.573 (0.259)	Data 0.517 (0.184)	Loss 4.9765 (4.9994)	Prec@1 3.516 (4.645)	Prec@5 11.719 (16.055)
Epoch: [1][2300/7045]	Time 0.102 (0.259)	Data 0.043 (0.184)	Loss 4.8529 (4.9996)	Prec@1 5.078 (4.645)	Prec@5 19.141 (16.048)
Epoch: [1][2310/7045]	Time 0.153 (0.259)	Data 0.097 (0.184)	Loss 5.1485 (5.0000)	Prec@1 5.469 (4.641)	Prec@5 14.453 (16.037)
Epoch: [1][2320/7045]	Time 0.101 (0.258)	Data 0.001 (0.183)	Loss 5.1376 (5.0004)	Prec@1 4.688 (4.641)	Prec@5 14.062 (16.034)
Epoch: [1][2330/7045]	Time 0.113 (0.258)	Data 0.062 (0.184)	Loss 5.0855 (5.0006)	Prec@1 3.516 (4.641)	Prec@5 16.406 (16.033)
Epoch: [1][2340/7045]	Time 0.102 (0.258)	Data 0.001 (0.183)	Loss 5.1314 (5.0007)	Prec@1 2.734 (4.641)	Prec@5 11.328 (16.034)
Epoch: [1][2350/7045]	Time 0.203 (0.258)	Data 0.145 (0.184)	Loss 5.0084 (5.0013)	Prec@1 6.250 (4.637)	Prec@5 22.266 (16.027)
Epoch: [1][2360/7045]	Time 0.561 (0.258)	Data 0.509 (0.184)	Loss 4.9656 (5.0015)	Prec@1 4.688 (4.635)	Prec@5 17.578 (16.022)
Epoch: [1][2370/7045]	Time 0.101 (0.258)	Data 0.009 (0.184)	Loss 4.9236 (5.0016)	Prec@1 6.641 (4.632)	Prec@5 18.750 (16.018)
Epoch: [1][2380/7045]	Time 0.202 (0.258)	Data 0.151 (0.184)	Loss 4.9591 (5.0016)	Prec@1 4.688 (4.631)	Prec@5 16.406 (16.017)
Epoch: [1][2390/7045]	Time 0.108 (0.258)	Data 0.056 (0.184)	Loss 5.0090 (5.0015)	Prec@1 3.906 (4.632)	Prec@5 17.969 (16.015)
Epoch: [1][2400/7045]	Time 0.496 (0.258)	Data 0.444 (0.184)	Loss 5.1709 (5.0017)	Prec@1 3.516 (4.632)	Prec@5 14.062 (16.011)
Epoch: [1][2410/7045]	Time 0.118 (0.258)	Data 0.066 (0.184)	Loss 5.1396 (5.0018)	Prec@1 5.469 (4.630)	Prec@5 16.016 (16.011)
Epoch: [1][2420/7045]	Time 0.232 (0.258)	Data 0.180 (0.184)	Loss 5.0895 (5.0021)	Prec@1 3.516 (4.628)	Prec@5 15.234 (16.005)
Epoch: [1][2430/7045]	Time 0.301 (0.258)	Data 0.249 (0.184)	Loss 5.0935 (5.0023)	Prec@1 5.078 (4.629)	Prec@5 14.844 (16.004)
Epoch: [1][2440/7045]	Time 0.112 (0.258)	Data 0.001 (0.184)	Loss 5.1028 (5.0027)	Prec@1 6.641 (4.628)	Prec@5 17.188 (15.999)
Epoch: [1][2450/7045]	Time 0.246 (0.258)	Data 0.195 (0.184)	Loss 5.1370 (5.0029)	Prec@1 3.906 (4.628)	Prec@5 14.062 (15.992)
Epoch: [1][2460/7045]	Time 0.219 (0.258)	Data 0.168 (0.184)	Loss 5.0754 (5.0033)	Prec@1 3.516 (4.622)	Prec@5 14.453 (15.982)
Epoch: [1][2470/7045]	Time 0.182 (0.258)	Data 0.131 (0.184)	Loss 5.1316 (5.0037)	Prec@1 2.734 (4.619)	Prec@5 10.156 (15.975)
Epoch: [1][2480/7045]	Time 0.154 (0.258)	Data 0.102 (0.184)	Loss 5.0710 (5.0039)	Prec@1 3.125 (4.618)	Prec@5 16.016 (15.976)
Epoch: [1][2490/7045]	Time 0.384 (0.258)	Data 0.333 (0.184)	Loss 4.9968 (5.0039)	Prec@1 4.688 (4.618)	Prec@5 16.016 (15.970)
Epoch: [1][2500/7045]	Time 0.105 (0.258)	Data 0.001 (0.184)	Loss 4.9905 (5.0041)	Prec@1 4.688 (4.614)	Prec@5 17.578 (15.970)
Epoch: [1][2510/7045]	Time 0.396 (0.258)	Data 0.345 (0.184)	Loss 5.1802 (5.0043)	Prec@1 3.125 (4.615)	Prec@5 13.672 (15.966)
Epoch: [1][2520/7045]	Time 0.142 (0.258)	Data 0.091 (0.184)	Loss 4.9431 (5.0043)	Prec@1 3.125 (4.615)	Prec@5 13.281 (15.965)
Epoch: [1][2530/7045]	Time 0.109 (0.258)	Data 0.001 (0.184)	Loss 4.9668 (5.0045)	Prec@1 3.516 (4.610)	Prec@5 12.891 (15.961)
Epoch: [1][2540/7045]	Time 0.103 (0.258)	Data 0.051 (0.184)	Loss 4.9882 (5.0048)	Prec@1 7.031 (4.609)	Prec@5 16.797 (15.954)
Epoch: [1][2550/7045]	Time 0.105 (0.258)	Data 0.005 (0.184)	Loss 5.1305 (5.0048)	Prec@1 4.688 (4.610)	Prec@5 12.500 (15.957)
Epoch: [1][2560/7045]	Time 0.492 (0.258)	Data 0.441 (0.184)	Loss 4.8617 (5.0049)	Prec@1 8.594 (4.610)	Prec@5 18.750 (15.959)
Epoch: [1][2570/7045]	Time 0.110 (0.258)	Data 0.012 (0.184)	Loss 4.9117 (5.0048)	Prec@1 4.688 (4.611)	Prec@5 17.578 (15.958)
Epoch: [1][2580/7045]	Time 0.101 (0.258)	Data 0.017 (0.184)	Loss 5.0155 (5.0050)	Prec@1 3.516 (4.610)	Prec@5 16.406 (15.959)
Epoch: [1][2590/7045]	Time 0.374 (0.258)	Data 0.322 (0.184)	Loss 5.0020 (5.0049)	Prec@1 6.250 (4.613)	Prec@5 15.625 (15.961)
Epoch: [1][2600/7045]	Time 0.347 (0.258)	Data 0.295 (0.184)	Loss 5.1107 (5.0050)	Prec@1 6.641 (4.613)	Prec@5 15.234 (15.960)
Epoch: [1][2610/7045]	Time 0.102 (0.258)	Data 0.001 (0.184)	Loss 4.9519 (5.0049)	Prec@1 4.297 (4.616)	Prec@5 14.844 (15.959)
Epoch: [1][2620/7045]	Time 0.103 (0.258)	Data 0.001 (0.184)	Loss 5.1473 (5.0053)	Prec@1 3.906 (4.615)	Prec@5 10.938 (15.953)
Epoch: [1][2630/7045]	Time 0.187 (0.257)	Data 0.135 (0.184)	Loss 5.1930 (5.0057)	Prec@1 6.250 (4.613)	Prec@5 16.016 (15.947)
Epoch: [1][2640/7045]	Time 0.485 (0.257)	Data 0.433 (0.184)	Loss 5.0400 (5.0057)	Prec@1 2.734 (4.611)	Prec@5 13.672 (15.945)
Epoch: [1][2650/7045]	Time 0.107 (0.257)	Data 0.006 (0.184)	Loss 5.0458 (5.0059)	Prec@1 3.516 (4.609)	Prec@5 12.891 (15.941)
Epoch: [1][2660/7045]	Time 0.389 (0.257)	Data 0.337 (0.184)	Loss 5.0736 (5.0058)	Prec@1 4.297 (4.607)	Prec@5 13.672 (15.943)
Epoch: [1][2670/7045]	Time 0.650 (0.257)	Data 0.598 (0.184)	Loss 4.9618 (5.0058)	Prec@1 7.031 (4.608)	Prec@5 19.141 (15.945)
Epoch: [1][2680/7045]	Time 0.204 (0.257)	Data 0.145 (0.184)	Loss 5.0639 (5.0060)	Prec@1 3.125 (4.608)	Prec@5 14.453 (15.941)
Epoch: [1][2690/7045]	Time 0.384 (0.257)	Data 0.333 (0.184)	Loss 5.1418 (5.0061)	Prec@1 2.734 (4.607)	Prec@5 14.453 (15.938)
Epoch: [1][2700/7045]	Time 0.140 (0.257)	Data 0.088 (0.184)	Loss 5.0471 (5.0065)	Prec@1 3.906 (4.606)	Prec@5 12.891 (15.929)
Epoch: [1][2710/7045]	Time 0.101 (0.257)	Data 0.001 (0.184)	Loss 5.1034 (5.0068)	Prec@1 5.078 (4.605)	Prec@5 14.453 (15.924)
Epoch: [1][2720/7045]	Time 0.277 (0.257)	Data 0.225 (0.184)	Loss 5.1055 (5.0069)	Prec@1 4.297 (4.604)	Prec@5 15.234 (15.923)
Epoch: [1][2730/7045]	Time 0.274 (0.257)	Data 0.223 (0.184)	Loss 5.0248 (5.0072)	Prec@1 3.516 (4.604)	Prec@5 15.625 (15.918)
Epoch: [1][2740/7045]	Time 0.288 (0.257)	Data 0.237 (0.184)	Loss 5.0290 (5.0072)	Prec@1 2.734 (4.604)	Prec@5 12.500 (15.918)
Epoch: [1][2750/7045]	Time 0.208 (0.257)	Data 0.157 (0.184)	Loss 5.0220 (5.0073)	Prec@1 5.859 (4.604)	Prec@5 16.016 (15.916)
Epoch: [1][2760/7045]	Time 0.102 (0.257)	Data 0.001 (0.184)	Loss 4.9329 (5.0073)	Prec@1 5.078 (4.602)	Prec@5 17.578 (15.912)
Epoch: [1][2770/7045]	Time 0.242 (0.257)	Data 0.191 (0.184)	Loss 5.0412 (5.0075)	Prec@1 5.078 (4.601)	Prec@5 15.625 (15.909)
Epoch: [1][2780/7045]	Time 0.101 (0.257)	Data 0.001 (0.184)	Loss 4.9248 (5.0077)	Prec@1 4.688 (4.603)	Prec@5 14.062 (15.906)
Epoch: [1][2790/7045]	Time 0.108 (0.257)	Data 0.001 (0.184)	Loss 5.0112 (5.0079)	Prec@1 4.688 (4.602)	Prec@5 17.969 (15.902)
Epoch: [1][2800/7045]	Time 0.101 (0.257)	Data 0.009 (0.184)	Loss 4.8488 (5.0079)	Prec@1 3.906 (4.602)	Prec@5 19.922 (15.905)
Epoch: [1][2810/7045]	Time 0.107 (0.257)	Data 0.009 (0.184)	Loss 5.0945 (5.0078)	Prec@1 3.906 (4.603)	Prec@5 15.625 (15.907)
Epoch: [1][2820/7045]	Time 0.189 (0.257)	Data 0.138 (0.184)	Loss 5.0781 (5.0081)	Prec@1 3.516 (4.601)	Prec@5 12.109 (15.901)
Epoch: [1][2830/7045]	Time 0.102 (0.257)	Data 0.001 (0.184)	Loss 5.2401 (5.0081)	Prec@1 2.344 (4.603)	Prec@5 12.500 (15.901)
Epoch: [1][2840/7045]	Time 0.142 (0.257)	Data 0.091 (0.184)	Loss 4.9894 (5.0083)	Prec@1 3.906 (4.601)	Prec@5 14.062 (15.897)
Epoch: [1][2850/7045]	Time 0.102 (0.257)	Data 0.005 (0.184)	Loss 5.0387 (5.0084)	Prec@1 4.297 (4.601)	Prec@5 16.406 (15.898)
Epoch: [1][2860/7045]	Time 0.388 (0.257)	Data 0.337 (0.184)	Loss 5.1709 (5.0084)	Prec@1 4.297 (4.605)	Prec@5 12.891 (15.899)
Epoch: [1][2870/7045]	Time 0.101 (0.257)	Data 0.001 (0.184)	Loss 4.9542 (5.0086)	Prec@1 6.641 (4.604)	Prec@5 16.406 (15.896)
Epoch: [1][2880/7045]	Time 0.596 (0.257)	Data 0.544 (0.184)	Loss 4.9660 (5.0087)	Prec@1 2.734 (4.602)	Prec@5 16.797 (15.893)
Epoch: [1][2890/7045]	Time 0.271 (0.257)	Data 0.220 (0.184)	Loss 4.9777 (5.0087)	Prec@1 6.641 (4.601)	Prec@5 17.578 (15.891)
Epoch: [1][2900/7045]	Time 0.311 (0.257)	Data 0.259 (0.184)	Loss 4.9908 (5.0087)	Prec@1 4.297 (4.602)	Prec@5 19.922 (15.892)
Epoch: [1][2910/7045]	Time 0.449 (0.257)	Data 0.399 (0.184)	Loss 5.0095 (5.0089)	Prec@1 6.641 (4.603)	Prec@5 15.234 (15.893)
Epoch: [1][2920/7045]	Time 0.106 (0.257)	Data 0.054 (0.184)	Loss 4.8973 (5.0088)	Prec@1 5.469 (4.604)	Prec@5 17.188 (15.894)
Epoch: [1][2930/7045]	Time 0.505 (0.257)	Data 0.454 (0.184)	Loss 5.1427 (5.0091)	Prec@1 3.906 (4.602)	Prec@5 12.109 (15.887)
Epoch: [1][2940/7045]	Time 0.109 (0.256)	Data 0.057 (0.184)	Loss 4.9279 (5.0092)	Prec@1 6.641 (4.603)	Prec@5 19.531 (15.885)
Epoch: [1][2950/7045]	Time 0.529 (0.257)	Data 0.479 (0.184)	Loss 4.9499 (5.0091)	Prec@1 2.344 (4.602)	Prec@5 13.281 (15.882)
Epoch: [1][2960/7045]	Time 0.104 (0.256)	Data 0.051 (0.184)	Loss 4.9564 (5.0093)	Prec@1 3.125 (4.600)	Prec@5 13.281 (15.877)
Epoch: [1][2970/7045]	Time 0.539 (0.256)	Data 0.489 (0.184)	Loss 5.1270 (5.0093)	Prec@1 3.125 (4.598)	Prec@5 14.062 (15.873)
Epoch: [1][2980/7045]	Time 0.129 (0.256)	Data 0.078 (0.184)	Loss 5.0629 (5.0094)	Prec@1 7.031 (4.597)	Prec@5 18.750 (15.872)
Epoch: [1][2990/7045]	Time 0.340 (0.256)	Data 0.289 (0.184)	Loss 4.9864 (5.0094)	Prec@1 3.516 (4.596)	Prec@5 16.406 (15.875)
Epoch: [1][3000/7045]	Time 0.103 (0.256)	Data 0.001 (0.184)	Loss 5.2349 (5.0096)	Prec@1 3.906 (4.594)	Prec@5 11.719 (15.872)
Epoch: [1][3010/7045]	Time 0.106 (0.256)	Data 0.054 (0.184)	Loss 4.9814 (5.0099)	Prec@1 5.078 (4.592)	Prec@5 19.922 (15.869)
Epoch: [1][3020/7045]	Time 0.173 (0.256)	Data 0.123 (0.183)	Loss 5.1985 (5.0102)	Prec@1 1.953 (4.590)	Prec@5 9.766 (15.863)
Epoch: [1][3030/7045]	Time 0.149 (0.256)	Data 0.099 (0.183)	Loss 5.1249 (5.0106)	Prec@1 3.125 (4.586)	Prec@5 11.328 (15.852)
Epoch: [1][3040/7045]	Time 0.476 (0.256)	Data 0.424 (0.183)	Loss 5.0500 (5.0107)	Prec@1 5.078 (4.586)	Prec@5 14.062 (15.850)
Epoch: [1][3050/7045]	Time 0.104 (0.256)	Data 0.052 (0.183)	Loss 4.9838 (5.0109)	Prec@1 4.297 (4.582)	Prec@5 15.234 (15.844)
Epoch: [1][3060/7045]	Time 0.532 (0.256)	Data 0.476 (0.183)	Loss 4.9917 (5.0109)	Prec@1 4.688 (4.581)	Prec@5 14.844 (15.840)
Epoch: [1][3070/7045]	Time 0.102 (0.256)	Data 0.001 (0.183)	Loss 4.9883 (5.0110)	Prec@1 6.641 (4.580)	Prec@5 15.234 (15.838)
Epoch: [1][3080/7045]	Time 0.547 (0.256)	Data 0.495 (0.183)	Loss 5.0117 (5.0112)	Prec@1 3.906 (4.580)	Prec@5 14.844 (15.832)
Epoch: [1][3090/7045]	Time 0.102 (0.256)	Data 0.001 (0.183)	Loss 4.9922 (5.0112)	Prec@1 3.516 (4.578)	Prec@5 17.969 (15.833)
Epoch: [1][3100/7045]	Time 0.102 (0.256)	Data 0.001 (0.183)	Loss 5.0383 (5.0112)	Prec@1 4.297 (4.577)	Prec@5 17.578 (15.829)
Epoch: [1][3110/7045]	Time 0.102 (0.256)	Data 0.001 (0.183)	Loss 5.0556 (5.0113)	Prec@1 3.906 (4.575)	Prec@5 16.406 (15.830)
Epoch: [1][3120/7045]	Time 0.212 (0.256)	Data 0.160 (0.183)	Loss 5.1046 (5.0113)	Prec@1 2.344 (4.575)	Prec@5 13.672 (15.829)
Epoch: [1][3130/7045]	Time 0.328 (0.256)	Data 0.277 (0.183)	Loss 4.9175 (5.0113)	Prec@1 5.078 (4.575)	Prec@5 18.750 (15.826)
Epoch: [1][3140/7045]	Time 0.101 (0.256)	Data 0.044 (0.183)	Loss 5.0650 (5.0115)	Prec@1 2.344 (4.573)	Prec@5 15.234 (15.825)
Epoch: [1][3150/7045]	Time 0.753 (0.256)	Data 0.702 (0.183)	Loss 5.0839 (5.0115)	Prec@1 2.734 (4.571)	Prec@5 14.062 (15.823)
Epoch: [1][3160/7045]	Time 0.110 (0.256)	Data 0.001 (0.183)	Loss 5.0614 (5.0116)	Prec@1 2.734 (4.571)	Prec@5 13.672 (15.822)
Epoch: [1][3170/7045]	Time 0.382 (0.256)	Data 0.325 (0.183)	Loss 5.0851 (5.0117)	Prec@1 4.688 (4.569)	Prec@5 14.062 (15.819)
Epoch: [1][3180/7045]	Time 0.103 (0.256)	Data 0.001 (0.183)	Loss 5.0775 (5.0118)	Prec@1 5.469 (4.570)	Prec@5 17.969 (15.818)
Epoch: [1][3190/7045]	Time 0.111 (0.256)	Data 0.001 (0.183)	Loss 5.0357 (5.0120)	Prec@1 5.859 (4.569)	Prec@5 17.969 (15.814)
Epoch: [1][3200/7045]	Time 0.164 (0.256)	Data 0.113 (0.183)	Loss 5.0919 (5.0122)	Prec@1 5.859 (4.570)	Prec@5 15.625 (15.810)
Epoch: [1][3210/7045]	Time 0.106 (0.256)	Data 0.004 (0.183)	Loss 4.9987 (5.0122)	Prec@1 4.688 (4.569)	Prec@5 13.281 (15.807)
Epoch: [1][3220/7045]	Time 0.388 (0.256)	Data 0.337 (0.183)	Loss 4.8689 (5.0121)	Prec@1 5.469 (4.570)	Prec@5 16.406 (15.808)
Epoch: [1][3230/7045]	Time 0.223 (0.255)	Data 0.172 (0.183)	Loss 5.0975 (5.0121)	Prec@1 1.562 (4.569)	Prec@5 11.328 (15.807)
Epoch: [1][3240/7045]	Time 0.642 (0.256)	Data 0.592 (0.183)	Loss 5.0014 (5.0123)	Prec@1 4.297 (4.567)	Prec@5 15.625 (15.803)
Epoch: [1][3250/7045]	Time 0.109 (0.255)	Data 0.007 (0.183)	Loss 5.0880 (5.0126)	Prec@1 3.516 (4.565)	Prec@5 15.625 (15.798)
Epoch: [1][3260/7045]	Time 0.317 (0.255)	Data 0.266 (0.183)	Loss 5.0824 (5.0127)	Prec@1 1.562 (4.566)	Prec@5 13.672 (15.798)
Epoch: [1][3270/7045]	Time 0.107 (0.255)	Data 0.056 (0.183)	Loss 5.0855 (5.0127)	Prec@1 5.469 (4.566)	Prec@5 15.625 (15.799)
Epoch: [1][3280/7045]	Time 0.555 (0.255)	Data 0.496 (0.183)	Loss 5.1247 (5.0128)	Prec@1 6.250 (4.566)	Prec@5 16.797 (15.797)
Epoch: [1][3290/7045]	Time 0.233 (0.255)	Data 0.182 (0.183)	Loss 5.0197 (5.0129)	Prec@1 6.250 (4.568)	Prec@5 14.844 (15.793)
Epoch: [1][3300/7045]	Time 0.396 (0.255)	Data 0.341 (0.183)	Loss 5.0148 (5.0128)	Prec@1 4.688 (4.566)	Prec@5 14.453 (15.793)
Epoch: [1][3310/7045]	Time 0.133 (0.255)	Data 0.081 (0.183)	Loss 5.0147 (5.0128)	Prec@1 4.688 (4.565)	Prec@5 15.234 (15.792)
Epoch: [1][3320/7045]	Time 0.122 (0.255)	Data 0.071 (0.183)	Loss 4.9392 (5.0130)	Prec@1 6.641 (4.563)	Prec@5 16.016 (15.787)
Epoch: [1][3330/7045]	Time 0.191 (0.255)	Data 0.139 (0.183)	Loss 4.9116 (5.0131)	Prec@1 6.641 (4.562)	Prec@5 20.312 (15.788)
Epoch: [1][3340/7045]	Time 0.128 (0.255)	Data 0.077 (0.183)	Loss 4.8532 (5.0131)	Prec@1 7.031 (4.562)	Prec@5 24.219 (15.789)
Epoch: [1][3350/7045]	Time 0.103 (0.255)	Data 0.048 (0.183)	Loss 5.0800 (5.0132)	Prec@1 2.344 (4.562)	Prec@5 13.672 (15.789)
Epoch: [1][3360/7045]	Time 0.348 (0.255)	Data 0.296 (0.183)	Loss 5.0337 (5.0134)	Prec@1 4.688 (4.562)	Prec@5 12.891 (15.787)
Epoch: [1][3370/7045]	Time 0.195 (0.255)	Data 0.144 (0.183)	Loss 5.0580 (5.0135)	Prec@1 3.516 (4.561)	Prec@5 10.938 (15.784)
Epoch: [1][3380/7045]	Time 0.368 (0.255)	Data 0.311 (0.183)	Loss 4.9654 (5.0137)	Prec@1 3.906 (4.560)	Prec@5 17.578 (15.780)
Epoch: [1][3390/7045]	Time 0.295 (0.255)	Data 0.245 (0.183)	Loss 4.9849 (5.0139)	Prec@1 6.250 (4.560)	Prec@5 19.141 (15.775)
Epoch: [1][3400/7045]	Time 0.535 (0.255)	Data 0.485 (0.183)	Loss 5.0637 (5.0142)	Prec@1 3.906 (4.557)	Prec@5 12.500 (15.770)
Epoch: [1][3410/7045]	Time 0.206 (0.255)	Data 0.147 (0.183)	Loss 5.0696 (5.0142)	Prec@1 3.125 (4.558)	Prec@5 14.453 (15.770)
Epoch: [1][3420/7045]	Time 0.441 (0.255)	Data 0.391 (0.183)	Loss 5.1067 (5.0146)	Prec@1 3.516 (4.554)	Prec@5 14.062 (15.764)
Epoch: [1][3430/7045]	Time 0.290 (0.255)	Data 0.240 (0.183)	Loss 5.0218 (5.0147)	Prec@1 4.297 (4.554)	Prec@5 15.234 (15.761)
Epoch: [1][3440/7045]	Time 0.134 (0.255)	Data 0.083 (0.183)	Loss 5.0863 (5.0148)	Prec@1 4.688 (4.554)	Prec@5 15.625 (15.758)
Epoch: [1][3450/7045]	Time 0.564 (0.255)	Data 0.512 (0.183)	Loss 4.9910 (5.0150)	Prec@1 6.641 (4.554)	Prec@5 18.359 (15.757)
Epoch: [1][3460/7045]	Time 0.110 (0.255)	Data 0.058 (0.183)	Loss 5.0722 (5.0152)	Prec@1 3.516 (4.553)	Prec@5 12.500 (15.755)
Epoch: [1][3470/7045]	Time 0.482 (0.255)	Data 0.430 (0.183)	Loss 5.0175 (5.0152)	Prec@1 3.125 (4.552)	Prec@5 18.359 (15.755)
Epoch: [1][3480/7045]	Time 0.110 (0.255)	Data 0.057 (0.183)	Loss 5.3034 (5.0157)	Prec@1 2.734 (4.548)	Prec@5 11.328 (15.746)
Epoch: [1][3490/7045]	Time 0.216 (0.255)	Data 0.165 (0.183)	Loss 5.0180 (5.0159)	Prec@1 5.859 (4.548)	Prec@5 16.406 (15.744)
Epoch: [1][3500/7045]	Time 0.102 (0.255)	Data 0.001 (0.183)	Loss 5.0799 (5.0161)	Prec@1 5.078 (4.544)	Prec@5 13.672 (15.739)
Epoch: [1][3510/7045]	Time 0.261 (0.255)	Data 0.210 (0.183)	Loss 5.1538 (5.0163)	Prec@1 3.516 (4.543)	Prec@5 12.891 (15.735)
Epoch: [1][3520/7045]	Time 0.102 (0.255)	Data 0.016 (0.183)	Loss 5.0579 (5.0165)	Prec@1 3.125 (4.541)	Prec@5 13.672 (15.730)
Epoch: [1][3530/7045]	Time 0.332 (0.255)	Data 0.280 (0.183)	Loss 5.0513 (5.0164)	Prec@1 5.469 (4.541)	Prec@5 13.281 (15.731)
Epoch: [1][3540/7045]	Time 0.425 (0.255)	Data 0.374 (0.183)	Loss 5.1055 (5.0165)	Prec@1 3.516 (4.540)	Prec@5 13.281 (15.729)
Epoch: [1][3550/7045]	Time 0.183 (0.255)	Data 0.133 (0.183)	Loss 5.0239 (5.0166)	Prec@1 4.688 (4.538)	Prec@5 15.625 (15.726)
Epoch: [1][3560/7045]	Time 0.312 (0.255)	Data 0.262 (0.183)	Loss 5.1074 (5.0167)	Prec@1 4.297 (4.536)	Prec@5 14.453 (15.724)
Epoch: [1][3570/7045]	Time 0.101 (0.255)	Data 0.005 (0.183)	Loss 4.9830 (5.0169)	Prec@1 2.734 (4.534)	Prec@5 10.938 (15.718)
Epoch: [1][3580/7045]	Time 0.147 (0.255)	Data 0.097 (0.183)	Loss 4.9695 (5.0170)	Prec@1 6.250 (4.535)	Prec@5 17.578 (15.716)
Epoch: [1][3590/7045]	Time 0.182 (0.255)	Data 0.128 (0.183)	Loss 5.0877 (5.0171)	Prec@1 4.297 (4.536)	Prec@5 17.969 (15.714)
Epoch: [1][3600/7045]	Time 0.482 (0.255)	Data 0.431 (0.183)	Loss 5.1340 (5.0172)	Prec@1 3.906 (4.535)	Prec@5 14.453 (15.715)
Epoch: [1][3610/7045]	Time 0.377 (0.255)	Data 0.326 (0.183)	Loss 5.1390 (5.0174)	Prec@1 2.734 (4.533)	Prec@5 13.281 (15.713)
Epoch: [1][3620/7045]	Time 0.329 (0.255)	Data 0.278 (0.183)	Loss 4.9664 (5.0174)	Prec@1 4.688 (4.533)	Prec@5 16.016 (15.714)
Epoch: [1][3630/7045]	Time 0.432 (0.255)	Data 0.381 (0.183)	Loss 5.0709 (5.0174)	Prec@1 3.906 (4.533)	Prec@5 14.062 (15.712)
Epoch: [1][3640/7045]	Time 0.102 (0.254)	Data 0.011 (0.183)	Loss 5.0941 (5.0176)	Prec@1 3.516 (4.532)	Prec@5 12.891 (15.707)
Epoch: [1][3650/7045]	Time 0.346 (0.254)	Data 0.294 (0.183)	Loss 5.2594 (5.0179)	Prec@1 1.953 (4.530)	Prec@5 11.719 (15.701)
Epoch: [1][3660/7045]	Time 0.106 (0.254)	Data 0.054 (0.183)	Loss 5.0170 (5.0181)	Prec@1 4.297 (4.529)	Prec@5 17.578 (15.699)
Epoch: [1][3670/7045]	Time 0.110 (0.254)	Data 0.001 (0.183)	Loss 5.0660 (5.0183)	Prec@1 3.125 (4.527)	Prec@5 12.891 (15.693)
Epoch: [1][3680/7045]	Time 0.100 (0.254)	Data 0.040 (0.183)	Loss 5.1121 (5.0184)	Prec@1 4.688 (4.526)	Prec@5 12.891 (15.688)
Epoch: [1][3690/7045]	Time 0.240 (0.254)	Data 0.190 (0.183)	Loss 4.9478 (5.0183)	Prec@1 6.250 (4.525)	Prec@5 17.188 (15.687)
Epoch: [1][3700/7045]	Time 0.308 (0.254)	Data 0.257 (0.183)	Loss 5.0546 (5.0186)	Prec@1 1.562 (4.523)	Prec@5 14.453 (15.685)
Epoch: [1][3710/7045]	Time 0.196 (0.254)	Data 0.137 (0.183)	Loss 5.0711 (5.0188)	Prec@1 3.125 (4.521)	Prec@5 11.719 (15.682)
Epoch: [1][3720/7045]	Time 0.563 (0.254)	Data 0.511 (0.183)	Loss 5.0404 (5.0189)	Prec@1 4.297 (4.521)	Prec@5 13.672 (15.677)
Epoch: [1][3730/7045]	Time 0.100 (0.254)	Data 0.001 (0.183)	Loss 5.0547 (5.0191)	Prec@1 2.734 (4.522)	Prec@5 14.844 (15.677)
Epoch: [1][3740/7045]	Time 0.231 (0.254)	Data 0.179 (0.183)	Loss 5.0530 (5.0192)	Prec@1 5.859 (4.522)	Prec@5 14.844 (15.673)
Epoch: [1][3750/7045]	Time 0.101 (0.254)	Data 0.047 (0.183)	Loss 5.0009 (5.0191)	Prec@1 4.297 (4.522)	Prec@5 14.062 (15.674)
Epoch: [1][3760/7045]	Time 0.106 (0.254)	Data 0.052 (0.183)	Loss 4.8155 (5.0190)	Prec@1 6.250 (4.522)	Prec@5 18.359 (15.675)
Epoch: [1][3770/7045]	Time 0.103 (0.254)	Data 0.051 (0.183)	Loss 4.9270 (5.0190)	Prec@1 4.688 (4.522)	Prec@5 18.359 (15.675)
Epoch: [1][3780/7045]	Time 0.361 (0.254)	Data 0.310 (0.183)	Loss 5.1050 (5.0190)	Prec@1 3.516 (4.521)	Prec@5 14.062 (15.673)
Epoch: [1][3790/7045]	Time 0.101 (0.254)	Data 0.001 (0.183)	Loss 5.1236 (5.0191)	Prec@1 4.297 (4.521)	Prec@5 14.062 (15.674)
Epoch: [1][3800/7045]	Time 0.506 (0.254)	Data 0.450 (0.183)	Loss 5.1325 (5.0194)	Prec@1 5.078 (4.519)	Prec@5 14.844 (15.670)
Epoch: [1][3810/7045]	Time 0.352 (0.254)	Data 0.291 (0.183)	Loss 5.1727 (5.0196)	Prec@1 4.297 (4.518)	Prec@5 11.719 (15.664)
Epoch: [1][3820/7045]	Time 0.207 (0.254)	Data 0.155 (0.183)	Loss 5.0016 (5.0197)	Prec@1 6.250 (4.518)	Prec@5 17.969 (15.664)
Epoch: [1][3830/7045]	Time 0.188 (0.254)	Data 0.138 (0.183)	Loss 5.0467 (5.0199)	Prec@1 3.906 (4.519)	Prec@5 15.625 (15.662)
Epoch: [1][3840/7045]	Time 0.102 (0.254)	Data 0.001 (0.183)	Loss 5.0222 (5.0199)	Prec@1 1.562 (4.518)	Prec@5 15.625 (15.662)
Epoch: [1][3850/7045]	Time 0.108 (0.254)	Data 0.043 (0.183)	Loss 4.9868 (5.0200)	Prec@1 5.859 (4.517)	Prec@5 15.234 (15.659)
Epoch: [1][3860/7045]	Time 0.270 (0.254)	Data 0.219 (0.183)	Loss 5.1374 (5.0201)	Prec@1 3.125 (4.519)	Prec@5 13.281 (15.659)
Epoch: [1][3870/7045]	Time 0.621 (0.254)	Data 0.569 (0.183)	Loss 5.1256 (5.0203)	Prec@1 5.859 (4.519)	Prec@5 12.891 (15.656)
Epoch: [1][3880/7045]	Time 0.363 (0.254)	Data 0.312 (0.183)	Loss 5.0125 (5.0205)	Prec@1 5.469 (4.518)	Prec@5 17.188 (15.651)
Epoch: [1][3890/7045]	Time 0.471 (0.254)	Data 0.421 (0.183)	Loss 4.9967 (5.0205)	Prec@1 5.078 (4.518)	Prec@5 14.844 (15.649)
Epoch: [1][3900/7045]	Time 0.111 (0.254)	Data 0.051 (0.183)	Loss 4.9813 (5.0206)	Prec@1 6.250 (4.518)	Prec@5 16.016 (15.648)
Epoch: [1][3910/7045]	Time 0.359 (0.254)	Data 0.308 (0.183)	Loss 4.9915 (5.0207)	Prec@1 4.297 (4.516)	Prec@5 17.578 (15.645)
Epoch: [1][3920/7045]	Time 0.272 (0.254)	Data 0.221 (0.183)	Loss 5.1379 (5.0208)	Prec@1 4.297 (4.515)	Prec@5 14.062 (15.643)
Epoch: [1][3930/7045]	Time 0.102 (0.254)	Data 0.016 (0.183)	Loss 4.9935 (5.0210)	Prec@1 4.688 (4.514)	Prec@5 15.234 (15.641)
Epoch: [1][3940/7045]	Time 0.175 (0.254)	Data 0.125 (0.183)	Loss 5.0524 (5.0212)	Prec@1 4.688 (4.513)	Prec@5 14.844 (15.638)
Epoch: [1][3950/7045]	Time 0.257 (0.254)	Data 0.206 (0.183)	Loss 5.0076 (5.0210)	Prec@1 5.469 (4.512)	Prec@5 18.750 (15.641)
Epoch: [1][3960/7045]	Time 0.361 (0.254)	Data 0.310 (0.183)	Loss 5.1838 (5.0212)	Prec@1 5.469 (4.512)	Prec@5 14.844 (15.641)
Epoch: [1][3970/7045]	Time 0.176 (0.254)	Data 0.124 (0.183)	Loss 5.1008 (5.0213)	Prec@1 2.734 (4.511)	Prec@5 13.281 (15.637)
Epoch: [1][3980/7045]	Time 0.377 (0.254)	Data 0.324 (0.183)	Loss 5.0400 (5.0213)	Prec@1 6.250 (4.512)	Prec@5 18.359 (15.639)
Epoch: [1][3990/7045]	Time 0.102 (0.254)	Data 0.001 (0.183)	Loss 5.0355 (5.0214)	Prec@1 4.297 (4.511)	Prec@5 16.406 (15.636)
Epoch: [1][4000/7045]	Time 0.280 (0.254)	Data 0.229 (0.183)	Loss 5.0220 (5.0215)	Prec@1 3.906 (4.509)	Prec@5 17.578 (15.635)
Epoch: [1][4010/7045]	Time 0.381 (0.254)	Data 0.331 (0.183)	Loss 5.0973 (5.0215)	Prec@1 3.516 (4.507)	Prec@5 15.234 (15.631)
Epoch: [1][4020/7045]	Time 0.102 (0.254)	Data 0.004 (0.183)	Loss 5.0143 (5.0215)	Prec@1 4.688 (4.506)	Prec@5 12.500 (15.630)
Epoch: [1][4030/7045]	Time 0.105 (0.254)	Data 0.001 (0.183)	Loss 4.8773 (5.0216)	Prec@1 5.078 (4.505)	Prec@5 19.141 (15.628)
Epoch: [1][4040/7045]	Time 0.217 (0.254)	Data 0.166 (0.183)	Loss 5.0744 (5.0217)	Prec@1 5.859 (4.506)	Prec@5 14.844 (15.624)
Epoch: [1][4050/7045]	Time 0.101 (0.254)	Data 0.020 (0.183)	Loss 4.9470 (5.0218)	Prec@1 5.078 (4.505)	Prec@5 16.016 (15.622)
Epoch: [1][4060/7045]	Time 0.606 (0.254)	Data 0.555 (0.183)	Loss 5.1107 (5.0221)	Prec@1 4.688 (4.505)	Prec@5 15.234 (15.617)
Epoch: [1][4070/7045]	Time 0.102 (0.254)	Data 0.001 (0.183)	Loss 5.0117 (5.0222)	Prec@1 2.734 (4.504)	Prec@5 13.281 (15.615)
Epoch: [1][4080/7045]	Time 0.301 (0.254)	Data 0.249 (0.183)	Loss 4.8826 (5.0222)	Prec@1 8.203 (4.503)	Prec@5 23.438 (15.613)
Epoch: [1][4090/7045]	Time 0.102 (0.254)	Data 0.049 (0.183)	Loss 4.9413 (5.0223)	Prec@1 5.859 (4.503)	Prec@5 16.406 (15.612)
Epoch: [1][4100/7045]	Time 0.250 (0.254)	Data 0.189 (0.183)	Loss 5.0139 (5.0223)	Prec@1 5.469 (4.501)	Prec@5 15.625 (15.610)
Epoch: [1][4110/7045]	Time 0.154 (0.254)	Data 0.102 (0.183)	Loss 4.8561 (5.0223)	Prec@1 7.031 (4.500)	Prec@5 23.047 (15.611)
Epoch: [1][4120/7045]	Time 0.101 (0.254)	Data 0.001 (0.183)	Loss 5.0257 (5.0223)	Prec@1 4.688 (4.500)	Prec@5 16.797 (15.610)
Epoch: [1][4130/7045]	Time 0.154 (0.254)	Data 0.103 (0.183)	Loss 5.0907 (5.0222)	Prec@1 3.906 (4.502)	Prec@5 15.234 (15.613)
Epoch: [1][4140/7045]	Time 0.101 (0.254)	Data 0.044 (0.183)	Loss 4.9764 (5.0222)	Prec@1 3.125 (4.502)	Prec@5 14.844 (15.611)
Epoch: [1][4150/7045]	Time 0.295 (0.254)	Data 0.244 (0.183)	Loss 4.9480 (5.0223)	Prec@1 5.469 (4.501)	Prec@5 16.797 (15.609)
Epoch: [1][4160/7045]	Time 0.103 (0.253)	Data 0.001 (0.183)	Loss 4.9997 (5.0224)	Prec@1 5.078 (4.498)	Prec@5 18.359 (15.606)
Epoch: [1][4170/7045]	Time 0.467 (0.254)	Data 0.410 (0.183)	Loss 5.0654 (5.0226)	Prec@1 4.297 (4.497)	Prec@5 17.578 (15.603)
Epoch: [1][4180/7045]	Time 0.266 (0.253)	Data 0.215 (0.183)	Loss 4.8988 (5.0227)	Prec@1 7.031 (4.497)	Prec@5 17.969 (15.603)
Epoch: [1][4190/7045]	Time 0.406 (0.253)	Data 0.357 (0.183)	Loss 5.0231 (5.0228)	Prec@1 3.906 (4.498)	Prec@5 11.719 (15.600)
Epoch: [1][4200/7045]	Time 0.108 (0.253)	Data 0.057 (0.183)	Loss 5.0273 (5.0230)	Prec@1 4.688 (4.496)	Prec@5 16.797 (15.597)
Epoch: [1][4210/7045]	Time 0.352 (0.253)	Data 0.301 (0.183)	Loss 4.9690 (5.0230)	Prec@1 2.344 (4.495)	Prec@5 13.672 (15.595)
Epoch: [1][4220/7045]	Time 0.101 (0.253)	Data 0.006 (0.183)	Loss 5.0751 (5.0232)	Prec@1 3.125 (4.495)	Prec@5 13.281 (15.593)
Epoch: [1][4230/7045]	Time 0.260 (0.253)	Data 0.202 (0.183)	Loss 5.1617 (5.0232)	Prec@1 5.859 (4.495)	Prec@5 12.891 (15.590)
Epoch: [1][4240/7045]	Time 0.118 (0.253)	Data 0.065 (0.183)	Loss 5.0599 (5.0233)	Prec@1 3.906 (4.495)	Prec@5 13.672 (15.590)
Epoch: [1][4250/7045]	Time 0.421 (0.253)	Data 0.370 (0.183)	Loss 5.1808 (5.0234)	Prec@1 5.859 (4.496)	Prec@5 14.844 (15.588)
Epoch: [1][4260/7045]	Time 0.102 (0.253)	Data 0.015 (0.183)	Loss 5.0723 (5.0235)	Prec@1 3.125 (4.494)	Prec@5 12.109 (15.585)
Epoch: [1][4270/7045]	Time 0.368 (0.253)	Data 0.316 (0.183)	Loss 5.1941 (5.0237)	Prec@1 3.125 (4.492)	Prec@5 15.625 (15.581)
Epoch: [1][4280/7045]	Time 0.419 (0.253)	Data 0.370 (0.183)	Loss 5.1883 (5.0240)	Prec@1 4.688 (4.490)	Prec@5 10.938 (15.576)
Epoch: [1][4290/7045]	Time 0.112 (0.253)	Data 0.001 (0.183)	Loss 5.0556 (5.0242)	Prec@1 4.297 (4.488)	Prec@5 13.281 (15.570)
Epoch: [1][4300/7045]	Time 0.106 (0.253)	Data 0.053 (0.183)	Loss 5.0339 (5.0243)	Prec@1 3.125 (4.487)	Prec@5 16.016 (15.568)
Epoch: [1][4310/7045]	Time 0.169 (0.253)	Data 0.117 (0.183)	Loss 5.1634 (5.0243)	Prec@1 5.859 (4.489)	Prec@5 16.016 (15.571)
Epoch: [1][4320/7045]	Time 0.250 (0.253)	Data 0.198 (0.183)	Loss 5.0035 (5.0243)	Prec@1 5.859 (4.487)	Prec@5 19.531 (15.571)
Epoch: [1][4330/7045]	Time 0.105 (0.253)	Data 0.053 (0.183)	Loss 5.0650 (5.0243)	Prec@1 5.078 (4.487)	Prec@5 14.062 (15.568)
Epoch: [1][4340/7045]	Time 0.569 (0.253)	Data 0.517 (0.183)	Loss 4.9848 (5.0243)	Prec@1 4.688 (4.487)	Prec@5 15.625 (15.567)
Epoch: [1][4350/7045]	Time 0.111 (0.253)	Data 0.001 (0.183)	Loss 4.8032 (5.0244)	Prec@1 6.641 (4.487)	Prec@5 18.359 (15.565)
Epoch: [1][4360/7045]	Time 0.536 (0.253)	Data 0.485 (0.183)	Loss 5.2427 (5.0245)	Prec@1 1.172 (4.486)	Prec@5 12.891 (15.565)
Epoch: [1][4370/7045]	Time 0.101 (0.253)	Data 0.049 (0.183)	Loss 4.9087 (5.0246)	Prec@1 5.078 (4.486)	Prec@5 17.578 (15.564)
Epoch: [1][4380/7045]	Time 0.353 (0.253)	Data 0.301 (0.183)	Loss 5.1818 (5.0246)	Prec@1 2.344 (4.485)	Prec@5 14.453 (15.562)
Epoch: [1][4390/7045]	Time 0.103 (0.253)	Data 0.001 (0.183)	Loss 4.9002 (5.0246)	Prec@1 5.469 (4.486)	Prec@5 18.359 (15.564)
Epoch: [1][4400/7045]	Time 0.150 (0.253)	Data 0.093 (0.183)	Loss 4.9665 (5.0245)	Prec@1 4.688 (4.488)	Prec@5 17.578 (15.567)
Epoch: [1][4410/7045]	Time 0.101 (0.253)	Data 0.001 (0.183)	Loss 4.8248 (5.0245)	Prec@1 3.516 (4.486)	Prec@5 20.703 (15.566)
Epoch: [1][4420/7045]	Time 0.101 (0.253)	Data 0.001 (0.183)	Loss 4.9809 (5.0246)	Prec@1 5.469 (4.487)	Prec@5 17.188 (15.565)
Epoch: [1][4430/7045]	Time 0.101 (0.253)	Data 0.001 (0.183)	Loss 5.0664 (5.0246)	Prec@1 2.344 (4.487)	Prec@5 15.625 (15.566)
Epoch: [1][4440/7045]	Time 0.114 (0.253)	Data 0.056 (0.183)	Loss 5.0421 (5.0245)	Prec@1 3.906 (4.486)	Prec@5 12.891 (15.565)
Epoch: [1][4450/7045]	Time 0.466 (0.253)	Data 0.415 (0.183)	Loss 5.1106 (5.0245)	Prec@1 3.906 (4.488)	Prec@5 12.891 (15.564)
Epoch: [1][4460/7045]	Time 0.101 (0.253)	Data 0.001 (0.183)	Loss 5.0486 (5.0245)	Prec@1 4.688 (4.488)	Prec@5 14.453 (15.561)
Epoch: [1][4470/7045]	Time 0.541 (0.253)	Data 0.489 (0.183)	Loss 5.0763 (5.0246)	Prec@1 5.078 (4.487)	Prec@5 15.625 (15.561)
Epoch: [1][4480/7045]	Time 0.224 (0.253)	Data 0.173 (0.183)	Loss 5.0511 (5.0246)	Prec@1 3.516 (4.487)	Prec@5 17.969 (15.563)
Epoch: [1][4490/7045]	Time 0.188 (0.253)	Data 0.137 (0.183)	Loss 5.0045 (5.0247)	Prec@1 4.688 (4.486)	Prec@5 15.625 (15.559)
Epoch: [1][4500/7045]	Time 0.135 (0.253)	Data 0.085 (0.183)	Loss 5.1933 (5.0249)	Prec@1 3.906 (4.484)	Prec@5 11.719 (15.556)
Epoch: [1][4510/7045]	Time 0.263 (0.253)	Data 0.212 (0.183)	Loss 5.1769 (5.0250)	Prec@1 4.688 (4.484)	Prec@5 14.062 (15.556)
Epoch: [1][4520/7045]	Time 0.102 (0.253)	Data 0.001 (0.183)	Loss 5.0633 (5.0251)	Prec@1 3.906 (4.484)	Prec@5 12.500 (15.553)
Epoch: [1][4530/7045]	Time 0.259 (0.253)	Data 0.208 (0.183)	Loss 5.0547 (5.0252)	Prec@1 4.688 (4.484)	Prec@5 15.234 (15.553)
Epoch: [1][4540/7045]	Time 0.323 (0.253)	Data 0.272 (0.183)	Loss 4.9773 (5.0253)	Prec@1 4.688 (4.483)	Prec@5 14.062 (15.553)
Epoch: [1][4550/7045]	Time 0.232 (0.253)	Data 0.171 (0.183)	Loss 5.0482 (5.0255)	Prec@1 3.125 (4.481)	Prec@5 13.672 (15.548)
Epoch: [1][4560/7045]	Time 0.709 (0.253)	Data 0.656 (0.183)	Loss 5.1355 (5.0256)	Prec@1 4.297 (4.480)	Prec@5 13.281 (15.546)
Epoch: [1][4570/7045]	Time 0.242 (0.253)	Data 0.192 (0.183)	Loss 5.1005 (5.0258)	Prec@1 5.078 (4.479)	Prec@5 14.844 (15.544)
Epoch: [1][4580/7045]	Time 0.195 (0.253)	Data 0.144 (0.183)	Loss 5.0871 (5.0258)	Prec@1 3.906 (4.479)	Prec@5 13.281 (15.544)
Epoch: [1][4590/7045]	Time 0.102 (0.253)	Data 0.050 (0.183)	Loss 5.2789 (5.0260)	Prec@1 5.469 (4.479)	Prec@5 12.109 (15.542)
Epoch: [1][4600/7045]	Time 0.102 (0.253)	Data 0.001 (0.183)	Loss 5.0020 (5.0261)	Prec@1 5.859 (4.479)	Prec@5 19.141 (15.542)
Epoch: [1][4610/7045]	Time 0.101 (0.253)	Data 0.001 (0.183)	Loss 5.1537 (5.0261)	Prec@1 3.516 (4.479)	Prec@5 14.844 (15.544)
Epoch: [1][4620/7045]	Time 0.484 (0.253)	Data 0.429 (0.183)	Loss 4.9415 (5.0261)	Prec@1 8.984 (4.480)	Prec@5 19.531 (15.545)
Epoch: [1][4630/7045]	Time 0.401 (0.253)	Data 0.351 (0.183)	Loss 5.0032 (5.0262)	Prec@1 3.906 (4.479)	Prec@5 13.281 (15.542)
Epoch: [1][4640/7045]	Time 0.215 (0.253)	Data 0.156 (0.183)	Loss 5.0774 (5.0263)	Prec@1 4.297 (4.478)	Prec@5 13.672 (15.541)
Epoch: [1][4650/7045]	Time 0.223 (0.253)	Data 0.172 (0.183)	Loss 5.0103 (5.0264)	Prec@1 3.516 (4.477)	Prec@5 18.359 (15.538)
Epoch: [1][4660/7045]	Time 0.171 (0.253)	Data 0.120 (0.183)	Loss 5.0544 (5.0266)	Prec@1 3.906 (4.476)	Prec@5 14.844 (15.536)
Epoch: [1][4670/7045]	Time 0.201 (0.253)	Data 0.150 (0.183)	Loss 5.2514 (5.0267)	Prec@1 3.516 (4.476)	Prec@5 11.719 (15.533)
Epoch: [1][4680/7045]	Time 0.145 (0.253)	Data 0.094 (0.183)	Loss 4.9222 (5.0268)	Prec@1 6.641 (4.476)	Prec@5 17.969 (15.533)
Epoch: [1][4690/7045]	Time 0.600 (0.253)	Data 0.548 (0.183)	Loss 5.0132 (5.0268)	Prec@1 4.688 (4.476)	Prec@5 15.625 (15.531)
Epoch: [1][4700/7045]	Time 0.232 (0.253)	Data 0.181 (0.183)	Loss 4.9012 (5.0268)	Prec@1 6.641 (4.476)	Prec@5 19.922 (15.529)
Epoch: [1][4710/7045]	Time 0.349 (0.253)	Data 0.299 (0.183)	Loss 5.0291 (5.0269)	Prec@1 5.469 (4.474)	Prec@5 17.188 (15.525)
Epoch: [1][4720/7045]	Time 0.273 (0.253)	Data 0.223 (0.183)	Loss 5.0401 (5.0270)	Prec@1 5.469 (4.474)	Prec@5 13.281 (15.523)
Epoch: [1][4730/7045]	Time 0.343 (0.253)	Data 0.291 (0.183)	Loss 5.2072 (5.0271)	Prec@1 2.344 (4.471)	Prec@5 12.500 (15.520)
Epoch: [1][4740/7045]	Time 0.335 (0.253)	Data 0.284 (0.183)	Loss 5.0574 (5.0273)	Prec@1 5.859 (4.469)	Prec@5 16.797 (15.516)
Epoch: [1][4750/7045]	Time 0.107 (0.253)	Data 0.001 (0.183)	Loss 5.0981 (5.0274)	Prec@1 4.688 (4.469)	Prec@5 13.672 (15.515)
Epoch: [1][4760/7045]	Time 0.631 (0.253)	Data 0.574 (0.183)	Loss 5.1017 (5.0275)	Prec@1 7.422 (4.469)	Prec@5 16.016 (15.514)
Epoch: [1][4770/7045]	Time 0.111 (0.253)	Data 0.060 (0.183)	Loss 5.1067 (5.0277)	Prec@1 3.516 (4.468)	Prec@5 13.281 (15.511)
Epoch: [1][4780/7045]	Time 0.515 (0.253)	Data 0.463 (0.183)	Loss 5.1616 (5.0279)	Prec@1 3.906 (4.467)	Prec@5 14.062 (15.508)
Epoch: [1][4790/7045]	Time 0.112 (0.253)	Data 0.060 (0.183)	Loss 5.2180 (5.0280)	Prec@1 3.516 (4.466)	Prec@5 10.547 (15.506)
Epoch: [1][4800/7045]	Time 0.163 (0.253)	Data 0.113 (0.183)	Loss 5.0103 (5.0280)	Prec@1 4.297 (4.465)	Prec@5 16.016 (15.506)
Epoch: [1][4810/7045]	Time 0.289 (0.253)	Data 0.238 (0.183)	Loss 5.1002 (5.0281)	Prec@1 5.078 (4.464)	Prec@5 13.281 (15.503)
Epoch: [1][4820/7045]	Time 0.275 (0.253)	Data 0.216 (0.183)	Loss 5.1505 (5.0282)	Prec@1 4.297 (4.463)	Prec@5 11.328 (15.500)
Epoch: [1][4830/7045]	Time 0.225 (0.253)	Data 0.173 (0.183)	Loss 5.0433 (5.0283)	Prec@1 5.859 (4.463)	Prec@5 16.797 (15.500)
Epoch: [1][4840/7045]	Time 0.237 (0.253)	Data 0.187 (0.183)	Loss 5.1207 (5.0284)	Prec@1 6.641 (4.463)	Prec@5 15.234 (15.500)
Epoch: [1][4850/7045]	Time 0.240 (0.253)	Data 0.189 (0.183)	Loss 5.0268 (5.0285)	Prec@1 5.469 (4.463)	Prec@5 19.531 (15.498)
Epoch: [1][4860/7045]	Time 0.103 (0.253)	Data 0.001 (0.183)	Loss 5.1350 (5.0286)	Prec@1 5.859 (4.461)	Prec@5 13.281 (15.497)
Epoch: [1][4870/7045]	Time 0.228 (0.253)	Data 0.178 (0.183)	Loss 5.1307 (5.0286)	Prec@1 5.078 (4.461)	Prec@5 13.672 (15.495)
Epoch: [1][4880/7045]	Time 0.276 (0.253)	Data 0.225 (0.183)	Loss 5.1741 (5.0288)	Prec@1 3.125 (4.462)	Prec@5 18.750 (15.495)
Epoch: [1][4890/7045]	Time 0.122 (0.253)	Data 0.070 (0.183)	Loss 5.1047 (5.0289)	Prec@1 3.516 (4.460)	Prec@5 14.062 (15.494)
Epoch: [1][4900/7045]	Time 0.190 (0.253)	Data 0.139 (0.183)	Loss 5.0356 (5.0290)	Prec@1 4.688 (4.460)	Prec@5 15.625 (15.492)
Epoch: [1][4910/7045]	Time 0.109 (0.253)	Data 0.057 (0.183)	Loss 5.0179 (5.0291)	Prec@1 5.078 (4.459)	Prec@5 15.625 (15.488)
Epoch: [1][4920/7045]	Time 0.633 (0.253)	Data 0.582 (0.183)	Loss 5.0473 (5.0293)	Prec@1 4.297 (4.457)	Prec@5 19.141 (15.485)
Epoch: [1][4930/7045]	Time 0.110 (0.253)	Data 0.001 (0.183)	Loss 5.0490 (5.0294)	Prec@1 3.516 (4.456)	Prec@5 12.109 (15.483)
Epoch: [1][4940/7045]	Time 0.515 (0.253)	Data 0.459 (0.183)	Loss 5.2622 (5.0296)	Prec@1 3.516 (4.454)	Prec@5 9.766 (15.479)
Epoch: [1][4950/7045]	Time 0.429 (0.253)	Data 0.378 (0.183)	Loss 5.0871 (5.0297)	Prec@1 7.422 (4.455)	Prec@5 14.844 (15.477)
Epoch: [1][4960/7045]	Time 0.224 (0.252)	Data 0.174 (0.183)	Loss 5.0870 (5.0298)	Prec@1 5.469 (4.455)	Prec@5 14.844 (15.477)
Epoch: [1][4970/7045]	Time 0.280 (0.253)	Data 0.229 (0.183)	Loss 4.9615 (5.0299)	Prec@1 3.906 (4.454)	Prec@5 17.188 (15.474)
Epoch: [1][4980/7045]	Time 0.348 (0.253)	Data 0.297 (0.183)	Loss 5.0930 (5.0300)	Prec@1 5.078 (4.454)	Prec@5 16.406 (15.475)
Epoch: [1][4990/7045]	Time 0.111 (0.252)	Data 0.001 (0.183)	Loss 5.1895 (5.0304)	Prec@1 3.906 (4.452)	Prec@5 14.453 (15.468)
Epoch: [1][5000/7045]	Time 0.144 (0.252)	Data 0.093 (0.183)	Loss 5.2518 (5.0307)	Prec@1 4.297 (4.451)	Prec@5 10.156 (15.464)
Epoch: [1][5010/7045]	Time 0.243 (0.252)	Data 0.192 (0.183)	Loss 5.1409 (5.0309)	Prec@1 3.125 (4.449)	Prec@5 10.938 (15.458)
Epoch: [1][5020/7045]	Time 0.207 (0.252)	Data 0.154 (0.183)	Loss 5.1831 (5.0311)	Prec@1 3.516 (4.447)	Prec@5 14.062 (15.457)
Epoch: [1][5030/7045]	Time 0.416 (0.252)	Data 0.364 (0.183)	Loss 5.2038 (5.0313)	Prec@1 2.734 (4.447)	Prec@5 10.547 (15.454)
Epoch: [1][5040/7045]	Time 0.101 (0.252)	Data 0.044 (0.183)	Loss 4.9961 (5.0314)	Prec@1 3.125 (4.446)	Prec@5 13.672 (15.452)
Epoch: [1][5050/7045]	Time 0.108 (0.252)	Data 0.001 (0.183)	Loss 5.0102 (5.0315)	Prec@1 5.078 (4.445)	Prec@5 18.359 (15.447)
Epoch: [1][5060/7045]	Time 0.102 (0.252)	Data 0.001 (0.183)	Loss 5.0005 (5.0316)	Prec@1 3.516 (4.445)	Prec@5 14.062 (15.445)
Epoch: [1][5070/7045]	Time 0.122 (0.252)	Data 0.071 (0.183)	Loss 5.2036 (5.0317)	Prec@1 2.734 (4.443)	Prec@5 13.281 (15.441)
Epoch: [1][5080/7045]	Time 0.142 (0.252)	Data 0.092 (0.183)	Loss 5.1347 (5.0318)	Prec@1 1.562 (4.443)	Prec@5 14.844 (15.440)
Epoch: [1][5090/7045]	Time 0.102 (0.252)	Data 0.045 (0.183)	Loss 5.1395 (5.0318)	Prec@1 3.516 (4.442)	Prec@5 11.719 (15.437)
Epoch: [1][5100/7045]	Time 0.568 (0.252)	Data 0.517 (0.183)	Loss 5.0678 (5.0319)	Prec@1 4.297 (4.441)	Prec@5 13.672 (15.433)
Epoch: [1][5110/7045]	Time 0.101 (0.252)	Data 0.001 (0.183)	Loss 5.0638 (5.0319)	Prec@1 1.953 (4.440)	Prec@5 11.328 (15.430)
Epoch: [1][5120/7045]	Time 0.637 (0.252)	Data 0.583 (0.183)	Loss 5.0237 (5.0320)	Prec@1 5.469 (4.440)	Prec@5 11.328 (15.427)
Epoch: [1][5130/7045]	Time 0.130 (0.252)	Data 0.079 (0.183)	Loss 5.0917 (5.0321)	Prec@1 1.562 (4.438)	Prec@5 13.281 (15.423)
Epoch: [1][5140/7045]	Time 0.129 (0.252)	Data 0.078 (0.183)	Loss 4.9292 (5.0322)	Prec@1 6.641 (4.438)	Prec@5 20.312 (15.423)
Epoch: [1][5150/7045]	Time 0.102 (0.252)	Data 0.001 (0.183)	Loss 5.0633 (5.0323)	Prec@1 4.688 (4.438)	Prec@5 14.062 (15.421)
Epoch: [1][5160/7045]	Time 0.107 (0.252)	Data 0.003 (0.183)	Loss 5.1600 (5.0324)	Prec@1 4.297 (4.437)	Prec@5 12.891 (15.420)
Epoch: [1][5170/7045]	Time 0.212 (0.252)	Data 0.160 (0.183)	Loss 5.1839 (5.0324)	Prec@1 1.953 (4.436)	Prec@5 11.719 (15.420)
Epoch: [1][5180/7045]	Time 0.100 (0.252)	Data 0.045 (0.183)	Loss 5.1168 (5.0324)	Prec@1 2.344 (4.435)	Prec@5 12.891 (15.418)
Epoch: [1][5190/7045]	Time 0.550 (0.252)	Data 0.499 (0.183)	Loss 4.9894 (5.0323)	Prec@1 4.297 (4.436)	Prec@5 18.750 (15.419)
Epoch: [1][5200/7045]	Time 0.102 (0.252)	Data 0.050 (0.183)	Loss 5.1344 (5.0323)	Prec@1 3.516 (4.435)	Prec@5 15.234 (15.415)
Epoch: [1][5210/7045]	Time 0.360 (0.252)	Data 0.301 (0.183)	Loss 5.2224 (5.0323)	Prec@1 3.125 (4.435)	Prec@5 8.984 (15.413)
Epoch: [1][5220/7045]	Time 0.102 (0.252)	Data 0.003 (0.183)	Loss 5.2429 (5.0324)	Prec@1 2.734 (4.434)	Prec@5 11.328 (15.413)
Epoch: [1][5230/7045]	Time 0.111 (0.252)	Data 0.001 (0.183)	Loss 4.9519 (5.0324)	Prec@1 5.078 (4.433)	Prec@5 16.797 (15.412)
Epoch: [1][5240/7045]	Time 0.518 (0.252)	Data 0.467 (0.183)	Loss 4.9499 (5.0325)	Prec@1 3.125 (4.433)	Prec@5 16.016 (15.411)
Epoch: [1][5250/7045]	Time 0.102 (0.252)	Data 0.001 (0.183)	Loss 5.1719 (5.0326)	Prec@1 3.906 (4.432)	Prec@5 13.672 (15.409)
Epoch: [1][5260/7045]	Time 0.501 (0.252)	Data 0.444 (0.183)	Loss 4.8987 (5.0326)	Prec@1 7.422 (4.432)	Prec@5 17.969 (15.408)
Epoch: [1][5270/7045]	Time 0.102 (0.252)	Data 0.001 (0.183)	Loss 5.1856 (5.0327)	Prec@1 1.953 (4.431)	Prec@5 13.672 (15.407)
Epoch: [1][5280/7045]	Time 0.114 (0.252)	Data 0.061 (0.183)	Loss 5.0674 (5.0328)	Prec@1 3.906 (4.431)	Prec@5 14.844 (15.406)
Epoch: [1][5290/7045]	Time 0.251 (0.252)	Data 0.200 (0.183)	Loss 5.1221 (5.0330)	Prec@1 4.297 (4.429)	Prec@5 12.891 (15.403)
Epoch: [1][5300/7045]	Time 0.101 (0.252)	Data 0.045 (0.183)	Loss 5.1097 (5.0330)	Prec@1 1.172 (4.428)	Prec@5 9.375 (15.402)
Epoch: [1][5310/7045]	Time 0.104 (0.252)	Data 0.046 (0.183)	Loss 5.1448 (5.0331)	Prec@1 5.469 (4.426)	Prec@5 17.578 (15.398)
Epoch: [1][5320/7045]	Time 0.102 (0.252)	Data 0.001 (0.183)	Loss 5.2028 (5.0334)	Prec@1 3.906 (4.426)	Prec@5 11.719 (15.394)
Epoch: [1][5330/7045]	Time 0.108 (0.252)	Data 0.014 (0.183)	Loss 5.0234 (5.0335)	Prec@1 3.906 (4.426)	Prec@5 19.531 (15.394)
Epoch: [1][5340/7045]	Time 0.102 (0.252)	Data 0.001 (0.183)	Loss 5.1245 (5.0336)	Prec@1 3.125 (4.424)	Prec@5 11.719 (15.391)
Epoch: [1][5350/7045]	Time 0.147 (0.252)	Data 0.093 (0.183)	Loss 5.0667 (5.0337)	Prec@1 3.516 (4.423)	Prec@5 14.453 (15.390)
Epoch: [1][5360/7045]	Time 0.858 (0.252)	Data 0.806 (0.183)	Loss 5.0683 (5.0337)	Prec@1 5.078 (4.423)	Prec@5 16.797 (15.391)
Epoch: [1][5370/7045]	Time 0.113 (0.252)	Data 0.001 (0.183)	Loss 5.1017 (5.0338)	Prec@1 2.344 (4.422)	Prec@5 12.109 (15.389)
Epoch: [1][5380/7045]	Time 0.183 (0.252)	Data 0.133 (0.183)	Loss 5.0297 (5.0339)	Prec@1 4.297 (4.422)	Prec@5 15.234 (15.388)
Epoch: [1][5390/7045]	Time 0.104 (0.252)	Data 0.001 (0.183)	Loss 5.0766 (5.0339)	Prec@1 5.078 (4.424)	Prec@5 14.453 (15.390)
Epoch: [1][5400/7045]	Time 0.109 (0.252)	Data 0.003 (0.183)	Loss 5.1117 (5.0340)	Prec@1 3.906 (4.423)	Prec@5 15.625 (15.387)
Epoch: [1][5410/7045]	Time 0.282 (0.252)	Data 0.231 (0.183)	Loss 4.9817 (5.0340)	Prec@1 3.516 (4.424)	Prec@5 14.844 (15.386)
Epoch: [1][5420/7045]	Time 0.102 (0.252)	Data 0.009 (0.183)	Loss 5.0538 (5.0340)	Prec@1 4.297 (4.424)	Prec@5 16.016 (15.387)
Epoch: [1][5430/7045]	Time 0.668 (0.252)	Data 0.616 (0.183)	Loss 4.9059 (5.0341)	Prec@1 5.078 (4.423)	Prec@5 18.750 (15.384)
Epoch: [1][5440/7045]	Time 0.100 (0.252)	Data 0.001 (0.183)	Loss 5.1187 (5.0341)	Prec@1 4.688 (4.423)	Prec@5 12.891 (15.383)
Epoch: [1][5450/7045]	Time 0.133 (0.252)	Data 0.082 (0.183)	Loss 4.9611 (5.0342)	Prec@1 4.297 (4.422)	Prec@5 16.797 (15.380)
Epoch: [1][5460/7045]	Time 0.103 (0.252)	Data 0.001 (0.183)	Loss 5.0659 (5.0344)	Prec@1 3.125 (4.421)	Prec@5 16.016 (15.378)
Epoch: [1][5470/7045]	Time 0.170 (0.252)	Data 0.119 (0.183)	Loss 5.1416 (5.0345)	Prec@1 3.906 (4.420)	Prec@5 12.109 (15.376)
Epoch: [1][5480/7045]	Time 0.411 (0.252)	Data 0.359 (0.183)	Loss 5.0820 (5.0347)	Prec@1 2.344 (4.419)	Prec@5 15.625 (15.374)
Epoch: [1][5490/7045]	Time 0.102 (0.252)	Data 0.001 (0.183)	Loss 5.1424 (5.0348)	Prec@1 5.469 (4.418)	Prec@5 11.719 (15.371)
Epoch: [1][5500/7045]	Time 0.453 (0.252)	Data 0.401 (0.183)	Loss 5.0950 (5.0350)	Prec@1 5.469 (4.417)	Prec@5 13.281 (15.368)
Epoch: [1][5510/7045]	Time 0.102 (0.252)	Data 0.050 (0.183)	Loss 5.1021 (5.0350)	Prec@1 3.906 (4.416)	Prec@5 10.938 (15.366)
Epoch: [1][5520/7045]	Time 0.335 (0.252)	Data 0.278 (0.183)	Loss 5.0371 (5.0351)	Prec@1 5.469 (4.416)	Prec@5 14.844 (15.363)
Epoch: [1][5530/7045]	Time 0.102 (0.252)	Data 0.001 (0.183)	Loss 5.1465 (5.0352)	Prec@1 3.125 (4.415)	Prec@5 13.281 (15.361)
Epoch: [1][5540/7045]	Time 0.138 (0.252)	Data 0.080 (0.183)	Loss 5.0568 (5.0353)	Prec@1 5.469 (4.414)	Prec@5 13.672 (15.360)
Epoch: [1][5550/7045]	Time 0.525 (0.252)	Data 0.473 (0.183)	Loss 5.0556 (5.0352)	Prec@1 5.078 (4.413)	Prec@5 15.625 (15.361)
Epoch: [1][5560/7045]	Time 0.101 (0.252)	Data 0.001 (0.183)	Loss 5.1365 (5.0353)	Prec@1 4.688 (4.413)	Prec@5 14.062 (15.359)
Epoch: [1][5570/7045]	Time 0.664 (0.252)	Data 0.613 (0.183)	Loss 5.0999 (5.0353)	Prec@1 3.906 (4.411)	Prec@5 11.719 (15.359)
Epoch: [1][5580/7045]	Time 0.102 (0.252)	Data 0.048 (0.183)	Loss 5.1423 (5.0354)	Prec@1 3.125 (4.411)	Prec@5 11.328 (15.356)
Epoch: [1][5590/7045]	Time 0.106 (0.252)	Data 0.006 (0.183)	Loss 5.2407 (5.0355)	Prec@1 3.516 (4.410)	Prec@5 12.891 (15.353)
Epoch: [1][5600/7045]	Time 0.236 (0.252)	Data 0.185 (0.183)	Loss 5.1283 (5.0358)	Prec@1 3.125 (4.410)	Prec@5 12.109 (15.349)
Epoch: [1][5610/7045]	Time 0.107 (0.252)	Data 0.004 (0.183)	Loss 5.2519 (5.0359)	Prec@1 3.125 (4.408)	Prec@5 13.672 (15.348)
Epoch: [1][5620/7045]	Time 0.301 (0.252)	Data 0.250 (0.183)	Loss 5.0827 (5.0360)	Prec@1 7.031 (4.407)	Prec@5 15.234 (15.347)
Epoch: [1][5630/7045]	Time 0.110 (0.252)	Data 0.059 (0.183)	Loss 5.0775 (5.0360)	Prec@1 3.906 (4.407)	Prec@5 15.234 (15.346)
Epoch: [1][5640/7045]	Time 0.721 (0.252)	Data 0.670 (0.183)	Loss 5.2368 (5.0362)	Prec@1 5.469 (4.407)	Prec@5 14.453 (15.345)
Epoch: [1][5650/7045]	Time 0.102 (0.252)	Data 0.006 (0.183)	Loss 4.9206 (5.0362)	Prec@1 6.250 (4.407)	Prec@5 16.406 (15.344)
Epoch: [1][5660/7045]	Time 0.349 (0.252)	Data 0.298 (0.183)	Loss 5.0456 (5.0364)	Prec@1 5.078 (4.405)	Prec@5 16.406 (15.341)
Epoch: [1][5670/7045]	Time 0.101 (0.252)	Data 0.001 (0.183)	Loss 5.1256 (5.0364)	Prec@1 3.516 (4.406)	Prec@5 14.062 (15.341)
Epoch: [1][5680/7045]	Time 0.101 (0.252)	Data 0.001 (0.183)	Loss 5.0265 (5.0366)	Prec@1 3.516 (4.404)	Prec@5 17.578 (15.340)
Epoch: [1][5690/7045]	Time 0.109 (0.252)	Data 0.058 (0.183)	Loss 5.3653 (5.0368)	Prec@1 4.297 (4.403)	Prec@5 10.938 (15.338)
Epoch: [1][5700/7045]	Time 0.110 (0.252)	Data 0.001 (0.183)	Loss 5.0752 (5.0368)	Prec@1 4.297 (4.403)	Prec@5 11.719 (15.336)
Epoch: [1][5710/7045]	Time 0.734 (0.252)	Data 0.683 (0.183)	Loss 5.0864 (5.0368)	Prec@1 3.516 (4.403)	Prec@5 14.844 (15.335)
Epoch: [1][5720/7045]	Time 0.105 (0.252)	Data 0.053 (0.183)	Loss 5.0586 (5.0369)	Prec@1 4.297 (4.403)	Prec@5 15.234 (15.335)
Epoch: [1][5730/7045]	Time 0.364 (0.252)	Data 0.312 (0.183)	Loss 5.0233 (5.0369)	Prec@1 7.812 (4.404)	Prec@5 18.750 (15.336)
Epoch: [1][5740/7045]	Time 0.495 (0.252)	Data 0.444 (0.183)	Loss 5.1635 (5.0369)	Prec@1 1.562 (4.403)	Prec@5 10.156 (15.334)
Epoch: [1][5750/7045]	Time 0.103 (0.252)	Data 0.051 (0.183)	Loss 5.0632 (5.0370)	Prec@1 3.906 (4.402)	Prec@5 14.844 (15.332)
Epoch: [1][5760/7045]	Time 0.678 (0.252)	Data 0.619 (0.183)	Loss 4.9020 (5.0370)	Prec@1 3.906 (4.401)	Prec@5 17.969 (15.329)
Epoch: [1][5770/7045]	Time 0.101 (0.252)	Data 0.001 (0.183)	Loss 4.9707 (5.0369)	Prec@1 5.469 (4.402)	Prec@5 16.797 (15.332)
Epoch: [1][5780/7045]	Time 0.644 (0.252)	Data 0.593 (0.183)	Loss 5.0352 (5.0368)	Prec@1 4.688 (4.402)	Prec@5 18.359 (15.333)
Epoch: [1][5790/7045]	Time 0.110 (0.252)	Data 0.001 (0.183)	Loss 5.0871 (5.0368)	Prec@1 1.953 (4.400)	Prec@5 12.109 (15.332)
Epoch: [1][5800/7045]	Time 0.371 (0.252)	Data 0.314 (0.183)	Loss 5.0663 (5.0368)	Prec@1 4.688 (4.400)	Prec@5 12.109 (15.334)
Epoch: [1][5810/7045]	Time 0.245 (0.252)	Data 0.194 (0.183)	Loss 5.1806 (5.0369)	Prec@1 3.516 (4.399)	Prec@5 16.016 (15.336)
Epoch: [1][5820/7045]	Time 0.311 (0.252)	Data 0.261 (0.183)	Loss 5.1196 (5.0370)	Prec@1 5.859 (4.400)	Prec@5 16.406 (15.334)
Epoch: [1][5830/7045]	Time 0.394 (0.252)	Data 0.343 (0.183)	Loss 5.0596 (5.0372)	Prec@1 6.250 (4.399)	Prec@5 17.578 (15.332)
Epoch: [1][5840/7045]	Time 0.110 (0.252)	Data 0.006 (0.183)	Loss 5.1074 (5.0373)	Prec@1 3.125 (4.398)	Prec@5 14.453 (15.331)
Epoch: [1][5850/7045]	Time 0.103 (0.252)	Data 0.001 (0.183)	Loss 5.1599 (5.0373)	Prec@1 1.172 (4.397)	Prec@5 13.281 (15.329)
Epoch: [1][5860/7045]	Time 0.147 (0.252)	Data 0.095 (0.183)	Loss 5.0496 (5.0372)	Prec@1 6.641 (4.398)	Prec@5 14.453 (15.330)
Epoch: [1][5870/7045]	Time 0.647 (0.252)	Data 0.596 (0.183)	Loss 5.0018 (5.0372)	Prec@1 3.125 (4.399)	Prec@5 13.672 (15.331)
Epoch: [1][5880/7045]	Time 0.197 (0.252)	Data 0.144 (0.183)	Loss 5.1685 (5.0373)	Prec@1 4.688 (4.399)	Prec@5 12.109 (15.332)
Epoch: [1][5890/7045]	Time 0.375 (0.252)	Data 0.323 (0.183)	Loss 5.1035 (5.0373)	Prec@1 3.125 (4.398)	Prec@5 14.453 (15.331)
Epoch: [1][5900/7045]	Time 0.101 (0.252)	Data 0.001 (0.183)	Loss 5.1818 (5.0374)	Prec@1 3.906 (4.396)	Prec@5 16.406 (15.330)
Epoch: [1][5910/7045]	Time 0.583 (0.252)	Data 0.525 (0.183)	Loss 5.0130 (5.0374)	Prec@1 4.688 (4.395)	Prec@5 17.578 (15.329)
Epoch: [1][5920/7045]	Time 0.353 (0.252)	Data 0.302 (0.183)	Loss 4.9703 (5.0375)	Prec@1 3.906 (4.395)	Prec@5 14.062 (15.327)
Epoch: [1][5930/7045]	Time 0.244 (0.252)	Data 0.193 (0.183)	Loss 5.1510 (5.0377)	Prec@1 3.516 (4.394)	Prec@5 10.938 (15.323)
Epoch: [1][5940/7045]	Time 0.134 (0.252)	Data 0.084 (0.183)	Loss 5.2430 (5.0380)	Prec@1 3.125 (4.393)	Prec@5 10.156 (15.318)
Epoch: [1][5950/7045]	Time 0.102 (0.252)	Data 0.047 (0.183)	Loss 5.1852 (5.0382)	Prec@1 4.297 (4.392)	Prec@5 14.844 (15.315)
Epoch: [1][5960/7045]	Time 0.102 (0.252)	Data 0.001 (0.183)	Loss 5.0656 (5.0382)	Prec@1 3.125 (4.392)	Prec@5 17.578 (15.316)
Epoch: [1][5970/7045]	Time 0.109 (0.252)	Data 0.001 (0.183)	Loss 5.0395 (5.0383)	Prec@1 3.516 (4.392)	Prec@5 18.750 (15.315)
Epoch: [1][5980/7045]	Time 0.102 (0.252)	Data 0.001 (0.183)	Loss 5.0746 (5.0383)	Prec@1 5.078 (4.392)	Prec@5 14.453 (15.314)
Epoch: [1][5990/7045]	Time 0.109 (0.252)	Data 0.007 (0.183)	Loss 5.0785 (5.0383)	Prec@1 4.297 (4.392)	Prec@5 14.844 (15.314)
Epoch: [1][6000/7045]	Time 0.109 (0.252)	Data 0.059 (0.183)	Loss 5.1336 (5.0385)	Prec@1 5.078 (4.391)	Prec@5 17.969 (15.311)
Epoch: [1][6010/7045]	Time 0.102 (0.252)	Data 0.049 (0.183)	Loss 4.9147 (5.0386)	Prec@1 7.812 (4.391)	Prec@5 19.922 (15.309)
Epoch: [1][6020/7045]	Time 0.107 (0.252)	Data 0.055 (0.183)	Loss 5.2308 (5.0387)	Prec@1 3.125 (4.390)	Prec@5 13.672 (15.307)
Epoch: [1][6030/7045]	Time 0.104 (0.252)	Data 0.053 (0.183)	Loss 5.1455 (5.0388)	Prec@1 6.250 (4.390)	Prec@5 14.844 (15.307)
Epoch: [1][6040/7045]	Time 0.357 (0.252)	Data 0.305 (0.183)	Loss 4.9124 (5.0388)	Prec@1 5.469 (4.390)	Prec@5 17.969 (15.305)
Epoch: [1][6050/7045]	Time 0.101 (0.252)	Data 0.047 (0.183)	Loss 5.0994 (5.0388)	Prec@1 4.297 (4.389)	Prec@5 11.328 (15.304)
Epoch: [1][6060/7045]	Time 0.456 (0.252)	Data 0.404 (0.183)	Loss 5.0257 (5.0388)	Prec@1 4.688 (4.389)	Prec@5 16.797 (15.303)
Epoch: [1][6070/7045]	Time 0.102 (0.252)	Data 0.001 (0.183)	Loss 5.0894 (5.0390)	Prec@1 4.297 (4.388)	Prec@5 14.453 (15.300)
Epoch: [1][6080/7045]	Time 0.360 (0.252)	Data 0.308 (0.183)	Loss 5.1514 (5.0393)	Prec@1 2.734 (4.386)	Prec@5 17.188 (15.295)
Epoch: [1][6090/7045]	Time 0.307 (0.252)	Data 0.255 (0.183)	Loss 5.2498 (5.0394)	Prec@1 5.078 (4.385)	Prec@5 12.500 (15.293)
Epoch: [1][6100/7045]	Time 0.132 (0.252)	Data 0.081 (0.183)	Loss 5.0975 (5.0395)	Prec@1 4.688 (4.385)	Prec@5 12.891 (15.290)
Epoch: [1][6110/7045]	Time 0.464 (0.252)	Data 0.412 (0.183)	Loss 5.1845 (5.0396)	Prec@1 1.562 (4.385)	Prec@5 13.281 (15.288)
Epoch: [1][6120/7045]	Time 0.101 (0.252)	Data 0.001 (0.183)	Loss 5.1519 (5.0397)	Prec@1 5.078 (4.384)	Prec@5 15.234 (15.286)
Epoch: [1][6130/7045]	Time 0.434 (0.252)	Data 0.382 (0.183)	Loss 5.0010 (5.0398)	Prec@1 5.469 (4.383)	Prec@5 14.844 (15.284)
Epoch: [1][6140/7045]	Time 0.102 (0.252)	Data 0.001 (0.183)	Loss 5.0973 (5.0399)	Prec@1 4.297 (4.383)	Prec@5 15.625 (15.284)
Epoch: [1][6150/7045]	Time 0.103 (0.252)	Data 0.004 (0.183)	Loss 5.0863 (5.0399)	Prec@1 4.297 (4.384)	Prec@5 15.234 (15.284)
Epoch: [1][6160/7045]	Time 0.101 (0.252)	Data 0.019 (0.183)	Loss 5.0845 (5.0402)	Prec@1 3.906 (4.382)	Prec@5 14.844 (15.280)
Epoch: [1][6170/7045]	Time 0.110 (0.252)	Data 0.018 (0.183)	Loss 5.0474 (5.0404)	Prec@1 4.688 (4.382)	Prec@5 14.453 (15.278)
Epoch: [1][6180/7045]	Time 0.501 (0.252)	Data 0.449 (0.183)	Loss 5.1152 (5.0404)	Prec@1 4.688 (4.382)	Prec@5 14.453 (15.277)
Epoch: [1][6190/7045]	Time 0.109 (0.252)	Data 0.019 (0.183)	Loss 5.1072 (5.0405)	Prec@1 3.516 (4.380)	Prec@5 14.844 (15.275)
Epoch: [1][6200/7045]	Time 0.419 (0.252)	Data 0.367 (0.183)	Loss 5.0847 (5.0405)	Prec@1 4.297 (4.380)	Prec@5 16.797 (15.274)
Epoch: [1][6210/7045]	Time 0.132 (0.252)	Data 0.081 (0.183)	Loss 5.2281 (5.0407)	Prec@1 3.906 (4.378)	Prec@5 10.938 (15.269)
Epoch: [1][6220/7045]	Time 0.315 (0.252)	Data 0.264 (0.183)	Loss 5.1928 (5.0409)	Prec@1 4.688 (4.377)	Prec@5 13.281 (15.265)
Epoch: [1][6230/7045]	Time 0.102 (0.252)	Data 0.001 (0.183)	Loss 4.9948 (5.0410)	Prec@1 3.125 (4.376)	Prec@5 11.719 (15.263)
Epoch: [1][6240/7045]	Time 0.211 (0.252)	Data 0.160 (0.183)	Loss 5.1360 (5.0411)	Prec@1 2.734 (4.375)	Prec@5 11.328 (15.261)
Epoch: [1][6250/7045]	Time 0.102 (0.252)	Data 0.001 (0.183)	Loss 5.0059 (5.0412)	Prec@1 5.078 (4.374)	Prec@5 12.500 (15.258)
Epoch: [1][6260/7045]	Time 0.245 (0.252)	Data 0.195 (0.183)	Loss 5.1680 (5.0414)	Prec@1 4.688 (4.373)	Prec@5 13.281 (15.255)
Epoch: [1][6270/7045]	Time 0.519 (0.252)	Data 0.468 (0.183)	Loss 5.1817 (5.0416)	Prec@1 3.516 (4.372)	Prec@5 11.328 (15.253)
Epoch: [1][6280/7045]	Time 0.111 (0.252)	Data 0.001 (0.183)	Loss 5.1228 (5.0417)	Prec@1 4.688 (4.373)	Prec@5 14.453 (15.252)
Epoch: [1][6290/7045]	Time 0.317 (0.252)	Data 0.266 (0.183)	Loss 5.1097 (5.0418)	Prec@1 1.953 (4.372)	Prec@5 12.500 (15.249)
Epoch: [1][6300/7045]	Time 0.212 (0.252)	Data 0.161 (0.183)	Loss 5.3196 (5.0420)	Prec@1 2.734 (4.370)	Prec@5 13.672 (15.248)
Epoch: [1][6310/7045]	Time 0.101 (0.252)	Data 0.048 (0.183)	Loss 5.0631 (5.0421)	Prec@1 4.297 (4.370)	Prec@5 15.625 (15.246)
Epoch: [1][6320/7045]	Time 0.158 (0.252)	Data 0.107 (0.183)	Loss 5.1523 (5.0423)	Prec@1 2.734 (4.368)	Prec@5 16.406 (15.244)
Epoch: [1][6330/7045]	Time 0.350 (0.252)	Data 0.299 (0.183)	Loss 5.1341 (5.0424)	Prec@1 3.125 (4.367)	Prec@5 13.672 (15.242)
Epoch: [1][6340/7045]	Time 0.120 (0.252)	Data 0.068 (0.183)	Loss 5.0379 (5.0425)	Prec@1 3.125 (4.365)	Prec@5 10.547 (15.238)
Epoch: [1][6350/7045]	Time 0.102 (0.252)	Data 0.001 (0.183)	Loss 5.0959 (5.0427)	Prec@1 3.516 (4.364)	Prec@5 12.891 (15.234)
Epoch: [1][6360/7045]	Time 0.273 (0.252)	Data 0.221 (0.183)	Loss 5.1333 (5.0428)	Prec@1 4.688 (4.363)	Prec@5 14.453 (15.231)
Epoch: [1][6370/7045]	Time 0.247 (0.252)	Data 0.196 (0.183)	Loss 5.1822 (5.0429)	Prec@1 2.344 (4.362)	Prec@5 12.891 (15.228)
Epoch: [1][6380/7045]	Time 0.106 (0.252)	Data 0.054 (0.183)	Loss 5.0672 (5.0431)	Prec@1 3.516 (4.360)	Prec@5 12.891 (15.224)
Epoch: [1][6390/7045]	Time 0.140 (0.252)	Data 0.082 (0.183)	Loss 5.3353 (5.0433)	Prec@1 2.344 (4.358)	Prec@5 12.891 (15.220)
Epoch: [1][6400/7045]	Time 0.102 (0.252)	Data 0.001 (0.183)	Loss 5.1519 (5.0434)	Prec@1 3.125 (4.357)	Prec@5 11.719 (15.218)
Epoch: [1][6410/7045]	Time 0.182 (0.252)	Data 0.131 (0.183)	Loss 4.9733 (5.0433)	Prec@1 2.734 (4.357)	Prec@5 16.406 (15.220)
Epoch: [1][6420/7045]	Time 0.101 (0.252)	Data 0.042 (0.183)	Loss 5.1298 (5.0434)	Prec@1 3.125 (4.357)	Prec@5 13.281 (15.218)
Epoch: [1][6430/7045]	Time 0.250 (0.252)	Data 0.200 (0.183)	Loss 5.0572 (5.0434)	Prec@1 4.688 (4.357)	Prec@5 16.016 (15.218)
Epoch: [1][6440/7045]	Time 0.259 (0.252)	Data 0.208 (0.183)	Loss 5.0836 (5.0435)	Prec@1 3.906 (4.356)	Prec@5 15.625 (15.216)
Epoch: [1][6450/7045]	Time 0.102 (0.252)	Data 0.001 (0.183)	Loss 4.9372 (5.0436)	Prec@1 3.516 (4.355)	Prec@5 18.359 (15.215)
Epoch: [1][6460/7045]	Time 0.111 (0.252)	Data 0.050 (0.183)	Loss 5.1190 (5.0436)	Prec@1 4.297 (4.354)	Prec@5 12.891 (15.212)
Epoch: [1][6470/7045]	Time 0.219 (0.252)	Data 0.169 (0.183)	Loss 5.1012 (5.0437)	Prec@1 5.859 (4.353)	Prec@5 13.672 (15.210)
Epoch: [1][6480/7045]	Time 0.457 (0.252)	Data 0.407 (0.183)	Loss 4.9354 (5.0438)	Prec@1 3.125 (4.352)	Prec@5 17.188 (15.208)
Epoch: [1][6490/7045]	Time 0.344 (0.252)	Data 0.291 (0.183)	Loss 5.0527 (5.0438)	Prec@1 3.906 (4.351)	Prec@5 16.797 (15.208)
Epoch: [1][6500/7045]	Time 0.174 (0.252)	Data 0.113 (0.183)	Loss 5.0799 (5.0439)	Prec@1 3.516 (4.351)	Prec@5 12.891 (15.206)
Epoch: [1][6510/7045]	Time 0.101 (0.252)	Data 0.045 (0.183)	Loss 4.9668 (5.0439)	Prec@1 5.078 (4.351)	Prec@5 18.750 (15.206)
Epoch: [1][6520/7045]	Time 0.152 (0.252)	Data 0.101 (0.183)	Loss 5.1450 (5.0440)	Prec@1 2.734 (4.349)	Prec@5 13.281 (15.203)
Epoch: [1][6530/7045]	Time 0.136 (0.252)	Data 0.084 (0.183)	Loss 5.1939 (5.0442)	Prec@1 3.516 (4.348)	Prec@5 12.109 (15.199)
Epoch: [1][6540/7045]	Time 0.105 (0.252)	Data 0.052 (0.183)	Loss 5.2350 (5.0443)	Prec@1 3.125 (4.346)	Prec@5 10.547 (15.197)
Epoch: [1][6550/7045]	Time 0.176 (0.252)	Data 0.126 (0.183)	Loss 4.9974 (5.0445)	Prec@1 3.125 (4.345)	Prec@5 17.578 (15.195)
Epoch: [1][6560/7045]	Time 0.187 (0.252)	Data 0.136 (0.183)	Loss 5.1364 (5.0446)	Prec@1 4.297 (4.344)	Prec@5 15.234 (15.192)
Epoch: [1][6570/7045]	Time 0.141 (0.252)	Data 0.090 (0.183)	Loss 5.1839 (5.0447)	Prec@1 3.516 (4.344)	Prec@5 14.453 (15.192)
Epoch: [1][6580/7045]	Time 0.254 (0.252)	Data 0.203 (0.183)	Loss 5.0397 (5.0447)	Prec@1 4.297 (4.343)	Prec@5 14.844 (15.191)
Epoch: [1][6590/7045]	Time 0.186 (0.252)	Data 0.134 (0.183)	Loss 5.0250 (5.0447)	Prec@1 2.734 (4.343)	Prec@5 11.328 (15.192)
Epoch: [1][6600/7045]	Time 0.549 (0.252)	Data 0.497 (0.183)	Loss 5.1104 (5.0447)	Prec@1 2.734 (4.343)	Prec@5 13.281 (15.192)
Epoch: [1][6610/7045]	Time 0.112 (0.252)	Data 0.001 (0.183)	Loss 4.9553 (5.0447)	Prec@1 4.297 (4.343)	Prec@5 16.016 (15.192)
Epoch: [1][6620/7045]	Time 0.288 (0.252)	Data 0.232 (0.183)	Loss 5.0121 (5.0447)	Prec@1 3.906 (4.343)	Prec@5 15.625 (15.191)
Epoch: [1][6630/7045]	Time 0.103 (0.252)	Data 0.001 (0.183)	Loss 5.0575 (5.0447)	Prec@1 3.906 (4.343)	Prec@5 15.625 (15.193)
Epoch: [1][6640/7045]	Time 0.102 (0.252)	Data 0.001 (0.183)	Loss 4.9786 (5.0447)	Prec@1 4.688 (4.342)	Prec@5 16.016 (15.190)
Epoch: [1][6650/7045]	Time 0.412 (0.252)	Data 0.360 (0.183)	Loss 5.2452 (5.0448)	Prec@1 3.125 (4.342)	Prec@5 10.938 (15.189)
Epoch: [1][6660/7045]	Time 0.107 (0.252)	Data 0.001 (0.183)	Loss 5.1492 (5.0449)	Prec@1 4.297 (4.342)	Prec@5 14.453 (15.187)
Epoch: [1][6670/7045]	Time 0.717 (0.252)	Data 0.658 (0.183)	Loss 5.0266 (5.0449)	Prec@1 4.688 (4.342)	Prec@5 16.406 (15.187)
Epoch: [1][6680/7045]	Time 0.101 (0.252)	Data 0.001 (0.183)	Loss 5.0707 (5.0450)	Prec@1 3.125 (4.342)	Prec@5 11.719 (15.186)
Epoch: [1][6690/7045]	Time 0.361 (0.252)	Data 0.304 (0.183)	Loss 5.0593 (5.0451)	Prec@1 5.469 (4.342)	Prec@5 14.062 (15.185)
Epoch: [1][6700/7045]	Time 0.119 (0.252)	Data 0.067 (0.183)	Loss 5.0441 (5.0452)	Prec@1 3.125 (4.341)	Prec@5 15.625 (15.183)
Epoch: [1][6710/7045]	Time 0.107 (0.252)	Data 0.001 (0.183)	Loss 5.1296 (5.0454)	Prec@1 3.125 (4.339)	Prec@5 12.891 (15.180)
Epoch: [1][6720/7045]	Time 0.102 (0.252)	Data 0.001 (0.183)	Loss 5.0168 (5.0454)	Prec@1 6.641 (4.338)	Prec@5 17.578 (15.178)
Epoch: [1][6730/7045]	Time 0.135 (0.252)	Data 0.081 (0.183)	Loss 5.1562 (5.0455)	Prec@1 4.297 (4.339)	Prec@5 12.500 (15.177)
Epoch: [1][6740/7045]	Time 0.103 (0.252)	Data 0.001 (0.183)	Loss 5.1759 (5.0455)	Prec@1 1.172 (4.338)	Prec@5 12.109 (15.178)
Epoch: [1][6750/7045]	Time 0.101 (0.252)	Data 0.001 (0.183)	Loss 5.2271 (5.0456)	Prec@1 2.344 (4.338)	Prec@5 10.938 (15.178)
Epoch: [1][6760/7045]	Time 0.353 (0.252)	Data 0.303 (0.183)	Loss 5.0961 (5.0457)	Prec@1 2.734 (4.337)	Prec@5 11.328 (15.176)
Epoch: [1][6770/7045]	Time 0.120 (0.252)	Data 0.065 (0.183)	Loss 5.0080 (5.0458)	Prec@1 4.688 (4.337)	Prec@5 14.453 (15.174)
Epoch: [1][6780/7045]	Time 0.471 (0.252)	Data 0.420 (0.183)	Loss 5.1406 (5.0458)	Prec@1 3.516 (4.336)	Prec@5 15.234 (15.173)
Epoch: [1][6790/7045]	Time 0.102 (0.252)	Data 0.001 (0.183)	Loss 5.1368 (5.0459)	Prec@1 3.125 (4.335)	Prec@5 13.281 (15.169)
Epoch: [1][6800/7045]	Time 0.428 (0.252)	Data 0.376 (0.183)	Loss 5.0796 (5.0460)	Prec@1 3.516 (4.333)	Prec@5 14.453 (15.168)
Epoch: [1][6810/7045]	Time 0.150 (0.252)	Data 0.099 (0.183)	Loss 5.2217 (5.0460)	Prec@1 2.734 (4.333)	Prec@5 13.281 (15.168)
Epoch: [1][6820/7045]	Time 0.471 (0.252)	Data 0.421 (0.183)	Loss 4.9707 (5.0461)	Prec@1 3.906 (4.332)	Prec@5 15.234 (15.166)
Epoch: [1][6830/7045]	Time 0.102 (0.252)	Data 0.048 (0.183)	Loss 4.9452 (5.0461)	Prec@1 6.641 (4.331)	Prec@5 19.141 (15.165)
Epoch: [1][6840/7045]	Time 0.324 (0.252)	Data 0.273 (0.183)	Loss 5.0804 (5.0461)	Prec@1 3.906 (4.331)	Prec@5 16.016 (15.165)
Epoch: [1][6850/7045]	Time 0.109 (0.251)	Data 0.057 (0.183)	Loss 5.0553 (5.0462)	Prec@1 5.469 (4.330)	Prec@5 16.406 (15.164)
Epoch: [1][6860/7045]	Time 0.282 (0.252)	Data 0.231 (0.183)	Loss 5.3087 (5.0463)	Prec@1 3.516 (4.329)	Prec@5 10.938 (15.162)
Epoch: [1][6870/7045]	Time 0.102 (0.251)	Data 0.048 (0.183)	Loss 5.0918 (5.0465)	Prec@1 3.906 (4.328)	Prec@5 15.234 (15.159)
Epoch: [1][6880/7045]	Time 0.161 (0.251)	Data 0.109 (0.183)	Loss 5.1675 (5.0466)	Prec@1 5.469 (4.328)	Prec@5 14.844 (15.158)
Epoch: [1][6890/7045]	Time 0.158 (0.251)	Data 0.107 (0.183)	Loss 4.9718 (5.0467)	Prec@1 5.859 (4.328)	Prec@5 16.406 (15.156)
Epoch: [1][6900/7045]	Time 0.166 (0.251)	Data 0.115 (0.183)	Loss 5.0470 (5.0468)	Prec@1 3.906 (4.327)	Prec@5 16.797 (15.156)
Epoch: [1][6910/7045]	Time 0.268 (0.251)	Data 0.217 (0.183)	Loss 5.1228 (5.0468)	Prec@1 4.297 (4.327)	Prec@5 12.500 (15.155)
Epoch: [1][6920/7045]	Time 0.138 (0.251)	Data 0.087 (0.183)	Loss 5.1491 (5.0470)	Prec@1 3.516 (4.325)	Prec@5 13.672 (15.152)
Epoch: [1][6930/7045]	Time 0.224 (0.251)	Data 0.172 (0.183)	Loss 4.9445 (5.0470)	Prec@1 3.906 (4.325)	Prec@5 14.453 (15.151)
Epoch: [1][6940/7045]	Time 0.100 (0.251)	Data 0.005 (0.183)	Loss 5.1092 (5.0471)	Prec@1 7.031 (4.325)	Prec@5 16.016 (15.151)
Epoch: [1][6950/7045]	Time 0.108 (0.251)	Data 0.055 (0.183)	Loss 5.1540 (5.0472)	Prec@1 5.469 (4.324)	Prec@5 14.062 (15.149)
Epoch: [1][6960/7045]	Time 0.102 (0.251)	Data 0.001 (0.183)	Loss 5.0386 (5.0473)	Prec@1 4.688 (4.324)	Prec@5 13.672 (15.147)
Epoch: [1][6970/7045]	Time 0.310 (0.251)	Data 0.259 (0.183)	Loss 5.0740 (5.0474)	Prec@1 3.516 (4.323)	Prec@5 12.500 (15.145)
Epoch: [1][6980/7045]	Time 0.109 (0.251)	Data 0.057 (0.183)	Loss 5.0132 (5.0475)	Prec@1 5.859 (4.323)	Prec@5 17.578 (15.144)
Epoch: [1][6990/7045]	Time 0.364 (0.251)	Data 0.313 (0.183)	Loss 5.2631 (5.0477)	Prec@1 3.906 (4.323)	Prec@5 12.109 (15.142)
Epoch: [1][7000/7045]	Time 0.110 (0.251)	Data 0.001 (0.183)	Loss 5.1440 (5.0478)	Prec@1 3.125 (4.321)	Prec@5 13.672 (15.137)
Epoch: [1][7010/7045]	Time 0.351 (0.251)	Data 0.300 (0.183)	Loss 5.3091 (5.0481)	Prec@1 2.344 (4.320)	Prec@5 9.766 (15.133)
Epoch: [1][7020/7045]	Time 0.155 (0.251)	Data 0.105 (0.183)	Loss 5.1289 (5.0482)	Prec@1 3.906 (4.319)	Prec@5 13.281 (15.130)
Epoch: [1][7030/7045]	Time 0.101 (0.251)	Data 0.004 (0.183)	Loss 5.0965 (5.0483)	Prec@1 3.906 (4.319)	Prec@5 18.359 (15.130)
Epoch: [1][7040/7045]	Time 0.279 (0.251)	Data 0.226 (0.183)	Loss 4.9191 (5.0483)	Prec@1 5.469 (4.319)	Prec@5 20.312 (15.129)
Test: [0/143]	Time 1.170 (1.170)	Loss 4.7334 (4.7334)	Prec@1 5.859 (5.859)	Prec@5 19.531 (19.531)
Test: [10/143]	Time 0.158 (0.253)	Loss 4.4278 (4.8563)	Prec@1 6.641 (4.403)	Prec@5 34.766 (19.389)
Test: [20/143]	Time 0.183 (0.220)	Loss 4.9555 (4.9150)	Prec@1 3.906 (4.148)	Prec@5 14.062 (18.080)
Test: [30/143]	Time 0.358 (0.210)	Loss 5.1133 (4.9295)	Prec@1 1.953 (3.944)	Prec@5 11.328 (16.948)
Test: [40/143]	Time 0.060 (0.201)	Loss 5.1750 (4.9329)	Prec@1 1.953 (3.954)	Prec@5 7.422 (16.597)
Test: [50/143]	Time 0.133 (0.196)	Loss 4.6350 (4.9523)	Prec@1 5.078 (3.562)	Prec@5 28.906 (15.602)
Test: [60/143]	Time 0.105 (0.192)	Loss 4.8900 (4.9378)	Prec@1 2.734 (3.541)	Prec@5 16.016 (16.099)
Test: [70/143]	Time 0.113 (0.191)	Loss 4.9418 (4.9159)	Prec@1 8.984 (4.044)	Prec@5 23.438 (16.747)
Test: [80/143]	Time 0.151 (0.187)	Loss 4.1799 (4.9027)	Prec@1 14.844 (4.326)	Prec@5 47.266 (17.298)
Test: [90/143]	Time 0.242 (0.188)	Loss 4.8352 (4.8982)	Prec@1 4.297 (4.473)	Prec@5 17.969 (17.617)
Test: [100/143]	Time 0.116 (0.186)	Loss 4.3518 (4.8899)	Prec@1 9.766 (4.533)	Prec@5 37.109 (17.845)
Test: [110/143]	Time 0.169 (0.185)	Loss 4.8882 (4.8848)	Prec@1 5.859 (4.716)	Prec@5 21.875 (18.067)
Test: [120/143]	Time 0.149 (0.184)	Loss 4.8373 (4.8746)	Prec@1 12.109 (4.981)	Prec@5 21.094 (18.314)
Test: [130/143]	Time 0.333 (0.185)	Loss 4.5909 (4.8704)	Prec@1 19.922 (5.159)	Prec@5 23.828 (18.523)
Test: [140/143]	Time 0.253 (0.184)	Loss 5.3387 (4.8835)	Prec@1 1.562 (5.125)	Prec@5 4.688 (18.124)
 * Prec@1 5.129 Prec@5 18.115
Epoch: [2][0/7045]	Time 2.342 (2.342)	Data 2.284 (2.284)	Loss 5.1776 (5.1776)	Prec@1 1.562 (1.562)	Prec@5 10.938 (10.938)
Epoch: [2][10/7045]	Time 0.163 (0.431)	Data 0.112 (0.350)	Loss 5.1232 (5.1075)	Prec@1 4.297 (3.622)	Prec@5 14.844 (14.702)
Epoch: [2][20/7045]	Time 0.634 (0.358)	Data 0.577 (0.280)	Loss 5.1798 (5.1011)	Prec@1 5.859 (3.925)	Prec@5 11.328 (13.988)
Epoch: [2][30/7045]	Time 0.206 (0.320)	Data 0.155 (0.247)	Loss 5.2415 (5.1022)	Prec@1 4.297 (4.095)	Prec@5 10.547 (14.062)
Epoch: [2][40/7045]	Time 0.364 (0.306)	Data 0.314 (0.232)	Loss 5.0434 (5.1042)	Prec@1 3.125 (4.135)	Prec@5 11.719 (14.053)
Epoch: [2][50/7045]	Time 0.190 (0.293)	Data 0.140 (0.224)	Loss 5.1366 (5.1126)	Prec@1 3.125 (3.991)	Prec@5 12.891 (13.909)
Epoch: [2][60/7045]	Time 0.102 (0.287)	Data 0.012 (0.220)	Loss 5.0093 (5.1091)	Prec@1 4.297 (4.022)	Prec@5 14.844 (14.024)
Epoch: [2][70/7045]	Time 0.102 (0.281)	Data 0.001 (0.213)	Loss 5.0203 (5.0967)	Prec@1 3.125 (4.077)	Prec@5 12.109 (14.189)
Epoch: [2][80/7045]	Time 0.422 (0.281)	Data 0.370 (0.214)	Loss 5.1935 (5.0960)	Prec@1 1.953 (3.974)	Prec@5 12.109 (14.116)
Epoch: [2][90/7045]	Time 0.349 (0.276)	Data 0.298 (0.209)	Loss 5.1618 (5.1005)	Prec@1 2.734 (3.880)	Prec@5 14.453 (13.977)
Epoch: [2][100/7045]	Time 0.108 (0.272)	Data 0.057 (0.205)	Loss 5.1587 (5.0996)	Prec@1 2.734 (3.883)	Prec@5 16.016 (14.020)
Epoch: [2][110/7045]	Time 0.414 (0.272)	Data 0.362 (0.205)	Loss 5.0209 (5.1038)	Prec@1 8.984 (3.948)	Prec@5 16.797 (14.041)
Epoch: [2][120/7045]	Time 0.101 (0.269)	Data 0.002 (0.203)	Loss 5.0768 (5.1030)	Prec@1 4.297 (3.951)	Prec@5 15.234 (14.050)
Epoch: [2][130/7045]	Time 0.504 (0.270)	Data 0.452 (0.204)	Loss 5.1309 (5.0972)	Prec@1 3.516 (4.020)	Prec@5 14.062 (14.143)
Epoch: [2][140/7045]	Time 0.102 (0.267)	Data 0.006 (0.202)	Loss 5.1148 (5.0925)	Prec@1 2.734 (4.050)	Prec@5 13.672 (14.159)
Epoch: [2][150/7045]	Time 0.692 (0.268)	Data 0.633 (0.203)	Loss 5.0720 (5.0945)	Prec@1 5.469 (4.007)	Prec@5 14.844 (14.135)
Epoch: [2][160/7045]	Time 0.160 (0.266)	Data 0.110 (0.200)	Loss 5.0215 (5.0952)	Prec@1 4.297 (4.003)	Prec@5 16.797 (14.167)
Epoch: [2][170/7045]	Time 0.567 (0.266)	Data 0.515 (0.200)	Loss 5.1838 (5.0957)	Prec@1 5.859 (4.016)	Prec@5 11.719 (14.145)
Epoch: [2][180/7045]	Time 0.110 (0.264)	Data 0.057 (0.199)	Loss 5.2323 (5.0969)	Prec@1 4.688 (4.072)	Prec@5 14.062 (14.170)
Epoch: [2][190/7045]	Time 0.352 (0.264)	Data 0.300 (0.199)	Loss 5.0087 (5.0949)	Prec@1 1.953 (4.025)	Prec@5 15.234 (14.204)
Epoch: [2][200/7045]	Time 0.116 (0.262)	Data 0.065 (0.197)	Loss 5.0876 (5.0959)	Prec@1 2.734 (3.998)	Prec@5 15.625 (14.173)
Epoch: [2][210/7045]	Time 0.202 (0.261)	Data 0.152 (0.198)	Loss 5.2451 (5.0985)	Prec@1 4.297 (3.993)	Prec@5 15.625 (14.150)
Epoch: [2][220/7045]	Time 0.237 (0.260)	Data 0.186 (0.197)	Loss 5.1116 (5.0996)	Prec@1 4.297 (4.016)	Prec@5 12.891 (14.108)
Epoch: [2][230/7045]	Time 0.324 (0.261)	Data 0.273 (0.198)	Loss 5.2255 (5.1020)	Prec@1 2.344 (4.009)	Prec@5 9.766 (14.066)
Epoch: [2][240/7045]	Time 0.314 (0.261)	Data 0.263 (0.198)	Loss 4.9216 (5.1017)	Prec@1 7.031 (4.051)	Prec@5 16.797 (14.062)
Epoch: [2][250/7045]	Time 0.102 (0.259)	Data 0.001 (0.196)	Loss 5.0772 (5.1016)	Prec@1 3.125 (4.040)	Prec@5 13.672 (14.053)
Epoch: [2][260/7045]	Time 0.109 (0.260)	Data 0.001 (0.196)	Loss 5.2427 (5.1025)	Prec@1 3.516 (4.047)	Prec@5 12.500 (14.048)
Epoch: [2][270/7045]	Time 0.169 (0.259)	Data 0.118 (0.194)	Loss 5.2376 (5.1039)	Prec@1 3.516 (4.037)	Prec@5 14.453 (14.021)
Epoch: [2][280/7045]	Time 0.107 (0.259)	Data 0.054 (0.194)	Loss 5.0249 (5.1041)	Prec@1 4.688 (4.047)	Prec@5 15.625 (14.028)
Epoch: [2][290/7045]	Time 0.704 (0.260)	Data 0.651 (0.196)	Loss 5.1148 (5.1035)	Prec@1 6.641 (4.067)	Prec@5 17.969 (14.057)
Epoch: [2][300/7045]	Time 0.121 (0.258)	Data 0.070 (0.194)	Loss 5.1117 (5.1033)	Prec@1 4.297 (4.079)	Prec@5 10.547 (14.044)
Epoch: [2][310/7045]	Time 0.671 (0.259)	Data 0.610 (0.195)	Loss 5.1298 (5.1031)	Prec@1 5.859 (4.065)	Prec@5 13.281 (14.034)
Epoch: [2][320/7045]	Time 0.173 (0.258)	Data 0.122 (0.194)	Loss 5.3490 (5.1048)	Prec@1 3.516 (4.046)	Prec@5 8.594 (14.002)
Epoch: [2][330/7045]	Time 0.101 (0.258)	Data 0.003 (0.194)	Loss 5.1129 (5.1041)	Prec@1 3.516 (4.044)	Prec@5 13.672 (13.992)
Epoch: [2][340/7045]	Time 0.369 (0.259)	Data 0.310 (0.195)	Loss 5.0735 (5.1032)	Prec@1 4.297 (4.049)	Prec@5 14.844 (13.998)
Epoch: [2][350/7045]	Time 0.464 (0.259)	Data 0.413 (0.195)	Loss 5.0388 (5.1006)	Prec@1 5.859 (4.056)	Prec@5 17.188 (14.050)
Epoch: [2][360/7045]	Time 0.162 (0.258)	Data 0.110 (0.195)	Loss 5.0939 (5.1035)	Prec@1 4.688 (4.048)	Prec@5 14.844 (14.016)
Epoch: [2][370/7045]	Time 0.248 (0.258)	Data 0.196 (0.195)	Loss 5.1818 (5.1048)	Prec@1 3.125 (4.036)	Prec@5 10.547 (13.997)
Epoch: [2][380/7045]	Time 0.153 (0.258)	Data 0.101 (0.195)	Loss 5.1360 (5.1069)	Prec@1 3.906 (4.029)	Prec@5 9.375 (13.931)
Epoch: [2][390/7045]	Time 0.101 (0.258)	Data 0.011 (0.194)	Loss 5.1176 (5.1073)	Prec@1 4.297 (4.023)	Prec@5 19.141 (13.940)
Epoch: [2][400/7045]	Time 0.371 (0.258)	Data 0.320 (0.195)	Loss 5.1326 (5.1064)	Prec@1 3.125 (4.031)	Prec@5 13.672 (13.985)
Epoch: [2][410/7045]	Time 0.127 (0.258)	Data 0.069 (0.195)	Loss 5.0684 (5.1051)	Prec@1 5.859 (4.034)	Prec@5 14.844 (14.016)
Epoch: [2][420/7045]	Time 0.589 (0.258)	Data 0.539 (0.195)	Loss 4.9766 (5.1038)	Prec@1 6.641 (4.043)	Prec@5 20.312 (14.040)
Epoch: [2][430/7045]	Time 0.276 (0.257)	Data 0.223 (0.194)	Loss 5.0651 (5.1042)	Prec@1 3.906 (4.044)	Prec@5 14.062 (14.051)
Epoch: [2][440/7045]	Time 0.609 (0.258)	Data 0.559 (0.194)	Loss 5.1397 (5.1041)	Prec@1 3.516 (4.034)	Prec@5 11.328 (14.054)
Epoch: [2][450/7045]	Time 0.101 (0.257)	Data 0.020 (0.193)	Loss 5.0138 (5.1028)	Prec@1 3.906 (4.027)	Prec@5 14.062 (14.056)
Epoch: [2][460/7045]	Time 0.660 (0.258)	Data 0.608 (0.194)	Loss 5.0188 (5.1022)	Prec@1 3.516 (4.016)	Prec@5 14.453 (14.057)
Epoch: [2][470/7045]	Time 0.102 (0.257)	Data 0.001 (0.192)	Loss 5.0330 (5.1006)	Prec@1 5.078 (4.023)	Prec@5 18.359 (14.094)
Epoch: [2][480/7045]	Time 0.534 (0.257)	Data 0.474 (0.192)	Loss 5.0598 (5.0990)	Prec@1 5.469 (4.029)	Prec@5 16.016 (14.120)
Epoch: [2][490/7045]	Time 0.102 (0.257)	Data 0.001 (0.192)	Loss 5.0788 (5.0990)	Prec@1 5.859 (4.037)	Prec@5 16.016 (14.136)
Epoch: [2][500/7045]	Time 0.596 (0.257)	Data 0.537 (0.191)	Loss 5.0983 (5.0990)	Prec@1 1.953 (4.026)	Prec@5 13.672 (14.118)
Epoch: [2][510/7045]	Time 0.224 (0.256)	Data 0.172 (0.191)	Loss 5.1046 (5.0986)	Prec@1 4.297 (4.021)	Prec@5 12.500 (14.118)
Epoch: [2][520/7045]	Time 0.561 (0.256)	Data 0.509 (0.191)	Loss 5.0164 (5.0978)	Prec@1 4.297 (4.028)	Prec@5 13.672 (14.113)
Epoch: [2][530/7045]	Time 0.433 (0.256)	Data 0.383 (0.191)	Loss 5.0361 (5.0967)	Prec@1 3.125 (4.025)	Prec@5 16.797 (14.129)
Epoch: [2][540/7045]	Time 0.140 (0.256)	Data 0.088 (0.191)	Loss 5.1262 (5.0966)	Prec@1 5.469 (4.020)	Prec@5 16.797 (14.133)
Epoch: [2][550/7045]	Time 0.634 (0.256)	Data 0.582 (0.191)	Loss 5.0317 (5.0956)	Prec@1 5.078 (4.029)	Prec@5 15.625 (14.143)
Epoch: [2][560/7045]	Time 0.152 (0.255)	Data 0.099 (0.190)	Loss 5.1317 (5.0957)	Prec@1 3.906 (4.031)	Prec@5 13.281 (14.128)
Epoch: [2][570/7045]	Time 0.484 (0.255)	Data 0.432 (0.190)	Loss 5.2176 (5.0968)	Prec@1 4.688 (4.036)	Prec@5 13.281 (14.114)
Epoch: [2][580/7045]	Time 0.103 (0.255)	Data 0.001 (0.190)	Loss 5.1890 (5.0986)	Prec@1 4.688 (4.027)	Prec@5 13.672 (14.075)
Epoch: [2][590/7045]	Time 0.394 (0.255)	Data 0.343 (0.190)	Loss 5.0971 (5.1003)	Prec@1 5.078 (4.020)	Prec@5 12.500 (14.051)
Epoch: [2][600/7045]	Time 0.103 (0.255)	Data 0.051 (0.190)	Loss 5.1864 (5.1009)	Prec@1 2.734 (4.016)	Prec@5 13.672 (14.050)
Epoch: [2][610/7045]	Time 0.115 (0.255)	Data 0.064 (0.190)	Loss 5.0548 (5.1015)	Prec@1 3.125 (4.005)	Prec@5 13.672 (14.047)
Epoch: [2][620/7045]	Time 0.313 (0.255)	Data 0.262 (0.190)	Loss 5.1819 (5.1018)	Prec@1 2.734 (4.009)	Prec@5 11.328 (14.046)
Epoch: [2][630/7045]	Time 0.169 (0.255)	Data 0.117 (0.190)	Loss 5.1507 (5.1018)	Prec@1 3.906 (4.013)	Prec@5 12.500 (14.047)
Epoch: [2][640/7045]	Time 0.109 (0.255)	Data 0.050 (0.190)	Loss 5.0933 (5.1020)	Prec@1 2.344 (4.001)	Prec@5 12.500 (14.058)
Epoch: [2][650/7045]	Time 0.465 (0.255)	Data 0.413 (0.191)	Loss 5.1692 (5.1024)	Prec@1 5.078 (4.014)	Prec@5 15.625 (14.076)
Epoch: [2][660/7045]	Time 0.182 (0.255)	Data 0.130 (0.191)	Loss 5.2398 (5.1026)	Prec@1 3.906 (4.019)	Prec@5 13.281 (14.080)
Epoch: [2][670/7045]	Time 0.536 (0.255)	Data 0.485 (0.191)	Loss 5.0948 (5.1031)	Prec@1 3.906 (4.012)	Prec@5 14.453 (14.081)
Epoch: [2][680/7045]	Time 0.102 (0.255)	Data 0.001 (0.190)	Loss 5.1592 (5.1033)	Prec@1 2.344 (3.998)	Prec@5 13.281 (14.077)
Epoch: [2][690/7045]	Time 0.541 (0.255)	Data 0.484 (0.190)	Loss 5.0959 (5.1026)	Prec@1 4.297 (4.007)	Prec@5 16.406 (14.104)
Epoch: [2][700/7045]	Time 0.101 (0.254)	Data 0.011 (0.190)	Loss 5.1463 (5.1021)	Prec@1 3.125 (4.014)	Prec@5 12.891 (14.123)
Epoch: [2][710/7045]	Time 0.323 (0.254)	Data 0.271 (0.190)	Loss 5.0765 (5.1023)	Prec@1 4.297 (4.019)	Prec@5 16.797 (14.128)
Epoch: [2][720/7045]	Time 0.264 (0.254)	Data 0.211 (0.190)	Loss 5.0702 (5.1028)	Prec@1 4.297 (4.017)	Prec@5 15.234 (14.122)
Epoch: [2][730/7045]	Time 0.163 (0.254)	Data 0.111 (0.190)	Loss 5.0264 (5.1026)	Prec@1 4.297 (4.017)	Prec@5 14.844 (14.123)
Epoch: [2][740/7045]	Time 0.102 (0.254)	Data 0.001 (0.190)	Loss 5.0897 (5.1019)	Prec@1 3.906 (4.022)	Prec@5 12.109 (14.129)
Epoch: [2][750/7045]	Time 0.200 (0.254)	Data 0.148 (0.190)	Loss 5.0909 (5.1021)	Prec@1 3.516 (4.019)	Prec@5 13.672 (14.136)
Epoch: [2][760/7045]	Time 0.569 (0.254)	Data 0.509 (0.190)	Loss 5.1913 (5.1025)	Prec@1 5.078 (4.015)	Prec@5 8.984 (14.128)
Epoch: [2][770/7045]	Time 0.098 (0.254)	Data 0.001 (0.190)	Loss 5.1047 (5.1030)	Prec@1 1.172 (4.008)	Prec@5 13.672 (14.129)
Epoch: [2][780/7045]	Time 0.696 (0.254)	Data 0.646 (0.190)	Loss 5.1871 (5.1027)	Prec@1 5.469 (4.007)	Prec@5 14.062 (14.138)
Epoch: [2][790/7045]	Time 0.346 (0.254)	Data 0.295 (0.190)	Loss 5.1658 (5.1022)	Prec@1 1.953 (4.005)	Prec@5 10.547 (14.146)
Epoch: [2][800/7045]	Time 0.441 (0.254)	Data 0.389 (0.190)	Loss 5.0943 (5.1014)	Prec@1 3.125 (4.009)	Prec@5 11.719 (14.156)
Epoch: [2][810/7045]	Time 0.321 (0.254)	Data 0.270 (0.190)	Loss 5.0434 (5.1004)	Prec@1 4.688 (4.021)	Prec@5 14.844 (14.172)
Epoch: [2][820/7045]	Time 0.224 (0.254)	Data 0.173 (0.190)	Loss 5.1319 (5.1008)	Prec@1 4.297 (4.016)	Prec@5 12.500 (14.160)
Epoch: [2][830/7045]	Time 0.534 (0.254)	Data 0.477 (0.190)	Loss 5.1896 (5.1007)	Prec@1 1.562 (4.017)	Prec@5 13.281 (14.165)
Epoch: [2][840/7045]	Time 0.205 (0.254)	Data 0.154 (0.190)	Loss 5.0294 (5.1007)	Prec@1 4.688 (4.015)	Prec@5 17.188 (14.162)
Epoch: [2][850/7045]	Time 0.575 (0.254)	Data 0.517 (0.190)	Loss 5.0523 (5.1003)	Prec@1 4.688 (4.024)	Prec@5 12.109 (14.166)
Epoch: [2][860/7045]	Time 0.102 (0.254)	Data 0.001 (0.190)	Loss 5.0468 (5.1004)	Prec@1 4.297 (4.021)	Prec@5 14.062 (14.153)
Epoch: [2][870/7045]	Time 0.461 (0.254)	Data 0.410 (0.190)	Loss 5.0733 (5.1001)	Prec@1 5.859 (4.020)	Prec@5 15.625 (14.164)
Epoch: [2][880/7045]	Time 0.106 (0.253)	Data 0.054 (0.189)	Loss 5.1460 (5.1002)	Prec@1 3.906 (4.022)	Prec@5 15.234 (14.177)
Epoch: [2][890/7045]	Time 0.223 (0.254)	Data 0.171 (0.190)	Loss 5.1508 (5.0998)	Prec@1 3.516 (4.023)	Prec@5 13.281 (14.190)
Epoch: [2][900/7045]	Time 0.101 (0.253)	Data 0.046 (0.189)	Loss 5.0203 (5.0999)	Prec@1 4.688 (4.025)	Prec@5 17.188 (14.205)
Epoch: [2][910/7045]	Time 0.112 (0.253)	Data 0.047 (0.190)	Loss 5.0431 (5.0999)	Prec@1 4.297 (4.023)	Prec@5 16.016 (14.212)
Epoch: [2][920/7045]	Time 0.102 (0.253)	Data 0.049 (0.189)	Loss 5.1662 (5.1000)	Prec@1 3.906 (4.022)	Prec@5 14.453 (14.222)
Epoch: [2][930/7045]	Time 0.121 (0.253)	Data 0.071 (0.189)	Loss 5.2435 (5.0998)	Prec@1 1.562 (4.024)	Prec@5 10.938 (14.223)
Epoch: [2][940/7045]	Time 0.101 (0.253)	Data 0.001 (0.189)	Loss 5.1963 (5.1005)	Prec@1 3.906 (4.023)	Prec@5 12.500 (14.211)
Epoch: [2][950/7045]	Time 0.116 (0.253)	Data 0.058 (0.189)	Loss 5.0020 (5.1005)	Prec@1 3.516 (4.023)	Prec@5 18.750 (14.207)
Epoch: [2][960/7045]	Time 0.102 (0.253)	Data 0.050 (0.189)	Loss 5.2545 (5.1004)	Prec@1 3.516 (4.018)	Prec@5 10.547 (14.205)
Epoch: [2][970/7045]	Time 0.168 (0.253)	Data 0.116 (0.189)	Loss 5.1075 (5.1006)	Prec@1 4.297 (4.017)	Prec@5 15.234 (14.205)
Epoch: [2][980/7045]	Time 0.103 (0.253)	Data 0.001 (0.189)	Loss 5.0330 (5.1006)	Prec@1 3.906 (4.016)	Prec@5 15.625 (14.209)
Epoch: [2][990/7045]	Time 0.193 (0.253)	Data 0.143 (0.189)	Loss 4.9857 (5.1006)	Prec@1 3.906 (4.013)	Prec@5 14.844 (14.204)
Epoch: [2][1000/7045]	Time 0.519 (0.253)	Data 0.467 (0.190)	Loss 5.0490 (5.1006)	Prec@1 4.688 (4.013)	Prec@5 16.406 (14.202)
Epoch: [2][1010/7045]	Time 0.501 (0.253)	Data 0.450 (0.189)	Loss 5.0517 (5.1005)	Prec@1 4.297 (4.009)	Prec@5 17.188 (14.210)
Epoch: [2][1020/7045]	Time 0.196 (0.253)	Data 0.145 (0.189)	Loss 5.3709 (5.1012)	Prec@1 1.953 (3.998)	Prec@5 10.938 (14.195)
Epoch: [2][1030/7045]	Time 0.308 (0.253)	Data 0.257 (0.189)	Loss 5.0984 (5.1015)	Prec@1 3.125 (3.993)	Prec@5 10.547 (14.180)
Epoch: [2][1040/7045]	Time 0.101 (0.253)	Data 0.004 (0.189)	Loss 5.1359 (5.1015)	Prec@1 4.688 (3.990)	Prec@5 16.016 (14.179)
Epoch: [2][1050/7045]	Time 0.328 (0.253)	Data 0.276 (0.189)	Loss 5.0399 (5.1007)	Prec@1 5.469 (3.994)	Prec@5 14.844 (14.191)
Epoch: [2][1060/7045]	Time 0.171 (0.253)	Data 0.120 (0.189)	Loss 5.2877 (5.1005)	Prec@1 2.344 (4.000)	Prec@5 12.500 (14.204)
Epoch: [2][1070/7045]	Time 0.310 (0.253)	Data 0.259 (0.189)	Loss 5.0134 (5.0997)	Prec@1 3.906 (4.007)	Prec@5 17.188 (14.223)
Epoch: [2][1080/7045]	Time 0.117 (0.253)	Data 0.065 (0.189)	Loss 5.0966 (5.0998)	Prec@1 5.078 (4.008)	Prec@5 15.625 (14.229)
Epoch: [2][1090/7045]	Time 0.107 (0.253)	Data 0.056 (0.189)	Loss 5.1521 (5.0997)	Prec@1 3.516 (4.001)	Prec@5 14.062 (14.226)
Epoch: [2][1100/7045]	Time 0.260 (0.253)	Data 0.208 (0.189)	Loss 5.1480 (5.1003)	Prec@1 3.125 (3.995)	Prec@5 14.453 (14.210)
Epoch: [2][1110/7045]	Time 0.107 (0.253)	Data 0.007 (0.189)	Loss 5.0168 (5.1004)	Prec@1 4.297 (3.991)	Prec@5 14.453 (14.201)
Epoch: [2][1120/7045]	Time 0.154 (0.252)	Data 0.102 (0.189)	Loss 5.0348 (5.1001)	Prec@1 3.516 (3.991)	Prec@5 15.234 (14.206)
Epoch: [2][1130/7045]	Time 0.110 (0.252)	Data 0.058 (0.189)	Loss 5.1082 (5.1004)	Prec@1 4.688 (3.991)	Prec@5 17.188 (14.204)
Epoch: [2][1140/7045]	Time 0.102 (0.252)	Data 0.008 (0.189)	Loss 5.1140 (5.1003)	Prec@1 2.344 (3.984)	Prec@5 12.891 (14.197)
Epoch: [2][1150/7045]	Time 0.102 (0.252)	Data 0.002 (0.189)	Loss 5.0408 (5.1005)	Prec@1 3.125 (3.980)	Prec@5 15.625 (14.197)
Epoch: [2][1160/7045]	Time 0.098 (0.252)	Data 0.044 (0.189)	Loss 5.0879 (5.1005)	Prec@1 4.297 (3.980)	Prec@5 17.969 (14.191)
Epoch: [2][1170/7045]	Time 0.100 (0.252)	Data 0.043 (0.189)	Loss 5.0363 (5.1005)	Prec@1 6.641 (3.982)	Prec@5 15.625 (14.189)
Epoch: [2][1180/7045]	Time 0.102 (0.252)	Data 0.001 (0.189)	Loss 4.9753 (5.0997)	Prec@1 4.297 (3.986)	Prec@5 18.359 (14.199)
Epoch: [2][1190/7045]	Time 0.283 (0.252)	Data 0.232 (0.189)	Loss 5.1152 (5.0995)	Prec@1 5.859 (3.989)	Prec@5 12.109 (14.195)
Epoch: [2][1200/7045]	Time 0.102 (0.252)	Data 0.001 (0.189)	Loss 5.1592 (5.0995)	Prec@1 3.125 (3.989)	Prec@5 10.547 (14.192)
Epoch: [2][1210/7045]	Time 0.110 (0.252)	Data 0.001 (0.189)	Loss 5.1767 (5.0997)	Prec@1 5.469 (3.990)	Prec@5 13.281 (14.192)
Epoch: [2][1220/7045]	Time 0.102 (0.252)	Data 0.016 (0.188)	Loss 5.1671 (5.1001)	Prec@1 2.344 (3.986)	Prec@5 10.547 (14.181)
Epoch: [2][1230/7045]	Time 0.107 (0.252)	Data 0.054 (0.189)	Loss 5.3157 (5.1006)	Prec@1 2.734 (3.978)	Prec@5 11.328 (14.169)
Epoch: [2][1240/7045]	Time 0.350 (0.252)	Data 0.300 (0.189)	Loss 5.1793 (5.1005)	Prec@1 2.734 (3.980)	Prec@5 12.891 (14.172)
Epoch: [2][1250/7045]	Time 0.120 (0.252)	Data 0.057 (0.189)	Loss 5.0776 (5.1005)	Prec@1 2.734 (3.977)	Prec@5 14.062 (14.178)
Epoch: [2][1260/7045]	Time 0.670 (0.252)	Data 0.613 (0.189)	Loss 4.9900 (5.1000)	Prec@1 5.859 (3.983)	Prec@5 14.062 (14.183)
Epoch: [2][1270/7045]	Time 0.102 (0.252)	Data 0.001 (0.189)	Loss 5.0588 (5.0999)	Prec@1 2.734 (3.988)	Prec@5 13.672 (14.188)
Epoch: [2][1280/7045]	Time 0.432 (0.252)	Data 0.381 (0.189)	Loss 4.9691 (5.1003)	Prec@1 3.906 (3.988)	Prec@5 14.844 (14.183)
Epoch: [2][1290/7045]	Time 0.103 (0.252)	Data 0.001 (0.188)	Loss 5.1718 (5.1005)	Prec@1 3.125 (3.987)	Prec@5 12.109 (14.176)
Epoch: [2][1300/7045]	Time 0.107 (0.252)	Data 0.019 (0.188)	Loss 5.1929 (5.1005)	Prec@1 2.734 (3.986)	Prec@5 14.062 (14.179)
Epoch: [2][1310/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 5.0058 (5.1005)	Prec@1 4.297 (3.986)	Prec@5 15.625 (14.173)
Epoch: [2][1320/7045]	Time 0.218 (0.252)	Data 0.160 (0.188)	Loss 5.1758 (5.1007)	Prec@1 1.562 (3.983)	Prec@5 12.891 (14.164)
Epoch: [2][1330/7045]	Time 0.102 (0.252)	Data 0.043 (0.188)	Loss 5.1217 (5.1012)	Prec@1 3.906 (3.978)	Prec@5 13.672 (14.153)
Epoch: [2][1340/7045]	Time 0.102 (0.252)	Data 0.008 (0.188)	Loss 5.0626 (5.1013)	Prec@1 3.906 (3.974)	Prec@5 14.844 (14.151)
Epoch: [2][1350/7045]	Time 0.207 (0.252)	Data 0.155 (0.187)	Loss 5.1363 (5.1011)	Prec@1 3.906 (3.974)	Prec@5 13.672 (14.156)
Epoch: [2][1360/7045]	Time 0.124 (0.252)	Data 0.073 (0.188)	Loss 5.0988 (5.1008)	Prec@1 5.078 (3.977)	Prec@5 14.453 (14.161)
Epoch: [2][1370/7045]	Time 0.574 (0.252)	Data 0.512 (0.188)	Loss 5.0426 (5.1012)	Prec@1 5.859 (3.977)	Prec@5 14.844 (14.154)
Epoch: [2][1380/7045]	Time 0.108 (0.252)	Data 0.055 (0.188)	Loss 5.0869 (5.1011)	Prec@1 5.469 (3.976)	Prec@5 16.797 (14.154)
Epoch: [2][1390/7045]	Time 0.608 (0.252)	Data 0.555 (0.188)	Loss 5.0865 (5.1012)	Prec@1 1.953 (3.971)	Prec@5 11.328 (14.152)
Epoch: [2][1400/7045]	Time 0.101 (0.252)	Data 0.043 (0.188)	Loss 5.2026 (5.1011)	Prec@1 3.906 (3.970)	Prec@5 12.891 (14.154)
Epoch: [2][1410/7045]	Time 0.344 (0.252)	Data 0.292 (0.188)	Loss 5.0788 (5.1013)	Prec@1 2.734 (3.973)	Prec@5 16.016 (14.151)
Epoch: [2][1420/7045]	Time 0.110 (0.252)	Data 0.044 (0.188)	Loss 5.1226 (5.1014)	Prec@1 4.297 (3.973)	Prec@5 14.062 (14.148)
Epoch: [2][1430/7045]	Time 0.478 (0.252)	Data 0.426 (0.188)	Loss 4.9967 (5.1014)	Prec@1 5.078 (3.972)	Prec@5 17.578 (14.150)
Epoch: [2][1440/7045]	Time 0.151 (0.252)	Data 0.099 (0.188)	Loss 5.0070 (5.1010)	Prec@1 6.641 (3.984)	Prec@5 14.453 (14.163)
Epoch: [2][1450/7045]	Time 0.309 (0.252)	Data 0.253 (0.188)	Loss 5.0688 (5.1008)	Prec@1 4.297 (3.984)	Prec@5 14.453 (14.163)
Epoch: [2][1460/7045]	Time 0.102 (0.252)	Data 0.015 (0.188)	Loss 5.1366 (5.1012)	Prec@1 3.125 (3.981)	Prec@5 12.109 (14.148)
Epoch: [2][1470/7045]	Time 0.136 (0.252)	Data 0.084 (0.188)	Loss 5.0904 (5.1014)	Prec@1 4.688 (3.979)	Prec@5 15.234 (14.148)
Epoch: [2][1480/7045]	Time 0.306 (0.252)	Data 0.254 (0.188)	Loss 5.2351 (5.1014)	Prec@1 4.688 (3.980)	Prec@5 12.109 (14.145)
Epoch: [2][1490/7045]	Time 0.133 (0.252)	Data 0.071 (0.188)	Loss 4.9876 (5.1014)	Prec@1 3.906 (3.976)	Prec@5 12.109 (14.142)
Epoch: [2][1500/7045]	Time 0.633 (0.252)	Data 0.582 (0.188)	Loss 5.2302 (5.1017)	Prec@1 1.953 (3.976)	Prec@5 10.547 (14.129)
Epoch: [2][1510/7045]	Time 0.104 (0.252)	Data 0.046 (0.188)	Loss 5.0963 (5.1015)	Prec@1 4.297 (3.976)	Prec@5 14.453 (14.132)
Epoch: [2][1520/7045]	Time 0.585 (0.252)	Data 0.526 (0.188)	Loss 5.0387 (5.1013)	Prec@1 2.344 (3.980)	Prec@5 14.453 (14.140)
Epoch: [2][1530/7045]	Time 0.113 (0.251)	Data 0.017 (0.187)	Loss 4.9912 (5.1008)	Prec@1 5.859 (3.986)	Prec@5 14.844 (14.144)
Epoch: [2][1540/7045]	Time 0.509 (0.251)	Data 0.458 (0.187)	Loss 5.1676 (5.1010)	Prec@1 1.953 (3.985)	Prec@5 10.938 (14.141)
Epoch: [2][1550/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 5.0494 (5.1011)	Prec@1 4.688 (3.985)	Prec@5 17.188 (14.147)
Epoch: [2][1560/7045]	Time 0.463 (0.251)	Data 0.411 (0.187)	Loss 5.1442 (5.1007)	Prec@1 5.469 (3.992)	Prec@5 14.844 (14.156)
Epoch: [2][1570/7045]	Time 0.167 (0.251)	Data 0.115 (0.187)	Loss 5.0585 (5.1004)	Prec@1 4.297 (3.996)	Prec@5 14.844 (14.164)
Epoch: [2][1580/7045]	Time 0.168 (0.251)	Data 0.117 (0.187)	Loss 5.2538 (5.1008)	Prec@1 3.125 (3.996)	Prec@5 12.109 (14.163)
Epoch: [2][1590/7045]	Time 0.153 (0.251)	Data 0.103 (0.187)	Loss 5.0928 (5.1009)	Prec@1 5.078 (3.995)	Prec@5 12.109 (14.158)
Epoch: [2][1600/7045]	Time 0.103 (0.251)	Data 0.001 (0.187)	Loss 5.0829 (5.1010)	Prec@1 3.906 (3.990)	Prec@5 15.625 (14.156)
Epoch: [2][1610/7045]	Time 0.381 (0.251)	Data 0.325 (0.187)	Loss 5.2244 (5.1012)	Prec@1 3.516 (3.989)	Prec@5 12.500 (14.151)
Epoch: [2][1620/7045]	Time 0.101 (0.251)	Data 0.002 (0.187)	Loss 5.2425 (5.1012)	Prec@1 4.297 (3.990)	Prec@5 14.453 (14.153)
Epoch: [2][1630/7045]	Time 0.368 (0.251)	Data 0.316 (0.187)	Loss 5.1485 (5.1013)	Prec@1 4.297 (3.994)	Prec@5 10.938 (14.150)
Epoch: [2][1640/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 5.2100 (5.1016)	Prec@1 2.344 (3.989)	Prec@5 8.984 (14.144)
Epoch: [2][1650/7045]	Time 0.242 (0.251)	Data 0.192 (0.187)	Loss 5.2698 (5.1019)	Prec@1 5.859 (3.987)	Prec@5 12.891 (14.140)
Epoch: [2][1660/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 5.2533 (5.1024)	Prec@1 2.344 (3.982)	Prec@5 10.547 (14.128)
Epoch: [2][1670/7045]	Time 0.225 (0.251)	Data 0.166 (0.187)	Loss 5.1784 (5.1028)	Prec@1 3.125 (3.980)	Prec@5 13.672 (14.128)
Epoch: [2][1680/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 5.1646 (5.1030)	Prec@1 2.344 (3.975)	Prec@5 10.156 (14.123)
Epoch: [2][1690/7045]	Time 0.435 (0.251)	Data 0.383 (0.187)	Loss 5.1514 (5.1031)	Prec@1 3.906 (3.974)	Prec@5 11.719 (14.121)
Epoch: [2][1700/7045]	Time 0.112 (0.251)	Data 0.001 (0.187)	Loss 5.1034 (5.1031)	Prec@1 3.906 (3.974)	Prec@5 14.844 (14.124)
Epoch: [2][1710/7045]	Time 0.682 (0.251)	Data 0.631 (0.187)	Loss 5.0639 (5.1029)	Prec@1 3.125 (3.971)	Prec@5 13.281 (14.123)
Epoch: [2][1720/7045]	Time 0.112 (0.251)	Data 0.053 (0.187)	Loss 5.0710 (5.1028)	Prec@1 3.906 (3.971)	Prec@5 13.672 (14.128)
Epoch: [2][1730/7045]	Time 0.488 (0.251)	Data 0.437 (0.187)	Loss 5.0394 (5.1025)	Prec@1 3.516 (3.973)	Prec@5 13.672 (14.137)
Epoch: [2][1740/7045]	Time 0.101 (0.251)	Data 0.048 (0.187)	Loss 5.1545 (5.1023)	Prec@1 3.516 (3.974)	Prec@5 14.844 (14.141)
Epoch: [2][1750/7045]	Time 0.421 (0.251)	Data 0.370 (0.187)	Loss 4.9862 (5.1023)	Prec@1 5.859 (3.975)	Prec@5 17.188 (14.142)
Epoch: [2][1760/7045]	Time 0.121 (0.251)	Data 0.069 (0.187)	Loss 5.2784 (5.1023)	Prec@1 2.344 (3.972)	Prec@5 10.547 (14.137)
Epoch: [2][1770/7045]	Time 0.185 (0.251)	Data 0.133 (0.187)	Loss 5.1216 (5.1023)	Prec@1 5.469 (3.970)	Prec@5 14.453 (14.134)
Epoch: [2][1780/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 5.0721 (5.1023)	Prec@1 3.906 (3.970)	Prec@5 14.844 (14.132)
Epoch: [2][1790/7045]	Time 0.108 (0.251)	Data 0.046 (0.187)	Loss 5.2064 (5.1022)	Prec@1 3.906 (3.974)	Prec@5 11.328 (14.138)
Epoch: [2][1800/7045]	Time 0.145 (0.251)	Data 0.093 (0.186)	Loss 5.1192 (5.1021)	Prec@1 2.344 (3.971)	Prec@5 10.938 (14.131)
Epoch: [2][1810/7045]	Time 0.105 (0.251)	Data 0.054 (0.187)	Loss 5.1895 (5.1022)	Prec@1 3.516 (3.971)	Prec@5 14.062 (14.130)
Epoch: [2][1820/7045]	Time 0.146 (0.251)	Data 0.095 (0.186)	Loss 4.9969 (5.1022)	Prec@1 5.078 (3.971)	Prec@5 17.578 (14.130)
Epoch: [2][1830/7045]	Time 0.104 (0.251)	Data 0.053 (0.187)	Loss 5.0565 (5.1022)	Prec@1 4.297 (3.971)	Prec@5 14.844 (14.129)
Epoch: [2][1840/7045]	Time 0.190 (0.251)	Data 0.140 (0.186)	Loss 5.2141 (5.1022)	Prec@1 3.125 (3.970)	Prec@5 11.328 (14.124)
Epoch: [2][1850/7045]	Time 0.102 (0.251)	Data 0.048 (0.186)	Loss 5.1908 (5.1021)	Prec@1 3.125 (3.971)	Prec@5 11.719 (14.130)
Epoch: [2][1860/7045]	Time 0.101 (0.251)	Data 0.001 (0.186)	Loss 5.1381 (5.1022)	Prec@1 3.125 (3.970)	Prec@5 14.453 (14.137)
Epoch: [2][1870/7045]	Time 0.102 (0.251)	Data 0.006 (0.186)	Loss 5.1782 (5.1024)	Prec@1 2.344 (3.968)	Prec@5 13.672 (14.137)
Epoch: [2][1880/7045]	Time 0.437 (0.251)	Data 0.386 (0.186)	Loss 5.1584 (5.1023)	Prec@1 3.906 (3.969)	Prec@5 13.672 (14.139)
Epoch: [2][1890/7045]	Time 0.111 (0.251)	Data 0.001 (0.186)	Loss 5.1458 (5.1024)	Prec@1 3.516 (3.969)	Prec@5 13.281 (14.135)
Epoch: [2][1900/7045]	Time 0.536 (0.251)	Data 0.483 (0.186)	Loss 5.0996 (5.1022)	Prec@1 4.688 (3.973)	Prec@5 16.797 (14.140)
Epoch: [2][1910/7045]	Time 0.102 (0.251)	Data 0.008 (0.186)	Loss 5.1720 (5.1025)	Prec@1 3.516 (3.972)	Prec@5 14.844 (14.137)
Epoch: [2][1920/7045]	Time 0.435 (0.251)	Data 0.385 (0.186)	Loss 5.1771 (5.1025)	Prec@1 2.734 (3.973)	Prec@5 15.625 (14.141)
Epoch: [2][1930/7045]	Time 0.121 (0.251)	Data 0.069 (0.186)	Loss 5.1719 (5.1029)	Prec@1 2.344 (3.971)	Prec@5 11.328 (14.137)
Epoch: [2][1940/7045]	Time 0.100 (0.251)	Data 0.048 (0.186)	Loss 5.0513 (5.1029)	Prec@1 5.078 (3.971)	Prec@5 16.016 (14.135)
Epoch: [2][1950/7045]	Time 0.214 (0.251)	Data 0.162 (0.186)	Loss 5.1745 (5.1029)	Prec@1 3.906 (3.971)	Prec@5 12.500 (14.133)
Epoch: [2][1960/7045]	Time 0.278 (0.251)	Data 0.226 (0.187)	Loss 5.0915 (5.1027)	Prec@1 4.688 (3.973)	Prec@5 19.141 (14.141)
Epoch: [2][1970/7045]	Time 0.102 (0.251)	Data 0.001 (0.186)	Loss 5.0713 (5.1029)	Prec@1 3.125 (3.973)	Prec@5 12.891 (14.135)
Epoch: [2][1980/7045]	Time 0.107 (0.251)	Data 0.032 (0.186)	Loss 5.2294 (5.1033)	Prec@1 1.953 (3.968)	Prec@5 12.891 (14.124)
Epoch: [2][1990/7045]	Time 0.176 (0.251)	Data 0.125 (0.186)	Loss 5.1823 (5.1036)	Prec@1 5.469 (3.966)	Prec@5 15.234 (14.118)
Epoch: [2][2000/7045]	Time 0.102 (0.251)	Data 0.048 (0.186)	Loss 5.1743 (5.1040)	Prec@1 2.734 (3.962)	Prec@5 12.500 (14.115)
Epoch: [2][2010/7045]	Time 0.113 (0.251)	Data 0.060 (0.186)	Loss 5.2676 (5.1042)	Prec@1 2.734 (3.959)	Prec@5 12.109 (14.109)
Epoch: [2][2020/7045]	Time 0.434 (0.251)	Data 0.383 (0.186)	Loss 5.1082 (5.1040)	Prec@1 3.906 (3.960)	Prec@5 12.500 (14.112)
Epoch: [2][2030/7045]	Time 0.163 (0.251)	Data 0.112 (0.186)	Loss 5.1548 (5.1040)	Prec@1 3.516 (3.959)	Prec@5 14.453 (14.112)
Epoch: [2][2040/7045]	Time 0.293 (0.251)	Data 0.241 (0.186)	Loss 5.0917 (5.1042)	Prec@1 1.953 (3.960)	Prec@5 16.797 (14.113)
Epoch: [2][2050/7045]	Time 0.363 (0.251)	Data 0.311 (0.186)	Loss 5.1209 (5.1040)	Prec@1 2.734 (3.961)	Prec@5 9.766 (14.112)
Epoch: [2][2060/7045]	Time 0.115 (0.251)	Data 0.055 (0.186)	Loss 5.2180 (5.1043)	Prec@1 1.953 (3.961)	Prec@5 10.156 (14.107)
Epoch: [2][2070/7045]	Time 0.444 (0.251)	Data 0.383 (0.186)	Loss 5.1306 (5.1044)	Prec@1 4.688 (3.960)	Prec@5 15.625 (14.104)
Epoch: [2][2080/7045]	Time 0.101 (0.251)	Data 0.001 (0.186)	Loss 5.0688 (5.1046)	Prec@1 2.344 (3.959)	Prec@5 16.406 (14.102)
Epoch: [2][2090/7045]	Time 0.516 (0.251)	Data 0.463 (0.186)	Loss 5.2220 (5.1046)	Prec@1 2.344 (3.959)	Prec@5 13.281 (14.102)
Epoch: [2][2100/7045]	Time 0.106 (0.251)	Data 0.054 (0.186)	Loss 5.1083 (5.1046)	Prec@1 5.859 (3.964)	Prec@5 15.234 (14.106)
Epoch: [2][2110/7045]	Time 0.117 (0.251)	Data 0.063 (0.186)	Loss 5.0417 (5.1043)	Prec@1 6.250 (3.967)	Prec@5 14.453 (14.107)
Epoch: [2][2120/7045]	Time 0.142 (0.251)	Data 0.091 (0.186)	Loss 5.1288 (5.1045)	Prec@1 3.906 (3.967)	Prec@5 15.234 (14.106)
Epoch: [2][2130/7045]	Time 0.151 (0.251)	Data 0.094 (0.186)	Loss 5.0093 (5.1045)	Prec@1 5.078 (3.966)	Prec@5 17.578 (14.105)
Epoch: [2][2140/7045]	Time 0.293 (0.251)	Data 0.242 (0.186)	Loss 5.2111 (5.1044)	Prec@1 3.516 (3.965)	Prec@5 11.328 (14.110)
Epoch: [2][2150/7045]	Time 0.417 (0.251)	Data 0.361 (0.186)	Loss 5.2544 (5.1044)	Prec@1 3.125 (3.965)	Prec@5 11.328 (14.110)
Epoch: [2][2160/7045]	Time 0.312 (0.251)	Data 0.262 (0.186)	Loss 5.1185 (5.1045)	Prec@1 2.344 (3.963)	Prec@5 12.891 (14.110)
Epoch: [2][2170/7045]	Time 0.269 (0.251)	Data 0.218 (0.186)	Loss 5.1654 (5.1046)	Prec@1 6.641 (3.964)	Prec@5 11.719 (14.107)
Epoch: [2][2180/7045]	Time 0.213 (0.251)	Data 0.162 (0.186)	Loss 5.0439 (5.1045)	Prec@1 3.516 (3.964)	Prec@5 13.672 (14.105)
Epoch: [2][2190/7045]	Time 0.109 (0.251)	Data 0.057 (0.186)	Loss 4.9325 (5.1042)	Prec@1 3.516 (3.962)	Prec@5 17.578 (14.107)
Epoch: [2][2200/7045]	Time 0.102 (0.251)	Data 0.049 (0.186)	Loss 5.0619 (5.1042)	Prec@1 3.125 (3.962)	Prec@5 12.891 (14.108)
Epoch: [2][2210/7045]	Time 0.201 (0.251)	Data 0.150 (0.187)	Loss 5.0662 (5.1041)	Prec@1 4.688 (3.962)	Prec@5 12.109 (14.109)
Epoch: [2][2220/7045]	Time 0.101 (0.251)	Data 0.010 (0.187)	Loss 5.1276 (5.1041)	Prec@1 2.734 (3.960)	Prec@5 15.625 (14.109)
Epoch: [2][2230/7045]	Time 0.427 (0.251)	Data 0.376 (0.187)	Loss 5.0070 (5.1040)	Prec@1 4.297 (3.961)	Prec@5 14.844 (14.106)
Epoch: [2][2240/7045]	Time 0.219 (0.251)	Data 0.169 (0.187)	Loss 5.1467 (5.1039)	Prec@1 4.688 (3.962)	Prec@5 14.844 (14.113)
Epoch: [2][2250/7045]	Time 0.638 (0.251)	Data 0.587 (0.187)	Loss 5.0881 (5.1035)	Prec@1 4.297 (3.964)	Prec@5 14.062 (14.122)
Epoch: [2][2260/7045]	Time 0.255 (0.251)	Data 0.204 (0.187)	Loss 5.1004 (5.1035)	Prec@1 5.078 (3.967)	Prec@5 13.672 (14.125)
Epoch: [2][2270/7045]	Time 0.511 (0.251)	Data 0.460 (0.187)	Loss 5.1488 (5.1035)	Prec@1 3.125 (3.971)	Prec@5 13.281 (14.130)
Epoch: [2][2280/7045]	Time 0.193 (0.251)	Data 0.142 (0.187)	Loss 5.2553 (5.1037)	Prec@1 2.344 (3.968)	Prec@5 10.938 (14.123)
Epoch: [2][2290/7045]	Time 0.471 (0.251)	Data 0.421 (0.187)	Loss 5.0523 (5.1038)	Prec@1 5.859 (3.969)	Prec@5 14.453 (14.121)
Epoch: [2][2300/7045]	Time 0.103 (0.251)	Data 0.049 (0.187)	Loss 5.1626 (5.1040)	Prec@1 3.906 (3.964)	Prec@5 14.062 (14.114)
Epoch: [2][2310/7045]	Time 0.507 (0.251)	Data 0.448 (0.187)	Loss 5.2463 (5.1043)	Prec@1 3.125 (3.963)	Prec@5 12.891 (14.108)
Epoch: [2][2320/7045]	Time 0.476 (0.251)	Data 0.424 (0.187)	Loss 5.2277 (5.1045)	Prec@1 2.734 (3.961)	Prec@5 12.891 (14.101)
Epoch: [2][2330/7045]	Time 0.154 (0.251)	Data 0.102 (0.187)	Loss 5.2252 (5.1048)	Prec@1 2.734 (3.957)	Prec@5 11.328 (14.095)
Epoch: [2][2340/7045]	Time 0.576 (0.251)	Data 0.518 (0.187)	Loss 5.0911 (5.1049)	Prec@1 4.688 (3.957)	Prec@5 17.188 (14.094)
Epoch: [2][2350/7045]	Time 0.103 (0.251)	Data 0.003 (0.187)	Loss 5.0722 (5.1048)	Prec@1 4.688 (3.956)	Prec@5 14.453 (14.097)
Epoch: [2][2360/7045]	Time 0.465 (0.251)	Data 0.413 (0.187)	Loss 5.0203 (5.1046)	Prec@1 2.734 (3.955)	Prec@5 14.062 (14.100)
Epoch: [2][2370/7045]	Time 0.306 (0.251)	Data 0.255 (0.187)	Loss 5.1966 (5.1047)	Prec@1 4.297 (3.953)	Prec@5 14.844 (14.097)
Epoch: [2][2380/7045]	Time 0.454 (0.251)	Data 0.396 (0.187)	Loss 5.1401 (5.1047)	Prec@1 2.344 (3.952)	Prec@5 11.328 (14.097)
Epoch: [2][2390/7045]	Time 0.289 (0.251)	Data 0.238 (0.187)	Loss 5.2712 (5.1047)	Prec@1 2.344 (3.952)	Prec@5 10.547 (14.091)
Epoch: [2][2400/7045]	Time 0.180 (0.251)	Data 0.128 (0.187)	Loss 5.0516 (5.1045)	Prec@1 5.469 (3.953)	Prec@5 18.359 (14.100)
Epoch: [2][2410/7045]	Time 0.267 (0.251)	Data 0.217 (0.187)	Loss 5.0382 (5.1045)	Prec@1 3.516 (3.952)	Prec@5 14.062 (14.102)
Epoch: [2][2420/7045]	Time 0.273 (0.251)	Data 0.222 (0.187)	Loss 4.9576 (5.1045)	Prec@1 5.859 (3.952)	Prec@5 19.922 (14.104)
Epoch: [2][2430/7045]	Time 0.209 (0.251)	Data 0.157 (0.187)	Loss 4.9635 (5.1042)	Prec@1 4.688 (3.957)	Prec@5 17.969 (14.110)
Epoch: [2][2440/7045]	Time 0.393 (0.251)	Data 0.341 (0.187)	Loss 5.0582 (5.1040)	Prec@1 6.641 (3.959)	Prec@5 13.672 (14.106)
Epoch: [2][2450/7045]	Time 0.106 (0.251)	Data 0.053 (0.187)	Loss 5.2038 (5.1041)	Prec@1 3.516 (3.958)	Prec@5 13.281 (14.107)
Epoch: [2][2460/7045]	Time 0.624 (0.251)	Data 0.568 (0.187)	Loss 5.1587 (5.1045)	Prec@1 1.172 (3.954)	Prec@5 12.891 (14.099)
Epoch: [2][2470/7045]	Time 0.099 (0.251)	Data 0.001 (0.187)	Loss 5.0920 (5.1047)	Prec@1 1.953 (3.950)	Prec@5 13.672 (14.094)
Epoch: [2][2480/7045]	Time 0.671 (0.251)	Data 0.620 (0.187)	Loss 5.1098 (5.1048)	Prec@1 3.516 (3.947)	Prec@5 13.672 (14.092)
Epoch: [2][2490/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 5.1207 (5.1048)	Prec@1 3.906 (3.946)	Prec@5 12.891 (14.087)
Epoch: [2][2500/7045]	Time 0.346 (0.251)	Data 0.296 (0.187)	Loss 5.1467 (5.1046)	Prec@1 3.125 (3.944)	Prec@5 12.109 (14.087)
Epoch: [2][2510/7045]	Time 0.102 (0.251)	Data 0.014 (0.187)	Loss 5.1473 (5.1044)	Prec@1 5.859 (3.945)	Prec@5 12.891 (14.089)
Epoch: [2][2520/7045]	Time 0.102 (0.251)	Data 0.008 (0.187)	Loss 5.0287 (5.1042)	Prec@1 7.031 (3.949)	Prec@5 16.797 (14.092)
Epoch: [2][2530/7045]	Time 0.288 (0.251)	Data 0.237 (0.187)	Loss 5.1881 (5.1042)	Prec@1 2.734 (3.949)	Prec@5 13.672 (14.094)
Epoch: [2][2540/7045]	Time 0.179 (0.251)	Data 0.119 (0.187)	Loss 5.2871 (5.1041)	Prec@1 3.125 (3.949)	Prec@5 10.547 (14.095)
Epoch: [2][2550/7045]	Time 0.601 (0.251)	Data 0.550 (0.187)	Loss 5.0722 (5.1039)	Prec@1 5.859 (3.951)	Prec@5 16.797 (14.098)
Epoch: [2][2560/7045]	Time 0.109 (0.251)	Data 0.001 (0.187)	Loss 4.9896 (5.1039)	Prec@1 3.516 (3.952)	Prec@5 14.844 (14.098)
Epoch: [2][2570/7045]	Time 0.631 (0.251)	Data 0.579 (0.187)	Loss 5.1194 (5.1038)	Prec@1 4.297 (3.952)	Prec@5 14.062 (14.100)
Epoch: [2][2580/7045]	Time 0.101 (0.251)	Data 0.045 (0.187)	Loss 4.9956 (5.1038)	Prec@1 4.297 (3.951)	Prec@5 14.062 (14.098)
Epoch: [2][2590/7045]	Time 0.347 (0.251)	Data 0.295 (0.187)	Loss 5.0575 (5.1038)	Prec@1 4.297 (3.952)	Prec@5 15.625 (14.100)
Epoch: [2][2600/7045]	Time 0.100 (0.251)	Data 0.004 (0.187)	Loss 4.9889 (5.1037)	Prec@1 5.078 (3.954)	Prec@5 18.359 (14.105)
Epoch: [2][2610/7045]	Time 0.215 (0.251)	Data 0.164 (0.187)	Loss 5.0839 (5.1036)	Prec@1 1.562 (3.952)	Prec@5 14.844 (14.103)
Epoch: [2][2620/7045]	Time 0.101 (0.251)	Data 0.045 (0.187)	Loss 5.0650 (5.1036)	Prec@1 4.297 (3.951)	Prec@5 13.281 (14.100)
Epoch: [2][2630/7045]	Time 0.165 (0.251)	Data 0.105 (0.187)	Loss 5.2085 (5.1036)	Prec@1 3.906 (3.951)	Prec@5 14.844 (14.101)
Epoch: [2][2640/7045]	Time 0.592 (0.251)	Data 0.540 (0.187)	Loss 5.0107 (5.1036)	Prec@1 3.516 (3.952)	Prec@5 14.844 (14.101)
Epoch: [2][2650/7045]	Time 0.101 (0.251)	Data 0.014 (0.187)	Loss 5.0374 (5.1034)	Prec@1 2.344 (3.953)	Prec@5 16.797 (14.108)
Epoch: [2][2660/7045]	Time 0.414 (0.251)	Data 0.364 (0.187)	Loss 5.2941 (5.1035)	Prec@1 5.078 (3.954)	Prec@5 11.328 (14.107)
Epoch: [2][2670/7045]	Time 0.297 (0.251)	Data 0.245 (0.187)	Loss 5.2026 (5.1038)	Prec@1 1.953 (3.955)	Prec@5 13.281 (14.107)
Epoch: [2][2680/7045]	Time 0.099 (0.251)	Data 0.002 (0.187)	Loss 5.2158 (5.1040)	Prec@1 3.125 (3.954)	Prec@5 12.109 (14.106)
Epoch: [2][2690/7045]	Time 0.347 (0.251)	Data 0.295 (0.187)	Loss 5.0245 (5.1039)	Prec@1 3.906 (3.954)	Prec@5 16.406 (14.107)
Epoch: [2][2700/7045]	Time 0.103 (0.251)	Data 0.001 (0.187)	Loss 5.1309 (5.1039)	Prec@1 6.250 (3.956)	Prec@5 17.188 (14.109)
Epoch: [2][2710/7045]	Time 0.414 (0.251)	Data 0.364 (0.187)	Loss 5.0688 (5.1039)	Prec@1 4.297 (3.956)	Prec@5 15.234 (14.111)
Epoch: [2][2720/7045]	Time 0.166 (0.251)	Data 0.116 (0.187)	Loss 4.9395 (5.1039)	Prec@1 6.250 (3.958)	Prec@5 16.016 (14.110)
Epoch: [2][2730/7045]	Time 0.366 (0.251)	Data 0.307 (0.187)	Loss 4.9969 (5.1038)	Prec@1 5.078 (3.959)	Prec@5 16.797 (14.112)
Epoch: [2][2740/7045]	Time 0.466 (0.251)	Data 0.414 (0.187)	Loss 5.0340 (5.1037)	Prec@1 3.516 (3.959)	Prec@5 13.281 (14.113)
Epoch: [2][2750/7045]	Time 0.235 (0.251)	Data 0.183 (0.187)	Loss 5.0034 (5.1035)	Prec@1 4.297 (3.960)	Prec@5 13.672 (14.117)
Epoch: [2][2760/7045]	Time 0.585 (0.251)	Data 0.534 (0.187)	Loss 5.1194 (5.1034)	Prec@1 5.469 (3.961)	Prec@5 15.234 (14.119)
Epoch: [2][2770/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 4.9403 (5.1035)	Prec@1 5.469 (3.965)	Prec@5 17.578 (14.118)
Epoch: [2][2780/7045]	Time 0.579 (0.251)	Data 0.527 (0.187)	Loss 4.9775 (5.1034)	Prec@1 5.859 (3.966)	Prec@5 18.359 (14.120)
Epoch: [2][2790/7045]	Time 0.102 (0.251)	Data 0.013 (0.187)	Loss 5.1067 (5.1032)	Prec@1 4.688 (3.967)	Prec@5 14.062 (14.121)
Epoch: [2][2800/7045]	Time 0.498 (0.251)	Data 0.448 (0.187)	Loss 4.9884 (5.1031)	Prec@1 5.078 (3.969)	Prec@5 16.406 (14.122)
Epoch: [2][2810/7045]	Time 0.441 (0.251)	Data 0.385 (0.187)	Loss 5.1044 (5.1030)	Prec@1 3.906 (3.969)	Prec@5 12.500 (14.126)
Epoch: [2][2820/7045]	Time 0.282 (0.251)	Data 0.230 (0.187)	Loss 4.9495 (5.1028)	Prec@1 5.859 (3.970)	Prec@5 18.750 (14.128)
Epoch: [2][2830/7045]	Time 0.229 (0.251)	Data 0.178 (0.187)	Loss 5.0563 (5.1027)	Prec@1 3.516 (3.972)	Prec@5 14.844 (14.130)
Epoch: [2][2840/7045]	Time 0.112 (0.251)	Data 0.060 (0.187)	Loss 5.1271 (5.1027)	Prec@1 3.125 (3.971)	Prec@5 11.328 (14.130)
Epoch: [2][2850/7045]	Time 0.372 (0.251)	Data 0.321 (0.187)	Loss 5.1407 (5.1028)	Prec@1 1.953 (3.971)	Prec@5 13.672 (14.130)
Epoch: [2][2860/7045]	Time 0.211 (0.251)	Data 0.152 (0.187)	Loss 5.0728 (5.1029)	Prec@1 3.516 (3.969)	Prec@5 14.062 (14.126)
Epoch: [2][2870/7045]	Time 0.240 (0.251)	Data 0.186 (0.187)	Loss 5.0329 (5.1030)	Prec@1 5.469 (3.968)	Prec@5 13.281 (14.122)
Epoch: [2][2880/7045]	Time 0.262 (0.251)	Data 0.211 (0.187)	Loss 5.1033 (5.1029)	Prec@1 5.469 (3.970)	Prec@5 16.797 (14.124)
Epoch: [2][2890/7045]	Time 0.123 (0.251)	Data 0.072 (0.187)	Loss 5.1227 (5.1029)	Prec@1 5.078 (3.969)	Prec@5 16.406 (14.123)
Epoch: [2][2900/7045]	Time 0.449 (0.251)	Data 0.399 (0.187)	Loss 5.0369 (5.1030)	Prec@1 4.688 (3.969)	Prec@5 14.453 (14.118)
Epoch: [2][2910/7045]	Time 0.099 (0.251)	Data 0.017 (0.187)	Loss 5.1508 (5.1031)	Prec@1 2.344 (3.969)	Prec@5 12.500 (14.120)
Epoch: [2][2920/7045]	Time 0.379 (0.251)	Data 0.327 (0.187)	Loss 5.0365 (5.1030)	Prec@1 3.516 (3.968)	Prec@5 14.453 (14.119)
Epoch: [2][2930/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 5.1925 (5.1030)	Prec@1 3.906 (3.968)	Prec@5 14.453 (14.119)
Epoch: [2][2940/7045]	Time 0.512 (0.251)	Data 0.461 (0.187)	Loss 4.9807 (5.1028)	Prec@1 5.078 (3.969)	Prec@5 15.234 (14.121)
Epoch: [2][2950/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 5.1199 (5.1031)	Prec@1 3.125 (3.967)	Prec@5 12.109 (14.117)
Epoch: [2][2960/7045]	Time 0.272 (0.251)	Data 0.215 (0.187)	Loss 5.1479 (5.1032)	Prec@1 4.688 (3.967)	Prec@5 12.500 (14.119)
Epoch: [2][2970/7045]	Time 0.217 (0.251)	Data 0.166 (0.187)	Loss 5.1069 (5.1029)	Prec@1 3.906 (3.968)	Prec@5 12.109 (14.121)
Epoch: [2][2980/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 5.2818 (5.1032)	Prec@1 2.734 (3.967)	Prec@5 10.938 (14.122)
Epoch: [2][2990/7045]	Time 0.181 (0.251)	Data 0.129 (0.187)	Loss 5.0973 (5.1032)	Prec@1 5.469 (3.966)	Prec@5 14.062 (14.121)
Epoch: [2][3000/7045]	Time 0.215 (0.251)	Data 0.163 (0.187)	Loss 5.0989 (5.1030)	Prec@1 4.688 (3.968)	Prec@5 16.406 (14.123)
Epoch: [2][3010/7045]	Time 0.133 (0.251)	Data 0.082 (0.187)	Loss 5.1810 (5.1029)	Prec@1 3.125 (3.967)	Prec@5 14.844 (14.127)
Epoch: [2][3020/7045]	Time 0.281 (0.251)	Data 0.230 (0.187)	Loss 4.9902 (5.1026)	Prec@1 4.688 (3.967)	Prec@5 15.625 (14.132)
Epoch: [2][3030/7045]	Time 0.353 (0.251)	Data 0.302 (0.187)	Loss 5.1131 (5.1027)	Prec@1 4.297 (3.967)	Prec@5 13.672 (14.130)
Epoch: [2][3040/7045]	Time 0.110 (0.251)	Data 0.001 (0.187)	Loss 5.0379 (5.1026)	Prec@1 1.953 (3.967)	Prec@5 11.719 (14.131)
Epoch: [2][3050/7045]	Time 0.443 (0.251)	Data 0.393 (0.187)	Loss 5.0846 (5.1024)	Prec@1 3.906 (3.968)	Prec@5 13.672 (14.132)
Epoch: [2][3060/7045]	Time 0.432 (0.251)	Data 0.381 (0.187)	Loss 5.1493 (5.1022)	Prec@1 3.906 (3.970)	Prec@5 16.016 (14.135)
Epoch: [2][3070/7045]	Time 0.386 (0.251)	Data 0.335 (0.187)	Loss 5.1085 (5.1022)	Prec@1 5.078 (3.969)	Prec@5 17.188 (14.139)
Epoch: [2][3080/7045]	Time 0.317 (0.251)	Data 0.267 (0.187)	Loss 5.0370 (5.1022)	Prec@1 6.641 (3.970)	Prec@5 15.625 (14.140)
Epoch: [2][3090/7045]	Time 0.130 (0.251)	Data 0.079 (0.187)	Loss 5.1938 (5.1022)	Prec@1 3.516 (3.970)	Prec@5 15.234 (14.142)
Epoch: [2][3100/7045]	Time 0.437 (0.251)	Data 0.386 (0.187)	Loss 5.1515 (5.1020)	Prec@1 2.734 (3.971)	Prec@5 11.719 (14.145)
Epoch: [2][3110/7045]	Time 0.103 (0.251)	Data 0.051 (0.187)	Loss 5.1484 (5.1020)	Prec@1 2.344 (3.971)	Prec@5 13.672 (14.147)
Epoch: [2][3120/7045]	Time 0.450 (0.251)	Data 0.399 (0.187)	Loss 5.1239 (5.1022)	Prec@1 5.078 (3.968)	Prec@5 14.844 (14.143)
Epoch: [2][3130/7045]	Time 0.108 (0.251)	Data 0.020 (0.187)	Loss 5.0842 (5.1021)	Prec@1 2.734 (3.970)	Prec@5 14.453 (14.142)
Epoch: [2][3140/7045]	Time 0.450 (0.251)	Data 0.400 (0.187)	Loss 5.2204 (5.1022)	Prec@1 2.344 (3.971)	Prec@5 11.328 (14.140)
Epoch: [2][3150/7045]	Time 0.121 (0.251)	Data 0.068 (0.187)	Loss 5.1091 (5.1022)	Prec@1 4.688 (3.974)	Prec@5 16.406 (14.141)
Epoch: [2][3160/7045]	Time 0.378 (0.251)	Data 0.318 (0.187)	Loss 5.0880 (5.1021)	Prec@1 4.297 (3.972)	Prec@5 16.406 (14.142)
Epoch: [2][3170/7045]	Time 0.373 (0.251)	Data 0.321 (0.187)	Loss 5.1395 (5.1021)	Prec@1 3.516 (3.972)	Prec@5 12.109 (14.140)
Epoch: [2][3180/7045]	Time 0.381 (0.251)	Data 0.330 (0.187)	Loss 5.1160 (5.1019)	Prec@1 4.297 (3.970)	Prec@5 15.625 (14.140)
Epoch: [2][3190/7045]	Time 0.222 (0.251)	Data 0.171 (0.187)	Loss 4.9500 (5.1017)	Prec@1 6.641 (3.972)	Prec@5 14.062 (14.140)
Epoch: [2][3200/7045]	Time 0.270 (0.251)	Data 0.210 (0.187)	Loss 5.0539 (5.1016)	Prec@1 5.078 (3.975)	Prec@5 16.016 (14.143)
Epoch: [2][3210/7045]	Time 0.579 (0.251)	Data 0.527 (0.187)	Loss 5.1166 (5.1014)	Prec@1 4.688 (3.977)	Prec@5 15.234 (14.148)
Epoch: [2][3220/7045]	Time 0.102 (0.250)	Data 0.004 (0.187)	Loss 5.0956 (5.1013)	Prec@1 3.906 (3.978)	Prec@5 14.844 (14.151)
Epoch: [2][3230/7045]	Time 0.614 (0.251)	Data 0.561 (0.187)	Loss 4.9731 (5.1012)	Prec@1 5.859 (3.979)	Prec@5 14.844 (14.154)
Epoch: [2][3240/7045]	Time 0.164 (0.251)	Data 0.114 (0.187)	Loss 5.0113 (5.1010)	Prec@1 5.859 (3.981)	Prec@5 16.016 (14.158)
Epoch: [2][3250/7045]	Time 0.429 (0.251)	Data 0.377 (0.187)	Loss 5.1662 (5.1011)	Prec@1 4.688 (3.982)	Prec@5 12.500 (14.160)
Epoch: [2][3260/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 5.0845 (5.1011)	Prec@1 2.734 (3.982)	Prec@5 12.500 (14.160)
Epoch: [2][3270/7045]	Time 0.144 (0.251)	Data 0.094 (0.187)	Loss 5.1628 (5.1010)	Prec@1 4.688 (3.983)	Prec@5 11.719 (14.159)
Epoch: [2][3280/7045]	Time 0.239 (0.251)	Data 0.189 (0.187)	Loss 5.0705 (5.1008)	Prec@1 2.344 (3.983)	Prec@5 15.625 (14.164)
Epoch: [2][3290/7045]	Time 0.113 (0.250)	Data 0.061 (0.187)	Loss 4.9178 (5.1006)	Prec@1 3.516 (3.982)	Prec@5 15.625 (14.166)
Epoch: [2][3300/7045]	Time 0.494 (0.251)	Data 0.436 (0.187)	Loss 5.1134 (5.1006)	Prec@1 3.516 (3.982)	Prec@5 12.891 (14.166)
Epoch: [2][3310/7045]	Time 0.222 (0.251)	Data 0.172 (0.187)	Loss 5.1731 (5.1006)	Prec@1 3.906 (3.981)	Prec@5 14.062 (14.167)
Epoch: [2][3320/7045]	Time 0.684 (0.251)	Data 0.630 (0.188)	Loss 4.9700 (5.1006)	Prec@1 7.422 (3.981)	Prec@5 19.141 (14.168)
Epoch: [2][3330/7045]	Time 0.126 (0.251)	Data 0.066 (0.187)	Loss 5.1843 (5.1004)	Prec@1 4.688 (3.982)	Prec@5 12.500 (14.170)
Epoch: [2][3340/7045]	Time 0.655 (0.251)	Data 0.598 (0.187)	Loss 5.1089 (5.1004)	Prec@1 4.297 (3.981)	Prec@5 16.016 (14.170)
Epoch: [2][3350/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 5.0414 (5.1003)	Prec@1 4.297 (3.981)	Prec@5 13.281 (14.171)
Epoch: [2][3360/7045]	Time 0.618 (0.251)	Data 0.566 (0.188)	Loss 5.0542 (5.1003)	Prec@1 2.734 (3.981)	Prec@5 16.016 (14.175)
Epoch: [2][3370/7045]	Time 0.257 (0.251)	Data 0.200 (0.187)	Loss 5.1595 (5.1002)	Prec@1 5.078 (3.981)	Prec@5 15.625 (14.174)
Epoch: [2][3380/7045]	Time 0.389 (0.251)	Data 0.338 (0.187)	Loss 4.9331 (5.1000)	Prec@1 1.953 (3.981)	Prec@5 17.578 (14.176)
Epoch: [2][3390/7045]	Time 0.199 (0.251)	Data 0.146 (0.187)	Loss 5.0192 (5.0998)	Prec@1 3.516 (3.983)	Prec@5 16.406 (14.179)
Epoch: [2][3400/7045]	Time 0.466 (0.251)	Data 0.407 (0.187)	Loss 4.9285 (5.0997)	Prec@1 4.297 (3.983)	Prec@5 15.234 (14.180)
Epoch: [2][3410/7045]	Time 0.248 (0.251)	Data 0.198 (0.187)	Loss 5.2559 (5.0996)	Prec@1 3.906 (3.986)	Prec@5 13.672 (14.183)
Epoch: [2][3420/7045]	Time 0.324 (0.251)	Data 0.274 (0.188)	Loss 5.0338 (5.0995)	Prec@1 4.297 (3.986)	Prec@5 14.062 (14.184)
Epoch: [2][3430/7045]	Time 0.172 (0.250)	Data 0.120 (0.187)	Loss 4.9862 (5.0996)	Prec@1 4.297 (3.988)	Prec@5 15.234 (14.187)
Epoch: [2][3440/7045]	Time 0.108 (0.251)	Data 0.009 (0.188)	Loss 5.2540 (5.0994)	Prec@1 1.562 (3.988)	Prec@5 11.719 (14.189)
Epoch: [2][3450/7045]	Time 0.111 (0.250)	Data 0.059 (0.187)	Loss 5.0398 (5.0993)	Prec@1 5.859 (3.988)	Prec@5 13.672 (14.187)
Epoch: [2][3460/7045]	Time 0.207 (0.251)	Data 0.155 (0.188)	Loss 5.1852 (5.0992)	Prec@1 2.344 (3.989)	Prec@5 11.719 (14.189)
Epoch: [2][3470/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 4.9629 (5.0991)	Prec@1 3.906 (3.990)	Prec@5 17.578 (14.190)
Epoch: [2][3480/7045]	Time 0.324 (0.251)	Data 0.272 (0.188)	Loss 5.0639 (5.0990)	Prec@1 5.469 (3.991)	Prec@5 14.062 (14.191)
Epoch: [2][3490/7045]	Time 0.143 (0.250)	Data 0.091 (0.187)	Loss 5.0951 (5.0987)	Prec@1 2.344 (3.992)	Prec@5 12.891 (14.194)
Epoch: [2][3500/7045]	Time 0.111 (0.251)	Data 0.060 (0.188)	Loss 5.0557 (5.0988)	Prec@1 3.516 (3.990)	Prec@5 16.406 (14.195)
Epoch: [2][3510/7045]	Time 0.295 (0.251)	Data 0.243 (0.188)	Loss 5.0898 (5.0986)	Prec@1 5.078 (3.991)	Prec@5 13.672 (14.195)
Epoch: [2][3520/7045]	Time 0.101 (0.250)	Data 0.001 (0.188)	Loss 5.0994 (5.0984)	Prec@1 2.734 (3.991)	Prec@5 11.328 (14.197)
Epoch: [2][3530/7045]	Time 0.481 (0.251)	Data 0.429 (0.188)	Loss 5.0196 (5.0983)	Prec@1 4.297 (3.991)	Prec@5 16.797 (14.202)
Epoch: [2][3540/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 4.9663 (5.0983)	Prec@1 5.078 (3.991)	Prec@5 12.891 (14.201)
Epoch: [2][3550/7045]	Time 0.474 (0.251)	Data 0.416 (0.188)	Loss 5.0846 (5.0981)	Prec@1 3.516 (3.992)	Prec@5 15.234 (14.205)
Epoch: [2][3560/7045]	Time 0.319 (0.250)	Data 0.260 (0.188)	Loss 5.0565 (5.0981)	Prec@1 3.516 (3.992)	Prec@5 14.453 (14.205)
Epoch: [2][3570/7045]	Time 0.473 (0.251)	Data 0.421 (0.188)	Loss 5.0921 (5.0980)	Prec@1 4.297 (3.992)	Prec@5 17.188 (14.210)
Epoch: [2][3580/7045]	Time 0.427 (0.250)	Data 0.375 (0.188)	Loss 4.9473 (5.0979)	Prec@1 4.688 (3.995)	Prec@5 16.797 (14.213)
Epoch: [2][3590/7045]	Time 0.282 (0.250)	Data 0.230 (0.187)	Loss 5.0363 (5.0977)	Prec@1 4.297 (3.997)	Prec@5 16.797 (14.217)
Epoch: [2][3600/7045]	Time 0.166 (0.250)	Data 0.116 (0.187)	Loss 5.0898 (5.0977)	Prec@1 4.688 (3.997)	Prec@5 14.062 (14.215)
Epoch: [2][3610/7045]	Time 0.570 (0.251)	Data 0.517 (0.188)	Loss 5.0327 (5.0976)	Prec@1 4.297 (3.998)	Prec@5 13.281 (14.218)
Epoch: [2][3620/7045]	Time 0.187 (0.250)	Data 0.136 (0.188)	Loss 5.1570 (5.0976)	Prec@1 3.125 (3.997)	Prec@5 14.062 (14.218)
Epoch: [2][3630/7045]	Time 0.473 (0.250)	Data 0.421 (0.188)	Loss 5.1350 (5.0976)	Prec@1 4.297 (3.996)	Prec@5 13.281 (14.216)
Epoch: [2][3640/7045]	Time 0.113 (0.250)	Data 0.048 (0.188)	Loss 5.1166 (5.0976)	Prec@1 4.688 (3.996)	Prec@5 14.844 (14.216)
Epoch: [2][3650/7045]	Time 0.380 (0.250)	Data 0.329 (0.188)	Loss 5.0236 (5.0977)	Prec@1 4.297 (3.997)	Prec@5 17.969 (14.217)
Epoch: [2][3660/7045]	Time 0.104 (0.250)	Data 0.053 (0.188)	Loss 5.1798 (5.0978)	Prec@1 3.906 (3.996)	Prec@5 13.281 (14.218)
Epoch: [2][3670/7045]	Time 0.318 (0.250)	Data 0.266 (0.188)	Loss 5.1664 (5.0980)	Prec@1 3.906 (3.994)	Prec@5 16.016 (14.216)
Epoch: [2][3680/7045]	Time 0.105 (0.250)	Data 0.054 (0.188)	Loss 5.0213 (5.0980)	Prec@1 3.516 (3.994)	Prec@5 16.406 (14.217)
Epoch: [2][3690/7045]	Time 0.103 (0.250)	Data 0.049 (0.188)	Loss 5.1833 (5.0980)	Prec@1 5.469 (3.995)	Prec@5 14.062 (14.217)
Epoch: [2][3700/7045]	Time 0.468 (0.250)	Data 0.417 (0.188)	Loss 5.0872 (5.0979)	Prec@1 3.125 (3.997)	Prec@5 14.844 (14.222)
Epoch: [2][3710/7045]	Time 0.101 (0.250)	Data 0.001 (0.188)	Loss 5.0845 (5.0979)	Prec@1 5.469 (3.999)	Prec@5 14.062 (14.222)
Epoch: [2][3720/7045]	Time 0.325 (0.250)	Data 0.266 (0.188)	Loss 5.1010 (5.0979)	Prec@1 5.469 (3.999)	Prec@5 11.719 (14.219)
Epoch: [2][3730/7045]	Time 0.274 (0.250)	Data 0.222 (0.188)	Loss 4.9984 (5.0978)	Prec@1 6.250 (4.001)	Prec@5 17.578 (14.223)
Epoch: [2][3740/7045]	Time 0.419 (0.250)	Data 0.369 (0.188)	Loss 5.1422 (5.0979)	Prec@1 5.078 (4.001)	Prec@5 12.109 (14.220)
Epoch: [2][3750/7045]	Time 0.107 (0.250)	Data 0.012 (0.188)	Loss 5.0738 (5.0979)	Prec@1 2.734 (4.000)	Prec@5 14.062 (14.216)
Epoch: [2][3760/7045]	Time 0.327 (0.250)	Data 0.276 (0.188)	Loss 4.9799 (5.0978)	Prec@1 5.469 (4.002)	Prec@5 15.234 (14.217)
Epoch: [2][3770/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 4.9450 (5.0977)	Prec@1 5.859 (4.003)	Prec@5 16.406 (14.222)
Epoch: [2][3780/7045]	Time 0.284 (0.250)	Data 0.234 (0.188)	Loss 5.1379 (5.0976)	Prec@1 3.125 (4.004)	Prec@5 12.109 (14.221)
Epoch: [2][3790/7045]	Time 0.346 (0.251)	Data 0.294 (0.188)	Loss 5.0050 (5.0975)	Prec@1 3.906 (4.004)	Prec@5 18.359 (14.224)
Epoch: [2][3800/7045]	Time 0.102 (0.250)	Data 0.001 (0.188)	Loss 5.0650 (5.0973)	Prec@1 3.906 (4.004)	Prec@5 16.797 (14.226)
Epoch: [2][3810/7045]	Time 0.672 (0.251)	Data 0.614 (0.188)	Loss 4.9638 (5.0972)	Prec@1 6.250 (4.005)	Prec@5 17.578 (14.228)
Epoch: [2][3820/7045]	Time 0.101 (0.250)	Data 0.005 (0.188)	Loss 5.0427 (5.0971)	Prec@1 5.078 (4.008)	Prec@5 17.969 (14.233)
Epoch: [2][3830/7045]	Time 0.597 (0.251)	Data 0.546 (0.188)	Loss 5.0236 (5.0970)	Prec@1 5.078 (4.010)	Prec@5 17.188 (14.235)
Epoch: [2][3840/7045]	Time 0.142 (0.250)	Data 0.083 (0.188)	Loss 5.3238 (5.0970)	Prec@1 2.734 (4.010)	Prec@5 8.984 (14.235)
Epoch: [2][3850/7045]	Time 0.656 (0.251)	Data 0.596 (0.188)	Loss 5.0165 (5.0968)	Prec@1 3.906 (4.010)	Prec@5 14.453 (14.236)
Epoch: [2][3860/7045]	Time 0.108 (0.250)	Data 0.001 (0.188)	Loss 5.1013 (5.0968)	Prec@1 3.906 (4.010)	Prec@5 12.891 (14.237)
Epoch: [2][3870/7045]	Time 0.664 (0.250)	Data 0.613 (0.188)	Loss 5.0849 (5.0967)	Prec@1 3.516 (4.010)	Prec@5 16.016 (14.237)
Epoch: [2][3880/7045]	Time 0.111 (0.250)	Data 0.059 (0.188)	Loss 5.1598 (5.0966)	Prec@1 3.516 (4.011)	Prec@5 14.844 (14.241)
Epoch: [2][3890/7045]	Time 0.571 (0.250)	Data 0.520 (0.188)	Loss 4.9958 (5.0963)	Prec@1 5.078 (4.012)	Prec@5 15.234 (14.245)
Epoch: [2][3900/7045]	Time 0.188 (0.250)	Data 0.137 (0.188)	Loss 5.0777 (5.0963)	Prec@1 5.469 (4.013)	Prec@5 13.281 (14.245)
Epoch: [2][3910/7045]	Time 0.551 (0.250)	Data 0.499 (0.188)	Loss 5.2161 (5.0964)	Prec@1 3.125 (4.012)	Prec@5 10.547 (14.244)
Epoch: [2][3920/7045]	Time 0.109 (0.250)	Data 0.058 (0.188)	Loss 5.1171 (5.0964)	Prec@1 3.906 (4.012)	Prec@5 16.797 (14.245)
Epoch: [2][3930/7045]	Time 0.447 (0.250)	Data 0.397 (0.188)	Loss 5.0692 (5.0965)	Prec@1 3.516 (4.012)	Prec@5 15.625 (14.242)
Epoch: [2][3940/7045]	Time 0.101 (0.250)	Data 0.004 (0.188)	Loss 5.2989 (5.0967)	Prec@1 1.562 (4.009)	Prec@5 12.109 (14.239)
Epoch: [2][3950/7045]	Time 0.346 (0.250)	Data 0.296 (0.187)	Loss 5.1524 (5.0968)	Prec@1 1.953 (4.008)	Prec@5 12.891 (14.238)
Epoch: [2][3960/7045]	Time 0.117 (0.250)	Data 0.057 (0.187)	Loss 5.1045 (5.0968)	Prec@1 2.344 (4.007)	Prec@5 12.891 (14.237)
Epoch: [2][3970/7045]	Time 0.518 (0.250)	Data 0.467 (0.187)	Loss 4.9589 (5.0967)	Prec@1 4.297 (4.007)	Prec@5 19.922 (14.241)
Epoch: [2][3980/7045]	Time 0.110 (0.250)	Data 0.057 (0.187)	Loss 5.1524 (5.0967)	Prec@1 3.906 (4.006)	Prec@5 10.547 (14.236)
Epoch: [2][3990/7045]	Time 0.455 (0.250)	Data 0.403 (0.187)	Loss 5.0245 (5.0966)	Prec@1 2.344 (4.005)	Prec@5 14.453 (14.236)
Epoch: [2][4000/7045]	Time 0.100 (0.250)	Data 0.004 (0.187)	Loss 5.0727 (5.0966)	Prec@1 5.469 (4.006)	Prec@5 17.188 (14.236)
Epoch: [2][4010/7045]	Time 0.233 (0.250)	Data 0.182 (0.187)	Loss 4.9989 (5.0966)	Prec@1 4.297 (4.005)	Prec@5 14.844 (14.238)
Epoch: [2][4020/7045]	Time 0.128 (0.250)	Data 0.077 (0.187)	Loss 5.1547 (5.0965)	Prec@1 2.344 (4.003)	Prec@5 14.453 (14.242)
Epoch: [2][4030/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 5.0428 (5.0965)	Prec@1 4.688 (4.004)	Prec@5 14.453 (14.242)
Epoch: [2][4040/7045]	Time 0.107 (0.250)	Data 0.055 (0.187)	Loss 5.1372 (5.0964)	Prec@1 3.516 (4.005)	Prec@5 14.062 (14.244)
Epoch: [2][4050/7045]	Time 0.137 (0.250)	Data 0.085 (0.187)	Loss 5.0945 (5.0963)	Prec@1 3.906 (4.003)	Prec@5 12.500 (14.244)
Epoch: [2][4060/7045]	Time 0.505 (0.250)	Data 0.453 (0.188)	Loss 5.0045 (5.0963)	Prec@1 4.688 (4.004)	Prec@5 16.797 (14.246)
Epoch: [2][4070/7045]	Time 0.225 (0.250)	Data 0.174 (0.188)	Loss 5.0916 (5.0963)	Prec@1 5.078 (4.004)	Prec@5 15.625 (14.246)
Epoch: [2][4080/7045]	Time 0.099 (0.250)	Data 0.001 (0.188)	Loss 5.0327 (5.0963)	Prec@1 3.906 (4.005)	Prec@5 14.062 (14.246)
Epoch: [2][4090/7045]	Time 0.450 (0.250)	Data 0.398 (0.188)	Loss 5.1688 (5.0961)	Prec@1 3.516 (4.006)	Prec@5 11.719 (14.248)
Epoch: [2][4100/7045]	Time 0.341 (0.250)	Data 0.289 (0.188)	Loss 4.9596 (5.0959)	Prec@1 6.641 (4.008)	Prec@5 18.750 (14.252)
Epoch: [2][4110/7045]	Time 0.305 (0.250)	Data 0.254 (0.188)	Loss 5.1300 (5.0958)	Prec@1 3.516 (4.008)	Prec@5 14.844 (14.253)
Epoch: [2][4120/7045]	Time 0.314 (0.250)	Data 0.262 (0.188)	Loss 5.0917 (5.0958)	Prec@1 4.297 (4.009)	Prec@5 14.844 (14.252)
Epoch: [2][4130/7045]	Time 0.227 (0.250)	Data 0.176 (0.188)	Loss 5.1757 (5.0958)	Prec@1 1.953 (4.007)	Prec@5 12.500 (14.249)
Epoch: [2][4140/7045]	Time 0.146 (0.250)	Data 0.094 (0.188)	Loss 5.2129 (5.0959)	Prec@1 3.906 (4.007)	Prec@5 9.375 (14.247)
Epoch: [2][4150/7045]	Time 0.102 (0.250)	Data 0.001 (0.188)	Loss 5.0074 (5.0960)	Prec@1 4.297 (4.008)	Prec@5 15.625 (14.247)
Epoch: [2][4160/7045]	Time 0.113 (0.250)	Data 0.061 (0.188)	Loss 5.0798 (5.0962)	Prec@1 4.297 (4.008)	Prec@5 15.625 (14.247)
Epoch: [2][4170/7045]	Time 0.101 (0.250)	Data 0.048 (0.188)	Loss 5.1199 (5.0961)	Prec@1 5.078 (4.007)	Prec@5 15.625 (14.248)
Epoch: [2][4180/7045]	Time 0.107 (0.250)	Data 0.056 (0.188)	Loss 5.0211 (5.0960)	Prec@1 4.297 (4.006)	Prec@5 14.453 (14.246)
Epoch: [2][4190/7045]	Time 0.380 (0.250)	Data 0.328 (0.188)	Loss 5.0951 (5.0960)	Prec@1 5.859 (4.006)	Prec@5 12.109 (14.245)
Epoch: [2][4200/7045]	Time 0.159 (0.250)	Data 0.100 (0.188)	Loss 5.1155 (5.0959)	Prec@1 5.469 (4.008)	Prec@5 16.406 (14.248)
Epoch: [2][4210/7045]	Time 0.584 (0.250)	Data 0.534 (0.188)	Loss 5.0660 (5.0959)	Prec@1 4.688 (4.008)	Prec@5 17.578 (14.250)
Epoch: [2][4220/7045]	Time 0.129 (0.250)	Data 0.067 (0.188)	Loss 5.0938 (5.0961)	Prec@1 5.469 (4.007)	Prec@5 14.453 (14.246)
Epoch: [2][4230/7045]	Time 0.523 (0.250)	Data 0.472 (0.188)	Loss 5.0657 (5.0961)	Prec@1 3.516 (4.006)	Prec@5 13.672 (14.245)
Epoch: [2][4240/7045]	Time 0.138 (0.250)	Data 0.088 (0.188)	Loss 5.0493 (5.0960)	Prec@1 3.516 (4.006)	Prec@5 14.844 (14.245)
Epoch: [2][4250/7045]	Time 0.241 (0.250)	Data 0.188 (0.188)	Loss 5.1577 (5.0960)	Prec@1 3.125 (4.008)	Prec@5 12.891 (14.247)
Epoch: [2][4260/7045]	Time 0.389 (0.250)	Data 0.331 (0.188)	Loss 5.0534 (5.0961)	Prec@1 3.906 (4.007)	Prec@5 16.406 (14.244)
Epoch: [2][4270/7045]	Time 0.101 (0.250)	Data 0.001 (0.188)	Loss 5.2011 (5.0962)	Prec@1 4.688 (4.007)	Prec@5 11.719 (14.240)
Epoch: [2][4280/7045]	Time 0.605 (0.250)	Data 0.553 (0.188)	Loss 5.1256 (5.0962)	Prec@1 4.688 (4.007)	Prec@5 14.062 (14.239)
Epoch: [2][4290/7045]	Time 0.108 (0.250)	Data 0.056 (0.188)	Loss 5.1011 (5.0962)	Prec@1 4.297 (4.006)	Prec@5 13.672 (14.240)
Epoch: [2][4300/7045]	Time 0.551 (0.250)	Data 0.493 (0.188)	Loss 4.9949 (5.0962)	Prec@1 5.469 (4.007)	Prec@5 11.719 (14.239)
Epoch: [2][4310/7045]	Time 0.102 (0.250)	Data 0.001 (0.188)	Loss 5.0740 (5.0961)	Prec@1 4.297 (4.006)	Prec@5 15.625 (14.238)
Epoch: [2][4320/7045]	Time 0.763 (0.250)	Data 0.711 (0.188)	Loss 5.1836 (5.0961)	Prec@1 3.516 (4.007)	Prec@5 14.453 (14.239)
Epoch: [2][4330/7045]	Time 0.103 (0.250)	Data 0.001 (0.188)	Loss 4.9870 (5.0960)	Prec@1 7.422 (4.008)	Prec@5 16.406 (14.240)
Epoch: [2][4340/7045]	Time 0.704 (0.250)	Data 0.652 (0.188)	Loss 5.0633 (5.0959)	Prec@1 3.516 (4.009)	Prec@5 12.109 (14.238)
Epoch: [2][4350/7045]	Time 0.103 (0.250)	Data 0.001 (0.187)	Loss 4.9389 (5.0960)	Prec@1 5.469 (4.009)	Prec@5 19.531 (14.236)
Epoch: [2][4360/7045]	Time 0.653 (0.250)	Data 0.601 (0.188)	Loss 5.1242 (5.0959)	Prec@1 2.734 (4.010)	Prec@5 14.062 (14.238)
Epoch: [2][4370/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 5.1170 (5.0958)	Prec@1 3.125 (4.008)	Prec@5 14.844 (14.236)
Epoch: [2][4380/7045]	Time 0.310 (0.250)	Data 0.260 (0.187)	Loss 5.1147 (5.0958)	Prec@1 3.516 (4.009)	Prec@5 12.500 (14.236)
Epoch: [2][4390/7045]	Time 0.137 (0.250)	Data 0.086 (0.187)	Loss 5.0903 (5.0958)	Prec@1 3.125 (4.008)	Prec@5 15.234 (14.238)
Epoch: [2][4400/7045]	Time 0.318 (0.250)	Data 0.259 (0.187)	Loss 5.0763 (5.0959)	Prec@1 4.688 (4.008)	Prec@5 16.016 (14.239)
Epoch: [2][4410/7045]	Time 0.259 (0.250)	Data 0.207 (0.187)	Loss 5.1862 (5.0959)	Prec@1 4.297 (4.009)	Prec@5 12.891 (14.239)
Epoch: [2][4420/7045]	Time 0.261 (0.250)	Data 0.208 (0.188)	Loss 5.0671 (5.0958)	Prec@1 4.297 (4.010)	Prec@5 14.844 (14.240)
Epoch: [2][4430/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 5.1436 (5.0958)	Prec@1 2.344 (4.010)	Prec@5 12.891 (14.240)
Epoch: [2][4440/7045]	Time 0.101 (0.250)	Data 0.002 (0.187)	Loss 5.0990 (5.0958)	Prec@1 3.906 (4.011)	Prec@5 16.406 (14.240)
Epoch: [2][4450/7045]	Time 0.159 (0.250)	Data 0.106 (0.187)	Loss 5.1600 (5.0957)	Prec@1 1.953 (4.012)	Prec@5 9.375 (14.242)
Epoch: [2][4460/7045]	Time 0.142 (0.250)	Data 0.092 (0.187)	Loss 5.0228 (5.0954)	Prec@1 5.469 (4.013)	Prec@5 14.844 (14.247)
Epoch: [2][4470/7045]	Time 0.317 (0.250)	Data 0.263 (0.187)	Loss 5.1364 (5.0955)	Prec@1 4.688 (4.012)	Prec@5 15.625 (14.246)
Epoch: [2][4480/7045]	Time 0.178 (0.250)	Data 0.117 (0.187)	Loss 5.0102 (5.0954)	Prec@1 5.859 (4.012)	Prec@5 17.578 (14.245)
Epoch: [2][4490/7045]	Time 0.465 (0.250)	Data 0.415 (0.188)	Loss 5.2224 (5.0954)	Prec@1 3.906 (4.012)	Prec@5 12.891 (14.246)
Epoch: [2][4500/7045]	Time 0.102 (0.250)	Data 0.001 (0.188)	Loss 5.2574 (5.0955)	Prec@1 3.516 (4.012)	Prec@5 12.500 (14.246)
Epoch: [2][4510/7045]	Time 0.332 (0.250)	Data 0.281 (0.187)	Loss 5.1356 (5.0956)	Prec@1 2.344 (4.010)	Prec@5 14.453 (14.247)
Epoch: [2][4520/7045]	Time 0.368 (0.250)	Data 0.316 (0.187)	Loss 5.0852 (5.0956)	Prec@1 3.516 (4.010)	Prec@5 13.672 (14.246)
Epoch: [2][4530/7045]	Time 0.193 (0.250)	Data 0.143 (0.187)	Loss 5.0995 (5.0956)	Prec@1 3.125 (4.009)	Prec@5 13.672 (14.245)
Epoch: [2][4540/7045]	Time 0.683 (0.250)	Data 0.620 (0.187)	Loss 5.1819 (5.0957)	Prec@1 3.516 (4.009)	Prec@5 12.109 (14.245)
Epoch: [2][4550/7045]	Time 0.110 (0.250)	Data 0.001 (0.187)	Loss 5.0707 (5.0957)	Prec@1 5.859 (4.009)	Prec@5 16.016 (14.245)
Epoch: [2][4560/7045]	Time 0.448 (0.250)	Data 0.397 (0.187)	Loss 5.0961 (5.0956)	Prec@1 3.125 (4.009)	Prec@5 11.328 (14.248)
Epoch: [2][4570/7045]	Time 0.238 (0.250)	Data 0.188 (0.187)	Loss 5.0520 (5.0956)	Prec@1 3.516 (4.009)	Prec@5 17.188 (14.250)
Epoch: [2][4580/7045]	Time 0.216 (0.250)	Data 0.157 (0.187)	Loss 5.1002 (5.0956)	Prec@1 5.078 (4.009)	Prec@5 15.625 (14.253)
Epoch: [2][4590/7045]	Time 0.378 (0.250)	Data 0.328 (0.187)	Loss 5.1426 (5.0956)	Prec@1 3.516 (4.008)	Prec@5 13.672 (14.251)
Epoch: [2][4600/7045]	Time 0.101 (0.250)	Data 0.001 (0.188)	Loss 5.1602 (5.0957)	Prec@1 3.906 (4.009)	Prec@5 14.844 (14.251)
Epoch: [2][4610/7045]	Time 0.270 (0.250)	Data 0.220 (0.187)	Loss 5.1887 (5.0958)	Prec@1 3.125 (4.009)	Prec@5 12.500 (14.250)
Epoch: [2][4620/7045]	Time 0.251 (0.250)	Data 0.199 (0.188)	Loss 5.2287 (5.0959)	Prec@1 3.125 (4.009)	Prec@5 10.938 (14.248)
Epoch: [2][4630/7045]	Time 0.251 (0.250)	Data 0.200 (0.188)	Loss 5.1188 (5.0959)	Prec@1 5.078 (4.008)	Prec@5 11.719 (14.246)
Epoch: [2][4640/7045]	Time 0.449 (0.251)	Data 0.397 (0.188)	Loss 5.0300 (5.0958)	Prec@1 4.688 (4.009)	Prec@5 14.453 (14.248)
Epoch: [2][4650/7045]	Time 0.110 (0.250)	Data 0.051 (0.188)	Loss 5.0549 (5.0958)	Prec@1 3.906 (4.009)	Prec@5 18.359 (14.251)
Epoch: [2][4660/7045]	Time 0.674 (0.251)	Data 0.622 (0.188)	Loss 5.3674 (5.0958)	Prec@1 5.469 (4.008)	Prec@5 12.109 (14.251)
Epoch: [2][4670/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 5.1012 (5.0959)	Prec@1 5.078 (4.008)	Prec@5 13.672 (14.251)
Epoch: [2][4680/7045]	Time 0.455 (0.250)	Data 0.403 (0.188)	Loss 5.0169 (5.0960)	Prec@1 3.516 (4.008)	Prec@5 16.406 (14.246)
Epoch: [2][4690/7045]	Time 0.101 (0.251)	Data 0.001 (0.188)	Loss 5.0434 (5.0961)	Prec@1 5.859 (4.010)	Prec@5 14.453 (14.246)
Epoch: [2][4700/7045]	Time 0.124 (0.250)	Data 0.073 (0.187)	Loss 5.2174 (5.0961)	Prec@1 3.125 (4.010)	Prec@5 10.938 (14.246)
Epoch: [2][4710/7045]	Time 0.108 (0.251)	Data 0.043 (0.188)	Loss 5.2453 (5.0961)	Prec@1 2.734 (4.010)	Prec@5 8.984 (14.244)
Epoch: [2][4720/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 4.9740 (5.0962)	Prec@1 4.688 (4.008)	Prec@5 15.234 (14.241)
Epoch: [2][4730/7045]	Time 0.185 (0.251)	Data 0.134 (0.188)	Loss 5.1552 (5.0962)	Prec@1 4.297 (4.010)	Prec@5 13.281 (14.242)
Epoch: [2][4740/7045]	Time 0.102 (0.251)	Data 0.012 (0.188)	Loss 5.0983 (5.0964)	Prec@1 5.078 (4.008)	Prec@5 16.406 (14.240)
Epoch: [2][4750/7045]	Time 0.189 (0.250)	Data 0.137 (0.188)	Loss 5.1388 (5.0964)	Prec@1 4.297 (4.009)	Prec@5 13.281 (14.242)
Epoch: [2][4760/7045]	Time 0.102 (0.250)	Data 0.008 (0.188)	Loss 5.0852 (5.0963)	Prec@1 5.469 (4.008)	Prec@5 16.016 (14.244)
Epoch: [2][4770/7045]	Time 0.194 (0.250)	Data 0.143 (0.187)	Loss 5.1350 (5.0964)	Prec@1 3.125 (4.008)	Prec@5 13.281 (14.243)
Epoch: [2][4780/7045]	Time 0.305 (0.251)	Data 0.255 (0.188)	Loss 5.1507 (5.0964)	Prec@1 4.297 (4.008)	Prec@5 14.844 (14.242)
Epoch: [2][4790/7045]	Time 0.102 (0.250)	Data 0.019 (0.187)	Loss 5.0411 (5.0965)	Prec@1 2.734 (4.007)	Prec@5 12.500 (14.240)
Epoch: [2][4800/7045]	Time 0.250 (0.250)	Data 0.199 (0.188)	Loss 5.1794 (5.0966)	Prec@1 2.734 (4.007)	Prec@5 10.547 (14.239)
Epoch: [2][4810/7045]	Time 0.248 (0.251)	Data 0.197 (0.188)	Loss 5.0431 (5.0965)	Prec@1 2.344 (4.007)	Prec@5 12.109 (14.240)
Epoch: [2][4820/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 5.1086 (5.0965)	Prec@1 4.297 (4.007)	Prec@5 12.109 (14.241)
Epoch: [2][4830/7045]	Time 0.155 (0.251)	Data 0.094 (0.188)	Loss 5.1024 (5.0965)	Prec@1 1.953 (4.006)	Prec@5 13.281 (14.241)
Epoch: [2][4840/7045]	Time 0.102 (0.251)	Data 0.009 (0.188)	Loss 4.9643 (5.0964)	Prec@1 4.297 (4.006)	Prec@5 16.406 (14.241)
Epoch: [2][4850/7045]	Time 0.240 (0.251)	Data 0.189 (0.188)	Loss 5.0169 (5.0964)	Prec@1 4.688 (4.007)	Prec@5 15.234 (14.240)
Epoch: [2][4860/7045]	Time 0.508 (0.251)	Data 0.457 (0.188)	Loss 5.1101 (5.0964)	Prec@1 2.734 (4.007)	Prec@5 14.844 (14.240)
Epoch: [2][4870/7045]	Time 0.267 (0.251)	Data 0.207 (0.188)	Loss 4.8888 (5.0962)	Prec@1 5.078 (4.006)	Prec@5 15.625 (14.242)
Epoch: [2][4880/7045]	Time 0.229 (0.251)	Data 0.177 (0.188)	Loss 5.0768 (5.0960)	Prec@1 5.078 (4.009)	Prec@5 16.797 (14.243)
Epoch: [2][4890/7045]	Time 0.195 (0.251)	Data 0.144 (0.188)	Loss 5.0905 (5.0960)	Prec@1 2.344 (4.009)	Prec@5 11.328 (14.242)
Epoch: [2][4900/7045]	Time 0.102 (0.251)	Data 0.014 (0.188)	Loss 5.1654 (5.0960)	Prec@1 1.562 (4.009)	Prec@5 11.719 (14.242)
Epoch: [2][4910/7045]	Time 0.204 (0.251)	Data 0.154 (0.188)	Loss 5.0552 (5.0960)	Prec@1 2.734 (4.009)	Prec@5 13.672 (14.243)
Epoch: [2][4920/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 5.1009 (5.0958)	Prec@1 2.344 (4.010)	Prec@5 12.109 (14.246)
Epoch: [2][4930/7045]	Time 0.101 (0.251)	Data 0.013 (0.188)	Loss 5.2087 (5.0958)	Prec@1 3.906 (4.011)	Prec@5 12.891 (14.247)
Epoch: [2][4940/7045]	Time 0.145 (0.251)	Data 0.094 (0.188)	Loss 4.9463 (5.0957)	Prec@1 5.078 (4.011)	Prec@5 15.625 (14.247)
Epoch: [2][4950/7045]	Time 0.101 (0.251)	Data 0.015 (0.188)	Loss 5.0505 (5.0957)	Prec@1 3.906 (4.011)	Prec@5 14.453 (14.247)
Epoch: [2][4960/7045]	Time 0.198 (0.250)	Data 0.146 (0.188)	Loss 5.1080 (5.0956)	Prec@1 5.859 (4.011)	Prec@5 18.750 (14.248)
Epoch: [2][4970/7045]	Time 0.278 (0.251)	Data 0.226 (0.188)	Loss 5.0939 (5.0955)	Prec@1 6.250 (4.013)	Prec@5 16.016 (14.252)
Epoch: [2][4980/7045]	Time 0.237 (0.250)	Data 0.187 (0.188)	Loss 5.0304 (5.0955)	Prec@1 1.953 (4.013)	Prec@5 15.625 (14.252)
Epoch: [2][4990/7045]	Time 0.320 (0.250)	Data 0.267 (0.188)	Loss 5.2082 (5.0954)	Prec@1 5.078 (4.014)	Prec@5 11.328 (14.253)
Epoch: [2][5000/7045]	Time 0.107 (0.251)	Data 0.001 (0.188)	Loss 5.0326 (5.0954)	Prec@1 5.469 (4.015)	Prec@5 17.188 (14.255)
Epoch: [2][5010/7045]	Time 0.108 (0.250)	Data 0.055 (0.188)	Loss 4.9984 (5.0953)	Prec@1 5.078 (4.015)	Prec@5 16.797 (14.256)
Epoch: [2][5020/7045]	Time 0.114 (0.250)	Data 0.062 (0.188)	Loss 5.1915 (5.0952)	Prec@1 3.125 (4.016)	Prec@5 13.672 (14.258)
Epoch: [2][5030/7045]	Time 0.101 (0.250)	Data 0.017 (0.188)	Loss 5.1214 (5.0952)	Prec@1 4.688 (4.016)	Prec@5 13.281 (14.256)
Epoch: [2][5040/7045]	Time 0.420 (0.251)	Data 0.369 (0.188)	Loss 5.1091 (5.0953)	Prec@1 3.516 (4.015)	Prec@5 13.281 (14.255)
Epoch: [2][5050/7045]	Time 0.102 (0.251)	Data 0.016 (0.188)	Loss 5.2090 (5.0954)	Prec@1 2.344 (4.015)	Prec@5 11.719 (14.254)
Epoch: [2][5060/7045]	Time 0.513 (0.251)	Data 0.462 (0.188)	Loss 5.0828 (5.0957)	Prec@1 1.953 (4.013)	Prec@5 15.234 (14.250)
Epoch: [2][5070/7045]	Time 0.102 (0.251)	Data 0.014 (0.188)	Loss 5.2279 (5.0960)	Prec@1 1.953 (4.011)	Prec@5 12.109 (14.246)
Epoch: [2][5080/7045]	Time 0.718 (0.251)	Data 0.661 (0.188)	Loss 5.0242 (5.0961)	Prec@1 3.516 (4.010)	Prec@5 12.500 (14.245)
Epoch: [2][5090/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 5.3283 (5.0961)	Prec@1 3.125 (4.012)	Prec@5 12.500 (14.246)
Epoch: [2][5100/7045]	Time 0.592 (0.251)	Data 0.534 (0.188)	Loss 5.0368 (5.0961)	Prec@1 5.078 (4.012)	Prec@5 19.922 (14.246)
Epoch: [2][5110/7045]	Time 0.109 (0.250)	Data 0.001 (0.187)	Loss 5.0032 (5.0961)	Prec@1 5.078 (4.011)	Prec@5 15.625 (14.245)
Epoch: [2][5120/7045]	Time 0.630 (0.251)	Data 0.579 (0.187)	Loss 5.0372 (5.0960)	Prec@1 4.297 (4.011)	Prec@5 14.844 (14.247)
Epoch: [2][5130/7045]	Time 0.345 (0.251)	Data 0.292 (0.187)	Loss 4.9997 (5.0960)	Prec@1 7.031 (4.011)	Prec@5 16.406 (14.246)
Epoch: [2][5140/7045]	Time 0.452 (0.250)	Data 0.401 (0.187)	Loss 5.0262 (5.0960)	Prec@1 6.641 (4.011)	Prec@5 19.141 (14.247)
Epoch: [2][5150/7045]	Time 0.307 (0.250)	Data 0.255 (0.187)	Loss 5.0995 (5.0961)	Prec@1 3.125 (4.010)	Prec@5 13.672 (14.245)
Epoch: [2][5160/7045]	Time 0.414 (0.250)	Data 0.351 (0.187)	Loss 5.1228 (5.0961)	Prec@1 4.297 (4.009)	Prec@5 14.844 (14.246)
Epoch: [2][5170/7045]	Time 0.303 (0.250)	Data 0.251 (0.187)	Loss 4.9856 (5.0961)	Prec@1 5.469 (4.010)	Prec@5 16.406 (14.247)
Epoch: [2][5180/7045]	Time 0.252 (0.250)	Data 0.201 (0.187)	Loss 5.1484 (5.0961)	Prec@1 3.125 (4.009)	Prec@5 12.500 (14.245)
Epoch: [2][5190/7045]	Time 0.104 (0.250)	Data 0.051 (0.187)	Loss 5.0920 (5.0962)	Prec@1 3.516 (4.009)	Prec@5 15.625 (14.244)
Epoch: [2][5200/7045]	Time 0.212 (0.250)	Data 0.162 (0.187)	Loss 5.0679 (5.0961)	Prec@1 3.125 (4.009)	Prec@5 11.719 (14.245)
Epoch: [2][5210/7045]	Time 0.105 (0.250)	Data 0.052 (0.187)	Loss 5.1060 (5.0962)	Prec@1 5.078 (4.008)	Prec@5 17.188 (14.245)
Epoch: [2][5220/7045]	Time 0.111 (0.250)	Data 0.014 (0.187)	Loss 4.9747 (5.0961)	Prec@1 3.125 (4.007)	Prec@5 17.578 (14.246)
Epoch: [2][5230/7045]	Time 0.307 (0.250)	Data 0.256 (0.187)	Loss 5.0543 (5.0961)	Prec@1 3.516 (4.008)	Prec@5 16.016 (14.247)
Epoch: [2][5240/7045]	Time 0.110 (0.250)	Data 0.013 (0.187)	Loss 5.1508 (5.0961)	Prec@1 0.781 (4.006)	Prec@5 12.109 (14.246)
Epoch: [2][5250/7045]	Time 0.449 (0.250)	Data 0.397 (0.187)	Loss 5.2847 (5.0963)	Prec@1 3.125 (4.005)	Prec@5 13.672 (14.244)
Epoch: [2][5260/7045]	Time 0.274 (0.250)	Data 0.216 (0.187)	Loss 5.1128 (5.0962)	Prec@1 4.297 (4.007)	Prec@5 15.234 (14.247)
Epoch: [2][5270/7045]	Time 0.656 (0.250)	Data 0.605 (0.187)	Loss 5.1880 (5.0962)	Prec@1 3.906 (4.007)	Prec@5 9.766 (14.247)
Epoch: [2][5280/7045]	Time 0.101 (0.250)	Data 0.046 (0.187)	Loss 5.1589 (5.0963)	Prec@1 3.516 (4.007)	Prec@5 16.016 (14.248)
Epoch: [2][5290/7045]	Time 0.497 (0.250)	Data 0.447 (0.187)	Loss 5.0726 (5.0963)	Prec@1 4.297 (4.007)	Prec@5 12.500 (14.247)
Epoch: [2][5300/7045]	Time 0.112 (0.250)	Data 0.017 (0.187)	Loss 5.0862 (5.0963)	Prec@1 4.297 (4.007)	Prec@5 12.500 (14.248)
Epoch: [2][5310/7045]	Time 0.560 (0.250)	Data 0.510 (0.187)	Loss 4.9703 (5.0963)	Prec@1 7.031 (4.009)	Prec@5 17.188 (14.250)
Epoch: [2][5320/7045]	Time 0.102 (0.250)	Data 0.047 (0.187)	Loss 5.1125 (5.0963)	Prec@1 3.906 (4.009)	Prec@5 13.672 (14.250)
Epoch: [2][5330/7045]	Time 0.463 (0.250)	Data 0.412 (0.187)	Loss 4.9931 (5.0964)	Prec@1 4.297 (4.009)	Prec@5 13.672 (14.248)
Epoch: [2][5340/7045]	Time 0.185 (0.250)	Data 0.134 (0.187)	Loss 4.9301 (5.0963)	Prec@1 6.641 (4.008)	Prec@5 19.141 (14.248)
Epoch: [2][5350/7045]	Time 0.265 (0.250)	Data 0.214 (0.187)	Loss 4.8802 (5.0962)	Prec@1 4.297 (4.009)	Prec@5 16.797 (14.250)
Epoch: [2][5360/7045]	Time 0.103 (0.250)	Data 0.005 (0.187)	Loss 5.2307 (5.0962)	Prec@1 5.859 (4.009)	Prec@5 12.500 (14.250)
Epoch: [2][5370/7045]	Time 0.108 (0.250)	Data 0.002 (0.187)	Loss 5.3211 (5.0964)	Prec@1 2.734 (4.009)	Prec@5 12.500 (14.248)
Epoch: [2][5380/7045]	Time 0.295 (0.250)	Data 0.244 (0.187)	Loss 5.0688 (5.0965)	Prec@1 3.125 (4.008)	Prec@5 15.625 (14.248)
Epoch: [2][5390/7045]	Time 0.220 (0.250)	Data 0.169 (0.187)	Loss 5.0912 (5.0966)	Prec@1 3.125 (4.007)	Prec@5 14.453 (14.246)
Epoch: [2][5400/7045]	Time 0.450 (0.250)	Data 0.400 (0.187)	Loss 5.2997 (5.0968)	Prec@1 1.953 (4.006)	Prec@5 10.938 (14.243)
Epoch: [2][5410/7045]	Time 0.250 (0.250)	Data 0.199 (0.187)	Loss 5.1493 (5.0969)	Prec@1 3.906 (4.006)	Prec@5 12.109 (14.242)
Epoch: [2][5420/7045]	Time 0.110 (0.250)	Data 0.004 (0.187)	Loss 5.1109 (5.0969)	Prec@1 4.297 (4.005)	Prec@5 12.500 (14.240)
Epoch: [2][5430/7045]	Time 0.252 (0.250)	Data 0.201 (0.187)	Loss 5.0647 (5.0969)	Prec@1 6.250 (4.004)	Prec@5 16.016 (14.239)
Epoch: [2][5440/7045]	Time 0.101 (0.250)	Data 0.016 (0.187)	Loss 5.0260 (5.0969)	Prec@1 4.297 (4.005)	Prec@5 18.359 (14.240)
Epoch: [2][5450/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 4.9502 (5.0969)	Prec@1 3.516 (4.003)	Prec@5 15.234 (14.240)
Epoch: [2][5460/7045]	Time 0.124 (0.250)	Data 0.072 (0.187)	Loss 5.2905 (5.0970)	Prec@1 2.734 (4.003)	Prec@5 10.938 (14.239)
Epoch: [2][5470/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 5.0750 (5.0971)	Prec@1 4.688 (4.003)	Prec@5 17.969 (14.238)
Epoch: [2][5480/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 5.0136 (5.0972)	Prec@1 7.031 (4.004)	Prec@5 15.234 (14.237)
Epoch: [2][5490/7045]	Time 0.101 (0.250)	Data 0.001 (0.187)	Loss 4.8976 (5.0972)	Prec@1 5.078 (4.004)	Prec@5 16.406 (14.237)
Epoch: [2][5500/7045]	Time 0.109 (0.250)	Data 0.009 (0.187)	Loss 4.9145 (5.0971)	Prec@1 5.078 (4.004)	Prec@5 16.797 (14.238)
Epoch: [2][5510/7045]	Time 0.101 (0.250)	Data 0.001 (0.187)	Loss 5.0615 (5.0971)	Prec@1 2.734 (4.004)	Prec@5 14.453 (14.240)
Epoch: [2][5520/7045]	Time 0.131 (0.250)	Data 0.072 (0.187)	Loss 5.1588 (5.0971)	Prec@1 3.125 (4.004)	Prec@5 9.375 (14.239)
Epoch: [2][5530/7045]	Time 0.127 (0.250)	Data 0.075 (0.187)	Loss 5.1620 (5.0971)	Prec@1 1.953 (4.003)	Prec@5 16.016 (14.237)
Epoch: [2][5540/7045]	Time 0.101 (0.250)	Data 0.013 (0.187)	Loss 5.1362 (5.0973)	Prec@1 3.906 (4.002)	Prec@5 12.891 (14.236)
Epoch: [2][5550/7045]	Time 0.237 (0.250)	Data 0.184 (0.187)	Loss 4.9771 (5.0973)	Prec@1 5.859 (4.002)	Prec@5 14.844 (14.234)
Epoch: [2][5560/7045]	Time 0.107 (0.250)	Data 0.055 (0.187)	Loss 5.0173 (5.0973)	Prec@1 4.688 (4.002)	Prec@5 13.281 (14.235)
Epoch: [2][5570/7045]	Time 0.322 (0.250)	Data 0.270 (0.187)	Loss 5.0616 (5.0973)	Prec@1 4.688 (4.001)	Prec@5 12.891 (14.233)
Epoch: [2][5580/7045]	Time 0.102 (0.250)	Data 0.017 (0.187)	Loss 5.0121 (5.0973)	Prec@1 5.078 (4.002)	Prec@5 15.625 (14.233)
Epoch: [2][5590/7045]	Time 0.410 (0.250)	Data 0.359 (0.187)	Loss 5.0199 (5.0973)	Prec@1 3.906 (4.002)	Prec@5 14.844 (14.234)
Epoch: [2][5600/7045]	Time 0.178 (0.250)	Data 0.128 (0.187)	Loss 5.0630 (5.0973)	Prec@1 4.688 (4.002)	Prec@5 15.625 (14.234)
Epoch: [2][5610/7045]	Time 0.365 (0.250)	Data 0.314 (0.187)	Loss 5.1323 (5.0973)	Prec@1 3.906 (4.002)	Prec@5 13.281 (14.233)
Epoch: [2][5620/7045]	Time 0.135 (0.250)	Data 0.084 (0.187)	Loss 5.0618 (5.0972)	Prec@1 4.688 (4.003)	Prec@5 12.891 (14.233)
Epoch: [2][5630/7045]	Time 0.390 (0.250)	Data 0.338 (0.187)	Loss 5.0568 (5.0972)	Prec@1 4.297 (4.003)	Prec@5 16.406 (14.233)
Epoch: [2][5640/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 4.9410 (5.0971)	Prec@1 4.688 (4.003)	Prec@5 15.625 (14.235)
Epoch: [2][5650/7045]	Time 0.272 (0.250)	Data 0.220 (0.187)	Loss 5.1167 (5.0971)	Prec@1 3.516 (4.003)	Prec@5 15.625 (14.235)
Epoch: [2][5660/7045]	Time 0.109 (0.250)	Data 0.001 (0.187)	Loss 4.9980 (5.0970)	Prec@1 2.734 (4.003)	Prec@5 15.625 (14.237)
Epoch: [2][5670/7045]	Time 0.181 (0.250)	Data 0.129 (0.187)	Loss 5.0099 (5.0969)	Prec@1 3.906 (4.002)	Prec@5 16.016 (14.237)
Epoch: [2][5680/7045]	Time 0.127 (0.250)	Data 0.075 (0.187)	Loss 5.0205 (5.0969)	Prec@1 4.688 (4.003)	Prec@5 15.234 (14.236)
Epoch: [2][5690/7045]	Time 0.103 (0.250)	Data 0.001 (0.187)	Loss 5.1610 (5.0969)	Prec@1 3.906 (4.004)	Prec@5 9.766 (14.238)
Epoch: [2][5700/7045]	Time 0.309 (0.250)	Data 0.252 (0.187)	Loss 5.0494 (5.0968)	Prec@1 4.688 (4.004)	Prec@5 12.109 (14.238)
Epoch: [2][5710/7045]	Time 0.102 (0.250)	Data 0.050 (0.187)	Loss 5.0607 (5.0968)	Prec@1 1.953 (4.005)	Prec@5 12.109 (14.237)
Epoch: [2][5720/7045]	Time 0.109 (0.250)	Data 0.056 (0.187)	Loss 5.1501 (5.0967)	Prec@1 5.078 (4.005)	Prec@5 13.672 (14.237)
Epoch: [2][5730/7045]	Time 0.115 (0.250)	Data 0.061 (0.187)	Loss 4.9590 (5.0967)	Prec@1 5.859 (4.007)	Prec@5 18.750 (14.240)
Epoch: [2][5740/7045]	Time 0.196 (0.250)	Data 0.137 (0.187)	Loss 5.1928 (5.0967)	Prec@1 4.688 (4.006)	Prec@5 14.844 (14.240)
Epoch: [2][5750/7045]	Time 0.103 (0.250)	Data 0.006 (0.187)	Loss 5.1411 (5.0968)	Prec@1 3.516 (4.008)	Prec@5 15.625 (14.241)
Epoch: [2][5760/7045]	Time 0.199 (0.250)	Data 0.141 (0.187)	Loss 5.2099 (5.0969)	Prec@1 2.344 (4.005)	Prec@5 8.594 (14.237)
Epoch: [2][5770/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 5.1000 (5.0969)	Prec@1 3.516 (4.005)	Prec@5 17.188 (14.237)
Epoch: [2][5780/7045]	Time 0.108 (0.250)	Data 0.006 (0.187)	Loss 4.9495 (5.0968)	Prec@1 3.125 (4.006)	Prec@5 12.500 (14.239)
Epoch: [2][5790/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 5.1056 (5.0968)	Prec@1 6.250 (4.006)	Prec@5 16.016 (14.240)
Epoch: [2][5800/7045]	Time 0.102 (0.250)	Data 0.010 (0.187)	Loss 5.1292 (5.0969)	Prec@1 3.125 (4.005)	Prec@5 14.844 (14.239)
Epoch: [2][5810/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 5.0388 (5.0969)	Prec@1 5.469 (4.007)	Prec@5 13.672 (14.239)
Epoch: [2][5820/7045]	Time 0.208 (0.250)	Data 0.155 (0.187)	Loss 5.1238 (5.0968)	Prec@1 2.344 (4.007)	Prec@5 16.406 (14.240)
Epoch: [2][5830/7045]	Time 0.298 (0.250)	Data 0.246 (0.187)	Loss 5.0091 (5.0968)	Prec@1 4.297 (4.008)	Prec@5 16.406 (14.240)
Epoch: [2][5840/7045]	Time 0.311 (0.250)	Data 0.261 (0.187)	Loss 5.0917 (5.0968)	Prec@1 4.297 (4.008)	Prec@5 14.844 (14.240)
Epoch: [2][5850/7045]	Time 0.103 (0.250)	Data 0.001 (0.187)	Loss 5.1589 (5.0968)	Prec@1 5.078 (4.008)	Prec@5 15.234 (14.239)
Epoch: [2][5860/7045]	Time 0.108 (0.250)	Data 0.001 (0.187)	Loss 4.9596 (5.0967)	Prec@1 4.688 (4.009)	Prec@5 16.406 (14.241)
Epoch: [2][5870/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 5.0845 (5.0967)	Prec@1 4.688 (4.009)	Prec@5 15.625 (14.241)
Epoch: [2][5880/7045]	Time 0.101 (0.250)	Data 0.001 (0.187)	Loss 5.1222 (5.0966)	Prec@1 1.953 (4.010)	Prec@5 11.719 (14.242)
Epoch: [2][5890/7045]	Time 0.110 (0.250)	Data 0.060 (0.187)	Loss 5.1255 (5.0966)	Prec@1 5.078 (4.010)	Prec@5 15.234 (14.241)
Epoch: [2][5900/7045]	Time 0.163 (0.250)	Data 0.112 (0.187)	Loss 5.1744 (5.0966)	Prec@1 6.641 (4.010)	Prec@5 14.453 (14.240)
Epoch: [2][5910/7045]	Time 0.101 (0.250)	Data 0.049 (0.187)	Loss 5.0011 (5.0966)	Prec@1 4.688 (4.011)	Prec@5 17.188 (14.241)
Epoch: [2][5920/7045]	Time 0.283 (0.250)	Data 0.222 (0.187)	Loss 5.1406 (5.0967)	Prec@1 3.906 (4.011)	Prec@5 14.453 (14.242)
Epoch: [2][5930/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 5.0447 (5.0967)	Prec@1 3.516 (4.011)	Prec@5 15.234 (14.241)
Epoch: [2][5940/7045]	Time 0.425 (0.250)	Data 0.366 (0.187)	Loss 5.0896 (5.0968)	Prec@1 3.125 (4.010)	Prec@5 17.578 (14.241)
Epoch: [2][5950/7045]	Time 0.128 (0.250)	Data 0.075 (0.187)	Loss 5.0253 (5.0968)	Prec@1 4.297 (4.010)	Prec@5 18.359 (14.241)
Epoch: [2][5960/7045]	Time 0.275 (0.250)	Data 0.223 (0.187)	Loss 5.0017 (5.0969)	Prec@1 3.125 (4.009)	Prec@5 14.453 (14.240)
Epoch: [2][5970/7045]	Time 0.109 (0.250)	Data 0.056 (0.187)	Loss 5.2783 (5.0969)	Prec@1 5.078 (4.009)	Prec@5 12.891 (14.242)
Epoch: [2][5980/7045]	Time 0.268 (0.250)	Data 0.218 (0.187)	Loss 5.0032 (5.0968)	Prec@1 5.078 (4.009)	Prec@5 16.016 (14.242)
Epoch: [2][5990/7045]	Time 0.109 (0.250)	Data 0.058 (0.187)	Loss 5.1896 (5.0968)	Prec@1 3.906 (4.009)	Prec@5 12.891 (14.242)
Epoch: [2][6000/7045]	Time 0.108 (0.250)	Data 0.055 (0.187)	Loss 5.2153 (5.0969)	Prec@1 1.953 (4.008)	Prec@5 15.625 (14.241)
Epoch: [2][6010/7045]	Time 0.102 (0.250)	Data 0.002 (0.187)	Loss 5.1606 (5.0970)	Prec@1 3.906 (4.008)	Prec@5 14.844 (14.241)
Epoch: [2][6020/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 5.0815 (5.0971)	Prec@1 3.125 (4.007)	Prec@5 14.062 (14.240)
Epoch: [2][6030/7045]	Time 0.102 (0.250)	Data 0.005 (0.187)	Loss 5.2682 (5.0971)	Prec@1 2.344 (4.007)	Prec@5 10.156 (14.242)
Epoch: [2][6040/7045]	Time 0.295 (0.250)	Data 0.243 (0.187)	Loss 5.1978 (5.0971)	Prec@1 3.125 (4.006)	Prec@5 9.766 (14.240)
Epoch: [2][6050/7045]	Time 0.219 (0.250)	Data 0.167 (0.187)	Loss 5.1045 (5.0971)	Prec@1 5.078 (4.007)	Prec@5 12.500 (14.240)
Epoch: [2][6060/7045]	Time 0.523 (0.250)	Data 0.471 (0.187)	Loss 5.2029 (5.0971)	Prec@1 3.516 (4.007)	Prec@5 13.672 (14.241)
Epoch: [2][6070/7045]	Time 0.116 (0.250)	Data 0.056 (0.187)	Loss 5.1129 (5.0971)	Prec@1 3.125 (4.007)	Prec@5 15.234 (14.241)
Epoch: [2][6080/7045]	Time 0.519 (0.250)	Data 0.469 (0.187)	Loss 4.9786 (5.0970)	Prec@1 4.297 (4.007)	Prec@5 18.359 (14.242)
Epoch: [2][6090/7045]	Time 0.101 (0.250)	Data 0.048 (0.187)	Loss 5.1082 (5.0970)	Prec@1 1.953 (4.008)	Prec@5 12.500 (14.243)
Epoch: [2][6100/7045]	Time 0.227 (0.250)	Data 0.176 (0.187)	Loss 5.0639 (5.0970)	Prec@1 6.250 (4.008)	Prec@5 16.797 (14.244)
Epoch: [2][6110/7045]	Time 0.190 (0.250)	Data 0.139 (0.187)	Loss 5.0818 (5.0970)	Prec@1 2.344 (4.007)	Prec@5 13.281 (14.242)
Epoch: [2][6120/7045]	Time 0.105 (0.250)	Data 0.050 (0.187)	Loss 5.2463 (5.0971)	Prec@1 3.516 (4.008)	Prec@5 9.375 (14.241)
Epoch: [2][6130/7045]	Time 0.314 (0.250)	Data 0.256 (0.187)	Loss 5.2208 (5.0971)	Prec@1 2.734 (4.007)	Prec@5 10.547 (14.240)
Epoch: [2][6140/7045]	Time 0.152 (0.250)	Data 0.102 (0.187)	Loss 5.0106 (5.0971)	Prec@1 3.516 (4.006)	Prec@5 14.453 (14.240)
Epoch: [2][6150/7045]	Time 0.519 (0.250)	Data 0.468 (0.187)	Loss 5.0710 (5.0971)	Prec@1 5.078 (4.007)	Prec@5 14.844 (14.239)
Epoch: [2][6160/7045]	Time 0.433 (0.250)	Data 0.381 (0.187)	Loss 5.2780 (5.0971)	Prec@1 3.125 (4.007)	Prec@5 12.500 (14.239)
Epoch: [2][6170/7045]	Time 0.243 (0.250)	Data 0.192 (0.187)	Loss 5.1448 (5.0971)	Prec@1 4.297 (4.007)	Prec@5 11.719 (14.239)
Epoch: [2][6180/7045]	Time 0.327 (0.250)	Data 0.276 (0.187)	Loss 5.1919 (5.0972)	Prec@1 2.734 (4.006)	Prec@5 12.109 (14.238)
Epoch: [2][6190/7045]	Time 0.124 (0.250)	Data 0.073 (0.187)	Loss 4.9949 (5.0972)	Prec@1 5.469 (4.006)	Prec@5 16.406 (14.239)
Epoch: [2][6200/7045]	Time 0.101 (0.250)	Data 0.001 (0.187)	Loss 5.2763 (5.0974)	Prec@1 4.297 (4.006)	Prec@5 12.109 (14.235)
Epoch: [2][6210/7045]	Time 0.102 (0.250)	Data 0.005 (0.187)	Loss 5.1301 (5.0975)	Prec@1 3.125 (4.005)	Prec@5 13.281 (14.233)
Epoch: [2][6220/7045]	Time 0.413 (0.250)	Data 0.363 (0.187)	Loss 5.1623 (5.0976)	Prec@1 2.734 (4.004)	Prec@5 14.453 (14.231)
Epoch: [2][6230/7045]	Time 0.530 (0.250)	Data 0.480 (0.187)	Loss 5.1916 (5.0976)	Prec@1 3.516 (4.003)	Prec@5 13.281 (14.230)
Epoch: [2][6240/7045]	Time 0.226 (0.250)	Data 0.173 (0.187)	Loss 5.0556 (5.0976)	Prec@1 4.297 (4.003)	Prec@5 15.234 (14.229)
Epoch: [2][6250/7045]	Time 0.244 (0.250)	Data 0.192 (0.187)	Loss 4.9890 (5.0976)	Prec@1 3.125 (4.001)	Prec@5 14.844 (14.228)
Epoch: [2][6260/7045]	Time 0.101 (0.250)	Data 0.001 (0.187)	Loss 4.9724 (5.0976)	Prec@1 4.688 (4.001)	Prec@5 16.797 (14.228)
Epoch: [2][6270/7045]	Time 0.323 (0.250)	Data 0.271 (0.187)	Loss 4.9872 (5.0975)	Prec@1 4.688 (4.003)	Prec@5 14.844 (14.228)
Epoch: [2][6280/7045]	Time 0.101 (0.250)	Data 0.001 (0.187)	Loss 5.0132 (5.0974)	Prec@1 4.297 (4.004)	Prec@5 14.844 (14.230)
Epoch: [2][6290/7045]	Time 0.316 (0.250)	Data 0.264 (0.187)	Loss 5.1334 (5.0974)	Prec@1 5.859 (4.005)	Prec@5 12.500 (14.230)
Epoch: [2][6300/7045]	Time 0.148 (0.250)	Data 0.096 (0.187)	Loss 5.0948 (5.0974)	Prec@1 5.078 (4.005)	Prec@5 16.797 (14.232)
Epoch: [2][6310/7045]	Time 0.159 (0.250)	Data 0.105 (0.187)	Loss 5.0826 (5.0974)	Prec@1 6.250 (4.005)	Prec@5 15.625 (14.231)
Epoch: [2][6320/7045]	Time 0.100 (0.250)	Data 0.001 (0.187)	Loss 5.1109 (5.0974)	Prec@1 4.688 (4.005)	Prec@5 11.328 (14.229)
Epoch: [2][6330/7045]	Time 0.102 (0.250)	Data 0.011 (0.187)	Loss 5.0952 (5.0973)	Prec@1 2.344 (4.005)	Prec@5 13.672 (14.230)
Epoch: [2][6340/7045]	Time 0.451 (0.250)	Data 0.400 (0.187)	Loss 5.0199 (5.0973)	Prec@1 5.859 (4.006)	Prec@5 17.969 (14.232)
Epoch: [2][6350/7045]	Time 0.250 (0.250)	Data 0.199 (0.187)	Loss 5.1045 (5.0973)	Prec@1 2.734 (4.005)	Prec@5 16.797 (14.232)
Epoch: [2][6360/7045]	Time 0.362 (0.250)	Data 0.311 (0.187)	Loss 5.1038 (5.0972)	Prec@1 3.125 (4.007)	Prec@5 13.281 (14.235)
Epoch: [2][6370/7045]	Time 0.102 (0.250)	Data 0.049 (0.187)	Loss 4.9554 (5.0971)	Prec@1 5.469 (4.008)	Prec@5 17.578 (14.238)
Epoch: [2][6380/7045]	Time 0.194 (0.250)	Data 0.134 (0.187)	Loss 5.0422 (5.0970)	Prec@1 3.906 (4.008)	Prec@5 16.797 (14.237)
Epoch: [2][6390/7045]	Time 0.358 (0.250)	Data 0.308 (0.187)	Loss 5.0534 (5.0970)	Prec@1 4.688 (4.007)	Prec@5 13.281 (14.238)
Epoch: [2][6400/7045]	Time 0.275 (0.250)	Data 0.224 (0.187)	Loss 5.1745 (5.0970)	Prec@1 2.344 (4.007)	Prec@5 10.938 (14.236)
Epoch: [2][6410/7045]	Time 0.539 (0.250)	Data 0.488 (0.187)	Loss 5.1393 (5.0970)	Prec@1 4.297 (4.007)	Prec@5 13.672 (14.236)
Epoch: [2][6420/7045]	Time 0.107 (0.250)	Data 0.001 (0.187)	Loss 5.1760 (5.0971)	Prec@1 3.516 (4.006)	Prec@5 12.109 (14.233)
Epoch: [2][6430/7045]	Time 0.520 (0.250)	Data 0.460 (0.187)	Loss 5.0515 (5.0971)	Prec@1 4.297 (4.007)	Prec@5 13.672 (14.233)
Epoch: [2][6440/7045]	Time 0.187 (0.250)	Data 0.136 (0.187)	Loss 5.1721 (5.0972)	Prec@1 4.688 (4.007)	Prec@5 14.844 (14.232)
Epoch: [2][6450/7045]	Time 0.502 (0.250)	Data 0.448 (0.187)	Loss 5.2589 (5.0973)	Prec@1 3.125 (4.007)	Prec@5 11.719 (14.230)
Epoch: [2][6460/7045]	Time 0.360 (0.250)	Data 0.310 (0.187)	Loss 5.0556 (5.0973)	Prec@1 2.734 (4.006)	Prec@5 15.234 (14.228)
Epoch: [2][6470/7045]	Time 0.522 (0.250)	Data 0.472 (0.187)	Loss 5.1617 (5.0974)	Prec@1 4.688 (4.005)	Prec@5 13.281 (14.228)
Epoch: [2][6480/7045]	Time 0.474 (0.250)	Data 0.414 (0.187)	Loss 5.0890 (5.0974)	Prec@1 4.688 (4.004)	Prec@5 17.188 (14.228)
Epoch: [2][6490/7045]	Time 0.130 (0.250)	Data 0.077 (0.187)	Loss 5.0532 (5.0975)	Prec@1 4.688 (4.004)	Prec@5 14.844 (14.227)
Epoch: [2][6500/7045]	Time 0.473 (0.250)	Data 0.421 (0.187)	Loss 5.2031 (5.0975)	Prec@1 4.688 (4.004)	Prec@5 12.500 (14.225)
Epoch: [2][6510/7045]	Time 0.164 (0.250)	Data 0.113 (0.187)	Loss 5.0191 (5.0975)	Prec@1 4.297 (4.004)	Prec@5 17.188 (14.226)
Epoch: [2][6520/7045]	Time 0.565 (0.250)	Data 0.508 (0.187)	Loss 5.0001 (5.0975)	Prec@1 3.906 (4.004)	Prec@5 14.844 (14.226)
Epoch: [2][6530/7045]	Time 0.359 (0.250)	Data 0.308 (0.187)	Loss 5.1299 (5.0975)	Prec@1 3.516 (4.004)	Prec@5 14.453 (14.225)
Epoch: [2][6540/7045]	Time 0.217 (0.250)	Data 0.167 (0.187)	Loss 5.0241 (5.0974)	Prec@1 3.906 (4.004)	Prec@5 15.234 (14.226)
Epoch: [2][6550/7045]	Time 0.578 (0.250)	Data 0.519 (0.187)	Loss 5.2399 (5.0975)	Prec@1 3.906 (4.004)	Prec@5 13.281 (14.225)
Epoch: [2][6560/7045]	Time 0.238 (0.250)	Data 0.185 (0.187)	Loss 5.0714 (5.0975)	Prec@1 3.906 (4.003)	Prec@5 13.672 (14.226)
Epoch: [2][6570/7045]	Time 0.683 (0.250)	Data 0.632 (0.187)	Loss 5.1094 (5.0976)	Prec@1 2.344 (4.003)	Prec@5 10.938 (14.226)
Epoch: [2][6580/7045]	Time 0.112 (0.250)	Data 0.001 (0.187)	Loss 4.9552 (5.0976)	Prec@1 6.250 (4.003)	Prec@5 19.922 (14.226)
Epoch: [2][6590/7045]	Time 0.604 (0.250)	Data 0.553 (0.187)	Loss 5.1653 (5.0975)	Prec@1 4.688 (4.004)	Prec@5 12.500 (14.227)
Epoch: [2][6600/7045]	Time 0.149 (0.250)	Data 0.091 (0.187)	Loss 5.0373 (5.0974)	Prec@1 4.297 (4.004)	Prec@5 12.891 (14.227)
Epoch: [2][6610/7045]	Time 0.642 (0.250)	Data 0.590 (0.187)	Loss 5.1137 (5.0974)	Prec@1 5.859 (4.004)	Prec@5 14.453 (14.227)
Epoch: [2][6620/7045]	Time 0.142 (0.250)	Data 0.082 (0.187)	Loss 5.1878 (5.0974)	Prec@1 3.516 (4.003)	Prec@5 12.109 (14.226)
Epoch: [2][6630/7045]	Time 0.510 (0.250)	Data 0.459 (0.187)	Loss 5.0550 (5.0974)	Prec@1 4.688 (4.003)	Prec@5 18.359 (14.224)
Epoch: [2][6640/7045]	Time 0.103 (0.250)	Data 0.001 (0.187)	Loss 5.0778 (5.0974)	Prec@1 1.172 (4.003)	Prec@5 11.328 (14.224)
Epoch: [2][6650/7045]	Time 0.300 (0.250)	Data 0.247 (0.187)	Loss 5.2848 (5.0974)	Prec@1 4.688 (4.003)	Prec@5 12.891 (14.223)
Epoch: [2][6660/7045]	Time 0.108 (0.250)	Data 0.055 (0.187)	Loss 5.0851 (5.0974)	Prec@1 3.516 (4.003)	Prec@5 14.844 (14.223)
Epoch: [2][6670/7045]	Time 0.389 (0.250)	Data 0.337 (0.187)	Loss 5.2207 (5.0974)	Prec@1 2.734 (4.002)	Prec@5 12.500 (14.222)
Epoch: [2][6680/7045]	Time 0.354 (0.250)	Data 0.304 (0.187)	Loss 5.0717 (5.0974)	Prec@1 4.688 (4.002)	Prec@5 14.844 (14.223)
Epoch: [2][6690/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 5.1203 (5.0973)	Prec@1 3.906 (4.003)	Prec@5 14.453 (14.223)
Epoch: [2][6700/7045]	Time 0.114 (0.250)	Data 0.062 (0.187)	Loss 5.2115 (5.0973)	Prec@1 3.906 (4.003)	Prec@5 13.281 (14.224)
Epoch: [2][6710/7045]	Time 0.103 (0.250)	Data 0.011 (0.187)	Loss 5.1055 (5.0972)	Prec@1 5.469 (4.004)	Prec@5 16.406 (14.225)
Epoch: [2][6720/7045]	Time 0.408 (0.250)	Data 0.356 (0.187)	Loss 5.0790 (5.0972)	Prec@1 5.078 (4.003)	Prec@5 17.969 (14.228)
Epoch: [2][6730/7045]	Time 0.109 (0.250)	Data 0.010 (0.187)	Loss 5.0353 (5.0971)	Prec@1 4.297 (4.003)	Prec@5 15.625 (14.229)
Epoch: [2][6740/7045]	Time 0.544 (0.250)	Data 0.492 (0.187)	Loss 5.0734 (5.0971)	Prec@1 5.859 (4.003)	Prec@5 17.578 (14.228)
Epoch: [2][6750/7045]	Time 0.110 (0.250)	Data 0.001 (0.187)	Loss 4.9874 (5.0970)	Prec@1 2.344 (4.002)	Prec@5 14.062 (14.229)
Epoch: [2][6760/7045]	Time 0.213 (0.250)	Data 0.157 (0.187)	Loss 5.0506 (5.0970)	Prec@1 5.078 (4.001)	Prec@5 17.578 (14.228)
Epoch: [2][6770/7045]	Time 0.101 (0.250)	Data 0.001 (0.187)	Loss 5.0444 (5.0971)	Prec@1 1.953 (4.001)	Prec@5 19.531 (14.228)
Epoch: [2][6780/7045]	Time 0.165 (0.250)	Data 0.114 (0.187)	Loss 5.3141 (5.0972)	Prec@1 2.734 (4.000)	Prec@5 12.500 (14.226)
Epoch: [2][6790/7045]	Time 0.465 (0.250)	Data 0.414 (0.187)	Loss 5.1571 (5.0973)	Prec@1 2.734 (4.000)	Prec@5 12.500 (14.226)
Epoch: [2][6800/7045]	Time 0.112 (0.250)	Data 0.061 (0.187)	Loss 5.1653 (5.0972)	Prec@1 3.906 (4.001)	Prec@5 10.938 (14.227)
Epoch: [2][6810/7045]	Time 0.578 (0.250)	Data 0.527 (0.187)	Loss 5.0692 (5.0971)	Prec@1 5.078 (4.001)	Prec@5 13.281 (14.229)
Epoch: [2][6820/7045]	Time 0.254 (0.250)	Data 0.203 (0.187)	Loss 5.2898 (5.0971)	Prec@1 2.734 (4.002)	Prec@5 11.328 (14.230)
Epoch: [2][6830/7045]	Time 0.110 (0.250)	Data 0.005 (0.187)	Loss 5.2050 (5.0972)	Prec@1 2.734 (4.001)	Prec@5 13.672 (14.228)
Epoch: [2][6840/7045]	Time 0.349 (0.250)	Data 0.298 (0.187)	Loss 5.1038 (5.0972)	Prec@1 4.688 (4.002)	Prec@5 15.234 (14.228)
Epoch: [2][6850/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 5.1089 (5.0972)	Prec@1 5.078 (4.001)	Prec@5 15.625 (14.228)
Epoch: [2][6860/7045]	Time 0.272 (0.250)	Data 0.220 (0.187)	Loss 5.0574 (5.0972)	Prec@1 3.516 (4.001)	Prec@5 13.672 (14.227)
Epoch: [2][6870/7045]	Time 0.099 (0.250)	Data 0.001 (0.187)	Loss 5.0304 (5.0972)	Prec@1 4.297 (4.001)	Prec@5 16.016 (14.227)
Epoch: [2][6880/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 5.0872 (5.0973)	Prec@1 2.344 (4.000)	Prec@5 12.891 (14.226)
Epoch: [2][6890/7045]	Time 0.231 (0.250)	Data 0.179 (0.187)	Loss 5.1379 (5.0973)	Prec@1 3.125 (3.999)	Prec@5 16.797 (14.225)
Epoch: [2][6900/7045]	Time 0.150 (0.250)	Data 0.099 (0.187)	Loss 5.1689 (5.0974)	Prec@1 3.125 (3.997)	Prec@5 11.719 (14.223)
Epoch: [2][6910/7045]	Time 0.109 (0.250)	Data 0.058 (0.187)	Loss 5.1506 (5.0975)	Prec@1 1.953 (3.996)	Prec@5 9.766 (14.220)
Epoch: [2][6920/7045]	Time 0.127 (0.250)	Data 0.075 (0.187)	Loss 4.9654 (5.0974)	Prec@1 5.469 (3.996)	Prec@5 17.578 (14.222)
Epoch: [2][6930/7045]	Time 0.276 (0.250)	Data 0.223 (0.187)	Loss 5.2800 (5.0975)	Prec@1 2.344 (3.996)	Prec@5 10.156 (14.223)
Epoch: [2][6940/7045]	Time 0.103 (0.250)	Data 0.009 (0.187)	Loss 5.0160 (5.0974)	Prec@1 5.469 (3.996)	Prec@5 16.797 (14.224)
Epoch: [2][6950/7045]	Time 0.137 (0.250)	Data 0.085 (0.187)	Loss 5.0982 (5.0973)	Prec@1 5.469 (3.997)	Prec@5 17.578 (14.226)
Epoch: [2][6960/7045]	Time 0.276 (0.250)	Data 0.226 (0.187)	Loss 5.1692 (5.0972)	Prec@1 3.516 (3.996)	Prec@5 12.500 (14.227)
Epoch: [2][6970/7045]	Time 0.108 (0.250)	Data 0.055 (0.187)	Loss 4.9833 (5.0972)	Prec@1 5.469 (3.997)	Prec@5 15.625 (14.228)
Epoch: [2][6980/7045]	Time 0.134 (0.250)	Data 0.084 (0.187)	Loss 5.1808 (5.0972)	Prec@1 1.562 (3.997)	Prec@5 10.547 (14.228)
Epoch: [2][6990/7045]	Time 0.108 (0.250)	Data 0.056 (0.187)	Loss 4.9317 (5.0972)	Prec@1 4.297 (3.997)	Prec@5 17.188 (14.230)
Epoch: [2][7000/7045]	Time 0.111 (0.250)	Data 0.059 (0.187)	Loss 5.1473 (5.0972)	Prec@1 2.734 (3.997)	Prec@5 11.328 (14.230)
Epoch: [2][7010/7045]	Time 0.108 (0.250)	Data 0.056 (0.187)	Loss 4.9391 (5.0971)	Prec@1 4.297 (3.997)	Prec@5 18.750 (14.233)
Epoch: [2][7020/7045]	Time 0.104 (0.250)	Data 0.001 (0.187)	Loss 5.1619 (5.0971)	Prec@1 2.344 (3.996)	Prec@5 12.891 (14.232)
Epoch: [2][7030/7045]	Time 0.101 (0.250)	Data 0.045 (0.187)	Loss 5.0317 (5.0971)	Prec@1 3.516 (3.997)	Prec@5 14.062 (14.232)
Epoch: [2][7040/7045]	Time 0.102 (0.250)	Data 0.000 (0.187)	Loss 5.0357 (5.0970)	Prec@1 5.469 (3.997)	Prec@5 15.625 (14.234)
Test: [0/143]	Time 1.211 (1.211)	Loss 4.7695 (4.7695)	Prec@1 8.594 (8.594)	Prec@5 23.438 (23.438)
Test: [10/143]	Time 0.056 (0.258)	Loss 4.3065 (4.8525)	Prec@1 15.234 (6.392)	Prec@5 44.141 (20.668)
Test: [20/143]	Time 0.354 (0.234)	Loss 5.4056 (4.8794)	Prec@1 0.000 (5.990)	Prec@5 5.469 (19.680)
Test: [30/143]	Time 0.163 (0.220)	Loss 5.3152 (4.9434)	Prec@1 3.125 (5.141)	Prec@5 10.547 (17.314)
Test: [40/143]	Time 0.049 (0.211)	Loss 4.9345 (4.9358)	Prec@1 0.391 (5.088)	Prec@5 10.938 (17.330)
Test: [50/143]	Time 0.371 (0.206)	Loss 4.5939 (4.9596)	Prec@1 3.516 (4.458)	Prec@5 27.734 (16.138)
Test: [60/143]	Time 0.062 (0.199)	Loss 5.1562 (4.9225)	Prec@1 1.172 (5.027)	Prec@5 8.594 (17.303)
Test: [70/143]	Time 0.219 (0.200)	Loss 5.1539 (4.9288)	Prec@1 1.172 (5.012)	Prec@5 8.984 (17.215)
Test: [80/143]	Time 0.059 (0.193)	Loss 4.7463 (4.9447)	Prec@1 8.984 (4.962)	Prec@5 23.438 (16.874)
Test: [90/143]	Time 0.326 (0.196)	Loss 5.0505 (4.9445)	Prec@1 2.734 (5.078)	Prec@5 9.766 (16.866)
Test: [100/143]	Time 0.049 (0.192)	Loss 4.8105 (4.9430)	Prec@1 5.859 (4.962)	Prec@5 26.172 (16.990)
Test: [110/143]	Time 0.219 (0.192)	Loss 4.7592 (4.9462)	Prec@1 7.031 (4.768)	Prec@5 26.562 (16.797)
Test: [120/143]	Time 0.325 (0.191)	Loss 4.8815 (4.9406)	Prec@1 3.516 (4.926)	Prec@5 20.312 (17.175)
Test: [130/143]	Time 0.133 (0.190)	Loss 4.6596 (4.9355)	Prec@1 8.203 (4.953)	Prec@5 22.656 (17.328)
Test: [140/143]	Time 0.631 (0.191)	Loss 5.1961 (4.9485)	Prec@1 0.391 (4.820)	Prec@5 4.688 (16.858)
 * Prec@1 4.863 Prec@5 16.910
Epoch: [3][0/7045]	Time 2.351 (2.351)	Data 2.294 (2.294)	Loss 5.0177 (5.0177)	Prec@1 6.250 (6.250)	Prec@5 15.234 (15.234)
Epoch: [3][10/7045]	Time 0.101 (0.412)	Data 0.049 (0.326)	Loss 5.1485 (5.1425)	Prec@1 3.516 (3.977)	Prec@5 13.672 (13.565)
Epoch: [3][20/7045]	Time 0.606 (0.347)	Data 0.556 (0.270)	Loss 5.0613 (5.1352)	Prec@1 6.250 (3.888)	Prec@5 14.062 (13.449)
Epoch: [3][30/7045]	Time 0.102 (0.310)	Data 0.049 (0.238)	Loss 4.9303 (5.1185)	Prec@1 6.250 (3.994)	Prec@5 19.141 (13.684)
Epoch: [3][40/7045]	Time 0.387 (0.294)	Data 0.335 (0.224)	Loss 4.9932 (5.1017)	Prec@1 2.734 (4.068)	Prec@5 13.672 (14.263)
Epoch: [3][50/7045]	Time 0.103 (0.288)	Data 0.001 (0.218)	Loss 5.0788 (5.1011)	Prec@1 4.297 (3.975)	Prec@5 14.453 (14.170)
Epoch: [3][60/7045]	Time 0.176 (0.276)	Data 0.126 (0.206)	Loss 5.2147 (5.0990)	Prec@1 4.297 (3.906)	Prec@5 10.938 (14.191)
Epoch: [3][70/7045]	Time 0.123 (0.274)	Data 0.072 (0.206)	Loss 4.9744 (5.0922)	Prec@1 4.688 (4.005)	Prec@5 12.500 (14.283)
Epoch: [3][80/7045]	Time 0.102 (0.268)	Data 0.001 (0.201)	Loss 5.0447 (5.0939)	Prec@1 3.906 (3.979)	Prec@5 19.922 (14.323)
Epoch: [3][90/7045]	Time 0.195 (0.268)	Data 0.143 (0.202)	Loss 5.1002 (5.0904)	Prec@1 2.734 (3.992)	Prec@5 13.281 (14.496)
Epoch: [3][100/7045]	Time 0.101 (0.265)	Data 0.001 (0.199)	Loss 5.0212 (5.0875)	Prec@1 4.688 (4.030)	Prec@5 15.625 (14.484)
Epoch: [3][110/7045]	Time 0.470 (0.266)	Data 0.419 (0.201)	Loss 5.0726 (5.0881)	Prec@1 5.859 (4.068)	Prec@5 14.062 (14.474)
Epoch: [3][120/7045]	Time 0.108 (0.261)	Data 0.056 (0.196)	Loss 5.0712 (5.0887)	Prec@1 3.906 (4.090)	Prec@5 13.281 (14.472)
Epoch: [3][130/7045]	Time 0.130 (0.262)	Data 0.079 (0.197)	Loss 5.1004 (5.0936)	Prec@1 5.469 (4.073)	Prec@5 15.625 (14.396)
Epoch: [3][140/7045]	Time 0.102 (0.260)	Data 0.047 (0.196)	Loss 5.2346 (5.0956)	Prec@1 2.344 (4.025)	Prec@5 10.156 (14.367)
Epoch: [3][150/7045]	Time 0.208 (0.261)	Data 0.158 (0.197)	Loss 5.0735 (5.0960)	Prec@1 2.344 (4.028)	Prec@5 14.453 (14.337)
Epoch: [3][160/7045]	Time 0.108 (0.258)	Data 0.056 (0.195)	Loss 5.1174 (5.0943)	Prec@1 4.297 (4.023)	Prec@5 14.844 (14.388)
Epoch: [3][170/7045]	Time 0.201 (0.260)	Data 0.151 (0.197)	Loss 5.0141 (5.0937)	Prec@1 5.078 (4.018)	Prec@5 17.188 (14.389)
Epoch: [3][180/7045]	Time 0.159 (0.257)	Data 0.108 (0.194)	Loss 5.0555 (5.0898)	Prec@1 2.344 (4.059)	Prec@5 13.281 (14.436)
Epoch: [3][190/7045]	Time 0.108 (0.259)	Data 0.056 (0.196)	Loss 5.1815 (5.0913)	Prec@1 3.125 (4.047)	Prec@5 15.234 (14.400)
Epoch: [3][200/7045]	Time 0.303 (0.257)	Data 0.251 (0.194)	Loss 5.0785 (5.0916)	Prec@1 3.516 (4.040)	Prec@5 13.281 (14.381)
Epoch: [3][210/7045]	Time 0.251 (0.257)	Data 0.200 (0.194)	Loss 5.0705 (5.0895)	Prec@1 5.469 (4.060)	Prec@5 14.844 (14.412)
Epoch: [3][220/7045]	Time 0.427 (0.257)	Data 0.376 (0.194)	Loss 5.0896 (5.0897)	Prec@1 3.125 (4.071)	Prec@5 14.062 (14.402)
Epoch: [3][230/7045]	Time 0.283 (0.256)	Data 0.231 (0.193)	Loss 4.9806 (5.0900)	Prec@1 4.297 (4.097)	Prec@5 16.797 (14.397)
Epoch: [3][240/7045]	Time 0.377 (0.255)	Data 0.326 (0.192)	Loss 5.0931 (5.0912)	Prec@1 5.859 (4.110)	Prec@5 18.750 (14.432)
Epoch: [3][250/7045]	Time 0.286 (0.255)	Data 0.229 (0.192)	Loss 4.9673 (5.0902)	Prec@1 4.297 (4.109)	Prec@5 14.844 (14.461)
Epoch: [3][260/7045]	Time 0.357 (0.254)	Data 0.306 (0.191)	Loss 5.0236 (5.0895)	Prec@1 7.031 (4.114)	Prec@5 17.969 (14.503)
Epoch: [3][270/7045]	Time 0.205 (0.254)	Data 0.154 (0.191)	Loss 5.0646 (5.0916)	Prec@1 3.906 (4.115)	Prec@5 9.766 (14.488)
Epoch: [3][280/7045]	Time 0.322 (0.253)	Data 0.270 (0.190)	Loss 5.1333 (5.0919)	Prec@1 2.734 (4.095)	Prec@5 12.891 (14.478)
Epoch: [3][290/7045]	Time 0.293 (0.253)	Data 0.234 (0.190)	Loss 4.8789 (5.0911)	Prec@1 6.250 (4.106)	Prec@5 18.359 (14.488)
Epoch: [3][300/7045]	Time 0.360 (0.253)	Data 0.308 (0.190)	Loss 4.9170 (5.0908)	Prec@1 4.297 (4.097)	Prec@5 16.016 (14.508)
Epoch: [3][310/7045]	Time 0.100 (0.253)	Data 0.001 (0.191)	Loss 5.2374 (5.0915)	Prec@1 4.688 (4.098)	Prec@5 11.719 (14.490)
Epoch: [3][320/7045]	Time 0.145 (0.252)	Data 0.093 (0.189)	Loss 4.9443 (5.0904)	Prec@1 5.859 (4.109)	Prec@5 20.312 (14.540)
Epoch: [3][330/7045]	Time 0.232 (0.252)	Data 0.174 (0.190)	Loss 5.0853 (5.0887)	Prec@1 3.125 (4.106)	Prec@5 14.062 (14.584)
Epoch: [3][340/7045]	Time 0.130 (0.251)	Data 0.079 (0.189)	Loss 5.1105 (5.0877)	Prec@1 3.906 (4.106)	Prec@5 13.672 (14.580)
Epoch: [3][350/7045]	Time 0.212 (0.252)	Data 0.161 (0.190)	Loss 5.0870 (5.0876)	Prec@1 3.516 (4.107)	Prec@5 14.453 (14.578)
Epoch: [3][360/7045]	Time 0.101 (0.251)	Data 0.003 (0.190)	Loss 4.9841 (5.0867)	Prec@1 4.297 (4.104)	Prec@5 21.094 (14.622)
Epoch: [3][370/7045]	Time 0.407 (0.252)	Data 0.356 (0.190)	Loss 5.1480 (5.0855)	Prec@1 3.516 (4.115)	Prec@5 15.625 (14.655)
Epoch: [3][380/7045]	Time 0.160 (0.251)	Data 0.109 (0.190)	Loss 5.0574 (5.0845)	Prec@1 3.906 (4.097)	Prec@5 15.234 (14.678)
Epoch: [3][390/7045]	Time 0.280 (0.251)	Data 0.229 (0.190)	Loss 5.0577 (5.0847)	Prec@1 3.906 (4.079)	Prec@5 16.406 (14.667)
Epoch: [3][400/7045]	Time 0.489 (0.252)	Data 0.437 (0.191)	Loss 5.0772 (5.0853)	Prec@1 5.859 (4.082)	Prec@5 12.500 (14.663)
Epoch: [3][410/7045]	Time 0.116 (0.251)	Data 0.065 (0.190)	Loss 5.0616 (5.0843)	Prec@1 5.078 (4.076)	Prec@5 15.234 (14.656)
Epoch: [3][420/7045]	Time 0.511 (0.251)	Data 0.459 (0.190)	Loss 5.1944 (5.0840)	Prec@1 3.125 (4.075)	Prec@5 15.625 (14.661)
Epoch: [3][430/7045]	Time 0.100 (0.251)	Data 0.005 (0.190)	Loss 5.1417 (5.0855)	Prec@1 5.469 (4.077)	Prec@5 13.672 (14.640)
Epoch: [3][440/7045]	Time 0.473 (0.251)	Data 0.422 (0.190)	Loss 5.1648 (5.0857)	Prec@1 3.125 (4.081)	Prec@5 9.766 (14.619)
Epoch: [3][450/7045]	Time 0.207 (0.250)	Data 0.154 (0.190)	Loss 5.2101 (5.0878)	Prec@1 5.469 (4.073)	Prec@5 14.453 (14.590)
Epoch: [3][460/7045]	Time 0.329 (0.250)	Data 0.277 (0.190)	Loss 5.0576 (5.0880)	Prec@1 2.734 (4.076)	Prec@5 15.234 (14.565)
Epoch: [3][470/7045]	Time 0.459 (0.251)	Data 0.407 (0.190)	Loss 5.0495 (5.0875)	Prec@1 3.906 (4.080)	Prec@5 15.234 (14.593)
Epoch: [3][480/7045]	Time 0.291 (0.250)	Data 0.232 (0.190)	Loss 5.0657 (5.0869)	Prec@1 4.688 (4.099)	Prec@5 14.844 (14.595)
Epoch: [3][490/7045]	Time 0.402 (0.250)	Data 0.351 (0.190)	Loss 4.9260 (5.0866)	Prec@1 4.297 (4.089)	Prec@5 16.016 (14.611)
Epoch: [3][500/7045]	Time 0.212 (0.250)	Data 0.161 (0.190)	Loss 4.9612 (5.0871)	Prec@1 5.469 (4.077)	Prec@5 15.625 (14.594)
Epoch: [3][510/7045]	Time 0.114 (0.250)	Data 0.062 (0.190)	Loss 4.9737 (5.0872)	Prec@1 6.250 (4.082)	Prec@5 18.750 (14.587)
Epoch: [3][520/7045]	Time 0.101 (0.250)	Data 0.006 (0.189)	Loss 5.1233 (5.0864)	Prec@1 2.344 (4.086)	Prec@5 11.719 (14.603)
Epoch: [3][530/7045]	Time 0.168 (0.250)	Data 0.117 (0.189)	Loss 5.2024 (5.0869)	Prec@1 3.125 (4.092)	Prec@5 11.328 (14.609)
Epoch: [3][540/7045]	Time 0.137 (0.250)	Data 0.085 (0.190)	Loss 5.0318 (5.0855)	Prec@1 5.469 (4.095)	Prec@5 18.750 (14.629)
Epoch: [3][550/7045]	Time 0.284 (0.250)	Data 0.233 (0.190)	Loss 5.1804 (5.0861)	Prec@1 3.906 (4.087)	Prec@5 13.281 (14.601)
Epoch: [3][560/7045]	Time 0.239 (0.250)	Data 0.188 (0.190)	Loss 5.0867 (5.0860)	Prec@1 3.125 (4.083)	Prec@5 13.281 (14.588)
Epoch: [3][570/7045]	Time 0.382 (0.250)	Data 0.331 (0.190)	Loss 5.1893 (5.0869)	Prec@1 3.125 (4.082)	Prec@5 13.672 (14.569)
Epoch: [3][580/7045]	Time 0.116 (0.249)	Data 0.064 (0.190)	Loss 5.2516 (5.0877)	Prec@1 4.297 (4.082)	Prec@5 9.766 (14.541)
Epoch: [3][590/7045]	Time 0.548 (0.250)	Data 0.496 (0.190)	Loss 4.9950 (5.0867)	Prec@1 5.078 (4.089)	Prec@5 16.016 (14.556)
Epoch: [3][600/7045]	Time 0.103 (0.249)	Data 0.001 (0.189)	Loss 5.0283 (5.0855)	Prec@1 4.297 (4.093)	Prec@5 14.844 (14.569)
Epoch: [3][610/7045]	Time 0.180 (0.250)	Data 0.128 (0.190)	Loss 4.8697 (5.0846)	Prec@1 5.859 (4.102)	Prec@5 16.406 (14.567)
Epoch: [3][620/7045]	Time 0.246 (0.249)	Data 0.195 (0.189)	Loss 5.0023 (5.0853)	Prec@1 5.859 (4.104)	Prec@5 16.016 (14.559)
Epoch: [3][630/7045]	Time 0.110 (0.250)	Data 0.010 (0.189)	Loss 5.0751 (5.0854)	Prec@1 3.906 (4.107)	Prec@5 14.844 (14.559)
Epoch: [3][640/7045]	Time 0.451 (0.249)	Data 0.400 (0.189)	Loss 5.2993 (5.0855)	Prec@1 1.172 (4.104)	Prec@5 11.719 (14.552)
Epoch: [3][650/7045]	Time 0.380 (0.250)	Data 0.329 (0.189)	Loss 5.0406 (5.0860)	Prec@1 5.078 (4.107)	Prec@5 16.406 (14.546)
Epoch: [3][660/7045]	Time 0.524 (0.250)	Data 0.472 (0.189)	Loss 4.9740 (5.0855)	Prec@1 7.031 (4.108)	Prec@5 19.531 (14.555)
Epoch: [3][670/7045]	Time 0.170 (0.249)	Data 0.118 (0.189)	Loss 5.0575 (5.0859)	Prec@1 2.734 (4.104)	Prec@5 15.234 (14.547)
Epoch: [3][680/7045]	Time 0.111 (0.249)	Data 0.058 (0.189)	Loss 4.9993 (5.0854)	Prec@1 5.859 (4.107)	Prec@5 14.844 (14.567)
Epoch: [3][690/7045]	Time 0.208 (0.249)	Data 0.157 (0.189)	Loss 5.0021 (5.0848)	Prec@1 3.906 (4.111)	Prec@5 14.844 (14.577)
Epoch: [3][700/7045]	Time 0.226 (0.249)	Data 0.174 (0.189)	Loss 4.9347 (5.0846)	Prec@1 6.250 (4.116)	Prec@5 17.188 (14.580)
Epoch: [3][710/7045]	Time 0.353 (0.250)	Data 0.302 (0.189)	Loss 5.0739 (5.0844)	Prec@1 5.078 (4.121)	Prec@5 14.844 (14.580)
Epoch: [3][720/7045]	Time 0.440 (0.250)	Data 0.388 (0.189)	Loss 5.0407 (5.0835)	Prec@1 5.859 (4.121)	Prec@5 16.016 (14.592)
Epoch: [3][730/7045]	Time 0.243 (0.249)	Data 0.192 (0.189)	Loss 5.0456 (5.0827)	Prec@1 5.469 (4.122)	Prec@5 18.359 (14.609)
Epoch: [3][740/7045]	Time 0.267 (0.250)	Data 0.216 (0.189)	Loss 5.1408 (5.0827)	Prec@1 3.906 (4.112)	Prec@5 15.234 (14.608)
Epoch: [3][750/7045]	Time 0.102 (0.249)	Data 0.003 (0.189)	Loss 5.1062 (5.0831)	Prec@1 3.516 (4.109)	Prec@5 14.453 (14.593)
Epoch: [3][760/7045]	Time 0.103 (0.250)	Data 0.001 (0.189)	Loss 4.9787 (5.0825)	Prec@1 4.297 (4.114)	Prec@5 11.719 (14.607)
Epoch: [3][770/7045]	Time 0.100 (0.249)	Data 0.048 (0.189)	Loss 5.1928 (5.0827)	Prec@1 3.125 (4.110)	Prec@5 13.281 (14.601)
Epoch: [3][780/7045]	Time 0.281 (0.250)	Data 0.229 (0.189)	Loss 5.1172 (5.0820)	Prec@1 2.734 (4.104)	Prec@5 15.234 (14.603)
Epoch: [3][790/7045]	Time 0.102 (0.250)	Data 0.047 (0.189)	Loss 5.1713 (5.0828)	Prec@1 3.906 (4.100)	Prec@5 14.453 (14.590)
Epoch: [3][800/7045]	Time 0.102 (0.250)	Data 0.047 (0.189)	Loss 5.1744 (5.0830)	Prec@1 5.469 (4.106)	Prec@5 17.188 (14.590)
Epoch: [3][810/7045]	Time 0.101 (0.250)	Data 0.047 (0.189)	Loss 5.0663 (5.0833)	Prec@1 5.078 (4.102)	Prec@5 13.281 (14.579)
Epoch: [3][820/7045]	Time 0.359 (0.250)	Data 0.308 (0.189)	Loss 5.0495 (5.0833)	Prec@1 4.297 (4.107)	Prec@5 16.016 (14.580)
Epoch: [3][830/7045]	Time 0.303 (0.250)	Data 0.252 (0.189)	Loss 5.0307 (5.0830)	Prec@1 7.031 (4.105)	Prec@5 20.703 (14.593)
Epoch: [3][840/7045]	Time 0.306 (0.250)	Data 0.253 (0.189)	Loss 5.1110 (5.0832)	Prec@1 4.688 (4.099)	Prec@5 14.844 (14.592)
Epoch: [3][850/7045]	Time 0.326 (0.250)	Data 0.276 (0.189)	Loss 5.1304 (5.0831)	Prec@1 2.344 (4.094)	Prec@5 12.500 (14.585)
Epoch: [3][860/7045]	Time 0.178 (0.250)	Data 0.127 (0.189)	Loss 5.1032 (5.0831)	Prec@1 2.734 (4.090)	Prec@5 13.281 (14.587)
Epoch: [3][870/7045]	Time 0.223 (0.250)	Data 0.171 (0.189)	Loss 5.1846 (5.0834)	Prec@1 1.953 (4.088)	Prec@5 12.109 (14.597)
Epoch: [3][880/7045]	Time 0.147 (0.250)	Data 0.096 (0.189)	Loss 5.1331 (5.0830)	Prec@1 3.516 (4.092)	Prec@5 12.891 (14.607)
Epoch: [3][890/7045]	Time 0.176 (0.249)	Data 0.125 (0.189)	Loss 5.1898 (5.0833)	Prec@1 3.906 (4.086)	Prec@5 10.547 (14.596)
Epoch: [3][900/7045]	Time 0.505 (0.250)	Data 0.455 (0.189)	Loss 5.1318 (5.0835)	Prec@1 3.906 (4.087)	Prec@5 14.062 (14.592)
Epoch: [3][910/7045]	Time 0.110 (0.249)	Data 0.058 (0.189)	Loss 4.8743 (5.0829)	Prec@1 3.516 (4.083)	Prec@5 18.359 (14.596)
Epoch: [3][920/7045]	Time 0.530 (0.250)	Data 0.471 (0.189)	Loss 5.1394 (5.0828)	Prec@1 4.688 (4.081)	Prec@5 12.891 (14.595)
Epoch: [3][930/7045]	Time 0.107 (0.249)	Data 0.047 (0.189)	Loss 5.0988 (5.0822)	Prec@1 5.469 (4.080)	Prec@5 14.844 (14.604)
Epoch: [3][940/7045]	Time 0.556 (0.250)	Data 0.505 (0.189)	Loss 5.0584 (5.0822)	Prec@1 4.688 (4.077)	Prec@5 16.016 (14.600)
Epoch: [3][950/7045]	Time 0.196 (0.249)	Data 0.145 (0.189)	Loss 5.1368 (5.0821)	Prec@1 3.125 (4.079)	Prec@5 10.547 (14.606)
Epoch: [3][960/7045]	Time 0.459 (0.249)	Data 0.408 (0.189)	Loss 5.0789 (5.0820)	Prec@1 2.344 (4.082)	Prec@5 13.672 (14.609)
Epoch: [3][970/7045]	Time 0.101 (0.249)	Data 0.006 (0.189)	Loss 5.1682 (5.0820)	Prec@1 3.516 (4.079)	Prec@5 12.891 (14.602)
Epoch: [3][980/7045]	Time 0.320 (0.249)	Data 0.269 (0.189)	Loss 5.0552 (5.0819)	Prec@1 6.250 (4.077)	Prec@5 16.016 (14.603)
Epoch: [3][990/7045]	Time 0.102 (0.249)	Data 0.006 (0.189)	Loss 4.8877 (5.0817)	Prec@1 4.297 (4.079)	Prec@5 17.578 (14.606)
Epoch: [3][1000/7045]	Time 0.106 (0.249)	Data 0.003 (0.189)	Loss 5.1641 (5.0818)	Prec@1 3.516 (4.080)	Prec@5 14.453 (14.609)
Epoch: [3][1010/7045]	Time 0.103 (0.249)	Data 0.001 (0.188)	Loss 5.0489 (5.0816)	Prec@1 2.344 (4.081)	Prec@5 14.453 (14.607)
Epoch: [3][1020/7045]	Time 0.108 (0.249)	Data 0.005 (0.188)	Loss 4.9465 (5.0814)	Prec@1 2.344 (4.084)	Prec@5 14.062 (14.617)
Epoch: [3][1030/7045]	Time 0.212 (0.249)	Data 0.161 (0.188)	Loss 5.1772 (5.0812)	Prec@1 3.125 (4.090)	Prec@5 12.891 (14.616)
Epoch: [3][1040/7045]	Time 0.199 (0.249)	Data 0.147 (0.188)	Loss 5.1450 (5.0813)	Prec@1 3.125 (4.093)	Prec@5 14.062 (14.616)
Epoch: [3][1050/7045]	Time 0.538 (0.249)	Data 0.488 (0.188)	Loss 4.9693 (5.0812)	Prec@1 8.203 (4.097)	Prec@5 19.922 (14.632)
Epoch: [3][1060/7045]	Time 0.102 (0.249)	Data 0.001 (0.188)	Loss 4.8956 (5.0804)	Prec@1 6.641 (4.105)	Prec@5 17.578 (14.649)
Epoch: [3][1070/7045]	Time 0.509 (0.249)	Data 0.456 (0.188)	Loss 5.0595 (5.0798)	Prec@1 3.125 (4.104)	Prec@5 13.281 (14.646)
Epoch: [3][1080/7045]	Time 0.247 (0.249)	Data 0.196 (0.188)	Loss 5.1344 (5.0796)	Prec@1 1.562 (4.102)	Prec@5 12.500 (14.648)
Epoch: [3][1090/7045]	Time 0.106 (0.249)	Data 0.003 (0.188)	Loss 5.0472 (5.0803)	Prec@1 5.469 (4.095)	Prec@5 15.234 (14.635)
Epoch: [3][1100/7045]	Time 0.412 (0.249)	Data 0.362 (0.188)	Loss 4.9459 (5.0806)	Prec@1 3.906 (4.089)	Prec@5 16.016 (14.616)
Epoch: [3][1110/7045]	Time 0.187 (0.249)	Data 0.136 (0.188)	Loss 5.0576 (5.0806)	Prec@1 4.297 (4.094)	Prec@5 16.406 (14.620)
Epoch: [3][1120/7045]	Time 0.408 (0.249)	Data 0.356 (0.188)	Loss 5.0531 (5.0804)	Prec@1 2.734 (4.088)	Prec@5 15.234 (14.620)
Epoch: [3][1130/7045]	Time 0.239 (0.249)	Data 0.188 (0.188)	Loss 5.0418 (5.0807)	Prec@1 3.906 (4.084)	Prec@5 18.750 (14.621)
Epoch: [3][1140/7045]	Time 0.510 (0.249)	Data 0.453 (0.188)	Loss 5.0487 (5.0809)	Prec@1 3.125 (4.085)	Prec@5 15.625 (14.620)
Epoch: [3][1150/7045]	Time 0.194 (0.249)	Data 0.142 (0.188)	Loss 5.0377 (5.0808)	Prec@1 3.125 (4.085)	Prec@5 15.234 (14.626)
Epoch: [3][1160/7045]	Time 0.496 (0.249)	Data 0.446 (0.188)	Loss 5.0035 (5.0809)	Prec@1 4.297 (4.085)	Prec@5 14.844 (14.625)
Epoch: [3][1170/7045]	Time 0.102 (0.249)	Data 0.050 (0.188)	Loss 5.1333 (5.0807)	Prec@1 1.953 (4.090)	Prec@5 15.625 (14.633)
Epoch: [3][1180/7045]	Time 0.348 (0.249)	Data 0.296 (0.188)	Loss 5.1362 (5.0813)	Prec@1 4.297 (4.085)	Prec@5 14.062 (14.622)
Epoch: [3][1190/7045]	Time 0.151 (0.249)	Data 0.099 (0.187)	Loss 5.3399 (5.0828)	Prec@1 1.953 (4.075)	Prec@5 8.594 (14.596)
Epoch: [3][1200/7045]	Time 0.155 (0.249)	Data 0.104 (0.188)	Loss 5.1752 (5.0837)	Prec@1 1.953 (4.070)	Prec@5 11.328 (14.581)
Epoch: [3][1210/7045]	Time 0.321 (0.249)	Data 0.270 (0.188)	Loss 5.2527 (5.0850)	Prec@1 3.906 (4.064)	Prec@5 12.109 (14.561)
Epoch: [3][1220/7045]	Time 0.274 (0.249)	Data 0.223 (0.188)	Loss 5.0659 (5.0860)	Prec@1 5.078 (4.058)	Prec@5 14.062 (14.549)
Epoch: [3][1230/7045]	Time 0.559 (0.249)	Data 0.508 (0.188)	Loss 5.0713 (5.0867)	Prec@1 5.078 (4.055)	Prec@5 12.109 (14.531)
Epoch: [3][1240/7045]	Time 0.107 (0.248)	Data 0.055 (0.188)	Loss 5.1397 (5.0871)	Prec@1 3.906 (4.060)	Prec@5 15.625 (14.524)
Epoch: [3][1250/7045]	Time 0.517 (0.249)	Data 0.466 (0.188)	Loss 5.2112 (5.0874)	Prec@1 3.906 (4.058)	Prec@5 12.109 (14.516)
Epoch: [3][1260/7045]	Time 0.151 (0.248)	Data 0.099 (0.188)	Loss 5.0832 (5.0874)	Prec@1 5.078 (4.062)	Prec@5 14.453 (14.514)
Epoch: [3][1270/7045]	Time 0.377 (0.248)	Data 0.326 (0.188)	Loss 5.2175 (5.0872)	Prec@1 3.516 (4.068)	Prec@5 12.109 (14.519)
Epoch: [3][1280/7045]	Time 0.103 (0.248)	Data 0.050 (0.188)	Loss 4.9497 (5.0872)	Prec@1 7.031 (4.074)	Prec@5 18.750 (14.515)
Epoch: [3][1290/7045]	Time 0.294 (0.248)	Data 0.237 (0.188)	Loss 5.1133 (5.0868)	Prec@1 4.688 (4.071)	Prec@5 14.453 (14.519)
Epoch: [3][1300/7045]	Time 0.102 (0.248)	Data 0.005 (0.187)	Loss 5.0107 (5.0867)	Prec@1 5.859 (4.068)	Prec@5 17.578 (14.513)
Epoch: [3][1310/7045]	Time 0.110 (0.248)	Data 0.001 (0.188)	Loss 5.0024 (5.0866)	Prec@1 4.688 (4.071)	Prec@5 16.016 (14.513)
Epoch: [3][1320/7045]	Time 0.101 (0.248)	Data 0.047 (0.187)	Loss 5.1400 (5.0867)	Prec@1 5.078 (4.072)	Prec@5 17.188 (14.516)
Epoch: [3][1330/7045]	Time 0.119 (0.248)	Data 0.058 (0.187)	Loss 5.0416 (5.0865)	Prec@1 2.734 (4.072)	Prec@5 15.625 (14.519)
Epoch: [3][1340/7045]	Time 0.100 (0.248)	Data 0.047 (0.187)	Loss 5.0100 (5.0863)	Prec@1 5.469 (4.072)	Prec@5 17.188 (14.524)
Epoch: [3][1350/7045]	Time 0.311 (0.248)	Data 0.260 (0.187)	Loss 5.2122 (5.0865)	Prec@1 2.344 (4.075)	Prec@5 10.156 (14.530)
Epoch: [3][1360/7045]	Time 0.216 (0.248)	Data 0.165 (0.187)	Loss 5.1427 (5.0867)	Prec@1 3.125 (4.074)	Prec@5 12.109 (14.525)
Epoch: [3][1370/7045]	Time 0.156 (0.248)	Data 0.106 (0.187)	Loss 5.2286 (5.0870)	Prec@1 3.516 (4.072)	Prec@5 12.109 (14.522)
Epoch: [3][1380/7045]	Time 0.207 (0.248)	Data 0.154 (0.187)	Loss 5.2356 (5.0877)	Prec@1 4.297 (4.066)	Prec@5 11.719 (14.507)
Epoch: [3][1390/7045]	Time 0.101 (0.248)	Data 0.004 (0.187)	Loss 4.9532 (5.0874)	Prec@1 3.516 (4.067)	Prec@5 16.406 (14.513)
Epoch: [3][1400/7045]	Time 0.245 (0.248)	Data 0.193 (0.187)	Loss 5.1415 (5.0871)	Prec@1 2.734 (4.068)	Prec@5 13.281 (14.514)
Epoch: [3][1410/7045]	Time 0.100 (0.248)	Data 0.007 (0.187)	Loss 5.1056 (5.0871)	Prec@1 3.516 (4.069)	Prec@5 12.500 (14.510)
Epoch: [3][1420/7045]	Time 0.107 (0.248)	Data 0.054 (0.187)	Loss 4.9805 (5.0871)	Prec@1 5.469 (4.069)	Prec@5 19.141 (14.511)
Epoch: [3][1430/7045]	Time 0.103 (0.248)	Data 0.001 (0.187)	Loss 5.1949 (5.0868)	Prec@1 5.078 (4.071)	Prec@5 12.891 (14.515)
Epoch: [3][1440/7045]	Time 0.161 (0.248)	Data 0.109 (0.187)	Loss 4.9546 (5.0872)	Prec@1 6.641 (4.065)	Prec@5 19.922 (14.510)
Epoch: [3][1450/7045]	Time 0.261 (0.248)	Data 0.210 (0.187)	Loss 5.0707 (5.0873)	Prec@1 4.297 (4.064)	Prec@5 12.500 (14.508)
Epoch: [3][1460/7045]	Time 0.101 (0.248)	Data 0.047 (0.187)	Loss 5.0741 (5.0870)	Prec@1 3.906 (4.066)	Prec@5 13.672 (14.516)
Epoch: [3][1470/7045]	Time 0.412 (0.248)	Data 0.361 (0.188)	Loss 5.1632 (5.0865)	Prec@1 3.125 (4.070)	Prec@5 12.891 (14.523)
Epoch: [3][1480/7045]	Time 0.339 (0.248)	Data 0.288 (0.188)	Loss 5.0145 (5.0861)	Prec@1 5.469 (4.074)	Prec@5 15.234 (14.530)
Epoch: [3][1490/7045]	Time 0.376 (0.248)	Data 0.325 (0.187)	Loss 4.9492 (5.0856)	Prec@1 5.469 (4.078)	Prec@5 17.969 (14.540)
Epoch: [3][1500/7045]	Time 0.436 (0.248)	Data 0.385 (0.187)	Loss 5.1362 (5.0857)	Prec@1 4.688 (4.075)	Prec@5 14.844 (14.536)
Epoch: [3][1510/7045]	Time 0.217 (0.248)	Data 0.166 (0.187)	Loss 5.0628 (5.0851)	Prec@1 4.688 (4.081)	Prec@5 13.672 (14.550)
Epoch: [3][1520/7045]	Time 0.368 (0.248)	Data 0.310 (0.187)	Loss 4.9904 (5.0845)	Prec@1 5.469 (4.086)	Prec@5 16.406 (14.557)
Epoch: [3][1530/7045]	Time 0.302 (0.248)	Data 0.251 (0.187)	Loss 5.0680 (5.0844)	Prec@1 2.734 (4.085)	Prec@5 10.156 (14.555)
Epoch: [3][1540/7045]	Time 0.331 (0.248)	Data 0.280 (0.187)	Loss 5.1049 (5.0842)	Prec@1 4.688 (4.088)	Prec@5 12.500 (14.558)
Epoch: [3][1550/7045]	Time 0.395 (0.248)	Data 0.336 (0.187)	Loss 5.0827 (5.0844)	Prec@1 5.078 (4.088)	Prec@5 14.062 (14.552)
Epoch: [3][1560/7045]	Time 0.275 (0.248)	Data 0.224 (0.187)	Loss 5.0409 (5.0843)	Prec@1 5.469 (4.090)	Prec@5 13.672 (14.551)
Epoch: [3][1570/7045]	Time 0.488 (0.248)	Data 0.437 (0.187)	Loss 5.2295 (5.0843)	Prec@1 2.344 (4.090)	Prec@5 13.281 (14.550)
Epoch: [3][1580/7045]	Time 0.310 (0.248)	Data 0.253 (0.187)	Loss 5.0201 (5.0841)	Prec@1 3.516 (4.092)	Prec@5 14.844 (14.558)
Epoch: [3][1590/7045]	Time 0.391 (0.248)	Data 0.341 (0.187)	Loss 5.0727 (5.0841)	Prec@1 4.297 (4.093)	Prec@5 14.844 (14.562)
Epoch: [3][1600/7045]	Time 0.260 (0.248)	Data 0.209 (0.187)	Loss 4.8811 (5.0841)	Prec@1 4.688 (4.094)	Prec@5 19.141 (14.564)
Epoch: [3][1610/7045]	Time 0.371 (0.248)	Data 0.319 (0.187)	Loss 5.0875 (5.0838)	Prec@1 3.906 (4.098)	Prec@5 15.234 (14.574)
Epoch: [3][1620/7045]	Time 0.193 (0.248)	Data 0.137 (0.187)	Loss 4.8477 (5.0834)	Prec@1 6.641 (4.102)	Prec@5 23.047 (14.583)
Epoch: [3][1630/7045]	Time 0.355 (0.248)	Data 0.304 (0.187)	Loss 4.9719 (5.0831)	Prec@1 4.297 (4.104)	Prec@5 16.797 (14.587)
Epoch: [3][1640/7045]	Time 0.140 (0.248)	Data 0.088 (0.187)	Loss 5.0004 (5.0830)	Prec@1 5.469 (4.105)	Prec@5 17.578 (14.592)
Epoch: [3][1650/7045]	Time 0.285 (0.248)	Data 0.235 (0.187)	Loss 4.9970 (5.0828)	Prec@1 5.859 (4.109)	Prec@5 16.797 (14.597)
Epoch: [3][1660/7045]	Time 0.152 (0.248)	Data 0.095 (0.187)	Loss 5.0808 (5.0822)	Prec@1 4.297 (4.112)	Prec@5 14.844 (14.605)
Epoch: [3][1670/7045]	Time 0.159 (0.248)	Data 0.108 (0.187)	Loss 4.9697 (5.0820)	Prec@1 5.078 (4.116)	Prec@5 16.406 (14.615)
Epoch: [3][1680/7045]	Time 0.160 (0.248)	Data 0.108 (0.187)	Loss 5.0283 (5.0815)	Prec@1 2.734 (4.122)	Prec@5 14.453 (14.626)
Epoch: [3][1690/7045]	Time 0.101 (0.248)	Data 0.001 (0.187)	Loss 4.9765 (5.0811)	Prec@1 6.250 (4.125)	Prec@5 16.406 (14.634)
Epoch: [3][1700/7045]	Time 0.250 (0.247)	Data 0.199 (0.187)	Loss 5.0339 (5.0807)	Prec@1 5.078 (4.128)	Prec@5 16.016 (14.643)
Epoch: [3][1710/7045]	Time 0.102 (0.247)	Data 0.001 (0.187)	Loss 5.0824 (5.0804)	Prec@1 4.297 (4.128)	Prec@5 14.062 (14.646)
Epoch: [3][1720/7045]	Time 0.377 (0.247)	Data 0.325 (0.187)	Loss 5.0089 (5.0801)	Prec@1 6.641 (4.132)	Prec@5 19.531 (14.660)
Epoch: [3][1730/7045]	Time 0.110 (0.247)	Data 0.004 (0.187)	Loss 4.9779 (5.0798)	Prec@1 3.906 (4.132)	Prec@5 22.656 (14.662)
Epoch: [3][1740/7045]	Time 0.335 (0.247)	Data 0.283 (0.187)	Loss 4.9660 (5.0794)	Prec@1 3.125 (4.132)	Prec@5 15.234 (14.665)
Epoch: [3][1750/7045]	Time 0.103 (0.247)	Data 0.051 (0.187)	Loss 4.9982 (5.0789)	Prec@1 4.297 (4.134)	Prec@5 17.188 (14.676)
Epoch: [3][1760/7045]	Time 0.261 (0.247)	Data 0.210 (0.186)	Loss 4.9006 (5.0785)	Prec@1 5.859 (4.138)	Prec@5 15.625 (14.685)
Epoch: [3][1770/7045]	Time 0.178 (0.247)	Data 0.127 (0.187)	Loss 4.9524 (5.0784)	Prec@1 5.078 (4.137)	Prec@5 18.750 (14.691)
Epoch: [3][1780/7045]	Time 0.252 (0.247)	Data 0.201 (0.186)	Loss 4.8210 (5.0785)	Prec@1 6.641 (4.139)	Prec@5 23.438 (14.691)
Epoch: [3][1790/7045]	Time 0.102 (0.247)	Data 0.009 (0.186)	Loss 4.8794 (5.0779)	Prec@1 5.078 (4.142)	Prec@5 19.531 (14.705)
Epoch: [3][1800/7045]	Time 0.168 (0.247)	Data 0.118 (0.186)	Loss 5.1185 (5.0776)	Prec@1 2.734 (4.141)	Prec@5 12.500 (14.708)
Epoch: [3][1810/7045]	Time 0.108 (0.247)	Data 0.006 (0.186)	Loss 4.9138 (5.0771)	Prec@1 5.078 (4.144)	Prec@5 21.484 (14.718)
Epoch: [3][1820/7045]	Time 0.111 (0.247)	Data 0.060 (0.186)	Loss 5.0407 (5.0769)	Prec@1 3.516 (4.144)	Prec@5 17.188 (14.720)
Epoch: [3][1830/7045]	Time 0.112 (0.247)	Data 0.059 (0.186)	Loss 4.9615 (5.0768)	Prec@1 3.516 (4.143)	Prec@5 16.016 (14.724)
Epoch: [3][1840/7045]	Time 0.108 (0.247)	Data 0.054 (0.186)	Loss 5.1194 (5.0766)	Prec@1 4.688 (4.147)	Prec@5 13.672 (14.730)
Epoch: [3][1850/7045]	Time 0.102 (0.247)	Data 0.046 (0.186)	Loss 5.0654 (5.0765)	Prec@1 3.125 (4.149)	Prec@5 11.328 (14.731)
Epoch: [3][1860/7045]	Time 0.136 (0.247)	Data 0.086 (0.186)	Loss 4.9443 (5.0763)	Prec@1 6.641 (4.152)	Prec@5 16.016 (14.740)
Epoch: [3][1870/7045]	Time 0.111 (0.247)	Data 0.059 (0.186)	Loss 5.1283 (5.0762)	Prec@1 3.125 (4.152)	Prec@5 14.453 (14.741)
Epoch: [3][1880/7045]	Time 0.101 (0.247)	Data 0.001 (0.186)	Loss 5.0933 (5.0760)	Prec@1 3.125 (4.151)	Prec@5 13.281 (14.743)
Epoch: [3][1890/7045]	Time 0.103 (0.247)	Data 0.001 (0.186)	Loss 5.1654 (5.0759)	Prec@1 1.953 (4.151)	Prec@5 10.156 (14.743)
Epoch: [3][1900/7045]	Time 0.359 (0.247)	Data 0.307 (0.186)	Loss 5.0349 (5.0757)	Prec@1 3.516 (4.147)	Prec@5 16.406 (14.740)
Epoch: [3][1910/7045]	Time 0.209 (0.247)	Data 0.158 (0.186)	Loss 5.2417 (5.0760)	Prec@1 2.344 (4.144)	Prec@5 8.594 (14.732)
Epoch: [3][1920/7045]	Time 0.158 (0.247)	Data 0.107 (0.186)	Loss 5.0416 (5.0760)	Prec@1 3.516 (4.143)	Prec@5 15.625 (14.729)
Epoch: [3][1930/7045]	Time 0.179 (0.247)	Data 0.128 (0.186)	Loss 5.0993 (5.0760)	Prec@1 5.078 (4.143)	Prec@5 14.453 (14.727)
Epoch: [3][1940/7045]	Time 0.339 (0.247)	Data 0.287 (0.186)	Loss 4.9663 (5.0758)	Prec@1 6.250 (4.145)	Prec@5 15.234 (14.726)
Epoch: [3][1950/7045]	Time 0.100 (0.247)	Data 0.005 (0.186)	Loss 5.0766 (5.0760)	Prec@1 4.688 (4.143)	Prec@5 14.844 (14.724)
Epoch: [3][1960/7045]	Time 0.457 (0.247)	Data 0.406 (0.186)	Loss 5.0974 (5.0761)	Prec@1 4.297 (4.141)	Prec@5 14.453 (14.716)
Epoch: [3][1970/7045]	Time 0.101 (0.247)	Data 0.001 (0.186)	Loss 5.0001 (5.0759)	Prec@1 4.688 (4.144)	Prec@5 18.750 (14.717)
Epoch: [3][1980/7045]	Time 0.469 (0.247)	Data 0.417 (0.187)	Loss 5.1888 (5.0755)	Prec@1 3.906 (4.145)	Prec@5 12.891 (14.722)
Epoch: [3][1990/7045]	Time 0.105 (0.247)	Data 0.053 (0.186)	Loss 5.0650 (5.0754)	Prec@1 3.906 (4.145)	Prec@5 15.234 (14.720)
Epoch: [3][2000/7045]	Time 0.509 (0.247)	Data 0.457 (0.187)	Loss 4.9794 (5.0753)	Prec@1 2.344 (4.143)	Prec@5 15.234 (14.724)
Epoch: [3][2010/7045]	Time 0.404 (0.247)	Data 0.352 (0.187)	Loss 4.8506 (5.0750)	Prec@1 4.688 (4.144)	Prec@5 16.797 (14.726)
Epoch: [3][2020/7045]	Time 0.317 (0.247)	Data 0.265 (0.186)	Loss 5.0776 (5.0751)	Prec@1 5.859 (4.144)	Prec@5 17.578 (14.726)
Epoch: [3][2030/7045]	Time 0.172 (0.247)	Data 0.120 (0.186)	Loss 4.9138 (5.0748)	Prec@1 3.906 (4.146)	Prec@5 16.406 (14.730)
Epoch: [3][2040/7045]	Time 0.101 (0.247)	Data 0.003 (0.186)	Loss 5.1181 (5.0749)	Prec@1 3.516 (4.146)	Prec@5 16.406 (14.732)
Epoch: [3][2050/7045]	Time 0.221 (0.247)	Data 0.170 (0.186)	Loss 5.1045 (5.0749)	Prec@1 4.688 (4.148)	Prec@5 14.453 (14.727)
Epoch: [3][2060/7045]	Time 0.162 (0.247)	Data 0.110 (0.187)	Loss 4.9036 (5.0746)	Prec@1 3.125 (4.150)	Prec@5 16.406 (14.731)
Epoch: [3][2070/7045]	Time 0.122 (0.247)	Data 0.071 (0.186)	Loss 4.9676 (5.0744)	Prec@1 5.078 (4.153)	Prec@5 17.578 (14.735)
Epoch: [3][2080/7045]	Time 0.350 (0.247)	Data 0.293 (0.187)	Loss 5.0073 (5.0743)	Prec@1 5.078 (4.156)	Prec@5 15.234 (14.738)
Epoch: [3][2090/7045]	Time 0.360 (0.247)	Data 0.308 (0.187)	Loss 4.9605 (5.0738)	Prec@1 6.250 (4.162)	Prec@5 19.141 (14.754)
Epoch: [3][2100/7045]	Time 0.181 (0.247)	Data 0.130 (0.187)	Loss 5.1091 (5.0736)	Prec@1 3.125 (4.159)	Prec@5 15.234 (14.752)
Epoch: [3][2110/7045]	Time 0.185 (0.247)	Data 0.127 (0.187)	Loss 5.1592 (5.0736)	Prec@1 3.906 (4.158)	Prec@5 12.891 (14.750)
Epoch: [3][2120/7045]	Time 0.102 (0.247)	Data 0.001 (0.187)	Loss 5.0075 (5.0732)	Prec@1 3.906 (4.164)	Prec@5 17.188 (14.761)
Epoch: [3][2130/7045]	Time 0.170 (0.247)	Data 0.119 (0.187)	Loss 4.8459 (5.0729)	Prec@1 6.250 (4.170)	Prec@5 19.531 (14.767)
Epoch: [3][2140/7045]	Time 0.270 (0.247)	Data 0.219 (0.187)	Loss 5.1811 (5.0726)	Prec@1 3.125 (4.172)	Prec@5 11.719 (14.769)
Epoch: [3][2150/7045]	Time 0.110 (0.247)	Data 0.058 (0.187)	Loss 5.1376 (5.0726)	Prec@1 3.516 (4.173)	Prec@5 16.016 (14.771)
Epoch: [3][2160/7045]	Time 0.449 (0.247)	Data 0.390 (0.187)	Loss 5.1004 (5.0723)	Prec@1 3.516 (4.176)	Prec@5 12.500 (14.773)
Epoch: [3][2170/7045]	Time 0.109 (0.247)	Data 0.058 (0.187)	Loss 5.0334 (5.0722)	Prec@1 5.469 (4.180)	Prec@5 14.453 (14.778)
Epoch: [3][2180/7045]	Time 0.135 (0.247)	Data 0.083 (0.187)	Loss 4.9702 (5.0720)	Prec@1 5.469 (4.183)	Prec@5 13.281 (14.780)
Epoch: [3][2190/7045]	Time 0.343 (0.248)	Data 0.291 (0.187)	Loss 5.1824 (5.0720)	Prec@1 1.953 (4.182)	Prec@5 9.375 (14.777)
Epoch: [3][2200/7045]	Time 0.268 (0.248)	Data 0.217 (0.187)	Loss 4.9559 (5.0718)	Prec@1 3.906 (4.182)	Prec@5 16.797 (14.782)
Epoch: [3][2210/7045]	Time 0.175 (0.248)	Data 0.123 (0.187)	Loss 5.0237 (5.0715)	Prec@1 4.688 (4.184)	Prec@5 16.016 (14.787)
Epoch: [3][2220/7045]	Time 0.770 (0.248)	Data 0.714 (0.187)	Loss 4.9639 (5.0713)	Prec@1 5.859 (4.186)	Prec@5 14.453 (14.787)
Epoch: [3][2230/7045]	Time 0.173 (0.248)	Data 0.121 (0.187)	Loss 5.0532 (5.0711)	Prec@1 2.734 (4.184)	Prec@5 13.672 (14.791)
Epoch: [3][2240/7045]	Time 0.482 (0.248)	Data 0.419 (0.187)	Loss 5.0724 (5.0709)	Prec@1 5.078 (4.186)	Prec@5 13.672 (14.789)
Epoch: [3][2250/7045]	Time 0.166 (0.248)	Data 0.115 (0.187)	Loss 5.1248 (5.0712)	Prec@1 1.953 (4.184)	Prec@5 13.281 (14.783)
Epoch: [3][2260/7045]	Time 0.107 (0.248)	Data 0.001 (0.187)	Loss 4.9687 (5.0715)	Prec@1 5.469 (4.183)	Prec@5 17.969 (14.783)
Epoch: [3][2270/7045]	Time 0.111 (0.248)	Data 0.058 (0.187)	Loss 5.1869 (5.0715)	Prec@1 2.734 (4.181)	Prec@5 13.281 (14.784)
Epoch: [3][2280/7045]	Time 0.366 (0.248)	Data 0.316 (0.187)	Loss 4.9659 (5.0715)	Prec@1 4.297 (4.180)	Prec@5 18.359 (14.782)
Epoch: [3][2290/7045]	Time 0.250 (0.248)	Data 0.199 (0.187)	Loss 5.1412 (5.0716)	Prec@1 3.516 (4.180)	Prec@5 13.281 (14.779)
Epoch: [3][2300/7045]	Time 0.428 (0.248)	Data 0.376 (0.187)	Loss 5.0636 (5.0717)	Prec@1 5.859 (4.179)	Prec@5 16.016 (14.781)
Epoch: [3][2310/7045]	Time 0.102 (0.248)	Data 0.005 (0.187)	Loss 5.1656 (5.0718)	Prec@1 4.297 (4.177)	Prec@5 12.500 (14.778)
Epoch: [3][2320/7045]	Time 0.168 (0.248)	Data 0.116 (0.187)	Loss 5.0448 (5.0720)	Prec@1 3.516 (4.173)	Prec@5 20.312 (14.775)
Epoch: [3][2330/7045]	Time 0.111 (0.248)	Data 0.060 (0.187)	Loss 4.9847 (5.0721)	Prec@1 7.031 (4.173)	Prec@5 15.625 (14.768)
Epoch: [3][2340/7045]	Time 0.128 (0.248)	Data 0.076 (0.187)	Loss 5.0393 (5.0718)	Prec@1 5.078 (4.176)	Prec@5 14.062 (14.770)
Epoch: [3][2350/7045]	Time 0.265 (0.248)	Data 0.215 (0.187)	Loss 5.2531 (5.0720)	Prec@1 3.516 (4.176)	Prec@5 11.328 (14.766)
Epoch: [3][2360/7045]	Time 0.102 (0.248)	Data 0.001 (0.187)	Loss 4.9490 (5.0720)	Prec@1 4.297 (4.177)	Prec@5 17.969 (14.767)
Epoch: [3][2370/7045]	Time 0.102 (0.248)	Data 0.008 (0.187)	Loss 5.2123 (5.0723)	Prec@1 3.516 (4.173)	Prec@5 12.891 (14.762)
Epoch: [3][2380/7045]	Time 0.102 (0.248)	Data 0.001 (0.187)	Loss 5.0336 (5.0723)	Prec@1 3.516 (4.173)	Prec@5 12.500 (14.762)
Epoch: [3][2390/7045]	Time 0.320 (0.248)	Data 0.260 (0.187)	Loss 5.2239 (5.0726)	Prec@1 2.344 (4.173)	Prec@5 9.766 (14.755)
Epoch: [3][2400/7045]	Time 0.231 (0.248)	Data 0.180 (0.187)	Loss 5.1622 (5.0730)	Prec@1 4.297 (4.170)	Prec@5 11.719 (14.745)
Epoch: [3][2410/7045]	Time 0.204 (0.248)	Data 0.153 (0.187)	Loss 5.1563 (5.0730)	Prec@1 1.562 (4.170)	Prec@5 10.938 (14.748)
Epoch: [3][2420/7045]	Time 0.506 (0.248)	Data 0.455 (0.187)	Loss 4.9800 (5.0727)	Prec@1 4.688 (4.173)	Prec@5 15.234 (14.752)
Epoch: [3][2430/7045]	Time 0.118 (0.248)	Data 0.061 (0.187)	Loss 5.0553 (5.0726)	Prec@1 4.688 (4.173)	Prec@5 14.453 (14.752)
Epoch: [3][2440/7045]	Time 0.515 (0.248)	Data 0.463 (0.187)	Loss 5.1405 (5.0724)	Prec@1 4.688 (4.177)	Prec@5 12.109 (14.755)
Epoch: [3][2450/7045]	Time 0.101 (0.248)	Data 0.001 (0.187)	Loss 5.1021 (5.0724)	Prec@1 3.516 (4.176)	Prec@5 16.406 (14.756)
Epoch: [3][2460/7045]	Time 0.199 (0.248)	Data 0.148 (0.187)	Loss 5.1735 (5.0724)	Prec@1 5.078 (4.175)	Prec@5 13.672 (14.755)
Epoch: [3][2470/7045]	Time 0.102 (0.248)	Data 0.005 (0.187)	Loss 4.9837 (5.0725)	Prec@1 4.688 (4.175)	Prec@5 16.406 (14.757)
Epoch: [3][2480/7045]	Time 0.101 (0.248)	Data 0.001 (0.187)	Loss 5.0249 (5.0724)	Prec@1 2.734 (4.173)	Prec@5 14.453 (14.756)
Epoch: [3][2490/7045]	Time 0.257 (0.248)	Data 0.206 (0.187)	Loss 5.1136 (5.0723)	Prec@1 1.562 (4.174)	Prec@5 10.938 (14.758)
Epoch: [3][2500/7045]	Time 0.131 (0.248)	Data 0.078 (0.187)	Loss 5.0302 (5.0722)	Prec@1 1.953 (4.172)	Prec@5 16.016 (14.759)
Epoch: [3][2510/7045]	Time 0.127 (0.248)	Data 0.069 (0.187)	Loss 5.1926 (5.0723)	Prec@1 4.688 (4.173)	Prec@5 17.188 (14.760)
Epoch: [3][2520/7045]	Time 0.102 (0.248)	Data 0.001 (0.187)	Loss 5.0830 (5.0724)	Prec@1 5.469 (4.174)	Prec@5 12.500 (14.758)
Epoch: [3][2530/7045]	Time 0.107 (0.248)	Data 0.001 (0.187)	Loss 5.0423 (5.0724)	Prec@1 4.297 (4.174)	Prec@5 12.500 (14.755)
Epoch: [3][2540/7045]	Time 0.127 (0.248)	Data 0.077 (0.187)	Loss 4.9850 (5.0722)	Prec@1 6.250 (4.175)	Prec@5 19.922 (14.758)
Epoch: [3][2550/7045]	Time 0.160 (0.248)	Data 0.109 (0.187)	Loss 5.1453 (5.0723)	Prec@1 2.344 (4.173)	Prec@5 14.453 (14.758)
Epoch: [3][2560/7045]	Time 0.219 (0.248)	Data 0.167 (0.187)	Loss 4.9311 (5.0725)	Prec@1 5.078 (4.172)	Prec@5 16.406 (14.755)
Epoch: [3][2570/7045]	Time 0.287 (0.248)	Data 0.236 (0.187)	Loss 5.0306 (5.0725)	Prec@1 3.906 (4.169)	Prec@5 14.453 (14.752)
Epoch: [3][2580/7045]	Time 0.447 (0.248)	Data 0.395 (0.187)	Loss 5.0297 (5.0724)	Prec@1 3.906 (4.168)	Prec@5 15.234 (14.754)
Epoch: [3][2590/7045]	Time 0.108 (0.248)	Data 0.056 (0.187)	Loss 5.1385 (5.0726)	Prec@1 3.516 (4.166)	Prec@5 14.062 (14.751)
Epoch: [3][2600/7045]	Time 0.517 (0.248)	Data 0.466 (0.187)	Loss 5.1011 (5.0727)	Prec@1 3.125 (4.163)	Prec@5 13.672 (14.746)
Epoch: [3][2610/7045]	Time 0.102 (0.248)	Data 0.001 (0.187)	Loss 5.0683 (5.0727)	Prec@1 6.250 (4.163)	Prec@5 16.406 (14.743)
Epoch: [3][2620/7045]	Time 0.473 (0.248)	Data 0.423 (0.187)	Loss 5.0869 (5.0729)	Prec@1 3.125 (4.163)	Prec@5 15.234 (14.737)
Epoch: [3][2630/7045]	Time 0.370 (0.248)	Data 0.319 (0.187)	Loss 5.0331 (5.0732)	Prec@1 6.641 (4.161)	Prec@5 18.359 (14.732)
Epoch: [3][2640/7045]	Time 0.301 (0.248)	Data 0.250 (0.187)	Loss 5.0891 (5.0737)	Prec@1 4.297 (4.161)	Prec@5 14.844 (14.726)
Epoch: [3][2650/7045]	Time 0.470 (0.248)	Data 0.419 (0.187)	Loss 4.9976 (5.0739)	Prec@1 4.688 (4.159)	Prec@5 18.359 (14.722)
Epoch: [3][2660/7045]	Time 0.103 (0.248)	Data 0.001 (0.187)	Loss 4.9269 (5.0740)	Prec@1 4.297 (4.158)	Prec@5 20.703 (14.722)
Epoch: [3][2670/7045]	Time 0.857 (0.248)	Data 0.805 (0.187)	Loss 5.1720 (5.0741)	Prec@1 0.781 (4.155)	Prec@5 8.984 (14.716)
Epoch: [3][2680/7045]	Time 0.166 (0.248)	Data 0.114 (0.187)	Loss 5.0949 (5.0742)	Prec@1 1.953 (4.152)	Prec@5 15.234 (14.713)
Epoch: [3][2690/7045]	Time 0.291 (0.248)	Data 0.240 (0.187)	Loss 4.9850 (5.0740)	Prec@1 6.641 (4.154)	Prec@5 17.969 (14.714)
Epoch: [3][2700/7045]	Time 0.225 (0.248)	Data 0.174 (0.187)	Loss 5.0345 (5.0741)	Prec@1 2.734 (4.153)	Prec@5 13.281 (14.712)
Epoch: [3][2710/7045]	Time 0.236 (0.248)	Data 0.177 (0.187)	Loss 5.0961 (5.0738)	Prec@1 3.516 (4.154)	Prec@5 11.328 (14.716)
Epoch: [3][2720/7045]	Time 0.476 (0.248)	Data 0.425 (0.187)	Loss 5.0417 (5.0738)	Prec@1 3.906 (4.154)	Prec@5 14.062 (14.718)
Epoch: [3][2730/7045]	Time 0.104 (0.248)	Data 0.052 (0.187)	Loss 5.0358 (5.0737)	Prec@1 5.469 (4.156)	Prec@5 16.016 (14.720)
Epoch: [3][2740/7045]	Time 0.111 (0.248)	Data 0.052 (0.187)	Loss 4.8968 (5.0737)	Prec@1 3.516 (4.154)	Prec@5 17.188 (14.719)
Epoch: [3][2750/7045]	Time 0.191 (0.248)	Data 0.140 (0.187)	Loss 4.9036 (5.0735)	Prec@1 5.078 (4.154)	Prec@5 18.750 (14.725)
Epoch: [3][2760/7045]	Time 0.101 (0.248)	Data 0.001 (0.187)	Loss 5.0564 (5.0735)	Prec@1 4.297 (4.154)	Prec@5 14.062 (14.727)
Epoch: [3][2770/7045]	Time 0.519 (0.248)	Data 0.467 (0.187)	Loss 5.0286 (5.0733)	Prec@1 5.078 (4.155)	Prec@5 14.453 (14.732)
Epoch: [3][2780/7045]	Time 0.107 (0.248)	Data 0.001 (0.187)	Loss 5.1139 (5.0731)	Prec@1 5.469 (4.156)	Prec@5 13.281 (14.733)
Epoch: [3][2790/7045]	Time 0.329 (0.248)	Data 0.279 (0.187)	Loss 5.0628 (5.0731)	Prec@1 4.297 (4.157)	Prec@5 14.453 (14.733)
Epoch: [3][2800/7045]	Time 0.520 (0.248)	Data 0.468 (0.187)	Loss 5.0016 (5.0728)	Prec@1 5.859 (4.160)	Prec@5 16.406 (14.742)
Epoch: [3][2810/7045]	Time 0.109 (0.248)	Data 0.001 (0.187)	Loss 4.8822 (5.0725)	Prec@1 7.031 (4.164)	Prec@5 21.484 (14.750)
Epoch: [3][2820/7045]	Time 0.456 (0.248)	Data 0.406 (0.187)	Loss 5.1455 (5.0725)	Prec@1 4.688 (4.165)	Prec@5 12.500 (14.752)
Epoch: [3][2830/7045]	Time 0.188 (0.248)	Data 0.130 (0.187)	Loss 5.2627 (5.0725)	Prec@1 1.562 (4.165)	Prec@5 10.938 (14.749)
Epoch: [3][2840/7045]	Time 0.520 (0.248)	Data 0.458 (0.187)	Loss 5.1189 (5.0726)	Prec@1 3.125 (4.165)	Prec@5 14.453 (14.751)
Epoch: [3][2850/7045]	Time 0.270 (0.248)	Data 0.219 (0.187)	Loss 4.9975 (5.0725)	Prec@1 6.641 (4.165)	Prec@5 16.016 (14.750)
Epoch: [3][2860/7045]	Time 0.283 (0.248)	Data 0.226 (0.187)	Loss 4.7554 (5.0723)	Prec@1 6.250 (4.166)	Prec@5 22.266 (14.751)
Epoch: [3][2870/7045]	Time 0.280 (0.248)	Data 0.228 (0.187)	Loss 5.0070 (5.0722)	Prec@1 4.688 (4.167)	Prec@5 13.281 (14.753)
Epoch: [3][2880/7045]	Time 0.102 (0.248)	Data 0.001 (0.187)	Loss 4.9926 (5.0722)	Prec@1 5.078 (4.167)	Prec@5 16.797 (14.752)
Epoch: [3][2890/7045]	Time 0.174 (0.248)	Data 0.123 (0.187)	Loss 5.0799 (5.0721)	Prec@1 3.125 (4.169)	Prec@5 12.109 (14.755)
Epoch: [3][2900/7045]	Time 0.102 (0.248)	Data 0.001 (0.187)	Loss 5.0212 (5.0719)	Prec@1 3.906 (4.168)	Prec@5 14.453 (14.755)
Epoch: [3][2910/7045]	Time 0.101 (0.248)	Data 0.001 (0.187)	Loss 5.0789 (5.0716)	Prec@1 5.469 (4.172)	Prec@5 15.234 (14.761)
Epoch: [3][2920/7045]	Time 0.102 (0.248)	Data 0.001 (0.187)	Loss 5.2009 (5.0715)	Prec@1 4.297 (4.171)	Prec@5 14.844 (14.762)
Epoch: [3][2930/7045]	Time 0.285 (0.248)	Data 0.234 (0.187)	Loss 5.0943 (5.0717)	Prec@1 2.734 (4.171)	Prec@5 14.062 (14.761)
Epoch: [3][2940/7045]	Time 0.101 (0.248)	Data 0.008 (0.187)	Loss 5.2149 (5.0718)	Prec@1 4.297 (4.173)	Prec@5 13.672 (14.761)
Epoch: [3][2950/7045]	Time 0.332 (0.248)	Data 0.279 (0.187)	Loss 5.2586 (5.0719)	Prec@1 4.688 (4.174)	Prec@5 10.547 (14.760)
Epoch: [3][2960/7045]	Time 0.140 (0.248)	Data 0.088 (0.187)	Loss 5.1107 (5.0721)	Prec@1 2.344 (4.172)	Prec@5 14.062 (14.759)
Epoch: [3][2970/7045]	Time 0.329 (0.248)	Data 0.277 (0.187)	Loss 5.0581 (5.0721)	Prec@1 5.469 (4.173)	Prec@5 15.625 (14.764)
Epoch: [3][2980/7045]	Time 0.351 (0.248)	Data 0.294 (0.187)	Loss 5.0572 (5.0720)	Prec@1 3.516 (4.173)	Prec@5 14.844 (14.766)
Epoch: [3][2990/7045]	Time 0.221 (0.248)	Data 0.170 (0.187)	Loss 5.0436 (5.0720)	Prec@1 2.734 (4.172)	Prec@5 12.500 (14.763)
Epoch: [3][3000/7045]	Time 0.455 (0.248)	Data 0.397 (0.187)	Loss 5.1622 (5.0721)	Prec@1 4.688 (4.170)	Prec@5 13.672 (14.762)
Epoch: [3][3010/7045]	Time 0.214 (0.248)	Data 0.163 (0.187)	Loss 5.0989 (5.0721)	Prec@1 4.297 (4.170)	Prec@5 18.750 (14.762)
Epoch: [3][3020/7045]	Time 0.548 (0.248)	Data 0.494 (0.187)	Loss 4.9434 (5.0721)	Prec@1 5.859 (4.172)	Prec@5 19.922 (14.763)
Epoch: [3][3030/7045]	Time 0.217 (0.248)	Data 0.161 (0.187)	Loss 5.0668 (5.0720)	Prec@1 4.297 (4.175)	Prec@5 11.719 (14.762)
Epoch: [3][3040/7045]	Time 0.471 (0.248)	Data 0.419 (0.187)	Loss 5.1374 (5.0720)	Prec@1 5.078 (4.178)	Prec@5 13.281 (14.762)
Epoch: [3][3050/7045]	Time 0.305 (0.248)	Data 0.254 (0.187)	Loss 5.1131 (5.0721)	Prec@1 3.125 (4.177)	Prec@5 10.938 (14.763)
Epoch: [3][3060/7045]	Time 0.579 (0.248)	Data 0.527 (0.187)	Loss 5.1356 (5.0722)	Prec@1 6.641 (4.178)	Prec@5 19.531 (14.765)
Epoch: [3][3070/7045]	Time 0.199 (0.248)	Data 0.148 (0.187)	Loss 5.0054 (5.0721)	Prec@1 5.859 (4.178)	Prec@5 16.016 (14.765)
Epoch: [3][3080/7045]	Time 0.461 (0.248)	Data 0.410 (0.187)	Loss 5.1349 (5.0722)	Prec@1 3.906 (4.174)	Prec@5 12.109 (14.762)
Epoch: [3][3090/7045]	Time 0.102 (0.248)	Data 0.001 (0.187)	Loss 5.2160 (5.0723)	Prec@1 2.344 (4.175)	Prec@5 11.719 (14.762)
Epoch: [3][3100/7045]	Time 0.252 (0.248)	Data 0.202 (0.187)	Loss 5.0289 (5.0720)	Prec@1 3.125 (4.177)	Prec@5 16.016 (14.769)
Epoch: [3][3110/7045]	Time 0.102 (0.248)	Data 0.047 (0.187)	Loss 5.1558 (5.0720)	Prec@1 5.078 (4.178)	Prec@5 12.891 (14.770)
Epoch: [3][3120/7045]	Time 0.267 (0.248)	Data 0.216 (0.187)	Loss 5.0660 (5.0721)	Prec@1 4.688 (4.178)	Prec@5 13.672 (14.770)
Epoch: [3][3130/7045]	Time 0.427 (0.248)	Data 0.376 (0.187)	Loss 5.1239 (5.0721)	Prec@1 5.859 (4.179)	Prec@5 14.844 (14.772)
Epoch: [3][3140/7045]	Time 0.165 (0.248)	Data 0.108 (0.187)	Loss 5.0719 (5.0722)	Prec@1 5.859 (4.178)	Prec@5 13.672 (14.767)
Epoch: [3][3150/7045]	Time 0.806 (0.248)	Data 0.754 (0.187)	Loss 5.0066 (5.0722)	Prec@1 4.297 (4.179)	Prec@5 14.062 (14.766)
Epoch: [3][3160/7045]	Time 0.101 (0.248)	Data 0.001 (0.187)	Loss 5.0094 (5.0721)	Prec@1 5.469 (4.180)	Prec@5 17.969 (14.767)
Epoch: [3][3170/7045]	Time 0.730 (0.248)	Data 0.671 (0.187)	Loss 5.1371 (5.0719)	Prec@1 3.125 (4.179)	Prec@5 9.766 (14.769)
Epoch: [3][3180/7045]	Time 0.102 (0.248)	Data 0.001 (0.187)	Loss 5.0200 (5.0718)	Prec@1 5.859 (4.183)	Prec@5 19.141 (14.773)
Epoch: [3][3190/7045]	Time 0.564 (0.248)	Data 0.513 (0.187)	Loss 5.0868 (5.0717)	Prec@1 5.469 (4.182)	Prec@5 15.625 (14.773)
Epoch: [3][3200/7045]	Time 0.102 (0.248)	Data 0.002 (0.187)	Loss 5.1982 (5.0717)	Prec@1 3.516 (4.183)	Prec@5 13.281 (14.771)
Epoch: [3][3210/7045]	Time 0.126 (0.248)	Data 0.070 (0.187)	Loss 5.0036 (5.0716)	Prec@1 8.203 (4.185)	Prec@5 18.359 (14.772)
Epoch: [3][3220/7045]	Time 0.256 (0.248)	Data 0.205 (0.187)	Loss 5.1310 (5.0716)	Prec@1 2.344 (4.187)	Prec@5 16.016 (14.772)
Epoch: [3][3230/7045]	Time 0.107 (0.248)	Data 0.004 (0.187)	Loss 5.1117 (5.0717)	Prec@1 2.734 (4.187)	Prec@5 13.281 (14.772)
Epoch: [3][3240/7045]	Time 0.465 (0.248)	Data 0.413 (0.187)	Loss 4.9843 (5.0716)	Prec@1 4.688 (4.188)	Prec@5 17.578 (14.777)
Epoch: [3][3250/7045]	Time 0.107 (0.248)	Data 0.001 (0.187)	Loss 4.8992 (5.0713)	Prec@1 4.297 (4.189)	Prec@5 14.844 (14.779)
Epoch: [3][3260/7045]	Time 0.565 (0.248)	Data 0.513 (0.187)	Loss 4.9676 (5.0712)	Prec@1 1.953 (4.190)	Prec@5 14.844 (14.782)
Epoch: [3][3270/7045]	Time 0.117 (0.248)	Data 0.058 (0.186)	Loss 5.2469 (5.0711)	Prec@1 4.297 (4.189)	Prec@5 9.766 (14.779)
Epoch: [3][3280/7045]	Time 0.550 (0.248)	Data 0.499 (0.187)	Loss 5.0304 (5.0710)	Prec@1 3.516 (4.190)	Prec@5 12.500 (14.783)
Epoch: [3][3290/7045]	Time 0.147 (0.248)	Data 0.095 (0.186)	Loss 5.0731 (5.0710)	Prec@1 3.906 (4.188)	Prec@5 13.672 (14.781)
Epoch: [3][3300/7045]	Time 0.450 (0.248)	Data 0.399 (0.186)	Loss 5.1114 (5.0707)	Prec@1 6.641 (4.191)	Prec@5 13.672 (14.783)
Epoch: [3][3310/7045]	Time 0.293 (0.248)	Data 0.242 (0.186)	Loss 5.0979 (5.0706)	Prec@1 3.906 (4.192)	Prec@5 11.719 (14.782)
Epoch: [3][3320/7045]	Time 0.201 (0.248)	Data 0.150 (0.186)	Loss 4.9501 (5.0704)	Prec@1 5.078 (4.193)	Prec@5 17.188 (14.785)
Epoch: [3][3330/7045]	Time 0.423 (0.248)	Data 0.372 (0.187)	Loss 5.0986 (5.0703)	Prec@1 3.906 (4.194)	Prec@5 9.375 (14.784)
Epoch: [3][3340/7045]	Time 0.135 (0.248)	Data 0.084 (0.186)	Loss 5.0906 (5.0703)	Prec@1 5.469 (4.195)	Prec@5 13.281 (14.782)
Epoch: [3][3350/7045]	Time 0.604 (0.248)	Data 0.551 (0.187)	Loss 5.0369 (5.0701)	Prec@1 5.859 (4.197)	Prec@5 14.844 (14.786)
Epoch: [3][3360/7045]	Time 0.108 (0.248)	Data 0.046 (0.187)	Loss 5.0389 (5.0698)	Prec@1 4.688 (4.200)	Prec@5 17.578 (14.791)
Epoch: [3][3370/7045]	Time 0.528 (0.248)	Data 0.476 (0.187)	Loss 5.0634 (5.0696)	Prec@1 5.469 (4.200)	Prec@5 16.406 (14.793)
Epoch: [3][3380/7045]	Time 0.198 (0.248)	Data 0.147 (0.187)	Loss 5.1756 (5.0696)	Prec@1 1.953 (4.201)	Prec@5 12.891 (14.795)
Epoch: [3][3390/7045]	Time 0.522 (0.248)	Data 0.471 (0.187)	Loss 5.1775 (5.0695)	Prec@1 4.688 (4.203)	Prec@5 12.891 (14.795)
Epoch: [3][3400/7045]	Time 0.228 (0.248)	Data 0.177 (0.186)	Loss 5.0698 (5.0695)	Prec@1 3.125 (4.203)	Prec@5 13.281 (14.798)
Epoch: [3][3410/7045]	Time 0.212 (0.248)	Data 0.155 (0.187)	Loss 5.1941 (5.0697)	Prec@1 3.906 (4.202)	Prec@5 14.453 (14.795)
Epoch: [3][3420/7045]	Time 0.110 (0.248)	Data 0.059 (0.187)	Loss 5.0873 (5.0697)	Prec@1 3.125 (4.203)	Prec@5 12.109 (14.794)
Epoch: [3][3430/7045]	Time 0.102 (0.248)	Data 0.045 (0.187)	Loss 4.9803 (5.0698)	Prec@1 4.297 (4.202)	Prec@5 16.797 (14.793)
Epoch: [3][3440/7045]	Time 0.157 (0.248)	Data 0.105 (0.187)	Loss 5.1719 (5.0699)	Prec@1 3.516 (4.201)	Prec@5 11.328 (14.789)
Epoch: [3][3450/7045]	Time 0.109 (0.248)	Data 0.057 (0.187)	Loss 5.0029 (5.0699)	Prec@1 6.641 (4.202)	Prec@5 16.016 (14.790)
Epoch: [3][3460/7045]	Time 0.322 (0.248)	Data 0.270 (0.187)	Loss 5.1039 (5.0698)	Prec@1 2.734 (4.203)	Prec@5 10.938 (14.794)
Epoch: [3][3470/7045]	Time 0.109 (0.248)	Data 0.058 (0.186)	Loss 5.1028 (5.0697)	Prec@1 3.516 (4.204)	Prec@5 14.062 (14.793)
Epoch: [3][3480/7045]	Time 0.248 (0.248)	Data 0.197 (0.187)	Loss 4.9362 (5.0697)	Prec@1 6.641 (4.203)	Prec@5 17.188 (14.792)
Epoch: [3][3490/7045]	Time 0.144 (0.248)	Data 0.094 (0.186)	Loss 4.7261 (5.0696)	Prec@1 5.078 (4.203)	Prec@5 17.578 (14.791)
Epoch: [3][3500/7045]	Time 0.184 (0.248)	Data 0.131 (0.186)	Loss 5.1642 (5.0696)	Prec@1 4.297 (4.204)	Prec@5 14.453 (14.790)
Epoch: [3][3510/7045]	Time 0.123 (0.248)	Data 0.072 (0.186)	Loss 5.0211 (5.0695)	Prec@1 5.469 (4.206)	Prec@5 16.797 (14.793)
Epoch: [3][3520/7045]	Time 0.161 (0.248)	Data 0.110 (0.187)	Loss 4.9671 (5.0696)	Prec@1 5.469 (4.206)	Prec@5 16.797 (14.793)
Epoch: [3][3530/7045]	Time 0.214 (0.248)	Data 0.162 (0.186)	Loss 5.1720 (5.0695)	Prec@1 3.516 (4.206)	Prec@5 12.891 (14.794)
Epoch: [3][3540/7045]	Time 0.287 (0.248)	Data 0.237 (0.187)	Loss 5.1957 (5.0696)	Prec@1 2.734 (4.207)	Prec@5 13.672 (14.794)
Epoch: [3][3550/7045]	Time 0.102 (0.248)	Data 0.001 (0.187)	Loss 4.8358 (5.0694)	Prec@1 2.734 (4.207)	Prec@5 19.531 (14.794)
Epoch: [3][3560/7045]	Time 0.252 (0.248)	Data 0.200 (0.187)	Loss 4.9213 (5.0693)	Prec@1 5.859 (4.207)	Prec@5 18.750 (14.794)
Epoch: [3][3570/7045]	Time 0.235 (0.248)	Data 0.184 (0.187)	Loss 5.1431 (5.0694)	Prec@1 6.250 (4.206)	Prec@5 18.359 (14.796)
Epoch: [3][3580/7045]	Time 0.101 (0.248)	Data 0.001 (0.187)	Loss 5.1308 (5.0694)	Prec@1 3.125 (4.204)	Prec@5 13.672 (14.794)
Epoch: [3][3590/7045]	Time 0.379 (0.248)	Data 0.321 (0.187)	Loss 5.0175 (5.0695)	Prec@1 5.078 (4.204)	Prec@5 16.016 (14.793)
Epoch: [3][3600/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 5.1890 (5.0694)	Prec@1 2.344 (4.203)	Prec@5 13.672 (14.791)
Epoch: [3][3610/7045]	Time 0.419 (0.248)	Data 0.368 (0.187)	Loss 5.0718 (5.0693)	Prec@1 5.078 (4.207)	Prec@5 16.797 (14.797)
Epoch: [3][3620/7045]	Time 0.114 (0.248)	Data 0.062 (0.186)	Loss 5.1698 (5.0692)	Prec@1 3.125 (4.207)	Prec@5 11.719 (14.798)
Epoch: [3][3630/7045]	Time 0.120 (0.248)	Data 0.063 (0.186)	Loss 5.1110 (5.0694)	Prec@1 4.297 (4.207)	Prec@5 15.625 (14.796)
Epoch: [3][3640/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 4.9372 (5.0694)	Prec@1 5.078 (4.205)	Prec@5 16.797 (14.798)
Epoch: [3][3650/7045]	Time 0.102 (0.248)	Data 0.002 (0.186)	Loss 5.1670 (5.0696)	Prec@1 3.516 (4.203)	Prec@5 12.109 (14.793)
Epoch: [3][3660/7045]	Time 0.587 (0.248)	Data 0.536 (0.186)	Loss 5.1447 (5.0696)	Prec@1 4.297 (4.203)	Prec@5 12.891 (14.796)
Epoch: [3][3670/7045]	Time 0.103 (0.248)	Data 0.001 (0.186)	Loss 5.0272 (5.0697)	Prec@1 3.516 (4.201)	Prec@5 15.625 (14.793)
Epoch: [3][3680/7045]	Time 0.484 (0.248)	Data 0.432 (0.186)	Loss 5.0607 (5.0698)	Prec@1 3.906 (4.199)	Prec@5 16.016 (14.791)
Epoch: [3][3690/7045]	Time 0.294 (0.248)	Data 0.243 (0.186)	Loss 5.0172 (5.0698)	Prec@1 3.516 (4.199)	Prec@5 15.234 (14.790)
Epoch: [3][3700/7045]	Time 0.101 (0.248)	Data 0.001 (0.186)	Loss 5.1385 (5.0698)	Prec@1 3.516 (4.200)	Prec@5 13.672 (14.791)
Epoch: [3][3710/7045]	Time 0.175 (0.248)	Data 0.123 (0.186)	Loss 5.0420 (5.0698)	Prec@1 3.516 (4.199)	Prec@5 15.234 (14.791)
Epoch: [3][3720/7045]	Time 0.160 (0.248)	Data 0.109 (0.186)	Loss 5.1370 (5.0699)	Prec@1 1.172 (4.198)	Prec@5 14.453 (14.791)
Epoch: [3][3730/7045]	Time 0.211 (0.248)	Data 0.154 (0.186)	Loss 5.0230 (5.0699)	Prec@1 4.297 (4.197)	Prec@5 13.672 (14.791)
Epoch: [3][3740/7045]	Time 0.135 (0.248)	Data 0.085 (0.186)	Loss 5.0046 (5.0700)	Prec@1 4.297 (4.196)	Prec@5 15.234 (14.789)
Epoch: [3][3750/7045]	Time 0.228 (0.248)	Data 0.176 (0.186)	Loss 4.9936 (5.0700)	Prec@1 3.516 (4.196)	Prec@5 16.016 (14.790)
Epoch: [3][3760/7045]	Time 0.216 (0.248)	Data 0.165 (0.186)	Loss 5.1119 (5.0699)	Prec@1 3.906 (4.196)	Prec@5 13.281 (14.791)
Epoch: [3][3770/7045]	Time 0.204 (0.248)	Data 0.147 (0.186)	Loss 5.0847 (5.0699)	Prec@1 2.344 (4.195)	Prec@5 13.281 (14.789)
Epoch: [3][3780/7045]	Time 0.111 (0.248)	Data 0.058 (0.186)	Loss 5.1087 (5.0698)	Prec@1 4.688 (4.196)	Prec@5 16.016 (14.791)
Epoch: [3][3790/7045]	Time 0.222 (0.248)	Data 0.170 (0.186)	Loss 4.9293 (5.0696)	Prec@1 5.078 (4.197)	Prec@5 16.016 (14.792)
Epoch: [3][3800/7045]	Time 0.281 (0.248)	Data 0.229 (0.186)	Loss 5.0479 (5.0696)	Prec@1 2.344 (4.196)	Prec@5 17.969 (14.794)
Epoch: [3][3810/7045]	Time 0.187 (0.248)	Data 0.135 (0.186)	Loss 5.0799 (5.0695)	Prec@1 3.906 (4.197)	Prec@5 14.844 (14.797)
Epoch: [3][3820/7045]	Time 0.296 (0.248)	Data 0.237 (0.186)	Loss 5.0011 (5.0696)	Prec@1 4.688 (4.197)	Prec@5 14.844 (14.794)
Epoch: [3][3830/7045]	Time 0.113 (0.248)	Data 0.061 (0.186)	Loss 5.0961 (5.0696)	Prec@1 3.125 (4.197)	Prec@5 15.234 (14.795)
Epoch: [3][3840/7045]	Time 0.443 (0.248)	Data 0.385 (0.186)	Loss 5.0409 (5.0696)	Prec@1 3.906 (4.197)	Prec@5 14.453 (14.793)
Epoch: [3][3850/7045]	Time 0.108 (0.248)	Data 0.056 (0.186)	Loss 5.1559 (5.0697)	Prec@1 5.859 (4.199)	Prec@5 15.625 (14.794)
Epoch: [3][3860/7045]	Time 0.306 (0.248)	Data 0.251 (0.186)	Loss 5.1320 (5.0697)	Prec@1 2.734 (4.200)	Prec@5 12.500 (14.794)
Epoch: [3][3870/7045]	Time 0.473 (0.248)	Data 0.422 (0.186)	Loss 5.0711 (5.0695)	Prec@1 5.078 (4.199)	Prec@5 15.234 (14.796)
Epoch: [3][3880/7045]	Time 0.176 (0.248)	Data 0.124 (0.186)	Loss 5.0734 (5.0695)	Prec@1 3.516 (4.198)	Prec@5 12.500 (14.797)
Epoch: [3][3890/7045]	Time 0.663 (0.248)	Data 0.612 (0.186)	Loss 5.1708 (5.0695)	Prec@1 2.734 (4.197)	Prec@5 13.672 (14.797)
Epoch: [3][3900/7045]	Time 0.107 (0.248)	Data 0.001 (0.186)	Loss 5.0713 (5.0693)	Prec@1 5.859 (4.199)	Prec@5 17.578 (14.799)
Epoch: [3][3910/7045]	Time 0.594 (0.248)	Data 0.543 (0.186)	Loss 5.0322 (5.0693)	Prec@1 5.469 (4.201)	Prec@5 14.453 (14.800)
Epoch: [3][3920/7045]	Time 0.160 (0.248)	Data 0.108 (0.186)	Loss 5.0413 (5.0692)	Prec@1 4.297 (4.201)	Prec@5 14.062 (14.799)
Epoch: [3][3930/7045]	Time 0.243 (0.248)	Data 0.192 (0.186)	Loss 4.9375 (5.0692)	Prec@1 7.031 (4.201)	Prec@5 15.625 (14.798)
Epoch: [3][3940/7045]	Time 0.102 (0.248)	Data 0.048 (0.186)	Loss 4.9685 (5.0691)	Prec@1 3.906 (4.200)	Prec@5 14.844 (14.798)
Epoch: [3][3950/7045]	Time 0.229 (0.248)	Data 0.178 (0.186)	Loss 4.9598 (5.0688)	Prec@1 5.469 (4.201)	Prec@5 16.016 (14.802)
Epoch: [3][3960/7045]	Time 0.110 (0.248)	Data 0.059 (0.186)	Loss 4.9929 (5.0686)	Prec@1 3.516 (4.201)	Prec@5 15.625 (14.806)
Epoch: [3][3970/7045]	Time 0.102 (0.248)	Data 0.004 (0.186)	Loss 5.1008 (5.0687)	Prec@1 3.906 (4.201)	Prec@5 12.891 (14.806)
Epoch: [3][3980/7045]	Time 0.620 (0.248)	Data 0.569 (0.186)	Loss 5.0264 (5.0687)	Prec@1 3.125 (4.200)	Prec@5 10.938 (14.804)
Epoch: [3][3990/7045]	Time 0.101 (0.248)	Data 0.004 (0.186)	Loss 5.1355 (5.0686)	Prec@1 4.297 (4.201)	Prec@5 14.453 (14.807)
Epoch: [3][4000/7045]	Time 0.410 (0.248)	Data 0.359 (0.186)	Loss 5.0541 (5.0685)	Prec@1 3.516 (4.201)	Prec@5 15.234 (14.807)
Epoch: [3][4010/7045]	Time 0.335 (0.248)	Data 0.282 (0.186)	Loss 5.0345 (5.0685)	Prec@1 4.688 (4.202)	Prec@5 17.578 (14.809)
Epoch: [3][4020/7045]	Time 0.116 (0.248)	Data 0.053 (0.186)	Loss 5.0828 (5.0685)	Prec@1 4.688 (4.201)	Prec@5 15.625 (14.810)
Epoch: [3][4030/7045]	Time 0.116 (0.248)	Data 0.064 (0.186)	Loss 4.9612 (5.0685)	Prec@1 4.297 (4.201)	Prec@5 18.750 (14.810)
Epoch: [3][4040/7045]	Time 0.158 (0.248)	Data 0.104 (0.186)	Loss 5.0221 (5.0685)	Prec@1 3.906 (4.200)	Prec@5 15.234 (14.810)
Epoch: [3][4050/7045]	Time 0.104 (0.248)	Data 0.052 (0.186)	Loss 5.0391 (5.0686)	Prec@1 0.781 (4.198)	Prec@5 16.406 (14.808)
Epoch: [3][4060/7045]	Time 0.139 (0.248)	Data 0.087 (0.186)	Loss 5.1585 (5.0687)	Prec@1 3.906 (4.196)	Prec@5 11.328 (14.803)
Epoch: [3][4070/7045]	Time 0.102 (0.248)	Data 0.002 (0.186)	Loss 5.0809 (5.0687)	Prec@1 3.516 (4.197)	Prec@5 17.188 (14.805)
Epoch: [3][4080/7045]	Time 0.404 (0.248)	Data 0.354 (0.186)	Loss 5.0973 (5.0688)	Prec@1 2.344 (4.194)	Prec@5 12.109 (14.801)
Epoch: [3][4090/7045]	Time 0.100 (0.248)	Data 0.045 (0.186)	Loss 5.1223 (5.0688)	Prec@1 5.859 (4.195)	Prec@5 14.844 (14.800)
Epoch: [3][4100/7045]	Time 0.611 (0.248)	Data 0.553 (0.186)	Loss 4.8702 (5.0687)	Prec@1 6.250 (4.195)	Prec@5 19.922 (14.803)
Epoch: [3][4110/7045]	Time 0.123 (0.248)	Data 0.070 (0.186)	Loss 4.9711 (5.0687)	Prec@1 2.344 (4.193)	Prec@5 15.234 (14.801)
Epoch: [3][4120/7045]	Time 0.252 (0.248)	Data 0.201 (0.186)	Loss 5.0248 (5.0687)	Prec@1 4.297 (4.192)	Prec@5 17.188 (14.801)
Epoch: [3][4130/7045]	Time 0.341 (0.248)	Data 0.291 (0.186)	Loss 5.0733 (5.0687)	Prec@1 6.250 (4.193)	Prec@5 17.969 (14.804)
Epoch: [3][4140/7045]	Time 0.101 (0.248)	Data 0.047 (0.186)	Loss 5.0960 (5.0687)	Prec@1 3.125 (4.193)	Prec@5 13.672 (14.805)
Epoch: [3][4150/7045]	Time 0.362 (0.248)	Data 0.310 (0.186)	Loss 5.1556 (5.0688)	Prec@1 2.734 (4.192)	Prec@5 14.453 (14.802)
Epoch: [3][4160/7045]	Time 0.101 (0.248)	Data 0.043 (0.186)	Loss 5.1474 (5.0689)	Prec@1 4.688 (4.193)	Prec@5 16.406 (14.803)
Epoch: [3][4170/7045]	Time 0.322 (0.248)	Data 0.270 (0.186)	Loss 4.9881 (5.0688)	Prec@1 3.125 (4.193)	Prec@5 16.016 (14.808)
Epoch: [3][4180/7045]	Time 0.451 (0.248)	Data 0.397 (0.186)	Loss 5.0483 (5.0687)	Prec@1 3.906 (4.192)	Prec@5 12.891 (14.807)
Epoch: [3][4190/7045]	Time 0.111 (0.248)	Data 0.052 (0.186)	Loss 5.1544 (5.0690)	Prec@1 2.344 (4.191)	Prec@5 13.281 (14.803)
Epoch: [3][4200/7045]	Time 0.468 (0.248)	Data 0.417 (0.186)	Loss 5.0273 (5.0691)	Prec@1 3.516 (4.189)	Prec@5 14.844 (14.801)
Epoch: [3][4210/7045]	Time 0.108 (0.248)	Data 0.005 (0.186)	Loss 5.1470 (5.0690)	Prec@1 5.469 (4.189)	Prec@5 16.016 (14.802)
Epoch: [3][4220/7045]	Time 0.435 (0.248)	Data 0.384 (0.186)	Loss 5.0644 (5.0689)	Prec@1 3.906 (4.189)	Prec@5 16.406 (14.803)
Epoch: [3][4230/7045]	Time 0.361 (0.248)	Data 0.301 (0.186)	Loss 5.0384 (5.0689)	Prec@1 4.297 (4.190)	Prec@5 16.406 (14.803)
Epoch: [3][4240/7045]	Time 0.179 (0.248)	Data 0.128 (0.186)	Loss 5.1622 (5.0689)	Prec@1 3.516 (4.192)	Prec@5 15.234 (14.808)
Epoch: [3][4250/7045]	Time 0.475 (0.248)	Data 0.425 (0.186)	Loss 5.0492 (5.0690)	Prec@1 6.250 (4.193)	Prec@5 16.797 (14.806)
Epoch: [3][4260/7045]	Time 0.110 (0.248)	Data 0.001 (0.186)	Loss 4.9644 (5.0688)	Prec@1 3.516 (4.195)	Prec@5 17.969 (14.811)
Epoch: [3][4270/7045]	Time 0.600 (0.248)	Data 0.549 (0.186)	Loss 5.1442 (5.0687)	Prec@1 3.906 (4.195)	Prec@5 10.547 (14.811)
Epoch: [3][4280/7045]	Time 0.109 (0.248)	Data 0.001 (0.186)	Loss 4.8542 (5.0685)	Prec@1 5.859 (4.195)	Prec@5 20.312 (14.812)
Epoch: [3][4290/7045]	Time 0.547 (0.248)	Data 0.496 (0.186)	Loss 4.8702 (5.0685)	Prec@1 6.641 (4.196)	Prec@5 18.359 (14.813)
Epoch: [3][4300/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 5.0989 (5.0686)	Prec@1 3.125 (4.194)	Prec@5 13.281 (14.808)
Epoch: [3][4310/7045]	Time 0.637 (0.248)	Data 0.585 (0.186)	Loss 5.0217 (5.0687)	Prec@1 3.516 (4.195)	Prec@5 14.844 (14.808)
Epoch: [3][4320/7045]	Time 0.107 (0.248)	Data 0.001 (0.186)	Loss 5.0571 (5.0687)	Prec@1 3.125 (4.193)	Prec@5 16.016 (14.809)
Epoch: [3][4330/7045]	Time 0.642 (0.248)	Data 0.590 (0.186)	Loss 5.0629 (5.0687)	Prec@1 4.688 (4.193)	Prec@5 14.844 (14.807)
Epoch: [3][4340/7045]	Time 0.235 (0.248)	Data 0.183 (0.186)	Loss 5.0874 (5.0688)	Prec@1 5.859 (4.193)	Prec@5 16.016 (14.807)
Epoch: [3][4350/7045]	Time 0.452 (0.248)	Data 0.400 (0.186)	Loss 4.9724 (5.0688)	Prec@1 6.641 (4.191)	Prec@5 20.703 (14.806)
Epoch: [3][4360/7045]	Time 0.117 (0.248)	Data 0.059 (0.186)	Loss 5.0208 (5.0688)	Prec@1 3.516 (4.191)	Prec@5 12.109 (14.803)
Epoch: [3][4370/7045]	Time 0.309 (0.248)	Data 0.258 (0.186)	Loss 5.1696 (5.0688)	Prec@1 5.078 (4.192)	Prec@5 12.500 (14.804)
Epoch: [3][4380/7045]	Time 0.101 (0.248)	Data 0.049 (0.186)	Loss 4.9415 (5.0688)	Prec@1 5.469 (4.192)	Prec@5 18.359 (14.806)
Epoch: [3][4390/7045]	Time 0.101 (0.248)	Data 0.049 (0.186)	Loss 5.0971 (5.0688)	Prec@1 1.953 (4.191)	Prec@5 14.062 (14.805)
Epoch: [3][4400/7045]	Time 0.245 (0.248)	Data 0.188 (0.186)	Loss 5.0074 (5.0688)	Prec@1 4.297 (4.191)	Prec@5 12.109 (14.805)
Epoch: [3][4410/7045]	Time 0.102 (0.248)	Data 0.046 (0.186)	Loss 4.9356 (5.0688)	Prec@1 3.906 (4.191)	Prec@5 17.969 (14.805)
Epoch: [3][4420/7045]	Time 0.385 (0.248)	Data 0.334 (0.186)	Loss 5.0550 (5.0689)	Prec@1 3.516 (4.190)	Prec@5 14.844 (14.805)
Epoch: [3][4430/7045]	Time 0.153 (0.248)	Data 0.102 (0.186)	Loss 5.0873 (5.0689)	Prec@1 4.297 (4.190)	Prec@5 14.453 (14.805)
Epoch: [3][4440/7045]	Time 0.467 (0.248)	Data 0.416 (0.186)	Loss 4.8706 (5.0688)	Prec@1 5.078 (4.192)	Prec@5 16.016 (14.807)
Epoch: [3][4450/7045]	Time 0.154 (0.248)	Data 0.095 (0.186)	Loss 5.1227 (5.0688)	Prec@1 4.297 (4.193)	Prec@5 15.234 (14.806)
Epoch: [3][4460/7045]	Time 0.500 (0.248)	Data 0.450 (0.186)	Loss 4.9988 (5.0686)	Prec@1 3.516 (4.194)	Prec@5 14.844 (14.807)
Epoch: [3][4470/7045]	Time 0.117 (0.248)	Data 0.065 (0.186)	Loss 4.9319 (5.0685)	Prec@1 3.516 (4.194)	Prec@5 15.625 (14.808)
Epoch: [3][4480/7045]	Time 0.429 (0.248)	Data 0.378 (0.186)	Loss 5.1593 (5.0686)	Prec@1 2.734 (4.195)	Prec@5 9.766 (14.807)
Epoch: [3][4490/7045]	Time 0.119 (0.248)	Data 0.068 (0.186)	Loss 5.1176 (5.0685)	Prec@1 3.516 (4.193)	Prec@5 12.500 (14.807)
Epoch: [3][4500/7045]	Time 0.441 (0.248)	Data 0.389 (0.186)	Loss 5.1324 (5.0686)	Prec@1 3.125 (4.194)	Prec@5 12.891 (14.806)
Epoch: [3][4510/7045]	Time 0.108 (0.248)	Data 0.056 (0.186)	Loss 5.0340 (5.0686)	Prec@1 3.125 (4.193)	Prec@5 14.062 (14.806)
Epoch: [3][4520/7045]	Time 0.413 (0.248)	Data 0.361 (0.186)	Loss 5.0486 (5.0687)	Prec@1 2.344 (4.191)	Prec@5 13.672 (14.803)
Epoch: [3][4530/7045]	Time 0.117 (0.248)	Data 0.065 (0.186)	Loss 5.0888 (5.0688)	Prec@1 5.469 (4.190)	Prec@5 17.188 (14.803)
Epoch: [3][4540/7045]	Time 0.309 (0.248)	Data 0.251 (0.186)	Loss 5.0246 (5.0687)	Prec@1 5.078 (4.191)	Prec@5 14.844 (14.805)
Epoch: [3][4550/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 4.9862 (5.0686)	Prec@1 3.125 (4.190)	Prec@5 13.672 (14.803)
Epoch: [3][4560/7045]	Time 0.292 (0.248)	Data 0.237 (0.186)	Loss 5.0741 (5.0684)	Prec@1 1.953 (4.190)	Prec@5 14.453 (14.806)
Epoch: [3][4570/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 5.1841 (5.0684)	Prec@1 3.516 (4.190)	Prec@5 9.375 (14.805)
Epoch: [3][4580/7045]	Time 0.115 (0.248)	Data 0.064 (0.186)	Loss 5.0077 (5.0685)	Prec@1 3.516 (4.190)	Prec@5 10.547 (14.803)
Epoch: [3][4590/7045]	Time 0.176 (0.248)	Data 0.123 (0.186)	Loss 5.1990 (5.0685)	Prec@1 4.688 (4.190)	Prec@5 13.672 (14.802)
Epoch: [3][4600/7045]	Time 0.198 (0.248)	Data 0.147 (0.186)	Loss 5.0136 (5.0686)	Prec@1 1.953 (4.188)	Prec@5 15.234 (14.800)
Epoch: [3][4610/7045]	Time 0.182 (0.248)	Data 0.131 (0.186)	Loss 5.1495 (5.0687)	Prec@1 5.078 (4.187)	Prec@5 13.672 (14.798)
Epoch: [3][4620/7045]	Time 0.368 (0.248)	Data 0.317 (0.186)	Loss 5.1551 (5.0688)	Prec@1 3.516 (4.186)	Prec@5 12.891 (14.797)
Epoch: [3][4630/7045]	Time 0.103 (0.248)	Data 0.001 (0.186)	Loss 5.0425 (5.0688)	Prec@1 6.250 (4.187)	Prec@5 14.453 (14.798)
Epoch: [3][4640/7045]	Time 0.509 (0.248)	Data 0.457 (0.186)	Loss 5.0907 (5.0687)	Prec@1 5.469 (4.188)	Prec@5 17.188 (14.800)
Epoch: [3][4650/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 5.0125 (5.0688)	Prec@1 5.859 (4.189)	Prec@5 17.969 (14.799)
Epoch: [3][4660/7045]	Time 0.481 (0.248)	Data 0.430 (0.186)	Loss 4.8910 (5.0686)	Prec@1 5.469 (4.189)	Prec@5 18.750 (14.801)
Epoch: [3][4670/7045]	Time 0.103 (0.248)	Data 0.001 (0.186)	Loss 4.9312 (5.0684)	Prec@1 3.906 (4.190)	Prec@5 16.016 (14.804)
Epoch: [3][4680/7045]	Time 0.422 (0.248)	Data 0.365 (0.186)	Loss 5.0342 (5.0683)	Prec@1 5.859 (4.191)	Prec@5 13.672 (14.806)
Epoch: [3][4690/7045]	Time 0.103 (0.248)	Data 0.050 (0.186)	Loss 5.1949 (5.0682)	Prec@1 1.953 (4.192)	Prec@5 10.938 (14.808)
Epoch: [3][4700/7045]	Time 0.146 (0.248)	Data 0.089 (0.186)	Loss 5.0787 (5.0681)	Prec@1 2.344 (4.193)	Prec@5 16.406 (14.810)
Epoch: [3][4710/7045]	Time 0.103 (0.248)	Data 0.001 (0.186)	Loss 5.0979 (5.0681)	Prec@1 4.688 (4.193)	Prec@5 16.406 (14.810)
Epoch: [3][4720/7045]	Time 0.143 (0.248)	Data 0.091 (0.186)	Loss 5.1212 (5.0681)	Prec@1 5.078 (4.194)	Prec@5 16.016 (14.813)
Epoch: [3][4730/7045]	Time 0.475 (0.248)	Data 0.423 (0.186)	Loss 5.1243 (5.0680)	Prec@1 3.516 (4.194)	Prec@5 14.844 (14.814)
Epoch: [3][4740/7045]	Time 0.109 (0.248)	Data 0.052 (0.186)	Loss 5.0667 (5.0680)	Prec@1 3.906 (4.192)	Prec@5 13.281 (14.813)
Epoch: [3][4750/7045]	Time 0.638 (0.248)	Data 0.586 (0.186)	Loss 5.0610 (5.0679)	Prec@1 1.953 (4.192)	Prec@5 15.234 (14.817)
Epoch: [3][4760/7045]	Time 0.101 (0.248)	Data 0.001 (0.186)	Loss 4.9964 (5.0678)	Prec@1 6.250 (4.191)	Prec@5 16.016 (14.818)
Epoch: [3][4770/7045]	Time 0.316 (0.248)	Data 0.266 (0.186)	Loss 5.1137 (5.0678)	Prec@1 3.906 (4.190)	Prec@5 15.625 (14.820)
Epoch: [3][4780/7045]	Time 0.103 (0.248)	Data 0.001 (0.186)	Loss 5.0536 (5.0678)	Prec@1 8.594 (4.191)	Prec@5 16.016 (14.822)
Epoch: [3][4790/7045]	Time 0.101 (0.248)	Data 0.048 (0.186)	Loss 5.0493 (5.0677)	Prec@1 4.297 (4.191)	Prec@5 15.625 (14.822)
Epoch: [3][4800/7045]	Time 0.328 (0.248)	Data 0.278 (0.186)	Loss 5.0484 (5.0677)	Prec@1 3.516 (4.191)	Prec@5 15.234 (14.823)
Epoch: [3][4810/7045]	Time 0.264 (0.248)	Data 0.211 (0.186)	Loss 5.2590 (5.0678)	Prec@1 4.297 (4.190)	Prec@5 12.500 (14.819)
Epoch: [3][4820/7045]	Time 0.243 (0.248)	Data 0.193 (0.186)	Loss 4.9354 (5.0677)	Prec@1 5.469 (4.190)	Prec@5 15.625 (14.820)
Epoch: [3][4830/7045]	Time 0.358 (0.248)	Data 0.301 (0.186)	Loss 5.0831 (5.0678)	Prec@1 5.469 (4.190)	Prec@5 14.062 (14.820)
Epoch: [3][4840/7045]	Time 0.102 (0.248)	Data 0.047 (0.186)	Loss 5.0417 (5.0677)	Prec@1 5.859 (4.190)	Prec@5 16.797 (14.821)
Epoch: [3][4850/7045]	Time 0.665 (0.248)	Data 0.611 (0.186)	Loss 4.9598 (5.0677)	Prec@1 7.422 (4.189)	Prec@5 17.188 (14.820)
Epoch: [3][4860/7045]	Time 0.107 (0.248)	Data 0.001 (0.186)	Loss 5.1019 (5.0677)	Prec@1 2.734 (4.189)	Prec@5 14.844 (14.820)
Epoch: [3][4870/7045]	Time 0.513 (0.248)	Data 0.461 (0.186)	Loss 4.9540 (5.0676)	Prec@1 6.250 (4.189)	Prec@5 16.016 (14.821)
Epoch: [3][4880/7045]	Time 0.193 (0.248)	Data 0.142 (0.186)	Loss 4.9562 (5.0676)	Prec@1 5.469 (4.189)	Prec@5 19.922 (14.822)
Epoch: [3][4890/7045]	Time 0.424 (0.248)	Data 0.373 (0.186)	Loss 5.0289 (5.0674)	Prec@1 5.078 (4.191)	Prec@5 14.844 (14.824)
Epoch: [3][4900/7045]	Time 0.102 (0.248)	Data 0.043 (0.186)	Loss 5.0190 (5.0674)	Prec@1 4.297 (4.192)	Prec@5 16.016 (14.827)
Epoch: [3][4910/7045]	Time 0.201 (0.248)	Data 0.150 (0.186)	Loss 4.9577 (5.0672)	Prec@1 5.859 (4.194)	Prec@5 16.406 (14.826)
Epoch: [3][4920/7045]	Time 0.618 (0.248)	Data 0.559 (0.186)	Loss 5.1166 (5.0671)	Prec@1 2.344 (4.195)	Prec@5 15.234 (14.828)
Epoch: [3][4930/7045]	Time 0.198 (0.248)	Data 0.146 (0.186)	Loss 5.0570 (5.0671)	Prec@1 3.125 (4.194)	Prec@5 12.891 (14.828)
Epoch: [3][4940/7045]	Time 0.140 (0.248)	Data 0.089 (0.186)	Loss 5.1187 (5.0670)	Prec@1 5.859 (4.193)	Prec@5 13.672 (14.826)
Epoch: [3][4950/7045]	Time 0.210 (0.248)	Data 0.159 (0.186)	Loss 5.0688 (5.0671)	Prec@1 3.906 (4.193)	Prec@5 14.062 (14.825)
Epoch: [3][4960/7045]	Time 0.107 (0.248)	Data 0.055 (0.186)	Loss 5.1283 (5.0670)	Prec@1 3.516 (4.193)	Prec@5 11.719 (14.825)
Epoch: [3][4970/7045]	Time 0.298 (0.248)	Data 0.247 (0.186)	Loss 5.0810 (5.0670)	Prec@1 1.953 (4.193)	Prec@5 14.453 (14.824)
Epoch: [3][4980/7045]	Time 0.102 (0.248)	Data 0.006 (0.186)	Loss 5.1135 (5.0668)	Prec@1 3.516 (4.193)	Prec@5 14.844 (14.826)
Epoch: [3][4990/7045]	Time 0.302 (0.248)	Data 0.251 (0.186)	Loss 4.9836 (5.0668)	Prec@1 4.297 (4.194)	Prec@5 17.578 (14.825)
Epoch: [3][5000/7045]	Time 0.101 (0.248)	Data 0.001 (0.186)	Loss 5.1903 (5.0669)	Prec@1 3.125 (4.193)	Prec@5 12.500 (14.823)
Epoch: [3][5010/7045]	Time 0.434 (0.248)	Data 0.382 (0.186)	Loss 5.0695 (5.0670)	Prec@1 3.125 (4.193)	Prec@5 16.797 (14.823)
Epoch: [3][5020/7045]	Time 0.102 (0.248)	Data 0.005 (0.186)	Loss 5.0573 (5.0668)	Prec@1 4.688 (4.193)	Prec@5 16.406 (14.824)
Epoch: [3][5030/7045]	Time 0.112 (0.248)	Data 0.059 (0.186)	Loss 5.0535 (5.0667)	Prec@1 6.250 (4.194)	Prec@5 17.578 (14.826)
Epoch: [3][5040/7045]	Time 0.100 (0.248)	Data 0.001 (0.186)	Loss 4.9393 (5.0666)	Prec@1 3.125 (4.194)	Prec@5 14.062 (14.828)
Epoch: [3][5050/7045]	Time 0.143 (0.248)	Data 0.091 (0.186)	Loss 5.0765 (5.0664)	Prec@1 5.469 (4.195)	Prec@5 15.625 (14.830)
Epoch: [3][5060/7045]	Time 0.434 (0.248)	Data 0.384 (0.186)	Loss 4.9777 (5.0665)	Prec@1 4.297 (4.194)	Prec@5 13.281 (14.826)
Epoch: [3][5070/7045]	Time 0.160 (0.248)	Data 0.107 (0.186)	Loss 5.0823 (5.0665)	Prec@1 3.125 (4.195)	Prec@5 14.062 (14.828)
Epoch: [3][5080/7045]	Time 0.570 (0.248)	Data 0.518 (0.186)	Loss 5.0442 (5.0664)	Prec@1 5.469 (4.196)	Prec@5 16.406 (14.830)
Epoch: [3][5090/7045]	Time 0.100 (0.248)	Data 0.002 (0.186)	Loss 5.0212 (5.0664)	Prec@1 3.125 (4.196)	Prec@5 13.281 (14.830)
Epoch: [3][5100/7045]	Time 0.597 (0.248)	Data 0.540 (0.186)	Loss 4.9677 (5.0663)	Prec@1 5.078 (4.198)	Prec@5 19.531 (14.833)
Epoch: [3][5110/7045]	Time 0.103 (0.248)	Data 0.001 (0.186)	Loss 5.1916 (5.0663)	Prec@1 5.078 (4.200)	Prec@5 12.891 (14.832)
Epoch: [3][5120/7045]	Time 0.649 (0.248)	Data 0.589 (0.186)	Loss 5.0143 (5.0662)	Prec@1 3.906 (4.199)	Prec@5 15.234 (14.833)
Epoch: [3][5130/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 5.2476 (5.0663)	Prec@1 3.125 (4.198)	Prec@5 11.719 (14.831)
Epoch: [3][5140/7045]	Time 0.328 (0.248)	Data 0.276 (0.186)	Loss 5.0630 (5.0663)	Prec@1 4.297 (4.200)	Prec@5 15.625 (14.832)
Epoch: [3][5150/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 4.9583 (5.0662)	Prec@1 5.469 (4.201)	Prec@5 17.969 (14.834)
Epoch: [3][5160/7045]	Time 0.108 (0.248)	Data 0.008 (0.186)	Loss 5.1443 (5.0663)	Prec@1 3.125 (4.201)	Prec@5 13.672 (14.833)
Epoch: [3][5170/7045]	Time 0.104 (0.248)	Data 0.052 (0.185)	Loss 4.8934 (5.0663)	Prec@1 7.031 (4.203)	Prec@5 18.750 (14.834)
Epoch: [3][5180/7045]	Time 0.302 (0.248)	Data 0.251 (0.185)	Loss 4.8358 (5.0661)	Prec@1 5.859 (4.204)	Prec@5 19.141 (14.838)
Epoch: [3][5190/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 5.0620 (5.0660)	Prec@1 5.859 (4.204)	Prec@5 15.234 (14.839)
Epoch: [3][5200/7045]	Time 0.414 (0.248)	Data 0.352 (0.185)	Loss 4.9601 (5.0660)	Prec@1 5.078 (4.205)	Prec@5 14.844 (14.840)
Epoch: [3][5210/7045]	Time 0.103 (0.248)	Data 0.001 (0.185)	Loss 5.1296 (5.0659)	Prec@1 3.125 (4.206)	Prec@5 14.453 (14.843)
Epoch: [3][5220/7045]	Time 0.482 (0.248)	Data 0.431 (0.185)	Loss 5.0578 (5.0659)	Prec@1 2.734 (4.206)	Prec@5 15.625 (14.843)
Epoch: [3][5230/7045]	Time 0.102 (0.248)	Data 0.049 (0.185)	Loss 5.0330 (5.0659)	Prec@1 3.906 (4.207)	Prec@5 16.016 (14.844)
Epoch: [3][5240/7045]	Time 0.422 (0.248)	Data 0.371 (0.185)	Loss 5.0933 (5.0660)	Prec@1 5.859 (4.207)	Prec@5 13.672 (14.844)
Epoch: [3][5250/7045]	Time 0.460 (0.248)	Data 0.408 (0.185)	Loss 5.1034 (5.0660)	Prec@1 4.297 (4.206)	Prec@5 14.062 (14.842)
Epoch: [3][5260/7045]	Time 0.273 (0.248)	Data 0.222 (0.185)	Loss 5.0366 (5.0661)	Prec@1 3.906 (4.206)	Prec@5 16.797 (14.841)
Epoch: [3][5270/7045]	Time 0.218 (0.248)	Data 0.166 (0.185)	Loss 5.0706 (5.0662)	Prec@1 5.469 (4.206)	Prec@5 14.844 (14.840)
Epoch: [3][5280/7045]	Time 0.316 (0.248)	Data 0.266 (0.185)	Loss 5.1342 (5.0662)	Prec@1 3.906 (4.207)	Prec@5 12.891 (14.840)
Epoch: [3][5290/7045]	Time 0.243 (0.248)	Data 0.191 (0.185)	Loss 5.0291 (5.0662)	Prec@1 3.516 (4.207)	Prec@5 15.234 (14.840)
Epoch: [3][5300/7045]	Time 0.101 (0.248)	Data 0.004 (0.185)	Loss 5.0148 (5.0661)	Prec@1 4.297 (4.208)	Prec@5 12.500 (14.841)
Epoch: [3][5310/7045]	Time 0.102 (0.248)	Data 0.050 (0.185)	Loss 5.0648 (5.0661)	Prec@1 2.344 (4.207)	Prec@5 16.016 (14.841)
Epoch: [3][5320/7045]	Time 0.465 (0.248)	Data 0.413 (0.185)	Loss 4.9906 (5.0660)	Prec@1 3.125 (4.207)	Prec@5 15.625 (14.843)
Epoch: [3][5330/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 5.0367 (5.0659)	Prec@1 3.516 (4.209)	Prec@5 12.891 (14.842)
Epoch: [3][5340/7045]	Time 0.606 (0.248)	Data 0.554 (0.185)	Loss 5.0996 (5.0659)	Prec@1 5.469 (4.208)	Prec@5 14.844 (14.843)
Epoch: [3][5350/7045]	Time 0.154 (0.248)	Data 0.103 (0.185)	Loss 5.1005 (5.0658)	Prec@1 1.953 (4.209)	Prec@5 13.281 (14.844)
Epoch: [3][5360/7045]	Time 0.537 (0.248)	Data 0.487 (0.185)	Loss 5.0847 (5.0658)	Prec@1 2.344 (4.209)	Prec@5 12.891 (14.846)
Epoch: [3][5370/7045]	Time 0.101 (0.248)	Data 0.004 (0.185)	Loss 5.0525 (5.0659)	Prec@1 5.469 (4.210)	Prec@5 16.016 (14.847)
Epoch: [3][5380/7045]	Time 0.456 (0.248)	Data 0.405 (0.185)	Loss 4.9808 (5.0657)	Prec@1 3.516 (4.211)	Prec@5 16.406 (14.850)
Epoch: [3][5390/7045]	Time 0.103 (0.248)	Data 0.003 (0.185)	Loss 5.0917 (5.0657)	Prec@1 3.906 (4.210)	Prec@5 17.578 (14.850)
Epoch: [3][5400/7045]	Time 0.345 (0.248)	Data 0.294 (0.185)	Loss 5.1207 (5.0657)	Prec@1 4.688 (4.210)	Prec@5 12.500 (14.851)
Epoch: [3][5410/7045]	Time 0.155 (0.248)	Data 0.104 (0.185)	Loss 5.0781 (5.0656)	Prec@1 4.297 (4.210)	Prec@5 14.062 (14.852)
Epoch: [3][5420/7045]	Time 0.264 (0.248)	Data 0.212 (0.185)	Loss 5.0303 (5.0655)	Prec@1 4.688 (4.209)	Prec@5 14.453 (14.853)
Epoch: [3][5430/7045]	Time 0.107 (0.248)	Data 0.054 (0.185)	Loss 5.0918 (5.0654)	Prec@1 4.297 (4.210)	Prec@5 15.234 (14.853)
Epoch: [3][5440/7045]	Time 0.247 (0.248)	Data 0.194 (0.185)	Loss 5.1375 (5.0655)	Prec@1 3.906 (4.210)	Prec@5 12.500 (14.853)
Epoch: [3][5450/7045]	Time 0.295 (0.248)	Data 0.244 (0.185)	Loss 5.0032 (5.0654)	Prec@1 4.297 (4.210)	Prec@5 16.797 (14.853)
Epoch: [3][5460/7045]	Time 0.467 (0.248)	Data 0.410 (0.185)	Loss 5.1805 (5.0655)	Prec@1 2.344 (4.210)	Prec@5 12.500 (14.852)
Epoch: [3][5470/7045]	Time 0.262 (0.248)	Data 0.211 (0.185)	Loss 5.0085 (5.0654)	Prec@1 4.688 (4.210)	Prec@5 14.844 (14.851)
Epoch: [3][5480/7045]	Time 0.500 (0.248)	Data 0.449 (0.185)	Loss 5.0062 (5.0654)	Prec@1 3.125 (4.208)	Prec@5 15.625 (14.850)
Epoch: [3][5490/7045]	Time 0.315 (0.248)	Data 0.263 (0.185)	Loss 4.9561 (5.0655)	Prec@1 4.297 (4.208)	Prec@5 15.234 (14.848)
Epoch: [3][5500/7045]	Time 0.447 (0.248)	Data 0.391 (0.185)	Loss 4.9821 (5.0655)	Prec@1 4.688 (4.207)	Prec@5 17.578 (14.849)
Epoch: [3][5510/7045]	Time 0.322 (0.248)	Data 0.270 (0.185)	Loss 4.9898 (5.0655)	Prec@1 6.641 (4.209)	Prec@5 17.969 (14.851)
Epoch: [3][5520/7045]	Time 0.309 (0.248)	Data 0.258 (0.185)	Loss 5.2063 (5.0654)	Prec@1 3.125 (4.210)	Prec@5 13.672 (14.852)
Epoch: [3][5530/7045]	Time 0.348 (0.248)	Data 0.291 (0.185)	Loss 5.0661 (5.0653)	Prec@1 3.125 (4.210)	Prec@5 15.234 (14.854)
Epoch: [3][5540/7045]	Time 0.323 (0.248)	Data 0.271 (0.185)	Loss 4.8640 (5.0651)	Prec@1 4.297 (4.211)	Prec@5 18.750 (14.857)
Epoch: [3][5550/7045]	Time 0.245 (0.248)	Data 0.193 (0.185)	Loss 4.9934 (5.0651)	Prec@1 3.906 (4.212)	Prec@5 14.062 (14.860)
Epoch: [3][5560/7045]	Time 0.416 (0.248)	Data 0.357 (0.185)	Loss 5.0852 (5.0651)	Prec@1 4.297 (4.211)	Prec@5 13.672 (14.857)
Epoch: [3][5570/7045]	Time 0.176 (0.248)	Data 0.125 (0.185)	Loss 4.9296 (5.0649)	Prec@1 4.688 (4.211)	Prec@5 13.281 (14.858)
Epoch: [3][5580/7045]	Time 0.421 (0.248)	Data 0.370 (0.185)	Loss 4.9949 (5.0648)	Prec@1 5.078 (4.212)	Prec@5 15.625 (14.859)
Epoch: [3][5590/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 5.0514 (5.0647)	Prec@1 4.688 (4.213)	Prec@5 18.750 (14.862)
Epoch: [3][5600/7045]	Time 0.263 (0.248)	Data 0.211 (0.185)	Loss 4.9143 (5.0647)	Prec@1 6.250 (4.213)	Prec@5 19.141 (14.863)
Epoch: [3][5610/7045]	Time 0.364 (0.248)	Data 0.313 (0.185)	Loss 5.0571 (5.0646)	Prec@1 3.125 (4.213)	Prec@5 14.453 (14.863)
Epoch: [3][5620/7045]	Time 0.110 (0.248)	Data 0.055 (0.185)	Loss 5.1273 (5.0646)	Prec@1 4.297 (4.213)	Prec@5 12.891 (14.863)
Epoch: [3][5630/7045]	Time 0.366 (0.248)	Data 0.314 (0.185)	Loss 5.1966 (5.0645)	Prec@1 4.688 (4.214)	Prec@5 12.891 (14.864)
Epoch: [3][5640/7045]	Time 0.134 (0.248)	Data 0.082 (0.185)	Loss 5.1743 (5.0645)	Prec@1 2.734 (4.214)	Prec@5 11.328 (14.866)
Epoch: [3][5650/7045]	Time 0.272 (0.248)	Data 0.220 (0.185)	Loss 5.0836 (5.0645)	Prec@1 2.344 (4.213)	Prec@5 11.719 (14.866)
Epoch: [3][5660/7045]	Time 0.102 (0.248)	Data 0.004 (0.185)	Loss 5.1366 (5.0645)	Prec@1 4.688 (4.213)	Prec@5 14.062 (14.866)
Epoch: [3][5670/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 5.0991 (5.0646)	Prec@1 4.688 (4.213)	Prec@5 12.891 (14.863)
Epoch: [3][5680/7045]	Time 0.500 (0.248)	Data 0.449 (0.185)	Loss 4.9646 (5.0645)	Prec@1 2.734 (4.213)	Prec@5 16.797 (14.866)
Epoch: [3][5690/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 5.0440 (5.0645)	Prec@1 4.688 (4.214)	Prec@5 12.891 (14.864)
Epoch: [3][5700/7045]	Time 0.351 (0.248)	Data 0.299 (0.185)	Loss 5.0826 (5.0644)	Prec@1 5.078 (4.214)	Prec@5 17.969 (14.863)
Epoch: [3][5710/7045]	Time 0.182 (0.248)	Data 0.130 (0.185)	Loss 5.0510 (5.0643)	Prec@1 3.125 (4.215)	Prec@5 16.797 (14.866)
Epoch: [3][5720/7045]	Time 0.100 (0.248)	Data 0.001 (0.185)	Loss 5.0060 (5.0643)	Prec@1 4.688 (4.216)	Prec@5 14.844 (14.866)
Epoch: [3][5730/7045]	Time 0.178 (0.248)	Data 0.125 (0.185)	Loss 5.0155 (5.0643)	Prec@1 5.078 (4.215)	Prec@5 15.234 (14.865)
Epoch: [3][5740/7045]	Time 0.317 (0.248)	Data 0.261 (0.185)	Loss 5.1061 (5.0644)	Prec@1 3.125 (4.215)	Prec@5 9.375 (14.862)
Epoch: [3][5750/7045]	Time 0.373 (0.248)	Data 0.322 (0.185)	Loss 5.0707 (5.0644)	Prec@1 3.125 (4.215)	Prec@5 12.891 (14.863)
Epoch: [3][5760/7045]	Time 0.344 (0.248)	Data 0.287 (0.186)	Loss 5.0422 (5.0644)	Prec@1 4.297 (4.216)	Prec@5 18.750 (14.866)
Epoch: [3][5770/7045]	Time 0.375 (0.248)	Data 0.324 (0.186)	Loss 4.9225 (5.0643)	Prec@1 5.078 (4.217)	Prec@5 19.531 (14.868)
Epoch: [3][5780/7045]	Time 0.288 (0.248)	Data 0.237 (0.185)	Loss 4.9665 (5.0642)	Prec@1 5.859 (4.216)	Prec@5 14.062 (14.869)
Epoch: [3][5790/7045]	Time 0.411 (0.248)	Data 0.359 (0.185)	Loss 5.1450 (5.0642)	Prec@1 1.562 (4.217)	Prec@5 16.406 (14.869)
Epoch: [3][5800/7045]	Time 0.307 (0.248)	Data 0.256 (0.185)	Loss 5.0710 (5.0642)	Prec@1 3.516 (4.215)	Prec@5 12.109 (14.867)
Epoch: [3][5810/7045]	Time 0.200 (0.248)	Data 0.149 (0.185)	Loss 5.0762 (5.0642)	Prec@1 4.297 (4.215)	Prec@5 13.281 (14.865)
Epoch: [3][5820/7045]	Time 0.590 (0.248)	Data 0.539 (0.185)	Loss 5.0331 (5.0642)	Prec@1 3.906 (4.215)	Prec@5 14.062 (14.864)
Epoch: [3][5830/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 5.1691 (5.0643)	Prec@1 3.516 (4.214)	Prec@5 12.500 (14.861)
Epoch: [3][5840/7045]	Time 0.805 (0.248)	Data 0.748 (0.185)	Loss 4.9422 (5.0643)	Prec@1 3.516 (4.214)	Prec@5 14.062 (14.862)
Epoch: [3][5850/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 4.9961 (5.0642)	Prec@1 7.031 (4.214)	Prec@5 16.797 (14.863)
Epoch: [3][5860/7045]	Time 0.590 (0.248)	Data 0.537 (0.185)	Loss 4.8860 (5.0641)	Prec@1 6.250 (4.215)	Prec@5 18.359 (14.864)
Epoch: [3][5870/7045]	Time 0.111 (0.248)	Data 0.060 (0.185)	Loss 5.0758 (5.0642)	Prec@1 3.906 (4.215)	Prec@5 17.188 (14.865)
Epoch: [3][5880/7045]	Time 0.544 (0.248)	Data 0.492 (0.185)	Loss 5.0327 (5.0642)	Prec@1 3.516 (4.214)	Prec@5 15.625 (14.863)
Epoch: [3][5890/7045]	Time 0.133 (0.248)	Data 0.081 (0.185)	Loss 4.9371 (5.0641)	Prec@1 5.078 (4.215)	Prec@5 15.234 (14.864)
Epoch: [3][5900/7045]	Time 0.557 (0.248)	Data 0.504 (0.185)	Loss 5.0436 (5.0641)	Prec@1 4.297 (4.217)	Prec@5 11.328 (14.865)
Epoch: [3][5910/7045]	Time 0.276 (0.248)	Data 0.219 (0.185)	Loss 5.0907 (5.0641)	Prec@1 4.688 (4.218)	Prec@5 14.062 (14.865)
Epoch: [3][5920/7045]	Time 0.344 (0.248)	Data 0.293 (0.185)	Loss 5.1420 (5.0641)	Prec@1 4.297 (4.219)	Prec@5 14.062 (14.865)
Epoch: [3][5930/7045]	Time 0.594 (0.248)	Data 0.543 (0.185)	Loss 4.8832 (5.0641)	Prec@1 4.688 (4.218)	Prec@5 16.797 (14.863)
Epoch: [3][5940/7045]	Time 0.137 (0.248)	Data 0.085 (0.185)	Loss 5.1195 (5.0640)	Prec@1 4.297 (4.219)	Prec@5 12.891 (14.864)
Epoch: [3][5950/7045]	Time 0.483 (0.248)	Data 0.432 (0.185)	Loss 5.0196 (5.0641)	Prec@1 3.516 (4.218)	Prec@5 15.625 (14.863)
Epoch: [3][5960/7045]	Time 0.109 (0.248)	Data 0.001 (0.185)	Loss 5.0530 (5.0640)	Prec@1 5.078 (4.218)	Prec@5 14.844 (14.863)
Epoch: [3][5970/7045]	Time 0.342 (0.248)	Data 0.292 (0.185)	Loss 4.8731 (5.0640)	Prec@1 5.078 (4.218)	Prec@5 18.359 (14.863)
Epoch: [3][5980/7045]	Time 0.131 (0.248)	Data 0.080 (0.185)	Loss 5.0746 (5.0639)	Prec@1 5.469 (4.218)	Prec@5 16.406 (14.864)
Epoch: [3][5990/7045]	Time 0.386 (0.248)	Data 0.335 (0.185)	Loss 5.0201 (5.0639)	Prec@1 5.859 (4.218)	Prec@5 17.188 (14.864)
Epoch: [3][6000/7045]	Time 0.251 (0.248)	Data 0.200 (0.185)	Loss 5.0358 (5.0639)	Prec@1 4.297 (4.219)	Prec@5 13.281 (14.864)
Epoch: [3][6010/7045]	Time 0.347 (0.248)	Data 0.295 (0.185)	Loss 5.0221 (5.0638)	Prec@1 3.516 (4.220)	Prec@5 12.109 (14.866)
Epoch: [3][6020/7045]	Time 0.157 (0.248)	Data 0.106 (0.185)	Loss 4.9444 (5.0638)	Prec@1 2.344 (4.220)	Prec@5 18.750 (14.867)
Epoch: [3][6030/7045]	Time 0.303 (0.248)	Data 0.245 (0.185)	Loss 5.0443 (5.0637)	Prec@1 3.906 (4.220)	Prec@5 11.719 (14.868)
Epoch: [3][6040/7045]	Time 0.109 (0.248)	Data 0.058 (0.185)	Loss 5.2237 (5.0638)	Prec@1 3.516 (4.219)	Prec@5 11.328 (14.867)
Epoch: [3][6050/7045]	Time 0.167 (0.248)	Data 0.115 (0.185)	Loss 5.0326 (5.0640)	Prec@1 4.297 (4.218)	Prec@5 16.406 (14.864)
Epoch: [3][6060/7045]	Time 0.102 (0.248)	Data 0.051 (0.185)	Loss 5.2592 (5.0640)	Prec@1 2.734 (4.218)	Prec@5 11.719 (14.864)
Epoch: [3][6070/7045]	Time 0.101 (0.248)	Data 0.006 (0.185)	Loss 5.1030 (5.0641)	Prec@1 4.688 (4.218)	Prec@5 13.281 (14.863)
Epoch: [3][6080/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 5.0222 (5.0642)	Prec@1 4.688 (4.217)	Prec@5 15.234 (14.863)
Epoch: [3][6090/7045]	Time 0.109 (0.248)	Data 0.004 (0.185)	Loss 5.0495 (5.0641)	Prec@1 5.469 (4.219)	Prec@5 14.062 (14.863)
Epoch: [3][6100/7045]	Time 0.101 (0.248)	Data 0.002 (0.185)	Loss 4.9631 (5.0640)	Prec@1 3.516 (4.219)	Prec@5 16.016 (14.865)
Epoch: [3][6110/7045]	Time 0.109 (0.248)	Data 0.006 (0.185)	Loss 5.2053 (5.0640)	Prec@1 4.297 (4.218)	Prec@5 14.844 (14.865)
Epoch: [3][6120/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 5.1249 (5.0639)	Prec@1 2.734 (4.219)	Prec@5 12.500 (14.868)
Epoch: [3][6130/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 4.9842 (5.0639)	Prec@1 5.469 (4.221)	Prec@5 18.359 (14.871)
Epoch: [3][6140/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 5.1190 (5.0639)	Prec@1 2.344 (4.220)	Prec@5 12.500 (14.870)
Epoch: [3][6150/7045]	Time 0.117 (0.248)	Data 0.064 (0.185)	Loss 5.1080 (5.0639)	Prec@1 3.516 (4.221)	Prec@5 16.406 (14.870)
Epoch: [3][6160/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 5.2293 (5.0639)	Prec@1 1.562 (4.220)	Prec@5 10.938 (14.870)
Epoch: [3][6170/7045]	Time 0.236 (0.248)	Data 0.184 (0.185)	Loss 4.9865 (5.0638)	Prec@1 3.516 (4.220)	Prec@5 17.188 (14.871)
Epoch: [3][6180/7045]	Time 0.127 (0.248)	Data 0.076 (0.185)	Loss 5.0283 (5.0638)	Prec@1 6.641 (4.221)	Prec@5 14.453 (14.872)
Epoch: [3][6190/7045]	Time 0.357 (0.248)	Data 0.307 (0.185)	Loss 4.9391 (5.0637)	Prec@1 5.078 (4.222)	Prec@5 19.141 (14.873)
Epoch: [3][6200/7045]	Time 0.130 (0.248)	Data 0.078 (0.185)	Loss 5.2102 (5.0638)	Prec@1 4.297 (4.223)	Prec@5 10.547 (14.874)
Epoch: [3][6210/7045]	Time 0.320 (0.248)	Data 0.269 (0.185)	Loss 5.0170 (5.0638)	Prec@1 4.688 (4.223)	Prec@5 16.016 (14.874)
Epoch: [3][6220/7045]	Time 0.157 (0.248)	Data 0.105 (0.185)	Loss 4.8241 (5.0636)	Prec@1 6.641 (4.225)	Prec@5 19.141 (14.877)
Epoch: [3][6230/7045]	Time 0.408 (0.248)	Data 0.349 (0.185)	Loss 5.0981 (5.0636)	Prec@1 3.125 (4.225)	Prec@5 11.328 (14.876)
Epoch: [3][6240/7045]	Time 0.152 (0.247)	Data 0.100 (0.185)	Loss 5.0786 (5.0636)	Prec@1 4.688 (4.225)	Prec@5 16.016 (14.876)
Epoch: [3][6250/7045]	Time 0.328 (0.248)	Data 0.277 (0.185)	Loss 5.0520 (5.0635)	Prec@1 3.906 (4.226)	Prec@5 15.625 (14.878)
Epoch: [3][6260/7045]	Time 0.180 (0.247)	Data 0.130 (0.185)	Loss 5.0212 (5.0635)	Prec@1 5.078 (4.226)	Prec@5 15.625 (14.878)
Epoch: [3][6270/7045]	Time 0.586 (0.248)	Data 0.535 (0.185)	Loss 4.8328 (5.0634)	Prec@1 5.469 (4.226)	Prec@5 16.406 (14.880)
Epoch: [3][6280/7045]	Time 0.101 (0.247)	Data 0.003 (0.185)	Loss 4.9781 (5.0634)	Prec@1 3.906 (4.226)	Prec@5 13.672 (14.879)
Epoch: [3][6290/7045]	Time 0.501 (0.248)	Data 0.451 (0.185)	Loss 5.1528 (5.0633)	Prec@1 4.297 (4.226)	Prec@5 14.844 (14.879)
Epoch: [3][6300/7045]	Time 0.101 (0.247)	Data 0.049 (0.185)	Loss 5.0163 (5.0633)	Prec@1 3.516 (4.224)	Prec@5 15.234 (14.879)
Epoch: [3][6310/7045]	Time 0.794 (0.248)	Data 0.743 (0.185)	Loss 5.1931 (5.0634)	Prec@1 2.734 (4.224)	Prec@5 11.328 (14.878)
Epoch: [3][6320/7045]	Time 0.369 (0.247)	Data 0.318 (0.185)	Loss 5.2012 (5.0635)	Prec@1 3.906 (4.225)	Prec@5 12.891 (14.876)
Epoch: [3][6330/7045]	Time 0.164 (0.247)	Data 0.104 (0.185)	Loss 5.2383 (5.0635)	Prec@1 2.734 (4.225)	Prec@5 11.328 (14.877)
Epoch: [3][6340/7045]	Time 0.103 (0.247)	Data 0.001 (0.185)	Loss 5.0763 (5.0636)	Prec@1 5.469 (4.225)	Prec@5 11.719 (14.877)
Epoch: [3][6350/7045]	Time 0.094 (0.248)	Data 0.001 (0.185)	Loss 5.1104 (5.0636)	Prec@1 3.125 (4.225)	Prec@5 14.062 (14.878)
Epoch: [3][6360/7045]	Time 0.486 (0.248)	Data 0.436 (0.185)	Loss 5.0410 (5.0635)	Prec@1 2.344 (4.225)	Prec@5 16.016 (14.879)
Epoch: [3][6370/7045]	Time 0.107 (0.248)	Data 0.001 (0.185)	Loss 5.1051 (5.0634)	Prec@1 3.906 (4.225)	Prec@5 13.672 (14.881)
Epoch: [3][6380/7045]	Time 0.518 (0.248)	Data 0.460 (0.185)	Loss 5.1890 (5.0634)	Prec@1 7.422 (4.226)	Prec@5 14.062 (14.883)
Epoch: [3][6390/7045]	Time 0.216 (0.248)	Data 0.166 (0.185)	Loss 5.0319 (5.0634)	Prec@1 3.516 (4.225)	Prec@5 15.625 (14.882)
Epoch: [3][6400/7045]	Time 0.466 (0.248)	Data 0.409 (0.185)	Loss 4.8280 (5.0633)	Prec@1 7.812 (4.226)	Prec@5 21.484 (14.885)
Epoch: [3][6410/7045]	Time 0.344 (0.248)	Data 0.293 (0.185)	Loss 5.1679 (5.0633)	Prec@1 3.125 (4.225)	Prec@5 13.281 (14.884)
Epoch: [3][6420/7045]	Time 0.165 (0.248)	Data 0.114 (0.185)	Loss 4.8741 (5.0633)	Prec@1 6.250 (4.225)	Prec@5 14.844 (14.884)
Epoch: [3][6430/7045]	Time 0.243 (0.248)	Data 0.192 (0.185)	Loss 5.0396 (5.0633)	Prec@1 4.297 (4.224)	Prec@5 15.234 (14.885)
Epoch: [3][6440/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 5.1547 (5.0633)	Prec@1 5.469 (4.225)	Prec@5 14.844 (14.885)
Epoch: [3][6450/7045]	Time 0.170 (0.248)	Data 0.119 (0.185)	Loss 5.0341 (5.0632)	Prec@1 4.688 (4.226)	Prec@5 16.016 (14.886)
Epoch: [3][6460/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 5.0735 (5.0633)	Prec@1 3.125 (4.226)	Prec@5 13.281 (14.886)
Epoch: [3][6470/7045]	Time 0.373 (0.248)	Data 0.321 (0.185)	Loss 5.1469 (5.0634)	Prec@1 3.906 (4.225)	Prec@5 13.281 (14.884)
Epoch: [3][6480/7045]	Time 0.339 (0.248)	Data 0.288 (0.185)	Loss 5.0190 (5.0634)	Prec@1 4.688 (4.225)	Prec@5 17.578 (14.885)
Epoch: [3][6490/7045]	Time 0.362 (0.248)	Data 0.311 (0.185)	Loss 5.2844 (5.0634)	Prec@1 2.344 (4.225)	Prec@5 11.328 (14.887)
Epoch: [3][6500/7045]	Time 0.100 (0.248)	Data 0.004 (0.185)	Loss 5.1246 (5.0634)	Prec@1 4.297 (4.225)	Prec@5 15.234 (14.886)
Epoch: [3][6510/7045]	Time 0.131 (0.248)	Data 0.079 (0.185)	Loss 5.1060 (5.0634)	Prec@1 2.734 (4.226)	Prec@5 14.062 (14.887)
Epoch: [3][6520/7045]	Time 0.167 (0.248)	Data 0.115 (0.185)	Loss 5.0301 (5.0635)	Prec@1 4.297 (4.227)	Prec@5 19.141 (14.885)
Epoch: [3][6530/7045]	Time 0.494 (0.248)	Data 0.443 (0.185)	Loss 5.0633 (5.0636)	Prec@1 5.078 (4.227)	Prec@5 12.891 (14.884)
Epoch: [3][6540/7045]	Time 0.167 (0.248)	Data 0.115 (0.185)	Loss 5.0953 (5.0636)	Prec@1 4.688 (4.228)	Prec@5 11.328 (14.884)
Epoch: [3][6550/7045]	Time 0.556 (0.248)	Data 0.505 (0.185)	Loss 4.9977 (5.0635)	Prec@1 3.906 (4.228)	Prec@5 14.453 (14.885)
Epoch: [3][6560/7045]	Time 0.211 (0.248)	Data 0.159 (0.185)	Loss 5.1917 (5.0637)	Prec@1 4.688 (4.227)	Prec@5 16.016 (14.883)
Epoch: [3][6570/7045]	Time 0.427 (0.248)	Data 0.375 (0.185)	Loss 5.0739 (5.0637)	Prec@1 2.344 (4.228)	Prec@5 15.625 (14.885)
Epoch: [3][6580/7045]	Time 0.511 (0.248)	Data 0.460 (0.185)	Loss 5.1682 (5.0637)	Prec@1 5.859 (4.227)	Prec@5 14.844 (14.885)
Epoch: [3][6590/7045]	Time 0.108 (0.248)	Data 0.006 (0.185)	Loss 5.0246 (5.0636)	Prec@1 4.688 (4.228)	Prec@5 12.891 (14.884)
Epoch: [3][6600/7045]	Time 0.475 (0.248)	Data 0.425 (0.185)	Loss 4.9209 (5.0636)	Prec@1 5.859 (4.227)	Prec@5 17.969 (14.884)
Epoch: [3][6610/7045]	Time 0.101 (0.248)	Data 0.047 (0.185)	Loss 5.1542 (5.0635)	Prec@1 4.688 (4.228)	Prec@5 14.062 (14.884)
Epoch: [3][6620/7045]	Time 0.324 (0.248)	Data 0.273 (0.185)	Loss 5.0265 (5.0635)	Prec@1 3.125 (4.227)	Prec@5 19.141 (14.883)
Epoch: [3][6630/7045]	Time 0.101 (0.248)	Data 0.044 (0.185)	Loss 5.0943 (5.0635)	Prec@1 5.078 (4.228)	Prec@5 14.844 (14.883)
Epoch: [3][6640/7045]	Time 0.154 (0.248)	Data 0.096 (0.185)	Loss 5.0949 (5.0635)	Prec@1 4.688 (4.227)	Prec@5 16.016 (14.882)
Epoch: [3][6650/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 4.9992 (5.0634)	Prec@1 4.297 (4.227)	Prec@5 12.891 (14.881)
Epoch: [3][6660/7045]	Time 0.298 (0.248)	Data 0.248 (0.185)	Loss 4.9807 (5.0634)	Prec@1 5.469 (4.228)	Prec@5 15.234 (14.882)
Epoch: [3][6670/7045]	Time 0.101 (0.248)	Data 0.008 (0.185)	Loss 5.1012 (5.0634)	Prec@1 5.078 (4.227)	Prec@5 14.062 (14.882)
Epoch: [3][6680/7045]	Time 0.413 (0.248)	Data 0.362 (0.185)	Loss 5.1013 (5.0633)	Prec@1 2.344 (4.227)	Prec@5 12.891 (14.881)
Epoch: [3][6690/7045]	Time 0.101 (0.248)	Data 0.003 (0.185)	Loss 4.9625 (5.0633)	Prec@1 5.859 (4.228)	Prec@5 19.922 (14.882)
Epoch: [3][6700/7045]	Time 0.248 (0.248)	Data 0.197 (0.185)	Loss 4.9137 (5.0632)	Prec@1 3.125 (4.228)	Prec@5 16.016 (14.884)
Epoch: [3][6710/7045]	Time 0.103 (0.248)	Data 0.050 (0.185)	Loss 5.0299 (5.0630)	Prec@1 6.250 (4.229)	Prec@5 12.891 (14.887)
Epoch: [3][6720/7045]	Time 0.547 (0.248)	Data 0.495 (0.185)	Loss 4.9551 (5.0628)	Prec@1 6.250 (4.229)	Prec@5 19.141 (14.889)
Epoch: [3][6730/7045]	Time 0.102 (0.248)	Data 0.003 (0.185)	Loss 5.1299 (5.0628)	Prec@1 4.688 (4.229)	Prec@5 15.625 (14.889)
Epoch: [3][6740/7045]	Time 0.460 (0.248)	Data 0.401 (0.185)	Loss 5.0626 (5.0628)	Prec@1 3.906 (4.229)	Prec@5 12.500 (14.890)
Epoch: [3][6750/7045]	Time 0.102 (0.248)	Data 0.011 (0.185)	Loss 5.0829 (5.0628)	Prec@1 2.734 (4.229)	Prec@5 16.406 (14.891)
Epoch: [3][6760/7045]	Time 0.367 (0.248)	Data 0.310 (0.185)	Loss 5.1752 (5.0628)	Prec@1 3.906 (4.229)	Prec@5 14.062 (14.892)
Epoch: [3][6770/7045]	Time 0.166 (0.247)	Data 0.113 (0.185)	Loss 5.1240 (5.0628)	Prec@1 4.688 (4.230)	Prec@5 13.672 (14.890)
Epoch: [3][6780/7045]	Time 0.328 (0.248)	Data 0.277 (0.185)	Loss 5.1309 (5.0628)	Prec@1 6.250 (4.230)	Prec@5 16.406 (14.891)
Epoch: [3][6790/7045]	Time 0.307 (0.248)	Data 0.255 (0.185)	Loss 4.9625 (5.0627)	Prec@1 6.250 (4.231)	Prec@5 13.672 (14.892)
Epoch: [3][6800/7045]	Time 0.203 (0.247)	Data 0.152 (0.185)	Loss 5.0048 (5.0627)	Prec@1 6.250 (4.233)	Prec@5 19.531 (14.893)
Epoch: [3][6810/7045]	Time 0.336 (0.248)	Data 0.284 (0.185)	Loss 5.0779 (5.0627)	Prec@1 1.953 (4.232)	Prec@5 14.453 (14.894)
Epoch: [3][6820/7045]	Time 0.104 (0.247)	Data 0.001 (0.185)	Loss 5.0008 (5.0627)	Prec@1 4.688 (4.233)	Prec@5 16.406 (14.894)
Epoch: [3][6830/7045]	Time 0.102 (0.248)	Data 0.003 (0.185)	Loss 5.2529 (5.0627)	Prec@1 2.734 (4.231)	Prec@5 10.938 (14.893)
Epoch: [3][6840/7045]	Time 0.292 (0.247)	Data 0.240 (0.185)	Loss 5.1263 (5.0628)	Prec@1 3.516 (4.231)	Prec@5 14.453 (14.891)
Epoch: [3][6850/7045]	Time 0.184 (0.247)	Data 0.133 (0.185)	Loss 5.1646 (5.0628)	Prec@1 2.344 (4.231)	Prec@5 14.062 (14.892)
Epoch: [3][6860/7045]	Time 0.261 (0.247)	Data 0.209 (0.185)	Loss 5.0405 (5.0627)	Prec@1 4.297 (4.231)	Prec@5 12.500 (14.893)
Epoch: [3][6870/7045]	Time 0.101 (0.247)	Data 0.046 (0.185)	Loss 5.2610 (5.0628)	Prec@1 4.688 (4.231)	Prec@5 12.891 (14.893)
Epoch: [3][6880/7045]	Time 0.329 (0.248)	Data 0.278 (0.185)	Loss 5.0293 (5.0628)	Prec@1 5.469 (4.231)	Prec@5 17.969 (14.894)
Epoch: [3][6890/7045]	Time 0.101 (0.247)	Data 0.001 (0.185)	Loss 4.9754 (5.0628)	Prec@1 5.078 (4.231)	Prec@5 16.406 (14.895)
Epoch: [3][6900/7045]	Time 0.195 (0.248)	Data 0.144 (0.185)	Loss 5.1322 (5.0629)	Prec@1 3.516 (4.230)	Prec@5 13.672 (14.892)
Epoch: [3][6910/7045]	Time 0.102 (0.247)	Data 0.001 (0.185)	Loss 4.9811 (5.0629)	Prec@1 6.250 (4.231)	Prec@5 16.797 (14.893)
Epoch: [3][6920/7045]	Time 0.101 (0.248)	Data 0.045 (0.185)	Loss 5.2186 (5.0630)	Prec@1 3.906 (4.230)	Prec@5 13.281 (14.891)
Epoch: [3][6930/7045]	Time 0.305 (0.248)	Data 0.254 (0.185)	Loss 5.0049 (5.0629)	Prec@1 2.734 (4.230)	Prec@5 19.922 (14.892)
Epoch: [3][6940/7045]	Time 0.102 (0.247)	Data 0.046 (0.185)	Loss 5.0826 (5.0629)	Prec@1 4.688 (4.231)	Prec@5 14.062 (14.891)
Epoch: [3][6950/7045]	Time 0.305 (0.248)	Data 0.253 (0.185)	Loss 5.0186 (5.0629)	Prec@1 3.906 (4.231)	Prec@5 18.359 (14.892)
Epoch: [3][6960/7045]	Time 0.101 (0.247)	Data 0.001 (0.185)	Loss 5.0071 (5.0629)	Prec@1 6.641 (4.231)	Prec@5 17.969 (14.892)
Epoch: [3][6970/7045]	Time 0.160 (0.248)	Data 0.104 (0.185)	Loss 5.0524 (5.0628)	Prec@1 1.953 (4.232)	Prec@5 14.844 (14.892)
Epoch: [3][6980/7045]	Time 0.116 (0.247)	Data 0.062 (0.185)	Loss 5.0773 (5.0627)	Prec@1 5.469 (4.233)	Prec@5 15.625 (14.892)
Epoch: [3][6990/7045]	Time 0.110 (0.248)	Data 0.004 (0.185)	Loss 5.0384 (5.0627)	Prec@1 5.859 (4.233)	Prec@5 15.234 (14.893)
Epoch: [3][7000/7045]	Time 0.334 (0.247)	Data 0.283 (0.185)	Loss 5.1053 (5.0628)	Prec@1 4.297 (4.233)	Prec@5 17.578 (14.893)
Epoch: [3][7010/7045]	Time 0.102 (0.247)	Data 0.049 (0.185)	Loss 5.1429 (5.0628)	Prec@1 2.344 (4.231)	Prec@5 11.719 (14.891)
Epoch: [3][7020/7045]	Time 0.230 (0.247)	Data 0.179 (0.185)	Loss 5.0291 (5.0627)	Prec@1 5.078 (4.232)	Prec@5 14.844 (14.892)
Epoch: [3][7030/7045]	Time 0.101 (0.247)	Data 0.008 (0.185)	Loss 5.0761 (5.0627)	Prec@1 3.906 (4.231)	Prec@5 13.672 (14.892)
Epoch: [3][7040/7045]	Time 0.115 (0.247)	Data 0.065 (0.185)	Loss 5.1429 (5.0627)	Prec@1 2.734 (4.231)	Prec@5 11.719 (14.892)
Test: [0/143]	Time 1.233 (1.233)	Loss 4.9233 (4.9233)	Prec@1 5.859 (5.859)	Prec@5 17.188 (17.188)
Test: [10/143]	Time 0.286 (0.256)	Loss 4.8453 (4.9408)	Prec@1 5.469 (2.876)	Prec@5 25.391 (15.874)
Test: [20/143]	Time 0.256 (0.219)	Loss 5.0771 (4.8765)	Prec@1 1.953 (4.501)	Prec@5 11.719 (18.880)
Test: [30/143]	Time 0.142 (0.201)	Loss 5.0376 (4.8789)	Prec@1 0.000 (4.675)	Prec@5 11.719 (18.422)
Test: [40/143]	Time 0.104 (0.197)	Loss 5.0557 (4.8645)	Prec@1 0.391 (5.202)	Prec@5 7.031 (18.941)
Test: [50/143]	Time 0.107 (0.189)	Loss 4.9113 (4.8892)	Prec@1 6.641 (4.825)	Prec@5 21.875 (17.839)
Test: [60/143]	Time 0.151 (0.190)	Loss 5.2414 (4.8706)	Prec@1 1.172 (5.149)	Prec@5 8.984 (18.571)
Test: [70/143]	Time 0.049 (0.186)	Loss 4.9686 (4.8716)	Prec@1 0.781 (5.172)	Prec@5 11.328 (18.590)
Test: [80/143]	Time 0.292 (0.187)	Loss 4.8444 (4.8771)	Prec@1 3.516 (5.170)	Prec@5 19.531 (18.523)
Test: [90/143]	Time 0.229 (0.184)	Loss 4.8493 (4.8796)	Prec@1 4.688 (5.164)	Prec@5 20.312 (18.510)
Test: [100/143]	Time 0.170 (0.183)	Loss 4.3018 (4.8753)	Prec@1 20.703 (5.357)	Prec@5 39.062 (18.947)
Test: [110/143]	Time 0.166 (0.182)	Loss 4.5352 (4.8720)	Prec@1 16.406 (5.476)	Prec@5 32.031 (19.165)
Test: [120/143]	Time 0.109 (0.181)	Loss 4.8400 (4.8687)	Prec@1 4.688 (5.585)	Prec@5 24.609 (19.454)
Test: [130/143]	Time 0.100 (0.180)	Loss 5.1177 (4.8729)	Prec@1 3.516 (5.513)	Prec@5 15.625 (19.164)
Test: [140/143]	Time 0.376 (0.181)	Loss 5.1702 (4.8776)	Prec@1 0.781 (5.593)	Prec@5 4.688 (19.074)
 * Prec@1 5.589 Prec@5 19.071
Epoch: [4][0/7045]	Time 2.255 (2.255)	Data 2.193 (2.193)	Loss 4.9969 (4.9969)	Prec@1 2.734 (2.734)	Prec@5 14.844 (14.844)
Epoch: [4][10/7045]	Time 0.110 (0.404)	Data 0.003 (0.320)	Loss 5.1682 (5.0604)	Prec@1 3.125 (4.474)	Prec@5 14.844 (14.560)
Epoch: [4][20/7045]	Time 0.678 (0.350)	Data 0.626 (0.273)	Loss 4.9872 (5.0581)	Prec@1 5.078 (4.483)	Prec@5 12.891 (15.030)
Epoch: [4][30/7045]	Time 0.102 (0.305)	Data 0.001 (0.227)	Loss 4.9773 (5.0568)	Prec@1 3.125 (4.423)	Prec@5 15.234 (14.957)
Epoch: [4][40/7045]	Time 0.313 (0.296)	Data 0.261 (0.223)	Loss 5.0142 (5.0395)	Prec@1 4.297 (4.516)	Prec@5 16.016 (15.511)
Epoch: [4][50/7045]	Time 0.361 (0.287)	Data 0.311 (0.217)	Loss 4.9642 (5.0421)	Prec@1 5.469 (4.527)	Prec@5 16.406 (15.472)
Epoch: [4][60/7045]	Time 0.115 (0.279)	Data 0.064 (0.211)	Loss 5.0743 (5.0522)	Prec@1 3.906 (4.457)	Prec@5 14.844 (15.106)
Epoch: [4][70/7045]	Time 0.645 (0.280)	Data 0.593 (0.214)	Loss 5.2324 (5.0541)	Prec@1 3.516 (4.484)	Prec@5 14.062 (15.179)
Epoch: [4][80/7045]	Time 0.101 (0.276)	Data 0.001 (0.208)	Loss 5.0667 (5.0564)	Prec@1 3.516 (4.427)	Prec@5 13.672 (15.022)
Epoch: [4][90/7045]	Time 0.221 (0.273)	Data 0.170 (0.206)	Loss 4.9138 (5.0489)	Prec@1 6.250 (4.486)	Prec@5 19.531 (15.196)
Epoch: [4][100/7045]	Time 0.472 (0.273)	Data 0.420 (0.207)	Loss 4.8968 (5.0446)	Prec@1 3.125 (4.475)	Prec@5 16.016 (15.234)
Epoch: [4][110/7045]	Time 0.169 (0.270)	Data 0.117 (0.204)	Loss 5.1738 (5.0483)	Prec@1 1.953 (4.497)	Prec@5 12.109 (15.171)
Epoch: [4][120/7045]	Time 0.254 (0.270)	Data 0.202 (0.204)	Loss 5.2418 (5.0541)	Prec@1 3.906 (4.452)	Prec@5 12.891 (15.037)
Epoch: [4][130/7045]	Time 0.153 (0.268)	Data 0.101 (0.203)	Loss 5.1546 (5.0566)	Prec@1 2.344 (4.422)	Prec@5 14.062 (14.954)
Epoch: [4][140/7045]	Time 0.101 (0.268)	Data 0.003 (0.203)	Loss 4.8951 (5.0546)	Prec@1 3.516 (4.416)	Prec@5 14.062 (15.032)
Epoch: [4][150/7045]	Time 0.165 (0.267)	Data 0.114 (0.202)	Loss 5.0869 (5.0565)	Prec@1 1.172 (4.369)	Prec@5 14.844 (15.030)
Epoch: [4][160/7045]	Time 0.115 (0.265)	Data 0.064 (0.201)	Loss 4.9995 (5.0554)	Prec@1 5.469 (4.389)	Prec@5 15.625 (15.120)
Epoch: [4][170/7045]	Time 0.358 (0.267)	Data 0.306 (0.202)	Loss 5.0369 (5.0593)	Prec@1 6.250 (4.395)	Prec@5 14.844 (15.104)
Epoch: [4][180/7045]	Time 0.105 (0.264)	Data 0.054 (0.199)	Loss 5.1523 (5.0627)	Prec@1 4.297 (4.357)	Prec@5 11.719 (15.032)
Epoch: [4][190/7045]	Time 0.195 (0.264)	Data 0.144 (0.200)	Loss 4.9296 (5.0631)	Prec@1 5.859 (4.340)	Prec@5 16.016 (15.001)
Epoch: [4][200/7045]	Time 0.223 (0.265)	Data 0.172 (0.201)	Loss 5.0644 (5.0639)	Prec@1 4.297 (4.310)	Prec@5 15.625 (14.988)
Epoch: [4][210/7045]	Time 0.102 (0.263)	Data 0.001 (0.198)	Loss 5.2268 (5.0654)	Prec@1 3.906 (4.284)	Prec@5 11.328 (14.970)
Epoch: [4][220/7045]	Time 0.145 (0.263)	Data 0.092 (0.199)	Loss 5.1967 (5.0656)	Prec@1 2.344 (4.281)	Prec@5 10.938 (14.976)
Epoch: [4][230/7045]	Time 0.110 (0.262)	Data 0.058 (0.197)	Loss 5.0735 (5.0676)	Prec@1 4.297 (4.265)	Prec@5 14.453 (14.966)
Epoch: [4][240/7045]	Time 0.112 (0.262)	Data 0.059 (0.198)	Loss 5.1438 (5.0678)	Prec@1 4.688 (4.263)	Prec@5 13.281 (14.957)
Epoch: [4][250/7045]	Time 0.585 (0.263)	Data 0.534 (0.198)	Loss 5.0632 (5.0675)	Prec@1 3.906 (4.247)	Prec@5 14.844 (14.990)
Epoch: [4][260/7045]	Time 0.108 (0.262)	Data 0.055 (0.197)	Loss 5.1446 (5.0681)	Prec@1 4.688 (4.255)	Prec@5 13.281 (14.975)
Epoch: [4][270/7045]	Time 0.596 (0.264)	Data 0.544 (0.198)	Loss 5.0954 (5.0670)	Prec@1 3.125 (4.248)	Prec@5 13.672 (14.975)
Epoch: [4][280/7045]	Time 0.273 (0.263)	Data 0.221 (0.197)	Loss 5.2127 (5.0685)	Prec@1 5.078 (4.254)	Prec@5 14.453 (14.948)
Epoch: [4][290/7045]	Time 0.296 (0.263)	Data 0.244 (0.198)	Loss 5.0832 (5.0693)	Prec@1 3.516 (4.243)	Prec@5 13.672 (14.943)
Epoch: [4][300/7045]	Time 0.355 (0.263)	Data 0.302 (0.198)	Loss 5.1018 (5.0701)	Prec@1 2.734 (4.214)	Prec@5 12.891 (14.915)
Epoch: [4][310/7045]	Time 0.203 (0.263)	Data 0.151 (0.198)	Loss 5.1901 (5.0712)	Prec@1 2.344 (4.223)	Prec@5 12.891 (14.929)
Epoch: [4][320/7045]	Time 0.234 (0.263)	Data 0.183 (0.198)	Loss 5.0371 (5.0721)	Prec@1 4.688 (4.210)	Prec@5 17.578 (14.935)
Epoch: [4][330/7045]	Time 0.325 (0.263)	Data 0.274 (0.199)	Loss 5.0422 (5.0726)	Prec@1 2.734 (4.213)	Prec@5 14.844 (14.932)
Epoch: [4][340/7045]	Time 0.102 (0.263)	Data 0.001 (0.198)	Loss 5.2017 (5.0727)	Prec@1 1.953 (4.183)	Prec@5 10.938 (14.901)
Epoch: [4][350/7045]	Time 0.248 (0.263)	Data 0.196 (0.199)	Loss 4.9449 (5.0722)	Prec@1 7.812 (4.188)	Prec@5 19.922 (14.922)
Epoch: [4][360/7045]	Time 0.671 (0.264)	Data 0.614 (0.199)	Loss 5.1695 (5.0723)	Prec@1 1.172 (4.187)	Prec@5 12.891 (14.919)
Epoch: [4][370/7045]	Time 0.341 (0.263)	Data 0.290 (0.199)	Loss 5.0506 (5.0718)	Prec@1 5.859 (4.185)	Prec@5 19.141 (14.941)
Epoch: [4][380/7045]	Time 0.348 (0.263)	Data 0.297 (0.199)	Loss 5.0359 (5.0710)	Prec@1 3.906 (4.178)	Prec@5 16.016 (14.942)
Epoch: [4][390/7045]	Time 0.568 (0.263)	Data 0.515 (0.199)	Loss 4.9317 (5.0694)	Prec@1 3.906 (4.178)	Prec@5 13.672 (14.972)
Epoch: [4][400/7045]	Time 0.108 (0.263)	Data 0.055 (0.199)	Loss 5.1259 (5.0673)	Prec@1 5.078 (4.193)	Prec@5 14.062 (14.995)
Epoch: [4][410/7045]	Time 0.636 (0.264)	Data 0.585 (0.199)	Loss 4.9711 (5.0660)	Prec@1 5.859 (4.206)	Prec@5 16.406 (15.006)
Epoch: [4][420/7045]	Time 0.312 (0.263)	Data 0.260 (0.199)	Loss 5.0351 (5.0652)	Prec@1 3.906 (4.198)	Prec@5 14.453 (14.996)
Epoch: [4][430/7045]	Time 0.220 (0.262)	Data 0.170 (0.198)	Loss 5.2278 (5.0650)	Prec@1 3.906 (4.189)	Prec@5 12.500 (14.994)
Epoch: [4][440/7045]	Time 0.382 (0.262)	Data 0.325 (0.198)	Loss 5.0142 (5.0657)	Prec@1 4.297 (4.180)	Prec@5 17.969 (14.976)
Epoch: [4][450/7045]	Time 0.375 (0.263)	Data 0.323 (0.199)	Loss 5.0155 (5.0649)	Prec@1 4.688 (4.170)	Prec@5 17.578 (14.968)
Epoch: [4][460/7045]	Time 0.372 (0.263)	Data 0.321 (0.200)	Loss 5.1004 (5.0656)	Prec@1 3.125 (4.171)	Prec@5 13.281 (14.969)
Epoch: [4][470/7045]	Time 0.104 (0.263)	Data 0.052 (0.199)	Loss 5.0983 (5.0663)	Prec@1 6.641 (4.170)	Prec@5 15.234 (14.965)
Epoch: [4][480/7045]	Time 0.401 (0.263)	Data 0.350 (0.200)	Loss 5.2139 (5.0672)	Prec@1 4.297 (4.171)	Prec@5 13.672 (14.940)
Epoch: [4][490/7045]	Time 0.361 (0.263)	Data 0.309 (0.199)	Loss 5.0765 (5.0669)	Prec@1 3.906 (4.177)	Prec@5 12.500 (14.934)
Epoch: [4][500/7045]	Time 0.101 (0.263)	Data 0.005 (0.200)	Loss 4.9357 (5.0650)	Prec@1 5.469 (4.182)	Prec@5 17.188 (14.951)
Epoch: [4][510/7045]	Time 0.239 (0.263)	Data 0.188 (0.200)	Loss 5.1713 (5.0655)	Prec@1 3.125 (4.175)	Prec@5 12.500 (14.944)
Epoch: [4][520/7045]	Time 0.593 (0.264)	Data 0.541 (0.200)	Loss 5.1989 (5.0666)	Prec@1 3.516 (4.167)	Prec@5 11.328 (14.925)
Epoch: [4][530/7045]	Time 0.154 (0.263)	Data 0.102 (0.200)	Loss 4.9618 (5.0676)	Prec@1 4.297 (4.162)	Prec@5 17.188 (14.907)
Epoch: [4][540/7045]	Time 0.345 (0.263)	Data 0.294 (0.200)	Loss 5.1878 (5.0687)	Prec@1 3.125 (4.156)	Prec@5 11.719 (14.888)
Epoch: [4][550/7045]	Time 0.376 (0.264)	Data 0.324 (0.200)	Loss 5.0314 (5.0694)	Prec@1 3.125 (4.147)	Prec@5 11.328 (14.866)
Epoch: [4][560/7045]	Time 0.495 (0.264)	Data 0.443 (0.201)	Loss 5.0809 (5.0691)	Prec@1 3.516 (4.144)	Prec@5 12.500 (14.849)
Epoch: [4][570/7045]	Time 0.101 (0.263)	Data 0.001 (0.200)	Loss 5.0631 (5.0681)	Prec@1 5.469 (4.152)	Prec@5 13.281 (14.855)
Epoch: [4][580/7045]	Time 0.290 (0.263)	Data 0.239 (0.200)	Loss 4.9648 (5.0677)	Prec@1 5.078 (4.154)	Prec@5 16.797 (14.868)
Epoch: [4][590/7045]	Time 0.105 (0.263)	Data 0.052 (0.200)	Loss 5.1846 (5.0680)	Prec@1 3.125 (4.150)	Prec@5 12.109 (14.870)
Epoch: [4][600/7045]	Time 0.111 (0.263)	Data 0.053 (0.200)	Loss 5.0777 (5.0678)	Prec@1 4.297 (4.142)	Prec@5 14.062 (14.868)
Epoch: [4][610/7045]	Time 0.432 (0.263)	Data 0.380 (0.200)	Loss 5.0648 (5.0664)	Prec@1 3.516 (4.149)	Prec@5 14.844 (14.877)
Epoch: [4][620/7045]	Time 0.182 (0.263)	Data 0.130 (0.200)	Loss 5.0341 (5.0660)	Prec@1 5.859 (4.155)	Prec@5 17.188 (14.887)
Epoch: [4][630/7045]	Time 0.474 (0.263)	Data 0.423 (0.200)	Loss 5.1536 (5.0651)	Prec@1 2.734 (4.154)	Prec@5 10.156 (14.883)
Epoch: [4][640/7045]	Time 0.303 (0.263)	Data 0.246 (0.200)	Loss 4.9805 (5.0646)	Prec@1 4.297 (4.153)	Prec@5 14.844 (14.885)
Epoch: [4][650/7045]	Time 0.254 (0.263)	Data 0.203 (0.200)	Loss 5.0087 (5.0646)	Prec@1 2.734 (4.141)	Prec@5 17.188 (14.867)
Epoch: [4][660/7045]	Time 0.283 (0.263)	Data 0.230 (0.200)	Loss 5.0199 (5.0639)	Prec@1 4.688 (4.148)	Prec@5 17.188 (14.886)
Epoch: [4][670/7045]	Time 0.102 (0.263)	Data 0.001 (0.200)	Loss 5.0650 (5.0628)	Prec@1 6.641 (4.149)	Prec@5 14.453 (14.890)
Epoch: [4][680/7045]	Time 0.401 (0.263)	Data 0.348 (0.200)	Loss 5.0791 (5.0619)	Prec@1 5.078 (4.155)	Prec@5 14.844 (14.918)
Epoch: [4][690/7045]	Time 0.101 (0.263)	Data 0.007 (0.200)	Loss 4.9056 (5.0605)	Prec@1 5.078 (4.164)	Prec@5 18.359 (14.948)
Epoch: [4][700/7045]	Time 0.579 (0.263)	Data 0.527 (0.200)	Loss 5.0186 (5.0593)	Prec@1 3.125 (4.179)	Prec@5 14.062 (14.979)
Epoch: [4][710/7045]	Time 0.384 (0.263)	Data 0.331 (0.201)	Loss 4.9749 (5.0591)	Prec@1 6.250 (4.188)	Prec@5 16.016 (14.991)
Epoch: [4][720/7045]	Time 0.640 (0.264)	Data 0.584 (0.201)	Loss 5.0236 (5.0589)	Prec@1 5.859 (4.189)	Prec@5 14.453 (14.993)
Epoch: [4][730/7045]	Time 0.108 (0.263)	Data 0.056 (0.201)	Loss 5.0366 (5.0592)	Prec@1 4.688 (4.186)	Prec@5 19.531 (14.994)
Epoch: [4][740/7045]	Time 0.535 (0.264)	Data 0.485 (0.201)	Loss 5.0036 (5.0582)	Prec@1 4.297 (4.196)	Prec@5 17.578 (15.014)
Epoch: [4][750/7045]	Time 0.279 (0.263)	Data 0.228 (0.201)	Loss 5.0733 (5.0583)	Prec@1 5.469 (4.198)	Prec@5 13.281 (15.002)
Epoch: [4][760/7045]	Time 0.431 (0.264)	Data 0.379 (0.201)	Loss 4.9555 (5.0575)	Prec@1 3.906 (4.197)	Prec@5 18.750 (15.020)
Epoch: [4][770/7045]	Time 0.325 (0.264)	Data 0.267 (0.201)	Loss 5.0450 (5.0570)	Prec@1 3.125 (4.204)	Prec@5 13.281 (15.028)
Epoch: [4][780/7045]	Time 0.426 (0.264)	Data 0.375 (0.201)	Loss 5.0908 (5.0566)	Prec@1 7.422 (4.203)	Prec@5 17.969 (15.032)
Epoch: [4][790/7045]	Time 0.395 (0.263)	Data 0.338 (0.201)	Loss 5.0839 (5.0566)	Prec@1 3.125 (4.202)	Prec@5 15.234 (15.027)
Epoch: [4][800/7045]	Time 0.623 (0.264)	Data 0.570 (0.201)	Loss 5.1834 (5.0560)	Prec@1 5.078 (4.207)	Prec@5 14.844 (15.046)
Epoch: [4][810/7045]	Time 0.101 (0.263)	Data 0.001 (0.201)	Loss 4.9986 (5.0563)	Prec@1 3.906 (4.205)	Prec@5 16.016 (15.048)
Epoch: [4][820/7045]	Time 0.152 (0.263)	Data 0.101 (0.200)	Loss 4.9850 (5.0566)	Prec@1 6.250 (4.209)	Prec@5 17.969 (15.057)
Epoch: [4][830/7045]	Time 0.201 (0.263)	Data 0.151 (0.200)	Loss 5.1408 (5.0571)	Prec@1 3.125 (4.211)	Prec@5 12.891 (15.052)
Epoch: [4][840/7045]	Time 0.443 (0.263)	Data 0.392 (0.200)	Loss 4.9521 (5.0575)	Prec@1 7.422 (4.205)	Prec@5 17.578 (15.043)
Epoch: [4][850/7045]	Time 0.160 (0.263)	Data 0.106 (0.200)	Loss 5.0722 (5.0574)	Prec@1 2.734 (4.205)	Prec@5 17.188 (15.054)
Epoch: [4][860/7045]	Time 0.549 (0.263)	Data 0.499 (0.200)	Loss 5.0418 (5.0572)	Prec@1 3.516 (4.201)	Prec@5 15.625 (15.051)
Epoch: [4][870/7045]	Time 0.101 (0.263)	Data 0.001 (0.200)	Loss 5.0897 (5.0568)	Prec@1 3.906 (4.200)	Prec@5 14.844 (15.055)
Epoch: [4][880/7045]	Time 0.447 (0.263)	Data 0.395 (0.200)	Loss 5.0685 (5.0561)	Prec@1 3.516 (4.206)	Prec@5 14.062 (15.059)
Epoch: [4][890/7045]	Time 0.145 (0.263)	Data 0.091 (0.199)	Loss 5.0460 (5.0559)	Prec@1 3.125 (4.205)	Prec@5 12.109 (15.060)
Epoch: [4][900/7045]	Time 0.523 (0.263)	Data 0.473 (0.200)	Loss 5.1397 (5.0556)	Prec@1 0.781 (4.200)	Prec@5 10.938 (15.059)
Epoch: [4][910/7045]	Time 0.163 (0.263)	Data 0.111 (0.200)	Loss 4.9644 (5.0554)	Prec@1 5.469 (4.212)	Prec@5 22.266 (15.065)
Epoch: [4][920/7045]	Time 0.402 (0.263)	Data 0.350 (0.200)	Loss 5.0322 (5.0547)	Prec@1 5.859 (4.212)	Prec@5 17.578 (15.081)
Epoch: [4][930/7045]	Time 0.257 (0.263)	Data 0.205 (0.200)	Loss 5.1475 (5.0546)	Prec@1 5.859 (4.219)	Prec@5 14.844 (15.083)
Epoch: [4][940/7045]	Time 0.603 (0.263)	Data 0.551 (0.200)	Loss 5.1240 (5.0545)	Prec@1 2.344 (4.218)	Prec@5 12.891 (15.081)
Epoch: [4][950/7045]	Time 0.102 (0.263)	Data 0.001 (0.200)	Loss 5.0914 (5.0550)	Prec@1 3.516 (4.214)	Prec@5 12.500 (15.071)
Epoch: [4][960/7045]	Time 0.531 (0.263)	Data 0.480 (0.200)	Loss 5.1496 (5.0558)	Prec@1 4.297 (4.218)	Prec@5 15.234 (15.064)
Epoch: [4][970/7045]	Time 0.173 (0.263)	Data 0.122 (0.199)	Loss 5.0625 (5.0559)	Prec@1 4.688 (4.212)	Prec@5 11.719 (15.051)
Epoch: [4][980/7045]	Time 0.187 (0.263)	Data 0.135 (0.200)	Loss 5.0904 (5.0561)	Prec@1 5.078 (4.216)	Prec@5 14.844 (15.050)
Epoch: [4][990/7045]	Time 0.106 (0.262)	Data 0.054 (0.199)	Loss 4.9418 (5.0557)	Prec@1 5.469 (4.213)	Prec@5 16.406 (15.052)
Epoch: [4][1000/7045]	Time 0.318 (0.263)	Data 0.266 (0.200)	Loss 5.1423 (5.0555)	Prec@1 2.344 (4.206)	Prec@5 10.938 (15.062)
Epoch: [4][1010/7045]	Time 0.102 (0.263)	Data 0.001 (0.199)	Loss 5.0685 (5.0559)	Prec@1 3.906 (4.209)	Prec@5 13.281 (15.052)
Epoch: [4][1020/7045]	Time 0.338 (0.263)	Data 0.286 (0.200)	Loss 5.1810 (5.0558)	Prec@1 3.125 (4.209)	Prec@5 11.328 (15.051)
Epoch: [4][1030/7045]	Time 0.102 (0.263)	Data 0.001 (0.199)	Loss 5.1224 (5.0554)	Prec@1 5.078 (4.210)	Prec@5 12.891 (15.055)
Epoch: [4][1040/7045]	Time 0.210 (0.263)	Data 0.148 (0.200)	Loss 5.0250 (5.0547)	Prec@1 5.469 (4.214)	Prec@5 15.625 (15.055)
Epoch: [4][1050/7045]	Time 0.342 (0.263)	Data 0.291 (0.200)	Loss 4.8798 (5.0541)	Prec@1 4.297 (4.212)	Prec@5 17.188 (15.055)
Epoch: [4][1060/7045]	Time 0.116 (0.262)	Data 0.065 (0.199)	Loss 4.9859 (5.0536)	Prec@1 3.516 (4.217)	Prec@5 16.797 (15.072)
Epoch: [4][1070/7045]	Time 0.589 (0.263)	Data 0.528 (0.200)	Loss 5.1228 (5.0539)	Prec@1 1.953 (4.210)	Prec@5 13.281 (15.063)
Epoch: [4][1080/7045]	Time 0.102 (0.262)	Data 0.001 (0.199)	Loss 5.0818 (5.0538)	Prec@1 4.688 (4.210)	Prec@5 17.578 (15.065)
Epoch: [4][1090/7045]	Time 0.552 (0.262)	Data 0.500 (0.199)	Loss 4.8925 (5.0535)	Prec@1 4.688 (4.209)	Prec@5 13.672 (15.065)
Epoch: [4][1100/7045]	Time 0.318 (0.262)	Data 0.266 (0.199)	Loss 5.1202 (5.0536)	Prec@1 2.344 (4.204)	Prec@5 10.938 (15.062)
Epoch: [4][1110/7045]	Time 0.399 (0.262)	Data 0.348 (0.199)	Loss 4.9093 (5.0537)	Prec@1 7.812 (4.213)	Prec@5 19.531 (15.062)
Epoch: [4][1120/7045]	Time 0.269 (0.262)	Data 0.216 (0.199)	Loss 4.9224 (5.0536)	Prec@1 3.906 (4.210)	Prec@5 16.016 (15.059)
Epoch: [4][1130/7045]	Time 0.415 (0.262)	Data 0.363 (0.199)	Loss 4.7977 (5.0528)	Prec@1 6.250 (4.216)	Prec@5 19.531 (15.069)
Epoch: [4][1140/7045]	Time 0.102 (0.262)	Data 0.001 (0.199)	Loss 5.2183 (5.0528)	Prec@1 4.688 (4.214)	Prec@5 14.844 (15.071)
Epoch: [4][1150/7045]	Time 0.500 (0.262)	Data 0.449 (0.199)	Loss 4.9718 (5.0527)	Prec@1 4.297 (4.214)	Prec@5 17.578 (15.076)
Epoch: [4][1160/7045]	Time 0.404 (0.262)	Data 0.352 (0.199)	Loss 4.9985 (5.0526)	Prec@1 1.953 (4.214)	Prec@5 14.844 (15.075)
Epoch: [4][1170/7045]	Time 0.366 (0.262)	Data 0.313 (0.199)	Loss 5.0320 (5.0519)	Prec@1 3.906 (4.221)	Prec@5 13.672 (15.084)
Epoch: [4][1180/7045]	Time 0.336 (0.262)	Data 0.276 (0.199)	Loss 5.1662 (5.0519)	Prec@1 2.344 (4.222)	Prec@5 12.109 (15.093)
Epoch: [4][1190/7045]	Time 0.243 (0.262)	Data 0.191 (0.199)	Loss 5.0918 (5.0517)	Prec@1 1.172 (4.223)	Prec@5 9.375 (15.091)
Epoch: [4][1200/7045]	Time 0.490 (0.262)	Data 0.439 (0.199)	Loss 5.1675 (5.0517)	Prec@1 2.734 (4.221)	Prec@5 10.547 (15.081)
Epoch: [4][1210/7045]	Time 0.102 (0.261)	Data 0.016 (0.199)	Loss 5.0287 (5.0520)	Prec@1 5.859 (4.224)	Prec@5 16.797 (15.080)
Epoch: [4][1220/7045]	Time 0.520 (0.262)	Data 0.469 (0.199)	Loss 4.9808 (5.0521)	Prec@1 4.297 (4.222)	Prec@5 18.359 (15.077)
Epoch: [4][1230/7045]	Time 0.332 (0.261)	Data 0.280 (0.199)	Loss 4.9926 (5.0523)	Prec@1 1.953 (4.222)	Prec@5 12.891 (15.072)
Epoch: [4][1240/7045]	Time 0.518 (0.262)	Data 0.467 (0.199)	Loss 5.1228 (5.0524)	Prec@1 5.859 (4.222)	Prec@5 17.188 (15.072)
Epoch: [4][1250/7045]	Time 0.293 (0.261)	Data 0.240 (0.199)	Loss 5.0048 (5.0523)	Prec@1 4.688 (4.224)	Prec@5 11.719 (15.075)
Epoch: [4][1260/7045]	Time 0.505 (0.262)	Data 0.453 (0.199)	Loss 5.0218 (5.0522)	Prec@1 3.125 (4.220)	Prec@5 16.016 (15.079)
Epoch: [4][1270/7045]	Time 0.343 (0.261)	Data 0.291 (0.199)	Loss 4.9314 (5.0520)	Prec@1 3.516 (4.221)	Prec@5 14.844 (15.078)
Epoch: [4][1280/7045]	Time 0.188 (0.261)	Data 0.136 (0.199)	Loss 4.9440 (5.0520)	Prec@1 4.688 (4.222)	Prec@5 14.844 (15.079)
Epoch: [4][1290/7045]	Time 0.625 (0.261)	Data 0.567 (0.199)	Loss 5.2539 (5.0520)	Prec@1 1.562 (4.224)	Prec@5 10.156 (15.082)
Epoch: [4][1300/7045]	Time 0.261 (0.261)	Data 0.204 (0.198)	Loss 4.9986 (5.0521)	Prec@1 3.906 (4.224)	Prec@5 15.234 (15.076)
Epoch: [4][1310/7045]	Time 0.188 (0.261)	Data 0.136 (0.198)	Loss 5.1147 (5.0521)	Prec@1 4.297 (4.223)	Prec@5 16.797 (15.074)
Epoch: [4][1320/7045]	Time 0.326 (0.261)	Data 0.274 (0.198)	Loss 5.1716 (5.0525)	Prec@1 3.125 (4.220)	Prec@5 13.281 (15.064)
Epoch: [4][1330/7045]	Time 0.197 (0.261)	Data 0.146 (0.199)	Loss 5.1229 (5.0523)	Prec@1 4.297 (4.223)	Prec@5 14.844 (15.062)
Epoch: [4][1340/7045]	Time 0.502 (0.261)	Data 0.450 (0.199)	Loss 5.0720 (5.0521)	Prec@1 3.906 (4.224)	Prec@5 18.750 (15.069)
Epoch: [4][1350/7045]	Time 0.110 (0.261)	Data 0.058 (0.199)	Loss 5.0809 (5.0523)	Prec@1 5.078 (4.223)	Prec@5 14.844 (15.059)
Epoch: [4][1360/7045]	Time 0.497 (0.261)	Data 0.445 (0.199)	Loss 5.0384 (5.0520)	Prec@1 3.906 (4.223)	Prec@5 13.281 (15.064)
Epoch: [4][1370/7045]	Time 0.170 (0.261)	Data 0.119 (0.199)	Loss 5.0221 (5.0519)	Prec@1 3.125 (4.219)	Prec@5 14.062 (15.061)
Epoch: [4][1380/7045]	Time 0.512 (0.261)	Data 0.460 (0.199)	Loss 5.1857 (5.0520)	Prec@1 3.125 (4.218)	Prec@5 15.234 (15.054)
Epoch: [4][1390/7045]	Time 0.109 (0.261)	Data 0.058 (0.199)	Loss 4.9405 (5.0518)	Prec@1 4.297 (4.221)	Prec@5 14.844 (15.060)
Epoch: [4][1400/7045]	Time 0.265 (0.261)	Data 0.212 (0.199)	Loss 4.9352 (5.0515)	Prec@1 5.859 (4.227)	Prec@5 19.141 (15.072)
Epoch: [4][1410/7045]	Time 0.153 (0.261)	Data 0.100 (0.199)	Loss 4.9663 (5.0511)	Prec@1 5.859 (4.229)	Prec@5 18.359 (15.082)
Epoch: [4][1420/7045]	Time 0.225 (0.261)	Data 0.172 (0.199)	Loss 5.0038 (5.0509)	Prec@1 7.031 (4.234)	Prec@5 19.922 (15.086)
Epoch: [4][1430/7045]	Time 0.468 (0.261)	Data 0.417 (0.199)	Loss 4.9193 (5.0507)	Prec@1 3.906 (4.230)	Prec@5 16.797 (15.086)
Epoch: [4][1440/7045]	Time 0.135 (0.261)	Data 0.084 (0.199)	Loss 5.0895 (5.0506)	Prec@1 3.906 (4.232)	Prec@5 13.672 (15.082)
Epoch: [4][1450/7045]	Time 0.540 (0.262)	Data 0.488 (0.199)	Loss 5.0073 (5.0506)	Prec@1 5.859 (4.230)	Prec@5 16.406 (15.083)
Epoch: [4][1460/7045]	Time 0.126 (0.261)	Data 0.074 (0.199)	Loss 5.0639 (5.0503)	Prec@1 7.031 (4.234)	Prec@5 17.578 (15.096)
Epoch: [4][1470/7045]	Time 0.215 (0.261)	Data 0.165 (0.199)	Loss 4.9980 (5.0505)	Prec@1 4.297 (4.233)	Prec@5 17.578 (15.089)
Epoch: [4][1480/7045]	Time 0.367 (0.261)	Data 0.315 (0.199)	Loss 4.9277 (5.0505)	Prec@1 4.297 (4.230)	Prec@5 17.578 (15.087)
Epoch: [4][1490/7045]	Time 0.473 (0.261)	Data 0.421 (0.199)	Loss 4.9415 (5.0500)	Prec@1 4.297 (4.238)	Prec@5 13.281 (15.099)
Epoch: [4][1500/7045]	Time 0.109 (0.261)	Data 0.058 (0.199)	Loss 4.9548 (5.0499)	Prec@1 4.688 (4.241)	Prec@5 15.625 (15.101)
Epoch: [4][1510/7045]	Time 0.577 (0.261)	Data 0.525 (0.199)	Loss 4.9001 (5.0497)	Prec@1 4.297 (4.240)	Prec@5 18.359 (15.096)
Epoch: [4][1520/7045]	Time 0.116 (0.261)	Data 0.064 (0.199)	Loss 5.0831 (5.0494)	Prec@1 4.297 (4.243)	Prec@5 15.625 (15.102)
Epoch: [4][1530/7045]	Time 0.113 (0.261)	Data 0.061 (0.199)	Loss 5.0436 (5.0493)	Prec@1 4.688 (4.245)	Prec@5 16.406 (15.110)
Epoch: [4][1540/7045]	Time 0.192 (0.261)	Data 0.141 (0.199)	Loss 5.1246 (5.0493)	Prec@1 1.562 (4.244)	Prec@5 9.766 (15.104)
Epoch: [4][1550/7045]	Time 0.367 (0.261)	Data 0.314 (0.199)	Loss 5.0697 (5.0495)	Prec@1 3.516 (4.241)	Prec@5 15.625 (15.100)
Epoch: [4][1560/7045]	Time 0.101 (0.261)	Data 0.012 (0.199)	Loss 5.1773 (5.0500)	Prec@1 3.906 (4.239)	Prec@5 12.500 (15.096)
Epoch: [4][1570/7045]	Time 0.550 (0.261)	Data 0.498 (0.199)	Loss 5.0528 (5.0498)	Prec@1 2.734 (4.238)	Prec@5 12.109 (15.098)
Epoch: [4][1580/7045]	Time 0.151 (0.261)	Data 0.100 (0.199)	Loss 5.1117 (5.0505)	Prec@1 3.125 (4.232)	Prec@5 13.672 (15.082)
Epoch: [4][1590/7045]	Time 0.376 (0.261)	Data 0.325 (0.199)	Loss 5.1022 (5.0507)	Prec@1 5.078 (4.234)	Prec@5 17.188 (15.076)
Epoch: [4][1600/7045]	Time 0.332 (0.261)	Data 0.281 (0.199)	Loss 4.9618 (5.0507)	Prec@1 4.688 (4.232)	Prec@5 15.625 (15.076)
Epoch: [4][1610/7045]	Time 0.536 (0.261)	Data 0.484 (0.199)	Loss 5.1108 (5.0505)	Prec@1 3.906 (4.232)	Prec@5 15.625 (15.075)
Epoch: [4][1620/7045]	Time 0.191 (0.261)	Data 0.141 (0.199)	Loss 5.0351 (5.0502)	Prec@1 1.172 (4.231)	Prec@5 16.406 (15.077)
Epoch: [4][1630/7045]	Time 0.101 (0.261)	Data 0.005 (0.199)	Loss 4.9860 (5.0501)	Prec@1 2.344 (4.233)	Prec@5 14.844 (15.073)
Epoch: [4][1640/7045]	Time 0.118 (0.261)	Data 0.059 (0.199)	Loss 4.8817 (5.0497)	Prec@1 9.766 (4.238)	Prec@5 19.922 (15.080)
Epoch: [4][1650/7045]	Time 0.663 (0.261)	Data 0.604 (0.199)	Loss 4.9801 (5.0495)	Prec@1 5.859 (4.238)	Prec@5 17.969 (15.084)
Epoch: [4][1660/7045]	Time 0.246 (0.261)	Data 0.195 (0.199)	Loss 4.9241 (5.0490)	Prec@1 5.859 (4.243)	Prec@5 16.016 (15.095)
Epoch: [4][1670/7045]	Time 0.511 (0.261)	Data 0.459 (0.199)	Loss 5.0556 (5.0493)	Prec@1 3.516 (4.240)	Prec@5 13.672 (15.088)
Epoch: [4][1680/7045]	Time 0.151 (0.261)	Data 0.100 (0.199)	Loss 5.0658 (5.0493)	Prec@1 4.688 (4.243)	Prec@5 15.234 (15.086)
Epoch: [4][1690/7045]	Time 0.102 (0.261)	Data 0.048 (0.199)	Loss 5.0142 (5.0490)	Prec@1 6.641 (4.244)	Prec@5 21.094 (15.094)
Epoch: [4][1700/7045]	Time 0.113 (0.261)	Data 0.061 (0.199)	Loss 4.9467 (5.0489)	Prec@1 4.297 (4.247)	Prec@5 16.016 (15.100)
Epoch: [4][1710/7045]	Time 0.243 (0.261)	Data 0.192 (0.199)	Loss 4.8948 (5.0491)	Prec@1 7.031 (4.246)	Prec@5 16.797 (15.098)
Epoch: [4][1720/7045]	Time 0.108 (0.261)	Data 0.005 (0.199)	Loss 4.9108 (5.0486)	Prec@1 5.078 (4.252)	Prec@5 19.141 (15.107)
Epoch: [4][1730/7045]	Time 0.467 (0.261)	Data 0.414 (0.199)	Loss 5.0904 (5.0483)	Prec@1 5.859 (4.251)	Prec@5 15.234 (15.113)
Epoch: [4][1740/7045]	Time 0.185 (0.261)	Data 0.134 (0.199)	Loss 5.0167 (5.0482)	Prec@1 3.125 (4.254)	Prec@5 17.578 (15.120)
Epoch: [4][1750/7045]	Time 0.500 (0.261)	Data 0.443 (0.199)	Loss 5.1567 (5.0480)	Prec@1 3.906 (4.257)	Prec@5 14.453 (15.121)
Epoch: [4][1760/7045]	Time 0.317 (0.261)	Data 0.265 (0.199)	Loss 5.0578 (5.0478)	Prec@1 3.906 (4.260)	Prec@5 13.281 (15.125)
Epoch: [4][1770/7045]	Time 0.181 (0.261)	Data 0.129 (0.199)	Loss 4.9455 (5.0476)	Prec@1 2.734 (4.262)	Prec@5 14.453 (15.127)
Epoch: [4][1780/7045]	Time 0.449 (0.261)	Data 0.398 (0.199)	Loss 5.0992 (5.0473)	Prec@1 2.344 (4.263)	Prec@5 14.453 (15.128)
Epoch: [4][1790/7045]	Time 0.141 (0.261)	Data 0.090 (0.199)	Loss 4.9110 (5.0472)	Prec@1 7.812 (4.267)	Prec@5 20.703 (15.134)
Epoch: [4][1800/7045]	Time 0.542 (0.261)	Data 0.491 (0.199)	Loss 4.8593 (5.0470)	Prec@1 5.859 (4.268)	Prec@5 18.359 (15.140)
Epoch: [4][1810/7045]	Time 0.174 (0.261)	Data 0.123 (0.199)	Loss 4.9481 (5.0467)	Prec@1 4.297 (4.266)	Prec@5 15.625 (15.148)
Epoch: [4][1820/7045]	Time 0.429 (0.261)	Data 0.377 (0.199)	Loss 5.1102 (5.0467)	Prec@1 5.078 (4.265)	Prec@5 17.969 (15.149)
Epoch: [4][1830/7045]	Time 0.112 (0.261)	Data 0.059 (0.199)	Loss 4.9553 (5.0463)	Prec@1 5.469 (4.273)	Prec@5 16.797 (15.158)
Epoch: [4][1840/7045]	Time 0.381 (0.261)	Data 0.330 (0.199)	Loss 5.1708 (5.0462)	Prec@1 4.688 (4.273)	Prec@5 11.328 (15.155)
Epoch: [4][1850/7045]	Time 0.120 (0.261)	Data 0.063 (0.199)	Loss 5.0540 (5.0462)	Prec@1 3.906 (4.272)	Prec@5 15.234 (15.151)
Epoch: [4][1860/7045]	Time 0.529 (0.261)	Data 0.478 (0.199)	Loss 5.0622 (5.0459)	Prec@1 3.516 (4.272)	Prec@5 10.547 (15.152)
Epoch: [4][1870/7045]	Time 0.109 (0.260)	Data 0.001 (0.199)	Loss 5.0217 (5.0457)	Prec@1 4.688 (4.271)	Prec@5 15.625 (15.158)
Epoch: [4][1880/7045]	Time 0.473 (0.261)	Data 0.420 (0.199)	Loss 5.0911 (5.0456)	Prec@1 3.125 (4.275)	Prec@5 14.062 (15.165)
Epoch: [4][1890/7045]	Time 0.285 (0.261)	Data 0.234 (0.199)	Loss 5.0861 (5.0456)	Prec@1 3.516 (4.276)	Prec@5 14.062 (15.167)
Epoch: [4][1900/7045]	Time 0.334 (0.261)	Data 0.282 (0.199)	Loss 5.0926 (5.0455)	Prec@1 3.906 (4.273)	Prec@5 14.453 (15.164)
Epoch: [4][1910/7045]	Time 0.108 (0.261)	Data 0.001 (0.199)	Loss 5.0544 (5.0454)	Prec@1 4.688 (4.275)	Prec@5 18.750 (15.164)
Epoch: [4][1920/7045]	Time 0.235 (0.261)	Data 0.183 (0.199)	Loss 5.1645 (5.0455)	Prec@1 4.297 (4.278)	Prec@5 12.500 (15.167)
Epoch: [4][1930/7045]	Time 0.466 (0.261)	Data 0.414 (0.199)	Loss 5.0055 (5.0457)	Prec@1 4.688 (4.275)	Prec@5 15.625 (15.166)
Epoch: [4][1940/7045]	Time 0.234 (0.261)	Data 0.182 (0.199)	Loss 5.0353 (5.0459)	Prec@1 3.516 (4.274)	Prec@5 16.406 (15.159)
Epoch: [4][1950/7045]	Time 0.479 (0.261)	Data 0.427 (0.199)	Loss 5.1631 (5.0462)	Prec@1 3.516 (4.276)	Prec@5 12.891 (15.152)
Epoch: [4][1960/7045]	Time 0.198 (0.261)	Data 0.144 (0.199)	Loss 5.0355 (5.0464)	Prec@1 3.125 (4.274)	Prec@5 14.844 (15.148)
Epoch: [4][1970/7045]	Time 0.101 (0.261)	Data 0.001 (0.199)	Loss 5.0978 (5.0464)	Prec@1 5.078 (4.273)	Prec@5 14.453 (15.145)
Epoch: [4][1980/7045]	Time 0.107 (0.260)	Data 0.055 (0.199)	Loss 4.8697 (5.0460)	Prec@1 5.859 (4.276)	Prec@5 14.844 (15.148)
Epoch: [4][1990/7045]	Time 0.101 (0.261)	Data 0.044 (0.199)	Loss 5.0207 (5.0458)	Prec@1 3.125 (4.272)	Prec@5 16.016 (15.149)
Epoch: [4][2000/7045]	Time 0.205 (0.260)	Data 0.153 (0.199)	Loss 4.9140 (5.0456)	Prec@1 7.422 (4.275)	Prec@5 18.359 (15.152)
Epoch: [4][2010/7045]	Time 0.102 (0.260)	Data 0.001 (0.199)	Loss 5.0255 (5.0455)	Prec@1 3.906 (4.275)	Prec@5 14.062 (15.147)
Epoch: [4][2020/7045]	Time 0.621 (0.261)	Data 0.569 (0.199)	Loss 5.1431 (5.0457)	Prec@1 3.516 (4.275)	Prec@5 12.891 (15.145)
Epoch: [4][2030/7045]	Time 0.119 (0.260)	Data 0.068 (0.199)	Loss 5.1502 (5.0459)	Prec@1 2.734 (4.274)	Prec@5 11.328 (15.136)
Epoch: [4][2040/7045]	Time 0.397 (0.260)	Data 0.345 (0.199)	Loss 5.0609 (5.0459)	Prec@1 4.297 (4.274)	Prec@5 16.797 (15.141)
Epoch: [4][2050/7045]	Time 0.293 (0.260)	Data 0.241 (0.199)	Loss 4.9055 (5.0457)	Prec@1 3.906 (4.272)	Prec@5 15.625 (15.143)
Epoch: [4][2060/7045]	Time 0.143 (0.260)	Data 0.092 (0.199)	Loss 4.9433 (5.0457)	Prec@1 6.250 (4.271)	Prec@5 17.578 (15.143)
Epoch: [4][2070/7045]	Time 0.322 (0.260)	Data 0.270 (0.199)	Loss 5.1738 (5.0458)	Prec@1 2.734 (4.270)	Prec@5 13.281 (15.139)
Epoch: [4][2080/7045]	Time 0.265 (0.260)	Data 0.214 (0.199)	Loss 5.0815 (5.0456)	Prec@1 1.953 (4.273)	Prec@5 14.062 (15.143)
Epoch: [4][2090/7045]	Time 0.101 (0.260)	Data 0.005 (0.199)	Loss 5.1765 (5.0453)	Prec@1 1.562 (4.272)	Prec@5 16.406 (15.147)
Epoch: [4][2100/7045]	Time 0.309 (0.260)	Data 0.257 (0.199)	Loss 5.0626 (5.0452)	Prec@1 2.734 (4.272)	Prec@5 16.406 (15.148)
Epoch: [4][2110/7045]	Time 0.107 (0.260)	Data 0.055 (0.199)	Loss 5.2415 (5.0450)	Prec@1 3.125 (4.271)	Prec@5 16.016 (15.156)
Epoch: [4][2120/7045]	Time 0.656 (0.260)	Data 0.597 (0.199)	Loss 5.0547 (5.0449)	Prec@1 3.516 (4.273)	Prec@5 17.969 (15.158)
Epoch: [4][2130/7045]	Time 0.150 (0.260)	Data 0.091 (0.199)	Loss 5.0828 (5.0451)	Prec@1 4.297 (4.275)	Prec@5 11.328 (15.151)
Epoch: [4][2140/7045]	Time 0.717 (0.260)	Data 0.665 (0.199)	Loss 4.9363 (5.0451)	Prec@1 4.688 (4.273)	Prec@5 15.625 (15.150)
Epoch: [4][2150/7045]	Time 0.145 (0.260)	Data 0.093 (0.198)	Loss 4.9565 (5.0449)	Prec@1 3.906 (4.274)	Prec@5 14.844 (15.155)
Epoch: [4][2160/7045]	Time 0.616 (0.260)	Data 0.566 (0.199)	Loss 4.9057 (5.0447)	Prec@1 5.859 (4.276)	Prec@5 16.406 (15.159)
Epoch: [4][2170/7045]	Time 0.151 (0.260)	Data 0.099 (0.198)	Loss 5.0027 (5.0443)	Prec@1 3.516 (4.279)	Prec@5 12.891 (15.163)
Epoch: [4][2180/7045]	Time 0.434 (0.260)	Data 0.381 (0.198)	Loss 5.1269 (5.0441)	Prec@1 5.078 (4.280)	Prec@5 12.109 (15.164)
Epoch: [4][2190/7045]	Time 0.332 (0.260)	Data 0.281 (0.198)	Loss 4.9797 (5.0440)	Prec@1 5.078 (4.283)	Prec@5 14.844 (15.167)
Epoch: [4][2200/7045]	Time 0.126 (0.260)	Data 0.074 (0.198)	Loss 5.1262 (5.0440)	Prec@1 4.297 (4.284)	Prec@5 14.844 (15.164)
Epoch: [4][2210/7045]	Time 0.273 (0.260)	Data 0.221 (0.198)	Loss 4.9483 (5.0439)	Prec@1 4.297 (4.283)	Prec@5 16.406 (15.159)
Epoch: [4][2220/7045]	Time 0.101 (0.260)	Data 0.001 (0.198)	Loss 5.0998 (5.0439)	Prec@1 4.688 (4.284)	Prec@5 15.234 (15.156)
Epoch: [4][2230/7045]	Time 0.123 (0.260)	Data 0.071 (0.198)	Loss 5.1445 (5.0442)	Prec@1 2.344 (4.280)	Prec@5 12.500 (15.147)
Epoch: [4][2240/7045]	Time 0.108 (0.260)	Data 0.057 (0.198)	Loss 4.9915 (5.0442)	Prec@1 4.297 (4.280)	Prec@5 14.844 (15.150)
Epoch: [4][2250/7045]	Time 0.103 (0.260)	Data 0.050 (0.198)	Loss 4.9491 (5.0443)	Prec@1 5.078 (4.279)	Prec@5 19.531 (15.142)
Epoch: [4][2260/7045]	Time 0.146 (0.260)	Data 0.086 (0.198)	Loss 5.1518 (5.0442)	Prec@1 3.516 (4.278)	Prec@5 14.453 (15.141)
Epoch: [4][2270/7045]	Time 0.235 (0.260)	Data 0.184 (0.198)	Loss 5.0782 (5.0444)	Prec@1 4.297 (4.278)	Prec@5 18.359 (15.141)
Epoch: [4][2280/7045]	Time 0.102 (0.260)	Data 0.001 (0.198)	Loss 5.0232 (5.0443)	Prec@1 4.297 (4.279)	Prec@5 16.016 (15.147)
Epoch: [4][2290/7045]	Time 0.101 (0.260)	Data 0.046 (0.198)	Loss 4.9654 (5.0442)	Prec@1 5.859 (4.282)	Prec@5 15.234 (15.146)
Epoch: [4][2300/7045]	Time 0.105 (0.260)	Data 0.051 (0.198)	Loss 5.0750 (5.0440)	Prec@1 3.125 (4.282)	Prec@5 14.844 (15.153)
Epoch: [4][2310/7045]	Time 0.117 (0.260)	Data 0.066 (0.198)	Loss 4.8904 (5.0439)	Prec@1 6.641 (4.282)	Prec@5 19.141 (15.154)
Epoch: [4][2320/7045]	Time 0.103 (0.260)	Data 0.001 (0.198)	Loss 4.9593 (5.0439)	Prec@1 5.078 (4.284)	Prec@5 18.750 (15.153)
Epoch: [4][2330/7045]	Time 0.166 (0.260)	Data 0.114 (0.198)	Loss 5.1210 (5.0437)	Prec@1 4.688 (4.286)	Prec@5 12.109 (15.155)
Epoch: [4][2340/7045]	Time 0.225 (0.260)	Data 0.175 (0.198)	Loss 5.0365 (5.0436)	Prec@1 2.734 (4.285)	Prec@5 13.281 (15.153)
Epoch: [4][2350/7045]	Time 0.208 (0.260)	Data 0.157 (0.198)	Loss 5.2336 (5.0436)	Prec@1 3.516 (4.288)	Prec@5 11.328 (15.153)
Epoch: [4][2360/7045]	Time 0.463 (0.260)	Data 0.402 (0.198)	Loss 5.1122 (5.0438)	Prec@1 4.688 (4.286)	Prec@5 14.062 (15.149)
Epoch: [4][2370/7045]	Time 0.142 (0.260)	Data 0.090 (0.198)	Loss 5.0661 (5.0439)	Prec@1 3.516 (4.287)	Prec@5 12.891 (15.145)
Epoch: [4][2380/7045]	Time 0.358 (0.260)	Data 0.306 (0.198)	Loss 5.0507 (5.0437)	Prec@1 5.078 (4.287)	Prec@5 16.406 (15.149)
Epoch: [4][2390/7045]	Time 0.103 (0.260)	Data 0.051 (0.198)	Loss 5.0145 (5.0437)	Prec@1 3.516 (4.287)	Prec@5 16.797 (15.150)
Epoch: [4][2400/7045]	Time 0.101 (0.260)	Data 0.050 (0.198)	Loss 4.9757 (5.0436)	Prec@1 3.906 (4.289)	Prec@5 17.969 (15.156)
Epoch: [4][2410/7045]	Time 0.102 (0.260)	Data 0.001 (0.198)	Loss 4.9299 (5.0435)	Prec@1 4.297 (4.288)	Prec@5 14.844 (15.157)
Epoch: [4][2420/7045]	Time 0.101 (0.260)	Data 0.007 (0.198)	Loss 5.0650 (5.0434)	Prec@1 3.125 (4.287)	Prec@5 10.156 (15.158)
Epoch: [4][2430/7045]	Time 0.102 (0.260)	Data 0.001 (0.198)	Loss 4.9882 (5.0431)	Prec@1 3.906 (4.290)	Prec@5 15.625 (15.160)
Epoch: [4][2440/7045]	Time 0.114 (0.260)	Data 0.061 (0.198)	Loss 5.0051 (5.0429)	Prec@1 5.859 (4.293)	Prec@5 16.797 (15.164)
Epoch: [4][2450/7045]	Time 0.179 (0.260)	Data 0.127 (0.198)	Loss 5.0147 (5.0430)	Prec@1 3.906 (4.295)	Prec@5 14.062 (15.163)
Epoch: [4][2460/7045]	Time 0.215 (0.260)	Data 0.163 (0.198)	Loss 5.0048 (5.0428)	Prec@1 3.516 (4.294)	Prec@5 17.578 (15.165)
Epoch: [4][2470/7045]	Time 0.310 (0.260)	Data 0.259 (0.198)	Loss 4.9763 (5.0427)	Prec@1 4.297 (4.297)	Prec@5 16.016 (15.170)
Epoch: [4][2480/7045]	Time 0.102 (0.259)	Data 0.001 (0.198)	Loss 4.9531 (5.0427)	Prec@1 5.078 (4.302)	Prec@5 21.094 (15.178)
Epoch: [4][2490/7045]	Time 0.395 (0.260)	Data 0.344 (0.198)	Loss 5.2098 (5.0429)	Prec@1 3.125 (4.299)	Prec@5 12.500 (15.170)
Epoch: [4][2500/7045]	Time 0.103 (0.259)	Data 0.001 (0.198)	Loss 5.1025 (5.0434)	Prec@1 3.125 (4.298)	Prec@5 13.281 (15.162)
Epoch: [4][2510/7045]	Time 0.416 (0.260)	Data 0.366 (0.198)	Loss 5.0387 (5.0434)	Prec@1 5.078 (4.297)	Prec@5 16.406 (15.160)
Epoch: [4][2520/7045]	Time 0.146 (0.259)	Data 0.095 (0.198)	Loss 4.9827 (5.0434)	Prec@1 5.859 (4.297)	Prec@5 17.188 (15.162)
Epoch: [4][2530/7045]	Time 0.206 (0.259)	Data 0.154 (0.198)	Loss 5.1951 (5.0438)	Prec@1 3.125 (4.296)	Prec@5 14.062 (15.158)
Epoch: [4][2540/7045]	Time 0.481 (0.259)	Data 0.430 (0.198)	Loss 5.0401 (5.0437)	Prec@1 5.078 (4.300)	Prec@5 15.234 (15.162)
Epoch: [4][2550/7045]	Time 0.102 (0.259)	Data 0.001 (0.198)	Loss 5.0485 (5.0434)	Prec@1 5.469 (4.303)	Prec@5 17.969 (15.165)
Epoch: [4][2560/7045]	Time 0.668 (0.260)	Data 0.617 (0.198)	Loss 5.0920 (5.0435)	Prec@1 3.125 (4.305)	Prec@5 10.938 (15.163)
Epoch: [4][2570/7045]	Time 0.103 (0.259)	Data 0.012 (0.198)	Loss 5.0021 (5.0435)	Prec@1 5.859 (4.306)	Prec@5 16.016 (15.164)
Epoch: [4][2580/7045]	Time 0.842 (0.260)	Data 0.783 (0.198)	Loss 4.9196 (5.0435)	Prec@1 6.250 (4.307)	Prec@5 17.188 (15.166)
Epoch: [4][2590/7045]	Time 0.169 (0.259)	Data 0.118 (0.197)	Loss 4.9486 (5.0434)	Prec@1 3.125 (4.305)	Prec@5 16.016 (15.167)
Epoch: [4][2600/7045]	Time 0.613 (0.260)	Data 0.562 (0.198)	Loss 5.1357 (5.0436)	Prec@1 4.297 (4.305)	Prec@5 14.453 (15.166)
Epoch: [4][2610/7045]	Time 0.102 (0.260)	Data 0.001 (0.197)	Loss 4.9845 (5.0436)	Prec@1 5.078 (4.305)	Prec@5 15.625 (15.168)
Epoch: [4][2620/7045]	Time 0.381 (0.260)	Data 0.323 (0.197)	Loss 5.0190 (5.0433)	Prec@1 2.344 (4.307)	Prec@5 16.016 (15.176)
Epoch: [4][2630/7045]	Time 0.245 (0.260)	Data 0.194 (0.197)	Loss 4.9109 (5.0429)	Prec@1 4.688 (4.309)	Prec@5 16.016 (15.182)
Epoch: [4][2640/7045]	Time 0.437 (0.260)	Data 0.386 (0.198)	Loss 5.0427 (5.0428)	Prec@1 3.516 (4.311)	Prec@5 15.625 (15.185)
Epoch: [4][2650/7045]	Time 0.109 (0.260)	Data 0.001 (0.197)	Loss 4.7952 (5.0426)	Prec@1 4.688 (4.311)	Prec@5 20.312 (15.189)
Epoch: [4][2660/7045]	Time 0.218 (0.259)	Data 0.167 (0.197)	Loss 4.9023 (5.0425)	Prec@1 6.250 (4.312)	Prec@5 17.578 (15.196)
Epoch: [4][2670/7045]	Time 0.382 (0.260)	Data 0.330 (0.198)	Loss 5.0517 (5.0426)	Prec@1 3.516 (4.312)	Prec@5 14.453 (15.194)
Epoch: [4][2680/7045]	Time 0.104 (0.259)	Data 0.051 (0.197)	Loss 5.0121 (5.0426)	Prec@1 3.125 (4.312)	Prec@5 15.625 (15.195)
Epoch: [4][2690/7045]	Time 0.390 (0.260)	Data 0.339 (0.198)	Loss 5.0233 (5.0428)	Prec@1 3.516 (4.311)	Prec@5 12.891 (15.190)
Epoch: [4][2700/7045]	Time 0.100 (0.259)	Data 0.001 (0.197)	Loss 4.8858 (5.0425)	Prec@1 6.641 (4.314)	Prec@5 19.531 (15.196)
Epoch: [4][2710/7045]	Time 0.258 (0.260)	Data 0.207 (0.197)	Loss 4.8835 (5.0423)	Prec@1 7.031 (4.319)	Prec@5 19.531 (15.200)
Epoch: [4][2720/7045]	Time 0.208 (0.259)	Data 0.158 (0.197)	Loss 4.9824 (5.0422)	Prec@1 3.125 (4.318)	Prec@5 17.969 (15.199)
Epoch: [4][2730/7045]	Time 0.110 (0.259)	Data 0.001 (0.197)	Loss 5.1242 (5.0423)	Prec@1 3.906 (4.318)	Prec@5 16.406 (15.199)
Epoch: [4][2740/7045]	Time 0.342 (0.260)	Data 0.290 (0.197)	Loss 4.9515 (5.0421)	Prec@1 4.297 (4.319)	Prec@5 18.359 (15.200)
Epoch: [4][2750/7045]	Time 0.101 (0.259)	Data 0.008 (0.197)	Loss 5.0420 (5.0420)	Prec@1 5.078 (4.320)	Prec@5 14.453 (15.200)
Epoch: [4][2760/7045]	Time 0.100 (0.259)	Data 0.001 (0.197)	Loss 5.0766 (5.0422)	Prec@1 4.688 (4.319)	Prec@5 14.453 (15.198)
Epoch: [4][2770/7045]	Time 0.428 (0.259)	Data 0.376 (0.197)	Loss 5.0630 (5.0422)	Prec@1 6.250 (4.320)	Prec@5 14.844 (15.196)
Epoch: [4][2780/7045]	Time 0.102 (0.259)	Data 0.001 (0.197)	Loss 5.1376 (5.0424)	Prec@1 2.734 (4.319)	Prec@5 12.109 (15.192)
Epoch: [4][2790/7045]	Time 0.635 (0.259)	Data 0.574 (0.197)	Loss 5.1918 (5.0426)	Prec@1 3.906 (4.317)	Prec@5 13.281 (15.189)
Epoch: [4][2800/7045]	Time 0.100 (0.259)	Data 0.001 (0.197)	Loss 5.1374 (5.0426)	Prec@1 3.516 (4.317)	Prec@5 16.406 (15.190)
Epoch: [4][2810/7045]	Time 0.617 (0.259)	Data 0.566 (0.197)	Loss 4.9068 (5.0427)	Prec@1 5.859 (4.318)	Prec@5 17.188 (15.193)
Epoch: [4][2820/7045]	Time 0.101 (0.259)	Data 0.005 (0.197)	Loss 5.1483 (5.0427)	Prec@1 4.297 (4.319)	Prec@5 15.625 (15.197)
Epoch: [4][2830/7045]	Time 0.660 (0.259)	Data 0.600 (0.197)	Loss 5.0892 (5.0428)	Prec@1 3.516 (4.321)	Prec@5 17.578 (15.197)
Epoch: [4][2840/7045]	Time 0.102 (0.259)	Data 0.001 (0.197)	Loss 4.9588 (5.0428)	Prec@1 5.078 (4.320)	Prec@5 14.453 (15.197)
Epoch: [4][2850/7045]	Time 0.677 (0.259)	Data 0.626 (0.197)	Loss 5.0977 (5.0427)	Prec@1 5.469 (4.322)	Prec@5 12.109 (15.195)
Epoch: [4][2860/7045]	Time 0.102 (0.259)	Data 0.001 (0.197)	Loss 5.1060 (5.0427)	Prec@1 3.906 (4.321)	Prec@5 14.453 (15.197)
Epoch: [4][2870/7045]	Time 0.456 (0.259)	Data 0.404 (0.197)	Loss 5.0697 (5.0426)	Prec@1 3.906 (4.326)	Prec@5 16.016 (15.202)
Epoch: [4][2880/7045]	Time 0.100 (0.259)	Data 0.001 (0.197)	Loss 4.9748 (5.0428)	Prec@1 4.688 (4.326)	Prec@5 19.141 (15.203)
Epoch: [4][2890/7045]	Time 0.480 (0.259)	Data 0.422 (0.197)	Loss 4.9339 (5.0428)	Prec@1 5.078 (4.328)	Prec@5 17.578 (15.203)
Epoch: [4][2900/7045]	Time 0.196 (0.259)	Data 0.144 (0.197)	Loss 5.0154 (5.0431)	Prec@1 5.078 (4.326)	Prec@5 15.625 (15.198)
Epoch: [4][2910/7045]	Time 0.456 (0.259)	Data 0.404 (0.197)	Loss 4.9855 (5.0432)	Prec@1 4.297 (4.325)	Prec@5 16.797 (15.194)
Epoch: [4][2920/7045]	Time 0.107 (0.259)	Data 0.054 (0.197)	Loss 5.0031 (5.0434)	Prec@1 5.078 (4.323)	Prec@5 13.672 (15.188)
Epoch: [4][2930/7045]	Time 0.327 (0.259)	Data 0.278 (0.197)	Loss 5.1147 (5.0433)	Prec@1 3.516 (4.324)	Prec@5 14.062 (15.188)
Epoch: [4][2940/7045]	Time 0.102 (0.259)	Data 0.001 (0.197)	Loss 5.1778 (5.0433)	Prec@1 3.906 (4.325)	Prec@5 12.109 (15.189)
Epoch: [4][2950/7045]	Time 0.102 (0.259)	Data 0.004 (0.197)	Loss 4.9732 (5.0434)	Prec@1 5.469 (4.327)	Prec@5 16.016 (15.190)
Epoch: [4][2960/7045]	Time 0.350 (0.259)	Data 0.299 (0.197)	Loss 5.0294 (5.0433)	Prec@1 3.516 (4.327)	Prec@5 15.625 (15.193)
Epoch: [4][2970/7045]	Time 0.138 (0.259)	Data 0.087 (0.197)	Loss 5.0313 (5.0432)	Prec@1 4.297 (4.328)	Prec@5 15.234 (15.197)
Epoch: [4][2980/7045]	Time 0.643 (0.259)	Data 0.591 (0.197)	Loss 5.0162 (5.0431)	Prec@1 4.297 (4.328)	Prec@5 16.406 (15.195)
Epoch: [4][2990/7045]	Time 0.109 (0.259)	Data 0.001 (0.197)	Loss 4.9935 (5.0431)	Prec@1 3.125 (4.327)	Prec@5 15.234 (15.196)
Epoch: [4][3000/7045]	Time 0.663 (0.259)	Data 0.600 (0.197)	Loss 4.9538 (5.0429)	Prec@1 5.859 (4.328)	Prec@5 17.578 (15.200)
Epoch: [4][3010/7045]	Time 0.102 (0.259)	Data 0.001 (0.197)	Loss 5.1754 (5.0428)	Prec@1 4.297 (4.329)	Prec@5 17.578 (15.203)
Epoch: [4][3020/7045]	Time 0.464 (0.259)	Data 0.412 (0.197)	Loss 5.2321 (5.0429)	Prec@1 3.125 (4.328)	Prec@5 14.844 (15.200)
Epoch: [4][3030/7045]	Time 0.109 (0.259)	Data 0.001 (0.197)	Loss 5.0810 (5.0430)	Prec@1 3.516 (4.328)	Prec@5 14.844 (15.199)
Epoch: [4][3040/7045]	Time 0.288 (0.259)	Data 0.235 (0.197)	Loss 5.0422 (5.0429)	Prec@1 6.250 (4.330)	Prec@5 17.578 (15.204)
Epoch: [4][3050/7045]	Time 0.152 (0.259)	Data 0.100 (0.197)	Loss 5.1051 (5.0432)	Prec@1 3.906 (4.329)	Prec@5 14.844 (15.200)
Epoch: [4][3060/7045]	Time 0.149 (0.259)	Data 0.097 (0.197)	Loss 5.1551 (5.0434)	Prec@1 3.906 (4.328)	Prec@5 13.672 (15.199)
Epoch: [4][3070/7045]	Time 0.206 (0.259)	Data 0.155 (0.197)	Loss 5.0194 (5.0434)	Prec@1 3.906 (4.329)	Prec@5 15.625 (15.199)
Epoch: [4][3080/7045]	Time 0.324 (0.259)	Data 0.274 (0.197)	Loss 5.1161 (5.0434)	Prec@1 3.125 (4.328)	Prec@5 11.719 (15.200)
Epoch: [4][3090/7045]	Time 0.169 (0.259)	Data 0.118 (0.197)	Loss 4.9973 (5.0435)	Prec@1 3.516 (4.325)	Prec@5 14.062 (15.196)
Epoch: [4][3100/7045]	Time 0.113 (0.259)	Data 0.060 (0.197)	Loss 5.1635 (5.0435)	Prec@1 1.953 (4.323)	Prec@5 12.500 (15.195)
Epoch: [4][3110/7045]	Time 0.304 (0.259)	Data 0.252 (0.197)	Loss 5.0742 (5.0435)	Prec@1 4.297 (4.322)	Prec@5 18.359 (15.200)
Epoch: [4][3120/7045]	Time 0.101 (0.259)	Data 0.001 (0.197)	Loss 5.0729 (5.0434)	Prec@1 4.297 (4.324)	Prec@5 13.281 (15.202)
Epoch: [4][3130/7045]	Time 0.101 (0.259)	Data 0.045 (0.197)	Loss 5.0799 (5.0435)	Prec@1 3.906 (4.324)	Prec@5 14.844 (15.203)
Epoch: [4][3140/7045]	Time 0.797 (0.259)	Data 0.745 (0.197)	Loss 4.8992 (5.0433)	Prec@1 8.203 (4.328)	Prec@5 19.141 (15.210)
Epoch: [4][3150/7045]	Time 0.147 (0.259)	Data 0.095 (0.197)	Loss 5.1657 (5.0431)	Prec@1 3.516 (4.331)	Prec@5 12.891 (15.213)
Epoch: [4][3160/7045]	Time 0.729 (0.259)	Data 0.669 (0.197)	Loss 4.9698 (5.0430)	Prec@1 3.516 (4.331)	Prec@5 16.406 (15.212)
Epoch: [4][3170/7045]	Time 0.365 (0.259)	Data 0.314 (0.197)	Loss 5.0451 (5.0432)	Prec@1 5.078 (4.331)	Prec@5 14.844 (15.210)
Epoch: [4][3180/7045]	Time 0.185 (0.259)	Data 0.129 (0.197)	Loss 4.9623 (5.0433)	Prec@1 3.906 (4.327)	Prec@5 16.797 (15.206)
Epoch: [4][3190/7045]	Time 0.324 (0.259)	Data 0.268 (0.197)	Loss 5.1077 (5.0433)	Prec@1 4.688 (4.326)	Prec@5 15.234 (15.205)
Epoch: [4][3200/7045]	Time 0.102 (0.259)	Data 0.050 (0.197)	Loss 5.1154 (5.0433)	Prec@1 3.516 (4.324)	Prec@5 12.109 (15.203)
Epoch: [4][3210/7045]	Time 0.158 (0.259)	Data 0.106 (0.197)	Loss 5.0749 (5.0434)	Prec@1 3.516 (4.325)	Prec@5 14.844 (15.202)
Epoch: [4][3220/7045]	Time 0.278 (0.259)	Data 0.226 (0.197)	Loss 5.1140 (5.0435)	Prec@1 4.297 (4.322)	Prec@5 15.625 (15.199)
Epoch: [4][3230/7045]	Time 0.287 (0.259)	Data 0.236 (0.197)	Loss 5.0063 (5.0436)	Prec@1 5.469 (4.321)	Prec@5 14.844 (15.199)
Epoch: [4][3240/7045]	Time 0.225 (0.259)	Data 0.173 (0.197)	Loss 5.0364 (5.0433)	Prec@1 4.688 (4.323)	Prec@5 14.844 (15.203)
Epoch: [4][3250/7045]	Time 0.109 (0.259)	Data 0.057 (0.197)	Loss 5.0798 (5.0434)	Prec@1 4.688 (4.323)	Prec@5 16.016 (15.202)
Epoch: [4][3260/7045]	Time 0.120 (0.259)	Data 0.069 (0.197)	Loss 4.8618 (5.0432)	Prec@1 4.297 (4.324)	Prec@5 18.359 (15.204)
Epoch: [4][3270/7045]	Time 0.102 (0.259)	Data 0.007 (0.197)	Loss 5.0960 (5.0431)	Prec@1 2.734 (4.323)	Prec@5 11.328 (15.202)
Epoch: [4][3280/7045]	Time 0.108 (0.259)	Data 0.056 (0.197)	Loss 5.1309 (5.0432)	Prec@1 3.516 (4.321)	Prec@5 17.188 (15.204)
Epoch: [4][3290/7045]	Time 0.179 (0.259)	Data 0.127 (0.197)	Loss 5.0548 (5.0432)	Prec@1 6.250 (4.320)	Prec@5 16.797 (15.202)
Epoch: [4][3300/7045]	Time 0.364 (0.259)	Data 0.313 (0.197)	Loss 5.0470 (5.0432)	Prec@1 4.297 (4.318)	Prec@5 16.406 (15.204)
Epoch: [4][3310/7045]	Time 0.102 (0.259)	Data 0.001 (0.197)	Loss 5.0170 (5.0429)	Prec@1 3.906 (4.320)	Prec@5 16.406 (15.206)
Epoch: [4][3320/7045]	Time 0.628 (0.259)	Data 0.575 (0.197)	Loss 5.0636 (5.0429)	Prec@1 5.078 (4.320)	Prec@5 16.016 (15.203)
Epoch: [4][3330/7045]	Time 0.105 (0.259)	Data 0.053 (0.197)	Loss 5.0022 (5.0429)	Prec@1 4.297 (4.318)	Prec@5 15.625 (15.201)
Epoch: [4][3340/7045]	Time 0.498 (0.259)	Data 0.437 (0.197)	Loss 4.7816 (5.0428)	Prec@1 8.203 (4.321)	Prec@5 19.922 (15.204)
Epoch: [4][3350/7045]	Time 0.102 (0.259)	Data 0.001 (0.197)	Loss 5.0115 (5.0427)	Prec@1 6.641 (4.322)	Prec@5 14.062 (15.204)
Epoch: [4][3360/7045]	Time 0.148 (0.259)	Data 0.096 (0.197)	Loss 4.9616 (5.0425)	Prec@1 6.250 (4.326)	Prec@5 17.188 (15.209)
Epoch: [4][3370/7045]	Time 0.102 (0.259)	Data 0.001 (0.197)	Loss 5.0586 (5.0425)	Prec@1 2.344 (4.325)	Prec@5 11.328 (15.210)
Epoch: [4][3380/7045]	Time 0.305 (0.259)	Data 0.254 (0.197)	Loss 5.0578 (5.0425)	Prec@1 3.906 (4.324)	Prec@5 17.188 (15.209)
Epoch: [4][3390/7045]	Time 0.104 (0.259)	Data 0.003 (0.197)	Loss 5.0425 (5.0426)	Prec@1 4.688 (4.321)	Prec@5 11.328 (15.206)
Epoch: [4][3400/7045]	Time 0.644 (0.259)	Data 0.593 (0.197)	Loss 4.9792 (5.0426)	Prec@1 4.297 (4.323)	Prec@5 14.453 (15.206)
Epoch: [4][3410/7045]	Time 0.100 (0.259)	Data 0.047 (0.197)	Loss 5.1406 (5.0427)	Prec@1 3.125 (4.324)	Prec@5 14.844 (15.206)
Epoch: [4][3420/7045]	Time 0.111 (0.259)	Data 0.057 (0.197)	Loss 5.1040 (5.0427)	Prec@1 4.688 (4.325)	Prec@5 12.500 (15.207)
Epoch: [4][3430/7045]	Time 0.101 (0.259)	Data 0.011 (0.197)	Loss 5.0286 (5.0426)	Prec@1 6.250 (4.328)	Prec@5 17.188 (15.210)
Epoch: [4][3440/7045]	Time 0.110 (0.259)	Data 0.008 (0.197)	Loss 5.0315 (5.0425)	Prec@1 5.859 (4.330)	Prec@5 14.844 (15.211)
Epoch: [4][3450/7045]	Time 0.293 (0.259)	Data 0.241 (0.197)	Loss 4.9702 (5.0425)	Prec@1 5.078 (4.329)	Prec@5 17.188 (15.209)
Epoch: [4][3460/7045]	Time 0.362 (0.259)	Data 0.305 (0.197)	Loss 5.0596 (5.0425)	Prec@1 5.078 (4.329)	Prec@5 17.188 (15.211)
Epoch: [4][3470/7045]	Time 0.485 (0.259)	Data 0.434 (0.197)	Loss 5.0829 (5.0427)	Prec@1 5.078 (4.328)	Prec@5 13.672 (15.208)
Epoch: [4][3480/7045]	Time 0.176 (0.259)	Data 0.125 (0.197)	Loss 5.1450 (5.0428)	Prec@1 3.125 (4.329)	Prec@5 14.844 (15.209)
Epoch: [4][3490/7045]	Time 0.413 (0.259)	Data 0.362 (0.197)	Loss 5.0454 (5.0428)	Prec@1 2.734 (4.328)	Prec@5 15.625 (15.208)
Epoch: [4][3500/7045]	Time 0.101 (0.259)	Data 0.003 (0.197)	Loss 5.1356 (5.0431)	Prec@1 4.688 (4.326)	Prec@5 12.891 (15.202)
Epoch: [4][3510/7045]	Time 0.156 (0.259)	Data 0.104 (0.197)	Loss 5.1870 (5.0432)	Prec@1 4.297 (4.326)	Prec@5 13.281 (15.200)
Epoch: [4][3520/7045]	Time 0.100 (0.259)	Data 0.001 (0.197)	Loss 5.0554 (5.0434)	Prec@1 3.906 (4.325)	Prec@5 13.281 (15.198)
Epoch: [4][3530/7045]	Time 0.342 (0.259)	Data 0.289 (0.197)	Loss 5.1134 (5.0434)	Prec@1 2.734 (4.324)	Prec@5 13.281 (15.198)
Epoch: [4][3540/7045]	Time 0.153 (0.259)	Data 0.095 (0.197)	Loss 5.0386 (5.0435)	Prec@1 3.125 (4.322)	Prec@5 9.375 (15.193)
Epoch: [4][3550/7045]	Time 0.491 (0.259)	Data 0.439 (0.197)	Loss 5.0318 (5.0436)	Prec@1 5.078 (4.321)	Prec@5 12.109 (15.192)
Epoch: [4][3560/7045]	Time 0.139 (0.259)	Data 0.088 (0.197)	Loss 5.0034 (5.0435)	Prec@1 3.125 (4.319)	Prec@5 16.016 (15.191)
Epoch: [4][3570/7045]	Time 0.385 (0.259)	Data 0.333 (0.197)	Loss 5.1318 (5.0436)	Prec@1 4.297 (4.318)	Prec@5 12.500 (15.189)
Epoch: [4][3580/7045]	Time 0.481 (0.259)	Data 0.429 (0.197)	Loss 5.0388 (5.0437)	Prec@1 4.688 (4.319)	Prec@5 14.453 (15.190)
Epoch: [4][3590/7045]	Time 0.211 (0.259)	Data 0.159 (0.197)	Loss 4.8847 (5.0436)	Prec@1 5.078 (4.318)	Prec@5 18.750 (15.192)
Epoch: [4][3600/7045]	Time 0.649 (0.259)	Data 0.597 (0.197)	Loss 5.0437 (5.0435)	Prec@1 4.688 (4.320)	Prec@5 14.062 (15.193)
Epoch: [4][3610/7045]	Time 0.102 (0.259)	Data 0.045 (0.197)	Loss 4.9608 (5.0434)	Prec@1 5.859 (4.320)	Prec@5 13.672 (15.192)
Epoch: [4][3620/7045]	Time 0.610 (0.259)	Data 0.558 (0.197)	Loss 4.8801 (5.0433)	Prec@1 6.250 (4.323)	Prec@5 17.969 (15.195)
Epoch: [4][3630/7045]	Time 0.110 (0.259)	Data 0.006 (0.197)	Loss 5.0188 (5.0430)	Prec@1 3.125 (4.325)	Prec@5 15.625 (15.199)
Epoch: [4][3640/7045]	Time 0.683 (0.259)	Data 0.625 (0.197)	Loss 5.1571 (5.0430)	Prec@1 5.078 (4.326)	Prec@5 15.625 (15.199)
Epoch: [4][3650/7045]	Time 0.153 (0.259)	Data 0.100 (0.197)	Loss 5.0762 (5.0431)	Prec@1 3.906 (4.325)	Prec@5 14.453 (15.199)
Epoch: [4][3660/7045]	Time 0.530 (0.259)	Data 0.478 (0.197)	Loss 5.0837 (5.0431)	Prec@1 2.734 (4.326)	Prec@5 14.844 (15.198)
Epoch: [4][3670/7045]	Time 0.166 (0.259)	Data 0.114 (0.197)	Loss 5.1676 (5.0434)	Prec@1 3.125 (4.324)	Prec@5 10.938 (15.196)
Epoch: [4][3680/7045]	Time 0.536 (0.259)	Data 0.484 (0.197)	Loss 5.0466 (5.0434)	Prec@1 6.250 (4.324)	Prec@5 14.453 (15.194)
Epoch: [4][3690/7045]	Time 0.348 (0.259)	Data 0.296 (0.197)	Loss 5.0568 (5.0435)	Prec@1 3.125 (4.323)	Prec@5 14.062 (15.193)
Epoch: [4][3700/7045]	Time 0.434 (0.259)	Data 0.383 (0.197)	Loss 4.9480 (5.0433)	Prec@1 2.734 (4.324)	Prec@5 17.969 (15.197)
Epoch: [4][3710/7045]	Time 0.303 (0.259)	Data 0.251 (0.197)	Loss 4.9508 (5.0435)	Prec@1 3.516 (4.323)	Prec@5 17.578 (15.196)
Epoch: [4][3720/7045]	Time 0.196 (0.259)	Data 0.144 (0.197)	Loss 5.0720 (5.0436)	Prec@1 1.562 (4.322)	Prec@5 12.109 (15.196)
Epoch: [4][3730/7045]	Time 0.158 (0.259)	Data 0.106 (0.197)	Loss 4.8523 (5.0435)	Prec@1 5.469 (4.322)	Prec@5 15.234 (15.195)
Epoch: [4][3740/7045]	Time 0.133 (0.259)	Data 0.073 (0.197)	Loss 5.1577 (5.0436)	Prec@1 3.125 (4.321)	Prec@5 12.891 (15.194)
Epoch: [4][3750/7045]	Time 0.102 (0.259)	Data 0.001 (0.197)	Loss 5.2126 (5.0437)	Prec@1 3.906 (4.321)	Prec@5 11.328 (15.192)
Epoch: [4][3760/7045]	Time 0.237 (0.259)	Data 0.185 (0.197)	Loss 5.1500 (5.0437)	Prec@1 5.859 (4.322)	Prec@5 14.453 (15.194)
Epoch: [4][3770/7045]	Time 0.169 (0.259)	Data 0.119 (0.197)	Loss 4.9401 (5.0437)	Prec@1 6.250 (4.322)	Prec@5 19.141 (15.194)
Epoch: [4][3780/7045]	Time 0.210 (0.259)	Data 0.160 (0.197)	Loss 5.0904 (5.0437)	Prec@1 4.688 (4.322)	Prec@5 15.234 (15.195)
Epoch: [4][3790/7045]	Time 0.144 (0.259)	Data 0.092 (0.197)	Loss 5.1214 (5.0437)	Prec@1 4.297 (4.324)	Prec@5 12.109 (15.194)
Epoch: [4][3800/7045]	Time 0.211 (0.259)	Data 0.159 (0.197)	Loss 4.9411 (5.0437)	Prec@1 2.344 (4.323)	Prec@5 13.672 (15.193)
Epoch: [4][3810/7045]	Time 0.275 (0.259)	Data 0.225 (0.197)	Loss 5.1245 (5.0438)	Prec@1 5.078 (4.322)	Prec@5 14.453 (15.190)
Epoch: [4][3820/7045]	Time 0.340 (0.259)	Data 0.288 (0.197)	Loss 5.2629 (5.0439)	Prec@1 3.516 (4.323)	Prec@5 14.844 (15.189)
Epoch: [4][3830/7045]	Time 0.336 (0.259)	Data 0.284 (0.197)	Loss 5.0144 (5.0440)	Prec@1 8.203 (4.324)	Prec@5 17.969 (15.189)
Epoch: [4][3840/7045]	Time 0.402 (0.259)	Data 0.352 (0.197)	Loss 5.1234 (5.0439)	Prec@1 3.516 (4.326)	Prec@5 13.281 (15.192)
Epoch: [4][3850/7045]	Time 0.112 (0.259)	Data 0.054 (0.197)	Loss 4.8800 (5.0437)	Prec@1 7.812 (4.326)	Prec@5 17.578 (15.195)
Epoch: [4][3860/7045]	Time 0.593 (0.259)	Data 0.542 (0.197)	Loss 4.8975 (5.0436)	Prec@1 7.031 (4.329)	Prec@5 17.578 (15.196)
Epoch: [4][3870/7045]	Time 0.101 (0.259)	Data 0.006 (0.197)	Loss 5.0798 (5.0435)	Prec@1 3.125 (4.329)	Prec@5 14.844 (15.200)
Epoch: [4][3880/7045]	Time 0.440 (0.259)	Data 0.390 (0.197)	Loss 4.9524 (5.0434)	Prec@1 5.469 (4.330)	Prec@5 16.406 (15.200)
Epoch: [4][3890/7045]	Time 0.203 (0.259)	Data 0.153 (0.197)	Loss 5.0766 (5.0434)	Prec@1 3.906 (4.330)	Prec@5 16.016 (15.201)
Epoch: [4][3900/7045]	Time 0.107 (0.259)	Data 0.004 (0.197)	Loss 5.1631 (5.0436)	Prec@1 3.125 (4.328)	Prec@5 14.062 (15.198)
Epoch: [4][3910/7045]	Time 0.389 (0.259)	Data 0.337 (0.197)	Loss 5.0930 (5.0437)	Prec@1 3.906 (4.328)	Prec@5 14.453 (15.197)
Epoch: [4][3920/7045]	Time 0.298 (0.259)	Data 0.246 (0.197)	Loss 5.1072 (5.0436)	Prec@1 4.297 (4.329)	Prec@5 15.625 (15.201)
Epoch: [4][3930/7045]	Time 0.189 (0.259)	Data 0.137 (0.197)	Loss 4.9862 (5.0434)	Prec@1 4.688 (4.330)	Prec@5 14.844 (15.204)
Epoch: [4][3940/7045]	Time 0.412 (0.259)	Data 0.356 (0.197)	Loss 5.0754 (5.0434)	Prec@1 4.688 (4.330)	Prec@5 10.938 (15.204)
Epoch: [4][3950/7045]	Time 0.101 (0.259)	Data 0.005 (0.197)	Loss 5.0449 (5.0433)	Prec@1 4.297 (4.332)	Prec@5 13.672 (15.207)
Epoch: [4][3960/7045]	Time 0.183 (0.259)	Data 0.131 (0.197)	Loss 4.9429 (5.0432)	Prec@1 4.688 (4.331)	Prec@5 19.141 (15.211)
Epoch: [4][3970/7045]	Time 0.101 (0.259)	Data 0.001 (0.197)	Loss 4.9980 (5.0432)	Prec@1 3.125 (4.331)	Prec@5 14.062 (15.211)
Epoch: [4][3980/7045]	Time 0.206 (0.259)	Data 0.154 (0.197)	Loss 5.1153 (5.0433)	Prec@1 6.250 (4.330)	Prec@5 16.797 (15.208)
Epoch: [4][3990/7045]	Time 0.480 (0.259)	Data 0.422 (0.197)	Loss 5.0884 (5.0433)	Prec@1 3.516 (4.330)	Prec@5 13.672 (15.210)
Epoch: [4][4000/7045]	Time 0.398 (0.259)	Data 0.346 (0.197)	Loss 5.0800 (5.0435)	Prec@1 3.125 (4.329)	Prec@5 13.281 (15.206)
Epoch: [4][4010/7045]	Time 0.514 (0.259)	Data 0.463 (0.197)	Loss 4.8665 (5.0434)	Prec@1 7.812 (4.332)	Prec@5 17.188 (15.207)
Epoch: [4][4020/7045]	Time 0.142 (0.259)	Data 0.091 (0.197)	Loss 5.1025 (5.0433)	Prec@1 4.688 (4.332)	Prec@5 14.062 (15.206)
Epoch: [4][4030/7045]	Time 0.110 (0.259)	Data 0.059 (0.197)	Loss 5.0737 (5.0433)	Prec@1 5.078 (4.332)	Prec@5 16.016 (15.208)
Epoch: [4][4040/7045]	Time 0.102 (0.259)	Data 0.047 (0.197)	Loss 5.1140 (5.0433)	Prec@1 3.906 (4.332)	Prec@5 11.328 (15.207)
Epoch: [4][4050/7045]	Time 0.102 (0.259)	Data 0.001 (0.197)	Loss 5.0632 (5.0434)	Prec@1 4.297 (4.332)	Prec@5 12.891 (15.207)
Epoch: [4][4060/7045]	Time 0.381 (0.259)	Data 0.330 (0.197)	Loss 4.9894 (5.0436)	Prec@1 4.297 (4.332)	Prec@5 13.672 (15.206)
Epoch: [4][4070/7045]	Time 0.243 (0.259)	Data 0.193 (0.197)	Loss 4.9083 (5.0433)	Prec@1 5.078 (4.333)	Prec@5 19.141 (15.210)
Epoch: [4][4080/7045]	Time 0.473 (0.259)	Data 0.422 (0.197)	Loss 4.8201 (5.0432)	Prec@1 9.375 (4.335)	Prec@5 19.531 (15.214)
Epoch: [4][4090/7045]	Time 0.206 (0.259)	Data 0.155 (0.197)	Loss 5.1225 (5.0433)	Prec@1 4.297 (4.334)	Prec@5 13.672 (15.212)
Epoch: [4][4100/7045]	Time 0.225 (0.259)	Data 0.174 (0.197)	Loss 5.0756 (5.0433)	Prec@1 3.125 (4.334)	Prec@5 15.234 (15.213)
Epoch: [4][4110/7045]	Time 0.356 (0.259)	Data 0.303 (0.197)	Loss 5.0616 (5.0431)	Prec@1 2.344 (4.334)	Prec@5 11.719 (15.216)
Epoch: [4][4120/7045]	Time 0.168 (0.259)	Data 0.117 (0.197)	Loss 4.8876 (5.0430)	Prec@1 5.469 (4.335)	Prec@5 18.750 (15.216)
Epoch: [4][4130/7045]	Time 0.102 (0.259)	Data 0.011 (0.197)	Loss 4.9399 (5.0430)	Prec@1 2.734 (4.334)	Prec@5 14.062 (15.214)
Epoch: [4][4140/7045]	Time 0.563 (0.259)	Data 0.505 (0.197)	Loss 5.0518 (5.0429)	Prec@1 6.250 (4.335)	Prec@5 18.750 (15.219)
Epoch: [4][4150/7045]	Time 0.277 (0.259)	Data 0.225 (0.197)	Loss 4.9179 (5.0428)	Prec@1 3.906 (4.337)	Prec@5 18.750 (15.219)
Epoch: [4][4160/7045]	Time 0.495 (0.259)	Data 0.437 (0.197)	Loss 5.0463 (5.0427)	Prec@1 4.688 (4.338)	Prec@5 14.453 (15.220)
Epoch: [4][4170/7045]	Time 0.352 (0.259)	Data 0.301 (0.197)	Loss 5.1246 (5.0428)	Prec@1 2.734 (4.337)	Prec@5 12.109 (15.220)
Epoch: [4][4180/7045]	Time 0.381 (0.259)	Data 0.331 (0.197)	Loss 4.9736 (5.0427)	Prec@1 3.516 (4.337)	Prec@5 16.797 (15.223)
Epoch: [4][4190/7045]	Time 0.358 (0.259)	Data 0.306 (0.197)	Loss 5.1371 (5.0427)	Prec@1 4.688 (4.337)	Prec@5 17.188 (15.221)
Epoch: [4][4200/7045]	Time 0.440 (0.259)	Data 0.389 (0.197)	Loss 5.0565 (5.0427)	Prec@1 2.344 (4.337)	Prec@5 10.547 (15.222)
Epoch: [4][4210/7045]	Time 0.287 (0.259)	Data 0.235 (0.197)	Loss 5.0257 (5.0427)	Prec@1 7.812 (4.337)	Prec@5 17.578 (15.222)
Epoch: [4][4220/7045]	Time 0.102 (0.259)	Data 0.001 (0.197)	Loss 4.9991 (5.0425)	Prec@1 4.297 (4.338)	Prec@5 14.062 (15.227)
Epoch: [4][4230/7045]	Time 0.108 (0.259)	Data 0.006 (0.197)	Loss 5.0685 (5.0425)	Prec@1 3.516 (4.340)	Prec@5 12.500 (15.227)
Epoch: [4][4240/7045]	Time 0.157 (0.259)	Data 0.106 (0.197)	Loss 5.1597 (5.0426)	Prec@1 1.562 (4.337)	Prec@5 13.281 (15.224)
Epoch: [4][4250/7045]	Time 0.172 (0.259)	Data 0.120 (0.197)	Loss 5.1071 (5.0427)	Prec@1 2.734 (4.337)	Prec@5 10.938 (15.222)
Epoch: [4][4260/7045]	Time 0.103 (0.259)	Data 0.051 (0.197)	Loss 4.9387 (5.0426)	Prec@1 5.078 (4.336)	Prec@5 14.844 (15.222)
Epoch: [4][4270/7045]	Time 0.184 (0.259)	Data 0.133 (0.197)	Loss 5.0831 (5.0426)	Prec@1 2.344 (4.336)	Prec@5 14.453 (15.221)
Epoch: [4][4280/7045]	Time 0.331 (0.259)	Data 0.280 (0.197)	Loss 5.0062 (5.0424)	Prec@1 5.078 (4.339)	Prec@5 18.359 (15.227)
Epoch: [4][4290/7045]	Time 0.102 (0.259)	Data 0.050 (0.197)	Loss 5.0748 (5.0424)	Prec@1 3.125 (4.338)	Prec@5 12.891 (15.226)
Epoch: [4][4300/7045]	Time 0.575 (0.259)	Data 0.523 (0.197)	Loss 5.1987 (5.0424)	Prec@1 4.688 (4.340)	Prec@5 12.500 (15.226)
Epoch: [4][4310/7045]	Time 0.445 (0.259)	Data 0.393 (0.197)	Loss 5.2192 (5.0426)	Prec@1 2.344 (4.340)	Prec@5 13.672 (15.225)
Epoch: [4][4320/7045]	Time 0.254 (0.259)	Data 0.203 (0.197)	Loss 4.8955 (5.0427)	Prec@1 5.859 (4.339)	Prec@5 17.578 (15.222)
Epoch: [4][4330/7045]	Time 0.582 (0.259)	Data 0.531 (0.197)	Loss 5.1662 (5.0428)	Prec@1 2.734 (4.337)	Prec@5 13.281 (15.218)
Epoch: [4][4340/7045]	Time 0.109 (0.259)	Data 0.001 (0.197)	Loss 5.0480 (5.0429)	Prec@1 5.078 (4.338)	Prec@5 16.016 (15.216)
Epoch: [4][4350/7045]	Time 0.596 (0.259)	Data 0.544 (0.197)	Loss 4.9819 (5.0428)	Prec@1 5.078 (4.338)	Prec@5 14.453 (15.216)
Epoch: [4][4360/7045]	Time 0.107 (0.259)	Data 0.001 (0.197)	Loss 5.1787 (5.0427)	Prec@1 5.469 (4.340)	Prec@5 14.062 (15.218)
Epoch: [4][4370/7045]	Time 0.586 (0.259)	Data 0.534 (0.197)	Loss 5.1194 (5.0427)	Prec@1 3.906 (4.341)	Prec@5 14.062 (15.218)
Epoch: [4][4380/7045]	Time 0.111 (0.259)	Data 0.001 (0.197)	Loss 5.1540 (5.0428)	Prec@1 4.297 (4.340)	Prec@5 12.500 (15.216)
Epoch: [4][4390/7045]	Time 0.377 (0.259)	Data 0.326 (0.197)	Loss 4.9924 (5.0429)	Prec@1 5.469 (4.342)	Prec@5 17.578 (15.218)
Epoch: [4][4400/7045]	Time 0.179 (0.259)	Data 0.128 (0.197)	Loss 5.0248 (5.0429)	Prec@1 3.906 (4.341)	Prec@5 16.797 (15.219)
Epoch: [4][4410/7045]	Time 0.147 (0.259)	Data 0.096 (0.197)	Loss 4.9778 (5.0427)	Prec@1 3.906 (4.340)	Prec@5 15.234 (15.221)
Epoch: [4][4420/7045]	Time 0.100 (0.259)	Data 0.046 (0.197)	Loss 5.0442 (5.0427)	Prec@1 4.297 (4.341)	Prec@5 16.406 (15.223)
Epoch: [4][4430/7045]	Time 0.110 (0.259)	Data 0.056 (0.197)	Loss 5.1969 (5.0427)	Prec@1 4.688 (4.342)	Prec@5 13.281 (15.223)
Epoch: [4][4440/7045]	Time 0.102 (0.259)	Data 0.001 (0.197)	Loss 5.0849 (5.0427)	Prec@1 4.297 (4.343)	Prec@5 14.062 (15.226)
Epoch: [4][4450/7045]	Time 0.198 (0.259)	Data 0.147 (0.197)	Loss 4.9756 (5.0427)	Prec@1 5.469 (4.342)	Prec@5 15.625 (15.224)
Epoch: [4][4460/7045]	Time 0.694 (0.259)	Data 0.643 (0.197)	Loss 4.9920 (5.0426)	Prec@1 3.516 (4.343)	Prec@5 13.281 (15.222)
Epoch: [4][4470/7045]	Time 0.107 (0.259)	Data 0.011 (0.197)	Loss 4.8236 (5.0425)	Prec@1 3.906 (4.342)	Prec@5 19.531 (15.223)
Epoch: [4][4480/7045]	Time 0.407 (0.259)	Data 0.356 (0.197)	Loss 5.0425 (5.0426)	Prec@1 5.859 (4.340)	Prec@5 14.844 (15.220)
Epoch: [4][4490/7045]	Time 0.251 (0.259)	Data 0.200 (0.197)	Loss 5.0586 (5.0425)	Prec@1 4.688 (4.340)	Prec@5 18.750 (15.222)
Epoch: [4][4500/7045]	Time 0.212 (0.259)	Data 0.161 (0.197)	Loss 5.1132 (5.0425)	Prec@1 4.297 (4.341)	Prec@5 12.109 (15.222)
Epoch: [4][4510/7045]	Time 0.157 (0.259)	Data 0.104 (0.197)	Loss 5.0132 (5.0424)	Prec@1 6.641 (4.340)	Prec@5 16.016 (15.223)
Epoch: [4][4520/7045]	Time 0.535 (0.259)	Data 0.483 (0.197)	Loss 5.0309 (5.0423)	Prec@1 4.688 (4.342)	Prec@5 16.406 (15.227)
Epoch: [4][4530/7045]	Time 0.195 (0.259)	Data 0.144 (0.197)	Loss 5.1498 (5.0422)	Prec@1 3.516 (4.343)	Prec@5 14.844 (15.229)
Epoch: [4][4540/7045]	Time 0.280 (0.259)	Data 0.229 (0.197)	Loss 4.9771 (5.0421)	Prec@1 4.297 (4.343)	Prec@5 17.969 (15.229)
Epoch: [4][4550/7045]	Time 0.341 (0.259)	Data 0.288 (0.197)	Loss 5.0818 (5.0420)	Prec@1 3.125 (4.343)	Prec@5 12.891 (15.230)
Epoch: [4][4560/7045]	Time 0.101 (0.259)	Data 0.001 (0.197)	Loss 4.9840 (5.0420)	Prec@1 4.688 (4.343)	Prec@5 15.234 (15.230)
Epoch: [4][4570/7045]	Time 0.481 (0.259)	Data 0.429 (0.197)	Loss 5.0796 (5.0422)	Prec@1 3.125 (4.342)	Prec@5 14.844 (15.227)
Epoch: [4][4580/7045]	Time 0.102 (0.259)	Data 0.001 (0.197)	Loss 5.1012 (5.0422)	Prec@1 4.688 (4.342)	Prec@5 15.234 (15.227)
Epoch: [4][4590/7045]	Time 0.430 (0.259)	Data 0.372 (0.197)	Loss 5.1208 (5.0422)	Prec@1 6.250 (4.343)	Prec@5 15.625 (15.229)
Epoch: [4][4600/7045]	Time 0.102 (0.259)	Data 0.007 (0.197)	Loss 5.0364 (5.0422)	Prec@1 4.297 (4.342)	Prec@5 11.719 (15.230)
Epoch: [4][4610/7045]	Time 0.532 (0.259)	Data 0.482 (0.197)	Loss 4.8944 (5.0422)	Prec@1 5.469 (4.342)	Prec@5 15.625 (15.228)
Epoch: [4][4620/7045]	Time 0.102 (0.259)	Data 0.007 (0.196)	Loss 4.9004 (5.0422)	Prec@1 5.859 (4.341)	Prec@5 19.922 (15.228)
Epoch: [4][4630/7045]	Time 0.215 (0.259)	Data 0.163 (0.196)	Loss 5.1233 (5.0423)	Prec@1 2.734 (4.341)	Prec@5 14.453 (15.228)
Epoch: [4][4640/7045]	Time 0.151 (0.259)	Data 0.099 (0.196)	Loss 4.9716 (5.0421)	Prec@1 5.469 (4.342)	Prec@5 16.016 (15.231)
Epoch: [4][4650/7045]	Time 0.135 (0.259)	Data 0.083 (0.196)	Loss 5.1183 (5.0421)	Prec@1 3.516 (4.343)	Prec@5 17.578 (15.234)
Epoch: [4][4660/7045]	Time 0.107 (0.259)	Data 0.055 (0.196)	Loss 5.0279 (5.0420)	Prec@1 3.906 (4.343)	Prec@5 15.625 (15.235)
Epoch: [4][4670/7045]	Time 0.263 (0.259)	Data 0.211 (0.196)	Loss 5.0048 (5.0419)	Prec@1 4.688 (4.344)	Prec@5 15.234 (15.237)
Epoch: [4][4680/7045]	Time 0.102 (0.259)	Data 0.001 (0.196)	Loss 5.0695 (5.0419)	Prec@1 4.688 (4.344)	Prec@5 12.109 (15.240)
Epoch: [4][4690/7045]	Time 0.355 (0.259)	Data 0.303 (0.197)	Loss 5.0139 (5.0420)	Prec@1 6.250 (4.344)	Prec@5 17.578 (15.241)
Epoch: [4][4700/7045]	Time 0.147 (0.259)	Data 0.095 (0.196)	Loss 4.9484 (5.0420)	Prec@1 4.688 (4.344)	Prec@5 18.750 (15.240)
Epoch: [4][4710/7045]	Time 0.369 (0.259)	Data 0.317 (0.196)	Loss 5.1263 (5.0419)	Prec@1 5.078 (4.344)	Prec@5 13.281 (15.241)
Epoch: [4][4720/7045]	Time 0.155 (0.259)	Data 0.103 (0.196)	Loss 5.0659 (5.0417)	Prec@1 4.297 (4.346)	Prec@5 14.844 (15.246)
Epoch: [4][4730/7045]	Time 0.204 (0.259)	Data 0.152 (0.196)	Loss 5.1244 (5.0417)	Prec@1 3.906 (4.346)	Prec@5 17.969 (15.247)
Epoch: [4][4740/7045]	Time 0.101 (0.259)	Data 0.001 (0.196)	Loss 5.0323 (5.0416)	Prec@1 3.125 (4.345)	Prec@5 11.328 (15.247)
Epoch: [4][4750/7045]	Time 0.447 (0.259)	Data 0.395 (0.196)	Loss 5.0374 (5.0414)	Prec@1 4.297 (4.347)	Prec@5 18.359 (15.251)
Epoch: [4][4760/7045]	Time 0.216 (0.259)	Data 0.165 (0.196)	Loss 4.8925 (5.0414)	Prec@1 4.297 (4.347)	Prec@5 17.578 (15.253)
Epoch: [4][4770/7045]	Time 0.108 (0.259)	Data 0.056 (0.196)	Loss 5.0216 (5.0414)	Prec@1 4.297 (4.348)	Prec@5 14.453 (15.253)
Epoch: [4][4780/7045]	Time 0.151 (0.259)	Data 0.100 (0.196)	Loss 4.8789 (5.0413)	Prec@1 6.641 (4.348)	Prec@5 19.922 (15.255)
Epoch: [4][4790/7045]	Time 0.248 (0.259)	Data 0.197 (0.196)	Loss 4.9633 (5.0413)	Prec@1 4.688 (4.348)	Prec@5 16.797 (15.255)
Epoch: [4][4800/7045]	Time 0.350 (0.259)	Data 0.298 (0.196)	Loss 5.0353 (5.0412)	Prec@1 3.125 (4.348)	Prec@5 16.797 (15.256)
Epoch: [4][4810/7045]	Time 0.483 (0.259)	Data 0.432 (0.197)	Loss 4.9698 (5.0411)	Prec@1 5.078 (4.350)	Prec@5 15.234 (15.258)
Epoch: [4][4820/7045]	Time 0.133 (0.259)	Data 0.081 (0.196)	Loss 4.9791 (5.0411)	Prec@1 4.297 (4.350)	Prec@5 15.234 (15.258)
Epoch: [4][4830/7045]	Time 0.597 (0.259)	Data 0.539 (0.197)	Loss 5.1033 (5.0410)	Prec@1 4.297 (4.350)	Prec@5 13.672 (15.257)
Epoch: [4][4840/7045]	Time 0.155 (0.258)	Data 0.104 (0.196)	Loss 5.1181 (5.0410)	Prec@1 4.688 (4.351)	Prec@5 11.328 (15.257)
Epoch: [4][4850/7045]	Time 0.702 (0.259)	Data 0.645 (0.197)	Loss 5.0535 (5.0410)	Prec@1 5.078 (4.350)	Prec@5 16.797 (15.257)
Epoch: [4][4860/7045]	Time 0.110 (0.259)	Data 0.001 (0.196)	Loss 5.1522 (5.0411)	Prec@1 2.344 (4.350)	Prec@5 9.766 (15.256)
Epoch: [4][4870/7045]	Time 0.487 (0.259)	Data 0.436 (0.196)	Loss 5.1212 (5.0411)	Prec@1 3.516 (4.348)	Prec@5 12.109 (15.254)
Epoch: [4][4880/7045]	Time 0.336 (0.259)	Data 0.279 (0.196)	Loss 5.1549 (5.0410)	Prec@1 3.906 (4.348)	Prec@5 13.672 (15.256)
Epoch: [4][4890/7045]	Time 0.108 (0.258)	Data 0.055 (0.196)	Loss 5.0413 (5.0412)	Prec@1 3.125 (4.347)	Prec@5 12.500 (15.254)
Epoch: [4][4900/7045]	Time 0.585 (0.259)	Data 0.527 (0.196)	Loss 5.0355 (5.0412)	Prec@1 3.516 (4.347)	Prec@5 16.016 (15.255)
Epoch: [4][4910/7045]	Time 0.285 (0.258)	Data 0.235 (0.196)	Loss 5.1275 (5.0411)	Prec@1 2.734 (4.347)	Prec@5 12.500 (15.256)
Epoch: [4][4920/7045]	Time 0.390 (0.259)	Data 0.338 (0.196)	Loss 5.0140 (5.0411)	Prec@1 3.516 (4.347)	Prec@5 16.406 (15.255)
Epoch: [4][4930/7045]	Time 0.103 (0.259)	Data 0.005 (0.196)	Loss 4.9759 (5.0411)	Prec@1 7.031 (4.347)	Prec@5 17.578 (15.253)
Epoch: [4][4940/7045]	Time 0.101 (0.258)	Data 0.001 (0.196)	Loss 5.1847 (5.0410)	Prec@1 3.516 (4.347)	Prec@5 12.109 (15.255)
Epoch: [4][4950/7045]	Time 0.129 (0.258)	Data 0.078 (0.196)	Loss 5.0654 (5.0412)	Prec@1 5.078 (4.346)	Prec@5 17.578 (15.250)
Epoch: [4][4960/7045]	Time 0.171 (0.258)	Data 0.118 (0.196)	Loss 5.0925 (5.0413)	Prec@1 5.078 (4.344)	Prec@5 15.625 (15.248)
Epoch: [4][4970/7045]	Time 0.101 (0.258)	Data 0.005 (0.196)	Loss 5.0198 (5.0413)	Prec@1 2.734 (4.344)	Prec@5 14.453 (15.250)
Epoch: [4][4980/7045]	Time 0.238 (0.258)	Data 0.186 (0.196)	Loss 5.0556 (5.0413)	Prec@1 5.859 (4.345)	Prec@5 16.797 (15.249)
Epoch: [4][4990/7045]	Time 0.236 (0.258)	Data 0.184 (0.196)	Loss 4.9943 (5.0413)	Prec@1 6.641 (4.344)	Prec@5 15.625 (15.249)
Epoch: [4][5000/7045]	Time 0.240 (0.258)	Data 0.185 (0.196)	Loss 5.0079 (5.0413)	Prec@1 5.078 (4.346)	Prec@5 15.234 (15.248)
Epoch: [4][5010/7045]	Time 0.102 (0.258)	Data 0.005 (0.196)	Loss 5.0269 (5.0412)	Prec@1 4.688 (4.347)	Prec@5 17.578 (15.251)
Epoch: [4][5020/7045]	Time 0.418 (0.258)	Data 0.366 (0.196)	Loss 5.0482 (5.0410)	Prec@1 2.344 (4.349)	Prec@5 13.672 (15.254)
Epoch: [4][5030/7045]	Time 0.101 (0.258)	Data 0.001 (0.196)	Loss 4.8799 (5.0409)	Prec@1 7.031 (4.350)	Prec@5 19.922 (15.256)
Epoch: [4][5040/7045]	Time 0.204 (0.258)	Data 0.153 (0.196)	Loss 4.9795 (5.0408)	Prec@1 2.344 (4.349)	Prec@5 15.234 (15.254)
Epoch: [4][5050/7045]	Time 0.230 (0.258)	Data 0.178 (0.196)	Loss 5.0678 (5.0409)	Prec@1 3.516 (4.349)	Prec@5 16.406 (15.253)
Epoch: [4][5060/7045]	Time 0.589 (0.258)	Data 0.538 (0.196)	Loss 5.0336 (5.0409)	Prec@1 4.297 (4.349)	Prec@5 15.234 (15.252)
Epoch: [4][5070/7045]	Time 0.291 (0.258)	Data 0.231 (0.196)	Loss 5.0282 (5.0408)	Prec@1 3.125 (4.349)	Prec@5 14.844 (15.253)
Epoch: [4][5080/7045]	Time 0.306 (0.258)	Data 0.254 (0.196)	Loss 5.1306 (5.0408)	Prec@1 5.078 (4.350)	Prec@5 15.625 (15.254)
Epoch: [4][5090/7045]	Time 0.265 (0.258)	Data 0.207 (0.196)	Loss 5.0831 (5.0407)	Prec@1 4.688 (4.352)	Prec@5 16.406 (15.258)
Epoch: [4][5100/7045]	Time 0.143 (0.258)	Data 0.091 (0.196)	Loss 5.1276 (5.0407)	Prec@1 3.125 (4.351)	Prec@5 13.281 (15.260)
Epoch: [4][5110/7045]	Time 0.101 (0.258)	Data 0.009 (0.196)	Loss 4.8935 (5.0407)	Prec@1 6.641 (4.351)	Prec@5 19.141 (15.260)
Epoch: [4][5120/7045]	Time 0.262 (0.258)	Data 0.210 (0.196)	Loss 5.2325 (5.0407)	Prec@1 3.906 (4.352)	Prec@5 14.062 (15.262)
Epoch: [4][5130/7045]	Time 0.102 (0.258)	Data 0.001 (0.196)	Loss 5.0654 (5.0407)	Prec@1 4.688 (4.352)	Prec@5 16.406 (15.263)
Epoch: [4][5140/7045]	Time 0.370 (0.258)	Data 0.319 (0.196)	Loss 5.0664 (5.0407)	Prec@1 6.641 (4.353)	Prec@5 16.406 (15.265)
Epoch: [4][5150/7045]	Time 0.390 (0.258)	Data 0.339 (0.196)	Loss 5.2142 (5.0407)	Prec@1 4.297 (4.352)	Prec@5 11.328 (15.265)
Epoch: [4][5160/7045]	Time 0.432 (0.258)	Data 0.380 (0.196)	Loss 5.0365 (5.0409)	Prec@1 5.469 (4.351)	Prec@5 16.016 (15.260)
Epoch: [4][5170/7045]	Time 0.115 (0.258)	Data 0.057 (0.196)	Loss 5.2182 (5.0410)	Prec@1 3.516 (4.350)	Prec@5 12.109 (15.257)
Epoch: [4][5180/7045]	Time 0.688 (0.258)	Data 0.629 (0.196)	Loss 5.0802 (5.0410)	Prec@1 5.078 (4.352)	Prec@5 16.016 (15.256)
Epoch: [4][5190/7045]	Time 0.111 (0.258)	Data 0.060 (0.196)	Loss 5.0116 (5.0410)	Prec@1 3.516 (4.352)	Prec@5 12.109 (15.256)
Epoch: [4][5200/7045]	Time 0.721 (0.258)	Data 0.670 (0.196)	Loss 4.9428 (5.0412)	Prec@1 5.078 (4.351)	Prec@5 19.141 (15.255)
Epoch: [4][5210/7045]	Time 0.101 (0.258)	Data 0.001 (0.196)	Loss 4.8507 (5.0411)	Prec@1 6.250 (4.351)	Prec@5 20.703 (15.256)
Epoch: [4][5220/7045]	Time 0.493 (0.258)	Data 0.442 (0.196)	Loss 5.1250 (5.0411)	Prec@1 4.297 (4.351)	Prec@5 11.328 (15.256)
Epoch: [4][5230/7045]	Time 0.422 (0.258)	Data 0.371 (0.196)	Loss 4.9321 (5.0410)	Prec@1 2.344 (4.352)	Prec@5 15.234 (15.259)
Epoch: [4][5240/7045]	Time 0.151 (0.258)	Data 0.099 (0.196)	Loss 5.0608 (5.0410)	Prec@1 4.297 (4.351)	Prec@5 12.500 (15.257)
Epoch: [4][5250/7045]	Time 0.542 (0.258)	Data 0.490 (0.196)	Loss 5.2510 (5.0409)	Prec@1 6.641 (4.352)	Prec@5 13.281 (15.260)
Epoch: [4][5260/7045]	Time 0.171 (0.258)	Data 0.120 (0.196)	Loss 5.0334 (5.0409)	Prec@1 1.953 (4.351)	Prec@5 17.188 (15.260)
Epoch: [4][5270/7045]	Time 0.190 (0.258)	Data 0.138 (0.196)	Loss 5.0057 (5.0409)	Prec@1 3.125 (4.352)	Prec@5 17.188 (15.263)
Epoch: [4][5280/7045]	Time 0.421 (0.258)	Data 0.370 (0.196)	Loss 4.8029 (5.0408)	Prec@1 6.250 (4.353)	Prec@5 23.438 (15.266)
Epoch: [4][5290/7045]	Time 0.235 (0.258)	Data 0.182 (0.196)	Loss 4.9166 (5.0407)	Prec@1 6.641 (4.354)	Prec@5 21.484 (15.268)
Epoch: [4][5300/7045]	Time 0.522 (0.258)	Data 0.470 (0.196)	Loss 4.7227 (5.0406)	Prec@1 7.422 (4.354)	Prec@5 21.094 (15.269)
Epoch: [4][5310/7045]	Time 0.110 (0.258)	Data 0.001 (0.196)	Loss 5.1693 (5.0406)	Prec@1 3.125 (4.355)	Prec@5 13.281 (15.269)
Epoch: [4][5320/7045]	Time 0.607 (0.258)	Data 0.555 (0.196)	Loss 5.0509 (5.0408)	Prec@1 5.859 (4.355)	Prec@5 15.234 (15.267)
Epoch: [4][5330/7045]	Time 0.685 (0.258)	Data 0.634 (0.196)	Loss 5.0976 (5.0408)	Prec@1 3.906 (4.356)	Prec@5 14.062 (15.268)
Epoch: [4][5340/7045]	Time 0.111 (0.258)	Data 0.006 (0.196)	Loss 5.0141 (5.0407)	Prec@1 6.641 (4.357)	Prec@5 16.797 (15.267)
Epoch: [4][5350/7045]	Time 0.389 (0.258)	Data 0.336 (0.196)	Loss 4.8814 (5.0406)	Prec@1 3.125 (4.356)	Prec@5 16.406 (15.266)
Epoch: [4][5360/7045]	Time 0.192 (0.258)	Data 0.140 (0.196)	Loss 4.8900 (5.0404)	Prec@1 3.516 (4.357)	Prec@5 19.141 (15.267)
Epoch: [4][5370/7045]	Time 0.100 (0.258)	Data 0.018 (0.196)	Loss 5.0913 (5.0404)	Prec@1 4.297 (4.357)	Prec@5 15.234 (15.268)
Epoch: [4][5380/7045]	Time 0.120 (0.258)	Data 0.069 (0.196)	Loss 4.9185 (5.0403)	Prec@1 3.125 (4.357)	Prec@5 16.016 (15.270)
Epoch: [4][5390/7045]	Time 0.198 (0.258)	Data 0.147 (0.196)	Loss 4.9919 (5.0403)	Prec@1 4.297 (4.357)	Prec@5 17.188 (15.270)
Epoch: [4][5400/7045]	Time 0.378 (0.258)	Data 0.326 (0.196)	Loss 5.0429 (5.0402)	Prec@1 3.906 (4.356)	Prec@5 15.234 (15.273)
Epoch: [4][5410/7045]	Time 0.170 (0.258)	Data 0.118 (0.196)	Loss 4.9659 (5.0402)	Prec@1 7.031 (4.356)	Prec@5 16.406 (15.273)
Epoch: [4][5420/7045]	Time 0.220 (0.258)	Data 0.170 (0.196)	Loss 4.9561 (5.0400)	Prec@1 3.516 (4.357)	Prec@5 15.234 (15.277)
Epoch: [4][5430/7045]	Time 0.215 (0.258)	Data 0.164 (0.196)	Loss 5.0441 (5.0400)	Prec@1 4.688 (4.357)	Prec@5 16.406 (15.278)
Epoch: [4][5440/7045]	Time 0.447 (0.258)	Data 0.395 (0.196)	Loss 5.0576 (5.0401)	Prec@1 3.906 (4.357)	Prec@5 15.234 (15.277)
Epoch: [4][5450/7045]	Time 0.106 (0.258)	Data 0.053 (0.196)	Loss 4.9516 (5.0400)	Prec@1 5.859 (4.357)	Prec@5 16.016 (15.276)
Epoch: [4][5460/7045]	Time 0.617 (0.258)	Data 0.565 (0.196)	Loss 5.0262 (5.0400)	Prec@1 2.344 (4.357)	Prec@5 15.625 (15.276)
Epoch: [4][5470/7045]	Time 0.111 (0.258)	Data 0.058 (0.196)	Loss 5.0490 (5.0399)	Prec@1 3.125 (4.358)	Prec@5 13.281 (15.278)
Epoch: [4][5480/7045]	Time 0.562 (0.258)	Data 0.504 (0.196)	Loss 4.9231 (5.0397)	Prec@1 4.688 (4.359)	Prec@5 17.578 (15.281)
Epoch: [4][5490/7045]	Time 0.160 (0.258)	Data 0.108 (0.196)	Loss 5.1781 (5.0396)	Prec@1 3.125 (4.359)	Prec@5 14.062 (15.285)
Epoch: [4][5500/7045]	Time 0.214 (0.258)	Data 0.156 (0.196)	Loss 5.0217 (5.0394)	Prec@1 2.734 (4.359)	Prec@5 17.188 (15.287)
Epoch: [4][5510/7045]	Time 0.425 (0.258)	Data 0.374 (0.196)	Loss 5.1885 (5.0394)	Prec@1 2.344 (4.359)	Prec@5 14.844 (15.287)
Epoch: [4][5520/7045]	Time 0.106 (0.258)	Data 0.054 (0.196)	Loss 4.9961 (5.0394)	Prec@1 5.469 (4.359)	Prec@5 15.625 (15.290)
Epoch: [4][5530/7045]	Time 0.427 (0.258)	Data 0.377 (0.196)	Loss 5.1716 (5.0395)	Prec@1 2.734 (4.359)	Prec@5 11.328 (15.288)
Epoch: [4][5540/7045]	Time 0.371 (0.258)	Data 0.320 (0.196)	Loss 5.0625 (5.0395)	Prec@1 2.734 (4.360)	Prec@5 16.016 (15.287)
Epoch: [4][5550/7045]	Time 0.326 (0.258)	Data 0.274 (0.196)	Loss 5.0515 (5.0395)	Prec@1 5.469 (4.358)	Prec@5 15.234 (15.285)
Epoch: [4][5560/7045]	Time 0.453 (0.258)	Data 0.401 (0.196)	Loss 4.9487 (5.0396)	Prec@1 5.469 (4.358)	Prec@5 16.406 (15.281)
Epoch: [4][5570/7045]	Time 0.199 (0.258)	Data 0.147 (0.196)	Loss 4.9782 (5.0398)	Prec@1 3.906 (4.357)	Prec@5 15.234 (15.281)
Epoch: [4][5580/7045]	Time 0.699 (0.258)	Data 0.648 (0.196)	Loss 4.9468 (5.0397)	Prec@1 4.297 (4.357)	Prec@5 16.797 (15.282)
Epoch: [4][5590/7045]	Time 0.098 (0.258)	Data 0.001 (0.196)	Loss 5.0747 (5.0398)	Prec@1 5.078 (4.357)	Prec@5 13.672 (15.282)
Epoch: [4][5600/7045]	Time 0.451 (0.258)	Data 0.400 (0.196)	Loss 5.0393 (5.0397)	Prec@1 5.469 (4.357)	Prec@5 15.234 (15.282)
Epoch: [4][5610/7045]	Time 0.269 (0.258)	Data 0.218 (0.196)	Loss 5.0927 (5.0397)	Prec@1 3.125 (4.357)	Prec@5 13.672 (15.281)
Epoch: [4][5620/7045]	Time 0.454 (0.258)	Data 0.403 (0.196)	Loss 4.9695 (5.0396)	Prec@1 2.344 (4.357)	Prec@5 14.844 (15.282)
Epoch: [4][5630/7045]	Time 0.164 (0.258)	Data 0.112 (0.196)	Loss 5.1421 (5.0395)	Prec@1 2.734 (4.357)	Prec@5 12.891 (15.282)
Epoch: [4][5640/7045]	Time 0.101 (0.258)	Data 0.008 (0.196)	Loss 5.1957 (5.0395)	Prec@1 2.734 (4.356)	Prec@5 13.281 (15.283)
Epoch: [4][5650/7045]	Time 0.101 (0.258)	Data 0.043 (0.196)	Loss 4.8858 (5.0394)	Prec@1 3.516 (4.357)	Prec@5 16.016 (15.285)
Epoch: [4][5660/7045]	Time 0.102 (0.258)	Data 0.001 (0.196)	Loss 4.9771 (5.0394)	Prec@1 5.078 (4.357)	Prec@5 15.625 (15.285)
Epoch: [4][5670/7045]	Time 0.239 (0.258)	Data 0.187 (0.196)	Loss 4.9733 (5.0393)	Prec@1 4.688 (4.358)	Prec@5 15.625 (15.287)
Epoch: [4][5680/7045]	Time 0.102 (0.258)	Data 0.001 (0.196)	Loss 4.9480 (5.0393)	Prec@1 5.469 (4.359)	Prec@5 16.016 (15.286)
Epoch: [4][5690/7045]	Time 0.573 (0.258)	Data 0.520 (0.196)	Loss 5.0778 (5.0394)	Prec@1 2.344 (4.357)	Prec@5 13.281 (15.284)
Epoch: [4][5700/7045]	Time 0.240 (0.258)	Data 0.188 (0.196)	Loss 5.0208 (5.0393)	Prec@1 4.297 (4.358)	Prec@5 15.234 (15.286)
Epoch: [4][5710/7045]	Time 0.353 (0.258)	Data 0.302 (0.196)	Loss 4.8767 (5.0392)	Prec@1 5.859 (4.359)	Prec@5 15.234 (15.288)
Epoch: [4][5720/7045]	Time 0.101 (0.258)	Data 0.002 (0.196)	Loss 4.8932 (5.0392)	Prec@1 4.297 (4.360)	Prec@5 18.750 (15.289)
Epoch: [4][5730/7045]	Time 0.102 (0.258)	Data 0.006 (0.196)	Loss 5.0914 (5.0392)	Prec@1 3.906 (4.360)	Prec@5 13.672 (15.289)
Epoch: [4][5740/7045]	Time 0.103 (0.258)	Data 0.052 (0.196)	Loss 5.2448 (5.0393)	Prec@1 3.125 (4.360)	Prec@5 9.766 (15.287)
Epoch: [4][5750/7045]	Time 0.100 (0.258)	Data 0.045 (0.196)	Loss 4.8869 (5.0392)	Prec@1 3.516 (4.360)	Prec@5 17.188 (15.288)
Epoch: [4][5760/7045]	Time 0.102 (0.258)	Data 0.001 (0.196)	Loss 5.0491 (5.0391)	Prec@1 6.250 (4.360)	Prec@5 14.844 (15.290)
Epoch: [4][5770/7045]	Time 0.212 (0.258)	Data 0.160 (0.196)	Loss 5.0048 (5.0391)	Prec@1 4.297 (4.361)	Prec@5 14.062 (15.290)
Epoch: [4][5780/7045]	Time 0.103 (0.258)	Data 0.001 (0.196)	Loss 4.8406 (5.0390)	Prec@1 4.297 (4.361)	Prec@5 15.625 (15.293)
Epoch: [4][5790/7045]	Time 0.227 (0.258)	Data 0.175 (0.196)	Loss 4.9401 (5.0390)	Prec@1 3.906 (4.361)	Prec@5 16.016 (15.292)
Epoch: [4][5800/7045]	Time 0.101 (0.258)	Data 0.001 (0.196)	Loss 4.9758 (5.0389)	Prec@1 5.859 (4.362)	Prec@5 17.188 (15.293)
Epoch: [4][5810/7045]	Time 0.100 (0.258)	Data 0.002 (0.196)	Loss 5.0225 (5.0388)	Prec@1 4.688 (4.362)	Prec@5 14.062 (15.294)
Epoch: [4][5820/7045]	Time 0.101 (0.258)	Data 0.003 (0.196)	Loss 5.0805 (5.0388)	Prec@1 1.953 (4.361)	Prec@5 13.281 (15.294)
Epoch: [4][5830/7045]	Time 0.107 (0.258)	Data 0.043 (0.196)	Loss 5.1107 (5.0387)	Prec@1 4.688 (4.360)	Prec@5 14.062 (15.295)
Epoch: [4][5840/7045]	Time 0.101 (0.258)	Data 0.001 (0.196)	Loss 5.0276 (5.0387)	Prec@1 5.859 (4.360)	Prec@5 14.062 (15.297)
Epoch: [4][5850/7045]	Time 0.110 (0.258)	Data 0.001 (0.196)	Loss 5.0493 (5.0388)	Prec@1 4.688 (4.359)	Prec@5 15.234 (15.295)
Epoch: [4][5860/7045]	Time 0.368 (0.258)	Data 0.317 (0.196)	Loss 5.0042 (5.0388)	Prec@1 7.031 (4.360)	Prec@5 15.625 (15.298)
Epoch: [4][5870/7045]	Time 0.409 (0.258)	Data 0.358 (0.196)	Loss 4.9428 (5.0388)	Prec@1 4.297 (4.360)	Prec@5 19.531 (15.297)
Epoch: [4][5880/7045]	Time 0.107 (0.258)	Data 0.002 (0.196)	Loss 4.9923 (5.0387)	Prec@1 5.859 (4.360)	Prec@5 14.844 (15.297)
Epoch: [4][5890/7045]	Time 0.286 (0.258)	Data 0.234 (0.196)	Loss 5.1207 (5.0387)	Prec@1 3.516 (4.359)	Prec@5 10.938 (15.296)
Epoch: [4][5900/7045]	Time 0.332 (0.258)	Data 0.281 (0.196)	Loss 5.1271 (5.0388)	Prec@1 2.734 (4.359)	Prec@5 13.672 (15.297)
Epoch: [4][5910/7045]	Time 0.410 (0.258)	Data 0.358 (0.196)	Loss 5.0737 (5.0387)	Prec@1 4.297 (4.358)	Prec@5 17.578 (15.296)
Epoch: [4][5920/7045]	Time 0.212 (0.258)	Data 0.160 (0.196)	Loss 4.9128 (5.0387)	Prec@1 2.734 (4.358)	Prec@5 15.234 (15.299)
Epoch: [4][5930/7045]	Time 0.107 (0.258)	Data 0.001 (0.196)	Loss 4.8842 (5.0386)	Prec@1 5.469 (4.359)	Prec@5 17.578 (15.301)
Epoch: [4][5940/7045]	Time 0.200 (0.258)	Data 0.148 (0.196)	Loss 4.8944 (5.0385)	Prec@1 5.469 (4.360)	Prec@5 16.016 (15.302)
Epoch: [4][5950/7045]	Time 0.249 (0.258)	Data 0.196 (0.196)	Loss 5.0272 (5.0383)	Prec@1 3.125 (4.362)	Prec@5 14.453 (15.307)
Epoch: [4][5960/7045]	Time 0.704 (0.258)	Data 0.652 (0.196)	Loss 5.0252 (5.0382)	Prec@1 5.469 (4.363)	Prec@5 15.625 (15.309)
Epoch: [4][5970/7045]	Time 0.132 (0.258)	Data 0.074 (0.196)	Loss 5.0361 (5.0381)	Prec@1 4.688 (4.364)	Prec@5 14.844 (15.310)
Epoch: [4][5980/7045]	Time 0.440 (0.258)	Data 0.387 (0.196)	Loss 4.9904 (5.0380)	Prec@1 3.125 (4.365)	Prec@5 16.797 (15.313)
Epoch: [4][5990/7045]	Time 0.112 (0.258)	Data 0.060 (0.196)	Loss 5.0186 (5.0379)	Prec@1 2.344 (4.365)	Prec@5 14.062 (15.315)
Epoch: [4][6000/7045]	Time 0.353 (0.258)	Data 0.302 (0.196)	Loss 5.0374 (5.0378)	Prec@1 4.688 (4.366)	Prec@5 15.625 (15.317)
Epoch: [4][6010/7045]	Time 0.383 (0.258)	Data 0.324 (0.196)	Loss 5.1881 (5.0378)	Prec@1 3.125 (4.366)	Prec@5 9.766 (15.318)
Epoch: [4][6020/7045]	Time 0.111 (0.258)	Data 0.059 (0.196)	Loss 5.1023 (5.0379)	Prec@1 3.906 (4.366)	Prec@5 16.406 (15.316)
Epoch: [4][6030/7045]	Time 0.641 (0.258)	Data 0.583 (0.196)	Loss 5.0253 (5.0380)	Prec@1 4.297 (4.366)	Prec@5 17.969 (15.317)
Epoch: [4][6040/7045]	Time 0.333 (0.258)	Data 0.276 (0.196)	Loss 5.0831 (5.0380)	Prec@1 3.516 (4.365)	Prec@5 14.844 (15.316)
Epoch: [4][6050/7045]	Time 0.350 (0.258)	Data 0.291 (0.196)	Loss 5.0726 (5.0381)	Prec@1 5.078 (4.365)	Prec@5 14.844 (15.316)
Epoch: [4][6060/7045]	Time 0.569 (0.258)	Data 0.519 (0.196)	Loss 5.0394 (5.0381)	Prec@1 3.516 (4.365)	Prec@5 14.453 (15.317)
Epoch: [4][6070/7045]	Time 0.102 (0.258)	Data 0.001 (0.196)	Loss 4.9917 (5.0380)	Prec@1 5.078 (4.365)	Prec@5 18.750 (15.320)
Epoch: [4][6080/7045]	Time 0.578 (0.258)	Data 0.525 (0.196)	Loss 4.9458 (5.0379)	Prec@1 7.031 (4.366)	Prec@5 17.969 (15.323)
Epoch: [4][6090/7045]	Time 0.102 (0.258)	Data 0.001 (0.196)	Loss 5.1233 (5.0378)	Prec@1 2.734 (4.365)	Prec@5 13.281 (15.323)
Epoch: [4][6100/7045]	Time 0.408 (0.258)	Data 0.357 (0.196)	Loss 4.9957 (5.0377)	Prec@1 3.906 (4.366)	Prec@5 16.406 (15.325)
Epoch: [4][6110/7045]	Time 0.158 (0.258)	Data 0.105 (0.196)	Loss 5.0762 (5.0377)	Prec@1 3.906 (4.366)	Prec@5 14.844 (15.324)
Epoch: [4][6120/7045]	Time 0.319 (0.258)	Data 0.261 (0.196)	Loss 5.0328 (5.0376)	Prec@1 5.078 (4.366)	Prec@5 16.016 (15.326)
Epoch: [4][6130/7045]	Time 0.317 (0.258)	Data 0.265 (0.196)	Loss 4.9174 (5.0375)	Prec@1 5.859 (4.367)	Prec@5 18.750 (15.329)
Epoch: [4][6140/7045]	Time 0.244 (0.258)	Data 0.192 (0.196)	Loss 5.1653 (5.0375)	Prec@1 3.906 (4.367)	Prec@5 12.891 (15.330)
Epoch: [4][6150/7045]	Time 0.139 (0.258)	Data 0.086 (0.196)	Loss 4.9871 (5.0375)	Prec@1 5.859 (4.367)	Prec@5 18.359 (15.330)
Epoch: [4][6160/7045]	Time 0.141 (0.258)	Data 0.090 (0.196)	Loss 5.0719 (5.0374)	Prec@1 5.469 (4.369)	Prec@5 14.844 (15.332)
Epoch: [4][6170/7045]	Time 0.205 (0.258)	Data 0.153 (0.196)	Loss 4.9499 (5.0373)	Prec@1 5.859 (4.371)	Prec@5 17.188 (15.334)
Epoch: [4][6180/7045]	Time 0.102 (0.258)	Data 0.017 (0.196)	Loss 5.0749 (5.0373)	Prec@1 2.344 (4.369)	Prec@5 12.109 (15.334)
Epoch: [4][6190/7045]	Time 0.380 (0.258)	Data 0.328 (0.196)	Loss 4.8376 (5.0370)	Prec@1 3.516 (4.370)	Prec@5 16.016 (15.337)
Epoch: [4][6200/7045]	Time 0.110 (0.258)	Data 0.010 (0.196)	Loss 4.9020 (5.0369)	Prec@1 4.297 (4.370)	Prec@5 19.531 (15.339)
Epoch: [4][6210/7045]	Time 0.111 (0.258)	Data 0.059 (0.196)	Loss 5.0470 (5.0369)	Prec@1 4.297 (4.371)	Prec@5 13.281 (15.340)
Epoch: [4][6220/7045]	Time 0.157 (0.258)	Data 0.097 (0.196)	Loss 5.0336 (5.0368)	Prec@1 5.078 (4.371)	Prec@5 17.969 (15.341)
Epoch: [4][6230/7045]	Time 0.101 (0.258)	Data 0.005 (0.196)	Loss 4.9571 (5.0369)	Prec@1 3.125 (4.371)	Prec@5 17.578 (15.343)
Epoch: [4][6240/7045]	Time 0.160 (0.258)	Data 0.109 (0.196)	Loss 5.0990 (5.0368)	Prec@1 5.469 (4.372)	Prec@5 14.453 (15.344)
Epoch: [4][6250/7045]	Time 0.104 (0.258)	Data 0.052 (0.196)	Loss 5.2066 (5.0369)	Prec@1 2.734 (4.371)	Prec@5 13.672 (15.342)
Epoch: [4][6260/7045]	Time 0.159 (0.258)	Data 0.108 (0.196)	Loss 5.0685 (5.0370)	Prec@1 2.344 (4.370)	Prec@5 13.672 (15.341)
Epoch: [4][6270/7045]	Time 0.102 (0.258)	Data 0.003 (0.196)	Loss 5.0605 (5.0372)	Prec@1 3.906 (4.369)	Prec@5 11.328 (15.337)
Epoch: [4][6280/7045]	Time 0.178 (0.258)	Data 0.126 (0.196)	Loss 4.9819 (5.0372)	Prec@1 5.859 (4.369)	Prec@5 15.625 (15.337)
Epoch: [4][6290/7045]	Time 0.202 (0.258)	Data 0.150 (0.196)	Loss 5.0952 (5.0372)	Prec@1 4.688 (4.370)	Prec@5 14.453 (15.338)
Epoch: [4][6300/7045]	Time 0.102 (0.258)	Data 0.010 (0.196)	Loss 5.0438 (5.0373)	Prec@1 6.250 (4.370)	Prec@5 17.578 (15.336)
Epoch: [4][6310/7045]	Time 0.405 (0.258)	Data 0.353 (0.196)	Loss 4.8624 (5.0373)	Prec@1 5.469 (4.370)	Prec@5 19.922 (15.336)
Epoch: [4][6320/7045]	Time 0.258 (0.258)	Data 0.207 (0.196)	Loss 4.9710 (5.0372)	Prec@1 5.078 (4.370)	Prec@5 16.797 (15.337)
Epoch: [4][6330/7045]	Time 0.252 (0.258)	Data 0.200 (0.196)	Loss 4.9713 (5.0372)	Prec@1 6.250 (4.370)	Prec@5 16.406 (15.337)
Epoch: [4][6340/7045]	Time 0.360 (0.258)	Data 0.309 (0.196)	Loss 4.9204 (5.0372)	Prec@1 5.469 (4.371)	Prec@5 15.625 (15.337)
Epoch: [4][6350/7045]	Time 0.548 (0.258)	Data 0.496 (0.196)	Loss 4.9410 (5.0371)	Prec@1 5.078 (4.372)	Prec@5 16.797 (15.338)
Epoch: [4][6360/7045]	Time 0.401 (0.258)	Data 0.350 (0.196)	Loss 5.0129 (5.0372)	Prec@1 4.688 (4.371)	Prec@5 16.797 (15.337)
Epoch: [4][6370/7045]	Time 0.386 (0.258)	Data 0.335 (0.196)	Loss 4.8667 (5.0372)	Prec@1 3.906 (4.370)	Prec@5 18.750 (15.336)
Epoch: [4][6380/7045]	Time 0.116 (0.258)	Data 0.057 (0.196)	Loss 5.1052 (5.0372)	Prec@1 3.906 (4.370)	Prec@5 14.062 (15.336)
Epoch: [4][6390/7045]	Time 0.531 (0.258)	Data 0.481 (0.196)	Loss 5.2494 (5.0373)	Prec@1 2.344 (4.369)	Prec@5 12.109 (15.336)
Epoch: [4][6400/7045]	Time 0.149 (0.258)	Data 0.098 (0.196)	Loss 4.9699 (5.0374)	Prec@1 5.469 (4.369)	Prec@5 16.797 (15.335)
Epoch: [4][6410/7045]	Time 0.335 (0.258)	Data 0.283 (0.196)	Loss 5.0959 (5.0374)	Prec@1 4.297 (4.369)	Prec@5 13.281 (15.336)
Epoch: [4][6420/7045]	Time 0.392 (0.258)	Data 0.341 (0.196)	Loss 5.1170 (5.0374)	Prec@1 3.516 (4.369)	Prec@5 15.625 (15.335)
Epoch: [4][6430/7045]	Time 0.241 (0.258)	Data 0.183 (0.196)	Loss 4.8219 (5.0374)	Prec@1 5.469 (4.370)	Prec@5 15.234 (15.335)
Epoch: [4][6440/7045]	Time 0.425 (0.258)	Data 0.372 (0.196)	Loss 5.0966 (5.0374)	Prec@1 3.516 (4.370)	Prec@5 19.531 (15.338)
Epoch: [4][6450/7045]	Time 0.112 (0.258)	Data 0.060 (0.196)	Loss 5.0805 (5.0375)	Prec@1 3.906 (4.370)	Prec@5 18.359 (15.337)
Epoch: [4][6460/7045]	Time 0.162 (0.258)	Data 0.111 (0.196)	Loss 5.0415 (5.0374)	Prec@1 5.469 (4.370)	Prec@5 15.234 (15.338)
Epoch: [4][6470/7045]	Time 0.238 (0.258)	Data 0.184 (0.196)	Loss 5.0961 (5.0375)	Prec@1 4.688 (4.371)	Prec@5 12.891 (15.338)
Epoch: [4][6480/7045]	Time 0.148 (0.258)	Data 0.095 (0.196)	Loss 5.0271 (5.0374)	Prec@1 4.297 (4.371)	Prec@5 17.969 (15.339)
Epoch: [4][6490/7045]	Time 0.110 (0.258)	Data 0.059 (0.196)	Loss 4.8827 (5.0374)	Prec@1 4.688 (4.372)	Prec@5 19.531 (15.340)
Epoch: [4][6500/7045]	Time 0.494 (0.258)	Data 0.443 (0.196)	Loss 4.9076 (5.0373)	Prec@1 4.688 (4.371)	Prec@5 18.750 (15.341)
Epoch: [4][6510/7045]	Time 0.109 (0.258)	Data 0.001 (0.196)	Loss 5.0199 (5.0374)	Prec@1 4.297 (4.371)	Prec@5 15.234 (15.340)
Epoch: [4][6520/7045]	Time 0.354 (0.258)	Data 0.303 (0.196)	Loss 5.0888 (5.0374)	Prec@1 4.297 (4.371)	Prec@5 16.016 (15.341)
Epoch: [4][6530/7045]	Time 0.423 (0.258)	Data 0.372 (0.196)	Loss 4.9680 (5.0374)	Prec@1 3.125 (4.371)	Prec@5 14.453 (15.342)
Epoch: [4][6540/7045]	Time 0.184 (0.258)	Data 0.130 (0.196)	Loss 4.9328 (5.0373)	Prec@1 4.297 (4.371)	Prec@5 17.969 (15.344)
Epoch: [4][6550/7045]	Time 0.384 (0.258)	Data 0.328 (0.196)	Loss 5.0613 (5.0373)	Prec@1 2.734 (4.372)	Prec@5 11.328 (15.343)
Epoch: [4][6560/7045]	Time 0.169 (0.258)	Data 0.110 (0.196)	Loss 5.0180 (5.0373)	Prec@1 6.250 (4.374)	Prec@5 17.188 (15.345)
Epoch: [4][6570/7045]	Time 0.466 (0.258)	Data 0.415 (0.196)	Loss 4.9579 (5.0372)	Prec@1 2.344 (4.374)	Prec@5 17.188 (15.344)
Epoch: [4][6580/7045]	Time 0.101 (0.258)	Data 0.001 (0.196)	Loss 5.0668 (5.0372)	Prec@1 5.469 (4.374)	Prec@5 16.406 (15.345)
Epoch: [4][6590/7045]	Time 0.398 (0.258)	Data 0.347 (0.196)	Loss 5.1069 (5.0372)	Prec@1 3.906 (4.374)	Prec@5 14.453 (15.345)
Epoch: [4][6600/7045]	Time 0.128 (0.258)	Data 0.075 (0.196)	Loss 5.0861 (5.0373)	Prec@1 3.516 (4.374)	Prec@5 15.625 (15.345)
Epoch: [4][6610/7045]	Time 0.413 (0.258)	Data 0.362 (0.196)	Loss 4.9709 (5.0373)	Prec@1 4.688 (4.374)	Prec@5 14.844 (15.345)
Epoch: [4][6620/7045]	Time 0.101 (0.258)	Data 0.008 (0.196)	Loss 4.9531 (5.0373)	Prec@1 4.297 (4.375)	Prec@5 16.406 (15.347)
Epoch: [4][6630/7045]	Time 0.102 (0.258)	Data 0.001 (0.196)	Loss 5.1095 (5.0373)	Prec@1 4.297 (4.375)	Prec@5 16.797 (15.347)
Epoch: [4][6640/7045]	Time 0.322 (0.258)	Data 0.270 (0.196)	Loss 5.0290 (5.0373)	Prec@1 5.078 (4.375)	Prec@5 17.969 (15.347)
Epoch: [4][6650/7045]	Time 0.212 (0.258)	Data 0.161 (0.196)	Loss 4.9413 (5.0372)	Prec@1 5.859 (4.375)	Prec@5 16.016 (15.348)
Epoch: [4][6660/7045]	Time 0.119 (0.258)	Data 0.060 (0.196)	Loss 5.0199 (5.0371)	Prec@1 4.688 (4.375)	Prec@5 15.234 (15.349)
Epoch: [4][6670/7045]	Time 0.545 (0.258)	Data 0.493 (0.196)	Loss 5.0218 (5.0370)	Prec@1 6.250 (4.376)	Prec@5 18.359 (15.351)
Epoch: [4][6680/7045]	Time 0.102 (0.258)	Data 0.001 (0.196)	Loss 5.0212 (5.0371)	Prec@1 4.297 (4.376)	Prec@5 16.797 (15.351)
Epoch: [4][6690/7045]	Time 0.373 (0.258)	Data 0.320 (0.196)	Loss 5.0803 (5.0371)	Prec@1 3.125 (4.376)	Prec@5 10.938 (15.351)
Epoch: [4][6700/7045]	Time 0.124 (0.258)	Data 0.073 (0.196)	Loss 4.8766 (5.0370)	Prec@1 4.688 (4.377)	Prec@5 16.406 (15.352)
Epoch: [4][6710/7045]	Time 0.243 (0.258)	Data 0.193 (0.196)	Loss 5.0282 (5.0370)	Prec@1 3.125 (4.379)	Prec@5 12.891 (15.354)
Epoch: [4][6720/7045]	Time 0.229 (0.258)	Data 0.179 (0.196)	Loss 5.0169 (5.0369)	Prec@1 3.125 (4.380)	Prec@5 16.016 (15.356)
Epoch: [4][6730/7045]	Time 0.378 (0.258)	Data 0.328 (0.196)	Loss 5.0948 (5.0369)	Prec@1 3.516 (4.379)	Prec@5 12.891 (15.355)
Epoch: [4][6740/7045]	Time 0.358 (0.258)	Data 0.307 (0.196)	Loss 4.9257 (5.0368)	Prec@1 6.250 (4.380)	Prec@5 17.578 (15.357)
Epoch: [4][6750/7045]	Time 0.263 (0.258)	Data 0.211 (0.196)	Loss 5.1149 (5.0367)	Prec@1 3.516 (4.381)	Prec@5 17.969 (15.359)
Epoch: [4][6760/7045]	Time 0.526 (0.258)	Data 0.474 (0.196)	Loss 5.0309 (5.0368)	Prec@1 2.734 (4.381)	Prec@5 12.109 (15.358)
Epoch: [4][6770/7045]	Time 0.250 (0.258)	Data 0.197 (0.196)	Loss 5.0442 (5.0368)	Prec@1 4.297 (4.381)	Prec@5 17.578 (15.360)
Epoch: [4][6780/7045]	Time 0.467 (0.258)	Data 0.415 (0.196)	Loss 5.0320 (5.0367)	Prec@1 1.562 (4.381)	Prec@5 15.625 (15.361)
Epoch: [4][6790/7045]	Time 0.174 (0.258)	Data 0.122 (0.196)	Loss 4.9643 (5.0368)	Prec@1 2.734 (4.381)	Prec@5 16.797 (15.362)
Epoch: [4][6800/7045]	Time 0.306 (0.258)	Data 0.256 (0.196)	Loss 5.0385 (5.0367)	Prec@1 6.250 (4.382)	Prec@5 16.797 (15.364)
Epoch: [4][6810/7045]	Time 0.100 (0.258)	Data 0.043 (0.196)	Loss 4.9610 (5.0367)	Prec@1 3.906 (4.382)	Prec@5 16.016 (15.364)
Epoch: [4][6820/7045]	Time 0.393 (0.258)	Data 0.341 (0.196)	Loss 5.0400 (5.0366)	Prec@1 5.078 (4.382)	Prec@5 14.062 (15.366)
Epoch: [4][6830/7045]	Time 0.113 (0.258)	Data 0.061 (0.196)	Loss 5.1085 (5.0367)	Prec@1 4.688 (4.382)	Prec@5 16.016 (15.365)
Epoch: [4][6840/7045]	Time 0.488 (0.258)	Data 0.437 (0.196)	Loss 5.0633 (5.0367)	Prec@1 5.859 (4.383)	Prec@5 17.969 (15.365)
Epoch: [4][6850/7045]	Time 0.305 (0.258)	Data 0.254 (0.196)	Loss 5.1454 (5.0368)	Prec@1 2.734 (4.382)	Prec@5 9.766 (15.362)
Epoch: [4][6860/7045]	Time 0.566 (0.258)	Data 0.515 (0.196)	Loss 5.0493 (5.0368)	Prec@1 3.125 (4.381)	Prec@5 17.969 (15.363)
Epoch: [4][6870/7045]	Time 0.158 (0.258)	Data 0.107 (0.196)	Loss 5.0343 (5.0368)	Prec@1 3.516 (4.381)	Prec@5 11.328 (15.363)
Epoch: [4][6880/7045]	Time 0.512 (0.258)	Data 0.460 (0.196)	Loss 5.0325 (5.0368)	Prec@1 2.734 (4.380)	Prec@5 16.016 (15.360)
Epoch: [4][6890/7045]	Time 0.148 (0.258)	Data 0.097 (0.196)	Loss 5.0736 (5.0370)	Prec@1 2.344 (4.379)	Prec@5 11.328 (15.357)
Epoch: [4][6900/7045]	Time 0.442 (0.258)	Data 0.391 (0.196)	Loss 5.2093 (5.0371)	Prec@1 5.469 (4.381)	Prec@5 12.891 (15.356)
Epoch: [4][6910/7045]	Time 0.102 (0.258)	Data 0.001 (0.196)	Loss 5.1712 (5.0372)	Prec@1 1.953 (4.380)	Prec@5 10.156 (15.353)
Epoch: [4][6920/7045]	Time 0.242 (0.258)	Data 0.191 (0.196)	Loss 4.8508 (5.0372)	Prec@1 3.906 (4.380)	Prec@5 16.016 (15.353)
Epoch: [4][6930/7045]	Time 0.281 (0.258)	Data 0.230 (0.196)	Loss 5.0798 (5.0372)	Prec@1 4.688 (4.382)	Prec@5 15.625 (15.355)
Epoch: [4][6940/7045]	Time 0.430 (0.258)	Data 0.378 (0.196)	Loss 5.0462 (5.0372)	Prec@1 3.125 (4.382)	Prec@5 19.141 (15.355)
Epoch: [4][6950/7045]	Time 0.266 (0.258)	Data 0.213 (0.196)	Loss 5.0341 (5.0373)	Prec@1 5.078 (4.381)	Prec@5 16.406 (15.355)
Epoch: [4][6960/7045]	Time 0.387 (0.258)	Data 0.336 (0.196)	Loss 4.9875 (5.0373)	Prec@1 2.734 (4.382)	Prec@5 14.453 (15.354)
Epoch: [4][6970/7045]	Time 0.105 (0.258)	Data 0.052 (0.196)	Loss 5.0099 (5.0373)	Prec@1 7.812 (4.382)	Prec@5 17.188 (15.355)
Epoch: [4][6980/7045]	Time 0.597 (0.258)	Data 0.537 (0.196)	Loss 5.1766 (5.0373)	Prec@1 1.562 (4.382)	Prec@5 13.672 (15.354)
Epoch: [4][6990/7045]	Time 0.107 (0.258)	Data 0.055 (0.196)	Loss 5.0834 (5.0374)	Prec@1 5.469 (4.381)	Prec@5 17.578 (15.354)
Epoch: [4][7000/7045]	Time 0.339 (0.258)	Data 0.287 (0.196)	Loss 5.1299 (5.0374)	Prec@1 3.516 (4.380)	Prec@5 11.719 (15.353)
Epoch: [4][7010/7045]	Time 0.102 (0.258)	Data 0.003 (0.196)	Loss 5.1052 (5.0374)	Prec@1 3.125 (4.380)	Prec@5 14.453 (15.353)
Epoch: [4][7020/7045]	Time 0.458 (0.258)	Data 0.407 (0.196)	Loss 5.1256 (5.0374)	Prec@1 3.516 (4.380)	Prec@5 11.719 (15.352)
Epoch: [4][7030/7045]	Time 0.255 (0.258)	Data 0.204 (0.196)	Loss 4.9314 (5.0375)	Prec@1 5.469 (4.381)	Prec@5 15.625 (15.352)
Epoch: [4][7040/7045]	Time 0.524 (0.258)	Data 0.472 (0.196)	Loss 5.0528 (5.0374)	Prec@1 3.906 (4.381)	Prec@5 16.797 (15.353)
Test: [0/143]	Time 1.343 (1.343)	Loss 4.6996 (4.6996)	Prec@1 7.422 (7.422)	Prec@5 25.781 (25.781)
Test: [10/143]	Time 0.110 (0.251)	Loss 4.6550 (4.9274)	Prec@1 7.422 (4.474)	Prec@5 29.297 (17.223)
Test: [20/143]	Time 0.464 (0.228)	Loss 5.1411 (4.9236)	Prec@1 0.391 (4.390)	Prec@5 7.422 (17.653)
Test: [30/143]	Time 0.049 (0.215)	Loss 4.8794 (4.9320)	Prec@1 8.984 (4.851)	Prec@5 24.609 (17.578)
Test: [40/143]	Time 0.377 (0.210)	Loss 5.0132 (4.9176)	Prec@1 0.781 (5.135)	Prec@5 4.688 (17.988)
Test: [50/143]	Time 0.216 (0.203)	Loss 4.6750 (4.9016)	Prec@1 6.250 (4.864)	Prec@5 24.609 (17.808)
Test: [60/143]	Time 0.140 (0.199)	Loss 5.2965 (4.8728)	Prec@1 0.000 (5.353)	Prec@5 7.031 (18.884)
Test: [70/143]	Time 0.048 (0.203)	Loss 5.1983 (4.8803)	Prec@1 0.781 (5.375)	Prec@5 11.719 (18.778)
Test: [80/143]	Time 0.130 (0.197)	Loss 4.7435 (4.8852)	Prec@1 2.344 (5.199)	Prec@5 19.531 (18.682)
Test: [90/143]	Time 0.256 (0.199)	Loss 4.7059 (4.8804)	Prec@1 7.031 (5.246)	Prec@5 25.391 (18.973)
Test: [100/143]	Time 0.328 (0.199)	Loss 4.5952 (4.8708)	Prec@1 6.250 (5.372)	Prec@5 35.156 (19.469)
Test: [110/143]	Time 0.112 (0.198)	Loss 4.5818 (4.8693)	Prec@1 15.234 (5.571)	Prec@5 27.734 (19.471)
Test: [120/143]	Time 0.206 (0.199)	Loss 4.9860 (4.8639)	Prec@1 7.031 (5.959)	Prec@5 19.531 (19.754)
Test: [130/143]	Time 0.165 (0.197)	Loss 4.8693 (4.8646)	Prec@1 5.859 (6.011)	Prec@5 24.609 (19.800)
Test: [140/143]	Time 0.299 (0.197)	Loss 5.3102 (4.8748)	Prec@1 0.391 (5.884)	Prec@5 1.562 (19.429)
 * Prec@1 5.921 Prec@5 19.460
Epoch: [5][0/7045]	Time 2.317 (2.317)	Data 2.259 (2.259)	Loss 4.9811 (4.9811)	Prec@1 4.688 (4.688)	Prec@5 19.922 (19.922)
Epoch: [5][10/7045]	Time 0.099 (0.418)	Data 0.008 (0.346)	Loss 4.9739 (5.0449)	Prec@1 4.688 (4.936)	Prec@5 14.453 (15.696)
Epoch: [5][20/7045]	Time 0.615 (0.354)	Data 0.565 (0.285)	Loss 5.0619 (5.0052)	Prec@1 6.641 (4.836)	Prec@5 15.625 (15.941)
Epoch: [5][30/7045]	Time 0.317 (0.318)	Data 0.267 (0.248)	Loss 4.9324 (4.9789)	Prec@1 5.469 (4.675)	Prec@5 17.578 (16.154)
Epoch: [5][40/7045]	Time 0.101 (0.306)	Data 0.001 (0.237)	Loss 4.9378 (4.9900)	Prec@1 8.594 (4.602)	Prec@5 19.141 (15.997)
Epoch: [5][50/7045]	Time 0.768 (0.302)	Data 0.716 (0.231)	Loss 4.9356 (4.9835)	Prec@1 4.688 (4.665)	Prec@5 16.797 (16.276)
Epoch: [5][60/7045]	Time 0.237 (0.290)	Data 0.187 (0.220)	Loss 5.1069 (4.9834)	Prec@1 3.125 (4.707)	Prec@5 14.844 (16.310)
Epoch: [5][70/7045]	Time 0.134 (0.284)	Data 0.083 (0.216)	Loss 4.9367 (4.9833)	Prec@1 4.688 (4.759)	Prec@5 17.188 (16.214)
Epoch: [5][80/7045]	Time 0.712 (0.285)	Data 0.661 (0.217)	Loss 5.0086 (4.9968)	Prec@1 4.688 (4.688)	Prec@5 14.453 (15.982)
Epoch: [5][90/7045]	Time 0.128 (0.278)	Data 0.077 (0.209)	Loss 5.1644 (5.0012)	Prec@1 6.250 (4.675)	Prec@5 14.062 (16.050)
Epoch: [5][100/7045]	Time 0.220 (0.277)	Data 0.169 (0.208)	Loss 4.9773 (4.9988)	Prec@1 5.078 (4.680)	Prec@5 18.750 (16.101)
Epoch: [5][110/7045]	Time 0.707 (0.278)	Data 0.648 (0.209)	Loss 5.0161 (4.9953)	Prec@1 6.250 (4.733)	Prec@5 14.844 (16.149)
Epoch: [5][120/7045]	Time 0.107 (0.274)	Data 0.001 (0.204)	Loss 4.9672 (4.9963)	Prec@1 5.469 (4.749)	Prec@5 17.578 (16.135)
Epoch: [5][130/7045]	Time 0.342 (0.272)	Data 0.290 (0.204)	Loss 5.0904 (4.9972)	Prec@1 5.859 (4.747)	Prec@5 14.844 (16.165)
Epoch: [5][140/7045]	Time 0.396 (0.271)	Data 0.346 (0.204)	Loss 5.0341 (4.9973)	Prec@1 5.469 (4.704)	Prec@5 19.141 (16.232)
Epoch: [5][150/7045]	Time 0.109 (0.270)	Data 0.001 (0.203)	Loss 5.0128 (4.9970)	Prec@1 3.516 (4.711)	Prec@5 17.578 (16.168)
Epoch: [5][160/7045]	Time 0.542 (0.271)	Data 0.490 (0.204)	Loss 4.9923 (5.0015)	Prec@1 5.469 (4.668)	Prec@5 13.281 (16.084)
Epoch: [5][170/7045]	Time 0.369 (0.269)	Data 0.319 (0.203)	Loss 4.9214 (5.0012)	Prec@1 4.297 (4.669)	Prec@5 14.453 (16.034)
Epoch: [5][180/7045]	Time 0.315 (0.268)	Data 0.258 (0.202)	Loss 5.0678 (5.0008)	Prec@1 4.688 (4.642)	Prec@5 14.453 (16.013)
Epoch: [5][190/7045]	Time 0.574 (0.268)	Data 0.521 (0.202)	Loss 5.0220 (4.9995)	Prec@1 3.906 (4.649)	Prec@5 14.062 (16.016)
Epoch: [5][200/7045]	Time 0.325 (0.266)	Data 0.275 (0.200)	Loss 5.1729 (5.0012)	Prec@1 2.734 (4.639)	Prec@5 10.547 (15.942)
Epoch: [5][210/7045]	Time 0.276 (0.266)	Data 0.226 (0.200)	Loss 4.9977 (4.9993)	Prec@1 3.906 (4.639)	Prec@5 17.578 (15.962)
Epoch: [5][220/7045]	Time 0.290 (0.265)	Data 0.239 (0.199)	Loss 4.9307 (4.9994)	Prec@1 3.906 (4.617)	Prec@5 17.969 (15.993)
Epoch: [5][230/7045]	Time 0.123 (0.265)	Data 0.062 (0.199)	Loss 5.1536 (5.0000)	Prec@1 1.172 (4.589)	Prec@5 7.812 (15.955)
Epoch: [5][240/7045]	Time 0.426 (0.264)	Data 0.376 (0.198)	Loss 5.1009 (5.0013)	Prec@1 5.078 (4.584)	Prec@5 13.672 (15.964)
Epoch: [5][250/7045]	Time 0.102 (0.264)	Data 0.049 (0.198)	Loss 5.0554 (5.0026)	Prec@1 4.297 (4.583)	Prec@5 14.062 (15.894)
Epoch: [5][260/7045]	Time 0.611 (0.264)	Data 0.560 (0.198)	Loss 5.0195 (5.0020)	Prec@1 3.516 (4.562)	Prec@5 14.844 (15.888)
Epoch: [5][270/7045]	Time 0.111 (0.263)	Data 0.060 (0.196)	Loss 4.9980 (5.0050)	Prec@1 4.688 (4.552)	Prec@5 11.719 (15.859)
Epoch: [5][280/7045]	Time 0.206 (0.263)	Data 0.156 (0.197)	Loss 4.8808 (5.0054)	Prec@1 5.078 (4.561)	Prec@5 16.406 (15.831)
Epoch: [5][290/7045]	Time 0.476 (0.264)	Data 0.417 (0.198)	Loss 4.9595 (5.0043)	Prec@1 5.078 (4.561)	Prec@5 16.016 (15.821)
Epoch: [5][300/7045]	Time 0.201 (0.263)	Data 0.148 (0.197)	Loss 5.0554 (5.0049)	Prec@1 5.859 (4.555)	Prec@5 17.188 (15.805)
Epoch: [5][310/7045]	Time 0.641 (0.264)	Data 0.589 (0.198)	Loss 5.0576 (5.0044)	Prec@1 5.078 (4.579)	Prec@5 15.625 (15.821)
Epoch: [5][320/7045]	Time 0.115 (0.262)	Data 0.063 (0.197)	Loss 5.1900 (5.0065)	Prec@1 2.734 (4.563)	Prec@5 12.500 (15.780)
Epoch: [5][330/7045]	Time 0.265 (0.263)	Data 0.213 (0.197)	Loss 5.1940 (5.0112)	Prec@1 3.906 (4.552)	Prec@5 14.062 (15.721)
Epoch: [5][340/7045]	Time 0.102 (0.263)	Data 0.001 (0.197)	Loss 4.9813 (5.0129)	Prec@1 3.906 (4.541)	Prec@5 14.062 (15.689)
Epoch: [5][350/7045]	Time 0.396 (0.263)	Data 0.335 (0.197)	Loss 5.0742 (5.0127)	Prec@1 3.516 (4.541)	Prec@5 17.969 (15.694)
Epoch: [5][360/7045]	Time 0.275 (0.262)	Data 0.225 (0.196)	Loss 5.0194 (5.0121)	Prec@1 5.859 (4.557)	Prec@5 19.531 (15.732)
Epoch: [5][370/7045]	Time 0.101 (0.262)	Data 0.001 (0.197)	Loss 4.9765 (5.0107)	Prec@1 3.906 (4.550)	Prec@5 15.625 (15.730)
Epoch: [5][380/7045]	Time 0.167 (0.261)	Data 0.117 (0.196)	Loss 5.0659 (5.0111)	Prec@1 3.516 (4.547)	Prec@5 11.328 (15.710)
Epoch: [5][390/7045]	Time 0.801 (0.262)	Data 0.742 (0.197)	Loss 5.2241 (5.0122)	Prec@1 4.688 (4.545)	Prec@5 14.062 (15.705)
Epoch: [5][400/7045]	Time 0.102 (0.261)	Data 0.009 (0.196)	Loss 4.9463 (5.0107)	Prec@1 5.469 (4.552)	Prec@5 17.969 (15.740)
Epoch: [5][410/7045]	Time 0.189 (0.261)	Data 0.138 (0.196)	Loss 4.9532 (5.0104)	Prec@1 5.859 (4.561)	Prec@5 16.406 (15.764)
Epoch: [5][420/7045]	Time 0.499 (0.261)	Data 0.446 (0.196)	Loss 4.9512 (5.0105)	Prec@1 5.078 (4.579)	Prec@5 14.844 (15.783)
Epoch: [5][430/7045]	Time 0.110 (0.261)	Data 0.059 (0.196)	Loss 4.9912 (5.0103)	Prec@1 3.906 (4.574)	Prec@5 18.750 (15.818)
Epoch: [5][440/7045]	Time 0.186 (0.261)	Data 0.134 (0.196)	Loss 5.1403 (5.0103)	Prec@1 2.734 (4.563)	Prec@5 12.891 (15.812)
Epoch: [5][450/7045]	Time 0.380 (0.261)	Data 0.330 (0.196)	Loss 5.0612 (5.0118)	Prec@1 3.516 (4.546)	Prec@5 14.062 (15.785)
Epoch: [5][460/7045]	Time 0.180 (0.261)	Data 0.130 (0.196)	Loss 5.0577 (5.0119)	Prec@1 3.516 (4.539)	Prec@5 12.500 (15.779)
Epoch: [5][470/7045]	Time 0.411 (0.261)	Data 0.358 (0.196)	Loss 5.0152 (5.0111)	Prec@1 3.906 (4.534)	Prec@5 15.234 (15.785)
Epoch: [5][480/7045]	Time 0.164 (0.260)	Data 0.112 (0.196)	Loss 5.1116 (5.0121)	Prec@1 4.297 (4.526)	Prec@5 14.453 (15.781)
Epoch: [5][490/7045]	Time 0.174 (0.261)	Data 0.116 (0.196)	Loss 5.0529 (5.0140)	Prec@1 5.078 (4.514)	Prec@5 19.141 (15.734)
Epoch: [5][500/7045]	Time 0.102 (0.260)	Data 0.001 (0.195)	Loss 5.1303 (5.0154)	Prec@1 2.734 (4.511)	Prec@5 15.234 (15.714)
Epoch: [5][510/7045]	Time 0.101 (0.260)	Data 0.045 (0.195)	Loss 5.0124 (5.0168)	Prec@1 3.906 (4.509)	Prec@5 13.672 (15.683)
Epoch: [5][520/7045]	Time 0.101 (0.259)	Data 0.011 (0.194)	Loss 4.9909 (5.0179)	Prec@1 4.297 (4.499)	Prec@5 14.062 (15.676)
Epoch: [5][530/7045]	Time 0.133 (0.259)	Data 0.082 (0.194)	Loss 5.0769 (5.0181)	Prec@1 5.078 (4.494)	Prec@5 16.406 (15.685)
Epoch: [5][540/7045]	Time 0.101 (0.260)	Data 0.016 (0.195)	Loss 5.1893 (5.0180)	Prec@1 3.516 (4.501)	Prec@5 13.281 (15.695)
Epoch: [5][550/7045]	Time 0.104 (0.259)	Data 0.052 (0.194)	Loss 4.8852 (5.0176)	Prec@1 5.469 (4.498)	Prec@5 19.922 (15.704)
Epoch: [5][560/7045]	Time 0.151 (0.259)	Data 0.100 (0.194)	Loss 5.1069 (5.0165)	Prec@1 5.078 (4.512)	Prec@5 17.188 (15.720)
Epoch: [5][570/7045]	Time 0.539 (0.260)	Data 0.488 (0.194)	Loss 5.1817 (5.0180)	Prec@1 3.906 (4.508)	Prec@5 14.844 (15.716)
Epoch: [5][580/7045]	Time 0.349 (0.259)	Data 0.291 (0.194)	Loss 5.0829 (5.0186)	Prec@1 4.688 (4.500)	Prec@5 14.844 (15.708)
Epoch: [5][590/7045]	Time 0.152 (0.259)	Data 0.101 (0.194)	Loss 4.8781 (5.0185)	Prec@1 5.469 (4.496)	Prec@5 19.922 (15.705)
Epoch: [5][600/7045]	Time 0.543 (0.259)	Data 0.492 (0.194)	Loss 4.8473 (5.0187)	Prec@1 4.297 (4.493)	Prec@5 17.578 (15.704)
Epoch: [5][610/7045]	Time 0.101 (0.259)	Data 0.001 (0.193)	Loss 5.1267 (5.0183)	Prec@1 4.688 (4.503)	Prec@5 17.188 (15.717)
Epoch: [5][620/7045]	Time 0.592 (0.259)	Data 0.534 (0.193)	Loss 4.9374 (5.0189)	Prec@1 7.031 (4.502)	Prec@5 17.188 (15.716)
Epoch: [5][630/7045]	Time 0.102 (0.259)	Data 0.020 (0.193)	Loss 5.0778 (5.0200)	Prec@1 4.688 (4.492)	Prec@5 12.109 (15.699)
Epoch: [5][640/7045]	Time 0.103 (0.259)	Data 0.046 (0.193)	Loss 5.1394 (5.0213)	Prec@1 3.125 (4.484)	Prec@5 14.062 (15.680)
Epoch: [5][650/7045]	Time 0.640 (0.259)	Data 0.583 (0.193)	Loss 4.9960 (5.0228)	Prec@1 5.859 (4.480)	Prec@5 20.312 (15.665)
Epoch: [5][660/7045]	Time 0.101 (0.258)	Data 0.048 (0.193)	Loss 5.0010 (5.0233)	Prec@1 7.031 (4.479)	Prec@5 16.016 (15.645)
Epoch: [5][670/7045]	Time 0.226 (0.258)	Data 0.175 (0.193)	Loss 4.9115 (5.0234)	Prec@1 7.812 (4.481)	Prec@5 19.141 (15.661)
Epoch: [5][680/7045]	Time 0.498 (0.259)	Data 0.448 (0.193)	Loss 5.0291 (5.0236)	Prec@1 4.297 (4.478)	Prec@5 14.062 (15.659)
Epoch: [5][690/7045]	Time 0.114 (0.258)	Data 0.064 (0.193)	Loss 5.0762 (5.0245)	Prec@1 4.297 (4.474)	Prec@5 12.109 (15.636)
Epoch: [5][700/7045]	Time 0.353 (0.258)	Data 0.301 (0.193)	Loss 5.0618 (5.0244)	Prec@1 5.469 (4.474)	Prec@5 14.062 (15.633)
Epoch: [5][710/7045]	Time 0.109 (0.258)	Data 0.058 (0.193)	Loss 4.8529 (5.0236)	Prec@1 3.906 (4.477)	Prec@5 16.016 (15.639)
Epoch: [5][720/7045]	Time 0.102 (0.258)	Data 0.001 (0.193)	Loss 5.1639 (5.0240)	Prec@1 4.297 (4.472)	Prec@5 12.109 (15.635)
Epoch: [5][730/7045]	Time 0.111 (0.258)	Data 0.060 (0.193)	Loss 5.0220 (5.0244)	Prec@1 5.078 (4.475)	Prec@5 15.234 (15.624)
Epoch: [5][740/7045]	Time 0.188 (0.258)	Data 0.137 (0.193)	Loss 5.0288 (5.0240)	Prec@1 6.250 (4.481)	Prec@5 16.406 (15.632)
Epoch: [5][750/7045]	Time 0.337 (0.258)	Data 0.287 (0.193)	Loss 5.0477 (5.0244)	Prec@1 4.688 (4.489)	Prec@5 15.625 (15.632)
Epoch: [5][760/7045]	Time 0.096 (0.258)	Data 0.001 (0.193)	Loss 5.0180 (5.0249)	Prec@1 3.906 (4.479)	Prec@5 17.578 (15.627)
Epoch: [5][770/7045]	Time 0.173 (0.258)	Data 0.122 (0.193)	Loss 5.0671 (5.0248)	Prec@1 4.688 (4.474)	Prec@5 14.844 (15.619)
Epoch: [5][780/7045]	Time 0.297 (0.258)	Data 0.245 (0.193)	Loss 5.0045 (5.0249)	Prec@1 2.344 (4.462)	Prec@5 14.844 (15.620)
Epoch: [5][790/7045]	Time 0.102 (0.258)	Data 0.001 (0.193)	Loss 5.0299 (5.0256)	Prec@1 3.906 (4.454)	Prec@5 17.578 (15.602)
Epoch: [5][800/7045]	Time 0.110 (0.259)	Data 0.001 (0.193)	Loss 5.0837 (5.0258)	Prec@1 3.516 (4.448)	Prec@5 13.672 (15.581)
Epoch: [5][810/7045]	Time 0.103 (0.258)	Data 0.001 (0.193)	Loss 4.9900 (5.0265)	Prec@1 3.906 (4.437)	Prec@5 16.406 (15.571)
Epoch: [5][820/7045]	Time 0.488 (0.259)	Data 0.436 (0.193)	Loss 5.1077 (5.0262)	Prec@1 2.734 (4.433)	Prec@5 16.016 (15.575)
Epoch: [5][830/7045]	Time 0.100 (0.259)	Data 0.001 (0.193)	Loss 5.0454 (5.0264)	Prec@1 2.734 (4.435)	Prec@5 14.453 (15.572)
Epoch: [5][840/7045]	Time 0.103 (0.258)	Data 0.050 (0.193)	Loss 4.9268 (5.0266)	Prec@1 6.641 (4.450)	Prec@5 19.141 (15.573)
Epoch: [5][850/7045]	Time 0.715 (0.259)	Data 0.664 (0.194)	Loss 5.0584 (5.0270)	Prec@1 5.078 (4.453)	Prec@5 15.625 (15.575)
Epoch: [5][860/7045]	Time 0.108 (0.259)	Data 0.057 (0.193)	Loss 5.1402 (5.0270)	Prec@1 3.906 (4.458)	Prec@5 13.672 (15.571)
Epoch: [5][870/7045]	Time 0.292 (0.259)	Data 0.241 (0.193)	Loss 4.9930 (5.0274)	Prec@1 5.859 (4.458)	Prec@5 16.406 (15.565)
Epoch: [5][880/7045]	Time 0.548 (0.259)	Data 0.497 (0.194)	Loss 5.0388 (5.0269)	Prec@1 3.516 (4.461)	Prec@5 14.453 (15.575)
Epoch: [5][890/7045]	Time 0.175 (0.258)	Data 0.114 (0.193)	Loss 5.0485 (5.0272)	Prec@1 3.516 (4.453)	Prec@5 13.672 (15.566)
Epoch: [5][900/7045]	Time 0.303 (0.259)	Data 0.251 (0.193)	Loss 5.0786 (5.0271)	Prec@1 5.469 (4.459)	Prec@5 15.625 (15.570)
Epoch: [5][910/7045]	Time 0.270 (0.258)	Data 0.220 (0.193)	Loss 5.0718 (5.0269)	Prec@1 5.078 (4.464)	Prec@5 16.797 (15.575)
Epoch: [5][920/7045]	Time 0.101 (0.258)	Data 0.001 (0.193)	Loss 4.9555 (5.0266)	Prec@1 5.078 (4.462)	Prec@5 16.016 (15.575)
Epoch: [5][930/7045]	Time 0.354 (0.259)	Data 0.302 (0.193)	Loss 4.9988 (5.0264)	Prec@1 3.125 (4.455)	Prec@5 13.281 (15.575)
Epoch: [5][940/7045]	Time 0.102 (0.258)	Data 0.001 (0.193)	Loss 5.1122 (5.0264)	Prec@1 3.125 (4.455)	Prec@5 12.109 (15.574)
Epoch: [5][950/7045]	Time 0.099 (0.258)	Data 0.046 (0.193)	Loss 4.9631 (5.0258)	Prec@1 3.906 (4.457)	Prec@5 17.188 (15.586)
Epoch: [5][960/7045]	Time 0.546 (0.259)	Data 0.494 (0.193)	Loss 5.3122 (5.0258)	Prec@1 2.734 (4.457)	Prec@5 8.984 (15.582)
Epoch: [5][970/7045]	Time 0.150 (0.258)	Data 0.099 (0.193)	Loss 5.0017 (5.0254)	Prec@1 3.125 (4.459)	Prec@5 13.672 (15.575)
Epoch: [5][980/7045]	Time 0.337 (0.258)	Data 0.285 (0.193)	Loss 5.1186 (5.0259)	Prec@1 3.516 (4.460)	Prec@5 12.500 (15.568)
Epoch: [5][990/7045]	Time 0.391 (0.258)	Data 0.339 (0.193)	Loss 4.9764 (5.0259)	Prec@1 5.469 (4.461)	Prec@5 17.578 (15.575)
Epoch: [5][1000/7045]	Time 0.191 (0.258)	Data 0.140 (0.193)	Loss 4.9792 (5.0263)	Prec@1 5.078 (4.462)	Prec@5 17.578 (15.566)
Epoch: [5][1010/7045]	Time 0.299 (0.258)	Data 0.249 (0.193)	Loss 5.1182 (5.0262)	Prec@1 3.906 (4.456)	Prec@5 12.500 (15.566)
Epoch: [5][1020/7045]	Time 0.231 (0.258)	Data 0.179 (0.193)	Loss 5.0362 (5.0272)	Prec@1 6.641 (4.451)	Prec@5 19.922 (15.555)
Epoch: [5][1030/7045]	Time 0.207 (0.258)	Data 0.156 (0.193)	Loss 5.0855 (5.0275)	Prec@1 1.562 (4.447)	Prec@5 12.109 (15.547)
Epoch: [5][1040/7045]	Time 0.440 (0.258)	Data 0.389 (0.193)	Loss 5.0539 (5.0278)	Prec@1 3.906 (4.447)	Prec@5 16.016 (15.542)
Epoch: [5][1050/7045]	Time 0.111 (0.258)	Data 0.001 (0.193)	Loss 5.2403 (5.0283)	Prec@1 2.344 (4.449)	Prec@5 13.672 (15.538)
Epoch: [5][1060/7045]	Time 0.395 (0.258)	Data 0.344 (0.193)	Loss 5.0947 (5.0288)	Prec@1 3.516 (4.448)	Prec@5 13.281 (15.530)
Epoch: [5][1070/7045]	Time 0.102 (0.258)	Data 0.001 (0.193)	Loss 5.1211 (5.0289)	Prec@1 4.297 (4.446)	Prec@5 15.625 (15.540)
Epoch: [5][1080/7045]	Time 0.330 (0.258)	Data 0.279 (0.193)	Loss 5.1187 (5.0288)	Prec@1 2.344 (4.442)	Prec@5 14.062 (15.537)
Epoch: [5][1090/7045]	Time 0.493 (0.258)	Data 0.442 (0.193)	Loss 5.0426 (5.0293)	Prec@1 3.906 (4.445)	Prec@5 16.016 (15.535)
Epoch: [5][1100/7045]	Time 0.100 (0.258)	Data 0.001 (0.193)	Loss 5.2038 (5.0297)	Prec@1 3.125 (4.435)	Prec@5 11.719 (15.522)
Epoch: [5][1110/7045]	Time 0.105 (0.258)	Data 0.052 (0.193)	Loss 5.1844 (5.0295)	Prec@1 3.906 (4.431)	Prec@5 14.062 (15.512)
Epoch: [5][1120/7045]	Time 0.638 (0.258)	Data 0.587 (0.193)	Loss 4.9916 (5.0288)	Prec@1 5.469 (4.443)	Prec@5 16.406 (15.529)
Epoch: [5][1130/7045]	Time 0.113 (0.258)	Data 0.061 (0.193)	Loss 5.0237 (5.0284)	Prec@1 4.688 (4.447)	Prec@5 17.578 (15.545)
Epoch: [5][1140/7045]	Time 0.101 (0.258)	Data 0.008 (0.193)	Loss 5.1324 (5.0283)	Prec@1 5.078 (4.445)	Prec@5 14.453 (15.547)
Epoch: [5][1150/7045]	Time 0.386 (0.258)	Data 0.329 (0.193)	Loss 5.0373 (5.0283)	Prec@1 3.516 (4.447)	Prec@5 14.062 (15.540)
Epoch: [5][1160/7045]	Time 0.102 (0.258)	Data 0.001 (0.193)	Loss 5.0430 (5.0284)	Prec@1 5.469 (4.447)	Prec@5 16.016 (15.532)
Epoch: [5][1170/7045]	Time 0.209 (0.258)	Data 0.156 (0.193)	Loss 4.9659 (5.0284)	Prec@1 3.906 (4.450)	Prec@5 18.750 (15.541)
Epoch: [5][1180/7045]	Time 0.115 (0.258)	Data 0.064 (0.193)	Loss 5.1057 (5.0284)	Prec@1 2.734 (4.449)	Prec@5 13.281 (15.544)
Epoch: [5][1190/7045]	Time 0.102 (0.258)	Data 0.001 (0.193)	Loss 4.9514 (5.0282)	Prec@1 7.422 (4.452)	Prec@5 18.750 (15.549)
Epoch: [5][1200/7045]	Time 0.102 (0.258)	Data 0.001 (0.193)	Loss 5.2253 (5.0284)	Prec@1 3.516 (4.447)	Prec@5 17.969 (15.551)
Epoch: [5][1210/7045]	Time 0.423 (0.258)	Data 0.372 (0.193)	Loss 4.9743 (5.0284)	Prec@1 3.516 (4.441)	Prec@5 16.797 (15.543)
Epoch: [5][1220/7045]	Time 0.154 (0.258)	Data 0.104 (0.193)	Loss 4.9876 (5.0281)	Prec@1 4.688 (4.446)	Prec@5 16.406 (15.553)
Epoch: [5][1230/7045]	Time 0.144 (0.258)	Data 0.093 (0.193)	Loss 5.0110 (5.0282)	Prec@1 4.297 (4.447)	Prec@5 15.625 (15.555)
Epoch: [5][1240/7045]	Time 0.104 (0.258)	Data 0.008 (0.193)	Loss 4.9954 (5.0284)	Prec@1 3.906 (4.450)	Prec@5 17.969 (15.552)
Epoch: [5][1250/7045]	Time 0.722 (0.258)	Data 0.663 (0.193)	Loss 5.1461 (5.0285)	Prec@1 1.562 (4.449)	Prec@5 15.234 (15.554)
Epoch: [5][1260/7045]	Time 0.110 (0.258)	Data 0.001 (0.193)	Loss 5.0868 (5.0288)	Prec@1 3.906 (4.448)	Prec@5 13.281 (15.546)
Epoch: [5][1270/7045]	Time 0.355 (0.258)	Data 0.297 (0.193)	Loss 5.0274 (5.0284)	Prec@1 6.641 (4.453)	Prec@5 15.234 (15.550)
Epoch: [5][1280/7045]	Time 0.140 (0.258)	Data 0.086 (0.193)	Loss 5.0392 (5.0284)	Prec@1 5.078 (4.454)	Prec@5 15.625 (15.552)
Epoch: [5][1290/7045]	Time 0.216 (0.258)	Data 0.165 (0.193)	Loss 5.0202 (5.0285)	Prec@1 5.078 (4.455)	Prec@5 14.453 (15.548)
Epoch: [5][1300/7045]	Time 0.101 (0.258)	Data 0.011 (0.193)	Loss 4.8376 (5.0287)	Prec@1 5.469 (4.448)	Prec@5 19.531 (15.544)
Epoch: [5][1310/7045]	Time 0.328 (0.258)	Data 0.277 (0.193)	Loss 5.1091 (5.0293)	Prec@1 4.297 (4.446)	Prec@5 14.453 (15.542)
Epoch: [5][1320/7045]	Time 0.162 (0.258)	Data 0.110 (0.193)	Loss 5.0041 (5.0297)	Prec@1 5.469 (4.444)	Prec@5 15.234 (15.535)
Epoch: [5][1330/7045]	Time 0.101 (0.258)	Data 0.001 (0.193)	Loss 4.9526 (5.0297)	Prec@1 3.906 (4.442)	Prec@5 15.234 (15.525)
Epoch: [5][1340/7045]	Time 0.357 (0.258)	Data 0.305 (0.194)	Loss 5.1721 (5.0296)	Prec@1 5.469 (4.445)	Prec@5 13.281 (15.523)
Epoch: [5][1350/7045]	Time 0.101 (0.258)	Data 0.001 (0.193)	Loss 5.0490 (5.0298)	Prec@1 5.859 (4.447)	Prec@5 16.797 (15.523)
Epoch: [5][1360/7045]	Time 0.216 (0.258)	Data 0.166 (0.193)	Loss 4.8840 (5.0293)	Prec@1 5.469 (4.451)	Prec@5 17.969 (15.533)
Epoch: [5][1370/7045]	Time 0.110 (0.258)	Data 0.001 (0.194)	Loss 5.2939 (5.0299)	Prec@1 5.469 (4.449)	Prec@5 13.672 (15.526)
Epoch: [5][1380/7045]	Time 0.103 (0.258)	Data 0.052 (0.193)	Loss 5.0863 (5.0303)	Prec@1 3.516 (4.445)	Prec@5 13.281 (15.515)
Epoch: [5][1390/7045]	Time 0.306 (0.258)	Data 0.255 (0.193)	Loss 5.1403 (5.0302)	Prec@1 3.906 (4.445)	Prec@5 16.016 (15.515)
Epoch: [5][1400/7045]	Time 0.467 (0.258)	Data 0.416 (0.193)	Loss 4.9633 (5.0299)	Prec@1 6.641 (4.449)	Prec@5 17.969 (15.516)
Epoch: [5][1410/7045]	Time 0.473 (0.258)	Data 0.422 (0.194)	Loss 4.9613 (5.0296)	Prec@1 7.422 (4.454)	Prec@5 18.359 (15.519)
Epoch: [5][1420/7045]	Time 0.110 (0.258)	Data 0.001 (0.193)	Loss 4.9362 (5.0298)	Prec@1 6.250 (4.458)	Prec@5 19.141 (15.523)
Epoch: [5][1430/7045]	Time 0.490 (0.258)	Data 0.439 (0.193)	Loss 5.1254 (5.0303)	Prec@1 3.125 (4.454)	Prec@5 13.672 (15.516)
Epoch: [5][1440/7045]	Time 0.185 (0.258)	Data 0.134 (0.193)	Loss 5.0421 (5.0305)	Prec@1 5.078 (4.452)	Prec@5 15.625 (15.510)
Epoch: [5][1450/7045]	Time 0.107 (0.258)	Data 0.054 (0.193)	Loss 5.0584 (5.0305)	Prec@1 5.469 (4.457)	Prec@5 15.234 (15.518)
Epoch: [5][1460/7045]	Time 0.426 (0.258)	Data 0.376 (0.193)	Loss 5.1148 (5.0303)	Prec@1 5.078 (4.459)	Prec@5 14.453 (15.528)
Epoch: [5][1470/7045]	Time 0.113 (0.258)	Data 0.061 (0.193)	Loss 5.1241 (5.0305)	Prec@1 4.297 (4.459)	Prec@5 15.234 (15.525)
Epoch: [5][1480/7045]	Time 0.492 (0.258)	Data 0.442 (0.193)	Loss 4.9233 (5.0304)	Prec@1 6.250 (4.460)	Prec@5 15.625 (15.517)
Epoch: [5][1490/7045]	Time 0.264 (0.258)	Data 0.212 (0.193)	Loss 5.0222 (5.0303)	Prec@1 3.906 (4.460)	Prec@5 14.062 (15.520)
Epoch: [5][1500/7045]	Time 0.292 (0.258)	Data 0.242 (0.193)	Loss 5.0271 (5.0300)	Prec@1 4.688 (4.458)	Prec@5 16.797 (15.526)
Epoch: [5][1510/7045]	Time 0.426 (0.258)	Data 0.374 (0.193)	Loss 5.1231 (5.0299)	Prec@1 4.297 (4.455)	Prec@5 16.406 (15.528)
Epoch: [5][1520/7045]	Time 0.292 (0.258)	Data 0.241 (0.193)	Loss 5.0784 (5.0298)	Prec@1 4.688 (4.459)	Prec@5 15.234 (15.533)
Epoch: [5][1530/7045]	Time 0.523 (0.258)	Data 0.473 (0.193)	Loss 5.0599 (5.0300)	Prec@1 3.516 (4.456)	Prec@5 16.406 (15.537)
Epoch: [5][1540/7045]	Time 0.363 (0.258)	Data 0.312 (0.193)	Loss 4.9169 (5.0304)	Prec@1 6.641 (4.458)	Prec@5 17.578 (15.537)
Epoch: [5][1550/7045]	Time 0.107 (0.258)	Data 0.009 (0.193)	Loss 5.0275 (5.0308)	Prec@1 5.859 (4.456)	Prec@5 16.797 (15.533)
Epoch: [5][1560/7045]	Time 0.539 (0.258)	Data 0.488 (0.193)	Loss 5.0452 (5.0308)	Prec@1 3.906 (4.454)	Prec@5 16.016 (15.534)
Epoch: [5][1570/7045]	Time 0.103 (0.258)	Data 0.001 (0.193)	Loss 5.0349 (5.0306)	Prec@1 5.078 (4.459)	Prec@5 14.844 (15.539)
Epoch: [5][1580/7045]	Time 0.102 (0.257)	Data 0.005 (0.193)	Loss 4.9987 (5.0307)	Prec@1 5.469 (4.456)	Prec@5 16.016 (15.541)
Epoch: [5][1590/7045]	Time 0.410 (0.257)	Data 0.358 (0.193)	Loss 4.9965 (5.0308)	Prec@1 5.078 (4.458)	Prec@5 16.016 (15.536)
Epoch: [5][1600/7045]	Time 0.250 (0.257)	Data 0.189 (0.193)	Loss 5.0324 (5.0311)	Prec@1 3.125 (4.459)	Prec@5 15.234 (15.532)
Epoch: [5][1610/7045]	Time 0.109 (0.257)	Data 0.001 (0.193)	Loss 5.0565 (5.0312)	Prec@1 3.125 (4.455)	Prec@5 14.453 (15.529)
Epoch: [5][1620/7045]	Time 0.134 (0.257)	Data 0.083 (0.193)	Loss 4.9967 (5.0314)	Prec@1 4.297 (4.448)	Prec@5 16.797 (15.519)
Epoch: [5][1630/7045]	Time 0.184 (0.257)	Data 0.134 (0.193)	Loss 5.0741 (5.0316)	Prec@1 4.688 (4.450)	Prec@5 15.625 (15.517)
Epoch: [5][1640/7045]	Time 0.102 (0.257)	Data 0.001 (0.193)	Loss 5.0371 (5.0316)	Prec@1 4.688 (4.453)	Prec@5 12.891 (15.519)
Epoch: [5][1650/7045]	Time 0.175 (0.257)	Data 0.124 (0.193)	Loss 5.1322 (5.0315)	Prec@1 2.344 (4.453)	Prec@5 14.453 (15.520)
Epoch: [5][1660/7045]	Time 0.278 (0.258)	Data 0.218 (0.193)	Loss 5.0443 (5.0322)	Prec@1 2.344 (4.444)	Prec@5 13.281 (15.508)
Epoch: [5][1670/7045]	Time 0.102 (0.257)	Data 0.001 (0.193)	Loss 4.9734 (5.0326)	Prec@1 5.859 (4.441)	Prec@5 17.578 (15.504)
Epoch: [5][1680/7045]	Time 0.341 (0.257)	Data 0.290 (0.193)	Loss 4.9838 (5.0324)	Prec@1 5.859 (4.446)	Prec@5 18.750 (15.506)
Epoch: [5][1690/7045]	Time 0.205 (0.257)	Data 0.153 (0.193)	Loss 5.2164 (5.0326)	Prec@1 4.297 (4.446)	Prec@5 12.109 (15.503)
Epoch: [5][1700/7045]	Time 0.362 (0.257)	Data 0.311 (0.193)	Loss 5.0764 (5.0335)	Prec@1 6.250 (4.443)	Prec@5 14.453 (15.485)
Epoch: [5][1710/7045]	Time 0.364 (0.257)	Data 0.313 (0.193)	Loss 5.1394 (5.0335)	Prec@1 5.469 (4.447)	Prec@5 15.234 (15.488)
Epoch: [5][1720/7045]	Time 0.352 (0.257)	Data 0.301 (0.193)	Loss 5.0816 (5.0333)	Prec@1 3.125 (4.448)	Prec@5 12.500 (15.493)
Epoch: [5][1730/7045]	Time 0.161 (0.257)	Data 0.109 (0.193)	Loss 5.0896 (5.0334)	Prec@1 3.906 (4.444)	Prec@5 14.453 (15.485)
Epoch: [5][1740/7045]	Time 0.151 (0.257)	Data 0.100 (0.193)	Loss 5.0818 (5.0339)	Prec@1 2.734 (4.439)	Prec@5 10.938 (15.475)
Epoch: [5][1750/7045]	Time 0.100 (0.257)	Data 0.021 (0.193)	Loss 4.8638 (5.0343)	Prec@1 4.688 (4.436)	Prec@5 15.234 (15.469)
Epoch: [5][1760/7045]	Time 0.549 (0.257)	Data 0.498 (0.193)	Loss 4.9708 (5.0346)	Prec@1 5.859 (4.433)	Prec@5 16.016 (15.464)
Epoch: [5][1770/7045]	Time 0.158 (0.257)	Data 0.107 (0.193)	Loss 5.1445 (5.0347)	Prec@1 3.906 (4.431)	Prec@5 13.672 (15.460)
Epoch: [5][1780/7045]	Time 0.465 (0.257)	Data 0.413 (0.193)	Loss 4.9559 (5.0343)	Prec@1 6.250 (4.430)	Prec@5 15.234 (15.464)
Epoch: [5][1790/7045]	Time 0.119 (0.257)	Data 0.067 (0.193)	Loss 4.8959 (5.0344)	Prec@1 7.031 (4.431)	Prec@5 19.531 (15.461)
Epoch: [5][1800/7045]	Time 0.129 (0.257)	Data 0.078 (0.193)	Loss 5.0852 (5.0346)	Prec@1 4.688 (4.429)	Prec@5 13.281 (15.454)
Epoch: [5][1810/7045]	Time 0.101 (0.257)	Data 0.001 (0.193)	Loss 5.2000 (5.0347)	Prec@1 2.344 (4.430)	Prec@5 14.062 (15.455)
Epoch: [5][1820/7045]	Time 0.548 (0.257)	Data 0.496 (0.193)	Loss 5.0625 (5.0344)	Prec@1 4.688 (4.432)	Prec@5 14.453 (15.459)
Epoch: [5][1830/7045]	Time 0.251 (0.257)	Data 0.193 (0.193)	Loss 5.1575 (5.0346)	Prec@1 5.078 (4.434)	Prec@5 15.625 (15.461)
Epoch: [5][1840/7045]	Time 0.229 (0.257)	Data 0.178 (0.193)	Loss 4.9580 (5.0353)	Prec@1 5.469 (4.431)	Prec@5 15.234 (15.449)
Epoch: [5][1850/7045]	Time 0.287 (0.257)	Data 0.235 (0.193)	Loss 5.0505 (5.0353)	Prec@1 5.859 (4.430)	Prec@5 16.016 (15.448)
Epoch: [5][1860/7045]	Time 0.101 (0.257)	Data 0.001 (0.193)	Loss 5.1598 (5.0353)	Prec@1 4.688 (4.429)	Prec@5 12.109 (15.449)
Epoch: [5][1870/7045]	Time 0.490 (0.257)	Data 0.439 (0.193)	Loss 5.1587 (5.0354)	Prec@1 3.516 (4.427)	Prec@5 13.281 (15.446)
Epoch: [5][1880/7045]	Time 0.271 (0.257)	Data 0.220 (0.193)	Loss 5.1312 (5.0354)	Prec@1 4.688 (4.425)	Prec@5 15.234 (15.444)
Epoch: [5][1890/7045]	Time 0.383 (0.257)	Data 0.332 (0.193)	Loss 4.9389 (5.0356)	Prec@1 5.469 (4.426)	Prec@5 19.922 (15.442)
Epoch: [5][1900/7045]	Time 0.182 (0.257)	Data 0.131 (0.193)	Loss 5.1068 (5.0355)	Prec@1 5.469 (4.430)	Prec@5 16.406 (15.446)
Epoch: [5][1910/7045]	Time 0.211 (0.257)	Data 0.159 (0.193)	Loss 5.0869 (5.0353)	Prec@1 5.078 (4.431)	Prec@5 16.016 (15.448)
Epoch: [5][1920/7045]	Time 0.286 (0.257)	Data 0.235 (0.193)	Loss 5.0862 (5.0355)	Prec@1 3.516 (4.430)	Prec@5 14.844 (15.443)
Epoch: [5][1930/7045]	Time 0.100 (0.257)	Data 0.001 (0.194)	Loss 5.0418 (5.0359)	Prec@1 6.250 (4.429)	Prec@5 16.016 (15.437)
Epoch: [5][1940/7045]	Time 0.104 (0.257)	Data 0.051 (0.193)	Loss 5.0260 (5.0358)	Prec@1 4.297 (4.429)	Prec@5 16.797 (15.438)
Epoch: [5][1950/7045]	Time 0.108 (0.257)	Data 0.013 (0.194)	Loss 4.9796 (5.0355)	Prec@1 3.906 (4.431)	Prec@5 17.188 (15.446)
Epoch: [5][1960/7045]	Time 0.102 (0.257)	Data 0.001 (0.193)	Loss 5.0199 (5.0355)	Prec@1 4.688 (4.433)	Prec@5 16.016 (15.451)
Epoch: [5][1970/7045]	Time 0.102 (0.257)	Data 0.001 (0.193)	Loss 5.0640 (5.0356)	Prec@1 3.516 (4.433)	Prec@5 13.281 (15.451)
Epoch: [5][1980/7045]	Time 0.107 (0.257)	Data 0.053 (0.193)	Loss 4.9398 (5.0353)	Prec@1 5.469 (4.436)	Prec@5 16.797 (15.452)
Epoch: [5][1990/7045]	Time 0.284 (0.257)	Data 0.233 (0.193)	Loss 4.9214 (5.0353)	Prec@1 5.078 (4.432)	Prec@5 14.453 (15.445)
Epoch: [5][2000/7045]	Time 0.257 (0.257)	Data 0.206 (0.193)	Loss 5.2023 (5.0352)	Prec@1 3.906 (4.434)	Prec@5 11.719 (15.444)
Epoch: [5][2010/7045]	Time 0.175 (0.257)	Data 0.123 (0.193)	Loss 4.9371 (5.0352)	Prec@1 5.078 (4.435)	Prec@5 18.359 (15.443)
Epoch: [5][2020/7045]	Time 0.502 (0.257)	Data 0.450 (0.193)	Loss 5.0469 (5.0351)	Prec@1 3.906 (4.438)	Prec@5 15.234 (15.445)
Epoch: [5][2030/7045]	Time 0.110 (0.257)	Data 0.006 (0.193)	Loss 5.1207 (5.0351)	Prec@1 4.297 (4.439)	Prec@5 12.891 (15.444)
Epoch: [5][2040/7045]	Time 0.683 (0.257)	Data 0.632 (0.193)	Loss 5.0760 (5.0351)	Prec@1 4.297 (4.442)	Prec@5 14.844 (15.444)
Epoch: [5][2050/7045]	Time 0.244 (0.257)	Data 0.193 (0.193)	Loss 4.9844 (5.0350)	Prec@1 5.859 (4.443)	Prec@5 21.094 (15.448)
Epoch: [5][2060/7045]	Time 0.380 (0.257)	Data 0.328 (0.193)	Loss 5.0704 (5.0349)	Prec@1 1.953 (4.441)	Prec@5 16.797 (15.447)
Epoch: [5][2070/7045]	Time 0.393 (0.257)	Data 0.342 (0.193)	Loss 5.0286 (5.0348)	Prec@1 5.859 (4.441)	Prec@5 13.672 (15.444)
Epoch: [5][2080/7045]	Time 0.273 (0.257)	Data 0.221 (0.193)	Loss 5.0809 (5.0348)	Prec@1 3.906 (4.442)	Prec@5 14.453 (15.443)
Epoch: [5][2090/7045]	Time 0.112 (0.257)	Data 0.053 (0.193)	Loss 5.1880 (5.0351)	Prec@1 2.734 (4.439)	Prec@5 12.109 (15.434)
Epoch: [5][2100/7045]	Time 0.562 (0.257)	Data 0.510 (0.193)	Loss 5.0170 (5.0351)	Prec@1 3.516 (4.441)	Prec@5 16.406 (15.436)
Epoch: [5][2110/7045]	Time 0.123 (0.257)	Data 0.072 (0.193)	Loss 5.0311 (5.0351)	Prec@1 6.250 (4.441)	Prec@5 16.406 (15.437)
Epoch: [5][2120/7045]	Time 0.416 (0.257)	Data 0.365 (0.193)	Loss 5.0729 (5.0353)	Prec@1 5.078 (4.442)	Prec@5 13.281 (15.437)
Epoch: [5][2130/7045]	Time 0.101 (0.257)	Data 0.007 (0.193)	Loss 4.9759 (5.0352)	Prec@1 3.906 (4.445)	Prec@5 15.625 (15.444)
Epoch: [5][2140/7045]	Time 0.101 (0.257)	Data 0.001 (0.193)	Loss 5.0859 (5.0355)	Prec@1 4.688 (4.441)	Prec@5 14.844 (15.440)
Epoch: [5][2150/7045]	Time 0.105 (0.257)	Data 0.047 (0.193)	Loss 5.1253 (5.0359)	Prec@1 2.344 (4.438)	Prec@5 12.109 (15.431)
Epoch: [5][2160/7045]	Time 0.224 (0.257)	Data 0.172 (0.193)	Loss 5.0907 (5.0361)	Prec@1 3.516 (4.434)	Prec@5 15.625 (15.424)
Epoch: [5][2170/7045]	Time 0.100 (0.257)	Data 0.002 (0.193)	Loss 5.1464 (5.0364)	Prec@1 3.125 (4.433)	Prec@5 11.719 (15.423)
Epoch: [5][2180/7045]	Time 0.205 (0.257)	Data 0.154 (0.193)	Loss 5.1324 (5.0365)	Prec@1 1.953 (4.432)	Prec@5 11.719 (15.417)
Epoch: [5][2190/7045]	Time 0.135 (0.257)	Data 0.083 (0.193)	Loss 5.1453 (5.0365)	Prec@1 4.688 (4.434)	Prec@5 15.625 (15.419)
Epoch: [5][2200/7045]	Time 0.101 (0.257)	Data 0.019 (0.193)	Loss 5.0236 (5.0365)	Prec@1 3.125 (4.431)	Prec@5 12.891 (15.415)
Epoch: [5][2210/7045]	Time 0.106 (0.257)	Data 0.054 (0.193)	Loss 5.1796 (5.0365)	Prec@1 4.297 (4.432)	Prec@5 16.797 (15.415)
Epoch: [5][2220/7045]	Time 0.101 (0.257)	Data 0.001 (0.193)	Loss 4.9326 (5.0365)	Prec@1 3.906 (4.433)	Prec@5 14.844 (15.417)
Epoch: [5][2230/7045]	Time 0.220 (0.257)	Data 0.169 (0.193)	Loss 4.9732 (5.0364)	Prec@1 4.688 (4.435)	Prec@5 15.625 (15.419)
Epoch: [5][2240/7045]	Time 0.101 (0.257)	Data 0.001 (0.193)	Loss 5.0209 (5.0362)	Prec@1 5.469 (4.437)	Prec@5 15.234 (15.420)
Epoch: [5][2250/7045]	Time 0.295 (0.257)	Data 0.243 (0.193)	Loss 5.0902 (5.0362)	Prec@1 5.078 (4.437)	Prec@5 14.844 (15.414)
Epoch: [5][2260/7045]	Time 0.181 (0.257)	Data 0.130 (0.193)	Loss 4.9843 (5.0363)	Prec@1 2.734 (4.436)	Prec@5 14.062 (15.411)
Epoch: [5][2270/7045]	Time 0.209 (0.257)	Data 0.157 (0.193)	Loss 5.0702 (5.0362)	Prec@1 3.125 (4.435)	Prec@5 12.500 (15.410)
Epoch: [5][2280/7045]	Time 0.216 (0.257)	Data 0.165 (0.193)	Loss 4.9950 (5.0362)	Prec@1 4.297 (4.436)	Prec@5 14.453 (15.409)
Epoch: [5][2290/7045]	Time 0.102 (0.257)	Data 0.001 (0.193)	Loss 5.0196 (5.0363)	Prec@1 2.734 (4.435)	Prec@5 14.453 (15.404)
Epoch: [5][2300/7045]	Time 0.246 (0.257)	Data 0.195 (0.193)	Loss 5.0694 (5.0364)	Prec@1 6.250 (4.435)	Prec@5 16.797 (15.402)
Epoch: [5][2310/7045]	Time 0.108 (0.257)	Data 0.001 (0.193)	Loss 5.2464 (5.0366)	Prec@1 3.906 (4.434)	Prec@5 10.938 (15.399)
Epoch: [5][2320/7045]	Time 0.540 (0.257)	Data 0.489 (0.193)	Loss 5.1203 (5.0370)	Prec@1 2.344 (4.427)	Prec@5 12.109 (15.389)
Epoch: [5][2330/7045]	Time 0.105 (0.257)	Data 0.053 (0.193)	Loss 5.0312 (5.0371)	Prec@1 5.469 (4.427)	Prec@5 15.625 (15.386)
Epoch: [5][2340/7045]	Time 0.216 (0.257)	Data 0.159 (0.193)	Loss 4.9110 (5.0371)	Prec@1 6.641 (4.429)	Prec@5 19.922 (15.388)
Epoch: [5][2350/7045]	Time 0.669 (0.257)	Data 0.617 (0.193)	Loss 4.9143 (5.0370)	Prec@1 3.906 (4.428)	Prec@5 13.672 (15.388)
Epoch: [5][2360/7045]	Time 0.135 (0.257)	Data 0.084 (0.193)	Loss 5.1671 (5.0368)	Prec@1 5.078 (4.430)	Prec@5 14.844 (15.393)
Epoch: [5][2370/7045]	Time 0.421 (0.257)	Data 0.368 (0.193)	Loss 4.8793 (5.0367)	Prec@1 4.297 (4.429)	Prec@5 15.234 (15.396)
Epoch: [5][2380/7045]	Time 0.102 (0.257)	Data 0.001 (0.192)	Loss 4.9544 (5.0366)	Prec@1 7.422 (4.430)	Prec@5 20.312 (15.394)
Epoch: [5][2390/7045]	Time 0.418 (0.257)	Data 0.367 (0.192)	Loss 5.0159 (5.0366)	Prec@1 4.297 (4.427)	Prec@5 15.234 (15.393)
Epoch: [5][2400/7045]	Time 0.102 (0.257)	Data 0.001 (0.192)	Loss 5.1258 (5.0367)	Prec@1 3.125 (4.426)	Prec@5 13.672 (15.395)
Epoch: [5][2410/7045]	Time 0.297 (0.257)	Data 0.246 (0.192)	Loss 4.9734 (5.0367)	Prec@1 4.297 (4.425)	Prec@5 14.844 (15.390)
Epoch: [5][2420/7045]	Time 0.624 (0.257)	Data 0.565 (0.193)	Loss 5.0735 (5.0368)	Prec@1 2.344 (4.421)	Prec@5 11.328 (15.383)
Epoch: [5][2430/7045]	Time 0.111 (0.257)	Data 0.059 (0.192)	Loss 5.0948 (5.0367)	Prec@1 5.469 (4.424)	Prec@5 16.016 (15.391)
Epoch: [5][2440/7045]	Time 0.101 (0.257)	Data 0.012 (0.192)	Loss 5.2066 (5.0367)	Prec@1 1.953 (4.422)	Prec@5 11.719 (15.393)
Epoch: [5][2450/7045]	Time 0.495 (0.257)	Data 0.444 (0.192)	Loss 5.1147 (5.0368)	Prec@1 3.906 (4.423)	Prec@5 16.797 (15.393)
Epoch: [5][2460/7045]	Time 0.109 (0.257)	Data 0.058 (0.192)	Loss 4.9809 (5.0370)	Prec@1 6.250 (4.424)	Prec@5 16.406 (15.388)
Epoch: [5][2470/7045]	Time 0.439 (0.257)	Data 0.388 (0.192)	Loss 5.1757 (5.0372)	Prec@1 2.734 (4.424)	Prec@5 10.547 (15.382)
Epoch: [5][2480/7045]	Time 0.131 (0.257)	Data 0.080 (0.192)	Loss 4.9860 (5.0373)	Prec@1 2.734 (4.422)	Prec@5 14.453 (15.377)
Epoch: [5][2490/7045]	Time 0.115 (0.257)	Data 0.063 (0.192)	Loss 5.0833 (5.0372)	Prec@1 3.906 (4.423)	Prec@5 13.281 (15.375)
Epoch: [5][2500/7045]	Time 0.366 (0.257)	Data 0.315 (0.192)	Loss 5.0104 (5.0374)	Prec@1 5.469 (4.422)	Prec@5 19.922 (15.371)
Epoch: [5][2510/7045]	Time 0.158 (0.257)	Data 0.106 (0.192)	Loss 5.1675 (5.0375)	Prec@1 2.734 (4.421)	Prec@5 12.109 (15.368)
Epoch: [5][2520/7045]	Time 0.162 (0.257)	Data 0.112 (0.192)	Loss 5.0905 (5.0376)	Prec@1 5.078 (4.423)	Prec@5 15.625 (15.370)
Epoch: [5][2530/7045]	Time 0.102 (0.257)	Data 0.001 (0.192)	Loss 5.0775 (5.0375)	Prec@1 2.734 (4.422)	Prec@5 10.547 (15.371)
Epoch: [5][2540/7045]	Time 0.106 (0.257)	Data 0.001 (0.192)	Loss 5.0409 (5.0375)	Prec@1 4.688 (4.420)	Prec@5 16.797 (15.371)
Epoch: [5][2550/7045]	Time 0.117 (0.257)	Data 0.065 (0.192)	Loss 5.0510 (5.0374)	Prec@1 3.516 (4.422)	Prec@5 16.016 (15.373)
Epoch: [5][2560/7045]	Time 0.107 (0.257)	Data 0.004 (0.192)	Loss 4.9468 (5.0374)	Prec@1 4.688 (4.421)	Prec@5 15.625 (15.370)
Epoch: [5][2570/7045]	Time 0.424 (0.257)	Data 0.374 (0.192)	Loss 5.0866 (5.0373)	Prec@1 3.125 (4.421)	Prec@5 13.672 (15.372)
Epoch: [5][2580/7045]	Time 0.101 (0.257)	Data 0.006 (0.192)	Loss 5.2015 (5.0376)	Prec@1 4.688 (4.419)	Prec@5 13.281 (15.368)
Epoch: [5][2590/7045]	Time 0.688 (0.257)	Data 0.637 (0.192)	Loss 5.0431 (5.0377)	Prec@1 4.688 (4.421)	Prec@5 14.062 (15.366)
Epoch: [5][2600/7045]	Time 0.101 (0.257)	Data 0.001 (0.192)	Loss 5.0239 (5.0377)	Prec@1 3.516 (4.421)	Prec@5 14.453 (15.366)
Epoch: [5][2610/7045]	Time 0.366 (0.257)	Data 0.314 (0.192)	Loss 5.0062 (5.0376)	Prec@1 5.469 (4.422)	Prec@5 16.406 (15.366)
Epoch: [5][2620/7045]	Time 0.276 (0.256)	Data 0.226 (0.192)	Loss 5.0153 (5.0376)	Prec@1 3.906 (4.421)	Prec@5 15.625 (15.364)
Epoch: [5][2630/7045]	Time 0.102 (0.257)	Data 0.001 (0.192)	Loss 4.8474 (5.0374)	Prec@1 4.297 (4.423)	Prec@5 17.969 (15.364)
Epoch: [5][2640/7045]	Time 0.281 (0.256)	Data 0.231 (0.192)	Loss 4.8950 (5.0372)	Prec@1 5.469 (4.425)	Prec@5 17.188 (15.368)
Epoch: [5][2650/7045]	Time 0.101 (0.256)	Data 0.001 (0.192)	Loss 4.8557 (5.0371)	Prec@1 4.297 (4.423)	Prec@5 19.141 (15.367)
Epoch: [5][2660/7045]	Time 0.101 (0.257)	Data 0.001 (0.192)	Loss 5.0557 (5.0371)	Prec@1 3.906 (4.422)	Prec@5 18.750 (15.368)
Epoch: [5][2670/7045]	Time 0.275 (0.256)	Data 0.223 (0.192)	Loss 5.0008 (5.0371)	Prec@1 4.688 (4.420)	Prec@5 18.359 (15.367)
Epoch: [5][2680/7045]	Time 0.139 (0.256)	Data 0.087 (0.192)	Loss 4.9225 (5.0369)	Prec@1 5.469 (4.419)	Prec@5 18.359 (15.364)
Epoch: [5][2690/7045]	Time 0.313 (0.257)	Data 0.261 (0.192)	Loss 4.8855 (5.0370)	Prec@1 5.469 (4.421)	Prec@5 18.359 (15.365)
Epoch: [5][2700/7045]	Time 0.104 (0.256)	Data 0.001 (0.192)	Loss 5.0556 (5.0370)	Prec@1 3.125 (4.421)	Prec@5 12.500 (15.362)
Epoch: [5][2710/7045]	Time 0.108 (0.257)	Data 0.021 (0.192)	Loss 5.1691 (5.0371)	Prec@1 4.297 (4.420)	Prec@5 12.109 (15.362)
Epoch: [5][2720/7045]	Time 0.121 (0.256)	Data 0.069 (0.192)	Loss 5.0073 (5.0373)	Prec@1 4.297 (4.418)	Prec@5 16.797 (15.363)
Epoch: [5][2730/7045]	Time 0.103 (0.256)	Data 0.001 (0.192)	Loss 5.1039 (5.0372)	Prec@1 5.469 (4.419)	Prec@5 14.062 (15.368)
Epoch: [5][2740/7045]	Time 0.109 (0.256)	Data 0.057 (0.192)	Loss 4.9791 (5.0372)	Prec@1 7.031 (4.422)	Prec@5 19.141 (15.371)
Epoch: [5][2750/7045]	Time 0.102 (0.256)	Data 0.001 (0.192)	Loss 5.1604 (5.0371)	Prec@1 3.125 (4.423)	Prec@5 11.719 (15.370)
Epoch: [5][2760/7045]	Time 0.110 (0.256)	Data 0.047 (0.192)	Loss 5.0215 (5.0374)	Prec@1 5.859 (4.423)	Prec@5 17.188 (15.364)
Epoch: [5][2770/7045]	Time 0.545 (0.257)	Data 0.493 (0.192)	Loss 5.0953 (5.0376)	Prec@1 3.516 (4.420)	Prec@5 17.188 (15.362)
Epoch: [5][2780/7045]	Time 0.162 (0.256)	Data 0.111 (0.192)	Loss 5.0819 (5.0378)	Prec@1 5.078 (4.421)	Prec@5 16.797 (15.359)
Epoch: [5][2790/7045]	Time 0.511 (0.256)	Data 0.459 (0.192)	Loss 4.8860 (5.0376)	Prec@1 5.859 (4.422)	Prec@5 17.188 (15.360)
Epoch: [5][2800/7045]	Time 0.601 (0.256)	Data 0.548 (0.192)	Loss 5.0333 (5.0374)	Prec@1 2.734 (4.423)	Prec@5 15.234 (15.361)
Epoch: [5][2810/7045]	Time 0.102 (0.256)	Data 0.001 (0.192)	Loss 5.0739 (5.0374)	Prec@1 3.906 (4.421)	Prec@5 13.281 (15.362)
Epoch: [5][2820/7045]	Time 0.518 (0.256)	Data 0.462 (0.192)	Loss 4.9797 (5.0374)	Prec@1 2.734 (4.420)	Prec@5 14.062 (15.360)
Epoch: [5][2830/7045]	Time 0.160 (0.256)	Data 0.109 (0.192)	Loss 4.9686 (5.0373)	Prec@1 7.422 (4.421)	Prec@5 17.188 (15.359)
Epoch: [5][2840/7045]	Time 0.415 (0.256)	Data 0.365 (0.192)	Loss 4.9865 (5.0373)	Prec@1 4.688 (4.422)	Prec@5 17.969 (15.358)
Epoch: [5][2850/7045]	Time 0.288 (0.256)	Data 0.237 (0.192)	Loss 4.9482 (5.0372)	Prec@1 5.859 (4.424)	Prec@5 17.578 (15.362)
Epoch: [5][2860/7045]	Time 0.103 (0.256)	Data 0.006 (0.192)	Loss 5.1223 (5.0373)	Prec@1 3.516 (4.424)	Prec@5 14.453 (15.364)
Epoch: [5][2870/7045]	Time 0.600 (0.256)	Data 0.541 (0.192)	Loss 5.0679 (5.0371)	Prec@1 2.344 (4.422)	Prec@5 12.500 (15.365)
Epoch: [5][2880/7045]	Time 0.101 (0.256)	Data 0.001 (0.192)	Loss 5.0655 (5.0372)	Prec@1 5.078 (4.422)	Prec@5 12.891 (15.364)
Epoch: [5][2890/7045]	Time 0.566 (0.256)	Data 0.516 (0.192)	Loss 5.0727 (5.0370)	Prec@1 2.734 (4.422)	Prec@5 15.234 (15.365)
Epoch: [5][2900/7045]	Time 0.119 (0.256)	Data 0.067 (0.191)	Loss 4.9555 (5.0368)	Prec@1 2.344 (4.422)	Prec@5 12.891 (15.367)
Epoch: [5][2910/7045]	Time 0.430 (0.256)	Data 0.378 (0.191)	Loss 5.0991 (5.0369)	Prec@1 4.297 (4.422)	Prec@5 11.328 (15.366)
Epoch: [5][2920/7045]	Time 0.490 (0.256)	Data 0.437 (0.191)	Loss 4.9131 (5.0370)	Prec@1 5.078 (4.422)	Prec@5 15.625 (15.364)
Epoch: [5][2930/7045]	Time 0.150 (0.256)	Data 0.098 (0.191)	Loss 5.1711 (5.0370)	Prec@1 4.297 (4.422)	Prec@5 12.500 (15.359)
Epoch: [5][2940/7045]	Time 0.733 (0.256)	Data 0.682 (0.191)	Loss 5.0498 (5.0370)	Prec@1 5.859 (4.420)	Prec@5 15.625 (15.356)
Epoch: [5][2950/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 4.9711 (5.0370)	Prec@1 4.297 (4.418)	Prec@5 16.016 (15.353)
Epoch: [5][2960/7045]	Time 0.547 (0.256)	Data 0.496 (0.191)	Loss 5.0703 (5.0369)	Prec@1 4.297 (4.418)	Prec@5 15.234 (15.354)
Epoch: [5][2970/7045]	Time 0.102 (0.256)	Data 0.009 (0.191)	Loss 5.1936 (5.0371)	Prec@1 3.516 (4.415)	Prec@5 9.766 (15.347)
Epoch: [5][2980/7045]	Time 0.595 (0.256)	Data 0.544 (0.191)	Loss 5.0738 (5.0373)	Prec@1 3.516 (4.414)	Prec@5 12.109 (15.342)
Epoch: [5][2990/7045]	Time 0.170 (0.256)	Data 0.119 (0.191)	Loss 4.9462 (5.0373)	Prec@1 6.250 (4.415)	Prec@5 14.062 (15.343)
Epoch: [5][3000/7045]	Time 0.588 (0.256)	Data 0.537 (0.191)	Loss 5.0486 (5.0374)	Prec@1 4.297 (4.415)	Prec@5 17.578 (15.343)
Epoch: [5][3010/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 4.9081 (5.0374)	Prec@1 4.297 (4.415)	Prec@5 20.312 (15.346)
Epoch: [5][3020/7045]	Time 0.352 (0.256)	Data 0.295 (0.191)	Loss 5.0079 (5.0374)	Prec@1 6.641 (4.415)	Prec@5 19.531 (15.346)
Epoch: [5][3030/7045]	Time 0.105 (0.256)	Data 0.052 (0.191)	Loss 5.0387 (5.0375)	Prec@1 3.906 (4.414)	Prec@5 14.453 (15.343)
Epoch: [5][3040/7045]	Time 0.102 (0.256)	Data 0.049 (0.191)	Loss 5.0845 (5.0377)	Prec@1 4.297 (4.414)	Prec@5 16.016 (15.339)
Epoch: [5][3050/7045]	Time 0.235 (0.256)	Data 0.182 (0.191)	Loss 4.9820 (5.0378)	Prec@1 5.859 (4.415)	Prec@5 19.531 (15.342)
Epoch: [5][3060/7045]	Time 0.101 (0.256)	Data 0.020 (0.191)	Loss 4.8907 (5.0376)	Prec@1 5.859 (4.416)	Prec@5 18.359 (15.343)
Epoch: [5][3070/7045]	Time 0.349 (0.256)	Data 0.298 (0.191)	Loss 4.8904 (5.0375)	Prec@1 4.688 (4.417)	Prec@5 18.750 (15.347)
Epoch: [5][3080/7045]	Time 0.102 (0.256)	Data 0.006 (0.191)	Loss 4.9399 (5.0374)	Prec@1 5.859 (4.419)	Prec@5 17.578 (15.351)
Epoch: [5][3090/7045]	Time 0.109 (0.256)	Data 0.015 (0.191)	Loss 5.0542 (5.0374)	Prec@1 3.125 (4.418)	Prec@5 11.719 (15.349)
Epoch: [5][3100/7045]	Time 0.101 (0.256)	Data 0.001 (0.191)	Loss 5.0396 (5.0373)	Prec@1 4.297 (4.420)	Prec@5 15.625 (15.356)
Epoch: [5][3110/7045]	Time 0.268 (0.256)	Data 0.217 (0.191)	Loss 5.0795 (5.0373)	Prec@1 3.516 (4.422)	Prec@5 13.672 (15.356)
Epoch: [5][3120/7045]	Time 0.102 (0.256)	Data 0.048 (0.191)	Loss 4.9502 (5.0372)	Prec@1 4.297 (4.422)	Prec@5 18.359 (15.357)
Epoch: [5][3130/7045]	Time 0.316 (0.256)	Data 0.264 (0.191)	Loss 4.9950 (5.0371)	Prec@1 3.516 (4.421)	Prec@5 14.844 (15.356)
Epoch: [5][3140/7045]	Time 0.101 (0.256)	Data 0.049 (0.191)	Loss 4.9763 (5.0370)	Prec@1 5.078 (4.424)	Prec@5 16.016 (15.357)
Epoch: [5][3150/7045]	Time 0.755 (0.256)	Data 0.704 (0.191)	Loss 5.2366 (5.0372)	Prec@1 3.516 (4.423)	Prec@5 10.938 (15.353)
Epoch: [5][3160/7045]	Time 0.100 (0.256)	Data 0.001 (0.191)	Loss 5.0341 (5.0373)	Prec@1 4.688 (4.421)	Prec@5 20.312 (15.351)
Epoch: [5][3170/7045]	Time 0.514 (0.256)	Data 0.460 (0.191)	Loss 5.0726 (5.0375)	Prec@1 3.906 (4.419)	Prec@5 14.453 (15.349)
Epoch: [5][3180/7045]	Time 0.127 (0.256)	Data 0.076 (0.191)	Loss 5.0490 (5.0375)	Prec@1 2.344 (4.415)	Prec@5 14.062 (15.346)
Epoch: [5][3190/7045]	Time 0.506 (0.256)	Data 0.456 (0.191)	Loss 4.9078 (5.0377)	Prec@1 5.469 (4.415)	Prec@5 17.969 (15.343)
Epoch: [5][3200/7045]	Time 0.127 (0.256)	Data 0.076 (0.191)	Loss 5.0590 (5.0375)	Prec@1 3.906 (4.417)	Prec@5 13.672 (15.347)
Epoch: [5][3210/7045]	Time 0.290 (0.256)	Data 0.239 (0.191)	Loss 4.9153 (5.0372)	Prec@1 3.516 (4.418)	Prec@5 16.016 (15.351)
Epoch: [5][3220/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 5.0432 (5.0373)	Prec@1 2.344 (4.417)	Prec@5 16.797 (15.352)
Epoch: [5][3230/7045]	Time 0.101 (0.256)	Data 0.005 (0.191)	Loss 4.9185 (5.0372)	Prec@1 5.469 (4.419)	Prec@5 16.797 (15.357)
Epoch: [5][3240/7045]	Time 0.413 (0.256)	Data 0.355 (0.191)	Loss 5.0678 (5.0372)	Prec@1 2.734 (4.418)	Prec@5 14.844 (15.357)
Epoch: [5][3250/7045]	Time 0.103 (0.256)	Data 0.001 (0.191)	Loss 4.8582 (5.0370)	Prec@1 5.078 (4.421)	Prec@5 17.578 (15.364)
Epoch: [5][3260/7045]	Time 0.400 (0.256)	Data 0.337 (0.191)	Loss 5.0941 (5.0370)	Prec@1 3.906 (4.422)	Prec@5 14.453 (15.366)
Epoch: [5][3270/7045]	Time 0.285 (0.256)	Data 0.235 (0.191)	Loss 5.0294 (5.0369)	Prec@1 4.688 (4.424)	Prec@5 15.234 (15.365)
Epoch: [5][3280/7045]	Time 0.102 (0.256)	Data 0.009 (0.191)	Loss 5.1277 (5.0369)	Prec@1 2.734 (4.424)	Prec@5 16.406 (15.367)
Epoch: [5][3290/7045]	Time 0.202 (0.256)	Data 0.144 (0.191)	Loss 4.9486 (5.0367)	Prec@1 4.688 (4.424)	Prec@5 17.578 (15.369)
Epoch: [5][3300/7045]	Time 0.104 (0.256)	Data 0.053 (0.191)	Loss 5.1094 (5.0368)	Prec@1 2.734 (4.422)	Prec@5 13.281 (15.366)
Epoch: [5][3310/7045]	Time 0.191 (0.256)	Data 0.139 (0.191)	Loss 5.0483 (5.0371)	Prec@1 5.078 (4.421)	Prec@5 16.406 (15.361)
Epoch: [5][3320/7045]	Time 0.132 (0.256)	Data 0.080 (0.191)	Loss 5.0144 (5.0373)	Prec@1 3.906 (4.420)	Prec@5 15.625 (15.356)
Epoch: [5][3330/7045]	Time 0.306 (0.256)	Data 0.255 (0.191)	Loss 5.0102 (5.0373)	Prec@1 3.125 (4.418)	Prec@5 13.672 (15.356)
Epoch: [5][3340/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 5.1087 (5.0374)	Prec@1 1.953 (4.418)	Prec@5 12.891 (15.357)
Epoch: [5][3350/7045]	Time 0.464 (0.256)	Data 0.414 (0.191)	Loss 5.0802 (5.0375)	Prec@1 3.516 (4.416)	Prec@5 13.281 (15.355)
Epoch: [5][3360/7045]	Time 0.112 (0.256)	Data 0.001 (0.191)	Loss 4.9357 (5.0375)	Prec@1 5.469 (4.416)	Prec@5 19.141 (15.354)
Epoch: [5][3370/7045]	Time 0.592 (0.256)	Data 0.541 (0.191)	Loss 5.0558 (5.0376)	Prec@1 1.172 (4.415)	Prec@5 15.234 (15.354)
Epoch: [5][3380/7045]	Time 0.178 (0.256)	Data 0.127 (0.191)	Loss 4.9901 (5.0375)	Prec@1 2.344 (4.414)	Prec@5 17.188 (15.358)
Epoch: [5][3390/7045]	Time 0.562 (0.256)	Data 0.511 (0.191)	Loss 4.9037 (5.0373)	Prec@1 4.688 (4.416)	Prec@5 14.844 (15.360)
Epoch: [5][3400/7045]	Time 0.101 (0.256)	Data 0.001 (0.191)	Loss 5.0336 (5.0374)	Prec@1 2.734 (4.415)	Prec@5 13.672 (15.360)
Epoch: [5][3410/7045]	Time 0.423 (0.256)	Data 0.372 (0.191)	Loss 4.9645 (5.0374)	Prec@1 5.078 (4.417)	Prec@5 16.797 (15.360)
Epoch: [5][3420/7045]	Time 0.173 (0.256)	Data 0.122 (0.191)	Loss 4.9694 (5.0373)	Prec@1 1.562 (4.417)	Prec@5 10.156 (15.358)
Epoch: [5][3430/7045]	Time 0.100 (0.256)	Data 0.043 (0.191)	Loss 5.0535 (5.0373)	Prec@1 3.516 (4.417)	Prec@5 12.891 (15.357)
Epoch: [5][3440/7045]	Time 0.360 (0.256)	Data 0.309 (0.191)	Loss 4.9120 (5.0373)	Prec@1 4.688 (4.417)	Prec@5 16.406 (15.357)
Epoch: [5][3450/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 4.9836 (5.0375)	Prec@1 5.859 (4.415)	Prec@5 16.797 (15.353)
Epoch: [5][3460/7045]	Time 0.102 (0.256)	Data 0.051 (0.191)	Loss 5.0479 (5.0376)	Prec@1 3.906 (4.416)	Prec@5 13.281 (15.352)
Epoch: [5][3470/7045]	Time 0.273 (0.256)	Data 0.223 (0.191)	Loss 4.9540 (5.0374)	Prec@1 5.078 (4.418)	Prec@5 16.797 (15.352)
Epoch: [5][3480/7045]	Time 0.100 (0.256)	Data 0.001 (0.191)	Loss 5.0727 (5.0375)	Prec@1 5.859 (4.414)	Prec@5 13.281 (15.348)
Epoch: [5][3490/7045]	Time 0.215 (0.256)	Data 0.164 (0.191)	Loss 4.9205 (5.0374)	Prec@1 4.297 (4.413)	Prec@5 15.234 (15.347)
Epoch: [5][3500/7045]	Time 0.576 (0.256)	Data 0.525 (0.191)	Loss 5.1078 (5.0375)	Prec@1 5.469 (4.412)	Prec@5 14.453 (15.345)
Epoch: [5][3510/7045]	Time 0.101 (0.256)	Data 0.002 (0.191)	Loss 4.9059 (5.0374)	Prec@1 4.297 (4.412)	Prec@5 14.844 (15.345)
Epoch: [5][3520/7045]	Time 0.102 (0.256)	Data 0.004 (0.191)	Loss 4.9663 (5.0372)	Prec@1 5.078 (4.412)	Prec@5 17.188 (15.347)
Epoch: [5][3530/7045]	Time 0.152 (0.256)	Data 0.094 (0.191)	Loss 4.9597 (5.0370)	Prec@1 8.203 (4.415)	Prec@5 19.141 (15.353)
Epoch: [5][3540/7045]	Time 0.102 (0.256)	Data 0.013 (0.191)	Loss 5.0362 (5.0370)	Prec@1 4.688 (4.414)	Prec@5 16.406 (15.354)
Epoch: [5][3550/7045]	Time 0.101 (0.256)	Data 0.010 (0.191)	Loss 5.0019 (5.0373)	Prec@1 7.031 (4.412)	Prec@5 14.453 (15.350)
Epoch: [5][3560/7045]	Time 0.260 (0.256)	Data 0.209 (0.191)	Loss 4.9794 (5.0374)	Prec@1 5.469 (4.411)	Prec@5 19.922 (15.352)
Epoch: [5][3570/7045]	Time 0.206 (0.256)	Data 0.155 (0.191)	Loss 5.0282 (5.0375)	Prec@1 3.906 (4.409)	Prec@5 14.453 (15.348)
Epoch: [5][3580/7045]	Time 0.249 (0.256)	Data 0.198 (0.191)	Loss 5.0587 (5.0375)	Prec@1 3.516 (4.410)	Prec@5 15.234 (15.351)
Epoch: [5][3590/7045]	Time 0.102 (0.256)	Data 0.008 (0.191)	Loss 5.0567 (5.0374)	Prec@1 5.469 (4.410)	Prec@5 16.406 (15.354)
Epoch: [5][3600/7045]	Time 0.349 (0.256)	Data 0.297 (0.191)	Loss 5.0877 (5.0373)	Prec@1 3.906 (4.410)	Prec@5 14.844 (15.357)
Epoch: [5][3610/7045]	Time 0.106 (0.256)	Data 0.053 (0.191)	Loss 4.9885 (5.0374)	Prec@1 2.734 (4.411)	Prec@5 16.797 (15.357)
Epoch: [5][3620/7045]	Time 0.110 (0.256)	Data 0.001 (0.191)	Loss 5.0509 (5.0373)	Prec@1 4.297 (4.412)	Prec@5 14.062 (15.361)
Epoch: [5][3630/7045]	Time 0.266 (0.256)	Data 0.216 (0.191)	Loss 5.0833 (5.0374)	Prec@1 3.125 (4.411)	Prec@5 14.844 (15.360)
Epoch: [5][3640/7045]	Time 0.102 (0.256)	Data 0.051 (0.191)	Loss 5.0190 (5.0373)	Prec@1 4.688 (4.412)	Prec@5 15.234 (15.362)
Epoch: [5][3650/7045]	Time 0.444 (0.256)	Data 0.392 (0.191)	Loss 4.8626 (5.0371)	Prec@1 3.906 (4.414)	Prec@5 18.359 (15.367)
Epoch: [5][3660/7045]	Time 0.374 (0.256)	Data 0.324 (0.191)	Loss 5.0831 (5.0370)	Prec@1 5.469 (4.416)	Prec@5 12.891 (15.369)
Epoch: [5][3670/7045]	Time 0.335 (0.256)	Data 0.284 (0.191)	Loss 5.0394 (5.0369)	Prec@1 4.688 (4.416)	Prec@5 18.359 (15.372)
Epoch: [5][3680/7045]	Time 0.273 (0.256)	Data 0.221 (0.191)	Loss 4.8815 (5.0368)	Prec@1 7.031 (4.416)	Prec@5 22.266 (15.377)
Epoch: [5][3690/7045]	Time 0.135 (0.256)	Data 0.083 (0.191)	Loss 5.1864 (5.0369)	Prec@1 3.125 (4.415)	Prec@5 15.625 (15.377)
Epoch: [5][3700/7045]	Time 0.102 (0.256)	Data 0.021 (0.191)	Loss 5.1922 (5.0371)	Prec@1 4.688 (4.415)	Prec@5 13.281 (15.374)
Epoch: [5][3710/7045]	Time 0.170 (0.256)	Data 0.120 (0.191)	Loss 4.9083 (5.0372)	Prec@1 6.250 (4.416)	Prec@5 17.578 (15.373)
Epoch: [5][3720/7045]	Time 0.101 (0.256)	Data 0.001 (0.191)	Loss 5.1650 (5.0373)	Prec@1 3.125 (4.416)	Prec@5 14.844 (15.371)
Epoch: [5][3730/7045]	Time 0.250 (0.256)	Data 0.199 (0.191)	Loss 5.1387 (5.0372)	Prec@1 2.734 (4.414)	Prec@5 11.328 (15.369)
Epoch: [5][3740/7045]	Time 0.178 (0.256)	Data 0.127 (0.191)	Loss 4.9467 (5.0371)	Prec@1 4.297 (4.415)	Prec@5 16.406 (15.369)
Epoch: [5][3750/7045]	Time 0.523 (0.256)	Data 0.463 (0.191)	Loss 5.0903 (5.0369)	Prec@1 4.688 (4.416)	Prec@5 12.891 (15.372)
Epoch: [5][3760/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 5.0554 (5.0369)	Prec@1 5.469 (4.417)	Prec@5 14.453 (15.372)
Epoch: [5][3770/7045]	Time 0.626 (0.256)	Data 0.575 (0.191)	Loss 5.0817 (5.0369)	Prec@1 4.297 (4.416)	Prec@5 17.188 (15.372)
Epoch: [5][3780/7045]	Time 0.107 (0.256)	Data 0.055 (0.191)	Loss 5.0535 (5.0369)	Prec@1 2.734 (4.415)	Prec@5 14.062 (15.374)
Epoch: [5][3790/7045]	Time 0.574 (0.256)	Data 0.514 (0.191)	Loss 5.0659 (5.0369)	Prec@1 3.125 (4.417)	Prec@5 12.891 (15.376)
Epoch: [5][3800/7045]	Time 0.101 (0.256)	Data 0.017 (0.191)	Loss 5.1557 (5.0369)	Prec@1 4.688 (4.417)	Prec@5 14.844 (15.375)
Epoch: [5][3810/7045]	Time 0.249 (0.256)	Data 0.199 (0.191)	Loss 4.9955 (5.0368)	Prec@1 5.078 (4.417)	Prec@5 14.844 (15.377)
Epoch: [5][3820/7045]	Time 0.340 (0.256)	Data 0.290 (0.191)	Loss 5.1610 (5.0368)	Prec@1 3.906 (4.417)	Prec@5 10.938 (15.377)
Epoch: [5][3830/7045]	Time 0.103 (0.256)	Data 0.027 (0.191)	Loss 5.0128 (5.0368)	Prec@1 2.734 (4.416)	Prec@5 14.844 (15.375)
Epoch: [5][3840/7045]	Time 0.501 (0.256)	Data 0.442 (0.191)	Loss 5.0492 (5.0369)	Prec@1 5.078 (4.414)	Prec@5 14.844 (15.372)
Epoch: [5][3850/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 5.0219 (5.0369)	Prec@1 3.906 (4.412)	Prec@5 13.672 (15.373)
Epoch: [5][3860/7045]	Time 0.503 (0.256)	Data 0.442 (0.191)	Loss 5.1036 (5.0369)	Prec@1 1.953 (4.412)	Prec@5 14.844 (15.376)
Epoch: [5][3870/7045]	Time 0.143 (0.256)	Data 0.092 (0.191)	Loss 5.0160 (5.0368)	Prec@1 4.688 (4.412)	Prec@5 12.500 (15.375)
Epoch: [5][3880/7045]	Time 0.237 (0.256)	Data 0.185 (0.191)	Loss 4.9991 (5.0367)	Prec@1 3.906 (4.413)	Prec@5 16.016 (15.376)
Epoch: [5][3890/7045]	Time 0.310 (0.256)	Data 0.259 (0.191)	Loss 4.9163 (5.0367)	Prec@1 7.031 (4.414)	Prec@5 19.922 (15.379)
Epoch: [5][3900/7045]	Time 0.102 (0.256)	Data 0.005 (0.191)	Loss 4.8547 (5.0367)	Prec@1 4.297 (4.414)	Prec@5 17.969 (15.379)
Epoch: [5][3910/7045]	Time 0.385 (0.256)	Data 0.334 (0.191)	Loss 5.1329 (5.0367)	Prec@1 3.125 (4.414)	Prec@5 15.625 (15.382)
Epoch: [5][3920/7045]	Time 0.101 (0.256)	Data 0.001 (0.191)	Loss 5.1311 (5.0366)	Prec@1 4.688 (4.413)	Prec@5 14.844 (15.382)
Epoch: [5][3930/7045]	Time 0.103 (0.256)	Data 0.010 (0.191)	Loss 5.0332 (5.0367)	Prec@1 3.125 (4.412)	Prec@5 13.672 (15.379)
Epoch: [5][3940/7045]	Time 0.186 (0.256)	Data 0.135 (0.191)	Loss 5.0023 (5.0366)	Prec@1 5.078 (4.414)	Prec@5 17.188 (15.379)
Epoch: [5][3950/7045]	Time 0.109 (0.256)	Data 0.009 (0.191)	Loss 5.0042 (5.0366)	Prec@1 2.734 (4.414)	Prec@5 16.406 (15.380)
Epoch: [5][3960/7045]	Time 0.351 (0.256)	Data 0.300 (0.191)	Loss 4.9727 (5.0364)	Prec@1 4.688 (4.416)	Prec@5 12.109 (15.383)
Epoch: [5][3970/7045]	Time 0.154 (0.256)	Data 0.103 (0.191)	Loss 5.0023 (5.0363)	Prec@1 4.688 (4.417)	Prec@5 17.578 (15.385)
Epoch: [5][3980/7045]	Time 0.308 (0.256)	Data 0.257 (0.191)	Loss 5.2691 (5.0364)	Prec@1 1.953 (4.417)	Prec@5 10.156 (15.386)
Epoch: [5][3990/7045]	Time 0.349 (0.256)	Data 0.298 (0.191)	Loss 5.0127 (5.0364)	Prec@1 6.250 (4.417)	Prec@5 17.969 (15.387)
Epoch: [5][4000/7045]	Time 0.103 (0.256)	Data 0.001 (0.191)	Loss 4.8747 (5.0363)	Prec@1 4.688 (4.419)	Prec@5 18.750 (15.388)
Epoch: [5][4010/7045]	Time 0.525 (0.256)	Data 0.472 (0.191)	Loss 4.9426 (5.0362)	Prec@1 5.469 (4.420)	Prec@5 19.141 (15.388)
Epoch: [5][4020/7045]	Time 0.402 (0.256)	Data 0.351 (0.191)	Loss 5.0779 (5.0362)	Prec@1 4.688 (4.421)	Prec@5 14.844 (15.386)
Epoch: [5][4030/7045]	Time 0.100 (0.256)	Data 0.047 (0.191)	Loss 5.2482 (5.0361)	Prec@1 2.344 (4.420)	Prec@5 12.500 (15.389)
Epoch: [5][4040/7045]	Time 0.675 (0.256)	Data 0.625 (0.191)	Loss 5.1086 (5.0364)	Prec@1 3.516 (4.417)	Prec@5 14.062 (15.385)
Epoch: [5][4050/7045]	Time 0.108 (0.256)	Data 0.013 (0.191)	Loss 5.0913 (5.0364)	Prec@1 4.297 (4.419)	Prec@5 15.625 (15.388)
Epoch: [5][4060/7045]	Time 0.570 (0.256)	Data 0.520 (0.191)	Loss 5.0752 (5.0364)	Prec@1 4.688 (4.419)	Prec@5 13.672 (15.387)
Epoch: [5][4070/7045]	Time 0.132 (0.256)	Data 0.082 (0.191)	Loss 5.0825 (5.0365)	Prec@1 4.297 (4.419)	Prec@5 11.719 (15.387)
Epoch: [5][4080/7045]	Time 0.271 (0.256)	Data 0.221 (0.191)	Loss 5.0959 (5.0365)	Prec@1 3.516 (4.419)	Prec@5 10.547 (15.386)
Epoch: [5][4090/7045]	Time 0.115 (0.256)	Data 0.065 (0.191)	Loss 5.1256 (5.0366)	Prec@1 3.125 (4.417)	Prec@5 14.453 (15.383)
Epoch: [5][4100/7045]	Time 0.104 (0.256)	Data 0.052 (0.191)	Loss 5.1682 (5.0367)	Prec@1 3.125 (4.415)	Prec@5 13.281 (15.382)
Epoch: [5][4110/7045]	Time 0.102 (0.256)	Data 0.050 (0.191)	Loss 4.9657 (5.0367)	Prec@1 6.641 (4.416)	Prec@5 21.094 (15.383)
Epoch: [5][4120/7045]	Time 0.207 (0.256)	Data 0.156 (0.191)	Loss 5.0818 (5.0367)	Prec@1 6.641 (4.417)	Prec@5 16.406 (15.385)
Epoch: [5][4130/7045]	Time 0.380 (0.256)	Data 0.328 (0.191)	Loss 5.1520 (5.0367)	Prec@1 3.125 (4.417)	Prec@5 14.062 (15.387)
Epoch: [5][4140/7045]	Time 0.102 (0.256)	Data 0.004 (0.191)	Loss 4.9538 (5.0368)	Prec@1 6.641 (4.415)	Prec@5 16.797 (15.384)
Epoch: [5][4150/7045]	Time 0.143 (0.256)	Data 0.092 (0.191)	Loss 5.0691 (5.0369)	Prec@1 2.734 (4.413)	Prec@5 12.891 (15.381)
Epoch: [5][4160/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 5.0861 (5.0369)	Prec@1 4.688 (4.413)	Prec@5 14.062 (15.380)
Epoch: [5][4170/7045]	Time 0.108 (0.256)	Data 0.056 (0.191)	Loss 5.0263 (5.0371)	Prec@1 4.688 (4.413)	Prec@5 16.797 (15.379)
Epoch: [5][4180/7045]	Time 0.254 (0.256)	Data 0.203 (0.191)	Loss 5.0751 (5.0371)	Prec@1 3.125 (4.414)	Prec@5 15.234 (15.379)
Epoch: [5][4190/7045]	Time 0.146 (0.256)	Data 0.095 (0.191)	Loss 5.0688 (5.0371)	Prec@1 4.688 (4.413)	Prec@5 15.625 (15.378)
Epoch: [5][4200/7045]	Time 0.358 (0.256)	Data 0.306 (0.191)	Loss 5.0179 (5.0369)	Prec@1 4.688 (4.414)	Prec@5 15.625 (15.379)
Epoch: [5][4210/7045]	Time 0.236 (0.256)	Data 0.186 (0.191)	Loss 5.0896 (5.0369)	Prec@1 3.906 (4.415)	Prec@5 12.500 (15.380)
Epoch: [5][4220/7045]	Time 0.102 (0.256)	Data 0.050 (0.191)	Loss 5.0654 (5.0369)	Prec@1 3.516 (4.414)	Prec@5 16.406 (15.379)
Epoch: [5][4230/7045]	Time 0.255 (0.256)	Data 0.204 (0.191)	Loss 5.0519 (5.0370)	Prec@1 3.516 (4.415)	Prec@5 14.062 (15.379)
Epoch: [5][4240/7045]	Time 0.101 (0.256)	Data 0.047 (0.191)	Loss 4.9267 (5.0371)	Prec@1 2.734 (4.415)	Prec@5 17.188 (15.380)
Epoch: [5][4250/7045]	Time 0.127 (0.256)	Data 0.075 (0.191)	Loss 5.0032 (5.0370)	Prec@1 5.859 (4.415)	Prec@5 15.625 (15.381)
Epoch: [5][4260/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 4.9133 (5.0370)	Prec@1 4.688 (4.414)	Prec@5 15.234 (15.378)
Epoch: [5][4270/7045]	Time 0.103 (0.256)	Data 0.012 (0.191)	Loss 4.8878 (5.0369)	Prec@1 7.422 (4.417)	Prec@5 21.484 (15.381)
Epoch: [5][4280/7045]	Time 0.115 (0.256)	Data 0.065 (0.191)	Loss 5.0875 (5.0370)	Prec@1 3.125 (4.415)	Prec@5 15.234 (15.379)
Epoch: [5][4290/7045]	Time 0.102 (0.256)	Data 0.006 (0.191)	Loss 5.0344 (5.0369)	Prec@1 4.297 (4.414)	Prec@5 15.234 (15.377)
Epoch: [5][4300/7045]	Time 0.357 (0.256)	Data 0.307 (0.191)	Loss 4.9648 (5.0368)	Prec@1 3.516 (4.416)	Prec@5 14.062 (15.380)
Epoch: [5][4310/7045]	Time 0.101 (0.255)	Data 0.001 (0.191)	Loss 5.1350 (5.0368)	Prec@1 3.516 (4.415)	Prec@5 12.109 (15.379)
Epoch: [5][4320/7045]	Time 0.116 (0.256)	Data 0.065 (0.191)	Loss 5.2079 (5.0369)	Prec@1 4.688 (4.414)	Prec@5 12.109 (15.379)
Epoch: [5][4330/7045]	Time 0.100 (0.256)	Data 0.045 (0.191)	Loss 5.0226 (5.0368)	Prec@1 2.344 (4.414)	Prec@5 12.109 (15.380)
Epoch: [5][4340/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 5.1757 (5.0369)	Prec@1 3.516 (4.414)	Prec@5 12.109 (15.378)
Epoch: [5][4350/7045]	Time 0.102 (0.256)	Data 0.006 (0.191)	Loss 5.0236 (5.0369)	Prec@1 2.344 (4.413)	Prec@5 18.750 (15.378)
Epoch: [5][4360/7045]	Time 0.591 (0.256)	Data 0.539 (0.191)	Loss 5.1964 (5.0369)	Prec@1 2.344 (4.411)	Prec@5 10.156 (15.376)
Epoch: [5][4370/7045]	Time 0.101 (0.256)	Data 0.001 (0.191)	Loss 5.0658 (5.0370)	Prec@1 5.078 (4.411)	Prec@5 16.797 (15.376)
Epoch: [5][4380/7045]	Time 0.667 (0.256)	Data 0.608 (0.191)	Loss 5.0701 (5.0370)	Prec@1 3.125 (4.412)	Prec@5 14.062 (15.376)
Epoch: [5][4390/7045]	Time 0.102 (0.255)	Data 0.010 (0.191)	Loss 5.0113 (5.0371)	Prec@1 5.078 (4.411)	Prec@5 17.969 (15.374)
Epoch: [5][4400/7045]	Time 0.622 (0.256)	Data 0.570 (0.191)	Loss 4.9102 (5.0371)	Prec@1 6.250 (4.411)	Prec@5 20.703 (15.374)
Epoch: [5][4410/7045]	Time 0.162 (0.255)	Data 0.111 (0.191)	Loss 5.2262 (5.0371)	Prec@1 3.906 (4.412)	Prec@5 12.109 (15.375)
Epoch: [5][4420/7045]	Time 0.564 (0.256)	Data 0.513 (0.191)	Loss 4.9911 (5.0369)	Prec@1 4.297 (4.412)	Prec@5 14.062 (15.378)
Epoch: [5][4430/7045]	Time 0.108 (0.255)	Data 0.001 (0.191)	Loss 4.9928 (5.0369)	Prec@1 4.688 (4.413)	Prec@5 16.016 (15.380)
Epoch: [5][4440/7045]	Time 0.485 (0.255)	Data 0.434 (0.191)	Loss 5.0365 (5.0371)	Prec@1 4.297 (4.412)	Prec@5 15.625 (15.377)
Epoch: [5][4450/7045]	Time 0.106 (0.255)	Data 0.053 (0.191)	Loss 5.1602 (5.0370)	Prec@1 4.688 (4.412)	Prec@5 16.016 (15.377)
Epoch: [5][4460/7045]	Time 0.108 (0.255)	Data 0.057 (0.191)	Loss 4.8997 (5.0369)	Prec@1 5.469 (4.413)	Prec@5 18.750 (15.377)
Epoch: [5][4470/7045]	Time 0.183 (0.255)	Data 0.132 (0.191)	Loss 5.0186 (5.0369)	Prec@1 3.516 (4.412)	Prec@5 10.547 (15.376)
Epoch: [5][4480/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 5.1279 (5.0370)	Prec@1 3.516 (4.411)	Prec@5 10.156 (15.374)
Epoch: [5][4490/7045]	Time 0.101 (0.255)	Data 0.006 (0.191)	Loss 5.0539 (5.0371)	Prec@1 3.906 (4.409)	Prec@5 12.109 (15.370)
Epoch: [5][4500/7045]	Time 0.103 (0.255)	Data 0.052 (0.191)	Loss 5.0660 (5.0371)	Prec@1 5.859 (4.410)	Prec@5 18.359 (15.371)
Epoch: [5][4510/7045]	Time 0.102 (0.255)	Data 0.049 (0.191)	Loss 5.0457 (5.0372)	Prec@1 5.859 (4.409)	Prec@5 14.844 (15.370)
Epoch: [5][4520/7045]	Time 0.102 (0.255)	Data 0.044 (0.191)	Loss 5.0001 (5.0371)	Prec@1 4.297 (4.409)	Prec@5 16.797 (15.370)
Epoch: [5][4530/7045]	Time 0.114 (0.255)	Data 0.063 (0.191)	Loss 5.0143 (5.0373)	Prec@1 4.688 (4.408)	Prec@5 13.672 (15.367)
Epoch: [5][4540/7045]	Time 0.146 (0.255)	Data 0.094 (0.191)	Loss 5.0214 (5.0374)	Prec@1 4.297 (4.405)	Prec@5 16.016 (15.364)
Epoch: [5][4550/7045]	Time 0.252 (0.255)	Data 0.200 (0.191)	Loss 5.0860 (5.0374)	Prec@1 4.688 (4.405)	Prec@5 12.891 (15.364)
Epoch: [5][4560/7045]	Time 0.111 (0.255)	Data 0.058 (0.191)	Loss 5.2781 (5.0376)	Prec@1 1.562 (4.405)	Prec@5 8.203 (15.362)
Epoch: [5][4570/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 4.9904 (5.0377)	Prec@1 5.859 (4.404)	Prec@5 12.891 (15.360)
Epoch: [5][4580/7045]	Time 0.216 (0.255)	Data 0.165 (0.191)	Loss 4.9193 (5.0375)	Prec@1 4.688 (4.405)	Prec@5 20.312 (15.362)
Epoch: [5][4590/7045]	Time 0.230 (0.255)	Data 0.179 (0.191)	Loss 5.1208 (5.0377)	Prec@1 3.516 (4.403)	Prec@5 12.891 (15.359)
Epoch: [5][4600/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 4.9670 (5.0376)	Prec@1 4.297 (4.404)	Prec@5 17.969 (15.360)
Epoch: [5][4610/7045]	Time 0.323 (0.255)	Data 0.272 (0.191)	Loss 5.0522 (5.0376)	Prec@1 4.297 (4.404)	Prec@5 13.672 (15.359)
Epoch: [5][4620/7045]	Time 0.107 (0.255)	Data 0.055 (0.191)	Loss 5.0215 (5.0375)	Prec@1 4.297 (4.405)	Prec@5 18.750 (15.362)
Epoch: [5][4630/7045]	Time 0.100 (0.255)	Data 0.041 (0.191)	Loss 5.0471 (5.0375)	Prec@1 3.125 (4.404)	Prec@5 16.016 (15.360)
Epoch: [5][4640/7045]	Time 0.350 (0.255)	Data 0.298 (0.191)	Loss 5.0187 (5.0375)	Prec@1 5.078 (4.404)	Prec@5 17.969 (15.361)
Epoch: [5][4650/7045]	Time 0.177 (0.255)	Data 0.127 (0.191)	Loss 5.0532 (5.0376)	Prec@1 3.906 (4.404)	Prec@5 16.016 (15.360)
Epoch: [5][4660/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 4.9768 (5.0376)	Prec@1 3.125 (4.403)	Prec@5 16.016 (15.356)
Epoch: [5][4670/7045]	Time 0.239 (0.255)	Data 0.189 (0.191)	Loss 5.0797 (5.0376)	Prec@1 4.688 (4.404)	Prec@5 13.672 (15.356)
Epoch: [5][4680/7045]	Time 0.122 (0.255)	Data 0.070 (0.191)	Loss 5.1024 (5.0377)	Prec@1 7.031 (4.405)	Prec@5 16.797 (15.356)
Epoch: [5][4690/7045]	Time 0.166 (0.255)	Data 0.115 (0.191)	Loss 5.1002 (5.0378)	Prec@1 5.078 (4.406)	Prec@5 16.016 (15.356)
Epoch: [5][4700/7045]	Time 0.315 (0.255)	Data 0.264 (0.191)	Loss 4.9811 (5.0380)	Prec@1 4.688 (4.403)	Prec@5 17.969 (15.353)
Epoch: [5][4710/7045]	Time 0.397 (0.255)	Data 0.346 (0.191)	Loss 4.8861 (5.0379)	Prec@1 6.250 (4.405)	Prec@5 17.969 (15.355)
Epoch: [5][4720/7045]	Time 0.151 (0.255)	Data 0.100 (0.191)	Loss 5.1333 (5.0380)	Prec@1 3.906 (4.403)	Prec@5 13.672 (15.354)
Epoch: [5][4730/7045]	Time 0.761 (0.255)	Data 0.709 (0.191)	Loss 5.0620 (5.0381)	Prec@1 5.469 (4.403)	Prec@5 17.578 (15.353)
Epoch: [5][4740/7045]	Time 0.101 (0.255)	Data 0.001 (0.191)	Loss 5.0347 (5.0381)	Prec@1 4.297 (4.405)	Prec@5 12.891 (15.353)
Epoch: [5][4750/7045]	Time 0.519 (0.255)	Data 0.467 (0.191)	Loss 4.9647 (5.0381)	Prec@1 5.078 (4.404)	Prec@5 15.234 (15.351)
Epoch: [5][4760/7045]	Time 0.123 (0.255)	Data 0.061 (0.191)	Loss 4.9745 (5.0380)	Prec@1 6.641 (4.405)	Prec@5 16.016 (15.352)
Epoch: [5][4770/7045]	Time 0.435 (0.255)	Data 0.384 (0.191)	Loss 4.9335 (5.0381)	Prec@1 5.078 (4.405)	Prec@5 19.141 (15.352)
Epoch: [5][4780/7045]	Time 0.313 (0.255)	Data 0.261 (0.191)	Loss 4.9571 (5.0379)	Prec@1 4.688 (4.406)	Prec@5 15.234 (15.355)
Epoch: [5][4790/7045]	Time 0.142 (0.255)	Data 0.090 (0.191)	Loss 4.9438 (5.0378)	Prec@1 5.469 (4.406)	Prec@5 19.531 (15.356)
Epoch: [5][4800/7045]	Time 0.510 (0.255)	Data 0.459 (0.191)	Loss 4.9652 (5.0378)	Prec@1 5.078 (4.405)	Prec@5 17.578 (15.356)
Epoch: [5][4810/7045]	Time 0.239 (0.255)	Data 0.188 (0.191)	Loss 5.0763 (5.0378)	Prec@1 5.078 (4.404)	Prec@5 17.188 (15.356)
Epoch: [5][4820/7045]	Time 0.286 (0.255)	Data 0.225 (0.191)	Loss 5.1846 (5.0380)	Prec@1 3.125 (4.404)	Prec@5 10.547 (15.352)
Epoch: [5][4830/7045]	Time 0.142 (0.255)	Data 0.090 (0.191)	Loss 5.0261 (5.0380)	Prec@1 3.125 (4.404)	Prec@5 15.234 (15.353)
Epoch: [5][4840/7045]	Time 0.185 (0.255)	Data 0.135 (0.191)	Loss 5.0657 (5.0381)	Prec@1 2.734 (4.402)	Prec@5 13.281 (15.352)
Epoch: [5][4850/7045]	Time 0.227 (0.255)	Data 0.176 (0.191)	Loss 5.0640 (5.0381)	Prec@1 5.859 (4.403)	Prec@5 16.406 (15.353)
Epoch: [5][4860/7045]	Time 0.666 (0.255)	Data 0.613 (0.191)	Loss 5.1863 (5.0382)	Prec@1 2.734 (4.402)	Prec@5 11.719 (15.351)
Epoch: [5][4870/7045]	Time 0.220 (0.255)	Data 0.169 (0.191)	Loss 5.0879 (5.0383)	Prec@1 5.469 (4.402)	Prec@5 16.406 (15.351)
Epoch: [5][4880/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 4.9722 (5.0382)	Prec@1 4.688 (4.402)	Prec@5 19.141 (15.354)
Epoch: [5][4890/7045]	Time 0.166 (0.255)	Data 0.114 (0.191)	Loss 5.0543 (5.0381)	Prec@1 3.125 (4.404)	Prec@5 13.672 (15.356)
Epoch: [5][4900/7045]	Time 0.559 (0.255)	Data 0.509 (0.191)	Loss 5.0803 (5.0380)	Prec@1 4.688 (4.405)	Prec@5 12.109 (15.358)
Epoch: [5][4910/7045]	Time 0.169 (0.255)	Data 0.117 (0.191)	Loss 4.9983 (5.0379)	Prec@1 4.688 (4.406)	Prec@5 16.406 (15.360)
Epoch: [5][4920/7045]	Time 0.527 (0.255)	Data 0.476 (0.191)	Loss 5.0813 (5.0379)	Prec@1 3.906 (4.406)	Prec@5 16.016 (15.360)
Epoch: [5][4930/7045]	Time 0.102 (0.255)	Data 0.020 (0.191)	Loss 4.9836 (5.0378)	Prec@1 6.250 (4.408)	Prec@5 18.359 (15.361)
Epoch: [5][4940/7045]	Time 0.102 (0.255)	Data 0.006 (0.191)	Loss 5.0026 (5.0378)	Prec@1 3.906 (4.407)	Prec@5 11.719 (15.358)
Epoch: [5][4950/7045]	Time 0.277 (0.255)	Data 0.226 (0.191)	Loss 5.1750 (5.0378)	Prec@1 2.734 (4.407)	Prec@5 10.938 (15.357)
Epoch: [5][4960/7045]	Time 0.101 (0.255)	Data 0.048 (0.191)	Loss 5.0080 (5.0378)	Prec@1 3.906 (4.406)	Prec@5 16.016 (15.356)
Epoch: [5][4970/7045]	Time 0.270 (0.255)	Data 0.218 (0.191)	Loss 5.1024 (5.0378)	Prec@1 2.734 (4.408)	Prec@5 12.891 (15.357)
Epoch: [5][4980/7045]	Time 0.150 (0.255)	Data 0.099 (0.191)	Loss 5.0101 (5.0378)	Prec@1 3.516 (4.408)	Prec@5 16.016 (15.358)
Epoch: [5][4990/7045]	Time 0.284 (0.255)	Data 0.228 (0.191)	Loss 4.9490 (5.0377)	Prec@1 5.078 (4.409)	Prec@5 15.625 (15.358)
Epoch: [5][5000/7045]	Time 0.101 (0.255)	Data 0.001 (0.191)	Loss 5.0590 (5.0376)	Prec@1 4.688 (4.410)	Prec@5 14.844 (15.358)
Epoch: [5][5010/7045]	Time 0.172 (0.255)	Data 0.122 (0.191)	Loss 4.9288 (5.0375)	Prec@1 3.125 (4.412)	Prec@5 16.016 (15.359)
Epoch: [5][5020/7045]	Time 0.103 (0.255)	Data 0.001 (0.191)	Loss 4.9938 (5.0375)	Prec@1 5.469 (4.411)	Prec@5 16.797 (15.359)
Epoch: [5][5030/7045]	Time 0.165 (0.255)	Data 0.113 (0.191)	Loss 5.0680 (5.0376)	Prec@1 3.906 (4.412)	Prec@5 13.672 (15.357)
Epoch: [5][5040/7045]	Time 0.117 (0.255)	Data 0.067 (0.191)	Loss 5.2344 (5.0375)	Prec@1 2.734 (4.412)	Prec@5 9.766 (15.357)
Epoch: [5][5050/7045]	Time 0.360 (0.255)	Data 0.309 (0.191)	Loss 5.0337 (5.0375)	Prec@1 5.859 (4.413)	Prec@5 15.625 (15.358)
Epoch: [5][5060/7045]	Time 0.445 (0.255)	Data 0.393 (0.191)	Loss 5.0393 (5.0375)	Prec@1 5.469 (4.413)	Prec@5 15.625 (15.359)
Epoch: [5][5070/7045]	Time 0.161 (0.255)	Data 0.110 (0.191)	Loss 5.0417 (5.0375)	Prec@1 4.297 (4.415)	Prec@5 14.453 (15.360)
Epoch: [5][5080/7045]	Time 0.820 (0.255)	Data 0.768 (0.191)	Loss 5.1195 (5.0376)	Prec@1 5.469 (4.415)	Prec@5 17.188 (15.360)
Epoch: [5][5090/7045]	Time 0.123 (0.255)	Data 0.072 (0.191)	Loss 5.1564 (5.0376)	Prec@1 4.688 (4.415)	Prec@5 11.719 (15.359)
Epoch: [5][5100/7045]	Time 0.418 (0.255)	Data 0.361 (0.191)	Loss 5.1039 (5.0377)	Prec@1 5.078 (4.415)	Prec@5 12.109 (15.356)
Epoch: [5][5110/7045]	Time 0.473 (0.255)	Data 0.423 (0.191)	Loss 5.1148 (5.0377)	Prec@1 2.734 (4.414)	Prec@5 12.500 (15.354)
Epoch: [5][5120/7045]	Time 0.103 (0.255)	Data 0.001 (0.191)	Loss 5.0833 (5.0376)	Prec@1 4.688 (4.414)	Prec@5 12.500 (15.355)
Epoch: [5][5130/7045]	Time 0.533 (0.255)	Data 0.483 (0.191)	Loss 5.1047 (5.0377)	Prec@1 3.906 (4.412)	Prec@5 14.062 (15.354)
Epoch: [5][5140/7045]	Time 0.112 (0.255)	Data 0.001 (0.191)	Loss 5.0221 (5.0377)	Prec@1 4.297 (4.413)	Prec@5 16.016 (15.356)
Epoch: [5][5150/7045]	Time 0.646 (0.255)	Data 0.594 (0.191)	Loss 5.0295 (5.0376)	Prec@1 5.859 (4.414)	Prec@5 15.625 (15.358)
Epoch: [5][5160/7045]	Time 0.111 (0.255)	Data 0.060 (0.191)	Loss 5.0559 (5.0377)	Prec@1 3.516 (4.414)	Prec@5 16.406 (15.358)
Epoch: [5][5170/7045]	Time 0.346 (0.255)	Data 0.294 (0.191)	Loss 5.1823 (5.0378)	Prec@1 4.297 (4.413)	Prec@5 12.891 (15.356)
Epoch: [5][5180/7045]	Time 0.308 (0.255)	Data 0.256 (0.191)	Loss 5.0840 (5.0378)	Prec@1 2.344 (4.414)	Prec@5 11.719 (15.357)
Epoch: [5][5190/7045]	Time 0.158 (0.255)	Data 0.106 (0.191)	Loss 5.0514 (5.0377)	Prec@1 4.297 (4.414)	Prec@5 15.234 (15.359)
Epoch: [5][5200/7045]	Time 0.331 (0.255)	Data 0.280 (0.191)	Loss 5.0391 (5.0376)	Prec@1 3.906 (4.415)	Prec@5 15.625 (15.360)
Epoch: [5][5210/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 4.9834 (5.0374)	Prec@1 6.641 (4.415)	Prec@5 18.750 (15.363)
Epoch: [5][5220/7045]	Time 0.110 (0.255)	Data 0.014 (0.191)	Loss 4.7891 (5.0374)	Prec@1 4.688 (4.414)	Prec@5 20.312 (15.363)
Epoch: [5][5230/7045]	Time 0.101 (0.255)	Data 0.001 (0.191)	Loss 5.0470 (5.0374)	Prec@1 4.297 (4.414)	Prec@5 13.672 (15.363)
Epoch: [5][5240/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 4.9898 (5.0374)	Prec@1 5.078 (4.414)	Prec@5 15.234 (15.363)
Epoch: [5][5250/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 5.0968 (5.0376)	Prec@1 5.859 (4.412)	Prec@5 14.453 (15.360)
Epoch: [5][5260/7045]	Time 0.207 (0.255)	Data 0.156 (0.191)	Loss 5.1291 (5.0378)	Prec@1 2.734 (4.411)	Prec@5 12.500 (15.356)
Epoch: [5][5270/7045]	Time 0.146 (0.255)	Data 0.096 (0.191)	Loss 4.9657 (5.0378)	Prec@1 3.906 (4.411)	Prec@5 13.672 (15.355)
Epoch: [5][5280/7045]	Time 0.626 (0.255)	Data 0.575 (0.191)	Loss 5.0298 (5.0378)	Prec@1 4.688 (4.411)	Prec@5 16.016 (15.355)
Epoch: [5][5290/7045]	Time 0.173 (0.255)	Data 0.122 (0.191)	Loss 4.9063 (5.0378)	Prec@1 5.859 (4.411)	Prec@5 16.797 (15.354)
Epoch: [5][5300/7045]	Time 0.370 (0.255)	Data 0.319 (0.191)	Loss 4.9789 (5.0378)	Prec@1 2.344 (4.411)	Prec@5 14.844 (15.354)
Epoch: [5][5310/7045]	Time 0.406 (0.255)	Data 0.355 (0.191)	Loss 4.9145 (5.0378)	Prec@1 5.859 (4.410)	Prec@5 14.844 (15.352)
Epoch: [5][5320/7045]	Time 0.419 (0.255)	Data 0.367 (0.191)	Loss 5.0122 (5.0378)	Prec@1 5.859 (4.410)	Prec@5 15.625 (15.350)
Epoch: [5][5330/7045]	Time 0.174 (0.255)	Data 0.122 (0.191)	Loss 5.0564 (5.0378)	Prec@1 4.297 (4.410)	Prec@5 15.625 (15.351)
Epoch: [5][5340/7045]	Time 0.101 (0.255)	Data 0.005 (0.191)	Loss 5.1353 (5.0378)	Prec@1 5.078 (4.410)	Prec@5 12.500 (15.351)
Epoch: [5][5350/7045]	Time 0.109 (0.255)	Data 0.001 (0.191)	Loss 5.2034 (5.0378)	Prec@1 1.172 (4.410)	Prec@5 12.500 (15.350)
Epoch: [5][5360/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 4.9968 (5.0378)	Prec@1 4.688 (4.410)	Prec@5 16.016 (15.351)
Epoch: [5][5370/7045]	Time 0.371 (0.255)	Data 0.318 (0.191)	Loss 5.0550 (5.0379)	Prec@1 6.641 (4.410)	Prec@5 15.234 (15.350)
Epoch: [5][5380/7045]	Time 0.099 (0.255)	Data 0.001 (0.191)	Loss 5.0060 (5.0379)	Prec@1 5.078 (4.411)	Prec@5 15.625 (15.351)
Epoch: [5][5390/7045]	Time 0.712 (0.255)	Data 0.660 (0.191)	Loss 5.1878 (5.0380)	Prec@1 1.953 (4.410)	Prec@5 11.328 (15.350)
Epoch: [5][5400/7045]	Time 0.101 (0.255)	Data 0.001 (0.191)	Loss 5.0589 (5.0379)	Prec@1 3.125 (4.408)	Prec@5 16.406 (15.350)
Epoch: [5][5410/7045]	Time 0.109 (0.255)	Data 0.057 (0.191)	Loss 5.0023 (5.0379)	Prec@1 5.078 (4.410)	Prec@5 17.578 (15.352)
Epoch: [5][5420/7045]	Time 0.322 (0.255)	Data 0.271 (0.191)	Loss 4.9939 (5.0378)	Prec@1 5.469 (4.412)	Prec@5 15.625 (15.355)
Epoch: [5][5430/7045]	Time 0.101 (0.255)	Data 0.001 (0.191)	Loss 5.0982 (5.0378)	Prec@1 2.734 (4.410)	Prec@5 10.547 (15.354)
Epoch: [5][5440/7045]	Time 0.102 (0.255)	Data 0.019 (0.191)	Loss 5.2261 (5.0379)	Prec@1 3.906 (4.409)	Prec@5 10.156 (15.351)
Epoch: [5][5450/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 4.9131 (5.0379)	Prec@1 5.469 (4.410)	Prec@5 14.844 (15.352)
Epoch: [5][5460/7045]	Time 0.168 (0.255)	Data 0.117 (0.191)	Loss 5.1154 (5.0379)	Prec@1 4.297 (4.411)	Prec@5 14.844 (15.353)
Epoch: [5][5470/7045]	Time 0.371 (0.255)	Data 0.320 (0.191)	Loss 4.9674 (5.0378)	Prec@1 6.250 (4.412)	Prec@5 15.234 (15.355)
Epoch: [5][5480/7045]	Time 0.102 (0.255)	Data 0.007 (0.191)	Loss 5.0237 (5.0378)	Prec@1 6.250 (4.412)	Prec@5 16.797 (15.354)
Epoch: [5][5490/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 4.8963 (5.0378)	Prec@1 3.906 (4.412)	Prec@5 16.797 (15.352)
Epoch: [5][5500/7045]	Time 0.203 (0.255)	Data 0.152 (0.191)	Loss 5.0026 (5.0378)	Prec@1 5.469 (4.412)	Prec@5 20.703 (15.354)
Epoch: [5][5510/7045]	Time 0.103 (0.255)	Data 0.001 (0.191)	Loss 5.0364 (5.0377)	Prec@1 5.078 (4.412)	Prec@5 16.797 (15.354)
Epoch: [5][5520/7045]	Time 0.257 (0.255)	Data 0.204 (0.191)	Loss 5.0284 (5.0377)	Prec@1 3.125 (4.413)	Prec@5 12.891 (15.354)
Epoch: [5][5530/7045]	Time 0.106 (0.255)	Data 0.001 (0.191)	Loss 5.0692 (5.0377)	Prec@1 4.297 (4.413)	Prec@5 16.797 (15.354)
Epoch: [5][5540/7045]	Time 0.508 (0.255)	Data 0.457 (0.191)	Loss 5.0072 (5.0378)	Prec@1 1.953 (4.412)	Prec@5 15.234 (15.353)
Epoch: [5][5550/7045]	Time 0.100 (0.255)	Data 0.006 (0.191)	Loss 5.0679 (5.0377)	Prec@1 5.469 (4.412)	Prec@5 13.672 (15.353)
Epoch: [5][5560/7045]	Time 0.118 (0.255)	Data 0.066 (0.191)	Loss 4.9981 (5.0376)	Prec@1 2.734 (4.411)	Prec@5 16.016 (15.354)
Epoch: [5][5570/7045]	Time 0.318 (0.255)	Data 0.267 (0.191)	Loss 4.7947 (5.0375)	Prec@1 6.641 (4.411)	Prec@5 20.312 (15.355)
Epoch: [5][5580/7045]	Time 0.101 (0.255)	Data 0.006 (0.191)	Loss 4.9785 (5.0374)	Prec@1 4.297 (4.413)	Prec@5 16.406 (15.357)
Epoch: [5][5590/7045]	Time 0.180 (0.255)	Data 0.123 (0.191)	Loss 5.0490 (5.0374)	Prec@1 5.078 (4.414)	Prec@5 15.625 (15.357)
Epoch: [5][5600/7045]	Time 0.267 (0.255)	Data 0.215 (0.191)	Loss 4.9769 (5.0373)	Prec@1 5.078 (4.413)	Prec@5 16.016 (15.359)
Epoch: [5][5610/7045]	Time 0.249 (0.255)	Data 0.197 (0.191)	Loss 5.0375 (5.0373)	Prec@1 5.469 (4.413)	Prec@5 19.141 (15.359)
Epoch: [5][5620/7045]	Time 0.302 (0.255)	Data 0.251 (0.191)	Loss 5.1340 (5.0372)	Prec@1 4.688 (4.415)	Prec@5 15.234 (15.362)
Epoch: [5][5630/7045]	Time 0.238 (0.255)	Data 0.188 (0.191)	Loss 5.1647 (5.0372)	Prec@1 4.297 (4.416)	Prec@5 12.891 (15.363)
Epoch: [5][5640/7045]	Time 0.353 (0.255)	Data 0.293 (0.191)	Loss 5.1556 (5.0372)	Prec@1 3.125 (4.415)	Prec@5 10.156 (15.359)
Epoch: [5][5650/7045]	Time 0.318 (0.255)	Data 0.267 (0.191)	Loss 5.1408 (5.0374)	Prec@1 3.906 (4.415)	Prec@5 12.109 (15.357)
Epoch: [5][5660/7045]	Time 0.954 (0.255)	Data 0.902 (0.191)	Loss 5.1834 (5.0375)	Prec@1 7.031 (4.414)	Prec@5 15.234 (15.356)
Epoch: [5][5670/7045]	Time 0.267 (0.255)	Data 0.216 (0.191)	Loss 5.0449 (5.0374)	Prec@1 5.078 (4.415)	Prec@5 18.359 (15.358)
Epoch: [5][5680/7045]	Time 0.102 (0.255)	Data 0.050 (0.191)	Loss 4.9891 (5.0374)	Prec@1 3.906 (4.415)	Prec@5 16.016 (15.360)
Epoch: [5][5690/7045]	Time 0.469 (0.255)	Data 0.419 (0.191)	Loss 5.1514 (5.0374)	Prec@1 2.734 (4.415)	Prec@5 11.719 (15.360)
Epoch: [5][5700/7045]	Time 0.350 (0.255)	Data 0.298 (0.191)	Loss 5.1166 (5.0375)	Prec@1 3.906 (4.416)	Prec@5 15.625 (15.359)
Epoch: [5][5710/7045]	Time 0.155 (0.255)	Data 0.104 (0.191)	Loss 5.0143 (5.0375)	Prec@1 3.125 (4.416)	Prec@5 14.062 (15.357)
Epoch: [5][5720/7045]	Time 0.108 (0.255)	Data 0.010 (0.191)	Loss 4.9465 (5.0375)	Prec@1 3.125 (4.416)	Prec@5 15.625 (15.358)
Epoch: [5][5730/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 5.0545 (5.0375)	Prec@1 3.516 (4.415)	Prec@5 12.891 (15.355)
Epoch: [5][5740/7045]	Time 0.209 (0.255)	Data 0.147 (0.191)	Loss 5.0221 (5.0376)	Prec@1 4.688 (4.414)	Prec@5 17.578 (15.354)
Epoch: [5][5750/7045]	Time 0.177 (0.255)	Data 0.125 (0.191)	Loss 4.9229 (5.0376)	Prec@1 7.422 (4.414)	Prec@5 19.531 (15.353)
Epoch: [5][5760/7045]	Time 0.150 (0.255)	Data 0.098 (0.191)	Loss 5.0726 (5.0376)	Prec@1 4.297 (4.414)	Prec@5 15.234 (15.354)
Epoch: [5][5770/7045]	Time 0.105 (0.255)	Data 0.054 (0.191)	Loss 5.0350 (5.0377)	Prec@1 3.125 (4.414)	Prec@5 16.406 (15.353)
Epoch: [5][5780/7045]	Time 0.235 (0.255)	Data 0.184 (0.191)	Loss 5.0623 (5.0377)	Prec@1 3.906 (4.414)	Prec@5 15.625 (15.354)
Epoch: [5][5790/7045]	Time 0.264 (0.255)	Data 0.213 (0.191)	Loss 5.0612 (5.0377)	Prec@1 4.688 (4.413)	Prec@5 12.109 (15.353)
Epoch: [5][5800/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 5.0792 (5.0377)	Prec@1 4.297 (4.414)	Prec@5 16.016 (15.354)
Epoch: [5][5810/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 4.9927 (5.0376)	Prec@1 5.859 (4.415)	Prec@5 16.016 (15.355)
Epoch: [5][5820/7045]	Time 0.178 (0.255)	Data 0.127 (0.191)	Loss 4.9899 (5.0376)	Prec@1 5.078 (4.415)	Prec@5 14.844 (15.355)
Epoch: [5][5830/7045]	Time 0.272 (0.255)	Data 0.212 (0.191)	Loss 5.1378 (5.0375)	Prec@1 1.953 (4.416)	Prec@5 6.641 (15.354)
Epoch: [5][5840/7045]	Time 0.420 (0.255)	Data 0.369 (0.191)	Loss 5.1175 (5.0375)	Prec@1 4.688 (4.416)	Prec@5 13.672 (15.356)
Epoch: [5][5850/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 5.0022 (5.0374)	Prec@1 3.516 (4.416)	Prec@5 12.891 (15.358)
Epoch: [5][5860/7045]	Time 0.457 (0.255)	Data 0.407 (0.191)	Loss 5.0171 (5.0375)	Prec@1 4.688 (4.416)	Prec@5 16.406 (15.357)
Epoch: [5][5870/7045]	Time 0.109 (0.255)	Data 0.057 (0.191)	Loss 5.0808 (5.0377)	Prec@1 3.516 (4.414)	Prec@5 13.281 (15.352)
Epoch: [5][5880/7045]	Time 0.479 (0.255)	Data 0.427 (0.191)	Loss 5.0815 (5.0377)	Prec@1 3.516 (4.414)	Prec@5 13.281 (15.351)
Epoch: [5][5890/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 5.1270 (5.0378)	Prec@1 5.078 (4.412)	Prec@5 12.891 (15.349)
Epoch: [5][5900/7045]	Time 0.314 (0.255)	Data 0.262 (0.191)	Loss 5.0493 (5.0379)	Prec@1 3.516 (4.412)	Prec@5 13.672 (15.347)
Epoch: [5][5910/7045]	Time 0.109 (0.255)	Data 0.001 (0.191)	Loss 5.1976 (5.0381)	Prec@1 4.297 (4.410)	Prec@5 13.672 (15.344)
Epoch: [5][5920/7045]	Time 0.101 (0.255)	Data 0.001 (0.191)	Loss 5.1163 (5.0382)	Prec@1 2.344 (4.410)	Prec@5 12.500 (15.343)
Epoch: [5][5930/7045]	Time 0.115 (0.255)	Data 0.063 (0.191)	Loss 5.0867 (5.0382)	Prec@1 3.516 (4.409)	Prec@5 14.453 (15.341)
Epoch: [5][5940/7045]	Time 0.224 (0.255)	Data 0.174 (0.191)	Loss 4.9767 (5.0382)	Prec@1 3.906 (4.410)	Prec@5 16.016 (15.343)
Epoch: [5][5950/7045]	Time 0.102 (0.255)	Data 0.002 (0.191)	Loss 5.0350 (5.0381)	Prec@1 3.906 (4.410)	Prec@5 13.672 (15.344)
Epoch: [5][5960/7045]	Time 0.101 (0.255)	Data 0.017 (0.191)	Loss 4.9980 (5.0380)	Prec@1 4.297 (4.410)	Prec@5 14.453 (15.344)
Epoch: [5][5970/7045]	Time 0.101 (0.255)	Data 0.002 (0.191)	Loss 5.0286 (5.0380)	Prec@1 4.297 (4.410)	Prec@5 17.188 (15.345)
Epoch: [5][5980/7045]	Time 0.107 (0.255)	Data 0.045 (0.191)	Loss 5.0955 (5.0379)	Prec@1 3.906 (4.410)	Prec@5 16.797 (15.346)
Epoch: [5][5990/7045]	Time 0.097 (0.255)	Data 0.045 (0.191)	Loss 4.9670 (5.0378)	Prec@1 6.641 (4.411)	Prec@5 16.406 (15.347)
Epoch: [5][6000/7045]	Time 0.213 (0.255)	Data 0.162 (0.191)	Loss 5.0361 (5.0377)	Prec@1 5.078 (4.412)	Prec@5 16.016 (15.349)
Epoch: [5][6010/7045]	Time 0.113 (0.255)	Data 0.061 (0.191)	Loss 4.9650 (5.0377)	Prec@1 4.297 (4.413)	Prec@5 16.406 (15.350)
Epoch: [5][6020/7045]	Time 0.646 (0.255)	Data 0.587 (0.191)	Loss 4.9622 (5.0376)	Prec@1 5.859 (4.413)	Prec@5 17.578 (15.351)
Epoch: [5][6030/7045]	Time 0.108 (0.255)	Data 0.001 (0.191)	Loss 4.9603 (5.0376)	Prec@1 6.250 (4.413)	Prec@5 13.672 (15.350)
Epoch: [5][6040/7045]	Time 0.437 (0.255)	Data 0.386 (0.191)	Loss 5.1284 (5.0375)	Prec@1 3.516 (4.415)	Prec@5 12.109 (15.352)
Epoch: [5][6050/7045]	Time 0.163 (0.255)	Data 0.112 (0.191)	Loss 4.8161 (5.0374)	Prec@1 8.203 (4.416)	Prec@5 25.000 (15.354)
Epoch: [5][6060/7045]	Time 0.110 (0.255)	Data 0.047 (0.191)	Loss 5.1176 (5.0374)	Prec@1 3.906 (4.416)	Prec@5 13.672 (15.356)
Epoch: [5][6070/7045]	Time 0.109 (0.255)	Data 0.058 (0.191)	Loss 5.1933 (5.0375)	Prec@1 1.562 (4.416)	Prec@5 10.938 (15.353)
Epoch: [5][6080/7045]	Time 0.103 (0.255)	Data 0.001 (0.191)	Loss 4.9707 (5.0374)	Prec@1 4.297 (4.416)	Prec@5 14.062 (15.355)
Epoch: [5][6090/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 4.9733 (5.0374)	Prec@1 2.344 (4.416)	Prec@5 16.406 (15.356)
Epoch: [5][6100/7045]	Time 0.463 (0.255)	Data 0.411 (0.191)	Loss 5.2300 (5.0375)	Prec@1 1.953 (4.415)	Prec@5 11.328 (15.353)
Epoch: [5][6110/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 5.0600 (5.0377)	Prec@1 4.688 (4.413)	Prec@5 14.453 (15.351)
Epoch: [5][6120/7045]	Time 0.557 (0.255)	Data 0.506 (0.191)	Loss 4.8493 (5.0378)	Prec@1 9.766 (4.414)	Prec@5 24.609 (15.351)
Epoch: [5][6130/7045]	Time 0.247 (0.255)	Data 0.195 (0.191)	Loss 5.1090 (5.0378)	Prec@1 2.734 (4.414)	Prec@5 15.234 (15.351)
Epoch: [5][6140/7045]	Time 0.270 (0.255)	Data 0.212 (0.191)	Loss 4.9967 (5.0377)	Prec@1 3.906 (4.414)	Prec@5 14.062 (15.350)
Epoch: [5][6150/7045]	Time 0.593 (0.255)	Data 0.542 (0.191)	Loss 5.0237 (5.0377)	Prec@1 3.516 (4.414)	Prec@5 14.453 (15.351)
Epoch: [5][6160/7045]	Time 0.103 (0.255)	Data 0.019 (0.191)	Loss 5.0277 (5.0377)	Prec@1 5.859 (4.413)	Prec@5 19.922 (15.351)
Epoch: [5][6170/7045]	Time 0.584 (0.255)	Data 0.533 (0.191)	Loss 5.1501 (5.0377)	Prec@1 4.297 (4.413)	Prec@5 11.328 (15.350)
Epoch: [5][6180/7045]	Time 0.093 (0.255)	Data 0.001 (0.191)	Loss 5.0204 (5.0377)	Prec@1 4.297 (4.413)	Prec@5 17.969 (15.349)
Epoch: [5][6190/7045]	Time 0.529 (0.255)	Data 0.479 (0.191)	Loss 4.9566 (5.0376)	Prec@1 5.469 (4.414)	Prec@5 18.359 (15.351)
Epoch: [5][6200/7045]	Time 0.102 (0.255)	Data 0.007 (0.191)	Loss 5.0746 (5.0377)	Prec@1 5.078 (4.414)	Prec@5 14.844 (15.348)
Epoch: [5][6210/7045]	Time 0.510 (0.255)	Data 0.458 (0.191)	Loss 5.0546 (5.0377)	Prec@1 6.250 (4.414)	Prec@5 17.188 (15.348)
Epoch: [5][6220/7045]	Time 0.102 (0.255)	Data 0.048 (0.191)	Loss 5.1319 (5.0377)	Prec@1 4.297 (4.415)	Prec@5 13.281 (15.352)
Epoch: [5][6230/7045]	Time 0.104 (0.255)	Data 0.002 (0.191)	Loss 4.8727 (5.0376)	Prec@1 3.125 (4.416)	Prec@5 17.578 (15.356)
Epoch: [5][6240/7045]	Time 0.517 (0.255)	Data 0.466 (0.191)	Loss 4.8921 (5.0375)	Prec@1 5.859 (4.417)	Prec@5 16.016 (15.359)
Epoch: [5][6250/7045]	Time 0.220 (0.255)	Data 0.162 (0.191)	Loss 4.8230 (5.0373)	Prec@1 8.203 (4.418)	Prec@5 17.188 (15.361)
Epoch: [5][6260/7045]	Time 0.429 (0.255)	Data 0.378 (0.191)	Loss 5.1060 (5.0373)	Prec@1 4.297 (4.419)	Prec@5 13.672 (15.361)
Epoch: [5][6270/7045]	Time 0.505 (0.255)	Data 0.453 (0.191)	Loss 5.0412 (5.0373)	Prec@1 6.250 (4.420)	Prec@5 16.406 (15.361)
Epoch: [5][6280/7045]	Time 0.100 (0.255)	Data 0.001 (0.191)	Loss 5.1041 (5.0373)	Prec@1 2.734 (4.419)	Prec@5 10.547 (15.359)
Epoch: [5][6290/7045]	Time 0.497 (0.255)	Data 0.439 (0.191)	Loss 5.1073 (5.0373)	Prec@1 3.125 (4.419)	Prec@5 16.797 (15.358)
Epoch: [5][6300/7045]	Time 0.240 (0.255)	Data 0.189 (0.191)	Loss 5.1463 (5.0373)	Prec@1 5.078 (4.420)	Prec@5 14.062 (15.359)
Epoch: [5][6310/7045]	Time 0.318 (0.255)	Data 0.265 (0.191)	Loss 5.0806 (5.0374)	Prec@1 6.250 (4.420)	Prec@5 16.016 (15.360)
Epoch: [5][6320/7045]	Time 0.176 (0.255)	Data 0.126 (0.191)	Loss 4.9446 (5.0374)	Prec@1 5.469 (4.420)	Prec@5 14.062 (15.359)
Epoch: [5][6330/7045]	Time 0.164 (0.255)	Data 0.114 (0.191)	Loss 5.0730 (5.0374)	Prec@1 2.344 (4.419)	Prec@5 14.062 (15.358)
Epoch: [5][6340/7045]	Time 0.492 (0.255)	Data 0.441 (0.191)	Loss 5.0002 (5.0375)	Prec@1 2.734 (4.417)	Prec@5 14.844 (15.357)
Epoch: [5][6350/7045]	Time 0.102 (0.255)	Data 0.017 (0.191)	Loss 4.9916 (5.0376)	Prec@1 4.688 (4.418)	Prec@5 16.797 (15.358)
Epoch: [5][6360/7045]	Time 0.301 (0.255)	Data 0.251 (0.191)	Loss 5.1939 (5.0375)	Prec@1 1.562 (4.419)	Prec@5 15.234 (15.360)
Epoch: [5][6370/7045]	Time 0.143 (0.255)	Data 0.091 (0.191)	Loss 5.1900 (5.0376)	Prec@1 3.516 (4.420)	Prec@5 12.891 (15.360)
Epoch: [5][6380/7045]	Time 0.136 (0.255)	Data 0.085 (0.191)	Loss 5.1641 (5.0378)	Prec@1 3.906 (4.418)	Prec@5 12.109 (15.354)
Epoch: [5][6390/7045]	Time 0.347 (0.255)	Data 0.296 (0.191)	Loss 4.9846 (5.0379)	Prec@1 5.469 (4.417)	Prec@5 19.141 (15.353)
Epoch: [5][6400/7045]	Time 0.103 (0.255)	Data 0.001 (0.191)	Loss 4.9757 (5.0378)	Prec@1 5.859 (4.419)	Prec@5 17.578 (15.355)
Epoch: [5][6410/7045]	Time 0.297 (0.255)	Data 0.245 (0.191)	Loss 4.9833 (5.0377)	Prec@1 4.688 (4.421)	Prec@5 15.625 (15.357)
Epoch: [5][6420/7045]	Time 0.320 (0.255)	Data 0.269 (0.191)	Loss 5.0288 (5.0377)	Prec@1 3.906 (4.420)	Prec@5 16.797 (15.356)
Epoch: [5][6430/7045]	Time 0.136 (0.255)	Data 0.075 (0.191)	Loss 5.0501 (5.0376)	Prec@1 6.250 (4.421)	Prec@5 18.359 (15.358)
Epoch: [5][6440/7045]	Time 0.366 (0.255)	Data 0.314 (0.191)	Loss 4.9891 (5.0375)	Prec@1 3.906 (4.421)	Prec@5 14.453 (15.358)
Epoch: [5][6450/7045]	Time 0.134 (0.255)	Data 0.084 (0.191)	Loss 5.0555 (5.0375)	Prec@1 3.906 (4.421)	Prec@5 12.891 (15.357)
Epoch: [5][6460/7045]	Time 0.351 (0.255)	Data 0.300 (0.191)	Loss 5.0804 (5.0374)	Prec@1 5.469 (4.422)	Prec@5 14.453 (15.359)
Epoch: [5][6470/7045]	Time 0.399 (0.255)	Data 0.347 (0.191)	Loss 4.9604 (5.0374)	Prec@1 4.688 (4.422)	Prec@5 14.062 (15.359)
Epoch: [5][6480/7045]	Time 0.157 (0.255)	Data 0.105 (0.191)	Loss 4.9650 (5.0374)	Prec@1 4.688 (4.422)	Prec@5 17.969 (15.360)
Epoch: [5][6490/7045]	Time 0.385 (0.255)	Data 0.334 (0.191)	Loss 5.1016 (5.0373)	Prec@1 4.297 (4.423)	Prec@5 16.016 (15.361)
Epoch: [5][6500/7045]	Time 0.140 (0.255)	Data 0.089 (0.191)	Loss 4.9483 (5.0373)	Prec@1 5.078 (4.423)	Prec@5 14.844 (15.361)
Epoch: [5][6510/7045]	Time 0.102 (0.255)	Data 0.048 (0.191)	Loss 4.9681 (5.0373)	Prec@1 6.250 (4.423)	Prec@5 17.969 (15.361)
Epoch: [5][6520/7045]	Time 0.299 (0.255)	Data 0.248 (0.191)	Loss 4.9189 (5.0374)	Prec@1 4.688 (4.423)	Prec@5 17.188 (15.359)
Epoch: [5][6530/7045]	Time 0.189 (0.255)	Data 0.139 (0.191)	Loss 4.9988 (5.0374)	Prec@1 5.859 (4.424)	Prec@5 16.797 (15.361)
Epoch: [5][6540/7045]	Time 0.106 (0.255)	Data 0.055 (0.191)	Loss 5.0253 (5.0374)	Prec@1 7.422 (4.423)	Prec@5 17.188 (15.360)
Epoch: [5][6550/7045]	Time 0.526 (0.255)	Data 0.475 (0.191)	Loss 5.0333 (5.0373)	Prec@1 5.078 (4.424)	Prec@5 14.062 (15.362)
Epoch: [5][6560/7045]	Time 0.100 (0.255)	Data 0.001 (0.191)	Loss 4.8312 (5.0373)	Prec@1 5.859 (4.424)	Prec@5 23.047 (15.361)
Epoch: [5][6570/7045]	Time 0.643 (0.255)	Data 0.587 (0.191)	Loss 5.0167 (5.0372)	Prec@1 5.859 (4.425)	Prec@5 16.016 (15.361)
Epoch: [5][6580/7045]	Time 0.119 (0.255)	Data 0.069 (0.191)	Loss 5.0096 (5.0372)	Prec@1 4.688 (4.426)	Prec@5 20.312 (15.363)
Epoch: [5][6590/7045]	Time 0.110 (0.255)	Data 0.050 (0.191)	Loss 4.9121 (5.0371)	Prec@1 6.641 (4.426)	Prec@5 16.406 (15.365)
Epoch: [5][6600/7045]	Time 0.279 (0.255)	Data 0.229 (0.191)	Loss 5.2356 (5.0370)	Prec@1 1.562 (4.427)	Prec@5 11.328 (15.369)
Epoch: [5][6610/7045]	Time 0.110 (0.255)	Data 0.010 (0.191)	Loss 5.0330 (5.0370)	Prec@1 3.516 (4.427)	Prec@5 14.453 (15.368)
Epoch: [5][6620/7045]	Time 0.259 (0.255)	Data 0.207 (0.191)	Loss 4.9641 (5.0370)	Prec@1 5.469 (4.429)	Prec@5 16.797 (15.370)
Epoch: [5][6630/7045]	Time 0.247 (0.255)	Data 0.188 (0.191)	Loss 4.8577 (5.0369)	Prec@1 3.125 (4.428)	Prec@5 18.750 (15.372)
Epoch: [5][6640/7045]	Time 0.400 (0.255)	Data 0.350 (0.191)	Loss 4.9518 (5.0369)	Prec@1 5.469 (4.428)	Prec@5 16.406 (15.372)
Epoch: [5][6650/7045]	Time 0.303 (0.255)	Data 0.252 (0.191)	Loss 4.9206 (5.0369)	Prec@1 3.906 (4.429)	Prec@5 19.922 (15.373)
Epoch: [5][6660/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 5.1134 (5.0369)	Prec@1 2.734 (4.428)	Prec@5 10.938 (15.374)
Epoch: [5][6670/7045]	Time 0.518 (0.255)	Data 0.460 (0.191)	Loss 5.1358 (5.0369)	Prec@1 3.906 (4.428)	Prec@5 14.453 (15.372)
Epoch: [5][6680/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 5.0394 (5.0369)	Prec@1 2.344 (4.428)	Prec@5 13.281 (15.372)
Epoch: [5][6690/7045]	Time 0.185 (0.255)	Data 0.135 (0.191)	Loss 5.0032 (5.0369)	Prec@1 3.906 (4.428)	Prec@5 13.672 (15.373)
Epoch: [5][6700/7045]	Time 0.231 (0.255)	Data 0.178 (0.191)	Loss 4.9884 (5.0369)	Prec@1 6.641 (4.429)	Prec@5 16.797 (15.374)
Epoch: [5][6710/7045]	Time 0.103 (0.255)	Data 0.001 (0.191)	Loss 5.1226 (5.0368)	Prec@1 5.078 (4.430)	Prec@5 14.453 (15.375)
Epoch: [5][6720/7045]	Time 0.302 (0.255)	Data 0.252 (0.191)	Loss 4.9803 (5.0368)	Prec@1 5.859 (4.430)	Prec@5 17.578 (15.375)
Epoch: [5][6730/7045]	Time 0.167 (0.255)	Data 0.116 (0.191)	Loss 4.8873 (5.0367)	Prec@1 4.688 (4.430)	Prec@5 17.969 (15.376)
Epoch: [5][6740/7045]	Time 0.178 (0.255)	Data 0.126 (0.191)	Loss 4.9457 (5.0367)	Prec@1 3.516 (4.430)	Prec@5 13.672 (15.376)
Epoch: [5][6750/7045]	Time 0.466 (0.255)	Data 0.416 (0.191)	Loss 4.9878 (5.0366)	Prec@1 2.344 (4.430)	Prec@5 14.844 (15.377)
Epoch: [5][6760/7045]	Time 0.103 (0.255)	Data 0.001 (0.191)	Loss 4.9726 (5.0365)	Prec@1 5.078 (4.431)	Prec@5 16.797 (15.379)
Epoch: [5][6770/7045]	Time 0.470 (0.255)	Data 0.409 (0.191)	Loss 4.9501 (5.0365)	Prec@1 5.078 (4.432)	Prec@5 19.531 (15.379)
Epoch: [5][6780/7045]	Time 0.106 (0.255)	Data 0.053 (0.191)	Loss 4.8973 (5.0365)	Prec@1 7.812 (4.432)	Prec@5 19.141 (15.380)
Epoch: [5][6790/7045]	Time 0.154 (0.255)	Data 0.103 (0.191)	Loss 4.9716 (5.0365)	Prec@1 6.250 (4.433)	Prec@5 16.797 (15.381)
Epoch: [5][6800/7045]	Time 0.396 (0.255)	Data 0.345 (0.191)	Loss 5.0639 (5.0365)	Prec@1 6.250 (4.434)	Prec@5 15.625 (15.382)
Epoch: [5][6810/7045]	Time 0.289 (0.255)	Data 0.239 (0.191)	Loss 5.0660 (5.0365)	Prec@1 5.469 (4.434)	Prec@5 17.578 (15.382)
Epoch: [5][6820/7045]	Time 0.184 (0.255)	Data 0.132 (0.191)	Loss 5.0823 (5.0367)	Prec@1 5.469 (4.434)	Prec@5 17.188 (15.379)
Epoch: [5][6830/7045]	Time 0.504 (0.255)	Data 0.453 (0.191)	Loss 4.9154 (5.0367)	Prec@1 6.250 (4.434)	Prec@5 17.188 (15.380)
Epoch: [5][6840/7045]	Time 0.232 (0.255)	Data 0.180 (0.191)	Loss 4.9236 (5.0366)	Prec@1 3.516 (4.435)	Prec@5 14.453 (15.380)
Epoch: [5][6850/7045]	Time 0.629 (0.255)	Data 0.579 (0.191)	Loss 5.0222 (5.0367)	Prec@1 3.906 (4.434)	Prec@5 15.234 (15.379)
Epoch: [5][6860/7045]	Time 0.359 (0.255)	Data 0.301 (0.191)	Loss 4.9587 (5.0366)	Prec@1 3.516 (4.435)	Prec@5 16.016 (15.380)
Epoch: [5][6870/7045]	Time 0.322 (0.255)	Data 0.271 (0.191)	Loss 4.9400 (5.0365)	Prec@1 3.906 (4.435)	Prec@5 18.750 (15.382)
Epoch: [5][6880/7045]	Time 0.674 (0.255)	Data 0.622 (0.191)	Loss 4.9790 (5.0364)	Prec@1 3.516 (4.434)	Prec@5 16.406 (15.381)
Epoch: [5][6890/7045]	Time 0.404 (0.255)	Data 0.352 (0.191)	Loss 5.0911 (5.0365)	Prec@1 3.516 (4.434)	Prec@5 13.281 (15.380)
Epoch: [5][6900/7045]	Time 0.432 (0.255)	Data 0.377 (0.191)	Loss 5.0559 (5.0365)	Prec@1 3.125 (4.435)	Prec@5 13.281 (15.381)
Epoch: [5][6910/7045]	Time 0.486 (0.255)	Data 0.435 (0.191)	Loss 4.9876 (5.0364)	Prec@1 7.422 (4.435)	Prec@5 16.016 (15.383)
Epoch: [5][6920/7045]	Time 0.242 (0.255)	Data 0.190 (0.191)	Loss 5.0575 (5.0364)	Prec@1 5.078 (4.436)	Prec@5 17.969 (15.385)
Epoch: [5][6930/7045]	Time 0.242 (0.255)	Data 0.190 (0.191)	Loss 5.0798 (5.0363)	Prec@1 3.516 (4.436)	Prec@5 13.281 (15.384)
Epoch: [5][6940/7045]	Time 0.721 (0.255)	Data 0.663 (0.191)	Loss 5.1589 (5.0363)	Prec@1 3.516 (4.436)	Prec@5 15.234 (15.385)
Epoch: [5][6950/7045]	Time 0.109 (0.255)	Data 0.014 (0.191)	Loss 5.0976 (5.0364)	Prec@1 3.516 (4.435)	Prec@5 13.281 (15.382)
Epoch: [5][6960/7045]	Time 0.609 (0.255)	Data 0.551 (0.191)	Loss 5.0207 (5.0364)	Prec@1 3.906 (4.435)	Prec@5 12.500 (15.380)
Epoch: [5][6970/7045]	Time 0.108 (0.255)	Data 0.001 (0.191)	Loss 5.0364 (5.0364)	Prec@1 4.297 (4.435)	Prec@5 16.406 (15.380)
Epoch: [5][6980/7045]	Time 0.508 (0.255)	Data 0.457 (0.191)	Loss 5.0690 (5.0364)	Prec@1 4.297 (4.435)	Prec@5 14.844 (15.379)
Epoch: [5][6990/7045]	Time 0.487 (0.255)	Data 0.436 (0.191)	Loss 4.8809 (5.0364)	Prec@1 6.250 (4.435)	Prec@5 19.531 (15.380)
Epoch: [5][7000/7045]	Time 0.104 (0.255)	Data 0.001 (0.191)	Loss 5.1299 (5.0364)	Prec@1 4.688 (4.435)	Prec@5 15.234 (15.381)
Epoch: [5][7010/7045]	Time 0.667 (0.255)	Data 0.618 (0.191)	Loss 4.9617 (5.0364)	Prec@1 4.688 (4.435)	Prec@5 17.578 (15.382)
Epoch: [5][7020/7045]	Time 0.103 (0.255)	Data 0.050 (0.191)	Loss 4.8438 (5.0363)	Prec@1 7.422 (4.436)	Prec@5 19.531 (15.384)
Epoch: [5][7030/7045]	Time 0.229 (0.255)	Data 0.177 (0.191)	Loss 5.1145 (5.0362)	Prec@1 4.297 (4.436)	Prec@5 17.578 (15.385)
Epoch: [5][7040/7045]	Time 0.239 (0.255)	Data 0.188 (0.191)	Loss 5.1034 (5.0362)	Prec@1 1.953 (4.436)	Prec@5 12.891 (15.385)
Test: [0/143]	Time 1.139 (1.139)	Loss 4.7475 (4.7475)	Prec@1 8.984 (8.984)	Prec@5 22.266 (22.266)
Test: [10/143]	Time 0.114 (0.251)	Loss 4.7294 (4.8074)	Prec@1 5.469 (5.398)	Prec@5 23.438 (20.526)
Test: [20/143]	Time 0.130 (0.221)	Loss 5.1097 (4.7822)	Prec@1 0.391 (6.324)	Prec@5 5.469 (21.243)
Test: [30/143]	Time 0.067 (0.205)	Loss 4.8909 (4.8094)	Prec@1 1.172 (5.759)	Prec@5 18.359 (20.123)
Test: [40/143]	Time 0.287 (0.204)	Loss 5.0541 (4.8013)	Prec@1 1.562 (5.764)	Prec@5 8.203 (19.979)
Test: [50/143]	Time 0.418 (0.201)	Loss 4.2992 (4.8034)	Prec@1 10.156 (5.538)	Prec@5 32.812 (19.585)
Test: [60/143]	Time 0.048 (0.197)	Loss 5.2663 (4.7791)	Prec@1 1.172 (5.994)	Prec@5 4.297 (20.466)
Test: [70/143]	Time 0.264 (0.193)	Loss 5.0260 (4.7698)	Prec@1 3.516 (6.311)	Prec@5 11.328 (20.533)
Test: [80/143]	Time 0.071 (0.191)	Loss 4.5345 (4.7688)	Prec@1 10.547 (6.395)	Prec@5 34.375 (20.703)
Test: [90/143]	Time 0.373 (0.191)	Loss 4.7108 (4.7625)	Prec@1 5.859 (6.576)	Prec@5 21.484 (21.025)
Test: [100/143]	Time 0.129 (0.188)	Loss 4.5211 (4.7544)	Prec@1 3.906 (6.610)	Prec@5 28.906 (21.395)
Test: [110/143]	Time 0.168 (0.189)	Loss 4.5731 (4.7540)	Prec@1 9.375 (6.521)	Prec@5 26.562 (21.312)
Test: [120/143]	Time 0.119 (0.187)	Loss 4.8054 (4.7472)	Prec@1 6.641 (6.838)	Prec@5 19.922 (21.452)
Test: [130/143]	Time 0.058 (0.186)	Loss 4.1800 (4.7374)	Prec@1 18.359 (7.031)	Prec@5 34.375 (21.702)
Test: [140/143]	Time 0.374 (0.188)	Loss 5.2089 (4.7509)	Prec@1 0.000 (6.818)	Prec@5 1.953 (21.221)
 * Prec@1 6.808 Prec@5 21.233
Epoch: [6][0/7045]	Time 2.636 (2.636)	Data 2.578 (2.578)	Loss 5.0097 (5.0097)	Prec@1 2.734 (2.734)	Prec@5 16.406 (16.406)
Epoch: [6][10/7045]	Time 0.275 (0.435)	Data 0.225 (0.361)	Loss 5.1347 (4.9947)	Prec@1 3.125 (4.084)	Prec@5 13.672 (15.057)
Epoch: [6][20/7045]	Time 0.331 (0.352)	Data 0.280 (0.289)	Loss 5.1136 (5.0352)	Prec@1 3.516 (4.278)	Prec@5 12.500 (14.844)
Epoch: [6][30/7045]	Time 0.101 (0.312)	Data 0.005 (0.248)	Loss 5.0382 (5.0468)	Prec@1 5.469 (4.221)	Prec@5 14.453 (14.919)
Epoch: [6][40/7045]	Time 0.111 (0.305)	Data 0.012 (0.236)	Loss 5.0965 (5.0431)	Prec@1 2.734 (4.221)	Prec@5 12.500 (14.977)
Epoch: [6][50/7045]	Time 0.345 (0.292)	Data 0.293 (0.223)	Loss 4.9819 (5.0368)	Prec@1 1.953 (4.251)	Prec@5 13.281 (15.035)
Epoch: [6][60/7045]	Time 0.103 (0.286)	Data 0.001 (0.219)	Loss 5.0563 (5.0435)	Prec@1 5.078 (4.322)	Prec@5 16.797 (15.081)
Epoch: [6][70/7045]	Time 0.614 (0.284)	Data 0.557 (0.217)	Loss 4.9704 (5.0428)	Prec@1 3.125 (4.401)	Prec@5 15.625 (15.097)
Epoch: [6][80/7045]	Time 0.374 (0.280)	Data 0.323 (0.215)	Loss 5.0192 (5.0434)	Prec@1 4.297 (4.355)	Prec@5 14.062 (15.032)
Epoch: [6][90/7045]	Time 0.593 (0.278)	Data 0.542 (0.213)	Loss 4.9370 (5.0323)	Prec@1 5.469 (4.353)	Prec@5 19.141 (15.157)
Epoch: [6][100/7045]	Time 0.284 (0.274)	Data 0.227 (0.209)	Loss 5.1205 (5.0305)	Prec@1 3.125 (4.432)	Prec@5 12.500 (15.304)
Epoch: [6][110/7045]	Time 0.307 (0.273)	Data 0.256 (0.209)	Loss 5.0346 (5.0290)	Prec@1 5.469 (4.476)	Prec@5 18.359 (15.393)
Epoch: [6][120/7045]	Time 0.260 (0.270)	Data 0.209 (0.207)	Loss 4.9385 (5.0265)	Prec@1 4.297 (4.516)	Prec@5 16.406 (15.412)
Epoch: [6][130/7045]	Time 0.101 (0.269)	Data 0.001 (0.206)	Loss 5.0187 (5.0221)	Prec@1 5.078 (4.571)	Prec@5 16.016 (15.553)
Epoch: [6][140/7045]	Time 0.212 (0.266)	Data 0.161 (0.204)	Loss 4.9321 (5.0216)	Prec@1 4.688 (4.538)	Prec@5 17.578 (15.503)
Epoch: [6][150/7045]	Time 0.365 (0.267)	Data 0.314 (0.205)	Loss 5.0281 (5.0244)	Prec@1 3.125 (4.470)	Prec@5 13.281 (15.436)
Epoch: [6][160/7045]	Time 0.108 (0.265)	Data 0.003 (0.204)	Loss 5.1664 (5.0239)	Prec@1 3.906 (4.469)	Prec@5 14.062 (15.477)
Epoch: [6][170/7045]	Time 0.102 (0.265)	Data 0.001 (0.203)	Loss 4.9930 (5.0245)	Prec@1 5.469 (4.473)	Prec@5 12.109 (15.451)
Epoch: [6][180/7045]	Time 0.107 (0.265)	Data 0.001 (0.201)	Loss 5.0779 (5.0262)	Prec@1 5.469 (4.476)	Prec@5 13.672 (15.422)
Epoch: [6][190/7045]	Time 0.102 (0.263)	Data 0.014 (0.199)	Loss 5.0648 (5.0285)	Prec@1 5.078 (4.473)	Prec@5 14.062 (15.378)
Epoch: [6][200/7045]	Time 0.183 (0.264)	Data 0.122 (0.200)	Loss 5.0730 (5.0306)	Prec@1 5.078 (4.478)	Prec@5 15.625 (15.351)
Epoch: [6][210/7045]	Time 0.110 (0.263)	Data 0.058 (0.198)	Loss 5.1709 (5.0331)	Prec@1 2.344 (4.443)	Prec@5 14.844 (15.344)
Epoch: [6][220/7045]	Time 0.488 (0.264)	Data 0.429 (0.199)	Loss 5.1005 (5.0328)	Prec@1 3.125 (4.440)	Prec@5 12.500 (15.325)
Epoch: [6][230/7045]	Time 0.361 (0.263)	Data 0.308 (0.199)	Loss 5.0529 (5.0315)	Prec@1 4.297 (4.452)	Prec@5 14.453 (15.360)
Epoch: [6][240/7045]	Time 0.277 (0.262)	Data 0.226 (0.198)	Loss 5.0523 (5.0324)	Prec@1 3.516 (4.449)	Prec@5 13.281 (15.324)
Epoch: [6][250/7045]	Time 0.280 (0.262)	Data 0.228 (0.198)	Loss 5.0173 (5.0326)	Prec@1 5.469 (4.449)	Prec@5 17.188 (15.360)
Epoch: [6][260/7045]	Time 0.103 (0.261)	Data 0.001 (0.198)	Loss 5.1310 (5.0333)	Prec@1 3.516 (4.432)	Prec@5 11.719 (15.318)
Epoch: [6][270/7045]	Time 0.127 (0.260)	Data 0.076 (0.197)	Loss 4.9875 (5.0329)	Prec@1 5.078 (4.428)	Prec@5 22.266 (15.363)
Epoch: [6][280/7045]	Time 0.434 (0.261)	Data 0.383 (0.198)	Loss 5.0699 (5.0333)	Prec@1 2.734 (4.434)	Prec@5 15.234 (15.382)
Epoch: [6][290/7045]	Time 0.101 (0.260)	Data 0.008 (0.196)	Loss 5.0390 (5.0355)	Prec@1 4.297 (4.430)	Prec@5 16.797 (15.365)
Epoch: [6][300/7045]	Time 0.511 (0.260)	Data 0.460 (0.197)	Loss 5.0849 (5.0371)	Prec@1 3.125 (4.428)	Prec@5 14.453 (15.358)
Epoch: [6][310/7045]	Time 0.101 (0.259)	Data 0.014 (0.196)	Loss 5.0898 (5.0360)	Prec@1 2.344 (4.436)	Prec@5 12.500 (15.352)
Epoch: [6][320/7045]	Time 0.260 (0.259)	Data 0.209 (0.196)	Loss 5.0273 (5.0335)	Prec@1 3.906 (4.461)	Prec@5 14.453 (15.395)
Epoch: [6][330/7045]	Time 0.193 (0.259)	Data 0.142 (0.195)	Loss 4.9554 (5.0338)	Prec@1 4.297 (4.475)	Prec@5 16.406 (15.393)
Epoch: [6][340/7045]	Time 0.102 (0.259)	Data 0.001 (0.196)	Loss 5.0115 (5.0318)	Prec@1 5.078 (4.476)	Prec@5 15.234 (15.403)
Epoch: [6][350/7045]	Time 0.109 (0.258)	Data 0.058 (0.195)	Loss 4.9201 (5.0306)	Prec@1 5.078 (4.464)	Prec@5 17.578 (15.390)
Epoch: [6][360/7045]	Time 0.113 (0.259)	Data 0.017 (0.195)	Loss 5.0288 (5.0300)	Prec@1 5.078 (4.462)	Prec@5 16.406 (15.374)
Epoch: [6][370/7045]	Time 0.101 (0.258)	Data 0.001 (0.194)	Loss 5.0515 (5.0297)	Prec@1 3.125 (4.441)	Prec@5 15.625 (15.373)
Epoch: [6][380/7045]	Time 0.117 (0.258)	Data 0.059 (0.194)	Loss 5.0783 (5.0294)	Prec@1 3.516 (4.453)	Prec@5 12.891 (15.403)
Epoch: [6][390/7045]	Time 0.362 (0.258)	Data 0.311 (0.194)	Loss 5.0340 (5.0297)	Prec@1 3.906 (4.444)	Prec@5 14.453 (15.417)
Epoch: [6][400/7045]	Time 0.183 (0.258)	Data 0.131 (0.194)	Loss 5.1111 (5.0305)	Prec@1 3.516 (4.445)	Prec@5 12.891 (15.412)
Epoch: [6][410/7045]	Time 0.623 (0.258)	Data 0.572 (0.195)	Loss 5.0851 (5.0310)	Prec@1 3.125 (4.438)	Prec@5 14.844 (15.410)
Epoch: [6][420/7045]	Time 0.191 (0.258)	Data 0.140 (0.194)	Loss 5.1187 (5.0316)	Prec@1 4.688 (4.429)	Prec@5 12.500 (15.409)
Epoch: [6][430/7045]	Time 0.440 (0.258)	Data 0.389 (0.194)	Loss 5.0553 (5.0334)	Prec@1 3.125 (4.411)	Prec@5 14.062 (15.356)
Epoch: [6][440/7045]	Time 0.133 (0.257)	Data 0.082 (0.194)	Loss 4.9421 (5.0315)	Prec@1 4.688 (4.422)	Prec@5 15.625 (15.377)
Epoch: [6][450/7045]	Time 0.376 (0.258)	Data 0.325 (0.194)	Loss 5.0985 (5.0309)	Prec@1 3.906 (4.428)	Prec@5 14.453 (15.402)
Epoch: [6][460/7045]	Time 0.158 (0.257)	Data 0.106 (0.194)	Loss 5.1616 (5.0314)	Prec@1 5.078 (4.426)	Prec@5 14.453 (15.392)
Epoch: [6][470/7045]	Time 0.106 (0.257)	Data 0.055 (0.194)	Loss 5.0576 (5.0318)	Prec@1 6.250 (4.433)	Prec@5 15.625 (15.409)
Epoch: [6][480/7045]	Time 0.502 (0.257)	Data 0.451 (0.194)	Loss 4.8676 (5.0311)	Prec@1 7.422 (4.429)	Prec@5 18.750 (15.436)
Epoch: [6][490/7045]	Time 0.160 (0.257)	Data 0.107 (0.194)	Loss 5.1468 (5.0304)	Prec@1 3.516 (4.425)	Prec@5 12.891 (15.444)
Epoch: [6][500/7045]	Time 0.631 (0.257)	Data 0.580 (0.194)	Loss 5.1490 (5.0295)	Prec@1 3.125 (4.421)	Prec@5 12.891 (15.446)
Epoch: [6][510/7045]	Time 0.149 (0.256)	Data 0.096 (0.193)	Loss 5.0544 (5.0284)	Prec@1 3.906 (4.435)	Prec@5 14.062 (15.482)
Epoch: [6][520/7045]	Time 0.349 (0.256)	Data 0.297 (0.193)	Loss 4.9244 (5.0268)	Prec@1 6.250 (4.451)	Prec@5 18.750 (15.502)
Epoch: [6][530/7045]	Time 0.163 (0.256)	Data 0.111 (0.193)	Loss 5.2901 (5.0282)	Prec@1 3.125 (4.435)	Prec@5 12.500 (15.479)
Epoch: [6][540/7045]	Time 0.109 (0.256)	Data 0.056 (0.193)	Loss 5.1389 (5.0313)	Prec@1 3.125 (4.417)	Prec@5 12.500 (15.429)
Epoch: [6][550/7045]	Time 0.379 (0.256)	Data 0.328 (0.193)	Loss 5.0648 (5.0329)	Prec@1 5.078 (4.415)	Prec@5 14.453 (15.401)
Epoch: [6][560/7045]	Time 0.104 (0.256)	Data 0.053 (0.193)	Loss 5.1622 (5.0333)	Prec@1 4.688 (4.415)	Prec@5 13.672 (15.407)
Epoch: [6][570/7045]	Time 0.441 (0.256)	Data 0.390 (0.193)	Loss 4.9638 (5.0328)	Prec@1 4.297 (4.422)	Prec@5 15.625 (15.418)
Epoch: [6][580/7045]	Time 0.108 (0.256)	Data 0.018 (0.193)	Loss 4.9669 (5.0328)	Prec@1 5.078 (4.408)	Prec@5 14.844 (15.417)
Epoch: [6][590/7045]	Time 0.649 (0.256)	Data 0.592 (0.193)	Loss 4.9825 (5.0315)	Prec@1 5.469 (4.434)	Prec@5 15.625 (15.451)
Epoch: [6][600/7045]	Time 0.101 (0.255)	Data 0.001 (0.193)	Loss 5.0889 (5.0309)	Prec@1 1.562 (4.443)	Prec@5 14.844 (15.461)
Epoch: [6][610/7045]	Time 0.749 (0.256)	Data 0.697 (0.193)	Loss 4.9079 (5.0304)	Prec@1 5.859 (4.448)	Prec@5 17.188 (15.466)
Epoch: [6][620/7045]	Time 0.096 (0.255)	Data 0.001 (0.192)	Loss 5.0155 (5.0306)	Prec@1 4.297 (4.455)	Prec@5 14.453 (15.476)
Epoch: [6][630/7045]	Time 0.333 (0.255)	Data 0.283 (0.192)	Loss 5.1393 (5.0307)	Prec@1 4.688 (4.449)	Prec@5 15.625 (15.462)
Epoch: [6][640/7045]	Time 0.101 (0.255)	Data 0.001 (0.192)	Loss 4.9617 (5.0309)	Prec@1 4.688 (4.452)	Prec@5 14.844 (15.455)
Epoch: [6][650/7045]	Time 0.215 (0.255)	Data 0.162 (0.191)	Loss 5.0835 (5.0306)	Prec@1 5.078 (4.458)	Prec@5 17.578 (15.472)
Epoch: [6][660/7045]	Time 0.108 (0.255)	Data 0.001 (0.191)	Loss 5.0117 (5.0302)	Prec@1 4.688 (4.466)	Prec@5 16.406 (15.484)
Epoch: [6][670/7045]	Time 0.161 (0.255)	Data 0.110 (0.191)	Loss 4.9931 (5.0294)	Prec@1 5.078 (4.473)	Prec@5 15.625 (15.491)
Epoch: [6][680/7045]	Time 0.112 (0.255)	Data 0.060 (0.192)	Loss 5.0074 (5.0288)	Prec@1 4.688 (4.481)	Prec@5 14.062 (15.489)
Epoch: [6][690/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 5.1436 (5.0283)	Prec@1 4.297 (4.490)	Prec@5 16.797 (15.502)
Epoch: [6][700/7045]	Time 0.123 (0.255)	Data 0.072 (0.191)	Loss 4.9518 (5.0276)	Prec@1 7.422 (4.500)	Prec@5 18.750 (15.522)
Epoch: [6][710/7045]	Time 0.101 (0.254)	Data 0.001 (0.190)	Loss 5.1678 (5.0273)	Prec@1 5.469 (4.501)	Prec@5 15.625 (15.529)
Epoch: [6][720/7045]	Time 0.101 (0.254)	Data 0.023 (0.190)	Loss 5.1452 (5.0280)	Prec@1 4.688 (4.501)	Prec@5 12.109 (15.505)
Epoch: [6][730/7045]	Time 0.440 (0.255)	Data 0.381 (0.191)	Loss 5.0044 (5.0278)	Prec@1 5.469 (4.507)	Prec@5 16.016 (15.503)
Epoch: [6][740/7045]	Time 0.102 (0.254)	Data 0.001 (0.190)	Loss 5.0137 (5.0273)	Prec@1 3.906 (4.506)	Prec@5 14.844 (15.515)
Epoch: [6][750/7045]	Time 0.251 (0.254)	Data 0.199 (0.190)	Loss 4.9440 (5.0271)	Prec@1 4.688 (4.504)	Prec@5 19.141 (15.524)
Epoch: [6][760/7045]	Time 0.110 (0.254)	Data 0.057 (0.190)	Loss 4.8204 (5.0266)	Prec@1 7.812 (4.508)	Prec@5 20.312 (15.542)
Epoch: [6][770/7045]	Time 0.205 (0.254)	Data 0.153 (0.190)	Loss 5.0598 (5.0265)	Prec@1 6.250 (4.509)	Prec@5 16.406 (15.542)
Epoch: [6][780/7045]	Time 0.102 (0.254)	Data 0.001 (0.190)	Loss 5.0387 (5.0271)	Prec@1 4.297 (4.501)	Prec@5 15.625 (15.536)
Epoch: [6][790/7045]	Time 0.348 (0.254)	Data 0.297 (0.190)	Loss 4.9738 (5.0268)	Prec@1 4.297 (4.492)	Prec@5 18.750 (15.543)
Epoch: [6][800/7045]	Time 0.487 (0.254)	Data 0.436 (0.190)	Loss 5.0021 (5.0272)	Prec@1 5.469 (4.496)	Prec@5 16.797 (15.545)
Epoch: [6][810/7045]	Time 0.102 (0.254)	Data 0.001 (0.190)	Loss 5.0954 (5.0280)	Prec@1 4.688 (4.492)	Prec@5 16.797 (15.530)
Epoch: [6][820/7045]	Time 0.531 (0.254)	Data 0.480 (0.190)	Loss 4.9353 (5.0279)	Prec@1 5.859 (4.492)	Prec@5 18.750 (15.519)
Epoch: [6][830/7045]	Time 0.176 (0.254)	Data 0.125 (0.190)	Loss 4.9726 (5.0279)	Prec@1 5.469 (4.489)	Prec@5 18.359 (15.517)
Epoch: [6][840/7045]	Time 0.343 (0.254)	Data 0.292 (0.190)	Loss 4.8422 (5.0278)	Prec@1 5.859 (4.485)	Prec@5 18.359 (15.510)
Epoch: [6][850/7045]	Time 0.101 (0.254)	Data 0.006 (0.190)	Loss 5.0085 (5.0279)	Prec@1 7.031 (4.494)	Prec@5 18.359 (15.527)
Epoch: [6][860/7045]	Time 0.102 (0.254)	Data 0.001 (0.190)	Loss 4.9351 (5.0275)	Prec@1 4.688 (4.495)	Prec@5 14.062 (15.525)
Epoch: [6][870/7045]	Time 0.141 (0.254)	Data 0.088 (0.190)	Loss 5.0251 (5.0277)	Prec@1 4.297 (4.489)	Prec@5 16.016 (15.525)
Epoch: [6][880/7045]	Time 0.301 (0.254)	Data 0.243 (0.190)	Loss 5.0469 (5.0278)	Prec@1 4.297 (4.484)	Prec@5 14.453 (15.529)
Epoch: [6][890/7045]	Time 0.102 (0.253)	Data 0.001 (0.190)	Loss 4.9140 (5.0277)	Prec@1 7.812 (4.490)	Prec@5 16.016 (15.517)
Epoch: [6][900/7045]	Time 0.303 (0.254)	Data 0.251 (0.190)	Loss 5.0028 (5.0280)	Prec@1 6.250 (4.494)	Prec@5 18.359 (15.514)
Epoch: [6][910/7045]	Time 0.140 (0.253)	Data 0.088 (0.190)	Loss 4.9030 (5.0278)	Prec@1 5.859 (4.489)	Prec@5 17.969 (15.520)
Epoch: [6][920/7045]	Time 0.297 (0.253)	Data 0.245 (0.190)	Loss 5.0972 (5.0277)	Prec@1 3.125 (4.491)	Prec@5 13.672 (15.514)
Epoch: [6][930/7045]	Time 0.262 (0.253)	Data 0.211 (0.190)	Loss 5.0725 (5.0276)	Prec@1 5.078 (4.490)	Prec@5 17.188 (15.523)
Epoch: [6][940/7045]	Time 0.101 (0.253)	Data 0.049 (0.190)	Loss 4.9630 (5.0277)	Prec@1 5.859 (4.490)	Prec@5 18.750 (15.519)
Epoch: [6][950/7045]	Time 0.102 (0.253)	Data 0.001 (0.190)	Loss 4.9549 (5.0277)	Prec@1 3.516 (4.489)	Prec@5 17.578 (15.524)
Epoch: [6][960/7045]	Time 0.186 (0.254)	Data 0.135 (0.190)	Loss 5.1410 (5.0279)	Prec@1 5.859 (4.492)	Prec@5 13.281 (15.521)
Epoch: [6][970/7045]	Time 0.102 (0.253)	Data 0.001 (0.190)	Loss 5.0775 (5.0282)	Prec@1 3.516 (4.494)	Prec@5 16.406 (15.514)
Epoch: [6][980/7045]	Time 0.358 (0.254)	Data 0.307 (0.190)	Loss 5.0235 (5.0285)	Prec@1 3.125 (4.495)	Prec@5 15.625 (15.521)
Epoch: [6][990/7045]	Time 0.306 (0.254)	Data 0.256 (0.190)	Loss 5.0331 (5.0292)	Prec@1 5.078 (4.491)	Prec@5 17.578 (15.505)
Epoch: [6][1000/7045]	Time 0.179 (0.253)	Data 0.125 (0.190)	Loss 5.2824 (5.0298)	Prec@1 2.734 (4.488)	Prec@5 11.719 (15.497)
Epoch: [6][1010/7045]	Time 0.109 (0.253)	Data 0.057 (0.190)	Loss 5.0552 (5.0303)	Prec@1 5.859 (4.484)	Prec@5 14.453 (15.486)
Epoch: [6][1020/7045]	Time 0.101 (0.253)	Data 0.007 (0.190)	Loss 5.1342 (5.0308)	Prec@1 3.516 (4.481)	Prec@5 14.453 (15.482)
Epoch: [6][1030/7045]	Time 0.101 (0.253)	Data 0.004 (0.190)	Loss 4.9940 (5.0309)	Prec@1 3.906 (4.479)	Prec@5 13.281 (15.481)
Epoch: [6][1040/7045]	Time 0.392 (0.253)	Data 0.341 (0.190)	Loss 5.0983 (5.0309)	Prec@1 3.906 (4.480)	Prec@5 12.109 (15.481)
Epoch: [6][1050/7045]	Time 0.102 (0.253)	Data 0.001 (0.190)	Loss 5.0488 (5.0311)	Prec@1 5.469 (4.481)	Prec@5 18.359 (15.476)
Epoch: [6][1060/7045]	Time 0.384 (0.253)	Data 0.332 (0.190)	Loss 4.8915 (5.0308)	Prec@1 3.906 (4.481)	Prec@5 17.578 (15.487)
Epoch: [6][1070/7045]	Time 0.102 (0.253)	Data 0.050 (0.190)	Loss 4.8685 (5.0306)	Prec@1 7.031 (4.478)	Prec@5 18.750 (15.491)
Epoch: [6][1080/7045]	Time 0.493 (0.253)	Data 0.443 (0.190)	Loss 5.0308 (5.0306)	Prec@1 3.125 (4.476)	Prec@5 14.844 (15.490)
Epoch: [6][1090/7045]	Time 0.209 (0.253)	Data 0.158 (0.190)	Loss 4.9810 (5.0315)	Prec@1 4.688 (4.472)	Prec@5 16.016 (15.474)
Epoch: [6][1100/7045]	Time 0.306 (0.253)	Data 0.255 (0.190)	Loss 5.1646 (5.0320)	Prec@1 3.906 (4.463)	Prec@5 15.625 (15.466)
Epoch: [6][1110/7045]	Time 0.203 (0.253)	Data 0.151 (0.190)	Loss 5.0213 (5.0320)	Prec@1 4.297 (4.464)	Prec@5 13.281 (15.471)
Epoch: [6][1120/7045]	Time 0.109 (0.253)	Data 0.001 (0.190)	Loss 5.0932 (5.0321)	Prec@1 2.734 (4.462)	Prec@5 14.844 (15.464)
Epoch: [6][1130/7045]	Time 0.203 (0.253)	Data 0.152 (0.189)	Loss 5.0142 (5.0324)	Prec@1 4.688 (4.463)	Prec@5 18.750 (15.460)
Epoch: [6][1140/7045]	Time 0.129 (0.253)	Data 0.077 (0.190)	Loss 4.9826 (5.0327)	Prec@1 5.859 (4.464)	Prec@5 18.750 (15.459)
Epoch: [6][1150/7045]	Time 0.101 (0.253)	Data 0.001 (0.190)	Loss 4.8347 (5.0322)	Prec@1 4.297 (4.464)	Prec@5 19.531 (15.469)
Epoch: [6][1160/7045]	Time 0.183 (0.252)	Data 0.133 (0.189)	Loss 5.0438 (5.0319)	Prec@1 5.078 (4.468)	Prec@5 17.969 (15.486)
Epoch: [6][1170/7045]	Time 0.347 (0.253)	Data 0.290 (0.190)	Loss 5.1048 (5.0321)	Prec@1 3.125 (4.463)	Prec@5 13.281 (15.483)
Epoch: [6][1180/7045]	Time 0.102 (0.252)	Data 0.001 (0.189)	Loss 4.9719 (5.0320)	Prec@1 5.859 (4.461)	Prec@5 16.797 (15.480)
Epoch: [6][1190/7045]	Time 0.156 (0.252)	Data 0.103 (0.190)	Loss 5.1166 (5.0320)	Prec@1 5.078 (4.463)	Prec@5 16.797 (15.482)
Epoch: [6][1200/7045]	Time 0.619 (0.253)	Data 0.561 (0.190)	Loss 5.0058 (5.0318)	Prec@1 4.688 (4.467)	Prec@5 15.625 (15.489)
Epoch: [6][1210/7045]	Time 0.102 (0.252)	Data 0.001 (0.190)	Loss 5.0414 (5.0317)	Prec@1 3.906 (4.468)	Prec@5 17.578 (15.499)
Epoch: [6][1220/7045]	Time 0.658 (0.253)	Data 0.606 (0.190)	Loss 5.0020 (5.0312)	Prec@1 4.297 (4.469)	Prec@5 16.016 (15.504)
Epoch: [6][1230/7045]	Time 0.102 (0.252)	Data 0.001 (0.189)	Loss 4.9246 (5.0310)	Prec@1 5.469 (4.471)	Prec@5 14.453 (15.501)
Epoch: [6][1240/7045]	Time 0.522 (0.252)	Data 0.471 (0.189)	Loss 4.9847 (5.0302)	Prec@1 3.906 (4.475)	Prec@5 17.188 (15.515)
Epoch: [6][1250/7045]	Time 0.231 (0.252)	Data 0.181 (0.189)	Loss 4.9775 (5.0300)	Prec@1 4.297 (4.478)	Prec@5 12.891 (15.514)
Epoch: [6][1260/7045]	Time 0.161 (0.252)	Data 0.110 (0.189)	Loss 5.0139 (5.0300)	Prec@1 4.297 (4.477)	Prec@5 18.359 (15.516)
Epoch: [6][1270/7045]	Time 0.447 (0.252)	Data 0.395 (0.189)	Loss 4.9475 (5.0298)	Prec@1 4.297 (4.480)	Prec@5 20.312 (15.523)
Epoch: [6][1280/7045]	Time 0.245 (0.252)	Data 0.193 (0.189)	Loss 5.0590 (5.0301)	Prec@1 6.641 (4.479)	Prec@5 16.406 (15.529)
Epoch: [6][1290/7045]	Time 0.362 (0.252)	Data 0.311 (0.189)	Loss 5.1874 (5.0311)	Prec@1 4.297 (4.476)	Prec@5 15.234 (15.518)
Epoch: [6][1300/7045]	Time 0.136 (0.252)	Data 0.085 (0.189)	Loss 5.0605 (5.0315)	Prec@1 5.469 (4.473)	Prec@5 16.016 (15.518)
Epoch: [6][1310/7045]	Time 0.383 (0.252)	Data 0.330 (0.189)	Loss 4.9463 (5.0312)	Prec@1 6.250 (4.475)	Prec@5 16.797 (15.525)
Epoch: [6][1320/7045]	Time 0.100 (0.252)	Data 0.001 (0.189)	Loss 5.0543 (5.0310)	Prec@1 5.469 (4.476)	Prec@5 16.016 (15.528)
Epoch: [6][1330/7045]	Time 0.113 (0.252)	Data 0.061 (0.189)	Loss 5.1490 (5.0312)	Prec@1 4.297 (4.477)	Prec@5 15.234 (15.525)
Epoch: [6][1340/7045]	Time 0.101 (0.252)	Data 0.001 (0.189)	Loss 4.9177 (5.0307)	Prec@1 6.250 (4.486)	Prec@5 19.141 (15.537)
Epoch: [6][1350/7045]	Time 0.107 (0.252)	Data 0.049 (0.189)	Loss 4.8469 (5.0303)	Prec@1 6.250 (4.485)	Prec@5 22.266 (15.546)
Epoch: [6][1360/7045]	Time 0.150 (0.252)	Data 0.098 (0.189)	Loss 5.0356 (5.0295)	Prec@1 5.859 (4.492)	Prec@5 18.750 (15.564)
Epoch: [6][1370/7045]	Time 0.101 (0.252)	Data 0.049 (0.189)	Loss 5.0516 (5.0294)	Prec@1 4.688 (4.494)	Prec@5 16.406 (15.571)
Epoch: [6][1380/7045]	Time 0.612 (0.252)	Data 0.562 (0.189)	Loss 4.9265 (5.0292)	Prec@1 4.297 (4.494)	Prec@5 16.406 (15.571)
Epoch: [6][1390/7045]	Time 0.306 (0.252)	Data 0.256 (0.189)	Loss 5.0192 (5.0292)	Prec@1 4.297 (4.492)	Prec@5 16.797 (15.571)
Epoch: [6][1400/7045]	Time 0.354 (0.252)	Data 0.303 (0.189)	Loss 5.0149 (5.0291)	Prec@1 3.125 (4.494)	Prec@5 15.625 (15.580)
Epoch: [6][1410/7045]	Time 0.350 (0.252)	Data 0.300 (0.189)	Loss 4.8377 (5.0286)	Prec@1 4.688 (4.500)	Prec@5 19.922 (15.597)
Epoch: [6][1420/7045]	Time 0.101 (0.252)	Data 0.001 (0.189)	Loss 5.1401 (5.0285)	Prec@1 3.516 (4.502)	Prec@5 14.453 (15.597)
Epoch: [6][1430/7045]	Time 0.738 (0.253)	Data 0.681 (0.189)	Loss 4.9913 (5.0283)	Prec@1 4.297 (4.505)	Prec@5 17.578 (15.603)
Epoch: [6][1440/7045]	Time 0.104 (0.252)	Data 0.052 (0.189)	Loss 4.9929 (5.0280)	Prec@1 3.125 (4.509)	Prec@5 14.844 (15.606)
Epoch: [6][1450/7045]	Time 0.502 (0.252)	Data 0.451 (0.189)	Loss 4.8746 (5.0279)	Prec@1 5.469 (4.502)	Prec@5 17.578 (15.603)
Epoch: [6][1460/7045]	Time 0.290 (0.252)	Data 0.238 (0.189)	Loss 5.1421 (5.0274)	Prec@1 3.906 (4.504)	Prec@5 16.016 (15.612)
Epoch: [6][1470/7045]	Time 0.107 (0.252)	Data 0.001 (0.189)	Loss 5.0341 (5.0276)	Prec@1 4.297 (4.503)	Prec@5 18.359 (15.613)
Epoch: [6][1480/7045]	Time 0.310 (0.252)	Data 0.258 (0.189)	Loss 5.1434 (5.0283)	Prec@1 1.562 (4.493)	Prec@5 10.156 (15.598)
Epoch: [6][1490/7045]	Time 0.420 (0.252)	Data 0.367 (0.189)	Loss 5.1068 (5.0285)	Prec@1 4.297 (4.490)	Prec@5 12.500 (15.595)
Epoch: [6][1500/7045]	Time 0.100 (0.252)	Data 0.045 (0.189)	Loss 4.9144 (5.0282)	Prec@1 7.031 (4.490)	Prec@5 15.234 (15.590)
Epoch: [6][1510/7045]	Time 0.222 (0.252)	Data 0.170 (0.189)	Loss 4.8721 (5.0284)	Prec@1 5.078 (4.493)	Prec@5 17.188 (15.589)
Epoch: [6][1520/7045]	Time 0.106 (0.252)	Data 0.001 (0.189)	Loss 5.0938 (5.0285)	Prec@1 5.469 (4.493)	Prec@5 14.844 (15.590)
Epoch: [6][1530/7045]	Time 0.139 (0.252)	Data 0.086 (0.189)	Loss 5.1487 (5.0286)	Prec@1 3.906 (4.492)	Prec@5 13.281 (15.587)
Epoch: [6][1540/7045]	Time 0.335 (0.252)	Data 0.283 (0.189)	Loss 5.0443 (5.0286)	Prec@1 3.516 (4.492)	Prec@5 14.844 (15.592)
Epoch: [6][1550/7045]	Time 0.146 (0.252)	Data 0.095 (0.189)	Loss 5.0371 (5.0281)	Prec@1 4.297 (4.496)	Prec@5 14.453 (15.597)
Epoch: [6][1560/7045]	Time 0.288 (0.252)	Data 0.238 (0.189)	Loss 4.9068 (5.0278)	Prec@1 3.906 (4.496)	Prec@5 16.406 (15.600)
Epoch: [6][1570/7045]	Time 0.101 (0.252)	Data 0.003 (0.189)	Loss 4.9755 (5.0278)	Prec@1 3.906 (4.495)	Prec@5 15.234 (15.598)
Epoch: [6][1580/7045]	Time 0.103 (0.252)	Data 0.001 (0.189)	Loss 5.1603 (5.0277)	Prec@1 5.078 (4.497)	Prec@5 16.406 (15.597)
Epoch: [6][1590/7045]	Time 0.169 (0.252)	Data 0.116 (0.189)	Loss 5.0189 (5.0276)	Prec@1 6.641 (4.497)	Prec@5 18.359 (15.598)
Epoch: [6][1600/7045]	Time 0.103 (0.252)	Data 0.001 (0.189)	Loss 5.0895 (5.0276)	Prec@1 2.734 (4.496)	Prec@5 12.891 (15.600)
Epoch: [6][1610/7045]	Time 0.143 (0.252)	Data 0.080 (0.189)	Loss 5.0875 (5.0279)	Prec@1 5.078 (4.496)	Prec@5 11.328 (15.590)
Epoch: [6][1620/7045]	Time 0.379 (0.252)	Data 0.328 (0.189)	Loss 5.0238 (5.0280)	Prec@1 5.469 (4.497)	Prec@5 16.797 (15.585)
Epoch: [6][1630/7045]	Time 0.173 (0.252)	Data 0.121 (0.189)	Loss 4.9578 (5.0280)	Prec@1 7.422 (4.497)	Prec@5 16.797 (15.592)
Epoch: [6][1640/7045]	Time 0.624 (0.252)	Data 0.571 (0.189)	Loss 5.0291 (5.0278)	Prec@1 5.078 (4.498)	Prec@5 15.625 (15.604)
Epoch: [6][1650/7045]	Time 0.102 (0.252)	Data 0.008 (0.188)	Loss 5.0344 (5.0280)	Prec@1 4.297 (4.494)	Prec@5 12.891 (15.596)
Epoch: [6][1660/7045]	Time 0.140 (0.252)	Data 0.089 (0.189)	Loss 5.0760 (5.0280)	Prec@1 3.906 (4.496)	Prec@5 15.625 (15.599)
Epoch: [6][1670/7045]	Time 0.103 (0.252)	Data 0.001 (0.188)	Loss 4.8645 (5.0277)	Prec@1 5.078 (4.500)	Prec@5 19.141 (15.609)
Epoch: [6][1680/7045]	Time 0.113 (0.252)	Data 0.005 (0.188)	Loss 5.0650 (5.0282)	Prec@1 5.078 (4.499)	Prec@5 14.844 (15.602)
Epoch: [6][1690/7045]	Time 0.522 (0.252)	Data 0.464 (0.188)	Loss 5.0312 (5.0280)	Prec@1 3.516 (4.501)	Prec@5 16.016 (15.607)
Epoch: [6][1700/7045]	Time 0.108 (0.252)	Data 0.001 (0.188)	Loss 4.9620 (5.0280)	Prec@1 8.203 (4.502)	Prec@5 18.750 (15.605)
Epoch: [6][1710/7045]	Time 0.616 (0.252)	Data 0.558 (0.188)	Loss 5.0534 (5.0280)	Prec@1 3.516 (4.505)	Prec@5 14.453 (15.607)
Epoch: [6][1720/7045]	Time 0.247 (0.252)	Data 0.197 (0.188)	Loss 5.0245 (5.0280)	Prec@1 4.297 (4.508)	Prec@5 13.672 (15.607)
Epoch: [6][1730/7045]	Time 0.197 (0.252)	Data 0.145 (0.188)	Loss 4.7928 (5.0277)	Prec@1 4.297 (4.507)	Prec@5 19.922 (15.610)
Epoch: [6][1740/7045]	Time 0.246 (0.252)	Data 0.195 (0.188)	Loss 5.0320 (5.0277)	Prec@1 4.688 (4.506)	Prec@5 15.625 (15.605)
Epoch: [6][1750/7045]	Time 0.095 (0.252)	Data 0.001 (0.188)	Loss 5.1132 (5.0278)	Prec@1 4.297 (4.504)	Prec@5 13.281 (15.603)
Epoch: [6][1760/7045]	Time 0.149 (0.252)	Data 0.097 (0.188)	Loss 4.9299 (5.0279)	Prec@1 4.297 (4.504)	Prec@5 14.844 (15.593)
Epoch: [6][1770/7045]	Time 0.199 (0.252)	Data 0.147 (0.188)	Loss 4.8704 (5.0279)	Prec@1 4.297 (4.504)	Prec@5 15.234 (15.594)
Epoch: [6][1780/7045]	Time 0.129 (0.252)	Data 0.078 (0.188)	Loss 5.0281 (5.0276)	Prec@1 3.906 (4.507)	Prec@5 16.797 (15.601)
Epoch: [6][1790/7045]	Time 0.485 (0.252)	Data 0.433 (0.188)	Loss 5.1063 (5.0277)	Prec@1 2.734 (4.509)	Prec@5 13.672 (15.601)
Epoch: [6][1800/7045]	Time 0.251 (0.252)	Data 0.200 (0.188)	Loss 5.0488 (5.0276)	Prec@1 5.078 (4.509)	Prec@5 17.969 (15.604)
Epoch: [6][1810/7045]	Time 0.309 (0.252)	Data 0.258 (0.188)	Loss 5.1286 (5.0280)	Prec@1 4.688 (4.508)	Prec@5 14.062 (15.597)
Epoch: [6][1820/7045]	Time 0.496 (0.252)	Data 0.445 (0.188)	Loss 5.1359 (5.0282)	Prec@1 5.078 (4.511)	Prec@5 14.844 (15.603)
Epoch: [6][1830/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 5.0142 (5.0283)	Prec@1 4.297 (4.509)	Prec@5 15.625 (15.603)
Epoch: [6][1840/7045]	Time 0.532 (0.252)	Data 0.481 (0.188)	Loss 5.0405 (5.0284)	Prec@1 4.688 (4.508)	Prec@5 16.016 (15.605)
Epoch: [6][1850/7045]	Time 0.111 (0.252)	Data 0.054 (0.188)	Loss 5.0015 (5.0285)	Prec@1 4.688 (4.505)	Prec@5 18.359 (15.603)
Epoch: [6][1860/7045]	Time 0.723 (0.252)	Data 0.672 (0.188)	Loss 4.9767 (5.0285)	Prec@1 5.859 (4.503)	Prec@5 15.234 (15.601)
Epoch: [6][1870/7045]	Time 0.137 (0.252)	Data 0.084 (0.188)	Loss 5.1534 (5.0286)	Prec@1 3.125 (4.501)	Prec@5 12.500 (15.597)
Epoch: [6][1880/7045]	Time 0.600 (0.252)	Data 0.548 (0.188)	Loss 5.0801 (5.0284)	Prec@1 3.906 (4.502)	Prec@5 10.156 (15.602)
Epoch: [6][1890/7045]	Time 0.160 (0.252)	Data 0.108 (0.188)	Loss 5.1521 (5.0286)	Prec@1 3.516 (4.499)	Prec@5 12.500 (15.600)
Epoch: [6][1900/7045]	Time 0.319 (0.252)	Data 0.266 (0.188)	Loss 5.1017 (5.0289)	Prec@1 4.688 (4.497)	Prec@5 16.797 (15.599)
Epoch: [6][1910/7045]	Time 0.486 (0.252)	Data 0.435 (0.188)	Loss 5.2538 (5.0291)	Prec@1 1.953 (4.496)	Prec@5 8.984 (15.596)
Epoch: [6][1920/7045]	Time 0.101 (0.252)	Data 0.016 (0.188)	Loss 4.9336 (5.0290)	Prec@1 5.078 (4.495)	Prec@5 18.750 (15.598)
Epoch: [6][1930/7045]	Time 0.613 (0.252)	Data 0.562 (0.188)	Loss 5.0639 (5.0291)	Prec@1 3.906 (4.494)	Prec@5 15.234 (15.596)
Epoch: [6][1940/7045]	Time 0.112 (0.252)	Data 0.010 (0.188)	Loss 4.9081 (5.0291)	Prec@1 5.859 (4.492)	Prec@5 15.234 (15.598)
Epoch: [6][1950/7045]	Time 0.531 (0.252)	Data 0.481 (0.188)	Loss 4.8917 (5.0292)	Prec@1 4.297 (4.492)	Prec@5 18.750 (15.601)
Epoch: [6][1960/7045]	Time 0.103 (0.252)	Data 0.001 (0.188)	Loss 4.8302 (5.0288)	Prec@1 5.859 (4.495)	Prec@5 19.531 (15.607)
Epoch: [6][1970/7045]	Time 0.328 (0.252)	Data 0.276 (0.188)	Loss 4.9429 (5.0285)	Prec@1 4.688 (4.496)	Prec@5 15.625 (15.609)
Epoch: [6][1980/7045]	Time 0.132 (0.251)	Data 0.082 (0.188)	Loss 4.9441 (5.0286)	Prec@1 7.031 (4.494)	Prec@5 16.797 (15.604)
Epoch: [6][1990/7045]	Time 0.215 (0.252)	Data 0.163 (0.188)	Loss 5.1004 (5.0285)	Prec@1 5.078 (4.495)	Prec@5 15.234 (15.607)
Epoch: [6][2000/7045]	Time 0.122 (0.251)	Data 0.070 (0.188)	Loss 5.1326 (5.0286)	Prec@1 4.297 (4.496)	Prec@5 14.062 (15.606)
Epoch: [6][2010/7045]	Time 0.110 (0.252)	Data 0.001 (0.188)	Loss 5.0596 (5.0288)	Prec@1 3.125 (4.493)	Prec@5 15.234 (15.602)
Epoch: [6][2020/7045]	Time 0.101 (0.251)	Data 0.001 (0.188)	Loss 5.0006 (5.0287)	Prec@1 5.078 (4.493)	Prec@5 16.797 (15.605)
Epoch: [6][2030/7045]	Time 0.152 (0.251)	Data 0.102 (0.188)	Loss 5.0316 (5.0286)	Prec@1 3.906 (4.494)	Prec@5 14.453 (15.608)
Epoch: [6][2040/7045]	Time 0.104 (0.251)	Data 0.001 (0.187)	Loss 5.0036 (5.0287)	Prec@1 3.125 (4.493)	Prec@5 13.672 (15.607)
Epoch: [6][2050/7045]	Time 0.110 (0.251)	Data 0.009 (0.187)	Loss 4.8566 (5.0286)	Prec@1 4.688 (4.493)	Prec@5 17.188 (15.609)
Epoch: [6][2060/7045]	Time 0.105 (0.251)	Data 0.001 (0.187)	Loss 5.0500 (5.0286)	Prec@1 5.469 (4.494)	Prec@5 15.234 (15.606)
Epoch: [6][2070/7045]	Time 0.226 (0.251)	Data 0.167 (0.187)	Loss 4.7996 (5.0283)	Prec@1 3.125 (4.495)	Prec@5 17.969 (15.608)
Epoch: [6][2080/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 5.2284 (5.0283)	Prec@1 3.125 (4.496)	Prec@5 12.109 (15.610)
Epoch: [6][2090/7045]	Time 0.243 (0.251)	Data 0.183 (0.187)	Loss 5.1099 (5.0281)	Prec@1 4.297 (4.498)	Prec@5 10.938 (15.607)
Epoch: [6][2100/7045]	Time 0.103 (0.251)	Data 0.049 (0.187)	Loss 5.2422 (5.0283)	Prec@1 4.688 (4.497)	Prec@5 13.281 (15.605)
Epoch: [6][2110/7045]	Time 0.220 (0.251)	Data 0.168 (0.187)	Loss 5.0842 (5.0285)	Prec@1 5.078 (4.501)	Prec@5 16.406 (15.605)
Epoch: [6][2120/7045]	Time 0.135 (0.251)	Data 0.083 (0.187)	Loss 5.2933 (5.0291)	Prec@1 2.344 (4.496)	Prec@5 12.109 (15.594)
Epoch: [6][2130/7045]	Time 0.191 (0.251)	Data 0.140 (0.187)	Loss 5.0052 (5.0293)	Prec@1 5.078 (4.496)	Prec@5 21.484 (15.593)
Epoch: [6][2140/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 5.0308 (5.0293)	Prec@1 7.031 (4.499)	Prec@5 16.406 (15.596)
Epoch: [6][2150/7045]	Time 0.101 (0.251)	Data 0.049 (0.187)	Loss 4.8739 (5.0292)	Prec@1 3.125 (4.497)	Prec@5 14.453 (15.595)
Epoch: [6][2160/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 5.1591 (5.0291)	Prec@1 5.078 (4.498)	Prec@5 14.062 (15.599)
Epoch: [6][2170/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 4.9569 (5.0287)	Prec@1 3.125 (4.498)	Prec@5 16.406 (15.603)
Epoch: [6][2180/7045]	Time 0.115 (0.251)	Data 0.062 (0.187)	Loss 5.0154 (5.0288)	Prec@1 2.734 (4.500)	Prec@5 18.750 (15.609)
Epoch: [6][2190/7045]	Time 0.294 (0.251)	Data 0.242 (0.187)	Loss 5.1376 (5.0290)	Prec@1 1.562 (4.496)	Prec@5 13.672 (15.606)
Epoch: [6][2200/7045]	Time 0.105 (0.251)	Data 0.014 (0.187)	Loss 5.1928 (5.0290)	Prec@1 4.297 (4.500)	Prec@5 12.109 (15.603)
Epoch: [6][2210/7045]	Time 0.467 (0.251)	Data 0.416 (0.187)	Loss 5.0174 (5.0290)	Prec@1 3.906 (4.501)	Prec@5 16.797 (15.605)
Epoch: [6][2220/7045]	Time 0.305 (0.251)	Data 0.254 (0.187)	Loss 5.0743 (5.0289)	Prec@1 3.125 (4.498)	Prec@5 13.672 (15.603)
Epoch: [6][2230/7045]	Time 0.430 (0.251)	Data 0.379 (0.187)	Loss 4.8217 (5.0287)	Prec@1 5.859 (4.500)	Prec@5 21.094 (15.609)
Epoch: [6][2240/7045]	Time 0.405 (0.251)	Data 0.354 (0.187)	Loss 5.0254 (5.0288)	Prec@1 2.734 (4.498)	Prec@5 14.453 (15.603)
Epoch: [6][2250/7045]	Time 0.300 (0.251)	Data 0.243 (0.187)	Loss 4.9390 (5.0287)	Prec@1 7.031 (4.498)	Prec@5 19.141 (15.607)
Epoch: [6][2260/7045]	Time 0.638 (0.251)	Data 0.586 (0.187)	Loss 4.9842 (5.0285)	Prec@1 3.516 (4.497)	Prec@5 12.500 (15.607)
Epoch: [6][2270/7045]	Time 0.147 (0.251)	Data 0.095 (0.187)	Loss 5.0256 (5.0285)	Prec@1 5.469 (4.499)	Prec@5 15.625 (15.608)
Epoch: [6][2280/7045]	Time 0.428 (0.251)	Data 0.376 (0.187)	Loss 5.0266 (5.0287)	Prec@1 5.859 (4.495)	Prec@5 14.844 (15.600)
Epoch: [6][2290/7045]	Time 0.107 (0.251)	Data 0.004 (0.187)	Loss 4.9718 (5.0285)	Prec@1 6.250 (4.496)	Prec@5 17.969 (15.609)
Epoch: [6][2300/7045]	Time 0.279 (0.251)	Data 0.227 (0.187)	Loss 4.9863 (5.0282)	Prec@1 5.078 (4.499)	Prec@5 18.750 (15.613)
Epoch: [6][2310/7045]	Time 0.107 (0.251)	Data 0.008 (0.186)	Loss 4.8247 (5.0280)	Prec@1 4.297 (4.500)	Prec@5 19.141 (15.620)
Epoch: [6][2320/7045]	Time 0.191 (0.250)	Data 0.139 (0.186)	Loss 5.0774 (5.0279)	Prec@1 3.906 (4.501)	Prec@5 14.844 (15.624)
Epoch: [6][2330/7045]	Time 0.113 (0.251)	Data 0.055 (0.186)	Loss 4.9459 (5.0276)	Prec@1 5.859 (4.504)	Prec@5 18.750 (15.629)
Epoch: [6][2340/7045]	Time 0.177 (0.250)	Data 0.125 (0.186)	Loss 5.0259 (5.0275)	Prec@1 2.734 (4.505)	Prec@5 15.625 (15.632)
Epoch: [6][2350/7045]	Time 0.107 (0.250)	Data 0.047 (0.186)	Loss 5.0686 (5.0274)	Prec@1 4.297 (4.504)	Prec@5 13.672 (15.630)
Epoch: [6][2360/7045]	Time 0.181 (0.250)	Data 0.128 (0.186)	Loss 4.9911 (5.0272)	Prec@1 6.641 (4.508)	Prec@5 17.578 (15.637)
Epoch: [6][2370/7045]	Time 0.111 (0.250)	Data 0.001 (0.186)	Loss 4.9815 (5.0270)	Prec@1 4.297 (4.510)	Prec@5 14.453 (15.639)
Epoch: [6][2380/7045]	Time 0.102 (0.250)	Data 0.001 (0.186)	Loss 5.0022 (5.0269)	Prec@1 3.125 (4.508)	Prec@5 16.406 (15.639)
Epoch: [6][2390/7045]	Time 0.101 (0.250)	Data 0.006 (0.186)	Loss 4.9550 (5.0271)	Prec@1 4.297 (4.508)	Prec@5 18.359 (15.636)
Epoch: [6][2400/7045]	Time 0.102 (0.250)	Data 0.044 (0.186)	Loss 5.0113 (5.0271)	Prec@1 7.031 (4.507)	Prec@5 16.797 (15.635)
Epoch: [6][2410/7045]	Time 0.100 (0.250)	Data 0.003 (0.186)	Loss 5.0850 (5.0271)	Prec@1 5.859 (4.507)	Prec@5 13.672 (15.628)
Epoch: [6][2420/7045]	Time 0.161 (0.250)	Data 0.109 (0.186)	Loss 5.0736 (5.0272)	Prec@1 4.297 (4.507)	Prec@5 14.844 (15.628)
Epoch: [6][2430/7045]	Time 0.152 (0.250)	Data 0.101 (0.186)	Loss 4.9859 (5.0273)	Prec@1 4.297 (4.505)	Prec@5 14.844 (15.624)
Epoch: [6][2440/7045]	Time 0.102 (0.250)	Data 0.003 (0.186)	Loss 4.9692 (5.0272)	Prec@1 5.078 (4.504)	Prec@5 15.625 (15.623)
Epoch: [6][2450/7045]	Time 0.103 (0.250)	Data 0.051 (0.186)	Loss 4.9697 (5.0271)	Prec@1 3.906 (4.506)	Prec@5 15.625 (15.623)
Epoch: [6][2460/7045]	Time 0.101 (0.250)	Data 0.006 (0.186)	Loss 4.9658 (5.0271)	Prec@1 3.906 (4.504)	Prec@5 18.359 (15.620)
Epoch: [6][2470/7045]	Time 0.163 (0.250)	Data 0.112 (0.186)	Loss 4.9288 (5.0268)	Prec@1 5.859 (4.507)	Prec@5 19.531 (15.629)
Epoch: [6][2480/7045]	Time 0.347 (0.250)	Data 0.296 (0.186)	Loss 5.0639 (5.0266)	Prec@1 5.469 (4.509)	Prec@5 17.969 (15.633)
Epoch: [6][2490/7045]	Time 0.226 (0.250)	Data 0.175 (0.186)	Loss 4.9571 (5.0264)	Prec@1 5.859 (4.513)	Prec@5 16.016 (15.635)
Epoch: [6][2500/7045]	Time 0.480 (0.250)	Data 0.429 (0.186)	Loss 5.0144 (5.0262)	Prec@1 3.906 (4.515)	Prec@5 16.406 (15.641)
Epoch: [6][2510/7045]	Time 0.341 (0.250)	Data 0.288 (0.186)	Loss 5.0009 (5.0262)	Prec@1 5.078 (4.515)	Prec@5 16.016 (15.640)
Epoch: [6][2520/7045]	Time 0.108 (0.250)	Data 0.001 (0.186)	Loss 5.0318 (5.0262)	Prec@1 3.125 (4.513)	Prec@5 15.625 (15.643)
Epoch: [6][2530/7045]	Time 0.450 (0.250)	Data 0.399 (0.186)	Loss 5.0286 (5.0262)	Prec@1 3.906 (4.512)	Prec@5 15.234 (15.641)
Epoch: [6][2540/7045]	Time 0.126 (0.250)	Data 0.075 (0.186)	Loss 5.0907 (5.0262)	Prec@1 5.469 (4.514)	Prec@5 14.062 (15.646)
Epoch: [6][2550/7045]	Time 0.122 (0.250)	Data 0.071 (0.186)	Loss 4.8365 (5.0260)	Prec@1 6.250 (4.516)	Prec@5 19.922 (15.649)
Epoch: [6][2560/7045]	Time 0.111 (0.250)	Data 0.060 (0.186)	Loss 5.0870 (5.0260)	Prec@1 3.516 (4.516)	Prec@5 14.844 (15.647)
Epoch: [6][2570/7045]	Time 0.124 (0.250)	Data 0.072 (0.186)	Loss 5.0293 (5.0262)	Prec@1 4.688 (4.516)	Prec@5 14.453 (15.642)
Epoch: [6][2580/7045]	Time 0.107 (0.250)	Data 0.054 (0.186)	Loss 5.1030 (5.0261)	Prec@1 3.906 (4.518)	Prec@5 18.359 (15.646)
Epoch: [6][2590/7045]	Time 0.141 (0.250)	Data 0.090 (0.186)	Loss 5.0275 (5.0261)	Prec@1 3.516 (4.519)	Prec@5 16.797 (15.647)
Epoch: [6][2600/7045]	Time 0.101 (0.250)	Data 0.004 (0.186)	Loss 5.0354 (5.0263)	Prec@1 5.859 (4.519)	Prec@5 18.750 (15.642)
Epoch: [6][2610/7045]	Time 0.102 (0.250)	Data 0.011 (0.186)	Loss 5.1067 (5.0264)	Prec@1 1.562 (4.517)	Prec@5 13.281 (15.639)
Epoch: [6][2620/7045]	Time 0.112 (0.250)	Data 0.057 (0.186)	Loss 5.1533 (5.0267)	Prec@1 3.125 (4.517)	Prec@5 13.281 (15.635)
Epoch: [6][2630/7045]	Time 0.101 (0.250)	Data 0.048 (0.186)	Loss 4.8675 (5.0268)	Prec@1 3.516 (4.512)	Prec@5 19.531 (15.633)
Epoch: [6][2640/7045]	Time 0.338 (0.250)	Data 0.286 (0.186)	Loss 4.9990 (5.0268)	Prec@1 4.297 (4.511)	Prec@5 18.750 (15.634)
Epoch: [6][2650/7045]	Time 0.270 (0.250)	Data 0.212 (0.186)	Loss 5.1035 (5.0269)	Prec@1 4.688 (4.508)	Prec@5 13.672 (15.630)
Epoch: [6][2660/7045]	Time 0.349 (0.250)	Data 0.298 (0.186)	Loss 5.0531 (5.0270)	Prec@1 3.906 (4.508)	Prec@5 14.062 (15.630)
Epoch: [6][2670/7045]	Time 0.113 (0.250)	Data 0.053 (0.186)	Loss 5.0139 (5.0269)	Prec@1 3.906 (4.509)	Prec@5 16.016 (15.632)
Epoch: [6][2680/7045]	Time 0.409 (0.250)	Data 0.358 (0.186)	Loss 5.1515 (5.0269)	Prec@1 3.125 (4.511)	Prec@5 11.328 (15.629)
Epoch: [6][2690/7045]	Time 0.229 (0.250)	Data 0.177 (0.186)	Loss 4.8647 (5.0267)	Prec@1 3.516 (4.514)	Prec@5 17.969 (15.635)
Epoch: [6][2700/7045]	Time 0.317 (0.250)	Data 0.266 (0.186)	Loss 4.9012 (5.0265)	Prec@1 5.469 (4.517)	Prec@5 13.672 (15.639)
Epoch: [6][2710/7045]	Time 0.321 (0.250)	Data 0.263 (0.186)	Loss 5.0287 (5.0261)	Prec@1 5.469 (4.520)	Prec@5 16.016 (15.648)
Epoch: [6][2720/7045]	Time 0.531 (0.250)	Data 0.476 (0.186)	Loss 5.0771 (5.0260)	Prec@1 5.078 (4.519)	Prec@5 15.625 (15.646)
Epoch: [6][2730/7045]	Time 0.282 (0.250)	Data 0.226 (0.186)	Loss 4.9721 (5.0260)	Prec@1 5.859 (4.520)	Prec@5 17.578 (15.648)
Epoch: [6][2740/7045]	Time 0.397 (0.250)	Data 0.337 (0.186)	Loss 5.1228 (5.0256)	Prec@1 6.250 (4.521)	Prec@5 11.719 (15.650)
Epoch: [6][2750/7045]	Time 0.237 (0.250)	Data 0.186 (0.186)	Loss 5.0997 (5.0256)	Prec@1 1.562 (4.521)	Prec@5 12.109 (15.651)
Epoch: [6][2760/7045]	Time 0.497 (0.250)	Data 0.438 (0.186)	Loss 5.1143 (5.0258)	Prec@1 4.688 (4.519)	Prec@5 11.719 (15.646)
Epoch: [6][2770/7045]	Time 0.227 (0.250)	Data 0.174 (0.186)	Loss 5.0309 (5.0258)	Prec@1 4.688 (4.519)	Prec@5 16.016 (15.646)
Epoch: [6][2780/7045]	Time 0.535 (0.250)	Data 0.479 (0.186)	Loss 4.9467 (5.0259)	Prec@1 6.250 (4.519)	Prec@5 17.188 (15.648)
Epoch: [6][2790/7045]	Time 0.199 (0.249)	Data 0.142 (0.186)	Loss 5.0904 (5.0260)	Prec@1 6.250 (4.518)	Prec@5 16.406 (15.647)
Epoch: [6][2800/7045]	Time 0.483 (0.250)	Data 0.432 (0.186)	Loss 4.9773 (5.0259)	Prec@1 3.906 (4.518)	Prec@5 14.453 (15.646)
Epoch: [6][2810/7045]	Time 0.110 (0.249)	Data 0.011 (0.186)	Loss 5.1619 (5.0261)	Prec@1 3.516 (4.519)	Prec@5 11.719 (15.643)
Epoch: [6][2820/7045]	Time 0.618 (0.250)	Data 0.567 (0.186)	Loss 5.1695 (5.0263)	Prec@1 5.078 (4.519)	Prec@5 15.234 (15.640)
Epoch: [6][2830/7045]	Time 0.101 (0.249)	Data 0.001 (0.186)	Loss 4.8816 (5.0264)	Prec@1 6.250 (4.520)	Prec@5 20.703 (15.640)
Epoch: [6][2840/7045]	Time 0.569 (0.249)	Data 0.518 (0.186)	Loss 5.1134 (5.0266)	Prec@1 4.297 (4.519)	Prec@5 14.844 (15.638)
Epoch: [6][2850/7045]	Time 0.157 (0.249)	Data 0.107 (0.186)	Loss 4.9539 (5.0264)	Prec@1 5.469 (4.521)	Prec@5 16.797 (15.642)
Epoch: [6][2860/7045]	Time 0.399 (0.249)	Data 0.348 (0.186)	Loss 5.0615 (5.0264)	Prec@1 5.469 (4.520)	Prec@5 16.406 (15.644)
Epoch: [6][2870/7045]	Time 0.492 (0.249)	Data 0.440 (0.186)	Loss 4.9899 (5.0265)	Prec@1 5.859 (4.517)	Prec@5 17.188 (15.643)
Epoch: [6][2880/7045]	Time 0.103 (0.249)	Data 0.052 (0.186)	Loss 4.9939 (5.0264)	Prec@1 2.734 (4.518)	Prec@5 14.453 (15.642)
Epoch: [6][2890/7045]	Time 0.634 (0.249)	Data 0.581 (0.186)	Loss 4.9664 (5.0264)	Prec@1 4.688 (4.516)	Prec@5 14.844 (15.646)
Epoch: [6][2900/7045]	Time 0.109 (0.249)	Data 0.010 (0.186)	Loss 4.9500 (5.0263)	Prec@1 6.250 (4.516)	Prec@5 16.406 (15.648)
Epoch: [6][2910/7045]	Time 0.562 (0.249)	Data 0.502 (0.186)	Loss 4.9590 (5.0262)	Prec@1 4.297 (4.516)	Prec@5 16.797 (15.650)
Epoch: [6][2920/7045]	Time 0.103 (0.249)	Data 0.004 (0.186)	Loss 4.9933 (5.0260)	Prec@1 3.906 (4.518)	Prec@5 14.844 (15.652)
Epoch: [6][2930/7045]	Time 0.256 (0.249)	Data 0.195 (0.186)	Loss 5.0289 (5.0259)	Prec@1 4.297 (4.520)	Prec@5 14.453 (15.656)
Epoch: [6][2940/7045]	Time 0.121 (0.249)	Data 0.069 (0.186)	Loss 5.1372 (5.0261)	Prec@1 1.953 (4.516)	Prec@5 10.547 (15.654)
Epoch: [6][2950/7045]	Time 0.231 (0.249)	Data 0.180 (0.186)	Loss 5.1408 (5.0260)	Prec@1 5.469 (4.516)	Prec@5 11.719 (15.655)
Epoch: [6][2960/7045]	Time 0.100 (0.249)	Data 0.046 (0.186)	Loss 5.2257 (5.0261)	Prec@1 3.906 (4.515)	Prec@5 14.062 (15.654)
Epoch: [6][2970/7045]	Time 0.338 (0.249)	Data 0.287 (0.186)	Loss 5.0653 (5.0259)	Prec@1 1.562 (4.517)	Prec@5 11.328 (15.657)
Epoch: [6][2980/7045]	Time 0.101 (0.249)	Data 0.005 (0.186)	Loss 5.1854 (5.0258)	Prec@1 4.688 (4.517)	Prec@5 14.062 (15.657)
Epoch: [6][2990/7045]	Time 0.426 (0.249)	Data 0.374 (0.186)	Loss 4.9797 (5.0258)	Prec@1 3.516 (4.518)	Prec@5 14.844 (15.655)
Epoch: [6][3000/7045]	Time 0.101 (0.249)	Data 0.001 (0.186)	Loss 5.0959 (5.0257)	Prec@1 3.516 (4.518)	Prec@5 10.547 (15.657)
Epoch: [6][3010/7045]	Time 0.375 (0.249)	Data 0.325 (0.186)	Loss 4.9391 (5.0257)	Prec@1 5.859 (4.517)	Prec@5 21.094 (15.655)
Epoch: [6][3020/7045]	Time 0.190 (0.249)	Data 0.138 (0.186)	Loss 5.1605 (5.0259)	Prec@1 3.125 (4.516)	Prec@5 12.109 (15.650)
Epoch: [6][3030/7045]	Time 0.325 (0.249)	Data 0.273 (0.186)	Loss 5.1764 (5.0260)	Prec@1 4.688 (4.517)	Prec@5 12.109 (15.646)
Epoch: [6][3040/7045]	Time 0.315 (0.249)	Data 0.264 (0.186)	Loss 4.8832 (5.0261)	Prec@1 6.641 (4.518)	Prec@5 18.359 (15.646)
Epoch: [6][3050/7045]	Time 0.232 (0.249)	Data 0.179 (0.186)	Loss 5.0723 (5.0260)	Prec@1 3.516 (4.518)	Prec@5 14.453 (15.644)
Epoch: [6][3060/7045]	Time 0.440 (0.249)	Data 0.389 (0.186)	Loss 5.1454 (5.0260)	Prec@1 3.125 (4.518)	Prec@5 13.281 (15.642)
Epoch: [6][3070/7045]	Time 0.179 (0.249)	Data 0.128 (0.186)	Loss 5.0719 (5.0261)	Prec@1 5.859 (4.518)	Prec@5 13.672 (15.638)
Epoch: [6][3080/7045]	Time 0.396 (0.249)	Data 0.345 (0.186)	Loss 5.2148 (5.0263)	Prec@1 3.906 (4.516)	Prec@5 13.281 (15.634)
Epoch: [6][3090/7045]	Time 0.111 (0.249)	Data 0.058 (0.186)	Loss 5.0732 (5.0267)	Prec@1 3.516 (4.513)	Prec@5 14.453 (15.626)
Epoch: [6][3100/7045]	Time 0.319 (0.249)	Data 0.267 (0.186)	Loss 5.1054 (5.0267)	Prec@1 1.172 (4.511)	Prec@5 16.016 (15.625)
Epoch: [6][3110/7045]	Time 0.147 (0.249)	Data 0.096 (0.186)	Loss 4.8962 (5.0265)	Prec@1 6.641 (4.512)	Prec@5 19.531 (15.628)
Epoch: [6][3120/7045]	Time 0.102 (0.249)	Data 0.017 (0.186)	Loss 4.9762 (5.0263)	Prec@1 2.344 (4.514)	Prec@5 14.844 (15.631)
Epoch: [6][3130/7045]	Time 0.195 (0.249)	Data 0.143 (0.186)	Loss 5.1087 (5.0264)	Prec@1 3.516 (4.512)	Prec@5 10.938 (15.626)
Epoch: [6][3140/7045]	Time 0.311 (0.249)	Data 0.252 (0.186)	Loss 5.0456 (5.0264)	Prec@1 2.734 (4.513)	Prec@5 16.406 (15.626)
Epoch: [6][3150/7045]	Time 0.102 (0.249)	Data 0.001 (0.186)	Loss 5.0767 (5.0263)	Prec@1 5.859 (4.514)	Prec@5 16.016 (15.629)
Epoch: [6][3160/7045]	Time 0.307 (0.249)	Data 0.255 (0.186)	Loss 5.1755 (5.0263)	Prec@1 3.125 (4.513)	Prec@5 12.500 (15.629)
Epoch: [6][3170/7045]	Time 0.157 (0.249)	Data 0.105 (0.186)	Loss 5.0336 (5.0263)	Prec@1 6.250 (4.516)	Prec@5 17.188 (15.632)
Epoch: [6][3180/7045]	Time 0.628 (0.249)	Data 0.577 (0.186)	Loss 5.0242 (5.0262)	Prec@1 5.859 (4.518)	Prec@5 16.406 (15.633)
Epoch: [6][3190/7045]	Time 0.104 (0.249)	Data 0.052 (0.186)	Loss 4.8650 (5.0258)	Prec@1 4.297 (4.518)	Prec@5 17.578 (15.637)
Epoch: [6][3200/7045]	Time 0.476 (0.249)	Data 0.424 (0.186)	Loss 5.0699 (5.0257)	Prec@1 4.297 (4.519)	Prec@5 15.234 (15.640)
Epoch: [6][3210/7045]	Time 0.100 (0.249)	Data 0.047 (0.186)	Loss 5.0826 (5.0259)	Prec@1 4.688 (4.519)	Prec@5 15.234 (15.639)
Epoch: [6][3220/7045]	Time 0.351 (0.249)	Data 0.298 (0.186)	Loss 5.1592 (5.0259)	Prec@1 3.125 (4.519)	Prec@5 12.109 (15.638)
Epoch: [6][3230/7045]	Time 0.102 (0.249)	Data 0.001 (0.186)	Loss 4.9011 (5.0259)	Prec@1 5.078 (4.519)	Prec@5 15.625 (15.637)
Epoch: [6][3240/7045]	Time 0.357 (0.249)	Data 0.305 (0.186)	Loss 4.8308 (5.0259)	Prec@1 5.078 (4.519)	Prec@5 15.234 (15.635)
Epoch: [6][3250/7045]	Time 0.131 (0.249)	Data 0.080 (0.186)	Loss 4.9810 (5.0258)	Prec@1 3.906 (4.521)	Prec@5 16.406 (15.638)
Epoch: [6][3260/7045]	Time 0.397 (0.249)	Data 0.346 (0.186)	Loss 5.0100 (5.0258)	Prec@1 5.469 (4.522)	Prec@5 17.188 (15.639)
Epoch: [6][3270/7045]	Time 0.102 (0.249)	Data 0.012 (0.186)	Loss 4.9402 (5.0258)	Prec@1 5.469 (4.521)	Prec@5 17.969 (15.638)
Epoch: [6][3280/7045]	Time 0.333 (0.249)	Data 0.281 (0.186)	Loss 5.0373 (5.0259)	Prec@1 3.516 (4.520)	Prec@5 14.062 (15.636)
Epoch: [6][3290/7045]	Time 0.101 (0.249)	Data 0.008 (0.186)	Loss 4.8967 (5.0258)	Prec@1 5.078 (4.522)	Prec@5 15.625 (15.637)
Epoch: [6][3300/7045]	Time 0.374 (0.249)	Data 0.314 (0.186)	Loss 5.1340 (5.0260)	Prec@1 5.078 (4.521)	Prec@5 11.719 (15.633)
Epoch: [6][3310/7045]	Time 0.118 (0.249)	Data 0.066 (0.186)	Loss 4.9694 (5.0262)	Prec@1 2.734 (4.519)	Prec@5 17.188 (15.629)
Epoch: [6][3320/7045]	Time 0.334 (0.249)	Data 0.283 (0.186)	Loss 5.1569 (5.0262)	Prec@1 3.125 (4.520)	Prec@5 15.625 (15.632)
Epoch: [6][3330/7045]	Time 0.101 (0.249)	Data 0.017 (0.186)	Loss 4.9774 (5.0261)	Prec@1 7.031 (4.521)	Prec@5 17.969 (15.636)
Epoch: [6][3340/7045]	Time 0.492 (0.249)	Data 0.440 (0.186)	Loss 5.0879 (5.0261)	Prec@1 1.953 (4.521)	Prec@5 13.672 (15.636)
Epoch: [6][3350/7045]	Time 0.162 (0.249)	Data 0.111 (0.186)	Loss 4.9451 (5.0261)	Prec@1 4.688 (4.520)	Prec@5 14.453 (15.633)
Epoch: [6][3360/7045]	Time 0.468 (0.249)	Data 0.410 (0.186)	Loss 5.0070 (5.0261)	Prec@1 4.297 (4.518)	Prec@5 16.406 (15.632)
Epoch: [6][3370/7045]	Time 0.155 (0.249)	Data 0.103 (0.186)	Loss 5.0104 (5.0262)	Prec@1 5.078 (4.517)	Prec@5 14.844 (15.630)
Epoch: [6][3380/7045]	Time 0.226 (0.249)	Data 0.174 (0.186)	Loss 5.1395 (5.0263)	Prec@1 4.688 (4.517)	Prec@5 15.234 (15.628)
Epoch: [6][3390/7045]	Time 0.110 (0.249)	Data 0.057 (0.186)	Loss 4.9682 (5.0264)	Prec@1 5.078 (4.516)	Prec@5 18.359 (15.628)
Epoch: [6][3400/7045]	Time 0.164 (0.249)	Data 0.106 (0.186)	Loss 5.1475 (5.0264)	Prec@1 4.688 (4.515)	Prec@5 17.188 (15.630)
Epoch: [6][3410/7045]	Time 0.103 (0.249)	Data 0.001 (0.186)	Loss 4.9632 (5.0264)	Prec@1 5.078 (4.515)	Prec@5 19.141 (15.632)
Epoch: [6][3420/7045]	Time 0.135 (0.249)	Data 0.075 (0.186)	Loss 5.0245 (5.0262)	Prec@1 2.734 (4.515)	Prec@5 14.453 (15.632)
Epoch: [6][3430/7045]	Time 0.306 (0.249)	Data 0.255 (0.186)	Loss 4.9931 (5.0262)	Prec@1 3.125 (4.515)	Prec@5 13.281 (15.632)
Epoch: [6][3440/7045]	Time 0.260 (0.249)	Data 0.209 (0.186)	Loss 4.9428 (5.0262)	Prec@1 3.516 (4.514)	Prec@5 17.578 (15.633)
Epoch: [6][3450/7045]	Time 0.132 (0.249)	Data 0.081 (0.186)	Loss 5.1831 (5.0262)	Prec@1 3.906 (4.514)	Prec@5 13.281 (15.633)
Epoch: [6][3460/7045]	Time 0.145 (0.249)	Data 0.092 (0.186)	Loss 5.0469 (5.0264)	Prec@1 1.562 (4.511)	Prec@5 14.453 (15.626)
Epoch: [6][3470/7045]	Time 0.471 (0.249)	Data 0.414 (0.186)	Loss 5.0092 (5.0267)	Prec@1 5.859 (4.509)	Prec@5 16.797 (15.620)
Epoch: [6][3480/7045]	Time 0.244 (0.249)	Data 0.194 (0.186)	Loss 5.0003 (5.0267)	Prec@1 5.078 (4.509)	Prec@5 15.234 (15.618)
Epoch: [6][3490/7045]	Time 0.365 (0.249)	Data 0.314 (0.186)	Loss 4.9774 (5.0268)	Prec@1 5.469 (4.507)	Prec@5 16.016 (15.615)
Epoch: [6][3500/7045]	Time 0.101 (0.248)	Data 0.015 (0.186)	Loss 4.9590 (5.0269)	Prec@1 4.688 (4.507)	Prec@5 16.016 (15.614)
Epoch: [6][3510/7045]	Time 0.101 (0.248)	Data 0.005 (0.186)	Loss 4.9522 (5.0269)	Prec@1 2.734 (4.506)	Prec@5 12.109 (15.612)
Epoch: [6][3520/7045]	Time 0.131 (0.248)	Data 0.081 (0.186)	Loss 4.9599 (5.0268)	Prec@1 5.469 (4.507)	Prec@5 15.625 (15.612)
Epoch: [6][3530/7045]	Time 0.473 (0.249)	Data 0.421 (0.186)	Loss 5.0789 (5.0270)	Prec@1 5.078 (4.506)	Prec@5 16.016 (15.610)
Epoch: [6][3540/7045]	Time 0.246 (0.248)	Data 0.194 (0.186)	Loss 5.1835 (5.0272)	Prec@1 4.688 (4.504)	Prec@5 11.719 (15.606)
Epoch: [6][3550/7045]	Time 0.341 (0.248)	Data 0.281 (0.186)	Loss 4.9548 (5.0271)	Prec@1 6.250 (4.506)	Prec@5 17.578 (15.608)
Epoch: [6][3560/7045]	Time 0.434 (0.249)	Data 0.384 (0.186)	Loss 4.9523 (5.0271)	Prec@1 5.859 (4.505)	Prec@5 18.359 (15.607)
Epoch: [6][3570/7045]	Time 0.194 (0.248)	Data 0.142 (0.186)	Loss 4.9794 (5.0269)	Prec@1 3.516 (4.506)	Prec@5 15.234 (15.611)
Epoch: [6][3580/7045]	Time 0.201 (0.249)	Data 0.143 (0.186)	Loss 5.0483 (5.0268)	Prec@1 4.688 (4.508)	Prec@5 16.797 (15.617)
Epoch: [6][3590/7045]	Time 0.101 (0.248)	Data 0.001 (0.186)	Loss 4.9028 (5.0266)	Prec@1 5.469 (4.508)	Prec@5 18.359 (15.621)
Epoch: [6][3600/7045]	Time 0.227 (0.248)	Data 0.171 (0.186)	Loss 5.0017 (5.0265)	Prec@1 4.688 (4.508)	Prec@5 19.922 (15.625)
Epoch: [6][3610/7045]	Time 0.426 (0.249)	Data 0.375 (0.186)	Loss 4.9369 (5.0265)	Prec@1 6.250 (4.508)	Prec@5 17.578 (15.625)
Epoch: [6][3620/7045]	Time 0.110 (0.248)	Data 0.001 (0.186)	Loss 5.0701 (5.0266)	Prec@1 4.297 (4.507)	Prec@5 16.016 (15.624)
Epoch: [6][3630/7045]	Time 0.683 (0.249)	Data 0.631 (0.186)	Loss 5.0957 (5.0266)	Prec@1 5.469 (4.506)	Prec@5 15.625 (15.623)
Epoch: [6][3640/7045]	Time 0.114 (0.248)	Data 0.064 (0.186)	Loss 5.0143 (5.0267)	Prec@1 4.297 (4.505)	Prec@5 16.016 (15.625)
Epoch: [6][3650/7045]	Time 0.102 (0.249)	Data 0.005 (0.186)	Loss 4.9303 (5.0265)	Prec@1 3.906 (4.506)	Prec@5 16.797 (15.625)
Epoch: [6][3660/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 4.7300 (5.0262)	Prec@1 7.031 (4.508)	Prec@5 18.359 (15.630)
Epoch: [6][3670/7045]	Time 0.109 (0.249)	Data 0.015 (0.186)	Loss 4.9433 (5.0262)	Prec@1 3.906 (4.507)	Prec@5 18.359 (15.630)
Epoch: [6][3680/7045]	Time 0.286 (0.248)	Data 0.234 (0.186)	Loss 5.0423 (5.0262)	Prec@1 4.688 (4.507)	Prec@5 14.844 (15.630)
Epoch: [6][3690/7045]	Time 0.200 (0.249)	Data 0.147 (0.186)	Loss 5.0464 (5.0262)	Prec@1 3.516 (4.505)	Prec@5 14.844 (15.632)
Epoch: [6][3700/7045]	Time 0.494 (0.249)	Data 0.441 (0.186)	Loss 5.0753 (5.0264)	Prec@1 5.078 (4.505)	Prec@5 13.672 (15.630)
Epoch: [6][3710/7045]	Time 0.223 (0.248)	Data 0.172 (0.186)	Loss 4.9947 (5.0263)	Prec@1 4.297 (4.506)	Prec@5 17.188 (15.633)
Epoch: [6][3720/7045]	Time 0.112 (0.249)	Data 0.050 (0.186)	Loss 5.1437 (5.0261)	Prec@1 3.516 (4.506)	Prec@5 14.062 (15.634)
Epoch: [6][3730/7045]	Time 0.106 (0.248)	Data 0.053 (0.186)	Loss 5.1027 (5.0260)	Prec@1 2.734 (4.507)	Prec@5 15.234 (15.636)
Epoch: [6][3740/7045]	Time 0.115 (0.249)	Data 0.064 (0.186)	Loss 4.9326 (5.0260)	Prec@1 3.906 (4.508)	Prec@5 17.578 (15.636)
Epoch: [6][3750/7045]	Time 0.286 (0.248)	Data 0.236 (0.186)	Loss 4.9701 (5.0260)	Prec@1 4.688 (4.509)	Prec@5 18.750 (15.638)
Epoch: [6][3760/7045]	Time 0.236 (0.249)	Data 0.177 (0.186)	Loss 5.0100 (5.0259)	Prec@1 4.297 (4.511)	Prec@5 14.844 (15.641)
Epoch: [6][3770/7045]	Time 0.215 (0.248)	Data 0.164 (0.186)	Loss 5.1318 (5.0258)	Prec@1 5.469 (4.512)	Prec@5 14.453 (15.643)
Epoch: [6][3780/7045]	Time 0.337 (0.248)	Data 0.286 (0.186)	Loss 4.8706 (5.0258)	Prec@1 5.859 (4.512)	Prec@5 17.188 (15.643)
Epoch: [6][3790/7045]	Time 0.193 (0.248)	Data 0.140 (0.186)	Loss 5.0616 (5.0258)	Prec@1 5.078 (4.510)	Prec@5 13.672 (15.639)
Epoch: [6][3800/7045]	Time 0.300 (0.248)	Data 0.249 (0.186)	Loss 5.0180 (5.0259)	Prec@1 5.078 (4.508)	Prec@5 17.578 (15.637)
Epoch: [6][3810/7045]	Time 0.420 (0.248)	Data 0.368 (0.186)	Loss 4.9273 (5.0259)	Prec@1 7.812 (4.508)	Prec@5 17.188 (15.635)
Epoch: [6][3820/7045]	Time 0.261 (0.248)	Data 0.201 (0.186)	Loss 5.0869 (5.0260)	Prec@1 3.906 (4.506)	Prec@5 15.625 (15.634)
Epoch: [6][3830/7045]	Time 0.491 (0.248)	Data 0.440 (0.186)	Loss 4.9086 (5.0261)	Prec@1 4.688 (4.505)	Prec@5 19.141 (15.633)
Epoch: [6][3840/7045]	Time 0.201 (0.248)	Data 0.151 (0.186)	Loss 5.0169 (5.0263)	Prec@1 5.078 (4.504)	Prec@5 16.406 (15.630)
Epoch: [6][3850/7045]	Time 0.448 (0.248)	Data 0.397 (0.186)	Loss 5.0166 (5.0264)	Prec@1 5.859 (4.504)	Prec@5 17.969 (15.628)
Epoch: [6][3860/7045]	Time 0.166 (0.248)	Data 0.115 (0.186)	Loss 4.9797 (5.0265)	Prec@1 5.859 (4.504)	Prec@5 15.234 (15.625)
Epoch: [6][3870/7045]	Time 0.578 (0.248)	Data 0.527 (0.186)	Loss 5.0686 (5.0262)	Prec@1 4.297 (4.506)	Prec@5 15.625 (15.633)
Epoch: [6][3880/7045]	Time 0.200 (0.248)	Data 0.148 (0.186)	Loss 4.8756 (5.0261)	Prec@1 6.641 (4.508)	Prec@5 18.750 (15.634)
Epoch: [6][3890/7045]	Time 0.396 (0.248)	Data 0.346 (0.186)	Loss 5.0536 (5.0260)	Prec@1 3.125 (4.508)	Prec@5 15.625 (15.636)
Epoch: [6][3900/7045]	Time 0.145 (0.248)	Data 0.094 (0.186)	Loss 5.0886 (5.0260)	Prec@1 4.297 (4.507)	Prec@5 14.062 (15.637)
Epoch: [6][3910/7045]	Time 0.236 (0.248)	Data 0.184 (0.185)	Loss 4.9849 (5.0260)	Prec@1 3.906 (4.506)	Prec@5 17.578 (15.635)
Epoch: [6][3920/7045]	Time 0.108 (0.248)	Data 0.011 (0.186)	Loss 4.8743 (5.0260)	Prec@1 8.594 (4.507)	Prec@5 18.750 (15.633)
Epoch: [6][3930/7045]	Time 0.275 (0.248)	Data 0.224 (0.186)	Loss 4.9672 (5.0259)	Prec@1 5.859 (4.509)	Prec@5 17.578 (15.634)
Epoch: [6][3940/7045]	Time 0.173 (0.248)	Data 0.122 (0.186)	Loss 4.8922 (5.0256)	Prec@1 2.734 (4.510)	Prec@5 17.188 (15.638)
Epoch: [6][3950/7045]	Time 0.251 (0.248)	Data 0.199 (0.186)	Loss 4.9327 (5.0257)	Prec@1 3.125 (4.509)	Prec@5 16.797 (15.636)
Epoch: [6][3960/7045]	Time 0.366 (0.248)	Data 0.316 (0.186)	Loss 5.0282 (5.0256)	Prec@1 5.078 (4.511)	Prec@5 15.234 (15.637)
Epoch: [6][3970/7045]	Time 0.106 (0.248)	Data 0.056 (0.186)	Loss 4.9309 (5.0255)	Prec@1 4.688 (4.513)	Prec@5 16.016 (15.642)
Epoch: [6][3980/7045]	Time 0.484 (0.248)	Data 0.433 (0.186)	Loss 5.1015 (5.0254)	Prec@1 4.297 (4.514)	Prec@5 12.500 (15.644)
Epoch: [6][3990/7045]	Time 0.101 (0.248)	Data 0.015 (0.186)	Loss 5.0060 (5.0252)	Prec@1 5.078 (4.513)	Prec@5 16.016 (15.645)
Epoch: [6][4000/7045]	Time 0.111 (0.248)	Data 0.001 (0.186)	Loss 5.0504 (5.0253)	Prec@1 4.688 (4.513)	Prec@5 16.797 (15.643)
Epoch: [6][4010/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 5.1070 (5.0253)	Prec@1 3.906 (4.513)	Prec@5 14.844 (15.645)
Epoch: [6][4020/7045]	Time 0.319 (0.248)	Data 0.258 (0.185)	Loss 4.9207 (5.0252)	Prec@1 4.688 (4.513)	Prec@5 21.875 (15.646)
Epoch: [6][4030/7045]	Time 0.444 (0.248)	Data 0.385 (0.186)	Loss 4.9767 (5.0251)	Prec@1 6.641 (4.513)	Prec@5 16.016 (15.647)
Epoch: [6][4040/7045]	Time 0.357 (0.248)	Data 0.305 (0.186)	Loss 5.0423 (5.0251)	Prec@1 4.688 (4.514)	Prec@5 13.281 (15.649)
Epoch: [6][4050/7045]	Time 0.117 (0.248)	Data 0.065 (0.186)	Loss 5.0378 (5.0252)	Prec@1 5.469 (4.514)	Prec@5 14.062 (15.646)
Epoch: [6][4060/7045]	Time 0.478 (0.248)	Data 0.427 (0.186)	Loss 5.0959 (5.0252)	Prec@1 4.297 (4.513)	Prec@5 16.016 (15.644)
Epoch: [6][4070/7045]	Time 0.102 (0.248)	Data 0.004 (0.185)	Loss 5.0108 (5.0253)	Prec@1 2.344 (4.512)	Prec@5 14.453 (15.643)
Epoch: [6][4080/7045]	Time 0.538 (0.248)	Data 0.486 (0.185)	Loss 5.1138 (5.0254)	Prec@1 4.297 (4.511)	Prec@5 14.844 (15.641)
Epoch: [6][4090/7045]	Time 0.176 (0.248)	Data 0.123 (0.185)	Loss 5.0513 (5.0257)	Prec@1 4.297 (4.510)	Prec@5 18.750 (15.637)
Epoch: [6][4100/7045]	Time 0.508 (0.248)	Data 0.457 (0.185)	Loss 5.1162 (5.0257)	Prec@1 5.078 (4.511)	Prec@5 12.891 (15.637)
Epoch: [6][4110/7045]	Time 0.261 (0.248)	Data 0.210 (0.185)	Loss 5.0813 (5.0257)	Prec@1 1.562 (4.511)	Prec@5 10.938 (15.636)
Epoch: [6][4120/7045]	Time 0.103 (0.248)	Data 0.020 (0.185)	Loss 5.1236 (5.0258)	Prec@1 4.297 (4.511)	Prec@5 13.672 (15.633)
Epoch: [6][4130/7045]	Time 0.102 (0.248)	Data 0.003 (0.185)	Loss 5.0164 (5.0258)	Prec@1 3.125 (4.510)	Prec@5 13.672 (15.632)
Epoch: [6][4140/7045]	Time 0.259 (0.248)	Data 0.208 (0.185)	Loss 4.9946 (5.0256)	Prec@1 7.422 (4.512)	Prec@5 22.266 (15.638)
Epoch: [6][4150/7045]	Time 0.253 (0.248)	Data 0.202 (0.185)	Loss 4.9833 (5.0256)	Prec@1 3.516 (4.511)	Prec@5 17.969 (15.640)
Epoch: [6][4160/7045]	Time 0.108 (0.248)	Data 0.056 (0.186)	Loss 4.8976 (5.0254)	Prec@1 3.906 (4.512)	Prec@5 16.406 (15.639)
Epoch: [6][4170/7045]	Time 0.333 (0.248)	Data 0.282 (0.186)	Loss 4.8888 (5.0253)	Prec@1 2.734 (4.513)	Prec@5 17.578 (15.639)
Epoch: [6][4180/7045]	Time 0.113 (0.248)	Data 0.053 (0.186)	Loss 4.9875 (5.0253)	Prec@1 1.953 (4.513)	Prec@5 16.016 (15.640)
Epoch: [6][4190/7045]	Time 0.552 (0.248)	Data 0.502 (0.186)	Loss 5.0365 (5.0253)	Prec@1 3.906 (4.514)	Prec@5 14.844 (15.638)
Epoch: [6][4200/7045]	Time 0.109 (0.248)	Data 0.013 (0.186)	Loss 5.0672 (5.0253)	Prec@1 5.078 (4.517)	Prec@5 14.453 (15.640)
Epoch: [6][4210/7045]	Time 0.646 (0.248)	Data 0.595 (0.186)	Loss 5.0259 (5.0252)	Prec@1 2.344 (4.518)	Prec@5 13.281 (15.643)
Epoch: [6][4220/7045]	Time 0.101 (0.248)	Data 0.050 (0.185)	Loss 4.8733 (5.0250)	Prec@1 7.031 (4.519)	Prec@5 19.531 (15.647)
Epoch: [6][4230/7045]	Time 0.326 (0.248)	Data 0.273 (0.186)	Loss 5.0031 (5.0249)	Prec@1 7.031 (4.521)	Prec@5 16.406 (15.651)
Epoch: [6][4240/7045]	Time 0.100 (0.248)	Data 0.002 (0.185)	Loss 4.9457 (5.0248)	Prec@1 5.078 (4.522)	Prec@5 17.578 (15.653)
Epoch: [6][4250/7045]	Time 0.111 (0.248)	Data 0.001 (0.186)	Loss 5.0070 (5.0249)	Prec@1 3.516 (4.521)	Prec@5 15.625 (15.652)
Epoch: [6][4260/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 5.1125 (5.0249)	Prec@1 3.516 (4.521)	Prec@5 14.062 (15.650)
Epoch: [6][4270/7045]	Time 0.115 (0.248)	Data 0.064 (0.185)	Loss 4.9506 (5.0249)	Prec@1 5.859 (4.521)	Prec@5 16.406 (15.652)
Epoch: [6][4280/7045]	Time 0.386 (0.248)	Data 0.335 (0.185)	Loss 5.1486 (5.0250)	Prec@1 3.125 (4.519)	Prec@5 12.109 (15.648)
Epoch: [6][4290/7045]	Time 0.350 (0.248)	Data 0.299 (0.185)	Loss 5.0352 (5.0249)	Prec@1 6.250 (4.521)	Prec@5 18.750 (15.651)
Epoch: [6][4300/7045]	Time 0.336 (0.248)	Data 0.286 (0.185)	Loss 5.0541 (5.0249)	Prec@1 5.469 (4.522)	Prec@5 17.188 (15.653)
Epoch: [6][4310/7045]	Time 0.106 (0.248)	Data 0.053 (0.185)	Loss 4.9941 (5.0250)	Prec@1 5.859 (4.522)	Prec@5 17.578 (15.653)
Epoch: [6][4320/7045]	Time 0.172 (0.248)	Data 0.121 (0.185)	Loss 4.9954 (5.0249)	Prec@1 5.469 (4.523)	Prec@5 16.797 (15.655)
Epoch: [6][4330/7045]	Time 0.101 (0.248)	Data 0.002 (0.185)	Loss 4.9085 (5.0249)	Prec@1 7.031 (4.523)	Prec@5 19.531 (15.654)
Epoch: [6][4340/7045]	Time 0.101 (0.248)	Data 0.015 (0.185)	Loss 4.9754 (5.0250)	Prec@1 2.734 (4.521)	Prec@5 14.844 (15.651)
Epoch: [6][4350/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 5.0783 (5.0250)	Prec@1 3.906 (4.521)	Prec@5 11.719 (15.650)
Epoch: [6][4360/7045]	Time 0.379 (0.248)	Data 0.321 (0.185)	Loss 4.8052 (5.0249)	Prec@1 8.594 (4.522)	Prec@5 21.094 (15.653)
Epoch: [6][4370/7045]	Time 0.197 (0.248)	Data 0.145 (0.185)	Loss 5.0078 (5.0249)	Prec@1 4.297 (4.522)	Prec@5 13.281 (15.653)
Epoch: [6][4380/7045]	Time 0.549 (0.248)	Data 0.493 (0.185)	Loss 5.0986 (5.0248)	Prec@1 3.516 (4.523)	Prec@5 12.891 (15.653)
Epoch: [6][4390/7045]	Time 0.103 (0.248)	Data 0.001 (0.185)	Loss 4.9452 (5.0248)	Prec@1 2.734 (4.524)	Prec@5 16.406 (15.652)
Epoch: [6][4400/7045]	Time 0.500 (0.248)	Data 0.447 (0.185)	Loss 4.8848 (5.0247)	Prec@1 5.469 (4.524)	Prec@5 18.359 (15.652)
Epoch: [6][4410/7045]	Time 0.137 (0.248)	Data 0.086 (0.185)	Loss 5.0015 (5.0247)	Prec@1 5.078 (4.524)	Prec@5 15.625 (15.651)
Epoch: [6][4420/7045]	Time 0.337 (0.248)	Data 0.281 (0.186)	Loss 4.9875 (5.0246)	Prec@1 3.906 (4.525)	Prec@5 19.141 (15.653)
Epoch: [6][4430/7045]	Time 0.107 (0.248)	Data 0.054 (0.185)	Loss 4.9262 (5.0246)	Prec@1 7.422 (4.525)	Prec@5 17.188 (15.652)
Epoch: [6][4440/7045]	Time 0.408 (0.248)	Data 0.357 (0.186)	Loss 5.0726 (5.0246)	Prec@1 3.516 (4.526)	Prec@5 13.672 (15.655)
Epoch: [6][4450/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 4.8594 (5.0244)	Prec@1 6.641 (4.526)	Prec@5 20.703 (15.657)
Epoch: [6][4460/7045]	Time 0.137 (0.248)	Data 0.085 (0.185)	Loss 4.9116 (5.0244)	Prec@1 5.078 (4.528)	Prec@5 16.797 (15.658)
Epoch: [6][4470/7045]	Time 0.119 (0.248)	Data 0.067 (0.185)	Loss 5.0101 (5.0243)	Prec@1 4.297 (4.528)	Prec@5 19.922 (15.661)
Epoch: [6][4480/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 5.0515 (5.0243)	Prec@1 4.297 (4.528)	Prec@5 15.234 (15.660)
Epoch: [6][4490/7045]	Time 0.231 (0.248)	Data 0.180 (0.185)	Loss 4.9296 (5.0242)	Prec@1 3.906 (4.527)	Prec@5 16.016 (15.660)
Epoch: [6][4500/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 4.9353 (5.0241)	Prec@1 5.078 (4.528)	Prec@5 20.703 (15.660)
Epoch: [6][4510/7045]	Time 0.164 (0.248)	Data 0.113 (0.185)	Loss 4.8975 (5.0240)	Prec@1 5.078 (4.529)	Prec@5 16.797 (15.662)
Epoch: [6][4520/7045]	Time 0.110 (0.248)	Data 0.059 (0.185)	Loss 5.1122 (5.0239)	Prec@1 3.516 (4.531)	Prec@5 13.281 (15.664)
Epoch: [6][4530/7045]	Time 0.137 (0.248)	Data 0.085 (0.185)	Loss 5.0419 (5.0239)	Prec@1 2.344 (4.530)	Prec@5 16.016 (15.664)
Epoch: [6][4540/7045]	Time 0.112 (0.248)	Data 0.060 (0.185)	Loss 5.0752 (5.0239)	Prec@1 4.297 (4.529)	Prec@5 15.234 (15.664)
Epoch: [6][4550/7045]	Time 0.140 (0.248)	Data 0.088 (0.185)	Loss 5.1498 (5.0240)	Prec@1 4.297 (4.530)	Prec@5 13.281 (15.662)
Epoch: [6][4560/7045]	Time 0.166 (0.248)	Data 0.110 (0.185)	Loss 5.2371 (5.0242)	Prec@1 3.516 (4.528)	Prec@5 12.891 (15.659)
Epoch: [6][4570/7045]	Time 0.456 (0.248)	Data 0.405 (0.185)	Loss 5.2662 (5.0242)	Prec@1 3.516 (4.528)	Prec@5 10.156 (15.657)
Epoch: [6][4580/7045]	Time 0.246 (0.248)	Data 0.192 (0.185)	Loss 5.0655 (5.0244)	Prec@1 4.688 (4.526)	Prec@5 13.672 (15.652)
Epoch: [6][4590/7045]	Time 0.490 (0.248)	Data 0.433 (0.185)	Loss 5.1339 (5.0244)	Prec@1 3.906 (4.525)	Prec@5 14.844 (15.650)
Epoch: [6][4600/7045]	Time 0.266 (0.248)	Data 0.215 (0.185)	Loss 5.0145 (5.0245)	Prec@1 3.125 (4.525)	Prec@5 15.234 (15.647)
Epoch: [6][4610/7045]	Time 0.380 (0.248)	Data 0.328 (0.185)	Loss 5.1129 (5.0247)	Prec@1 4.297 (4.524)	Prec@5 13.672 (15.644)
Epoch: [6][4620/7045]	Time 0.102 (0.248)	Data 0.049 (0.185)	Loss 5.1304 (5.0250)	Prec@1 2.344 (4.521)	Prec@5 16.016 (15.642)
Epoch: [6][4630/7045]	Time 0.307 (0.248)	Data 0.256 (0.185)	Loss 5.1121 (5.0251)	Prec@1 3.516 (4.520)	Prec@5 13.281 (15.638)
Epoch: [6][4640/7045]	Time 0.119 (0.248)	Data 0.067 (0.185)	Loss 5.1494 (5.0253)	Prec@1 3.125 (4.518)	Prec@5 13.281 (15.636)
Epoch: [6][4650/7045]	Time 0.247 (0.248)	Data 0.195 (0.185)	Loss 4.9675 (5.0254)	Prec@1 4.297 (4.518)	Prec@5 14.062 (15.633)
Epoch: [6][4660/7045]	Time 0.142 (0.248)	Data 0.089 (0.185)	Loss 4.9661 (5.0253)	Prec@1 5.078 (4.519)	Prec@5 15.625 (15.634)
Epoch: [6][4670/7045]	Time 0.365 (0.248)	Data 0.314 (0.185)	Loss 4.8812 (5.0250)	Prec@1 4.688 (4.519)	Prec@5 18.359 (15.636)
Epoch: [6][4680/7045]	Time 0.278 (0.248)	Data 0.228 (0.185)	Loss 5.0080 (5.0249)	Prec@1 6.641 (4.520)	Prec@5 16.406 (15.638)
Epoch: [6][4690/7045]	Time 0.472 (0.248)	Data 0.420 (0.185)	Loss 5.0126 (5.0249)	Prec@1 5.859 (4.521)	Prec@5 16.016 (15.639)
Epoch: [6][4700/7045]	Time 0.109 (0.248)	Data 0.017 (0.185)	Loss 4.9334 (5.0248)	Prec@1 5.078 (4.520)	Prec@5 19.922 (15.640)
Epoch: [6][4710/7045]	Time 0.588 (0.248)	Data 0.536 (0.185)	Loss 5.0612 (5.0248)	Prec@1 4.297 (4.519)	Prec@5 14.844 (15.640)
Epoch: [6][4720/7045]	Time 0.116 (0.248)	Data 0.065 (0.185)	Loss 5.1373 (5.0249)	Prec@1 3.516 (4.518)	Prec@5 14.453 (15.636)
Epoch: [6][4730/7045]	Time 0.757 (0.248)	Data 0.707 (0.185)	Loss 5.0276 (5.0249)	Prec@1 4.688 (4.517)	Prec@5 16.406 (15.635)
Epoch: [6][4740/7045]	Time 0.100 (0.248)	Data 0.001 (0.185)	Loss 5.1168 (5.0248)	Prec@1 4.297 (4.518)	Prec@5 15.625 (15.639)
Epoch: [6][4750/7045]	Time 0.527 (0.248)	Data 0.475 (0.185)	Loss 4.9097 (5.0247)	Prec@1 4.297 (4.518)	Prec@5 19.141 (15.642)
Epoch: [6][4760/7045]	Time 0.274 (0.248)	Data 0.224 (0.185)	Loss 4.9911 (5.0246)	Prec@1 3.906 (4.518)	Prec@5 16.797 (15.645)
Epoch: [6][4770/7045]	Time 0.198 (0.248)	Data 0.146 (0.185)	Loss 5.1493 (5.0247)	Prec@1 4.688 (4.517)	Prec@5 16.797 (15.646)
Epoch: [6][4780/7045]	Time 0.466 (0.248)	Data 0.416 (0.185)	Loss 5.0588 (5.0245)	Prec@1 3.906 (4.518)	Prec@5 16.406 (15.650)
Epoch: [6][4790/7045]	Time 0.165 (0.248)	Data 0.113 (0.185)	Loss 5.1259 (5.0245)	Prec@1 2.734 (4.518)	Prec@5 12.109 (15.651)
Epoch: [6][4800/7045]	Time 0.528 (0.248)	Data 0.477 (0.185)	Loss 4.9547 (5.0245)	Prec@1 5.078 (4.519)	Prec@5 16.016 (15.652)
Epoch: [6][4810/7045]	Time 0.111 (0.248)	Data 0.060 (0.185)	Loss 4.8371 (5.0245)	Prec@1 6.250 (4.521)	Prec@5 18.750 (15.653)
Epoch: [6][4820/7045]	Time 0.448 (0.248)	Data 0.397 (0.185)	Loss 4.9381 (5.0245)	Prec@1 4.297 (4.521)	Prec@5 15.625 (15.653)
Epoch: [6][4830/7045]	Time 0.102 (0.248)	Data 0.013 (0.185)	Loss 4.9586 (5.0243)	Prec@1 6.641 (4.523)	Prec@5 17.578 (15.656)
Epoch: [6][4840/7045]	Time 0.321 (0.248)	Data 0.269 (0.185)	Loss 5.0200 (5.0244)	Prec@1 4.688 (4.522)	Prec@5 10.156 (15.654)
Epoch: [6][4850/7045]	Time 0.130 (0.248)	Data 0.079 (0.185)	Loss 5.0194 (5.0243)	Prec@1 4.297 (4.523)	Prec@5 14.844 (15.656)
Epoch: [6][4860/7045]	Time 0.200 (0.248)	Data 0.149 (0.185)	Loss 5.1151 (5.0244)	Prec@1 3.906 (4.523)	Prec@5 14.062 (15.654)
Epoch: [6][4870/7045]	Time 0.102 (0.248)	Data 0.010 (0.185)	Loss 5.0210 (5.0245)	Prec@1 3.906 (4.523)	Prec@5 16.016 (15.653)
Epoch: [6][4880/7045]	Time 0.104 (0.248)	Data 0.051 (0.185)	Loss 5.1199 (5.0246)	Prec@1 3.516 (4.523)	Prec@5 15.234 (15.651)
Epoch: [6][4890/7045]	Time 0.111 (0.248)	Data 0.001 (0.185)	Loss 5.2139 (5.0247)	Prec@1 4.297 (4.522)	Prec@5 12.109 (15.650)
Epoch: [6][4900/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 4.9516 (5.0247)	Prec@1 5.078 (4.523)	Prec@5 17.969 (15.651)
Epoch: [6][4910/7045]	Time 0.103 (0.248)	Data 0.050 (0.185)	Loss 5.2689 (5.0248)	Prec@1 3.516 (4.521)	Prec@5 12.500 (15.650)
Epoch: [6][4920/7045]	Time 0.102 (0.248)	Data 0.044 (0.185)	Loss 5.0623 (5.0249)	Prec@1 1.953 (4.520)	Prec@5 12.891 (15.647)
Epoch: [6][4930/7045]	Time 0.336 (0.248)	Data 0.285 (0.185)	Loss 5.0359 (5.0250)	Prec@1 7.031 (4.522)	Prec@5 17.969 (15.647)
Epoch: [6][4940/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 4.9549 (5.0249)	Prec@1 5.078 (4.523)	Prec@5 17.969 (15.649)
Epoch: [6][4950/7045]	Time 0.276 (0.248)	Data 0.224 (0.185)	Loss 5.0462 (5.0250)	Prec@1 3.906 (4.523)	Prec@5 12.500 (15.649)
Epoch: [6][4960/7045]	Time 0.187 (0.248)	Data 0.136 (0.185)	Loss 4.9930 (5.0251)	Prec@1 5.469 (4.524)	Prec@5 12.109 (15.646)
Epoch: [6][4970/7045]	Time 0.403 (0.248)	Data 0.342 (0.185)	Loss 4.8174 (5.0251)	Prec@1 5.469 (4.524)	Prec@5 18.750 (15.648)
Epoch: [6][4980/7045]	Time 0.198 (0.248)	Data 0.145 (0.185)	Loss 5.0502 (5.0250)	Prec@1 3.906 (4.525)	Prec@5 13.281 (15.649)
Epoch: [6][4990/7045]	Time 0.276 (0.248)	Data 0.225 (0.185)	Loss 5.0166 (5.0250)	Prec@1 5.859 (4.525)	Prec@5 15.625 (15.648)
Epoch: [6][5000/7045]	Time 0.177 (0.248)	Data 0.127 (0.185)	Loss 5.1314 (5.0250)	Prec@1 1.953 (4.525)	Prec@5 12.891 (15.648)
Epoch: [6][5010/7045]	Time 0.257 (0.248)	Data 0.205 (0.185)	Loss 4.9666 (5.0250)	Prec@1 3.516 (4.525)	Prec@5 17.969 (15.649)
Epoch: [6][5020/7045]	Time 0.101 (0.248)	Data 0.010 (0.185)	Loss 4.9234 (5.0249)	Prec@1 3.516 (4.525)	Prec@5 15.625 (15.649)
Epoch: [6][5030/7045]	Time 0.170 (0.248)	Data 0.119 (0.185)	Loss 4.8782 (5.0248)	Prec@1 5.859 (4.525)	Prec@5 16.797 (15.653)
Epoch: [6][5040/7045]	Time 0.249 (0.248)	Data 0.199 (0.185)	Loss 5.0001 (5.0248)	Prec@1 5.859 (4.526)	Prec@5 19.531 (15.655)
Epoch: [6][5050/7045]	Time 0.629 (0.248)	Data 0.576 (0.185)	Loss 4.9696 (5.0248)	Prec@1 5.859 (4.526)	Prec@5 17.578 (15.655)
Epoch: [6][5060/7045]	Time 0.149 (0.248)	Data 0.097 (0.185)	Loss 5.2111 (5.0248)	Prec@1 4.688 (4.527)	Prec@5 14.062 (15.657)
Epoch: [6][5070/7045]	Time 0.547 (0.248)	Data 0.495 (0.185)	Loss 4.9272 (5.0247)	Prec@1 4.297 (4.527)	Prec@5 17.188 (15.656)
Epoch: [6][5080/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 4.9902 (5.0246)	Prec@1 5.469 (4.528)	Prec@5 19.922 (15.659)
Epoch: [6][5090/7045]	Time 0.697 (0.248)	Data 0.645 (0.185)	Loss 5.0430 (5.0246)	Prec@1 3.516 (4.529)	Prec@5 14.453 (15.661)
Epoch: [6][5100/7045]	Time 0.110 (0.248)	Data 0.001 (0.185)	Loss 5.2253 (5.0246)	Prec@1 4.297 (4.528)	Prec@5 13.672 (15.659)
Epoch: [6][5110/7045]	Time 0.523 (0.248)	Data 0.472 (0.185)	Loss 4.9564 (5.0245)	Prec@1 5.859 (4.528)	Prec@5 19.141 (15.661)
Epoch: [6][5120/7045]	Time 0.102 (0.248)	Data 0.004 (0.185)	Loss 5.1095 (5.0246)	Prec@1 4.688 (4.528)	Prec@5 13.672 (15.660)
Epoch: [6][5130/7045]	Time 0.497 (0.248)	Data 0.446 (0.185)	Loss 4.9559 (5.0244)	Prec@1 3.906 (4.529)	Prec@5 13.281 (15.661)
Epoch: [6][5140/7045]	Time 0.101 (0.248)	Data 0.043 (0.185)	Loss 4.9861 (5.0244)	Prec@1 4.297 (4.530)	Prec@5 16.797 (15.662)
Epoch: [6][5150/7045]	Time 0.432 (0.248)	Data 0.380 (0.185)	Loss 5.1466 (5.0243)	Prec@1 4.688 (4.531)	Prec@5 14.062 (15.665)
Epoch: [6][5160/7045]	Time 0.102 (0.248)	Data 0.020 (0.185)	Loss 5.0227 (5.0242)	Prec@1 3.125 (4.531)	Prec@5 14.844 (15.664)
Epoch: [6][5170/7045]	Time 0.366 (0.248)	Data 0.314 (0.185)	Loss 4.9337 (5.0240)	Prec@1 4.688 (4.531)	Prec@5 17.578 (15.666)
Epoch: [6][5180/7045]	Time 0.316 (0.248)	Data 0.264 (0.185)	Loss 5.1815 (5.0241)	Prec@1 2.734 (4.530)	Prec@5 12.109 (15.665)
Epoch: [6][5190/7045]	Time 0.107 (0.248)	Data 0.001 (0.185)	Loss 5.0984 (5.0241)	Prec@1 5.078 (4.531)	Prec@5 16.016 (15.668)
Epoch: [6][5200/7045]	Time 0.405 (0.248)	Data 0.354 (0.185)	Loss 4.7946 (5.0240)	Prec@1 4.688 (4.532)	Prec@5 17.188 (15.668)
Epoch: [6][5210/7045]	Time 0.303 (0.248)	Data 0.253 (0.185)	Loss 5.0945 (5.0240)	Prec@1 5.078 (4.532)	Prec@5 14.062 (15.668)
Epoch: [6][5220/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 5.0432 (5.0239)	Prec@1 3.906 (4.531)	Prec@5 17.578 (15.668)
Epoch: [6][5230/7045]	Time 0.139 (0.248)	Data 0.087 (0.185)	Loss 5.0460 (5.0238)	Prec@1 2.734 (4.532)	Prec@5 13.281 (15.669)
Epoch: [6][5240/7045]	Time 0.104 (0.248)	Data 0.050 (0.185)	Loss 5.0371 (5.0238)	Prec@1 5.859 (4.533)	Prec@5 17.188 (15.669)
Epoch: [6][5250/7045]	Time 0.143 (0.248)	Data 0.091 (0.185)	Loss 4.9973 (5.0238)	Prec@1 3.125 (4.533)	Prec@5 16.797 (15.671)
Epoch: [6][5260/7045]	Time 0.103 (0.248)	Data 0.048 (0.185)	Loss 5.0053 (5.0238)	Prec@1 4.297 (4.533)	Prec@5 15.234 (15.671)
Epoch: [6][5270/7045]	Time 0.343 (0.248)	Data 0.291 (0.185)	Loss 4.9727 (5.0239)	Prec@1 4.688 (4.534)	Prec@5 16.016 (15.668)
Epoch: [6][5280/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 5.0791 (5.0239)	Prec@1 5.078 (4.533)	Prec@5 15.625 (15.669)
Epoch: [6][5290/7045]	Time 0.645 (0.248)	Data 0.594 (0.185)	Loss 5.0186 (5.0239)	Prec@1 5.469 (4.533)	Prec@5 14.453 (15.669)
Epoch: [6][5300/7045]	Time 0.157 (0.248)	Data 0.106 (0.185)	Loss 4.8562 (5.0237)	Prec@1 4.297 (4.535)	Prec@5 18.750 (15.672)
Epoch: [6][5310/7045]	Time 0.166 (0.248)	Data 0.115 (0.185)	Loss 5.0019 (5.0237)	Prec@1 5.469 (4.536)	Prec@5 15.625 (15.673)
Epoch: [6][5320/7045]	Time 0.655 (0.248)	Data 0.603 (0.185)	Loss 5.0350 (5.0237)	Prec@1 3.906 (4.535)	Prec@5 17.188 (15.673)
Epoch: [6][5330/7045]	Time 0.099 (0.248)	Data 0.001 (0.185)	Loss 4.9984 (5.0237)	Prec@1 3.125 (4.534)	Prec@5 14.062 (15.673)
Epoch: [6][5340/7045]	Time 0.621 (0.248)	Data 0.562 (0.185)	Loss 5.0106 (5.0237)	Prec@1 4.688 (4.534)	Prec@5 15.234 (15.672)
Epoch: [6][5350/7045]	Time 0.197 (0.248)	Data 0.146 (0.185)	Loss 5.0999 (5.0237)	Prec@1 3.125 (4.534)	Prec@5 15.625 (15.671)
Epoch: [6][5360/7045]	Time 0.148 (0.248)	Data 0.096 (0.185)	Loss 5.1670 (5.0238)	Prec@1 1.953 (4.533)	Prec@5 11.328 (15.669)
Epoch: [6][5370/7045]	Time 0.609 (0.248)	Data 0.550 (0.185)	Loss 5.0547 (5.0238)	Prec@1 3.906 (4.531)	Prec@5 13.672 (15.668)
Epoch: [6][5380/7045]	Time 0.104 (0.248)	Data 0.002 (0.185)	Loss 4.8409 (5.0238)	Prec@1 5.859 (4.530)	Prec@5 19.922 (15.667)
Epoch: [6][5390/7045]	Time 0.605 (0.248)	Data 0.544 (0.185)	Loss 4.8318 (5.0237)	Prec@1 7.812 (4.531)	Prec@5 18.750 (15.669)
Epoch: [6][5400/7045]	Time 0.109 (0.248)	Data 0.058 (0.185)	Loss 4.9428 (5.0235)	Prec@1 5.859 (4.532)	Prec@5 17.578 (15.671)
Epoch: [6][5410/7045]	Time 0.624 (0.248)	Data 0.572 (0.185)	Loss 5.0505 (5.0235)	Prec@1 2.734 (4.534)	Prec@5 14.453 (15.672)
Epoch: [6][5420/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 4.9647 (5.0236)	Prec@1 4.688 (4.534)	Prec@5 16.406 (15.672)
Epoch: [6][5430/7045]	Time 0.657 (0.248)	Data 0.596 (0.185)	Loss 5.0248 (5.0237)	Prec@1 3.125 (4.533)	Prec@5 17.578 (15.669)
Epoch: [6][5440/7045]	Time 0.109 (0.248)	Data 0.049 (0.185)	Loss 5.0878 (5.0237)	Prec@1 4.688 (4.534)	Prec@5 17.578 (15.671)
Epoch: [6][5450/7045]	Time 0.487 (0.248)	Data 0.435 (0.185)	Loss 5.0314 (5.0236)	Prec@1 5.078 (4.535)	Prec@5 12.891 (15.675)
Epoch: [6][5460/7045]	Time 0.104 (0.248)	Data 0.005 (0.185)	Loss 5.0293 (5.0236)	Prec@1 5.078 (4.535)	Prec@5 16.016 (15.673)
Epoch: [6][5470/7045]	Time 0.617 (0.248)	Data 0.566 (0.185)	Loss 4.9813 (5.0236)	Prec@1 4.297 (4.535)	Prec@5 18.750 (15.673)
Epoch: [6][5480/7045]	Time 0.100 (0.248)	Data 0.001 (0.185)	Loss 5.0113 (5.0235)	Prec@1 3.125 (4.535)	Prec@5 16.406 (15.671)
Epoch: [6][5490/7045]	Time 0.270 (0.248)	Data 0.219 (0.185)	Loss 5.0827 (5.0235)	Prec@1 4.688 (4.535)	Prec@5 17.578 (15.673)
Epoch: [6][5500/7045]	Time 0.106 (0.248)	Data 0.014 (0.185)	Loss 4.8907 (5.0234)	Prec@1 4.297 (4.535)	Prec@5 18.750 (15.674)
Epoch: [6][5510/7045]	Time 0.120 (0.248)	Data 0.067 (0.185)	Loss 4.8677 (5.0234)	Prec@1 4.688 (4.535)	Prec@5 16.406 (15.673)
Epoch: [6][5520/7045]	Time 0.144 (0.248)	Data 0.086 (0.185)	Loss 4.8526 (5.0234)	Prec@1 4.297 (4.533)	Prec@5 17.578 (15.674)
Epoch: [6][5530/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 5.1334 (5.0234)	Prec@1 4.688 (4.534)	Prec@5 14.844 (15.673)
Epoch: [6][5540/7045]	Time 0.451 (0.248)	Data 0.398 (0.185)	Loss 4.8891 (5.0234)	Prec@1 4.688 (4.534)	Prec@5 18.359 (15.674)
Epoch: [6][5550/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 5.0387 (5.0234)	Prec@1 4.688 (4.534)	Prec@5 17.188 (15.674)
Epoch: [6][5560/7045]	Time 0.485 (0.248)	Data 0.434 (0.185)	Loss 4.9560 (5.0234)	Prec@1 5.469 (4.534)	Prec@5 17.188 (15.671)
Epoch: [6][5570/7045]	Time 0.199 (0.248)	Data 0.140 (0.185)	Loss 4.8857 (5.0234)	Prec@1 3.906 (4.534)	Prec@5 17.969 (15.671)
Epoch: [6][5580/7045]	Time 0.338 (0.248)	Data 0.287 (0.185)	Loss 5.0950 (5.0234)	Prec@1 3.906 (4.533)	Prec@5 14.844 (15.671)
Epoch: [6][5590/7045]	Time 0.101 (0.248)	Data 0.010 (0.185)	Loss 4.7740 (5.0233)	Prec@1 3.516 (4.533)	Prec@5 17.188 (15.671)
Epoch: [6][5600/7045]	Time 0.313 (0.248)	Data 0.263 (0.185)	Loss 5.0146 (5.0233)	Prec@1 7.031 (4.535)	Prec@5 18.359 (15.675)
Epoch: [6][5610/7045]	Time 0.206 (0.248)	Data 0.156 (0.185)	Loss 5.0971 (5.0233)	Prec@1 3.516 (4.535)	Prec@5 14.062 (15.673)
Epoch: [6][5620/7045]	Time 0.137 (0.248)	Data 0.085 (0.185)	Loss 5.0205 (5.0234)	Prec@1 6.250 (4.534)	Prec@5 16.797 (15.671)
Epoch: [6][5630/7045]	Time 0.245 (0.248)	Data 0.193 (0.185)	Loss 5.0559 (5.0234)	Prec@1 5.078 (4.534)	Prec@5 17.188 (15.670)
Epoch: [6][5640/7045]	Time 0.266 (0.248)	Data 0.215 (0.185)	Loss 4.9602 (5.0235)	Prec@1 6.641 (4.534)	Prec@5 16.406 (15.671)
Epoch: [6][5650/7045]	Time 0.146 (0.248)	Data 0.094 (0.185)	Loss 5.0873 (5.0235)	Prec@1 2.734 (4.534)	Prec@5 17.578 (15.670)
Epoch: [6][5660/7045]	Time 0.276 (0.248)	Data 0.223 (0.185)	Loss 4.9198 (5.0234)	Prec@1 2.344 (4.534)	Prec@5 17.188 (15.670)
Epoch: [6][5670/7045]	Time 0.111 (0.248)	Data 0.059 (0.185)	Loss 5.0677 (5.0234)	Prec@1 4.297 (4.533)	Prec@5 12.109 (15.668)
Epoch: [6][5680/7045]	Time 0.243 (0.248)	Data 0.191 (0.185)	Loss 4.9986 (5.0235)	Prec@1 2.344 (4.531)	Prec@5 15.625 (15.665)
Epoch: [6][5690/7045]	Time 0.502 (0.248)	Data 0.450 (0.185)	Loss 5.0458 (5.0234)	Prec@1 4.297 (4.531)	Prec@5 14.453 (15.665)
Epoch: [6][5700/7045]	Time 0.176 (0.248)	Data 0.126 (0.185)	Loss 4.9650 (5.0234)	Prec@1 4.688 (4.532)	Prec@5 16.016 (15.666)
Epoch: [6][5710/7045]	Time 0.438 (0.248)	Data 0.387 (0.185)	Loss 4.9939 (5.0234)	Prec@1 5.469 (4.531)	Prec@5 13.281 (15.667)
Epoch: [6][5720/7045]	Time 0.279 (0.248)	Data 0.229 (0.185)	Loss 5.0461 (5.0234)	Prec@1 5.469 (4.531)	Prec@5 17.188 (15.666)
Epoch: [6][5730/7045]	Time 0.200 (0.248)	Data 0.148 (0.185)	Loss 5.0195 (5.0235)	Prec@1 2.344 (4.530)	Prec@5 13.672 (15.665)
Epoch: [6][5740/7045]	Time 0.193 (0.248)	Data 0.142 (0.185)	Loss 5.1626 (5.0235)	Prec@1 3.516 (4.529)	Prec@5 11.328 (15.665)
Epoch: [6][5750/7045]	Time 0.416 (0.248)	Data 0.364 (0.185)	Loss 4.8427 (5.0236)	Prec@1 4.688 (4.529)	Prec@5 18.359 (15.664)
Epoch: [6][5760/7045]	Time 0.100 (0.248)	Data 0.048 (0.185)	Loss 4.9740 (5.0235)	Prec@1 4.688 (4.529)	Prec@5 18.359 (15.666)
Epoch: [6][5770/7045]	Time 0.448 (0.248)	Data 0.395 (0.185)	Loss 5.0523 (5.0235)	Prec@1 5.078 (4.529)	Prec@5 16.797 (15.668)
Epoch: [6][5780/7045]	Time 0.130 (0.248)	Data 0.078 (0.185)	Loss 4.9468 (5.0234)	Prec@1 5.078 (4.529)	Prec@5 17.578 (15.667)
Epoch: [6][5790/7045]	Time 0.116 (0.248)	Data 0.001 (0.185)	Loss 4.9428 (5.0234)	Prec@1 6.641 (4.529)	Prec@5 18.359 (15.667)
Epoch: [6][5800/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 4.9077 (5.0234)	Prec@1 5.469 (4.530)	Prec@5 18.750 (15.665)
Epoch: [6][5810/7045]	Time 0.429 (0.248)	Data 0.378 (0.185)	Loss 4.9517 (5.0234)	Prec@1 4.297 (4.529)	Prec@5 16.016 (15.664)
Epoch: [6][5820/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 5.0787 (5.0234)	Prec@1 3.516 (4.530)	Prec@5 12.500 (15.664)
Epoch: [6][5830/7045]	Time 0.451 (0.248)	Data 0.388 (0.185)	Loss 4.9865 (5.0235)	Prec@1 4.688 (4.529)	Prec@5 15.234 (15.663)
Epoch: [6][5840/7045]	Time 0.216 (0.248)	Data 0.163 (0.185)	Loss 5.1425 (5.0234)	Prec@1 3.516 (4.531)	Prec@5 13.281 (15.664)
Epoch: [6][5850/7045]	Time 0.403 (0.248)	Data 0.350 (0.185)	Loss 5.2460 (5.0235)	Prec@1 3.125 (4.530)	Prec@5 12.891 (15.662)
Epoch: [6][5860/7045]	Time 0.274 (0.248)	Data 0.217 (0.185)	Loss 5.1372 (5.0236)	Prec@1 5.469 (4.530)	Prec@5 14.453 (15.660)
Epoch: [6][5870/7045]	Time 0.466 (0.248)	Data 0.410 (0.185)	Loss 4.8859 (5.0235)	Prec@1 4.688 (4.531)	Prec@5 16.797 (15.662)
Epoch: [6][5880/7045]	Time 0.113 (0.248)	Data 0.061 (0.185)	Loss 5.1697 (5.0235)	Prec@1 5.859 (4.531)	Prec@5 14.844 (15.663)
Epoch: [6][5890/7045]	Time 0.298 (0.248)	Data 0.247 (0.185)	Loss 4.9639 (5.0234)	Prec@1 4.688 (4.531)	Prec@5 17.578 (15.664)
Epoch: [6][5900/7045]	Time 0.104 (0.248)	Data 0.021 (0.185)	Loss 4.8687 (5.0233)	Prec@1 5.469 (4.532)	Prec@5 19.531 (15.666)
Epoch: [6][5910/7045]	Time 0.630 (0.248)	Data 0.578 (0.185)	Loss 4.9421 (5.0232)	Prec@1 4.688 (4.531)	Prec@5 14.453 (15.667)
Epoch: [6][5920/7045]	Time 0.110 (0.248)	Data 0.001 (0.185)	Loss 5.0712 (5.0232)	Prec@1 5.078 (4.532)	Prec@5 17.578 (15.671)
Epoch: [6][5930/7045]	Time 0.499 (0.248)	Data 0.448 (0.185)	Loss 4.9746 (5.0232)	Prec@1 3.906 (4.532)	Prec@5 16.016 (15.671)
Epoch: [6][5940/7045]	Time 0.102 (0.248)	Data 0.006 (0.185)	Loss 5.0973 (5.0232)	Prec@1 3.906 (4.532)	Prec@5 14.844 (15.671)
Epoch: [6][5950/7045]	Time 0.531 (0.248)	Data 0.480 (0.185)	Loss 5.0781 (5.0233)	Prec@1 2.344 (4.534)	Prec@5 12.891 (15.671)
Epoch: [6][5960/7045]	Time 0.101 (0.248)	Data 0.049 (0.185)	Loss 4.9637 (5.0232)	Prec@1 3.516 (4.535)	Prec@5 19.922 (15.673)
Epoch: [6][5970/7045]	Time 0.389 (0.248)	Data 0.329 (0.185)	Loss 5.1199 (5.0231)	Prec@1 5.078 (4.536)	Prec@5 16.016 (15.673)
Epoch: [6][5980/7045]	Time 0.116 (0.248)	Data 0.065 (0.185)	Loss 5.0016 (5.0231)	Prec@1 5.859 (4.536)	Prec@5 16.406 (15.674)
Epoch: [6][5990/7045]	Time 0.210 (0.248)	Data 0.158 (0.185)	Loss 5.0933 (5.0231)	Prec@1 3.125 (4.535)	Prec@5 14.062 (15.673)
Epoch: [6][6000/7045]	Time 0.100 (0.248)	Data 0.010 (0.185)	Loss 4.8631 (5.0230)	Prec@1 2.734 (4.534)	Prec@5 15.234 (15.672)
Epoch: [6][6010/7045]	Time 0.107 (0.248)	Data 0.006 (0.185)	Loss 5.0538 (5.0230)	Prec@1 3.516 (4.535)	Prec@5 14.453 (15.671)
Epoch: [6][6020/7045]	Time 0.102 (0.248)	Data 0.017 (0.185)	Loss 5.0274 (5.0230)	Prec@1 5.469 (4.535)	Prec@5 14.062 (15.671)
Epoch: [6][6030/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 4.9390 (5.0229)	Prec@1 5.078 (4.536)	Prec@5 14.844 (15.673)
Epoch: [6][6040/7045]	Time 0.389 (0.248)	Data 0.339 (0.185)	Loss 4.9879 (5.0229)	Prec@1 3.125 (4.536)	Prec@5 14.453 (15.673)
Epoch: [6][6050/7045]	Time 0.111 (0.248)	Data 0.058 (0.185)	Loss 4.9478 (5.0228)	Prec@1 4.688 (4.536)	Prec@5 16.406 (15.674)
Epoch: [6][6060/7045]	Time 0.677 (0.248)	Data 0.619 (0.185)	Loss 4.9784 (5.0227)	Prec@1 4.688 (4.536)	Prec@5 14.453 (15.674)
Epoch: [6][6070/7045]	Time 0.111 (0.248)	Data 0.001 (0.185)	Loss 4.9599 (5.0227)	Prec@1 6.250 (4.535)	Prec@5 14.844 (15.674)
Epoch: [6][6080/7045]	Time 0.571 (0.248)	Data 0.519 (0.185)	Loss 5.0143 (5.0226)	Prec@1 3.906 (4.536)	Prec@5 11.719 (15.674)
Epoch: [6][6090/7045]	Time 0.233 (0.248)	Data 0.182 (0.185)	Loss 4.8983 (5.0225)	Prec@1 5.469 (4.537)	Prec@5 16.406 (15.676)
Epoch: [6][6100/7045]	Time 0.512 (0.248)	Data 0.459 (0.185)	Loss 4.9561 (5.0224)	Prec@1 4.297 (4.537)	Prec@5 14.844 (15.675)
Epoch: [6][6110/7045]	Time 0.107 (0.248)	Data 0.014 (0.185)	Loss 5.0756 (5.0224)	Prec@1 3.125 (4.537)	Prec@5 12.109 (15.675)
Epoch: [6][6120/7045]	Time 0.337 (0.248)	Data 0.286 (0.185)	Loss 5.0201 (5.0224)	Prec@1 5.469 (4.537)	Prec@5 15.234 (15.675)
Epoch: [6][6130/7045]	Time 0.164 (0.248)	Data 0.113 (0.185)	Loss 5.0024 (5.0224)	Prec@1 3.516 (4.537)	Prec@5 18.359 (15.676)
Epoch: [6][6140/7045]	Time 0.416 (0.248)	Data 0.365 (0.185)	Loss 4.8600 (5.0224)	Prec@1 4.688 (4.537)	Prec@5 14.453 (15.674)
Epoch: [6][6150/7045]	Time 0.209 (0.248)	Data 0.159 (0.185)	Loss 5.0495 (5.0224)	Prec@1 3.125 (4.536)	Prec@5 12.109 (15.674)
Epoch: [6][6160/7045]	Time 0.252 (0.248)	Data 0.199 (0.185)	Loss 5.1147 (5.0225)	Prec@1 4.297 (4.536)	Prec@5 14.062 (15.673)
Epoch: [6][6170/7045]	Time 0.265 (0.248)	Data 0.213 (0.185)	Loss 5.1254 (5.0226)	Prec@1 3.906 (4.535)	Prec@5 17.188 (15.670)
Epoch: [6][6180/7045]	Time 0.201 (0.248)	Data 0.150 (0.185)	Loss 4.9340 (5.0226)	Prec@1 4.688 (4.535)	Prec@5 17.188 (15.670)
Epoch: [6][6190/7045]	Time 0.312 (0.248)	Data 0.255 (0.185)	Loss 5.0137 (5.0226)	Prec@1 3.906 (4.535)	Prec@5 16.016 (15.670)
Epoch: [6][6200/7045]	Time 0.570 (0.248)	Data 0.519 (0.185)	Loss 4.9837 (5.0225)	Prec@1 3.906 (4.535)	Prec@5 17.188 (15.672)
Epoch: [6][6210/7045]	Time 0.271 (0.248)	Data 0.220 (0.185)	Loss 4.8603 (5.0225)	Prec@1 3.906 (4.535)	Prec@5 17.969 (15.672)
Epoch: [6][6220/7045]	Time 0.111 (0.248)	Data 0.060 (0.185)	Loss 4.9807 (5.0225)	Prec@1 3.125 (4.536)	Prec@5 18.750 (15.674)
Epoch: [6][6230/7045]	Time 0.115 (0.248)	Data 0.001 (0.185)	Loss 5.1324 (5.0225)	Prec@1 2.344 (4.536)	Prec@5 12.109 (15.675)
Epoch: [6][6240/7045]	Time 0.284 (0.248)	Data 0.233 (0.185)	Loss 5.1861 (5.0226)	Prec@1 3.516 (4.536)	Prec@5 14.844 (15.677)
Epoch: [6][6250/7045]	Time 0.217 (0.248)	Data 0.165 (0.185)	Loss 4.9421 (5.0225)	Prec@1 4.688 (4.537)	Prec@5 14.844 (15.677)
Epoch: [6][6260/7045]	Time 0.102 (0.248)	Data 0.005 (0.185)	Loss 4.8397 (5.0225)	Prec@1 4.688 (4.537)	Prec@5 19.531 (15.679)
Epoch: [6][6270/7045]	Time 0.433 (0.248)	Data 0.381 (0.185)	Loss 4.9969 (5.0225)	Prec@1 3.906 (4.537)	Prec@5 13.281 (15.680)
Epoch: [6][6280/7045]	Time 0.100 (0.248)	Data 0.019 (0.185)	Loss 5.0304 (5.0226)	Prec@1 1.953 (4.536)	Prec@5 12.891 (15.678)
Epoch: [6][6290/7045]	Time 0.368 (0.248)	Data 0.317 (0.185)	Loss 5.1316 (5.0227)	Prec@1 4.688 (4.535)	Prec@5 14.062 (15.677)
Epoch: [6][6300/7045]	Time 0.215 (0.248)	Data 0.163 (0.185)	Loss 5.1264 (5.0228)	Prec@1 3.125 (4.535)	Prec@5 11.719 (15.676)
Epoch: [6][6310/7045]	Time 0.498 (0.248)	Data 0.438 (0.185)	Loss 4.9570 (5.0229)	Prec@1 7.031 (4.534)	Prec@5 17.969 (15.675)
Epoch: [6][6320/7045]	Time 0.190 (0.248)	Data 0.134 (0.185)	Loss 5.0209 (5.0229)	Prec@1 4.688 (4.534)	Prec@5 12.891 (15.674)
Epoch: [6][6330/7045]	Time 0.525 (0.248)	Data 0.475 (0.185)	Loss 5.1839 (5.0229)	Prec@1 3.906 (4.534)	Prec@5 13.281 (15.675)
Epoch: [6][6340/7045]	Time 0.185 (0.248)	Data 0.135 (0.185)	Loss 5.1803 (5.0231)	Prec@1 2.344 (4.535)	Prec@5 11.719 (15.674)
Epoch: [6][6350/7045]	Time 0.282 (0.248)	Data 0.231 (0.185)	Loss 5.0622 (5.0231)	Prec@1 3.906 (4.534)	Prec@5 16.016 (15.675)
Epoch: [6][6360/7045]	Time 0.243 (0.248)	Data 0.192 (0.185)	Loss 5.1342 (5.0231)	Prec@1 4.297 (4.533)	Prec@5 12.109 (15.674)
Epoch: [6][6370/7045]	Time 0.162 (0.248)	Data 0.111 (0.185)	Loss 5.0215 (5.0231)	Prec@1 4.688 (4.533)	Prec@5 13.281 (15.673)
Epoch: [6][6380/7045]	Time 0.222 (0.248)	Data 0.171 (0.185)	Loss 5.0918 (5.0232)	Prec@1 5.078 (4.534)	Prec@5 14.453 (15.674)
Epoch: [6][6390/7045]	Time 0.278 (0.248)	Data 0.226 (0.185)	Loss 4.8015 (5.0232)	Prec@1 5.859 (4.534)	Prec@5 19.531 (15.675)
Epoch: [6][6400/7045]	Time 0.109 (0.248)	Data 0.003 (0.185)	Loss 5.0714 (5.0231)	Prec@1 6.250 (4.534)	Prec@5 14.453 (15.675)
Epoch: [6][6410/7045]	Time 0.330 (0.248)	Data 0.278 (0.185)	Loss 4.9372 (5.0231)	Prec@1 5.078 (4.534)	Prec@5 16.016 (15.675)
Epoch: [6][6420/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 5.0581 (5.0231)	Prec@1 6.250 (4.534)	Prec@5 16.016 (15.677)
Epoch: [6][6430/7045]	Time 0.131 (0.248)	Data 0.079 (0.185)	Loss 4.9609 (5.0230)	Prec@1 4.297 (4.535)	Prec@5 17.969 (15.679)
Epoch: [6][6440/7045]	Time 0.107 (0.248)	Data 0.006 (0.185)	Loss 4.9602 (5.0230)	Prec@1 5.078 (4.535)	Prec@5 16.406 (15.680)
Epoch: [6][6450/7045]	Time 0.112 (0.248)	Data 0.059 (0.185)	Loss 4.9747 (5.0230)	Prec@1 5.078 (4.535)	Prec@5 17.188 (15.680)
Epoch: [6][6460/7045]	Time 0.214 (0.248)	Data 0.156 (0.185)	Loss 5.0156 (5.0230)	Prec@1 4.297 (4.535)	Prec@5 15.234 (15.679)
Epoch: [6][6470/7045]	Time 0.150 (0.248)	Data 0.098 (0.185)	Loss 4.9398 (5.0231)	Prec@1 3.906 (4.534)	Prec@5 16.406 (15.678)
Epoch: [6][6480/7045]	Time 0.106 (0.248)	Data 0.053 (0.185)	Loss 5.1810 (5.0231)	Prec@1 3.125 (4.534)	Prec@5 10.938 (15.678)
Epoch: [6][6490/7045]	Time 0.403 (0.248)	Data 0.352 (0.185)	Loss 4.9279 (5.0232)	Prec@1 6.250 (4.534)	Prec@5 16.016 (15.676)
Epoch: [6][6500/7045]	Time 0.341 (0.248)	Data 0.289 (0.185)	Loss 4.9728 (5.0232)	Prec@1 3.906 (4.533)	Prec@5 16.406 (15.675)
Epoch: [6][6510/7045]	Time 0.392 (0.248)	Data 0.340 (0.185)	Loss 4.9429 (5.0232)	Prec@1 5.469 (4.534)	Prec@5 19.141 (15.675)
Epoch: [6][6520/7045]	Time 0.411 (0.248)	Data 0.359 (0.185)	Loss 5.0570 (5.0232)	Prec@1 2.344 (4.534)	Prec@5 12.891 (15.674)
Epoch: [6][6530/7045]	Time 0.223 (0.248)	Data 0.165 (0.185)	Loss 5.0511 (5.0232)	Prec@1 4.297 (4.534)	Prec@5 16.797 (15.673)
Epoch: [6][6540/7045]	Time 0.475 (0.248)	Data 0.425 (0.185)	Loss 5.0249 (5.0233)	Prec@1 3.906 (4.533)	Prec@5 12.500 (15.672)
Epoch: [6][6550/7045]	Time 0.135 (0.248)	Data 0.084 (0.185)	Loss 5.0885 (5.0233)	Prec@1 3.516 (4.533)	Prec@5 13.672 (15.670)
Epoch: [6][6560/7045]	Time 0.496 (0.248)	Data 0.444 (0.185)	Loss 5.1053 (5.0234)	Prec@1 4.688 (4.533)	Prec@5 14.062 (15.668)
Epoch: [6][6570/7045]	Time 0.110 (0.248)	Data 0.057 (0.185)	Loss 4.9849 (5.0234)	Prec@1 5.078 (4.532)	Prec@5 14.453 (15.667)
Epoch: [6][6580/7045]	Time 0.762 (0.248)	Data 0.712 (0.185)	Loss 5.0668 (5.0234)	Prec@1 3.906 (4.532)	Prec@5 16.797 (15.668)
Epoch: [6][6590/7045]	Time 0.102 (0.248)	Data 0.047 (0.185)	Loss 5.0179 (5.0234)	Prec@1 6.250 (4.533)	Prec@5 15.625 (15.667)
Epoch: [6][6600/7045]	Time 0.652 (0.248)	Data 0.601 (0.185)	Loss 5.0562 (5.0234)	Prec@1 5.469 (4.533)	Prec@5 14.844 (15.666)
Epoch: [6][6610/7045]	Time 0.132 (0.248)	Data 0.071 (0.185)	Loss 4.9460 (5.0234)	Prec@1 5.859 (4.533)	Prec@5 14.453 (15.668)
Epoch: [6][6620/7045]	Time 0.491 (0.248)	Data 0.438 (0.185)	Loss 4.9138 (5.0235)	Prec@1 4.297 (4.533)	Prec@5 16.016 (15.668)
Epoch: [6][6630/7045]	Time 0.315 (0.248)	Data 0.264 (0.185)	Loss 5.0383 (5.0235)	Prec@1 4.297 (4.533)	Prec@5 15.625 (15.668)
Epoch: [6][6640/7045]	Time 0.349 (0.248)	Data 0.297 (0.185)	Loss 4.9173 (5.0234)	Prec@1 7.422 (4.534)	Prec@5 16.797 (15.669)
Epoch: [6][6650/7045]	Time 0.388 (0.248)	Data 0.335 (0.185)	Loss 5.0922 (5.0234)	Prec@1 3.516 (4.534)	Prec@5 11.719 (15.669)
Epoch: [6][6660/7045]	Time 0.358 (0.248)	Data 0.307 (0.185)	Loss 5.0465 (5.0233)	Prec@1 4.297 (4.534)	Prec@5 16.797 (15.669)
Epoch: [6][6670/7045]	Time 0.448 (0.248)	Data 0.397 (0.185)	Loss 5.0291 (5.0233)	Prec@1 4.297 (4.534)	Prec@5 16.016 (15.670)
Epoch: [6][6680/7045]	Time 0.131 (0.248)	Data 0.080 (0.185)	Loss 4.9928 (5.0233)	Prec@1 4.688 (4.535)	Prec@5 14.844 (15.670)
Epoch: [6][6690/7045]	Time 0.194 (0.248)	Data 0.143 (0.185)	Loss 4.8879 (5.0233)	Prec@1 5.859 (4.536)	Prec@5 19.922 (15.671)
Epoch: [6][6700/7045]	Time 0.108 (0.248)	Data 0.056 (0.185)	Loss 4.9713 (5.0233)	Prec@1 5.078 (4.536)	Prec@5 16.016 (15.671)
Epoch: [6][6710/7045]	Time 0.104 (0.248)	Data 0.052 (0.185)	Loss 5.0337 (5.0233)	Prec@1 3.125 (4.535)	Prec@5 14.453 (15.670)
Epoch: [6][6720/7045]	Time 0.276 (0.248)	Data 0.225 (0.185)	Loss 4.9646 (5.0233)	Prec@1 2.734 (4.535)	Prec@5 18.359 (15.671)
Epoch: [6][6730/7045]	Time 0.156 (0.248)	Data 0.106 (0.185)	Loss 4.8139 (5.0232)	Prec@1 6.250 (4.537)	Prec@5 22.266 (15.672)
Epoch: [6][6740/7045]	Time 0.313 (0.248)	Data 0.261 (0.185)	Loss 4.9487 (5.0231)	Prec@1 3.125 (4.537)	Prec@5 16.406 (15.674)
Epoch: [6][6750/7045]	Time 0.218 (0.248)	Data 0.166 (0.185)	Loss 5.1883 (5.0232)	Prec@1 2.344 (4.536)	Prec@5 12.891 (15.673)
Epoch: [6][6760/7045]	Time 0.387 (0.248)	Data 0.329 (0.185)	Loss 5.0500 (5.0231)	Prec@1 3.125 (4.536)	Prec@5 15.625 (15.673)
Epoch: [6][6770/7045]	Time 0.157 (0.248)	Data 0.106 (0.185)	Loss 4.9040 (5.0231)	Prec@1 3.516 (4.536)	Prec@5 17.969 (15.674)
Epoch: [6][6780/7045]	Time 0.363 (0.248)	Data 0.312 (0.185)	Loss 4.9730 (5.0230)	Prec@1 4.297 (4.536)	Prec@5 18.750 (15.675)
Epoch: [6][6790/7045]	Time 0.102 (0.248)	Data 0.007 (0.185)	Loss 4.9088 (5.0229)	Prec@1 4.688 (4.537)	Prec@5 18.750 (15.678)
Epoch: [6][6800/7045]	Time 0.305 (0.248)	Data 0.254 (0.185)	Loss 5.0865 (5.0229)	Prec@1 5.078 (4.538)	Prec@5 17.578 (15.680)
Epoch: [6][6810/7045]	Time 0.106 (0.248)	Data 0.054 (0.185)	Loss 4.9506 (5.0229)	Prec@1 3.516 (4.537)	Prec@5 14.844 (15.680)
Epoch: [6][6820/7045]	Time 0.108 (0.248)	Data 0.056 (0.185)	Loss 5.0461 (5.0228)	Prec@1 1.562 (4.537)	Prec@5 14.453 (15.680)
Epoch: [6][6830/7045]	Time 0.102 (0.248)	Data 0.046 (0.185)	Loss 4.9825 (5.0227)	Prec@1 6.641 (4.538)	Prec@5 17.578 (15.680)
Epoch: [6][6840/7045]	Time 0.224 (0.248)	Data 0.166 (0.185)	Loss 4.8470 (5.0227)	Prec@1 9.766 (4.540)	Prec@5 22.266 (15.684)
Epoch: [6][6850/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 5.1142 (5.0228)	Prec@1 1.953 (4.539)	Prec@5 11.719 (15.682)
Epoch: [6][6860/7045]	Time 0.248 (0.248)	Data 0.190 (0.185)	Loss 5.1668 (5.0229)	Prec@1 5.469 (4.539)	Prec@5 12.109 (15.680)
Epoch: [6][6870/7045]	Time 0.102 (0.247)	Data 0.004 (0.185)	Loss 5.0679 (5.0229)	Prec@1 6.641 (4.539)	Prec@5 16.406 (15.679)
Epoch: [6][6880/7045]	Time 0.195 (0.248)	Data 0.143 (0.185)	Loss 5.0834 (5.0230)	Prec@1 4.688 (4.539)	Prec@5 17.578 (15.679)
Epoch: [6][6890/7045]	Time 0.187 (0.247)	Data 0.135 (0.185)	Loss 5.0371 (5.0231)	Prec@1 3.906 (4.539)	Prec@5 16.406 (15.678)
Epoch: [6][6900/7045]	Time 0.223 (0.247)	Data 0.166 (0.185)	Loss 5.0496 (5.0231)	Prec@1 1.562 (4.538)	Prec@5 14.844 (15.679)
Epoch: [6][6910/7045]	Time 0.484 (0.247)	Data 0.433 (0.185)	Loss 5.0146 (5.0231)	Prec@1 4.688 (4.538)	Prec@5 15.625 (15.679)
Epoch: [6][6920/7045]	Time 0.129 (0.247)	Data 0.078 (0.185)	Loss 5.1347 (5.0230)	Prec@1 5.078 (4.538)	Prec@5 13.281 (15.679)
Epoch: [6][6930/7045]	Time 0.708 (0.248)	Data 0.657 (0.185)	Loss 5.1421 (5.0230)	Prec@1 2.734 (4.538)	Prec@5 13.281 (15.681)
Epoch: [6][6940/7045]	Time 0.102 (0.247)	Data 0.001 (0.185)	Loss 4.9244 (5.0229)	Prec@1 5.859 (4.539)	Prec@5 18.750 (15.682)
Epoch: [6][6950/7045]	Time 0.523 (0.247)	Data 0.473 (0.185)	Loss 5.0198 (5.0229)	Prec@1 5.859 (4.540)	Prec@5 14.844 (15.682)
Epoch: [6][6960/7045]	Time 0.253 (0.247)	Data 0.202 (0.185)	Loss 5.0888 (5.0229)	Prec@1 5.078 (4.540)	Prec@5 14.844 (15.682)
Epoch: [6][6970/7045]	Time 0.564 (0.247)	Data 0.503 (0.185)	Loss 5.0917 (5.0230)	Prec@1 3.516 (4.540)	Prec@5 14.844 (15.682)
Epoch: [6][6980/7045]	Time 0.102 (0.247)	Data 0.002 (0.185)	Loss 5.0311 (5.0229)	Prec@1 5.078 (4.541)	Prec@5 17.188 (15.683)
Epoch: [6][6990/7045]	Time 0.420 (0.247)	Data 0.368 (0.185)	Loss 4.9154 (5.0228)	Prec@1 4.688 (4.542)	Prec@5 17.969 (15.685)
Epoch: [6][7000/7045]	Time 0.119 (0.247)	Data 0.057 (0.185)	Loss 5.0497 (5.0228)	Prec@1 3.125 (4.542)	Prec@5 19.141 (15.686)
Epoch: [6][7010/7045]	Time 0.260 (0.247)	Data 0.210 (0.185)	Loss 5.0410 (5.0228)	Prec@1 2.344 (4.541)	Prec@5 16.016 (15.687)
Epoch: [6][7020/7045]	Time 0.102 (0.247)	Data 0.002 (0.185)	Loss 4.9532 (5.0228)	Prec@1 5.469 (4.540)	Prec@5 16.016 (15.686)
Epoch: [6][7030/7045]	Time 0.136 (0.247)	Data 0.084 (0.185)	Loss 4.8925 (5.0227)	Prec@1 3.906 (4.539)	Prec@5 15.234 (15.685)
Epoch: [6][7040/7045]	Time 0.101 (0.247)	Data 0.020 (0.185)	Loss 4.9635 (5.0228)	Prec@1 6.641 (4.540)	Prec@5 18.750 (15.685)
Test: [0/143]	Time 1.284 (1.284)	Loss 4.9483 (4.9483)	Prec@1 9.375 (9.375)	Prec@5 20.703 (20.703)
Test: [10/143]	Time 0.055 (0.271)	Loss 4.8311 (5.0548)	Prec@1 4.297 (3.480)	Prec@5 17.969 (14.631)
Test: [20/143]	Time 0.256 (0.239)	Loss 5.0557 (4.9765)	Prec@1 1.172 (4.111)	Prec@5 7.812 (16.369)
Test: [30/143]	Time 0.241 (0.219)	Loss 4.9138 (4.9628)	Prec@1 2.344 (4.461)	Prec@5 18.359 (16.293)
Test: [40/143]	Time 0.053 (0.209)	Loss 5.1388 (4.9282)	Prec@1 0.391 (5.421)	Prec@5 1.562 (16.892)
Test: [50/143]	Time 0.390 (0.204)	Loss 4.6349 (4.9401)	Prec@1 10.547 (4.833)	Prec@5 26.172 (16.100)
Test: [60/143]	Time 0.060 (0.197)	Loss 5.0461 (4.9198)	Prec@1 3.516 (5.065)	Prec@5 13.281 (16.797)
Test: [70/143]	Time 0.407 (0.197)	Loss 5.0444 (4.9103)	Prec@1 6.641 (5.293)	Prec@5 16.797 (17.424)
Test: [80/143]	Time 0.061 (0.192)	Loss 4.9418 (4.9210)	Prec@1 7.422 (5.199)	Prec@5 18.359 (17.260)
Test: [90/143]	Time 0.172 (0.192)	Loss 5.2777 (4.9055)	Prec@1 0.391 (5.439)	Prec@5 7.422 (17.960)
Test: [100/143]	Time 0.148 (0.191)	Loss 4.0179 (4.8906)	Prec@1 17.578 (5.724)	Prec@5 52.734 (18.665)
Test: [110/143]	Time 0.058 (0.189)	Loss 4.8942 (4.8900)	Prec@1 7.031 (5.764)	Prec@5 23.438 (18.841)
Test: [120/143]	Time 0.101 (0.189)	Loss 4.7798 (4.8873)	Prec@1 4.297 (5.811)	Prec@5 25.000 (18.921)
Test: [130/143]	Time 0.132 (0.188)	Loss 4.8783 (4.8816)	Prec@1 4.297 (5.833)	Prec@5 21.484 (19.072)
Test: [140/143]	Time 0.097 (0.188)	Loss 5.1517 (4.8907)	Prec@1 2.734 (5.773)	Prec@5 8.984 (18.805)
 * Prec@1 5.797 Prec@5 18.838
Epoch: [7][0/7045]	Time 2.532 (2.532)	Data 2.474 (2.474)	Loss 5.0216 (5.0216)	Prec@1 6.250 (6.250)	Prec@5 15.625 (15.625)
Epoch: [7][10/7045]	Time 0.101 (0.422)	Data 0.007 (0.346)	Loss 4.9738 (5.0197)	Prec@1 6.250 (4.830)	Prec@5 17.969 (15.376)
Epoch: [7][20/7045]	Time 0.100 (0.351)	Data 0.001 (0.283)	Loss 5.0760 (5.0244)	Prec@1 5.078 (4.743)	Prec@5 16.016 (15.327)
Epoch: [7][30/7045]	Time 0.677 (0.328)	Data 0.626 (0.261)	Loss 4.9535 (5.0075)	Prec@1 4.297 (4.851)	Prec@5 17.188 (15.675)
Epoch: [7][40/7045]	Time 0.148 (0.301)	Data 0.096 (0.236)	Loss 5.0576 (5.0042)	Prec@1 3.516 (4.802)	Prec@5 14.844 (15.730)
Epoch: [7][50/7045]	Time 0.159 (0.296)	Data 0.108 (0.231)	Loss 5.0283 (4.9971)	Prec@1 5.469 (4.887)	Prec@5 14.062 (15.901)
Epoch: [7][60/7045]	Time 0.193 (0.287)	Data 0.142 (0.223)	Loss 5.1237 (5.0133)	Prec@1 2.344 (4.796)	Prec@5 11.719 (15.721)
Epoch: [7][70/7045]	Time 0.234 (0.283)	Data 0.182 (0.220)	Loss 4.9698 (5.0207)	Prec@1 4.688 (4.732)	Prec@5 16.406 (15.708)
Epoch: [7][80/7045]	Time 0.265 (0.282)	Data 0.213 (0.221)	Loss 5.0099 (5.0248)	Prec@1 2.734 (4.659)	Prec@5 16.016 (15.562)
Epoch: [7][90/7045]	Time 0.103 (0.278)	Data 0.001 (0.215)	Loss 4.9878 (5.0281)	Prec@1 5.859 (4.589)	Prec@5 17.578 (15.548)
Epoch: [7][100/7045]	Time 0.269 (0.278)	Data 0.217 (0.215)	Loss 5.1081 (5.0265)	Prec@1 4.297 (4.629)	Prec@5 16.406 (15.532)
Epoch: [7][110/7045]	Time 0.101 (0.274)	Data 0.011 (0.211)	Loss 5.1238 (5.0230)	Prec@1 2.734 (4.610)	Prec@5 10.938 (15.625)
Epoch: [7][120/7045]	Time 0.102 (0.271)	Data 0.045 (0.209)	Loss 4.9117 (5.0218)	Prec@1 3.125 (4.636)	Prec@5 18.359 (15.770)
Epoch: [7][130/7045]	Time 0.191 (0.271)	Data 0.134 (0.209)	Loss 5.1033 (5.0224)	Prec@1 3.516 (4.646)	Prec@5 12.500 (15.703)
Epoch: [7][140/7045]	Time 0.101 (0.269)	Data 0.001 (0.206)	Loss 5.0350 (5.0220)	Prec@1 4.297 (4.649)	Prec@5 13.672 (15.725)
Epoch: [7][150/7045]	Time 0.287 (0.269)	Data 0.235 (0.207)	Loss 4.9715 (5.0195)	Prec@1 6.641 (4.651)	Prec@5 16.797 (15.734)
Epoch: [7][160/7045]	Time 0.684 (0.270)	Data 0.623 (0.208)	Loss 4.8954 (5.0190)	Prec@1 5.469 (4.639)	Prec@5 16.406 (15.768)
Epoch: [7][170/7045]	Time 0.109 (0.267)	Data 0.001 (0.204)	Loss 4.9574 (5.0179)	Prec@1 3.516 (4.653)	Prec@5 17.188 (15.783)
Epoch: [7][180/7045]	Time 0.237 (0.267)	Data 0.188 (0.205)	Loss 5.0465 (5.0181)	Prec@1 3.906 (4.614)	Prec@5 13.281 (15.724)
Epoch: [7][190/7045]	Time 0.489 (0.267)	Data 0.436 (0.205)	Loss 4.9620 (5.0177)	Prec@1 7.031 (4.638)	Prec@5 19.141 (15.735)
Epoch: [7][200/7045]	Time 0.211 (0.266)	Data 0.159 (0.204)	Loss 4.9624 (5.0157)	Prec@1 6.641 (4.672)	Prec@5 15.625 (15.788)
Epoch: [7][210/7045]	Time 0.625 (0.267)	Data 0.571 (0.205)	Loss 5.2512 (5.0177)	Prec@1 3.125 (4.654)	Prec@5 10.938 (15.766)
Epoch: [7][220/7045]	Time 0.106 (0.264)	Data 0.053 (0.202)	Loss 4.9167 (5.0214)	Prec@1 4.297 (4.611)	Prec@5 20.312 (15.708)
Epoch: [7][230/7045]	Time 0.613 (0.265)	Data 0.561 (0.203)	Loss 5.1811 (5.0238)	Prec@1 4.297 (4.574)	Prec@5 9.766 (15.642)
Epoch: [7][240/7045]	Time 0.180 (0.263)	Data 0.121 (0.201)	Loss 5.0575 (5.0258)	Prec@1 4.688 (4.555)	Prec@5 17.969 (15.584)
Epoch: [7][250/7045]	Time 0.397 (0.263)	Data 0.346 (0.200)	Loss 5.1493 (5.0271)	Prec@1 5.469 (4.543)	Prec@5 12.891 (15.557)
Epoch: [7][260/7045]	Time 0.388 (0.262)	Data 0.333 (0.200)	Loss 5.0406 (5.0273)	Prec@1 5.469 (4.539)	Prec@5 17.578 (15.570)
Epoch: [7][270/7045]	Time 0.363 (0.261)	Data 0.305 (0.199)	Loss 4.9472 (5.0251)	Prec@1 4.688 (4.564)	Prec@5 17.188 (15.647)
Epoch: [7][280/7045]	Time 0.293 (0.260)	Data 0.242 (0.198)	Loss 5.1080 (5.0251)	Prec@1 6.250 (4.557)	Prec@5 14.844 (15.635)
Epoch: [7][290/7045]	Time 0.138 (0.260)	Data 0.086 (0.198)	Loss 4.9271 (5.0260)	Prec@1 5.078 (4.545)	Prec@5 16.797 (15.604)
Epoch: [7][300/7045]	Time 0.491 (0.260)	Data 0.439 (0.198)	Loss 5.0266 (5.0250)	Prec@1 1.953 (4.543)	Prec@5 14.844 (15.617)
Epoch: [7][310/7045]	Time 0.107 (0.259)	Data 0.001 (0.197)	Loss 5.1074 (5.0275)	Prec@1 3.906 (4.532)	Prec@5 13.281 (15.557)
Epoch: [7][320/7045]	Time 0.551 (0.260)	Data 0.499 (0.198)	Loss 5.0827 (5.0295)	Prec@1 4.688 (4.538)	Prec@5 14.062 (15.545)
Epoch: [7][330/7045]	Time 0.101 (0.259)	Data 0.001 (0.197)	Loss 4.8624 (5.0303)	Prec@1 6.641 (4.540)	Prec@5 19.531 (15.533)
Epoch: [7][340/7045]	Time 0.276 (0.259)	Data 0.224 (0.197)	Loss 5.0572 (5.0298)	Prec@1 3.906 (4.543)	Prec@5 13.281 (15.509)
Epoch: [7][350/7045]	Time 0.102 (0.258)	Data 0.001 (0.196)	Loss 5.0776 (5.0302)	Prec@1 3.516 (4.541)	Prec@5 11.328 (15.509)
Epoch: [7][360/7045]	Time 0.188 (0.258)	Data 0.136 (0.196)	Loss 4.8721 (5.0295)	Prec@1 5.469 (4.561)	Prec@5 18.359 (15.535)
Epoch: [7][370/7045]	Time 0.167 (0.257)	Data 0.116 (0.195)	Loss 5.0196 (5.0293)	Prec@1 4.297 (4.560)	Prec@5 15.234 (15.541)
Epoch: [7][380/7045]	Time 0.109 (0.258)	Data 0.001 (0.196)	Loss 5.0686 (5.0288)	Prec@1 5.859 (4.580)	Prec@5 15.234 (15.549)
Epoch: [7][390/7045]	Time 0.101 (0.257)	Data 0.007 (0.194)	Loss 5.0915 (5.0276)	Prec@1 3.516 (4.604)	Prec@5 11.328 (15.585)
Epoch: [7][400/7045]	Time 0.102 (0.257)	Data 0.019 (0.194)	Loss 5.0460 (5.0284)	Prec@1 3.125 (4.590)	Prec@5 14.062 (15.566)
Epoch: [7][410/7045]	Time 0.102 (0.257)	Data 0.001 (0.194)	Loss 5.1953 (5.0296)	Prec@1 2.734 (4.585)	Prec@5 15.625 (15.577)
Epoch: [7][420/7045]	Time 0.197 (0.257)	Data 0.145 (0.194)	Loss 5.1302 (5.0311)	Prec@1 2.344 (4.569)	Prec@5 12.109 (15.549)
Epoch: [7][430/7045]	Time 0.243 (0.257)	Data 0.186 (0.194)	Loss 5.0247 (5.0300)	Prec@1 4.688 (4.590)	Prec@5 16.016 (15.588)
Epoch: [7][440/7045]	Time 0.488 (0.257)	Data 0.438 (0.194)	Loss 5.0227 (5.0300)	Prec@1 7.031 (4.608)	Prec@5 17.188 (15.618)
Epoch: [7][450/7045]	Time 0.102 (0.256)	Data 0.047 (0.194)	Loss 5.0203 (5.0288)	Prec@1 3.906 (4.620)	Prec@5 16.016 (15.639)
Epoch: [7][460/7045]	Time 0.493 (0.257)	Data 0.442 (0.194)	Loss 5.0064 (5.0278)	Prec@1 4.688 (4.611)	Prec@5 14.062 (15.632)
Epoch: [7][470/7045]	Time 0.127 (0.256)	Data 0.069 (0.194)	Loss 4.8961 (5.0271)	Prec@1 5.859 (4.617)	Prec@5 16.406 (15.632)
Epoch: [7][480/7045]	Time 0.627 (0.256)	Data 0.575 (0.194)	Loss 5.1279 (5.0277)	Prec@1 5.078 (4.610)	Prec@5 14.453 (15.614)
Epoch: [7][490/7045]	Time 0.184 (0.256)	Data 0.132 (0.193)	Loss 4.9448 (5.0267)	Prec@1 4.297 (4.595)	Prec@5 15.234 (15.606)
Epoch: [7][500/7045]	Time 0.573 (0.256)	Data 0.522 (0.194)	Loss 5.0561 (5.0259)	Prec@1 4.297 (4.595)	Prec@5 10.938 (15.605)
Epoch: [7][510/7045]	Time 0.423 (0.256)	Data 0.371 (0.193)	Loss 5.0579 (5.0260)	Prec@1 2.734 (4.594)	Prec@5 12.109 (15.608)
Epoch: [7][520/7045]	Time 0.327 (0.256)	Data 0.276 (0.193)	Loss 5.1725 (5.0274)	Prec@1 1.953 (4.592)	Prec@5 12.500 (15.603)
Epoch: [7][530/7045]	Time 0.551 (0.256)	Data 0.499 (0.193)	Loss 5.0532 (5.0264)	Prec@1 4.688 (4.600)	Prec@5 15.234 (15.601)
Epoch: [7][540/7045]	Time 0.332 (0.255)	Data 0.273 (0.192)	Loss 4.9711 (5.0266)	Prec@1 4.297 (4.595)	Prec@5 19.141 (15.607)
Epoch: [7][550/7045]	Time 0.396 (0.255)	Data 0.345 (0.192)	Loss 5.0974 (5.0288)	Prec@1 3.516 (4.586)	Prec@5 10.938 (15.558)
Epoch: [7][560/7045]	Time 0.102 (0.255)	Data 0.008 (0.192)	Loss 5.0302 (5.0287)	Prec@1 3.125 (4.584)	Prec@5 14.062 (15.543)
Epoch: [7][570/7045]	Time 0.466 (0.255)	Data 0.416 (0.192)	Loss 4.9800 (5.0286)	Prec@1 2.344 (4.571)	Prec@5 16.016 (15.544)
Epoch: [7][580/7045]	Time 0.341 (0.255)	Data 0.289 (0.192)	Loss 4.8887 (5.0280)	Prec@1 3.516 (4.566)	Prec@5 14.844 (15.548)
Epoch: [7][590/7045]	Time 0.446 (0.255)	Data 0.390 (0.192)	Loss 5.0292 (5.0278)	Prec@1 5.078 (4.565)	Prec@5 17.188 (15.550)
Epoch: [7][600/7045]	Time 0.189 (0.255)	Data 0.130 (0.192)	Loss 5.0658 (5.0285)	Prec@1 5.469 (4.561)	Prec@5 17.188 (15.551)
Epoch: [7][610/7045]	Time 0.219 (0.254)	Data 0.167 (0.192)	Loss 5.0209 (5.0281)	Prec@1 5.469 (4.554)	Prec@5 16.016 (15.574)
Epoch: [7][620/7045]	Time 0.116 (0.254)	Data 0.065 (0.192)	Loss 5.0000 (5.0282)	Prec@1 4.297 (4.558)	Prec@5 13.672 (15.563)
Epoch: [7][630/7045]	Time 0.230 (0.255)	Data 0.180 (0.192)	Loss 4.8515 (5.0279)	Prec@1 5.469 (4.555)	Prec@5 19.531 (15.571)
Epoch: [7][640/7045]	Time 0.104 (0.254)	Data 0.001 (0.191)	Loss 5.0293 (5.0277)	Prec@1 3.125 (4.563)	Prec@5 14.453 (15.577)
Epoch: [7][650/7045]	Time 0.198 (0.255)	Data 0.146 (0.192)	Loss 5.0661 (5.0271)	Prec@1 3.906 (4.563)	Prec@5 17.578 (15.607)
Epoch: [7][660/7045]	Time 0.100 (0.254)	Data 0.003 (0.191)	Loss 5.0564 (5.0258)	Prec@1 3.125 (4.569)	Prec@5 16.797 (15.649)
Epoch: [7][670/7045]	Time 0.112 (0.255)	Data 0.001 (0.191)	Loss 5.0489 (5.0252)	Prec@1 3.516 (4.570)	Prec@5 14.844 (15.639)
Epoch: [7][680/7045]	Time 0.115 (0.254)	Data 0.065 (0.190)	Loss 5.0558 (5.0253)	Prec@1 3.906 (4.573)	Prec@5 14.844 (15.630)
Epoch: [7][690/7045]	Time 0.107 (0.254)	Data 0.001 (0.190)	Loss 4.9814 (5.0251)	Prec@1 3.125 (4.572)	Prec@5 14.844 (15.656)
Epoch: [7][700/7045]	Time 0.102 (0.254)	Data 0.012 (0.190)	Loss 5.0524 (5.0247)	Prec@1 5.078 (4.570)	Prec@5 14.453 (15.652)
Epoch: [7][710/7045]	Time 0.234 (0.254)	Data 0.182 (0.190)	Loss 5.0099 (5.0249)	Prec@1 4.688 (4.561)	Prec@5 15.234 (15.648)
Epoch: [7][720/7045]	Time 0.194 (0.254)	Data 0.143 (0.190)	Loss 4.9767 (5.0242)	Prec@1 5.078 (4.559)	Prec@5 17.188 (15.666)
Epoch: [7][730/7045]	Time 0.306 (0.254)	Data 0.245 (0.190)	Loss 5.0207 (5.0243)	Prec@1 3.906 (4.560)	Prec@5 11.719 (15.661)
Epoch: [7][740/7045]	Time 0.277 (0.254)	Data 0.227 (0.190)	Loss 5.1147 (5.0240)	Prec@1 3.906 (4.568)	Prec@5 15.234 (15.671)
Epoch: [7][750/7045]	Time 0.224 (0.253)	Data 0.174 (0.190)	Loss 5.0493 (5.0244)	Prec@1 5.469 (4.572)	Prec@5 16.016 (15.679)
Epoch: [7][760/7045]	Time 0.337 (0.254)	Data 0.281 (0.190)	Loss 5.0525 (5.0238)	Prec@1 3.906 (4.571)	Prec@5 14.453 (15.678)
Epoch: [7][770/7045]	Time 0.102 (0.253)	Data 0.051 (0.190)	Loss 5.1308 (5.0234)	Prec@1 4.297 (4.568)	Prec@5 13.281 (15.674)
Epoch: [7][780/7045]	Time 0.307 (0.253)	Data 0.255 (0.190)	Loss 5.2447 (5.0239)	Prec@1 3.516 (4.555)	Prec@5 13.281 (15.661)
Epoch: [7][790/7045]	Time 0.191 (0.253)	Data 0.140 (0.190)	Loss 5.0901 (5.0243)	Prec@1 5.469 (4.555)	Prec@5 14.844 (15.637)
Epoch: [7][800/7045]	Time 0.101 (0.253)	Data 0.045 (0.190)	Loss 5.0787 (5.0252)	Prec@1 3.125 (4.547)	Prec@5 14.453 (15.618)
Epoch: [7][810/7045]	Time 0.259 (0.253)	Data 0.209 (0.190)	Loss 5.0595 (5.0253)	Prec@1 4.297 (4.545)	Prec@5 16.016 (15.617)
Epoch: [7][820/7045]	Time 0.102 (0.253)	Data 0.021 (0.190)	Loss 5.1069 (5.0254)	Prec@1 3.125 (4.543)	Prec@5 12.891 (15.613)
Epoch: [7][830/7045]	Time 0.197 (0.253)	Data 0.145 (0.190)	Loss 4.8788 (5.0249)	Prec@1 7.031 (4.548)	Prec@5 15.625 (15.624)
Epoch: [7][840/7045]	Time 0.102 (0.253)	Data 0.001 (0.190)	Loss 5.1256 (5.0253)	Prec@1 2.344 (4.551)	Prec@5 12.109 (15.635)
Epoch: [7][850/7045]	Time 0.343 (0.253)	Data 0.293 (0.189)	Loss 5.1510 (5.0253)	Prec@1 3.516 (4.550)	Prec@5 16.797 (15.636)
Epoch: [7][860/7045]	Time 0.108 (0.253)	Data 0.004 (0.189)	Loss 5.0385 (5.0254)	Prec@1 3.516 (4.552)	Prec@5 14.844 (15.632)
Epoch: [7][870/7045]	Time 0.193 (0.252)	Data 0.141 (0.189)	Loss 5.0636 (5.0250)	Prec@1 6.250 (4.557)	Prec@5 15.625 (15.630)
Epoch: [7][880/7045]	Time 0.229 (0.253)	Data 0.178 (0.190)	Loss 4.9329 (5.0245)	Prec@1 5.078 (4.563)	Prec@5 17.969 (15.635)
Epoch: [7][890/7045]	Time 0.272 (0.252)	Data 0.220 (0.189)	Loss 5.1203 (5.0240)	Prec@1 2.734 (4.563)	Prec@5 18.359 (15.652)
Epoch: [7][900/7045]	Time 0.100 (0.252)	Data 0.013 (0.189)	Loss 4.9075 (5.0232)	Prec@1 3.906 (4.562)	Prec@5 17.188 (15.658)
Epoch: [7][910/7045]	Time 0.442 (0.253)	Data 0.391 (0.190)	Loss 5.2572 (5.0235)	Prec@1 3.906 (4.564)	Prec@5 14.062 (15.659)
Epoch: [7][920/7045]	Time 0.176 (0.252)	Data 0.125 (0.190)	Loss 5.0233 (5.0242)	Prec@1 3.906 (4.556)	Prec@5 17.188 (15.646)
Epoch: [7][930/7045]	Time 0.281 (0.252)	Data 0.230 (0.190)	Loss 4.9766 (5.0240)	Prec@1 6.250 (4.556)	Prec@5 18.750 (15.644)
Epoch: [7][940/7045]	Time 0.101 (0.252)	Data 0.001 (0.189)	Loss 4.8503 (5.0236)	Prec@1 4.688 (4.557)	Prec@5 20.703 (15.655)
Epoch: [7][950/7045]	Time 0.319 (0.252)	Data 0.268 (0.189)	Loss 4.9204 (5.0241)	Prec@1 4.688 (4.557)	Prec@5 17.188 (15.648)
Epoch: [7][960/7045]	Time 0.102 (0.252)	Data 0.022 (0.189)	Loss 5.0600 (5.0240)	Prec@1 3.906 (4.555)	Prec@5 13.672 (15.655)
Epoch: [7][970/7045]	Time 0.410 (0.252)	Data 0.349 (0.189)	Loss 5.1893 (5.0248)	Prec@1 3.906 (4.553)	Prec@5 10.156 (15.646)
Epoch: [7][980/7045]	Time 0.099 (0.252)	Data 0.001 (0.189)	Loss 4.9667 (5.0250)	Prec@1 3.906 (4.548)	Prec@5 15.625 (15.637)
Epoch: [7][990/7045]	Time 0.262 (0.252)	Data 0.211 (0.189)	Loss 5.0917 (5.0250)	Prec@1 5.078 (4.549)	Prec@5 17.969 (15.643)
Epoch: [7][1000/7045]	Time 0.101 (0.252)	Data 0.001 (0.189)	Loss 5.0426 (5.0252)	Prec@1 2.344 (4.545)	Prec@5 14.844 (15.633)
Epoch: [7][1010/7045]	Time 0.190 (0.252)	Data 0.138 (0.189)	Loss 5.0322 (5.0257)	Prec@1 3.125 (4.539)	Prec@5 14.453 (15.633)
Epoch: [7][1020/7045]	Time 0.101 (0.251)	Data 0.012 (0.188)	Loss 4.9390 (5.0252)	Prec@1 3.906 (4.536)	Prec@5 13.281 (15.643)
Epoch: [7][1030/7045]	Time 0.185 (0.252)	Data 0.134 (0.189)	Loss 5.0895 (5.0248)	Prec@1 3.516 (4.537)	Prec@5 15.234 (15.641)
Epoch: [7][1040/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 4.7999 (5.0245)	Prec@1 8.203 (4.536)	Prec@5 16.016 (15.640)
Epoch: [7][1050/7045]	Time 0.289 (0.252)	Data 0.237 (0.189)	Loss 4.9997 (5.0246)	Prec@1 3.906 (4.533)	Prec@5 15.234 (15.634)
Epoch: [7][1060/7045]	Time 0.104 (0.251)	Data 0.001 (0.188)	Loss 4.9471 (5.0248)	Prec@1 4.688 (4.534)	Prec@5 15.234 (15.630)
Epoch: [7][1070/7045]	Time 0.353 (0.252)	Data 0.288 (0.188)	Loss 5.0800 (5.0245)	Prec@1 1.562 (4.529)	Prec@5 12.891 (15.624)
Epoch: [7][1080/7045]	Time 0.153 (0.251)	Data 0.102 (0.188)	Loss 5.0467 (5.0246)	Prec@1 3.906 (4.525)	Prec@5 13.672 (15.617)
Epoch: [7][1090/7045]	Time 0.293 (0.251)	Data 0.242 (0.188)	Loss 5.1215 (5.0245)	Prec@1 3.906 (4.525)	Prec@5 8.594 (15.617)
Epoch: [7][1100/7045]	Time 0.182 (0.251)	Data 0.131 (0.188)	Loss 5.1485 (5.0251)	Prec@1 2.734 (4.518)	Prec@5 12.109 (15.604)
Epoch: [7][1110/7045]	Time 0.364 (0.251)	Data 0.313 (0.188)	Loss 4.9865 (5.0251)	Prec@1 5.469 (4.516)	Prec@5 18.359 (15.595)
Epoch: [7][1120/7045]	Time 0.162 (0.251)	Data 0.110 (0.188)	Loss 5.1134 (5.0256)	Prec@1 5.078 (4.512)	Prec@5 15.625 (15.580)
Epoch: [7][1130/7045]	Time 0.445 (0.251)	Data 0.393 (0.188)	Loss 4.9960 (5.0257)	Prec@1 4.688 (4.509)	Prec@5 15.234 (15.579)
Epoch: [7][1140/7045]	Time 0.115 (0.251)	Data 0.055 (0.188)	Loss 5.1713 (5.0258)	Prec@1 2.734 (4.507)	Prec@5 12.500 (15.576)
Epoch: [7][1150/7045]	Time 0.348 (0.251)	Data 0.296 (0.188)	Loss 4.9243 (5.0257)	Prec@1 4.688 (4.509)	Prec@5 17.578 (15.585)
Epoch: [7][1160/7045]	Time 0.176 (0.251)	Data 0.125 (0.188)	Loss 5.0243 (5.0254)	Prec@1 4.297 (4.513)	Prec@5 13.672 (15.589)
Epoch: [7][1170/7045]	Time 0.632 (0.251)	Data 0.580 (0.188)	Loss 5.0729 (5.0250)	Prec@1 3.516 (4.519)	Prec@5 14.844 (15.604)
Epoch: [7][1180/7045]	Time 0.103 (0.251)	Data 0.009 (0.188)	Loss 5.0999 (5.0249)	Prec@1 3.125 (4.518)	Prec@5 13.672 (15.606)
Epoch: [7][1190/7045]	Time 0.602 (0.251)	Data 0.551 (0.188)	Loss 5.0944 (5.0253)	Prec@1 3.125 (4.517)	Prec@5 12.891 (15.605)
Epoch: [7][1200/7045]	Time 0.101 (0.251)	Data 0.001 (0.188)	Loss 4.9890 (5.0260)	Prec@1 6.250 (4.518)	Prec@5 17.969 (15.598)
Epoch: [7][1210/7045]	Time 0.580 (0.251)	Data 0.529 (0.188)	Loss 4.9374 (5.0264)	Prec@1 4.297 (4.516)	Prec@5 23.047 (15.596)
Epoch: [7][1220/7045]	Time 0.103 (0.251)	Data 0.001 (0.187)	Loss 4.9745 (5.0262)	Prec@1 3.125 (4.515)	Prec@5 15.625 (15.599)
Epoch: [7][1230/7045]	Time 0.525 (0.251)	Data 0.474 (0.188)	Loss 4.8807 (5.0260)	Prec@1 5.078 (4.515)	Prec@5 16.406 (15.602)
Epoch: [7][1240/7045]	Time 0.101 (0.251)	Data 0.004 (0.187)	Loss 4.9985 (5.0255)	Prec@1 3.516 (4.513)	Prec@5 15.234 (15.605)
Epoch: [7][1250/7045]	Time 0.372 (0.251)	Data 0.321 (0.187)	Loss 5.0888 (5.0252)	Prec@1 4.688 (4.511)	Prec@5 14.844 (15.610)
Epoch: [7][1260/7045]	Time 0.102 (0.251)	Data 0.017 (0.187)	Loss 5.1279 (5.0256)	Prec@1 3.125 (4.507)	Prec@5 11.328 (15.603)
Epoch: [7][1270/7045]	Time 0.293 (0.251)	Data 0.242 (0.187)	Loss 4.9993 (5.0256)	Prec@1 4.297 (4.503)	Prec@5 14.062 (15.599)
Epoch: [7][1280/7045]	Time 0.430 (0.251)	Data 0.380 (0.188)	Loss 5.0982 (5.0258)	Prec@1 3.906 (4.500)	Prec@5 14.062 (15.596)
Epoch: [7][1290/7045]	Time 0.112 (0.251)	Data 0.001 (0.187)	Loss 5.1118 (5.0258)	Prec@1 5.078 (4.499)	Prec@5 14.844 (15.597)
Epoch: [7][1300/7045]	Time 0.778 (0.251)	Data 0.726 (0.188)	Loss 5.0064 (5.0250)	Prec@1 5.078 (4.505)	Prec@5 15.625 (15.608)
Epoch: [7][1310/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 5.0275 (5.0249)	Prec@1 7.031 (4.511)	Prec@5 17.578 (15.617)
Epoch: [7][1320/7045]	Time 0.697 (0.251)	Data 0.644 (0.187)	Loss 4.9144 (5.0248)	Prec@1 3.906 (4.515)	Prec@5 16.406 (15.621)
Epoch: [7][1330/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 4.9125 (5.0249)	Prec@1 7.031 (4.516)	Prec@5 16.016 (15.624)
Epoch: [7][1340/7045]	Time 0.645 (0.251)	Data 0.584 (0.187)	Loss 5.0336 (5.0247)	Prec@1 1.953 (4.519)	Prec@5 12.891 (15.628)
Epoch: [7][1350/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 4.9525 (5.0246)	Prec@1 5.078 (4.523)	Prec@5 12.891 (15.629)
Epoch: [7][1360/7045]	Time 0.623 (0.251)	Data 0.571 (0.187)	Loss 5.0128 (5.0245)	Prec@1 4.688 (4.525)	Prec@5 16.016 (15.640)
Epoch: [7][1370/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 5.0492 (5.0249)	Prec@1 5.859 (4.521)	Prec@5 18.359 (15.632)
Epoch: [7][1380/7045]	Time 0.431 (0.251)	Data 0.370 (0.187)	Loss 5.0635 (5.0252)	Prec@1 3.906 (4.519)	Prec@5 14.844 (15.624)
Epoch: [7][1390/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 5.0850 (5.0256)	Prec@1 3.516 (4.518)	Prec@5 13.672 (15.620)
Epoch: [7][1400/7045]	Time 0.447 (0.251)	Data 0.397 (0.187)	Loss 5.1634 (5.0257)	Prec@1 3.906 (4.514)	Prec@5 9.766 (15.612)
Epoch: [7][1410/7045]	Time 0.118 (0.251)	Data 0.066 (0.186)	Loss 5.1659 (5.0256)	Prec@1 2.734 (4.512)	Prec@5 14.062 (15.615)
Epoch: [7][1420/7045]	Time 0.171 (0.251)	Data 0.119 (0.187)	Loss 4.9619 (5.0255)	Prec@1 6.641 (4.514)	Prec@5 16.016 (15.622)
Epoch: [7][1430/7045]	Time 0.101 (0.251)	Data 0.021 (0.186)	Loss 4.9979 (5.0255)	Prec@1 3.906 (4.510)	Prec@5 15.625 (15.615)
Epoch: [7][1440/7045]	Time 0.196 (0.251)	Data 0.145 (0.186)	Loss 5.0862 (5.0254)	Prec@1 3.125 (4.512)	Prec@5 13.672 (15.619)
Epoch: [7][1450/7045]	Time 0.236 (0.251)	Data 0.184 (0.187)	Loss 4.8870 (5.0254)	Prec@1 6.250 (4.516)	Prec@5 19.141 (15.619)
Epoch: [7][1460/7045]	Time 0.178 (0.251)	Data 0.128 (0.187)	Loss 5.0702 (5.0254)	Prec@1 3.906 (4.513)	Prec@5 16.016 (15.618)
Epoch: [7][1470/7045]	Time 0.401 (0.251)	Data 0.350 (0.187)	Loss 5.0588 (5.0256)	Prec@1 4.297 (4.509)	Prec@5 15.625 (15.610)
Epoch: [7][1480/7045]	Time 0.183 (0.251)	Data 0.122 (0.187)	Loss 4.9923 (5.0256)	Prec@1 4.688 (4.513)	Prec@5 16.797 (15.609)
Epoch: [7][1490/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 4.9622 (5.0254)	Prec@1 5.078 (4.512)	Prec@5 14.844 (15.603)
Epoch: [7][1500/7045]	Time 0.117 (0.251)	Data 0.054 (0.187)	Loss 5.0564 (5.0254)	Prec@1 6.641 (4.515)	Prec@5 18.750 (15.604)
Epoch: [7][1510/7045]	Time 0.198 (0.251)	Data 0.145 (0.186)	Loss 4.9878 (5.0253)	Prec@1 2.734 (4.515)	Prec@5 15.625 (15.604)
Epoch: [7][1520/7045]	Time 0.101 (0.251)	Data 0.013 (0.187)	Loss 5.0615 (5.0248)	Prec@1 4.297 (4.513)	Prec@5 16.016 (15.607)
Epoch: [7][1530/7045]	Time 0.117 (0.251)	Data 0.065 (0.186)	Loss 5.0807 (5.0244)	Prec@1 3.516 (4.518)	Prec@5 12.891 (15.618)
Epoch: [7][1540/7045]	Time 0.291 (0.251)	Data 0.239 (0.187)	Loss 4.9826 (5.0243)	Prec@1 3.906 (4.516)	Prec@5 14.062 (15.616)
Epoch: [7][1550/7045]	Time 0.277 (0.251)	Data 0.226 (0.186)	Loss 4.9803 (5.0242)	Prec@1 6.641 (4.519)	Prec@5 18.750 (15.626)
Epoch: [7][1560/7045]	Time 0.102 (0.251)	Data 0.048 (0.187)	Loss 4.9547 (5.0238)	Prec@1 4.297 (4.523)	Prec@5 16.016 (15.633)
Epoch: [7][1570/7045]	Time 0.470 (0.251)	Data 0.420 (0.187)	Loss 4.9359 (5.0235)	Prec@1 5.859 (4.532)	Prec@5 19.141 (15.641)
Epoch: [7][1580/7045]	Time 0.206 (0.251)	Data 0.155 (0.186)	Loss 5.0510 (5.0234)	Prec@1 3.906 (4.530)	Prec@5 14.453 (15.644)
Epoch: [7][1590/7045]	Time 0.267 (0.251)	Data 0.216 (0.187)	Loss 4.9215 (5.0229)	Prec@1 5.859 (4.534)	Prec@5 17.578 (15.648)
Epoch: [7][1600/7045]	Time 0.103 (0.251)	Data 0.017 (0.187)	Loss 4.9000 (5.0226)	Prec@1 5.469 (4.534)	Prec@5 18.359 (15.655)
Epoch: [7][1610/7045]	Time 0.102 (0.251)	Data 0.007 (0.187)	Loss 5.0723 (5.0226)	Prec@1 2.344 (4.530)	Prec@5 10.938 (15.650)
Epoch: [7][1620/7045]	Time 0.121 (0.251)	Data 0.069 (0.187)	Loss 5.0282 (5.0228)	Prec@1 2.734 (4.529)	Prec@5 14.062 (15.647)
Epoch: [7][1630/7045]	Time 0.111 (0.251)	Data 0.006 (0.187)	Loss 5.1174 (5.0230)	Prec@1 5.078 (4.526)	Prec@5 12.500 (15.641)
Epoch: [7][1640/7045]	Time 0.101 (0.251)	Data 0.001 (0.186)	Loss 5.0303 (5.0230)	Prec@1 3.906 (4.527)	Prec@5 13.281 (15.640)
Epoch: [7][1650/7045]	Time 0.102 (0.251)	Data 0.006 (0.186)	Loss 4.9934 (5.0233)	Prec@1 5.078 (4.520)	Prec@5 19.141 (15.625)
Epoch: [7][1660/7045]	Time 0.154 (0.251)	Data 0.103 (0.186)	Loss 5.0073 (5.0234)	Prec@1 5.078 (4.522)	Prec@5 15.625 (15.625)
Epoch: [7][1670/7045]	Time 0.164 (0.251)	Data 0.112 (0.187)	Loss 5.0106 (5.0236)	Prec@1 6.250 (4.518)	Prec@5 16.406 (15.621)
Epoch: [7][1680/7045]	Time 0.424 (0.251)	Data 0.373 (0.186)	Loss 5.1070 (5.0239)	Prec@1 3.125 (4.518)	Prec@5 16.797 (15.616)
Epoch: [7][1690/7045]	Time 0.102 (0.251)	Data 0.021 (0.186)	Loss 5.1515 (5.0245)	Prec@1 4.688 (4.515)	Prec@5 14.062 (15.607)
Epoch: [7][1700/7045]	Time 0.402 (0.251)	Data 0.350 (0.187)	Loss 5.1117 (5.0249)	Prec@1 3.906 (4.513)	Prec@5 14.844 (15.602)
Epoch: [7][1710/7045]	Time 0.314 (0.251)	Data 0.263 (0.186)	Loss 5.0448 (5.0247)	Prec@1 5.469 (4.521)	Prec@5 16.016 (15.613)
Epoch: [7][1720/7045]	Time 0.315 (0.251)	Data 0.256 (0.186)	Loss 5.0395 (5.0247)	Prec@1 5.078 (4.527)	Prec@5 12.500 (15.618)
Epoch: [7][1730/7045]	Time 0.380 (0.251)	Data 0.328 (0.186)	Loss 5.2513 (5.0249)	Prec@1 3.516 (4.526)	Prec@5 13.281 (15.611)
Epoch: [7][1740/7045]	Time 0.362 (0.251)	Data 0.310 (0.187)	Loss 5.0377 (5.0249)	Prec@1 4.688 (4.522)	Prec@5 15.625 (15.614)
Epoch: [7][1750/7045]	Time 0.370 (0.251)	Data 0.319 (0.187)	Loss 5.0792 (5.0253)	Prec@1 5.078 (4.520)	Prec@5 15.625 (15.611)
Epoch: [7][1760/7045]	Time 0.207 (0.251)	Data 0.157 (0.187)	Loss 5.0483 (5.0255)	Prec@1 3.516 (4.518)	Prec@5 14.844 (15.608)
Epoch: [7][1770/7045]	Time 0.371 (0.251)	Data 0.319 (0.187)	Loss 5.1703 (5.0254)	Prec@1 3.125 (4.519)	Prec@5 10.156 (15.609)
Epoch: [7][1780/7045]	Time 0.365 (0.251)	Data 0.313 (0.187)	Loss 5.0770 (5.0253)	Prec@1 6.250 (4.523)	Prec@5 16.797 (15.608)
Epoch: [7][1790/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 4.9979 (5.0253)	Prec@1 4.688 (4.523)	Prec@5 17.188 (15.611)
Epoch: [7][1800/7045]	Time 0.307 (0.251)	Data 0.257 (0.187)	Loss 4.9948 (5.0254)	Prec@1 5.859 (4.524)	Prec@5 15.625 (15.608)
Epoch: [7][1810/7045]	Time 0.107 (0.251)	Data 0.054 (0.187)	Loss 5.0252 (5.0259)	Prec@1 3.516 (4.517)	Prec@5 14.062 (15.595)
Epoch: [7][1820/7045]	Time 0.250 (0.251)	Data 0.199 (0.187)	Loss 4.9305 (5.0258)	Prec@1 4.688 (4.516)	Prec@5 17.578 (15.599)
Epoch: [7][1830/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 4.8709 (5.0255)	Prec@1 5.859 (4.519)	Prec@5 17.578 (15.606)
Epoch: [7][1840/7045]	Time 0.115 (0.251)	Data 0.054 (0.187)	Loss 5.0416 (5.0252)	Prec@1 4.297 (4.523)	Prec@5 16.406 (15.612)
Epoch: [7][1850/7045]	Time 0.332 (0.251)	Data 0.280 (0.187)	Loss 4.9853 (5.0250)	Prec@1 4.688 (4.525)	Prec@5 16.406 (15.614)
Epoch: [7][1860/7045]	Time 0.214 (0.251)	Data 0.154 (0.187)	Loss 4.9287 (5.0248)	Prec@1 6.250 (4.524)	Prec@5 19.531 (15.613)
Epoch: [7][1870/7045]	Time 0.502 (0.251)	Data 0.451 (0.187)	Loss 5.0114 (5.0248)	Prec@1 3.516 (4.525)	Prec@5 15.625 (15.610)
Epoch: [7][1880/7045]	Time 0.311 (0.251)	Data 0.259 (0.187)	Loss 5.1075 (5.0250)	Prec@1 6.250 (4.526)	Prec@5 13.281 (15.608)
Epoch: [7][1890/7045]	Time 0.468 (0.251)	Data 0.410 (0.187)	Loss 5.1045 (5.0252)	Prec@1 5.078 (4.529)	Prec@5 15.234 (15.607)
Epoch: [7][1900/7045]	Time 0.166 (0.251)	Data 0.116 (0.187)	Loss 5.0316 (5.0252)	Prec@1 2.734 (4.528)	Prec@5 14.453 (15.606)
Epoch: [7][1910/7045]	Time 0.370 (0.251)	Data 0.318 (0.187)	Loss 5.0108 (5.0253)	Prec@1 5.078 (4.523)	Prec@5 15.625 (15.596)
Epoch: [7][1920/7045]	Time 0.111 (0.251)	Data 0.015 (0.187)	Loss 5.1153 (5.0259)	Prec@1 4.297 (4.518)	Prec@5 13.672 (15.585)
Epoch: [7][1930/7045]	Time 0.197 (0.250)	Data 0.146 (0.187)	Loss 5.0217 (5.0260)	Prec@1 3.516 (4.520)	Prec@5 15.234 (15.588)
Epoch: [7][1940/7045]	Time 0.377 (0.251)	Data 0.326 (0.187)	Loss 5.0879 (5.0262)	Prec@1 4.297 (4.520)	Prec@5 14.844 (15.583)
Epoch: [7][1950/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 5.0233 (5.0262)	Prec@1 2.344 (4.517)	Prec@5 15.234 (15.580)
Epoch: [7][1960/7045]	Time 0.456 (0.251)	Data 0.405 (0.187)	Loss 4.8197 (5.0260)	Prec@1 6.250 (4.517)	Prec@5 17.969 (15.581)
Epoch: [7][1970/7045]	Time 0.100 (0.251)	Data 0.001 (0.187)	Loss 5.1356 (5.0261)	Prec@1 2.734 (4.520)	Prec@5 11.719 (15.580)
Epoch: [7][1980/7045]	Time 0.469 (0.251)	Data 0.417 (0.187)	Loss 5.0585 (5.0261)	Prec@1 5.469 (4.522)	Prec@5 12.500 (15.580)
Epoch: [7][1990/7045]	Time 0.274 (0.251)	Data 0.223 (0.187)	Loss 4.9272 (5.0260)	Prec@1 5.859 (4.522)	Prec@5 17.578 (15.579)
Epoch: [7][2000/7045]	Time 0.378 (0.251)	Data 0.326 (0.187)	Loss 4.9199 (5.0258)	Prec@1 3.516 (4.523)	Prec@5 16.406 (15.582)
Epoch: [7][2010/7045]	Time 0.225 (0.250)	Data 0.174 (0.187)	Loss 5.0043 (5.0257)	Prec@1 4.688 (4.523)	Prec@5 17.969 (15.590)
Epoch: [7][2020/7045]	Time 0.106 (0.250)	Data 0.052 (0.187)	Loss 5.0815 (5.0257)	Prec@1 4.297 (4.525)	Prec@5 14.062 (15.594)
Epoch: [7][2030/7045]	Time 0.176 (0.250)	Data 0.124 (0.187)	Loss 4.9634 (5.0256)	Prec@1 5.859 (4.524)	Prec@5 16.406 (15.596)
Epoch: [7][2040/7045]	Time 0.101 (0.250)	Data 0.048 (0.187)	Loss 4.9180 (5.0258)	Prec@1 4.297 (4.521)	Prec@5 15.234 (15.589)
Epoch: [7][2050/7045]	Time 0.105 (0.250)	Data 0.054 (0.187)	Loss 5.0533 (5.0257)	Prec@1 5.859 (4.521)	Prec@5 15.625 (15.587)
Epoch: [7][2060/7045]	Time 0.238 (0.250)	Data 0.187 (0.187)	Loss 5.0088 (5.0255)	Prec@1 6.250 (4.520)	Prec@5 17.188 (15.590)
Epoch: [7][2070/7045]	Time 0.100 (0.250)	Data 0.001 (0.187)	Loss 4.8847 (5.0253)	Prec@1 4.297 (4.519)	Prec@5 18.750 (15.594)
Epoch: [7][2080/7045]	Time 0.297 (0.250)	Data 0.237 (0.187)	Loss 5.0172 (5.0251)	Prec@1 3.516 (4.516)	Prec@5 16.016 (15.597)
Epoch: [7][2090/7045]	Time 0.103 (0.250)	Data 0.016 (0.187)	Loss 5.1073 (5.0249)	Prec@1 5.469 (4.515)	Prec@5 13.281 (15.601)
Epoch: [7][2100/7045]	Time 0.101 (0.250)	Data 0.022 (0.187)	Loss 4.9730 (5.0248)	Prec@1 3.516 (4.517)	Prec@5 12.891 (15.603)
Epoch: [7][2110/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 5.0606 (5.0250)	Prec@1 3.906 (4.516)	Prec@5 15.625 (15.602)
Epoch: [7][2120/7045]	Time 0.235 (0.250)	Data 0.185 (0.187)	Loss 5.0108 (5.0252)	Prec@1 3.516 (4.515)	Prec@5 12.891 (15.600)
Epoch: [7][2130/7045]	Time 0.187 (0.250)	Data 0.136 (0.187)	Loss 4.7767 (5.0248)	Prec@1 4.688 (4.516)	Prec@5 19.141 (15.605)
Epoch: [7][2140/7045]	Time 0.640 (0.250)	Data 0.589 (0.187)	Loss 5.1178 (5.0248)	Prec@1 3.906 (4.516)	Prec@5 15.625 (15.604)
Epoch: [7][2150/7045]	Time 0.215 (0.250)	Data 0.164 (0.187)	Loss 5.1181 (5.0247)	Prec@1 3.125 (4.516)	Prec@5 14.844 (15.609)
Epoch: [7][2160/7045]	Time 0.102 (0.250)	Data 0.012 (0.187)	Loss 4.9739 (5.0243)	Prec@1 3.125 (4.517)	Prec@5 13.672 (15.614)
Epoch: [7][2170/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 4.9520 (5.0244)	Prec@1 5.469 (4.517)	Prec@5 16.406 (15.612)
Epoch: [7][2180/7045]	Time 0.151 (0.250)	Data 0.099 (0.187)	Loss 4.8912 (5.0241)	Prec@1 3.906 (4.520)	Prec@5 17.969 (15.617)
Epoch: [7][2190/7045]	Time 0.152 (0.250)	Data 0.100 (0.187)	Loss 5.0555 (5.0242)	Prec@1 3.906 (4.519)	Prec@5 13.281 (15.618)
Epoch: [7][2200/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 5.0929 (5.0241)	Prec@1 2.734 (4.519)	Prec@5 14.453 (15.619)
Epoch: [7][2210/7045]	Time 0.358 (0.251)	Data 0.306 (0.187)	Loss 5.0961 (5.0245)	Prec@1 3.516 (4.515)	Prec@5 12.891 (15.617)
Epoch: [7][2220/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 5.1589 (5.0246)	Prec@1 3.516 (4.513)	Prec@5 13.672 (15.613)
Epoch: [7][2230/7045]	Time 0.250 (0.251)	Data 0.198 (0.187)	Loss 4.9898 (5.0247)	Prec@1 6.641 (4.516)	Prec@5 19.922 (15.614)
Epoch: [7][2240/7045]	Time 0.316 (0.251)	Data 0.266 (0.187)	Loss 5.0237 (5.0247)	Prec@1 3.906 (4.516)	Prec@5 16.016 (15.609)
Epoch: [7][2250/7045]	Time 0.314 (0.251)	Data 0.263 (0.187)	Loss 5.0844 (5.0245)	Prec@1 4.688 (4.519)	Prec@5 15.625 (15.612)
Epoch: [7][2260/7045]	Time 0.376 (0.251)	Data 0.314 (0.187)	Loss 5.0014 (5.0245)	Prec@1 3.906 (4.520)	Prec@5 14.844 (15.613)
Epoch: [7][2270/7045]	Time 0.530 (0.251)	Data 0.479 (0.187)	Loss 5.0399 (5.0245)	Prec@1 6.641 (4.515)	Prec@5 15.234 (15.613)
Epoch: [7][2280/7045]	Time 0.189 (0.251)	Data 0.138 (0.187)	Loss 5.0730 (5.0246)	Prec@1 5.078 (4.515)	Prec@5 17.188 (15.612)
Epoch: [7][2290/7045]	Time 0.379 (0.251)	Data 0.328 (0.187)	Loss 4.9571 (5.0243)	Prec@1 5.469 (4.516)	Prec@5 19.531 (15.617)
Epoch: [7][2300/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 5.0463 (5.0242)	Prec@1 5.078 (4.518)	Prec@5 16.797 (15.621)
Epoch: [7][2310/7045]	Time 0.148 (0.250)	Data 0.097 (0.187)	Loss 5.1103 (5.0245)	Prec@1 2.344 (4.516)	Prec@5 12.500 (15.617)
Epoch: [7][2320/7045]	Time 0.104 (0.250)	Data 0.052 (0.187)	Loss 5.1008 (5.0245)	Prec@1 3.906 (4.516)	Prec@5 15.625 (15.618)
Epoch: [7][2330/7045]	Time 0.194 (0.250)	Data 0.143 (0.187)	Loss 5.1056 (5.0242)	Prec@1 5.469 (4.517)	Prec@5 13.672 (15.623)
Epoch: [7][2340/7045]	Time 0.101 (0.250)	Data 0.001 (0.187)	Loss 4.8008 (5.0240)	Prec@1 5.469 (4.518)	Prec@5 20.703 (15.630)
Epoch: [7][2350/7045]	Time 0.155 (0.251)	Data 0.103 (0.187)	Loss 4.8734 (5.0238)	Prec@1 5.469 (4.516)	Prec@5 19.141 (15.631)
Epoch: [7][2360/7045]	Time 0.101 (0.250)	Data 0.001 (0.187)	Loss 5.2039 (5.0236)	Prec@1 3.516 (4.517)	Prec@5 14.062 (15.638)
Epoch: [7][2370/7045]	Time 0.111 (0.250)	Data 0.059 (0.187)	Loss 5.0286 (5.0235)	Prec@1 4.297 (4.516)	Prec@5 16.406 (15.639)
Epoch: [7][2380/7045]	Time 0.113 (0.250)	Data 0.061 (0.186)	Loss 4.9187 (5.0235)	Prec@1 5.859 (4.516)	Prec@5 17.578 (15.643)
Epoch: [7][2390/7045]	Time 0.337 (0.250)	Data 0.286 (0.187)	Loss 5.0696 (5.0235)	Prec@1 5.469 (4.517)	Prec@5 15.234 (15.644)
Epoch: [7][2400/7045]	Time 0.177 (0.250)	Data 0.126 (0.187)	Loss 4.9082 (5.0235)	Prec@1 6.641 (4.516)	Prec@5 19.141 (15.642)
Epoch: [7][2410/7045]	Time 0.293 (0.250)	Data 0.243 (0.187)	Loss 4.9599 (5.0234)	Prec@1 4.688 (4.517)	Prec@5 16.797 (15.645)
Epoch: [7][2420/7045]	Time 0.108 (0.250)	Data 0.013 (0.187)	Loss 5.0435 (5.0232)	Prec@1 3.516 (4.518)	Prec@5 15.625 (15.655)
Epoch: [7][2430/7045]	Time 0.133 (0.250)	Data 0.082 (0.186)	Loss 5.0343 (5.0231)	Prec@1 5.469 (4.520)	Prec@5 17.969 (15.661)
Epoch: [7][2440/7045]	Time 0.146 (0.250)	Data 0.096 (0.187)	Loss 4.8587 (5.0231)	Prec@1 5.078 (4.519)	Prec@5 17.188 (15.656)
Epoch: [7][2450/7045]	Time 0.102 (0.250)	Data 0.001 (0.186)	Loss 4.8962 (5.0232)	Prec@1 6.250 (4.517)	Prec@5 20.703 (15.657)
Epoch: [7][2460/7045]	Time 0.102 (0.250)	Data 0.014 (0.186)	Loss 5.0870 (5.0231)	Prec@1 3.516 (4.516)	Prec@5 14.062 (15.658)
Epoch: [7][2470/7045]	Time 0.101 (0.250)	Data 0.006 (0.186)	Loss 5.1369 (5.0233)	Prec@1 2.734 (4.515)	Prec@5 15.234 (15.656)
Epoch: [7][2480/7045]	Time 0.102 (0.250)	Data 0.004 (0.186)	Loss 5.1818 (5.0234)	Prec@1 1.562 (4.517)	Prec@5 12.109 (15.657)
Epoch: [7][2490/7045]	Time 0.123 (0.250)	Data 0.071 (0.186)	Loss 5.0035 (5.0236)	Prec@1 5.469 (4.518)	Prec@5 16.797 (15.656)
Epoch: [7][2500/7045]	Time 0.101 (0.250)	Data 0.007 (0.186)	Loss 5.0298 (5.0237)	Prec@1 5.078 (4.518)	Prec@5 15.625 (15.655)
Epoch: [7][2510/7045]	Time 0.396 (0.250)	Data 0.340 (0.186)	Loss 4.9539 (5.0236)	Prec@1 3.906 (4.520)	Prec@5 14.453 (15.656)
Epoch: [7][2520/7045]	Time 0.108 (0.250)	Data 0.056 (0.186)	Loss 5.0435 (5.0238)	Prec@1 7.422 (4.519)	Prec@5 15.625 (15.653)
Epoch: [7][2530/7045]	Time 0.460 (0.250)	Data 0.407 (0.186)	Loss 5.0561 (5.0239)	Prec@1 4.297 (4.517)	Prec@5 15.234 (15.648)
Epoch: [7][2540/7045]	Time 0.103 (0.250)	Data 0.050 (0.186)	Loss 5.0773 (5.0238)	Prec@1 7.422 (4.523)	Prec@5 16.797 (15.653)
Epoch: [7][2550/7045]	Time 0.515 (0.250)	Data 0.456 (0.186)	Loss 5.1838 (5.0239)	Prec@1 2.344 (4.522)	Prec@5 14.062 (15.653)
Epoch: [7][2560/7045]	Time 0.199 (0.250)	Data 0.148 (0.186)	Loss 4.9440 (5.0237)	Prec@1 4.688 (4.524)	Prec@5 14.453 (15.654)
Epoch: [7][2570/7045]	Time 0.381 (0.250)	Data 0.331 (0.186)	Loss 5.0802 (5.0238)	Prec@1 3.516 (4.524)	Prec@5 15.234 (15.654)
Epoch: [7][2580/7045]	Time 0.437 (0.250)	Data 0.385 (0.186)	Loss 5.0072 (5.0239)	Prec@1 3.906 (4.524)	Prec@5 16.406 (15.652)
Epoch: [7][2590/7045]	Time 0.164 (0.250)	Data 0.112 (0.186)	Loss 4.9887 (5.0237)	Prec@1 4.297 (4.525)	Prec@5 15.625 (15.656)
Epoch: [7][2600/7045]	Time 0.108 (0.250)	Data 0.001 (0.186)	Loss 5.0016 (5.0235)	Prec@1 5.469 (4.528)	Prec@5 16.406 (15.660)
Epoch: [7][2610/7045]	Time 0.246 (0.250)	Data 0.196 (0.186)	Loss 5.1524 (5.0235)	Prec@1 3.516 (4.527)	Prec@5 14.453 (15.660)
Epoch: [7][2620/7045]	Time 0.383 (0.250)	Data 0.331 (0.186)	Loss 5.0425 (5.0236)	Prec@1 5.859 (4.527)	Prec@5 15.234 (15.657)
Epoch: [7][2630/7045]	Time 0.102 (0.250)	Data 0.003 (0.187)	Loss 4.9331 (5.0236)	Prec@1 6.641 (4.528)	Prec@5 13.281 (15.657)
Epoch: [7][2640/7045]	Time 0.113 (0.250)	Data 0.062 (0.186)	Loss 4.9502 (5.0237)	Prec@1 4.688 (4.529)	Prec@5 15.625 (15.658)
Epoch: [7][2650/7045]	Time 0.115 (0.250)	Data 0.064 (0.187)	Loss 5.0640 (5.0237)	Prec@1 4.688 (4.532)	Prec@5 16.016 (15.661)
Epoch: [7][2660/7045]	Time 0.462 (0.250)	Data 0.409 (0.187)	Loss 5.0189 (5.0238)	Prec@1 5.078 (4.530)	Prec@5 14.844 (15.659)
Epoch: [7][2670/7045]	Time 0.261 (0.250)	Data 0.210 (0.187)	Loss 4.8982 (5.0238)	Prec@1 5.469 (4.532)	Prec@5 15.234 (15.665)
Epoch: [7][2680/7045]	Time 0.519 (0.250)	Data 0.467 (0.187)	Loss 5.2167 (5.0240)	Prec@1 3.516 (4.528)	Prec@5 11.328 (15.657)
Epoch: [7][2690/7045]	Time 0.105 (0.250)	Data 0.053 (0.187)	Loss 4.9375 (5.0239)	Prec@1 5.078 (4.531)	Prec@5 17.188 (15.659)
Epoch: [7][2700/7045]	Time 0.373 (0.250)	Data 0.321 (0.187)	Loss 5.0506 (5.0241)	Prec@1 3.125 (4.530)	Prec@5 17.578 (15.658)
Epoch: [7][2710/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 5.1125 (5.0241)	Prec@1 3.906 (4.528)	Prec@5 14.062 (15.660)
Epoch: [7][2720/7045]	Time 0.330 (0.250)	Data 0.278 (0.187)	Loss 4.7996 (5.0238)	Prec@1 5.469 (4.530)	Prec@5 21.875 (15.662)
Epoch: [7][2730/7045]	Time 0.188 (0.250)	Data 0.137 (0.187)	Loss 5.0972 (5.0238)	Prec@1 4.297 (4.529)	Prec@5 14.453 (15.666)
Epoch: [7][2740/7045]	Time 0.315 (0.250)	Data 0.263 (0.187)	Loss 5.0931 (5.0238)	Prec@1 5.078 (4.529)	Prec@5 14.844 (15.667)
Epoch: [7][2750/7045]	Time 0.565 (0.250)	Data 0.514 (0.187)	Loss 5.2083 (5.0240)	Prec@1 3.516 (4.527)	Prec@5 12.109 (15.666)
Epoch: [7][2760/7045]	Time 0.102 (0.250)	Data 0.049 (0.187)	Loss 5.1445 (5.0242)	Prec@1 5.859 (4.526)	Prec@5 12.891 (15.661)
Epoch: [7][2770/7045]	Time 0.164 (0.250)	Data 0.112 (0.187)	Loss 5.2006 (5.0242)	Prec@1 4.297 (4.526)	Prec@5 14.453 (15.659)
Epoch: [7][2780/7045]	Time 0.102 (0.250)	Data 0.012 (0.186)	Loss 5.0947 (5.0245)	Prec@1 5.469 (4.524)	Prec@5 14.453 (15.656)
Epoch: [7][2790/7045]	Time 0.311 (0.250)	Data 0.259 (0.187)	Loss 4.9980 (5.0243)	Prec@1 2.734 (4.525)	Prec@5 16.797 (15.661)
Epoch: [7][2800/7045]	Time 0.102 (0.250)	Data 0.001 (0.186)	Loss 4.9877 (5.0242)	Prec@1 7.031 (4.528)	Prec@5 17.188 (15.659)
Epoch: [7][2810/7045]	Time 0.109 (0.250)	Data 0.057 (0.186)	Loss 4.9930 (5.0241)	Prec@1 5.859 (4.530)	Prec@5 14.844 (15.660)
Epoch: [7][2820/7045]	Time 0.101 (0.250)	Data 0.001 (0.186)	Loss 5.1654 (5.0243)	Prec@1 3.516 (4.529)	Prec@5 12.891 (15.656)
Epoch: [7][2830/7045]	Time 0.110 (0.250)	Data 0.001 (0.186)	Loss 5.0107 (5.0243)	Prec@1 5.078 (4.530)	Prec@5 14.844 (15.659)
Epoch: [7][2840/7045]	Time 0.114 (0.250)	Data 0.060 (0.186)	Loss 4.9624 (5.0243)	Prec@1 5.469 (4.530)	Prec@5 17.188 (15.660)
Epoch: [7][2850/7045]	Time 0.102 (0.250)	Data 0.001 (0.186)	Loss 5.0734 (5.0243)	Prec@1 3.906 (4.530)	Prec@5 16.797 (15.661)
Epoch: [7][2860/7045]	Time 0.101 (0.250)	Data 0.001 (0.186)	Loss 5.1407 (5.0243)	Prec@1 2.344 (4.529)	Prec@5 10.547 (15.660)
Epoch: [7][2870/7045]	Time 0.112 (0.250)	Data 0.059 (0.186)	Loss 4.9803 (5.0242)	Prec@1 2.734 (4.529)	Prec@5 17.188 (15.664)
Epoch: [7][2880/7045]	Time 0.108 (0.250)	Data 0.056 (0.186)	Loss 5.0684 (5.0242)	Prec@1 4.297 (4.531)	Prec@5 15.625 (15.666)
Epoch: [7][2890/7045]	Time 0.106 (0.250)	Data 0.054 (0.186)	Loss 5.1709 (5.0243)	Prec@1 4.297 (4.531)	Prec@5 15.234 (15.665)
Epoch: [7][2900/7045]	Time 0.177 (0.250)	Data 0.125 (0.186)	Loss 4.8593 (5.0241)	Prec@1 4.297 (4.531)	Prec@5 15.625 (15.669)
Epoch: [7][2910/7045]	Time 0.112 (0.250)	Data 0.017 (0.186)	Loss 5.0520 (5.0242)	Prec@1 5.078 (4.531)	Prec@5 14.062 (15.667)
Epoch: [7][2920/7045]	Time 0.216 (0.250)	Data 0.165 (0.186)	Loss 4.9929 (5.0243)	Prec@1 5.078 (4.531)	Prec@5 13.281 (15.665)
Epoch: [7][2930/7045]	Time 0.103 (0.250)	Data 0.012 (0.186)	Loss 5.0917 (5.0243)	Prec@1 6.250 (4.531)	Prec@5 18.359 (15.664)
Epoch: [7][2940/7045]	Time 0.586 (0.250)	Data 0.535 (0.186)	Loss 5.0322 (5.0243)	Prec@1 4.297 (4.532)	Prec@5 17.188 (15.661)
Epoch: [7][2950/7045]	Time 0.102 (0.250)	Data 0.013 (0.186)	Loss 5.0158 (5.0241)	Prec@1 5.859 (4.533)	Prec@5 19.922 (15.667)
Epoch: [7][2960/7045]	Time 0.665 (0.250)	Data 0.614 (0.186)	Loss 5.0475 (5.0242)	Prec@1 4.688 (4.532)	Prec@5 15.625 (15.666)
Epoch: [7][2970/7045]	Time 0.122 (0.250)	Data 0.071 (0.186)	Loss 5.1458 (5.0241)	Prec@1 3.125 (4.535)	Prec@5 13.281 (15.672)
Epoch: [7][2980/7045]	Time 0.528 (0.250)	Data 0.476 (0.186)	Loss 5.0493 (5.0240)	Prec@1 3.516 (4.535)	Prec@5 16.406 (15.675)
Epoch: [7][2990/7045]	Time 0.101 (0.250)	Data 0.001 (0.186)	Loss 4.9961 (5.0241)	Prec@1 2.344 (4.536)	Prec@5 14.062 (15.675)
Epoch: [7][3000/7045]	Time 0.480 (0.250)	Data 0.428 (0.186)	Loss 5.0722 (5.0241)	Prec@1 5.859 (4.536)	Prec@5 17.188 (15.675)
Epoch: [7][3010/7045]	Time 0.102 (0.250)	Data 0.010 (0.186)	Loss 5.0278 (5.0244)	Prec@1 5.469 (4.533)	Prec@5 12.891 (15.668)
Epoch: [7][3020/7045]	Time 0.319 (0.250)	Data 0.269 (0.186)	Loss 5.0079 (5.0244)	Prec@1 4.297 (4.530)	Prec@5 14.844 (15.666)
Epoch: [7][3030/7045]	Time 0.103 (0.250)	Data 0.050 (0.186)	Loss 4.9401 (5.0243)	Prec@1 4.297 (4.531)	Prec@5 13.672 (15.667)
Epoch: [7][3040/7045]	Time 0.329 (0.250)	Data 0.277 (0.186)	Loss 4.9803 (5.0242)	Prec@1 3.516 (4.528)	Prec@5 19.141 (15.668)
Epoch: [7][3050/7045]	Time 0.101 (0.250)	Data 0.010 (0.186)	Loss 5.0141 (5.0243)	Prec@1 5.078 (4.526)	Prec@5 15.234 (15.664)
Epoch: [7][3060/7045]	Time 0.314 (0.250)	Data 0.263 (0.186)	Loss 4.9783 (5.0242)	Prec@1 2.734 (4.527)	Prec@5 15.234 (15.667)
Epoch: [7][3070/7045]	Time 0.110 (0.250)	Data 0.059 (0.186)	Loss 5.1054 (5.0242)	Prec@1 3.516 (4.529)	Prec@5 12.109 (15.667)
Epoch: [7][3080/7045]	Time 0.308 (0.250)	Data 0.256 (0.186)	Loss 5.1557 (5.0241)	Prec@1 5.078 (4.532)	Prec@5 16.016 (15.672)
Epoch: [7][3090/7045]	Time 0.100 (0.250)	Data 0.008 (0.186)	Loss 5.0219 (5.0239)	Prec@1 3.125 (4.533)	Prec@5 14.453 (15.675)
Epoch: [7][3100/7045]	Time 0.342 (0.250)	Data 0.290 (0.186)	Loss 5.1286 (5.0236)	Prec@1 4.297 (4.537)	Prec@5 14.453 (15.680)
Epoch: [7][3110/7045]	Time 0.102 (0.250)	Data 0.009 (0.186)	Loss 4.9697 (5.0235)	Prec@1 5.078 (4.538)	Prec@5 18.750 (15.681)
Epoch: [7][3120/7045]	Time 0.663 (0.250)	Data 0.612 (0.186)	Loss 5.0726 (5.0236)	Prec@1 3.906 (4.539)	Prec@5 12.109 (15.682)
Epoch: [7][3130/7045]	Time 0.101 (0.250)	Data 0.006 (0.186)	Loss 5.0165 (5.0235)	Prec@1 5.078 (4.539)	Prec@5 16.406 (15.682)
Epoch: [7][3140/7045]	Time 0.499 (0.250)	Data 0.445 (0.186)	Loss 4.8579 (5.0234)	Prec@1 2.344 (4.537)	Prec@5 19.922 (15.683)
Epoch: [7][3150/7045]	Time 0.103 (0.250)	Data 0.004 (0.186)	Loss 5.0081 (5.0232)	Prec@1 6.250 (4.538)	Prec@5 16.797 (15.688)
Epoch: [7][3160/7045]	Time 0.322 (0.250)	Data 0.271 (0.186)	Loss 4.9844 (5.0232)	Prec@1 5.078 (4.537)	Prec@5 15.234 (15.688)
Epoch: [7][3170/7045]	Time 0.101 (0.250)	Data 0.001 (0.186)	Loss 5.0416 (5.0231)	Prec@1 6.641 (4.538)	Prec@5 18.750 (15.689)
Epoch: [7][3180/7045]	Time 0.330 (0.250)	Data 0.271 (0.186)	Loss 5.1299 (5.0232)	Prec@1 3.125 (4.536)	Prec@5 12.500 (15.687)
Epoch: [7][3190/7045]	Time 0.100 (0.250)	Data 0.014 (0.186)	Loss 4.9733 (5.0231)	Prec@1 3.125 (4.536)	Prec@5 13.672 (15.687)
Epoch: [7][3200/7045]	Time 0.297 (0.250)	Data 0.244 (0.186)	Loss 5.0984 (5.0233)	Prec@1 3.516 (4.535)	Prec@5 15.625 (15.686)
Epoch: [7][3210/7045]	Time 0.447 (0.250)	Data 0.397 (0.186)	Loss 5.0068 (5.0231)	Prec@1 5.469 (4.539)	Prec@5 16.797 (15.688)
Epoch: [7][3220/7045]	Time 0.109 (0.250)	Data 0.015 (0.186)	Loss 4.9965 (5.0229)	Prec@1 4.688 (4.540)	Prec@5 17.188 (15.689)
Epoch: [7][3230/7045]	Time 0.334 (0.250)	Data 0.282 (0.186)	Loss 5.0175 (5.0230)	Prec@1 5.859 (4.541)	Prec@5 19.141 (15.690)
Epoch: [7][3240/7045]	Time 0.172 (0.250)	Data 0.120 (0.186)	Loss 4.9796 (5.0229)	Prec@1 3.906 (4.542)	Prec@5 15.234 (15.690)
Epoch: [7][3250/7045]	Time 0.547 (0.250)	Data 0.496 (0.186)	Loss 5.1303 (5.0231)	Prec@1 3.125 (4.542)	Prec@5 14.062 (15.687)
Epoch: [7][3260/7045]	Time 0.102 (0.250)	Data 0.011 (0.186)	Loss 5.0820 (5.0234)	Prec@1 3.516 (4.539)	Prec@5 14.453 (15.682)
Epoch: [7][3270/7045]	Time 0.335 (0.250)	Data 0.284 (0.186)	Loss 5.0193 (5.0234)	Prec@1 1.953 (4.539)	Prec@5 13.672 (15.681)
Epoch: [7][3280/7045]	Time 0.103 (0.250)	Data 0.051 (0.186)	Loss 5.0755 (5.0236)	Prec@1 4.688 (4.540)	Prec@5 16.016 (15.678)
Epoch: [7][3290/7045]	Time 0.108 (0.250)	Data 0.005 (0.186)	Loss 4.9832 (5.0235)	Prec@1 5.469 (4.539)	Prec@5 19.531 (15.681)
Epoch: [7][3300/7045]	Time 0.106 (0.250)	Data 0.054 (0.186)	Loss 4.9478 (5.0234)	Prec@1 4.688 (4.538)	Prec@5 18.750 (15.682)
Epoch: [7][3310/7045]	Time 0.107 (0.250)	Data 0.054 (0.186)	Loss 4.9815 (5.0233)	Prec@1 4.688 (4.537)	Prec@5 16.797 (15.684)
Epoch: [7][3320/7045]	Time 0.182 (0.250)	Data 0.131 (0.186)	Loss 5.0131 (5.0232)	Prec@1 3.125 (4.537)	Prec@5 12.891 (15.681)
Epoch: [7][3330/7045]	Time 0.106 (0.250)	Data 0.053 (0.186)	Loss 4.9942 (5.0233)	Prec@1 6.250 (4.537)	Prec@5 16.406 (15.681)
Epoch: [7][3340/7045]	Time 0.571 (0.250)	Data 0.513 (0.186)	Loss 4.9832 (5.0233)	Prec@1 3.125 (4.537)	Prec@5 16.016 (15.686)
Epoch: [7][3350/7045]	Time 0.110 (0.250)	Data 0.001 (0.186)	Loss 4.8558 (5.0232)	Prec@1 4.688 (4.537)	Prec@5 22.656 (15.687)
Epoch: [7][3360/7045]	Time 0.479 (0.250)	Data 0.427 (0.186)	Loss 5.0394 (5.0233)	Prec@1 5.859 (4.537)	Prec@5 14.453 (15.685)
Epoch: [7][3370/7045]	Time 0.100 (0.250)	Data 0.001 (0.186)	Loss 5.0176 (5.0233)	Prec@1 4.688 (4.538)	Prec@5 16.016 (15.686)
Epoch: [7][3380/7045]	Time 0.567 (0.250)	Data 0.517 (0.186)	Loss 5.0528 (5.0232)	Prec@1 3.125 (4.537)	Prec@5 15.625 (15.687)
Epoch: [7][3390/7045]	Time 0.099 (0.250)	Data 0.001 (0.186)	Loss 4.9900 (5.0231)	Prec@1 3.125 (4.539)	Prec@5 14.062 (15.689)
Epoch: [7][3400/7045]	Time 0.536 (0.250)	Data 0.475 (0.186)	Loss 4.9393 (5.0232)	Prec@1 5.078 (4.541)	Prec@5 18.359 (15.687)
Epoch: [7][3410/7045]	Time 0.143 (0.250)	Data 0.082 (0.186)	Loss 4.9898 (5.0230)	Prec@1 5.859 (4.544)	Prec@5 16.016 (15.691)
Epoch: [7][3420/7045]	Time 0.569 (0.250)	Data 0.517 (0.186)	Loss 5.1071 (5.0230)	Prec@1 4.297 (4.545)	Prec@5 14.844 (15.693)
Epoch: [7][3430/7045]	Time 0.103 (0.250)	Data 0.020 (0.186)	Loss 5.1123 (5.0229)	Prec@1 3.906 (4.544)	Prec@5 13.281 (15.690)
Epoch: [7][3440/7045]	Time 0.485 (0.250)	Data 0.434 (0.186)	Loss 4.9583 (5.0226)	Prec@1 2.344 (4.544)	Prec@5 16.016 (15.694)
Epoch: [7][3450/7045]	Time 0.114 (0.250)	Data 0.061 (0.186)	Loss 5.0177 (5.0224)	Prec@1 6.250 (4.545)	Prec@5 17.188 (15.699)
Epoch: [7][3460/7045]	Time 0.639 (0.250)	Data 0.587 (0.186)	Loss 4.9873 (5.0223)	Prec@1 5.078 (4.545)	Prec@5 16.016 (15.701)
Epoch: [7][3470/7045]	Time 0.112 (0.250)	Data 0.060 (0.186)	Loss 4.9108 (5.0222)	Prec@1 6.250 (4.545)	Prec@5 19.141 (15.703)
Epoch: [7][3480/7045]	Time 0.429 (0.250)	Data 0.378 (0.186)	Loss 5.0620 (5.0223)	Prec@1 5.859 (4.545)	Prec@5 14.453 (15.702)
Epoch: [7][3490/7045]	Time 0.109 (0.250)	Data 0.054 (0.186)	Loss 5.1265 (5.0224)	Prec@1 3.906 (4.546)	Prec@5 12.891 (15.701)
Epoch: [7][3500/7045]	Time 0.370 (0.250)	Data 0.309 (0.186)	Loss 5.1642 (5.0225)	Prec@1 3.516 (4.545)	Prec@5 12.891 (15.698)
Epoch: [7][3510/7045]	Time 0.102 (0.250)	Data 0.015 (0.186)	Loss 4.9834 (5.0225)	Prec@1 4.297 (4.545)	Prec@5 16.406 (15.698)
Epoch: [7][3520/7045]	Time 0.101 (0.250)	Data 0.008 (0.186)	Loss 5.0763 (5.0227)	Prec@1 5.078 (4.544)	Prec@5 14.844 (15.697)
Epoch: [7][3530/7045]	Time 0.111 (0.250)	Data 0.058 (0.186)	Loss 4.8694 (5.0227)	Prec@1 5.078 (4.545)	Prec@5 16.797 (15.697)
Epoch: [7][3540/7045]	Time 0.176 (0.250)	Data 0.124 (0.186)	Loss 4.9325 (5.0228)	Prec@1 5.078 (4.544)	Prec@5 21.094 (15.696)
Epoch: [7][3550/7045]	Time 0.103 (0.250)	Data 0.021 (0.186)	Loss 5.0301 (5.0228)	Prec@1 5.469 (4.545)	Prec@5 14.453 (15.697)
Epoch: [7][3560/7045]	Time 0.167 (0.250)	Data 0.116 (0.186)	Loss 5.0671 (5.0227)	Prec@1 5.469 (4.545)	Prec@5 16.406 (15.697)
Epoch: [7][3570/7045]	Time 0.233 (0.250)	Data 0.182 (0.186)	Loss 4.9942 (5.0227)	Prec@1 3.906 (4.545)	Prec@5 13.672 (15.698)
Epoch: [7][3580/7045]	Time 0.101 (0.250)	Data 0.011 (0.186)	Loss 5.1112 (5.0228)	Prec@1 6.641 (4.545)	Prec@5 19.141 (15.697)
Epoch: [7][3590/7045]	Time 0.426 (0.250)	Data 0.376 (0.186)	Loss 5.0322 (5.0227)	Prec@1 3.906 (4.545)	Prec@5 17.188 (15.699)
Epoch: [7][3600/7045]	Time 0.101 (0.250)	Data 0.013 (0.186)	Loss 5.0434 (5.0227)	Prec@1 6.250 (4.545)	Prec@5 13.281 (15.699)
Epoch: [7][3610/7045]	Time 0.789 (0.250)	Data 0.738 (0.186)	Loss 5.1072 (5.0227)	Prec@1 3.906 (4.544)	Prec@5 14.844 (15.697)
Epoch: [7][3620/7045]	Time 0.190 (0.250)	Data 0.131 (0.186)	Loss 5.0017 (5.0228)	Prec@1 6.250 (4.543)	Prec@5 15.625 (15.693)
Epoch: [7][3630/7045]	Time 0.474 (0.250)	Data 0.423 (0.186)	Loss 5.1212 (5.0229)	Prec@1 3.516 (4.544)	Prec@5 12.109 (15.692)
Epoch: [7][3640/7045]	Time 0.196 (0.250)	Data 0.145 (0.186)	Loss 4.9925 (5.0228)	Prec@1 3.516 (4.545)	Prec@5 16.016 (15.694)
Epoch: [7][3650/7045]	Time 0.462 (0.250)	Data 0.403 (0.186)	Loss 5.0562 (5.0228)	Prec@1 3.906 (4.545)	Prec@5 13.672 (15.692)
Epoch: [7][3660/7045]	Time 0.116 (0.250)	Data 0.064 (0.186)	Loss 5.0499 (5.0228)	Prec@1 3.906 (4.546)	Prec@5 15.234 (15.693)
Epoch: [7][3670/7045]	Time 0.134 (0.250)	Data 0.082 (0.186)	Loss 5.0189 (5.0229)	Prec@1 5.469 (4.546)	Prec@5 14.844 (15.692)
Epoch: [7][3680/7045]	Time 0.101 (0.250)	Data 0.013 (0.186)	Loss 5.0256 (5.0230)	Prec@1 5.078 (4.545)	Prec@5 17.188 (15.693)
Epoch: [7][3690/7045]	Time 0.109 (0.250)	Data 0.057 (0.186)	Loss 5.0129 (5.0228)	Prec@1 6.250 (4.548)	Prec@5 17.578 (15.698)
Epoch: [7][3700/7045]	Time 0.283 (0.250)	Data 0.232 (0.186)	Loss 5.0290 (5.0227)	Prec@1 5.078 (4.548)	Prec@5 14.844 (15.700)
Epoch: [7][3710/7045]	Time 0.160 (0.250)	Data 0.108 (0.186)	Loss 4.9853 (5.0227)	Prec@1 5.859 (4.549)	Prec@5 17.578 (15.702)
Epoch: [7][3720/7045]	Time 0.352 (0.250)	Data 0.294 (0.186)	Loss 5.0055 (5.0226)	Prec@1 3.906 (4.549)	Prec@5 14.062 (15.703)
Epoch: [7][3730/7045]	Time 0.394 (0.250)	Data 0.343 (0.186)	Loss 4.9499 (5.0227)	Prec@1 4.688 (4.550)	Prec@5 13.281 (15.701)
Epoch: [7][3740/7045]	Time 0.103 (0.250)	Data 0.050 (0.186)	Loss 5.0720 (5.0227)	Prec@1 3.906 (4.549)	Prec@5 16.406 (15.700)
Epoch: [7][3750/7045]	Time 0.188 (0.250)	Data 0.135 (0.186)	Loss 4.9462 (5.0225)	Prec@1 6.641 (4.553)	Prec@5 16.406 (15.704)
Epoch: [7][3760/7045]	Time 0.360 (0.250)	Data 0.309 (0.186)	Loss 5.1444 (5.0224)	Prec@1 1.953 (4.554)	Prec@5 9.766 (15.707)
Epoch: [7][3770/7045]	Time 0.102 (0.250)	Data 0.011 (0.186)	Loss 5.0579 (5.0226)	Prec@1 3.125 (4.550)	Prec@5 12.500 (15.701)
Epoch: [7][3780/7045]	Time 0.576 (0.250)	Data 0.518 (0.186)	Loss 5.0366 (5.0226)	Prec@1 4.297 (4.549)	Prec@5 15.234 (15.700)
Epoch: [7][3790/7045]	Time 0.111 (0.250)	Data 0.059 (0.186)	Loss 5.0863 (5.0227)	Prec@1 3.516 (4.549)	Prec@5 15.625 (15.700)
Epoch: [7][3800/7045]	Time 0.498 (0.250)	Data 0.448 (0.186)	Loss 4.9397 (5.0225)	Prec@1 4.297 (4.551)	Prec@5 16.016 (15.700)
Epoch: [7][3810/7045]	Time 0.203 (0.250)	Data 0.149 (0.186)	Loss 5.1421 (5.0226)	Prec@1 2.344 (4.550)	Prec@5 11.719 (15.700)
Epoch: [7][3820/7045]	Time 0.292 (0.250)	Data 0.234 (0.186)	Loss 5.2907 (5.0228)	Prec@1 4.297 (4.548)	Prec@5 16.797 (15.701)
Epoch: [7][3830/7045]	Time 0.571 (0.250)	Data 0.519 (0.186)	Loss 5.0315 (5.0229)	Prec@1 4.297 (4.548)	Prec@5 15.625 (15.698)
Epoch: [7][3840/7045]	Time 0.322 (0.250)	Data 0.271 (0.186)	Loss 4.9695 (5.0229)	Prec@1 7.812 (4.551)	Prec@5 21.875 (15.701)
Epoch: [7][3850/7045]	Time 0.169 (0.250)	Data 0.118 (0.186)	Loss 5.0523 (5.0228)	Prec@1 5.078 (4.552)	Prec@5 14.844 (15.703)
Epoch: [7][3860/7045]	Time 0.206 (0.250)	Data 0.154 (0.186)	Loss 5.0315 (5.0229)	Prec@1 4.688 (4.552)	Prec@5 16.016 (15.703)
Epoch: [7][3870/7045]	Time 0.237 (0.250)	Data 0.185 (0.186)	Loss 4.9310 (5.0229)	Prec@1 5.078 (4.551)	Prec@5 17.188 (15.702)
Epoch: [7][3880/7045]	Time 0.111 (0.250)	Data 0.059 (0.186)	Loss 5.0752 (5.0228)	Prec@1 4.688 (4.551)	Prec@5 12.500 (15.703)
Epoch: [7][3890/7045]	Time 0.182 (0.250)	Data 0.124 (0.186)	Loss 4.9476 (5.0227)	Prec@1 5.469 (4.552)	Prec@5 16.797 (15.707)
Epoch: [7][3900/7045]	Time 0.186 (0.250)	Data 0.136 (0.186)	Loss 4.9783 (5.0227)	Prec@1 2.344 (4.550)	Prec@5 14.062 (15.708)
Epoch: [7][3910/7045]	Time 0.297 (0.250)	Data 0.245 (0.186)	Loss 4.9378 (5.0226)	Prec@1 3.906 (4.550)	Prec@5 16.797 (15.708)
Epoch: [7][3920/7045]	Time 0.323 (0.250)	Data 0.271 (0.186)	Loss 5.0365 (5.0225)	Prec@1 4.688 (4.551)	Prec@5 15.234 (15.709)
Epoch: [7][3930/7045]	Time 0.102 (0.250)	Data 0.005 (0.186)	Loss 4.9153 (5.0223)	Prec@1 4.297 (4.552)	Prec@5 17.188 (15.712)
Epoch: [7][3940/7045]	Time 0.660 (0.250)	Data 0.608 (0.186)	Loss 4.9393 (5.0222)	Prec@1 5.078 (4.553)	Prec@5 17.578 (15.714)
Epoch: [7][3950/7045]	Time 0.102 (0.250)	Data 0.011 (0.186)	Loss 5.1663 (5.0222)	Prec@1 3.516 (4.552)	Prec@5 12.500 (15.715)
Epoch: [7][3960/7045]	Time 0.381 (0.250)	Data 0.329 (0.186)	Loss 5.0033 (5.0224)	Prec@1 5.078 (4.551)	Prec@5 16.797 (15.710)
Epoch: [7][3970/7045]	Time 0.125 (0.250)	Data 0.071 (0.186)	Loss 5.0688 (5.0225)	Prec@1 3.906 (4.550)	Prec@5 17.969 (15.711)
Epoch: [7][3980/7045]	Time 0.516 (0.250)	Data 0.464 (0.186)	Loss 4.9615 (5.0225)	Prec@1 5.469 (4.550)	Prec@5 14.844 (15.709)
Epoch: [7][3990/7045]	Time 0.338 (0.250)	Data 0.287 (0.186)	Loss 5.1161 (5.0225)	Prec@1 5.859 (4.549)	Prec@5 18.359 (15.708)
Epoch: [7][4000/7045]	Time 0.238 (0.250)	Data 0.187 (0.186)	Loss 5.1190 (5.0225)	Prec@1 3.516 (4.551)	Prec@5 14.062 (15.708)
Epoch: [7][4010/7045]	Time 0.328 (0.250)	Data 0.277 (0.186)	Loss 5.0783 (5.0225)	Prec@1 3.516 (4.550)	Prec@5 14.062 (15.705)
Epoch: [7][4020/7045]	Time 0.102 (0.250)	Data 0.001 (0.186)	Loss 5.0789 (5.0224)	Prec@1 2.734 (4.550)	Prec@5 11.719 (15.707)
Epoch: [7][4030/7045]	Time 0.405 (0.250)	Data 0.354 (0.186)	Loss 5.0625 (5.0223)	Prec@1 5.859 (4.551)	Prec@5 16.406 (15.710)
Epoch: [7][4040/7045]	Time 0.099 (0.250)	Data 0.045 (0.186)	Loss 5.0703 (5.0222)	Prec@1 2.734 (4.552)	Prec@5 13.281 (15.711)
Epoch: [7][4050/7045]	Time 0.336 (0.250)	Data 0.284 (0.186)	Loss 4.9408 (5.0221)	Prec@1 5.469 (4.554)	Prec@5 14.453 (15.712)
Epoch: [7][4060/7045]	Time 0.293 (0.250)	Data 0.241 (0.186)	Loss 5.1131 (5.0221)	Prec@1 4.297 (4.554)	Prec@5 15.625 (15.714)
Epoch: [7][4070/7045]	Time 0.262 (0.250)	Data 0.211 (0.186)	Loss 5.0696 (5.0223)	Prec@1 1.953 (4.553)	Prec@5 12.891 (15.712)
Epoch: [7][4080/7045]	Time 0.102 (0.250)	Data 0.050 (0.186)	Loss 4.9891 (5.0222)	Prec@1 5.078 (4.552)	Prec@5 14.844 (15.715)
Epoch: [7][4090/7045]	Time 0.592 (0.250)	Data 0.541 (0.186)	Loss 4.9751 (5.0222)	Prec@1 3.906 (4.551)	Prec@5 14.062 (15.714)
Epoch: [7][4100/7045]	Time 0.102 (0.250)	Data 0.001 (0.186)	Loss 5.0260 (5.0222)	Prec@1 4.297 (4.551)	Prec@5 15.234 (15.714)
Epoch: [7][4110/7045]	Time 0.353 (0.250)	Data 0.301 (0.186)	Loss 4.9574 (5.0221)	Prec@1 5.859 (4.551)	Prec@5 18.359 (15.715)
Epoch: [7][4120/7045]	Time 0.222 (0.250)	Data 0.172 (0.186)	Loss 4.9413 (5.0219)	Prec@1 6.250 (4.553)	Prec@5 16.797 (15.720)
Epoch: [7][4130/7045]	Time 0.340 (0.250)	Data 0.289 (0.186)	Loss 5.1392 (5.0219)	Prec@1 3.516 (4.553)	Prec@5 12.891 (15.719)
Epoch: [7][4140/7045]	Time 0.348 (0.250)	Data 0.297 (0.186)	Loss 5.0054 (5.0220)	Prec@1 5.078 (4.551)	Prec@5 14.844 (15.717)
Epoch: [7][4150/7045]	Time 0.197 (0.250)	Data 0.146 (0.186)	Loss 5.1284 (5.0222)	Prec@1 4.688 (4.550)	Prec@5 16.406 (15.713)
Epoch: [7][4160/7045]	Time 0.461 (0.250)	Data 0.404 (0.186)	Loss 5.0482 (5.0222)	Prec@1 4.297 (4.551)	Prec@5 14.062 (15.712)
Epoch: [7][4170/7045]	Time 0.101 (0.250)	Data 0.001 (0.186)	Loss 4.9601 (5.0221)	Prec@1 3.906 (4.550)	Prec@5 16.797 (15.710)
Epoch: [7][4180/7045]	Time 0.240 (0.250)	Data 0.189 (0.186)	Loss 4.9268 (5.0221)	Prec@1 5.859 (4.550)	Prec@5 19.531 (15.708)
Epoch: [7][4190/7045]	Time 0.101 (0.250)	Data 0.010 (0.186)	Loss 5.0147 (5.0222)	Prec@1 4.688 (4.551)	Prec@5 19.141 (15.709)
Epoch: [7][4200/7045]	Time 0.102 (0.250)	Data 0.008 (0.186)	Loss 5.0316 (5.0221)	Prec@1 7.812 (4.552)	Prec@5 16.797 (15.714)
Epoch: [7][4210/7045]	Time 0.101 (0.250)	Data 0.021 (0.186)	Loss 5.0825 (5.0222)	Prec@1 2.344 (4.552)	Prec@5 14.453 (15.712)
Epoch: [7][4220/7045]	Time 0.261 (0.250)	Data 0.202 (0.186)	Loss 4.9849 (5.0222)	Prec@1 5.078 (4.550)	Prec@5 16.016 (15.708)
Epoch: [7][4230/7045]	Time 0.234 (0.250)	Data 0.183 (0.186)	Loss 5.0167 (5.0221)	Prec@1 4.688 (4.552)	Prec@5 16.406 (15.711)
Epoch: [7][4240/7045]	Time 0.456 (0.250)	Data 0.406 (0.186)	Loss 5.0599 (5.0221)	Prec@1 4.297 (4.552)	Prec@5 13.672 (15.713)
Epoch: [7][4250/7045]	Time 0.139 (0.250)	Data 0.087 (0.186)	Loss 5.2077 (5.0219)	Prec@1 4.688 (4.551)	Prec@5 16.016 (15.717)
Epoch: [7][4260/7045]	Time 0.111 (0.250)	Data 0.009 (0.186)	Loss 5.0712 (5.0220)	Prec@1 4.297 (4.551)	Prec@5 14.453 (15.716)
Epoch: [7][4270/7045]	Time 0.251 (0.250)	Data 0.199 (0.186)	Loss 5.0445 (5.0221)	Prec@1 5.078 (4.551)	Prec@5 14.062 (15.718)
Epoch: [7][4280/7045]	Time 0.213 (0.250)	Data 0.159 (0.186)	Loss 4.9394 (5.0221)	Prec@1 4.297 (4.550)	Prec@5 14.453 (15.718)
Epoch: [7][4290/7045]	Time 0.530 (0.250)	Data 0.478 (0.186)	Loss 4.9606 (5.0219)	Prec@1 4.297 (4.551)	Prec@5 14.062 (15.720)
Epoch: [7][4300/7045]	Time 0.111 (0.250)	Data 0.016 (0.186)	Loss 5.1148 (5.0217)	Prec@1 4.297 (4.554)	Prec@5 14.844 (15.726)
Epoch: [7][4310/7045]	Time 0.474 (0.250)	Data 0.422 (0.186)	Loss 5.0079 (5.0217)	Prec@1 4.688 (4.553)	Prec@5 17.578 (15.725)
Epoch: [7][4320/7045]	Time 0.114 (0.249)	Data 0.063 (0.186)	Loss 4.9875 (5.0217)	Prec@1 3.516 (4.551)	Prec@5 16.797 (15.724)
Epoch: [7][4330/7045]	Time 0.402 (0.249)	Data 0.343 (0.186)	Loss 4.9911 (5.0216)	Prec@1 7.031 (4.553)	Prec@5 19.141 (15.728)
Epoch: [7][4340/7045]	Time 0.107 (0.249)	Data 0.055 (0.186)	Loss 5.1883 (5.0217)	Prec@1 4.297 (4.553)	Prec@5 13.281 (15.727)
Epoch: [7][4350/7045]	Time 0.382 (0.249)	Data 0.329 (0.186)	Loss 5.0216 (5.0217)	Prec@1 7.422 (4.554)	Prec@5 16.016 (15.727)
Epoch: [7][4360/7045]	Time 0.110 (0.249)	Data 0.056 (0.186)	Loss 4.9985 (5.0217)	Prec@1 5.859 (4.552)	Prec@5 17.969 (15.727)
Epoch: [7][4370/7045]	Time 0.296 (0.249)	Data 0.245 (0.186)	Loss 4.9161 (5.0216)	Prec@1 3.516 (4.552)	Prec@5 17.578 (15.727)
Epoch: [7][4380/7045]	Time 0.146 (0.249)	Data 0.092 (0.186)	Loss 5.1230 (5.0216)	Prec@1 3.516 (4.550)	Prec@5 13.281 (15.727)
Epoch: [7][4390/7045]	Time 0.306 (0.249)	Data 0.256 (0.186)	Loss 4.9812 (5.0216)	Prec@1 3.906 (4.551)	Prec@5 14.453 (15.725)
Epoch: [7][4400/7045]	Time 0.102 (0.249)	Data 0.050 (0.186)	Loss 4.8843 (5.0216)	Prec@1 5.078 (4.551)	Prec@5 17.578 (15.729)
Epoch: [7][4410/7045]	Time 0.387 (0.249)	Data 0.337 (0.186)	Loss 5.0572 (5.0216)	Prec@1 5.078 (4.551)	Prec@5 12.891 (15.729)
Epoch: [7][4420/7045]	Time 0.101 (0.249)	Data 0.001 (0.186)	Loss 5.0507 (5.0216)	Prec@1 4.297 (4.550)	Prec@5 12.500 (15.728)
Epoch: [7][4430/7045]	Time 0.110 (0.249)	Data 0.001 (0.186)	Loss 4.9439 (5.0215)	Prec@1 5.078 (4.551)	Prec@5 17.188 (15.732)
Epoch: [7][4440/7045]	Time 0.332 (0.249)	Data 0.280 (0.186)	Loss 4.8107 (5.0213)	Prec@1 7.422 (4.551)	Prec@5 19.531 (15.735)
Epoch: [7][4450/7045]	Time 0.105 (0.249)	Data 0.051 (0.186)	Loss 4.9563 (5.0212)	Prec@1 3.516 (4.552)	Prec@5 13.672 (15.738)
Epoch: [7][4460/7045]	Time 0.834 (0.250)	Data 0.782 (0.186)	Loss 5.0027 (5.0211)	Prec@1 3.125 (4.553)	Prec@5 16.016 (15.740)
Epoch: [7][4470/7045]	Time 0.102 (0.249)	Data 0.002 (0.186)	Loss 5.0227 (5.0210)	Prec@1 4.297 (4.553)	Prec@5 14.844 (15.741)
Epoch: [7][4480/7045]	Time 0.820 (0.250)	Data 0.768 (0.186)	Loss 4.9865 (5.0209)	Prec@1 3.906 (4.554)	Prec@5 15.234 (15.742)
Epoch: [7][4490/7045]	Time 0.209 (0.249)	Data 0.158 (0.186)	Loss 4.9198 (5.0209)	Prec@1 3.516 (4.553)	Prec@5 16.797 (15.740)
Epoch: [7][4500/7045]	Time 0.508 (0.249)	Data 0.457 (0.186)	Loss 4.9480 (5.0208)	Prec@1 3.516 (4.553)	Prec@5 17.969 (15.743)
Epoch: [7][4510/7045]	Time 0.117 (0.249)	Data 0.067 (0.186)	Loss 4.7925 (5.0206)	Prec@1 7.031 (4.554)	Prec@5 18.750 (15.746)
Epoch: [7][4520/7045]	Time 0.586 (0.249)	Data 0.527 (0.186)	Loss 5.0161 (5.0206)	Prec@1 5.078 (4.555)	Prec@5 14.453 (15.745)
Epoch: [7][4530/7045]	Time 0.255 (0.249)	Data 0.194 (0.186)	Loss 5.1290 (5.0206)	Prec@1 1.953 (4.556)	Prec@5 14.453 (15.746)
Epoch: [7][4540/7045]	Time 0.602 (0.249)	Data 0.551 (0.186)	Loss 5.1266 (5.0206)	Prec@1 4.297 (4.557)	Prec@5 14.453 (15.744)
Epoch: [7][4550/7045]	Time 0.362 (0.249)	Data 0.312 (0.186)	Loss 5.0543 (5.0206)	Prec@1 3.906 (4.556)	Prec@5 12.500 (15.742)
Epoch: [7][4560/7045]	Time 0.459 (0.249)	Data 0.408 (0.186)	Loss 4.9761 (5.0206)	Prec@1 3.906 (4.554)	Prec@5 14.453 (15.743)
Epoch: [7][4570/7045]	Time 0.107 (0.249)	Data 0.047 (0.186)	Loss 5.0027 (5.0206)	Prec@1 3.516 (4.554)	Prec@5 17.969 (15.743)
Epoch: [7][4580/7045]	Time 0.547 (0.249)	Data 0.495 (0.186)	Loss 5.0024 (5.0206)	Prec@1 6.250 (4.554)	Prec@5 14.062 (15.744)
Epoch: [7][4590/7045]	Time 0.257 (0.249)	Data 0.206 (0.186)	Loss 4.8061 (5.0206)	Prec@1 7.422 (4.555)	Prec@5 23.047 (15.748)
Epoch: [7][4600/7045]	Time 0.321 (0.249)	Data 0.270 (0.186)	Loss 5.1328 (5.0205)	Prec@1 5.469 (4.555)	Prec@5 18.359 (15.748)
Epoch: [7][4610/7045]	Time 0.417 (0.249)	Data 0.365 (0.186)	Loss 5.0327 (5.0207)	Prec@1 5.078 (4.555)	Prec@5 18.359 (15.747)
Epoch: [7][4620/7045]	Time 0.103 (0.249)	Data 0.052 (0.186)	Loss 5.0994 (5.0208)	Prec@1 2.734 (4.554)	Prec@5 15.234 (15.747)
Epoch: [7][4630/7045]	Time 0.267 (0.249)	Data 0.216 (0.186)	Loss 5.2375 (5.0209)	Prec@1 2.734 (4.554)	Prec@5 12.891 (15.744)
Epoch: [7][4640/7045]	Time 0.113 (0.249)	Data 0.061 (0.186)	Loss 4.9737 (5.0209)	Prec@1 4.688 (4.554)	Prec@5 18.750 (15.745)
Epoch: [7][4650/7045]	Time 0.173 (0.249)	Data 0.121 (0.186)	Loss 4.9889 (5.0208)	Prec@1 7.812 (4.554)	Prec@5 17.969 (15.746)
Epoch: [7][4660/7045]	Time 0.102 (0.249)	Data 0.041 (0.186)	Loss 4.9674 (5.0207)	Prec@1 6.641 (4.555)	Prec@5 14.844 (15.748)
Epoch: [7][4670/7045]	Time 0.101 (0.249)	Data 0.001 (0.186)	Loss 4.9855 (5.0207)	Prec@1 5.469 (4.555)	Prec@5 17.188 (15.748)
Epoch: [7][4680/7045]	Time 0.449 (0.249)	Data 0.399 (0.186)	Loss 5.0320 (5.0207)	Prec@1 6.641 (4.554)	Prec@5 17.969 (15.748)
Epoch: [7][4690/7045]	Time 0.196 (0.249)	Data 0.145 (0.186)	Loss 5.0776 (5.0208)	Prec@1 5.078 (4.552)	Prec@5 14.453 (15.743)
Epoch: [7][4700/7045]	Time 0.499 (0.249)	Data 0.448 (0.186)	Loss 4.9682 (5.0207)	Prec@1 5.859 (4.553)	Prec@5 19.141 (15.745)
Epoch: [7][4710/7045]	Time 0.359 (0.249)	Data 0.306 (0.186)	Loss 5.0452 (5.0206)	Prec@1 3.906 (4.553)	Prec@5 13.672 (15.747)
Epoch: [7][4720/7045]	Time 0.498 (0.249)	Data 0.447 (0.186)	Loss 5.0254 (5.0205)	Prec@1 1.953 (4.553)	Prec@5 13.672 (15.748)
Epoch: [7][4730/7045]	Time 0.212 (0.249)	Data 0.160 (0.186)	Loss 5.0879 (5.0205)	Prec@1 4.297 (4.552)	Prec@5 11.328 (15.747)
Epoch: [7][4740/7045]	Time 0.183 (0.249)	Data 0.124 (0.186)	Loss 5.0812 (5.0205)	Prec@1 5.859 (4.552)	Prec@5 16.797 (15.747)
Epoch: [7][4750/7045]	Time 0.102 (0.249)	Data 0.001 (0.186)	Loss 4.9484 (5.0205)	Prec@1 5.859 (4.555)	Prec@5 19.531 (15.750)
Epoch: [7][4760/7045]	Time 0.138 (0.249)	Data 0.086 (0.186)	Loss 4.9580 (5.0203)	Prec@1 2.734 (4.555)	Prec@5 16.406 (15.751)
Epoch: [7][4770/7045]	Time 0.103 (0.249)	Data 0.001 (0.186)	Loss 5.0785 (5.0203)	Prec@1 5.859 (4.555)	Prec@5 18.359 (15.751)
Epoch: [7][4780/7045]	Time 0.224 (0.249)	Data 0.174 (0.186)	Loss 5.0182 (5.0203)	Prec@1 2.734 (4.554)	Prec@5 10.938 (15.750)
Epoch: [7][4790/7045]	Time 0.102 (0.249)	Data 0.005 (0.186)	Loss 4.9597 (5.0203)	Prec@1 6.641 (4.555)	Prec@5 16.797 (15.751)
Epoch: [7][4800/7045]	Time 0.244 (0.249)	Data 0.192 (0.186)	Loss 4.9252 (5.0202)	Prec@1 5.078 (4.554)	Prec@5 15.625 (15.751)
Epoch: [7][4810/7045]	Time 0.102 (0.249)	Data 0.001 (0.186)	Loss 4.9475 (5.0200)	Prec@1 4.688 (4.555)	Prec@5 20.312 (15.754)
Epoch: [7][4820/7045]	Time 0.162 (0.249)	Data 0.110 (0.186)	Loss 4.9358 (5.0198)	Prec@1 3.906 (4.556)	Prec@5 13.672 (15.757)
Epoch: [7][4830/7045]	Time 0.102 (0.249)	Data 0.001 (0.186)	Loss 5.0459 (5.0197)	Prec@1 4.688 (4.556)	Prec@5 16.406 (15.761)
Epoch: [7][4840/7045]	Time 0.123 (0.249)	Data 0.070 (0.186)	Loss 4.9926 (5.0197)	Prec@1 4.688 (4.558)	Prec@5 15.625 (15.759)
Epoch: [7][4850/7045]	Time 0.122 (0.249)	Data 0.070 (0.186)	Loss 4.9470 (5.0197)	Prec@1 3.516 (4.557)	Prec@5 14.453 (15.759)
Epoch: [7][4860/7045]	Time 0.106 (0.249)	Data 0.054 (0.186)	Loss 5.0608 (5.0197)	Prec@1 2.734 (4.555)	Prec@5 12.891 (15.756)
Epoch: [7][4870/7045]	Time 0.102 (0.249)	Data 0.007 (0.186)	Loss 5.0593 (5.0198)	Prec@1 6.250 (4.554)	Prec@5 16.016 (15.755)
Epoch: [7][4880/7045]	Time 0.179 (0.249)	Data 0.128 (0.186)	Loss 5.0116 (5.0199)	Prec@1 5.469 (4.553)	Prec@5 17.188 (15.755)
Epoch: [7][4890/7045]	Time 0.102 (0.249)	Data 0.005 (0.186)	Loss 4.9848 (5.0199)	Prec@1 3.906 (4.552)	Prec@5 18.750 (15.754)
Epoch: [7][4900/7045]	Time 0.102 (0.249)	Data 0.016 (0.186)	Loss 5.1271 (5.0199)	Prec@1 3.906 (4.553)	Prec@5 16.797 (15.754)
Epoch: [7][4910/7045]	Time 0.189 (0.249)	Data 0.138 (0.186)	Loss 5.1194 (5.0200)	Prec@1 4.297 (4.552)	Prec@5 10.938 (15.750)
Epoch: [7][4920/7045]	Time 0.104 (0.249)	Data 0.051 (0.186)	Loss 4.9470 (5.0200)	Prec@1 6.250 (4.552)	Prec@5 19.922 (15.749)
Epoch: [7][4930/7045]	Time 0.346 (0.249)	Data 0.295 (0.186)	Loss 4.9425 (5.0200)	Prec@1 4.688 (4.552)	Prec@5 15.625 (15.747)
Epoch: [7][4940/7045]	Time 0.169 (0.249)	Data 0.119 (0.186)	Loss 4.9217 (5.0199)	Prec@1 4.297 (4.554)	Prec@5 16.797 (15.748)
Epoch: [7][4950/7045]	Time 0.205 (0.249)	Data 0.153 (0.186)	Loss 5.1053 (5.0199)	Prec@1 1.953 (4.553)	Prec@5 14.453 (15.748)
Epoch: [7][4960/7045]	Time 0.179 (0.249)	Data 0.128 (0.186)	Loss 4.9176 (5.0198)	Prec@1 5.078 (4.554)	Prec@5 16.797 (15.750)
Epoch: [7][4970/7045]	Time 0.378 (0.249)	Data 0.326 (0.186)	Loss 4.9992 (5.0198)	Prec@1 6.641 (4.555)	Prec@5 16.797 (15.753)
Epoch: [7][4980/7045]	Time 0.156 (0.249)	Data 0.095 (0.186)	Loss 4.9498 (5.0197)	Prec@1 6.641 (4.555)	Prec@5 19.531 (15.755)
Epoch: [7][4990/7045]	Time 0.230 (0.249)	Data 0.178 (0.186)	Loss 4.9685 (5.0196)	Prec@1 5.078 (4.557)	Prec@5 19.531 (15.759)
Epoch: [7][5000/7045]	Time 0.101 (0.249)	Data 0.042 (0.186)	Loss 5.0407 (5.0195)	Prec@1 3.516 (4.558)	Prec@5 17.578 (15.761)
Epoch: [7][5010/7045]	Time 0.112 (0.249)	Data 0.046 (0.186)	Loss 5.1046 (5.0194)	Prec@1 4.688 (4.558)	Prec@5 12.891 (15.761)
Epoch: [7][5020/7045]	Time 0.099 (0.249)	Data 0.046 (0.186)	Loss 5.1480 (5.0195)	Prec@1 2.344 (4.556)	Prec@5 10.547 (15.756)
Epoch: [7][5030/7045]	Time 0.211 (0.249)	Data 0.159 (0.186)	Loss 5.0811 (5.0196)	Prec@1 2.734 (4.557)	Prec@5 14.062 (15.755)
Epoch: [7][5040/7045]	Time 0.107 (0.249)	Data 0.055 (0.186)	Loss 4.9312 (5.0197)	Prec@1 4.688 (4.556)	Prec@5 14.844 (15.754)
Epoch: [7][5050/7045]	Time 0.102 (0.249)	Data 0.007 (0.186)	Loss 5.0046 (5.0197)	Prec@1 2.734 (4.556)	Prec@5 16.797 (15.754)
Epoch: [7][5060/7045]	Time 0.109 (0.249)	Data 0.058 (0.186)	Loss 5.1468 (5.0199)	Prec@1 4.688 (4.555)	Prec@5 16.406 (15.751)
Epoch: [7][5070/7045]	Time 0.102 (0.249)	Data 0.050 (0.186)	Loss 5.0634 (5.0200)	Prec@1 1.562 (4.553)	Prec@5 14.844 (15.749)
Epoch: [7][5080/7045]	Time 0.195 (0.249)	Data 0.143 (0.186)	Loss 5.0092 (5.0201)	Prec@1 3.125 (4.553)	Prec@5 15.625 (15.746)
Epoch: [7][5090/7045]	Time 0.261 (0.249)	Data 0.210 (0.186)	Loss 5.1654 (5.0202)	Prec@1 3.125 (4.551)	Prec@5 14.062 (15.744)
Epoch: [7][5100/7045]	Time 0.101 (0.249)	Data 0.001 (0.186)	Loss 5.0938 (5.0204)	Prec@1 5.078 (4.550)	Prec@5 17.578 (15.743)
Epoch: [7][5110/7045]	Time 0.332 (0.249)	Data 0.281 (0.186)	Loss 5.0960 (5.0203)	Prec@1 2.734 (4.550)	Prec@5 13.672 (15.746)
Epoch: [7][5120/7045]	Time 0.125 (0.249)	Data 0.074 (0.186)	Loss 5.0770 (5.0203)	Prec@1 5.078 (4.550)	Prec@5 17.969 (15.748)
Epoch: [7][5130/7045]	Time 0.375 (0.249)	Data 0.314 (0.186)	Loss 4.9291 (5.0203)	Prec@1 3.125 (4.549)	Prec@5 13.281 (15.746)
Epoch: [7][5140/7045]	Time 0.106 (0.249)	Data 0.053 (0.186)	Loss 5.1647 (5.0204)	Prec@1 2.734 (4.549)	Prec@5 14.062 (15.744)
Epoch: [7][5150/7045]	Time 0.761 (0.249)	Data 0.709 (0.186)	Loss 5.0591 (5.0204)	Prec@1 1.953 (4.548)	Prec@5 13.281 (15.744)
Epoch: [7][5160/7045]	Time 0.108 (0.249)	Data 0.056 (0.186)	Loss 5.0036 (5.0203)	Prec@1 5.469 (4.548)	Prec@5 18.750 (15.747)
Epoch: [7][5170/7045]	Time 0.176 (0.249)	Data 0.125 (0.186)	Loss 4.8679 (5.0203)	Prec@1 4.688 (4.549)	Prec@5 18.750 (15.748)
Epoch: [7][5180/7045]	Time 0.195 (0.249)	Data 0.143 (0.186)	Loss 4.9887 (5.0201)	Prec@1 7.812 (4.552)	Prec@5 19.922 (15.750)
Epoch: [7][5190/7045]	Time 0.145 (0.249)	Data 0.094 (0.186)	Loss 5.0438 (5.0202)	Prec@1 3.516 (4.552)	Prec@5 16.016 (15.747)
Epoch: [7][5200/7045]	Time 0.217 (0.249)	Data 0.166 (0.186)	Loss 5.2516 (5.0205)	Prec@1 3.906 (4.550)	Prec@5 12.891 (15.741)
Epoch: [7][5210/7045]	Time 0.398 (0.249)	Data 0.346 (0.186)	Loss 5.3279 (5.0210)	Prec@1 2.734 (4.546)	Prec@5 8.984 (15.733)
Epoch: [7][5220/7045]	Time 0.109 (0.249)	Data 0.056 (0.186)	Loss 5.2801 (5.0212)	Prec@1 3.516 (4.544)	Prec@5 11.328 (15.727)
Epoch: [7][5230/7045]	Time 0.158 (0.249)	Data 0.108 (0.186)	Loss 5.0883 (5.0214)	Prec@1 2.344 (4.544)	Prec@5 12.500 (15.724)
Epoch: [7][5240/7045]	Time 0.102 (0.249)	Data 0.001 (0.186)	Loss 4.9836 (5.0215)	Prec@1 4.688 (4.544)	Prec@5 16.016 (15.722)
Epoch: [7][5250/7045]	Time 0.104 (0.249)	Data 0.052 (0.186)	Loss 4.9972 (5.0214)	Prec@1 4.297 (4.545)	Prec@5 18.750 (15.725)
Epoch: [7][5260/7045]	Time 0.153 (0.249)	Data 0.103 (0.186)	Loss 5.0649 (5.0215)	Prec@1 6.250 (4.544)	Prec@5 15.234 (15.725)
Epoch: [7][5270/7045]	Time 0.102 (0.249)	Data 0.001 (0.186)	Loss 5.0116 (5.0216)	Prec@1 2.734 (4.543)	Prec@5 13.672 (15.723)
Epoch: [7][5280/7045]	Time 0.404 (0.249)	Data 0.352 (0.186)	Loss 4.8447 (5.0216)	Prec@1 5.469 (4.544)	Prec@5 18.750 (15.724)
Epoch: [7][5290/7045]	Time 0.395 (0.249)	Data 0.344 (0.186)	Loss 4.9373 (5.0216)	Prec@1 6.641 (4.544)	Prec@5 19.531 (15.724)
Epoch: [7][5300/7045]	Time 0.160 (0.249)	Data 0.103 (0.186)	Loss 4.9627 (5.0216)	Prec@1 3.125 (4.544)	Prec@5 15.625 (15.724)
Epoch: [7][5310/7045]	Time 0.108 (0.249)	Data 0.056 (0.186)	Loss 5.4056 (5.0217)	Prec@1 1.172 (4.542)	Prec@5 9.375 (15.722)
Epoch: [7][5320/7045]	Time 0.106 (0.249)	Data 0.054 (0.186)	Loss 5.0332 (5.0216)	Prec@1 3.906 (4.542)	Prec@5 16.016 (15.722)
Epoch: [7][5330/7045]	Time 0.138 (0.249)	Data 0.086 (0.186)	Loss 5.0215 (5.0216)	Prec@1 5.078 (4.542)	Prec@5 17.969 (15.723)
Epoch: [7][5340/7045]	Time 0.108 (0.249)	Data 0.056 (0.186)	Loss 5.1767 (5.0218)	Prec@1 3.906 (4.541)	Prec@5 12.109 (15.720)
Epoch: [7][5350/7045]	Time 0.307 (0.249)	Data 0.256 (0.186)	Loss 5.0369 (5.0218)	Prec@1 3.125 (4.540)	Prec@5 14.844 (15.719)
Epoch: [7][5360/7045]	Time 0.103 (0.249)	Data 0.009 (0.186)	Loss 5.0073 (5.0218)	Prec@1 4.297 (4.540)	Prec@5 15.625 (15.720)
Epoch: [7][5370/7045]	Time 0.505 (0.249)	Data 0.455 (0.186)	Loss 5.1381 (5.0219)	Prec@1 2.734 (4.539)	Prec@5 17.578 (15.720)
Epoch: [7][5380/7045]	Time 0.274 (0.249)	Data 0.224 (0.186)	Loss 4.9786 (5.0219)	Prec@1 3.906 (4.538)	Prec@5 17.578 (15.720)
Epoch: [7][5390/7045]	Time 0.550 (0.249)	Data 0.499 (0.186)	Loss 5.1046 (5.0221)	Prec@1 2.344 (4.536)	Prec@5 13.281 (15.717)
Epoch: [7][5400/7045]	Time 0.147 (0.249)	Data 0.096 (0.186)	Loss 5.0867 (5.0221)	Prec@1 3.906 (4.537)	Prec@5 15.234 (15.716)
Epoch: [7][5410/7045]	Time 0.361 (0.249)	Data 0.309 (0.186)	Loss 4.9050 (5.0220)	Prec@1 6.641 (4.538)	Prec@5 18.359 (15.716)
Epoch: [7][5420/7045]	Time 0.180 (0.249)	Data 0.129 (0.186)	Loss 5.0679 (5.0221)	Prec@1 5.469 (4.539)	Prec@5 16.016 (15.718)
Epoch: [7][5430/7045]	Time 0.254 (0.249)	Data 0.201 (0.186)	Loss 5.1759 (5.0220)	Prec@1 5.469 (4.539)	Prec@5 15.625 (15.719)
Epoch: [7][5440/7045]	Time 0.112 (0.249)	Data 0.061 (0.186)	Loss 4.9283 (5.0220)	Prec@1 5.469 (4.538)	Prec@5 17.969 (15.719)
Epoch: [7][5450/7045]	Time 0.101 (0.249)	Data 0.008 (0.186)	Loss 5.0355 (5.0221)	Prec@1 5.078 (4.538)	Prec@5 15.625 (15.717)
Epoch: [7][5460/7045]	Time 0.218 (0.249)	Data 0.166 (0.186)	Loss 5.1081 (5.0221)	Prec@1 5.078 (4.538)	Prec@5 16.797 (15.717)
Epoch: [7][5470/7045]	Time 0.101 (0.249)	Data 0.016 (0.186)	Loss 4.9614 (5.0221)	Prec@1 3.906 (4.538)	Prec@5 15.234 (15.715)
Epoch: [7][5480/7045]	Time 0.108 (0.249)	Data 0.056 (0.186)	Loss 5.1025 (5.0221)	Prec@1 4.297 (4.536)	Prec@5 12.500 (15.713)
Epoch: [7][5490/7045]	Time 0.101 (0.249)	Data 0.020 (0.186)	Loss 5.0091 (5.0223)	Prec@1 3.906 (4.535)	Prec@5 16.406 (15.711)
Epoch: [7][5500/7045]	Time 0.208 (0.249)	Data 0.157 (0.186)	Loss 5.0777 (5.0223)	Prec@1 3.125 (4.535)	Prec@5 14.062 (15.708)
Epoch: [7][5510/7045]	Time 0.102 (0.249)	Data 0.021 (0.186)	Loss 5.1810 (5.0223)	Prec@1 5.078 (4.535)	Prec@5 14.453 (15.709)
Epoch: [7][5520/7045]	Time 0.101 (0.249)	Data 0.010 (0.186)	Loss 5.0906 (5.0224)	Prec@1 3.906 (4.536)	Prec@5 14.453 (15.709)
Epoch: [7][5530/7045]	Time 0.105 (0.249)	Data 0.054 (0.186)	Loss 4.9793 (5.0223)	Prec@1 6.250 (4.537)	Prec@5 14.453 (15.710)
Epoch: [7][5540/7045]	Time 0.393 (0.249)	Data 0.342 (0.186)	Loss 5.0814 (5.0223)	Prec@1 3.906 (4.537)	Prec@5 12.109 (15.710)
Epoch: [7][5550/7045]	Time 0.330 (0.249)	Data 0.280 (0.186)	Loss 4.9922 (5.0223)	Prec@1 5.078 (4.537)	Prec@5 19.141 (15.711)
Epoch: [7][5560/7045]	Time 0.482 (0.249)	Data 0.431 (0.186)	Loss 5.0422 (5.0223)	Prec@1 4.688 (4.536)	Prec@5 15.625 (15.709)
Epoch: [7][5570/7045]	Time 0.309 (0.249)	Data 0.257 (0.186)	Loss 4.8165 (5.0222)	Prec@1 5.859 (4.538)	Prec@5 17.188 (15.712)
Epoch: [7][5580/7045]	Time 0.351 (0.249)	Data 0.300 (0.186)	Loss 5.1106 (5.0222)	Prec@1 2.344 (4.539)	Prec@5 15.234 (15.713)
Epoch: [7][5590/7045]	Time 0.102 (0.249)	Data 0.004 (0.186)	Loss 5.0959 (5.0222)	Prec@1 2.734 (4.538)	Prec@5 14.844 (15.713)
Epoch: [7][5600/7045]	Time 0.470 (0.249)	Data 0.418 (0.186)	Loss 4.9996 (5.0221)	Prec@1 4.688 (4.540)	Prec@5 17.578 (15.715)
Epoch: [7][5610/7045]	Time 0.175 (0.249)	Data 0.124 (0.186)	Loss 5.0316 (5.0221)	Prec@1 2.734 (4.540)	Prec@5 16.016 (15.715)
Epoch: [7][5620/7045]	Time 0.351 (0.249)	Data 0.299 (0.186)	Loss 5.0876 (5.0221)	Prec@1 5.469 (4.540)	Prec@5 17.188 (15.715)
Epoch: [7][5630/7045]	Time 0.122 (0.249)	Data 0.071 (0.186)	Loss 4.9386 (5.0221)	Prec@1 5.469 (4.540)	Prec@5 21.875 (15.716)
Epoch: [7][5640/7045]	Time 0.292 (0.249)	Data 0.242 (0.186)	Loss 5.0064 (5.0221)	Prec@1 4.688 (4.541)	Prec@5 19.141 (15.717)
Epoch: [7][5650/7045]	Time 0.109 (0.249)	Data 0.058 (0.186)	Loss 5.1810 (5.0220)	Prec@1 3.906 (4.541)	Prec@5 10.547 (15.717)
Epoch: [7][5660/7045]	Time 0.117 (0.249)	Data 0.065 (0.186)	Loss 4.8941 (5.0219)	Prec@1 5.859 (4.541)	Prec@5 20.703 (15.721)
Epoch: [7][5670/7045]	Time 0.102 (0.249)	Data 0.001 (0.186)	Loss 5.0752 (5.0219)	Prec@1 5.469 (4.543)	Prec@5 17.188 (15.723)
Epoch: [7][5680/7045]	Time 0.116 (0.249)	Data 0.058 (0.186)	Loss 5.1334 (5.0219)	Prec@1 4.688 (4.543)	Prec@5 14.453 (15.724)
Epoch: [7][5690/7045]	Time 0.102 (0.249)	Data 0.001 (0.186)	Loss 5.0494 (5.0219)	Prec@1 3.516 (4.544)	Prec@5 17.188 (15.725)
Epoch: [7][5700/7045]	Time 0.181 (0.249)	Data 0.122 (0.186)	Loss 5.0866 (5.0219)	Prec@1 4.297 (4.544)	Prec@5 16.406 (15.727)
Epoch: [7][5710/7045]	Time 0.103 (0.249)	Data 0.001 (0.186)	Loss 4.9611 (5.0219)	Prec@1 8.203 (4.545)	Prec@5 18.359 (15.727)
Epoch: [7][5720/7045]	Time 0.184 (0.249)	Data 0.134 (0.186)	Loss 4.9871 (5.0219)	Prec@1 5.469 (4.545)	Prec@5 17.969 (15.728)
Epoch: [7][5730/7045]	Time 0.110 (0.249)	Data 0.060 (0.186)	Loss 4.9887 (5.0220)	Prec@1 3.125 (4.545)	Prec@5 15.625 (15.726)
Epoch: [7][5740/7045]	Time 0.280 (0.249)	Data 0.230 (0.186)	Loss 5.0997 (5.0221)	Prec@1 3.516 (4.545)	Prec@5 13.281 (15.725)
Epoch: [7][5750/7045]	Time 0.296 (0.249)	Data 0.245 (0.186)	Loss 4.7757 (5.0220)	Prec@1 5.859 (4.545)	Prec@5 18.359 (15.727)
Epoch: [7][5760/7045]	Time 0.104 (0.249)	Data 0.052 (0.186)	Loss 4.8985 (5.0220)	Prec@1 4.297 (4.547)	Prec@5 17.578 (15.728)
Epoch: [7][5770/7045]	Time 0.479 (0.249)	Data 0.429 (0.186)	Loss 4.9543 (5.0220)	Prec@1 6.641 (4.547)	Prec@5 19.531 (15.727)
Epoch: [7][5780/7045]	Time 0.278 (0.249)	Data 0.227 (0.186)	Loss 5.1178 (5.0222)	Prec@1 5.859 (4.547)	Prec@5 13.672 (15.725)
Epoch: [7][5790/7045]	Time 0.554 (0.249)	Data 0.503 (0.186)	Loss 5.1011 (5.0222)	Prec@1 2.734 (4.547)	Prec@5 13.281 (15.724)
Epoch: [7][5800/7045]	Time 0.238 (0.249)	Data 0.187 (0.186)	Loss 4.8388 (5.0223)	Prec@1 5.859 (4.546)	Prec@5 25.000 (15.726)
Epoch: [7][5810/7045]	Time 0.289 (0.249)	Data 0.238 (0.186)	Loss 5.1315 (5.0223)	Prec@1 3.516 (4.546)	Prec@5 11.328 (15.724)
Epoch: [7][5820/7045]	Time 0.106 (0.249)	Data 0.053 (0.186)	Loss 5.0418 (5.0224)	Prec@1 5.469 (4.545)	Prec@5 14.453 (15.723)
Epoch: [7][5830/7045]	Time 0.100 (0.249)	Data 0.013 (0.186)	Loss 4.9913 (5.0224)	Prec@1 6.250 (4.545)	Prec@5 16.406 (15.723)
Epoch: [7][5840/7045]	Time 0.473 (0.249)	Data 0.422 (0.186)	Loss 5.1211 (5.0225)	Prec@1 4.297 (4.546)	Prec@5 15.625 (15.721)
Epoch: [7][5850/7045]	Time 0.221 (0.249)	Data 0.162 (0.186)	Loss 4.9898 (5.0224)	Prec@1 4.297 (4.545)	Prec@5 14.062 (15.721)
Epoch: [7][5860/7045]	Time 0.561 (0.249)	Data 0.510 (0.186)	Loss 5.2325 (5.0224)	Prec@1 3.125 (4.546)	Prec@5 11.328 (15.722)
Epoch: [7][5870/7045]	Time 0.374 (0.249)	Data 0.322 (0.186)	Loss 4.9398 (5.0226)	Prec@1 6.250 (4.545)	Prec@5 15.625 (15.718)
Epoch: [7][5880/7045]	Time 0.159 (0.249)	Data 0.108 (0.186)	Loss 5.1798 (5.0227)	Prec@1 4.297 (4.544)	Prec@5 15.625 (15.718)
Epoch: [7][5890/7045]	Time 0.489 (0.249)	Data 0.439 (0.186)	Loss 4.8813 (5.0227)	Prec@1 6.641 (4.544)	Prec@5 14.844 (15.716)
Epoch: [7][5900/7045]	Time 0.112 (0.249)	Data 0.052 (0.186)	Loss 5.0667 (5.0227)	Prec@1 4.297 (4.543)	Prec@5 14.844 (15.716)
Epoch: [7][5910/7045]	Time 0.556 (0.249)	Data 0.504 (0.186)	Loss 5.0283 (5.0225)	Prec@1 4.297 (4.544)	Prec@5 16.016 (15.718)
Epoch: [7][5920/7045]	Time 0.109 (0.249)	Data 0.058 (0.186)	Loss 4.9343 (5.0224)	Prec@1 3.125 (4.545)	Prec@5 14.844 (15.719)
Epoch: [7][5930/7045]	Time 0.410 (0.249)	Data 0.357 (0.186)	Loss 5.0057 (5.0224)	Prec@1 3.906 (4.544)	Prec@5 14.453 (15.718)
Epoch: [7][5940/7045]	Time 0.102 (0.249)	Data 0.049 (0.186)	Loss 4.9449 (5.0224)	Prec@1 7.422 (4.545)	Prec@5 19.531 (15.718)
Epoch: [7][5950/7045]	Time 0.170 (0.249)	Data 0.109 (0.186)	Loss 4.8834 (5.0223)	Prec@1 5.469 (4.545)	Prec@5 17.188 (15.720)
Epoch: [7][5960/7045]	Time 0.101 (0.249)	Data 0.001 (0.186)	Loss 4.9429 (5.0222)	Prec@1 6.250 (4.546)	Prec@5 18.750 (15.722)
Epoch: [7][5970/7045]	Time 0.164 (0.249)	Data 0.112 (0.186)	Loss 5.0602 (5.0222)	Prec@1 5.469 (4.547)	Prec@5 14.453 (15.723)
Epoch: [7][5980/7045]	Time 0.103 (0.249)	Data 0.009 (0.186)	Loss 5.0800 (5.0222)	Prec@1 4.688 (4.547)	Prec@5 15.625 (15.723)
Epoch: [7][5990/7045]	Time 0.102 (0.249)	Data 0.005 (0.186)	Loss 4.9173 (5.0222)	Prec@1 3.516 (4.546)	Prec@5 14.844 (15.722)
Epoch: [7][6000/7045]	Time 0.115 (0.249)	Data 0.062 (0.186)	Loss 5.0039 (5.0222)	Prec@1 3.906 (4.547)	Prec@5 14.453 (15.723)
Epoch: [7][6010/7045]	Time 0.492 (0.249)	Data 0.440 (0.186)	Loss 5.0384 (5.0221)	Prec@1 6.641 (4.548)	Prec@5 17.969 (15.725)
Epoch: [7][6020/7045]	Time 0.101 (0.249)	Data 0.049 (0.186)	Loss 4.9519 (5.0221)	Prec@1 4.688 (4.548)	Prec@5 18.750 (15.727)
Epoch: [7][6030/7045]	Time 0.481 (0.249)	Data 0.429 (0.186)	Loss 4.9827 (5.0221)	Prec@1 5.078 (4.549)	Prec@5 15.234 (15.728)
Epoch: [7][6040/7045]	Time 0.102 (0.249)	Data 0.021 (0.186)	Loss 5.1037 (5.0222)	Prec@1 4.688 (4.549)	Prec@5 17.188 (15.728)
Epoch: [7][6050/7045]	Time 0.391 (0.249)	Data 0.340 (0.186)	Loss 5.0052 (5.0221)	Prec@1 3.516 (4.549)	Prec@5 19.531 (15.731)
Epoch: [7][6060/7045]	Time 0.100 (0.249)	Data 0.001 (0.186)	Loss 5.0276 (5.0221)	Prec@1 5.469 (4.550)	Prec@5 13.672 (15.734)
Epoch: [7][6070/7045]	Time 0.238 (0.249)	Data 0.186 (0.186)	Loss 5.1355 (5.0222)	Prec@1 3.906 (4.548)	Prec@5 14.844 (15.733)
Epoch: [7][6080/7045]	Time 0.099 (0.249)	Data 0.046 (0.186)	Loss 5.0216 (5.0222)	Prec@1 3.125 (4.549)	Prec@5 15.234 (15.733)
Epoch: [7][6090/7045]	Time 0.355 (0.249)	Data 0.304 (0.186)	Loss 4.9302 (5.0222)	Prec@1 3.906 (4.548)	Prec@5 16.797 (15.732)
Epoch: [7][6100/7045]	Time 0.102 (0.249)	Data 0.008 (0.186)	Loss 5.1386 (5.0223)	Prec@1 3.516 (4.548)	Prec@5 11.719 (15.732)
Epoch: [7][6110/7045]	Time 0.517 (0.249)	Data 0.466 (0.186)	Loss 4.7443 (5.0222)	Prec@1 6.641 (4.549)	Prec@5 21.094 (15.734)
Epoch: [7][6120/7045]	Time 0.101 (0.249)	Data 0.013 (0.186)	Loss 4.9396 (5.0222)	Prec@1 4.688 (4.549)	Prec@5 17.578 (15.734)
Epoch: [7][6130/7045]	Time 0.368 (0.249)	Data 0.315 (0.186)	Loss 5.0622 (5.0221)	Prec@1 1.953 (4.550)	Prec@5 13.672 (15.736)
Epoch: [7][6140/7045]	Time 0.100 (0.249)	Data 0.046 (0.186)	Loss 4.9023 (5.0221)	Prec@1 5.859 (4.551)	Prec@5 19.531 (15.735)
Epoch: [7][6150/7045]	Time 0.268 (0.249)	Data 0.209 (0.186)	Loss 5.0822 (5.0220)	Prec@1 3.125 (4.551)	Prec@5 10.156 (15.735)
Epoch: [7][6160/7045]	Time 0.113 (0.249)	Data 0.061 (0.186)	Loss 4.8661 (5.0219)	Prec@1 7.422 (4.552)	Prec@5 23.828 (15.739)
Epoch: [7][6170/7045]	Time 0.537 (0.249)	Data 0.484 (0.186)	Loss 5.0461 (5.0220)	Prec@1 5.469 (4.553)	Prec@5 16.406 (15.740)
Epoch: [7][6180/7045]	Time 0.178 (0.249)	Data 0.127 (0.186)	Loss 4.9783 (5.0220)	Prec@1 2.344 (4.552)	Prec@5 11.328 (15.740)
Epoch: [7][6190/7045]	Time 0.396 (0.249)	Data 0.345 (0.186)	Loss 4.9333 (5.0220)	Prec@1 5.859 (4.553)	Prec@5 18.359 (15.741)
Epoch: [7][6200/7045]	Time 0.272 (0.249)	Data 0.215 (0.186)	Loss 4.9313 (5.0220)	Prec@1 3.906 (4.553)	Prec@5 16.406 (15.741)
Epoch: [7][6210/7045]	Time 0.440 (0.249)	Data 0.389 (0.186)	Loss 4.9910 (5.0220)	Prec@1 3.516 (4.552)	Prec@5 13.672 (15.739)
Epoch: [7][6220/7045]	Time 0.239 (0.249)	Data 0.187 (0.186)	Loss 5.0148 (5.0220)	Prec@1 6.250 (4.551)	Prec@5 14.453 (15.737)
Epoch: [7][6230/7045]	Time 0.396 (0.249)	Data 0.343 (0.186)	Loss 5.1111 (5.0221)	Prec@1 4.688 (4.551)	Prec@5 14.453 (15.736)
Epoch: [7][6240/7045]	Time 0.104 (0.249)	Data 0.053 (0.186)	Loss 4.9735 (5.0220)	Prec@1 6.250 (4.552)	Prec@5 14.062 (15.738)
Epoch: [7][6250/7045]	Time 0.344 (0.249)	Data 0.292 (0.186)	Loss 5.0810 (5.0220)	Prec@1 5.469 (4.553)	Prec@5 14.062 (15.737)
Epoch: [7][6260/7045]	Time 0.622 (0.249)	Data 0.570 (0.186)	Loss 4.9181 (5.0220)	Prec@1 6.250 (4.553)	Prec@5 17.188 (15.737)
Epoch: [7][6270/7045]	Time 0.102 (0.249)	Data 0.002 (0.186)	Loss 4.8983 (5.0219)	Prec@1 3.125 (4.555)	Prec@5 16.406 (15.738)
Epoch: [7][6280/7045]	Time 0.674 (0.249)	Data 0.623 (0.186)	Loss 5.0191 (5.0218)	Prec@1 3.906 (4.555)	Prec@5 13.281 (15.740)
Epoch: [7][6290/7045]	Time 0.102 (0.249)	Data 0.008 (0.186)	Loss 5.0010 (5.0218)	Prec@1 4.297 (4.554)	Prec@5 16.406 (15.739)
Epoch: [7][6300/7045]	Time 0.487 (0.249)	Data 0.437 (0.186)	Loss 5.1088 (5.0218)	Prec@1 3.516 (4.554)	Prec@5 13.281 (15.739)
Epoch: [7][6310/7045]	Time 0.108 (0.249)	Data 0.013 (0.186)	Loss 5.0366 (5.0218)	Prec@1 5.078 (4.554)	Prec@5 16.797 (15.739)
Epoch: [7][6320/7045]	Time 0.504 (0.249)	Data 0.443 (0.186)	Loss 4.9537 (5.0218)	Prec@1 4.688 (4.553)	Prec@5 17.969 (15.740)
Epoch: [7][6330/7045]	Time 0.118 (0.249)	Data 0.057 (0.186)	Loss 5.0018 (5.0218)	Prec@1 5.859 (4.553)	Prec@5 17.188 (15.742)
Epoch: [7][6340/7045]	Time 0.760 (0.249)	Data 0.709 (0.186)	Loss 4.9638 (5.0217)	Prec@1 8.594 (4.555)	Prec@5 17.188 (15.745)
Epoch: [7][6350/7045]	Time 0.101 (0.249)	Data 0.001 (0.186)	Loss 5.1165 (5.0218)	Prec@1 4.297 (4.555)	Prec@5 13.672 (15.744)
Epoch: [7][6360/7045]	Time 0.647 (0.249)	Data 0.589 (0.186)	Loss 4.9536 (5.0217)	Prec@1 5.078 (4.555)	Prec@5 19.531 (15.745)
Epoch: [7][6370/7045]	Time 0.103 (0.249)	Data 0.001 (0.186)	Loss 5.1480 (5.0218)	Prec@1 2.734 (4.555)	Prec@5 13.281 (15.745)
Epoch: [7][6380/7045]	Time 0.396 (0.249)	Data 0.345 (0.186)	Loss 5.2118 (5.0219)	Prec@1 5.859 (4.554)	Prec@5 13.672 (15.743)
Epoch: [7][6390/7045]	Time 0.177 (0.249)	Data 0.126 (0.186)	Loss 5.0902 (5.0221)	Prec@1 4.297 (4.554)	Prec@5 14.453 (15.741)
Epoch: [7][6400/7045]	Time 0.354 (0.249)	Data 0.304 (0.186)	Loss 5.0214 (5.0222)	Prec@1 4.297 (4.553)	Prec@5 17.188 (15.739)
Epoch: [7][6410/7045]	Time 0.269 (0.249)	Data 0.216 (0.186)	Loss 5.0353 (5.0221)	Prec@1 6.250 (4.554)	Prec@5 17.188 (15.741)
Epoch: [7][6420/7045]	Time 0.202 (0.249)	Data 0.150 (0.186)	Loss 4.9318 (5.0219)	Prec@1 3.516 (4.554)	Prec@5 16.797 (15.744)
Epoch: [7][6430/7045]	Time 0.357 (0.249)	Data 0.306 (0.186)	Loss 5.0540 (5.0219)	Prec@1 4.688 (4.555)	Prec@5 16.797 (15.745)
Epoch: [7][6440/7045]	Time 0.102 (0.249)	Data 0.020 (0.186)	Loss 5.0167 (5.0220)	Prec@1 3.906 (4.555)	Prec@5 15.625 (15.745)
Epoch: [7][6450/7045]	Time 0.580 (0.249)	Data 0.528 (0.186)	Loss 5.1365 (5.0219)	Prec@1 3.516 (4.556)	Prec@5 12.891 (15.746)
Epoch: [7][6460/7045]	Time 0.100 (0.249)	Data 0.003 (0.186)	Loss 5.0076 (5.0219)	Prec@1 4.297 (4.556)	Prec@5 14.844 (15.745)
Epoch: [7][6470/7045]	Time 0.122 (0.249)	Data 0.070 (0.186)	Loss 5.1403 (5.0220)	Prec@1 3.906 (4.555)	Prec@5 16.016 (15.744)
Epoch: [7][6480/7045]	Time 0.138 (0.249)	Data 0.085 (0.186)	Loss 5.0002 (5.0220)	Prec@1 5.078 (4.556)	Prec@5 14.844 (15.743)
Epoch: [7][6490/7045]	Time 0.108 (0.249)	Data 0.056 (0.186)	Loss 5.0635 (5.0219)	Prec@1 5.078 (4.557)	Prec@5 15.625 (15.746)
Epoch: [7][6500/7045]	Time 0.102 (0.249)	Data 0.019 (0.186)	Loss 4.9026 (5.0219)	Prec@1 4.297 (4.556)	Prec@5 17.578 (15.744)
Epoch: [7][6510/7045]	Time 0.111 (0.249)	Data 0.058 (0.186)	Loss 4.9858 (5.0218)	Prec@1 3.125 (4.556)	Prec@5 17.578 (15.746)
Epoch: [7][6520/7045]	Time 0.106 (0.249)	Data 0.054 (0.186)	Loss 4.8873 (5.0219)	Prec@1 5.078 (4.556)	Prec@5 21.094 (15.746)
Epoch: [7][6530/7045]	Time 0.254 (0.249)	Data 0.202 (0.186)	Loss 5.0168 (5.0219)	Prec@1 4.688 (4.556)	Prec@5 14.062 (15.746)
Epoch: [7][6540/7045]	Time 0.428 (0.249)	Data 0.376 (0.186)	Loss 5.0751 (5.0219)	Prec@1 3.516 (4.556)	Prec@5 13.281 (15.745)
Epoch: [7][6550/7045]	Time 0.221 (0.249)	Data 0.170 (0.186)	Loss 4.9453 (5.0218)	Prec@1 3.906 (4.556)	Prec@5 15.234 (15.746)
Epoch: [7][6560/7045]	Time 0.495 (0.249)	Data 0.445 (0.186)	Loss 5.1386 (5.0219)	Prec@1 2.344 (4.555)	Prec@5 16.016 (15.743)
Epoch: [7][6570/7045]	Time 0.419 (0.249)	Data 0.368 (0.186)	Loss 5.0837 (5.0221)	Prec@1 3.516 (4.553)	Prec@5 13.281 (15.740)
Epoch: [7][6580/7045]	Time 0.222 (0.249)	Data 0.160 (0.186)	Loss 5.1337 (5.0221)	Prec@1 7.031 (4.553)	Prec@5 16.406 (15.740)
Epoch: [7][6590/7045]	Time 0.603 (0.249)	Data 0.551 (0.186)	Loss 4.9699 (5.0221)	Prec@1 3.516 (4.553)	Prec@5 14.844 (15.740)
Epoch: [7][6600/7045]	Time 0.154 (0.249)	Data 0.095 (0.186)	Loss 5.0712 (5.0220)	Prec@1 3.906 (4.552)	Prec@5 15.234 (15.741)
Epoch: [7][6610/7045]	Time 0.819 (0.249)	Data 0.768 (0.186)	Loss 5.0598 (5.0220)	Prec@1 3.516 (4.552)	Prec@5 11.328 (15.738)
Epoch: [7][6620/7045]	Time 0.168 (0.249)	Data 0.116 (0.186)	Loss 4.9663 (5.0220)	Prec@1 5.859 (4.553)	Prec@5 18.750 (15.739)
Epoch: [7][6630/7045]	Time 0.620 (0.249)	Data 0.567 (0.186)	Loss 4.9480 (5.0219)	Prec@1 4.297 (4.553)	Prec@5 17.578 (15.740)
Epoch: [7][6640/7045]	Time 0.118 (0.249)	Data 0.067 (0.186)	Loss 4.8475 (5.0218)	Prec@1 5.078 (4.555)	Prec@5 18.750 (15.743)
Epoch: [7][6650/7045]	Time 0.604 (0.249)	Data 0.544 (0.186)	Loss 5.0425 (5.0218)	Prec@1 4.297 (4.555)	Prec@5 14.062 (15.744)
Epoch: [7][6660/7045]	Time 0.102 (0.249)	Data 0.001 (0.186)	Loss 5.0401 (5.0219)	Prec@1 3.906 (4.555)	Prec@5 14.453 (15.743)
Epoch: [7][6670/7045]	Time 0.578 (0.249)	Data 0.523 (0.186)	Loss 5.0438 (5.0218)	Prec@1 3.516 (4.556)	Prec@5 15.625 (15.746)
Epoch: [7][6680/7045]	Time 0.101 (0.249)	Data 0.001 (0.186)	Loss 5.0681 (5.0218)	Prec@1 3.906 (4.556)	Prec@5 14.062 (15.745)
Epoch: [7][6690/7045]	Time 0.166 (0.249)	Data 0.115 (0.186)	Loss 5.0621 (5.0218)	Prec@1 3.125 (4.556)	Prec@5 14.453 (15.744)
Epoch: [7][6700/7045]	Time 0.102 (0.249)	Data 0.001 (0.186)	Loss 4.8917 (5.0219)	Prec@1 4.688 (4.556)	Prec@5 18.359 (15.743)
Epoch: [7][6710/7045]	Time 0.101 (0.249)	Data 0.048 (0.186)	Loss 4.8724 (5.0219)	Prec@1 6.641 (4.556)	Prec@5 17.578 (15.743)
Epoch: [7][6720/7045]	Time 0.102 (0.249)	Data 0.003 (0.186)	Loss 5.1249 (5.0220)	Prec@1 4.297 (4.556)	Prec@5 14.844 (15.742)
Epoch: [7][6730/7045]	Time 0.260 (0.249)	Data 0.209 (0.186)	Loss 5.1015 (5.0219)	Prec@1 4.297 (4.555)	Prec@5 11.719 (15.742)
Epoch: [7][6740/7045]	Time 0.101 (0.249)	Data 0.005 (0.186)	Loss 5.2042 (5.0221)	Prec@1 4.688 (4.555)	Prec@5 12.891 (15.740)
Epoch: [7][6750/7045]	Time 0.135 (0.249)	Data 0.083 (0.186)	Loss 5.0362 (5.0222)	Prec@1 6.250 (4.555)	Prec@5 17.188 (15.739)
Epoch: [7][6760/7045]	Time 0.170 (0.249)	Data 0.117 (0.186)	Loss 5.0581 (5.0222)	Prec@1 5.078 (4.554)	Prec@5 13.672 (15.738)
Epoch: [7][6770/7045]	Time 0.118 (0.249)	Data 0.066 (0.186)	Loss 4.8936 (5.0221)	Prec@1 6.250 (4.555)	Prec@5 13.281 (15.738)
Epoch: [7][6780/7045]	Time 0.113 (0.249)	Data 0.061 (0.186)	Loss 5.0061 (5.0221)	Prec@1 3.125 (4.556)	Prec@5 15.234 (15.739)
Epoch: [7][6790/7045]	Time 0.180 (0.249)	Data 0.128 (0.186)	Loss 5.0544 (5.0221)	Prec@1 5.078 (4.557)	Prec@5 12.891 (15.740)
Epoch: [7][6800/7045]	Time 0.102 (0.249)	Data 0.016 (0.186)	Loss 4.9981 (5.0221)	Prec@1 4.688 (4.556)	Prec@5 17.188 (15.738)
Epoch: [7][6810/7045]	Time 0.339 (0.249)	Data 0.287 (0.186)	Loss 4.8902 (5.0220)	Prec@1 4.688 (4.556)	Prec@5 19.141 (15.739)
Epoch: [7][6820/7045]	Time 0.104 (0.249)	Data 0.015 (0.186)	Loss 5.0151 (5.0220)	Prec@1 3.906 (4.557)	Prec@5 14.453 (15.739)
Epoch: [7][6830/7045]	Time 0.133 (0.249)	Data 0.082 (0.186)	Loss 5.0967 (5.0219)	Prec@1 7.031 (4.557)	Prec@5 15.234 (15.740)
Epoch: [7][6840/7045]	Time 0.656 (0.249)	Data 0.606 (0.186)	Loss 5.0106 (5.0221)	Prec@1 3.516 (4.556)	Prec@5 16.016 (15.739)
Epoch: [7][6850/7045]	Time 0.109 (0.249)	Data 0.011 (0.186)	Loss 5.0974 (5.0220)	Prec@1 6.250 (4.556)	Prec@5 17.188 (15.738)
Epoch: [7][6860/7045]	Time 0.440 (0.249)	Data 0.390 (0.186)	Loss 5.0832 (5.0220)	Prec@1 5.078 (4.557)	Prec@5 14.453 (15.739)
Epoch: [7][6870/7045]	Time 0.401 (0.249)	Data 0.350 (0.186)	Loss 5.1354 (5.0221)	Prec@1 4.688 (4.557)	Prec@5 14.844 (15.738)
Epoch: [7][6880/7045]	Time 0.150 (0.249)	Data 0.098 (0.186)	Loss 4.9742 (5.0221)	Prec@1 5.859 (4.556)	Prec@5 16.016 (15.736)
Epoch: [7][6890/7045]	Time 0.209 (0.249)	Data 0.158 (0.186)	Loss 5.0608 (5.0221)	Prec@1 2.734 (4.557)	Prec@5 14.453 (15.737)
Epoch: [7][6900/7045]	Time 0.111 (0.249)	Data 0.001 (0.186)	Loss 5.0758 (5.0220)	Prec@1 5.078 (4.557)	Prec@5 16.797 (15.737)
Epoch: [7][6910/7045]	Time 0.102 (0.249)	Data 0.001 (0.186)	Loss 4.9903 (5.0220)	Prec@1 2.344 (4.558)	Prec@5 13.672 (15.737)
Epoch: [7][6920/7045]	Time 0.160 (0.249)	Data 0.101 (0.186)	Loss 4.9671 (5.0220)	Prec@1 3.125 (4.557)	Prec@5 16.406 (15.736)
Epoch: [7][6930/7045]	Time 0.103 (0.249)	Data 0.001 (0.186)	Loss 5.0153 (5.0220)	Prec@1 4.688 (4.557)	Prec@5 16.016 (15.737)
Epoch: [7][6940/7045]	Time 0.102 (0.249)	Data 0.001 (0.186)	Loss 5.0205 (5.0220)	Prec@1 6.641 (4.558)	Prec@5 15.625 (15.738)
Epoch: [7][6950/7045]	Time 0.195 (0.249)	Data 0.144 (0.186)	Loss 5.1074 (5.0219)	Prec@1 4.688 (4.558)	Prec@5 16.016 (15.737)
Epoch: [7][6960/7045]	Time 0.197 (0.249)	Data 0.146 (0.186)	Loss 5.1316 (5.0219)	Prec@1 3.516 (4.558)	Prec@5 12.891 (15.736)
Epoch: [7][6970/7045]	Time 0.215 (0.249)	Data 0.163 (0.186)	Loss 4.9878 (5.0219)	Prec@1 3.516 (4.559)	Prec@5 16.016 (15.737)
Epoch: [7][6980/7045]	Time 0.191 (0.249)	Data 0.140 (0.186)	Loss 5.2659 (5.0219)	Prec@1 1.172 (4.558)	Prec@5 11.719 (15.737)
Epoch: [7][6990/7045]	Time 0.112 (0.249)	Data 0.062 (0.186)	Loss 5.0594 (5.0220)	Prec@1 6.250 (4.558)	Prec@5 14.844 (15.737)
Epoch: [7][7000/7045]	Time 0.368 (0.249)	Data 0.316 (0.186)	Loss 4.8328 (5.0219)	Prec@1 4.688 (4.558)	Prec@5 19.922 (15.738)
Epoch: [7][7010/7045]	Time 0.103 (0.249)	Data 0.051 (0.186)	Loss 4.9437 (5.0218)	Prec@1 4.297 (4.558)	Prec@5 17.969 (15.740)
Epoch: [7][7020/7045]	Time 0.476 (0.249)	Data 0.426 (0.186)	Loss 5.0916 (5.0218)	Prec@1 4.297 (4.560)	Prec@5 15.234 (15.743)
Epoch: [7][7030/7045]	Time 0.343 (0.249)	Data 0.291 (0.186)	Loss 4.9376 (5.0218)	Prec@1 5.859 (4.560)	Prec@5 16.016 (15.742)
Epoch: [7][7040/7045]	Time 0.138 (0.249)	Data 0.086 (0.186)	Loss 5.0544 (5.0218)	Prec@1 3.906 (4.559)	Prec@5 17.188 (15.742)
Test: [0/143]	Time 1.244 (1.244)	Loss 5.1928 (5.1928)	Prec@1 1.172 (1.172)	Prec@5 8.594 (8.594)
Test: [10/143]	Time 0.127 (0.252)	Loss 4.5156 (4.9433)	Prec@1 10.156 (3.942)	Prec@5 35.156 (16.016)
Test: [20/143]	Time 0.327 (0.236)	Loss 5.1538 (4.9154)	Prec@1 0.391 (4.688)	Prec@5 10.156 (17.727)
Test: [30/143]	Time 0.048 (0.219)	Loss 5.2086 (4.9394)	Prec@1 1.562 (4.927)	Prec@5 8.203 (17.225)
Test: [40/143]	Time 0.049 (0.218)	Loss 5.4541 (4.9334)	Prec@1 0.000 (4.821)	Prec@5 0.000 (16.883)
Test: [50/143]	Time 0.114 (0.208)	Loss 4.6949 (4.9622)	Prec@1 5.469 (4.435)	Prec@5 19.922 (15.947)
Test: [60/143]	Time 0.155 (0.209)	Loss 4.7986 (4.9379)	Prec@1 1.953 (4.700)	Prec@5 22.266 (16.880)
Test: [70/143]	Time 0.272 (0.204)	Loss 5.0559 (4.9344)	Prec@1 1.953 (4.798)	Prec@5 11.719 (16.907)
Test: [80/143]	Time 0.048 (0.203)	Loss 4.7915 (4.9308)	Prec@1 5.469 (4.745)	Prec@5 25.781 (17.221)
Test: [90/143]	Time 0.117 (0.202)	Loss 5.3721 (4.9572)	Prec@1 0.781 (4.529)	Prec@5 4.688 (16.599)
Test: [100/143]	Time 0.412 (0.203)	Loss 4.5399 (4.9432)	Prec@1 8.984 (4.548)	Prec@5 29.688 (16.925)
Test: [110/143]	Time 0.120 (0.200)	Loss 4.9603 (4.9427)	Prec@1 6.250 (4.649)	Prec@5 17.969 (17.089)
Test: [120/143]	Time 0.518 (0.201)	Loss 4.6872 (4.9332)	Prec@1 9.375 (4.778)	Prec@5 32.031 (17.488)
Test: [130/143]	Time 0.048 (0.200)	Loss 4.9060 (4.9277)	Prec@1 6.641 (4.863)	Prec@5 15.625 (17.685)
Test: [140/143]	Time 0.362 (0.200)	Loss 5.4575 (4.9391)	Prec@1 0.781 (4.837)	Prec@5 2.344 (17.492)
 * Prec@1 4.904 Prec@5 17.622
Epoch: [8][0/7045]	Time 3.114 (3.114)	Data 3.048 (3.048)	Loss 5.0628 (5.0628)	Prec@1 5.859 (5.859)	Prec@5 14.062 (14.062)
Epoch: [8][10/7045]	Time 0.194 (0.482)	Data 0.137 (0.410)	Loss 4.9951 (5.0636)	Prec@1 5.859 (4.190)	Prec@5 17.578 (14.347)
Epoch: [8][20/7045]	Time 0.400 (0.383)	Data 0.350 (0.320)	Loss 4.9393 (5.0356)	Prec@1 6.641 (4.371)	Prec@5 21.875 (15.309)
Epoch: [8][30/7045]	Time 0.394 (0.342)	Data 0.343 (0.281)	Loss 4.8559 (5.0246)	Prec@1 4.688 (4.435)	Prec@5 20.312 (15.398)
Epoch: [8][40/7045]	Time 0.105 (0.319)	Data 0.053 (0.258)	Loss 4.9893 (5.0362)	Prec@1 4.297 (4.421)	Prec@5 16.406 (15.101)
Epoch: [8][50/7045]	Time 0.348 (0.311)	Data 0.297 (0.249)	Loss 4.8723 (5.0308)	Prec@1 5.078 (4.473)	Prec@5 17.188 (15.365)
Epoch: [8][60/7045]	Time 0.345 (0.303)	Data 0.295 (0.242)	Loss 5.0225 (5.0313)	Prec@1 4.297 (4.387)	Prec@5 14.453 (15.401)
Epoch: [8][70/7045]	Time 0.171 (0.295)	Data 0.119 (0.233)	Loss 4.9654 (5.0310)	Prec@1 4.688 (4.368)	Prec@5 16.406 (15.443)
Epoch: [8][80/7045]	Time 0.464 (0.292)	Data 0.413 (0.230)	Loss 4.9660 (5.0305)	Prec@1 3.906 (4.389)	Prec@5 14.844 (15.451)
Epoch: [8][90/7045]	Time 0.113 (0.286)	Data 0.061 (0.225)	Loss 5.0607 (5.0300)	Prec@1 5.859 (4.456)	Prec@5 14.844 (15.591)
Epoch: [8][100/7045]	Time 0.101 (0.282)	Data 0.010 (0.222)	Loss 4.9459 (5.0281)	Prec@1 5.078 (4.440)	Prec@5 15.625 (15.594)
Epoch: [8][110/7045]	Time 0.507 (0.285)	Data 0.456 (0.224)	Loss 4.9774 (5.0289)	Prec@1 5.859 (4.480)	Prec@5 15.625 (15.530)
Epoch: [8][120/7045]	Time 0.120 (0.279)	Data 0.067 (0.218)	Loss 4.9193 (5.0297)	Prec@1 5.469 (4.445)	Prec@5 19.141 (15.454)
Epoch: [8][130/7045]	Time 0.101 (0.276)	Data 0.004 (0.215)	Loss 5.0653 (5.0232)	Prec@1 5.078 (4.473)	Prec@5 13.281 (15.491)
Epoch: [8][140/7045]	Time 0.170 (0.278)	Data 0.119 (0.216)	Loss 5.0127 (5.0186)	Prec@1 4.297 (4.510)	Prec@5 12.109 (15.564)
Epoch: [8][150/7045]	Time 0.101 (0.275)	Data 0.001 (0.212)	Loss 5.0031 (5.0172)	Prec@1 5.859 (4.483)	Prec@5 14.844 (15.589)
Epoch: [8][160/7045]	Time 0.308 (0.274)	Data 0.256 (0.212)	Loss 5.0193 (5.0152)	Prec@1 3.516 (4.523)	Prec@5 14.453 (15.606)
Epoch: [8][170/7045]	Time 0.112 (0.273)	Data 0.006 (0.210)	Loss 5.1364 (5.0163)	Prec@1 2.734 (4.534)	Prec@5 14.844 (15.650)
Epoch: [8][180/7045]	Time 0.230 (0.272)	Data 0.179 (0.209)	Loss 4.9057 (5.0175)	Prec@1 6.250 (4.545)	Prec@5 16.797 (15.683)
Epoch: [8][190/7045]	Time 0.332 (0.272)	Data 0.280 (0.209)	Loss 5.0057 (5.0206)	Prec@1 4.688 (4.512)	Prec@5 16.406 (15.629)
Epoch: [8][200/7045]	Time 0.319 (0.272)	Data 0.268 (0.210)	Loss 5.0500 (5.0254)	Prec@1 4.688 (4.499)	Prec@5 16.797 (15.547)
Epoch: [8][210/7045]	Time 0.102 (0.272)	Data 0.015 (0.209)	Loss 4.9709 (5.0276)	Prec@1 7.422 (4.495)	Prec@5 15.234 (15.497)
Epoch: [8][220/7045]	Time 0.604 (0.273)	Data 0.553 (0.210)	Loss 5.0291 (5.0298)	Prec@1 5.078 (4.514)	Prec@5 12.891 (15.445)
Epoch: [8][230/7045]	Time 0.673 (0.273)	Data 0.621 (0.210)	Loss 4.9168 (5.0301)	Prec@1 8.984 (4.517)	Prec@5 20.312 (15.468)
Epoch: [8][240/7045]	Time 0.100 (0.272)	Data 0.001 (0.209)	Loss 5.0493 (5.0289)	Prec@1 4.297 (4.530)	Prec@5 14.453 (15.492)
Epoch: [8][250/7045]	Time 0.109 (0.272)	Data 0.057 (0.208)	Loss 4.8408 (5.0288)	Prec@1 5.469 (4.529)	Prec@5 19.141 (15.511)
Epoch: [8][260/7045]	Time 0.102 (0.271)	Data 0.012 (0.208)	Loss 5.0391 (5.0299)	Prec@1 5.078 (4.539)	Prec@5 17.969 (15.493)
Epoch: [8][270/7045]	Time 0.108 (0.273)	Data 0.001 (0.209)	Loss 5.2381 (5.0346)	Prec@1 3.516 (4.529)	Prec@5 11.719 (15.430)
Epoch: [8][280/7045]	Time 0.345 (0.272)	Data 0.294 (0.208)	Loss 4.8863 (5.0377)	Prec@1 5.078 (4.490)	Prec@5 19.531 (15.387)
Epoch: [8][290/7045]	Time 0.110 (0.271)	Data 0.057 (0.208)	Loss 5.0084 (5.0371)	Prec@1 3.906 (4.477)	Prec@5 17.188 (15.398)
Epoch: [8][300/7045]	Time 0.202 (0.271)	Data 0.152 (0.207)	Loss 4.9873 (5.0356)	Prec@1 6.250 (4.481)	Prec@5 17.969 (15.442)
Epoch: [8][310/7045]	Time 0.520 (0.272)	Data 0.469 (0.208)	Loss 4.9935 (5.0310)	Prec@1 2.734 (4.493)	Prec@5 16.406 (15.540)
Epoch: [8][320/7045]	Time 0.105 (0.270)	Data 0.053 (0.206)	Loss 5.0877 (5.0285)	Prec@1 3.125 (4.500)	Prec@5 12.500 (15.576)
Epoch: [8][330/7045]	Time 0.705 (0.272)	Data 0.655 (0.208)	Loss 5.0373 (5.0282)	Prec@1 4.688 (4.512)	Prec@5 17.188 (15.579)
Epoch: [8][340/7045]	Time 0.102 (0.270)	Data 0.001 (0.206)	Loss 5.1211 (5.0288)	Prec@1 3.906 (4.531)	Prec@5 13.281 (15.573)
Epoch: [8][350/7045]	Time 0.377 (0.270)	Data 0.326 (0.207)	Loss 4.8786 (5.0269)	Prec@1 6.641 (4.536)	Prec@5 18.750 (15.596)
Epoch: [8][360/7045]	Time 0.101 (0.270)	Data 0.001 (0.206)	Loss 4.9847 (5.0269)	Prec@1 4.688 (4.519)	Prec@5 16.406 (15.615)
Epoch: [8][370/7045]	Time 0.200 (0.269)	Data 0.148 (0.206)	Loss 5.0786 (5.0266)	Prec@1 4.688 (4.523)	Prec@5 16.016 (15.609)
Epoch: [8][380/7045]	Time 0.124 (0.269)	Data 0.074 (0.206)	Loss 5.0402 (5.0251)	Prec@1 4.688 (4.540)	Prec@5 17.188 (15.643)
Epoch: [8][390/7045]	Time 0.380 (0.269)	Data 0.329 (0.206)	Loss 5.0409 (5.0240)	Prec@1 3.906 (4.557)	Prec@5 17.969 (15.655)
Epoch: [8][400/7045]	Time 0.121 (0.268)	Data 0.069 (0.205)	Loss 5.0308 (5.0232)	Prec@1 4.297 (4.549)	Prec@5 16.016 (15.669)
Epoch: [8][410/7045]	Time 0.208 (0.269)	Data 0.156 (0.205)	Loss 4.8783 (5.0207)	Prec@1 4.688 (4.556)	Prec@5 19.922 (15.702)
Epoch: [8][420/7045]	Time 0.102 (0.268)	Data 0.001 (0.204)	Loss 5.0065 (5.0192)	Prec@1 5.859 (4.554)	Prec@5 17.969 (15.717)
Epoch: [8][430/7045]	Time 0.151 (0.268)	Data 0.100 (0.204)	Loss 4.9141 (5.0208)	Prec@1 5.859 (4.542)	Prec@5 17.969 (15.692)
Epoch: [8][440/7045]	Time 0.101 (0.267)	Data 0.007 (0.204)	Loss 4.9147 (5.0195)	Prec@1 5.078 (4.561)	Prec@5 15.625 (15.731)
Epoch: [8][450/7045]	Time 0.354 (0.267)	Data 0.303 (0.204)	Loss 4.9859 (5.0209)	Prec@1 6.250 (4.552)	Prec@5 16.406 (15.699)
Epoch: [8][460/7045]	Time 0.150 (0.267)	Data 0.099 (0.203)	Loss 4.9922 (5.0204)	Prec@1 2.734 (4.547)	Prec@5 17.188 (15.719)
Epoch: [8][470/7045]	Time 0.505 (0.267)	Data 0.455 (0.203)	Loss 5.1182 (5.0199)	Prec@1 2.734 (4.547)	Prec@5 12.109 (15.719)
Epoch: [8][480/7045]	Time 0.292 (0.266)	Data 0.241 (0.203)	Loss 4.9425 (5.0190)	Prec@1 5.469 (4.556)	Prec@5 19.531 (15.729)
Epoch: [8][490/7045]	Time 0.325 (0.266)	Data 0.274 (0.202)	Loss 5.0964 (5.0181)	Prec@1 4.688 (4.569)	Prec@5 14.453 (15.755)
Epoch: [8][500/7045]	Time 0.096 (0.266)	Data 0.001 (0.202)	Loss 5.0019 (5.0176)	Prec@1 7.812 (4.582)	Prec@5 18.359 (15.761)
Epoch: [8][510/7045]	Time 0.120 (0.265)	Data 0.067 (0.201)	Loss 5.0103 (5.0182)	Prec@1 2.734 (4.577)	Prec@5 16.016 (15.749)
Epoch: [8][520/7045]	Time 0.109 (0.266)	Data 0.001 (0.202)	Loss 5.0357 (5.0178)	Prec@1 3.516 (4.570)	Prec@5 17.578 (15.789)
Epoch: [8][530/7045]	Time 0.104 (0.265)	Data 0.001 (0.200)	Loss 5.0874 (5.0173)	Prec@1 5.469 (4.589)	Prec@5 16.016 (15.810)
Epoch: [8][540/7045]	Time 0.219 (0.265)	Data 0.168 (0.200)	Loss 4.9648 (5.0164)	Prec@1 4.297 (4.597)	Prec@5 16.016 (15.825)
Epoch: [8][550/7045]	Time 0.102 (0.264)	Data 0.001 (0.200)	Loss 4.9060 (5.0164)	Prec@1 4.688 (4.593)	Prec@5 16.406 (15.829)
Epoch: [8][560/7045]	Time 0.677 (0.265)	Data 0.626 (0.200)	Loss 4.9705 (5.0163)	Prec@1 2.344 (4.585)	Prec@5 16.797 (15.847)
Epoch: [8][570/7045]	Time 0.101 (0.264)	Data 0.019 (0.199)	Loss 4.9857 (5.0158)	Prec@1 4.688 (4.590)	Prec@5 18.359 (15.859)
Epoch: [8][580/7045]	Time 0.662 (0.264)	Data 0.611 (0.199)	Loss 4.8820 (5.0145)	Prec@1 5.859 (4.607)	Prec@5 20.312 (15.899)
Epoch: [8][590/7045]	Time 0.371 (0.264)	Data 0.319 (0.199)	Loss 5.0592 (5.0134)	Prec@1 4.297 (4.615)	Prec@5 14.844 (15.908)
Epoch: [8][600/7045]	Time 0.226 (0.263)	Data 0.176 (0.198)	Loss 4.9066 (5.0135)	Prec@1 3.125 (4.610)	Prec@5 15.625 (15.926)
Epoch: [8][610/7045]	Time 0.454 (0.263)	Data 0.394 (0.199)	Loss 5.0543 (5.0140)	Prec@1 5.469 (4.610)	Prec@5 16.016 (15.915)
Epoch: [8][620/7045]	Time 0.283 (0.263)	Data 0.232 (0.199)	Loss 4.9761 (5.0143)	Prec@1 5.469 (4.604)	Prec@5 16.797 (15.907)
Epoch: [8][630/7045]	Time 0.285 (0.263)	Data 0.231 (0.199)	Loss 4.9127 (5.0137)	Prec@1 5.469 (4.601)	Prec@5 17.188 (15.904)
Epoch: [8][640/7045]	Time 0.108 (0.263)	Data 0.056 (0.199)	Loss 5.0482 (5.0132)	Prec@1 6.250 (4.616)	Prec@5 16.016 (15.919)
Epoch: [8][650/7045]	Time 0.538 (0.263)	Data 0.485 (0.199)	Loss 4.8793 (5.0128)	Prec@1 4.688 (4.620)	Prec@5 18.750 (15.916)
Epoch: [8][660/7045]	Time 0.127 (0.263)	Data 0.066 (0.199)	Loss 5.0347 (5.0132)	Prec@1 3.906 (4.604)	Prec@5 14.844 (15.907)
Epoch: [8][670/7045]	Time 0.378 (0.263)	Data 0.327 (0.199)	Loss 5.0196 (5.0122)	Prec@1 3.516 (4.606)	Prec@5 13.672 (15.932)
Epoch: [8][680/7045]	Time 0.338 (0.263)	Data 0.288 (0.199)	Loss 5.1207 (5.0119)	Prec@1 3.906 (4.612)	Prec@5 16.016 (15.946)
Epoch: [8][690/7045]	Time 0.224 (0.263)	Data 0.174 (0.199)	Loss 4.8654 (5.0109)	Prec@1 4.688 (4.620)	Prec@5 19.141 (15.971)
Epoch: [8][700/7045]	Time 0.305 (0.263)	Data 0.247 (0.199)	Loss 4.8389 (5.0096)	Prec@1 4.297 (4.630)	Prec@5 17.969 (15.999)
Epoch: [8][710/7045]	Time 0.346 (0.263)	Data 0.295 (0.199)	Loss 4.9929 (5.0093)	Prec@1 5.078 (4.627)	Prec@5 17.578 (16.002)
Epoch: [8][720/7045]	Time 0.124 (0.263)	Data 0.072 (0.199)	Loss 5.1679 (5.0092)	Prec@1 3.516 (4.620)	Prec@5 12.109 (16.002)
Epoch: [8][730/7045]	Time 0.168 (0.263)	Data 0.117 (0.199)	Loss 4.9664 (5.0083)	Prec@1 3.125 (4.626)	Prec@5 17.969 (16.016)
Epoch: [8][740/7045]	Time 0.381 (0.263)	Data 0.331 (0.199)	Loss 5.1235 (5.0081)	Prec@1 3.125 (4.625)	Prec@5 14.062 (16.019)
Epoch: [8][750/7045]	Time 0.101 (0.263)	Data 0.001 (0.199)	Loss 5.2641 (5.0086)	Prec@1 2.734 (4.623)	Prec@5 7.031 (16.012)
Epoch: [8][760/7045]	Time 0.481 (0.263)	Data 0.429 (0.199)	Loss 5.1870 (5.0095)	Prec@1 2.344 (4.604)	Prec@5 13.672 (15.987)
Epoch: [8][770/7045]	Time 0.355 (0.263)	Data 0.304 (0.199)	Loss 5.0148 (5.0104)	Prec@1 4.297 (4.600)	Prec@5 16.016 (15.978)
Epoch: [8][780/7045]	Time 0.103 (0.262)	Data 0.051 (0.199)	Loss 4.8624 (5.0102)	Prec@1 5.859 (4.608)	Prec@5 19.141 (15.986)
Epoch: [8][790/7045]	Time 0.490 (0.263)	Data 0.440 (0.199)	Loss 5.1621 (5.0101)	Prec@1 5.859 (4.598)	Prec@5 13.672 (15.987)
Epoch: [8][800/7045]	Time 0.110 (0.262)	Data 0.011 (0.199)	Loss 5.0331 (5.0107)	Prec@1 3.906 (4.592)	Prec@5 14.453 (15.968)
Epoch: [8][810/7045]	Time 0.356 (0.262)	Data 0.305 (0.199)	Loss 5.0108 (5.0108)	Prec@1 4.688 (4.596)	Prec@5 15.625 (15.972)
Epoch: [8][820/7045]	Time 0.102 (0.262)	Data 0.010 (0.199)	Loss 5.1133 (5.0109)	Prec@1 3.516 (4.594)	Prec@5 14.844 (15.963)
Epoch: [8][830/7045]	Time 0.102 (0.262)	Data 0.002 (0.198)	Loss 5.0718 (5.0121)	Prec@1 5.859 (4.590)	Prec@5 17.188 (15.948)
Epoch: [8][840/7045]	Time 0.110 (0.262)	Data 0.001 (0.198)	Loss 4.8583 (5.0119)	Prec@1 4.688 (4.591)	Prec@5 16.406 (15.958)
Epoch: [8][850/7045]	Time 0.102 (0.262)	Data 0.001 (0.198)	Loss 5.1019 (5.0120)	Prec@1 3.906 (4.600)	Prec@5 14.453 (15.961)
Epoch: [8][860/7045]	Time 0.471 (0.262)	Data 0.420 (0.198)	Loss 5.1790 (5.0125)	Prec@1 5.469 (4.595)	Prec@5 13.672 (15.957)
Epoch: [8][870/7045]	Time 0.102 (0.262)	Data 0.020 (0.198)	Loss 4.9760 (5.0129)	Prec@1 6.641 (4.593)	Prec@5 19.141 (15.953)
Epoch: [8][880/7045]	Time 0.417 (0.262)	Data 0.365 (0.198)	Loss 4.9737 (5.0124)	Prec@1 3.906 (4.590)	Prec@5 16.016 (15.960)
Epoch: [8][890/7045]	Time 0.159 (0.262)	Data 0.108 (0.198)	Loss 5.1126 (5.0119)	Prec@1 4.688 (4.596)	Prec@5 14.453 (15.972)
Epoch: [8][900/7045]	Time 0.252 (0.262)	Data 0.194 (0.198)	Loss 4.8367 (5.0115)	Prec@1 5.078 (4.596)	Prec@5 17.969 (15.980)
Epoch: [8][910/7045]	Time 0.477 (0.262)	Data 0.426 (0.198)	Loss 5.0607 (5.0115)	Prec@1 2.344 (4.598)	Prec@5 13.281 (15.985)
Epoch: [8][920/7045]	Time 0.111 (0.262)	Data 0.001 (0.198)	Loss 5.0009 (5.0121)	Prec@1 4.297 (4.598)	Prec@5 15.625 (15.975)
Epoch: [8][930/7045]	Time 0.224 (0.261)	Data 0.174 (0.198)	Loss 4.9859 (5.0125)	Prec@1 5.078 (4.594)	Prec@5 13.281 (15.966)
Epoch: [8][940/7045]	Time 0.453 (0.261)	Data 0.402 (0.198)	Loss 4.9772 (5.0128)	Prec@1 5.078 (4.598)	Prec@5 15.625 (15.971)
Epoch: [8][950/7045]	Time 0.101 (0.261)	Data 0.049 (0.198)	Loss 5.0094 (5.0129)	Prec@1 2.734 (4.607)	Prec@5 12.109 (15.972)
Epoch: [8][960/7045]	Time 0.551 (0.261)	Data 0.500 (0.198)	Loss 5.0463 (5.0131)	Prec@1 3.906 (4.606)	Prec@5 16.406 (15.971)
Epoch: [8][970/7045]	Time 0.243 (0.261)	Data 0.193 (0.198)	Loss 5.0682 (5.0133)	Prec@1 4.688 (4.606)	Prec@5 17.969 (15.969)
Epoch: [8][980/7045]	Time 0.098 (0.261)	Data 0.045 (0.198)	Loss 4.9963 (5.0134)	Prec@1 3.125 (4.604)	Prec@5 17.578 (15.959)
Epoch: [8][990/7045]	Time 0.100 (0.261)	Data 0.012 (0.198)	Loss 4.9241 (5.0131)	Prec@1 6.641 (4.609)	Prec@5 25.391 (15.960)
Epoch: [8][1000/7045]	Time 0.135 (0.261)	Data 0.084 (0.198)	Loss 5.0510 (5.0128)	Prec@1 2.734 (4.604)	Prec@5 13.672 (15.956)
Epoch: [8][1010/7045]	Time 0.106 (0.261)	Data 0.055 (0.198)	Loss 5.0078 (5.0124)	Prec@1 3.125 (4.603)	Prec@5 16.016 (15.958)
Epoch: [8][1020/7045]	Time 0.404 (0.261)	Data 0.353 (0.198)	Loss 5.0966 (5.0122)	Prec@1 1.562 (4.607)	Prec@5 16.016 (15.978)
Epoch: [8][1030/7045]	Time 0.383 (0.261)	Data 0.332 (0.198)	Loss 5.0017 (5.0126)	Prec@1 4.688 (4.608)	Prec@5 16.016 (15.968)
Epoch: [8][1040/7045]	Time 0.106 (0.261)	Data 0.055 (0.197)	Loss 4.9127 (5.0125)	Prec@1 6.641 (4.600)	Prec@5 16.797 (15.961)
Epoch: [8][1050/7045]	Time 0.556 (0.261)	Data 0.496 (0.198)	Loss 4.9919 (5.0124)	Prec@1 3.125 (4.606)	Prec@5 16.797 (15.964)
Epoch: [8][1060/7045]	Time 0.247 (0.261)	Data 0.196 (0.197)	Loss 5.2314 (5.0127)	Prec@1 4.297 (4.603)	Prec@5 11.719 (15.950)
Epoch: [8][1070/7045]	Time 0.140 (0.261)	Data 0.089 (0.197)	Loss 5.0226 (5.0131)	Prec@1 3.125 (4.599)	Prec@5 19.531 (15.953)
Epoch: [8][1080/7045]	Time 0.289 (0.261)	Data 0.237 (0.198)	Loss 5.0124 (5.0130)	Prec@1 5.078 (4.598)	Prec@5 14.844 (15.953)
Epoch: [8][1090/7045]	Time 0.103 (0.261)	Data 0.001 (0.197)	Loss 4.9091 (5.0126)	Prec@1 3.516 (4.599)	Prec@5 16.797 (15.960)
Epoch: [8][1100/7045]	Time 0.300 (0.261)	Data 0.250 (0.197)	Loss 4.9698 (5.0124)	Prec@1 2.734 (4.596)	Prec@5 16.406 (15.953)
Epoch: [8][1110/7045]	Time 0.407 (0.261)	Data 0.356 (0.197)	Loss 4.9954 (5.0124)	Prec@1 2.734 (4.593)	Prec@5 12.891 (15.944)
Epoch: [8][1120/7045]	Time 0.107 (0.260)	Data 0.001 (0.197)	Loss 5.0910 (5.0120)	Prec@1 5.469 (4.594)	Prec@5 14.062 (15.953)
Epoch: [8][1130/7045]	Time 0.546 (0.260)	Data 0.495 (0.197)	Loss 5.0440 (5.0111)	Prec@1 4.688 (4.601)	Prec@5 15.625 (15.976)
Epoch: [8][1140/7045]	Time 0.101 (0.260)	Data 0.019 (0.197)	Loss 4.9819 (5.0113)	Prec@1 3.516 (4.601)	Prec@5 15.625 (15.973)
Epoch: [8][1150/7045]	Time 0.107 (0.260)	Data 0.055 (0.197)	Loss 5.0523 (5.0111)	Prec@1 3.906 (4.601)	Prec@5 13.672 (15.970)
Epoch: [8][1160/7045]	Time 0.163 (0.260)	Data 0.112 (0.197)	Loss 4.9286 (5.0106)	Prec@1 4.688 (4.607)	Prec@5 17.578 (15.984)
Epoch: [8][1170/7045]	Time 0.101 (0.260)	Data 0.001 (0.197)	Loss 5.0609 (5.0101)	Prec@1 3.906 (4.610)	Prec@5 18.359 (15.996)
Epoch: [8][1180/7045]	Time 0.103 (0.260)	Data 0.001 (0.196)	Loss 4.9297 (5.0099)	Prec@1 3.906 (4.611)	Prec@5 15.625 (15.991)
Epoch: [8][1190/7045]	Time 0.279 (0.260)	Data 0.228 (0.196)	Loss 5.0747 (5.0099)	Prec@1 3.906 (4.614)	Prec@5 15.625 (15.994)
Epoch: [8][1200/7045]	Time 0.326 (0.260)	Data 0.274 (0.196)	Loss 5.0820 (5.0100)	Prec@1 3.906 (4.617)	Prec@5 16.016 (16.002)
Epoch: [8][1210/7045]	Time 0.287 (0.260)	Data 0.234 (0.196)	Loss 4.9717 (5.0101)	Prec@1 4.688 (4.612)	Prec@5 14.844 (15.996)
Epoch: [8][1220/7045]	Time 0.364 (0.260)	Data 0.313 (0.196)	Loss 5.0616 (5.0105)	Prec@1 5.859 (4.608)	Prec@5 14.062 (15.986)
Epoch: [8][1230/7045]	Time 0.215 (0.260)	Data 0.164 (0.196)	Loss 5.0177 (5.0109)	Prec@1 4.688 (4.604)	Prec@5 18.359 (15.982)
Epoch: [8][1240/7045]	Time 0.101 (0.260)	Data 0.001 (0.196)	Loss 5.0197 (5.0111)	Prec@1 5.859 (4.603)	Prec@5 12.891 (15.970)
Epoch: [8][1250/7045]	Time 0.099 (0.260)	Data 0.047 (0.196)	Loss 5.1070 (5.0115)	Prec@1 1.953 (4.599)	Prec@5 9.766 (15.955)
Epoch: [8][1260/7045]	Time 0.469 (0.260)	Data 0.416 (0.196)	Loss 5.0034 (5.0115)	Prec@1 4.297 (4.595)	Prec@5 17.578 (15.960)
Epoch: [8][1270/7045]	Time 0.102 (0.260)	Data 0.014 (0.196)	Loss 4.9914 (5.0117)	Prec@1 5.469 (4.599)	Prec@5 16.406 (15.958)
Epoch: [8][1280/7045]	Time 0.530 (0.260)	Data 0.471 (0.196)	Loss 5.0302 (5.0115)	Prec@1 4.688 (4.604)	Prec@5 15.625 (15.960)
Epoch: [8][1290/7045]	Time 0.171 (0.259)	Data 0.120 (0.196)	Loss 5.0691 (5.0110)	Prec@1 4.688 (4.610)	Prec@5 14.062 (15.968)
Epoch: [8][1300/7045]	Time 0.394 (0.259)	Data 0.343 (0.196)	Loss 4.9815 (5.0108)	Prec@1 4.297 (4.608)	Prec@5 13.672 (15.968)
Epoch: [8][1310/7045]	Time 0.573 (0.259)	Data 0.522 (0.196)	Loss 5.0065 (5.0106)	Prec@1 4.688 (4.612)	Prec@5 16.406 (15.972)
Epoch: [8][1320/7045]	Time 0.277 (0.259)	Data 0.219 (0.196)	Loss 5.0420 (5.0105)	Prec@1 2.734 (4.612)	Prec@5 12.500 (15.971)
Epoch: [8][1330/7045]	Time 0.634 (0.259)	Data 0.583 (0.196)	Loss 4.9846 (5.0108)	Prec@1 3.516 (4.614)	Prec@5 17.188 (15.970)
Epoch: [8][1340/7045]	Time 0.102 (0.259)	Data 0.001 (0.196)	Loss 5.0036 (5.0108)	Prec@1 4.297 (4.615)	Prec@5 15.234 (15.969)
Epoch: [8][1350/7045]	Time 0.203 (0.259)	Data 0.151 (0.196)	Loss 5.1631 (5.0111)	Prec@1 5.078 (4.616)	Prec@5 15.234 (15.967)
Epoch: [8][1360/7045]	Time 0.105 (0.259)	Data 0.052 (0.195)	Loss 4.8849 (5.0110)	Prec@1 5.469 (4.617)	Prec@5 20.312 (15.966)
Epoch: [8][1370/7045]	Time 0.294 (0.259)	Data 0.242 (0.196)	Loss 5.0914 (5.0105)	Prec@1 2.344 (4.621)	Prec@5 17.969 (15.975)
Epoch: [8][1380/7045]	Time 0.106 (0.259)	Data 0.054 (0.196)	Loss 5.0482 (5.0106)	Prec@1 7.031 (4.621)	Prec@5 12.109 (15.975)
Epoch: [8][1390/7045]	Time 0.505 (0.259)	Data 0.454 (0.196)	Loss 5.0201 (5.0109)	Prec@1 6.250 (4.625)	Prec@5 17.578 (15.979)
Epoch: [8][1400/7045]	Time 0.208 (0.259)	Data 0.149 (0.196)	Loss 4.9184 (5.0109)	Prec@1 5.078 (4.625)	Prec@5 20.312 (15.981)
Epoch: [8][1410/7045]	Time 0.675 (0.259)	Data 0.623 (0.196)	Loss 5.0681 (5.0110)	Prec@1 3.906 (4.627)	Prec@5 12.109 (15.981)
Epoch: [8][1420/7045]	Time 0.176 (0.259)	Data 0.115 (0.195)	Loss 4.9880 (5.0108)	Prec@1 5.469 (4.628)	Prec@5 17.969 (15.986)
Epoch: [8][1430/7045]	Time 0.636 (0.259)	Data 0.584 (0.195)	Loss 5.0603 (5.0112)	Prec@1 2.344 (4.627)	Prec@5 16.797 (15.983)
Epoch: [8][1440/7045]	Time 0.107 (0.259)	Data 0.007 (0.195)	Loss 5.2412 (5.0119)	Prec@1 3.516 (4.625)	Prec@5 12.891 (15.973)
Epoch: [8][1450/7045]	Time 0.604 (0.259)	Data 0.553 (0.195)	Loss 4.9474 (5.0118)	Prec@1 4.297 (4.624)	Prec@5 17.969 (15.975)
Epoch: [8][1460/7045]	Time 0.286 (0.259)	Data 0.235 (0.195)	Loss 5.0526 (5.0120)	Prec@1 4.297 (4.620)	Prec@5 12.500 (15.972)
Epoch: [8][1470/7045]	Time 0.445 (0.259)	Data 0.393 (0.195)	Loss 4.8443 (5.0118)	Prec@1 6.250 (4.625)	Prec@5 19.531 (15.979)
Epoch: [8][1480/7045]	Time 0.105 (0.258)	Data 0.052 (0.195)	Loss 4.9828 (5.0118)	Prec@1 3.906 (4.626)	Prec@5 16.797 (15.981)
Epoch: [8][1490/7045]	Time 0.102 (0.258)	Data 0.005 (0.195)	Loss 5.1111 (5.0119)	Prec@1 3.516 (4.628)	Prec@5 13.672 (15.980)
Epoch: [8][1500/7045]	Time 0.141 (0.258)	Data 0.090 (0.195)	Loss 4.9341 (5.0117)	Prec@1 5.078 (4.630)	Prec@5 17.188 (15.981)
Epoch: [8][1510/7045]	Time 0.108 (0.258)	Data 0.056 (0.195)	Loss 5.1019 (5.0114)	Prec@1 4.297 (4.637)	Prec@5 14.844 (15.993)
Epoch: [8][1520/7045]	Time 0.209 (0.258)	Data 0.156 (0.195)	Loss 4.9835 (5.0110)	Prec@1 7.031 (4.648)	Prec@5 15.234 (16.007)
Epoch: [8][1530/7045]	Time 0.310 (0.258)	Data 0.259 (0.195)	Loss 4.9299 (5.0108)	Prec@1 3.516 (4.649)	Prec@5 14.844 (16.000)
Epoch: [8][1540/7045]	Time 0.193 (0.258)	Data 0.144 (0.195)	Loss 4.8719 (5.0106)	Prec@1 6.250 (4.653)	Prec@5 17.578 (16.007)
Epoch: [8][1550/7045]	Time 0.155 (0.258)	Data 0.104 (0.195)	Loss 5.0322 (5.0107)	Prec@1 5.469 (4.660)	Prec@5 16.016 (16.006)
Epoch: [8][1560/7045]	Time 0.224 (0.258)	Data 0.174 (0.195)	Loss 4.7615 (5.0105)	Prec@1 7.422 (4.660)	Prec@5 21.484 (16.011)
Epoch: [8][1570/7045]	Time 0.107 (0.258)	Data 0.056 (0.195)	Loss 5.1218 (5.0104)	Prec@1 3.125 (4.657)	Prec@5 15.625 (16.020)
Epoch: [8][1580/7045]	Time 0.102 (0.258)	Data 0.001 (0.195)	Loss 5.0466 (5.0102)	Prec@1 3.906 (4.654)	Prec@5 15.234 (16.022)
Epoch: [8][1590/7045]	Time 0.103 (0.258)	Data 0.001 (0.195)	Loss 5.0261 (5.0101)	Prec@1 6.250 (4.653)	Prec@5 14.844 (16.020)
Epoch: [8][1600/7045]	Time 0.110 (0.258)	Data 0.001 (0.195)	Loss 5.0583 (5.0100)	Prec@1 5.859 (4.654)	Prec@5 14.844 (16.022)
Epoch: [8][1610/7045]	Time 0.101 (0.258)	Data 0.001 (0.194)	Loss 5.0141 (5.0096)	Prec@1 2.734 (4.661)	Prec@5 15.234 (16.023)
Epoch: [8][1620/7045]	Time 0.113 (0.258)	Data 0.061 (0.194)	Loss 5.1315 (5.0094)	Prec@1 3.125 (4.663)	Prec@5 11.328 (16.030)
Epoch: [8][1630/7045]	Time 0.102 (0.258)	Data 0.001 (0.194)	Loss 5.0830 (5.0094)	Prec@1 5.469 (4.666)	Prec@5 17.578 (16.029)
Epoch: [8][1640/7045]	Time 0.224 (0.258)	Data 0.173 (0.194)	Loss 5.0133 (5.0093)	Prec@1 5.078 (4.667)	Prec@5 19.531 (16.035)
Epoch: [8][1650/7045]	Time 0.306 (0.258)	Data 0.255 (0.194)	Loss 5.0822 (5.0096)	Prec@1 3.906 (4.669)	Prec@5 12.891 (16.031)
Epoch: [8][1660/7045]	Time 0.109 (0.258)	Data 0.058 (0.194)	Loss 4.9853 (5.0099)	Prec@1 3.125 (4.662)	Prec@5 13.281 (16.019)
Epoch: [8][1670/7045]	Time 0.334 (0.258)	Data 0.282 (0.194)	Loss 4.8822 (5.0099)	Prec@1 3.125 (4.660)	Prec@5 13.281 (16.016)
Epoch: [8][1680/7045]	Time 0.103 (0.258)	Data 0.001 (0.194)	Loss 5.0615 (5.0094)	Prec@1 5.078 (4.661)	Prec@5 16.016 (16.026)
Epoch: [8][1690/7045]	Time 0.103 (0.257)	Data 0.001 (0.194)	Loss 4.9263 (5.0090)	Prec@1 4.297 (4.662)	Prec@5 19.141 (16.034)
Epoch: [8][1700/7045]	Time 0.106 (0.258)	Data 0.001 (0.194)	Loss 4.9769 (5.0090)	Prec@1 5.078 (4.660)	Prec@5 14.844 (16.034)
Epoch: [8][1710/7045]	Time 0.104 (0.257)	Data 0.001 (0.194)	Loss 5.0166 (5.0090)	Prec@1 3.906 (4.661)	Prec@5 14.062 (16.035)
Epoch: [8][1720/7045]	Time 0.108 (0.258)	Data 0.011 (0.194)	Loss 4.9682 (5.0090)	Prec@1 3.516 (4.665)	Prec@5 17.578 (16.030)
Epoch: [8][1730/7045]	Time 0.103 (0.257)	Data 0.051 (0.193)	Loss 4.9606 (5.0088)	Prec@1 4.297 (4.668)	Prec@5 16.016 (16.033)
Epoch: [8][1740/7045]	Time 0.146 (0.257)	Data 0.095 (0.193)	Loss 4.9668 (5.0085)	Prec@1 5.859 (4.670)	Prec@5 16.797 (16.038)
Epoch: [8][1750/7045]	Time 0.110 (0.257)	Data 0.058 (0.193)	Loss 5.0235 (5.0085)	Prec@1 4.688 (4.673)	Prec@5 14.844 (16.038)
Epoch: [8][1760/7045]	Time 0.506 (0.257)	Data 0.446 (0.193)	Loss 5.1027 (5.0086)	Prec@1 1.953 (4.667)	Prec@5 14.062 (16.032)
Epoch: [8][1770/7045]	Time 0.140 (0.257)	Data 0.087 (0.193)	Loss 5.0203 (5.0085)	Prec@1 4.688 (4.665)	Prec@5 16.406 (16.031)
Epoch: [8][1780/7045]	Time 0.492 (0.257)	Data 0.439 (0.193)	Loss 5.0201 (5.0087)	Prec@1 4.297 (4.664)	Prec@5 16.016 (16.026)
Epoch: [8][1790/7045]	Time 0.234 (0.257)	Data 0.184 (0.193)	Loss 5.0006 (5.0089)	Prec@1 5.078 (4.663)	Prec@5 17.578 (16.017)
Epoch: [8][1800/7045]	Time 0.304 (0.257)	Data 0.251 (0.193)	Loss 4.9342 (5.0087)	Prec@1 5.469 (4.662)	Prec@5 18.359 (16.022)
Epoch: [8][1810/7045]	Time 0.260 (0.257)	Data 0.209 (0.193)	Loss 4.8848 (5.0089)	Prec@1 7.422 (4.664)	Prec@5 18.359 (16.021)
Epoch: [8][1820/7045]	Time 0.252 (0.257)	Data 0.192 (0.193)	Loss 4.9561 (5.0087)	Prec@1 7.812 (4.669)	Prec@5 21.484 (16.025)
Epoch: [8][1830/7045]	Time 0.109 (0.257)	Data 0.056 (0.193)	Loss 4.9078 (5.0091)	Prec@1 6.641 (4.667)	Prec@5 16.406 (16.014)
Epoch: [8][1840/7045]	Time 0.242 (0.257)	Data 0.184 (0.193)	Loss 5.1631 (5.0090)	Prec@1 5.859 (4.669)	Prec@5 14.844 (16.016)
Epoch: [8][1850/7045]	Time 0.103 (0.257)	Data 0.051 (0.193)	Loss 4.8907 (5.0089)	Prec@1 3.906 (4.669)	Prec@5 18.750 (16.017)
Epoch: [8][1860/7045]	Time 0.100 (0.257)	Data 0.009 (0.193)	Loss 4.9888 (5.0088)	Prec@1 4.297 (4.670)	Prec@5 15.234 (16.015)
Epoch: [8][1870/7045]	Time 0.210 (0.257)	Data 0.159 (0.193)	Loss 4.9237 (5.0088)	Prec@1 5.469 (4.671)	Prec@5 17.969 (16.018)
Epoch: [8][1880/7045]	Time 0.102 (0.257)	Data 0.001 (0.193)	Loss 5.0950 (5.0089)	Prec@1 5.078 (4.673)	Prec@5 14.844 (16.021)
Epoch: [8][1890/7045]	Time 0.307 (0.257)	Data 0.256 (0.193)	Loss 5.0286 (5.0089)	Prec@1 4.688 (4.672)	Prec@5 16.016 (16.019)
Epoch: [8][1900/7045]	Time 0.101 (0.257)	Data 0.018 (0.193)	Loss 4.9980 (5.0089)	Prec@1 5.469 (4.669)	Prec@5 16.406 (16.015)
Epoch: [8][1910/7045]	Time 0.703 (0.257)	Data 0.643 (0.193)	Loss 4.8553 (5.0089)	Prec@1 5.469 (4.667)	Prec@5 15.625 (16.015)
Epoch: [8][1920/7045]	Time 0.109 (0.257)	Data 0.056 (0.193)	Loss 5.0658 (5.0087)	Prec@1 5.078 (4.670)	Prec@5 16.797 (16.023)
Epoch: [8][1930/7045]	Time 0.504 (0.257)	Data 0.452 (0.193)	Loss 5.0303 (5.0088)	Prec@1 5.078 (4.672)	Prec@5 15.234 (16.021)
Epoch: [8][1940/7045]	Time 0.102 (0.257)	Data 0.018 (0.193)	Loss 4.9965 (5.0089)	Prec@1 4.688 (4.671)	Prec@5 16.016 (16.015)
Epoch: [8][1950/7045]	Time 0.451 (0.257)	Data 0.399 (0.193)	Loss 4.9593 (5.0093)	Prec@1 4.297 (4.667)	Prec@5 17.578 (16.011)
Epoch: [8][1960/7045]	Time 0.344 (0.257)	Data 0.294 (0.193)	Loss 5.1339 (5.0094)	Prec@1 2.734 (4.664)	Prec@5 12.891 (16.008)
Epoch: [8][1970/7045]	Time 0.469 (0.257)	Data 0.418 (0.193)	Loss 4.9065 (5.0094)	Prec@1 5.469 (4.664)	Prec@5 18.359 (16.011)
Epoch: [8][1980/7045]	Time 0.177 (0.257)	Data 0.126 (0.193)	Loss 4.9604 (5.0093)	Prec@1 3.906 (4.667)	Prec@5 16.797 (16.012)
Epoch: [8][1990/7045]	Time 0.659 (0.257)	Data 0.608 (0.193)	Loss 4.9003 (5.0090)	Prec@1 4.688 (4.669)	Prec@5 17.578 (16.017)
Epoch: [8][2000/7045]	Time 0.100 (0.257)	Data 0.001 (0.193)	Loss 5.0048 (5.0088)	Prec@1 4.688 (4.669)	Prec@5 16.406 (16.021)
Epoch: [8][2010/7045]	Time 0.596 (0.257)	Data 0.536 (0.193)	Loss 5.0361 (5.0088)	Prec@1 3.906 (4.668)	Prec@5 17.578 (16.024)
Epoch: [8][2020/7045]	Time 0.102 (0.257)	Data 0.001 (0.193)	Loss 5.0644 (5.0088)	Prec@1 3.516 (4.668)	Prec@5 15.625 (16.028)
Epoch: [8][2030/7045]	Time 0.631 (0.257)	Data 0.580 (0.193)	Loss 5.0723 (5.0084)	Prec@1 5.078 (4.672)	Prec@5 16.016 (16.036)
Epoch: [8][2040/7045]	Time 0.101 (0.256)	Data 0.001 (0.192)	Loss 5.0346 (5.0082)	Prec@1 3.516 (4.672)	Prec@5 12.891 (16.038)
Epoch: [8][2050/7045]	Time 0.927 (0.257)	Data 0.876 (0.193)	Loss 4.8181 (5.0079)	Prec@1 7.812 (4.671)	Prec@5 18.359 (16.040)
Epoch: [8][2060/7045]	Time 0.102 (0.257)	Data 0.010 (0.192)	Loss 4.9326 (5.0078)	Prec@1 4.297 (4.671)	Prec@5 17.578 (16.041)
Epoch: [8][2070/7045]	Time 0.585 (0.257)	Data 0.534 (0.192)	Loss 4.9915 (5.0076)	Prec@1 3.906 (4.670)	Prec@5 16.406 (16.044)
Epoch: [8][2080/7045]	Time 0.134 (0.257)	Data 0.082 (0.192)	Loss 5.0332 (5.0075)	Prec@1 4.297 (4.670)	Prec@5 16.797 (16.048)
Epoch: [8][2090/7045]	Time 0.620 (0.257)	Data 0.568 (0.192)	Loss 5.0280 (5.0076)	Prec@1 5.078 (4.669)	Prec@5 14.844 (16.043)
Epoch: [8][2100/7045]	Time 0.384 (0.257)	Data 0.332 (0.192)	Loss 4.9611 (5.0079)	Prec@1 4.688 (4.665)	Prec@5 16.406 (16.035)
Epoch: [8][2110/7045]	Time 0.111 (0.256)	Data 0.011 (0.192)	Loss 5.1540 (5.0084)	Prec@1 3.516 (4.665)	Prec@5 16.406 (16.030)
Epoch: [8][2120/7045]	Time 0.720 (0.257)	Data 0.670 (0.192)	Loss 5.1306 (5.0086)	Prec@1 3.125 (4.662)	Prec@5 12.500 (16.020)
Epoch: [8][2130/7045]	Time 0.101 (0.257)	Data 0.001 (0.192)	Loss 5.0604 (5.0085)	Prec@1 4.688 (4.663)	Prec@5 13.672 (16.020)
Epoch: [8][2140/7045]	Time 0.668 (0.257)	Data 0.611 (0.192)	Loss 4.9316 (5.0082)	Prec@1 6.250 (4.664)	Prec@5 18.750 (16.027)
Epoch: [8][2150/7045]	Time 0.108 (0.257)	Data 0.055 (0.192)	Loss 5.0074 (5.0082)	Prec@1 5.469 (4.662)	Prec@5 19.141 (16.028)
Epoch: [8][2160/7045]	Time 0.520 (0.257)	Data 0.470 (0.192)	Loss 5.0328 (5.0080)	Prec@1 3.906 (4.662)	Prec@5 14.453 (16.034)
Epoch: [8][2170/7045]	Time 0.119 (0.256)	Data 0.068 (0.192)	Loss 4.9712 (5.0080)	Prec@1 5.078 (4.665)	Prec@5 19.141 (16.035)
Epoch: [8][2180/7045]	Time 0.217 (0.256)	Data 0.166 (0.192)	Loss 5.0023 (5.0081)	Prec@1 3.906 (4.664)	Prec@5 14.062 (16.031)
Epoch: [8][2190/7045]	Time 0.109 (0.257)	Data 0.001 (0.192)	Loss 4.9702 (5.0082)	Prec@1 5.859 (4.666)	Prec@5 14.062 (16.028)
Epoch: [8][2200/7045]	Time 0.231 (0.256)	Data 0.180 (0.192)	Loss 5.0452 (5.0081)	Prec@1 6.250 (4.667)	Prec@5 15.625 (16.026)
Epoch: [8][2210/7045]	Time 0.102 (0.256)	Data 0.006 (0.192)	Loss 4.8853 (5.0080)	Prec@1 3.516 (4.666)	Prec@5 21.484 (16.028)
Epoch: [8][2220/7045]	Time 0.406 (0.256)	Data 0.356 (0.192)	Loss 5.0693 (5.0080)	Prec@1 6.641 (4.668)	Prec@5 16.406 (16.031)
Epoch: [8][2230/7045]	Time 0.243 (0.256)	Data 0.191 (0.192)	Loss 4.8346 (5.0078)	Prec@1 7.422 (4.672)	Prec@5 18.359 (16.033)
Epoch: [8][2240/7045]	Time 0.191 (0.256)	Data 0.141 (0.192)	Loss 4.9673 (5.0075)	Prec@1 5.469 (4.675)	Prec@5 18.750 (16.038)
Epoch: [8][2250/7045]	Time 0.586 (0.256)	Data 0.536 (0.192)	Loss 5.1047 (5.0077)	Prec@1 3.516 (4.671)	Prec@5 14.062 (16.030)
Epoch: [8][2260/7045]	Time 0.110 (0.256)	Data 0.059 (0.192)	Loss 5.0062 (5.0077)	Prec@1 4.297 (4.670)	Prec@5 16.016 (16.029)
Epoch: [8][2270/7045]	Time 0.366 (0.256)	Data 0.315 (0.192)	Loss 5.0096 (5.0075)	Prec@1 4.688 (4.671)	Prec@5 16.016 (16.030)
Epoch: [8][2280/7045]	Time 0.310 (0.256)	Data 0.259 (0.192)	Loss 4.8974 (5.0076)	Prec@1 5.469 (4.670)	Prec@5 19.141 (16.028)
Epoch: [8][2290/7045]	Time 0.102 (0.256)	Data 0.016 (0.192)	Loss 5.0591 (5.0075)	Prec@1 3.906 (4.669)	Prec@5 14.453 (16.028)
Epoch: [8][2300/7045]	Time 0.139 (0.256)	Data 0.087 (0.192)	Loss 4.8530 (5.0076)	Prec@1 5.078 (4.669)	Prec@5 20.703 (16.028)
Epoch: [8][2310/7045]	Time 0.204 (0.256)	Data 0.154 (0.192)	Loss 4.9568 (5.0079)	Prec@1 3.906 (4.668)	Prec@5 16.016 (16.026)
Epoch: [8][2320/7045]	Time 0.282 (0.256)	Data 0.231 (0.192)	Loss 4.9751 (5.0081)	Prec@1 6.641 (4.667)	Prec@5 18.750 (16.027)
Epoch: [8][2330/7045]	Time 0.245 (0.256)	Data 0.195 (0.192)	Loss 5.0471 (5.0083)	Prec@1 3.516 (4.666)	Prec@5 10.938 (16.021)
Epoch: [8][2340/7045]	Time 0.146 (0.256)	Data 0.093 (0.192)	Loss 5.0665 (5.0084)	Prec@1 3.906 (4.663)	Prec@5 15.625 (16.017)
Epoch: [8][2350/7045]	Time 0.488 (0.256)	Data 0.431 (0.192)	Loss 4.9504 (5.0084)	Prec@1 3.906 (4.661)	Prec@5 15.234 (16.020)
Epoch: [8][2360/7045]	Time 0.107 (0.256)	Data 0.055 (0.192)	Loss 5.0503 (5.0084)	Prec@1 5.078 (4.660)	Prec@5 14.062 (16.016)
Epoch: [8][2370/7045]	Time 0.620 (0.256)	Data 0.567 (0.192)	Loss 5.1856 (5.0085)	Prec@1 3.125 (4.659)	Prec@5 10.938 (16.012)
Epoch: [8][2380/7045]	Time 0.131 (0.256)	Data 0.079 (0.192)	Loss 5.0929 (5.0085)	Prec@1 4.297 (4.657)	Prec@5 13.281 (16.008)
Epoch: [8][2390/7045]	Time 0.448 (0.256)	Data 0.397 (0.192)	Loss 5.1082 (5.0086)	Prec@1 4.688 (4.659)	Prec@5 15.625 (16.002)
Epoch: [8][2400/7045]	Time 0.108 (0.256)	Data 0.056 (0.192)	Loss 5.1153 (5.0085)	Prec@1 4.688 (4.662)	Prec@5 15.234 (16.003)
Epoch: [8][2410/7045]	Time 0.827 (0.257)	Data 0.766 (0.193)	Loss 5.0064 (5.0084)	Prec@1 6.250 (4.659)	Prec@5 15.234 (16.004)
Epoch: [8][2420/7045]	Time 0.101 (0.256)	Data 0.001 (0.192)	Loss 5.1051 (5.0085)	Prec@1 3.516 (4.661)	Prec@5 12.500 (16.005)
Epoch: [8][2430/7045]	Time 0.667 (0.257)	Data 0.615 (0.192)	Loss 5.1710 (5.0092)	Prec@1 3.125 (4.656)	Prec@5 14.062 (15.994)
Epoch: [8][2440/7045]	Time 0.103 (0.257)	Data 0.001 (0.192)	Loss 5.0834 (5.0096)	Prec@1 2.734 (4.651)	Prec@5 16.797 (15.986)
Epoch: [8][2450/7045]	Time 0.519 (0.256)	Data 0.468 (0.192)	Loss 5.0670 (5.0096)	Prec@1 4.297 (4.650)	Prec@5 13.672 (15.983)
Epoch: [8][2460/7045]	Time 0.113 (0.256)	Data 0.001 (0.192)	Loss 5.1938 (5.0096)	Prec@1 2.344 (4.650)	Prec@5 12.891 (15.981)
Epoch: [8][2470/7045]	Time 0.536 (0.256)	Data 0.483 (0.192)	Loss 4.9751 (5.0098)	Prec@1 5.469 (4.649)	Prec@5 17.578 (15.976)
Epoch: [8][2480/7045]	Time 0.111 (0.256)	Data 0.001 (0.192)	Loss 4.9233 (5.0097)	Prec@1 4.297 (4.650)	Prec@5 13.281 (15.973)
Epoch: [8][2490/7045]	Time 0.563 (0.256)	Data 0.511 (0.192)	Loss 5.0240 (5.0099)	Prec@1 3.125 (4.646)	Prec@5 10.547 (15.968)
Epoch: [8][2500/7045]	Time 0.112 (0.256)	Data 0.059 (0.192)	Loss 5.0973 (5.0099)	Prec@1 3.125 (4.644)	Prec@5 12.891 (15.965)
Epoch: [8][2510/7045]	Time 0.628 (0.256)	Data 0.578 (0.192)	Loss 5.0033 (5.0100)	Prec@1 6.250 (4.643)	Prec@5 14.062 (15.963)
Epoch: [8][2520/7045]	Time 0.232 (0.256)	Data 0.181 (0.192)	Loss 4.9984 (5.0101)	Prec@1 4.688 (4.638)	Prec@5 16.797 (15.959)
Epoch: [8][2530/7045]	Time 0.125 (0.256)	Data 0.072 (0.192)	Loss 5.0358 (5.0100)	Prec@1 5.078 (4.640)	Prec@5 16.797 (15.961)
Epoch: [8][2540/7045]	Time 0.111 (0.256)	Data 0.058 (0.192)	Loss 5.0386 (5.0100)	Prec@1 5.859 (4.640)	Prec@5 15.625 (15.964)
Epoch: [8][2550/7045]	Time 0.210 (0.256)	Data 0.158 (0.192)	Loss 4.9717 (5.0097)	Prec@1 5.078 (4.644)	Prec@5 16.797 (15.968)
Epoch: [8][2560/7045]	Time 0.101 (0.256)	Data 0.014 (0.192)	Loss 4.9750 (5.0096)	Prec@1 4.297 (4.644)	Prec@5 14.453 (15.968)
Epoch: [8][2570/7045]	Time 0.255 (0.256)	Data 0.204 (0.192)	Loss 5.0547 (5.0097)	Prec@1 3.516 (4.645)	Prec@5 12.500 (15.966)
Epoch: [8][2580/7045]	Time 0.108 (0.256)	Data 0.057 (0.192)	Loss 4.9643 (5.0098)	Prec@1 5.469 (4.641)	Prec@5 18.750 (15.963)
Epoch: [8][2590/7045]	Time 0.360 (0.256)	Data 0.302 (0.192)	Loss 5.1132 (5.0101)	Prec@1 2.734 (4.641)	Prec@5 12.109 (15.957)
Epoch: [8][2600/7045]	Time 0.103 (0.256)	Data 0.001 (0.192)	Loss 4.9690 (5.0100)	Prec@1 3.516 (4.642)	Prec@5 14.844 (15.956)
Epoch: [8][2610/7045]	Time 0.254 (0.256)	Data 0.195 (0.192)	Loss 5.0856 (5.0099)	Prec@1 2.344 (4.638)	Prec@5 12.891 (15.957)
Epoch: [8][2620/7045]	Time 0.119 (0.256)	Data 0.068 (0.192)	Loss 4.9881 (5.0099)	Prec@1 5.078 (4.638)	Prec@5 19.531 (15.960)
Epoch: [8][2630/7045]	Time 0.208 (0.256)	Data 0.157 (0.192)	Loss 4.8719 (5.0098)	Prec@1 5.859 (4.640)	Prec@5 18.750 (15.961)
Epoch: [8][2640/7045]	Time 0.102 (0.256)	Data 0.001 (0.192)	Loss 4.8720 (5.0098)	Prec@1 5.078 (4.639)	Prec@5 16.406 (15.961)
Epoch: [8][2650/7045]	Time 0.402 (0.256)	Data 0.344 (0.192)	Loss 5.0495 (5.0096)	Prec@1 3.516 (4.641)	Prec@5 16.016 (15.967)
Epoch: [8][2660/7045]	Time 0.204 (0.256)	Data 0.153 (0.192)	Loss 5.0480 (5.0096)	Prec@1 3.516 (4.643)	Prec@5 14.062 (15.966)
Epoch: [8][2670/7045]	Time 0.540 (0.256)	Data 0.488 (0.192)	Loss 4.9163 (5.0095)	Prec@1 4.297 (4.643)	Prec@5 14.844 (15.968)
Epoch: [8][2680/7045]	Time 0.101 (0.256)	Data 0.001 (0.192)	Loss 4.9211 (5.0095)	Prec@1 5.078 (4.646)	Prec@5 17.578 (15.975)
Epoch: [8][2690/7045]	Time 0.547 (0.256)	Data 0.496 (0.192)	Loss 4.9461 (5.0094)	Prec@1 5.859 (4.646)	Prec@5 16.406 (15.980)
Epoch: [8][2700/7045]	Time 0.103 (0.256)	Data 0.008 (0.192)	Loss 4.8649 (5.0094)	Prec@1 5.078 (4.646)	Prec@5 19.531 (15.981)
Epoch: [8][2710/7045]	Time 0.112 (0.256)	Data 0.061 (0.192)	Loss 5.0436 (5.0093)	Prec@1 7.422 (4.649)	Prec@5 16.797 (15.983)
Epoch: [8][2720/7045]	Time 0.218 (0.256)	Data 0.167 (0.192)	Loss 4.9275 (5.0092)	Prec@1 5.859 (4.650)	Prec@5 16.406 (15.982)
Epoch: [8][2730/7045]	Time 0.103 (0.256)	Data 0.001 (0.192)	Loss 4.9802 (5.0093)	Prec@1 5.469 (4.650)	Prec@5 17.188 (15.983)
Epoch: [8][2740/7045]	Time 0.210 (0.256)	Data 0.159 (0.192)	Loss 5.1206 (5.0095)	Prec@1 5.469 (4.649)	Prec@5 20.312 (15.987)
Epoch: [8][2750/7045]	Time 0.105 (0.256)	Data 0.053 (0.192)	Loss 5.0156 (5.0097)	Prec@1 3.906 (4.647)	Prec@5 13.672 (15.986)
Epoch: [8][2760/7045]	Time 0.747 (0.256)	Data 0.684 (0.192)	Loss 5.1008 (5.0100)	Prec@1 3.125 (4.644)	Prec@5 12.500 (15.982)
Epoch: [8][2770/7045]	Time 0.101 (0.256)	Data 0.001 (0.192)	Loss 5.0468 (5.0101)	Prec@1 2.734 (4.644)	Prec@5 17.188 (15.980)
Epoch: [8][2780/7045]	Time 0.697 (0.256)	Data 0.635 (0.192)	Loss 5.0148 (5.0100)	Prec@1 3.125 (4.644)	Prec@5 14.062 (15.983)
Epoch: [8][2790/7045]	Time 0.102 (0.256)	Data 0.012 (0.191)	Loss 5.0897 (5.0100)	Prec@1 4.297 (4.645)	Prec@5 13.672 (15.985)
Epoch: [8][2800/7045]	Time 0.255 (0.256)	Data 0.205 (0.191)	Loss 5.0581 (5.0100)	Prec@1 3.516 (4.644)	Prec@5 15.625 (15.984)
Epoch: [8][2810/7045]	Time 0.279 (0.256)	Data 0.228 (0.191)	Loss 4.9416 (5.0101)	Prec@1 7.031 (4.645)	Prec@5 17.969 (15.986)
Epoch: [8][2820/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 4.9186 (5.0101)	Prec@1 2.344 (4.645)	Prec@5 17.578 (15.986)
Epoch: [8][2830/7045]	Time 0.103 (0.256)	Data 0.005 (0.191)	Loss 4.9974 (5.0101)	Prec@1 4.688 (4.643)	Prec@5 13.672 (15.985)
Epoch: [8][2840/7045]	Time 0.101 (0.256)	Data 0.048 (0.191)	Loss 5.0781 (5.0100)	Prec@1 2.344 (4.643)	Prec@5 17.969 (15.986)
Epoch: [8][2850/7045]	Time 0.364 (0.256)	Data 0.312 (0.191)	Loss 4.9783 (5.0100)	Prec@1 4.688 (4.642)	Prec@5 16.016 (15.988)
Epoch: [8][2860/7045]	Time 0.216 (0.256)	Data 0.165 (0.191)	Loss 5.0253 (5.0099)	Prec@1 4.688 (4.643)	Prec@5 14.062 (15.988)
Epoch: [8][2870/7045]	Time 0.902 (0.256)	Data 0.850 (0.191)	Loss 4.9875 (5.0099)	Prec@1 5.469 (4.645)	Prec@5 16.406 (15.991)
Epoch: [8][2880/7045]	Time 0.163 (0.256)	Data 0.111 (0.191)	Loss 4.9901 (5.0097)	Prec@1 5.469 (4.647)	Prec@5 17.969 (15.991)
Epoch: [8][2890/7045]	Time 0.356 (0.256)	Data 0.305 (0.191)	Loss 4.8227 (5.0099)	Prec@1 5.078 (4.646)	Prec@5 17.188 (15.989)
Epoch: [8][2900/7045]	Time 0.102 (0.256)	Data 0.011 (0.191)	Loss 5.0047 (5.0101)	Prec@1 3.906 (4.642)	Prec@5 17.969 (15.989)
Epoch: [8][2910/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 5.2178 (5.0104)	Prec@1 1.953 (4.640)	Prec@5 15.234 (15.984)
Epoch: [8][2920/7045]	Time 0.241 (0.256)	Data 0.190 (0.191)	Loss 5.1136 (5.0108)	Prec@1 2.734 (4.637)	Prec@5 12.891 (15.976)
Epoch: [8][2930/7045]	Time 0.379 (0.256)	Data 0.328 (0.191)	Loss 5.1835 (5.0111)	Prec@1 3.125 (4.633)	Prec@5 13.281 (15.973)
Epoch: [8][2940/7045]	Time 0.571 (0.256)	Data 0.521 (0.191)	Loss 5.0854 (5.0110)	Prec@1 6.641 (4.635)	Prec@5 16.406 (15.975)
Epoch: [8][2950/7045]	Time 0.101 (0.256)	Data 0.046 (0.191)	Loss 5.0210 (5.0111)	Prec@1 5.859 (4.636)	Prec@5 11.328 (15.970)
Epoch: [8][2960/7045]	Time 0.099 (0.256)	Data 0.007 (0.191)	Loss 5.0087 (5.0113)	Prec@1 3.125 (4.634)	Prec@5 12.891 (15.967)
Epoch: [8][2970/7045]	Time 0.109 (0.256)	Data 0.058 (0.191)	Loss 5.1398 (5.0112)	Prec@1 5.078 (4.634)	Prec@5 16.016 (15.969)
Epoch: [8][2980/7045]	Time 0.208 (0.256)	Data 0.155 (0.191)	Loss 4.9948 (5.0112)	Prec@1 4.297 (4.634)	Prec@5 15.625 (15.968)
Epoch: [8][2990/7045]	Time 0.101 (0.256)	Data 0.001 (0.191)	Loss 4.9188 (5.0112)	Prec@1 5.078 (4.634)	Prec@5 18.359 (15.970)
Epoch: [8][3000/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 4.9390 (5.0111)	Prec@1 5.078 (4.636)	Prec@5 18.359 (15.971)
Epoch: [8][3010/7045]	Time 0.183 (0.256)	Data 0.130 (0.191)	Loss 4.9707 (5.0110)	Prec@1 4.688 (4.636)	Prec@5 15.625 (15.970)
Epoch: [8][3020/7045]	Time 0.608 (0.256)	Data 0.558 (0.191)	Loss 4.9272 (5.0109)	Prec@1 2.734 (4.634)	Prec@5 15.234 (15.972)
Epoch: [8][3030/7045]	Time 0.100 (0.256)	Data 0.001 (0.191)	Loss 5.0259 (5.0110)	Prec@1 5.859 (4.636)	Prec@5 14.844 (15.974)
Epoch: [8][3040/7045]	Time 0.526 (0.256)	Data 0.476 (0.191)	Loss 5.0404 (5.0111)	Prec@1 5.078 (4.637)	Prec@5 17.188 (15.969)
Epoch: [8][3050/7045]	Time 0.103 (0.256)	Data 0.010 (0.191)	Loss 5.0961 (5.0111)	Prec@1 4.297 (4.635)	Prec@5 15.625 (15.966)
Epoch: [8][3060/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 4.9480 (5.0111)	Prec@1 4.688 (4.634)	Prec@5 16.406 (15.965)
Epoch: [8][3070/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 4.9817 (5.0110)	Prec@1 2.344 (4.633)	Prec@5 14.062 (15.964)
Epoch: [8][3080/7045]	Time 0.107 (0.256)	Data 0.054 (0.191)	Loss 5.0106 (5.0112)	Prec@1 2.734 (4.631)	Prec@5 17.969 (15.964)
Epoch: [8][3090/7045]	Time 0.099 (0.256)	Data 0.001 (0.191)	Loss 5.1074 (5.0116)	Prec@1 6.641 (4.631)	Prec@5 17.188 (15.959)
Epoch: [8][3100/7045]	Time 0.230 (0.256)	Data 0.179 (0.191)	Loss 5.0615 (5.0118)	Prec@1 3.516 (4.630)	Prec@5 12.500 (15.957)
Epoch: [8][3110/7045]	Time 0.151 (0.256)	Data 0.100 (0.191)	Loss 4.9742 (5.0117)	Prec@1 3.125 (4.629)	Prec@5 16.406 (15.958)
Epoch: [8][3120/7045]	Time 0.541 (0.256)	Data 0.491 (0.191)	Loss 5.0277 (5.0118)	Prec@1 5.469 (4.629)	Prec@5 16.016 (15.953)
Epoch: [8][3130/7045]	Time 0.110 (0.256)	Data 0.001 (0.191)	Loss 4.8517 (5.0117)	Prec@1 5.469 (4.628)	Prec@5 17.188 (15.956)
Epoch: [8][3140/7045]	Time 0.117 (0.256)	Data 0.066 (0.191)	Loss 4.9679 (5.0115)	Prec@1 5.859 (4.629)	Prec@5 16.797 (15.960)
Epoch: [8][3150/7045]	Time 0.120 (0.256)	Data 0.068 (0.191)	Loss 5.1060 (5.0115)	Prec@1 3.906 (4.630)	Prec@5 13.281 (15.960)
Epoch: [8][3160/7045]	Time 0.211 (0.256)	Data 0.161 (0.191)	Loss 4.9825 (5.0116)	Prec@1 5.078 (4.630)	Prec@5 18.750 (15.961)
Epoch: [8][3170/7045]	Time 0.269 (0.256)	Data 0.207 (0.191)	Loss 4.9867 (5.0119)	Prec@1 8.594 (4.629)	Prec@5 17.188 (15.957)
Epoch: [8][3180/7045]	Time 0.547 (0.256)	Data 0.495 (0.191)	Loss 4.9190 (5.0119)	Prec@1 5.078 (4.630)	Prec@5 14.453 (15.957)
Epoch: [8][3190/7045]	Time 0.101 (0.256)	Data 0.001 (0.191)	Loss 5.1090 (5.0122)	Prec@1 4.688 (4.628)	Prec@5 15.234 (15.952)
Epoch: [8][3200/7045]	Time 0.639 (0.256)	Data 0.580 (0.191)	Loss 5.0893 (5.0123)	Prec@1 4.688 (4.629)	Prec@5 17.188 (15.951)
Epoch: [8][3210/7045]	Time 0.108 (0.256)	Data 0.057 (0.191)	Loss 4.8912 (5.0123)	Prec@1 4.688 (4.627)	Prec@5 19.922 (15.950)
Epoch: [8][3220/7045]	Time 0.436 (0.256)	Data 0.386 (0.191)	Loss 5.1896 (5.0126)	Prec@1 1.953 (4.622)	Prec@5 11.328 (15.943)
Epoch: [8][3230/7045]	Time 0.201 (0.256)	Data 0.151 (0.191)	Loss 5.0715 (5.0127)	Prec@1 4.688 (4.623)	Prec@5 14.062 (15.939)
Epoch: [8][3240/7045]	Time 0.170 (0.256)	Data 0.119 (0.191)	Loss 5.1254 (5.0130)	Prec@1 3.906 (4.622)	Prec@5 16.797 (15.937)
Epoch: [8][3250/7045]	Time 0.218 (0.256)	Data 0.167 (0.191)	Loss 5.1863 (5.0132)	Prec@1 2.734 (4.620)	Prec@5 13.672 (15.933)
Epoch: [8][3260/7045]	Time 0.106 (0.256)	Data 0.055 (0.191)	Loss 4.8764 (5.0132)	Prec@1 5.859 (4.621)	Prec@5 19.141 (15.935)
Epoch: [8][3270/7045]	Time 0.354 (0.256)	Data 0.296 (0.191)	Loss 5.0881 (5.0133)	Prec@1 3.906 (4.622)	Prec@5 13.672 (15.934)
Epoch: [8][3280/7045]	Time 0.106 (0.256)	Data 0.052 (0.191)	Loss 4.9818 (5.0134)	Prec@1 5.859 (4.622)	Prec@5 16.016 (15.931)
Epoch: [8][3290/7045]	Time 0.464 (0.256)	Data 0.412 (0.191)	Loss 5.0241 (5.0134)	Prec@1 5.469 (4.625)	Prec@5 19.141 (15.933)
Epoch: [8][3300/7045]	Time 0.101 (0.256)	Data 0.007 (0.191)	Loss 5.0073 (5.0133)	Prec@1 4.688 (4.622)	Prec@5 15.234 (15.930)
Epoch: [8][3310/7045]	Time 0.673 (0.256)	Data 0.621 (0.191)	Loss 4.9866 (5.0133)	Prec@1 4.297 (4.621)	Prec@5 16.797 (15.929)
Epoch: [8][3320/7045]	Time 0.101 (0.256)	Data 0.001 (0.191)	Loss 5.0706 (5.0134)	Prec@1 4.688 (4.622)	Prec@5 14.453 (15.927)
Epoch: [8][3330/7045]	Time 0.886 (0.256)	Data 0.834 (0.191)	Loss 4.8897 (5.0134)	Prec@1 4.688 (4.621)	Prec@5 19.922 (15.927)
Epoch: [8][3340/7045]	Time 0.099 (0.256)	Data 0.001 (0.191)	Loss 5.0755 (5.0135)	Prec@1 2.344 (4.619)	Prec@5 12.109 (15.925)
Epoch: [8][3350/7045]	Time 0.587 (0.256)	Data 0.536 (0.191)	Loss 4.8867 (5.0133)	Prec@1 5.078 (4.619)	Prec@5 16.406 (15.927)
Epoch: [8][3360/7045]	Time 0.237 (0.256)	Data 0.186 (0.191)	Loss 4.9290 (5.0132)	Prec@1 7.422 (4.620)	Prec@5 19.531 (15.930)
Epoch: [8][3370/7045]	Time 0.102 (0.256)	Data 0.050 (0.191)	Loss 5.1689 (5.0134)	Prec@1 3.906 (4.621)	Prec@5 15.234 (15.928)
Epoch: [8][3380/7045]	Time 0.109 (0.256)	Data 0.015 (0.191)	Loss 5.1422 (5.0135)	Prec@1 4.297 (4.622)	Prec@5 16.797 (15.927)
Epoch: [8][3390/7045]	Time 0.116 (0.256)	Data 0.065 (0.191)	Loss 5.1169 (5.0138)	Prec@1 4.688 (4.620)	Prec@5 14.453 (15.922)
Epoch: [8][3400/7045]	Time 0.246 (0.256)	Data 0.194 (0.191)	Loss 5.0516 (5.0139)	Prec@1 3.125 (4.618)	Prec@5 15.234 (15.918)
Epoch: [8][3410/7045]	Time 0.101 (0.256)	Data 0.006 (0.191)	Loss 4.9188 (5.0138)	Prec@1 7.422 (4.620)	Prec@5 22.656 (15.920)
Epoch: [8][3420/7045]	Time 0.536 (0.256)	Data 0.485 (0.191)	Loss 5.1248 (5.0139)	Prec@1 3.906 (4.619)	Prec@5 15.625 (15.919)
Epoch: [8][3430/7045]	Time 0.114 (0.256)	Data 0.062 (0.191)	Loss 5.0387 (5.0139)	Prec@1 6.641 (4.618)	Prec@5 19.531 (15.916)
Epoch: [8][3440/7045]	Time 0.646 (0.256)	Data 0.587 (0.191)	Loss 4.9477 (5.0139)	Prec@1 5.078 (4.619)	Prec@5 16.016 (15.916)
Epoch: [8][3450/7045]	Time 0.101 (0.256)	Data 0.001 (0.191)	Loss 4.9243 (5.0137)	Prec@1 4.688 (4.620)	Prec@5 19.922 (15.921)
Epoch: [8][3460/7045]	Time 0.546 (0.256)	Data 0.495 (0.191)	Loss 5.0377 (5.0137)	Prec@1 4.688 (4.618)	Prec@5 12.891 (15.920)
Epoch: [8][3470/7045]	Time 0.102 (0.256)	Data 0.014 (0.191)	Loss 5.0700 (5.0136)	Prec@1 4.688 (4.620)	Prec@5 15.625 (15.922)
Epoch: [8][3480/7045]	Time 0.428 (0.256)	Data 0.377 (0.191)	Loss 4.8608 (5.0135)	Prec@1 4.688 (4.622)	Prec@5 16.016 (15.924)
Epoch: [8][3490/7045]	Time 0.119 (0.256)	Data 0.068 (0.191)	Loss 4.9602 (5.0135)	Prec@1 4.297 (4.621)	Prec@5 16.016 (15.926)
Epoch: [8][3500/7045]	Time 0.101 (0.256)	Data 0.001 (0.191)	Loss 4.8696 (5.0134)	Prec@1 4.688 (4.622)	Prec@5 19.922 (15.929)
Epoch: [8][3510/7045]	Time 0.444 (0.256)	Data 0.392 (0.191)	Loss 5.0229 (5.0134)	Prec@1 7.031 (4.622)	Prec@5 16.797 (15.930)
Epoch: [8][3520/7045]	Time 0.102 (0.256)	Data 0.011 (0.191)	Loss 5.0722 (5.0135)	Prec@1 3.906 (4.620)	Prec@5 16.797 (15.928)
Epoch: [8][3530/7045]	Time 0.102 (0.256)	Data 0.016 (0.191)	Loss 5.0874 (5.0138)	Prec@1 3.906 (4.620)	Prec@5 14.453 (15.926)
Epoch: [8][3540/7045]	Time 0.412 (0.256)	Data 0.360 (0.191)	Loss 5.0411 (5.0138)	Prec@1 3.906 (4.618)	Prec@5 15.625 (15.924)
Epoch: [8][3550/7045]	Time 0.160 (0.256)	Data 0.109 (0.191)	Loss 5.0369 (5.0139)	Prec@1 3.906 (4.616)	Prec@5 12.891 (15.921)
Epoch: [8][3560/7045]	Time 0.627 (0.256)	Data 0.577 (0.191)	Loss 5.0864 (5.0140)	Prec@1 5.859 (4.617)	Prec@5 13.672 (15.921)
Epoch: [8][3570/7045]	Time 0.356 (0.256)	Data 0.305 (0.191)	Loss 4.9726 (5.0139)	Prec@1 3.516 (4.617)	Prec@5 16.016 (15.924)
Epoch: [8][3580/7045]	Time 0.102 (0.256)	Data 0.008 (0.191)	Loss 4.9925 (5.0138)	Prec@1 3.125 (4.616)	Prec@5 16.797 (15.926)
Epoch: [8][3590/7045]	Time 0.170 (0.256)	Data 0.119 (0.191)	Loss 4.9268 (5.0137)	Prec@1 4.688 (4.617)	Prec@5 16.797 (15.928)
Epoch: [8][3600/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 5.0670 (5.0136)	Prec@1 3.906 (4.616)	Prec@5 12.891 (15.929)
Epoch: [8][3610/7045]	Time 0.190 (0.256)	Data 0.140 (0.191)	Loss 4.8538 (5.0135)	Prec@1 4.297 (4.618)	Prec@5 14.062 (15.929)
Epoch: [8][3620/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 4.8080 (5.0133)	Prec@1 6.250 (4.619)	Prec@5 17.969 (15.928)
Epoch: [8][3630/7045]	Time 0.645 (0.256)	Data 0.595 (0.191)	Loss 4.9703 (5.0132)	Prec@1 4.297 (4.621)	Prec@5 13.672 (15.931)
Epoch: [8][3640/7045]	Time 0.108 (0.256)	Data 0.001 (0.191)	Loss 4.9681 (5.0131)	Prec@1 4.297 (4.623)	Prec@5 14.844 (15.935)
Epoch: [8][3650/7045]	Time 0.413 (0.256)	Data 0.363 (0.191)	Loss 5.0402 (5.0132)	Prec@1 5.469 (4.622)	Prec@5 14.062 (15.931)
Epoch: [8][3660/7045]	Time 0.272 (0.256)	Data 0.220 (0.191)	Loss 5.0872 (5.0133)	Prec@1 3.516 (4.623)	Prec@5 12.109 (15.931)
Epoch: [8][3670/7045]	Time 0.155 (0.256)	Data 0.103 (0.191)	Loss 5.0023 (5.0131)	Prec@1 6.641 (4.624)	Prec@5 15.625 (15.935)
Epoch: [8][3680/7045]	Time 0.238 (0.256)	Data 0.186 (0.191)	Loss 5.0384 (5.0132)	Prec@1 4.297 (4.624)	Prec@5 15.625 (15.936)
Epoch: [8][3690/7045]	Time 0.304 (0.256)	Data 0.247 (0.191)	Loss 5.1036 (5.0133)	Prec@1 4.297 (4.623)	Prec@5 13.672 (15.933)
Epoch: [8][3700/7045]	Time 0.268 (0.256)	Data 0.217 (0.191)	Loss 5.1349 (5.0133)	Prec@1 3.516 (4.624)	Prec@5 10.547 (15.932)
Epoch: [8][3710/7045]	Time 0.587 (0.256)	Data 0.535 (0.191)	Loss 5.0787 (5.0135)	Prec@1 5.078 (4.623)	Prec@5 14.062 (15.929)
Epoch: [8][3720/7045]	Time 0.260 (0.256)	Data 0.200 (0.191)	Loss 4.8710 (5.0134)	Prec@1 5.078 (4.622)	Prec@5 17.578 (15.929)
Epoch: [8][3730/7045]	Time 0.101 (0.256)	Data 0.014 (0.191)	Loss 5.0338 (5.0134)	Prec@1 4.688 (4.624)	Prec@5 16.016 (15.929)
Epoch: [8][3740/7045]	Time 0.345 (0.256)	Data 0.285 (0.191)	Loss 5.0487 (5.0133)	Prec@1 4.297 (4.625)	Prec@5 14.844 (15.930)
Epoch: [8][3750/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 5.0345 (5.0134)	Prec@1 2.734 (4.626)	Prec@5 14.062 (15.929)
Epoch: [8][3760/7045]	Time 0.103 (0.256)	Data 0.019 (0.191)	Loss 5.1117 (5.0136)	Prec@1 5.078 (4.625)	Prec@5 17.578 (15.926)
Epoch: [8][3770/7045]	Time 0.101 (0.256)	Data 0.003 (0.191)	Loss 5.0445 (5.0135)	Prec@1 5.078 (4.628)	Prec@5 19.531 (15.931)
Epoch: [8][3780/7045]	Time 0.102 (0.256)	Data 0.050 (0.191)	Loss 4.8707 (5.0135)	Prec@1 5.078 (4.628)	Prec@5 19.922 (15.932)
Epoch: [8][3790/7045]	Time 0.153 (0.256)	Data 0.102 (0.191)	Loss 4.9562 (5.0134)	Prec@1 5.078 (4.631)	Prec@5 19.531 (15.935)
Epoch: [8][3800/7045]	Time 0.107 (0.256)	Data 0.055 (0.191)	Loss 5.1537 (5.0135)	Prec@1 1.953 (4.629)	Prec@5 13.281 (15.931)
Epoch: [8][3810/7045]	Time 0.225 (0.256)	Data 0.174 (0.191)	Loss 4.9051 (5.0137)	Prec@1 7.031 (4.629)	Prec@5 17.578 (15.930)
Epoch: [8][3820/7045]	Time 0.109 (0.256)	Data 0.001 (0.191)	Loss 4.9243 (5.0135)	Prec@1 6.250 (4.629)	Prec@5 16.406 (15.932)
Epoch: [8][3830/7045]	Time 0.112 (0.256)	Data 0.060 (0.191)	Loss 4.9920 (5.0135)	Prec@1 3.125 (4.630)	Prec@5 16.406 (15.930)
Epoch: [8][3840/7045]	Time 0.180 (0.256)	Data 0.122 (0.191)	Loss 5.0782 (5.0136)	Prec@1 3.516 (4.630)	Prec@5 17.188 (15.929)
Epoch: [8][3850/7045]	Time 0.482 (0.256)	Data 0.432 (0.191)	Loss 4.9810 (5.0136)	Prec@1 7.422 (4.632)	Prec@5 20.703 (15.931)
Epoch: [8][3860/7045]	Time 0.156 (0.256)	Data 0.105 (0.191)	Loss 4.9998 (5.0136)	Prec@1 5.469 (4.631)	Prec@5 14.844 (15.929)
Epoch: [8][3870/7045]	Time 0.535 (0.256)	Data 0.484 (0.191)	Loss 5.2098 (5.0138)	Prec@1 5.078 (4.632)	Prec@5 15.625 (15.927)
Epoch: [8][3880/7045]	Time 0.211 (0.256)	Data 0.160 (0.191)	Loss 5.0632 (5.0139)	Prec@1 4.297 (4.633)	Prec@5 14.062 (15.927)
Epoch: [8][3890/7045]	Time 0.291 (0.256)	Data 0.240 (0.191)	Loss 4.9283 (5.0140)	Prec@1 5.469 (4.632)	Prec@5 17.969 (15.924)
Epoch: [8][3900/7045]	Time 0.131 (0.256)	Data 0.079 (0.191)	Loss 4.9926 (5.0140)	Prec@1 3.906 (4.632)	Prec@5 15.625 (15.921)
Epoch: [8][3910/7045]	Time 0.288 (0.256)	Data 0.236 (0.191)	Loss 5.0907 (5.0141)	Prec@1 3.125 (4.632)	Prec@5 14.453 (15.921)
Epoch: [8][3920/7045]	Time 0.203 (0.256)	Data 0.152 (0.191)	Loss 5.0132 (5.0140)	Prec@1 3.125 (4.632)	Prec@5 12.891 (15.922)
Epoch: [8][3930/7045]	Time 0.109 (0.256)	Data 0.056 (0.191)	Loss 5.1477 (5.0139)	Prec@1 4.297 (4.633)	Prec@5 13.672 (15.924)
Epoch: [8][3940/7045]	Time 0.110 (0.256)	Data 0.057 (0.191)	Loss 5.1202 (5.0140)	Prec@1 4.688 (4.632)	Prec@5 11.719 (15.921)
Epoch: [8][3950/7045]	Time 0.495 (0.256)	Data 0.445 (0.191)	Loss 5.0009 (5.0140)	Prec@1 5.469 (4.632)	Prec@5 21.484 (15.921)
Epoch: [8][3960/7045]	Time 0.201 (0.256)	Data 0.149 (0.191)	Loss 5.0550 (5.0140)	Prec@1 3.516 (4.632)	Prec@5 14.844 (15.919)
Epoch: [8][3970/7045]	Time 0.441 (0.256)	Data 0.389 (0.191)	Loss 5.1064 (5.0138)	Prec@1 4.297 (4.631)	Prec@5 15.234 (15.921)
Epoch: [8][3980/7045]	Time 0.108 (0.256)	Data 0.055 (0.191)	Loss 5.0302 (5.0136)	Prec@1 4.297 (4.633)	Prec@5 13.281 (15.923)
Epoch: [8][3990/7045]	Time 0.197 (0.256)	Data 0.144 (0.191)	Loss 4.9732 (5.0136)	Prec@1 3.516 (4.634)	Prec@5 15.234 (15.924)
Epoch: [8][4000/7045]	Time 0.139 (0.256)	Data 0.087 (0.191)	Loss 4.8970 (5.0135)	Prec@1 5.078 (4.636)	Prec@5 16.797 (15.927)
Epoch: [8][4010/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 5.1720 (5.0135)	Prec@1 4.297 (4.637)	Prec@5 13.672 (15.928)
Epoch: [8][4020/7045]	Time 0.120 (0.256)	Data 0.059 (0.191)	Loss 5.0508 (5.0135)	Prec@1 5.859 (4.638)	Prec@5 14.844 (15.927)
Epoch: [8][4030/7045]	Time 0.101 (0.256)	Data 0.001 (0.191)	Loss 5.0845 (5.0136)	Prec@1 2.344 (4.638)	Prec@5 12.500 (15.924)
Epoch: [8][4040/7045]	Time 0.409 (0.256)	Data 0.358 (0.191)	Loss 5.0266 (5.0135)	Prec@1 2.734 (4.637)	Prec@5 12.891 (15.924)
Epoch: [8][4050/7045]	Time 0.223 (0.256)	Data 0.172 (0.191)	Loss 5.0016 (5.0134)	Prec@1 7.422 (4.639)	Prec@5 18.750 (15.926)
Epoch: [8][4060/7045]	Time 0.599 (0.256)	Data 0.548 (0.191)	Loss 5.0090 (5.0134)	Prec@1 4.688 (4.640)	Prec@5 17.188 (15.926)
Epoch: [8][4070/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 4.9244 (5.0134)	Prec@1 5.078 (4.640)	Prec@5 19.141 (15.928)
Epoch: [8][4080/7045]	Time 0.256 (0.256)	Data 0.205 (0.191)	Loss 4.9754 (5.0133)	Prec@1 5.859 (4.641)	Prec@5 17.969 (15.932)
Epoch: [8][4090/7045]	Time 0.108 (0.256)	Data 0.049 (0.191)	Loss 5.0363 (5.0134)	Prec@1 5.078 (4.640)	Prec@5 16.797 (15.931)
Epoch: [8][4100/7045]	Time 0.120 (0.256)	Data 0.068 (0.191)	Loss 4.9656 (5.0134)	Prec@1 3.906 (4.641)	Prec@5 17.188 (15.931)
Epoch: [8][4110/7045]	Time 0.108 (0.256)	Data 0.055 (0.191)	Loss 5.0598 (5.0135)	Prec@1 3.125 (4.640)	Prec@5 15.234 (15.927)
Epoch: [8][4120/7045]	Time 0.427 (0.256)	Data 0.369 (0.191)	Loss 4.8972 (5.0134)	Prec@1 5.859 (4.639)	Prec@5 21.094 (15.928)
Epoch: [8][4130/7045]	Time 0.153 (0.256)	Data 0.102 (0.191)	Loss 4.9565 (5.0134)	Prec@1 4.688 (4.639)	Prec@5 15.234 (15.930)
Epoch: [8][4140/7045]	Time 0.302 (0.256)	Data 0.251 (0.191)	Loss 5.0002 (5.0135)	Prec@1 3.125 (4.637)	Prec@5 14.453 (15.929)
Epoch: [8][4150/7045]	Time 0.178 (0.256)	Data 0.128 (0.191)	Loss 5.0222 (5.0135)	Prec@1 4.297 (4.636)	Prec@5 14.062 (15.927)
Epoch: [8][4160/7045]	Time 0.097 (0.256)	Data 0.001 (0.191)	Loss 5.0092 (5.0135)	Prec@1 4.688 (4.635)	Prec@5 16.016 (15.927)
Epoch: [8][4170/7045]	Time 0.260 (0.256)	Data 0.210 (0.191)	Loss 4.9574 (5.0135)	Prec@1 5.859 (4.636)	Prec@5 18.750 (15.928)
Epoch: [8][4180/7045]	Time 0.607 (0.256)	Data 0.556 (0.191)	Loss 4.9574 (5.0134)	Prec@1 4.297 (4.640)	Prec@5 16.406 (15.931)
Epoch: [8][4190/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 4.9059 (5.0134)	Prec@1 4.297 (4.640)	Prec@5 17.969 (15.931)
Epoch: [8][4200/7045]	Time 0.643 (0.256)	Data 0.589 (0.191)	Loss 4.9867 (5.0132)	Prec@1 5.469 (4.643)	Prec@5 16.406 (15.935)
Epoch: [8][4210/7045]	Time 0.101 (0.256)	Data 0.015 (0.191)	Loss 5.0621 (5.0131)	Prec@1 4.297 (4.643)	Prec@5 17.188 (15.936)
Epoch: [8][4220/7045]	Time 0.422 (0.256)	Data 0.366 (0.191)	Loss 4.9352 (5.0131)	Prec@1 5.078 (4.643)	Prec@5 19.531 (15.936)
Epoch: [8][4230/7045]	Time 0.102 (0.256)	Data 0.015 (0.191)	Loss 5.1954 (5.0133)	Prec@1 3.906 (4.643)	Prec@5 16.797 (15.932)
Epoch: [8][4240/7045]	Time 0.340 (0.256)	Data 0.289 (0.191)	Loss 4.9525 (5.0135)	Prec@1 5.469 (4.643)	Prec@5 14.062 (15.928)
Epoch: [8][4250/7045]	Time 0.395 (0.256)	Data 0.343 (0.191)	Loss 5.0125 (5.0135)	Prec@1 3.516 (4.641)	Prec@5 19.141 (15.928)
Epoch: [8][4260/7045]	Time 0.116 (0.256)	Data 0.065 (0.191)	Loss 4.9156 (5.0134)	Prec@1 4.688 (4.641)	Prec@5 16.797 (15.930)
Epoch: [8][4270/7045]	Time 0.227 (0.256)	Data 0.173 (0.191)	Loss 4.9210 (5.0134)	Prec@1 6.250 (4.642)	Prec@5 17.188 (15.930)
Epoch: [8][4280/7045]	Time 0.178 (0.256)	Data 0.127 (0.191)	Loss 4.9523 (5.0132)	Prec@1 6.641 (4.643)	Prec@5 17.969 (15.933)
Epoch: [8][4290/7045]	Time 0.384 (0.256)	Data 0.333 (0.191)	Loss 5.1106 (5.0133)	Prec@1 3.125 (4.642)	Prec@5 16.797 (15.933)
Epoch: [8][4300/7045]	Time 0.234 (0.256)	Data 0.172 (0.191)	Loss 4.9910 (5.0133)	Prec@1 3.125 (4.641)	Prec@5 16.016 (15.929)
Epoch: [8][4310/7045]	Time 0.495 (0.256)	Data 0.442 (0.191)	Loss 4.9334 (5.0133)	Prec@1 6.250 (4.642)	Prec@5 17.578 (15.931)
Epoch: [8][4320/7045]	Time 0.101 (0.256)	Data 0.001 (0.191)	Loss 5.0593 (5.0131)	Prec@1 5.469 (4.644)	Prec@5 18.750 (15.935)
Epoch: [8][4330/7045]	Time 0.572 (0.256)	Data 0.519 (0.191)	Loss 4.8864 (5.0129)	Prec@1 3.906 (4.644)	Prec@5 17.188 (15.937)
Epoch: [8][4340/7045]	Time 0.101 (0.256)	Data 0.018 (0.191)	Loss 4.8686 (5.0128)	Prec@1 3.906 (4.645)	Prec@5 17.969 (15.941)
Epoch: [8][4350/7045]	Time 0.300 (0.256)	Data 0.249 (0.191)	Loss 4.9542 (5.0128)	Prec@1 7.422 (4.645)	Prec@5 17.969 (15.941)
Epoch: [8][4360/7045]	Time 0.106 (0.256)	Data 0.054 (0.191)	Loss 5.0407 (5.0129)	Prec@1 2.734 (4.644)	Prec@5 14.062 (15.939)
Epoch: [8][4370/7045]	Time 0.297 (0.256)	Data 0.239 (0.192)	Loss 4.9749 (5.0129)	Prec@1 4.688 (4.645)	Prec@5 16.797 (15.938)
Epoch: [8][4380/7045]	Time 0.101 (0.256)	Data 0.006 (0.191)	Loss 5.0947 (5.0130)	Prec@1 3.125 (4.643)	Prec@5 13.672 (15.937)
Epoch: [8][4390/7045]	Time 0.519 (0.256)	Data 0.458 (0.192)	Loss 4.8611 (5.0129)	Prec@1 4.297 (4.644)	Prec@5 17.188 (15.938)
Epoch: [8][4400/7045]	Time 0.112 (0.256)	Data 0.061 (0.191)	Loss 4.9687 (5.0128)	Prec@1 5.078 (4.643)	Prec@5 15.234 (15.938)
Epoch: [8][4410/7045]	Time 0.763 (0.256)	Data 0.710 (0.192)	Loss 4.9072 (5.0127)	Prec@1 6.641 (4.644)	Prec@5 18.359 (15.939)
Epoch: [8][4420/7045]	Time 0.116 (0.256)	Data 0.064 (0.191)	Loss 5.0931 (5.0128)	Prec@1 3.906 (4.643)	Prec@5 16.016 (15.938)
Epoch: [8][4430/7045]	Time 0.752 (0.256)	Data 0.701 (0.191)	Loss 5.0346 (5.0128)	Prec@1 6.250 (4.644)	Prec@5 16.406 (15.940)
Epoch: [8][4440/7045]	Time 0.109 (0.256)	Data 0.001 (0.191)	Loss 4.9526 (5.0128)	Prec@1 5.078 (4.643)	Prec@5 19.141 (15.940)
Epoch: [8][4450/7045]	Time 0.314 (0.256)	Data 0.258 (0.191)	Loss 5.0857 (5.0127)	Prec@1 2.734 (4.643)	Prec@5 13.281 (15.941)
Epoch: [8][4460/7045]	Time 0.701 (0.256)	Data 0.651 (0.191)	Loss 5.0819 (5.0128)	Prec@1 3.125 (4.643)	Prec@5 13.281 (15.942)
Epoch: [8][4470/7045]	Time 0.225 (0.256)	Data 0.163 (0.191)	Loss 4.8968 (5.0127)	Prec@1 3.516 (4.643)	Prec@5 17.188 (15.943)
Epoch: [8][4480/7045]	Time 0.362 (0.256)	Data 0.311 (0.191)	Loss 4.9786 (5.0127)	Prec@1 3.516 (4.643)	Prec@5 15.625 (15.943)
Epoch: [8][4490/7045]	Time 0.515 (0.256)	Data 0.464 (0.191)	Loss 4.9488 (5.0127)	Prec@1 4.297 (4.643)	Prec@5 19.141 (15.944)
Epoch: [8][4500/7045]	Time 0.129 (0.256)	Data 0.072 (0.191)	Loss 4.9492 (5.0128)	Prec@1 4.688 (4.641)	Prec@5 17.578 (15.940)
Epoch: [8][4510/7045]	Time 0.652 (0.256)	Data 0.600 (0.191)	Loss 4.9354 (5.0127)	Prec@1 2.344 (4.640)	Prec@5 13.281 (15.938)
Epoch: [8][4520/7045]	Time 0.102 (0.256)	Data 0.014 (0.191)	Loss 5.0143 (5.0127)	Prec@1 3.125 (4.640)	Prec@5 10.547 (15.936)
Epoch: [8][4530/7045]	Time 0.177 (0.256)	Data 0.125 (0.191)	Loss 5.0146 (5.0127)	Prec@1 4.297 (4.640)	Prec@5 15.234 (15.936)
Epoch: [8][4540/7045]	Time 0.305 (0.256)	Data 0.253 (0.191)	Loss 5.0317 (5.0128)	Prec@1 4.688 (4.640)	Prec@5 14.453 (15.936)
Epoch: [8][4550/7045]	Time 0.101 (0.256)	Data 0.010 (0.191)	Loss 4.9277 (5.0127)	Prec@1 5.078 (4.641)	Prec@5 16.797 (15.936)
Epoch: [8][4560/7045]	Time 0.211 (0.256)	Data 0.159 (0.191)	Loss 5.1959 (5.0128)	Prec@1 2.734 (4.639)	Prec@5 12.891 (15.935)
Epoch: [8][4570/7045]	Time 0.139 (0.256)	Data 0.088 (0.191)	Loss 5.0481 (5.0130)	Prec@1 5.859 (4.637)	Prec@5 17.969 (15.932)
Epoch: [8][4580/7045]	Time 0.448 (0.256)	Data 0.390 (0.191)	Loss 5.1041 (5.0131)	Prec@1 4.297 (4.636)	Prec@5 15.625 (15.930)
Epoch: [8][4590/7045]	Time 0.248 (0.256)	Data 0.197 (0.191)	Loss 5.0627 (5.0132)	Prec@1 3.906 (4.633)	Prec@5 12.109 (15.926)
Epoch: [8][4600/7045]	Time 0.350 (0.256)	Data 0.295 (0.191)	Loss 4.9725 (5.0132)	Prec@1 7.031 (4.634)	Prec@5 16.797 (15.927)
Epoch: [8][4610/7045]	Time 0.204 (0.256)	Data 0.153 (0.191)	Loss 4.9441 (5.0131)	Prec@1 5.078 (4.635)	Prec@5 17.578 (15.930)
Epoch: [8][4620/7045]	Time 0.390 (0.256)	Data 0.340 (0.191)	Loss 5.2248 (5.0133)	Prec@1 3.906 (4.634)	Prec@5 11.719 (15.927)
Epoch: [8][4630/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 4.9466 (5.0133)	Prec@1 5.859 (4.634)	Prec@5 16.016 (15.927)
Epoch: [8][4640/7045]	Time 0.108 (0.256)	Data 0.056 (0.191)	Loss 4.9586 (5.0134)	Prec@1 7.422 (4.633)	Prec@5 18.359 (15.925)
Epoch: [8][4650/7045]	Time 0.372 (0.256)	Data 0.321 (0.191)	Loss 4.9781 (5.0134)	Prec@1 5.078 (4.633)	Prec@5 18.359 (15.926)
Epoch: [8][4660/7045]	Time 0.286 (0.256)	Data 0.235 (0.191)	Loss 4.9911 (5.0133)	Prec@1 5.859 (4.633)	Prec@5 14.062 (15.925)
Epoch: [8][4670/7045]	Time 0.325 (0.256)	Data 0.273 (0.191)	Loss 5.0551 (5.0133)	Prec@1 3.906 (4.632)	Prec@5 13.672 (15.924)
Epoch: [8][4680/7045]	Time 0.101 (0.256)	Data 0.001 (0.191)	Loss 4.9551 (5.0133)	Prec@1 5.078 (4.631)	Prec@5 19.531 (15.925)
Epoch: [8][4690/7045]	Time 0.832 (0.256)	Data 0.782 (0.191)	Loss 5.1378 (5.0133)	Prec@1 4.688 (4.631)	Prec@5 12.500 (15.926)
Epoch: [8][4700/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 5.0364 (5.0133)	Prec@1 4.297 (4.632)	Prec@5 17.188 (15.927)
Epoch: [8][4710/7045]	Time 0.485 (0.256)	Data 0.433 (0.191)	Loss 5.1063 (5.0133)	Prec@1 4.297 (4.631)	Prec@5 16.406 (15.926)
Epoch: [8][4720/7045]	Time 0.202 (0.256)	Data 0.151 (0.191)	Loss 5.0972 (5.0134)	Prec@1 3.906 (4.630)	Prec@5 11.719 (15.924)
Epoch: [8][4730/7045]	Time 0.392 (0.256)	Data 0.341 (0.191)	Loss 5.0360 (5.0134)	Prec@1 5.469 (4.630)	Prec@5 15.234 (15.924)
Epoch: [8][4740/7045]	Time 0.345 (0.256)	Data 0.287 (0.191)	Loss 5.0942 (5.0136)	Prec@1 4.297 (4.630)	Prec@5 19.141 (15.922)
Epoch: [8][4750/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 4.9496 (5.0136)	Prec@1 5.078 (4.631)	Prec@5 17.188 (15.923)
Epoch: [8][4760/7045]	Time 0.352 (0.256)	Data 0.301 (0.191)	Loss 5.0887 (5.0135)	Prec@1 4.688 (4.632)	Prec@5 15.625 (15.925)
Epoch: [8][4770/7045]	Time 0.329 (0.256)	Data 0.279 (0.191)	Loss 4.9524 (5.0134)	Prec@1 3.125 (4.630)	Prec@5 13.672 (15.924)
Epoch: [8][4780/7045]	Time 0.106 (0.256)	Data 0.054 (0.191)	Loss 5.1008 (5.0135)	Prec@1 4.297 (4.630)	Prec@5 13.281 (15.923)
Epoch: [8][4790/7045]	Time 0.273 (0.256)	Data 0.214 (0.191)	Loss 5.0884 (5.0136)	Prec@1 4.688 (4.631)	Prec@5 15.234 (15.921)
Epoch: [8][4800/7045]	Time 0.101 (0.256)	Data 0.001 (0.191)	Loss 4.9974 (5.0135)	Prec@1 2.734 (4.631)	Prec@5 14.453 (15.922)
Epoch: [8][4810/7045]	Time 0.196 (0.256)	Data 0.145 (0.191)	Loss 5.0485 (5.0134)	Prec@1 3.906 (4.632)	Prec@5 20.312 (15.927)
Epoch: [8][4820/7045]	Time 0.101 (0.256)	Data 0.001 (0.191)	Loss 5.0840 (5.0136)	Prec@1 3.516 (4.631)	Prec@5 12.109 (15.922)
Epoch: [8][4830/7045]	Time 0.215 (0.256)	Data 0.158 (0.191)	Loss 4.9059 (5.0136)	Prec@1 5.078 (4.629)	Prec@5 17.578 (15.921)
Epoch: [8][4840/7045]	Time 0.165 (0.256)	Data 0.114 (0.191)	Loss 4.9451 (5.0136)	Prec@1 3.906 (4.631)	Prec@5 15.625 (15.922)
Epoch: [8][4850/7045]	Time 0.141 (0.256)	Data 0.091 (0.191)	Loss 5.0256 (5.0136)	Prec@1 8.984 (4.630)	Prec@5 19.531 (15.921)
Epoch: [8][4860/7045]	Time 0.379 (0.256)	Data 0.328 (0.191)	Loss 5.1242 (5.0136)	Prec@1 4.688 (4.631)	Prec@5 15.234 (15.924)
Epoch: [8][4870/7045]	Time 0.166 (0.256)	Data 0.114 (0.191)	Loss 5.0472 (5.0136)	Prec@1 6.641 (4.631)	Prec@5 15.234 (15.924)
Epoch: [8][4880/7045]	Time 0.593 (0.256)	Data 0.543 (0.191)	Loss 4.9608 (5.0135)	Prec@1 5.469 (4.631)	Prec@5 16.406 (15.926)
Epoch: [8][4890/7045]	Time 0.252 (0.256)	Data 0.194 (0.191)	Loss 5.1223 (5.0136)	Prec@1 5.078 (4.629)	Prec@5 12.891 (15.924)
Epoch: [8][4900/7045]	Time 0.429 (0.256)	Data 0.377 (0.191)	Loss 4.9806 (5.0136)	Prec@1 6.250 (4.630)	Prec@5 17.969 (15.924)
Epoch: [8][4910/7045]	Time 0.299 (0.256)	Data 0.248 (0.191)	Loss 4.9644 (5.0137)	Prec@1 5.859 (4.631)	Prec@5 17.188 (15.923)
Epoch: [8][4920/7045]	Time 0.112 (0.256)	Data 0.001 (0.191)	Loss 4.8568 (5.0136)	Prec@1 4.297 (4.631)	Prec@5 19.141 (15.925)
Epoch: [8][4930/7045]	Time 0.101 (0.256)	Data 0.001 (0.191)	Loss 4.9662 (5.0134)	Prec@1 4.688 (4.632)	Prec@5 16.406 (15.928)
Epoch: [8][4940/7045]	Time 0.223 (0.256)	Data 0.173 (0.191)	Loss 5.0084 (5.0135)	Prec@1 4.297 (4.631)	Prec@5 15.234 (15.928)
Epoch: [8][4950/7045]	Time 0.203 (0.256)	Data 0.152 (0.191)	Loss 4.9878 (5.0134)	Prec@1 4.688 (4.631)	Prec@5 17.188 (15.927)
Epoch: [8][4960/7045]	Time 0.125 (0.256)	Data 0.074 (0.191)	Loss 5.0029 (5.0132)	Prec@1 1.953 (4.633)	Prec@5 15.625 (15.932)
Epoch: [8][4970/7045]	Time 0.101 (0.256)	Data 0.015 (0.191)	Loss 5.2028 (5.0133)	Prec@1 4.688 (4.632)	Prec@5 12.109 (15.931)
Epoch: [8][4980/7045]	Time 0.101 (0.256)	Data 0.001 (0.191)	Loss 5.0155 (5.0135)	Prec@1 4.688 (4.631)	Prec@5 16.797 (15.928)
Epoch: [8][4990/7045]	Time 0.228 (0.256)	Data 0.172 (0.191)	Loss 5.1535 (5.0135)	Prec@1 2.734 (4.630)	Prec@5 15.234 (15.929)
Epoch: [8][5000/7045]	Time 0.101 (0.256)	Data 0.001 (0.191)	Loss 5.0567 (5.0136)	Prec@1 3.906 (4.630)	Prec@5 16.016 (15.929)
Epoch: [8][5010/7045]	Time 0.425 (0.256)	Data 0.374 (0.191)	Loss 5.0314 (5.0136)	Prec@1 5.078 (4.631)	Prec@5 14.453 (15.930)
Epoch: [8][5020/7045]	Time 0.308 (0.256)	Data 0.256 (0.191)	Loss 5.1672 (5.0136)	Prec@1 3.516 (4.631)	Prec@5 14.844 (15.931)
Epoch: [8][5030/7045]	Time 0.199 (0.256)	Data 0.147 (0.191)	Loss 5.1559 (5.0136)	Prec@1 4.688 (4.630)	Prec@5 16.406 (15.929)
Epoch: [8][5040/7045]	Time 0.449 (0.256)	Data 0.396 (0.191)	Loss 5.1898 (5.0138)	Prec@1 3.516 (4.629)	Prec@5 9.766 (15.925)
Epoch: [8][5050/7045]	Time 0.199 (0.256)	Data 0.149 (0.191)	Loss 5.0982 (5.0139)	Prec@1 5.469 (4.629)	Prec@5 14.844 (15.923)
Epoch: [8][5060/7045]	Time 0.519 (0.256)	Data 0.460 (0.191)	Loss 5.0189 (5.0139)	Prec@1 5.469 (4.629)	Prec@5 14.844 (15.923)
Epoch: [8][5070/7045]	Time 0.102 (0.256)	Data 0.005 (0.191)	Loss 4.9341 (5.0139)	Prec@1 5.469 (4.628)	Prec@5 14.453 (15.924)
Epoch: [8][5080/7045]	Time 0.554 (0.256)	Data 0.495 (0.191)	Loss 5.0121 (5.0140)	Prec@1 6.250 (4.628)	Prec@5 14.453 (15.922)
Epoch: [8][5090/7045]	Time 0.103 (0.256)	Data 0.010 (0.191)	Loss 5.0186 (5.0139)	Prec@1 4.688 (4.629)	Prec@5 15.234 (15.924)
Epoch: [8][5100/7045]	Time 0.367 (0.256)	Data 0.310 (0.191)	Loss 5.0925 (5.0138)	Prec@1 3.906 (4.630)	Prec@5 16.797 (15.925)
Epoch: [8][5110/7045]	Time 0.101 (0.256)	Data 0.010 (0.191)	Loss 4.8803 (5.0138)	Prec@1 4.688 (4.630)	Prec@5 16.797 (15.925)
Epoch: [8][5120/7045]	Time 0.102 (0.256)	Data 0.011 (0.191)	Loss 5.0782 (5.0139)	Prec@1 5.859 (4.629)	Prec@5 15.625 (15.924)
Epoch: [8][5130/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 5.0652 (5.0140)	Prec@1 5.469 (4.628)	Prec@5 14.453 (15.923)
Epoch: [8][5140/7045]	Time 0.160 (0.256)	Data 0.108 (0.191)	Loss 5.1493 (5.0141)	Prec@1 3.125 (4.627)	Prec@5 14.844 (15.922)
Epoch: [8][5150/7045]	Time 0.279 (0.256)	Data 0.227 (0.191)	Loss 5.0024 (5.0142)	Prec@1 5.078 (4.626)	Prec@5 17.578 (15.922)
Epoch: [8][5160/7045]	Time 0.179 (0.256)	Data 0.127 (0.191)	Loss 4.8914 (5.0141)	Prec@1 5.469 (4.628)	Prec@5 19.922 (15.925)
Epoch: [8][5170/7045]	Time 0.118 (0.256)	Data 0.067 (0.191)	Loss 4.8441 (5.0140)	Prec@1 4.297 (4.629)	Prec@5 18.359 (15.926)
Epoch: [8][5180/7045]	Time 0.224 (0.256)	Data 0.173 (0.191)	Loss 4.9209 (5.0140)	Prec@1 5.078 (4.629)	Prec@5 16.406 (15.927)
Epoch: [8][5190/7045]	Time 0.116 (0.256)	Data 0.055 (0.191)	Loss 4.9683 (5.0140)	Prec@1 5.469 (4.629)	Prec@5 18.359 (15.926)
Epoch: [8][5200/7045]	Time 0.361 (0.256)	Data 0.309 (0.191)	Loss 5.0616 (5.0140)	Prec@1 3.516 (4.629)	Prec@5 11.719 (15.926)
Epoch: [8][5210/7045]	Time 0.102 (0.256)	Data 0.050 (0.191)	Loss 5.0057 (5.0140)	Prec@1 5.469 (4.629)	Prec@5 13.281 (15.926)
Epoch: [8][5220/7045]	Time 0.103 (0.256)	Data 0.001 (0.191)	Loss 4.9680 (5.0139)	Prec@1 6.250 (4.630)	Prec@5 16.406 (15.927)
Epoch: [8][5230/7045]	Time 0.150 (0.256)	Data 0.099 (0.191)	Loss 5.0448 (5.0139)	Prec@1 2.344 (4.630)	Prec@5 14.062 (15.926)
Epoch: [8][5240/7045]	Time 0.118 (0.256)	Data 0.067 (0.191)	Loss 5.0497 (5.0139)	Prec@1 5.859 (4.630)	Prec@5 17.969 (15.926)
Epoch: [8][5250/7045]	Time 0.102 (0.256)	Data 0.050 (0.191)	Loss 5.1186 (5.0140)	Prec@1 4.297 (4.630)	Prec@5 12.109 (15.925)
Epoch: [8][5260/7045]	Time 0.189 (0.256)	Data 0.138 (0.191)	Loss 5.0220 (5.0141)	Prec@1 2.734 (4.630)	Prec@5 15.234 (15.923)
Epoch: [8][5270/7045]	Time 0.291 (0.256)	Data 0.240 (0.191)	Loss 4.8339 (5.0140)	Prec@1 6.641 (4.631)	Prec@5 21.484 (15.925)
Epoch: [8][5280/7045]	Time 0.164 (0.256)	Data 0.112 (0.191)	Loss 4.9415 (5.0140)	Prec@1 4.688 (4.629)	Prec@5 15.625 (15.924)
Epoch: [8][5290/7045]	Time 0.385 (0.256)	Data 0.332 (0.191)	Loss 5.0453 (5.0140)	Prec@1 4.297 (4.630)	Prec@5 15.234 (15.925)
Epoch: [8][5300/7045]	Time 0.101 (0.256)	Data 0.012 (0.191)	Loss 4.9634 (5.0138)	Prec@1 4.688 (4.631)	Prec@5 14.844 (15.928)
Epoch: [8][5310/7045]	Time 0.099 (0.256)	Data 0.007 (0.191)	Loss 5.0986 (5.0138)	Prec@1 4.688 (4.632)	Prec@5 14.453 (15.930)
Epoch: [8][5320/7045]	Time 0.108 (0.256)	Data 0.011 (0.191)	Loss 5.0049 (5.0137)	Prec@1 2.734 (4.631)	Prec@5 16.016 (15.930)
Epoch: [8][5330/7045]	Time 0.595 (0.256)	Data 0.535 (0.191)	Loss 4.9680 (5.0138)	Prec@1 5.859 (4.632)	Prec@5 19.531 (15.931)
Epoch: [8][5340/7045]	Time 0.229 (0.256)	Data 0.178 (0.191)	Loss 4.9366 (5.0137)	Prec@1 5.469 (4.633)	Prec@5 17.188 (15.933)
Epoch: [8][5350/7045]	Time 0.621 (0.256)	Data 0.570 (0.191)	Loss 5.0635 (5.0138)	Prec@1 5.859 (4.633)	Prec@5 14.453 (15.933)
Epoch: [8][5360/7045]	Time 0.103 (0.256)	Data 0.001 (0.191)	Loss 5.0800 (5.0139)	Prec@1 3.906 (4.634)	Prec@5 14.062 (15.933)
Epoch: [8][5370/7045]	Time 0.275 (0.256)	Data 0.225 (0.191)	Loss 5.0083 (5.0139)	Prec@1 3.125 (4.634)	Prec@5 14.453 (15.932)
Epoch: [8][5380/7045]	Time 0.102 (0.256)	Data 0.007 (0.191)	Loss 5.1344 (5.0139)	Prec@1 4.297 (4.635)	Prec@5 14.844 (15.933)
Epoch: [8][5390/7045]	Time 0.101 (0.256)	Data 0.001 (0.191)	Loss 4.9683 (5.0140)	Prec@1 3.906 (4.634)	Prec@5 17.578 (15.932)
Epoch: [8][5400/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 5.0722 (5.0140)	Prec@1 3.906 (4.634)	Prec@5 16.406 (15.932)
Epoch: [8][5410/7045]	Time 0.378 (0.256)	Data 0.328 (0.191)	Loss 5.0325 (5.0141)	Prec@1 4.688 (4.633)	Prec@5 17.969 (15.930)
Epoch: [8][5420/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 5.0768 (5.0143)	Prec@1 1.953 (4.631)	Prec@5 11.719 (15.927)
Epoch: [8][5430/7045]	Time 0.611 (0.256)	Data 0.560 (0.191)	Loss 5.1405 (5.0145)	Prec@1 5.078 (4.631)	Prec@5 14.844 (15.927)
Epoch: [8][5440/7045]	Time 0.133 (0.256)	Data 0.082 (0.191)	Loss 4.9767 (5.0146)	Prec@1 4.688 (4.630)	Prec@5 17.578 (15.926)
Epoch: [8][5450/7045]	Time 0.543 (0.256)	Data 0.491 (0.191)	Loss 5.1321 (5.0146)	Prec@1 4.688 (4.632)	Prec@5 17.969 (15.925)
Epoch: [8][5460/7045]	Time 0.112 (0.256)	Data 0.061 (0.191)	Loss 5.0539 (5.0147)	Prec@1 5.859 (4.631)	Prec@5 17.188 (15.926)
Epoch: [8][5470/7045]	Time 0.343 (0.256)	Data 0.291 (0.191)	Loss 4.9967 (5.0147)	Prec@1 1.562 (4.630)	Prec@5 16.406 (15.925)
Epoch: [8][5480/7045]	Time 0.241 (0.256)	Data 0.183 (0.191)	Loss 5.1397 (5.0148)	Prec@1 4.297 (4.629)	Prec@5 15.234 (15.922)
Epoch: [8][5490/7045]	Time 0.324 (0.256)	Data 0.274 (0.191)	Loss 4.9599 (5.0149)	Prec@1 5.078 (4.629)	Prec@5 17.969 (15.920)
Epoch: [8][5500/7045]	Time 0.218 (0.256)	Data 0.166 (0.191)	Loss 5.0642 (5.0149)	Prec@1 3.906 (4.629)	Prec@5 16.797 (15.922)
Epoch: [8][5510/7045]	Time 0.398 (0.256)	Data 0.348 (0.191)	Loss 5.1552 (5.0149)	Prec@1 3.906 (4.629)	Prec@5 13.672 (15.921)
Epoch: [8][5520/7045]	Time 0.227 (0.256)	Data 0.175 (0.191)	Loss 5.1133 (5.0149)	Prec@1 5.469 (4.629)	Prec@5 16.016 (15.921)
Epoch: [8][5530/7045]	Time 0.160 (0.256)	Data 0.107 (0.191)	Loss 4.9447 (5.0148)	Prec@1 5.078 (4.629)	Prec@5 17.969 (15.921)
Epoch: [8][5540/7045]	Time 0.101 (0.256)	Data 0.009 (0.191)	Loss 5.1528 (5.0148)	Prec@1 4.688 (4.630)	Prec@5 15.625 (15.921)
Epoch: [8][5550/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 5.0249 (5.0149)	Prec@1 4.688 (4.630)	Prec@5 14.062 (15.921)
Epoch: [8][5560/7045]	Time 0.105 (0.256)	Data 0.052 (0.191)	Loss 5.0013 (5.0148)	Prec@1 3.125 (4.630)	Prec@5 14.844 (15.922)
Epoch: [8][5570/7045]	Time 0.350 (0.256)	Data 0.298 (0.191)	Loss 4.9086 (5.0147)	Prec@1 4.688 (4.631)	Prec@5 19.531 (15.925)
Epoch: [8][5580/7045]	Time 0.215 (0.256)	Data 0.164 (0.191)	Loss 4.9490 (5.0146)	Prec@1 5.859 (4.631)	Prec@5 17.188 (15.926)
Epoch: [8][5590/7045]	Time 0.211 (0.256)	Data 0.160 (0.191)	Loss 5.0225 (5.0146)	Prec@1 3.906 (4.631)	Prec@5 14.062 (15.925)
Epoch: [8][5600/7045]	Time 0.217 (0.256)	Data 0.167 (0.191)	Loss 4.9808 (5.0147)	Prec@1 5.859 (4.630)	Prec@5 18.359 (15.924)
Epoch: [8][5610/7045]	Time 0.118 (0.256)	Data 0.067 (0.191)	Loss 4.9944 (5.0147)	Prec@1 6.250 (4.629)	Prec@5 16.797 (15.923)
Epoch: [8][5620/7045]	Time 0.101 (0.256)	Data 0.007 (0.191)	Loss 4.9420 (5.0147)	Prec@1 3.125 (4.630)	Prec@5 15.625 (15.924)
Epoch: [8][5630/7045]	Time 0.116 (0.256)	Data 0.065 (0.191)	Loss 5.1433 (5.0146)	Prec@1 4.688 (4.632)	Prec@5 15.234 (15.925)
Epoch: [8][5640/7045]	Time 0.114 (0.256)	Data 0.063 (0.191)	Loss 5.0121 (5.0146)	Prec@1 6.250 (4.631)	Prec@5 14.062 (15.925)
Epoch: [8][5650/7045]	Time 0.101 (0.256)	Data 0.001 (0.191)	Loss 4.8520 (5.0145)	Prec@1 6.250 (4.632)	Prec@5 19.922 (15.926)
Epoch: [8][5660/7045]	Time 0.106 (0.256)	Data 0.053 (0.191)	Loss 5.0354 (5.0146)	Prec@1 4.297 (4.631)	Prec@5 15.234 (15.924)
Epoch: [8][5670/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 4.9365 (5.0147)	Prec@1 3.516 (4.630)	Prec@5 19.141 (15.923)
Epoch: [8][5680/7045]	Time 0.178 (0.256)	Data 0.118 (0.191)	Loss 4.9524 (5.0147)	Prec@1 5.859 (4.630)	Prec@5 16.016 (15.922)
Epoch: [8][5690/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 4.9562 (5.0146)	Prec@1 5.859 (4.633)	Prec@5 18.750 (15.926)
Epoch: [8][5700/7045]	Time 0.104 (0.256)	Data 0.052 (0.191)	Loss 4.8908 (5.0146)	Prec@1 5.469 (4.631)	Prec@5 17.188 (15.927)
Epoch: [8][5710/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 4.8971 (5.0145)	Prec@1 5.078 (4.632)	Prec@5 18.359 (15.929)
Epoch: [8][5720/7045]	Time 0.114 (0.256)	Data 0.053 (0.191)	Loss 4.9021 (5.0144)	Prec@1 3.125 (4.632)	Prec@5 17.969 (15.931)
Epoch: [8][5730/7045]	Time 0.112 (0.256)	Data 0.059 (0.191)	Loss 5.1472 (5.0145)	Prec@1 4.688 (4.631)	Prec@5 11.328 (15.929)
Epoch: [8][5740/7045]	Time 0.107 (0.256)	Data 0.019 (0.191)	Loss 5.0559 (5.0146)	Prec@1 3.906 (4.629)	Prec@5 17.188 (15.928)
Epoch: [8][5750/7045]	Time 0.102 (0.256)	Data 0.015 (0.191)	Loss 4.9954 (5.0146)	Prec@1 3.125 (4.630)	Prec@5 13.672 (15.927)
Epoch: [8][5760/7045]	Time 0.256 (0.256)	Data 0.205 (0.191)	Loss 4.9148 (5.0146)	Prec@1 5.469 (4.631)	Prec@5 17.578 (15.930)
Epoch: [8][5770/7045]	Time 0.151 (0.256)	Data 0.100 (0.191)	Loss 4.9027 (5.0146)	Prec@1 5.859 (4.631)	Prec@5 17.578 (15.930)
Epoch: [8][5780/7045]	Time 0.098 (0.256)	Data 0.042 (0.191)	Loss 5.0120 (5.0146)	Prec@1 7.031 (4.631)	Prec@5 16.406 (15.929)
Epoch: [8][5790/7045]	Time 0.428 (0.256)	Data 0.376 (0.191)	Loss 5.0169 (5.0146)	Prec@1 2.734 (4.630)	Prec@5 15.234 (15.930)
Epoch: [8][5800/7045]	Time 0.102 (0.256)	Data 0.011 (0.191)	Loss 5.0361 (5.0145)	Prec@1 3.906 (4.630)	Prec@5 12.109 (15.929)
Epoch: [8][5810/7045]	Time 0.231 (0.256)	Data 0.181 (0.191)	Loss 5.0896 (5.0145)	Prec@1 5.078 (4.630)	Prec@5 14.062 (15.929)
Epoch: [8][5820/7045]	Time 0.101 (0.256)	Data 0.009 (0.191)	Loss 4.9921 (5.0146)	Prec@1 5.078 (4.630)	Prec@5 18.750 (15.928)
Epoch: [8][5830/7045]	Time 0.653 (0.256)	Data 0.602 (0.191)	Loss 5.0292 (5.0145)	Prec@1 9.766 (4.629)	Prec@5 15.625 (15.928)
Epoch: [8][5840/7045]	Time 0.210 (0.256)	Data 0.154 (0.191)	Loss 5.1604 (5.0146)	Prec@1 4.688 (4.630)	Prec@5 15.625 (15.930)
Epoch: [8][5850/7045]	Time 0.555 (0.256)	Data 0.495 (0.191)	Loss 5.2416 (5.0147)	Prec@1 3.125 (4.628)	Prec@5 12.109 (15.928)
Epoch: [8][5860/7045]	Time 0.102 (0.256)	Data 0.005 (0.191)	Loss 5.0410 (5.0148)	Prec@1 4.297 (4.627)	Prec@5 16.016 (15.928)
Epoch: [8][5870/7045]	Time 0.424 (0.256)	Data 0.373 (0.191)	Loss 5.0216 (5.0148)	Prec@1 3.125 (4.626)	Prec@5 13.672 (15.928)
Epoch: [8][5880/7045]	Time 0.103 (0.256)	Data 0.001 (0.191)	Loss 5.0598 (5.0147)	Prec@1 4.688 (4.626)	Prec@5 16.406 (15.929)
Epoch: [8][5890/7045]	Time 0.215 (0.256)	Data 0.164 (0.191)	Loss 4.9220 (5.0146)	Prec@1 6.250 (4.628)	Prec@5 15.625 (15.930)
Epoch: [8][5900/7045]	Time 0.324 (0.256)	Data 0.272 (0.191)	Loss 4.9816 (5.0147)	Prec@1 5.859 (4.628)	Prec@5 16.016 (15.929)
Epoch: [8][5910/7045]	Time 0.118 (0.256)	Data 0.067 (0.191)	Loss 5.0357 (5.0146)	Prec@1 3.125 (4.627)	Prec@5 14.844 (15.929)
Epoch: [8][5920/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 5.0402 (5.0145)	Prec@1 6.250 (4.628)	Prec@5 14.062 (15.930)
Epoch: [8][5930/7045]	Time 0.628 (0.256)	Data 0.577 (0.191)	Loss 4.7976 (5.0145)	Prec@1 7.031 (4.629)	Prec@5 18.359 (15.931)
Epoch: [8][5940/7045]	Time 0.291 (0.256)	Data 0.241 (0.191)	Loss 5.0117 (5.0145)	Prec@1 3.125 (4.628)	Prec@5 17.188 (15.932)
Epoch: [8][5950/7045]	Time 0.632 (0.256)	Data 0.581 (0.191)	Loss 5.0854 (5.0146)	Prec@1 3.125 (4.627)	Prec@5 12.891 (15.931)
Epoch: [8][5960/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 4.8660 (5.0146)	Prec@1 5.078 (4.627)	Prec@5 20.312 (15.931)
Epoch: [8][5970/7045]	Time 0.172 (0.256)	Data 0.121 (0.191)	Loss 5.0318 (5.0146)	Prec@1 5.078 (4.627)	Prec@5 14.453 (15.931)
Epoch: [8][5980/7045]	Time 0.101 (0.256)	Data 0.049 (0.191)	Loss 5.1010 (5.0146)	Prec@1 2.734 (4.628)	Prec@5 13.281 (15.932)
Epoch: [8][5990/7045]	Time 0.103 (0.256)	Data 0.001 (0.191)	Loss 5.1225 (5.0146)	Prec@1 3.906 (4.627)	Prec@5 12.891 (15.931)
Epoch: [8][6000/7045]	Time 0.184 (0.256)	Data 0.132 (0.191)	Loss 4.9360 (5.0146)	Prec@1 3.906 (4.628)	Prec@5 16.016 (15.931)
Epoch: [8][6010/7045]	Time 0.308 (0.256)	Data 0.256 (0.191)	Loss 5.0319 (5.0146)	Prec@1 3.516 (4.627)	Prec@5 13.281 (15.930)
Epoch: [8][6020/7045]	Time 0.373 (0.256)	Data 0.318 (0.191)	Loss 4.8753 (5.0145)	Prec@1 6.641 (4.627)	Prec@5 18.750 (15.931)
Epoch: [8][6030/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 4.9650 (5.0144)	Prec@1 5.469 (4.629)	Prec@5 17.578 (15.935)
Epoch: [8][6040/7045]	Time 0.541 (0.256)	Data 0.489 (0.191)	Loss 4.9210 (5.0142)	Prec@1 3.125 (4.628)	Prec@5 18.359 (15.938)
Epoch: [8][6050/7045]	Time 0.314 (0.256)	Data 0.264 (0.191)	Loss 4.9173 (5.0142)	Prec@1 3.516 (4.627)	Prec@5 15.625 (15.938)
Epoch: [8][6060/7045]	Time 0.409 (0.256)	Data 0.359 (0.191)	Loss 5.1695 (5.0143)	Prec@1 5.078 (4.628)	Prec@5 17.188 (15.937)
Epoch: [8][6070/7045]	Time 0.329 (0.256)	Data 0.278 (0.191)	Loss 5.0587 (5.0142)	Prec@1 6.641 (4.628)	Prec@5 14.453 (15.936)
Epoch: [8][6080/7045]	Time 0.201 (0.256)	Data 0.140 (0.191)	Loss 5.0347 (5.0141)	Prec@1 3.906 (4.629)	Prec@5 14.844 (15.938)
Epoch: [8][6090/7045]	Time 0.533 (0.256)	Data 0.481 (0.191)	Loss 4.9292 (5.0141)	Prec@1 1.953 (4.629)	Prec@5 16.797 (15.940)
Epoch: [8][6100/7045]	Time 0.114 (0.256)	Data 0.062 (0.191)	Loss 5.2000 (5.0141)	Prec@1 5.078 (4.630)	Prec@5 13.281 (15.939)
Epoch: [8][6110/7045]	Time 0.536 (0.256)	Data 0.483 (0.191)	Loss 5.0342 (5.0142)	Prec@1 4.297 (4.630)	Prec@5 14.453 (15.938)
Epoch: [8][6120/7045]	Time 0.103 (0.256)	Data 0.020 (0.191)	Loss 4.8597 (5.0141)	Prec@1 3.516 (4.629)	Prec@5 17.188 (15.939)
Epoch: [8][6130/7045]	Time 0.631 (0.256)	Data 0.580 (0.191)	Loss 5.0270 (5.0141)	Prec@1 3.516 (4.628)	Prec@5 17.188 (15.937)
Epoch: [8][6140/7045]	Time 0.101 (0.256)	Data 0.011 (0.191)	Loss 5.0698 (5.0141)	Prec@1 3.125 (4.628)	Prec@5 13.672 (15.939)
Epoch: [8][6150/7045]	Time 0.201 (0.256)	Data 0.150 (0.191)	Loss 5.0660 (5.0140)	Prec@1 5.859 (4.629)	Prec@5 11.328 (15.939)
Epoch: [8][6160/7045]	Time 0.430 (0.256)	Data 0.380 (0.191)	Loss 5.2016 (5.0141)	Prec@1 3.516 (4.628)	Prec@5 12.500 (15.936)
Epoch: [8][6170/7045]	Time 0.102 (0.256)	Data 0.044 (0.191)	Loss 4.9068 (5.0140)	Prec@1 5.469 (4.628)	Prec@5 15.625 (15.937)
Epoch: [8][6180/7045]	Time 0.600 (0.256)	Data 0.549 (0.191)	Loss 5.0778 (5.0140)	Prec@1 2.734 (4.629)	Prec@5 14.062 (15.937)
Epoch: [8][6190/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 4.9093 (5.0141)	Prec@1 3.906 (4.628)	Prec@5 16.797 (15.937)
Epoch: [8][6200/7045]	Time 0.474 (0.256)	Data 0.421 (0.191)	Loss 5.0808 (5.0142)	Prec@1 5.078 (4.627)	Prec@5 14.453 (15.934)
Epoch: [8][6210/7045]	Time 0.173 (0.256)	Data 0.121 (0.191)	Loss 4.9033 (5.0142)	Prec@1 7.812 (4.628)	Prec@5 15.625 (15.933)
Epoch: [8][6220/7045]	Time 0.320 (0.256)	Data 0.268 (0.191)	Loss 5.0053 (5.0142)	Prec@1 6.250 (4.628)	Prec@5 17.578 (15.932)
Epoch: [8][6230/7045]	Time 0.102 (0.256)	Data 0.020 (0.191)	Loss 5.0262 (5.0142)	Prec@1 4.297 (4.628)	Prec@5 15.234 (15.934)
Epoch: [8][6240/7045]	Time 0.102 (0.256)	Data 0.011 (0.191)	Loss 4.9891 (5.0142)	Prec@1 4.688 (4.628)	Prec@5 16.797 (15.933)
Epoch: [8][6250/7045]	Time 0.117 (0.256)	Data 0.059 (0.191)	Loss 5.0056 (5.0142)	Prec@1 4.297 (4.627)	Prec@5 17.188 (15.934)
Epoch: [8][6260/7045]	Time 0.247 (0.256)	Data 0.197 (0.191)	Loss 4.9754 (5.0141)	Prec@1 5.469 (4.627)	Prec@5 18.359 (15.934)
Epoch: [8][6270/7045]	Time 0.101 (0.256)	Data 0.001 (0.191)	Loss 4.9656 (5.0142)	Prec@1 3.516 (4.627)	Prec@5 12.109 (15.932)
Epoch: [8][6280/7045]	Time 0.413 (0.256)	Data 0.356 (0.191)	Loss 4.9419 (5.0142)	Prec@1 4.297 (4.627)	Prec@5 16.797 (15.931)
Epoch: [8][6290/7045]	Time 0.181 (0.256)	Data 0.130 (0.191)	Loss 5.0360 (5.0142)	Prec@1 5.078 (4.628)	Prec@5 17.188 (15.932)
Epoch: [8][6300/7045]	Time 0.254 (0.256)	Data 0.202 (0.191)	Loss 5.0202 (5.0142)	Prec@1 3.516 (4.626)	Prec@5 19.531 (15.932)
Epoch: [8][6310/7045]	Time 0.103 (0.256)	Data 0.012 (0.191)	Loss 4.8588 (5.0142)	Prec@1 5.469 (4.626)	Prec@5 16.797 (15.931)
Epoch: [8][6320/7045]	Time 0.247 (0.256)	Data 0.196 (0.191)	Loss 4.9376 (5.0142)	Prec@1 8.594 (4.628)	Prec@5 17.969 (15.933)
Epoch: [8][6330/7045]	Time 0.111 (0.256)	Data 0.023 (0.191)	Loss 4.8406 (5.0141)	Prec@1 6.641 (4.629)	Prec@5 20.703 (15.935)
Epoch: [8][6340/7045]	Time 0.606 (0.256)	Data 0.554 (0.191)	Loss 5.0921 (5.0140)	Prec@1 3.125 (4.629)	Prec@5 15.234 (15.937)
Epoch: [8][6350/7045]	Time 0.109 (0.256)	Data 0.001 (0.191)	Loss 5.0154 (5.0140)	Prec@1 5.078 (4.629)	Prec@5 16.797 (15.937)
Epoch: [8][6360/7045]	Time 0.792 (0.256)	Data 0.732 (0.191)	Loss 5.0747 (5.0141)	Prec@1 3.906 (4.629)	Prec@5 12.500 (15.935)
Epoch: [8][6370/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 5.0339 (5.0140)	Prec@1 2.734 (4.629)	Prec@5 16.016 (15.937)
Epoch: [8][6380/7045]	Time 0.613 (0.256)	Data 0.563 (0.191)	Loss 4.8804 (5.0140)	Prec@1 6.641 (4.630)	Prec@5 19.531 (15.940)
Epoch: [8][6390/7045]	Time 0.108 (0.256)	Data 0.001 (0.191)	Loss 4.8360 (5.0139)	Prec@1 6.641 (4.631)	Prec@5 22.266 (15.942)
Epoch: [8][6400/7045]	Time 0.470 (0.256)	Data 0.419 (0.191)	Loss 4.9658 (5.0138)	Prec@1 4.688 (4.631)	Prec@5 15.625 (15.943)
Epoch: [8][6410/7045]	Time 0.117 (0.256)	Data 0.057 (0.191)	Loss 4.9291 (5.0137)	Prec@1 3.906 (4.630)	Prec@5 18.359 (15.943)
Epoch: [8][6420/7045]	Time 0.465 (0.256)	Data 0.415 (0.191)	Loss 4.9806 (5.0137)	Prec@1 5.859 (4.631)	Prec@5 19.531 (15.945)
Epoch: [8][6430/7045]	Time 0.189 (0.256)	Data 0.137 (0.191)	Loss 4.9418 (5.0137)	Prec@1 4.688 (4.631)	Prec@5 16.797 (15.944)
Epoch: [8][6440/7045]	Time 0.629 (0.256)	Data 0.577 (0.191)	Loss 4.9856 (5.0137)	Prec@1 4.688 (4.631)	Prec@5 16.016 (15.944)
Epoch: [8][6450/7045]	Time 0.109 (0.256)	Data 0.001 (0.191)	Loss 5.1560 (5.0137)	Prec@1 5.078 (4.630)	Prec@5 14.844 (15.944)
Epoch: [8][6460/7045]	Time 0.333 (0.256)	Data 0.283 (0.191)	Loss 4.8248 (5.0136)	Prec@1 4.688 (4.631)	Prec@5 16.016 (15.944)
Epoch: [8][6470/7045]	Time 0.342 (0.256)	Data 0.290 (0.191)	Loss 4.8910 (5.0135)	Prec@1 2.734 (4.631)	Prec@5 18.750 (15.945)
Epoch: [8][6480/7045]	Time 0.263 (0.256)	Data 0.211 (0.191)	Loss 4.9979 (5.0136)	Prec@1 2.344 (4.629)	Prec@5 14.062 (15.945)
Epoch: [8][6490/7045]	Time 0.596 (0.256)	Data 0.545 (0.191)	Loss 4.9477 (5.0135)	Prec@1 3.906 (4.630)	Prec@5 13.672 (15.946)
Epoch: [8][6500/7045]	Time 0.107 (0.256)	Data 0.056 (0.191)	Loss 4.8728 (5.0135)	Prec@1 8.203 (4.630)	Prec@5 19.922 (15.946)
Epoch: [8][6510/7045]	Time 0.441 (0.256)	Data 0.391 (0.191)	Loss 4.9878 (5.0134)	Prec@1 4.688 (4.630)	Prec@5 12.891 (15.945)
Epoch: [8][6520/7045]	Time 0.106 (0.256)	Data 0.053 (0.191)	Loss 4.8016 (5.0133)	Prec@1 8.203 (4.630)	Prec@5 21.484 (15.947)
Epoch: [8][6530/7045]	Time 0.542 (0.256)	Data 0.491 (0.191)	Loss 4.9952 (5.0133)	Prec@1 6.250 (4.630)	Prec@5 18.750 (15.946)
Epoch: [8][6540/7045]	Time 0.108 (0.256)	Data 0.001 (0.191)	Loss 5.1070 (5.0132)	Prec@1 2.344 (4.631)	Prec@5 15.625 (15.948)
Epoch: [8][6550/7045]	Time 0.105 (0.256)	Data 0.053 (0.191)	Loss 5.0241 (5.0132)	Prec@1 3.906 (4.631)	Prec@5 14.453 (15.950)
Epoch: [8][6560/7045]	Time 0.228 (0.256)	Data 0.177 (0.191)	Loss 4.9661 (5.0132)	Prec@1 4.688 (4.632)	Prec@5 14.844 (15.950)
Epoch: [8][6570/7045]	Time 0.244 (0.256)	Data 0.193 (0.191)	Loss 5.0064 (5.0131)	Prec@1 5.859 (4.633)	Prec@5 17.969 (15.951)
Epoch: [8][6580/7045]	Time 0.448 (0.256)	Data 0.394 (0.191)	Loss 5.0565 (5.0132)	Prec@1 5.078 (4.632)	Prec@5 17.578 (15.952)
Epoch: [8][6590/7045]	Time 0.108 (0.256)	Data 0.020 (0.191)	Loss 4.9887 (5.0132)	Prec@1 5.469 (4.631)	Prec@5 18.359 (15.949)
Epoch: [8][6600/7045]	Time 0.406 (0.256)	Data 0.355 (0.191)	Loss 4.9725 (5.0132)	Prec@1 3.906 (4.630)	Prec@5 16.406 (15.948)
Epoch: [8][6610/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 4.9491 (5.0132)	Prec@1 5.469 (4.630)	Prec@5 18.359 (15.947)
Epoch: [8][6620/7045]	Time 0.288 (0.256)	Data 0.235 (0.191)	Loss 4.8997 (5.0132)	Prec@1 6.641 (4.630)	Prec@5 17.578 (15.947)
Epoch: [8][6630/7045]	Time 0.478 (0.256)	Data 0.426 (0.191)	Loss 5.0967 (5.0133)	Prec@1 3.906 (4.630)	Prec@5 14.453 (15.946)
Epoch: [8][6640/7045]	Time 0.095 (0.256)	Data 0.001 (0.191)	Loss 4.7811 (5.0132)	Prec@1 4.688 (4.629)	Prec@5 19.141 (15.946)
Epoch: [8][6650/7045]	Time 0.719 (0.256)	Data 0.661 (0.191)	Loss 5.1061 (5.0132)	Prec@1 4.688 (4.630)	Prec@5 14.453 (15.947)
Epoch: [8][6660/7045]	Time 0.176 (0.256)	Data 0.125 (0.191)	Loss 5.0174 (5.0132)	Prec@1 5.469 (4.630)	Prec@5 17.188 (15.948)
Epoch: [8][6670/7045]	Time 0.466 (0.256)	Data 0.415 (0.191)	Loss 4.9611 (5.0131)	Prec@1 5.469 (4.631)	Prec@5 15.625 (15.949)
Epoch: [8][6680/7045]	Time 0.437 (0.256)	Data 0.386 (0.191)	Loss 4.8550 (5.0130)	Prec@1 4.688 (4.631)	Prec@5 19.141 (15.949)
Epoch: [8][6690/7045]	Time 0.103 (0.256)	Data 0.044 (0.191)	Loss 4.8602 (5.0130)	Prec@1 6.641 (4.631)	Prec@5 17.578 (15.949)
Epoch: [8][6700/7045]	Time 0.443 (0.256)	Data 0.383 (0.191)	Loss 5.1702 (5.0130)	Prec@1 4.688 (4.631)	Prec@5 13.281 (15.948)
Epoch: [8][6710/7045]	Time 0.101 (0.256)	Data 0.001 (0.191)	Loss 5.0420 (5.0130)	Prec@1 3.516 (4.631)	Prec@5 14.062 (15.949)
Epoch: [8][6720/7045]	Time 0.312 (0.256)	Data 0.261 (0.191)	Loss 4.9497 (5.0130)	Prec@1 5.078 (4.633)	Prec@5 17.578 (15.952)
Epoch: [8][6730/7045]	Time 0.785 (0.256)	Data 0.726 (0.191)	Loss 4.8997 (5.0129)	Prec@1 5.078 (4.633)	Prec@5 20.703 (15.954)
Epoch: [8][6740/7045]	Time 0.109 (0.256)	Data 0.001 (0.191)	Loss 5.0675 (5.0130)	Prec@1 4.688 (4.632)	Prec@5 12.891 (15.951)
Epoch: [8][6750/7045]	Time 0.309 (0.256)	Data 0.258 (0.191)	Loss 5.1850 (5.0131)	Prec@1 2.734 (4.631)	Prec@5 13.281 (15.950)
Epoch: [8][6760/7045]	Time 0.235 (0.256)	Data 0.183 (0.191)	Loss 5.0104 (5.0131)	Prec@1 4.297 (4.633)	Prec@5 14.453 (15.949)
Epoch: [8][6770/7045]	Time 0.114 (0.256)	Data 0.052 (0.191)	Loss 5.0093 (5.0131)	Prec@1 4.297 (4.633)	Prec@5 17.969 (15.951)
Epoch: [8][6780/7045]	Time 0.570 (0.256)	Data 0.520 (0.191)	Loss 5.1266 (5.0131)	Prec@1 3.516 (4.633)	Prec@5 11.719 (15.951)
Epoch: [8][6790/7045]	Time 0.302 (0.256)	Data 0.251 (0.191)	Loss 5.1154 (5.0133)	Prec@1 1.953 (4.632)	Prec@5 13.672 (15.950)
Epoch: [8][6800/7045]	Time 0.632 (0.256)	Data 0.581 (0.191)	Loss 5.0340 (5.0133)	Prec@1 3.516 (4.632)	Prec@5 14.062 (15.948)
Epoch: [8][6810/7045]	Time 0.355 (0.256)	Data 0.303 (0.191)	Loss 5.0311 (5.0133)	Prec@1 5.078 (4.632)	Prec@5 16.797 (15.948)
Epoch: [8][6820/7045]	Time 0.187 (0.256)	Data 0.136 (0.191)	Loss 4.9782 (5.0133)	Prec@1 5.859 (4.632)	Prec@5 17.578 (15.949)
Epoch: [8][6830/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 5.0820 (5.0133)	Prec@1 3.125 (4.632)	Prec@5 12.891 (15.948)
Epoch: [8][6840/7045]	Time 0.371 (0.256)	Data 0.319 (0.191)	Loss 5.0829 (5.0133)	Prec@1 4.688 (4.632)	Prec@5 12.891 (15.948)
Epoch: [8][6850/7045]	Time 0.101 (0.256)	Data 0.048 (0.191)	Loss 5.0541 (5.0132)	Prec@1 5.078 (4.632)	Prec@5 14.062 (15.947)
Epoch: [8][6860/7045]	Time 0.172 (0.256)	Data 0.121 (0.191)	Loss 4.9531 (5.0133)	Prec@1 5.469 (4.631)	Prec@5 15.234 (15.945)
Epoch: [8][6870/7045]	Time 0.162 (0.256)	Data 0.110 (0.191)	Loss 5.0262 (5.0133)	Prec@1 4.297 (4.631)	Prec@5 17.188 (15.944)
Epoch: [8][6880/7045]	Time 0.275 (0.256)	Data 0.216 (0.191)	Loss 4.9776 (5.0133)	Prec@1 3.906 (4.631)	Prec@5 14.844 (15.946)
Epoch: [8][6890/7045]	Time 0.356 (0.256)	Data 0.305 (0.191)	Loss 5.0804 (5.0131)	Prec@1 3.516 (4.632)	Prec@5 13.672 (15.948)
Epoch: [8][6900/7045]	Time 0.140 (0.256)	Data 0.089 (0.191)	Loss 5.0000 (5.0131)	Prec@1 8.203 (4.632)	Prec@5 19.141 (15.949)
Epoch: [8][6910/7045]	Time 0.121 (0.256)	Data 0.067 (0.191)	Loss 5.0661 (5.0131)	Prec@1 2.734 (4.632)	Prec@5 10.938 (15.948)
Epoch: [8][6920/7045]	Time 0.100 (0.256)	Data 0.011 (0.191)	Loss 5.1541 (5.0132)	Prec@1 4.297 (4.632)	Prec@5 11.328 (15.948)
Epoch: [8][6930/7045]	Time 0.119 (0.256)	Data 0.067 (0.191)	Loss 5.1351 (5.0132)	Prec@1 4.688 (4.633)	Prec@5 14.062 (15.948)
Epoch: [8][6940/7045]	Time 0.408 (0.256)	Data 0.358 (0.191)	Loss 5.1057 (5.0133)	Prec@1 5.078 (4.633)	Prec@5 13.672 (15.946)
Epoch: [8][6950/7045]	Time 0.226 (0.256)	Data 0.175 (0.191)	Loss 4.8248 (5.0132)	Prec@1 4.688 (4.634)	Prec@5 16.797 (15.947)
Epoch: [8][6960/7045]	Time 0.100 (0.256)	Data 0.016 (0.191)	Loss 4.9237 (5.0131)	Prec@1 5.859 (4.635)	Prec@5 17.188 (15.950)
Epoch: [8][6970/7045]	Time 0.101 (0.256)	Data 0.004 (0.191)	Loss 4.9826 (5.0131)	Prec@1 7.031 (4.635)	Prec@5 23.047 (15.951)
Epoch: [8][6980/7045]	Time 0.101 (0.256)	Data 0.001 (0.191)	Loss 4.8351 (5.0131)	Prec@1 6.641 (4.636)	Prec@5 16.016 (15.951)
Epoch: [8][6990/7045]	Time 0.149 (0.256)	Data 0.099 (0.191)	Loss 5.0898 (5.0132)	Prec@1 3.516 (4.636)	Prec@5 12.500 (15.950)
Epoch: [8][7000/7045]	Time 0.173 (0.256)	Data 0.124 (0.191)	Loss 5.0719 (5.0131)	Prec@1 4.688 (4.636)	Prec@5 16.016 (15.951)
Epoch: [8][7010/7045]	Time 0.103 (0.256)	Data 0.001 (0.191)	Loss 4.9298 (5.0130)	Prec@1 5.859 (4.638)	Prec@5 18.750 (15.953)
Epoch: [8][7020/7045]	Time 0.456 (0.256)	Data 0.404 (0.191)	Loss 4.7888 (5.0130)	Prec@1 4.688 (4.637)	Prec@5 17.969 (15.951)
Epoch: [8][7030/7045]	Time 0.113 (0.256)	Data 0.062 (0.191)	Loss 4.8958 (5.0130)	Prec@1 8.203 (4.638)	Prec@5 20.703 (15.953)
Epoch: [8][7040/7045]	Time 0.113 (0.256)	Data 0.009 (0.191)	Loss 4.9028 (5.0130)	Prec@1 4.688 (4.638)	Prec@5 17.578 (15.953)
Test: [0/143]	Time 1.148 (1.148)	Loss 4.7602 (4.7602)	Prec@1 5.859 (5.859)	Prec@5 17.578 (17.578)
Test: [10/143]	Time 0.109 (0.245)	Loss 4.6787 (4.8736)	Prec@1 12.109 (6.072)	Prec@5 31.641 (19.070)
Test: [20/143]	Time 0.565 (0.231)	Loss 4.7261 (4.8497)	Prec@1 7.031 (6.659)	Prec@5 24.609 (21.038)
Test: [30/143]	Time 0.116 (0.206)	Loss 5.0024 (4.8660)	Prec@1 3.906 (6.275)	Prec@5 15.625 (20.514)
Test: [40/143]	Time 0.056 (0.205)	Loss 5.0658 (4.8608)	Prec@1 0.000 (6.107)	Prec@5 4.688 (19.750)
Test: [50/143]	Time 0.397 (0.203)	Loss 4.4874 (4.8662)	Prec@1 12.891 (5.990)	Prec@5 30.078 (19.278)
Test: [60/143]	Time 0.048 (0.197)	Loss 5.1840 (4.8545)	Prec@1 3.125 (6.090)	Prec@5 12.109 (19.992)
Test: [70/143]	Time 0.320 (0.199)	Loss 5.1051 (4.8584)	Prec@1 1.562 (5.771)	Prec@5 10.547 (19.471)
Test: [80/143]	Time 0.606 (0.198)	Loss 4.6291 (4.8545)	Prec@1 16.016 (5.700)	Prec@5 29.688 (19.546)
Test: [90/143]	Time 0.059 (0.192)	Loss 5.0900 (4.8557)	Prec@1 1.562 (5.731)	Prec@5 12.109 (19.587)
Test: [100/143]	Time 0.047 (0.193)	Loss 4.4797 (4.8534)	Prec@1 8.984 (5.712)	Prec@5 33.594 (19.775)
Test: [110/143]	Time 0.357 (0.191)	Loss 4.7016 (4.8486)	Prec@1 13.672 (6.025)	Prec@5 29.688 (20.049)
Test: [120/143]	Time 0.049 (0.191)	Loss 4.8233 (4.8398)	Prec@1 5.078 (6.263)	Prec@5 20.703 (20.354)
Test: [130/143]	Time 0.193 (0.189)	Loss 4.7225 (4.8422)	Prec@1 4.688 (6.247)	Prec@5 24.219 (20.262)
Test: [140/143]	Time 0.048 (0.189)	Loss 5.1390 (4.8492)	Prec@1 3.516 (6.258)	Prec@5 12.109 (20.024)
 * Prec@1 6.260 Prec@5 20.088
Epoch: [9][0/7045]	Time 2.533 (2.533)	Data 2.476 (2.476)	Loss 5.0534 (5.0534)	Prec@1 5.469 (5.469)	Prec@5 14.844 (14.844)
Epoch: [9][10/7045]	Time 0.101 (0.452)	Data 0.001 (0.373)	Loss 5.0305 (4.9857)	Prec@1 5.859 (5.327)	Prec@5 14.844 (15.945)
Epoch: [9][20/7045]	Time 0.281 (0.356)	Data 0.230 (0.288)	Loss 4.9333 (4.9842)	Prec@1 5.078 (5.376)	Prec@5 18.750 (16.146)
Epoch: [9][30/7045]	Time 0.380 (0.325)	Data 0.329 (0.259)	Loss 4.9635 (4.9712)	Prec@1 5.469 (5.229)	Prec@5 15.625 (16.419)
Epoch: [9][40/7045]	Time 0.100 (0.305)	Data 0.045 (0.241)	Loss 5.0979 (4.9926)	Prec@1 4.688 (5.164)	Prec@5 19.141 (16.111)
Epoch: [9][50/7045]	Time 0.203 (0.297)	Data 0.152 (0.234)	Loss 5.0449 (5.0038)	Prec@1 4.688 (5.063)	Prec@5 13.672 (15.740)
Epoch: [9][60/7045]	Time 0.101 (0.286)	Data 0.001 (0.221)	Loss 5.0466 (4.9961)	Prec@1 6.250 (5.155)	Prec@5 15.625 (16.201)
Epoch: [9][70/7045]	Time 0.106 (0.285)	Data 0.047 (0.218)	Loss 5.1016 (4.9967)	Prec@1 4.297 (5.034)	Prec@5 13.281 (16.131)
Epoch: [9][80/7045]	Time 0.236 (0.278)	Data 0.187 (0.213)	Loss 5.0422 (4.9931)	Prec@1 3.516 (5.035)	Prec@5 14.453 (16.228)
Epoch: [9][90/7045]	Time 0.191 (0.275)	Data 0.139 (0.211)	Loss 5.0464 (4.9954)	Prec@1 3.516 (5.005)	Prec@5 17.188 (16.286)
Epoch: [9][100/7045]	Time 0.291 (0.274)	Data 0.240 (0.210)	Loss 5.0342 (5.0060)	Prec@1 3.125 (4.877)	Prec@5 17.578 (16.070)
Epoch: [9][110/7045]	Time 0.134 (0.270)	Data 0.083 (0.207)	Loss 4.9622 (5.0100)	Prec@1 3.516 (4.828)	Prec@5 17.578 (15.973)
Epoch: [9][120/7045]	Time 0.102 (0.269)	Data 0.001 (0.206)	Loss 4.8841 (5.0087)	Prec@1 3.516 (4.797)	Prec@5 15.625 (15.970)
Epoch: [9][130/7045]	Time 0.625 (0.270)	Data 0.574 (0.207)	Loss 5.0154 (5.0122)	Prec@1 5.078 (4.807)	Prec@5 15.234 (15.878)
Epoch: [9][140/7045]	Time 0.103 (0.267)	Data 0.001 (0.204)	Loss 4.9919 (5.0125)	Prec@1 3.516 (4.735)	Prec@5 14.844 (15.824)
Epoch: [9][150/7045]	Time 0.356 (0.265)	Data 0.306 (0.202)	Loss 4.8282 (5.0077)	Prec@1 8.203 (4.783)	Prec@5 21.094 (15.933)
Epoch: [9][160/7045]	Time 0.146 (0.264)	Data 0.095 (0.201)	Loss 4.9333 (5.0048)	Prec@1 1.953 (4.760)	Prec@5 16.016 (15.974)
Epoch: [9][170/7045]	Time 0.229 (0.263)	Data 0.179 (0.201)	Loss 4.8087 (5.0021)	Prec@1 5.469 (4.756)	Prec@5 19.141 (16.002)
Epoch: [9][180/7045]	Time 0.291 (0.263)	Data 0.235 (0.201)	Loss 5.0428 (4.9989)	Prec@1 4.688 (4.770)	Prec@5 17.578 (16.067)
Epoch: [9][190/7045]	Time 0.426 (0.262)	Data 0.375 (0.200)	Loss 4.9961 (5.0015)	Prec@1 5.859 (4.769)	Prec@5 17.578 (16.059)
Epoch: [9][200/7045]	Time 0.244 (0.262)	Data 0.193 (0.199)	Loss 5.1585 (5.0011)	Prec@1 4.297 (4.783)	Prec@5 13.672 (16.080)
Epoch: [9][210/7045]	Time 0.217 (0.260)	Data 0.165 (0.198)	Loss 5.1479 (5.0003)	Prec@1 5.859 (4.782)	Prec@5 14.844 (16.099)
Epoch: [9][220/7045]	Time 0.499 (0.260)	Data 0.448 (0.198)	Loss 4.9926 (5.0022)	Prec@1 3.906 (4.764)	Prec@5 13.672 (16.062)
Epoch: [9][230/7045]	Time 0.403 (0.260)	Data 0.351 (0.198)	Loss 5.1421 (5.0036)	Prec@1 7.812 (4.782)	Prec@5 14.453 (16.053)
Epoch: [9][240/7045]	Time 0.299 (0.259)	Data 0.241 (0.197)	Loss 4.9442 (5.0025)	Prec@1 4.688 (4.786)	Prec@5 16.797 (16.059)
Epoch: [9][250/7045]	Time 0.102 (0.258)	Data 0.045 (0.196)	Loss 5.0983 (5.0014)	Prec@1 4.688 (4.820)	Prec@5 16.797 (16.095)
Epoch: [9][260/7045]	Time 0.340 (0.258)	Data 0.289 (0.196)	Loss 4.9414 (5.0015)	Prec@1 3.125 (4.827)	Prec@5 17.969 (16.086)
Epoch: [9][270/7045]	Time 0.186 (0.257)	Data 0.135 (0.195)	Loss 5.3002 (5.0030)	Prec@1 4.297 (4.816)	Prec@5 12.891 (16.072)
Epoch: [9][280/7045]	Time 0.335 (0.257)	Data 0.277 (0.196)	Loss 4.9633 (5.0033)	Prec@1 4.297 (4.796)	Prec@5 20.312 (16.080)
Epoch: [9][290/7045]	Time 0.429 (0.256)	Data 0.371 (0.195)	Loss 4.9907 (5.0011)	Prec@1 5.859 (4.824)	Prec@5 17.188 (16.110)
Epoch: [9][300/7045]	Time 0.223 (0.255)	Data 0.171 (0.194)	Loss 4.8871 (5.0012)	Prec@1 5.078 (4.794)	Prec@5 16.016 (16.091)
Epoch: [9][310/7045]	Time 0.450 (0.255)	Data 0.399 (0.194)	Loss 4.9636 (5.0030)	Prec@1 5.078 (4.779)	Prec@5 17.188 (16.041)
Epoch: [9][320/7045]	Time 0.177 (0.254)	Data 0.126 (0.193)	Loss 5.0795 (5.0026)	Prec@1 4.688 (4.787)	Prec@5 14.062 (16.052)
Epoch: [9][330/7045]	Time 0.415 (0.254)	Data 0.364 (0.193)	Loss 4.9223 (5.0003)	Prec@1 5.078 (4.808)	Prec@5 15.625 (16.060)
Epoch: [9][340/7045]	Time 0.102 (0.254)	Data 0.047 (0.192)	Loss 5.0067 (5.0007)	Prec@1 4.297 (4.801)	Prec@5 17.578 (16.089)
Epoch: [9][350/7045]	Time 0.395 (0.253)	Data 0.344 (0.191)	Loss 5.0666 (5.0031)	Prec@1 4.688 (4.775)	Prec@5 14.844 (16.028)
Epoch: [9][360/7045]	Time 0.105 (0.253)	Data 0.053 (0.191)	Loss 4.9367 (5.0053)	Prec@1 4.688 (4.751)	Prec@5 16.016 (15.968)
Epoch: [9][370/7045]	Time 0.142 (0.252)	Data 0.091 (0.191)	Loss 4.9726 (5.0064)	Prec@1 3.125 (4.737)	Prec@5 17.578 (15.938)
Epoch: [9][380/7045]	Time 0.173 (0.252)	Data 0.123 (0.191)	Loss 4.9581 (5.0070)	Prec@1 4.688 (4.746)	Prec@5 21.094 (15.958)
Epoch: [9][390/7045]	Time 0.226 (0.252)	Data 0.170 (0.191)	Loss 4.8528 (5.0053)	Prec@1 8.984 (4.756)	Prec@5 20.312 (15.994)
Epoch: [9][400/7045]	Time 0.106 (0.251)	Data 0.054 (0.191)	Loss 5.0281 (5.0064)	Prec@1 6.250 (4.747)	Prec@5 15.234 (15.969)
Epoch: [9][410/7045]	Time 0.271 (0.252)	Data 0.220 (0.191)	Loss 5.0909 (5.0070)	Prec@1 3.516 (4.738)	Prec@5 14.062 (15.956)
Epoch: [9][420/7045]	Time 0.226 (0.251)	Data 0.174 (0.190)	Loss 5.1359 (5.0077)	Prec@1 3.516 (4.740)	Prec@5 12.891 (15.947)
Epoch: [9][430/7045]	Time 0.179 (0.251)	Data 0.126 (0.190)	Loss 5.1880 (5.0083)	Prec@1 5.469 (4.741)	Prec@5 13.672 (15.923)
Epoch: [9][440/7045]	Time 0.444 (0.251)	Data 0.392 (0.190)	Loss 4.9985 (5.0082)	Prec@1 3.516 (4.723)	Prec@5 16.406 (15.935)
Epoch: [9][450/7045]	Time 0.101 (0.251)	Data 0.001 (0.190)	Loss 5.0772 (5.0085)	Prec@1 2.344 (4.708)	Prec@5 17.578 (15.942)
Epoch: [9][460/7045]	Time 0.452 (0.251)	Data 0.402 (0.190)	Loss 5.1904 (5.0085)	Prec@1 0.781 (4.700)	Prec@5 7.422 (15.932)
Epoch: [9][470/7045]	Time 0.326 (0.250)	Data 0.274 (0.190)	Loss 5.0168 (5.0101)	Prec@1 3.906 (4.688)	Prec@5 15.234 (15.905)
Epoch: [9][480/7045]	Time 0.196 (0.250)	Data 0.144 (0.190)	Loss 5.1946 (5.0095)	Prec@1 3.516 (4.700)	Prec@5 10.938 (15.924)
Epoch: [9][490/7045]	Time 0.233 (0.250)	Data 0.182 (0.190)	Loss 4.9433 (5.0082)	Prec@1 4.688 (4.706)	Prec@5 17.969 (15.939)
Epoch: [9][500/7045]	Time 0.112 (0.250)	Data 0.052 (0.189)	Loss 5.0671 (5.0084)	Prec@1 4.297 (4.698)	Prec@5 13.672 (15.919)
Epoch: [9][510/7045]	Time 0.105 (0.249)	Data 0.053 (0.189)	Loss 5.1917 (5.0095)	Prec@1 3.125 (4.699)	Prec@5 15.234 (15.909)
Epoch: [9][520/7045]	Time 0.101 (0.249)	Data 0.047 (0.189)	Loss 5.1780 (5.0111)	Prec@1 2.734 (4.681)	Prec@5 12.500 (15.879)
Epoch: [9][530/7045]	Time 0.304 (0.249)	Data 0.253 (0.189)	Loss 4.9798 (5.0106)	Prec@1 4.297 (4.681)	Prec@5 11.719 (15.866)
Epoch: [9][540/7045]	Time 0.101 (0.249)	Data 0.001 (0.188)	Loss 4.9486 (5.0104)	Prec@1 9.766 (4.687)	Prec@5 16.797 (15.872)
Epoch: [9][550/7045]	Time 0.428 (0.249)	Data 0.378 (0.189)	Loss 5.1104 (5.0107)	Prec@1 4.297 (4.677)	Prec@5 14.844 (15.855)
Epoch: [9][560/7045]	Time 0.220 (0.249)	Data 0.168 (0.188)	Loss 5.0313 (5.0113)	Prec@1 4.688 (4.667)	Prec@5 17.188 (15.838)
Epoch: [9][570/7045]	Time 0.368 (0.249)	Data 0.317 (0.188)	Loss 5.0605 (5.0109)	Prec@1 3.516 (4.662)	Prec@5 16.406 (15.843)
Epoch: [9][580/7045]	Time 0.476 (0.249)	Data 0.425 (0.188)	Loss 5.0039 (5.0112)	Prec@1 4.297 (4.661)	Prec@5 16.406 (15.837)
Epoch: [9][590/7045]	Time 0.110 (0.249)	Data 0.058 (0.188)	Loss 5.0442 (5.0119)	Prec@1 3.906 (4.667)	Prec@5 16.406 (15.837)
Epoch: [9][600/7045]	Time 0.362 (0.249)	Data 0.310 (0.187)	Loss 4.9333 (5.0121)	Prec@1 5.859 (4.664)	Prec@5 18.359 (15.831)
Epoch: [9][610/7045]	Time 0.101 (0.248)	Data 0.001 (0.187)	Loss 5.0254 (5.0135)	Prec@1 3.516 (4.653)	Prec@5 13.672 (15.812)
Epoch: [9][620/7045]	Time 0.100 (0.248)	Data 0.045 (0.187)	Loss 4.8804 (5.0133)	Prec@1 4.688 (4.649)	Prec@5 23.047 (15.829)
Epoch: [9][630/7045]	Time 0.100 (0.248)	Data 0.001 (0.187)	Loss 4.9829 (5.0134)	Prec@1 7.812 (4.646)	Prec@5 16.406 (15.814)
Epoch: [9][640/7045]	Time 0.214 (0.248)	Data 0.157 (0.187)	Loss 4.9816 (5.0136)	Prec@1 5.469 (4.636)	Prec@5 19.141 (15.809)
Epoch: [9][650/7045]	Time 0.271 (0.248)	Data 0.221 (0.187)	Loss 4.9841 (5.0138)	Prec@1 5.859 (4.636)	Prec@5 17.188 (15.799)
Epoch: [9][660/7045]	Time 0.175 (0.248)	Data 0.118 (0.187)	Loss 5.0129 (5.0140)	Prec@1 5.469 (4.632)	Prec@5 16.406 (15.798)
Epoch: [9][670/7045]	Time 0.540 (0.248)	Data 0.489 (0.187)	Loss 5.0119 (5.0154)	Prec@1 4.688 (4.614)	Prec@5 16.797 (15.759)
Epoch: [9][680/7045]	Time 0.171 (0.248)	Data 0.120 (0.186)	Loss 5.0989 (5.0163)	Prec@1 3.906 (4.608)	Prec@5 13.281 (15.739)
Epoch: [9][690/7045]	Time 0.285 (0.248)	Data 0.228 (0.187)	Loss 5.0654 (5.0168)	Prec@1 3.516 (4.611)	Prec@5 16.406 (15.744)
Epoch: [9][700/7045]	Time 0.167 (0.248)	Data 0.116 (0.186)	Loss 5.0581 (5.0167)	Prec@1 4.297 (4.626)	Prec@5 14.062 (15.755)
Epoch: [9][710/7045]	Time 0.127 (0.248)	Data 0.070 (0.187)	Loss 5.0888 (5.0164)	Prec@1 1.562 (4.628)	Prec@5 13.672 (15.758)
Epoch: [9][720/7045]	Time 0.107 (0.248)	Data 0.055 (0.186)	Loss 4.9087 (5.0154)	Prec@1 6.641 (4.650)	Prec@5 17.578 (15.773)
Epoch: [9][730/7045]	Time 0.103 (0.248)	Data 0.001 (0.186)	Loss 5.0753 (5.0156)	Prec@1 4.297 (4.645)	Prec@5 14.062 (15.769)
Epoch: [9][740/7045]	Time 0.598 (0.248)	Data 0.548 (0.187)	Loss 4.9827 (5.0159)	Prec@1 3.516 (4.647)	Prec@5 17.188 (15.768)
Epoch: [9][750/7045]	Time 0.118 (0.248)	Data 0.059 (0.186)	Loss 4.9196 (5.0161)	Prec@1 5.078 (4.637)	Prec@5 15.234 (15.763)
Epoch: [9][760/7045]	Time 0.512 (0.248)	Data 0.462 (0.186)	Loss 4.9201 (5.0156)	Prec@1 6.250 (4.646)	Prec@5 18.750 (15.778)
Epoch: [9][770/7045]	Time 0.207 (0.247)	Data 0.157 (0.186)	Loss 4.9213 (5.0148)	Prec@1 5.859 (4.650)	Prec@5 16.797 (15.794)
Epoch: [9][780/7045]	Time 0.103 (0.248)	Data 0.001 (0.186)	Loss 5.0037 (5.0146)	Prec@1 4.297 (4.651)	Prec@5 14.062 (15.803)
Epoch: [9][790/7045]	Time 0.121 (0.247)	Data 0.070 (0.185)	Loss 5.1494 (5.0147)	Prec@1 1.953 (4.643)	Prec@5 13.672 (15.797)
Epoch: [9][800/7045]	Time 0.101 (0.247)	Data 0.006 (0.185)	Loss 5.0044 (5.0152)	Prec@1 5.469 (4.630)	Prec@5 18.359 (15.789)
Epoch: [9][810/7045]	Time 0.260 (0.247)	Data 0.209 (0.185)	Loss 4.9615 (5.0151)	Prec@1 5.859 (4.630)	Prec@5 15.625 (15.802)
Epoch: [9][820/7045]	Time 0.108 (0.247)	Data 0.056 (0.185)	Loss 5.1372 (5.0156)	Prec@1 4.688 (4.634)	Prec@5 13.281 (15.802)
Epoch: [9][830/7045]	Time 0.520 (0.247)	Data 0.459 (0.185)	Loss 5.1527 (5.0156)	Prec@1 5.078 (4.631)	Prec@5 14.844 (15.802)
Epoch: [9][840/7045]	Time 0.319 (0.247)	Data 0.269 (0.185)	Loss 5.0652 (5.0158)	Prec@1 3.125 (4.629)	Prec@5 13.672 (15.803)
Epoch: [9][850/7045]	Time 0.238 (0.247)	Data 0.186 (0.185)	Loss 5.0146 (5.0171)	Prec@1 4.688 (4.621)	Prec@5 12.500 (15.773)
Epoch: [9][860/7045]	Time 0.241 (0.247)	Data 0.191 (0.185)	Loss 4.8663 (5.0167)	Prec@1 5.469 (4.618)	Prec@5 15.234 (15.770)
Epoch: [9][870/7045]	Time 0.215 (0.247)	Data 0.165 (0.185)	Loss 5.0611 (5.0167)	Prec@1 5.859 (4.625)	Prec@5 16.797 (15.780)
Epoch: [9][880/7045]	Time 0.191 (0.247)	Data 0.140 (0.185)	Loss 4.9500 (5.0169)	Prec@1 2.734 (4.622)	Prec@5 17.969 (15.782)
Epoch: [9][890/7045]	Time 0.197 (0.247)	Data 0.146 (0.185)	Loss 4.9425 (5.0165)	Prec@1 7.422 (4.627)	Prec@5 18.359 (15.785)
Epoch: [9][900/7045]	Time 0.102 (0.247)	Data 0.001 (0.185)	Loss 5.0899 (5.0162)	Prec@1 5.078 (4.622)	Prec@5 17.188 (15.796)
Epoch: [9][910/7045]	Time 0.248 (0.247)	Data 0.196 (0.185)	Loss 4.9969 (5.0161)	Prec@1 3.906 (4.623)	Prec@5 13.672 (15.793)
Epoch: [9][920/7045]	Time 0.246 (0.247)	Data 0.194 (0.185)	Loss 5.1188 (5.0165)	Prec@1 3.906 (4.626)	Prec@5 15.234 (15.795)
Epoch: [9][930/7045]	Time 0.238 (0.247)	Data 0.188 (0.185)	Loss 4.9470 (5.0165)	Prec@1 6.250 (4.626)	Prec@5 18.750 (15.796)
Epoch: [9][940/7045]	Time 0.366 (0.247)	Data 0.309 (0.185)	Loss 5.0140 (5.0159)	Prec@1 6.250 (4.636)	Prec@5 15.625 (15.807)
Epoch: [9][950/7045]	Time 0.135 (0.246)	Data 0.082 (0.185)	Loss 4.9826 (5.0155)	Prec@1 2.734 (4.639)	Prec@5 14.062 (15.814)
Epoch: [9][960/7045]	Time 0.337 (0.246)	Data 0.287 (0.185)	Loss 4.9312 (5.0149)	Prec@1 4.688 (4.650)	Prec@5 20.703 (15.831)
Epoch: [9][970/7045]	Time 0.100 (0.246)	Data 0.048 (0.185)	Loss 5.0241 (5.0151)	Prec@1 3.906 (4.650)	Prec@5 18.359 (15.826)
Epoch: [9][980/7045]	Time 0.266 (0.246)	Data 0.215 (0.185)	Loss 5.1153 (5.0148)	Prec@1 5.078 (4.643)	Prec@5 15.234 (15.826)
Epoch: [9][990/7045]	Time 0.217 (0.246)	Data 0.159 (0.185)	Loss 5.0649 (5.0151)	Prec@1 4.688 (4.645)	Prec@5 16.406 (15.826)
Epoch: [9][1000/7045]	Time 0.101 (0.246)	Data 0.041 (0.185)	Loss 5.0717 (5.0152)	Prec@1 5.469 (4.638)	Prec@5 15.234 (15.825)
Epoch: [9][1010/7045]	Time 0.245 (0.246)	Data 0.193 (0.185)	Loss 5.1348 (5.0161)	Prec@1 3.125 (4.630)	Prec@5 11.719 (15.809)
Epoch: [9][1020/7045]	Time 0.243 (0.246)	Data 0.192 (0.185)	Loss 5.1427 (5.0168)	Prec@1 3.125 (4.616)	Prec@5 12.891 (15.791)
Epoch: [9][1030/7045]	Time 0.196 (0.246)	Data 0.145 (0.185)	Loss 5.1755 (5.0181)	Prec@1 3.906 (4.607)	Prec@5 14.844 (15.771)
Epoch: [9][1040/7045]	Time 0.387 (0.246)	Data 0.329 (0.185)	Loss 5.1964 (5.0191)	Prec@1 3.125 (4.602)	Prec@5 12.891 (15.751)
Epoch: [9][1050/7045]	Time 0.111 (0.246)	Data 0.059 (0.185)	Loss 5.1472 (5.0198)	Prec@1 3.516 (4.601)	Prec@5 13.672 (15.740)
Epoch: [9][1060/7045]	Time 0.203 (0.246)	Data 0.153 (0.185)	Loss 5.1407 (5.0200)	Prec@1 3.906 (4.599)	Prec@5 11.719 (15.742)
Epoch: [9][1070/7045]	Time 0.112 (0.246)	Data 0.060 (0.185)	Loss 4.9823 (5.0195)	Prec@1 4.688 (4.604)	Prec@5 16.797 (15.750)
Epoch: [9][1080/7045]	Time 0.102 (0.246)	Data 0.006 (0.185)	Loss 4.8794 (5.0190)	Prec@1 5.469 (4.608)	Prec@5 14.844 (15.753)
Epoch: [9][1090/7045]	Time 0.102 (0.246)	Data 0.001 (0.184)	Loss 5.0110 (5.0185)	Prec@1 3.906 (4.612)	Prec@5 14.844 (15.757)
Epoch: [9][1100/7045]	Time 0.106 (0.246)	Data 0.046 (0.184)	Loss 5.0561 (5.0187)	Prec@1 4.688 (4.616)	Prec@5 14.453 (15.752)
Epoch: [9][1110/7045]	Time 0.102 (0.246)	Data 0.001 (0.184)	Loss 4.7055 (5.0177)	Prec@1 3.906 (4.620)	Prec@5 20.703 (15.778)
Epoch: [9][1120/7045]	Time 0.107 (0.246)	Data 0.003 (0.184)	Loss 4.9462 (5.0171)	Prec@1 3.906 (4.626)	Prec@5 18.750 (15.792)
Epoch: [9][1130/7045]	Time 0.184 (0.246)	Data 0.134 (0.184)	Loss 4.9215 (5.0172)	Prec@1 2.734 (4.623)	Prec@5 16.406 (15.784)
Epoch: [9][1140/7045]	Time 0.104 (0.246)	Data 0.047 (0.184)	Loss 5.0443 (5.0170)	Prec@1 5.469 (4.618)	Prec@5 17.578 (15.793)
Epoch: [9][1150/7045]	Time 0.352 (0.246)	Data 0.301 (0.184)	Loss 4.9478 (5.0170)	Prec@1 6.641 (4.623)	Prec@5 16.016 (15.794)
Epoch: [9][1160/7045]	Time 0.114 (0.246)	Data 0.062 (0.184)	Loss 5.0191 (5.0173)	Prec@1 3.516 (4.618)	Prec@5 14.062 (15.779)
Epoch: [9][1170/7045]	Time 0.299 (0.246)	Data 0.248 (0.184)	Loss 5.0145 (5.0172)	Prec@1 5.078 (4.615)	Prec@5 16.406 (15.774)
Epoch: [9][1180/7045]	Time 0.111 (0.246)	Data 0.059 (0.184)	Loss 4.8200 (5.0166)	Prec@1 5.078 (4.615)	Prec@5 20.312 (15.784)
Epoch: [9][1190/7045]	Time 0.241 (0.245)	Data 0.190 (0.184)	Loss 4.9453 (5.0163)	Prec@1 5.469 (4.620)	Prec@5 15.625 (15.787)
Epoch: [9][1200/7045]	Time 0.108 (0.245)	Data 0.050 (0.184)	Loss 5.0540 (5.0166)	Prec@1 2.344 (4.621)	Prec@5 13.281 (15.791)
Epoch: [9][1210/7045]	Time 0.233 (0.245)	Data 0.182 (0.183)	Loss 5.0626 (5.0174)	Prec@1 3.125 (4.623)	Prec@5 13.672 (15.778)
Epoch: [9][1220/7045]	Time 0.167 (0.245)	Data 0.117 (0.184)	Loss 5.1107 (5.0183)	Prec@1 5.469 (4.616)	Prec@5 17.188 (15.763)
Epoch: [9][1230/7045]	Time 0.210 (0.245)	Data 0.158 (0.183)	Loss 5.1506 (5.0186)	Prec@1 5.078 (4.616)	Prec@5 14.062 (15.762)
Epoch: [9][1240/7045]	Time 0.131 (0.245)	Data 0.072 (0.183)	Loss 4.9010 (5.0182)	Prec@1 5.078 (4.615)	Prec@5 18.750 (15.769)
Epoch: [9][1250/7045]	Time 0.188 (0.245)	Data 0.134 (0.183)	Loss 4.9353 (5.0180)	Prec@1 5.859 (4.619)	Prec@5 18.359 (15.776)
Epoch: [9][1260/7045]	Time 0.117 (0.245)	Data 0.056 (0.183)	Loss 4.9696 (5.0176)	Prec@1 2.344 (4.617)	Prec@5 16.406 (15.778)
Epoch: [9][1270/7045]	Time 0.112 (0.245)	Data 0.060 (0.183)	Loss 4.9600 (5.0177)	Prec@1 5.859 (4.620)	Prec@5 17.188 (15.776)
Epoch: [9][1280/7045]	Time 0.109 (0.245)	Data 0.011 (0.183)	Loss 4.9602 (5.0178)	Prec@1 4.688 (4.616)	Prec@5 13.281 (15.767)
Epoch: [9][1290/7045]	Time 0.103 (0.245)	Data 0.003 (0.183)	Loss 5.0200 (5.0179)	Prec@1 5.859 (4.614)	Prec@5 15.625 (15.771)
Epoch: [9][1300/7045]	Time 0.102 (0.245)	Data 0.003 (0.183)	Loss 5.0692 (5.0179)	Prec@1 5.078 (4.615)	Prec@5 16.797 (15.773)
Epoch: [9][1310/7045]	Time 0.102 (0.245)	Data 0.001 (0.183)	Loss 4.9698 (5.0177)	Prec@1 4.297 (4.616)	Prec@5 19.141 (15.780)
Epoch: [9][1320/7045]	Time 0.107 (0.245)	Data 0.049 (0.183)	Loss 5.1241 (5.0176)	Prec@1 5.469 (4.620)	Prec@5 14.844 (15.788)
Epoch: [9][1330/7045]	Time 0.102 (0.244)	Data 0.001 (0.182)	Loss 5.1753 (5.0176)	Prec@1 3.516 (4.618)	Prec@5 15.625 (15.779)
Epoch: [9][1340/7045]	Time 0.116 (0.245)	Data 0.057 (0.183)	Loss 5.0845 (5.0174)	Prec@1 2.344 (4.615)	Prec@5 14.453 (15.783)
Epoch: [9][1350/7045]	Time 0.102 (0.244)	Data 0.001 (0.182)	Loss 5.0160 (5.0176)	Prec@1 5.078 (4.613)	Prec@5 16.016 (15.787)
Epoch: [9][1360/7045]	Time 0.176 (0.245)	Data 0.125 (0.183)	Loss 5.0092 (5.0175)	Prec@1 3.906 (4.621)	Prec@5 16.406 (15.797)
Epoch: [9][1370/7045]	Time 0.102 (0.244)	Data 0.003 (0.182)	Loss 4.8974 (5.0175)	Prec@1 6.641 (4.623)	Prec@5 19.922 (15.795)
Epoch: [9][1380/7045]	Time 0.217 (0.245)	Data 0.167 (0.182)	Loss 5.0047 (5.0172)	Prec@1 3.906 (4.627)	Prec@5 15.234 (15.807)
Epoch: [9][1390/7045]	Time 0.102 (0.244)	Data 0.001 (0.182)	Loss 4.8407 (5.0176)	Prec@1 3.125 (4.625)	Prec@5 22.266 (15.801)
Epoch: [9][1400/7045]	Time 0.239 (0.244)	Data 0.182 (0.182)	Loss 5.2433 (5.0182)	Prec@1 3.906 (4.624)	Prec@5 15.625 (15.799)
Epoch: [9][1410/7045]	Time 0.105 (0.244)	Data 0.053 (0.182)	Loss 4.9394 (5.0182)	Prec@1 5.859 (4.624)	Prec@5 16.016 (15.797)
Epoch: [9][1420/7045]	Time 0.187 (0.244)	Data 0.136 (0.182)	Loss 5.0095 (5.0178)	Prec@1 6.250 (4.631)	Prec@5 19.922 (15.807)
Epoch: [9][1430/7045]	Time 0.108 (0.244)	Data 0.056 (0.182)	Loss 5.0785 (5.0178)	Prec@1 4.297 (4.626)	Prec@5 14.453 (15.804)
Epoch: [9][1440/7045]	Time 0.177 (0.244)	Data 0.126 (0.182)	Loss 5.1005 (5.0178)	Prec@1 4.688 (4.628)	Prec@5 12.891 (15.795)
Epoch: [9][1450/7045]	Time 0.108 (0.244)	Data 0.057 (0.182)	Loss 4.8621 (5.0175)	Prec@1 6.641 (4.630)	Prec@5 19.922 (15.802)
Epoch: [9][1460/7045]	Time 0.198 (0.244)	Data 0.142 (0.182)	Loss 5.0726 (5.0173)	Prec@1 3.516 (4.628)	Prec@5 10.156 (15.807)
Epoch: [9][1470/7045]	Time 0.164 (0.244)	Data 0.113 (0.182)	Loss 5.1547 (5.0173)	Prec@1 3.125 (4.624)	Prec@5 16.016 (15.809)
Epoch: [9][1480/7045]	Time 0.146 (0.244)	Data 0.095 (0.182)	Loss 4.9271 (5.0172)	Prec@1 3.516 (4.626)	Prec@5 17.578 (15.813)
Epoch: [9][1490/7045]	Time 0.107 (0.244)	Data 0.055 (0.182)	Loss 4.9381 (5.0166)	Prec@1 4.688 (4.628)	Prec@5 18.359 (15.824)
Epoch: [9][1500/7045]	Time 0.170 (0.244)	Data 0.119 (0.182)	Loss 4.9996 (5.0166)	Prec@1 6.641 (4.630)	Prec@5 13.672 (15.827)
Epoch: [9][1510/7045]	Time 0.360 (0.244)	Data 0.310 (0.182)	Loss 4.9852 (5.0163)	Prec@1 4.688 (4.633)	Prec@5 15.625 (15.830)
Epoch: [9][1520/7045]	Time 0.135 (0.244)	Data 0.084 (0.182)	Loss 4.9042 (5.0163)	Prec@1 3.516 (4.631)	Prec@5 14.062 (15.831)
Epoch: [9][1530/7045]	Time 0.469 (0.244)	Data 0.418 (0.182)	Loss 4.8847 (5.0157)	Prec@1 4.688 (4.633)	Prec@5 20.703 (15.843)
Epoch: [9][1540/7045]	Time 0.101 (0.244)	Data 0.049 (0.182)	Loss 5.0604 (5.0157)	Prec@1 5.078 (4.636)	Prec@5 15.625 (15.842)
Epoch: [9][1550/7045]	Time 0.367 (0.244)	Data 0.309 (0.182)	Loss 4.9286 (5.0155)	Prec@1 5.078 (4.634)	Prec@5 19.531 (15.843)
Epoch: [9][1560/7045]	Time 0.101 (0.244)	Data 0.003 (0.181)	Loss 5.0304 (5.0150)	Prec@1 5.859 (4.637)	Prec@5 17.578 (15.851)
Epoch: [9][1570/7045]	Time 0.246 (0.244)	Data 0.194 (0.182)	Loss 4.8477 (5.0146)	Prec@1 5.859 (4.638)	Prec@5 19.922 (15.857)
Epoch: [9][1580/7045]	Time 0.101 (0.244)	Data 0.045 (0.181)	Loss 4.9450 (5.0143)	Prec@1 4.297 (4.641)	Prec@5 14.453 (15.861)
Epoch: [9][1590/7045]	Time 0.192 (0.244)	Data 0.142 (0.182)	Loss 5.0252 (5.0148)	Prec@1 4.688 (4.639)	Prec@5 16.797 (15.859)
Epoch: [9][1600/7045]	Time 0.149 (0.244)	Data 0.098 (0.182)	Loss 5.1843 (5.0151)	Prec@1 2.734 (4.636)	Prec@5 10.938 (15.847)
Epoch: [9][1610/7045]	Time 0.239 (0.244)	Data 0.188 (0.182)	Loss 5.0576 (5.0152)	Prec@1 2.734 (4.633)	Prec@5 14.844 (15.844)
Epoch: [9][1620/7045]	Time 0.235 (0.244)	Data 0.184 (0.182)	Loss 4.8772 (5.0147)	Prec@1 6.250 (4.638)	Prec@5 20.703 (15.858)
Epoch: [9][1630/7045]	Time 0.188 (0.244)	Data 0.137 (0.182)	Loss 4.9112 (5.0144)	Prec@1 6.250 (4.641)	Prec@5 20.312 (15.865)
Epoch: [9][1640/7045]	Time 0.414 (0.244)	Data 0.362 (0.182)	Loss 5.0138 (5.0146)	Prec@1 6.641 (4.637)	Prec@5 16.016 (15.858)
Epoch: [9][1650/7045]	Time 0.179 (0.244)	Data 0.127 (0.182)	Loss 4.7601 (5.0143)	Prec@1 3.906 (4.638)	Prec@5 21.094 (15.865)
Epoch: [9][1660/7045]	Time 0.446 (0.244)	Data 0.394 (0.182)	Loss 5.0505 (5.0140)	Prec@1 5.859 (4.641)	Prec@5 17.188 (15.874)
Epoch: [9][1670/7045]	Time 0.167 (0.243)	Data 0.111 (0.182)	Loss 4.9753 (5.0141)	Prec@1 5.078 (4.642)	Prec@5 12.891 (15.871)
Epoch: [9][1680/7045]	Time 0.507 (0.244)	Data 0.457 (0.182)	Loss 5.2787 (5.0146)	Prec@1 1.172 (4.638)	Prec@5 10.547 (15.855)
Epoch: [9][1690/7045]	Time 0.107 (0.243)	Data 0.048 (0.182)	Loss 5.0113 (5.0147)	Prec@1 4.297 (4.633)	Prec@5 15.625 (15.854)
Epoch: [9][1700/7045]	Time 0.515 (0.243)	Data 0.462 (0.182)	Loss 4.9277 (5.0145)	Prec@1 6.641 (4.636)	Prec@5 19.141 (15.861)
Epoch: [9][1710/7045]	Time 0.102 (0.243)	Data 0.001 (0.182)	Loss 5.0858 (5.0145)	Prec@1 5.469 (4.639)	Prec@5 12.891 (15.865)
Epoch: [9][1720/7045]	Time 0.564 (0.243)	Data 0.513 (0.182)	Loss 5.0286 (5.0146)	Prec@1 7.031 (4.640)	Prec@5 16.016 (15.866)
Epoch: [9][1730/7045]	Time 0.106 (0.243)	Data 0.005 (0.182)	Loss 5.0743 (5.0142)	Prec@1 3.125 (4.640)	Prec@5 14.453 (15.872)
Epoch: [9][1740/7045]	Time 0.595 (0.243)	Data 0.544 (0.182)	Loss 4.9321 (5.0141)	Prec@1 3.125 (4.638)	Prec@5 15.625 (15.868)
Epoch: [9][1750/7045]	Time 0.108 (0.243)	Data 0.001 (0.182)	Loss 5.0329 (5.0138)	Prec@1 4.688 (4.637)	Prec@5 14.844 (15.871)
Epoch: [9][1760/7045]	Time 0.499 (0.243)	Data 0.448 (0.182)	Loss 4.9269 (5.0134)	Prec@1 5.859 (4.638)	Prec@5 20.703 (15.881)
Epoch: [9][1770/7045]	Time 0.101 (0.243)	Data 0.004 (0.181)	Loss 4.9574 (5.0132)	Prec@1 4.297 (4.642)	Prec@5 21.484 (15.887)
Epoch: [9][1780/7045]	Time 0.655 (0.243)	Data 0.602 (0.181)	Loss 4.9847 (5.0129)	Prec@1 3.906 (4.641)	Prec@5 13.281 (15.892)
Epoch: [9][1790/7045]	Time 0.103 (0.243)	Data 0.005 (0.181)	Loss 4.9378 (5.0126)	Prec@1 6.641 (4.641)	Prec@5 16.406 (15.897)
Epoch: [9][1800/7045]	Time 0.640 (0.243)	Data 0.582 (0.181)	Loss 4.8867 (5.0123)	Prec@1 7.031 (4.643)	Prec@5 20.703 (15.900)
Epoch: [9][1810/7045]	Time 0.101 (0.243)	Data 0.001 (0.181)	Loss 4.9665 (5.0119)	Prec@1 2.344 (4.646)	Prec@5 13.672 (15.908)
Epoch: [9][1820/7045]	Time 0.673 (0.243)	Data 0.621 (0.181)	Loss 4.8092 (5.0117)	Prec@1 5.469 (4.650)	Prec@5 17.578 (15.909)
Epoch: [9][1830/7045]	Time 0.101 (0.243)	Data 0.001 (0.181)	Loss 5.1341 (5.0120)	Prec@1 3.125 (4.647)	Prec@5 13.672 (15.904)
Epoch: [9][1840/7045]	Time 0.694 (0.243)	Data 0.638 (0.181)	Loss 5.0479 (5.0121)	Prec@1 4.688 (4.645)	Prec@5 14.062 (15.902)
Epoch: [9][1850/7045]	Time 0.102 (0.243)	Data 0.001 (0.180)	Loss 4.8499 (5.0121)	Prec@1 6.641 (4.646)	Prec@5 20.703 (15.901)
Epoch: [9][1860/7045]	Time 0.617 (0.243)	Data 0.566 (0.180)	Loss 5.0334 (5.0119)	Prec@1 5.078 (4.651)	Prec@5 19.922 (15.906)
Epoch: [9][1870/7045]	Time 0.110 (0.243)	Data 0.058 (0.180)	Loss 5.1240 (5.0123)	Prec@1 4.297 (4.646)	Prec@5 14.062 (15.898)
Epoch: [9][1880/7045]	Time 0.613 (0.243)	Data 0.562 (0.180)	Loss 5.0967 (5.0126)	Prec@1 6.250 (4.640)	Prec@5 16.016 (15.884)
Epoch: [9][1890/7045]	Time 0.130 (0.243)	Data 0.080 (0.180)	Loss 5.0544 (5.0127)	Prec@1 4.297 (4.640)	Prec@5 14.062 (15.879)
Epoch: [9][1900/7045]	Time 0.305 (0.243)	Data 0.254 (0.180)	Loss 4.9802 (5.0127)	Prec@1 4.688 (4.643)	Prec@5 17.188 (15.884)
Epoch: [9][1910/7045]	Time 0.137 (0.243)	Data 0.086 (0.180)	Loss 5.0330 (5.0125)	Prec@1 3.125 (4.645)	Prec@5 13.672 (15.886)
Epoch: [9][1920/7045]	Time 0.112 (0.243)	Data 0.052 (0.180)	Loss 5.0204 (5.0124)	Prec@1 5.859 (4.650)	Prec@5 16.406 (15.891)
Epoch: [9][1930/7045]	Time 0.105 (0.243)	Data 0.053 (0.180)	Loss 4.8600 (5.0120)	Prec@1 5.469 (4.652)	Prec@5 21.484 (15.899)
Epoch: [9][1940/7045]	Time 0.179 (0.243)	Data 0.129 (0.180)	Loss 4.9919 (5.0121)	Prec@1 5.469 (4.652)	Prec@5 19.531 (15.902)
Epoch: [9][1950/7045]	Time 0.102 (0.243)	Data 0.007 (0.180)	Loss 5.0734 (5.0119)	Prec@1 5.859 (4.656)	Prec@5 15.234 (15.906)
Epoch: [9][1960/7045]	Time 0.110 (0.243)	Data 0.057 (0.180)	Loss 4.9834 (5.0119)	Prec@1 2.734 (4.654)	Prec@5 16.406 (15.902)
Epoch: [9][1970/7045]	Time 0.196 (0.243)	Data 0.145 (0.180)	Loss 5.0199 (5.0119)	Prec@1 3.125 (4.654)	Prec@5 14.062 (15.901)
Epoch: [9][1980/7045]	Time 0.100 (0.243)	Data 0.049 (0.180)	Loss 5.1536 (5.0120)	Prec@1 4.297 (4.652)	Prec@5 14.062 (15.899)
Epoch: [9][1990/7045]	Time 0.378 (0.243)	Data 0.328 (0.180)	Loss 5.1599 (5.0120)	Prec@1 3.125 (4.646)	Prec@5 15.234 (15.895)
Epoch: [9][2000/7045]	Time 0.102 (0.243)	Data 0.001 (0.180)	Loss 5.0189 (5.0122)	Prec@1 5.859 (4.645)	Prec@5 16.406 (15.893)
Epoch: [9][2010/7045]	Time 0.460 (0.243)	Data 0.409 (0.180)	Loss 4.9387 (5.0120)	Prec@1 5.078 (4.645)	Prec@5 16.797 (15.899)
Epoch: [9][2020/7045]	Time 0.120 (0.243)	Data 0.069 (0.180)	Loss 5.0870 (5.0118)	Prec@1 3.906 (4.646)	Prec@5 12.500 (15.902)
Epoch: [9][2030/7045]	Time 0.464 (0.243)	Data 0.414 (0.180)	Loss 4.8955 (5.0114)	Prec@1 6.250 (4.648)	Prec@5 17.188 (15.909)
Epoch: [9][2040/7045]	Time 0.364 (0.243)	Data 0.313 (0.180)	Loss 5.0518 (5.0114)	Prec@1 4.688 (4.650)	Prec@5 14.844 (15.908)
Epoch: [9][2050/7045]	Time 0.335 (0.243)	Data 0.285 (0.180)	Loss 4.9539 (5.0114)	Prec@1 4.688 (4.652)	Prec@5 17.188 (15.907)
Epoch: [9][2060/7045]	Time 0.421 (0.243)	Data 0.370 (0.180)	Loss 5.1157 (5.0113)	Prec@1 3.906 (4.655)	Prec@5 15.625 (15.910)
Epoch: [9][2070/7045]	Time 0.107 (0.243)	Data 0.043 (0.180)	Loss 4.9048 (5.0112)	Prec@1 3.906 (4.652)	Prec@5 19.531 (15.909)
Epoch: [9][2080/7045]	Time 0.388 (0.243)	Data 0.337 (0.180)	Loss 5.0628 (5.0113)	Prec@1 4.688 (4.653)	Prec@5 15.234 (15.908)
Epoch: [9][2090/7045]	Time 0.127 (0.243)	Data 0.076 (0.180)	Loss 5.1218 (5.0114)	Prec@1 3.906 (4.652)	Prec@5 14.844 (15.903)
Epoch: [9][2100/7045]	Time 0.216 (0.243)	Data 0.165 (0.180)	Loss 5.1319 (5.0118)	Prec@1 3.906 (4.649)	Prec@5 14.062 (15.901)
Epoch: [9][2110/7045]	Time 0.104 (0.243)	Data 0.052 (0.180)	Loss 4.9409 (5.0118)	Prec@1 5.859 (4.647)	Prec@5 19.922 (15.900)
Epoch: [9][2120/7045]	Time 0.102 (0.243)	Data 0.001 (0.180)	Loss 4.9575 (5.0118)	Prec@1 3.125 (4.646)	Prec@5 11.719 (15.892)
Epoch: [9][2130/7045]	Time 0.104 (0.243)	Data 0.052 (0.180)	Loss 5.0710 (5.0117)	Prec@1 3.516 (4.646)	Prec@5 13.672 (15.899)
Epoch: [9][2140/7045]	Time 0.196 (0.243)	Data 0.138 (0.180)	Loss 5.0132 (5.0119)	Prec@1 5.078 (4.647)	Prec@5 17.969 (15.897)
Epoch: [9][2150/7045]	Time 0.111 (0.243)	Data 0.060 (0.180)	Loss 5.0396 (5.0118)	Prec@1 3.516 (4.645)	Prec@5 14.062 (15.900)
Epoch: [9][2160/7045]	Time 0.213 (0.243)	Data 0.161 (0.180)	Loss 5.0331 (5.0118)	Prec@1 3.906 (4.646)	Prec@5 15.234 (15.900)
Epoch: [9][2170/7045]	Time 0.104 (0.243)	Data 0.052 (0.180)	Loss 4.9505 (5.0117)	Prec@1 5.078 (4.647)	Prec@5 17.578 (15.906)
Epoch: [9][2180/7045]	Time 0.110 (0.243)	Data 0.058 (0.180)	Loss 5.0080 (5.0117)	Prec@1 4.297 (4.646)	Prec@5 19.531 (15.905)
Epoch: [9][2190/7045]	Time 0.101 (0.243)	Data 0.006 (0.180)	Loss 4.8967 (5.0114)	Prec@1 5.469 (4.649)	Prec@5 16.797 (15.913)
Epoch: [9][2200/7045]	Time 0.101 (0.243)	Data 0.049 (0.180)	Loss 5.1594 (5.0115)	Prec@1 4.297 (4.648)	Prec@5 12.891 (15.908)
Epoch: [9][2210/7045]	Time 0.102 (0.242)	Data 0.001 (0.180)	Loss 5.0058 (5.0115)	Prec@1 4.297 (4.648)	Prec@5 12.109 (15.905)
Epoch: [9][2220/7045]	Time 0.101 (0.243)	Data 0.001 (0.180)	Loss 4.8270 (5.0111)	Prec@1 3.906 (4.647)	Prec@5 18.359 (15.908)
Epoch: [9][2230/7045]	Time 0.109 (0.242)	Data 0.057 (0.180)	Loss 5.0774 (5.0109)	Prec@1 3.516 (4.648)	Prec@5 14.453 (15.908)
Epoch: [9][2240/7045]	Time 0.101 (0.243)	Data 0.005 (0.180)	Loss 5.0559 (5.0112)	Prec@1 3.125 (4.645)	Prec@5 12.891 (15.903)
Epoch: [9][2250/7045]	Time 0.101 (0.242)	Data 0.046 (0.179)	Loss 5.2748 (5.0115)	Prec@1 2.734 (4.640)	Prec@5 13.281 (15.896)
Epoch: [9][2260/7045]	Time 0.107 (0.243)	Data 0.001 (0.180)	Loss 5.1450 (5.0123)	Prec@1 3.125 (4.634)	Prec@5 13.672 (15.879)
Epoch: [9][2270/7045]	Time 0.225 (0.242)	Data 0.173 (0.179)	Loss 5.1355 (5.0130)	Prec@1 4.688 (4.629)	Prec@5 15.234 (15.868)
Epoch: [9][2280/7045]	Time 0.101 (0.242)	Data 0.006 (0.179)	Loss 4.9736 (5.0133)	Prec@1 4.688 (4.625)	Prec@5 14.062 (15.864)
Epoch: [9][2290/7045]	Time 0.426 (0.243)	Data 0.375 (0.180)	Loss 4.8966 (5.0133)	Prec@1 3.125 (4.624)	Prec@5 18.359 (15.866)
Epoch: [9][2300/7045]	Time 0.102 (0.242)	Data 0.001 (0.179)	Loss 4.9953 (5.0131)	Prec@1 3.516 (4.626)	Prec@5 16.797 (15.870)
Epoch: [9][2310/7045]	Time 0.576 (0.243)	Data 0.525 (0.180)	Loss 4.9190 (5.0129)	Prec@1 5.078 (4.629)	Prec@5 20.312 (15.874)
Epoch: [9][2320/7045]	Time 0.110 (0.242)	Data 0.001 (0.179)	Loss 4.8022 (5.0125)	Prec@1 6.641 (4.632)	Prec@5 22.266 (15.883)
Epoch: [9][2330/7045]	Time 0.695 (0.243)	Data 0.638 (0.179)	Loss 5.0134 (5.0125)	Prec@1 4.688 (4.631)	Prec@5 18.750 (15.885)
Epoch: [9][2340/7045]	Time 0.128 (0.242)	Data 0.070 (0.179)	Loss 4.9599 (5.0123)	Prec@1 6.250 (4.631)	Prec@5 18.359 (15.890)
Epoch: [9][2350/7045]	Time 0.571 (0.243)	Data 0.520 (0.179)	Loss 5.0784 (5.0123)	Prec@1 3.906 (4.632)	Prec@5 16.797 (15.894)
Epoch: [9][2360/7045]	Time 0.139 (0.242)	Data 0.088 (0.179)	Loss 5.0488 (5.0129)	Prec@1 3.516 (4.630)	Prec@5 12.500 (15.882)
Epoch: [9][2370/7045]	Time 0.595 (0.242)	Data 0.544 (0.179)	Loss 5.1235 (5.0134)	Prec@1 3.516 (4.626)	Prec@5 14.844 (15.870)
Epoch: [9][2380/7045]	Time 0.143 (0.242)	Data 0.091 (0.179)	Loss 5.1637 (5.0137)	Prec@1 2.344 (4.622)	Prec@5 12.109 (15.863)
Epoch: [9][2390/7045]	Time 0.580 (0.242)	Data 0.528 (0.179)	Loss 5.1613 (5.0139)	Prec@1 3.906 (4.621)	Prec@5 13.281 (15.856)
Epoch: [9][2400/7045]	Time 0.116 (0.242)	Data 0.066 (0.179)	Loss 4.8535 (5.0138)	Prec@1 6.641 (4.622)	Prec@5 18.750 (15.859)
Epoch: [9][2410/7045]	Time 0.644 (0.242)	Data 0.593 (0.179)	Loss 5.0348 (5.0141)	Prec@1 5.859 (4.619)	Prec@5 18.359 (15.854)
Epoch: [9][2420/7045]	Time 0.102 (0.242)	Data 0.049 (0.179)	Loss 5.0249 (5.0143)	Prec@1 7.031 (4.618)	Prec@5 15.234 (15.850)
Epoch: [9][2430/7045]	Time 0.653 (0.242)	Data 0.601 (0.179)	Loss 4.8895 (5.0141)	Prec@1 7.812 (4.619)	Prec@5 16.797 (15.854)
Epoch: [9][2440/7045]	Time 0.102 (0.242)	Data 0.047 (0.179)	Loss 5.0312 (5.0142)	Prec@1 4.688 (4.618)	Prec@5 14.062 (15.851)
Epoch: [9][2450/7045]	Time 0.611 (0.242)	Data 0.560 (0.179)	Loss 5.2156 (5.0144)	Prec@1 4.297 (4.615)	Prec@5 12.891 (15.846)
Epoch: [9][2460/7045]	Time 0.116 (0.242)	Data 0.065 (0.178)	Loss 5.0542 (5.0149)	Prec@1 4.688 (4.613)	Prec@5 14.453 (15.836)
Epoch: [9][2470/7045]	Time 0.630 (0.242)	Data 0.580 (0.179)	Loss 4.9973 (5.0150)	Prec@1 7.031 (4.613)	Prec@5 19.531 (15.831)
Epoch: [9][2480/7045]	Time 0.101 (0.242)	Data 0.048 (0.178)	Loss 4.8570 (5.0150)	Prec@1 8.203 (4.614)	Prec@5 18.359 (15.836)
Epoch: [9][2490/7045]	Time 0.656 (0.242)	Data 0.597 (0.178)	Loss 4.8908 (5.0150)	Prec@1 5.078 (4.611)	Prec@5 18.359 (15.837)
Epoch: [9][2500/7045]	Time 0.162 (0.242)	Data 0.110 (0.178)	Loss 5.0640 (5.0149)	Prec@1 3.906 (4.613)	Prec@5 13.672 (15.836)
Epoch: [9][2510/7045]	Time 0.603 (0.242)	Data 0.550 (0.178)	Loss 5.0889 (5.0149)	Prec@1 1.953 (4.613)	Prec@5 12.891 (15.839)
Epoch: [9][2520/7045]	Time 0.095 (0.242)	Data 0.001 (0.178)	Loss 4.9196 (5.0150)	Prec@1 6.641 (4.610)	Prec@5 20.703 (15.835)
Epoch: [9][2530/7045]	Time 0.634 (0.242)	Data 0.583 (0.178)	Loss 5.0009 (5.0148)	Prec@1 5.078 (4.611)	Prec@5 16.016 (15.836)
Epoch: [9][2540/7045]	Time 0.102 (0.242)	Data 0.001 (0.178)	Loss 5.0530 (5.0151)	Prec@1 6.250 (4.608)	Prec@5 14.062 (15.829)
Epoch: [9][2550/7045]	Time 0.657 (0.242)	Data 0.601 (0.178)	Loss 5.0413 (5.0155)	Prec@1 3.516 (4.607)	Prec@5 11.328 (15.820)
Epoch: [9][2560/7045]	Time 0.101 (0.242)	Data 0.001 (0.178)	Loss 5.0897 (5.0156)	Prec@1 3.906 (4.607)	Prec@5 16.016 (15.819)
Epoch: [9][2570/7045]	Time 0.656 (0.242)	Data 0.600 (0.178)	Loss 5.0533 (5.0156)	Prec@1 4.688 (4.606)	Prec@5 12.891 (15.816)
Epoch: [9][2580/7045]	Time 0.101 (0.242)	Data 0.002 (0.178)	Loss 5.0088 (5.0155)	Prec@1 7.031 (4.609)	Prec@5 22.656 (15.823)
Epoch: [9][2590/7045]	Time 0.656 (0.242)	Data 0.605 (0.178)	Loss 5.0018 (5.0157)	Prec@1 4.688 (4.608)	Prec@5 15.625 (15.819)
Epoch: [9][2600/7045]	Time 0.112 (0.242)	Data 0.061 (0.178)	Loss 4.8571 (5.0159)	Prec@1 5.859 (4.609)	Prec@5 16.406 (15.818)
Epoch: [9][2610/7045]	Time 0.637 (0.242)	Data 0.585 (0.178)	Loss 4.9618 (5.0158)	Prec@1 5.469 (4.609)	Prec@5 17.578 (15.817)
Epoch: [9][2620/7045]	Time 0.110 (0.242)	Data 0.059 (0.178)	Loss 5.1200 (5.0158)	Prec@1 3.125 (4.610)	Prec@5 13.672 (15.819)
Epoch: [9][2630/7045]	Time 0.414 (0.242)	Data 0.362 (0.178)	Loss 4.9963 (5.0157)	Prec@1 5.859 (4.609)	Prec@5 15.625 (15.818)
Epoch: [9][2640/7045]	Time 0.103 (0.242)	Data 0.045 (0.178)	Loss 5.1116 (5.0158)	Prec@1 1.953 (4.609)	Prec@5 11.328 (15.819)
Epoch: [9][2650/7045]	Time 0.424 (0.242)	Data 0.370 (0.178)	Loss 4.9596 (5.0156)	Prec@1 3.906 (4.609)	Prec@5 17.188 (15.823)
Epoch: [9][2660/7045]	Time 0.103 (0.242)	Data 0.051 (0.177)	Loss 5.1066 (5.0157)	Prec@1 3.906 (4.607)	Prec@5 12.500 (15.819)
Epoch: [9][2670/7045]	Time 0.389 (0.242)	Data 0.338 (0.178)	Loss 4.9955 (5.0155)	Prec@1 6.250 (4.606)	Prec@5 18.359 (15.822)
Epoch: [9][2680/7045]	Time 0.102 (0.242)	Data 0.050 (0.177)	Loss 4.9999 (5.0155)	Prec@1 7.422 (4.607)	Prec@5 17.188 (15.825)
Epoch: [9][2690/7045]	Time 0.369 (0.242)	Data 0.318 (0.178)	Loss 5.0858 (5.0157)	Prec@1 4.297 (4.605)	Prec@5 16.406 (15.821)
Epoch: [9][2700/7045]	Time 0.162 (0.242)	Data 0.112 (0.177)	Loss 5.0633 (5.0159)	Prec@1 4.688 (4.605)	Prec@5 12.891 (15.815)
Epoch: [9][2710/7045]	Time 0.388 (0.242)	Data 0.338 (0.178)	Loss 4.9847 (5.0161)	Prec@1 3.906 (4.602)	Prec@5 17.969 (15.808)
Epoch: [9][2720/7045]	Time 0.187 (0.242)	Data 0.135 (0.177)	Loss 5.0373 (5.0162)	Prec@1 3.906 (4.601)	Prec@5 17.578 (15.804)
Epoch: [9][2730/7045]	Time 0.354 (0.242)	Data 0.299 (0.178)	Loss 5.1463 (5.0162)	Prec@1 1.953 (4.600)	Prec@5 12.500 (15.804)
Epoch: [9][2740/7045]	Time 0.174 (0.242)	Data 0.124 (0.178)	Loss 4.9509 (5.0163)	Prec@1 5.859 (4.601)	Prec@5 17.188 (15.804)
Epoch: [9][2750/7045]	Time 0.320 (0.242)	Data 0.264 (0.178)	Loss 4.9547 (5.0163)	Prec@1 5.859 (4.604)	Prec@5 14.844 (15.806)
Epoch: [9][2760/7045]	Time 0.189 (0.242)	Data 0.138 (0.178)	Loss 4.9706 (5.0163)	Prec@1 5.469 (4.605)	Prec@5 16.406 (15.803)
Epoch: [9][2770/7045]	Time 0.354 (0.242)	Data 0.298 (0.178)	Loss 5.0515 (5.0162)	Prec@1 4.688 (4.605)	Prec@5 16.406 (15.806)
Epoch: [9][2780/7045]	Time 0.192 (0.242)	Data 0.142 (0.178)	Loss 4.9463 (5.0164)	Prec@1 4.297 (4.604)	Prec@5 15.625 (15.800)
Epoch: [9][2790/7045]	Time 0.304 (0.242)	Data 0.254 (0.178)	Loss 4.9470 (5.0165)	Prec@1 5.469 (4.604)	Prec@5 19.922 (15.798)
Epoch: [9][2800/7045]	Time 0.157 (0.242)	Data 0.105 (0.178)	Loss 5.0094 (5.0163)	Prec@1 5.859 (4.603)	Prec@5 14.062 (15.797)
Epoch: [9][2810/7045]	Time 0.380 (0.242)	Data 0.323 (0.178)	Loss 4.9538 (5.0162)	Prec@1 3.125 (4.603)	Prec@5 16.016 (15.798)
Epoch: [9][2820/7045]	Time 0.155 (0.242)	Data 0.104 (0.178)	Loss 4.9131 (5.0161)	Prec@1 6.250 (4.603)	Prec@5 20.312 (15.801)
Epoch: [9][2830/7045]	Time 0.352 (0.242)	Data 0.301 (0.178)	Loss 4.7930 (5.0159)	Prec@1 5.469 (4.606)	Prec@5 21.094 (15.806)
Epoch: [9][2840/7045]	Time 0.234 (0.242)	Data 0.184 (0.178)	Loss 5.0883 (5.0160)	Prec@1 3.516 (4.606)	Prec@5 16.016 (15.806)
Epoch: [9][2850/7045]	Time 0.401 (0.242)	Data 0.351 (0.178)	Loss 4.8834 (5.0158)	Prec@1 6.641 (4.606)	Prec@5 21.094 (15.809)
Epoch: [9][2860/7045]	Time 0.128 (0.242)	Data 0.077 (0.178)	Loss 4.8059 (5.0156)	Prec@1 5.469 (4.605)	Prec@5 20.703 (15.813)
Epoch: [9][2870/7045]	Time 0.382 (0.242)	Data 0.330 (0.178)	Loss 5.1658 (5.0156)	Prec@1 3.516 (4.605)	Prec@5 11.719 (15.813)
Epoch: [9][2880/7045]	Time 0.107 (0.242)	Data 0.056 (0.178)	Loss 4.9579 (5.0156)	Prec@1 5.469 (4.608)	Prec@5 19.141 (15.815)
Epoch: [9][2890/7045]	Time 0.310 (0.242)	Data 0.258 (0.178)	Loss 4.8721 (5.0154)	Prec@1 3.906 (4.609)	Prec@5 16.406 (15.818)
Epoch: [9][2900/7045]	Time 0.108 (0.242)	Data 0.001 (0.178)	Loss 5.0853 (5.0155)	Prec@1 4.297 (4.609)	Prec@5 12.500 (15.813)
Epoch: [9][2910/7045]	Time 0.389 (0.242)	Data 0.338 (0.178)	Loss 4.8514 (5.0155)	Prec@1 6.641 (4.609)	Prec@5 17.969 (15.817)
Epoch: [9][2920/7045]	Time 0.102 (0.242)	Data 0.007 (0.178)	Loss 4.9140 (5.0152)	Prec@1 3.906 (4.610)	Prec@5 17.969 (15.822)
Epoch: [9][2930/7045]	Time 0.381 (0.242)	Data 0.330 (0.178)	Loss 4.8310 (5.0150)	Prec@1 6.250 (4.611)	Prec@5 18.750 (15.825)
Epoch: [9][2940/7045]	Time 0.102 (0.242)	Data 0.001 (0.178)	Loss 4.9247 (5.0151)	Prec@1 5.469 (4.611)	Prec@5 16.797 (15.826)
Epoch: [9][2950/7045]	Time 0.323 (0.242)	Data 0.271 (0.178)	Loss 4.9640 (5.0151)	Prec@1 5.469 (4.614)	Prec@5 16.016 (15.828)
Epoch: [9][2960/7045]	Time 0.101 (0.242)	Data 0.006 (0.178)	Loss 5.0625 (5.0150)	Prec@1 3.906 (4.616)	Prec@5 16.016 (15.830)
Epoch: [9][2970/7045]	Time 0.368 (0.242)	Data 0.317 (0.178)	Loss 5.0462 (5.0152)	Prec@1 4.688 (4.615)	Prec@5 15.234 (15.826)
Epoch: [9][2980/7045]	Time 0.101 (0.242)	Data 0.001 (0.178)	Loss 5.1924 (5.0151)	Prec@1 1.953 (4.612)	Prec@5 13.672 (15.827)
Epoch: [9][2990/7045]	Time 0.314 (0.242)	Data 0.264 (0.178)	Loss 4.9211 (5.0149)	Prec@1 5.078 (4.612)	Prec@5 19.141 (15.829)
Epoch: [9][3000/7045]	Time 0.102 (0.242)	Data 0.001 (0.178)	Loss 5.0789 (5.0147)	Prec@1 4.688 (4.613)	Prec@5 15.234 (15.833)
Epoch: [9][3010/7045]	Time 0.324 (0.242)	Data 0.272 (0.178)	Loss 4.9637 (5.0145)	Prec@1 4.297 (4.615)	Prec@5 14.062 (15.838)
Epoch: [9][3020/7045]	Time 0.103 (0.242)	Data 0.004 (0.178)	Loss 4.9777 (5.0143)	Prec@1 4.297 (4.617)	Prec@5 16.406 (15.843)
Epoch: [9][3030/7045]	Time 0.428 (0.242)	Data 0.376 (0.178)	Loss 5.1446 (5.0144)	Prec@1 3.906 (4.616)	Prec@5 16.016 (15.842)
Epoch: [9][3040/7045]	Time 0.101 (0.242)	Data 0.001 (0.178)	Loss 4.9699 (5.0144)	Prec@1 4.688 (4.616)	Prec@5 17.969 (15.842)
Epoch: [9][3050/7045]	Time 0.393 (0.242)	Data 0.343 (0.178)	Loss 5.0233 (5.0142)	Prec@1 3.906 (4.620)	Prec@5 14.062 (15.846)
Epoch: [9][3060/7045]	Time 0.109 (0.241)	Data 0.055 (0.178)	Loss 5.0057 (5.0140)	Prec@1 5.078 (4.621)	Prec@5 17.188 (15.852)
Epoch: [9][3070/7045]	Time 0.367 (0.242)	Data 0.317 (0.178)	Loss 4.9537 (5.0140)	Prec@1 4.688 (4.620)	Prec@5 17.969 (15.851)
Epoch: [9][3080/7045]	Time 0.112 (0.241)	Data 0.060 (0.178)	Loss 4.9704 (5.0140)	Prec@1 4.688 (4.619)	Prec@5 17.188 (15.852)
Epoch: [9][3090/7045]	Time 0.391 (0.241)	Data 0.340 (0.178)	Loss 4.9715 (5.0141)	Prec@1 4.688 (4.617)	Prec@5 13.672 (15.849)
Epoch: [9][3100/7045]	Time 0.161 (0.241)	Data 0.110 (0.178)	Loss 4.9366 (5.0140)	Prec@1 5.078 (4.620)	Prec@5 18.750 (15.852)
Epoch: [9][3110/7045]	Time 0.397 (0.241)	Data 0.347 (0.178)	Loss 5.0209 (5.0139)	Prec@1 4.297 (4.620)	Prec@5 19.141 (15.857)
Epoch: [9][3120/7045]	Time 0.213 (0.241)	Data 0.157 (0.178)	Loss 5.0160 (5.0139)	Prec@1 3.125 (4.621)	Prec@5 14.453 (15.859)
Epoch: [9][3130/7045]	Time 0.411 (0.241)	Data 0.360 (0.178)	Loss 5.0614 (5.0140)	Prec@1 5.078 (4.620)	Prec@5 15.234 (15.856)
Epoch: [9][3140/7045]	Time 0.193 (0.241)	Data 0.142 (0.178)	Loss 5.0906 (5.0139)	Prec@1 3.125 (4.618)	Prec@5 10.547 (15.856)
Epoch: [9][3150/7045]	Time 0.378 (0.241)	Data 0.326 (0.178)	Loss 5.0937 (5.0140)	Prec@1 4.688 (4.618)	Prec@5 15.234 (15.856)
Epoch: [9][3160/7045]	Time 0.220 (0.241)	Data 0.167 (0.178)	Loss 5.0112 (5.0139)	Prec@1 5.078 (4.618)	Prec@5 14.453 (15.855)
Epoch: [9][3170/7045]	Time 0.289 (0.241)	Data 0.238 (0.178)	Loss 5.0674 (5.0139)	Prec@1 3.516 (4.619)	Prec@5 14.453 (15.856)
Epoch: [9][3180/7045]	Time 0.260 (0.241)	Data 0.204 (0.178)	Loss 5.0274 (5.0141)	Prec@1 4.297 (4.617)	Prec@5 15.625 (15.849)
Epoch: [9][3190/7045]	Time 0.236 (0.241)	Data 0.185 (0.178)	Loss 4.9970 (5.0141)	Prec@1 5.078 (4.616)	Prec@5 19.922 (15.847)
Epoch: [9][3200/7045]	Time 0.243 (0.241)	Data 0.192 (0.178)	Loss 4.9552 (5.0139)	Prec@1 5.469 (4.617)	Prec@5 17.969 (15.851)
Epoch: [9][3210/7045]	Time 0.114 (0.241)	Data 0.063 (0.178)	Loss 5.0428 (5.0138)	Prec@1 6.641 (4.617)	Prec@5 16.406 (15.854)
Epoch: [9][3220/7045]	Time 0.186 (0.241)	Data 0.132 (0.178)	Loss 5.0109 (5.0138)	Prec@1 7.031 (4.617)	Prec@5 17.578 (15.855)
Epoch: [9][3230/7045]	Time 0.101 (0.241)	Data 0.005 (0.178)	Loss 4.9536 (5.0137)	Prec@1 5.078 (4.616)	Prec@5 16.406 (15.855)
Epoch: [9][3240/7045]	Time 0.247 (0.241)	Data 0.196 (0.178)	Loss 5.0242 (5.0139)	Prec@1 5.859 (4.614)	Prec@5 17.188 (15.854)
Epoch: [9][3250/7045]	Time 0.101 (0.241)	Data 0.044 (0.178)	Loss 4.9414 (5.0138)	Prec@1 3.125 (4.615)	Prec@5 13.672 (15.856)
Epoch: [9][3260/7045]	Time 0.254 (0.241)	Data 0.204 (0.178)	Loss 5.2473 (5.0138)	Prec@1 5.078 (4.615)	Prec@5 14.844 (15.858)
Epoch: [9][3270/7045]	Time 0.102 (0.241)	Data 0.004 (0.178)	Loss 5.0177 (5.0138)	Prec@1 5.078 (4.615)	Prec@5 17.188 (15.857)
Epoch: [9][3280/7045]	Time 0.227 (0.241)	Data 0.176 (0.178)	Loss 4.9548 (5.0138)	Prec@1 3.516 (4.615)	Prec@5 14.062 (15.858)
Epoch: [9][3290/7045]	Time 0.102 (0.241)	Data 0.002 (0.178)	Loss 4.9486 (5.0138)	Prec@1 4.297 (4.615)	Prec@5 19.141 (15.859)
Epoch: [9][3300/7045]	Time 0.176 (0.241)	Data 0.125 (0.178)	Loss 5.0208 (5.0138)	Prec@1 4.297 (4.616)	Prec@5 16.406 (15.864)
Epoch: [9][3310/7045]	Time 0.102 (0.241)	Data 0.004 (0.178)	Loss 5.0890 (5.0138)	Prec@1 3.516 (4.617)	Prec@5 14.453 (15.866)
Epoch: [9][3320/7045]	Time 0.197 (0.241)	Data 0.145 (0.178)	Loss 4.9952 (5.0140)	Prec@1 4.297 (4.618)	Prec@5 17.578 (15.867)
Epoch: [9][3330/7045]	Time 0.102 (0.241)	Data 0.047 (0.178)	Loss 4.9701 (5.0140)	Prec@1 2.734 (4.617)	Prec@5 12.109 (15.865)
Epoch: [9][3340/7045]	Time 0.283 (0.241)	Data 0.232 (0.178)	Loss 5.0982 (5.0141)	Prec@1 5.078 (4.616)	Prec@5 19.531 (15.868)
Epoch: [9][3350/7045]	Time 0.196 (0.241)	Data 0.146 (0.178)	Loss 5.0877 (5.0142)	Prec@1 4.688 (4.615)	Prec@5 17.188 (15.865)
Epoch: [9][3360/7045]	Time 0.276 (0.241)	Data 0.225 (0.178)	Loss 5.1621 (5.0144)	Prec@1 2.734 (4.614)	Prec@5 16.797 (15.859)
Epoch: [9][3370/7045]	Time 0.190 (0.241)	Data 0.139 (0.178)	Loss 4.9376 (5.0145)	Prec@1 4.688 (4.614)	Prec@5 15.234 (15.859)
Epoch: [9][3380/7045]	Time 0.291 (0.241)	Data 0.240 (0.178)	Loss 4.8161 (5.0146)	Prec@1 5.469 (4.614)	Prec@5 24.609 (15.859)
Epoch: [9][3390/7045]	Time 0.115 (0.241)	Data 0.064 (0.178)	Loss 5.0038 (5.0147)	Prec@1 4.688 (4.614)	Prec@5 16.406 (15.857)
Epoch: [9][3400/7045]	Time 0.284 (0.241)	Data 0.232 (0.178)	Loss 4.9350 (5.0147)	Prec@1 6.641 (4.615)	Prec@5 15.625 (15.857)
Epoch: [9][3410/7045]	Time 0.100 (0.241)	Data 0.049 (0.178)	Loss 5.0875 (5.0148)	Prec@1 4.688 (4.615)	Prec@5 14.062 (15.853)
Epoch: [9][3420/7045]	Time 0.251 (0.241)	Data 0.199 (0.178)	Loss 4.9577 (5.0150)	Prec@1 5.469 (4.614)	Prec@5 17.188 (15.850)
Epoch: [9][3430/7045]	Time 0.102 (0.241)	Data 0.005 (0.178)	Loss 5.0830 (5.0152)	Prec@1 3.906 (4.612)	Prec@5 13.281 (15.846)
Epoch: [9][3440/7045]	Time 0.286 (0.241)	Data 0.236 (0.178)	Loss 4.9557 (5.0152)	Prec@1 4.688 (4.613)	Prec@5 17.969 (15.849)
Epoch: [9][3450/7045]	Time 0.100 (0.241)	Data 0.003 (0.178)	Loss 4.9074 (5.0150)	Prec@1 6.250 (4.614)	Prec@5 17.969 (15.851)
Epoch: [9][3460/7045]	Time 0.280 (0.241)	Data 0.229 (0.178)	Loss 4.9005 (5.0147)	Prec@1 3.516 (4.615)	Prec@5 16.797 (15.858)
Epoch: [9][3470/7045]	Time 0.102 (0.241)	Data 0.004 (0.178)	Loss 5.1320 (5.0147)	Prec@1 1.172 (4.614)	Prec@5 16.016 (15.860)
Epoch: [9][3480/7045]	Time 0.326 (0.241)	Data 0.275 (0.178)	Loss 5.1646 (5.0147)	Prec@1 1.953 (4.614)	Prec@5 11.719 (15.860)
Epoch: [9][3490/7045]	Time 0.102 (0.241)	Data 0.001 (0.178)	Loss 5.1418 (5.0149)	Prec@1 3.906 (4.615)	Prec@5 12.500 (15.857)
Epoch: [9][3500/7045]	Time 0.578 (0.241)	Data 0.527 (0.178)	Loss 4.9157 (5.0149)	Prec@1 3.125 (4.613)	Prec@5 14.453 (15.854)
Epoch: [9][3510/7045]	Time 0.105 (0.241)	Data 0.053 (0.178)	Loss 4.9593 (5.0150)	Prec@1 3.906 (4.611)	Prec@5 19.531 (15.852)
Epoch: [9][3520/7045]	Time 0.476 (0.241)	Data 0.426 (0.178)	Loss 5.0487 (5.0151)	Prec@1 4.297 (4.611)	Prec@5 14.453 (15.852)
Epoch: [9][3530/7045]	Time 0.364 (0.241)	Data 0.306 (0.178)	Loss 5.0023 (5.0151)	Prec@1 4.688 (4.613)	Prec@5 13.672 (15.851)
Epoch: [9][3540/7045]	Time 0.243 (0.241)	Data 0.185 (0.178)	Loss 5.2397 (5.0151)	Prec@1 2.344 (4.615)	Prec@5 11.719 (15.855)
Epoch: [9][3550/7045]	Time 0.370 (0.241)	Data 0.321 (0.178)	Loss 5.0234 (5.0150)	Prec@1 6.250 (4.616)	Prec@5 19.141 (15.857)
Epoch: [9][3560/7045]	Time 0.191 (0.241)	Data 0.140 (0.178)	Loss 4.8513 (5.0150)	Prec@1 6.250 (4.617)	Prec@5 21.094 (15.860)
Epoch: [9][3570/7045]	Time 0.236 (0.241)	Data 0.186 (0.178)	Loss 5.0558 (5.0150)	Prec@1 3.906 (4.616)	Prec@5 14.844 (15.858)
Epoch: [9][3580/7045]	Time 0.198 (0.241)	Data 0.148 (0.178)	Loss 4.9911 (5.0150)	Prec@1 5.078 (4.616)	Prec@5 14.844 (15.860)
Epoch: [9][3590/7045]	Time 0.145 (0.241)	Data 0.094 (0.178)	Loss 5.0404 (5.0150)	Prec@1 3.516 (4.617)	Prec@5 15.234 (15.858)
Epoch: [9][3600/7045]	Time 0.243 (0.241)	Data 0.193 (0.178)	Loss 5.1380 (5.0152)	Prec@1 5.078 (4.617)	Prec@5 14.062 (15.853)
Epoch: [9][3610/7045]	Time 0.281 (0.241)	Data 0.229 (0.178)	Loss 5.0343 (5.0152)	Prec@1 5.078 (4.615)	Prec@5 20.312 (15.851)
Epoch: [9][3620/7045]	Time 0.102 (0.241)	Data 0.046 (0.178)	Loss 5.1408 (5.0152)	Prec@1 3.125 (4.614)	Prec@5 12.109 (15.849)
Epoch: [9][3630/7045]	Time 0.252 (0.241)	Data 0.202 (0.178)	Loss 5.0417 (5.0152)	Prec@1 5.078 (4.615)	Prec@5 18.359 (15.847)
Epoch: [9][3640/7045]	Time 0.320 (0.241)	Data 0.269 (0.178)	Loss 4.8265 (5.0151)	Prec@1 4.297 (4.614)	Prec@5 17.578 (15.849)
Epoch: [9][3650/7045]	Time 0.101 (0.241)	Data 0.044 (0.178)	Loss 4.9707 (5.0151)	Prec@1 5.078 (4.614)	Prec@5 18.750 (15.848)
Epoch: [9][3660/7045]	Time 0.247 (0.241)	Data 0.197 (0.178)	Loss 5.0929 (5.0150)	Prec@1 3.125 (4.615)	Prec@5 13.672 (15.849)
Epoch: [9][3670/7045]	Time 0.239 (0.241)	Data 0.179 (0.178)	Loss 5.0967 (5.0150)	Prec@1 3.906 (4.615)	Prec@5 15.234 (15.851)
Epoch: [9][3680/7045]	Time 0.195 (0.241)	Data 0.144 (0.178)	Loss 4.8899 (5.0152)	Prec@1 3.516 (4.614)	Prec@5 17.969 (15.848)
Epoch: [9][3690/7045]	Time 0.110 (0.241)	Data 0.060 (0.179)	Loss 4.9117 (5.0152)	Prec@1 7.422 (4.613)	Prec@5 20.312 (15.849)
Epoch: [9][3700/7045]	Time 0.319 (0.241)	Data 0.269 (0.179)	Loss 4.9440 (5.0151)	Prec@1 6.250 (4.616)	Prec@5 17.969 (15.854)
Epoch: [9][3710/7045]	Time 0.150 (0.241)	Data 0.099 (0.179)	Loss 5.0670 (5.0153)	Prec@1 3.125 (4.616)	Prec@5 12.500 (15.852)
Epoch: [9][3720/7045]	Time 0.565 (0.241)	Data 0.515 (0.179)	Loss 5.0629 (5.0154)	Prec@1 4.297 (4.615)	Prec@5 14.453 (15.850)
Epoch: [9][3730/7045]	Time 0.162 (0.241)	Data 0.111 (0.179)	Loss 4.8518 (5.0152)	Prec@1 6.250 (4.615)	Prec@5 18.750 (15.853)
Epoch: [9][3740/7045]	Time 0.362 (0.241)	Data 0.311 (0.179)	Loss 5.0341 (5.0152)	Prec@1 3.906 (4.616)	Prec@5 17.188 (15.857)
Epoch: [9][3750/7045]	Time 0.288 (0.241)	Data 0.236 (0.179)	Loss 4.9575 (5.0151)	Prec@1 5.859 (4.615)	Prec@5 19.922 (15.859)
Epoch: [9][3760/7045]	Time 0.117 (0.241)	Data 0.066 (0.179)	Loss 5.0590 (5.0152)	Prec@1 4.688 (4.615)	Prec@5 15.625 (15.858)
Epoch: [9][3770/7045]	Time 0.374 (0.241)	Data 0.322 (0.179)	Loss 4.9662 (5.0150)	Prec@1 3.516 (4.616)	Prec@5 16.406 (15.863)
Epoch: [9][3780/7045]	Time 0.204 (0.241)	Data 0.154 (0.179)	Loss 5.0572 (5.0149)	Prec@1 4.297 (4.615)	Prec@5 13.672 (15.862)
Epoch: [9][3790/7045]	Time 0.139 (0.241)	Data 0.080 (0.179)	Loss 5.0918 (5.0149)	Prec@1 4.688 (4.614)	Prec@5 16.016 (15.860)
Epoch: [9][3800/7045]	Time 0.171 (0.241)	Data 0.121 (0.179)	Loss 4.9717 (5.0150)	Prec@1 4.688 (4.614)	Prec@5 16.406 (15.862)
Epoch: [9][3810/7045]	Time 0.411 (0.242)	Data 0.360 (0.179)	Loss 5.0822 (5.0150)	Prec@1 5.469 (4.613)	Prec@5 17.188 (15.862)
Epoch: [9][3820/7045]	Time 0.102 (0.241)	Data 0.001 (0.179)	Loss 5.1248 (5.0152)	Prec@1 4.688 (4.611)	Prec@5 17.188 (15.860)
Epoch: [9][3830/7045]	Time 0.477 (0.242)	Data 0.426 (0.179)	Loss 4.9801 (5.0154)	Prec@1 3.516 (4.609)	Prec@5 15.234 (15.856)
Epoch: [9][3840/7045]	Time 0.230 (0.241)	Data 0.177 (0.179)	Loss 5.0631 (5.0154)	Prec@1 3.516 (4.608)	Prec@5 17.969 (15.856)
Epoch: [9][3850/7045]	Time 0.150 (0.241)	Data 0.098 (0.179)	Loss 5.0371 (5.0155)	Prec@1 4.297 (4.606)	Prec@5 14.844 (15.855)
Epoch: [9][3860/7045]	Time 0.100 (0.241)	Data 0.001 (0.179)	Loss 5.3110 (5.0158)	Prec@1 3.125 (4.604)	Prec@5 14.453 (15.853)
Epoch: [9][3870/7045]	Time 0.326 (0.242)	Data 0.274 (0.179)	Loss 4.8137 (5.0157)	Prec@1 6.250 (4.605)	Prec@5 19.922 (15.854)
Epoch: [9][3880/7045]	Time 0.101 (0.242)	Data 0.001 (0.179)	Loss 5.1371 (5.0157)	Prec@1 2.734 (4.605)	Prec@5 12.109 (15.855)
Epoch: [9][3890/7045]	Time 0.435 (0.242)	Data 0.383 (0.179)	Loss 5.1552 (5.0156)	Prec@1 4.297 (4.605)	Prec@5 12.500 (15.857)
Epoch: [9][3900/7045]	Time 0.185 (0.242)	Data 0.135 (0.179)	Loss 5.0550 (5.0156)	Prec@1 5.469 (4.605)	Prec@5 14.453 (15.855)
Epoch: [9][3910/7045]	Time 0.100 (0.242)	Data 0.006 (0.179)	Loss 4.9857 (5.0157)	Prec@1 3.906 (4.603)	Prec@5 17.578 (15.854)
Epoch: [9][3920/7045]	Time 0.103 (0.242)	Data 0.048 (0.179)	Loss 5.0603 (5.0158)	Prec@1 4.688 (4.604)	Prec@5 16.406 (15.855)
Epoch: [9][3930/7045]	Time 0.441 (0.242)	Data 0.391 (0.179)	Loss 5.0177 (5.0158)	Prec@1 4.297 (4.604)	Prec@5 13.672 (15.853)
Epoch: [9][3940/7045]	Time 0.099 (0.242)	Data 0.047 (0.179)	Loss 5.0724 (5.0161)	Prec@1 4.688 (4.602)	Prec@5 14.844 (15.850)
Epoch: [9][3950/7045]	Time 0.422 (0.242)	Data 0.372 (0.179)	Loss 4.9625 (5.0161)	Prec@1 2.734 (4.602)	Prec@5 17.578 (15.850)
Epoch: [9][3960/7045]	Time 0.103 (0.242)	Data 0.001 (0.179)	Loss 4.8876 (5.0160)	Prec@1 9.766 (4.605)	Prec@5 20.312 (15.853)
Epoch: [9][3970/7045]	Time 0.414 (0.242)	Data 0.362 (0.179)	Loss 5.0602 (5.0158)	Prec@1 5.078 (4.607)	Prec@5 17.969 (15.857)
Epoch: [9][3980/7045]	Time 0.108 (0.242)	Data 0.001 (0.179)	Loss 4.9741 (5.0156)	Prec@1 5.859 (4.608)	Prec@5 16.406 (15.861)
Epoch: [9][3990/7045]	Time 0.423 (0.242)	Data 0.372 (0.179)	Loss 5.0565 (5.0155)	Prec@1 5.469 (4.610)	Prec@5 16.406 (15.863)
Epoch: [9][4000/7045]	Time 0.099 (0.242)	Data 0.002 (0.179)	Loss 4.9974 (5.0153)	Prec@1 3.906 (4.612)	Prec@5 19.141 (15.866)
Epoch: [9][4010/7045]	Time 0.218 (0.242)	Data 0.167 (0.179)	Loss 5.0796 (5.0152)	Prec@1 3.906 (4.613)	Prec@5 14.844 (15.867)
Epoch: [9][4020/7045]	Time 0.101 (0.242)	Data 0.001 (0.179)	Loss 5.0629 (5.0152)	Prec@1 5.078 (4.613)	Prec@5 16.406 (15.866)
Epoch: [9][4030/7045]	Time 0.337 (0.242)	Data 0.286 (0.179)	Loss 4.9307 (5.0152)	Prec@1 5.078 (4.613)	Prec@5 17.578 (15.865)
Epoch: [9][4040/7045]	Time 0.101 (0.242)	Data 0.001 (0.179)	Loss 5.1949 (5.0154)	Prec@1 2.344 (4.612)	Prec@5 11.719 (15.861)
Epoch: [9][4050/7045]	Time 0.421 (0.242)	Data 0.365 (0.179)	Loss 4.9701 (5.0154)	Prec@1 6.250 (4.612)	Prec@5 17.188 (15.862)
Epoch: [9][4060/7045]	Time 0.101 (0.242)	Data 0.005 (0.179)	Loss 5.0211 (5.0156)	Prec@1 6.641 (4.612)	Prec@5 17.578 (15.860)
Epoch: [9][4070/7045]	Time 0.459 (0.242)	Data 0.407 (0.179)	Loss 5.0233 (5.0154)	Prec@1 4.688 (4.613)	Prec@5 16.797 (15.863)
Epoch: [9][4080/7045]	Time 0.102 (0.242)	Data 0.001 (0.179)	Loss 4.8411 (5.0153)	Prec@1 7.031 (4.614)	Prec@5 18.750 (15.865)
Epoch: [9][4090/7045]	Time 0.525 (0.242)	Data 0.470 (0.179)	Loss 4.9635 (5.0151)	Prec@1 4.297 (4.616)	Prec@5 16.406 (15.870)
Epoch: [9][4100/7045]	Time 0.102 (0.242)	Data 0.001 (0.179)	Loss 4.9377 (5.0150)	Prec@1 7.031 (4.619)	Prec@5 17.969 (15.874)
Epoch: [9][4110/7045]	Time 0.572 (0.242)	Data 0.521 (0.179)	Loss 5.0991 (5.0150)	Prec@1 4.688 (4.619)	Prec@5 12.891 (15.871)
Epoch: [9][4120/7045]	Time 0.126 (0.242)	Data 0.075 (0.179)	Loss 5.0262 (5.0149)	Prec@1 3.516 (4.620)	Prec@5 14.844 (15.873)
Epoch: [9][4130/7045]	Time 0.553 (0.242)	Data 0.502 (0.179)	Loss 5.0673 (5.0149)	Prec@1 4.688 (4.620)	Prec@5 13.672 (15.872)
Epoch: [9][4140/7045]	Time 0.182 (0.242)	Data 0.131 (0.179)	Loss 4.9255 (5.0149)	Prec@1 7.812 (4.621)	Prec@5 20.312 (15.873)
Epoch: [9][4150/7045]	Time 0.452 (0.242)	Data 0.400 (0.179)	Loss 4.8818 (5.0147)	Prec@1 5.859 (4.623)	Prec@5 17.578 (15.877)
Epoch: [9][4160/7045]	Time 0.186 (0.242)	Data 0.136 (0.179)	Loss 5.1544 (5.0149)	Prec@1 3.125 (4.622)	Prec@5 16.406 (15.875)
Epoch: [9][4170/7045]	Time 0.563 (0.242)	Data 0.512 (0.179)	Loss 4.9954 (5.0149)	Prec@1 6.641 (4.623)	Prec@5 18.359 (15.875)
Epoch: [9][4180/7045]	Time 0.137 (0.242)	Data 0.080 (0.179)	Loss 5.1435 (5.0151)	Prec@1 2.344 (4.620)	Prec@5 14.062 (15.871)
Epoch: [9][4190/7045]	Time 0.598 (0.242)	Data 0.547 (0.179)	Loss 5.2192 (5.0152)	Prec@1 2.734 (4.620)	Prec@5 14.062 (15.870)
Epoch: [9][4200/7045]	Time 0.108 (0.242)	Data 0.004 (0.179)	Loss 4.9042 (5.0152)	Prec@1 6.250 (4.620)	Prec@5 17.188 (15.870)
Epoch: [9][4210/7045]	Time 0.554 (0.242)	Data 0.502 (0.179)	Loss 5.2181 (5.0154)	Prec@1 2.344 (4.619)	Prec@5 9.766 (15.869)
Epoch: [9][4220/7045]	Time 0.101 (0.242)	Data 0.001 (0.179)	Loss 4.9545 (5.0155)	Prec@1 4.688 (4.619)	Prec@5 20.703 (15.871)
Epoch: [9][4230/7045]	Time 0.600 (0.242)	Data 0.549 (0.179)	Loss 4.9468 (5.0154)	Prec@1 4.688 (4.619)	Prec@5 17.969 (15.872)
Epoch: [9][4240/7045]	Time 0.108 (0.242)	Data 0.004 (0.179)	Loss 5.0760 (5.0155)	Prec@1 4.297 (4.619)	Prec@5 16.406 (15.872)
Epoch: [9][4250/7045]	Time 0.586 (0.242)	Data 0.534 (0.179)	Loss 4.8665 (5.0154)	Prec@1 4.688 (4.618)	Prec@5 17.578 (15.872)
Epoch: [9][4260/7045]	Time 0.108 (0.241)	Data 0.056 (0.179)	Loss 5.1369 (5.0154)	Prec@1 1.953 (4.617)	Prec@5 11.719 (15.873)
Epoch: [9][4270/7045]	Time 0.590 (0.242)	Data 0.533 (0.179)	Loss 5.0230 (5.0156)	Prec@1 5.078 (4.616)	Prec@5 14.844 (15.869)
Epoch: [9][4280/7045]	Time 0.137 (0.241)	Data 0.086 (0.179)	Loss 4.8359 (5.0155)	Prec@1 7.422 (4.616)	Prec@5 19.922 (15.869)
Epoch: [9][4290/7045]	Time 0.448 (0.242)	Data 0.388 (0.179)	Loss 4.9588 (5.0155)	Prec@1 5.469 (4.618)	Prec@5 17.969 (15.872)
Epoch: [9][4300/7045]	Time 0.155 (0.241)	Data 0.104 (0.179)	Loss 4.9325 (5.0156)	Prec@1 5.859 (4.618)	Prec@5 21.484 (15.874)
Epoch: [9][4310/7045]	Time 0.502 (0.242)	Data 0.451 (0.179)	Loss 5.1866 (5.0156)	Prec@1 5.078 (4.619)	Prec@5 15.625 (15.874)
Epoch: [9][4320/7045]	Time 0.148 (0.241)	Data 0.097 (0.179)	Loss 5.0311 (5.0157)	Prec@1 4.688 (4.620)	Prec@5 11.719 (15.870)
Epoch: [9][4330/7045]	Time 0.539 (0.242)	Data 0.488 (0.179)	Loss 4.9172 (5.0156)	Prec@1 4.297 (4.620)	Prec@5 14.062 (15.872)
Epoch: [9][4340/7045]	Time 0.224 (0.241)	Data 0.165 (0.179)	Loss 5.0046 (5.0155)	Prec@1 4.297 (4.620)	Prec@5 16.797 (15.875)
Epoch: [9][4350/7045]	Time 0.434 (0.241)	Data 0.383 (0.179)	Loss 5.0012 (5.0155)	Prec@1 6.641 (4.619)	Prec@5 18.359 (15.874)
Epoch: [9][4360/7045]	Time 0.288 (0.241)	Data 0.237 (0.179)	Loss 4.9541 (5.0154)	Prec@1 4.297 (4.619)	Prec@5 17.188 (15.875)
Epoch: [9][4370/7045]	Time 0.388 (0.241)	Data 0.336 (0.179)	Loss 5.0392 (5.0153)	Prec@1 3.516 (4.619)	Prec@5 14.062 (15.877)
Epoch: [9][4380/7045]	Time 0.363 (0.241)	Data 0.312 (0.179)	Loss 5.0797 (5.0153)	Prec@1 3.906 (4.620)	Prec@5 16.016 (15.878)
Epoch: [9][4390/7045]	Time 0.399 (0.241)	Data 0.347 (0.179)	Loss 5.0396 (5.0153)	Prec@1 4.297 (4.620)	Prec@5 14.453 (15.876)
Epoch: [9][4400/7045]	Time 0.368 (0.241)	Data 0.313 (0.179)	Loss 5.0110 (5.0153)	Prec@1 6.250 (4.621)	Prec@5 16.016 (15.876)
Epoch: [9][4410/7045]	Time 0.349 (0.241)	Data 0.298 (0.179)	Loss 5.0439 (5.0152)	Prec@1 5.469 (4.620)	Prec@5 16.406 (15.879)
Epoch: [9][4420/7045]	Time 0.509 (0.241)	Data 0.459 (0.179)	Loss 4.8180 (5.0152)	Prec@1 4.688 (4.620)	Prec@5 19.922 (15.882)
Epoch: [9][4430/7045]	Time 0.335 (0.241)	Data 0.285 (0.179)	Loss 5.0359 (5.0152)	Prec@1 3.125 (4.619)	Prec@5 11.328 (15.881)
Epoch: [9][4440/7045]	Time 0.462 (0.241)	Data 0.404 (0.179)	Loss 4.9103 (5.0151)	Prec@1 4.688 (4.619)	Prec@5 18.750 (15.883)
Epoch: [9][4450/7045]	Time 0.264 (0.241)	Data 0.212 (0.179)	Loss 4.8945 (5.0150)	Prec@1 6.641 (4.621)	Prec@5 17.969 (15.886)
Epoch: [9][4460/7045]	Time 0.510 (0.241)	Data 0.460 (0.179)	Loss 5.1464 (5.0150)	Prec@1 4.297 (4.622)	Prec@5 16.016 (15.886)
Epoch: [9][4470/7045]	Time 0.244 (0.241)	Data 0.183 (0.178)	Loss 5.0483 (5.0149)	Prec@1 5.078 (4.622)	Prec@5 15.234 (15.886)
Epoch: [9][4480/7045]	Time 0.529 (0.241)	Data 0.472 (0.179)	Loss 5.0210 (5.0150)	Prec@1 3.516 (4.621)	Prec@5 17.188 (15.884)
Epoch: [9][4490/7045]	Time 0.245 (0.241)	Data 0.195 (0.179)	Loss 5.0987 (5.0151)	Prec@1 3.125 (4.621)	Prec@5 14.062 (15.881)
Epoch: [9][4500/7045]	Time 0.556 (0.241)	Data 0.505 (0.179)	Loss 5.1086 (5.0153)	Prec@1 4.297 (4.620)	Prec@5 15.234 (15.880)
Epoch: [9][4510/7045]	Time 0.221 (0.241)	Data 0.165 (0.179)	Loss 5.0446 (5.0153)	Prec@1 5.078 (4.620)	Prec@5 13.672 (15.878)
Epoch: [9][4520/7045]	Time 0.343 (0.241)	Data 0.293 (0.179)	Loss 4.9833 (5.0154)	Prec@1 3.516 (4.618)	Prec@5 16.406 (15.876)
Epoch: [9][4530/7045]	Time 0.100 (0.241)	Data 0.045 (0.179)	Loss 5.0656 (5.0155)	Prec@1 2.734 (4.617)	Prec@5 15.234 (15.874)
Epoch: [9][4540/7045]	Time 0.304 (0.241)	Data 0.253 (0.179)	Loss 4.9801 (5.0156)	Prec@1 4.688 (4.616)	Prec@5 16.016 (15.872)
Epoch: [9][4550/7045]	Time 0.238 (0.241)	Data 0.187 (0.179)	Loss 5.0175 (5.0156)	Prec@1 4.688 (4.616)	Prec@5 17.188 (15.871)
Epoch: [9][4560/7045]	Time 0.233 (0.241)	Data 0.182 (0.179)	Loss 4.9472 (5.0156)	Prec@1 5.859 (4.615)	Prec@5 14.062 (15.871)
Epoch: [9][4570/7045]	Time 0.101 (0.241)	Data 0.001 (0.179)	Loss 5.0227 (5.0156)	Prec@1 6.250 (4.617)	Prec@5 18.750 (15.874)
Epoch: [9][4580/7045]	Time 0.122 (0.241)	Data 0.071 (0.179)	Loss 4.8766 (5.0156)	Prec@1 5.859 (4.618)	Prec@5 16.797 (15.875)
Epoch: [9][4590/7045]	Time 0.622 (0.242)	Data 0.571 (0.179)	Loss 5.0190 (5.0156)	Prec@1 5.078 (4.618)	Prec@5 20.703 (15.875)
Epoch: [9][4600/7045]	Time 0.144 (0.242)	Data 0.093 (0.179)	Loss 5.0634 (5.0158)	Prec@1 5.078 (4.617)	Prec@5 15.625 (15.873)
Epoch: [9][4610/7045]	Time 0.205 (0.242)	Data 0.155 (0.179)	Loss 5.1604 (5.0158)	Prec@1 5.469 (4.617)	Prec@5 14.453 (15.873)
Epoch: [9][4620/7045]	Time 0.316 (0.242)	Data 0.260 (0.179)	Loss 4.9504 (5.0158)	Prec@1 3.906 (4.617)	Prec@5 14.844 (15.872)
Epoch: [9][4630/7045]	Time 0.168 (0.242)	Data 0.117 (0.179)	Loss 4.9877 (5.0157)	Prec@1 3.516 (4.617)	Prec@5 13.672 (15.874)
Epoch: [9][4640/7045]	Time 0.354 (0.242)	Data 0.302 (0.179)	Loss 4.9202 (5.0156)	Prec@1 6.250 (4.619)	Prec@5 18.750 (15.878)
Epoch: [9][4650/7045]	Time 0.336 (0.242)	Data 0.285 (0.179)	Loss 4.9458 (5.0155)	Prec@1 6.641 (4.621)	Prec@5 17.188 (15.879)
Epoch: [9][4660/7045]	Time 0.099 (0.242)	Data 0.044 (0.179)	Loss 4.9812 (5.0155)	Prec@1 5.859 (4.621)	Prec@5 16.797 (15.880)
Epoch: [9][4670/7045]	Time 0.106 (0.242)	Data 0.001 (0.179)	Loss 5.0334 (5.0154)	Prec@1 2.734 (4.621)	Prec@5 14.453 (15.881)
Epoch: [9][4680/7045]	Time 0.177 (0.242)	Data 0.126 (0.179)	Loss 5.0333 (5.0155)	Prec@1 3.516 (4.620)	Prec@5 15.625 (15.879)
Epoch: [9][4690/7045]	Time 0.214 (0.242)	Data 0.162 (0.179)	Loss 4.9408 (5.0154)	Prec@1 3.906 (4.619)	Prec@5 18.750 (15.880)
Epoch: [9][4700/7045]	Time 0.108 (0.242)	Data 0.001 (0.179)	Loss 4.9948 (5.0155)	Prec@1 4.297 (4.619)	Prec@5 15.625 (15.881)
Epoch: [9][4710/7045]	Time 0.102 (0.242)	Data 0.001 (0.179)	Loss 4.9003 (5.0154)	Prec@1 5.469 (4.619)	Prec@5 19.141 (15.883)
Epoch: [9][4720/7045]	Time 0.171 (0.242)	Data 0.119 (0.179)	Loss 4.8758 (5.0154)	Prec@1 3.125 (4.620)	Prec@5 17.969 (15.883)
Epoch: [9][4730/7045]	Time 0.363 (0.242)	Data 0.312 (0.179)	Loss 4.9413 (5.0154)	Prec@1 5.469 (4.619)	Prec@5 16.016 (15.882)
Epoch: [9][4740/7045]	Time 0.141 (0.242)	Data 0.089 (0.179)	Loss 4.9788 (5.0153)	Prec@1 4.688 (4.618)	Prec@5 18.750 (15.884)
Epoch: [9][4750/7045]	Time 0.400 (0.242)	Data 0.348 (0.179)	Loss 4.9554 (5.0153)	Prec@1 4.688 (4.618)	Prec@5 19.922 (15.883)
Epoch: [9][4760/7045]	Time 0.210 (0.242)	Data 0.159 (0.179)	Loss 5.1144 (5.0154)	Prec@1 6.250 (4.618)	Prec@5 14.844 (15.883)
Epoch: [9][4770/7045]	Time 0.245 (0.242)	Data 0.189 (0.179)	Loss 4.9304 (5.0153)	Prec@1 5.859 (4.618)	Prec@5 18.750 (15.883)
Epoch: [9][4780/7045]	Time 0.724 (0.242)	Data 0.673 (0.179)	Loss 4.9507 (5.0153)	Prec@1 5.859 (4.617)	Prec@5 15.234 (15.881)
Epoch: [9][4790/7045]	Time 0.101 (0.242)	Data 0.001 (0.179)	Loss 5.1359 (5.0154)	Prec@1 3.516 (4.615)	Prec@5 12.109 (15.878)
Epoch: [9][4800/7045]	Time 0.687 (0.242)	Data 0.636 (0.179)	Loss 5.0764 (5.0154)	Prec@1 3.516 (4.615)	Prec@5 13.281 (15.875)
Epoch: [9][4810/7045]	Time 0.184 (0.242)	Data 0.134 (0.179)	Loss 4.8361 (5.0154)	Prec@1 5.859 (4.617)	Prec@5 19.141 (15.876)
Epoch: [9][4820/7045]	Time 0.111 (0.242)	Data 0.059 (0.179)	Loss 5.0007 (5.0153)	Prec@1 4.688 (4.617)	Prec@5 12.109 (15.877)
Epoch: [9][4830/7045]	Time 0.331 (0.242)	Data 0.280 (0.179)	Loss 4.8107 (5.0153)	Prec@1 7.031 (4.616)	Prec@5 23.047 (15.878)
Epoch: [9][4840/7045]	Time 0.105 (0.242)	Data 0.053 (0.179)	Loss 4.9744 (5.0153)	Prec@1 6.641 (4.616)	Prec@5 17.578 (15.878)
Epoch: [9][4850/7045]	Time 0.200 (0.242)	Data 0.149 (0.179)	Loss 5.0570 (5.0154)	Prec@1 4.688 (4.616)	Prec@5 16.406 (15.878)
Epoch: [9][4860/7045]	Time 0.101 (0.242)	Data 0.001 (0.179)	Loss 4.9945 (5.0153)	Prec@1 5.469 (4.616)	Prec@5 13.672 (15.877)
Epoch: [9][4870/7045]	Time 0.209 (0.242)	Data 0.157 (0.179)	Loss 4.7940 (5.0152)	Prec@1 5.078 (4.617)	Prec@5 19.922 (15.879)
Epoch: [9][4880/7045]	Time 0.318 (0.242)	Data 0.266 (0.179)	Loss 5.1157 (5.0152)	Prec@1 5.469 (4.617)	Prec@5 16.797 (15.878)
Epoch: [9][4890/7045]	Time 0.220 (0.242)	Data 0.170 (0.179)	Loss 5.1312 (5.0153)	Prec@1 2.734 (4.616)	Prec@5 12.500 (15.877)
Epoch: [9][4900/7045]	Time 0.372 (0.242)	Data 0.320 (0.179)	Loss 4.9568 (5.0153)	Prec@1 3.125 (4.616)	Prec@5 21.875 (15.879)
Epoch: [9][4910/7045]	Time 0.234 (0.242)	Data 0.183 (0.179)	Loss 5.0086 (5.0152)	Prec@1 3.906 (4.616)	Prec@5 15.234 (15.880)
Epoch: [9][4920/7045]	Time 0.101 (0.242)	Data 0.001 (0.179)	Loss 4.9564 (5.0153)	Prec@1 5.469 (4.616)	Prec@5 18.750 (15.880)
Epoch: [9][4930/7045]	Time 0.593 (0.242)	Data 0.536 (0.179)	Loss 4.8611 (5.0152)	Prec@1 2.734 (4.617)	Prec@5 15.234 (15.879)
Epoch: [9][4940/7045]	Time 0.152 (0.242)	Data 0.101 (0.179)	Loss 4.8786 (5.0151)	Prec@1 3.906 (4.616)	Prec@5 16.406 (15.880)
Epoch: [9][4950/7045]	Time 0.401 (0.242)	Data 0.351 (0.179)	Loss 5.0464 (5.0150)	Prec@1 1.953 (4.616)	Prec@5 12.891 (15.880)
Epoch: [9][4960/7045]	Time 0.101 (0.242)	Data 0.005 (0.179)	Loss 5.0271 (5.0150)	Prec@1 4.297 (4.616)	Prec@5 16.406 (15.881)
Epoch: [9][4970/7045]	Time 0.204 (0.242)	Data 0.152 (0.179)	Loss 5.1366 (5.0152)	Prec@1 3.125 (4.614)	Prec@5 15.234 (15.877)
Epoch: [9][4980/7045]	Time 0.102 (0.242)	Data 0.001 (0.179)	Loss 5.0068 (5.0152)	Prec@1 7.031 (4.613)	Prec@5 16.016 (15.875)
Epoch: [9][4990/7045]	Time 0.338 (0.242)	Data 0.288 (0.179)	Loss 5.0353 (5.0153)	Prec@1 3.906 (4.611)	Prec@5 18.359 (15.873)
Epoch: [9][5000/7045]	Time 0.578 (0.242)	Data 0.526 (0.179)	Loss 5.0263 (5.0154)	Prec@1 4.688 (4.612)	Prec@5 17.578 (15.873)
Epoch: [9][5010/7045]	Time 0.106 (0.242)	Data 0.054 (0.179)	Loss 4.9978 (5.0154)	Prec@1 3.516 (4.613)	Prec@5 16.797 (15.872)
Epoch: [9][5020/7045]	Time 0.363 (0.242)	Data 0.312 (0.179)	Loss 5.1733 (5.0155)	Prec@1 3.516 (4.612)	Prec@5 10.156 (15.870)
Epoch: [9][5030/7045]	Time 0.179 (0.242)	Data 0.127 (0.179)	Loss 5.0595 (5.0155)	Prec@1 3.516 (4.611)	Prec@5 15.625 (15.870)
Epoch: [9][5040/7045]	Time 0.162 (0.242)	Data 0.111 (0.179)	Loss 5.0792 (5.0156)	Prec@1 3.906 (4.611)	Prec@5 11.328 (15.867)
Epoch: [9][5050/7045]	Time 0.103 (0.242)	Data 0.008 (0.179)	Loss 5.0822 (5.0157)	Prec@1 2.734 (4.609)	Prec@5 12.109 (15.862)
Epoch: [9][5060/7045]	Time 0.336 (0.242)	Data 0.284 (0.179)	Loss 5.1798 (5.0159)	Prec@1 1.562 (4.607)	Prec@5 12.891 (15.857)
Epoch: [9][5070/7045]	Time 0.102 (0.242)	Data 0.001 (0.179)	Loss 4.9026 (5.0160)	Prec@1 5.859 (4.608)	Prec@5 18.359 (15.857)
Epoch: [9][5080/7045]	Time 0.463 (0.242)	Data 0.407 (0.179)	Loss 4.8669 (5.0160)	Prec@1 5.859 (4.607)	Prec@5 19.531 (15.857)
Epoch: [9][5090/7045]	Time 0.143 (0.242)	Data 0.093 (0.179)	Loss 4.9990 (5.0160)	Prec@1 4.688 (4.607)	Prec@5 16.016 (15.859)
Epoch: [9][5100/7045]	Time 0.424 (0.242)	Data 0.374 (0.179)	Loss 5.0884 (5.0159)	Prec@1 5.859 (4.606)	Prec@5 15.234 (15.859)
Epoch: [9][5110/7045]	Time 0.394 (0.242)	Data 0.337 (0.179)	Loss 5.0679 (5.0160)	Prec@1 4.688 (4.605)	Prec@5 16.797 (15.858)
Epoch: [9][5120/7045]	Time 0.265 (0.242)	Data 0.213 (0.179)	Loss 5.0071 (5.0161)	Prec@1 5.469 (4.605)	Prec@5 19.531 (15.857)
Epoch: [9][5130/7045]	Time 0.374 (0.242)	Data 0.323 (0.179)	Loss 5.0350 (5.0161)	Prec@1 4.688 (4.605)	Prec@5 14.844 (15.858)
Epoch: [9][5140/7045]	Time 0.108 (0.242)	Data 0.001 (0.179)	Loss 5.1576 (5.0162)	Prec@1 4.297 (4.605)	Prec@5 10.547 (15.857)
Epoch: [9][5150/7045]	Time 0.305 (0.242)	Data 0.254 (0.179)	Loss 4.8653 (5.0161)	Prec@1 5.078 (4.604)	Prec@5 18.750 (15.857)
Epoch: [9][5160/7045]	Time 0.155 (0.242)	Data 0.104 (0.179)	Loss 5.1595 (5.0161)	Prec@1 3.125 (4.604)	Prec@5 14.844 (15.857)
Epoch: [9][5170/7045]	Time 0.106 (0.242)	Data 0.054 (0.179)	Loss 5.1361 (5.0161)	Prec@1 2.734 (4.606)	Prec@5 11.719 (15.857)
Epoch: [9][5180/7045]	Time 0.161 (0.242)	Data 0.109 (0.179)	Loss 5.0210 (5.0161)	Prec@1 5.469 (4.605)	Prec@5 14.453 (15.855)
Epoch: [9][5190/7045]	Time 0.228 (0.242)	Data 0.177 (0.179)	Loss 5.0767 (5.0161)	Prec@1 3.906 (4.607)	Prec@5 16.406 (15.856)
Epoch: [9][5200/7045]	Time 0.196 (0.242)	Data 0.145 (0.179)	Loss 4.8370 (5.0160)	Prec@1 7.422 (4.606)	Prec@5 19.922 (15.858)
Epoch: [9][5210/7045]	Time 0.481 (0.242)	Data 0.425 (0.179)	Loss 4.8090 (5.0158)	Prec@1 5.078 (4.607)	Prec@5 17.969 (15.862)
Epoch: [9][5220/7045]	Time 0.107 (0.242)	Data 0.055 (0.179)	Loss 5.0450 (5.0158)	Prec@1 2.734 (4.606)	Prec@5 14.062 (15.860)
Epoch: [9][5230/7045]	Time 0.572 (0.242)	Data 0.521 (0.179)	Loss 5.0338 (5.0158)	Prec@1 3.516 (4.606)	Prec@5 14.062 (15.860)
Epoch: [9][5240/7045]	Time 0.106 (0.242)	Data 0.054 (0.179)	Loss 5.0707 (5.0158)	Prec@1 3.906 (4.606)	Prec@5 16.797 (15.861)
Epoch: [9][5250/7045]	Time 0.363 (0.242)	Data 0.313 (0.179)	Loss 5.0719 (5.0158)	Prec@1 3.516 (4.606)	Prec@5 14.453 (15.861)
Epoch: [9][5260/7045]	Time 0.102 (0.242)	Data 0.049 (0.179)	Loss 5.0571 (5.0157)	Prec@1 6.250 (4.607)	Prec@5 17.188 (15.863)
Epoch: [9][5270/7045]	Time 0.353 (0.242)	Data 0.302 (0.179)	Loss 4.9982 (5.0156)	Prec@1 4.297 (4.606)	Prec@5 19.531 (15.864)
Epoch: [9][5280/7045]	Time 0.102 (0.242)	Data 0.002 (0.179)	Loss 5.0726 (5.0156)	Prec@1 4.688 (4.607)	Prec@5 17.188 (15.868)
Epoch: [9][5290/7045]	Time 0.190 (0.242)	Data 0.138 (0.179)	Loss 5.0166 (5.0156)	Prec@1 5.078 (4.607)	Prec@5 17.188 (15.866)
Epoch: [9][5300/7045]	Time 0.101 (0.242)	Data 0.001 (0.179)	Loss 5.1496 (5.0156)	Prec@1 5.078 (4.607)	Prec@5 16.016 (15.866)
Epoch: [9][5310/7045]	Time 0.100 (0.242)	Data 0.046 (0.179)	Loss 5.1871 (5.0158)	Prec@1 3.906 (4.606)	Prec@5 17.578 (15.865)
Epoch: [9][5320/7045]	Time 0.102 (0.242)	Data 0.003 (0.179)	Loss 4.9217 (5.0159)	Prec@1 2.734 (4.605)	Prec@5 16.797 (15.862)
Epoch: [9][5330/7045]	Time 0.251 (0.242)	Data 0.200 (0.179)	Loss 5.0432 (5.0159)	Prec@1 2.344 (4.605)	Prec@5 13.281 (15.861)
Epoch: [9][5340/7045]	Time 0.102 (0.242)	Data 0.049 (0.179)	Loss 4.9230 (5.0158)	Prec@1 4.688 (4.607)	Prec@5 18.359 (15.863)
Epoch: [9][5350/7045]	Time 0.272 (0.242)	Data 0.215 (0.179)	Loss 5.0201 (5.0158)	Prec@1 3.906 (4.607)	Prec@5 16.406 (15.863)
Epoch: [9][5360/7045]	Time 0.320 (0.242)	Data 0.270 (0.179)	Loss 4.9444 (5.0158)	Prec@1 5.859 (4.608)	Prec@5 17.188 (15.863)
Epoch: [9][5370/7045]	Time 0.257 (0.242)	Data 0.199 (0.179)	Loss 5.1285 (5.0158)	Prec@1 3.516 (4.607)	Prec@5 14.844 (15.862)
Epoch: [9][5380/7045]	Time 0.642 (0.242)	Data 0.590 (0.179)	Loss 4.9651 (5.0159)	Prec@1 2.734 (4.606)	Prec@5 15.234 (15.860)
Epoch: [9][5390/7045]	Time 0.124 (0.242)	Data 0.072 (0.179)	Loss 5.1140 (5.0160)	Prec@1 5.469 (4.604)	Prec@5 13.672 (15.855)
Epoch: [9][5400/7045]	Time 0.507 (0.242)	Data 0.456 (0.179)	Loss 5.0333 (5.0160)	Prec@1 3.516 (4.605)	Prec@5 14.062 (15.855)
Epoch: [9][5410/7045]	Time 0.102 (0.242)	Data 0.044 (0.179)	Loss 5.1071 (5.0161)	Prec@1 3.906 (4.604)	Prec@5 14.453 (15.854)
Epoch: [9][5420/7045]	Time 0.446 (0.242)	Data 0.394 (0.179)	Loss 5.1562 (5.0161)	Prec@1 3.516 (4.604)	Prec@5 11.719 (15.852)
Epoch: [9][5430/7045]	Time 0.129 (0.242)	Data 0.078 (0.179)	Loss 4.9033 (5.0160)	Prec@1 5.078 (4.604)	Prec@5 20.312 (15.852)
Epoch: [9][5440/7045]	Time 0.344 (0.242)	Data 0.292 (0.179)	Loss 4.9127 (5.0159)	Prec@1 7.812 (4.606)	Prec@5 19.922 (15.855)
Epoch: [9][5450/7045]	Time 0.214 (0.242)	Data 0.163 (0.179)	Loss 4.8513 (5.0158)	Prec@1 5.078 (4.606)	Prec@5 16.016 (15.855)
Epoch: [9][5460/7045]	Time 0.101 (0.242)	Data 0.001 (0.179)	Loss 5.0730 (5.0157)	Prec@1 6.250 (4.605)	Prec@5 15.234 (15.855)
Epoch: [9][5470/7045]	Time 0.237 (0.242)	Data 0.185 (0.179)	Loss 4.8639 (5.0157)	Prec@1 5.469 (4.606)	Prec@5 17.578 (15.857)
Epoch: [9][5480/7045]	Time 0.109 (0.242)	Data 0.001 (0.179)	Loss 5.0439 (5.0157)	Prec@1 5.859 (4.606)	Prec@5 14.844 (15.857)
Epoch: [9][5490/7045]	Time 0.263 (0.242)	Data 0.212 (0.179)	Loss 5.0192 (5.0157)	Prec@1 5.078 (4.606)	Prec@5 17.969 (15.860)
Epoch: [9][5500/7045]	Time 0.108 (0.242)	Data 0.007 (0.179)	Loss 5.0232 (5.0157)	Prec@1 4.688 (4.606)	Prec@5 16.016 (15.859)
Epoch: [9][5510/7045]	Time 0.333 (0.242)	Data 0.282 (0.179)	Loss 5.0701 (5.0157)	Prec@1 5.859 (4.605)	Prec@5 14.844 (15.859)
Epoch: [9][5520/7045]	Time 0.105 (0.242)	Data 0.047 (0.179)	Loss 5.0270 (5.0157)	Prec@1 3.906 (4.605)	Prec@5 14.062 (15.859)
Epoch: [9][5530/7045]	Time 0.452 (0.242)	Data 0.402 (0.179)	Loss 4.9998 (5.0156)	Prec@1 5.859 (4.605)	Prec@5 17.188 (15.859)
Epoch: [9][5540/7045]	Time 0.107 (0.242)	Data 0.001 (0.179)	Loss 4.9262 (5.0156)	Prec@1 7.812 (4.605)	Prec@5 17.578 (15.861)
Epoch: [9][5550/7045]	Time 0.695 (0.242)	Data 0.644 (0.179)	Loss 5.0080 (5.0156)	Prec@1 7.031 (4.606)	Prec@5 16.406 (15.860)
Epoch: [9][5560/7045]	Time 0.102 (0.242)	Data 0.049 (0.179)	Loss 4.9736 (5.0156)	Prec@1 4.297 (4.606)	Prec@5 16.406 (15.861)
Epoch: [9][5570/7045]	Time 0.225 (0.242)	Data 0.174 (0.179)	Loss 4.9892 (5.0156)	Prec@1 5.469 (4.606)	Prec@5 14.844 (15.862)
Epoch: [9][5580/7045]	Time 0.102 (0.242)	Data 0.001 (0.179)	Loss 5.0262 (5.0155)	Prec@1 6.641 (4.605)	Prec@5 13.672 (15.863)
Epoch: [9][5590/7045]	Time 0.103 (0.242)	Data 0.050 (0.179)	Loss 4.7410 (5.0154)	Prec@1 7.031 (4.607)	Prec@5 20.703 (15.863)
Epoch: [9][5600/7045]	Time 0.169 (0.242)	Data 0.119 (0.179)	Loss 5.0457 (5.0155)	Prec@1 4.688 (4.605)	Prec@5 14.453 (15.861)
Epoch: [9][5610/7045]	Time 0.102 (0.242)	Data 0.002 (0.179)	Loss 5.0470 (5.0155)	Prec@1 3.125 (4.604)	Prec@5 13.672 (15.860)
Epoch: [9][5620/7045]	Time 0.194 (0.242)	Data 0.142 (0.179)	Loss 5.0997 (5.0154)	Prec@1 4.688 (4.604)	Prec@5 13.672 (15.861)
Epoch: [9][5630/7045]	Time 0.101 (0.242)	Data 0.001 (0.179)	Loss 5.0277 (5.0154)	Prec@1 4.688 (4.604)	Prec@5 19.141 (15.861)
Epoch: [9][5640/7045]	Time 0.301 (0.242)	Data 0.251 (0.179)	Loss 4.9455 (5.0154)	Prec@1 4.297 (4.604)	Prec@5 17.578 (15.861)
Epoch: [9][5650/7045]	Time 0.101 (0.242)	Data 0.008 (0.179)	Loss 4.9090 (5.0153)	Prec@1 6.641 (4.604)	Prec@5 17.969 (15.863)
Epoch: [9][5660/7045]	Time 0.357 (0.242)	Data 0.306 (0.179)	Loss 5.1048 (5.0153)	Prec@1 4.297 (4.604)	Prec@5 17.969 (15.864)
Epoch: [9][5670/7045]	Time 0.102 (0.242)	Data 0.009 (0.179)	Loss 5.0755 (5.0154)	Prec@1 4.297 (4.603)	Prec@5 16.406 (15.863)
Epoch: [9][5680/7045]	Time 0.366 (0.242)	Data 0.316 (0.179)	Loss 4.9513 (5.0155)	Prec@1 5.469 (4.603)	Prec@5 15.625 (15.861)
Epoch: [9][5690/7045]	Time 0.102 (0.242)	Data 0.049 (0.179)	Loss 5.0023 (5.0154)	Prec@1 5.859 (4.605)	Prec@5 17.969 (15.863)
Epoch: [9][5700/7045]	Time 0.399 (0.242)	Data 0.347 (0.179)	Loss 5.1645 (5.0154)	Prec@1 3.906 (4.605)	Prec@5 11.328 (15.865)
Epoch: [9][5710/7045]	Time 0.106 (0.242)	Data 0.048 (0.179)	Loss 4.9793 (5.0153)	Prec@1 6.641 (4.605)	Prec@5 17.578 (15.866)
Epoch: [9][5720/7045]	Time 0.395 (0.242)	Data 0.344 (0.179)	Loss 4.8820 (5.0153)	Prec@1 5.078 (4.606)	Prec@5 14.844 (15.865)
Epoch: [9][5730/7045]	Time 0.210 (0.242)	Data 0.153 (0.179)	Loss 4.9183 (5.0153)	Prec@1 4.688 (4.606)	Prec@5 16.797 (15.864)
Epoch: [9][5740/7045]	Time 0.415 (0.242)	Data 0.363 (0.179)	Loss 5.0518 (5.0153)	Prec@1 3.516 (4.605)	Prec@5 14.062 (15.864)
Epoch: [9][5750/7045]	Time 0.211 (0.242)	Data 0.152 (0.179)	Loss 4.9336 (5.0153)	Prec@1 5.469 (4.605)	Prec@5 21.484 (15.865)
Epoch: [9][5760/7045]	Time 0.475 (0.242)	Data 0.424 (0.179)	Loss 5.0976 (5.0153)	Prec@1 4.297 (4.605)	Prec@5 15.625 (15.865)
Epoch: [9][5770/7045]	Time 0.197 (0.242)	Data 0.147 (0.179)	Loss 5.0739 (5.0154)	Prec@1 5.078 (4.605)	Prec@5 13.672 (15.864)
Epoch: [9][5780/7045]	Time 0.504 (0.242)	Data 0.448 (0.179)	Loss 5.0155 (5.0153)	Prec@1 4.297 (4.606)	Prec@5 15.625 (15.865)
Epoch: [9][5790/7045]	Time 0.188 (0.242)	Data 0.137 (0.179)	Loss 5.0303 (5.0153)	Prec@1 3.906 (4.606)	Prec@5 14.453 (15.863)
Epoch: [9][5800/7045]	Time 0.569 (0.242)	Data 0.517 (0.179)	Loss 5.0566 (5.0154)	Prec@1 3.516 (4.605)	Prec@5 14.062 (15.862)
Epoch: [9][5810/7045]	Time 0.198 (0.242)	Data 0.147 (0.179)	Loss 5.1305 (5.0154)	Prec@1 2.734 (4.606)	Prec@5 13.281 (15.863)
Epoch: [9][5820/7045]	Time 0.434 (0.242)	Data 0.376 (0.179)	Loss 5.0029 (5.0153)	Prec@1 5.469 (4.605)	Prec@5 14.453 (15.863)
Epoch: [9][5830/7045]	Time 0.231 (0.242)	Data 0.180 (0.179)	Loss 4.9640 (5.0154)	Prec@1 7.031 (4.606)	Prec@5 17.578 (15.864)
Epoch: [9][5840/7045]	Time 0.341 (0.242)	Data 0.290 (0.179)	Loss 4.8743 (5.0153)	Prec@1 5.078 (4.607)	Prec@5 19.922 (15.865)
Epoch: [9][5850/7045]	Time 0.249 (0.242)	Data 0.198 (0.179)	Loss 5.0402 (5.0153)	Prec@1 4.688 (4.605)	Prec@5 17.969 (15.865)
Epoch: [9][5860/7045]	Time 0.258 (0.242)	Data 0.208 (0.179)	Loss 5.0087 (5.0153)	Prec@1 5.859 (4.606)	Prec@5 16.406 (15.865)
Epoch: [9][5870/7045]	Time 0.222 (0.242)	Data 0.172 (0.179)	Loss 4.8654 (5.0152)	Prec@1 5.469 (4.607)	Prec@5 19.922 (15.868)
Epoch: [9][5880/7045]	Time 0.223 (0.242)	Data 0.172 (0.179)	Loss 4.9339 (5.0152)	Prec@1 3.516 (4.606)	Prec@5 14.062 (15.868)
Epoch: [9][5890/7045]	Time 0.220 (0.242)	Data 0.170 (0.179)	Loss 4.9829 (5.0152)	Prec@1 3.906 (4.607)	Prec@5 14.453 (15.869)
Epoch: [9][5900/7045]	Time 0.183 (0.242)	Data 0.132 (0.179)	Loss 4.8859 (5.0152)	Prec@1 5.078 (4.607)	Prec@5 16.016 (15.870)
Epoch: [9][5910/7045]	Time 0.172 (0.242)	Data 0.121 (0.179)	Loss 5.0310 (5.0152)	Prec@1 1.953 (4.607)	Prec@5 15.234 (15.869)
Epoch: [9][5920/7045]	Time 0.153 (0.242)	Data 0.102 (0.179)	Loss 5.0375 (5.0153)	Prec@1 5.078 (4.606)	Prec@5 15.234 (15.870)
Epoch: [9][5930/7045]	Time 0.107 (0.242)	Data 0.056 (0.179)	Loss 5.1311 (5.0155)	Prec@1 3.125 (4.604)	Prec@5 14.062 (15.864)
Epoch: [9][5940/7045]	Time 0.098 (0.242)	Data 0.046 (0.179)	Loss 5.0092 (5.0154)	Prec@1 4.688 (4.604)	Prec@5 14.844 (15.864)
Epoch: [9][5950/7045]	Time 0.101 (0.242)	Data 0.007 (0.179)	Loss 4.9993 (5.0155)	Prec@1 4.688 (4.603)	Prec@5 15.625 (15.863)
Epoch: [9][5960/7045]	Time 0.101 (0.242)	Data 0.001 (0.179)	Loss 4.9425 (5.0155)	Prec@1 4.297 (4.602)	Prec@5 14.844 (15.863)
Epoch: [9][5970/7045]	Time 0.101 (0.242)	Data 0.048 (0.179)	Loss 5.0541 (5.0155)	Prec@1 5.078 (4.602)	Prec@5 17.188 (15.862)
Epoch: [9][5980/7045]	Time 0.101 (0.242)	Data 0.003 (0.179)	Loss 5.1268 (5.0155)	Prec@1 3.516 (4.602)	Prec@5 12.500 (15.862)
Epoch: [9][5990/7045]	Time 0.102 (0.242)	Data 0.008 (0.179)	Loss 5.0238 (5.0155)	Prec@1 5.859 (4.601)	Prec@5 14.453 (15.862)
Epoch: [9][6000/7045]	Time 0.132 (0.242)	Data 0.081 (0.179)	Loss 5.0582 (5.0155)	Prec@1 4.297 (4.602)	Prec@5 16.797 (15.863)
Epoch: [9][6010/7045]	Time 0.108 (0.242)	Data 0.056 (0.179)	Loss 4.9858 (5.0154)	Prec@1 5.859 (4.602)	Prec@5 16.797 (15.863)
Epoch: [9][6020/7045]	Time 0.186 (0.242)	Data 0.134 (0.179)	Loss 4.8114 (5.0155)	Prec@1 8.203 (4.601)	Prec@5 20.312 (15.861)
Epoch: [9][6030/7045]	Time 0.100 (0.242)	Data 0.044 (0.179)	Loss 5.0696 (5.0155)	Prec@1 3.906 (4.601)	Prec@5 14.453 (15.861)
Epoch: [9][6040/7045]	Time 0.101 (0.242)	Data 0.001 (0.179)	Loss 5.0358 (5.0154)	Prec@1 5.078 (4.602)	Prec@5 17.969 (15.862)
Epoch: [9][6050/7045]	Time 0.107 (0.242)	Data 0.050 (0.179)	Loss 5.1500 (5.0155)	Prec@1 3.516 (4.601)	Prec@5 17.188 (15.861)
Epoch: [9][6060/7045]	Time 0.101 (0.242)	Data 0.001 (0.179)	Loss 4.9877 (5.0155)	Prec@1 3.906 (4.600)	Prec@5 20.312 (15.862)
Epoch: [9][6070/7045]	Time 0.395 (0.242)	Data 0.336 (0.179)	Loss 5.0888 (5.0154)	Prec@1 5.078 (4.600)	Prec@5 15.234 (15.863)
Epoch: [9][6080/7045]	Time 0.118 (0.242)	Data 0.067 (0.179)	Loss 4.9100 (5.0154)	Prec@1 6.250 (4.601)	Prec@5 18.750 (15.863)
Epoch: [9][6090/7045]	Time 0.381 (0.242)	Data 0.330 (0.179)	Loss 5.1093 (5.0155)	Prec@1 4.297 (4.601)	Prec@5 15.625 (15.862)
Epoch: [9][6100/7045]	Time 0.304 (0.242)	Data 0.248 (0.179)	Loss 5.0694 (5.0155)	Prec@1 5.078 (4.601)	Prec@5 15.625 (15.863)
Epoch: [9][6110/7045]	Time 0.364 (0.242)	Data 0.314 (0.179)	Loss 5.0458 (5.0156)	Prec@1 5.469 (4.600)	Prec@5 15.234 (15.861)
Epoch: [9][6120/7045]	Time 0.147 (0.242)	Data 0.095 (0.179)	Loss 5.0012 (5.0157)	Prec@1 6.250 (4.600)	Prec@5 14.453 (15.860)
Epoch: [9][6130/7045]	Time 0.171 (0.242)	Data 0.120 (0.179)	Loss 5.1461 (5.0159)	Prec@1 3.125 (4.598)	Prec@5 13.281 (15.855)
Epoch: [9][6140/7045]	Time 0.108 (0.242)	Data 0.056 (0.179)	Loss 4.9337 (5.0158)	Prec@1 4.297 (4.598)	Prec@5 16.406 (15.855)
Epoch: [9][6150/7045]	Time 0.102 (0.242)	Data 0.006 (0.179)	Loss 4.8140 (5.0158)	Prec@1 7.031 (4.598)	Prec@5 21.484 (15.856)
Epoch: [9][6160/7045]	Time 0.422 (0.242)	Data 0.370 (0.179)	Loss 5.2387 (5.0159)	Prec@1 3.906 (4.598)	Prec@5 15.234 (15.854)
Epoch: [9][6170/7045]	Time 0.180 (0.242)	Data 0.129 (0.179)	Loss 5.1112 (5.0161)	Prec@1 5.078 (4.598)	Prec@5 14.844 (15.853)
Epoch: [9][6180/7045]	Time 0.662 (0.242)	Data 0.610 (0.179)	Loss 4.9989 (5.0162)	Prec@1 5.078 (4.596)	Prec@5 15.234 (15.850)
Epoch: [9][6190/7045]	Time 0.159 (0.242)	Data 0.101 (0.179)	Loss 5.1039 (5.0163)	Prec@1 3.906 (4.596)	Prec@5 16.406 (15.850)
Epoch: [9][6200/7045]	Time 0.474 (0.242)	Data 0.423 (0.179)	Loss 4.8676 (5.0163)	Prec@1 4.297 (4.595)	Prec@5 17.969 (15.850)
Epoch: [9][6210/7045]	Time 0.101 (0.242)	Data 0.046 (0.179)	Loss 5.0519 (5.0163)	Prec@1 3.516 (4.595)	Prec@5 13.672 (15.850)
Epoch: [9][6220/7045]	Time 0.260 (0.242)	Data 0.209 (0.179)	Loss 5.2462 (5.0164)	Prec@1 2.734 (4.595)	Prec@5 12.109 (15.848)
Epoch: [9][6230/7045]	Time 0.310 (0.242)	Data 0.259 (0.179)	Loss 4.9267 (5.0163)	Prec@1 4.688 (4.595)	Prec@5 15.234 (15.849)
Epoch: [9][6240/7045]	Time 0.103 (0.242)	Data 0.004 (0.179)	Loss 5.1427 (5.0163)	Prec@1 2.734 (4.594)	Prec@5 12.891 (15.849)
Epoch: [9][6250/7045]	Time 0.367 (0.242)	Data 0.317 (0.179)	Loss 4.9461 (5.0164)	Prec@1 5.859 (4.595)	Prec@5 17.578 (15.850)
Epoch: [9][6260/7045]	Time 0.254 (0.242)	Data 0.204 (0.179)	Loss 5.1500 (5.0165)	Prec@1 5.078 (4.594)	Prec@5 15.625 (15.847)
Epoch: [9][6270/7045]	Time 0.257 (0.242)	Data 0.206 (0.179)	Loss 4.9464 (5.0166)	Prec@1 5.469 (4.592)	Prec@5 17.578 (15.845)
Epoch: [9][6280/7045]	Time 0.139 (0.242)	Data 0.087 (0.179)	Loss 4.8380 (5.0165)	Prec@1 5.469 (4.592)	Prec@5 19.922 (15.846)
Epoch: [9][6290/7045]	Time 0.102 (0.242)	Data 0.001 (0.179)	Loss 4.9555 (5.0166)	Prec@1 5.859 (4.591)	Prec@5 19.141 (15.844)
Epoch: [9][6300/7045]	Time 0.118 (0.242)	Data 0.067 (0.179)	Loss 4.9915 (5.0166)	Prec@1 2.344 (4.591)	Prec@5 14.062 (15.845)
Epoch: [9][6310/7045]	Time 0.283 (0.242)	Data 0.225 (0.179)	Loss 4.9954 (5.0166)	Prec@1 4.688 (4.590)	Prec@5 18.359 (15.843)
Epoch: [9][6320/7045]	Time 0.102 (0.242)	Data 0.001 (0.179)	Loss 5.1301 (5.0168)	Prec@1 4.297 (4.588)	Prec@5 14.062 (15.840)
Epoch: [9][6330/7045]	Time 0.333 (0.242)	Data 0.275 (0.179)	Loss 5.0397 (5.0169)	Prec@1 5.469 (4.588)	Prec@5 17.188 (15.838)
Epoch: [9][6340/7045]	Time 0.141 (0.242)	Data 0.090 (0.179)	Loss 5.1485 (5.0169)	Prec@1 5.469 (4.589)	Prec@5 16.406 (15.839)
Epoch: [9][6350/7045]	Time 0.369 (0.242)	Data 0.319 (0.179)	Loss 4.9306 (5.0169)	Prec@1 3.516 (4.589)	Prec@5 20.703 (15.839)
Epoch: [9][6360/7045]	Time 0.318 (0.242)	Data 0.267 (0.179)	Loss 5.1413 (5.0171)	Prec@1 3.906 (4.588)	Prec@5 14.062 (15.837)
Epoch: [9][6370/7045]	Time 0.231 (0.242)	Data 0.180 (0.179)	Loss 5.0233 (5.0171)	Prec@1 7.422 (4.588)	Prec@5 17.578 (15.838)
Epoch: [9][6380/7045]	Time 0.463 (0.242)	Data 0.411 (0.179)	Loss 5.1555 (5.0171)	Prec@1 4.297 (4.588)	Prec@5 11.719 (15.836)
Epoch: [9][6390/7045]	Time 0.108 (0.242)	Data 0.003 (0.179)	Loss 5.0173 (5.0171)	Prec@1 2.734 (4.588)	Prec@5 14.844 (15.835)
Epoch: [9][6400/7045]	Time 0.378 (0.242)	Data 0.326 (0.179)	Loss 5.0058 (5.0172)	Prec@1 4.688 (4.589)	Prec@5 16.797 (15.835)
Epoch: [9][6410/7045]	Time 0.154 (0.242)	Data 0.102 (0.179)	Loss 5.0496 (5.0173)	Prec@1 4.688 (4.588)	Prec@5 14.844 (15.833)
Epoch: [9][6420/7045]	Time 0.203 (0.242)	Data 0.154 (0.179)	Loss 5.0509 (5.0173)	Prec@1 5.859 (4.588)	Prec@5 17.188 (15.832)
Epoch: [9][6430/7045]	Time 0.199 (0.242)	Data 0.149 (0.179)	Loss 5.0416 (5.0174)	Prec@1 4.297 (4.586)	Prec@5 14.453 (15.831)
Epoch: [9][6440/7045]	Time 0.102 (0.242)	Data 0.001 (0.179)	Loss 5.0212 (5.0174)	Prec@1 2.734 (4.586)	Prec@5 14.844 (15.831)
Epoch: [9][6450/7045]	Time 0.198 (0.242)	Data 0.148 (0.179)	Loss 4.9560 (5.0174)	Prec@1 5.078 (4.585)	Prec@5 14.453 (15.832)
Epoch: [9][6460/7045]	Time 0.101 (0.242)	Data 0.001 (0.179)	Loss 5.0312 (5.0174)	Prec@1 3.906 (4.584)	Prec@5 15.625 (15.831)
Epoch: [9][6470/7045]	Time 0.280 (0.242)	Data 0.228 (0.179)	Loss 5.0897 (5.0175)	Prec@1 4.297 (4.583)	Prec@5 17.188 (15.831)
Epoch: [9][6480/7045]	Time 0.103 (0.242)	Data 0.001 (0.179)	Loss 4.9875 (5.0174)	Prec@1 3.906 (4.584)	Prec@5 16.797 (15.831)
Epoch: [9][6490/7045]	Time 0.334 (0.242)	Data 0.284 (0.179)	Loss 5.0224 (5.0174)	Prec@1 3.906 (4.585)	Prec@5 16.016 (15.833)
Epoch: [9][6500/7045]	Time 0.101 (0.242)	Data 0.001 (0.179)	Loss 5.3087 (5.0176)	Prec@1 3.516 (4.584)	Prec@5 10.156 (15.830)
Epoch: [9][6510/7045]	Time 0.347 (0.242)	Data 0.296 (0.179)	Loss 5.0909 (5.0177)	Prec@1 3.906 (4.583)	Prec@5 15.625 (15.828)
Epoch: [9][6520/7045]	Time 0.102 (0.242)	Data 0.044 (0.179)	Loss 5.1892 (5.0180)	Prec@1 3.516 (4.582)	Prec@5 12.891 (15.824)
Epoch: [9][6530/7045]	Time 0.343 (0.242)	Data 0.292 (0.179)	Loss 4.8619 (5.0180)	Prec@1 6.250 (4.581)	Prec@5 17.188 (15.822)
Epoch: [9][6540/7045]	Time 0.104 (0.242)	Data 0.052 (0.179)	Loss 5.0784 (5.0181)	Prec@1 5.859 (4.581)	Prec@5 14.062 (15.819)
Epoch: [9][6550/7045]	Time 0.410 (0.242)	Data 0.359 (0.179)	Loss 5.0091 (5.0181)	Prec@1 3.516 (4.581)	Prec@5 16.016 (15.818)
Epoch: [9][6560/7045]	Time 0.100 (0.242)	Data 0.045 (0.179)	Loss 4.9844 (5.0182)	Prec@1 1.953 (4.581)	Prec@5 16.406 (15.818)
Epoch: [9][6570/7045]	Time 0.357 (0.242)	Data 0.306 (0.179)	Loss 5.0175 (5.0182)	Prec@1 5.859 (4.580)	Prec@5 17.188 (15.817)
Epoch: [9][6580/7045]	Time 0.101 (0.242)	Data 0.047 (0.179)	Loss 5.1237 (5.0182)	Prec@1 4.688 (4.580)	Prec@5 14.844 (15.816)
Epoch: [9][6590/7045]	Time 0.374 (0.242)	Data 0.323 (0.179)	Loss 5.1392 (5.0184)	Prec@1 3.516 (4.580)	Prec@5 13.281 (15.816)
Epoch: [9][6600/7045]	Time 0.112 (0.242)	Data 0.058 (0.179)	Loss 5.1590 (5.0185)	Prec@1 5.469 (4.579)	Prec@5 14.844 (15.814)
Epoch: [9][6610/7045]	Time 0.353 (0.242)	Data 0.302 (0.179)	Loss 5.0113 (5.0186)	Prec@1 6.250 (4.578)	Prec@5 17.578 (15.811)
Epoch: [9][6620/7045]	Time 0.163 (0.242)	Data 0.111 (0.179)	Loss 4.9832 (5.0187)	Prec@1 3.125 (4.577)	Prec@5 17.578 (15.811)
Epoch: [9][6630/7045]	Time 0.341 (0.242)	Data 0.291 (0.179)	Loss 5.0760 (5.0187)	Prec@1 2.734 (4.576)	Prec@5 15.625 (15.810)
Epoch: [9][6640/7045]	Time 0.145 (0.242)	Data 0.094 (0.179)	Loss 4.9479 (5.0187)	Prec@1 5.859 (4.577)	Prec@5 18.750 (15.810)
Epoch: [9][6650/7045]	Time 0.374 (0.242)	Data 0.324 (0.179)	Loss 5.0332 (5.0187)	Prec@1 5.469 (4.577)	Prec@5 15.625 (15.810)
Epoch: [9][6660/7045]	Time 0.167 (0.242)	Data 0.116 (0.179)	Loss 4.9584 (5.0187)	Prec@1 3.516 (4.578)	Prec@5 17.578 (15.811)
Epoch: [9][6670/7045]	Time 0.640 (0.242)	Data 0.583 (0.179)	Loss 5.0976 (5.0188)	Prec@1 6.250 (4.577)	Prec@5 14.453 (15.810)
Epoch: [9][6680/7045]	Time 0.102 (0.242)	Data 0.001 (0.179)	Loss 4.8789 (5.0188)	Prec@1 5.859 (4.577)	Prec@5 22.266 (15.811)
Epoch: [9][6690/7045]	Time 0.635 (0.242)	Data 0.584 (0.179)	Loss 4.9362 (5.0187)	Prec@1 4.297 (4.577)	Prec@5 16.016 (15.814)
Epoch: [9][6700/7045]	Time 0.102 (0.242)	Data 0.001 (0.179)	Loss 5.0721 (5.0187)	Prec@1 3.125 (4.577)	Prec@5 16.406 (15.813)
Epoch: [9][6710/7045]	Time 0.369 (0.242)	Data 0.318 (0.179)	Loss 5.0218 (5.0187)	Prec@1 4.297 (4.576)	Prec@5 15.234 (15.813)
Epoch: [9][6720/7045]	Time 0.102 (0.242)	Data 0.001 (0.179)	Loss 5.0879 (5.0188)	Prec@1 2.344 (4.575)	Prec@5 12.891 (15.811)
Epoch: [9][6730/7045]	Time 0.108 (0.242)	Data 0.004 (0.179)	Loss 5.0850 (5.0188)	Prec@1 4.297 (4.576)	Prec@5 15.625 (15.810)
Epoch: [9][6740/7045]	Time 0.101 (0.242)	Data 0.002 (0.179)	Loss 5.0563 (5.0188)	Prec@1 2.344 (4.575)	Prec@5 14.453 (15.808)
Epoch: [9][6750/7045]	Time 0.107 (0.242)	Data 0.055 (0.179)	Loss 5.1904 (5.0188)	Prec@1 4.297 (4.575)	Prec@5 16.406 (15.810)
Epoch: [9][6760/7045]	Time 0.160 (0.242)	Data 0.109 (0.179)	Loss 5.0349 (5.0188)	Prec@1 5.859 (4.576)	Prec@5 15.234 (15.809)
Epoch: [9][6770/7045]	Time 0.141 (0.242)	Data 0.090 (0.179)	Loss 5.0490 (5.0188)	Prec@1 4.297 (4.575)	Prec@5 17.969 (15.811)
Epoch: [9][6780/7045]	Time 0.463 (0.242)	Data 0.411 (0.179)	Loss 5.0995 (5.0188)	Prec@1 3.125 (4.575)	Prec@5 13.281 (15.810)
Epoch: [9][6790/7045]	Time 0.108 (0.242)	Data 0.054 (0.179)	Loss 5.1027 (5.0188)	Prec@1 5.469 (4.575)	Prec@5 14.453 (15.810)
Epoch: [9][6800/7045]	Time 0.533 (0.242)	Data 0.482 (0.179)	Loss 5.0008 (5.0189)	Prec@1 5.859 (4.575)	Prec@5 17.188 (15.808)
Epoch: [9][6810/7045]	Time 0.117 (0.242)	Data 0.059 (0.179)	Loss 5.0324 (5.0189)	Prec@1 5.469 (4.576)	Prec@5 18.750 (15.809)
Epoch: [9][6820/7045]	Time 0.515 (0.242)	Data 0.464 (0.179)	Loss 4.9182 (5.0189)	Prec@1 6.641 (4.575)	Prec@5 15.625 (15.808)
Epoch: [9][6830/7045]	Time 0.244 (0.242)	Data 0.185 (0.179)	Loss 5.0431 (5.0191)	Prec@1 4.688 (4.574)	Prec@5 15.625 (15.806)
Epoch: [9][6840/7045]	Time 0.364 (0.242)	Data 0.313 (0.179)	Loss 4.9458 (5.0191)	Prec@1 3.906 (4.573)	Prec@5 14.453 (15.805)
Epoch: [9][6850/7045]	Time 0.335 (0.242)	Data 0.282 (0.179)	Loss 4.9822 (5.0190)	Prec@1 4.688 (4.574)	Prec@5 13.672 (15.805)
Epoch: [9][6860/7045]	Time 0.103 (0.242)	Data 0.051 (0.179)	Loss 5.1763 (5.0191)	Prec@1 3.906 (4.574)	Prec@5 13.281 (15.804)
Epoch: [9][6870/7045]	Time 0.302 (0.242)	Data 0.251 (0.179)	Loss 4.9744 (5.0191)	Prec@1 3.516 (4.573)	Prec@5 15.234 (15.803)
Epoch: [9][6880/7045]	Time 0.133 (0.242)	Data 0.082 (0.179)	Loss 5.1655 (5.0191)	Prec@1 4.297 (4.573)	Prec@5 15.234 (15.803)
Epoch: [9][6890/7045]	Time 0.267 (0.242)	Data 0.215 (0.179)	Loss 4.9509 (5.0192)	Prec@1 5.469 (4.574)	Prec@5 17.188 (15.803)
Epoch: [9][6900/7045]	Time 0.291 (0.242)	Data 0.234 (0.179)	Loss 4.8631 (5.0191)	Prec@1 7.031 (4.575)	Prec@5 21.875 (15.804)
Epoch: [9][6910/7045]	Time 0.155 (0.242)	Data 0.104 (0.179)	Loss 5.1168 (5.0191)	Prec@1 6.250 (4.575)	Prec@5 13.672 (15.804)
Epoch: [9][6920/7045]	Time 0.351 (0.242)	Data 0.300 (0.179)	Loss 5.0684 (5.0192)	Prec@1 3.125 (4.575)	Prec@5 16.406 (15.805)
Epoch: [9][6930/7045]	Time 0.105 (0.242)	Data 0.053 (0.179)	Loss 4.9562 (5.0192)	Prec@1 4.297 (4.574)	Prec@5 14.062 (15.803)
Epoch: [9][6940/7045]	Time 0.248 (0.242)	Data 0.197 (0.179)	Loss 4.9205 (5.0191)	Prec@1 5.078 (4.575)	Prec@5 19.922 (15.804)
Epoch: [9][6950/7045]	Time 0.298 (0.242)	Data 0.240 (0.179)	Loss 5.1808 (5.0191)	Prec@1 5.469 (4.576)	Prec@5 14.062 (15.806)
Epoch: [9][6960/7045]	Time 0.325 (0.242)	Data 0.272 (0.179)	Loss 5.0627 (5.0191)	Prec@1 4.688 (4.576)	Prec@5 17.578 (15.806)
Epoch: [9][6970/7045]	Time 0.256 (0.242)	Data 0.205 (0.179)	Loss 5.0350 (5.0190)	Prec@1 5.859 (4.577)	Prec@5 17.578 (15.808)
Epoch: [9][6980/7045]	Time 0.249 (0.242)	Data 0.198 (0.179)	Loss 4.9434 (5.0189)	Prec@1 3.906 (4.576)	Prec@5 13.281 (15.810)
Epoch: [9][6990/7045]	Time 0.208 (0.242)	Data 0.157 (0.179)	Loss 5.0373 (5.0190)	Prec@1 2.734 (4.575)	Prec@5 13.672 (15.808)
Epoch: [9][7000/7045]	Time 0.269 (0.242)	Data 0.218 (0.179)	Loss 5.1229 (5.0191)	Prec@1 4.688 (4.576)	Prec@5 15.625 (15.807)
Epoch: [9][7010/7045]	Time 0.187 (0.242)	Data 0.137 (0.179)	Loss 5.0800 (5.0191)	Prec@1 3.906 (4.576)	Prec@5 16.406 (15.807)
Epoch: [9][7020/7045]	Time 0.292 (0.242)	Data 0.241 (0.179)	Loss 4.9339 (5.0191)	Prec@1 5.469 (4.576)	Prec@5 18.750 (15.807)
Epoch: [9][7030/7045]	Time 0.186 (0.242)	Data 0.135 (0.179)	Loss 4.9699 (5.0192)	Prec@1 4.297 (4.576)	Prec@5 16.406 (15.805)
Epoch: [9][7040/7045]	Time 0.272 (0.242)	Data 0.220 (0.179)	Loss 4.9621 (5.0192)	Prec@1 5.469 (4.577)	Prec@5 16.797 (15.805)
Test: [0/143]	Time 1.088 (1.088)	Loss 4.7998 (4.7998)	Prec@1 6.641 (6.641)	Prec@5 25.781 (25.781)
Test: [10/143]	Time 0.055 (0.231)	Loss 4.5528 (4.8255)	Prec@1 7.031 (4.190)	Prec@5 35.156 (20.845)
Test: [20/143]	Time 0.172 (0.214)	Loss 5.0943 (4.7831)	Prec@1 2.344 (5.469)	Prec@5 11.719 (21.856)
Test: [30/143]	Time 0.048 (0.199)	Loss 4.8323 (4.7915)	Prec@1 10.156 (6.011)	Prec@5 24.219 (21.623)
Test: [40/143]	Time 0.058 (0.196)	Loss 4.9938 (4.7838)	Prec@1 0.391 (6.374)	Prec@5 3.906 (21.341)
Test: [50/143]	Time 0.176 (0.189)	Loss 4.7811 (4.8042)	Prec@1 3.906 (5.905)	Prec@5 25.391 (20.619)
Test: [60/143]	Time 0.058 (0.186)	Loss 5.1571 (4.7773)	Prec@1 0.000 (6.378)	Prec@5 7.422 (21.728)
Test: [70/143]	Time 0.489 (0.189)	Loss 4.8309 (4.7817)	Prec@1 8.594 (6.377)	Prec@5 20.312 (21.721)
Test: [80/143]	Time 0.171 (0.186)	Loss 4.8067 (4.7909)	Prec@1 5.078 (6.255)	Prec@5 19.531 (21.345)
Test: [90/143]	Time 0.261 (0.184)	Loss 5.0437 (4.7963)	Prec@1 1.953 (6.203)	Prec@5 11.328 (21.055)
Test: [100/143]	Time 0.186 (0.182)	Loss 4.3485 (4.7937)	Prec@1 17.188 (6.204)	Prec@5 45.312 (21.163)
Test: [110/143]	Time 0.062 (0.183)	Loss 4.8948 (4.7959)	Prec@1 3.906 (6.254)	Prec@5 22.266 (21.206)
Test: [120/143]	Time 0.049 (0.181)	Loss 4.6227 (4.7880)	Prec@1 8.594 (6.457)	Prec@5 30.078 (21.539)
Test: [130/143]	Time 0.058 (0.181)	Loss 4.7947 (4.7880)	Prec@1 11.328 (6.509)	Prec@5 25.391 (21.589)
Test: [140/143]	Time 0.326 (0.181)	Loss 5.3885 (4.8032)	Prec@1 0.000 (6.353)	Prec@5 2.344 (21.036)
 * Prec@1 6.378 Prec@5 21.093
Epoch: [10][0/7045]	Time 2.402 (2.402)	Data 2.347 (2.347)	Loss 5.0323 (5.0323)	Prec@1 5.859 (5.859)	Prec@5 16.406 (16.406)
Epoch: [10][10/7045]	Time 0.102 (0.409)	Data 0.007 (0.334)	Loss 5.0419 (5.0001)	Prec@1 4.297 (5.433)	Prec@5 16.797 (16.371)
Epoch: [10][20/7045]	Time 0.275 (0.346)	Data 0.217 (0.279)	Loss 5.1628 (5.0292)	Prec@1 5.078 (5.134)	Prec@5 12.500 (15.978)
Epoch: [10][30/7045]	Time 0.104 (0.313)	Data 0.001 (0.243)	Loss 5.0329 (5.0358)	Prec@1 3.906 (4.940)	Prec@5 16.016 (15.827)
Epoch: [10][40/7045]	Time 0.188 (0.300)	Data 0.131 (0.231)	Loss 5.0486 (5.0321)	Prec@1 6.641 (4.888)	Prec@5 16.406 (15.949)
Epoch: [10][50/7045]	Time 0.476 (0.294)	Data 0.425 (0.224)	Loss 5.0626 (5.0254)	Prec@1 4.688 (4.749)	Prec@5 16.016 (16.000)
Epoch: [10][60/7045]	Time 0.117 (0.283)	Data 0.067 (0.215)	Loss 4.9921 (5.0044)	Prec@1 3.906 (4.835)	Prec@5 16.406 (16.297)
Epoch: [10][70/7045]	Time 0.268 (0.283)	Data 0.217 (0.215)	Loss 4.9643 (5.0027)	Prec@1 3.906 (4.765)	Prec@5 14.062 (16.197)
Epoch: [10][80/7045]	Time 0.524 (0.279)	Data 0.463 (0.211)	Loss 5.1819 (5.0142)	Prec@1 3.125 (4.678)	Prec@5 10.547 (15.910)
Epoch: [10][90/7045]	Time 0.203 (0.274)	Data 0.153 (0.206)	Loss 5.0200 (5.0184)	Prec@1 5.078 (4.653)	Prec@5 15.234 (15.835)
Epoch: [10][100/7045]	Time 0.304 (0.272)	Data 0.253 (0.204)	Loss 4.8150 (5.0156)	Prec@1 7.031 (4.695)	Prec@5 19.141 (15.973)
Epoch: [10][110/7045]	Time 0.102 (0.269)	Data 0.001 (0.202)	Loss 4.9457 (5.0124)	Prec@1 5.078 (4.645)	Prec@5 18.359 (15.949)
Epoch: [10][120/7045]	Time 0.272 (0.269)	Data 0.212 (0.201)	Loss 4.9940 (5.0123)	Prec@1 2.344 (4.639)	Prec@5 11.328 (15.906)
Epoch: [10][130/7045]	Time 0.473 (0.268)	Data 0.422 (0.201)	Loss 5.0574 (5.0117)	Prec@1 5.469 (4.610)	Prec@5 16.016 (15.890)
Epoch: [10][140/7045]	Time 0.104 (0.265)	Data 0.002 (0.198)	Loss 4.9049 (5.0055)	Prec@1 3.516 (4.663)	Prec@5 16.797 (15.977)
Epoch: [10][150/7045]	Time 0.478 (0.268)	Data 0.426 (0.200)	Loss 4.8961 (5.0069)	Prec@1 5.859 (4.698)	Prec@5 16.016 (16.041)
Epoch: [10][160/7045]	Time 0.321 (0.264)	Data 0.270 (0.196)	Loss 5.0723 (5.0094)	Prec@1 5.078 (4.678)	Prec@5 14.062 (15.991)
Epoch: [10][170/7045]	Time 0.189 (0.263)	Data 0.138 (0.196)	Loss 5.1296 (5.0088)	Prec@1 4.297 (4.674)	Prec@5 10.547 (15.986)
Epoch: [10][180/7045]	Time 0.554 (0.263)	Data 0.502 (0.197)	Loss 4.9873 (5.0138)	Prec@1 5.859 (4.670)	Prec@5 20.312 (15.925)
Epoch: [10][190/7045]	Time 0.182 (0.262)	Data 0.132 (0.195)	Loss 5.0057 (5.0102)	Prec@1 5.859 (4.663)	Prec@5 14.453 (15.944)
Epoch: [10][200/7045]	Time 0.404 (0.262)	Data 0.354 (0.196)	Loss 5.0233 (5.0102)	Prec@1 2.344 (4.643)	Prec@5 14.062 (15.918)
Epoch: [10][210/7045]	Time 0.104 (0.260)	Data 0.001 (0.194)	Loss 5.0031 (5.0096)	Prec@1 4.688 (4.636)	Prec@5 14.844 (15.921)
Epoch: [10][220/7045]	Time 0.112 (0.260)	Data 0.060 (0.194)	Loss 5.0112 (5.0094)	Prec@1 5.078 (4.638)	Prec@5 15.625 (15.922)
Epoch: [10][230/7045]	Time 0.553 (0.260)	Data 0.502 (0.194)	Loss 5.0916 (5.0117)	Prec@1 4.688 (4.625)	Prec@5 14.062 (15.862)
Epoch: [10][240/7045]	Time 0.152 (0.259)	Data 0.102 (0.193)	Loss 4.9418 (5.0125)	Prec@1 4.688 (4.629)	Prec@5 17.578 (15.870)
Epoch: [10][250/7045]	Time 0.446 (0.259)	Data 0.390 (0.193)	Loss 5.2065 (5.0122)	Prec@1 1.953 (4.619)	Prec@5 13.281 (15.899)
Epoch: [10][260/7045]	Time 0.143 (0.257)	Data 0.091 (0.192)	Loss 5.1149 (5.0128)	Prec@1 3.125 (4.614)	Prec@5 15.234 (15.885)
Epoch: [10][270/7045]	Time 0.102 (0.258)	Data 0.006 (0.192)	Loss 4.9580 (5.0134)	Prec@1 3.906 (4.607)	Prec@5 14.453 (15.857)
Epoch: [10][280/7045]	Time 0.105 (0.257)	Data 0.053 (0.191)	Loss 4.9433 (5.0149)	Prec@1 6.641 (4.614)	Prec@5 16.797 (15.835)
Epoch: [10][290/7045]	Time 0.101 (0.257)	Data 0.004 (0.190)	Loss 5.0770 (5.0141)	Prec@1 4.297 (4.619)	Prec@5 13.281 (15.810)
Epoch: [10][300/7045]	Time 0.107 (0.257)	Data 0.004 (0.191)	Loss 5.0203 (5.0141)	Prec@1 5.859 (4.641)	Prec@5 19.922 (15.799)
Epoch: [10][310/7045]	Time 0.102 (0.257)	Data 0.001 (0.190)	Loss 5.1620 (5.0131)	Prec@1 2.344 (4.636)	Prec@5 10.547 (15.812)
Epoch: [10][320/7045]	Time 0.108 (0.257)	Data 0.007 (0.189)	Loss 5.1806 (5.0157)	Prec@1 3.516 (4.613)	Prec@5 12.891 (15.787)
Epoch: [10][330/7045]	Time 0.100 (0.256)	Data 0.001 (0.188)	Loss 4.9361 (5.0150)	Prec@1 5.859 (4.612)	Prec@5 17.969 (15.808)
Epoch: [10][340/7045]	Time 0.157 (0.256)	Data 0.104 (0.188)	Loss 5.0100 (5.0152)	Prec@1 4.297 (4.613)	Prec@5 17.188 (15.832)
Epoch: [10][350/7045]	Time 0.552 (0.256)	Data 0.500 (0.189)	Loss 5.0376 (5.0155)	Prec@1 4.688 (4.598)	Prec@5 13.672 (15.815)
Epoch: [10][360/7045]	Time 0.101 (0.255)	Data 0.001 (0.188)	Loss 4.9789 (5.0145)	Prec@1 5.859 (4.596)	Prec@5 16.797 (15.808)
Epoch: [10][370/7045]	Time 0.350 (0.255)	Data 0.297 (0.188)	Loss 5.0869 (5.0143)	Prec@1 3.125 (4.598)	Prec@5 14.453 (15.813)
Epoch: [10][380/7045]	Time 0.263 (0.255)	Data 0.211 (0.188)	Loss 4.9729 (5.0136)	Prec@1 2.734 (4.588)	Prec@5 12.891 (15.799)
Epoch: [10][390/7045]	Time 0.107 (0.255)	Data 0.048 (0.188)	Loss 5.0384 (5.0129)	Prec@1 3.906 (4.608)	Prec@5 16.797 (15.845)
Epoch: [10][400/7045]	Time 0.146 (0.254)	Data 0.095 (0.188)	Loss 5.0415 (5.0119)	Prec@1 3.516 (4.605)	Prec@5 15.625 (15.876)
Epoch: [10][410/7045]	Time 0.108 (0.254)	Data 0.055 (0.188)	Loss 5.1020 (5.0115)	Prec@1 3.906 (4.609)	Prec@5 15.234 (15.889)
Epoch: [10][420/7045]	Time 0.166 (0.253)	Data 0.114 (0.187)	Loss 4.9892 (5.0126)	Prec@1 3.906 (4.596)	Prec@5 18.359 (15.854)
Epoch: [10][430/7045]	Time 0.101 (0.254)	Data 0.010 (0.188)	Loss 4.9797 (5.0132)	Prec@1 3.516 (4.604)	Prec@5 16.016 (15.872)
Epoch: [10][440/7045]	Time 0.243 (0.253)	Data 0.191 (0.188)	Loss 5.0127 (5.0146)	Prec@1 4.297 (4.590)	Prec@5 14.062 (15.846)
Epoch: [10][450/7045]	Time 0.100 (0.253)	Data 0.001 (0.187)	Loss 4.9803 (5.0146)	Prec@1 3.516 (4.584)	Prec@5 15.234 (15.826)
Epoch: [10][460/7045]	Time 0.715 (0.254)	Data 0.663 (0.188)	Loss 4.8636 (5.0133)	Prec@1 4.297 (4.593)	Prec@5 17.188 (15.835)
Epoch: [10][470/7045]	Time 0.114 (0.253)	Data 0.062 (0.187)	Loss 4.9847 (5.0127)	Prec@1 3.516 (4.600)	Prec@5 13.672 (15.846)
Epoch: [10][480/7045]	Time 0.501 (0.253)	Data 0.443 (0.187)	Loss 5.0577 (5.0134)	Prec@1 2.344 (4.600)	Prec@5 16.016 (15.834)
Epoch: [10][490/7045]	Time 0.277 (0.253)	Data 0.227 (0.187)	Loss 4.9622 (5.0136)	Prec@1 3.906 (4.590)	Prec@5 16.406 (15.813)
Epoch: [10][500/7045]	Time 0.102 (0.253)	Data 0.050 (0.187)	Loss 5.0059 (5.0146)	Prec@1 5.078 (4.578)	Prec@5 15.234 (15.793)
Epoch: [10][510/7045]	Time 0.127 (0.252)	Data 0.075 (0.187)	Loss 4.9216 (5.0148)	Prec@1 7.031 (4.590)	Prec@5 19.141 (15.806)
Epoch: [10][520/7045]	Time 0.112 (0.252)	Data 0.059 (0.187)	Loss 4.8786 (5.0139)	Prec@1 5.469 (4.604)	Prec@5 20.312 (15.839)
Epoch: [10][530/7045]	Time 0.102 (0.252)	Data 0.020 (0.187)	Loss 4.9007 (5.0129)	Prec@1 5.078 (4.606)	Prec@5 16.016 (15.853)
Epoch: [10][540/7045]	Time 0.119 (0.252)	Data 0.068 (0.186)	Loss 4.9213 (5.0121)	Prec@1 4.688 (4.617)	Prec@5 17.188 (15.867)
Epoch: [10][550/7045]	Time 0.113 (0.252)	Data 0.062 (0.187)	Loss 5.1815 (5.0127)	Prec@1 4.688 (4.612)	Prec@5 15.625 (15.870)
Epoch: [10][560/7045]	Time 0.116 (0.252)	Data 0.065 (0.186)	Loss 5.1410 (5.0135)	Prec@1 5.078 (4.612)	Prec@5 16.406 (15.865)
Epoch: [10][570/7045]	Time 0.121 (0.252)	Data 0.063 (0.187)	Loss 5.0284 (5.0130)	Prec@1 3.906 (4.615)	Prec@5 16.406 (15.879)
Epoch: [10][580/7045]	Time 0.556 (0.252)	Data 0.499 (0.187)	Loss 5.1604 (5.0134)	Prec@1 4.297 (4.605)	Prec@5 13.672 (15.876)
Epoch: [10][590/7045]	Time 0.102 (0.252)	Data 0.001 (0.187)	Loss 5.0917 (5.0139)	Prec@1 6.250 (4.602)	Prec@5 20.312 (15.873)
Epoch: [10][600/7045]	Time 0.338 (0.252)	Data 0.281 (0.187)	Loss 5.0980 (5.0147)	Prec@1 3.906 (4.595)	Prec@5 14.844 (15.857)
Epoch: [10][610/7045]	Time 0.461 (0.252)	Data 0.410 (0.187)	Loss 5.1406 (5.0162)	Prec@1 5.859 (4.594)	Prec@5 14.844 (15.850)
Epoch: [10][620/7045]	Time 0.126 (0.252)	Data 0.075 (0.187)	Loss 5.1275 (5.0171)	Prec@1 5.469 (4.581)	Prec@5 11.719 (15.816)
Epoch: [10][630/7045]	Time 0.574 (0.252)	Data 0.522 (0.187)	Loss 5.0085 (5.0180)	Prec@1 4.688 (4.580)	Prec@5 15.234 (15.814)
Epoch: [10][640/7045]	Time 0.108 (0.252)	Data 0.009 (0.186)	Loss 4.9318 (5.0174)	Prec@1 3.906 (4.588)	Prec@5 16.406 (15.830)
Epoch: [10][650/7045]	Time 0.549 (0.252)	Data 0.498 (0.187)	Loss 5.0297 (5.0171)	Prec@1 7.031 (4.594)	Prec@5 17.188 (15.828)
Epoch: [10][660/7045]	Time 0.102 (0.252)	Data 0.001 (0.186)	Loss 4.8790 (5.0167)	Prec@1 4.297 (4.589)	Prec@5 15.625 (15.827)
Epoch: [10][670/7045]	Time 0.212 (0.252)	Data 0.161 (0.187)	Loss 5.0799 (5.0166)	Prec@1 5.469 (4.595)	Prec@5 14.062 (15.826)
Epoch: [10][680/7045]	Time 0.139 (0.251)	Data 0.088 (0.186)	Loss 4.9979 (5.0164)	Prec@1 5.078 (4.599)	Prec@5 17.188 (15.826)
Epoch: [10][690/7045]	Time 0.268 (0.252)	Data 0.217 (0.186)	Loss 5.0589 (5.0153)	Prec@1 3.125 (4.612)	Prec@5 14.062 (15.848)
Epoch: [10][700/7045]	Time 0.399 (0.252)	Data 0.347 (0.186)	Loss 5.1056 (5.0150)	Prec@1 5.859 (4.604)	Prec@5 14.453 (15.852)
Epoch: [10][710/7045]	Time 0.107 (0.251)	Data 0.054 (0.186)	Loss 4.9068 (5.0146)	Prec@1 6.250 (4.602)	Prec@5 14.844 (15.847)
Epoch: [10][720/7045]	Time 0.135 (0.252)	Data 0.082 (0.187)	Loss 5.1544 (5.0150)	Prec@1 4.297 (4.599)	Prec@5 14.453 (15.841)
Epoch: [10][730/7045]	Time 0.111 (0.251)	Data 0.060 (0.186)	Loss 5.1179 (5.0151)	Prec@1 3.125 (4.589)	Prec@5 13.281 (15.819)
Epoch: [10][740/7045]	Time 0.112 (0.252)	Data 0.017 (0.187)	Loss 4.9202 (5.0146)	Prec@1 4.297 (4.588)	Prec@5 18.359 (15.832)
Epoch: [10][750/7045]	Time 0.160 (0.251)	Data 0.107 (0.186)	Loss 4.9587 (5.0146)	Prec@1 4.688 (4.581)	Prec@5 16.016 (15.818)
Epoch: [10][760/7045]	Time 0.114 (0.251)	Data 0.025 (0.186)	Loss 4.9708 (5.0146)	Prec@1 3.906 (4.583)	Prec@5 15.625 (15.809)
Epoch: [10][770/7045]	Time 0.239 (0.251)	Data 0.186 (0.186)	Loss 4.9056 (5.0146)	Prec@1 6.250 (4.581)	Prec@5 19.922 (15.808)
Epoch: [10][780/7045]	Time 0.107 (0.251)	Data 0.056 (0.186)	Loss 5.0785 (5.0151)	Prec@1 2.734 (4.575)	Prec@5 16.406 (15.807)
Epoch: [10][790/7045]	Time 0.104 (0.251)	Data 0.052 (0.186)	Loss 5.1223 (5.0156)	Prec@1 5.469 (4.572)	Prec@5 16.016 (15.798)
Epoch: [10][800/7045]	Time 0.102 (0.251)	Data 0.001 (0.186)	Loss 5.1634 (5.0159)	Prec@1 3.516 (4.571)	Prec@5 14.453 (15.788)
Epoch: [10][810/7045]	Time 0.211 (0.252)	Data 0.152 (0.187)	Loss 4.9581 (5.0163)	Prec@1 3.906 (4.567)	Prec@5 14.844 (15.782)
Epoch: [10][820/7045]	Time 0.169 (0.251)	Data 0.118 (0.186)	Loss 4.9119 (5.0159)	Prec@1 4.688 (4.577)	Prec@5 18.359 (15.786)
Epoch: [10][830/7045]	Time 0.111 (0.251)	Data 0.001 (0.186)	Loss 4.9429 (5.0153)	Prec@1 5.078 (4.574)	Prec@5 16.016 (15.796)
Epoch: [10][840/7045]	Time 0.558 (0.252)	Data 0.506 (0.186)	Loss 4.9525 (5.0150)	Prec@1 5.859 (4.590)	Prec@5 15.234 (15.804)
Epoch: [10][850/7045]	Time 0.099 (0.251)	Data 0.001 (0.186)	Loss 4.9521 (5.0155)	Prec@1 5.469 (4.588)	Prec@5 15.625 (15.803)
Epoch: [10][860/7045]	Time 0.524 (0.252)	Data 0.473 (0.186)	Loss 5.0267 (5.0160)	Prec@1 3.125 (4.578)	Prec@5 15.625 (15.788)
Epoch: [10][870/7045]	Time 0.195 (0.252)	Data 0.145 (0.186)	Loss 4.9669 (5.0154)	Prec@1 5.469 (4.583)	Prec@5 19.141 (15.798)
Epoch: [10][880/7045]	Time 0.139 (0.251)	Data 0.088 (0.186)	Loss 5.0347 (5.0151)	Prec@1 6.250 (4.586)	Prec@5 17.969 (15.813)
Epoch: [10][890/7045]	Time 0.458 (0.252)	Data 0.408 (0.186)	Loss 4.9978 (5.0150)	Prec@1 7.031 (4.584)	Prec@5 15.234 (15.810)
Epoch: [10][900/7045]	Time 0.204 (0.251)	Data 0.153 (0.186)	Loss 4.9069 (5.0149)	Prec@1 4.297 (4.589)	Prec@5 17.969 (15.821)
Epoch: [10][910/7045]	Time 0.339 (0.251)	Data 0.288 (0.186)	Loss 5.0838 (5.0147)	Prec@1 5.078 (4.593)	Prec@5 17.578 (15.834)
Epoch: [10][920/7045]	Time 0.315 (0.251)	Data 0.259 (0.186)	Loss 4.9339 (5.0147)	Prec@1 3.516 (4.595)	Prec@5 14.844 (15.833)
Epoch: [10][930/7045]	Time 0.435 (0.251)	Data 0.384 (0.186)	Loss 5.0033 (5.0141)	Prec@1 4.688 (4.599)	Prec@5 16.016 (15.839)
Epoch: [10][940/7045]	Time 0.127 (0.251)	Data 0.075 (0.186)	Loss 4.9674 (5.0143)	Prec@1 4.688 (4.609)	Prec@5 16.406 (15.843)
Epoch: [10][950/7045]	Time 0.541 (0.251)	Data 0.490 (0.186)	Loss 5.0990 (5.0143)	Prec@1 3.125 (4.613)	Prec@5 11.328 (15.850)
Epoch: [10][960/7045]	Time 0.102 (0.251)	Data 0.006 (0.186)	Loss 4.9787 (5.0142)	Prec@1 7.422 (4.622)	Prec@5 18.750 (15.862)
Epoch: [10][970/7045]	Time 0.675 (0.251)	Data 0.623 (0.186)	Loss 5.0564 (5.0142)	Prec@1 5.078 (4.626)	Prec@5 13.281 (15.857)
Epoch: [10][980/7045]	Time 0.101 (0.251)	Data 0.001 (0.186)	Loss 5.0860 (5.0147)	Prec@1 6.250 (4.621)	Prec@5 16.016 (15.848)
Epoch: [10][990/7045]	Time 0.648 (0.251)	Data 0.595 (0.185)	Loss 4.9986 (5.0159)	Prec@1 7.031 (4.614)	Prec@5 18.359 (15.830)
Epoch: [10][1000/7045]	Time 0.102 (0.251)	Data 0.014 (0.185)	Loss 5.0321 (5.0167)	Prec@1 4.688 (4.611)	Prec@5 16.797 (15.814)
Epoch: [10][1010/7045]	Time 0.802 (0.251)	Data 0.751 (0.185)	Loss 5.1431 (5.0180)	Prec@1 3.906 (4.606)	Prec@5 11.719 (15.793)
Epoch: [10][1020/7045]	Time 0.202 (0.251)	Data 0.152 (0.185)	Loss 4.8877 (5.0182)	Prec@1 3.516 (4.601)	Prec@5 19.922 (15.793)
Epoch: [10][1030/7045]	Time 0.743 (0.251)	Data 0.691 (0.185)	Loss 5.1714 (5.0188)	Prec@1 3.125 (4.590)	Prec@5 15.234 (15.781)
Epoch: [10][1040/7045]	Time 0.106 (0.250)	Data 0.053 (0.184)	Loss 5.0281 (5.0194)	Prec@1 3.906 (4.595)	Prec@5 14.062 (15.776)
Epoch: [10][1050/7045]	Time 0.334 (0.251)	Data 0.282 (0.184)	Loss 5.0851 (5.0197)	Prec@1 7.422 (4.594)	Prec@5 17.188 (15.765)
Epoch: [10][1060/7045]	Time 0.258 (0.251)	Data 0.206 (0.185)	Loss 5.0318 (5.0198)	Prec@1 5.078 (4.595)	Prec@5 16.016 (15.763)
Epoch: [10][1070/7045]	Time 0.102 (0.250)	Data 0.004 (0.185)	Loss 5.1397 (5.0201)	Prec@1 2.344 (4.589)	Prec@5 12.109 (15.755)
Epoch: [10][1080/7045]	Time 0.659 (0.251)	Data 0.601 (0.185)	Loss 4.9116 (5.0200)	Prec@1 7.031 (4.587)	Prec@5 17.578 (15.761)
Epoch: [10][1090/7045]	Time 0.104 (0.250)	Data 0.052 (0.185)	Loss 4.9664 (5.0195)	Prec@1 5.078 (4.589)	Prec@5 15.234 (15.765)
Epoch: [10][1100/7045]	Time 0.442 (0.251)	Data 0.391 (0.185)	Loss 4.9946 (5.0191)	Prec@1 5.469 (4.601)	Prec@5 18.359 (15.777)
Epoch: [10][1110/7045]	Time 0.120 (0.251)	Data 0.068 (0.185)	Loss 4.9734 (5.0186)	Prec@1 4.688 (4.607)	Prec@5 15.234 (15.787)
Epoch: [10][1120/7045]	Time 0.258 (0.250)	Data 0.206 (0.185)	Loss 5.2060 (5.0184)	Prec@1 4.297 (4.610)	Prec@5 11.719 (15.795)
Epoch: [10][1130/7045]	Time 0.101 (0.251)	Data 0.001 (0.185)	Loss 5.0863 (5.0183)	Prec@1 5.078 (4.609)	Prec@5 15.625 (15.800)
Epoch: [10][1140/7045]	Time 0.267 (0.251)	Data 0.213 (0.185)	Loss 5.1856 (5.0193)	Prec@1 4.297 (4.604)	Prec@5 12.891 (15.787)
Epoch: [10][1150/7045]	Time 0.103 (0.251)	Data 0.001 (0.185)	Loss 4.9690 (5.0198)	Prec@1 3.516 (4.602)	Prec@5 15.625 (15.774)
Epoch: [10][1160/7045]	Time 0.339 (0.251)	Data 0.289 (0.185)	Loss 4.9558 (5.0198)	Prec@1 4.688 (4.602)	Prec@5 17.969 (15.779)
Epoch: [10][1170/7045]	Time 0.527 (0.251)	Data 0.476 (0.185)	Loss 5.0754 (5.0196)	Prec@1 3.906 (4.604)	Prec@5 10.938 (15.781)
Epoch: [10][1180/7045]	Time 0.101 (0.251)	Data 0.005 (0.185)	Loss 5.0631 (5.0200)	Prec@1 3.516 (4.599)	Prec@5 16.016 (15.780)
Epoch: [10][1190/7045]	Time 0.500 (0.251)	Data 0.442 (0.185)	Loss 4.9219 (5.0203)	Prec@1 5.078 (4.597)	Prec@5 17.969 (15.776)
Epoch: [10][1200/7045]	Time 0.152 (0.250)	Data 0.101 (0.185)	Loss 5.0515 (5.0202)	Prec@1 4.297 (4.597)	Prec@5 13.281 (15.777)
Epoch: [10][1210/7045]	Time 0.100 (0.251)	Data 0.049 (0.185)	Loss 5.1757 (5.0206)	Prec@1 4.688 (4.597)	Prec@5 17.188 (15.780)
Epoch: [10][1220/7045]	Time 0.102 (0.250)	Data 0.001 (0.185)	Loss 5.0515 (5.0209)	Prec@1 5.078 (4.588)	Prec@5 17.578 (15.769)
Epoch: [10][1230/7045]	Time 0.101 (0.251)	Data 0.001 (0.185)	Loss 5.0449 (5.0205)	Prec@1 1.953 (4.590)	Prec@5 13.672 (15.776)
Epoch: [10][1240/7045]	Time 0.231 (0.251)	Data 0.179 (0.185)	Loss 5.0523 (5.0204)	Prec@1 5.078 (4.591)	Prec@5 16.016 (15.780)
Epoch: [10][1250/7045]	Time 0.164 (0.250)	Data 0.114 (0.185)	Loss 5.1561 (5.0205)	Prec@1 3.516 (4.587)	Prec@5 12.500 (15.777)
Epoch: [10][1260/7045]	Time 0.600 (0.251)	Data 0.549 (0.185)	Loss 5.0403 (5.0208)	Prec@1 5.078 (4.590)	Prec@5 16.797 (15.773)
Epoch: [10][1270/7045]	Time 0.277 (0.251)	Data 0.224 (0.185)	Loss 5.1179 (5.0215)	Prec@1 3.125 (4.582)	Prec@5 15.234 (15.754)
Epoch: [10][1280/7045]	Time 0.241 (0.250)	Data 0.191 (0.185)	Loss 4.9493 (5.0217)	Prec@1 6.250 (4.586)	Prec@5 16.797 (15.752)
Epoch: [10][1290/7045]	Time 0.429 (0.251)	Data 0.377 (0.185)	Loss 5.1624 (5.0217)	Prec@1 3.125 (4.579)	Prec@5 13.281 (15.745)
Epoch: [10][1300/7045]	Time 0.199 (0.250)	Data 0.148 (0.185)	Loss 4.7749 (5.0212)	Prec@1 7.812 (4.581)	Prec@5 19.531 (15.749)
Epoch: [10][1310/7045]	Time 0.245 (0.250)	Data 0.195 (0.185)	Loss 4.9551 (5.0210)	Prec@1 4.297 (4.581)	Prec@5 15.234 (15.754)
Epoch: [10][1320/7045]	Time 0.102 (0.250)	Data 0.005 (0.185)	Loss 5.1270 (5.0209)	Prec@1 4.297 (4.582)	Prec@5 16.406 (15.754)
Epoch: [10][1330/7045]	Time 0.203 (0.250)	Data 0.151 (0.185)	Loss 4.9721 (5.0210)	Prec@1 5.469 (4.580)	Prec@5 19.141 (15.754)
Epoch: [10][1340/7045]	Time 0.101 (0.250)	Data 0.001 (0.185)	Loss 5.1993 (5.0209)	Prec@1 3.906 (4.583)	Prec@5 11.328 (15.753)
Epoch: [10][1350/7045]	Time 0.226 (0.250)	Data 0.169 (0.185)	Loss 5.0592 (5.0209)	Prec@1 3.516 (4.576)	Prec@5 17.188 (15.756)
Epoch: [10][1360/7045]	Time 0.202 (0.250)	Data 0.151 (0.185)	Loss 5.0062 (5.0209)	Prec@1 5.859 (4.578)	Prec@5 18.750 (15.761)
Epoch: [10][1370/7045]	Time 0.247 (0.250)	Data 0.196 (0.185)	Loss 5.0420 (5.0208)	Prec@1 5.469 (4.576)	Prec@5 16.406 (15.763)
Epoch: [10][1380/7045]	Time 0.557 (0.251)	Data 0.505 (0.185)	Loss 5.0303 (5.0207)	Prec@1 5.859 (4.578)	Prec@5 14.453 (15.765)
Epoch: [10][1390/7045]	Time 0.102 (0.250)	Data 0.001 (0.185)	Loss 5.1136 (5.0214)	Prec@1 4.297 (4.573)	Prec@5 12.500 (15.756)
Epoch: [10][1400/7045]	Time 0.530 (0.251)	Data 0.478 (0.185)	Loss 5.0735 (5.0218)	Prec@1 4.297 (4.571)	Prec@5 13.281 (15.743)
Epoch: [10][1410/7045]	Time 0.319 (0.251)	Data 0.267 (0.185)	Loss 5.0443 (5.0218)	Prec@1 3.516 (4.567)	Prec@5 12.891 (15.737)
Epoch: [10][1420/7045]	Time 0.447 (0.251)	Data 0.397 (0.185)	Loss 5.0289 (5.0219)	Prec@1 6.641 (4.568)	Prec@5 15.625 (15.733)
Epoch: [10][1430/7045]	Time 0.343 (0.251)	Data 0.291 (0.185)	Loss 5.0316 (5.0219)	Prec@1 5.859 (4.565)	Prec@5 16.016 (15.733)
Epoch: [10][1440/7045]	Time 0.114 (0.251)	Data 0.063 (0.185)	Loss 5.0717 (5.0219)	Prec@1 4.297 (4.560)	Prec@5 17.188 (15.738)
Epoch: [10][1450/7045]	Time 0.106 (0.250)	Data 0.052 (0.185)	Loss 4.9745 (5.0220)	Prec@1 3.125 (4.557)	Prec@5 13.281 (15.733)
Epoch: [10][1460/7045]	Time 0.501 (0.251)	Data 0.450 (0.185)	Loss 4.9937 (5.0215)	Prec@1 3.906 (4.559)	Prec@5 12.891 (15.739)
Epoch: [10][1470/7045]	Time 0.244 (0.251)	Data 0.192 (0.185)	Loss 4.9736 (5.0216)	Prec@1 3.125 (4.559)	Prec@5 10.156 (15.738)
Epoch: [10][1480/7045]	Time 0.347 (0.251)	Data 0.295 (0.185)	Loss 5.1621 (5.0217)	Prec@1 3.906 (4.558)	Prec@5 12.109 (15.733)
Epoch: [10][1490/7045]	Time 0.166 (0.250)	Data 0.114 (0.185)	Loss 4.9818 (5.0215)	Prec@1 7.812 (4.558)	Prec@5 17.969 (15.732)
Epoch: [10][1500/7045]	Time 0.267 (0.250)	Data 0.217 (0.185)	Loss 4.9336 (5.0214)	Prec@1 5.078 (4.558)	Prec@5 18.359 (15.734)
Epoch: [10][1510/7045]	Time 0.160 (0.250)	Data 0.107 (0.185)	Loss 5.1278 (5.0216)	Prec@1 5.859 (4.562)	Prec@5 15.234 (15.734)
Epoch: [10][1520/7045]	Time 0.304 (0.250)	Data 0.252 (0.186)	Loss 5.0091 (5.0218)	Prec@1 5.469 (4.560)	Prec@5 16.797 (15.734)
Epoch: [10][1530/7045]	Time 0.157 (0.250)	Data 0.106 (0.186)	Loss 5.1197 (5.0220)	Prec@1 5.859 (4.558)	Prec@5 16.797 (15.736)
Epoch: [10][1540/7045]	Time 0.120 (0.250)	Data 0.069 (0.186)	Loss 5.0205 (5.0222)	Prec@1 4.297 (4.556)	Prec@5 16.406 (15.735)
Epoch: [10][1550/7045]	Time 0.263 (0.250)	Data 0.212 (0.186)	Loss 4.9314 (5.0221)	Prec@1 5.078 (4.555)	Prec@5 19.141 (15.732)
Epoch: [10][1560/7045]	Time 0.292 (0.250)	Data 0.240 (0.186)	Loss 4.9754 (5.0215)	Prec@1 5.078 (4.563)	Prec@5 16.406 (15.747)
Epoch: [10][1570/7045]	Time 0.349 (0.250)	Data 0.299 (0.186)	Loss 4.9378 (5.0212)	Prec@1 7.422 (4.562)	Prec@5 16.016 (15.756)
Epoch: [10][1580/7045]	Time 0.311 (0.250)	Data 0.260 (0.186)	Loss 4.9864 (5.0211)	Prec@1 6.641 (4.560)	Prec@5 20.312 (15.762)
Epoch: [10][1590/7045]	Time 0.160 (0.250)	Data 0.109 (0.186)	Loss 5.0368 (5.0212)	Prec@1 5.469 (4.565)	Prec@5 17.188 (15.765)
Epoch: [10][1600/7045]	Time 0.105 (0.250)	Data 0.053 (0.186)	Loss 5.0055 (5.0214)	Prec@1 5.078 (4.566)	Prec@5 17.969 (15.760)
Epoch: [10][1610/7045]	Time 0.186 (0.250)	Data 0.134 (0.186)	Loss 4.9977 (5.0217)	Prec@1 4.688 (4.565)	Prec@5 16.797 (15.755)
Epoch: [10][1620/7045]	Time 0.352 (0.250)	Data 0.302 (0.186)	Loss 4.8002 (5.0214)	Prec@1 4.297 (4.567)	Prec@5 20.312 (15.767)
Epoch: [10][1630/7045]	Time 0.115 (0.250)	Data 0.063 (0.186)	Loss 4.9990 (5.0212)	Prec@1 4.297 (4.568)	Prec@5 13.672 (15.763)
Epoch: [10][1640/7045]	Time 0.538 (0.250)	Data 0.487 (0.186)	Loss 5.0604 (5.0211)	Prec@1 4.297 (4.572)	Prec@5 14.453 (15.769)
Epoch: [10][1650/7045]	Time 0.130 (0.250)	Data 0.070 (0.186)	Loss 4.9067 (5.0210)	Prec@1 7.422 (4.571)	Prec@5 20.703 (15.776)
Epoch: [10][1660/7045]	Time 0.557 (0.250)	Data 0.505 (0.186)	Loss 4.9619 (5.0210)	Prec@1 5.859 (4.574)	Prec@5 21.094 (15.781)
Epoch: [10][1670/7045]	Time 0.117 (0.250)	Data 0.065 (0.186)	Loss 4.9255 (5.0208)	Prec@1 3.906 (4.576)	Prec@5 16.797 (15.787)
Epoch: [10][1680/7045]	Time 0.471 (0.250)	Data 0.410 (0.186)	Loss 4.9753 (5.0208)	Prec@1 6.641 (4.578)	Prec@5 16.797 (15.787)
Epoch: [10][1690/7045]	Time 0.107 (0.250)	Data 0.056 (0.185)	Loss 4.9543 (5.0205)	Prec@1 3.906 (4.576)	Prec@5 14.062 (15.786)
Epoch: [10][1700/7045]	Time 0.181 (0.250)	Data 0.129 (0.186)	Loss 5.0880 (5.0204)	Prec@1 3.516 (4.577)	Prec@5 14.844 (15.788)
Epoch: [10][1710/7045]	Time 0.107 (0.250)	Data 0.055 (0.186)	Loss 5.1413 (5.0202)	Prec@1 3.125 (4.580)	Prec@5 12.891 (15.791)
Epoch: [10][1720/7045]	Time 0.196 (0.250)	Data 0.136 (0.186)	Loss 4.9465 (5.0202)	Prec@1 3.516 (4.578)	Prec@5 17.188 (15.788)
Epoch: [10][1730/7045]	Time 0.391 (0.250)	Data 0.339 (0.186)	Loss 4.9498 (5.0201)	Prec@1 5.469 (4.579)	Prec@5 19.531 (15.795)
Epoch: [10][1740/7045]	Time 0.129 (0.250)	Data 0.077 (0.186)	Loss 5.0383 (5.0204)	Prec@1 5.078 (4.578)	Prec@5 19.531 (15.797)
Epoch: [10][1750/7045]	Time 0.590 (0.250)	Data 0.539 (0.186)	Loss 4.9174 (5.0201)	Prec@1 7.031 (4.576)	Prec@5 17.969 (15.796)
Epoch: [10][1760/7045]	Time 0.101 (0.250)	Data 0.011 (0.186)	Loss 5.0068 (5.0200)	Prec@1 4.688 (4.576)	Prec@5 16.406 (15.800)
Epoch: [10][1770/7045]	Time 0.343 (0.250)	Data 0.285 (0.186)	Loss 4.9180 (5.0200)	Prec@1 5.078 (4.572)	Prec@5 13.672 (15.799)
Epoch: [10][1780/7045]	Time 0.356 (0.250)	Data 0.305 (0.186)	Loss 5.0090 (5.0199)	Prec@1 1.953 (4.571)	Prec@5 14.844 (15.797)
Epoch: [10][1790/7045]	Time 0.102 (0.250)	Data 0.049 (0.186)	Loss 5.0367 (5.0201)	Prec@1 7.031 (4.575)	Prec@5 19.922 (15.800)
Epoch: [10][1800/7045]	Time 0.164 (0.250)	Data 0.114 (0.185)	Loss 5.1019 (5.0200)	Prec@1 5.078 (4.576)	Prec@5 10.938 (15.795)
Epoch: [10][1810/7045]	Time 0.103 (0.250)	Data 0.001 (0.186)	Loss 4.9076 (5.0198)	Prec@1 2.344 (4.574)	Prec@5 15.625 (15.794)
Epoch: [10][1820/7045]	Time 0.101 (0.250)	Data 0.049 (0.185)	Loss 4.9417 (5.0194)	Prec@1 5.859 (4.576)	Prec@5 13.672 (15.797)
Epoch: [10][1830/7045]	Time 0.109 (0.250)	Data 0.012 (0.186)	Loss 4.9178 (5.0191)	Prec@1 3.125 (4.576)	Prec@5 15.625 (15.802)
Epoch: [10][1840/7045]	Time 0.101 (0.250)	Data 0.001 (0.185)	Loss 4.9833 (5.0190)	Prec@1 5.859 (4.576)	Prec@5 15.234 (15.799)
Epoch: [10][1850/7045]	Time 0.101 (0.250)	Data 0.014 (0.185)	Loss 4.9325 (5.0187)	Prec@1 4.688 (4.577)	Prec@5 16.797 (15.801)
Epoch: [10][1860/7045]	Time 0.102 (0.250)	Data 0.048 (0.185)	Loss 4.9902 (5.0187)	Prec@1 1.172 (4.577)	Prec@5 15.625 (15.804)
Epoch: [10][1870/7045]	Time 0.288 (0.250)	Data 0.236 (0.185)	Loss 4.9931 (5.0189)	Prec@1 3.906 (4.576)	Prec@5 14.453 (15.802)
Epoch: [10][1880/7045]	Time 0.101 (0.250)	Data 0.001 (0.185)	Loss 5.1015 (5.0190)	Prec@1 3.906 (4.572)	Prec@5 15.234 (15.797)
Epoch: [10][1890/7045]	Time 0.389 (0.250)	Data 0.328 (0.185)	Loss 5.1470 (5.0190)	Prec@1 4.297 (4.573)	Prec@5 16.016 (15.807)
Epoch: [10][1900/7045]	Time 0.289 (0.250)	Data 0.238 (0.185)	Loss 4.8515 (5.0184)	Prec@1 7.031 (4.579)	Prec@5 16.797 (15.818)
Epoch: [10][1910/7045]	Time 0.377 (0.250)	Data 0.325 (0.185)	Loss 5.1040 (5.0185)	Prec@1 3.125 (4.578)	Prec@5 16.016 (15.819)
Epoch: [10][1920/7045]	Time 0.347 (0.250)	Data 0.295 (0.185)	Loss 4.9969 (5.0187)	Prec@1 2.734 (4.574)	Prec@5 12.500 (15.814)
Epoch: [10][1930/7045]	Time 0.199 (0.250)	Data 0.147 (0.185)	Loss 5.0235 (5.0185)	Prec@1 4.297 (4.576)	Prec@5 13.672 (15.818)
Epoch: [10][1940/7045]	Time 0.292 (0.250)	Data 0.240 (0.185)	Loss 5.0080 (5.0186)	Prec@1 6.250 (4.577)	Prec@5 14.453 (15.821)
Epoch: [10][1950/7045]	Time 0.110 (0.250)	Data 0.001 (0.185)	Loss 5.1503 (5.0187)	Prec@1 3.516 (4.579)	Prec@5 13.281 (15.818)
Epoch: [10][1960/7045]	Time 0.174 (0.250)	Data 0.123 (0.185)	Loss 5.0210 (5.0187)	Prec@1 3.516 (4.575)	Prec@5 15.234 (15.816)
Epoch: [10][1970/7045]	Time 0.391 (0.250)	Data 0.340 (0.185)	Loss 5.0217 (5.0186)	Prec@1 5.078 (4.573)	Prec@5 16.406 (15.810)
Epoch: [10][1980/7045]	Time 0.101 (0.250)	Data 0.001 (0.185)	Loss 4.7280 (5.0180)	Prec@1 4.688 (4.576)	Prec@5 21.484 (15.821)
Epoch: [10][1990/7045]	Time 0.395 (0.250)	Data 0.345 (0.185)	Loss 4.9800 (5.0178)	Prec@1 4.688 (4.577)	Prec@5 14.844 (15.825)
Epoch: [10][2000/7045]	Time 0.102 (0.250)	Data 0.016 (0.185)	Loss 5.0969 (5.0174)	Prec@1 4.688 (4.579)	Prec@5 13.281 (15.830)
Epoch: [10][2010/7045]	Time 0.290 (0.250)	Data 0.237 (0.185)	Loss 4.9581 (5.0175)	Prec@1 3.906 (4.577)	Prec@5 16.016 (15.827)
Epoch: [10][2020/7045]	Time 0.478 (0.250)	Data 0.426 (0.185)	Loss 5.0058 (5.0175)	Prec@1 5.078 (4.574)	Prec@5 17.969 (15.829)
Epoch: [10][2030/7045]	Time 0.102 (0.250)	Data 0.050 (0.185)	Loss 5.1037 (5.0178)	Prec@1 1.953 (4.573)	Prec@5 13.281 (15.819)
Epoch: [10][2040/7045]	Time 0.670 (0.250)	Data 0.619 (0.185)	Loss 4.8512 (5.0181)	Prec@1 6.641 (4.572)	Prec@5 19.531 (15.814)
Epoch: [10][2050/7045]	Time 0.145 (0.250)	Data 0.094 (0.185)	Loss 5.1819 (5.0182)	Prec@1 3.906 (4.575)	Prec@5 13.672 (15.811)
Epoch: [10][2060/7045]	Time 0.391 (0.250)	Data 0.340 (0.185)	Loss 5.0367 (5.0181)	Prec@1 4.688 (4.576)	Prec@5 15.234 (15.817)
Epoch: [10][2070/7045]	Time 0.231 (0.250)	Data 0.181 (0.185)	Loss 4.9903 (5.0180)	Prec@1 4.297 (4.579)	Prec@5 19.141 (15.824)
Epoch: [10][2080/7045]	Time 0.365 (0.250)	Data 0.314 (0.185)	Loss 4.8505 (5.0177)	Prec@1 5.078 (4.580)	Prec@5 14.453 (15.823)
Epoch: [10][2090/7045]	Time 0.409 (0.250)	Data 0.357 (0.185)	Loss 5.1397 (5.0176)	Prec@1 4.688 (4.582)	Prec@5 12.109 (15.820)
Epoch: [10][2100/7045]	Time 0.102 (0.250)	Data 0.011 (0.185)	Loss 4.9811 (5.0175)	Prec@1 4.688 (4.582)	Prec@5 18.359 (15.818)
Epoch: [10][2110/7045]	Time 0.253 (0.250)	Data 0.202 (0.185)	Loss 5.0592 (5.0174)	Prec@1 6.641 (4.585)	Prec@5 17.578 (15.819)
Epoch: [10][2120/7045]	Time 0.281 (0.250)	Data 0.230 (0.185)	Loss 5.0230 (5.0174)	Prec@1 5.859 (4.585)	Prec@5 18.359 (15.819)
Epoch: [10][2130/7045]	Time 0.279 (0.250)	Data 0.228 (0.185)	Loss 5.1227 (5.0175)	Prec@1 3.125 (4.583)	Prec@5 14.062 (15.819)
Epoch: [10][2140/7045]	Time 0.569 (0.250)	Data 0.519 (0.185)	Loss 4.8124 (5.0173)	Prec@1 7.812 (4.587)	Prec@5 23.438 (15.826)
Epoch: [10][2150/7045]	Time 0.286 (0.250)	Data 0.226 (0.185)	Loss 5.0111 (5.0170)	Prec@1 3.125 (4.587)	Prec@5 15.234 (15.833)
Epoch: [10][2160/7045]	Time 0.326 (0.250)	Data 0.275 (0.185)	Loss 4.9948 (5.0171)	Prec@1 2.734 (4.586)	Prec@5 17.188 (15.832)
Epoch: [10][2170/7045]	Time 0.220 (0.250)	Data 0.168 (0.185)	Loss 5.0151 (5.0168)	Prec@1 5.078 (4.587)	Prec@5 15.625 (15.839)
Epoch: [10][2180/7045]	Time 0.397 (0.250)	Data 0.336 (0.186)	Loss 4.9804 (5.0167)	Prec@1 2.344 (4.586)	Prec@5 13.281 (15.840)
Epoch: [10][2190/7045]	Time 0.102 (0.250)	Data 0.048 (0.185)	Loss 4.8937 (5.0164)	Prec@1 3.906 (4.588)	Prec@5 17.969 (15.845)
Epoch: [10][2200/7045]	Time 0.474 (0.250)	Data 0.422 (0.186)	Loss 5.0439 (5.0162)	Prec@1 3.906 (4.587)	Prec@5 13.672 (15.843)
Epoch: [10][2210/7045]	Time 0.102 (0.250)	Data 0.001 (0.185)	Loss 4.9936 (5.0163)	Prec@1 3.906 (4.586)	Prec@5 16.406 (15.841)
Epoch: [10][2220/7045]	Time 0.233 (0.250)	Data 0.183 (0.186)	Loss 4.8908 (5.0162)	Prec@1 5.078 (4.587)	Prec@5 21.875 (15.847)
Epoch: [10][2230/7045]	Time 0.270 (0.250)	Data 0.220 (0.186)	Loss 4.9980 (5.0161)	Prec@1 3.906 (4.588)	Prec@5 16.016 (15.855)
Epoch: [10][2240/7045]	Time 0.278 (0.250)	Data 0.228 (0.186)	Loss 4.9309 (5.0160)	Prec@1 4.688 (4.589)	Prec@5 17.578 (15.857)
Epoch: [10][2250/7045]	Time 0.486 (0.250)	Data 0.429 (0.186)	Loss 5.0868 (5.0159)	Prec@1 6.250 (4.592)	Prec@5 16.797 (15.859)
Epoch: [10][2260/7045]	Time 0.102 (0.250)	Data 0.001 (0.186)	Loss 5.0038 (5.0160)	Prec@1 2.734 (4.588)	Prec@5 16.016 (15.858)
Epoch: [10][2270/7045]	Time 0.113 (0.250)	Data 0.054 (0.186)	Loss 4.9975 (5.0161)	Prec@1 3.125 (4.587)	Prec@5 19.531 (15.860)
Epoch: [10][2280/7045]	Time 0.112 (0.250)	Data 0.060 (0.185)	Loss 4.9506 (5.0159)	Prec@1 4.688 (4.589)	Prec@5 16.406 (15.864)
Epoch: [10][2290/7045]	Time 0.130 (0.250)	Data 0.070 (0.186)	Loss 5.1786 (5.0159)	Prec@1 2.344 (4.592)	Prec@5 10.547 (15.863)
Epoch: [10][2300/7045]	Time 0.116 (0.249)	Data 0.064 (0.185)	Loss 4.8602 (5.0158)	Prec@1 5.859 (4.592)	Prec@5 17.969 (15.866)
Epoch: [10][2310/7045]	Time 0.373 (0.250)	Data 0.321 (0.186)	Loss 5.1028 (5.0159)	Prec@1 2.734 (4.593)	Prec@5 12.109 (15.867)
Epoch: [10][2320/7045]	Time 0.102 (0.249)	Data 0.006 (0.185)	Loss 5.1682 (5.0163)	Prec@1 3.906 (4.589)	Prec@5 14.844 (15.860)
Epoch: [10][2330/7045]	Time 0.339 (0.250)	Data 0.288 (0.186)	Loss 5.0080 (5.0163)	Prec@1 3.125 (4.591)	Prec@5 14.062 (15.862)
Epoch: [10][2340/7045]	Time 0.214 (0.249)	Data 0.163 (0.186)	Loss 5.1056 (5.0161)	Prec@1 3.516 (4.591)	Prec@5 16.406 (15.867)
Epoch: [10][2350/7045]	Time 0.465 (0.250)	Data 0.409 (0.186)	Loss 4.9957 (5.0159)	Prec@1 4.688 (4.592)	Prec@5 16.406 (15.869)
Epoch: [10][2360/7045]	Time 0.319 (0.249)	Data 0.268 (0.186)	Loss 4.9089 (5.0156)	Prec@1 4.688 (4.594)	Prec@5 20.703 (15.875)
Epoch: [10][2370/7045]	Time 0.301 (0.249)	Data 0.250 (0.186)	Loss 5.1892 (5.0156)	Prec@1 5.078 (4.596)	Prec@5 12.891 (15.875)
Epoch: [10][2380/7045]	Time 0.470 (0.249)	Data 0.419 (0.186)	Loss 4.9961 (5.0154)	Prec@1 6.250 (4.598)	Prec@5 18.359 (15.884)
Epoch: [10][2390/7045]	Time 0.227 (0.249)	Data 0.166 (0.185)	Loss 4.9597 (5.0153)	Prec@1 5.469 (4.599)	Prec@5 17.188 (15.887)
Epoch: [10][2400/7045]	Time 0.523 (0.249)	Data 0.472 (0.186)	Loss 4.9925 (5.0153)	Prec@1 2.344 (4.598)	Prec@5 15.625 (15.886)
Epoch: [10][2410/7045]	Time 0.142 (0.249)	Data 0.090 (0.185)	Loss 4.9193 (5.0154)	Prec@1 7.812 (4.596)	Prec@5 18.359 (15.884)
Epoch: [10][2420/7045]	Time 0.467 (0.249)	Data 0.415 (0.185)	Loss 5.0193 (5.0155)	Prec@1 4.688 (4.594)	Prec@5 12.500 (15.880)
Epoch: [10][2430/7045]	Time 0.146 (0.249)	Data 0.095 (0.185)	Loss 4.9473 (5.0154)	Prec@1 3.906 (4.594)	Prec@5 15.625 (15.879)
Epoch: [10][2440/7045]	Time 0.107 (0.249)	Data 0.001 (0.185)	Loss 4.9878 (5.0156)	Prec@1 5.078 (4.594)	Prec@5 19.141 (15.881)
Epoch: [10][2450/7045]	Time 0.109 (0.249)	Data 0.057 (0.185)	Loss 5.1082 (5.0157)	Prec@1 5.078 (4.596)	Prec@5 15.234 (15.880)
Epoch: [10][2460/7045]	Time 0.160 (0.249)	Data 0.109 (0.185)	Loss 5.0644 (5.0157)	Prec@1 4.688 (4.598)	Prec@5 14.453 (15.882)
Epoch: [10][2470/7045]	Time 0.201 (0.249)	Data 0.150 (0.185)	Loss 5.1216 (5.0157)	Prec@1 3.516 (4.597)	Prec@5 13.281 (15.881)
Epoch: [10][2480/7045]	Time 0.101 (0.249)	Data 0.009 (0.185)	Loss 5.1237 (5.0158)	Prec@1 4.688 (4.599)	Prec@5 12.891 (15.880)
Epoch: [10][2490/7045]	Time 0.116 (0.249)	Data 0.064 (0.185)	Loss 5.0302 (5.0156)	Prec@1 4.688 (4.600)	Prec@5 15.234 (15.879)
Epoch: [10][2500/7045]	Time 0.102 (0.249)	Data 0.009 (0.185)	Loss 4.9974 (5.0154)	Prec@1 6.250 (4.603)	Prec@5 18.359 (15.881)
Epoch: [10][2510/7045]	Time 0.216 (0.249)	Data 0.165 (0.185)	Loss 4.9084 (5.0153)	Prec@1 5.078 (4.604)	Prec@5 16.406 (15.881)
Epoch: [10][2520/7045]	Time 0.101 (0.249)	Data 0.046 (0.185)	Loss 4.9301 (5.0150)	Prec@1 5.469 (4.603)	Prec@5 17.188 (15.883)
Epoch: [10][2530/7045]	Time 0.183 (0.249)	Data 0.131 (0.185)	Loss 4.8083 (5.0150)	Prec@1 7.422 (4.603)	Prec@5 21.875 (15.880)
Epoch: [10][2540/7045]	Time 0.103 (0.249)	Data 0.001 (0.185)	Loss 4.9633 (5.0148)	Prec@1 4.688 (4.607)	Prec@5 17.188 (15.879)
Epoch: [10][2550/7045]	Time 0.311 (0.249)	Data 0.261 (0.185)	Loss 5.0046 (5.0148)	Prec@1 5.078 (4.609)	Prec@5 13.672 (15.878)
Epoch: [10][2560/7045]	Time 0.108 (0.249)	Data 0.056 (0.185)	Loss 5.0211 (5.0146)	Prec@1 3.125 (4.610)	Prec@5 12.891 (15.881)
Epoch: [10][2570/7045]	Time 0.268 (0.249)	Data 0.216 (0.185)	Loss 4.9061 (5.0145)	Prec@1 2.344 (4.611)	Prec@5 20.703 (15.882)
Epoch: [10][2580/7045]	Time 0.216 (0.249)	Data 0.165 (0.185)	Loss 4.9407 (5.0145)	Prec@1 6.250 (4.610)	Prec@5 19.922 (15.880)
Epoch: [10][2590/7045]	Time 0.124 (0.249)	Data 0.073 (0.185)	Loss 5.0846 (5.0144)	Prec@1 3.516 (4.610)	Prec@5 12.109 (15.883)
Epoch: [10][2600/7045]	Time 0.116 (0.249)	Data 0.065 (0.185)	Loss 4.9082 (5.0143)	Prec@1 3.125 (4.610)	Prec@5 19.922 (15.888)
Epoch: [10][2610/7045]	Time 0.103 (0.249)	Data 0.007 (0.185)	Loss 5.1570 (5.0144)	Prec@1 6.250 (4.610)	Prec@5 18.359 (15.890)
Epoch: [10][2620/7045]	Time 0.109 (0.249)	Data 0.001 (0.185)	Loss 4.9185 (5.0143)	Prec@1 5.078 (4.612)	Prec@5 18.750 (15.889)
Epoch: [10][2630/7045]	Time 0.102 (0.249)	Data 0.003 (0.185)	Loss 4.8810 (5.0142)	Prec@1 6.641 (4.613)	Prec@5 16.797 (15.891)
Epoch: [10][2640/7045]	Time 0.104 (0.249)	Data 0.051 (0.185)	Loss 5.0133 (5.0144)	Prec@1 4.297 (4.609)	Prec@5 17.969 (15.889)
Epoch: [10][2650/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 5.0675 (5.0144)	Prec@1 6.250 (4.608)	Prec@5 10.547 (15.885)
Epoch: [10][2660/7045]	Time 0.211 (0.249)	Data 0.159 (0.185)	Loss 4.9844 (5.0143)	Prec@1 5.469 (4.608)	Prec@5 14.453 (15.888)
Epoch: [10][2670/7045]	Time 0.102 (0.249)	Data 0.011 (0.185)	Loss 4.9687 (5.0141)	Prec@1 7.031 (4.611)	Prec@5 16.797 (15.891)
Epoch: [10][2680/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 5.0300 (5.0140)	Prec@1 3.906 (4.612)	Prec@5 16.406 (15.896)
Epoch: [10][2690/7045]	Time 0.109 (0.249)	Data 0.001 (0.185)	Loss 5.0743 (5.0138)	Prec@1 4.688 (4.613)	Prec@5 15.625 (15.897)
Epoch: [10][2700/7045]	Time 0.101 (0.249)	Data 0.016 (0.185)	Loss 4.8190 (5.0137)	Prec@1 5.859 (4.614)	Prec@5 19.141 (15.897)
Epoch: [10][2710/7045]	Time 0.102 (0.249)	Data 0.016 (0.185)	Loss 4.9346 (5.0135)	Prec@1 5.469 (4.614)	Prec@5 19.922 (15.902)
Epoch: [10][2720/7045]	Time 0.110 (0.249)	Data 0.059 (0.185)	Loss 5.1079 (5.0139)	Prec@1 4.688 (4.614)	Prec@5 14.062 (15.897)
Epoch: [10][2730/7045]	Time 0.241 (0.249)	Data 0.185 (0.185)	Loss 4.9585 (5.0139)	Prec@1 3.906 (4.611)	Prec@5 14.844 (15.895)
Epoch: [10][2740/7045]	Time 0.102 (0.249)	Data 0.050 (0.185)	Loss 5.1111 (5.0138)	Prec@1 3.906 (4.610)	Prec@5 14.844 (15.895)
Epoch: [10][2750/7045]	Time 0.625 (0.249)	Data 0.567 (0.185)	Loss 4.9029 (5.0138)	Prec@1 5.078 (4.611)	Prec@5 16.406 (15.893)
Epoch: [10][2760/7045]	Time 0.109 (0.249)	Data 0.001 (0.185)	Loss 4.6891 (5.0134)	Prec@1 4.688 (4.612)	Prec@5 23.047 (15.899)
Epoch: [10][2770/7045]	Time 0.627 (0.249)	Data 0.575 (0.185)	Loss 5.0188 (5.0133)	Prec@1 3.516 (4.613)	Prec@5 16.797 (15.904)
Epoch: [10][2780/7045]	Time 0.249 (0.249)	Data 0.196 (0.185)	Loss 4.9582 (5.0131)	Prec@1 5.859 (4.616)	Prec@5 17.188 (15.907)
Epoch: [10][2790/7045]	Time 0.368 (0.249)	Data 0.317 (0.185)	Loss 4.7988 (5.0129)	Prec@1 9.766 (4.620)	Prec@5 23.828 (15.910)
Epoch: [10][2800/7045]	Time 0.280 (0.249)	Data 0.228 (0.185)	Loss 4.9596 (5.0128)	Prec@1 5.859 (4.619)	Prec@5 19.141 (15.912)
Epoch: [10][2810/7045]	Time 0.457 (0.249)	Data 0.406 (0.185)	Loss 4.9008 (5.0126)	Prec@1 3.125 (4.621)	Prec@5 16.016 (15.915)
Epoch: [10][2820/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 5.1402 (5.0127)	Prec@1 2.734 (4.619)	Prec@5 16.406 (15.910)
Epoch: [10][2830/7045]	Time 0.102 (0.249)	Data 0.006 (0.185)	Loss 4.9889 (5.0127)	Prec@1 5.469 (4.619)	Prec@5 17.969 (15.909)
Epoch: [10][2840/7045]	Time 0.511 (0.249)	Data 0.461 (0.185)	Loss 5.1063 (5.0128)	Prec@1 5.078 (4.622)	Prec@5 15.234 (15.910)
Epoch: [10][2850/7045]	Time 0.234 (0.249)	Data 0.174 (0.185)	Loss 4.9757 (5.0128)	Prec@1 6.250 (4.622)	Prec@5 17.188 (15.908)
Epoch: [10][2860/7045]	Time 0.555 (0.249)	Data 0.504 (0.185)	Loss 5.0200 (5.0128)	Prec@1 4.297 (4.622)	Prec@5 19.922 (15.909)
Epoch: [10][2870/7045]	Time 0.125 (0.249)	Data 0.064 (0.185)	Loss 4.8342 (5.0127)	Prec@1 5.469 (4.624)	Prec@5 20.703 (15.913)
Epoch: [10][2880/7045]	Time 0.622 (0.249)	Data 0.571 (0.185)	Loss 4.9647 (5.0125)	Prec@1 4.297 (4.625)	Prec@5 15.625 (15.914)
Epoch: [10][2890/7045]	Time 0.244 (0.249)	Data 0.186 (0.185)	Loss 4.8673 (5.0122)	Prec@1 5.859 (4.626)	Prec@5 16.406 (15.918)
Epoch: [10][2900/7045]	Time 0.274 (0.249)	Data 0.223 (0.185)	Loss 4.9271 (5.0120)	Prec@1 4.297 (4.626)	Prec@5 16.406 (15.922)
Epoch: [10][2910/7045]	Time 0.469 (0.249)	Data 0.418 (0.185)	Loss 4.9007 (5.0119)	Prec@1 3.125 (4.626)	Prec@5 18.359 (15.925)
Epoch: [10][2920/7045]	Time 0.107 (0.249)	Data 0.054 (0.185)	Loss 5.0334 (5.0120)	Prec@1 4.297 (4.624)	Prec@5 17.188 (15.925)
Epoch: [10][2930/7045]	Time 0.525 (0.249)	Data 0.473 (0.185)	Loss 5.0330 (5.0120)	Prec@1 4.688 (4.627)	Prec@5 14.453 (15.927)
Epoch: [10][2940/7045]	Time 0.110 (0.249)	Data 0.059 (0.185)	Loss 4.9275 (5.0120)	Prec@1 4.688 (4.628)	Prec@5 19.922 (15.927)
Epoch: [10][2950/7045]	Time 0.156 (0.249)	Data 0.105 (0.185)	Loss 4.8734 (5.0122)	Prec@1 2.734 (4.627)	Prec@5 17.188 (15.925)
Epoch: [10][2960/7045]	Time 0.102 (0.249)	Data 0.011 (0.185)	Loss 4.8935 (5.0122)	Prec@1 6.250 (4.629)	Prec@5 17.578 (15.926)
Epoch: [10][2970/7045]	Time 0.474 (0.249)	Data 0.423 (0.185)	Loss 4.9920 (5.0122)	Prec@1 7.031 (4.630)	Prec@5 17.578 (15.926)
Epoch: [10][2980/7045]	Time 0.209 (0.249)	Data 0.149 (0.185)	Loss 5.0525 (5.0121)	Prec@1 3.125 (4.631)	Prec@5 13.281 (15.926)
Epoch: [10][2990/7045]	Time 0.418 (0.249)	Data 0.366 (0.185)	Loss 4.7877 (5.0122)	Prec@1 7.031 (4.631)	Prec@5 22.266 (15.921)
Epoch: [10][3000/7045]	Time 0.213 (0.249)	Data 0.162 (0.185)	Loss 5.1610 (5.0124)	Prec@1 3.516 (4.629)	Prec@5 16.406 (15.919)
Epoch: [10][3010/7045]	Time 0.138 (0.249)	Data 0.086 (0.185)	Loss 5.0647 (5.0125)	Prec@1 7.031 (4.628)	Prec@5 17.578 (15.916)
Epoch: [10][3020/7045]	Time 0.133 (0.249)	Data 0.080 (0.185)	Loss 5.0806 (5.0124)	Prec@1 5.469 (4.627)	Prec@5 14.062 (15.914)
Epoch: [10][3030/7045]	Time 0.113 (0.249)	Data 0.001 (0.185)	Loss 5.2011 (5.0127)	Prec@1 3.125 (4.626)	Prec@5 10.547 (15.910)
Epoch: [10][3040/7045]	Time 0.101 (0.249)	Data 0.050 (0.185)	Loss 5.0695 (5.0127)	Prec@1 2.344 (4.625)	Prec@5 12.500 (15.909)
Epoch: [10][3050/7045]	Time 0.110 (0.249)	Data 0.020 (0.185)	Loss 5.0536 (5.0127)	Prec@1 1.562 (4.624)	Prec@5 14.453 (15.909)
Epoch: [10][3060/7045]	Time 0.642 (0.249)	Data 0.591 (0.185)	Loss 4.9035 (5.0124)	Prec@1 3.516 (4.628)	Prec@5 13.672 (15.917)
Epoch: [10][3070/7045]	Time 0.171 (0.249)	Data 0.119 (0.185)	Loss 5.0972 (5.0123)	Prec@1 3.906 (4.628)	Prec@5 12.891 (15.918)
Epoch: [10][3080/7045]	Time 0.642 (0.249)	Data 0.591 (0.185)	Loss 4.9532 (5.0122)	Prec@1 6.641 (4.630)	Prec@5 17.578 (15.921)
Epoch: [10][3090/7045]	Time 0.108 (0.249)	Data 0.020 (0.185)	Loss 4.9413 (5.0121)	Prec@1 4.688 (4.629)	Prec@5 16.016 (15.925)
Epoch: [10][3100/7045]	Time 0.487 (0.249)	Data 0.437 (0.185)	Loss 5.0500 (5.0120)	Prec@1 3.906 (4.628)	Prec@5 15.625 (15.924)
Epoch: [10][3110/7045]	Time 0.296 (0.249)	Data 0.245 (0.185)	Loss 5.0632 (5.0120)	Prec@1 5.078 (4.629)	Prec@5 14.844 (15.922)
Epoch: [10][3120/7045]	Time 0.106 (0.249)	Data 0.055 (0.185)	Loss 5.1112 (5.0119)	Prec@1 3.516 (4.630)	Prec@5 8.984 (15.924)
Epoch: [10][3130/7045]	Time 0.102 (0.249)	Data 0.008 (0.185)	Loss 5.0597 (5.0119)	Prec@1 3.906 (4.628)	Prec@5 14.844 (15.923)
Epoch: [10][3140/7045]	Time 0.227 (0.249)	Data 0.166 (0.185)	Loss 4.9435 (5.0119)	Prec@1 5.078 (4.629)	Prec@5 14.453 (15.920)
Epoch: [10][3150/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.9883 (5.0120)	Prec@1 4.688 (4.628)	Prec@5 19.922 (15.919)
Epoch: [10][3160/7045]	Time 0.136 (0.249)	Data 0.084 (0.185)	Loss 4.9128 (5.0119)	Prec@1 5.859 (4.631)	Prec@5 14.844 (15.920)
Epoch: [10][3170/7045]	Time 0.173 (0.249)	Data 0.120 (0.185)	Loss 4.8421 (5.0116)	Prec@1 7.422 (4.633)	Prec@5 20.703 (15.926)
Epoch: [10][3180/7045]	Time 0.114 (0.249)	Data 0.062 (0.185)	Loss 5.0146 (5.0115)	Prec@1 3.906 (4.634)	Prec@5 15.234 (15.928)
Epoch: [10][3190/7045]	Time 0.433 (0.249)	Data 0.382 (0.185)	Loss 4.9336 (5.0113)	Prec@1 4.688 (4.635)	Prec@5 16.406 (15.933)
Epoch: [10][3200/7045]	Time 0.215 (0.249)	Data 0.165 (0.185)	Loss 4.8798 (5.0112)	Prec@1 7.812 (4.637)	Prec@5 17.188 (15.934)
Epoch: [10][3210/7045]	Time 0.429 (0.249)	Data 0.378 (0.185)	Loss 4.7049 (5.0110)	Prec@1 8.203 (4.638)	Prec@5 17.969 (15.936)
Epoch: [10][3220/7045]	Time 0.532 (0.249)	Data 0.480 (0.185)	Loss 4.9601 (5.0108)	Prec@1 5.469 (4.640)	Prec@5 17.578 (15.941)
Epoch: [10][3230/7045]	Time 0.123 (0.249)	Data 0.071 (0.185)	Loss 5.1007 (5.0107)	Prec@1 2.344 (4.641)	Prec@5 10.547 (15.944)
Epoch: [10][3240/7045]	Time 0.446 (0.249)	Data 0.394 (0.185)	Loss 4.8252 (5.0105)	Prec@1 6.641 (4.641)	Prec@5 19.922 (15.945)
Epoch: [10][3250/7045]	Time 0.101 (0.249)	Data 0.003 (0.185)	Loss 4.9799 (5.0104)	Prec@1 5.469 (4.642)	Prec@5 17.188 (15.949)
Epoch: [10][3260/7045]	Time 0.487 (0.249)	Data 0.436 (0.185)	Loss 5.1531 (5.0104)	Prec@1 4.688 (4.643)	Prec@5 15.234 (15.951)
Epoch: [10][3270/7045]	Time 0.186 (0.249)	Data 0.135 (0.185)	Loss 5.0165 (5.0106)	Prec@1 5.078 (4.641)	Prec@5 14.062 (15.946)
Epoch: [10][3280/7045]	Time 0.541 (0.249)	Data 0.484 (0.185)	Loss 5.0369 (5.0109)	Prec@1 4.297 (4.639)	Prec@5 16.406 (15.940)
Epoch: [10][3290/7045]	Time 0.105 (0.249)	Data 0.007 (0.185)	Loss 4.8776 (5.0112)	Prec@1 5.469 (4.636)	Prec@5 15.625 (15.934)
Epoch: [10][3300/7045]	Time 0.418 (0.249)	Data 0.360 (0.185)	Loss 5.0615 (5.0111)	Prec@1 3.516 (4.634)	Prec@5 15.625 (15.935)
Epoch: [10][3310/7045]	Time 0.113 (0.249)	Data 0.061 (0.185)	Loss 5.0092 (5.0113)	Prec@1 5.078 (4.633)	Prec@5 14.844 (15.932)
Epoch: [10][3320/7045]	Time 0.574 (0.249)	Data 0.523 (0.185)	Loss 4.9355 (5.0112)	Prec@1 3.906 (4.633)	Prec@5 15.625 (15.932)
Epoch: [10][3330/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 5.0011 (5.0110)	Prec@1 3.906 (4.635)	Prec@5 16.016 (15.938)
Epoch: [10][3340/7045]	Time 0.582 (0.249)	Data 0.531 (0.185)	Loss 4.9712 (5.0110)	Prec@1 3.125 (4.635)	Prec@5 16.016 (15.939)
Epoch: [10][3350/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 4.7898 (5.0109)	Prec@1 2.344 (4.636)	Prec@5 19.922 (15.942)
Epoch: [10][3360/7045]	Time 0.523 (0.249)	Data 0.472 (0.185)	Loss 5.0306 (5.0108)	Prec@1 3.906 (4.638)	Prec@5 17.578 (15.944)
Epoch: [10][3370/7045]	Time 0.110 (0.249)	Data 0.058 (0.185)	Loss 5.1191 (5.0108)	Prec@1 2.734 (4.640)	Prec@5 11.328 (15.942)
Epoch: [10][3380/7045]	Time 0.544 (0.249)	Data 0.493 (0.185)	Loss 4.9231 (5.0107)	Prec@1 6.641 (4.642)	Prec@5 16.797 (15.944)
Epoch: [10][3390/7045]	Time 0.239 (0.249)	Data 0.182 (0.185)	Loss 5.0357 (5.0106)	Prec@1 6.250 (4.643)	Prec@5 14.062 (15.949)
Epoch: [10][3400/7045]	Time 0.485 (0.249)	Data 0.434 (0.185)	Loss 4.8710 (5.0103)	Prec@1 5.469 (4.647)	Prec@5 23.047 (15.956)
Epoch: [10][3410/7045]	Time 0.211 (0.249)	Data 0.160 (0.185)	Loss 4.9407 (5.0102)	Prec@1 5.078 (4.646)	Prec@5 14.453 (15.957)
Epoch: [10][3420/7045]	Time 0.440 (0.249)	Data 0.390 (0.185)	Loss 4.9865 (5.0103)	Prec@1 3.906 (4.646)	Prec@5 17.188 (15.957)
Epoch: [10][3430/7045]	Time 0.206 (0.249)	Data 0.154 (0.185)	Loss 5.0221 (5.0102)	Prec@1 3.125 (4.645)	Prec@5 13.281 (15.957)
Epoch: [10][3440/7045]	Time 0.347 (0.249)	Data 0.295 (0.185)	Loss 5.0004 (5.0102)	Prec@1 5.469 (4.645)	Prec@5 14.453 (15.958)
Epoch: [10][3450/7045]	Time 0.216 (0.249)	Data 0.164 (0.185)	Loss 4.9488 (5.0102)	Prec@1 4.688 (4.644)	Prec@5 16.797 (15.958)
Epoch: [10][3460/7045]	Time 0.477 (0.249)	Data 0.423 (0.185)	Loss 4.9773 (5.0102)	Prec@1 3.516 (4.645)	Prec@5 16.406 (15.958)
Epoch: [10][3470/7045]	Time 0.328 (0.249)	Data 0.274 (0.185)	Loss 5.0483 (5.0102)	Prec@1 2.344 (4.642)	Prec@5 11.328 (15.955)
Epoch: [10][3480/7045]	Time 0.466 (0.249)	Data 0.414 (0.185)	Loss 5.0708 (5.0102)	Prec@1 4.688 (4.645)	Prec@5 14.062 (15.957)
Epoch: [10][3490/7045]	Time 0.260 (0.249)	Data 0.209 (0.185)	Loss 5.1677 (5.0103)	Prec@1 2.344 (4.644)	Prec@5 10.547 (15.955)
Epoch: [10][3500/7045]	Time 0.374 (0.249)	Data 0.323 (0.185)	Loss 5.2551 (5.0105)	Prec@1 3.906 (4.643)	Prec@5 12.109 (15.952)
Epoch: [10][3510/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.9068 (5.0105)	Prec@1 2.734 (4.641)	Prec@5 15.625 (15.948)
Epoch: [10][3520/7045]	Time 0.686 (0.249)	Data 0.635 (0.185)	Loss 4.9285 (5.0106)	Prec@1 5.859 (4.641)	Prec@5 16.016 (15.947)
Epoch: [10][3530/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 5.0491 (5.0106)	Prec@1 4.297 (4.641)	Prec@5 15.234 (15.948)
Epoch: [10][3540/7045]	Time 0.480 (0.249)	Data 0.426 (0.185)	Loss 5.2229 (5.0108)	Prec@1 2.344 (4.642)	Prec@5 9.375 (15.945)
Epoch: [10][3550/7045]	Time 0.263 (0.249)	Data 0.211 (0.185)	Loss 5.0787 (5.0110)	Prec@1 3.906 (4.639)	Prec@5 14.844 (15.941)
Epoch: [10][3560/7045]	Time 0.504 (0.249)	Data 0.452 (0.185)	Loss 4.9722 (5.0110)	Prec@1 6.250 (4.639)	Prec@5 16.797 (15.940)
Epoch: [10][3570/7045]	Time 0.103 (0.249)	Data 0.001 (0.185)	Loss 5.0830 (5.0111)	Prec@1 5.078 (4.638)	Prec@5 14.844 (15.937)
Epoch: [10][3580/7045]	Time 0.309 (0.249)	Data 0.258 (0.185)	Loss 5.0511 (5.0111)	Prec@1 3.125 (4.636)	Prec@5 15.625 (15.935)
Epoch: [10][3590/7045]	Time 0.100 (0.249)	Data 0.001 (0.185)	Loss 4.9894 (5.0112)	Prec@1 4.688 (4.636)	Prec@5 16.797 (15.933)
Epoch: [10][3600/7045]	Time 0.100 (0.249)	Data 0.012 (0.185)	Loss 4.8712 (5.0110)	Prec@1 4.688 (4.637)	Prec@5 16.016 (15.935)
Epoch: [10][3610/7045]	Time 0.118 (0.249)	Data 0.067 (0.185)	Loss 4.9800 (5.0110)	Prec@1 4.688 (4.638)	Prec@5 16.016 (15.938)
Epoch: [10][3620/7045]	Time 0.155 (0.249)	Data 0.104 (0.185)	Loss 5.1754 (5.0109)	Prec@1 3.906 (4.638)	Prec@5 12.891 (15.937)
Epoch: [10][3630/7045]	Time 0.145 (0.249)	Data 0.094 (0.185)	Loss 4.9152 (5.0108)	Prec@1 4.297 (4.638)	Prec@5 17.188 (15.938)
Epoch: [10][3640/7045]	Time 0.240 (0.249)	Data 0.190 (0.185)	Loss 5.1029 (5.0109)	Prec@1 5.078 (4.639)	Prec@5 13.281 (15.938)
Epoch: [10][3650/7045]	Time 0.151 (0.249)	Data 0.100 (0.185)	Loss 5.0450 (5.0109)	Prec@1 6.641 (4.640)	Prec@5 16.797 (15.940)
Epoch: [10][3660/7045]	Time 0.290 (0.249)	Data 0.238 (0.185)	Loss 4.8823 (5.0108)	Prec@1 5.469 (4.642)	Prec@5 19.531 (15.945)
Epoch: [10][3670/7045]	Time 0.158 (0.249)	Data 0.104 (0.185)	Loss 4.9551 (5.0109)	Prec@1 3.125 (4.642)	Prec@5 18.750 (15.943)
Epoch: [10][3680/7045]	Time 0.204 (0.249)	Data 0.151 (0.185)	Loss 5.0697 (5.0109)	Prec@1 3.906 (4.642)	Prec@5 12.891 (15.939)
Epoch: [10][3690/7045]	Time 0.102 (0.249)	Data 0.018 (0.185)	Loss 4.9322 (5.0110)	Prec@1 2.344 (4.640)	Prec@5 15.625 (15.937)
Epoch: [10][3700/7045]	Time 0.111 (0.249)	Data 0.001 (0.185)	Loss 5.1483 (5.0110)	Prec@1 7.031 (4.641)	Prec@5 15.625 (15.937)
Epoch: [10][3710/7045]	Time 0.215 (0.249)	Data 0.163 (0.185)	Loss 5.0551 (5.0110)	Prec@1 5.859 (4.643)	Prec@5 13.281 (15.937)
Epoch: [10][3720/7045]	Time 0.111 (0.249)	Data 0.050 (0.185)	Loss 5.1261 (5.0111)	Prec@1 3.516 (4.643)	Prec@5 13.281 (15.934)
Epoch: [10][3730/7045]	Time 0.212 (0.249)	Data 0.160 (0.185)	Loss 4.9149 (5.0111)	Prec@1 5.859 (4.641)	Prec@5 19.531 (15.933)
Epoch: [10][3740/7045]	Time 0.105 (0.249)	Data 0.052 (0.185)	Loss 5.0023 (5.0111)	Prec@1 5.859 (4.642)	Prec@5 15.625 (15.933)
Epoch: [10][3750/7045]	Time 0.110 (0.249)	Data 0.057 (0.185)	Loss 4.8539 (5.0110)	Prec@1 4.297 (4.641)	Prec@5 16.797 (15.933)
Epoch: [10][3760/7045]	Time 0.135 (0.249)	Data 0.085 (0.185)	Loss 5.0313 (5.0110)	Prec@1 2.344 (4.643)	Prec@5 14.453 (15.934)
Epoch: [10][3770/7045]	Time 0.210 (0.249)	Data 0.159 (0.185)	Loss 4.9972 (5.0111)	Prec@1 5.469 (4.643)	Prec@5 16.406 (15.933)
Epoch: [10][3780/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 4.9828 (5.0112)	Prec@1 5.078 (4.644)	Prec@5 15.625 (15.932)
Epoch: [10][3790/7045]	Time 0.112 (0.249)	Data 0.059 (0.185)	Loss 4.9634 (5.0112)	Prec@1 3.125 (4.644)	Prec@5 14.062 (15.933)
Epoch: [10][3800/7045]	Time 0.103 (0.249)	Data 0.001 (0.185)	Loss 5.1293 (5.0112)	Prec@1 6.641 (4.644)	Prec@5 16.016 (15.934)
Epoch: [10][3810/7045]	Time 0.110 (0.249)	Data 0.059 (0.185)	Loss 5.1528 (5.0112)	Prec@1 3.125 (4.641)	Prec@5 10.938 (15.932)
Epoch: [10][3820/7045]	Time 0.173 (0.249)	Data 0.122 (0.185)	Loss 5.0111 (5.0114)	Prec@1 5.078 (4.639)	Prec@5 16.016 (15.927)
Epoch: [10][3830/7045]	Time 0.101 (0.249)	Data 0.002 (0.185)	Loss 4.8797 (5.0113)	Prec@1 6.250 (4.639)	Prec@5 16.797 (15.926)
Epoch: [10][3840/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 5.0329 (5.0114)	Prec@1 3.906 (4.638)	Prec@5 11.328 (15.924)
Epoch: [10][3850/7045]	Time 0.246 (0.249)	Data 0.187 (0.185)	Loss 4.8716 (5.0113)	Prec@1 4.297 (4.636)	Prec@5 19.531 (15.922)
Epoch: [10][3860/7045]	Time 0.433 (0.249)	Data 0.382 (0.185)	Loss 4.7931 (5.0113)	Prec@1 5.859 (4.637)	Prec@5 20.703 (15.923)
Epoch: [10][3870/7045]	Time 0.109 (0.249)	Data 0.001 (0.185)	Loss 5.0380 (5.0113)	Prec@1 3.125 (4.636)	Prec@5 18.359 (15.922)
Epoch: [10][3880/7045]	Time 0.714 (0.249)	Data 0.654 (0.185)	Loss 4.9958 (5.0113)	Prec@1 4.297 (4.637)	Prec@5 16.406 (15.922)
Epoch: [10][3890/7045]	Time 0.167 (0.249)	Data 0.116 (0.185)	Loss 5.0108 (5.0113)	Prec@1 2.734 (4.635)	Prec@5 17.188 (15.922)
Epoch: [10][3900/7045]	Time 0.503 (0.249)	Data 0.452 (0.185)	Loss 5.0649 (5.0113)	Prec@1 3.516 (4.636)	Prec@5 14.062 (15.925)
Epoch: [10][3910/7045]	Time 0.109 (0.249)	Data 0.057 (0.185)	Loss 5.0579 (5.0112)	Prec@1 5.469 (4.637)	Prec@5 16.016 (15.929)
Epoch: [10][3920/7045]	Time 0.499 (0.249)	Data 0.447 (0.185)	Loss 4.8894 (5.0110)	Prec@1 7.031 (4.637)	Prec@5 17.969 (15.933)
Epoch: [10][3930/7045]	Time 0.150 (0.249)	Data 0.098 (0.185)	Loss 4.9005 (5.0109)	Prec@1 5.859 (4.639)	Prec@5 19.531 (15.937)
Epoch: [10][3940/7045]	Time 0.527 (0.249)	Data 0.476 (0.185)	Loss 4.8590 (5.0108)	Prec@1 7.422 (4.641)	Prec@5 18.750 (15.939)
Epoch: [10][3950/7045]	Time 0.313 (0.249)	Data 0.254 (0.185)	Loss 4.9318 (5.0106)	Prec@1 6.250 (4.644)	Prec@5 16.797 (15.942)
Epoch: [10][3960/7045]	Time 0.276 (0.249)	Data 0.221 (0.185)	Loss 5.0212 (5.0106)	Prec@1 5.469 (4.644)	Prec@5 17.969 (15.942)
Epoch: [10][3970/7045]	Time 0.198 (0.249)	Data 0.146 (0.185)	Loss 5.0283 (5.0104)	Prec@1 3.906 (4.643)	Prec@5 16.797 (15.943)
Epoch: [10][3980/7045]	Time 0.194 (0.249)	Data 0.143 (0.185)	Loss 5.0542 (5.0103)	Prec@1 5.469 (4.645)	Prec@5 17.578 (15.948)
Epoch: [10][3990/7045]	Time 0.107 (0.249)	Data 0.056 (0.185)	Loss 4.9577 (5.0100)	Prec@1 7.812 (4.647)	Prec@5 20.703 (15.954)
Epoch: [10][4000/7045]	Time 0.206 (0.249)	Data 0.155 (0.185)	Loss 4.9589 (5.0100)	Prec@1 5.078 (4.647)	Prec@5 14.844 (15.953)
Epoch: [10][4010/7045]	Time 0.101 (0.249)	Data 0.005 (0.185)	Loss 4.9718 (5.0100)	Prec@1 3.906 (4.648)	Prec@5 17.188 (15.954)
Epoch: [10][4020/7045]	Time 0.172 (0.249)	Data 0.121 (0.185)	Loss 4.9316 (5.0099)	Prec@1 7.422 (4.651)	Prec@5 19.531 (15.954)
Epoch: [10][4030/7045]	Time 0.179 (0.249)	Data 0.129 (0.185)	Loss 4.8978 (5.0098)	Prec@1 5.859 (4.652)	Prec@5 20.312 (15.957)
Epoch: [10][4040/7045]	Time 0.516 (0.249)	Data 0.464 (0.185)	Loss 4.9746 (5.0099)	Prec@1 3.516 (4.651)	Prec@5 15.625 (15.955)
Epoch: [10][4050/7045]	Time 0.103 (0.249)	Data 0.012 (0.185)	Loss 4.9925 (5.0100)	Prec@1 4.688 (4.653)	Prec@5 16.406 (15.956)
Epoch: [10][4060/7045]	Time 0.112 (0.249)	Data 0.060 (0.185)	Loss 5.0676 (5.0100)	Prec@1 3.906 (4.654)	Prec@5 16.406 (15.955)
Epoch: [10][4070/7045]	Time 0.204 (0.249)	Data 0.152 (0.185)	Loss 5.0576 (5.0102)	Prec@1 3.125 (4.653)	Prec@5 14.453 (15.951)
Epoch: [10][4080/7045]	Time 0.102 (0.249)	Data 0.008 (0.185)	Loss 4.8882 (5.0102)	Prec@1 4.688 (4.653)	Prec@5 17.969 (15.949)
Epoch: [10][4090/7045]	Time 0.139 (0.249)	Data 0.086 (0.185)	Loss 5.0355 (5.0102)	Prec@1 3.125 (4.652)	Prec@5 15.234 (15.949)
Epoch: [10][4100/7045]	Time 0.107 (0.249)	Data 0.054 (0.185)	Loss 4.8463 (5.0103)	Prec@1 5.859 (4.651)	Prec@5 20.312 (15.950)
Epoch: [10][4110/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 5.0101 (5.0103)	Prec@1 3.516 (4.651)	Prec@5 13.281 (15.948)
Epoch: [10][4120/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 5.0991 (5.0104)	Prec@1 3.125 (4.649)	Prec@5 15.625 (15.947)
Epoch: [10][4130/7045]	Time 0.177 (0.249)	Data 0.125 (0.185)	Loss 4.9792 (5.0104)	Prec@1 3.516 (4.650)	Prec@5 18.359 (15.950)
Epoch: [10][4140/7045]	Time 0.301 (0.249)	Data 0.250 (0.185)	Loss 5.0583 (5.0105)	Prec@1 3.516 (4.650)	Prec@5 14.844 (15.950)
Epoch: [10][4150/7045]	Time 0.109 (0.249)	Data 0.001 (0.185)	Loss 5.0507 (5.0106)	Prec@1 5.078 (4.650)	Prec@5 15.234 (15.952)
Epoch: [10][4160/7045]	Time 0.570 (0.249)	Data 0.517 (0.185)	Loss 5.0117 (5.0105)	Prec@1 5.469 (4.651)	Prec@5 14.062 (15.955)
Epoch: [10][4170/7045]	Time 0.240 (0.249)	Data 0.190 (0.185)	Loss 4.9991 (5.0105)	Prec@1 3.516 (4.653)	Prec@5 16.016 (15.960)
Epoch: [10][4180/7045]	Time 0.504 (0.249)	Data 0.454 (0.185)	Loss 4.9732 (5.0104)	Prec@1 5.469 (4.654)	Prec@5 18.750 (15.961)
Epoch: [10][4190/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 5.0152 (5.0103)	Prec@1 4.688 (4.655)	Prec@5 16.406 (15.963)
Epoch: [10][4200/7045]	Time 0.320 (0.249)	Data 0.270 (0.185)	Loss 4.9190 (5.0103)	Prec@1 4.297 (4.654)	Prec@5 18.359 (15.964)
Epoch: [10][4210/7045]	Time 0.102 (0.249)	Data 0.014 (0.185)	Loss 5.0132 (5.0101)	Prec@1 4.688 (4.657)	Prec@5 15.625 (15.966)
Epoch: [10][4220/7045]	Time 0.101 (0.249)	Data 0.049 (0.185)	Loss 5.0082 (5.0100)	Prec@1 4.297 (4.658)	Prec@5 15.234 (15.968)
Epoch: [10][4230/7045]	Time 0.109 (0.249)	Data 0.057 (0.185)	Loss 4.9259 (5.0101)	Prec@1 4.688 (4.658)	Prec@5 19.141 (15.967)
Epoch: [10][4240/7045]	Time 0.219 (0.249)	Data 0.168 (0.185)	Loss 4.9827 (5.0100)	Prec@1 3.125 (4.659)	Prec@5 13.672 (15.969)
Epoch: [10][4250/7045]	Time 0.126 (0.249)	Data 0.074 (0.185)	Loss 5.0608 (5.0099)	Prec@1 3.906 (4.660)	Prec@5 16.016 (15.970)
Epoch: [10][4260/7045]	Time 0.337 (0.249)	Data 0.286 (0.185)	Loss 4.9585 (5.0098)	Prec@1 3.906 (4.659)	Prec@5 19.141 (15.972)
Epoch: [10][4270/7045]	Time 0.101 (0.249)	Data 0.049 (0.185)	Loss 4.8827 (5.0097)	Prec@1 5.078 (4.661)	Prec@5 20.312 (15.974)
Epoch: [10][4280/7045]	Time 0.346 (0.249)	Data 0.283 (0.185)	Loss 5.2135 (5.0096)	Prec@1 4.297 (4.662)	Prec@5 12.109 (15.978)
Epoch: [10][4290/7045]	Time 0.102 (0.248)	Data 0.010 (0.185)	Loss 5.0963 (5.0096)	Prec@1 5.078 (4.663)	Prec@5 15.625 (15.980)
Epoch: [10][4300/7045]	Time 0.488 (0.249)	Data 0.438 (0.185)	Loss 5.1269 (5.0097)	Prec@1 4.297 (4.661)	Prec@5 14.453 (15.978)
Epoch: [10][4310/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.9423 (5.0097)	Prec@1 3.906 (4.662)	Prec@5 17.188 (15.977)
Epoch: [10][4320/7045]	Time 0.469 (0.249)	Data 0.418 (0.185)	Loss 5.0824 (5.0097)	Prec@1 3.906 (4.662)	Prec@5 15.234 (15.975)
Epoch: [10][4330/7045]	Time 0.107 (0.248)	Data 0.052 (0.185)	Loss 4.9275 (5.0098)	Prec@1 5.859 (4.663)	Prec@5 17.578 (15.974)
Epoch: [10][4340/7045]	Time 0.366 (0.248)	Data 0.315 (0.185)	Loss 5.0535 (5.0099)	Prec@1 6.250 (4.662)	Prec@5 14.453 (15.975)
Epoch: [10][4350/7045]	Time 0.160 (0.248)	Data 0.108 (0.185)	Loss 4.9145 (5.0099)	Prec@1 5.859 (4.663)	Prec@5 16.797 (15.976)
Epoch: [10][4360/7045]	Time 0.240 (0.248)	Data 0.182 (0.185)	Loss 5.0062 (5.0099)	Prec@1 3.125 (4.664)	Prec@5 16.406 (15.976)
Epoch: [10][4370/7045]	Time 0.209 (0.248)	Data 0.157 (0.185)	Loss 5.0601 (5.0098)	Prec@1 4.688 (4.664)	Prec@5 17.578 (15.978)
Epoch: [10][4380/7045]	Time 0.144 (0.248)	Data 0.093 (0.185)	Loss 4.8952 (5.0097)	Prec@1 6.641 (4.664)	Prec@5 16.797 (15.979)
Epoch: [10][4390/7045]	Time 0.102 (0.248)	Data 0.013 (0.185)	Loss 4.9021 (5.0097)	Prec@1 5.078 (4.665)	Prec@5 17.578 (15.979)
Epoch: [10][4400/7045]	Time 0.291 (0.248)	Data 0.235 (0.185)	Loss 4.9727 (5.0096)	Prec@1 6.250 (4.665)	Prec@5 18.750 (15.982)
Epoch: [10][4410/7045]	Time 0.461 (0.249)	Data 0.409 (0.185)	Loss 4.9056 (5.0096)	Prec@1 4.297 (4.663)	Prec@5 18.359 (15.983)
Epoch: [10][4420/7045]	Time 0.162 (0.248)	Data 0.110 (0.185)	Loss 5.1063 (5.0096)	Prec@1 2.734 (4.662)	Prec@5 12.500 (15.982)
Epoch: [10][4430/7045]	Time 0.231 (0.248)	Data 0.180 (0.185)	Loss 5.1236 (5.0096)	Prec@1 5.859 (4.663)	Prec@5 15.625 (15.982)
Epoch: [10][4440/7045]	Time 0.185 (0.248)	Data 0.132 (0.185)	Loss 4.9064 (5.0095)	Prec@1 5.469 (4.665)	Prec@5 16.406 (15.984)
Epoch: [10][4450/7045]	Time 0.226 (0.248)	Data 0.169 (0.185)	Loss 4.9811 (5.0094)	Prec@1 6.250 (4.666)	Prec@5 15.234 (15.985)
Epoch: [10][4460/7045]	Time 0.101 (0.248)	Data 0.012 (0.185)	Loss 5.0688 (5.0093)	Prec@1 2.734 (4.666)	Prec@5 13.281 (15.988)
Epoch: [10][4470/7045]	Time 0.168 (0.248)	Data 0.116 (0.185)	Loss 5.0333 (5.0093)	Prec@1 4.688 (4.665)	Prec@5 12.891 (15.988)
Epoch: [10][4480/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 5.0088 (5.0094)	Prec@1 2.344 (4.664)	Prec@5 13.672 (15.987)
Epoch: [10][4490/7045]	Time 0.100 (0.248)	Data 0.048 (0.185)	Loss 5.0393 (5.0094)	Prec@1 7.422 (4.666)	Prec@5 17.969 (15.987)
Epoch: [10][4500/7045]	Time 0.107 (0.248)	Data 0.019 (0.185)	Loss 5.0308 (5.0094)	Prec@1 3.516 (4.665)	Prec@5 13.281 (15.986)
Epoch: [10][4510/7045]	Time 0.102 (0.248)	Data 0.050 (0.185)	Loss 4.9898 (5.0093)	Prec@1 2.734 (4.663)	Prec@5 14.844 (15.986)
Epoch: [10][4520/7045]	Time 0.235 (0.248)	Data 0.184 (0.185)	Loss 4.9157 (5.0093)	Prec@1 5.078 (4.663)	Prec@5 19.141 (15.988)
Epoch: [10][4530/7045]	Time 0.253 (0.248)	Data 0.202 (0.185)	Loss 5.1964 (5.0094)	Prec@1 3.125 (4.663)	Prec@5 12.891 (15.988)
Epoch: [10][4540/7045]	Time 0.234 (0.248)	Data 0.183 (0.185)	Loss 5.0636 (5.0094)	Prec@1 2.734 (4.661)	Prec@5 12.109 (15.986)
Epoch: [10][4550/7045]	Time 0.189 (0.248)	Data 0.136 (0.185)	Loss 4.8535 (5.0093)	Prec@1 8.203 (4.663)	Prec@5 17.188 (15.990)
Epoch: [10][4560/7045]	Time 0.143 (0.248)	Data 0.092 (0.185)	Loss 4.9776 (5.0093)	Prec@1 5.078 (4.662)	Prec@5 13.672 (15.989)
Epoch: [10][4570/7045]	Time 0.214 (0.248)	Data 0.162 (0.185)	Loss 5.0741 (5.0093)	Prec@1 5.078 (4.663)	Prec@5 14.062 (15.989)
Epoch: [10][4580/7045]	Time 0.140 (0.248)	Data 0.088 (0.185)	Loss 4.9462 (5.0094)	Prec@1 6.641 (4.662)	Prec@5 14.844 (15.989)
Epoch: [10][4590/7045]	Time 0.408 (0.248)	Data 0.358 (0.185)	Loss 4.9503 (5.0094)	Prec@1 5.469 (4.663)	Prec@5 17.578 (15.990)
Epoch: [10][4600/7045]	Time 0.141 (0.248)	Data 0.091 (0.185)	Loss 5.0313 (5.0094)	Prec@1 3.906 (4.663)	Prec@5 14.453 (15.989)
Epoch: [10][4610/7045]	Time 0.215 (0.248)	Data 0.165 (0.185)	Loss 4.9780 (5.0095)	Prec@1 6.641 (4.664)	Prec@5 15.234 (15.987)
Epoch: [10][4620/7045]	Time 0.389 (0.248)	Data 0.332 (0.185)	Loss 5.0648 (5.0095)	Prec@1 3.906 (4.662)	Prec@5 13.281 (15.986)
Epoch: [10][4630/7045]	Time 0.101 (0.248)	Data 0.046 (0.185)	Loss 5.1724 (5.0096)	Prec@1 4.297 (4.662)	Prec@5 12.500 (15.982)
Epoch: [10][4640/7045]	Time 0.361 (0.248)	Data 0.310 (0.185)	Loss 5.1030 (5.0097)	Prec@1 3.906 (4.662)	Prec@5 14.062 (15.981)
Epoch: [10][4650/7045]	Time 0.115 (0.248)	Data 0.063 (0.185)	Loss 5.1299 (5.0098)	Prec@1 2.734 (4.661)	Prec@5 11.719 (15.977)
Epoch: [10][4660/7045]	Time 0.507 (0.248)	Data 0.455 (0.185)	Loss 5.0374 (5.0098)	Prec@1 4.688 (4.660)	Prec@5 18.359 (15.975)
Epoch: [10][4670/7045]	Time 0.221 (0.248)	Data 0.169 (0.185)	Loss 5.0119 (5.0100)	Prec@1 4.297 (4.659)	Prec@5 14.062 (15.973)
Epoch: [10][4680/7045]	Time 0.521 (0.248)	Data 0.469 (0.185)	Loss 5.0186 (5.0100)	Prec@1 5.859 (4.659)	Prec@5 15.234 (15.972)
Epoch: [10][4690/7045]	Time 0.101 (0.248)	Data 0.048 (0.185)	Loss 5.1152 (5.0100)	Prec@1 6.250 (4.659)	Prec@5 14.062 (15.970)
Epoch: [10][4700/7045]	Time 0.123 (0.248)	Data 0.072 (0.185)	Loss 4.9586 (5.0098)	Prec@1 3.516 (4.659)	Prec@5 17.578 (15.972)
Epoch: [10][4710/7045]	Time 0.265 (0.248)	Data 0.212 (0.185)	Loss 5.1289 (5.0098)	Prec@1 4.688 (4.658)	Prec@5 13.281 (15.972)
Epoch: [10][4720/7045]	Time 0.108 (0.248)	Data 0.003 (0.185)	Loss 4.9370 (5.0098)	Prec@1 7.031 (4.658)	Prec@5 17.969 (15.973)
Epoch: [10][4730/7045]	Time 0.612 (0.248)	Data 0.553 (0.185)	Loss 4.9894 (5.0097)	Prec@1 4.688 (4.658)	Prec@5 16.406 (15.973)
Epoch: [10][4740/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 5.0647 (5.0097)	Prec@1 5.078 (4.659)	Prec@5 12.891 (15.973)
Epoch: [10][4750/7045]	Time 0.680 (0.248)	Data 0.630 (0.185)	Loss 4.9595 (5.0096)	Prec@1 2.734 (4.660)	Prec@5 15.625 (15.974)
Epoch: [10][4760/7045]	Time 0.108 (0.248)	Data 0.001 (0.185)	Loss 4.9592 (5.0095)	Prec@1 1.953 (4.660)	Prec@5 14.453 (15.977)
Epoch: [10][4770/7045]	Time 0.625 (0.248)	Data 0.567 (0.185)	Loss 5.0321 (5.0095)	Prec@1 3.906 (4.660)	Prec@5 18.359 (15.978)
Epoch: [10][4780/7045]	Time 0.202 (0.248)	Data 0.151 (0.185)	Loss 5.0750 (5.0095)	Prec@1 4.688 (4.661)	Prec@5 13.672 (15.979)
Epoch: [10][4790/7045]	Time 0.698 (0.248)	Data 0.646 (0.185)	Loss 5.0730 (5.0094)	Prec@1 5.078 (4.661)	Prec@5 17.188 (15.981)
Epoch: [10][4800/7045]	Time 0.282 (0.248)	Data 0.223 (0.185)	Loss 4.9463 (5.0094)	Prec@1 5.859 (4.661)	Prec@5 21.094 (15.983)
Epoch: [10][4810/7045]	Time 0.572 (0.248)	Data 0.521 (0.185)	Loss 5.0189 (5.0093)	Prec@1 4.297 (4.662)	Prec@5 14.062 (15.984)
Epoch: [10][4820/7045]	Time 0.336 (0.248)	Data 0.284 (0.185)	Loss 4.8999 (5.0092)	Prec@1 5.469 (4.662)	Prec@5 17.969 (15.984)
Epoch: [10][4830/7045]	Time 0.119 (0.248)	Data 0.068 (0.185)	Loss 5.1494 (5.0093)	Prec@1 3.516 (4.661)	Prec@5 13.281 (15.984)
Epoch: [10][4840/7045]	Time 0.138 (0.248)	Data 0.087 (0.185)	Loss 5.1883 (5.0096)	Prec@1 2.734 (4.661)	Prec@5 10.938 (15.981)
Epoch: [10][4850/7045]	Time 0.344 (0.248)	Data 0.293 (0.185)	Loss 5.1668 (5.0096)	Prec@1 3.906 (4.662)	Prec@5 14.453 (15.982)
Epoch: [10][4860/7045]	Time 0.102 (0.248)	Data 0.008 (0.185)	Loss 4.8956 (5.0097)	Prec@1 5.859 (4.661)	Prec@5 19.531 (15.981)
Epoch: [10][4870/7045]	Time 0.382 (0.248)	Data 0.330 (0.185)	Loss 4.7661 (5.0095)	Prec@1 5.859 (4.661)	Prec@5 17.578 (15.982)
Epoch: [10][4880/7045]	Time 0.311 (0.248)	Data 0.253 (0.185)	Loss 4.9141 (5.0095)	Prec@1 7.031 (4.662)	Prec@5 17.578 (15.982)
Epoch: [10][4890/7045]	Time 0.338 (0.248)	Data 0.286 (0.185)	Loss 4.9283 (5.0093)	Prec@1 5.859 (4.662)	Prec@5 19.922 (15.983)
Epoch: [10][4900/7045]	Time 0.100 (0.248)	Data 0.047 (0.185)	Loss 5.0607 (5.0092)	Prec@1 3.906 (4.663)	Prec@5 13.672 (15.983)
Epoch: [10][4910/7045]	Time 0.108 (0.248)	Data 0.015 (0.185)	Loss 5.1526 (5.0092)	Prec@1 5.078 (4.663)	Prec@5 15.234 (15.985)
Epoch: [10][4920/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 5.0323 (5.0092)	Prec@1 3.906 (4.664)	Prec@5 16.016 (15.985)
Epoch: [10][4930/7045]	Time 0.117 (0.248)	Data 0.059 (0.185)	Loss 5.0380 (5.0091)	Prec@1 5.469 (4.665)	Prec@5 16.016 (15.986)
Epoch: [10][4940/7045]	Time 0.413 (0.248)	Data 0.361 (0.185)	Loss 4.9324 (5.0091)	Prec@1 5.859 (4.666)	Prec@5 16.016 (15.985)
Epoch: [10][4950/7045]	Time 0.205 (0.248)	Data 0.154 (0.185)	Loss 5.0455 (5.0091)	Prec@1 3.906 (4.666)	Prec@5 13.672 (15.986)
Epoch: [10][4960/7045]	Time 0.286 (0.248)	Data 0.235 (0.185)	Loss 5.1030 (5.0092)	Prec@1 4.297 (4.664)	Prec@5 11.328 (15.983)
Epoch: [10][4970/7045]	Time 0.310 (0.248)	Data 0.258 (0.185)	Loss 4.7535 (5.0091)	Prec@1 6.250 (4.664)	Prec@5 17.578 (15.984)
Epoch: [10][4980/7045]	Time 0.110 (0.248)	Data 0.001 (0.185)	Loss 4.9995 (5.0090)	Prec@1 5.469 (4.665)	Prec@5 16.797 (15.988)
Epoch: [10][4990/7045]	Time 0.603 (0.248)	Data 0.545 (0.185)	Loss 5.1125 (5.0089)	Prec@1 2.734 (4.665)	Prec@5 13.281 (15.987)
Epoch: [10][5000/7045]	Time 0.108 (0.248)	Data 0.055 (0.185)	Loss 4.9490 (5.0089)	Prec@1 5.469 (4.666)	Prec@5 15.234 (15.987)
Epoch: [10][5010/7045]	Time 0.490 (0.248)	Data 0.437 (0.185)	Loss 4.9274 (5.0089)	Prec@1 3.906 (4.667)	Prec@5 16.797 (15.988)
Epoch: [10][5020/7045]	Time 0.100 (0.248)	Data 0.008 (0.185)	Loss 5.1842 (5.0088)	Prec@1 3.906 (4.668)	Prec@5 13.281 (15.988)
Epoch: [10][5030/7045]	Time 0.224 (0.248)	Data 0.172 (0.185)	Loss 5.0037 (5.0089)	Prec@1 4.688 (4.666)	Prec@5 12.891 (15.987)
Epoch: [10][5040/7045]	Time 0.100 (0.248)	Data 0.046 (0.185)	Loss 4.9762 (5.0090)	Prec@1 5.078 (4.665)	Prec@5 17.188 (15.987)
Epoch: [10][5050/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 4.9906 (5.0090)	Prec@1 4.297 (4.664)	Prec@5 12.109 (15.985)
Epoch: [10][5060/7045]	Time 0.109 (0.249)	Data 0.001 (0.185)	Loss 4.7460 (5.0090)	Prec@1 7.812 (4.665)	Prec@5 23.047 (15.987)
Epoch: [10][5070/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 4.8802 (5.0089)	Prec@1 5.078 (4.665)	Prec@5 16.016 (15.986)
Epoch: [10][5080/7045]	Time 0.108 (0.248)	Data 0.044 (0.185)	Loss 4.8396 (5.0090)	Prec@1 5.078 (4.663)	Prec@5 22.656 (15.986)
Epoch: [10][5090/7045]	Time 0.099 (0.248)	Data 0.001 (0.185)	Loss 4.8850 (5.0090)	Prec@1 3.516 (4.664)	Prec@5 15.234 (15.987)
Epoch: [10][5100/7045]	Time 0.102 (0.248)	Data 0.046 (0.185)	Loss 5.2617 (5.0089)	Prec@1 2.344 (4.664)	Prec@5 9.375 (15.987)
Epoch: [10][5110/7045]	Time 0.111 (0.248)	Data 0.056 (0.185)	Loss 5.1813 (5.0090)	Prec@1 2.344 (4.662)	Prec@5 11.328 (15.986)
Epoch: [10][5120/7045]	Time 0.118 (0.248)	Data 0.057 (0.185)	Loss 5.0167 (5.0089)	Prec@1 5.469 (4.663)	Prec@5 16.016 (15.986)
Epoch: [10][5130/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 4.9268 (5.0088)	Prec@1 5.469 (4.664)	Prec@5 16.797 (15.988)
Epoch: [10][5140/7045]	Time 0.160 (0.248)	Data 0.108 (0.185)	Loss 4.9930 (5.0088)	Prec@1 3.906 (4.663)	Prec@5 16.406 (15.989)
Epoch: [10][5150/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 4.9940 (5.0089)	Prec@1 3.906 (4.662)	Prec@5 14.453 (15.988)
Epoch: [10][5160/7045]	Time 0.405 (0.248)	Data 0.349 (0.185)	Loss 4.9228 (5.0089)	Prec@1 6.250 (4.662)	Prec@5 18.750 (15.987)
Epoch: [10][5170/7045]	Time 0.159 (0.248)	Data 0.108 (0.185)	Loss 5.1892 (5.0088)	Prec@1 3.125 (4.663)	Prec@5 14.062 (15.989)
Epoch: [10][5180/7045]	Time 0.571 (0.249)	Data 0.520 (0.185)	Loss 5.0614 (5.0088)	Prec@1 3.516 (4.663)	Prec@5 16.016 (15.990)
Epoch: [10][5190/7045]	Time 0.105 (0.248)	Data 0.053 (0.185)	Loss 5.1636 (5.0091)	Prec@1 1.562 (4.661)	Prec@5 7.031 (15.984)
Epoch: [10][5200/7045]	Time 0.490 (0.249)	Data 0.439 (0.185)	Loss 4.9958 (5.0093)	Prec@1 5.469 (4.660)	Prec@5 14.453 (15.979)
Epoch: [10][5210/7045]	Time 0.111 (0.248)	Data 0.059 (0.185)	Loss 5.0044 (5.0093)	Prec@1 5.859 (4.660)	Prec@5 16.797 (15.979)
Epoch: [10][5220/7045]	Time 0.496 (0.249)	Data 0.445 (0.185)	Loss 4.9677 (5.0093)	Prec@1 3.125 (4.661)	Prec@5 19.531 (15.980)
Epoch: [10][5230/7045]	Time 0.254 (0.248)	Data 0.203 (0.185)	Loss 4.9676 (5.0092)	Prec@1 3.125 (4.660)	Prec@5 18.359 (15.981)
Epoch: [10][5240/7045]	Time 0.378 (0.248)	Data 0.323 (0.185)	Loss 5.0485 (5.0091)	Prec@1 4.297 (4.661)	Prec@5 16.406 (15.984)
Epoch: [10][5250/7045]	Time 0.105 (0.248)	Data 0.053 (0.185)	Loss 5.0058 (5.0091)	Prec@1 7.422 (4.662)	Prec@5 13.281 (15.982)
Epoch: [10][5260/7045]	Time 0.315 (0.248)	Data 0.264 (0.185)	Loss 5.0576 (5.0091)	Prec@1 4.688 (4.662)	Prec@5 16.406 (15.982)
Epoch: [10][5270/7045]	Time 0.105 (0.248)	Data 0.047 (0.185)	Loss 5.1413 (5.0091)	Prec@1 2.344 (4.661)	Prec@5 13.281 (15.981)
Epoch: [10][5280/7045]	Time 0.175 (0.248)	Data 0.123 (0.185)	Loss 5.0145 (5.0092)	Prec@1 4.688 (4.661)	Prec@5 18.359 (15.981)
Epoch: [10][5290/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 5.0141 (5.0093)	Prec@1 3.516 (4.662)	Prec@5 17.188 (15.980)
Epoch: [10][5300/7045]	Time 0.102 (0.248)	Data 0.046 (0.185)	Loss 4.8685 (5.0092)	Prec@1 6.641 (4.663)	Prec@5 20.703 (15.982)
Epoch: [10][5310/7045]	Time 0.189 (0.248)	Data 0.139 (0.185)	Loss 5.0600 (5.0091)	Prec@1 2.734 (4.663)	Prec@5 18.359 (15.984)
Epoch: [10][5320/7045]	Time 0.323 (0.248)	Data 0.271 (0.185)	Loss 5.0466 (5.0091)	Prec@1 2.734 (4.663)	Prec@5 12.891 (15.981)
Epoch: [10][5330/7045]	Time 0.105 (0.248)	Data 0.052 (0.185)	Loss 4.9080 (5.0092)	Prec@1 7.031 (4.663)	Prec@5 19.922 (15.981)
Epoch: [10][5340/7045]	Time 0.290 (0.248)	Data 0.239 (0.185)	Loss 5.1016 (5.0092)	Prec@1 5.078 (4.662)	Prec@5 17.578 (15.981)
Epoch: [10][5350/7045]	Time 0.193 (0.248)	Data 0.143 (0.185)	Loss 5.0199 (5.0094)	Prec@1 3.125 (4.661)	Prec@5 13.672 (15.978)
Epoch: [10][5360/7045]	Time 0.262 (0.248)	Data 0.210 (0.185)	Loss 5.1136 (5.0094)	Prec@1 1.562 (4.660)	Prec@5 12.500 (15.976)
Epoch: [10][5370/7045]	Time 0.111 (0.248)	Data 0.060 (0.185)	Loss 4.9942 (5.0094)	Prec@1 3.906 (4.660)	Prec@5 13.672 (15.976)
Epoch: [10][5380/7045]	Time 0.276 (0.248)	Data 0.224 (0.185)	Loss 5.0142 (5.0094)	Prec@1 5.859 (4.659)	Prec@5 19.141 (15.976)
Epoch: [10][5390/7045]	Time 0.278 (0.248)	Data 0.226 (0.185)	Loss 5.0735 (5.0095)	Prec@1 2.344 (4.658)	Prec@5 14.844 (15.974)
Epoch: [10][5400/7045]	Time 0.193 (0.248)	Data 0.142 (0.185)	Loss 5.0221 (5.0095)	Prec@1 4.297 (4.658)	Prec@5 16.016 (15.975)
Epoch: [10][5410/7045]	Time 0.342 (0.248)	Data 0.291 (0.185)	Loss 5.1303 (5.0095)	Prec@1 4.297 (4.658)	Prec@5 15.234 (15.974)
Epoch: [10][5420/7045]	Time 0.204 (0.248)	Data 0.152 (0.185)	Loss 5.1401 (5.0095)	Prec@1 5.078 (4.659)	Prec@5 15.625 (15.975)
Epoch: [10][5430/7045]	Time 0.098 (0.248)	Data 0.001 (0.185)	Loss 4.9905 (5.0095)	Prec@1 5.469 (4.658)	Prec@5 16.016 (15.975)
Epoch: [10][5440/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 4.8603 (5.0094)	Prec@1 4.688 (4.659)	Prec@5 17.578 (15.978)
Epoch: [10][5450/7045]	Time 0.113 (0.248)	Data 0.060 (0.185)	Loss 4.9162 (5.0094)	Prec@1 7.031 (4.660)	Prec@5 18.750 (15.979)
Epoch: [10][5460/7045]	Time 0.588 (0.248)	Data 0.536 (0.185)	Loss 4.9910 (5.0093)	Prec@1 6.250 (4.661)	Prec@5 13.281 (15.979)
Epoch: [10][5470/7045]	Time 0.112 (0.248)	Data 0.059 (0.185)	Loss 4.9520 (5.0094)	Prec@1 5.469 (4.661)	Prec@5 17.969 (15.977)
Epoch: [10][5480/7045]	Time 0.646 (0.248)	Data 0.596 (0.185)	Loss 4.9667 (5.0093)	Prec@1 5.859 (4.661)	Prec@5 17.188 (15.978)
Epoch: [10][5490/7045]	Time 0.099 (0.248)	Data 0.048 (0.185)	Loss 5.0040 (5.0093)	Prec@1 5.469 (4.662)	Prec@5 14.062 (15.979)
Epoch: [10][5500/7045]	Time 0.645 (0.248)	Data 0.593 (0.185)	Loss 5.0192 (5.0093)	Prec@1 5.859 (4.662)	Prec@5 16.016 (15.979)
Epoch: [10][5510/7045]	Time 0.103 (0.248)	Data 0.001 (0.185)	Loss 4.9382 (5.0093)	Prec@1 6.641 (4.663)	Prec@5 19.531 (15.981)
Epoch: [10][5520/7045]	Time 0.386 (0.248)	Data 0.335 (0.185)	Loss 4.9365 (5.0092)	Prec@1 6.641 (4.662)	Prec@5 16.797 (15.982)
Epoch: [10][5530/7045]	Time 0.104 (0.248)	Data 0.051 (0.185)	Loss 5.0755 (5.0093)	Prec@1 4.297 (4.662)	Prec@5 16.797 (15.983)
Epoch: [10][5540/7045]	Time 0.108 (0.248)	Data 0.048 (0.185)	Loss 4.9417 (5.0092)	Prec@1 5.078 (4.662)	Prec@5 16.797 (15.984)
Epoch: [10][5550/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 5.1097 (5.0092)	Prec@1 5.078 (4.663)	Prec@5 13.281 (15.987)
Epoch: [10][5560/7045]	Time 0.127 (0.248)	Data 0.074 (0.185)	Loss 5.0083 (5.0093)	Prec@1 5.078 (4.664)	Prec@5 14.844 (15.985)
Epoch: [10][5570/7045]	Time 0.103 (0.248)	Data 0.050 (0.185)	Loss 5.0324 (5.0092)	Prec@1 5.078 (4.664)	Prec@5 13.281 (15.986)
Epoch: [10][5580/7045]	Time 0.101 (0.248)	Data 0.005 (0.185)	Loss 5.0693 (5.0092)	Prec@1 2.734 (4.665)	Prec@5 16.016 (15.988)
Epoch: [10][5590/7045]	Time 0.302 (0.248)	Data 0.249 (0.185)	Loss 5.1247 (5.0093)	Prec@1 3.516 (4.664)	Prec@5 16.406 (15.986)
Epoch: [10][5600/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 5.0723 (5.0094)	Prec@1 3.906 (4.663)	Prec@5 17.578 (15.985)
Epoch: [10][5610/7045]	Time 0.580 (0.248)	Data 0.530 (0.185)	Loss 4.8459 (5.0094)	Prec@1 8.203 (4.663)	Prec@5 20.703 (15.984)
Epoch: [10][5620/7045]	Time 0.112 (0.248)	Data 0.001 (0.185)	Loss 4.9330 (5.0094)	Prec@1 3.906 (4.663)	Prec@5 11.719 (15.983)
Epoch: [10][5630/7045]	Time 0.685 (0.248)	Data 0.625 (0.185)	Loss 4.9720 (5.0095)	Prec@1 4.688 (4.662)	Prec@5 16.016 (15.982)
Epoch: [10][5640/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 5.0643 (5.0095)	Prec@1 4.297 (4.662)	Prec@5 15.234 (15.983)
Epoch: [10][5650/7045]	Time 0.637 (0.248)	Data 0.585 (0.185)	Loss 4.9340 (5.0093)	Prec@1 5.469 (4.664)	Prec@5 17.969 (15.987)
Epoch: [10][5660/7045]	Time 0.106 (0.248)	Data 0.053 (0.185)	Loss 5.0684 (5.0092)	Prec@1 3.516 (4.664)	Prec@5 15.625 (15.988)
Epoch: [10][5670/7045]	Time 0.474 (0.248)	Data 0.421 (0.185)	Loss 4.8165 (5.0091)	Prec@1 6.250 (4.665)	Prec@5 21.094 (15.989)
Epoch: [10][5680/7045]	Time 0.246 (0.248)	Data 0.196 (0.185)	Loss 5.1158 (5.0091)	Prec@1 2.734 (4.664)	Prec@5 13.281 (15.989)
Epoch: [10][5690/7045]	Time 0.269 (0.248)	Data 0.217 (0.185)	Loss 4.8973 (5.0091)	Prec@1 4.688 (4.665)	Prec@5 20.312 (15.990)
Epoch: [10][5700/7045]	Time 0.101 (0.248)	Data 0.047 (0.185)	Loss 4.9204 (5.0092)	Prec@1 5.469 (4.663)	Prec@5 15.234 (15.988)
Epoch: [10][5710/7045]	Time 0.187 (0.248)	Data 0.135 (0.185)	Loss 4.9467 (5.0092)	Prec@1 6.250 (4.663)	Prec@5 16.797 (15.987)
Epoch: [10][5720/7045]	Time 0.138 (0.248)	Data 0.086 (0.185)	Loss 5.0095 (5.0092)	Prec@1 2.734 (4.663)	Prec@5 15.625 (15.988)
Epoch: [10][5730/7045]	Time 0.102 (0.248)	Data 0.019 (0.185)	Loss 4.9488 (5.0091)	Prec@1 7.812 (4.663)	Prec@5 17.578 (15.990)
Epoch: [10][5740/7045]	Time 0.456 (0.248)	Data 0.404 (0.185)	Loss 5.1513 (5.0091)	Prec@1 3.516 (4.662)	Prec@5 12.500 (15.989)
Epoch: [10][5750/7045]	Time 0.110 (0.248)	Data 0.059 (0.185)	Loss 5.0741 (5.0093)	Prec@1 3.516 (4.661)	Prec@5 14.844 (15.986)
Epoch: [10][5760/7045]	Time 0.504 (0.248)	Data 0.452 (0.185)	Loss 4.9539 (5.0092)	Prec@1 5.859 (4.661)	Prec@5 13.672 (15.986)
Epoch: [10][5770/7045]	Time 0.195 (0.248)	Data 0.136 (0.185)	Loss 4.9805 (5.0091)	Prec@1 4.688 (4.663)	Prec@5 14.844 (15.987)
Epoch: [10][5780/7045]	Time 0.472 (0.248)	Data 0.420 (0.185)	Loss 4.9790 (5.0090)	Prec@1 4.688 (4.663)	Prec@5 14.844 (15.988)
Epoch: [10][5790/7045]	Time 0.207 (0.248)	Data 0.156 (0.185)	Loss 4.8797 (5.0089)	Prec@1 4.297 (4.663)	Prec@5 19.531 (15.991)
Epoch: [10][5800/7045]	Time 0.307 (0.248)	Data 0.246 (0.185)	Loss 4.9204 (5.0089)	Prec@1 6.250 (4.663)	Prec@5 19.141 (15.993)
Epoch: [10][5810/7045]	Time 0.101 (0.248)	Data 0.049 (0.185)	Loss 5.0496 (5.0088)	Prec@1 2.734 (4.663)	Prec@5 16.406 (15.995)
Epoch: [10][5820/7045]	Time 0.227 (0.248)	Data 0.176 (0.185)	Loss 5.0652 (5.0087)	Prec@1 5.078 (4.663)	Prec@5 16.016 (15.997)
Epoch: [10][5830/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 5.0567 (5.0087)	Prec@1 7.422 (4.663)	Prec@5 19.531 (15.998)
Epoch: [10][5840/7045]	Time 0.158 (0.248)	Data 0.107 (0.185)	Loss 5.1448 (5.0088)	Prec@1 3.125 (4.664)	Prec@5 14.453 (15.998)
Epoch: [10][5850/7045]	Time 0.101 (0.248)	Data 0.009 (0.185)	Loss 4.9494 (5.0088)	Prec@1 5.078 (4.663)	Prec@5 17.188 (15.997)
Epoch: [10][5860/7045]	Time 0.109 (0.248)	Data 0.058 (0.185)	Loss 4.8744 (5.0087)	Prec@1 6.641 (4.663)	Prec@5 19.141 (15.997)
Epoch: [10][5870/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 4.9975 (5.0087)	Prec@1 4.297 (4.663)	Prec@5 17.578 (15.997)
Epoch: [10][5880/7045]	Time 0.102 (0.248)	Data 0.002 (0.185)	Loss 5.0198 (5.0087)	Prec@1 4.688 (4.662)	Prec@5 16.016 (15.996)
Epoch: [10][5890/7045]	Time 0.245 (0.248)	Data 0.193 (0.185)	Loss 4.9598 (5.0088)	Prec@1 5.469 (4.661)	Prec@5 16.797 (15.994)
Epoch: [10][5900/7045]	Time 0.101 (0.248)	Data 0.015 (0.185)	Loss 4.9453 (5.0088)	Prec@1 5.859 (4.659)	Prec@5 19.531 (15.993)
Epoch: [10][5910/7045]	Time 0.247 (0.248)	Data 0.195 (0.185)	Loss 5.0878 (5.0087)	Prec@1 5.078 (4.660)	Prec@5 14.453 (15.996)
Epoch: [10][5920/7045]	Time 0.101 (0.248)	Data 0.005 (0.185)	Loss 5.0942 (5.0087)	Prec@1 3.906 (4.660)	Prec@5 15.234 (15.997)
Epoch: [10][5930/7045]	Time 0.319 (0.248)	Data 0.269 (0.185)	Loss 4.8961 (5.0087)	Prec@1 6.641 (4.661)	Prec@5 17.188 (15.998)
Epoch: [10][5940/7045]	Time 0.102 (0.248)	Data 0.007 (0.185)	Loss 4.9595 (5.0086)	Prec@1 5.078 (4.661)	Prec@5 19.141 (15.999)
Epoch: [10][5950/7045]	Time 0.243 (0.248)	Data 0.192 (0.185)	Loss 4.9509 (5.0086)	Prec@1 5.469 (4.662)	Prec@5 19.922 (16.001)
Epoch: [10][5960/7045]	Time 0.308 (0.248)	Data 0.257 (0.185)	Loss 5.0208 (5.0086)	Prec@1 2.734 (4.662)	Prec@5 17.188 (16.001)
Epoch: [10][5970/7045]	Time 0.253 (0.248)	Data 0.193 (0.185)	Loss 5.0898 (5.0087)	Prec@1 5.469 (4.662)	Prec@5 15.625 (16.001)
Epoch: [10][5980/7045]	Time 0.521 (0.248)	Data 0.470 (0.185)	Loss 4.9053 (5.0086)	Prec@1 3.125 (4.662)	Prec@5 17.578 (16.002)
Epoch: [10][5990/7045]	Time 0.109 (0.248)	Data 0.058 (0.185)	Loss 4.8717 (5.0084)	Prec@1 7.422 (4.662)	Prec@5 16.016 (16.005)
Epoch: [10][6000/7045]	Time 0.684 (0.248)	Data 0.631 (0.185)	Loss 4.9881 (5.0085)	Prec@1 5.469 (4.662)	Prec@5 16.797 (16.004)
Epoch: [10][6010/7045]	Time 0.103 (0.248)	Data 0.001 (0.185)	Loss 4.8892 (5.0085)	Prec@1 3.906 (4.661)	Prec@5 16.406 (16.003)
Epoch: [10][6020/7045]	Time 0.720 (0.248)	Data 0.659 (0.185)	Loss 5.1447 (5.0085)	Prec@1 5.859 (4.660)	Prec@5 14.844 (16.003)
Epoch: [10][6030/7045]	Time 0.138 (0.248)	Data 0.086 (0.184)	Loss 4.9240 (5.0085)	Prec@1 3.125 (4.660)	Prec@5 19.141 (16.005)
Epoch: [10][6040/7045]	Time 0.580 (0.248)	Data 0.523 (0.184)	Loss 4.8775 (5.0083)	Prec@1 5.859 (4.661)	Prec@5 21.875 (16.008)
Epoch: [10][6050/7045]	Time 0.138 (0.248)	Data 0.086 (0.184)	Loss 5.1012 (5.0084)	Prec@1 3.516 (4.661)	Prec@5 13.281 (16.008)
Epoch: [10][6060/7045]	Time 0.490 (0.248)	Data 0.439 (0.184)	Loss 4.8761 (5.0083)	Prec@1 6.250 (4.660)	Prec@5 17.969 (16.007)
Epoch: [10][6070/7045]	Time 0.109 (0.248)	Data 0.057 (0.184)	Loss 5.0356 (5.0084)	Prec@1 3.125 (4.659)	Prec@5 16.797 (16.006)
Epoch: [10][6080/7045]	Time 0.399 (0.248)	Data 0.347 (0.184)	Loss 4.9893 (5.0082)	Prec@1 3.906 (4.661)	Prec@5 17.969 (16.009)
Epoch: [10][6090/7045]	Time 0.103 (0.248)	Data 0.001 (0.184)	Loss 4.9966 (5.0081)	Prec@1 4.688 (4.661)	Prec@5 18.359 (16.012)
Epoch: [10][6100/7045]	Time 0.382 (0.248)	Data 0.331 (0.184)	Loss 4.8789 (5.0081)	Prec@1 5.859 (4.661)	Prec@5 16.406 (16.011)
Epoch: [10][6110/7045]	Time 0.115 (0.248)	Data 0.063 (0.184)	Loss 4.9778 (5.0081)	Prec@1 5.078 (4.660)	Prec@5 17.578 (16.010)
Epoch: [10][6120/7045]	Time 0.108 (0.248)	Data 0.053 (0.184)	Loss 5.0157 (5.0081)	Prec@1 6.250 (4.661)	Prec@5 16.797 (16.011)
Epoch: [10][6130/7045]	Time 0.105 (0.248)	Data 0.053 (0.184)	Loss 5.0254 (5.0081)	Prec@1 5.469 (4.661)	Prec@5 15.625 (16.010)
Epoch: [10][6140/7045]	Time 0.161 (0.248)	Data 0.110 (0.184)	Loss 5.0318 (5.0081)	Prec@1 3.906 (4.661)	Prec@5 17.188 (16.009)
Epoch: [10][6150/7045]	Time 0.250 (0.248)	Data 0.199 (0.184)	Loss 4.9217 (5.0081)	Prec@1 5.859 (4.661)	Prec@5 15.625 (16.009)
Epoch: [10][6160/7045]	Time 0.371 (0.248)	Data 0.319 (0.184)	Loss 4.8816 (5.0080)	Prec@1 5.078 (4.660)	Prec@5 16.016 (16.009)
Epoch: [10][6170/7045]	Time 0.230 (0.248)	Data 0.172 (0.184)	Loss 5.1953 (5.0080)	Prec@1 5.078 (4.661)	Prec@5 15.234 (16.009)
Epoch: [10][6180/7045]	Time 0.503 (0.248)	Data 0.453 (0.184)	Loss 4.9807 (5.0081)	Prec@1 6.250 (4.660)	Prec@5 17.578 (16.008)
Epoch: [10][6190/7045]	Time 0.180 (0.248)	Data 0.128 (0.185)	Loss 5.0167 (5.0080)	Prec@1 1.172 (4.658)	Prec@5 11.719 (16.007)
Epoch: [10][6200/7045]	Time 0.745 (0.248)	Data 0.694 (0.185)	Loss 4.8919 (5.0080)	Prec@1 6.250 (4.657)	Prec@5 15.234 (16.006)
Epoch: [10][6210/7045]	Time 0.110 (0.248)	Data 0.001 (0.184)	Loss 5.1606 (5.0080)	Prec@1 3.906 (4.658)	Prec@5 17.969 (16.007)
Epoch: [10][6220/7045]	Time 0.550 (0.248)	Data 0.499 (0.184)	Loss 4.8778 (5.0079)	Prec@1 7.422 (4.659)	Prec@5 20.312 (16.009)
Epoch: [10][6230/7045]	Time 0.101 (0.248)	Data 0.001 (0.184)	Loss 5.0392 (5.0079)	Prec@1 4.688 (4.660)	Prec@5 17.188 (16.009)
Epoch: [10][6240/7045]	Time 0.690 (0.248)	Data 0.638 (0.185)	Loss 5.0352 (5.0079)	Prec@1 4.297 (4.659)	Prec@5 13.672 (16.007)
Epoch: [10][6250/7045]	Time 0.108 (0.248)	Data 0.001 (0.184)	Loss 5.1340 (5.0080)	Prec@1 2.734 (4.657)	Prec@5 12.891 (16.004)
Epoch: [10][6260/7045]	Time 0.593 (0.248)	Data 0.541 (0.184)	Loss 5.1679 (5.0080)	Prec@1 1.953 (4.657)	Prec@5 15.234 (16.004)
Epoch: [10][6270/7045]	Time 0.103 (0.248)	Data 0.050 (0.184)	Loss 5.0081 (5.0081)	Prec@1 4.688 (4.656)	Prec@5 18.750 (16.004)
Epoch: [10][6280/7045]	Time 0.250 (0.248)	Data 0.198 (0.184)	Loss 4.9292 (5.0081)	Prec@1 5.469 (4.656)	Prec@5 17.578 (16.003)
Epoch: [10][6290/7045]	Time 0.169 (0.248)	Data 0.118 (0.184)	Loss 4.8161 (5.0080)	Prec@1 6.250 (4.657)	Prec@5 16.406 (16.005)
Epoch: [10][6300/7045]	Time 0.102 (0.248)	Data 0.047 (0.184)	Loss 4.9276 (5.0079)	Prec@1 5.859 (4.658)	Prec@5 16.406 (16.007)
Epoch: [10][6310/7045]	Time 0.105 (0.248)	Data 0.053 (0.184)	Loss 4.9631 (5.0079)	Prec@1 4.688 (4.659)	Prec@5 15.625 (16.008)
Epoch: [10][6320/7045]	Time 0.272 (0.248)	Data 0.215 (0.184)	Loss 5.0459 (5.0079)	Prec@1 5.078 (4.658)	Prec@5 15.625 (16.007)
Epoch: [10][6330/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 5.0052 (5.0080)	Prec@1 2.344 (4.657)	Prec@5 18.359 (16.006)
Epoch: [10][6340/7045]	Time 0.330 (0.248)	Data 0.279 (0.184)	Loss 5.0764 (5.0081)	Prec@1 4.688 (4.656)	Prec@5 12.109 (16.006)
Epoch: [10][6350/7045]	Time 0.205 (0.248)	Data 0.154 (0.184)	Loss 4.8005 (5.0080)	Prec@1 5.469 (4.657)	Prec@5 22.266 (16.007)
Epoch: [10][6360/7045]	Time 0.101 (0.248)	Data 0.001 (0.184)	Loss 4.9914 (5.0080)	Prec@1 5.078 (4.656)	Prec@5 16.797 (16.007)
Epoch: [10][6370/7045]	Time 0.470 (0.248)	Data 0.418 (0.184)	Loss 5.0830 (5.0080)	Prec@1 6.250 (4.658)	Prec@5 15.625 (16.008)
Epoch: [10][6380/7045]	Time 0.102 (0.248)	Data 0.006 (0.184)	Loss 4.8842 (5.0080)	Prec@1 5.469 (4.657)	Prec@5 16.406 (16.007)
Epoch: [10][6390/7045]	Time 0.707 (0.248)	Data 0.656 (0.184)	Loss 5.1157 (5.0080)	Prec@1 5.469 (4.658)	Prec@5 16.016 (16.007)
Epoch: [10][6400/7045]	Time 0.103 (0.248)	Data 0.001 (0.184)	Loss 5.1158 (5.0081)	Prec@1 3.516 (4.658)	Prec@5 14.062 (16.006)
Epoch: [10][6410/7045]	Time 0.594 (0.248)	Data 0.543 (0.184)	Loss 5.0483 (5.0082)	Prec@1 6.641 (4.659)	Prec@5 16.406 (16.005)
Epoch: [10][6420/7045]	Time 0.287 (0.248)	Data 0.233 (0.184)	Loss 4.8848 (5.0082)	Prec@1 6.250 (4.659)	Prec@5 20.703 (16.004)
Epoch: [10][6430/7045]	Time 0.535 (0.248)	Data 0.482 (0.184)	Loss 4.9551 (5.0081)	Prec@1 4.688 (4.659)	Prec@5 14.062 (16.004)
Epoch: [10][6440/7045]	Time 0.178 (0.248)	Data 0.124 (0.184)	Loss 5.0087 (5.0081)	Prec@1 5.078 (4.660)	Prec@5 15.625 (16.005)
Epoch: [10][6450/7045]	Time 0.346 (0.248)	Data 0.295 (0.184)	Loss 4.9220 (5.0080)	Prec@1 4.688 (4.661)	Prec@5 17.969 (16.006)
Epoch: [10][6460/7045]	Time 0.100 (0.248)	Data 0.004 (0.184)	Loss 4.9044 (5.0080)	Prec@1 7.031 (4.662)	Prec@5 21.094 (16.007)
Epoch: [10][6470/7045]	Time 0.277 (0.248)	Data 0.225 (0.184)	Loss 4.8819 (5.0079)	Prec@1 7.031 (4.662)	Prec@5 17.188 (16.008)
Epoch: [10][6480/7045]	Time 0.113 (0.248)	Data 0.061 (0.184)	Loss 5.0117 (5.0079)	Prec@1 4.297 (4.662)	Prec@5 14.844 (16.006)
Epoch: [10][6490/7045]	Time 0.156 (0.248)	Data 0.105 (0.184)	Loss 5.0298 (5.0080)	Prec@1 3.906 (4.661)	Prec@5 14.844 (16.005)
Epoch: [10][6500/7045]	Time 0.245 (0.248)	Data 0.188 (0.184)	Loss 5.1242 (5.0081)	Prec@1 3.125 (4.660)	Prec@5 13.281 (16.004)
Epoch: [10][6510/7045]	Time 0.291 (0.248)	Data 0.239 (0.184)	Loss 5.0663 (5.0083)	Prec@1 3.906 (4.659)	Prec@5 16.406 (16.002)
Epoch: [10][6520/7045]	Time 0.323 (0.248)	Data 0.271 (0.184)	Loss 4.9652 (5.0083)	Prec@1 6.250 (4.660)	Prec@5 17.578 (16.002)
Epoch: [10][6530/7045]	Time 0.212 (0.248)	Data 0.162 (0.184)	Loss 4.9627 (5.0083)	Prec@1 4.688 (4.660)	Prec@5 15.625 (16.002)
Epoch: [10][6540/7045]	Time 0.105 (0.248)	Data 0.052 (0.184)	Loss 5.1039 (5.0083)	Prec@1 3.906 (4.659)	Prec@5 13.672 (16.002)
Epoch: [10][6550/7045]	Time 0.103 (0.248)	Data 0.009 (0.184)	Loss 4.9330 (5.0082)	Prec@1 7.031 (4.659)	Prec@5 19.531 (16.003)
Epoch: [10][6560/7045]	Time 0.102 (0.248)	Data 0.005 (0.184)	Loss 4.9751 (5.0082)	Prec@1 4.688 (4.661)	Prec@5 15.625 (16.004)
Epoch: [10][6570/7045]	Time 0.104 (0.248)	Data 0.051 (0.184)	Loss 5.0630 (5.0083)	Prec@1 5.078 (4.661)	Prec@5 15.625 (16.002)
Epoch: [10][6580/7045]	Time 0.104 (0.248)	Data 0.001 (0.184)	Loss 5.1439 (5.0084)	Prec@1 3.906 (4.661)	Prec@5 15.234 (16.000)
Epoch: [10][6590/7045]	Time 0.448 (0.248)	Data 0.397 (0.184)	Loss 5.0161 (5.0085)	Prec@1 5.078 (4.660)	Prec@5 10.938 (15.998)
Epoch: [10][6600/7045]	Time 0.104 (0.248)	Data 0.052 (0.184)	Loss 4.9112 (5.0084)	Prec@1 6.641 (4.660)	Prec@5 21.875 (15.998)
Epoch: [10][6610/7045]	Time 0.309 (0.248)	Data 0.257 (0.184)	Loss 4.8439 (5.0082)	Prec@1 6.641 (4.660)	Prec@5 22.266 (15.999)
Epoch: [10][6620/7045]	Time 0.358 (0.248)	Data 0.306 (0.185)	Loss 5.1617 (5.0083)	Prec@1 3.906 (4.659)	Prec@5 14.062 (15.996)
Epoch: [10][6630/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 5.1656 (5.0084)	Prec@1 4.297 (4.659)	Prec@5 12.109 (15.996)
Epoch: [10][6640/7045]	Time 0.401 (0.248)	Data 0.350 (0.185)	Loss 5.1150 (5.0085)	Prec@1 3.125 (4.658)	Prec@5 12.500 (15.993)
Epoch: [10][6650/7045]	Time 0.438 (0.248)	Data 0.387 (0.185)	Loss 5.1376 (5.0086)	Prec@1 3.516 (4.657)	Prec@5 12.891 (15.992)
Epoch: [10][6660/7045]	Time 0.156 (0.248)	Data 0.103 (0.185)	Loss 5.0661 (5.0087)	Prec@1 3.125 (4.657)	Prec@5 12.891 (15.991)
Epoch: [10][6670/7045]	Time 0.433 (0.248)	Data 0.382 (0.185)	Loss 5.0871 (5.0087)	Prec@1 3.516 (4.656)	Prec@5 13.672 (15.990)
Epoch: [10][6680/7045]	Time 0.146 (0.248)	Data 0.094 (0.185)	Loss 5.1342 (5.0088)	Prec@1 5.078 (4.655)	Prec@5 14.844 (15.988)
Epoch: [10][6690/7045]	Time 0.101 (0.248)	Data 0.007 (0.185)	Loss 5.1008 (5.0088)	Prec@1 6.250 (4.655)	Prec@5 12.109 (15.988)
Epoch: [10][6700/7045]	Time 0.105 (0.248)	Data 0.054 (0.185)	Loss 5.0696 (5.0090)	Prec@1 5.078 (4.654)	Prec@5 16.406 (15.985)
Epoch: [10][6710/7045]	Time 0.350 (0.248)	Data 0.299 (0.185)	Loss 4.9531 (5.0090)	Prec@1 6.250 (4.653)	Prec@5 18.359 (15.985)
Epoch: [10][6720/7045]	Time 0.334 (0.248)	Data 0.285 (0.185)	Loss 4.9948 (5.0090)	Prec@1 5.469 (4.654)	Prec@5 17.188 (15.984)
Epoch: [10][6730/7045]	Time 0.174 (0.248)	Data 0.122 (0.185)	Loss 5.1885 (5.0091)	Prec@1 2.344 (4.653)	Prec@5 13.672 (15.983)
Epoch: [10][6740/7045]	Time 0.459 (0.248)	Data 0.407 (0.185)	Loss 5.0858 (5.0091)	Prec@1 5.078 (4.653)	Prec@5 16.797 (15.983)
Epoch: [10][6750/7045]	Time 0.113 (0.248)	Data 0.061 (0.185)	Loss 5.0837 (5.0091)	Prec@1 3.516 (4.652)	Prec@5 13.281 (15.982)
Epoch: [10][6760/7045]	Time 0.269 (0.248)	Data 0.217 (0.185)	Loss 4.8805 (5.0092)	Prec@1 5.078 (4.652)	Prec@5 17.969 (15.982)
Epoch: [10][6770/7045]	Time 0.333 (0.248)	Data 0.281 (0.185)	Loss 5.2094 (5.0095)	Prec@1 4.297 (4.651)	Prec@5 10.547 (15.977)
Epoch: [10][6780/7045]	Time 0.102 (0.248)	Data 0.009 (0.185)	Loss 5.0849 (5.0096)	Prec@1 4.688 (4.650)	Prec@5 14.844 (15.975)
Epoch: [10][6790/7045]	Time 0.225 (0.248)	Data 0.174 (0.185)	Loss 5.0262 (5.0096)	Prec@1 5.078 (4.651)	Prec@5 14.062 (15.974)
Epoch: [10][6800/7045]	Time 0.109 (0.248)	Data 0.005 (0.185)	Loss 5.0624 (5.0097)	Prec@1 5.078 (4.651)	Prec@5 17.188 (15.974)
Epoch: [10][6810/7045]	Time 0.226 (0.248)	Data 0.175 (0.185)	Loss 4.9929 (5.0096)	Prec@1 3.906 (4.650)	Prec@5 16.797 (15.976)
Epoch: [10][6820/7045]	Time 0.107 (0.248)	Data 0.055 (0.185)	Loss 5.1067 (5.0097)	Prec@1 3.516 (4.650)	Prec@5 16.406 (15.976)
Epoch: [10][6830/7045]	Time 0.103 (0.248)	Data 0.005 (0.185)	Loss 4.8584 (5.0097)	Prec@1 3.516 (4.650)	Prec@5 20.703 (15.975)
Epoch: [10][6840/7045]	Time 0.237 (0.248)	Data 0.186 (0.185)	Loss 5.0186 (5.0097)	Prec@1 3.906 (4.649)	Prec@5 16.406 (15.974)
Epoch: [10][6850/7045]	Time 0.254 (0.248)	Data 0.203 (0.185)	Loss 4.9876 (5.0097)	Prec@1 3.906 (4.650)	Prec@5 16.797 (15.975)
Epoch: [10][6860/7045]	Time 0.496 (0.248)	Data 0.445 (0.185)	Loss 5.1898 (5.0097)	Prec@1 3.125 (4.650)	Prec@5 11.328 (15.975)
Epoch: [10][6870/7045]	Time 0.335 (0.248)	Data 0.284 (0.185)	Loss 5.0489 (5.0097)	Prec@1 4.297 (4.650)	Prec@5 15.625 (15.973)
Epoch: [10][6880/7045]	Time 0.379 (0.248)	Data 0.328 (0.185)	Loss 5.0623 (5.0098)	Prec@1 3.906 (4.649)	Prec@5 14.453 (15.971)
Epoch: [10][6890/7045]	Time 0.122 (0.248)	Data 0.071 (0.185)	Loss 5.2776 (5.0099)	Prec@1 2.734 (4.648)	Prec@5 10.938 (15.970)
Epoch: [10][6900/7045]	Time 0.274 (0.248)	Data 0.222 (0.185)	Loss 4.9492 (5.0099)	Prec@1 5.859 (4.648)	Prec@5 15.234 (15.968)
Epoch: [10][6910/7045]	Time 0.110 (0.248)	Data 0.058 (0.185)	Loss 5.0667 (5.0100)	Prec@1 4.297 (4.647)	Prec@5 13.672 (15.967)
Epoch: [10][6920/7045]	Time 0.102 (0.248)	Data 0.003 (0.185)	Loss 5.1263 (5.0100)	Prec@1 5.078 (4.648)	Prec@5 14.844 (15.966)
Epoch: [10][6930/7045]	Time 0.433 (0.248)	Data 0.381 (0.185)	Loss 4.9832 (5.0102)	Prec@1 5.078 (4.647)	Prec@5 14.844 (15.963)
Epoch: [10][6940/7045]	Time 0.101 (0.248)	Data 0.003 (0.185)	Loss 5.1750 (5.0102)	Prec@1 3.125 (4.647)	Prec@5 11.719 (15.962)
Epoch: [10][6950/7045]	Time 0.696 (0.248)	Data 0.646 (0.185)	Loss 5.1076 (5.0102)	Prec@1 4.688 (4.647)	Prec@5 17.188 (15.962)
Epoch: [10][6960/7045]	Time 0.109 (0.248)	Data 0.055 (0.185)	Loss 5.0749 (5.0102)	Prec@1 3.125 (4.648)	Prec@5 16.797 (15.962)
Epoch: [10][6970/7045]	Time 0.441 (0.248)	Data 0.389 (0.185)	Loss 5.0191 (5.0102)	Prec@1 3.516 (4.648)	Prec@5 16.016 (15.962)
Epoch: [10][6980/7045]	Time 0.128 (0.248)	Data 0.077 (0.185)	Loss 5.0559 (5.0103)	Prec@1 4.688 (4.647)	Prec@5 15.234 (15.960)
Epoch: [10][6990/7045]	Time 0.369 (0.248)	Data 0.312 (0.185)	Loss 5.1084 (5.0104)	Prec@1 4.297 (4.647)	Prec@5 14.062 (15.959)
Epoch: [10][7000/7045]	Time 0.316 (0.248)	Data 0.264 (0.185)	Loss 4.9721 (5.0104)	Prec@1 4.688 (4.646)	Prec@5 12.500 (15.958)
Epoch: [10][7010/7045]	Time 0.176 (0.248)	Data 0.123 (0.185)	Loss 4.8855 (5.0103)	Prec@1 3.516 (4.646)	Prec@5 20.312 (15.960)
Epoch: [10][7020/7045]	Time 0.239 (0.248)	Data 0.187 (0.185)	Loss 5.1581 (5.0104)	Prec@1 4.688 (4.646)	Prec@5 12.500 (15.958)
Epoch: [10][7030/7045]	Time 0.102 (0.248)	Data 0.043 (0.185)	Loss 5.1282 (5.0105)	Prec@1 4.297 (4.645)	Prec@5 15.234 (15.955)
Epoch: [10][7040/7045]	Time 0.422 (0.248)	Data 0.372 (0.185)	Loss 5.1848 (5.0106)	Prec@1 2.734 (4.644)	Prec@5 11.719 (15.951)
Test: [0/143]	Time 1.621 (1.621)	Loss 4.8481 (4.8481)	Prec@1 4.688 (4.688)	Prec@5 16.406 (16.406)
Test: [10/143]	Time 0.143 (0.254)	Loss 4.8179 (4.9732)	Prec@1 4.297 (4.510)	Prec@5 21.875 (16.868)
Test: [20/143]	Time 0.103 (0.227)	Loss 5.0179 (4.9362)	Prec@1 1.562 (4.836)	Prec@5 10.547 (17.857)
Test: [30/143]	Time 0.220 (0.216)	Loss 4.7481 (4.9267)	Prec@1 3.125 (4.448)	Prec@5 26.562 (17.969)
Test: [40/143]	Time 0.231 (0.209)	Loss 5.0618 (4.9396)	Prec@1 3.516 (4.659)	Prec@5 13.672 (16.978)
Test: [50/143]	Time 0.048 (0.205)	Loss 4.4077 (4.9309)	Prec@1 15.625 (4.642)	Prec@5 38.281 (16.713)
Test: [60/143]	Time 0.127 (0.203)	Loss 5.4222 (4.9066)	Prec@1 0.391 (5.232)	Prec@5 6.250 (18.097)
Test: [70/143]	Time 0.152 (0.201)	Loss 4.9982 (4.9022)	Prec@1 2.734 (5.309)	Prec@5 12.500 (18.266)
Test: [80/143]	Time 0.417 (0.201)	Loss 5.0149 (4.9072)	Prec@1 3.125 (5.204)	Prec@5 9.375 (18.239)
Test: [90/143]	Time 0.253 (0.199)	Loss 4.8128 (4.8969)	Prec@1 3.906 (5.353)	Prec@5 19.922 (18.638)
Test: [100/143]	Time 0.477 (0.198)	Loss 4.6499 (4.8946)	Prec@1 10.547 (5.426)	Prec@5 36.328 (18.874)
Test: [110/143]	Time 0.049 (0.195)	Loss 4.6386 (4.8825)	Prec@1 10.156 (5.719)	Prec@5 29.688 (19.267)
Test: [120/143]	Time 0.405 (0.195)	Loss 4.9244 (4.8813)	Prec@1 3.516 (5.827)	Prec@5 26.953 (19.334)
Test: [130/143]	Time 0.121 (0.192)	Loss 4.8682 (4.8818)	Prec@1 4.297 (5.770)	Prec@5 23.438 (19.269)
Test: [140/143]	Time 0.365 (0.191)	Loss 5.1191 (4.8888)	Prec@1 1.172 (5.696)	Prec@5 5.859 (19.038)
 * Prec@1 5.671 Prec@5 18.997
Epoch: [11][0/7045]	Time 2.693 (2.693)	Data 2.627 (2.627)	Loss 5.0498 (5.0498)	Prec@1 3.125 (3.125)	Prec@5 12.109 (12.109)
Epoch: [11][10/7045]	Time 0.307 (0.445)	Data 0.255 (0.372)	Loss 4.9852 (5.0234)	Prec@1 3.906 (4.190)	Prec@5 15.625 (14.347)
Epoch: [11][20/7045]	Time 0.538 (0.368)	Data 0.487 (0.301)	Loss 5.0262 (5.0166)	Prec@1 5.859 (4.706)	Prec@5 16.406 (15.179)
Epoch: [11][30/7045]	Time 0.186 (0.322)	Data 0.135 (0.253)	Loss 5.0905 (5.0231)	Prec@1 3.125 (4.662)	Prec@5 13.281 (15.386)
Epoch: [11][40/7045]	Time 0.101 (0.306)	Data 0.047 (0.239)	Loss 5.0598 (5.0239)	Prec@1 5.469 (4.726)	Prec@5 20.703 (15.492)
Epoch: [11][50/7045]	Time 0.101 (0.291)	Data 0.001 (0.221)	Loss 4.8830 (5.0288)	Prec@1 4.297 (4.726)	Prec@5 15.625 (15.449)
Epoch: [11][60/7045]	Time 0.170 (0.289)	Data 0.118 (0.219)	Loss 4.9064 (5.0248)	Prec@1 4.688 (4.732)	Prec@5 18.359 (15.574)
Epoch: [11][70/7045]	Time 0.600 (0.285)	Data 0.550 (0.215)	Loss 4.9805 (5.0189)	Prec@1 5.078 (4.770)	Prec@5 15.625 (15.735)
Epoch: [11][80/7045]	Time 0.102 (0.280)	Data 0.001 (0.209)	Loss 4.9296 (5.0202)	Prec@1 4.297 (4.755)	Prec@5 13.672 (15.591)
Epoch: [11][90/7045]	Time 0.613 (0.277)	Data 0.562 (0.207)	Loss 4.9533 (5.0227)	Prec@1 6.250 (4.778)	Prec@5 18.750 (15.612)
Epoch: [11][100/7045]	Time 0.102 (0.272)	Data 0.003 (0.202)	Loss 4.9573 (5.0209)	Prec@1 7.422 (4.773)	Prec@5 17.188 (15.668)
Epoch: [11][110/7045]	Time 0.102 (0.271)	Data 0.012 (0.202)	Loss 4.9855 (5.0192)	Prec@1 4.297 (4.712)	Prec@5 15.625 (15.724)
Epoch: [11][120/7045]	Time 0.102 (0.268)	Data 0.051 (0.199)	Loss 4.9758 (5.0200)	Prec@1 3.906 (4.713)	Prec@5 17.188 (15.648)
Epoch: [11][130/7045]	Time 0.119 (0.269)	Data 0.059 (0.200)	Loss 5.0093 (5.0207)	Prec@1 3.125 (4.679)	Prec@5 17.188 (15.655)
Epoch: [11][140/7045]	Time 0.554 (0.268)	Data 0.503 (0.200)	Loss 4.9850 (5.0209)	Prec@1 6.250 (4.740)	Prec@5 18.359 (15.711)
Epoch: [11][150/7045]	Time 0.101 (0.265)	Data 0.025 (0.197)	Loss 4.9949 (5.0237)	Prec@1 3.516 (4.662)	Prec@5 16.797 (15.656)
Epoch: [11][160/7045]	Time 0.348 (0.266)	Data 0.297 (0.199)	Loss 4.9978 (5.0269)	Prec@1 3.125 (4.629)	Prec@5 18.359 (15.652)
Epoch: [11][170/7045]	Time 0.149 (0.264)	Data 0.099 (0.197)	Loss 5.0704 (5.0291)	Prec@1 3.516 (4.589)	Prec@5 18.750 (15.639)
Epoch: [11][180/7045]	Time 0.529 (0.265)	Data 0.479 (0.198)	Loss 4.9410 (5.0293)	Prec@1 5.859 (4.597)	Prec@5 15.625 (15.629)
Epoch: [11][190/7045]	Time 0.248 (0.265)	Data 0.197 (0.199)	Loss 5.1370 (5.0297)	Prec@1 3.516 (4.567)	Prec@5 10.156 (15.598)
Epoch: [11][200/7045]	Time 0.105 (0.263)	Data 0.054 (0.197)	Loss 4.8473 (5.0264)	Prec@1 7.031 (4.592)	Prec@5 21.484 (15.728)
Epoch: [11][210/7045]	Time 0.316 (0.263)	Data 0.265 (0.197)	Loss 5.0572 (5.0259)	Prec@1 5.078 (4.597)	Prec@5 14.453 (15.743)
Epoch: [11][220/7045]	Time 0.168 (0.262)	Data 0.117 (0.197)	Loss 5.0153 (5.0246)	Prec@1 3.125 (4.597)	Prec@5 16.406 (15.756)
Epoch: [11][230/7045]	Time 0.324 (0.262)	Data 0.273 (0.197)	Loss 5.0028 (5.0247)	Prec@1 5.078 (4.603)	Prec@5 16.016 (15.750)
Epoch: [11][240/7045]	Time 0.179 (0.260)	Data 0.128 (0.196)	Loss 4.9714 (5.0251)	Prec@1 3.125 (4.598)	Prec@5 19.922 (15.763)
Epoch: [11][250/7045]	Time 0.339 (0.260)	Data 0.288 (0.197)	Loss 4.9905 (5.0258)	Prec@1 4.297 (4.577)	Prec@5 15.625 (15.748)
Epoch: [11][260/7045]	Time 0.386 (0.260)	Data 0.333 (0.197)	Loss 5.1075 (5.0262)	Prec@1 2.734 (4.547)	Prec@5 14.453 (15.751)
Epoch: [11][270/7045]	Time 0.491 (0.260)	Data 0.432 (0.197)	Loss 5.0335 (5.0256)	Prec@1 5.469 (4.546)	Prec@5 14.062 (15.719)
Epoch: [11][280/7045]	Time 0.238 (0.260)	Data 0.187 (0.197)	Loss 4.8357 (5.0251)	Prec@1 5.859 (4.544)	Prec@5 20.703 (15.738)
Epoch: [11][290/7045]	Time 0.120 (0.259)	Data 0.068 (0.196)	Loss 5.0064 (5.0228)	Prec@1 4.688 (4.568)	Prec@5 15.234 (15.786)
Epoch: [11][300/7045]	Time 0.102 (0.259)	Data 0.013 (0.196)	Loss 5.0482 (5.0215)	Prec@1 4.297 (4.594)	Prec@5 16.406 (15.837)
Epoch: [11][310/7045]	Time 0.132 (0.259)	Data 0.080 (0.196)	Loss 5.0065 (5.0223)	Prec@1 6.250 (4.583)	Prec@5 13.281 (15.792)
Epoch: [11][320/7045]	Time 0.150 (0.259)	Data 0.098 (0.196)	Loss 4.9132 (5.0219)	Prec@1 6.250 (4.584)	Prec@5 16.797 (15.789)
Epoch: [11][330/7045]	Time 0.109 (0.259)	Data 0.057 (0.196)	Loss 4.9936 (5.0200)	Prec@1 4.688 (4.614)	Prec@5 19.531 (15.833)
Epoch: [11][340/7045]	Time 0.208 (0.259)	Data 0.157 (0.196)	Loss 5.3058 (5.0221)	Prec@1 3.906 (4.616)	Prec@5 14.062 (15.809)
Epoch: [11][350/7045]	Time 0.340 (0.259)	Data 0.289 (0.197)	Loss 5.0194 (5.0248)	Prec@1 5.469 (4.595)	Prec@5 15.625 (15.751)
Epoch: [11][360/7045]	Time 0.418 (0.259)	Data 0.368 (0.196)	Loss 5.0670 (5.0267)	Prec@1 3.906 (4.585)	Prec@5 16.797 (15.751)
Epoch: [11][370/7045]	Time 0.147 (0.258)	Data 0.096 (0.196)	Loss 5.0380 (5.0280)	Prec@1 5.859 (4.565)	Prec@5 15.234 (15.714)
Epoch: [11][380/7045]	Time 0.516 (0.259)	Data 0.464 (0.197)	Loss 5.0653 (5.0277)	Prec@1 6.641 (4.570)	Prec@5 15.625 (15.700)
Epoch: [11][390/7045]	Time 0.102 (0.258)	Data 0.001 (0.195)	Loss 5.0814 (5.0285)	Prec@1 3.125 (4.564)	Prec@5 14.844 (15.680)
Epoch: [11][400/7045]	Time 0.101 (0.259)	Data 0.001 (0.196)	Loss 4.9946 (5.0280)	Prec@1 7.031 (4.565)	Prec@5 18.750 (15.685)
Epoch: [11][410/7045]	Time 0.102 (0.258)	Data 0.001 (0.195)	Loss 5.1289 (5.0291)	Prec@1 2.344 (4.545)	Prec@5 14.453 (15.630)
Epoch: [11][420/7045]	Time 0.312 (0.258)	Data 0.260 (0.195)	Loss 5.0897 (5.0310)	Prec@1 4.688 (4.542)	Prec@5 14.453 (15.599)
Epoch: [11][430/7045]	Time 0.261 (0.258)	Data 0.203 (0.195)	Loss 5.2388 (5.0337)	Prec@1 2.344 (4.528)	Prec@5 11.719 (15.549)
Epoch: [11][440/7045]	Time 0.253 (0.257)	Data 0.202 (0.195)	Loss 4.9868 (5.0347)	Prec@1 2.344 (4.518)	Prec@5 13.672 (15.533)
Epoch: [11][450/7045]	Time 0.101 (0.257)	Data 0.010 (0.195)	Loss 5.0430 (5.0341)	Prec@1 4.297 (4.508)	Prec@5 16.016 (15.531)
Epoch: [11][460/7045]	Time 0.311 (0.258)	Data 0.260 (0.195)	Loss 5.1294 (5.0337)	Prec@1 4.297 (4.515)	Prec@5 16.406 (15.547)
Epoch: [11][470/7045]	Time 0.131 (0.257)	Data 0.080 (0.195)	Loss 5.0966 (5.0345)	Prec@1 3.516 (4.515)	Prec@5 14.453 (15.523)
Epoch: [11][480/7045]	Time 0.122 (0.257)	Data 0.070 (0.195)	Loss 5.2631 (5.0357)	Prec@1 3.125 (4.496)	Prec@5 12.500 (15.501)
Epoch: [11][490/7045]	Time 0.101 (0.257)	Data 0.048 (0.195)	Loss 4.9419 (5.0341)	Prec@1 3.906 (4.505)	Prec@5 17.969 (15.526)
Epoch: [11][500/7045]	Time 0.361 (0.257)	Data 0.310 (0.195)	Loss 4.8214 (5.0330)	Prec@1 4.688 (4.514)	Prec@5 17.188 (15.537)
Epoch: [11][510/7045]	Time 0.325 (0.257)	Data 0.274 (0.195)	Loss 5.1285 (5.0326)	Prec@1 2.344 (4.520)	Prec@5 11.719 (15.533)
Epoch: [11][520/7045]	Time 0.398 (0.258)	Data 0.347 (0.196)	Loss 5.0463 (5.0330)	Prec@1 4.297 (4.518)	Prec@5 12.500 (15.508)
Epoch: [11][530/7045]	Time 0.554 (0.258)	Data 0.501 (0.196)	Loss 4.8984 (5.0328)	Prec@1 8.203 (4.532)	Prec@5 18.359 (15.530)
Epoch: [11][540/7045]	Time 0.245 (0.258)	Data 0.195 (0.196)	Loss 4.9615 (5.0316)	Prec@1 3.906 (4.545)	Prec@5 16.406 (15.572)
Epoch: [11][550/7045]	Time 0.108 (0.258)	Data 0.050 (0.196)	Loss 5.1037 (5.0307)	Prec@1 3.906 (4.548)	Prec@5 14.453 (15.588)
Epoch: [11][560/7045]	Time 0.355 (0.258)	Data 0.304 (0.196)	Loss 5.0851 (5.0313)	Prec@1 2.344 (4.539)	Prec@5 12.500 (15.579)
Epoch: [11][570/7045]	Time 0.103 (0.257)	Data 0.050 (0.196)	Loss 5.0202 (5.0313)	Prec@1 3.516 (4.538)	Prec@5 17.578 (15.576)
Epoch: [11][580/7045]	Time 0.109 (0.258)	Data 0.001 (0.196)	Loss 4.9913 (5.0318)	Prec@1 3.516 (4.533)	Prec@5 15.625 (15.567)
Epoch: [11][590/7045]	Time 0.101 (0.257)	Data 0.001 (0.195)	Loss 4.8721 (5.0307)	Prec@1 8.203 (4.547)	Prec@5 19.922 (15.574)
Epoch: [11][600/7045]	Time 0.254 (0.258)	Data 0.204 (0.196)	Loss 5.1624 (5.0304)	Prec@1 4.688 (4.557)	Prec@5 14.062 (15.583)
Epoch: [11][610/7045]	Time 0.140 (0.257)	Data 0.089 (0.195)	Loss 5.0463 (5.0308)	Prec@1 5.078 (4.549)	Prec@5 16.406 (15.581)
Epoch: [11][620/7045]	Time 0.102 (0.257)	Data 0.001 (0.195)	Loss 5.0188 (5.0308)	Prec@1 3.906 (4.541)	Prec@5 15.625 (15.592)
Epoch: [11][630/7045]	Time 0.240 (0.258)	Data 0.189 (0.196)	Loss 4.9969 (5.0314)	Prec@1 4.688 (4.535)	Prec@5 14.844 (15.578)
Epoch: [11][640/7045]	Time 0.279 (0.257)	Data 0.228 (0.195)	Loss 4.9864 (5.0314)	Prec@1 6.250 (4.546)	Prec@5 16.016 (15.593)
Epoch: [11][650/7045]	Time 0.289 (0.258)	Data 0.238 (0.196)	Loss 4.9661 (5.0307)	Prec@1 5.859 (4.548)	Prec@5 21.094 (15.614)
Epoch: [11][660/7045]	Time 0.101 (0.257)	Data 0.041 (0.195)	Loss 5.0167 (5.0302)	Prec@1 4.297 (4.551)	Prec@5 16.406 (15.642)
Epoch: [11][670/7045]	Time 0.354 (0.257)	Data 0.303 (0.195)	Loss 5.0274 (5.0295)	Prec@1 4.297 (4.552)	Prec@5 16.797 (15.655)
Epoch: [11][680/7045]	Time 0.300 (0.257)	Data 0.248 (0.195)	Loss 5.0521 (5.0287)	Prec@1 3.125 (4.565)	Prec@5 10.156 (15.676)
Epoch: [11][690/7045]	Time 0.448 (0.257)	Data 0.390 (0.195)	Loss 5.2006 (5.0279)	Prec@1 1.562 (4.565)	Prec@5 10.547 (15.700)
Epoch: [11][700/7045]	Time 0.107 (0.257)	Data 0.006 (0.195)	Loss 4.9316 (5.0276)	Prec@1 5.859 (4.556)	Prec@5 15.234 (15.700)
Epoch: [11][710/7045]	Time 0.443 (0.257)	Data 0.391 (0.195)	Loss 4.9731 (5.0271)	Prec@1 3.906 (4.553)	Prec@5 15.625 (15.699)
Epoch: [11][720/7045]	Time 0.308 (0.257)	Data 0.258 (0.195)	Loss 4.9879 (5.0265)	Prec@1 3.906 (4.559)	Prec@5 17.969 (15.712)
Epoch: [11][730/7045]	Time 0.142 (0.257)	Data 0.091 (0.195)	Loss 5.0490 (5.0258)	Prec@1 5.078 (4.554)	Prec@5 16.016 (15.725)
Epoch: [11][740/7045]	Time 0.589 (0.257)	Data 0.529 (0.195)	Loss 5.0221 (5.0249)	Prec@1 4.297 (4.558)	Prec@5 11.328 (15.749)
Epoch: [11][750/7045]	Time 0.100 (0.257)	Data 0.001 (0.195)	Loss 5.1447 (5.0256)	Prec@1 2.734 (4.548)	Prec@5 14.453 (15.740)
Epoch: [11][760/7045]	Time 0.609 (0.257)	Data 0.557 (0.195)	Loss 4.9950 (5.0256)	Prec@1 3.906 (4.553)	Prec@5 16.406 (15.742)
Epoch: [11][770/7045]	Time 0.101 (0.256)	Data 0.001 (0.194)	Loss 5.0595 (5.0261)	Prec@1 5.859 (4.548)	Prec@5 16.406 (15.741)
Epoch: [11][780/7045]	Time 0.502 (0.257)	Data 0.450 (0.194)	Loss 4.9727 (5.0267)	Prec@1 3.516 (4.544)	Prec@5 14.453 (15.737)
Epoch: [11][790/7045]	Time 0.364 (0.256)	Data 0.313 (0.194)	Loss 4.9953 (5.0266)	Prec@1 7.422 (4.545)	Prec@5 19.922 (15.740)
Epoch: [11][800/7045]	Time 0.096 (0.256)	Data 0.001 (0.194)	Loss 5.0754 (5.0263)	Prec@1 3.516 (4.543)	Prec@5 14.453 (15.730)
Epoch: [11][810/7045]	Time 0.348 (0.256)	Data 0.296 (0.194)	Loss 5.0652 (5.0259)	Prec@1 3.906 (4.542)	Prec@5 14.844 (15.729)
Epoch: [11][820/7045]	Time 0.102 (0.256)	Data 0.001 (0.193)	Loss 4.9580 (5.0258)	Prec@1 4.688 (4.540)	Prec@5 16.797 (15.720)
Epoch: [11][830/7045]	Time 0.204 (0.256)	Data 0.152 (0.194)	Loss 5.0221 (5.0262)	Prec@1 6.641 (4.536)	Prec@5 16.797 (15.715)
Epoch: [11][840/7045]	Time 0.407 (0.256)	Data 0.355 (0.193)	Loss 4.9816 (5.0266)	Prec@1 3.906 (4.533)	Prec@5 14.453 (15.704)
Epoch: [11][850/7045]	Time 0.102 (0.256)	Data 0.001 (0.193)	Loss 4.9625 (5.0264)	Prec@1 5.469 (4.531)	Prec@5 17.188 (15.714)
Epoch: [11][860/7045]	Time 0.540 (0.256)	Data 0.489 (0.193)	Loss 5.1027 (5.0259)	Prec@1 5.469 (4.540)	Prec@5 17.188 (15.720)
Epoch: [11][870/7045]	Time 0.107 (0.256)	Data 0.055 (0.193)	Loss 5.2015 (5.0263)	Prec@1 3.516 (4.545)	Prec@5 10.938 (15.711)
Epoch: [11][880/7045]	Time 0.220 (0.256)	Data 0.168 (0.193)	Loss 4.9661 (5.0265)	Prec@1 5.469 (4.539)	Prec@5 19.141 (15.709)
Epoch: [11][890/7045]	Time 0.103 (0.255)	Data 0.001 (0.193)	Loss 5.2704 (5.0285)	Prec@1 3.516 (4.526)	Prec@5 14.062 (15.682)
Epoch: [11][900/7045]	Time 0.245 (0.256)	Data 0.187 (0.193)	Loss 5.1261 (5.0296)	Prec@1 3.125 (4.522)	Prec@5 10.547 (15.660)
Epoch: [11][910/7045]	Time 0.296 (0.255)	Data 0.245 (0.192)	Loss 4.9072 (5.0297)	Prec@1 6.641 (4.526)	Prec@5 16.797 (15.661)
Epoch: [11][920/7045]	Time 0.239 (0.255)	Data 0.181 (0.192)	Loss 4.8857 (5.0292)	Prec@1 5.859 (4.532)	Prec@5 17.969 (15.663)
Epoch: [11][930/7045]	Time 0.518 (0.255)	Data 0.466 (0.193)	Loss 4.9697 (5.0290)	Prec@1 2.734 (4.529)	Prec@5 14.453 (15.662)
Epoch: [11][940/7045]	Time 0.103 (0.255)	Data 0.049 (0.192)	Loss 5.1474 (5.0290)	Prec@1 2.344 (4.522)	Prec@5 15.234 (15.661)
Epoch: [11][950/7045]	Time 0.362 (0.255)	Data 0.306 (0.192)	Loss 5.2001 (5.0281)	Prec@1 3.125 (4.528)	Prec@5 13.672 (15.678)
Epoch: [11][960/7045]	Time 0.190 (0.255)	Data 0.139 (0.192)	Loss 5.1406 (5.0277)	Prec@1 3.125 (4.529)	Prec@5 15.625 (15.680)
Epoch: [11][970/7045]	Time 0.102 (0.255)	Data 0.001 (0.192)	Loss 5.0693 (5.0276)	Prec@1 3.516 (4.536)	Prec@5 14.062 (15.685)
Epoch: [11][980/7045]	Time 0.264 (0.255)	Data 0.213 (0.192)	Loss 4.9467 (5.0269)	Prec@1 5.859 (4.542)	Prec@5 16.797 (15.694)
Epoch: [11][990/7045]	Time 0.101 (0.255)	Data 0.001 (0.192)	Loss 5.0224 (5.0268)	Prec@1 5.469 (4.546)	Prec@5 16.406 (15.699)
Epoch: [11][1000/7045]	Time 0.564 (0.255)	Data 0.514 (0.192)	Loss 5.1105 (5.0266)	Prec@1 5.469 (4.551)	Prec@5 14.844 (15.703)
Epoch: [11][1010/7045]	Time 0.102 (0.255)	Data 0.010 (0.192)	Loss 5.0681 (5.0265)	Prec@1 3.906 (4.552)	Prec@5 13.281 (15.703)
Epoch: [11][1020/7045]	Time 0.188 (0.255)	Data 0.136 (0.192)	Loss 5.0688 (5.0257)	Prec@1 3.906 (4.552)	Prec@5 13.672 (15.712)
Epoch: [11][1030/7045]	Time 0.102 (0.254)	Data 0.001 (0.191)	Loss 5.1656 (5.0254)	Prec@1 4.688 (4.558)	Prec@5 14.453 (15.711)
Epoch: [11][1040/7045]	Time 0.305 (0.255)	Data 0.253 (0.191)	Loss 4.9995 (5.0251)	Prec@1 5.078 (4.554)	Prec@5 18.750 (15.715)
Epoch: [11][1050/7045]	Time 0.600 (0.255)	Data 0.542 (0.191)	Loss 5.0825 (5.0256)	Prec@1 3.516 (4.549)	Prec@5 14.844 (15.700)
Epoch: [11][1060/7045]	Time 0.109 (0.254)	Data 0.046 (0.191)	Loss 5.1179 (5.0258)	Prec@1 3.125 (4.550)	Prec@5 14.062 (15.694)
Epoch: [11][1070/7045]	Time 0.619 (0.255)	Data 0.568 (0.191)	Loss 5.0220 (5.0259)	Prec@1 6.641 (4.551)	Prec@5 17.578 (15.700)
Epoch: [11][1080/7045]	Time 0.109 (0.254)	Data 0.006 (0.191)	Loss 4.9460 (5.0263)	Prec@1 2.734 (4.547)	Prec@5 12.500 (15.691)
Epoch: [11][1090/7045]	Time 0.476 (0.254)	Data 0.424 (0.191)	Loss 5.1229 (5.0265)	Prec@1 4.688 (4.551)	Prec@5 14.844 (15.690)
Epoch: [11][1100/7045]	Time 0.155 (0.254)	Data 0.104 (0.191)	Loss 5.1450 (5.0271)	Prec@1 4.297 (4.548)	Prec@5 13.672 (15.680)
Epoch: [11][1110/7045]	Time 0.160 (0.254)	Data 0.108 (0.191)	Loss 4.9112 (5.0273)	Prec@1 5.859 (4.549)	Prec@5 17.188 (15.672)
Epoch: [11][1120/7045]	Time 0.294 (0.254)	Data 0.244 (0.191)	Loss 5.1536 (5.0277)	Prec@1 3.906 (4.547)	Prec@5 14.062 (15.669)
Epoch: [11][1130/7045]	Time 0.101 (0.254)	Data 0.001 (0.191)	Loss 4.9384 (5.0281)	Prec@1 5.469 (4.543)	Prec@5 14.844 (15.662)
Epoch: [11][1140/7045]	Time 0.239 (0.254)	Data 0.188 (0.191)	Loss 4.8867 (5.0276)	Prec@1 4.297 (4.543)	Prec@5 16.797 (15.669)
Epoch: [11][1150/7045]	Time 0.371 (0.254)	Data 0.312 (0.191)	Loss 5.0410 (5.0282)	Prec@1 4.297 (4.547)	Prec@5 16.016 (15.669)
Epoch: [11][1160/7045]	Time 0.133 (0.254)	Data 0.080 (0.191)	Loss 5.0732 (5.0283)	Prec@1 3.906 (4.549)	Prec@5 15.234 (15.672)
Epoch: [11][1170/7045]	Time 0.283 (0.254)	Data 0.231 (0.191)	Loss 4.9929 (5.0286)	Prec@1 7.422 (4.549)	Prec@5 17.188 (15.677)
Epoch: [11][1180/7045]	Time 0.294 (0.254)	Data 0.237 (0.191)	Loss 5.0930 (5.0287)	Prec@1 2.734 (4.548)	Prec@5 16.016 (15.677)
Epoch: [11][1190/7045]	Time 0.104 (0.254)	Data 0.052 (0.191)	Loss 5.1160 (5.0286)	Prec@1 1.562 (4.542)	Prec@5 12.891 (15.677)
Epoch: [11][1200/7045]	Time 0.224 (0.254)	Data 0.173 (0.191)	Loss 5.1103 (5.0286)	Prec@1 3.125 (4.539)	Prec@5 14.062 (15.669)
Epoch: [11][1210/7045]	Time 0.246 (0.254)	Data 0.187 (0.191)	Loss 4.9828 (5.0283)	Prec@1 6.641 (4.544)	Prec@5 16.797 (15.676)
Epoch: [11][1220/7045]	Time 0.136 (0.253)	Data 0.085 (0.191)	Loss 5.1113 (5.0288)	Prec@1 2.344 (4.537)	Prec@5 15.234 (15.671)
Epoch: [11][1230/7045]	Time 0.478 (0.254)	Data 0.427 (0.191)	Loss 5.0443 (5.0286)	Prec@1 4.297 (4.535)	Prec@5 12.891 (15.665)
Epoch: [11][1240/7045]	Time 0.102 (0.253)	Data 0.001 (0.191)	Loss 5.1570 (5.0288)	Prec@1 5.859 (4.534)	Prec@5 14.453 (15.662)
Epoch: [11][1250/7045]	Time 0.357 (0.253)	Data 0.306 (0.191)	Loss 4.9898 (5.0281)	Prec@1 5.859 (4.537)	Prec@5 17.578 (15.673)
Epoch: [11][1260/7045]	Time 0.183 (0.253)	Data 0.131 (0.191)	Loss 5.1034 (5.0278)	Prec@1 6.641 (4.536)	Prec@5 16.016 (15.680)
Epoch: [11][1270/7045]	Time 0.103 (0.253)	Data 0.014 (0.191)	Loss 4.9591 (5.0275)	Prec@1 4.688 (4.544)	Prec@5 15.234 (15.684)
Epoch: [11][1280/7045]	Time 0.102 (0.253)	Data 0.010 (0.190)	Loss 5.0131 (5.0270)	Prec@1 3.906 (4.549)	Prec@5 10.938 (15.697)
Epoch: [11][1290/7045]	Time 0.110 (0.253)	Data 0.002 (0.190)	Loss 5.1505 (5.0267)	Prec@1 2.734 (4.554)	Prec@5 13.672 (15.709)
Epoch: [11][1300/7045]	Time 0.120 (0.253)	Data 0.068 (0.190)	Loss 5.0250 (5.0270)	Prec@1 4.688 (4.552)	Prec@5 18.359 (15.704)
Epoch: [11][1310/7045]	Time 0.119 (0.253)	Data 0.067 (0.190)	Loss 5.0441 (5.0275)	Prec@1 4.297 (4.549)	Prec@5 16.016 (15.694)
Epoch: [11][1320/7045]	Time 0.377 (0.253)	Data 0.326 (0.190)	Loss 4.9859 (5.0276)	Prec@1 4.297 (4.546)	Prec@5 12.109 (15.686)
Epoch: [11][1330/7045]	Time 0.110 (0.253)	Data 0.001 (0.190)	Loss 5.0638 (5.0279)	Prec@1 3.125 (4.541)	Prec@5 10.938 (15.673)
Epoch: [11][1340/7045]	Time 0.447 (0.253)	Data 0.395 (0.190)	Loss 5.2420 (5.0280)	Prec@1 5.078 (4.543)	Prec@5 12.891 (15.680)
Epoch: [11][1350/7045]	Time 0.321 (0.253)	Data 0.272 (0.190)	Loss 5.0420 (5.0279)	Prec@1 4.297 (4.544)	Prec@5 13.672 (15.686)
Epoch: [11][1360/7045]	Time 0.107 (0.253)	Data 0.015 (0.190)	Loss 5.0064 (5.0281)	Prec@1 5.078 (4.543)	Prec@5 17.188 (15.678)
Epoch: [11][1370/7045]	Time 0.279 (0.253)	Data 0.228 (0.190)	Loss 5.0489 (5.0287)	Prec@1 4.297 (4.540)	Prec@5 17.188 (15.673)
Epoch: [11][1380/7045]	Time 0.108 (0.253)	Data 0.056 (0.190)	Loss 5.0730 (5.0296)	Prec@1 4.688 (4.533)	Prec@5 16.016 (15.654)
Epoch: [11][1390/7045]	Time 0.109 (0.253)	Data 0.011 (0.190)	Loss 5.0465 (5.0297)	Prec@1 5.469 (4.531)	Prec@5 12.891 (15.650)
Epoch: [11][1400/7045]	Time 0.409 (0.253)	Data 0.358 (0.190)	Loss 5.0688 (5.0302)	Prec@1 3.906 (4.532)	Prec@5 17.188 (15.645)
Epoch: [11][1410/7045]	Time 0.123 (0.253)	Data 0.065 (0.190)	Loss 4.9646 (5.0306)	Prec@1 6.250 (4.531)	Prec@5 16.406 (15.631)
Epoch: [11][1420/7045]	Time 0.407 (0.253)	Data 0.356 (0.190)	Loss 4.9913 (5.0307)	Prec@1 3.906 (4.528)	Prec@5 13.672 (15.617)
Epoch: [11][1430/7045]	Time 0.101 (0.253)	Data 0.001 (0.190)	Loss 5.0743 (5.0305)	Prec@1 5.469 (4.528)	Prec@5 15.234 (15.614)
Epoch: [11][1440/7045]	Time 0.103 (0.253)	Data 0.006 (0.190)	Loss 5.0011 (5.0305)	Prec@1 5.469 (4.533)	Prec@5 15.625 (15.615)
Epoch: [11][1450/7045]	Time 0.101 (0.253)	Data 0.005 (0.190)	Loss 5.0353 (5.0311)	Prec@1 3.125 (4.527)	Prec@5 14.062 (15.605)
Epoch: [11][1460/7045]	Time 0.378 (0.253)	Data 0.321 (0.190)	Loss 5.0666 (5.0312)	Prec@1 5.078 (4.529)	Prec@5 17.969 (15.604)
Epoch: [11][1470/7045]	Time 0.479 (0.253)	Data 0.428 (0.190)	Loss 5.0759 (5.0317)	Prec@1 4.688 (4.526)	Prec@5 13.281 (15.592)
Epoch: [11][1480/7045]	Time 0.335 (0.253)	Data 0.284 (0.190)	Loss 5.1687 (5.0323)	Prec@1 3.516 (4.519)	Prec@5 12.500 (15.581)
Epoch: [11][1490/7045]	Time 0.292 (0.253)	Data 0.242 (0.190)	Loss 5.1525 (5.0324)	Prec@1 3.516 (4.518)	Prec@5 10.938 (15.582)
Epoch: [11][1500/7045]	Time 0.258 (0.253)	Data 0.200 (0.190)	Loss 5.0684 (5.0324)	Prec@1 3.516 (4.516)	Prec@5 12.891 (15.584)
Epoch: [11][1510/7045]	Time 0.102 (0.253)	Data 0.048 (0.190)	Loss 5.1757 (5.0328)	Prec@1 5.469 (4.519)	Prec@5 13.672 (15.578)
Epoch: [11][1520/7045]	Time 0.356 (0.253)	Data 0.298 (0.190)	Loss 5.0017 (5.0332)	Prec@1 3.516 (4.516)	Prec@5 18.359 (15.573)
Epoch: [11][1530/7045]	Time 0.101 (0.253)	Data 0.001 (0.190)	Loss 5.0030 (5.0331)	Prec@1 2.344 (4.517)	Prec@5 16.797 (15.577)
Epoch: [11][1540/7045]	Time 0.446 (0.253)	Data 0.396 (0.190)	Loss 4.9466 (5.0331)	Prec@1 6.641 (4.521)	Prec@5 16.406 (15.574)
Epoch: [11][1550/7045]	Time 0.393 (0.253)	Data 0.342 (0.190)	Loss 5.1062 (5.0332)	Prec@1 3.125 (4.518)	Prec@5 15.234 (15.576)
Epoch: [11][1560/7045]	Time 0.102 (0.253)	Data 0.001 (0.190)	Loss 5.1539 (5.0336)	Prec@1 3.516 (4.512)	Prec@5 15.234 (15.572)
Epoch: [11][1570/7045]	Time 0.387 (0.253)	Data 0.337 (0.189)	Loss 5.1148 (5.0335)	Prec@1 6.641 (4.512)	Prec@5 13.281 (15.569)
Epoch: [11][1580/7045]	Time 0.133 (0.253)	Data 0.082 (0.189)	Loss 5.0119 (5.0334)	Prec@1 3.125 (4.513)	Prec@5 14.453 (15.563)
Epoch: [11][1590/7045]	Time 0.330 (0.253)	Data 0.279 (0.190)	Loss 5.0978 (5.0337)	Prec@1 4.688 (4.511)	Prec@5 17.188 (15.558)
Epoch: [11][1600/7045]	Time 0.152 (0.253)	Data 0.100 (0.190)	Loss 5.0236 (5.0333)	Prec@1 5.859 (4.514)	Prec@5 17.969 (15.564)
Epoch: [11][1610/7045]	Time 0.530 (0.253)	Data 0.479 (0.190)	Loss 5.1175 (5.0333)	Prec@1 3.906 (4.516)	Prec@5 14.453 (15.566)
Epoch: [11][1620/7045]	Time 0.106 (0.252)	Data 0.001 (0.189)	Loss 5.0008 (5.0336)	Prec@1 5.469 (4.516)	Prec@5 16.016 (15.560)
Epoch: [11][1630/7045]	Time 0.348 (0.252)	Data 0.296 (0.189)	Loss 4.9288 (5.0336)	Prec@1 4.688 (4.516)	Prec@5 17.969 (15.562)
Epoch: [11][1640/7045]	Time 0.153 (0.252)	Data 0.102 (0.189)	Loss 4.8924 (5.0335)	Prec@1 3.516 (4.510)	Prec@5 19.922 (15.563)
Epoch: [11][1650/7045]	Time 0.110 (0.253)	Data 0.001 (0.190)	Loss 5.2768 (5.0335)	Prec@1 3.516 (4.513)	Prec@5 13.281 (15.557)
Epoch: [11][1660/7045]	Time 0.101 (0.252)	Data 0.001 (0.189)	Loss 4.9189 (5.0331)	Prec@1 5.078 (4.516)	Prec@5 20.703 (15.567)
Epoch: [11][1670/7045]	Time 0.361 (0.252)	Data 0.300 (0.189)	Loss 4.9828 (5.0329)	Prec@1 3.516 (4.515)	Prec@5 17.188 (15.572)
Epoch: [11][1680/7045]	Time 0.284 (0.252)	Data 0.234 (0.189)	Loss 4.9952 (5.0329)	Prec@1 4.297 (4.515)	Prec@5 14.844 (15.573)
Epoch: [11][1690/7045]	Time 0.097 (0.252)	Data 0.044 (0.189)	Loss 5.1550 (5.0329)	Prec@1 3.516 (4.515)	Prec@5 11.719 (15.568)
Epoch: [11][1700/7045]	Time 0.543 (0.252)	Data 0.485 (0.189)	Loss 4.9272 (5.0330)	Prec@1 5.859 (4.515)	Prec@5 19.531 (15.566)
Epoch: [11][1710/7045]	Time 0.236 (0.252)	Data 0.186 (0.189)	Loss 5.1358 (5.0333)	Prec@1 3.516 (4.516)	Prec@5 12.891 (15.568)
Epoch: [11][1720/7045]	Time 0.103 (0.252)	Data 0.044 (0.189)	Loss 4.9984 (5.0332)	Prec@1 4.688 (4.516)	Prec@5 14.062 (15.569)
Epoch: [11][1730/7045]	Time 0.146 (0.252)	Data 0.094 (0.189)	Loss 5.3491 (5.0336)	Prec@1 1.953 (4.513)	Prec@5 8.594 (15.557)
Epoch: [11][1740/7045]	Time 0.101 (0.252)	Data 0.001 (0.189)	Loss 5.1087 (5.0336)	Prec@1 5.469 (4.517)	Prec@5 15.234 (15.561)
Epoch: [11][1750/7045]	Time 0.118 (0.252)	Data 0.067 (0.189)	Loss 5.0902 (5.0335)	Prec@1 3.906 (4.518)	Prec@5 14.062 (15.565)
Epoch: [11][1760/7045]	Time 0.690 (0.253)	Data 0.638 (0.189)	Loss 4.8968 (5.0331)	Prec@1 5.859 (4.518)	Prec@5 17.188 (15.571)
Epoch: [11][1770/7045]	Time 0.101 (0.252)	Data 0.001 (0.189)	Loss 5.0709 (5.0331)	Prec@1 3.516 (4.517)	Prec@5 13.281 (15.572)
Epoch: [11][1780/7045]	Time 0.392 (0.252)	Data 0.341 (0.189)	Loss 4.9431 (5.0330)	Prec@1 5.078 (4.515)	Prec@5 14.844 (15.569)
Epoch: [11][1790/7045]	Time 0.120 (0.252)	Data 0.068 (0.189)	Loss 4.9339 (5.0328)	Prec@1 6.641 (4.514)	Prec@5 15.234 (15.568)
Epoch: [11][1800/7045]	Time 0.118 (0.252)	Data 0.059 (0.189)	Loss 4.8378 (5.0324)	Prec@1 6.250 (4.516)	Prec@5 20.312 (15.577)
Epoch: [11][1810/7045]	Time 0.102 (0.252)	Data 0.001 (0.189)	Loss 4.9318 (5.0326)	Prec@1 7.812 (4.520)	Prec@5 16.406 (15.574)
Epoch: [11][1820/7045]	Time 0.285 (0.252)	Data 0.234 (0.189)	Loss 4.9694 (5.0325)	Prec@1 5.469 (4.523)	Prec@5 18.359 (15.580)
Epoch: [11][1830/7045]	Time 0.247 (0.252)	Data 0.197 (0.189)	Loss 4.9247 (5.0323)	Prec@1 7.422 (4.528)	Prec@5 19.141 (15.586)
Epoch: [11][1840/7045]	Time 0.219 (0.252)	Data 0.167 (0.189)	Loss 4.8768 (5.0320)	Prec@1 7.422 (4.532)	Prec@5 21.875 (15.597)
Epoch: [11][1850/7045]	Time 0.632 (0.252)	Data 0.581 (0.189)	Loss 5.0361 (5.0319)	Prec@1 4.688 (4.532)	Prec@5 17.188 (15.601)
Epoch: [11][1860/7045]	Time 0.101 (0.252)	Data 0.009 (0.189)	Loss 4.9103 (5.0317)	Prec@1 4.688 (4.531)	Prec@5 19.922 (15.605)
Epoch: [11][1870/7045]	Time 0.153 (0.252)	Data 0.101 (0.189)	Loss 5.0896 (5.0316)	Prec@1 4.297 (4.531)	Prec@5 16.016 (15.602)
Epoch: [11][1880/7045]	Time 0.101 (0.252)	Data 0.001 (0.189)	Loss 4.9543 (5.0316)	Prec@1 3.516 (4.527)	Prec@5 14.453 (15.599)
Epoch: [11][1890/7045]	Time 0.318 (0.252)	Data 0.266 (0.189)	Loss 5.0176 (5.0318)	Prec@1 6.250 (4.532)	Prec@5 16.797 (15.600)
Epoch: [11][1900/7045]	Time 0.164 (0.252)	Data 0.112 (0.189)	Loss 4.9748 (5.0315)	Prec@1 4.297 (4.532)	Prec@5 16.406 (15.601)
Epoch: [11][1910/7045]	Time 0.266 (0.252)	Data 0.215 (0.189)	Loss 4.9915 (5.0314)	Prec@1 5.078 (4.533)	Prec@5 14.453 (15.602)
Epoch: [11][1920/7045]	Time 0.441 (0.252)	Data 0.390 (0.189)	Loss 5.0289 (5.0313)	Prec@1 5.469 (4.532)	Prec@5 15.234 (15.605)
Epoch: [11][1930/7045]	Time 0.101 (0.252)	Data 0.001 (0.189)	Loss 5.0801 (5.0314)	Prec@1 6.250 (4.534)	Prec@5 15.625 (15.605)
Epoch: [11][1940/7045]	Time 0.208 (0.252)	Data 0.157 (0.189)	Loss 5.0055 (5.0314)	Prec@1 5.078 (4.533)	Prec@5 16.016 (15.604)
Epoch: [11][1950/7045]	Time 0.100 (0.252)	Data 0.001 (0.189)	Loss 5.1004 (5.0315)	Prec@1 7.031 (4.537)	Prec@5 19.141 (15.607)
Epoch: [11][1960/7045]	Time 0.100 (0.252)	Data 0.001 (0.188)	Loss 5.0273 (5.0315)	Prec@1 3.516 (4.536)	Prec@5 15.234 (15.607)
Epoch: [11][1970/7045]	Time 0.364 (0.252)	Data 0.311 (0.188)	Loss 5.1357 (5.0315)	Prec@1 6.250 (4.537)	Prec@5 16.406 (15.614)
Epoch: [11][1980/7045]	Time 0.101 (0.252)	Data 0.001 (0.188)	Loss 5.0732 (5.0317)	Prec@1 3.516 (4.533)	Prec@5 14.062 (15.610)
Epoch: [11][1990/7045]	Time 0.475 (0.252)	Data 0.424 (0.188)	Loss 4.9904 (5.0318)	Prec@1 5.859 (4.531)	Prec@5 16.016 (15.606)
Epoch: [11][2000/7045]	Time 0.324 (0.252)	Data 0.273 (0.188)	Loss 5.0178 (5.0317)	Prec@1 3.516 (4.532)	Prec@5 15.234 (15.609)
Epoch: [11][2010/7045]	Time 0.151 (0.252)	Data 0.097 (0.188)	Loss 5.1234 (5.0317)	Prec@1 3.125 (4.529)	Prec@5 12.500 (15.605)
Epoch: [11][2020/7045]	Time 0.260 (0.252)	Data 0.209 (0.188)	Loss 4.8956 (5.0317)	Prec@1 5.469 (4.528)	Prec@5 20.703 (15.607)
Epoch: [11][2030/7045]	Time 0.102 (0.252)	Data 0.011 (0.188)	Loss 5.0101 (5.0315)	Prec@1 5.859 (4.532)	Prec@5 14.062 (15.608)
Epoch: [11][2040/7045]	Time 0.105 (0.252)	Data 0.052 (0.188)	Loss 5.0976 (5.0317)	Prec@1 3.516 (4.528)	Prec@5 14.453 (15.603)
Epoch: [11][2050/7045]	Time 0.104 (0.252)	Data 0.052 (0.188)	Loss 5.0130 (5.0316)	Prec@1 3.516 (4.528)	Prec@5 13.281 (15.601)
Epoch: [11][2060/7045]	Time 0.420 (0.252)	Data 0.369 (0.188)	Loss 5.0688 (5.0318)	Prec@1 2.734 (4.530)	Prec@5 14.062 (15.601)
Epoch: [11][2070/7045]	Time 0.103 (0.252)	Data 0.001 (0.188)	Loss 5.0040 (5.0318)	Prec@1 4.688 (4.528)	Prec@5 14.453 (15.600)
Epoch: [11][2080/7045]	Time 0.386 (0.252)	Data 0.334 (0.188)	Loss 5.2601 (5.0319)	Prec@1 4.688 (4.530)	Prec@5 11.719 (15.605)
Epoch: [11][2090/7045]	Time 0.416 (0.252)	Data 0.365 (0.188)	Loss 5.0529 (5.0319)	Prec@1 3.906 (4.529)	Prec@5 12.500 (15.604)
Epoch: [11][2100/7045]	Time 0.101 (0.252)	Data 0.008 (0.188)	Loss 5.1106 (5.0318)	Prec@1 3.906 (4.527)	Prec@5 16.406 (15.606)
Epoch: [11][2110/7045]	Time 0.101 (0.252)	Data 0.008 (0.188)	Loss 5.0238 (5.0319)	Prec@1 6.250 (4.526)	Prec@5 16.406 (15.600)
Epoch: [11][2120/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 5.1016 (5.0320)	Prec@1 3.516 (4.524)	Prec@5 14.062 (15.598)
Epoch: [11][2130/7045]	Time 0.292 (0.252)	Data 0.241 (0.188)	Loss 4.9955 (5.0321)	Prec@1 4.688 (4.526)	Prec@5 18.750 (15.592)
Epoch: [11][2140/7045]	Time 0.246 (0.252)	Data 0.196 (0.188)	Loss 5.1021 (5.0320)	Prec@1 5.078 (4.529)	Prec@5 16.406 (15.595)
Epoch: [11][2150/7045]	Time 0.129 (0.252)	Data 0.078 (0.188)	Loss 5.0221 (5.0319)	Prec@1 6.641 (4.528)	Prec@5 14.453 (15.602)
Epoch: [11][2160/7045]	Time 0.673 (0.252)	Data 0.620 (0.188)	Loss 5.0822 (5.0321)	Prec@1 4.297 (4.528)	Prec@5 14.453 (15.602)
Epoch: [11][2170/7045]	Time 0.218 (0.252)	Data 0.157 (0.188)	Loss 4.9917 (5.0318)	Prec@1 5.469 (4.529)	Prec@5 14.453 (15.601)
Epoch: [11][2180/7045]	Time 0.538 (0.252)	Data 0.487 (0.188)	Loss 4.9615 (5.0317)	Prec@1 3.906 (4.531)	Prec@5 17.969 (15.608)
Epoch: [11][2190/7045]	Time 0.120 (0.252)	Data 0.069 (0.188)	Loss 4.9661 (5.0316)	Prec@1 4.688 (4.533)	Prec@5 16.406 (15.612)
Epoch: [11][2200/7045]	Time 0.104 (0.252)	Data 0.051 (0.188)	Loss 4.7696 (5.0313)	Prec@1 4.688 (4.535)	Prec@5 19.531 (15.621)
Epoch: [11][2210/7045]	Time 0.150 (0.252)	Data 0.099 (0.188)	Loss 5.0935 (5.0311)	Prec@1 1.953 (4.533)	Prec@5 11.719 (15.621)
Epoch: [11][2220/7045]	Time 0.171 (0.252)	Data 0.120 (0.188)	Loss 5.1771 (5.0313)	Prec@1 5.859 (4.531)	Prec@5 16.406 (15.621)
Epoch: [11][2230/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 4.9418 (5.0311)	Prec@1 4.297 (4.534)	Prec@5 19.141 (15.625)
Epoch: [11][2240/7045]	Time 0.101 (0.252)	Data 0.001 (0.188)	Loss 5.0371 (5.0311)	Prec@1 2.734 (4.534)	Prec@5 12.891 (15.627)
Epoch: [11][2250/7045]	Time 0.121 (0.252)	Data 0.069 (0.188)	Loss 4.9702 (5.0310)	Prec@1 5.469 (4.538)	Prec@5 17.188 (15.634)
Epoch: [11][2260/7045]	Time 0.349 (0.252)	Data 0.299 (0.188)	Loss 5.0128 (5.0309)	Prec@1 3.516 (4.540)	Prec@5 14.453 (15.632)
Epoch: [11][2270/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 4.9396 (5.0305)	Prec@1 3.516 (4.540)	Prec@5 17.188 (15.639)
Epoch: [11][2280/7045]	Time 0.610 (0.252)	Data 0.551 (0.188)	Loss 5.0816 (5.0305)	Prec@1 7.422 (4.541)	Prec@5 16.016 (15.639)
Epoch: [11][2290/7045]	Time 0.205 (0.252)	Data 0.155 (0.188)	Loss 5.1479 (5.0306)	Prec@1 5.469 (4.542)	Prec@5 18.750 (15.637)
Epoch: [11][2300/7045]	Time 0.473 (0.252)	Data 0.422 (0.188)	Loss 4.9693 (5.0306)	Prec@1 5.078 (4.542)	Prec@5 19.141 (15.637)
Epoch: [11][2310/7045]	Time 0.192 (0.252)	Data 0.141 (0.188)	Loss 5.0876 (5.0306)	Prec@1 2.734 (4.541)	Prec@5 14.062 (15.638)
Epoch: [11][2320/7045]	Time 0.112 (0.252)	Data 0.061 (0.188)	Loss 4.9544 (5.0304)	Prec@1 8.984 (4.544)	Prec@5 19.922 (15.638)
Epoch: [11][2330/7045]	Time 0.123 (0.252)	Data 0.072 (0.188)	Loss 4.9276 (5.0300)	Prec@1 7.031 (4.546)	Prec@5 23.047 (15.644)
Epoch: [11][2340/7045]	Time 0.099 (0.252)	Data 0.009 (0.188)	Loss 5.1971 (5.0296)	Prec@1 2.734 (4.549)	Prec@5 10.938 (15.652)
Epoch: [11][2350/7045]	Time 0.103 (0.252)	Data 0.050 (0.188)	Loss 5.0214 (5.0296)	Prec@1 5.859 (4.548)	Prec@5 17.969 (15.652)
Epoch: [11][2360/7045]	Time 0.102 (0.252)	Data 0.022 (0.188)	Loss 5.1935 (5.0299)	Prec@1 3.516 (4.545)	Prec@5 11.719 (15.644)
Epoch: [11][2370/7045]	Time 0.104 (0.252)	Data 0.051 (0.188)	Loss 4.8544 (5.0299)	Prec@1 7.031 (4.546)	Prec@5 17.969 (15.645)
Epoch: [11][2380/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 5.0247 (5.0301)	Prec@1 6.250 (4.549)	Prec@5 15.625 (15.645)
Epoch: [11][2390/7045]	Time 0.102 (0.252)	Data 0.002 (0.188)	Loss 4.9308 (5.0298)	Prec@1 5.469 (4.553)	Prec@5 17.578 (15.654)
Epoch: [11][2400/7045]	Time 0.374 (0.252)	Data 0.323 (0.188)	Loss 5.1140 (5.0296)	Prec@1 1.953 (4.549)	Prec@5 12.891 (15.656)
Epoch: [11][2410/7045]	Time 0.108 (0.252)	Data 0.001 (0.188)	Loss 4.9943 (5.0295)	Prec@1 5.469 (4.550)	Prec@5 18.359 (15.658)
Epoch: [11][2420/7045]	Time 0.424 (0.252)	Data 0.374 (0.188)	Loss 5.0437 (5.0294)	Prec@1 3.516 (4.551)	Prec@5 13.281 (15.658)
Epoch: [11][2430/7045]	Time 0.370 (0.252)	Data 0.320 (0.188)	Loss 5.0724 (5.0294)	Prec@1 4.297 (4.550)	Prec@5 13.672 (15.656)
Epoch: [11][2440/7045]	Time 0.248 (0.252)	Data 0.197 (0.188)	Loss 5.0730 (5.0293)	Prec@1 4.297 (4.549)	Prec@5 16.406 (15.662)
Epoch: [11][2450/7045]	Time 0.256 (0.252)	Data 0.205 (0.188)	Loss 4.9263 (5.0294)	Prec@1 7.422 (4.549)	Prec@5 21.484 (15.659)
Epoch: [11][2460/7045]	Time 0.238 (0.252)	Data 0.187 (0.188)	Loss 4.7910 (5.0290)	Prec@1 7.422 (4.552)	Prec@5 21.094 (15.669)
Epoch: [11][2470/7045]	Time 0.239 (0.252)	Data 0.188 (0.188)	Loss 5.0486 (5.0289)	Prec@1 7.031 (4.554)	Prec@5 13.672 (15.671)
Epoch: [11][2480/7045]	Time 0.260 (0.252)	Data 0.209 (0.188)	Loss 4.9409 (5.0290)	Prec@1 5.078 (4.553)	Prec@5 16.406 (15.669)
Epoch: [11][2490/7045]	Time 0.226 (0.252)	Data 0.176 (0.188)	Loss 5.0742 (5.0291)	Prec@1 5.078 (4.551)	Prec@5 16.406 (15.665)
Epoch: [11][2500/7045]	Time 0.521 (0.252)	Data 0.470 (0.188)	Loss 5.0461 (5.0293)	Prec@1 5.078 (4.552)	Prec@5 15.234 (15.666)
Epoch: [11][2510/7045]	Time 0.123 (0.252)	Data 0.065 (0.188)	Loss 5.1149 (5.0294)	Prec@1 2.344 (4.550)	Prec@5 14.062 (15.664)
Epoch: [11][2520/7045]	Time 0.585 (0.252)	Data 0.535 (0.188)	Loss 4.8710 (5.0290)	Prec@1 5.469 (4.552)	Prec@5 17.188 (15.671)
Epoch: [11][2530/7045]	Time 0.183 (0.252)	Data 0.131 (0.188)	Loss 5.0146 (5.0289)	Prec@1 3.516 (4.555)	Prec@5 13.281 (15.676)
Epoch: [11][2540/7045]	Time 0.200 (0.252)	Data 0.149 (0.188)	Loss 4.9862 (5.0287)	Prec@1 4.688 (4.555)	Prec@5 16.016 (15.682)
Epoch: [11][2550/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 4.8146 (5.0283)	Prec@1 5.469 (4.560)	Prec@5 18.750 (15.689)
Epoch: [11][2560/7045]	Time 0.119 (0.252)	Data 0.068 (0.188)	Loss 4.9762 (5.0282)	Prec@1 6.250 (4.558)	Prec@5 14.844 (15.689)
Epoch: [11][2570/7045]	Time 0.914 (0.252)	Data 0.861 (0.188)	Loss 5.0350 (5.0283)	Prec@1 3.906 (4.555)	Prec@5 18.750 (15.688)
Epoch: [11][2580/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 4.9856 (5.0281)	Prec@1 5.078 (4.556)	Prec@5 15.234 (15.690)
Epoch: [11][2590/7045]	Time 0.451 (0.252)	Data 0.401 (0.188)	Loss 4.9754 (5.0279)	Prec@1 5.078 (4.558)	Prec@5 15.625 (15.691)
Epoch: [11][2600/7045]	Time 0.357 (0.252)	Data 0.305 (0.188)	Loss 4.9521 (5.0279)	Prec@1 3.516 (4.559)	Prec@5 16.797 (15.694)
Epoch: [11][2610/7045]	Time 0.109 (0.252)	Data 0.059 (0.188)	Loss 4.9446 (5.0278)	Prec@1 5.469 (4.561)	Prec@5 16.016 (15.696)
Epoch: [11][2620/7045]	Time 0.468 (0.252)	Data 0.417 (0.188)	Loss 5.0939 (5.0278)	Prec@1 5.859 (4.561)	Prec@5 15.234 (15.695)
Epoch: [11][2630/7045]	Time 0.447 (0.252)	Data 0.396 (0.188)	Loss 4.9355 (5.0276)	Prec@1 7.031 (4.564)	Prec@5 20.312 (15.699)
Epoch: [11][2640/7045]	Time 0.379 (0.252)	Data 0.328 (0.188)	Loss 5.1537 (5.0276)	Prec@1 3.125 (4.563)	Prec@5 8.203 (15.696)
Epoch: [11][2650/7045]	Time 0.101 (0.252)	Data 0.008 (0.188)	Loss 5.0981 (5.0278)	Prec@1 5.078 (4.561)	Prec@5 14.844 (15.693)
Epoch: [11][2660/7045]	Time 0.249 (0.252)	Data 0.197 (0.188)	Loss 5.0686 (5.0279)	Prec@1 2.344 (4.561)	Prec@5 11.328 (15.688)
Epoch: [11][2670/7045]	Time 0.101 (0.252)	Data 0.015 (0.188)	Loss 5.1211 (5.0278)	Prec@1 4.297 (4.564)	Prec@5 11.328 (15.689)
Epoch: [11][2680/7045]	Time 0.198 (0.252)	Data 0.146 (0.188)	Loss 5.2316 (5.0277)	Prec@1 1.562 (4.563)	Prec@5 9.766 (15.688)
Epoch: [11][2690/7045]	Time 0.268 (0.252)	Data 0.217 (0.188)	Loss 4.9873 (5.0276)	Prec@1 4.297 (4.563)	Prec@5 15.625 (15.686)
Epoch: [11][2700/7045]	Time 0.350 (0.252)	Data 0.301 (0.188)	Loss 4.8712 (5.0274)	Prec@1 5.859 (4.565)	Prec@5 16.797 (15.689)
Epoch: [11][2710/7045]	Time 0.108 (0.252)	Data 0.004 (0.188)	Loss 5.1098 (5.0273)	Prec@1 5.469 (4.566)	Prec@5 16.406 (15.693)
Epoch: [11][2720/7045]	Time 0.554 (0.252)	Data 0.504 (0.188)	Loss 5.0705 (5.0272)	Prec@1 4.297 (4.569)	Prec@5 14.453 (15.697)
Epoch: [11][2730/7045]	Time 0.102 (0.252)	Data 0.023 (0.188)	Loss 5.0307 (5.0272)	Prec@1 3.906 (4.571)	Prec@5 17.188 (15.697)
Epoch: [11][2740/7045]	Time 0.507 (0.252)	Data 0.457 (0.188)	Loss 4.9724 (5.0271)	Prec@1 5.469 (4.573)	Prec@5 14.844 (15.699)
Epoch: [11][2750/7045]	Time 0.102 (0.252)	Data 0.004 (0.188)	Loss 4.9514 (5.0270)	Prec@1 4.297 (4.572)	Prec@5 15.625 (15.699)
Epoch: [11][2760/7045]	Time 0.219 (0.252)	Data 0.169 (0.188)	Loss 5.1162 (5.0271)	Prec@1 3.906 (4.570)	Prec@5 14.844 (15.696)
Epoch: [11][2770/7045]	Time 0.103 (0.252)	Data 0.002 (0.188)	Loss 5.0398 (5.0271)	Prec@1 2.734 (4.569)	Prec@5 13.281 (15.696)
Epoch: [11][2780/7045]	Time 0.449 (0.252)	Data 0.391 (0.188)	Loss 5.1136 (5.0271)	Prec@1 3.125 (4.570)	Prec@5 13.281 (15.693)
Epoch: [11][2790/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 4.9688 (5.0272)	Prec@1 5.078 (4.571)	Prec@5 17.578 (15.693)
Epoch: [11][2800/7045]	Time 0.443 (0.252)	Data 0.391 (0.188)	Loss 5.1143 (5.0273)	Prec@1 2.344 (4.567)	Prec@5 16.406 (15.695)
Epoch: [11][2810/7045]	Time 0.101 (0.252)	Data 0.001 (0.188)	Loss 4.9790 (5.0275)	Prec@1 3.516 (4.567)	Prec@5 16.406 (15.694)
Epoch: [11][2820/7045]	Time 0.280 (0.252)	Data 0.230 (0.188)	Loss 4.9497 (5.0274)	Prec@1 4.688 (4.567)	Prec@5 16.797 (15.696)
Epoch: [11][2830/7045]	Time 0.127 (0.252)	Data 0.069 (0.188)	Loss 5.1126 (5.0276)	Prec@1 4.297 (4.566)	Prec@5 16.797 (15.696)
Epoch: [11][2840/7045]	Time 0.108 (0.252)	Data 0.057 (0.188)	Loss 4.8979 (5.0276)	Prec@1 4.688 (4.566)	Prec@5 16.406 (15.697)
Epoch: [11][2850/7045]	Time 0.177 (0.252)	Data 0.125 (0.188)	Loss 4.9563 (5.0276)	Prec@1 4.297 (4.565)	Prec@5 16.406 (15.696)
Epoch: [11][2860/7045]	Time 0.328 (0.252)	Data 0.277 (0.188)	Loss 5.0326 (5.0276)	Prec@1 3.516 (4.564)	Prec@5 16.797 (15.696)
Epoch: [11][2870/7045]	Time 0.302 (0.252)	Data 0.251 (0.188)	Loss 5.0631 (5.0275)	Prec@1 3.125 (4.567)	Prec@5 17.188 (15.698)
Epoch: [11][2880/7045]	Time 0.642 (0.252)	Data 0.592 (0.188)	Loss 5.0474 (5.0274)	Prec@1 5.078 (4.567)	Prec@5 14.453 (15.698)
Epoch: [11][2890/7045]	Time 0.109 (0.252)	Data 0.001 (0.188)	Loss 5.0439 (5.0274)	Prec@1 3.125 (4.569)	Prec@5 16.016 (15.699)
Epoch: [11][2900/7045]	Time 0.476 (0.252)	Data 0.425 (0.188)	Loss 4.9821 (5.0272)	Prec@1 3.125 (4.568)	Prec@5 15.625 (15.699)
Epoch: [11][2910/7045]	Time 0.360 (0.252)	Data 0.309 (0.188)	Loss 5.0479 (5.0272)	Prec@1 3.906 (4.568)	Prec@5 15.625 (15.698)
Epoch: [11][2920/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 4.7886 (5.0271)	Prec@1 9.375 (4.571)	Prec@5 20.703 (15.703)
Epoch: [11][2930/7045]	Time 0.226 (0.252)	Data 0.175 (0.188)	Loss 4.9237 (5.0268)	Prec@1 3.906 (4.570)	Prec@5 17.578 (15.702)
Epoch: [11][2940/7045]	Time 0.420 (0.252)	Data 0.369 (0.188)	Loss 4.8739 (5.0267)	Prec@1 6.250 (4.571)	Prec@5 18.750 (15.707)
Epoch: [11][2950/7045]	Time 0.252 (0.252)	Data 0.200 (0.188)	Loss 5.1792 (5.0268)	Prec@1 4.297 (4.574)	Prec@5 13.281 (15.708)
Epoch: [11][2960/7045]	Time 0.314 (0.252)	Data 0.264 (0.188)	Loss 4.8722 (5.0267)	Prec@1 4.688 (4.572)	Prec@5 19.141 (15.707)
Epoch: [11][2970/7045]	Time 0.285 (0.252)	Data 0.234 (0.188)	Loss 5.0757 (5.0268)	Prec@1 3.516 (4.572)	Prec@5 14.062 (15.708)
Epoch: [11][2980/7045]	Time 0.104 (0.252)	Data 0.054 (0.188)	Loss 5.2899 (5.0271)	Prec@1 1.953 (4.569)	Prec@5 10.547 (15.701)
Epoch: [11][2990/7045]	Time 0.156 (0.252)	Data 0.104 (0.188)	Loss 5.1446 (5.0273)	Prec@1 2.734 (4.567)	Prec@5 8.594 (15.698)
Epoch: [11][3000/7045]	Time 0.751 (0.252)	Data 0.698 (0.189)	Loss 4.9565 (5.0275)	Prec@1 5.469 (4.565)	Prec@5 16.406 (15.691)
Epoch: [11][3010/7045]	Time 0.213 (0.252)	Data 0.162 (0.188)	Loss 5.0787 (5.0273)	Prec@1 3.125 (4.567)	Prec@5 13.672 (15.697)
Epoch: [11][3020/7045]	Time 0.202 (0.252)	Data 0.152 (0.188)	Loss 5.1027 (5.0274)	Prec@1 4.297 (4.567)	Prec@5 16.016 (15.698)
Epoch: [11][3030/7045]	Time 0.170 (0.252)	Data 0.120 (0.188)	Loss 4.9932 (5.0273)	Prec@1 4.688 (4.570)	Prec@5 16.016 (15.702)
Epoch: [11][3040/7045]	Time 0.225 (0.252)	Data 0.174 (0.189)	Loss 4.9904 (5.0274)	Prec@1 4.688 (4.570)	Prec@5 15.625 (15.700)
Epoch: [11][3050/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 5.0696 (5.0276)	Prec@1 3.516 (4.568)	Prec@5 14.844 (15.700)
Epoch: [11][3060/7045]	Time 0.277 (0.252)	Data 0.227 (0.188)	Loss 5.1401 (5.0278)	Prec@1 2.344 (4.567)	Prec@5 15.234 (15.699)
Epoch: [11][3070/7045]	Time 0.319 (0.252)	Data 0.268 (0.188)	Loss 5.1399 (5.0278)	Prec@1 3.125 (4.566)	Prec@5 13.672 (15.698)
Epoch: [11][3080/7045]	Time 0.139 (0.252)	Data 0.088 (0.188)	Loss 5.1609 (5.0280)	Prec@1 4.297 (4.564)	Prec@5 14.062 (15.694)
Epoch: [11][3090/7045]	Time 0.264 (0.252)	Data 0.212 (0.189)	Loss 5.0720 (5.0281)	Prec@1 2.344 (4.564)	Prec@5 14.844 (15.696)
Epoch: [11][3100/7045]	Time 0.101 (0.252)	Data 0.002 (0.188)	Loss 5.0438 (5.0283)	Prec@1 3.125 (4.562)	Prec@5 15.234 (15.694)
Epoch: [11][3110/7045]	Time 0.269 (0.252)	Data 0.216 (0.188)	Loss 4.9996 (5.0285)	Prec@1 3.906 (4.561)	Prec@5 14.062 (15.692)
Epoch: [11][3120/7045]	Time 0.108 (0.252)	Data 0.001 (0.188)	Loss 5.0254 (5.0287)	Prec@1 4.688 (4.561)	Prec@5 16.016 (15.693)
Epoch: [11][3130/7045]	Time 0.166 (0.252)	Data 0.115 (0.188)	Loss 5.0449 (5.0287)	Prec@1 2.344 (4.559)	Prec@5 10.938 (15.691)
Epoch: [11][3140/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 4.9947 (5.0287)	Prec@1 4.297 (4.557)	Prec@5 16.016 (15.688)
Epoch: [11][3150/7045]	Time 0.574 (0.252)	Data 0.523 (0.189)	Loss 5.1151 (5.0287)	Prec@1 3.125 (4.556)	Prec@5 16.016 (15.688)
Epoch: [11][3160/7045]	Time 0.101 (0.252)	Data 0.001 (0.188)	Loss 5.0264 (5.0287)	Prec@1 4.688 (4.557)	Prec@5 15.234 (15.690)
Epoch: [11][3170/7045]	Time 0.797 (0.252)	Data 0.737 (0.189)	Loss 5.1738 (5.0289)	Prec@1 2.734 (4.554)	Prec@5 13.281 (15.686)
Epoch: [11][3180/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 5.0583 (5.0289)	Prec@1 5.469 (4.553)	Prec@5 15.625 (15.682)
Epoch: [11][3190/7045]	Time 0.326 (0.252)	Data 0.275 (0.188)	Loss 5.1534 (5.0290)	Prec@1 5.469 (4.552)	Prec@5 14.453 (15.681)
Epoch: [11][3200/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 4.9742 (5.0289)	Prec@1 4.688 (4.552)	Prec@5 14.844 (15.682)
Epoch: [11][3210/7045]	Time 0.334 (0.252)	Data 0.283 (0.188)	Loss 5.0725 (5.0289)	Prec@1 4.688 (4.552)	Prec@5 12.891 (15.682)
Epoch: [11][3220/7045]	Time 0.099 (0.252)	Data 0.001 (0.188)	Loss 4.8427 (5.0287)	Prec@1 6.641 (4.552)	Prec@5 19.141 (15.685)
Epoch: [11][3230/7045]	Time 0.278 (0.252)	Data 0.226 (0.188)	Loss 5.0931 (5.0286)	Prec@1 6.641 (4.554)	Prec@5 17.188 (15.687)
Epoch: [11][3240/7045]	Time 0.489 (0.252)	Data 0.437 (0.188)	Loss 5.1220 (5.0285)	Prec@1 4.688 (4.554)	Prec@5 14.062 (15.687)
Epoch: [11][3250/7045]	Time 0.282 (0.252)	Data 0.223 (0.188)	Loss 5.0731 (5.0284)	Prec@1 5.469 (4.553)	Prec@5 14.844 (15.688)
Epoch: [11][3260/7045]	Time 0.126 (0.252)	Data 0.075 (0.188)	Loss 5.1298 (5.0284)	Prec@1 4.688 (4.554)	Prec@5 15.625 (15.689)
Epoch: [11][3270/7045]	Time 0.324 (0.252)	Data 0.273 (0.188)	Loss 5.0450 (5.0284)	Prec@1 3.125 (4.553)	Prec@5 12.109 (15.688)
Epoch: [11][3280/7045]	Time 0.190 (0.252)	Data 0.140 (0.188)	Loss 5.0625 (5.0286)	Prec@1 3.516 (4.552)	Prec@5 13.281 (15.685)
Epoch: [11][3290/7045]	Time 0.207 (0.252)	Data 0.157 (0.188)	Loss 5.1794 (5.0287)	Prec@1 5.078 (4.553)	Prec@5 12.500 (15.682)
Epoch: [11][3300/7045]	Time 0.360 (0.252)	Data 0.307 (0.188)	Loss 5.0592 (5.0286)	Prec@1 3.125 (4.554)	Prec@5 14.453 (15.685)
Epoch: [11][3310/7045]	Time 0.125 (0.252)	Data 0.073 (0.188)	Loss 4.9130 (5.0285)	Prec@1 7.812 (4.557)	Prec@5 18.750 (15.688)
Epoch: [11][3320/7045]	Time 0.172 (0.252)	Data 0.121 (0.188)	Loss 5.0485 (5.0286)	Prec@1 2.344 (4.556)	Prec@5 14.062 (15.686)
Epoch: [11][3330/7045]	Time 0.126 (0.252)	Data 0.075 (0.188)	Loss 4.9390 (5.0285)	Prec@1 4.297 (4.555)	Prec@5 15.625 (15.684)
Epoch: [11][3340/7045]	Time 0.297 (0.252)	Data 0.246 (0.188)	Loss 4.9736 (5.0284)	Prec@1 1.562 (4.555)	Prec@5 14.453 (15.685)
Epoch: [11][3350/7045]	Time 0.169 (0.252)	Data 0.119 (0.188)	Loss 5.0373 (5.0282)	Prec@1 3.516 (4.556)	Prec@5 13.281 (15.689)
Epoch: [11][3360/7045]	Time 0.477 (0.252)	Data 0.426 (0.188)	Loss 5.1007 (5.0280)	Prec@1 4.297 (4.558)	Prec@5 14.453 (15.694)
Epoch: [11][3370/7045]	Time 0.109 (0.252)	Data 0.008 (0.188)	Loss 5.0159 (5.0279)	Prec@1 7.031 (4.559)	Prec@5 16.797 (15.695)
Epoch: [11][3380/7045]	Time 0.333 (0.252)	Data 0.282 (0.188)	Loss 5.0862 (5.0278)	Prec@1 4.297 (4.560)	Prec@5 12.109 (15.697)
Epoch: [11][3390/7045]	Time 0.103 (0.252)	Data 0.051 (0.188)	Loss 4.9753 (5.0277)	Prec@1 4.688 (4.562)	Prec@5 16.406 (15.700)
Epoch: [11][3400/7045]	Time 0.278 (0.252)	Data 0.228 (0.188)	Loss 5.0060 (5.0275)	Prec@1 5.469 (4.565)	Prec@5 16.016 (15.708)
Epoch: [11][3410/7045]	Time 0.285 (0.252)	Data 0.227 (0.188)	Loss 5.0595 (5.0273)	Prec@1 3.906 (4.566)	Prec@5 14.453 (15.710)
Epoch: [11][3420/7045]	Time 0.447 (0.252)	Data 0.396 (0.188)	Loss 4.9547 (5.0272)	Prec@1 3.906 (4.568)	Prec@5 17.578 (15.713)
Epoch: [11][3430/7045]	Time 0.463 (0.252)	Data 0.412 (0.188)	Loss 5.0699 (5.0272)	Prec@1 5.859 (4.569)	Prec@5 16.016 (15.711)
Epoch: [11][3440/7045]	Time 0.153 (0.252)	Data 0.102 (0.188)	Loss 5.1071 (5.0273)	Prec@1 4.297 (4.569)	Prec@5 15.234 (15.710)
Epoch: [11][3450/7045]	Time 0.646 (0.252)	Data 0.595 (0.188)	Loss 4.9721 (5.0276)	Prec@1 7.031 (4.569)	Prec@5 17.969 (15.707)
Epoch: [11][3460/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 5.0352 (5.0277)	Prec@1 3.516 (4.568)	Prec@5 15.625 (15.705)
Epoch: [11][3470/7045]	Time 0.441 (0.252)	Data 0.385 (0.188)	Loss 5.0208 (5.0277)	Prec@1 5.469 (4.568)	Prec@5 17.969 (15.704)
Epoch: [11][3480/7045]	Time 0.101 (0.252)	Data 0.001 (0.188)	Loss 4.7977 (5.0277)	Prec@1 5.078 (4.567)	Prec@5 19.531 (15.704)
Epoch: [11][3490/7045]	Time 0.378 (0.252)	Data 0.327 (0.188)	Loss 4.9598 (5.0276)	Prec@1 5.078 (4.568)	Prec@5 14.844 (15.705)
Epoch: [11][3500/7045]	Time 0.221 (0.252)	Data 0.169 (0.188)	Loss 4.7661 (5.0273)	Prec@1 7.031 (4.569)	Prec@5 17.188 (15.707)
Epoch: [11][3510/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 4.8653 (5.0273)	Prec@1 4.297 (4.570)	Prec@5 18.750 (15.709)
Epoch: [11][3520/7045]	Time 0.258 (0.252)	Data 0.207 (0.188)	Loss 4.9584 (5.0272)	Prec@1 4.297 (4.570)	Prec@5 17.969 (15.715)
Epoch: [11][3530/7045]	Time 0.101 (0.252)	Data 0.002 (0.188)	Loss 4.8877 (5.0272)	Prec@1 5.469 (4.571)	Prec@5 18.750 (15.716)
Epoch: [11][3540/7045]	Time 0.542 (0.252)	Data 0.491 (0.188)	Loss 4.9836 (5.0271)	Prec@1 3.906 (4.570)	Prec@5 15.234 (15.718)
Epoch: [11][3550/7045]	Time 0.101 (0.252)	Data 0.001 (0.188)	Loss 5.0777 (5.0270)	Prec@1 4.297 (4.569)	Prec@5 13.672 (15.720)
Epoch: [11][3560/7045]	Time 0.371 (0.252)	Data 0.319 (0.188)	Loss 5.0034 (5.0271)	Prec@1 3.516 (4.568)	Prec@5 16.797 (15.718)
Epoch: [11][3570/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 5.1019 (5.0270)	Prec@1 2.734 (4.570)	Prec@5 10.938 (15.721)
Epoch: [11][3580/7045]	Time 0.190 (0.252)	Data 0.131 (0.188)	Loss 5.0905 (5.0270)	Prec@1 3.125 (4.569)	Prec@5 15.625 (15.720)
Epoch: [11][3590/7045]	Time 0.101 (0.251)	Data 0.050 (0.188)	Loss 5.2351 (5.0273)	Prec@1 3.125 (4.568)	Prec@5 13.672 (15.716)
Epoch: [11][3600/7045]	Time 0.345 (0.252)	Data 0.295 (0.188)	Loss 4.9577 (5.0275)	Prec@1 5.469 (4.567)	Prec@5 20.312 (15.711)
Epoch: [11][3610/7045]	Time 0.102 (0.252)	Data 0.004 (0.188)	Loss 5.1719 (5.0277)	Prec@1 5.469 (4.565)	Prec@5 13.281 (15.707)
Epoch: [11][3620/7045]	Time 0.197 (0.252)	Data 0.146 (0.188)	Loss 4.9556 (5.0277)	Prec@1 5.469 (4.565)	Prec@5 19.141 (15.706)
Epoch: [11][3630/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 4.9678 (5.0277)	Prec@1 3.906 (4.564)	Prec@5 16.406 (15.705)
Epoch: [11][3640/7045]	Time 0.115 (0.252)	Data 0.064 (0.188)	Loss 4.9457 (5.0275)	Prec@1 3.906 (4.563)	Prec@5 15.625 (15.706)
Epoch: [11][3650/7045]	Time 0.267 (0.252)	Data 0.214 (0.188)	Loss 4.9965 (5.0275)	Prec@1 3.125 (4.563)	Prec@5 13.281 (15.707)
Epoch: [11][3660/7045]	Time 0.253 (0.252)	Data 0.200 (0.188)	Loss 5.0180 (5.0276)	Prec@1 5.469 (4.564)	Prec@5 12.891 (15.706)
Epoch: [11][3670/7045]	Time 0.138 (0.252)	Data 0.087 (0.188)	Loss 5.1428 (5.0275)	Prec@1 1.172 (4.564)	Prec@5 14.062 (15.709)
Epoch: [11][3680/7045]	Time 0.122 (0.252)	Data 0.070 (0.188)	Loss 5.0339 (5.0276)	Prec@1 3.906 (4.563)	Prec@5 14.453 (15.707)
Epoch: [11][3690/7045]	Time 0.101 (0.252)	Data 0.001 (0.188)	Loss 5.0339 (5.0277)	Prec@1 3.125 (4.563)	Prec@5 14.062 (15.706)
Epoch: [11][3700/7045]	Time 0.198 (0.252)	Data 0.147 (0.188)	Loss 5.0466 (5.0276)	Prec@1 4.688 (4.564)	Prec@5 15.234 (15.706)
Epoch: [11][3710/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 4.8339 (5.0275)	Prec@1 5.469 (4.565)	Prec@5 20.312 (15.710)
Epoch: [11][3720/7045]	Time 0.461 (0.252)	Data 0.410 (0.188)	Loss 4.9936 (5.0274)	Prec@1 4.297 (4.568)	Prec@5 15.234 (15.713)
Epoch: [11][3730/7045]	Time 0.100 (0.252)	Data 0.046 (0.188)	Loss 5.1727 (5.0274)	Prec@1 1.562 (4.565)	Prec@5 12.109 (15.714)
Epoch: [11][3740/7045]	Time 0.101 (0.252)	Data 0.003 (0.188)	Loss 5.0334 (5.0274)	Prec@1 4.297 (4.565)	Prec@5 16.016 (15.712)
Epoch: [11][3750/7045]	Time 0.432 (0.252)	Data 0.372 (0.188)	Loss 5.1207 (5.0275)	Prec@1 2.734 (4.563)	Prec@5 13.281 (15.710)
Epoch: [11][3760/7045]	Time 0.106 (0.252)	Data 0.015 (0.188)	Loss 5.0578 (5.0276)	Prec@1 3.906 (4.561)	Prec@5 12.500 (15.707)
Epoch: [11][3770/7045]	Time 0.471 (0.252)	Data 0.420 (0.188)	Loss 4.9397 (5.0276)	Prec@1 5.859 (4.563)	Prec@5 16.016 (15.706)
Epoch: [11][3780/7045]	Time 0.476 (0.252)	Data 0.425 (0.188)	Loss 5.1201 (5.0277)	Prec@1 3.906 (4.562)	Prec@5 14.062 (15.707)
Epoch: [11][3790/7045]	Time 0.107 (0.252)	Data 0.001 (0.188)	Loss 4.9689 (5.0278)	Prec@1 3.516 (4.562)	Prec@5 16.016 (15.703)
Epoch: [11][3800/7045]	Time 0.689 (0.252)	Data 0.637 (0.188)	Loss 5.1881 (5.0279)	Prec@1 3.125 (4.563)	Prec@5 16.016 (15.704)
Epoch: [11][3810/7045]	Time 0.124 (0.252)	Data 0.073 (0.188)	Loss 5.0848 (5.0279)	Prec@1 5.859 (4.564)	Prec@5 13.672 (15.704)
Epoch: [11][3820/7045]	Time 0.549 (0.252)	Data 0.498 (0.188)	Loss 4.9790 (5.0280)	Prec@1 7.422 (4.563)	Prec@5 17.578 (15.700)
Epoch: [11][3830/7045]	Time 0.110 (0.252)	Data 0.059 (0.188)	Loss 4.9304 (5.0282)	Prec@1 7.812 (4.562)	Prec@5 18.750 (15.698)
Epoch: [11][3840/7045]	Time 0.472 (0.252)	Data 0.421 (0.188)	Loss 5.0152 (5.0282)	Prec@1 3.516 (4.561)	Prec@5 12.891 (15.699)
Epoch: [11][3850/7045]	Time 0.119 (0.252)	Data 0.068 (0.188)	Loss 5.1128 (5.0281)	Prec@1 1.953 (4.562)	Prec@5 15.625 (15.702)
Epoch: [11][3860/7045]	Time 0.257 (0.251)	Data 0.205 (0.188)	Loss 5.0903 (5.0280)	Prec@1 4.297 (4.562)	Prec@5 11.719 (15.699)
Epoch: [11][3870/7045]	Time 0.292 (0.251)	Data 0.241 (0.188)	Loss 5.1298 (5.0281)	Prec@1 4.297 (4.561)	Prec@5 13.281 (15.699)
Epoch: [11][3880/7045]	Time 0.303 (0.251)	Data 0.246 (0.188)	Loss 5.1609 (5.0282)	Prec@1 2.344 (4.560)	Prec@5 13.672 (15.696)
Epoch: [11][3890/7045]	Time 0.459 (0.252)	Data 0.407 (0.188)	Loss 4.9447 (5.0282)	Prec@1 4.688 (4.562)	Prec@5 20.312 (15.699)
Epoch: [11][3900/7045]	Time 0.101 (0.251)	Data 0.001 (0.188)	Loss 4.9930 (5.0282)	Prec@1 2.734 (4.561)	Prec@5 14.844 (15.698)
Epoch: [11][3910/7045]	Time 0.104 (0.251)	Data 0.053 (0.188)	Loss 5.0180 (5.0281)	Prec@1 2.734 (4.562)	Prec@5 15.625 (15.698)
Epoch: [11][3920/7045]	Time 0.429 (0.252)	Data 0.369 (0.188)	Loss 4.9738 (5.0279)	Prec@1 4.297 (4.564)	Prec@5 17.188 (15.702)
Epoch: [11][3930/7045]	Time 0.109 (0.251)	Data 0.002 (0.188)	Loss 4.8591 (5.0276)	Prec@1 6.641 (4.566)	Prec@5 19.922 (15.706)
Epoch: [11][3940/7045]	Time 0.661 (0.252)	Data 0.611 (0.188)	Loss 5.1357 (5.0276)	Prec@1 6.250 (4.567)	Prec@5 16.797 (15.705)
Epoch: [11][3950/7045]	Time 0.239 (0.252)	Data 0.188 (0.188)	Loss 4.9777 (5.0276)	Prec@1 5.859 (4.569)	Prec@5 16.797 (15.707)
Epoch: [11][3960/7045]	Time 0.462 (0.252)	Data 0.406 (0.188)	Loss 4.9535 (5.0274)	Prec@1 3.906 (4.570)	Prec@5 19.141 (15.713)
Epoch: [11][3970/7045]	Time 0.512 (0.252)	Data 0.460 (0.188)	Loss 5.0998 (5.0274)	Prec@1 5.859 (4.570)	Prec@5 16.406 (15.715)
Epoch: [11][3980/7045]	Time 0.111 (0.252)	Data 0.016 (0.188)	Loss 4.8879 (5.0273)	Prec@1 4.297 (4.572)	Prec@5 16.797 (15.714)
Epoch: [11][3990/7045]	Time 0.431 (0.252)	Data 0.375 (0.188)	Loss 4.9076 (5.0271)	Prec@1 3.906 (4.573)	Prec@5 17.578 (15.717)
Epoch: [11][4000/7045]	Time 0.458 (0.252)	Data 0.407 (0.188)	Loss 4.9344 (5.0269)	Prec@1 3.125 (4.571)	Prec@5 17.969 (15.716)
Epoch: [11][4010/7045]	Time 0.324 (0.252)	Data 0.269 (0.188)	Loss 5.0182 (5.0271)	Prec@1 3.906 (4.569)	Prec@5 16.016 (15.713)
Epoch: [11][4020/7045]	Time 0.364 (0.252)	Data 0.302 (0.188)	Loss 5.1471 (5.0272)	Prec@1 5.078 (4.569)	Prec@5 12.500 (15.711)
Epoch: [11][4030/7045]	Time 0.243 (0.252)	Data 0.192 (0.188)	Loss 5.0588 (5.0273)	Prec@1 3.906 (4.568)	Prec@5 16.797 (15.709)
Epoch: [11][4040/7045]	Time 0.149 (0.252)	Data 0.097 (0.188)	Loss 5.2445 (5.0276)	Prec@1 3.906 (4.568)	Prec@5 11.328 (15.705)
Epoch: [11][4050/7045]	Time 0.238 (0.252)	Data 0.187 (0.188)	Loss 4.9718 (5.0276)	Prec@1 3.906 (4.566)	Prec@5 14.453 (15.704)
Epoch: [11][4060/7045]	Time 0.146 (0.252)	Data 0.095 (0.188)	Loss 5.1304 (5.0275)	Prec@1 5.078 (4.566)	Prec@5 11.719 (15.703)
Epoch: [11][4070/7045]	Time 0.164 (0.252)	Data 0.113 (0.188)	Loss 5.0411 (5.0274)	Prec@1 1.953 (4.566)	Prec@5 13.672 (15.703)
Epoch: [11][4080/7045]	Time 0.102 (0.252)	Data 0.050 (0.188)	Loss 5.0142 (5.0273)	Prec@1 5.078 (4.567)	Prec@5 16.016 (15.706)
Epoch: [11][4090/7045]	Time 0.364 (0.252)	Data 0.312 (0.188)	Loss 5.1738 (5.0274)	Prec@1 6.641 (4.568)	Prec@5 16.797 (15.707)
Epoch: [11][4100/7045]	Time 0.301 (0.252)	Data 0.249 (0.188)	Loss 5.1349 (5.0277)	Prec@1 4.688 (4.566)	Prec@5 14.453 (15.703)
Epoch: [11][4110/7045]	Time 0.451 (0.252)	Data 0.398 (0.188)	Loss 5.0196 (5.0279)	Prec@1 6.641 (4.566)	Prec@5 18.750 (15.702)
Epoch: [11][4120/7045]	Time 0.493 (0.252)	Data 0.442 (0.188)	Loss 5.0099 (5.0280)	Prec@1 4.688 (4.564)	Prec@5 15.625 (15.700)
Epoch: [11][4130/7045]	Time 0.217 (0.252)	Data 0.167 (0.188)	Loss 4.9559 (5.0280)	Prec@1 4.297 (4.563)	Prec@5 17.188 (15.699)
Epoch: [11][4140/7045]	Time 0.285 (0.252)	Data 0.235 (0.188)	Loss 4.8447 (5.0280)	Prec@1 5.859 (4.564)	Prec@5 22.266 (15.701)
Epoch: [11][4150/7045]	Time 0.592 (0.252)	Data 0.541 (0.188)	Loss 4.9358 (5.0279)	Prec@1 6.250 (4.566)	Prec@5 19.141 (15.703)
Epoch: [11][4160/7045]	Time 0.099 (0.252)	Data 0.001 (0.188)	Loss 5.0209 (5.0280)	Prec@1 3.906 (4.565)	Prec@5 15.234 (15.700)
Epoch: [11][4170/7045]	Time 0.569 (0.252)	Data 0.518 (0.188)	Loss 5.0630 (5.0281)	Prec@1 5.078 (4.564)	Prec@5 15.234 (15.701)
Epoch: [11][4180/7045]	Time 0.168 (0.252)	Data 0.117 (0.188)	Loss 5.0697 (5.0281)	Prec@1 4.297 (4.564)	Prec@5 17.188 (15.699)
Epoch: [11][4190/7045]	Time 0.131 (0.252)	Data 0.079 (0.188)	Loss 5.1638 (5.0282)	Prec@1 5.859 (4.565)	Prec@5 12.891 (15.698)
Epoch: [11][4200/7045]	Time 0.117 (0.252)	Data 0.055 (0.188)	Loss 4.9988 (5.0281)	Prec@1 4.297 (4.563)	Prec@5 18.359 (15.701)
Epoch: [11][4210/7045]	Time 0.406 (0.252)	Data 0.353 (0.188)	Loss 4.9262 (5.0281)	Prec@1 5.078 (4.563)	Prec@5 16.406 (15.701)
Epoch: [11][4220/7045]	Time 0.141 (0.252)	Data 0.091 (0.188)	Loss 5.0894 (5.0282)	Prec@1 5.078 (4.562)	Prec@5 17.578 (15.702)
Epoch: [11][4230/7045]	Time 0.504 (0.252)	Data 0.447 (0.188)	Loss 5.0567 (5.0281)	Prec@1 5.469 (4.562)	Prec@5 19.141 (15.700)
Epoch: [11][4240/7045]	Time 0.135 (0.252)	Data 0.083 (0.188)	Loss 5.0041 (5.0282)	Prec@1 5.078 (4.562)	Prec@5 16.797 (15.699)
Epoch: [11][4250/7045]	Time 0.348 (0.252)	Data 0.297 (0.188)	Loss 4.9380 (5.0282)	Prec@1 4.688 (4.561)	Prec@5 17.578 (15.698)
Epoch: [11][4260/7045]	Time 0.380 (0.252)	Data 0.329 (0.188)	Loss 4.8058 (5.0281)	Prec@1 8.984 (4.563)	Prec@5 19.531 (15.700)
Epoch: [11][4270/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 4.8516 (5.0280)	Prec@1 7.422 (4.563)	Prec@5 19.531 (15.703)
Epoch: [11][4280/7045]	Time 0.607 (0.252)	Data 0.555 (0.188)	Loss 5.0504 (5.0280)	Prec@1 5.469 (4.564)	Prec@5 17.578 (15.701)
Epoch: [11][4290/7045]	Time 0.102 (0.252)	Data 0.016 (0.188)	Loss 5.0394 (5.0278)	Prec@1 3.516 (4.564)	Prec@5 13.281 (15.705)
Epoch: [11][4300/7045]	Time 0.104 (0.252)	Data 0.051 (0.188)	Loss 4.8274 (5.0277)	Prec@1 5.859 (4.566)	Prec@5 19.531 (15.706)
Epoch: [11][4310/7045]	Time 0.102 (0.252)	Data 0.014 (0.189)	Loss 5.0034 (5.0277)	Prec@1 7.422 (4.567)	Prec@5 17.578 (15.707)
Epoch: [11][4320/7045]	Time 0.392 (0.252)	Data 0.340 (0.189)	Loss 5.0640 (5.0276)	Prec@1 5.469 (4.567)	Prec@5 14.453 (15.708)
Epoch: [11][4330/7045]	Time 0.100 (0.252)	Data 0.046 (0.189)	Loss 5.0184 (5.0277)	Prec@1 5.469 (4.566)	Prec@5 15.625 (15.706)
Epoch: [11][4340/7045]	Time 0.108 (0.252)	Data 0.030 (0.189)	Loss 5.0823 (5.0279)	Prec@1 3.906 (4.564)	Prec@5 13.672 (15.703)
Epoch: [11][4350/7045]	Time 0.107 (0.252)	Data 0.055 (0.189)	Loss 5.2071 (5.0278)	Prec@1 2.734 (4.564)	Prec@5 12.891 (15.704)
Epoch: [11][4360/7045]	Time 0.177 (0.252)	Data 0.121 (0.189)	Loss 4.9481 (5.0278)	Prec@1 4.688 (4.565)	Prec@5 14.453 (15.706)
Epoch: [11][4370/7045]	Time 0.378 (0.252)	Data 0.326 (0.189)	Loss 4.9104 (5.0277)	Prec@1 7.812 (4.567)	Prec@5 15.234 (15.707)
Epoch: [11][4380/7045]	Time 0.102 (0.252)	Data 0.001 (0.189)	Loss 5.0829 (5.0276)	Prec@1 2.734 (4.569)	Prec@5 12.500 (15.709)
Epoch: [11][4390/7045]	Time 0.110 (0.252)	Data 0.001 (0.189)	Loss 4.9714 (5.0275)	Prec@1 5.469 (4.570)	Prec@5 18.750 (15.710)
Epoch: [11][4400/7045]	Time 0.281 (0.252)	Data 0.230 (0.189)	Loss 4.9812 (5.0275)	Prec@1 3.516 (4.568)	Prec@5 15.625 (15.711)
Epoch: [11][4410/7045]	Time 0.102 (0.252)	Data 0.014 (0.189)	Loss 4.8555 (5.0274)	Prec@1 6.641 (4.568)	Prec@5 18.750 (15.713)
Epoch: [11][4420/7045]	Time 0.220 (0.252)	Data 0.168 (0.189)	Loss 4.9356 (5.0273)	Prec@1 6.250 (4.568)	Prec@5 20.312 (15.717)
Epoch: [11][4430/7045]	Time 0.112 (0.252)	Data 0.056 (0.189)	Loss 5.0112 (5.0274)	Prec@1 4.297 (4.567)	Prec@5 15.234 (15.716)
Epoch: [11][4440/7045]	Time 0.224 (0.252)	Data 0.170 (0.189)	Loss 5.1151 (5.0274)	Prec@1 3.516 (4.567)	Prec@5 11.719 (15.718)
Epoch: [11][4450/7045]	Time 0.185 (0.252)	Data 0.133 (0.189)	Loss 4.9003 (5.0272)	Prec@1 7.031 (4.568)	Prec@5 17.969 (15.720)
Epoch: [11][4460/7045]	Time 0.115 (0.252)	Data 0.063 (0.189)	Loss 5.0458 (5.0272)	Prec@1 3.906 (4.568)	Prec@5 15.625 (15.720)
Epoch: [11][4470/7045]	Time 0.215 (0.252)	Data 0.155 (0.189)	Loss 5.1670 (5.0273)	Prec@1 5.859 (4.570)	Prec@5 15.234 (15.719)
Epoch: [11][4480/7045]	Time 0.169 (0.252)	Data 0.118 (0.189)	Loss 5.0034 (5.0273)	Prec@1 3.516 (4.569)	Prec@5 17.578 (15.721)
Epoch: [11][4490/7045]	Time 0.308 (0.252)	Data 0.250 (0.189)	Loss 5.1899 (5.0273)	Prec@1 5.078 (4.570)	Prec@5 16.016 (15.721)
Epoch: [11][4500/7045]	Time 0.101 (0.252)	Data 0.004 (0.189)	Loss 5.0703 (5.0272)	Prec@1 2.344 (4.569)	Prec@5 13.281 (15.723)
Epoch: [11][4510/7045]	Time 0.300 (0.252)	Data 0.249 (0.189)	Loss 5.0807 (5.0272)	Prec@1 2.734 (4.568)	Prec@5 12.891 (15.722)
Epoch: [11][4520/7045]	Time 0.166 (0.252)	Data 0.116 (0.189)	Loss 4.8173 (5.0270)	Prec@1 6.250 (4.571)	Prec@5 19.531 (15.726)
Epoch: [11][4530/7045]	Time 0.136 (0.252)	Data 0.084 (0.189)	Loss 5.0244 (5.0272)	Prec@1 3.906 (4.568)	Prec@5 16.016 (15.722)
Epoch: [11][4540/7045]	Time 0.094 (0.252)	Data 0.001 (0.189)	Loss 5.0181 (5.0273)	Prec@1 7.031 (4.569)	Prec@5 16.406 (15.719)
Epoch: [11][4550/7045]	Time 0.101 (0.252)	Data 0.001 (0.188)	Loss 4.9791 (5.0274)	Prec@1 5.469 (4.569)	Prec@5 15.234 (15.716)
Epoch: [11][4560/7045]	Time 0.103 (0.252)	Data 0.002 (0.188)	Loss 5.0049 (5.0273)	Prec@1 3.906 (4.570)	Prec@5 14.062 (15.717)
Epoch: [11][4570/7045]	Time 0.483 (0.252)	Data 0.432 (0.189)	Loss 4.9651 (5.0274)	Prec@1 5.859 (4.568)	Prec@5 19.531 (15.715)
Epoch: [11][4580/7045]	Time 0.109 (0.252)	Data 0.001 (0.188)	Loss 5.0431 (5.0273)	Prec@1 3.516 (4.567)	Prec@5 15.234 (15.714)
Epoch: [11][4590/7045]	Time 0.523 (0.252)	Data 0.471 (0.188)	Loss 4.8610 (5.0274)	Prec@1 8.594 (4.566)	Prec@5 20.312 (15.714)
Epoch: [11][4600/7045]	Time 0.115 (0.252)	Data 0.064 (0.188)	Loss 5.0245 (5.0274)	Prec@1 4.297 (4.566)	Prec@5 14.062 (15.713)
Epoch: [11][4610/7045]	Time 0.183 (0.252)	Data 0.125 (0.188)	Loss 5.0148 (5.0274)	Prec@1 4.297 (4.567)	Prec@5 15.625 (15.714)
Epoch: [11][4620/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 5.0741 (5.0274)	Prec@1 5.859 (4.567)	Prec@5 14.844 (15.716)
Epoch: [11][4630/7045]	Time 0.114 (0.252)	Data 0.063 (0.188)	Loss 4.9655 (5.0273)	Prec@1 4.297 (4.566)	Prec@5 20.312 (15.716)
Epoch: [11][4640/7045]	Time 0.108 (0.252)	Data 0.056 (0.188)	Loss 4.8844 (5.0273)	Prec@1 3.516 (4.566)	Prec@5 17.578 (15.717)
Epoch: [11][4650/7045]	Time 0.231 (0.252)	Data 0.178 (0.188)	Loss 5.0821 (5.0272)	Prec@1 3.125 (4.566)	Prec@5 12.891 (15.717)
Epoch: [11][4660/7045]	Time 0.133 (0.252)	Data 0.082 (0.188)	Loss 5.1995 (5.0273)	Prec@1 2.344 (4.564)	Prec@5 11.719 (15.715)
Epoch: [11][4670/7045]	Time 0.102 (0.252)	Data 0.006 (0.188)	Loss 5.0618 (5.0273)	Prec@1 3.125 (4.565)	Prec@5 15.625 (15.717)
Epoch: [11][4680/7045]	Time 0.301 (0.252)	Data 0.250 (0.188)	Loss 5.2024 (5.0275)	Prec@1 3.125 (4.563)	Prec@5 14.453 (15.715)
Epoch: [11][4690/7045]	Time 0.105 (0.252)	Data 0.052 (0.188)	Loss 4.9883 (5.0275)	Prec@1 5.078 (4.563)	Prec@5 18.750 (15.714)
Epoch: [11][4700/7045]	Time 0.240 (0.252)	Data 0.188 (0.188)	Loss 5.0884 (5.0276)	Prec@1 3.125 (4.561)	Prec@5 16.016 (15.712)
Epoch: [11][4710/7045]	Time 0.107 (0.252)	Data 0.007 (0.188)	Loss 4.9525 (5.0276)	Prec@1 7.812 (4.562)	Prec@5 18.359 (15.712)
Epoch: [11][4720/7045]	Time 0.480 (0.252)	Data 0.428 (0.188)	Loss 4.9635 (5.0276)	Prec@1 4.688 (4.562)	Prec@5 17.969 (15.711)
Epoch: [11][4730/7045]	Time 0.302 (0.252)	Data 0.250 (0.188)	Loss 5.0641 (5.0276)	Prec@1 5.859 (4.561)	Prec@5 13.672 (15.712)
Epoch: [11][4740/7045]	Time 0.388 (0.252)	Data 0.336 (0.188)	Loss 4.9529 (5.0275)	Prec@1 3.125 (4.560)	Prec@5 16.797 (15.714)
Epoch: [11][4750/7045]	Time 0.359 (0.252)	Data 0.309 (0.188)	Loss 4.9188 (5.0275)	Prec@1 5.859 (4.560)	Prec@5 17.969 (15.712)
Epoch: [11][4760/7045]	Time 0.585 (0.252)	Data 0.535 (0.188)	Loss 4.9108 (5.0275)	Prec@1 3.125 (4.559)	Prec@5 19.141 (15.711)
Epoch: [11][4770/7045]	Time 0.108 (0.252)	Data 0.057 (0.188)	Loss 5.1270 (5.0276)	Prec@1 5.078 (4.559)	Prec@5 14.844 (15.710)
Epoch: [11][4780/7045]	Time 0.254 (0.252)	Data 0.203 (0.188)	Loss 5.0212 (5.0276)	Prec@1 2.734 (4.558)	Prec@5 13.672 (15.710)
Epoch: [11][4790/7045]	Time 0.102 (0.252)	Data 0.014 (0.188)	Loss 5.1083 (5.0275)	Prec@1 2.344 (4.558)	Prec@5 12.891 (15.711)
Epoch: [11][4800/7045]	Time 0.101 (0.252)	Data 0.004 (0.188)	Loss 4.9351 (5.0275)	Prec@1 6.250 (4.558)	Prec@5 15.234 (15.709)
Epoch: [11][4810/7045]	Time 0.529 (0.252)	Data 0.479 (0.188)	Loss 5.0018 (5.0274)	Prec@1 2.344 (4.558)	Prec@5 15.625 (15.707)
Epoch: [11][4820/7045]	Time 0.103 (0.252)	Data 0.014 (0.188)	Loss 5.1263 (5.0274)	Prec@1 5.078 (4.557)	Prec@5 14.844 (15.706)
Epoch: [11][4830/7045]	Time 0.292 (0.252)	Data 0.239 (0.188)	Loss 5.0044 (5.0274)	Prec@1 2.734 (4.557)	Prec@5 12.109 (15.706)
Epoch: [11][4840/7045]	Time 0.365 (0.252)	Data 0.308 (0.188)	Loss 5.0653 (5.0273)	Prec@1 3.516 (4.557)	Prec@5 11.719 (15.704)
Epoch: [11][4850/7045]	Time 0.094 (0.252)	Data 0.001 (0.188)	Loss 5.1188 (5.0274)	Prec@1 5.078 (4.556)	Prec@5 14.062 (15.702)
Epoch: [11][4860/7045]	Time 0.374 (0.252)	Data 0.323 (0.188)	Loss 5.1144 (5.0274)	Prec@1 3.906 (4.557)	Prec@5 16.016 (15.704)
Epoch: [11][4870/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 4.9900 (5.0272)	Prec@1 3.516 (4.559)	Prec@5 17.969 (15.710)
Epoch: [11][4880/7045]	Time 0.102 (0.252)	Data 0.013 (0.188)	Loss 4.9915 (5.0271)	Prec@1 6.641 (4.559)	Prec@5 17.188 (15.714)
Epoch: [11][4890/7045]	Time 0.360 (0.252)	Data 0.308 (0.188)	Loss 5.0828 (5.0270)	Prec@1 2.344 (4.558)	Prec@5 14.453 (15.715)
Epoch: [11][4900/7045]	Time 0.181 (0.252)	Data 0.130 (0.188)	Loss 5.0351 (5.0269)	Prec@1 1.953 (4.558)	Prec@5 13.281 (15.716)
Epoch: [11][4910/7045]	Time 0.506 (0.252)	Data 0.448 (0.188)	Loss 5.0580 (5.0268)	Prec@1 3.906 (4.558)	Prec@5 13.281 (15.717)
Epoch: [11][4920/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 4.9020 (5.0267)	Prec@1 6.250 (4.558)	Prec@5 19.922 (15.719)
Epoch: [11][4930/7045]	Time 0.113 (0.252)	Data 0.061 (0.188)	Loss 4.9865 (5.0267)	Prec@1 4.297 (4.558)	Prec@5 15.625 (15.720)
Epoch: [11][4940/7045]	Time 0.217 (0.252)	Data 0.167 (0.188)	Loss 5.0284 (5.0267)	Prec@1 3.125 (4.559)	Prec@5 14.453 (15.719)
Epoch: [11][4950/7045]	Time 0.102 (0.252)	Data 0.006 (0.188)	Loss 4.9437 (5.0267)	Prec@1 6.250 (4.559)	Prec@5 16.016 (15.719)
Epoch: [11][4960/7045]	Time 0.109 (0.252)	Data 0.015 (0.188)	Loss 4.8626 (5.0265)	Prec@1 5.859 (4.561)	Prec@5 22.656 (15.722)
Epoch: [11][4970/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 4.9710 (5.0264)	Prec@1 4.297 (4.562)	Prec@5 16.797 (15.722)
Epoch: [11][4980/7045]	Time 0.102 (0.252)	Data 0.007 (0.188)	Loss 4.9217 (5.0263)	Prec@1 2.344 (4.562)	Prec@5 18.750 (15.722)
Epoch: [11][4990/7045]	Time 0.118 (0.252)	Data 0.066 (0.188)	Loss 5.0058 (5.0262)	Prec@1 6.250 (4.564)	Prec@5 15.625 (15.724)
Epoch: [11][5000/7045]	Time 0.102 (0.252)	Data 0.010 (0.188)	Loss 4.9102 (5.0261)	Prec@1 6.250 (4.565)	Prec@5 18.750 (15.725)
Epoch: [11][5010/7045]	Time 0.210 (0.252)	Data 0.151 (0.188)	Loss 5.0643 (5.0261)	Prec@1 3.125 (4.564)	Prec@5 15.234 (15.725)
Epoch: [11][5020/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 4.9508 (5.0261)	Prec@1 5.469 (4.564)	Prec@5 17.578 (15.726)
Epoch: [11][5030/7045]	Time 0.372 (0.252)	Data 0.320 (0.188)	Loss 4.8675 (5.0259)	Prec@1 6.641 (4.566)	Prec@5 18.750 (15.729)
Epoch: [11][5040/7045]	Time 0.312 (0.252)	Data 0.262 (0.188)	Loss 4.9842 (5.0260)	Prec@1 4.297 (4.565)	Prec@5 19.141 (15.731)
Epoch: [11][5050/7045]	Time 0.147 (0.252)	Data 0.096 (0.188)	Loss 5.0544 (5.0260)	Prec@1 5.859 (4.566)	Prec@5 16.406 (15.731)
Epoch: [11][5060/7045]	Time 0.392 (0.252)	Data 0.342 (0.188)	Loss 5.0923 (5.0260)	Prec@1 3.906 (4.564)	Prec@5 15.234 (15.730)
Epoch: [11][5070/7045]	Time 0.097 (0.252)	Data 0.001 (0.188)	Loss 4.9667 (5.0261)	Prec@1 2.734 (4.563)	Prec@5 16.406 (15.729)
Epoch: [11][5080/7045]	Time 0.565 (0.252)	Data 0.510 (0.188)	Loss 5.0465 (5.0262)	Prec@1 2.344 (4.562)	Prec@5 12.500 (15.726)
Epoch: [11][5090/7045]	Time 0.274 (0.252)	Data 0.221 (0.188)	Loss 5.1954 (5.0264)	Prec@1 3.125 (4.561)	Prec@5 11.328 (15.723)
Epoch: [11][5100/7045]	Time 0.174 (0.252)	Data 0.124 (0.188)	Loss 4.9295 (5.0264)	Prec@1 5.078 (4.561)	Prec@5 17.969 (15.724)
Epoch: [11][5110/7045]	Time 0.462 (0.252)	Data 0.411 (0.188)	Loss 5.0020 (5.0264)	Prec@1 6.641 (4.561)	Prec@5 19.531 (15.724)
Epoch: [11][5120/7045]	Time 0.263 (0.252)	Data 0.213 (0.188)	Loss 5.0546 (5.0264)	Prec@1 5.859 (4.562)	Prec@5 14.062 (15.724)
Epoch: [11][5130/7045]	Time 0.108 (0.252)	Data 0.056 (0.188)	Loss 5.0011 (5.0264)	Prec@1 3.125 (4.563)	Prec@5 16.797 (15.725)
Epoch: [11][5140/7045]	Time 0.586 (0.252)	Data 0.526 (0.188)	Loss 5.0879 (5.0264)	Prec@1 2.344 (4.562)	Prec@5 11.719 (15.725)
Epoch: [11][5150/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 4.8789 (5.0263)	Prec@1 5.078 (4.562)	Prec@5 17.969 (15.726)
Epoch: [11][5160/7045]	Time 0.158 (0.252)	Data 0.107 (0.188)	Loss 4.9842 (5.0263)	Prec@1 5.859 (4.562)	Prec@5 17.969 (15.728)
Epoch: [11][5170/7045]	Time 0.604 (0.252)	Data 0.554 (0.188)	Loss 5.0981 (5.0263)	Prec@1 4.297 (4.561)	Prec@5 13.281 (15.728)
Epoch: [11][5180/7045]	Time 0.101 (0.252)	Data 0.001 (0.188)	Loss 4.8678 (5.0262)	Prec@1 7.422 (4.560)	Prec@5 19.141 (15.726)
Epoch: [11][5190/7045]	Time 0.269 (0.252)	Data 0.217 (0.188)	Loss 5.0592 (5.0262)	Prec@1 5.078 (4.559)	Prec@5 12.891 (15.725)
Epoch: [11][5200/7045]	Time 0.271 (0.252)	Data 0.219 (0.188)	Loss 5.1107 (5.0263)	Prec@1 3.906 (4.560)	Prec@5 14.062 (15.726)
Epoch: [11][5210/7045]	Time 0.302 (0.252)	Data 0.250 (0.188)	Loss 5.0079 (5.0261)	Prec@1 5.469 (4.561)	Prec@5 16.797 (15.729)
Epoch: [11][5220/7045]	Time 0.269 (0.252)	Data 0.213 (0.188)	Loss 4.9977 (5.0261)	Prec@1 3.125 (4.560)	Prec@5 15.234 (15.728)
Epoch: [11][5230/7045]	Time 0.159 (0.252)	Data 0.109 (0.188)	Loss 4.9326 (5.0261)	Prec@1 4.297 (4.559)	Prec@5 14.453 (15.727)
Epoch: [11][5240/7045]	Time 0.101 (0.252)	Data 0.009 (0.188)	Loss 5.0819 (5.0260)	Prec@1 3.906 (4.560)	Prec@5 14.062 (15.728)
Epoch: [11][5250/7045]	Time 0.535 (0.252)	Data 0.482 (0.188)	Loss 5.1223 (5.0259)	Prec@1 3.906 (4.561)	Prec@5 14.453 (15.730)
Epoch: [11][5260/7045]	Time 0.121 (0.252)	Data 0.070 (0.188)	Loss 5.0127 (5.0258)	Prec@1 3.125 (4.561)	Prec@5 15.625 (15.733)
Epoch: [11][5270/7045]	Time 0.414 (0.252)	Data 0.364 (0.188)	Loss 4.9680 (5.0257)	Prec@1 3.516 (4.561)	Prec@5 16.016 (15.733)
Epoch: [11][5280/7045]	Time 0.113 (0.252)	Data 0.061 (0.188)	Loss 4.9902 (5.0258)	Prec@1 4.297 (4.560)	Prec@5 15.234 (15.731)
Epoch: [11][5290/7045]	Time 0.315 (0.252)	Data 0.262 (0.188)	Loss 5.1274 (5.0259)	Prec@1 3.906 (4.560)	Prec@5 13.672 (15.730)
Epoch: [11][5300/7045]	Time 0.177 (0.252)	Data 0.126 (0.188)	Loss 4.9597 (5.0259)	Prec@1 4.688 (4.561)	Prec@5 16.016 (15.730)
Epoch: [11][5310/7045]	Time 0.108 (0.252)	Data 0.001 (0.188)	Loss 5.1931 (5.0259)	Prec@1 4.688 (4.561)	Prec@5 15.234 (15.731)
Epoch: [11][5320/7045]	Time 0.330 (0.252)	Data 0.275 (0.188)	Loss 4.9664 (5.0260)	Prec@1 3.516 (4.559)	Prec@5 16.016 (15.730)
Epoch: [11][5330/7045]	Time 0.106 (0.252)	Data 0.054 (0.188)	Loss 5.0361 (5.0260)	Prec@1 4.688 (4.560)	Prec@5 15.234 (15.728)
Epoch: [11][5340/7045]	Time 0.109 (0.252)	Data 0.004 (0.188)	Loss 5.0254 (5.0261)	Prec@1 4.688 (4.559)	Prec@5 15.625 (15.727)
Epoch: [11][5350/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 4.8947 (5.0260)	Prec@1 3.906 (4.560)	Prec@5 14.453 (15.728)
Epoch: [11][5360/7045]	Time 0.103 (0.252)	Data 0.044 (0.188)	Loss 4.9831 (5.0259)	Prec@1 6.641 (4.561)	Prec@5 17.578 (15.730)
Epoch: [11][5370/7045]	Time 0.402 (0.252)	Data 0.351 (0.188)	Loss 4.9589 (5.0257)	Prec@1 3.906 (4.561)	Prec@5 17.578 (15.734)
Epoch: [11][5380/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 5.2176 (5.0258)	Prec@1 3.516 (4.562)	Prec@5 10.547 (15.733)
Epoch: [11][5390/7045]	Time 0.224 (0.252)	Data 0.173 (0.188)	Loss 5.0692 (5.0257)	Prec@1 4.688 (4.563)	Prec@5 17.969 (15.735)
Epoch: [11][5400/7045]	Time 0.254 (0.252)	Data 0.203 (0.188)	Loss 4.9187 (5.0257)	Prec@1 4.297 (4.564)	Prec@5 17.188 (15.738)
Epoch: [11][5410/7045]	Time 0.101 (0.252)	Data 0.007 (0.188)	Loss 4.9272 (5.0255)	Prec@1 4.688 (4.566)	Prec@5 17.188 (15.742)
Epoch: [11][5420/7045]	Time 0.793 (0.252)	Data 0.742 (0.188)	Loss 4.9453 (5.0255)	Prec@1 4.688 (4.566)	Prec@5 14.453 (15.740)
Epoch: [11][5430/7045]	Time 0.108 (0.252)	Data 0.001 (0.188)	Loss 5.0074 (5.0255)	Prec@1 3.906 (4.566)	Prec@5 17.188 (15.742)
Epoch: [11][5440/7045]	Time 0.504 (0.252)	Data 0.452 (0.188)	Loss 5.0723 (5.0254)	Prec@1 3.906 (4.565)	Prec@5 15.234 (15.741)
Epoch: [11][5450/7045]	Time 0.387 (0.252)	Data 0.329 (0.188)	Loss 5.2258 (5.0256)	Prec@1 1.172 (4.563)	Prec@5 9.375 (15.739)
Epoch: [11][5460/7045]	Time 0.101 (0.252)	Data 0.001 (0.188)	Loss 5.0853 (5.0258)	Prec@1 3.906 (4.562)	Prec@5 14.062 (15.736)
Epoch: [11][5470/7045]	Time 0.584 (0.252)	Data 0.529 (0.188)	Loss 5.0954 (5.0258)	Prec@1 2.344 (4.560)	Prec@5 14.062 (15.733)
Epoch: [11][5480/7045]	Time 0.101 (0.252)	Data 0.001 (0.188)	Loss 5.0521 (5.0258)	Prec@1 4.688 (4.560)	Prec@5 17.578 (15.735)
Epoch: [11][5490/7045]	Time 0.149 (0.252)	Data 0.098 (0.188)	Loss 4.9823 (5.0257)	Prec@1 5.859 (4.560)	Prec@5 17.969 (15.737)
Epoch: [11][5500/7045]	Time 0.296 (0.252)	Data 0.245 (0.188)	Loss 4.8926 (5.0255)	Prec@1 5.469 (4.561)	Prec@5 16.016 (15.739)
Epoch: [11][5510/7045]	Time 0.240 (0.252)	Data 0.188 (0.188)	Loss 4.9675 (5.0255)	Prec@1 5.859 (4.561)	Prec@5 21.875 (15.739)
Epoch: [11][5520/7045]	Time 0.250 (0.252)	Data 0.199 (0.188)	Loss 4.8673 (5.0255)	Prec@1 4.297 (4.562)	Prec@5 21.484 (15.741)
Epoch: [11][5530/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 4.9915 (5.0254)	Prec@1 5.469 (4.562)	Prec@5 17.969 (15.743)
Epoch: [11][5540/7045]	Time 0.582 (0.252)	Data 0.531 (0.188)	Loss 4.9976 (5.0253)	Prec@1 5.859 (4.562)	Prec@5 17.969 (15.744)
Epoch: [11][5550/7045]	Time 0.271 (0.252)	Data 0.220 (0.188)	Loss 4.9750 (5.0252)	Prec@1 3.906 (4.561)	Prec@5 16.016 (15.745)
Epoch: [11][5560/7045]	Time 0.290 (0.252)	Data 0.238 (0.188)	Loss 4.9149 (5.0253)	Prec@1 6.250 (4.561)	Prec@5 17.188 (15.744)
Epoch: [11][5570/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 5.0779 (5.0253)	Prec@1 5.078 (4.560)	Prec@5 17.969 (15.740)
Epoch: [11][5580/7045]	Time 0.435 (0.252)	Data 0.384 (0.188)	Loss 5.0598 (5.0254)	Prec@1 7.031 (4.559)	Prec@5 16.016 (15.738)
Epoch: [11][5590/7045]	Time 0.158 (0.252)	Data 0.108 (0.188)	Loss 5.0972 (5.0254)	Prec@1 4.688 (4.560)	Prec@5 16.016 (15.739)
Epoch: [11][5600/7045]	Time 0.269 (0.252)	Data 0.219 (0.188)	Loss 5.1601 (5.0254)	Prec@1 3.516 (4.560)	Prec@5 15.234 (15.738)
Epoch: [11][5610/7045]	Time 0.116 (0.252)	Data 0.059 (0.188)	Loss 5.0373 (5.0253)	Prec@1 5.078 (4.561)	Prec@5 16.797 (15.739)
Epoch: [11][5620/7045]	Time 0.105 (0.252)	Data 0.052 (0.188)	Loss 4.9396 (5.0252)	Prec@1 5.078 (4.561)	Prec@5 15.625 (15.741)
Epoch: [11][5630/7045]	Time 0.209 (0.252)	Data 0.157 (0.188)	Loss 5.1094 (5.0251)	Prec@1 4.297 (4.562)	Prec@5 14.062 (15.742)
Epoch: [11][5640/7045]	Time 0.101 (0.252)	Data 0.048 (0.188)	Loss 4.8594 (5.0251)	Prec@1 4.688 (4.563)	Prec@5 16.406 (15.743)
Epoch: [11][5650/7045]	Time 0.375 (0.252)	Data 0.324 (0.188)	Loss 4.9441 (5.0250)	Prec@1 2.734 (4.563)	Prec@5 15.234 (15.742)
Epoch: [11][5660/7045]	Time 0.647 (0.252)	Data 0.596 (0.188)	Loss 4.9077 (5.0249)	Prec@1 5.859 (4.564)	Prec@5 19.922 (15.745)
Epoch: [11][5670/7045]	Time 0.214 (0.252)	Data 0.163 (0.188)	Loss 4.9479 (5.0249)	Prec@1 5.078 (4.564)	Prec@5 14.844 (15.745)
Epoch: [11][5680/7045]	Time 0.393 (0.252)	Data 0.343 (0.188)	Loss 4.9520 (5.0248)	Prec@1 5.859 (4.565)	Prec@5 19.531 (15.749)
Epoch: [11][5690/7045]	Time 0.404 (0.252)	Data 0.352 (0.188)	Loss 4.9342 (5.0246)	Prec@1 2.734 (4.566)	Prec@5 16.406 (15.752)
Epoch: [11][5700/7045]	Time 0.188 (0.252)	Data 0.129 (0.188)	Loss 4.8913 (5.0245)	Prec@1 5.469 (4.567)	Prec@5 19.141 (15.753)
Epoch: [11][5710/7045]	Time 0.190 (0.252)	Data 0.139 (0.188)	Loss 4.9101 (5.0245)	Prec@1 3.906 (4.567)	Prec@5 16.406 (15.752)
Epoch: [11][5720/7045]	Time 0.283 (0.252)	Data 0.231 (0.188)	Loss 4.9709 (5.0246)	Prec@1 6.250 (4.567)	Prec@5 17.188 (15.751)
Epoch: [11][5730/7045]	Time 0.399 (0.252)	Data 0.345 (0.188)	Loss 4.9967 (5.0245)	Prec@1 5.859 (4.567)	Prec@5 17.578 (15.753)
Epoch: [11][5740/7045]	Time 0.105 (0.252)	Data 0.006 (0.188)	Loss 4.9770 (5.0244)	Prec@1 6.641 (4.567)	Prec@5 18.750 (15.754)
Epoch: [11][5750/7045]	Time 0.671 (0.252)	Data 0.606 (0.188)	Loss 5.0378 (5.0243)	Prec@1 3.125 (4.567)	Prec@5 14.062 (15.756)
Epoch: [11][5760/7045]	Time 0.100 (0.252)	Data 0.001 (0.188)	Loss 5.0007 (5.0243)	Prec@1 6.250 (4.568)	Prec@5 17.188 (15.756)
Epoch: [11][5770/7045]	Time 0.516 (0.252)	Data 0.465 (0.188)	Loss 5.0436 (5.0242)	Prec@1 4.688 (4.569)	Prec@5 13.281 (15.758)
Epoch: [11][5780/7045]	Time 0.102 (0.252)	Data 0.011 (0.188)	Loss 4.8726 (5.0240)	Prec@1 6.250 (4.569)	Prec@5 21.484 (15.761)
Epoch: [11][5790/7045]	Time 0.339 (0.252)	Data 0.287 (0.188)	Loss 5.0329 (5.0239)	Prec@1 7.422 (4.570)	Prec@5 18.750 (15.763)
Epoch: [11][5800/7045]	Time 0.220 (0.252)	Data 0.169 (0.188)	Loss 5.0675 (5.0239)	Prec@1 4.297 (4.572)	Prec@5 14.453 (15.766)
Epoch: [11][5810/7045]	Time 0.108 (0.252)	Data 0.055 (0.188)	Loss 4.9846 (5.0238)	Prec@1 4.688 (4.573)	Prec@5 15.625 (15.768)
Epoch: [11][5820/7045]	Time 0.219 (0.252)	Data 0.165 (0.188)	Loss 4.8390 (5.0237)	Prec@1 6.250 (4.575)	Prec@5 20.312 (15.770)
Epoch: [11][5830/7045]	Time 0.184 (0.252)	Data 0.134 (0.188)	Loss 5.0472 (5.0237)	Prec@1 6.250 (4.574)	Prec@5 14.844 (15.769)
Epoch: [11][5840/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 5.1132 (5.0238)	Prec@1 3.125 (4.573)	Prec@5 14.062 (15.768)
Epoch: [11][5850/7045]	Time 0.858 (0.252)	Data 0.798 (0.188)	Loss 5.0523 (5.0237)	Prec@1 6.641 (4.574)	Prec@5 15.234 (15.770)
Epoch: [11][5860/7045]	Time 0.107 (0.252)	Data 0.054 (0.188)	Loss 5.1282 (5.0238)	Prec@1 3.125 (4.574)	Prec@5 12.891 (15.771)
Epoch: [11][5870/7045]	Time 0.460 (0.252)	Data 0.408 (0.188)	Loss 5.0061 (5.0238)	Prec@1 6.250 (4.574)	Prec@5 17.969 (15.772)
Epoch: [11][5880/7045]	Time 0.101 (0.252)	Data 0.001 (0.188)	Loss 5.1711 (5.0239)	Prec@1 4.297 (4.571)	Prec@5 12.500 (15.768)
Epoch: [11][5890/7045]	Time 0.098 (0.252)	Data 0.045 (0.188)	Loss 5.2541 (5.0238)	Prec@1 2.734 (4.571)	Prec@5 11.328 (15.768)
Epoch: [11][5900/7045]	Time 0.327 (0.252)	Data 0.270 (0.188)	Loss 4.8315 (5.0238)	Prec@1 5.859 (4.571)	Prec@5 18.359 (15.768)
Epoch: [11][5910/7045]	Time 0.181 (0.252)	Data 0.130 (0.188)	Loss 4.9645 (5.0237)	Prec@1 5.078 (4.572)	Prec@5 16.797 (15.771)
Epoch: [11][5920/7045]	Time 0.313 (0.252)	Data 0.262 (0.188)	Loss 5.1233 (5.0236)	Prec@1 4.297 (4.573)	Prec@5 14.453 (15.772)
Epoch: [11][5930/7045]	Time 0.292 (0.252)	Data 0.240 (0.188)	Loss 5.0200 (5.0236)	Prec@1 8.203 (4.574)	Prec@5 18.359 (15.773)
Epoch: [11][5940/7045]	Time 0.099 (0.252)	Data 0.046 (0.188)	Loss 4.8471 (5.0235)	Prec@1 5.469 (4.574)	Prec@5 18.359 (15.774)
Epoch: [11][5950/7045]	Time 0.228 (0.252)	Data 0.177 (0.188)	Loss 5.0482 (5.0236)	Prec@1 4.297 (4.573)	Prec@5 14.062 (15.773)
Epoch: [11][5960/7045]	Time 0.101 (0.252)	Data 0.009 (0.188)	Loss 4.9324 (5.0235)	Prec@1 6.641 (4.574)	Prec@5 15.625 (15.772)
Epoch: [11][5970/7045]	Time 0.101 (0.252)	Data 0.001 (0.188)	Loss 5.0312 (5.0235)	Prec@1 4.297 (4.574)	Prec@5 14.453 (15.771)
Epoch: [11][5980/7045]	Time 0.387 (0.252)	Data 0.334 (0.188)	Loss 5.0003 (5.0237)	Prec@1 3.516 (4.572)	Prec@5 16.016 (15.768)
Epoch: [11][5990/7045]	Time 0.110 (0.252)	Data 0.001 (0.188)	Loss 5.0787 (5.0236)	Prec@1 4.688 (4.572)	Prec@5 15.625 (15.768)
Epoch: [11][6000/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 4.9272 (5.0237)	Prec@1 3.125 (4.570)	Prec@5 17.188 (15.767)
Epoch: [11][6010/7045]	Time 0.367 (0.252)	Data 0.316 (0.188)	Loss 5.0389 (5.0238)	Prec@1 3.906 (4.570)	Prec@5 15.234 (15.766)
Epoch: [11][6020/7045]	Time 0.224 (0.252)	Data 0.173 (0.188)	Loss 5.0929 (5.0238)	Prec@1 5.078 (4.569)	Prec@5 19.141 (15.767)
Epoch: [11][6030/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 5.2227 (5.0238)	Prec@1 3.125 (4.569)	Prec@5 14.062 (15.766)
Epoch: [11][6040/7045]	Time 0.457 (0.252)	Data 0.405 (0.188)	Loss 4.9676 (5.0238)	Prec@1 4.688 (4.567)	Prec@5 16.406 (15.767)
Epoch: [11][6050/7045]	Time 0.297 (0.252)	Data 0.242 (0.188)	Loss 5.0711 (5.0237)	Prec@1 3.516 (4.568)	Prec@5 14.453 (15.770)
Epoch: [11][6060/7045]	Time 0.351 (0.252)	Data 0.301 (0.188)	Loss 5.1999 (5.0237)	Prec@1 4.297 (4.568)	Prec@5 14.844 (15.772)
Epoch: [11][6070/7045]	Time 0.119 (0.252)	Data 0.062 (0.188)	Loss 5.0332 (5.0237)	Prec@1 4.688 (4.569)	Prec@5 14.453 (15.773)
Epoch: [11][6080/7045]	Time 0.249 (0.252)	Data 0.198 (0.188)	Loss 5.0729 (5.0238)	Prec@1 4.297 (4.569)	Prec@5 13.281 (15.773)
Epoch: [11][6090/7045]	Time 0.631 (0.252)	Data 0.577 (0.189)	Loss 5.1333 (5.0237)	Prec@1 6.250 (4.570)	Prec@5 14.062 (15.773)
Epoch: [11][6100/7045]	Time 0.104 (0.252)	Data 0.052 (0.189)	Loss 5.0573 (5.0237)	Prec@1 5.469 (4.570)	Prec@5 14.062 (15.774)
Epoch: [11][6110/7045]	Time 0.654 (0.252)	Data 0.602 (0.189)	Loss 4.9742 (5.0237)	Prec@1 6.641 (4.569)	Prec@5 14.844 (15.772)
Epoch: [11][6120/7045]	Time 0.110 (0.252)	Data 0.057 (0.188)	Loss 5.1475 (5.0237)	Prec@1 2.344 (4.569)	Prec@5 11.719 (15.774)
Epoch: [11][6130/7045]	Time 0.469 (0.252)	Data 0.417 (0.188)	Loss 5.1000 (5.0238)	Prec@1 3.906 (4.568)	Prec@5 15.625 (15.771)
Epoch: [11][6140/7045]	Time 0.389 (0.252)	Data 0.338 (0.189)	Loss 5.0988 (5.0238)	Prec@1 2.344 (4.568)	Prec@5 14.062 (15.772)
Epoch: [11][6150/7045]	Time 0.281 (0.252)	Data 0.230 (0.189)	Loss 5.1285 (5.0239)	Prec@1 3.906 (4.567)	Prec@5 13.672 (15.769)
Epoch: [11][6160/7045]	Time 0.118 (0.252)	Data 0.066 (0.189)	Loss 4.9535 (5.0239)	Prec@1 3.516 (4.566)	Prec@5 12.891 (15.768)
Epoch: [11][6170/7045]	Time 0.352 (0.252)	Data 0.302 (0.189)	Loss 5.0848 (5.0239)	Prec@1 5.859 (4.567)	Prec@5 18.750 (15.768)
Epoch: [11][6180/7045]	Time 0.308 (0.252)	Data 0.249 (0.189)	Loss 5.0106 (5.0239)	Prec@1 3.906 (4.567)	Prec@5 16.797 (15.767)
Epoch: [11][6190/7045]	Time 0.533 (0.252)	Data 0.482 (0.189)	Loss 4.9870 (5.0239)	Prec@1 4.688 (4.566)	Prec@5 15.234 (15.768)
Epoch: [11][6200/7045]	Time 0.429 (0.252)	Data 0.378 (0.189)	Loss 4.9841 (5.0238)	Prec@1 5.078 (4.567)	Prec@5 14.453 (15.768)
Epoch: [11][6210/7045]	Time 0.107 (0.252)	Data 0.001 (0.189)	Loss 4.9797 (5.0237)	Prec@1 4.688 (4.567)	Prec@5 14.062 (15.769)
Epoch: [11][6220/7045]	Time 0.785 (0.252)	Data 0.734 (0.189)	Loss 5.1334 (5.0237)	Prec@1 2.344 (4.566)	Prec@5 12.891 (15.770)
Epoch: [11][6230/7045]	Time 0.118 (0.252)	Data 0.059 (0.189)	Loss 4.9140 (5.0238)	Prec@1 6.641 (4.566)	Prec@5 20.312 (15.769)
Epoch: [11][6240/7045]	Time 0.839 (0.252)	Data 0.788 (0.189)	Loss 4.9888 (5.0238)	Prec@1 6.641 (4.565)	Prec@5 17.188 (15.770)
Epoch: [11][6250/7045]	Time 0.107 (0.252)	Data 0.049 (0.189)	Loss 5.0307 (5.0238)	Prec@1 5.469 (4.566)	Prec@5 16.797 (15.769)
Epoch: [11][6260/7045]	Time 0.168 (0.252)	Data 0.117 (0.189)	Loss 4.9538 (5.0238)	Prec@1 5.469 (4.565)	Prec@5 18.750 (15.769)
Epoch: [11][6270/7045]	Time 0.425 (0.252)	Data 0.373 (0.189)	Loss 5.0259 (5.0238)	Prec@1 3.906 (4.565)	Prec@5 15.625 (15.769)
Epoch: [11][6280/7045]	Time 0.190 (0.252)	Data 0.138 (0.189)	Loss 5.0645 (5.0237)	Prec@1 3.906 (4.566)	Prec@5 16.406 (15.773)
Epoch: [11][6290/7045]	Time 0.253 (0.252)	Data 0.202 (0.189)	Loss 5.0745 (5.0237)	Prec@1 5.078 (4.566)	Prec@5 16.406 (15.773)
Epoch: [11][6300/7045]	Time 0.325 (0.252)	Data 0.274 (0.189)	Loss 4.9850 (5.0238)	Prec@1 5.469 (4.565)	Prec@5 18.750 (15.771)
Epoch: [11][6310/7045]	Time 0.102 (0.252)	Data 0.046 (0.189)	Loss 5.0602 (5.0238)	Prec@1 3.516 (4.564)	Prec@5 13.672 (15.770)
Epoch: [11][6320/7045]	Time 0.108 (0.252)	Data 0.005 (0.189)	Loss 4.9967 (5.0238)	Prec@1 4.297 (4.565)	Prec@5 17.188 (15.770)
Epoch: [11][6330/7045]	Time 0.102 (0.252)	Data 0.001 (0.189)	Loss 5.0058 (5.0237)	Prec@1 5.469 (4.565)	Prec@5 13.281 (15.772)
Epoch: [11][6340/7045]	Time 0.101 (0.252)	Data 0.018 (0.189)	Loss 5.0238 (5.0237)	Prec@1 2.344 (4.565)	Prec@5 17.188 (15.772)
Epoch: [11][6350/7045]	Time 0.284 (0.252)	Data 0.233 (0.189)	Loss 4.8222 (5.0237)	Prec@1 5.469 (4.566)	Prec@5 21.875 (15.776)
Epoch: [11][6360/7045]	Time 0.102 (0.252)	Data 0.002 (0.189)	Loss 5.0645 (5.0237)	Prec@1 4.297 (4.566)	Prec@5 15.234 (15.777)
Epoch: [11][6370/7045]	Time 0.455 (0.252)	Data 0.404 (0.189)	Loss 4.9190 (5.0235)	Prec@1 7.422 (4.567)	Prec@5 19.141 (15.779)
Epoch: [11][6380/7045]	Time 0.101 (0.252)	Data 0.001 (0.189)	Loss 4.9376 (5.0235)	Prec@1 5.469 (4.566)	Prec@5 16.797 (15.779)
Epoch: [11][6390/7045]	Time 0.102 (0.252)	Data 0.006 (0.189)	Loss 4.9572 (5.0235)	Prec@1 4.297 (4.566)	Prec@5 18.359 (15.780)
Epoch: [11][6400/7045]	Time 0.551 (0.252)	Data 0.499 (0.189)	Loss 4.9514 (5.0233)	Prec@1 5.859 (4.567)	Prec@5 16.797 (15.782)
Epoch: [11][6410/7045]	Time 0.102 (0.252)	Data 0.001 (0.189)	Loss 5.0730 (5.0233)	Prec@1 3.906 (4.568)	Prec@5 14.062 (15.782)
Epoch: [11][6420/7045]	Time 0.701 (0.252)	Data 0.649 (0.189)	Loss 5.0524 (5.0233)	Prec@1 3.516 (4.569)	Prec@5 12.891 (15.783)
Epoch: [11][6430/7045]	Time 0.138 (0.252)	Data 0.087 (0.188)	Loss 5.0868 (5.0234)	Prec@1 4.297 (4.569)	Prec@5 19.531 (15.781)
Epoch: [11][6440/7045]	Time 0.102 (0.252)	Data 0.014 (0.189)	Loss 5.0068 (5.0234)	Prec@1 4.688 (4.569)	Prec@5 17.969 (15.783)
Epoch: [11][6450/7045]	Time 0.102 (0.252)	Data 0.050 (0.188)	Loss 5.0935 (5.0235)	Prec@1 3.906 (4.568)	Prec@5 14.062 (15.782)
Epoch: [11][6460/7045]	Time 0.103 (0.252)	Data 0.050 (0.189)	Loss 4.9481 (5.0236)	Prec@1 3.516 (4.567)	Prec@5 12.891 (15.780)
Epoch: [11][6470/7045]	Time 0.346 (0.252)	Data 0.295 (0.189)	Loss 4.9786 (5.0236)	Prec@1 5.469 (4.567)	Prec@5 16.406 (15.779)
Epoch: [11][6480/7045]	Time 0.100 (0.252)	Data 0.046 (0.189)	Loss 5.0841 (5.0236)	Prec@1 5.469 (4.567)	Prec@5 15.234 (15.779)
Epoch: [11][6490/7045]	Time 0.312 (0.252)	Data 0.261 (0.189)	Loss 5.0256 (5.0236)	Prec@1 5.469 (4.567)	Prec@5 15.625 (15.778)
Epoch: [11][6500/7045]	Time 0.155 (0.252)	Data 0.096 (0.189)	Loss 5.0624 (5.0236)	Prec@1 3.906 (4.567)	Prec@5 15.234 (15.779)
Epoch: [11][6510/7045]	Time 0.101 (0.252)	Data 0.001 (0.189)	Loss 5.1569 (5.0237)	Prec@1 4.297 (4.568)	Prec@5 12.109 (15.778)
Epoch: [11][6520/7045]	Time 0.101 (0.252)	Data 0.001 (0.189)	Loss 4.9551 (5.0238)	Prec@1 4.688 (4.567)	Prec@5 17.578 (15.775)
Epoch: [11][6530/7045]	Time 0.101 (0.252)	Data 0.050 (0.189)	Loss 4.9681 (5.0239)	Prec@1 5.078 (4.567)	Prec@5 14.844 (15.774)
Epoch: [11][6540/7045]	Time 0.211 (0.252)	Data 0.161 (0.189)	Loss 5.0329 (5.0239)	Prec@1 3.125 (4.567)	Prec@5 14.844 (15.774)
Epoch: [11][6550/7045]	Time 0.252 (0.252)	Data 0.201 (0.189)	Loss 5.0076 (5.0239)	Prec@1 5.469 (4.567)	Prec@5 16.016 (15.774)
Epoch: [11][6560/7045]	Time 0.224 (0.252)	Data 0.172 (0.189)	Loss 4.9924 (5.0239)	Prec@1 4.297 (4.567)	Prec@5 17.578 (15.774)
Epoch: [11][6570/7045]	Time 0.529 (0.252)	Data 0.478 (0.189)	Loss 5.2236 (5.0240)	Prec@1 5.078 (4.567)	Prec@5 11.719 (15.771)
Epoch: [11][6580/7045]	Time 0.218 (0.252)	Data 0.168 (0.189)	Loss 4.9763 (5.0240)	Prec@1 4.297 (4.567)	Prec@5 14.453 (15.771)
Epoch: [11][6590/7045]	Time 0.400 (0.252)	Data 0.349 (0.189)	Loss 5.0378 (5.0241)	Prec@1 5.078 (4.568)	Prec@5 14.844 (15.770)
Epoch: [11][6600/7045]	Time 0.301 (0.252)	Data 0.250 (0.189)	Loss 5.0887 (5.0241)	Prec@1 5.469 (4.570)	Prec@5 17.969 (15.771)
Epoch: [11][6610/7045]	Time 0.108 (0.252)	Data 0.007 (0.189)	Loss 5.1308 (5.0242)	Prec@1 2.344 (4.569)	Prec@5 14.453 (15.771)
Epoch: [11][6620/7045]	Time 0.101 (0.252)	Data 0.046 (0.189)	Loss 5.0729 (5.0243)	Prec@1 5.078 (4.569)	Prec@5 16.406 (15.768)
Epoch: [11][6630/7045]	Time 0.116 (0.252)	Data 0.065 (0.189)	Loss 4.8918 (5.0243)	Prec@1 4.297 (4.569)	Prec@5 20.312 (15.768)
Epoch: [11][6640/7045]	Time 0.382 (0.252)	Data 0.331 (0.189)	Loss 4.9425 (5.0243)	Prec@1 4.688 (4.568)	Prec@5 14.844 (15.767)
Epoch: [11][6650/7045]	Time 0.102 (0.252)	Data 0.001 (0.189)	Loss 5.0246 (5.0242)	Prec@1 3.906 (4.568)	Prec@5 11.328 (15.767)
Epoch: [11][6660/7045]	Time 0.450 (0.252)	Data 0.389 (0.189)	Loss 4.9721 (5.0242)	Prec@1 6.641 (4.569)	Prec@5 14.453 (15.768)
Epoch: [11][6670/7045]	Time 0.103 (0.252)	Data 0.001 (0.189)	Loss 4.9525 (5.0242)	Prec@1 2.734 (4.569)	Prec@5 13.281 (15.768)
Epoch: [11][6680/7045]	Time 0.124 (0.252)	Data 0.067 (0.189)	Loss 5.0981 (5.0244)	Prec@1 3.125 (4.568)	Prec@5 15.234 (15.765)
Epoch: [11][6690/7045]	Time 0.193 (0.252)	Data 0.143 (0.189)	Loss 5.1037 (5.0245)	Prec@1 6.641 (4.569)	Prec@5 16.797 (15.764)
Epoch: [11][6700/7045]	Time 0.439 (0.252)	Data 0.387 (0.189)	Loss 5.0612 (5.0245)	Prec@1 6.641 (4.569)	Prec@5 17.578 (15.765)
Epoch: [11][6710/7045]	Time 0.118 (0.252)	Data 0.067 (0.189)	Loss 5.0489 (5.0245)	Prec@1 2.734 (4.568)	Prec@5 14.844 (15.764)
Epoch: [11][6720/7045]	Time 0.394 (0.252)	Data 0.342 (0.189)	Loss 4.8872 (5.0245)	Prec@1 5.469 (4.567)	Prec@5 18.750 (15.763)
Epoch: [11][6730/7045]	Time 0.260 (0.252)	Data 0.209 (0.189)	Loss 5.0975 (5.0245)	Prec@1 3.906 (4.567)	Prec@5 11.328 (15.761)
Epoch: [11][6740/7045]	Time 0.101 (0.252)	Data 0.049 (0.189)	Loss 4.9274 (5.0243)	Prec@1 4.688 (4.567)	Prec@5 14.844 (15.763)
Epoch: [11][6750/7045]	Time 0.613 (0.252)	Data 0.563 (0.189)	Loss 4.9354 (5.0243)	Prec@1 6.250 (4.566)	Prec@5 18.359 (15.765)
Epoch: [11][6760/7045]	Time 0.101 (0.252)	Data 0.001 (0.189)	Loss 4.8944 (5.0243)	Prec@1 9.375 (4.568)	Prec@5 17.969 (15.766)
Epoch: [11][6770/7045]	Time 0.580 (0.252)	Data 0.528 (0.189)	Loss 4.9238 (5.0242)	Prec@1 7.812 (4.568)	Prec@5 16.797 (15.768)
Epoch: [11][6780/7045]	Time 0.101 (0.252)	Data 0.001 (0.189)	Loss 4.8713 (5.0242)	Prec@1 6.641 (4.568)	Prec@5 18.359 (15.768)
Epoch: [11][6790/7045]	Time 0.486 (0.252)	Data 0.435 (0.189)	Loss 5.0719 (5.0241)	Prec@1 2.344 (4.568)	Prec@5 17.969 (15.769)
Epoch: [11][6800/7045]	Time 0.168 (0.252)	Data 0.117 (0.189)	Loss 5.0626 (5.0241)	Prec@1 3.125 (4.568)	Prec@5 15.625 (15.769)
Epoch: [11][6810/7045]	Time 0.340 (0.252)	Data 0.289 (0.189)	Loss 4.8986 (5.0241)	Prec@1 5.078 (4.569)	Prec@5 19.922 (15.770)
Epoch: [11][6820/7045]	Time 0.200 (0.252)	Data 0.149 (0.189)	Loss 5.0325 (5.0240)	Prec@1 5.469 (4.570)	Prec@5 17.188 (15.772)
Epoch: [11][6830/7045]	Time 0.223 (0.252)	Data 0.173 (0.189)	Loss 5.1669 (5.0239)	Prec@1 3.125 (4.570)	Prec@5 12.109 (15.772)
Epoch: [11][6840/7045]	Time 0.458 (0.252)	Data 0.408 (0.189)	Loss 4.9163 (5.0239)	Prec@1 5.859 (4.570)	Prec@5 17.188 (15.773)
Epoch: [11][6850/7045]	Time 0.105 (0.252)	Data 0.002 (0.189)	Loss 5.0765 (5.0239)	Prec@1 5.469 (4.570)	Prec@5 17.578 (15.773)
Epoch: [11][6860/7045]	Time 0.346 (0.252)	Data 0.294 (0.189)	Loss 5.0586 (5.0240)	Prec@1 3.516 (4.569)	Prec@5 15.234 (15.769)
Epoch: [11][6870/7045]	Time 0.489 (0.252)	Data 0.438 (0.189)	Loss 4.9212 (5.0240)	Prec@1 3.516 (4.568)	Prec@5 17.188 (15.768)
Epoch: [11][6880/7045]	Time 0.102 (0.252)	Data 0.001 (0.189)	Loss 5.0207 (5.0241)	Prec@1 4.297 (4.567)	Prec@5 15.234 (15.764)
Epoch: [11][6890/7045]	Time 0.503 (0.252)	Data 0.451 (0.189)	Loss 5.1149 (5.0242)	Prec@1 3.516 (4.566)	Prec@5 11.719 (15.763)
Epoch: [11][6900/7045]	Time 0.163 (0.252)	Data 0.111 (0.189)	Loss 5.1143 (5.0242)	Prec@1 2.734 (4.565)	Prec@5 10.547 (15.762)
Epoch: [11][6910/7045]	Time 0.513 (0.252)	Data 0.461 (0.189)	Loss 4.9750 (5.0242)	Prec@1 5.859 (4.566)	Prec@5 17.188 (15.761)
Epoch: [11][6920/7045]	Time 0.415 (0.252)	Data 0.364 (0.189)	Loss 5.1906 (5.0242)	Prec@1 4.297 (4.566)	Prec@5 12.891 (15.760)
Epoch: [11][6930/7045]	Time 0.136 (0.252)	Data 0.085 (0.189)	Loss 4.9458 (5.0242)	Prec@1 6.250 (4.566)	Prec@5 19.922 (15.761)
Epoch: [11][6940/7045]	Time 0.617 (0.252)	Data 0.565 (0.189)	Loss 4.9765 (5.0242)	Prec@1 4.297 (4.565)	Prec@5 15.625 (15.760)
Epoch: [11][6950/7045]	Time 0.175 (0.252)	Data 0.123 (0.189)	Loss 5.0605 (5.0243)	Prec@1 2.344 (4.563)	Prec@5 14.062 (15.759)
Epoch: [11][6960/7045]	Time 0.739 (0.252)	Data 0.688 (0.189)	Loss 5.0279 (5.0243)	Prec@1 5.469 (4.563)	Prec@5 17.969 (15.759)
Epoch: [11][6970/7045]	Time 0.155 (0.252)	Data 0.105 (0.189)	Loss 5.1041 (5.0244)	Prec@1 4.297 (4.563)	Prec@5 13.672 (15.757)
Epoch: [11][6980/7045]	Time 0.153 (0.252)	Data 0.101 (0.189)	Loss 5.0366 (5.0243)	Prec@1 1.953 (4.563)	Prec@5 13.672 (15.758)
Epoch: [11][6990/7045]	Time 0.553 (0.252)	Data 0.501 (0.189)	Loss 5.1103 (5.0242)	Prec@1 5.078 (4.564)	Prec@5 13.672 (15.760)
Epoch: [11][7000/7045]	Time 0.100 (0.252)	Data 0.005 (0.189)	Loss 5.0023 (5.0242)	Prec@1 5.078 (4.563)	Prec@5 13.672 (15.760)
Epoch: [11][7010/7045]	Time 0.666 (0.252)	Data 0.613 (0.189)	Loss 5.1250 (5.0242)	Prec@1 2.344 (4.563)	Prec@5 14.453 (15.760)
Epoch: [11][7020/7045]	Time 0.186 (0.252)	Data 0.134 (0.189)	Loss 5.0238 (5.0242)	Prec@1 6.250 (4.563)	Prec@5 15.625 (15.759)
Epoch: [11][7030/7045]	Time 0.631 (0.252)	Data 0.574 (0.189)	Loss 5.1040 (5.0243)	Prec@1 5.469 (4.562)	Prec@5 16.797 (15.759)
Epoch: [11][7040/7045]	Time 0.199 (0.252)	Data 0.149 (0.189)	Loss 4.9104 (5.0242)	Prec@1 4.688 (4.563)	Prec@5 15.625 (15.759)
Test: [0/143]	Time 1.194 (1.194)	Loss 4.9721 (4.9721)	Prec@1 4.688 (4.688)	Prec@5 13.281 (13.281)
Test: [10/143]	Time 0.076 (0.242)	Loss 5.0223 (4.8879)	Prec@1 2.344 (4.155)	Prec@5 12.891 (17.578)
Test: [20/143]	Time 0.248 (0.220)	Loss 4.8872 (4.8025)	Prec@1 1.953 (5.487)	Prec@5 16.797 (20.964)
Test: [30/143]	Time 0.111 (0.203)	Loss 4.9638 (4.8163)	Prec@1 4.297 (6.111)	Prec@5 19.531 (20.728)
Test: [40/143]	Time 0.162 (0.205)	Loss 5.1646 (4.8156)	Prec@1 0.000 (6.593)	Prec@5 2.344 (20.760)
Test: [50/143]	Time 0.048 (0.194)	Loss 4.8790 (4.8339)	Prec@1 1.172 (6.097)	Prec@5 20.703 (20.167)
Test: [60/143]	Time 0.064 (0.191)	Loss 5.1503 (4.8481)	Prec@1 3.906 (5.680)	Prec@5 7.812 (19.237)
Test: [70/143]	Time 0.220 (0.191)	Loss 5.0319 (4.8509)	Prec@1 1.562 (5.573)	Prec@5 10.547 (19.069)
Test: [80/143]	Time 0.049 (0.188)	Loss 4.8657 (4.8468)	Prec@1 5.469 (5.623)	Prec@5 19.141 (19.223)
Test: [90/143]	Time 0.384 (0.189)	Loss 4.7203 (4.8549)	Prec@1 10.156 (5.567)	Prec@5 25.000 (18.952)
Test: [100/143]	Time 0.052 (0.186)	Loss 4.4034 (4.8548)	Prec@1 10.938 (5.531)	Prec@5 37.891 (18.963)
Test: [110/143]	Time 0.455 (0.186)	Loss 4.7402 (4.8559)	Prec@1 11.328 (5.641)	Prec@5 22.266 (19.024)
Test: [120/143]	Time 0.048 (0.185)	Loss 4.6971 (4.8414)	Prec@1 7.812 (6.147)	Prec@5 25.781 (19.609)
Test: [130/143]	Time 0.418 (0.184)	Loss 4.5095 (4.8400)	Prec@1 19.141 (6.143)	Prec@5 28.125 (19.513)
Test: [140/143]	Time 0.047 (0.182)	Loss 5.1101 (4.8475)	Prec@1 0.000 (6.067)	Prec@5 5.859 (19.202)
 * Prec@1 6.088 Prec@5 19.216
Epoch: [12][0/7045]	Time 2.402 (2.402)	Data 2.344 (2.344)	Loss 4.9876 (4.9876)	Prec@1 4.297 (4.297)	Prec@5 15.234 (15.234)
Epoch: [12][10/7045]	Time 0.106 (0.415)	Data 0.054 (0.342)	Loss 4.9506 (5.0544)	Prec@1 4.297 (4.119)	Prec@5 18.359 (15.270)
Epoch: [12][20/7045]	Time 0.304 (0.347)	Data 0.254 (0.283)	Loss 4.9645 (5.0334)	Prec@1 6.641 (4.260)	Prec@5 17.578 (15.681)
Epoch: [12][30/7045]	Time 0.412 (0.318)	Data 0.361 (0.258)	Loss 4.9156 (5.0138)	Prec@1 6.641 (4.612)	Prec@5 16.406 (15.839)
Epoch: [12][40/7045]	Time 0.106 (0.297)	Data 0.054 (0.240)	Loss 4.7911 (4.9958)	Prec@1 5.859 (4.878)	Prec@5 16.406 (15.920)
Epoch: [12][50/7045]	Time 0.742 (0.298)	Data 0.691 (0.239)	Loss 4.9314 (5.0006)	Prec@1 6.641 (4.833)	Prec@5 20.312 (15.901)
Epoch: [12][60/7045]	Time 0.107 (0.284)	Data 0.046 (0.223)	Loss 5.0247 (5.0042)	Prec@1 5.469 (4.841)	Prec@5 14.844 (15.683)
Epoch: [12][70/7045]	Time 0.751 (0.285)	Data 0.695 (0.223)	Loss 5.0145 (5.0039)	Prec@1 3.125 (4.770)	Prec@5 20.312 (15.834)
Epoch: [12][80/7045]	Time 0.108 (0.278)	Data 0.057 (0.214)	Loss 4.9030 (5.0003)	Prec@1 5.469 (4.745)	Prec@5 17.188 (15.910)
Epoch: [12][90/7045]	Time 0.673 (0.278)	Data 0.621 (0.212)	Loss 4.9468 (4.9943)	Prec@1 5.078 (4.825)	Prec@5 18.359 (16.101)
Epoch: [12][100/7045]	Time 0.109 (0.272)	Data 0.059 (0.205)	Loss 4.8865 (4.9912)	Prec@1 8.203 (4.881)	Prec@5 19.922 (16.213)
Epoch: [12][110/7045]	Time 0.655 (0.271)	Data 0.604 (0.205)	Loss 4.9199 (4.9874)	Prec@1 4.297 (4.899)	Prec@5 15.625 (16.294)
Epoch: [12][120/7045]	Time 0.102 (0.267)	Data 0.050 (0.199)	Loss 4.9367 (4.9827)	Prec@1 7.031 (4.946)	Prec@5 17.969 (16.384)
Epoch: [12][130/7045]	Time 0.593 (0.267)	Data 0.542 (0.200)	Loss 5.1727 (4.9852)	Prec@1 3.516 (4.905)	Prec@5 14.453 (16.356)
Epoch: [12][140/7045]	Time 0.101 (0.264)	Data 0.006 (0.196)	Loss 4.9555 (4.9904)	Prec@1 6.641 (4.843)	Prec@5 17.188 (16.215)
Epoch: [12][150/7045]	Time 0.575 (0.264)	Data 0.524 (0.197)	Loss 5.1590 (4.9945)	Prec@1 3.125 (4.819)	Prec@5 14.453 (16.241)
Epoch: [12][160/7045]	Time 0.101 (0.261)	Data 0.008 (0.194)	Loss 5.2162 (5.0050)	Prec@1 4.688 (4.748)	Prec@5 14.062 (16.103)
Epoch: [12][170/7045]	Time 0.642 (0.262)	Data 0.583 (0.196)	Loss 5.0025 (5.0106)	Prec@1 5.078 (4.688)	Prec@5 14.453 (16.020)
Epoch: [12][180/7045]	Time 0.101 (0.259)	Data 0.048 (0.193)	Loss 5.2138 (5.0116)	Prec@1 2.734 (4.696)	Prec@5 13.672 (15.998)
Epoch: [12][190/7045]	Time 0.512 (0.260)	Data 0.460 (0.195)	Loss 4.9993 (5.0155)	Prec@1 6.641 (4.708)	Prec@5 17.578 (15.964)
Epoch: [12][200/7045]	Time 0.103 (0.258)	Data 0.052 (0.193)	Loss 4.9486 (5.0153)	Prec@1 8.594 (4.697)	Prec@5 17.578 (15.932)
Epoch: [12][210/7045]	Time 0.303 (0.258)	Data 0.253 (0.194)	Loss 5.0361 (5.0155)	Prec@1 3.906 (4.730)	Prec@5 15.625 (15.953)
Epoch: [12][220/7045]	Time 0.232 (0.257)	Data 0.180 (0.193)	Loss 5.0257 (5.0149)	Prec@1 5.078 (4.753)	Prec@5 17.188 (15.941)
Epoch: [12][230/7045]	Time 0.208 (0.257)	Data 0.152 (0.193)	Loss 4.8256 (5.0114)	Prec@1 7.031 (4.730)	Prec@5 21.094 (16.017)
Epoch: [12][240/7045]	Time 0.428 (0.256)	Data 0.378 (0.193)	Loss 4.8198 (5.0088)	Prec@1 6.641 (4.741)	Prec@5 18.359 (16.058)
Epoch: [12][250/7045]	Time 0.276 (0.256)	Data 0.218 (0.193)	Loss 4.9117 (5.0081)	Prec@1 4.297 (4.717)	Prec@5 13.672 (16.008)
Epoch: [12][260/7045]	Time 0.458 (0.255)	Data 0.404 (0.193)	Loss 5.0162 (5.0089)	Prec@1 4.297 (4.693)	Prec@5 14.844 (15.945)
Epoch: [12][270/7045]	Time 0.140 (0.255)	Data 0.089 (0.192)	Loss 5.0353 (5.0089)	Prec@1 3.516 (4.686)	Prec@5 14.453 (15.929)
Epoch: [12][280/7045]	Time 0.551 (0.255)	Data 0.498 (0.193)	Loss 4.9437 (5.0072)	Prec@1 3.516 (4.700)	Prec@5 18.359 (15.964)
Epoch: [12][290/7045]	Time 0.101 (0.254)	Data 0.044 (0.192)	Loss 5.0714 (5.0064)	Prec@1 5.859 (4.708)	Prec@5 17.578 (15.942)
Epoch: [12][300/7045]	Time 0.618 (0.254)	Data 0.567 (0.192)	Loss 4.8943 (5.0051)	Prec@1 7.031 (4.713)	Prec@5 19.141 (15.988)
Epoch: [12][310/7045]	Time 0.101 (0.253)	Data 0.003 (0.190)	Loss 4.8390 (5.0051)	Prec@1 5.469 (4.735)	Prec@5 16.797 (16.011)
Epoch: [12][320/7045]	Time 0.559 (0.253)	Data 0.508 (0.190)	Loss 5.1310 (5.0061)	Prec@1 5.469 (4.728)	Prec@5 16.016 (15.990)
Epoch: [12][330/7045]	Time 0.101 (0.252)	Data 0.001 (0.189)	Loss 4.8416 (5.0059)	Prec@1 7.031 (4.719)	Prec@5 18.359 (15.987)
Epoch: [12][340/7045]	Time 0.649 (0.253)	Data 0.593 (0.189)	Loss 4.8766 (5.0047)	Prec@1 3.906 (4.724)	Prec@5 14.453 (15.982)
Epoch: [12][350/7045]	Time 0.101 (0.252)	Data 0.001 (0.187)	Loss 4.9051 (5.0021)	Prec@1 4.688 (4.743)	Prec@5 19.531 (16.047)
Epoch: [12][360/7045]	Time 0.681 (0.253)	Data 0.629 (0.187)	Loss 5.0489 (5.0025)	Prec@1 4.297 (4.750)	Prec@5 16.797 (16.049)
Epoch: [12][370/7045]	Time 0.102 (0.251)	Data 0.001 (0.186)	Loss 4.9546 (5.0015)	Prec@1 3.516 (4.741)	Prec@5 16.797 (16.055)
Epoch: [12][380/7045]	Time 0.656 (0.252)	Data 0.605 (0.186)	Loss 5.1170 (5.0012)	Prec@1 2.734 (4.725)	Prec@5 14.062 (16.073)
Epoch: [12][390/7045]	Time 0.120 (0.251)	Data 0.070 (0.184)	Loss 4.9815 (5.0005)	Prec@1 4.688 (4.721)	Prec@5 16.406 (16.087)
Epoch: [12][400/7045]	Time 0.492 (0.251)	Data 0.441 (0.185)	Loss 5.0327 (5.0004)	Prec@1 4.688 (4.731)	Prec@5 19.141 (16.093)
Epoch: [12][410/7045]	Time 0.223 (0.250)	Data 0.172 (0.184)	Loss 4.9637 (4.9995)	Prec@1 5.859 (4.755)	Prec@5 21.484 (16.145)
Epoch: [12][420/7045]	Time 0.182 (0.250)	Data 0.131 (0.184)	Loss 5.0370 (4.9983)	Prec@1 3.125 (4.757)	Prec@5 17.969 (16.147)
Epoch: [12][430/7045]	Time 0.241 (0.250)	Data 0.190 (0.184)	Loss 5.0063 (4.9981)	Prec@1 5.859 (4.773)	Prec@5 17.188 (16.138)
Epoch: [12][440/7045]	Time 0.101 (0.250)	Data 0.001 (0.184)	Loss 4.9676 (4.9989)	Prec@1 3.516 (4.766)	Prec@5 14.062 (16.125)
Epoch: [12][450/7045]	Time 0.345 (0.250)	Data 0.294 (0.184)	Loss 4.9943 (4.9990)	Prec@1 3.906 (4.761)	Prec@5 13.281 (16.114)
Epoch: [12][460/7045]	Time 0.206 (0.250)	Data 0.154 (0.184)	Loss 4.9792 (4.9994)	Prec@1 5.469 (4.770)	Prec@5 17.969 (16.136)
Epoch: [12][470/7045]	Time 0.291 (0.249)	Data 0.240 (0.184)	Loss 4.8584 (4.9988)	Prec@1 6.250 (4.776)	Prec@5 15.625 (16.135)
Epoch: [12][480/7045]	Time 0.163 (0.249)	Data 0.106 (0.184)	Loss 4.9794 (4.9985)	Prec@1 3.516 (4.777)	Prec@5 14.062 (16.163)
Epoch: [12][490/7045]	Time 0.396 (0.249)	Data 0.345 (0.184)	Loss 5.0341 (4.9983)	Prec@1 4.688 (4.776)	Prec@5 15.625 (16.181)
Epoch: [12][500/7045]	Time 0.150 (0.249)	Data 0.098 (0.184)	Loss 4.9768 (4.9983)	Prec@1 4.688 (4.772)	Prec@5 16.406 (16.178)
Epoch: [12][510/7045]	Time 0.408 (0.249)	Data 0.356 (0.184)	Loss 5.0418 (4.9987)	Prec@1 3.516 (4.778)	Prec@5 13.672 (16.158)
Epoch: [12][520/7045]	Time 0.103 (0.248)	Data 0.045 (0.184)	Loss 4.9855 (4.9999)	Prec@1 5.859 (4.780)	Prec@5 16.797 (16.132)
Epoch: [12][530/7045]	Time 0.258 (0.248)	Data 0.207 (0.184)	Loss 4.9584 (4.9996)	Prec@1 5.078 (4.785)	Prec@5 17.969 (16.137)
Epoch: [12][540/7045]	Time 0.128 (0.248)	Data 0.076 (0.184)	Loss 4.9780 (4.9990)	Prec@1 5.078 (4.794)	Prec@5 16.797 (16.154)
Epoch: [12][550/7045]	Time 0.328 (0.248)	Data 0.276 (0.185)	Loss 4.9947 (4.9991)	Prec@1 5.859 (4.780)	Prec@5 16.016 (16.158)
Epoch: [12][560/7045]	Time 0.123 (0.248)	Data 0.072 (0.184)	Loss 4.9339 (4.9987)	Prec@1 3.906 (4.776)	Prec@5 16.406 (16.170)
Epoch: [12][570/7045]	Time 0.323 (0.248)	Data 0.271 (0.185)	Loss 4.9136 (4.9983)	Prec@1 5.469 (4.774)	Prec@5 20.312 (16.179)
Epoch: [12][580/7045]	Time 0.101 (0.248)	Data 0.001 (0.184)	Loss 4.9633 (4.9978)	Prec@1 5.469 (4.778)	Prec@5 16.797 (16.188)
Epoch: [12][590/7045]	Time 0.248 (0.248)	Data 0.190 (0.185)	Loss 5.0151 (4.9974)	Prec@1 5.078 (4.776)	Prec@5 16.797 (16.201)
Epoch: [12][600/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 4.9532 (4.9978)	Prec@1 3.906 (4.765)	Prec@5 16.406 (16.183)
Epoch: [12][610/7045]	Time 0.163 (0.248)	Data 0.105 (0.184)	Loss 4.8894 (4.9974)	Prec@1 5.078 (4.765)	Prec@5 14.844 (16.172)
Epoch: [12][620/7045]	Time 0.102 (0.247)	Data 0.003 (0.183)	Loss 5.1141 (4.9973)	Prec@1 3.906 (4.769)	Prec@5 14.062 (16.165)
Epoch: [12][630/7045]	Time 0.108 (0.248)	Data 0.001 (0.184)	Loss 5.0390 (4.9977)	Prec@1 3.906 (4.765)	Prec@5 13.672 (16.146)
Epoch: [12][640/7045]	Time 0.101 (0.247)	Data 0.005 (0.183)	Loss 5.1722 (4.9970)	Prec@1 4.688 (4.773)	Prec@5 12.891 (16.155)
Epoch: [12][650/7045]	Time 0.108 (0.247)	Data 0.002 (0.183)	Loss 4.9198 (4.9966)	Prec@1 7.031 (4.776)	Prec@5 21.484 (16.166)
Epoch: [12][660/7045]	Time 0.104 (0.247)	Data 0.001 (0.182)	Loss 4.9433 (4.9957)	Prec@1 3.516 (4.774)	Prec@5 14.844 (16.170)
Epoch: [12][670/7045]	Time 0.102 (0.247)	Data 0.050 (0.182)	Loss 4.7858 (4.9958)	Prec@1 3.516 (4.764)	Prec@5 22.266 (16.167)
Epoch: [12][680/7045]	Time 0.101 (0.247)	Data 0.001 (0.181)	Loss 5.1119 (4.9967)	Prec@1 4.688 (4.757)	Prec@5 15.234 (16.157)
Epoch: [12][690/7045]	Time 0.108 (0.247)	Data 0.003 (0.181)	Loss 5.1720 (4.9970)	Prec@1 4.688 (4.762)	Prec@5 11.719 (16.163)
Epoch: [12][700/7045]	Time 0.103 (0.247)	Data 0.001 (0.181)	Loss 4.8876 (4.9982)	Prec@1 5.859 (4.753)	Prec@5 18.750 (16.148)
Epoch: [12][710/7045]	Time 0.102 (0.247)	Data 0.001 (0.181)	Loss 5.1577 (4.9996)	Prec@1 3.516 (4.744)	Prec@5 12.891 (16.140)
Epoch: [12][720/7045]	Time 0.101 (0.246)	Data 0.001 (0.180)	Loss 5.0898 (5.0008)	Prec@1 2.344 (4.736)	Prec@5 10.938 (16.099)
Epoch: [12][730/7045]	Time 0.107 (0.247)	Data 0.044 (0.180)	Loss 5.0806 (5.0010)	Prec@1 3.516 (4.731)	Prec@5 12.500 (16.087)
Epoch: [12][740/7045]	Time 0.101 (0.246)	Data 0.001 (0.179)	Loss 4.9885 (5.0018)	Prec@1 3.516 (4.720)	Prec@5 19.531 (16.065)
Epoch: [12][750/7045]	Time 0.226 (0.247)	Data 0.173 (0.180)	Loss 5.1151 (5.0023)	Prec@1 3.125 (4.710)	Prec@5 15.234 (16.057)
Epoch: [12][760/7045]	Time 0.100 (0.246)	Data 0.001 (0.179)	Loss 5.0213 (5.0021)	Prec@1 4.297 (4.708)	Prec@5 16.797 (16.060)
Epoch: [12][770/7045]	Time 0.246 (0.246)	Data 0.193 (0.179)	Loss 4.8796 (5.0021)	Prec@1 3.516 (4.705)	Prec@5 17.969 (16.062)
Epoch: [12][780/7045]	Time 0.101 (0.246)	Data 0.001 (0.179)	Loss 4.9776 (5.0025)	Prec@1 3.125 (4.697)	Prec@5 13.672 (16.041)
Epoch: [12][790/7045]	Time 0.210 (0.246)	Data 0.159 (0.179)	Loss 4.9152 (5.0028)	Prec@1 4.688 (4.697)	Prec@5 17.969 (16.043)
Epoch: [12][800/7045]	Time 0.103 (0.246)	Data 0.001 (0.178)	Loss 4.9198 (5.0027)	Prec@1 4.297 (4.703)	Prec@5 19.531 (16.049)
Epoch: [12][810/7045]	Time 0.246 (0.246)	Data 0.194 (0.179)	Loss 5.0292 (5.0028)	Prec@1 7.031 (4.702)	Prec@5 16.797 (16.044)
Epoch: [12][820/7045]	Time 0.101 (0.246)	Data 0.001 (0.178)	Loss 4.8811 (5.0027)	Prec@1 4.297 (4.707)	Prec@5 15.625 (16.049)
Epoch: [12][830/7045]	Time 0.167 (0.246)	Data 0.115 (0.178)	Loss 4.9147 (5.0024)	Prec@1 5.469 (4.708)	Prec@5 19.141 (16.064)
Epoch: [12][840/7045]	Time 0.108 (0.246)	Data 0.058 (0.178)	Loss 4.9771 (5.0019)	Prec@1 4.688 (4.709)	Prec@5 16.797 (16.067)
Epoch: [12][850/7045]	Time 0.191 (0.246)	Data 0.135 (0.178)	Loss 5.1324 (5.0022)	Prec@1 4.297 (4.709)	Prec@5 12.109 (16.070)
Epoch: [12][860/7045]	Time 0.101 (0.245)	Data 0.006 (0.178)	Loss 4.9531 (5.0020)	Prec@1 4.688 (4.708)	Prec@5 16.016 (16.076)
Epoch: [12][870/7045]	Time 0.239 (0.246)	Data 0.188 (0.178)	Loss 4.9562 (5.0017)	Prec@1 6.250 (4.711)	Prec@5 17.969 (16.084)
Epoch: [12][880/7045]	Time 0.108 (0.245)	Data 0.057 (0.178)	Loss 5.0006 (5.0011)	Prec@1 4.297 (4.720)	Prec@5 13.672 (16.112)
Epoch: [12][890/7045]	Time 0.186 (0.246)	Data 0.136 (0.178)	Loss 4.9416 (5.0004)	Prec@1 3.125 (4.726)	Prec@5 18.359 (16.127)
Epoch: [12][900/7045]	Time 0.121 (0.245)	Data 0.069 (0.178)	Loss 5.0804 (5.0005)	Prec@1 3.516 (4.726)	Prec@5 15.625 (16.126)
Epoch: [12][910/7045]	Time 0.224 (0.246)	Data 0.163 (0.178)	Loss 5.0252 (5.0013)	Prec@1 6.250 (4.722)	Prec@5 19.141 (16.117)
Epoch: [12][920/7045]	Time 0.132 (0.245)	Data 0.080 (0.178)	Loss 5.2013 (5.0039)	Prec@1 3.516 (4.703)	Prec@5 13.672 (16.069)
Epoch: [12][930/7045]	Time 0.171 (0.245)	Data 0.115 (0.178)	Loss 5.2258 (5.0057)	Prec@1 5.078 (4.698)	Prec@5 12.500 (16.038)
Epoch: [12][940/7045]	Time 0.100 (0.245)	Data 0.048 (0.178)	Loss 5.1306 (5.0063)	Prec@1 4.297 (4.693)	Prec@5 12.500 (16.024)
Epoch: [12][950/7045]	Time 0.205 (0.245)	Data 0.146 (0.178)	Loss 5.1465 (5.0063)	Prec@1 3.906 (4.693)	Prec@5 12.109 (16.027)
Epoch: [12][960/7045]	Time 0.101 (0.245)	Data 0.001 (0.178)	Loss 4.9163 (5.0063)	Prec@1 5.078 (4.701)	Prec@5 15.234 (16.029)
Epoch: [12][970/7045]	Time 0.133 (0.245)	Data 0.082 (0.178)	Loss 4.9144 (5.0059)	Prec@1 6.250 (4.704)	Prec@5 22.266 (16.045)
Epoch: [12][980/7045]	Time 0.101 (0.245)	Data 0.001 (0.178)	Loss 5.0463 (5.0055)	Prec@1 5.078 (4.705)	Prec@5 19.141 (16.054)
Epoch: [12][990/7045]	Time 0.208 (0.245)	Data 0.156 (0.178)	Loss 5.0406 (5.0054)	Prec@1 3.906 (4.709)	Prec@5 19.141 (16.061)
Epoch: [12][1000/7045]	Time 0.102 (0.245)	Data 0.004 (0.178)	Loss 5.0057 (5.0059)	Prec@1 3.516 (4.704)	Prec@5 16.406 (16.052)
Epoch: [12][1010/7045]	Time 0.235 (0.245)	Data 0.184 (0.178)	Loss 5.0230 (5.0061)	Prec@1 3.516 (4.703)	Prec@5 15.234 (16.044)
Epoch: [12][1020/7045]	Time 0.101 (0.245)	Data 0.001 (0.178)	Loss 5.1343 (5.0059)	Prec@1 3.125 (4.702)	Prec@5 12.891 (16.044)
Epoch: [12][1030/7045]	Time 0.237 (0.245)	Data 0.185 (0.178)	Loss 4.9171 (5.0058)	Prec@1 2.344 (4.702)	Prec@5 13.672 (16.047)
Epoch: [12][1040/7045]	Time 0.109 (0.245)	Data 0.057 (0.178)	Loss 4.9408 (5.0051)	Prec@1 3.516 (4.704)	Prec@5 16.016 (16.055)
Epoch: [12][1050/7045]	Time 0.243 (0.245)	Data 0.187 (0.178)	Loss 4.7713 (5.0048)	Prec@1 5.469 (4.705)	Prec@5 21.094 (16.064)
Epoch: [12][1060/7045]	Time 0.102 (0.244)	Data 0.001 (0.177)	Loss 4.8677 (5.0045)	Prec@1 5.078 (4.698)	Prec@5 16.406 (16.066)
Epoch: [12][1070/7045]	Time 0.215 (0.245)	Data 0.164 (0.178)	Loss 4.8892 (5.0042)	Prec@1 5.859 (4.704)	Prec@5 16.406 (16.073)
Epoch: [12][1080/7045]	Time 0.101 (0.244)	Data 0.048 (0.177)	Loss 4.7878 (5.0035)	Prec@1 6.250 (4.708)	Prec@5 18.359 (16.086)
Epoch: [12][1090/7045]	Time 0.146 (0.245)	Data 0.094 (0.178)	Loss 4.9750 (5.0032)	Prec@1 3.125 (4.709)	Prec@5 17.969 (16.099)
Epoch: [12][1100/7045]	Time 0.102 (0.244)	Data 0.001 (0.178)	Loss 4.9353 (5.0028)	Prec@1 7.031 (4.717)	Prec@5 19.141 (16.117)
Epoch: [12][1110/7045]	Time 0.101 (0.245)	Data 0.044 (0.178)	Loss 5.0554 (5.0028)	Prec@1 3.125 (4.716)	Prec@5 12.891 (16.111)
Epoch: [12][1120/7045]	Time 0.099 (0.244)	Data 0.005 (0.177)	Loss 5.0310 (5.0033)	Prec@1 6.250 (4.717)	Prec@5 16.406 (16.100)
Epoch: [12][1130/7045]	Time 0.147 (0.244)	Data 0.094 (0.178)	Loss 5.0681 (5.0034)	Prec@1 2.734 (4.712)	Prec@5 14.453 (16.105)
Epoch: [12][1140/7045]	Time 0.102 (0.244)	Data 0.001 (0.177)	Loss 4.9323 (5.0030)	Prec@1 8.984 (4.717)	Prec@5 18.750 (16.111)
Epoch: [12][1150/7045]	Time 0.228 (0.244)	Data 0.177 (0.178)	Loss 4.8915 (5.0025)	Prec@1 4.297 (4.716)	Prec@5 19.922 (16.116)
Epoch: [12][1160/7045]	Time 0.102 (0.244)	Data 0.001 (0.178)	Loss 4.9172 (5.0023)	Prec@1 5.469 (4.722)	Prec@5 17.969 (16.125)
Epoch: [12][1170/7045]	Time 0.275 (0.244)	Data 0.217 (0.178)	Loss 4.9299 (5.0022)	Prec@1 2.344 (4.723)	Prec@5 14.453 (16.137)
Epoch: [12][1180/7045]	Time 0.102 (0.244)	Data 0.003 (0.178)	Loss 5.0116 (5.0015)	Prec@1 4.297 (4.728)	Prec@5 16.797 (16.148)
Epoch: [12][1190/7045]	Time 0.107 (0.244)	Data 0.001 (0.178)	Loss 4.9014 (5.0013)	Prec@1 6.250 (4.727)	Prec@5 19.141 (16.146)
Epoch: [12][1200/7045]	Time 0.102 (0.244)	Data 0.005 (0.177)	Loss 4.9588 (5.0006)	Prec@1 6.250 (4.738)	Prec@5 18.750 (16.153)
Epoch: [12][1210/7045]	Time 0.194 (0.244)	Data 0.136 (0.178)	Loss 4.9847 (5.0005)	Prec@1 2.734 (4.732)	Prec@5 18.359 (16.157)
Epoch: [12][1220/7045]	Time 0.102 (0.244)	Data 0.001 (0.177)	Loss 5.0575 (5.0010)	Prec@1 5.078 (4.730)	Prec@5 14.062 (16.148)
Epoch: [12][1230/7045]	Time 0.218 (0.244)	Data 0.168 (0.178)	Loss 5.1125 (5.0018)	Prec@1 5.078 (4.730)	Prec@5 13.281 (16.131)
Epoch: [12][1240/7045]	Time 0.182 (0.244)	Data 0.132 (0.177)	Loss 5.2183 (5.0023)	Prec@1 3.516 (4.727)	Prec@5 12.500 (16.120)
Epoch: [12][1250/7045]	Time 0.109 (0.244)	Data 0.057 (0.178)	Loss 5.0626 (5.0025)	Prec@1 4.297 (4.723)	Prec@5 15.234 (16.120)
Epoch: [12][1260/7045]	Time 0.411 (0.244)	Data 0.360 (0.178)	Loss 5.0305 (5.0021)	Prec@1 3.516 (4.723)	Prec@5 14.453 (16.123)
Epoch: [12][1270/7045]	Time 0.113 (0.244)	Data 0.062 (0.178)	Loss 4.9753 (5.0025)	Prec@1 4.297 (4.722)	Prec@5 14.844 (16.116)
Epoch: [12][1280/7045]	Time 0.697 (0.244)	Data 0.646 (0.178)	Loss 4.9844 (5.0026)	Prec@1 5.469 (4.726)	Prec@5 17.969 (16.123)
Epoch: [12][1290/7045]	Time 0.108 (0.244)	Data 0.051 (0.178)	Loss 4.9696 (5.0027)	Prec@1 3.516 (4.724)	Prec@5 17.188 (16.120)
Epoch: [12][1300/7045]	Time 0.462 (0.244)	Data 0.412 (0.178)	Loss 5.0443 (5.0026)	Prec@1 6.641 (4.719)	Prec@5 15.234 (16.116)
Epoch: [12][1310/7045]	Time 0.256 (0.244)	Data 0.205 (0.178)	Loss 5.0188 (5.0025)	Prec@1 3.516 (4.720)	Prec@5 15.234 (16.121)
Epoch: [12][1320/7045]	Time 0.250 (0.244)	Data 0.199 (0.178)	Loss 5.0439 (5.0026)	Prec@1 3.906 (4.720)	Prec@5 11.719 (16.115)
Epoch: [12][1330/7045]	Time 0.275 (0.244)	Data 0.218 (0.178)	Loss 5.0300 (5.0023)	Prec@1 3.516 (4.722)	Prec@5 16.016 (16.120)
Epoch: [12][1340/7045]	Time 0.224 (0.244)	Data 0.172 (0.178)	Loss 5.0249 (5.0022)	Prec@1 4.297 (4.728)	Prec@5 19.141 (16.127)
Epoch: [12][1350/7045]	Time 0.315 (0.244)	Data 0.264 (0.178)	Loss 5.0312 (5.0028)	Prec@1 4.297 (4.722)	Prec@5 15.234 (16.116)
Epoch: [12][1360/7045]	Time 0.103 (0.244)	Data 0.002 (0.178)	Loss 5.0603 (5.0031)	Prec@1 5.469 (4.715)	Prec@5 16.016 (16.111)
Epoch: [12][1370/7045]	Time 0.344 (0.244)	Data 0.292 (0.178)	Loss 4.9751 (5.0027)	Prec@1 5.078 (4.716)	Prec@5 14.844 (16.120)
Epoch: [12][1380/7045]	Time 0.291 (0.244)	Data 0.239 (0.178)	Loss 5.0358 (5.0023)	Prec@1 2.734 (4.716)	Prec@5 13.672 (16.123)
Epoch: [12][1390/7045]	Time 0.136 (0.244)	Data 0.085 (0.178)	Loss 5.0811 (5.0025)	Prec@1 4.297 (4.708)	Prec@5 15.625 (16.118)
Epoch: [12][1400/7045]	Time 0.263 (0.244)	Data 0.212 (0.178)	Loss 4.9652 (5.0028)	Prec@1 4.297 (4.704)	Prec@5 16.797 (16.110)
Epoch: [12][1410/7045]	Time 0.102 (0.244)	Data 0.005 (0.178)	Loss 5.0303 (5.0024)	Prec@1 3.906 (4.708)	Prec@5 13.672 (16.114)
Epoch: [12][1420/7045]	Time 0.346 (0.244)	Data 0.295 (0.179)	Loss 5.0267 (5.0022)	Prec@1 5.078 (4.716)	Prec@5 15.234 (16.124)
Epoch: [12][1430/7045]	Time 0.201 (0.244)	Data 0.150 (0.179)	Loss 5.1290 (5.0024)	Prec@1 4.688 (4.716)	Prec@5 17.578 (16.121)
Epoch: [12][1440/7045]	Time 0.259 (0.244)	Data 0.209 (0.179)	Loss 5.0708 (5.0028)	Prec@1 5.078 (4.717)	Prec@5 14.844 (16.121)
Epoch: [12][1450/7045]	Time 0.379 (0.244)	Data 0.328 (0.179)	Loss 4.9144 (5.0030)	Prec@1 7.422 (4.715)	Prec@5 18.359 (16.114)
Epoch: [12][1460/7045]	Time 0.157 (0.244)	Data 0.106 (0.179)	Loss 4.8715 (5.0030)	Prec@1 6.250 (4.720)	Prec@5 21.875 (16.111)
Epoch: [12][1470/7045]	Time 0.234 (0.244)	Data 0.183 (0.179)	Loss 4.9460 (5.0031)	Prec@1 4.297 (4.717)	Prec@5 18.750 (16.105)
Epoch: [12][1480/7045]	Time 0.102 (0.244)	Data 0.001 (0.179)	Loss 4.9405 (5.0028)	Prec@1 5.859 (4.719)	Prec@5 16.797 (16.110)
Epoch: [12][1490/7045]	Time 0.344 (0.244)	Data 0.294 (0.179)	Loss 4.8244 (5.0023)	Prec@1 7.422 (4.719)	Prec@5 19.922 (16.119)
Epoch: [12][1500/7045]	Time 0.329 (0.244)	Data 0.273 (0.179)	Loss 4.9266 (5.0022)	Prec@1 3.516 (4.716)	Prec@5 16.797 (16.122)
Epoch: [12][1510/7045]	Time 0.252 (0.244)	Data 0.201 (0.179)	Loss 4.9896 (5.0021)	Prec@1 4.297 (4.714)	Prec@5 15.625 (16.118)
Epoch: [12][1520/7045]	Time 0.359 (0.244)	Data 0.309 (0.179)	Loss 4.9927 (5.0026)	Prec@1 3.125 (4.711)	Prec@5 16.406 (16.111)
Epoch: [12][1530/7045]	Time 0.229 (0.244)	Data 0.179 (0.179)	Loss 5.1473 (5.0028)	Prec@1 4.688 (4.709)	Prec@5 12.500 (16.111)
Epoch: [12][1540/7045]	Time 0.360 (0.244)	Data 0.309 (0.179)	Loss 4.8600 (5.0023)	Prec@1 4.297 (4.714)	Prec@5 19.922 (16.120)
Epoch: [12][1550/7045]	Time 0.300 (0.244)	Data 0.247 (0.179)	Loss 4.9913 (5.0020)	Prec@1 5.078 (4.714)	Prec@5 16.406 (16.127)
Epoch: [12][1560/7045]	Time 0.207 (0.244)	Data 0.157 (0.179)	Loss 5.1490 (5.0022)	Prec@1 4.297 (4.712)	Prec@5 15.234 (16.124)
Epoch: [12][1570/7045]	Time 0.379 (0.244)	Data 0.328 (0.179)	Loss 5.0191 (5.0024)	Prec@1 6.641 (4.713)	Prec@5 19.141 (16.125)
Epoch: [12][1580/7045]	Time 0.135 (0.244)	Data 0.083 (0.179)	Loss 5.0021 (5.0026)	Prec@1 5.469 (4.714)	Prec@5 15.625 (16.130)
Epoch: [12][1590/7045]	Time 0.319 (0.244)	Data 0.267 (0.180)	Loss 5.1295 (5.0027)	Prec@1 2.734 (4.716)	Prec@5 14.453 (16.131)
Epoch: [12][1600/7045]	Time 0.178 (0.244)	Data 0.126 (0.180)	Loss 5.2646 (5.0034)	Prec@1 3.906 (4.711)	Prec@5 13.281 (16.116)
Epoch: [12][1610/7045]	Time 0.264 (0.244)	Data 0.213 (0.180)	Loss 5.0177 (5.0035)	Prec@1 3.516 (4.709)	Prec@5 10.547 (16.108)
Epoch: [12][1620/7045]	Time 0.224 (0.244)	Data 0.169 (0.180)	Loss 4.8914 (5.0035)	Prec@1 6.250 (4.710)	Prec@5 16.016 (16.103)
Epoch: [12][1630/7045]	Time 0.350 (0.244)	Data 0.294 (0.180)	Loss 4.8727 (5.0034)	Prec@1 3.906 (4.708)	Prec@5 17.188 (16.101)
Epoch: [12][1640/7045]	Time 0.119 (0.244)	Data 0.068 (0.180)	Loss 4.9537 (5.0032)	Prec@1 4.688 (4.708)	Prec@5 17.188 (16.099)
Epoch: [12][1650/7045]	Time 0.320 (0.244)	Data 0.269 (0.180)	Loss 4.9530 (5.0032)	Prec@1 6.250 (4.708)	Prec@5 19.922 (16.104)
Epoch: [12][1660/7045]	Time 0.101 (0.244)	Data 0.049 (0.180)	Loss 4.9518 (5.0029)	Prec@1 5.469 (4.711)	Prec@5 17.969 (16.114)
Epoch: [12][1670/7045]	Time 0.358 (0.244)	Data 0.306 (0.180)	Loss 5.1626 (5.0031)	Prec@1 5.469 (4.710)	Prec@5 13.672 (16.109)
Epoch: [12][1680/7045]	Time 0.224 (0.244)	Data 0.174 (0.180)	Loss 4.9558 (5.0030)	Prec@1 5.859 (4.712)	Prec@5 17.969 (16.107)
Epoch: [12][1690/7045]	Time 0.465 (0.244)	Data 0.414 (0.180)	Loss 4.9580 (5.0030)	Prec@1 5.469 (4.713)	Prec@5 15.625 (16.107)
Epoch: [12][1700/7045]	Time 0.211 (0.244)	Data 0.160 (0.180)	Loss 4.9478 (5.0032)	Prec@1 5.859 (4.713)	Prec@5 14.062 (16.104)
Epoch: [12][1710/7045]	Time 0.407 (0.244)	Data 0.356 (0.180)	Loss 4.8873 (5.0032)	Prec@1 5.859 (4.716)	Prec@5 19.141 (16.103)
Epoch: [12][1720/7045]	Time 0.123 (0.244)	Data 0.072 (0.180)	Loss 4.9869 (5.0031)	Prec@1 6.250 (4.720)	Prec@5 17.969 (16.107)
Epoch: [12][1730/7045]	Time 0.408 (0.244)	Data 0.350 (0.180)	Loss 4.9277 (5.0032)	Prec@1 5.469 (4.720)	Prec@5 13.281 (16.105)
Epoch: [12][1740/7045]	Time 0.117 (0.244)	Data 0.066 (0.180)	Loss 5.1256 (5.0034)	Prec@1 3.125 (4.717)	Prec@5 14.062 (16.098)
Epoch: [12][1750/7045]	Time 0.554 (0.244)	Data 0.497 (0.180)	Loss 4.9233 (5.0036)	Prec@1 4.297 (4.716)	Prec@5 17.578 (16.097)
Epoch: [12][1760/7045]	Time 0.102 (0.244)	Data 0.001 (0.180)	Loss 5.0889 (5.0038)	Prec@1 5.469 (4.718)	Prec@5 14.453 (16.100)
Epoch: [12][1770/7045]	Time 0.474 (0.244)	Data 0.423 (0.180)	Loss 4.8433 (5.0037)	Prec@1 5.469 (4.715)	Prec@5 17.578 (16.099)
Epoch: [12][1780/7045]	Time 0.102 (0.243)	Data 0.006 (0.180)	Loss 4.9300 (5.0034)	Prec@1 7.031 (4.716)	Prec@5 17.578 (16.102)
Epoch: [12][1790/7045]	Time 0.470 (0.244)	Data 0.420 (0.180)	Loss 5.0140 (5.0035)	Prec@1 3.125 (4.713)	Prec@5 13.281 (16.098)
Epoch: [12][1800/7045]	Time 0.100 (0.243)	Data 0.002 (0.180)	Loss 4.9444 (5.0032)	Prec@1 6.641 (4.719)	Prec@5 19.141 (16.106)
Epoch: [12][1810/7045]	Time 0.468 (0.244)	Data 0.416 (0.180)	Loss 5.0411 (5.0032)	Prec@1 3.125 (4.717)	Prec@5 14.062 (16.102)
Epoch: [12][1820/7045]	Time 0.102 (0.243)	Data 0.002 (0.180)	Loss 5.0607 (5.0033)	Prec@1 1.562 (4.716)	Prec@5 13.281 (16.098)
Epoch: [12][1830/7045]	Time 0.460 (0.244)	Data 0.410 (0.180)	Loss 5.0104 (5.0037)	Prec@1 3.906 (4.712)	Prec@5 15.625 (16.087)
Epoch: [12][1840/7045]	Time 0.101 (0.243)	Data 0.001 (0.180)	Loss 4.9919 (5.0039)	Prec@1 5.859 (4.711)	Prec@5 21.484 (16.089)
Epoch: [12][1850/7045]	Time 0.430 (0.243)	Data 0.379 (0.180)	Loss 4.9555 (5.0039)	Prec@1 3.516 (4.706)	Prec@5 14.844 (16.085)
Epoch: [12][1860/7045]	Time 0.101 (0.243)	Data 0.045 (0.180)	Loss 4.9682 (5.0037)	Prec@1 4.688 (4.705)	Prec@5 17.578 (16.091)
Epoch: [12][1870/7045]	Time 0.323 (0.243)	Data 0.271 (0.180)	Loss 4.9084 (5.0036)	Prec@1 3.125 (4.705)	Prec@5 17.969 (16.093)
Epoch: [12][1880/7045]	Time 0.112 (0.243)	Data 0.059 (0.180)	Loss 4.9812 (5.0041)	Prec@1 5.859 (4.702)	Prec@5 18.750 (16.088)
Epoch: [12][1890/7045]	Time 0.224 (0.243)	Data 0.171 (0.180)	Loss 5.0648 (5.0042)	Prec@1 3.125 (4.699)	Prec@5 17.188 (16.088)
Epoch: [12][1900/7045]	Time 0.098 (0.243)	Data 0.044 (0.180)	Loss 4.9573 (5.0045)	Prec@1 3.125 (4.694)	Prec@5 13.672 (16.081)
Epoch: [12][1910/7045]	Time 0.142 (0.243)	Data 0.088 (0.180)	Loss 4.9102 (5.0042)	Prec@1 5.859 (4.698)	Prec@5 15.625 (16.088)
Epoch: [12][1920/7045]	Time 0.143 (0.243)	Data 0.092 (0.180)	Loss 4.9774 (5.0039)	Prec@1 7.031 (4.701)	Prec@5 16.406 (16.088)
Epoch: [12][1930/7045]	Time 0.103 (0.243)	Data 0.004 (0.180)	Loss 5.0847 (5.0042)	Prec@1 3.906 (4.696)	Prec@5 12.500 (16.080)
Epoch: [12][1940/7045]	Time 0.101 (0.243)	Data 0.044 (0.180)	Loss 4.9580 (5.0047)	Prec@1 1.953 (4.692)	Prec@5 15.234 (16.072)
Epoch: [12][1950/7045]	Time 0.100 (0.243)	Data 0.005 (0.180)	Loss 5.0701 (5.0052)	Prec@1 6.250 (4.691)	Prec@5 18.750 (16.069)
Epoch: [12][1960/7045]	Time 0.100 (0.243)	Data 0.044 (0.180)	Loss 4.9625 (5.0049)	Prec@1 3.516 (4.692)	Prec@5 13.281 (16.074)
Epoch: [12][1970/7045]	Time 0.101 (0.243)	Data 0.004 (0.180)	Loss 4.9542 (5.0049)	Prec@1 5.469 (4.690)	Prec@5 15.625 (16.071)
Epoch: [12][1980/7045]	Time 0.102 (0.243)	Data 0.050 (0.180)	Loss 5.1459 (5.0051)	Prec@1 7.422 (4.687)	Prec@5 16.406 (16.065)
Epoch: [12][1990/7045]	Time 0.101 (0.243)	Data 0.001 (0.180)	Loss 5.0255 (5.0051)	Prec@1 5.469 (4.689)	Prec@5 16.016 (16.067)
Epoch: [12][2000/7045]	Time 0.146 (0.243)	Data 0.095 (0.180)	Loss 5.0259 (5.0053)	Prec@1 4.688 (4.686)	Prec@5 16.797 (16.066)
Epoch: [12][2010/7045]	Time 0.103 (0.243)	Data 0.001 (0.180)	Loss 5.0085 (5.0053)	Prec@1 3.125 (4.684)	Prec@5 15.625 (16.067)
Epoch: [12][2020/7045]	Time 0.325 (0.243)	Data 0.273 (0.180)	Loss 5.0870 (5.0054)	Prec@1 6.250 (4.684)	Prec@5 15.625 (16.064)
Epoch: [12][2030/7045]	Time 0.101 (0.243)	Data 0.044 (0.179)	Loss 4.9992 (5.0053)	Prec@1 5.078 (4.685)	Prec@5 16.797 (16.064)
Epoch: [12][2040/7045]	Time 0.390 (0.243)	Data 0.334 (0.180)	Loss 5.1908 (5.0052)	Prec@1 3.906 (4.687)	Prec@5 13.281 (16.065)
Epoch: [12][2050/7045]	Time 0.347 (0.243)	Data 0.295 (0.180)	Loss 5.0387 (5.0054)	Prec@1 6.250 (4.688)	Prec@5 15.234 (16.066)
Epoch: [12][2060/7045]	Time 0.389 (0.243)	Data 0.337 (0.180)	Loss 5.0809 (5.0056)	Prec@1 4.297 (4.689)	Prec@5 15.234 (16.065)
Epoch: [12][2070/7045]	Time 0.331 (0.243)	Data 0.273 (0.180)	Loss 4.9253 (5.0056)	Prec@1 7.422 (4.690)	Prec@5 19.922 (16.068)
Epoch: [12][2080/7045]	Time 0.313 (0.243)	Data 0.262 (0.180)	Loss 4.8428 (5.0055)	Prec@1 8.203 (4.693)	Prec@5 21.094 (16.073)
Epoch: [12][2090/7045]	Time 0.342 (0.243)	Data 0.291 (0.180)	Loss 4.9895 (5.0051)	Prec@1 6.250 (4.697)	Prec@5 15.234 (16.079)
Epoch: [12][2100/7045]	Time 0.190 (0.243)	Data 0.139 (0.180)	Loss 5.0258 (5.0049)	Prec@1 3.906 (4.696)	Prec@5 15.234 (16.081)
Epoch: [12][2110/7045]	Time 0.118 (0.243)	Data 0.067 (0.180)	Loss 4.8561 (5.0047)	Prec@1 5.859 (4.697)	Prec@5 18.750 (16.082)
Epoch: [12][2120/7045]	Time 0.108 (0.243)	Data 0.056 (0.180)	Loss 4.8800 (5.0047)	Prec@1 3.516 (4.697)	Prec@5 16.016 (16.077)
Epoch: [12][2130/7045]	Time 0.144 (0.243)	Data 0.094 (0.180)	Loss 5.0385 (5.0048)	Prec@1 2.734 (4.699)	Prec@5 14.062 (16.079)
Epoch: [12][2140/7045]	Time 0.398 (0.243)	Data 0.346 (0.180)	Loss 4.9790 (5.0047)	Prec@1 5.469 (4.702)	Prec@5 17.188 (16.086)
Epoch: [12][2150/7045]	Time 0.107 (0.243)	Data 0.056 (0.180)	Loss 4.9381 (5.0047)	Prec@1 5.078 (4.700)	Prec@5 19.922 (16.086)
Epoch: [12][2160/7045]	Time 0.405 (0.243)	Data 0.353 (0.180)	Loss 5.0136 (5.0048)	Prec@1 3.516 (4.699)	Prec@5 13.281 (16.084)
Epoch: [12][2170/7045]	Time 0.107 (0.243)	Data 0.002 (0.180)	Loss 5.0236 (5.0048)	Prec@1 4.688 (4.699)	Prec@5 16.797 (16.084)
Epoch: [12][2180/7045]	Time 0.366 (0.243)	Data 0.315 (0.180)	Loss 5.1014 (5.0048)	Prec@1 5.469 (4.699)	Prec@5 14.844 (16.084)
Epoch: [12][2190/7045]	Time 0.192 (0.243)	Data 0.140 (0.180)	Loss 4.8231 (5.0048)	Prec@1 5.859 (4.698)	Prec@5 19.141 (16.083)
Epoch: [12][2200/7045]	Time 0.473 (0.243)	Data 0.422 (0.180)	Loss 4.8677 (5.0044)	Prec@1 7.031 (4.700)	Prec@5 20.312 (16.091)
Epoch: [12][2210/7045]	Time 0.225 (0.243)	Data 0.173 (0.180)	Loss 4.9292 (5.0042)	Prec@1 5.078 (4.701)	Prec@5 16.406 (16.092)
Epoch: [12][2220/7045]	Time 0.266 (0.243)	Data 0.214 (0.180)	Loss 5.0325 (5.0040)	Prec@1 6.250 (4.702)	Prec@5 16.016 (16.097)
Epoch: [12][2230/7045]	Time 0.119 (0.243)	Data 0.067 (0.180)	Loss 4.9856 (5.0040)	Prec@1 3.906 (4.701)	Prec@5 16.016 (16.093)
Epoch: [12][2240/7045]	Time 0.101 (0.243)	Data 0.006 (0.180)	Loss 4.9336 (5.0037)	Prec@1 5.469 (4.703)	Prec@5 19.922 (16.096)
Epoch: [12][2250/7045]	Time 0.102 (0.243)	Data 0.003 (0.180)	Loss 5.0837 (5.0039)	Prec@1 3.125 (4.703)	Prec@5 13.281 (16.096)
Epoch: [12][2260/7045]	Time 0.160 (0.243)	Data 0.108 (0.180)	Loss 5.1932 (5.0040)	Prec@1 2.344 (4.704)	Prec@5 12.500 (16.093)
Epoch: [12][2270/7045]	Time 0.101 (0.243)	Data 0.001 (0.180)	Loss 4.9265 (5.0039)	Prec@1 6.250 (4.704)	Prec@5 19.922 (16.095)
Epoch: [12][2280/7045]	Time 0.130 (0.243)	Data 0.079 (0.180)	Loss 4.9484 (5.0037)	Prec@1 5.078 (4.707)	Prec@5 19.922 (16.098)
Epoch: [12][2290/7045]	Time 0.101 (0.243)	Data 0.001 (0.180)	Loss 5.0627 (5.0038)	Prec@1 6.250 (4.704)	Prec@5 18.359 (16.099)
Epoch: [12][2300/7045]	Time 0.250 (0.243)	Data 0.199 (0.180)	Loss 5.0582 (5.0037)	Prec@1 2.734 (4.705)	Prec@5 14.453 (16.098)
Epoch: [12][2310/7045]	Time 0.101 (0.243)	Data 0.001 (0.180)	Loss 5.0617 (5.0035)	Prec@1 3.516 (4.707)	Prec@5 15.234 (16.103)
Epoch: [12][2320/7045]	Time 0.390 (0.243)	Data 0.339 (0.180)	Loss 5.0242 (5.0032)	Prec@1 3.516 (4.708)	Prec@5 14.844 (16.111)
Epoch: [12][2330/7045]	Time 0.101 (0.243)	Data 0.001 (0.180)	Loss 4.9993 (5.0031)	Prec@1 6.250 (4.710)	Prec@5 16.406 (16.111)
Epoch: [12][2340/7045]	Time 0.344 (0.243)	Data 0.286 (0.180)	Loss 5.0086 (5.0030)	Prec@1 6.250 (4.710)	Prec@5 14.453 (16.114)
Epoch: [12][2350/7045]	Time 0.113 (0.243)	Data 0.062 (0.180)	Loss 5.0545 (5.0032)	Prec@1 4.688 (4.712)	Prec@5 14.062 (16.113)
Epoch: [12][2360/7045]	Time 0.193 (0.243)	Data 0.142 (0.180)	Loss 5.0976 (5.0033)	Prec@1 2.734 (4.710)	Prec@5 16.406 (16.113)
Epoch: [12][2370/7045]	Time 0.107 (0.243)	Data 0.054 (0.180)	Loss 5.0276 (5.0034)	Prec@1 4.297 (4.711)	Prec@5 15.234 (16.114)
Epoch: [12][2380/7045]	Time 0.233 (0.243)	Data 0.175 (0.180)	Loss 5.0624 (5.0032)	Prec@1 4.688 (4.712)	Prec@5 15.625 (16.116)
Epoch: [12][2390/7045]	Time 0.101 (0.243)	Data 0.006 (0.180)	Loss 5.0845 (5.0032)	Prec@1 3.906 (4.709)	Prec@5 13.281 (16.117)
Epoch: [12][2400/7045]	Time 0.293 (0.243)	Data 0.244 (0.180)	Loss 4.8437 (5.0029)	Prec@1 3.516 (4.713)	Prec@5 18.359 (16.125)
Epoch: [12][2410/7045]	Time 0.102 (0.243)	Data 0.049 (0.180)	Loss 4.8271 (5.0029)	Prec@1 7.031 (4.712)	Prec@5 21.484 (16.124)
Epoch: [12][2420/7045]	Time 0.388 (0.243)	Data 0.330 (0.180)	Loss 5.0114 (5.0027)	Prec@1 7.031 (4.711)	Prec@5 17.188 (16.126)
Epoch: [12][2430/7045]	Time 0.101 (0.243)	Data 0.001 (0.180)	Loss 4.9375 (5.0023)	Prec@1 5.469 (4.713)	Prec@5 18.359 (16.135)
Epoch: [12][2440/7045]	Time 0.265 (0.243)	Data 0.214 (0.180)	Loss 5.0571 (5.0025)	Prec@1 4.297 (4.713)	Prec@5 15.234 (16.129)
Epoch: [12][2450/7045]	Time 0.102 (0.243)	Data 0.001 (0.180)	Loss 4.9741 (5.0023)	Prec@1 5.859 (4.713)	Prec@5 21.484 (16.131)
Epoch: [12][2460/7045]	Time 0.407 (0.243)	Data 0.352 (0.180)	Loss 4.9145 (5.0023)	Prec@1 3.125 (4.711)	Prec@5 16.016 (16.126)
Epoch: [12][2470/7045]	Time 0.102 (0.243)	Data 0.048 (0.179)	Loss 5.1325 (5.0024)	Prec@1 4.688 (4.708)	Prec@5 12.891 (16.120)
Epoch: [12][2480/7045]	Time 0.335 (0.243)	Data 0.279 (0.180)	Loss 5.2345 (5.0026)	Prec@1 3.516 (4.708)	Prec@5 8.984 (16.117)
Epoch: [12][2490/7045]	Time 0.153 (0.243)	Data 0.102 (0.179)	Loss 5.0252 (5.0029)	Prec@1 3.516 (4.705)	Prec@5 15.234 (16.111)
Epoch: [12][2500/7045]	Time 0.308 (0.243)	Data 0.255 (0.180)	Loss 5.0463 (5.0032)	Prec@1 2.344 (4.699)	Prec@5 16.016 (16.105)
Epoch: [12][2510/7045]	Time 0.102 (0.243)	Data 0.049 (0.179)	Loss 5.0042 (5.0037)	Prec@1 5.859 (4.697)	Prec@5 18.359 (16.097)
Epoch: [12][2520/7045]	Time 0.249 (0.243)	Data 0.197 (0.180)	Loss 5.0773 (5.0039)	Prec@1 4.297 (4.695)	Prec@5 15.625 (16.095)
Epoch: [12][2530/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 5.1142 (5.0042)	Prec@1 4.297 (4.694)	Prec@5 12.891 (16.086)
Epoch: [12][2540/7045]	Time 0.292 (0.243)	Data 0.235 (0.179)	Loss 5.0433 (5.0047)	Prec@1 3.125 (4.689)	Prec@5 14.844 (16.072)
Epoch: [12][2550/7045]	Time 0.101 (0.243)	Data 0.001 (0.179)	Loss 4.9665 (5.0048)	Prec@1 4.297 (4.688)	Prec@5 18.359 (16.071)
Epoch: [12][2560/7045]	Time 0.267 (0.243)	Data 0.216 (0.179)	Loss 5.0772 (5.0049)	Prec@1 3.516 (4.686)	Prec@5 14.844 (16.069)
Epoch: [12][2570/7045]	Time 0.101 (0.243)	Data 0.048 (0.179)	Loss 4.9870 (5.0051)	Prec@1 7.422 (4.684)	Prec@5 17.578 (16.063)
Epoch: [12][2580/7045]	Time 0.319 (0.243)	Data 0.260 (0.179)	Loss 4.9205 (5.0050)	Prec@1 4.297 (4.685)	Prec@5 16.406 (16.067)
Epoch: [12][2590/7045]	Time 0.101 (0.243)	Data 0.004 (0.179)	Loss 5.0629 (5.0051)	Prec@1 5.859 (4.685)	Prec@5 19.531 (16.068)
Epoch: [12][2600/7045]	Time 0.306 (0.243)	Data 0.255 (0.179)	Loss 5.1003 (5.0050)	Prec@1 3.906 (4.686)	Prec@5 12.109 (16.069)
Epoch: [12][2610/7045]	Time 0.102 (0.243)	Data 0.050 (0.179)	Loss 5.0228 (5.0051)	Prec@1 2.734 (4.686)	Prec@5 13.672 (16.068)
Epoch: [12][2620/7045]	Time 0.297 (0.243)	Data 0.242 (0.179)	Loss 4.8964 (5.0050)	Prec@1 7.031 (4.687)	Prec@5 17.188 (16.067)
Epoch: [12][2630/7045]	Time 0.139 (0.243)	Data 0.088 (0.179)	Loss 5.0464 (5.0051)	Prec@1 5.078 (4.685)	Prec@5 15.234 (16.062)
Epoch: [12][2640/7045]	Time 0.286 (0.243)	Data 0.235 (0.179)	Loss 5.0805 (5.0053)	Prec@1 4.297 (4.684)	Prec@5 14.844 (16.060)
Epoch: [12][2650/7045]	Time 0.101 (0.243)	Data 0.043 (0.179)	Loss 5.1125 (5.0056)	Prec@1 1.562 (4.681)	Prec@5 9.766 (16.053)
Epoch: [12][2660/7045]	Time 0.349 (0.243)	Data 0.298 (0.179)	Loss 4.8434 (5.0056)	Prec@1 4.297 (4.680)	Prec@5 17.578 (16.051)
Epoch: [12][2670/7045]	Time 0.212 (0.243)	Data 0.161 (0.179)	Loss 5.0355 (5.0056)	Prec@1 1.562 (4.679)	Prec@5 14.062 (16.049)
Epoch: [12][2680/7045]	Time 0.290 (0.243)	Data 0.239 (0.179)	Loss 4.8954 (5.0055)	Prec@1 5.859 (4.680)	Prec@5 18.359 (16.049)
Epoch: [12][2690/7045]	Time 0.251 (0.243)	Data 0.200 (0.179)	Loss 4.9152 (5.0053)	Prec@1 4.297 (4.679)	Prec@5 16.797 (16.053)
Epoch: [12][2700/7045]	Time 0.390 (0.243)	Data 0.339 (0.179)	Loss 4.9529 (5.0053)	Prec@1 4.688 (4.680)	Prec@5 14.844 (16.052)
Epoch: [12][2710/7045]	Time 0.256 (0.243)	Data 0.205 (0.179)	Loss 4.9374 (5.0051)	Prec@1 3.125 (4.678)	Prec@5 11.719 (16.052)
Epoch: [12][2720/7045]	Time 0.411 (0.243)	Data 0.359 (0.179)	Loss 4.9129 (5.0051)	Prec@1 4.688 (4.678)	Prec@5 19.141 (16.053)
Epoch: [12][2730/7045]	Time 0.299 (0.243)	Data 0.248 (0.179)	Loss 4.9119 (5.0049)	Prec@1 3.125 (4.676)	Prec@5 15.625 (16.055)
Epoch: [12][2740/7045]	Time 0.379 (0.243)	Data 0.321 (0.179)	Loss 4.9722 (5.0048)	Prec@1 5.859 (4.678)	Prec@5 19.922 (16.059)
Epoch: [12][2750/7045]	Time 0.245 (0.243)	Data 0.193 (0.179)	Loss 4.9728 (5.0050)	Prec@1 4.297 (4.676)	Prec@5 14.062 (16.052)
Epoch: [12][2760/7045]	Time 0.370 (0.243)	Data 0.312 (0.179)	Loss 5.0377 (5.0053)	Prec@1 2.344 (4.673)	Prec@5 14.844 (16.048)
Epoch: [12][2770/7045]	Time 0.288 (0.243)	Data 0.237 (0.179)	Loss 4.9979 (5.0053)	Prec@1 3.125 (4.671)	Prec@5 15.625 (16.045)
Epoch: [12][2780/7045]	Time 0.508 (0.243)	Data 0.457 (0.179)	Loss 5.0327 (5.0054)	Prec@1 5.078 (4.671)	Prec@5 16.797 (16.047)
Epoch: [12][2790/7045]	Time 0.200 (0.243)	Data 0.149 (0.179)	Loss 5.0540 (5.0052)	Prec@1 3.516 (4.671)	Prec@5 16.797 (16.048)
Epoch: [12][2800/7045]	Time 0.517 (0.243)	Data 0.459 (0.180)	Loss 4.9752 (5.0052)	Prec@1 5.078 (4.670)	Prec@5 13.281 (16.048)
Epoch: [12][2810/7045]	Time 0.106 (0.243)	Data 0.005 (0.179)	Loss 5.0985 (5.0052)	Prec@1 3.125 (4.669)	Prec@5 14.062 (16.049)
Epoch: [12][2820/7045]	Time 0.475 (0.243)	Data 0.423 (0.179)	Loss 4.9991 (5.0054)	Prec@1 5.078 (4.669)	Prec@5 14.062 (16.048)
Epoch: [12][2830/7045]	Time 0.108 (0.243)	Data 0.002 (0.179)	Loss 5.0707 (5.0053)	Prec@1 3.516 (4.667)	Prec@5 16.016 (16.050)
Epoch: [12][2840/7045]	Time 0.534 (0.243)	Data 0.482 (0.179)	Loss 5.2024 (5.0056)	Prec@1 2.344 (4.666)	Prec@5 12.891 (16.046)
Epoch: [12][2850/7045]	Time 0.101 (0.243)	Data 0.005 (0.179)	Loss 5.1466 (5.0056)	Prec@1 1.953 (4.662)	Prec@5 8.594 (16.043)
Epoch: [12][2860/7045]	Time 0.481 (0.243)	Data 0.430 (0.179)	Loss 4.9817 (5.0057)	Prec@1 4.297 (4.663)	Prec@5 14.453 (16.043)
Epoch: [12][2870/7045]	Time 0.103 (0.243)	Data 0.050 (0.179)	Loss 5.0253 (5.0057)	Prec@1 3.516 (4.662)	Prec@5 14.062 (16.039)
Epoch: [12][2880/7045]	Time 0.491 (0.243)	Data 0.440 (0.179)	Loss 5.0980 (5.0059)	Prec@1 6.641 (4.664)	Prec@5 14.844 (16.037)
Epoch: [12][2890/7045]	Time 0.107 (0.243)	Data 0.001 (0.179)	Loss 4.9733 (5.0061)	Prec@1 4.297 (4.661)	Prec@5 16.797 (16.036)
Epoch: [12][2900/7045]	Time 0.473 (0.243)	Data 0.422 (0.179)	Loss 5.0804 (5.0062)	Prec@1 3.516 (4.659)	Prec@5 16.406 (16.037)
Epoch: [12][2910/7045]	Time 0.110 (0.243)	Data 0.056 (0.179)	Loss 4.9418 (5.0060)	Prec@1 5.078 (4.662)	Prec@5 16.797 (16.042)
Epoch: [12][2920/7045]	Time 0.405 (0.243)	Data 0.354 (0.179)	Loss 4.7560 (5.0060)	Prec@1 5.078 (4.663)	Prec@5 22.266 (16.046)
Epoch: [12][2930/7045]	Time 0.171 (0.243)	Data 0.120 (0.179)	Loss 4.9037 (5.0058)	Prec@1 6.641 (4.665)	Prec@5 18.359 (16.051)
Epoch: [12][2940/7045]	Time 0.296 (0.243)	Data 0.244 (0.179)	Loss 5.0991 (5.0059)	Prec@1 5.859 (4.665)	Prec@5 14.844 (16.052)
Epoch: [12][2950/7045]	Time 0.289 (0.243)	Data 0.235 (0.180)	Loss 4.9293 (5.0058)	Prec@1 5.078 (4.666)	Prec@5 15.234 (16.053)
Epoch: [12][2960/7045]	Time 0.295 (0.243)	Data 0.244 (0.179)	Loss 5.0211 (5.0058)	Prec@1 3.516 (4.664)	Prec@5 16.016 (16.053)
Epoch: [12][2970/7045]	Time 0.187 (0.243)	Data 0.136 (0.179)	Loss 5.0523 (5.0059)	Prec@1 4.688 (4.665)	Prec@5 16.797 (16.053)
Epoch: [12][2980/7045]	Time 0.304 (0.243)	Data 0.253 (0.179)	Loss 5.1329 (5.0059)	Prec@1 1.953 (4.663)	Prec@5 12.891 (16.050)
Epoch: [12][2990/7045]	Time 0.153 (0.243)	Data 0.102 (0.179)	Loss 4.9191 (5.0059)	Prec@1 5.469 (4.664)	Prec@5 17.969 (16.055)
Epoch: [12][3000/7045]	Time 0.436 (0.243)	Data 0.384 (0.179)	Loss 4.9563 (5.0058)	Prec@1 2.734 (4.667)	Prec@5 15.234 (16.059)
Epoch: [12][3010/7045]	Time 0.127 (0.243)	Data 0.069 (0.179)	Loss 4.9521 (5.0057)	Prec@1 6.641 (4.668)	Prec@5 17.188 (16.060)
Epoch: [12][3020/7045]	Time 0.415 (0.243)	Data 0.364 (0.179)	Loss 4.9951 (5.0057)	Prec@1 4.297 (4.666)	Prec@5 16.016 (16.058)
Epoch: [12][3030/7045]	Time 0.102 (0.243)	Data 0.002 (0.179)	Loss 5.0275 (5.0057)	Prec@1 5.469 (4.667)	Prec@5 20.312 (16.061)
Epoch: [12][3040/7045]	Time 0.382 (0.243)	Data 0.330 (0.179)	Loss 5.0189 (5.0056)	Prec@1 5.859 (4.667)	Prec@5 16.016 (16.062)
Epoch: [12][3050/7045]	Time 0.101 (0.243)	Data 0.048 (0.179)	Loss 4.9625 (5.0057)	Prec@1 4.297 (4.665)	Prec@5 17.188 (16.062)
Epoch: [12][3060/7045]	Time 0.343 (0.243)	Data 0.292 (0.179)	Loss 4.8955 (5.0055)	Prec@1 8.594 (4.668)	Prec@5 19.922 (16.066)
Epoch: [12][3070/7045]	Time 0.115 (0.243)	Data 0.063 (0.179)	Loss 4.8796 (5.0056)	Prec@1 7.031 (4.667)	Prec@5 21.484 (16.063)
Epoch: [12][3080/7045]	Time 0.446 (0.243)	Data 0.395 (0.179)	Loss 4.9803 (5.0054)	Prec@1 3.125 (4.668)	Prec@5 15.234 (16.067)
Epoch: [12][3090/7045]	Time 0.118 (0.243)	Data 0.060 (0.179)	Loss 4.9915 (5.0054)	Prec@1 3.516 (4.668)	Prec@5 17.188 (16.066)
Epoch: [12][3100/7045]	Time 0.449 (0.243)	Data 0.400 (0.179)	Loss 5.0014 (5.0053)	Prec@1 4.688 (4.672)	Prec@5 16.797 (16.071)
Epoch: [12][3110/7045]	Time 0.134 (0.242)	Data 0.083 (0.179)	Loss 5.0019 (5.0051)	Prec@1 4.297 (4.674)	Prec@5 11.719 (16.073)
Epoch: [12][3120/7045]	Time 0.331 (0.242)	Data 0.281 (0.179)	Loss 5.0927 (5.0049)	Prec@1 5.469 (4.678)	Prec@5 15.234 (16.081)
Epoch: [12][3130/7045]	Time 0.101 (0.242)	Data 0.048 (0.179)	Loss 4.9958 (5.0049)	Prec@1 5.078 (4.678)	Prec@5 14.453 (16.081)
Epoch: [12][3140/7045]	Time 0.371 (0.242)	Data 0.319 (0.179)	Loss 5.0067 (5.0049)	Prec@1 6.250 (4.679)	Prec@5 16.406 (16.080)
Epoch: [12][3150/7045]	Time 0.107 (0.242)	Data 0.006 (0.179)	Loss 4.9762 (5.0047)	Prec@1 3.516 (4.679)	Prec@5 17.188 (16.082)
Epoch: [12][3160/7045]	Time 0.359 (0.242)	Data 0.308 (0.179)	Loss 4.9605 (5.0048)	Prec@1 5.859 (4.680)	Prec@5 17.188 (16.081)
Epoch: [12][3170/7045]	Time 0.112 (0.242)	Data 0.053 (0.179)	Loss 4.8811 (5.0047)	Prec@1 5.078 (4.682)	Prec@5 17.969 (16.083)
Epoch: [12][3180/7045]	Time 0.429 (0.242)	Data 0.378 (0.179)	Loss 4.9524 (5.0047)	Prec@1 5.469 (4.684)	Prec@5 17.578 (16.088)
Epoch: [12][3190/7045]	Time 0.109 (0.242)	Data 0.006 (0.179)	Loss 4.8792 (5.0044)	Prec@1 1.953 (4.684)	Prec@5 15.625 (16.091)
Epoch: [12][3200/7045]	Time 0.456 (0.242)	Data 0.404 (0.179)	Loss 5.0531 (5.0045)	Prec@1 5.859 (4.685)	Prec@5 16.016 (16.090)
Epoch: [12][3210/7045]	Time 0.102 (0.242)	Data 0.011 (0.179)	Loss 4.8637 (5.0044)	Prec@1 5.078 (4.686)	Prec@5 19.141 (16.094)
Epoch: [12][3220/7045]	Time 0.293 (0.242)	Data 0.241 (0.179)	Loss 5.0351 (5.0044)	Prec@1 3.906 (4.687)	Prec@5 16.016 (16.097)
Epoch: [12][3230/7045]	Time 0.107 (0.242)	Data 0.001 (0.179)	Loss 4.9182 (5.0043)	Prec@1 2.734 (4.685)	Prec@5 13.672 (16.093)
Epoch: [12][3240/7045]	Time 0.298 (0.242)	Data 0.247 (0.179)	Loss 5.0089 (5.0041)	Prec@1 4.688 (4.688)	Prec@5 15.234 (16.095)
Epoch: [12][3250/7045]	Time 0.107 (0.242)	Data 0.005 (0.179)	Loss 5.0107 (5.0040)	Prec@1 4.688 (4.688)	Prec@5 14.453 (16.098)
Epoch: [12][3260/7045]	Time 0.378 (0.242)	Data 0.327 (0.179)	Loss 4.9994 (5.0040)	Prec@1 5.078 (4.689)	Prec@5 17.969 (16.098)
Epoch: [12][3270/7045]	Time 0.101 (0.242)	Data 0.050 (0.179)	Loss 5.2174 (5.0042)	Prec@1 4.688 (4.687)	Prec@5 11.328 (16.094)
Epoch: [12][3280/7045]	Time 0.260 (0.242)	Data 0.206 (0.179)	Loss 4.9800 (5.0044)	Prec@1 5.078 (4.686)	Prec@5 14.062 (16.091)
Epoch: [12][3290/7045]	Time 0.107 (0.242)	Data 0.054 (0.179)	Loss 4.9552 (5.0043)	Prec@1 4.688 (4.686)	Prec@5 15.625 (16.094)
Epoch: [12][3300/7045]	Time 0.213 (0.242)	Data 0.163 (0.179)	Loss 4.8898 (5.0042)	Prec@1 5.469 (4.686)	Prec@5 18.750 (16.098)
Epoch: [12][3310/7045]	Time 0.105 (0.242)	Data 0.053 (0.179)	Loss 4.8740 (5.0040)	Prec@1 6.641 (4.689)	Prec@5 19.531 (16.102)
Epoch: [12][3320/7045]	Time 0.103 (0.242)	Data 0.001 (0.179)	Loss 4.8661 (5.0039)	Prec@1 4.688 (4.691)	Prec@5 18.750 (16.103)
Epoch: [12][3330/7045]	Time 0.197 (0.242)	Data 0.146 (0.179)	Loss 4.9036 (5.0039)	Prec@1 4.688 (4.691)	Prec@5 21.484 (16.104)
Epoch: [12][3340/7045]	Time 0.339 (0.242)	Data 0.287 (0.179)	Loss 5.0655 (5.0040)	Prec@1 3.906 (4.692)	Prec@5 16.797 (16.104)
Epoch: [12][3350/7045]	Time 0.108 (0.242)	Data 0.055 (0.179)	Loss 5.0470 (5.0043)	Prec@1 5.469 (4.691)	Prec@5 16.406 (16.099)
Epoch: [12][3360/7045]	Time 0.334 (0.242)	Data 0.283 (0.179)	Loss 5.1011 (5.0043)	Prec@1 3.516 (4.691)	Prec@5 15.234 (16.102)
Epoch: [12][3370/7045]	Time 0.102 (0.242)	Data 0.049 (0.179)	Loss 5.1685 (5.0046)	Prec@1 1.562 (4.689)	Prec@5 11.328 (16.100)
Epoch: [12][3380/7045]	Time 0.351 (0.242)	Data 0.299 (0.179)	Loss 4.9388 (5.0044)	Prec@1 5.469 (4.688)	Prec@5 19.531 (16.100)
Epoch: [12][3390/7045]	Time 0.160 (0.242)	Data 0.109 (0.179)	Loss 4.9623 (5.0046)	Prec@1 6.641 (4.686)	Prec@5 18.359 (16.096)
Epoch: [12][3400/7045]	Time 0.365 (0.242)	Data 0.307 (0.180)	Loss 5.0835 (5.0044)	Prec@1 2.734 (4.687)	Prec@5 12.500 (16.099)
Epoch: [12][3410/7045]	Time 0.170 (0.242)	Data 0.118 (0.180)	Loss 4.9241 (5.0045)	Prec@1 5.469 (4.689)	Prec@5 19.141 (16.102)
Epoch: [12][3420/7045]	Time 0.402 (0.242)	Data 0.344 (0.180)	Loss 4.8380 (5.0045)	Prec@1 6.641 (4.690)	Prec@5 20.703 (16.099)
Epoch: [12][3430/7045]	Time 0.407 (0.242)	Data 0.349 (0.180)	Loss 4.8688 (5.0042)	Prec@1 6.250 (4.692)	Prec@5 20.312 (16.105)
Epoch: [12][3440/7045]	Time 0.304 (0.242)	Data 0.247 (0.180)	Loss 5.0477 (5.0042)	Prec@1 5.078 (4.692)	Prec@5 15.234 (16.105)
Epoch: [12][3450/7045]	Time 0.326 (0.242)	Data 0.275 (0.180)	Loss 5.0060 (5.0044)	Prec@1 6.641 (4.692)	Prec@5 16.406 (16.104)
Epoch: [12][3460/7045]	Time 0.109 (0.242)	Data 0.058 (0.180)	Loss 5.1284 (5.0046)	Prec@1 4.297 (4.691)	Prec@5 12.891 (16.098)
Epoch: [12][3470/7045]	Time 0.251 (0.242)	Data 0.200 (0.180)	Loss 5.1337 (5.0047)	Prec@1 3.906 (4.690)	Prec@5 14.062 (16.097)
Epoch: [12][3480/7045]	Time 0.108 (0.242)	Data 0.055 (0.180)	Loss 5.1541 (5.0049)	Prec@1 3.516 (4.689)	Prec@5 12.500 (16.092)
Epoch: [12][3490/7045]	Time 0.168 (0.242)	Data 0.117 (0.180)	Loss 5.0522 (5.0049)	Prec@1 3.906 (4.688)	Prec@5 14.453 (16.090)
Epoch: [12][3500/7045]	Time 0.300 (0.242)	Data 0.248 (0.180)	Loss 4.9228 (5.0051)	Prec@1 6.250 (4.688)	Prec@5 14.453 (16.085)
Epoch: [12][3510/7045]	Time 0.102 (0.242)	Data 0.001 (0.180)	Loss 5.1671 (5.0053)	Prec@1 4.297 (4.687)	Prec@5 12.891 (16.079)
Epoch: [12][3520/7045]	Time 0.526 (0.242)	Data 0.475 (0.180)	Loss 4.9552 (5.0052)	Prec@1 5.859 (4.688)	Prec@5 21.094 (16.081)
Epoch: [12][3530/7045]	Time 0.108 (0.242)	Data 0.057 (0.180)	Loss 5.0254 (5.0052)	Prec@1 4.297 (4.688)	Prec@5 14.844 (16.080)
Epoch: [12][3540/7045]	Time 0.515 (0.242)	Data 0.464 (0.180)	Loss 5.0581 (5.0053)	Prec@1 6.250 (4.690)	Prec@5 14.453 (16.080)
Epoch: [12][3550/7045]	Time 0.144 (0.242)	Data 0.092 (0.180)	Loss 4.9806 (5.0053)	Prec@1 3.516 (4.691)	Prec@5 19.141 (16.081)
Epoch: [12][3560/7045]	Time 0.492 (0.242)	Data 0.441 (0.180)	Loss 5.0028 (5.0054)	Prec@1 6.250 (4.692)	Prec@5 15.234 (16.082)
Epoch: [12][3570/7045]	Time 0.215 (0.242)	Data 0.158 (0.180)	Loss 5.1266 (5.0053)	Prec@1 4.297 (4.692)	Prec@5 12.109 (16.083)
Epoch: [12][3580/7045]	Time 0.300 (0.242)	Data 0.250 (0.180)	Loss 5.2113 (5.0055)	Prec@1 3.516 (4.691)	Prec@5 12.109 (16.077)
Epoch: [12][3590/7045]	Time 0.248 (0.242)	Data 0.198 (0.180)	Loss 5.1544 (5.0056)	Prec@1 2.734 (4.689)	Prec@5 14.453 (16.074)
Epoch: [12][3600/7045]	Time 0.156 (0.242)	Data 0.105 (0.180)	Loss 4.9682 (5.0058)	Prec@1 6.250 (4.691)	Prec@5 14.844 (16.073)
Epoch: [12][3610/7045]	Time 0.101 (0.242)	Data 0.001 (0.180)	Loss 5.2117 (5.0058)	Prec@1 4.297 (4.691)	Prec@5 14.453 (16.074)
Epoch: [12][3620/7045]	Time 0.102 (0.242)	Data 0.005 (0.180)	Loss 5.0771 (5.0059)	Prec@1 3.516 (4.691)	Prec@5 15.234 (16.073)
Epoch: [12][3630/7045]	Time 0.218 (0.242)	Data 0.166 (0.180)	Loss 4.9357 (5.0059)	Prec@1 3.906 (4.690)	Prec@5 15.234 (16.073)
Epoch: [12][3640/7045]	Time 0.187 (0.242)	Data 0.136 (0.180)	Loss 5.1582 (5.0059)	Prec@1 4.688 (4.691)	Prec@5 12.109 (16.072)
Epoch: [12][3650/7045]	Time 0.358 (0.242)	Data 0.306 (0.180)	Loss 5.0101 (5.0060)	Prec@1 4.297 (4.691)	Prec@5 14.062 (16.072)
Epoch: [12][3660/7045]	Time 0.269 (0.242)	Data 0.219 (0.180)	Loss 4.9559 (5.0059)	Prec@1 3.125 (4.692)	Prec@5 15.234 (16.072)
Epoch: [12][3670/7045]	Time 0.542 (0.243)	Data 0.482 (0.180)	Loss 5.1973 (5.0061)	Prec@1 3.125 (4.691)	Prec@5 12.891 (16.067)
Epoch: [12][3680/7045]	Time 0.109 (0.242)	Data 0.002 (0.180)	Loss 5.1636 (5.0064)	Prec@1 5.469 (4.689)	Prec@5 14.062 (16.060)
Epoch: [12][3690/7045]	Time 0.381 (0.242)	Data 0.330 (0.180)	Loss 5.1126 (5.0065)	Prec@1 3.906 (4.688)	Prec@5 11.328 (16.057)
Epoch: [12][3700/7045]	Time 0.171 (0.242)	Data 0.114 (0.180)	Loss 4.9335 (5.0064)	Prec@1 5.078 (4.689)	Prec@5 19.141 (16.061)
Epoch: [12][3710/7045]	Time 0.240 (0.243)	Data 0.189 (0.180)	Loss 5.0163 (5.0063)	Prec@1 5.859 (4.689)	Prec@5 16.406 (16.064)
Epoch: [12][3720/7045]	Time 0.400 (0.243)	Data 0.343 (0.180)	Loss 5.0096 (5.0064)	Prec@1 3.906 (4.690)	Prec@5 14.062 (16.063)
Epoch: [12][3730/7045]	Time 0.177 (0.242)	Data 0.125 (0.180)	Loss 4.9372 (5.0063)	Prec@1 4.297 (4.691)	Prec@5 16.016 (16.063)
Epoch: [12][3740/7045]	Time 0.475 (0.243)	Data 0.424 (0.180)	Loss 4.9094 (5.0063)	Prec@1 5.469 (4.690)	Prec@5 17.578 (16.063)
Epoch: [12][3750/7045]	Time 0.101 (0.242)	Data 0.001 (0.180)	Loss 4.8917 (5.0062)	Prec@1 4.688 (4.689)	Prec@5 20.312 (16.063)
Epoch: [12][3760/7045]	Time 0.499 (0.243)	Data 0.446 (0.180)	Loss 5.0070 (5.0066)	Prec@1 4.688 (4.687)	Prec@5 16.797 (16.057)
Epoch: [12][3770/7045]	Time 0.101 (0.242)	Data 0.004 (0.180)	Loss 4.9203 (5.0066)	Prec@1 5.859 (4.688)	Prec@5 17.969 (16.058)
Epoch: [12][3780/7045]	Time 0.530 (0.243)	Data 0.473 (0.180)	Loss 5.0503 (5.0066)	Prec@1 5.859 (4.689)	Prec@5 17.578 (16.060)
Epoch: [12][3790/7045]	Time 0.102 (0.242)	Data 0.001 (0.180)	Loss 4.8951 (5.0067)	Prec@1 6.250 (4.689)	Prec@5 20.312 (16.057)
Epoch: [12][3800/7045]	Time 0.642 (0.243)	Data 0.590 (0.180)	Loss 5.1169 (5.0069)	Prec@1 4.688 (4.688)	Prec@5 12.109 (16.054)
Epoch: [12][3810/7045]	Time 0.103 (0.242)	Data 0.049 (0.180)	Loss 5.1513 (5.0071)	Prec@1 5.078 (4.687)	Prec@5 15.234 (16.049)
Epoch: [12][3820/7045]	Time 0.611 (0.243)	Data 0.560 (0.180)	Loss 4.9912 (5.0071)	Prec@1 5.859 (4.688)	Prec@5 18.750 (16.051)
Epoch: [12][3830/7045]	Time 0.306 (0.243)	Data 0.255 (0.180)	Loss 4.9484 (5.0071)	Prec@1 5.078 (4.687)	Prec@5 16.797 (16.048)
Epoch: [12][3840/7045]	Time 0.451 (0.243)	Data 0.392 (0.180)	Loss 4.9239 (5.0071)	Prec@1 6.250 (4.689)	Prec@5 17.969 (16.049)
Epoch: [12][3850/7045]	Time 0.274 (0.242)	Data 0.222 (0.180)	Loss 5.0184 (5.0070)	Prec@1 6.641 (4.688)	Prec@5 15.234 (16.047)
Epoch: [12][3860/7045]	Time 0.256 (0.243)	Data 0.198 (0.180)	Loss 5.0651 (5.0071)	Prec@1 3.516 (4.688)	Prec@5 14.062 (16.047)
Epoch: [12][3870/7045]	Time 0.133 (0.242)	Data 0.081 (0.180)	Loss 5.0180 (5.0071)	Prec@1 2.344 (4.687)	Prec@5 11.328 (16.045)
Epoch: [12][3880/7045]	Time 0.196 (0.243)	Data 0.146 (0.180)	Loss 4.8851 (5.0069)	Prec@1 5.469 (4.690)	Prec@5 15.625 (16.048)
Epoch: [12][3890/7045]	Time 0.241 (0.242)	Data 0.191 (0.180)	Loss 4.9824 (5.0068)	Prec@1 3.516 (4.689)	Prec@5 17.578 (16.051)
Epoch: [12][3900/7045]	Time 0.101 (0.243)	Data 0.004 (0.180)	Loss 5.2243 (5.0069)	Prec@1 5.469 (4.688)	Prec@5 12.891 (16.047)
Epoch: [12][3910/7045]	Time 0.101 (0.242)	Data 0.048 (0.180)	Loss 4.9392 (5.0068)	Prec@1 5.469 (4.689)	Prec@5 18.750 (16.048)
Epoch: [12][3920/7045]	Time 0.108 (0.243)	Data 0.003 (0.180)	Loss 5.1109 (5.0069)	Prec@1 5.078 (4.689)	Prec@5 15.625 (16.047)
Epoch: [12][3930/7045]	Time 0.250 (0.242)	Data 0.199 (0.180)	Loss 4.9962 (5.0070)	Prec@1 5.859 (4.690)	Prec@5 16.797 (16.047)
Epoch: [12][3940/7045]	Time 0.102 (0.242)	Data 0.046 (0.180)	Loss 4.9471 (5.0069)	Prec@1 6.250 (4.691)	Prec@5 19.922 (16.049)
Epoch: [12][3950/7045]	Time 0.250 (0.243)	Data 0.199 (0.180)	Loss 4.9855 (5.0068)	Prec@1 4.297 (4.692)	Prec@5 15.234 (16.048)
Epoch: [12][3960/7045]	Time 0.456 (0.243)	Data 0.396 (0.180)	Loss 5.0639 (5.0067)	Prec@1 5.469 (4.694)	Prec@5 15.234 (16.050)
Epoch: [12][3970/7045]	Time 0.106 (0.243)	Data 0.054 (0.180)	Loss 4.9813 (5.0067)	Prec@1 6.250 (4.694)	Prec@5 17.578 (16.049)
Epoch: [12][3980/7045]	Time 0.396 (0.243)	Data 0.345 (0.180)	Loss 4.9320 (5.0066)	Prec@1 5.859 (4.695)	Prec@5 17.188 (16.055)
Epoch: [12][3990/7045]	Time 0.142 (0.243)	Data 0.083 (0.180)	Loss 4.9792 (5.0066)	Prec@1 4.688 (4.697)	Prec@5 14.453 (16.055)
Epoch: [12][4000/7045]	Time 0.397 (0.243)	Data 0.347 (0.180)	Loss 4.9185 (5.0066)	Prec@1 5.469 (4.697)	Prec@5 17.578 (16.053)
Epoch: [12][4010/7045]	Time 0.138 (0.243)	Data 0.087 (0.180)	Loss 5.0854 (5.0067)	Prec@1 3.516 (4.695)	Prec@5 14.453 (16.051)
Epoch: [12][4020/7045]	Time 0.109 (0.243)	Data 0.057 (0.180)	Loss 5.0051 (5.0068)	Prec@1 3.516 (4.695)	Prec@5 15.234 (16.050)
Epoch: [12][4030/7045]	Time 0.158 (0.243)	Data 0.108 (0.180)	Loss 5.1514 (5.0068)	Prec@1 5.859 (4.696)	Prec@5 12.109 (16.051)
Epoch: [12][4040/7045]	Time 0.109 (0.243)	Data 0.001 (0.180)	Loss 4.7668 (5.0067)	Prec@1 5.469 (4.694)	Prec@5 19.922 (16.050)
Epoch: [12][4050/7045]	Time 0.102 (0.243)	Data 0.001 (0.180)	Loss 4.9293 (5.0068)	Prec@1 7.031 (4.696)	Prec@5 18.750 (16.051)
Epoch: [12][4060/7045]	Time 0.105 (0.243)	Data 0.044 (0.180)	Loss 4.9004 (5.0068)	Prec@1 6.641 (4.696)	Prec@5 20.703 (16.050)
Epoch: [12][4070/7045]	Time 0.101 (0.243)	Data 0.049 (0.180)	Loss 5.0417 (5.0068)	Prec@1 3.906 (4.696)	Prec@5 12.109 (16.048)
Epoch: [12][4080/7045]	Time 0.217 (0.243)	Data 0.165 (0.180)	Loss 4.9668 (5.0069)	Prec@1 3.516 (4.695)	Prec@5 12.109 (16.044)
Epoch: [12][4090/7045]	Time 0.419 (0.243)	Data 0.369 (0.180)	Loss 4.9592 (5.0069)	Prec@1 4.297 (4.694)	Prec@5 17.969 (16.043)
Epoch: [12][4100/7045]	Time 0.231 (0.243)	Data 0.181 (0.180)	Loss 4.9161 (5.0069)	Prec@1 5.078 (4.693)	Prec@5 20.703 (16.042)
Epoch: [12][4110/7045]	Time 0.587 (0.243)	Data 0.531 (0.180)	Loss 5.0696 (5.0068)	Prec@1 3.125 (4.693)	Prec@5 15.625 (16.043)
Epoch: [12][4120/7045]	Time 0.101 (0.243)	Data 0.047 (0.180)	Loss 5.0708 (5.0069)	Prec@1 5.078 (4.693)	Prec@5 14.844 (16.042)
Epoch: [12][4130/7045]	Time 0.405 (0.243)	Data 0.352 (0.180)	Loss 4.9100 (5.0068)	Prec@1 4.688 (4.691)	Prec@5 17.188 (16.043)
Epoch: [12][4140/7045]	Time 0.102 (0.243)	Data 0.045 (0.180)	Loss 4.9341 (5.0068)	Prec@1 5.078 (4.690)	Prec@5 15.625 (16.040)
Epoch: [12][4150/7045]	Time 0.134 (0.243)	Data 0.082 (0.180)	Loss 4.9972 (5.0069)	Prec@1 6.641 (4.689)	Prec@5 16.797 (16.039)
Epoch: [12][4160/7045]	Time 0.285 (0.243)	Data 0.233 (0.180)	Loss 5.0229 (5.0068)	Prec@1 3.906 (4.689)	Prec@5 13.672 (16.037)
Epoch: [12][4170/7045]	Time 0.101 (0.243)	Data 0.001 (0.180)	Loss 5.0227 (5.0069)	Prec@1 4.297 (4.689)	Prec@5 13.672 (16.036)
Epoch: [12][4180/7045]	Time 0.490 (0.243)	Data 0.432 (0.180)	Loss 5.0612 (5.0070)	Prec@1 5.078 (4.689)	Prec@5 14.062 (16.036)
Epoch: [12][4190/7045]	Time 0.203 (0.243)	Data 0.152 (0.180)	Loss 4.9123 (5.0071)	Prec@1 3.516 (4.690)	Prec@5 19.141 (16.035)
Epoch: [12][4200/7045]	Time 0.452 (0.243)	Data 0.401 (0.180)	Loss 5.0786 (5.0072)	Prec@1 6.641 (4.690)	Prec@5 19.922 (16.035)
Epoch: [12][4210/7045]	Time 0.237 (0.243)	Data 0.186 (0.180)	Loss 5.0666 (5.0073)	Prec@1 6.250 (4.690)	Prec@5 19.531 (16.036)
Epoch: [12][4220/7045]	Time 0.340 (0.243)	Data 0.288 (0.180)	Loss 4.9842 (5.0074)	Prec@1 5.859 (4.690)	Prec@5 14.844 (16.034)
Epoch: [12][4230/7045]	Time 0.169 (0.243)	Data 0.116 (0.180)	Loss 4.9812 (5.0073)	Prec@1 3.906 (4.690)	Prec@5 17.188 (16.036)
Epoch: [12][4240/7045]	Time 0.105 (0.243)	Data 0.053 (0.180)	Loss 5.1000 (5.0072)	Prec@1 3.906 (4.691)	Prec@5 16.797 (16.041)
Epoch: [12][4250/7045]	Time 0.108 (0.243)	Data 0.056 (0.180)	Loss 5.0268 (5.0072)	Prec@1 5.469 (4.692)	Prec@5 16.406 (16.039)
Epoch: [12][4260/7045]	Time 0.148 (0.243)	Data 0.097 (0.180)	Loss 5.0389 (5.0072)	Prec@1 6.250 (4.694)	Prec@5 17.969 (16.041)
Epoch: [12][4270/7045]	Time 0.153 (0.243)	Data 0.103 (0.180)	Loss 4.9852 (5.0071)	Prec@1 5.469 (4.694)	Prec@5 16.406 (16.041)
Epoch: [12][4280/7045]	Time 0.345 (0.243)	Data 0.288 (0.180)	Loss 4.8593 (5.0069)	Prec@1 4.688 (4.694)	Prec@5 21.484 (16.044)
Epoch: [12][4290/7045]	Time 0.102 (0.243)	Data 0.001 (0.180)	Loss 5.0732 (5.0069)	Prec@1 3.906 (4.694)	Prec@5 13.281 (16.042)
Epoch: [12][4300/7045]	Time 0.339 (0.243)	Data 0.289 (0.180)	Loss 5.0499 (5.0071)	Prec@1 5.078 (4.693)	Prec@5 16.016 (16.039)
Epoch: [12][4310/7045]	Time 0.128 (0.243)	Data 0.078 (0.180)	Loss 5.0060 (5.0071)	Prec@1 4.688 (4.693)	Prec@5 15.234 (16.038)
Epoch: [12][4320/7045]	Time 0.100 (0.243)	Data 0.046 (0.180)	Loss 5.0123 (5.0071)	Prec@1 3.125 (4.692)	Prec@5 13.672 (16.039)
Epoch: [12][4330/7045]	Time 0.100 (0.243)	Data 0.001 (0.180)	Loss 5.1708 (5.0071)	Prec@1 1.953 (4.692)	Prec@5 11.328 (16.039)
Epoch: [12][4340/7045]	Time 0.307 (0.243)	Data 0.257 (0.180)	Loss 5.0705 (5.0070)	Prec@1 4.688 (4.692)	Prec@5 16.406 (16.040)
Epoch: [12][4350/7045]	Time 0.156 (0.243)	Data 0.104 (0.180)	Loss 4.9494 (5.0070)	Prec@1 2.344 (4.691)	Prec@5 14.844 (16.042)
Epoch: [12][4360/7045]	Time 0.551 (0.243)	Data 0.500 (0.180)	Loss 4.9902 (5.0071)	Prec@1 5.078 (4.690)	Prec@5 14.062 (16.038)
Epoch: [12][4370/7045]	Time 0.163 (0.243)	Data 0.113 (0.180)	Loss 4.9363 (5.0070)	Prec@1 4.688 (4.690)	Prec@5 17.969 (16.041)
Epoch: [12][4380/7045]	Time 0.358 (0.243)	Data 0.307 (0.180)	Loss 4.9382 (5.0069)	Prec@1 3.516 (4.691)	Prec@5 18.359 (16.042)
Epoch: [12][4390/7045]	Time 0.108 (0.243)	Data 0.056 (0.180)	Loss 4.9586 (5.0068)	Prec@1 7.031 (4.692)	Prec@5 18.359 (16.043)
Epoch: [12][4400/7045]	Time 0.107 (0.243)	Data 0.004 (0.180)	Loss 5.0330 (5.0068)	Prec@1 3.906 (4.692)	Prec@5 12.500 (16.046)
Epoch: [12][4410/7045]	Time 0.103 (0.243)	Data 0.001 (0.180)	Loss 4.9050 (5.0067)	Prec@1 4.297 (4.694)	Prec@5 21.094 (16.045)
Epoch: [12][4420/7045]	Time 0.103 (0.243)	Data 0.051 (0.180)	Loss 4.9176 (5.0065)	Prec@1 5.078 (4.695)	Prec@5 21.875 (16.049)
Epoch: [12][4430/7045]	Time 0.517 (0.243)	Data 0.466 (0.181)	Loss 4.8994 (5.0062)	Prec@1 6.250 (4.696)	Prec@5 19.531 (16.053)
Epoch: [12][4440/7045]	Time 0.108 (0.243)	Data 0.001 (0.180)	Loss 4.8590 (5.0061)	Prec@1 7.812 (4.696)	Prec@5 17.578 (16.056)
Epoch: [12][4450/7045]	Time 0.646 (0.243)	Data 0.595 (0.181)	Loss 4.8426 (5.0061)	Prec@1 6.250 (4.697)	Prec@5 19.922 (16.057)
Epoch: [12][4460/7045]	Time 0.102 (0.243)	Data 0.001 (0.180)	Loss 5.0575 (5.0061)	Prec@1 5.469 (4.697)	Prec@5 15.234 (16.057)
Epoch: [12][4470/7045]	Time 0.563 (0.243)	Data 0.513 (0.180)	Loss 4.9548 (5.0061)	Prec@1 3.125 (4.695)	Prec@5 16.016 (16.055)
Epoch: [12][4480/7045]	Time 0.101 (0.243)	Data 0.001 (0.180)	Loss 4.8485 (5.0060)	Prec@1 5.469 (4.696)	Prec@5 22.266 (16.058)
Epoch: [12][4490/7045]	Time 0.642 (0.243)	Data 0.591 (0.180)	Loss 4.9331 (5.0058)	Prec@1 3.516 (4.696)	Prec@5 16.016 (16.061)
Epoch: [12][4500/7045]	Time 0.103 (0.243)	Data 0.001 (0.180)	Loss 5.0501 (5.0059)	Prec@1 3.125 (4.697)	Prec@5 15.234 (16.059)
Epoch: [12][4510/7045]	Time 0.625 (0.243)	Data 0.573 (0.180)	Loss 4.9627 (5.0058)	Prec@1 6.250 (4.697)	Prec@5 21.875 (16.060)
Epoch: [12][4520/7045]	Time 0.104 (0.243)	Data 0.054 (0.180)	Loss 5.0679 (5.0058)	Prec@1 3.516 (4.696)	Prec@5 17.969 (16.059)
Epoch: [12][4530/7045]	Time 0.404 (0.243)	Data 0.353 (0.180)	Loss 5.0241 (5.0059)	Prec@1 3.125 (4.695)	Prec@5 15.625 (16.060)
Epoch: [12][4540/7045]	Time 0.105 (0.243)	Data 0.054 (0.180)	Loss 5.0993 (5.0060)	Prec@1 3.125 (4.693)	Prec@5 13.672 (16.057)
Epoch: [12][4550/7045]	Time 0.108 (0.243)	Data 0.049 (0.180)	Loss 5.1141 (5.0061)	Prec@1 6.641 (4.693)	Prec@5 14.844 (16.055)
Epoch: [12][4560/7045]	Time 0.102 (0.243)	Data 0.051 (0.180)	Loss 4.9577 (5.0061)	Prec@1 4.688 (4.692)	Prec@5 17.578 (16.057)
Epoch: [12][4570/7045]	Time 0.099 (0.243)	Data 0.047 (0.180)	Loss 5.1117 (5.0061)	Prec@1 2.344 (4.692)	Prec@5 16.016 (16.056)
Epoch: [12][4580/7045]	Time 0.102 (0.243)	Data 0.002 (0.180)	Loss 5.0414 (5.0061)	Prec@1 5.078 (4.692)	Prec@5 12.109 (16.054)
Epoch: [12][4590/7045]	Time 0.107 (0.243)	Data 0.055 (0.180)	Loss 5.1122 (5.0062)	Prec@1 3.125 (4.690)	Prec@5 15.625 (16.053)
Epoch: [12][4600/7045]	Time 0.103 (0.243)	Data 0.002 (0.180)	Loss 5.0369 (5.0063)	Prec@1 4.688 (4.689)	Prec@5 15.625 (16.051)
Epoch: [12][4610/7045]	Time 0.108 (0.243)	Data 0.056 (0.180)	Loss 4.9159 (5.0062)	Prec@1 5.078 (4.690)	Prec@5 17.578 (16.054)
Epoch: [12][4620/7045]	Time 0.102 (0.243)	Data 0.001 (0.180)	Loss 5.1062 (5.0062)	Prec@1 3.906 (4.693)	Prec@5 13.672 (16.056)
Epoch: [12][4630/7045]	Time 0.158 (0.243)	Data 0.107 (0.180)	Loss 5.0726 (5.0061)	Prec@1 4.297 (4.692)	Prec@5 14.453 (16.056)
Epoch: [12][4640/7045]	Time 0.410 (0.243)	Data 0.360 (0.180)	Loss 5.0804 (5.0062)	Prec@1 3.906 (4.692)	Prec@5 15.625 (16.056)
Epoch: [12][4650/7045]	Time 0.106 (0.243)	Data 0.054 (0.180)	Loss 4.9777 (5.0063)	Prec@1 3.125 (4.692)	Prec@5 11.328 (16.051)
Epoch: [12][4660/7045]	Time 0.491 (0.243)	Data 0.435 (0.180)	Loss 5.1307 (5.0063)	Prec@1 4.688 (4.691)	Prec@5 12.500 (16.048)
Epoch: [12][4670/7045]	Time 0.101 (0.243)	Data 0.001 (0.180)	Loss 4.9599 (5.0064)	Prec@1 5.078 (4.690)	Prec@5 17.969 (16.048)
Epoch: [12][4680/7045]	Time 0.478 (0.243)	Data 0.428 (0.180)	Loss 4.9165 (5.0064)	Prec@1 5.469 (4.691)	Prec@5 16.016 (16.047)
Epoch: [12][4690/7045]	Time 0.102 (0.243)	Data 0.001 (0.180)	Loss 4.9899 (5.0064)	Prec@1 4.688 (4.690)	Prec@5 15.625 (16.049)
Epoch: [12][4700/7045]	Time 0.453 (0.243)	Data 0.402 (0.180)	Loss 4.9589 (5.0063)	Prec@1 3.516 (4.691)	Prec@5 13.672 (16.049)
Epoch: [12][4710/7045]	Time 0.102 (0.243)	Data 0.002 (0.180)	Loss 5.0393 (5.0065)	Prec@1 3.906 (4.690)	Prec@5 12.891 (16.045)
Epoch: [12][4720/7045]	Time 0.342 (0.243)	Data 0.291 (0.180)	Loss 5.0694 (5.0068)	Prec@1 6.641 (4.690)	Prec@5 18.750 (16.042)
Epoch: [12][4730/7045]	Time 0.315 (0.243)	Data 0.263 (0.180)	Loss 5.0766 (5.0069)	Prec@1 3.906 (4.689)	Prec@5 15.234 (16.042)
Epoch: [12][4740/7045]	Time 0.351 (0.243)	Data 0.295 (0.180)	Loss 5.0216 (5.0069)	Prec@1 5.469 (4.690)	Prec@5 17.969 (16.042)
Epoch: [12][4750/7045]	Time 0.361 (0.243)	Data 0.305 (0.180)	Loss 5.0375 (5.0068)	Prec@1 3.906 (4.691)	Prec@5 14.844 (16.044)
Epoch: [12][4760/7045]	Time 0.322 (0.243)	Data 0.270 (0.180)	Loss 5.0659 (5.0069)	Prec@1 3.516 (4.692)	Prec@5 14.453 (16.046)
Epoch: [12][4770/7045]	Time 0.387 (0.243)	Data 0.336 (0.180)	Loss 5.0114 (5.0069)	Prec@1 3.906 (4.691)	Prec@5 16.016 (16.044)
Epoch: [12][4780/7045]	Time 0.417 (0.243)	Data 0.367 (0.180)	Loss 5.0728 (5.0069)	Prec@1 3.516 (4.691)	Prec@5 18.359 (16.046)
Epoch: [12][4790/7045]	Time 0.371 (0.243)	Data 0.319 (0.180)	Loss 5.0380 (5.0069)	Prec@1 3.906 (4.691)	Prec@5 16.797 (16.046)
Epoch: [12][4800/7045]	Time 0.298 (0.243)	Data 0.248 (0.180)	Loss 5.1312 (5.0069)	Prec@1 4.297 (4.689)	Prec@5 12.891 (16.046)
Epoch: [12][4810/7045]	Time 0.512 (0.243)	Data 0.461 (0.180)	Loss 5.1109 (5.0070)	Prec@1 3.516 (4.689)	Prec@5 13.281 (16.043)
Epoch: [12][4820/7045]	Time 0.249 (0.243)	Data 0.199 (0.180)	Loss 4.9110 (5.0071)	Prec@1 4.297 (4.689)	Prec@5 17.188 (16.041)
Epoch: [12][4830/7045]	Time 0.519 (0.243)	Data 0.468 (0.180)	Loss 4.9713 (5.0070)	Prec@1 6.250 (4.689)	Prec@5 19.141 (16.044)
Epoch: [12][4840/7045]	Time 0.242 (0.243)	Data 0.189 (0.180)	Loss 4.9133 (5.0071)	Prec@1 5.859 (4.690)	Prec@5 19.531 (16.043)
Epoch: [12][4850/7045]	Time 0.511 (0.243)	Data 0.460 (0.180)	Loss 5.1550 (5.0073)	Prec@1 5.469 (4.690)	Prec@5 13.672 (16.041)
Epoch: [12][4860/7045]	Time 0.457 (0.243)	Data 0.405 (0.180)	Loss 4.8358 (5.0073)	Prec@1 7.031 (4.690)	Prec@5 21.484 (16.041)
Epoch: [12][4870/7045]	Time 0.324 (0.243)	Data 0.273 (0.180)	Loss 5.0052 (5.0072)	Prec@1 3.516 (4.689)	Prec@5 14.062 (16.041)
Epoch: [12][4880/7045]	Time 0.100 (0.243)	Data 0.043 (0.180)	Loss 5.0030 (5.0072)	Prec@1 3.516 (4.689)	Prec@5 19.141 (16.041)
Epoch: [12][4890/7045]	Time 0.303 (0.243)	Data 0.252 (0.180)	Loss 4.8583 (5.0072)	Prec@1 5.859 (4.691)	Prec@5 18.359 (16.042)
Epoch: [12][4900/7045]	Time 0.167 (0.243)	Data 0.109 (0.180)	Loss 4.9181 (5.0071)	Prec@1 4.297 (4.691)	Prec@5 17.188 (16.043)
Epoch: [12][4910/7045]	Time 0.356 (0.243)	Data 0.306 (0.180)	Loss 4.9099 (5.0070)	Prec@1 7.812 (4.691)	Prec@5 19.922 (16.044)
Epoch: [12][4920/7045]	Time 0.151 (0.243)	Data 0.100 (0.180)	Loss 5.0754 (5.0070)	Prec@1 4.688 (4.692)	Prec@5 11.719 (16.043)
Epoch: [12][4930/7045]	Time 0.171 (0.243)	Data 0.120 (0.180)	Loss 4.9697 (5.0070)	Prec@1 5.078 (4.691)	Prec@5 17.578 (16.044)
Epoch: [12][4940/7045]	Time 0.170 (0.243)	Data 0.119 (0.180)	Loss 4.9154 (5.0071)	Prec@1 5.469 (4.691)	Prec@5 16.406 (16.041)
Epoch: [12][4950/7045]	Time 0.165 (0.243)	Data 0.113 (0.180)	Loss 4.8793 (5.0070)	Prec@1 3.516 (4.692)	Prec@5 16.797 (16.043)
Epoch: [12][4960/7045]	Time 0.162 (0.243)	Data 0.110 (0.180)	Loss 5.0700 (5.0071)	Prec@1 7.031 (4.692)	Prec@5 15.625 (16.042)
Epoch: [12][4970/7045]	Time 0.527 (0.243)	Data 0.471 (0.180)	Loss 4.9417 (5.0070)	Prec@1 3.906 (4.692)	Prec@5 14.844 (16.043)
Epoch: [12][4980/7045]	Time 0.114 (0.243)	Data 0.055 (0.180)	Loss 4.9452 (5.0070)	Prec@1 4.688 (4.691)	Prec@5 14.453 (16.042)
Epoch: [12][4990/7045]	Time 0.555 (0.243)	Data 0.503 (0.180)	Loss 5.0463 (5.0070)	Prec@1 5.078 (4.690)	Prec@5 15.625 (16.041)
Epoch: [12][5000/7045]	Time 0.285 (0.243)	Data 0.234 (0.180)	Loss 5.0509 (5.0071)	Prec@1 5.859 (4.689)	Prec@5 17.578 (16.042)
Epoch: [12][5010/7045]	Time 0.275 (0.243)	Data 0.225 (0.180)	Loss 5.0054 (5.0071)	Prec@1 5.469 (4.690)	Prec@5 17.578 (16.041)
Epoch: [12][5020/7045]	Time 0.297 (0.243)	Data 0.246 (0.180)	Loss 4.9165 (5.0073)	Prec@1 3.516 (4.690)	Prec@5 14.844 (16.038)
Epoch: [12][5030/7045]	Time 0.173 (0.243)	Data 0.122 (0.180)	Loss 5.1742 (5.0073)	Prec@1 5.078 (4.688)	Prec@5 10.156 (16.037)
Epoch: [12][5040/7045]	Time 0.101 (0.243)	Data 0.047 (0.180)	Loss 5.0101 (5.0072)	Prec@1 4.297 (4.691)	Prec@5 16.406 (16.039)
Epoch: [12][5050/7045]	Time 0.331 (0.243)	Data 0.280 (0.180)	Loss 5.0665 (5.0072)	Prec@1 5.078 (4.691)	Prec@5 14.844 (16.038)
Epoch: [12][5060/7045]	Time 0.102 (0.243)	Data 0.049 (0.180)	Loss 5.1445 (5.0072)	Prec@1 3.516 (4.692)	Prec@5 15.234 (16.039)
Epoch: [12][5070/7045]	Time 0.227 (0.243)	Data 0.177 (0.180)	Loss 5.0800 (5.0074)	Prec@1 5.078 (4.692)	Prec@5 13.281 (16.037)
Epoch: [12][5080/7045]	Time 0.423 (0.243)	Data 0.372 (0.180)	Loss 5.0172 (5.0074)	Prec@1 3.906 (4.692)	Prec@5 17.188 (16.039)
Epoch: [12][5090/7045]	Time 0.102 (0.243)	Data 0.047 (0.180)	Loss 4.9750 (5.0073)	Prec@1 5.859 (4.692)	Prec@5 18.359 (16.042)
Epoch: [12][5100/7045]	Time 0.384 (0.243)	Data 0.333 (0.180)	Loss 4.9284 (5.0072)	Prec@1 5.078 (4.694)	Prec@5 17.578 (16.044)
Epoch: [12][5110/7045]	Time 0.107 (0.243)	Data 0.055 (0.180)	Loss 4.9766 (5.0072)	Prec@1 3.906 (4.693)	Prec@5 16.016 (16.044)
Epoch: [12][5120/7045]	Time 0.506 (0.243)	Data 0.453 (0.180)	Loss 4.9514 (5.0072)	Prec@1 6.641 (4.693)	Prec@5 16.797 (16.044)
Epoch: [12][5130/7045]	Time 0.258 (0.243)	Data 0.207 (0.180)	Loss 5.0420 (5.0073)	Prec@1 3.906 (4.692)	Prec@5 14.062 (16.045)
Epoch: [12][5140/7045]	Time 0.268 (0.243)	Data 0.217 (0.180)	Loss 5.0652 (5.0074)	Prec@1 4.297 (4.690)	Prec@5 14.453 (16.042)
Epoch: [12][5150/7045]	Time 0.164 (0.243)	Data 0.112 (0.180)	Loss 4.8482 (5.0073)	Prec@1 6.250 (4.690)	Prec@5 19.531 (16.043)
Epoch: [12][5160/7045]	Time 0.179 (0.243)	Data 0.129 (0.180)	Loss 4.9976 (5.0072)	Prec@1 5.859 (4.690)	Prec@5 17.578 (16.044)
Epoch: [12][5170/7045]	Time 0.102 (0.243)	Data 0.010 (0.180)	Loss 4.9792 (5.0071)	Prec@1 5.469 (4.692)	Prec@5 16.797 (16.047)
Epoch: [12][5180/7045]	Time 0.101 (0.243)	Data 0.047 (0.180)	Loss 5.0304 (5.0070)	Prec@1 4.297 (4.692)	Prec@5 16.406 (16.048)
Epoch: [12][5190/7045]	Time 0.367 (0.243)	Data 0.314 (0.180)	Loss 4.9970 (5.0072)	Prec@1 5.859 (4.691)	Prec@5 16.797 (16.047)
Epoch: [12][5200/7045]	Time 0.101 (0.243)	Data 0.047 (0.180)	Loss 5.2278 (5.0075)	Prec@1 1.953 (4.690)	Prec@5 8.984 (16.040)
Epoch: [12][5210/7045]	Time 0.188 (0.243)	Data 0.138 (0.180)	Loss 5.0279 (5.0076)	Prec@1 5.469 (4.688)	Prec@5 16.797 (16.038)
Epoch: [12][5220/7045]	Time 0.308 (0.243)	Data 0.258 (0.180)	Loss 5.2360 (5.0078)	Prec@1 5.078 (4.688)	Prec@5 14.844 (16.035)
Epoch: [12][5230/7045]	Time 0.337 (0.243)	Data 0.284 (0.180)	Loss 5.0395 (5.0079)	Prec@1 5.469 (4.687)	Prec@5 17.578 (16.034)
Epoch: [12][5240/7045]	Time 0.593 (0.243)	Data 0.542 (0.180)	Loss 4.9432 (5.0080)	Prec@1 6.250 (4.689)	Prec@5 17.969 (16.033)
Epoch: [12][5250/7045]	Time 0.194 (0.243)	Data 0.143 (0.180)	Loss 5.0207 (5.0079)	Prec@1 4.297 (4.690)	Prec@5 14.062 (16.033)
Epoch: [12][5260/7045]	Time 0.582 (0.243)	Data 0.531 (0.180)	Loss 4.9713 (5.0078)	Prec@1 3.516 (4.690)	Prec@5 16.797 (16.035)
Epoch: [12][5270/7045]	Time 0.100 (0.243)	Data 0.048 (0.180)	Loss 4.8743 (5.0078)	Prec@1 4.688 (4.690)	Prec@5 17.969 (16.036)
Epoch: [12][5280/7045]	Time 0.463 (0.243)	Data 0.412 (0.180)	Loss 4.8914 (5.0077)	Prec@1 3.516 (4.690)	Prec@5 14.844 (16.038)
Epoch: [12][5290/7045]	Time 0.100 (0.243)	Data 0.046 (0.180)	Loss 4.8560 (5.0076)	Prec@1 8.594 (4.690)	Prec@5 16.016 (16.037)
Epoch: [12][5300/7045]	Time 0.241 (0.243)	Data 0.190 (0.180)	Loss 5.0350 (5.0076)	Prec@1 5.078 (4.691)	Prec@5 16.016 (16.037)
Epoch: [12][5310/7045]	Time 0.102 (0.243)	Data 0.001 (0.180)	Loss 4.8855 (5.0074)	Prec@1 5.078 (4.693)	Prec@5 14.844 (16.039)
Epoch: [12][5320/7045]	Time 0.239 (0.243)	Data 0.189 (0.180)	Loss 5.1590 (5.0074)	Prec@1 1.953 (4.691)	Prec@5 10.938 (16.037)
Epoch: [12][5330/7045]	Time 0.133 (0.243)	Data 0.081 (0.180)	Loss 4.9524 (5.0075)	Prec@1 6.250 (4.690)	Prec@5 17.188 (16.035)
Epoch: [12][5340/7045]	Time 0.215 (0.243)	Data 0.165 (0.180)	Loss 4.9628 (5.0075)	Prec@1 5.078 (4.689)	Prec@5 19.531 (16.036)
Epoch: [12][5350/7045]	Time 0.138 (0.243)	Data 0.086 (0.180)	Loss 4.9010 (5.0074)	Prec@1 7.031 (4.690)	Prec@5 19.922 (16.038)
Epoch: [12][5360/7045]	Time 0.107 (0.243)	Data 0.050 (0.180)	Loss 5.0040 (5.0073)	Prec@1 4.688 (4.690)	Prec@5 15.234 (16.039)
Epoch: [12][5370/7045]	Time 0.102 (0.243)	Data 0.049 (0.180)	Loss 4.9575 (5.0072)	Prec@1 5.859 (4.691)	Prec@5 16.797 (16.042)
Epoch: [12][5380/7045]	Time 0.130 (0.243)	Data 0.080 (0.180)	Loss 5.1081 (5.0073)	Prec@1 4.688 (4.691)	Prec@5 15.625 (16.044)
Epoch: [12][5390/7045]	Time 0.116 (0.243)	Data 0.064 (0.180)	Loss 4.9814 (5.0073)	Prec@1 5.469 (4.691)	Prec@5 16.406 (16.044)
Epoch: [12][5400/7045]	Time 0.108 (0.243)	Data 0.003 (0.180)	Loss 5.0312 (5.0073)	Prec@1 3.906 (4.691)	Prec@5 14.453 (16.044)
Epoch: [12][5410/7045]	Time 0.108 (0.243)	Data 0.055 (0.180)	Loss 5.0674 (5.0073)	Prec@1 5.469 (4.691)	Prec@5 16.016 (16.045)
Epoch: [12][5420/7045]	Time 0.165 (0.243)	Data 0.108 (0.180)	Loss 4.9846 (5.0073)	Prec@1 3.125 (4.690)	Prec@5 14.453 (16.043)
Epoch: [12][5430/7045]	Time 0.102 (0.243)	Data 0.001 (0.180)	Loss 4.9720 (5.0074)	Prec@1 4.297 (4.689)	Prec@5 18.359 (16.041)
Epoch: [12][5440/7045]	Time 0.120 (0.243)	Data 0.069 (0.180)	Loss 5.0812 (5.0075)	Prec@1 3.906 (4.689)	Prec@5 13.281 (16.042)
Epoch: [12][5450/7045]	Time 0.102 (0.243)	Data 0.002 (0.180)	Loss 5.0808 (5.0075)	Prec@1 3.906 (4.687)	Prec@5 12.891 (16.040)
Epoch: [12][5460/7045]	Time 0.108 (0.243)	Data 0.001 (0.180)	Loss 5.0615 (5.0075)	Prec@1 4.297 (4.687)	Prec@5 17.578 (16.042)
Epoch: [12][5470/7045]	Time 0.101 (0.243)	Data 0.001 (0.180)	Loss 5.0072 (5.0075)	Prec@1 6.641 (4.688)	Prec@5 19.922 (16.043)
Epoch: [12][5480/7045]	Time 0.106 (0.243)	Data 0.053 (0.180)	Loss 4.9692 (5.0074)	Prec@1 6.250 (4.690)	Prec@5 18.750 (16.045)
Epoch: [12][5490/7045]	Time 0.132 (0.243)	Data 0.082 (0.180)	Loss 5.0658 (5.0074)	Prec@1 5.469 (4.691)	Prec@5 14.062 (16.047)
Epoch: [12][5500/7045]	Time 0.108 (0.243)	Data 0.015 (0.180)	Loss 5.1394 (5.0074)	Prec@1 5.078 (4.691)	Prec@5 12.500 (16.048)
Epoch: [12][5510/7045]	Time 0.102 (0.243)	Data 0.044 (0.180)	Loss 4.8662 (5.0074)	Prec@1 5.469 (4.690)	Prec@5 18.359 (16.049)
Epoch: [12][5520/7045]	Time 0.106 (0.243)	Data 0.004 (0.180)	Loss 4.9980 (5.0073)	Prec@1 5.469 (4.691)	Prec@5 17.578 (16.050)
Epoch: [12][5530/7045]	Time 0.111 (0.243)	Data 0.058 (0.180)	Loss 5.0073 (5.0073)	Prec@1 4.297 (4.691)	Prec@5 16.797 (16.051)
Epoch: [12][5540/7045]	Time 0.109 (0.243)	Data 0.001 (0.180)	Loss 5.0461 (5.0073)	Prec@1 5.078 (4.692)	Prec@5 16.016 (16.050)
Epoch: [12][5550/7045]	Time 0.197 (0.243)	Data 0.147 (0.180)	Loss 5.0010 (5.0074)	Prec@1 4.688 (4.692)	Prec@5 17.188 (16.049)
Epoch: [12][5560/7045]	Time 0.101 (0.243)	Data 0.046 (0.180)	Loss 4.9625 (5.0074)	Prec@1 5.469 (4.693)	Prec@5 16.797 (16.050)
Epoch: [12][5570/7045]	Time 0.647 (0.243)	Data 0.590 (0.180)	Loss 4.8948 (5.0074)	Prec@1 3.516 (4.693)	Prec@5 18.750 (16.051)
Epoch: [12][5580/7045]	Time 0.098 (0.243)	Data 0.001 (0.180)	Loss 5.0047 (5.0074)	Prec@1 5.078 (4.693)	Prec@5 18.359 (16.050)
Epoch: [12][5590/7045]	Time 0.739 (0.243)	Data 0.681 (0.180)	Loss 4.9646 (5.0074)	Prec@1 5.469 (4.694)	Prec@5 17.188 (16.052)
Epoch: [12][5600/7045]	Time 0.178 (0.243)	Data 0.127 (0.180)	Loss 4.8949 (5.0074)	Prec@1 5.469 (4.694)	Prec@5 17.969 (16.053)
Epoch: [12][5610/7045]	Time 0.424 (0.243)	Data 0.366 (0.180)	Loss 5.0208 (5.0074)	Prec@1 3.906 (4.695)	Prec@5 14.062 (16.053)
Epoch: [12][5620/7045]	Time 0.107 (0.243)	Data 0.055 (0.180)	Loss 4.8807 (5.0075)	Prec@1 5.469 (4.694)	Prec@5 17.188 (16.051)
Epoch: [12][5630/7045]	Time 0.401 (0.243)	Data 0.350 (0.180)	Loss 4.9132 (5.0074)	Prec@1 5.859 (4.695)	Prec@5 18.750 (16.055)
Epoch: [12][5640/7045]	Time 0.108 (0.243)	Data 0.057 (0.180)	Loss 5.1046 (5.0074)	Prec@1 3.125 (4.695)	Prec@5 15.625 (16.058)
Epoch: [12][5650/7045]	Time 0.323 (0.243)	Data 0.272 (0.180)	Loss 5.1889 (5.0075)	Prec@1 5.469 (4.695)	Prec@5 14.062 (16.056)
Epoch: [12][5660/7045]	Time 0.104 (0.243)	Data 0.053 (0.180)	Loss 5.0246 (5.0074)	Prec@1 6.250 (4.697)	Prec@5 17.188 (16.057)
Epoch: [12][5670/7045]	Time 0.376 (0.243)	Data 0.325 (0.180)	Loss 5.0036 (5.0073)	Prec@1 6.641 (4.699)	Prec@5 17.188 (16.060)
Epoch: [12][5680/7045]	Time 0.102 (0.243)	Data 0.001 (0.180)	Loss 4.9807 (5.0072)	Prec@1 5.078 (4.700)	Prec@5 16.016 (16.063)
Epoch: [12][5690/7045]	Time 0.233 (0.243)	Data 0.181 (0.180)	Loss 5.0600 (5.0072)	Prec@1 8.203 (4.700)	Prec@5 16.016 (16.064)
Epoch: [12][5700/7045]	Time 0.101 (0.243)	Data 0.002 (0.180)	Loss 4.8557 (5.0071)	Prec@1 4.297 (4.701)	Prec@5 14.453 (16.066)
Epoch: [12][5710/7045]	Time 0.108 (0.243)	Data 0.056 (0.180)	Loss 4.9123 (5.0071)	Prec@1 7.422 (4.702)	Prec@5 18.750 (16.066)
Epoch: [12][5720/7045]	Time 0.102 (0.243)	Data 0.001 (0.180)	Loss 4.9729 (5.0071)	Prec@1 4.297 (4.702)	Prec@5 14.453 (16.067)
Epoch: [12][5730/7045]	Time 0.101 (0.243)	Data 0.004 (0.180)	Loss 4.9887 (5.0070)	Prec@1 6.641 (4.702)	Prec@5 15.234 (16.068)
Epoch: [12][5740/7045]	Time 0.100 (0.243)	Data 0.004 (0.180)	Loss 5.1194 (5.0069)	Prec@1 3.125 (4.704)	Prec@5 16.797 (16.071)
Epoch: [12][5750/7045]	Time 0.106 (0.243)	Data 0.001 (0.180)	Loss 4.9611 (5.0068)	Prec@1 6.641 (4.704)	Prec@5 18.359 (16.074)
Epoch: [12][5760/7045]	Time 0.102 (0.243)	Data 0.001 (0.180)	Loss 4.8670 (5.0068)	Prec@1 5.469 (4.704)	Prec@5 19.141 (16.074)
Epoch: [12][5770/7045]	Time 0.101 (0.243)	Data 0.007 (0.180)	Loss 5.2062 (5.0068)	Prec@1 1.562 (4.703)	Prec@5 11.328 (16.072)
Epoch: [12][5780/7045]	Time 0.101 (0.243)	Data 0.001 (0.180)	Loss 5.0083 (5.0068)	Prec@1 7.031 (4.703)	Prec@5 15.625 (16.074)
Epoch: [12][5790/7045]	Time 0.109 (0.243)	Data 0.004 (0.180)	Loss 4.9759 (5.0067)	Prec@1 5.859 (4.705)	Prec@5 16.797 (16.076)
Epoch: [12][5800/7045]	Time 0.102 (0.243)	Data 0.003 (0.180)	Loss 5.0588 (5.0068)	Prec@1 3.516 (4.704)	Prec@5 15.234 (16.076)
Epoch: [12][5810/7045]	Time 0.111 (0.243)	Data 0.006 (0.180)	Loss 5.0575 (5.0069)	Prec@1 5.078 (4.704)	Prec@5 11.719 (16.073)
Epoch: [12][5820/7045]	Time 0.101 (0.243)	Data 0.002 (0.180)	Loss 4.9901 (5.0070)	Prec@1 6.250 (4.705)	Prec@5 18.750 (16.074)
Epoch: [12][5830/7045]	Time 0.108 (0.243)	Data 0.001 (0.180)	Loss 4.8770 (5.0070)	Prec@1 5.078 (4.705)	Prec@5 17.188 (16.074)
Epoch: [12][5840/7045]	Time 0.103 (0.243)	Data 0.001 (0.180)	Loss 4.9770 (5.0070)	Prec@1 7.031 (4.704)	Prec@5 18.750 (16.075)
Epoch: [12][5850/7045]	Time 0.101 (0.243)	Data 0.005 (0.180)	Loss 4.9184 (5.0069)	Prec@1 5.859 (4.704)	Prec@5 19.922 (16.074)
Epoch: [12][5860/7045]	Time 0.108 (0.243)	Data 0.056 (0.180)	Loss 5.0657 (5.0070)	Prec@1 4.297 (4.703)	Prec@5 13.672 (16.074)
Epoch: [12][5870/7045]	Time 0.101 (0.243)	Data 0.004 (0.180)	Loss 5.0119 (5.0069)	Prec@1 4.688 (4.703)	Prec@5 15.625 (16.076)
Epoch: [12][5880/7045]	Time 0.102 (0.243)	Data 0.001 (0.180)	Loss 4.8859 (5.0068)	Prec@1 7.031 (4.704)	Prec@5 19.141 (16.078)
Epoch: [12][5890/7045]	Time 0.108 (0.243)	Data 0.003 (0.180)	Loss 5.0575 (5.0069)	Prec@1 3.516 (4.704)	Prec@5 15.625 (16.076)
Epoch: [12][5900/7045]	Time 0.104 (0.243)	Data 0.001 (0.180)	Loss 5.0731 (5.0069)	Prec@1 3.906 (4.702)	Prec@5 12.891 (16.074)
Epoch: [12][5910/7045]	Time 0.107 (0.243)	Data 0.001 (0.180)	Loss 5.0580 (5.0068)	Prec@1 3.906 (4.703)	Prec@5 13.281 (16.076)
Epoch: [12][5920/7045]	Time 0.101 (0.243)	Data 0.001 (0.180)	Loss 5.0400 (5.0068)	Prec@1 3.906 (4.704)	Prec@5 14.844 (16.077)
Epoch: [12][5930/7045]	Time 0.102 (0.243)	Data 0.001 (0.180)	Loss 4.8068 (5.0067)	Prec@1 5.859 (4.705)	Prec@5 18.359 (16.079)
Epoch: [12][5940/7045]	Time 0.119 (0.243)	Data 0.068 (0.180)	Loss 4.9305 (5.0067)	Prec@1 5.469 (4.706)	Prec@5 17.578 (16.079)
Epoch: [12][5950/7045]	Time 0.103 (0.243)	Data 0.004 (0.180)	Loss 5.0430 (5.0068)	Prec@1 5.469 (4.705)	Prec@5 14.062 (16.077)
Epoch: [12][5960/7045]	Time 0.370 (0.243)	Data 0.320 (0.180)	Loss 4.8787 (5.0068)	Prec@1 4.688 (4.705)	Prec@5 16.406 (16.077)
Epoch: [12][5970/7045]	Time 0.102 (0.243)	Data 0.002 (0.180)	Loss 4.8359 (5.0067)	Prec@1 5.469 (4.706)	Prec@5 17.188 (16.079)
Epoch: [12][5980/7045]	Time 0.485 (0.243)	Data 0.429 (0.180)	Loss 4.8466 (5.0065)	Prec@1 2.734 (4.707)	Prec@5 16.016 (16.081)
Epoch: [12][5990/7045]	Time 0.099 (0.243)	Data 0.001 (0.180)	Loss 5.0247 (5.0064)	Prec@1 5.469 (4.709)	Prec@5 14.844 (16.083)
Epoch: [12][6000/7045]	Time 0.511 (0.243)	Data 0.461 (0.180)	Loss 4.9565 (5.0064)	Prec@1 4.297 (4.709)	Prec@5 15.234 (16.082)
Epoch: [12][6010/7045]	Time 0.259 (0.243)	Data 0.209 (0.180)	Loss 4.9968 (5.0063)	Prec@1 3.906 (4.709)	Prec@5 15.234 (16.083)
Epoch: [12][6020/7045]	Time 0.313 (0.243)	Data 0.262 (0.180)	Loss 4.8111 (5.0062)	Prec@1 4.297 (4.709)	Prec@5 21.875 (16.084)
Epoch: [12][6030/7045]	Time 0.453 (0.243)	Data 0.402 (0.180)	Loss 4.9301 (5.0061)	Prec@1 5.078 (4.710)	Prec@5 16.016 (16.086)
Epoch: [12][6040/7045]	Time 0.173 (0.243)	Data 0.122 (0.180)	Loss 5.1600 (5.0061)	Prec@1 6.250 (4.711)	Prec@5 13.281 (16.086)
Epoch: [12][6050/7045]	Time 0.453 (0.243)	Data 0.402 (0.180)	Loss 4.8904 (5.0061)	Prec@1 4.688 (4.711)	Prec@5 18.750 (16.087)
Epoch: [12][6060/7045]	Time 0.102 (0.243)	Data 0.005 (0.180)	Loss 5.0369 (5.0061)	Prec@1 3.516 (4.711)	Prec@5 15.625 (16.087)
Epoch: [12][6070/7045]	Time 0.415 (0.243)	Data 0.364 (0.180)	Loss 5.1583 (5.0062)	Prec@1 4.297 (4.710)	Prec@5 14.453 (16.085)
Epoch: [12][6080/7045]	Time 0.295 (0.243)	Data 0.243 (0.180)	Loss 4.9621 (5.0062)	Prec@1 3.906 (4.710)	Prec@5 14.453 (16.084)
Epoch: [12][6090/7045]	Time 0.285 (0.243)	Data 0.233 (0.180)	Loss 4.8684 (5.0061)	Prec@1 5.859 (4.710)	Prec@5 17.188 (16.083)
Epoch: [12][6100/7045]	Time 0.226 (0.243)	Data 0.175 (0.180)	Loss 5.0854 (5.0061)	Prec@1 3.516 (4.710)	Prec@5 14.062 (16.084)
Epoch: [12][6110/7045]	Time 0.128 (0.243)	Data 0.076 (0.180)	Loss 4.8979 (5.0060)	Prec@1 7.812 (4.712)	Prec@5 19.141 (16.085)
Epoch: [12][6120/7045]	Time 0.215 (0.243)	Data 0.162 (0.180)	Loss 5.0755 (5.0059)	Prec@1 5.078 (4.711)	Prec@5 14.844 (16.086)
Epoch: [12][6130/7045]	Time 0.187 (0.243)	Data 0.136 (0.180)	Loss 4.9689 (5.0060)	Prec@1 3.906 (4.711)	Prec@5 17.188 (16.085)
Epoch: [12][6140/7045]	Time 0.112 (0.243)	Data 0.061 (0.180)	Loss 5.0711 (5.0060)	Prec@1 3.906 (4.710)	Prec@5 12.500 (16.083)
Epoch: [12][6150/7045]	Time 0.182 (0.243)	Data 0.132 (0.180)	Loss 5.0742 (5.0062)	Prec@1 3.906 (4.709)	Prec@5 10.547 (16.080)
Epoch: [12][6160/7045]	Time 0.111 (0.243)	Data 0.059 (0.180)	Loss 4.9395 (5.0062)	Prec@1 4.297 (4.708)	Prec@5 20.312 (16.082)
Epoch: [12][6170/7045]	Time 0.183 (0.243)	Data 0.132 (0.180)	Loss 4.9512 (5.0061)	Prec@1 7.422 (4.710)	Prec@5 20.312 (16.083)
Epoch: [12][6180/7045]	Time 0.175 (0.243)	Data 0.120 (0.180)	Loss 4.9548 (5.0060)	Prec@1 5.469 (4.710)	Prec@5 18.359 (16.084)
Epoch: [12][6190/7045]	Time 0.184 (0.243)	Data 0.128 (0.180)	Loss 5.0628 (5.0059)	Prec@1 5.078 (4.711)	Prec@5 13.281 (16.084)
Epoch: [12][6200/7045]	Time 0.107 (0.243)	Data 0.055 (0.180)	Loss 5.0150 (5.0059)	Prec@1 5.078 (4.712)	Prec@5 17.969 (16.085)
Epoch: [12][6210/7045]	Time 0.251 (0.243)	Data 0.191 (0.180)	Loss 4.9825 (5.0060)	Prec@1 6.250 (4.711)	Prec@5 14.453 (16.084)
Epoch: [12][6220/7045]	Time 0.198 (0.243)	Data 0.147 (0.180)	Loss 5.0170 (5.0060)	Prec@1 2.734 (4.712)	Prec@5 14.062 (16.084)
Epoch: [12][6230/7045]	Time 0.301 (0.243)	Data 0.250 (0.180)	Loss 4.8284 (5.0059)	Prec@1 6.641 (4.713)	Prec@5 21.094 (16.087)
Epoch: [12][6240/7045]	Time 0.102 (0.243)	Data 0.045 (0.180)	Loss 4.8528 (5.0057)	Prec@1 6.250 (4.713)	Prec@5 19.531 (16.090)
Epoch: [12][6250/7045]	Time 0.277 (0.243)	Data 0.226 (0.180)	Loss 4.7724 (5.0056)	Prec@1 6.250 (4.715)	Prec@5 20.312 (16.093)
Epoch: [12][6260/7045]	Time 0.179 (0.243)	Data 0.127 (0.180)	Loss 5.0208 (5.0056)	Prec@1 3.516 (4.716)	Prec@5 15.625 (16.094)
Epoch: [12][6270/7045]	Time 0.193 (0.243)	Data 0.142 (0.180)	Loss 4.8431 (5.0055)	Prec@1 5.078 (4.716)	Prec@5 19.141 (16.094)
Epoch: [12][6280/7045]	Time 0.196 (0.243)	Data 0.145 (0.180)	Loss 5.0212 (5.0055)	Prec@1 4.297 (4.715)	Prec@5 17.188 (16.093)
Epoch: [12][6290/7045]	Time 0.102 (0.243)	Data 0.050 (0.180)	Loss 5.0115 (5.0055)	Prec@1 3.516 (4.715)	Prec@5 12.500 (16.092)
Epoch: [12][6300/7045]	Time 0.181 (0.243)	Data 0.129 (0.180)	Loss 4.9618 (5.0055)	Prec@1 9.766 (4.716)	Prec@5 19.141 (16.092)
Epoch: [12][6310/7045]	Time 0.102 (0.243)	Data 0.001 (0.180)	Loss 5.0384 (5.0054)	Prec@1 2.734 (4.716)	Prec@5 13.281 (16.093)
Epoch: [12][6320/7045]	Time 0.317 (0.243)	Data 0.265 (0.180)	Loss 5.0858 (5.0053)	Prec@1 4.297 (4.717)	Prec@5 14.062 (16.095)
Epoch: [12][6330/7045]	Time 0.102 (0.243)	Data 0.045 (0.180)	Loss 4.9794 (5.0053)	Prec@1 4.297 (4.717)	Prec@5 21.094 (16.098)
Epoch: [12][6340/7045]	Time 0.391 (0.243)	Data 0.338 (0.180)	Loss 4.9568 (5.0052)	Prec@1 5.469 (4.718)	Prec@5 18.750 (16.100)
Epoch: [12][6350/7045]	Time 0.135 (0.243)	Data 0.083 (0.180)	Loss 5.0021 (5.0051)	Prec@1 3.906 (4.718)	Prec@5 17.578 (16.101)
Epoch: [12][6360/7045]	Time 0.503 (0.243)	Data 0.452 (0.180)	Loss 4.8811 (5.0051)	Prec@1 5.078 (4.719)	Prec@5 19.922 (16.101)
Epoch: [12][6370/7045]	Time 0.101 (0.243)	Data 0.046 (0.180)	Loss 5.0349 (5.0051)	Prec@1 3.125 (4.719)	Prec@5 13.281 (16.101)
Epoch: [12][6380/7045]	Time 0.518 (0.243)	Data 0.466 (0.180)	Loss 5.0763 (5.0051)	Prec@1 3.516 (4.719)	Prec@5 14.062 (16.101)
Epoch: [12][6390/7045]	Time 0.107 (0.243)	Data 0.006 (0.180)	Loss 5.0521 (5.0051)	Prec@1 3.516 (4.718)	Prec@5 15.234 (16.100)
Epoch: [12][6400/7045]	Time 0.476 (0.243)	Data 0.426 (0.180)	Loss 5.1072 (5.0051)	Prec@1 4.297 (4.718)	Prec@5 14.844 (16.100)
Epoch: [12][6410/7045]	Time 0.108 (0.243)	Data 0.056 (0.180)	Loss 4.9951 (5.0050)	Prec@1 4.297 (4.719)	Prec@5 16.797 (16.103)
Epoch: [12][6420/7045]	Time 0.438 (0.243)	Data 0.387 (0.180)	Loss 5.1264 (5.0051)	Prec@1 5.469 (4.719)	Prec@5 13.672 (16.101)
Epoch: [12][6430/7045]	Time 0.201 (0.243)	Data 0.149 (0.180)	Loss 5.0494 (5.0052)	Prec@1 3.906 (4.719)	Prec@5 15.625 (16.099)
Epoch: [12][6440/7045]	Time 0.605 (0.243)	Data 0.549 (0.180)	Loss 4.8910 (5.0052)	Prec@1 2.734 (4.719)	Prec@5 18.359 (16.099)
Epoch: [12][6450/7045]	Time 0.161 (0.243)	Data 0.110 (0.180)	Loss 4.9234 (5.0053)	Prec@1 6.641 (4.719)	Prec@5 18.359 (16.099)
Epoch: [12][6460/7045]	Time 0.525 (0.243)	Data 0.475 (0.180)	Loss 4.9725 (5.0053)	Prec@1 5.469 (4.719)	Prec@5 15.625 (16.100)
Epoch: [12][6470/7045]	Time 0.186 (0.243)	Data 0.135 (0.180)	Loss 5.0843 (5.0053)	Prec@1 4.297 (4.720)	Prec@5 12.891 (16.100)
Epoch: [12][6480/7045]	Time 0.470 (0.243)	Data 0.410 (0.180)	Loss 5.0944 (5.0052)	Prec@1 3.906 (4.719)	Prec@5 12.891 (16.101)
Epoch: [12][6490/7045]	Time 0.173 (0.243)	Data 0.123 (0.180)	Loss 4.9874 (5.0051)	Prec@1 3.125 (4.719)	Prec@5 13.672 (16.100)
Epoch: [12][6500/7045]	Time 0.498 (0.243)	Data 0.443 (0.180)	Loss 5.0165 (5.0051)	Prec@1 4.688 (4.719)	Prec@5 16.406 (16.102)
Epoch: [12][6510/7045]	Time 0.270 (0.243)	Data 0.220 (0.180)	Loss 4.9114 (5.0049)	Prec@1 5.859 (4.719)	Prec@5 18.750 (16.105)
Epoch: [12][6520/7045]	Time 0.515 (0.243)	Data 0.465 (0.180)	Loss 5.0141 (5.0051)	Prec@1 5.078 (4.718)	Prec@5 14.844 (16.104)
Epoch: [12][6530/7045]	Time 0.148 (0.243)	Data 0.091 (0.179)	Loss 4.9134 (5.0051)	Prec@1 6.641 (4.719)	Prec@5 18.359 (16.103)
Epoch: [12][6540/7045]	Time 0.508 (0.243)	Data 0.458 (0.179)	Loss 5.1314 (5.0050)	Prec@1 2.734 (4.720)	Prec@5 13.672 (16.106)
Epoch: [12][6550/7045]	Time 0.274 (0.243)	Data 0.224 (0.179)	Loss 5.1204 (5.0050)	Prec@1 5.469 (4.720)	Prec@5 14.062 (16.107)
Epoch: [12][6560/7045]	Time 0.478 (0.243)	Data 0.422 (0.179)	Loss 4.9517 (5.0050)	Prec@1 5.859 (4.720)	Prec@5 16.406 (16.106)
Epoch: [12][6570/7045]	Time 0.256 (0.243)	Data 0.198 (0.179)	Loss 5.0948 (5.0049)	Prec@1 5.469 (4.720)	Prec@5 16.797 (16.108)
Epoch: [12][6580/7045]	Time 0.442 (0.243)	Data 0.391 (0.180)	Loss 4.9791 (5.0048)	Prec@1 5.469 (4.720)	Prec@5 17.969 (16.109)
Epoch: [12][6590/7045]	Time 0.304 (0.243)	Data 0.247 (0.179)	Loss 5.1871 (5.0048)	Prec@1 4.297 (4.721)	Prec@5 14.453 (16.112)
Epoch: [12][6600/7045]	Time 0.432 (0.243)	Data 0.381 (0.180)	Loss 4.9423 (5.0048)	Prec@1 4.688 (4.721)	Prec@5 18.359 (16.112)
Epoch: [12][6610/7045]	Time 0.252 (0.243)	Data 0.194 (0.180)	Loss 4.7603 (5.0047)	Prec@1 5.078 (4.721)	Prec@5 21.484 (16.113)
Epoch: [12][6620/7045]	Time 0.495 (0.243)	Data 0.443 (0.180)	Loss 4.9962 (5.0046)	Prec@1 5.859 (4.721)	Prec@5 17.578 (16.117)
Epoch: [12][6630/7045]	Time 0.286 (0.243)	Data 0.235 (0.180)	Loss 5.0087 (5.0045)	Prec@1 5.469 (4.722)	Prec@5 16.797 (16.118)
Epoch: [12][6640/7045]	Time 0.433 (0.243)	Data 0.382 (0.179)	Loss 4.8491 (5.0044)	Prec@1 7.031 (4.724)	Prec@5 17.969 (16.121)
Epoch: [12][6650/7045]	Time 0.306 (0.243)	Data 0.255 (0.179)	Loss 4.8574 (5.0044)	Prec@1 4.297 (4.724)	Prec@5 18.359 (16.122)
Epoch: [12][6660/7045]	Time 0.479 (0.243)	Data 0.428 (0.180)	Loss 5.0510 (5.0044)	Prec@1 4.297 (4.724)	Prec@5 15.234 (16.121)
Epoch: [12][6670/7045]	Time 0.183 (0.243)	Data 0.127 (0.179)	Loss 4.8037 (5.0043)	Prec@1 5.469 (4.725)	Prec@5 20.312 (16.124)
Epoch: [12][6680/7045]	Time 0.479 (0.243)	Data 0.428 (0.180)	Loss 5.0265 (5.0043)	Prec@1 5.469 (4.725)	Prec@5 16.406 (16.125)
Epoch: [12][6690/7045]	Time 0.125 (0.243)	Data 0.074 (0.180)	Loss 5.0925 (5.0044)	Prec@1 5.859 (4.726)	Prec@5 14.844 (16.124)
Epoch: [12][6700/7045]	Time 0.535 (0.243)	Data 0.483 (0.180)	Loss 4.7885 (5.0044)	Prec@1 7.812 (4.726)	Prec@5 21.875 (16.123)
Epoch: [12][6710/7045]	Time 0.102 (0.243)	Data 0.004 (0.180)	Loss 4.8861 (5.0044)	Prec@1 7.031 (4.727)	Prec@5 17.969 (16.123)
Epoch: [12][6720/7045]	Time 0.403 (0.243)	Data 0.352 (0.180)	Loss 4.8907 (5.0044)	Prec@1 4.297 (4.727)	Prec@5 19.141 (16.126)
Epoch: [12][6730/7045]	Time 0.102 (0.243)	Data 0.001 (0.180)	Loss 4.8910 (5.0044)	Prec@1 8.203 (4.727)	Prec@5 17.969 (16.125)
Epoch: [12][6740/7045]	Time 0.292 (0.243)	Data 0.240 (0.180)	Loss 5.0520 (5.0044)	Prec@1 4.688 (4.726)	Prec@5 12.500 (16.124)
Epoch: [12][6750/7045]	Time 0.102 (0.243)	Data 0.001 (0.180)	Loss 4.9042 (5.0044)	Prec@1 2.734 (4.726)	Prec@5 17.188 (16.124)
Epoch: [12][6760/7045]	Time 0.351 (0.243)	Data 0.299 (0.180)	Loss 4.9790 (5.0044)	Prec@1 5.469 (4.726)	Prec@5 17.188 (16.122)
Epoch: [12][6770/7045]	Time 0.103 (0.242)	Data 0.001 (0.180)	Loss 4.9563 (5.0043)	Prec@1 1.953 (4.726)	Prec@5 12.500 (16.125)
Epoch: [12][6780/7045]	Time 0.336 (0.242)	Data 0.284 (0.180)	Loss 4.9392 (5.0042)	Prec@1 4.688 (4.729)	Prec@5 15.234 (16.128)
Epoch: [12][6790/7045]	Time 0.108 (0.242)	Data 0.045 (0.180)	Loss 5.1105 (5.0042)	Prec@1 5.859 (4.729)	Prec@5 14.062 (16.130)
Epoch: [12][6800/7045]	Time 0.285 (0.242)	Data 0.234 (0.180)	Loss 5.0183 (5.0042)	Prec@1 4.297 (4.729)	Prec@5 14.062 (16.128)
Epoch: [12][6810/7045]	Time 0.101 (0.242)	Data 0.005 (0.180)	Loss 4.9795 (5.0042)	Prec@1 5.469 (4.729)	Prec@5 18.359 (16.127)
Epoch: [12][6820/7045]	Time 0.228 (0.242)	Data 0.177 (0.180)	Loss 5.0759 (5.0042)	Prec@1 5.469 (4.728)	Prec@5 17.188 (16.127)
Epoch: [12][6830/7045]	Time 0.102 (0.242)	Data 0.047 (0.180)	Loss 4.8564 (5.0042)	Prec@1 5.469 (4.729)	Prec@5 23.047 (16.128)
Epoch: [12][6840/7045]	Time 0.268 (0.242)	Data 0.217 (0.180)	Loss 5.0153 (5.0042)	Prec@1 4.688 (4.729)	Prec@5 16.406 (16.129)
Epoch: [12][6850/7045]	Time 0.101 (0.242)	Data 0.045 (0.180)	Loss 5.0095 (5.0041)	Prec@1 6.641 (4.729)	Prec@5 17.578 (16.129)
Epoch: [12][6860/7045]	Time 0.356 (0.242)	Data 0.306 (0.180)	Loss 4.8793 (5.0040)	Prec@1 5.469 (4.730)	Prec@5 17.969 (16.131)
Epoch: [12][6870/7045]	Time 0.220 (0.242)	Data 0.169 (0.180)	Loss 4.8543 (5.0040)	Prec@1 4.688 (4.730)	Prec@5 18.750 (16.132)
Epoch: [12][6880/7045]	Time 0.294 (0.242)	Data 0.242 (0.180)	Loss 4.9729 (5.0039)	Prec@1 5.078 (4.730)	Prec@5 16.406 (16.134)
Epoch: [12][6890/7045]	Time 0.266 (0.242)	Data 0.214 (0.180)	Loss 4.9659 (5.0038)	Prec@1 5.078 (4.731)	Prec@5 21.484 (16.136)
Epoch: [12][6900/7045]	Time 0.131 (0.242)	Data 0.080 (0.180)	Loss 5.0262 (5.0039)	Prec@1 3.516 (4.730)	Prec@5 16.016 (16.135)
Epoch: [12][6910/7045]	Time 0.273 (0.242)	Data 0.222 (0.180)	Loss 5.0993 (5.0039)	Prec@1 4.688 (4.729)	Prec@5 13.672 (16.133)
Epoch: [12][6920/7045]	Time 0.179 (0.242)	Data 0.127 (0.180)	Loss 4.9211 (5.0039)	Prec@1 6.250 (4.728)	Prec@5 17.969 (16.134)
Epoch: [12][6930/7045]	Time 0.448 (0.242)	Data 0.397 (0.180)	Loss 5.1960 (5.0041)	Prec@1 3.516 (4.728)	Prec@5 16.406 (16.132)
Epoch: [12][6940/7045]	Time 0.156 (0.242)	Data 0.103 (0.180)	Loss 4.9616 (5.0042)	Prec@1 7.422 (4.728)	Prec@5 16.406 (16.129)
Epoch: [12][6950/7045]	Time 0.385 (0.242)	Data 0.334 (0.180)	Loss 4.9755 (5.0042)	Prec@1 5.078 (4.728)	Prec@5 12.109 (16.129)
Epoch: [12][6960/7045]	Time 0.130 (0.242)	Data 0.078 (0.180)	Loss 5.1222 (5.0043)	Prec@1 5.078 (4.729)	Prec@5 12.891 (16.128)
Epoch: [12][6970/7045]	Time 0.534 (0.242)	Data 0.483 (0.180)	Loss 5.0602 (5.0044)	Prec@1 3.125 (4.728)	Prec@5 16.016 (16.127)
Epoch: [12][6980/7045]	Time 0.102 (0.242)	Data 0.001 (0.180)	Loss 5.0792 (5.0044)	Prec@1 5.078 (4.729)	Prec@5 14.453 (16.126)
Epoch: [12][6990/7045]	Time 0.583 (0.242)	Data 0.532 (0.180)	Loss 4.9838 (5.0045)	Prec@1 3.906 (4.728)	Prec@5 14.453 (16.125)
Epoch: [12][7000/7045]	Time 0.155 (0.242)	Data 0.103 (0.180)	Loss 5.0292 (5.0046)	Prec@1 5.859 (4.728)	Prec@5 17.969 (16.124)
Epoch: [12][7010/7045]	Time 0.662 (0.242)	Data 0.605 (0.180)	Loss 5.1200 (5.0047)	Prec@1 4.688 (4.727)	Prec@5 14.062 (16.122)
Epoch: [12][7020/7045]	Time 0.099 (0.242)	Data 0.001 (0.180)	Loss 5.0803 (5.0048)	Prec@1 3.125 (4.726)	Prec@5 12.109 (16.120)
Epoch: [12][7030/7045]	Time 0.603 (0.242)	Data 0.546 (0.180)	Loss 5.0359 (5.0048)	Prec@1 5.469 (4.726)	Prec@5 17.578 (16.119)
Epoch: [12][7040/7045]	Time 0.102 (0.242)	Data 0.045 (0.180)	Loss 4.8615 (5.0048)	Prec@1 6.250 (4.726)	Prec@5 20.703 (16.119)
Test: [0/143]	Time 1.338 (1.338)	Loss 4.8853 (4.8853)	Prec@1 4.297 (4.297)	Prec@5 18.750 (18.750)
Test: [10/143]	Time 0.188 (0.249)	Loss 4.5022 (4.9457)	Prec@1 7.422 (3.018)	Prec@5 32.031 (15.234)
Test: [20/143]	Time 0.357 (0.219)	Loss 4.9935 (4.8510)	Prec@1 7.031 (4.818)	Prec@5 23.047 (19.345)
Test: [30/143]	Time 0.139 (0.202)	Loss 4.7247 (4.8452)	Prec@1 10.156 (5.532)	Prec@5 23.047 (19.531)
Test: [40/143]	Time 0.140 (0.196)	Loss 5.1791 (4.8218)	Prec@1 0.000 (5.974)	Prec@5 5.078 (20.065)
Test: [50/143]	Time 0.150 (0.191)	Loss 4.5361 (4.8267)	Prec@1 14.453 (6.036)	Prec@5 25.000 (19.661)
Test: [60/143]	Time 0.138 (0.187)	Loss 5.0883 (4.8021)	Prec@1 0.781 (6.538)	Prec@5 10.547 (20.492)
Test: [70/143]	Time 0.216 (0.185)	Loss 4.9346 (4.8014)	Prec@1 1.953 (6.294)	Prec@5 14.453 (20.158)
Test: [80/143]	Time 0.124 (0.183)	Loss 4.2854 (4.8132)	Prec@1 12.500 (6.197)	Prec@5 46.484 (20.158)
Test: [90/143]	Time 0.189 (0.182)	Loss 4.6876 (4.8092)	Prec@1 8.594 (6.426)	Prec@5 26.953 (20.609)
Test: [100/143]	Time 0.130 (0.180)	Loss 4.6239 (4.8005)	Prec@1 3.516 (6.443)	Prec@5 27.344 (21.013)
Test: [110/143]	Time 0.164 (0.179)	Loss 4.6499 (4.7970)	Prec@1 10.547 (6.510)	Prec@5 29.688 (21.171)
Test: [120/143]	Time 0.129 (0.178)	Loss 4.6221 (4.7905)	Prec@1 2.734 (6.628)	Prec@5 25.000 (21.426)
Test: [130/143]	Time 0.113 (0.178)	Loss 4.7438 (4.7939)	Prec@1 8.984 (6.438)	Prec@5 24.609 (21.124)
Test: [140/143]	Time 0.152 (0.177)	Loss 5.3746 (4.8058)	Prec@1 0.391 (6.341)	Prec@5 4.297 (20.703)
 * Prec@1 6.342 Prec@5 20.732
Epoch: [13][0/7045]	Time 2.473 (2.473)	Data 2.420 (2.420)	Loss 5.0226 (5.0226)	Prec@1 3.906 (3.906)	Prec@5 17.578 (17.578)
Epoch: [13][10/7045]	Time 0.183 (0.438)	Data 0.133 (0.372)	Loss 5.2379 (5.0252)	Prec@1 2.734 (4.972)	Prec@5 11.719 (16.051)
Epoch: [13][20/7045]	Time 0.183 (0.358)	Data 0.133 (0.299)	Loss 4.9543 (5.0171)	Prec@1 5.469 (4.836)	Prec@5 19.531 (16.369)
Epoch: [13][30/7045]	Time 0.271 (0.325)	Data 0.218 (0.265)	Loss 4.8446 (5.0236)	Prec@1 7.031 (4.662)	Prec@5 17.578 (15.650)
Epoch: [13][40/7045]	Time 0.200 (0.308)	Data 0.150 (0.250)	Loss 4.9465 (5.0140)	Prec@1 5.078 (4.754)	Prec@5 16.406 (15.863)
Epoch: [13][50/7045]	Time 0.172 (0.296)	Data 0.121 (0.239)	Loss 4.9297 (5.0103)	Prec@1 2.344 (4.756)	Prec@5 13.672 (16.039)
Epoch: [13][60/7045]	Time 0.240 (0.288)	Data 0.189 (0.231)	Loss 5.0150 (5.0147)	Prec@1 1.953 (4.636)	Prec@5 12.891 (15.836)
Epoch: [13][70/7045]	Time 0.390 (0.284)	Data 0.338 (0.227)	Loss 5.0713 (5.0121)	Prec@1 2.344 (4.577)	Prec@5 10.938 (15.884)
Epoch: [13][80/7045]	Time 0.102 (0.278)	Data 0.008 (0.220)	Loss 4.9125 (5.0149)	Prec@1 4.688 (4.519)	Prec@5 14.844 (15.799)
Epoch: [13][90/7045]	Time 0.389 (0.275)	Data 0.338 (0.218)	Loss 4.9634 (5.0141)	Prec@1 5.078 (4.559)	Prec@5 17.188 (15.835)
Epoch: [13][100/7045]	Time 0.257 (0.272)	Data 0.207 (0.215)	Loss 5.0857 (5.0131)	Prec@1 3.125 (4.541)	Prec@5 14.844 (15.799)
Epoch: [13][110/7045]	Time 0.102 (0.269)	Data 0.002 (0.212)	Loss 4.9531 (5.0120)	Prec@1 4.297 (4.540)	Prec@5 16.016 (15.741)
Epoch: [13][120/7045]	Time 0.221 (0.266)	Data 0.171 (0.210)	Loss 5.0410 (5.0114)	Prec@1 4.297 (4.591)	Prec@5 11.719 (15.741)
Epoch: [13][130/7045]	Time 0.346 (0.267)	Data 0.287 (0.209)	Loss 4.8903 (5.0071)	Prec@1 6.641 (4.634)	Prec@5 16.797 (15.864)
Epoch: [13][140/7045]	Time 0.107 (0.263)	Data 0.056 (0.206)	Loss 4.8800 (5.0025)	Prec@1 5.859 (4.629)	Prec@5 18.750 (15.919)
Epoch: [13][150/7045]	Time 0.341 (0.263)	Data 0.291 (0.206)	Loss 4.9117 (5.0028)	Prec@1 5.859 (4.618)	Prec@5 15.234 (15.951)
Epoch: [13][160/7045]	Time 0.488 (0.262)	Data 0.438 (0.206)	Loss 5.0084 (5.0025)	Prec@1 5.469 (4.603)	Prec@5 18.359 (15.926)
Epoch: [13][170/7045]	Time 0.236 (0.260)	Data 0.185 (0.203)	Loss 4.8960 (5.0009)	Prec@1 5.859 (4.592)	Prec@5 20.312 (15.936)
Epoch: [13][180/7045]	Time 0.487 (0.260)	Data 0.436 (0.203)	Loss 5.0679 (4.9996)	Prec@1 3.125 (4.618)	Prec@5 15.625 (15.962)
Epoch: [13][190/7045]	Time 0.101 (0.259)	Data 0.001 (0.202)	Loss 4.9763 (4.9995)	Prec@1 3.906 (4.581)	Prec@5 17.188 (15.971)
Epoch: [13][200/7045]	Time 0.486 (0.258)	Data 0.435 (0.201)	Loss 4.9785 (4.9979)	Prec@1 4.297 (4.584)	Prec@5 12.891 (16.006)
Epoch: [13][210/7045]	Time 0.101 (0.257)	Data 0.001 (0.199)	Loss 4.9586 (4.9985)	Prec@1 5.078 (4.582)	Prec@5 16.016 (15.992)
Epoch: [13][220/7045]	Time 0.102 (0.257)	Data 0.004 (0.199)	Loss 5.1231 (4.9978)	Prec@1 5.078 (4.619)	Prec@5 15.625 (16.033)
Epoch: [13][230/7045]	Time 0.102 (0.255)	Data 0.049 (0.197)	Loss 5.1023 (4.9967)	Prec@1 3.125 (4.628)	Prec@5 14.453 (16.077)
Epoch: [13][240/7045]	Time 0.243 (0.256)	Data 0.192 (0.197)	Loss 4.9553 (4.9954)	Prec@1 4.688 (4.675)	Prec@5 17.969 (16.093)
Epoch: [13][250/7045]	Time 0.217 (0.255)	Data 0.166 (0.196)	Loss 4.9913 (4.9942)	Prec@1 4.297 (4.678)	Prec@5 14.453 (16.114)
Epoch: [13][260/7045]	Time 0.205 (0.255)	Data 0.146 (0.195)	Loss 5.0687 (4.9933)	Prec@1 3.516 (4.705)	Prec@5 14.844 (16.137)
Epoch: [13][270/7045]	Time 0.738 (0.255)	Data 0.688 (0.196)	Loss 5.0252 (4.9940)	Prec@1 5.469 (4.711)	Prec@5 15.625 (16.135)
Epoch: [13][280/7045]	Time 0.101 (0.254)	Data 0.001 (0.194)	Loss 5.0151 (4.9933)	Prec@1 4.688 (4.726)	Prec@5 11.719 (16.138)
Epoch: [13][290/7045]	Time 0.550 (0.255)	Data 0.498 (0.195)	Loss 4.8858 (4.9944)	Prec@1 5.859 (4.704)	Prec@5 15.234 (16.128)
Epoch: [13][300/7045]	Time 0.177 (0.254)	Data 0.125 (0.194)	Loss 4.9527 (4.9958)	Prec@1 5.469 (4.699)	Prec@5 17.969 (16.084)
Epoch: [13][310/7045]	Time 0.341 (0.254)	Data 0.289 (0.194)	Loss 4.8899 (4.9954)	Prec@1 6.641 (4.716)	Prec@5 19.922 (16.121)
Epoch: [13][320/7045]	Time 0.110 (0.255)	Data 0.001 (0.195)	Loss 4.9387 (4.9956)	Prec@1 6.641 (4.719)	Prec@5 16.406 (16.113)
Epoch: [13][330/7045]	Time 0.279 (0.255)	Data 0.227 (0.195)	Loss 4.9896 (4.9945)	Prec@1 4.297 (4.743)	Prec@5 20.312 (16.182)
Epoch: [13][340/7045]	Time 0.715 (0.256)	Data 0.663 (0.197)	Loss 5.0251 (4.9928)	Prec@1 4.297 (4.770)	Prec@5 14.062 (16.231)
Epoch: [13][350/7045]	Time 0.100 (0.255)	Data 0.001 (0.195)	Loss 5.0069 (4.9921)	Prec@1 5.469 (4.768)	Prec@5 17.578 (16.263)
Epoch: [13][360/7045]	Time 0.655 (0.257)	Data 0.597 (0.196)	Loss 5.0079 (4.9910)	Prec@1 5.078 (4.768)	Prec@5 20.312 (16.295)
Epoch: [13][370/7045]	Time 0.100 (0.256)	Data 0.049 (0.195)	Loss 5.0507 (4.9920)	Prec@1 3.516 (4.782)	Prec@5 16.406 (16.303)
Epoch: [13][380/7045]	Time 0.431 (0.256)	Data 0.380 (0.195)	Loss 4.9263 (4.9918)	Prec@1 2.734 (4.777)	Prec@5 16.797 (16.323)
Epoch: [13][390/7045]	Time 0.100 (0.256)	Data 0.048 (0.195)	Loss 5.0880 (4.9911)	Prec@1 5.078 (4.784)	Prec@5 14.844 (16.343)
Epoch: [13][400/7045]	Time 0.635 (0.257)	Data 0.585 (0.196)	Loss 5.0710 (4.9930)	Prec@1 3.516 (4.759)	Prec@5 12.891 (16.299)
Epoch: [13][410/7045]	Time 0.101 (0.256)	Data 0.010 (0.194)	Loss 5.0441 (4.9947)	Prec@1 5.859 (4.746)	Prec@5 18.750 (16.271)
Epoch: [13][420/7045]	Time 0.638 (0.256)	Data 0.588 (0.195)	Loss 5.1498 (4.9952)	Prec@1 2.734 (4.739)	Prec@5 12.891 (16.282)
Epoch: [13][430/7045]	Time 0.323 (0.256)	Data 0.271 (0.195)	Loss 4.9241 (4.9926)	Prec@1 6.250 (4.759)	Prec@5 17.188 (16.307)
Epoch: [13][440/7045]	Time 0.102 (0.256)	Data 0.001 (0.195)	Loss 5.0424 (4.9914)	Prec@1 4.297 (4.781)	Prec@5 12.500 (16.324)
Epoch: [13][450/7045]	Time 0.373 (0.256)	Data 0.315 (0.195)	Loss 5.0277 (4.9912)	Prec@1 2.344 (4.785)	Prec@5 16.016 (16.323)
Epoch: [13][460/7045]	Time 0.300 (0.256)	Data 0.248 (0.195)	Loss 5.0323 (4.9916)	Prec@1 5.859 (4.779)	Prec@5 20.312 (16.327)
Epoch: [13][470/7045]	Time 0.292 (0.256)	Data 0.241 (0.195)	Loss 5.0082 (4.9918)	Prec@1 4.297 (4.789)	Prec@5 14.453 (16.326)
Epoch: [13][480/7045]	Time 0.447 (0.257)	Data 0.396 (0.195)	Loss 4.8968 (4.9921)	Prec@1 5.078 (4.781)	Prec@5 21.094 (16.336)
Epoch: [13][490/7045]	Time 0.131 (0.257)	Data 0.081 (0.195)	Loss 5.0791 (4.9931)	Prec@1 2.734 (4.767)	Prec@5 12.500 (16.321)
Epoch: [13][500/7045]	Time 0.251 (0.256)	Data 0.200 (0.195)	Loss 4.8928 (4.9927)	Prec@1 5.078 (4.765)	Prec@5 14.844 (16.331)
Epoch: [13][510/7045]	Time 0.102 (0.256)	Data 0.050 (0.195)	Loss 5.0472 (4.9923)	Prec@1 2.734 (4.763)	Prec@5 18.359 (16.347)
Epoch: [13][520/7045]	Time 0.235 (0.256)	Data 0.184 (0.194)	Loss 5.1169 (4.9925)	Prec@1 3.516 (4.765)	Prec@5 14.062 (16.343)
Epoch: [13][530/7045]	Time 0.288 (0.256)	Data 0.237 (0.195)	Loss 4.9328 (4.9915)	Prec@1 4.688 (4.781)	Prec@5 16.016 (16.372)
Epoch: [13][540/7045]	Time 0.103 (0.256)	Data 0.050 (0.194)	Loss 4.8803 (4.9909)	Prec@1 5.469 (4.784)	Prec@5 17.188 (16.385)
Epoch: [13][550/7045]	Time 0.448 (0.256)	Data 0.387 (0.195)	Loss 4.9957 (4.9899)	Prec@1 6.250 (4.785)	Prec@5 18.359 (16.406)
Epoch: [13][560/7045]	Time 0.108 (0.256)	Data 0.001 (0.195)	Loss 5.0619 (4.9898)	Prec@1 5.078 (4.800)	Prec@5 16.406 (16.388)
Epoch: [13][570/7045]	Time 0.464 (0.256)	Data 0.413 (0.195)	Loss 5.0904 (4.9900)	Prec@1 6.250 (4.811)	Prec@5 14.062 (16.391)
Epoch: [13][580/7045]	Time 0.322 (0.256)	Data 0.271 (0.195)	Loss 4.9785 (4.9896)	Prec@1 4.297 (4.813)	Prec@5 16.797 (16.407)
Epoch: [13][590/7045]	Time 0.106 (0.256)	Data 0.046 (0.195)	Loss 4.8214 (4.9894)	Prec@1 5.469 (4.811)	Prec@5 16.406 (16.403)
Epoch: [13][600/7045]	Time 0.102 (0.256)	Data 0.001 (0.194)	Loss 4.8726 (4.9888)	Prec@1 5.078 (4.816)	Prec@5 18.359 (16.411)
Epoch: [13][610/7045]	Time 0.623 (0.256)	Data 0.571 (0.195)	Loss 4.9636 (4.9882)	Prec@1 7.031 (4.819)	Prec@5 18.359 (16.422)
Epoch: [13][620/7045]	Time 0.288 (0.256)	Data 0.236 (0.195)	Loss 4.9951 (4.9881)	Prec@1 3.906 (4.815)	Prec@5 16.797 (16.434)
Epoch: [13][630/7045]	Time 0.397 (0.256)	Data 0.340 (0.195)	Loss 5.0430 (4.9881)	Prec@1 3.516 (4.806)	Prec@5 15.234 (16.442)
Epoch: [13][640/7045]	Time 0.107 (0.256)	Data 0.056 (0.194)	Loss 4.7032 (4.9881)	Prec@1 6.641 (4.813)	Prec@5 21.484 (16.434)
Epoch: [13][650/7045]	Time 0.188 (0.256)	Data 0.135 (0.195)	Loss 4.9999 (4.9883)	Prec@1 6.641 (4.814)	Prec@5 18.750 (16.425)
Epoch: [13][660/7045]	Time 0.102 (0.256)	Data 0.001 (0.194)	Loss 5.0078 (4.9879)	Prec@1 3.906 (4.821)	Prec@5 16.797 (16.437)
Epoch: [13][670/7045]	Time 0.106 (0.256)	Data 0.053 (0.194)	Loss 5.0702 (4.9878)	Prec@1 3.125 (4.826)	Prec@5 15.234 (16.449)
Epoch: [13][680/7045]	Time 0.103 (0.256)	Data 0.050 (0.194)	Loss 4.9787 (4.9870)	Prec@1 3.516 (4.835)	Prec@5 14.062 (16.467)
Epoch: [13][690/7045]	Time 0.270 (0.256)	Data 0.219 (0.195)	Loss 5.0086 (4.9867)	Prec@1 5.469 (4.836)	Prec@5 16.797 (16.468)
Epoch: [13][700/7045]	Time 0.422 (0.256)	Data 0.370 (0.195)	Loss 4.8784 (4.9861)	Prec@1 6.250 (4.842)	Prec@5 17.969 (16.484)
Epoch: [13][710/7045]	Time 0.302 (0.256)	Data 0.250 (0.195)	Loss 4.9279 (4.9862)	Prec@1 5.469 (4.842)	Prec@5 15.625 (16.461)
Epoch: [13][720/7045]	Time 0.248 (0.256)	Data 0.196 (0.195)	Loss 5.0497 (4.9864)	Prec@1 2.344 (4.840)	Prec@5 14.062 (16.462)
Epoch: [13][730/7045]	Time 0.426 (0.256)	Data 0.374 (0.195)	Loss 5.0815 (4.9863)	Prec@1 5.859 (4.848)	Prec@5 16.406 (16.476)
Epoch: [13][740/7045]	Time 0.356 (0.256)	Data 0.303 (0.195)	Loss 4.9117 (4.9862)	Prec@1 5.469 (4.857)	Prec@5 19.141 (16.487)
Epoch: [13][750/7045]	Time 0.207 (0.256)	Data 0.155 (0.195)	Loss 4.8486 (4.9852)	Prec@1 5.078 (4.870)	Prec@5 17.969 (16.511)
Epoch: [13][760/7045]	Time 0.270 (0.256)	Data 0.219 (0.195)	Loss 5.0012 (4.9844)	Prec@1 3.125 (4.875)	Prec@5 17.969 (16.515)
Epoch: [13][770/7045]	Time 0.499 (0.256)	Data 0.446 (0.195)	Loss 5.0656 (4.9850)	Prec@1 6.250 (4.880)	Prec@5 15.625 (16.525)
Epoch: [13][780/7045]	Time 0.101 (0.256)	Data 0.045 (0.194)	Loss 5.0402 (4.9851)	Prec@1 5.078 (4.887)	Prec@5 14.453 (16.520)
Epoch: [13][790/7045]	Time 0.324 (0.256)	Data 0.273 (0.195)	Loss 4.9310 (4.9847)	Prec@1 5.469 (4.878)	Prec@5 21.094 (16.530)
Epoch: [13][800/7045]	Time 0.102 (0.256)	Data 0.002 (0.194)	Loss 5.0555 (4.9844)	Prec@1 5.859 (4.878)	Prec@5 17.188 (16.528)
Epoch: [13][810/7045]	Time 0.204 (0.256)	Data 0.153 (0.194)	Loss 5.0406 (4.9847)	Prec@1 2.734 (4.865)	Prec@5 15.625 (16.524)
Epoch: [13][820/7045]	Time 0.102 (0.255)	Data 0.006 (0.194)	Loss 4.8551 (4.9838)	Prec@1 8.594 (4.876)	Prec@5 20.703 (16.537)
Epoch: [13][830/7045]	Time 0.186 (0.256)	Data 0.135 (0.194)	Loss 4.8884 (4.9832)	Prec@1 4.688 (4.885)	Prec@5 14.844 (16.538)
Epoch: [13][840/7045]	Time 0.102 (0.256)	Data 0.001 (0.194)	Loss 5.1587 (4.9837)	Prec@1 3.516 (4.879)	Prec@5 16.016 (16.546)
Epoch: [13][850/7045]	Time 0.111 (0.256)	Data 0.008 (0.193)	Loss 4.9442 (4.9835)	Prec@1 6.250 (4.879)	Prec@5 18.750 (16.544)
Epoch: [13][860/7045]	Time 0.182 (0.255)	Data 0.131 (0.193)	Loss 4.8781 (4.9835)	Prec@1 3.516 (4.870)	Prec@5 17.969 (16.547)
Epoch: [13][870/7045]	Time 0.135 (0.255)	Data 0.083 (0.193)	Loss 4.8366 (4.9832)	Prec@1 5.469 (4.872)	Prec@5 19.531 (16.553)
Epoch: [13][880/7045]	Time 0.522 (0.256)	Data 0.470 (0.194)	Loss 5.0120 (4.9828)	Prec@1 6.250 (4.876)	Prec@5 14.062 (16.563)
Epoch: [13][890/7045]	Time 0.101 (0.255)	Data 0.001 (0.193)	Loss 4.8305 (4.9822)	Prec@1 5.469 (4.876)	Prec@5 17.578 (16.560)
Epoch: [13][900/7045]	Time 0.283 (0.255)	Data 0.231 (0.193)	Loss 5.0476 (4.9828)	Prec@1 2.734 (4.867)	Prec@5 14.453 (16.540)
Epoch: [13][910/7045]	Time 0.624 (0.256)	Data 0.569 (0.194)	Loss 4.9680 (4.9830)	Prec@1 4.297 (4.864)	Prec@5 17.188 (16.528)
Epoch: [13][920/7045]	Time 0.109 (0.255)	Data 0.001 (0.193)	Loss 4.9241 (4.9827)	Prec@1 4.688 (4.865)	Prec@5 18.359 (16.538)
Epoch: [13][930/7045]	Time 0.451 (0.255)	Data 0.401 (0.193)	Loss 5.0565 (4.9831)	Prec@1 3.125 (4.858)	Prec@5 12.109 (16.530)
Epoch: [13][940/7045]	Time 0.101 (0.255)	Data 0.001 (0.193)	Loss 4.8450 (4.9823)	Prec@1 4.688 (4.859)	Prec@5 17.188 (16.539)
Epoch: [13][950/7045]	Time 0.334 (0.255)	Data 0.282 (0.193)	Loss 4.8545 (4.9821)	Prec@1 5.859 (4.857)	Prec@5 18.750 (16.546)
Epoch: [13][960/7045]	Time 0.101 (0.255)	Data 0.049 (0.193)	Loss 5.0085 (4.9826)	Prec@1 5.469 (4.861)	Prec@5 14.453 (16.548)
Epoch: [13][970/7045]	Time 0.102 (0.255)	Data 0.001 (0.193)	Loss 5.0235 (4.9829)	Prec@1 3.516 (4.859)	Prec@5 14.844 (16.551)
Epoch: [13][980/7045]	Time 0.154 (0.255)	Data 0.101 (0.193)	Loss 4.9911 (4.9824)	Prec@1 5.859 (4.855)	Prec@5 17.188 (16.560)
Epoch: [13][990/7045]	Time 0.101 (0.255)	Data 0.001 (0.193)	Loss 5.0567 (4.9821)	Prec@1 5.078 (4.858)	Prec@5 15.625 (16.568)
Epoch: [13][1000/7045]	Time 0.102 (0.255)	Data 0.005 (0.193)	Loss 4.8823 (4.9825)	Prec@1 5.469 (4.848)	Prec@5 17.969 (16.560)
Epoch: [13][1010/7045]	Time 0.135 (0.255)	Data 0.083 (0.192)	Loss 4.9417 (4.9832)	Prec@1 5.469 (4.842)	Prec@5 16.797 (16.542)
Epoch: [13][1020/7045]	Time 0.181 (0.255)	Data 0.130 (0.193)	Loss 4.9544 (4.9836)	Prec@1 5.469 (4.840)	Prec@5 17.578 (16.536)
Epoch: [13][1030/7045]	Time 0.470 (0.255)	Data 0.419 (0.193)	Loss 4.9354 (4.9835)	Prec@1 5.078 (4.839)	Prec@5 16.016 (16.527)
Epoch: [13][1040/7045]	Time 0.101 (0.255)	Data 0.001 (0.192)	Loss 4.9714 (4.9837)	Prec@1 5.469 (4.837)	Prec@5 16.016 (16.515)
Epoch: [13][1050/7045]	Time 0.249 (0.255)	Data 0.198 (0.193)	Loss 5.0280 (4.9838)	Prec@1 3.906 (4.840)	Prec@5 16.797 (16.511)
Epoch: [13][1060/7045]	Time 0.102 (0.255)	Data 0.012 (0.193)	Loss 4.8782 (4.9837)	Prec@1 6.641 (4.838)	Prec@5 16.797 (16.510)
Epoch: [13][1070/7045]	Time 0.101 (0.255)	Data 0.001 (0.192)	Loss 5.0073 (4.9833)	Prec@1 5.078 (4.839)	Prec@5 16.016 (16.509)
Epoch: [13][1080/7045]	Time 0.150 (0.255)	Data 0.098 (0.192)	Loss 4.9135 (4.9835)	Prec@1 6.250 (4.847)	Prec@5 18.359 (16.509)
Epoch: [13][1090/7045]	Time 0.234 (0.255)	Data 0.181 (0.192)	Loss 4.9945 (4.9832)	Prec@1 3.906 (4.851)	Prec@5 14.062 (16.501)
Epoch: [13][1100/7045]	Time 0.219 (0.255)	Data 0.168 (0.193)	Loss 5.1590 (4.9830)	Prec@1 3.125 (4.850)	Prec@5 12.891 (16.503)
Epoch: [13][1110/7045]	Time 0.443 (0.255)	Data 0.392 (0.193)	Loss 5.0176 (4.9833)	Prec@1 7.031 (4.860)	Prec@5 20.312 (16.504)
Epoch: [13][1120/7045]	Time 0.100 (0.255)	Data 0.001 (0.192)	Loss 5.0302 (4.9835)	Prec@1 5.078 (4.860)	Prec@5 12.109 (16.501)
Epoch: [13][1130/7045]	Time 0.396 (0.255)	Data 0.344 (0.193)	Loss 5.2786 (4.9840)	Prec@1 3.906 (4.858)	Prec@5 8.984 (16.494)
Epoch: [13][1140/7045]	Time 0.102 (0.255)	Data 0.001 (0.192)	Loss 5.0570 (4.9846)	Prec@1 5.078 (4.853)	Prec@5 14.844 (16.478)
Epoch: [13][1150/7045]	Time 0.279 (0.255)	Data 0.222 (0.192)	Loss 4.9990 (4.9850)	Prec@1 5.859 (4.850)	Prec@5 18.750 (16.478)
Epoch: [13][1160/7045]	Time 0.152 (0.255)	Data 0.101 (0.192)	Loss 5.0908 (4.9856)	Prec@1 6.641 (4.848)	Prec@5 16.797 (16.472)
Epoch: [13][1170/7045]	Time 0.102 (0.255)	Data 0.001 (0.192)	Loss 5.2009 (4.9862)	Prec@1 2.734 (4.847)	Prec@5 10.938 (16.465)
Epoch: [13][1180/7045]	Time 0.112 (0.254)	Data 0.060 (0.192)	Loss 4.8457 (4.9859)	Prec@1 4.688 (4.851)	Prec@5 17.969 (16.460)
Epoch: [13][1190/7045]	Time 0.256 (0.255)	Data 0.196 (0.192)	Loss 4.9306 (4.9858)	Prec@1 5.859 (4.852)	Prec@5 16.797 (16.458)
Epoch: [13][1200/7045]	Time 0.102 (0.255)	Data 0.001 (0.192)	Loss 4.8683 (4.9857)	Prec@1 3.906 (4.851)	Prec@5 16.406 (16.457)
Epoch: [13][1210/7045]	Time 0.317 (0.255)	Data 0.265 (0.192)	Loss 4.8929 (4.9858)	Prec@1 4.688 (4.845)	Prec@5 17.578 (16.461)
Epoch: [13][1220/7045]	Time 0.294 (0.255)	Data 0.243 (0.192)	Loss 5.0581 (4.9858)	Prec@1 5.469 (4.850)	Prec@5 14.453 (16.464)
Epoch: [13][1230/7045]	Time 0.228 (0.255)	Data 0.176 (0.192)	Loss 5.0070 (4.9866)	Prec@1 4.297 (4.847)	Prec@5 14.844 (16.449)
Epoch: [13][1240/7045]	Time 0.102 (0.255)	Data 0.002 (0.192)	Loss 4.9895 (4.9870)	Prec@1 5.859 (4.846)	Prec@5 19.922 (16.443)
Epoch: [13][1250/7045]	Time 0.102 (0.255)	Data 0.001 (0.192)	Loss 5.0035 (4.9874)	Prec@1 7.812 (4.848)	Prec@5 16.016 (16.442)
Epoch: [13][1260/7045]	Time 0.256 (0.255)	Data 0.204 (0.192)	Loss 5.0260 (4.9876)	Prec@1 3.125 (4.844)	Prec@5 15.625 (16.438)
Epoch: [13][1270/7045]	Time 0.271 (0.255)	Data 0.220 (0.192)	Loss 4.8455 (4.9872)	Prec@1 7.031 (4.847)	Prec@5 21.875 (16.444)
Epoch: [13][1280/7045]	Time 0.284 (0.255)	Data 0.232 (0.193)	Loss 4.9510 (4.9874)	Prec@1 5.859 (4.845)	Prec@5 16.016 (16.445)
Epoch: [13][1290/7045]	Time 0.108 (0.255)	Data 0.057 (0.192)	Loss 5.1230 (4.9877)	Prec@1 2.734 (4.842)	Prec@5 14.062 (16.440)
Epoch: [13][1300/7045]	Time 0.100 (0.255)	Data 0.003 (0.193)	Loss 5.1646 (4.9881)	Prec@1 2.344 (4.843)	Prec@5 12.500 (16.434)
Epoch: [13][1310/7045]	Time 0.151 (0.255)	Data 0.099 (0.192)	Loss 4.9683 (4.9882)	Prec@1 6.250 (4.836)	Prec@5 17.969 (16.432)
Epoch: [13][1320/7045]	Time 0.122 (0.255)	Data 0.070 (0.193)	Loss 5.0718 (4.9884)	Prec@1 6.250 (4.834)	Prec@5 16.797 (16.425)
Epoch: [13][1330/7045]	Time 0.646 (0.255)	Data 0.595 (0.193)	Loss 4.9466 (4.9884)	Prec@1 7.422 (4.841)	Prec@5 19.531 (16.431)
Epoch: [13][1340/7045]	Time 0.174 (0.255)	Data 0.117 (0.193)	Loss 4.8854 (4.9883)	Prec@1 7.031 (4.842)	Prec@5 21.094 (16.432)
Epoch: [13][1350/7045]	Time 0.447 (0.255)	Data 0.395 (0.193)	Loss 4.9383 (4.9884)	Prec@1 7.812 (4.838)	Prec@5 17.188 (16.427)
Epoch: [13][1360/7045]	Time 0.228 (0.255)	Data 0.177 (0.193)	Loss 5.0236 (4.9889)	Prec@1 5.078 (4.838)	Prec@5 15.625 (16.416)
Epoch: [13][1370/7045]	Time 0.393 (0.255)	Data 0.342 (0.193)	Loss 5.1012 (4.9894)	Prec@1 3.125 (4.839)	Prec@5 14.062 (16.408)
Epoch: [13][1380/7045]	Time 0.111 (0.255)	Data 0.001 (0.193)	Loss 4.8343 (4.9893)	Prec@1 5.859 (4.843)	Prec@5 18.750 (16.413)
Epoch: [13][1390/7045]	Time 0.209 (0.255)	Data 0.157 (0.193)	Loss 5.0475 (4.9890)	Prec@1 3.516 (4.844)	Prec@5 14.844 (16.421)
Epoch: [13][1400/7045]	Time 0.128 (0.255)	Data 0.076 (0.193)	Loss 4.9684 (4.9890)	Prec@1 5.078 (4.847)	Prec@5 15.625 (16.426)
Epoch: [13][1410/7045]	Time 0.102 (0.255)	Data 0.049 (0.193)	Loss 4.9804 (4.9887)	Prec@1 5.859 (4.849)	Prec@5 17.578 (16.426)
Epoch: [13][1420/7045]	Time 0.102 (0.255)	Data 0.003 (0.193)	Loss 4.9643 (4.9889)	Prec@1 4.297 (4.846)	Prec@5 16.797 (16.423)
Epoch: [13][1430/7045]	Time 0.147 (0.255)	Data 0.096 (0.193)	Loss 4.9694 (4.9887)	Prec@1 4.688 (4.848)	Prec@5 15.234 (16.425)
Epoch: [13][1440/7045]	Time 0.209 (0.255)	Data 0.158 (0.193)	Loss 4.8204 (4.9885)	Prec@1 3.906 (4.847)	Prec@5 17.578 (16.425)
Epoch: [13][1450/7045]	Time 0.296 (0.255)	Data 0.244 (0.193)	Loss 4.8741 (4.9882)	Prec@1 6.250 (4.851)	Prec@5 19.141 (16.431)
Epoch: [13][1460/7045]	Time 0.112 (0.255)	Data 0.061 (0.193)	Loss 5.0270 (4.9882)	Prec@1 1.562 (4.848)	Prec@5 16.016 (16.426)
Epoch: [13][1470/7045]	Time 0.483 (0.255)	Data 0.432 (0.193)	Loss 5.0091 (4.9879)	Prec@1 5.078 (4.852)	Prec@5 17.969 (16.426)
Epoch: [13][1480/7045]	Time 0.102 (0.255)	Data 0.001 (0.193)	Loss 4.8755 (4.9876)	Prec@1 5.078 (4.854)	Prec@5 17.969 (16.431)
Epoch: [13][1490/7045]	Time 0.440 (0.255)	Data 0.389 (0.193)	Loss 5.0095 (4.9876)	Prec@1 5.469 (4.849)	Prec@5 14.453 (16.430)
Epoch: [13][1500/7045]	Time 0.292 (0.255)	Data 0.241 (0.193)	Loss 4.9239 (4.9872)	Prec@1 4.688 (4.853)	Prec@5 17.188 (16.429)
Epoch: [13][1510/7045]	Time 0.298 (0.255)	Data 0.248 (0.193)	Loss 4.8360 (4.9870)	Prec@1 7.422 (4.852)	Prec@5 19.531 (16.433)
Epoch: [13][1520/7045]	Time 0.103 (0.255)	Data 0.004 (0.193)	Loss 5.1407 (4.9868)	Prec@1 3.125 (4.852)	Prec@5 13.281 (16.439)
Epoch: [13][1530/7045]	Time 0.111 (0.255)	Data 0.059 (0.193)	Loss 5.0232 (4.9866)	Prec@1 5.469 (4.852)	Prec@5 16.016 (16.442)
Epoch: [13][1540/7045]	Time 0.733 (0.255)	Data 0.681 (0.193)	Loss 4.8579 (4.9867)	Prec@1 7.031 (4.854)	Prec@5 17.969 (16.441)
Epoch: [13][1550/7045]	Time 0.141 (0.255)	Data 0.091 (0.193)	Loss 4.8754 (4.9866)	Prec@1 8.203 (4.856)	Prec@5 20.703 (16.446)
Epoch: [13][1560/7045]	Time 0.307 (0.255)	Data 0.254 (0.193)	Loss 4.9402 (4.9870)	Prec@1 5.469 (4.858)	Prec@5 18.359 (16.442)
Epoch: [13][1570/7045]	Time 0.100 (0.255)	Data 0.009 (0.193)	Loss 4.8923 (4.9869)	Prec@1 5.859 (4.860)	Prec@5 19.531 (16.438)
Epoch: [13][1580/7045]	Time 0.229 (0.255)	Data 0.177 (0.193)	Loss 4.9886 (4.9870)	Prec@1 6.641 (4.858)	Prec@5 17.188 (16.440)
Epoch: [13][1590/7045]	Time 0.102 (0.255)	Data 0.001 (0.193)	Loss 5.0456 (4.9876)	Prec@1 2.734 (4.853)	Prec@5 17.578 (16.433)
Epoch: [13][1600/7045]	Time 0.232 (0.255)	Data 0.181 (0.193)	Loss 4.9822 (4.9876)	Prec@1 6.641 (4.856)	Prec@5 16.016 (16.434)
Epoch: [13][1610/7045]	Time 0.632 (0.255)	Data 0.576 (0.193)	Loss 5.0347 (4.9873)	Prec@1 3.906 (4.859)	Prec@5 14.844 (16.447)
Epoch: [13][1620/7045]	Time 0.101 (0.255)	Data 0.002 (0.193)	Loss 4.9300 (4.9871)	Prec@1 4.688 (4.863)	Prec@5 16.797 (16.453)
Epoch: [13][1630/7045]	Time 0.428 (0.255)	Data 0.371 (0.193)	Loss 5.0263 (4.9869)	Prec@1 4.688 (4.861)	Prec@5 14.453 (16.463)
Epoch: [13][1640/7045]	Time 0.102 (0.255)	Data 0.050 (0.192)	Loss 4.8601 (4.9868)	Prec@1 8.203 (4.861)	Prec@5 21.484 (16.464)
Epoch: [13][1650/7045]	Time 0.101 (0.255)	Data 0.017 (0.192)	Loss 5.1122 (4.9868)	Prec@1 5.859 (4.863)	Prec@5 17.969 (16.473)
Epoch: [13][1660/7045]	Time 0.102 (0.255)	Data 0.001 (0.192)	Loss 4.9975 (4.9868)	Prec@1 4.688 (4.859)	Prec@5 17.969 (16.474)
Epoch: [13][1670/7045]	Time 0.106 (0.255)	Data 0.052 (0.192)	Loss 5.0143 (4.9870)	Prec@1 3.516 (4.858)	Prec@5 14.844 (16.478)
Epoch: [13][1680/7045]	Time 0.101 (0.255)	Data 0.001 (0.192)	Loss 5.0167 (4.9870)	Prec@1 5.859 (4.859)	Prec@5 16.016 (16.475)
Epoch: [13][1690/7045]	Time 0.111 (0.255)	Data 0.058 (0.192)	Loss 4.8651 (4.9869)	Prec@1 7.812 (4.858)	Prec@5 20.312 (16.478)
Epoch: [13][1700/7045]	Time 0.207 (0.255)	Data 0.156 (0.192)	Loss 5.0416 (4.9868)	Prec@1 7.031 (4.860)	Prec@5 17.969 (16.481)
Epoch: [13][1710/7045]	Time 0.219 (0.255)	Data 0.167 (0.192)	Loss 5.0051 (4.9868)	Prec@1 5.469 (4.858)	Prec@5 14.062 (16.483)
Epoch: [13][1720/7045]	Time 0.453 (0.255)	Data 0.402 (0.192)	Loss 5.0657 (4.9867)	Prec@1 5.469 (4.861)	Prec@5 15.234 (16.484)
Epoch: [13][1730/7045]	Time 0.259 (0.255)	Data 0.208 (0.192)	Loss 4.9773 (4.9870)	Prec@1 3.516 (4.859)	Prec@5 15.234 (16.483)
Epoch: [13][1740/7045]	Time 0.243 (0.255)	Data 0.190 (0.192)	Loss 4.8287 (4.9868)	Prec@1 8.203 (4.862)	Prec@5 24.219 (16.486)
Epoch: [13][1750/7045]	Time 0.110 (0.255)	Data 0.057 (0.192)	Loss 5.0007 (4.9870)	Prec@1 4.297 (4.862)	Prec@5 18.750 (16.493)
Epoch: [13][1760/7045]	Time 0.112 (0.255)	Data 0.001 (0.192)	Loss 4.9777 (4.9873)	Prec@1 4.688 (4.858)	Prec@5 14.453 (16.486)
Epoch: [13][1770/7045]	Time 0.262 (0.255)	Data 0.212 (0.192)	Loss 4.9280 (4.9871)	Prec@1 5.078 (4.860)	Prec@5 16.016 (16.492)
Epoch: [13][1780/7045]	Time 0.101 (0.255)	Data 0.049 (0.192)	Loss 5.0640 (4.9870)	Prec@1 2.344 (4.860)	Prec@5 15.625 (16.495)
Epoch: [13][1790/7045]	Time 0.293 (0.255)	Data 0.241 (0.192)	Loss 5.0153 (4.9872)	Prec@1 3.906 (4.858)	Prec@5 14.062 (16.491)
Epoch: [13][1800/7045]	Time 0.199 (0.255)	Data 0.148 (0.192)	Loss 5.0353 (4.9869)	Prec@1 1.953 (4.860)	Prec@5 13.672 (16.496)
Epoch: [13][1810/7045]	Time 0.186 (0.254)	Data 0.134 (0.192)	Loss 5.1659 (4.9875)	Prec@1 2.344 (4.858)	Prec@5 12.109 (16.488)
Epoch: [13][1820/7045]	Time 0.321 (0.254)	Data 0.270 (0.192)	Loss 5.1581 (4.9878)	Prec@1 5.469 (4.861)	Prec@5 15.234 (16.486)
Epoch: [13][1830/7045]	Time 0.249 (0.254)	Data 0.198 (0.192)	Loss 4.8826 (4.9876)	Prec@1 4.688 (4.865)	Prec@5 15.625 (16.491)
Epoch: [13][1840/7045]	Time 0.299 (0.254)	Data 0.248 (0.192)	Loss 4.9294 (4.9873)	Prec@1 6.250 (4.873)	Prec@5 14.844 (16.496)
Epoch: [13][1850/7045]	Time 0.290 (0.254)	Data 0.234 (0.192)	Loss 5.0122 (4.9874)	Prec@1 5.859 (4.874)	Prec@5 14.844 (16.495)
Epoch: [13][1860/7045]	Time 0.236 (0.254)	Data 0.185 (0.192)	Loss 4.8606 (4.9872)	Prec@1 5.078 (4.873)	Prec@5 14.062 (16.498)
Epoch: [13][1870/7045]	Time 0.176 (0.254)	Data 0.125 (0.192)	Loss 4.8571 (4.9870)	Prec@1 4.688 (4.874)	Prec@5 17.969 (16.504)
Epoch: [13][1880/7045]	Time 0.111 (0.254)	Data 0.060 (0.192)	Loss 4.9894 (4.9870)	Prec@1 5.078 (4.873)	Prec@5 15.625 (16.505)
Epoch: [13][1890/7045]	Time 0.111 (0.254)	Data 0.059 (0.192)	Loss 5.0122 (4.9871)	Prec@1 3.516 (4.869)	Prec@5 14.453 (16.494)
Epoch: [13][1900/7045]	Time 0.101 (0.254)	Data 0.001 (0.192)	Loss 4.9671 (4.9869)	Prec@1 5.469 (4.871)	Prec@5 16.797 (16.500)
Epoch: [13][1910/7045]	Time 0.212 (0.254)	Data 0.152 (0.192)	Loss 5.0034 (4.9869)	Prec@1 5.859 (4.875)	Prec@5 16.406 (16.504)
Epoch: [13][1920/7045]	Time 0.100 (0.254)	Data 0.048 (0.192)	Loss 4.9423 (4.9869)	Prec@1 5.859 (4.874)	Prec@5 16.016 (16.501)
Epoch: [13][1930/7045]	Time 0.314 (0.254)	Data 0.262 (0.192)	Loss 4.9759 (4.9868)	Prec@1 3.516 (4.873)	Prec@5 13.281 (16.502)
Epoch: [13][1940/7045]	Time 0.102 (0.254)	Data 0.003 (0.192)	Loss 4.9160 (4.9869)	Prec@1 5.859 (4.875)	Prec@5 18.750 (16.504)
Epoch: [13][1950/7045]	Time 0.503 (0.254)	Data 0.453 (0.192)	Loss 4.8994 (4.9866)	Prec@1 3.906 (4.873)	Prec@5 19.141 (16.510)
Epoch: [13][1960/7045]	Time 0.101 (0.254)	Data 0.001 (0.191)	Loss 4.9126 (4.9865)	Prec@1 4.297 (4.870)	Prec@5 18.359 (16.509)
Epoch: [13][1970/7045]	Time 0.507 (0.254)	Data 0.456 (0.192)	Loss 5.0750 (4.9867)	Prec@1 5.469 (4.869)	Prec@5 17.188 (16.508)
Epoch: [13][1980/7045]	Time 0.100 (0.254)	Data 0.045 (0.192)	Loss 4.9976 (4.9866)	Prec@1 4.297 (4.868)	Prec@5 12.109 (16.506)
Epoch: [13][1990/7045]	Time 0.101 (0.254)	Data 0.001 (0.192)	Loss 4.8206 (4.9864)	Prec@1 6.641 (4.870)	Prec@5 21.484 (16.511)
Epoch: [13][2000/7045]	Time 0.101 (0.254)	Data 0.001 (0.191)	Loss 4.9552 (4.9862)	Prec@1 7.031 (4.873)	Prec@5 18.750 (16.514)
Epoch: [13][2010/7045]	Time 0.402 (0.254)	Data 0.352 (0.192)	Loss 5.1221 (4.9864)	Prec@1 4.297 (4.871)	Prec@5 15.625 (16.511)
Epoch: [13][2020/7045]	Time 0.191 (0.254)	Data 0.140 (0.191)	Loss 4.9825 (4.9869)	Prec@1 6.250 (4.866)	Prec@5 17.578 (16.503)
Epoch: [13][2030/7045]	Time 0.301 (0.254)	Data 0.241 (0.192)	Loss 5.0261 (4.9872)	Prec@1 6.641 (4.864)	Prec@5 17.578 (16.500)
Epoch: [13][2040/7045]	Time 0.489 (0.254)	Data 0.437 (0.192)	Loss 5.1252 (4.9878)	Prec@1 4.297 (4.859)	Prec@5 15.625 (16.486)
Epoch: [13][2050/7045]	Time 0.329 (0.254)	Data 0.278 (0.191)	Loss 5.0093 (4.9880)	Prec@1 3.125 (4.856)	Prec@5 14.062 (16.481)
Epoch: [13][2060/7045]	Time 0.406 (0.254)	Data 0.355 (0.191)	Loss 5.0053 (4.9883)	Prec@1 5.469 (4.855)	Prec@5 16.016 (16.475)
Epoch: [13][2070/7045]	Time 0.370 (0.254)	Data 0.320 (0.191)	Loss 5.0274 (4.9886)	Prec@1 3.906 (4.853)	Prec@5 16.016 (16.465)
Epoch: [13][2080/7045]	Time 0.425 (0.254)	Data 0.374 (0.191)	Loss 5.0459 (4.9886)	Prec@1 4.297 (4.850)	Prec@5 17.188 (16.467)
Epoch: [13][2090/7045]	Time 0.107 (0.254)	Data 0.001 (0.191)	Loss 4.8814 (4.9885)	Prec@1 6.641 (4.850)	Prec@5 20.703 (16.462)
Epoch: [13][2100/7045]	Time 0.355 (0.254)	Data 0.305 (0.191)	Loss 5.0287 (4.9884)	Prec@1 5.859 (4.852)	Prec@5 16.406 (16.462)
Epoch: [13][2110/7045]	Time 0.102 (0.253)	Data 0.009 (0.191)	Loss 4.9745 (4.9882)	Prec@1 3.906 (4.852)	Prec@5 12.109 (16.463)
Epoch: [13][2120/7045]	Time 0.421 (0.253)	Data 0.371 (0.191)	Loss 4.9947 (4.9881)	Prec@1 5.469 (4.851)	Prec@5 14.844 (16.460)
Epoch: [13][2130/7045]	Time 0.101 (0.253)	Data 0.046 (0.191)	Loss 4.8802 (4.9879)	Prec@1 3.516 (4.850)	Prec@5 17.969 (16.460)
Epoch: [13][2140/7045]	Time 0.316 (0.253)	Data 0.264 (0.191)	Loss 4.7803 (4.9877)	Prec@1 7.812 (4.852)	Prec@5 18.750 (16.461)
Epoch: [13][2150/7045]	Time 0.459 (0.253)	Data 0.408 (0.191)	Loss 5.0085 (4.9876)	Prec@1 5.469 (4.854)	Prec@5 16.016 (16.462)
Epoch: [13][2160/7045]	Time 0.317 (0.253)	Data 0.266 (0.191)	Loss 4.8864 (4.9874)	Prec@1 5.078 (4.856)	Prec@5 18.359 (16.465)
Epoch: [13][2170/7045]	Time 0.639 (0.253)	Data 0.587 (0.191)	Loss 4.9848 (4.9873)	Prec@1 3.125 (4.857)	Prec@5 17.969 (16.469)
Epoch: [13][2180/7045]	Time 0.197 (0.253)	Data 0.139 (0.191)	Loss 4.9605 (4.9872)	Prec@1 3.516 (4.860)	Prec@5 16.797 (16.476)
Epoch: [13][2190/7045]	Time 0.584 (0.253)	Data 0.526 (0.191)	Loss 5.0397 (4.9874)	Prec@1 3.516 (4.859)	Prec@5 15.625 (16.471)
Epoch: [13][2200/7045]	Time 0.106 (0.253)	Data 0.001 (0.191)	Loss 4.9045 (4.9873)	Prec@1 3.906 (4.860)	Prec@5 16.406 (16.475)
Epoch: [13][2210/7045]	Time 0.539 (0.253)	Data 0.487 (0.191)	Loss 5.0183 (4.9875)	Prec@1 5.078 (4.859)	Prec@5 17.188 (16.472)
Epoch: [13][2220/7045]	Time 0.231 (0.253)	Data 0.181 (0.191)	Loss 5.1523 (4.9873)	Prec@1 2.734 (4.859)	Prec@5 15.625 (16.479)
Epoch: [13][2230/7045]	Time 0.543 (0.253)	Data 0.492 (0.191)	Loss 4.9746 (4.9871)	Prec@1 5.859 (4.862)	Prec@5 16.797 (16.482)
Epoch: [13][2240/7045]	Time 0.100 (0.253)	Data 0.001 (0.191)	Loss 4.9255 (4.9870)	Prec@1 4.688 (4.860)	Prec@5 18.750 (16.482)
Epoch: [13][2250/7045]	Time 0.543 (0.253)	Data 0.491 (0.191)	Loss 4.9205 (4.9867)	Prec@1 6.641 (4.860)	Prec@5 18.359 (16.489)
Epoch: [13][2260/7045]	Time 0.153 (0.253)	Data 0.102 (0.191)	Loss 5.0079 (4.9865)	Prec@1 3.516 (4.861)	Prec@5 11.328 (16.490)
Epoch: [13][2270/7045]	Time 0.376 (0.253)	Data 0.325 (0.191)	Loss 5.0182 (4.9866)	Prec@1 4.297 (4.859)	Prec@5 14.453 (16.488)
Epoch: [13][2280/7045]	Time 0.107 (0.253)	Data 0.001 (0.191)	Loss 4.8123 (4.9867)	Prec@1 6.250 (4.857)	Prec@5 21.484 (16.483)
Epoch: [13][2290/7045]	Time 0.485 (0.253)	Data 0.434 (0.191)	Loss 4.9227 (4.9866)	Prec@1 3.906 (4.857)	Prec@5 17.969 (16.480)
Epoch: [13][2300/7045]	Time 0.290 (0.253)	Data 0.238 (0.191)	Loss 5.0967 (4.9869)	Prec@1 5.078 (4.858)	Prec@5 14.844 (16.480)
Epoch: [13][2310/7045]	Time 0.209 (0.253)	Data 0.158 (0.191)	Loss 4.9966 (4.9870)	Prec@1 3.516 (4.857)	Prec@5 17.188 (16.480)
Epoch: [13][2320/7045]	Time 0.217 (0.253)	Data 0.165 (0.191)	Loss 4.9429 (4.9870)	Prec@1 5.859 (4.860)	Prec@5 16.406 (16.480)
Epoch: [13][2330/7045]	Time 0.489 (0.253)	Data 0.439 (0.191)	Loss 5.0072 (4.9869)	Prec@1 4.297 (4.860)	Prec@5 14.453 (16.484)
Epoch: [13][2340/7045]	Time 0.323 (0.253)	Data 0.273 (0.191)	Loss 5.0056 (4.9869)	Prec@1 3.125 (4.860)	Prec@5 14.844 (16.489)
Epoch: [13][2350/7045]	Time 0.499 (0.253)	Data 0.447 (0.191)	Loss 5.0625 (4.9870)	Prec@1 2.344 (4.860)	Prec@5 18.750 (16.487)
Epoch: [13][2360/7045]	Time 0.352 (0.253)	Data 0.300 (0.191)	Loss 4.8936 (4.9869)	Prec@1 4.688 (4.860)	Prec@5 17.969 (16.491)
Epoch: [13][2370/7045]	Time 0.167 (0.253)	Data 0.115 (0.191)	Loss 5.0414 (4.9867)	Prec@1 5.469 (4.863)	Prec@5 14.453 (16.498)
Epoch: [13][2380/7045]	Time 0.533 (0.253)	Data 0.483 (0.191)	Loss 5.0150 (4.9869)	Prec@1 3.125 (4.863)	Prec@5 13.281 (16.493)
Epoch: [13][2390/7045]	Time 0.131 (0.253)	Data 0.081 (0.191)	Loss 5.0935 (4.9872)	Prec@1 4.688 (4.863)	Prec@5 13.672 (16.492)
Epoch: [13][2400/7045]	Time 0.152 (0.253)	Data 0.101 (0.191)	Loss 5.0245 (4.9875)	Prec@1 3.906 (4.860)	Prec@5 17.578 (16.491)
Epoch: [13][2410/7045]	Time 0.314 (0.253)	Data 0.263 (0.191)	Loss 4.9905 (4.9874)	Prec@1 6.641 (4.862)	Prec@5 15.234 (16.489)
Epoch: [13][2420/7045]	Time 0.536 (0.253)	Data 0.485 (0.191)	Loss 5.0946 (4.9875)	Prec@1 3.516 (4.859)	Prec@5 17.578 (16.488)
Epoch: [13][2430/7045]	Time 0.161 (0.253)	Data 0.109 (0.191)	Loss 4.8779 (4.9879)	Prec@1 5.469 (4.856)	Prec@5 16.406 (16.481)
Epoch: [13][2440/7045]	Time 0.371 (0.253)	Data 0.320 (0.191)	Loss 4.9207 (4.9878)	Prec@1 5.469 (4.856)	Prec@5 16.406 (16.480)
Epoch: [13][2450/7045]	Time 0.277 (0.253)	Data 0.225 (0.191)	Loss 4.8152 (4.9875)	Prec@1 4.297 (4.858)	Prec@5 17.969 (16.483)
Epoch: [13][2460/7045]	Time 0.102 (0.253)	Data 0.001 (0.191)	Loss 5.0279 (4.9873)	Prec@1 3.516 (4.856)	Prec@5 14.453 (16.487)
Epoch: [13][2470/7045]	Time 0.358 (0.253)	Data 0.307 (0.191)	Loss 4.9941 (4.9872)	Prec@1 4.297 (4.855)	Prec@5 17.578 (16.489)
Epoch: [13][2480/7045]	Time 0.271 (0.253)	Data 0.220 (0.191)	Loss 4.9443 (4.9873)	Prec@1 5.078 (4.852)	Prec@5 15.625 (16.486)
Epoch: [13][2490/7045]	Time 0.101 (0.253)	Data 0.001 (0.191)	Loss 4.9039 (4.9872)	Prec@1 6.250 (4.854)	Prec@5 17.578 (16.487)
Epoch: [13][2500/7045]	Time 0.119 (0.253)	Data 0.067 (0.191)	Loss 5.0874 (4.9870)	Prec@1 3.125 (4.856)	Prec@5 12.891 (16.488)
Epoch: [13][2510/7045]	Time 0.321 (0.253)	Data 0.269 (0.191)	Loss 4.9353 (4.9869)	Prec@1 4.297 (4.858)	Prec@5 14.062 (16.489)
Epoch: [13][2520/7045]	Time 0.167 (0.253)	Data 0.116 (0.191)	Loss 5.0319 (4.9867)	Prec@1 3.906 (4.859)	Prec@5 16.406 (16.491)
Epoch: [13][2530/7045]	Time 0.360 (0.253)	Data 0.308 (0.191)	Loss 4.9771 (4.9867)	Prec@1 5.859 (4.861)	Prec@5 17.578 (16.491)
Epoch: [13][2540/7045]	Time 0.205 (0.253)	Data 0.155 (0.191)	Loss 5.0617 (4.9869)	Prec@1 5.469 (4.861)	Prec@5 17.188 (16.491)
Epoch: [13][2550/7045]	Time 0.357 (0.253)	Data 0.305 (0.191)	Loss 5.0791 (4.9869)	Prec@1 4.688 (4.865)	Prec@5 16.797 (16.492)
Epoch: [13][2560/7045]	Time 0.280 (0.253)	Data 0.228 (0.191)	Loss 5.1248 (4.9870)	Prec@1 4.297 (4.864)	Prec@5 15.234 (16.490)
Epoch: [13][2570/7045]	Time 0.344 (0.253)	Data 0.293 (0.191)	Loss 5.0115 (4.9870)	Prec@1 3.906 (4.861)	Prec@5 14.453 (16.488)
Epoch: [13][2580/7045]	Time 0.220 (0.253)	Data 0.169 (0.191)	Loss 5.1147 (4.9870)	Prec@1 3.906 (4.861)	Prec@5 14.844 (16.490)
Epoch: [13][2590/7045]	Time 0.239 (0.253)	Data 0.188 (0.191)	Loss 5.0118 (4.9873)	Prec@1 6.250 (4.858)	Prec@5 17.188 (16.485)
Epoch: [13][2600/7045]	Time 0.101 (0.253)	Data 0.001 (0.191)	Loss 4.9228 (4.9874)	Prec@1 5.469 (4.858)	Prec@5 18.359 (16.485)
Epoch: [13][2610/7045]	Time 0.368 (0.253)	Data 0.316 (0.191)	Loss 5.0467 (4.9877)	Prec@1 3.125 (4.855)	Prec@5 13.672 (16.477)
Epoch: [13][2620/7045]	Time 0.423 (0.253)	Data 0.365 (0.191)	Loss 4.9166 (4.9876)	Prec@1 4.688 (4.853)	Prec@5 17.188 (16.477)
Epoch: [13][2630/7045]	Time 0.177 (0.253)	Data 0.126 (0.191)	Loss 4.8958 (4.9875)	Prec@1 4.297 (4.852)	Prec@5 17.188 (16.478)
Epoch: [13][2640/7045]	Time 0.610 (0.253)	Data 0.559 (0.191)	Loss 5.0768 (4.9876)	Prec@1 2.734 (4.853)	Prec@5 10.938 (16.476)
Epoch: [13][2650/7045]	Time 0.113 (0.253)	Data 0.061 (0.191)	Loss 4.9169 (4.9874)	Prec@1 2.734 (4.852)	Prec@5 16.797 (16.476)
Epoch: [13][2660/7045]	Time 0.508 (0.253)	Data 0.450 (0.191)	Loss 5.1362 (4.9874)	Prec@1 4.297 (4.853)	Prec@5 16.797 (16.479)
Epoch: [13][2670/7045]	Time 0.108 (0.253)	Data 0.001 (0.190)	Loss 5.0336 (4.9874)	Prec@1 6.641 (4.853)	Prec@5 17.188 (16.479)
Epoch: [13][2680/7045]	Time 0.511 (0.253)	Data 0.461 (0.191)	Loss 5.1274 (4.9876)	Prec@1 4.688 (4.852)	Prec@5 13.672 (16.475)
Epoch: [13][2690/7045]	Time 0.138 (0.253)	Data 0.086 (0.190)	Loss 4.8299 (4.9878)	Prec@1 6.641 (4.848)	Prec@5 20.703 (16.468)
Epoch: [13][2700/7045]	Time 0.457 (0.253)	Data 0.405 (0.191)	Loss 4.9202 (4.9877)	Prec@1 8.594 (4.849)	Prec@5 21.094 (16.471)
Epoch: [13][2710/7045]	Time 0.246 (0.253)	Data 0.193 (0.190)	Loss 4.9847 (4.9880)	Prec@1 3.906 (4.845)	Prec@5 17.969 (16.469)
Epoch: [13][2720/7045]	Time 0.101 (0.253)	Data 0.001 (0.190)	Loss 5.0466 (4.9883)	Prec@1 6.641 (4.844)	Prec@5 16.406 (16.463)
Epoch: [13][2730/7045]	Time 0.113 (0.252)	Data 0.062 (0.190)	Loss 4.7980 (4.9883)	Prec@1 7.422 (4.847)	Prec@5 23.828 (16.468)
Epoch: [13][2740/7045]	Time 0.101 (0.253)	Data 0.008 (0.190)	Loss 4.9443 (4.9883)	Prec@1 5.078 (4.846)	Prec@5 14.844 (16.468)
Epoch: [13][2750/7045]	Time 0.234 (0.252)	Data 0.183 (0.190)	Loss 5.0212 (4.9883)	Prec@1 3.516 (4.847)	Prec@5 12.500 (16.470)
Epoch: [13][2760/7045]	Time 0.416 (0.253)	Data 0.365 (0.190)	Loss 4.7799 (4.9881)	Prec@1 4.297 (4.847)	Prec@5 19.141 (16.473)
Epoch: [13][2770/7045]	Time 0.166 (0.253)	Data 0.114 (0.190)	Loss 4.8774 (4.9880)	Prec@1 5.469 (4.848)	Prec@5 19.141 (16.472)
Epoch: [13][2780/7045]	Time 0.195 (0.252)	Data 0.143 (0.190)	Loss 5.0087 (4.9881)	Prec@1 3.516 (4.846)	Prec@5 13.672 (16.473)
Epoch: [13][2790/7045]	Time 0.614 (0.253)	Data 0.562 (0.190)	Loss 5.0143 (4.9879)	Prec@1 4.297 (4.846)	Prec@5 14.062 (16.475)
Epoch: [13][2800/7045]	Time 0.101 (0.252)	Data 0.006 (0.190)	Loss 4.9007 (4.9881)	Prec@1 7.031 (4.844)	Prec@5 17.578 (16.471)
Epoch: [13][2810/7045]	Time 0.420 (0.253)	Data 0.370 (0.190)	Loss 5.0800 (4.9881)	Prec@1 4.297 (4.844)	Prec@5 12.891 (16.472)
Epoch: [13][2820/7045]	Time 0.106 (0.252)	Data 0.055 (0.190)	Loss 4.9733 (4.9881)	Prec@1 2.344 (4.842)	Prec@5 13.672 (16.472)
Epoch: [13][2830/7045]	Time 0.145 (0.252)	Data 0.093 (0.190)	Loss 5.0952 (4.9882)	Prec@1 3.516 (4.840)	Prec@5 15.625 (16.467)
Epoch: [13][2840/7045]	Time 0.391 (0.253)	Data 0.333 (0.190)	Loss 4.8975 (4.9883)	Prec@1 4.688 (4.839)	Prec@5 17.969 (16.465)
Epoch: [13][2850/7045]	Time 0.102 (0.252)	Data 0.001 (0.190)	Loss 4.9883 (4.9881)	Prec@1 3.906 (4.842)	Prec@5 16.406 (16.469)
Epoch: [13][2860/7045]	Time 0.581 (0.252)	Data 0.529 (0.190)	Loss 4.9053 (4.9880)	Prec@1 3.906 (4.842)	Prec@5 14.844 (16.470)
Epoch: [13][2870/7045]	Time 0.240 (0.252)	Data 0.182 (0.190)	Loss 4.8947 (4.9879)	Prec@1 6.641 (4.844)	Prec@5 19.531 (16.474)
Epoch: [13][2880/7045]	Time 0.394 (0.252)	Data 0.344 (0.190)	Loss 5.1003 (4.9880)	Prec@1 4.688 (4.844)	Prec@5 14.844 (16.474)
Epoch: [13][2890/7045]	Time 0.106 (0.252)	Data 0.053 (0.190)	Loss 5.0429 (4.9882)	Prec@1 3.906 (4.841)	Prec@5 15.234 (16.472)
Epoch: [13][2900/7045]	Time 0.129 (0.252)	Data 0.078 (0.190)	Loss 5.0170 (4.9883)	Prec@1 3.125 (4.839)	Prec@5 17.969 (16.470)
Epoch: [13][2910/7045]	Time 0.225 (0.252)	Data 0.173 (0.190)	Loss 4.9883 (4.9884)	Prec@1 4.297 (4.838)	Prec@5 13.672 (16.464)
Epoch: [13][2920/7045]	Time 0.242 (0.252)	Data 0.190 (0.190)	Loss 4.8241 (4.9888)	Prec@1 6.641 (4.836)	Prec@5 20.312 (16.457)
Epoch: [13][2930/7045]	Time 0.323 (0.252)	Data 0.265 (0.190)	Loss 5.0545 (4.9888)	Prec@1 4.297 (4.833)	Prec@5 14.844 (16.454)
Epoch: [13][2940/7045]	Time 0.311 (0.252)	Data 0.260 (0.190)	Loss 4.9827 (4.9891)	Prec@1 4.688 (4.832)	Prec@5 19.531 (16.450)
Epoch: [13][2950/7045]	Time 0.162 (0.252)	Data 0.111 (0.190)	Loss 5.0150 (4.9892)	Prec@1 2.734 (4.832)	Prec@5 12.891 (16.447)
Epoch: [13][2960/7045]	Time 0.203 (0.252)	Data 0.151 (0.190)	Loss 4.9218 (4.9892)	Prec@1 5.078 (4.833)	Prec@5 19.531 (16.450)
Epoch: [13][2970/7045]	Time 0.337 (0.252)	Data 0.286 (0.190)	Loss 4.9596 (4.9892)	Prec@1 5.469 (4.833)	Prec@5 17.188 (16.451)
Epoch: [13][2980/7045]	Time 0.165 (0.252)	Data 0.114 (0.190)	Loss 5.2092 (4.9893)	Prec@1 3.906 (4.833)	Prec@5 10.156 (16.444)
Epoch: [13][2990/7045]	Time 0.516 (0.252)	Data 0.459 (0.190)	Loss 5.2283 (4.9896)	Prec@1 3.125 (4.831)	Prec@5 12.109 (16.437)
Epoch: [13][3000/7045]	Time 0.135 (0.252)	Data 0.083 (0.190)	Loss 5.1006 (4.9900)	Prec@1 2.344 (4.827)	Prec@5 12.109 (16.433)
Epoch: [13][3010/7045]	Time 0.303 (0.252)	Data 0.247 (0.190)	Loss 4.9260 (4.9901)	Prec@1 5.469 (4.826)	Prec@5 16.016 (16.430)
Epoch: [13][3020/7045]	Time 0.101 (0.252)	Data 0.006 (0.190)	Loss 4.9090 (4.9903)	Prec@1 6.641 (4.827)	Prec@5 19.141 (16.428)
Epoch: [13][3030/7045]	Time 0.213 (0.252)	Data 0.161 (0.190)	Loss 5.0579 (4.9903)	Prec@1 5.078 (4.826)	Prec@5 16.406 (16.428)
Epoch: [13][3040/7045]	Time 0.102 (0.252)	Data 0.050 (0.190)	Loss 5.0851 (4.9904)	Prec@1 2.344 (4.824)	Prec@5 12.500 (16.424)
Epoch: [13][3050/7045]	Time 0.104 (0.252)	Data 0.053 (0.190)	Loss 5.0626 (4.9904)	Prec@1 3.906 (4.823)	Prec@5 14.453 (16.425)
Epoch: [13][3060/7045]	Time 0.361 (0.252)	Data 0.310 (0.190)	Loss 4.9110 (4.9904)	Prec@1 4.688 (4.823)	Prec@5 16.406 (16.424)
Epoch: [13][3070/7045]	Time 0.112 (0.252)	Data 0.054 (0.190)	Loss 5.0083 (4.9906)	Prec@1 4.297 (4.819)	Prec@5 14.844 (16.419)
Epoch: [13][3080/7045]	Time 0.606 (0.252)	Data 0.550 (0.190)	Loss 4.9469 (4.9907)	Prec@1 6.250 (4.817)	Prec@5 18.750 (16.419)
Epoch: [13][3090/7045]	Time 0.102 (0.252)	Data 0.001 (0.190)	Loss 4.9557 (4.9907)	Prec@1 5.469 (4.815)	Prec@5 17.969 (16.418)
Epoch: [13][3100/7045]	Time 0.562 (0.252)	Data 0.511 (0.190)	Loss 5.0282 (4.9908)	Prec@1 4.688 (4.816)	Prec@5 14.844 (16.418)
Epoch: [13][3110/7045]	Time 0.141 (0.252)	Data 0.090 (0.190)	Loss 4.8605 (4.9907)	Prec@1 5.078 (4.817)	Prec@5 16.016 (16.420)
Epoch: [13][3120/7045]	Time 0.426 (0.252)	Data 0.375 (0.190)	Loss 5.0309 (4.9907)	Prec@1 4.688 (4.817)	Prec@5 15.625 (16.420)
Epoch: [13][3130/7045]	Time 0.118 (0.252)	Data 0.067 (0.190)	Loss 4.9756 (4.9907)	Prec@1 2.734 (4.814)	Prec@5 14.453 (16.414)
Epoch: [13][3140/7045]	Time 0.252 (0.252)	Data 0.201 (0.190)	Loss 5.0308 (4.9905)	Prec@1 5.078 (4.815)	Prec@5 14.062 (16.418)
Epoch: [13][3150/7045]	Time 0.103 (0.252)	Data 0.052 (0.190)	Loss 4.8796 (4.9901)	Prec@1 6.641 (4.816)	Prec@5 17.188 (16.422)
Epoch: [13][3160/7045]	Time 0.108 (0.252)	Data 0.049 (0.190)	Loss 5.0941 (4.9901)	Prec@1 5.469 (4.816)	Prec@5 16.797 (16.421)
Epoch: [13][3170/7045]	Time 0.102 (0.252)	Data 0.050 (0.190)	Loss 4.9604 (4.9904)	Prec@1 4.297 (4.813)	Prec@5 18.359 (16.421)
Epoch: [13][3180/7045]	Time 0.102 (0.252)	Data 0.001 (0.190)	Loss 4.9914 (4.9904)	Prec@1 5.859 (4.811)	Prec@5 19.531 (16.419)
Epoch: [13][3190/7045]	Time 0.319 (0.252)	Data 0.266 (0.190)	Loss 4.9821 (4.9904)	Prec@1 3.516 (4.812)	Prec@5 15.234 (16.419)
Epoch: [13][3200/7045]	Time 0.103 (0.252)	Data 0.005 (0.190)	Loss 4.8540 (4.9904)	Prec@1 5.859 (4.813)	Prec@5 17.188 (16.419)
Epoch: [13][3210/7045]	Time 0.184 (0.252)	Data 0.125 (0.190)	Loss 5.0075 (4.9903)	Prec@1 4.297 (4.813)	Prec@5 14.062 (16.422)
Epoch: [13][3220/7045]	Time 0.142 (0.252)	Data 0.090 (0.190)	Loss 4.9802 (4.9901)	Prec@1 5.859 (4.814)	Prec@5 18.750 (16.425)
Epoch: [13][3230/7045]	Time 0.110 (0.252)	Data 0.051 (0.190)	Loss 5.1156 (4.9901)	Prec@1 4.688 (4.812)	Prec@5 13.281 (16.423)
Epoch: [13][3240/7045]	Time 0.116 (0.252)	Data 0.064 (0.189)	Loss 4.9576 (4.9901)	Prec@1 8.594 (4.812)	Prec@5 16.406 (16.421)
Epoch: [13][3250/7045]	Time 0.146 (0.252)	Data 0.095 (0.190)	Loss 4.8399 (4.9902)	Prec@1 5.469 (4.813)	Prec@5 16.797 (16.421)
Epoch: [13][3260/7045]	Time 0.101 (0.252)	Data 0.002 (0.190)	Loss 5.1409 (4.9902)	Prec@1 1.172 (4.812)	Prec@5 11.328 (16.419)
Epoch: [13][3270/7045]	Time 0.421 (0.252)	Data 0.370 (0.190)	Loss 5.1245 (4.9901)	Prec@1 3.906 (4.813)	Prec@5 14.062 (16.419)
Epoch: [13][3280/7045]	Time 0.181 (0.252)	Data 0.129 (0.190)	Loss 5.0046 (4.9902)	Prec@1 4.688 (4.813)	Prec@5 14.453 (16.419)
Epoch: [13][3290/7045]	Time 0.537 (0.252)	Data 0.478 (0.190)	Loss 4.9899 (4.9903)	Prec@1 6.250 (4.813)	Prec@5 17.188 (16.418)
Epoch: [13][3300/7045]	Time 0.228 (0.252)	Data 0.177 (0.190)	Loss 4.8968 (4.9904)	Prec@1 5.078 (4.813)	Prec@5 17.188 (16.417)
Epoch: [13][3310/7045]	Time 0.326 (0.252)	Data 0.274 (0.190)	Loss 5.0548 (4.9903)	Prec@1 3.516 (4.814)	Prec@5 14.844 (16.419)
Epoch: [13][3320/7045]	Time 0.251 (0.252)	Data 0.201 (0.190)	Loss 4.9033 (4.9902)	Prec@1 5.859 (4.816)	Prec@5 17.578 (16.423)
Epoch: [13][3330/7045]	Time 0.101 (0.252)	Data 0.008 (0.190)	Loss 5.0655 (4.9902)	Prec@1 6.641 (4.816)	Prec@5 14.844 (16.423)
Epoch: [13][3340/7045]	Time 0.102 (0.252)	Data 0.001 (0.190)	Loss 5.2859 (4.9904)	Prec@1 3.906 (4.815)	Prec@5 12.500 (16.421)
Epoch: [13][3350/7045]	Time 0.269 (0.252)	Data 0.219 (0.190)	Loss 4.9978 (4.9905)	Prec@1 5.078 (4.815)	Prec@5 17.188 (16.420)
Epoch: [13][3360/7045]	Time 0.494 (0.252)	Data 0.443 (0.190)	Loss 5.0033 (4.9905)	Prec@1 4.297 (4.815)	Prec@5 19.141 (16.422)
Epoch: [13][3370/7045]	Time 0.284 (0.252)	Data 0.233 (0.190)	Loss 4.8934 (4.9903)	Prec@1 5.078 (4.815)	Prec@5 17.578 (16.423)
Epoch: [13][3380/7045]	Time 0.350 (0.252)	Data 0.299 (0.190)	Loss 4.9233 (4.9902)	Prec@1 6.250 (4.817)	Prec@5 18.359 (16.425)
Epoch: [13][3390/7045]	Time 0.165 (0.252)	Data 0.115 (0.190)	Loss 5.0179 (4.9903)	Prec@1 5.078 (4.815)	Prec@5 18.359 (16.420)
Epoch: [13][3400/7045]	Time 0.533 (0.252)	Data 0.482 (0.190)	Loss 5.1527 (4.9903)	Prec@1 7.031 (4.818)	Prec@5 16.016 (16.423)
Epoch: [13][3410/7045]	Time 0.165 (0.252)	Data 0.114 (0.190)	Loss 4.8007 (4.9902)	Prec@1 5.469 (4.817)	Prec@5 22.266 (16.423)
Epoch: [13][3420/7045]	Time 0.136 (0.252)	Data 0.084 (0.190)	Loss 4.9708 (4.9902)	Prec@1 4.688 (4.816)	Prec@5 14.844 (16.424)
Epoch: [13][3430/7045]	Time 0.185 (0.252)	Data 0.134 (0.189)	Loss 4.8447 (4.9901)	Prec@1 5.469 (4.819)	Prec@5 17.578 (16.428)
Epoch: [13][3440/7045]	Time 0.101 (0.252)	Data 0.001 (0.190)	Loss 5.1054 (4.9901)	Prec@1 5.859 (4.820)	Prec@5 17.578 (16.430)
Epoch: [13][3450/7045]	Time 0.110 (0.252)	Data 0.058 (0.189)	Loss 4.9938 (4.9900)	Prec@1 4.688 (4.821)	Prec@5 14.453 (16.432)
Epoch: [13][3460/7045]	Time 0.102 (0.252)	Data 0.001 (0.189)	Loss 5.0641 (4.9900)	Prec@1 4.688 (4.820)	Prec@5 12.891 (16.431)
Epoch: [13][3470/7045]	Time 0.102 (0.252)	Data 0.045 (0.189)	Loss 5.0714 (4.9898)	Prec@1 5.078 (4.820)	Prec@5 16.016 (16.433)
Epoch: [13][3480/7045]	Time 0.110 (0.252)	Data 0.004 (0.189)	Loss 4.9735 (4.9897)	Prec@1 3.906 (4.819)	Prec@5 14.062 (16.434)
Epoch: [13][3490/7045]	Time 0.109 (0.252)	Data 0.058 (0.189)	Loss 4.9952 (4.9898)	Prec@1 6.250 (4.820)	Prec@5 16.016 (16.433)
Epoch: [13][3500/7045]	Time 0.119 (0.252)	Data 0.063 (0.189)	Loss 5.0385 (4.9899)	Prec@1 3.125 (4.820)	Prec@5 13.672 (16.432)
Epoch: [13][3510/7045]	Time 0.111 (0.252)	Data 0.059 (0.189)	Loss 4.9611 (4.9900)	Prec@1 5.469 (4.818)	Prec@5 16.406 (16.427)
Epoch: [13][3520/7045]	Time 0.109 (0.252)	Data 0.008 (0.189)	Loss 5.0337 (4.9901)	Prec@1 4.688 (4.817)	Prec@5 14.844 (16.426)
Epoch: [13][3530/7045]	Time 0.102 (0.252)	Data 0.002 (0.189)	Loss 5.0207 (4.9902)	Prec@1 4.297 (4.817)	Prec@5 17.578 (16.424)
Epoch: [13][3540/7045]	Time 0.111 (0.252)	Data 0.001 (0.189)	Loss 5.1069 (4.9903)	Prec@1 3.516 (4.816)	Prec@5 19.141 (16.423)
Epoch: [13][3550/7045]	Time 0.102 (0.251)	Data 0.001 (0.189)	Loss 5.0037 (4.9904)	Prec@1 3.516 (4.816)	Prec@5 14.453 (16.422)
Epoch: [13][3560/7045]	Time 0.107 (0.252)	Data 0.006 (0.189)	Loss 5.1504 (4.9904)	Prec@1 3.125 (4.818)	Prec@5 12.109 (16.423)
Epoch: [13][3570/7045]	Time 0.103 (0.251)	Data 0.001 (0.189)	Loss 4.8030 (4.9902)	Prec@1 6.250 (4.819)	Prec@5 18.359 (16.425)
Epoch: [13][3580/7045]	Time 0.107 (0.252)	Data 0.005 (0.189)	Loss 4.9914 (4.9904)	Prec@1 3.906 (4.816)	Prec@5 19.141 (16.421)
Epoch: [13][3590/7045]	Time 0.381 (0.251)	Data 0.331 (0.189)	Loss 4.9308 (4.9905)	Prec@1 5.469 (4.815)	Prec@5 18.750 (16.416)
Epoch: [13][3600/7045]	Time 0.198 (0.251)	Data 0.146 (0.189)	Loss 4.9689 (4.9906)	Prec@1 6.641 (4.814)	Prec@5 15.234 (16.411)
Epoch: [13][3610/7045]	Time 0.614 (0.252)	Data 0.563 (0.189)	Loss 5.0525 (4.9906)	Prec@1 3.906 (4.814)	Prec@5 17.188 (16.409)
Epoch: [13][3620/7045]	Time 0.102 (0.251)	Data 0.001 (0.189)	Loss 4.9625 (4.9907)	Prec@1 5.469 (4.813)	Prec@5 17.578 (16.408)
Epoch: [13][3630/7045]	Time 0.104 (0.252)	Data 0.051 (0.189)	Loss 5.0451 (4.9907)	Prec@1 3.125 (4.813)	Prec@5 13.672 (16.407)
Epoch: [13][3640/7045]	Time 0.101 (0.251)	Data 0.001 (0.189)	Loss 5.0200 (4.9908)	Prec@1 6.250 (4.813)	Prec@5 17.969 (16.405)
Epoch: [13][3650/7045]	Time 0.101 (0.251)	Data 0.003 (0.189)	Loss 5.0219 (4.9909)	Prec@1 3.906 (4.813)	Prec@5 17.188 (16.404)
Epoch: [13][3660/7045]	Time 0.238 (0.251)	Data 0.187 (0.189)	Loss 4.9639 (4.9906)	Prec@1 5.078 (4.817)	Prec@5 16.797 (16.409)
Epoch: [13][3670/7045]	Time 0.101 (0.251)	Data 0.001 (0.189)	Loss 4.9060 (4.9905)	Prec@1 4.688 (4.816)	Prec@5 17.188 (16.410)
Epoch: [13][3680/7045]	Time 0.130 (0.251)	Data 0.079 (0.189)	Loss 5.0961 (4.9905)	Prec@1 5.078 (4.817)	Prec@5 15.234 (16.408)
Epoch: [13][3690/7045]	Time 0.229 (0.251)	Data 0.176 (0.189)	Loss 4.9401 (4.9905)	Prec@1 4.688 (4.820)	Prec@5 15.625 (16.411)
Epoch: [13][3700/7045]	Time 0.101 (0.251)	Data 0.002 (0.189)	Loss 4.9825 (4.9905)	Prec@1 5.078 (4.818)	Prec@5 16.406 (16.411)
Epoch: [13][3710/7045]	Time 0.103 (0.251)	Data 0.001 (0.188)	Loss 4.9685 (4.9905)	Prec@1 3.906 (4.818)	Prec@5 14.453 (16.411)
Epoch: [13][3720/7045]	Time 0.099 (0.251)	Data 0.001 (0.189)	Loss 5.0582 (4.9905)	Prec@1 4.688 (4.817)	Prec@5 16.797 (16.409)
Epoch: [13][3730/7045]	Time 0.100 (0.251)	Data 0.003 (0.188)	Loss 4.9146 (4.9905)	Prec@1 6.250 (4.816)	Prec@5 18.750 (16.409)
Epoch: [13][3740/7045]	Time 0.101 (0.251)	Data 0.001 (0.188)	Loss 5.1121 (4.9907)	Prec@1 3.906 (4.815)	Prec@5 12.500 (16.406)
Epoch: [13][3750/7045]	Time 0.248 (0.251)	Data 0.197 (0.188)	Loss 5.0658 (4.9909)	Prec@1 5.078 (4.814)	Prec@5 15.625 (16.405)
Epoch: [13][3760/7045]	Time 0.102 (0.251)	Data 0.008 (0.188)	Loss 5.0278 (4.9909)	Prec@1 5.859 (4.814)	Prec@5 18.750 (16.406)
Epoch: [13][3770/7045]	Time 0.444 (0.251)	Data 0.392 (0.188)	Loss 5.0170 (4.9910)	Prec@1 3.906 (4.813)	Prec@5 17.969 (16.405)
Epoch: [13][3780/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 4.9669 (4.9908)	Prec@1 4.688 (4.814)	Prec@5 16.406 (16.413)
Epoch: [13][3790/7045]	Time 0.580 (0.251)	Data 0.529 (0.188)	Loss 4.8669 (4.9907)	Prec@1 6.250 (4.814)	Prec@5 17.578 (16.416)
Epoch: [13][3800/7045]	Time 0.101 (0.251)	Data 0.001 (0.188)	Loss 4.9096 (4.9906)	Prec@1 4.297 (4.814)	Prec@5 17.578 (16.418)
Epoch: [13][3810/7045]	Time 0.413 (0.251)	Data 0.362 (0.188)	Loss 5.1105 (4.9908)	Prec@1 4.297 (4.813)	Prec@5 14.844 (16.417)
Epoch: [13][3820/7045]	Time 0.108 (0.251)	Data 0.056 (0.188)	Loss 4.9861 (4.9909)	Prec@1 2.344 (4.811)	Prec@5 19.141 (16.415)
Epoch: [13][3830/7045]	Time 0.310 (0.251)	Data 0.259 (0.188)	Loss 4.9101 (4.9907)	Prec@1 4.688 (4.811)	Prec@5 17.578 (16.417)
Epoch: [13][3840/7045]	Time 0.153 (0.251)	Data 0.101 (0.188)	Loss 4.8594 (4.9907)	Prec@1 6.641 (4.812)	Prec@5 19.141 (16.420)
Epoch: [13][3850/7045]	Time 0.403 (0.251)	Data 0.351 (0.188)	Loss 5.0276 (4.9909)	Prec@1 6.250 (4.812)	Prec@5 18.750 (16.418)
Epoch: [13][3860/7045]	Time 0.448 (0.251)	Data 0.396 (0.188)	Loss 4.9668 (4.9909)	Prec@1 5.078 (4.812)	Prec@5 16.406 (16.416)
Epoch: [13][3870/7045]	Time 0.320 (0.251)	Data 0.268 (0.188)	Loss 5.0587 (4.9909)	Prec@1 3.516 (4.813)	Prec@5 12.891 (16.414)
Epoch: [13][3880/7045]	Time 0.509 (0.251)	Data 0.458 (0.188)	Loss 5.0541 (4.9909)	Prec@1 3.516 (4.813)	Prec@5 13.281 (16.415)
Epoch: [13][3890/7045]	Time 0.157 (0.251)	Data 0.106 (0.188)	Loss 5.0725 (4.9911)	Prec@1 4.688 (4.812)	Prec@5 13.672 (16.412)
Epoch: [13][3900/7045]	Time 0.293 (0.251)	Data 0.241 (0.188)	Loss 5.1235 (4.9913)	Prec@1 4.297 (4.810)	Prec@5 13.281 (16.409)
Epoch: [13][3910/7045]	Time 0.101 (0.251)	Data 0.001 (0.188)	Loss 5.1009 (4.9914)	Prec@1 3.906 (4.809)	Prec@5 14.453 (16.408)
Epoch: [13][3920/7045]	Time 0.105 (0.251)	Data 0.053 (0.188)	Loss 5.1301 (4.9916)	Prec@1 5.469 (4.808)	Prec@5 14.453 (16.403)
Epoch: [13][3930/7045]	Time 0.132 (0.251)	Data 0.081 (0.188)	Loss 5.1297 (4.9917)	Prec@1 3.125 (4.807)	Prec@5 11.719 (16.402)
Epoch: [13][3940/7045]	Time 0.415 (0.251)	Data 0.359 (0.188)	Loss 4.8259 (4.9917)	Prec@1 6.250 (4.807)	Prec@5 19.531 (16.400)
Epoch: [13][3950/7045]	Time 0.109 (0.251)	Data 0.058 (0.188)	Loss 4.9618 (4.9917)	Prec@1 3.906 (4.807)	Prec@5 16.016 (16.399)
Epoch: [13][3960/7045]	Time 0.250 (0.251)	Data 0.198 (0.188)	Loss 4.9478 (4.9918)	Prec@1 5.078 (4.807)	Prec@5 16.016 (16.398)
Epoch: [13][3970/7045]	Time 0.228 (0.251)	Data 0.176 (0.188)	Loss 5.0011 (4.9916)	Prec@1 3.125 (4.807)	Prec@5 13.281 (16.398)
Epoch: [13][3980/7045]	Time 0.100 (0.251)	Data 0.046 (0.188)	Loss 5.2877 (4.9918)	Prec@1 3.125 (4.806)	Prec@5 10.156 (16.395)
Epoch: [13][3990/7045]	Time 0.467 (0.251)	Data 0.416 (0.188)	Loss 5.0852 (4.9920)	Prec@1 2.344 (4.805)	Prec@5 14.062 (16.390)
Epoch: [13][4000/7045]	Time 0.384 (0.251)	Data 0.333 (0.188)	Loss 5.2016 (4.9922)	Prec@1 6.250 (4.804)	Prec@5 15.625 (16.386)
Epoch: [13][4010/7045]	Time 0.499 (0.251)	Data 0.448 (0.188)	Loss 5.0336 (4.9923)	Prec@1 5.469 (4.804)	Prec@5 17.188 (16.385)
Epoch: [13][4020/7045]	Time 0.102 (0.251)	Data 0.007 (0.188)	Loss 4.9420 (4.9922)	Prec@1 5.469 (4.805)	Prec@5 14.062 (16.387)
Epoch: [13][4030/7045]	Time 0.201 (0.251)	Data 0.150 (0.188)	Loss 5.0563 (4.9922)	Prec@1 3.516 (4.806)	Prec@5 16.016 (16.390)
Epoch: [13][4040/7045]	Time 0.208 (0.251)	Data 0.157 (0.188)	Loss 5.1022 (4.9921)	Prec@1 3.906 (4.807)	Prec@5 12.109 (16.391)
Epoch: [13][4050/7045]	Time 0.102 (0.251)	Data 0.004 (0.188)	Loss 4.9030 (4.9920)	Prec@1 5.078 (4.805)	Prec@5 17.969 (16.392)
Epoch: [13][4060/7045]	Time 0.205 (0.251)	Data 0.154 (0.188)	Loss 5.0128 (4.9919)	Prec@1 3.125 (4.805)	Prec@5 17.969 (16.395)
Epoch: [13][4070/7045]	Time 0.246 (0.251)	Data 0.195 (0.188)	Loss 4.8504 (4.9918)	Prec@1 5.469 (4.804)	Prec@5 14.062 (16.393)
Epoch: [13][4080/7045]	Time 0.241 (0.251)	Data 0.191 (0.188)	Loss 4.9316 (4.9918)	Prec@1 5.469 (4.803)	Prec@5 19.922 (16.395)
Epoch: [13][4090/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 5.0415 (4.9920)	Prec@1 3.516 (4.802)	Prec@5 15.625 (16.393)
Epoch: [13][4100/7045]	Time 0.125 (0.251)	Data 0.074 (0.188)	Loss 4.9075 (4.9918)	Prec@1 1.953 (4.801)	Prec@5 16.797 (16.394)
Epoch: [13][4110/7045]	Time 0.516 (0.251)	Data 0.463 (0.188)	Loss 4.8836 (4.9918)	Prec@1 4.688 (4.801)	Prec@5 19.141 (16.396)
Epoch: [13][4120/7045]	Time 0.221 (0.251)	Data 0.170 (0.188)	Loss 5.0731 (4.9919)	Prec@1 4.688 (4.801)	Prec@5 14.844 (16.393)
Epoch: [13][4130/7045]	Time 0.396 (0.251)	Data 0.345 (0.188)	Loss 5.0949 (4.9919)	Prec@1 3.516 (4.801)	Prec@5 14.062 (16.393)
Epoch: [13][4140/7045]	Time 0.217 (0.251)	Data 0.167 (0.188)	Loss 5.1846 (4.9920)	Prec@1 4.688 (4.801)	Prec@5 13.672 (16.391)
Epoch: [13][4150/7045]	Time 0.264 (0.251)	Data 0.213 (0.188)	Loss 4.9872 (4.9920)	Prec@1 5.859 (4.802)	Prec@5 18.750 (16.394)
Epoch: [13][4160/7045]	Time 0.101 (0.251)	Data 0.001 (0.188)	Loss 4.9401 (4.9921)	Prec@1 3.516 (4.802)	Prec@5 21.094 (16.395)
Epoch: [13][4170/7045]	Time 0.192 (0.251)	Data 0.141 (0.188)	Loss 5.0520 (4.9921)	Prec@1 3.516 (4.802)	Prec@5 13.672 (16.394)
Epoch: [13][4180/7045]	Time 0.532 (0.251)	Data 0.480 (0.188)	Loss 5.0368 (4.9921)	Prec@1 4.297 (4.803)	Prec@5 16.016 (16.394)
Epoch: [13][4190/7045]	Time 0.293 (0.251)	Data 0.242 (0.188)	Loss 4.9297 (4.9921)	Prec@1 5.078 (4.803)	Prec@5 17.578 (16.394)
Epoch: [13][4200/7045]	Time 0.338 (0.251)	Data 0.285 (0.188)	Loss 4.9728 (4.9919)	Prec@1 5.078 (4.804)	Prec@5 17.578 (16.395)
Epoch: [13][4210/7045]	Time 0.227 (0.251)	Data 0.177 (0.188)	Loss 5.0165 (4.9920)	Prec@1 4.297 (4.804)	Prec@5 15.625 (16.394)
Epoch: [13][4220/7045]	Time 0.115 (0.251)	Data 0.063 (0.188)	Loss 4.8759 (4.9919)	Prec@1 7.812 (4.805)	Prec@5 19.141 (16.395)
Epoch: [13][4230/7045]	Time 0.353 (0.251)	Data 0.301 (0.188)	Loss 4.9819 (4.9919)	Prec@1 5.469 (4.805)	Prec@5 15.234 (16.395)
Epoch: [13][4240/7045]	Time 0.138 (0.251)	Data 0.086 (0.188)	Loss 4.8933 (4.9919)	Prec@1 6.250 (4.805)	Prec@5 17.188 (16.394)
Epoch: [13][4250/7045]	Time 0.519 (0.251)	Data 0.462 (0.188)	Loss 4.8274 (4.9919)	Prec@1 5.078 (4.806)	Prec@5 14.453 (16.395)
Epoch: [13][4260/7045]	Time 0.101 (0.251)	Data 0.001 (0.188)	Loss 4.8826 (4.9917)	Prec@1 3.906 (4.808)	Prec@5 17.188 (16.399)
Epoch: [13][4270/7045]	Time 0.299 (0.251)	Data 0.248 (0.188)	Loss 5.0347 (4.9917)	Prec@1 3.125 (4.808)	Prec@5 13.281 (16.398)
Epoch: [13][4280/7045]	Time 0.223 (0.251)	Data 0.172 (0.188)	Loss 5.0651 (4.9917)	Prec@1 4.688 (4.808)	Prec@5 13.672 (16.398)
Epoch: [13][4290/7045]	Time 0.282 (0.251)	Data 0.230 (0.188)	Loss 4.9078 (4.9919)	Prec@1 5.859 (4.808)	Prec@5 21.094 (16.399)
Epoch: [13][4300/7045]	Time 0.200 (0.251)	Data 0.148 (0.188)	Loss 5.0796 (4.9917)	Prec@1 3.125 (4.809)	Prec@5 10.938 (16.403)
Epoch: [13][4310/7045]	Time 0.103 (0.251)	Data 0.044 (0.188)	Loss 5.0593 (4.9918)	Prec@1 3.906 (4.808)	Prec@5 19.141 (16.404)
Epoch: [13][4320/7045]	Time 0.316 (0.251)	Data 0.264 (0.188)	Loss 4.8514 (4.9917)	Prec@1 7.031 (4.809)	Prec@5 23.047 (16.405)
Epoch: [13][4330/7045]	Time 0.102 (0.251)	Data 0.005 (0.188)	Loss 5.0541 (4.9917)	Prec@1 5.078 (4.810)	Prec@5 16.797 (16.405)
Epoch: [13][4340/7045]	Time 0.388 (0.251)	Data 0.329 (0.188)	Loss 5.0578 (4.9918)	Prec@1 3.906 (4.809)	Prec@5 13.281 (16.403)
Epoch: [13][4350/7045]	Time 0.106 (0.251)	Data 0.052 (0.188)	Loss 5.0123 (4.9918)	Prec@1 3.906 (4.809)	Prec@5 13.281 (16.399)
Epoch: [13][4360/7045]	Time 0.433 (0.251)	Data 0.382 (0.188)	Loss 5.1732 (4.9918)	Prec@1 3.516 (4.809)	Prec@5 12.891 (16.400)
Epoch: [13][4370/7045]	Time 0.106 (0.251)	Data 0.054 (0.188)	Loss 4.9996 (4.9918)	Prec@1 3.906 (4.810)	Prec@5 10.938 (16.400)
Epoch: [13][4380/7045]	Time 0.211 (0.251)	Data 0.160 (0.188)	Loss 4.9899 (4.9918)	Prec@1 5.859 (4.809)	Prec@5 17.969 (16.399)
Epoch: [13][4390/7045]	Time 0.235 (0.251)	Data 0.182 (0.188)	Loss 5.1411 (4.9919)	Prec@1 6.641 (4.808)	Prec@5 18.359 (16.395)
Epoch: [13][4400/7045]	Time 0.100 (0.251)	Data 0.045 (0.188)	Loss 5.1306 (4.9922)	Prec@1 2.734 (4.806)	Prec@5 13.281 (16.390)
Epoch: [13][4410/7045]	Time 0.195 (0.251)	Data 0.143 (0.188)	Loss 4.9904 (4.9922)	Prec@1 5.078 (4.807)	Prec@5 16.406 (16.392)
Epoch: [13][4420/7045]	Time 0.341 (0.251)	Data 0.290 (0.188)	Loss 4.9653 (4.9923)	Prec@1 3.125 (4.806)	Prec@5 16.797 (16.392)
Epoch: [13][4430/7045]	Time 0.281 (0.251)	Data 0.224 (0.188)	Loss 5.0771 (4.9924)	Prec@1 4.297 (4.804)	Prec@5 13.281 (16.390)
Epoch: [13][4440/7045]	Time 0.563 (0.251)	Data 0.512 (0.188)	Loss 4.9253 (4.9924)	Prec@1 4.297 (4.804)	Prec@5 16.797 (16.390)
Epoch: [13][4450/7045]	Time 0.168 (0.251)	Data 0.117 (0.188)	Loss 4.8420 (4.9923)	Prec@1 8.203 (4.805)	Prec@5 22.656 (16.392)
Epoch: [13][4460/7045]	Time 0.324 (0.251)	Data 0.274 (0.188)	Loss 4.9012 (4.9923)	Prec@1 4.297 (4.805)	Prec@5 16.016 (16.393)
Epoch: [13][4470/7045]	Time 0.200 (0.251)	Data 0.141 (0.188)	Loss 4.9837 (4.9922)	Prec@1 5.078 (4.806)	Prec@5 14.062 (16.394)
Epoch: [13][4480/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 5.1052 (4.9923)	Prec@1 2.344 (4.807)	Prec@5 13.281 (16.393)
Epoch: [13][4490/7045]	Time 0.140 (0.251)	Data 0.088 (0.188)	Loss 4.9581 (4.9924)	Prec@1 5.469 (4.806)	Prec@5 19.922 (16.394)
Epoch: [13][4500/7045]	Time 0.396 (0.251)	Data 0.344 (0.188)	Loss 5.0418 (4.9924)	Prec@1 4.297 (4.806)	Prec@5 13.672 (16.394)
Epoch: [13][4510/7045]	Time 0.138 (0.251)	Data 0.087 (0.188)	Loss 5.1160 (4.9923)	Prec@1 3.906 (4.807)	Prec@5 12.891 (16.394)
Epoch: [13][4520/7045]	Time 0.414 (0.251)	Data 0.363 (0.188)	Loss 4.8375 (4.9923)	Prec@1 3.125 (4.806)	Prec@5 16.016 (16.393)
Epoch: [13][4530/7045]	Time 0.234 (0.251)	Data 0.182 (0.188)	Loss 4.9500 (4.9922)	Prec@1 2.734 (4.807)	Prec@5 15.625 (16.396)
Epoch: [13][4540/7045]	Time 0.169 (0.251)	Data 0.118 (0.188)	Loss 4.9943 (4.9921)	Prec@1 5.469 (4.809)	Prec@5 17.969 (16.400)
Epoch: [13][4550/7045]	Time 0.101 (0.251)	Data 0.001 (0.188)	Loss 5.0781 (4.9923)	Prec@1 2.734 (4.808)	Prec@5 10.938 (16.398)
Epoch: [13][4560/7045]	Time 0.202 (0.251)	Data 0.151 (0.188)	Loss 4.9307 (4.9923)	Prec@1 4.297 (4.807)	Prec@5 16.406 (16.398)
Epoch: [13][4570/7045]	Time 0.103 (0.251)	Data 0.046 (0.188)	Loss 5.2415 (4.9924)	Prec@1 4.297 (4.804)	Prec@5 14.453 (16.396)
Epoch: [13][4580/7045]	Time 0.534 (0.251)	Data 0.477 (0.188)	Loss 5.0151 (4.9923)	Prec@1 4.688 (4.806)	Prec@5 16.797 (16.398)
Epoch: [13][4590/7045]	Time 0.366 (0.251)	Data 0.308 (0.188)	Loss 4.9123 (4.9923)	Prec@1 7.031 (4.806)	Prec@5 18.359 (16.398)
Epoch: [13][4600/7045]	Time 0.213 (0.251)	Data 0.162 (0.188)	Loss 4.9296 (4.9924)	Prec@1 3.125 (4.804)	Prec@5 17.969 (16.395)
Epoch: [13][4610/7045]	Time 0.526 (0.251)	Data 0.476 (0.189)	Loss 5.0176 (4.9924)	Prec@1 4.297 (4.804)	Prec@5 13.672 (16.396)
Epoch: [13][4620/7045]	Time 0.209 (0.251)	Data 0.151 (0.189)	Loss 4.9622 (4.9921)	Prec@1 4.688 (4.808)	Prec@5 16.406 (16.401)
Epoch: [13][4630/7045]	Time 0.338 (0.251)	Data 0.286 (0.189)	Loss 4.9197 (4.9920)	Prec@1 5.469 (4.811)	Prec@5 16.016 (16.405)
Epoch: [13][4640/7045]	Time 0.406 (0.251)	Data 0.355 (0.189)	Loss 4.9285 (4.9919)	Prec@1 1.562 (4.811)	Prec@5 12.500 (16.406)
Epoch: [13][4650/7045]	Time 0.274 (0.251)	Data 0.223 (0.189)	Loss 5.0725 (4.9919)	Prec@1 5.078 (4.811)	Prec@5 13.281 (16.406)
Epoch: [13][4660/7045]	Time 0.313 (0.251)	Data 0.261 (0.189)	Loss 4.9645 (4.9920)	Prec@1 5.469 (4.810)	Prec@5 16.406 (16.404)
Epoch: [13][4670/7045]	Time 0.498 (0.251)	Data 0.446 (0.189)	Loss 4.9134 (4.9920)	Prec@1 5.078 (4.811)	Prec@5 16.016 (16.402)
Epoch: [13][4680/7045]	Time 0.104 (0.251)	Data 0.053 (0.189)	Loss 4.8887 (4.9919)	Prec@1 3.906 (4.812)	Prec@5 14.062 (16.406)
Epoch: [13][4690/7045]	Time 0.486 (0.251)	Data 0.434 (0.189)	Loss 4.9080 (4.9919)	Prec@1 7.031 (4.814)	Prec@5 17.969 (16.408)
Epoch: [13][4700/7045]	Time 0.108 (0.251)	Data 0.055 (0.189)	Loss 5.0645 (4.9918)	Prec@1 3.125 (4.814)	Prec@5 15.234 (16.408)
Epoch: [13][4710/7045]	Time 0.466 (0.251)	Data 0.414 (0.189)	Loss 5.0695 (4.9917)	Prec@1 4.297 (4.815)	Prec@5 16.016 (16.409)
Epoch: [13][4720/7045]	Time 0.284 (0.251)	Data 0.233 (0.189)	Loss 5.0272 (4.9916)	Prec@1 4.297 (4.816)	Prec@5 16.016 (16.410)
Epoch: [13][4730/7045]	Time 0.253 (0.251)	Data 0.200 (0.189)	Loss 5.0729 (4.9918)	Prec@1 3.906 (4.815)	Prec@5 15.625 (16.406)
Epoch: [13][4740/7045]	Time 0.107 (0.251)	Data 0.001 (0.189)	Loss 5.2274 (4.9920)	Prec@1 1.953 (4.814)	Prec@5 13.672 (16.403)
Epoch: [13][4750/7045]	Time 0.149 (0.251)	Data 0.097 (0.189)	Loss 5.1077 (4.9921)	Prec@1 6.250 (4.813)	Prec@5 15.234 (16.402)
Epoch: [13][4760/7045]	Time 0.119 (0.251)	Data 0.059 (0.189)	Loss 5.1074 (4.9922)	Prec@1 3.906 (4.811)	Prec@5 13.281 (16.400)
Epoch: [13][4770/7045]	Time 0.252 (0.251)	Data 0.200 (0.189)	Loss 4.9070 (4.9921)	Prec@1 4.297 (4.811)	Prec@5 16.797 (16.401)
Epoch: [13][4780/7045]	Time 0.108 (0.251)	Data 0.047 (0.189)	Loss 5.1500 (4.9922)	Prec@1 4.297 (4.810)	Prec@5 13.281 (16.399)
Epoch: [13][4790/7045]	Time 0.270 (0.251)	Data 0.219 (0.188)	Loss 4.9447 (4.9921)	Prec@1 4.688 (4.811)	Prec@5 16.406 (16.400)
Epoch: [13][4800/7045]	Time 0.101 (0.251)	Data 0.048 (0.189)	Loss 4.8863 (4.9919)	Prec@1 6.250 (4.813)	Prec@5 19.922 (16.404)
Epoch: [13][4810/7045]	Time 0.234 (0.251)	Data 0.183 (0.188)	Loss 5.0005 (4.9920)	Prec@1 4.688 (4.813)	Prec@5 16.016 (16.402)
Epoch: [13][4820/7045]	Time 0.104 (0.251)	Data 0.051 (0.188)	Loss 5.0124 (4.9920)	Prec@1 3.906 (4.812)	Prec@5 16.016 (16.401)
Epoch: [13][4830/7045]	Time 0.157 (0.251)	Data 0.106 (0.188)	Loss 5.0525 (4.9921)	Prec@1 5.469 (4.812)	Prec@5 17.188 (16.399)
Epoch: [13][4840/7045]	Time 0.107 (0.251)	Data 0.054 (0.188)	Loss 4.8345 (4.9922)	Prec@1 5.859 (4.811)	Prec@5 19.141 (16.398)
Epoch: [13][4850/7045]	Time 0.312 (0.251)	Data 0.256 (0.189)	Loss 4.9857 (4.9921)	Prec@1 5.469 (4.812)	Prec@5 17.188 (16.400)
Epoch: [13][4860/7045]	Time 0.101 (0.251)	Data 0.001 (0.188)	Loss 5.0391 (4.9921)	Prec@1 5.078 (4.812)	Prec@5 15.625 (16.399)
Epoch: [13][4870/7045]	Time 0.428 (0.251)	Data 0.369 (0.188)	Loss 4.9587 (4.9921)	Prec@1 5.469 (4.813)	Prec@5 20.703 (16.400)
Epoch: [13][4880/7045]	Time 0.421 (0.251)	Data 0.369 (0.188)	Loss 4.9481 (4.9922)	Prec@1 5.469 (4.812)	Prec@5 18.750 (16.400)
Epoch: [13][4890/7045]	Time 0.101 (0.251)	Data 0.001 (0.188)	Loss 5.0288 (4.9923)	Prec@1 3.125 (4.811)	Prec@5 10.938 (16.396)
Epoch: [13][4900/7045]	Time 0.102 (0.251)	Data 0.045 (0.188)	Loss 4.8747 (4.9921)	Prec@1 5.859 (4.813)	Prec@5 19.531 (16.398)
Epoch: [13][4910/7045]	Time 0.305 (0.251)	Data 0.253 (0.188)	Loss 4.8918 (4.9920)	Prec@1 8.594 (4.814)	Prec@5 19.531 (16.402)
Epoch: [13][4920/7045]	Time 0.123 (0.251)	Data 0.072 (0.188)	Loss 4.9803 (4.9920)	Prec@1 5.859 (4.814)	Prec@5 16.797 (16.400)
Epoch: [13][4930/7045]	Time 0.210 (0.251)	Data 0.158 (0.188)	Loss 4.9875 (4.9920)	Prec@1 4.688 (4.813)	Prec@5 18.750 (16.402)
Epoch: [13][4940/7045]	Time 0.131 (0.251)	Data 0.081 (0.188)	Loss 4.9127 (4.9919)	Prec@1 7.422 (4.813)	Prec@5 17.969 (16.403)
Epoch: [13][4950/7045]	Time 0.164 (0.251)	Data 0.113 (0.188)	Loss 4.9827 (4.9918)	Prec@1 3.906 (4.815)	Prec@5 17.969 (16.406)
Epoch: [13][4960/7045]	Time 0.101 (0.251)	Data 0.001 (0.188)	Loss 4.9120 (4.9917)	Prec@1 5.469 (4.816)	Prec@5 18.359 (16.409)
Epoch: [13][4970/7045]	Time 0.451 (0.251)	Data 0.396 (0.188)	Loss 4.9464 (4.9917)	Prec@1 2.344 (4.816)	Prec@5 16.797 (16.409)
Epoch: [13][4980/7045]	Time 0.101 (0.251)	Data 0.001 (0.188)	Loss 4.9419 (4.9918)	Prec@1 4.297 (4.816)	Prec@5 16.406 (16.409)
Epoch: [13][4990/7045]	Time 0.469 (0.251)	Data 0.418 (0.188)	Loss 4.9296 (4.9919)	Prec@1 4.297 (4.815)	Prec@5 17.578 (16.405)
Epoch: [13][5000/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 4.7584 (4.9918)	Prec@1 4.688 (4.815)	Prec@5 20.703 (16.407)
Epoch: [13][5010/7045]	Time 0.449 (0.251)	Data 0.397 (0.188)	Loss 4.9681 (4.9918)	Prec@1 6.250 (4.816)	Prec@5 17.969 (16.408)
Epoch: [13][5020/7045]	Time 0.257 (0.251)	Data 0.206 (0.188)	Loss 4.7479 (4.9917)	Prec@1 8.203 (4.817)	Prec@5 19.922 (16.408)
Epoch: [13][5030/7045]	Time 0.455 (0.251)	Data 0.404 (0.188)	Loss 4.8937 (4.9916)	Prec@1 4.297 (4.818)	Prec@5 17.578 (16.409)
Epoch: [13][5040/7045]	Time 0.234 (0.251)	Data 0.183 (0.188)	Loss 4.9504 (4.9916)	Prec@1 4.297 (4.816)	Prec@5 19.531 (16.410)
Epoch: [13][5050/7045]	Time 0.426 (0.251)	Data 0.376 (0.188)	Loss 5.0073 (4.9916)	Prec@1 3.516 (4.815)	Prec@5 14.453 (16.408)
Epoch: [13][5060/7045]	Time 0.211 (0.251)	Data 0.160 (0.188)	Loss 4.8376 (4.9916)	Prec@1 5.469 (4.814)	Prec@5 20.703 (16.410)
Epoch: [13][5070/7045]	Time 0.327 (0.251)	Data 0.276 (0.188)	Loss 5.0918 (4.9917)	Prec@1 3.516 (4.814)	Prec@5 14.062 (16.408)
Epoch: [13][5080/7045]	Time 0.191 (0.251)	Data 0.141 (0.188)	Loss 4.9767 (4.9918)	Prec@1 4.688 (4.813)	Prec@5 16.797 (16.406)
Epoch: [13][5090/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 5.0024 (4.9919)	Prec@1 3.516 (4.813)	Prec@5 14.453 (16.403)
Epoch: [13][5100/7045]	Time 0.104 (0.251)	Data 0.052 (0.188)	Loss 5.0748 (4.9918)	Prec@1 2.734 (4.812)	Prec@5 14.453 (16.402)
Epoch: [13][5110/7045]	Time 0.437 (0.251)	Data 0.387 (0.188)	Loss 5.0097 (4.9919)	Prec@1 4.297 (4.810)	Prec@5 16.406 (16.400)
Epoch: [13][5120/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 4.9624 (4.9919)	Prec@1 7.031 (4.811)	Prec@5 17.188 (16.400)
Epoch: [13][5130/7045]	Time 0.594 (0.251)	Data 0.536 (0.188)	Loss 4.9591 (4.9918)	Prec@1 5.078 (4.811)	Prec@5 16.406 (16.403)
Epoch: [13][5140/7045]	Time 0.242 (0.251)	Data 0.190 (0.188)	Loss 4.9723 (4.9918)	Prec@1 7.422 (4.810)	Prec@5 19.922 (16.404)
Epoch: [13][5150/7045]	Time 0.501 (0.251)	Data 0.450 (0.188)	Loss 5.0096 (4.9919)	Prec@1 4.297 (4.812)	Prec@5 14.062 (16.404)
Epoch: [13][5160/7045]	Time 0.101 (0.251)	Data 0.002 (0.188)	Loss 4.8611 (4.9918)	Prec@1 3.906 (4.811)	Prec@5 18.750 (16.406)
Epoch: [13][5170/7045]	Time 0.139 (0.251)	Data 0.087 (0.188)	Loss 4.8850 (4.9918)	Prec@1 3.906 (4.812)	Prec@5 20.703 (16.406)
Epoch: [13][5180/7045]	Time 0.102 (0.251)	Data 0.002 (0.188)	Loss 5.1051 (4.9919)	Prec@1 4.297 (4.812)	Prec@5 12.891 (16.406)
Epoch: [13][5190/7045]	Time 0.341 (0.251)	Data 0.289 (0.188)	Loss 5.0471 (4.9920)	Prec@1 3.125 (4.813)	Prec@5 14.062 (16.405)
Epoch: [13][5200/7045]	Time 0.216 (0.251)	Data 0.163 (0.188)	Loss 4.9480 (4.9919)	Prec@1 7.812 (4.813)	Prec@5 20.703 (16.405)
Epoch: [13][5210/7045]	Time 0.134 (0.251)	Data 0.084 (0.188)	Loss 5.0422 (4.9919)	Prec@1 3.125 (4.813)	Prec@5 14.453 (16.404)
Epoch: [13][5220/7045]	Time 0.162 (0.251)	Data 0.110 (0.188)	Loss 4.9759 (4.9919)	Prec@1 2.734 (4.812)	Prec@5 14.844 (16.405)
Epoch: [13][5230/7045]	Time 0.301 (0.251)	Data 0.250 (0.188)	Loss 5.1319 (4.9920)	Prec@1 2.734 (4.812)	Prec@5 15.234 (16.403)
Epoch: [13][5240/7045]	Time 0.100 (0.251)	Data 0.048 (0.188)	Loss 4.9455 (4.9919)	Prec@1 7.422 (4.812)	Prec@5 17.188 (16.403)
Epoch: [13][5250/7045]	Time 0.615 (0.251)	Data 0.563 (0.188)	Loss 5.0209 (4.9920)	Prec@1 5.078 (4.812)	Prec@5 15.234 (16.401)
Epoch: [13][5260/7045]	Time 0.112 (0.251)	Data 0.001 (0.188)	Loss 4.9981 (4.9920)	Prec@1 5.859 (4.812)	Prec@5 16.406 (16.401)
Epoch: [13][5270/7045]	Time 0.517 (0.251)	Data 0.466 (0.188)	Loss 5.1223 (4.9921)	Prec@1 4.688 (4.811)	Prec@5 11.719 (16.397)
Epoch: [13][5280/7045]	Time 0.102 (0.251)	Data 0.050 (0.188)	Loss 5.0721 (4.9921)	Prec@1 3.906 (4.810)	Prec@5 14.844 (16.397)
Epoch: [13][5290/7045]	Time 0.109 (0.251)	Data 0.058 (0.188)	Loss 4.9291 (4.9922)	Prec@1 5.078 (4.810)	Prec@5 16.797 (16.396)
Epoch: [13][5300/7045]	Time 0.209 (0.251)	Data 0.158 (0.188)	Loss 5.1166 (4.9922)	Prec@1 4.297 (4.810)	Prec@5 12.500 (16.397)
Epoch: [13][5310/7045]	Time 0.180 (0.251)	Data 0.129 (0.188)	Loss 5.0088 (4.9923)	Prec@1 6.250 (4.810)	Prec@5 17.188 (16.395)
Epoch: [13][5320/7045]	Time 0.432 (0.251)	Data 0.381 (0.188)	Loss 4.9913 (4.9924)	Prec@1 4.297 (4.810)	Prec@5 14.062 (16.393)
Epoch: [13][5330/7045]	Time 0.102 (0.251)	Data 0.002 (0.188)	Loss 4.9963 (4.9924)	Prec@1 5.859 (4.811)	Prec@5 16.797 (16.395)
Epoch: [13][5340/7045]	Time 0.389 (0.251)	Data 0.337 (0.188)	Loss 5.1124 (4.9924)	Prec@1 3.516 (4.810)	Prec@5 17.578 (16.395)
Epoch: [13][5350/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 5.0073 (4.9925)	Prec@1 5.469 (4.810)	Prec@5 14.453 (16.391)
Epoch: [13][5360/7045]	Time 0.373 (0.251)	Data 0.322 (0.188)	Loss 4.8989 (4.9924)	Prec@1 3.125 (4.809)	Prec@5 16.797 (16.389)
Epoch: [13][5370/7045]	Time 0.198 (0.251)	Data 0.148 (0.188)	Loss 4.8986 (4.9923)	Prec@1 5.469 (4.810)	Prec@5 19.531 (16.391)
Epoch: [13][5380/7045]	Time 0.111 (0.251)	Data 0.052 (0.188)	Loss 4.9131 (4.9922)	Prec@1 5.469 (4.811)	Prec@5 17.188 (16.393)
Epoch: [13][5390/7045]	Time 0.441 (0.251)	Data 0.388 (0.188)	Loss 5.1098 (4.9923)	Prec@1 4.297 (4.810)	Prec@5 13.281 (16.393)
Epoch: [13][5400/7045]	Time 0.237 (0.251)	Data 0.186 (0.188)	Loss 5.0657 (4.9924)	Prec@1 5.078 (4.809)	Prec@5 14.453 (16.391)
Epoch: [13][5410/7045]	Time 0.770 (0.251)	Data 0.718 (0.188)	Loss 5.0523 (4.9925)	Prec@1 3.906 (4.810)	Prec@5 16.406 (16.390)
Epoch: [13][5420/7045]	Time 0.107 (0.251)	Data 0.001 (0.188)	Loss 5.0381 (4.9925)	Prec@1 5.469 (4.809)	Prec@5 16.016 (16.387)
Epoch: [13][5430/7045]	Time 0.418 (0.251)	Data 0.367 (0.188)	Loss 5.1245 (4.9926)	Prec@1 4.297 (4.810)	Prec@5 13.281 (16.388)
Epoch: [13][5440/7045]	Time 0.289 (0.251)	Data 0.239 (0.188)	Loss 5.0096 (4.9926)	Prec@1 3.906 (4.810)	Prec@5 15.625 (16.389)
Epoch: [13][5450/7045]	Time 0.268 (0.251)	Data 0.218 (0.188)	Loss 5.1049 (4.9924)	Prec@1 3.516 (4.811)	Prec@5 14.453 (16.391)
Epoch: [13][5460/7045]	Time 0.345 (0.251)	Data 0.294 (0.188)	Loss 5.0131 (4.9925)	Prec@1 6.641 (4.811)	Prec@5 18.750 (16.390)
Epoch: [13][5470/7045]	Time 0.101 (0.251)	Data 0.007 (0.188)	Loss 4.9372 (4.9925)	Prec@1 3.125 (4.811)	Prec@5 11.719 (16.392)
Epoch: [13][5480/7045]	Time 0.420 (0.251)	Data 0.370 (0.188)	Loss 5.0336 (4.9925)	Prec@1 3.516 (4.811)	Prec@5 16.016 (16.392)
Epoch: [13][5490/7045]	Time 0.268 (0.251)	Data 0.212 (0.188)	Loss 5.0987 (4.9926)	Prec@1 3.125 (4.811)	Prec@5 12.891 (16.390)
Epoch: [13][5500/7045]	Time 0.377 (0.251)	Data 0.326 (0.188)	Loss 5.0692 (4.9925)	Prec@1 3.516 (4.811)	Prec@5 15.625 (16.390)
Epoch: [13][5510/7045]	Time 0.285 (0.251)	Data 0.233 (0.188)	Loss 5.0272 (4.9925)	Prec@1 4.688 (4.812)	Prec@5 15.625 (16.389)
Epoch: [13][5520/7045]	Time 0.104 (0.251)	Data 0.051 (0.188)	Loss 5.1066 (4.9926)	Prec@1 2.734 (4.811)	Prec@5 11.719 (16.388)
Epoch: [13][5530/7045]	Time 0.154 (0.251)	Data 0.103 (0.188)	Loss 5.0446 (4.9926)	Prec@1 3.516 (4.811)	Prec@5 17.969 (16.390)
Epoch: [13][5540/7045]	Time 0.174 (0.251)	Data 0.122 (0.188)	Loss 5.0828 (4.9926)	Prec@1 4.688 (4.811)	Prec@5 16.406 (16.388)
Epoch: [13][5550/7045]	Time 0.111 (0.251)	Data 0.059 (0.188)	Loss 4.8671 (4.9925)	Prec@1 3.125 (4.811)	Prec@5 18.750 (16.389)
Epoch: [13][5560/7045]	Time 0.625 (0.251)	Data 0.574 (0.188)	Loss 5.0140 (4.9926)	Prec@1 3.906 (4.811)	Prec@5 15.625 (16.390)
Epoch: [13][5570/7045]	Time 0.157 (0.251)	Data 0.106 (0.188)	Loss 4.9837 (4.9926)	Prec@1 4.297 (4.810)	Prec@5 16.797 (16.386)
Epoch: [13][5580/7045]	Time 0.688 (0.251)	Data 0.629 (0.188)	Loss 4.9122 (4.9926)	Prec@1 5.469 (4.810)	Prec@5 18.750 (16.387)
Epoch: [13][5590/7045]	Time 0.096 (0.251)	Data 0.001 (0.188)	Loss 4.8815 (4.9926)	Prec@1 4.297 (4.809)	Prec@5 15.234 (16.383)
Epoch: [13][5600/7045]	Time 0.601 (0.251)	Data 0.543 (0.188)	Loss 4.9427 (4.9926)	Prec@1 6.641 (4.809)	Prec@5 18.750 (16.384)
Epoch: [13][5610/7045]	Time 0.161 (0.251)	Data 0.110 (0.188)	Loss 4.9697 (4.9927)	Prec@1 6.250 (4.809)	Prec@5 16.797 (16.384)
Epoch: [13][5620/7045]	Time 0.315 (0.251)	Data 0.264 (0.188)	Loss 4.9562 (4.9927)	Prec@1 7.031 (4.809)	Prec@5 17.188 (16.382)
Epoch: [13][5630/7045]	Time 0.303 (0.251)	Data 0.252 (0.188)	Loss 5.0134 (4.9926)	Prec@1 5.078 (4.809)	Prec@5 15.234 (16.382)
Epoch: [13][5640/7045]	Time 0.188 (0.251)	Data 0.125 (0.188)	Loss 5.1230 (4.9927)	Prec@1 4.688 (4.809)	Prec@5 15.625 (16.381)
Epoch: [13][5650/7045]	Time 0.615 (0.251)	Data 0.555 (0.188)	Loss 5.1722 (4.9926)	Prec@1 3.516 (4.809)	Prec@5 10.156 (16.380)
Epoch: [13][5660/7045]	Time 0.101 (0.251)	Data 0.001 (0.188)	Loss 4.9087 (4.9926)	Prec@1 6.250 (4.810)	Prec@5 15.625 (16.381)
Epoch: [13][5670/7045]	Time 0.573 (0.251)	Data 0.521 (0.188)	Loss 4.9924 (4.9926)	Prec@1 3.516 (4.809)	Prec@5 16.797 (16.380)
Epoch: [13][5680/7045]	Time 0.100 (0.251)	Data 0.001 (0.188)	Loss 5.0459 (4.9927)	Prec@1 4.688 (4.808)	Prec@5 15.234 (16.379)
Epoch: [13][5690/7045]	Time 0.225 (0.251)	Data 0.174 (0.188)	Loss 5.0786 (4.9927)	Prec@1 5.469 (4.810)	Prec@5 16.406 (16.378)
Epoch: [13][5700/7045]	Time 0.101 (0.251)	Data 0.005 (0.188)	Loss 4.9272 (4.9927)	Prec@1 4.688 (4.810)	Prec@5 17.578 (16.379)
Epoch: [13][5710/7045]	Time 0.320 (0.251)	Data 0.269 (0.188)	Loss 4.9771 (4.9928)	Prec@1 4.297 (4.809)	Prec@5 17.188 (16.378)
Epoch: [13][5720/7045]	Time 0.181 (0.251)	Data 0.130 (0.188)	Loss 4.9490 (4.9928)	Prec@1 6.250 (4.810)	Prec@5 17.188 (16.379)
Epoch: [13][5730/7045]	Time 0.270 (0.251)	Data 0.213 (0.188)	Loss 4.9717 (4.9928)	Prec@1 5.078 (4.810)	Prec@5 15.625 (16.377)
Epoch: [13][5740/7045]	Time 0.658 (0.251)	Data 0.602 (0.188)	Loss 4.8470 (4.9927)	Prec@1 5.078 (4.810)	Prec@5 20.312 (16.379)
Epoch: [13][5750/7045]	Time 0.101 (0.251)	Data 0.001 (0.188)	Loss 5.0512 (4.9927)	Prec@1 3.516 (4.809)	Prec@5 15.234 (16.379)
Epoch: [13][5760/7045]	Time 0.628 (0.251)	Data 0.577 (0.188)	Loss 4.8371 (4.9927)	Prec@1 7.031 (4.809)	Prec@5 19.531 (16.378)
Epoch: [13][5770/7045]	Time 0.102 (0.251)	Data 0.002 (0.188)	Loss 5.0269 (4.9927)	Prec@1 3.906 (4.809)	Prec@5 16.797 (16.379)
Epoch: [13][5780/7045]	Time 0.366 (0.251)	Data 0.314 (0.188)	Loss 4.9161 (4.9926)	Prec@1 2.344 (4.810)	Prec@5 12.109 (16.379)
Epoch: [13][5790/7045]	Time 0.101 (0.250)	Data 0.042 (0.188)	Loss 5.0871 (4.9926)	Prec@1 3.125 (4.810)	Prec@5 12.500 (16.379)
Epoch: [13][5800/7045]	Time 0.437 (0.251)	Data 0.385 (0.188)	Loss 4.8971 (4.9925)	Prec@1 5.078 (4.811)	Prec@5 17.969 (16.380)
Epoch: [13][5810/7045]	Time 0.102 (0.250)	Data 0.049 (0.188)	Loss 4.9161 (4.9925)	Prec@1 6.641 (4.812)	Prec@5 15.234 (16.380)
Epoch: [13][5820/7045]	Time 0.246 (0.250)	Data 0.195 (0.188)	Loss 4.9534 (4.9924)	Prec@1 7.031 (4.813)	Prec@5 18.359 (16.383)
Epoch: [13][5830/7045]	Time 0.101 (0.250)	Data 0.045 (0.188)	Loss 5.0057 (4.9924)	Prec@1 4.688 (4.812)	Prec@5 16.797 (16.382)
Epoch: [13][5840/7045]	Time 0.300 (0.251)	Data 0.249 (0.188)	Loss 4.8490 (4.9924)	Prec@1 5.469 (4.813)	Prec@5 21.094 (16.383)
Epoch: [13][5850/7045]	Time 0.167 (0.250)	Data 0.117 (0.188)	Loss 4.9651 (4.9925)	Prec@1 3.906 (4.812)	Prec@5 18.750 (16.383)
Epoch: [13][5860/7045]	Time 0.100 (0.250)	Data 0.003 (0.188)	Loss 5.0587 (4.9925)	Prec@1 3.906 (4.813)	Prec@5 15.625 (16.383)
Epoch: [13][5870/7045]	Time 0.613 (0.251)	Data 0.561 (0.188)	Loss 5.0536 (4.9925)	Prec@1 4.297 (4.813)	Prec@5 15.234 (16.383)
Epoch: [13][5880/7045]	Time 0.107 (0.250)	Data 0.001 (0.188)	Loss 5.0377 (4.9926)	Prec@1 7.812 (4.814)	Prec@5 19.531 (16.381)
Epoch: [13][5890/7045]	Time 0.641 (0.251)	Data 0.586 (0.188)	Loss 5.0933 (4.9927)	Prec@1 5.078 (4.814)	Prec@5 13.281 (16.382)
Epoch: [13][5900/7045]	Time 0.104 (0.250)	Data 0.052 (0.188)	Loss 4.8821 (4.9926)	Prec@1 6.641 (4.815)	Prec@5 17.969 (16.383)
Epoch: [13][5910/7045]	Time 0.324 (0.250)	Data 0.273 (0.188)	Loss 4.9859 (4.9926)	Prec@1 5.469 (4.815)	Prec@5 17.969 (16.383)
Epoch: [13][5920/7045]	Time 0.099 (0.250)	Data 0.001 (0.188)	Loss 5.0136 (4.9926)	Prec@1 4.688 (4.815)	Prec@5 13.281 (16.384)
Epoch: [13][5930/7045]	Time 0.502 (0.250)	Data 0.451 (0.188)	Loss 4.9782 (4.9925)	Prec@1 3.125 (4.816)	Prec@5 15.234 (16.385)
Epoch: [13][5940/7045]	Time 0.356 (0.250)	Data 0.305 (0.188)	Loss 5.0556 (4.9925)	Prec@1 2.344 (4.816)	Prec@5 14.844 (16.386)
Epoch: [13][5950/7045]	Time 0.342 (0.250)	Data 0.291 (0.188)	Loss 5.0517 (4.9926)	Prec@1 2.734 (4.817)	Prec@5 14.453 (16.386)
Epoch: [13][5960/7045]	Time 0.230 (0.250)	Data 0.179 (0.188)	Loss 4.8608 (4.9926)	Prec@1 5.078 (4.817)	Prec@5 17.969 (16.385)
Epoch: [13][5970/7045]	Time 0.103 (0.250)	Data 0.009 (0.188)	Loss 5.0940 (4.9926)	Prec@1 4.297 (4.816)	Prec@5 12.109 (16.385)
Epoch: [13][5980/7045]	Time 0.109 (0.250)	Data 0.057 (0.188)	Loss 5.0400 (4.9926)	Prec@1 5.078 (4.815)	Prec@5 18.359 (16.386)
Epoch: [13][5990/7045]	Time 0.406 (0.250)	Data 0.350 (0.188)	Loss 4.9630 (4.9926)	Prec@1 3.125 (4.816)	Prec@5 15.234 (16.386)
Epoch: [13][6000/7045]	Time 0.102 (0.250)	Data 0.001 (0.188)	Loss 5.0691 (4.9926)	Prec@1 7.422 (4.816)	Prec@5 16.406 (16.385)
Epoch: [13][6010/7045]	Time 0.101 (0.250)	Data 0.001 (0.188)	Loss 5.0165 (4.9927)	Prec@1 5.859 (4.815)	Prec@5 16.797 (16.384)
Epoch: [13][6020/7045]	Time 0.256 (0.250)	Data 0.204 (0.188)	Loss 5.1232 (4.9928)	Prec@1 1.953 (4.814)	Prec@5 16.406 (16.382)
Epoch: [13][6030/7045]	Time 0.096 (0.250)	Data 0.001 (0.188)	Loss 5.0701 (4.9929)	Prec@1 2.344 (4.812)	Prec@5 13.672 (16.381)
Epoch: [13][6040/7045]	Time 0.556 (0.250)	Data 0.499 (0.188)	Loss 5.2546 (4.9928)	Prec@1 4.297 (4.811)	Prec@5 12.891 (16.382)
Epoch: [13][6050/7045]	Time 0.102 (0.250)	Data 0.046 (0.188)	Loss 5.1876 (4.9930)	Prec@1 2.344 (4.810)	Prec@5 13.672 (16.378)
Epoch: [13][6060/7045]	Time 0.153 (0.250)	Data 0.101 (0.188)	Loss 5.1774 (4.9932)	Prec@1 3.125 (4.808)	Prec@5 11.719 (16.375)
Epoch: [13][6070/7045]	Time 0.255 (0.250)	Data 0.204 (0.188)	Loss 5.1096 (4.9934)	Prec@1 5.469 (4.808)	Prec@5 13.281 (16.371)
Epoch: [13][6080/7045]	Time 0.127 (0.250)	Data 0.076 (0.188)	Loss 5.1133 (4.9935)	Prec@1 5.078 (4.807)	Prec@5 11.328 (16.369)
Epoch: [13][6090/7045]	Time 0.432 (0.250)	Data 0.382 (0.188)	Loss 5.0841 (4.9936)	Prec@1 4.688 (4.808)	Prec@5 14.844 (16.368)
Epoch: [13][6100/7045]	Time 0.274 (0.250)	Data 0.212 (0.188)	Loss 5.0290 (4.9936)	Prec@1 4.688 (4.809)	Prec@5 13.281 (16.369)
Epoch: [13][6110/7045]	Time 0.381 (0.250)	Data 0.328 (0.188)	Loss 4.9913 (4.9934)	Prec@1 1.953 (4.810)	Prec@5 16.016 (16.372)
Epoch: [13][6120/7045]	Time 0.137 (0.250)	Data 0.086 (0.188)	Loss 5.0375 (4.9934)	Prec@1 3.516 (4.810)	Prec@5 16.406 (16.372)
Epoch: [13][6130/7045]	Time 0.488 (0.250)	Data 0.438 (0.188)	Loss 5.0079 (4.9934)	Prec@1 3.125 (4.810)	Prec@5 13.672 (16.372)
Epoch: [13][6140/7045]	Time 0.098 (0.250)	Data 0.044 (0.188)	Loss 4.9236 (4.9933)	Prec@1 7.422 (4.812)	Prec@5 18.359 (16.373)
Epoch: [13][6150/7045]	Time 0.423 (0.250)	Data 0.370 (0.188)	Loss 5.0277 (4.9933)	Prec@1 4.297 (4.812)	Prec@5 17.578 (16.373)
Epoch: [13][6160/7045]	Time 0.105 (0.250)	Data 0.053 (0.188)	Loss 5.0958 (4.9933)	Prec@1 3.516 (4.812)	Prec@5 14.844 (16.374)
Epoch: [13][6170/7045]	Time 0.198 (0.250)	Data 0.147 (0.188)	Loss 4.8941 (4.9933)	Prec@1 4.297 (4.812)	Prec@5 17.188 (16.374)
Epoch: [13][6180/7045]	Time 0.100 (0.250)	Data 0.044 (0.188)	Loss 4.8414 (4.9933)	Prec@1 6.641 (4.812)	Prec@5 16.797 (16.373)
Epoch: [13][6190/7045]	Time 0.107 (0.250)	Data 0.001 (0.188)	Loss 5.0762 (4.9934)	Prec@1 2.344 (4.811)	Prec@5 16.406 (16.371)
Epoch: [13][6200/7045]	Time 0.236 (0.250)	Data 0.183 (0.188)	Loss 4.9413 (4.9934)	Prec@1 4.688 (4.812)	Prec@5 17.969 (16.372)
Epoch: [13][6210/7045]	Time 0.250 (0.250)	Data 0.196 (0.188)	Loss 5.0449 (4.9934)	Prec@1 2.734 (4.811)	Prec@5 15.234 (16.372)
Epoch: [13][6220/7045]	Time 0.101 (0.250)	Data 0.003 (0.188)	Loss 4.8489 (4.9934)	Prec@1 6.641 (4.811)	Prec@5 19.922 (16.373)
Epoch: [13][6230/7045]	Time 0.264 (0.250)	Data 0.213 (0.188)	Loss 4.9848 (4.9935)	Prec@1 4.297 (4.809)	Prec@5 14.844 (16.371)
Epoch: [13][6240/7045]	Time 0.283 (0.250)	Data 0.230 (0.188)	Loss 5.0450 (4.9935)	Prec@1 4.297 (4.809)	Prec@5 16.016 (16.372)
Epoch: [13][6250/7045]	Time 0.100 (0.250)	Data 0.005 (0.188)	Loss 5.0897 (4.9937)	Prec@1 3.906 (4.807)	Prec@5 13.281 (16.369)
Epoch: [13][6260/7045]	Time 0.727 (0.250)	Data 0.675 (0.188)	Loss 5.0303 (4.9937)	Prec@1 3.516 (4.809)	Prec@5 15.625 (16.371)
Epoch: [13][6270/7045]	Time 0.267 (0.250)	Data 0.216 (0.188)	Loss 4.9395 (4.9936)	Prec@1 3.125 (4.808)	Prec@5 16.016 (16.370)
Epoch: [13][6280/7045]	Time 0.532 (0.250)	Data 0.479 (0.188)	Loss 5.1745 (4.9938)	Prec@1 4.297 (4.807)	Prec@5 14.453 (16.367)
Epoch: [13][6290/7045]	Time 0.236 (0.250)	Data 0.185 (0.188)	Loss 5.0834 (4.9938)	Prec@1 3.125 (4.808)	Prec@5 14.844 (16.368)
Epoch: [13][6300/7045]	Time 0.229 (0.250)	Data 0.178 (0.188)	Loss 5.0164 (4.9940)	Prec@1 5.078 (4.808)	Prec@5 17.188 (16.366)
Epoch: [13][6310/7045]	Time 0.102 (0.250)	Data 0.050 (0.188)	Loss 5.0815 (4.9940)	Prec@1 1.953 (4.808)	Prec@5 10.156 (16.365)
Epoch: [13][6320/7045]	Time 0.101 (0.250)	Data 0.001 (0.188)	Loss 4.9988 (4.9940)	Prec@1 4.688 (4.808)	Prec@5 17.578 (16.364)
Epoch: [13][6330/7045]	Time 0.100 (0.250)	Data 0.005 (0.188)	Loss 4.9702 (4.9939)	Prec@1 2.734 (4.809)	Prec@5 13.672 (16.365)
Epoch: [13][6340/7045]	Time 0.290 (0.250)	Data 0.238 (0.188)	Loss 5.1247 (4.9940)	Prec@1 4.688 (4.810)	Prec@5 11.328 (16.364)
Epoch: [13][6350/7045]	Time 0.102 (0.250)	Data 0.001 (0.188)	Loss 4.8500 (4.9939)	Prec@1 5.469 (4.810)	Prec@5 16.016 (16.365)
Epoch: [13][6360/7045]	Time 0.159 (0.250)	Data 0.104 (0.188)	Loss 5.0395 (4.9940)	Prec@1 4.297 (4.808)	Prec@5 14.844 (16.362)
Epoch: [13][6370/7045]	Time 0.171 (0.250)	Data 0.120 (0.188)	Loss 5.0065 (4.9940)	Prec@1 5.859 (4.809)	Prec@5 15.234 (16.362)
Epoch: [13][6380/7045]	Time 0.331 (0.250)	Data 0.274 (0.188)	Loss 4.9270 (4.9941)	Prec@1 5.469 (4.808)	Prec@5 17.969 (16.361)
Epoch: [13][6390/7045]	Time 0.417 (0.250)	Data 0.367 (0.188)	Loss 5.1015 (4.9943)	Prec@1 3.906 (4.808)	Prec@5 15.625 (16.359)
Epoch: [13][6400/7045]	Time 0.151 (0.250)	Data 0.098 (0.188)	Loss 4.9701 (4.9942)	Prec@1 3.516 (4.808)	Prec@5 13.672 (16.360)
Epoch: [13][6410/7045]	Time 0.480 (0.250)	Data 0.429 (0.188)	Loss 5.0904 (4.9942)	Prec@1 4.297 (4.808)	Prec@5 14.453 (16.361)
Epoch: [13][6420/7045]	Time 0.107 (0.250)	Data 0.006 (0.188)	Loss 4.9309 (4.9943)	Prec@1 5.859 (4.808)	Prec@5 14.844 (16.361)
Epoch: [13][6430/7045]	Time 0.337 (0.250)	Data 0.286 (0.188)	Loss 4.8618 (4.9942)	Prec@1 5.469 (4.808)	Prec@5 17.969 (16.362)
Epoch: [13][6440/7045]	Time 0.219 (0.250)	Data 0.167 (0.188)	Loss 5.1010 (4.9942)	Prec@1 4.297 (4.808)	Prec@5 17.969 (16.363)
Epoch: [13][6450/7045]	Time 0.112 (0.250)	Data 0.060 (0.188)	Loss 4.9338 (4.9941)	Prec@1 3.906 (4.808)	Prec@5 17.188 (16.363)
Epoch: [13][6460/7045]	Time 0.313 (0.250)	Data 0.255 (0.188)	Loss 4.9302 (4.9941)	Prec@1 5.078 (4.807)	Prec@5 17.578 (16.362)
Epoch: [13][6470/7045]	Time 0.102 (0.250)	Data 0.001 (0.188)	Loss 5.0318 (4.9941)	Prec@1 5.078 (4.807)	Prec@5 18.750 (16.363)
Epoch: [13][6480/7045]	Time 0.314 (0.250)	Data 0.264 (0.188)	Loss 5.0142 (4.9941)	Prec@1 7.031 (4.806)	Prec@5 16.406 (16.363)
Epoch: [13][6490/7045]	Time 0.185 (0.250)	Data 0.134 (0.188)	Loss 5.0927 (4.9941)	Prec@1 4.297 (4.806)	Prec@5 10.938 (16.362)
Epoch: [13][6500/7045]	Time 0.264 (0.250)	Data 0.213 (0.188)	Loss 5.0226 (4.9941)	Prec@1 5.078 (4.807)	Prec@5 15.234 (16.363)
Epoch: [13][6510/7045]	Time 0.363 (0.250)	Data 0.306 (0.188)	Loss 5.0104 (4.9942)	Prec@1 3.516 (4.807)	Prec@5 18.750 (16.362)
Epoch: [13][6520/7045]	Time 0.607 (0.250)	Data 0.555 (0.188)	Loss 4.9578 (4.9942)	Prec@1 5.078 (4.807)	Prec@5 16.016 (16.362)
Epoch: [13][6530/7045]	Time 0.102 (0.250)	Data 0.008 (0.188)	Loss 5.0831 (4.9943)	Prec@1 3.516 (4.806)	Prec@5 12.500 (16.360)
Epoch: [13][6540/7045]	Time 0.440 (0.250)	Data 0.388 (0.188)	Loss 5.0431 (4.9943)	Prec@1 4.688 (4.805)	Prec@5 14.844 (16.359)
Epoch: [13][6550/7045]	Time 0.109 (0.250)	Data 0.057 (0.188)	Loss 5.0712 (4.9943)	Prec@1 3.125 (4.805)	Prec@5 15.625 (16.358)
Epoch: [13][6560/7045]	Time 0.142 (0.250)	Data 0.090 (0.188)	Loss 5.1726 (4.9944)	Prec@1 3.125 (4.806)	Prec@5 13.281 (16.357)
Epoch: [13][6570/7045]	Time 0.156 (0.250)	Data 0.104 (0.188)	Loss 5.0444 (4.9944)	Prec@1 6.641 (4.807)	Prec@5 18.359 (16.358)
Epoch: [13][6580/7045]	Time 0.101 (0.250)	Data 0.001 (0.188)	Loss 4.9302 (4.9944)	Prec@1 8.203 (4.808)	Prec@5 20.312 (16.359)
Epoch: [13][6590/7045]	Time 0.437 (0.250)	Data 0.386 (0.188)	Loss 4.9018 (4.9944)	Prec@1 5.859 (4.809)	Prec@5 19.531 (16.360)
Epoch: [13][6600/7045]	Time 0.123 (0.250)	Data 0.072 (0.188)	Loss 4.9471 (4.9944)	Prec@1 3.516 (4.809)	Prec@5 17.578 (16.360)
Epoch: [13][6610/7045]	Time 0.543 (0.250)	Data 0.492 (0.188)	Loss 5.0818 (4.9945)	Prec@1 3.516 (4.808)	Prec@5 14.844 (16.359)
Epoch: [13][6620/7045]	Time 0.238 (0.250)	Data 0.186 (0.188)	Loss 5.0858 (4.9945)	Prec@1 1.953 (4.807)	Prec@5 12.891 (16.359)
Epoch: [13][6630/7045]	Time 0.702 (0.250)	Data 0.643 (0.188)	Loss 4.9536 (4.9945)	Prec@1 4.297 (4.806)	Prec@5 14.844 (16.360)
Epoch: [13][6640/7045]	Time 0.101 (0.250)	Data 0.002 (0.188)	Loss 5.0938 (4.9945)	Prec@1 7.031 (4.808)	Prec@5 17.969 (16.361)
Epoch: [13][6650/7045]	Time 0.182 (0.250)	Data 0.125 (0.188)	Loss 5.0984 (4.9945)	Prec@1 4.688 (4.807)	Prec@5 12.891 (16.360)
Epoch: [13][6660/7045]	Time 0.102 (0.250)	Data 0.001 (0.188)	Loss 5.1146 (4.9945)	Prec@1 3.516 (4.807)	Prec@5 14.453 (16.362)
Epoch: [13][6670/7045]	Time 0.107 (0.250)	Data 0.008 (0.188)	Loss 4.8129 (4.9945)	Prec@1 5.859 (4.806)	Prec@5 20.703 (16.363)
Epoch: [13][6680/7045]	Time 0.101 (0.250)	Data 0.001 (0.188)	Loss 4.8956 (4.9946)	Prec@1 5.859 (4.806)	Prec@5 16.406 (16.362)
Epoch: [13][6690/7045]	Time 0.121 (0.250)	Data 0.068 (0.188)	Loss 5.0855 (4.9947)	Prec@1 2.344 (4.806)	Prec@5 12.500 (16.359)
Epoch: [13][6700/7045]	Time 0.098 (0.250)	Data 0.046 (0.187)	Loss 5.0106 (4.9948)	Prec@1 1.562 (4.804)	Prec@5 12.891 (16.358)
Epoch: [13][6710/7045]	Time 0.143 (0.250)	Data 0.091 (0.187)	Loss 5.0729 (4.9948)	Prec@1 3.125 (4.804)	Prec@5 15.234 (16.357)
Epoch: [13][6720/7045]	Time 0.283 (0.250)	Data 0.232 (0.187)	Loss 5.0035 (4.9947)	Prec@1 4.297 (4.805)	Prec@5 17.969 (16.358)
Epoch: [13][6730/7045]	Time 0.140 (0.250)	Data 0.090 (0.187)	Loss 5.0139 (4.9948)	Prec@1 3.516 (4.804)	Prec@5 11.719 (16.355)
Epoch: [13][6740/7045]	Time 0.414 (0.250)	Data 0.364 (0.187)	Loss 4.9208 (4.9948)	Prec@1 5.469 (4.804)	Prec@5 16.797 (16.355)
Epoch: [13][6750/7045]	Time 0.184 (0.250)	Data 0.132 (0.187)	Loss 4.9780 (4.9948)	Prec@1 5.078 (4.804)	Prec@5 16.406 (16.356)
Epoch: [13][6760/7045]	Time 0.491 (0.250)	Data 0.439 (0.187)	Loss 5.0244 (4.9949)	Prec@1 5.078 (4.805)	Prec@5 16.797 (16.356)
Epoch: [13][6770/7045]	Time 0.192 (0.250)	Data 0.139 (0.187)	Loss 5.0419 (4.9949)	Prec@1 3.125 (4.805)	Prec@5 12.500 (16.356)
Epoch: [13][6780/7045]	Time 0.610 (0.250)	Data 0.559 (0.187)	Loss 5.0529 (4.9948)	Prec@1 4.297 (4.806)	Prec@5 13.672 (16.356)
Epoch: [13][6790/7045]	Time 0.214 (0.250)	Data 0.162 (0.187)	Loss 4.9877 (4.9948)	Prec@1 6.641 (4.806)	Prec@5 17.578 (16.358)
Epoch: [13][6800/7045]	Time 0.204 (0.250)	Data 0.153 (0.187)	Loss 4.9936 (4.9947)	Prec@1 3.906 (4.806)	Prec@5 17.969 (16.359)
Epoch: [13][6810/7045]	Time 0.102 (0.250)	Data 0.006 (0.187)	Loss 4.8890 (4.9947)	Prec@1 2.344 (4.806)	Prec@5 17.969 (16.359)
Epoch: [13][6820/7045]	Time 0.444 (0.250)	Data 0.392 (0.187)	Loss 4.9022 (4.9946)	Prec@1 6.250 (4.807)	Prec@5 19.141 (16.362)
Epoch: [13][6830/7045]	Time 0.101 (0.250)	Data 0.001 (0.187)	Loss 5.0595 (4.9945)	Prec@1 4.688 (4.807)	Prec@5 14.844 (16.363)
Epoch: [13][6840/7045]	Time 0.523 (0.250)	Data 0.472 (0.187)	Loss 5.1160 (4.9946)	Prec@1 2.734 (4.807)	Prec@5 14.453 (16.362)
Epoch: [13][6850/7045]	Time 0.222 (0.250)	Data 0.171 (0.187)	Loss 4.9418 (4.9946)	Prec@1 5.859 (4.806)	Prec@5 16.406 (16.363)
Epoch: [13][6860/7045]	Time 0.101 (0.250)	Data 0.001 (0.187)	Loss 4.9656 (4.9946)	Prec@1 5.469 (4.807)	Prec@5 17.188 (16.363)
Epoch: [13][6870/7045]	Time 0.194 (0.250)	Data 0.143 (0.187)	Loss 5.0313 (4.9947)	Prec@1 3.516 (4.807)	Prec@5 14.844 (16.361)
Epoch: [13][6880/7045]	Time 0.128 (0.250)	Data 0.070 (0.187)	Loss 4.9300 (4.9947)	Prec@1 5.859 (4.807)	Prec@5 15.625 (16.360)
Epoch: [13][6890/7045]	Time 0.720 (0.250)	Data 0.668 (0.187)	Loss 5.0861 (4.9947)	Prec@1 3.125 (4.806)	Prec@5 13.281 (16.360)
Epoch: [13][6900/7045]	Time 0.150 (0.250)	Data 0.099 (0.187)	Loss 4.8934 (4.9947)	Prec@1 3.906 (4.807)	Prec@5 17.578 (16.360)
Epoch: [13][6910/7045]	Time 0.102 (0.250)	Data 0.049 (0.187)	Loss 4.8952 (4.9947)	Prec@1 4.688 (4.808)	Prec@5 15.625 (16.361)
Epoch: [13][6920/7045]	Time 0.734 (0.250)	Data 0.682 (0.187)	Loss 4.9291 (4.9946)	Prec@1 5.469 (4.808)	Prec@5 15.625 (16.363)
Epoch: [13][6930/7045]	Time 0.100 (0.250)	Data 0.003 (0.187)	Loss 5.0897 (4.9947)	Prec@1 2.734 (4.808)	Prec@5 16.016 (16.362)
Epoch: [13][6940/7045]	Time 0.347 (0.250)	Data 0.295 (0.187)	Loss 5.0037 (4.9947)	Prec@1 3.906 (4.807)	Prec@5 17.188 (16.359)
Epoch: [13][6950/7045]	Time 0.165 (0.250)	Data 0.114 (0.187)	Loss 5.1227 (4.9948)	Prec@1 3.516 (4.806)	Prec@5 14.062 (16.358)
Epoch: [13][6960/7045]	Time 0.601 (0.250)	Data 0.548 (0.187)	Loss 4.9469 (4.9948)	Prec@1 4.688 (4.806)	Prec@5 16.406 (16.357)
Epoch: [13][6970/7045]	Time 0.369 (0.250)	Data 0.312 (0.187)	Loss 4.8881 (4.9948)	Prec@1 5.469 (4.806)	Prec@5 20.312 (16.357)
Epoch: [13][6980/7045]	Time 0.171 (0.250)	Data 0.120 (0.187)	Loss 4.9704 (4.9948)	Prec@1 5.859 (4.806)	Prec@5 14.844 (16.357)
Epoch: [13][6990/7045]	Time 0.621 (0.250)	Data 0.570 (0.187)	Loss 4.9596 (4.9948)	Prec@1 3.906 (4.807)	Prec@5 15.234 (16.356)
Epoch: [13][7000/7045]	Time 0.108 (0.250)	Data 0.008 (0.187)	Loss 5.0042 (4.9948)	Prec@1 3.516 (4.807)	Prec@5 13.281 (16.354)
Epoch: [13][7010/7045]	Time 0.481 (0.250)	Data 0.429 (0.187)	Loss 5.1066 (4.9948)	Prec@1 3.125 (4.808)	Prec@5 15.234 (16.354)
Epoch: [13][7020/7045]	Time 0.105 (0.250)	Data 0.007 (0.187)	Loss 5.0530 (4.9948)	Prec@1 6.641 (4.807)	Prec@5 17.578 (16.355)
Epoch: [13][7030/7045]	Time 0.281 (0.250)	Data 0.230 (0.187)	Loss 4.9335 (4.9948)	Prec@1 3.906 (4.807)	Prec@5 15.625 (16.354)
Epoch: [13][7040/7045]	Time 0.145 (0.250)	Data 0.093 (0.187)	Loss 5.0606 (4.9948)	Prec@1 3.906 (4.807)	Prec@5 18.359 (16.356)
Test: [0/143]	Time 1.409 (1.409)	Loss 4.7840 (4.7840)	Prec@1 7.031 (7.031)	Prec@5 17.188 (17.188)
Test: [10/143]	Time 0.127 (0.258)	Loss 4.7106 (4.8141)	Prec@1 5.859 (5.682)	Prec@5 19.141 (19.425)
Test: [20/143]	Time 0.310 (0.234)	Loss 5.0782 (4.8056)	Prec@1 0.781 (6.269)	Prec@5 12.500 (21.354)
Test: [30/143]	Time 0.454 (0.221)	Loss 5.0016 (4.8123)	Prec@1 1.562 (6.086)	Prec@5 10.938 (20.691)
Test: [40/143]	Time 0.049 (0.208)	Loss 4.9071 (4.7999)	Prec@1 1.172 (6.402)	Prec@5 12.500 (20.589)
Test: [50/143]	Time 0.365 (0.207)	Loss 4.4498 (4.8049)	Prec@1 5.078 (5.813)	Prec@5 32.812 (20.044)
Test: [60/143]	Time 0.121 (0.198)	Loss 5.1644 (4.7818)	Prec@1 1.953 (6.301)	Prec@5 10.938 (21.100)
Test: [70/143]	Time 0.058 (0.198)	Loss 5.1749 (4.7770)	Prec@1 3.125 (6.734)	Prec@5 12.109 (21.479)
Test: [80/143]	Time 0.361 (0.200)	Loss 4.3253 (4.7702)	Prec@1 13.281 (6.742)	Prec@5 37.500 (21.779)
Test: [90/143]	Time 0.258 (0.197)	Loss 4.8874 (4.7720)	Prec@1 5.078 (6.684)	Prec@5 18.750 (21.622)
Test: [100/143]	Time 0.049 (0.196)	Loss 4.5458 (4.7696)	Prec@1 14.844 (6.590)	Prec@5 34.375 (21.535)
Test: [110/143]	Time 0.115 (0.196)	Loss 4.6018 (4.7646)	Prec@1 13.281 (6.862)	Prec@5 28.906 (21.720)
Test: [120/143]	Time 0.533 (0.198)	Loss 4.7395 (4.7553)	Prec@1 1.953 (7.031)	Prec@5 23.047 (22.069)
Test: [130/143]	Time 0.354 (0.195)	Loss 4.3817 (4.7508)	Prec@1 20.312 (7.049)	Prec@5 32.031 (22.134)
Test: [140/143]	Time 0.048 (0.194)	Loss 5.3537 (4.7621)	Prec@1 0.000 (6.937)	Prec@5 0.000 (21.886)
 * Prec@1 6.962 Prec@5 21.997
Epoch: [14][0/7045]	Time 2.493 (2.493)	Data 2.429 (2.429)	Loss 4.9554 (4.9554)	Prec@1 4.297 (4.297)	Prec@5 15.234 (15.234)
Epoch: [14][10/7045]	Time 0.102 (0.423)	Data 0.050 (0.341)	Loss 4.9455 (4.9129)	Prec@1 5.078 (5.007)	Prec@5 14.844 (17.010)
Epoch: [14][20/7045]	Time 0.511 (0.353)	Data 0.452 (0.276)	Loss 4.9604 (4.9745)	Prec@1 3.906 (4.911)	Prec@5 16.016 (16.425)
Epoch: [14][30/7045]	Time 0.101 (0.311)	Data 0.049 (0.239)	Loss 5.0221 (4.9828)	Prec@1 5.859 (4.713)	Prec@5 17.578 (16.545)
Epoch: [14][40/7045]	Time 0.184 (0.302)	Data 0.133 (0.232)	Loss 5.0226 (4.9852)	Prec@1 2.734 (4.707)	Prec@5 15.625 (16.197)
Epoch: [14][50/7045]	Time 0.351 (0.295)	Data 0.299 (0.228)	Loss 5.1321 (4.9861)	Prec@1 5.078 (4.779)	Prec@5 14.844 (16.261)
Epoch: [14][60/7045]	Time 0.102 (0.286)	Data 0.001 (0.218)	Loss 4.9707 (4.9882)	Prec@1 6.250 (4.822)	Prec@5 17.188 (16.323)
Epoch: [14][70/7045]	Time 0.521 (0.283)	Data 0.469 (0.216)	Loss 5.2535 (4.9900)	Prec@1 3.516 (4.847)	Prec@5 10.938 (16.313)
Epoch: [14][80/7045]	Time 0.112 (0.277)	Data 0.060 (0.211)	Loss 4.9640 (5.0021)	Prec@1 4.688 (4.769)	Prec@5 17.188 (16.194)
Epoch: [14][90/7045]	Time 0.101 (0.274)	Data 0.049 (0.209)	Loss 4.9399 (5.0133)	Prec@1 5.078 (4.649)	Prec@5 17.578 (16.011)
Epoch: [14][100/7045]	Time 0.153 (0.272)	Data 0.102 (0.208)	Loss 5.0110 (5.0124)	Prec@1 1.562 (4.657)	Prec@5 13.672 (15.977)
Epoch: [14][110/7045]	Time 0.101 (0.273)	Data 0.001 (0.209)	Loss 4.9650 (5.0138)	Prec@1 4.297 (4.663)	Prec@5 17.188 (15.907)
Epoch: [14][120/7045]	Time 0.235 (0.270)	Data 0.184 (0.206)	Loss 5.0926 (5.0129)	Prec@1 2.344 (4.649)	Prec@5 14.062 (15.928)
Epoch: [14][130/7045]	Time 0.219 (0.269)	Data 0.169 (0.205)	Loss 4.9894 (5.0145)	Prec@1 7.812 (4.640)	Prec@5 17.969 (15.932)
Epoch: [14][140/7045]	Time 0.101 (0.268)	Data 0.002 (0.205)	Loss 4.9059 (5.0122)	Prec@1 5.859 (4.646)	Prec@5 15.234 (15.988)
Epoch: [14][150/7045]	Time 0.240 (0.266)	Data 0.189 (0.203)	Loss 4.9602 (5.0045)	Prec@1 4.297 (4.752)	Prec@5 14.844 (16.163)
Epoch: [14][160/7045]	Time 0.405 (0.266)	Data 0.353 (0.203)	Loss 5.0006 (5.0005)	Prec@1 5.078 (4.789)	Prec@5 14.844 (16.256)
Epoch: [14][170/7045]	Time 0.191 (0.264)	Data 0.141 (0.202)	Loss 4.9370 (4.9998)	Prec@1 3.906 (4.811)	Prec@5 18.359 (16.274)
Epoch: [14][180/7045]	Time 0.331 (0.264)	Data 0.279 (0.201)	Loss 5.2542 (5.0049)	Prec@1 3.516 (4.785)	Prec@5 11.328 (16.149)
Epoch: [14][190/7045]	Time 0.342 (0.263)	Data 0.290 (0.201)	Loss 5.0250 (5.0080)	Prec@1 2.734 (4.753)	Prec@5 12.891 (16.083)
Epoch: [14][200/7045]	Time 0.109 (0.262)	Data 0.001 (0.200)	Loss 4.9231 (5.0070)	Prec@1 6.641 (4.787)	Prec@5 18.359 (16.171)
Epoch: [14][210/7045]	Time 0.176 (0.261)	Data 0.125 (0.199)	Loss 5.0360 (5.0067)	Prec@1 5.859 (4.810)	Prec@5 17.188 (16.169)
Epoch: [14][220/7045]	Time 0.595 (0.262)	Data 0.543 (0.200)	Loss 4.9235 (5.0055)	Prec@1 7.031 (4.801)	Prec@5 17.969 (16.161)
Epoch: [14][230/7045]	Time 0.099 (0.260)	Data 0.044 (0.198)	Loss 4.9395 (5.0073)	Prec@1 5.078 (4.799)	Prec@5 15.625 (16.119)
Epoch: [14][240/7045]	Time 0.333 (0.260)	Data 0.282 (0.198)	Loss 5.1622 (5.0090)	Prec@1 1.172 (4.785)	Prec@5 14.062 (16.095)
Epoch: [14][250/7045]	Time 0.296 (0.260)	Data 0.237 (0.198)	Loss 4.8527 (5.0078)	Prec@1 3.906 (4.770)	Prec@5 17.188 (16.090)
Epoch: [14][260/7045]	Time 0.102 (0.259)	Data 0.001 (0.197)	Loss 5.0333 (5.0081)	Prec@1 5.078 (4.749)	Prec@5 19.922 (16.071)
Epoch: [14][270/7045]	Time 0.264 (0.259)	Data 0.213 (0.197)	Loss 4.8433 (5.0075)	Prec@1 6.250 (4.752)	Prec@5 19.141 (16.050)
Epoch: [14][280/7045]	Time 0.267 (0.258)	Data 0.216 (0.197)	Loss 5.0017 (5.0082)	Prec@1 3.516 (4.758)	Prec@5 14.062 (16.028)
Epoch: [14][290/7045]	Time 0.121 (0.258)	Data 0.070 (0.196)	Loss 5.1086 (5.0093)	Prec@1 3.906 (4.733)	Prec@5 15.625 (16.018)
Epoch: [14][300/7045]	Time 0.325 (0.258)	Data 0.273 (0.197)	Loss 4.9691 (5.0093)	Prec@1 6.250 (4.742)	Prec@5 14.453 (15.999)
Epoch: [14][310/7045]	Time 0.103 (0.257)	Data 0.001 (0.195)	Loss 5.1413 (5.0084)	Prec@1 3.906 (4.742)	Prec@5 14.453 (16.017)
Epoch: [14][320/7045]	Time 0.386 (0.258)	Data 0.331 (0.196)	Loss 5.0406 (5.0098)	Prec@1 3.906 (4.726)	Prec@5 15.625 (15.991)
Epoch: [14][330/7045]	Time 0.231 (0.257)	Data 0.180 (0.196)	Loss 4.9357 (5.0102)	Prec@1 5.078 (4.722)	Prec@5 19.531 (15.974)
Epoch: [14][340/7045]	Time 0.574 (0.258)	Data 0.524 (0.197)	Loss 4.8550 (5.0089)	Prec@1 7.422 (4.744)	Prec@5 18.359 (16.003)
Epoch: [14][350/7045]	Time 0.196 (0.258)	Data 0.145 (0.196)	Loss 5.0685 (5.0068)	Prec@1 4.297 (4.761)	Prec@5 16.016 (16.039)
Epoch: [14][360/7045]	Time 0.429 (0.258)	Data 0.377 (0.196)	Loss 5.0299 (5.0051)	Prec@1 4.688 (4.763)	Prec@5 14.453 (16.050)
Epoch: [14][370/7045]	Time 0.145 (0.257)	Data 0.094 (0.196)	Loss 4.9572 (5.0039)	Prec@1 6.250 (4.765)	Prec@5 18.359 (16.066)
Epoch: [14][380/7045]	Time 0.456 (0.258)	Data 0.398 (0.197)	Loss 4.9507 (5.0033)	Prec@1 4.297 (4.763)	Prec@5 17.969 (16.093)
Epoch: [14][390/7045]	Time 0.101 (0.257)	Data 0.007 (0.196)	Loss 4.9902 (5.0029)	Prec@1 5.078 (4.767)	Prec@5 16.797 (16.082)
Epoch: [14][400/7045]	Time 0.270 (0.257)	Data 0.219 (0.196)	Loss 5.2202 (5.0043)	Prec@1 3.906 (4.776)	Prec@5 12.500 (16.068)
Epoch: [14][410/7045]	Time 0.101 (0.257)	Data 0.008 (0.196)	Loss 4.9983 (5.0043)	Prec@1 3.516 (4.772)	Prec@5 14.062 (16.081)
Epoch: [14][420/7045]	Time 0.151 (0.257)	Data 0.100 (0.195)	Loss 5.0403 (5.0051)	Prec@1 6.250 (4.787)	Prec@5 19.922 (16.094)
Epoch: [14][430/7045]	Time 0.600 (0.258)	Data 0.549 (0.197)	Loss 5.0911 (5.0052)	Prec@1 3.906 (4.787)	Prec@5 13.672 (16.090)
Epoch: [14][440/7045]	Time 0.105 (0.257)	Data 0.052 (0.195)	Loss 5.0369 (5.0049)	Prec@1 4.297 (4.794)	Prec@5 18.750 (16.119)
Epoch: [14][450/7045]	Time 0.595 (0.257)	Data 0.544 (0.196)	Loss 4.9670 (5.0041)	Prec@1 3.906 (4.799)	Prec@5 13.672 (16.122)
Epoch: [14][460/7045]	Time 0.103 (0.257)	Data 0.047 (0.195)	Loss 5.0449 (5.0034)	Prec@1 5.469 (4.804)	Prec@5 14.844 (16.135)
Epoch: [14][470/7045]	Time 0.302 (0.257)	Data 0.250 (0.195)	Loss 4.9176 (5.0023)	Prec@1 3.906 (4.804)	Prec@5 16.406 (16.141)
Epoch: [14][480/7045]	Time 0.138 (0.256)	Data 0.086 (0.195)	Loss 4.9547 (5.0011)	Prec@1 4.297 (4.817)	Prec@5 16.406 (16.176)
Epoch: [14][490/7045]	Time 0.215 (0.256)	Data 0.163 (0.195)	Loss 4.8685 (5.0007)	Prec@1 5.859 (4.820)	Prec@5 21.094 (16.197)
Epoch: [14][500/7045]	Time 0.650 (0.257)	Data 0.598 (0.195)	Loss 5.1080 (5.0005)	Prec@1 3.516 (4.816)	Prec@5 12.891 (16.214)
Epoch: [14][510/7045]	Time 0.108 (0.256)	Data 0.056 (0.194)	Loss 5.0790 (5.0005)	Prec@1 3.125 (4.808)	Prec@5 13.672 (16.210)
Epoch: [14][520/7045]	Time 0.617 (0.256)	Data 0.567 (0.195)	Loss 4.9574 (4.9995)	Prec@1 3.516 (4.813)	Prec@5 12.891 (16.220)
Epoch: [14][530/7045]	Time 0.125 (0.255)	Data 0.074 (0.194)	Loss 5.1025 (4.9987)	Prec@1 3.516 (4.818)	Prec@5 14.062 (16.234)
Epoch: [14][540/7045]	Time 0.501 (0.256)	Data 0.451 (0.194)	Loss 5.0996 (4.9992)	Prec@1 5.859 (4.816)	Prec@5 16.406 (16.238)
Epoch: [14][550/7045]	Time 0.102 (0.255)	Data 0.008 (0.193)	Loss 4.9099 (4.9988)	Prec@1 3.516 (4.814)	Prec@5 18.750 (16.240)
Epoch: [14][560/7045]	Time 0.553 (0.255)	Data 0.501 (0.193)	Loss 5.1195 (4.9994)	Prec@1 4.688 (4.810)	Prec@5 11.328 (16.236)
Epoch: [14][570/7045]	Time 0.102 (0.255)	Data 0.046 (0.192)	Loss 4.9896 (4.9992)	Prec@1 7.031 (4.812)	Prec@5 17.188 (16.255)
Epoch: [14][580/7045]	Time 0.587 (0.255)	Data 0.536 (0.193)	Loss 5.0861 (4.9994)	Prec@1 4.688 (4.815)	Prec@5 17.969 (16.278)
Epoch: [14][590/7045]	Time 0.127 (0.254)	Data 0.075 (0.192)	Loss 4.8920 (4.9986)	Prec@1 7.812 (4.826)	Prec@5 17.578 (16.288)
Epoch: [14][600/7045]	Time 0.532 (0.254)	Data 0.480 (0.193)	Loss 4.9551 (4.9985)	Prec@1 7.812 (4.837)	Prec@5 17.188 (16.285)
Epoch: [14][610/7045]	Time 0.123 (0.254)	Data 0.073 (0.192)	Loss 5.0080 (4.9992)	Prec@1 3.516 (4.838)	Prec@5 17.188 (16.284)
Epoch: [14][620/7045]	Time 0.186 (0.254)	Data 0.133 (0.192)	Loss 4.9922 (4.9984)	Prec@1 5.859 (4.840)	Prec@5 15.625 (16.280)
Epoch: [14][630/7045]	Time 0.180 (0.254)	Data 0.128 (0.192)	Loss 4.9267 (4.9976)	Prec@1 7.422 (4.848)	Prec@5 17.188 (16.291)
Epoch: [14][640/7045]	Time 0.264 (0.254)	Data 0.212 (0.193)	Loss 4.9929 (4.9980)	Prec@1 5.469 (4.850)	Prec@5 17.188 (16.283)
Epoch: [14][650/7045]	Time 0.103 (0.254)	Data 0.052 (0.192)	Loss 4.9441 (4.9979)	Prec@1 5.078 (4.848)	Prec@5 16.797 (16.293)
Epoch: [14][660/7045]	Time 0.110 (0.253)	Data 0.059 (0.192)	Loss 4.7448 (4.9967)	Prec@1 6.641 (4.857)	Prec@5 17.969 (16.316)
Epoch: [14][670/7045]	Time 0.292 (0.254)	Data 0.240 (0.193)	Loss 4.9041 (4.9958)	Prec@1 6.250 (4.864)	Prec@5 16.406 (16.324)
Epoch: [14][680/7045]	Time 0.102 (0.253)	Data 0.002 (0.192)	Loss 4.9251 (4.9958)	Prec@1 5.469 (4.857)	Prec@5 18.359 (16.318)
Epoch: [14][690/7045]	Time 0.471 (0.254)	Data 0.407 (0.192)	Loss 5.0846 (4.9969)	Prec@1 4.688 (4.854)	Prec@5 14.453 (16.297)
Epoch: [14][700/7045]	Time 0.102 (0.253)	Data 0.001 (0.192)	Loss 5.1551 (4.9978)	Prec@1 2.734 (4.844)	Prec@5 13.672 (16.280)
Epoch: [14][710/7045]	Time 0.447 (0.253)	Data 0.394 (0.192)	Loss 5.0436 (4.9985)	Prec@1 3.906 (4.839)	Prec@5 14.453 (16.278)
Epoch: [14][720/7045]	Time 0.101 (0.253)	Data 0.050 (0.191)	Loss 5.0948 (4.9991)	Prec@1 2.734 (4.833)	Prec@5 12.500 (16.265)
Epoch: [14][730/7045]	Time 0.436 (0.253)	Data 0.385 (0.191)	Loss 4.8863 (4.9991)	Prec@1 4.297 (4.831)	Prec@5 17.969 (16.271)
Epoch: [14][740/7045]	Time 0.646 (0.253)	Data 0.595 (0.192)	Loss 5.1075 (4.9997)	Prec@1 4.297 (4.841)	Prec@5 14.062 (16.268)
Epoch: [14][750/7045]	Time 0.101 (0.253)	Data 0.001 (0.191)	Loss 5.0276 (4.9999)	Prec@1 4.297 (4.841)	Prec@5 17.578 (16.263)
Epoch: [14][760/7045]	Time 0.197 (0.253)	Data 0.145 (0.191)	Loss 4.9674 (4.9994)	Prec@1 4.297 (4.839)	Prec@5 15.234 (16.273)
Epoch: [14][770/7045]	Time 0.128 (0.252)	Data 0.076 (0.191)	Loss 4.8639 (4.9990)	Prec@1 4.297 (4.838)	Prec@5 17.578 (16.272)
Epoch: [14][780/7045]	Time 0.432 (0.253)	Data 0.380 (0.191)	Loss 4.8939 (4.9986)	Prec@1 6.250 (4.845)	Prec@5 21.094 (16.275)
Epoch: [14][790/7045]	Time 0.247 (0.253)	Data 0.195 (0.191)	Loss 4.9108 (4.9973)	Prec@1 5.859 (4.849)	Prec@5 16.016 (16.297)
Epoch: [14][800/7045]	Time 0.308 (0.253)	Data 0.256 (0.191)	Loss 4.9051 (4.9964)	Prec@1 4.688 (4.855)	Prec@5 19.141 (16.321)
Epoch: [14][810/7045]	Time 0.407 (0.253)	Data 0.355 (0.191)	Loss 5.0608 (4.9963)	Prec@1 6.250 (4.858)	Prec@5 17.578 (16.328)
Epoch: [14][820/7045]	Time 0.108 (0.252)	Data 0.002 (0.190)	Loss 5.2210 (4.9966)	Prec@1 4.688 (4.854)	Prec@5 13.672 (16.316)
Epoch: [14][830/7045]	Time 0.158 (0.252)	Data 0.107 (0.190)	Loss 5.0462 (4.9965)	Prec@1 3.516 (4.852)	Prec@5 16.797 (16.326)
Epoch: [14][840/7045]	Time 0.103 (0.252)	Data 0.008 (0.190)	Loss 4.9174 (4.9967)	Prec@1 5.859 (4.848)	Prec@5 17.578 (16.318)
Epoch: [14][850/7045]	Time 0.408 (0.252)	Data 0.356 (0.190)	Loss 5.0048 (4.9971)	Prec@1 5.078 (4.845)	Prec@5 17.188 (16.306)
Epoch: [14][860/7045]	Time 0.315 (0.252)	Data 0.264 (0.190)	Loss 5.0450 (4.9972)	Prec@1 6.641 (4.844)	Prec@5 16.406 (16.306)
Epoch: [14][870/7045]	Time 0.101 (0.252)	Data 0.049 (0.190)	Loss 5.0166 (4.9969)	Prec@1 3.906 (4.850)	Prec@5 16.406 (16.324)
Epoch: [14][880/7045]	Time 0.102 (0.252)	Data 0.002 (0.190)	Loss 4.9893 (4.9971)	Prec@1 3.516 (4.843)	Prec@5 15.625 (16.318)
Epoch: [14][890/7045]	Time 0.189 (0.252)	Data 0.138 (0.190)	Loss 4.9145 (4.9970)	Prec@1 6.250 (4.844)	Prec@5 17.578 (16.318)
Epoch: [14][900/7045]	Time 0.112 (0.252)	Data 0.060 (0.190)	Loss 4.9385 (4.9973)	Prec@1 4.688 (4.841)	Prec@5 19.922 (16.314)
Epoch: [14][910/7045]	Time 0.450 (0.252)	Data 0.399 (0.190)	Loss 5.1132 (4.9978)	Prec@1 5.469 (4.829)	Prec@5 15.625 (16.313)
Epoch: [14][920/7045]	Time 0.246 (0.252)	Data 0.196 (0.190)	Loss 4.9496 (4.9980)	Prec@1 7.812 (4.827)	Prec@5 17.969 (16.315)
Epoch: [14][930/7045]	Time 0.497 (0.252)	Data 0.446 (0.190)	Loss 5.1241 (4.9977)	Prec@1 5.469 (4.831)	Prec@5 14.062 (16.321)
Epoch: [14][940/7045]	Time 0.326 (0.252)	Data 0.275 (0.190)	Loss 5.0670 (4.9975)	Prec@1 3.125 (4.821)	Prec@5 14.062 (16.315)
Epoch: [14][950/7045]	Time 0.326 (0.252)	Data 0.275 (0.190)	Loss 4.9538 (4.9970)	Prec@1 4.688 (4.819)	Prec@5 17.578 (16.310)
Epoch: [14][960/7045]	Time 0.392 (0.252)	Data 0.340 (0.190)	Loss 5.0580 (4.9970)	Prec@1 5.078 (4.815)	Prec@5 14.844 (16.303)
Epoch: [14][970/7045]	Time 0.101 (0.252)	Data 0.001 (0.190)	Loss 4.9690 (4.9967)	Prec@1 3.516 (4.811)	Prec@5 16.406 (16.305)
Epoch: [14][980/7045]	Time 0.268 (0.252)	Data 0.217 (0.190)	Loss 4.8266 (4.9966)	Prec@1 6.250 (4.808)	Prec@5 20.312 (16.301)
Epoch: [14][990/7045]	Time 0.175 (0.252)	Data 0.124 (0.190)	Loss 4.9450 (4.9966)	Prec@1 6.641 (4.809)	Prec@5 18.359 (16.303)
Epoch: [14][1000/7045]	Time 0.108 (0.252)	Data 0.001 (0.190)	Loss 5.0580 (4.9966)	Prec@1 1.953 (4.796)	Prec@5 10.938 (16.292)
Epoch: [14][1010/7045]	Time 0.151 (0.251)	Data 0.099 (0.189)	Loss 4.9618 (4.9964)	Prec@1 5.859 (4.807)	Prec@5 15.234 (16.301)
Epoch: [14][1020/7045]	Time 0.213 (0.251)	Data 0.162 (0.190)	Loss 5.2429 (4.9974)	Prec@1 3.125 (4.797)	Prec@5 12.891 (16.278)
Epoch: [14][1030/7045]	Time 0.139 (0.251)	Data 0.089 (0.190)	Loss 4.8824 (4.9975)	Prec@1 7.031 (4.798)	Prec@5 16.797 (16.275)
Epoch: [14][1040/7045]	Time 0.141 (0.251)	Data 0.089 (0.190)	Loss 5.0328 (4.9972)	Prec@1 3.516 (4.791)	Prec@5 16.797 (16.273)
Epoch: [14][1050/7045]	Time 0.167 (0.252)	Data 0.110 (0.190)	Loss 5.1009 (4.9981)	Prec@1 4.688 (4.783)	Prec@5 11.719 (16.254)
Epoch: [14][1060/7045]	Time 0.102 (0.251)	Data 0.001 (0.189)	Loss 4.8845 (4.9980)	Prec@1 4.297 (4.782)	Prec@5 21.875 (16.253)
Epoch: [14][1070/7045]	Time 0.102 (0.251)	Data 0.004 (0.189)	Loss 4.9894 (4.9980)	Prec@1 4.297 (4.779)	Prec@5 14.453 (16.245)
Epoch: [14][1080/7045]	Time 0.116 (0.251)	Data 0.065 (0.189)	Loss 5.0507 (4.9981)	Prec@1 3.906 (4.781)	Prec@5 15.234 (16.244)
Epoch: [14][1090/7045]	Time 0.101 (0.251)	Data 0.004 (0.189)	Loss 5.0624 (4.9982)	Prec@1 5.078 (4.778)	Prec@5 14.062 (16.249)
Epoch: [14][1100/7045]	Time 0.102 (0.251)	Data 0.002 (0.189)	Loss 5.1434 (4.9986)	Prec@1 3.516 (4.769)	Prec@5 10.938 (16.235)
Epoch: [14][1110/7045]	Time 0.101 (0.251)	Data 0.049 (0.189)	Loss 5.0994 (4.9991)	Prec@1 3.516 (4.769)	Prec@5 8.594 (16.228)
Epoch: [14][1120/7045]	Time 0.298 (0.251)	Data 0.246 (0.189)	Loss 5.1431 (4.9997)	Prec@1 4.688 (4.766)	Prec@5 16.016 (16.214)
Epoch: [14][1130/7045]	Time 0.149 (0.251)	Data 0.097 (0.189)	Loss 5.1129 (5.0000)	Prec@1 3.125 (4.761)	Prec@5 14.844 (16.208)
Epoch: [14][1140/7045]	Time 0.281 (0.251)	Data 0.229 (0.189)	Loss 4.9628 (5.0002)	Prec@1 6.250 (4.761)	Prec@5 17.578 (16.202)
Epoch: [14][1150/7045]	Time 0.526 (0.251)	Data 0.476 (0.189)	Loss 5.0279 (5.0005)	Prec@1 4.297 (4.755)	Prec@5 15.625 (16.189)
Epoch: [14][1160/7045]	Time 0.296 (0.251)	Data 0.244 (0.189)	Loss 5.1497 (5.0007)	Prec@1 3.516 (4.753)	Prec@5 12.891 (16.184)
Epoch: [14][1170/7045]	Time 0.453 (0.251)	Data 0.393 (0.188)	Loss 4.8877 (5.0006)	Prec@1 4.297 (4.746)	Prec@5 20.312 (16.181)
Epoch: [14][1180/7045]	Time 0.357 (0.251)	Data 0.306 (0.188)	Loss 4.8536 (5.0007)	Prec@1 6.250 (4.748)	Prec@5 21.484 (16.175)
Epoch: [14][1190/7045]	Time 0.384 (0.251)	Data 0.334 (0.189)	Loss 5.0428 (5.0003)	Prec@1 3.906 (4.750)	Prec@5 12.109 (16.171)
Epoch: [14][1200/7045]	Time 0.313 (0.251)	Data 0.262 (0.189)	Loss 5.2112 (5.0007)	Prec@1 2.734 (4.745)	Prec@5 11.719 (16.170)
Epoch: [14][1210/7045]	Time 0.104 (0.251)	Data 0.051 (0.189)	Loss 4.9284 (5.0016)	Prec@1 5.469 (4.739)	Prec@5 18.359 (16.149)
Epoch: [14][1220/7045]	Time 0.112 (0.251)	Data 0.060 (0.189)	Loss 5.1386 (5.0019)	Prec@1 2.734 (4.735)	Prec@5 12.891 (16.144)
Epoch: [14][1230/7045]	Time 0.102 (0.251)	Data 0.006 (0.188)	Loss 5.1013 (5.0023)	Prec@1 4.688 (4.733)	Prec@5 16.797 (16.139)
Epoch: [14][1240/7045]	Time 0.378 (0.251)	Data 0.321 (0.189)	Loss 5.0617 (5.0028)	Prec@1 4.297 (4.731)	Prec@5 12.891 (16.119)
Epoch: [14][1250/7045]	Time 0.102 (0.251)	Data 0.002 (0.188)	Loss 5.1425 (5.0029)	Prec@1 3.125 (4.727)	Prec@5 11.328 (16.111)
Epoch: [14][1260/7045]	Time 0.361 (0.251)	Data 0.304 (0.189)	Loss 4.9485 (5.0031)	Prec@1 3.906 (4.727)	Prec@5 19.531 (16.105)
Epoch: [14][1270/7045]	Time 0.102 (0.251)	Data 0.005 (0.188)	Loss 5.0807 (5.0035)	Prec@1 2.344 (4.727)	Prec@5 11.719 (16.100)
Epoch: [14][1280/7045]	Time 0.356 (0.251)	Data 0.304 (0.188)	Loss 5.0351 (5.0035)	Prec@1 5.859 (4.729)	Prec@5 16.797 (16.104)
Epoch: [14][1290/7045]	Time 0.293 (0.251)	Data 0.240 (0.188)	Loss 5.1631 (5.0035)	Prec@1 4.688 (4.730)	Prec@5 15.234 (16.107)
Epoch: [14][1300/7045]	Time 0.287 (0.251)	Data 0.235 (0.189)	Loss 4.8885 (5.0040)	Prec@1 6.250 (4.727)	Prec@5 19.922 (16.097)
Epoch: [14][1310/7045]	Time 0.741 (0.251)	Data 0.682 (0.189)	Loss 4.9527 (5.0043)	Prec@1 4.688 (4.721)	Prec@5 20.312 (16.089)
Epoch: [14][1320/7045]	Time 0.114 (0.251)	Data 0.062 (0.188)	Loss 5.0737 (5.0040)	Prec@1 4.688 (4.723)	Prec@5 12.109 (16.091)
Epoch: [14][1330/7045]	Time 0.373 (0.250)	Data 0.321 (0.188)	Loss 4.9248 (5.0039)	Prec@1 4.688 (4.718)	Prec@5 17.969 (16.093)
Epoch: [14][1340/7045]	Time 0.169 (0.250)	Data 0.118 (0.188)	Loss 4.9506 (5.0035)	Prec@1 4.688 (4.720)	Prec@5 16.016 (16.098)
Epoch: [14][1350/7045]	Time 0.099 (0.250)	Data 0.001 (0.188)	Loss 4.9475 (5.0030)	Prec@1 5.078 (4.726)	Prec@5 16.797 (16.110)
Epoch: [14][1360/7045]	Time 0.189 (0.250)	Data 0.137 (0.188)	Loss 5.0244 (5.0028)	Prec@1 6.250 (4.731)	Prec@5 18.359 (16.115)
Epoch: [14][1370/7045]	Time 0.213 (0.250)	Data 0.162 (0.188)	Loss 4.8508 (5.0021)	Prec@1 7.422 (4.739)	Prec@5 19.922 (16.124)
Epoch: [14][1380/7045]	Time 0.175 (0.250)	Data 0.122 (0.188)	Loss 4.9789 (5.0017)	Prec@1 3.906 (4.743)	Prec@5 16.406 (16.129)
Epoch: [14][1390/7045]	Time 0.458 (0.250)	Data 0.407 (0.189)	Loss 4.9869 (5.0012)	Prec@1 6.250 (4.741)	Prec@5 16.406 (16.133)
Epoch: [14][1400/7045]	Time 0.107 (0.250)	Data 0.001 (0.189)	Loss 5.0494 (5.0016)	Prec@1 4.297 (4.743)	Prec@5 16.016 (16.131)
Epoch: [14][1410/7045]	Time 0.371 (0.250)	Data 0.320 (0.189)	Loss 4.9692 (5.0015)	Prec@1 6.250 (4.741)	Prec@5 16.797 (16.132)
Epoch: [14][1420/7045]	Time 0.101 (0.250)	Data 0.047 (0.188)	Loss 4.9872 (5.0015)	Prec@1 4.297 (4.739)	Prec@5 19.141 (16.135)
Epoch: [14][1430/7045]	Time 0.110 (0.250)	Data 0.058 (0.189)	Loss 4.8188 (5.0010)	Prec@1 7.031 (4.743)	Prec@5 15.625 (16.140)
Epoch: [14][1440/7045]	Time 0.108 (0.250)	Data 0.056 (0.188)	Loss 4.8569 (5.0005)	Prec@1 6.250 (4.749)	Prec@5 19.141 (16.144)
Epoch: [14][1450/7045]	Time 0.107 (0.250)	Data 0.004 (0.189)	Loss 4.8966 (5.0001)	Prec@1 5.859 (4.749)	Prec@5 17.578 (16.143)
Epoch: [14][1460/7045]	Time 0.101 (0.250)	Data 0.001 (0.188)	Loss 4.9420 (4.9998)	Prec@1 7.031 (4.753)	Prec@5 15.625 (16.152)
Epoch: [14][1470/7045]	Time 0.107 (0.250)	Data 0.001 (0.188)	Loss 5.0621 (4.9995)	Prec@1 3.125 (4.753)	Prec@5 14.453 (16.151)
Epoch: [14][1480/7045]	Time 0.101 (0.250)	Data 0.002 (0.188)	Loss 4.9728 (4.9995)	Prec@1 5.859 (4.753)	Prec@5 17.969 (16.149)
Epoch: [14][1490/7045]	Time 0.253 (0.250)	Data 0.201 (0.188)	Loss 4.9600 (4.9996)	Prec@1 5.078 (4.751)	Prec@5 15.625 (16.142)
Epoch: [14][1500/7045]	Time 0.135 (0.250)	Data 0.083 (0.188)	Loss 4.9982 (4.9999)	Prec@1 4.297 (4.750)	Prec@5 14.453 (16.130)
Epoch: [14][1510/7045]	Time 0.300 (0.250)	Data 0.248 (0.188)	Loss 4.9947 (5.0000)	Prec@1 5.469 (4.748)	Prec@5 18.359 (16.124)
Epoch: [14][1520/7045]	Time 0.167 (0.250)	Data 0.115 (0.188)	Loss 4.7924 (4.9994)	Prec@1 7.812 (4.753)	Prec@5 19.922 (16.139)
Epoch: [14][1530/7045]	Time 0.100 (0.250)	Data 0.006 (0.188)	Loss 5.2809 (4.9997)	Prec@1 4.297 (4.753)	Prec@5 13.672 (16.130)
Epoch: [14][1540/7045]	Time 0.146 (0.250)	Data 0.095 (0.188)	Loss 5.0733 (4.9997)	Prec@1 4.688 (4.757)	Prec@5 15.625 (16.134)
Epoch: [14][1550/7045]	Time 0.466 (0.250)	Data 0.408 (0.188)	Loss 5.0059 (4.9998)	Prec@1 4.688 (4.759)	Prec@5 17.188 (16.130)
Epoch: [14][1560/7045]	Time 0.236 (0.250)	Data 0.185 (0.188)	Loss 4.8867 (4.9997)	Prec@1 4.297 (4.757)	Prec@5 17.969 (16.133)
Epoch: [14][1570/7045]	Time 0.233 (0.250)	Data 0.182 (0.188)	Loss 5.1711 (5.0000)	Prec@1 2.734 (4.753)	Prec@5 11.328 (16.129)
Epoch: [14][1580/7045]	Time 0.170 (0.250)	Data 0.118 (0.188)	Loss 4.9749 (4.9998)	Prec@1 4.297 (4.761)	Prec@5 17.578 (16.141)
Epoch: [14][1590/7045]	Time 0.101 (0.250)	Data 0.047 (0.188)	Loss 4.9585 (4.9995)	Prec@1 2.344 (4.765)	Prec@5 13.281 (16.148)
Epoch: [14][1600/7045]	Time 0.105 (0.250)	Data 0.052 (0.188)	Loss 5.0414 (4.9995)	Prec@1 5.078 (4.766)	Prec@5 17.188 (16.149)
Epoch: [14][1610/7045]	Time 0.110 (0.250)	Data 0.059 (0.188)	Loss 5.0987 (4.9998)	Prec@1 2.734 (4.762)	Prec@5 14.453 (16.145)
Epoch: [14][1620/7045]	Time 0.102 (0.250)	Data 0.004 (0.188)	Loss 5.0792 (4.9998)	Prec@1 4.297 (4.764)	Prec@5 12.891 (16.153)
Epoch: [14][1630/7045]	Time 0.416 (0.250)	Data 0.359 (0.189)	Loss 5.0261 (4.9995)	Prec@1 3.516 (4.766)	Prec@5 14.453 (16.165)
Epoch: [14][1640/7045]	Time 0.102 (0.250)	Data 0.001 (0.188)	Loss 5.0102 (4.9992)	Prec@1 4.688 (4.767)	Prec@5 13.672 (16.167)
Epoch: [14][1650/7045]	Time 0.277 (0.250)	Data 0.227 (0.189)	Loss 4.8674 (4.9985)	Prec@1 4.688 (4.768)	Prec@5 16.016 (16.175)
Epoch: [14][1660/7045]	Time 0.100 (0.250)	Data 0.001 (0.189)	Loss 5.0431 (4.9987)	Prec@1 3.125 (4.765)	Prec@5 16.016 (16.179)
Epoch: [14][1670/7045]	Time 0.103 (0.250)	Data 0.001 (0.189)	Loss 4.9730 (4.9987)	Prec@1 5.078 (4.767)	Prec@5 15.234 (16.183)
Epoch: [14][1680/7045]	Time 0.120 (0.250)	Data 0.067 (0.188)	Loss 4.9794 (4.9986)	Prec@1 4.297 (4.765)	Prec@5 18.750 (16.184)
Epoch: [14][1690/7045]	Time 0.148 (0.250)	Data 0.097 (0.189)	Loss 4.9804 (4.9984)	Prec@1 6.250 (4.768)	Prec@5 16.797 (16.190)
Epoch: [14][1700/7045]	Time 0.101 (0.250)	Data 0.001 (0.188)	Loss 5.0026 (4.9983)	Prec@1 3.125 (4.769)	Prec@5 17.578 (16.197)
Epoch: [14][1710/7045]	Time 0.182 (0.250)	Data 0.131 (0.189)	Loss 4.9907 (4.9983)	Prec@1 4.297 (4.770)	Prec@5 17.969 (16.200)
Epoch: [14][1720/7045]	Time 0.589 (0.250)	Data 0.538 (0.189)	Loss 4.9423 (4.9982)	Prec@1 7.812 (4.776)	Prec@5 17.188 (16.202)
Epoch: [14][1730/7045]	Time 0.251 (0.250)	Data 0.198 (0.189)	Loss 5.0351 (4.9984)	Prec@1 3.906 (4.776)	Prec@5 12.891 (16.199)
Epoch: [14][1740/7045]	Time 0.179 (0.250)	Data 0.128 (0.188)	Loss 5.1197 (4.9986)	Prec@1 3.516 (4.776)	Prec@5 13.281 (16.199)
Epoch: [14][1750/7045]	Time 0.409 (0.250)	Data 0.358 (0.189)	Loss 5.0663 (4.9987)	Prec@1 3.516 (4.772)	Prec@5 11.719 (16.192)
Epoch: [14][1760/7045]	Time 0.544 (0.251)	Data 0.493 (0.189)	Loss 5.0745 (4.9988)	Prec@1 3.906 (4.771)	Prec@5 12.109 (16.193)
Epoch: [14][1770/7045]	Time 0.108 (0.250)	Data 0.001 (0.189)	Loss 5.0128 (4.9990)	Prec@1 3.906 (4.770)	Prec@5 16.797 (16.192)
Epoch: [14][1780/7045]	Time 0.238 (0.250)	Data 0.185 (0.189)	Loss 5.0312 (4.9994)	Prec@1 4.688 (4.769)	Prec@5 14.453 (16.187)
Epoch: [14][1790/7045]	Time 0.176 (0.250)	Data 0.125 (0.189)	Loss 4.9857 (4.9991)	Prec@1 5.469 (4.772)	Prec@5 18.750 (16.191)
Epoch: [14][1800/7045]	Time 0.102 (0.250)	Data 0.001 (0.189)	Loss 4.9573 (4.9989)	Prec@1 4.688 (4.779)	Prec@5 17.578 (16.198)
Epoch: [14][1810/7045]	Time 0.110 (0.250)	Data 0.059 (0.189)	Loss 4.9159 (4.9987)	Prec@1 4.297 (4.780)	Prec@5 15.625 (16.202)
Epoch: [14][1820/7045]	Time 0.371 (0.250)	Data 0.320 (0.189)	Loss 5.0593 (4.9985)	Prec@1 3.516 (4.778)	Prec@5 14.062 (16.202)
Epoch: [14][1830/7045]	Time 0.511 (0.250)	Data 0.460 (0.189)	Loss 5.1658 (4.9987)	Prec@1 3.906 (4.774)	Prec@5 14.062 (16.197)
Epoch: [14][1840/7045]	Time 0.101 (0.250)	Data 0.001 (0.189)	Loss 5.1519 (4.9986)	Prec@1 5.469 (4.774)	Prec@5 14.844 (16.196)
Epoch: [14][1850/7045]	Time 0.319 (0.250)	Data 0.267 (0.189)	Loss 5.0372 (4.9988)	Prec@1 7.422 (4.777)	Prec@5 17.188 (16.200)
Epoch: [14][1860/7045]	Time 0.102 (0.250)	Data 0.020 (0.188)	Loss 4.8946 (4.9988)	Prec@1 4.297 (4.778)	Prec@5 16.016 (16.198)
Epoch: [14][1870/7045]	Time 0.128 (0.250)	Data 0.077 (0.188)	Loss 4.9122 (4.9985)	Prec@1 3.516 (4.779)	Prec@5 15.234 (16.204)
Epoch: [14][1880/7045]	Time 0.294 (0.250)	Data 0.242 (0.188)	Loss 4.9789 (4.9987)	Prec@1 6.250 (4.777)	Prec@5 16.797 (16.194)
Epoch: [14][1890/7045]	Time 0.101 (0.250)	Data 0.006 (0.188)	Loss 5.0327 (4.9988)	Prec@1 6.250 (4.778)	Prec@5 17.578 (16.195)
Epoch: [14][1900/7045]	Time 0.507 (0.250)	Data 0.455 (0.189)	Loss 5.0410 (4.9988)	Prec@1 2.344 (4.777)	Prec@5 14.062 (16.194)
Epoch: [14][1910/7045]	Time 0.179 (0.250)	Data 0.126 (0.189)	Loss 4.9117 (4.9984)	Prec@1 5.859 (4.780)	Prec@5 20.312 (16.201)
Epoch: [14][1920/7045]	Time 0.442 (0.250)	Data 0.391 (0.189)	Loss 4.8123 (4.9981)	Prec@1 5.859 (4.782)	Prec@5 20.703 (16.214)
Epoch: [14][1930/7045]	Time 0.402 (0.250)	Data 0.343 (0.189)	Loss 5.0809 (4.9984)	Prec@1 4.297 (4.780)	Prec@5 14.453 (16.204)
Epoch: [14][1940/7045]	Time 0.186 (0.250)	Data 0.128 (0.188)	Loss 4.9606 (4.9987)	Prec@1 5.469 (4.778)	Prec@5 14.062 (16.193)
Epoch: [14][1950/7045]	Time 0.548 (0.250)	Data 0.497 (0.189)	Loss 5.0597 (4.9987)	Prec@1 1.953 (4.775)	Prec@5 13.281 (16.191)
Epoch: [14][1960/7045]	Time 0.325 (0.250)	Data 0.274 (0.189)	Loss 5.0217 (4.9988)	Prec@1 5.078 (4.773)	Prec@5 17.188 (16.187)
Epoch: [14][1970/7045]	Time 0.372 (0.250)	Data 0.322 (0.189)	Loss 4.9445 (4.9989)	Prec@1 5.859 (4.775)	Prec@5 19.141 (16.193)
Epoch: [14][1980/7045]	Time 0.562 (0.250)	Data 0.511 (0.189)	Loss 5.0815 (4.9989)	Prec@1 5.078 (4.776)	Prec@5 13.281 (16.197)
Epoch: [14][1990/7045]	Time 0.102 (0.250)	Data 0.009 (0.188)	Loss 5.0570 (4.9989)	Prec@1 5.078 (4.775)	Prec@5 14.453 (16.196)
Epoch: [14][2000/7045]	Time 0.417 (0.250)	Data 0.366 (0.189)	Loss 4.9550 (4.9987)	Prec@1 2.734 (4.774)	Prec@5 15.625 (16.196)
Epoch: [14][2010/7045]	Time 0.214 (0.250)	Data 0.163 (0.188)	Loss 4.9385 (4.9984)	Prec@1 7.422 (4.775)	Prec@5 17.578 (16.202)
Epoch: [14][2020/7045]	Time 0.190 (0.250)	Data 0.138 (0.189)	Loss 4.9265 (4.9982)	Prec@1 5.469 (4.781)	Prec@5 17.578 (16.210)
Epoch: [14][2030/7045]	Time 0.386 (0.250)	Data 0.335 (0.188)	Loss 5.0123 (4.9984)	Prec@1 3.906 (4.779)	Prec@5 16.797 (16.209)
Epoch: [14][2040/7045]	Time 0.198 (0.250)	Data 0.146 (0.188)	Loss 5.0599 (4.9981)	Prec@1 4.297 (4.781)	Prec@5 14.453 (16.215)
Epoch: [14][2050/7045]	Time 0.364 (0.250)	Data 0.307 (0.189)	Loss 5.0282 (4.9979)	Prec@1 6.250 (4.780)	Prec@5 17.188 (16.216)
Epoch: [14][2060/7045]	Time 0.101 (0.250)	Data 0.045 (0.188)	Loss 4.9934 (4.9977)	Prec@1 4.297 (4.778)	Prec@5 20.312 (16.221)
Epoch: [14][2070/7045]	Time 0.210 (0.250)	Data 0.159 (0.189)	Loss 5.0792 (4.9975)	Prec@1 3.906 (4.780)	Prec@5 15.625 (16.226)
Epoch: [14][2080/7045]	Time 0.113 (0.250)	Data 0.061 (0.189)	Loss 4.8649 (4.9973)	Prec@1 3.906 (4.778)	Prec@5 17.578 (16.230)
Epoch: [14][2090/7045]	Time 0.142 (0.250)	Data 0.091 (0.189)	Loss 4.8155 (4.9967)	Prec@1 5.859 (4.782)	Prec@5 17.578 (16.239)
Epoch: [14][2100/7045]	Time 0.180 (0.250)	Data 0.129 (0.189)	Loss 4.9998 (4.9967)	Prec@1 6.641 (4.784)	Prec@5 14.844 (16.239)
Epoch: [14][2110/7045]	Time 0.521 (0.250)	Data 0.470 (0.189)	Loss 4.9265 (4.9968)	Prec@1 5.859 (4.783)	Prec@5 15.625 (16.240)
Epoch: [14][2120/7045]	Time 0.108 (0.250)	Data 0.004 (0.189)	Loss 4.9493 (4.9967)	Prec@1 7.031 (4.787)	Prec@5 19.922 (16.242)
Epoch: [14][2130/7045]	Time 0.330 (0.250)	Data 0.279 (0.189)	Loss 5.0458 (4.9968)	Prec@1 5.078 (4.787)	Prec@5 15.234 (16.243)
Epoch: [14][2140/7045]	Time 0.101 (0.250)	Data 0.002 (0.189)	Loss 5.0092 (4.9969)	Prec@1 5.078 (4.787)	Prec@5 14.453 (16.238)
Epoch: [14][2150/7045]	Time 0.720 (0.250)	Data 0.669 (0.189)	Loss 4.8393 (4.9968)	Prec@1 7.031 (4.786)	Prec@5 19.531 (16.238)
Epoch: [14][2160/7045]	Time 0.107 (0.250)	Data 0.054 (0.189)	Loss 5.2024 (4.9968)	Prec@1 3.125 (4.785)	Prec@5 15.234 (16.239)
Epoch: [14][2170/7045]	Time 0.597 (0.250)	Data 0.539 (0.189)	Loss 5.0247 (4.9972)	Prec@1 7.812 (4.786)	Prec@5 18.359 (16.236)
Epoch: [14][2180/7045]	Time 0.311 (0.250)	Data 0.260 (0.189)	Loss 5.0870 (4.9972)	Prec@1 3.516 (4.785)	Prec@5 11.719 (16.234)
Epoch: [14][2190/7045]	Time 0.349 (0.250)	Data 0.299 (0.188)	Loss 4.9737 (4.9972)	Prec@1 6.250 (4.786)	Prec@5 17.188 (16.232)
Epoch: [14][2200/7045]	Time 0.352 (0.250)	Data 0.301 (0.188)	Loss 4.9622 (4.9971)	Prec@1 5.859 (4.787)	Prec@5 17.969 (16.231)
Epoch: [14][2210/7045]	Time 0.327 (0.250)	Data 0.275 (0.188)	Loss 5.0167 (4.9974)	Prec@1 7.031 (4.787)	Prec@5 15.625 (16.231)
Epoch: [14][2220/7045]	Time 0.314 (0.250)	Data 0.261 (0.188)	Loss 4.9431 (4.9976)	Prec@1 4.297 (4.784)	Prec@5 17.969 (16.230)
Epoch: [14][2230/7045]	Time 0.270 (0.250)	Data 0.219 (0.188)	Loss 5.0826 (4.9976)	Prec@1 3.516 (4.782)	Prec@5 15.625 (16.229)
Epoch: [14][2240/7045]	Time 0.110 (0.250)	Data 0.058 (0.188)	Loss 4.9760 (4.9975)	Prec@1 4.688 (4.781)	Prec@5 16.797 (16.232)
Epoch: [14][2250/7045]	Time 0.134 (0.250)	Data 0.083 (0.188)	Loss 4.8826 (4.9973)	Prec@1 5.469 (4.784)	Prec@5 17.969 (16.236)
Epoch: [14][2260/7045]	Time 0.101 (0.250)	Data 0.001 (0.188)	Loss 5.0170 (4.9970)	Prec@1 5.469 (4.785)	Prec@5 17.578 (16.242)
Epoch: [14][2270/7045]	Time 0.102 (0.250)	Data 0.044 (0.188)	Loss 4.8913 (4.9972)	Prec@1 3.906 (4.786)	Prec@5 17.188 (16.239)
Epoch: [14][2280/7045]	Time 0.450 (0.250)	Data 0.398 (0.188)	Loss 4.9081 (4.9972)	Prec@1 3.906 (4.785)	Prec@5 18.359 (16.237)
Epoch: [14][2290/7045]	Time 0.102 (0.250)	Data 0.001 (0.188)	Loss 5.0587 (4.9974)	Prec@1 2.344 (4.782)	Prec@5 14.844 (16.235)
Epoch: [14][2300/7045]	Time 0.464 (0.250)	Data 0.405 (0.188)	Loss 5.0812 (4.9975)	Prec@1 2.734 (4.779)	Prec@5 16.406 (16.234)
Epoch: [14][2310/7045]	Time 0.100 (0.250)	Data 0.045 (0.188)	Loss 4.8785 (4.9973)	Prec@1 7.422 (4.779)	Prec@5 18.750 (16.239)
Epoch: [14][2320/7045]	Time 0.348 (0.250)	Data 0.295 (0.188)	Loss 4.8584 (4.9972)	Prec@1 8.203 (4.779)	Prec@5 21.484 (16.241)
Epoch: [14][2330/7045]	Time 0.285 (0.250)	Data 0.233 (0.188)	Loss 5.0164 (4.9973)	Prec@1 3.906 (4.776)	Prec@5 16.016 (16.233)
Epoch: [14][2340/7045]	Time 0.241 (0.250)	Data 0.190 (0.188)	Loss 5.1020 (4.9975)	Prec@1 5.469 (4.777)	Prec@5 16.016 (16.232)
Epoch: [14][2350/7045]	Time 0.532 (0.250)	Data 0.476 (0.188)	Loss 5.0902 (4.9975)	Prec@1 1.953 (4.774)	Prec@5 14.453 (16.234)
Epoch: [14][2360/7045]	Time 0.102 (0.250)	Data 0.048 (0.188)	Loss 5.0627 (4.9975)	Prec@1 3.516 (4.772)	Prec@5 14.062 (16.229)
Epoch: [14][2370/7045]	Time 0.646 (0.250)	Data 0.588 (0.188)	Loss 4.9261 (4.9976)	Prec@1 3.906 (4.771)	Prec@5 14.844 (16.224)
Epoch: [14][2380/7045]	Time 0.103 (0.250)	Data 0.050 (0.188)	Loss 4.9439 (4.9977)	Prec@1 5.859 (4.769)	Prec@5 17.188 (16.225)
Epoch: [14][2390/7045]	Time 0.454 (0.250)	Data 0.401 (0.188)	Loss 5.0140 (4.9976)	Prec@1 4.297 (4.769)	Prec@5 16.797 (16.227)
Epoch: [14][2400/7045]	Time 0.102 (0.250)	Data 0.008 (0.188)	Loss 4.8413 (4.9977)	Prec@1 6.641 (4.770)	Prec@5 17.969 (16.227)
Epoch: [14][2410/7045]	Time 0.591 (0.250)	Data 0.539 (0.188)	Loss 4.9227 (4.9975)	Prec@1 5.078 (4.768)	Prec@5 17.188 (16.228)
Epoch: [14][2420/7045]	Time 0.101 (0.249)	Data 0.007 (0.188)	Loss 4.9181 (4.9973)	Prec@1 5.859 (4.769)	Prec@5 15.625 (16.231)
Epoch: [14][2430/7045]	Time 0.648 (0.250)	Data 0.597 (0.188)	Loss 5.1138 (4.9974)	Prec@1 4.688 (4.767)	Prec@5 16.406 (16.225)
Epoch: [14][2440/7045]	Time 0.102 (0.249)	Data 0.001 (0.187)	Loss 5.0377 (4.9975)	Prec@1 6.250 (4.768)	Prec@5 15.234 (16.225)
Epoch: [14][2450/7045]	Time 0.525 (0.249)	Data 0.473 (0.187)	Loss 5.1791 (4.9978)	Prec@1 3.125 (4.765)	Prec@5 12.500 (16.219)
Epoch: [14][2460/7045]	Time 0.102 (0.249)	Data 0.001 (0.187)	Loss 5.0218 (4.9979)	Prec@1 5.078 (4.763)	Prec@5 15.234 (16.214)
Epoch: [14][2470/7045]	Time 0.364 (0.249)	Data 0.314 (0.187)	Loss 5.0234 (4.9979)	Prec@1 1.562 (4.764)	Prec@5 10.156 (16.214)
Epoch: [14][2480/7045]	Time 0.112 (0.249)	Data 0.060 (0.187)	Loss 5.0430 (4.9977)	Prec@1 6.250 (4.767)	Prec@5 16.797 (16.221)
Epoch: [14][2490/7045]	Time 0.187 (0.249)	Data 0.134 (0.187)	Loss 4.9733 (4.9978)	Prec@1 5.078 (4.766)	Prec@5 17.188 (16.214)
Epoch: [14][2500/7045]	Time 0.102 (0.249)	Data 0.050 (0.187)	Loss 5.0396 (4.9978)	Prec@1 5.469 (4.764)	Prec@5 17.969 (16.211)
Epoch: [14][2510/7045]	Time 0.115 (0.249)	Data 0.063 (0.187)	Loss 5.0204 (4.9981)	Prec@1 5.859 (4.763)	Prec@5 16.016 (16.205)
Epoch: [14][2520/7045]	Time 0.102 (0.249)	Data 0.003 (0.187)	Loss 4.9995 (4.9981)	Prec@1 3.516 (4.761)	Prec@5 18.750 (16.205)
Epoch: [14][2530/7045]	Time 0.177 (0.249)	Data 0.118 (0.187)	Loss 4.9905 (4.9982)	Prec@1 6.250 (4.758)	Prec@5 16.016 (16.201)
Epoch: [14][2540/7045]	Time 0.102 (0.249)	Data 0.050 (0.187)	Loss 5.0008 (4.9985)	Prec@1 5.078 (4.755)	Prec@5 17.578 (16.196)
Epoch: [14][2550/7045]	Time 0.125 (0.249)	Data 0.073 (0.187)	Loss 4.9558 (4.9983)	Prec@1 6.250 (4.757)	Prec@5 18.359 (16.198)
Epoch: [14][2560/7045]	Time 0.205 (0.249)	Data 0.154 (0.187)	Loss 5.0728 (4.9985)	Prec@1 3.125 (4.756)	Prec@5 15.234 (16.195)
Epoch: [14][2570/7045]	Time 0.150 (0.249)	Data 0.099 (0.187)	Loss 4.9594 (4.9986)	Prec@1 5.469 (4.756)	Prec@5 15.625 (16.195)
Epoch: [14][2580/7045]	Time 0.273 (0.249)	Data 0.221 (0.187)	Loss 5.1748 (4.9987)	Prec@1 3.906 (4.755)	Prec@5 13.672 (16.192)
Epoch: [14][2590/7045]	Time 0.101 (0.249)	Data 0.013 (0.187)	Loss 4.8673 (4.9988)	Prec@1 5.469 (4.755)	Prec@5 20.312 (16.190)
Epoch: [14][2600/7045]	Time 0.267 (0.249)	Data 0.215 (0.187)	Loss 4.8081 (4.9988)	Prec@1 7.031 (4.754)	Prec@5 26.562 (16.197)
Epoch: [14][2610/7045]	Time 0.246 (0.249)	Data 0.194 (0.187)	Loss 5.0957 (4.9988)	Prec@1 3.516 (4.752)	Prec@5 14.453 (16.197)
Epoch: [14][2620/7045]	Time 0.176 (0.249)	Data 0.125 (0.187)	Loss 4.9660 (4.9987)	Prec@1 3.906 (4.752)	Prec@5 18.750 (16.199)
Epoch: [14][2630/7045]	Time 0.332 (0.249)	Data 0.281 (0.187)	Loss 4.9930 (4.9987)	Prec@1 7.031 (4.753)	Prec@5 16.797 (16.202)
Epoch: [14][2640/7045]	Time 0.264 (0.249)	Data 0.214 (0.187)	Loss 4.9820 (4.9990)	Prec@1 5.859 (4.753)	Prec@5 17.969 (16.197)
Epoch: [14][2650/7045]	Time 0.258 (0.249)	Data 0.206 (0.187)	Loss 4.9586 (4.9991)	Prec@1 4.297 (4.752)	Prec@5 14.453 (16.195)
Epoch: [14][2660/7045]	Time 0.102 (0.249)	Data 0.001 (0.187)	Loss 5.0629 (4.9990)	Prec@1 4.297 (4.754)	Prec@5 17.188 (16.199)
Epoch: [14][2670/7045]	Time 0.126 (0.249)	Data 0.067 (0.187)	Loss 4.9755 (4.9990)	Prec@1 5.469 (4.754)	Prec@5 18.750 (16.203)
Epoch: [14][2680/7045]	Time 0.102 (0.249)	Data 0.001 (0.187)	Loss 4.9690 (4.9990)	Prec@1 6.641 (4.754)	Prec@5 17.969 (16.203)
Epoch: [14][2690/7045]	Time 0.330 (0.249)	Data 0.278 (0.187)	Loss 4.9454 (4.9989)	Prec@1 4.297 (4.755)	Prec@5 17.188 (16.204)
Epoch: [14][2700/7045]	Time 0.467 (0.249)	Data 0.410 (0.187)	Loss 4.9610 (4.9987)	Prec@1 4.297 (4.755)	Prec@5 14.453 (16.206)
Epoch: [14][2710/7045]	Time 0.196 (0.249)	Data 0.145 (0.187)	Loss 4.8637 (4.9987)	Prec@1 6.250 (4.754)	Prec@5 19.922 (16.204)
Epoch: [14][2720/7045]	Time 0.115 (0.249)	Data 0.063 (0.187)	Loss 5.0704 (4.9988)	Prec@1 4.688 (4.754)	Prec@5 17.188 (16.205)
Epoch: [14][2730/7045]	Time 0.101 (0.249)	Data 0.001 (0.187)	Loss 5.0180 (4.9988)	Prec@1 3.516 (4.753)	Prec@5 12.500 (16.205)
Epoch: [14][2740/7045]	Time 0.300 (0.249)	Data 0.249 (0.187)	Loss 4.9777 (4.9986)	Prec@1 4.297 (4.754)	Prec@5 15.625 (16.205)
Epoch: [14][2750/7045]	Time 0.101 (0.249)	Data 0.001 (0.187)	Loss 4.9810 (4.9986)	Prec@1 4.688 (4.753)	Prec@5 19.922 (16.208)
Epoch: [14][2760/7045]	Time 0.186 (0.249)	Data 0.125 (0.187)	Loss 5.0668 (4.9986)	Prec@1 3.906 (4.754)	Prec@5 14.453 (16.207)
Epoch: [14][2770/7045]	Time 0.125 (0.249)	Data 0.073 (0.187)	Loss 4.8394 (4.9986)	Prec@1 4.688 (4.751)	Prec@5 18.359 (16.204)
Epoch: [14][2780/7045]	Time 0.224 (0.249)	Data 0.172 (0.187)	Loss 5.1103 (4.9987)	Prec@1 3.906 (4.752)	Prec@5 13.281 (16.204)
Epoch: [14][2790/7045]	Time 0.256 (0.249)	Data 0.205 (0.187)	Loss 4.9629 (4.9987)	Prec@1 5.469 (4.751)	Prec@5 17.969 (16.208)
Epoch: [14][2800/7045]	Time 0.191 (0.249)	Data 0.140 (0.187)	Loss 5.0960 (4.9988)	Prec@1 3.906 (4.751)	Prec@5 12.891 (16.205)
Epoch: [14][2810/7045]	Time 0.156 (0.249)	Data 0.104 (0.187)	Loss 4.9187 (4.9990)	Prec@1 5.078 (4.750)	Prec@5 17.188 (16.203)
Epoch: [14][2820/7045]	Time 0.104 (0.249)	Data 0.052 (0.187)	Loss 4.9980 (4.9993)	Prec@1 5.469 (4.749)	Prec@5 19.531 (16.202)
Epoch: [14][2830/7045]	Time 0.147 (0.249)	Data 0.095 (0.187)	Loss 5.0130 (4.9993)	Prec@1 5.078 (4.752)	Prec@5 15.625 (16.201)
Epoch: [14][2840/7045]	Time 0.101 (0.249)	Data 0.002 (0.187)	Loss 5.0314 (4.9993)	Prec@1 4.688 (4.754)	Prec@5 12.500 (16.203)
Epoch: [14][2850/7045]	Time 0.425 (0.249)	Data 0.367 (0.187)	Loss 4.9652 (4.9993)	Prec@1 3.516 (4.753)	Prec@5 14.453 (16.200)
Epoch: [14][2860/7045]	Time 0.102 (0.249)	Data 0.001 (0.187)	Loss 4.8795 (4.9993)	Prec@1 6.641 (4.754)	Prec@5 18.359 (16.200)
Epoch: [14][2870/7045]	Time 0.578 (0.249)	Data 0.526 (0.187)	Loss 4.9918 (4.9995)	Prec@1 3.906 (4.754)	Prec@5 18.359 (16.198)
Epoch: [14][2880/7045]	Time 0.102 (0.249)	Data 0.032 (0.187)	Loss 4.9316 (4.9995)	Prec@1 3.906 (4.755)	Prec@5 20.703 (16.202)
Epoch: [14][2890/7045]	Time 0.416 (0.249)	Data 0.365 (0.187)	Loss 5.0876 (4.9996)	Prec@1 3.125 (4.754)	Prec@5 14.062 (16.200)
Epoch: [14][2900/7045]	Time 0.102 (0.249)	Data 0.003 (0.187)	Loss 5.1052 (4.9997)	Prec@1 3.125 (4.752)	Prec@5 12.891 (16.196)
Epoch: [14][2910/7045]	Time 0.101 (0.249)	Data 0.021 (0.187)	Loss 5.0590 (4.9998)	Prec@1 4.297 (4.753)	Prec@5 16.406 (16.196)
Epoch: [14][2920/7045]	Time 0.102 (0.249)	Data 0.001 (0.187)	Loss 5.1165 (4.9998)	Prec@1 4.297 (4.751)	Prec@5 14.453 (16.197)
Epoch: [14][2930/7045]	Time 0.101 (0.249)	Data 0.014 (0.187)	Loss 4.8902 (4.9998)	Prec@1 4.297 (4.751)	Prec@5 21.094 (16.200)
Epoch: [14][2940/7045]	Time 0.099 (0.249)	Data 0.047 (0.187)	Loss 5.0350 (4.9999)	Prec@1 7.422 (4.752)	Prec@5 18.750 (16.199)
Epoch: [14][2950/7045]	Time 0.582 (0.249)	Data 0.530 (0.187)	Loss 5.0116 (4.9998)	Prec@1 3.516 (4.753)	Prec@5 14.453 (16.199)
Epoch: [14][2960/7045]	Time 0.104 (0.249)	Data 0.050 (0.187)	Loss 5.0264 (4.9998)	Prec@1 2.344 (4.754)	Prec@5 14.062 (16.199)
Epoch: [14][2970/7045]	Time 0.313 (0.249)	Data 0.262 (0.187)	Loss 4.9689 (5.0001)	Prec@1 5.078 (4.753)	Prec@5 15.234 (16.193)
Epoch: [14][2980/7045]	Time 0.101 (0.249)	Data 0.001 (0.187)	Loss 5.0417 (5.0003)	Prec@1 5.469 (4.752)	Prec@5 16.406 (16.188)
Epoch: [14][2990/7045]	Time 0.115 (0.249)	Data 0.062 (0.187)	Loss 4.9581 (5.0003)	Prec@1 5.469 (4.749)	Prec@5 19.141 (16.186)
Epoch: [14][3000/7045]	Time 0.125 (0.249)	Data 0.074 (0.187)	Loss 4.9600 (5.0002)	Prec@1 4.297 (4.749)	Prec@5 16.406 (16.186)
Epoch: [14][3010/7045]	Time 0.203 (0.249)	Data 0.152 (0.187)	Loss 5.0264 (5.0003)	Prec@1 3.906 (4.751)	Prec@5 15.625 (16.185)
Epoch: [14][3020/7045]	Time 0.250 (0.249)	Data 0.198 (0.187)	Loss 4.9699 (5.0004)	Prec@1 7.031 (4.752)	Prec@5 17.969 (16.186)
Epoch: [14][3030/7045]	Time 0.270 (0.249)	Data 0.218 (0.187)	Loss 4.8962 (5.0002)	Prec@1 5.859 (4.753)	Prec@5 18.359 (16.188)
Epoch: [14][3040/7045]	Time 0.114 (0.249)	Data 0.061 (0.187)	Loss 4.9768 (5.0003)	Prec@1 6.250 (4.753)	Prec@5 14.062 (16.184)
Epoch: [14][3050/7045]	Time 0.102 (0.249)	Data 0.001 (0.187)	Loss 5.0588 (5.0002)	Prec@1 2.734 (4.753)	Prec@5 16.797 (16.183)
Epoch: [14][3060/7045]	Time 0.101 (0.249)	Data 0.006 (0.187)	Loss 4.8466 (5.0001)	Prec@1 6.250 (4.754)	Prec@5 19.922 (16.187)
Epoch: [14][3070/7045]	Time 0.367 (0.249)	Data 0.316 (0.187)	Loss 5.0534 (5.0001)	Prec@1 3.125 (4.754)	Prec@5 12.500 (16.188)
Epoch: [14][3080/7045]	Time 0.100 (0.249)	Data 0.043 (0.187)	Loss 4.9846 (4.9999)	Prec@1 6.250 (4.754)	Prec@5 17.188 (16.190)
Epoch: [14][3090/7045]	Time 0.646 (0.249)	Data 0.596 (0.187)	Loss 4.8368 (4.9998)	Prec@1 7.422 (4.755)	Prec@5 17.578 (16.193)
Epoch: [14][3100/7045]	Time 0.107 (0.249)	Data 0.001 (0.187)	Loss 4.9716 (4.9997)	Prec@1 5.078 (4.757)	Prec@5 17.578 (16.193)
Epoch: [14][3110/7045]	Time 0.629 (0.249)	Data 0.577 (0.187)	Loss 5.0518 (4.9998)	Prec@1 4.688 (4.757)	Prec@5 14.453 (16.194)
Epoch: [14][3120/7045]	Time 0.109 (0.249)	Data 0.001 (0.186)	Loss 5.1262 (4.9999)	Prec@1 3.516 (4.754)	Prec@5 11.719 (16.190)
Epoch: [14][3130/7045]	Time 0.583 (0.249)	Data 0.532 (0.187)	Loss 5.0548 (5.0002)	Prec@1 5.078 (4.752)	Prec@5 16.016 (16.187)
Epoch: [14][3140/7045]	Time 0.103 (0.249)	Data 0.001 (0.186)	Loss 5.0309 (5.0001)	Prec@1 3.906 (4.754)	Prec@5 14.062 (16.186)
Epoch: [14][3150/7045]	Time 0.470 (0.249)	Data 0.419 (0.186)	Loss 5.1062 (5.0003)	Prec@1 1.562 (4.751)	Prec@5 12.500 (16.182)
Epoch: [14][3160/7045]	Time 0.101 (0.249)	Data 0.001 (0.186)	Loss 5.1852 (5.0004)	Prec@1 3.906 (4.750)	Prec@5 12.891 (16.179)
Epoch: [14][3170/7045]	Time 0.362 (0.249)	Data 0.309 (0.186)	Loss 4.8898 (5.0004)	Prec@1 5.078 (4.748)	Prec@5 17.969 (16.180)
Epoch: [14][3180/7045]	Time 0.103 (0.249)	Data 0.001 (0.186)	Loss 5.0262 (5.0004)	Prec@1 3.516 (4.748)	Prec@5 15.234 (16.182)
Epoch: [14][3190/7045]	Time 0.108 (0.249)	Data 0.006 (0.186)	Loss 4.9778 (5.0004)	Prec@1 7.812 (4.748)	Prec@5 16.016 (16.180)
Epoch: [14][3200/7045]	Time 0.102 (0.249)	Data 0.001 (0.186)	Loss 5.0385 (5.0003)	Prec@1 5.469 (4.751)	Prec@5 17.578 (16.185)
Epoch: [14][3210/7045]	Time 0.307 (0.249)	Data 0.251 (0.186)	Loss 5.0274 (5.0002)	Prec@1 3.125 (4.749)	Prec@5 16.406 (16.188)
Epoch: [14][3220/7045]	Time 0.511 (0.249)	Data 0.458 (0.186)	Loss 5.0644 (5.0003)	Prec@1 4.688 (4.749)	Prec@5 17.969 (16.186)
Epoch: [14][3230/7045]	Time 0.108 (0.249)	Data 0.056 (0.186)	Loss 4.9344 (5.0003)	Prec@1 4.297 (4.750)	Prec@5 14.062 (16.186)
Epoch: [14][3240/7045]	Time 0.746 (0.249)	Data 0.695 (0.186)	Loss 4.9656 (5.0003)	Prec@1 3.125 (4.751)	Prec@5 17.188 (16.182)
Epoch: [14][3250/7045]	Time 0.101 (0.249)	Data 0.001 (0.186)	Loss 5.1920 (5.0006)	Prec@1 4.688 (4.750)	Prec@5 13.281 (16.177)
Epoch: [14][3260/7045]	Time 0.644 (0.249)	Data 0.592 (0.186)	Loss 5.0727 (5.0007)	Prec@1 3.906 (4.748)	Prec@5 13.281 (16.173)
Epoch: [14][3270/7045]	Time 0.102 (0.249)	Data 0.001 (0.186)	Loss 5.0013 (5.0007)	Prec@1 5.078 (4.750)	Prec@5 16.797 (16.179)
Epoch: [14][3280/7045]	Time 0.318 (0.249)	Data 0.266 (0.186)	Loss 5.0323 (5.0005)	Prec@1 5.078 (4.752)	Prec@5 16.406 (16.182)
Epoch: [14][3290/7045]	Time 0.104 (0.249)	Data 0.053 (0.186)	Loss 4.9482 (5.0005)	Prec@1 6.250 (4.754)	Prec@5 17.578 (16.184)
Epoch: [14][3300/7045]	Time 0.108 (0.249)	Data 0.004 (0.186)	Loss 5.0344 (5.0004)	Prec@1 5.859 (4.754)	Prec@5 15.625 (16.184)
Epoch: [14][3310/7045]	Time 0.208 (0.249)	Data 0.157 (0.186)	Loss 5.0931 (5.0004)	Prec@1 2.344 (4.754)	Prec@5 12.500 (16.188)
Epoch: [14][3320/7045]	Time 0.103 (0.249)	Data 0.051 (0.186)	Loss 4.9535 (5.0005)	Prec@1 5.859 (4.754)	Prec@5 20.703 (16.187)
Epoch: [14][3330/7045]	Time 0.556 (0.249)	Data 0.505 (0.186)	Loss 5.1209 (5.0006)	Prec@1 4.688 (4.753)	Prec@5 13.281 (16.184)
Epoch: [14][3340/7045]	Time 0.100 (0.249)	Data 0.001 (0.186)	Loss 5.0721 (5.0007)	Prec@1 4.688 (4.752)	Prec@5 14.844 (16.185)
Epoch: [14][3350/7045]	Time 0.615 (0.249)	Data 0.562 (0.186)	Loss 5.0260 (5.0007)	Prec@1 2.734 (4.752)	Prec@5 14.844 (16.188)
Epoch: [14][3360/7045]	Time 0.107 (0.249)	Data 0.001 (0.186)	Loss 4.9084 (5.0006)	Prec@1 6.250 (4.752)	Prec@5 20.312 (16.189)
Epoch: [14][3370/7045]	Time 0.546 (0.249)	Data 0.487 (0.186)	Loss 4.9383 (5.0005)	Prec@1 7.812 (4.754)	Prec@5 21.484 (16.191)
Epoch: [14][3380/7045]	Time 0.101 (0.249)	Data 0.048 (0.185)	Loss 5.0448 (5.0003)	Prec@1 4.297 (4.754)	Prec@5 16.016 (16.194)
Epoch: [14][3390/7045]	Time 0.255 (0.249)	Data 0.204 (0.186)	Loss 5.0792 (5.0002)	Prec@1 3.125 (4.752)	Prec@5 10.938 (16.195)
Epoch: [14][3400/7045]	Time 0.127 (0.249)	Data 0.076 (0.185)	Loss 5.0847 (5.0003)	Prec@1 4.688 (4.752)	Prec@5 14.844 (16.195)
Epoch: [14][3410/7045]	Time 0.193 (0.249)	Data 0.135 (0.186)	Loss 5.0378 (5.0003)	Prec@1 3.516 (4.751)	Prec@5 17.188 (16.192)
Epoch: [14][3420/7045]	Time 0.101 (0.249)	Data 0.004 (0.185)	Loss 4.9292 (5.0002)	Prec@1 5.078 (4.751)	Prec@5 17.188 (16.196)
Epoch: [14][3430/7045]	Time 0.102 (0.249)	Data 0.007 (0.185)	Loss 4.8455 (5.0000)	Prec@1 6.641 (4.752)	Prec@5 19.141 (16.199)
Epoch: [14][3440/7045]	Time 0.106 (0.249)	Data 0.052 (0.185)	Loss 4.9612 (4.9999)	Prec@1 5.469 (4.752)	Prec@5 16.406 (16.199)
Epoch: [14][3450/7045]	Time 0.102 (0.249)	Data 0.003 (0.185)	Loss 5.0221 (4.9998)	Prec@1 2.734 (4.752)	Prec@5 13.672 (16.201)
Epoch: [14][3460/7045]	Time 0.100 (0.249)	Data 0.001 (0.185)	Loss 5.0057 (4.9998)	Prec@1 4.297 (4.753)	Prec@5 13.281 (16.203)
Epoch: [14][3470/7045]	Time 0.101 (0.249)	Data 0.008 (0.185)	Loss 4.8913 (4.9997)	Prec@1 4.688 (4.755)	Prec@5 17.969 (16.205)
Epoch: [14][3480/7045]	Time 0.399 (0.249)	Data 0.347 (0.185)	Loss 4.9647 (4.9997)	Prec@1 6.641 (4.754)	Prec@5 16.797 (16.205)
Epoch: [14][3490/7045]	Time 0.111 (0.249)	Data 0.001 (0.185)	Loss 5.0889 (4.9997)	Prec@1 2.734 (4.752)	Prec@5 16.406 (16.205)
Epoch: [14][3500/7045]	Time 0.774 (0.249)	Data 0.724 (0.185)	Loss 5.0364 (4.9995)	Prec@1 4.688 (4.753)	Prec@5 16.406 (16.208)
Epoch: [14][3510/7045]	Time 0.116 (0.249)	Data 0.056 (0.185)	Loss 4.9305 (4.9994)	Prec@1 3.125 (4.753)	Prec@5 15.625 (16.207)
Epoch: [14][3520/7045]	Time 0.470 (0.249)	Data 0.418 (0.185)	Loss 4.9963 (4.9994)	Prec@1 3.516 (4.754)	Prec@5 14.062 (16.205)
Epoch: [14][3530/7045]	Time 0.218 (0.249)	Data 0.168 (0.185)	Loss 4.9565 (4.9994)	Prec@1 6.641 (4.755)	Prec@5 17.188 (16.205)
Epoch: [14][3540/7045]	Time 0.199 (0.249)	Data 0.148 (0.185)	Loss 4.9751 (4.9994)	Prec@1 3.906 (4.755)	Prec@5 15.625 (16.203)
Epoch: [14][3550/7045]	Time 0.229 (0.249)	Data 0.177 (0.185)	Loss 5.0387 (4.9995)	Prec@1 3.906 (4.755)	Prec@5 15.234 (16.202)
Epoch: [14][3560/7045]	Time 0.102 (0.249)	Data 0.004 (0.185)	Loss 5.1036 (4.9995)	Prec@1 4.297 (4.756)	Prec@5 13.281 (16.200)
Epoch: [14][3570/7045]	Time 0.425 (0.249)	Data 0.375 (0.185)	Loss 5.0326 (4.9997)	Prec@1 3.125 (4.753)	Prec@5 16.016 (16.199)
Epoch: [14][3580/7045]	Time 0.102 (0.249)	Data 0.050 (0.185)	Loss 4.9806 (4.9999)	Prec@1 5.078 (4.751)	Prec@5 16.406 (16.195)
Epoch: [14][3590/7045]	Time 0.529 (0.249)	Data 0.477 (0.185)	Loss 5.1132 (4.9999)	Prec@1 3.906 (4.750)	Prec@5 14.062 (16.193)
Epoch: [14][3600/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.9090 (5.0000)	Prec@1 6.641 (4.751)	Prec@5 16.016 (16.191)
Epoch: [14][3610/7045]	Time 0.519 (0.249)	Data 0.463 (0.185)	Loss 5.2060 (5.0002)	Prec@1 5.859 (4.748)	Prec@5 14.844 (16.188)
Epoch: [14][3620/7045]	Time 0.110 (0.249)	Data 0.058 (0.185)	Loss 4.9892 (5.0001)	Prec@1 5.859 (4.748)	Prec@5 16.797 (16.185)
Epoch: [14][3630/7045]	Time 0.485 (0.249)	Data 0.426 (0.185)	Loss 4.9110 (5.0002)	Prec@1 4.297 (4.746)	Prec@5 17.969 (16.181)
Epoch: [14][3640/7045]	Time 0.101 (0.249)	Data 0.007 (0.185)	Loss 4.9433 (5.0002)	Prec@1 4.688 (4.746)	Prec@5 20.703 (16.180)
Epoch: [14][3650/7045]	Time 0.493 (0.249)	Data 0.441 (0.185)	Loss 5.2805 (5.0003)	Prec@1 1.562 (4.745)	Prec@5 7.812 (16.179)
Epoch: [14][3660/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 4.9902 (5.0004)	Prec@1 3.906 (4.744)	Prec@5 13.672 (16.174)
Epoch: [14][3670/7045]	Time 0.461 (0.249)	Data 0.409 (0.185)	Loss 5.1189 (5.0004)	Prec@1 3.516 (4.743)	Prec@5 10.156 (16.172)
Epoch: [14][3680/7045]	Time 0.131 (0.249)	Data 0.080 (0.185)	Loss 5.0621 (5.0004)	Prec@1 4.297 (4.744)	Prec@5 14.062 (16.173)
Epoch: [14][3690/7045]	Time 0.402 (0.249)	Data 0.349 (0.185)	Loss 5.0338 (5.0003)	Prec@1 3.516 (4.744)	Prec@5 17.188 (16.174)
Epoch: [14][3700/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.9855 (5.0003)	Prec@1 3.125 (4.744)	Prec@5 15.625 (16.174)
Epoch: [14][3710/7045]	Time 0.226 (0.249)	Data 0.176 (0.185)	Loss 5.0667 (5.0003)	Prec@1 2.734 (4.743)	Prec@5 13.672 (16.172)
Epoch: [14][3720/7045]	Time 0.106 (0.249)	Data 0.002 (0.185)	Loss 5.1515 (5.0005)	Prec@1 4.688 (4.743)	Prec@5 16.016 (16.169)
Epoch: [14][3730/7045]	Time 0.104 (0.248)	Data 0.052 (0.185)	Loss 4.9420 (5.0004)	Prec@1 5.469 (4.744)	Prec@5 19.531 (16.169)
Epoch: [14][3740/7045]	Time 0.109 (0.249)	Data 0.001 (0.185)	Loss 4.8797 (5.0003)	Prec@1 3.516 (4.742)	Prec@5 17.969 (16.169)
Epoch: [14][3750/7045]	Time 0.143 (0.248)	Data 0.090 (0.185)	Loss 5.1467 (5.0004)	Prec@1 5.078 (4.743)	Prec@5 15.625 (16.169)
Epoch: [14][3760/7045]	Time 0.150 (0.249)	Data 0.091 (0.185)	Loss 4.9822 (5.0003)	Prec@1 4.688 (4.743)	Prec@5 18.750 (16.170)
Epoch: [14][3770/7045]	Time 0.205 (0.248)	Data 0.152 (0.185)	Loss 4.9495 (5.0002)	Prec@1 3.906 (4.745)	Prec@5 14.844 (16.169)
Epoch: [14][3780/7045]	Time 0.243 (0.248)	Data 0.191 (0.185)	Loss 4.7943 (5.0001)	Prec@1 5.078 (4.746)	Prec@5 19.531 (16.172)
Epoch: [14][3790/7045]	Time 0.323 (0.249)	Data 0.265 (0.185)	Loss 4.9404 (4.9998)	Prec@1 5.078 (4.749)	Prec@5 17.969 (16.175)
Epoch: [14][3800/7045]	Time 0.267 (0.248)	Data 0.216 (0.185)	Loss 4.9849 (4.9997)	Prec@1 5.859 (4.749)	Prec@5 16.406 (16.176)
Epoch: [14][3810/7045]	Time 0.368 (0.249)	Data 0.317 (0.185)	Loss 4.8576 (4.9995)	Prec@1 5.078 (4.749)	Prec@5 21.875 (16.179)
Epoch: [14][3820/7045]	Time 0.128 (0.248)	Data 0.077 (0.185)	Loss 4.8487 (4.9996)	Prec@1 3.125 (4.748)	Prec@5 18.359 (16.180)
Epoch: [14][3830/7045]	Time 0.332 (0.248)	Data 0.281 (0.185)	Loss 5.0679 (4.9995)	Prec@1 1.953 (4.748)	Prec@5 15.234 (16.182)
Epoch: [14][3840/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 4.9456 (4.9995)	Prec@1 2.344 (4.748)	Prec@5 13.281 (16.183)
Epoch: [14][3850/7045]	Time 0.196 (0.248)	Data 0.142 (0.185)	Loss 4.9718 (4.9995)	Prec@1 5.469 (4.747)	Prec@5 18.359 (16.186)
Epoch: [14][3860/7045]	Time 0.247 (0.248)	Data 0.197 (0.185)	Loss 4.8190 (4.9995)	Prec@1 3.906 (4.747)	Prec@5 16.406 (16.184)
Epoch: [14][3870/7045]	Time 0.135 (0.248)	Data 0.084 (0.185)	Loss 5.0064 (4.9995)	Prec@1 5.078 (4.747)	Prec@5 16.016 (16.184)
Epoch: [14][3880/7045]	Time 0.278 (0.248)	Data 0.227 (0.185)	Loss 4.9516 (4.9995)	Prec@1 4.688 (4.747)	Prec@5 16.406 (16.184)
Epoch: [14][3890/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 4.9880 (4.9995)	Prec@1 2.734 (4.748)	Prec@5 15.234 (16.188)
Epoch: [14][3900/7045]	Time 0.362 (0.248)	Data 0.311 (0.185)	Loss 5.0323 (4.9994)	Prec@1 3.516 (4.748)	Prec@5 14.844 (16.191)
Epoch: [14][3910/7045]	Time 0.320 (0.248)	Data 0.269 (0.185)	Loss 4.9091 (4.9994)	Prec@1 5.469 (4.748)	Prec@5 19.141 (16.193)
Epoch: [14][3920/7045]	Time 0.221 (0.248)	Data 0.170 (0.185)	Loss 5.1339 (4.9995)	Prec@1 2.734 (4.746)	Prec@5 10.938 (16.191)
Epoch: [14][3930/7045]	Time 0.328 (0.248)	Data 0.276 (0.185)	Loss 5.2443 (4.9996)	Prec@1 3.516 (4.746)	Prec@5 12.109 (16.190)
Epoch: [14][3940/7045]	Time 0.163 (0.248)	Data 0.112 (0.185)	Loss 5.0227 (4.9997)	Prec@1 3.906 (4.746)	Prec@5 14.062 (16.189)
Epoch: [14][3950/7045]	Time 0.559 (0.248)	Data 0.508 (0.185)	Loss 4.9096 (4.9998)	Prec@1 5.859 (4.744)	Prec@5 17.578 (16.186)
Epoch: [14][3960/7045]	Time 0.109 (0.248)	Data 0.001 (0.185)	Loss 4.8114 (4.9997)	Prec@1 6.250 (4.743)	Prec@5 18.359 (16.188)
Epoch: [14][3970/7045]	Time 0.528 (0.248)	Data 0.478 (0.185)	Loss 4.8603 (4.9996)	Prec@1 5.859 (4.744)	Prec@5 19.531 (16.188)
Epoch: [14][3980/7045]	Time 0.294 (0.248)	Data 0.242 (0.185)	Loss 4.9225 (4.9994)	Prec@1 8.203 (4.747)	Prec@5 20.703 (16.193)
Epoch: [14][3990/7045]	Time 0.435 (0.248)	Data 0.385 (0.185)	Loss 4.9068 (4.9993)	Prec@1 6.250 (4.748)	Prec@5 21.094 (16.196)
Epoch: [14][4000/7045]	Time 0.265 (0.248)	Data 0.214 (0.185)	Loss 4.9103 (4.9994)	Prec@1 5.078 (4.747)	Prec@5 15.234 (16.193)
Epoch: [14][4010/7045]	Time 0.195 (0.248)	Data 0.145 (0.185)	Loss 5.0442 (4.9993)	Prec@1 4.297 (4.748)	Prec@5 15.234 (16.196)
Epoch: [14][4020/7045]	Time 0.269 (0.248)	Data 0.219 (0.185)	Loss 4.9785 (4.9992)	Prec@1 3.516 (4.749)	Prec@5 16.406 (16.197)
Epoch: [14][4030/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 5.0251 (4.9990)	Prec@1 5.469 (4.752)	Prec@5 17.578 (16.200)
Epoch: [14][4040/7045]	Time 0.208 (0.248)	Data 0.157 (0.185)	Loss 4.9798 (4.9991)	Prec@1 4.688 (4.750)	Prec@5 13.672 (16.196)
Epoch: [14][4050/7045]	Time 0.103 (0.248)	Data 0.001 (0.185)	Loss 4.9022 (4.9990)	Prec@1 5.078 (4.752)	Prec@5 19.922 (16.199)
Epoch: [14][4060/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 4.9370 (4.9990)	Prec@1 3.516 (4.754)	Prec@5 15.625 (16.202)
Epoch: [14][4070/7045]	Time 0.101 (0.248)	Data 0.003 (0.185)	Loss 5.1416 (4.9990)	Prec@1 3.906 (4.755)	Prec@5 14.453 (16.202)
Epoch: [14][4080/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 4.9479 (4.9990)	Prec@1 3.125 (4.754)	Prec@5 18.359 (16.203)
Epoch: [14][4090/7045]	Time 0.199 (0.248)	Data 0.148 (0.185)	Loss 4.7960 (4.9988)	Prec@1 5.469 (4.757)	Prec@5 20.312 (16.206)
Epoch: [14][4100/7045]	Time 0.102 (0.248)	Data 0.005 (0.185)	Loss 4.9704 (4.9987)	Prec@1 5.078 (4.758)	Prec@5 17.969 (16.208)
Epoch: [14][4110/7045]	Time 0.187 (0.248)	Data 0.135 (0.185)	Loss 5.1790 (4.9988)	Prec@1 5.859 (4.758)	Prec@5 14.844 (16.205)
Epoch: [14][4120/7045]	Time 0.125 (0.248)	Data 0.072 (0.185)	Loss 5.0975 (4.9988)	Prec@1 3.125 (4.758)	Prec@5 11.328 (16.202)
Epoch: [14][4130/7045]	Time 0.102 (0.248)	Data 0.003 (0.185)	Loss 4.9988 (4.9988)	Prec@1 7.031 (4.759)	Prec@5 17.578 (16.202)
Epoch: [14][4140/7045]	Time 0.102 (0.248)	Data 0.002 (0.185)	Loss 4.8976 (4.9988)	Prec@1 6.250 (4.759)	Prec@5 16.016 (16.199)
Epoch: [14][4150/7045]	Time 0.392 (0.248)	Data 0.341 (0.185)	Loss 4.9971 (4.9988)	Prec@1 6.250 (4.758)	Prec@5 15.234 (16.197)
Epoch: [14][4160/7045]	Time 0.102 (0.248)	Data 0.050 (0.185)	Loss 4.9194 (4.9987)	Prec@1 4.297 (4.760)	Prec@5 14.453 (16.199)
Epoch: [14][4170/7045]	Time 0.610 (0.248)	Data 0.558 (0.185)	Loss 4.9755 (4.9987)	Prec@1 4.297 (4.760)	Prec@5 15.625 (16.198)
Epoch: [14][4180/7045]	Time 0.104 (0.248)	Data 0.052 (0.185)	Loss 4.9618 (4.9987)	Prec@1 7.031 (4.761)	Prec@5 17.188 (16.201)
Epoch: [14][4190/7045]	Time 0.372 (0.248)	Data 0.319 (0.185)	Loss 5.0992 (4.9988)	Prec@1 2.734 (4.760)	Prec@5 13.281 (16.198)
Epoch: [14][4200/7045]	Time 0.102 (0.248)	Data 0.002 (0.185)	Loss 5.0487 (4.9989)	Prec@1 6.250 (4.762)	Prec@5 15.625 (16.196)
Epoch: [14][4210/7045]	Time 0.249 (0.248)	Data 0.190 (0.185)	Loss 4.8368 (4.9987)	Prec@1 5.859 (4.763)	Prec@5 19.531 (16.198)
Epoch: [14][4220/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 4.9460 (4.9986)	Prec@1 3.516 (4.764)	Prec@5 15.234 (16.198)
Epoch: [14][4230/7045]	Time 0.122 (0.248)	Data 0.071 (0.185)	Loss 5.0061 (4.9988)	Prec@1 4.297 (4.764)	Prec@5 17.188 (16.196)
Epoch: [14][4240/7045]	Time 0.101 (0.248)	Data 0.006 (0.185)	Loss 4.8720 (4.9988)	Prec@1 5.859 (4.764)	Prec@5 16.406 (16.196)
Epoch: [14][4250/7045]	Time 0.101 (0.248)	Data 0.006 (0.185)	Loss 5.0918 (4.9988)	Prec@1 2.734 (4.762)	Prec@5 12.500 (16.195)
Epoch: [14][4260/7045]	Time 0.153 (0.248)	Data 0.102 (0.185)	Loss 5.1756 (4.9989)	Prec@1 3.906 (4.762)	Prec@5 14.062 (16.196)
Epoch: [14][4270/7045]	Time 0.108 (0.248)	Data 0.055 (0.185)	Loss 4.9646 (4.9989)	Prec@1 4.297 (4.760)	Prec@5 17.188 (16.195)
Epoch: [14][4280/7045]	Time 0.146 (0.248)	Data 0.095 (0.185)	Loss 4.9241 (4.9989)	Prec@1 5.469 (4.759)	Prec@5 18.750 (16.195)
Epoch: [14][4290/7045]	Time 0.294 (0.248)	Data 0.243 (0.185)	Loss 4.7963 (4.9988)	Prec@1 5.078 (4.761)	Prec@5 18.750 (16.200)
Epoch: [14][4300/7045]	Time 0.109 (0.248)	Data 0.058 (0.185)	Loss 4.8199 (4.9988)	Prec@1 4.688 (4.760)	Prec@5 19.141 (16.202)
Epoch: [14][4310/7045]	Time 0.308 (0.248)	Data 0.257 (0.185)	Loss 5.1503 (4.9987)	Prec@1 3.906 (4.761)	Prec@5 14.844 (16.203)
Epoch: [14][4320/7045]	Time 0.391 (0.248)	Data 0.340 (0.185)	Loss 5.0130 (4.9987)	Prec@1 4.688 (4.761)	Prec@5 16.797 (16.203)
Epoch: [14][4330/7045]	Time 0.230 (0.248)	Data 0.173 (0.185)	Loss 4.9758 (4.9987)	Prec@1 7.031 (4.761)	Prec@5 16.797 (16.203)
Epoch: [14][4340/7045]	Time 0.763 (0.248)	Data 0.706 (0.185)	Loss 5.1597 (4.9986)	Prec@1 3.906 (4.763)	Prec@5 16.406 (16.206)
Epoch: [14][4350/7045]	Time 0.099 (0.248)	Data 0.001 (0.185)	Loss 5.1267 (4.9987)	Prec@1 3.906 (4.762)	Prec@5 14.844 (16.205)
Epoch: [14][4360/7045]	Time 0.668 (0.248)	Data 0.617 (0.185)	Loss 4.9136 (4.9988)	Prec@1 5.078 (4.762)	Prec@5 16.797 (16.204)
Epoch: [14][4370/7045]	Time 0.176 (0.248)	Data 0.124 (0.185)	Loss 4.9295 (4.9987)	Prec@1 5.078 (4.762)	Prec@5 18.359 (16.206)
Epoch: [14][4380/7045]	Time 0.542 (0.248)	Data 0.491 (0.185)	Loss 4.8587 (4.9986)	Prec@1 5.078 (4.764)	Prec@5 17.578 (16.207)
Epoch: [14][4390/7045]	Time 0.102 (0.248)	Data 0.002 (0.185)	Loss 4.9263 (4.9984)	Prec@1 5.469 (4.765)	Prec@5 17.188 (16.211)
Epoch: [14][4400/7045]	Time 0.361 (0.248)	Data 0.310 (0.185)	Loss 4.9755 (4.9982)	Prec@1 3.516 (4.765)	Prec@5 16.016 (16.214)
Epoch: [14][4410/7045]	Time 0.101 (0.248)	Data 0.002 (0.185)	Loss 5.0338 (4.9982)	Prec@1 3.516 (4.766)	Prec@5 12.891 (16.213)
Epoch: [14][4420/7045]	Time 0.107 (0.248)	Data 0.055 (0.185)	Loss 4.6987 (4.9981)	Prec@1 6.250 (4.767)	Prec@5 25.391 (16.216)
Epoch: [14][4430/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 5.0743 (4.9981)	Prec@1 4.688 (4.768)	Prec@5 17.188 (16.217)
Epoch: [14][4440/7045]	Time 0.268 (0.248)	Data 0.217 (0.185)	Loss 5.0367 (4.9981)	Prec@1 5.859 (4.768)	Prec@5 19.531 (16.217)
Epoch: [14][4450/7045]	Time 0.208 (0.248)	Data 0.156 (0.185)	Loss 5.0222 (4.9982)	Prec@1 4.688 (4.769)	Prec@5 17.188 (16.219)
Epoch: [14][4460/7045]	Time 0.178 (0.248)	Data 0.126 (0.185)	Loss 5.0928 (4.9982)	Prec@1 2.344 (4.769)	Prec@5 12.500 (16.216)
Epoch: [14][4470/7045]	Time 0.142 (0.248)	Data 0.091 (0.185)	Loss 5.0918 (4.9982)	Prec@1 6.641 (4.769)	Prec@5 13.672 (16.214)
Epoch: [14][4480/7045]	Time 0.132 (0.248)	Data 0.081 (0.185)	Loss 4.9683 (4.9983)	Prec@1 4.297 (4.768)	Prec@5 16.797 (16.213)
Epoch: [14][4490/7045]	Time 0.107 (0.248)	Data 0.004 (0.185)	Loss 5.0045 (4.9984)	Prec@1 3.516 (4.767)	Prec@5 17.578 (16.212)
Epoch: [14][4500/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 4.8787 (4.9983)	Prec@1 6.250 (4.769)	Prec@5 16.406 (16.213)
Epoch: [14][4510/7045]	Time 0.232 (0.248)	Data 0.181 (0.185)	Loss 5.0664 (4.9982)	Prec@1 3.516 (4.769)	Prec@5 17.188 (16.215)
Epoch: [14][4520/7045]	Time 0.126 (0.248)	Data 0.074 (0.185)	Loss 5.0525 (4.9983)	Prec@1 5.078 (4.770)	Prec@5 17.578 (16.214)
Epoch: [14][4530/7045]	Time 0.291 (0.248)	Data 0.240 (0.185)	Loss 4.9437 (4.9983)	Prec@1 5.469 (4.770)	Prec@5 17.969 (16.213)
Epoch: [14][4540/7045]	Time 0.155 (0.248)	Data 0.103 (0.185)	Loss 5.0176 (4.9983)	Prec@1 5.078 (4.772)	Prec@5 13.281 (16.215)
Epoch: [14][4550/7045]	Time 0.208 (0.248)	Data 0.156 (0.185)	Loss 5.0824 (4.9984)	Prec@1 3.125 (4.771)	Prec@5 12.109 (16.214)
Epoch: [14][4560/7045]	Time 0.150 (0.248)	Data 0.093 (0.185)	Loss 5.0229 (4.9983)	Prec@1 4.297 (4.771)	Prec@5 17.188 (16.213)
Epoch: [14][4570/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 4.9362 (4.9984)	Prec@1 6.641 (4.772)	Prec@5 16.797 (16.215)
Epoch: [14][4580/7045]	Time 0.143 (0.248)	Data 0.091 (0.185)	Loss 4.9580 (4.9985)	Prec@1 4.688 (4.771)	Prec@5 17.969 (16.213)
Epoch: [14][4590/7045]	Time 0.216 (0.248)	Data 0.166 (0.185)	Loss 4.9636 (4.9986)	Prec@1 5.078 (4.770)	Prec@5 17.969 (16.213)
Epoch: [14][4600/7045]	Time 0.134 (0.248)	Data 0.084 (0.185)	Loss 5.0749 (4.9986)	Prec@1 3.906 (4.772)	Prec@5 14.453 (16.214)
Epoch: [14][4610/7045]	Time 0.421 (0.248)	Data 0.363 (0.185)	Loss 4.8318 (4.9986)	Prec@1 6.641 (4.773)	Prec@5 19.922 (16.215)
Epoch: [14][4620/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 4.9544 (4.9986)	Prec@1 5.469 (4.774)	Prec@5 16.797 (16.214)
Epoch: [14][4630/7045]	Time 0.544 (0.248)	Data 0.486 (0.185)	Loss 5.1973 (4.9986)	Prec@1 5.469 (4.774)	Prec@5 15.234 (16.215)
Epoch: [14][4640/7045]	Time 0.132 (0.248)	Data 0.081 (0.185)	Loss 5.0913 (4.9987)	Prec@1 5.859 (4.775)	Prec@5 16.406 (16.214)
Epoch: [14][4650/7045]	Time 0.286 (0.248)	Data 0.235 (0.185)	Loss 4.9714 (4.9988)	Prec@1 4.688 (4.774)	Prec@5 14.844 (16.214)
Epoch: [14][4660/7045]	Time 0.165 (0.248)	Data 0.114 (0.185)	Loss 4.9797 (4.9989)	Prec@1 6.641 (4.773)	Prec@5 17.188 (16.213)
Epoch: [14][4670/7045]	Time 0.212 (0.248)	Data 0.161 (0.185)	Loss 5.0407 (4.9989)	Prec@1 6.250 (4.774)	Prec@5 14.844 (16.214)
Epoch: [14][4680/7045]	Time 0.247 (0.248)	Data 0.198 (0.185)	Loss 4.9067 (4.9988)	Prec@1 4.688 (4.776)	Prec@5 15.625 (16.214)
Epoch: [14][4690/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 5.0952 (4.9988)	Prec@1 1.562 (4.777)	Prec@5 14.844 (16.217)
Epoch: [14][4700/7045]	Time 0.425 (0.248)	Data 0.373 (0.185)	Loss 5.0415 (4.9988)	Prec@1 5.078 (4.777)	Prec@5 13.672 (16.216)
Epoch: [14][4710/7045]	Time 0.163 (0.248)	Data 0.111 (0.185)	Loss 4.9823 (4.9987)	Prec@1 5.078 (4.777)	Prec@5 15.625 (16.218)
Epoch: [14][4720/7045]	Time 0.441 (0.248)	Data 0.391 (0.185)	Loss 4.9439 (4.9986)	Prec@1 4.297 (4.779)	Prec@5 16.797 (16.220)
Epoch: [14][4730/7045]	Time 0.108 (0.248)	Data 0.046 (0.185)	Loss 4.9153 (4.9985)	Prec@1 5.469 (4.779)	Prec@5 18.359 (16.221)
Epoch: [14][4740/7045]	Time 0.295 (0.248)	Data 0.243 (0.185)	Loss 5.1531 (4.9986)	Prec@1 5.078 (4.779)	Prec@5 12.891 (16.219)
Epoch: [14][4750/7045]	Time 0.162 (0.248)	Data 0.111 (0.185)	Loss 5.1260 (4.9987)	Prec@1 4.688 (4.779)	Prec@5 15.234 (16.219)
Epoch: [14][4760/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 5.0515 (4.9988)	Prec@1 5.469 (4.778)	Prec@5 17.188 (16.219)
Epoch: [14][4770/7045]	Time 0.414 (0.248)	Data 0.361 (0.185)	Loss 5.0015 (4.9988)	Prec@1 5.859 (4.776)	Prec@5 15.625 (16.218)
Epoch: [14][4780/7045]	Time 0.240 (0.248)	Data 0.183 (0.185)	Loss 5.0139 (4.9988)	Prec@1 4.688 (4.775)	Prec@5 16.406 (16.221)
Epoch: [14][4790/7045]	Time 0.430 (0.248)	Data 0.373 (0.185)	Loss 5.0908 (4.9989)	Prec@1 3.516 (4.774)	Prec@5 12.891 (16.219)
Epoch: [14][4800/7045]	Time 0.452 (0.248)	Data 0.402 (0.185)	Loss 4.9634 (4.9989)	Prec@1 3.906 (4.774)	Prec@5 15.625 (16.220)
Epoch: [14][4810/7045]	Time 0.191 (0.248)	Data 0.140 (0.185)	Loss 5.1281 (4.9990)	Prec@1 3.125 (4.774)	Prec@5 14.453 (16.217)
Epoch: [14][4820/7045]	Time 0.299 (0.248)	Data 0.248 (0.185)	Loss 5.2477 (4.9991)	Prec@1 3.125 (4.774)	Prec@5 10.938 (16.218)
Epoch: [14][4830/7045]	Time 0.102 (0.248)	Data 0.004 (0.185)	Loss 5.1287 (4.9992)	Prec@1 3.516 (4.774)	Prec@5 12.891 (16.216)
Epoch: [14][4840/7045]	Time 0.101 (0.248)	Data 0.049 (0.185)	Loss 5.0325 (4.9992)	Prec@1 3.906 (4.774)	Prec@5 16.797 (16.215)
Epoch: [14][4850/7045]	Time 0.155 (0.248)	Data 0.105 (0.185)	Loss 5.0838 (4.9992)	Prec@1 5.078 (4.774)	Prec@5 14.062 (16.214)
Epoch: [14][4860/7045]	Time 0.197 (0.248)	Data 0.146 (0.185)	Loss 4.9567 (4.9993)	Prec@1 6.250 (4.774)	Prec@5 18.750 (16.211)
Epoch: [14][4870/7045]	Time 0.249 (0.248)	Data 0.199 (0.185)	Loss 5.1693 (4.9993)	Prec@1 6.641 (4.774)	Prec@5 17.578 (16.209)
Epoch: [14][4880/7045]	Time 0.240 (0.248)	Data 0.181 (0.185)	Loss 4.9756 (4.9994)	Prec@1 3.906 (4.773)	Prec@5 15.234 (16.207)
Epoch: [14][4890/7045]	Time 0.437 (0.248)	Data 0.386 (0.185)	Loss 5.2280 (4.9996)	Prec@1 2.344 (4.772)	Prec@5 13.672 (16.206)
Epoch: [14][4900/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 4.9353 (4.9994)	Prec@1 4.688 (4.773)	Prec@5 16.797 (16.207)
Epoch: [14][4910/7045]	Time 0.621 (0.248)	Data 0.565 (0.185)	Loss 4.9752 (4.9994)	Prec@1 4.688 (4.772)	Prec@5 14.453 (16.209)
Epoch: [14][4920/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 4.9847 (4.9994)	Prec@1 4.688 (4.773)	Prec@5 17.578 (16.209)
Epoch: [14][4930/7045]	Time 0.619 (0.248)	Data 0.561 (0.185)	Loss 4.8302 (4.9993)	Prec@1 5.859 (4.773)	Prec@5 21.484 (16.210)
Epoch: [14][4940/7045]	Time 0.113 (0.248)	Data 0.061 (0.185)	Loss 5.1141 (4.9992)	Prec@1 3.906 (4.772)	Prec@5 13.281 (16.212)
Epoch: [14][4950/7045]	Time 0.312 (0.248)	Data 0.252 (0.185)	Loss 4.9666 (4.9991)	Prec@1 4.688 (4.772)	Prec@5 18.359 (16.213)
Epoch: [14][4960/7045]	Time 0.112 (0.248)	Data 0.061 (0.185)	Loss 4.9561 (4.9992)	Prec@1 4.688 (4.770)	Prec@5 15.625 (16.210)
Epoch: [14][4970/7045]	Time 0.106 (0.248)	Data 0.001 (0.185)	Loss 4.9484 (4.9992)	Prec@1 3.516 (4.770)	Prec@5 14.844 (16.210)
Epoch: [14][4980/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 4.9596 (4.9993)	Prec@1 6.250 (4.769)	Prec@5 16.406 (16.207)
Epoch: [14][4990/7045]	Time 0.108 (0.248)	Data 0.001 (0.185)	Loss 4.9493 (4.9993)	Prec@1 6.641 (4.768)	Prec@5 17.188 (16.208)
Epoch: [14][5000/7045]	Time 0.176 (0.248)	Data 0.125 (0.185)	Loss 4.9677 (4.9993)	Prec@1 5.078 (4.771)	Prec@5 16.016 (16.207)
Epoch: [14][5010/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 4.9521 (4.9994)	Prec@1 4.688 (4.770)	Prec@5 18.359 (16.207)
Epoch: [14][5020/7045]	Time 0.459 (0.248)	Data 0.408 (0.185)	Loss 5.0084 (4.9993)	Prec@1 5.078 (4.770)	Prec@5 14.453 (16.210)
Epoch: [14][5030/7045]	Time 0.123 (0.248)	Data 0.066 (0.185)	Loss 5.0071 (4.9992)	Prec@1 5.078 (4.771)	Prec@5 16.016 (16.211)
Epoch: [14][5040/7045]	Time 0.669 (0.248)	Data 0.619 (0.185)	Loss 4.9955 (4.9993)	Prec@1 3.906 (4.770)	Prec@5 16.406 (16.210)
Epoch: [14][5050/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 4.9076 (4.9993)	Prec@1 5.859 (4.769)	Prec@5 17.578 (16.211)
Epoch: [14][5060/7045]	Time 0.374 (0.248)	Data 0.323 (0.185)	Loss 4.9948 (4.9994)	Prec@1 3.125 (4.769)	Prec@5 15.625 (16.209)
Epoch: [14][5070/7045]	Time 0.239 (0.248)	Data 0.188 (0.185)	Loss 5.0420 (4.9994)	Prec@1 3.906 (4.770)	Prec@5 14.844 (16.211)
Epoch: [14][5080/7045]	Time 0.247 (0.248)	Data 0.196 (0.185)	Loss 4.8805 (4.9992)	Prec@1 5.469 (4.771)	Prec@5 17.578 (16.214)
Epoch: [14][5090/7045]	Time 0.504 (0.248)	Data 0.453 (0.185)	Loss 5.0283 (4.9991)	Prec@1 5.078 (4.771)	Prec@5 16.797 (16.216)
Epoch: [14][5100/7045]	Time 0.101 (0.248)	Data 0.004 (0.185)	Loss 5.0793 (4.9990)	Prec@1 5.859 (4.771)	Prec@5 15.234 (16.217)
Epoch: [14][5110/7045]	Time 0.715 (0.248)	Data 0.663 (0.185)	Loss 5.1000 (4.9989)	Prec@1 4.297 (4.772)	Prec@5 12.891 (16.218)
Epoch: [14][5120/7045]	Time 0.161 (0.248)	Data 0.110 (0.185)	Loss 5.1555 (4.9990)	Prec@1 2.734 (4.771)	Prec@5 12.500 (16.215)
Epoch: [14][5130/7045]	Time 0.802 (0.248)	Data 0.751 (0.185)	Loss 5.0501 (4.9991)	Prec@1 3.516 (4.769)	Prec@5 14.844 (16.214)
Epoch: [14][5140/7045]	Time 0.167 (0.248)	Data 0.117 (0.185)	Loss 5.0246 (4.9993)	Prec@1 5.859 (4.768)	Prec@5 17.578 (16.212)
Epoch: [14][5150/7045]	Time 0.445 (0.248)	Data 0.392 (0.185)	Loss 5.0673 (4.9993)	Prec@1 3.516 (4.768)	Prec@5 12.891 (16.211)
Epoch: [14][5160/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 5.0524 (4.9992)	Prec@1 3.906 (4.768)	Prec@5 15.234 (16.212)
Epoch: [14][5170/7045]	Time 0.500 (0.248)	Data 0.449 (0.185)	Loss 4.9149 (4.9993)	Prec@1 4.297 (4.768)	Prec@5 17.578 (16.210)
Epoch: [14][5180/7045]	Time 0.309 (0.248)	Data 0.258 (0.185)	Loss 4.7714 (4.9992)	Prec@1 8.984 (4.770)	Prec@5 19.922 (16.215)
Epoch: [14][5190/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 4.8973 (4.9991)	Prec@1 3.516 (4.769)	Prec@5 16.797 (16.216)
Epoch: [14][5200/7045]	Time 0.119 (0.248)	Data 0.066 (0.185)	Loss 4.9591 (4.9990)	Prec@1 4.688 (4.769)	Prec@5 17.188 (16.215)
Epoch: [14][5210/7045]	Time 0.156 (0.248)	Data 0.103 (0.185)	Loss 4.9110 (4.9989)	Prec@1 5.859 (4.771)	Prec@5 24.219 (16.218)
Epoch: [14][5220/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 5.0121 (4.9989)	Prec@1 4.297 (4.771)	Prec@5 16.797 (16.219)
Epoch: [14][5230/7045]	Time 0.109 (0.248)	Data 0.056 (0.185)	Loss 5.0521 (4.9989)	Prec@1 4.688 (4.771)	Prec@5 16.406 (16.216)
Epoch: [14][5240/7045]	Time 0.101 (0.248)	Data 0.046 (0.185)	Loss 5.3010 (4.9989)	Prec@1 3.906 (4.771)	Prec@5 11.719 (16.216)
Epoch: [14][5250/7045]	Time 0.103 (0.248)	Data 0.003 (0.185)	Loss 4.9544 (4.9989)	Prec@1 1.953 (4.770)	Prec@5 15.625 (16.216)
Epoch: [14][5260/7045]	Time 0.108 (0.248)	Data 0.055 (0.185)	Loss 5.1209 (4.9989)	Prec@1 3.906 (4.770)	Prec@5 11.719 (16.214)
Epoch: [14][5270/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 5.0302 (4.9991)	Prec@1 5.078 (4.769)	Prec@5 16.797 (16.211)
Epoch: [14][5280/7045]	Time 0.248 (0.248)	Data 0.197 (0.185)	Loss 5.0848 (4.9991)	Prec@1 3.516 (4.769)	Prec@5 16.016 (16.211)
Epoch: [14][5290/7045]	Time 0.100 (0.248)	Data 0.002 (0.185)	Loss 4.9810 (4.9991)	Prec@1 8.203 (4.769)	Prec@5 22.656 (16.212)
Epoch: [14][5300/7045]	Time 0.241 (0.248)	Data 0.190 (0.185)	Loss 5.1465 (4.9990)	Prec@1 2.344 (4.769)	Prec@5 14.453 (16.214)
Epoch: [14][5310/7045]	Time 0.108 (0.248)	Data 0.001 (0.185)	Loss 5.0917 (4.9991)	Prec@1 4.297 (4.768)	Prec@5 16.016 (16.214)
Epoch: [14][5320/7045]	Time 0.103 (0.248)	Data 0.051 (0.185)	Loss 5.2094 (4.9992)	Prec@1 5.078 (4.768)	Prec@5 13.672 (16.213)
Epoch: [14][5330/7045]	Time 0.235 (0.248)	Data 0.182 (0.185)	Loss 4.9665 (4.9992)	Prec@1 4.688 (4.767)	Prec@5 15.625 (16.211)
Epoch: [14][5340/7045]	Time 0.570 (0.248)	Data 0.518 (0.185)	Loss 5.0493 (4.9993)	Prec@1 3.516 (4.766)	Prec@5 13.281 (16.208)
Epoch: [14][5350/7045]	Time 0.113 (0.248)	Data 0.055 (0.185)	Loss 4.9030 (4.9993)	Prec@1 4.688 (4.766)	Prec@5 18.359 (16.209)
Epoch: [14][5360/7045]	Time 0.421 (0.248)	Data 0.370 (0.185)	Loss 5.0481 (4.9992)	Prec@1 4.297 (4.765)	Prec@5 18.359 (16.211)
Epoch: [14][5370/7045]	Time 0.103 (0.248)	Data 0.001 (0.185)	Loss 5.0940 (4.9992)	Prec@1 3.906 (4.764)	Prec@5 14.062 (16.211)
Epoch: [14][5380/7045]	Time 0.100 (0.248)	Data 0.046 (0.185)	Loss 5.0239 (4.9993)	Prec@1 7.031 (4.763)	Prec@5 17.578 (16.208)
Epoch: [14][5390/7045]	Time 0.208 (0.248)	Data 0.156 (0.185)	Loss 4.9888 (4.9992)	Prec@1 5.469 (4.763)	Prec@5 16.797 (16.210)
Epoch: [14][5400/7045]	Time 0.104 (0.248)	Data 0.052 (0.185)	Loss 5.1118 (4.9992)	Prec@1 2.734 (4.762)	Prec@5 16.016 (16.210)
Epoch: [14][5410/7045]	Time 0.147 (0.248)	Data 0.097 (0.185)	Loss 5.1321 (4.9994)	Prec@1 2.734 (4.762)	Prec@5 13.281 (16.207)
Epoch: [14][5420/7045]	Time 0.101 (0.248)	Data 0.001 (0.184)	Loss 5.1015 (4.9994)	Prec@1 2.734 (4.761)	Prec@5 16.016 (16.207)
Epoch: [14][5430/7045]	Time 0.131 (0.248)	Data 0.080 (0.184)	Loss 4.9672 (4.9994)	Prec@1 5.859 (4.762)	Prec@5 16.406 (16.208)
Epoch: [14][5440/7045]	Time 0.102 (0.248)	Data 0.004 (0.184)	Loss 4.9185 (4.9994)	Prec@1 4.297 (4.762)	Prec@5 17.188 (16.207)
Epoch: [14][5450/7045]	Time 0.097 (0.248)	Data 0.043 (0.184)	Loss 5.2129 (4.9995)	Prec@1 3.906 (4.763)	Prec@5 14.062 (16.205)
Epoch: [14][5460/7045]	Time 0.101 (0.248)	Data 0.003 (0.184)	Loss 5.0706 (4.9995)	Prec@1 4.297 (4.763)	Prec@5 15.234 (16.206)
Epoch: [14][5470/7045]	Time 0.121 (0.248)	Data 0.069 (0.184)	Loss 5.0248 (4.9996)	Prec@1 3.516 (4.762)	Prec@5 17.188 (16.204)
Epoch: [14][5480/7045]	Time 0.102 (0.248)	Data 0.002 (0.184)	Loss 5.0210 (4.9996)	Prec@1 8.203 (4.762)	Prec@5 18.750 (16.205)
Epoch: [14][5490/7045]	Time 0.217 (0.248)	Data 0.158 (0.184)	Loss 5.0392 (4.9996)	Prec@1 3.125 (4.762)	Prec@5 16.406 (16.206)
Epoch: [14][5500/7045]	Time 0.126 (0.248)	Data 0.074 (0.184)	Loss 5.1007 (4.9996)	Prec@1 5.859 (4.761)	Prec@5 15.625 (16.208)
Epoch: [14][5510/7045]	Time 0.245 (0.248)	Data 0.188 (0.184)	Loss 5.0023 (4.9995)	Prec@1 4.297 (4.762)	Prec@5 18.750 (16.211)
Epoch: [14][5520/7045]	Time 0.102 (0.248)	Data 0.002 (0.184)	Loss 5.0915 (4.9995)	Prec@1 3.906 (4.762)	Prec@5 14.062 (16.211)
Epoch: [14][5530/7045]	Time 0.212 (0.248)	Data 0.154 (0.184)	Loss 4.9576 (4.9995)	Prec@1 4.297 (4.762)	Prec@5 16.016 (16.211)
Epoch: [14][5540/7045]	Time 0.152 (0.248)	Data 0.101 (0.184)	Loss 5.0037 (4.9996)	Prec@1 5.469 (4.761)	Prec@5 17.969 (16.211)
Epoch: [14][5550/7045]	Time 0.102 (0.248)	Data 0.048 (0.184)	Loss 5.0032 (4.9997)	Prec@1 4.297 (4.761)	Prec@5 17.188 (16.211)
Epoch: [14][5560/7045]	Time 0.237 (0.248)	Data 0.187 (0.184)	Loss 5.1888 (4.9997)	Prec@1 3.906 (4.762)	Prec@5 10.938 (16.211)
Epoch: [14][5570/7045]	Time 0.103 (0.248)	Data 0.001 (0.184)	Loss 5.1598 (4.9999)	Prec@1 4.688 (4.763)	Prec@5 14.453 (16.209)
Epoch: [14][5580/7045]	Time 0.438 (0.248)	Data 0.387 (0.184)	Loss 4.9858 (4.9998)	Prec@1 5.859 (4.763)	Prec@5 17.969 (16.211)
Epoch: [14][5590/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 4.9594 (4.9998)	Prec@1 4.688 (4.762)	Prec@5 16.016 (16.209)
Epoch: [14][5600/7045]	Time 0.676 (0.248)	Data 0.624 (0.184)	Loss 4.8148 (4.9997)	Prec@1 4.688 (4.762)	Prec@5 16.406 (16.211)
Epoch: [14][5610/7045]	Time 0.123 (0.248)	Data 0.071 (0.184)	Loss 5.0412 (4.9997)	Prec@1 5.078 (4.763)	Prec@5 16.797 (16.210)
Epoch: [14][5620/7045]	Time 0.510 (0.248)	Data 0.451 (0.184)	Loss 4.9692 (4.9997)	Prec@1 5.859 (4.764)	Prec@5 16.797 (16.210)
Epoch: [14][5630/7045]	Time 0.296 (0.248)	Data 0.246 (0.184)	Loss 4.9673 (4.9996)	Prec@1 7.422 (4.765)	Prec@5 16.406 (16.212)
Epoch: [14][5640/7045]	Time 0.525 (0.248)	Data 0.473 (0.184)	Loss 4.9149 (4.9995)	Prec@1 5.469 (4.766)	Prec@5 19.141 (16.214)
Epoch: [14][5650/7045]	Time 0.101 (0.248)	Data 0.001 (0.184)	Loss 4.9349 (4.9993)	Prec@1 4.688 (4.766)	Prec@5 17.188 (16.216)
Epoch: [14][5660/7045]	Time 0.431 (0.248)	Data 0.381 (0.184)	Loss 4.9182 (4.9993)	Prec@1 5.469 (4.767)	Prec@5 18.750 (16.217)
Epoch: [14][5670/7045]	Time 0.112 (0.248)	Data 0.060 (0.184)	Loss 5.0568 (4.9992)	Prec@1 3.516 (4.768)	Prec@5 13.672 (16.220)
Epoch: [14][5680/7045]	Time 0.231 (0.248)	Data 0.180 (0.184)	Loss 4.9390 (4.9992)	Prec@1 5.469 (4.768)	Prec@5 15.234 (16.219)
Epoch: [14][5690/7045]	Time 0.304 (0.248)	Data 0.253 (0.184)	Loss 5.0427 (4.9992)	Prec@1 6.250 (4.769)	Prec@5 14.844 (16.221)
Epoch: [14][5700/7045]	Time 0.120 (0.248)	Data 0.070 (0.184)	Loss 4.9562 (4.9992)	Prec@1 3.516 (4.770)	Prec@5 18.359 (16.222)
Epoch: [14][5710/7045]	Time 0.319 (0.248)	Data 0.268 (0.184)	Loss 5.1184 (4.9992)	Prec@1 2.734 (4.769)	Prec@5 13.672 (16.221)
Epoch: [14][5720/7045]	Time 0.257 (0.248)	Data 0.205 (0.184)	Loss 5.0597 (4.9993)	Prec@1 3.906 (4.769)	Prec@5 12.891 (16.219)
Epoch: [14][5730/7045]	Time 0.172 (0.248)	Data 0.121 (0.184)	Loss 5.0931 (4.9995)	Prec@1 3.906 (4.768)	Prec@5 14.062 (16.214)
Epoch: [14][5740/7045]	Time 0.461 (0.248)	Data 0.411 (0.184)	Loss 5.0027 (4.9996)	Prec@1 5.078 (4.768)	Prec@5 16.797 (16.213)
Epoch: [14][5750/7045]	Time 0.101 (0.248)	Data 0.001 (0.184)	Loss 4.9732 (4.9995)	Prec@1 5.078 (4.768)	Prec@5 17.578 (16.213)
Epoch: [14][5760/7045]	Time 0.100 (0.248)	Data 0.001 (0.184)	Loss 5.1899 (4.9997)	Prec@1 6.250 (4.769)	Prec@5 14.844 (16.213)
Epoch: [14][5770/7045]	Time 0.143 (0.248)	Data 0.093 (0.184)	Loss 4.9738 (4.9998)	Prec@1 5.078 (4.769)	Prec@5 17.969 (16.211)
Epoch: [14][5780/7045]	Time 0.260 (0.248)	Data 0.207 (0.184)	Loss 5.0597 (4.9998)	Prec@1 4.297 (4.769)	Prec@5 15.625 (16.210)
Epoch: [14][5790/7045]	Time 0.122 (0.248)	Data 0.070 (0.184)	Loss 4.9066 (4.9998)	Prec@1 7.031 (4.769)	Prec@5 17.969 (16.210)
Epoch: [14][5800/7045]	Time 0.102 (0.248)	Data 0.050 (0.184)	Loss 4.9576 (4.9998)	Prec@1 4.688 (4.769)	Prec@5 16.406 (16.210)
Epoch: [14][5810/7045]	Time 0.180 (0.248)	Data 0.128 (0.184)	Loss 4.9654 (4.9998)	Prec@1 4.297 (4.770)	Prec@5 14.844 (16.210)
Epoch: [14][5820/7045]	Time 0.108 (0.248)	Data 0.055 (0.184)	Loss 4.9514 (4.9998)	Prec@1 4.688 (4.769)	Prec@5 16.797 (16.208)
Epoch: [14][5830/7045]	Time 0.101 (0.248)	Data 0.049 (0.184)	Loss 5.1037 (4.9999)	Prec@1 4.688 (4.768)	Prec@5 14.844 (16.206)
Epoch: [14][5840/7045]	Time 0.133 (0.248)	Data 0.082 (0.184)	Loss 5.1048 (4.9999)	Prec@1 3.906 (4.768)	Prec@5 14.453 (16.205)
Epoch: [14][5850/7045]	Time 0.177 (0.248)	Data 0.125 (0.184)	Loss 4.9942 (5.0000)	Prec@1 5.078 (4.767)	Prec@5 17.969 (16.205)
Epoch: [14][5860/7045]	Time 0.414 (0.248)	Data 0.363 (0.184)	Loss 5.0527 (4.9999)	Prec@1 4.688 (4.767)	Prec@5 19.141 (16.207)
Epoch: [14][5870/7045]	Time 0.123 (0.248)	Data 0.072 (0.184)	Loss 5.0898 (4.9999)	Prec@1 5.078 (4.766)	Prec@5 16.406 (16.206)
Epoch: [14][5880/7045]	Time 0.458 (0.248)	Data 0.407 (0.184)	Loss 4.8285 (4.9998)	Prec@1 5.469 (4.768)	Prec@5 18.359 (16.210)
Epoch: [14][5890/7045]	Time 0.204 (0.248)	Data 0.153 (0.184)	Loss 4.9772 (4.9998)	Prec@1 3.906 (4.768)	Prec@5 14.844 (16.212)
Epoch: [14][5900/7045]	Time 0.428 (0.248)	Data 0.377 (0.184)	Loss 4.9274 (4.9997)	Prec@1 6.641 (4.768)	Prec@5 16.797 (16.212)
Epoch: [14][5910/7045]	Time 0.338 (0.248)	Data 0.280 (0.184)	Loss 4.9181 (4.9998)	Prec@1 5.859 (4.768)	Prec@5 18.359 (16.213)
Epoch: [14][5920/7045]	Time 0.162 (0.248)	Data 0.109 (0.184)	Loss 5.1439 (5.0000)	Prec@1 5.859 (4.766)	Prec@5 13.672 (16.209)
Epoch: [14][5930/7045]	Time 0.482 (0.248)	Data 0.430 (0.185)	Loss 4.9796 (5.0000)	Prec@1 4.688 (4.766)	Prec@5 18.359 (16.210)
Epoch: [14][5940/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 4.9802 (4.9999)	Prec@1 2.734 (4.766)	Prec@5 12.891 (16.209)
Epoch: [14][5950/7045]	Time 0.590 (0.248)	Data 0.540 (0.185)	Loss 4.9814 (5.0000)	Prec@1 4.688 (4.766)	Prec@5 17.188 (16.208)
Epoch: [14][5960/7045]	Time 0.101 (0.248)	Data 0.001 (0.184)	Loss 4.9631 (5.0000)	Prec@1 3.906 (4.766)	Prec@5 13.672 (16.208)
Epoch: [14][5970/7045]	Time 0.628 (0.248)	Data 0.576 (0.184)	Loss 5.1258 (5.0001)	Prec@1 3.125 (4.765)	Prec@5 10.938 (16.206)
Epoch: [14][5980/7045]	Time 0.118 (0.248)	Data 0.059 (0.184)	Loss 5.0543 (5.0002)	Prec@1 5.859 (4.765)	Prec@5 15.625 (16.203)
Epoch: [14][5990/7045]	Time 0.483 (0.248)	Data 0.430 (0.184)	Loss 5.0275 (5.0003)	Prec@1 6.250 (4.764)	Prec@5 16.406 (16.201)
Epoch: [14][6000/7045]	Time 0.266 (0.248)	Data 0.216 (0.184)	Loss 5.1735 (5.0004)	Prec@1 4.688 (4.763)	Prec@5 18.359 (16.200)
Epoch: [14][6010/7045]	Time 0.319 (0.248)	Data 0.268 (0.184)	Loss 4.9821 (5.0005)	Prec@1 5.859 (4.763)	Prec@5 19.922 (16.199)
Epoch: [14][6020/7045]	Time 0.313 (0.248)	Data 0.261 (0.184)	Loss 4.8522 (5.0005)	Prec@1 7.031 (4.763)	Prec@5 18.359 (16.199)
Epoch: [14][6030/7045]	Time 0.351 (0.248)	Data 0.288 (0.184)	Loss 4.9550 (5.0005)	Prec@1 3.516 (4.762)	Prec@5 16.797 (16.200)
Epoch: [14][6040/7045]	Time 0.299 (0.248)	Data 0.249 (0.184)	Loss 5.0267 (5.0006)	Prec@1 6.641 (4.761)	Prec@5 14.844 (16.196)
Epoch: [14][6050/7045]	Time 0.102 (0.248)	Data 0.047 (0.184)	Loss 5.0415 (5.0005)	Prec@1 5.859 (4.761)	Prec@5 17.188 (16.197)
Epoch: [14][6060/7045]	Time 0.179 (0.248)	Data 0.127 (0.184)	Loss 5.0077 (5.0005)	Prec@1 2.734 (4.761)	Prec@5 15.234 (16.198)
Epoch: [14][6070/7045]	Time 0.107 (0.248)	Data 0.006 (0.184)	Loss 5.0098 (5.0005)	Prec@1 6.641 (4.762)	Prec@5 14.453 (16.200)
Epoch: [14][6080/7045]	Time 0.105 (0.248)	Data 0.053 (0.184)	Loss 4.9668 (5.0004)	Prec@1 3.906 (4.762)	Prec@5 14.062 (16.201)
Epoch: [14][6090/7045]	Time 0.170 (0.248)	Data 0.112 (0.184)	Loss 4.8943 (5.0004)	Prec@1 5.859 (4.762)	Prec@5 14.062 (16.201)
Epoch: [14][6100/7045]	Time 0.100 (0.248)	Data 0.005 (0.184)	Loss 4.7797 (5.0004)	Prec@1 3.516 (4.763)	Prec@5 19.922 (16.201)
Epoch: [14][6110/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 4.9829 (5.0003)	Prec@1 4.688 (4.763)	Prec@5 18.359 (16.202)
Epoch: [14][6120/7045]	Time 0.242 (0.248)	Data 0.191 (0.184)	Loss 5.0657 (5.0004)	Prec@1 7.031 (4.763)	Prec@5 15.625 (16.201)
Epoch: [14][6130/7045]	Time 0.181 (0.248)	Data 0.130 (0.184)	Loss 4.8527 (5.0004)	Prec@1 4.297 (4.763)	Prec@5 18.359 (16.201)
Epoch: [14][6140/7045]	Time 0.407 (0.248)	Data 0.355 (0.184)	Loss 4.9568 (5.0003)	Prec@1 5.469 (4.763)	Prec@5 16.797 (16.202)
Epoch: [14][6150/7045]	Time 0.102 (0.248)	Data 0.003 (0.184)	Loss 5.0380 (5.0003)	Prec@1 6.250 (4.762)	Prec@5 17.188 (16.202)
Epoch: [14][6160/7045]	Time 0.607 (0.248)	Data 0.557 (0.184)	Loss 5.2032 (5.0004)	Prec@1 3.906 (4.762)	Prec@5 14.453 (16.201)
Epoch: [14][6170/7045]	Time 0.111 (0.248)	Data 0.060 (0.184)	Loss 4.9122 (5.0003)	Prec@1 7.422 (4.762)	Prec@5 19.531 (16.202)
Epoch: [14][6180/7045]	Time 0.580 (0.248)	Data 0.529 (0.184)	Loss 4.9059 (5.0003)	Prec@1 4.688 (4.763)	Prec@5 17.578 (16.203)
Epoch: [14][6190/7045]	Time 0.117 (0.248)	Data 0.057 (0.184)	Loss 4.9472 (5.0002)	Prec@1 5.078 (4.763)	Prec@5 17.188 (16.203)
Epoch: [14][6200/7045]	Time 0.494 (0.248)	Data 0.438 (0.184)	Loss 4.9025 (5.0002)	Prec@1 7.031 (4.762)	Prec@5 19.531 (16.205)
Epoch: [14][6210/7045]	Time 0.108 (0.248)	Data 0.056 (0.184)	Loss 5.1254 (5.0002)	Prec@1 5.078 (4.763)	Prec@5 12.500 (16.204)
Epoch: [14][6220/7045]	Time 0.107 (0.248)	Data 0.054 (0.184)	Loss 4.9523 (5.0001)	Prec@1 7.031 (4.763)	Prec@5 17.578 (16.205)
Epoch: [14][6230/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 4.9854 (5.0001)	Prec@1 6.250 (4.763)	Prec@5 20.312 (16.208)
Epoch: [14][6240/7045]	Time 0.262 (0.248)	Data 0.209 (0.184)	Loss 5.0504 (5.0001)	Prec@1 8.203 (4.764)	Prec@5 18.750 (16.210)
Epoch: [14][6250/7045]	Time 0.475 (0.248)	Data 0.424 (0.184)	Loss 5.1147 (5.0000)	Prec@1 3.516 (4.764)	Prec@5 11.328 (16.210)
Epoch: [14][6260/7045]	Time 0.268 (0.248)	Data 0.218 (0.184)	Loss 4.9568 (5.0001)	Prec@1 5.469 (4.764)	Prec@5 16.406 (16.208)
Epoch: [14][6270/7045]	Time 0.351 (0.248)	Data 0.299 (0.184)	Loss 5.0238 (5.0001)	Prec@1 4.297 (4.765)	Prec@5 14.062 (16.209)
Epoch: [14][6280/7045]	Time 0.340 (0.248)	Data 0.289 (0.184)	Loss 4.9559 (5.0001)	Prec@1 5.859 (4.764)	Prec@5 17.969 (16.208)
Epoch: [14][6290/7045]	Time 0.317 (0.248)	Data 0.267 (0.184)	Loss 4.9809 (5.0000)	Prec@1 5.078 (4.764)	Prec@5 16.016 (16.210)
Epoch: [14][6300/7045]	Time 0.456 (0.248)	Data 0.404 (0.184)	Loss 4.9394 (5.0000)	Prec@1 5.859 (4.765)	Prec@5 17.188 (16.209)
Epoch: [14][6310/7045]	Time 0.393 (0.248)	Data 0.342 (0.184)	Loss 5.0526 (5.0000)	Prec@1 2.734 (4.764)	Prec@5 14.844 (16.209)
Epoch: [14][6320/7045]	Time 0.354 (0.248)	Data 0.303 (0.184)	Loss 4.8819 (5.0000)	Prec@1 5.469 (4.765)	Prec@5 18.359 (16.209)
Epoch: [14][6330/7045]	Time 0.564 (0.248)	Data 0.511 (0.184)	Loss 5.0846 (5.0001)	Prec@1 4.297 (4.764)	Prec@5 13.281 (16.207)
Epoch: [14][6340/7045]	Time 0.270 (0.248)	Data 0.219 (0.184)	Loss 5.1278 (5.0004)	Prec@1 4.688 (4.762)	Prec@5 15.625 (16.203)
Epoch: [14][6350/7045]	Time 0.388 (0.248)	Data 0.337 (0.184)	Loss 4.9158 (5.0004)	Prec@1 5.859 (4.761)	Prec@5 13.281 (16.201)
Epoch: [14][6360/7045]	Time 0.101 (0.248)	Data 0.002 (0.184)	Loss 4.9296 (5.0003)	Prec@1 5.078 (4.762)	Prec@5 18.750 (16.201)
Epoch: [14][6370/7045]	Time 0.110 (0.248)	Data 0.050 (0.184)	Loss 5.1073 (5.0002)	Prec@1 1.953 (4.763)	Prec@5 13.281 (16.205)
Epoch: [14][6380/7045]	Time 0.101 (0.248)	Data 0.001 (0.184)	Loss 5.0852 (5.0002)	Prec@1 3.906 (4.764)	Prec@5 11.328 (16.205)
Epoch: [14][6390/7045]	Time 0.108 (0.248)	Data 0.008 (0.184)	Loss 4.9773 (5.0002)	Prec@1 3.906 (4.764)	Prec@5 16.797 (16.205)
Epoch: [14][6400/7045]	Time 0.101 (0.248)	Data 0.047 (0.184)	Loss 5.0192 (5.0003)	Prec@1 5.469 (4.764)	Prec@5 17.578 (16.206)
Epoch: [14][6410/7045]	Time 0.203 (0.248)	Data 0.152 (0.184)	Loss 5.0937 (5.0004)	Prec@1 1.953 (4.762)	Prec@5 15.234 (16.204)
Epoch: [14][6420/7045]	Time 0.513 (0.248)	Data 0.462 (0.184)	Loss 5.0981 (5.0003)	Prec@1 3.906 (4.763)	Prec@5 16.406 (16.205)
Epoch: [14][6430/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 4.9875 (5.0002)	Prec@1 4.297 (4.763)	Prec@5 14.453 (16.206)
Epoch: [14][6440/7045]	Time 0.628 (0.248)	Data 0.575 (0.184)	Loss 4.8826 (5.0001)	Prec@1 4.297 (4.763)	Prec@5 18.359 (16.207)
Epoch: [14][6450/7045]	Time 0.102 (0.248)	Data 0.007 (0.184)	Loss 5.0125 (5.0001)	Prec@1 5.859 (4.763)	Prec@5 15.234 (16.208)
Epoch: [14][6460/7045]	Time 0.107 (0.248)	Data 0.001 (0.184)	Loss 4.9714 (5.0000)	Prec@1 7.031 (4.763)	Prec@5 16.406 (16.208)
Epoch: [14][6470/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 5.1479 (5.0000)	Prec@1 3.125 (4.763)	Prec@5 11.719 (16.208)
Epoch: [14][6480/7045]	Time 0.259 (0.248)	Data 0.206 (0.184)	Loss 4.8853 (4.9999)	Prec@1 5.469 (4.763)	Prec@5 17.578 (16.209)
Epoch: [14][6490/7045]	Time 0.391 (0.248)	Data 0.339 (0.184)	Loss 4.9336 (4.9998)	Prec@1 4.688 (4.763)	Prec@5 15.625 (16.209)
Epoch: [14][6500/7045]	Time 0.103 (0.248)	Data 0.001 (0.184)	Loss 5.0023 (4.9999)	Prec@1 5.859 (4.763)	Prec@5 17.969 (16.209)
Epoch: [14][6510/7045]	Time 0.334 (0.248)	Data 0.283 (0.184)	Loss 4.8962 (4.9998)	Prec@1 6.641 (4.764)	Prec@5 19.531 (16.208)
Epoch: [14][6520/7045]	Time 0.322 (0.248)	Data 0.271 (0.184)	Loss 4.8781 (4.9998)	Prec@1 5.078 (4.764)	Prec@5 18.359 (16.208)
Epoch: [14][6530/7045]	Time 0.109 (0.248)	Data 0.057 (0.184)	Loss 5.1364 (4.9998)	Prec@1 3.516 (4.764)	Prec@5 10.938 (16.208)
Epoch: [14][6540/7045]	Time 0.554 (0.248)	Data 0.503 (0.184)	Loss 5.0283 (4.9998)	Prec@1 3.906 (4.764)	Prec@5 12.891 (16.210)
Epoch: [14][6550/7045]	Time 0.171 (0.248)	Data 0.114 (0.184)	Loss 5.0442 (4.9998)	Prec@1 4.688 (4.764)	Prec@5 16.406 (16.210)
Epoch: [14][6560/7045]	Time 0.418 (0.248)	Data 0.366 (0.184)	Loss 4.8877 (4.9998)	Prec@1 2.734 (4.763)	Prec@5 16.016 (16.210)
Epoch: [14][6570/7045]	Time 0.103 (0.248)	Data 0.001 (0.184)	Loss 5.0040 (4.9997)	Prec@1 5.078 (4.764)	Prec@5 14.844 (16.209)
Epoch: [14][6580/7045]	Time 0.314 (0.248)	Data 0.261 (0.184)	Loss 5.0475 (4.9997)	Prec@1 5.078 (4.764)	Prec@5 17.188 (16.211)
Epoch: [14][6590/7045]	Time 0.238 (0.248)	Data 0.186 (0.185)	Loss 5.1194 (4.9997)	Prec@1 3.516 (4.764)	Prec@5 13.281 (16.212)
Epoch: [14][6600/7045]	Time 0.167 (0.248)	Data 0.115 (0.184)	Loss 5.0342 (4.9997)	Prec@1 4.688 (4.764)	Prec@5 14.453 (16.211)
Epoch: [14][6610/7045]	Time 0.195 (0.248)	Data 0.143 (0.184)	Loss 4.9408 (4.9997)	Prec@1 5.469 (4.763)	Prec@5 16.016 (16.211)
Epoch: [14][6620/7045]	Time 0.100 (0.248)	Data 0.001 (0.185)	Loss 4.9322 (4.9997)	Prec@1 6.250 (4.763)	Prec@5 19.141 (16.212)
Epoch: [14][6630/7045]	Time 0.602 (0.248)	Data 0.549 (0.185)	Loss 4.9591 (4.9998)	Prec@1 4.297 (4.763)	Prec@5 16.797 (16.211)
Epoch: [14][6640/7045]	Time 0.190 (0.248)	Data 0.139 (0.184)	Loss 5.1067 (4.9998)	Prec@1 4.297 (4.763)	Prec@5 13.672 (16.210)
Epoch: [14][6650/7045]	Time 0.500 (0.248)	Data 0.450 (0.185)	Loss 4.9968 (4.9999)	Prec@1 5.469 (4.762)	Prec@5 14.062 (16.209)
Epoch: [14][6660/7045]	Time 0.103 (0.248)	Data 0.003 (0.184)	Loss 4.9953 (5.0000)	Prec@1 6.250 (4.762)	Prec@5 15.625 (16.207)
Epoch: [14][6670/7045]	Time 0.554 (0.248)	Data 0.501 (0.184)	Loss 4.9362 (5.0000)	Prec@1 4.297 (4.761)	Prec@5 17.578 (16.208)
Epoch: [14][6680/7045]	Time 0.489 (0.248)	Data 0.436 (0.185)	Loss 5.0391 (5.0001)	Prec@1 5.469 (4.761)	Prec@5 16.016 (16.205)
Epoch: [14][6690/7045]	Time 0.100 (0.248)	Data 0.001 (0.184)	Loss 5.1249 (5.0001)	Prec@1 5.078 (4.761)	Prec@5 14.453 (16.204)
Epoch: [14][6700/7045]	Time 0.407 (0.248)	Data 0.355 (0.185)	Loss 5.1047 (5.0001)	Prec@1 5.469 (4.761)	Prec@5 17.188 (16.206)
Epoch: [14][6710/7045]	Time 0.480 (0.248)	Data 0.423 (0.185)	Loss 4.9082 (5.0001)	Prec@1 3.125 (4.761)	Prec@5 16.406 (16.207)
Epoch: [14][6720/7045]	Time 0.111 (0.248)	Data 0.006 (0.185)	Loss 5.0996 (5.0002)	Prec@1 3.125 (4.760)	Prec@5 16.016 (16.207)
Epoch: [14][6730/7045]	Time 0.385 (0.248)	Data 0.333 (0.185)	Loss 5.0037 (5.0002)	Prec@1 5.078 (4.760)	Prec@5 16.406 (16.206)
Epoch: [14][6740/7045]	Time 0.297 (0.248)	Data 0.238 (0.185)	Loss 5.0766 (5.0002)	Prec@1 5.078 (4.760)	Prec@5 14.844 (16.206)
Epoch: [14][6750/7045]	Time 0.250 (0.248)	Data 0.200 (0.185)	Loss 4.9205 (5.0003)	Prec@1 7.422 (4.760)	Prec@5 21.094 (16.206)
Epoch: [14][6760/7045]	Time 0.205 (0.248)	Data 0.154 (0.185)	Loss 4.9183 (5.0002)	Prec@1 5.469 (4.760)	Prec@5 17.188 (16.207)
Epoch: [14][6770/7045]	Time 0.101 (0.248)	Data 0.007 (0.185)	Loss 4.9656 (5.0001)	Prec@1 5.859 (4.762)	Prec@5 18.359 (16.210)
Epoch: [14][6780/7045]	Time 0.755 (0.248)	Data 0.704 (0.185)	Loss 5.0382 (5.0001)	Prec@1 5.078 (4.762)	Prec@5 15.234 (16.211)
Epoch: [14][6790/7045]	Time 0.100 (0.248)	Data 0.001 (0.185)	Loss 5.0221 (5.0002)	Prec@1 3.516 (4.761)	Prec@5 14.453 (16.209)
Epoch: [14][6800/7045]	Time 0.314 (0.248)	Data 0.263 (0.185)	Loss 4.9344 (5.0002)	Prec@1 6.250 (4.761)	Prec@5 17.188 (16.210)
Epoch: [14][6810/7045]	Time 0.281 (0.248)	Data 0.230 (0.185)	Loss 5.0211 (5.0002)	Prec@1 3.125 (4.761)	Prec@5 16.406 (16.208)
Epoch: [14][6820/7045]	Time 0.228 (0.248)	Data 0.177 (0.185)	Loss 5.1499 (5.0002)	Prec@1 3.125 (4.761)	Prec@5 16.797 (16.209)
Epoch: [14][6830/7045]	Time 0.127 (0.248)	Data 0.075 (0.185)	Loss 5.0223 (5.0002)	Prec@1 3.125 (4.762)	Prec@5 15.625 (16.209)
Epoch: [14][6840/7045]	Time 0.102 (0.248)	Data 0.003 (0.185)	Loss 4.9365 (5.0001)	Prec@1 8.594 (4.763)	Prec@5 18.750 (16.210)
Epoch: [14][6850/7045]	Time 0.270 (0.248)	Data 0.218 (0.185)	Loss 4.8183 (5.0001)	Prec@1 3.125 (4.762)	Prec@5 15.625 (16.212)
Epoch: [14][6860/7045]	Time 0.191 (0.248)	Data 0.140 (0.185)	Loss 5.0570 (5.0000)	Prec@1 3.516 (4.761)	Prec@5 17.188 (16.214)
Epoch: [14][6870/7045]	Time 0.191 (0.248)	Data 0.139 (0.185)	Loss 5.0016 (5.0000)	Prec@1 4.297 (4.760)	Prec@5 15.625 (16.213)
Epoch: [14][6880/7045]	Time 0.169 (0.248)	Data 0.117 (0.185)	Loss 4.8297 (5.0001)	Prec@1 5.859 (4.761)	Prec@5 18.359 (16.213)
Epoch: [14][6890/7045]	Time 0.179 (0.248)	Data 0.129 (0.185)	Loss 4.9549 (5.0000)	Prec@1 4.688 (4.761)	Prec@5 16.797 (16.213)
Epoch: [14][6900/7045]	Time 0.210 (0.248)	Data 0.159 (0.185)	Loss 5.0172 (5.0000)	Prec@1 5.469 (4.761)	Prec@5 19.531 (16.213)
Epoch: [14][6910/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 5.0985 (5.0001)	Prec@1 2.734 (4.760)	Prec@5 13.281 (16.213)
Epoch: [14][6920/7045]	Time 0.108 (0.248)	Data 0.056 (0.185)	Loss 5.1067 (5.0001)	Prec@1 3.516 (4.759)	Prec@5 14.844 (16.212)
Epoch: [14][6930/7045]	Time 0.103 (0.248)	Data 0.001 (0.185)	Loss 4.9966 (5.0001)	Prec@1 4.688 (4.759)	Prec@5 17.969 (16.213)
Epoch: [14][6940/7045]	Time 0.192 (0.248)	Data 0.142 (0.185)	Loss 4.8636 (5.0000)	Prec@1 5.078 (4.760)	Prec@5 19.531 (16.214)
Epoch: [14][6950/7045]	Time 0.103 (0.248)	Data 0.004 (0.185)	Loss 4.9880 (5.0000)	Prec@1 3.125 (4.760)	Prec@5 18.359 (16.216)
Epoch: [14][6960/7045]	Time 0.135 (0.248)	Data 0.085 (0.185)	Loss 4.9977 (4.9999)	Prec@1 5.078 (4.759)	Prec@5 16.406 (16.217)
Epoch: [14][6970/7045]	Time 0.101 (0.248)	Data 0.006 (0.185)	Loss 5.0013 (4.9999)	Prec@1 4.688 (4.760)	Prec@5 15.234 (16.218)
Epoch: [14][6980/7045]	Time 0.118 (0.248)	Data 0.065 (0.185)	Loss 5.0284 (4.9998)	Prec@1 7.812 (4.761)	Prec@5 17.188 (16.219)
Epoch: [14][6990/7045]	Time 0.100 (0.248)	Data 0.007 (0.185)	Loss 5.0398 (4.9998)	Prec@1 4.688 (4.760)	Prec@5 17.188 (16.219)
Epoch: [14][7000/7045]	Time 0.281 (0.248)	Data 0.229 (0.185)	Loss 5.0593 (4.9999)	Prec@1 3.125 (4.760)	Prec@5 16.406 (16.217)
Epoch: [14][7010/7045]	Time 0.219 (0.248)	Data 0.160 (0.185)	Loss 4.9682 (4.9999)	Prec@1 5.469 (4.760)	Prec@5 17.578 (16.218)
Epoch: [14][7020/7045]	Time 0.266 (0.248)	Data 0.215 (0.185)	Loss 5.0627 (5.0000)	Prec@1 3.906 (4.759)	Prec@5 15.234 (16.218)
Epoch: [14][7030/7045]	Time 0.226 (0.248)	Data 0.174 (0.185)	Loss 5.1184 (5.0001)	Prec@1 3.125 (4.759)	Prec@5 12.500 (16.217)
Epoch: [14][7040/7045]	Time 0.165 (0.248)	Data 0.113 (0.185)	Loss 5.0263 (5.0002)	Prec@1 4.688 (4.759)	Prec@5 16.406 (16.216)
Test: [0/143]	Time 1.239 (1.239)	Loss 5.0836 (5.0836)	Prec@1 2.734 (2.734)	Prec@5 12.109 (12.109)
Test: [10/143]	Time 0.152 (0.250)	Loss 4.9412 (4.9363)	Prec@1 3.516 (4.972)	Prec@5 19.531 (18.075)
Test: [20/143]	Time 0.314 (0.222)	Loss 4.8710 (4.8817)	Prec@1 3.125 (5.413)	Prec@5 16.406 (19.308)
Test: [30/143]	Time 0.344 (0.210)	Loss 4.9454 (4.8987)	Prec@1 4.688 (5.607)	Prec@5 21.875 (18.863)
Test: [40/143]	Time 0.252 (0.202)	Loss 5.0935 (4.8866)	Prec@1 0.781 (6.002)	Prec@5 6.250 (18.893)
Test: [50/143]	Time 0.430 (0.199)	Loss 4.8149 (4.9205)	Prec@1 8.594 (5.499)	Prec@5 24.609 (18.107)
Test: [60/143]	Time 0.185 (0.194)	Loss 4.9634 (4.8986)	Prec@1 0.781 (5.866)	Prec@5 12.500 (19.153)
Test: [70/143]	Time 0.539 (0.194)	Loss 5.1933 (4.9055)	Prec@1 1.562 (5.755)	Prec@5 6.250 (18.998)
Test: [80/143]	Time 0.058 (0.189)	Loss 4.9038 (4.9060)	Prec@1 7.422 (5.912)	Prec@5 20.703 (18.948)
Test: [90/143]	Time 0.302 (0.188)	Loss 5.2489 (4.9070)	Prec@1 0.391 (5.748)	Prec@5 8.984 (18.922)
Test: [100/143]	Time 0.164 (0.187)	Loss 4.1807 (4.9043)	Prec@1 8.984 (5.681)	Prec@5 44.922 (18.936)
Test: [110/143]	Time 0.204 (0.186)	Loss 5.0107 (4.9092)	Prec@1 3.125 (5.715)	Prec@5 17.578 (18.849)
Test: [120/143]	Time 0.226 (0.186)	Loss 4.7986 (4.8989)	Prec@1 6.641 (5.998)	Prec@5 25.391 (19.163)
Test: [130/143]	Time 0.207 (0.185)	Loss 4.8534 (4.9001)	Prec@1 7.812 (5.928)	Prec@5 19.922 (19.111)
Test: [140/143]	Time 0.404 (0.185)	Loss 4.9904 (4.9112)	Prec@1 1.172 (5.765)	Prec@5 7.422 (18.642)
 * Prec@1 5.775 Prec@5 18.685
Epoch: [15][0/7045]	Time 2.818 (2.818)	Data 2.759 (2.759)	Loss 5.1007 (5.1007)	Prec@1 3.906 (3.906)	Prec@5 10.938 (10.938)
Epoch: [15][10/7045]	Time 0.101 (0.421)	Data 0.001 (0.346)	Loss 4.9538 (4.9673)	Prec@1 5.078 (4.936)	Prec@5 17.969 (16.584)
Epoch: [15][20/7045]	Time 0.109 (0.361)	Data 0.006 (0.283)	Loss 4.8779 (4.9668)	Prec@1 8.594 (4.911)	Prec@5 20.312 (16.555)
Epoch: [15][30/7045]	Time 0.101 (0.315)	Data 0.009 (0.236)	Loss 5.0237 (4.9732)	Prec@1 3.516 (5.015)	Prec@5 14.453 (16.394)
Epoch: [15][40/7045]	Time 0.107 (0.305)	Data 0.008 (0.227)	Loss 4.8313 (4.9939)	Prec@1 5.469 (4.792)	Prec@5 18.750 (15.939)
Epoch: [15][50/7045]	Time 0.398 (0.294)	Data 0.347 (0.218)	Loss 5.1069 (5.0025)	Prec@1 3.516 (4.695)	Prec@5 8.984 (15.702)
Epoch: [15][60/7045]	Time 0.175 (0.286)	Data 0.119 (0.212)	Loss 5.0257 (4.9998)	Prec@1 5.078 (4.796)	Prec@5 16.406 (15.727)
Epoch: [15][70/7045]	Time 0.508 (0.284)	Data 0.457 (0.210)	Loss 5.0574 (5.0000)	Prec@1 4.297 (4.798)	Prec@5 14.844 (15.697)
Epoch: [15][80/7045]	Time 0.264 (0.279)	Data 0.213 (0.205)	Loss 4.8479 (5.0050)	Prec@1 6.250 (4.726)	Prec@5 21.484 (15.625)
Epoch: [15][90/7045]	Time 0.346 (0.275)	Data 0.296 (0.203)	Loss 4.9506 (5.0022)	Prec@1 4.297 (4.748)	Prec@5 17.188 (15.792)
Epoch: [15][100/7045]	Time 0.228 (0.271)	Data 0.178 (0.201)	Loss 4.9596 (5.0013)	Prec@1 5.859 (4.780)	Prec@5 20.312 (15.911)
Epoch: [15][110/7045]	Time 0.319 (0.271)	Data 0.269 (0.202)	Loss 5.1092 (5.0026)	Prec@1 3.125 (4.768)	Prec@5 13.281 (15.899)
Epoch: [15][120/7045]	Time 0.105 (0.267)	Data 0.055 (0.199)	Loss 5.0596 (5.0031)	Prec@1 5.078 (4.771)	Prec@5 16.016 (15.909)
Epoch: [15][130/7045]	Time 0.271 (0.267)	Data 0.221 (0.200)	Loss 5.0786 (5.0015)	Prec@1 4.297 (4.792)	Prec@5 16.797 (15.920)
Epoch: [15][140/7045]	Time 0.278 (0.266)	Data 0.217 (0.200)	Loss 5.0470 (5.0003)	Prec@1 5.469 (4.804)	Prec@5 14.844 (15.919)
Epoch: [15][150/7045]	Time 0.185 (0.263)	Data 0.133 (0.197)	Loss 5.2290 (5.0001)	Prec@1 4.297 (4.838)	Prec@5 13.281 (15.966)
Epoch: [15][160/7045]	Time 0.107 (0.264)	Data 0.004 (0.197)	Loss 4.9166 (5.0005)	Prec@1 5.859 (4.857)	Prec@5 18.750 (15.979)
Epoch: [15][170/7045]	Time 0.476 (0.263)	Data 0.425 (0.197)	Loss 4.7946 (4.9969)	Prec@1 6.641 (4.852)	Prec@5 19.141 (16.064)
Epoch: [15][180/7045]	Time 0.102 (0.262)	Data 0.001 (0.195)	Loss 4.7875 (4.9940)	Prec@1 5.078 (4.890)	Prec@5 21.484 (16.100)
Epoch: [15][190/7045]	Time 0.648 (0.262)	Data 0.598 (0.196)	Loss 4.8897 (4.9915)	Prec@1 5.078 (4.902)	Prec@5 18.359 (16.149)
Epoch: [15][200/7045]	Time 0.234 (0.261)	Data 0.183 (0.194)	Loss 5.0573 (4.9891)	Prec@1 3.516 (4.895)	Prec@5 15.625 (16.189)
Epoch: [15][210/7045]	Time 0.101 (0.261)	Data 0.001 (0.195)	Loss 4.9246 (4.9886)	Prec@1 5.859 (4.869)	Prec@5 17.578 (16.195)
Epoch: [15][220/7045]	Time 0.315 (0.260)	Data 0.263 (0.194)	Loss 4.8861 (4.9882)	Prec@1 4.297 (4.864)	Prec@5 16.016 (16.178)
Epoch: [15][230/7045]	Time 0.192 (0.259)	Data 0.142 (0.194)	Loss 5.0121 (4.9920)	Prec@1 3.516 (4.855)	Prec@5 12.500 (16.127)
Epoch: [15][240/7045]	Time 0.283 (0.259)	Data 0.232 (0.194)	Loss 4.9472 (4.9902)	Prec@1 3.906 (4.854)	Prec@5 17.969 (16.189)
Epoch: [15][250/7045]	Time 0.101 (0.258)	Data 0.001 (0.193)	Loss 5.0533 (4.9884)	Prec@1 3.906 (4.898)	Prec@5 19.141 (16.251)
Epoch: [15][260/7045]	Time 0.157 (0.259)	Data 0.106 (0.194)	Loss 5.0570 (4.9910)	Prec@1 4.688 (4.870)	Prec@5 14.062 (16.198)
Epoch: [15][270/7045]	Time 0.101 (0.258)	Data 0.001 (0.192)	Loss 4.9281 (4.9923)	Prec@1 5.078 (4.839)	Prec@5 16.406 (16.127)
Epoch: [15][280/7045]	Time 0.104 (0.258)	Data 0.052 (0.193)	Loss 4.8488 (4.9907)	Prec@1 5.859 (4.857)	Prec@5 18.750 (16.189)
Epoch: [15][290/7045]	Time 0.399 (0.258)	Data 0.348 (0.193)	Loss 4.9655 (4.9912)	Prec@1 3.516 (4.858)	Prec@5 14.844 (16.214)
Epoch: [15][300/7045]	Time 0.101 (0.257)	Data 0.002 (0.192)	Loss 4.8552 (4.9909)	Prec@1 5.469 (4.861)	Prec@5 20.312 (16.222)
Epoch: [15][310/7045]	Time 0.623 (0.257)	Data 0.572 (0.193)	Loss 5.0175 (4.9903)	Prec@1 4.688 (4.856)	Prec@5 16.016 (16.208)
Epoch: [15][320/7045]	Time 0.174 (0.256)	Data 0.124 (0.191)	Loss 4.9825 (4.9906)	Prec@1 5.469 (4.855)	Prec@5 17.578 (16.229)
Epoch: [15][330/7045]	Time 0.231 (0.256)	Data 0.174 (0.192)	Loss 4.8211 (4.9885)	Prec@1 6.641 (4.874)	Prec@5 20.703 (16.258)
Epoch: [15][340/7045]	Time 0.156 (0.256)	Data 0.104 (0.191)	Loss 4.9521 (4.9878)	Prec@1 5.078 (4.867)	Prec@5 16.406 (16.262)
Epoch: [15][350/7045]	Time 0.190 (0.256)	Data 0.140 (0.191)	Loss 4.9897 (4.9860)	Prec@1 4.297 (4.889)	Prec@5 15.625 (16.304)
Epoch: [15][360/7045]	Time 0.153 (0.255)	Data 0.101 (0.191)	Loss 4.9187 (4.9838)	Prec@1 4.688 (4.921)	Prec@5 19.922 (16.377)
Epoch: [15][370/7045]	Time 0.185 (0.255)	Data 0.134 (0.191)	Loss 5.0549 (4.9841)	Prec@1 4.297 (4.921)	Prec@5 14.062 (16.380)
Epoch: [15][380/7045]	Time 0.379 (0.255)	Data 0.320 (0.191)	Loss 4.7888 (4.9835)	Prec@1 5.859 (4.919)	Prec@5 19.141 (16.396)
Epoch: [15][390/7045]	Time 0.316 (0.255)	Data 0.265 (0.191)	Loss 4.8124 (4.9824)	Prec@1 5.859 (4.925)	Prec@5 17.188 (16.435)
Epoch: [15][400/7045]	Time 0.399 (0.255)	Data 0.348 (0.191)	Loss 4.8127 (4.9813)	Prec@1 5.859 (4.957)	Prec@5 18.750 (16.461)
Epoch: [15][410/7045]	Time 0.115 (0.254)	Data 0.063 (0.191)	Loss 5.0726 (4.9818)	Prec@1 3.516 (4.958)	Prec@5 15.234 (16.459)
Epoch: [15][420/7045]	Time 0.514 (0.254)	Data 0.464 (0.191)	Loss 5.0780 (4.9822)	Prec@1 3.516 (4.940)	Prec@5 14.844 (16.440)
Epoch: [15][430/7045]	Time 0.108 (0.254)	Data 0.056 (0.191)	Loss 4.8100 (4.9832)	Prec@1 8.594 (4.945)	Prec@5 23.047 (16.421)
Epoch: [15][440/7045]	Time 0.225 (0.254)	Data 0.174 (0.191)	Loss 4.9484 (4.9822)	Prec@1 4.688 (4.943)	Prec@5 16.016 (16.431)
Epoch: [15][450/7045]	Time 0.260 (0.254)	Data 0.208 (0.191)	Loss 4.9815 (4.9821)	Prec@1 4.688 (4.949)	Prec@5 15.234 (16.442)
Epoch: [15][460/7045]	Time 0.112 (0.254)	Data 0.010 (0.191)	Loss 4.9995 (4.9826)	Prec@1 2.734 (4.932)	Prec@5 16.797 (16.439)
Epoch: [15][470/7045]	Time 0.343 (0.254)	Data 0.292 (0.191)	Loss 4.9872 (4.9836)	Prec@1 5.078 (4.933)	Prec@5 15.625 (16.428)
Epoch: [15][480/7045]	Time 0.106 (0.254)	Data 0.054 (0.191)	Loss 5.0767 (4.9849)	Prec@1 4.688 (4.938)	Prec@5 15.625 (16.422)
Epoch: [15][490/7045]	Time 0.125 (0.254)	Data 0.073 (0.191)	Loss 4.9197 (4.9852)	Prec@1 4.297 (4.925)	Prec@5 14.844 (16.408)
Epoch: [15][500/7045]	Time 0.257 (0.254)	Data 0.206 (0.191)	Loss 5.0445 (4.9860)	Prec@1 3.125 (4.908)	Prec@5 14.062 (16.392)
Epoch: [15][510/7045]	Time 0.174 (0.254)	Data 0.123 (0.191)	Loss 4.9710 (4.9869)	Prec@1 5.859 (4.902)	Prec@5 17.188 (16.372)
Epoch: [15][520/7045]	Time 0.295 (0.255)	Data 0.244 (0.192)	Loss 5.0466 (4.9875)	Prec@1 4.688 (4.906)	Prec@5 16.406 (16.356)
Epoch: [15][530/7045]	Time 0.362 (0.255)	Data 0.311 (0.192)	Loss 4.9395 (4.9876)	Prec@1 6.641 (4.902)	Prec@5 15.625 (16.363)
Epoch: [15][540/7045]	Time 0.115 (0.254)	Data 0.065 (0.192)	Loss 5.0156 (4.9873)	Prec@1 3.125 (4.893)	Prec@5 14.453 (16.361)
Epoch: [15][550/7045]	Time 0.119 (0.255)	Data 0.059 (0.192)	Loss 4.9262 (4.9868)	Prec@1 4.297 (4.885)	Prec@5 19.141 (16.379)
Epoch: [15][560/7045]	Time 0.144 (0.254)	Data 0.092 (0.192)	Loss 4.9682 (4.9868)	Prec@1 4.297 (4.876)	Prec@5 17.969 (16.380)
Epoch: [15][570/7045]	Time 0.187 (0.254)	Data 0.136 (0.192)	Loss 4.8943 (4.9870)	Prec@1 6.250 (4.879)	Prec@5 18.750 (16.388)
Epoch: [15][580/7045]	Time 0.225 (0.254)	Data 0.173 (0.192)	Loss 4.9197 (4.9870)	Prec@1 6.250 (4.878)	Prec@5 18.750 (16.402)
Epoch: [15][590/7045]	Time 0.284 (0.254)	Data 0.232 (0.192)	Loss 4.9744 (4.9859)	Prec@1 3.125 (4.886)	Prec@5 12.500 (16.417)
Epoch: [15][600/7045]	Time 0.102 (0.254)	Data 0.001 (0.192)	Loss 4.8863 (4.9849)	Prec@1 10.156 (4.900)	Prec@5 20.703 (16.437)
Epoch: [15][610/7045]	Time 0.279 (0.254)	Data 0.221 (0.192)	Loss 4.9831 (4.9846)	Prec@1 5.078 (4.906)	Prec@5 14.453 (16.445)
Epoch: [15][620/7045]	Time 0.423 (0.254)	Data 0.372 (0.192)	Loss 5.0343 (4.9847)	Prec@1 3.516 (4.900)	Prec@5 12.109 (16.441)
Epoch: [15][630/7045]	Time 0.107 (0.254)	Data 0.054 (0.192)	Loss 5.0606 (4.9851)	Prec@1 3.516 (4.887)	Prec@5 17.188 (16.423)
Epoch: [15][640/7045]	Time 0.741 (0.255)	Data 0.689 (0.193)	Loss 5.0304 (4.9859)	Prec@1 3.125 (4.875)	Prec@5 17.188 (16.404)
Epoch: [15][650/7045]	Time 0.153 (0.254)	Data 0.095 (0.192)	Loss 4.8632 (4.9859)	Prec@1 2.734 (4.871)	Prec@5 16.797 (16.419)
Epoch: [15][660/7045]	Time 0.412 (0.254)	Data 0.360 (0.192)	Loss 4.9804 (4.9865)	Prec@1 6.641 (4.872)	Prec@5 17.578 (16.408)
Epoch: [15][670/7045]	Time 0.107 (0.254)	Data 0.003 (0.192)	Loss 5.0104 (4.9871)	Prec@1 5.078 (4.874)	Prec@5 16.797 (16.418)
Epoch: [15][680/7045]	Time 0.551 (0.254)	Data 0.500 (0.192)	Loss 5.0009 (4.9874)	Prec@1 3.906 (4.870)	Prec@5 12.891 (16.402)
Epoch: [15][690/7045]	Time 0.102 (0.254)	Data 0.001 (0.192)	Loss 4.9325 (4.9870)	Prec@1 5.078 (4.875)	Prec@5 16.016 (16.401)
Epoch: [15][700/7045]	Time 0.342 (0.254)	Data 0.291 (0.191)	Loss 4.9699 (4.9870)	Prec@1 4.688 (4.867)	Prec@5 16.016 (16.400)
Epoch: [15][710/7045]	Time 0.109 (0.254)	Data 0.017 (0.191)	Loss 4.9941 (4.9874)	Prec@1 3.516 (4.859)	Prec@5 17.969 (16.386)
Epoch: [15][720/7045]	Time 0.466 (0.254)	Data 0.415 (0.191)	Loss 5.0548 (4.9878)	Prec@1 2.344 (4.852)	Prec@5 16.016 (16.398)
Epoch: [15][730/7045]	Time 0.165 (0.254)	Data 0.114 (0.191)	Loss 4.8191 (4.9874)	Prec@1 5.469 (4.858)	Prec@5 20.703 (16.422)
Epoch: [15][740/7045]	Time 0.544 (0.254)	Data 0.493 (0.191)	Loss 4.9869 (4.9870)	Prec@1 4.297 (4.859)	Prec@5 16.016 (16.424)
Epoch: [15][750/7045]	Time 0.122 (0.254)	Data 0.071 (0.191)	Loss 4.9128 (4.9877)	Prec@1 5.469 (4.851)	Prec@5 18.750 (16.422)
Epoch: [15][760/7045]	Time 0.642 (0.254)	Data 0.583 (0.191)	Loss 5.0555 (4.9867)	Prec@1 4.297 (4.859)	Prec@5 16.406 (16.443)
Epoch: [15][770/7045]	Time 0.108 (0.254)	Data 0.001 (0.191)	Loss 4.9997 (4.9869)	Prec@1 5.469 (4.853)	Prec@5 15.625 (16.435)
Epoch: [15][780/7045]	Time 0.660 (0.254)	Data 0.601 (0.191)	Loss 5.0227 (4.9872)	Prec@1 4.297 (4.854)	Prec@5 13.281 (16.425)
Epoch: [15][790/7045]	Time 0.102 (0.253)	Data 0.012 (0.190)	Loss 4.7801 (4.9871)	Prec@1 8.594 (4.856)	Prec@5 21.484 (16.437)
Epoch: [15][800/7045]	Time 0.275 (0.253)	Data 0.218 (0.191)	Loss 4.9971 (4.9881)	Prec@1 5.078 (4.848)	Prec@5 18.750 (16.423)
Epoch: [15][810/7045]	Time 0.169 (0.253)	Data 0.118 (0.191)	Loss 4.9968 (4.9887)	Prec@1 5.078 (4.844)	Prec@5 16.797 (16.411)
Epoch: [15][820/7045]	Time 0.099 (0.253)	Data 0.046 (0.191)	Loss 5.1649 (4.9895)	Prec@1 5.078 (4.838)	Prec@5 12.891 (16.395)
Epoch: [15][830/7045]	Time 0.101 (0.253)	Data 0.014 (0.190)	Loss 5.0612 (4.9907)	Prec@1 5.859 (4.831)	Prec@5 15.625 (16.367)
Epoch: [15][840/7045]	Time 0.110 (0.253)	Data 0.012 (0.190)	Loss 5.0053 (4.9914)	Prec@1 4.688 (4.830)	Prec@5 16.797 (16.362)
Epoch: [15][850/7045]	Time 0.101 (0.253)	Data 0.001 (0.190)	Loss 5.1112 (4.9917)	Prec@1 2.344 (4.824)	Prec@5 13.281 (16.347)
Epoch: [15][860/7045]	Time 0.316 (0.253)	Data 0.265 (0.190)	Loss 4.9998 (4.9923)	Prec@1 4.688 (4.820)	Prec@5 16.797 (16.335)
Epoch: [15][870/7045]	Time 0.118 (0.253)	Data 0.066 (0.190)	Loss 5.0456 (4.9929)	Prec@1 4.297 (4.814)	Prec@5 16.016 (16.324)
Epoch: [15][880/7045]	Time 0.331 (0.253)	Data 0.280 (0.190)	Loss 5.0630 (4.9931)	Prec@1 3.516 (4.810)	Prec@5 14.844 (16.320)
Epoch: [15][890/7045]	Time 0.103 (0.253)	Data 0.006 (0.190)	Loss 4.9034 (4.9935)	Prec@1 6.250 (4.811)	Prec@5 19.531 (16.315)
Epoch: [15][900/7045]	Time 0.114 (0.253)	Data 0.063 (0.190)	Loss 4.9646 (4.9937)	Prec@1 2.734 (4.809)	Prec@5 17.188 (16.318)
Epoch: [15][910/7045]	Time 0.102 (0.253)	Data 0.001 (0.190)	Loss 4.9450 (4.9941)	Prec@1 7.031 (4.809)	Prec@5 18.750 (16.320)
Epoch: [15][920/7045]	Time 0.143 (0.253)	Data 0.091 (0.190)	Loss 4.9471 (4.9944)	Prec@1 4.688 (4.810)	Prec@5 17.188 (16.322)
Epoch: [15][930/7045]	Time 0.102 (0.253)	Data 0.001 (0.190)	Loss 5.1429 (4.9955)	Prec@1 4.297 (4.802)	Prec@5 14.453 (16.314)
Epoch: [15][940/7045]	Time 0.167 (0.253)	Data 0.115 (0.190)	Loss 5.0510 (4.9959)	Prec@1 5.469 (4.801)	Prec@5 17.578 (16.305)
Epoch: [15][950/7045]	Time 0.424 (0.253)	Data 0.373 (0.190)	Loss 4.8719 (4.9957)	Prec@1 5.469 (4.805)	Prec@5 19.141 (16.306)
Epoch: [15][960/7045]	Time 0.108 (0.253)	Data 0.055 (0.190)	Loss 4.9763 (4.9957)	Prec@1 5.469 (4.802)	Prec@5 16.406 (16.299)
Epoch: [15][970/7045]	Time 0.549 (0.253)	Data 0.497 (0.190)	Loss 4.9986 (4.9961)	Prec@1 6.250 (4.799)	Prec@5 16.406 (16.290)
Epoch: [15][980/7045]	Time 0.248 (0.253)	Data 0.197 (0.190)	Loss 4.9593 (4.9962)	Prec@1 3.125 (4.802)	Prec@5 14.062 (16.290)
Epoch: [15][990/7045]	Time 0.617 (0.253)	Data 0.566 (0.190)	Loss 4.8808 (4.9961)	Prec@1 5.469 (4.799)	Prec@5 17.969 (16.286)
Epoch: [15][1000/7045]	Time 0.186 (0.253)	Data 0.134 (0.190)	Loss 4.9742 (4.9958)	Prec@1 7.422 (4.805)	Prec@5 16.016 (16.291)
Epoch: [15][1010/7045]	Time 0.186 (0.253)	Data 0.134 (0.190)	Loss 5.0121 (4.9953)	Prec@1 4.688 (4.805)	Prec@5 15.625 (16.296)
Epoch: [15][1020/7045]	Time 0.422 (0.253)	Data 0.370 (0.190)	Loss 4.9009 (4.9947)	Prec@1 6.641 (4.809)	Prec@5 18.750 (16.302)
Epoch: [15][1030/7045]	Time 0.172 (0.253)	Data 0.121 (0.190)	Loss 4.7640 (4.9944)	Prec@1 8.594 (4.815)	Prec@5 19.922 (16.313)
Epoch: [15][1040/7045]	Time 0.555 (0.253)	Data 0.498 (0.190)	Loss 5.1243 (4.9948)	Prec@1 3.516 (4.816)	Prec@5 14.844 (16.313)
Epoch: [15][1050/7045]	Time 0.113 (0.253)	Data 0.061 (0.190)	Loss 4.9451 (4.9951)	Prec@1 4.688 (4.813)	Prec@5 17.969 (16.305)
Epoch: [15][1060/7045]	Time 0.492 (0.253)	Data 0.440 (0.190)	Loss 4.9666 (4.9950)	Prec@1 5.078 (4.813)	Prec@5 15.625 (16.308)
Epoch: [15][1070/7045]	Time 0.288 (0.253)	Data 0.236 (0.190)	Loss 4.9858 (4.9947)	Prec@1 4.297 (4.818)	Prec@5 14.844 (16.310)
Epoch: [15][1080/7045]	Time 0.140 (0.253)	Data 0.086 (0.190)	Loss 5.0154 (4.9945)	Prec@1 5.859 (4.820)	Prec@5 17.578 (16.309)
Epoch: [15][1090/7045]	Time 0.436 (0.253)	Data 0.371 (0.190)	Loss 5.0859 (4.9944)	Prec@1 3.906 (4.819)	Prec@5 15.234 (16.305)
Epoch: [15][1100/7045]	Time 0.101 (0.253)	Data 0.001 (0.190)	Loss 4.9026 (4.9940)	Prec@1 7.812 (4.821)	Prec@5 17.578 (16.314)
Epoch: [15][1110/7045]	Time 0.245 (0.253)	Data 0.194 (0.190)	Loss 5.0742 (4.9946)	Prec@1 5.469 (4.820)	Prec@5 16.016 (16.303)
Epoch: [15][1120/7045]	Time 0.299 (0.253)	Data 0.247 (0.190)	Loss 5.0094 (4.9951)	Prec@1 6.250 (4.821)	Prec@5 17.188 (16.290)
Epoch: [15][1130/7045]	Time 0.111 (0.253)	Data 0.056 (0.190)	Loss 5.0503 (4.9948)	Prec@1 4.688 (4.826)	Prec@5 16.797 (16.298)
Epoch: [15][1140/7045]	Time 0.164 (0.252)	Data 0.113 (0.190)	Loss 4.8838 (4.9950)	Prec@1 3.516 (4.821)	Prec@5 13.281 (16.293)
Epoch: [15][1150/7045]	Time 0.101 (0.253)	Data 0.002 (0.191)	Loss 4.9991 (4.9947)	Prec@1 3.125 (4.819)	Prec@5 19.531 (16.292)
Epoch: [15][1160/7045]	Time 0.103 (0.252)	Data 0.051 (0.190)	Loss 4.9128 (4.9942)	Prec@1 4.688 (4.820)	Prec@5 19.922 (16.311)
Epoch: [15][1170/7045]	Time 0.240 (0.253)	Data 0.189 (0.190)	Loss 5.1027 (4.9946)	Prec@1 5.078 (4.821)	Prec@5 15.234 (16.311)
Epoch: [15][1180/7045]	Time 0.593 (0.253)	Data 0.541 (0.190)	Loss 4.9166 (4.9944)	Prec@1 5.078 (4.815)	Prec@5 20.703 (16.309)
Epoch: [15][1190/7045]	Time 0.106 (0.253)	Data 0.051 (0.190)	Loss 4.9447 (4.9944)	Prec@1 3.906 (4.813)	Prec@5 19.141 (16.310)
Epoch: [15][1200/7045]	Time 0.235 (0.253)	Data 0.184 (0.190)	Loss 5.0069 (4.9941)	Prec@1 2.344 (4.815)	Prec@5 10.938 (16.312)
Epoch: [15][1210/7045]	Time 0.170 (0.253)	Data 0.119 (0.190)	Loss 5.0323 (4.9940)	Prec@1 2.344 (4.813)	Prec@5 14.062 (16.320)
Epoch: [15][1220/7045]	Time 0.101 (0.252)	Data 0.003 (0.190)	Loss 4.9214 (4.9937)	Prec@1 5.469 (4.813)	Prec@5 16.406 (16.321)
Epoch: [15][1230/7045]	Time 0.110 (0.252)	Data 0.059 (0.190)	Loss 4.9497 (4.9935)	Prec@1 7.031 (4.818)	Prec@5 20.312 (16.327)
Epoch: [15][1240/7045]	Time 0.101 (0.252)	Data 0.005 (0.190)	Loss 5.0807 (4.9933)	Prec@1 3.125 (4.816)	Prec@5 14.062 (16.329)
Epoch: [15][1250/7045]	Time 0.145 (0.252)	Data 0.094 (0.190)	Loss 4.9075 (4.9934)	Prec@1 4.297 (4.814)	Prec@5 17.578 (16.329)
Epoch: [15][1260/7045]	Time 0.211 (0.252)	Data 0.159 (0.190)	Loss 4.9812 (4.9932)	Prec@1 3.906 (4.812)	Prec@5 14.062 (16.328)
Epoch: [15][1270/7045]	Time 0.205 (0.252)	Data 0.154 (0.190)	Loss 5.0671 (4.9935)	Prec@1 3.906 (4.812)	Prec@5 14.453 (16.325)
Epoch: [15][1280/7045]	Time 0.102 (0.252)	Data 0.045 (0.190)	Loss 5.1043 (4.9935)	Prec@1 5.859 (4.817)	Prec@5 16.406 (16.331)
Epoch: [15][1290/7045]	Time 0.108 (0.252)	Data 0.057 (0.190)	Loss 5.0083 (4.9933)	Prec@1 4.297 (4.817)	Prec@5 16.016 (16.335)
Epoch: [15][1300/7045]	Time 0.106 (0.252)	Data 0.001 (0.190)	Loss 4.9001 (4.9935)	Prec@1 5.469 (4.814)	Prec@5 19.141 (16.328)
Epoch: [15][1310/7045]	Time 0.343 (0.252)	Data 0.293 (0.190)	Loss 4.9759 (4.9934)	Prec@1 3.906 (4.819)	Prec@5 10.938 (16.327)
Epoch: [15][1320/7045]	Time 0.104 (0.252)	Data 0.052 (0.190)	Loss 4.8816 (4.9930)	Prec@1 4.688 (4.820)	Prec@5 20.312 (16.333)
Epoch: [15][1330/7045]	Time 0.458 (0.252)	Data 0.408 (0.190)	Loss 4.9650 (4.9928)	Prec@1 3.906 (4.820)	Prec@5 16.406 (16.341)
Epoch: [15][1340/7045]	Time 0.103 (0.252)	Data 0.001 (0.190)	Loss 5.1511 (4.9931)	Prec@1 4.688 (4.818)	Prec@5 14.062 (16.337)
Epoch: [15][1350/7045]	Time 0.240 (0.252)	Data 0.189 (0.190)	Loss 4.9791 (4.9930)	Prec@1 3.906 (4.818)	Prec@5 14.062 (16.337)
Epoch: [15][1360/7045]	Time 0.103 (0.252)	Data 0.001 (0.190)	Loss 4.9145 (4.9930)	Prec@1 5.078 (4.818)	Prec@5 18.750 (16.341)
Epoch: [15][1370/7045]	Time 0.303 (0.252)	Data 0.252 (0.190)	Loss 5.1662 (4.9934)	Prec@1 3.906 (4.815)	Prec@5 15.625 (16.338)
Epoch: [15][1380/7045]	Time 0.730 (0.252)	Data 0.678 (0.190)	Loss 4.9917 (4.9936)	Prec@1 6.641 (4.816)	Prec@5 16.406 (16.334)
Epoch: [15][1390/7045]	Time 0.136 (0.252)	Data 0.085 (0.190)	Loss 4.9872 (4.9937)	Prec@1 3.125 (4.813)	Prec@5 17.969 (16.334)
Epoch: [15][1400/7045]	Time 0.568 (0.252)	Data 0.516 (0.190)	Loss 4.9628 (4.9937)	Prec@1 5.078 (4.813)	Prec@5 14.844 (16.332)
Epoch: [15][1410/7045]	Time 0.358 (0.252)	Data 0.306 (0.190)	Loss 4.8102 (4.9938)	Prec@1 6.641 (4.816)	Prec@5 19.141 (16.335)
Epoch: [15][1420/7045]	Time 0.111 (0.252)	Data 0.004 (0.190)	Loss 4.8246 (4.9936)	Prec@1 6.641 (4.815)	Prec@5 20.703 (16.339)
Epoch: [15][1430/7045]	Time 0.289 (0.252)	Data 0.237 (0.190)	Loss 4.9438 (4.9933)	Prec@1 6.250 (4.822)	Prec@5 16.016 (16.341)
Epoch: [15][1440/7045]	Time 0.399 (0.252)	Data 0.347 (0.190)	Loss 5.0411 (4.9931)	Prec@1 4.688 (4.823)	Prec@5 14.453 (16.348)
Epoch: [15][1450/7045]	Time 0.101 (0.252)	Data 0.001 (0.190)	Loss 4.9317 (4.9927)	Prec@1 8.594 (4.826)	Prec@5 17.969 (16.352)
Epoch: [15][1460/7045]	Time 0.581 (0.252)	Data 0.529 (0.190)	Loss 4.9132 (4.9924)	Prec@1 4.688 (4.829)	Prec@5 16.016 (16.359)
Epoch: [15][1470/7045]	Time 0.341 (0.252)	Data 0.290 (0.190)	Loss 5.0368 (4.9922)	Prec@1 5.469 (4.827)	Prec@5 15.234 (16.353)
Epoch: [15][1480/7045]	Time 0.106 (0.252)	Data 0.054 (0.190)	Loss 4.9544 (4.9922)	Prec@1 4.297 (4.827)	Prec@5 16.016 (16.356)
Epoch: [15][1490/7045]	Time 0.243 (0.252)	Data 0.191 (0.190)	Loss 5.0414 (4.9923)	Prec@1 4.297 (4.823)	Prec@5 14.844 (16.354)
Epoch: [15][1500/7045]	Time 0.263 (0.252)	Data 0.211 (0.190)	Loss 4.7983 (4.9919)	Prec@1 7.812 (4.824)	Prec@5 22.656 (16.363)
Epoch: [15][1510/7045]	Time 0.101 (0.252)	Data 0.009 (0.190)	Loss 5.0724 (4.9919)	Prec@1 3.906 (4.828)	Prec@5 14.062 (16.372)
Epoch: [15][1520/7045]	Time 0.470 (0.252)	Data 0.419 (0.190)	Loss 5.0739 (4.9918)	Prec@1 5.078 (4.831)	Prec@5 15.234 (16.382)
Epoch: [15][1530/7045]	Time 0.102 (0.252)	Data 0.001 (0.190)	Loss 5.0663 (4.9921)	Prec@1 5.078 (4.833)	Prec@5 14.844 (16.378)
Epoch: [15][1540/7045]	Time 0.475 (0.252)	Data 0.424 (0.190)	Loss 4.9871 (4.9918)	Prec@1 4.688 (4.836)	Prec@5 18.359 (16.391)
Epoch: [15][1550/7045]	Time 0.101 (0.252)	Data 0.001 (0.189)	Loss 4.9937 (4.9916)	Prec@1 6.250 (4.835)	Prec@5 18.750 (16.393)
Epoch: [15][1560/7045]	Time 0.432 (0.252)	Data 0.372 (0.189)	Loss 4.8440 (4.9913)	Prec@1 6.641 (4.839)	Prec@5 20.312 (16.395)
Epoch: [15][1570/7045]	Time 0.101 (0.252)	Data 0.001 (0.189)	Loss 4.9388 (4.9912)	Prec@1 4.688 (4.841)	Prec@5 17.578 (16.395)
Epoch: [15][1580/7045]	Time 0.236 (0.252)	Data 0.186 (0.189)	Loss 4.9416 (4.9913)	Prec@1 5.859 (4.837)	Prec@5 18.750 (16.388)
Epoch: [15][1590/7045]	Time 0.144 (0.252)	Data 0.092 (0.189)	Loss 4.9134 (4.9910)	Prec@1 5.469 (4.839)	Prec@5 19.141 (16.395)
Epoch: [15][1600/7045]	Time 0.125 (0.252)	Data 0.070 (0.189)	Loss 5.0076 (4.9909)	Prec@1 3.906 (4.838)	Prec@5 14.062 (16.398)
Epoch: [15][1610/7045]	Time 0.215 (0.252)	Data 0.158 (0.189)	Loss 4.8615 (4.9904)	Prec@1 3.125 (4.839)	Prec@5 19.141 (16.411)
Epoch: [15][1620/7045]	Time 0.201 (0.252)	Data 0.149 (0.189)	Loss 4.9472 (4.9900)	Prec@1 4.297 (4.837)	Prec@5 16.406 (16.415)
Epoch: [15][1630/7045]	Time 0.102 (0.252)	Data 0.004 (0.189)	Loss 5.0432 (4.9898)	Prec@1 4.297 (4.834)	Prec@5 15.625 (16.420)
Epoch: [15][1640/7045]	Time 0.269 (0.252)	Data 0.218 (0.189)	Loss 4.8280 (4.9900)	Prec@1 5.078 (4.833)	Prec@5 18.359 (16.422)
Epoch: [15][1650/7045]	Time 0.187 (0.252)	Data 0.128 (0.189)	Loss 5.0344 (4.9899)	Prec@1 5.859 (4.832)	Prec@5 13.672 (16.417)
Epoch: [15][1660/7045]	Time 0.277 (0.252)	Data 0.227 (0.189)	Loss 5.0189 (4.9901)	Prec@1 6.250 (4.832)	Prec@5 16.797 (16.416)
Epoch: [15][1670/7045]	Time 0.113 (0.252)	Data 0.055 (0.189)	Loss 4.9935 (4.9900)	Prec@1 5.078 (4.832)	Prec@5 21.094 (16.422)
Epoch: [15][1680/7045]	Time 0.237 (0.252)	Data 0.187 (0.189)	Loss 4.9435 (4.9897)	Prec@1 4.297 (4.839)	Prec@5 16.797 (16.429)
Epoch: [15][1690/7045]	Time 0.232 (0.252)	Data 0.181 (0.189)	Loss 4.9315 (4.9895)	Prec@1 6.250 (4.841)	Prec@5 16.406 (16.429)
Epoch: [15][1700/7045]	Time 0.102 (0.252)	Data 0.017 (0.189)	Loss 4.8859 (4.9892)	Prec@1 5.469 (4.841)	Prec@5 19.531 (16.433)
Epoch: [15][1710/7045]	Time 0.248 (0.252)	Data 0.197 (0.189)	Loss 5.1057 (4.9893)	Prec@1 3.125 (4.841)	Prec@5 13.281 (16.427)
Epoch: [15][1720/7045]	Time 0.103 (0.252)	Data 0.001 (0.189)	Loss 4.9294 (4.9892)	Prec@1 3.125 (4.836)	Prec@5 19.141 (16.426)
Epoch: [15][1730/7045]	Time 0.224 (0.252)	Data 0.171 (0.189)	Loss 5.0286 (4.9893)	Prec@1 2.734 (4.837)	Prec@5 14.062 (16.425)
Epoch: [15][1740/7045]	Time 0.383 (0.251)	Data 0.330 (0.189)	Loss 4.8735 (4.9894)	Prec@1 5.859 (4.838)	Prec@5 20.312 (16.425)
Epoch: [15][1750/7045]	Time 0.293 (0.251)	Data 0.232 (0.189)	Loss 4.8848 (4.9893)	Prec@1 4.297 (4.835)	Prec@5 17.578 (16.424)
Epoch: [15][1760/7045]	Time 0.499 (0.251)	Data 0.448 (0.189)	Loss 5.0479 (4.9893)	Prec@1 5.859 (4.839)	Prec@5 14.062 (16.423)
Epoch: [15][1770/7045]	Time 0.220 (0.251)	Data 0.169 (0.189)	Loss 5.0089 (4.9898)	Prec@1 5.859 (4.835)	Prec@5 17.188 (16.416)
Epoch: [15][1780/7045]	Time 0.592 (0.252)	Data 0.542 (0.189)	Loss 5.0622 (4.9904)	Prec@1 3.125 (4.831)	Prec@5 14.844 (16.406)
Epoch: [15][1790/7045]	Time 0.166 (0.251)	Data 0.115 (0.189)	Loss 4.9879 (4.9904)	Prec@1 6.250 (4.830)	Prec@5 16.797 (16.405)
Epoch: [15][1800/7045]	Time 0.345 (0.251)	Data 0.294 (0.189)	Loss 5.0202 (4.9909)	Prec@1 5.078 (4.823)	Prec@5 15.234 (16.395)
Epoch: [15][1810/7045]	Time 0.125 (0.251)	Data 0.073 (0.189)	Loss 4.8321 (4.9908)	Prec@1 4.297 (4.821)	Prec@5 21.094 (16.395)
Epoch: [15][1820/7045]	Time 0.376 (0.251)	Data 0.323 (0.189)	Loss 5.0552 (4.9908)	Prec@1 3.516 (4.822)	Prec@5 15.625 (16.397)
Epoch: [15][1830/7045]	Time 0.639 (0.251)	Data 0.589 (0.189)	Loss 4.9671 (4.9911)	Prec@1 5.859 (4.821)	Prec@5 17.969 (16.393)
Epoch: [15][1840/7045]	Time 0.102 (0.251)	Data 0.001 (0.189)	Loss 4.9502 (4.9914)	Prec@1 4.297 (4.819)	Prec@5 16.797 (16.390)
Epoch: [15][1850/7045]	Time 0.407 (0.251)	Data 0.354 (0.189)	Loss 5.0454 (4.9914)	Prec@1 5.469 (4.817)	Prec@5 16.797 (16.390)
Epoch: [15][1860/7045]	Time 0.110 (0.251)	Data 0.056 (0.189)	Loss 4.9562 (4.9912)	Prec@1 2.734 (4.814)	Prec@5 15.234 (16.393)
Epoch: [15][1870/7045]	Time 0.102 (0.251)	Data 0.017 (0.189)	Loss 4.9993 (4.9914)	Prec@1 7.422 (4.814)	Prec@5 18.750 (16.394)
Epoch: [15][1880/7045]	Time 0.125 (0.251)	Data 0.072 (0.189)	Loss 4.9892 (4.9913)	Prec@1 4.297 (4.815)	Prec@5 15.625 (16.394)
Epoch: [15][1890/7045]	Time 0.464 (0.252)	Data 0.407 (0.190)	Loss 5.0189 (4.9911)	Prec@1 1.953 (4.813)	Prec@5 10.938 (16.392)
Epoch: [15][1900/7045]	Time 0.182 (0.252)	Data 0.131 (0.189)	Loss 4.9785 (4.9910)	Prec@1 5.859 (4.817)	Prec@5 19.141 (16.403)
Epoch: [15][1910/7045]	Time 0.645 (0.252)	Data 0.593 (0.190)	Loss 5.0922 (4.9909)	Prec@1 3.125 (4.818)	Prec@5 15.234 (16.406)
Epoch: [15][1920/7045]	Time 0.197 (0.251)	Data 0.146 (0.189)	Loss 4.8891 (4.9908)	Prec@1 5.078 (4.816)	Prec@5 17.188 (16.407)
Epoch: [15][1930/7045]	Time 0.402 (0.252)	Data 0.351 (0.189)	Loss 5.0063 (4.9907)	Prec@1 4.688 (4.818)	Prec@5 16.406 (16.412)
Epoch: [15][1940/7045]	Time 0.280 (0.251)	Data 0.229 (0.189)	Loss 5.2000 (4.9911)	Prec@1 4.688 (4.813)	Prec@5 12.500 (16.398)
Epoch: [15][1950/7045]	Time 0.194 (0.251)	Data 0.142 (0.189)	Loss 4.8761 (4.9915)	Prec@1 5.078 (4.811)	Prec@5 17.188 (16.391)
Epoch: [15][1960/7045]	Time 0.477 (0.252)	Data 0.425 (0.189)	Loss 5.1030 (4.9917)	Prec@1 2.344 (4.806)	Prec@5 14.062 (16.383)
Epoch: [15][1970/7045]	Time 0.097 (0.251)	Data 0.001 (0.189)	Loss 4.9257 (4.9914)	Prec@1 5.469 (4.807)	Prec@5 19.141 (16.384)
Epoch: [15][1980/7045]	Time 0.297 (0.251)	Data 0.246 (0.189)	Loss 5.0214 (4.9916)	Prec@1 4.297 (4.804)	Prec@5 16.797 (16.376)
Epoch: [15][1990/7045]	Time 0.101 (0.252)	Data 0.001 (0.189)	Loss 5.0720 (4.9920)	Prec@1 4.297 (4.801)	Prec@5 14.844 (16.368)
Epoch: [15][2000/7045]	Time 0.637 (0.252)	Data 0.586 (0.189)	Loss 4.9316 (4.9922)	Prec@1 6.641 (4.799)	Prec@5 16.016 (16.360)
Epoch: [15][2010/7045]	Time 0.119 (0.251)	Data 0.067 (0.189)	Loss 5.0249 (4.9928)	Prec@1 5.469 (4.794)	Prec@5 12.891 (16.345)
Epoch: [15][2020/7045]	Time 0.410 (0.252)	Data 0.359 (0.189)	Loss 5.0720 (4.9928)	Prec@1 4.297 (4.792)	Prec@5 14.453 (16.340)
Epoch: [15][2030/7045]	Time 0.101 (0.252)	Data 0.015 (0.189)	Loss 4.9639 (4.9928)	Prec@1 5.859 (4.792)	Prec@5 16.016 (16.340)
Epoch: [15][2040/7045]	Time 0.101 (0.252)	Data 0.001 (0.189)	Loss 4.9762 (4.9930)	Prec@1 5.078 (4.789)	Prec@5 15.625 (16.337)
Epoch: [15][2050/7045]	Time 0.102 (0.251)	Data 0.051 (0.189)	Loss 4.9728 (4.9930)	Prec@1 5.859 (4.786)	Prec@5 16.016 (16.331)
Epoch: [15][2060/7045]	Time 0.361 (0.252)	Data 0.309 (0.189)	Loss 4.9766 (4.9933)	Prec@1 5.469 (4.785)	Prec@5 14.062 (16.326)
Epoch: [15][2070/7045]	Time 0.108 (0.251)	Data 0.004 (0.189)	Loss 5.0445 (4.9934)	Prec@1 4.688 (4.782)	Prec@5 13.672 (16.320)
Epoch: [15][2080/7045]	Time 0.646 (0.252)	Data 0.594 (0.189)	Loss 4.9965 (4.9936)	Prec@1 6.250 (4.780)	Prec@5 16.016 (16.318)
Epoch: [15][2090/7045]	Time 0.099 (0.251)	Data 0.046 (0.189)	Loss 4.9110 (4.9936)	Prec@1 6.250 (4.779)	Prec@5 19.141 (16.318)
Epoch: [15][2100/7045]	Time 0.608 (0.252)	Data 0.558 (0.189)	Loss 5.1239 (4.9939)	Prec@1 5.469 (4.779)	Prec@5 16.406 (16.316)
Epoch: [15][2110/7045]	Time 0.110 (0.251)	Data 0.059 (0.189)	Loss 4.9994 (4.9943)	Prec@1 6.250 (4.777)	Prec@5 17.188 (16.312)
Epoch: [15][2120/7045]	Time 0.420 (0.252)	Data 0.369 (0.189)	Loss 4.8743 (4.9944)	Prec@1 3.516 (4.775)	Prec@5 18.750 (16.311)
Epoch: [15][2130/7045]	Time 0.100 (0.251)	Data 0.010 (0.189)	Loss 5.2245 (4.9948)	Prec@1 1.562 (4.770)	Prec@5 13.281 (16.303)
Epoch: [15][2140/7045]	Time 0.149 (0.251)	Data 0.091 (0.189)	Loss 5.1046 (4.9950)	Prec@1 3.906 (4.768)	Prec@5 14.844 (16.299)
Epoch: [15][2150/7045]	Time 0.102 (0.251)	Data 0.001 (0.189)	Loss 5.1195 (4.9951)	Prec@1 2.734 (4.766)	Prec@5 15.234 (16.293)
Epoch: [15][2160/7045]	Time 0.125 (0.251)	Data 0.065 (0.189)	Loss 5.0966 (4.9955)	Prec@1 3.906 (4.762)	Prec@5 13.281 (16.285)
Epoch: [15][2170/7045]	Time 0.102 (0.251)	Data 0.001 (0.189)	Loss 5.0089 (4.9956)	Prec@1 3.516 (4.758)	Prec@5 17.969 (16.281)
Epoch: [15][2180/7045]	Time 0.110 (0.251)	Data 0.005 (0.189)	Loss 5.0998 (4.9957)	Prec@1 4.688 (4.758)	Prec@5 18.359 (16.282)
Epoch: [15][2190/7045]	Time 0.101 (0.251)	Data 0.050 (0.189)	Loss 4.9671 (4.9957)	Prec@1 4.297 (4.756)	Prec@5 21.094 (16.279)
Epoch: [15][2200/7045]	Time 0.101 (0.251)	Data 0.016 (0.189)	Loss 4.9470 (4.9955)	Prec@1 6.250 (4.758)	Prec@5 18.359 (16.286)
Epoch: [15][2210/7045]	Time 0.175 (0.251)	Data 0.124 (0.188)	Loss 4.9388 (4.9956)	Prec@1 3.906 (4.756)	Prec@5 15.234 (16.284)
Epoch: [15][2220/7045]	Time 0.139 (0.251)	Data 0.089 (0.189)	Loss 5.0146 (4.9957)	Prec@1 5.859 (4.757)	Prec@5 17.188 (16.282)
Epoch: [15][2230/7045]	Time 0.484 (0.251)	Data 0.433 (0.189)	Loss 4.9304 (4.9956)	Prec@1 6.250 (4.755)	Prec@5 18.750 (16.283)
Epoch: [15][2240/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 4.9257 (4.9954)	Prec@1 5.859 (4.756)	Prec@5 17.188 (16.289)
Epoch: [15][2250/7045]	Time 0.400 (0.251)	Data 0.349 (0.188)	Loss 4.9089 (4.9952)	Prec@1 6.641 (4.758)	Prec@5 18.750 (16.289)
Epoch: [15][2260/7045]	Time 0.274 (0.251)	Data 0.222 (0.189)	Loss 4.9177 (4.9950)	Prec@1 5.859 (4.757)	Prec@5 14.844 (16.291)
Epoch: [15][2270/7045]	Time 0.137 (0.251)	Data 0.087 (0.188)	Loss 4.9472 (4.9949)	Prec@1 5.469 (4.759)	Prec@5 11.719 (16.286)
Epoch: [15][2280/7045]	Time 0.218 (0.251)	Data 0.161 (0.189)	Loss 5.1552 (4.9953)	Prec@1 3.125 (4.755)	Prec@5 11.719 (16.273)
Epoch: [15][2290/7045]	Time 0.102 (0.251)	Data 0.005 (0.188)	Loss 5.1702 (4.9956)	Prec@1 7.812 (4.756)	Prec@5 14.062 (16.272)
Epoch: [15][2300/7045]	Time 0.426 (0.251)	Data 0.369 (0.189)	Loss 5.0876 (4.9957)	Prec@1 2.344 (4.750)	Prec@5 14.844 (16.270)
Epoch: [15][2310/7045]	Time 0.208 (0.251)	Data 0.157 (0.188)	Loss 5.1683 (4.9959)	Prec@1 4.297 (4.749)	Prec@5 10.547 (16.262)
Epoch: [15][2320/7045]	Time 0.392 (0.251)	Data 0.342 (0.189)	Loss 5.0195 (4.9961)	Prec@1 7.422 (4.746)	Prec@5 16.797 (16.253)
Epoch: [15][2330/7045]	Time 0.463 (0.251)	Data 0.412 (0.189)	Loss 4.8509 (4.9962)	Prec@1 3.906 (4.744)	Prec@5 20.703 (16.252)
Epoch: [15][2340/7045]	Time 0.135 (0.251)	Data 0.084 (0.188)	Loss 5.0081 (4.9962)	Prec@1 6.250 (4.745)	Prec@5 17.969 (16.256)
Epoch: [15][2350/7045]	Time 0.696 (0.251)	Data 0.645 (0.189)	Loss 5.1250 (4.9962)	Prec@1 3.906 (4.744)	Prec@5 17.578 (16.259)
Epoch: [15][2360/7045]	Time 0.092 (0.251)	Data 0.001 (0.188)	Loss 4.9861 (4.9962)	Prec@1 4.297 (4.741)	Prec@5 15.625 (16.255)
Epoch: [15][2370/7045]	Time 0.634 (0.251)	Data 0.580 (0.188)	Loss 5.0191 (4.9961)	Prec@1 5.469 (4.744)	Prec@5 16.016 (16.258)
Epoch: [15][2380/7045]	Time 0.306 (0.251)	Data 0.253 (0.188)	Loss 5.2342 (4.9961)	Prec@1 3.125 (4.746)	Prec@5 10.938 (16.259)
Epoch: [15][2390/7045]	Time 0.264 (0.251)	Data 0.214 (0.188)	Loss 5.1092 (4.9963)	Prec@1 3.125 (4.745)	Prec@5 12.109 (16.254)
Epoch: [15][2400/7045]	Time 0.102 (0.251)	Data 0.049 (0.188)	Loss 5.0551 (4.9965)	Prec@1 3.516 (4.742)	Prec@5 13.281 (16.248)
Epoch: [15][2410/7045]	Time 0.107 (0.251)	Data 0.001 (0.188)	Loss 5.0205 (4.9965)	Prec@1 4.297 (4.742)	Prec@5 12.500 (16.247)
Epoch: [15][2420/7045]	Time 0.391 (0.251)	Data 0.338 (0.188)	Loss 5.0025 (4.9965)	Prec@1 5.469 (4.741)	Prec@5 16.016 (16.247)
Epoch: [15][2430/7045]	Time 0.278 (0.251)	Data 0.227 (0.188)	Loss 5.0126 (4.9966)	Prec@1 4.688 (4.740)	Prec@5 13.281 (16.245)
Epoch: [15][2440/7045]	Time 0.100 (0.251)	Data 0.012 (0.188)	Loss 5.0709 (4.9964)	Prec@1 5.078 (4.741)	Prec@5 16.016 (16.250)
Epoch: [15][2450/7045]	Time 0.339 (0.251)	Data 0.288 (0.188)	Loss 5.0132 (4.9966)	Prec@1 5.859 (4.738)	Prec@5 21.094 (16.251)
Epoch: [15][2460/7045]	Time 0.163 (0.251)	Data 0.103 (0.188)	Loss 5.0419 (4.9965)	Prec@1 6.641 (4.741)	Prec@5 16.797 (16.256)
Epoch: [15][2470/7045]	Time 0.319 (0.251)	Data 0.268 (0.188)	Loss 4.9628 (4.9966)	Prec@1 5.078 (4.743)	Prec@5 16.016 (16.257)
Epoch: [15][2480/7045]	Time 0.225 (0.251)	Data 0.165 (0.188)	Loss 4.9278 (4.9966)	Prec@1 4.297 (4.741)	Prec@5 18.359 (16.256)
Epoch: [15][2490/7045]	Time 0.158 (0.251)	Data 0.106 (0.188)	Loss 4.9376 (4.9966)	Prec@1 7.422 (4.744)	Prec@5 17.578 (16.254)
Epoch: [15][2500/7045]	Time 0.282 (0.251)	Data 0.231 (0.188)	Loss 4.9856 (4.9968)	Prec@1 6.641 (4.742)	Prec@5 17.969 (16.256)
Epoch: [15][2510/7045]	Time 0.184 (0.251)	Data 0.132 (0.188)	Loss 5.0476 (4.9970)	Prec@1 3.516 (4.741)	Prec@5 12.109 (16.252)
Epoch: [15][2520/7045]	Time 0.306 (0.251)	Data 0.256 (0.188)	Loss 5.0194 (4.9972)	Prec@1 2.734 (4.740)	Prec@5 15.234 (16.246)
Epoch: [15][2530/7045]	Time 0.102 (0.251)	Data 0.016 (0.188)	Loss 4.9568 (4.9971)	Prec@1 3.516 (4.741)	Prec@5 20.312 (16.250)
Epoch: [15][2540/7045]	Time 0.256 (0.251)	Data 0.204 (0.188)	Loss 5.0039 (4.9973)	Prec@1 4.297 (4.741)	Prec@5 15.234 (16.247)
Epoch: [15][2550/7045]	Time 0.397 (0.251)	Data 0.346 (0.188)	Loss 4.8826 (4.9972)	Prec@1 5.859 (4.740)	Prec@5 19.141 (16.247)
Epoch: [15][2560/7045]	Time 0.232 (0.251)	Data 0.180 (0.188)	Loss 5.1501 (4.9975)	Prec@1 2.734 (4.739)	Prec@5 17.578 (16.244)
Epoch: [15][2570/7045]	Time 0.376 (0.251)	Data 0.324 (0.188)	Loss 5.1673 (4.9977)	Prec@1 2.344 (4.738)	Prec@5 14.453 (16.240)
Epoch: [15][2580/7045]	Time 0.158 (0.251)	Data 0.106 (0.188)	Loss 4.9896 (4.9977)	Prec@1 3.125 (4.738)	Prec@5 19.922 (16.244)
Epoch: [15][2590/7045]	Time 0.177 (0.251)	Data 0.124 (0.188)	Loss 4.9967 (4.9977)	Prec@1 5.469 (4.739)	Prec@5 17.188 (16.245)
Epoch: [15][2600/7045]	Time 0.145 (0.251)	Data 0.093 (0.188)	Loss 4.9603 (4.9976)	Prec@1 3.906 (4.741)	Prec@5 16.406 (16.248)
Epoch: [15][2610/7045]	Time 0.100 (0.251)	Data 0.048 (0.188)	Loss 5.0062 (4.9976)	Prec@1 3.906 (4.742)	Prec@5 16.016 (16.249)
Epoch: [15][2620/7045]	Time 0.340 (0.251)	Data 0.289 (0.188)	Loss 4.8688 (4.9974)	Prec@1 3.906 (4.743)	Prec@5 16.797 (16.251)
Epoch: [15][2630/7045]	Time 0.109 (0.251)	Data 0.001 (0.188)	Loss 5.0551 (4.9975)	Prec@1 3.516 (4.740)	Prec@5 17.188 (16.249)
Epoch: [15][2640/7045]	Time 0.577 (0.251)	Data 0.520 (0.188)	Loss 4.9504 (4.9974)	Prec@1 3.125 (4.739)	Prec@5 17.578 (16.249)
Epoch: [15][2650/7045]	Time 0.108 (0.251)	Data 0.001 (0.188)	Loss 4.9224 (4.9975)	Prec@1 4.688 (4.740)	Prec@5 19.141 (16.250)
Epoch: [15][2660/7045]	Time 0.510 (0.251)	Data 0.459 (0.188)	Loss 4.9697 (4.9976)	Prec@1 5.859 (4.741)	Prec@5 17.188 (16.249)
Epoch: [15][2670/7045]	Time 0.183 (0.250)	Data 0.131 (0.188)	Loss 5.0694 (4.9978)	Prec@1 5.859 (4.739)	Prec@5 13.672 (16.243)
Epoch: [15][2680/7045]	Time 0.515 (0.251)	Data 0.464 (0.188)	Loss 5.0975 (4.9979)	Prec@1 3.516 (4.737)	Prec@5 14.453 (16.240)
Epoch: [15][2690/7045]	Time 0.101 (0.250)	Data 0.015 (0.188)	Loss 5.1014 (4.9982)	Prec@1 3.906 (4.737)	Prec@5 15.625 (16.236)
Epoch: [15][2700/7045]	Time 0.612 (0.251)	Data 0.561 (0.188)	Loss 5.1836 (4.9984)	Prec@1 3.125 (4.733)	Prec@5 13.672 (16.231)
Epoch: [15][2710/7045]	Time 0.101 (0.250)	Data 0.001 (0.188)	Loss 5.1602 (4.9987)	Prec@1 4.688 (4.732)	Prec@5 15.234 (16.228)
Epoch: [15][2720/7045]	Time 0.596 (0.250)	Data 0.545 (0.188)	Loss 4.8318 (4.9986)	Prec@1 6.641 (4.732)	Prec@5 16.016 (16.226)
Epoch: [15][2730/7045]	Time 0.110 (0.250)	Data 0.001 (0.188)	Loss 4.9629 (4.9985)	Prec@1 5.078 (4.733)	Prec@5 15.625 (16.226)
Epoch: [15][2740/7045]	Time 0.713 (0.250)	Data 0.655 (0.188)	Loss 5.0098 (4.9986)	Prec@1 4.297 (4.733)	Prec@5 14.062 (16.227)
Epoch: [15][2750/7045]	Time 0.110 (0.250)	Data 0.058 (0.187)	Loss 5.0315 (4.9987)	Prec@1 5.469 (4.732)	Prec@5 15.625 (16.226)
Epoch: [15][2760/7045]	Time 0.459 (0.250)	Data 0.408 (0.187)	Loss 4.9656 (4.9989)	Prec@1 4.297 (4.731)	Prec@5 16.797 (16.218)
Epoch: [15][2770/7045]	Time 0.106 (0.250)	Data 0.054 (0.187)	Loss 4.9002 (4.9988)	Prec@1 6.250 (4.730)	Prec@5 19.141 (16.220)
Epoch: [15][2780/7045]	Time 0.276 (0.250)	Data 0.224 (0.187)	Loss 5.0093 (4.9988)	Prec@1 5.469 (4.730)	Prec@5 15.234 (16.221)
Epoch: [15][2790/7045]	Time 0.123 (0.250)	Data 0.070 (0.187)	Loss 4.9818 (4.9989)	Prec@1 4.688 (4.728)	Prec@5 16.406 (16.219)
Epoch: [15][2800/7045]	Time 0.120 (0.250)	Data 0.068 (0.187)	Loss 5.1633 (4.9991)	Prec@1 5.078 (4.727)	Prec@5 14.062 (16.216)
Epoch: [15][2810/7045]	Time 0.183 (0.250)	Data 0.131 (0.187)	Loss 5.0935 (4.9990)	Prec@1 3.906 (4.729)	Prec@5 12.891 (16.217)
Epoch: [15][2820/7045]	Time 0.329 (0.250)	Data 0.278 (0.187)	Loss 4.9226 (4.9989)	Prec@1 4.688 (4.729)	Prec@5 16.797 (16.214)
Epoch: [15][2830/7045]	Time 0.119 (0.250)	Data 0.067 (0.187)	Loss 4.8592 (4.9987)	Prec@1 6.641 (4.731)	Prec@5 17.578 (16.218)
Epoch: [15][2840/7045]	Time 0.100 (0.250)	Data 0.001 (0.188)	Loss 4.9744 (4.9986)	Prec@1 5.469 (4.733)	Prec@5 16.016 (16.221)
Epoch: [15][2850/7045]	Time 0.101 (0.250)	Data 0.001 (0.187)	Loss 5.0556 (4.9988)	Prec@1 4.297 (4.730)	Prec@5 17.188 (16.219)
Epoch: [15][2860/7045]	Time 0.102 (0.250)	Data 0.015 (0.187)	Loss 4.9091 (4.9987)	Prec@1 5.469 (4.728)	Prec@5 17.969 (16.222)
Epoch: [15][2870/7045]	Time 0.102 (0.250)	Data 0.049 (0.187)	Loss 4.8973 (4.9985)	Prec@1 4.297 (4.728)	Prec@5 15.234 (16.222)
Epoch: [15][2880/7045]	Time 0.102 (0.250)	Data 0.051 (0.187)	Loss 5.0746 (4.9985)	Prec@1 4.297 (4.726)	Prec@5 18.359 (16.221)
Epoch: [15][2890/7045]	Time 0.237 (0.250)	Data 0.184 (0.187)	Loss 4.9850 (4.9986)	Prec@1 5.078 (4.725)	Prec@5 16.797 (16.222)
Epoch: [15][2900/7045]	Time 0.330 (0.250)	Data 0.280 (0.187)	Loss 5.2832 (4.9992)	Prec@1 3.906 (4.720)	Prec@5 14.453 (16.208)
Epoch: [15][2910/7045]	Time 0.429 (0.250)	Data 0.378 (0.187)	Loss 5.0510 (4.9996)	Prec@1 5.859 (4.720)	Prec@5 16.016 (16.199)
Epoch: [15][2920/7045]	Time 0.216 (0.250)	Data 0.164 (0.187)	Loss 5.1031 (5.0000)	Prec@1 4.688 (4.719)	Prec@5 13.672 (16.193)
Epoch: [15][2930/7045]	Time 0.116 (0.250)	Data 0.065 (0.187)	Loss 4.9624 (5.0000)	Prec@1 3.906 (4.720)	Prec@5 16.406 (16.192)
Epoch: [15][2940/7045]	Time 0.374 (0.250)	Data 0.323 (0.187)	Loss 4.8305 (4.9999)	Prec@1 6.250 (4.721)	Prec@5 17.578 (16.192)
Epoch: [15][2950/7045]	Time 0.131 (0.250)	Data 0.078 (0.187)	Loss 5.0223 (5.0000)	Prec@1 2.734 (4.718)	Prec@5 14.844 (16.191)
Epoch: [15][2960/7045]	Time 0.230 (0.250)	Data 0.180 (0.187)	Loss 4.9513 (5.0000)	Prec@1 6.641 (4.717)	Prec@5 12.891 (16.188)
Epoch: [15][2970/7045]	Time 0.121 (0.250)	Data 0.069 (0.187)	Loss 4.8875 (4.9998)	Prec@1 4.688 (4.715)	Prec@5 16.797 (16.192)
Epoch: [15][2980/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 5.0771 (4.9998)	Prec@1 5.078 (4.714)	Prec@5 12.891 (16.192)
Epoch: [15][2990/7045]	Time 0.622 (0.250)	Data 0.570 (0.187)	Loss 5.0010 (4.9999)	Prec@1 5.859 (4.714)	Prec@5 17.188 (16.192)
Epoch: [15][3000/7045]	Time 0.106 (0.250)	Data 0.055 (0.187)	Loss 4.9894 (4.9999)	Prec@1 6.250 (4.712)	Prec@5 14.844 (16.193)
Epoch: [15][3010/7045]	Time 0.458 (0.250)	Data 0.408 (0.187)	Loss 4.9799 (5.0000)	Prec@1 4.297 (4.713)	Prec@5 19.531 (16.192)
Epoch: [15][3020/7045]	Time 0.313 (0.250)	Data 0.263 (0.187)	Loss 5.0557 (5.0002)	Prec@1 4.297 (4.710)	Prec@5 15.625 (16.187)
Epoch: [15][3030/7045]	Time 0.230 (0.250)	Data 0.179 (0.187)	Loss 5.0867 (5.0006)	Prec@1 3.516 (4.708)	Prec@5 13.672 (16.177)
Epoch: [15][3040/7045]	Time 0.443 (0.250)	Data 0.392 (0.187)	Loss 4.9746 (5.0007)	Prec@1 5.859 (4.709)	Prec@5 18.750 (16.175)
Epoch: [15][3050/7045]	Time 0.100 (0.250)	Data 0.001 (0.187)	Loss 5.0922 (5.0010)	Prec@1 4.297 (4.707)	Prec@5 13.281 (16.171)
Epoch: [15][3060/7045]	Time 0.576 (0.250)	Data 0.518 (0.187)	Loss 4.9852 (5.0011)	Prec@1 5.078 (4.707)	Prec@5 16.406 (16.173)
Epoch: [15][3070/7045]	Time 0.108 (0.250)	Data 0.001 (0.187)	Loss 5.0554 (5.0012)	Prec@1 4.297 (4.707)	Prec@5 17.188 (16.172)
Epoch: [15][3080/7045]	Time 0.629 (0.250)	Data 0.578 (0.187)	Loss 5.0089 (5.0013)	Prec@1 7.812 (4.707)	Prec@5 17.188 (16.168)
Epoch: [15][3090/7045]	Time 0.101 (0.250)	Data 0.048 (0.187)	Loss 5.1198 (5.0016)	Prec@1 3.906 (4.706)	Prec@5 11.719 (16.166)
Epoch: [15][3100/7045]	Time 0.640 (0.250)	Data 0.589 (0.187)	Loss 5.1196 (5.0017)	Prec@1 3.906 (4.706)	Prec@5 14.844 (16.166)
Epoch: [15][3110/7045]	Time 0.102 (0.250)	Data 0.050 (0.187)	Loss 5.0316 (5.0017)	Prec@1 3.125 (4.704)	Prec@5 16.016 (16.166)
Epoch: [15][3120/7045]	Time 0.448 (0.250)	Data 0.395 (0.187)	Loss 4.9705 (5.0017)	Prec@1 4.297 (4.704)	Prec@5 15.625 (16.165)
Epoch: [15][3130/7045]	Time 0.101 (0.250)	Data 0.050 (0.187)	Loss 5.0677 (5.0017)	Prec@1 3.516 (4.703)	Prec@5 18.359 (16.167)
Epoch: [15][3140/7045]	Time 0.433 (0.250)	Data 0.381 (0.188)	Loss 4.9835 (5.0017)	Prec@1 7.031 (4.702)	Prec@5 16.797 (16.167)
Epoch: [15][3150/7045]	Time 0.102 (0.250)	Data 0.002 (0.187)	Loss 4.9459 (5.0016)	Prec@1 3.516 (4.701)	Prec@5 15.234 (16.166)
Epoch: [15][3160/7045]	Time 0.165 (0.250)	Data 0.113 (0.188)	Loss 4.8298 (5.0012)	Prec@1 7.031 (4.702)	Prec@5 19.141 (16.170)
Epoch: [15][3170/7045]	Time 0.102 (0.250)	Data 0.006 (0.187)	Loss 5.1223 (5.0011)	Prec@1 5.078 (4.702)	Prec@5 12.891 (16.169)
Epoch: [15][3180/7045]	Time 0.102 (0.250)	Data 0.001 (0.188)	Loss 4.9787 (5.0011)	Prec@1 3.906 (4.702)	Prec@5 14.844 (16.169)
Epoch: [15][3190/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 4.9909 (5.0010)	Prec@1 5.469 (4.703)	Prec@5 16.406 (16.171)
Epoch: [15][3200/7045]	Time 0.101 (0.250)	Data 0.002 (0.187)	Loss 4.8051 (5.0009)	Prec@1 5.078 (4.706)	Prec@5 18.750 (16.173)
Epoch: [15][3210/7045]	Time 0.102 (0.250)	Data 0.048 (0.187)	Loss 4.8982 (5.0007)	Prec@1 4.688 (4.706)	Prec@5 17.578 (16.176)
Epoch: [15][3220/7045]	Time 0.108 (0.250)	Data 0.013 (0.187)	Loss 4.9082 (5.0008)	Prec@1 4.688 (4.707)	Prec@5 18.750 (16.174)
Epoch: [15][3230/7045]	Time 0.225 (0.250)	Data 0.175 (0.187)	Loss 5.0566 (5.0007)	Prec@1 1.953 (4.707)	Prec@5 12.500 (16.174)
Epoch: [15][3240/7045]	Time 0.100 (0.250)	Data 0.009 (0.187)	Loss 5.1727 (5.0008)	Prec@1 3.906 (4.706)	Prec@5 16.016 (16.173)
Epoch: [15][3250/7045]	Time 0.108 (0.250)	Data 0.056 (0.187)	Loss 5.0987 (5.0011)	Prec@1 3.125 (4.705)	Prec@5 14.844 (16.168)
Epoch: [15][3260/7045]	Time 0.134 (0.250)	Data 0.083 (0.187)	Loss 4.9650 (5.0013)	Prec@1 4.688 (4.704)	Prec@5 17.188 (16.164)
Epoch: [15][3270/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 5.0810 (5.0013)	Prec@1 3.516 (4.703)	Prec@5 13.672 (16.163)
Epoch: [15][3280/7045]	Time 0.134 (0.250)	Data 0.083 (0.188)	Loss 4.9596 (5.0012)	Prec@1 3.516 (4.703)	Prec@5 16.797 (16.164)
Epoch: [15][3290/7045]	Time 0.108 (0.251)	Data 0.001 (0.188)	Loss 5.0390 (5.0014)	Prec@1 5.859 (4.703)	Prec@5 17.578 (16.164)
Epoch: [15][3300/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 5.0005 (5.0014)	Prec@1 3.906 (4.703)	Prec@5 16.016 (16.166)
Epoch: [15][3310/7045]	Time 0.191 (0.251)	Data 0.139 (0.188)	Loss 5.1695 (5.0014)	Prec@1 2.344 (4.701)	Prec@5 14.844 (16.167)
Epoch: [15][3320/7045]	Time 0.268 (0.250)	Data 0.218 (0.187)	Loss 5.0351 (5.0014)	Prec@1 2.344 (4.701)	Prec@5 12.891 (16.165)
Epoch: [15][3330/7045]	Time 0.263 (0.250)	Data 0.205 (0.188)	Loss 5.0663 (5.0014)	Prec@1 4.297 (4.699)	Prec@5 11.719 (16.163)
Epoch: [15][3340/7045]	Time 0.272 (0.250)	Data 0.220 (0.188)	Loss 5.0361 (5.0013)	Prec@1 3.516 (4.697)	Prec@5 14.062 (16.162)
Epoch: [15][3350/7045]	Time 0.105 (0.250)	Data 0.054 (0.188)	Loss 4.8609 (5.0013)	Prec@1 7.422 (4.697)	Prec@5 19.922 (16.161)
Epoch: [15][3360/7045]	Time 0.166 (0.250)	Data 0.113 (0.188)	Loss 4.9943 (5.0013)	Prec@1 4.297 (4.698)	Prec@5 17.969 (16.161)
Epoch: [15][3370/7045]	Time 0.102 (0.250)	Data 0.004 (0.187)	Loss 4.9243 (5.0012)	Prec@1 3.516 (4.698)	Prec@5 15.625 (16.165)
Epoch: [15][3380/7045]	Time 0.101 (0.251)	Data 0.045 (0.188)	Loss 4.8959 (5.0009)	Prec@1 4.297 (4.698)	Prec@5 17.188 (16.168)
Epoch: [15][3390/7045]	Time 0.101 (0.250)	Data 0.001 (0.188)	Loss 4.9896 (5.0008)	Prec@1 3.125 (4.698)	Prec@5 14.453 (16.170)
Epoch: [15][3400/7045]	Time 0.101 (0.251)	Data 0.007 (0.188)	Loss 4.9010 (5.0009)	Prec@1 6.641 (4.700)	Prec@5 15.625 (16.169)
Epoch: [15][3410/7045]	Time 0.121 (0.250)	Data 0.070 (0.187)	Loss 5.0262 (5.0008)	Prec@1 5.859 (4.701)	Prec@5 17.969 (16.173)
Epoch: [15][3420/7045]	Time 0.253 (0.251)	Data 0.202 (0.188)	Loss 4.9817 (5.0006)	Prec@1 1.953 (4.704)	Prec@5 10.156 (16.175)
Epoch: [15][3430/7045]	Time 0.178 (0.251)	Data 0.127 (0.188)	Loss 4.9227 (5.0005)	Prec@1 4.297 (4.705)	Prec@5 18.359 (16.176)
Epoch: [15][3440/7045]	Time 0.427 (0.251)	Data 0.376 (0.188)	Loss 5.1297 (5.0006)	Prec@1 4.297 (4.705)	Prec@5 13.672 (16.175)
Epoch: [15][3450/7045]	Time 0.098 (0.251)	Data 0.018 (0.188)	Loss 5.1600 (5.0009)	Prec@1 3.516 (4.704)	Prec@5 17.578 (16.172)
Epoch: [15][3460/7045]	Time 0.599 (0.251)	Data 0.547 (0.188)	Loss 4.8809 (5.0008)	Prec@1 6.250 (4.704)	Prec@5 19.141 (16.171)
Epoch: [15][3470/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 5.0277 (5.0007)	Prec@1 5.469 (4.706)	Prec@5 17.969 (16.176)
Epoch: [15][3480/7045]	Time 0.446 (0.251)	Data 0.394 (0.188)	Loss 4.8890 (5.0007)	Prec@1 5.469 (4.703)	Prec@5 18.750 (16.175)
Epoch: [15][3490/7045]	Time 0.103 (0.251)	Data 0.012 (0.188)	Loss 4.8607 (5.0007)	Prec@1 7.031 (4.703)	Prec@5 20.312 (16.173)
Epoch: [15][3500/7045]	Time 0.401 (0.251)	Data 0.341 (0.188)	Loss 5.1399 (5.0008)	Prec@1 4.688 (4.703)	Prec@5 15.234 (16.172)
Epoch: [15][3510/7045]	Time 0.103 (0.251)	Data 0.017 (0.188)	Loss 5.0082 (5.0011)	Prec@1 5.859 (4.702)	Prec@5 15.234 (16.168)
Epoch: [15][3520/7045]	Time 0.101 (0.251)	Data 0.005 (0.188)	Loss 5.0716 (5.0012)	Prec@1 1.953 (4.701)	Prec@5 11.328 (16.166)
Epoch: [15][3530/7045]	Time 0.101 (0.251)	Data 0.020 (0.188)	Loss 5.0575 (5.0012)	Prec@1 3.516 (4.701)	Prec@5 15.625 (16.167)
Epoch: [15][3540/7045]	Time 0.103 (0.251)	Data 0.051 (0.188)	Loss 4.8636 (5.0012)	Prec@1 5.078 (4.702)	Prec@5 17.969 (16.168)
Epoch: [15][3550/7045]	Time 0.452 (0.251)	Data 0.401 (0.188)	Loss 4.9158 (5.0011)	Prec@1 4.297 (4.702)	Prec@5 20.312 (16.172)
Epoch: [15][3560/7045]	Time 0.109 (0.251)	Data 0.057 (0.188)	Loss 5.0244 (5.0009)	Prec@1 4.688 (4.702)	Prec@5 17.578 (16.175)
Epoch: [15][3570/7045]	Time 0.500 (0.251)	Data 0.449 (0.188)	Loss 4.9525 (5.0009)	Prec@1 7.422 (4.703)	Prec@5 18.359 (16.173)
Epoch: [15][3580/7045]	Time 0.111 (0.251)	Data 0.001 (0.188)	Loss 4.9804 (5.0008)	Prec@1 6.250 (4.704)	Prec@5 21.094 (16.174)
Epoch: [15][3590/7045]	Time 0.833 (0.251)	Data 0.770 (0.188)	Loss 4.8333 (5.0007)	Prec@1 6.250 (4.706)	Prec@5 21.484 (16.178)
Epoch: [15][3600/7045]	Time 0.110 (0.251)	Data 0.001 (0.188)	Loss 4.9696 (5.0006)	Prec@1 7.031 (4.708)	Prec@5 18.750 (16.180)
Epoch: [15][3610/7045]	Time 0.613 (0.251)	Data 0.555 (0.188)	Loss 5.0704 (5.0005)	Prec@1 5.859 (4.708)	Prec@5 16.016 (16.181)
Epoch: [15][3620/7045]	Time 0.110 (0.251)	Data 0.060 (0.188)	Loss 4.9543 (5.0007)	Prec@1 3.906 (4.708)	Prec@5 17.188 (16.179)
Epoch: [15][3630/7045]	Time 0.690 (0.251)	Data 0.639 (0.188)	Loss 5.1100 (5.0008)	Prec@1 3.906 (4.708)	Prec@5 12.500 (16.174)
Epoch: [15][3640/7045]	Time 0.101 (0.252)	Data 0.001 (0.189)	Loss 4.9802 (5.0009)	Prec@1 3.906 (4.707)	Prec@5 15.625 (16.169)
Epoch: [15][3650/7045]	Time 0.669 (0.252)	Data 0.610 (0.189)	Loss 5.0923 (5.0012)	Prec@1 5.469 (4.708)	Prec@5 14.453 (16.168)
Epoch: [15][3660/7045]	Time 0.109 (0.252)	Data 0.001 (0.189)	Loss 4.9131 (5.0014)	Prec@1 5.078 (4.707)	Prec@5 17.578 (16.163)
Epoch: [15][3670/7045]	Time 0.565 (0.252)	Data 0.513 (0.189)	Loss 4.9674 (5.0014)	Prec@1 3.125 (4.705)	Prec@5 13.672 (16.161)
Epoch: [15][3680/7045]	Time 0.102 (0.252)	Data 0.001 (0.189)	Loss 4.9231 (5.0014)	Prec@1 2.734 (4.703)	Prec@5 13.672 (16.161)
Epoch: [15][3690/7045]	Time 0.436 (0.252)	Data 0.386 (0.189)	Loss 5.0253 (5.0013)	Prec@1 2.344 (4.703)	Prec@5 12.500 (16.162)
Epoch: [15][3700/7045]	Time 0.268 (0.252)	Data 0.210 (0.189)	Loss 4.9607 (5.0011)	Prec@1 4.688 (4.705)	Prec@5 17.578 (16.166)
Epoch: [15][3710/7045]	Time 1.410 (0.252)	Data 1.357 (0.189)	Loss 5.0633 (5.0011)	Prec@1 4.688 (4.704)	Prec@5 14.062 (16.166)
Epoch: [15][3720/7045]	Time 0.368 (0.252)	Data 0.317 (0.189)	Loss 5.1119 (5.0012)	Prec@1 2.344 (4.704)	Prec@5 14.453 (16.164)
Epoch: [15][3730/7045]	Time 0.108 (0.252)	Data 0.005 (0.189)	Loss 5.0810 (5.0013)	Prec@1 5.078 (4.704)	Prec@5 14.062 (16.162)
Epoch: [15][3740/7045]	Time 0.239 (0.252)	Data 0.188 (0.189)	Loss 5.1228 (5.0013)	Prec@1 4.688 (4.705)	Prec@5 18.359 (16.164)
Epoch: [15][3750/7045]	Time 0.101 (0.252)	Data 0.001 (0.189)	Loss 5.0510 (5.0012)	Prec@1 5.859 (4.707)	Prec@5 18.359 (16.166)
Epoch: [15][3760/7045]	Time 0.365 (0.252)	Data 0.314 (0.189)	Loss 5.0288 (5.0012)	Prec@1 4.688 (4.710)	Prec@5 14.844 (16.167)
Epoch: [15][3770/7045]	Time 0.102 (0.252)	Data 0.001 (0.189)	Loss 4.9948 (5.0011)	Prec@1 3.906 (4.711)	Prec@5 18.359 (16.170)
Epoch: [15][3780/7045]	Time 0.100 (0.252)	Data 0.015 (0.189)	Loss 5.0176 (5.0011)	Prec@1 4.297 (4.712)	Prec@5 16.406 (16.172)
Epoch: [15][3790/7045]	Time 0.101 (0.252)	Data 0.045 (0.189)	Loss 4.8160 (5.0010)	Prec@1 5.859 (4.713)	Prec@5 16.797 (16.175)
Epoch: [15][3800/7045]	Time 0.102 (0.252)	Data 0.023 (0.189)	Loss 5.0639 (5.0010)	Prec@1 3.125 (4.713)	Prec@5 15.625 (16.176)
Epoch: [15][3810/7045]	Time 0.228 (0.253)	Data 0.177 (0.189)	Loss 5.0488 (5.0008)	Prec@1 4.688 (4.714)	Prec@5 14.453 (16.179)
Epoch: [15][3820/7045]	Time 0.114 (0.253)	Data 0.062 (0.189)	Loss 5.0410 (5.0008)	Prec@1 4.297 (4.716)	Prec@5 16.406 (16.181)
Epoch: [15][3830/7045]	Time 0.107 (0.253)	Data 0.056 (0.189)	Loss 5.0992 (5.0007)	Prec@1 4.688 (4.716)	Prec@5 13.672 (16.184)
Epoch: [15][3840/7045]	Time 0.102 (0.253)	Data 0.012 (0.189)	Loss 4.9507 (5.0005)	Prec@1 6.250 (4.719)	Prec@5 14.062 (16.186)
Epoch: [15][3850/7045]	Time 0.349 (0.253)	Data 0.299 (0.190)	Loss 5.0546 (5.0005)	Prec@1 7.031 (4.719)	Prec@5 20.312 (16.188)
Epoch: [15][3860/7045]	Time 0.257 (0.253)	Data 0.198 (0.189)	Loss 5.0181 (5.0005)	Prec@1 3.125 (4.718)	Prec@5 15.234 (16.188)
Epoch: [15][3870/7045]	Time 0.392 (0.253)	Data 0.340 (0.189)	Loss 5.0231 (5.0006)	Prec@1 3.516 (4.717)	Prec@5 16.406 (16.185)
Epoch: [15][3880/7045]	Time 0.104 (0.253)	Data 0.045 (0.190)	Loss 4.9848 (5.0004)	Prec@1 4.688 (4.716)	Prec@5 16.016 (16.185)
Epoch: [15][3890/7045]	Time 0.514 (0.253)	Data 0.464 (0.190)	Loss 5.0649 (5.0005)	Prec@1 2.344 (4.716)	Prec@5 14.453 (16.183)
Epoch: [15][3900/7045]	Time 0.143 (0.253)	Data 0.092 (0.190)	Loss 4.8212 (5.0004)	Prec@1 5.859 (4.716)	Prec@5 17.188 (16.187)
Epoch: [15][3910/7045]	Time 0.693 (0.253)	Data 0.634 (0.190)	Loss 4.9023 (5.0003)	Prec@1 3.125 (4.715)	Prec@5 14.844 (16.188)
Epoch: [15][3920/7045]	Time 0.127 (0.253)	Data 0.070 (0.190)	Loss 4.9658 (5.0002)	Prec@1 5.469 (4.715)	Prec@5 15.234 (16.188)
Epoch: [15][3930/7045]	Time 0.584 (0.253)	Data 0.533 (0.190)	Loss 4.9837 (5.0001)	Prec@1 3.906 (4.716)	Prec@5 17.188 (16.190)
Epoch: [15][3940/7045]	Time 0.109 (0.253)	Data 0.058 (0.190)	Loss 4.9589 (5.0002)	Prec@1 5.469 (4.716)	Prec@5 20.703 (16.189)
Epoch: [15][3950/7045]	Time 0.128 (0.253)	Data 0.077 (0.190)	Loss 4.9814 (5.0003)	Prec@1 5.469 (4.716)	Prec@5 17.188 (16.190)
Epoch: [15][3960/7045]	Time 0.124 (0.253)	Data 0.072 (0.190)	Loss 4.9462 (5.0003)	Prec@1 4.297 (4.717)	Prec@5 19.531 (16.189)
Epoch: [15][3970/7045]	Time 0.300 (0.253)	Data 0.249 (0.190)	Loss 4.9096 (5.0002)	Prec@1 1.953 (4.715)	Prec@5 14.844 (16.190)
Epoch: [15][3980/7045]	Time 0.100 (0.253)	Data 0.048 (0.190)	Loss 4.8917 (5.0001)	Prec@1 4.297 (4.716)	Prec@5 17.969 (16.191)
Epoch: [15][3990/7045]	Time 0.582 (0.253)	Data 0.531 (0.190)	Loss 4.9134 (5.0001)	Prec@1 5.469 (4.715)	Prec@5 16.016 (16.190)
Epoch: [15][4000/7045]	Time 0.334 (0.253)	Data 0.275 (0.190)	Loss 4.9524 (5.0000)	Prec@1 5.078 (4.714)	Prec@5 14.844 (16.190)
Epoch: [15][4010/7045]	Time 0.400 (0.253)	Data 0.349 (0.190)	Loss 5.0704 (4.9999)	Prec@1 3.906 (4.715)	Prec@5 16.016 (16.191)
Epoch: [15][4020/7045]	Time 0.571 (0.253)	Data 0.521 (0.190)	Loss 4.7716 (4.9999)	Prec@1 7.812 (4.714)	Prec@5 21.484 (16.190)
Epoch: [15][4030/7045]	Time 0.106 (0.253)	Data 0.052 (0.190)	Loss 4.9615 (4.9998)	Prec@1 5.859 (4.716)	Prec@5 16.797 (16.192)
Epoch: [15][4040/7045]	Time 0.498 (0.253)	Data 0.448 (0.190)	Loss 5.1555 (4.9998)	Prec@1 3.906 (4.715)	Prec@5 15.234 (16.191)
Epoch: [15][4050/7045]	Time 0.239 (0.253)	Data 0.187 (0.190)	Loss 5.0850 (4.9998)	Prec@1 5.859 (4.714)	Prec@5 17.578 (16.188)
Epoch: [15][4060/7045]	Time 0.183 (0.253)	Data 0.132 (0.190)	Loss 5.1007 (4.9998)	Prec@1 2.344 (4.713)	Prec@5 12.500 (16.187)
Epoch: [15][4070/7045]	Time 0.188 (0.254)	Data 0.129 (0.191)	Loss 5.2270 (5.0000)	Prec@1 3.125 (4.711)	Prec@5 12.500 (16.184)
Epoch: [15][4080/7045]	Time 0.701 (0.254)	Data 0.650 (0.191)	Loss 5.0904 (5.0000)	Prec@1 5.859 (4.710)	Prec@5 15.234 (16.180)
Epoch: [15][4090/7045]	Time 0.102 (0.254)	Data 0.006 (0.191)	Loss 5.1551 (5.0000)	Prec@1 4.297 (4.712)	Prec@5 14.062 (16.181)
Epoch: [15][4100/7045]	Time 0.500 (0.254)	Data 0.449 (0.191)	Loss 5.0926 (5.0001)	Prec@1 5.859 (4.712)	Prec@5 15.625 (16.180)
Epoch: [15][4110/7045]	Time 0.440 (0.254)	Data 0.383 (0.191)	Loss 5.0575 (5.0001)	Prec@1 4.297 (4.713)	Prec@5 13.672 (16.180)
Epoch: [15][4120/7045]	Time 0.110 (0.254)	Data 0.001 (0.191)	Loss 5.0107 (5.0003)	Prec@1 4.688 (4.712)	Prec@5 16.406 (16.176)
Epoch: [15][4130/7045]	Time 0.603 (0.254)	Data 0.552 (0.191)	Loss 4.9070 (5.0003)	Prec@1 3.125 (4.711)	Prec@5 17.188 (16.175)
Epoch: [15][4140/7045]	Time 0.241 (0.254)	Data 0.190 (0.191)	Loss 4.9720 (5.0003)	Prec@1 5.078 (4.713)	Prec@5 12.891 (16.177)
Epoch: [15][4150/7045]	Time 0.616 (0.254)	Data 0.565 (0.191)	Loss 4.9986 (5.0003)	Prec@1 3.906 (4.713)	Prec@5 19.531 (16.175)
Epoch: [15][4160/7045]	Time 0.102 (0.254)	Data 0.001 (0.191)	Loss 5.0896 (5.0002)	Prec@1 3.906 (4.712)	Prec@5 16.016 (16.172)
Epoch: [15][4170/7045]	Time 0.428 (0.254)	Data 0.377 (0.191)	Loss 5.0761 (5.0003)	Prec@1 4.297 (4.710)	Prec@5 16.797 (16.173)
Epoch: [15][4180/7045]	Time 0.109 (0.254)	Data 0.001 (0.191)	Loss 4.8972 (5.0002)	Prec@1 6.250 (4.712)	Prec@5 14.062 (16.176)
Epoch: [15][4190/7045]	Time 0.560 (0.254)	Data 0.509 (0.191)	Loss 5.0440 (5.0001)	Prec@1 5.469 (4.712)	Prec@5 15.234 (16.178)
Epoch: [15][4200/7045]	Time 0.133 (0.254)	Data 0.082 (0.191)	Loss 4.9126 (5.0000)	Prec@1 4.297 (4.712)	Prec@5 18.359 (16.180)
Epoch: [15][4210/7045]	Time 0.669 (0.254)	Data 0.617 (0.191)	Loss 5.0259 (5.0000)	Prec@1 3.516 (4.712)	Prec@5 14.453 (16.180)
Epoch: [15][4220/7045]	Time 0.111 (0.254)	Data 0.001 (0.191)	Loss 4.9625 (5.0001)	Prec@1 6.641 (4.712)	Prec@5 17.969 (16.179)
Epoch: [15][4230/7045]	Time 0.673 (0.254)	Data 0.616 (0.191)	Loss 5.0785 (5.0000)	Prec@1 4.297 (4.712)	Prec@5 16.406 (16.178)
Epoch: [15][4240/7045]	Time 0.097 (0.254)	Data 0.001 (0.191)	Loss 5.0729 (5.0000)	Prec@1 1.953 (4.711)	Prec@5 12.109 (16.177)
Epoch: [15][4250/7045]	Time 0.424 (0.254)	Data 0.372 (0.191)	Loss 5.0270 (5.0001)	Prec@1 3.125 (4.710)	Prec@5 14.453 (16.175)
Epoch: [15][4260/7045]	Time 0.101 (0.254)	Data 0.010 (0.191)	Loss 5.0354 (5.0001)	Prec@1 4.688 (4.709)	Prec@5 14.844 (16.171)
Epoch: [15][4270/7045]	Time 0.641 (0.254)	Data 0.582 (0.191)	Loss 5.0786 (5.0001)	Prec@1 3.125 (4.706)	Prec@5 16.406 (16.172)
Epoch: [15][4280/7045]	Time 0.102 (0.254)	Data 0.003 (0.191)	Loss 4.8815 (5.0001)	Prec@1 3.906 (4.707)	Prec@5 17.188 (16.173)
Epoch: [15][4290/7045]	Time 0.568 (0.254)	Data 0.517 (0.191)	Loss 5.1467 (5.0001)	Prec@1 4.688 (4.708)	Prec@5 14.062 (16.172)
Epoch: [15][4300/7045]	Time 0.102 (0.254)	Data 0.001 (0.191)	Loss 5.0368 (5.0001)	Prec@1 5.078 (4.709)	Prec@5 17.969 (16.173)
Epoch: [15][4310/7045]	Time 1.485 (0.254)	Data 1.433 (0.191)	Loss 5.1662 (5.0002)	Prec@1 6.250 (4.709)	Prec@5 12.109 (16.172)
Epoch: [15][4320/7045]	Time 0.108 (0.254)	Data 0.001 (0.191)	Loss 4.9915 (5.0003)	Prec@1 6.641 (4.710)	Prec@5 15.625 (16.170)
Epoch: [15][4330/7045]	Time 0.205 (0.254)	Data 0.154 (0.191)	Loss 5.0322 (5.0003)	Prec@1 4.297 (4.710)	Prec@5 12.891 (16.171)
Epoch: [15][4340/7045]	Time 0.368 (0.254)	Data 0.316 (0.191)	Loss 4.9496 (5.0003)	Prec@1 6.641 (4.710)	Prec@5 16.797 (16.171)
Epoch: [15][4350/7045]	Time 0.567 (0.254)	Data 0.516 (0.191)	Loss 5.0402 (5.0003)	Prec@1 4.297 (4.711)	Prec@5 16.406 (16.174)
Epoch: [15][4360/7045]	Time 0.139 (0.254)	Data 0.088 (0.191)	Loss 5.1120 (5.0004)	Prec@1 4.688 (4.712)	Prec@5 15.625 (16.172)
Epoch: [15][4370/7045]	Time 0.285 (0.254)	Data 0.233 (0.191)	Loss 5.0609 (5.0005)	Prec@1 4.297 (4.712)	Prec@5 16.406 (16.174)
Epoch: [15][4380/7045]	Time 0.727 (0.254)	Data 0.671 (0.191)	Loss 4.9973 (5.0005)	Prec@1 5.078 (4.713)	Prec@5 18.359 (16.175)
Epoch: [15][4390/7045]	Time 0.108 (0.254)	Data 0.001 (0.191)	Loss 5.0293 (5.0005)	Prec@1 3.906 (4.713)	Prec@5 16.797 (16.174)
Epoch: [15][4400/7045]	Time 0.536 (0.254)	Data 0.486 (0.191)	Loss 5.1158 (5.0007)	Prec@1 3.125 (4.714)	Prec@5 13.672 (16.171)
Epoch: [15][4410/7045]	Time 0.102 (0.254)	Data 0.016 (0.191)	Loss 5.1966 (5.0009)	Prec@1 3.906 (4.713)	Prec@5 11.328 (16.167)
Epoch: [15][4420/7045]	Time 0.432 (0.254)	Data 0.380 (0.191)	Loss 4.9792 (5.0010)	Prec@1 4.297 (4.712)	Prec@5 15.625 (16.166)
Epoch: [15][4430/7045]	Time 0.315 (0.254)	Data 0.262 (0.191)	Loss 4.8687 (5.0009)	Prec@1 4.688 (4.713)	Prec@5 16.406 (16.167)
Epoch: [15][4440/7045]	Time 0.316 (0.254)	Data 0.266 (0.191)	Loss 4.9945 (5.0010)	Prec@1 6.641 (4.714)	Prec@5 14.062 (16.165)
Epoch: [15][4450/7045]	Time 0.335 (0.254)	Data 0.284 (0.191)	Loss 4.8505 (5.0010)	Prec@1 4.297 (4.714)	Prec@5 17.578 (16.166)
Epoch: [15][4460/7045]	Time 0.502 (0.254)	Data 0.443 (0.191)	Loss 5.0226 (5.0011)	Prec@1 2.734 (4.714)	Prec@5 15.234 (16.165)
Epoch: [15][4470/7045]	Time 0.326 (0.254)	Data 0.273 (0.191)	Loss 5.0736 (5.0012)	Prec@1 3.516 (4.713)	Prec@5 15.625 (16.161)
Epoch: [15][4480/7045]	Time 0.265 (0.254)	Data 0.213 (0.191)	Loss 4.9440 (5.0012)	Prec@1 3.906 (4.714)	Prec@5 20.703 (16.164)
Epoch: [15][4490/7045]	Time 0.240 (0.255)	Data 0.188 (0.192)	Loss 5.1020 (5.0013)	Prec@1 2.734 (4.714)	Prec@5 17.188 (16.162)
Epoch: [15][4500/7045]	Time 0.285 (0.255)	Data 0.225 (0.192)	Loss 4.8933 (5.0013)	Prec@1 5.469 (4.713)	Prec@5 14.844 (16.161)
Epoch: [15][4510/7045]	Time 0.417 (0.255)	Data 0.361 (0.192)	Loss 5.1715 (5.0014)	Prec@1 3.906 (4.714)	Prec@5 15.625 (16.161)
Epoch: [15][4520/7045]	Time 0.309 (0.255)	Data 0.247 (0.192)	Loss 5.0454 (5.0014)	Prec@1 4.297 (4.714)	Prec@5 16.406 (16.160)
Epoch: [15][4530/7045]	Time 0.630 (0.255)	Data 0.579 (0.192)	Loss 4.8782 (5.0013)	Prec@1 6.250 (4.713)	Prec@5 15.625 (16.159)
Epoch: [15][4540/7045]	Time 0.099 (0.255)	Data 0.001 (0.192)	Loss 5.0788 (5.0014)	Prec@1 7.031 (4.713)	Prec@5 16.406 (16.159)
Epoch: [15][4550/7045]	Time 0.693 (0.255)	Data 0.642 (0.192)	Loss 4.9890 (5.0015)	Prec@1 6.250 (4.712)	Prec@5 17.578 (16.158)
Epoch: [15][4560/7045]	Time 0.243 (0.255)	Data 0.190 (0.192)	Loss 4.9937 (5.0017)	Prec@1 6.250 (4.712)	Prec@5 15.625 (16.155)
Epoch: [15][4570/7045]	Time 0.497 (0.255)	Data 0.439 (0.192)	Loss 4.9570 (5.0017)	Prec@1 5.859 (4.711)	Prec@5 17.969 (16.155)
Epoch: [15][4580/7045]	Time 0.102 (0.255)	Data 0.046 (0.192)	Loss 4.8706 (5.0017)	Prec@1 5.859 (4.711)	Prec@5 18.359 (16.155)
Epoch: [15][4590/7045]	Time 0.487 (0.255)	Data 0.434 (0.192)	Loss 5.0795 (5.0017)	Prec@1 4.688 (4.710)	Prec@5 14.453 (16.153)
Epoch: [15][4600/7045]	Time 0.155 (0.255)	Data 0.104 (0.192)	Loss 5.0893 (5.0016)	Prec@1 2.344 (4.710)	Prec@5 15.234 (16.155)
Epoch: [15][4610/7045]	Time 0.352 (0.255)	Data 0.295 (0.192)	Loss 5.0326 (5.0016)	Prec@1 4.688 (4.710)	Prec@5 14.062 (16.154)
Epoch: [15][4620/7045]	Time 0.335 (0.255)	Data 0.284 (0.192)	Loss 5.0927 (5.0017)	Prec@1 4.688 (4.710)	Prec@5 14.453 (16.152)
Epoch: [15][4630/7045]	Time 0.472 (0.255)	Data 0.419 (0.192)	Loss 4.9638 (5.0017)	Prec@1 5.469 (4.712)	Prec@5 18.359 (16.153)
Epoch: [15][4640/7045]	Time 0.154 (0.255)	Data 0.103 (0.192)	Loss 4.9895 (5.0016)	Prec@1 5.078 (4.712)	Prec@5 17.188 (16.156)
Epoch: [15][4650/7045]	Time 0.427 (0.255)	Data 0.376 (0.192)	Loss 5.1025 (5.0018)	Prec@1 6.641 (4.710)	Prec@5 13.281 (16.151)
Epoch: [15][4660/7045]	Time 0.101 (0.255)	Data 0.007 (0.192)	Loss 5.0845 (5.0020)	Prec@1 3.125 (4.708)	Prec@5 14.844 (16.148)
Epoch: [15][4670/7045]	Time 0.774 (0.255)	Data 0.723 (0.192)	Loss 4.9189 (5.0021)	Prec@1 6.250 (4.708)	Prec@5 16.797 (16.146)
Epoch: [15][4680/7045]	Time 0.101 (0.255)	Data 0.001 (0.192)	Loss 4.8878 (5.0021)	Prec@1 5.859 (4.707)	Prec@5 18.359 (16.144)
Epoch: [15][4690/7045]	Time 0.516 (0.255)	Data 0.464 (0.192)	Loss 5.0412 (5.0023)	Prec@1 3.906 (4.705)	Prec@5 16.016 (16.141)
Epoch: [15][4700/7045]	Time 0.101 (0.255)	Data 0.005 (0.192)	Loss 4.9384 (5.0023)	Prec@1 3.516 (4.704)	Prec@5 13.672 (16.141)
Epoch: [15][4710/7045]	Time 0.584 (0.255)	Data 0.528 (0.192)	Loss 4.9459 (5.0023)	Prec@1 5.078 (4.705)	Prec@5 17.578 (16.140)
Epoch: [15][4720/7045]	Time 0.099 (0.255)	Data 0.001 (0.192)	Loss 4.9947 (5.0023)	Prec@1 3.516 (4.705)	Prec@5 18.359 (16.140)
Epoch: [15][4730/7045]	Time 0.583 (0.255)	Data 0.525 (0.192)	Loss 5.1178 (5.0023)	Prec@1 4.297 (4.703)	Prec@5 16.797 (16.139)
Epoch: [15][4740/7045]	Time 0.110 (0.255)	Data 0.057 (0.192)	Loss 5.0297 (5.0024)	Prec@1 2.344 (4.702)	Prec@5 13.281 (16.139)
Epoch: [15][4750/7045]	Time 0.701 (0.255)	Data 0.649 (0.192)	Loss 5.0799 (5.0025)	Prec@1 4.297 (4.702)	Prec@5 14.062 (16.137)
Epoch: [15][4760/7045]	Time 0.102 (0.255)	Data 0.001 (0.192)	Loss 5.1041 (5.0026)	Prec@1 3.906 (4.700)	Prec@5 14.062 (16.137)
Epoch: [15][4770/7045]	Time 0.392 (0.255)	Data 0.340 (0.192)	Loss 5.0632 (5.0027)	Prec@1 4.297 (4.700)	Prec@5 12.891 (16.133)
Epoch: [15][4780/7045]	Time 0.118 (0.256)	Data 0.066 (0.193)	Loss 5.1258 (5.0030)	Prec@1 6.250 (4.699)	Prec@5 15.234 (16.129)
Epoch: [15][4790/7045]	Time 0.424 (0.256)	Data 0.374 (0.193)	Loss 5.1325 (5.0032)	Prec@1 5.469 (4.697)	Prec@5 16.016 (16.126)
Epoch: [15][4800/7045]	Time 0.112 (0.256)	Data 0.061 (0.192)	Loss 5.1711 (5.0034)	Prec@1 2.734 (4.697)	Prec@5 10.156 (16.122)
Epoch: [15][4810/7045]	Time 0.459 (0.256)	Data 0.406 (0.192)	Loss 4.9928 (5.0035)	Prec@1 5.078 (4.696)	Prec@5 13.672 (16.120)
Epoch: [15][4820/7045]	Time 0.134 (0.256)	Data 0.082 (0.192)	Loss 4.8985 (5.0034)	Prec@1 5.859 (4.697)	Prec@5 17.578 (16.123)
Epoch: [15][4830/7045]	Time 0.914 (0.256)	Data 0.863 (0.193)	Loss 5.1920 (5.0034)	Prec@1 5.469 (4.697)	Prec@5 14.453 (16.121)
Epoch: [15][4840/7045]	Time 0.171 (0.256)	Data 0.120 (0.193)	Loss 4.9411 (5.0034)	Prec@1 5.859 (4.696)	Prec@5 18.359 (16.119)
Epoch: [15][4850/7045]	Time 0.568 (0.256)	Data 0.517 (0.193)	Loss 5.0803 (5.0035)	Prec@1 2.344 (4.696)	Prec@5 16.406 (16.118)
Epoch: [15][4860/7045]	Time 0.100 (0.256)	Data 0.008 (0.192)	Loss 4.8435 (5.0035)	Prec@1 7.422 (4.696)	Prec@5 21.484 (16.117)
Epoch: [15][4870/7045]	Time 2.680 (0.256)	Data 2.629 (0.193)	Loss 4.9782 (5.0035)	Prec@1 5.859 (4.697)	Prec@5 17.578 (16.120)
Epoch: [15][4880/7045]	Time 0.138 (0.256)	Data 0.086 (0.193)	Loss 5.0715 (5.0035)	Prec@1 6.250 (4.698)	Prec@5 15.234 (16.118)
Epoch: [15][4890/7045]	Time 0.136 (0.256)	Data 0.085 (0.193)	Loss 5.0372 (5.0036)	Prec@1 4.297 (4.697)	Prec@5 16.406 (16.117)
Epoch: [15][4900/7045]	Time 0.108 (0.256)	Data 0.001 (0.193)	Loss 5.1430 (5.0036)	Prec@1 3.516 (4.697)	Prec@5 13.672 (16.117)
Epoch: [15][4910/7045]	Time 0.487 (0.256)	Data 0.434 (0.193)	Loss 5.1001 (5.0037)	Prec@1 2.734 (4.696)	Prec@5 12.891 (16.117)
Epoch: [15][4920/7045]	Time 0.236 (0.256)	Data 0.185 (0.193)	Loss 4.9338 (5.0037)	Prec@1 5.469 (4.696)	Prec@5 17.578 (16.117)
Epoch: [15][4930/7045]	Time 0.311 (0.256)	Data 0.261 (0.193)	Loss 4.9883 (5.0036)	Prec@1 2.734 (4.696)	Prec@5 15.234 (16.120)
Epoch: [15][4940/7045]	Time 0.382 (0.257)	Data 0.324 (0.193)	Loss 4.9887 (5.0037)	Prec@1 5.859 (4.697)	Prec@5 12.891 (16.119)
Epoch: [15][4950/7045]	Time 0.433 (0.257)	Data 0.382 (0.193)	Loss 4.9309 (5.0038)	Prec@1 3.516 (4.696)	Prec@5 17.578 (16.117)
Epoch: [15][4960/7045]	Time 0.147 (0.257)	Data 0.094 (0.193)	Loss 5.0783 (5.0037)	Prec@1 5.859 (4.696)	Prec@5 16.406 (16.117)
Epoch: [15][4970/7045]	Time 0.118 (0.257)	Data 0.065 (0.193)	Loss 4.8556 (5.0037)	Prec@1 6.641 (4.697)	Prec@5 18.359 (16.116)
Epoch: [15][4980/7045]	Time 0.133 (0.257)	Data 0.082 (0.193)	Loss 5.0866 (5.0037)	Prec@1 4.297 (4.697)	Prec@5 16.016 (16.120)
Epoch: [15][4990/7045]	Time 0.098 (0.257)	Data 0.045 (0.193)	Loss 5.0969 (5.0037)	Prec@1 4.297 (4.696)	Prec@5 15.234 (16.118)
Epoch: [15][5000/7045]	Time 0.116 (0.257)	Data 0.056 (0.193)	Loss 4.9336 (5.0037)	Prec@1 6.641 (4.697)	Prec@5 16.016 (16.119)
Epoch: [15][5010/7045]	Time 0.099 (0.257)	Data 0.046 (0.193)	Loss 5.0040 (5.0037)	Prec@1 5.469 (4.698)	Prec@5 14.844 (16.118)
Epoch: [15][5020/7045]	Time 0.102 (0.257)	Data 0.001 (0.194)	Loss 5.0255 (5.0037)	Prec@1 3.125 (4.698)	Prec@5 15.625 (16.119)
Epoch: [15][5030/7045]	Time 0.248 (0.257)	Data 0.196 (0.193)	Loss 4.9829 (5.0037)	Prec@1 2.734 (4.698)	Prec@5 15.625 (16.120)
Epoch: [15][5040/7045]	Time 0.102 (0.257)	Data 0.001 (0.193)	Loss 4.9536 (5.0036)	Prec@1 7.031 (4.699)	Prec@5 19.141 (16.123)
Epoch: [15][5050/7045]	Time 0.121 (0.257)	Data 0.070 (0.193)	Loss 4.9774 (5.0036)	Prec@1 5.078 (4.699)	Prec@5 15.625 (16.123)
Epoch: [15][5060/7045]	Time 0.273 (0.257)	Data 0.222 (0.193)	Loss 4.9647 (5.0036)	Prec@1 5.859 (4.700)	Prec@5 19.531 (16.123)
Epoch: [15][5070/7045]	Time 0.118 (0.257)	Data 0.067 (0.193)	Loss 5.0439 (5.0036)	Prec@1 3.906 (4.700)	Prec@5 14.453 (16.122)
Epoch: [15][5080/7045]	Time 0.511 (0.257)	Data 0.450 (0.193)	Loss 5.1311 (5.0036)	Prec@1 3.906 (4.702)	Prec@5 14.844 (16.124)
Epoch: [15][5090/7045]	Time 0.109 (0.257)	Data 0.056 (0.193)	Loss 4.9687 (5.0036)	Prec@1 5.859 (4.702)	Prec@5 18.359 (16.123)
Epoch: [15][5100/7045]	Time 0.194 (0.257)	Data 0.141 (0.193)	Loss 4.9011 (5.0036)	Prec@1 4.297 (4.702)	Prec@5 22.656 (16.124)
Epoch: [15][5110/7045]	Time 0.106 (0.257)	Data 0.053 (0.193)	Loss 5.0215 (5.0036)	Prec@1 6.250 (4.703)	Prec@5 17.578 (16.125)
Epoch: [15][5120/7045]	Time 0.183 (0.257)	Data 0.132 (0.193)	Loss 5.0020 (5.0035)	Prec@1 5.078 (4.704)	Prec@5 14.844 (16.128)
Epoch: [15][5130/7045]	Time 0.100 (0.257)	Data 0.001 (0.193)	Loss 4.8393 (5.0035)	Prec@1 5.859 (4.705)	Prec@5 19.531 (16.127)
Epoch: [15][5140/7045]	Time 0.103 (0.257)	Data 0.050 (0.193)	Loss 4.9543 (5.0033)	Prec@1 6.250 (4.706)	Prec@5 17.188 (16.129)
Epoch: [15][5150/7045]	Time 0.101 (0.257)	Data 0.018 (0.193)	Loss 5.1199 (5.0032)	Prec@1 2.734 (4.706)	Prec@5 15.234 (16.133)
Epoch: [15][5160/7045]	Time 0.169 (0.257)	Data 0.118 (0.194)	Loss 4.9758 (5.0031)	Prec@1 3.125 (4.705)	Prec@5 16.016 (16.132)
Epoch: [15][5170/7045]	Time 0.121 (0.257)	Data 0.069 (0.194)	Loss 4.9925 (5.0031)	Prec@1 1.953 (4.703)	Prec@5 17.188 (16.131)
Epoch: [15][5180/7045]	Time 0.130 (0.257)	Data 0.079 (0.194)	Loss 4.9022 (5.0030)	Prec@1 5.469 (4.703)	Prec@5 16.797 (16.133)
Epoch: [15][5190/7045]	Time 0.689 (0.257)	Data 0.637 (0.194)	Loss 5.0389 (5.0030)	Prec@1 5.469 (4.705)	Prec@5 16.797 (16.136)
Epoch: [15][5200/7045]	Time 0.231 (0.257)	Data 0.181 (0.194)	Loss 5.0141 (5.0030)	Prec@1 4.297 (4.704)	Prec@5 14.453 (16.134)
Epoch: [15][5210/7045]	Time 0.471 (0.257)	Data 0.409 (0.194)	Loss 5.0510 (5.0030)	Prec@1 3.906 (4.703)	Prec@5 11.719 (16.132)
Epoch: [15][5220/7045]	Time 0.111 (0.257)	Data 0.060 (0.194)	Loss 5.0880 (5.0029)	Prec@1 3.906 (4.703)	Prec@5 16.016 (16.134)
Epoch: [15][5230/7045]	Time 0.375 (0.257)	Data 0.323 (0.194)	Loss 4.9066 (5.0029)	Prec@1 6.250 (4.703)	Prec@5 17.188 (16.134)
Epoch: [15][5240/7045]	Time 0.103 (0.257)	Data 0.001 (0.194)	Loss 4.8528 (5.0029)	Prec@1 4.688 (4.703)	Prec@5 18.359 (16.135)
Epoch: [15][5250/7045]	Time 0.613 (0.257)	Data 0.561 (0.194)	Loss 4.8748 (5.0029)	Prec@1 3.906 (4.702)	Prec@5 17.969 (16.135)
Epoch: [15][5260/7045]	Time 0.101 (0.257)	Data 0.016 (0.194)	Loss 4.9010 (5.0029)	Prec@1 5.078 (4.703)	Prec@5 18.750 (16.137)
Epoch: [15][5270/7045]	Time 0.168 (0.257)	Data 0.116 (0.194)	Loss 5.0474 (5.0029)	Prec@1 5.859 (4.703)	Prec@5 16.406 (16.133)
Epoch: [15][5280/7045]	Time 0.101 (0.257)	Data 0.011 (0.194)	Loss 4.9516 (5.0029)	Prec@1 5.859 (4.704)	Prec@5 16.797 (16.133)
Epoch: [15][5290/7045]	Time 0.102 (0.257)	Data 0.011 (0.194)	Loss 4.9197 (5.0028)	Prec@1 5.859 (4.704)	Prec@5 15.625 (16.134)
Epoch: [15][5300/7045]	Time 0.101 (0.257)	Data 0.011 (0.194)	Loss 4.9420 (5.0028)	Prec@1 6.250 (4.705)	Prec@5 19.531 (16.133)
Epoch: [15][5310/7045]	Time 0.238 (0.257)	Data 0.186 (0.194)	Loss 5.1480 (5.0029)	Prec@1 3.906 (4.706)	Prec@5 14.844 (16.134)
Epoch: [15][5320/7045]	Time 0.104 (0.257)	Data 0.012 (0.194)	Loss 4.8819 (5.0028)	Prec@1 6.250 (4.705)	Prec@5 16.016 (16.134)
Epoch: [15][5330/7045]	Time 0.481 (0.257)	Data 0.423 (0.194)	Loss 5.0406 (5.0028)	Prec@1 5.078 (4.706)	Prec@5 17.188 (16.136)
Epoch: [15][5340/7045]	Time 0.130 (0.257)	Data 0.080 (0.194)	Loss 4.9875 (5.0028)	Prec@1 6.641 (4.707)	Prec@5 17.969 (16.135)
Epoch: [15][5350/7045]	Time 0.294 (0.257)	Data 0.244 (0.194)	Loss 5.1353 (5.0028)	Prec@1 4.297 (4.706)	Prec@5 17.578 (16.134)
Epoch: [15][5360/7045]	Time 0.162 (0.257)	Data 0.110 (0.194)	Loss 4.9016 (5.0028)	Prec@1 7.812 (4.706)	Prec@5 19.922 (16.134)
Epoch: [15][5370/7045]	Time 0.207 (0.257)	Data 0.156 (0.194)	Loss 4.9169 (5.0026)	Prec@1 4.297 (4.708)	Prec@5 18.750 (16.138)
Epoch: [15][5380/7045]	Time 0.101 (0.258)	Data 0.007 (0.195)	Loss 4.9650 (5.0026)	Prec@1 3.125 (4.709)	Prec@5 12.109 (16.138)
Epoch: [15][5390/7045]	Time 0.159 (0.258)	Data 0.108 (0.195)	Loss 4.7523 (5.0025)	Prec@1 8.594 (4.709)	Prec@5 21.094 (16.138)
Epoch: [15][5400/7045]	Time 0.184 (0.258)	Data 0.133 (0.195)	Loss 4.8998 (5.0025)	Prec@1 7.031 (4.710)	Prec@5 19.922 (16.138)
Epoch: [15][5410/7045]	Time 0.193 (0.258)	Data 0.143 (0.195)	Loss 4.9788 (5.0025)	Prec@1 4.297 (4.710)	Prec@5 18.359 (16.138)
Epoch: [15][5420/7045]	Time 0.118 (0.258)	Data 0.067 (0.195)	Loss 4.9522 (5.0025)	Prec@1 3.906 (4.711)	Prec@5 17.969 (16.138)
Epoch: [15][5430/7045]	Time 0.103 (0.258)	Data 0.053 (0.195)	Loss 4.8302 (5.0024)	Prec@1 3.906 (4.709)	Prec@5 22.656 (16.138)
Epoch: [15][5440/7045]	Time 0.137 (0.258)	Data 0.086 (0.195)	Loss 5.0488 (5.0024)	Prec@1 5.859 (4.709)	Prec@5 16.797 (16.138)
Epoch: [15][5450/7045]	Time 0.101 (0.258)	Data 0.005 (0.195)	Loss 5.0438 (5.0024)	Prec@1 5.469 (4.708)	Prec@5 17.188 (16.136)
Epoch: [15][5460/7045]	Time 0.318 (0.258)	Data 0.267 (0.195)	Loss 5.0388 (5.0024)	Prec@1 3.906 (4.708)	Prec@5 18.750 (16.138)
Epoch: [15][5470/7045]	Time 0.479 (0.258)	Data 0.428 (0.195)	Loss 4.8928 (5.0023)	Prec@1 4.297 (4.708)	Prec@5 15.625 (16.142)
Epoch: [15][5480/7045]	Time 0.167 (0.258)	Data 0.116 (0.195)	Loss 4.9827 (5.0023)	Prec@1 5.078 (4.708)	Prec@5 18.359 (16.145)
Epoch: [15][5490/7045]	Time 0.294 (0.258)	Data 0.242 (0.195)	Loss 4.9172 (5.0023)	Prec@1 4.297 (4.708)	Prec@5 16.797 (16.146)
Epoch: [15][5500/7045]	Time 0.164 (0.258)	Data 0.112 (0.195)	Loss 4.9078 (5.0022)	Prec@1 5.078 (4.709)	Prec@5 19.531 (16.149)
Epoch: [15][5510/7045]	Time 0.349 (0.258)	Data 0.297 (0.195)	Loss 4.9802 (5.0022)	Prec@1 4.297 (4.709)	Prec@5 16.797 (16.149)
Epoch: [15][5520/7045]	Time 0.130 (0.258)	Data 0.078 (0.195)	Loss 4.9873 (5.0023)	Prec@1 4.297 (4.708)	Prec@5 18.359 (16.149)
Epoch: [15][5530/7045]	Time 0.100 (0.258)	Data 0.005 (0.195)	Loss 5.1271 (5.0022)	Prec@1 3.906 (4.709)	Prec@5 12.500 (16.149)
Epoch: [15][5540/7045]	Time 0.102 (0.258)	Data 0.009 (0.195)	Loss 4.9028 (5.0022)	Prec@1 7.422 (4.708)	Prec@5 21.484 (16.148)
Epoch: [15][5550/7045]	Time 0.229 (0.258)	Data 0.170 (0.195)	Loss 4.9084 (5.0022)	Prec@1 5.078 (4.708)	Prec@5 19.922 (16.149)
Epoch: [15][5560/7045]	Time 0.102 (0.258)	Data 0.001 (0.195)	Loss 5.0029 (5.0022)	Prec@1 4.688 (4.709)	Prec@5 16.797 (16.150)
Epoch: [15][5570/7045]	Time 0.101 (0.258)	Data 0.001 (0.195)	Loss 5.0714 (5.0022)	Prec@1 6.250 (4.707)	Prec@5 17.578 (16.150)
Epoch: [15][5580/7045]	Time 0.108 (0.258)	Data 0.056 (0.195)	Loss 5.0851 (5.0021)	Prec@1 4.297 (4.708)	Prec@5 13.672 (16.151)
Epoch: [15][5590/7045]	Time 0.109 (0.258)	Data 0.001 (0.195)	Loss 4.8858 (5.0021)	Prec@1 5.078 (4.709)	Prec@5 20.312 (16.153)
Epoch: [15][5600/7045]	Time 0.528 (0.258)	Data 0.478 (0.195)	Loss 5.0180 (5.0021)	Prec@1 6.250 (4.709)	Prec@5 15.625 (16.154)
Epoch: [15][5610/7045]	Time 0.108 (0.258)	Data 0.011 (0.195)	Loss 5.1568 (5.0022)	Prec@1 3.906 (4.709)	Prec@5 12.500 (16.153)
Epoch: [15][5620/7045]	Time 0.651 (0.258)	Data 0.594 (0.195)	Loss 5.0033 (5.0023)	Prec@1 5.469 (4.708)	Prec@5 15.625 (16.150)
Epoch: [15][5630/7045]	Time 0.102 (0.258)	Data 0.001 (0.195)	Loss 5.0014 (5.0023)	Prec@1 4.688 (4.708)	Prec@5 16.797 (16.152)
Epoch: [15][5640/7045]	Time 0.546 (0.258)	Data 0.495 (0.195)	Loss 4.9573 (5.0022)	Prec@1 4.297 (4.708)	Prec@5 17.578 (16.153)
Epoch: [15][5650/7045]	Time 0.115 (0.258)	Data 0.065 (0.195)	Loss 4.8614 (5.0022)	Prec@1 4.688 (4.709)	Prec@5 17.578 (16.154)
Epoch: [15][5660/7045]	Time 0.616 (0.258)	Data 0.565 (0.195)	Loss 4.8420 (5.0021)	Prec@1 5.469 (4.709)	Prec@5 17.578 (16.157)
Epoch: [15][5670/7045]	Time 0.108 (0.258)	Data 0.056 (0.195)	Loss 4.9153 (5.0020)	Prec@1 5.469 (4.710)	Prec@5 17.578 (16.160)
Epoch: [15][5680/7045]	Time 0.679 (0.258)	Data 0.627 (0.195)	Loss 5.0730 (5.0019)	Prec@1 2.734 (4.710)	Prec@5 15.625 (16.161)
Epoch: [15][5690/7045]	Time 0.158 (0.258)	Data 0.107 (0.195)	Loss 4.7722 (5.0018)	Prec@1 5.859 (4.711)	Prec@5 18.750 (16.163)
Epoch: [15][5700/7045]	Time 0.427 (0.258)	Data 0.377 (0.195)	Loss 4.9560 (5.0016)	Prec@1 4.297 (4.712)	Prec@5 19.141 (16.167)
Epoch: [15][5710/7045]	Time 0.155 (0.258)	Data 0.104 (0.195)	Loss 5.0484 (5.0016)	Prec@1 4.297 (4.712)	Prec@5 14.844 (16.166)
Epoch: [15][5720/7045]	Time 0.207 (0.258)	Data 0.156 (0.195)	Loss 5.0523 (5.0016)	Prec@1 2.344 (4.712)	Prec@5 13.672 (16.166)
Epoch: [15][5730/7045]	Time 0.334 (0.258)	Data 0.282 (0.195)	Loss 5.0256 (5.0015)	Prec@1 4.688 (4.712)	Prec@5 16.406 (16.167)
Epoch: [15][5740/7045]	Time 0.151 (0.258)	Data 0.100 (0.195)	Loss 4.9353 (5.0015)	Prec@1 5.859 (4.713)	Prec@5 21.094 (16.170)
Epoch: [15][5750/7045]	Time 0.159 (0.258)	Data 0.106 (0.195)	Loss 4.9313 (5.0013)	Prec@1 5.469 (4.714)	Prec@5 16.406 (16.171)
Epoch: [15][5760/7045]	Time 0.102 (0.258)	Data 0.001 (0.195)	Loss 4.8834 (5.0012)	Prec@1 7.031 (4.714)	Prec@5 18.359 (16.172)
Epoch: [15][5770/7045]	Time 0.328 (0.258)	Data 0.277 (0.195)	Loss 5.0786 (5.0012)	Prec@1 4.297 (4.714)	Prec@5 18.359 (16.171)
Epoch: [15][5780/7045]	Time 0.101 (0.258)	Data 0.004 (0.195)	Loss 4.9507 (5.0012)	Prec@1 3.125 (4.714)	Prec@5 17.969 (16.172)
Epoch: [15][5790/7045]	Time 0.101 (0.258)	Data 0.046 (0.195)	Loss 5.1077 (5.0012)	Prec@1 4.297 (4.714)	Prec@5 14.844 (16.170)
Epoch: [15][5800/7045]	Time 0.227 (0.258)	Data 0.175 (0.195)	Loss 4.9317 (5.0012)	Prec@1 4.297 (4.713)	Prec@5 14.453 (16.168)
Epoch: [15][5810/7045]	Time 0.159 (0.258)	Data 0.107 (0.195)	Loss 4.9036 (5.0011)	Prec@1 3.516 (4.713)	Prec@5 16.797 (16.169)
Epoch: [15][5820/7045]	Time 0.401 (0.259)	Data 0.339 (0.196)	Loss 4.8200 (5.0010)	Prec@1 6.641 (4.714)	Prec@5 16.797 (16.172)
Epoch: [15][5830/7045]	Time 0.486 (0.259)	Data 0.434 (0.196)	Loss 5.0075 (5.0009)	Prec@1 3.516 (4.714)	Prec@5 17.188 (16.171)
Epoch: [15][5840/7045]	Time 0.440 (0.259)	Data 0.389 (0.196)	Loss 4.9349 (5.0009)	Prec@1 5.859 (4.715)	Prec@5 12.891 (16.172)
Epoch: [15][5850/7045]	Time 0.192 (0.258)	Data 0.141 (0.196)	Loss 4.9131 (5.0008)	Prec@1 6.641 (4.714)	Prec@5 18.359 (16.173)
Epoch: [15][5860/7045]	Time 0.425 (0.258)	Data 0.375 (0.196)	Loss 4.9184 (5.0008)	Prec@1 4.688 (4.714)	Prec@5 17.578 (16.173)
Epoch: [15][5870/7045]	Time 0.385 (0.258)	Data 0.335 (0.196)	Loss 5.1019 (5.0008)	Prec@1 4.688 (4.714)	Prec@5 14.844 (16.172)
Epoch: [15][5880/7045]	Time 0.228 (0.258)	Data 0.177 (0.196)	Loss 4.9911 (5.0008)	Prec@1 3.125 (4.714)	Prec@5 18.359 (16.173)
Epoch: [15][5890/7045]	Time 0.100 (0.258)	Data 0.017 (0.196)	Loss 4.8696 (5.0007)	Prec@1 7.031 (4.716)	Prec@5 19.141 (16.175)
Epoch: [15][5900/7045]	Time 0.141 (0.259)	Data 0.090 (0.196)	Loss 5.0474 (5.0005)	Prec@1 6.641 (4.717)	Prec@5 17.969 (16.178)
Epoch: [15][5910/7045]	Time 0.109 (0.259)	Data 0.001 (0.196)	Loss 5.1824 (5.0007)	Prec@1 3.906 (4.716)	Prec@5 14.062 (16.176)
Epoch: [15][5920/7045]	Time 0.179 (0.259)	Data 0.127 (0.196)	Loss 5.0314 (5.0008)	Prec@1 4.297 (4.715)	Prec@5 14.844 (16.175)
Epoch: [15][5930/7045]	Time 0.110 (0.259)	Data 0.001 (0.196)	Loss 5.1123 (5.0010)	Prec@1 3.516 (4.715)	Prec@5 13.672 (16.171)
Epoch: [15][5940/7045]	Time 0.120 (0.258)	Data 0.068 (0.195)	Loss 5.0422 (5.0011)	Prec@1 4.688 (4.714)	Prec@5 13.672 (16.169)
Epoch: [15][5950/7045]	Time 0.101 (0.258)	Data 0.001 (0.195)	Loss 4.9034 (5.0011)	Prec@1 6.641 (4.715)	Prec@5 20.312 (16.170)
Epoch: [15][5960/7045]	Time 0.154 (0.258)	Data 0.103 (0.195)	Loss 5.1208 (5.0012)	Prec@1 4.297 (4.715)	Prec@5 14.844 (16.167)
Epoch: [15][5970/7045]	Time 0.101 (0.259)	Data 0.002 (0.196)	Loss 5.0742 (5.0012)	Prec@1 3.906 (4.714)	Prec@5 15.234 (16.166)
Epoch: [15][5980/7045]	Time 0.105 (0.259)	Data 0.053 (0.195)	Loss 5.0446 (5.0013)	Prec@1 2.734 (4.713)	Prec@5 16.406 (16.164)
Epoch: [15][5990/7045]	Time 0.101 (0.258)	Data 0.002 (0.195)	Loss 4.9998 (5.0014)	Prec@1 4.297 (4.713)	Prec@5 14.062 (16.163)
Epoch: [15][6000/7045]	Time 0.109 (0.259)	Data 0.056 (0.195)	Loss 5.1217 (5.0014)	Prec@1 3.906 (4.713)	Prec@5 13.672 (16.163)
Epoch: [15][6010/7045]	Time 0.260 (0.258)	Data 0.209 (0.195)	Loss 5.1864 (5.0014)	Prec@1 4.297 (4.713)	Prec@5 10.938 (16.163)
Epoch: [15][6020/7045]	Time 0.195 (0.258)	Data 0.144 (0.195)	Loss 4.9875 (5.0014)	Prec@1 3.516 (4.713)	Prec@5 15.625 (16.162)
Epoch: [15][6030/7045]	Time 0.522 (0.259)	Data 0.471 (0.196)	Loss 5.0189 (5.0015)	Prec@1 3.516 (4.713)	Prec@5 14.062 (16.161)
Epoch: [15][6040/7045]	Time 0.137 (0.258)	Data 0.086 (0.195)	Loss 5.2261 (5.0016)	Prec@1 3.516 (4.712)	Prec@5 13.281 (16.160)
Epoch: [15][6050/7045]	Time 0.505 (0.259)	Data 0.455 (0.196)	Loss 4.9510 (5.0016)	Prec@1 6.250 (4.712)	Prec@5 19.141 (16.158)
Epoch: [15][6060/7045]	Time 0.147 (0.259)	Data 0.096 (0.196)	Loss 4.9386 (5.0017)	Prec@1 3.516 (4.711)	Prec@5 16.016 (16.158)
Epoch: [15][6070/7045]	Time 0.470 (0.259)	Data 0.417 (0.196)	Loss 4.8869 (5.0017)	Prec@1 5.859 (4.710)	Prec@5 18.359 (16.157)
Epoch: [15][6080/7045]	Time 0.108 (0.259)	Data 0.017 (0.195)	Loss 4.9114 (5.0017)	Prec@1 6.250 (4.710)	Prec@5 17.578 (16.157)
Epoch: [15][6090/7045]	Time 0.494 (0.259)	Data 0.442 (0.195)	Loss 4.9472 (5.0017)	Prec@1 5.469 (4.710)	Prec@5 16.406 (16.157)
Epoch: [15][6100/7045]	Time 0.157 (0.258)	Data 0.106 (0.195)	Loss 5.0768 (5.0017)	Prec@1 4.297 (4.711)	Prec@5 12.500 (16.157)
Epoch: [15][6110/7045]	Time 0.781 (0.259)	Data 0.730 (0.196)	Loss 5.1872 (5.0019)	Prec@1 5.859 (4.710)	Prec@5 14.062 (16.154)
Epoch: [15][6120/7045]	Time 0.166 (0.258)	Data 0.103 (0.195)	Loss 5.0022 (5.0020)	Prec@1 3.516 (4.710)	Prec@5 14.453 (16.152)
Epoch: [15][6130/7045]	Time 0.454 (0.259)	Data 0.396 (0.196)	Loss 4.9810 (5.0021)	Prec@1 7.031 (4.711)	Prec@5 19.531 (16.154)
Epoch: [15][6140/7045]	Time 0.228 (0.259)	Data 0.176 (0.196)	Loss 5.0355 (5.0020)	Prec@1 4.688 (4.710)	Prec@5 15.625 (16.153)
Epoch: [15][6150/7045]	Time 0.394 (0.259)	Data 0.342 (0.196)	Loss 5.0653 (5.0020)	Prec@1 2.734 (4.710)	Prec@5 12.891 (16.151)
Epoch: [15][6160/7045]	Time 0.450 (0.259)	Data 0.399 (0.196)	Loss 5.0559 (5.0020)	Prec@1 3.906 (4.711)	Prec@5 14.062 (16.151)
Epoch: [15][6170/7045]	Time 0.108 (0.259)	Data 0.055 (0.195)	Loss 5.0152 (5.0020)	Prec@1 3.516 (4.711)	Prec@5 14.062 (16.148)
Epoch: [15][6180/7045]	Time 0.743 (0.259)	Data 0.685 (0.195)	Loss 5.1263 (5.0020)	Prec@1 5.078 (4.711)	Prec@5 19.922 (16.149)
Epoch: [15][6190/7045]	Time 0.102 (0.258)	Data 0.001 (0.195)	Loss 4.8733 (5.0019)	Prec@1 6.250 (4.711)	Prec@5 18.750 (16.151)
Epoch: [15][6200/7045]	Time 0.646 (0.258)	Data 0.594 (0.195)	Loss 5.0464 (5.0019)	Prec@1 5.469 (4.711)	Prec@5 16.406 (16.152)
Epoch: [15][6210/7045]	Time 0.125 (0.259)	Data 0.074 (0.195)	Loss 5.0523 (5.0019)	Prec@1 7.031 (4.712)	Prec@5 17.188 (16.153)
Epoch: [15][6220/7045]	Time 0.599 (0.259)	Data 0.545 (0.196)	Loss 5.1267 (5.0019)	Prec@1 2.734 (4.712)	Prec@5 13.281 (16.153)
Epoch: [15][6230/7045]	Time 0.102 (0.259)	Data 0.001 (0.195)	Loss 4.9549 (5.0019)	Prec@1 6.250 (4.712)	Prec@5 17.578 (16.153)
Epoch: [15][6240/7045]	Time 0.732 (0.259)	Data 0.673 (0.195)	Loss 5.0606 (5.0019)	Prec@1 3.516 (4.712)	Prec@5 14.844 (16.153)
Epoch: [15][6250/7045]	Time 0.102 (0.259)	Data 0.001 (0.195)	Loss 5.1482 (5.0021)	Prec@1 3.906 (4.710)	Prec@5 15.625 (16.149)
Epoch: [15][6260/7045]	Time 0.642 (0.259)	Data 0.582 (0.195)	Loss 5.0258 (5.0023)	Prec@1 2.734 (4.709)	Prec@5 16.016 (16.146)
Epoch: [15][6270/7045]	Time 0.171 (0.258)	Data 0.118 (0.195)	Loss 5.0036 (5.0024)	Prec@1 3.125 (4.707)	Prec@5 13.672 (16.144)
Epoch: [15][6280/7045]	Time 1.665 (0.259)	Data 1.613 (0.195)	Loss 4.9456 (5.0023)	Prec@1 5.078 (4.708)	Prec@5 19.531 (16.146)
Epoch: [15][6290/7045]	Time 0.098 (0.259)	Data 0.001 (0.195)	Loss 4.9900 (5.0023)	Prec@1 5.078 (4.709)	Prec@5 18.359 (16.146)
Epoch: [15][6300/7045]	Time 0.678 (0.259)	Data 0.625 (0.195)	Loss 5.1018 (5.0024)	Prec@1 2.344 (4.708)	Prec@5 16.016 (16.142)
Epoch: [15][6310/7045]	Time 0.113 (0.259)	Data 0.062 (0.195)	Loss 5.0200 (5.0025)	Prec@1 5.469 (4.708)	Prec@5 16.406 (16.141)
Epoch: [15][6320/7045]	Time 0.642 (0.259)	Data 0.590 (0.195)	Loss 5.0802 (5.0025)	Prec@1 3.125 (4.708)	Prec@5 14.844 (16.141)
Epoch: [15][6330/7045]	Time 0.135 (0.259)	Data 0.083 (0.195)	Loss 4.9654 (5.0025)	Prec@1 4.688 (4.708)	Prec@5 16.797 (16.140)
Epoch: [15][6340/7045]	Time 0.613 (0.259)	Data 0.562 (0.195)	Loss 5.0167 (5.0026)	Prec@1 4.688 (4.707)	Prec@5 12.891 (16.137)
Epoch: [15][6350/7045]	Time 0.191 (0.258)	Data 0.131 (0.195)	Loss 5.0718 (5.0027)	Prec@1 5.859 (4.707)	Prec@5 19.141 (16.139)
Epoch: [15][6360/7045]	Time 0.548 (0.259)	Data 0.497 (0.195)	Loss 4.9705 (5.0027)	Prec@1 4.688 (4.708)	Prec@5 12.891 (16.138)
Epoch: [15][6370/7045]	Time 0.108 (0.259)	Data 0.056 (0.195)	Loss 4.9774 (5.0026)	Prec@1 5.469 (4.709)	Prec@5 13.672 (16.140)
Epoch: [15][6380/7045]	Time 0.419 (0.259)	Data 0.367 (0.195)	Loss 4.9678 (5.0027)	Prec@1 4.297 (4.709)	Prec@5 15.625 (16.138)
Epoch: [15][6390/7045]	Time 0.104 (0.259)	Data 0.052 (0.195)	Loss 5.1317 (5.0027)	Prec@1 3.906 (4.707)	Prec@5 15.234 (16.138)
Epoch: [15][6400/7045]	Time 0.550 (0.259)	Data 0.499 (0.195)	Loss 4.8581 (5.0027)	Prec@1 4.297 (4.707)	Prec@5 21.094 (16.138)
Epoch: [15][6410/7045]	Time 0.122 (0.259)	Data 0.071 (0.195)	Loss 4.9285 (5.0026)	Prec@1 6.641 (4.708)	Prec@5 19.922 (16.140)
Epoch: [15][6420/7045]	Time 0.354 (0.259)	Data 0.303 (0.195)	Loss 4.9729 (5.0027)	Prec@1 3.906 (4.707)	Prec@5 14.844 (16.141)
Epoch: [15][6430/7045]	Time 0.104 (0.258)	Data 0.050 (0.195)	Loss 4.9725 (5.0026)	Prec@1 4.297 (4.708)	Prec@5 16.406 (16.141)
Epoch: [15][6440/7045]	Time 0.180 (0.259)	Data 0.128 (0.195)	Loss 4.9557 (5.0025)	Prec@1 5.078 (4.709)	Prec@5 20.703 (16.143)
Epoch: [15][6450/7045]	Time 0.101 (0.259)	Data 0.001 (0.195)	Loss 4.9987 (5.0025)	Prec@1 5.859 (4.709)	Prec@5 18.359 (16.144)
Epoch: [15][6460/7045]	Time 0.101 (0.259)	Data 0.011 (0.195)	Loss 5.0144 (5.0026)	Prec@1 3.125 (4.708)	Prec@5 14.844 (16.142)
Epoch: [15][6470/7045]	Time 0.656 (0.259)	Data 0.603 (0.195)	Loss 5.1413 (5.0026)	Prec@1 4.297 (4.708)	Prec@5 15.625 (16.143)
Epoch: [15][6480/7045]	Time 0.251 (0.259)	Data 0.200 (0.195)	Loss 5.1259 (5.0026)	Prec@1 2.734 (4.709)	Prec@5 16.797 (16.143)
Epoch: [15][6490/7045]	Time 0.232 (0.259)	Data 0.181 (0.195)	Loss 5.1284 (5.0026)	Prec@1 2.734 (4.708)	Prec@5 15.234 (16.144)
Epoch: [15][6500/7045]	Time 0.293 (0.259)	Data 0.242 (0.195)	Loss 4.9087 (5.0026)	Prec@1 5.469 (4.708)	Prec@5 16.016 (16.144)
Epoch: [15][6510/7045]	Time 0.093 (0.259)	Data 0.001 (0.195)	Loss 4.9899 (5.0027)	Prec@1 5.469 (4.707)	Prec@5 13.281 (16.141)
Epoch: [15][6520/7045]	Time 0.242 (0.259)	Data 0.191 (0.195)	Loss 5.0590 (5.0029)	Prec@1 3.516 (4.707)	Prec@5 12.891 (16.140)
Epoch: [15][6530/7045]	Time 0.206 (0.259)	Data 0.156 (0.195)	Loss 5.0389 (5.0030)	Prec@1 5.859 (4.706)	Prec@5 16.016 (16.139)
Epoch: [15][6540/7045]	Time 0.191 (0.259)	Data 0.141 (0.195)	Loss 5.0410 (5.0031)	Prec@1 4.688 (4.705)	Prec@5 14.453 (16.136)
Epoch: [15][6550/7045]	Time 0.275 (0.259)	Data 0.223 (0.195)	Loss 5.1042 (5.0031)	Prec@1 3.125 (4.704)	Prec@5 14.062 (16.136)
Epoch: [15][6560/7045]	Time 0.275 (0.259)	Data 0.223 (0.195)	Loss 5.0216 (5.0033)	Prec@1 6.250 (4.704)	Prec@5 18.359 (16.134)
Epoch: [15][6570/7045]	Time 0.212 (0.259)	Data 0.162 (0.195)	Loss 4.9700 (5.0032)	Prec@1 4.688 (4.705)	Prec@5 15.234 (16.136)
Epoch: [15][6580/7045]	Time 0.551 (0.259)	Data 0.500 (0.195)	Loss 5.0193 (5.0031)	Prec@1 3.516 (4.705)	Prec@5 12.891 (16.137)
Epoch: [15][6590/7045]	Time 0.111 (0.259)	Data 0.058 (0.196)	Loss 5.1088 (5.0032)	Prec@1 4.297 (4.706)	Prec@5 13.281 (16.138)
Epoch: [15][6600/7045]	Time 0.639 (0.259)	Data 0.587 (0.196)	Loss 4.9852 (5.0032)	Prec@1 3.906 (4.705)	Prec@5 15.625 (16.137)
Epoch: [15][6610/7045]	Time 0.201 (0.259)	Data 0.150 (0.195)	Loss 5.1134 (5.0032)	Prec@1 2.734 (4.704)	Prec@5 14.062 (16.137)
Epoch: [15][6620/7045]	Time 0.608 (0.259)	Data 0.551 (0.196)	Loss 4.8485 (5.0032)	Prec@1 6.641 (4.704)	Prec@5 18.359 (16.137)
Epoch: [15][6630/7045]	Time 0.101 (0.259)	Data 0.006 (0.195)	Loss 5.0993 (5.0033)	Prec@1 4.297 (4.705)	Prec@5 14.453 (16.136)
Epoch: [15][6640/7045]	Time 0.377 (0.259)	Data 0.320 (0.195)	Loss 5.2096 (5.0034)	Prec@1 1.953 (4.704)	Prec@5 11.719 (16.134)
Epoch: [15][6650/7045]	Time 0.276 (0.259)	Data 0.225 (0.195)	Loss 5.0930 (5.0034)	Prec@1 3.516 (4.703)	Prec@5 15.625 (16.133)
Epoch: [15][6660/7045]	Time 0.236 (0.259)	Data 0.184 (0.195)	Loss 4.9062 (5.0034)	Prec@1 6.250 (4.704)	Prec@5 17.188 (16.133)
Epoch: [15][6670/7045]	Time 0.149 (0.259)	Data 0.098 (0.196)	Loss 4.9187 (5.0034)	Prec@1 4.297 (4.704)	Prec@5 17.188 (16.133)
Epoch: [15][6680/7045]	Time 0.109 (0.259)	Data 0.057 (0.196)	Loss 5.0839 (5.0034)	Prec@1 5.078 (4.704)	Prec@5 14.062 (16.132)
Epoch: [15][6690/7045]	Time 0.421 (0.259)	Data 0.370 (0.196)	Loss 5.0704 (5.0034)	Prec@1 3.906 (4.704)	Prec@5 13.672 (16.133)
Epoch: [15][6700/7045]	Time 0.172 (0.259)	Data 0.121 (0.196)	Loss 5.0963 (5.0033)	Prec@1 2.344 (4.704)	Prec@5 11.719 (16.132)
Epoch: [15][6710/7045]	Time 0.285 (0.259)	Data 0.234 (0.196)	Loss 5.2538 (5.0035)	Prec@1 5.078 (4.703)	Prec@5 15.234 (16.132)
Epoch: [15][6720/7045]	Time 0.355 (0.259)	Data 0.303 (0.196)	Loss 5.0034 (5.0036)	Prec@1 4.688 (4.703)	Prec@5 16.016 (16.130)
Epoch: [15][6730/7045]	Time 0.353 (0.259)	Data 0.303 (0.196)	Loss 5.0172 (5.0037)	Prec@1 3.125 (4.701)	Prec@5 14.453 (16.129)
Epoch: [15][6740/7045]	Time 0.303 (0.259)	Data 0.252 (0.196)	Loss 4.9755 (5.0037)	Prec@1 6.250 (4.701)	Prec@5 16.016 (16.128)
Epoch: [15][6750/7045]	Time 0.367 (0.259)	Data 0.315 (0.196)	Loss 5.0691 (5.0037)	Prec@1 3.906 (4.701)	Prec@5 14.453 (16.127)
Epoch: [15][6760/7045]	Time 0.109 (0.259)	Data 0.001 (0.196)	Loss 4.9463 (5.0038)	Prec@1 6.250 (4.700)	Prec@5 19.141 (16.125)
Epoch: [15][6770/7045]	Time 0.371 (0.259)	Data 0.319 (0.196)	Loss 4.9977 (5.0038)	Prec@1 6.250 (4.700)	Prec@5 15.234 (16.123)
Epoch: [15][6780/7045]	Time 0.107 (0.259)	Data 0.001 (0.196)	Loss 4.9658 (5.0038)	Prec@1 5.859 (4.701)	Prec@5 17.188 (16.124)
Epoch: [15][6790/7045]	Time 0.102 (0.259)	Data 0.001 (0.196)	Loss 5.0656 (5.0038)	Prec@1 4.297 (4.700)	Prec@5 14.844 (16.122)
Epoch: [15][6800/7045]	Time 0.187 (0.259)	Data 0.129 (0.196)	Loss 4.8965 (5.0039)	Prec@1 3.906 (4.699)	Prec@5 19.141 (16.122)
Epoch: [15][6810/7045]	Time 0.459 (0.259)	Data 0.409 (0.196)	Loss 4.8624 (5.0038)	Prec@1 4.688 (4.699)	Prec@5 16.797 (16.122)
Epoch: [15][6820/7045]	Time 0.104 (0.259)	Data 0.003 (0.196)	Loss 5.0977 (5.0038)	Prec@1 4.688 (4.699)	Prec@5 15.234 (16.122)
Epoch: [15][6830/7045]	Time 0.243 (0.259)	Data 0.193 (0.196)	Loss 5.0752 (5.0038)	Prec@1 3.906 (4.699)	Prec@5 12.891 (16.120)
Epoch: [15][6840/7045]	Time 0.122 (0.259)	Data 0.072 (0.196)	Loss 5.0963 (5.0039)	Prec@1 3.906 (4.699)	Prec@5 15.234 (16.119)
Epoch: [15][6850/7045]	Time 0.478 (0.259)	Data 0.420 (0.196)	Loss 5.1361 (5.0040)	Prec@1 3.516 (4.699)	Prec@5 15.625 (16.119)
Epoch: [15][6860/7045]	Time 0.101 (0.259)	Data 0.048 (0.196)	Loss 5.0280 (5.0041)	Prec@1 4.688 (4.698)	Prec@5 16.016 (16.118)
Epoch: [15][6870/7045]	Time 0.315 (0.259)	Data 0.263 (0.196)	Loss 5.0151 (5.0041)	Prec@1 4.688 (4.698)	Prec@5 15.625 (16.116)
Epoch: [15][6880/7045]	Time 0.102 (0.259)	Data 0.001 (0.196)	Loss 4.9718 (5.0041)	Prec@1 3.516 (4.699)	Prec@5 13.672 (16.117)
Epoch: [15][6890/7045]	Time 0.563 (0.259)	Data 0.512 (0.196)	Loss 4.9853 (5.0041)	Prec@1 2.734 (4.698)	Prec@5 16.406 (16.117)
Epoch: [15][6900/7045]	Time 0.240 (0.259)	Data 0.188 (0.196)	Loss 4.9917 (5.0041)	Prec@1 3.906 (4.698)	Prec@5 15.625 (16.119)
Epoch: [15][6910/7045]	Time 0.575 (0.259)	Data 0.524 (0.196)	Loss 4.9866 (5.0041)	Prec@1 5.469 (4.699)	Prec@5 14.453 (16.121)
Epoch: [15][6920/7045]	Time 0.102 (0.259)	Data 0.007 (0.196)	Loss 5.0199 (5.0040)	Prec@1 4.297 (4.700)	Prec@5 16.406 (16.121)
Epoch: [15][6930/7045]	Time 0.106 (0.259)	Data 0.001 (0.196)	Loss 4.9579 (5.0040)	Prec@1 4.297 (4.699)	Prec@5 20.703 (16.122)
Epoch: [15][6940/7045]	Time 0.102 (0.259)	Data 0.001 (0.196)	Loss 5.0829 (5.0040)	Prec@1 4.688 (4.700)	Prec@5 14.844 (16.122)
Epoch: [15][6950/7045]	Time 0.106 (0.259)	Data 0.055 (0.196)	Loss 4.9903 (5.0039)	Prec@1 5.078 (4.701)	Prec@5 14.844 (16.123)
Epoch: [15][6960/7045]	Time 1.625 (0.259)	Data 1.573 (0.196)	Loss 4.9845 (5.0040)	Prec@1 5.078 (4.701)	Prec@5 14.062 (16.122)
Epoch: [15][6970/7045]	Time 0.104 (0.259)	Data 0.054 (0.196)	Loss 4.9383 (5.0039)	Prec@1 5.859 (4.701)	Prec@5 19.141 (16.122)
Epoch: [15][6980/7045]	Time 0.745 (0.259)	Data 0.693 (0.196)	Loss 5.0121 (5.0039)	Prec@1 4.688 (4.701)	Prec@5 15.625 (16.122)
Epoch: [15][6990/7045]	Time 0.132 (0.259)	Data 0.082 (0.196)	Loss 4.9029 (5.0038)	Prec@1 7.812 (4.702)	Prec@5 19.141 (16.124)
Epoch: [15][7000/7045]	Time 0.587 (0.259)	Data 0.536 (0.196)	Loss 4.9605 (5.0038)	Prec@1 3.516 (4.701)	Prec@5 20.703 (16.124)
Epoch: [15][7010/7045]	Time 0.112 (0.259)	Data 0.061 (0.196)	Loss 4.8255 (5.0037)	Prec@1 4.297 (4.702)	Prec@5 18.750 (16.125)
Epoch: [15][7020/7045]	Time 0.274 (0.259)	Data 0.223 (0.196)	Loss 4.8549 (5.0036)	Prec@1 3.906 (4.703)	Prec@5 17.578 (16.127)
Epoch: [15][7030/7045]	Time 0.236 (0.259)	Data 0.185 (0.196)	Loss 5.1536 (5.0036)	Prec@1 2.344 (4.701)	Prec@5 11.328 (16.126)
Epoch: [15][7040/7045]	Time 0.388 (0.259)	Data 0.338 (0.196)	Loss 4.9809 (5.0036)	Prec@1 6.250 (4.701)	Prec@5 16.797 (16.126)
Test: [0/143]	Time 1.200 (1.200)	Loss 4.7813 (4.7813)	Prec@1 10.938 (10.938)	Prec@5 21.484 (21.484)
Test: [10/143]	Time 0.049 (0.259)	Loss 4.6273 (4.8808)	Prec@1 9.375 (4.119)	Prec@5 26.953 (17.330)
Test: [20/143]	Time 0.069 (0.228)	Loss 4.9487 (4.8271)	Prec@1 2.344 (5.060)	Prec@5 16.016 (19.866)
Test: [30/143]	Time 0.175 (0.218)	Loss 4.7138 (4.8233)	Prec@1 5.469 (5.343)	Prec@5 23.047 (20.123)
Test: [40/143]	Time 0.271 (0.209)	Loss 5.1259 (4.8092)	Prec@1 0.391 (5.650)	Prec@5 6.641 (20.179)
Test: [50/143]	Time 0.289 (0.204)	Loss 4.5780 (4.8294)	Prec@1 7.812 (5.231)	Prec@5 31.641 (19.309)
Test: [60/143]	Time 0.253 (0.199)	Loss 5.0234 (4.8131)	Prec@1 3.516 (5.680)	Prec@5 14.062 (20.242)
Test: [70/143]	Time 0.107 (0.196)	Loss 4.9236 (4.8214)	Prec@1 3.125 (5.496)	Prec@5 15.234 (19.696)
Test: [80/143]	Time 0.164 (0.196)	Loss 4.5891 (4.8130)	Prec@1 6.250 (5.777)	Prec@5 21.484 (19.941)
Test: [90/143]	Time 0.048 (0.195)	Loss 5.0617 (4.8073)	Prec@1 0.391 (6.053)	Prec@5 9.375 (20.261)
Test: [100/143]	Time 0.197 (0.193)	Loss 4.3671 (4.7994)	Prec@1 15.234 (6.269)	Prec@5 46.094 (20.680)
Test: [110/143]	Time 0.210 (0.192)	Loss 4.6030 (4.7841)	Prec@1 16.016 (6.524)	Prec@5 26.953 (21.277)
Test: [120/143]	Time 0.221 (0.192)	Loss 4.7489 (4.7757)	Prec@1 1.953 (6.666)	Prec@5 17.188 (21.662)
Test: [130/143]	Time 0.376 (0.192)	Loss 4.7058 (4.7769)	Prec@1 13.281 (6.647)	Prec@5 25.781 (21.583)
Test: [140/143]	Time 0.048 (0.191)	Loss 5.4294 (4.7913)	Prec@1 0.000 (6.519)	Prec@5 3.125 (21.116)
 * Prec@1 6.584 Prec@5 21.148
Epoch: [16][0/7045]	Time 3.110 (3.110)	Data 3.051 (3.051)	Loss 4.9629 (4.9629)	Prec@1 5.469 (5.469)	Prec@5 17.578 (17.578)
Epoch: [16][10/7045]	Time 0.621 (0.503)	Data 0.569 (0.431)	Loss 4.8804 (4.9543)	Prec@1 5.469 (5.540)	Prec@5 16.797 (16.548)
Epoch: [16][20/7045]	Time 0.312 (0.392)	Data 0.261 (0.322)	Loss 4.9776 (4.9618)	Prec@1 4.688 (5.060)	Prec@5 17.578 (16.295)
Epoch: [16][30/7045]	Time 0.955 (0.368)	Data 0.905 (0.301)	Loss 4.9652 (4.9797)	Prec@1 5.859 (4.965)	Prec@5 16.016 (15.864)
Epoch: [16][40/7045]	Time 0.101 (0.337)	Data 0.001 (0.268)	Loss 4.9508 (4.9779)	Prec@1 3.906 (4.707)	Prec@5 15.625 (16.054)
Epoch: [16][50/7045]	Time 2.205 (0.357)	Data 2.153 (0.286)	Loss 4.9836 (4.9880)	Prec@1 1.562 (4.703)	Prec@5 13.672 (16.085)
Epoch: [16][60/7045]	Time 0.100 (0.341)	Data 0.001 (0.267)	Loss 5.1596 (4.9942)	Prec@1 3.125 (4.668)	Prec@5 15.234 (16.195)
Epoch: [16][70/7045]	Time 0.857 (0.333)	Data 0.794 (0.259)	Loss 4.8602 (4.9860)	Prec@1 6.250 (4.880)	Prec@5 16.797 (16.472)
Epoch: [16][80/7045]	Time 0.113 (0.319)	Data 0.062 (0.245)	Loss 5.0079 (4.9824)	Prec@1 5.859 (4.967)	Prec@5 16.797 (16.643)
Epoch: [16][90/7045]	Time 0.367 (0.315)	Data 0.316 (0.244)	Loss 5.1339 (4.9882)	Prec@1 3.906 (4.924)	Prec@5 12.500 (16.484)
Epoch: [16][100/7045]	Time 0.159 (0.309)	Data 0.109 (0.239)	Loss 5.1478 (4.9950)	Prec@1 3.516 (4.881)	Prec@5 14.062 (16.395)
Epoch: [16][110/7045]	Time 0.255 (0.306)	Data 0.203 (0.237)	Loss 4.9432 (4.9990)	Prec@1 6.641 (4.874)	Prec@5 17.188 (16.336)
Epoch: [16][120/7045]	Time 0.465 (0.314)	Data 0.410 (0.246)	Loss 4.8568 (4.9984)	Prec@1 5.859 (4.872)	Prec@5 19.922 (16.342)
Epoch: [16][130/7045]	Time 0.101 (0.309)	Data 0.021 (0.241)	Loss 5.1055 (5.0039)	Prec@1 3.125 (4.801)	Prec@5 11.719 (16.177)
Epoch: [16][140/7045]	Time 0.169 (0.305)	Data 0.116 (0.239)	Loss 5.1809 (5.0091)	Prec@1 3.906 (4.748)	Prec@5 15.234 (16.052)
Epoch: [16][150/7045]	Time 0.370 (0.304)	Data 0.320 (0.238)	Loss 5.1835 (5.0143)	Prec@1 4.297 (4.719)	Prec@5 14.062 (15.964)
Epoch: [16][160/7045]	Time 0.104 (0.300)	Data 0.053 (0.235)	Loss 5.1281 (5.0180)	Prec@1 3.125 (4.697)	Prec@5 11.328 (15.865)
Epoch: [16][170/7045]	Time 0.119 (0.300)	Data 0.065 (0.234)	Loss 4.9021 (5.0162)	Prec@1 6.250 (4.729)	Prec@5 19.922 (15.897)
Epoch: [16][180/7045]	Time 0.105 (0.296)	Data 0.053 (0.230)	Loss 5.0380 (5.0157)	Prec@1 4.297 (4.733)	Prec@5 16.016 (15.944)
Epoch: [16][190/7045]	Time 1.489 (0.302)	Data 1.437 (0.236)	Loss 5.0653 (5.0132)	Prec@1 2.734 (4.718)	Prec@5 12.891 (15.973)
Epoch: [16][200/7045]	Time 0.387 (0.300)	Data 0.336 (0.234)	Loss 5.0964 (5.0151)	Prec@1 2.734 (4.724)	Prec@5 14.844 (15.948)
Epoch: [16][210/7045]	Time 0.273 (0.297)	Data 0.220 (0.232)	Loss 4.9717 (5.0153)	Prec@1 3.125 (4.762)	Prec@5 13.281 (15.916)
Epoch: [16][220/7045]	Time 0.102 (0.297)	Data 0.001 (0.231)	Loss 4.9488 (5.0151)	Prec@1 4.297 (4.746)	Prec@5 15.625 (15.913)
Epoch: [16][230/7045]	Time 0.311 (0.295)	Data 0.260 (0.229)	Loss 4.9725 (5.0151)	Prec@1 5.078 (4.791)	Prec@5 19.531 (15.960)
Epoch: [16][240/7045]	Time 0.126 (0.294)	Data 0.074 (0.228)	Loss 5.1138 (5.0133)	Prec@1 3.906 (4.794)	Prec@5 13.281 (15.985)
Epoch: [16][250/7045]	Time 0.350 (0.294)	Data 0.299 (0.228)	Loss 4.9370 (5.0104)	Prec@1 7.031 (4.832)	Prec@5 16.797 (16.084)
Epoch: [16][260/7045]	Time 0.137 (0.292)	Data 0.086 (0.227)	Loss 5.1239 (5.0119)	Prec@1 4.297 (4.813)	Prec@5 14.453 (16.043)
Epoch: [16][270/7045]	Time 0.165 (0.291)	Data 0.114 (0.226)	Loss 5.1025 (5.0105)	Prec@1 3.906 (4.817)	Prec@5 13.281 (16.052)
Epoch: [16][280/7045]	Time 0.113 (0.295)	Data 0.062 (0.230)	Loss 4.9410 (5.0100)	Prec@1 4.297 (4.821)	Prec@5 20.312 (16.106)
Epoch: [16][290/7045]	Time 0.101 (0.293)	Data 0.001 (0.228)	Loss 5.0636 (5.0091)	Prec@1 5.078 (4.815)	Prec@5 17.578 (16.155)
Epoch: [16][300/7045]	Time 0.123 (0.292)	Data 0.070 (0.227)	Loss 4.9320 (5.0075)	Prec@1 8.203 (4.821)	Prec@5 21.484 (16.226)
Epoch: [16][310/7045]	Time 0.101 (0.290)	Data 0.006 (0.225)	Loss 4.9093 (5.0061)	Prec@1 6.641 (4.828)	Prec@5 16.797 (16.271)
Epoch: [16][320/7045]	Time 0.182 (0.290)	Data 0.130 (0.225)	Loss 4.9159 (5.0051)	Prec@1 6.250 (4.827)	Prec@5 13.672 (16.268)
Epoch: [16][330/7045]	Time 0.102 (0.289)	Data 0.001 (0.223)	Loss 5.0362 (5.0027)	Prec@1 3.125 (4.840)	Prec@5 15.234 (16.321)
Epoch: [16][340/7045]	Time 0.101 (0.290)	Data 0.001 (0.224)	Loss 4.9675 (5.0029)	Prec@1 4.688 (4.832)	Prec@5 21.484 (16.321)
Epoch: [16][350/7045]	Time 0.197 (0.288)	Data 0.145 (0.222)	Loss 5.0063 (5.0012)	Prec@1 2.734 (4.847)	Prec@5 15.234 (16.376)
Epoch: [16][360/7045]	Time 0.312 (0.290)	Data 0.260 (0.224)	Loss 5.0154 (5.0015)	Prec@1 4.297 (4.822)	Prec@5 16.016 (16.365)
Epoch: [16][370/7045]	Time 0.174 (0.289)	Data 0.124 (0.224)	Loss 5.0065 (5.0022)	Prec@1 4.297 (4.800)	Prec@5 14.844 (16.337)
Epoch: [16][380/7045]	Time 0.452 (0.289)	Data 0.399 (0.224)	Loss 5.0657 (5.0023)	Prec@1 4.688 (4.786)	Prec@5 15.234 (16.326)
Epoch: [16][390/7045]	Time 0.309 (0.288)	Data 0.258 (0.223)	Loss 4.9936 (5.0023)	Prec@1 6.250 (4.795)	Prec@5 14.844 (16.314)
Epoch: [16][400/7045]	Time 0.277 (0.288)	Data 0.220 (0.223)	Loss 5.0713 (5.0027)	Prec@1 3.906 (4.782)	Prec@5 14.844 (16.305)
Epoch: [16][410/7045]	Time 0.266 (0.287)	Data 0.215 (0.222)	Loss 5.0167 (5.0024)	Prec@1 5.469 (4.777)	Prec@5 15.234 (16.312)
Epoch: [16][420/7045]	Time 0.099 (0.286)	Data 0.046 (0.222)	Loss 4.9094 (5.0029)	Prec@1 5.078 (4.781)	Prec@5 18.359 (16.312)
Epoch: [16][430/7045]	Time 0.101 (0.286)	Data 0.001 (0.222)	Loss 4.9893 (5.0030)	Prec@1 4.688 (4.785)	Prec@5 16.406 (16.310)
Epoch: [16][440/7045]	Time 0.125 (0.285)	Data 0.074 (0.221)	Loss 5.0337 (5.0032)	Prec@1 3.906 (4.791)	Prec@5 14.062 (16.312)
Epoch: [16][450/7045]	Time 0.242 (0.284)	Data 0.190 (0.220)	Loss 5.0421 (5.0034)	Prec@1 5.078 (4.788)	Prec@5 15.234 (16.293)
Epoch: [16][460/7045]	Time 0.103 (0.283)	Data 0.052 (0.219)	Loss 4.8733 (5.0034)	Prec@1 5.078 (4.778)	Prec@5 17.969 (16.277)
Epoch: [16][470/7045]	Time 0.404 (0.282)	Data 0.354 (0.219)	Loss 5.0523 (5.0042)	Prec@1 4.297 (4.786)	Prec@5 14.844 (16.259)
Epoch: [16][480/7045]	Time 0.101 (0.281)	Data 0.001 (0.218)	Loss 5.0056 (5.0045)	Prec@1 3.516 (4.771)	Prec@5 17.578 (16.252)
Epoch: [16][490/7045]	Time 0.500 (0.281)	Data 0.450 (0.217)	Loss 4.9117 (5.0046)	Prec@1 4.297 (4.773)	Prec@5 13.672 (16.247)
Epoch: [16][500/7045]	Time 0.103 (0.280)	Data 0.006 (0.216)	Loss 5.0245 (5.0056)	Prec@1 6.250 (4.768)	Prec@5 14.453 (16.235)
Epoch: [16][510/7045]	Time 0.540 (0.280)	Data 0.488 (0.216)	Loss 5.0036 (5.0056)	Prec@1 6.641 (4.764)	Prec@5 16.797 (16.228)
Epoch: [16][520/7045]	Time 0.202 (0.279)	Data 0.150 (0.215)	Loss 5.0955 (5.0060)	Prec@1 2.734 (4.765)	Prec@5 12.109 (16.213)
Epoch: [16][530/7045]	Time 0.361 (0.278)	Data 0.309 (0.215)	Loss 4.9615 (5.0056)	Prec@1 5.859 (4.771)	Prec@5 16.016 (16.214)
Epoch: [16][540/7045]	Time 0.124 (0.277)	Data 0.070 (0.214)	Loss 5.0126 (5.0048)	Prec@1 5.078 (4.771)	Prec@5 16.406 (16.198)
Epoch: [16][550/7045]	Time 0.329 (0.277)	Data 0.270 (0.214)	Loss 4.8053 (5.0042)	Prec@1 7.422 (4.778)	Prec@5 16.797 (16.192)
Epoch: [16][560/7045]	Time 0.101 (0.276)	Data 0.001 (0.213)	Loss 4.8841 (5.0047)	Prec@1 5.859 (4.781)	Prec@5 16.797 (16.186)
Epoch: [16][570/7045]	Time 0.459 (0.277)	Data 0.407 (0.213)	Loss 5.1905 (5.0055)	Prec@1 3.906 (4.785)	Prec@5 15.234 (16.196)
Epoch: [16][580/7045]	Time 0.103 (0.276)	Data 0.051 (0.212)	Loss 5.0175 (5.0052)	Prec@1 4.688 (4.788)	Prec@5 17.188 (16.207)
Epoch: [16][590/7045]	Time 0.288 (0.275)	Data 0.237 (0.212)	Loss 5.0240 (5.0066)	Prec@1 4.688 (4.800)	Prec@5 14.453 (16.189)
Epoch: [16][600/7045]	Time 0.152 (0.275)	Data 0.100 (0.212)	Loss 5.1197 (5.0078)	Prec@1 4.297 (4.796)	Prec@5 16.797 (16.177)
Epoch: [16][610/7045]	Time 0.112 (0.274)	Data 0.060 (0.212)	Loss 4.9458 (5.0073)	Prec@1 5.469 (4.801)	Prec@5 19.922 (16.206)
Epoch: [16][620/7045]	Time 0.374 (0.274)	Data 0.321 (0.212)	Loss 5.0249 (5.0073)	Prec@1 4.688 (4.798)	Prec@5 17.578 (16.206)
Epoch: [16][630/7045]	Time 0.101 (0.274)	Data 0.001 (0.211)	Loss 5.0582 (5.0074)	Prec@1 4.297 (4.783)	Prec@5 13.672 (16.186)
Epoch: [16][640/7045]	Time 0.486 (0.274)	Data 0.435 (0.211)	Loss 5.0620 (5.0071)	Prec@1 2.734 (4.781)	Prec@5 16.797 (16.189)
Epoch: [16][650/7045]	Time 0.202 (0.273)	Data 0.150 (0.210)	Loss 4.9645 (5.0067)	Prec@1 5.859 (4.773)	Prec@5 18.359 (16.188)
Epoch: [16][660/7045]	Time 0.568 (0.273)	Data 0.508 (0.210)	Loss 4.9785 (5.0066)	Prec@1 5.469 (4.772)	Prec@5 13.672 (16.170)
Epoch: [16][670/7045]	Time 0.102 (0.272)	Data 0.001 (0.209)	Loss 5.0572 (5.0068)	Prec@1 5.469 (4.774)	Prec@5 13.672 (16.175)
Epoch: [16][680/7045]	Time 0.614 (0.272)	Data 0.556 (0.209)	Loss 4.9452 (5.0073)	Prec@1 6.641 (4.775)	Prec@5 17.969 (16.155)
Epoch: [16][690/7045]	Time 0.139 (0.271)	Data 0.088 (0.209)	Loss 5.0547 (5.0082)	Prec@1 3.125 (4.773)	Prec@5 15.234 (16.154)
Epoch: [16][700/7045]	Time 0.159 (0.271)	Data 0.107 (0.209)	Loss 4.8639 (5.0082)	Prec@1 7.422 (4.768)	Prec@5 18.750 (16.152)
Epoch: [16][710/7045]	Time 0.101 (0.271)	Data 0.046 (0.208)	Loss 4.8986 (5.0075)	Prec@1 3.906 (4.775)	Prec@5 16.797 (16.164)
Epoch: [16][720/7045]	Time 0.649 (0.272)	Data 0.597 (0.209)	Loss 4.8470 (5.0063)	Prec@1 7.422 (4.785)	Prec@5 17.578 (16.174)
Epoch: [16][730/7045]	Time 0.101 (0.272)	Data 0.001 (0.209)	Loss 5.0078 (5.0056)	Prec@1 4.297 (4.787)	Prec@5 14.844 (16.171)
Epoch: [16][740/7045]	Time 0.703 (0.272)	Data 0.653 (0.209)	Loss 5.0729 (5.0062)	Prec@1 2.344 (4.788)	Prec@5 12.891 (16.170)
Epoch: [16][750/7045]	Time 0.101 (0.271)	Data 0.001 (0.208)	Loss 5.0424 (5.0064)	Prec@1 5.859 (4.783)	Prec@5 16.016 (16.160)
Epoch: [16][760/7045]	Time 0.173 (0.271)	Data 0.120 (0.208)	Loss 4.9726 (5.0063)	Prec@1 6.250 (4.791)	Prec@5 16.406 (16.165)
Epoch: [16][770/7045]	Time 0.114 (0.271)	Data 0.062 (0.207)	Loss 4.9911 (5.0073)	Prec@1 5.078 (4.778)	Prec@5 16.797 (16.155)
Epoch: [16][780/7045]	Time 0.344 (0.271)	Data 0.289 (0.208)	Loss 4.9584 (5.0076)	Prec@1 3.906 (4.770)	Prec@5 17.578 (16.150)
Epoch: [16][790/7045]	Time 0.103 (0.270)	Data 0.051 (0.207)	Loss 5.0175 (5.0081)	Prec@1 5.469 (4.759)	Prec@5 13.281 (16.132)
Epoch: [16][800/7045]	Time 0.249 (0.271)	Data 0.198 (0.207)	Loss 4.9961 (5.0087)	Prec@1 3.516 (4.747)	Prec@5 17.188 (16.115)
Epoch: [16][810/7045]	Time 0.101 (0.270)	Data 0.001 (0.207)	Loss 5.1120 (5.0093)	Prec@1 2.734 (4.743)	Prec@5 14.062 (16.105)
Epoch: [16][820/7045]	Time 0.214 (0.272)	Data 0.164 (0.208)	Loss 4.9821 (5.0089)	Prec@1 4.297 (4.744)	Prec@5 16.016 (16.114)
Epoch: [16][830/7045]	Time 0.233 (0.272)	Data 0.177 (0.208)	Loss 5.0860 (5.0087)	Prec@1 4.297 (4.740)	Prec@5 13.672 (16.105)
Epoch: [16][840/7045]	Time 0.197 (0.271)	Data 0.144 (0.208)	Loss 5.0564 (5.0084)	Prec@1 5.469 (4.739)	Prec@5 17.188 (16.118)
Epoch: [16][850/7045]	Time 0.161 (0.271)	Data 0.109 (0.208)	Loss 4.9712 (5.0084)	Prec@1 3.516 (4.738)	Prec@5 17.969 (16.107)
Epoch: [16][860/7045]	Time 0.235 (0.271)	Data 0.184 (0.208)	Loss 5.0458 (5.0080)	Prec@1 2.344 (4.737)	Prec@5 15.234 (16.110)
Epoch: [16][870/7045]	Time 0.108 (0.271)	Data 0.056 (0.208)	Loss 4.9600 (5.0078)	Prec@1 4.688 (4.736)	Prec@5 16.406 (16.117)
Epoch: [16][880/7045]	Time 0.138 (0.271)	Data 0.086 (0.208)	Loss 4.8292 (5.0075)	Prec@1 3.906 (4.738)	Prec@5 16.797 (16.125)
Epoch: [16][890/7045]	Time 0.435 (0.271)	Data 0.384 (0.208)	Loss 5.0371 (5.0073)	Prec@1 3.516 (4.740)	Prec@5 16.797 (16.133)
Epoch: [16][900/7045]	Time 0.109 (0.270)	Data 0.004 (0.207)	Loss 5.0203 (5.0071)	Prec@1 3.906 (4.745)	Prec@5 14.844 (16.140)
Epoch: [16][910/7045]	Time 0.457 (0.272)	Data 0.406 (0.209)	Loss 5.3005 (5.0082)	Prec@1 2.344 (4.741)	Prec@5 8.984 (16.125)
Epoch: [16][920/7045]	Time 0.254 (0.272)	Data 0.203 (0.209)	Loss 4.8578 (5.0093)	Prec@1 8.203 (4.733)	Prec@5 19.922 (16.114)
Epoch: [16][930/7045]	Time 0.491 (0.272)	Data 0.440 (0.209)	Loss 5.0823 (5.0099)	Prec@1 4.297 (4.726)	Prec@5 13.672 (16.098)
Epoch: [16][940/7045]	Time 0.260 (0.271)	Data 0.209 (0.208)	Loss 5.0179 (5.0110)	Prec@1 3.125 (4.717)	Prec@5 15.234 (16.090)
Epoch: [16][950/7045]	Time 0.229 (0.271)	Data 0.176 (0.208)	Loss 5.1430 (5.0109)	Prec@1 4.688 (4.718)	Prec@5 13.672 (16.100)
Epoch: [16][960/7045]	Time 0.237 (0.271)	Data 0.186 (0.208)	Loss 4.9818 (5.0111)	Prec@1 4.688 (4.721)	Prec@5 16.797 (16.107)
Epoch: [16][970/7045]	Time 0.113 (0.271)	Data 0.062 (0.208)	Loss 5.0415 (5.0110)	Prec@1 6.641 (4.724)	Prec@5 17.578 (16.101)
Epoch: [16][980/7045]	Time 0.113 (0.272)	Data 0.062 (0.208)	Loss 4.8801 (5.0107)	Prec@1 5.469 (4.716)	Prec@5 17.578 (16.101)
Epoch: [16][990/7045]	Time 0.177 (0.271)	Data 0.126 (0.208)	Loss 4.9915 (5.0104)	Prec@1 7.812 (4.723)	Prec@5 15.234 (16.114)
Epoch: [16][1000/7045]	Time 0.436 (0.271)	Data 0.387 (0.208)	Loss 5.0386 (5.0103)	Prec@1 3.125 (4.723)	Prec@5 15.234 (16.112)
Epoch: [16][1010/7045]	Time 0.101 (0.271)	Data 0.049 (0.208)	Loss 5.0589 (5.0102)	Prec@1 3.516 (4.723)	Prec@5 16.406 (16.133)
Epoch: [16][1020/7045]	Time 0.441 (0.271)	Data 0.390 (0.208)	Loss 4.9747 (5.0101)	Prec@1 3.125 (4.718)	Prec@5 14.844 (16.132)
Epoch: [16][1030/7045]	Time 0.103 (0.270)	Data 0.001 (0.207)	Loss 5.0721 (5.0097)	Prec@1 3.906 (4.719)	Prec@5 15.625 (16.135)
Epoch: [16][1040/7045]	Time 0.492 (0.270)	Data 0.434 (0.207)	Loss 4.9996 (5.0089)	Prec@1 5.859 (4.723)	Prec@5 17.578 (16.160)
Epoch: [16][1050/7045]	Time 0.103 (0.270)	Data 0.051 (0.207)	Loss 4.8544 (5.0086)	Prec@1 5.469 (4.722)	Prec@5 16.406 (16.161)
Epoch: [16][1060/7045]	Time 0.507 (0.271)	Data 0.455 (0.208)	Loss 5.1185 (5.0081)	Prec@1 1.953 (4.727)	Prec@5 10.938 (16.171)
Epoch: [16][1070/7045]	Time 0.200 (0.270)	Data 0.148 (0.207)	Loss 4.8536 (5.0075)	Prec@1 8.203 (4.728)	Prec@5 18.359 (16.182)
Epoch: [16][1080/7045]	Time 0.298 (0.270)	Data 0.246 (0.207)	Loss 4.9497 (5.0072)	Prec@1 4.688 (4.727)	Prec@5 16.797 (16.184)
Epoch: [16][1090/7045]	Time 0.102 (0.270)	Data 0.001 (0.207)	Loss 4.9898 (5.0071)	Prec@1 4.297 (4.725)	Prec@5 14.844 (16.181)
Epoch: [16][1100/7045]	Time 0.363 (0.270)	Data 0.308 (0.207)	Loss 5.1081 (5.0068)	Prec@1 4.297 (4.728)	Prec@5 12.109 (16.176)
Epoch: [16][1110/7045]	Time 0.107 (0.270)	Data 0.001 (0.207)	Loss 4.9151 (5.0064)	Prec@1 3.516 (4.726)	Prec@5 14.062 (16.175)
Epoch: [16][1120/7045]	Time 0.443 (0.270)	Data 0.391 (0.207)	Loss 5.0382 (5.0062)	Prec@1 3.906 (4.732)	Prec@5 14.062 (16.175)
Epoch: [16][1130/7045]	Time 0.271 (0.269)	Data 0.220 (0.206)	Loss 5.0129 (5.0061)	Prec@1 3.516 (4.727)	Prec@5 14.453 (16.173)
Epoch: [16][1140/7045]	Time 0.257 (0.269)	Data 0.206 (0.207)	Loss 5.0574 (5.0060)	Prec@1 4.688 (4.729)	Prec@5 18.359 (16.185)
Epoch: [16][1150/7045]	Time 0.102 (0.269)	Data 0.006 (0.206)	Loss 4.9908 (5.0060)	Prec@1 5.859 (4.730)	Prec@5 20.703 (16.185)
Epoch: [16][1160/7045]	Time 0.131 (0.270)	Data 0.077 (0.208)	Loss 4.8818 (5.0060)	Prec@1 7.031 (4.728)	Prec@5 19.531 (16.180)
Epoch: [16][1170/7045]	Time 0.172 (0.270)	Data 0.120 (0.207)	Loss 4.9263 (5.0059)	Prec@1 6.641 (4.733)	Prec@5 17.969 (16.194)
Epoch: [16][1180/7045]	Time 0.100 (0.270)	Data 0.045 (0.207)	Loss 5.0236 (5.0058)	Prec@1 7.031 (4.734)	Prec@5 16.016 (16.189)
Epoch: [16][1190/7045]	Time 0.283 (0.270)	Data 0.231 (0.207)	Loss 4.8920 (5.0055)	Prec@1 5.469 (4.738)	Prec@5 15.234 (16.195)
Epoch: [16][1200/7045]	Time 0.110 (0.270)	Data 0.001 (0.207)	Loss 5.1586 (5.0057)	Prec@1 6.250 (4.741)	Prec@5 14.062 (16.191)
Epoch: [16][1210/7045]	Time 0.151 (0.269)	Data 0.101 (0.207)	Loss 5.1109 (5.0061)	Prec@1 3.516 (4.737)	Prec@5 13.281 (16.187)
Epoch: [16][1220/7045]	Time 0.336 (0.269)	Data 0.284 (0.207)	Loss 5.0676 (5.0065)	Prec@1 5.859 (4.735)	Prec@5 15.625 (16.181)
Epoch: [16][1230/7045]	Time 0.101 (0.270)	Data 0.008 (0.207)	Loss 5.0420 (5.0065)	Prec@1 4.297 (4.734)	Prec@5 15.234 (16.180)
Epoch: [16][1240/7045]	Time 0.285 (0.270)	Data 0.234 (0.207)	Loss 4.9693 (5.0064)	Prec@1 4.688 (4.736)	Prec@5 17.188 (16.183)
Epoch: [16][1250/7045]	Time 0.188 (0.269)	Data 0.136 (0.207)	Loss 4.9797 (5.0057)	Prec@1 3.906 (4.743)	Prec@5 17.969 (16.200)
Epoch: [16][1260/7045]	Time 0.295 (0.269)	Data 0.237 (0.207)	Loss 4.9598 (5.0053)	Prec@1 5.859 (4.742)	Prec@5 18.359 (16.202)
Epoch: [16][1270/7045]	Time 0.273 (0.269)	Data 0.221 (0.207)	Loss 4.8622 (5.0051)	Prec@1 7.031 (4.741)	Prec@5 21.875 (16.210)
Epoch: [16][1280/7045]	Time 0.154 (0.269)	Data 0.097 (0.207)	Loss 5.0171 (5.0051)	Prec@1 3.516 (4.736)	Prec@5 17.578 (16.209)
Epoch: [16][1290/7045]	Time 0.195 (0.269)	Data 0.143 (0.207)	Loss 4.9799 (5.0054)	Prec@1 3.906 (4.731)	Prec@5 17.188 (16.200)
Epoch: [16][1300/7045]	Time 0.237 (0.269)	Data 0.185 (0.207)	Loss 5.1988 (5.0062)	Prec@1 1.953 (4.723)	Prec@5 8.594 (16.184)
Epoch: [16][1310/7045]	Time 0.501 (0.269)	Data 0.443 (0.207)	Loss 5.0709 (5.0065)	Prec@1 4.297 (4.721)	Prec@5 17.969 (16.182)
Epoch: [16][1320/7045]	Time 0.101 (0.269)	Data 0.001 (0.207)	Loss 4.9412 (5.0063)	Prec@1 4.297 (4.721)	Prec@5 18.750 (16.195)
Epoch: [16][1330/7045]	Time 0.345 (0.270)	Data 0.294 (0.208)	Loss 4.8955 (5.0057)	Prec@1 6.641 (4.721)	Prec@5 17.578 (16.198)
Epoch: [16][1340/7045]	Time 0.100 (0.270)	Data 0.047 (0.208)	Loss 5.0630 (5.0058)	Prec@1 4.688 (4.726)	Prec@5 15.625 (16.204)
Epoch: [16][1350/7045]	Time 0.203 (0.270)	Data 0.152 (0.208)	Loss 5.0594 (5.0058)	Prec@1 5.078 (4.729)	Prec@5 16.016 (16.205)
Epoch: [16][1360/7045]	Time 0.106 (0.270)	Data 0.055 (0.208)	Loss 5.0092 (5.0053)	Prec@1 5.859 (4.732)	Prec@5 18.750 (16.220)
Epoch: [16][1370/7045]	Time 0.445 (0.270)	Data 0.394 (0.208)	Loss 5.1570 (5.0053)	Prec@1 1.953 (4.731)	Prec@5 14.844 (16.214)
Epoch: [16][1380/7045]	Time 0.354 (0.270)	Data 0.304 (0.208)	Loss 4.6633 (5.0051)	Prec@1 7.812 (4.731)	Prec@5 23.828 (16.209)
Epoch: [16][1390/7045]	Time 0.160 (0.269)	Data 0.109 (0.207)	Loss 4.8028 (5.0049)	Prec@1 5.859 (4.731)	Prec@5 18.359 (16.216)
Epoch: [16][1400/7045]	Time 0.182 (0.270)	Data 0.132 (0.208)	Loss 5.0588 (5.0055)	Prec@1 5.469 (4.727)	Prec@5 13.672 (16.204)
Epoch: [16][1410/7045]	Time 0.255 (0.270)	Data 0.203 (0.208)	Loss 5.1108 (5.0058)	Prec@1 1.953 (4.722)	Prec@5 10.938 (16.199)
Epoch: [16][1420/7045]	Time 0.102 (0.270)	Data 0.001 (0.208)	Loss 5.0551 (5.0059)	Prec@1 4.297 (4.727)	Prec@5 15.234 (16.205)
Epoch: [16][1430/7045]	Time 0.315 (0.270)	Data 0.264 (0.208)	Loss 4.9582 (5.0060)	Prec@1 5.469 (4.722)	Prec@5 17.578 (16.197)
Epoch: [16][1440/7045]	Time 0.464 (0.270)	Data 0.407 (0.208)	Loss 4.8848 (5.0055)	Prec@1 7.812 (4.726)	Prec@5 20.703 (16.208)
Epoch: [16][1450/7045]	Time 0.345 (0.270)	Data 0.287 (0.208)	Loss 5.1466 (5.0054)	Prec@1 3.516 (4.724)	Prec@5 13.672 (16.204)
Epoch: [16][1460/7045]	Time 0.411 (0.269)	Data 0.361 (0.208)	Loss 5.0956 (5.0060)	Prec@1 3.125 (4.718)	Prec@5 13.672 (16.197)
Epoch: [16][1470/7045]	Time 0.265 (0.270)	Data 0.214 (0.209)	Loss 5.0904 (5.0062)	Prec@1 3.516 (4.716)	Prec@5 15.234 (16.190)
Epoch: [16][1480/7045]	Time 0.317 (0.270)	Data 0.264 (0.208)	Loss 4.9299 (5.0060)	Prec@1 5.859 (4.719)	Prec@5 14.062 (16.190)
Epoch: [16][1490/7045]	Time 0.293 (0.270)	Data 0.242 (0.208)	Loss 5.1001 (5.0063)	Prec@1 3.516 (4.716)	Prec@5 12.891 (16.180)
Epoch: [16][1500/7045]	Time 0.367 (0.270)	Data 0.316 (0.208)	Loss 5.0768 (5.0072)	Prec@1 4.297 (4.707)	Prec@5 14.062 (16.158)
Epoch: [16][1510/7045]	Time 0.204 (0.270)	Data 0.153 (0.208)	Loss 5.1109 (5.0078)	Prec@1 3.125 (4.702)	Prec@5 16.016 (16.151)
Epoch: [16][1520/7045]	Time 0.340 (0.269)	Data 0.282 (0.208)	Loss 5.1080 (5.0081)	Prec@1 6.250 (4.701)	Prec@5 13.281 (16.142)
Epoch: [16][1530/7045]	Time 0.476 (0.269)	Data 0.425 (0.208)	Loss 5.1454 (5.0082)	Prec@1 3.516 (4.701)	Prec@5 11.719 (16.140)
Epoch: [16][1540/7045]	Time 0.292 (0.269)	Data 0.240 (0.208)	Loss 5.0381 (5.0085)	Prec@1 3.516 (4.693)	Prec@5 17.188 (16.132)
Epoch: [16][1550/7045]	Time 0.295 (0.270)	Data 0.243 (0.208)	Loss 5.1125 (5.0087)	Prec@1 6.250 (4.695)	Prec@5 14.844 (16.127)
Epoch: [16][1560/7045]	Time 0.487 (0.270)	Data 0.435 (0.208)	Loss 5.0604 (5.0088)	Prec@1 2.344 (4.688)	Prec@5 13.281 (16.120)
Epoch: [16][1570/7045]	Time 0.341 (0.269)	Data 0.291 (0.208)	Loss 5.0254 (5.0088)	Prec@1 3.906 (4.688)	Prec@5 14.844 (16.121)
Epoch: [16][1580/7045]	Time 0.415 (0.269)	Data 0.364 (0.208)	Loss 4.8995 (5.0087)	Prec@1 3.125 (4.685)	Prec@5 17.578 (16.127)
Epoch: [16][1590/7045]	Time 0.304 (0.269)	Data 0.253 (0.208)	Loss 4.9916 (5.0087)	Prec@1 6.250 (4.687)	Prec@5 17.188 (16.126)
Epoch: [16][1600/7045]	Time 0.101 (0.269)	Data 0.002 (0.207)	Loss 4.9097 (5.0088)	Prec@1 5.469 (4.686)	Prec@5 16.016 (16.119)
Epoch: [16][1610/7045]	Time 0.255 (0.269)	Data 0.205 (0.207)	Loss 4.9113 (5.0088)	Prec@1 8.594 (4.686)	Prec@5 19.141 (16.115)
Epoch: [16][1620/7045]	Time 0.473 (0.269)	Data 0.416 (0.207)	Loss 5.0257 (5.0085)	Prec@1 5.859 (4.688)	Prec@5 16.797 (16.121)
Epoch: [16][1630/7045]	Time 0.195 (0.269)	Data 0.144 (0.207)	Loss 4.8914 (5.0080)	Prec@1 7.031 (4.689)	Prec@5 20.703 (16.132)
Epoch: [16][1640/7045]	Time 1.808 (0.270)	Data 1.757 (0.208)	Loss 4.9487 (5.0079)	Prec@1 5.859 (4.690)	Prec@5 17.578 (16.137)
Epoch: [16][1650/7045]	Time 0.434 (0.269)	Data 0.383 (0.208)	Loss 5.0371 (5.0079)	Prec@1 7.031 (4.692)	Prec@5 15.625 (16.141)
Epoch: [16][1660/7045]	Time 0.276 (0.269)	Data 0.225 (0.208)	Loss 4.9238 (5.0078)	Prec@1 5.859 (4.697)	Prec@5 20.312 (16.143)
Epoch: [16][1670/7045]	Time 0.362 (0.269)	Data 0.310 (0.208)	Loss 4.7945 (5.0076)	Prec@1 4.297 (4.698)	Prec@5 18.750 (16.147)
Epoch: [16][1680/7045]	Time 0.124 (0.269)	Data 0.072 (0.208)	Loss 5.1772 (5.0079)	Prec@1 4.688 (4.695)	Prec@5 17.188 (16.146)
Epoch: [16][1690/7045]	Time 0.116 (0.269)	Data 0.065 (0.207)	Loss 5.0226 (5.0081)	Prec@1 4.688 (4.695)	Prec@5 16.797 (16.140)
Epoch: [16][1700/7045]	Time 0.238 (0.269)	Data 0.187 (0.207)	Loss 5.0574 (5.0082)	Prec@1 5.469 (4.694)	Prec@5 16.406 (16.137)
Epoch: [16][1710/7045]	Time 0.108 (0.269)	Data 0.001 (0.207)	Loss 4.7758 (5.0079)	Prec@1 5.469 (4.695)	Prec@5 20.312 (16.144)
Epoch: [16][1720/7045]	Time 0.528 (0.269)	Data 0.476 (0.208)	Loss 4.9730 (5.0079)	Prec@1 4.688 (4.702)	Prec@5 15.625 (16.150)
Epoch: [16][1730/7045]	Time 0.148 (0.269)	Data 0.097 (0.208)	Loss 4.9255 (5.0081)	Prec@1 5.469 (4.703)	Prec@5 16.797 (16.146)
Epoch: [16][1740/7045]	Time 0.554 (0.269)	Data 0.504 (0.208)	Loss 4.9933 (5.0080)	Prec@1 3.906 (4.703)	Prec@5 16.016 (16.146)
Epoch: [16][1750/7045]	Time 0.205 (0.269)	Data 0.154 (0.208)	Loss 4.8798 (5.0079)	Prec@1 5.859 (4.702)	Prec@5 18.750 (16.150)
Epoch: [16][1760/7045]	Time 0.476 (0.269)	Data 0.425 (0.207)	Loss 4.9201 (5.0077)	Prec@1 3.125 (4.699)	Prec@5 15.234 (16.151)
Epoch: [16][1770/7045]	Time 0.133 (0.269)	Data 0.082 (0.208)	Loss 5.0805 (5.0077)	Prec@1 3.516 (4.699)	Prec@5 15.234 (16.150)
Epoch: [16][1780/7045]	Time 0.507 (0.269)	Data 0.447 (0.208)	Loss 5.1297 (5.0078)	Prec@1 3.516 (4.695)	Prec@5 12.891 (16.144)
Epoch: [16][1790/7045]	Time 0.161 (0.269)	Data 0.110 (0.208)	Loss 4.9418 (5.0073)	Prec@1 4.688 (4.702)	Prec@5 17.188 (16.153)
Epoch: [16][1800/7045]	Time 0.500 (0.269)	Data 0.448 (0.208)	Loss 4.9392 (5.0072)	Prec@1 5.078 (4.703)	Prec@5 18.359 (16.159)
Epoch: [16][1810/7045]	Time 0.241 (0.269)	Data 0.190 (0.207)	Loss 4.9902 (5.0073)	Prec@1 3.906 (4.704)	Prec@5 14.844 (16.157)
Epoch: [16][1820/7045]	Time 0.433 (0.269)	Data 0.381 (0.207)	Loss 5.0920 (5.0075)	Prec@1 4.297 (4.703)	Prec@5 13.672 (16.150)
Epoch: [16][1830/7045]	Time 0.371 (0.268)	Data 0.320 (0.207)	Loss 4.9481 (5.0076)	Prec@1 6.250 (4.704)	Prec@5 19.922 (16.151)
Epoch: [16][1840/7045]	Time 0.577 (0.268)	Data 0.526 (0.207)	Loss 4.9019 (5.0073)	Prec@1 6.641 (4.708)	Prec@5 17.969 (16.157)
Epoch: [16][1850/7045]	Time 0.196 (0.268)	Data 0.146 (0.207)	Loss 4.9375 (5.0072)	Prec@1 2.734 (4.708)	Prec@5 17.188 (16.153)
Epoch: [16][1860/7045]	Time 0.467 (0.268)	Data 0.417 (0.207)	Loss 4.9074 (5.0068)	Prec@1 5.859 (4.709)	Prec@5 13.672 (16.154)
Epoch: [16][1870/7045]	Time 0.103 (0.269)	Data 0.051 (0.207)	Loss 5.0931 (5.0068)	Prec@1 5.078 (4.712)	Prec@5 14.062 (16.157)
Epoch: [16][1880/7045]	Time 0.317 (0.268)	Data 0.266 (0.207)	Loss 5.0115 (5.0071)	Prec@1 3.125 (4.710)	Prec@5 18.359 (16.150)
Epoch: [16][1890/7045]	Time 0.108 (0.268)	Data 0.002 (0.207)	Loss 4.9406 (5.0071)	Prec@1 5.859 (4.712)	Prec@5 15.625 (16.150)
Epoch: [16][1900/7045]	Time 0.109 (0.268)	Data 0.057 (0.207)	Loss 4.9240 (5.0072)	Prec@1 5.078 (4.709)	Prec@5 15.234 (16.148)
Epoch: [16][1910/7045]	Time 0.101 (0.268)	Data 0.049 (0.207)	Loss 5.0614 (5.0074)	Prec@1 4.688 (4.704)	Prec@5 12.891 (16.139)
Epoch: [16][1920/7045]	Time 0.100 (0.268)	Data 0.002 (0.207)	Loss 4.8291 (5.0071)	Prec@1 5.469 (4.706)	Prec@5 18.750 (16.145)
Epoch: [16][1930/7045]	Time 0.227 (0.268)	Data 0.176 (0.207)	Loss 4.9267 (5.0069)	Prec@1 6.250 (4.707)	Prec@5 19.922 (16.151)
Epoch: [16][1940/7045]	Time 0.292 (0.268)	Data 0.242 (0.207)	Loss 4.9976 (5.0067)	Prec@1 4.688 (4.707)	Prec@5 17.188 (16.152)
Epoch: [16][1950/7045]	Time 0.100 (0.268)	Data 0.044 (0.207)	Loss 5.0747 (5.0067)	Prec@1 5.859 (4.709)	Prec@5 18.359 (16.158)
Epoch: [16][1960/7045]	Time 0.528 (0.268)	Data 0.470 (0.207)	Loss 5.1348 (5.0071)	Prec@1 3.906 (4.706)	Prec@5 14.062 (16.151)
Epoch: [16][1970/7045]	Time 0.102 (0.268)	Data 0.050 (0.207)	Loss 4.9423 (5.0075)	Prec@1 6.250 (4.705)	Prec@5 18.750 (16.142)
Epoch: [16][1980/7045]	Time 0.596 (0.268)	Data 0.539 (0.207)	Loss 4.9469 (5.0076)	Prec@1 4.297 (4.702)	Prec@5 14.453 (16.136)
Epoch: [16][1990/7045]	Time 0.186 (0.268)	Data 0.129 (0.207)	Loss 4.8479 (5.0074)	Prec@1 7.031 (4.707)	Prec@5 18.359 (16.140)
Epoch: [16][2000/7045]	Time 1.644 (0.268)	Data 1.589 (0.207)	Loss 5.1602 (5.0074)	Prec@1 3.906 (4.707)	Prec@5 12.891 (16.141)
Epoch: [16][2010/7045]	Time 0.134 (0.268)	Data 0.083 (0.207)	Loss 4.9918 (5.0074)	Prec@1 5.859 (4.709)	Prec@5 18.750 (16.142)
Epoch: [16][2020/7045]	Time 0.476 (0.268)	Data 0.425 (0.207)	Loss 4.9568 (5.0074)	Prec@1 7.031 (4.711)	Prec@5 17.578 (16.144)
Epoch: [16][2030/7045]	Time 0.259 (0.268)	Data 0.205 (0.207)	Loss 4.9746 (5.0072)	Prec@1 6.250 (4.709)	Prec@5 15.234 (16.147)
Epoch: [16][2040/7045]	Time 0.494 (0.268)	Data 0.444 (0.207)	Loss 4.9131 (5.0071)	Prec@1 5.469 (4.711)	Prec@5 19.922 (16.146)
Epoch: [16][2050/7045]	Time 0.231 (0.268)	Data 0.181 (0.207)	Loss 4.9420 (5.0070)	Prec@1 6.641 (4.709)	Prec@5 22.266 (16.147)
Epoch: [16][2060/7045]	Time 0.111 (0.268)	Data 0.059 (0.207)	Loss 5.0419 (5.0070)	Prec@1 3.906 (4.708)	Prec@5 18.359 (16.145)
Epoch: [16][2070/7045]	Time 0.102 (0.267)	Data 0.001 (0.206)	Loss 5.1662 (5.0072)	Prec@1 4.297 (4.710)	Prec@5 13.672 (16.147)
Epoch: [16][2080/7045]	Time 0.101 (0.267)	Data 0.001 (0.206)	Loss 5.0872 (5.0072)	Prec@1 3.906 (4.708)	Prec@5 12.500 (16.149)
Epoch: [16][2090/7045]	Time 0.101 (0.267)	Data 0.003 (0.206)	Loss 5.1142 (5.0072)	Prec@1 3.516 (4.708)	Prec@5 14.453 (16.151)
Epoch: [16][2100/7045]	Time 0.197 (0.268)	Data 0.145 (0.207)	Loss 5.0628 (5.0073)	Prec@1 5.859 (4.707)	Prec@5 16.797 (16.147)
Epoch: [16][2110/7045]	Time 0.101 (0.268)	Data 0.008 (0.207)	Loss 4.8985 (5.0072)	Prec@1 5.078 (4.705)	Prec@5 15.234 (16.147)
Epoch: [16][2120/7045]	Time 0.351 (0.268)	Data 0.287 (0.207)	Loss 4.9776 (5.0070)	Prec@1 5.859 (4.708)	Prec@5 19.531 (16.153)
Epoch: [16][2130/7045]	Time 0.156 (0.267)	Data 0.104 (0.206)	Loss 5.0538 (5.0069)	Prec@1 5.469 (4.708)	Prec@5 16.406 (16.155)
Epoch: [16][2140/7045]	Time 0.200 (0.267)	Data 0.148 (0.206)	Loss 4.8505 (5.0070)	Prec@1 4.297 (4.707)	Prec@5 19.531 (16.153)
Epoch: [16][2150/7045]	Time 0.397 (0.267)	Data 0.346 (0.206)	Loss 5.0379 (5.0070)	Prec@1 5.859 (4.709)	Prec@5 18.359 (16.155)
Epoch: [16][2160/7045]	Time 0.134 (0.268)	Data 0.076 (0.207)	Loss 4.9583 (5.0068)	Prec@1 5.859 (4.708)	Prec@5 16.016 (16.159)
Epoch: [16][2170/7045]	Time 0.155 (0.268)	Data 0.103 (0.207)	Loss 4.9047 (5.0064)	Prec@1 4.688 (4.710)	Prec@5 16.016 (16.167)
Epoch: [16][2180/7045]	Time 0.335 (0.268)	Data 0.284 (0.207)	Loss 4.9619 (5.0063)	Prec@1 4.297 (4.711)	Prec@5 16.797 (16.171)
Epoch: [16][2190/7045]	Time 0.101 (0.268)	Data 0.009 (0.207)	Loss 4.9566 (5.0063)	Prec@1 5.078 (4.710)	Prec@5 18.359 (16.166)
Epoch: [16][2200/7045]	Time 0.274 (0.268)	Data 0.225 (0.207)	Loss 5.0625 (5.0065)	Prec@1 5.469 (4.711)	Prec@5 15.625 (16.163)
Epoch: [16][2210/7045]	Time 0.129 (0.267)	Data 0.078 (0.206)	Loss 4.8261 (5.0064)	Prec@1 5.469 (4.713)	Prec@5 21.875 (16.166)
Epoch: [16][2220/7045]	Time 0.554 (0.267)	Data 0.503 (0.207)	Loss 4.8993 (5.0062)	Prec@1 5.859 (4.715)	Prec@5 16.797 (16.168)
Epoch: [16][2230/7045]	Time 0.112 (0.268)	Data 0.001 (0.207)	Loss 4.9433 (5.0060)	Prec@1 2.734 (4.713)	Prec@5 14.844 (16.172)
Epoch: [16][2240/7045]	Time 0.587 (0.268)	Data 0.536 (0.207)	Loss 5.0663 (5.0061)	Prec@1 5.469 (4.717)	Prec@5 12.891 (16.174)
Epoch: [16][2250/7045]	Time 0.245 (0.268)	Data 0.194 (0.207)	Loss 4.9254 (5.0058)	Prec@1 5.469 (4.718)	Prec@5 14.062 (16.174)
Epoch: [16][2260/7045]	Time 0.349 (0.268)	Data 0.295 (0.207)	Loss 4.9197 (5.0060)	Prec@1 6.250 (4.717)	Prec@5 19.922 (16.173)
Epoch: [16][2270/7045]	Time 0.342 (0.268)	Data 0.291 (0.207)	Loss 4.9988 (5.0061)	Prec@1 5.469 (4.718)	Prec@5 19.531 (16.175)
Epoch: [16][2280/7045]	Time 0.132 (0.268)	Data 0.080 (0.207)	Loss 4.9525 (5.0063)	Prec@1 5.859 (4.716)	Prec@5 17.969 (16.170)
Epoch: [16][2290/7045]	Time 0.312 (0.268)	Data 0.262 (0.207)	Loss 4.9659 (5.0064)	Prec@1 3.125 (4.714)	Prec@5 17.969 (16.170)
Epoch: [16][2300/7045]	Time 0.307 (0.268)	Data 0.255 (0.207)	Loss 4.8320 (5.0063)	Prec@1 6.250 (4.714)	Prec@5 19.141 (16.171)
Epoch: [16][2310/7045]	Time 0.256 (0.268)	Data 0.206 (0.207)	Loss 5.0225 (5.0063)	Prec@1 5.078 (4.716)	Prec@5 13.281 (16.173)
Epoch: [16][2320/7045]	Time 0.366 (0.268)	Data 0.316 (0.208)	Loss 4.9338 (5.0061)	Prec@1 3.125 (4.715)	Prec@5 17.578 (16.179)
Epoch: [16][2330/7045]	Time 0.101 (0.268)	Data 0.049 (0.207)	Loss 5.0645 (5.0058)	Prec@1 5.859 (4.719)	Prec@5 17.188 (16.188)
Epoch: [16][2340/7045]	Time 0.111 (0.268)	Data 0.059 (0.207)	Loss 5.0447 (5.0056)	Prec@1 2.734 (4.717)	Prec@5 12.891 (16.188)
Epoch: [16][2350/7045]	Time 0.260 (0.268)	Data 0.206 (0.207)	Loss 4.8876 (5.0053)	Prec@1 4.688 (4.717)	Prec@5 17.188 (16.191)
Epoch: [16][2360/7045]	Time 0.139 (0.268)	Data 0.088 (0.208)	Loss 4.9960 (5.0052)	Prec@1 5.469 (4.721)	Prec@5 15.234 (16.197)
Epoch: [16][2370/7045]	Time 0.225 (0.268)	Data 0.173 (0.207)	Loss 5.1584 (5.0053)	Prec@1 4.297 (4.720)	Prec@5 13.672 (16.197)
Epoch: [16][2380/7045]	Time 0.204 (0.268)	Data 0.153 (0.207)	Loss 5.0136 (5.0052)	Prec@1 5.859 (4.721)	Prec@5 19.141 (16.200)
Epoch: [16][2390/7045]	Time 0.109 (0.269)	Data 0.001 (0.208)	Loss 5.0225 (5.0052)	Prec@1 2.734 (4.722)	Prec@5 16.797 (16.203)
Epoch: [16][2400/7045]	Time 0.265 (0.269)	Data 0.215 (0.208)	Loss 4.9128 (5.0054)	Prec@1 7.422 (4.718)	Prec@5 21.094 (16.196)
Epoch: [16][2410/7045]	Time 0.245 (0.269)	Data 0.194 (0.208)	Loss 4.9903 (5.0055)	Prec@1 4.688 (4.718)	Prec@5 19.141 (16.196)
Epoch: [16][2420/7045]	Time 0.262 (0.269)	Data 0.210 (0.208)	Loss 5.0780 (5.0056)	Prec@1 2.344 (4.715)	Prec@5 12.891 (16.192)
Epoch: [16][2430/7045]	Time 0.203 (0.269)	Data 0.153 (0.208)	Loss 5.0011 (5.0056)	Prec@1 3.516 (4.716)	Prec@5 16.797 (16.193)
Epoch: [16][2440/7045]	Time 0.246 (0.269)	Data 0.194 (0.208)	Loss 4.9287 (5.0053)	Prec@1 5.469 (4.719)	Prec@5 19.141 (16.198)
Epoch: [16][2450/7045]	Time 0.252 (0.269)	Data 0.201 (0.209)	Loss 4.8803 (5.0052)	Prec@1 5.469 (4.720)	Prec@5 16.797 (16.196)
Epoch: [16][2460/7045]	Time 0.189 (0.269)	Data 0.138 (0.209)	Loss 4.8393 (5.0050)	Prec@1 5.078 (4.724)	Prec@5 19.141 (16.200)
Epoch: [16][2470/7045]	Time 0.192 (0.269)	Data 0.141 (0.208)	Loss 5.0447 (5.0048)	Prec@1 3.516 (4.724)	Prec@5 13.672 (16.202)
Epoch: [16][2480/7045]	Time 0.101 (0.269)	Data 0.008 (0.208)	Loss 4.9058 (5.0048)	Prec@1 4.688 (4.724)	Prec@5 18.359 (16.205)
Epoch: [16][2490/7045]	Time 0.123 (0.269)	Data 0.071 (0.208)	Loss 5.0483 (5.0049)	Prec@1 3.125 (4.722)	Prec@5 16.016 (16.202)
Epoch: [16][2500/7045]	Time 0.111 (0.269)	Data 0.060 (0.208)	Loss 5.0096 (5.0050)	Prec@1 2.734 (4.720)	Prec@5 15.234 (16.200)
Epoch: [16][2510/7045]	Time 0.410 (0.269)	Data 0.352 (0.208)	Loss 4.8951 (5.0048)	Prec@1 5.469 (4.720)	Prec@5 17.578 (16.201)
Epoch: [16][2520/7045]	Time 0.125 (0.269)	Data 0.073 (0.208)	Loss 5.1037 (5.0048)	Prec@1 3.906 (4.719)	Prec@5 14.453 (16.202)
Epoch: [16][2530/7045]	Time 0.320 (0.269)	Data 0.270 (0.208)	Loss 5.0598 (5.0047)	Prec@1 2.344 (4.721)	Prec@5 13.672 (16.205)
Epoch: [16][2540/7045]	Time 0.261 (0.269)	Data 0.210 (0.208)	Loss 5.0417 (5.0046)	Prec@1 5.078 (4.721)	Prec@5 15.234 (16.205)
Epoch: [16][2550/7045]	Time 0.276 (0.269)	Data 0.225 (0.208)	Loss 5.0694 (5.0047)	Prec@1 3.906 (4.718)	Prec@5 13.672 (16.203)
Epoch: [16][2560/7045]	Time 0.172 (0.269)	Data 0.121 (0.208)	Loss 5.0162 (5.0047)	Prec@1 4.688 (4.716)	Prec@5 14.844 (16.201)
Epoch: [16][2570/7045]	Time 0.184 (0.269)	Data 0.133 (0.208)	Loss 5.0380 (5.0046)	Prec@1 4.688 (4.717)	Prec@5 17.969 (16.201)
Epoch: [16][2580/7045]	Time 0.151 (0.268)	Data 0.099 (0.208)	Loss 4.7714 (5.0045)	Prec@1 6.250 (4.718)	Prec@5 19.141 (16.201)
Epoch: [16][2590/7045]	Time 0.284 (0.268)	Data 0.233 (0.208)	Loss 4.9884 (5.0043)	Prec@1 6.641 (4.722)	Prec@5 17.578 (16.208)
Epoch: [16][2600/7045]	Time 0.104 (0.269)	Data 0.052 (0.208)	Loss 4.9369 (5.0044)	Prec@1 5.078 (4.722)	Prec@5 21.484 (16.209)
Epoch: [16][2610/7045]	Time 0.318 (0.269)	Data 0.267 (0.208)	Loss 5.1909 (5.0047)	Prec@1 5.078 (4.720)	Prec@5 13.281 (16.207)
Epoch: [16][2620/7045]	Time 0.100 (0.269)	Data 0.001 (0.208)	Loss 4.9773 (5.0046)	Prec@1 4.688 (4.721)	Prec@5 15.234 (16.206)
Epoch: [16][2630/7045]	Time 0.353 (0.268)	Data 0.301 (0.208)	Loss 5.0565 (5.0046)	Prec@1 4.297 (4.720)	Prec@5 13.672 (16.209)
Epoch: [16][2640/7045]	Time 0.101 (0.268)	Data 0.006 (0.208)	Loss 4.9654 (5.0045)	Prec@1 5.859 (4.723)	Prec@5 16.797 (16.213)
Epoch: [16][2650/7045]	Time 0.390 (0.268)	Data 0.339 (0.208)	Loss 5.0799 (5.0044)	Prec@1 5.078 (4.723)	Prec@5 14.062 (16.211)
Epoch: [16][2660/7045]	Time 0.101 (0.268)	Data 0.005 (0.208)	Loss 4.9046 (5.0043)	Prec@1 5.859 (4.726)	Prec@5 16.406 (16.214)
Epoch: [16][2670/7045]	Time 1.364 (0.269)	Data 1.313 (0.208)	Loss 4.9913 (5.0043)	Prec@1 3.516 (4.725)	Prec@5 16.797 (16.211)
Epoch: [16][2680/7045]	Time 0.101 (0.268)	Data 0.044 (0.208)	Loss 4.9423 (5.0040)	Prec@1 4.688 (4.726)	Prec@5 16.406 (16.217)
Epoch: [16][2690/7045]	Time 0.102 (0.268)	Data 0.001 (0.208)	Loss 5.1850 (5.0041)	Prec@1 3.906 (4.725)	Prec@5 14.453 (16.219)
Epoch: [16][2700/7045]	Time 0.100 (0.268)	Data 0.045 (0.208)	Loss 5.0249 (5.0042)	Prec@1 6.641 (4.727)	Prec@5 15.625 (16.217)
Epoch: [16][2710/7045]	Time 0.155 (0.268)	Data 0.103 (0.208)	Loss 5.0750 (5.0041)	Prec@1 4.297 (4.727)	Prec@5 16.016 (16.218)
Epoch: [16][2720/7045]	Time 0.112 (0.268)	Data 0.060 (0.207)	Loss 4.9610 (5.0042)	Prec@1 3.125 (4.723)	Prec@5 17.578 (16.213)
Epoch: [16][2730/7045]	Time 0.455 (0.269)	Data 0.404 (0.208)	Loss 5.0083 (5.0042)	Prec@1 4.688 (4.722)	Prec@5 17.578 (16.212)
Epoch: [16][2740/7045]	Time 0.101 (0.269)	Data 0.001 (0.208)	Loss 5.0113 (5.0043)	Prec@1 4.688 (4.722)	Prec@5 18.359 (16.213)
Epoch: [16][2750/7045]	Time 0.492 (0.269)	Data 0.440 (0.208)	Loss 5.0747 (5.0042)	Prec@1 3.125 (4.721)	Prec@5 14.844 (16.217)
Epoch: [16][2760/7045]	Time 0.143 (0.268)	Data 0.091 (0.208)	Loss 4.9867 (5.0043)	Prec@1 4.297 (4.721)	Prec@5 16.406 (16.214)
Epoch: [16][2770/7045]	Time 0.283 (0.268)	Data 0.232 (0.208)	Loss 4.9963 (5.0043)	Prec@1 5.469 (4.720)	Prec@5 16.016 (16.216)
Epoch: [16][2780/7045]	Time 0.807 (0.268)	Data 0.756 (0.208)	Loss 4.8036 (5.0043)	Prec@1 8.203 (4.722)	Prec@5 19.141 (16.218)
Epoch: [16][2790/7045]	Time 0.146 (0.268)	Data 0.094 (0.208)	Loss 4.8732 (5.0040)	Prec@1 6.641 (4.724)	Prec@5 20.312 (16.221)
Epoch: [16][2800/7045]	Time 0.453 (0.269)	Data 0.402 (0.208)	Loss 5.0665 (5.0038)	Prec@1 3.516 (4.724)	Prec@5 14.062 (16.223)
Epoch: [16][2810/7045]	Time 0.108 (0.269)	Data 0.055 (0.208)	Loss 4.8829 (5.0039)	Prec@1 4.688 (4.723)	Prec@5 13.672 (16.220)
Epoch: [16][2820/7045]	Time 0.223 (0.269)	Data 0.171 (0.208)	Loss 5.0594 (5.0038)	Prec@1 3.516 (4.723)	Prec@5 16.797 (16.221)
Epoch: [16][2830/7045]	Time 0.102 (0.269)	Data 0.003 (0.208)	Loss 5.0876 (5.0040)	Prec@1 3.906 (4.723)	Prec@5 13.281 (16.219)
Epoch: [16][2840/7045]	Time 0.186 (0.269)	Data 0.135 (0.208)	Loss 4.8422 (5.0038)	Prec@1 6.641 (4.724)	Prec@5 15.625 (16.222)
Epoch: [16][2850/7045]	Time 0.117 (0.269)	Data 0.067 (0.208)	Loss 5.1200 (5.0040)	Prec@1 1.953 (4.721)	Prec@5 13.281 (16.217)
Epoch: [16][2860/7045]	Time 0.169 (0.269)	Data 0.117 (0.208)	Loss 5.0109 (5.0041)	Prec@1 5.078 (4.722)	Prec@5 19.531 (16.218)
Epoch: [16][2870/7045]	Time 0.101 (0.269)	Data 0.001 (0.208)	Loss 4.8708 (5.0039)	Prec@1 7.031 (4.723)	Prec@5 18.359 (16.221)
Epoch: [16][2880/7045]	Time 0.159 (0.269)	Data 0.107 (0.208)	Loss 5.0098 (5.0040)	Prec@1 4.688 (4.722)	Prec@5 16.797 (16.220)
Epoch: [16][2890/7045]	Time 0.330 (0.269)	Data 0.278 (0.208)	Loss 4.9822 (5.0041)	Prec@1 2.344 (4.718)	Prec@5 16.406 (16.211)
Epoch: [16][2900/7045]	Time 0.439 (0.269)	Data 0.387 (0.208)	Loss 5.0042 (5.0043)	Prec@1 3.906 (4.717)	Prec@5 15.625 (16.205)
Epoch: [16][2910/7045]	Time 0.150 (0.268)	Data 0.099 (0.208)	Loss 4.8727 (5.0042)	Prec@1 5.469 (4.719)	Prec@5 19.141 (16.208)
Epoch: [16][2920/7045]	Time 0.408 (0.268)	Data 0.352 (0.208)	Loss 5.0920 (5.0042)	Prec@1 3.906 (4.719)	Prec@5 13.281 (16.208)
Epoch: [16][2930/7045]	Time 0.186 (0.269)	Data 0.135 (0.208)	Loss 5.1331 (5.0042)	Prec@1 6.250 (4.718)	Prec@5 16.406 (16.207)
Epoch: [16][2940/7045]	Time 0.174 (0.269)	Data 0.123 (0.208)	Loss 5.0973 (5.0041)	Prec@1 4.688 (4.719)	Prec@5 17.188 (16.205)
Epoch: [16][2950/7045]	Time 0.254 (0.269)	Data 0.203 (0.208)	Loss 4.9805 (5.0040)	Prec@1 3.906 (4.719)	Prec@5 14.844 (16.208)
Epoch: [16][2960/7045]	Time 0.101 (0.269)	Data 0.001 (0.208)	Loss 4.9869 (5.0040)	Prec@1 2.344 (4.718)	Prec@5 15.625 (16.206)
Epoch: [16][2970/7045]	Time 0.185 (0.269)	Data 0.134 (0.208)	Loss 5.0747 (5.0041)	Prec@1 3.516 (4.717)	Prec@5 12.891 (16.202)
Epoch: [16][2980/7045]	Time 0.476 (0.269)	Data 0.426 (0.208)	Loss 5.0170 (5.0042)	Prec@1 5.078 (4.716)	Prec@5 16.016 (16.202)
Epoch: [16][2990/7045]	Time 0.110 (0.268)	Data 0.058 (0.208)	Loss 5.1893 (5.0044)	Prec@1 2.344 (4.713)	Prec@5 9.766 (16.195)
Epoch: [16][3000/7045]	Time 0.571 (0.268)	Data 0.515 (0.208)	Loss 5.0971 (5.0045)	Prec@1 3.906 (4.711)	Prec@5 13.672 (16.193)
Epoch: [16][3010/7045]	Time 0.102 (0.269)	Data 0.001 (0.208)	Loss 4.9311 (5.0045)	Prec@1 4.688 (4.709)	Prec@5 16.016 (16.188)
Epoch: [16][3020/7045]	Time 0.697 (0.269)	Data 0.647 (0.208)	Loss 4.9867 (5.0044)	Prec@1 5.859 (4.710)	Prec@5 17.188 (16.193)
Epoch: [16][3030/7045]	Time 0.101 (0.269)	Data 0.001 (0.208)	Loss 5.0755 (5.0044)	Prec@1 2.344 (4.710)	Prec@5 13.281 (16.195)
Epoch: [16][3040/7045]	Time 0.446 (0.269)	Data 0.394 (0.208)	Loss 4.9639 (5.0045)	Prec@1 3.906 (4.710)	Prec@5 16.797 (16.195)
Epoch: [16][3050/7045]	Time 0.102 (0.269)	Data 0.006 (0.208)	Loss 4.9505 (5.0045)	Prec@1 3.125 (4.710)	Prec@5 16.797 (16.195)
Epoch: [16][3060/7045]	Time 0.431 (0.269)	Data 0.379 (0.208)	Loss 5.0187 (5.0045)	Prec@1 3.125 (4.709)	Prec@5 14.062 (16.193)
Epoch: [16][3070/7045]	Time 0.156 (0.269)	Data 0.105 (0.208)	Loss 4.9463 (5.0044)	Prec@1 2.734 (4.709)	Prec@5 13.281 (16.193)
Epoch: [16][3080/7045]	Time 0.516 (0.269)	Data 0.464 (0.208)	Loss 5.0549 (5.0045)	Prec@1 5.078 (4.709)	Prec@5 16.797 (16.192)
Epoch: [16][3090/7045]	Time 0.101 (0.269)	Data 0.001 (0.208)	Loss 4.8443 (5.0045)	Prec@1 7.031 (4.709)	Prec@5 19.922 (16.193)
Epoch: [16][3100/7045]	Time 0.237 (0.269)	Data 0.185 (0.208)	Loss 4.9401 (5.0043)	Prec@1 4.688 (4.711)	Prec@5 14.844 (16.196)
Epoch: [16][3110/7045]	Time 0.148 (0.269)	Data 0.097 (0.208)	Loss 5.2313 (5.0044)	Prec@1 4.688 (4.710)	Prec@5 15.234 (16.196)
Epoch: [16][3120/7045]	Time 0.102 (0.269)	Data 0.001 (0.208)	Loss 4.9493 (5.0045)	Prec@1 7.031 (4.709)	Prec@5 17.969 (16.192)
Epoch: [16][3130/7045]	Time 0.306 (0.269)	Data 0.256 (0.208)	Loss 4.9835 (5.0048)	Prec@1 5.469 (4.705)	Prec@5 15.625 (16.187)
Epoch: [16][3140/7045]	Time 0.102 (0.269)	Data 0.003 (0.208)	Loss 4.9856 (5.0048)	Prec@1 6.641 (4.706)	Prec@5 18.750 (16.187)
Epoch: [16][3150/7045]	Time 0.305 (0.269)	Data 0.254 (0.208)	Loss 5.0903 (5.0048)	Prec@1 4.688 (4.706)	Prec@5 12.500 (16.187)
Epoch: [16][3160/7045]	Time 0.103 (0.269)	Data 0.005 (0.208)	Loss 5.0750 (5.0048)	Prec@1 3.125 (4.705)	Prec@5 13.281 (16.187)
Epoch: [16][3170/7045]	Time 0.337 (0.270)	Data 0.287 (0.209)	Loss 5.0821 (5.0049)	Prec@1 5.469 (4.707)	Prec@5 14.844 (16.186)
Epoch: [16][3180/7045]	Time 0.118 (0.270)	Data 0.067 (0.209)	Loss 5.0446 (5.0050)	Prec@1 4.688 (4.704)	Prec@5 16.016 (16.182)
Epoch: [16][3190/7045]	Time 0.276 (0.270)	Data 0.224 (0.209)	Loss 5.0846 (5.0052)	Prec@1 3.516 (4.702)	Prec@5 16.797 (16.178)
Epoch: [16][3200/7045]	Time 0.102 (0.270)	Data 0.050 (0.209)	Loss 4.8880 (5.0052)	Prec@1 5.078 (4.700)	Prec@5 15.234 (16.178)
Epoch: [16][3210/7045]	Time 0.132 (0.270)	Data 0.079 (0.209)	Loss 4.7941 (5.0052)	Prec@1 6.641 (4.701)	Prec@5 20.312 (16.180)
Epoch: [16][3220/7045]	Time 0.102 (0.270)	Data 0.001 (0.209)	Loss 5.0685 (5.0052)	Prec@1 7.812 (4.703)	Prec@5 16.797 (16.178)
Epoch: [16][3230/7045]	Time 0.236 (0.270)	Data 0.185 (0.209)	Loss 5.0684 (5.0055)	Prec@1 5.859 (4.702)	Prec@5 16.406 (16.175)
Epoch: [16][3240/7045]	Time 0.368 (0.270)	Data 0.317 (0.209)	Loss 4.8916 (5.0053)	Prec@1 6.250 (4.704)	Prec@5 18.359 (16.178)
Epoch: [16][3250/7045]	Time 0.152 (0.270)	Data 0.100 (0.209)	Loss 5.0205 (5.0053)	Prec@1 5.469 (4.702)	Prec@5 16.797 (16.174)
Epoch: [16][3260/7045]	Time 0.378 (0.270)	Data 0.326 (0.209)	Loss 4.8020 (5.0051)	Prec@1 7.031 (4.703)	Prec@5 17.969 (16.176)
Epoch: [16][3270/7045]	Time 0.293 (0.270)	Data 0.243 (0.209)	Loss 4.8397 (5.0049)	Prec@1 6.641 (4.703)	Prec@5 21.875 (16.180)
Epoch: [16][3280/7045]	Time 0.194 (0.270)	Data 0.143 (0.209)	Loss 5.0108 (5.0049)	Prec@1 4.688 (4.703)	Prec@5 16.016 (16.178)
Epoch: [16][3290/7045]	Time 0.336 (0.270)	Data 0.279 (0.210)	Loss 5.1345 (5.0050)	Prec@1 5.078 (4.702)	Prec@5 12.891 (16.174)
Epoch: [16][3300/7045]	Time 0.306 (0.270)	Data 0.256 (0.209)	Loss 4.9688 (5.0052)	Prec@1 4.688 (4.701)	Prec@5 17.578 (16.172)
Epoch: [16][3310/7045]	Time 0.109 (0.270)	Data 0.006 (0.209)	Loss 5.0135 (5.0051)	Prec@1 3.516 (4.700)	Prec@5 14.453 (16.168)
Epoch: [16][3320/7045]	Time 0.104 (0.270)	Data 0.052 (0.209)	Loss 5.1376 (5.0052)	Prec@1 1.562 (4.697)	Prec@5 14.453 (16.167)
Epoch: [16][3330/7045]	Time 0.342 (0.270)	Data 0.282 (0.209)	Loss 4.9738 (5.0051)	Prec@1 5.469 (4.697)	Prec@5 15.625 (16.165)
Epoch: [16][3340/7045]	Time 0.194 (0.270)	Data 0.142 (0.210)	Loss 4.9582 (5.0049)	Prec@1 5.078 (4.700)	Prec@5 16.797 (16.169)
Epoch: [16][3350/7045]	Time 0.184 (0.270)	Data 0.134 (0.209)	Loss 4.7702 (5.0048)	Prec@1 7.812 (4.701)	Prec@5 22.266 (16.174)
Epoch: [16][3360/7045]	Time 0.584 (0.270)	Data 0.531 (0.209)	Loss 4.8591 (5.0047)	Prec@1 5.469 (4.702)	Prec@5 18.750 (16.177)
Epoch: [16][3370/7045]	Time 0.219 (0.270)	Data 0.168 (0.209)	Loss 4.9819 (5.0047)	Prec@1 5.078 (4.701)	Prec@5 16.406 (16.174)
Epoch: [16][3380/7045]	Time 0.186 (0.270)	Data 0.134 (0.209)	Loss 5.0117 (5.0047)	Prec@1 5.078 (4.701)	Prec@5 14.062 (16.172)
Epoch: [16][3390/7045]	Time 0.321 (0.270)	Data 0.270 (0.209)	Loss 5.1048 (5.0048)	Prec@1 4.297 (4.699)	Prec@5 12.500 (16.168)
Epoch: [16][3400/7045]	Time 0.101 (0.270)	Data 0.003 (0.209)	Loss 5.0077 (5.0050)	Prec@1 5.469 (4.699)	Prec@5 17.188 (16.164)
Epoch: [16][3410/7045]	Time 0.254 (0.270)	Data 0.203 (0.209)	Loss 5.2379 (5.0053)	Prec@1 4.688 (4.698)	Prec@5 12.500 (16.157)
Epoch: [16][3420/7045]	Time 0.101 (0.270)	Data 0.001 (0.209)	Loss 4.9300 (5.0055)	Prec@1 5.469 (4.697)	Prec@5 17.578 (16.153)
Epoch: [16][3430/7045]	Time 0.102 (0.270)	Data 0.006 (0.209)	Loss 4.8925 (5.0056)	Prec@1 5.078 (4.695)	Prec@5 18.750 (16.154)
Epoch: [16][3440/7045]	Time 0.142 (0.270)	Data 0.090 (0.209)	Loss 5.0211 (5.0056)	Prec@1 3.906 (4.695)	Prec@5 14.844 (16.156)
Epoch: [16][3450/7045]	Time 0.102 (0.270)	Data 0.006 (0.209)	Loss 5.0351 (5.0056)	Prec@1 5.078 (4.694)	Prec@5 16.797 (16.155)
Epoch: [16][3460/7045]	Time 0.101 (0.270)	Data 0.005 (0.209)	Loss 4.9142 (5.0056)	Prec@1 3.906 (4.694)	Prec@5 14.062 (16.156)
Epoch: [16][3470/7045]	Time 0.106 (0.270)	Data 0.054 (0.209)	Loss 5.0898 (5.0057)	Prec@1 5.078 (4.694)	Prec@5 15.234 (16.158)
Epoch: [16][3480/7045]	Time 0.101 (0.270)	Data 0.008 (0.209)	Loss 5.0869 (5.0058)	Prec@1 3.906 (4.694)	Prec@5 16.797 (16.159)
Epoch: [16][3490/7045]	Time 0.101 (0.270)	Data 0.001 (0.209)	Loss 4.8994 (5.0058)	Prec@1 7.812 (4.695)	Prec@5 21.875 (16.160)
Epoch: [16][3500/7045]	Time 0.105 (0.270)	Data 0.053 (0.209)	Loss 5.0808 (5.0058)	Prec@1 2.734 (4.694)	Prec@5 13.281 (16.159)
Epoch: [16][3510/7045]	Time 0.170 (0.271)	Data 0.119 (0.209)	Loss 4.9912 (5.0058)	Prec@1 2.734 (4.692)	Prec@5 12.500 (16.154)
Epoch: [16][3520/7045]	Time 0.187 (0.270)	Data 0.135 (0.209)	Loss 4.9449 (5.0058)	Prec@1 5.078 (4.690)	Prec@5 17.969 (16.150)
Epoch: [16][3530/7045]	Time 0.381 (0.270)	Data 0.330 (0.209)	Loss 5.0419 (5.0059)	Prec@1 3.516 (4.688)	Prec@5 12.500 (16.147)
Epoch: [16][3540/7045]	Time 0.211 (0.270)	Data 0.161 (0.209)	Loss 5.0996 (5.0061)	Prec@1 6.250 (4.688)	Prec@5 14.062 (16.145)
Epoch: [16][3550/7045]	Time 0.379 (0.270)	Data 0.327 (0.209)	Loss 4.9934 (5.0062)	Prec@1 7.422 (4.688)	Prec@5 19.531 (16.141)
Epoch: [16][3560/7045]	Time 0.251 (0.270)	Data 0.199 (0.209)	Loss 5.0973 (5.0063)	Prec@1 3.906 (4.685)	Prec@5 14.453 (16.137)
Epoch: [16][3570/7045]	Time 0.354 (0.270)	Data 0.297 (0.209)	Loss 4.8636 (5.0062)	Prec@1 3.125 (4.686)	Prec@5 16.797 (16.138)
Epoch: [16][3580/7045]	Time 2.730 (0.271)	Data 2.678 (0.210)	Loss 5.0844 (5.0066)	Prec@1 3.125 (4.683)	Prec@5 15.234 (16.133)
Epoch: [16][3590/7045]	Time 0.101 (0.271)	Data 0.006 (0.210)	Loss 5.1076 (5.0068)	Prec@1 3.125 (4.681)	Prec@5 14.453 (16.131)
Epoch: [16][3600/7045]	Time 0.102 (0.271)	Data 0.001 (0.210)	Loss 5.0277 (5.0070)	Prec@1 5.469 (4.679)	Prec@5 16.797 (16.128)
Epoch: [16][3610/7045]	Time 0.131 (0.271)	Data 0.074 (0.210)	Loss 5.0394 (5.0070)	Prec@1 5.078 (4.679)	Prec@5 15.234 (16.128)
Epoch: [16][3620/7045]	Time 0.153 (0.271)	Data 0.101 (0.210)	Loss 5.1418 (5.0072)	Prec@1 3.906 (4.678)	Prec@5 9.766 (16.126)
Epoch: [16][3630/7045]	Time 0.126 (0.271)	Data 0.074 (0.210)	Loss 5.0955 (5.0071)	Prec@1 2.734 (4.678)	Prec@5 15.625 (16.125)
Epoch: [16][3640/7045]	Time 0.271 (0.271)	Data 0.219 (0.210)	Loss 5.0679 (5.0070)	Prec@1 3.516 (4.676)	Prec@5 16.016 (16.124)
Epoch: [16][3650/7045]	Time 0.234 (0.271)	Data 0.176 (0.210)	Loss 4.9567 (5.0069)	Prec@1 6.250 (4.677)	Prec@5 14.453 (16.126)
Epoch: [16][3660/7045]	Time 0.168 (0.271)	Data 0.114 (0.210)	Loss 5.0545 (5.0069)	Prec@1 3.516 (4.677)	Prec@5 17.969 (16.128)
Epoch: [16][3670/7045]	Time 0.127 (0.271)	Data 0.073 (0.210)	Loss 5.0154 (5.0068)	Prec@1 4.297 (4.678)	Prec@5 16.797 (16.126)
Epoch: [16][3680/7045]	Time 0.467 (0.271)	Data 0.416 (0.210)	Loss 4.9700 (5.0069)	Prec@1 4.297 (4.678)	Prec@5 17.188 (16.128)
Epoch: [16][3690/7045]	Time 0.110 (0.271)	Data 0.001 (0.210)	Loss 5.1509 (5.0070)	Prec@1 4.297 (4.677)	Prec@5 16.406 (16.127)
Epoch: [16][3700/7045]	Time 0.616 (0.271)	Data 0.564 (0.210)	Loss 5.0485 (5.0070)	Prec@1 4.297 (4.677)	Prec@5 15.234 (16.125)
Epoch: [16][3710/7045]	Time 0.102 (0.271)	Data 0.001 (0.210)	Loss 4.8735 (5.0071)	Prec@1 6.250 (4.677)	Prec@5 20.312 (16.122)
Epoch: [16][3720/7045]	Time 2.130 (0.271)	Data 2.078 (0.210)	Loss 4.9731 (5.0072)	Prec@1 7.031 (4.676)	Prec@5 14.062 (16.119)
Epoch: [16][3730/7045]	Time 0.106 (0.271)	Data 0.053 (0.210)	Loss 4.9979 (5.0073)	Prec@1 4.688 (4.675)	Prec@5 16.016 (16.117)
Epoch: [16][3740/7045]	Time 0.363 (0.271)	Data 0.312 (0.210)	Loss 5.0167 (5.0072)	Prec@1 6.250 (4.676)	Prec@5 16.016 (16.118)
Epoch: [16][3750/7045]	Time 0.400 (0.271)	Data 0.343 (0.210)	Loss 5.0426 (5.0072)	Prec@1 3.906 (4.676)	Prec@5 15.625 (16.116)
Epoch: [16][3760/7045]	Time 0.202 (0.271)	Data 0.152 (0.210)	Loss 5.0354 (5.0072)	Prec@1 5.078 (4.678)	Prec@5 14.453 (16.117)
Epoch: [16][3770/7045]	Time 0.248 (0.271)	Data 0.196 (0.210)	Loss 5.0883 (5.0073)	Prec@1 5.078 (4.679)	Prec@5 16.406 (16.116)
Epoch: [16][3780/7045]	Time 0.163 (0.271)	Data 0.112 (0.210)	Loss 4.9799 (5.0075)	Prec@1 4.297 (4.678)	Prec@5 17.188 (16.114)
Epoch: [16][3790/7045]	Time 0.129 (0.271)	Data 0.077 (0.210)	Loss 4.9554 (5.0074)	Prec@1 5.859 (4.679)	Prec@5 15.625 (16.112)
Epoch: [16][3800/7045]	Time 0.101 (0.271)	Data 0.050 (0.210)	Loss 5.0211 (5.0074)	Prec@1 2.344 (4.679)	Prec@5 13.672 (16.113)
Epoch: [16][3810/7045]	Time 0.306 (0.271)	Data 0.254 (0.210)	Loss 5.0390 (5.0072)	Prec@1 5.078 (4.681)	Prec@5 16.406 (16.113)
Epoch: [16][3820/7045]	Time 0.102 (0.271)	Data 0.001 (0.210)	Loss 4.8593 (5.0070)	Prec@1 4.297 (4.682)	Prec@5 19.141 (16.116)
Epoch: [16][3830/7045]	Time 0.108 (0.271)	Data 0.056 (0.210)	Loss 4.9796 (5.0070)	Prec@1 5.078 (4.682)	Prec@5 14.453 (16.116)
Epoch: [16][3840/7045]	Time 0.253 (0.271)	Data 0.202 (0.210)	Loss 4.8926 (5.0069)	Prec@1 5.078 (4.683)	Prec@5 18.750 (16.117)
Epoch: [16][3850/7045]	Time 0.102 (0.271)	Data 0.008 (0.210)	Loss 5.1593 (5.0068)	Prec@1 4.297 (4.684)	Prec@5 13.672 (16.121)
Epoch: [16][3860/7045]	Time 0.277 (0.271)	Data 0.226 (0.210)	Loss 5.1690 (5.0068)	Prec@1 4.297 (4.683)	Prec@5 13.281 (16.118)
Epoch: [16][3870/7045]	Time 0.142 (0.271)	Data 0.090 (0.210)	Loss 5.0412 (5.0070)	Prec@1 4.297 (4.681)	Prec@5 14.844 (16.112)
Epoch: [16][3880/7045]	Time 0.259 (0.271)	Data 0.209 (0.210)	Loss 5.0925 (5.0071)	Prec@1 5.469 (4.680)	Prec@5 14.062 (16.108)
Epoch: [16][3890/7045]	Time 0.216 (0.271)	Data 0.165 (0.210)	Loss 4.9001 (5.0070)	Prec@1 7.812 (4.681)	Prec@5 17.188 (16.109)
Epoch: [16][3900/7045]	Time 0.123 (0.271)	Data 0.070 (0.210)	Loss 5.0254 (5.0071)	Prec@1 4.688 (4.681)	Prec@5 14.062 (16.105)
Epoch: [16][3910/7045]	Time 0.466 (0.271)	Data 0.413 (0.210)	Loss 5.1756 (5.0071)	Prec@1 4.297 (4.683)	Prec@5 15.234 (16.107)
Epoch: [16][3920/7045]	Time 0.207 (0.271)	Data 0.149 (0.210)	Loss 5.0068 (5.0071)	Prec@1 2.734 (4.683)	Prec@5 14.453 (16.106)
Epoch: [16][3930/7045]	Time 0.489 (0.271)	Data 0.436 (0.210)	Loss 5.0061 (5.0072)	Prec@1 5.078 (4.682)	Prec@5 15.234 (16.103)
Epoch: [16][3940/7045]	Time 0.309 (0.271)	Data 0.259 (0.210)	Loss 5.0301 (5.0072)	Prec@1 6.250 (4.683)	Prec@5 18.359 (16.104)
Epoch: [16][3950/7045]	Time 0.362 (0.271)	Data 0.311 (0.210)	Loss 4.9062 (5.0072)	Prec@1 3.516 (4.682)	Prec@5 17.188 (16.106)
Epoch: [16][3960/7045]	Time 0.102 (0.271)	Data 0.012 (0.210)	Loss 4.9944 (5.0072)	Prec@1 5.469 (4.682)	Prec@5 16.016 (16.104)
Epoch: [16][3970/7045]	Time 0.204 (0.271)	Data 0.153 (0.210)	Loss 4.8697 (5.0071)	Prec@1 5.469 (4.684)	Prec@5 18.359 (16.109)
Epoch: [16][3980/7045]	Time 0.101 (0.271)	Data 0.005 (0.210)	Loss 5.1397 (5.0072)	Prec@1 1.953 (4.683)	Prec@5 11.719 (16.106)
Epoch: [16][3990/7045]	Time 0.293 (0.271)	Data 0.242 (0.210)	Loss 5.0394 (5.0073)	Prec@1 3.125 (4.683)	Prec@5 12.500 (16.107)
Epoch: [16][4000/7045]	Time 0.285 (0.271)	Data 0.233 (0.210)	Loss 5.0112 (5.0074)	Prec@1 4.297 (4.683)	Prec@5 15.234 (16.109)
Epoch: [16][4010/7045]	Time 0.196 (0.271)	Data 0.146 (0.210)	Loss 5.0773 (5.0074)	Prec@1 3.906 (4.684)	Prec@5 14.062 (16.111)
Epoch: [16][4020/7045]	Time 0.194 (0.271)	Data 0.144 (0.210)	Loss 4.9161 (5.0073)	Prec@1 3.906 (4.684)	Prec@5 14.062 (16.112)
Epoch: [16][4030/7045]	Time 0.223 (0.271)	Data 0.173 (0.210)	Loss 4.9616 (5.0071)	Prec@1 3.125 (4.684)	Prec@5 16.406 (16.115)
Epoch: [16][4040/7045]	Time 0.119 (0.271)	Data 0.061 (0.210)	Loss 5.0021 (5.0070)	Prec@1 4.688 (4.686)	Prec@5 14.062 (16.115)
Epoch: [16][4050/7045]	Time 0.432 (0.271)	Data 0.379 (0.210)	Loss 4.9170 (5.0069)	Prec@1 4.688 (4.689)	Prec@5 20.312 (16.119)
Epoch: [16][4060/7045]	Time 0.109 (0.271)	Data 0.001 (0.210)	Loss 4.9179 (5.0067)	Prec@1 2.344 (4.690)	Prec@5 16.016 (16.120)
Epoch: [16][4070/7045]	Time 0.615 (0.271)	Data 0.556 (0.210)	Loss 5.1206 (5.0067)	Prec@1 2.734 (4.689)	Prec@5 14.453 (16.119)
Epoch: [16][4080/7045]	Time 0.101 (0.271)	Data 0.005 (0.210)	Loss 4.9357 (5.0068)	Prec@1 5.859 (4.689)	Prec@5 18.750 (16.116)
Epoch: [16][4090/7045]	Time 0.397 (0.271)	Data 0.346 (0.210)	Loss 4.9504 (5.0067)	Prec@1 7.031 (4.689)	Prec@5 17.578 (16.115)
Epoch: [16][4100/7045]	Time 0.102 (0.271)	Data 0.006 (0.210)	Loss 5.0543 (5.0067)	Prec@1 6.250 (4.692)	Prec@5 15.234 (16.117)
Epoch: [16][4110/7045]	Time 0.162 (0.271)	Data 0.104 (0.210)	Loss 4.9345 (5.0067)	Prec@1 5.469 (4.691)	Prec@5 15.625 (16.119)
Epoch: [16][4120/7045]	Time 0.101 (0.271)	Data 0.007 (0.210)	Loss 4.9842 (5.0066)	Prec@1 5.859 (4.693)	Prec@5 16.406 (16.121)
Epoch: [16][4130/7045]	Time 0.102 (0.271)	Data 0.006 (0.210)	Loss 5.0567 (5.0066)	Prec@1 5.078 (4.694)	Prec@5 16.016 (16.123)
Epoch: [16][4140/7045]	Time 0.388 (0.271)	Data 0.336 (0.210)	Loss 5.1345 (5.0067)	Prec@1 4.688 (4.693)	Prec@5 17.969 (16.122)
Epoch: [16][4150/7045]	Time 0.101 (0.271)	Data 0.007 (0.210)	Loss 4.9758 (5.0067)	Prec@1 5.078 (4.692)	Prec@5 17.188 (16.119)
Epoch: [16][4160/7045]	Time 0.594 (0.271)	Data 0.538 (0.210)	Loss 4.9984 (5.0067)	Prec@1 5.078 (4.694)	Prec@5 15.234 (16.120)
Epoch: [16][4170/7045]	Time 0.121 (0.271)	Data 0.069 (0.210)	Loss 5.1119 (5.0067)	Prec@1 5.469 (4.692)	Prec@5 18.359 (16.119)
Epoch: [16][4180/7045]	Time 0.304 (0.271)	Data 0.254 (0.210)	Loss 5.0140 (5.0068)	Prec@1 5.469 (4.692)	Prec@5 14.062 (16.117)
Epoch: [16][4190/7045]	Time 0.100 (0.271)	Data 0.006 (0.210)	Loss 4.9119 (5.0067)	Prec@1 1.953 (4.691)	Prec@5 13.672 (16.116)
Epoch: [16][4200/7045]	Time 0.106 (0.271)	Data 0.001 (0.210)	Loss 4.8824 (5.0066)	Prec@1 5.469 (4.694)	Prec@5 17.578 (16.118)
Epoch: [16][4210/7045]	Time 0.101 (0.271)	Data 0.001 (0.210)	Loss 5.0221 (5.0065)	Prec@1 3.906 (4.697)	Prec@5 12.500 (16.121)
Epoch: [16][4220/7045]	Time 0.299 (0.271)	Data 0.249 (0.210)	Loss 4.9996 (5.0063)	Prec@1 3.906 (4.697)	Prec@5 15.625 (16.124)
Epoch: [16][4230/7045]	Time 0.454 (0.271)	Data 0.402 (0.210)	Loss 4.9081 (5.0063)	Prec@1 4.688 (4.696)	Prec@5 14.844 (16.123)
Epoch: [16][4240/7045]	Time 0.179 (0.271)	Data 0.127 (0.210)	Loss 4.9861 (5.0064)	Prec@1 4.688 (4.695)	Prec@5 18.359 (16.121)
Epoch: [16][4250/7045]	Time 0.475 (0.271)	Data 0.425 (0.210)	Loss 5.1747 (5.0065)	Prec@1 3.516 (4.695)	Prec@5 11.328 (16.118)
Epoch: [16][4260/7045]	Time 0.103 (0.271)	Data 0.044 (0.210)	Loss 5.0156 (5.0065)	Prec@1 4.688 (4.694)	Prec@5 16.797 (16.118)
Epoch: [16][4270/7045]	Time 0.652 (0.271)	Data 0.602 (0.210)	Loss 4.9514 (5.0065)	Prec@1 5.469 (4.694)	Prec@5 16.406 (16.120)
Epoch: [16][4280/7045]	Time 0.102 (0.271)	Data 0.001 (0.210)	Loss 4.9290 (5.0065)	Prec@1 4.297 (4.695)	Prec@5 12.500 (16.119)
Epoch: [16][4290/7045]	Time 2.684 (0.272)	Data 2.633 (0.210)	Loss 5.0145 (5.0064)	Prec@1 4.688 (4.694)	Prec@5 15.625 (16.118)
Epoch: [16][4300/7045]	Time 0.101 (0.272)	Data 0.001 (0.210)	Loss 5.0048 (5.0064)	Prec@1 5.859 (4.694)	Prec@5 16.406 (16.118)
Epoch: [16][4310/7045]	Time 0.419 (0.272)	Data 0.366 (0.210)	Loss 4.9778 (5.0064)	Prec@1 3.906 (4.694)	Prec@5 14.062 (16.118)
Epoch: [16][4320/7045]	Time 0.135 (0.271)	Data 0.081 (0.210)	Loss 5.0108 (5.0064)	Prec@1 3.516 (4.693)	Prec@5 14.453 (16.118)
Epoch: [16][4330/7045]	Time 0.374 (0.272)	Data 0.317 (0.210)	Loss 5.0455 (5.0064)	Prec@1 3.125 (4.692)	Prec@5 16.016 (16.121)
Epoch: [16][4340/7045]	Time 0.107 (0.272)	Data 0.055 (0.210)	Loss 4.9177 (5.0062)	Prec@1 6.250 (4.693)	Prec@5 17.578 (16.123)
Epoch: [16][4350/7045]	Time 0.401 (0.272)	Data 0.349 (0.210)	Loss 4.8934 (5.0062)	Prec@1 5.859 (4.693)	Prec@5 17.578 (16.122)
Epoch: [16][4360/7045]	Time 0.111 (0.272)	Data 0.059 (0.210)	Loss 4.9555 (5.0061)	Prec@1 8.203 (4.695)	Prec@5 19.141 (16.127)
Epoch: [16][4370/7045]	Time 0.101 (0.271)	Data 0.005 (0.210)	Loss 4.9702 (5.0060)	Prec@1 5.859 (4.695)	Prec@5 16.016 (16.127)
Epoch: [16][4380/7045]	Time 0.409 (0.271)	Data 0.358 (0.210)	Loss 4.9043 (5.0059)	Prec@1 3.516 (4.696)	Prec@5 17.578 (16.131)
Epoch: [16][4390/7045]	Time 0.225 (0.271)	Data 0.173 (0.210)	Loss 4.7640 (5.0058)	Prec@1 5.078 (4.697)	Prec@5 20.312 (16.132)
Epoch: [16][4400/7045]	Time 0.108 (0.271)	Data 0.001 (0.210)	Loss 5.0064 (5.0056)	Prec@1 3.125 (4.697)	Prec@5 14.844 (16.135)
Epoch: [16][4410/7045]	Time 0.553 (0.271)	Data 0.502 (0.210)	Loss 5.0645 (5.0056)	Prec@1 3.906 (4.698)	Prec@5 14.844 (16.137)
Epoch: [16][4420/7045]	Time 0.107 (0.271)	Data 0.055 (0.210)	Loss 5.1011 (5.0057)	Prec@1 3.516 (4.698)	Prec@5 15.625 (16.138)
Epoch: [16][4430/7045]	Time 0.728 (0.271)	Data 0.677 (0.210)	Loss 5.0030 (5.0056)	Prec@1 3.516 (4.698)	Prec@5 15.234 (16.139)
Epoch: [16][4440/7045]	Time 0.107 (0.272)	Data 0.001 (0.210)	Loss 4.8443 (5.0054)	Prec@1 7.422 (4.699)	Prec@5 18.750 (16.142)
Epoch: [16][4450/7045]	Time 0.686 (0.272)	Data 0.635 (0.210)	Loss 5.1164 (5.0055)	Prec@1 3.906 (4.700)	Prec@5 16.797 (16.143)
Epoch: [16][4460/7045]	Time 0.101 (0.272)	Data 0.005 (0.210)	Loss 5.0419 (5.0056)	Prec@1 5.078 (4.699)	Prec@5 15.625 (16.141)
Epoch: [16][4470/7045]	Time 0.612 (0.272)	Data 0.560 (0.210)	Loss 4.9667 (5.0057)	Prec@1 5.078 (4.699)	Prec@5 21.094 (16.141)
Epoch: [16][4480/7045]	Time 0.203 (0.272)	Data 0.152 (0.210)	Loss 4.9244 (5.0056)	Prec@1 5.078 (4.700)	Prec@5 19.141 (16.144)
Epoch: [16][4490/7045]	Time 0.462 (0.272)	Data 0.401 (0.210)	Loss 5.0654 (5.0055)	Prec@1 5.859 (4.702)	Prec@5 12.891 (16.145)
Epoch: [16][4500/7045]	Time 0.298 (0.272)	Data 0.247 (0.210)	Loss 4.9517 (5.0055)	Prec@1 5.859 (4.702)	Prec@5 18.359 (16.146)
Epoch: [16][4510/7045]	Time 0.473 (0.272)	Data 0.422 (0.210)	Loss 4.9080 (5.0052)	Prec@1 5.078 (4.703)	Prec@5 19.531 (16.153)
Epoch: [16][4520/7045]	Time 0.180 (0.272)	Data 0.130 (0.210)	Loss 4.9571 (5.0053)	Prec@1 4.297 (4.703)	Prec@5 15.234 (16.152)
Epoch: [16][4530/7045]	Time 0.192 (0.272)	Data 0.141 (0.210)	Loss 5.1020 (5.0053)	Prec@1 5.078 (4.703)	Prec@5 14.844 (16.153)
Epoch: [16][4540/7045]	Time 0.490 (0.272)	Data 0.439 (0.210)	Loss 4.9420 (5.0054)	Prec@1 2.344 (4.702)	Prec@5 17.578 (16.152)
Epoch: [16][4550/7045]	Time 0.102 (0.272)	Data 0.001 (0.210)	Loss 5.0576 (5.0055)	Prec@1 3.516 (4.701)	Prec@5 16.016 (16.151)
Epoch: [16][4560/7045]	Time 0.537 (0.272)	Data 0.486 (0.210)	Loss 5.1204 (5.0055)	Prec@1 2.734 (4.701)	Prec@5 13.672 (16.152)
Epoch: [16][4570/7045]	Time 0.167 (0.272)	Data 0.116 (0.210)	Loss 5.0759 (5.0058)	Prec@1 3.906 (4.699)	Prec@5 12.500 (16.145)
Epoch: [16][4580/7045]	Time 0.528 (0.272)	Data 0.477 (0.210)	Loss 5.0132 (5.0057)	Prec@1 5.469 (4.699)	Prec@5 17.188 (16.144)
Epoch: [16][4590/7045]	Time 0.110 (0.272)	Data 0.059 (0.210)	Loss 5.0984 (5.0057)	Prec@1 2.344 (4.697)	Prec@5 12.891 (16.143)
Epoch: [16][4600/7045]	Time 0.659 (0.272)	Data 0.602 (0.210)	Loss 5.0355 (5.0057)	Prec@1 4.297 (4.698)	Prec@5 14.453 (16.144)
Epoch: [16][4610/7045]	Time 0.101 (0.271)	Data 0.001 (0.210)	Loss 4.9844 (5.0057)	Prec@1 3.906 (4.698)	Prec@5 14.453 (16.143)
Epoch: [16][4620/7045]	Time 0.115 (0.271)	Data 0.056 (0.210)	Loss 5.0531 (5.0057)	Prec@1 4.297 (4.697)	Prec@5 14.062 (16.142)
Epoch: [16][4630/7045]	Time 0.111 (0.271)	Data 0.060 (0.210)	Loss 5.2659 (5.0058)	Prec@1 3.906 (4.698)	Prec@5 11.719 (16.142)
Epoch: [16][4640/7045]	Time 0.107 (0.271)	Data 0.002 (0.210)	Loss 4.9764 (5.0058)	Prec@1 3.906 (4.697)	Prec@5 13.672 (16.141)
Epoch: [16][4650/7045]	Time 0.279 (0.271)	Data 0.227 (0.210)	Loss 4.9233 (5.0058)	Prec@1 5.078 (4.698)	Prec@5 17.578 (16.140)
Epoch: [16][4660/7045]	Time 0.101 (0.271)	Data 0.001 (0.210)	Loss 4.9615 (5.0058)	Prec@1 5.078 (4.698)	Prec@5 14.062 (16.140)
Epoch: [16][4670/7045]	Time 0.538 (0.271)	Data 0.487 (0.210)	Loss 5.1071 (5.0058)	Prec@1 4.297 (4.698)	Prec@5 14.844 (16.139)
Epoch: [16][4680/7045]	Time 0.102 (0.271)	Data 0.007 (0.209)	Loss 4.8809 (5.0058)	Prec@1 6.250 (4.698)	Prec@5 19.141 (16.140)
Epoch: [16][4690/7045]	Time 0.638 (0.271)	Data 0.588 (0.209)	Loss 5.1144 (5.0058)	Prec@1 5.078 (4.700)	Prec@5 18.359 (16.142)
Epoch: [16][4700/7045]	Time 0.098 (0.271)	Data 0.001 (0.209)	Loss 5.1076 (5.0060)	Prec@1 2.344 (4.699)	Prec@5 14.453 (16.136)
Epoch: [16][4710/7045]	Time 0.616 (0.271)	Data 0.564 (0.209)	Loss 4.9968 (5.0062)	Prec@1 5.078 (4.697)	Prec@5 14.453 (16.132)
Epoch: [16][4720/7045]	Time 0.102 (0.271)	Data 0.001 (0.209)	Loss 5.0455 (5.0061)	Prec@1 7.422 (4.698)	Prec@5 17.188 (16.133)
Epoch: [16][4730/7045]	Time 0.416 (0.271)	Data 0.363 (0.209)	Loss 5.0812 (5.0063)	Prec@1 5.469 (4.697)	Prec@5 14.453 (16.128)
Epoch: [16][4740/7045]	Time 0.102 (0.271)	Data 0.001 (0.209)	Loss 4.9321 (5.0063)	Prec@1 4.297 (4.696)	Prec@5 15.234 (16.126)
Epoch: [16][4750/7045]	Time 0.400 (0.271)	Data 0.348 (0.209)	Loss 4.9852 (5.0063)	Prec@1 4.297 (4.695)	Prec@5 16.016 (16.125)
Epoch: [16][4760/7045]	Time 0.102 (0.271)	Data 0.001 (0.209)	Loss 5.0196 (5.0065)	Prec@1 3.906 (4.694)	Prec@5 16.406 (16.121)
Epoch: [16][4770/7045]	Time 0.359 (0.271)	Data 0.303 (0.209)	Loss 5.0014 (5.0065)	Prec@1 2.734 (4.693)	Prec@5 14.062 (16.119)
Epoch: [16][4780/7045]	Time 0.103 (0.271)	Data 0.001 (0.209)	Loss 4.9586 (5.0064)	Prec@1 5.859 (4.694)	Prec@5 12.500 (16.119)
Epoch: [16][4790/7045]	Time 0.338 (0.271)	Data 0.282 (0.209)	Loss 4.9931 (5.0065)	Prec@1 6.250 (4.695)	Prec@5 15.625 (16.118)
Epoch: [16][4800/7045]	Time 0.108 (0.271)	Data 0.001 (0.209)	Loss 5.1207 (5.0065)	Prec@1 2.734 (4.694)	Prec@5 13.672 (16.118)
Epoch: [16][4810/7045]	Time 0.441 (0.271)	Data 0.389 (0.209)	Loss 4.8517 (5.0066)	Prec@1 5.859 (4.693)	Prec@5 19.531 (16.116)
Epoch: [16][4820/7045]	Time 0.186 (0.271)	Data 0.135 (0.208)	Loss 4.8292 (5.0065)	Prec@1 4.297 (4.694)	Prec@5 18.750 (16.119)
Epoch: [16][4830/7045]	Time 0.261 (0.270)	Data 0.211 (0.208)	Loss 5.1483 (5.0066)	Prec@1 2.344 (4.692)	Prec@5 14.844 (16.117)
Epoch: [16][4840/7045]	Time 0.464 (0.270)	Data 0.412 (0.208)	Loss 4.9494 (5.0066)	Prec@1 5.078 (4.693)	Prec@5 18.359 (16.116)
Epoch: [16][4850/7045]	Time 0.142 (0.270)	Data 0.091 (0.208)	Loss 5.0132 (5.0066)	Prec@1 2.734 (4.693)	Prec@5 15.625 (16.118)
Epoch: [16][4860/7045]	Time 0.266 (0.270)	Data 0.216 (0.208)	Loss 5.0484 (5.0066)	Prec@1 6.641 (4.692)	Prec@5 16.016 (16.116)
Epoch: [16][4870/7045]	Time 0.176 (0.270)	Data 0.125 (0.208)	Loss 5.0636 (5.0066)	Prec@1 2.734 (4.691)	Prec@5 14.453 (16.117)
Epoch: [16][4880/7045]	Time 0.296 (0.270)	Data 0.241 (0.208)	Loss 5.0823 (5.0065)	Prec@1 3.906 (4.691)	Prec@5 14.062 (16.119)
Epoch: [16][4890/7045]	Time 0.155 (0.270)	Data 0.104 (0.208)	Loss 4.9539 (5.0064)	Prec@1 2.734 (4.691)	Prec@5 15.625 (16.119)
Epoch: [16][4900/7045]	Time 0.387 (0.270)	Data 0.336 (0.208)	Loss 4.9172 (5.0064)	Prec@1 7.422 (4.692)	Prec@5 17.188 (16.119)
Epoch: [16][4910/7045]	Time 0.103 (0.270)	Data 0.051 (0.208)	Loss 5.0258 (5.0062)	Prec@1 4.297 (4.693)	Prec@5 16.797 (16.124)
Epoch: [16][4920/7045]	Time 0.506 (0.270)	Data 0.455 (0.208)	Loss 5.0268 (5.0061)	Prec@1 6.641 (4.695)	Prec@5 15.625 (16.128)
Epoch: [16][4930/7045]	Time 0.102 (0.270)	Data 0.010 (0.208)	Loss 5.1263 (5.0062)	Prec@1 5.859 (4.695)	Prec@5 13.672 (16.126)
Epoch: [16][4940/7045]	Time 0.685 (0.270)	Data 0.634 (0.208)	Loss 4.9890 (5.0061)	Prec@1 5.859 (4.695)	Prec@5 17.969 (16.126)
Epoch: [16][4950/7045]	Time 0.109 (0.270)	Data 0.001 (0.208)	Loss 4.9765 (5.0061)	Prec@1 5.078 (4.695)	Prec@5 16.797 (16.127)
Epoch: [16][4960/7045]	Time 0.102 (0.270)	Data 0.001 (0.208)	Loss 4.9514 (5.0061)	Prec@1 5.469 (4.696)	Prec@5 18.359 (16.127)
Epoch: [16][4970/7045]	Time 0.129 (0.270)	Data 0.078 (0.208)	Loss 5.0172 (5.0060)	Prec@1 3.125 (4.697)	Prec@5 11.719 (16.129)
Epoch: [16][4980/7045]	Time 0.351 (0.270)	Data 0.292 (0.208)	Loss 4.9609 (5.0059)	Prec@1 7.031 (4.698)	Prec@5 17.578 (16.131)
Epoch: [16][4990/7045]	Time 0.102 (0.270)	Data 0.001 (0.208)	Loss 4.9333 (5.0060)	Prec@1 5.859 (4.698)	Prec@5 16.406 (16.129)
Epoch: [16][5000/7045]	Time 0.179 (0.270)	Data 0.126 (0.208)	Loss 5.2089 (5.0059)	Prec@1 3.906 (4.697)	Prec@5 12.109 (16.129)
Epoch: [16][5010/7045]	Time 0.223 (0.270)	Data 0.170 (0.208)	Loss 5.1084 (5.0061)	Prec@1 3.516 (4.696)	Prec@5 15.234 (16.127)
Epoch: [16][5020/7045]	Time 0.167 (0.270)	Data 0.116 (0.208)	Loss 5.0582 (5.0061)	Prec@1 7.031 (4.697)	Prec@5 16.797 (16.127)
Epoch: [16][5030/7045]	Time 0.649 (0.270)	Data 0.598 (0.208)	Loss 5.1784 (5.0063)	Prec@1 4.688 (4.697)	Prec@5 14.453 (16.127)
Epoch: [16][5040/7045]	Time 0.107 (0.270)	Data 0.001 (0.208)	Loss 5.0200 (5.0064)	Prec@1 4.297 (4.696)	Prec@5 15.625 (16.127)
Epoch: [16][5050/7045]	Time 0.678 (0.270)	Data 0.620 (0.208)	Loss 5.2161 (5.0064)	Prec@1 3.516 (4.697)	Prec@5 13.672 (16.125)
Epoch: [16][5060/7045]	Time 0.108 (0.270)	Data 0.050 (0.208)	Loss 4.9980 (5.0064)	Prec@1 4.297 (4.696)	Prec@5 18.359 (16.127)
Epoch: [16][5070/7045]	Time 0.649 (0.270)	Data 0.597 (0.208)	Loss 4.9928 (5.0063)	Prec@1 6.641 (4.698)	Prec@5 15.234 (16.129)
Epoch: [16][5080/7045]	Time 0.107 (0.270)	Data 0.008 (0.208)	Loss 5.0421 (5.0062)	Prec@1 6.641 (4.698)	Prec@5 17.969 (16.132)
Epoch: [16][5090/7045]	Time 0.564 (0.270)	Data 0.511 (0.208)	Loss 4.9075 (5.0062)	Prec@1 3.125 (4.698)	Prec@5 18.750 (16.134)
Epoch: [16][5100/7045]	Time 0.101 (0.270)	Data 0.013 (0.208)	Loss 5.0048 (5.0062)	Prec@1 4.297 (4.698)	Prec@5 14.453 (16.135)
Epoch: [16][5110/7045]	Time 1.782 (0.270)	Data 1.723 (0.208)	Loss 4.9389 (5.0062)	Prec@1 4.297 (4.697)	Prec@5 16.016 (16.135)
Epoch: [16][5120/7045]	Time 0.107 (0.270)	Data 0.001 (0.208)	Loss 5.0986 (5.0061)	Prec@1 3.906 (4.697)	Prec@5 12.891 (16.136)
Epoch: [16][5130/7045]	Time 0.606 (0.270)	Data 0.555 (0.208)	Loss 4.9018 (5.0060)	Prec@1 4.688 (4.697)	Prec@5 19.141 (16.139)
Epoch: [16][5140/7045]	Time 0.102 (0.270)	Data 0.002 (0.208)	Loss 5.1913 (5.0059)	Prec@1 5.078 (4.699)	Prec@5 12.109 (16.145)
Epoch: [16][5150/7045]	Time 0.569 (0.270)	Data 0.518 (0.208)	Loss 4.9839 (5.0059)	Prec@1 4.688 (4.699)	Prec@5 16.797 (16.144)
Epoch: [16][5160/7045]	Time 0.103 (0.270)	Data 0.051 (0.207)	Loss 4.9551 (5.0059)	Prec@1 2.734 (4.698)	Prec@5 17.969 (16.143)
Epoch: [16][5170/7045]	Time 0.585 (0.270)	Data 0.534 (0.207)	Loss 5.0273 (5.0060)	Prec@1 3.125 (4.697)	Prec@5 14.062 (16.142)
Epoch: [16][5180/7045]	Time 0.112 (0.270)	Data 0.061 (0.207)	Loss 5.0133 (5.0060)	Prec@1 4.297 (4.695)	Prec@5 14.453 (16.140)
Epoch: [16][5190/7045]	Time 0.513 (0.270)	Data 0.462 (0.208)	Loss 5.1778 (5.0060)	Prec@1 4.688 (4.695)	Prec@5 11.328 (16.138)
Epoch: [16][5200/7045]	Time 0.100 (0.270)	Data 0.004 (0.207)	Loss 4.9945 (5.0060)	Prec@1 3.125 (4.695)	Prec@5 17.188 (16.140)
Epoch: [16][5210/7045]	Time 0.621 (0.270)	Data 0.562 (0.207)	Loss 5.0719 (5.0060)	Prec@1 3.125 (4.695)	Prec@5 15.625 (16.140)
Epoch: [16][5220/7045]	Time 0.110 (0.270)	Data 0.001 (0.207)	Loss 4.9805 (5.0061)	Prec@1 5.469 (4.696)	Prec@5 18.359 (16.141)
Epoch: [16][5230/7045]	Time 0.668 (0.270)	Data 0.615 (0.207)	Loss 4.9320 (5.0060)	Prec@1 4.688 (4.695)	Prec@5 17.578 (16.141)
Epoch: [16][5240/7045]	Time 0.117 (0.269)	Data 0.065 (0.207)	Loss 4.9792 (5.0059)	Prec@1 5.469 (4.696)	Prec@5 17.188 (16.141)
Epoch: [16][5250/7045]	Time 0.619 (0.269)	Data 0.567 (0.207)	Loss 5.1291 (5.0059)	Prec@1 2.734 (4.696)	Prec@5 10.547 (16.143)
Epoch: [16][5260/7045]	Time 0.103 (0.269)	Data 0.050 (0.207)	Loss 5.0671 (5.0059)	Prec@1 5.469 (4.695)	Prec@5 14.844 (16.143)
Epoch: [16][5270/7045]	Time 0.649 (0.270)	Data 0.597 (0.207)	Loss 5.0158 (5.0060)	Prec@1 3.125 (4.695)	Prec@5 11.719 (16.140)
Epoch: [16][5280/7045]	Time 0.102 (0.270)	Data 0.001 (0.207)	Loss 5.0278 (5.0060)	Prec@1 3.125 (4.695)	Prec@5 16.016 (16.141)
Epoch: [16][5290/7045]	Time 0.590 (0.269)	Data 0.538 (0.207)	Loss 4.9997 (5.0061)	Prec@1 3.906 (4.694)	Prec@5 15.625 (16.139)
Epoch: [16][5300/7045]	Time 0.311 (0.269)	Data 0.261 (0.207)	Loss 5.1106 (5.0062)	Prec@1 2.734 (4.694)	Prec@5 13.672 (16.138)
Epoch: [16][5310/7045]	Time 0.538 (0.269)	Data 0.485 (0.207)	Loss 5.0699 (5.0063)	Prec@1 3.516 (4.692)	Prec@5 15.234 (16.137)
Epoch: [16][5320/7045]	Time 0.174 (0.269)	Data 0.122 (0.207)	Loss 4.9045 (5.0063)	Prec@1 5.469 (4.691)	Prec@5 17.578 (16.136)
Epoch: [16][5330/7045]	Time 0.449 (0.269)	Data 0.399 (0.207)	Loss 4.9650 (5.0061)	Prec@1 5.469 (4.692)	Prec@5 16.016 (16.136)
Epoch: [16][5340/7045]	Time 0.101 (0.269)	Data 0.006 (0.207)	Loss 5.1062 (5.0061)	Prec@1 3.125 (4.693)	Prec@5 16.406 (16.137)
Epoch: [16][5350/7045]	Time 0.464 (0.269)	Data 0.412 (0.207)	Loss 4.8604 (5.0060)	Prec@1 4.688 (4.694)	Prec@5 17.578 (16.138)
Epoch: [16][5360/7045]	Time 0.393 (0.269)	Data 0.342 (0.207)	Loss 5.0233 (5.0060)	Prec@1 3.125 (4.694)	Prec@5 11.719 (16.139)
Epoch: [16][5370/7045]	Time 0.101 (0.269)	Data 0.006 (0.207)	Loss 4.9639 (5.0059)	Prec@1 4.297 (4.695)	Prec@5 12.891 (16.139)
Epoch: [16][5380/7045]	Time 0.164 (0.269)	Data 0.114 (0.207)	Loss 4.9618 (5.0059)	Prec@1 7.812 (4.694)	Prec@5 17.969 (16.138)
Epoch: [16][5390/7045]	Time 0.102 (0.269)	Data 0.004 (0.207)	Loss 4.9541 (5.0059)	Prec@1 7.422 (4.695)	Prec@5 16.406 (16.137)
Epoch: [16][5400/7045]	Time 0.110 (0.269)	Data 0.059 (0.207)	Loss 4.9725 (5.0058)	Prec@1 2.734 (4.695)	Prec@5 16.797 (16.138)
Epoch: [16][5410/7045]	Time 0.554 (0.269)	Data 0.502 (0.207)	Loss 5.1011 (5.0059)	Prec@1 4.297 (4.693)	Prec@5 14.844 (16.135)
Epoch: [16][5420/7045]	Time 0.100 (0.269)	Data 0.003 (0.207)	Loss 5.0310 (5.0059)	Prec@1 5.859 (4.693)	Prec@5 16.016 (16.137)
Epoch: [16][5430/7045]	Time 0.439 (0.269)	Data 0.388 (0.207)	Loss 4.9535 (5.0059)	Prec@1 5.469 (4.694)	Prec@5 14.062 (16.137)
Epoch: [16][5440/7045]	Time 0.244 (0.269)	Data 0.186 (0.207)	Loss 5.0768 (5.0058)	Prec@1 3.516 (4.694)	Prec@5 14.844 (16.138)
Epoch: [16][5450/7045]	Time 0.318 (0.269)	Data 0.267 (0.207)	Loss 4.8732 (5.0058)	Prec@1 4.297 (4.694)	Prec@5 19.141 (16.139)
Epoch: [16][5460/7045]	Time 0.289 (0.269)	Data 0.231 (0.207)	Loss 4.8746 (5.0058)	Prec@1 6.641 (4.694)	Prec@5 20.312 (16.140)
Epoch: [16][5470/7045]	Time 0.239 (0.269)	Data 0.188 (0.207)	Loss 4.8763 (5.0059)	Prec@1 5.859 (4.694)	Prec@5 18.359 (16.138)
Epoch: [16][5480/7045]	Time 0.548 (0.269)	Data 0.497 (0.207)	Loss 4.9219 (5.0058)	Prec@1 7.031 (4.696)	Prec@5 18.750 (16.141)
Epoch: [16][5490/7045]	Time 0.102 (0.269)	Data 0.049 (0.207)	Loss 4.8987 (5.0058)	Prec@1 6.641 (4.697)	Prec@5 17.969 (16.142)
Epoch: [16][5500/7045]	Time 0.677 (0.269)	Data 0.626 (0.207)	Loss 4.9192 (5.0058)	Prec@1 6.250 (4.696)	Prec@5 21.875 (16.142)
Epoch: [16][5510/7045]	Time 0.162 (0.269)	Data 0.111 (0.207)	Loss 5.0311 (5.0058)	Prec@1 4.297 (4.696)	Prec@5 14.844 (16.143)
Epoch: [16][5520/7045]	Time 0.123 (0.269)	Data 0.071 (0.207)	Loss 4.9567 (5.0057)	Prec@1 7.031 (4.696)	Prec@5 18.750 (16.145)
Epoch: [16][5530/7045]	Time 0.103 (0.269)	Data 0.001 (0.207)	Loss 4.7746 (5.0057)	Prec@1 5.859 (4.697)	Prec@5 20.703 (16.145)
Epoch: [16][5540/7045]	Time 0.119 (0.269)	Data 0.061 (0.207)	Loss 4.9298 (5.0056)	Prec@1 4.297 (4.698)	Prec@5 17.578 (16.144)
Epoch: [16][5550/7045]	Time 0.308 (0.269)	Data 0.256 (0.207)	Loss 5.0257 (5.0056)	Prec@1 7.422 (4.698)	Prec@5 16.797 (16.145)
Epoch: [16][5560/7045]	Time 0.109 (0.269)	Data 0.056 (0.207)	Loss 4.8304 (5.0055)	Prec@1 6.641 (4.698)	Prec@5 18.359 (16.147)
Epoch: [16][5570/7045]	Time 0.491 (0.269)	Data 0.440 (0.207)	Loss 4.8788 (5.0053)	Prec@1 2.734 (4.698)	Prec@5 14.062 (16.148)
Epoch: [16][5580/7045]	Time 0.149 (0.269)	Data 0.099 (0.207)	Loss 5.0971 (5.0053)	Prec@1 3.906 (4.697)	Prec@5 15.625 (16.148)
Epoch: [16][5590/7045]	Time 0.519 (0.269)	Data 0.467 (0.207)	Loss 4.9560 (5.0051)	Prec@1 5.469 (4.699)	Prec@5 18.359 (16.149)
Epoch: [16][5600/7045]	Time 0.211 (0.269)	Data 0.160 (0.207)	Loss 4.8812 (5.0050)	Prec@1 5.859 (4.699)	Prec@5 16.797 (16.150)
Epoch: [16][5610/7045]	Time 0.338 (0.269)	Data 0.279 (0.207)	Loss 5.0855 (5.0050)	Prec@1 3.516 (4.699)	Prec@5 13.672 (16.150)
Epoch: [16][5620/7045]	Time 0.210 (0.269)	Data 0.160 (0.207)	Loss 4.8665 (5.0050)	Prec@1 7.812 (4.698)	Prec@5 19.141 (16.150)
Epoch: [16][5630/7045]	Time 0.149 (0.269)	Data 0.099 (0.207)	Loss 4.9076 (5.0051)	Prec@1 7.812 (4.697)	Prec@5 17.188 (16.146)
Epoch: [16][5640/7045]	Time 0.150 (0.269)	Data 0.099 (0.207)	Loss 4.9993 (5.0050)	Prec@1 5.078 (4.698)	Prec@5 16.016 (16.148)
Epoch: [16][5650/7045]	Time 0.115 (0.269)	Data 0.064 (0.207)	Loss 5.0043 (5.0050)	Prec@1 7.031 (4.700)	Prec@5 19.141 (16.152)
Epoch: [16][5660/7045]	Time 0.282 (0.269)	Data 0.231 (0.207)	Loss 4.8598 (5.0049)	Prec@1 7.031 (4.701)	Prec@5 19.531 (16.153)
Epoch: [16][5670/7045]	Time 0.300 (0.269)	Data 0.249 (0.207)	Loss 5.0171 (5.0048)	Prec@1 4.688 (4.701)	Prec@5 17.578 (16.155)
Epoch: [16][5680/7045]	Time 0.167 (0.269)	Data 0.117 (0.207)	Loss 5.0018 (5.0047)	Prec@1 4.297 (4.702)	Prec@5 15.234 (16.156)
Epoch: [16][5690/7045]	Time 0.229 (0.269)	Data 0.177 (0.207)	Loss 5.0487 (5.0047)	Prec@1 5.078 (4.702)	Prec@5 16.016 (16.156)
Epoch: [16][5700/7045]	Time 0.148 (0.269)	Data 0.094 (0.207)	Loss 4.9383 (5.0047)	Prec@1 5.469 (4.702)	Prec@5 18.359 (16.159)
Epoch: [16][5710/7045]	Time 0.337 (0.270)	Data 0.286 (0.207)	Loss 4.8596 (5.0046)	Prec@1 6.641 (4.703)	Prec@5 23.047 (16.164)
Epoch: [16][5720/7045]	Time 0.101 (0.269)	Data 0.049 (0.207)	Loss 5.1221 (5.0045)	Prec@1 3.516 (4.704)	Prec@5 12.109 (16.165)
Epoch: [16][5730/7045]	Time 0.327 (0.269)	Data 0.275 (0.207)	Loss 4.9988 (5.0045)	Prec@1 4.688 (4.705)	Prec@5 16.406 (16.165)
Epoch: [16][5740/7045]	Time 0.168 (0.269)	Data 0.117 (0.207)	Loss 5.0163 (5.0045)	Prec@1 7.031 (4.705)	Prec@5 18.750 (16.165)
Epoch: [16][5750/7045]	Time 0.244 (0.269)	Data 0.193 (0.207)	Loss 5.0610 (5.0046)	Prec@1 3.516 (4.705)	Prec@5 11.328 (16.165)
Epoch: [16][5760/7045]	Time 0.125 (0.269)	Data 0.075 (0.207)	Loss 5.0057 (5.0047)	Prec@1 5.469 (4.706)	Prec@5 18.359 (16.165)
Epoch: [16][5770/7045]	Time 0.506 (0.269)	Data 0.455 (0.207)	Loss 5.1253 (5.0048)	Prec@1 2.344 (4.705)	Prec@5 12.500 (16.162)
Epoch: [16][5780/7045]	Time 0.158 (0.269)	Data 0.106 (0.207)	Loss 5.0894 (5.0049)	Prec@1 4.688 (4.705)	Prec@5 14.062 (16.162)
Epoch: [16][5790/7045]	Time 0.622 (0.269)	Data 0.572 (0.207)	Loss 5.0351 (5.0048)	Prec@1 3.125 (4.704)	Prec@5 16.797 (16.162)
Epoch: [16][5800/7045]	Time 0.096 (0.269)	Data 0.001 (0.207)	Loss 4.9881 (5.0048)	Prec@1 4.297 (4.705)	Prec@5 13.281 (16.163)
Epoch: [16][5810/7045]	Time 0.479 (0.269)	Data 0.428 (0.207)	Loss 4.8721 (5.0047)	Prec@1 5.469 (4.706)	Prec@5 17.969 (16.166)
Epoch: [16][5820/7045]	Time 0.103 (0.269)	Data 0.001 (0.207)	Loss 4.9648 (5.0046)	Prec@1 3.906 (4.707)	Prec@5 16.406 (16.168)
Epoch: [16][5830/7045]	Time 0.101 (0.269)	Data 0.049 (0.207)	Loss 4.8509 (5.0045)	Prec@1 5.078 (4.707)	Prec@5 19.531 (16.171)
Epoch: [16][5840/7045]	Time 0.102 (0.269)	Data 0.001 (0.207)	Loss 4.9150 (5.0044)	Prec@1 5.469 (4.709)	Prec@5 16.406 (16.172)
Epoch: [16][5850/7045]	Time 0.111 (0.269)	Data 0.059 (0.207)	Loss 5.0739 (5.0044)	Prec@1 5.078 (4.709)	Prec@5 16.016 (16.174)
Epoch: [16][5860/7045]	Time 0.297 (0.269)	Data 0.246 (0.207)	Loss 5.0280 (5.0044)	Prec@1 5.859 (4.709)	Prec@5 17.969 (16.174)
Epoch: [16][5870/7045]	Time 0.198 (0.269)	Data 0.146 (0.207)	Loss 4.9550 (5.0043)	Prec@1 5.078 (4.709)	Prec@5 16.797 (16.174)
Epoch: [16][5880/7045]	Time 0.632 (0.270)	Data 0.573 (0.207)	Loss 4.9880 (5.0042)	Prec@1 6.250 (4.711)	Prec@5 16.016 (16.177)
Epoch: [16][5890/7045]	Time 0.108 (0.269)	Data 0.048 (0.207)	Loss 5.0709 (5.0043)	Prec@1 5.078 (4.711)	Prec@5 16.797 (16.177)
Epoch: [16][5900/7045]	Time 0.477 (0.269)	Data 0.427 (0.207)	Loss 5.0048 (5.0043)	Prec@1 4.297 (4.711)	Prec@5 14.062 (16.177)
Epoch: [16][5910/7045]	Time 0.211 (0.269)	Data 0.160 (0.207)	Loss 5.0854 (5.0042)	Prec@1 3.906 (4.711)	Prec@5 13.281 (16.177)
Epoch: [16][5920/7045]	Time 0.428 (0.269)	Data 0.370 (0.207)	Loss 4.9492 (5.0043)	Prec@1 6.641 (4.711)	Prec@5 17.578 (16.178)
Epoch: [16][5930/7045]	Time 0.307 (0.269)	Data 0.255 (0.207)	Loss 5.0229 (5.0042)	Prec@1 3.906 (4.712)	Prec@5 13.672 (16.180)
Epoch: [16][5940/7045]	Time 0.132 (0.269)	Data 0.079 (0.207)	Loss 5.1429 (5.0042)	Prec@1 4.688 (4.713)	Prec@5 15.234 (16.178)
Epoch: [16][5950/7045]	Time 0.214 (0.269)	Data 0.162 (0.207)	Loss 4.9224 (5.0042)	Prec@1 8.203 (4.713)	Prec@5 19.531 (16.178)
Epoch: [16][5960/7045]	Time 0.101 (0.270)	Data 0.004 (0.207)	Loss 4.9630 (5.0043)	Prec@1 4.688 (4.712)	Prec@5 16.797 (16.176)
Epoch: [16][5970/7045]	Time 0.102 (0.270)	Data 0.001 (0.207)	Loss 5.0492 (5.0043)	Prec@1 4.297 (4.712)	Prec@5 17.188 (16.177)
Epoch: [16][5980/7045]	Time 0.107 (0.270)	Data 0.001 (0.207)	Loss 4.8918 (5.0043)	Prec@1 6.641 (4.712)	Prec@5 22.656 (16.179)
Epoch: [16][5990/7045]	Time 0.100 (0.270)	Data 0.048 (0.207)	Loss 5.0135 (5.0042)	Prec@1 2.734 (4.711)	Prec@5 16.016 (16.181)
Epoch: [16][6000/7045]	Time 0.218 (0.270)	Data 0.161 (0.207)	Loss 5.0306 (5.0041)	Prec@1 3.906 (4.713)	Prec@5 17.188 (16.181)
Epoch: [16][6010/7045]	Time 0.102 (0.270)	Data 0.001 (0.207)	Loss 5.2228 (5.0042)	Prec@1 3.125 (4.713)	Prec@5 11.328 (16.180)
Epoch: [16][6020/7045]	Time 0.109 (0.270)	Data 0.050 (0.207)	Loss 5.0951 (5.0042)	Prec@1 5.469 (4.713)	Prec@5 13.672 (16.178)
Epoch: [16][6030/7045]	Time 0.136 (0.270)	Data 0.085 (0.207)	Loss 5.1360 (5.0044)	Prec@1 4.297 (4.712)	Prec@5 12.891 (16.174)
Epoch: [16][6040/7045]	Time 0.109 (0.270)	Data 0.005 (0.207)	Loss 5.1055 (5.0045)	Prec@1 3.516 (4.711)	Prec@5 14.453 (16.172)
Epoch: [16][6050/7045]	Time 0.169 (0.270)	Data 0.118 (0.207)	Loss 5.1896 (5.0045)	Prec@1 3.125 (4.711)	Prec@5 12.891 (16.174)
Epoch: [16][6060/7045]	Time 0.181 (0.270)	Data 0.130 (0.207)	Loss 4.8589 (5.0046)	Prec@1 4.688 (4.710)	Prec@5 16.016 (16.172)
Epoch: [16][6070/7045]	Time 0.446 (0.270)	Data 0.394 (0.207)	Loss 4.9505 (5.0046)	Prec@1 6.641 (4.711)	Prec@5 20.312 (16.174)
Epoch: [16][6080/7045]	Time 0.108 (0.270)	Data 0.001 (0.207)	Loss 4.8182 (5.0045)	Prec@1 7.812 (4.712)	Prec@5 22.266 (16.175)
Epoch: [16][6090/7045]	Time 0.604 (0.270)	Data 0.553 (0.207)	Loss 4.9298 (5.0044)	Prec@1 6.250 (4.714)	Prec@5 19.531 (16.176)
Epoch: [16][6100/7045]	Time 0.261 (0.270)	Data 0.209 (0.207)	Loss 5.1390 (5.0044)	Prec@1 4.297 (4.714)	Prec@5 13.281 (16.178)
Epoch: [16][6110/7045]	Time 0.328 (0.270)	Data 0.277 (0.207)	Loss 5.0812 (5.0044)	Prec@1 3.516 (4.715)	Prec@5 14.062 (16.179)
Epoch: [16][6120/7045]	Time 0.102 (0.270)	Data 0.001 (0.207)	Loss 4.9110 (5.0042)	Prec@1 4.688 (4.717)	Prec@5 17.578 (16.183)
Epoch: [16][6130/7045]	Time 0.109 (0.270)	Data 0.001 (0.207)	Loss 5.1240 (5.0042)	Prec@1 5.078 (4.717)	Prec@5 13.672 (16.183)
Epoch: [16][6140/7045]	Time 0.323 (0.270)	Data 0.272 (0.207)	Loss 4.8416 (5.0042)	Prec@1 6.641 (4.716)	Prec@5 21.484 (16.183)
Epoch: [16][6150/7045]	Time 0.291 (0.270)	Data 0.240 (0.207)	Loss 4.9967 (5.0042)	Prec@1 4.297 (4.717)	Prec@5 14.453 (16.184)
Epoch: [16][6160/7045]	Time 0.493 (0.270)	Data 0.442 (0.207)	Loss 4.9778 (5.0042)	Prec@1 5.078 (4.717)	Prec@5 16.406 (16.185)
Epoch: [16][6170/7045]	Time 0.352 (0.270)	Data 0.301 (0.207)	Loss 5.0984 (5.0041)	Prec@1 5.469 (4.718)	Prec@5 14.453 (16.185)
Epoch: [16][6180/7045]	Time 0.317 (0.270)	Data 0.265 (0.207)	Loss 4.9367 (5.0041)	Prec@1 3.906 (4.717)	Prec@5 16.797 (16.185)
Epoch: [16][6190/7045]	Time 0.401 (0.270)	Data 0.343 (0.207)	Loss 5.0836 (5.0040)	Prec@1 5.469 (4.718)	Prec@5 14.844 (16.188)
Epoch: [16][6200/7045]	Time 0.233 (0.270)	Data 0.182 (0.207)	Loss 5.0118 (5.0040)	Prec@1 3.906 (4.719)	Prec@5 16.016 (16.189)
Epoch: [16][6210/7045]	Time 0.441 (0.270)	Data 0.383 (0.207)	Loss 4.9049 (5.0039)	Prec@1 4.297 (4.718)	Prec@5 16.406 (16.189)
Epoch: [16][6220/7045]	Time 0.336 (0.270)	Data 0.286 (0.207)	Loss 5.0436 (5.0039)	Prec@1 5.078 (4.719)	Prec@5 15.234 (16.190)
Epoch: [16][6230/7045]	Time 0.393 (0.270)	Data 0.342 (0.207)	Loss 4.9367 (5.0039)	Prec@1 6.250 (4.720)	Prec@5 16.406 (16.191)
Epoch: [16][6240/7045]	Time 0.318 (0.270)	Data 0.267 (0.207)	Loss 4.9010 (5.0038)	Prec@1 3.906 (4.721)	Prec@5 17.578 (16.192)
Epoch: [16][6250/7045]	Time 0.441 (0.270)	Data 0.390 (0.207)	Loss 4.9508 (5.0038)	Prec@1 5.859 (4.721)	Prec@5 16.797 (16.193)
Epoch: [16][6260/7045]	Time 0.442 (0.270)	Data 0.390 (0.207)	Loss 5.0605 (5.0038)	Prec@1 3.125 (4.721)	Prec@5 18.750 (16.192)
Epoch: [16][6270/7045]	Time 0.323 (0.270)	Data 0.273 (0.207)	Loss 4.9808 (5.0040)	Prec@1 5.078 (4.721)	Prec@5 13.672 (16.190)
Epoch: [16][6280/7045]	Time 0.156 (0.270)	Data 0.105 (0.207)	Loss 4.9963 (5.0040)	Prec@1 4.688 (4.720)	Prec@5 14.844 (16.189)
Epoch: [16][6290/7045]	Time 0.493 (0.270)	Data 0.442 (0.207)	Loss 4.9864 (5.0041)	Prec@1 5.469 (4.721)	Prec@5 15.625 (16.188)
Epoch: [16][6300/7045]	Time 0.100 (0.270)	Data 0.001 (0.207)	Loss 5.0583 (5.0041)	Prec@1 4.297 (4.720)	Prec@5 15.625 (16.188)
Epoch: [16][6310/7045]	Time 0.422 (0.270)	Data 0.371 (0.207)	Loss 4.9903 (5.0043)	Prec@1 3.906 (4.719)	Prec@5 17.969 (16.186)
Epoch: [16][6320/7045]	Time 0.104 (0.270)	Data 0.050 (0.207)	Loss 5.1794 (5.0045)	Prec@1 3.516 (4.717)	Prec@5 13.672 (16.181)
Epoch: [16][6330/7045]	Time 0.311 (0.270)	Data 0.260 (0.207)	Loss 4.9186 (5.0044)	Prec@1 5.859 (4.718)	Prec@5 19.141 (16.183)
Epoch: [16][6340/7045]	Time 0.102 (0.270)	Data 0.051 (0.207)	Loss 5.1372 (5.0044)	Prec@1 3.516 (4.717)	Prec@5 14.062 (16.183)
Epoch: [16][6350/7045]	Time 0.476 (0.270)	Data 0.424 (0.207)	Loss 4.9051 (5.0043)	Prec@1 3.516 (4.719)	Prec@5 17.188 (16.188)
Epoch: [16][6360/7045]	Time 0.107 (0.270)	Data 0.055 (0.207)	Loss 5.0208 (5.0043)	Prec@1 3.906 (4.720)	Prec@5 16.797 (16.189)
Epoch: [16][6370/7045]	Time 0.354 (0.270)	Data 0.303 (0.208)	Loss 5.0169 (5.0044)	Prec@1 5.078 (4.718)	Prec@5 13.281 (16.188)
Epoch: [16][6380/7045]	Time 0.132 (0.270)	Data 0.080 (0.208)	Loss 5.0255 (5.0044)	Prec@1 5.078 (4.719)	Prec@5 15.234 (16.188)
Epoch: [16][6390/7045]	Time 0.440 (0.270)	Data 0.389 (0.208)	Loss 4.9601 (5.0045)	Prec@1 4.297 (4.717)	Prec@5 14.453 (16.185)
Epoch: [16][6400/7045]	Time 0.101 (0.270)	Data 0.001 (0.207)	Loss 4.9055 (5.0045)	Prec@1 5.469 (4.717)	Prec@5 17.578 (16.185)
Epoch: [16][6410/7045]	Time 0.105 (0.270)	Data 0.052 (0.207)	Loss 5.1519 (5.0047)	Prec@1 4.688 (4.716)	Prec@5 14.062 (16.182)
Epoch: [16][6420/7045]	Time 0.347 (0.270)	Data 0.296 (0.207)	Loss 4.9387 (5.0047)	Prec@1 4.688 (4.716)	Prec@5 14.453 (16.182)
Epoch: [16][6430/7045]	Time 0.111 (0.270)	Data 0.001 (0.207)	Loss 4.9211 (5.0047)	Prec@1 3.125 (4.716)	Prec@5 14.453 (16.182)
Epoch: [16][6440/7045]	Time 0.499 (0.270)	Data 0.448 (0.208)	Loss 5.0082 (5.0046)	Prec@1 5.859 (4.716)	Prec@5 18.750 (16.183)
Epoch: [16][6450/7045]	Time 0.101 (0.270)	Data 0.002 (0.208)	Loss 5.2074 (5.0047)	Prec@1 2.344 (4.715)	Prec@5 12.891 (16.180)
Epoch: [16][6460/7045]	Time 0.485 (0.270)	Data 0.431 (0.208)	Loss 4.8759 (5.0048)	Prec@1 8.594 (4.714)	Prec@5 19.531 (16.176)
Epoch: [16][6470/7045]	Time 0.101 (0.270)	Data 0.046 (0.208)	Loss 5.0104 (5.0048)	Prec@1 5.078 (4.715)	Prec@5 17.578 (16.178)
Epoch: [16][6480/7045]	Time 0.439 (0.270)	Data 0.388 (0.208)	Loss 4.9090 (5.0047)	Prec@1 5.078 (4.715)	Prec@5 15.625 (16.180)
Epoch: [16][6490/7045]	Time 0.101 (0.270)	Data 0.007 (0.207)	Loss 4.9342 (5.0047)	Prec@1 4.688 (4.713)	Prec@5 17.969 (16.178)
Epoch: [16][6500/7045]	Time 0.486 (0.270)	Data 0.432 (0.207)	Loss 5.0257 (5.0048)	Prec@1 3.516 (4.713)	Prec@5 17.969 (16.178)
Epoch: [16][6510/7045]	Time 0.176 (0.270)	Data 0.124 (0.207)	Loss 5.0716 (5.0047)	Prec@1 3.125 (4.713)	Prec@5 11.328 (16.176)
Epoch: [16][6520/7045]	Time 0.401 (0.270)	Data 0.349 (0.207)	Loss 4.8585 (5.0047)	Prec@1 4.297 (4.714)	Prec@5 17.578 (16.177)
Epoch: [16][6530/7045]	Time 0.372 (0.270)	Data 0.321 (0.207)	Loss 4.9268 (5.0047)	Prec@1 5.469 (4.714)	Prec@5 14.844 (16.177)
Epoch: [16][6540/7045]	Time 0.103 (0.270)	Data 0.009 (0.207)	Loss 5.0554 (5.0046)	Prec@1 2.344 (4.713)	Prec@5 13.672 (16.178)
Epoch: [16][6550/7045]	Time 0.586 (0.270)	Data 0.530 (0.207)	Loss 4.9537 (5.0046)	Prec@1 3.125 (4.713)	Prec@5 15.234 (16.178)
Epoch: [16][6560/7045]	Time 0.124 (0.270)	Data 0.072 (0.207)	Loss 4.9631 (5.0047)	Prec@1 5.469 (4.712)	Prec@5 17.188 (16.177)
Epoch: [16][6570/7045]	Time 0.624 (0.270)	Data 0.574 (0.207)	Loss 5.0938 (5.0047)	Prec@1 3.906 (4.712)	Prec@5 15.625 (16.176)
Epoch: [16][6580/7045]	Time 0.112 (0.270)	Data 0.060 (0.207)	Loss 4.9979 (5.0047)	Prec@1 5.859 (4.711)	Prec@5 16.406 (16.177)
Epoch: [16][6590/7045]	Time 0.701 (0.270)	Data 0.650 (0.207)	Loss 4.8457 (5.0046)	Prec@1 8.203 (4.711)	Prec@5 18.359 (16.178)
Epoch: [16][6600/7045]	Time 0.113 (0.270)	Data 0.063 (0.207)	Loss 4.9520 (5.0045)	Prec@1 4.688 (4.711)	Prec@5 19.141 (16.180)
Epoch: [16][6610/7045]	Time 0.435 (0.270)	Data 0.385 (0.207)	Loss 4.9102 (5.0044)	Prec@1 6.641 (4.713)	Prec@5 16.016 (16.180)
Epoch: [16][6620/7045]	Time 0.338 (0.270)	Data 0.288 (0.207)	Loss 4.9529 (5.0044)	Prec@1 4.688 (4.713)	Prec@5 18.750 (16.179)
Epoch: [16][6630/7045]	Time 0.409 (0.270)	Data 0.356 (0.207)	Loss 4.9865 (5.0044)	Prec@1 4.297 (4.712)	Prec@5 14.062 (16.179)
Epoch: [16][6640/7045]	Time 0.313 (0.270)	Data 0.262 (0.207)	Loss 4.9975 (5.0043)	Prec@1 7.031 (4.713)	Prec@5 17.188 (16.181)
Epoch: [16][6650/7045]	Time 0.412 (0.270)	Data 0.360 (0.207)	Loss 4.9265 (5.0043)	Prec@1 5.859 (4.713)	Prec@5 19.531 (16.181)
Epoch: [16][6660/7045]	Time 0.101 (0.270)	Data 0.001 (0.207)	Loss 5.0706 (5.0043)	Prec@1 3.125 (4.713)	Prec@5 14.453 (16.181)
Epoch: [16][6670/7045]	Time 0.422 (0.270)	Data 0.365 (0.207)	Loss 4.9601 (5.0043)	Prec@1 4.688 (4.714)	Prec@5 15.625 (16.180)
Epoch: [16][6680/7045]	Time 0.363 (0.270)	Data 0.311 (0.207)	Loss 4.8755 (5.0043)	Prec@1 5.469 (4.713)	Prec@5 16.797 (16.180)
Epoch: [16][6690/7045]	Time 0.259 (0.270)	Data 0.207 (0.207)	Loss 5.0152 (5.0042)	Prec@1 4.297 (4.713)	Prec@5 17.578 (16.180)
Epoch: [16][6700/7045]	Time 0.098 (0.270)	Data 0.045 (0.207)	Loss 4.9115 (5.0042)	Prec@1 4.297 (4.714)	Prec@5 14.844 (16.179)
Epoch: [16][6710/7045]	Time 0.295 (0.270)	Data 0.244 (0.207)	Loss 4.9378 (5.0042)	Prec@1 5.469 (4.714)	Prec@5 15.234 (16.179)
Epoch: [16][6720/7045]	Time 0.288 (0.270)	Data 0.238 (0.207)	Loss 5.0709 (5.0042)	Prec@1 2.734 (4.713)	Prec@5 12.500 (16.178)
Epoch: [16][6730/7045]	Time 0.102 (0.270)	Data 0.049 (0.207)	Loss 4.9746 (5.0042)	Prec@1 5.078 (4.714)	Prec@5 19.531 (16.180)
Epoch: [16][6740/7045]	Time 0.384 (0.270)	Data 0.334 (0.207)	Loss 4.9951 (5.0041)	Prec@1 4.297 (4.714)	Prec@5 15.625 (16.182)
Epoch: [16][6750/7045]	Time 0.312 (0.270)	Data 0.261 (0.207)	Loss 4.9532 (5.0041)	Prec@1 5.078 (4.714)	Prec@5 16.797 (16.183)
Epoch: [16][6760/7045]	Time 0.179 (0.270)	Data 0.125 (0.207)	Loss 5.0992 (5.0040)	Prec@1 4.297 (4.714)	Prec@5 17.969 (16.184)
Epoch: [16][6770/7045]	Time 0.460 (0.270)	Data 0.408 (0.207)	Loss 5.0175 (5.0040)	Prec@1 6.250 (4.716)	Prec@5 16.016 (16.183)
Epoch: [16][6780/7045]	Time 0.375 (0.270)	Data 0.318 (0.207)	Loss 4.9709 (5.0040)	Prec@1 4.688 (4.716)	Prec@5 16.797 (16.184)
Epoch: [16][6790/7045]	Time 0.331 (0.270)	Data 0.280 (0.207)	Loss 5.0639 (5.0040)	Prec@1 5.859 (4.716)	Prec@5 17.188 (16.184)
Epoch: [16][6800/7045]	Time 0.367 (0.270)	Data 0.315 (0.207)	Loss 4.9905 (5.0039)	Prec@1 4.688 (4.717)	Prec@5 16.797 (16.185)
Epoch: [16][6810/7045]	Time 0.231 (0.270)	Data 0.172 (0.207)	Loss 4.8172 (5.0039)	Prec@1 3.516 (4.717)	Prec@5 17.578 (16.185)
Epoch: [16][6820/7045]	Time 0.441 (0.270)	Data 0.389 (0.207)	Loss 5.0267 (5.0038)	Prec@1 4.688 (4.717)	Prec@5 14.844 (16.185)
Epoch: [16][6830/7045]	Time 0.101 (0.270)	Data 0.001 (0.207)	Loss 4.8066 (5.0038)	Prec@1 7.031 (4.717)	Prec@5 19.922 (16.185)
Epoch: [16][6840/7045]	Time 0.377 (0.270)	Data 0.326 (0.207)	Loss 4.8778 (5.0037)	Prec@1 3.516 (4.718)	Prec@5 16.016 (16.187)
Epoch: [16][6850/7045]	Time 0.102 (0.270)	Data 0.001 (0.207)	Loss 5.1234 (5.0037)	Prec@1 3.906 (4.717)	Prec@5 12.500 (16.186)
Epoch: [16][6860/7045]	Time 0.273 (0.270)	Data 0.221 (0.207)	Loss 5.1572 (5.0038)	Prec@1 3.516 (4.717)	Prec@5 15.234 (16.184)
Epoch: [16][6870/7045]	Time 0.139 (0.270)	Data 0.088 (0.207)	Loss 5.0261 (5.0038)	Prec@1 3.906 (4.717)	Prec@5 13.281 (16.184)
Epoch: [16][6880/7045]	Time 0.101 (0.270)	Data 0.003 (0.207)	Loss 5.1285 (5.0038)	Prec@1 3.516 (4.717)	Prec@5 12.109 (16.184)
Epoch: [16][6890/7045]	Time 0.100 (0.270)	Data 0.004 (0.207)	Loss 4.8887 (5.0037)	Prec@1 5.078 (4.716)	Prec@5 17.578 (16.184)
Epoch: [16][6900/7045]	Time 0.132 (0.270)	Data 0.081 (0.207)	Loss 5.0260 (5.0037)	Prec@1 3.906 (4.716)	Prec@5 14.844 (16.184)
Epoch: [16][6910/7045]	Time 0.408 (0.270)	Data 0.356 (0.207)	Loss 4.9797 (5.0035)	Prec@1 4.688 (4.717)	Prec@5 16.406 (16.186)
Epoch: [16][6920/7045]	Time 0.107 (0.270)	Data 0.001 (0.207)	Loss 5.0060 (5.0036)	Prec@1 3.906 (4.716)	Prec@5 17.188 (16.186)
Epoch: [16][6930/7045]	Time 0.425 (0.270)	Data 0.375 (0.207)	Loss 5.1096 (5.0037)	Prec@1 4.688 (4.716)	Prec@5 14.844 (16.185)
Epoch: [16][6940/7045]	Time 0.181 (0.270)	Data 0.130 (0.207)	Loss 5.0119 (5.0037)	Prec@1 4.688 (4.717)	Prec@5 17.188 (16.186)
Epoch: [16][6950/7045]	Time 0.341 (0.270)	Data 0.290 (0.207)	Loss 4.8421 (5.0036)	Prec@1 5.469 (4.719)	Prec@5 19.141 (16.188)
Epoch: [16][6960/7045]	Time 0.232 (0.270)	Data 0.181 (0.207)	Loss 5.1506 (5.0036)	Prec@1 2.734 (4.721)	Prec@5 10.156 (16.188)
Epoch: [16][6970/7045]	Time 0.103 (0.270)	Data 0.050 (0.207)	Loss 4.9170 (5.0035)	Prec@1 5.078 (4.721)	Prec@5 21.094 (16.191)
Epoch: [16][6980/7045]	Time 0.111 (0.270)	Data 0.060 (0.207)	Loss 5.0476 (5.0035)	Prec@1 3.516 (4.722)	Prec@5 16.016 (16.192)
Epoch: [16][6990/7045]	Time 0.190 (0.270)	Data 0.140 (0.207)	Loss 4.9558 (5.0035)	Prec@1 3.906 (4.721)	Prec@5 16.797 (16.191)
Epoch: [16][7000/7045]	Time 0.101 (0.270)	Data 0.007 (0.207)	Loss 4.9765 (5.0035)	Prec@1 3.125 (4.722)	Prec@5 17.578 (16.191)
Epoch: [16][7010/7045]	Time 0.328 (0.270)	Data 0.277 (0.207)	Loss 5.1599 (5.0035)	Prec@1 3.906 (4.722)	Prec@5 14.844 (16.191)
Epoch: [16][7020/7045]	Time 0.102 (0.270)	Data 0.001 (0.207)	Loss 5.0772 (5.0035)	Prec@1 5.078 (4.721)	Prec@5 17.578 (16.190)
Epoch: [16][7030/7045]	Time 0.435 (0.270)	Data 0.385 (0.207)	Loss 5.0906 (5.0035)	Prec@1 2.734 (4.722)	Prec@5 13.672 (16.190)
Epoch: [16][7040/7045]	Time 0.405 (0.270)	Data 0.355 (0.207)	Loss 4.9917 (5.0036)	Prec@1 3.906 (4.720)	Prec@5 11.719 (16.187)
Test: [0/143]	Time 1.217 (1.217)	Loss 4.5932 (4.5932)	Prec@1 7.422 (7.422)	Prec@5 22.266 (22.266)
Test: [10/143]	Time 0.048 (0.258)	Loss 4.2079 (4.6490)	Prec@1 18.750 (7.386)	Prec@5 43.359 (26.030)
Test: [20/143]	Time 0.393 (0.233)	Loss 5.0343 (4.7347)	Prec@1 0.781 (7.013)	Prec@5 8.203 (22.693)
Test: [30/143]	Time 0.157 (0.211)	Loss 4.7023 (4.7319)	Prec@1 14.453 (7.812)	Prec@5 28.906 (22.782)
Test: [40/143]	Time 0.048 (0.206)	Loss 5.1585 (4.7375)	Prec@1 0.000 (7.841)	Prec@5 2.344 (22.218)
Test: [50/143]	Time 0.492 (0.206)	Loss 4.4014 (4.7476)	Prec@1 4.297 (7.024)	Prec@5 28.125 (21.324)
Test: [60/143]	Time 0.048 (0.200)	Loss 5.0247 (4.7378)	Prec@1 1.953 (6.929)	Prec@5 11.328 (21.395)
Test: [70/143]	Time 0.327 (0.197)	Loss 4.8618 (4.7276)	Prec@1 6.641 (7.136)	Prec@5 17.969 (21.666)
Test: [80/143]	Time 0.112 (0.194)	Loss 4.8021 (4.7360)	Prec@1 5.469 (6.834)	Prec@5 19.141 (21.282)
Test: [90/143]	Time 0.163 (0.193)	Loss 4.7633 (4.7339)	Prec@1 1.953 (6.782)	Prec@5 18.750 (21.347)
Test: [100/143]	Time 0.059 (0.190)	Loss 4.5432 (4.7348)	Prec@1 5.859 (6.606)	Prec@5 27.344 (21.341)
Test: [110/143]	Time 0.059 (0.189)	Loss 4.7758 (4.7348)	Prec@1 13.672 (6.785)	Prec@5 21.484 (21.449)
Test: [120/143]	Time 0.059 (0.188)	Loss 4.4638 (4.7351)	Prec@1 11.328 (6.867)	Prec@5 32.422 (21.630)
Test: [130/143]	Time 0.058 (0.188)	Loss 4.2382 (4.7248)	Prec@1 18.359 (7.052)	Prec@5 31.641 (21.920)
Test: [140/143]	Time 0.187 (0.187)	Loss 5.2541 (4.7383)	Prec@1 1.953 (6.992)	Prec@5 5.859 (21.581)
 * Prec@1 6.992 Prec@5 21.548
Epoch: [17][0/7045]	Time 2.616 (2.616)	Data 2.559 (2.559)	Loss 5.0789 (5.0789)	Prec@1 3.906 (3.906)	Prec@5 15.234 (15.234)
Epoch: [17][10/7045]	Time 0.139 (0.440)	Data 0.087 (0.368)	Loss 5.0005 (4.9956)	Prec@1 3.906 (5.185)	Prec@5 17.188 (15.945)
Epoch: [17][20/7045]	Time 0.158 (0.366)	Data 0.106 (0.293)	Loss 4.8960 (4.9740)	Prec@1 6.250 (5.264)	Prec@5 17.188 (16.109)
Epoch: [17][30/7045]	Time 0.110 (0.343)	Data 0.001 (0.272)	Loss 4.8498 (4.9733)	Prec@1 3.516 (4.889)	Prec@5 20.312 (16.255)
Epoch: [17][40/7045]	Time 0.591 (0.326)	Data 0.541 (0.257)	Loss 4.9890 (4.9812)	Prec@1 4.297 (4.754)	Prec@5 14.453 (15.978)
Epoch: [17][50/7045]	Time 0.114 (0.309)	Data 0.063 (0.240)	Loss 5.0581 (4.9899)	Prec@1 5.469 (4.772)	Prec@5 17.969 (16.100)
Epoch: [17][60/7045]	Time 0.125 (0.305)	Data 0.074 (0.238)	Loss 4.9773 (4.9941)	Prec@1 5.859 (4.790)	Prec@5 18.750 (16.163)
Epoch: [17][70/7045]	Time 0.435 (0.302)	Data 0.384 (0.233)	Loss 5.0453 (4.9946)	Prec@1 8.984 (4.880)	Prec@5 19.531 (16.197)
Epoch: [17][80/7045]	Time 0.841 (0.299)	Data 0.789 (0.232)	Loss 5.0072 (4.9927)	Prec@1 6.250 (4.885)	Prec@5 17.188 (16.252)
Epoch: [17][90/7045]	Time 0.101 (0.291)	Data 0.001 (0.222)	Loss 5.0398 (4.9991)	Prec@1 4.297 (4.838)	Prec@5 14.844 (16.239)
Epoch: [17][100/7045]	Time 0.102 (0.290)	Data 0.001 (0.222)	Loss 4.9565 (4.9957)	Prec@1 2.734 (4.804)	Prec@5 15.234 (16.344)
Epoch: [17][110/7045]	Time 0.371 (0.288)	Data 0.319 (0.219)	Loss 5.0987 (4.9964)	Prec@1 3.125 (4.853)	Prec@5 14.844 (16.368)
Epoch: [17][120/7045]	Time 0.225 (0.284)	Data 0.173 (0.216)	Loss 5.0616 (4.9921)	Prec@1 4.688 (4.865)	Prec@5 16.016 (16.464)
Epoch: [17][130/7045]	Time 0.140 (0.282)	Data 0.089 (0.214)	Loss 4.9142 (4.9957)	Prec@1 6.641 (4.852)	Prec@5 18.750 (16.356)
Epoch: [17][140/7045]	Time 0.108 (0.284)	Data 0.001 (0.216)	Loss 5.1196 (4.9956)	Prec@1 2.734 (4.845)	Prec@5 13.672 (16.315)
Epoch: [17][150/7045]	Time 0.223 (0.282)	Data 0.172 (0.214)	Loss 4.8838 (4.9955)	Prec@1 5.859 (4.804)	Prec@5 20.312 (16.298)
Epoch: [17][160/7045]	Time 0.101 (0.290)	Data 0.001 (0.222)	Loss 5.0275 (4.9958)	Prec@1 5.469 (4.802)	Prec@5 16.797 (16.285)
Epoch: [17][170/7045]	Time 0.106 (0.288)	Data 0.054 (0.220)	Loss 4.9630 (4.9962)	Prec@1 7.422 (4.802)	Prec@5 17.578 (16.338)
Epoch: [17][180/7045]	Time 0.101 (0.290)	Data 0.001 (0.221)	Loss 5.0289 (4.9922)	Prec@1 4.688 (4.830)	Prec@5 17.188 (16.434)
Epoch: [17][190/7045]	Time 0.135 (0.288)	Data 0.084 (0.220)	Loss 4.8839 (4.9910)	Prec@1 5.078 (4.831)	Prec@5 18.359 (16.490)
Epoch: [17][200/7045]	Time 0.268 (0.287)	Data 0.215 (0.218)	Loss 5.0653 (4.9915)	Prec@1 7.031 (4.841)	Prec@5 14.844 (16.498)
Epoch: [17][210/7045]	Time 0.102 (0.286)	Data 0.001 (0.218)	Loss 4.9718 (4.9894)	Prec@1 4.688 (4.852)	Prec@5 16.016 (16.534)
Epoch: [17][220/7045]	Time 0.318 (0.285)	Data 0.267 (0.217)	Loss 4.7713 (4.9888)	Prec@1 7.031 (4.857)	Prec@5 21.875 (16.505)
Epoch: [17][230/7045]	Time 0.197 (0.289)	Data 0.147 (0.221)	Loss 5.0175 (4.9910)	Prec@1 4.297 (4.852)	Prec@5 14.453 (16.455)
Epoch: [17][240/7045]	Time 0.685 (0.290)	Data 0.634 (0.222)	Loss 5.0677 (4.9900)	Prec@1 4.688 (4.864)	Prec@5 12.109 (16.431)
Epoch: [17][250/7045]	Time 0.101 (0.288)	Data 0.001 (0.220)	Loss 4.9369 (4.9916)	Prec@1 5.469 (4.868)	Prec@5 17.188 (16.412)
Epoch: [17][260/7045]	Time 0.102 (0.287)	Data 0.001 (0.219)	Loss 4.8819 (4.9929)	Prec@1 5.859 (4.881)	Prec@5 20.312 (16.417)
Epoch: [17][270/7045]	Time 0.444 (0.287)	Data 0.392 (0.218)	Loss 4.9313 (4.9935)	Prec@1 4.688 (4.837)	Prec@5 21.094 (16.405)
Epoch: [17][280/7045]	Time 0.108 (0.288)	Data 0.002 (0.219)	Loss 5.0895 (4.9967)	Prec@1 2.734 (4.829)	Prec@5 16.406 (16.353)
Epoch: [17][290/7045]	Time 0.318 (0.286)	Data 0.266 (0.218)	Loss 5.1083 (4.9990)	Prec@1 3.125 (4.800)	Prec@5 15.625 (16.298)
Epoch: [17][300/7045]	Time 0.525 (0.292)	Data 0.474 (0.224)	Loss 5.1155 (4.9989)	Prec@1 3.906 (4.787)	Prec@5 17.969 (16.276)
Epoch: [17][310/7045]	Time 0.410 (0.291)	Data 0.358 (0.223)	Loss 4.9914 (4.9988)	Prec@1 6.250 (4.784)	Prec@5 19.531 (16.294)
Epoch: [17][320/7045]	Time 0.126 (0.290)	Data 0.075 (0.222)	Loss 5.1625 (5.0009)	Prec@1 3.516 (4.771)	Prec@5 12.109 (16.252)
Epoch: [17][330/7045]	Time 0.332 (0.289)	Data 0.280 (0.221)	Loss 4.9016 (5.0008)	Prec@1 5.078 (4.774)	Prec@5 17.578 (16.250)
Epoch: [17][340/7045]	Time 0.510 (0.288)	Data 0.458 (0.221)	Loss 4.9440 (5.0014)	Prec@1 7.422 (4.775)	Prec@5 17.578 (16.234)
Epoch: [17][350/7045]	Time 0.109 (0.287)	Data 0.001 (0.219)	Loss 5.0072 (5.0011)	Prec@1 7.031 (4.784)	Prec@5 17.969 (16.242)
Epoch: [17][360/7045]	Time 0.107 (0.286)	Data 0.005 (0.219)	Loss 5.0666 (5.0010)	Prec@1 3.516 (4.782)	Prec@5 12.109 (16.243)
Epoch: [17][370/7045]	Time 0.535 (0.290)	Data 0.484 (0.222)	Loss 5.0241 (5.0002)	Prec@1 5.469 (4.801)	Prec@5 17.969 (16.271)
Epoch: [17][380/7045]	Time 0.101 (0.289)	Data 0.001 (0.221)	Loss 5.0110 (4.9987)	Prec@1 4.297 (4.804)	Prec@5 15.234 (16.261)
Epoch: [17][390/7045]	Time 0.100 (0.288)	Data 0.002 (0.220)	Loss 5.2265 (4.9992)	Prec@1 3.125 (4.802)	Prec@5 12.500 (16.256)
Epoch: [17][400/7045]	Time 0.243 (0.288)	Data 0.192 (0.221)	Loss 4.9284 (5.0005)	Prec@1 5.859 (4.800)	Prec@5 19.531 (16.227)
Epoch: [17][410/7045]	Time 0.107 (0.286)	Data 0.055 (0.219)	Loss 5.0937 (5.0013)	Prec@1 3.516 (4.792)	Prec@5 14.844 (16.224)
Epoch: [17][420/7045]	Time 0.225 (0.286)	Data 0.175 (0.219)	Loss 5.0339 (5.0024)	Prec@1 3.906 (4.775)	Prec@5 15.234 (16.205)
Epoch: [17][430/7045]	Time 0.101 (0.286)	Data 0.046 (0.218)	Loss 5.1324 (5.0036)	Prec@1 2.344 (4.757)	Prec@5 12.500 (16.179)
Epoch: [17][440/7045]	Time 0.327 (0.288)	Data 0.277 (0.221)	Loss 5.0165 (5.0058)	Prec@1 3.516 (4.742)	Prec@5 17.188 (16.156)
Epoch: [17][450/7045]	Time 0.319 (0.288)	Data 0.269 (0.221)	Loss 4.8950 (5.0055)	Prec@1 5.859 (4.744)	Prec@5 19.922 (16.164)
Epoch: [17][460/7045]	Time 0.270 (0.287)	Data 0.217 (0.220)	Loss 4.8063 (5.0054)	Prec@1 7.812 (4.744)	Prec@5 20.703 (16.161)
Epoch: [17][470/7045]	Time 0.236 (0.287)	Data 0.184 (0.220)	Loss 4.9404 (5.0057)	Prec@1 3.906 (4.751)	Prec@5 18.359 (16.166)
Epoch: [17][480/7045]	Time 0.243 (0.286)	Data 0.193 (0.219)	Loss 4.9514 (5.0054)	Prec@1 5.859 (4.757)	Prec@5 16.406 (16.157)
Epoch: [17][490/7045]	Time 0.672 (0.286)	Data 0.621 (0.220)	Loss 4.8923 (5.0042)	Prec@1 5.859 (4.762)	Prec@5 18.750 (16.176)
Epoch: [17][500/7045]	Time 0.110 (0.285)	Data 0.003 (0.219)	Loss 5.0391 (5.0037)	Prec@1 5.078 (4.774)	Prec@5 17.969 (16.189)
Epoch: [17][510/7045]	Time 0.234 (0.287)	Data 0.182 (0.220)	Loss 5.1024 (5.0041)	Prec@1 4.688 (4.766)	Prec@5 13.672 (16.178)
Epoch: [17][520/7045]	Time 0.416 (0.287)	Data 0.357 (0.221)	Loss 4.9793 (5.0050)	Prec@1 7.031 (4.765)	Prec@5 18.359 (16.169)
Epoch: [17][530/7045]	Time 0.111 (0.286)	Data 0.052 (0.220)	Loss 5.1411 (5.0071)	Prec@1 4.297 (4.746)	Prec@5 11.719 (16.134)
Epoch: [17][540/7045]	Time 0.303 (0.285)	Data 0.252 (0.219)	Loss 4.9647 (5.0075)	Prec@1 3.516 (4.746)	Prec@5 17.969 (16.126)
Epoch: [17][550/7045]	Time 0.101 (0.286)	Data 0.001 (0.219)	Loss 4.9748 (5.0076)	Prec@1 5.469 (4.739)	Prec@5 19.922 (16.119)
Epoch: [17][560/7045]	Time 0.303 (0.285)	Data 0.252 (0.219)	Loss 5.0196 (5.0077)	Prec@1 6.641 (4.759)	Prec@5 17.969 (16.138)
Epoch: [17][570/7045]	Time 0.103 (0.285)	Data 0.001 (0.218)	Loss 5.0245 (5.0083)	Prec@1 4.297 (4.748)	Prec@5 16.406 (16.118)
Epoch: [17][580/7045]	Time 0.471 (0.285)	Data 0.420 (0.218)	Loss 5.1934 (5.0078)	Prec@1 6.641 (4.757)	Prec@5 16.016 (16.133)
Epoch: [17][590/7045]	Time 0.102 (0.284)	Data 0.001 (0.217)	Loss 4.9269 (5.0078)	Prec@1 6.250 (4.760)	Prec@5 21.094 (16.134)
Epoch: [17][600/7045]	Time 0.154 (0.283)	Data 0.094 (0.217)	Loss 5.0344 (5.0085)	Prec@1 2.344 (4.748)	Prec@5 14.062 (16.122)
Epoch: [17][610/7045]	Time 0.241 (0.282)	Data 0.190 (0.216)	Loss 5.0130 (5.0080)	Prec@1 4.688 (4.752)	Prec@5 20.312 (16.149)
Epoch: [17][620/7045]	Time 0.276 (0.282)	Data 0.223 (0.216)	Loss 5.1578 (5.0097)	Prec@1 3.516 (4.734)	Prec@5 13.281 (16.116)
Epoch: [17][630/7045]	Time 0.101 (0.282)	Data 0.001 (0.216)	Loss 4.9830 (5.0103)	Prec@1 5.859 (4.736)	Prec@5 17.969 (16.106)
Epoch: [17][640/7045]	Time 0.297 (0.281)	Data 0.246 (0.215)	Loss 4.8997 (5.0101)	Prec@1 6.641 (4.738)	Prec@5 17.969 (16.102)
Epoch: [17][650/7045]	Time 0.303 (0.281)	Data 0.251 (0.215)	Loss 5.0586 (5.0112)	Prec@1 3.906 (4.726)	Prec@5 14.062 (16.078)
Epoch: [17][660/7045]	Time 0.276 (0.283)	Data 0.225 (0.217)	Loss 5.0867 (5.0120)	Prec@1 4.297 (4.725)	Prec@5 15.625 (16.068)
Epoch: [17][670/7045]	Time 0.489 (0.282)	Data 0.439 (0.216)	Loss 4.9481 (5.0119)	Prec@1 5.859 (4.724)	Prec@5 15.625 (16.062)
Epoch: [17][680/7045]	Time 0.101 (0.282)	Data 0.001 (0.216)	Loss 5.1015 (5.0117)	Prec@1 4.297 (4.729)	Prec@5 15.625 (16.062)
Epoch: [17][690/7045]	Time 0.516 (0.282)	Data 0.465 (0.216)	Loss 4.9715 (5.0115)	Prec@1 4.688 (4.723)	Prec@5 16.016 (16.053)
Epoch: [17][700/7045]	Time 0.326 (0.281)	Data 0.274 (0.215)	Loss 5.1116 (5.0122)	Prec@1 3.906 (4.721)	Prec@5 14.062 (16.024)
Epoch: [17][710/7045]	Time 0.679 (0.281)	Data 0.626 (0.215)	Loss 4.9300 (5.0126)	Prec@1 6.250 (4.712)	Prec@5 20.703 (16.021)
Epoch: [17][720/7045]	Time 0.528 (0.280)	Data 0.476 (0.215)	Loss 5.0050 (5.0133)	Prec@1 4.297 (4.705)	Prec@5 19.141 (16.016)
Epoch: [17][730/7045]	Time 0.101 (0.280)	Data 0.001 (0.214)	Loss 5.0896 (5.0134)	Prec@1 3.516 (4.716)	Prec@5 13.281 (16.028)
Epoch: [17][740/7045]	Time 0.616 (0.280)	Data 0.565 (0.214)	Loss 5.1486 (5.0133)	Prec@1 3.906 (4.714)	Prec@5 12.109 (16.029)
Epoch: [17][750/7045]	Time 1.298 (0.281)	Data 1.246 (0.215)	Loss 4.8401 (5.0131)	Prec@1 7.422 (4.716)	Prec@5 18.359 (16.025)
Epoch: [17][760/7045]	Time 0.287 (0.280)	Data 0.235 (0.214)	Loss 5.0968 (5.0135)	Prec@1 3.125 (4.717)	Prec@5 14.844 (16.018)
Epoch: [17][770/7045]	Time 0.205 (0.280)	Data 0.154 (0.214)	Loss 4.9905 (5.0137)	Prec@1 5.078 (4.713)	Prec@5 17.578 (16.015)
Epoch: [17][780/7045]	Time 0.120 (0.279)	Data 0.068 (0.213)	Loss 5.0087 (5.0141)	Prec@1 4.297 (4.713)	Prec@5 17.188 (16.010)
Epoch: [17][790/7045]	Time 0.102 (0.279)	Data 0.001 (0.214)	Loss 4.9266 (5.0137)	Prec@1 6.250 (4.720)	Prec@5 17.188 (16.019)
Epoch: [17][800/7045]	Time 0.395 (0.279)	Data 0.344 (0.213)	Loss 4.9651 (5.0130)	Prec@1 4.688 (4.722)	Prec@5 16.406 (16.029)
Epoch: [17][810/7045]	Time 0.112 (0.279)	Data 0.060 (0.213)	Loss 5.0854 (5.0128)	Prec@1 0.781 (4.716)	Prec@5 13.281 (16.034)
Epoch: [17][820/7045]	Time 0.515 (0.278)	Data 0.462 (0.213)	Loss 4.9690 (5.0131)	Prec@1 4.688 (4.707)	Prec@5 15.625 (16.015)
Epoch: [17][830/7045]	Time 0.249 (0.279)	Data 0.194 (0.213)	Loss 4.8702 (5.0127)	Prec@1 7.422 (4.709)	Prec@5 18.359 (16.010)
Epoch: [17][840/7045]	Time 0.101 (0.279)	Data 0.010 (0.213)	Loss 5.0151 (5.0127)	Prec@1 4.688 (4.707)	Prec@5 17.188 (16.005)
Epoch: [17][850/7045]	Time 0.291 (0.278)	Data 0.239 (0.212)	Loss 4.9091 (5.0126)	Prec@1 4.688 (4.695)	Prec@5 18.359 (15.984)
Epoch: [17][860/7045]	Time 0.101 (0.278)	Data 0.001 (0.212)	Loss 4.9458 (5.0122)	Prec@1 4.297 (4.685)	Prec@5 21.094 (15.988)
Epoch: [17][870/7045]	Time 0.250 (0.278)	Data 0.198 (0.212)	Loss 5.0407 (5.0116)	Prec@1 5.469 (4.689)	Prec@5 14.062 (15.997)
Epoch: [17][880/7045]	Time 0.233 (0.277)	Data 0.182 (0.212)	Loss 4.8654 (5.0104)	Prec@1 5.859 (4.688)	Prec@5 19.141 (16.011)
Epoch: [17][890/7045]	Time 0.338 (0.277)	Data 0.287 (0.212)	Loss 5.2076 (5.0107)	Prec@1 3.516 (4.679)	Prec@5 12.500 (16.004)
Epoch: [17][900/7045]	Time 0.106 (0.277)	Data 0.052 (0.211)	Loss 5.2209 (5.0112)	Prec@1 3.125 (4.666)	Prec@5 13.281 (15.986)
Epoch: [17][910/7045]	Time 0.581 (0.277)	Data 0.529 (0.211)	Loss 5.1829 (5.0118)	Prec@1 3.125 (4.663)	Prec@5 12.891 (15.971)
Epoch: [17][920/7045]	Time 0.126 (0.277)	Data 0.075 (0.211)	Loss 4.9149 (5.0123)	Prec@1 5.469 (4.655)	Prec@5 18.750 (15.963)
Epoch: [17][930/7045]	Time 0.828 (0.277)	Data 0.777 (0.211)	Loss 4.9800 (5.0129)	Prec@1 5.078 (4.651)	Prec@5 17.188 (15.957)
Epoch: [17][940/7045]	Time 0.104 (0.276)	Data 0.054 (0.210)	Loss 5.0414 (5.0130)	Prec@1 2.734 (4.646)	Prec@5 12.891 (15.939)
Epoch: [17][950/7045]	Time 0.624 (0.276)	Data 0.573 (0.210)	Loss 5.0930 (5.0136)	Prec@1 2.344 (4.636)	Prec@5 12.500 (15.912)
Epoch: [17][960/7045]	Time 0.173 (0.276)	Data 0.120 (0.210)	Loss 4.9349 (5.0136)	Prec@1 4.688 (4.632)	Prec@5 16.406 (15.906)
Epoch: [17][970/7045]	Time 0.484 (0.276)	Data 0.432 (0.210)	Loss 4.9781 (5.0132)	Prec@1 5.469 (4.638)	Prec@5 18.359 (15.913)
Epoch: [17][980/7045]	Time 0.129 (0.275)	Data 0.078 (0.209)	Loss 4.8415 (5.0127)	Prec@1 5.078 (4.637)	Prec@5 19.141 (15.923)
Epoch: [17][990/7045]	Time 0.442 (0.275)	Data 0.392 (0.209)	Loss 4.9365 (5.0126)	Prec@1 6.250 (4.641)	Prec@5 17.188 (15.925)
Epoch: [17][1000/7045]	Time 0.198 (0.275)	Data 0.146 (0.209)	Loss 5.0356 (5.0117)	Prec@1 4.688 (4.649)	Prec@5 15.234 (15.933)
Epoch: [17][1010/7045]	Time 0.308 (0.275)	Data 0.258 (0.208)	Loss 5.0843 (5.0112)	Prec@1 5.078 (4.652)	Prec@5 11.719 (15.938)
Epoch: [17][1020/7045]	Time 0.117 (0.277)	Data 0.008 (0.211)	Loss 5.0819 (5.0113)	Prec@1 3.906 (4.648)	Prec@5 12.500 (15.935)
Epoch: [17][1030/7045]	Time 0.102 (0.276)	Data 0.001 (0.210)	Loss 5.0531 (5.0110)	Prec@1 5.078 (4.655)	Prec@5 16.797 (15.941)
Epoch: [17][1040/7045]	Time 0.100 (0.276)	Data 0.017 (0.210)	Loss 5.0299 (5.0111)	Prec@1 5.469 (4.656)	Prec@5 14.453 (15.933)
Epoch: [17][1050/7045]	Time 0.611 (0.276)	Data 0.560 (0.210)	Loss 5.0835 (5.0111)	Prec@1 5.078 (4.658)	Prec@5 14.062 (15.931)
Epoch: [17][1060/7045]	Time 0.101 (0.276)	Data 0.001 (0.210)	Loss 5.1573 (5.0111)	Prec@1 3.906 (4.655)	Prec@5 13.672 (15.934)
Epoch: [17][1070/7045]	Time 0.776 (0.276)	Data 0.724 (0.210)	Loss 5.0608 (5.0111)	Prec@1 4.688 (4.660)	Prec@5 14.453 (15.932)
Epoch: [17][1080/7045]	Time 0.100 (0.276)	Data 0.001 (0.209)	Loss 5.0766 (5.0110)	Prec@1 5.078 (4.664)	Prec@5 15.625 (15.934)
Epoch: [17][1090/7045]	Time 0.567 (0.276)	Data 0.506 (0.210)	Loss 5.0825 (5.0108)	Prec@1 3.906 (4.667)	Prec@5 12.891 (15.942)
Epoch: [17][1100/7045]	Time 0.139 (0.276)	Data 0.080 (0.209)	Loss 4.9702 (5.0100)	Prec@1 4.297 (4.664)	Prec@5 17.578 (15.954)
Epoch: [17][1110/7045]	Time 0.536 (0.276)	Data 0.485 (0.210)	Loss 4.9243 (5.0094)	Prec@1 5.859 (4.669)	Prec@5 20.312 (15.963)
Epoch: [17][1120/7045]	Time 0.101 (0.276)	Data 0.019 (0.209)	Loss 4.8680 (5.0088)	Prec@1 3.906 (4.674)	Prec@5 17.969 (15.977)
Epoch: [17][1130/7045]	Time 0.660 (0.276)	Data 0.609 (0.209)	Loss 4.9643 (5.0082)	Prec@1 4.688 (4.683)	Prec@5 16.406 (15.996)
Epoch: [17][1140/7045]	Time 0.380 (0.275)	Data 0.329 (0.209)	Loss 5.0935 (5.0082)	Prec@1 4.688 (4.685)	Prec@5 14.453 (15.995)
Epoch: [17][1150/7045]	Time 0.231 (0.275)	Data 0.179 (0.209)	Loss 5.1421 (5.0083)	Prec@1 2.734 (4.682)	Prec@5 12.109 (15.993)
Epoch: [17][1160/7045]	Time 0.537 (0.275)	Data 0.485 (0.209)	Loss 4.9842 (5.0082)	Prec@1 5.469 (4.683)	Prec@5 13.281 (15.997)
Epoch: [17][1170/7045]	Time 0.102 (0.275)	Data 0.001 (0.208)	Loss 5.0512 (5.0085)	Prec@1 3.516 (4.683)	Prec@5 13.281 (16.000)
Epoch: [17][1180/7045]	Time 0.529 (0.275)	Data 0.479 (0.208)	Loss 4.9546 (5.0082)	Prec@1 6.250 (4.689)	Prec@5 19.141 (16.004)
Epoch: [17][1190/7045]	Time 0.101 (0.274)	Data 0.001 (0.208)	Loss 4.9435 (5.0084)	Prec@1 3.906 (4.688)	Prec@5 13.672 (15.996)
Epoch: [17][1200/7045]	Time 0.652 (0.274)	Data 0.600 (0.208)	Loss 4.9618 (5.0084)	Prec@1 4.688 (4.691)	Prec@5 15.625 (16.000)
Epoch: [17][1210/7045]	Time 0.101 (0.275)	Data 0.001 (0.209)	Loss 5.1786 (5.0080)	Prec@1 4.297 (4.696)	Prec@5 13.672 (16.015)
Epoch: [17][1220/7045]	Time 0.530 (0.275)	Data 0.479 (0.208)	Loss 4.9555 (5.0081)	Prec@1 6.641 (4.700)	Prec@5 18.750 (16.015)
Epoch: [17][1230/7045]	Time 0.136 (0.275)	Data 0.085 (0.208)	Loss 4.9271 (5.0080)	Prec@1 5.469 (4.699)	Prec@5 16.016 (16.016)
Epoch: [17][1240/7045]	Time 0.319 (0.275)	Data 0.268 (0.208)	Loss 4.9936 (5.0083)	Prec@1 3.125 (4.694)	Prec@5 16.797 (16.006)
Epoch: [17][1250/7045]	Time 0.252 (0.275)	Data 0.200 (0.208)	Loss 4.9999 (5.0090)	Prec@1 7.422 (4.693)	Prec@5 17.188 (16.000)
Epoch: [17][1260/7045]	Time 0.137 (0.274)	Data 0.087 (0.207)	Loss 5.0490 (5.0098)	Prec@1 3.906 (4.684)	Prec@5 17.969 (15.991)
Epoch: [17][1270/7045]	Time 0.329 (0.274)	Data 0.271 (0.207)	Loss 5.0514 (5.0106)	Prec@1 2.344 (4.677)	Prec@5 14.453 (15.980)
Epoch: [17][1280/7045]	Time 0.101 (0.275)	Data 0.021 (0.208)	Loss 5.1135 (5.0111)	Prec@1 4.297 (4.671)	Prec@5 12.109 (15.966)
Epoch: [17][1290/7045]	Time 0.482 (0.275)	Data 0.424 (0.208)	Loss 5.0068 (5.0108)	Prec@1 3.906 (4.674)	Prec@5 16.016 (15.968)
Epoch: [17][1300/7045]	Time 0.102 (0.274)	Data 0.005 (0.208)	Loss 5.0738 (5.0109)	Prec@1 2.734 (4.666)	Prec@5 15.234 (15.961)
Epoch: [17][1310/7045]	Time 0.139 (0.274)	Data 0.087 (0.207)	Loss 5.2147 (5.0107)	Prec@1 2.734 (4.666)	Prec@5 12.109 (15.968)
Epoch: [17][1320/7045]	Time 0.376 (0.274)	Data 0.324 (0.208)	Loss 4.9214 (5.0107)	Prec@1 3.516 (4.664)	Prec@5 20.703 (15.972)
Epoch: [17][1330/7045]	Time 0.105 (0.274)	Data 0.014 (0.207)	Loss 4.9371 (5.0099)	Prec@1 4.297 (4.665)	Prec@5 16.406 (15.978)
Epoch: [17][1340/7045]	Time 0.264 (0.274)	Data 0.212 (0.207)	Loss 4.9562 (5.0094)	Prec@1 4.688 (4.663)	Prec@5 13.281 (15.980)
Epoch: [17][1350/7045]	Time 0.106 (0.273)	Data 0.053 (0.207)	Loss 4.9827 (5.0093)	Prec@1 5.078 (4.667)	Prec@5 17.188 (15.985)
Epoch: [17][1360/7045]	Time 0.562 (0.274)	Data 0.512 (0.207)	Loss 4.7971 (5.0089)	Prec@1 5.469 (4.666)	Prec@5 21.484 (15.995)
Epoch: [17][1370/7045]	Time 0.234 (0.273)	Data 0.183 (0.207)	Loss 4.8895 (5.0081)	Prec@1 5.078 (4.669)	Prec@5 16.797 (16.008)
Epoch: [17][1380/7045]	Time 0.557 (0.275)	Data 0.505 (0.209)	Loss 5.0429 (5.0082)	Prec@1 6.641 (4.668)	Prec@5 17.578 (16.004)
Epoch: [17][1390/7045]	Time 0.105 (0.275)	Data 0.053 (0.209)	Loss 4.9757 (5.0080)	Prec@1 3.906 (4.667)	Prec@5 16.406 (16.002)
Epoch: [17][1400/7045]	Time 0.728 (0.275)	Data 0.676 (0.209)	Loss 5.2476 (5.0076)	Prec@1 2.344 (4.674)	Prec@5 10.938 (16.008)
Epoch: [17][1410/7045]	Time 0.102 (0.274)	Data 0.016 (0.208)	Loss 4.8934 (5.0077)	Prec@1 5.469 (4.677)	Prec@5 19.922 (16.013)
Epoch: [17][1420/7045]	Time 0.742 (0.275)	Data 0.684 (0.208)	Loss 5.1617 (5.0079)	Prec@1 5.469 (4.678)	Prec@5 13.281 (16.013)
Epoch: [17][1430/7045]	Time 0.161 (0.274)	Data 0.110 (0.208)	Loss 4.9552 (5.0077)	Prec@1 5.469 (4.680)	Prec@5 16.797 (16.016)
Epoch: [17][1440/7045]	Time 0.389 (0.274)	Data 0.338 (0.208)	Loss 5.0178 (5.0075)	Prec@1 3.125 (4.684)	Prec@5 16.406 (16.028)
Epoch: [17][1450/7045]	Time 0.127 (0.275)	Data 0.076 (0.209)	Loss 4.9851 (5.0076)	Prec@1 5.078 (4.683)	Prec@5 16.797 (16.020)
Epoch: [17][1460/7045]	Time 0.219 (0.275)	Data 0.167 (0.208)	Loss 5.0136 (5.0074)	Prec@1 4.688 (4.683)	Prec@5 14.844 (16.017)
Epoch: [17][1470/7045]	Time 0.100 (0.275)	Data 0.001 (0.208)	Loss 4.8317 (5.0072)	Prec@1 5.078 (4.681)	Prec@5 18.750 (16.020)
Epoch: [17][1480/7045]	Time 0.100 (0.274)	Data 0.048 (0.208)	Loss 4.8344 (5.0068)	Prec@1 5.469 (4.686)	Prec@5 19.141 (16.020)
Epoch: [17][1490/7045]	Time 0.293 (0.274)	Data 0.241 (0.208)	Loss 4.9772 (5.0067)	Prec@1 6.641 (4.693)	Prec@5 15.625 (16.022)
Epoch: [17][1500/7045]	Time 0.135 (0.274)	Data 0.076 (0.208)	Loss 5.0958 (5.0069)	Prec@1 3.125 (4.690)	Prec@5 16.406 (16.018)
Epoch: [17][1510/7045]	Time 0.422 (0.274)	Data 0.370 (0.208)	Loss 4.9476 (5.0071)	Prec@1 5.859 (4.685)	Prec@5 17.188 (16.013)
Epoch: [17][1520/7045]	Time 0.101 (0.274)	Data 0.001 (0.208)	Loss 5.0021 (5.0074)	Prec@1 7.031 (4.689)	Prec@5 16.797 (16.013)
Epoch: [17][1530/7045]	Time 0.374 (0.274)	Data 0.322 (0.208)	Loss 4.9839 (5.0070)	Prec@1 3.125 (4.691)	Prec@5 17.188 (16.019)
Epoch: [17][1540/7045]	Time 0.101 (0.274)	Data 0.005 (0.208)	Loss 5.0560 (5.0071)	Prec@1 4.688 (4.692)	Prec@5 17.578 (16.019)
Epoch: [17][1550/7045]	Time 0.547 (0.274)	Data 0.495 (0.208)	Loss 5.0773 (5.0071)	Prec@1 5.469 (4.694)	Prec@5 13.672 (16.012)
Epoch: [17][1560/7045]	Time 0.108 (0.275)	Data 0.010 (0.209)	Loss 5.0632 (5.0070)	Prec@1 7.812 (4.700)	Prec@5 16.797 (16.016)
Epoch: [17][1570/7045]	Time 0.697 (0.275)	Data 0.641 (0.209)	Loss 5.1013 (5.0067)	Prec@1 1.172 (4.700)	Prec@5 13.672 (16.020)
Epoch: [17][1580/7045]	Time 0.107 (0.275)	Data 0.012 (0.209)	Loss 4.9549 (5.0066)	Prec@1 5.469 (4.702)	Prec@5 18.750 (16.025)
Epoch: [17][1590/7045]	Time 0.459 (0.275)	Data 0.407 (0.209)	Loss 5.0390 (5.0065)	Prec@1 5.078 (4.703)	Prec@5 15.234 (16.028)
Epoch: [17][1600/7045]	Time 0.101 (0.275)	Data 0.001 (0.209)	Loss 5.1771 (5.0062)	Prec@1 3.516 (4.702)	Prec@5 11.328 (16.035)
Epoch: [17][1610/7045]	Time 0.325 (0.274)	Data 0.274 (0.208)	Loss 5.0302 (5.0065)	Prec@1 5.078 (4.703)	Prec@5 17.578 (16.032)
Epoch: [17][1620/7045]	Time 0.107 (0.274)	Data 0.055 (0.208)	Loss 4.9441 (5.0067)	Prec@1 3.906 (4.697)	Prec@5 16.016 (16.026)
Epoch: [17][1630/7045]	Time 0.106 (0.275)	Data 0.054 (0.209)	Loss 4.9778 (5.0064)	Prec@1 5.469 (4.700)	Prec@5 15.234 (16.032)
Epoch: [17][1640/7045]	Time 0.252 (0.275)	Data 0.200 (0.209)	Loss 4.9962 (5.0061)	Prec@1 6.250 (4.702)	Prec@5 16.016 (16.037)
Epoch: [17][1650/7045]	Time 0.133 (0.275)	Data 0.081 (0.209)	Loss 4.8597 (5.0057)	Prec@1 5.859 (4.704)	Prec@5 16.797 (16.045)
Epoch: [17][1660/7045]	Time 0.145 (0.275)	Data 0.095 (0.209)	Loss 4.9312 (5.0056)	Prec@1 4.688 (4.706)	Prec@5 18.750 (16.052)
Epoch: [17][1670/7045]	Time 0.101 (0.275)	Data 0.001 (0.209)	Loss 4.9828 (5.0056)	Prec@1 8.203 (4.710)	Prec@5 17.969 (16.058)
Epoch: [17][1680/7045]	Time 0.212 (0.275)	Data 0.159 (0.209)	Loss 4.9171 (5.0054)	Prec@1 3.516 (4.710)	Prec@5 16.406 (16.055)
Epoch: [17][1690/7045]	Time 0.308 (0.275)	Data 0.255 (0.209)	Loss 5.0166 (5.0052)	Prec@1 2.344 (4.710)	Prec@5 16.016 (16.060)
Epoch: [17][1700/7045]	Time 0.104 (0.275)	Data 0.052 (0.209)	Loss 4.8578 (5.0049)	Prec@1 5.469 (4.714)	Prec@5 20.312 (16.063)
Epoch: [17][1710/7045]	Time 0.414 (0.275)	Data 0.362 (0.209)	Loss 4.9715 (5.0049)	Prec@1 5.078 (4.714)	Prec@5 17.578 (16.059)
Epoch: [17][1720/7045]	Time 0.101 (0.275)	Data 0.006 (0.209)	Loss 5.0433 (5.0051)	Prec@1 5.469 (4.713)	Prec@5 15.625 (16.058)
Epoch: [17][1730/7045]	Time 0.230 (0.275)	Data 0.179 (0.209)	Loss 4.9654 (5.0052)	Prec@1 3.906 (4.713)	Prec@5 19.531 (16.056)
Epoch: [17][1740/7045]	Time 0.102 (0.275)	Data 0.001 (0.209)	Loss 5.0020 (5.0053)	Prec@1 5.078 (4.711)	Prec@5 16.406 (16.055)
Epoch: [17][1750/7045]	Time 0.262 (0.275)	Data 0.211 (0.209)	Loss 4.8589 (5.0053)	Prec@1 5.469 (4.712)	Prec@5 21.094 (16.055)
Epoch: [17][1760/7045]	Time 0.102 (0.274)	Data 0.001 (0.208)	Loss 5.0185 (5.0056)	Prec@1 4.297 (4.709)	Prec@5 16.797 (16.050)
Epoch: [17][1770/7045]	Time 0.167 (0.275)	Data 0.115 (0.209)	Loss 5.0031 (5.0053)	Prec@1 6.641 (4.712)	Prec@5 17.578 (16.057)
Epoch: [17][1780/7045]	Time 0.247 (0.275)	Data 0.197 (0.209)	Loss 5.0989 (5.0055)	Prec@1 4.297 (4.712)	Prec@5 14.453 (16.054)
Epoch: [17][1790/7045]	Time 0.103 (0.275)	Data 0.002 (0.209)	Loss 4.9873 (5.0058)	Prec@1 5.859 (4.713)	Prec@5 14.844 (16.054)
Epoch: [17][1800/7045]	Time 0.102 (0.275)	Data 0.001 (0.209)	Loss 5.0586 (5.0060)	Prec@1 3.125 (4.710)	Prec@5 15.234 (16.054)
Epoch: [17][1810/7045]	Time 0.107 (0.275)	Data 0.001 (0.209)	Loss 5.0158 (5.0062)	Prec@1 4.297 (4.705)	Prec@5 15.625 (16.046)
Epoch: [17][1820/7045]	Time 0.102 (0.274)	Data 0.001 (0.208)	Loss 4.8277 (5.0060)	Prec@1 7.031 (4.710)	Prec@5 19.531 (16.053)
Epoch: [17][1830/7045]	Time 0.107 (0.274)	Data 0.001 (0.208)	Loss 5.2038 (5.0060)	Prec@1 3.516 (4.710)	Prec@5 13.281 (16.058)
Epoch: [17][1840/7045]	Time 0.101 (0.274)	Data 0.013 (0.208)	Loss 5.0031 (5.0056)	Prec@1 3.516 (4.707)	Prec@5 17.188 (16.063)
Epoch: [17][1850/7045]	Time 0.437 (0.275)	Data 0.385 (0.209)	Loss 4.9164 (5.0056)	Prec@1 5.078 (4.707)	Prec@5 18.359 (16.066)
Epoch: [17][1860/7045]	Time 0.108 (0.275)	Data 0.001 (0.209)	Loss 4.7939 (5.0055)	Prec@1 4.688 (4.707)	Prec@5 20.312 (16.067)
Epoch: [17][1870/7045]	Time 0.652 (0.275)	Data 0.601 (0.209)	Loss 4.9905 (5.0055)	Prec@1 3.516 (4.703)	Prec@5 14.062 (16.065)
Epoch: [17][1880/7045]	Time 0.280 (0.274)	Data 0.227 (0.208)	Loss 5.0307 (5.0053)	Prec@1 3.906 (4.706)	Prec@5 18.750 (16.069)
Epoch: [17][1890/7045]	Time 0.496 (0.274)	Data 0.445 (0.208)	Loss 4.9523 (5.0053)	Prec@1 3.516 (4.706)	Prec@5 17.188 (16.072)
Epoch: [17][1900/7045]	Time 0.102 (0.275)	Data 0.011 (0.209)	Loss 4.8219 (5.0050)	Prec@1 5.859 (4.712)	Prec@5 19.922 (16.083)
Epoch: [17][1910/7045]	Time 0.355 (0.275)	Data 0.303 (0.209)	Loss 4.8896 (5.0046)	Prec@1 9.766 (4.714)	Prec@5 20.703 (16.091)
Epoch: [17][1920/7045]	Time 0.106 (0.274)	Data 0.054 (0.209)	Loss 4.8611 (5.0042)	Prec@1 8.594 (4.717)	Prec@5 16.797 (16.096)
Epoch: [17][1930/7045]	Time 0.354 (0.274)	Data 0.303 (0.209)	Loss 5.0527 (5.0038)	Prec@1 4.297 (4.719)	Prec@5 16.016 (16.101)
Epoch: [17][1940/7045]	Time 0.102 (0.274)	Data 0.015 (0.208)	Loss 5.0654 (5.0038)	Prec@1 3.516 (4.720)	Prec@5 15.625 (16.101)
Epoch: [17][1950/7045]	Time 0.110 (0.274)	Data 0.044 (0.208)	Loss 5.0222 (5.0037)	Prec@1 3.516 (4.719)	Prec@5 14.453 (16.100)
Epoch: [17][1960/7045]	Time 0.138 (0.274)	Data 0.086 (0.208)	Loss 4.8411 (5.0031)	Prec@1 7.812 (4.720)	Prec@5 20.703 (16.108)
Epoch: [17][1970/7045]	Time 0.102 (0.274)	Data 0.007 (0.208)	Loss 4.9611 (5.0026)	Prec@1 3.906 (4.722)	Prec@5 13.281 (16.111)
Epoch: [17][1980/7045]	Time 0.102 (0.275)	Data 0.049 (0.209)	Loss 4.8305 (5.0020)	Prec@1 7.812 (4.724)	Prec@5 20.703 (16.122)
Epoch: [17][1990/7045]	Time 0.107 (0.275)	Data 0.006 (0.209)	Loss 4.9940 (5.0021)	Prec@1 5.859 (4.726)	Prec@5 17.578 (16.120)
Epoch: [17][2000/7045]	Time 0.109 (0.274)	Data 0.055 (0.209)	Loss 4.9485 (5.0022)	Prec@1 4.688 (4.727)	Prec@5 15.625 (16.118)
Epoch: [17][2010/7045]	Time 0.132 (0.274)	Data 0.081 (0.209)	Loss 4.8934 (5.0020)	Prec@1 7.031 (4.729)	Prec@5 21.875 (16.122)
Epoch: [17][2020/7045]	Time 0.426 (0.274)	Data 0.375 (0.208)	Loss 4.8805 (5.0017)	Prec@1 5.469 (4.733)	Prec@5 15.625 (16.130)
Epoch: [17][2030/7045]	Time 0.131 (0.274)	Data 0.079 (0.209)	Loss 5.0527 (5.0016)	Prec@1 1.953 (4.729)	Prec@5 10.156 (16.130)
Epoch: [17][2040/7045]	Time 0.695 (0.274)	Data 0.644 (0.209)	Loss 5.0466 (5.0014)	Prec@1 3.516 (4.730)	Prec@5 13.672 (16.133)
Epoch: [17][2050/7045]	Time 0.173 (0.274)	Data 0.122 (0.208)	Loss 4.8678 (5.0014)	Prec@1 7.422 (4.733)	Prec@5 19.922 (16.131)
Epoch: [17][2060/7045]	Time 0.532 (0.274)	Data 0.468 (0.208)	Loss 5.0579 (5.0015)	Prec@1 3.906 (4.730)	Prec@5 16.016 (16.123)
Epoch: [17][2070/7045]	Time 0.126 (0.275)	Data 0.073 (0.209)	Loss 4.9585 (5.0013)	Prec@1 4.297 (4.731)	Prec@5 16.016 (16.127)
Epoch: [17][2080/7045]	Time 0.731 (0.275)	Data 0.679 (0.209)	Loss 5.0624 (5.0012)	Prec@1 3.516 (4.731)	Prec@5 16.797 (16.131)
Epoch: [17][2090/7045]	Time 0.101 (0.275)	Data 0.001 (0.209)	Loss 4.8827 (5.0011)	Prec@1 8.594 (4.734)	Prec@5 22.656 (16.137)
Epoch: [17][2100/7045]	Time 0.646 (0.275)	Data 0.587 (0.209)	Loss 5.0301 (5.0011)	Prec@1 3.906 (4.735)	Prec@5 17.969 (16.140)
Epoch: [17][2110/7045]	Time 0.103 (0.274)	Data 0.001 (0.209)	Loss 5.0696 (5.0011)	Prec@1 5.078 (4.733)	Prec@5 12.891 (16.135)
Epoch: [17][2120/7045]	Time 0.555 (0.274)	Data 0.504 (0.209)	Loss 4.9488 (5.0011)	Prec@1 4.688 (4.730)	Prec@5 17.578 (16.127)
Epoch: [17][2130/7045]	Time 0.103 (0.274)	Data 0.010 (0.208)	Loss 4.9922 (5.0010)	Prec@1 5.469 (4.729)	Prec@5 15.234 (16.128)
Epoch: [17][2140/7045]	Time 0.511 (0.275)	Data 0.460 (0.209)	Loss 5.0307 (5.0008)	Prec@1 5.078 (4.730)	Prec@5 16.406 (16.133)
Epoch: [17][2150/7045]	Time 0.224 (0.275)	Data 0.167 (0.209)	Loss 4.9386 (5.0007)	Prec@1 5.469 (4.729)	Prec@5 17.188 (16.133)
Epoch: [17][2160/7045]	Time 2.354 (0.275)	Data 2.302 (0.210)	Loss 4.8998 (5.0009)	Prec@1 5.078 (4.727)	Prec@5 16.016 (16.127)
Epoch: [17][2170/7045]	Time 0.418 (0.275)	Data 0.367 (0.210)	Loss 5.0327 (5.0011)	Prec@1 6.250 (4.725)	Prec@5 16.797 (16.127)
Epoch: [17][2180/7045]	Time 0.101 (0.275)	Data 0.044 (0.210)	Loss 4.8867 (5.0009)	Prec@1 7.422 (4.727)	Prec@5 18.750 (16.127)
Epoch: [17][2190/7045]	Time 0.614 (0.275)	Data 0.556 (0.210)	Loss 4.9337 (5.0011)	Prec@1 7.812 (4.728)	Prec@5 20.703 (16.129)
Epoch: [17][2200/7045]	Time 0.110 (0.275)	Data 0.004 (0.209)	Loss 4.9968 (5.0012)	Prec@1 6.250 (4.728)	Prec@5 20.703 (16.125)
Epoch: [17][2210/7045]	Time 0.506 (0.275)	Data 0.454 (0.209)	Loss 4.9240 (5.0012)	Prec@1 3.516 (4.724)	Prec@5 19.531 (16.122)
Epoch: [17][2220/7045]	Time 0.101 (0.275)	Data 0.017 (0.209)	Loss 5.0110 (5.0014)	Prec@1 4.297 (4.722)	Prec@5 16.797 (16.119)
Epoch: [17][2230/7045]	Time 0.448 (0.275)	Data 0.397 (0.209)	Loss 5.0939 (5.0016)	Prec@1 3.516 (4.718)	Prec@5 12.109 (16.112)
Epoch: [17][2240/7045]	Time 0.101 (0.275)	Data 0.001 (0.209)	Loss 5.1263 (5.0016)	Prec@1 2.734 (4.717)	Prec@5 11.719 (16.109)
Epoch: [17][2250/7045]	Time 0.596 (0.275)	Data 0.545 (0.209)	Loss 5.0322 (5.0017)	Prec@1 6.250 (4.714)	Prec@5 14.844 (16.102)
Epoch: [17][2260/7045]	Time 0.376 (0.275)	Data 0.325 (0.209)	Loss 4.9255 (5.0017)	Prec@1 4.297 (4.714)	Prec@5 17.578 (16.103)
Epoch: [17][2270/7045]	Time 0.225 (0.275)	Data 0.173 (0.209)	Loss 4.9887 (5.0015)	Prec@1 3.125 (4.715)	Prec@5 14.453 (16.109)
Epoch: [17][2280/7045]	Time 0.125 (0.275)	Data 0.073 (0.209)	Loss 4.9276 (5.0012)	Prec@1 5.078 (4.716)	Prec@5 16.797 (16.113)
Epoch: [17][2290/7045]	Time 0.268 (0.275)	Data 0.216 (0.209)	Loss 4.9232 (5.0009)	Prec@1 5.078 (4.717)	Prec@5 17.188 (16.116)
Epoch: [17][2300/7045]	Time 0.116 (0.275)	Data 0.064 (0.210)	Loss 5.0444 (5.0008)	Prec@1 6.641 (4.718)	Prec@5 15.625 (16.113)
Epoch: [17][2310/7045]	Time 0.112 (0.275)	Data 0.001 (0.210)	Loss 4.9550 (5.0008)	Prec@1 3.516 (4.717)	Prec@5 13.281 (16.110)
Epoch: [17][2320/7045]	Time 0.100 (0.275)	Data 0.001 (0.210)	Loss 4.8814 (5.0005)	Prec@1 4.688 (4.721)	Prec@5 21.484 (16.116)
Epoch: [17][2330/7045]	Time 0.123 (0.275)	Data 0.071 (0.210)	Loss 5.0569 (5.0003)	Prec@1 2.344 (4.724)	Prec@5 12.109 (16.121)
Epoch: [17][2340/7045]	Time 0.101 (0.275)	Data 0.001 (0.209)	Loss 5.0082 (5.0001)	Prec@1 4.688 (4.724)	Prec@5 14.844 (16.121)
Epoch: [17][2350/7045]	Time 0.120 (0.275)	Data 0.059 (0.209)	Loss 5.0971 (5.0002)	Prec@1 4.297 (4.725)	Prec@5 12.891 (16.118)
Epoch: [17][2360/7045]	Time 0.313 (0.275)	Data 0.261 (0.209)	Loss 4.9607 (5.0000)	Prec@1 3.906 (4.723)	Prec@5 16.406 (16.118)
Epoch: [17][2370/7045]	Time 0.445 (0.275)	Data 0.394 (0.210)	Loss 5.1539 (5.0001)	Prec@1 3.516 (4.722)	Prec@5 15.625 (16.120)
Epoch: [17][2380/7045]	Time 0.341 (0.275)	Data 0.281 (0.210)	Loss 4.9983 (5.0004)	Prec@1 4.688 (4.721)	Prec@5 17.578 (16.117)
Epoch: [17][2390/7045]	Time 0.377 (0.275)	Data 0.326 (0.210)	Loss 5.0805 (5.0007)	Prec@1 4.688 (4.720)	Prec@5 14.453 (16.113)
Epoch: [17][2400/7045]	Time 0.101 (0.275)	Data 0.017 (0.210)	Loss 4.9175 (5.0007)	Prec@1 4.297 (4.723)	Prec@5 16.797 (16.112)
Epoch: [17][2410/7045]	Time 0.337 (0.275)	Data 0.287 (0.210)	Loss 5.0614 (5.0005)	Prec@1 5.469 (4.723)	Prec@5 15.625 (16.117)
Epoch: [17][2420/7045]	Time 0.265 (0.275)	Data 0.214 (0.210)	Loss 4.9351 (5.0004)	Prec@1 5.469 (4.723)	Prec@5 17.188 (16.119)
Epoch: [17][2430/7045]	Time 0.276 (0.275)	Data 0.226 (0.210)	Loss 4.8993 (5.0002)	Prec@1 5.469 (4.726)	Prec@5 19.922 (16.126)
Epoch: [17][2440/7045]	Time 0.346 (0.275)	Data 0.294 (0.209)	Loss 4.9793 (5.0002)	Prec@1 4.297 (4.727)	Prec@5 16.016 (16.127)
Epoch: [17][2450/7045]	Time 0.529 (0.275)	Data 0.477 (0.210)	Loss 5.0416 (5.0001)	Prec@1 5.469 (4.724)	Prec@5 14.844 (16.126)
Epoch: [17][2460/7045]	Time 0.236 (0.275)	Data 0.178 (0.210)	Loss 4.9467 (4.9999)	Prec@1 5.469 (4.724)	Prec@5 15.625 (16.127)
Epoch: [17][2470/7045]	Time 0.148 (0.275)	Data 0.096 (0.210)	Loss 4.9184 (4.9997)	Prec@1 5.859 (4.724)	Prec@5 18.750 (16.135)
Epoch: [17][2480/7045]	Time 0.397 (0.275)	Data 0.346 (0.210)	Loss 4.9526 (4.9996)	Prec@1 4.688 (4.722)	Prec@5 14.062 (16.135)
Epoch: [17][2490/7045]	Time 0.102 (0.275)	Data 0.019 (0.210)	Loss 5.0952 (4.9994)	Prec@1 4.297 (4.724)	Prec@5 11.328 (16.136)
Epoch: [17][2500/7045]	Time 0.293 (0.274)	Data 0.243 (0.209)	Loss 5.0240 (4.9995)	Prec@1 5.859 (4.722)	Prec@5 14.453 (16.134)
Epoch: [17][2510/7045]	Time 0.295 (0.274)	Data 0.244 (0.209)	Loss 5.0021 (4.9997)	Prec@1 4.688 (4.720)	Prec@5 15.234 (16.131)
Epoch: [17][2520/7045]	Time 0.512 (0.275)	Data 0.460 (0.210)	Loss 5.1122 (5.0002)	Prec@1 3.516 (4.716)	Prec@5 13.281 (16.121)
Epoch: [17][2530/7045]	Time 0.312 (0.275)	Data 0.260 (0.210)	Loss 5.0711 (5.0006)	Prec@1 3.516 (4.716)	Prec@5 13.672 (16.116)
Epoch: [17][2540/7045]	Time 0.694 (0.275)	Data 0.641 (0.210)	Loss 4.9718 (5.0007)	Prec@1 5.469 (4.713)	Prec@5 16.406 (16.114)
Epoch: [17][2550/7045]	Time 0.111 (0.275)	Data 0.061 (0.210)	Loss 4.9412 (5.0007)	Prec@1 6.641 (4.712)	Prec@5 18.359 (16.117)
Epoch: [17][2560/7045]	Time 0.356 (0.275)	Data 0.306 (0.210)	Loss 4.8566 (5.0006)	Prec@1 5.469 (4.713)	Prec@5 20.312 (16.119)
Epoch: [17][2570/7045]	Time 0.267 (0.275)	Data 0.213 (0.210)	Loss 5.0167 (5.0006)	Prec@1 4.297 (4.713)	Prec@5 14.453 (16.121)
Epoch: [17][2580/7045]	Time 0.234 (0.275)	Data 0.182 (0.210)	Loss 4.8510 (5.0005)	Prec@1 7.422 (4.715)	Prec@5 20.703 (16.125)
Epoch: [17][2590/7045]	Time 0.225 (0.275)	Data 0.173 (0.210)	Loss 4.8299 (5.0003)	Prec@1 5.078 (4.715)	Prec@5 17.578 (16.126)
Epoch: [17][2600/7045]	Time 0.101 (0.275)	Data 0.001 (0.210)	Loss 4.9887 (5.0001)	Prec@1 5.859 (4.716)	Prec@5 19.922 (16.132)
Epoch: [17][2610/7045]	Time 0.102 (0.275)	Data 0.001 (0.210)	Loss 4.9112 (4.9999)	Prec@1 6.641 (4.719)	Prec@5 17.969 (16.136)
Epoch: [17][2620/7045]	Time 0.100 (0.275)	Data 0.047 (0.210)	Loss 4.9856 (4.9999)	Prec@1 2.344 (4.720)	Prec@5 14.062 (16.138)
Epoch: [17][2630/7045]	Time 0.209 (0.275)	Data 0.158 (0.210)	Loss 4.9661 (4.9999)	Prec@1 3.516 (4.721)	Prec@5 16.797 (16.140)
Epoch: [17][2640/7045]	Time 0.222 (0.275)	Data 0.171 (0.210)	Loss 4.9179 (4.9998)	Prec@1 3.906 (4.723)	Prec@5 19.531 (16.143)
Epoch: [17][2650/7045]	Time 0.385 (0.275)	Data 0.334 (0.210)	Loss 4.9076 (4.9998)	Prec@1 6.250 (4.723)	Prec@5 18.750 (16.145)
Epoch: [17][2660/7045]	Time 0.141 (0.274)	Data 0.090 (0.209)	Loss 5.0382 (4.9998)	Prec@1 3.125 (4.722)	Prec@5 14.844 (16.145)
Epoch: [17][2670/7045]	Time 0.656 (0.275)	Data 0.604 (0.210)	Loss 5.0190 (4.9999)	Prec@1 4.688 (4.722)	Prec@5 15.234 (16.146)
Epoch: [17][2680/7045]	Time 0.100 (0.275)	Data 0.001 (0.210)	Loss 5.2497 (5.0001)	Prec@1 3.906 (4.720)	Prec@5 12.109 (16.139)
Epoch: [17][2690/7045]	Time 0.464 (0.275)	Data 0.412 (0.210)	Loss 5.0353 (5.0005)	Prec@1 3.906 (4.717)	Prec@5 17.578 (16.132)
Epoch: [17][2700/7045]	Time 0.104 (0.275)	Data 0.051 (0.210)	Loss 5.0161 (5.0007)	Prec@1 2.344 (4.716)	Prec@5 14.844 (16.127)
Epoch: [17][2710/7045]	Time 0.385 (0.275)	Data 0.334 (0.210)	Loss 5.1448 (5.0007)	Prec@1 3.516 (4.718)	Prec@5 11.328 (16.127)
Epoch: [17][2720/7045]	Time 0.210 (0.275)	Data 0.159 (0.210)	Loss 4.9515 (5.0006)	Prec@1 3.516 (4.721)	Prec@5 16.016 (16.130)
Epoch: [17][2730/7045]	Time 0.467 (0.275)	Data 0.415 (0.210)	Loss 5.0518 (5.0006)	Prec@1 2.344 (4.723)	Prec@5 14.453 (16.126)
Epoch: [17][2740/7045]	Time 0.510 (0.275)	Data 0.458 (0.210)	Loss 5.2391 (5.0007)	Prec@1 2.344 (4.722)	Prec@5 7.031 (16.123)
Epoch: [17][2750/7045]	Time 0.110 (0.275)	Data 0.001 (0.210)	Loss 5.1107 (5.0009)	Prec@1 3.125 (4.720)	Prec@5 11.328 (16.115)
Epoch: [17][2760/7045]	Time 0.499 (0.275)	Data 0.447 (0.210)	Loss 4.8724 (5.0010)	Prec@1 3.906 (4.718)	Prec@5 19.141 (16.114)
Epoch: [17][2770/7045]	Time 0.349 (0.275)	Data 0.298 (0.210)	Loss 4.9040 (5.0011)	Prec@1 4.688 (4.718)	Prec@5 17.969 (16.114)
Epoch: [17][2780/7045]	Time 0.101 (0.275)	Data 0.022 (0.210)	Loss 5.0238 (5.0010)	Prec@1 3.516 (4.718)	Prec@5 14.453 (16.113)
Epoch: [17][2790/7045]	Time 0.420 (0.275)	Data 0.369 (0.210)	Loss 5.0737 (5.0010)	Prec@1 5.469 (4.720)	Prec@5 17.188 (16.118)
Epoch: [17][2800/7045]	Time 0.343 (0.275)	Data 0.285 (0.210)	Loss 4.9156 (5.0008)	Prec@1 4.688 (4.721)	Prec@5 17.578 (16.121)
Epoch: [17][2810/7045]	Time 0.286 (0.275)	Data 0.236 (0.210)	Loss 5.0960 (5.0007)	Prec@1 2.734 (4.722)	Prec@5 12.500 (16.122)
Epoch: [17][2820/7045]	Time 0.355 (0.275)	Data 0.304 (0.210)	Loss 4.8547 (5.0008)	Prec@1 7.422 (4.722)	Prec@5 19.141 (16.121)
Epoch: [17][2830/7045]	Time 0.103 (0.275)	Data 0.001 (0.210)	Loss 4.9316 (5.0007)	Prec@1 5.078 (4.721)	Prec@5 18.750 (16.123)
Epoch: [17][2840/7045]	Time 0.840 (0.275)	Data 0.790 (0.210)	Loss 4.9237 (5.0008)	Prec@1 3.906 (4.722)	Prec@5 16.406 (16.119)
Epoch: [17][2850/7045]	Time 0.160 (0.275)	Data 0.109 (0.210)	Loss 4.9190 (5.0007)	Prec@1 4.688 (4.722)	Prec@5 20.703 (16.122)
Epoch: [17][2860/7045]	Time 2.605 (0.276)	Data 2.554 (0.211)	Loss 4.9360 (5.0007)	Prec@1 4.688 (4.720)	Prec@5 16.016 (16.122)
Epoch: [17][2870/7045]	Time 0.104 (0.275)	Data 0.051 (0.210)	Loss 5.0537 (5.0007)	Prec@1 5.078 (4.721)	Prec@5 16.016 (16.125)
Epoch: [17][2880/7045]	Time 0.539 (0.275)	Data 0.488 (0.210)	Loss 5.0081 (5.0006)	Prec@1 5.469 (4.721)	Prec@5 17.578 (16.124)
Epoch: [17][2890/7045]	Time 0.141 (0.275)	Data 0.089 (0.210)	Loss 4.9342 (5.0005)	Prec@1 3.906 (4.722)	Prec@5 17.969 (16.127)
Epoch: [17][2900/7045]	Time 0.615 (0.275)	Data 0.562 (0.210)	Loss 4.8910 (5.0003)	Prec@1 8.203 (4.726)	Prec@5 19.141 (16.132)
Epoch: [17][2910/7045]	Time 0.162 (0.275)	Data 0.110 (0.210)	Loss 5.0288 (5.0003)	Prec@1 3.516 (4.726)	Prec@5 11.328 (16.130)
Epoch: [17][2920/7045]	Time 0.429 (0.275)	Data 0.379 (0.210)	Loss 5.0638 (5.0003)	Prec@1 6.250 (4.727)	Prec@5 13.672 (16.129)
Epoch: [17][2930/7045]	Time 0.301 (0.275)	Data 0.250 (0.210)	Loss 5.1716 (5.0006)	Prec@1 5.078 (4.724)	Prec@5 13.672 (16.125)
Epoch: [17][2940/7045]	Time 0.103 (0.275)	Data 0.002 (0.210)	Loss 5.0074 (5.0008)	Prec@1 2.734 (4.722)	Prec@5 16.016 (16.121)
Epoch: [17][2950/7045]	Time 0.101 (0.275)	Data 0.001 (0.210)	Loss 5.0877 (5.0010)	Prec@1 4.297 (4.720)	Prec@5 15.234 (16.121)
Epoch: [17][2960/7045]	Time 0.332 (0.275)	Data 0.281 (0.210)	Loss 4.9845 (5.0011)	Prec@1 7.031 (4.721)	Prec@5 21.875 (16.123)
Epoch: [17][2970/7045]	Time 0.124 (0.275)	Data 0.073 (0.210)	Loss 4.9364 (5.0011)	Prec@1 5.859 (4.722)	Prec@5 17.578 (16.125)
Epoch: [17][2980/7045]	Time 0.494 (0.275)	Data 0.443 (0.210)	Loss 4.9409 (5.0011)	Prec@1 5.078 (4.722)	Prec@5 18.359 (16.126)
Epoch: [17][2990/7045]	Time 0.109 (0.275)	Data 0.001 (0.210)	Loss 4.9533 (5.0009)	Prec@1 4.688 (4.726)	Prec@5 16.797 (16.132)
Epoch: [17][3000/7045]	Time 0.163 (0.275)	Data 0.111 (0.210)	Loss 5.0163 (5.0008)	Prec@1 3.906 (4.726)	Prec@5 15.625 (16.132)
Epoch: [17][3010/7045]	Time 0.115 (0.275)	Data 0.062 (0.210)	Loss 4.9055 (5.0007)	Prec@1 3.516 (4.726)	Prec@5 18.750 (16.133)
Epoch: [17][3020/7045]	Time 0.102 (0.275)	Data 0.050 (0.210)	Loss 5.0286 (5.0007)	Prec@1 5.469 (4.726)	Prec@5 16.797 (16.134)
Epoch: [17][3030/7045]	Time 0.135 (0.275)	Data 0.082 (0.210)	Loss 5.0249 (5.0008)	Prec@1 3.906 (4.723)	Prec@5 15.625 (16.132)
Epoch: [17][3040/7045]	Time 0.101 (0.275)	Data 0.007 (0.210)	Loss 4.9209 (5.0007)	Prec@1 3.125 (4.723)	Prec@5 16.016 (16.135)
Epoch: [17][3050/7045]	Time 0.383 (0.275)	Data 0.332 (0.210)	Loss 4.9843 (5.0006)	Prec@1 3.125 (4.725)	Prec@5 17.188 (16.139)
Epoch: [17][3060/7045]	Time 0.272 (0.275)	Data 0.220 (0.210)	Loss 5.0937 (5.0008)	Prec@1 4.297 (4.724)	Prec@5 11.719 (16.135)
Epoch: [17][3070/7045]	Time 0.370 (0.275)	Data 0.312 (0.210)	Loss 5.1018 (5.0010)	Prec@1 5.078 (4.724)	Prec@5 15.234 (16.130)
Epoch: [17][3080/7045]	Time 0.348 (0.276)	Data 0.296 (0.211)	Loss 4.9281 (5.0012)	Prec@1 4.688 (4.722)	Prec@5 14.062 (16.128)
Epoch: [17][3090/7045]	Time 0.385 (0.275)	Data 0.331 (0.211)	Loss 5.0277 (5.0013)	Prec@1 2.344 (4.721)	Prec@5 15.625 (16.123)
Epoch: [17][3100/7045]	Time 0.360 (0.275)	Data 0.309 (0.211)	Loss 5.1396 (5.0015)	Prec@1 4.688 (4.721)	Prec@5 14.062 (16.124)
Epoch: [17][3110/7045]	Time 0.396 (0.275)	Data 0.344 (0.211)	Loss 4.9899 (5.0016)	Prec@1 4.688 (4.722)	Prec@5 14.453 (16.124)
Epoch: [17][3120/7045]	Time 0.455 (0.275)	Data 0.403 (0.211)	Loss 5.0028 (5.0019)	Prec@1 4.297 (4.722)	Prec@5 14.453 (16.119)
Epoch: [17][3130/7045]	Time 1.439 (0.275)	Data 1.387 (0.211)	Loss 5.1776 (5.0022)	Prec@1 5.078 (4.722)	Prec@5 13.281 (16.118)
Epoch: [17][3140/7045]	Time 0.408 (0.275)	Data 0.357 (0.211)	Loss 5.0641 (5.0024)	Prec@1 3.906 (4.721)	Prec@5 13.672 (16.117)
Epoch: [17][3150/7045]	Time 0.399 (0.275)	Data 0.348 (0.211)	Loss 4.9371 (5.0024)	Prec@1 5.469 (4.721)	Prec@5 16.406 (16.117)
Epoch: [17][3160/7045]	Time 0.173 (0.275)	Data 0.123 (0.211)	Loss 4.9991 (5.0023)	Prec@1 3.906 (4.720)	Prec@5 14.844 (16.118)
Epoch: [17][3170/7045]	Time 0.322 (0.275)	Data 0.271 (0.210)	Loss 4.9853 (5.0023)	Prec@1 3.906 (4.721)	Prec@5 17.969 (16.118)
Epoch: [17][3180/7045]	Time 0.208 (0.275)	Data 0.157 (0.210)	Loss 5.0797 (5.0022)	Prec@1 3.516 (4.721)	Prec@5 11.719 (16.120)
Epoch: [17][3190/7045]	Time 0.206 (0.275)	Data 0.156 (0.210)	Loss 5.0155 (5.0020)	Prec@1 4.297 (4.724)	Prec@5 19.141 (16.125)
Epoch: [17][3200/7045]	Time 0.102 (0.275)	Data 0.009 (0.210)	Loss 4.9983 (5.0022)	Prec@1 4.297 (4.723)	Prec@5 16.406 (16.125)
Epoch: [17][3210/7045]	Time 0.284 (0.275)	Data 0.225 (0.210)	Loss 4.9888 (5.0022)	Prec@1 7.422 (4.726)	Prec@5 17.969 (16.124)
Epoch: [17][3220/7045]	Time 0.355 (0.275)	Data 0.303 (0.210)	Loss 5.0502 (5.0023)	Prec@1 2.344 (4.725)	Prec@5 16.016 (16.124)
Epoch: [17][3230/7045]	Time 0.329 (0.275)	Data 0.277 (0.211)	Loss 5.0074 (5.0024)	Prec@1 4.297 (4.724)	Prec@5 19.531 (16.120)
Epoch: [17][3240/7045]	Time 0.514 (0.275)	Data 0.462 (0.211)	Loss 5.1289 (5.0024)	Prec@1 2.734 (4.725)	Prec@5 15.234 (16.122)
Epoch: [17][3250/7045]	Time 0.336 (0.275)	Data 0.286 (0.211)	Loss 5.1199 (5.0023)	Prec@1 4.297 (4.728)	Prec@5 16.016 (16.122)
Epoch: [17][3260/7045]	Time 0.192 (0.275)	Data 0.141 (0.210)	Loss 4.9766 (5.0023)	Prec@1 4.297 (4.729)	Prec@5 16.797 (16.124)
Epoch: [17][3270/7045]	Time 0.496 (0.275)	Data 0.438 (0.210)	Loss 5.1467 (5.0023)	Prec@1 3.125 (4.729)	Prec@5 15.234 (16.127)
Epoch: [17][3280/7045]	Time 0.144 (0.275)	Data 0.093 (0.210)	Loss 4.9644 (5.0022)	Prec@1 3.125 (4.730)	Prec@5 17.578 (16.131)
Epoch: [17][3290/7045]	Time 0.416 (0.275)	Data 0.364 (0.210)	Loss 5.0543 (5.0022)	Prec@1 4.297 (4.730)	Prec@5 15.625 (16.131)
Epoch: [17][3300/7045]	Time 0.401 (0.275)	Data 0.349 (0.211)	Loss 5.0257 (5.0022)	Prec@1 4.688 (4.730)	Prec@5 16.016 (16.132)
Epoch: [17][3310/7045]	Time 0.106 (0.275)	Data 0.053 (0.211)	Loss 4.9023 (5.0020)	Prec@1 4.688 (4.732)	Prec@5 17.969 (16.135)
Epoch: [17][3320/7045]	Time 0.381 (0.275)	Data 0.332 (0.211)	Loss 5.0124 (5.0021)	Prec@1 4.688 (4.731)	Prec@5 17.188 (16.135)
Epoch: [17][3330/7045]	Time 0.105 (0.275)	Data 0.052 (0.211)	Loss 5.1614 (5.0021)	Prec@1 4.297 (4.730)	Prec@5 14.453 (16.134)
Epoch: [17][3340/7045]	Time 0.642 (0.275)	Data 0.591 (0.211)	Loss 5.0003 (5.0020)	Prec@1 6.250 (4.730)	Prec@5 16.406 (16.134)
Epoch: [17][3350/7045]	Time 0.102 (0.275)	Data 0.001 (0.210)	Loss 4.9397 (5.0020)	Prec@1 3.906 (4.730)	Prec@5 12.891 (16.133)
Epoch: [17][3360/7045]	Time 0.542 (0.275)	Data 0.486 (0.211)	Loss 5.0612 (5.0019)	Prec@1 3.906 (4.731)	Prec@5 14.062 (16.137)
Epoch: [17][3370/7045]	Time 0.101 (0.275)	Data 0.001 (0.211)	Loss 4.9274 (5.0016)	Prec@1 4.688 (4.733)	Prec@5 16.016 (16.141)
Epoch: [17][3380/7045]	Time 0.666 (0.275)	Data 0.614 (0.211)	Loss 5.1282 (5.0018)	Prec@1 3.125 (4.735)	Prec@5 15.234 (16.139)
Epoch: [17][3390/7045]	Time 0.129 (0.275)	Data 0.071 (0.211)	Loss 4.8466 (5.0018)	Prec@1 5.859 (4.735)	Prec@5 19.531 (16.140)
Epoch: [17][3400/7045]	Time 0.555 (0.275)	Data 0.494 (0.210)	Loss 4.9768 (5.0019)	Prec@1 3.125 (4.734)	Prec@5 16.406 (16.139)
Epoch: [17][3410/7045]	Time 0.438 (0.275)	Data 0.387 (0.211)	Loss 5.1099 (5.0022)	Prec@1 5.078 (4.731)	Prec@5 14.062 (16.138)
Epoch: [17][3420/7045]	Time 0.270 (0.275)	Data 0.217 (0.211)	Loss 5.0957 (5.0023)	Prec@1 4.297 (4.730)	Prec@5 13.281 (16.137)
Epoch: [17][3430/7045]	Time 0.283 (0.275)	Data 0.230 (0.210)	Loss 5.0606 (5.0024)	Prec@1 3.125 (4.729)	Prec@5 14.453 (16.136)
Epoch: [17][3440/7045]	Time 0.101 (0.275)	Data 0.001 (0.210)	Loss 5.1503 (5.0024)	Prec@1 4.297 (4.729)	Prec@5 14.844 (16.136)
Epoch: [17][3450/7045]	Time 0.157 (0.275)	Data 0.106 (0.210)	Loss 4.9065 (5.0025)	Prec@1 6.641 (4.729)	Prec@5 16.406 (16.131)
Epoch: [17][3460/7045]	Time 0.391 (0.275)	Data 0.340 (0.210)	Loss 5.1016 (5.0024)	Prec@1 3.516 (4.731)	Prec@5 14.453 (16.133)
Epoch: [17][3470/7045]	Time 0.102 (0.275)	Data 0.001 (0.210)	Loss 5.1353 (5.0024)	Prec@1 3.906 (4.730)	Prec@5 12.891 (16.132)
Epoch: [17][3480/7045]	Time 0.101 (0.275)	Data 0.048 (0.210)	Loss 5.0846 (5.0024)	Prec@1 4.688 (4.729)	Prec@5 15.234 (16.131)
Epoch: [17][3490/7045]	Time 0.165 (0.275)	Data 0.114 (0.210)	Loss 5.0366 (5.0025)	Prec@1 5.859 (4.729)	Prec@5 13.281 (16.127)
Epoch: [17][3500/7045]	Time 0.131 (0.275)	Data 0.079 (0.210)	Loss 5.0370 (5.0028)	Prec@1 4.297 (4.729)	Prec@5 16.016 (16.122)
Epoch: [17][3510/7045]	Time 0.278 (0.275)	Data 0.227 (0.210)	Loss 5.0402 (5.0029)	Prec@1 3.906 (4.729)	Prec@5 11.719 (16.114)
Epoch: [17][3520/7045]	Time 0.366 (0.275)	Data 0.315 (0.211)	Loss 5.0255 (5.0031)	Prec@1 3.906 (4.729)	Prec@5 14.844 (16.113)
Epoch: [17][3530/7045]	Time 0.413 (0.275)	Data 0.362 (0.211)	Loss 5.0449 (5.0032)	Prec@1 3.125 (4.728)	Prec@5 14.062 (16.113)
Epoch: [17][3540/7045]	Time 0.132 (0.275)	Data 0.071 (0.211)	Loss 4.9075 (5.0031)	Prec@1 4.688 (4.727)	Prec@5 16.797 (16.115)
Epoch: [17][3550/7045]	Time 0.368 (0.275)	Data 0.317 (0.211)	Loss 5.0088 (5.0030)	Prec@1 5.859 (4.728)	Prec@5 16.016 (16.117)
Epoch: [17][3560/7045]	Time 0.101 (0.275)	Data 0.015 (0.211)	Loss 4.8732 (5.0030)	Prec@1 6.250 (4.728)	Prec@5 14.453 (16.113)
Epoch: [17][3570/7045]	Time 2.522 (0.275)	Data 2.471 (0.211)	Loss 5.0441 (5.0029)	Prec@1 2.344 (4.728)	Prec@5 15.234 (16.114)
Epoch: [17][3580/7045]	Time 0.169 (0.275)	Data 0.117 (0.211)	Loss 5.0221 (5.0027)	Prec@1 3.906 (4.729)	Prec@5 13.672 (16.118)
Epoch: [17][3590/7045]	Time 0.239 (0.275)	Data 0.187 (0.211)	Loss 4.9487 (5.0025)	Prec@1 3.906 (4.731)	Prec@5 17.188 (16.121)
Epoch: [17][3600/7045]	Time 0.101 (0.275)	Data 0.021 (0.211)	Loss 4.9500 (5.0025)	Prec@1 4.297 (4.730)	Prec@5 17.188 (16.122)
Epoch: [17][3610/7045]	Time 0.102 (0.275)	Data 0.001 (0.211)	Loss 5.0999 (5.0025)	Prec@1 3.125 (4.732)	Prec@5 13.672 (16.125)
Epoch: [17][3620/7045]	Time 0.125 (0.275)	Data 0.072 (0.211)	Loss 5.1720 (5.0025)	Prec@1 1.562 (4.732)	Prec@5 11.328 (16.124)
Epoch: [17][3630/7045]	Time 0.101 (0.275)	Data 0.001 (0.211)	Loss 4.9769 (5.0025)	Prec@1 4.688 (4.735)	Prec@5 15.625 (16.124)
Epoch: [17][3640/7045]	Time 0.101 (0.275)	Data 0.002 (0.211)	Loss 4.9949 (5.0024)	Prec@1 5.078 (4.735)	Prec@5 11.328 (16.123)
Epoch: [17][3650/7045]	Time 0.302 (0.275)	Data 0.250 (0.211)	Loss 4.9630 (5.0024)	Prec@1 3.125 (4.735)	Prec@5 15.234 (16.120)
Epoch: [17][3660/7045]	Time 0.233 (0.275)	Data 0.183 (0.211)	Loss 5.1372 (5.0024)	Prec@1 3.125 (4.736)	Prec@5 16.406 (16.123)
Epoch: [17][3670/7045]	Time 0.576 (0.275)	Data 0.524 (0.211)	Loss 4.9840 (5.0023)	Prec@1 5.469 (4.737)	Prec@5 15.625 (16.125)
Epoch: [17][3680/7045]	Time 0.178 (0.275)	Data 0.125 (0.210)	Loss 5.0939 (5.0023)	Prec@1 4.297 (4.735)	Prec@5 14.062 (16.124)
Epoch: [17][3690/7045]	Time 0.517 (0.275)	Data 0.457 (0.210)	Loss 4.9976 (5.0026)	Prec@1 5.859 (4.734)	Prec@5 17.188 (16.115)
Epoch: [17][3700/7045]	Time 0.102 (0.275)	Data 0.023 (0.210)	Loss 5.0361 (5.0028)	Prec@1 3.125 (4.730)	Prec@5 16.016 (16.110)
Epoch: [17][3710/7045]	Time 0.101 (0.275)	Data 0.002 (0.210)	Loss 5.0522 (5.0031)	Prec@1 1.953 (4.725)	Prec@5 12.500 (16.103)
Epoch: [17][3720/7045]	Time 0.102 (0.275)	Data 0.001 (0.211)	Loss 4.9897 (5.0031)	Prec@1 4.297 (4.724)	Prec@5 14.062 (16.100)
Epoch: [17][3730/7045]	Time 0.198 (0.275)	Data 0.147 (0.211)	Loss 5.0579 (5.0031)	Prec@1 4.688 (4.724)	Prec@5 15.234 (16.096)
Epoch: [17][3740/7045]	Time 0.102 (0.275)	Data 0.001 (0.211)	Loss 5.0970 (5.0031)	Prec@1 2.734 (4.724)	Prec@5 13.672 (16.096)
Epoch: [17][3750/7045]	Time 0.431 (0.275)	Data 0.369 (0.211)	Loss 4.8707 (5.0030)	Prec@1 6.250 (4.726)	Prec@5 22.656 (16.098)
Epoch: [17][3760/7045]	Time 0.101 (0.275)	Data 0.017 (0.210)	Loss 5.0238 (5.0029)	Prec@1 3.516 (4.729)	Prec@5 16.406 (16.101)
Epoch: [17][3770/7045]	Time 0.575 (0.275)	Data 0.523 (0.210)	Loss 4.9022 (5.0027)	Prec@1 8.594 (4.730)	Prec@5 19.141 (16.103)
Epoch: [17][3780/7045]	Time 0.105 (0.275)	Data 0.052 (0.210)	Loss 4.8364 (5.0025)	Prec@1 4.688 (4.731)	Prec@5 20.312 (16.105)
Epoch: [17][3790/7045]	Time 0.769 (0.275)	Data 0.718 (0.211)	Loss 5.0409 (5.0026)	Prec@1 4.688 (4.731)	Prec@5 13.672 (16.106)
Epoch: [17][3800/7045]	Time 0.131 (0.275)	Data 0.080 (0.211)	Loss 4.9983 (5.0026)	Prec@1 4.688 (4.731)	Prec@5 14.062 (16.105)
Epoch: [17][3810/7045]	Time 0.687 (0.275)	Data 0.626 (0.211)	Loss 5.0530 (5.0025)	Prec@1 4.688 (4.732)	Prec@5 15.625 (16.108)
Epoch: [17][3820/7045]	Time 0.100 (0.275)	Data 0.001 (0.211)	Loss 4.9561 (5.0024)	Prec@1 4.688 (4.735)	Prec@5 17.578 (16.111)
Epoch: [17][3830/7045]	Time 0.756 (0.275)	Data 0.705 (0.211)	Loss 5.0736 (5.0024)	Prec@1 3.906 (4.735)	Prec@5 16.797 (16.113)
Epoch: [17][3840/7045]	Time 0.180 (0.275)	Data 0.130 (0.210)	Loss 4.9882 (5.0024)	Prec@1 3.906 (4.736)	Prec@5 13.672 (16.112)
Epoch: [17][3850/7045]	Time 0.514 (0.275)	Data 0.462 (0.211)	Loss 5.0621 (5.0022)	Prec@1 4.297 (4.737)	Prec@5 18.359 (16.116)
Epoch: [17][3860/7045]	Time 0.135 (0.275)	Data 0.084 (0.211)	Loss 4.9551 (5.0020)	Prec@1 8.203 (4.742)	Prec@5 19.531 (16.123)
Epoch: [17][3870/7045]	Time 0.644 (0.275)	Data 0.586 (0.211)	Loss 4.8993 (5.0020)	Prec@1 8.203 (4.744)	Prec@5 18.750 (16.126)
Epoch: [17][3880/7045]	Time 0.179 (0.275)	Data 0.126 (0.211)	Loss 4.9831 (5.0019)	Prec@1 6.641 (4.745)	Prec@5 16.016 (16.127)
Epoch: [17][3890/7045]	Time 0.580 (0.275)	Data 0.519 (0.211)	Loss 5.0565 (5.0020)	Prec@1 4.688 (4.743)	Prec@5 12.891 (16.124)
Epoch: [17][3900/7045]	Time 0.102 (0.275)	Data 0.001 (0.211)	Loss 5.1002 (5.0019)	Prec@1 4.297 (4.743)	Prec@5 12.109 (16.125)
Epoch: [17][3910/7045]	Time 0.107 (0.275)	Data 0.019 (0.211)	Loss 4.9748 (5.0017)	Prec@1 3.516 (4.744)	Prec@5 16.016 (16.128)
Epoch: [17][3920/7045]	Time 0.103 (0.275)	Data 0.001 (0.211)	Loss 4.8959 (5.0016)	Prec@1 3.906 (4.744)	Prec@5 20.703 (16.130)
Epoch: [17][3930/7045]	Time 0.187 (0.275)	Data 0.136 (0.211)	Loss 4.9228 (5.0015)	Prec@1 6.250 (4.745)	Prec@5 18.750 (16.132)
Epoch: [17][3940/7045]	Time 0.108 (0.275)	Data 0.056 (0.210)	Loss 4.9949 (5.0014)	Prec@1 5.859 (4.747)	Prec@5 15.234 (16.136)
Epoch: [17][3950/7045]	Time 0.101 (0.275)	Data 0.019 (0.210)	Loss 4.7972 (5.0012)	Prec@1 7.031 (4.749)	Prec@5 17.969 (16.140)
Epoch: [17][3960/7045]	Time 0.101 (0.275)	Data 0.017 (0.210)	Loss 4.8987 (5.0011)	Prec@1 6.641 (4.749)	Prec@5 19.531 (16.145)
Epoch: [17][3970/7045]	Time 0.100 (0.275)	Data 0.045 (0.210)	Loss 5.0762 (5.0012)	Prec@1 4.688 (4.749)	Prec@5 16.016 (16.145)
Epoch: [17][3980/7045]	Time 0.100 (0.275)	Data 0.018 (0.210)	Loss 5.0615 (5.0012)	Prec@1 2.344 (4.748)	Prec@5 13.281 (16.145)
Epoch: [17][3990/7045]	Time 0.102 (0.275)	Data 0.001 (0.210)	Loss 4.9899 (5.0013)	Prec@1 4.688 (4.748)	Prec@5 17.578 (16.144)
Epoch: [17][4000/7045]	Time 0.110 (0.275)	Data 0.058 (0.210)	Loss 4.9025 (5.0012)	Prec@1 7.812 (4.751)	Prec@5 17.188 (16.148)
Epoch: [17][4010/7045]	Time 0.100 (0.275)	Data 0.004 (0.210)	Loss 4.9278 (5.0013)	Prec@1 4.297 (4.750)	Prec@5 16.016 (16.147)
Epoch: [17][4020/7045]	Time 0.174 (0.276)	Data 0.124 (0.211)	Loss 5.1195 (5.0012)	Prec@1 5.078 (4.749)	Prec@5 15.625 (16.146)
Epoch: [17][4030/7045]	Time 0.299 (0.276)	Data 0.248 (0.211)	Loss 5.0685 (5.0011)	Prec@1 4.297 (4.750)	Prec@5 12.109 (16.145)
Epoch: [17][4040/7045]	Time 0.102 (0.276)	Data 0.001 (0.211)	Loss 4.9880 (5.0011)	Prec@1 4.688 (4.748)	Prec@5 15.625 (16.145)
Epoch: [17][4050/7045]	Time 0.394 (0.276)	Data 0.342 (0.211)	Loss 5.1978 (5.0013)	Prec@1 1.562 (4.747)	Prec@5 11.719 (16.141)
Epoch: [17][4060/7045]	Time 0.199 (0.276)	Data 0.149 (0.211)	Loss 5.0946 (5.0014)	Prec@1 4.297 (4.747)	Prec@5 16.406 (16.142)
Epoch: [17][4070/7045]	Time 0.226 (0.276)	Data 0.174 (0.211)	Loss 5.0794 (5.0014)	Prec@1 4.688 (4.746)	Prec@5 16.016 (16.142)
Epoch: [17][4080/7045]	Time 0.101 (0.276)	Data 0.008 (0.211)	Loss 4.9909 (5.0015)	Prec@1 4.688 (4.745)	Prec@5 16.016 (16.137)
Epoch: [17][4090/7045]	Time 0.110 (0.276)	Data 0.007 (0.211)	Loss 5.0917 (5.0017)	Prec@1 4.688 (4.744)	Prec@5 16.797 (16.135)
Epoch: [17][4100/7045]	Time 0.103 (0.276)	Data 0.001 (0.211)	Loss 5.1884 (5.0020)	Prec@1 3.516 (4.742)	Prec@5 12.109 (16.130)
Epoch: [17][4110/7045]	Time 0.410 (0.276)	Data 0.350 (0.211)	Loss 5.0597 (5.0022)	Prec@1 4.297 (4.741)	Prec@5 15.625 (16.127)
Epoch: [17][4120/7045]	Time 0.166 (0.276)	Data 0.115 (0.211)	Loss 5.0846 (5.0023)	Prec@1 2.734 (4.740)	Prec@5 14.453 (16.125)
Epoch: [17][4130/7045]	Time 0.157 (0.276)	Data 0.106 (0.211)	Loss 4.9299 (5.0022)	Prec@1 5.469 (4.742)	Prec@5 18.359 (16.128)
Epoch: [17][4140/7045]	Time 0.451 (0.276)	Data 0.401 (0.211)	Loss 5.0934 (5.0023)	Prec@1 2.344 (4.741)	Prec@5 15.234 (16.126)
Epoch: [17][4150/7045]	Time 0.389 (0.276)	Data 0.338 (0.211)	Loss 4.9619 (5.0026)	Prec@1 7.812 (4.739)	Prec@5 18.359 (16.121)
Epoch: [17][4160/7045]	Time 0.219 (0.276)	Data 0.168 (0.211)	Loss 5.0931 (5.0027)	Prec@1 3.906 (4.737)	Prec@5 12.500 (16.118)
Epoch: [17][4170/7045]	Time 0.381 (0.276)	Data 0.329 (0.211)	Loss 5.2055 (5.0029)	Prec@1 2.734 (4.736)	Prec@5 12.500 (16.117)
Epoch: [17][4180/7045]	Time 0.388 (0.275)	Data 0.338 (0.211)	Loss 4.9443 (5.0030)	Prec@1 4.297 (4.735)	Prec@5 16.016 (16.113)
Epoch: [17][4190/7045]	Time 0.360 (0.276)	Data 0.309 (0.211)	Loss 5.0510 (5.0030)	Prec@1 2.734 (4.734)	Prec@5 12.891 (16.112)
Epoch: [17][4200/7045]	Time 0.446 (0.276)	Data 0.394 (0.211)	Loss 5.0215 (5.0030)	Prec@1 5.078 (4.733)	Prec@5 16.406 (16.111)
Epoch: [17][4210/7045]	Time 0.100 (0.276)	Data 0.010 (0.211)	Loss 4.9073 (5.0030)	Prec@1 4.688 (4.734)	Prec@5 17.188 (16.108)
Epoch: [17][4220/7045]	Time 0.817 (0.276)	Data 0.766 (0.211)	Loss 4.9519 (5.0030)	Prec@1 5.469 (4.734)	Prec@5 16.406 (16.109)
Epoch: [17][4230/7045]	Time 0.227 (0.275)	Data 0.175 (0.211)	Loss 4.9882 (5.0030)	Prec@1 3.516 (4.735)	Prec@5 18.750 (16.111)
Epoch: [17][4240/7045]	Time 0.507 (0.275)	Data 0.457 (0.211)	Loss 5.1181 (5.0032)	Prec@1 5.469 (4.734)	Prec@5 15.625 (16.111)
Epoch: [17][4250/7045]	Time 0.107 (0.275)	Data 0.054 (0.211)	Loss 4.9425 (5.0034)	Prec@1 7.812 (4.734)	Prec@5 20.312 (16.109)
Epoch: [17][4260/7045]	Time 1.575 (0.276)	Data 1.525 (0.211)	Loss 5.1099 (5.0035)	Prec@1 4.297 (4.732)	Prec@5 12.891 (16.106)
Epoch: [17][4270/7045]	Time 0.152 (0.275)	Data 0.100 (0.211)	Loss 4.9820 (5.0037)	Prec@1 4.688 (4.730)	Prec@5 16.797 (16.104)
Epoch: [17][4280/7045]	Time 0.323 (0.275)	Data 0.265 (0.211)	Loss 4.8958 (5.0037)	Prec@1 5.078 (4.730)	Prec@5 19.531 (16.105)
Epoch: [17][4290/7045]	Time 0.159 (0.275)	Data 0.108 (0.211)	Loss 5.0463 (5.0036)	Prec@1 4.297 (4.731)	Prec@5 16.406 (16.107)
Epoch: [17][4300/7045]	Time 0.307 (0.275)	Data 0.256 (0.211)	Loss 4.9906 (5.0037)	Prec@1 7.031 (4.733)	Prec@5 18.750 (16.109)
Epoch: [17][4310/7045]	Time 0.102 (0.275)	Data 0.001 (0.211)	Loss 4.9923 (5.0037)	Prec@1 5.469 (4.732)	Prec@5 16.797 (16.109)
Epoch: [17][4320/7045]	Time 0.101 (0.275)	Data 0.012 (0.211)	Loss 5.0496 (5.0037)	Prec@1 1.562 (4.731)	Prec@5 15.625 (16.110)
Epoch: [17][4330/7045]	Time 0.289 (0.275)	Data 0.231 (0.211)	Loss 4.9099 (5.0037)	Prec@1 4.688 (4.731)	Prec@5 16.797 (16.109)
Epoch: [17][4340/7045]	Time 0.101 (0.275)	Data 0.001 (0.211)	Loss 4.8221 (5.0036)	Prec@1 5.859 (4.733)	Prec@5 16.406 (16.111)
Epoch: [17][4350/7045]	Time 0.255 (0.275)	Data 0.205 (0.211)	Loss 4.9867 (5.0037)	Prec@1 5.078 (4.733)	Prec@5 19.141 (16.109)
Epoch: [17][4360/7045]	Time 0.331 (0.275)	Data 0.278 (0.211)	Loss 5.0309 (5.0036)	Prec@1 8.203 (4.734)	Prec@5 21.484 (16.114)
Epoch: [17][4370/7045]	Time 0.180 (0.275)	Data 0.129 (0.211)	Loss 4.9980 (5.0037)	Prec@1 6.250 (4.734)	Prec@5 23.828 (16.116)
Epoch: [17][4380/7045]	Time 0.495 (0.275)	Data 0.444 (0.211)	Loss 5.0688 (5.0038)	Prec@1 4.297 (4.734)	Prec@5 16.797 (16.114)
Epoch: [17][4390/7045]	Time 0.101 (0.275)	Data 0.018 (0.210)	Loss 5.1242 (5.0038)	Prec@1 3.516 (4.733)	Prec@5 16.016 (16.115)
Epoch: [17][4400/7045]	Time 0.919 (0.275)	Data 0.868 (0.211)	Loss 5.1986 (5.0039)	Prec@1 2.344 (4.733)	Prec@5 9.766 (16.114)
Epoch: [17][4410/7045]	Time 0.100 (0.275)	Data 0.001 (0.210)	Loss 5.0201 (5.0040)	Prec@1 3.516 (4.731)	Prec@5 15.234 (16.111)
Epoch: [17][4420/7045]	Time 0.727 (0.275)	Data 0.676 (0.210)	Loss 5.0623 (5.0039)	Prec@1 4.297 (4.732)	Prec@5 17.188 (16.115)
Epoch: [17][4430/7045]	Time 0.109 (0.275)	Data 0.001 (0.210)	Loss 4.8703 (5.0038)	Prec@1 5.859 (4.734)	Prec@5 19.531 (16.116)
Epoch: [17][4440/7045]	Time 0.609 (0.275)	Data 0.557 (0.210)	Loss 4.9601 (5.0037)	Prec@1 5.469 (4.734)	Prec@5 15.625 (16.119)
Epoch: [17][4450/7045]	Time 1.858 (0.275)	Data 1.806 (0.210)	Loss 5.1519 (5.0037)	Prec@1 1.562 (4.733)	Prec@5 14.062 (16.117)
Epoch: [17][4460/7045]	Time 0.481 (0.275)	Data 0.429 (0.210)	Loss 4.9317 (5.0038)	Prec@1 5.469 (4.734)	Prec@5 18.750 (16.116)
Epoch: [17][4470/7045]	Time 0.101 (0.275)	Data 0.001 (0.210)	Loss 4.9752 (5.0039)	Prec@1 6.250 (4.734)	Prec@5 16.406 (16.116)
Epoch: [17][4480/7045]	Time 0.464 (0.275)	Data 0.411 (0.210)	Loss 4.9610 (5.0040)	Prec@1 3.516 (4.733)	Prec@5 12.891 (16.113)
Epoch: [17][4490/7045]	Time 0.104 (0.275)	Data 0.052 (0.210)	Loss 5.2017 (5.0040)	Prec@1 6.641 (4.732)	Prec@5 13.672 (16.114)
Epoch: [17][4500/7045]	Time 0.609 (0.275)	Data 0.557 (0.210)	Loss 5.1024 (5.0042)	Prec@1 3.906 (4.731)	Prec@5 11.719 (16.109)
Epoch: [17][4510/7045]	Time 0.101 (0.275)	Data 0.017 (0.210)	Loss 4.9676 (5.0043)	Prec@1 3.516 (4.731)	Prec@5 15.234 (16.109)
Epoch: [17][4520/7045]	Time 0.110 (0.275)	Data 0.004 (0.210)	Loss 4.9766 (5.0043)	Prec@1 6.641 (4.730)	Prec@5 15.625 (16.105)
Epoch: [17][4530/7045]	Time 0.105 (0.275)	Data 0.053 (0.210)	Loss 5.1536 (5.0044)	Prec@1 3.125 (4.729)	Prec@5 13.281 (16.102)
Epoch: [17][4540/7045]	Time 0.101 (0.275)	Data 0.015 (0.210)	Loss 5.0003 (5.0044)	Prec@1 5.469 (4.728)	Prec@5 16.406 (16.101)
Epoch: [17][4550/7045]	Time 0.196 (0.275)	Data 0.145 (0.210)	Loss 5.0862 (5.0046)	Prec@1 2.734 (4.727)	Prec@5 9.375 (16.098)
Epoch: [17][4560/7045]	Time 0.275 (0.275)	Data 0.213 (0.210)	Loss 5.2419 (5.0046)	Prec@1 5.859 (4.727)	Prec@5 14.062 (16.097)
Epoch: [17][4570/7045]	Time 0.560 (0.275)	Data 0.500 (0.210)	Loss 5.0423 (5.0046)	Prec@1 5.078 (4.727)	Prec@5 17.188 (16.099)
Epoch: [17][4580/7045]	Time 0.116 (0.275)	Data 0.060 (0.210)	Loss 4.9190 (5.0046)	Prec@1 5.469 (4.727)	Prec@5 17.188 (16.098)
Epoch: [17][4590/7045]	Time 0.555 (0.275)	Data 0.504 (0.210)	Loss 5.1315 (5.0047)	Prec@1 3.906 (4.728)	Prec@5 12.891 (16.096)
Epoch: [17][4600/7045]	Time 0.165 (0.275)	Data 0.114 (0.210)	Loss 5.0824 (5.0046)	Prec@1 3.125 (4.730)	Prec@5 16.406 (16.098)
Epoch: [17][4610/7045]	Time 0.567 (0.275)	Data 0.516 (0.210)	Loss 5.0441 (5.0046)	Prec@1 5.469 (4.730)	Prec@5 14.453 (16.096)
Epoch: [17][4620/7045]	Time 0.102 (0.275)	Data 0.031 (0.210)	Loss 5.0389 (5.0048)	Prec@1 5.078 (4.729)	Prec@5 14.453 (16.095)
Epoch: [17][4630/7045]	Time 0.101 (0.275)	Data 0.046 (0.210)	Loss 4.8383 (5.0049)	Prec@1 7.031 (4.728)	Prec@5 19.531 (16.095)
Epoch: [17][4640/7045]	Time 0.102 (0.275)	Data 0.016 (0.210)	Loss 4.9271 (5.0049)	Prec@1 4.297 (4.728)	Prec@5 16.016 (16.094)
Epoch: [17][4650/7045]	Time 0.128 (0.275)	Data 0.076 (0.210)	Loss 4.9859 (5.0049)	Prec@1 7.422 (4.729)	Prec@5 19.922 (16.098)
Epoch: [17][4660/7045]	Time 0.114 (0.275)	Data 0.007 (0.210)	Loss 4.9945 (5.0049)	Prec@1 3.906 (4.727)	Prec@5 17.188 (16.100)
Epoch: [17][4670/7045]	Time 0.127 (0.275)	Data 0.077 (0.210)	Loss 5.1057 (5.0051)	Prec@1 3.516 (4.727)	Prec@5 12.891 (16.096)
Epoch: [17][4680/7045]	Time 0.129 (0.275)	Data 0.077 (0.210)	Loss 4.9309 (5.0052)	Prec@1 3.906 (4.726)	Prec@5 13.281 (16.097)
Epoch: [17][4690/7045]	Time 0.129 (0.275)	Data 0.077 (0.210)	Loss 5.0454 (5.0052)	Prec@1 2.734 (4.725)	Prec@5 14.844 (16.095)
Epoch: [17][4700/7045]	Time 0.098 (0.275)	Data 0.001 (0.210)	Loss 5.1663 (5.0052)	Prec@1 5.078 (4.726)	Prec@5 14.844 (16.097)
Epoch: [17][4710/7045]	Time 0.609 (0.275)	Data 0.558 (0.210)	Loss 4.9012 (5.0052)	Prec@1 3.125 (4.724)	Prec@5 16.406 (16.098)
Epoch: [17][4720/7045]	Time 0.109 (0.275)	Data 0.057 (0.210)	Loss 5.0320 (5.0052)	Prec@1 2.734 (4.723)	Prec@5 15.625 (16.099)
Epoch: [17][4730/7045]	Time 0.352 (0.275)	Data 0.302 (0.210)	Loss 4.9737 (5.0052)	Prec@1 4.297 (4.722)	Prec@5 16.016 (16.100)
Epoch: [17][4740/7045]	Time 0.232 (0.275)	Data 0.180 (0.210)	Loss 5.1291 (5.0054)	Prec@1 3.125 (4.720)	Prec@5 14.844 (16.097)
Epoch: [17][4750/7045]	Time 0.101 (0.275)	Data 0.001 (0.210)	Loss 5.0317 (5.0056)	Prec@1 5.078 (4.719)	Prec@5 14.062 (16.091)
Epoch: [17][4760/7045]	Time 0.102 (0.275)	Data 0.011 (0.210)	Loss 5.1068 (5.0056)	Prec@1 2.734 (4.719)	Prec@5 15.625 (16.093)
Epoch: [17][4770/7045]	Time 0.373 (0.275)	Data 0.322 (0.210)	Loss 5.1765 (5.0057)	Prec@1 2.344 (4.719)	Prec@5 17.969 (16.091)
Epoch: [17][4780/7045]	Time 0.103 (0.275)	Data 0.015 (0.210)	Loss 5.2008 (5.0059)	Prec@1 3.125 (4.718)	Prec@5 14.844 (16.090)
Epoch: [17][4790/7045]	Time 0.384 (0.275)	Data 0.333 (0.210)	Loss 5.1575 (5.0060)	Prec@1 3.516 (4.716)	Prec@5 12.109 (16.087)
Epoch: [17][4800/7045]	Time 0.359 (0.275)	Data 0.309 (0.210)	Loss 5.0208 (5.0060)	Prec@1 3.906 (4.716)	Prec@5 18.359 (16.089)
Epoch: [17][4810/7045]	Time 0.180 (0.275)	Data 0.129 (0.210)	Loss 4.9136 (5.0060)	Prec@1 8.203 (4.717)	Prec@5 20.312 (16.088)
Epoch: [17][4820/7045]	Time 0.451 (0.275)	Data 0.399 (0.211)	Loss 5.0343 (5.0060)	Prec@1 5.078 (4.718)	Prec@5 16.406 (16.090)
Epoch: [17][4830/7045]	Time 0.102 (0.275)	Data 0.050 (0.210)	Loss 4.9934 (5.0060)	Prec@1 4.688 (4.718)	Prec@5 16.797 (16.089)
Epoch: [17][4840/7045]	Time 0.267 (0.275)	Data 0.216 (0.210)	Loss 4.8673 (5.0060)	Prec@1 7.422 (4.718)	Prec@5 18.359 (16.088)
Epoch: [17][4850/7045]	Time 0.101 (0.275)	Data 0.048 (0.210)	Loss 4.9383 (5.0059)	Prec@1 6.641 (4.719)	Prec@5 19.922 (16.091)
Epoch: [17][4860/7045]	Time 0.368 (0.275)	Data 0.316 (0.210)	Loss 4.8840 (5.0058)	Prec@1 5.469 (4.719)	Prec@5 17.188 (16.093)
Epoch: [17][4870/7045]	Time 0.143 (0.275)	Data 0.092 (0.210)	Loss 5.0093 (5.0059)	Prec@1 3.516 (4.719)	Prec@5 15.625 (16.092)
Epoch: [17][4880/7045]	Time 0.424 (0.275)	Data 0.374 (0.210)	Loss 4.8712 (5.0058)	Prec@1 5.469 (4.720)	Prec@5 22.266 (16.095)
Epoch: [17][4890/7045]	Time 0.152 (0.275)	Data 0.100 (0.211)	Loss 5.1098 (5.0057)	Prec@1 3.516 (4.720)	Prec@5 16.797 (16.094)
Epoch: [17][4900/7045]	Time 0.101 (0.275)	Data 0.014 (0.211)	Loss 4.9995 (5.0057)	Prec@1 4.688 (4.719)	Prec@5 16.406 (16.096)
Epoch: [17][4910/7045]	Time 0.175 (0.275)	Data 0.122 (0.211)	Loss 4.8738 (5.0055)	Prec@1 7.812 (4.721)	Prec@5 18.359 (16.101)
Epoch: [17][4920/7045]	Time 0.245 (0.275)	Data 0.193 (0.211)	Loss 4.7591 (5.0053)	Prec@1 5.469 (4.721)	Prec@5 23.438 (16.104)
Epoch: [17][4930/7045]	Time 0.124 (0.275)	Data 0.073 (0.211)	Loss 4.8826 (5.0052)	Prec@1 5.469 (4.722)	Prec@5 15.234 (16.104)
Epoch: [17][4940/7045]	Time 0.443 (0.275)	Data 0.392 (0.211)	Loss 5.0720 (5.0052)	Prec@1 4.688 (4.723)	Prec@5 16.016 (16.104)
Epoch: [17][4950/7045]	Time 0.192 (0.275)	Data 0.141 (0.211)	Loss 5.0232 (5.0052)	Prec@1 4.297 (4.722)	Prec@5 14.453 (16.103)
Epoch: [17][4960/7045]	Time 0.506 (0.275)	Data 0.453 (0.211)	Loss 5.1117 (5.0055)	Prec@1 3.516 (4.721)	Prec@5 12.109 (16.097)
Epoch: [17][4970/7045]	Time 0.127 (0.275)	Data 0.075 (0.211)	Loss 5.0345 (5.0056)	Prec@1 4.297 (4.719)	Prec@5 16.797 (16.096)
Epoch: [17][4980/7045]	Time 0.322 (0.275)	Data 0.272 (0.211)	Loss 5.1337 (5.0057)	Prec@1 3.125 (4.719)	Prec@5 12.500 (16.096)
Epoch: [17][4990/7045]	Time 0.099 (0.275)	Data 0.001 (0.211)	Loss 4.8817 (5.0056)	Prec@1 6.641 (4.721)	Prec@5 18.750 (16.097)
Epoch: [17][5000/7045]	Time 0.277 (0.275)	Data 0.226 (0.211)	Loss 4.9658 (5.0055)	Prec@1 4.297 (4.721)	Prec@5 18.359 (16.097)
Epoch: [17][5010/7045]	Time 0.183 (0.275)	Data 0.130 (0.211)	Loss 4.9884 (5.0055)	Prec@1 2.734 (4.721)	Prec@5 16.016 (16.098)
Epoch: [17][5020/7045]	Time 0.337 (0.275)	Data 0.285 (0.211)	Loss 4.9063 (5.0055)	Prec@1 5.078 (4.722)	Prec@5 19.141 (16.100)
Epoch: [17][5030/7045]	Time 0.325 (0.275)	Data 0.275 (0.211)	Loss 4.9926 (5.0055)	Prec@1 4.297 (4.722)	Prec@5 16.406 (16.102)
Epoch: [17][5040/7045]	Time 0.212 (0.275)	Data 0.162 (0.211)	Loss 5.0947 (5.0056)	Prec@1 2.344 (4.722)	Prec@5 15.625 (16.102)
Epoch: [17][5050/7045]	Time 0.373 (0.275)	Data 0.322 (0.211)	Loss 5.0493 (5.0056)	Prec@1 3.125 (4.721)	Prec@5 10.547 (16.099)
Epoch: [17][5060/7045]	Time 0.103 (0.275)	Data 0.049 (0.211)	Loss 5.1594 (5.0056)	Prec@1 3.906 (4.722)	Prec@5 11.719 (16.100)
Epoch: [17][5070/7045]	Time 0.344 (0.275)	Data 0.293 (0.211)	Loss 5.1291 (5.0056)	Prec@1 2.734 (4.722)	Prec@5 12.891 (16.099)
Epoch: [17][5080/7045]	Time 0.118 (0.275)	Data 0.065 (0.211)	Loss 5.0583 (5.0056)	Prec@1 3.125 (4.723)	Prec@5 15.234 (16.101)
Epoch: [17][5090/7045]	Time 0.430 (0.275)	Data 0.378 (0.211)	Loss 4.9168 (5.0056)	Prec@1 5.859 (4.723)	Prec@5 19.922 (16.103)
Epoch: [17][5100/7045]	Time 0.127 (0.275)	Data 0.075 (0.211)	Loss 4.9555 (5.0054)	Prec@1 1.953 (4.723)	Prec@5 13.672 (16.105)
Epoch: [17][5110/7045]	Time 0.614 (0.275)	Data 0.554 (0.211)	Loss 4.9967 (5.0052)	Prec@1 4.297 (4.726)	Prec@5 15.234 (16.110)
Epoch: [17][5120/7045]	Time 0.104 (0.275)	Data 0.052 (0.211)	Loss 5.0511 (5.0051)	Prec@1 4.297 (4.727)	Prec@5 15.234 (16.113)
Epoch: [17][5130/7045]	Time 0.433 (0.275)	Data 0.381 (0.211)	Loss 5.0586 (5.0050)	Prec@1 3.516 (4.728)	Prec@5 16.406 (16.116)
Epoch: [17][5140/7045]	Time 0.298 (0.275)	Data 0.247 (0.211)	Loss 4.8896 (5.0049)	Prec@1 4.297 (4.727)	Prec@5 19.141 (16.115)
Epoch: [17][5150/7045]	Time 0.369 (0.275)	Data 0.317 (0.211)	Loss 4.8500 (5.0049)	Prec@1 4.688 (4.728)	Prec@5 18.750 (16.116)
Epoch: [17][5160/7045]	Time 0.298 (0.275)	Data 0.239 (0.211)	Loss 5.0904 (5.0050)	Prec@1 3.906 (4.727)	Prec@5 13.281 (16.113)
Epoch: [17][5170/7045]	Time 0.477 (0.275)	Data 0.417 (0.211)	Loss 4.9005 (5.0051)	Prec@1 5.859 (4.726)	Prec@5 17.188 (16.111)
Epoch: [17][5180/7045]	Time 0.166 (0.275)	Data 0.115 (0.211)	Loss 5.0740 (5.0050)	Prec@1 6.641 (4.726)	Prec@5 14.453 (16.110)
Epoch: [17][5190/7045]	Time 0.101 (0.276)	Data 0.001 (0.211)	Loss 4.8372 (5.0050)	Prec@1 4.688 (4.726)	Prec@5 20.312 (16.114)
Epoch: [17][5200/7045]	Time 0.137 (0.275)	Data 0.084 (0.211)	Loss 5.0691 (5.0049)	Prec@1 3.125 (4.727)	Prec@5 13.281 (16.116)
Epoch: [17][5210/7045]	Time 0.108 (0.275)	Data 0.056 (0.211)	Loss 4.9131 (5.0048)	Prec@1 4.688 (4.727)	Prec@5 18.359 (16.117)
Epoch: [17][5220/7045]	Time 0.421 (0.275)	Data 0.369 (0.211)	Loss 4.9500 (5.0048)	Prec@1 4.297 (4.727)	Prec@5 14.844 (16.116)
Epoch: [17][5230/7045]	Time 0.412 (0.275)	Data 0.362 (0.211)	Loss 4.9103 (5.0048)	Prec@1 4.688 (4.726)	Prec@5 17.578 (16.116)
Epoch: [17][5240/7045]	Time 1.759 (0.276)	Data 1.708 (0.211)	Loss 5.0364 (5.0048)	Prec@1 3.125 (4.727)	Prec@5 16.406 (16.116)
Epoch: [17][5250/7045]	Time 0.763 (0.276)	Data 0.711 (0.211)	Loss 5.0975 (5.0049)	Prec@1 3.906 (4.726)	Prec@5 14.844 (16.116)
Epoch: [17][5260/7045]	Time 0.109 (0.276)	Data 0.001 (0.211)	Loss 5.0053 (5.0047)	Prec@1 3.125 (4.727)	Prec@5 17.969 (16.119)
Epoch: [17][5270/7045]	Time 0.613 (0.276)	Data 0.560 (0.211)	Loss 5.0273 (5.0047)	Prec@1 1.953 (4.726)	Prec@5 16.797 (16.120)
Epoch: [17][5280/7045]	Time 0.338 (0.275)	Data 0.287 (0.211)	Loss 4.8773 (5.0047)	Prec@1 3.125 (4.727)	Prec@5 16.406 (16.121)
Epoch: [17][5290/7045]	Time 0.412 (0.275)	Data 0.360 (0.211)	Loss 4.9895 (5.0047)	Prec@1 6.250 (4.726)	Prec@5 14.453 (16.119)
Epoch: [17][5300/7045]	Time 0.135 (0.275)	Data 0.084 (0.211)	Loss 4.9631 (5.0047)	Prec@1 5.859 (4.727)	Prec@5 16.016 (16.120)
Epoch: [17][5310/7045]	Time 0.562 (0.275)	Data 0.511 (0.211)	Loss 5.1982 (5.0048)	Prec@1 4.297 (4.725)	Prec@5 10.938 (16.116)
Epoch: [17][5320/7045]	Time 0.101 (0.275)	Data 0.008 (0.211)	Loss 5.0293 (5.0049)	Prec@1 3.516 (4.723)	Prec@5 16.406 (16.114)
Epoch: [17][5330/7045]	Time 2.667 (0.276)	Data 2.615 (0.212)	Loss 4.9728 (5.0048)	Prec@1 5.859 (4.722)	Prec@5 17.188 (16.114)
Epoch: [17][5340/7045]	Time 0.101 (0.276)	Data 0.001 (0.211)	Loss 5.0308 (5.0047)	Prec@1 2.344 (4.722)	Prec@5 15.625 (16.115)
Epoch: [17][5350/7045]	Time 0.330 (0.276)	Data 0.279 (0.211)	Loss 4.9211 (5.0047)	Prec@1 2.734 (4.722)	Prec@5 17.969 (16.115)
Epoch: [17][5360/7045]	Time 0.802 (0.276)	Data 0.750 (0.212)	Loss 4.8988 (5.0048)	Prec@1 6.250 (4.722)	Prec@5 19.922 (16.115)
Epoch: [17][5370/7045]	Time 0.143 (0.276)	Data 0.092 (0.211)	Loss 5.0139 (5.0049)	Prec@1 5.078 (4.722)	Prec@5 15.234 (16.115)
Epoch: [17][5380/7045]	Time 0.152 (0.276)	Data 0.101 (0.211)	Loss 4.9432 (5.0048)	Prec@1 5.859 (4.723)	Prec@5 18.750 (16.116)
Epoch: [17][5390/7045]	Time 0.358 (0.276)	Data 0.307 (0.211)	Loss 5.1061 (5.0047)	Prec@1 3.125 (4.723)	Prec@5 14.453 (16.118)
Epoch: [17][5400/7045]	Time 0.271 (0.276)	Data 0.214 (0.212)	Loss 4.8426 (5.0047)	Prec@1 5.078 (4.723)	Prec@5 22.656 (16.120)
Epoch: [17][5410/7045]	Time 0.627 (0.276)	Data 0.576 (0.212)	Loss 4.9323 (5.0048)	Prec@1 6.250 (4.722)	Prec@5 16.797 (16.119)
Epoch: [17][5420/7045]	Time 0.101 (0.276)	Data 0.001 (0.212)	Loss 5.1285 (5.0048)	Prec@1 4.688 (4.723)	Prec@5 16.016 (16.119)
Epoch: [17][5430/7045]	Time 0.407 (0.276)	Data 0.355 (0.212)	Loss 5.1280 (5.0050)	Prec@1 3.516 (4.722)	Prec@5 11.328 (16.116)
Epoch: [17][5440/7045]	Time 0.091 (0.276)	Data 0.001 (0.212)	Loss 4.9468 (5.0051)	Prec@1 4.688 (4.721)	Prec@5 18.750 (16.114)
Epoch: [17][5450/7045]	Time 0.248 (0.276)	Data 0.196 (0.212)	Loss 4.9485 (5.0051)	Prec@1 6.250 (4.722)	Prec@5 17.969 (16.114)
Epoch: [17][5460/7045]	Time 0.378 (0.276)	Data 0.327 (0.212)	Loss 4.9834 (5.0050)	Prec@1 5.078 (4.722)	Prec@5 16.406 (16.115)
Epoch: [17][5470/7045]	Time 0.141 (0.276)	Data 0.089 (0.212)	Loss 5.0733 (5.0051)	Prec@1 3.516 (4.721)	Prec@5 12.500 (16.114)
Epoch: [17][5480/7045]	Time 0.627 (0.276)	Data 0.577 (0.212)	Loss 4.8782 (5.0050)	Prec@1 6.641 (4.723)	Prec@5 19.922 (16.118)
Epoch: [17][5490/7045]	Time 0.102 (0.276)	Data 0.001 (0.212)	Loss 5.0075 (5.0050)	Prec@1 9.375 (4.724)	Prec@5 21.094 (16.119)
Epoch: [17][5500/7045]	Time 0.633 (0.276)	Data 0.582 (0.212)	Loss 5.0186 (5.0050)	Prec@1 2.344 (4.724)	Prec@5 15.625 (16.119)
Epoch: [17][5510/7045]	Time 0.108 (0.276)	Data 0.001 (0.212)	Loss 4.9448 (5.0050)	Prec@1 4.688 (4.724)	Prec@5 17.578 (16.118)
Epoch: [17][5520/7045]	Time 0.546 (0.276)	Data 0.494 (0.212)	Loss 5.1080 (5.0050)	Prec@1 5.078 (4.726)	Prec@5 16.016 (16.121)
Epoch: [17][5530/7045]	Time 0.209 (0.276)	Data 0.158 (0.212)	Loss 5.0290 (5.0050)	Prec@1 4.297 (4.725)	Prec@5 16.016 (16.119)
Epoch: [17][5540/7045]	Time 0.538 (0.276)	Data 0.487 (0.212)	Loss 5.1958 (5.0050)	Prec@1 4.297 (4.726)	Prec@5 16.016 (16.120)
Epoch: [17][5550/7045]	Time 0.266 (0.276)	Data 0.214 (0.212)	Loss 4.9380 (5.0050)	Prec@1 5.859 (4.727)	Prec@5 19.531 (16.122)
Epoch: [17][5560/7045]	Time 0.765 (0.276)	Data 0.705 (0.212)	Loss 4.9771 (5.0049)	Prec@1 4.297 (4.726)	Prec@5 15.234 (16.121)
Epoch: [17][5570/7045]	Time 0.192 (0.276)	Data 0.141 (0.211)	Loss 4.9522 (5.0050)	Prec@1 6.641 (4.727)	Prec@5 18.359 (16.120)
Epoch: [17][5580/7045]	Time 0.366 (0.276)	Data 0.314 (0.211)	Loss 5.0643 (5.0050)	Prec@1 3.516 (4.725)	Prec@5 16.016 (16.118)
Epoch: [17][5590/7045]	Time 0.102 (0.276)	Data 0.007 (0.211)	Loss 4.9283 (5.0049)	Prec@1 3.906 (4.726)	Prec@5 17.578 (16.121)
Epoch: [17][5600/7045]	Time 0.109 (0.276)	Data 0.058 (0.212)	Loss 5.0787 (5.0049)	Prec@1 7.422 (4.726)	Prec@5 17.188 (16.120)
Epoch: [17][5610/7045]	Time 0.101 (0.276)	Data 0.020 (0.212)	Loss 4.9217 (5.0049)	Prec@1 5.469 (4.726)	Prec@5 18.750 (16.120)
Epoch: [17][5620/7045]	Time 0.101 (0.276)	Data 0.005 (0.212)	Loss 5.0418 (5.0048)	Prec@1 3.125 (4.726)	Prec@5 14.453 (16.121)
Epoch: [17][5630/7045]	Time 0.102 (0.276)	Data 0.001 (0.211)	Loss 4.9116 (5.0048)	Prec@1 5.078 (4.725)	Prec@5 17.188 (16.119)
Epoch: [17][5640/7045]	Time 0.101 (0.276)	Data 0.049 (0.211)	Loss 4.9402 (5.0047)	Prec@1 5.469 (4.725)	Prec@5 18.359 (16.120)
Epoch: [17][5650/7045]	Time 0.393 (0.276)	Data 0.342 (0.211)	Loss 5.0113 (5.0047)	Prec@1 5.469 (4.725)	Prec@5 16.797 (16.120)
Epoch: [17][5660/7045]	Time 0.128 (0.276)	Data 0.068 (0.211)	Loss 5.0230 (5.0048)	Prec@1 4.297 (4.724)	Prec@5 16.016 (16.118)
Epoch: [17][5670/7045]	Time 2.010 (0.276)	Data 1.959 (0.212)	Loss 4.8912 (5.0048)	Prec@1 8.594 (4.724)	Prec@5 19.531 (16.117)
Epoch: [17][5680/7045]	Time 0.169 (0.276)	Data 0.117 (0.212)	Loss 4.9683 (5.0048)	Prec@1 7.031 (4.725)	Prec@5 18.750 (16.117)
Epoch: [17][5690/7045]	Time 0.100 (0.276)	Data 0.018 (0.212)	Loss 4.7601 (5.0046)	Prec@1 5.078 (4.727)	Prec@5 17.969 (16.120)
Epoch: [17][5700/7045]	Time 0.237 (0.276)	Data 0.185 (0.212)	Loss 4.9978 (5.0046)	Prec@1 3.906 (4.727)	Prec@5 14.062 (16.120)
Epoch: [17][5710/7045]	Time 0.153 (0.276)	Data 0.102 (0.211)	Loss 4.9592 (5.0044)	Prec@1 3.125 (4.726)	Prec@5 16.797 (16.121)
Epoch: [17][5720/7045]	Time 0.139 (0.276)	Data 0.086 (0.211)	Loss 5.1138 (5.0045)	Prec@1 3.906 (4.725)	Prec@5 15.234 (16.120)
Epoch: [17][5730/7045]	Time 0.101 (0.276)	Data 0.001 (0.212)	Loss 4.9251 (5.0045)	Prec@1 3.516 (4.724)	Prec@5 14.453 (16.119)
Epoch: [17][5740/7045]	Time 0.102 (0.276)	Data 0.001 (0.212)	Loss 4.9834 (5.0045)	Prec@1 5.469 (4.724)	Prec@5 18.750 (16.118)
Epoch: [17][5750/7045]	Time 0.108 (0.276)	Data 0.056 (0.212)	Loss 5.0901 (5.0045)	Prec@1 2.734 (4.725)	Prec@5 17.969 (16.119)
Epoch: [17][5760/7045]	Time 0.100 (0.276)	Data 0.001 (0.212)	Loss 5.0970 (5.0045)	Prec@1 3.516 (4.724)	Prec@5 13.281 (16.118)
Epoch: [17][5770/7045]	Time 0.101 (0.276)	Data 0.047 (0.212)	Loss 4.9480 (5.0045)	Prec@1 4.688 (4.725)	Prec@5 16.016 (16.118)
Epoch: [17][5780/7045]	Time 0.268 (0.276)	Data 0.218 (0.212)	Loss 5.1472 (5.0045)	Prec@1 4.297 (4.724)	Prec@5 14.844 (16.116)
Epoch: [17][5790/7045]	Time 0.101 (0.276)	Data 0.001 (0.212)	Loss 5.1075 (5.0044)	Prec@1 3.125 (4.725)	Prec@5 14.453 (16.116)
Epoch: [17][5800/7045]	Time 0.332 (0.276)	Data 0.280 (0.212)	Loss 4.8116 (5.0043)	Prec@1 5.469 (4.725)	Prec@5 19.531 (16.119)
Epoch: [17][5810/7045]	Time 0.102 (0.276)	Data 0.001 (0.212)	Loss 4.9049 (5.0043)	Prec@1 4.688 (4.725)	Prec@5 16.406 (16.120)
Epoch: [17][5820/7045]	Time 0.106 (0.276)	Data 0.001 (0.212)	Loss 4.9676 (5.0043)	Prec@1 5.078 (4.724)	Prec@5 19.141 (16.121)
Epoch: [17][5830/7045]	Time 0.102 (0.276)	Data 0.012 (0.212)	Loss 5.0173 (5.0043)	Prec@1 3.516 (4.725)	Prec@5 13.281 (16.120)
Epoch: [17][5840/7045]	Time 0.275 (0.276)	Data 0.217 (0.212)	Loss 4.8570 (5.0042)	Prec@1 4.297 (4.725)	Prec@5 16.406 (16.121)
Epoch: [17][5850/7045]	Time 0.273 (0.276)	Data 0.223 (0.212)	Loss 5.0167 (5.0042)	Prec@1 1.953 (4.724)	Prec@5 15.625 (16.121)
Epoch: [17][5860/7045]	Time 0.105 (0.276)	Data 0.053 (0.211)	Loss 4.8667 (5.0042)	Prec@1 6.250 (4.723)	Prec@5 20.312 (16.120)
Epoch: [17][5870/7045]	Time 0.372 (0.276)	Data 0.321 (0.212)	Loss 4.8589 (5.0042)	Prec@1 5.469 (4.723)	Prec@5 17.578 (16.119)
Epoch: [17][5880/7045]	Time 0.378 (0.276)	Data 0.328 (0.212)	Loss 5.0171 (5.0042)	Prec@1 4.297 (4.723)	Prec@5 16.797 (16.118)
Epoch: [17][5890/7045]	Time 0.448 (0.276)	Data 0.398 (0.212)	Loss 5.0948 (5.0045)	Prec@1 3.125 (4.721)	Prec@5 13.672 (16.115)
Epoch: [17][5900/7045]	Time 0.254 (0.276)	Data 0.204 (0.212)	Loss 5.0752 (5.0046)	Prec@1 3.906 (4.721)	Prec@5 17.578 (16.112)
Epoch: [17][5910/7045]	Time 0.365 (0.276)	Data 0.314 (0.212)	Loss 4.9948 (5.0047)	Prec@1 7.422 (4.721)	Prec@5 15.234 (16.110)
Epoch: [17][5920/7045]	Time 0.139 (0.276)	Data 0.082 (0.212)	Loss 4.9914 (5.0049)	Prec@1 4.297 (4.720)	Prec@5 11.719 (16.108)
Epoch: [17][5930/7045]	Time 0.679 (0.276)	Data 0.627 (0.212)	Loss 5.1014 (5.0049)	Prec@1 5.469 (4.719)	Prec@5 12.109 (16.106)
Epoch: [17][5940/7045]	Time 0.101 (0.276)	Data 0.001 (0.212)	Loss 4.8952 (5.0050)	Prec@1 6.250 (4.718)	Prec@5 18.359 (16.103)
Epoch: [17][5950/7045]	Time 0.639 (0.276)	Data 0.588 (0.212)	Loss 5.0513 (5.0052)	Prec@1 4.297 (4.717)	Prec@5 17.578 (16.100)
Epoch: [17][5960/7045]	Time 0.129 (0.276)	Data 0.068 (0.212)	Loss 5.1102 (5.0054)	Prec@1 3.906 (4.716)	Prec@5 12.891 (16.097)
Epoch: [17][5970/7045]	Time 0.666 (0.276)	Data 0.616 (0.212)	Loss 5.1770 (5.0054)	Prec@1 5.469 (4.715)	Prec@5 14.453 (16.096)
Epoch: [17][5980/7045]	Time 0.100 (0.276)	Data 0.047 (0.212)	Loss 5.0021 (5.0055)	Prec@1 3.125 (4.715)	Prec@5 14.844 (16.095)
Epoch: [17][5990/7045]	Time 2.564 (0.276)	Data 2.504 (0.212)	Loss 5.1475 (5.0057)	Prec@1 1.172 (4.713)	Prec@5 9.766 (16.090)
Epoch: [17][6000/7045]	Time 0.102 (0.276)	Data 0.050 (0.212)	Loss 5.0395 (5.0058)	Prec@1 3.906 (4.713)	Prec@5 21.094 (16.090)
Epoch: [17][6010/7045]	Time 0.672 (0.276)	Data 0.616 (0.212)	Loss 4.9637 (5.0059)	Prec@1 5.469 (4.713)	Prec@5 17.578 (16.087)
Epoch: [17][6020/7045]	Time 0.101 (0.276)	Data 0.001 (0.212)	Loss 5.0660 (5.0060)	Prec@1 3.516 (4.712)	Prec@5 14.844 (16.086)
Epoch: [17][6030/7045]	Time 0.753 (0.276)	Data 0.703 (0.212)	Loss 5.1199 (5.0060)	Prec@1 3.906 (4.713)	Prec@5 13.672 (16.086)
Epoch: [17][6040/7045]	Time 0.102 (0.276)	Data 0.001 (0.212)	Loss 4.9827 (5.0061)	Prec@1 5.859 (4.713)	Prec@5 19.531 (16.086)
Epoch: [17][6050/7045]	Time 0.540 (0.276)	Data 0.490 (0.212)	Loss 5.0515 (5.0061)	Prec@1 5.859 (4.713)	Prec@5 15.625 (16.085)
Epoch: [17][6060/7045]	Time 0.102 (0.276)	Data 0.051 (0.212)	Loss 5.0597 (5.0062)	Prec@1 4.688 (4.712)	Prec@5 15.234 (16.082)
Epoch: [17][6070/7045]	Time 0.406 (0.276)	Data 0.354 (0.212)	Loss 5.0180 (5.0062)	Prec@1 5.078 (4.712)	Prec@5 16.016 (16.082)
Epoch: [17][6080/7045]	Time 0.100 (0.276)	Data 0.047 (0.212)	Loss 5.0000 (5.0062)	Prec@1 5.859 (4.711)	Prec@5 19.141 (16.081)
Epoch: [17][6090/7045]	Time 0.266 (0.276)	Data 0.207 (0.212)	Loss 4.8831 (5.0062)	Prec@1 3.906 (4.711)	Prec@5 16.797 (16.082)
Epoch: [17][6100/7045]	Time 0.142 (0.276)	Data 0.091 (0.212)	Loss 5.1705 (5.0063)	Prec@1 1.562 (4.709)	Prec@5 10.938 (16.080)
Epoch: [17][6110/7045]	Time 0.110 (0.276)	Data 0.001 (0.212)	Loss 5.0124 (5.0062)	Prec@1 4.297 (4.708)	Prec@5 17.969 (16.083)
Epoch: [17][6120/7045]	Time 0.100 (0.276)	Data 0.001 (0.212)	Loss 5.0718 (5.0062)	Prec@1 4.688 (4.708)	Prec@5 15.625 (16.084)
Epoch: [17][6130/7045]	Time 0.403 (0.276)	Data 0.352 (0.212)	Loss 5.0114 (5.0061)	Prec@1 4.688 (4.708)	Prec@5 14.844 (16.084)
Epoch: [17][6140/7045]	Time 0.109 (0.276)	Data 0.058 (0.212)	Loss 5.0446 (5.0062)	Prec@1 2.734 (4.707)	Prec@5 12.891 (16.082)
Epoch: [17][6150/7045]	Time 0.110 (0.276)	Data 0.013 (0.211)	Loss 5.0454 (5.0063)	Prec@1 8.594 (4.708)	Prec@5 16.406 (16.080)
Epoch: [17][6160/7045]	Time 0.112 (0.276)	Data 0.059 (0.212)	Loss 4.9436 (5.0064)	Prec@1 5.078 (4.707)	Prec@5 17.188 (16.079)
Epoch: [17][6170/7045]	Time 0.157 (0.276)	Data 0.104 (0.212)	Loss 5.0638 (5.0064)	Prec@1 5.469 (4.708)	Prec@5 19.531 (16.079)
Epoch: [17][6180/7045]	Time 0.444 (0.276)	Data 0.393 (0.212)	Loss 5.1482 (5.0065)	Prec@1 3.125 (4.707)	Prec@5 14.062 (16.076)
Epoch: [17][6190/7045]	Time 0.102 (0.276)	Data 0.001 (0.212)	Loss 4.9216 (5.0064)	Prec@1 5.078 (4.707)	Prec@5 16.406 (16.074)
Epoch: [17][6200/7045]	Time 0.623 (0.276)	Data 0.572 (0.212)	Loss 5.0007 (5.0064)	Prec@1 6.250 (4.708)	Prec@5 14.844 (16.073)
Epoch: [17][6210/7045]	Time 0.134 (0.276)	Data 0.082 (0.212)	Loss 5.0120 (5.0064)	Prec@1 4.688 (4.708)	Prec@5 19.141 (16.074)
Epoch: [17][6220/7045]	Time 0.301 (0.276)	Data 0.241 (0.212)	Loss 4.9358 (5.0064)	Prec@1 5.859 (4.709)	Prec@5 18.359 (16.073)
Epoch: [17][6230/7045]	Time 0.102 (0.276)	Data 0.021 (0.212)	Loss 4.9914 (5.0064)	Prec@1 5.469 (4.708)	Prec@5 14.062 (16.072)
Epoch: [17][6240/7045]	Time 0.359 (0.276)	Data 0.307 (0.212)	Loss 4.7490 (5.0064)	Prec@1 7.422 (4.708)	Prec@5 19.922 (16.073)
Epoch: [17][6250/7045]	Time 0.101 (0.276)	Data 0.018 (0.212)	Loss 4.9726 (5.0063)	Prec@1 4.688 (4.709)	Prec@5 16.016 (16.074)
Epoch: [17][6260/7045]	Time 0.103 (0.276)	Data 0.001 (0.212)	Loss 4.8717 (5.0062)	Prec@1 7.422 (4.710)	Prec@5 18.359 (16.075)
Epoch: [17][6270/7045]	Time 0.300 (0.276)	Data 0.248 (0.212)	Loss 4.9688 (5.0062)	Prec@1 5.859 (4.711)	Prec@5 15.234 (16.077)
Epoch: [17][6280/7045]	Time 0.280 (0.276)	Data 0.228 (0.212)	Loss 5.0034 (5.0062)	Prec@1 4.297 (4.711)	Prec@5 16.406 (16.077)
Epoch: [17][6290/7045]	Time 0.220 (0.276)	Data 0.170 (0.212)	Loss 5.0097 (5.0060)	Prec@1 5.078 (4.712)	Prec@5 14.844 (16.080)
Epoch: [17][6300/7045]	Time 0.192 (0.277)	Data 0.141 (0.212)	Loss 4.9825 (5.0060)	Prec@1 3.125 (4.712)	Prec@5 16.406 (16.079)
Epoch: [17][6310/7045]	Time 0.184 (0.276)	Data 0.133 (0.212)	Loss 5.1936 (5.0061)	Prec@1 3.906 (4.712)	Prec@5 11.719 (16.078)
Epoch: [17][6320/7045]	Time 0.398 (0.276)	Data 0.345 (0.212)	Loss 5.0928 (5.0061)	Prec@1 6.250 (4.712)	Prec@5 14.844 (16.078)
Epoch: [17][6330/7045]	Time 0.101 (0.276)	Data 0.015 (0.212)	Loss 5.1275 (5.0062)	Prec@1 4.297 (4.710)	Prec@5 12.500 (16.074)
Epoch: [17][6340/7045]	Time 0.374 (0.276)	Data 0.321 (0.212)	Loss 4.9761 (5.0062)	Prec@1 6.250 (4.710)	Prec@5 17.188 (16.075)
Epoch: [17][6350/7045]	Time 0.102 (0.276)	Data 0.027 (0.212)	Loss 4.9229 (5.0063)	Prec@1 5.859 (4.710)	Prec@5 15.234 (16.075)
Epoch: [17][6360/7045]	Time 0.101 (0.276)	Data 0.016 (0.212)	Loss 5.0958 (5.0063)	Prec@1 4.688 (4.711)	Prec@5 13.281 (16.075)
Epoch: [17][6370/7045]	Time 0.101 (0.277)	Data 0.007 (0.212)	Loss 4.8634 (5.0063)	Prec@1 5.078 (4.711)	Prec@5 18.750 (16.075)
Epoch: [17][6380/7045]	Time 0.101 (0.277)	Data 0.006 (0.212)	Loss 4.9794 (5.0062)	Prec@1 5.469 (4.711)	Prec@5 16.406 (16.078)
Epoch: [17][6390/7045]	Time 0.112 (0.276)	Data 0.061 (0.212)	Loss 4.9772 (5.0062)	Prec@1 4.688 (4.710)	Prec@5 15.234 (16.077)
Epoch: [17][6400/7045]	Time 0.101 (0.277)	Data 0.005 (0.212)	Loss 4.9926 (5.0062)	Prec@1 4.297 (4.711)	Prec@5 15.625 (16.079)
Epoch: [17][6410/7045]	Time 0.224 (0.276)	Data 0.173 (0.212)	Loss 4.9275 (5.0061)	Prec@1 5.859 (4.711)	Prec@5 18.750 (16.080)
Epoch: [17][6420/7045]	Time 0.112 (0.276)	Data 0.061 (0.212)	Loss 4.9971 (5.0061)	Prec@1 5.859 (4.712)	Prec@5 16.797 (16.081)
Epoch: [17][6430/7045]	Time 0.101 (0.276)	Data 0.013 (0.212)	Loss 5.0136 (5.0061)	Prec@1 3.906 (4.711)	Prec@5 13.672 (16.079)
Epoch: [17][6440/7045]	Time 0.101 (0.277)	Data 0.013 (0.212)	Loss 5.0127 (5.0061)	Prec@1 5.469 (4.711)	Prec@5 14.453 (16.079)
Epoch: [17][6450/7045]	Time 0.306 (0.277)	Data 0.255 (0.212)	Loss 5.0620 (5.0061)	Prec@1 6.250 (4.711)	Prec@5 17.188 (16.079)
Epoch: [17][6460/7045]	Time 0.101 (0.277)	Data 0.045 (0.212)	Loss 4.9178 (5.0061)	Prec@1 3.516 (4.710)	Prec@5 17.578 (16.078)
Epoch: [17][6470/7045]	Time 0.219 (0.277)	Data 0.168 (0.212)	Loss 4.9107 (5.0061)	Prec@1 3.906 (4.710)	Prec@5 17.969 (16.079)
Epoch: [17][6480/7045]	Time 0.323 (0.277)	Data 0.272 (0.212)	Loss 4.9551 (5.0060)	Prec@1 6.641 (4.711)	Prec@5 18.750 (16.083)
Epoch: [17][6490/7045]	Time 0.276 (0.277)	Data 0.216 (0.212)	Loss 5.0580 (5.0060)	Prec@1 4.297 (4.711)	Prec@5 14.453 (16.082)
Epoch: [17][6500/7045]	Time 0.109 (0.276)	Data 0.058 (0.212)	Loss 4.9654 (5.0059)	Prec@1 5.078 (4.711)	Prec@5 14.453 (16.082)
Epoch: [17][6510/7045]	Time 0.111 (0.277)	Data 0.059 (0.212)	Loss 4.9052 (5.0059)	Prec@1 5.469 (4.712)	Prec@5 17.578 (16.083)
Epoch: [17][6520/7045]	Time 0.101 (0.277)	Data 0.001 (0.212)	Loss 5.0383 (5.0059)	Prec@1 4.297 (4.713)	Prec@5 15.234 (16.082)
Epoch: [17][6530/7045]	Time 0.198 (0.277)	Data 0.147 (0.212)	Loss 5.0011 (5.0058)	Prec@1 3.125 (4.713)	Prec@5 12.500 (16.083)
Epoch: [17][6540/7045]	Time 0.397 (0.277)	Data 0.346 (0.212)	Loss 4.9649 (5.0057)	Prec@1 5.469 (4.713)	Prec@5 18.750 (16.084)
Epoch: [17][6550/7045]	Time 0.256 (0.277)	Data 0.204 (0.212)	Loss 5.0622 (5.0058)	Prec@1 3.125 (4.712)	Prec@5 14.453 (16.083)
Epoch: [17][6560/7045]	Time 0.505 (0.277)	Data 0.455 (0.212)	Loss 5.1501 (5.0058)	Prec@1 1.953 (4.711)	Prec@5 14.844 (16.081)
Epoch: [17][6570/7045]	Time 0.111 (0.277)	Data 0.006 (0.212)	Loss 4.9508 (5.0058)	Prec@1 5.078 (4.711)	Prec@5 17.188 (16.080)
Epoch: [17][6580/7045]	Time 0.185 (0.277)	Data 0.133 (0.213)	Loss 4.9586 (5.0058)	Prec@1 3.906 (4.711)	Prec@5 16.797 (16.081)
Epoch: [17][6590/7045]	Time 0.130 (0.277)	Data 0.078 (0.212)	Loss 4.9790 (5.0057)	Prec@1 5.078 (4.711)	Prec@5 16.797 (16.081)
Epoch: [17][6600/7045]	Time 0.101 (0.277)	Data 0.001 (0.212)	Loss 4.9821 (5.0057)	Prec@1 1.953 (4.711)	Prec@5 19.141 (16.082)
Epoch: [17][6610/7045]	Time 0.176 (0.277)	Data 0.125 (0.212)	Loss 5.1610 (5.0057)	Prec@1 3.516 (4.712)	Prec@5 14.062 (16.083)
Epoch: [17][6620/7045]	Time 0.223 (0.277)	Data 0.170 (0.212)	Loss 5.0230 (5.0056)	Prec@1 5.859 (4.713)	Prec@5 17.578 (16.084)
Epoch: [17][6630/7045]	Time 0.184 (0.277)	Data 0.134 (0.213)	Loss 4.8236 (5.0055)	Prec@1 6.641 (4.714)	Prec@5 19.531 (16.087)
Epoch: [17][6640/7045]	Time 0.277 (0.277)	Data 0.226 (0.213)	Loss 4.9865 (5.0055)	Prec@1 3.906 (4.714)	Prec@5 15.625 (16.087)
Epoch: [17][6650/7045]	Time 0.215 (0.277)	Data 0.164 (0.213)	Loss 4.9640 (5.0054)	Prec@1 4.688 (4.713)	Prec@5 15.625 (16.088)
Epoch: [17][6660/7045]	Time 0.457 (0.277)	Data 0.405 (0.213)	Loss 5.0634 (5.0055)	Prec@1 2.734 (4.713)	Prec@5 14.453 (16.087)
Epoch: [17][6670/7045]	Time 0.101 (0.277)	Data 0.001 (0.213)	Loss 4.9360 (5.0054)	Prec@1 4.688 (4.713)	Prec@5 14.453 (16.087)
Epoch: [17][6680/7045]	Time 0.333 (0.277)	Data 0.281 (0.213)	Loss 5.1259 (5.0054)	Prec@1 3.906 (4.715)	Prec@5 17.188 (16.088)
Epoch: [17][6690/7045]	Time 0.102 (0.277)	Data 0.001 (0.213)	Loss 4.9058 (5.0054)	Prec@1 6.250 (4.715)	Prec@5 16.016 (16.090)
Epoch: [17][6700/7045]	Time 0.224 (0.277)	Data 0.174 (0.213)	Loss 4.9342 (5.0054)	Prec@1 3.516 (4.714)	Prec@5 15.234 (16.090)
Epoch: [17][6710/7045]	Time 0.111 (0.277)	Data 0.058 (0.213)	Loss 5.1385 (5.0054)	Prec@1 2.734 (4.713)	Prec@5 13.672 (16.091)
Epoch: [17][6720/7045]	Time 0.101 (0.277)	Data 0.002 (0.213)	Loss 4.9639 (5.0054)	Prec@1 4.297 (4.713)	Prec@5 19.141 (16.092)
Epoch: [17][6730/7045]	Time 0.205 (0.277)	Data 0.153 (0.212)	Loss 5.0300 (5.0053)	Prec@1 3.906 (4.714)	Prec@5 16.016 (16.093)
Epoch: [17][6740/7045]	Time 0.101 (0.277)	Data 0.008 (0.212)	Loss 4.8428 (5.0052)	Prec@1 5.078 (4.714)	Prec@5 19.922 (16.094)
Epoch: [17][6750/7045]	Time 0.111 (0.277)	Data 0.053 (0.212)	Loss 4.9861 (5.0052)	Prec@1 5.078 (4.715)	Prec@5 15.234 (16.095)
Epoch: [17][6760/7045]	Time 0.164 (0.277)	Data 0.105 (0.212)	Loss 4.9006 (5.0051)	Prec@1 6.641 (4.715)	Prec@5 23.438 (16.096)
Epoch: [17][6770/7045]	Time 0.165 (0.277)	Data 0.112 (0.212)	Loss 4.9633 (5.0050)	Prec@1 4.688 (4.717)	Prec@5 19.531 (16.099)
Epoch: [17][6780/7045]	Time 0.103 (0.277)	Data 0.045 (0.213)	Loss 5.0377 (5.0050)	Prec@1 5.078 (4.716)	Prec@5 17.578 (16.099)
Epoch: [17][6790/7045]	Time 0.102 (0.277)	Data 0.001 (0.212)	Loss 5.0387 (5.0050)	Prec@1 3.516 (4.715)	Prec@5 14.844 (16.101)
Epoch: [17][6800/7045]	Time 0.159 (0.277)	Data 0.107 (0.212)	Loss 4.8988 (5.0050)	Prec@1 5.078 (4.715)	Prec@5 16.016 (16.100)
Epoch: [17][6810/7045]	Time 0.118 (0.277)	Data 0.066 (0.212)	Loss 5.1321 (5.0050)	Prec@1 4.297 (4.714)	Prec@5 16.016 (16.100)
Epoch: [17][6820/7045]	Time 0.102 (0.277)	Data 0.001 (0.212)	Loss 4.9199 (5.0050)	Prec@1 6.641 (4.715)	Prec@5 19.141 (16.101)
Epoch: [17][6830/7045]	Time 0.108 (0.277)	Data 0.056 (0.212)	Loss 4.8609 (5.0049)	Prec@1 3.906 (4.714)	Prec@5 18.750 (16.102)
Epoch: [17][6840/7045]	Time 0.102 (0.277)	Data 0.026 (0.212)	Loss 5.0035 (5.0050)	Prec@1 4.297 (4.714)	Prec@5 15.234 (16.102)
Epoch: [17][6850/7045]	Time 0.102 (0.277)	Data 0.016 (0.212)	Loss 4.9915 (5.0050)	Prec@1 5.078 (4.713)	Prec@5 16.797 (16.101)
Epoch: [17][6860/7045]	Time 0.101 (0.277)	Data 0.001 (0.212)	Loss 5.1171 (5.0051)	Prec@1 2.734 (4.712)	Prec@5 13.281 (16.097)
Epoch: [17][6870/7045]	Time 0.101 (0.277)	Data 0.001 (0.212)	Loss 5.0651 (5.0052)	Prec@1 3.516 (4.712)	Prec@5 14.453 (16.097)
Epoch: [17][6880/7045]	Time 0.102 (0.277)	Data 0.005 (0.212)	Loss 4.9371 (5.0052)	Prec@1 4.688 (4.710)	Prec@5 17.969 (16.096)
Epoch: [17][6890/7045]	Time 0.309 (0.277)	Data 0.258 (0.212)	Loss 5.0864 (5.0051)	Prec@1 2.734 (4.710)	Prec@5 9.766 (16.097)
Epoch: [17][6900/7045]	Time 2.147 (0.277)	Data 2.095 (0.212)	Loss 4.9702 (5.0051)	Prec@1 5.469 (4.710)	Prec@5 18.359 (16.099)
Epoch: [17][6910/7045]	Time 0.411 (0.277)	Data 0.349 (0.212)	Loss 5.0359 (5.0051)	Prec@1 4.688 (4.710)	Prec@5 18.359 (16.100)
Epoch: [17][6920/7045]	Time 0.417 (0.277)	Data 0.355 (0.212)	Loss 4.9991 (5.0050)	Prec@1 6.250 (4.711)	Prec@5 15.625 (16.100)
Epoch: [17][6930/7045]	Time 0.419 (0.277)	Data 0.369 (0.212)	Loss 4.9404 (5.0050)	Prec@1 3.906 (4.712)	Prec@5 14.062 (16.101)
Epoch: [17][6940/7045]	Time 0.239 (0.277)	Data 0.188 (0.212)	Loss 4.9399 (5.0050)	Prec@1 3.516 (4.714)	Prec@5 15.625 (16.102)
Epoch: [17][6950/7045]	Time 0.556 (0.277)	Data 0.505 (0.212)	Loss 4.9507 (5.0050)	Prec@1 5.078 (4.713)	Prec@5 14.844 (16.101)
Epoch: [17][6960/7045]	Time 0.248 (0.277)	Data 0.197 (0.212)	Loss 4.9650 (5.0051)	Prec@1 4.688 (4.713)	Prec@5 17.188 (16.099)
Epoch: [17][6970/7045]	Time 0.755 (0.277)	Data 0.704 (0.212)	Loss 4.8566 (5.0051)	Prec@1 3.906 (4.711)	Prec@5 14.844 (16.098)
Epoch: [17][6980/7045]	Time 0.118 (0.277)	Data 0.067 (0.212)	Loss 4.8485 (5.0051)	Prec@1 5.078 (4.710)	Prec@5 13.281 (16.097)
Epoch: [17][6990/7045]	Time 0.598 (0.277)	Data 0.546 (0.212)	Loss 4.9022 (5.0051)	Prec@1 7.422 (4.710)	Prec@5 17.578 (16.098)
Epoch: [17][7000/7045]	Time 0.102 (0.277)	Data 0.001 (0.212)	Loss 5.0794 (5.0051)	Prec@1 2.344 (4.709)	Prec@5 14.453 (16.099)
Epoch: [17][7010/7045]	Time 0.364 (0.277)	Data 0.312 (0.212)	Loss 5.0107 (5.0051)	Prec@1 5.078 (4.709)	Prec@5 16.016 (16.099)
Epoch: [17][7020/7045]	Time 0.100 (0.277)	Data 0.001 (0.212)	Loss 5.1455 (5.0052)	Prec@1 3.125 (4.708)	Prec@5 14.453 (16.096)
Epoch: [17][7030/7045]	Time 0.568 (0.277)	Data 0.510 (0.212)	Loss 5.1219 (5.0052)	Prec@1 5.078 (4.707)	Prec@5 14.844 (16.094)
Epoch: [17][7040/7045]	Time 0.372 (0.277)	Data 0.321 (0.212)	Loss 5.0321 (5.0052)	Prec@1 2.734 (4.707)	Prec@5 16.016 (16.094)
Test: [0/143]	Time 1.348 (1.348)	Loss 4.8513 (4.8513)	Prec@1 10.156 (10.156)	Prec@5 20.703 (20.703)
Test: [10/143]	Time 0.048 (0.269)	Loss 4.8120 (4.9176)	Prec@1 5.859 (3.977)	Prec@5 21.875 (17.259)
Test: [20/143]	Time 0.230 (0.233)	Loss 4.9497 (4.8610)	Prec@1 2.734 (5.450)	Prec@5 14.844 (19.847)
Test: [30/143]	Time 0.048 (0.220)	Loss 5.2309 (4.8499)	Prec@1 1.172 (5.607)	Prec@5 10.156 (19.909)
Test: [40/143]	Time 0.132 (0.209)	Loss 4.9438 (4.8412)	Prec@1 0.391 (6.050)	Prec@5 8.203 (20.046)
Test: [50/143]	Time 0.142 (0.208)	Loss 4.5509 (4.8567)	Prec@1 14.062 (5.913)	Prec@5 31.641 (19.278)
Test: [60/143]	Time 0.066 (0.200)	Loss 5.0553 (4.8189)	Prec@1 0.781 (6.525)	Prec@5 9.375 (20.690)
Test: [70/143]	Time 0.178 (0.201)	Loss 5.2549 (4.8156)	Prec@1 0.000 (6.437)	Prec@5 1.562 (20.505)
Test: [80/143]	Time 0.062 (0.196)	Loss 4.5732 (4.8237)	Prec@1 7.031 (6.129)	Prec@5 23.438 (20.308)
Test: [90/143]	Time 0.253 (0.197)	Loss 4.8283 (4.8274)	Prec@1 2.344 (6.121)	Prec@5 12.891 (20.184)
Test: [100/143]	Time 0.048 (0.194)	Loss 4.0311 (4.8111)	Prec@1 22.266 (6.351)	Prec@5 50.781 (20.599)
Test: [110/143]	Time 0.425 (0.194)	Loss 4.6575 (4.7989)	Prec@1 13.672 (6.620)	Prec@5 28.125 (20.999)
Test: [120/143]	Time 0.048 (0.192)	Loss 4.5499 (4.7901)	Prec@1 6.250 (6.776)	Prec@5 30.078 (21.355)
Test: [130/143]	Time 0.266 (0.192)	Loss 4.5518 (4.7916)	Prec@1 9.766 (6.831)	Prec@5 25.391 (21.317)
Test: [140/143]	Time 0.205 (0.190)	Loss 4.9473 (4.8004)	Prec@1 1.562 (6.707)	Prec@5 15.625 (21.182)
 * Prec@1 6.734 Prec@5 21.252
Epoch: [18][0/7045]	Time 2.331 (2.331)	Data 2.266 (2.266)	Loss 5.1648 (5.1648)	Prec@1 2.344 (2.344)	Prec@5 14.844 (14.844)
Epoch: [18][10/7045]	Time 0.102 (0.429)	Data 0.001 (0.358)	Loss 5.1083 (5.0398)	Prec@1 3.516 (4.403)	Prec@5 12.109 (15.518)
Epoch: [18][20/7045]	Time 0.707 (0.367)	Data 0.655 (0.295)	Loss 4.8978 (4.9914)	Prec@1 6.641 (4.594)	Prec@5 16.016 (15.923)
Epoch: [18][30/7045]	Time 0.109 (0.326)	Data 0.057 (0.254)	Loss 4.7917 (4.9705)	Prec@1 5.859 (4.801)	Prec@5 20.703 (16.457)
Epoch: [18][40/7045]	Time 0.786 (0.315)	Data 0.736 (0.240)	Loss 5.0160 (4.9751)	Prec@1 4.297 (4.859)	Prec@5 16.797 (16.702)
Epoch: [18][50/7045]	Time 0.130 (0.298)	Data 0.080 (0.224)	Loss 5.2113 (4.9779)	Prec@1 2.734 (4.879)	Prec@5 10.156 (16.605)
Epoch: [18][60/7045]	Time 0.825 (0.298)	Data 0.774 (0.225)	Loss 4.8988 (4.9763)	Prec@1 4.688 (5.033)	Prec@5 19.531 (16.688)
Epoch: [18][70/7045]	Time 0.101 (0.301)	Data 0.009 (0.226)	Loss 5.0004 (4.9804)	Prec@1 3.516 (4.985)	Prec@5 16.406 (16.626)
Epoch: [18][80/7045]	Time 0.568 (0.299)	Data 0.518 (0.224)	Loss 4.9935 (4.9753)	Prec@1 3.516 (5.097)	Prec@5 16.797 (16.782)
Epoch: [18][90/7045]	Time 0.099 (0.292)	Data 0.001 (0.218)	Loss 5.0524 (4.9783)	Prec@1 2.344 (5.014)	Prec@5 17.578 (16.857)
Epoch: [18][100/7045]	Time 0.731 (0.291)	Data 0.681 (0.217)	Loss 4.9793 (4.9762)	Prec@1 3.516 (5.009)	Prec@5 18.750 (16.843)
Epoch: [18][110/7045]	Time 0.154 (0.286)	Data 0.103 (0.212)	Loss 4.8422 (4.9737)	Prec@1 5.859 (5.008)	Prec@5 18.359 (16.790)
Epoch: [18][120/7045]	Time 0.332 (0.284)	Data 0.281 (0.210)	Loss 5.0945 (4.9703)	Prec@1 1.953 (4.975)	Prec@5 12.109 (16.842)
Epoch: [18][130/7045]	Time 0.415 (0.281)	Data 0.364 (0.209)	Loss 4.9276 (4.9697)	Prec@1 3.906 (4.929)	Prec@5 14.844 (16.812)
Epoch: [18][140/7045]	Time 0.106 (0.278)	Data 0.010 (0.207)	Loss 5.0859 (4.9690)	Prec@1 2.734 (4.912)	Prec@5 11.328 (16.780)
Epoch: [18][150/7045]	Time 0.663 (0.279)	Data 0.610 (0.208)	Loss 5.0861 (4.9701)	Prec@1 1.953 (4.905)	Prec@5 15.234 (16.776)
Epoch: [18][160/7045]	Time 0.104 (0.275)	Data 0.011 (0.204)	Loss 4.8440 (4.9716)	Prec@1 3.516 (4.918)	Prec@5 18.359 (16.734)
Epoch: [18][170/7045]	Time 0.173 (0.282)	Data 0.122 (0.211)	Loss 4.9217 (4.9744)	Prec@1 5.859 (4.907)	Prec@5 18.359 (16.660)
Epoch: [18][180/7045]	Time 0.199 (0.279)	Data 0.149 (0.209)	Loss 5.1703 (4.9783)	Prec@1 3.516 (4.882)	Prec@5 14.844 (16.616)
Epoch: [18][190/7045]	Time 0.131 (0.279)	Data 0.080 (0.210)	Loss 4.8998 (4.9790)	Prec@1 4.297 (4.855)	Prec@5 16.797 (16.594)
Epoch: [18][200/7045]	Time 0.285 (0.278)	Data 0.234 (0.208)	Loss 4.8850 (4.9783)	Prec@1 7.031 (4.868)	Prec@5 19.531 (16.653)
Epoch: [18][210/7045]	Time 0.101 (0.277)	Data 0.001 (0.207)	Loss 5.0710 (4.9807)	Prec@1 4.688 (4.836)	Prec@5 13.281 (16.627)
Epoch: [18][220/7045]	Time 0.517 (0.277)	Data 0.466 (0.208)	Loss 5.0861 (4.9824)	Prec@1 3.125 (4.802)	Prec@5 16.406 (16.546)
Epoch: [18][230/7045]	Time 0.260 (0.277)	Data 0.207 (0.207)	Loss 4.8915 (4.9839)	Prec@1 6.641 (4.819)	Prec@5 18.750 (16.547)
Epoch: [18][240/7045]	Time 0.635 (0.284)	Data 0.577 (0.214)	Loss 5.0241 (4.9844)	Prec@1 4.688 (4.824)	Prec@5 15.625 (16.523)
Epoch: [18][250/7045]	Time 0.215 (0.282)	Data 0.164 (0.213)	Loss 4.9540 (4.9846)	Prec@1 5.469 (4.849)	Prec@5 20.312 (16.493)
Epoch: [18][260/7045]	Time 0.379 (0.282)	Data 0.328 (0.213)	Loss 5.0781 (4.9827)	Prec@1 4.297 (4.860)	Prec@5 15.625 (16.524)
Epoch: [18][270/7045]	Time 0.242 (0.281)	Data 0.192 (0.212)	Loss 4.9297 (4.9839)	Prec@1 5.469 (4.855)	Prec@5 14.062 (16.510)
Epoch: [18][280/7045]	Time 0.317 (0.280)	Data 0.265 (0.212)	Loss 4.9813 (4.9839)	Prec@1 3.125 (4.835)	Prec@5 14.844 (16.473)
Epoch: [18][290/7045]	Time 0.410 (0.280)	Data 0.350 (0.212)	Loss 5.0489 (4.9851)	Prec@1 3.125 (4.811)	Prec@5 14.062 (16.468)
Epoch: [18][300/7045]	Time 0.108 (0.278)	Data 0.046 (0.211)	Loss 5.1387 (4.9857)	Prec@1 4.688 (4.791)	Prec@5 14.844 (16.456)
Epoch: [18][310/7045]	Time 0.596 (0.279)	Data 0.544 (0.211)	Loss 4.9391 (4.9862)	Prec@1 4.688 (4.783)	Prec@5 18.750 (16.454)
Epoch: [18][320/7045]	Time 0.100 (0.277)	Data 0.009 (0.209)	Loss 4.9304 (4.9870)	Prec@1 3.906 (4.782)	Prec@5 19.922 (16.457)
Epoch: [18][330/7045]	Time 0.532 (0.277)	Data 0.472 (0.209)	Loss 5.0084 (4.9868)	Prec@1 6.641 (4.787)	Prec@5 16.797 (16.459)
Epoch: [18][340/7045]	Time 0.104 (0.275)	Data 0.052 (0.208)	Loss 4.9539 (4.9867)	Prec@1 5.859 (4.800)	Prec@5 15.625 (16.461)
Epoch: [18][350/7045]	Time 0.102 (0.276)	Data 0.001 (0.208)	Loss 4.8999 (4.9860)	Prec@1 5.859 (4.815)	Prec@5 17.578 (16.481)
Epoch: [18][360/7045]	Time 0.104 (0.274)	Data 0.052 (0.207)	Loss 5.1175 (4.9867)	Prec@1 4.297 (4.827)	Prec@5 14.062 (16.480)
Epoch: [18][370/7045]	Time 0.365 (0.275)	Data 0.315 (0.207)	Loss 5.0187 (4.9862)	Prec@1 3.516 (4.839)	Prec@5 14.844 (16.492)
Epoch: [18][380/7045]	Time 0.102 (0.274)	Data 0.001 (0.207)	Loss 5.0958 (4.9865)	Prec@1 4.688 (4.838)	Prec@5 17.969 (16.481)
Epoch: [18][390/7045]	Time 0.492 (0.274)	Data 0.440 (0.206)	Loss 4.8879 (4.9873)	Prec@1 6.641 (4.838)	Prec@5 21.094 (16.465)
Epoch: [18][400/7045]	Time 0.246 (0.273)	Data 0.195 (0.206)	Loss 5.0432 (4.9873)	Prec@1 4.297 (4.849)	Prec@5 14.062 (16.466)
Epoch: [18][410/7045]	Time 0.170 (0.272)	Data 0.119 (0.205)	Loss 5.0132 (4.9855)	Prec@1 3.516 (4.849)	Prec@5 16.797 (16.494)
Epoch: [18][420/7045]	Time 0.397 (0.272)	Data 0.346 (0.205)	Loss 5.0822 (4.9875)	Prec@1 3.516 (4.834)	Prec@5 13.672 (16.452)
Epoch: [18][430/7045]	Time 0.101 (0.272)	Data 0.001 (0.205)	Loss 4.8202 (4.9871)	Prec@1 8.203 (4.839)	Prec@5 21.094 (16.475)
Epoch: [18][440/7045]	Time 0.334 (0.271)	Data 0.283 (0.205)	Loss 5.0412 (4.9862)	Prec@1 4.688 (4.852)	Prec@5 16.406 (16.480)
Epoch: [18][450/7045]	Time 0.511 (0.273)	Data 0.460 (0.206)	Loss 4.9832 (4.9855)	Prec@1 4.688 (4.859)	Prec@5 17.969 (16.475)
Epoch: [18][460/7045]	Time 0.197 (0.272)	Data 0.147 (0.205)	Loss 5.0531 (4.9850)	Prec@1 5.469 (4.870)	Prec@5 15.234 (16.505)
Epoch: [18][470/7045]	Time 0.227 (0.272)	Data 0.175 (0.205)	Loss 4.9642 (4.9848)	Prec@1 5.078 (4.872)	Prec@5 17.188 (16.497)
Epoch: [18][480/7045]	Time 0.102 (0.272)	Data 0.001 (0.205)	Loss 5.0461 (4.9848)	Prec@1 5.859 (4.878)	Prec@5 16.016 (16.496)
Epoch: [18][490/7045]	Time 0.186 (0.271)	Data 0.135 (0.204)	Loss 5.0293 (4.9842)	Prec@1 1.953 (4.879)	Prec@5 16.406 (16.505)
Epoch: [18][500/7045]	Time 0.110 (0.271)	Data 0.059 (0.204)	Loss 4.8893 (4.9846)	Prec@1 5.859 (4.886)	Prec@5 17.969 (16.508)
Epoch: [18][510/7045]	Time 0.429 (0.271)	Data 0.378 (0.204)	Loss 4.9494 (4.9857)	Prec@1 9.375 (4.883)	Prec@5 17.969 (16.501)
Epoch: [18][520/7045]	Time 0.180 (0.270)	Data 0.129 (0.203)	Loss 5.0377 (4.9869)	Prec@1 2.734 (4.876)	Prec@5 12.891 (16.497)
Epoch: [18][530/7045]	Time 0.554 (0.270)	Data 0.505 (0.203)	Loss 4.9396 (4.9877)	Prec@1 6.250 (4.880)	Prec@5 17.188 (16.503)
Epoch: [18][540/7045]	Time 0.207 (0.270)	Data 0.156 (0.203)	Loss 5.0349 (4.9875)	Prec@1 4.688 (4.877)	Prec@5 15.234 (16.494)
Epoch: [18][550/7045]	Time 0.103 (0.269)	Data 0.004 (0.203)	Loss 4.9040 (4.9871)	Prec@1 4.688 (4.882)	Prec@5 17.969 (16.518)
Epoch: [18][560/7045]	Time 0.103 (0.269)	Data 0.051 (0.203)	Loss 5.0340 (4.9884)	Prec@1 5.469 (4.875)	Prec@5 17.188 (16.494)
Epoch: [18][570/7045]	Time 0.104 (0.268)	Data 0.052 (0.202)	Loss 4.9721 (4.9898)	Prec@1 4.297 (4.852)	Prec@5 15.234 (16.462)
Epoch: [18][580/7045]	Time 0.101 (0.268)	Data 0.014 (0.202)	Loss 4.9049 (4.9897)	Prec@1 6.641 (4.854)	Prec@5 18.359 (16.469)
Epoch: [18][590/7045]	Time 0.097 (0.268)	Data 0.001 (0.202)	Loss 4.9113 (4.9895)	Prec@1 6.250 (4.845)	Prec@5 19.141 (16.479)
Epoch: [18][600/7045]	Time 0.314 (0.268)	Data 0.263 (0.202)	Loss 4.9834 (4.9890)	Prec@1 6.641 (4.862)	Prec@5 15.234 (16.512)
Epoch: [18][610/7045]	Time 0.157 (0.268)	Data 0.106 (0.201)	Loss 5.0222 (4.9891)	Prec@1 4.688 (4.865)	Prec@5 12.891 (16.489)
Epoch: [18][620/7045]	Time 0.101 (0.268)	Data 0.044 (0.202)	Loss 4.8886 (4.9885)	Prec@1 6.250 (4.858)	Prec@5 19.531 (16.475)
Epoch: [18][630/7045]	Time 0.103 (0.267)	Data 0.001 (0.201)	Loss 4.9631 (4.9881)	Prec@1 3.906 (4.860)	Prec@5 17.578 (16.468)
Epoch: [18][640/7045]	Time 0.293 (0.269)	Data 0.243 (0.202)	Loss 4.8778 (4.9882)	Prec@1 7.422 (4.866)	Prec@5 19.141 (16.462)
Epoch: [18][650/7045]	Time 0.399 (0.268)	Data 0.348 (0.202)	Loss 4.9295 (4.9892)	Prec@1 5.078 (4.861)	Prec@5 16.406 (16.452)
Epoch: [18][660/7045]	Time 0.172 (0.268)	Data 0.120 (0.202)	Loss 4.9171 (4.9884)	Prec@1 3.906 (4.860)	Prec@5 15.234 (16.456)
Epoch: [18][670/7045]	Time 0.133 (0.267)	Data 0.081 (0.202)	Loss 4.9459 (4.9881)	Prec@1 4.688 (4.862)	Prec@5 16.797 (16.449)
Epoch: [18][680/7045]	Time 0.110 (0.267)	Data 0.058 (0.201)	Loss 4.9591 (4.9876)	Prec@1 4.688 (4.867)	Prec@5 14.844 (16.457)
Epoch: [18][690/7045]	Time 0.410 (0.267)	Data 0.358 (0.202)	Loss 4.9398 (4.9883)	Prec@1 7.422 (4.862)	Prec@5 19.141 (16.444)
Epoch: [18][700/7045]	Time 0.357 (0.267)	Data 0.307 (0.202)	Loss 4.9670 (4.9879)	Prec@1 5.469 (4.865)	Prec@5 15.625 (16.449)
Epoch: [18][710/7045]	Time 0.307 (0.267)	Data 0.257 (0.202)	Loss 4.8688 (4.9881)	Prec@1 7.422 (4.872)	Prec@5 20.703 (16.453)
Epoch: [18][720/7045]	Time 0.184 (0.267)	Data 0.134 (0.201)	Loss 4.9965 (4.9879)	Prec@1 4.297 (4.874)	Prec@5 13.281 (16.447)
Epoch: [18][730/7045]	Time 0.109 (0.267)	Data 0.012 (0.201)	Loss 4.9626 (4.9880)	Prec@1 3.906 (4.873)	Prec@5 16.797 (16.447)
Epoch: [18][740/7045]	Time 0.102 (0.266)	Data 0.001 (0.201)	Loss 5.0024 (4.9882)	Prec@1 4.297 (4.859)	Prec@5 13.281 (16.436)
Epoch: [18][750/7045]	Time 0.251 (0.267)	Data 0.201 (0.201)	Loss 5.1173 (4.9883)	Prec@1 2.344 (4.862)	Prec@5 12.500 (16.427)
Epoch: [18][760/7045]	Time 0.129 (0.266)	Data 0.079 (0.200)	Loss 4.9379 (4.9879)	Prec@1 5.078 (4.872)	Prec@5 15.234 (16.442)
Epoch: [18][770/7045]	Time 0.405 (0.266)	Data 0.354 (0.200)	Loss 5.0106 (4.9877)	Prec@1 5.469 (4.873)	Prec@5 16.406 (16.437)
Epoch: [18][780/7045]	Time 0.156 (0.266)	Data 0.095 (0.200)	Loss 5.1167 (4.9873)	Prec@1 5.078 (4.882)	Prec@5 12.109 (16.446)
Epoch: [18][790/7045]	Time 0.485 (0.266)	Data 0.435 (0.200)	Loss 4.9236 (4.9868)	Prec@1 6.250 (4.884)	Prec@5 16.406 (16.460)
Epoch: [18][800/7045]	Time 0.125 (0.265)	Data 0.073 (0.200)	Loss 4.9423 (4.9872)	Prec@1 5.078 (4.874)	Prec@5 14.844 (16.447)
Epoch: [18][810/7045]	Time 0.406 (0.265)	Data 0.355 (0.200)	Loss 5.0176 (4.9884)	Prec@1 4.297 (4.868)	Prec@5 12.500 (16.413)
Epoch: [18][820/7045]	Time 0.416 (0.265)	Data 0.358 (0.200)	Loss 4.8540 (4.9889)	Prec@1 7.422 (4.872)	Prec@5 17.969 (16.413)
Epoch: [18][830/7045]	Time 0.373 (0.265)	Data 0.321 (0.200)	Loss 4.9771 (4.9886)	Prec@1 4.688 (4.877)	Prec@5 14.844 (16.428)
Epoch: [18][840/7045]	Time 0.411 (0.265)	Data 0.360 (0.200)	Loss 5.0890 (4.9890)	Prec@1 3.125 (4.874)	Prec@5 14.844 (16.425)
Epoch: [18][850/7045]	Time 0.437 (0.265)	Data 0.379 (0.200)	Loss 4.8765 (4.9895)	Prec@1 3.516 (4.867)	Prec@5 18.359 (16.409)
Epoch: [18][860/7045]	Time 0.287 (0.265)	Data 0.237 (0.200)	Loss 4.9978 (4.9891)	Prec@1 4.688 (4.866)	Prec@5 17.578 (16.414)
Epoch: [18][870/7045]	Time 0.220 (0.265)	Data 0.161 (0.200)	Loss 4.8510 (4.9889)	Prec@1 5.078 (4.868)	Prec@5 22.266 (16.421)
Epoch: [18][880/7045]	Time 0.206 (0.265)	Data 0.154 (0.200)	Loss 4.9683 (4.9895)	Prec@1 3.906 (4.862)	Prec@5 17.969 (16.414)
Epoch: [18][890/7045]	Time 0.108 (0.265)	Data 0.007 (0.200)	Loss 5.1121 (4.9898)	Prec@1 3.516 (4.857)	Prec@5 14.844 (16.410)
Epoch: [18][900/7045]	Time 0.102 (0.265)	Data 0.001 (0.199)	Loss 5.1138 (4.9906)	Prec@1 5.469 (4.853)	Prec@5 15.625 (16.400)
Epoch: [18][910/7045]	Time 0.276 (0.265)	Data 0.225 (0.199)	Loss 5.0425 (4.9905)	Prec@1 3.906 (4.847)	Prec@5 13.672 (16.406)
Epoch: [18][920/7045]	Time 0.102 (0.265)	Data 0.001 (0.199)	Loss 4.9401 (4.9903)	Prec@1 6.641 (4.854)	Prec@5 16.406 (16.411)
Epoch: [18][930/7045]	Time 0.489 (0.264)	Data 0.439 (0.199)	Loss 4.9612 (4.9904)	Prec@1 3.516 (4.847)	Prec@5 17.188 (16.398)
Epoch: [18][940/7045]	Time 0.112 (0.264)	Data 0.052 (0.199)	Loss 5.1045 (4.9906)	Prec@1 3.906 (4.842)	Prec@5 14.062 (16.397)
Epoch: [18][950/7045]	Time 0.504 (0.264)	Data 0.453 (0.199)	Loss 5.1334 (4.9914)	Prec@1 4.688 (4.841)	Prec@5 13.672 (16.396)
Epoch: [18][960/7045]	Time 0.399 (0.264)	Data 0.347 (0.199)	Loss 5.0373 (4.9916)	Prec@1 3.125 (4.840)	Prec@5 17.969 (16.392)
Epoch: [18][970/7045]	Time 0.140 (0.264)	Data 0.088 (0.198)	Loss 5.0983 (4.9921)	Prec@1 3.906 (4.841)	Prec@5 14.453 (16.382)
Epoch: [18][980/7045]	Time 0.363 (0.264)	Data 0.313 (0.198)	Loss 5.0219 (4.9918)	Prec@1 2.734 (4.840)	Prec@5 17.578 (16.391)
Epoch: [18][990/7045]	Time 0.197 (0.264)	Data 0.146 (0.199)	Loss 5.0337 (4.9921)	Prec@1 4.297 (4.835)	Prec@5 15.625 (16.383)
Epoch: [18][1000/7045]	Time 0.484 (0.264)	Data 0.433 (0.199)	Loss 5.0101 (4.9921)	Prec@1 4.297 (4.837)	Prec@5 15.234 (16.388)
Epoch: [18][1010/7045]	Time 0.367 (0.264)	Data 0.316 (0.199)	Loss 4.8913 (4.9921)	Prec@1 3.906 (4.835)	Prec@5 17.188 (16.387)
Epoch: [18][1020/7045]	Time 0.117 (0.264)	Data 0.066 (0.198)	Loss 5.1129 (4.9923)	Prec@1 4.688 (4.841)	Prec@5 16.016 (16.398)
Epoch: [18][1030/7045]	Time 0.101 (0.264)	Data 0.001 (0.198)	Loss 5.0456 (4.9922)	Prec@1 4.297 (4.840)	Prec@5 14.844 (16.399)
Epoch: [18][1040/7045]	Time 0.418 (0.264)	Data 0.367 (0.199)	Loss 5.0946 (4.9921)	Prec@1 2.344 (4.842)	Prec@5 12.500 (16.395)
Epoch: [18][1050/7045]	Time 0.101 (0.264)	Data 0.047 (0.198)	Loss 5.0355 (4.9922)	Prec@1 6.250 (4.842)	Prec@5 16.016 (16.396)
Epoch: [18][1060/7045]	Time 0.217 (0.264)	Data 0.165 (0.198)	Loss 5.0783 (4.9926)	Prec@1 5.078 (4.847)	Prec@5 15.234 (16.387)
Epoch: [18][1070/7045]	Time 0.231 (0.264)	Data 0.180 (0.198)	Loss 5.0753 (4.9928)	Prec@1 3.906 (4.845)	Prec@5 13.281 (16.376)
Epoch: [18][1080/7045]	Time 0.290 (0.264)	Data 0.240 (0.198)	Loss 5.0002 (4.9926)	Prec@1 6.250 (4.845)	Prec@5 16.016 (16.376)
Epoch: [18][1090/7045]	Time 0.102 (0.263)	Data 0.001 (0.198)	Loss 5.0167 (4.9925)	Prec@1 8.594 (4.851)	Prec@5 17.969 (16.371)
Epoch: [18][1100/7045]	Time 0.199 (0.263)	Data 0.149 (0.198)	Loss 4.8979 (4.9923)	Prec@1 6.250 (4.849)	Prec@5 18.359 (16.374)
Epoch: [18][1110/7045]	Time 0.523 (0.263)	Data 0.472 (0.198)	Loss 4.8910 (4.9919)	Prec@1 5.078 (4.853)	Prec@5 19.141 (16.382)
Epoch: [18][1120/7045]	Time 0.106 (0.263)	Data 0.054 (0.198)	Loss 4.8304 (4.9917)	Prec@1 5.859 (4.850)	Prec@5 17.188 (16.380)
Epoch: [18][1130/7045]	Time 0.536 (0.263)	Data 0.486 (0.198)	Loss 5.1760 (4.9919)	Prec@1 3.906 (4.843)	Prec@5 15.234 (16.381)
Epoch: [18][1140/7045]	Time 0.130 (0.263)	Data 0.079 (0.198)	Loss 5.1909 (4.9923)	Prec@1 4.297 (4.840)	Prec@5 15.625 (16.379)
Epoch: [18][1150/7045]	Time 0.222 (0.263)	Data 0.171 (0.198)	Loss 5.0010 (4.9928)	Prec@1 5.469 (4.836)	Prec@5 20.312 (16.375)
Epoch: [18][1160/7045]	Time 0.301 (0.263)	Data 0.249 (0.198)	Loss 5.0711 (4.9928)	Prec@1 3.125 (4.836)	Prec@5 10.938 (16.369)
Epoch: [18][1170/7045]	Time 0.265 (0.263)	Data 0.214 (0.198)	Loss 4.8507 (4.9931)	Prec@1 6.641 (4.836)	Prec@5 17.969 (16.363)
Epoch: [18][1180/7045]	Time 0.488 (0.263)	Data 0.437 (0.198)	Loss 4.9871 (4.9934)	Prec@1 5.859 (4.833)	Prec@5 16.016 (16.354)
Epoch: [18][1190/7045]	Time 0.112 (0.263)	Data 0.001 (0.198)	Loss 5.1031 (4.9929)	Prec@1 3.516 (4.833)	Prec@5 12.500 (16.361)
Epoch: [18][1200/7045]	Time 0.687 (0.263)	Data 0.636 (0.198)	Loss 5.0115 (4.9929)	Prec@1 4.688 (4.836)	Prec@5 12.891 (16.366)
Epoch: [18][1210/7045]	Time 0.113 (0.263)	Data 0.061 (0.197)	Loss 4.9773 (4.9928)	Prec@1 7.422 (4.838)	Prec@5 15.625 (16.368)
Epoch: [18][1220/7045]	Time 0.159 (0.263)	Data 0.108 (0.198)	Loss 4.9369 (4.9930)	Prec@1 4.297 (4.837)	Prec@5 14.844 (16.360)
Epoch: [18][1230/7045]	Time 0.316 (0.263)	Data 0.265 (0.198)	Loss 4.9280 (4.9932)	Prec@1 5.078 (4.839)	Prec@5 14.453 (16.356)
Epoch: [18][1240/7045]	Time 0.116 (0.263)	Data 0.064 (0.197)	Loss 4.9963 (4.9938)	Prec@1 4.688 (4.830)	Prec@5 17.188 (16.340)
Epoch: [18][1250/7045]	Time 0.577 (0.263)	Data 0.519 (0.198)	Loss 5.0789 (4.9949)	Prec@1 3.516 (4.821)	Prec@5 14.062 (16.320)
Epoch: [18][1260/7045]	Time 0.250 (0.263)	Data 0.198 (0.198)	Loss 5.1046 (4.9952)	Prec@1 5.859 (4.815)	Prec@5 15.625 (16.313)
Epoch: [18][1270/7045]	Time 0.520 (0.263)	Data 0.469 (0.198)	Loss 4.8204 (4.9953)	Prec@1 8.594 (4.815)	Prec@5 21.484 (16.320)
Epoch: [18][1280/7045]	Time 0.102 (0.263)	Data 0.001 (0.198)	Loss 4.9219 (4.9952)	Prec@1 5.469 (4.813)	Prec@5 18.359 (16.321)
Epoch: [18][1290/7045]	Time 0.601 (0.263)	Data 0.544 (0.198)	Loss 4.9963 (4.9952)	Prec@1 5.469 (4.816)	Prec@5 16.016 (16.328)
Epoch: [18][1300/7045]	Time 0.338 (0.263)	Data 0.287 (0.198)	Loss 4.9434 (4.9947)	Prec@1 5.859 (4.821)	Prec@5 17.578 (16.337)
Epoch: [18][1310/7045]	Time 0.153 (0.263)	Data 0.101 (0.197)	Loss 5.0728 (4.9946)	Prec@1 5.469 (4.822)	Prec@5 17.188 (16.340)
Epoch: [18][1320/7045]	Time 0.474 (0.264)	Data 0.425 (0.198)	Loss 5.1725 (4.9948)	Prec@1 4.297 (4.821)	Prec@5 14.062 (16.340)
Epoch: [18][1330/7045]	Time 0.101 (0.263)	Data 0.001 (0.198)	Loss 5.1675 (4.9956)	Prec@1 5.469 (4.817)	Prec@5 13.672 (16.323)
Epoch: [18][1340/7045]	Time 0.102 (0.263)	Data 0.006 (0.198)	Loss 5.1512 (4.9960)	Prec@1 2.344 (4.812)	Prec@5 13.672 (16.317)
Epoch: [18][1350/7045]	Time 0.285 (0.263)	Data 0.233 (0.198)	Loss 4.9983 (4.9959)	Prec@1 4.688 (4.813)	Prec@5 15.625 (16.322)
Epoch: [18][1360/7045]	Time 0.119 (0.263)	Data 0.067 (0.198)	Loss 4.8844 (4.9961)	Prec@1 4.688 (4.808)	Prec@5 18.359 (16.325)
Epoch: [18][1370/7045]	Time 0.419 (0.263)	Data 0.368 (0.198)	Loss 4.8387 (4.9959)	Prec@1 6.641 (4.808)	Prec@5 17.578 (16.319)
Epoch: [18][1380/7045]	Time 0.101 (0.263)	Data 0.050 (0.198)	Loss 5.0944 (4.9958)	Prec@1 3.516 (4.811)	Prec@5 16.016 (16.325)
Epoch: [18][1390/7045]	Time 0.490 (0.263)	Data 0.439 (0.198)	Loss 5.0639 (4.9961)	Prec@1 5.859 (4.810)	Prec@5 16.406 (16.318)
Epoch: [18][1400/7045]	Time 0.219 (0.263)	Data 0.160 (0.198)	Loss 5.2082 (4.9968)	Prec@1 1.953 (4.802)	Prec@5 14.453 (16.307)
Epoch: [18][1410/7045]	Time 0.320 (0.263)	Data 0.269 (0.198)	Loss 5.0656 (4.9974)	Prec@1 3.125 (4.799)	Prec@5 14.453 (16.305)
Epoch: [18][1420/7045]	Time 0.111 (0.263)	Data 0.010 (0.198)	Loss 5.0253 (4.9973)	Prec@1 7.031 (4.805)	Prec@5 17.969 (16.314)
Epoch: [18][1430/7045]	Time 0.230 (0.263)	Data 0.179 (0.198)	Loss 5.1002 (4.9975)	Prec@1 3.516 (4.802)	Prec@5 14.453 (16.311)
Epoch: [18][1440/7045]	Time 0.549 (0.263)	Data 0.489 (0.198)	Loss 4.9957 (4.9974)	Prec@1 5.859 (4.807)	Prec@5 13.672 (16.314)
Epoch: [18][1450/7045]	Time 0.114 (0.263)	Data 0.062 (0.198)	Loss 5.0385 (4.9977)	Prec@1 3.516 (4.803)	Prec@5 14.453 (16.307)
Epoch: [18][1460/7045]	Time 0.470 (0.263)	Data 0.418 (0.198)	Loss 4.9030 (4.9978)	Prec@1 5.078 (4.801)	Prec@5 18.750 (16.313)
Epoch: [18][1470/7045]	Time 0.907 (0.263)	Data 0.847 (0.198)	Loss 5.0138 (4.9983)	Prec@1 3.906 (4.799)	Prec@5 12.891 (16.307)
Epoch: [18][1480/7045]	Time 0.178 (0.263)	Data 0.126 (0.198)	Loss 5.0457 (4.9981)	Prec@1 1.562 (4.797)	Prec@5 14.844 (16.306)
Epoch: [18][1490/7045]	Time 0.707 (0.263)	Data 0.648 (0.198)	Loss 5.0441 (4.9979)	Prec@1 2.344 (4.794)	Prec@5 12.500 (16.305)
Epoch: [18][1500/7045]	Time 0.278 (0.263)	Data 0.228 (0.198)	Loss 5.0614 (4.9978)	Prec@1 7.422 (4.797)	Prec@5 19.531 (16.306)
Epoch: [18][1510/7045]	Time 0.227 (0.263)	Data 0.177 (0.198)	Loss 5.1007 (4.9978)	Prec@1 3.906 (4.796)	Prec@5 12.500 (16.301)
Epoch: [18][1520/7045]	Time 0.580 (0.263)	Data 0.529 (0.198)	Loss 5.1068 (4.9979)	Prec@1 5.469 (4.795)	Prec@5 19.141 (16.305)
Epoch: [18][1530/7045]	Time 0.106 (0.263)	Data 0.055 (0.198)	Loss 5.0497 (4.9978)	Prec@1 5.469 (4.796)	Prec@5 14.062 (16.304)
Epoch: [18][1540/7045]	Time 0.110 (0.263)	Data 0.007 (0.198)	Loss 5.1192 (4.9979)	Prec@1 4.297 (4.800)	Prec@5 14.453 (16.305)
Epoch: [18][1550/7045]	Time 0.106 (0.263)	Data 0.052 (0.198)	Loss 5.0191 (4.9979)	Prec@1 6.250 (4.806)	Prec@5 15.625 (16.303)
Epoch: [18][1560/7045]	Time 0.102 (0.263)	Data 0.013 (0.198)	Loss 4.9520 (4.9982)	Prec@1 5.469 (4.803)	Prec@5 17.578 (16.300)
Epoch: [18][1570/7045]	Time 0.131 (0.264)	Data 0.081 (0.199)	Loss 4.9468 (4.9980)	Prec@1 7.422 (4.803)	Prec@5 16.406 (16.300)
Epoch: [18][1580/7045]	Time 0.453 (0.264)	Data 0.403 (0.199)	Loss 4.8515 (4.9979)	Prec@1 9.375 (4.800)	Prec@5 17.188 (16.298)
Epoch: [18][1590/7045]	Time 0.101 (0.264)	Data 0.018 (0.199)	Loss 4.8656 (4.9976)	Prec@1 3.125 (4.803)	Prec@5 18.750 (16.305)
Epoch: [18][1600/7045]	Time 0.510 (0.265)	Data 0.457 (0.199)	Loss 4.9183 (4.9981)	Prec@1 4.297 (4.799)	Prec@5 19.531 (16.296)
Epoch: [18][1610/7045]	Time 0.107 (0.264)	Data 0.001 (0.199)	Loss 5.1017 (4.9983)	Prec@1 5.859 (4.795)	Prec@5 19.531 (16.300)
Epoch: [18][1620/7045]	Time 0.384 (0.264)	Data 0.334 (0.199)	Loss 5.0093 (4.9981)	Prec@1 5.078 (4.796)	Prec@5 14.453 (16.297)
Epoch: [18][1630/7045]	Time 0.207 (0.264)	Data 0.156 (0.199)	Loss 4.9800 (4.9983)	Prec@1 3.516 (4.794)	Prec@5 15.625 (16.293)
Epoch: [18][1640/7045]	Time 0.604 (0.265)	Data 0.545 (0.200)	Loss 4.9773 (4.9981)	Prec@1 4.688 (4.795)	Prec@5 19.141 (16.300)
Epoch: [18][1650/7045]	Time 0.191 (0.265)	Data 0.141 (0.200)	Loss 4.9685 (4.9982)	Prec@1 7.812 (4.799)	Prec@5 17.578 (16.305)
Epoch: [18][1660/7045]	Time 0.719 (0.265)	Data 0.663 (0.200)	Loss 4.9902 (4.9978)	Prec@1 5.469 (4.800)	Prec@5 17.578 (16.315)
Epoch: [18][1670/7045]	Time 0.101 (0.265)	Data 0.001 (0.199)	Loss 5.1847 (4.9980)	Prec@1 3.516 (4.799)	Prec@5 12.891 (16.307)
Epoch: [18][1680/7045]	Time 0.515 (0.265)	Data 0.465 (0.199)	Loss 4.9846 (4.9978)	Prec@1 4.688 (4.803)	Prec@5 12.500 (16.310)
Epoch: [18][1690/7045]	Time 0.172 (0.265)	Data 0.122 (0.200)	Loss 4.9436 (4.9975)	Prec@1 5.859 (4.802)	Prec@5 15.234 (16.312)
Epoch: [18][1700/7045]	Time 0.204 (0.265)	Data 0.153 (0.200)	Loss 5.0227 (4.9975)	Prec@1 5.469 (4.803)	Prec@5 17.578 (16.308)
Epoch: [18][1710/7045]	Time 0.255 (0.265)	Data 0.203 (0.200)	Loss 4.8869 (4.9976)	Prec@1 7.422 (4.802)	Prec@5 19.141 (16.311)
Epoch: [18][1720/7045]	Time 0.176 (0.265)	Data 0.125 (0.200)	Loss 4.9630 (4.9975)	Prec@1 5.859 (4.805)	Prec@5 16.797 (16.317)
Epoch: [18][1730/7045]	Time 0.417 (0.265)	Data 0.358 (0.200)	Loss 4.9400 (4.9975)	Prec@1 3.125 (4.808)	Prec@5 15.625 (16.312)
Epoch: [18][1740/7045]	Time 0.249 (0.265)	Data 0.198 (0.199)	Loss 5.1547 (4.9978)	Prec@1 6.641 (4.808)	Prec@5 16.797 (16.312)
Epoch: [18][1750/7045]	Time 0.404 (0.265)	Data 0.353 (0.199)	Loss 5.0514 (4.9978)	Prec@1 2.734 (4.808)	Prec@5 15.625 (16.309)
Epoch: [18][1760/7045]	Time 0.100 (0.265)	Data 0.018 (0.199)	Loss 5.0406 (4.9983)	Prec@1 5.859 (4.810)	Prec@5 17.188 (16.300)
Epoch: [18][1770/7045]	Time 0.101 (0.265)	Data 0.048 (0.200)	Loss 4.9971 (4.9985)	Prec@1 4.297 (4.807)	Prec@5 16.797 (16.296)
Epoch: [18][1780/7045]	Time 0.102 (0.265)	Data 0.010 (0.200)	Loss 5.0029 (4.9986)	Prec@1 3.906 (4.803)	Prec@5 15.234 (16.294)
Epoch: [18][1790/7045]	Time 0.118 (0.265)	Data 0.066 (0.199)	Loss 4.9592 (4.9985)	Prec@1 5.078 (4.805)	Prec@5 19.531 (16.293)
Epoch: [18][1800/7045]	Time 0.375 (0.265)	Data 0.323 (0.200)	Loss 4.9581 (4.9985)	Prec@1 2.734 (4.801)	Prec@5 16.406 (16.288)
Epoch: [18][1810/7045]	Time 0.101 (0.265)	Data 0.006 (0.199)	Loss 5.0957 (4.9986)	Prec@1 5.469 (4.799)	Prec@5 17.188 (16.285)
Epoch: [18][1820/7045]	Time 0.224 (0.265)	Data 0.174 (0.199)	Loss 4.9617 (4.9985)	Prec@1 4.688 (4.797)	Prec@5 18.750 (16.290)
Epoch: [18][1830/7045]	Time 0.179 (0.265)	Data 0.128 (0.199)	Loss 5.0358 (4.9986)	Prec@1 5.078 (4.797)	Prec@5 17.188 (16.286)
Epoch: [18][1840/7045]	Time 0.303 (0.265)	Data 0.253 (0.200)	Loss 4.9321 (4.9987)	Prec@1 3.125 (4.794)	Prec@5 17.188 (16.285)
Epoch: [18][1850/7045]	Time 0.383 (0.265)	Data 0.332 (0.200)	Loss 5.0915 (4.9988)	Prec@1 5.859 (4.795)	Prec@5 15.234 (16.288)
Epoch: [18][1860/7045]	Time 0.242 (0.265)	Data 0.191 (0.200)	Loss 5.0997 (4.9989)	Prec@1 4.297 (4.795)	Prec@5 11.328 (16.283)
Epoch: [18][1870/7045]	Time 0.286 (0.265)	Data 0.228 (0.200)	Loss 5.0932 (4.9988)	Prec@1 1.562 (4.796)	Prec@5 17.188 (16.284)
Epoch: [18][1880/7045]	Time 0.127 (0.265)	Data 0.075 (0.200)	Loss 4.9690 (4.9989)	Prec@1 5.078 (4.797)	Prec@5 15.234 (16.284)
Epoch: [18][1890/7045]	Time 0.461 (0.265)	Data 0.409 (0.200)	Loss 5.0096 (4.9990)	Prec@1 5.078 (4.799)	Prec@5 15.234 (16.286)
Epoch: [18][1900/7045]	Time 0.256 (0.265)	Data 0.205 (0.200)	Loss 5.0834 (4.9991)	Prec@1 1.172 (4.795)	Prec@5 14.844 (16.279)
Epoch: [18][1910/7045]	Time 0.302 (0.264)	Data 0.252 (0.200)	Loss 5.1864 (4.9993)	Prec@1 3.516 (4.795)	Prec@5 14.453 (16.277)
Epoch: [18][1920/7045]	Time 0.109 (0.265)	Data 0.001 (0.200)	Loss 5.0883 (4.9994)	Prec@1 1.953 (4.793)	Prec@5 12.109 (16.273)
Epoch: [18][1930/7045]	Time 0.136 (0.265)	Data 0.085 (0.200)	Loss 4.9925 (4.9996)	Prec@1 5.859 (4.794)	Prec@5 20.312 (16.274)
Epoch: [18][1940/7045]	Time 0.101 (0.265)	Data 0.017 (0.200)	Loss 5.1612 (4.9996)	Prec@1 3.516 (4.793)	Prec@5 12.500 (16.271)
Epoch: [18][1950/7045]	Time 0.102 (0.265)	Data 0.001 (0.200)	Loss 5.0150 (4.9998)	Prec@1 3.906 (4.789)	Prec@5 16.016 (16.265)
Epoch: [18][1960/7045]	Time 0.213 (0.265)	Data 0.163 (0.200)	Loss 5.1165 (4.9999)	Prec@1 4.297 (4.787)	Prec@5 16.016 (16.265)
Epoch: [18][1970/7045]	Time 0.109 (0.265)	Data 0.001 (0.200)	Loss 5.0207 (5.0000)	Prec@1 5.469 (4.788)	Prec@5 17.578 (16.264)
Epoch: [18][1980/7045]	Time 0.101 (0.264)	Data 0.001 (0.199)	Loss 5.1889 (5.0000)	Prec@1 3.906 (4.788)	Prec@5 15.234 (16.267)
Epoch: [18][1990/7045]	Time 0.099 (0.265)	Data 0.001 (0.200)	Loss 5.0269 (4.9996)	Prec@1 6.641 (4.792)	Prec@5 15.625 (16.276)
Epoch: [18][2000/7045]	Time 0.364 (0.265)	Data 0.314 (0.200)	Loss 5.0361 (4.9996)	Prec@1 4.688 (4.789)	Prec@5 14.453 (16.278)
Epoch: [18][2010/7045]	Time 0.561 (0.265)	Data 0.510 (0.200)	Loss 4.9923 (4.9995)	Prec@1 4.688 (4.792)	Prec@5 15.234 (16.284)
Epoch: [18][2020/7045]	Time 0.241 (0.265)	Data 0.189 (0.200)	Loss 5.1043 (4.9997)	Prec@1 5.469 (4.790)	Prec@5 15.234 (16.287)
Epoch: [18][2030/7045]	Time 0.580 (0.265)	Data 0.529 (0.200)	Loss 5.0252 (4.9997)	Prec@1 3.906 (4.788)	Prec@5 13.672 (16.286)
Epoch: [18][2040/7045]	Time 0.302 (0.265)	Data 0.250 (0.200)	Loss 5.1026 (4.9998)	Prec@1 4.688 (4.787)	Prec@5 14.844 (16.284)
Epoch: [18][2050/7045]	Time 0.098 (0.265)	Data 0.001 (0.200)	Loss 5.0178 (4.9997)	Prec@1 4.688 (4.788)	Prec@5 13.281 (16.283)
Epoch: [18][2060/7045]	Time 0.169 (0.265)	Data 0.118 (0.200)	Loss 4.8889 (4.9993)	Prec@1 3.906 (4.791)	Prec@5 16.406 (16.291)
Epoch: [18][2070/7045]	Time 0.101 (0.265)	Data 0.001 (0.200)	Loss 4.8997 (4.9991)	Prec@1 5.859 (4.791)	Prec@5 20.703 (16.297)
Epoch: [18][2080/7045]	Time 0.103 (0.265)	Data 0.001 (0.200)	Loss 5.0451 (4.9991)	Prec@1 3.516 (4.792)	Prec@5 17.969 (16.295)
Epoch: [18][2090/7045]	Time 0.101 (0.265)	Data 0.001 (0.200)	Loss 5.0947 (4.9990)	Prec@1 5.078 (4.793)	Prec@5 13.281 (16.296)
Epoch: [18][2100/7045]	Time 0.177 (0.265)	Data 0.126 (0.200)	Loss 5.0100 (4.9990)	Prec@1 3.906 (4.794)	Prec@5 14.453 (16.296)
Epoch: [18][2110/7045]	Time 0.147 (0.265)	Data 0.095 (0.200)	Loss 5.0262 (4.9988)	Prec@1 2.734 (4.792)	Prec@5 15.625 (16.296)
Epoch: [18][2120/7045]	Time 0.270 (0.265)	Data 0.219 (0.200)	Loss 5.1130 (4.9988)	Prec@1 3.516 (4.792)	Prec@5 14.062 (16.291)
Epoch: [18][2130/7045]	Time 0.206 (0.265)	Data 0.154 (0.200)	Loss 5.1827 (4.9992)	Prec@1 3.125 (4.789)	Prec@5 13.281 (16.287)
Epoch: [18][2140/7045]	Time 0.108 (0.266)	Data 0.047 (0.200)	Loss 5.0881 (4.9994)	Prec@1 4.297 (4.791)	Prec@5 14.844 (16.287)
Epoch: [18][2150/7045]	Time 0.492 (0.266)	Data 0.440 (0.200)	Loss 4.9759 (4.9994)	Prec@1 5.859 (4.792)	Prec@5 17.188 (16.296)
Epoch: [18][2160/7045]	Time 0.102 (0.265)	Data 0.051 (0.200)	Loss 4.9956 (4.9993)	Prec@1 5.859 (4.795)	Prec@5 16.016 (16.295)
Epoch: [18][2170/7045]	Time 0.114 (0.266)	Data 0.062 (0.200)	Loss 4.9478 (4.9993)	Prec@1 5.078 (4.797)	Prec@5 18.359 (16.294)
Epoch: [18][2180/7045]	Time 0.101 (0.265)	Data 0.001 (0.200)	Loss 4.8709 (4.9992)	Prec@1 7.031 (4.796)	Prec@5 17.969 (16.293)
Epoch: [18][2190/7045]	Time 0.355 (0.265)	Data 0.303 (0.200)	Loss 4.9484 (4.9995)	Prec@1 5.078 (4.793)	Prec@5 14.844 (16.286)
Epoch: [18][2200/7045]	Time 0.108 (0.265)	Data 0.001 (0.200)	Loss 5.1444 (5.0000)	Prec@1 2.344 (4.787)	Prec@5 12.891 (16.277)
Epoch: [18][2210/7045]	Time 1.617 (0.266)	Data 1.564 (0.201)	Loss 5.0426 (5.0001)	Prec@1 5.469 (4.790)	Prec@5 15.234 (16.278)
Epoch: [18][2220/7045]	Time 0.134 (0.266)	Data 0.083 (0.201)	Loss 5.0396 (5.0001)	Prec@1 3.125 (4.789)	Prec@5 15.234 (16.278)
Epoch: [18][2230/7045]	Time 0.130 (0.266)	Data 0.079 (0.201)	Loss 5.0306 (5.0000)	Prec@1 6.250 (4.792)	Prec@5 16.797 (16.281)
Epoch: [18][2240/7045]	Time 0.107 (0.266)	Data 0.056 (0.201)	Loss 5.2558 (5.0001)	Prec@1 1.562 (4.791)	Prec@5 8.594 (16.278)
Epoch: [18][2250/7045]	Time 0.417 (0.266)	Data 0.366 (0.201)	Loss 5.1715 (5.0002)	Prec@1 3.125 (4.785)	Prec@5 10.547 (16.276)
Epoch: [18][2260/7045]	Time 0.170 (0.266)	Data 0.117 (0.201)	Loss 5.0711 (5.0005)	Prec@1 3.516 (4.783)	Prec@5 16.797 (16.272)
Epoch: [18][2270/7045]	Time 0.372 (0.266)	Data 0.313 (0.201)	Loss 5.1490 (5.0007)	Prec@1 2.734 (4.779)	Prec@5 11.328 (16.265)
Epoch: [18][2280/7045]	Time 0.101 (0.266)	Data 0.010 (0.201)	Loss 5.1422 (5.0010)	Prec@1 3.906 (4.778)	Prec@5 17.188 (16.260)
Epoch: [18][2290/7045]	Time 0.643 (0.267)	Data 0.591 (0.201)	Loss 4.9719 (5.0012)	Prec@1 5.859 (4.777)	Prec@5 16.797 (16.260)
Epoch: [18][2300/7045]	Time 0.111 (0.267)	Data 0.001 (0.201)	Loss 4.9276 (5.0012)	Prec@1 5.078 (4.776)	Prec@5 20.312 (16.257)
Epoch: [18][2310/7045]	Time 0.291 (0.267)	Data 0.239 (0.201)	Loss 4.9922 (5.0010)	Prec@1 4.297 (4.776)	Prec@5 16.016 (16.253)
Epoch: [18][2320/7045]	Time 0.155 (0.266)	Data 0.105 (0.201)	Loss 5.1304 (5.0013)	Prec@1 2.344 (4.775)	Prec@5 12.891 (16.251)
Epoch: [18][2330/7045]	Time 0.341 (0.267)	Data 0.290 (0.201)	Loss 5.0338 (5.0013)	Prec@1 5.859 (4.780)	Prec@5 15.625 (16.251)
Epoch: [18][2340/7045]	Time 0.125 (0.266)	Data 0.073 (0.201)	Loss 5.1999 (5.0013)	Prec@1 1.562 (4.781)	Prec@5 9.766 (16.245)
Epoch: [18][2350/7045]	Time 0.101 (0.267)	Data 0.001 (0.201)	Loss 5.0503 (5.0014)	Prec@1 6.250 (4.780)	Prec@5 19.141 (16.242)
Epoch: [18][2360/7045]	Time 0.370 (0.267)	Data 0.319 (0.202)	Loss 5.0037 (5.0013)	Prec@1 3.906 (4.780)	Prec@5 18.359 (16.246)
Epoch: [18][2370/7045]	Time 0.108 (0.267)	Data 0.057 (0.202)	Loss 5.1652 (5.0011)	Prec@1 3.906 (4.781)	Prec@5 12.500 (16.245)
Epoch: [18][2380/7045]	Time 0.339 (0.267)	Data 0.288 (0.202)	Loss 4.9597 (5.0014)	Prec@1 5.469 (4.781)	Prec@5 16.797 (16.239)
Epoch: [18][2390/7045]	Time 0.102 (0.267)	Data 0.001 (0.202)	Loss 5.0765 (5.0015)	Prec@1 3.906 (4.782)	Prec@5 15.234 (16.240)
Epoch: [18][2400/7045]	Time 0.380 (0.267)	Data 0.319 (0.202)	Loss 5.2028 (5.0017)	Prec@1 3.516 (4.782)	Prec@5 13.672 (16.233)
Epoch: [18][2410/7045]	Time 0.110 (0.267)	Data 0.059 (0.202)	Loss 5.0654 (5.0019)	Prec@1 5.078 (4.781)	Prec@5 14.453 (16.230)
Epoch: [18][2420/7045]	Time 2.383 (0.268)	Data 2.331 (0.203)	Loss 5.0280 (5.0020)	Prec@1 3.516 (4.782)	Prec@5 17.969 (16.233)
Epoch: [18][2430/7045]	Time 0.183 (0.268)	Data 0.132 (0.203)	Loss 4.9748 (5.0019)	Prec@1 4.297 (4.784)	Prec@5 17.578 (16.236)
Epoch: [18][2440/7045]	Time 0.483 (0.268)	Data 0.432 (0.203)	Loss 5.0068 (5.0019)	Prec@1 5.859 (4.785)	Prec@5 14.453 (16.232)
Epoch: [18][2450/7045]	Time 0.218 (0.268)	Data 0.166 (0.203)	Loss 4.9801 (5.0020)	Prec@1 3.125 (4.782)	Prec@5 14.844 (16.230)
Epoch: [18][2460/7045]	Time 0.639 (0.268)	Data 0.587 (0.203)	Loss 5.0847 (5.0022)	Prec@1 2.344 (4.781)	Prec@5 14.453 (16.228)
Epoch: [18][2470/7045]	Time 0.102 (0.268)	Data 0.001 (0.203)	Loss 5.0960 (5.0019)	Prec@1 5.078 (4.781)	Prec@5 14.844 (16.232)
Epoch: [18][2480/7045]	Time 0.290 (0.268)	Data 0.232 (0.203)	Loss 4.8485 (5.0018)	Prec@1 5.078 (4.781)	Prec@5 18.359 (16.234)
Epoch: [18][2490/7045]	Time 0.101 (0.269)	Data 0.009 (0.203)	Loss 5.1061 (5.0022)	Prec@1 2.734 (4.777)	Prec@5 14.062 (16.230)
Epoch: [18][2500/7045]	Time 0.141 (0.269)	Data 0.081 (0.203)	Loss 4.9877 (5.0023)	Prec@1 5.078 (4.780)	Prec@5 16.406 (16.231)
Epoch: [18][2510/7045]	Time 0.102 (0.268)	Data 0.001 (0.203)	Loss 4.8510 (5.0022)	Prec@1 5.469 (4.779)	Prec@5 21.484 (16.233)
Epoch: [18][2520/7045]	Time 0.103 (0.268)	Data 0.052 (0.203)	Loss 5.0031 (5.0021)	Prec@1 4.688 (4.779)	Prec@5 17.578 (16.239)
Epoch: [18][2530/7045]	Time 0.112 (0.268)	Data 0.061 (0.203)	Loss 4.9718 (5.0021)	Prec@1 3.906 (4.777)	Prec@5 14.453 (16.238)
Epoch: [18][2540/7045]	Time 0.113 (0.268)	Data 0.060 (0.203)	Loss 5.0258 (5.0020)	Prec@1 4.297 (4.778)	Prec@5 16.406 (16.239)
Epoch: [18][2550/7045]	Time 0.493 (0.268)	Data 0.441 (0.203)	Loss 4.8842 (5.0015)	Prec@1 4.688 (4.782)	Prec@5 19.531 (16.248)
Epoch: [18][2560/7045]	Time 0.174 (0.269)	Data 0.123 (0.204)	Loss 4.9186 (5.0013)	Prec@1 5.859 (4.783)	Prec@5 16.406 (16.250)
Epoch: [18][2570/7045]	Time 0.101 (0.269)	Data 0.010 (0.204)	Loss 4.9441 (5.0013)	Prec@1 5.859 (4.782)	Prec@5 14.062 (16.253)
Epoch: [18][2580/7045]	Time 0.355 (0.269)	Data 0.304 (0.204)	Loss 5.2287 (5.0016)	Prec@1 2.344 (4.778)	Prec@5 11.719 (16.245)
Epoch: [18][2590/7045]	Time 0.142 (0.269)	Data 0.090 (0.204)	Loss 4.9443 (5.0017)	Prec@1 7.031 (4.777)	Prec@5 17.578 (16.244)
Epoch: [18][2600/7045]	Time 0.193 (0.269)	Data 0.143 (0.204)	Loss 5.0052 (5.0019)	Prec@1 4.297 (4.776)	Prec@5 15.234 (16.239)
Epoch: [18][2610/7045]	Time 0.115 (0.269)	Data 0.064 (0.204)	Loss 4.9369 (5.0019)	Prec@1 5.469 (4.776)	Prec@5 18.750 (16.241)
Epoch: [18][2620/7045]	Time 0.659 (0.269)	Data 0.607 (0.204)	Loss 5.0762 (5.0017)	Prec@1 4.297 (4.776)	Prec@5 16.406 (16.241)
Epoch: [18][2630/7045]	Time 0.102 (0.270)	Data 0.005 (0.205)	Loss 4.8086 (5.0016)	Prec@1 7.031 (4.779)	Prec@5 21.094 (16.243)
Epoch: [18][2640/7045]	Time 0.428 (0.270)	Data 0.377 (0.205)	Loss 4.9431 (5.0013)	Prec@1 4.688 (4.778)	Prec@5 14.062 (16.246)
Epoch: [18][2650/7045]	Time 0.271 (0.270)	Data 0.221 (0.205)	Loss 5.0348 (5.0012)	Prec@1 5.859 (4.778)	Prec@5 12.891 (16.245)
Epoch: [18][2660/7045]	Time 0.125 (0.270)	Data 0.073 (0.205)	Loss 5.0399 (5.0012)	Prec@1 3.516 (4.777)	Prec@5 15.234 (16.244)
Epoch: [18][2670/7045]	Time 0.420 (0.270)	Data 0.369 (0.205)	Loss 4.9883 (5.0011)	Prec@1 6.250 (4.778)	Prec@5 15.625 (16.244)
Epoch: [18][2680/7045]	Time 0.189 (0.270)	Data 0.138 (0.205)	Loss 4.9184 (5.0011)	Prec@1 4.297 (4.779)	Prec@5 15.625 (16.242)
Epoch: [18][2690/7045]	Time 0.119 (0.270)	Data 0.068 (0.205)	Loss 4.8428 (5.0009)	Prec@1 6.250 (4.781)	Prec@5 20.312 (16.245)
Epoch: [18][2700/7045]	Time 0.102 (0.270)	Data 0.001 (0.205)	Loss 5.0990 (5.0009)	Prec@1 3.516 (4.778)	Prec@5 16.406 (16.246)
Epoch: [18][2710/7045]	Time 0.102 (0.270)	Data 0.048 (0.205)	Loss 4.9988 (5.0009)	Prec@1 4.297 (4.776)	Prec@5 15.234 (16.244)
Epoch: [18][2720/7045]	Time 0.102 (0.270)	Data 0.020 (0.204)	Loss 4.9676 (5.0009)	Prec@1 6.641 (4.778)	Prec@5 16.797 (16.243)
Epoch: [18][2730/7045]	Time 0.101 (0.270)	Data 0.001 (0.204)	Loss 5.2094 (5.0009)	Prec@1 3.906 (4.780)	Prec@5 12.891 (16.246)
Epoch: [18][2740/7045]	Time 0.329 (0.270)	Data 0.278 (0.204)	Loss 5.0956 (5.0011)	Prec@1 4.688 (4.779)	Prec@5 14.453 (16.245)
Epoch: [18][2750/7045]	Time 0.285 (0.269)	Data 0.234 (0.204)	Loss 4.8796 (5.0009)	Prec@1 5.469 (4.780)	Prec@5 17.578 (16.250)
Epoch: [18][2760/7045]	Time 0.101 (0.270)	Data 0.001 (0.205)	Loss 5.1251 (5.0007)	Prec@1 3.516 (4.781)	Prec@5 14.453 (16.254)
Epoch: [18][2770/7045]	Time 0.109 (0.270)	Data 0.001 (0.205)	Loss 5.0367 (5.0008)	Prec@1 3.125 (4.782)	Prec@5 17.188 (16.254)
Epoch: [18][2780/7045]	Time 0.294 (0.270)	Data 0.241 (0.205)	Loss 4.9702 (5.0009)	Prec@1 5.859 (4.782)	Prec@5 13.281 (16.250)
Epoch: [18][2790/7045]	Time 0.110 (0.270)	Data 0.051 (0.205)	Loss 4.9932 (5.0011)	Prec@1 3.906 (4.779)	Prec@5 14.453 (16.246)
Epoch: [18][2800/7045]	Time 0.244 (0.270)	Data 0.192 (0.205)	Loss 5.1112 (5.0011)	Prec@1 5.078 (4.777)	Prec@5 14.844 (16.245)
Epoch: [18][2810/7045]	Time 0.101 (0.270)	Data 0.043 (0.205)	Loss 5.0712 (5.0011)	Prec@1 4.297 (4.779)	Prec@5 13.672 (16.243)
Epoch: [18][2820/7045]	Time 0.102 (0.270)	Data 0.019 (0.204)	Loss 5.0674 (5.0011)	Prec@1 5.469 (4.780)	Prec@5 18.359 (16.243)
Epoch: [18][2830/7045]	Time 0.158 (0.270)	Data 0.107 (0.205)	Loss 4.9377 (5.0012)	Prec@1 3.906 (4.779)	Prec@5 17.188 (16.241)
Epoch: [18][2840/7045]	Time 0.417 (0.270)	Data 0.366 (0.205)	Loss 5.0906 (5.0015)	Prec@1 3.906 (4.778)	Prec@5 16.016 (16.236)
Epoch: [18][2850/7045]	Time 0.102 (0.270)	Data 0.001 (0.205)	Loss 4.9487 (5.0015)	Prec@1 4.688 (4.778)	Prec@5 16.016 (16.236)
Epoch: [18][2860/7045]	Time 0.743 (0.270)	Data 0.685 (0.205)	Loss 5.0010 (5.0016)	Prec@1 5.859 (4.779)	Prec@5 16.797 (16.235)
Epoch: [18][2870/7045]	Time 0.101 (0.270)	Data 0.001 (0.205)	Loss 4.9580 (5.0015)	Prec@1 3.906 (4.780)	Prec@5 16.406 (16.238)
Epoch: [18][2880/7045]	Time 0.541 (0.270)	Data 0.489 (0.205)	Loss 4.9255 (5.0013)	Prec@1 5.469 (4.783)	Prec@5 19.531 (16.245)
Epoch: [18][2890/7045]	Time 0.101 (0.270)	Data 0.014 (0.205)	Loss 4.9138 (5.0013)	Prec@1 4.297 (4.780)	Prec@5 21.094 (16.243)
Epoch: [18][2900/7045]	Time 0.108 (0.270)	Data 0.001 (0.205)	Loss 5.0415 (5.0016)	Prec@1 3.125 (4.777)	Prec@5 13.672 (16.236)
Epoch: [18][2910/7045]	Time 0.102 (0.270)	Data 0.012 (0.205)	Loss 4.9181 (5.0017)	Prec@1 5.469 (4.776)	Prec@5 15.625 (16.230)
Epoch: [18][2920/7045]	Time 0.248 (0.270)	Data 0.198 (0.205)	Loss 5.0639 (5.0019)	Prec@1 2.344 (4.773)	Prec@5 14.453 (16.225)
Epoch: [18][2930/7045]	Time 0.266 (0.270)	Data 0.215 (0.205)	Loss 5.1034 (5.0020)	Prec@1 5.469 (4.773)	Prec@5 14.062 (16.221)
Epoch: [18][2940/7045]	Time 0.107 (0.270)	Data 0.055 (0.205)	Loss 4.9493 (5.0022)	Prec@1 7.031 (4.774)	Prec@5 17.188 (16.218)
Epoch: [18][2950/7045]	Time 1.149 (0.270)	Data 1.088 (0.205)	Loss 5.0376 (5.0021)	Prec@1 7.812 (4.775)	Prec@5 16.016 (16.218)
Epoch: [18][2960/7045]	Time 0.174 (0.270)	Data 0.114 (0.205)	Loss 4.9865 (5.0021)	Prec@1 5.469 (4.775)	Prec@5 16.797 (16.215)
Epoch: [18][2970/7045]	Time 0.108 (0.271)	Data 0.001 (0.206)	Loss 4.9734 (5.0021)	Prec@1 5.859 (4.776)	Prec@5 17.969 (16.217)
Epoch: [18][2980/7045]	Time 0.324 (0.270)	Data 0.273 (0.205)	Loss 4.9402 (5.0020)	Prec@1 4.297 (4.776)	Prec@5 16.797 (16.217)
Epoch: [18][2990/7045]	Time 0.113 (0.270)	Data 0.062 (0.205)	Loss 4.9960 (5.0020)	Prec@1 4.688 (4.776)	Prec@5 16.797 (16.216)
Epoch: [18][3000/7045]	Time 0.102 (0.270)	Data 0.049 (0.205)	Loss 5.0209 (5.0020)	Prec@1 3.906 (4.774)	Prec@5 16.406 (16.216)
Epoch: [18][3010/7045]	Time 0.246 (0.270)	Data 0.195 (0.205)	Loss 5.0670 (5.0019)	Prec@1 5.078 (4.774)	Prec@5 14.453 (16.219)
Epoch: [18][3020/7045]	Time 0.103 (0.270)	Data 0.001 (0.205)	Loss 4.9951 (5.0018)	Prec@1 3.906 (4.776)	Prec@5 15.625 (16.224)
Epoch: [18][3030/7045]	Time 0.101 (0.270)	Data 0.001 (0.205)	Loss 4.8188 (5.0017)	Prec@1 7.812 (4.777)	Prec@5 19.922 (16.227)
Epoch: [18][3040/7045]	Time 0.490 (0.270)	Data 0.431 (0.205)	Loss 5.0862 (5.0018)	Prec@1 3.906 (4.777)	Prec@5 13.672 (16.227)
Epoch: [18][3050/7045]	Time 0.112 (0.270)	Data 0.001 (0.205)	Loss 5.1137 (5.0021)	Prec@1 4.688 (4.774)	Prec@5 17.578 (16.223)
Epoch: [18][3060/7045]	Time 0.612 (0.270)	Data 0.561 (0.205)	Loss 5.0012 (5.0019)	Prec@1 3.516 (4.775)	Prec@5 16.016 (16.229)
Epoch: [18][3070/7045]	Time 0.186 (0.270)	Data 0.136 (0.205)	Loss 4.8670 (5.0017)	Prec@1 3.906 (4.776)	Prec@5 18.750 (16.235)
Epoch: [18][3080/7045]	Time 0.553 (0.270)	Data 0.503 (0.205)	Loss 4.9417 (5.0017)	Prec@1 4.297 (4.775)	Prec@5 18.359 (16.233)
Epoch: [18][3090/7045]	Time 0.109 (0.270)	Data 0.058 (0.205)	Loss 5.0664 (5.0016)	Prec@1 3.906 (4.775)	Prec@5 16.406 (16.237)
Epoch: [18][3100/7045]	Time 0.284 (0.271)	Data 0.232 (0.205)	Loss 5.0016 (5.0016)	Prec@1 5.469 (4.775)	Prec@5 17.188 (16.237)
Epoch: [18][3110/7045]	Time 0.377 (0.271)	Data 0.326 (0.205)	Loss 4.8840 (5.0016)	Prec@1 3.906 (4.776)	Prec@5 16.016 (16.235)
Epoch: [18][3120/7045]	Time 0.103 (0.270)	Data 0.051 (0.205)	Loss 5.0087 (5.0015)	Prec@1 3.906 (4.775)	Prec@5 16.406 (16.239)
Epoch: [18][3130/7045]	Time 0.534 (0.270)	Data 0.484 (0.205)	Loss 4.9296 (5.0013)	Prec@1 5.469 (4.775)	Prec@5 16.797 (16.242)
Epoch: [18][3140/7045]	Time 0.100 (0.270)	Data 0.011 (0.205)	Loss 4.9343 (5.0012)	Prec@1 5.469 (4.775)	Prec@5 18.359 (16.244)
Epoch: [18][3150/7045]	Time 0.448 (0.270)	Data 0.397 (0.205)	Loss 5.0097 (5.0012)	Prec@1 6.250 (4.775)	Prec@5 15.234 (16.243)
Epoch: [18][3160/7045]	Time 0.109 (0.270)	Data 0.057 (0.205)	Loss 5.1488 (5.0011)	Prec@1 5.859 (4.777)	Prec@5 13.281 (16.246)
Epoch: [18][3170/7045]	Time 0.465 (0.271)	Data 0.414 (0.206)	Loss 5.0823 (5.0010)	Prec@1 3.516 (4.778)	Prec@5 14.453 (16.246)
Epoch: [18][3180/7045]	Time 0.115 (0.271)	Data 0.064 (0.206)	Loss 4.8397 (5.0011)	Prec@1 6.641 (4.775)	Prec@5 20.312 (16.244)
Epoch: [18][3190/7045]	Time 0.102 (0.271)	Data 0.001 (0.206)	Loss 5.0006 (5.0011)	Prec@1 4.297 (4.776)	Prec@5 14.844 (16.247)
Epoch: [18][3200/7045]	Time 0.104 (0.271)	Data 0.052 (0.206)	Loss 5.1180 (5.0010)	Prec@1 6.250 (4.776)	Prec@5 18.750 (16.250)
Epoch: [18][3210/7045]	Time 0.564 (0.271)	Data 0.512 (0.206)	Loss 4.8919 (5.0010)	Prec@1 8.594 (4.778)	Prec@5 18.359 (16.251)
Epoch: [18][3220/7045]	Time 0.119 (0.271)	Data 0.068 (0.206)	Loss 5.1062 (5.0011)	Prec@1 3.125 (4.778)	Prec@5 14.062 (16.251)
Epoch: [18][3230/7045]	Time 0.471 (0.271)	Data 0.420 (0.206)	Loss 4.9929 (5.0011)	Prec@1 5.078 (4.776)	Prec@5 17.578 (16.252)
Epoch: [18][3240/7045]	Time 0.102 (0.271)	Data 0.001 (0.206)	Loss 5.1139 (5.0011)	Prec@1 4.688 (4.777)	Prec@5 16.797 (16.252)
Epoch: [18][3250/7045]	Time 0.170 (0.271)	Data 0.119 (0.206)	Loss 5.0616 (5.0011)	Prec@1 4.688 (4.777)	Prec@5 14.453 (16.252)
Epoch: [18][3260/7045]	Time 0.113 (0.271)	Data 0.062 (0.206)	Loss 4.8512 (5.0010)	Prec@1 4.688 (4.776)	Prec@5 21.094 (16.251)
Epoch: [18][3270/7045]	Time 0.238 (0.271)	Data 0.186 (0.206)	Loss 4.9122 (5.0011)	Prec@1 5.859 (4.777)	Prec@5 17.969 (16.251)
Epoch: [18][3280/7045]	Time 0.144 (0.271)	Data 0.091 (0.206)	Loss 5.0112 (5.0011)	Prec@1 4.688 (4.777)	Prec@5 14.844 (16.253)
Epoch: [18][3290/7045]	Time 0.449 (0.271)	Data 0.391 (0.206)	Loss 4.9103 (5.0012)	Prec@1 6.641 (4.775)	Prec@5 19.922 (16.253)
Epoch: [18][3300/7045]	Time 0.109 (0.271)	Data 0.001 (0.206)	Loss 5.0523 (5.0012)	Prec@1 3.125 (4.774)	Prec@5 16.406 (16.251)
Epoch: [18][3310/7045]	Time 0.397 (0.271)	Data 0.346 (0.206)	Loss 4.9133 (5.0010)	Prec@1 3.125 (4.775)	Prec@5 14.844 (16.255)
Epoch: [18][3320/7045]	Time 0.168 (0.271)	Data 0.117 (0.206)	Loss 4.9015 (5.0010)	Prec@1 5.078 (4.774)	Prec@5 19.531 (16.259)
Epoch: [18][3330/7045]	Time 0.102 (0.271)	Data 0.014 (0.206)	Loss 5.0352 (5.0009)	Prec@1 4.297 (4.776)	Prec@5 15.625 (16.262)
Epoch: [18][3340/7045]	Time 0.253 (0.271)	Data 0.200 (0.206)	Loss 5.0473 (5.0010)	Prec@1 5.859 (4.773)	Prec@5 14.844 (16.260)
Epoch: [18][3350/7045]	Time 0.100 (0.271)	Data 0.020 (0.206)	Loss 4.9273 (5.0010)	Prec@1 5.469 (4.775)	Prec@5 16.406 (16.258)
Epoch: [18][3360/7045]	Time 0.102 (0.271)	Data 0.005 (0.206)	Loss 5.0542 (5.0012)	Prec@1 4.297 (4.774)	Prec@5 17.969 (16.253)
Epoch: [18][3370/7045]	Time 0.115 (0.271)	Data 0.064 (0.206)	Loss 5.0831 (5.0013)	Prec@1 5.078 (4.774)	Prec@5 14.062 (16.252)
Epoch: [18][3380/7045]	Time 0.121 (0.271)	Data 0.071 (0.206)	Loss 5.1308 (5.0015)	Prec@1 3.906 (4.772)	Prec@5 11.719 (16.248)
Epoch: [18][3390/7045]	Time 0.366 (0.271)	Data 0.314 (0.206)	Loss 5.0975 (5.0016)	Prec@1 4.688 (4.772)	Prec@5 14.453 (16.251)
Epoch: [18][3400/7045]	Time 0.296 (0.271)	Data 0.245 (0.206)	Loss 4.9549 (5.0016)	Prec@1 3.906 (4.771)	Prec@5 17.578 (16.249)
Epoch: [18][3410/7045]	Time 0.107 (0.271)	Data 0.055 (0.206)	Loss 5.2230 (5.0017)	Prec@1 2.734 (4.769)	Prec@5 8.203 (16.245)
Epoch: [18][3420/7045]	Time 0.501 (0.271)	Data 0.441 (0.206)	Loss 5.0814 (5.0019)	Prec@1 7.422 (4.768)	Prec@5 15.625 (16.240)
Epoch: [18][3430/7045]	Time 0.126 (0.271)	Data 0.066 (0.206)	Loss 5.0913 (5.0020)	Prec@1 3.906 (4.766)	Prec@5 16.797 (16.238)
Epoch: [18][3440/7045]	Time 0.681 (0.271)	Data 0.630 (0.206)	Loss 5.0482 (5.0022)	Prec@1 4.297 (4.763)	Prec@5 15.625 (16.235)
Epoch: [18][3450/7045]	Time 0.258 (0.271)	Data 0.207 (0.206)	Loss 5.0267 (5.0023)	Prec@1 3.906 (4.763)	Prec@5 17.188 (16.236)
Epoch: [18][3460/7045]	Time 0.347 (0.270)	Data 0.294 (0.206)	Loss 4.9754 (5.0023)	Prec@1 8.984 (4.764)	Prec@5 20.703 (16.238)
Epoch: [18][3470/7045]	Time 0.613 (0.270)	Data 0.563 (0.206)	Loss 4.9965 (5.0023)	Prec@1 5.078 (4.763)	Prec@5 19.922 (16.237)
Epoch: [18][3480/7045]	Time 0.212 (0.270)	Data 0.161 (0.205)	Loss 5.0064 (5.0024)	Prec@1 4.688 (4.762)	Prec@5 15.625 (16.237)
Epoch: [18][3490/7045]	Time 0.661 (0.270)	Data 0.604 (0.206)	Loss 5.0215 (5.0022)	Prec@1 5.859 (4.762)	Prec@5 16.016 (16.241)
Epoch: [18][3500/7045]	Time 0.102 (0.270)	Data 0.048 (0.205)	Loss 4.9520 (5.0020)	Prec@1 5.859 (4.764)	Prec@5 15.234 (16.246)
Epoch: [18][3510/7045]	Time 0.557 (0.270)	Data 0.506 (0.205)	Loss 5.0939 (5.0021)	Prec@1 2.344 (4.762)	Prec@5 14.453 (16.245)
Epoch: [18][3520/7045]	Time 0.098 (0.270)	Data 0.001 (0.205)	Loss 5.3391 (5.0022)	Prec@1 2.734 (4.763)	Prec@5 10.156 (16.244)
Epoch: [18][3530/7045]	Time 0.294 (0.270)	Data 0.243 (0.205)	Loss 4.9685 (5.0021)	Prec@1 2.734 (4.762)	Prec@5 12.891 (16.242)
Epoch: [18][3540/7045]	Time 0.111 (0.270)	Data 0.012 (0.205)	Loss 4.9844 (5.0020)	Prec@1 4.688 (4.763)	Prec@5 15.625 (16.238)
Epoch: [18][3550/7045]	Time 0.104 (0.270)	Data 0.051 (0.205)	Loss 4.8684 (5.0019)	Prec@1 5.469 (4.765)	Prec@5 18.750 (16.239)
Epoch: [18][3560/7045]	Time 0.101 (0.270)	Data 0.001 (0.205)	Loss 4.9646 (5.0019)	Prec@1 2.734 (4.765)	Prec@5 16.016 (16.238)
Epoch: [18][3570/7045]	Time 0.260 (0.270)	Data 0.209 (0.205)	Loss 5.0085 (5.0019)	Prec@1 8.203 (4.765)	Prec@5 18.750 (16.239)
Epoch: [18][3580/7045]	Time 0.486 (0.270)	Data 0.435 (0.205)	Loss 4.9966 (5.0017)	Prec@1 5.469 (4.765)	Prec@5 17.188 (16.243)
Epoch: [18][3590/7045]	Time 0.109 (0.270)	Data 0.001 (0.205)	Loss 4.8735 (5.0015)	Prec@1 7.031 (4.767)	Prec@5 19.141 (16.251)
Epoch: [18][3600/7045]	Time 0.516 (0.270)	Data 0.464 (0.205)	Loss 4.9583 (5.0016)	Prec@1 5.078 (4.764)	Prec@5 16.797 (16.250)
Epoch: [18][3610/7045]	Time 0.285 (0.270)	Data 0.235 (0.205)	Loss 5.0131 (5.0017)	Prec@1 3.516 (4.765)	Prec@5 15.234 (16.250)
Epoch: [18][3620/7045]	Time 0.226 (0.270)	Data 0.174 (0.205)	Loss 4.9717 (5.0017)	Prec@1 3.516 (4.765)	Prec@5 14.844 (16.249)
Epoch: [18][3630/7045]	Time 0.102 (0.270)	Data 0.001 (0.205)	Loss 4.9997 (5.0015)	Prec@1 3.906 (4.765)	Prec@5 14.062 (16.250)
Epoch: [18][3640/7045]	Time 0.331 (0.270)	Data 0.279 (0.205)	Loss 4.9510 (5.0014)	Prec@1 4.688 (4.767)	Prec@5 19.922 (16.255)
Epoch: [18][3650/7045]	Time 0.110 (0.270)	Data 0.004 (0.205)	Loss 4.8836 (5.0014)	Prec@1 6.641 (4.767)	Prec@5 16.797 (16.255)
Epoch: [18][3660/7045]	Time 0.265 (0.270)	Data 0.213 (0.205)	Loss 5.0094 (5.0012)	Prec@1 4.688 (4.767)	Prec@5 15.625 (16.257)
Epoch: [18][3670/7045]	Time 0.238 (0.270)	Data 0.188 (0.205)	Loss 4.8085 (5.0009)	Prec@1 3.516 (4.769)	Prec@5 23.828 (16.263)
Epoch: [18][3680/7045]	Time 0.102 (0.269)	Data 0.011 (0.204)	Loss 5.2498 (5.0010)	Prec@1 1.953 (4.767)	Prec@5 8.594 (16.261)
Epoch: [18][3690/7045]	Time 0.103 (0.270)	Data 0.011 (0.204)	Loss 4.9841 (5.0011)	Prec@1 5.078 (4.766)	Prec@5 16.797 (16.261)
Epoch: [18][3700/7045]	Time 0.105 (0.269)	Data 0.053 (0.204)	Loss 5.0405 (5.0011)	Prec@1 1.562 (4.765)	Prec@5 13.672 (16.259)
Epoch: [18][3710/7045]	Time 0.113 (0.269)	Data 0.061 (0.204)	Loss 5.0595 (5.0011)	Prec@1 3.125 (4.763)	Prec@5 14.844 (16.260)
Epoch: [18][3720/7045]	Time 0.110 (0.269)	Data 0.001 (0.204)	Loss 4.8910 (5.0011)	Prec@1 5.859 (4.761)	Prec@5 17.969 (16.257)
Epoch: [18][3730/7045]	Time 0.108 (0.269)	Data 0.055 (0.204)	Loss 5.0269 (5.0011)	Prec@1 3.125 (4.760)	Prec@5 13.672 (16.256)
Epoch: [18][3740/7045]	Time 0.100 (0.270)	Data 0.002 (0.205)	Loss 5.0142 (5.0010)	Prec@1 5.469 (4.760)	Prec@5 16.406 (16.257)
Epoch: [18][3750/7045]	Time 0.245 (0.269)	Data 0.195 (0.204)	Loss 5.0650 (5.0008)	Prec@1 5.859 (4.762)	Prec@5 16.016 (16.263)
Epoch: [18][3760/7045]	Time 0.132 (0.269)	Data 0.081 (0.204)	Loss 5.0253 (5.0007)	Prec@1 3.125 (4.761)	Prec@5 15.234 (16.264)
Epoch: [18][3770/7045]	Time 0.747 (0.269)	Data 0.684 (0.204)	Loss 4.9812 (5.0006)	Prec@1 6.641 (4.761)	Prec@5 17.188 (16.266)
Epoch: [18][3780/7045]	Time 0.102 (0.269)	Data 0.018 (0.204)	Loss 4.9348 (5.0004)	Prec@1 3.906 (4.762)	Prec@5 13.672 (16.269)
Epoch: [18][3790/7045]	Time 0.353 (0.269)	Data 0.301 (0.204)	Loss 4.8188 (5.0003)	Prec@1 5.078 (4.761)	Prec@5 19.531 (16.269)
Epoch: [18][3800/7045]	Time 0.115 (0.269)	Data 0.065 (0.204)	Loss 4.9635 (5.0003)	Prec@1 5.859 (4.762)	Prec@5 16.406 (16.270)
Epoch: [18][3810/7045]	Time 0.134 (0.269)	Data 0.082 (0.204)	Loss 4.9377 (5.0002)	Prec@1 2.734 (4.761)	Prec@5 17.188 (16.267)
Epoch: [18][3820/7045]	Time 0.381 (0.270)	Data 0.330 (0.205)	Loss 4.9041 (4.9999)	Prec@1 3.906 (4.760)	Prec@5 17.188 (16.268)
Epoch: [18][3830/7045]	Time 0.314 (0.270)	Data 0.254 (0.205)	Loss 4.8861 (4.9998)	Prec@1 5.859 (4.762)	Prec@5 17.969 (16.268)
Epoch: [18][3840/7045]	Time 0.099 (0.270)	Data 0.047 (0.205)	Loss 5.1122 (4.9998)	Prec@1 2.734 (4.761)	Prec@5 15.625 (16.267)
Epoch: [18][3850/7045]	Time 0.598 (0.270)	Data 0.543 (0.205)	Loss 4.9499 (4.9998)	Prec@1 4.297 (4.761)	Prec@5 14.062 (16.268)
Epoch: [18][3860/7045]	Time 0.276 (0.270)	Data 0.223 (0.205)	Loss 5.0689 (4.9999)	Prec@1 3.125 (4.761)	Prec@5 12.500 (16.268)
Epoch: [18][3870/7045]	Time 0.181 (0.270)	Data 0.129 (0.205)	Loss 4.8929 (4.9999)	Prec@1 7.422 (4.761)	Prec@5 21.094 (16.267)
Epoch: [18][3880/7045]	Time 0.372 (0.270)	Data 0.321 (0.205)	Loss 4.8343 (4.9998)	Prec@1 5.469 (4.762)	Prec@5 16.016 (16.268)
Epoch: [18][3890/7045]	Time 0.102 (0.270)	Data 0.001 (0.205)	Loss 5.0303 (4.9998)	Prec@1 5.859 (4.763)	Prec@5 19.141 (16.268)
Epoch: [18][3900/7045]	Time 0.224 (0.270)	Data 0.166 (0.205)	Loss 5.0059 (4.9999)	Prec@1 4.297 (4.763)	Prec@5 14.844 (16.267)
Epoch: [18][3910/7045]	Time 0.102 (0.270)	Data 0.010 (0.205)	Loss 4.9794 (4.9999)	Prec@1 4.688 (4.763)	Prec@5 15.234 (16.266)
Epoch: [18][3920/7045]	Time 0.162 (0.270)	Data 0.111 (0.205)	Loss 4.9410 (4.9998)	Prec@1 6.250 (4.764)	Prec@5 17.969 (16.267)
Epoch: [18][3930/7045]	Time 0.249 (0.270)	Data 0.199 (0.205)	Loss 4.8975 (4.9997)	Prec@1 7.422 (4.765)	Prec@5 17.188 (16.269)
Epoch: [18][3940/7045]	Time 0.101 (0.270)	Data 0.013 (0.205)	Loss 5.0589 (4.9996)	Prec@1 4.297 (4.766)	Prec@5 12.500 (16.272)
Epoch: [18][3950/7045]	Time 0.115 (0.270)	Data 0.055 (0.205)	Loss 5.0198 (4.9997)	Prec@1 5.859 (4.766)	Prec@5 14.453 (16.272)
Epoch: [18][3960/7045]	Time 0.106 (0.270)	Data 0.051 (0.205)	Loss 5.1130 (4.9998)	Prec@1 5.469 (4.765)	Prec@5 15.234 (16.268)
Epoch: [18][3970/7045]	Time 0.110 (0.270)	Data 0.049 (0.205)	Loss 5.1203 (5.0000)	Prec@1 3.125 (4.763)	Prec@5 11.719 (16.264)
Epoch: [18][3980/7045]	Time 0.169 (0.270)	Data 0.119 (0.205)	Loss 4.9290 (5.0000)	Prec@1 6.641 (4.763)	Prec@5 17.188 (16.265)
Epoch: [18][3990/7045]	Time 0.387 (0.270)	Data 0.337 (0.205)	Loss 4.8238 (4.9999)	Prec@1 7.422 (4.764)	Prec@5 19.922 (16.266)
Epoch: [18][4000/7045]	Time 0.101 (0.270)	Data 0.022 (0.205)	Loss 5.0305 (4.9999)	Prec@1 5.469 (4.766)	Prec@5 14.844 (16.267)
Epoch: [18][4010/7045]	Time 0.248 (0.270)	Data 0.198 (0.205)	Loss 5.0579 (5.0000)	Prec@1 3.906 (4.767)	Prec@5 13.281 (16.265)
Epoch: [18][4020/7045]	Time 0.361 (0.270)	Data 0.310 (0.205)	Loss 4.9913 (4.9999)	Prec@1 2.734 (4.766)	Prec@5 11.328 (16.265)
Epoch: [18][4030/7045]	Time 0.100 (0.270)	Data 0.001 (0.205)	Loss 5.0165 (4.9999)	Prec@1 5.469 (4.765)	Prec@5 16.406 (16.267)
Epoch: [18][4040/7045]	Time 0.102 (0.270)	Data 0.023 (0.205)	Loss 4.9248 (4.9998)	Prec@1 5.469 (4.767)	Prec@5 17.969 (16.269)
Epoch: [18][4050/7045]	Time 0.112 (0.270)	Data 0.061 (0.205)	Loss 4.7896 (4.9996)	Prec@1 7.031 (4.769)	Prec@5 23.828 (16.274)
Epoch: [18][4060/7045]	Time 0.461 (0.270)	Data 0.409 (0.205)	Loss 4.9409 (4.9995)	Prec@1 3.125 (4.768)	Prec@5 18.359 (16.276)
Epoch: [18][4070/7045]	Time 0.102 (0.270)	Data 0.001 (0.205)	Loss 4.9925 (4.9997)	Prec@1 6.641 (4.768)	Prec@5 16.797 (16.271)
Epoch: [18][4080/7045]	Time 0.376 (0.270)	Data 0.325 (0.205)	Loss 5.1183 (4.9999)	Prec@1 2.344 (4.767)	Prec@5 10.547 (16.267)
Epoch: [18][4090/7045]	Time 0.110 (0.270)	Data 0.022 (0.205)	Loss 5.0231 (4.9999)	Prec@1 6.250 (4.767)	Prec@5 17.969 (16.268)
Epoch: [18][4100/7045]	Time 0.197 (0.270)	Data 0.145 (0.205)	Loss 5.1299 (5.0001)	Prec@1 3.125 (4.766)	Prec@5 12.109 (16.264)
Epoch: [18][4110/7045]	Time 0.107 (0.270)	Data 0.056 (0.205)	Loss 5.0814 (5.0002)	Prec@1 5.078 (4.766)	Prec@5 16.406 (16.259)
Epoch: [18][4120/7045]	Time 0.102 (0.270)	Data 0.001 (0.205)	Loss 5.1461 (5.0004)	Prec@1 2.344 (4.763)	Prec@5 12.109 (16.256)
Epoch: [18][4130/7045]	Time 0.101 (0.270)	Data 0.014 (0.205)	Loss 5.0652 (5.0005)	Prec@1 5.078 (4.764)	Prec@5 15.234 (16.256)
Epoch: [18][4140/7045]	Time 0.435 (0.270)	Data 0.384 (0.205)	Loss 4.9989 (5.0005)	Prec@1 5.469 (4.763)	Prec@5 17.188 (16.255)
Epoch: [18][4150/7045]	Time 0.316 (0.270)	Data 0.265 (0.205)	Loss 5.1564 (5.0006)	Prec@1 2.734 (4.763)	Prec@5 15.234 (16.254)
Epoch: [18][4160/7045]	Time 0.101 (0.270)	Data 0.010 (0.205)	Loss 5.1101 (5.0006)	Prec@1 4.297 (4.764)	Prec@5 16.406 (16.252)
Epoch: [18][4170/7045]	Time 0.580 (0.270)	Data 0.521 (0.205)	Loss 5.0483 (5.0007)	Prec@1 3.516 (4.763)	Prec@5 15.234 (16.251)
Epoch: [18][4180/7045]	Time 0.109 (0.270)	Data 0.056 (0.205)	Loss 5.0049 (5.0005)	Prec@1 5.078 (4.763)	Prec@5 20.703 (16.253)
Epoch: [18][4190/7045]	Time 0.865 (0.270)	Data 0.814 (0.205)	Loss 4.9793 (5.0006)	Prec@1 3.125 (4.762)	Prec@5 16.016 (16.251)
Epoch: [18][4200/7045]	Time 0.101 (0.270)	Data 0.001 (0.205)	Loss 5.0350 (5.0007)	Prec@1 5.859 (4.761)	Prec@5 16.797 (16.251)
Epoch: [18][4210/7045]	Time 0.379 (0.270)	Data 0.329 (0.205)	Loss 4.9841 (5.0008)	Prec@1 3.906 (4.761)	Prec@5 11.719 (16.247)
Epoch: [18][4220/7045]	Time 0.304 (0.270)	Data 0.246 (0.205)	Loss 5.0196 (5.0009)	Prec@1 4.297 (4.759)	Prec@5 15.625 (16.245)
Epoch: [18][4230/7045]	Time 0.201 (0.270)	Data 0.150 (0.205)	Loss 5.0550 (5.0009)	Prec@1 4.297 (4.756)	Prec@5 14.844 (16.244)
Epoch: [18][4240/7045]	Time 0.102 (0.270)	Data 0.001 (0.205)	Loss 5.0689 (5.0009)	Prec@1 3.516 (4.756)	Prec@5 15.625 (16.243)
Epoch: [18][4250/7045]	Time 0.456 (0.270)	Data 0.404 (0.205)	Loss 4.9263 (5.0010)	Prec@1 2.344 (4.755)	Prec@5 17.969 (16.241)
Epoch: [18][4260/7045]	Time 0.117 (0.270)	Data 0.066 (0.205)	Loss 5.0623 (5.0010)	Prec@1 4.297 (4.756)	Prec@5 16.406 (16.243)
Epoch: [18][4270/7045]	Time 0.368 (0.270)	Data 0.318 (0.206)	Loss 4.9809 (5.0009)	Prec@1 5.078 (4.757)	Prec@5 16.406 (16.242)
Epoch: [18][4280/7045]	Time 0.420 (0.270)	Data 0.370 (0.206)	Loss 4.9112 (5.0008)	Prec@1 3.125 (4.757)	Prec@5 15.625 (16.242)
Epoch: [18][4290/7045]	Time 0.373 (0.270)	Data 0.322 (0.206)	Loss 4.9507 (5.0007)	Prec@1 5.859 (4.757)	Prec@5 19.141 (16.243)
Epoch: [18][4300/7045]	Time 0.216 (0.270)	Data 0.165 (0.206)	Loss 4.8853 (5.0005)	Prec@1 5.469 (4.758)	Prec@5 18.359 (16.244)
Epoch: [18][4310/7045]	Time 0.101 (0.270)	Data 0.001 (0.206)	Loss 5.1655 (5.0008)	Prec@1 1.562 (4.757)	Prec@5 14.844 (16.240)
Epoch: [18][4320/7045]	Time 0.841 (0.270)	Data 0.789 (0.206)	Loss 5.0123 (5.0009)	Prec@1 4.688 (4.758)	Prec@5 14.844 (16.236)
Epoch: [18][4330/7045]	Time 0.110 (0.270)	Data 0.058 (0.206)	Loss 5.0192 (5.0009)	Prec@1 5.078 (4.755)	Prec@5 12.891 (16.231)
Epoch: [18][4340/7045]	Time 0.104 (0.270)	Data 0.001 (0.206)	Loss 4.9006 (5.0010)	Prec@1 4.688 (4.755)	Prec@5 17.188 (16.231)
Epoch: [18][4350/7045]	Time 0.102 (0.270)	Data 0.001 (0.205)	Loss 4.9746 (5.0010)	Prec@1 3.125 (4.754)	Prec@5 12.891 (16.227)
Epoch: [18][4360/7045]	Time 0.189 (0.270)	Data 0.138 (0.206)	Loss 4.9308 (5.0010)	Prec@1 5.078 (4.753)	Prec@5 15.625 (16.225)
Epoch: [18][4370/7045]	Time 0.544 (0.270)	Data 0.485 (0.206)	Loss 4.9600 (5.0011)	Prec@1 3.906 (4.751)	Prec@5 12.500 (16.221)
Epoch: [18][4380/7045]	Time 0.115 (0.270)	Data 0.064 (0.205)	Loss 5.0030 (5.0012)	Prec@1 2.734 (4.751)	Prec@5 14.844 (16.222)
Epoch: [18][4390/7045]	Time 0.236 (0.270)	Data 0.185 (0.205)	Loss 5.1140 (5.0013)	Prec@1 4.688 (4.751)	Prec@5 15.625 (16.220)
Epoch: [18][4400/7045]	Time 0.402 (0.270)	Data 0.351 (0.206)	Loss 4.9546 (5.0012)	Prec@1 5.859 (4.751)	Prec@5 17.188 (16.221)
Epoch: [18][4410/7045]	Time 0.102 (0.270)	Data 0.001 (0.206)	Loss 4.9788 (5.0014)	Prec@1 7.031 (4.750)	Prec@5 19.531 (16.218)
Epoch: [18][4420/7045]	Time 0.548 (0.270)	Data 0.488 (0.206)	Loss 4.9948 (5.0013)	Prec@1 5.078 (4.751)	Prec@5 16.406 (16.218)
Epoch: [18][4430/7045]	Time 0.273 (0.270)	Data 0.222 (0.206)	Loss 5.1153 (5.0014)	Prec@1 2.344 (4.751)	Prec@5 14.453 (16.219)
Epoch: [18][4440/7045]	Time 0.106 (0.270)	Data 0.053 (0.206)	Loss 4.8084 (5.0013)	Prec@1 5.078 (4.752)	Prec@5 16.797 (16.218)
Epoch: [18][4450/7045]	Time 0.618 (0.270)	Data 0.568 (0.206)	Loss 4.9399 (5.0011)	Prec@1 6.250 (4.754)	Prec@5 19.922 (16.221)
Epoch: [18][4460/7045]	Time 0.157 (0.270)	Data 0.105 (0.206)	Loss 5.0038 (5.0010)	Prec@1 6.250 (4.754)	Prec@5 17.969 (16.221)
Epoch: [18][4470/7045]	Time 0.141 (0.270)	Data 0.089 (0.206)	Loss 4.9935 (5.0011)	Prec@1 5.859 (4.755)	Prec@5 13.672 (16.221)
Epoch: [18][4480/7045]	Time 0.102 (0.270)	Data 0.001 (0.206)	Loss 5.0307 (5.0011)	Prec@1 4.688 (4.755)	Prec@5 17.969 (16.221)
Epoch: [18][4490/7045]	Time 0.102 (0.270)	Data 0.001 (0.206)	Loss 4.9156 (5.0012)	Prec@1 5.078 (4.753)	Prec@5 19.531 (16.221)
Epoch: [18][4500/7045]	Time 0.110 (0.270)	Data 0.001 (0.206)	Loss 4.9927 (5.0011)	Prec@1 4.688 (4.752)	Prec@5 15.234 (16.219)
Epoch: [18][4510/7045]	Time 0.165 (0.270)	Data 0.112 (0.206)	Loss 4.9581 (5.0011)	Prec@1 7.812 (4.752)	Prec@5 18.750 (16.219)
Epoch: [18][4520/7045]	Time 0.102 (0.270)	Data 0.013 (0.206)	Loss 4.9301 (5.0011)	Prec@1 3.906 (4.751)	Prec@5 16.797 (16.217)
Epoch: [18][4530/7045]	Time 0.382 (0.270)	Data 0.331 (0.206)	Loss 5.0007 (5.0011)	Prec@1 3.906 (4.751)	Prec@5 16.016 (16.216)
Epoch: [18][4540/7045]	Time 0.105 (0.270)	Data 0.001 (0.206)	Loss 5.0172 (5.0011)	Prec@1 3.516 (4.752)	Prec@5 15.625 (16.214)
Epoch: [18][4550/7045]	Time 0.590 (0.270)	Data 0.538 (0.206)	Loss 4.9277 (5.0011)	Prec@1 5.469 (4.753)	Prec@5 16.797 (16.214)
Epoch: [18][4560/7045]	Time 0.113 (0.270)	Data 0.001 (0.206)	Loss 5.1781 (5.0013)	Prec@1 2.734 (4.752)	Prec@5 10.547 (16.213)
Epoch: [18][4570/7045]	Time 0.312 (0.270)	Data 0.261 (0.206)	Loss 4.9729 (5.0014)	Prec@1 5.469 (4.752)	Prec@5 17.969 (16.213)
Epoch: [18][4580/7045]	Time 0.724 (0.270)	Data 0.674 (0.206)	Loss 4.9856 (5.0014)	Prec@1 5.469 (4.751)	Prec@5 18.750 (16.214)
Epoch: [18][4590/7045]	Time 0.102 (0.270)	Data 0.001 (0.206)	Loss 4.8520 (5.0013)	Prec@1 8.203 (4.752)	Prec@5 20.703 (16.217)
Epoch: [18][4600/7045]	Time 0.818 (0.270)	Data 0.766 (0.206)	Loss 5.0136 (5.0013)	Prec@1 3.906 (4.753)	Prec@5 16.016 (16.218)
Epoch: [18][4610/7045]	Time 0.103 (0.270)	Data 0.020 (0.206)	Loss 4.9616 (5.0013)	Prec@1 7.031 (4.754)	Prec@5 17.578 (16.217)
Epoch: [18][4620/7045]	Time 0.763 (0.270)	Data 0.712 (0.206)	Loss 5.0153 (5.0013)	Prec@1 4.297 (4.754)	Prec@5 16.016 (16.217)
Epoch: [18][4630/7045]	Time 0.101 (0.270)	Data 0.001 (0.206)	Loss 5.0776 (5.0012)	Prec@1 4.297 (4.755)	Prec@5 16.406 (16.218)
Epoch: [18][4640/7045]	Time 0.413 (0.270)	Data 0.361 (0.206)	Loss 4.9369 (5.0013)	Prec@1 4.688 (4.755)	Prec@5 16.406 (16.217)
Epoch: [18][4650/7045]	Time 0.183 (0.270)	Data 0.130 (0.206)	Loss 5.0084 (5.0012)	Prec@1 6.641 (4.756)	Prec@5 20.312 (16.220)
Epoch: [18][4660/7045]	Time 0.292 (0.270)	Data 0.241 (0.205)	Loss 4.9629 (5.0011)	Prec@1 3.906 (4.757)	Prec@5 19.531 (16.223)
Epoch: [18][4670/7045]	Time 0.276 (0.270)	Data 0.225 (0.205)	Loss 4.7872 (5.0010)	Prec@1 6.641 (4.757)	Prec@5 16.797 (16.221)
Epoch: [18][4680/7045]	Time 0.102 (0.270)	Data 0.008 (0.206)	Loss 4.9755 (5.0011)	Prec@1 4.688 (4.756)	Prec@5 14.844 (16.220)
Epoch: [18][4690/7045]	Time 0.132 (0.270)	Data 0.080 (0.206)	Loss 4.9114 (5.0010)	Prec@1 6.250 (4.755)	Prec@5 18.359 (16.222)
Epoch: [18][4700/7045]	Time 0.115 (0.270)	Data 0.057 (0.206)	Loss 5.0424 (5.0009)	Prec@1 5.469 (4.756)	Prec@5 15.625 (16.226)
Epoch: [18][4710/7045]	Time 0.114 (0.270)	Data 0.062 (0.206)	Loss 4.9460 (5.0009)	Prec@1 5.078 (4.756)	Prec@5 17.578 (16.226)
Epoch: [18][4720/7045]	Time 0.458 (0.270)	Data 0.408 (0.206)	Loss 5.1664 (5.0010)	Prec@1 2.734 (4.756)	Prec@5 11.719 (16.224)
Epoch: [18][4730/7045]	Time 0.101 (0.270)	Data 0.001 (0.206)	Loss 4.9454 (5.0012)	Prec@1 3.516 (4.755)	Prec@5 12.891 (16.221)
Epoch: [18][4740/7045]	Time 0.547 (0.270)	Data 0.496 (0.206)	Loss 5.0270 (5.0014)	Prec@1 2.734 (4.753)	Prec@5 12.500 (16.216)
Epoch: [18][4750/7045]	Time 0.103 (0.270)	Data 0.001 (0.206)	Loss 5.0559 (5.0015)	Prec@1 1.953 (4.752)	Prec@5 14.062 (16.216)
Epoch: [18][4760/7045]	Time 0.366 (0.270)	Data 0.306 (0.206)	Loss 5.0052 (5.0016)	Prec@1 2.734 (4.751)	Prec@5 16.016 (16.213)
Epoch: [18][4770/7045]	Time 0.366 (0.270)	Data 0.314 (0.206)	Loss 5.0055 (5.0017)	Prec@1 3.516 (4.750)	Prec@5 14.062 (16.212)
Epoch: [18][4780/7045]	Time 0.617 (0.270)	Data 0.566 (0.206)	Loss 5.0746 (5.0017)	Prec@1 2.734 (4.750)	Prec@5 13.672 (16.212)
Epoch: [18][4790/7045]	Time 0.101 (0.270)	Data 0.001 (0.206)	Loss 4.8550 (5.0017)	Prec@1 6.641 (4.750)	Prec@5 20.312 (16.212)
Epoch: [18][4800/7045]	Time 0.216 (0.270)	Data 0.165 (0.206)	Loss 4.9197 (5.0016)	Prec@1 3.125 (4.749)	Prec@5 18.359 (16.214)
Epoch: [18][4810/7045]	Time 0.109 (0.270)	Data 0.011 (0.206)	Loss 5.0588 (5.0017)	Prec@1 4.688 (4.748)	Prec@5 17.578 (16.214)
Epoch: [18][4820/7045]	Time 0.365 (0.270)	Data 0.315 (0.206)	Loss 5.1082 (5.0018)	Prec@1 5.078 (4.749)	Prec@5 14.062 (16.215)
Epoch: [18][4830/7045]	Time 0.108 (0.270)	Data 0.008 (0.206)	Loss 5.1853 (5.0019)	Prec@1 3.516 (4.748)	Prec@5 10.547 (16.210)
Epoch: [18][4840/7045]	Time 0.102 (0.270)	Data 0.048 (0.206)	Loss 5.2201 (5.0020)	Prec@1 1.953 (4.746)	Prec@5 14.844 (16.207)
Epoch: [18][4850/7045]	Time 0.103 (0.270)	Data 0.001 (0.206)	Loss 5.0847 (5.0022)	Prec@1 5.469 (4.746)	Prec@5 14.062 (16.205)
Epoch: [18][4860/7045]	Time 0.101 (0.270)	Data 0.001 (0.206)	Loss 4.8886 (5.0023)	Prec@1 5.469 (4.744)	Prec@5 18.750 (16.203)
Epoch: [18][4870/7045]	Time 0.187 (0.270)	Data 0.136 (0.206)	Loss 5.2057 (5.0023)	Prec@1 3.516 (4.744)	Prec@5 12.891 (16.204)
Epoch: [18][4880/7045]	Time 0.348 (0.271)	Data 0.297 (0.206)	Loss 5.0443 (5.0023)	Prec@1 3.125 (4.743)	Prec@5 11.719 (16.202)
Epoch: [18][4890/7045]	Time 0.102 (0.271)	Data 0.001 (0.206)	Loss 5.0423 (5.0024)	Prec@1 3.906 (4.741)	Prec@5 14.453 (16.201)
Epoch: [18][4900/7045]	Time 0.345 (0.271)	Data 0.294 (0.206)	Loss 4.9248 (5.0024)	Prec@1 3.125 (4.741)	Prec@5 13.281 (16.201)
Epoch: [18][4910/7045]	Time 0.103 (0.271)	Data 0.051 (0.206)	Loss 4.9827 (5.0024)	Prec@1 7.422 (4.741)	Prec@5 21.094 (16.202)
Epoch: [18][4920/7045]	Time 0.378 (0.271)	Data 0.328 (0.206)	Loss 4.8963 (5.0024)	Prec@1 6.641 (4.742)	Prec@5 17.969 (16.202)
Epoch: [18][4930/7045]	Time 0.181 (0.271)	Data 0.130 (0.206)	Loss 5.0455 (5.0024)	Prec@1 5.469 (4.742)	Prec@5 16.797 (16.204)
Epoch: [18][4940/7045]	Time 0.300 (0.271)	Data 0.249 (0.206)	Loss 4.9020 (5.0025)	Prec@1 6.250 (4.741)	Prec@5 19.531 (16.204)
Epoch: [18][4950/7045]	Time 0.155 (0.271)	Data 0.104 (0.206)	Loss 5.2481 (5.0026)	Prec@1 2.734 (4.741)	Prec@5 8.984 (16.203)
Epoch: [18][4960/7045]	Time 0.119 (0.271)	Data 0.068 (0.206)	Loss 5.1339 (5.0026)	Prec@1 3.125 (4.740)	Prec@5 16.406 (16.205)
Epoch: [18][4970/7045]	Time 0.247 (0.271)	Data 0.195 (0.206)	Loss 4.9147 (5.0025)	Prec@1 5.469 (4.740)	Prec@5 18.750 (16.206)
Epoch: [18][4980/7045]	Time 0.109 (0.271)	Data 0.056 (0.206)	Loss 5.1044 (5.0025)	Prec@1 3.125 (4.740)	Prec@5 16.406 (16.209)
Epoch: [18][4990/7045]	Time 0.304 (0.271)	Data 0.253 (0.206)	Loss 5.1021 (5.0024)	Prec@1 4.688 (4.742)	Prec@5 14.062 (16.208)
Epoch: [18][5000/7045]	Time 0.174 (0.271)	Data 0.123 (0.207)	Loss 4.9635 (5.0024)	Prec@1 7.031 (4.743)	Prec@5 15.625 (16.208)
Epoch: [18][5010/7045]	Time 0.240 (0.271)	Data 0.189 (0.207)	Loss 4.9674 (5.0023)	Prec@1 7.422 (4.744)	Prec@5 18.359 (16.209)
Epoch: [18][5020/7045]	Time 0.101 (0.271)	Data 0.001 (0.207)	Loss 4.9528 (5.0023)	Prec@1 5.078 (4.744)	Prec@5 14.062 (16.207)
Epoch: [18][5030/7045]	Time 0.147 (0.271)	Data 0.096 (0.207)	Loss 5.1370 (5.0023)	Prec@1 5.469 (4.746)	Prec@5 14.453 (16.208)
Epoch: [18][5040/7045]	Time 0.103 (0.271)	Data 0.001 (0.207)	Loss 5.0117 (5.0023)	Prec@1 4.688 (4.745)	Prec@5 17.188 (16.206)
Epoch: [18][5050/7045]	Time 0.106 (0.271)	Data 0.054 (0.207)	Loss 5.0436 (5.0025)	Prec@1 4.297 (4.743)	Prec@5 15.625 (16.204)
Epoch: [18][5060/7045]	Time 0.246 (0.271)	Data 0.194 (0.207)	Loss 5.1385 (5.0027)	Prec@1 3.516 (4.742)	Prec@5 16.016 (16.203)
Epoch: [18][5070/7045]	Time 0.255 (0.271)	Data 0.205 (0.207)	Loss 5.1096 (5.0027)	Prec@1 1.562 (4.742)	Prec@5 11.719 (16.201)
Epoch: [18][5080/7045]	Time 0.253 (0.271)	Data 0.201 (0.207)	Loss 4.9679 (5.0027)	Prec@1 5.469 (4.742)	Prec@5 17.578 (16.200)
Epoch: [18][5090/7045]	Time 0.491 (0.271)	Data 0.441 (0.207)	Loss 4.9647 (5.0026)	Prec@1 3.125 (4.742)	Prec@5 13.281 (16.201)
Epoch: [18][5100/7045]	Time 0.107 (0.271)	Data 0.006 (0.206)	Loss 4.9699 (5.0026)	Prec@1 4.688 (4.744)	Prec@5 17.578 (16.204)
Epoch: [18][5110/7045]	Time 0.422 (0.271)	Data 0.369 (0.206)	Loss 5.1163 (5.0026)	Prec@1 8.203 (4.746)	Prec@5 17.188 (16.205)
Epoch: [18][5120/7045]	Time 0.101 (0.271)	Data 0.012 (0.206)	Loss 4.9992 (5.0026)	Prec@1 4.297 (4.744)	Prec@5 16.797 (16.204)
Epoch: [18][5130/7045]	Time 0.589 (0.271)	Data 0.539 (0.207)	Loss 4.9983 (5.0027)	Prec@1 7.031 (4.744)	Prec@5 16.406 (16.203)
Epoch: [18][5140/7045]	Time 0.112 (0.271)	Data 0.001 (0.207)	Loss 4.9106 (5.0027)	Prec@1 5.078 (4.744)	Prec@5 18.359 (16.204)
Epoch: [18][5150/7045]	Time 0.222 (0.271)	Data 0.172 (0.207)	Loss 4.9419 (5.0026)	Prec@1 3.906 (4.744)	Prec@5 14.453 (16.206)
Epoch: [18][5160/7045]	Time 0.103 (0.271)	Data 0.010 (0.207)	Loss 4.9505 (5.0025)	Prec@1 4.688 (4.745)	Prec@5 16.797 (16.207)
Epoch: [18][5170/7045]	Time 0.112 (0.271)	Data 0.059 (0.207)	Loss 4.8241 (5.0025)	Prec@1 3.906 (4.745)	Prec@5 17.188 (16.207)
Epoch: [18][5180/7045]	Time 0.162 (0.271)	Data 0.108 (0.207)	Loss 5.1146 (5.0024)	Prec@1 3.906 (4.745)	Prec@5 12.500 (16.206)
Epoch: [18][5190/7045]	Time 0.266 (0.271)	Data 0.214 (0.207)	Loss 4.9928 (5.0026)	Prec@1 3.906 (4.744)	Prec@5 19.141 (16.205)
Epoch: [18][5200/7045]	Time 0.102 (0.271)	Data 0.001 (0.207)	Loss 4.9754 (5.0025)	Prec@1 4.297 (4.745)	Prec@5 14.844 (16.204)
Epoch: [18][5210/7045]	Time 0.110 (0.271)	Data 0.057 (0.207)	Loss 5.1270 (5.0026)	Prec@1 3.906 (4.744)	Prec@5 14.453 (16.203)
Epoch: [18][5220/7045]	Time 0.355 (0.271)	Data 0.303 (0.207)	Loss 5.1299 (5.0026)	Prec@1 5.078 (4.744)	Prec@5 15.625 (16.203)
Epoch: [18][5230/7045]	Time 0.165 (0.271)	Data 0.114 (0.207)	Loss 4.9412 (5.0026)	Prec@1 3.516 (4.743)	Prec@5 14.453 (16.202)
Epoch: [18][5240/7045]	Time 0.277 (0.271)	Data 0.226 (0.207)	Loss 4.9439 (5.0025)	Prec@1 6.250 (4.744)	Prec@5 17.969 (16.203)
Epoch: [18][5250/7045]	Time 0.109 (0.271)	Data 0.001 (0.207)	Loss 4.9648 (5.0025)	Prec@1 3.906 (4.745)	Prec@5 15.625 (16.204)
Epoch: [18][5260/7045]	Time 0.102 (0.271)	Data 0.001 (0.207)	Loss 5.1025 (5.0025)	Prec@1 5.859 (4.745)	Prec@5 13.672 (16.203)
Epoch: [18][5270/7045]	Time 0.137 (0.271)	Data 0.086 (0.207)	Loss 5.1438 (5.0025)	Prec@1 2.344 (4.746)	Prec@5 14.844 (16.204)
Epoch: [18][5280/7045]	Time 0.149 (0.271)	Data 0.098 (0.207)	Loss 4.9204 (5.0024)	Prec@1 1.562 (4.745)	Prec@5 16.016 (16.203)
Epoch: [18][5290/7045]	Time 0.325 (0.271)	Data 0.273 (0.207)	Loss 5.0080 (5.0024)	Prec@1 3.906 (4.745)	Prec@5 12.109 (16.203)
Epoch: [18][5300/7045]	Time 0.103 (0.271)	Data 0.001 (0.207)	Loss 4.8731 (5.0024)	Prec@1 5.469 (4.744)	Prec@5 20.703 (16.200)
Epoch: [18][5310/7045]	Time 0.330 (0.271)	Data 0.279 (0.207)	Loss 5.0165 (5.0024)	Prec@1 3.125 (4.745)	Prec@5 16.406 (16.202)
Epoch: [18][5320/7045]	Time 0.197 (0.271)	Data 0.145 (0.207)	Loss 5.1440 (5.0023)	Prec@1 3.906 (4.746)	Prec@5 12.109 (16.202)
Epoch: [18][5330/7045]	Time 0.103 (0.271)	Data 0.050 (0.207)	Loss 4.9203 (5.0023)	Prec@1 6.250 (4.745)	Prec@5 16.406 (16.201)
Epoch: [18][5340/7045]	Time 0.281 (0.271)	Data 0.230 (0.207)	Loss 5.0949 (5.0023)	Prec@1 4.688 (4.747)	Prec@5 17.969 (16.205)
Epoch: [18][5350/7045]	Time 0.101 (0.271)	Data 0.002 (0.207)	Loss 5.0033 (5.0021)	Prec@1 3.906 (4.748)	Prec@5 18.750 (16.209)
Epoch: [18][5360/7045]	Time 0.145 (0.271)	Data 0.094 (0.207)	Loss 4.9541 (5.0021)	Prec@1 2.734 (4.749)	Prec@5 12.500 (16.210)
Epoch: [18][5370/7045]	Time 0.204 (0.271)	Data 0.153 (0.207)	Loss 4.9250 (5.0021)	Prec@1 4.688 (4.748)	Prec@5 15.625 (16.209)
Epoch: [18][5380/7045]	Time 0.131 (0.271)	Data 0.072 (0.207)	Loss 5.0627 (5.0022)	Prec@1 3.516 (4.748)	Prec@5 14.453 (16.208)
Epoch: [18][5390/7045]	Time 0.124 (0.271)	Data 0.072 (0.207)	Loss 5.0598 (5.0022)	Prec@1 3.906 (4.749)	Prec@5 17.188 (16.209)
Epoch: [18][5400/7045]	Time 0.264 (0.271)	Data 0.214 (0.207)	Loss 4.9183 (5.0022)	Prec@1 6.250 (4.749)	Prec@5 20.703 (16.211)
Epoch: [18][5410/7045]	Time 0.147 (0.271)	Data 0.096 (0.207)	Loss 5.1008 (5.0022)	Prec@1 3.516 (4.751)	Prec@5 17.578 (16.212)
Epoch: [18][5420/7045]	Time 0.254 (0.271)	Data 0.201 (0.207)	Loss 5.1027 (5.0023)	Prec@1 3.125 (4.750)	Prec@5 15.625 (16.211)
Epoch: [18][5430/7045]	Time 0.161 (0.271)	Data 0.104 (0.207)	Loss 4.9442 (5.0024)	Prec@1 5.859 (4.751)	Prec@5 19.531 (16.210)
Epoch: [18][5440/7045]	Time 0.102 (0.271)	Data 0.001 (0.207)	Loss 5.0694 (5.0024)	Prec@1 2.344 (4.751)	Prec@5 12.500 (16.212)
Epoch: [18][5450/7045]	Time 0.179 (0.272)	Data 0.128 (0.207)	Loss 4.9781 (5.0023)	Prec@1 4.688 (4.751)	Prec@5 15.234 (16.211)
Epoch: [18][5460/7045]	Time 0.268 (0.272)	Data 0.217 (0.207)	Loss 5.1061 (5.0023)	Prec@1 6.641 (4.751)	Prec@5 18.750 (16.212)
Epoch: [18][5470/7045]	Time 0.142 (0.272)	Data 0.082 (0.207)	Loss 5.1499 (5.0024)	Prec@1 5.469 (4.750)	Prec@5 14.844 (16.211)
Epoch: [18][5480/7045]	Time 0.524 (0.272)	Data 0.473 (0.207)	Loss 4.8004 (5.0025)	Prec@1 7.812 (4.751)	Prec@5 23.438 (16.212)
Epoch: [18][5490/7045]	Time 0.101 (0.272)	Data 0.004 (0.207)	Loss 4.8858 (5.0024)	Prec@1 6.250 (4.750)	Prec@5 21.094 (16.213)
Epoch: [18][5500/7045]	Time 0.142 (0.272)	Data 0.091 (0.207)	Loss 4.9520 (5.0023)	Prec@1 6.641 (4.752)	Prec@5 16.406 (16.214)
Epoch: [18][5510/7045]	Time 0.102 (0.272)	Data 0.001 (0.207)	Loss 5.0492 (5.0022)	Prec@1 4.688 (4.752)	Prec@5 16.406 (16.215)
Epoch: [18][5520/7045]	Time 0.355 (0.272)	Data 0.302 (0.207)	Loss 4.9802 (5.0021)	Prec@1 4.297 (4.753)	Prec@5 19.922 (16.217)
Epoch: [18][5530/7045]	Time 0.164 (0.272)	Data 0.113 (0.207)	Loss 5.0001 (5.0022)	Prec@1 6.250 (4.754)	Prec@5 19.922 (16.216)
Epoch: [18][5540/7045]	Time 0.153 (0.272)	Data 0.103 (0.207)	Loss 4.9252 (5.0021)	Prec@1 3.125 (4.755)	Prec@5 16.797 (16.218)
Epoch: [18][5550/7045]	Time 0.209 (0.272)	Data 0.157 (0.207)	Loss 5.1114 (5.0023)	Prec@1 3.516 (4.755)	Prec@5 14.453 (16.215)
Epoch: [18][5560/7045]	Time 0.136 (0.271)	Data 0.084 (0.207)	Loss 4.9961 (5.0024)	Prec@1 3.516 (4.753)	Prec@5 17.578 (16.213)
Epoch: [18][5570/7045]	Time 0.183 (0.271)	Data 0.132 (0.207)	Loss 4.9489 (5.0025)	Prec@1 5.469 (4.751)	Prec@5 21.094 (16.213)
Epoch: [18][5580/7045]	Time 0.101 (0.272)	Data 0.009 (0.207)	Loss 5.0611 (5.0026)	Prec@1 3.906 (4.750)	Prec@5 14.062 (16.213)
Epoch: [18][5590/7045]	Time 0.556 (0.272)	Data 0.505 (0.207)	Loss 5.1205 (5.0027)	Prec@1 4.688 (4.749)	Prec@5 11.719 (16.211)
Epoch: [18][5600/7045]	Time 0.103 (0.272)	Data 0.001 (0.207)	Loss 5.0898 (5.0028)	Prec@1 4.688 (4.748)	Prec@5 14.062 (16.209)
Epoch: [18][5610/7045]	Time 0.646 (0.272)	Data 0.595 (0.207)	Loss 4.9127 (5.0028)	Prec@1 6.641 (4.748)	Prec@5 15.234 (16.208)
Epoch: [18][5620/7045]	Time 0.109 (0.271)	Data 0.008 (0.207)	Loss 5.0863 (5.0029)	Prec@1 1.562 (4.746)	Prec@5 16.406 (16.208)
Epoch: [18][5630/7045]	Time 0.550 (0.272)	Data 0.499 (0.207)	Loss 4.9229 (5.0028)	Prec@1 5.078 (4.747)	Prec@5 16.016 (16.209)
Epoch: [18][5640/7045]	Time 0.116 (0.271)	Data 0.065 (0.207)	Loss 5.0270 (5.0027)	Prec@1 5.859 (4.748)	Prec@5 16.406 (16.213)
Epoch: [18][5650/7045]	Time 0.524 (0.271)	Data 0.465 (0.207)	Loss 4.9892 (5.0027)	Prec@1 4.688 (4.750)	Prec@5 13.281 (16.215)
Epoch: [18][5660/7045]	Time 0.212 (0.271)	Data 0.162 (0.207)	Loss 4.9202 (5.0026)	Prec@1 6.641 (4.751)	Prec@5 19.922 (16.217)
Epoch: [18][5670/7045]	Time 0.443 (0.272)	Data 0.390 (0.208)	Loss 5.0974 (5.0026)	Prec@1 6.250 (4.750)	Prec@5 18.359 (16.218)
Epoch: [18][5680/7045]	Time 0.102 (0.272)	Data 0.017 (0.208)	Loss 5.1347 (5.0027)	Prec@1 4.688 (4.750)	Prec@5 14.062 (16.217)
Epoch: [18][5690/7045]	Time 0.663 (0.272)	Data 0.612 (0.208)	Loss 4.9231 (5.0027)	Prec@1 7.031 (4.751)	Prec@5 17.969 (16.216)
Epoch: [18][5700/7045]	Time 0.100 (0.272)	Data 0.001 (0.208)	Loss 4.9151 (5.0027)	Prec@1 5.078 (4.751)	Prec@5 18.359 (16.218)
Epoch: [18][5710/7045]	Time 0.583 (0.272)	Data 0.523 (0.208)	Loss 5.0564 (5.0027)	Prec@1 3.906 (4.750)	Prec@5 16.406 (16.218)
Epoch: [18][5720/7045]	Time 0.320 (0.272)	Data 0.268 (0.208)	Loss 5.0310 (5.0028)	Prec@1 5.078 (4.751)	Prec@5 16.797 (16.217)
Epoch: [18][5730/7045]	Time 0.374 (0.272)	Data 0.313 (0.208)	Loss 5.0764 (5.0027)	Prec@1 4.297 (4.751)	Prec@5 15.625 (16.219)
Epoch: [18][5740/7045]	Time 0.429 (0.272)	Data 0.378 (0.207)	Loss 5.0572 (5.0027)	Prec@1 3.516 (4.750)	Prec@5 14.844 (16.218)
Epoch: [18][5750/7045]	Time 0.101 (0.272)	Data 0.047 (0.207)	Loss 4.9099 (5.0026)	Prec@1 6.250 (4.751)	Prec@5 19.141 (16.220)
Epoch: [18][5760/7045]	Time 0.227 (0.272)	Data 0.176 (0.207)	Loss 5.0297 (5.0026)	Prec@1 4.297 (4.752)	Prec@5 14.844 (16.220)
Epoch: [18][5770/7045]	Time 0.121 (0.272)	Data 0.070 (0.207)	Loss 4.9657 (5.0025)	Prec@1 7.422 (4.753)	Prec@5 17.578 (16.221)
Epoch: [18][5780/7045]	Time 0.359 (0.272)	Data 0.307 (0.208)	Loss 5.0075 (5.0024)	Prec@1 3.125 (4.753)	Prec@5 18.750 (16.223)
Epoch: [18][5790/7045]	Time 0.102 (0.272)	Data 0.007 (0.208)	Loss 4.8536 (5.0023)	Prec@1 5.469 (4.754)	Prec@5 18.359 (16.225)
Epoch: [18][5800/7045]	Time 0.476 (0.272)	Data 0.424 (0.208)	Loss 4.8712 (5.0023)	Prec@1 7.812 (4.755)	Prec@5 21.094 (16.226)
Epoch: [18][5810/7045]	Time 0.266 (0.272)	Data 0.215 (0.208)	Loss 5.0542 (5.0022)	Prec@1 3.906 (4.755)	Prec@5 17.188 (16.229)
Epoch: [18][5820/7045]	Time 0.690 (0.272)	Data 0.638 (0.208)	Loss 5.0133 (5.0022)	Prec@1 7.422 (4.755)	Prec@5 16.406 (16.229)
Epoch: [18][5830/7045]	Time 0.278 (0.272)	Data 0.219 (0.208)	Loss 5.1446 (5.0023)	Prec@1 5.859 (4.755)	Prec@5 14.844 (16.229)
Epoch: [18][5840/7045]	Time 0.164 (0.272)	Data 0.112 (0.208)	Loss 4.9019 (5.0022)	Prec@1 6.250 (4.755)	Prec@5 18.750 (16.228)
Epoch: [18][5850/7045]	Time 0.596 (0.272)	Data 0.544 (0.208)	Loss 5.1585 (5.0022)	Prec@1 5.859 (4.756)	Prec@5 15.234 (16.230)
Epoch: [18][5860/7045]	Time 0.155 (0.272)	Data 0.104 (0.208)	Loss 4.9900 (5.0023)	Prec@1 5.469 (4.756)	Prec@5 17.578 (16.228)
Epoch: [18][5870/7045]	Time 0.399 (0.272)	Data 0.348 (0.208)	Loss 4.8629 (5.0022)	Prec@1 6.250 (4.755)	Prec@5 19.531 (16.228)
Epoch: [18][5880/7045]	Time 0.102 (0.272)	Data 0.001 (0.208)	Loss 5.0777 (5.0022)	Prec@1 3.906 (4.756)	Prec@5 14.062 (16.229)
Epoch: [18][5890/7045]	Time 0.337 (0.272)	Data 0.280 (0.208)	Loss 4.9509 (5.0022)	Prec@1 7.031 (4.757)	Prec@5 17.578 (16.229)
Epoch: [18][5900/7045]	Time 0.102 (0.272)	Data 0.001 (0.208)	Loss 5.0252 (5.0022)	Prec@1 4.688 (4.756)	Prec@5 16.406 (16.229)
Epoch: [18][5910/7045]	Time 0.200 (0.272)	Data 0.150 (0.208)	Loss 5.0575 (5.0022)	Prec@1 4.688 (4.756)	Prec@5 14.453 (16.229)
Epoch: [18][5920/7045]	Time 0.195 (0.272)	Data 0.143 (0.208)	Loss 4.7887 (5.0022)	Prec@1 5.859 (4.756)	Prec@5 21.875 (16.230)
Epoch: [18][5930/7045]	Time 0.373 (0.272)	Data 0.322 (0.208)	Loss 4.9642 (5.0020)	Prec@1 3.516 (4.756)	Prec@5 16.797 (16.233)
Epoch: [18][5940/7045]	Time 0.113 (0.272)	Data 0.059 (0.208)	Loss 4.9263 (5.0021)	Prec@1 5.078 (4.755)	Prec@5 16.016 (16.233)
Epoch: [18][5950/7045]	Time 0.116 (0.272)	Data 0.057 (0.208)	Loss 5.0450 (5.0022)	Prec@1 5.859 (4.755)	Prec@5 16.406 (16.231)
Epoch: [18][5960/7045]	Time 0.164 (0.272)	Data 0.113 (0.208)	Loss 4.9801 (5.0022)	Prec@1 4.688 (4.755)	Prec@5 18.359 (16.231)
Epoch: [18][5970/7045]	Time 0.097 (0.272)	Data 0.001 (0.208)	Loss 4.8436 (5.0022)	Prec@1 4.688 (4.755)	Prec@5 20.312 (16.232)
Epoch: [18][5980/7045]	Time 0.275 (0.272)	Data 0.224 (0.208)	Loss 5.3077 (5.0023)	Prec@1 3.906 (4.755)	Prec@5 12.500 (16.233)
Epoch: [18][5990/7045]	Time 0.218 (0.272)	Data 0.166 (0.208)	Loss 5.1505 (5.0023)	Prec@1 3.516 (4.753)	Prec@5 10.938 (16.231)
Epoch: [18][6000/7045]	Time 0.101 (0.272)	Data 0.012 (0.208)	Loss 4.8052 (5.0024)	Prec@1 6.250 (4.753)	Prec@5 16.406 (16.228)
Epoch: [18][6010/7045]	Time 0.169 (0.272)	Data 0.118 (0.208)	Loss 4.8464 (5.0024)	Prec@1 6.250 (4.753)	Prec@5 20.703 (16.228)
Epoch: [18][6020/7045]	Time 0.112 (0.272)	Data 0.004 (0.208)	Loss 4.9423 (5.0023)	Prec@1 5.469 (4.754)	Prec@5 17.188 (16.229)
Epoch: [18][6030/7045]	Time 0.102 (0.272)	Data 0.011 (0.208)	Loss 4.9501 (5.0022)	Prec@1 2.734 (4.754)	Prec@5 14.453 (16.228)
Epoch: [18][6040/7045]	Time 0.205 (0.272)	Data 0.154 (0.208)	Loss 5.2231 (5.0022)	Prec@1 3.516 (4.754)	Prec@5 14.453 (16.228)
Epoch: [18][6050/7045]	Time 0.109 (0.272)	Data 0.059 (0.208)	Loss 4.9411 (5.0022)	Prec@1 3.906 (4.754)	Prec@5 16.797 (16.229)
Epoch: [18][6060/7045]	Time 0.102 (0.272)	Data 0.001 (0.208)	Loss 4.9747 (5.0022)	Prec@1 4.688 (4.754)	Prec@5 16.016 (16.226)
Epoch: [18][6070/7045]	Time 0.153 (0.272)	Data 0.102 (0.208)	Loss 4.9498 (5.0022)	Prec@1 8.984 (4.755)	Prec@5 20.312 (16.227)
Epoch: [18][6080/7045]	Time 0.124 (0.272)	Data 0.074 (0.208)	Loss 4.9688 (5.0022)	Prec@1 4.297 (4.754)	Prec@5 16.406 (16.228)
Epoch: [18][6090/7045]	Time 0.443 (0.272)	Data 0.391 (0.208)	Loss 4.9483 (5.0023)	Prec@1 6.641 (4.754)	Prec@5 16.406 (16.226)
Epoch: [18][6100/7045]	Time 0.094 (0.272)	Data 0.001 (0.208)	Loss 5.0643 (5.0023)	Prec@1 6.250 (4.753)	Prec@5 17.188 (16.227)
Epoch: [18][6110/7045]	Time 0.585 (0.272)	Data 0.533 (0.208)	Loss 4.9800 (5.0022)	Prec@1 5.078 (4.754)	Prec@5 13.672 (16.226)
Epoch: [18][6120/7045]	Time 0.101 (0.272)	Data 0.001 (0.208)	Loss 4.9377 (5.0023)	Prec@1 5.469 (4.752)	Prec@5 16.016 (16.224)
Epoch: [18][6130/7045]	Time 0.614 (0.272)	Data 0.563 (0.208)	Loss 5.0561 (5.0024)	Prec@1 3.516 (4.751)	Prec@5 17.188 (16.221)
Epoch: [18][6140/7045]	Time 0.101 (0.272)	Data 0.014 (0.208)	Loss 5.2151 (5.0026)	Prec@1 3.906 (4.750)	Prec@5 13.672 (16.220)
Epoch: [18][6150/7045]	Time 0.441 (0.272)	Data 0.391 (0.208)	Loss 5.2155 (5.0028)	Prec@1 3.125 (4.750)	Prec@5 12.109 (16.218)
Epoch: [18][6160/7045]	Time 0.111 (0.272)	Data 0.001 (0.208)	Loss 5.1222 (5.0030)	Prec@1 3.516 (4.749)	Prec@5 12.109 (16.215)
Epoch: [18][6170/7045]	Time 0.427 (0.272)	Data 0.378 (0.208)	Loss 5.0706 (5.0030)	Prec@1 6.250 (4.749)	Prec@5 14.844 (16.213)
Epoch: [18][6180/7045]	Time 0.125 (0.272)	Data 0.068 (0.208)	Loss 5.0132 (5.0031)	Prec@1 2.734 (4.747)	Prec@5 12.891 (16.211)
Epoch: [18][6190/7045]	Time 0.100 (0.272)	Data 0.001 (0.208)	Loss 4.9194 (5.0031)	Prec@1 3.906 (4.746)	Prec@5 14.062 (16.210)
Epoch: [18][6200/7045]	Time 0.109 (0.272)	Data 0.001 (0.208)	Loss 5.2169 (5.0032)	Prec@1 3.906 (4.746)	Prec@5 12.109 (16.208)
Epoch: [18][6210/7045]	Time 0.429 (0.272)	Data 0.377 (0.208)	Loss 5.2015 (5.0032)	Prec@1 3.906 (4.744)	Prec@5 14.453 (16.207)
Epoch: [18][6220/7045]	Time 0.109 (0.272)	Data 0.013 (0.208)	Loss 5.1003 (5.0034)	Prec@1 4.688 (4.744)	Prec@5 15.625 (16.205)
Epoch: [18][6230/7045]	Time 0.540 (0.272)	Data 0.481 (0.208)	Loss 5.1125 (5.0034)	Prec@1 3.906 (4.744)	Prec@5 13.672 (16.204)
Epoch: [18][6240/7045]	Time 0.106 (0.272)	Data 0.053 (0.208)	Loss 5.0869 (5.0034)	Prec@1 5.078 (4.744)	Prec@5 17.188 (16.205)
Epoch: [18][6250/7045]	Time 0.244 (0.272)	Data 0.193 (0.208)	Loss 5.0936 (5.0035)	Prec@1 5.078 (4.743)	Prec@5 12.891 (16.204)
Epoch: [18][6260/7045]	Time 0.101 (0.272)	Data 0.001 (0.208)	Loss 5.0562 (5.0036)	Prec@1 4.297 (4.743)	Prec@5 15.625 (16.203)
Epoch: [18][6270/7045]	Time 0.147 (0.272)	Data 0.096 (0.208)	Loss 4.9621 (5.0036)	Prec@1 4.297 (4.742)	Prec@5 17.578 (16.202)
Epoch: [18][6280/7045]	Time 0.100 (0.272)	Data 0.001 (0.208)	Loss 4.9809 (5.0036)	Prec@1 5.078 (4.742)	Prec@5 14.453 (16.203)
Epoch: [18][6290/7045]	Time 0.323 (0.272)	Data 0.272 (0.208)	Loss 4.9760 (5.0036)	Prec@1 4.297 (4.744)	Prec@5 14.844 (16.202)
Epoch: [18][6300/7045]	Time 0.129 (0.272)	Data 0.077 (0.208)	Loss 5.0344 (5.0037)	Prec@1 5.078 (4.744)	Prec@5 14.453 (16.203)
Epoch: [18][6310/7045]	Time 0.108 (0.272)	Data 0.056 (0.208)	Loss 4.9467 (5.0036)	Prec@1 4.297 (4.744)	Prec@5 18.750 (16.204)
Epoch: [18][6320/7045]	Time 0.427 (0.272)	Data 0.377 (0.208)	Loss 4.8719 (5.0036)	Prec@1 5.469 (4.744)	Prec@5 18.359 (16.204)
Epoch: [18][6330/7045]	Time 0.531 (0.273)	Data 0.481 (0.208)	Loss 4.9844 (5.0036)	Prec@1 4.688 (4.744)	Prec@5 17.188 (16.204)
Epoch: [18][6340/7045]	Time 0.101 (0.272)	Data 0.001 (0.208)	Loss 4.8807 (5.0036)	Prec@1 5.469 (4.744)	Prec@5 19.141 (16.206)
Epoch: [18][6350/7045]	Time 0.326 (0.272)	Data 0.275 (0.208)	Loss 4.8610 (5.0035)	Prec@1 5.469 (4.745)	Prec@5 19.922 (16.206)
Epoch: [18][6360/7045]	Time 0.367 (0.272)	Data 0.316 (0.208)	Loss 4.8907 (5.0034)	Prec@1 6.250 (4.746)	Prec@5 17.578 (16.206)
Epoch: [18][6370/7045]	Time 0.102 (0.272)	Data 0.001 (0.208)	Loss 5.0476 (5.0034)	Prec@1 5.469 (4.745)	Prec@5 14.453 (16.205)
Epoch: [18][6380/7045]	Time 0.746 (0.272)	Data 0.695 (0.208)	Loss 4.9217 (5.0034)	Prec@1 7.031 (4.746)	Prec@5 21.484 (16.207)
Epoch: [18][6390/7045]	Time 0.109 (0.272)	Data 0.001 (0.208)	Loss 5.1571 (5.0035)	Prec@1 2.344 (4.745)	Prec@5 10.156 (16.205)
Epoch: [18][6400/7045]	Time 0.389 (0.272)	Data 0.339 (0.208)	Loss 4.9885 (5.0035)	Prec@1 3.125 (4.746)	Prec@5 14.062 (16.204)
Epoch: [18][6410/7045]	Time 0.520 (0.272)	Data 0.468 (0.208)	Loss 4.9125 (5.0033)	Prec@1 3.125 (4.746)	Prec@5 14.844 (16.205)
Epoch: [18][6420/7045]	Time 0.102 (0.272)	Data 0.050 (0.208)	Loss 4.9810 (5.0033)	Prec@1 5.859 (4.746)	Prec@5 16.797 (16.207)
Epoch: [18][6430/7045]	Time 0.609 (0.272)	Data 0.557 (0.208)	Loss 5.0832 (5.0033)	Prec@1 3.516 (4.746)	Prec@5 18.750 (16.208)
Epoch: [18][6440/7045]	Time 0.107 (0.272)	Data 0.001 (0.208)	Loss 5.0917 (5.0033)	Prec@1 5.078 (4.745)	Prec@5 19.531 (16.207)
Epoch: [18][6450/7045]	Time 0.553 (0.272)	Data 0.502 (0.208)	Loss 5.0657 (5.0032)	Prec@1 3.906 (4.745)	Prec@5 14.844 (16.207)
Epoch: [18][6460/7045]	Time 0.101 (0.272)	Data 0.011 (0.208)	Loss 5.2125 (5.0033)	Prec@1 3.906 (4.745)	Prec@5 14.062 (16.205)
Epoch: [18][6470/7045]	Time 0.506 (0.272)	Data 0.454 (0.208)	Loss 5.0622 (5.0033)	Prec@1 3.516 (4.745)	Prec@5 14.062 (16.204)
Epoch: [18][6480/7045]	Time 0.447 (0.272)	Data 0.390 (0.208)	Loss 4.9939 (5.0034)	Prec@1 3.906 (4.744)	Prec@5 17.578 (16.204)
Epoch: [18][6490/7045]	Time 0.108 (0.272)	Data 0.001 (0.208)	Loss 4.8181 (5.0034)	Prec@1 5.859 (4.744)	Prec@5 23.047 (16.205)
Epoch: [18][6500/7045]	Time 0.601 (0.272)	Data 0.550 (0.208)	Loss 5.0042 (5.0034)	Prec@1 5.469 (4.743)	Prec@5 16.406 (16.203)
Epoch: [18][6510/7045]	Time 0.201 (0.272)	Data 0.149 (0.208)	Loss 5.1283 (5.0034)	Prec@1 4.688 (4.743)	Prec@5 13.281 (16.202)
Epoch: [18][6520/7045]	Time 0.218 (0.272)	Data 0.166 (0.208)	Loss 5.0547 (5.0035)	Prec@1 4.688 (4.742)	Prec@5 13.281 (16.198)
Epoch: [18][6530/7045]	Time 0.282 (0.272)	Data 0.231 (0.208)	Loss 5.1373 (5.0036)	Prec@1 3.516 (4.741)	Prec@5 14.062 (16.194)
Epoch: [18][6540/7045]	Time 0.102 (0.272)	Data 0.001 (0.208)	Loss 5.1588 (5.0037)	Prec@1 2.734 (4.740)	Prec@5 12.891 (16.191)
Epoch: [18][6550/7045]	Time 0.102 (0.272)	Data 0.010 (0.208)	Loss 5.0519 (5.0037)	Prec@1 3.125 (4.739)	Prec@5 16.797 (16.193)
Epoch: [18][6560/7045]	Time 0.209 (0.272)	Data 0.158 (0.208)	Loss 4.9008 (5.0037)	Prec@1 5.078 (4.739)	Prec@5 20.703 (16.195)
Epoch: [18][6570/7045]	Time 0.102 (0.272)	Data 0.050 (0.208)	Loss 5.1050 (5.0036)	Prec@1 4.688 (4.739)	Prec@5 11.719 (16.195)
Epoch: [18][6580/7045]	Time 0.103 (0.272)	Data 0.001 (0.208)	Loss 5.0074 (5.0036)	Prec@1 3.125 (4.738)	Prec@5 14.062 (16.196)
Epoch: [18][6590/7045]	Time 2.530 (0.273)	Data 2.478 (0.208)	Loss 5.0229 (5.0036)	Prec@1 4.297 (4.738)	Prec@5 16.406 (16.197)
Epoch: [18][6600/7045]	Time 0.159 (0.272)	Data 0.108 (0.208)	Loss 5.1442 (5.0037)	Prec@1 4.688 (4.737)	Prec@5 8.594 (16.194)
Epoch: [18][6610/7045]	Time 0.317 (0.272)	Data 0.266 (0.208)	Loss 5.0815 (5.0038)	Prec@1 5.469 (4.737)	Prec@5 17.969 (16.192)
Epoch: [18][6620/7045]	Time 0.133 (0.272)	Data 0.083 (0.208)	Loss 4.8452 (5.0037)	Prec@1 5.469 (4.738)	Prec@5 21.094 (16.196)
Epoch: [18][6630/7045]	Time 0.206 (0.272)	Data 0.154 (0.208)	Loss 5.1169 (5.0036)	Prec@1 3.516 (4.738)	Prec@5 12.500 (16.197)
Epoch: [18][6640/7045]	Time 0.136 (0.272)	Data 0.084 (0.208)	Loss 4.8828 (5.0035)	Prec@1 5.859 (4.739)	Prec@5 19.141 (16.198)
Epoch: [18][6650/7045]	Time 0.105 (0.272)	Data 0.052 (0.208)	Loss 4.9375 (5.0035)	Prec@1 5.078 (4.740)	Prec@5 17.969 (16.197)
Epoch: [18][6660/7045]	Time 0.338 (0.272)	Data 0.287 (0.208)	Loss 5.0589 (5.0037)	Prec@1 5.469 (4.739)	Prec@5 15.625 (16.195)
Epoch: [18][6670/7045]	Time 0.285 (0.272)	Data 0.234 (0.208)	Loss 4.9930 (5.0036)	Prec@1 5.859 (4.739)	Prec@5 16.797 (16.195)
Epoch: [18][6680/7045]	Time 0.430 (0.272)	Data 0.378 (0.208)	Loss 5.0261 (5.0036)	Prec@1 5.078 (4.741)	Prec@5 14.844 (16.196)
Epoch: [18][6690/7045]	Time 0.225 (0.272)	Data 0.173 (0.208)	Loss 5.0000 (5.0036)	Prec@1 5.078 (4.741)	Prec@5 13.672 (16.195)
Epoch: [18][6700/7045]	Time 0.643 (0.272)	Data 0.591 (0.208)	Loss 5.1044 (5.0038)	Prec@1 3.906 (4.740)	Prec@5 16.016 (16.194)
Epoch: [18][6710/7045]	Time 0.105 (0.272)	Data 0.054 (0.208)	Loss 5.0850 (5.0038)	Prec@1 4.688 (4.740)	Prec@5 16.406 (16.194)
Epoch: [18][6720/7045]	Time 0.434 (0.273)	Data 0.382 (0.208)	Loss 4.9153 (5.0039)	Prec@1 4.297 (4.739)	Prec@5 21.094 (16.194)
Epoch: [18][6730/7045]	Time 0.102 (0.272)	Data 0.012 (0.208)	Loss 4.9466 (5.0039)	Prec@1 5.469 (4.739)	Prec@5 16.016 (16.193)
Epoch: [18][6740/7045]	Time 0.101 (0.272)	Data 0.001 (0.208)	Loss 5.1012 (5.0040)	Prec@1 4.297 (4.739)	Prec@5 16.016 (16.192)
Epoch: [18][6750/7045]	Time 0.203 (0.272)	Data 0.152 (0.208)	Loss 5.1498 (5.0040)	Prec@1 5.469 (4.739)	Prec@5 16.797 (16.192)
Epoch: [18][6760/7045]	Time 0.315 (0.272)	Data 0.261 (0.208)	Loss 4.9829 (5.0042)	Prec@1 5.469 (4.739)	Prec@5 17.188 (16.191)
Epoch: [18][6770/7045]	Time 0.549 (0.272)	Data 0.498 (0.208)	Loss 4.9745 (5.0043)	Prec@1 2.734 (4.738)	Prec@5 17.578 (16.189)
Epoch: [18][6780/7045]	Time 0.367 (0.272)	Data 0.309 (0.208)	Loss 4.8767 (5.0043)	Prec@1 8.203 (4.738)	Prec@5 16.016 (16.188)
Epoch: [18][6790/7045]	Time 0.125 (0.273)	Data 0.074 (0.209)	Loss 5.1453 (5.0043)	Prec@1 3.906 (4.738)	Prec@5 17.578 (16.187)
Epoch: [18][6800/7045]	Time 0.369 (0.273)	Data 0.318 (0.209)	Loss 4.9419 (5.0043)	Prec@1 4.297 (4.737)	Prec@5 19.922 (16.189)
Epoch: [18][6810/7045]	Time 0.110 (0.273)	Data 0.001 (0.209)	Loss 4.9704 (5.0042)	Prec@1 5.859 (4.737)	Prec@5 19.531 (16.191)
Epoch: [18][6820/7045]	Time 0.322 (0.273)	Data 0.272 (0.209)	Loss 4.8494 (5.0042)	Prec@1 3.906 (4.736)	Prec@5 20.703 (16.191)
Epoch: [18][6830/7045]	Time 0.526 (0.273)	Data 0.475 (0.209)	Loss 4.9805 (5.0041)	Prec@1 4.688 (4.737)	Prec@5 14.453 (16.192)
Epoch: [18][6840/7045]	Time 0.204 (0.273)	Data 0.146 (0.208)	Loss 4.9005 (5.0041)	Prec@1 2.344 (4.736)	Prec@5 19.141 (16.192)
Epoch: [18][6850/7045]	Time 0.536 (0.272)	Data 0.485 (0.208)	Loss 5.0578 (5.0042)	Prec@1 3.516 (4.736)	Prec@5 16.406 (16.192)
Epoch: [18][6860/7045]	Time 0.345 (0.272)	Data 0.292 (0.208)	Loss 5.1826 (5.0042)	Prec@1 3.516 (4.736)	Prec@5 14.844 (16.191)
Epoch: [18][6870/7045]	Time 0.146 (0.272)	Data 0.096 (0.208)	Loss 5.0769 (5.0043)	Prec@1 4.297 (4.735)	Prec@5 14.844 (16.189)
Epoch: [18][6880/7045]	Time 0.289 (0.272)	Data 0.238 (0.208)	Loss 4.8914 (5.0044)	Prec@1 6.250 (4.735)	Prec@5 17.578 (16.188)
Epoch: [18][6890/7045]	Time 0.191 (0.272)	Data 0.139 (0.208)	Loss 4.9294 (5.0044)	Prec@1 2.734 (4.735)	Prec@5 16.016 (16.187)
Epoch: [18][6900/7045]	Time 0.101 (0.272)	Data 0.001 (0.208)	Loss 4.9690 (5.0044)	Prec@1 4.688 (4.734)	Prec@5 14.453 (16.188)
Epoch: [18][6910/7045]	Time 0.104 (0.272)	Data 0.001 (0.208)	Loss 5.1465 (5.0043)	Prec@1 4.297 (4.734)	Prec@5 14.844 (16.188)
Epoch: [18][6920/7045]	Time 0.110 (0.273)	Data 0.009 (0.208)	Loss 5.0421 (5.0043)	Prec@1 3.125 (4.734)	Prec@5 10.938 (16.186)
Epoch: [18][6930/7045]	Time 0.101 (0.272)	Data 0.001 (0.208)	Loss 5.0293 (5.0043)	Prec@1 3.125 (4.733)	Prec@5 16.016 (16.186)
Epoch: [18][6940/7045]	Time 0.108 (0.272)	Data 0.005 (0.208)	Loss 4.9675 (5.0043)	Prec@1 4.297 (4.734)	Prec@5 16.797 (16.185)
Epoch: [18][6950/7045]	Time 0.152 (0.272)	Data 0.101 (0.208)	Loss 4.9637 (5.0043)	Prec@1 3.516 (4.734)	Prec@5 17.969 (16.186)
Epoch: [18][6960/7045]	Time 0.234 (0.272)	Data 0.183 (0.208)	Loss 5.2307 (5.0044)	Prec@1 5.078 (4.734)	Prec@5 11.328 (16.184)
Epoch: [18][6970/7045]	Time 0.271 (0.272)	Data 0.220 (0.208)	Loss 5.0339 (5.0045)	Prec@1 4.297 (4.733)	Prec@5 17.188 (16.183)
Epoch: [18][6980/7045]	Time 0.113 (0.272)	Data 0.061 (0.208)	Loss 5.1986 (5.0046)	Prec@1 2.344 (4.732)	Prec@5 10.547 (16.179)
Epoch: [18][6990/7045]	Time 0.557 (0.272)	Data 0.499 (0.208)	Loss 4.9179 (5.0046)	Prec@1 5.859 (4.732)	Prec@5 15.625 (16.178)
Epoch: [18][7000/7045]	Time 0.174 (0.273)	Data 0.124 (0.208)	Loss 5.0753 (5.0046)	Prec@1 2.734 (4.731)	Prec@5 12.109 (16.176)
Epoch: [18][7010/7045]	Time 0.160 (0.272)	Data 0.109 (0.208)	Loss 5.0882 (5.0046)	Prec@1 5.078 (4.731)	Prec@5 15.234 (16.175)
Epoch: [18][7020/7045]	Time 0.133 (0.272)	Data 0.081 (0.208)	Loss 4.8194 (5.0046)	Prec@1 5.078 (4.731)	Prec@5 17.969 (16.175)
Epoch: [18][7030/7045]	Time 0.202 (0.272)	Data 0.152 (0.208)	Loss 4.8921 (5.0046)	Prec@1 5.078 (4.731)	Prec@5 19.531 (16.174)
Epoch: [18][7040/7045]	Time 0.101 (0.272)	Data 0.009 (0.208)	Loss 4.9448 (5.0047)	Prec@1 5.078 (4.730)	Prec@5 17.188 (16.174)
Test: [0/143]	Time 1.253 (1.253)	Loss 4.8160 (4.8160)	Prec@1 6.641 (6.641)	Prec@5 17.578 (17.578)
Test: [10/143]	Time 0.049 (0.262)	Loss 4.8357 (4.9312)	Prec@1 2.734 (3.977)	Prec@5 15.234 (17.045)
Test: [20/143]	Time 0.404 (0.233)	Loss 5.1900 (4.8284)	Prec@1 2.734 (6.324)	Prec@5 14.453 (21.205)
Test: [30/143]	Time 0.069 (0.214)	Loss 5.0181 (4.8259)	Prec@1 0.781 (6.691)	Prec@5 14.453 (21.648)
Test: [40/143]	Time 0.465 (0.213)	Loss 5.2547 (4.8116)	Prec@1 0.391 (7.107)	Prec@5 3.125 (21.770)
Test: [50/143]	Time 0.188 (0.204)	Loss 4.4307 (4.8368)	Prec@1 13.672 (6.641)	Prec@5 33.203 (20.542)
Test: [60/143]	Time 0.061 (0.198)	Loss 5.0147 (4.8217)	Prec@1 4.688 (6.762)	Prec@5 12.891 (20.761)
Test: [70/143]	Time 0.064 (0.195)	Loss 5.1199 (4.8364)	Prec@1 2.344 (6.509)	Prec@5 7.812 (20.153)
Test: [80/143]	Time 0.108 (0.192)	Loss 4.8347 (4.8461)	Prec@1 3.125 (6.178)	Prec@5 12.500 (19.676)
Test: [90/143]	Time 0.067 (0.192)	Loss 5.0434 (4.8525)	Prec@1 3.516 (6.095)	Prec@5 14.062 (19.669)
Test: [100/143]	Time 0.066 (0.189)	Loss 4.3933 (4.8363)	Prec@1 6.250 (6.262)	Prec@5 39.844 (20.274)
Test: [110/143]	Time 0.069 (0.189)	Loss 4.8274 (4.8293)	Prec@1 7.812 (6.503)	Prec@5 21.094 (20.636)
Test: [120/143]	Time 0.193 (0.188)	Loss 4.5767 (4.8168)	Prec@1 5.078 (6.750)	Prec@5 34.766 (21.139)
Test: [130/143]	Time 0.160 (0.188)	Loss 4.6284 (4.8152)	Prec@1 8.594 (6.659)	Prec@5 25.391 (21.034)
Test: [140/143]	Time 0.450 (0.188)	Loss 5.1872 (4.8256)	Prec@1 1.562 (6.472)	Prec@5 5.078 (20.584)
 * Prec@1 6.427 Prec@5 20.529
Epoch: [19][0/7045]	Time 2.620 (2.620)	Data 2.562 (2.562)	Loss 4.9048 (4.9048)	Prec@1 4.297 (4.297)	Prec@5 20.312 (20.312)
Epoch: [19][10/7045]	Time 0.123 (0.432)	Data 0.071 (0.351)	Loss 5.1420 (4.9971)	Prec@1 3.906 (4.830)	Prec@5 16.797 (17.045)
Epoch: [19][20/7045]	Time 0.513 (0.393)	Data 0.461 (0.311)	Loss 5.0255 (5.0352)	Prec@1 3.906 (4.725)	Prec@5 13.672 (16.090)
Epoch: [19][30/7045]	Time 0.111 (0.346)	Data 0.057 (0.271)	Loss 4.9980 (5.0344)	Prec@1 3.125 (4.700)	Prec@5 14.062 (15.852)
Epoch: [19][40/7045]	Time 0.143 (0.369)	Data 0.091 (0.295)	Loss 4.9508 (5.0188)	Prec@1 5.469 (4.811)	Prec@5 17.578 (16.025)
Epoch: [19][50/7045]	Time 0.132 (0.351)	Data 0.080 (0.277)	Loss 4.9640 (5.0078)	Prec@1 3.516 (4.902)	Prec@5 11.719 (15.939)
Epoch: [19][60/7045]	Time 0.234 (0.332)	Data 0.182 (0.260)	Loss 4.9364 (4.9991)	Prec@1 6.250 (4.899)	Prec@5 14.453 (15.958)
Epoch: [19][70/7045]	Time 0.185 (0.324)	Data 0.134 (0.253)	Loss 4.8403 (4.9908)	Prec@1 6.250 (5.001)	Prec@5 17.969 (16.197)
Epoch: [19][80/7045]	Time 0.164 (0.312)	Data 0.115 (0.244)	Loss 4.9378 (4.9877)	Prec@1 5.078 (5.068)	Prec@5 19.531 (16.300)
Epoch: [19][90/7045]	Time 0.269 (0.308)	Data 0.217 (0.240)	Loss 5.0875 (4.9914)	Prec@1 2.344 (4.962)	Prec@5 12.891 (16.183)
Epoch: [19][100/7045]	Time 0.101 (0.301)	Data 0.001 (0.233)	Loss 4.9574 (4.9916)	Prec@1 4.688 (4.943)	Prec@5 17.969 (16.194)
Epoch: [19][110/7045]	Time 0.177 (0.297)	Data 0.125 (0.230)	Loss 5.2775 (4.9950)	Prec@1 3.516 (4.923)	Prec@5 11.328 (16.199)
Epoch: [19][120/7045]	Time 0.309 (0.293)	Data 0.257 (0.227)	Loss 5.1409 (4.9993)	Prec@1 3.125 (4.891)	Prec@5 12.891 (16.151)
Epoch: [19][130/7045]	Time 0.100 (0.289)	Data 0.044 (0.224)	Loss 5.0420 (5.0020)	Prec@1 3.906 (4.887)	Prec@5 14.062 (16.123)
Epoch: [19][140/7045]	Time 0.729 (0.289)	Data 0.678 (0.224)	Loss 4.9896 (5.0010)	Prec@1 3.125 (4.840)	Prec@5 18.359 (16.140)
Epoch: [19][150/7045]	Time 0.122 (0.284)	Data 0.061 (0.217)	Loss 4.9482 (5.0012)	Prec@1 5.859 (4.775)	Prec@5 16.797 (16.109)
Epoch: [19][160/7045]	Time 0.393 (0.283)	Data 0.342 (0.217)	Loss 4.8717 (4.9978)	Prec@1 8.203 (4.826)	Prec@5 20.703 (16.176)
Epoch: [19][170/7045]	Time 0.431 (0.281)	Data 0.378 (0.215)	Loss 4.9486 (4.9979)	Prec@1 6.250 (4.811)	Prec@5 17.188 (16.128)
Epoch: [19][180/7045]	Time 0.203 (0.279)	Data 0.151 (0.213)	Loss 5.1017 (4.9969)	Prec@1 3.125 (4.806)	Prec@5 17.969 (16.186)
Epoch: [19][190/7045]	Time 0.634 (0.278)	Data 0.583 (0.213)	Loss 4.9323 (4.9963)	Prec@1 3.516 (4.820)	Prec@5 17.578 (16.206)
Epoch: [19][200/7045]	Time 0.118 (0.276)	Data 0.067 (0.210)	Loss 4.9447 (4.9954)	Prec@1 4.688 (4.837)	Prec@5 17.969 (16.299)
Epoch: [19][210/7045]	Time 0.587 (0.276)	Data 0.533 (0.209)	Loss 5.0229 (4.9958)	Prec@1 4.297 (4.832)	Prec@5 16.016 (16.310)
Epoch: [19][220/7045]	Time 0.200 (0.273)	Data 0.149 (0.207)	Loss 4.9051 (4.9965)	Prec@1 6.250 (4.847)	Prec@5 15.234 (16.314)
Epoch: [19][230/7045]	Time 0.280 (0.272)	Data 0.221 (0.207)	Loss 4.7794 (4.9951)	Prec@1 5.078 (4.824)	Prec@5 20.703 (16.301)
Epoch: [19][240/7045]	Time 0.405 (0.271)	Data 0.354 (0.206)	Loss 5.0285 (4.9938)	Prec@1 3.516 (4.827)	Prec@5 15.625 (16.319)
Epoch: [19][250/7045]	Time 0.109 (0.271)	Data 0.005 (0.205)	Loss 5.1407 (4.9948)	Prec@1 3.516 (4.824)	Prec@5 14.453 (16.341)
Epoch: [19][260/7045]	Time 0.628 (0.271)	Data 0.569 (0.206)	Loss 4.9131 (4.9970)	Prec@1 4.688 (4.797)	Prec@5 17.969 (16.321)
Epoch: [19][270/7045]	Time 0.214 (0.269)	Data 0.162 (0.204)	Loss 4.8817 (4.9954)	Prec@1 7.812 (4.810)	Prec@5 18.750 (16.363)
Epoch: [19][280/7045]	Time 0.162 (0.269)	Data 0.110 (0.204)	Loss 5.0191 (4.9968)	Prec@1 5.078 (4.820)	Prec@5 16.016 (16.326)
Epoch: [19][290/7045]	Time 0.213 (0.268)	Data 0.162 (0.203)	Loss 5.0565 (4.9971)	Prec@1 5.469 (4.838)	Prec@5 14.453 (16.326)
Epoch: [19][300/7045]	Time 0.133 (0.267)	Data 0.082 (0.203)	Loss 5.0335 (4.9976)	Prec@1 6.250 (4.835)	Prec@5 15.234 (16.310)
Epoch: [19][310/7045]	Time 0.106 (0.267)	Data 0.055 (0.203)	Loss 4.9041 (4.9976)	Prec@1 4.297 (4.802)	Prec@5 16.016 (16.289)
Epoch: [19][320/7045]	Time 0.101 (0.266)	Data 0.001 (0.202)	Loss 5.0288 (4.9983)	Prec@1 2.734 (4.781)	Prec@5 14.453 (16.265)
Epoch: [19][330/7045]	Time 0.236 (0.266)	Data 0.184 (0.202)	Loss 5.0104 (4.9989)	Prec@1 3.906 (4.770)	Prec@5 12.109 (16.250)
Epoch: [19][340/7045]	Time 0.101 (0.265)	Data 0.009 (0.200)	Loss 4.9602 (4.9984)	Prec@1 4.297 (4.755)	Prec@5 16.016 (16.247)
Epoch: [19][350/7045]	Time 0.252 (0.265)	Data 0.201 (0.200)	Loss 5.0285 (5.0006)	Prec@1 6.250 (4.736)	Prec@5 16.406 (16.220)
Epoch: [19][360/7045]	Time 0.102 (0.264)	Data 0.047 (0.200)	Loss 5.1747 (5.0038)	Prec@1 3.906 (4.719)	Prec@5 12.500 (16.175)
Epoch: [19][370/7045]	Time 0.226 (0.264)	Data 0.175 (0.200)	Loss 5.0906 (5.0057)	Prec@1 3.516 (4.723)	Prec@5 14.453 (16.162)
Epoch: [19][380/7045]	Time 0.102 (0.264)	Data 0.012 (0.200)	Loss 4.9086 (5.0062)	Prec@1 6.641 (4.715)	Prec@5 17.969 (16.140)
Epoch: [19][390/7045]	Time 0.101 (0.263)	Data 0.001 (0.199)	Loss 4.8598 (5.0043)	Prec@1 4.297 (4.707)	Prec@5 21.094 (16.181)
Epoch: [19][400/7045]	Time 0.105 (0.264)	Data 0.046 (0.199)	Loss 4.9634 (5.0036)	Prec@1 3.906 (4.700)	Prec@5 10.938 (16.154)
Epoch: [19][410/7045]	Time 0.102 (0.263)	Data 0.001 (0.198)	Loss 4.9249 (5.0031)	Prec@1 5.078 (4.710)	Prec@5 19.922 (16.153)
Epoch: [19][420/7045]	Time 0.108 (0.263)	Data 0.001 (0.197)	Loss 5.0605 (5.0053)	Prec@1 2.734 (4.677)	Prec@5 13.281 (16.109)
Epoch: [19][430/7045]	Time 0.310 (0.262)	Data 0.258 (0.197)	Loss 5.1021 (5.0064)	Prec@1 4.688 (4.670)	Prec@5 16.406 (16.099)
Epoch: [19][440/7045]	Time 0.102 (0.262)	Data 0.008 (0.197)	Loss 4.9601 (5.0071)	Prec@1 5.078 (4.671)	Prec@5 16.016 (16.075)
Epoch: [19][450/7045]	Time 0.444 (0.262)	Data 0.392 (0.197)	Loss 4.9100 (5.0074)	Prec@1 5.469 (4.669)	Prec@5 16.797 (16.069)
Epoch: [19][460/7045]	Time 0.109 (0.262)	Data 0.013 (0.197)	Loss 5.0012 (5.0068)	Prec@1 4.688 (4.677)	Prec@5 16.016 (16.080)
Epoch: [19][470/7045]	Time 0.224 (0.263)	Data 0.173 (0.198)	Loss 4.8534 (5.0062)	Prec@1 6.250 (4.682)	Prec@5 20.312 (16.090)
Epoch: [19][480/7045]	Time 0.109 (0.263)	Data 0.001 (0.198)	Loss 4.9938 (5.0057)	Prec@1 5.859 (4.683)	Prec@5 17.969 (16.103)
Epoch: [19][490/7045]	Time 0.104 (0.262)	Data 0.050 (0.197)	Loss 5.0759 (5.0061)	Prec@1 5.078 (4.694)	Prec@5 16.406 (16.098)
Epoch: [19][500/7045]	Time 0.102 (0.262)	Data 0.014 (0.197)	Loss 5.0391 (5.0059)	Prec@1 5.469 (4.702)	Prec@5 17.188 (16.114)
Epoch: [19][510/7045]	Time 0.144 (0.262)	Data 0.093 (0.197)	Loss 5.0571 (5.0053)	Prec@1 4.297 (4.711)	Prec@5 12.891 (16.146)
Epoch: [19][520/7045]	Time 0.101 (0.261)	Data 0.001 (0.196)	Loss 5.0726 (5.0051)	Prec@1 3.906 (4.709)	Prec@5 13.672 (16.146)
Epoch: [19][530/7045]	Time 0.229 (0.261)	Data 0.177 (0.196)	Loss 5.0579 (5.0062)	Prec@1 3.125 (4.697)	Prec@5 14.844 (16.126)
Epoch: [19][540/7045]	Time 0.100 (0.260)	Data 0.044 (0.196)	Loss 5.0637 (5.0068)	Prec@1 5.078 (4.699)	Prec@5 16.797 (16.135)
Epoch: [19][550/7045]	Time 0.544 (0.261)	Data 0.492 (0.197)	Loss 5.0433 (5.0072)	Prec@1 4.297 (4.699)	Prec@5 12.891 (16.118)
Epoch: [19][560/7045]	Time 0.099 (0.261)	Data 0.046 (0.196)	Loss 5.0434 (5.0072)	Prec@1 4.297 (4.692)	Prec@5 14.453 (16.111)
Epoch: [19][570/7045]	Time 0.668 (0.261)	Data 0.616 (0.197)	Loss 5.0199 (5.0069)	Prec@1 2.734 (4.700)	Prec@5 16.016 (16.122)
Epoch: [19][580/7045]	Time 0.110 (0.260)	Data 0.001 (0.195)	Loss 5.1358 (5.0068)	Prec@1 4.688 (4.711)	Prec@5 13.672 (16.121)
Epoch: [19][590/7045]	Time 0.226 (0.260)	Data 0.170 (0.196)	Loss 5.2117 (5.0085)	Prec@1 3.125 (4.703)	Prec@5 12.500 (16.105)
Epoch: [19][600/7045]	Time 0.229 (0.260)	Data 0.178 (0.195)	Loss 5.1367 (5.0103)	Prec@1 5.078 (4.692)	Prec@5 12.500 (16.064)
Epoch: [19][610/7045]	Time 0.102 (0.260)	Data 0.049 (0.195)	Loss 5.0726 (5.0121)	Prec@1 3.516 (4.680)	Prec@5 13.281 (16.041)
Epoch: [19][620/7045]	Time 0.399 (0.260)	Data 0.348 (0.195)	Loss 5.1151 (5.0126)	Prec@1 4.688 (4.676)	Prec@5 16.406 (16.037)
Epoch: [19][630/7045]	Time 0.164 (0.259)	Data 0.113 (0.195)	Loss 5.0014 (5.0124)	Prec@1 4.297 (4.674)	Prec@5 14.844 (16.048)
Epoch: [19][640/7045]	Time 0.504 (0.260)	Data 0.454 (0.195)	Loss 5.0465 (5.0126)	Prec@1 3.906 (4.658)	Prec@5 16.016 (16.024)
Epoch: [19][650/7045]	Time 0.119 (0.261)	Data 0.067 (0.196)	Loss 5.0178 (5.0129)	Prec@1 4.297 (4.666)	Prec@5 18.359 (16.020)
Epoch: [19][660/7045]	Time 0.412 (0.261)	Data 0.361 (0.197)	Loss 4.9345 (5.0118)	Prec@1 5.469 (4.659)	Prec@5 16.406 (16.029)
Epoch: [19][670/7045]	Time 0.349 (0.261)	Data 0.297 (0.197)	Loss 4.9139 (5.0115)	Prec@1 5.469 (4.658)	Prec@5 18.359 (16.020)
Epoch: [19][680/7045]	Time 0.286 (0.260)	Data 0.236 (0.196)	Loss 5.0666 (5.0122)	Prec@1 5.859 (4.644)	Prec@5 18.359 (16.006)
Epoch: [19][690/7045]	Time 0.305 (0.260)	Data 0.254 (0.196)	Loss 5.0629 (5.0130)	Prec@1 4.688 (4.632)	Prec@5 14.062 (15.984)
Epoch: [19][700/7045]	Time 0.302 (0.260)	Data 0.250 (0.196)	Loss 4.9847 (5.0127)	Prec@1 3.516 (4.636)	Prec@5 16.797 (15.999)
Epoch: [19][710/7045]	Time 0.383 (0.260)	Data 0.331 (0.196)	Loss 4.9978 (5.0119)	Prec@1 5.859 (4.643)	Prec@5 16.016 (16.010)
Epoch: [19][720/7045]	Time 0.100 (0.259)	Data 0.011 (0.196)	Loss 4.9576 (5.0112)	Prec@1 7.031 (4.650)	Prec@5 19.922 (16.024)
Epoch: [19][730/7045]	Time 0.184 (0.259)	Data 0.132 (0.196)	Loss 4.8852 (5.0106)	Prec@1 7.031 (4.662)	Prec@5 20.312 (16.031)
Epoch: [19][740/7045]	Time 0.406 (0.259)	Data 0.356 (0.196)	Loss 4.9286 (5.0101)	Prec@1 5.469 (4.667)	Prec@5 19.141 (16.045)
Epoch: [19][750/7045]	Time 0.101 (0.259)	Data 0.001 (0.195)	Loss 5.0407 (5.0099)	Prec@1 6.641 (4.667)	Prec@5 16.016 (16.039)
Epoch: [19][760/7045]	Time 0.353 (0.259)	Data 0.303 (0.195)	Loss 5.0769 (5.0106)	Prec@1 3.516 (4.665)	Prec@5 16.016 (16.036)
Epoch: [19][770/7045]	Time 0.345 (0.259)	Data 0.294 (0.195)	Loss 5.0565 (5.0112)	Prec@1 4.688 (4.659)	Prec@5 14.062 (16.023)
Epoch: [19][780/7045]	Time 0.148 (0.258)	Data 0.089 (0.195)	Loss 4.9355 (5.0114)	Prec@1 7.031 (4.658)	Prec@5 17.969 (16.025)
Epoch: [19][790/7045]	Time 0.335 (0.258)	Data 0.282 (0.195)	Loss 5.0026 (5.0109)	Prec@1 4.297 (4.666)	Prec@5 15.625 (16.026)
Epoch: [19][800/7045]	Time 1.071 (0.259)	Data 1.020 (0.196)	Loss 4.9825 (5.0111)	Prec@1 3.125 (4.665)	Prec@5 13.281 (16.018)
Epoch: [19][810/7045]	Time 0.393 (0.259)	Data 0.342 (0.196)	Loss 4.9220 (5.0103)	Prec@1 5.859 (4.674)	Prec@5 20.703 (16.041)
Epoch: [19][820/7045]	Time 0.102 (0.259)	Data 0.001 (0.195)	Loss 4.8662 (5.0099)	Prec@1 6.250 (4.685)	Prec@5 21.875 (16.071)
Epoch: [19][830/7045]	Time 0.250 (0.259)	Data 0.198 (0.195)	Loss 5.0313 (5.0098)	Prec@1 4.688 (4.682)	Prec@5 14.062 (16.073)
Epoch: [19][840/7045]	Time 0.102 (0.258)	Data 0.001 (0.194)	Loss 5.0724 (5.0101)	Prec@1 6.250 (4.682)	Prec@5 15.234 (16.076)
Epoch: [19][850/7045]	Time 0.106 (0.259)	Data 0.009 (0.194)	Loss 5.0038 (5.0104)	Prec@1 5.469 (4.683)	Prec@5 20.312 (16.074)
Epoch: [19][860/7045]	Time 0.107 (0.258)	Data 0.054 (0.194)	Loss 4.9359 (5.0098)	Prec@1 4.297 (4.688)	Prec@5 14.062 (16.077)
Epoch: [19][870/7045]	Time 0.102 (0.258)	Data 0.001 (0.194)	Loss 5.1201 (5.0097)	Prec@1 4.297 (4.682)	Prec@5 12.891 (16.073)
Epoch: [19][880/7045]	Time 0.465 (0.259)	Data 0.403 (0.194)	Loss 4.9767 (5.0104)	Prec@1 5.859 (4.676)	Prec@5 17.969 (16.057)
Epoch: [19][890/7045]	Time 0.102 (0.258)	Data 0.002 (0.194)	Loss 5.0263 (5.0105)	Prec@1 4.297 (4.679)	Prec@5 17.188 (16.059)
Epoch: [19][900/7045]	Time 0.540 (0.260)	Data 0.489 (0.195)	Loss 5.0026 (5.0109)	Prec@1 2.344 (4.676)	Prec@5 15.234 (16.051)
Epoch: [19][910/7045]	Time 0.101 (0.259)	Data 0.005 (0.195)	Loss 4.9145 (5.0112)	Prec@1 2.734 (4.669)	Prec@5 16.797 (16.046)
Epoch: [19][920/7045]	Time 0.381 (0.259)	Data 0.329 (0.195)	Loss 4.9128 (5.0112)	Prec@1 6.250 (4.671)	Prec@5 14.844 (16.047)
Epoch: [19][930/7045]	Time 0.153 (0.259)	Data 0.102 (0.195)	Loss 5.0155 (5.0112)	Prec@1 2.734 (4.664)	Prec@5 15.234 (16.053)
Epoch: [19][940/7045]	Time 0.103 (0.259)	Data 0.050 (0.195)	Loss 4.9554 (5.0110)	Prec@1 6.641 (4.669)	Prec@5 17.578 (16.055)
Epoch: [19][950/7045]	Time 0.365 (0.259)	Data 0.312 (0.195)	Loss 4.8752 (5.0107)	Prec@1 7.422 (4.666)	Prec@5 18.359 (16.043)
Epoch: [19][960/7045]	Time 0.102 (0.259)	Data 0.001 (0.195)	Loss 4.9959 (5.0104)	Prec@1 7.031 (4.674)	Prec@5 16.797 (16.054)
Epoch: [19][970/7045]	Time 0.298 (0.259)	Data 0.247 (0.195)	Loss 5.0122 (5.0101)	Prec@1 4.297 (4.673)	Prec@5 14.844 (16.058)
Epoch: [19][980/7045]	Time 0.360 (0.261)	Data 0.308 (0.197)	Loss 5.1360 (5.0110)	Prec@1 5.469 (4.670)	Prec@5 13.281 (16.040)
Epoch: [19][990/7045]	Time 0.371 (0.260)	Data 0.319 (0.196)	Loss 5.0645 (5.0110)	Prec@1 2.734 (4.666)	Prec@5 13.281 (16.026)
Epoch: [19][1000/7045]	Time 0.359 (0.260)	Data 0.307 (0.196)	Loss 5.0360 (5.0109)	Prec@1 5.078 (4.661)	Prec@5 14.453 (16.026)
Epoch: [19][1010/7045]	Time 0.379 (0.260)	Data 0.318 (0.196)	Loss 5.0181 (5.0106)	Prec@1 2.344 (4.652)	Prec@5 14.453 (16.017)
Epoch: [19][1020/7045]	Time 0.314 (0.260)	Data 0.263 (0.196)	Loss 5.0148 (5.0106)	Prec@1 1.953 (4.655)	Prec@5 11.328 (16.019)
Epoch: [19][1030/7045]	Time 0.467 (0.260)	Data 0.416 (0.196)	Loss 5.0606 (5.0110)	Prec@1 5.078 (4.656)	Prec@5 17.578 (16.018)
Epoch: [19][1040/7045]	Time 0.101 (0.259)	Data 0.049 (0.196)	Loss 4.9937 (5.0108)	Prec@1 3.125 (4.651)	Prec@5 16.016 (16.014)
Epoch: [19][1050/7045]	Time 0.474 (0.261)	Data 0.422 (0.197)	Loss 5.0325 (5.0106)	Prec@1 5.859 (4.651)	Prec@5 19.141 (16.010)
Epoch: [19][1060/7045]	Time 0.102 (0.260)	Data 0.006 (0.197)	Loss 4.9476 (5.0105)	Prec@1 4.297 (4.658)	Prec@5 14.844 (16.015)
Epoch: [19][1070/7045]	Time 0.644 (0.261)	Data 0.583 (0.197)	Loss 5.0054 (5.0102)	Prec@1 5.469 (4.665)	Prec@5 20.703 (16.023)
Epoch: [19][1080/7045]	Time 0.127 (0.260)	Data 0.075 (0.196)	Loss 5.0788 (5.0105)	Prec@1 2.734 (4.660)	Prec@5 13.281 (16.012)
Epoch: [19][1090/7045]	Time 0.519 (0.260)	Data 0.468 (0.196)	Loss 4.9203 (5.0105)	Prec@1 5.078 (4.663)	Prec@5 16.016 (16.016)
Epoch: [19][1100/7045]	Time 0.106 (0.260)	Data 0.053 (0.196)	Loss 5.0620 (5.0109)	Prec@1 5.469 (4.665)	Prec@5 13.672 (16.004)
Epoch: [19][1110/7045]	Time 0.186 (0.260)	Data 0.134 (0.196)	Loss 5.0984 (5.0107)	Prec@1 4.297 (4.669)	Prec@5 14.453 (16.012)
Epoch: [19][1120/7045]	Time 0.134 (0.260)	Data 0.081 (0.196)	Loss 4.9434 (5.0104)	Prec@1 4.297 (4.668)	Prec@5 17.969 (16.017)
Epoch: [19][1130/7045]	Time 0.100 (0.260)	Data 0.043 (0.197)	Loss 4.9485 (5.0104)	Prec@1 5.469 (4.668)	Prec@5 17.969 (16.024)
Epoch: [19][1140/7045]	Time 0.100 (0.261)	Data 0.001 (0.197)	Loss 5.0355 (5.0100)	Prec@1 3.516 (4.668)	Prec@5 16.797 (16.028)
Epoch: [19][1150/7045]	Time 0.103 (0.260)	Data 0.001 (0.196)	Loss 4.9219 (5.0098)	Prec@1 6.641 (4.672)	Prec@5 15.234 (16.027)
Epoch: [19][1160/7045]	Time 0.105 (0.260)	Data 0.053 (0.196)	Loss 5.0993 (5.0096)	Prec@1 1.562 (4.672)	Prec@5 14.453 (16.033)
Epoch: [19][1170/7045]	Time 0.102 (0.260)	Data 0.009 (0.196)	Loss 5.0243 (5.0096)	Prec@1 6.250 (4.676)	Prec@5 19.141 (16.042)
Epoch: [19][1180/7045]	Time 0.102 (0.260)	Data 0.050 (0.196)	Loss 5.0246 (5.0100)	Prec@1 4.688 (4.674)	Prec@5 13.672 (16.029)
Epoch: [19][1190/7045]	Time 0.389 (0.260)	Data 0.338 (0.196)	Loss 5.1187 (5.0102)	Prec@1 3.125 (4.670)	Prec@5 13.672 (16.028)
Epoch: [19][1200/7045]	Time 0.101 (0.260)	Data 0.001 (0.196)	Loss 4.8352 (5.0102)	Prec@1 3.906 (4.666)	Prec@5 18.750 (16.032)
Epoch: [19][1210/7045]	Time 0.138 (0.260)	Data 0.087 (0.197)	Loss 5.0965 (5.0109)	Prec@1 1.953 (4.657)	Prec@5 9.766 (16.013)
Epoch: [19][1220/7045]	Time 0.744 (0.261)	Data 0.693 (0.197)	Loss 5.2329 (5.0109)	Prec@1 3.516 (4.656)	Prec@5 15.625 (16.010)
Epoch: [19][1230/7045]	Time 0.103 (0.260)	Data 0.012 (0.196)	Loss 5.0868 (5.0108)	Prec@1 3.516 (4.657)	Prec@5 12.500 (16.011)
Epoch: [19][1240/7045]	Time 0.480 (0.260)	Data 0.427 (0.196)	Loss 5.0779 (5.0111)	Prec@1 3.906 (4.654)	Prec@5 16.406 (15.995)
Epoch: [19][1250/7045]	Time 0.102 (0.260)	Data 0.001 (0.196)	Loss 5.1275 (5.0117)	Prec@1 4.688 (4.650)	Prec@5 17.969 (15.985)
Epoch: [19][1260/7045]	Time 0.659 (0.260)	Data 0.609 (0.196)	Loss 4.9576 (5.0118)	Prec@1 5.859 (4.655)	Prec@5 16.016 (15.989)
Epoch: [19][1270/7045]	Time 0.099 (0.260)	Data 0.001 (0.196)	Loss 4.9270 (5.0117)	Prec@1 5.078 (4.656)	Prec@5 18.359 (15.993)
Epoch: [19][1280/7045]	Time 0.606 (0.261)	Data 0.555 (0.197)	Loss 5.0247 (5.0119)	Prec@1 4.297 (4.662)	Prec@5 20.312 (15.995)
Epoch: [19][1290/7045]	Time 0.101 (0.260)	Data 0.001 (0.196)	Loss 5.0885 (5.0124)	Prec@1 3.516 (4.652)	Prec@5 16.797 (15.984)
Epoch: [19][1300/7045]	Time 0.513 (0.260)	Data 0.462 (0.196)	Loss 4.9199 (5.0126)	Prec@1 5.078 (4.654)	Prec@5 16.016 (15.979)
Epoch: [19][1310/7045]	Time 0.102 (0.260)	Data 0.003 (0.196)	Loss 5.0013 (5.0128)	Prec@1 4.688 (4.652)	Prec@5 16.406 (15.973)
Epoch: [19][1320/7045]	Time 0.208 (0.260)	Data 0.152 (0.196)	Loss 4.9651 (5.0128)	Prec@1 4.297 (4.650)	Prec@5 17.969 (15.973)
Epoch: [19][1330/7045]	Time 0.195 (0.260)	Data 0.144 (0.196)	Loss 4.9218 (5.0124)	Prec@1 6.641 (4.651)	Prec@5 14.844 (15.979)
Epoch: [19][1340/7045]	Time 0.103 (0.260)	Data 0.019 (0.196)	Loss 4.9441 (5.0124)	Prec@1 4.688 (4.654)	Prec@5 15.234 (15.973)
Epoch: [19][1350/7045]	Time 0.324 (0.260)	Data 0.272 (0.195)	Loss 5.0593 (5.0125)	Prec@1 4.297 (4.659)	Prec@5 15.625 (15.969)
Epoch: [19][1360/7045]	Time 0.109 (0.261)	Data 0.001 (0.196)	Loss 5.1073 (5.0126)	Prec@1 4.297 (4.661)	Prec@5 15.234 (15.970)
Epoch: [19][1370/7045]	Time 0.101 (0.260)	Data 0.050 (0.196)	Loss 4.9953 (5.0123)	Prec@1 3.125 (4.658)	Prec@5 13.281 (15.969)
Epoch: [19][1380/7045]	Time 0.460 (0.261)	Data 0.409 (0.196)	Loss 4.9518 (5.0117)	Prec@1 3.906 (4.658)	Prec@5 19.531 (15.981)
Epoch: [19][1390/7045]	Time 0.102 (0.260)	Data 0.049 (0.196)	Loss 4.9898 (5.0114)	Prec@1 4.688 (4.657)	Prec@5 14.844 (15.986)
Epoch: [19][1400/7045]	Time 0.169 (0.260)	Data 0.119 (0.196)	Loss 4.8047 (5.0115)	Prec@1 6.641 (4.654)	Prec@5 21.094 (15.990)
Epoch: [19][1410/7045]	Time 0.102 (0.261)	Data 0.005 (0.196)	Loss 5.1355 (5.0117)	Prec@1 3.516 (4.650)	Prec@5 14.453 (15.981)
Epoch: [19][1420/7045]	Time 0.098 (0.260)	Data 0.001 (0.196)	Loss 5.1653 (5.0124)	Prec@1 4.297 (4.649)	Prec@5 13.281 (15.974)
Epoch: [19][1430/7045]	Time 0.188 (0.261)	Data 0.136 (0.197)	Loss 5.0191 (5.0127)	Prec@1 7.031 (4.648)	Prec@5 17.578 (15.972)
Epoch: [19][1440/7045]	Time 0.100 (0.261)	Data 0.001 (0.197)	Loss 5.0979 (5.0131)	Prec@1 3.516 (4.648)	Prec@5 12.109 (15.969)
Epoch: [19][1450/7045]	Time 0.100 (0.261)	Data 0.003 (0.197)	Loss 5.0097 (5.0135)	Prec@1 3.125 (4.646)	Prec@5 15.625 (15.967)
Epoch: [19][1460/7045]	Time 0.121 (0.261)	Data 0.062 (0.197)	Loss 5.0313 (5.0134)	Prec@1 5.078 (4.644)	Prec@5 16.406 (15.970)
Epoch: [19][1470/7045]	Time 0.101 (0.261)	Data 0.001 (0.196)	Loss 4.9249 (5.0131)	Prec@1 5.469 (4.642)	Prec@5 17.578 (15.978)
Epoch: [19][1480/7045]	Time 0.154 (0.261)	Data 0.103 (0.197)	Loss 5.0372 (5.0135)	Prec@1 3.906 (4.641)	Prec@5 16.406 (15.972)
Epoch: [19][1490/7045]	Time 0.250 (0.261)	Data 0.200 (0.197)	Loss 4.9994 (5.0137)	Prec@1 3.125 (4.641)	Prec@5 16.016 (15.968)
Epoch: [19][1500/7045]	Time 0.101 (0.261)	Data 0.001 (0.196)	Loss 4.9805 (5.0138)	Prec@1 5.078 (4.642)	Prec@5 16.016 (15.972)
Epoch: [19][1510/7045]	Time 0.599 (0.262)	Data 0.539 (0.197)	Loss 4.9765 (5.0142)	Prec@1 7.812 (4.641)	Prec@5 15.625 (15.968)
Epoch: [19][1520/7045]	Time 0.179 (0.261)	Data 0.128 (0.197)	Loss 5.1470 (5.0144)	Prec@1 4.688 (4.643)	Prec@5 14.844 (15.967)
Epoch: [19][1530/7045]	Time 0.236 (0.261)	Data 0.185 (0.197)	Loss 4.8512 (5.0140)	Prec@1 5.859 (4.645)	Prec@5 21.484 (15.980)
Epoch: [19][1540/7045]	Time 0.352 (0.261)	Data 0.301 (0.197)	Loss 5.0896 (5.0136)	Prec@1 5.078 (4.645)	Prec@5 13.281 (15.983)
Epoch: [19][1550/7045]	Time 0.101 (0.261)	Data 0.045 (0.197)	Loss 5.0268 (5.0138)	Prec@1 5.469 (4.645)	Prec@5 12.891 (15.976)
Epoch: [19][1560/7045]	Time 0.190 (0.261)	Data 0.138 (0.197)	Loss 5.3545 (5.0144)	Prec@1 1.953 (4.640)	Prec@5 10.547 (15.968)
Epoch: [19][1570/7045]	Time 0.101 (0.261)	Data 0.001 (0.197)	Loss 5.0512 (5.0146)	Prec@1 5.078 (4.641)	Prec@5 16.406 (15.962)
Epoch: [19][1580/7045]	Time 0.101 (0.262)	Data 0.001 (0.198)	Loss 5.1400 (5.0150)	Prec@1 5.469 (4.641)	Prec@5 15.234 (15.955)
Epoch: [19][1590/7045]	Time 0.232 (0.262)	Data 0.180 (0.198)	Loss 5.0068 (5.0149)	Prec@1 4.688 (4.639)	Prec@5 16.797 (15.956)
Epoch: [19][1600/7045]	Time 0.101 (0.262)	Data 0.004 (0.198)	Loss 4.8326 (5.0147)	Prec@1 9.375 (4.639)	Prec@5 20.703 (15.961)
Epoch: [19][1610/7045]	Time 0.107 (0.262)	Data 0.055 (0.198)	Loss 5.1542 (5.0146)	Prec@1 3.906 (4.641)	Prec@5 13.672 (15.962)
Epoch: [19][1620/7045]	Time 0.176 (0.262)	Data 0.126 (0.197)	Loss 5.0195 (5.0147)	Prec@1 4.688 (4.641)	Prec@5 13.281 (15.954)
Epoch: [19][1630/7045]	Time 0.193 (0.262)	Data 0.143 (0.198)	Loss 5.1347 (5.0147)	Prec@1 3.125 (4.643)	Prec@5 11.328 (15.954)
Epoch: [19][1640/7045]	Time 0.107 (0.262)	Data 0.012 (0.198)	Loss 5.0609 (5.0142)	Prec@1 5.469 (4.646)	Prec@5 17.188 (15.968)
Epoch: [19][1650/7045]	Time 0.369 (0.262)	Data 0.319 (0.198)	Loss 5.0385 (5.0141)	Prec@1 3.906 (4.646)	Prec@5 16.406 (15.973)
Epoch: [19][1660/7045]	Time 0.205 (0.262)	Data 0.155 (0.198)	Loss 4.9628 (5.0140)	Prec@1 5.859 (4.646)	Prec@5 14.453 (15.970)
Epoch: [19][1670/7045]	Time 0.567 (0.262)	Data 0.509 (0.198)	Loss 4.9284 (5.0138)	Prec@1 3.906 (4.644)	Prec@5 17.188 (15.970)
Epoch: [19][1680/7045]	Time 0.101 (0.262)	Data 0.001 (0.198)	Loss 4.7592 (5.0130)	Prec@1 3.516 (4.649)	Prec@5 17.188 (15.983)
Epoch: [19][1690/7045]	Time 0.112 (0.262)	Data 0.060 (0.198)	Loss 4.9685 (5.0130)	Prec@1 5.078 (4.654)	Prec@5 19.922 (15.985)
Epoch: [19][1700/7045]	Time 0.503 (0.262)	Data 0.451 (0.198)	Loss 5.0116 (5.0128)	Prec@1 6.250 (4.656)	Prec@5 17.188 (15.990)
Epoch: [19][1710/7045]	Time 0.108 (0.262)	Data 0.001 (0.198)	Loss 5.1315 (5.0130)	Prec@1 4.688 (4.658)	Prec@5 14.062 (15.984)
Epoch: [19][1720/7045]	Time 0.521 (0.262)	Data 0.470 (0.198)	Loss 5.0537 (5.0127)	Prec@1 4.688 (4.659)	Prec@5 16.406 (15.992)
Epoch: [19][1730/7045]	Time 0.422 (0.262)	Data 0.369 (0.198)	Loss 5.0295 (5.0129)	Prec@1 4.297 (4.655)	Prec@5 14.844 (15.982)
Epoch: [19][1740/7045]	Time 0.310 (0.262)	Data 0.260 (0.198)	Loss 5.0317 (5.0128)	Prec@1 6.250 (4.656)	Prec@5 18.359 (15.986)
Epoch: [19][1750/7045]	Time 0.102 (0.262)	Data 0.001 (0.198)	Loss 4.9918 (5.0126)	Prec@1 7.031 (4.660)	Prec@5 15.234 (15.989)
Epoch: [19][1760/7045]	Time 0.450 (0.262)	Data 0.393 (0.198)	Loss 5.0421 (5.0120)	Prec@1 4.688 (4.665)	Prec@5 13.672 (15.997)
Epoch: [19][1770/7045]	Time 0.102 (0.262)	Data 0.002 (0.198)	Loss 5.0052 (5.0118)	Prec@1 5.078 (4.668)	Prec@5 17.188 (16.002)
Epoch: [19][1780/7045]	Time 0.266 (0.262)	Data 0.215 (0.198)	Loss 5.1004 (5.0116)	Prec@1 5.078 (4.670)	Prec@5 14.453 (16.001)
Epoch: [19][1790/7045]	Time 0.102 (0.262)	Data 0.001 (0.198)	Loss 4.8964 (5.0116)	Prec@1 5.469 (4.669)	Prec@5 17.969 (16.003)
Epoch: [19][1800/7045]	Time 0.109 (0.262)	Data 0.009 (0.198)	Loss 5.0518 (5.0118)	Prec@1 5.469 (4.666)	Prec@5 15.234 (15.999)
Epoch: [19][1810/7045]	Time 0.103 (0.262)	Data 0.051 (0.198)	Loss 4.8785 (5.0119)	Prec@1 7.031 (4.667)	Prec@5 19.922 (15.995)
Epoch: [19][1820/7045]	Time 0.101 (0.262)	Data 0.050 (0.198)	Loss 5.0000 (5.0118)	Prec@1 6.250 (4.667)	Prec@5 17.969 (15.994)
Epoch: [19][1830/7045]	Time 0.224 (0.262)	Data 0.174 (0.198)	Loss 4.9853 (5.0120)	Prec@1 5.469 (4.665)	Prec@5 17.969 (15.997)
Epoch: [19][1840/7045]	Time 0.110 (0.262)	Data 0.057 (0.198)	Loss 4.9835 (5.0119)	Prec@1 5.078 (4.665)	Prec@5 16.797 (16.002)
Epoch: [19][1850/7045]	Time 0.527 (0.262)	Data 0.477 (0.198)	Loss 4.8388 (5.0120)	Prec@1 4.688 (4.661)	Prec@5 17.188 (15.997)
Epoch: [19][1860/7045]	Time 0.101 (0.262)	Data 0.010 (0.198)	Loss 4.9979 (5.0115)	Prec@1 3.906 (4.662)	Prec@5 13.672 (16.007)
Epoch: [19][1870/7045]	Time 0.524 (0.262)	Data 0.472 (0.198)	Loss 4.9688 (5.0112)	Prec@1 4.297 (4.663)	Prec@5 16.797 (16.013)
Epoch: [19][1880/7045]	Time 0.307 (0.262)	Data 0.255 (0.198)	Loss 4.8650 (5.0112)	Prec@1 4.688 (4.662)	Prec@5 21.484 (16.014)
Epoch: [19][1890/7045]	Time 0.121 (0.262)	Data 0.069 (0.198)	Loss 4.9573 (5.0112)	Prec@1 6.641 (4.660)	Prec@5 16.406 (16.008)
Epoch: [19][1900/7045]	Time 0.157 (0.262)	Data 0.106 (0.198)	Loss 5.0292 (5.0111)	Prec@1 3.516 (4.660)	Prec@5 16.016 (16.007)
Epoch: [19][1910/7045]	Time 0.440 (0.262)	Data 0.389 (0.198)	Loss 4.8942 (5.0109)	Prec@1 3.516 (4.659)	Prec@5 18.750 (16.013)
Epoch: [19][1920/7045]	Time 0.136 (0.262)	Data 0.085 (0.199)	Loss 4.9981 (5.0110)	Prec@1 4.688 (4.659)	Prec@5 16.406 (16.010)
Epoch: [19][1930/7045]	Time 0.545 (0.262)	Data 0.488 (0.199)	Loss 4.9610 (5.0108)	Prec@1 5.469 (4.662)	Prec@5 16.406 (16.014)
Epoch: [19][1940/7045]	Time 0.230 (0.262)	Data 0.179 (0.199)	Loss 4.9649 (5.0107)	Prec@1 4.297 (4.663)	Prec@5 17.188 (16.019)
Epoch: [19][1950/7045]	Time 0.296 (0.262)	Data 0.245 (0.199)	Loss 5.0617 (5.0108)	Prec@1 1.562 (4.663)	Prec@5 10.938 (16.017)
Epoch: [19][1960/7045]	Time 0.437 (0.262)	Data 0.387 (0.199)	Loss 5.0592 (5.0108)	Prec@1 4.297 (4.663)	Prec@5 14.844 (16.016)
Epoch: [19][1970/7045]	Time 0.102 (0.262)	Data 0.001 (0.198)	Loss 5.0235 (5.0108)	Prec@1 3.516 (4.665)	Prec@5 16.016 (16.020)
Epoch: [19][1980/7045]	Time 0.488 (0.262)	Data 0.437 (0.199)	Loss 4.9922 (5.0111)	Prec@1 7.812 (4.667)	Prec@5 15.625 (16.018)
Epoch: [19][1990/7045]	Time 0.309 (0.262)	Data 0.251 (0.198)	Loss 4.9869 (5.0111)	Prec@1 3.906 (4.667)	Prec@5 19.922 (16.017)
Epoch: [19][2000/7045]	Time 0.394 (0.263)	Data 0.344 (0.199)	Loss 4.9880 (5.0112)	Prec@1 3.516 (4.670)	Prec@5 16.016 (16.017)
Epoch: [19][2010/7045]	Time 0.102 (0.263)	Data 0.006 (0.199)	Loss 5.0728 (5.0108)	Prec@1 3.125 (4.671)	Prec@5 14.453 (16.022)
Epoch: [19][2020/7045]	Time 0.410 (0.263)	Data 0.359 (0.199)	Loss 4.9655 (5.0111)	Prec@1 5.469 (4.670)	Prec@5 16.406 (16.018)
Epoch: [19][2030/7045]	Time 0.107 (0.263)	Data 0.055 (0.199)	Loss 4.8812 (5.0110)	Prec@1 5.859 (4.672)	Prec@5 17.969 (16.020)
Epoch: [19][2040/7045]	Time 0.109 (0.263)	Data 0.007 (0.199)	Loss 4.8554 (5.0109)	Prec@1 5.859 (4.672)	Prec@5 17.969 (16.022)
Epoch: [19][2050/7045]	Time 0.101 (0.262)	Data 0.001 (0.199)	Loss 5.0095 (5.0109)	Prec@1 3.516 (4.668)	Prec@5 15.234 (16.020)
Epoch: [19][2060/7045]	Time 0.364 (0.263)	Data 0.312 (0.199)	Loss 4.9062 (5.0108)	Prec@1 3.906 (4.666)	Prec@5 18.750 (16.021)
Epoch: [19][2070/7045]	Time 0.101 (0.263)	Data 0.001 (0.199)	Loss 4.9456 (5.0102)	Prec@1 5.469 (4.669)	Prec@5 17.188 (16.030)
Epoch: [19][2080/7045]	Time 0.253 (0.263)	Data 0.202 (0.199)	Loss 4.9999 (5.0101)	Prec@1 5.859 (4.669)	Prec@5 15.625 (16.029)
Epoch: [19][2090/7045]	Time 0.101 (0.263)	Data 0.001 (0.199)	Loss 5.0229 (5.0101)	Prec@1 5.078 (4.670)	Prec@5 16.406 (16.031)
Epoch: [19][2100/7045]	Time 0.514 (0.263)	Data 0.462 (0.199)	Loss 5.0293 (5.0099)	Prec@1 4.688 (4.669)	Prec@5 17.578 (16.033)
Epoch: [19][2110/7045]	Time 0.103 (0.263)	Data 0.001 (0.199)	Loss 4.8635 (5.0096)	Prec@1 7.422 (4.676)	Prec@5 17.969 (16.040)
Epoch: [19][2120/7045]	Time 0.870 (0.263)	Data 0.811 (0.199)	Loss 4.9627 (5.0095)	Prec@1 5.859 (4.677)	Prec@5 14.453 (16.044)
Epoch: [19][2130/7045]	Time 0.109 (0.263)	Data 0.005 (0.199)	Loss 4.9610 (5.0093)	Prec@1 4.297 (4.681)	Prec@5 18.750 (16.050)
Epoch: [19][2140/7045]	Time 2.136 (0.264)	Data 2.085 (0.199)	Loss 4.9446 (5.0093)	Prec@1 3.906 (4.681)	Prec@5 16.797 (16.050)
Epoch: [19][2150/7045]	Time 0.117 (0.263)	Data 0.066 (0.199)	Loss 4.9934 (5.0091)	Prec@1 3.516 (4.683)	Prec@5 17.969 (16.054)
Epoch: [19][2160/7045]	Time 0.411 (0.263)	Data 0.360 (0.199)	Loss 4.9543 (5.0091)	Prec@1 3.906 (4.683)	Prec@5 16.406 (16.056)
Epoch: [19][2170/7045]	Time 0.446 (0.263)	Data 0.395 (0.199)	Loss 4.8933 (5.0090)	Prec@1 5.078 (4.682)	Prec@5 20.312 (16.061)
Epoch: [19][2180/7045]	Time 0.101 (0.263)	Data 0.001 (0.199)	Loss 4.9664 (5.0090)	Prec@1 7.031 (4.682)	Prec@5 18.359 (16.058)
Epoch: [19][2190/7045]	Time 0.112 (0.263)	Data 0.060 (0.199)	Loss 4.9231 (5.0089)	Prec@1 5.859 (4.683)	Prec@5 20.703 (16.066)
Epoch: [19][2200/7045]	Time 0.238 (0.263)	Data 0.188 (0.199)	Loss 5.0642 (5.0090)	Prec@1 7.422 (4.683)	Prec@5 17.578 (16.064)
Epoch: [19][2210/7045]	Time 0.187 (0.263)	Data 0.135 (0.199)	Loss 5.2074 (5.0093)	Prec@1 3.516 (4.681)	Prec@5 11.328 (16.059)
Epoch: [19][2220/7045]	Time 0.142 (0.263)	Data 0.091 (0.199)	Loss 4.8597 (5.0092)	Prec@1 8.594 (4.682)	Prec@5 21.094 (16.063)
Epoch: [19][2230/7045]	Time 0.109 (0.263)	Data 0.055 (0.199)	Loss 5.0978 (5.0091)	Prec@1 5.469 (4.681)	Prec@5 14.453 (16.064)
Epoch: [19][2240/7045]	Time 0.101 (0.263)	Data 0.001 (0.199)	Loss 5.0418 (5.0093)	Prec@1 3.125 (4.677)	Prec@5 16.797 (16.064)
Epoch: [19][2250/7045]	Time 0.124 (0.263)	Data 0.073 (0.199)	Loss 5.0304 (5.0093)	Prec@1 4.688 (4.677)	Prec@5 16.016 (16.061)
Epoch: [19][2260/7045]	Time 0.180 (0.263)	Data 0.129 (0.199)	Loss 5.0922 (5.0094)	Prec@1 3.516 (4.676)	Prec@5 13.672 (16.060)
Epoch: [19][2270/7045]	Time 0.101 (0.263)	Data 0.012 (0.199)	Loss 5.0064 (5.0093)	Prec@1 5.078 (4.677)	Prec@5 17.188 (16.061)
Epoch: [19][2280/7045]	Time 0.188 (0.263)	Data 0.136 (0.199)	Loss 4.9680 (5.0092)	Prec@1 7.422 (4.678)	Prec@5 19.531 (16.064)
Epoch: [19][2290/7045]	Time 0.101 (0.263)	Data 0.001 (0.199)	Loss 5.0199 (5.0090)	Prec@1 6.250 (4.681)	Prec@5 20.703 (16.068)
Epoch: [19][2300/7045]	Time 0.297 (0.263)	Data 0.242 (0.199)	Loss 4.9297 (5.0087)	Prec@1 4.297 (4.684)	Prec@5 20.703 (16.077)
Epoch: [19][2310/7045]	Time 0.114 (0.263)	Data 0.056 (0.199)	Loss 4.9615 (5.0086)	Prec@1 3.125 (4.686)	Prec@5 16.016 (16.082)
Epoch: [19][2320/7045]	Time 0.691 (0.263)	Data 0.632 (0.199)	Loss 4.9272 (5.0086)	Prec@1 6.250 (4.686)	Prec@5 19.141 (16.080)
Epoch: [19][2330/7045]	Time 0.102 (0.263)	Data 0.001 (0.199)	Loss 4.9836 (5.0086)	Prec@1 5.859 (4.688)	Prec@5 16.016 (16.078)
Epoch: [19][2340/7045]	Time 0.511 (0.263)	Data 0.461 (0.199)	Loss 5.0338 (5.0089)	Prec@1 3.906 (4.686)	Prec@5 15.234 (16.070)
Epoch: [19][2350/7045]	Time 0.168 (0.263)	Data 0.116 (0.199)	Loss 5.0337 (5.0087)	Prec@1 4.297 (4.685)	Prec@5 15.234 (16.074)
Epoch: [19][2360/7045]	Time 0.429 (0.263)	Data 0.377 (0.199)	Loss 5.0725 (5.0087)	Prec@1 6.250 (4.687)	Prec@5 14.453 (16.071)
Epoch: [19][2370/7045]	Time 0.210 (0.263)	Data 0.159 (0.199)	Loss 4.9810 (5.0085)	Prec@1 5.859 (4.690)	Prec@5 16.406 (16.070)
Epoch: [19][2380/7045]	Time 0.268 (0.263)	Data 0.218 (0.199)	Loss 4.8979 (5.0083)	Prec@1 7.422 (4.691)	Prec@5 21.094 (16.072)
Epoch: [19][2390/7045]	Time 0.163 (0.263)	Data 0.111 (0.199)	Loss 4.9921 (5.0082)	Prec@1 6.250 (4.695)	Prec@5 15.625 (16.081)
Epoch: [19][2400/7045]	Time 0.099 (0.263)	Data 0.046 (0.199)	Loss 5.0259 (5.0082)	Prec@1 3.125 (4.693)	Prec@5 14.453 (16.080)
Epoch: [19][2410/7045]	Time 0.275 (0.263)	Data 0.225 (0.199)	Loss 5.0929 (5.0082)	Prec@1 1.562 (4.691)	Prec@5 12.891 (16.076)
Epoch: [19][2420/7045]	Time 0.373 (0.263)	Data 0.322 (0.199)	Loss 4.9564 (5.0082)	Prec@1 5.469 (4.690)	Prec@5 15.625 (16.072)
Epoch: [19][2430/7045]	Time 0.211 (0.264)	Data 0.158 (0.200)	Loss 4.8953 (5.0080)	Prec@1 5.078 (4.689)	Prec@5 19.141 (16.076)
Epoch: [19][2440/7045]	Time 0.235 (0.264)	Data 0.185 (0.200)	Loss 4.9533 (5.0078)	Prec@1 5.469 (4.689)	Prec@5 16.797 (16.078)
Epoch: [19][2450/7045]	Time 0.615 (0.264)	Data 0.564 (0.200)	Loss 4.9842 (5.0075)	Prec@1 5.859 (4.693)	Prec@5 16.406 (16.084)
Epoch: [19][2460/7045]	Time 0.108 (0.264)	Data 0.056 (0.200)	Loss 4.9989 (5.0075)	Prec@1 4.688 (4.694)	Prec@5 12.891 (16.085)
Epoch: [19][2470/7045]	Time 0.324 (0.264)	Data 0.273 (0.200)	Loss 5.0819 (5.0077)	Prec@1 4.297 (4.693)	Prec@5 13.281 (16.080)
Epoch: [19][2480/7045]	Time 0.447 (0.264)	Data 0.396 (0.200)	Loss 4.9371 (5.0076)	Prec@1 4.688 (4.696)	Prec@5 17.578 (16.082)
Epoch: [19][2490/7045]	Time 0.210 (0.264)	Data 0.154 (0.200)	Loss 5.0250 (5.0079)	Prec@1 3.125 (4.692)	Prec@5 16.016 (16.080)
Epoch: [19][2500/7045]	Time 0.151 (0.264)	Data 0.100 (0.200)	Loss 5.1047 (5.0080)	Prec@1 4.297 (4.691)	Prec@5 11.719 (16.074)
Epoch: [19][2510/7045]	Time 0.416 (0.264)	Data 0.364 (0.200)	Loss 5.1813 (5.0082)	Prec@1 3.906 (4.691)	Prec@5 14.062 (16.071)
Epoch: [19][2520/7045]	Time 0.136 (0.264)	Data 0.085 (0.200)	Loss 4.9429 (5.0084)	Prec@1 3.516 (4.690)	Prec@5 17.969 (16.067)
Epoch: [19][2530/7045]	Time 0.383 (0.264)	Data 0.332 (0.200)	Loss 5.0562 (5.0085)	Prec@1 3.906 (4.691)	Prec@5 13.672 (16.064)
Epoch: [19][2540/7045]	Time 0.144 (0.264)	Data 0.093 (0.200)	Loss 5.1579 (5.0084)	Prec@1 5.078 (4.691)	Prec@5 14.453 (16.067)
Epoch: [19][2550/7045]	Time 0.145 (0.264)	Data 0.094 (0.200)	Loss 4.9021 (5.0084)	Prec@1 5.078 (4.690)	Prec@5 15.234 (16.071)
Epoch: [19][2560/7045]	Time 0.400 (0.264)	Data 0.348 (0.200)	Loss 5.1128 (5.0083)	Prec@1 5.078 (4.690)	Prec@5 13.672 (16.070)
Epoch: [19][2570/7045]	Time 0.286 (0.264)	Data 0.229 (0.200)	Loss 4.8938 (5.0083)	Prec@1 6.250 (4.690)	Prec@5 18.359 (16.072)
Epoch: [19][2580/7045]	Time 0.177 (0.264)	Data 0.125 (0.200)	Loss 5.1491 (5.0083)	Prec@1 2.344 (4.688)	Prec@5 12.500 (16.075)
Epoch: [19][2590/7045]	Time 0.101 (0.264)	Data 0.001 (0.200)	Loss 4.9350 (5.0082)	Prec@1 5.859 (4.689)	Prec@5 16.797 (16.079)
Epoch: [19][2600/7045]	Time 0.185 (0.264)	Data 0.134 (0.200)	Loss 4.9529 (5.0082)	Prec@1 3.125 (4.687)	Prec@5 18.359 (16.080)
Epoch: [19][2610/7045]	Time 0.175 (0.264)	Data 0.124 (0.200)	Loss 4.9161 (5.0080)	Prec@1 6.250 (4.690)	Prec@5 19.141 (16.083)
Epoch: [19][2620/7045]	Time 0.556 (0.264)	Data 0.505 (0.200)	Loss 4.9208 (5.0078)	Prec@1 5.469 (4.693)	Prec@5 19.922 (16.089)
Epoch: [19][2630/7045]	Time 0.102 (0.265)	Data 0.049 (0.201)	Loss 4.8922 (5.0077)	Prec@1 4.688 (4.692)	Prec@5 21.094 (16.091)
Epoch: [19][2640/7045]	Time 0.444 (0.265)	Data 0.394 (0.201)	Loss 5.0856 (5.0079)	Prec@1 5.078 (4.692)	Prec@5 14.453 (16.092)
Epoch: [19][2650/7045]	Time 0.338 (0.265)	Data 0.288 (0.201)	Loss 5.1331 (5.0079)	Prec@1 3.125 (4.691)	Prec@5 10.547 (16.088)
Epoch: [19][2660/7045]	Time 0.103 (0.265)	Data 0.051 (0.201)	Loss 5.0848 (5.0082)	Prec@1 1.562 (4.687)	Prec@5 13.281 (16.081)
Epoch: [19][2670/7045]	Time 0.102 (0.265)	Data 0.009 (0.201)	Loss 5.0047 (5.0083)	Prec@1 6.641 (4.688)	Prec@5 17.188 (16.079)
Epoch: [19][2680/7045]	Time 0.352 (0.265)	Data 0.301 (0.201)	Loss 5.0280 (5.0083)	Prec@1 5.859 (4.689)	Prec@5 12.891 (16.081)
Epoch: [19][2690/7045]	Time 0.117 (0.265)	Data 0.066 (0.201)	Loss 4.9541 (5.0080)	Prec@1 3.125 (4.690)	Prec@5 18.359 (16.087)
Epoch: [19][2700/7045]	Time 0.637 (0.265)	Data 0.585 (0.201)	Loss 5.0085 (5.0077)	Prec@1 4.297 (4.691)	Prec@5 15.234 (16.089)
Epoch: [19][2710/7045]	Time 0.101 (0.265)	Data 0.049 (0.201)	Loss 5.0060 (5.0078)	Prec@1 4.297 (4.690)	Prec@5 18.359 (16.088)
Epoch: [19][2720/7045]	Time 0.592 (0.265)	Data 0.539 (0.201)	Loss 4.9891 (5.0078)	Prec@1 4.688 (4.692)	Prec@5 17.578 (16.089)
Epoch: [19][2730/7045]	Time 0.101 (0.265)	Data 0.001 (0.201)	Loss 5.1250 (5.0077)	Prec@1 4.688 (4.694)	Prec@5 14.844 (16.095)
Epoch: [19][2740/7045]	Time 0.364 (0.265)	Data 0.313 (0.201)	Loss 5.0300 (5.0078)	Prec@1 2.734 (4.691)	Prec@5 14.844 (16.093)
Epoch: [19][2750/7045]	Time 0.379 (0.266)	Data 0.318 (0.202)	Loss 5.0737 (5.0078)	Prec@1 5.078 (4.692)	Prec@5 14.844 (16.091)
Epoch: [19][2760/7045]	Time 0.101 (0.266)	Data 0.001 (0.202)	Loss 5.0675 (5.0079)	Prec@1 4.297 (4.692)	Prec@5 15.234 (16.088)
Epoch: [19][2770/7045]	Time 0.556 (0.266)	Data 0.505 (0.202)	Loss 5.0868 (5.0080)	Prec@1 5.078 (4.692)	Prec@5 14.844 (16.086)
Epoch: [19][2780/7045]	Time 0.114 (0.265)	Data 0.061 (0.202)	Loss 5.0855 (5.0079)	Prec@1 4.297 (4.694)	Prec@5 14.453 (16.087)
Epoch: [19][2790/7045]	Time 0.648 (0.265)	Data 0.597 (0.202)	Loss 5.1170 (5.0079)	Prec@1 6.250 (4.697)	Prec@5 14.062 (16.093)
Epoch: [19][2800/7045]	Time 0.130 (0.265)	Data 0.079 (0.202)	Loss 4.9373 (5.0079)	Prec@1 5.859 (4.696)	Prec@5 17.969 (16.093)
Epoch: [19][2810/7045]	Time 0.701 (0.266)	Data 0.650 (0.202)	Loss 5.0246 (5.0081)	Prec@1 4.297 (4.694)	Prec@5 14.062 (16.088)
Epoch: [19][2820/7045]	Time 0.164 (0.265)	Data 0.113 (0.202)	Loss 5.1197 (5.0082)	Prec@1 2.734 (4.693)	Prec@5 15.625 (16.084)
Epoch: [19][2830/7045]	Time 0.539 (0.265)	Data 0.487 (0.202)	Loss 4.9217 (5.0082)	Prec@1 3.516 (4.692)	Prec@5 19.531 (16.086)
Epoch: [19][2840/7045]	Time 0.103 (0.265)	Data 0.051 (0.201)	Loss 5.0030 (5.0083)	Prec@1 4.688 (4.693)	Prec@5 16.797 (16.085)
Epoch: [19][2850/7045]	Time 0.099 (0.265)	Data 0.045 (0.201)	Loss 4.7583 (5.0080)	Prec@1 6.250 (4.694)	Prec@5 20.703 (16.088)
Epoch: [19][2860/7045]	Time 0.107 (0.265)	Data 0.055 (0.201)	Loss 5.1385 (5.0081)	Prec@1 4.688 (4.695)	Prec@5 14.062 (16.087)
Epoch: [19][2870/7045]	Time 0.205 (0.265)	Data 0.154 (0.201)	Loss 5.1085 (5.0082)	Prec@1 4.297 (4.693)	Prec@5 13.672 (16.086)
Epoch: [19][2880/7045]	Time 0.328 (0.265)	Data 0.278 (0.201)	Loss 4.9532 (5.0080)	Prec@1 6.641 (4.694)	Prec@5 16.016 (16.086)
Epoch: [19][2890/7045]	Time 0.111 (0.265)	Data 0.001 (0.201)	Loss 5.0913 (5.0082)	Prec@1 1.562 (4.691)	Prec@5 13.672 (16.083)
Epoch: [19][2900/7045]	Time 0.246 (0.265)	Data 0.195 (0.201)	Loss 5.2334 (5.0084)	Prec@1 0.781 (4.689)	Prec@5 8.594 (16.077)
Epoch: [19][2910/7045]	Time 0.192 (0.265)	Data 0.140 (0.201)	Loss 5.1027 (5.0083)	Prec@1 4.688 (4.687)	Prec@5 11.719 (16.076)
Epoch: [19][2920/7045]	Time 0.104 (0.265)	Data 0.001 (0.201)	Loss 5.0737 (5.0083)	Prec@1 4.297 (4.685)	Prec@5 14.453 (16.074)
Epoch: [19][2930/7045]	Time 0.118 (0.265)	Data 0.067 (0.201)	Loss 4.8990 (5.0081)	Prec@1 5.469 (4.687)	Prec@5 20.312 (16.078)
Epoch: [19][2940/7045]	Time 0.287 (0.265)	Data 0.233 (0.201)	Loss 5.1259 (5.0080)	Prec@1 1.953 (4.686)	Prec@5 12.500 (16.080)
Epoch: [19][2950/7045]	Time 0.102 (0.265)	Data 0.016 (0.201)	Loss 4.9863 (5.0078)	Prec@1 5.859 (4.686)	Prec@5 15.234 (16.081)
Epoch: [19][2960/7045]	Time 0.438 (0.265)	Data 0.387 (0.201)	Loss 4.9698 (5.0078)	Prec@1 3.516 (4.685)	Prec@5 15.625 (16.079)
Epoch: [19][2970/7045]	Time 0.268 (0.264)	Data 0.218 (0.201)	Loss 5.1093 (5.0077)	Prec@1 4.297 (4.685)	Prec@5 15.625 (16.080)
Epoch: [19][2980/7045]	Time 0.318 (0.264)	Data 0.267 (0.201)	Loss 4.9586 (5.0078)	Prec@1 3.906 (4.685)	Prec@5 14.844 (16.077)
Epoch: [19][2990/7045]	Time 0.295 (0.264)	Data 0.244 (0.201)	Loss 4.8213 (5.0078)	Prec@1 5.859 (4.686)	Prec@5 19.531 (16.077)
Epoch: [19][3000/7045]	Time 0.099 (0.264)	Data 0.014 (0.201)	Loss 4.9480 (5.0076)	Prec@1 6.250 (4.687)	Prec@5 17.578 (16.080)
Epoch: [19][3010/7045]	Time 0.321 (0.264)	Data 0.270 (0.201)	Loss 5.0060 (5.0076)	Prec@1 2.344 (4.685)	Prec@5 15.234 (16.082)
Epoch: [19][3020/7045]	Time 0.284 (0.264)	Data 0.222 (0.201)	Loss 4.9696 (5.0076)	Prec@1 3.125 (4.685)	Prec@5 18.750 (16.083)
Epoch: [19][3030/7045]	Time 0.119 (0.264)	Data 0.067 (0.200)	Loss 4.9492 (5.0075)	Prec@1 4.688 (4.684)	Prec@5 19.141 (16.086)
Epoch: [19][3040/7045]	Time 0.473 (0.264)	Data 0.420 (0.201)	Loss 5.2337 (5.0074)	Prec@1 1.953 (4.685)	Prec@5 10.938 (16.088)
Epoch: [19][3050/7045]	Time 0.113 (0.264)	Data 0.062 (0.200)	Loss 5.0683 (5.0075)	Prec@1 3.516 (4.685)	Prec@5 12.109 (16.086)
Epoch: [19][3060/7045]	Time 0.381 (0.264)	Data 0.330 (0.200)	Loss 5.0189 (5.0075)	Prec@1 5.469 (4.688)	Prec@5 19.531 (16.090)
Epoch: [19][3070/7045]	Time 0.405 (0.264)	Data 0.354 (0.200)	Loss 4.9400 (5.0074)	Prec@1 3.906 (4.687)	Prec@5 17.578 (16.089)
Epoch: [19][3080/7045]	Time 0.417 (0.264)	Data 0.366 (0.200)	Loss 5.0198 (5.0075)	Prec@1 5.078 (4.687)	Prec@5 14.453 (16.086)
Epoch: [19][3090/7045]	Time 0.686 (0.264)	Data 0.635 (0.200)	Loss 5.0405 (5.0074)	Prec@1 6.250 (4.689)	Prec@5 15.625 (16.088)
Epoch: [19][3100/7045]	Time 0.102 (0.264)	Data 0.001 (0.200)	Loss 4.8754 (5.0072)	Prec@1 5.859 (4.690)	Prec@5 18.750 (16.091)
Epoch: [19][3110/7045]	Time 0.104 (0.264)	Data 0.007 (0.200)	Loss 4.9871 (5.0072)	Prec@1 5.469 (4.688)	Prec@5 15.234 (16.088)
Epoch: [19][3120/7045]	Time 0.103 (0.264)	Data 0.045 (0.200)	Loss 4.9913 (5.0071)	Prec@1 5.078 (4.689)	Prec@5 18.359 (16.090)
Epoch: [19][3130/7045]	Time 0.353 (0.264)	Data 0.302 (0.200)	Loss 5.0427 (5.0071)	Prec@1 3.516 (4.687)	Prec@5 17.188 (16.085)
Epoch: [19][3140/7045]	Time 0.102 (0.264)	Data 0.001 (0.200)	Loss 5.0664 (5.0072)	Prec@1 4.297 (4.685)	Prec@5 15.234 (16.084)
Epoch: [19][3150/7045]	Time 0.598 (0.264)	Data 0.539 (0.200)	Loss 4.8575 (5.0069)	Prec@1 5.859 (4.683)	Prec@5 20.703 (16.086)
Epoch: [19][3160/7045]	Time 0.108 (0.264)	Data 0.056 (0.200)	Loss 5.0283 (5.0069)	Prec@1 3.516 (4.683)	Prec@5 17.578 (16.086)
Epoch: [19][3170/7045]	Time 0.298 (0.263)	Data 0.248 (0.200)	Loss 5.0043 (5.0070)	Prec@1 2.734 (4.683)	Prec@5 16.406 (16.084)
Epoch: [19][3180/7045]	Time 0.209 (0.263)	Data 0.159 (0.200)	Loss 5.0402 (5.0068)	Prec@1 3.906 (4.685)	Prec@5 16.406 (16.090)
Epoch: [19][3190/7045]	Time 0.098 (0.263)	Data 0.013 (0.200)	Loss 4.9544 (5.0067)	Prec@1 5.078 (4.687)	Prec@5 14.844 (16.091)
Epoch: [19][3200/7045]	Time 0.392 (0.263)	Data 0.341 (0.200)	Loss 4.8417 (5.0065)	Prec@1 7.812 (4.690)	Prec@5 21.484 (16.093)
Epoch: [19][3210/7045]	Time 0.321 (0.263)	Data 0.269 (0.200)	Loss 5.0023 (5.0065)	Prec@1 6.641 (4.691)	Prec@5 17.188 (16.098)
Epoch: [19][3220/7045]	Time 0.377 (0.263)	Data 0.323 (0.200)	Loss 4.9738 (5.0066)	Prec@1 5.859 (4.691)	Prec@5 17.578 (16.096)
Epoch: [19][3230/7045]	Time 2.108 (0.264)	Data 2.057 (0.201)	Loss 4.9395 (5.0066)	Prec@1 7.031 (4.691)	Prec@5 16.797 (16.095)
Epoch: [19][3240/7045]	Time 0.286 (0.264)	Data 0.230 (0.201)	Loss 4.9558 (5.0066)	Prec@1 5.469 (4.691)	Prec@5 17.188 (16.094)
Epoch: [19][3250/7045]	Time 0.415 (0.264)	Data 0.364 (0.201)	Loss 5.0069 (5.0068)	Prec@1 3.906 (4.690)	Prec@5 12.500 (16.089)
Epoch: [19][3260/7045]	Time 0.262 (0.264)	Data 0.209 (0.201)	Loss 5.1656 (5.0068)	Prec@1 2.344 (4.689)	Prec@5 10.547 (16.085)
Epoch: [19][3270/7045]	Time 0.592 (0.264)	Data 0.541 (0.200)	Loss 5.1753 (5.0069)	Prec@1 3.516 (4.687)	Prec@5 12.109 (16.082)
Epoch: [19][3280/7045]	Time 0.103 (0.264)	Data 0.001 (0.200)	Loss 5.0944 (5.0069)	Prec@1 5.078 (4.686)	Prec@5 12.891 (16.078)
Epoch: [19][3290/7045]	Time 0.543 (0.264)	Data 0.492 (0.201)	Loss 4.9402 (5.0067)	Prec@1 4.688 (4.686)	Prec@5 16.797 (16.081)
Epoch: [19][3300/7045]	Time 0.159 (0.264)	Data 0.109 (0.200)	Loss 4.9610 (5.0066)	Prec@1 3.906 (4.685)	Prec@5 15.625 (16.084)
Epoch: [19][3310/7045]	Time 0.450 (0.264)	Data 0.390 (0.201)	Loss 4.8797 (5.0066)	Prec@1 6.641 (4.686)	Prec@5 18.750 (16.086)
Epoch: [19][3320/7045]	Time 0.117 (0.264)	Data 0.067 (0.200)	Loss 5.0103 (5.0066)	Prec@1 3.906 (4.687)	Prec@5 15.625 (16.087)
Epoch: [19][3330/7045]	Time 0.105 (0.264)	Data 0.053 (0.200)	Loss 4.9437 (5.0065)	Prec@1 5.469 (4.687)	Prec@5 16.406 (16.087)
Epoch: [19][3340/7045]	Time 0.101 (0.264)	Data 0.001 (0.200)	Loss 5.1044 (5.0067)	Prec@1 3.906 (4.687)	Prec@5 12.500 (16.084)
Epoch: [19][3350/7045]	Time 0.142 (0.264)	Data 0.092 (0.200)	Loss 4.9252 (5.0066)	Prec@1 4.688 (4.687)	Prec@5 15.234 (16.086)
Epoch: [19][3360/7045]	Time 0.101 (0.264)	Data 0.001 (0.201)	Loss 5.0501 (5.0066)	Prec@1 3.516 (4.686)	Prec@5 12.891 (16.081)
Epoch: [19][3370/7045]	Time 0.359 (0.264)	Data 0.302 (0.201)	Loss 4.9621 (5.0068)	Prec@1 3.906 (4.684)	Prec@5 14.062 (16.078)
Epoch: [19][3380/7045]	Time 0.168 (0.264)	Data 0.117 (0.201)	Loss 4.9373 (5.0068)	Prec@1 5.859 (4.686)	Prec@5 15.234 (16.078)
Epoch: [19][3390/7045]	Time 0.330 (0.264)	Data 0.280 (0.201)	Loss 5.0741 (5.0067)	Prec@1 3.906 (4.687)	Prec@5 16.406 (16.083)
Epoch: [19][3400/7045]	Time 0.222 (0.264)	Data 0.171 (0.200)	Loss 5.0524 (5.0068)	Prec@1 3.906 (4.687)	Prec@5 13.672 (16.083)
Epoch: [19][3410/7045]	Time 0.349 (0.264)	Data 0.297 (0.200)	Loss 5.1194 (5.0068)	Prec@1 3.906 (4.685)	Prec@5 14.844 (16.083)
Epoch: [19][3420/7045]	Time 0.105 (0.264)	Data 0.052 (0.200)	Loss 5.0753 (5.0068)	Prec@1 3.516 (4.686)	Prec@5 12.891 (16.082)
Epoch: [19][3430/7045]	Time 0.109 (0.264)	Data 0.058 (0.200)	Loss 4.9640 (5.0067)	Prec@1 2.344 (4.686)	Prec@5 13.672 (16.083)
Epoch: [19][3440/7045]	Time 0.101 (0.264)	Data 0.045 (0.201)	Loss 5.0021 (5.0066)	Prec@1 4.688 (4.686)	Prec@5 19.141 (16.087)
Epoch: [19][3450/7045]	Time 0.102 (0.264)	Data 0.001 (0.201)	Loss 4.9062 (5.0065)	Prec@1 3.125 (4.688)	Prec@5 14.453 (16.090)
Epoch: [19][3460/7045]	Time 0.296 (0.264)	Data 0.241 (0.201)	Loss 5.0491 (5.0064)	Prec@1 3.125 (4.690)	Prec@5 12.891 (16.095)
Epoch: [19][3470/7045]	Time 0.102 (0.264)	Data 0.001 (0.201)	Loss 5.0690 (5.0065)	Prec@1 5.859 (4.691)	Prec@5 14.453 (16.095)
Epoch: [19][3480/7045]	Time 0.471 (0.264)	Data 0.413 (0.201)	Loss 4.8465 (5.0066)	Prec@1 6.641 (4.690)	Prec@5 19.531 (16.092)
Epoch: [19][3490/7045]	Time 0.108 (0.264)	Data 0.057 (0.201)	Loss 5.1958 (5.0066)	Prec@1 5.078 (4.692)	Prec@5 13.672 (16.090)
Epoch: [19][3500/7045]	Time 0.692 (0.264)	Data 0.641 (0.201)	Loss 4.9007 (5.0066)	Prec@1 6.641 (4.690)	Prec@5 19.531 (16.091)
Epoch: [19][3510/7045]	Time 0.107 (0.264)	Data 0.005 (0.201)	Loss 4.9649 (5.0064)	Prec@1 6.641 (4.693)	Prec@5 16.406 (16.094)
Epoch: [19][3520/7045]	Time 0.484 (0.264)	Data 0.434 (0.201)	Loss 5.0604 (5.0066)	Prec@1 3.906 (4.691)	Prec@5 12.891 (16.090)
Epoch: [19][3530/7045]	Time 0.355 (0.264)	Data 0.305 (0.201)	Loss 4.9482 (5.0068)	Prec@1 5.859 (4.689)	Prec@5 19.531 (16.086)
Epoch: [19][3540/7045]	Time 0.110 (0.264)	Data 0.001 (0.201)	Loss 5.0806 (5.0068)	Prec@1 6.641 (4.691)	Prec@5 15.625 (16.088)
Epoch: [19][3550/7045]	Time 0.449 (0.264)	Data 0.398 (0.201)	Loss 5.1018 (5.0070)	Prec@1 5.469 (4.690)	Prec@5 15.234 (16.086)
Epoch: [19][3560/7045]	Time 2.337 (0.265)	Data 2.286 (0.202)	Loss 5.1677 (5.0070)	Prec@1 2.734 (4.689)	Prec@5 14.453 (16.084)
Epoch: [19][3570/7045]	Time 0.392 (0.265)	Data 0.342 (0.202)	Loss 4.9799 (5.0069)	Prec@1 5.078 (4.690)	Prec@5 17.188 (16.085)
Epoch: [19][3580/7045]	Time 0.180 (0.265)	Data 0.129 (0.202)	Loss 4.9390 (5.0071)	Prec@1 4.297 (4.688)	Prec@5 16.406 (16.081)
Epoch: [19][3590/7045]	Time 0.274 (0.265)	Data 0.223 (0.201)	Loss 4.9866 (5.0072)	Prec@1 6.641 (4.688)	Prec@5 14.844 (16.079)
Epoch: [19][3600/7045]	Time 0.542 (0.265)	Data 0.489 (0.202)	Loss 4.9820 (5.0073)	Prec@1 4.688 (4.687)	Prec@5 15.234 (16.079)
Epoch: [19][3610/7045]	Time 0.102 (0.265)	Data 0.001 (0.201)	Loss 5.0489 (5.0073)	Prec@1 3.906 (4.687)	Prec@5 14.453 (16.081)
Epoch: [19][3620/7045]	Time 0.640 (0.265)	Data 0.589 (0.202)	Loss 5.0050 (5.0071)	Prec@1 4.297 (4.686)	Prec@5 14.062 (16.081)
Epoch: [19][3630/7045]	Time 0.110 (0.265)	Data 0.058 (0.201)	Loss 5.0245 (5.0070)	Prec@1 4.297 (4.686)	Prec@5 17.969 (16.083)
Epoch: [19][3640/7045]	Time 0.631 (0.265)	Data 0.581 (0.201)	Loss 5.0841 (5.0072)	Prec@1 2.734 (4.684)	Prec@5 15.234 (16.079)
Epoch: [19][3650/7045]	Time 0.102 (0.265)	Data 0.001 (0.201)	Loss 5.2079 (5.0073)	Prec@1 3.906 (4.683)	Prec@5 11.719 (16.078)
Epoch: [19][3660/7045]	Time 0.148 (0.265)	Data 0.097 (0.201)	Loss 5.0485 (5.0073)	Prec@1 4.297 (4.683)	Prec@5 16.016 (16.076)
Epoch: [19][3670/7045]	Time 0.101 (0.264)	Data 0.002 (0.201)	Loss 5.0694 (5.0073)	Prec@1 5.078 (4.681)	Prec@5 16.406 (16.074)
Epoch: [19][3680/7045]	Time 0.107 (0.265)	Data 0.002 (0.201)	Loss 5.0712 (5.0075)	Prec@1 4.688 (4.682)	Prec@5 16.016 (16.071)
Epoch: [19][3690/7045]	Time 2.390 (0.265)	Data 2.338 (0.202)	Loss 5.0198 (5.0076)	Prec@1 5.859 (4.682)	Prec@5 19.141 (16.071)
Epoch: [19][3700/7045]	Time 0.108 (0.265)	Data 0.001 (0.201)	Loss 4.9374 (5.0076)	Prec@1 6.250 (4.683)	Prec@5 18.359 (16.073)
Epoch: [19][3710/7045]	Time 0.765 (0.265)	Data 0.714 (0.201)	Loss 4.9531 (5.0074)	Prec@1 4.688 (4.683)	Prec@5 16.406 (16.073)
Epoch: [19][3720/7045]	Time 0.102 (0.265)	Data 0.001 (0.201)	Loss 4.9304 (5.0073)	Prec@1 3.906 (4.684)	Prec@5 18.750 (16.077)
Epoch: [19][3730/7045]	Time 0.511 (0.265)	Data 0.454 (0.201)	Loss 5.2498 (5.0074)	Prec@1 2.734 (4.684)	Prec@5 13.672 (16.075)
Epoch: [19][3740/7045]	Time 0.272 (0.265)	Data 0.221 (0.201)	Loss 5.1494 (5.0076)	Prec@1 2.734 (4.682)	Prec@5 14.844 (16.071)
Epoch: [19][3750/7045]	Time 0.559 (0.265)	Data 0.509 (0.201)	Loss 5.0635 (5.0078)	Prec@1 5.469 (4.682)	Prec@5 21.094 (16.070)
Epoch: [19][3760/7045]	Time 0.209 (0.265)	Data 0.158 (0.201)	Loss 4.9009 (5.0078)	Prec@1 5.469 (4.682)	Prec@5 19.141 (16.071)
Epoch: [19][3770/7045]	Time 0.109 (0.265)	Data 0.015 (0.201)	Loss 5.0193 (5.0078)	Prec@1 3.906 (4.682)	Prec@5 15.234 (16.072)
Epoch: [19][3780/7045]	Time 0.102 (0.265)	Data 0.001 (0.201)	Loss 4.9427 (5.0078)	Prec@1 4.297 (4.682)	Prec@5 15.625 (16.071)
Epoch: [19][3790/7045]	Time 0.130 (0.265)	Data 0.078 (0.201)	Loss 4.9886 (5.0078)	Prec@1 4.688 (4.683)	Prec@5 14.453 (16.071)
Epoch: [19][3800/7045]	Time 0.464 (0.265)	Data 0.411 (0.201)	Loss 5.0435 (5.0078)	Prec@1 5.859 (4.684)	Prec@5 14.062 (16.071)
Epoch: [19][3810/7045]	Time 0.100 (0.265)	Data 0.044 (0.201)	Loss 5.1548 (5.0078)	Prec@1 3.906 (4.685)	Prec@5 12.891 (16.069)
Epoch: [19][3820/7045]	Time 0.702 (0.265)	Data 0.647 (0.201)	Loss 5.0766 (5.0079)	Prec@1 3.125 (4.684)	Prec@5 14.844 (16.067)
Epoch: [19][3830/7045]	Time 0.101 (0.265)	Data 0.001 (0.201)	Loss 4.8993 (5.0079)	Prec@1 3.906 (4.684)	Prec@5 19.141 (16.069)
Epoch: [19][3840/7045]	Time 0.581 (0.265)	Data 0.523 (0.201)	Loss 5.1312 (5.0077)	Prec@1 3.906 (4.683)	Prec@5 14.062 (16.072)
Epoch: [19][3850/7045]	Time 0.164 (0.265)	Data 0.113 (0.201)	Loss 4.9869 (5.0075)	Prec@1 5.469 (4.683)	Prec@5 18.359 (16.074)
Epoch: [19][3860/7045]	Time 0.375 (0.265)	Data 0.317 (0.201)	Loss 5.0423 (5.0075)	Prec@1 5.469 (4.683)	Prec@5 15.234 (16.074)
Epoch: [19][3870/7045]	Time 0.101 (0.265)	Data 0.001 (0.201)	Loss 4.9099 (5.0075)	Prec@1 4.297 (4.682)	Prec@5 14.844 (16.074)
Epoch: [19][3880/7045]	Time 0.288 (0.265)	Data 0.233 (0.202)	Loss 5.1257 (5.0077)	Prec@1 3.125 (4.679)	Prec@5 16.406 (16.074)
Epoch: [19][3890/7045]	Time 0.102 (0.265)	Data 0.044 (0.202)	Loss 4.9780 (5.0077)	Prec@1 4.688 (4.681)	Prec@5 17.188 (16.075)
Epoch: [19][3900/7045]	Time 0.229 (0.265)	Data 0.178 (0.202)	Loss 5.1903 (5.0078)	Prec@1 3.906 (4.680)	Prec@5 12.500 (16.071)
Epoch: [19][3910/7045]	Time 0.139 (0.265)	Data 0.087 (0.202)	Loss 5.1012 (5.0079)	Prec@1 5.078 (4.680)	Prec@5 15.625 (16.070)
Epoch: [19][3920/7045]	Time 0.163 (0.265)	Data 0.112 (0.202)	Loss 5.0410 (5.0081)	Prec@1 4.688 (4.680)	Prec@5 16.016 (16.066)
Epoch: [19][3930/7045]	Time 0.101 (0.265)	Data 0.001 (0.202)	Loss 5.2035 (5.0082)	Prec@1 3.516 (4.681)	Prec@5 11.328 (16.067)
Epoch: [19][3940/7045]	Time 0.130 (0.265)	Data 0.078 (0.202)	Loss 4.9606 (5.0083)	Prec@1 3.516 (4.679)	Prec@5 12.109 (16.063)
Epoch: [19][3950/7045]	Time 0.545 (0.265)	Data 0.494 (0.202)	Loss 5.0240 (5.0083)	Prec@1 5.859 (4.680)	Prec@5 16.406 (16.063)
Epoch: [19][3960/7045]	Time 0.378 (0.265)	Data 0.328 (0.202)	Loss 5.1112 (5.0083)	Prec@1 5.859 (4.681)	Prec@5 14.844 (16.063)
Epoch: [19][3970/7045]	Time 0.366 (0.265)	Data 0.314 (0.202)	Loss 4.9395 (5.0082)	Prec@1 2.734 (4.681)	Prec@5 14.844 (16.062)
Epoch: [19][3980/7045]	Time 0.876 (0.265)	Data 0.826 (0.202)	Loss 4.9849 (5.0082)	Prec@1 5.469 (4.683)	Prec@5 15.625 (16.064)
Epoch: [19][3990/7045]	Time 0.230 (0.265)	Data 0.180 (0.202)	Loss 5.1069 (5.0081)	Prec@1 5.078 (4.684)	Prec@5 13.281 (16.064)
Epoch: [19][4000/7045]	Time 0.434 (0.265)	Data 0.381 (0.202)	Loss 4.9723 (5.0080)	Prec@1 3.906 (4.684)	Prec@5 16.016 (16.064)
Epoch: [19][4010/7045]	Time 0.168 (0.265)	Data 0.117 (0.202)	Loss 5.0397 (5.0080)	Prec@1 4.297 (4.684)	Prec@5 17.188 (16.063)
Epoch: [19][4020/7045]	Time 0.575 (0.265)	Data 0.525 (0.202)	Loss 5.1626 (5.0080)	Prec@1 4.297 (4.687)	Prec@5 13.672 (16.065)
Epoch: [19][4030/7045]	Time 0.103 (0.265)	Data 0.001 (0.202)	Loss 5.0615 (5.0080)	Prec@1 5.469 (4.687)	Prec@5 15.625 (16.065)
Epoch: [19][4040/7045]	Time 0.109 (0.265)	Data 0.001 (0.202)	Loss 5.0517 (5.0079)	Prec@1 4.688 (4.686)	Prec@5 14.062 (16.066)
Epoch: [19][4050/7045]	Time 0.183 (0.265)	Data 0.133 (0.202)	Loss 5.0167 (5.0080)	Prec@1 7.031 (4.687)	Prec@5 16.406 (16.065)
Epoch: [19][4060/7045]	Time 0.291 (0.266)	Data 0.240 (0.202)	Loss 4.9435 (5.0080)	Prec@1 3.906 (4.686)	Prec@5 15.234 (16.062)
Epoch: [19][4070/7045]	Time 0.361 (0.266)	Data 0.309 (0.202)	Loss 4.9871 (5.0082)	Prec@1 6.250 (4.686)	Prec@5 16.406 (16.058)
Epoch: [19][4080/7045]	Time 0.101 (0.265)	Data 0.001 (0.202)	Loss 5.0465 (5.0082)	Prec@1 3.906 (4.687)	Prec@5 13.281 (16.058)
Epoch: [19][4090/7045]	Time 0.285 (0.265)	Data 0.226 (0.202)	Loss 5.1484 (5.0082)	Prec@1 3.516 (4.687)	Prec@5 10.547 (16.056)
Epoch: [19][4100/7045]	Time 0.239 (0.265)	Data 0.189 (0.202)	Loss 5.0284 (5.0082)	Prec@1 5.469 (4.686)	Prec@5 17.578 (16.056)
Epoch: [19][4110/7045]	Time 0.103 (0.265)	Data 0.050 (0.202)	Loss 5.0102 (5.0082)	Prec@1 3.906 (4.686)	Prec@5 16.016 (16.057)
Epoch: [19][4120/7045]	Time 0.399 (0.266)	Data 0.347 (0.202)	Loss 5.1554 (5.0082)	Prec@1 3.125 (4.685)	Prec@5 12.891 (16.057)
Epoch: [19][4130/7045]	Time 0.402 (0.265)	Data 0.351 (0.202)	Loss 5.0296 (5.0081)	Prec@1 5.469 (4.684)	Prec@5 15.234 (16.059)
Epoch: [19][4140/7045]	Time 0.100 (0.265)	Data 0.001 (0.202)	Loss 5.1792 (5.0082)	Prec@1 3.125 (4.683)	Prec@5 16.016 (16.056)
Epoch: [19][4150/7045]	Time 0.606 (0.265)	Data 0.555 (0.202)	Loss 5.1742 (5.0082)	Prec@1 3.516 (4.684)	Prec@5 12.500 (16.057)
Epoch: [19][4160/7045]	Time 0.102 (0.265)	Data 0.001 (0.202)	Loss 5.1074 (5.0082)	Prec@1 4.688 (4.685)	Prec@5 14.062 (16.057)
Epoch: [19][4170/7045]	Time 0.390 (0.265)	Data 0.339 (0.202)	Loss 4.8904 (5.0082)	Prec@1 5.078 (4.687)	Prec@5 15.625 (16.057)
Epoch: [19][4180/7045]	Time 0.296 (0.265)	Data 0.246 (0.202)	Loss 5.0075 (5.0082)	Prec@1 5.859 (4.686)	Prec@5 14.844 (16.056)
Epoch: [19][4190/7045]	Time 0.101 (0.266)	Data 0.007 (0.202)	Loss 4.9101 (5.0082)	Prec@1 6.250 (4.688)	Prec@5 18.750 (16.057)
Epoch: [19][4200/7045]	Time 0.463 (0.266)	Data 0.404 (0.202)	Loss 5.0066 (5.0082)	Prec@1 2.344 (4.689)	Prec@5 14.062 (16.057)
Epoch: [19][4210/7045]	Time 0.102 (0.266)	Data 0.001 (0.202)	Loss 4.8097 (5.0082)	Prec@1 5.859 (4.688)	Prec@5 20.703 (16.055)
Epoch: [19][4220/7045]	Time 0.098 (0.266)	Data 0.046 (0.202)	Loss 4.9182 (5.0079)	Prec@1 3.516 (4.690)	Prec@5 17.578 (16.062)
Epoch: [19][4230/7045]	Time 0.671 (0.266)	Data 0.620 (0.202)	Loss 5.1903 (5.0077)	Prec@1 3.516 (4.693)	Prec@5 13.672 (16.066)
Epoch: [19][4240/7045]	Time 0.300 (0.265)	Data 0.239 (0.202)	Loss 5.0346 (5.0076)	Prec@1 4.688 (4.694)	Prec@5 16.406 (16.069)
Epoch: [19][4250/7045]	Time 0.264 (0.266)	Data 0.211 (0.202)	Loss 4.9237 (5.0076)	Prec@1 2.344 (4.692)	Prec@5 16.797 (16.070)
Epoch: [19][4260/7045]	Time 0.778 (0.266)	Data 0.725 (0.202)	Loss 5.0736 (5.0075)	Prec@1 6.641 (4.693)	Prec@5 17.969 (16.074)
Epoch: [19][4270/7045]	Time 0.178 (0.266)	Data 0.120 (0.202)	Loss 5.1130 (5.0074)	Prec@1 3.125 (4.694)	Prec@5 13.672 (16.074)
Epoch: [19][4280/7045]	Time 0.372 (0.266)	Data 0.321 (0.202)	Loss 4.9884 (5.0073)	Prec@1 4.688 (4.694)	Prec@5 19.141 (16.075)
Epoch: [19][4290/7045]	Time 0.276 (0.266)	Data 0.226 (0.202)	Loss 4.9611 (5.0073)	Prec@1 4.688 (4.694)	Prec@5 16.016 (16.078)
Epoch: [19][4300/7045]	Time 0.101 (0.266)	Data 0.008 (0.202)	Loss 5.0461 (5.0072)	Prec@1 3.516 (4.694)	Prec@5 14.062 (16.080)
Epoch: [19][4310/7045]	Time 0.349 (0.266)	Data 0.298 (0.202)	Loss 5.0399 (5.0071)	Prec@1 4.297 (4.695)	Prec@5 17.969 (16.084)
Epoch: [19][4320/7045]	Time 0.134 (0.266)	Data 0.082 (0.203)	Loss 5.0758 (5.0070)	Prec@1 6.250 (4.695)	Prec@5 16.016 (16.084)
Epoch: [19][4330/7045]	Time 0.097 (0.266)	Data 0.001 (0.203)	Loss 4.9900 (5.0070)	Prec@1 6.641 (4.697)	Prec@5 17.188 (16.087)
Epoch: [19][4340/7045]	Time 0.595 (0.266)	Data 0.544 (0.203)	Loss 4.8573 (5.0069)	Prec@1 5.469 (4.698)	Prec@5 18.750 (16.089)
Epoch: [19][4350/7045]	Time 0.101 (0.266)	Data 0.001 (0.203)	Loss 4.9213 (5.0068)	Prec@1 4.688 (4.699)	Prec@5 15.234 (16.091)
Epoch: [19][4360/7045]	Time 0.496 (0.266)	Data 0.437 (0.203)	Loss 4.9461 (5.0066)	Prec@1 5.078 (4.700)	Prec@5 16.016 (16.092)
Epoch: [19][4370/7045]	Time 0.473 (0.266)	Data 0.423 (0.203)	Loss 5.0378 (5.0066)	Prec@1 3.906 (4.700)	Prec@5 14.453 (16.093)
Epoch: [19][4380/7045]	Time 0.120 (0.266)	Data 0.069 (0.203)	Loss 5.1114 (5.0066)	Prec@1 2.734 (4.701)	Prec@5 14.844 (16.095)
Epoch: [19][4390/7045]	Time 0.657 (0.266)	Data 0.597 (0.203)	Loss 5.1761 (5.0066)	Prec@1 5.078 (4.701)	Prec@5 14.453 (16.094)
Epoch: [19][4400/7045]	Time 0.101 (0.266)	Data 0.022 (0.203)	Loss 5.0738 (5.0067)	Prec@1 4.688 (4.701)	Prec@5 15.625 (16.092)
Epoch: [19][4410/7045]	Time 0.579 (0.266)	Data 0.529 (0.203)	Loss 4.9819 (5.0068)	Prec@1 5.078 (4.700)	Prec@5 17.188 (16.090)
Epoch: [19][4420/7045]	Time 0.102 (0.266)	Data 0.003 (0.203)	Loss 5.0153 (5.0067)	Prec@1 6.250 (4.700)	Prec@5 16.406 (16.087)
Epoch: [19][4430/7045]	Time 0.553 (0.267)	Data 0.502 (0.203)	Loss 4.9486 (5.0066)	Prec@1 6.250 (4.702)	Prec@5 17.188 (16.091)
Epoch: [19][4440/7045]	Time 0.119 (0.266)	Data 0.068 (0.203)	Loss 5.1363 (5.0068)	Prec@1 2.344 (4.701)	Prec@5 15.625 (16.088)
Epoch: [19][4450/7045]	Time 0.239 (0.266)	Data 0.188 (0.203)	Loss 5.0595 (5.0068)	Prec@1 2.734 (4.701)	Prec@5 15.625 (16.088)
Epoch: [19][4460/7045]	Time 0.192 (0.266)	Data 0.141 (0.203)	Loss 5.0053 (5.0068)	Prec@1 3.516 (4.702)	Prec@5 20.312 (16.088)
Epoch: [19][4470/7045]	Time 0.102 (0.266)	Data 0.001 (0.203)	Loss 4.9674 (5.0069)	Prec@1 6.250 (4.701)	Prec@5 16.797 (16.086)
Epoch: [19][4480/7045]	Time 0.326 (0.266)	Data 0.265 (0.203)	Loss 4.9952 (5.0068)	Prec@1 4.297 (4.702)	Prec@5 17.188 (16.087)
Epoch: [19][4490/7045]	Time 0.101 (0.267)	Data 0.049 (0.203)	Loss 5.0009 (5.0068)	Prec@1 4.688 (4.701)	Prec@5 15.234 (16.084)
Epoch: [19][4500/7045]	Time 0.143 (0.267)	Data 0.092 (0.203)	Loss 5.3298 (5.0069)	Prec@1 4.297 (4.702)	Prec@5 12.500 (16.083)
Epoch: [19][4510/7045]	Time 0.110 (0.267)	Data 0.058 (0.203)	Loss 5.0545 (5.0069)	Prec@1 2.734 (4.701)	Prec@5 15.234 (16.080)
Epoch: [19][4520/7045]	Time 0.109 (0.267)	Data 0.007 (0.203)	Loss 4.9451 (5.0068)	Prec@1 9.375 (4.703)	Prec@5 23.047 (16.084)
Epoch: [19][4530/7045]	Time 0.102 (0.267)	Data 0.001 (0.203)	Loss 4.9493 (5.0067)	Prec@1 4.297 (4.706)	Prec@5 16.016 (16.088)
Epoch: [19][4540/7045]	Time 1.442 (0.267)	Data 1.384 (0.203)	Loss 4.9263 (5.0066)	Prec@1 4.297 (4.705)	Prec@5 16.797 (16.089)
Epoch: [19][4550/7045]	Time 0.101 (0.267)	Data 0.001 (0.203)	Loss 4.8720 (5.0066)	Prec@1 5.469 (4.705)	Prec@5 18.750 (16.090)
Epoch: [19][4560/7045]	Time 0.218 (0.267)	Data 0.167 (0.203)	Loss 5.0393 (5.0066)	Prec@1 4.688 (4.704)	Prec@5 14.844 (16.088)
Epoch: [19][4570/7045]	Time 0.169 (0.267)	Data 0.117 (0.203)	Loss 4.8778 (5.0065)	Prec@1 3.906 (4.704)	Prec@5 21.875 (16.090)
Epoch: [19][4580/7045]	Time 0.255 (0.267)	Data 0.204 (0.203)	Loss 5.1622 (5.0065)	Prec@1 3.125 (4.705)	Prec@5 13.281 (16.094)
Epoch: [19][4590/7045]	Time 0.526 (0.267)	Data 0.475 (0.203)	Loss 4.9389 (5.0064)	Prec@1 3.906 (4.706)	Prec@5 19.141 (16.096)
Epoch: [19][4600/7045]	Time 0.213 (0.267)	Data 0.162 (0.203)	Loss 5.0087 (5.0064)	Prec@1 2.734 (4.706)	Prec@5 15.625 (16.095)
Epoch: [19][4610/7045]	Time 0.262 (0.267)	Data 0.209 (0.203)	Loss 5.0865 (5.0063)	Prec@1 3.516 (4.706)	Prec@5 17.969 (16.098)
Epoch: [19][4620/7045]	Time 0.111 (0.267)	Data 0.058 (0.203)	Loss 4.9228 (5.0063)	Prec@1 5.859 (4.706)	Prec@5 19.531 (16.099)
Epoch: [19][4630/7045]	Time 0.497 (0.267)	Data 0.446 (0.203)	Loss 4.9600 (5.0063)	Prec@1 3.516 (4.705)	Prec@5 17.188 (16.099)
Epoch: [19][4640/7045]	Time 0.146 (0.267)	Data 0.093 (0.203)	Loss 4.9043 (5.0062)	Prec@1 5.469 (4.706)	Prec@5 16.406 (16.099)
Epoch: [19][4650/7045]	Time 0.174 (0.267)	Data 0.117 (0.203)	Loss 5.0947 (5.0061)	Prec@1 4.688 (4.707)	Prec@5 18.750 (16.100)
Epoch: [19][4660/7045]	Time 0.691 (0.267)	Data 0.640 (0.203)	Loss 5.0983 (5.0061)	Prec@1 2.344 (4.706)	Prec@5 14.453 (16.100)
Epoch: [19][4670/7045]	Time 0.111 (0.267)	Data 0.058 (0.203)	Loss 5.0853 (5.0060)	Prec@1 5.469 (4.707)	Prec@5 16.406 (16.099)
Epoch: [19][4680/7045]	Time 0.529 (0.267)	Data 0.478 (0.203)	Loss 4.8798 (5.0060)	Prec@1 5.469 (4.707)	Prec@5 17.578 (16.100)
Epoch: [19][4690/7045]	Time 0.310 (0.267)	Data 0.260 (0.203)	Loss 4.8551 (5.0060)	Prec@1 6.641 (4.708)	Prec@5 20.312 (16.100)
Epoch: [19][4700/7045]	Time 0.321 (0.267)	Data 0.270 (0.203)	Loss 4.9732 (5.0059)	Prec@1 7.422 (4.709)	Prec@5 17.188 (16.104)
Epoch: [19][4710/7045]	Time 0.669 (0.267)	Data 0.609 (0.203)	Loss 5.0372 (5.0056)	Prec@1 5.469 (4.711)	Prec@5 17.188 (16.108)
Epoch: [19][4720/7045]	Time 0.105 (0.267)	Data 0.048 (0.203)	Loss 4.8703 (5.0055)	Prec@1 5.859 (4.711)	Prec@5 16.406 (16.111)
Epoch: [19][4730/7045]	Time 0.234 (0.267)	Data 0.182 (0.203)	Loss 4.8553 (5.0054)	Prec@1 7.031 (4.712)	Prec@5 21.484 (16.112)
Epoch: [19][4740/7045]	Time 0.107 (0.267)	Data 0.001 (0.203)	Loss 4.8976 (5.0054)	Prec@1 3.516 (4.712)	Prec@5 12.500 (16.110)
Epoch: [19][4750/7045]	Time 0.101 (0.267)	Data 0.001 (0.203)	Loss 4.9588 (5.0053)	Prec@1 6.250 (4.714)	Prec@5 17.578 (16.112)
Epoch: [19][4760/7045]	Time 0.259 (0.267)	Data 0.209 (0.203)	Loss 5.0832 (5.0052)	Prec@1 4.297 (4.715)	Prec@5 17.578 (16.112)
Epoch: [19][4770/7045]	Time 0.235 (0.267)	Data 0.178 (0.203)	Loss 4.8787 (5.0051)	Prec@1 6.250 (4.716)	Prec@5 19.531 (16.115)
Epoch: [19][4780/7045]	Time 0.213 (0.267)	Data 0.162 (0.203)	Loss 4.9417 (5.0050)	Prec@1 6.250 (4.719)	Prec@5 16.797 (16.119)
Epoch: [19][4790/7045]	Time 0.102 (0.267)	Data 0.001 (0.203)	Loss 5.0261 (5.0051)	Prec@1 5.859 (4.718)	Prec@5 17.188 (16.117)
Epoch: [19][4800/7045]	Time 0.102 (0.267)	Data 0.001 (0.203)	Loss 5.0379 (5.0051)	Prec@1 4.297 (4.719)	Prec@5 19.141 (16.120)
Epoch: [19][4810/7045]	Time 0.099 (0.267)	Data 0.045 (0.203)	Loss 4.9374 (5.0051)	Prec@1 6.641 (4.719)	Prec@5 19.922 (16.120)
Epoch: [19][4820/7045]	Time 0.118 (0.267)	Data 0.067 (0.203)	Loss 4.8813 (5.0050)	Prec@1 5.859 (4.720)	Prec@5 17.578 (16.121)
Epoch: [19][4830/7045]	Time 0.102 (0.267)	Data 0.001 (0.203)	Loss 4.8858 (5.0049)	Prec@1 7.812 (4.721)	Prec@5 20.703 (16.125)
Epoch: [19][4840/7045]	Time 0.524 (0.267)	Data 0.464 (0.203)	Loss 5.0275 (5.0049)	Prec@1 6.250 (4.721)	Prec@5 14.062 (16.126)
Epoch: [19][4850/7045]	Time 0.120 (0.267)	Data 0.069 (0.203)	Loss 4.8031 (5.0048)	Prec@1 6.250 (4.722)	Prec@5 20.312 (16.127)
Epoch: [19][4860/7045]	Time 0.394 (0.267)	Data 0.343 (0.203)	Loss 5.0236 (5.0048)	Prec@1 3.125 (4.722)	Prec@5 15.625 (16.129)
Epoch: [19][4870/7045]	Time 0.236 (0.267)	Data 0.184 (0.203)	Loss 4.9232 (5.0047)	Prec@1 5.078 (4.723)	Prec@5 14.844 (16.129)
Epoch: [19][4880/7045]	Time 0.124 (0.267)	Data 0.073 (0.204)	Loss 5.0476 (5.0046)	Prec@1 1.953 (4.722)	Prec@5 14.062 (16.130)
Epoch: [19][4890/7045]	Time 0.701 (0.267)	Data 0.643 (0.204)	Loss 5.0261 (5.0046)	Prec@1 3.516 (4.722)	Prec@5 14.453 (16.132)
Epoch: [19][4900/7045]	Time 0.110 (0.267)	Data 0.058 (0.203)	Loss 4.8920 (5.0045)	Prec@1 7.422 (4.720)	Prec@5 18.359 (16.135)
Epoch: [19][4910/7045]	Time 0.290 (0.267)	Data 0.239 (0.203)	Loss 4.8307 (5.0043)	Prec@1 7.422 (4.720)	Prec@5 17.969 (16.139)
Epoch: [19][4920/7045]	Time 0.482 (0.267)	Data 0.422 (0.203)	Loss 5.0070 (5.0042)	Prec@1 3.906 (4.721)	Prec@5 15.625 (16.142)
Epoch: [19][4930/7045]	Time 0.102 (0.268)	Data 0.001 (0.204)	Loss 4.9082 (5.0041)	Prec@1 6.250 (4.722)	Prec@5 16.016 (16.144)
Epoch: [19][4940/7045]	Time 0.364 (0.268)	Data 0.314 (0.204)	Loss 4.9539 (5.0041)	Prec@1 4.688 (4.722)	Prec@5 14.453 (16.145)
Epoch: [19][4950/7045]	Time 0.156 (0.267)	Data 0.105 (0.204)	Loss 4.8838 (5.0039)	Prec@1 6.641 (4.724)	Prec@5 19.531 (16.149)
Epoch: [19][4960/7045]	Time 0.161 (0.267)	Data 0.109 (0.204)	Loss 5.0458 (5.0038)	Prec@1 1.953 (4.724)	Prec@5 14.453 (16.149)
Epoch: [19][4970/7045]	Time 0.102 (0.267)	Data 0.005 (0.204)	Loss 5.0111 (5.0038)	Prec@1 3.516 (4.723)	Prec@5 14.844 (16.147)
Epoch: [19][4980/7045]	Time 0.269 (0.268)	Data 0.218 (0.204)	Loss 4.8918 (5.0036)	Prec@1 5.078 (4.725)	Prec@5 17.188 (16.151)
Epoch: [19][4990/7045]	Time 0.305 (0.267)	Data 0.253 (0.204)	Loss 4.8622 (5.0035)	Prec@1 7.812 (4.726)	Prec@5 20.312 (16.153)
Epoch: [19][5000/7045]	Time 0.272 (0.268)	Data 0.221 (0.204)	Loss 5.0389 (5.0036)	Prec@1 5.078 (4.725)	Prec@5 14.062 (16.153)
Epoch: [19][5010/7045]	Time 0.205 (0.268)	Data 0.154 (0.204)	Loss 4.9533 (5.0036)	Prec@1 5.469 (4.725)	Prec@5 19.141 (16.155)
Epoch: [19][5020/7045]	Time 0.553 (0.268)	Data 0.502 (0.204)	Loss 5.0937 (5.0036)	Prec@1 5.859 (4.724)	Prec@5 13.672 (16.155)
Epoch: [19][5030/7045]	Time 0.103 (0.268)	Data 0.047 (0.204)	Loss 4.9733 (5.0037)	Prec@1 8.594 (4.725)	Prec@5 21.484 (16.155)
Epoch: [19][5040/7045]	Time 0.515 (0.268)	Data 0.457 (0.204)	Loss 4.9543 (5.0036)	Prec@1 5.859 (4.725)	Prec@5 16.797 (16.157)
Epoch: [19][5050/7045]	Time 0.102 (0.268)	Data 0.001 (0.204)	Loss 5.0789 (5.0037)	Prec@1 6.641 (4.725)	Prec@5 15.625 (16.155)
Epoch: [19][5060/7045]	Time 0.623 (0.268)	Data 0.564 (0.204)	Loss 5.1356 (5.0038)	Prec@1 2.344 (4.723)	Prec@5 12.891 (16.154)
Epoch: [19][5070/7045]	Time 0.112 (0.268)	Data 0.058 (0.204)	Loss 4.9544 (5.0037)	Prec@1 3.125 (4.723)	Prec@5 18.359 (16.157)
Epoch: [19][5080/7045]	Time 0.555 (0.268)	Data 0.504 (0.204)	Loss 5.0464 (5.0036)	Prec@1 3.516 (4.723)	Prec@5 14.062 (16.157)
Epoch: [19][5090/7045]	Time 0.101 (0.268)	Data 0.050 (0.204)	Loss 5.0055 (5.0036)	Prec@1 5.859 (4.723)	Prec@5 16.016 (16.158)
Epoch: [19][5100/7045]	Time 0.109 (0.268)	Data 0.001 (0.204)	Loss 4.9882 (5.0036)	Prec@1 4.297 (4.721)	Prec@5 19.531 (16.156)
Epoch: [19][5110/7045]	Time 0.181 (0.268)	Data 0.131 (0.204)	Loss 4.9115 (5.0036)	Prec@1 6.250 (4.721)	Prec@5 14.453 (16.155)
Epoch: [19][5120/7045]	Time 0.171 (0.268)	Data 0.120 (0.204)	Loss 5.1834 (5.0035)	Prec@1 2.344 (4.721)	Prec@5 13.281 (16.157)
Epoch: [19][5130/7045]	Time 0.102 (0.268)	Data 0.001 (0.204)	Loss 4.8965 (5.0036)	Prec@1 5.078 (4.719)	Prec@5 15.234 (16.154)
Epoch: [19][5140/7045]	Time 0.235 (0.268)	Data 0.184 (0.204)	Loss 4.9987 (5.0036)	Prec@1 6.641 (4.720)	Prec@5 16.406 (16.157)
Epoch: [19][5150/7045]	Time 0.495 (0.268)	Data 0.444 (0.204)	Loss 4.9942 (5.0037)	Prec@1 6.250 (4.720)	Prec@5 19.531 (16.155)
Epoch: [19][5160/7045]	Time 0.108 (0.268)	Data 0.001 (0.204)	Loss 4.9200 (5.0036)	Prec@1 5.859 (4.719)	Prec@5 20.703 (16.158)
Epoch: [19][5170/7045]	Time 0.818 (0.268)	Data 0.766 (0.204)	Loss 4.9644 (5.0036)	Prec@1 5.078 (4.719)	Prec@5 16.797 (16.157)
Epoch: [19][5180/7045]	Time 0.101 (0.268)	Data 0.001 (0.204)	Loss 5.0214 (5.0035)	Prec@1 5.859 (4.719)	Prec@5 17.578 (16.159)
Epoch: [19][5190/7045]	Time 0.622 (0.268)	Data 0.571 (0.204)	Loss 4.9526 (5.0034)	Prec@1 4.688 (4.719)	Prec@5 21.484 (16.162)
Epoch: [19][5200/7045]	Time 0.101 (0.268)	Data 0.001 (0.204)	Loss 4.9008 (5.0035)	Prec@1 6.641 (4.719)	Prec@5 18.750 (16.161)
Epoch: [19][5210/7045]	Time 0.220 (0.268)	Data 0.161 (0.204)	Loss 4.9769 (5.0035)	Prec@1 5.469 (4.719)	Prec@5 15.234 (16.160)
Epoch: [19][5220/7045]	Time 0.101 (0.268)	Data 0.003 (0.204)	Loss 4.7315 (5.0033)	Prec@1 6.250 (4.721)	Prec@5 22.656 (16.164)
Epoch: [19][5230/7045]	Time 0.115 (0.268)	Data 0.061 (0.204)	Loss 5.1012 (5.0034)	Prec@1 4.688 (4.721)	Prec@5 15.234 (16.162)
Epoch: [19][5240/7045]	Time 0.101 (0.268)	Data 0.001 (0.204)	Loss 4.9866 (5.0033)	Prec@1 3.906 (4.720)	Prec@5 14.844 (16.160)
Epoch: [19][5250/7045]	Time 0.232 (0.268)	Data 0.181 (0.204)	Loss 4.9935 (5.0032)	Prec@1 4.688 (4.720)	Prec@5 16.016 (16.163)
Epoch: [19][5260/7045]	Time 0.140 (0.268)	Data 0.089 (0.204)	Loss 4.9786 (5.0032)	Prec@1 6.250 (4.720)	Prec@5 16.016 (16.162)
Epoch: [19][5270/7045]	Time 0.151 (0.268)	Data 0.100 (0.204)	Loss 4.9294 (5.0032)	Prec@1 5.859 (4.720)	Prec@5 18.359 (16.163)
Epoch: [19][5280/7045]	Time 0.449 (0.268)	Data 0.392 (0.204)	Loss 5.0366 (5.0032)	Prec@1 5.469 (4.719)	Prec@5 14.453 (16.162)
Epoch: [19][5290/7045]	Time 0.446 (0.268)	Data 0.395 (0.204)	Loss 4.8775 (5.0032)	Prec@1 5.469 (4.718)	Prec@5 18.750 (16.161)
Epoch: [19][5300/7045]	Time 0.116 (0.268)	Data 0.065 (0.204)	Loss 5.0638 (5.0032)	Prec@1 3.125 (4.718)	Prec@5 12.500 (16.161)
Epoch: [19][5310/7045]	Time 0.380 (0.268)	Data 0.329 (0.204)	Loss 4.9273 (5.0032)	Prec@1 5.469 (4.717)	Prec@5 17.578 (16.160)
Epoch: [19][5320/7045]	Time 0.109 (0.268)	Data 0.057 (0.204)	Loss 4.9959 (5.0033)	Prec@1 4.688 (4.716)	Prec@5 16.016 (16.159)
Epoch: [19][5330/7045]	Time 0.533 (0.268)	Data 0.482 (0.204)	Loss 4.9914 (5.0032)	Prec@1 3.516 (4.717)	Prec@5 18.359 (16.160)
Epoch: [19][5340/7045]	Time 0.117 (0.268)	Data 0.057 (0.204)	Loss 5.0333 (5.0032)	Prec@1 2.734 (4.717)	Prec@5 15.625 (16.161)
Epoch: [19][5350/7045]	Time 0.709 (0.268)	Data 0.658 (0.204)	Loss 4.9742 (5.0032)	Prec@1 5.859 (4.717)	Prec@5 21.484 (16.162)
Epoch: [19][5360/7045]	Time 0.129 (0.268)	Data 0.078 (0.204)	Loss 5.0972 (5.0032)	Prec@1 5.469 (4.715)	Prec@5 19.531 (16.161)
Epoch: [19][5370/7045]	Time 0.461 (0.268)	Data 0.409 (0.204)	Loss 5.0921 (5.0033)	Prec@1 3.906 (4.714)	Prec@5 16.016 (16.162)
Epoch: [19][5380/7045]	Time 0.190 (0.268)	Data 0.132 (0.204)	Loss 5.0424 (5.0033)	Prec@1 3.125 (4.713)	Prec@5 19.531 (16.163)
Epoch: [19][5390/7045]	Time 0.160 (0.268)	Data 0.107 (0.204)	Loss 4.9823 (5.0033)	Prec@1 3.516 (4.714)	Prec@5 17.578 (16.165)
Epoch: [19][5400/7045]	Time 0.289 (0.268)	Data 0.232 (0.204)	Loss 5.0677 (5.0034)	Prec@1 2.734 (4.713)	Prec@5 11.328 (16.164)
Epoch: [19][5410/7045]	Time 0.518 (0.268)	Data 0.469 (0.204)	Loss 4.9318 (5.0034)	Prec@1 6.641 (4.713)	Prec@5 17.578 (16.162)
Epoch: [19][5420/7045]	Time 0.114 (0.268)	Data 0.054 (0.204)	Loss 4.9752 (5.0035)	Prec@1 2.344 (4.712)	Prec@5 17.188 (16.161)
Epoch: [19][5430/7045]	Time 0.112 (0.268)	Data 0.058 (0.204)	Loss 5.0045 (5.0034)	Prec@1 5.078 (4.712)	Prec@5 15.234 (16.159)
Epoch: [19][5440/7045]	Time 0.108 (0.268)	Data 0.001 (0.204)	Loss 5.0048 (5.0034)	Prec@1 5.859 (4.712)	Prec@5 14.844 (16.160)
Epoch: [19][5450/7045]	Time 0.102 (0.268)	Data 0.001 (0.204)	Loss 5.1148 (5.0034)	Prec@1 3.516 (4.711)	Prec@5 13.281 (16.161)
Epoch: [19][5460/7045]	Time 0.102 (0.268)	Data 0.050 (0.204)	Loss 5.0280 (5.0035)	Prec@1 3.125 (4.710)	Prec@5 14.062 (16.158)
Epoch: [19][5470/7045]	Time 0.103 (0.268)	Data 0.001 (0.205)	Loss 5.1683 (5.0035)	Prec@1 2.344 (4.709)	Prec@5 13.281 (16.158)
Epoch: [19][5480/7045]	Time 0.107 (0.268)	Data 0.004 (0.205)	Loss 5.0651 (5.0035)	Prec@1 6.641 (4.709)	Prec@5 19.141 (16.159)
Epoch: [19][5490/7045]	Time 0.102 (0.268)	Data 0.001 (0.204)	Loss 4.9676 (5.0034)	Prec@1 5.469 (4.709)	Prec@5 17.188 (16.159)
Epoch: [19][5500/7045]	Time 0.102 (0.268)	Data 0.001 (0.204)	Loss 5.0375 (5.0035)	Prec@1 5.859 (4.709)	Prec@5 14.844 (16.159)
Epoch: [19][5510/7045]	Time 0.283 (0.268)	Data 0.231 (0.204)	Loss 5.0411 (5.0036)	Prec@1 3.125 (4.710)	Prec@5 14.844 (16.158)
Epoch: [19][5520/7045]	Time 0.111 (0.268)	Data 0.059 (0.204)	Loss 5.1132 (5.0037)	Prec@1 3.906 (4.709)	Prec@5 12.891 (16.156)
Epoch: [19][5530/7045]	Time 0.713 (0.268)	Data 0.662 (0.204)	Loss 5.0187 (5.0038)	Prec@1 3.906 (4.708)	Prec@5 14.062 (16.153)
Epoch: [19][5540/7045]	Time 0.099 (0.268)	Data 0.001 (0.204)	Loss 5.0150 (5.0039)	Prec@1 5.078 (4.709)	Prec@5 15.234 (16.153)
Epoch: [19][5550/7045]	Time 0.583 (0.268)	Data 0.531 (0.204)	Loss 5.0391 (5.0040)	Prec@1 3.125 (4.710)	Prec@5 17.188 (16.151)
Epoch: [19][5560/7045]	Time 0.203 (0.268)	Data 0.147 (0.204)	Loss 5.1119 (5.0039)	Prec@1 5.469 (4.710)	Prec@5 14.062 (16.151)
Epoch: [19][5570/7045]	Time 0.377 (0.268)	Data 0.325 (0.204)	Loss 4.9840 (5.0039)	Prec@1 2.734 (4.709)	Prec@5 13.281 (16.152)
Epoch: [19][5580/7045]	Time 0.103 (0.268)	Data 0.004 (0.204)	Loss 4.9530 (5.0038)	Prec@1 4.297 (4.709)	Prec@5 17.188 (16.153)
Epoch: [19][5590/7045]	Time 0.104 (0.268)	Data 0.001 (0.204)	Loss 4.9912 (5.0037)	Prec@1 5.859 (4.710)	Prec@5 16.016 (16.154)
Epoch: [19][5600/7045]	Time 0.145 (0.269)	Data 0.094 (0.205)	Loss 5.0353 (5.0036)	Prec@1 3.906 (4.711)	Prec@5 12.500 (16.155)
Epoch: [19][5610/7045]	Time 0.201 (0.268)	Data 0.151 (0.204)	Loss 4.9745 (5.0034)	Prec@1 3.125 (4.711)	Prec@5 15.234 (16.157)
Epoch: [19][5620/7045]	Time 0.259 (0.268)	Data 0.208 (0.204)	Loss 5.0028 (5.0034)	Prec@1 2.734 (4.711)	Prec@5 16.797 (16.157)
Epoch: [19][5630/7045]	Time 0.308 (0.268)	Data 0.254 (0.205)	Loss 5.0411 (5.0035)	Prec@1 3.516 (4.711)	Prec@5 16.016 (16.156)
Epoch: [19][5640/7045]	Time 0.100 (0.268)	Data 0.009 (0.204)	Loss 5.1210 (5.0036)	Prec@1 5.078 (4.710)	Prec@5 17.188 (16.154)
Epoch: [19][5650/7045]	Time 0.166 (0.269)	Data 0.114 (0.205)	Loss 5.0028 (5.0035)	Prec@1 3.906 (4.711)	Prec@5 14.453 (16.156)
Epoch: [19][5660/7045]	Time 0.101 (0.269)	Data 0.010 (0.205)	Loss 5.0919 (5.0035)	Prec@1 3.906 (4.711)	Prec@5 13.672 (16.155)
Epoch: [19][5670/7045]	Time 0.113 (0.269)	Data 0.062 (0.205)	Loss 4.9401 (5.0034)	Prec@1 6.250 (4.712)	Prec@5 20.312 (16.158)
Epoch: [19][5680/7045]	Time 0.102 (0.269)	Data 0.048 (0.205)	Loss 4.8732 (5.0034)	Prec@1 5.078 (4.712)	Prec@5 17.188 (16.158)
Epoch: [19][5690/7045]	Time 0.100 (0.269)	Data 0.009 (0.205)	Loss 4.9743 (5.0035)	Prec@1 4.688 (4.712)	Prec@5 14.453 (16.157)
Epoch: [19][5700/7045]	Time 0.100 (0.269)	Data 0.001 (0.205)	Loss 5.1302 (5.0036)	Prec@1 2.344 (4.710)	Prec@5 10.547 (16.155)
Epoch: [19][5710/7045]	Time 0.278 (0.269)	Data 0.227 (0.205)	Loss 5.0475 (5.0036)	Prec@1 5.469 (4.710)	Prec@5 15.625 (16.154)
Epoch: [19][5720/7045]	Time 0.262 (0.269)	Data 0.211 (0.205)	Loss 4.9080 (5.0036)	Prec@1 7.422 (4.710)	Prec@5 18.750 (16.154)
Epoch: [19][5730/7045]	Time 0.470 (0.269)	Data 0.419 (0.205)	Loss 4.9782 (5.0036)	Prec@1 4.688 (4.710)	Prec@5 16.016 (16.153)
Epoch: [19][5740/7045]	Time 0.119 (0.268)	Data 0.067 (0.205)	Loss 4.9749 (5.0036)	Prec@1 4.688 (4.711)	Prec@5 15.234 (16.154)
Epoch: [19][5750/7045]	Time 0.260 (0.268)	Data 0.209 (0.204)	Loss 4.9890 (5.0035)	Prec@1 5.078 (4.713)	Prec@5 16.406 (16.156)
Epoch: [19][5760/7045]	Time 0.227 (0.268)	Data 0.177 (0.204)	Loss 4.9124 (5.0034)	Prec@1 7.031 (4.714)	Prec@5 19.531 (16.159)
Epoch: [19][5770/7045]	Time 0.105 (0.268)	Data 0.055 (0.204)	Loss 5.0549 (5.0034)	Prec@1 6.250 (4.714)	Prec@5 14.453 (16.158)
Epoch: [19][5780/7045]	Time 0.135 (0.269)	Data 0.084 (0.205)	Loss 4.9336 (5.0034)	Prec@1 7.422 (4.715)	Prec@5 17.578 (16.159)
Epoch: [19][5790/7045]	Time 0.151 (0.269)	Data 0.100 (0.205)	Loss 5.0958 (5.0034)	Prec@1 5.469 (4.715)	Prec@5 16.797 (16.158)
Epoch: [19][5800/7045]	Time 0.160 (0.269)	Data 0.108 (0.205)	Loss 4.9355 (5.0033)	Prec@1 5.078 (4.716)	Prec@5 18.750 (16.161)
Epoch: [19][5810/7045]	Time 0.101 (0.268)	Data 0.047 (0.205)	Loss 4.8992 (5.0031)	Prec@1 4.688 (4.717)	Prec@5 16.406 (16.163)
Epoch: [19][5820/7045]	Time 0.102 (0.268)	Data 0.004 (0.205)	Loss 5.0342 (5.0031)	Prec@1 3.516 (4.717)	Prec@5 16.016 (16.164)
Epoch: [19][5830/7045]	Time 0.110 (0.268)	Data 0.001 (0.204)	Loss 4.9145 (5.0032)	Prec@1 7.031 (4.716)	Prec@5 17.578 (16.161)
Epoch: [19][5840/7045]	Time 0.102 (0.268)	Data 0.001 (0.205)	Loss 4.9009 (5.0032)	Prec@1 5.859 (4.717)	Prec@5 16.016 (16.162)
Epoch: [19][5850/7045]	Time 0.100 (0.269)	Data 0.001 (0.204)	Loss 5.1400 (5.0031)	Prec@1 3.125 (4.717)	Prec@5 12.891 (16.161)
Epoch: [19][5860/7045]	Time 0.109 (0.268)	Data 0.057 (0.204)	Loss 4.9831 (5.0032)	Prec@1 3.516 (4.717)	Prec@5 14.844 (16.161)
Epoch: [19][5870/7045]	Time 0.101 (0.268)	Data 0.020 (0.204)	Loss 5.0249 (5.0032)	Prec@1 3.906 (4.717)	Prec@5 14.453 (16.163)
Epoch: [19][5880/7045]	Time 0.107 (0.268)	Data 0.020 (0.204)	Loss 5.0183 (5.0031)	Prec@1 3.516 (4.719)	Prec@5 17.188 (16.164)
Epoch: [19][5890/7045]	Time 0.448 (0.268)	Data 0.396 (0.204)	Loss 4.9597 (5.0031)	Prec@1 4.688 (4.720)	Prec@5 16.406 (16.164)
Epoch: [19][5900/7045]	Time 0.119 (0.268)	Data 0.067 (0.204)	Loss 5.0193 (5.0031)	Prec@1 6.250 (4.720)	Prec@5 17.578 (16.164)
Epoch: [19][5910/7045]	Time 0.726 (0.268)	Data 0.674 (0.204)	Loss 4.8977 (5.0031)	Prec@1 9.375 (4.720)	Prec@5 20.312 (16.165)
Epoch: [19][5920/7045]	Time 0.187 (0.268)	Data 0.138 (0.204)	Loss 5.0221 (5.0031)	Prec@1 4.297 (4.721)	Prec@5 14.453 (16.164)
Epoch: [19][5930/7045]	Time 0.101 (0.268)	Data 0.050 (0.204)	Loss 5.1303 (5.0031)	Prec@1 5.078 (4.721)	Prec@5 13.281 (16.165)
Epoch: [19][5940/7045]	Time 0.198 (0.268)	Data 0.146 (0.204)	Loss 5.0850 (5.0032)	Prec@1 6.250 (4.720)	Prec@5 15.625 (16.164)
Epoch: [19][5950/7045]	Time 0.102 (0.268)	Data 0.001 (0.204)	Loss 5.0354 (5.0032)	Prec@1 6.250 (4.721)	Prec@5 17.578 (16.163)
Epoch: [19][5960/7045]	Time 0.195 (0.268)	Data 0.144 (0.204)	Loss 5.0535 (5.0031)	Prec@1 3.125 (4.721)	Prec@5 16.406 (16.164)
Epoch: [19][5970/7045]	Time 0.275 (0.268)	Data 0.219 (0.204)	Loss 4.9312 (5.0031)	Prec@1 4.297 (4.721)	Prec@5 19.141 (16.164)
Epoch: [19][5980/7045]	Time 0.137 (0.268)	Data 0.085 (0.204)	Loss 5.0090 (5.0030)	Prec@1 2.734 (4.722)	Prec@5 16.016 (16.164)
Epoch: [19][5990/7045]	Time 0.101 (0.268)	Data 0.001 (0.204)	Loss 4.8046 (5.0029)	Prec@1 5.078 (4.723)	Prec@5 18.359 (16.166)
Epoch: [19][6000/7045]	Time 0.122 (0.268)	Data 0.070 (0.204)	Loss 4.9758 (5.0028)	Prec@1 4.688 (4.723)	Prec@5 14.453 (16.168)
Epoch: [19][6010/7045]	Time 0.106 (0.268)	Data 0.002 (0.204)	Loss 5.1536 (5.0028)	Prec@1 3.125 (4.722)	Prec@5 11.719 (16.166)
Epoch: [19][6020/7045]	Time 0.581 (0.268)	Data 0.531 (0.204)	Loss 5.0157 (5.0029)	Prec@1 4.297 (4.722)	Prec@5 18.359 (16.167)
Epoch: [19][6030/7045]	Time 0.142 (0.268)	Data 0.087 (0.204)	Loss 5.0502 (5.0029)	Prec@1 3.906 (4.721)	Prec@5 14.844 (16.165)
Epoch: [19][6040/7045]	Time 0.589 (0.268)	Data 0.537 (0.204)	Loss 4.9404 (5.0030)	Prec@1 5.859 (4.721)	Prec@5 17.578 (16.166)
Epoch: [19][6050/7045]	Time 0.111 (0.268)	Data 0.058 (0.204)	Loss 4.9903 (5.0030)	Prec@1 5.859 (4.722)	Prec@5 17.969 (16.167)
Epoch: [19][6060/7045]	Time 0.396 (0.268)	Data 0.344 (0.204)	Loss 4.9830 (5.0029)	Prec@1 4.688 (4.723)	Prec@5 16.016 (16.168)
Epoch: [19][6070/7045]	Time 0.109 (0.268)	Data 0.056 (0.204)	Loss 5.0698 (5.0029)	Prec@1 3.906 (4.723)	Prec@5 17.188 (16.169)
Epoch: [19][6080/7045]	Time 0.359 (0.268)	Data 0.309 (0.204)	Loss 4.9446 (5.0029)	Prec@1 3.125 (4.722)	Prec@5 16.016 (16.168)
Epoch: [19][6090/7045]	Time 0.227 (0.268)	Data 0.177 (0.204)	Loss 4.9925 (5.0028)	Prec@1 3.906 (4.723)	Prec@5 13.281 (16.169)
Epoch: [19][6100/7045]	Time 0.193 (0.268)	Data 0.142 (0.204)	Loss 4.8585 (5.0028)	Prec@1 6.250 (4.724)	Prec@5 18.359 (16.170)
Epoch: [19][6110/7045]	Time 0.346 (0.268)	Data 0.294 (0.204)	Loss 5.1621 (5.0028)	Prec@1 4.688 (4.724)	Prec@5 14.453 (16.170)
Epoch: [19][6120/7045]	Time 0.102 (0.269)	Data 0.001 (0.205)	Loss 4.9360 (5.0028)	Prec@1 6.250 (4.724)	Prec@5 16.797 (16.169)
Epoch: [19][6130/7045]	Time 0.100 (0.268)	Data 0.048 (0.204)	Loss 4.8635 (5.0027)	Prec@1 7.031 (4.725)	Prec@5 16.797 (16.172)
Epoch: [19][6140/7045]	Time 0.100 (0.268)	Data 0.001 (0.204)	Loss 5.0398 (5.0026)	Prec@1 4.688 (4.725)	Prec@5 18.359 (16.173)
Epoch: [19][6150/7045]	Time 0.402 (0.268)	Data 0.350 (0.204)	Loss 4.8131 (5.0024)	Prec@1 5.469 (4.726)	Prec@5 19.141 (16.176)
Epoch: [19][6160/7045]	Time 0.101 (0.268)	Data 0.001 (0.204)	Loss 5.0607 (5.0025)	Prec@1 3.516 (4.726)	Prec@5 13.672 (16.174)
Epoch: [19][6170/7045]	Time 0.101 (0.268)	Data 0.001 (0.204)	Loss 5.0233 (5.0026)	Prec@1 5.078 (4.726)	Prec@5 13.281 (16.171)
Epoch: [19][6180/7045]	Time 0.151 (0.268)	Data 0.100 (0.204)	Loss 5.0861 (5.0026)	Prec@1 3.516 (4.725)	Prec@5 14.844 (16.171)
Epoch: [19][6190/7045]	Time 0.427 (0.268)	Data 0.376 (0.204)	Loss 4.9597 (5.0026)	Prec@1 7.031 (4.725)	Prec@5 17.188 (16.170)
Epoch: [19][6200/7045]	Time 0.106 (0.268)	Data 0.055 (0.204)	Loss 5.2258 (5.0028)	Prec@1 1.953 (4.723)	Prec@5 12.500 (16.167)
Epoch: [19][6210/7045]	Time 0.126 (0.268)	Data 0.074 (0.204)	Loss 5.0608 (5.0029)	Prec@1 3.906 (4.723)	Prec@5 15.625 (16.166)
Epoch: [19][6220/7045]	Time 0.216 (0.268)	Data 0.165 (0.204)	Loss 5.1153 (5.0029)	Prec@1 3.125 (4.723)	Prec@5 14.062 (16.166)
Epoch: [19][6230/7045]	Time 0.563 (0.268)	Data 0.503 (0.204)	Loss 5.0315 (5.0030)	Prec@1 4.297 (4.723)	Prec@5 11.719 (16.164)
Epoch: [19][6240/7045]	Time 0.101 (0.268)	Data 0.009 (0.204)	Loss 4.9235 (5.0030)	Prec@1 5.859 (4.722)	Prec@5 16.406 (16.163)
Epoch: [19][6250/7045]	Time 0.279 (0.269)	Data 0.222 (0.205)	Loss 5.0460 (5.0030)	Prec@1 3.516 (4.722)	Prec@5 12.109 (16.163)
Epoch: [19][6260/7045]	Time 0.101 (0.269)	Data 0.002 (0.205)	Loss 4.8205 (5.0030)	Prec@1 6.250 (4.723)	Prec@5 14.453 (16.164)
Epoch: [19][6270/7045]	Time 0.136 (0.269)	Data 0.079 (0.205)	Loss 5.0068 (5.0030)	Prec@1 2.344 (4.723)	Prec@5 14.062 (16.165)
Epoch: [19][6280/7045]	Time 0.101 (0.268)	Data 0.012 (0.204)	Loss 4.9475 (5.0030)	Prec@1 6.641 (4.724)	Prec@5 20.312 (16.166)
Epoch: [19][6290/7045]	Time 0.101 (0.268)	Data 0.003 (0.204)	Loss 5.0416 (5.0030)	Prec@1 3.906 (4.724)	Prec@5 16.797 (16.167)
Epoch: [19][6300/7045]	Time 0.101 (0.269)	Data 0.001 (0.205)	Loss 5.0550 (5.0030)	Prec@1 3.906 (4.724)	Prec@5 14.453 (16.168)
Epoch: [19][6310/7045]	Time 0.147 (0.268)	Data 0.096 (0.204)	Loss 5.0639 (5.0030)	Prec@1 4.297 (4.723)	Prec@5 10.156 (16.167)
Epoch: [19][6320/7045]	Time 0.131 (0.268)	Data 0.080 (0.204)	Loss 4.9109 (5.0031)	Prec@1 6.250 (4.724)	Prec@5 19.531 (16.167)
Epoch: [19][6330/7045]	Time 0.371 (0.268)	Data 0.320 (0.204)	Loss 4.9860 (5.0031)	Prec@1 4.688 (4.724)	Prec@5 17.578 (16.167)
Epoch: [19][6340/7045]	Time 0.208 (0.268)	Data 0.157 (0.204)	Loss 4.9419 (5.0033)	Prec@1 7.422 (4.724)	Prec@5 20.312 (16.165)
Epoch: [19][6350/7045]	Time 0.458 (0.268)	Data 0.401 (0.204)	Loss 5.1166 (5.0033)	Prec@1 0.391 (4.724)	Prec@5 10.547 (16.163)
Epoch: [19][6360/7045]	Time 0.144 (0.268)	Data 0.093 (0.204)	Loss 5.1155 (5.0035)	Prec@1 4.688 (4.723)	Prec@5 14.062 (16.158)
Epoch: [19][6370/7045]	Time 0.245 (0.268)	Data 0.194 (0.204)	Loss 4.9692 (5.0036)	Prec@1 4.297 (4.723)	Prec@5 15.625 (16.159)
Epoch: [19][6380/7045]	Time 0.163 (0.268)	Data 0.112 (0.205)	Loss 5.1045 (5.0037)	Prec@1 3.125 (4.722)	Prec@5 12.500 (16.158)
Epoch: [19][6390/7045]	Time 0.207 (0.268)	Data 0.157 (0.205)	Loss 4.9558 (5.0038)	Prec@1 6.641 (4.722)	Prec@5 14.844 (16.156)
Epoch: [19][6400/7045]	Time 0.206 (0.268)	Data 0.154 (0.205)	Loss 5.1167 (5.0039)	Prec@1 3.516 (4.721)	Prec@5 14.062 (16.154)
Epoch: [19][6410/7045]	Time 0.102 (0.268)	Data 0.001 (0.204)	Loss 4.9145 (5.0038)	Prec@1 5.078 (4.721)	Prec@5 17.188 (16.155)
Epoch: [19][6420/7045]	Time 0.102 (0.268)	Data 0.017 (0.204)	Loss 4.8862 (5.0037)	Prec@1 3.906 (4.722)	Prec@5 18.359 (16.156)
Epoch: [19][6430/7045]	Time 0.904 (0.268)	Data 0.853 (0.205)	Loss 4.8959 (5.0037)	Prec@1 3.516 (4.722)	Prec@5 16.406 (16.157)
Epoch: [19][6440/7045]	Time 0.101 (0.268)	Data 0.001 (0.204)	Loss 4.9531 (5.0036)	Prec@1 5.078 (4.723)	Prec@5 19.141 (16.158)
Epoch: [19][6450/7045]	Time 0.373 (0.269)	Data 0.322 (0.205)	Loss 4.9559 (5.0036)	Prec@1 5.859 (4.724)	Prec@5 18.750 (16.160)
Epoch: [19][6460/7045]	Time 0.198 (0.269)	Data 0.146 (0.205)	Loss 4.9686 (5.0035)	Prec@1 5.078 (4.724)	Prec@5 14.844 (16.158)
Epoch: [19][6470/7045]	Time 0.107 (0.269)	Data 0.055 (0.205)	Loss 5.0147 (5.0035)	Prec@1 7.422 (4.725)	Prec@5 16.797 (16.159)
Epoch: [19][6480/7045]	Time 0.199 (0.269)	Data 0.147 (0.205)	Loss 5.1862 (5.0035)	Prec@1 6.641 (4.725)	Prec@5 13.672 (16.158)
Epoch: [19][6490/7045]	Time 0.102 (0.268)	Data 0.006 (0.205)	Loss 4.9801 (5.0035)	Prec@1 3.125 (4.724)	Prec@5 14.453 (16.159)
Epoch: [19][6500/7045]	Time 0.254 (0.269)	Data 0.201 (0.205)	Loss 4.9555 (5.0035)	Prec@1 6.250 (4.725)	Prec@5 15.625 (16.158)
Epoch: [19][6510/7045]	Time 0.104 (0.269)	Data 0.051 (0.205)	Loss 5.1047 (5.0036)	Prec@1 2.344 (4.724)	Prec@5 14.844 (16.156)
Epoch: [19][6520/7045]	Time 0.109 (0.269)	Data 0.057 (0.205)	Loss 4.9985 (5.0036)	Prec@1 5.859 (4.724)	Prec@5 16.797 (16.157)
Epoch: [19][6530/7045]	Time 0.112 (0.269)	Data 0.060 (0.205)	Loss 5.0271 (5.0036)	Prec@1 4.688 (4.724)	Prec@5 12.109 (16.155)
Epoch: [19][6540/7045]	Time 0.244 (0.269)	Data 0.193 (0.205)	Loss 5.0119 (5.0037)	Prec@1 5.859 (4.723)	Prec@5 16.406 (16.154)
Epoch: [19][6550/7045]	Time 0.109 (0.269)	Data 0.001 (0.205)	Loss 5.0430 (5.0037)	Prec@1 3.516 (4.723)	Prec@5 14.453 (16.154)
Epoch: [19][6560/7045]	Time 0.102 (0.269)	Data 0.001 (0.205)	Loss 5.0984 (5.0038)	Prec@1 1.953 (4.721)	Prec@5 14.062 (16.152)
Epoch: [19][6570/7045]	Time 0.548 (0.269)	Data 0.497 (0.205)	Loss 5.0421 (5.0038)	Prec@1 4.297 (4.722)	Prec@5 16.797 (16.153)
Epoch: [19][6580/7045]	Time 0.133 (0.269)	Data 0.081 (0.205)	Loss 5.0877 (5.0038)	Prec@1 3.516 (4.722)	Prec@5 11.719 (16.152)
Epoch: [19][6590/7045]	Time 0.427 (0.269)	Data 0.375 (0.205)	Loss 4.8469 (5.0038)	Prec@1 6.250 (4.723)	Prec@5 17.969 (16.152)
Epoch: [19][6600/7045]	Time 0.243 (0.269)	Data 0.192 (0.205)	Loss 4.8630 (5.0038)	Prec@1 6.641 (4.723)	Prec@5 18.750 (16.153)
Epoch: [19][6610/7045]	Time 0.108 (0.269)	Data 0.001 (0.205)	Loss 4.9825 (5.0037)	Prec@1 5.469 (4.724)	Prec@5 16.797 (16.154)
Epoch: [19][6620/7045]	Time 0.660 (0.269)	Data 0.608 (0.205)	Loss 5.0377 (5.0038)	Prec@1 5.469 (4.724)	Prec@5 17.578 (16.153)
Epoch: [19][6630/7045]	Time 0.205 (0.269)	Data 0.155 (0.205)	Loss 5.1120 (5.0038)	Prec@1 4.297 (4.723)	Prec@5 14.062 (16.152)
Epoch: [19][6640/7045]	Time 0.230 (0.268)	Data 0.179 (0.205)	Loss 4.9512 (5.0039)	Prec@1 6.641 (4.723)	Prec@5 19.141 (16.152)
Epoch: [19][6650/7045]	Time 0.746 (0.269)	Data 0.694 (0.205)	Loss 5.0778 (5.0039)	Prec@1 2.344 (4.722)	Prec@5 12.500 (16.149)
Epoch: [19][6660/7045]	Time 0.154 (0.269)	Data 0.094 (0.205)	Loss 5.0775 (5.0040)	Prec@1 4.688 (4.720)	Prec@5 14.844 (16.148)
Epoch: [19][6670/7045]	Time 0.459 (0.269)	Data 0.408 (0.205)	Loss 5.0433 (5.0040)	Prec@1 5.469 (4.721)	Prec@5 16.797 (16.148)
Epoch: [19][6680/7045]	Time 0.101 (0.269)	Data 0.006 (0.205)	Loss 4.9811 (5.0040)	Prec@1 5.078 (4.721)	Prec@5 22.656 (16.150)
Epoch: [19][6690/7045]	Time 0.102 (0.269)	Data 0.001 (0.205)	Loss 4.8792 (5.0039)	Prec@1 7.031 (4.721)	Prec@5 20.312 (16.151)
Epoch: [19][6700/7045]	Time 0.147 (0.269)	Data 0.095 (0.205)	Loss 5.0197 (5.0039)	Prec@1 4.297 (4.720)	Prec@5 17.578 (16.151)
Epoch: [19][6710/7045]	Time 0.253 (0.269)	Data 0.201 (0.205)	Loss 5.0780 (5.0040)	Prec@1 2.734 (4.719)	Prec@5 12.500 (16.149)
Epoch: [19][6720/7045]	Time 0.101 (0.269)	Data 0.001 (0.205)	Loss 5.0304 (5.0041)	Prec@1 4.688 (4.719)	Prec@5 15.234 (16.147)
Epoch: [19][6730/7045]	Time 0.149 (0.269)	Data 0.097 (0.205)	Loss 5.0653 (5.0042)	Prec@1 3.906 (4.718)	Prec@5 13.672 (16.146)
Epoch: [19][6740/7045]	Time 0.115 (0.269)	Data 0.064 (0.205)	Loss 4.9203 (5.0042)	Prec@1 7.422 (4.719)	Prec@5 22.656 (16.147)
Epoch: [19][6750/7045]	Time 0.402 (0.269)	Data 0.350 (0.205)	Loss 4.9844 (5.0042)	Prec@1 4.297 (4.720)	Prec@5 16.016 (16.147)
Epoch: [19][6760/7045]	Time 0.102 (0.269)	Data 0.001 (0.205)	Loss 5.0070 (5.0043)	Prec@1 3.906 (4.720)	Prec@5 14.062 (16.145)
Epoch: [19][6770/7045]	Time 0.678 (0.269)	Data 0.627 (0.205)	Loss 4.9223 (5.0042)	Prec@1 5.859 (4.719)	Prec@5 16.797 (16.144)
Epoch: [19][6780/7045]	Time 0.103 (0.269)	Data 0.001 (0.205)	Loss 4.9959 (5.0042)	Prec@1 5.469 (4.719)	Prec@5 17.188 (16.143)
Epoch: [19][6790/7045]	Time 0.424 (0.269)	Data 0.373 (0.205)	Loss 5.0307 (5.0042)	Prec@1 3.906 (4.719)	Prec@5 15.625 (16.144)
Epoch: [19][6800/7045]	Time 0.108 (0.269)	Data 0.009 (0.205)	Loss 4.9974 (5.0042)	Prec@1 3.906 (4.718)	Prec@5 16.797 (16.143)
Epoch: [19][6810/7045]	Time 0.291 (0.269)	Data 0.239 (0.205)	Loss 5.0451 (5.0043)	Prec@1 5.859 (4.718)	Prec@5 16.016 (16.142)
Epoch: [19][6820/7045]	Time 0.102 (0.269)	Data 0.048 (0.205)	Loss 4.9199 (5.0043)	Prec@1 3.516 (4.717)	Prec@5 17.188 (16.141)
Epoch: [19][6830/7045]	Time 0.146 (0.269)	Data 0.095 (0.205)	Loss 5.0065 (5.0044)	Prec@1 5.859 (4.718)	Prec@5 18.359 (16.140)
Epoch: [19][6840/7045]	Time 0.101 (0.269)	Data 0.003 (0.205)	Loss 5.0139 (5.0043)	Prec@1 4.688 (4.718)	Prec@5 15.625 (16.141)
Epoch: [19][6850/7045]	Time 0.356 (0.269)	Data 0.305 (0.205)	Loss 5.0007 (5.0043)	Prec@1 3.125 (4.717)	Prec@5 14.844 (16.142)
Epoch: [19][6860/7045]	Time 0.101 (0.269)	Data 0.001 (0.205)	Loss 4.9001 (5.0044)	Prec@1 4.297 (4.717)	Prec@5 16.016 (16.141)
Epoch: [19][6870/7045]	Time 0.412 (0.269)	Data 0.355 (0.205)	Loss 5.0947 (5.0044)	Prec@1 5.078 (4.715)	Prec@5 16.016 (16.140)
Epoch: [19][6880/7045]	Time 0.356 (0.269)	Data 0.305 (0.205)	Loss 5.1776 (5.0045)	Prec@1 1.562 (4.714)	Prec@5 10.938 (16.138)
Epoch: [19][6890/7045]	Time 0.298 (0.269)	Data 0.245 (0.205)	Loss 5.1803 (5.0046)	Prec@1 2.344 (4.713)	Prec@5 14.062 (16.136)
Epoch: [19][6900/7045]	Time 0.103 (0.269)	Data 0.006 (0.205)	Loss 5.0859 (5.0047)	Prec@1 4.297 (4.712)	Prec@5 14.062 (16.134)
Epoch: [19][6910/7045]	Time 0.229 (0.269)	Data 0.178 (0.205)	Loss 4.9990 (5.0049)	Prec@1 6.250 (4.711)	Prec@5 16.406 (16.133)
Epoch: [19][6920/7045]	Time 0.102 (0.269)	Data 0.014 (0.205)	Loss 4.9118 (5.0049)	Prec@1 4.688 (4.710)	Prec@5 17.188 (16.133)
Epoch: [19][6930/7045]	Time 0.107 (0.269)	Data 0.001 (0.205)	Loss 5.1100 (5.0049)	Prec@1 4.297 (4.710)	Prec@5 13.672 (16.133)
Epoch: [19][6940/7045]	Time 0.475 (0.269)	Data 0.423 (0.205)	Loss 5.0184 (5.0049)	Prec@1 3.125 (4.709)	Prec@5 14.062 (16.131)
Epoch: [19][6950/7045]	Time 0.102 (0.269)	Data 0.001 (0.205)	Loss 4.9682 (5.0050)	Prec@1 2.734 (4.708)	Prec@5 15.234 (16.130)
Epoch: [19][6960/7045]	Time 0.783 (0.269)	Data 0.729 (0.205)	Loss 5.0869 (5.0049)	Prec@1 4.297 (4.709)	Prec@5 13.672 (16.131)
Epoch: [19][6970/7045]	Time 0.171 (0.269)	Data 0.119 (0.205)	Loss 4.9014 (5.0049)	Prec@1 3.516 (4.709)	Prec@5 16.797 (16.132)
Epoch: [19][6980/7045]	Time 0.413 (0.269)	Data 0.362 (0.205)	Loss 5.0366 (5.0049)	Prec@1 4.688 (4.709)	Prec@5 14.062 (16.131)
Epoch: [19][6990/7045]	Time 0.101 (0.269)	Data 0.001 (0.205)	Loss 5.0791 (5.0048)	Prec@1 5.469 (4.710)	Prec@5 17.578 (16.132)
Epoch: [19][7000/7045]	Time 0.587 (0.269)	Data 0.536 (0.205)	Loss 4.8537 (5.0048)	Prec@1 5.469 (4.709)	Prec@5 16.797 (16.131)
Epoch: [19][7010/7045]	Time 0.101 (0.269)	Data 0.001 (0.205)	Loss 4.8581 (5.0047)	Prec@1 4.688 (4.709)	Prec@5 16.016 (16.132)
Epoch: [19][7020/7045]	Time 0.308 (0.269)	Data 0.256 (0.205)	Loss 4.9465 (5.0046)	Prec@1 5.469 (4.710)	Prec@5 17.188 (16.133)
Epoch: [19][7030/7045]	Time 0.102 (0.269)	Data 0.001 (0.205)	Loss 5.0809 (5.0047)	Prec@1 3.906 (4.709)	Prec@5 12.500 (16.131)
Epoch: [19][7040/7045]	Time 0.158 (0.269)	Data 0.106 (0.205)	Loss 5.0587 (5.0047)	Prec@1 3.906 (4.709)	Prec@5 13.672 (16.130)
Test: [0/143]	Time 1.407 (1.407)	Loss 4.8289 (4.8289)	Prec@1 5.078 (5.078)	Prec@5 20.312 (20.312)
Test: [10/143]	Time 0.048 (0.270)	Loss 4.5419 (4.9043)	Prec@1 9.375 (5.256)	Prec@5 32.031 (19.567)
Test: [20/143]	Time 0.177 (0.226)	Loss 5.1210 (4.8501)	Prec@1 0.781 (6.213)	Prec@5 5.859 (20.871)
Test: [30/143]	Time 0.214 (0.223)	Loss 4.8741 (4.8326)	Prec@1 7.422 (6.489)	Prec@5 18.359 (21.333)
Test: [40/143]	Time 0.295 (0.209)	Loss 5.0731 (4.8120)	Prec@1 0.000 (6.279)	Prec@5 3.516 (20.798)
Test: [50/143]	Time 0.060 (0.203)	Loss 4.4892 (4.8206)	Prec@1 8.594 (6.227)	Prec@5 29.688 (20.757)
Test: [60/143]	Time 0.308 (0.201)	Loss 5.1876 (4.8056)	Prec@1 0.000 (6.461)	Prec@5 8.594 (21.209)
Test: [70/143]	Time 0.047 (0.197)	Loss 5.2649 (4.8118)	Prec@1 1.172 (6.569)	Prec@5 7.031 (21.110)
Test: [80/143]	Time 0.098 (0.195)	Loss 4.6566 (4.8206)	Prec@1 7.031 (6.284)	Prec@5 26.172 (20.780)
Test: [90/143]	Time 0.294 (0.197)	Loss 5.0231 (4.8193)	Prec@1 3.125 (6.233)	Prec@5 14.062 (20.849)
Test: [100/143]	Time 0.208 (0.193)	Loss 4.3656 (4.8080)	Prec@1 12.891 (6.401)	Prec@5 38.281 (21.132)
Test: [110/143]	Time 0.127 (0.192)	Loss 4.7821 (4.8056)	Prec@1 8.984 (6.539)	Prec@5 24.219 (21.073)
Test: [120/143]	Time 0.106 (0.191)	Loss 4.5171 (4.7923)	Prec@1 7.031 (6.844)	Prec@5 30.859 (21.604)
Test: [130/143]	Time 0.262 (0.192)	Loss 4.5327 (4.7868)	Prec@1 12.500 (6.876)	Prec@5 25.391 (21.586)
Test: [140/143]	Time 0.061 (0.189)	Loss 5.3282 (4.7961)	Prec@1 1.172 (6.818)	Prec@5 5.078 (21.362)
 * Prec@1 6.827 Prec@5 21.395
Epoch: [20][0/7045]	Time 2.344 (2.344)	Data 2.286 (2.286)	Loss 5.0734 (5.0734)	Prec@1 3.906 (3.906)	Prec@5 14.062 (14.062)
Epoch: [20][10/7045]	Time 0.101 (0.396)	Data 0.001 (0.316)	Loss 5.0966 (5.0307)	Prec@1 3.125 (3.977)	Prec@5 13.672 (15.270)
Epoch: [20][20/7045]	Time 0.203 (0.336)	Data 0.145 (0.265)	Loss 5.1175 (5.0499)	Prec@1 3.516 (3.999)	Prec@5 14.062 (14.788)
Epoch: [20][30/7045]	Time 0.101 (0.301)	Data 0.001 (0.227)	Loss 4.9730 (5.0392)	Prec@1 4.688 (4.221)	Prec@5 14.453 (15.083)
Epoch: [20][40/7045]	Time 0.099 (0.291)	Data 0.047 (0.220)	Loss 4.9979 (5.0242)	Prec@1 2.734 (4.173)	Prec@5 18.750 (15.520)
Epoch: [20][50/7045]	Time 0.640 (0.287)	Data 0.589 (0.220)	Loss 5.0248 (5.0208)	Prec@1 3.516 (4.274)	Prec@5 15.234 (15.901)
Epoch: [20][60/7045]	Time 0.109 (0.278)	Data 0.058 (0.209)	Loss 4.8807 (5.0132)	Prec@1 2.734 (4.207)	Prec@5 17.969 (16.035)
Epoch: [20][70/7045]	Time 0.671 (0.277)	Data 0.619 (0.207)	Loss 4.8615 (5.0070)	Prec@1 5.469 (4.264)	Prec@5 21.484 (16.230)
Epoch: [20][80/7045]	Time 0.122 (0.268)	Data 0.071 (0.198)	Loss 4.9588 (5.0064)	Prec@1 2.734 (4.307)	Prec@5 16.797 (16.165)
Epoch: [20][90/7045]	Time 0.120 (0.275)	Data 0.067 (0.206)	Loss 5.0369 (5.0067)	Prec@1 3.516 (4.336)	Prec@5 14.062 (16.136)
Epoch: [20][100/7045]	Time 0.101 (0.271)	Data 0.001 (0.201)	Loss 4.9152 (5.0105)	Prec@1 5.469 (4.378)	Prec@5 17.578 (16.043)
Epoch: [20][110/7045]	Time 0.250 (0.271)	Data 0.199 (0.201)	Loss 5.0431 (5.0128)	Prec@1 3.125 (4.395)	Prec@5 16.016 (16.051)
Epoch: [20][120/7045]	Time 0.102 (0.271)	Data 0.012 (0.202)	Loss 4.9959 (5.0136)	Prec@1 3.125 (4.342)	Prec@5 15.234 (16.003)
Epoch: [20][130/7045]	Time 0.108 (0.268)	Data 0.056 (0.199)	Loss 4.8801 (5.0124)	Prec@1 5.859 (4.377)	Prec@5 16.406 (15.980)
Epoch: [20][140/7045]	Time 0.193 (0.270)	Data 0.143 (0.201)	Loss 5.1725 (5.0059)	Prec@1 4.688 (4.444)	Prec@5 13.672 (16.065)
Epoch: [20][150/7045]	Time 0.101 (0.266)	Data 0.011 (0.196)	Loss 5.0805 (5.0095)	Prec@1 5.469 (4.517)	Prec@5 15.625 (16.054)
Epoch: [20][160/7045]	Time 0.127 (0.266)	Data 0.075 (0.197)	Loss 5.0144 (5.0107)	Prec@1 6.250 (4.527)	Prec@5 16.797 (16.040)
Epoch: [20][170/7045]	Time 0.112 (0.264)	Data 0.059 (0.196)	Loss 5.0567 (5.0107)	Prec@1 4.297 (4.491)	Prec@5 12.500 (15.972)
Epoch: [20][180/7045]	Time 0.122 (0.265)	Data 0.064 (0.197)	Loss 4.9101 (5.0089)	Prec@1 6.641 (4.552)	Prec@5 19.922 (16.044)
Epoch: [20][190/7045]	Time 0.109 (0.263)	Data 0.055 (0.195)	Loss 4.9935 (5.0076)	Prec@1 4.688 (4.553)	Prec@5 17.969 (16.095)
Epoch: [20][200/7045]	Time 0.099 (0.263)	Data 0.045 (0.195)	Loss 5.0294 (5.0053)	Prec@1 5.078 (4.536)	Prec@5 14.062 (16.095)
Epoch: [20][210/7045]	Time 0.179 (0.262)	Data 0.127 (0.195)	Loss 4.8977 (5.0062)	Prec@1 5.469 (4.528)	Prec@5 19.531 (16.056)
Epoch: [20][220/7045]	Time 0.100 (0.262)	Data 0.001 (0.195)	Loss 5.0408 (5.0067)	Prec@1 5.469 (4.511)	Prec@5 15.625 (16.035)
Epoch: [20][230/7045]	Time 0.350 (0.263)	Data 0.296 (0.196)	Loss 5.1010 (5.0068)	Prec@1 3.125 (4.510)	Prec@5 12.891 (16.007)
Epoch: [20][240/7045]	Time 0.101 (0.263)	Data 0.001 (0.195)	Loss 5.1592 (5.0067)	Prec@1 3.906 (4.516)	Prec@5 15.625 (16.011)
Epoch: [20][250/7045]	Time 0.107 (0.262)	Data 0.001 (0.195)	Loss 5.0678 (5.0086)	Prec@1 3.125 (4.518)	Prec@5 13.672 (15.980)
Epoch: [20][260/7045]	Time 0.370 (0.262)	Data 0.319 (0.195)	Loss 4.9531 (5.0083)	Prec@1 3.125 (4.532)	Prec@5 14.453 (15.986)
Epoch: [20][270/7045]	Time 0.325 (0.262)	Data 0.272 (0.196)	Loss 4.9808 (5.0087)	Prec@1 5.469 (4.513)	Prec@5 16.016 (15.993)
Epoch: [20][280/7045]	Time 0.325 (0.262)	Data 0.273 (0.196)	Loss 4.9353 (5.0082)	Prec@1 4.297 (4.504)	Prec@5 15.234 (15.993)
Epoch: [20][290/7045]	Time 0.118 (0.265)	Data 0.067 (0.200)	Loss 4.7947 (5.0069)	Prec@1 7.422 (4.530)	Prec@5 20.703 (16.006)
Epoch: [20][300/7045]	Time 0.131 (0.266)	Data 0.081 (0.201)	Loss 5.0119 (5.0079)	Prec@1 1.562 (4.519)	Prec@5 13.281 (16.009)
Epoch: [20][310/7045]	Time 0.369 (0.266)	Data 0.317 (0.201)	Loss 5.0616 (5.0080)	Prec@1 5.859 (4.517)	Prec@5 14.844 (16.021)
Epoch: [20][320/7045]	Time 0.224 (0.265)	Data 0.172 (0.200)	Loss 5.0118 (5.0066)	Prec@1 5.078 (4.552)	Prec@5 16.016 (16.051)
Epoch: [20][330/7045]	Time 0.653 (0.265)	Data 0.594 (0.201)	Loss 4.9520 (5.0067)	Prec@1 6.250 (4.564)	Prec@5 19.922 (16.077)
Epoch: [20][340/7045]	Time 0.095 (0.265)	Data 0.001 (0.200)	Loss 4.9623 (5.0064)	Prec@1 5.859 (4.587)	Prec@5 16.797 (16.097)
Epoch: [20][350/7045]	Time 0.449 (0.265)	Data 0.398 (0.200)	Loss 4.8032 (5.0039)	Prec@1 5.078 (4.606)	Prec@5 19.922 (16.186)
Epoch: [20][360/7045]	Time 0.101 (0.265)	Data 0.026 (0.200)	Loss 4.9731 (5.0044)	Prec@1 5.469 (4.612)	Prec@5 18.750 (16.211)
Epoch: [20][370/7045]	Time 0.101 (0.266)	Data 0.001 (0.200)	Loss 4.9830 (5.0048)	Prec@1 5.469 (4.623)	Prec@5 16.016 (16.187)
Epoch: [20][380/7045]	Time 0.112 (0.265)	Data 0.059 (0.200)	Loss 4.9726 (5.0047)	Prec@1 2.734 (4.630)	Prec@5 17.188 (16.209)
Epoch: [20][390/7045]	Time 0.435 (0.265)	Data 0.383 (0.200)	Loss 5.0564 (5.0043)	Prec@1 5.078 (4.627)	Prec@5 17.578 (16.217)
Epoch: [20][400/7045]	Time 0.118 (0.264)	Data 0.059 (0.199)	Loss 5.3217 (5.0060)	Prec@1 3.125 (4.612)	Prec@5 12.500 (16.171)
Epoch: [20][410/7045]	Time 0.568 (0.265)	Data 0.517 (0.199)	Loss 5.1008 (5.0081)	Prec@1 2.344 (4.599)	Prec@5 14.062 (16.154)
Epoch: [20][420/7045]	Time 0.101 (0.264)	Data 0.018 (0.198)	Loss 5.2446 (5.0108)	Prec@1 1.562 (4.574)	Prec@5 9.766 (16.096)
Epoch: [20][430/7045]	Time 0.515 (0.264)	Data 0.458 (0.199)	Loss 4.9737 (5.0125)	Prec@1 5.078 (4.572)	Prec@5 16.016 (16.059)
Epoch: [20][440/7045]	Time 0.108 (0.264)	Data 0.017 (0.198)	Loss 4.8944 (5.0128)	Prec@1 4.297 (4.568)	Prec@5 18.359 (16.046)
Epoch: [20][450/7045]	Time 0.107 (0.265)	Data 0.001 (0.199)	Loss 4.9993 (5.0121)	Prec@1 5.078 (4.575)	Prec@5 14.453 (16.057)
Epoch: [20][460/7045]	Time 0.272 (0.264)	Data 0.219 (0.198)	Loss 5.0422 (5.0114)	Prec@1 7.031 (4.584)	Prec@5 17.188 (16.066)
Epoch: [20][470/7045]	Time 0.219 (0.264)	Data 0.168 (0.198)	Loss 4.8395 (5.0101)	Prec@1 5.859 (4.590)	Prec@5 19.141 (16.095)
Epoch: [20][480/7045]	Time 0.344 (0.266)	Data 0.292 (0.200)	Loss 4.8053 (5.0081)	Prec@1 5.469 (4.614)	Prec@5 19.922 (16.123)
Epoch: [20][490/7045]	Time 0.372 (0.266)	Data 0.320 (0.200)	Loss 4.9323 (5.0071)	Prec@1 3.125 (4.615)	Prec@5 18.359 (16.129)
Epoch: [20][500/7045]	Time 0.158 (0.265)	Data 0.107 (0.200)	Loss 4.9427 (5.0076)	Prec@1 3.125 (4.617)	Prec@5 15.234 (16.122)
Epoch: [20][510/7045]	Time 0.444 (0.266)	Data 0.392 (0.201)	Loss 4.9789 (5.0078)	Prec@1 5.469 (4.623)	Prec@5 16.797 (16.148)
Epoch: [20][520/7045]	Time 0.133 (0.265)	Data 0.081 (0.200)	Loss 4.9245 (5.0074)	Prec@1 5.078 (4.629)	Prec@5 16.797 (16.160)
Epoch: [20][530/7045]	Time 0.104 (0.265)	Data 0.051 (0.200)	Loss 4.9775 (5.0070)	Prec@1 3.516 (4.637)	Prec@5 17.578 (16.180)
Epoch: [20][540/7045]	Time 0.607 (0.265)	Data 0.558 (0.201)	Loss 4.8722 (5.0066)	Prec@1 6.641 (4.636)	Prec@5 21.484 (16.198)
Epoch: [20][550/7045]	Time 0.101 (0.265)	Data 0.001 (0.201)	Loss 4.8279 (5.0063)	Prec@1 5.078 (4.646)	Prec@5 20.703 (16.223)
Epoch: [20][560/7045]	Time 0.522 (0.265)	Data 0.471 (0.200)	Loss 4.9402 (5.0059)	Prec@1 4.688 (4.636)	Prec@5 17.188 (16.229)
Epoch: [20][570/7045]	Time 0.103 (0.266)	Data 0.001 (0.200)	Loss 5.1187 (5.0064)	Prec@1 5.469 (4.643)	Prec@5 14.453 (16.218)
Epoch: [20][580/7045]	Time 0.524 (0.265)	Data 0.472 (0.200)	Loss 5.2308 (5.0085)	Prec@1 3.125 (4.619)	Prec@5 10.156 (16.171)
Epoch: [20][590/7045]	Time 0.101 (0.265)	Data 0.001 (0.200)	Loss 4.9423 (5.0100)	Prec@1 5.078 (4.605)	Prec@5 17.188 (16.144)
Epoch: [20][600/7045]	Time 0.369 (0.265)	Data 0.319 (0.200)	Loss 4.9333 (5.0105)	Prec@1 4.688 (4.601)	Prec@5 19.922 (16.140)
Epoch: [20][610/7045]	Time 0.265 (0.265)	Data 0.213 (0.200)	Loss 5.0297 (5.0101)	Prec@1 2.734 (4.595)	Prec@5 15.625 (16.136)
Epoch: [20][620/7045]	Time 0.219 (0.265)	Data 0.168 (0.200)	Loss 4.9802 (5.0102)	Prec@1 2.344 (4.589)	Prec@5 15.234 (16.127)
Epoch: [20][630/7045]	Time 0.224 (0.265)	Data 0.172 (0.200)	Loss 4.9788 (5.0105)	Prec@1 4.688 (4.589)	Prec@5 13.281 (16.113)
Epoch: [20][640/7045]	Time 0.142 (0.265)	Data 0.090 (0.200)	Loss 4.9714 (5.0106)	Prec@1 4.688 (4.599)	Prec@5 15.625 (16.114)
Epoch: [20][650/7045]	Time 0.190 (0.265)	Data 0.139 (0.200)	Loss 4.9393 (5.0110)	Prec@1 7.812 (4.602)	Prec@5 19.531 (16.106)
Epoch: [20][660/7045]	Time 0.241 (0.265)	Data 0.190 (0.200)	Loss 4.8200 (5.0108)	Prec@1 5.859 (4.608)	Prec@5 20.312 (16.104)
Epoch: [20][670/7045]	Time 0.220 (0.264)	Data 0.169 (0.200)	Loss 4.7927 (5.0098)	Prec@1 7.812 (4.629)	Prec@5 18.750 (16.126)
Epoch: [20][680/7045]	Time 0.811 (0.265)	Data 0.759 (0.200)	Loss 4.9922 (5.0099)	Prec@1 2.734 (4.617)	Prec@5 16.797 (16.123)
Epoch: [20][690/7045]	Time 0.110 (0.264)	Data 0.001 (0.199)	Loss 4.9886 (5.0087)	Prec@1 3.906 (4.617)	Prec@5 16.797 (16.142)
Epoch: [20][700/7045]	Time 0.909 (0.265)	Data 0.851 (0.200)	Loss 4.9632 (5.0093)	Prec@1 5.469 (4.620)	Prec@5 19.922 (16.122)
Epoch: [20][710/7045]	Time 0.100 (0.264)	Data 0.004 (0.199)	Loss 5.0527 (5.0094)	Prec@1 4.297 (4.617)	Prec@5 16.016 (16.130)
Epoch: [20][720/7045]	Time 0.249 (0.264)	Data 0.197 (0.199)	Loss 5.0080 (5.0092)	Prec@1 4.297 (4.621)	Prec@5 16.406 (16.143)
Epoch: [20][730/7045]	Time 0.101 (0.264)	Data 0.001 (0.199)	Loss 4.9740 (5.0090)	Prec@1 5.078 (4.620)	Prec@5 18.750 (16.140)
Epoch: [20][740/7045]	Time 0.344 (0.264)	Data 0.293 (0.199)	Loss 5.0467 (5.0091)	Prec@1 3.516 (4.630)	Prec@5 16.797 (16.142)
Epoch: [20][750/7045]	Time 0.123 (0.264)	Data 0.071 (0.199)	Loss 5.0551 (5.0094)	Prec@1 3.125 (4.632)	Prec@5 14.844 (16.138)
Epoch: [20][760/7045]	Time 0.101 (0.266)	Data 0.001 (0.201)	Loss 5.0157 (5.0093)	Prec@1 6.641 (4.630)	Prec@5 17.578 (16.125)
Epoch: [20][770/7045]	Time 0.384 (0.266)	Data 0.324 (0.201)	Loss 4.9025 (5.0095)	Prec@1 5.469 (4.628)	Prec@5 17.188 (16.121)
Epoch: [20][780/7045]	Time 0.101 (0.266)	Data 0.001 (0.201)	Loss 5.0851 (5.0096)	Prec@1 4.688 (4.627)	Prec@5 14.453 (16.124)
Epoch: [20][790/7045]	Time 0.120 (0.266)	Data 0.068 (0.201)	Loss 4.8835 (5.0098)	Prec@1 6.250 (4.628)	Prec@5 19.922 (16.121)
Epoch: [20][800/7045]	Time 0.455 (0.266)	Data 0.394 (0.201)	Loss 4.9086 (5.0097)	Prec@1 5.469 (4.636)	Prec@5 19.922 (16.132)
Epoch: [20][810/7045]	Time 0.110 (0.266)	Data 0.059 (0.201)	Loss 4.9628 (5.0098)	Prec@1 2.344 (4.630)	Prec@5 16.797 (16.133)
Epoch: [20][820/7045]	Time 0.315 (0.266)	Data 0.265 (0.201)	Loss 5.0961 (5.0102)	Prec@1 5.469 (4.629)	Prec@5 9.766 (16.116)
Epoch: [20][830/7045]	Time 0.101 (0.267)	Data 0.027 (0.203)	Loss 5.0792 (5.0112)	Prec@1 5.078 (4.620)	Prec@5 16.016 (16.102)
Epoch: [20][840/7045]	Time 0.102 (0.267)	Data 0.001 (0.202)	Loss 5.0723 (5.0120)	Prec@1 4.688 (4.613)	Prec@5 16.797 (16.083)
Epoch: [20][850/7045]	Time 0.527 (0.268)	Data 0.476 (0.203)	Loss 5.0890 (5.0124)	Prec@1 3.516 (4.609)	Prec@5 11.328 (16.082)
Epoch: [20][860/7045]	Time 0.165 (0.267)	Data 0.113 (0.203)	Loss 4.8861 (5.0121)	Prec@1 4.297 (4.606)	Prec@5 18.750 (16.091)
Epoch: [20][870/7045]	Time 0.108 (0.267)	Data 0.055 (0.203)	Loss 4.9427 (5.0121)	Prec@1 3.125 (4.604)	Prec@5 16.797 (16.091)
Epoch: [20][880/7045]	Time 0.101 (0.267)	Data 0.007 (0.203)	Loss 5.1017 (5.0118)	Prec@1 4.688 (4.604)	Prec@5 12.891 (16.090)
Epoch: [20][890/7045]	Time 0.447 (0.267)	Data 0.395 (0.203)	Loss 4.9442 (5.0123)	Prec@1 3.906 (4.605)	Prec@5 15.625 (16.084)
Epoch: [20][900/7045]	Time 0.162 (0.267)	Data 0.109 (0.202)	Loss 4.8976 (5.0127)	Prec@1 5.859 (4.606)	Prec@5 17.969 (16.078)
Epoch: [20][910/7045]	Time 0.316 (0.267)	Data 0.264 (0.203)	Loss 5.0146 (5.0124)	Prec@1 4.688 (4.609)	Prec@5 15.625 (16.083)
Epoch: [20][920/7045]	Time 0.581 (0.267)	Data 0.530 (0.203)	Loss 5.0470 (5.0122)	Prec@1 3.516 (4.618)	Prec@5 15.625 (16.095)
Epoch: [20][930/7045]	Time 0.101 (0.267)	Data 0.001 (0.203)	Loss 5.0058 (5.0117)	Prec@1 4.688 (4.614)	Prec@5 15.625 (16.105)
Epoch: [20][940/7045]	Time 1.702 (0.269)	Data 1.651 (0.204)	Loss 5.1533 (5.0115)	Prec@1 4.688 (4.617)	Prec@5 15.234 (16.113)
Epoch: [20][950/7045]	Time 0.101 (0.268)	Data 0.004 (0.204)	Loss 4.9134 (5.0110)	Prec@1 5.859 (4.618)	Prec@5 14.062 (16.109)
Epoch: [20][960/7045]	Time 0.113 (0.268)	Data 0.060 (0.204)	Loss 4.9245 (5.0110)	Prec@1 5.859 (4.624)	Prec@5 16.016 (16.123)
Epoch: [20][970/7045]	Time 0.103 (0.268)	Data 0.050 (0.203)	Loss 4.9909 (5.0108)	Prec@1 4.297 (4.626)	Prec@5 17.188 (16.125)
Epoch: [20][980/7045]	Time 0.102 (0.268)	Data 0.001 (0.204)	Loss 5.1573 (5.0110)	Prec@1 5.078 (4.622)	Prec@5 13.281 (16.115)
Epoch: [20][990/7045]	Time 0.102 (0.268)	Data 0.001 (0.203)	Loss 5.0709 (5.0115)	Prec@1 1.953 (4.618)	Prec@5 10.938 (16.098)
Epoch: [20][1000/7045]	Time 0.103 (0.268)	Data 0.001 (0.203)	Loss 5.0248 (5.0118)	Prec@1 4.297 (4.618)	Prec@5 16.016 (16.101)
Epoch: [20][1010/7045]	Time 0.421 (0.268)	Data 0.370 (0.203)	Loss 5.0106 (5.0119)	Prec@1 5.469 (4.623)	Prec@5 15.234 (16.101)
Epoch: [20][1020/7045]	Time 0.474 (0.269)	Data 0.421 (0.204)	Loss 4.9378 (5.0116)	Prec@1 5.859 (4.629)	Prec@5 15.234 (16.102)
Epoch: [20][1030/7045]	Time 0.273 (0.270)	Data 0.222 (0.205)	Loss 4.9479 (5.0107)	Prec@1 5.469 (4.639)	Prec@5 18.359 (16.120)
Epoch: [20][1040/7045]	Time 0.104 (0.270)	Data 0.052 (0.205)	Loss 4.9369 (5.0107)	Prec@1 4.297 (4.640)	Prec@5 17.188 (16.120)
Epoch: [20][1050/7045]	Time 0.111 (0.270)	Data 0.018 (0.205)	Loss 4.9812 (5.0102)	Prec@1 5.859 (4.641)	Prec@5 19.141 (16.129)
Epoch: [20][1060/7045]	Time 0.103 (0.270)	Data 0.051 (0.204)	Loss 4.9401 (5.0099)	Prec@1 4.688 (4.640)	Prec@5 15.625 (16.130)
Epoch: [20][1070/7045]	Time 0.543 (0.270)	Data 0.491 (0.205)	Loss 5.0625 (5.0104)	Prec@1 3.516 (4.634)	Prec@5 14.844 (16.120)
Epoch: [20][1080/7045]	Time 0.556 (0.270)	Data 0.506 (0.205)	Loss 4.8947 (5.0100)	Prec@1 4.688 (4.638)	Prec@5 14.844 (16.114)
Epoch: [20][1090/7045]	Time 0.292 (0.270)	Data 0.241 (0.204)	Loss 5.2309 (5.0102)	Prec@1 2.734 (4.636)	Prec@5 10.547 (16.106)
Epoch: [20][1100/7045]	Time 0.641 (0.270)	Data 0.590 (0.205)	Loss 4.8972 (5.0093)	Prec@1 6.641 (4.643)	Prec@5 19.531 (16.129)
Epoch: [20][1110/7045]	Time 0.385 (0.270)	Data 0.333 (0.205)	Loss 4.9441 (5.0091)	Prec@1 5.078 (4.647)	Prec@5 14.844 (16.133)
Epoch: [20][1120/7045]	Time 0.100 (0.271)	Data 0.006 (0.206)	Loss 4.9151 (5.0089)	Prec@1 7.031 (4.649)	Prec@5 21.484 (16.140)
Epoch: [20][1130/7045]	Time 0.259 (0.271)	Data 0.206 (0.206)	Loss 4.8691 (5.0087)	Prec@1 5.078 (4.651)	Prec@5 19.922 (16.151)
Epoch: [20][1140/7045]	Time 0.101 (0.271)	Data 0.028 (0.206)	Loss 4.6979 (5.0083)	Prec@1 6.250 (4.647)	Prec@5 22.266 (16.155)
Epoch: [20][1150/7045]	Time 0.104 (0.271)	Data 0.052 (0.206)	Loss 4.9041 (5.0080)	Prec@1 5.078 (4.652)	Prec@5 18.359 (16.165)
Epoch: [20][1160/7045]	Time 0.274 (0.271)	Data 0.222 (0.206)	Loss 5.0019 (5.0086)	Prec@1 6.250 (4.649)	Prec@5 17.969 (16.162)
Epoch: [20][1170/7045]	Time 0.354 (0.271)	Data 0.303 (0.206)	Loss 4.8610 (5.0084)	Prec@1 7.031 (4.646)	Prec@5 21.484 (16.163)
Epoch: [20][1180/7045]	Time 0.101 (0.270)	Data 0.018 (0.206)	Loss 4.9789 (5.0085)	Prec@1 4.297 (4.642)	Prec@5 15.234 (16.157)
Epoch: [20][1190/7045]	Time 0.401 (0.272)	Data 0.340 (0.207)	Loss 5.0878 (5.0089)	Prec@1 3.906 (4.644)	Prec@5 12.891 (16.148)
Epoch: [20][1200/7045]	Time 0.106 (0.271)	Data 0.011 (0.206)	Loss 4.9899 (5.0088)	Prec@1 5.859 (4.647)	Prec@5 17.969 (16.150)
Epoch: [20][1210/7045]	Time 0.244 (0.271)	Data 0.194 (0.207)	Loss 5.0455 (5.0089)	Prec@1 2.734 (4.644)	Prec@5 13.672 (16.152)
Epoch: [20][1220/7045]	Time 0.195 (0.271)	Data 0.144 (0.206)	Loss 4.9051 (5.0082)	Prec@1 8.984 (4.650)	Prec@5 21.875 (16.169)
Epoch: [20][1230/7045]	Time 0.715 (0.271)	Data 0.662 (0.207)	Loss 5.0482 (5.0084)	Prec@1 3.516 (4.648)	Prec@5 18.750 (16.168)
Epoch: [20][1240/7045]	Time 0.227 (0.271)	Data 0.176 (0.206)	Loss 5.3180 (5.0095)	Prec@1 4.297 (4.643)	Prec@5 12.109 (16.144)
Epoch: [20][1250/7045]	Time 0.308 (0.271)	Data 0.256 (0.206)	Loss 5.0656 (5.0094)	Prec@1 4.688 (4.641)	Prec@5 16.406 (16.145)
Epoch: [20][1260/7045]	Time 0.098 (0.271)	Data 0.013 (0.206)	Loss 4.9234 (5.0096)	Prec@1 5.859 (4.648)	Prec@5 16.406 (16.144)
Epoch: [20][1270/7045]	Time 0.101 (0.271)	Data 0.015 (0.206)	Loss 5.1478 (5.0096)	Prec@1 4.688 (4.648)	Prec@5 12.891 (16.147)
Epoch: [20][1280/7045]	Time 0.108 (0.273)	Data 0.015 (0.208)	Loss 4.9842 (5.0095)	Prec@1 5.469 (4.651)	Prec@5 16.016 (16.159)
Epoch: [20][1290/7045]	Time 0.223 (0.272)	Data 0.171 (0.207)	Loss 5.1056 (5.0095)	Prec@1 5.469 (4.653)	Prec@5 16.406 (16.155)
Epoch: [20][1300/7045]	Time 0.140 (0.272)	Data 0.088 (0.207)	Loss 4.9834 (5.0094)	Prec@1 4.688 (4.655)	Prec@5 16.406 (16.158)
Epoch: [20][1310/7045]	Time 0.700 (0.272)	Data 0.649 (0.208)	Loss 5.0850 (5.0096)	Prec@1 4.297 (4.649)	Prec@5 15.625 (16.151)
Epoch: [20][1320/7045]	Time 0.204 (0.272)	Data 0.153 (0.207)	Loss 5.0841 (5.0095)	Prec@1 4.297 (4.649)	Prec@5 13.281 (16.149)
Epoch: [20][1330/7045]	Time 0.345 (0.272)	Data 0.293 (0.207)	Loss 5.0883 (5.0097)	Prec@1 4.688 (4.646)	Prec@5 15.234 (16.140)
Epoch: [20][1340/7045]	Time 0.221 (0.272)	Data 0.169 (0.207)	Loss 5.2143 (5.0101)	Prec@1 2.344 (4.640)	Prec@5 10.156 (16.125)
Epoch: [20][1350/7045]	Time 0.107 (0.273)	Data 0.055 (0.208)	Loss 4.9915 (5.0110)	Prec@1 4.297 (4.632)	Prec@5 14.844 (16.104)
Epoch: [20][1360/7045]	Time 0.435 (0.273)	Data 0.383 (0.208)	Loss 5.1861 (5.0114)	Prec@1 3.516 (4.630)	Prec@5 14.844 (16.095)
Epoch: [20][1370/7045]	Time 0.287 (0.272)	Data 0.236 (0.208)	Loss 4.9790 (5.0116)	Prec@1 3.906 (4.630)	Prec@5 17.188 (16.102)
Epoch: [20][1380/7045]	Time 0.440 (0.272)	Data 0.388 (0.208)	Loss 4.9857 (5.0115)	Prec@1 5.469 (4.631)	Prec@5 18.359 (16.101)
Epoch: [20][1390/7045]	Time 0.601 (0.272)	Data 0.549 (0.208)	Loss 5.0558 (5.0116)	Prec@1 2.344 (4.630)	Prec@5 12.891 (16.103)
Epoch: [20][1400/7045]	Time 0.107 (0.272)	Data 0.013 (0.207)	Loss 5.1729 (5.0119)	Prec@1 5.078 (4.633)	Prec@5 10.938 (16.096)
Epoch: [20][1410/7045]	Time 0.603 (0.272)	Data 0.553 (0.208)	Loss 5.0653 (5.0122)	Prec@1 5.469 (4.632)	Prec@5 13.281 (16.093)
Epoch: [20][1420/7045]	Time 0.336 (0.272)	Data 0.286 (0.207)	Loss 4.9580 (5.0128)	Prec@1 4.688 (4.634)	Prec@5 19.531 (16.087)
Epoch: [20][1430/7045]	Time 0.118 (0.272)	Data 0.065 (0.207)	Loss 5.0536 (5.0129)	Prec@1 3.906 (4.632)	Prec@5 14.453 (16.081)
Epoch: [20][1440/7045]	Time 2.403 (0.273)	Data 2.352 (0.209)	Loss 5.1000 (5.0128)	Prec@1 2.344 (4.630)	Prec@5 12.109 (16.082)
Epoch: [20][1450/7045]	Time 0.116 (0.273)	Data 0.059 (0.208)	Loss 5.1159 (5.0134)	Prec@1 3.906 (4.624)	Prec@5 14.062 (16.065)
Epoch: [20][1460/7045]	Time 0.550 (0.273)	Data 0.500 (0.208)	Loss 5.2471 (5.0140)	Prec@1 3.125 (4.619)	Prec@5 11.328 (16.053)
Epoch: [20][1470/7045]	Time 0.198 (0.273)	Data 0.146 (0.208)	Loss 4.9612 (5.0144)	Prec@1 5.469 (4.618)	Prec@5 15.625 (16.042)
Epoch: [20][1480/7045]	Time 0.332 (0.273)	Data 0.280 (0.208)	Loss 5.0717 (5.0147)	Prec@1 5.469 (4.616)	Prec@5 16.797 (16.040)
Epoch: [20][1490/7045]	Time 0.122 (0.272)	Data 0.070 (0.208)	Loss 5.0568 (5.0152)	Prec@1 2.344 (4.608)	Prec@5 12.500 (16.032)
Epoch: [20][1500/7045]	Time 0.171 (0.272)	Data 0.120 (0.208)	Loss 4.9098 (5.0149)	Prec@1 6.250 (4.610)	Prec@5 19.141 (16.035)
Epoch: [20][1510/7045]	Time 0.108 (0.272)	Data 0.027 (0.208)	Loss 4.9624 (5.0151)	Prec@1 3.125 (4.607)	Prec@5 17.188 (16.038)
Epoch: [20][1520/7045]	Time 0.102 (0.273)	Data 0.001 (0.208)	Loss 4.7820 (5.0145)	Prec@1 8.203 (4.614)	Prec@5 21.094 (16.052)
Epoch: [20][1530/7045]	Time 0.247 (0.273)	Data 0.189 (0.208)	Loss 4.9375 (5.0141)	Prec@1 5.469 (4.616)	Prec@5 16.016 (16.060)
Epoch: [20][1540/7045]	Time 0.111 (0.272)	Data 0.059 (0.208)	Loss 4.8945 (5.0142)	Prec@1 5.469 (4.618)	Prec@5 20.703 (16.066)
Epoch: [20][1550/7045]	Time 0.105 (0.272)	Data 0.006 (0.208)	Loss 5.2210 (5.0145)	Prec@1 2.344 (4.613)	Prec@5 14.453 (16.058)
Epoch: [20][1560/7045]	Time 0.522 (0.272)	Data 0.470 (0.208)	Loss 5.0586 (5.0147)	Prec@1 1.953 (4.610)	Prec@5 14.453 (16.045)
Epoch: [20][1570/7045]	Time 0.102 (0.272)	Data 0.001 (0.207)	Loss 5.1200 (5.0151)	Prec@1 2.734 (4.604)	Prec@5 12.891 (16.036)
Epoch: [20][1580/7045]	Time 0.102 (0.272)	Data 0.009 (0.207)	Loss 5.0268 (5.0156)	Prec@1 2.344 (4.601)	Prec@5 13.281 (16.027)
Epoch: [20][1590/7045]	Time 0.235 (0.273)	Data 0.184 (0.208)	Loss 4.9364 (5.0158)	Prec@1 4.688 (4.599)	Prec@5 17.188 (16.019)
Epoch: [20][1600/7045]	Time 0.101 (0.272)	Data 0.001 (0.208)	Loss 4.9184 (5.0160)	Prec@1 5.078 (4.601)	Prec@5 21.094 (16.023)
Epoch: [20][1610/7045]	Time 0.289 (0.272)	Data 0.229 (0.208)	Loss 4.9451 (5.0159)	Prec@1 5.078 (4.602)	Prec@5 17.188 (16.029)
Epoch: [20][1620/7045]	Time 0.112 (0.272)	Data 0.059 (0.207)	Loss 5.0038 (5.0159)	Prec@1 4.297 (4.604)	Prec@5 14.453 (16.028)
Epoch: [20][1630/7045]	Time 0.106 (0.272)	Data 0.055 (0.207)	Loss 5.1620 (5.0159)	Prec@1 3.516 (4.604)	Prec@5 13.672 (16.026)
Epoch: [20][1640/7045]	Time 0.118 (0.272)	Data 0.067 (0.208)	Loss 4.9891 (5.0162)	Prec@1 5.078 (4.598)	Prec@5 16.016 (16.017)
Epoch: [20][1650/7045]	Time 0.102 (0.272)	Data 0.001 (0.207)	Loss 5.1327 (5.0163)	Prec@1 3.906 (4.599)	Prec@5 15.625 (16.018)
Epoch: [20][1660/7045]	Time 0.722 (0.272)	Data 0.663 (0.207)	Loss 5.0216 (5.0164)	Prec@1 5.078 (4.599)	Prec@5 16.406 (16.018)
Epoch: [20][1670/7045]	Time 0.102 (0.272)	Data 0.026 (0.207)	Loss 5.1767 (5.0164)	Prec@1 3.125 (4.600)	Prec@5 15.625 (16.017)
Epoch: [20][1680/7045]	Time 2.255 (0.273)	Data 2.205 (0.208)	Loss 4.9449 (5.0165)	Prec@1 5.078 (4.602)	Prec@5 16.016 (16.017)
Epoch: [20][1690/7045]	Time 0.102 (0.273)	Data 0.014 (0.208)	Loss 5.0843 (5.0165)	Prec@1 2.734 (4.600)	Prec@5 12.109 (16.015)
Epoch: [20][1700/7045]	Time 0.111 (0.273)	Data 0.001 (0.208)	Loss 4.9181 (5.0166)	Prec@1 5.859 (4.601)	Prec@5 16.016 (16.008)
Epoch: [20][1710/7045]	Time 0.504 (0.273)	Data 0.452 (0.208)	Loss 4.9542 (5.0163)	Prec@1 3.906 (4.604)	Prec@5 15.625 (16.012)
Epoch: [20][1720/7045]	Time 0.108 (0.273)	Data 0.006 (0.208)	Loss 5.0845 (5.0162)	Prec@1 4.297 (4.604)	Prec@5 12.891 (16.011)
Epoch: [20][1730/7045]	Time 0.654 (0.273)	Data 0.603 (0.208)	Loss 5.0126 (5.0159)	Prec@1 4.688 (4.608)	Prec@5 12.500 (16.015)
Epoch: [20][1740/7045]	Time 0.223 (0.273)	Data 0.166 (0.208)	Loss 5.0154 (5.0158)	Prec@1 6.250 (4.612)	Prec@5 17.969 (16.023)
Epoch: [20][1750/7045]	Time 0.102 (0.272)	Data 0.001 (0.208)	Loss 4.9021 (5.0156)	Prec@1 6.250 (4.614)	Prec@5 16.016 (16.026)
Epoch: [20][1760/7045]	Time 0.109 (0.273)	Data 0.001 (0.208)	Loss 5.0672 (5.0153)	Prec@1 3.906 (4.616)	Prec@5 16.016 (16.033)
Epoch: [20][1770/7045]	Time 0.103 (0.273)	Data 0.050 (0.208)	Loss 4.9474 (5.0154)	Prec@1 4.688 (4.616)	Prec@5 16.016 (16.027)
Epoch: [20][1780/7045]	Time 0.168 (0.273)	Data 0.109 (0.208)	Loss 5.1485 (5.0153)	Prec@1 3.125 (4.617)	Prec@5 14.844 (16.031)
Epoch: [20][1790/7045]	Time 0.765 (0.273)	Data 0.706 (0.208)	Loss 5.1163 (5.0151)	Prec@1 5.469 (4.622)	Prec@5 15.625 (16.033)
Epoch: [20][1800/7045]	Time 0.176 (0.273)	Data 0.124 (0.208)	Loss 4.9321 (5.0147)	Prec@1 5.078 (4.624)	Prec@5 16.406 (16.037)
Epoch: [20][1810/7045]	Time 0.410 (0.273)	Data 0.358 (0.208)	Loss 5.0584 (5.0147)	Prec@1 5.469 (4.624)	Prec@5 16.016 (16.034)
Epoch: [20][1820/7045]	Time 0.363 (0.272)	Data 0.312 (0.207)	Loss 4.9106 (5.0147)	Prec@1 5.469 (4.627)	Prec@5 16.406 (16.035)
Epoch: [20][1830/7045]	Time 0.358 (0.273)	Data 0.306 (0.208)	Loss 5.0295 (5.0145)	Prec@1 4.297 (4.627)	Prec@5 14.453 (16.036)
Epoch: [20][1840/7045]	Time 0.227 (0.273)	Data 0.175 (0.208)	Loss 5.0101 (5.0143)	Prec@1 3.516 (4.629)	Prec@5 14.453 (16.045)
Epoch: [20][1850/7045]	Time 0.213 (0.273)	Data 0.157 (0.208)	Loss 4.9676 (5.0140)	Prec@1 6.250 (4.632)	Prec@5 19.922 (16.050)
Epoch: [20][1860/7045]	Time 0.101 (0.273)	Data 0.001 (0.208)	Loss 5.1917 (5.0141)	Prec@1 2.344 (4.633)	Prec@5 10.938 (16.047)
Epoch: [20][1870/7045]	Time 0.363 (0.272)	Data 0.312 (0.208)	Loss 5.0207 (5.0140)	Prec@1 4.688 (4.632)	Prec@5 15.625 (16.044)
Epoch: [20][1880/7045]	Time 0.603 (0.272)	Data 0.551 (0.208)	Loss 4.8594 (5.0137)	Prec@1 4.688 (4.634)	Prec@5 17.188 (16.052)
Epoch: [20][1890/7045]	Time 0.304 (0.272)	Data 0.252 (0.207)	Loss 5.0480 (5.0138)	Prec@1 5.859 (4.634)	Prec@5 16.797 (16.047)
Epoch: [20][1900/7045]	Time 0.101 (0.273)	Data 0.017 (0.208)	Loss 5.0412 (5.0141)	Prec@1 3.125 (4.628)	Prec@5 13.672 (16.041)
Epoch: [20][1910/7045]	Time 0.105 (0.273)	Data 0.052 (0.208)	Loss 4.9702 (5.0138)	Prec@1 4.297 (4.632)	Prec@5 18.750 (16.047)
Epoch: [20][1920/7045]	Time 0.111 (0.273)	Data 0.001 (0.208)	Loss 4.9713 (5.0137)	Prec@1 4.297 (4.635)	Prec@5 14.844 (16.046)
Epoch: [20][1930/7045]	Time 0.103 (0.273)	Data 0.001 (0.208)	Loss 4.9967 (5.0134)	Prec@1 4.297 (4.635)	Prec@5 16.406 (16.051)
Epoch: [20][1940/7045]	Time 0.110 (0.273)	Data 0.001 (0.208)	Loss 4.9346 (5.0134)	Prec@1 5.859 (4.635)	Prec@5 18.750 (16.051)
Epoch: [20][1950/7045]	Time 0.102 (0.273)	Data 0.001 (0.207)	Loss 4.9280 (5.0132)	Prec@1 5.859 (4.637)	Prec@5 16.016 (16.051)
Epoch: [20][1960/7045]	Time 0.624 (0.273)	Data 0.572 (0.207)	Loss 5.0899 (5.0128)	Prec@1 1.953 (4.639)	Prec@5 12.891 (16.054)
Epoch: [20][1970/7045]	Time 0.102 (0.272)	Data 0.049 (0.207)	Loss 4.9425 (5.0126)	Prec@1 6.250 (4.642)	Prec@5 14.453 (16.050)
Epoch: [20][1980/7045]	Time 0.556 (0.273)	Data 0.505 (0.208)	Loss 5.0564 (5.0126)	Prec@1 3.125 (4.641)	Prec@5 15.234 (16.049)
Epoch: [20][1990/7045]	Time 0.399 (0.273)	Data 0.347 (0.208)	Loss 4.9809 (5.0126)	Prec@1 7.422 (4.640)	Prec@5 21.484 (16.052)
Epoch: [20][2000/7045]	Time 0.236 (0.273)	Data 0.185 (0.208)	Loss 4.9657 (5.0126)	Prec@1 5.469 (4.640)	Prec@5 13.672 (16.047)
Epoch: [20][2010/7045]	Time 0.631 (0.273)	Data 0.578 (0.208)	Loss 4.9314 (5.0124)	Prec@1 5.469 (4.642)	Prec@5 18.750 (16.052)
Epoch: [20][2020/7045]	Time 0.099 (0.273)	Data 0.001 (0.208)	Loss 4.9246 (5.0123)	Prec@1 8.594 (4.648)	Prec@5 16.797 (16.053)
Epoch: [20][2030/7045]	Time 0.101 (0.273)	Data 0.001 (0.208)	Loss 5.0288 (5.0123)	Prec@1 4.297 (4.646)	Prec@5 14.844 (16.049)
Epoch: [20][2040/7045]	Time 0.103 (0.273)	Data 0.003 (0.208)	Loss 5.0491 (5.0122)	Prec@1 7.031 (4.649)	Prec@5 16.016 (16.053)
Epoch: [20][2050/7045]	Time 0.102 (0.273)	Data 0.001 (0.208)	Loss 5.0428 (5.0123)	Prec@1 4.297 (4.648)	Prec@5 16.406 (16.053)
Epoch: [20][2060/7045]	Time 0.179 (0.273)	Data 0.128 (0.208)	Loss 4.9565 (5.0123)	Prec@1 3.125 (4.646)	Prec@5 17.969 (16.052)
Epoch: [20][2070/7045]	Time 0.122 (0.273)	Data 0.070 (0.207)	Loss 4.8842 (5.0119)	Prec@1 2.734 (4.647)	Prec@5 16.797 (16.057)
Epoch: [20][2080/7045]	Time 0.461 (0.273)	Data 0.409 (0.208)	Loss 4.9910 (5.0118)	Prec@1 3.906 (4.651)	Prec@5 18.359 (16.061)
Epoch: [20][2090/7045]	Time 0.109 (0.273)	Data 0.043 (0.207)	Loss 5.0860 (5.0119)	Prec@1 3.906 (4.652)	Prec@5 15.625 (16.058)
Epoch: [20][2100/7045]	Time 0.621 (0.273)	Data 0.569 (0.207)	Loss 4.9960 (5.0121)	Prec@1 5.469 (4.652)	Prec@5 15.625 (16.054)
Epoch: [20][2110/7045]	Time 0.399 (0.273)	Data 0.347 (0.207)	Loss 4.9793 (5.0125)	Prec@1 5.469 (4.648)	Prec@5 17.578 (16.047)
Epoch: [20][2120/7045]	Time 0.309 (0.273)	Data 0.258 (0.208)	Loss 5.0076 (5.0126)	Prec@1 8.594 (4.650)	Prec@5 19.531 (16.053)
Epoch: [20][2130/7045]	Time 0.417 (0.273)	Data 0.366 (0.208)	Loss 5.0906 (5.0128)	Prec@1 4.297 (4.648)	Prec@5 12.891 (16.042)
Epoch: [20][2140/7045]	Time 0.103 (0.273)	Data 0.013 (0.208)	Loss 5.2622 (5.0130)	Prec@1 4.297 (4.646)	Prec@5 10.156 (16.041)
Epoch: [20][2150/7045]	Time 0.553 (0.273)	Data 0.500 (0.208)	Loss 5.2239 (5.0131)	Prec@1 2.734 (4.644)	Prec@5 15.234 (16.039)
Epoch: [20][2160/7045]	Time 0.219 (0.273)	Data 0.168 (0.208)	Loss 4.9459 (5.0130)	Prec@1 7.812 (4.644)	Prec@5 18.359 (16.040)
Epoch: [20][2170/7045]	Time 0.105 (0.273)	Data 0.053 (0.208)	Loss 5.0542 (5.0134)	Prec@1 3.516 (4.639)	Prec@5 12.891 (16.027)
Epoch: [20][2180/7045]	Time 0.497 (0.273)	Data 0.445 (0.208)	Loss 5.0497 (5.0136)	Prec@1 5.859 (4.636)	Prec@5 15.234 (16.022)
Epoch: [20][2190/7045]	Time 0.197 (0.272)	Data 0.147 (0.207)	Loss 5.0280 (5.0136)	Prec@1 3.906 (4.637)	Prec@5 13.281 (16.023)
Epoch: [20][2200/7045]	Time 0.248 (0.273)	Data 0.195 (0.208)	Loss 5.1104 (5.0137)	Prec@1 2.734 (4.635)	Prec@5 14.844 (16.019)
Epoch: [20][2210/7045]	Time 0.324 (0.273)	Data 0.273 (0.208)	Loss 5.0353 (5.0138)	Prec@1 3.906 (4.637)	Prec@5 14.453 (16.018)
Epoch: [20][2220/7045]	Time 0.101 (0.273)	Data 0.001 (0.208)	Loss 4.9274 (5.0136)	Prec@1 5.078 (4.639)	Prec@5 21.484 (16.024)
Epoch: [20][2230/7045]	Time 0.101 (0.273)	Data 0.001 (0.208)	Loss 5.0734 (5.0136)	Prec@1 6.641 (4.641)	Prec@5 16.406 (16.027)
Epoch: [20][2240/7045]	Time 0.173 (0.273)	Data 0.121 (0.208)	Loss 4.9949 (5.0136)	Prec@1 4.297 (4.640)	Prec@5 16.016 (16.027)
Epoch: [20][2250/7045]	Time 0.298 (0.273)	Data 0.246 (0.208)	Loss 4.9554 (5.0135)	Prec@1 4.688 (4.638)	Prec@5 19.141 (16.030)
Epoch: [20][2260/7045]	Time 0.291 (0.273)	Data 0.240 (0.208)	Loss 4.9843 (5.0135)	Prec@1 3.125 (4.638)	Prec@5 15.234 (16.029)
Epoch: [20][2270/7045]	Time 0.577 (0.273)	Data 0.527 (0.208)	Loss 5.0944 (5.0139)	Prec@1 3.906 (4.634)	Prec@5 13.281 (16.020)
Epoch: [20][2280/7045]	Time 0.109 (0.273)	Data 0.001 (0.208)	Loss 5.0735 (5.0141)	Prec@1 5.859 (4.635)	Prec@5 17.188 (16.016)
Epoch: [20][2290/7045]	Time 0.396 (0.273)	Data 0.343 (0.208)	Loss 5.1499 (5.0143)	Prec@1 3.125 (4.634)	Prec@5 11.719 (16.014)
Epoch: [20][2300/7045]	Time 0.236 (0.273)	Data 0.185 (0.208)	Loss 5.1080 (5.0142)	Prec@1 2.734 (4.631)	Prec@5 14.453 (16.013)
Epoch: [20][2310/7045]	Time 0.101 (0.273)	Data 0.015 (0.208)	Loss 5.1098 (5.0144)	Prec@1 3.125 (4.631)	Prec@5 14.453 (16.012)
Epoch: [20][2320/7045]	Time 0.174 (0.273)	Data 0.124 (0.208)	Loss 4.9439 (5.0144)	Prec@1 4.297 (4.628)	Prec@5 17.578 (16.008)
Epoch: [20][2330/7045]	Time 0.146 (0.272)	Data 0.094 (0.207)	Loss 5.0301 (5.0144)	Prec@1 3.906 (4.628)	Prec@5 14.453 (16.008)
Epoch: [20][2340/7045]	Time 0.111 (0.273)	Data 0.058 (0.208)	Loss 4.9194 (5.0143)	Prec@1 6.250 (4.630)	Prec@5 19.531 (16.007)
Epoch: [20][2350/7045]	Time 0.572 (0.273)	Data 0.521 (0.208)	Loss 5.0677 (5.0147)	Prec@1 3.125 (4.626)	Prec@5 15.234 (15.999)
Epoch: [20][2360/7045]	Time 0.274 (0.273)	Data 0.215 (0.208)	Loss 4.9907 (5.0145)	Prec@1 6.641 (4.629)	Prec@5 17.188 (16.001)
Epoch: [20][2370/7045]	Time 0.138 (0.273)	Data 0.087 (0.208)	Loss 5.0983 (5.0147)	Prec@1 5.859 (4.630)	Prec@5 16.406 (16.001)
Epoch: [20][2380/7045]	Time 0.362 (0.273)	Data 0.302 (0.208)	Loss 5.0239 (5.0147)	Prec@1 3.516 (4.630)	Prec@5 14.453 (15.999)
Epoch: [20][2390/7045]	Time 0.152 (0.273)	Data 0.099 (0.208)	Loss 4.9216 (5.0146)	Prec@1 5.078 (4.629)	Prec@5 14.062 (15.996)
Epoch: [20][2400/7045]	Time 0.101 (0.273)	Data 0.001 (0.208)	Loss 5.1057 (5.0147)	Prec@1 3.906 (4.631)	Prec@5 13.672 (15.999)
Epoch: [20][2410/7045]	Time 0.301 (0.273)	Data 0.249 (0.208)	Loss 4.9705 (5.0147)	Prec@1 3.125 (4.630)	Prec@5 16.016 (15.999)
Epoch: [20][2420/7045]	Time 0.102 (0.272)	Data 0.001 (0.208)	Loss 5.1248 (5.0150)	Prec@1 5.469 (4.628)	Prec@5 13.281 (15.990)
Epoch: [20][2430/7045]	Time 0.114 (0.272)	Data 0.063 (0.207)	Loss 5.0487 (5.0150)	Prec@1 4.688 (4.628)	Prec@5 15.625 (15.986)
Epoch: [20][2440/7045]	Time 0.484 (0.272)	Data 0.432 (0.208)	Loss 4.9628 (5.0148)	Prec@1 3.516 (4.631)	Prec@5 13.672 (15.990)
Epoch: [20][2450/7045]	Time 0.195 (0.272)	Data 0.145 (0.207)	Loss 4.9579 (5.0145)	Prec@1 5.078 (4.633)	Prec@5 16.016 (15.992)
Epoch: [20][2460/7045]	Time 0.197 (0.272)	Data 0.146 (0.207)	Loss 5.1202 (5.0143)	Prec@1 3.125 (4.635)	Prec@5 14.453 (15.994)
Epoch: [20][2470/7045]	Time 0.103 (0.273)	Data 0.001 (0.208)	Loss 5.0042 (5.0143)	Prec@1 5.078 (4.634)	Prec@5 16.406 (15.997)
Epoch: [20][2480/7045]	Time 0.116 (0.273)	Data 0.058 (0.208)	Loss 5.1718 (5.0144)	Prec@1 3.906 (4.632)	Prec@5 13.281 (15.990)
Epoch: [20][2490/7045]	Time 0.165 (0.273)	Data 0.114 (0.208)	Loss 4.9884 (5.0146)	Prec@1 5.078 (4.633)	Prec@5 16.797 (15.990)
Epoch: [20][2500/7045]	Time 0.538 (0.273)	Data 0.487 (0.208)	Loss 5.1206 (5.0148)	Prec@1 4.297 (4.631)	Prec@5 15.234 (15.983)
Epoch: [20][2510/7045]	Time 0.101 (0.273)	Data 0.001 (0.208)	Loss 5.1133 (5.0148)	Prec@1 4.688 (4.631)	Prec@5 15.625 (15.984)
Epoch: [20][2520/7045]	Time 0.442 (0.273)	Data 0.390 (0.208)	Loss 4.7415 (5.0146)	Prec@1 7.812 (4.634)	Prec@5 20.312 (15.986)
Epoch: [20][2530/7045]	Time 0.101 (0.273)	Data 0.007 (0.208)	Loss 5.0322 (5.0145)	Prec@1 4.688 (4.636)	Prec@5 16.797 (15.987)
Epoch: [20][2540/7045]	Time 0.226 (0.273)	Data 0.174 (0.208)	Loss 5.0885 (5.0142)	Prec@1 4.297 (4.638)	Prec@5 16.016 (15.987)
Epoch: [20][2550/7045]	Time 0.409 (0.273)	Data 0.355 (0.208)	Loss 5.0940 (5.0141)	Prec@1 4.688 (4.640)	Prec@5 16.016 (15.991)
Epoch: [20][2560/7045]	Time 0.253 (0.272)	Data 0.202 (0.208)	Loss 5.0095 (5.0141)	Prec@1 3.906 (4.638)	Prec@5 12.109 (15.989)
Epoch: [20][2570/7045]	Time 0.322 (0.272)	Data 0.271 (0.208)	Loss 4.9648 (5.0140)	Prec@1 8.984 (4.639)	Prec@5 17.578 (15.989)
Epoch: [20][2580/7045]	Time 0.353 (0.272)	Data 0.302 (0.208)	Loss 4.9417 (5.0140)	Prec@1 5.078 (4.641)	Prec@5 18.750 (15.993)
Epoch: [20][2590/7045]	Time 0.113 (0.272)	Data 0.061 (0.208)	Loss 5.1666 (5.0140)	Prec@1 4.688 (4.641)	Prec@5 12.500 (15.989)
Epoch: [20][2600/7045]	Time 0.101 (0.272)	Data 0.001 (0.208)	Loss 5.0582 (5.0143)	Prec@1 3.516 (4.643)	Prec@5 16.016 (15.990)
Epoch: [20][2610/7045]	Time 0.101 (0.272)	Data 0.001 (0.207)	Loss 5.0027 (5.0144)	Prec@1 3.906 (4.642)	Prec@5 15.234 (15.988)
Epoch: [20][2620/7045]	Time 0.128 (0.272)	Data 0.077 (0.207)	Loss 4.9946 (5.0144)	Prec@1 5.469 (4.641)	Prec@5 19.531 (15.992)
Epoch: [20][2630/7045]	Time 0.102 (0.272)	Data 0.001 (0.207)	Loss 4.9921 (5.0145)	Prec@1 3.906 (4.640)	Prec@5 17.188 (15.991)
Epoch: [20][2640/7045]	Time 0.154 (0.272)	Data 0.093 (0.207)	Loss 5.0223 (5.0147)	Prec@1 6.641 (4.643)	Prec@5 15.625 (15.985)
Epoch: [20][2650/7045]	Time 0.101 (0.272)	Data 0.001 (0.207)	Loss 4.9547 (5.0148)	Prec@1 1.953 (4.641)	Prec@5 14.844 (15.985)
Epoch: [20][2660/7045]	Time 0.130 (0.272)	Data 0.072 (0.207)	Loss 5.0725 (5.0149)	Prec@1 4.688 (4.642)	Prec@5 15.234 (15.981)
Epoch: [20][2670/7045]	Time 0.111 (0.272)	Data 0.059 (0.207)	Loss 5.0166 (5.0149)	Prec@1 4.688 (4.642)	Prec@5 15.234 (15.979)
Epoch: [20][2680/7045]	Time 0.666 (0.272)	Data 0.616 (0.207)	Loss 4.9907 (5.0147)	Prec@1 3.906 (4.643)	Prec@5 15.234 (15.984)
Epoch: [20][2690/7045]	Time 0.095 (0.272)	Data 0.001 (0.207)	Loss 4.8138 (5.0147)	Prec@1 6.250 (4.644)	Prec@5 17.969 (15.982)
Epoch: [20][2700/7045]	Time 0.600 (0.272)	Data 0.538 (0.207)	Loss 5.0405 (5.0146)	Prec@1 2.734 (4.643)	Prec@5 14.062 (15.982)
Epoch: [20][2710/7045]	Time 0.101 (0.271)	Data 0.001 (0.207)	Loss 5.0579 (5.0146)	Prec@1 5.078 (4.643)	Prec@5 15.234 (15.983)
Epoch: [20][2720/7045]	Time 0.480 (0.271)	Data 0.428 (0.207)	Loss 5.0097 (5.0148)	Prec@1 5.469 (4.641)	Prec@5 14.844 (15.978)
Epoch: [20][2730/7045]	Time 0.239 (0.271)	Data 0.188 (0.207)	Loss 4.9605 (5.0150)	Prec@1 4.297 (4.642)	Prec@5 14.453 (15.974)
Epoch: [20][2740/7045]	Time 0.100 (0.271)	Data 0.001 (0.206)	Loss 5.1223 (5.0153)	Prec@1 3.906 (4.639)	Prec@5 15.625 (15.969)
Epoch: [20][2750/7045]	Time 0.101 (0.271)	Data 0.015 (0.207)	Loss 5.0965 (5.0153)	Prec@1 3.125 (4.637)	Prec@5 15.625 (15.966)
Epoch: [20][2760/7045]	Time 0.473 (0.271)	Data 0.420 (0.206)	Loss 5.0390 (5.0155)	Prec@1 4.297 (4.636)	Prec@5 20.312 (15.961)
Epoch: [20][2770/7045]	Time 0.101 (0.271)	Data 0.001 (0.206)	Loss 5.0647 (5.0156)	Prec@1 5.469 (4.636)	Prec@5 14.062 (15.956)
Epoch: [20][2780/7045]	Time 0.250 (0.271)	Data 0.188 (0.206)	Loss 5.1329 (5.0157)	Prec@1 5.078 (4.636)	Prec@5 13.672 (15.955)
Epoch: [20][2790/7045]	Time 0.354 (0.271)	Data 0.303 (0.206)	Loss 5.0359 (5.0158)	Prec@1 4.297 (4.635)	Prec@5 15.234 (15.955)
Epoch: [20][2800/7045]	Time 0.142 (0.271)	Data 0.091 (0.206)	Loss 4.9180 (5.0158)	Prec@1 7.812 (4.638)	Prec@5 18.359 (15.958)
Epoch: [20][2810/7045]	Time 0.355 (0.271)	Data 0.303 (0.206)	Loss 4.8437 (5.0156)	Prec@1 7.031 (4.638)	Prec@5 21.094 (15.960)
Epoch: [20][2820/7045]	Time 0.303 (0.271)	Data 0.251 (0.206)	Loss 4.8467 (5.0155)	Prec@1 2.734 (4.639)	Prec@5 19.922 (15.961)
Epoch: [20][2830/7045]	Time 0.184 (0.271)	Data 0.132 (0.206)	Loss 5.0708 (5.0153)	Prec@1 4.688 (4.640)	Prec@5 13.281 (15.962)
Epoch: [20][2840/7045]	Time 0.353 (0.271)	Data 0.302 (0.206)	Loss 5.0263 (5.0152)	Prec@1 4.297 (4.643)	Prec@5 19.531 (15.966)
Epoch: [20][2850/7045]	Time 0.616 (0.271)	Data 0.563 (0.206)	Loss 5.0929 (5.0149)	Prec@1 3.516 (4.647)	Prec@5 15.234 (15.972)
Epoch: [20][2860/7045]	Time 0.244 (0.271)	Data 0.192 (0.206)	Loss 5.1018 (5.0152)	Prec@1 1.953 (4.643)	Prec@5 13.672 (15.968)
Epoch: [20][2870/7045]	Time 0.364 (0.271)	Data 0.305 (0.206)	Loss 4.9270 (5.0154)	Prec@1 4.297 (4.642)	Prec@5 17.578 (15.967)
Epoch: [20][2880/7045]	Time 0.658 (0.271)	Data 0.607 (0.206)	Loss 4.9639 (5.0153)	Prec@1 6.250 (4.645)	Prec@5 18.359 (15.968)
Epoch: [20][2890/7045]	Time 0.100 (0.271)	Data 0.002 (0.206)	Loss 5.0398 (5.0152)	Prec@1 7.031 (4.647)	Prec@5 16.797 (15.971)
Epoch: [20][2900/7045]	Time 0.944 (0.271)	Data 0.892 (0.206)	Loss 4.9948 (5.0151)	Prec@1 5.469 (4.647)	Prec@5 14.453 (15.976)
Epoch: [20][2910/7045]	Time 0.101 (0.271)	Data 0.007 (0.206)	Loss 5.0426 (5.0151)	Prec@1 3.906 (4.649)	Prec@5 13.672 (15.976)
Epoch: [20][2920/7045]	Time 0.329 (0.271)	Data 0.276 (0.206)	Loss 5.0650 (5.0151)	Prec@1 3.906 (4.650)	Prec@5 13.672 (15.979)
Epoch: [20][2930/7045]	Time 0.379 (0.271)	Data 0.327 (0.206)	Loss 5.1753 (5.0150)	Prec@1 3.516 (4.650)	Prec@5 12.500 (15.982)
Epoch: [20][2940/7045]	Time 0.103 (0.271)	Data 0.051 (0.206)	Loss 5.0055 (5.0148)	Prec@1 3.516 (4.650)	Prec@5 12.109 (15.985)
Epoch: [20][2950/7045]	Time 0.120 (0.271)	Data 0.068 (0.206)	Loss 5.0628 (5.0148)	Prec@1 4.297 (4.649)	Prec@5 12.891 (15.988)
Epoch: [20][2960/7045]	Time 0.633 (0.271)	Data 0.581 (0.206)	Loss 5.1118 (5.0148)	Prec@1 3.516 (4.651)	Prec@5 16.016 (15.989)
Epoch: [20][2970/7045]	Time 0.111 (0.271)	Data 0.001 (0.206)	Loss 5.0313 (5.0148)	Prec@1 3.906 (4.651)	Prec@5 17.188 (15.989)
Epoch: [20][2980/7045]	Time 0.499 (0.271)	Data 0.443 (0.206)	Loss 4.8148 (5.0147)	Prec@1 5.078 (4.649)	Prec@5 20.312 (15.991)
Epoch: [20][2990/7045]	Time 0.510 (0.271)	Data 0.460 (0.206)	Loss 5.2417 (5.0146)	Prec@1 4.297 (4.651)	Prec@5 14.453 (15.991)
Epoch: [20][3000/7045]	Time 0.101 (0.271)	Data 0.042 (0.206)	Loss 4.9673 (5.0147)	Prec@1 3.516 (4.651)	Prec@5 15.625 (15.990)
Epoch: [20][3010/7045]	Time 0.102 (0.272)	Data 0.017 (0.207)	Loss 4.7499 (5.0148)	Prec@1 8.203 (4.650)	Prec@5 21.484 (15.986)
Epoch: [20][3020/7045]	Time 0.103 (0.271)	Data 0.001 (0.207)	Loss 4.9050 (5.0147)	Prec@1 5.859 (4.649)	Prec@5 18.750 (15.987)
Epoch: [20][3030/7045]	Time 0.287 (0.272)	Data 0.231 (0.207)	Loss 5.1436 (5.0145)	Prec@1 4.297 (4.650)	Prec@5 17.969 (15.993)
Epoch: [20][3040/7045]	Time 0.101 (0.271)	Data 0.001 (0.207)	Loss 4.9619 (5.0145)	Prec@1 6.250 (4.651)	Prec@5 19.141 (15.992)
Epoch: [20][3050/7045]	Time 0.375 (0.271)	Data 0.324 (0.207)	Loss 5.0414 (5.0148)	Prec@1 5.078 (4.649)	Prec@5 17.969 (15.989)
Epoch: [20][3060/7045]	Time 0.103 (0.272)	Data 0.001 (0.207)	Loss 5.1791 (5.0153)	Prec@1 3.125 (4.646)	Prec@5 14.844 (15.983)
Epoch: [20][3070/7045]	Time 0.420 (0.271)	Data 0.369 (0.207)	Loss 5.0653 (5.0155)	Prec@1 4.688 (4.645)	Prec@5 15.234 (15.980)
Epoch: [20][3080/7045]	Time 0.124 (0.272)	Data 0.065 (0.207)	Loss 4.9149 (5.0153)	Prec@1 6.250 (4.647)	Prec@5 18.750 (15.985)
Epoch: [20][3090/7045]	Time 0.247 (0.272)	Data 0.196 (0.207)	Loss 5.0384 (5.0155)	Prec@1 4.297 (4.646)	Prec@5 15.625 (15.982)
Epoch: [20][3100/7045]	Time 0.542 (0.272)	Data 0.491 (0.207)	Loss 5.0788 (5.0155)	Prec@1 3.125 (4.646)	Prec@5 14.062 (15.981)
Epoch: [20][3110/7045]	Time 0.111 (0.272)	Data 0.060 (0.207)	Loss 5.0073 (5.0155)	Prec@1 3.125 (4.646)	Prec@5 14.453 (15.981)
Epoch: [20][3120/7045]	Time 0.569 (0.272)	Data 0.509 (0.207)	Loss 4.9949 (5.0154)	Prec@1 5.859 (4.647)	Prec@5 15.234 (15.981)
Epoch: [20][3130/7045]	Time 0.124 (0.272)	Data 0.072 (0.207)	Loss 4.8957 (5.0152)	Prec@1 6.250 (4.648)	Prec@5 18.750 (15.983)
Epoch: [20][3140/7045]	Time 0.712 (0.272)	Data 0.660 (0.207)	Loss 5.0397 (5.0152)	Prec@1 4.297 (4.646)	Prec@5 18.359 (15.983)
Epoch: [20][3150/7045]	Time 0.179 (0.273)	Data 0.128 (0.208)	Loss 4.9996 (5.0152)	Prec@1 3.516 (4.648)	Prec@5 15.625 (15.985)
Epoch: [20][3160/7045]	Time 0.535 (0.273)	Data 0.473 (0.208)	Loss 5.0174 (5.0152)	Prec@1 6.641 (4.648)	Prec@5 15.625 (15.984)
Epoch: [20][3170/7045]	Time 0.102 (0.273)	Data 0.020 (0.208)	Loss 4.9021 (5.0152)	Prec@1 5.469 (4.648)	Prec@5 20.312 (15.984)
Epoch: [20][3180/7045]	Time 0.352 (0.273)	Data 0.300 (0.208)	Loss 4.9752 (5.0151)	Prec@1 3.125 (4.649)	Prec@5 14.062 (15.987)
Epoch: [20][3190/7045]	Time 0.126 (0.273)	Data 0.075 (0.208)	Loss 5.0361 (5.0150)	Prec@1 4.688 (4.651)	Prec@5 15.625 (15.987)
Epoch: [20][3200/7045]	Time 0.285 (0.273)	Data 0.234 (0.208)	Loss 5.1635 (5.0151)	Prec@1 1.953 (4.650)	Prec@5 13.672 (15.985)
Epoch: [20][3210/7045]	Time 0.117 (0.273)	Data 0.065 (0.208)	Loss 5.0765 (5.0153)	Prec@1 2.734 (4.647)	Prec@5 11.719 (15.982)
Epoch: [20][3220/7045]	Time 0.657 (0.273)	Data 0.606 (0.208)	Loss 5.0845 (5.0154)	Prec@1 3.125 (4.648)	Prec@5 11.328 (15.980)
Epoch: [20][3230/7045]	Time 0.112 (0.273)	Data 0.001 (0.208)	Loss 4.9440 (5.0155)	Prec@1 2.344 (4.647)	Prec@5 17.188 (15.980)
Epoch: [20][3240/7045]	Time 0.664 (0.273)	Data 0.613 (0.208)	Loss 5.0204 (5.0154)	Prec@1 3.906 (4.647)	Prec@5 14.062 (15.979)
Epoch: [20][3250/7045]	Time 0.399 (0.273)	Data 0.347 (0.208)	Loss 4.9250 (5.0154)	Prec@1 4.688 (4.646)	Prec@5 16.406 (15.980)
Epoch: [20][3260/7045]	Time 0.112 (0.273)	Data 0.060 (0.208)	Loss 4.8821 (5.0151)	Prec@1 5.859 (4.648)	Prec@5 19.141 (15.984)
Epoch: [20][3270/7045]	Time 0.582 (0.273)	Data 0.523 (0.208)	Loss 5.0458 (5.0150)	Prec@1 5.859 (4.647)	Prec@5 18.750 (15.985)
Epoch: [20][3280/7045]	Time 0.328 (0.273)	Data 0.276 (0.208)	Loss 5.1720 (5.0150)	Prec@1 6.641 (4.647)	Prec@5 15.625 (15.981)
Epoch: [20][3290/7045]	Time 0.103 (0.273)	Data 0.001 (0.208)	Loss 4.9436 (5.0150)	Prec@1 4.297 (4.648)	Prec@5 19.141 (15.981)
Epoch: [20][3300/7045]	Time 0.222 (0.273)	Data 0.171 (0.208)	Loss 5.0778 (5.0151)	Prec@1 4.688 (4.647)	Prec@5 13.672 (15.978)
Epoch: [20][3310/7045]	Time 0.367 (0.273)	Data 0.315 (0.208)	Loss 5.0504 (5.0150)	Prec@1 4.297 (4.649)	Prec@5 13.672 (15.981)
Epoch: [20][3320/7045]	Time 0.102 (0.273)	Data 0.001 (0.208)	Loss 4.9389 (5.0150)	Prec@1 4.297 (4.650)	Prec@5 17.188 (15.979)
Epoch: [20][3330/7045]	Time 0.099 (0.273)	Data 0.047 (0.208)	Loss 5.1559 (5.0150)	Prec@1 4.297 (4.650)	Prec@5 17.188 (15.979)
Epoch: [20][3340/7045]	Time 0.181 (0.273)	Data 0.129 (0.208)	Loss 4.9304 (5.0148)	Prec@1 5.469 (4.653)	Prec@5 16.016 (15.984)
Epoch: [20][3350/7045]	Time 0.101 (0.273)	Data 0.001 (0.208)	Loss 5.0610 (5.0148)	Prec@1 3.516 (4.655)	Prec@5 12.500 (15.985)
Epoch: [20][3360/7045]	Time 0.105 (0.273)	Data 0.001 (0.208)	Loss 4.9932 (5.0146)	Prec@1 4.688 (4.656)	Prec@5 14.453 (15.987)
Epoch: [20][3370/7045]	Time 0.102 (0.273)	Data 0.049 (0.208)	Loss 4.9978 (5.0145)	Prec@1 4.297 (4.661)	Prec@5 15.234 (15.990)
Epoch: [20][3380/7045]	Time 0.497 (0.273)	Data 0.445 (0.208)	Loss 4.9672 (5.0144)	Prec@1 4.688 (4.661)	Prec@5 17.188 (15.993)
Epoch: [20][3390/7045]	Time 0.206 (0.273)	Data 0.154 (0.208)	Loss 4.9900 (5.0144)	Prec@1 5.469 (4.660)	Prec@5 19.922 (15.996)
Epoch: [20][3400/7045]	Time 0.926 (0.273)	Data 0.875 (0.208)	Loss 4.8955 (5.0143)	Prec@1 5.859 (4.661)	Prec@5 20.312 (16.000)
Epoch: [20][3410/7045]	Time 2.284 (0.273)	Data 2.223 (0.209)	Loss 4.9640 (5.0142)	Prec@1 5.859 (4.662)	Prec@5 21.484 (16.004)
Epoch: [20][3420/7045]	Time 0.190 (0.273)	Data 0.134 (0.209)	Loss 5.0831 (5.0141)	Prec@1 4.688 (4.662)	Prec@5 14.453 (16.006)
Epoch: [20][3430/7045]	Time 0.602 (0.273)	Data 0.550 (0.209)	Loss 5.0766 (5.0140)	Prec@1 8.203 (4.666)	Prec@5 18.359 (16.012)
Epoch: [20][3440/7045]	Time 0.102 (0.273)	Data 0.013 (0.208)	Loss 5.0972 (5.0139)	Prec@1 2.344 (4.667)	Prec@5 14.453 (16.013)
Epoch: [20][3450/7045]	Time 0.685 (0.273)	Data 0.634 (0.208)	Loss 4.8419 (5.0137)	Prec@1 5.469 (4.668)	Prec@5 21.094 (16.019)
Epoch: [20][3460/7045]	Time 0.101 (0.273)	Data 0.001 (0.208)	Loss 4.9667 (5.0137)	Prec@1 3.125 (4.667)	Prec@5 15.625 (16.019)
Epoch: [20][3470/7045]	Time 0.736 (0.273)	Data 0.684 (0.208)	Loss 4.9519 (5.0137)	Prec@1 3.125 (4.668)	Prec@5 16.016 (16.019)
Epoch: [20][3480/7045]	Time 0.270 (0.274)	Data 0.219 (0.209)	Loss 4.9750 (5.0136)	Prec@1 6.641 (4.666)	Prec@5 17.578 (16.020)
Epoch: [20][3490/7045]	Time 0.221 (0.274)	Data 0.170 (0.209)	Loss 4.9848 (5.0135)	Prec@1 4.297 (4.666)	Prec@5 15.625 (16.017)
Epoch: [20][3500/7045]	Time 0.685 (0.274)	Data 0.633 (0.209)	Loss 5.0521 (5.0134)	Prec@1 2.734 (4.666)	Prec@5 15.625 (16.019)
Epoch: [20][3510/7045]	Time 0.100 (0.274)	Data 0.001 (0.209)	Loss 4.9616 (5.0133)	Prec@1 3.516 (4.665)	Prec@5 20.312 (16.020)
Epoch: [20][3520/7045]	Time 0.785 (0.274)	Data 0.728 (0.209)	Loss 5.1519 (5.0134)	Prec@1 3.516 (4.665)	Prec@5 11.719 (16.016)
Epoch: [20][3530/7045]	Time 0.477 (0.274)	Data 0.426 (0.209)	Loss 5.0899 (5.0136)	Prec@1 3.906 (4.662)	Prec@5 15.234 (16.012)
Epoch: [20][3540/7045]	Time 0.103 (0.273)	Data 0.049 (0.209)	Loss 5.1581 (5.0137)	Prec@1 3.906 (4.662)	Prec@5 12.891 (16.013)
Epoch: [20][3550/7045]	Time 0.514 (0.274)	Data 0.462 (0.209)	Loss 5.0156 (5.0139)	Prec@1 4.688 (4.659)	Prec@5 16.016 (16.007)
Epoch: [20][3560/7045]	Time 0.301 (0.274)	Data 0.250 (0.209)	Loss 5.0495 (5.0140)	Prec@1 5.469 (4.659)	Prec@5 18.359 (16.006)
Epoch: [20][3570/7045]	Time 0.174 (0.274)	Data 0.120 (0.209)	Loss 5.0670 (5.0140)	Prec@1 4.297 (4.660)	Prec@5 16.406 (16.008)
Epoch: [20][3580/7045]	Time 0.103 (0.274)	Data 0.001 (0.209)	Loss 5.0154 (5.0139)	Prec@1 5.859 (4.661)	Prec@5 13.281 (16.008)
Epoch: [20][3590/7045]	Time 0.102 (0.274)	Data 0.001 (0.209)	Loss 5.0672 (5.0139)	Prec@1 5.859 (4.662)	Prec@5 16.016 (16.012)
Epoch: [20][3600/7045]	Time 0.191 (0.274)	Data 0.140 (0.209)	Loss 4.7685 (5.0137)	Prec@1 5.859 (4.663)	Prec@5 18.750 (16.016)
Epoch: [20][3610/7045]	Time 0.102 (0.274)	Data 0.011 (0.209)	Loss 5.0201 (5.0136)	Prec@1 6.641 (4.664)	Prec@5 17.578 (16.021)
Epoch: [20][3620/7045]	Time 2.215 (0.274)	Data 2.163 (0.209)	Loss 5.0177 (5.0134)	Prec@1 4.688 (4.667)	Prec@5 15.625 (16.025)
Epoch: [20][3630/7045]	Time 0.143 (0.274)	Data 0.086 (0.209)	Loss 5.1066 (5.0134)	Prec@1 4.688 (4.668)	Prec@5 15.625 (16.028)
Epoch: [20][3640/7045]	Time 0.203 (0.274)	Data 0.152 (0.209)	Loss 5.0297 (5.0132)	Prec@1 5.469 (4.668)	Prec@5 17.188 (16.031)
Epoch: [20][3650/7045]	Time 0.376 (0.274)	Data 0.323 (0.209)	Loss 4.8979 (5.0131)	Prec@1 5.859 (4.669)	Prec@5 16.406 (16.031)
Epoch: [20][3660/7045]	Time 0.103 (0.274)	Data 0.001 (0.209)	Loss 4.8306 (5.0129)	Prec@1 6.250 (4.669)	Prec@5 17.188 (16.033)
Epoch: [20][3670/7045]	Time 0.101 (0.274)	Data 0.001 (0.209)	Loss 4.9808 (5.0129)	Prec@1 5.078 (4.668)	Prec@5 17.969 (16.036)
Epoch: [20][3680/7045]	Time 0.212 (0.274)	Data 0.160 (0.209)	Loss 4.9464 (5.0127)	Prec@1 4.688 (4.670)	Prec@5 18.359 (16.038)
Epoch: [20][3690/7045]	Time 0.604 (0.274)	Data 0.552 (0.209)	Loss 4.9801 (5.0126)	Prec@1 5.859 (4.670)	Prec@5 14.844 (16.040)
Epoch: [20][3700/7045]	Time 0.101 (0.274)	Data 0.019 (0.209)	Loss 5.1766 (5.0126)	Prec@1 2.734 (4.669)	Prec@5 12.891 (16.039)
Epoch: [20][3710/7045]	Time 0.762 (0.274)	Data 0.710 (0.209)	Loss 5.2114 (5.0126)	Prec@1 3.906 (4.669)	Prec@5 14.062 (16.039)
Epoch: [20][3720/7045]	Time 0.102 (0.274)	Data 0.001 (0.209)	Loss 5.1018 (5.0125)	Prec@1 3.906 (4.670)	Prec@5 17.578 (16.041)
Epoch: [20][3730/7045]	Time 0.101 (0.274)	Data 0.001 (0.209)	Loss 5.0835 (5.0126)	Prec@1 4.297 (4.671)	Prec@5 13.672 (16.040)
Epoch: [20][3740/7045]	Time 0.417 (0.274)	Data 0.362 (0.209)	Loss 5.0415 (5.0126)	Prec@1 5.859 (4.671)	Prec@5 16.406 (16.039)
Epoch: [20][3750/7045]	Time 0.250 (0.274)	Data 0.199 (0.209)	Loss 5.0191 (5.0124)	Prec@1 6.250 (4.672)	Prec@5 17.969 (16.043)
Epoch: [20][3760/7045]	Time 0.166 (0.274)	Data 0.116 (0.209)	Loss 5.0774 (5.0125)	Prec@1 3.125 (4.673)	Prec@5 16.406 (16.044)
Epoch: [20][3770/7045]	Time 0.265 (0.274)	Data 0.213 (0.210)	Loss 4.9165 (5.0125)	Prec@1 5.469 (4.672)	Prec@5 16.016 (16.040)
Epoch: [20][3780/7045]	Time 0.206 (0.274)	Data 0.155 (0.209)	Loss 5.0462 (5.0126)	Prec@1 5.078 (4.671)	Prec@5 16.016 (16.040)
Epoch: [20][3790/7045]	Time 0.102 (0.274)	Data 0.001 (0.209)	Loss 5.1938 (5.0127)	Prec@1 4.297 (4.671)	Prec@5 14.453 (16.039)
Epoch: [20][3800/7045]	Time 0.119 (0.274)	Data 0.066 (0.209)	Loss 5.1306 (5.0129)	Prec@1 1.953 (4.669)	Prec@5 13.672 (16.036)
Epoch: [20][3810/7045]	Time 0.473 (0.274)	Data 0.422 (0.209)	Loss 5.1402 (5.0130)	Prec@1 2.344 (4.667)	Prec@5 12.891 (16.032)
Epoch: [20][3820/7045]	Time 0.101 (0.274)	Data 0.001 (0.209)	Loss 5.0094 (5.0131)	Prec@1 3.516 (4.666)	Prec@5 16.406 (16.032)
Epoch: [20][3830/7045]	Time 0.314 (0.274)	Data 0.263 (0.209)	Loss 4.9021 (5.0129)	Prec@1 6.250 (4.666)	Prec@5 16.797 (16.035)
Epoch: [20][3840/7045]	Time 0.107 (0.274)	Data 0.055 (0.209)	Loss 5.1861 (5.0130)	Prec@1 3.906 (4.665)	Prec@5 12.891 (16.033)
Epoch: [20][3850/7045]	Time 0.101 (0.274)	Data 0.011 (0.209)	Loss 5.0998 (5.0132)	Prec@1 4.297 (4.664)	Prec@5 15.625 (16.031)
Epoch: [20][3860/7045]	Time 0.237 (0.274)	Data 0.184 (0.209)	Loss 4.9962 (5.0133)	Prec@1 4.688 (4.662)	Prec@5 15.234 (16.025)
Epoch: [20][3870/7045]	Time 0.101 (0.274)	Data 0.048 (0.209)	Loss 5.0400 (5.0134)	Prec@1 7.031 (4.663)	Prec@5 16.406 (16.024)
Epoch: [20][3880/7045]	Time 0.101 (0.274)	Data 0.016 (0.209)	Loss 4.9401 (5.0133)	Prec@1 3.906 (4.663)	Prec@5 14.453 (16.026)
Epoch: [20][3890/7045]	Time 0.591 (0.274)	Data 0.539 (0.210)	Loss 5.1098 (5.0133)	Prec@1 4.297 (4.663)	Prec@5 12.891 (16.025)
Epoch: [20][3900/7045]	Time 0.210 (0.274)	Data 0.158 (0.209)	Loss 4.8853 (5.0133)	Prec@1 5.859 (4.664)	Prec@5 17.969 (16.029)
Epoch: [20][3910/7045]	Time 0.460 (0.274)	Data 0.409 (0.209)	Loss 5.0288 (5.0134)	Prec@1 3.906 (4.665)	Prec@5 18.359 (16.031)
Epoch: [20][3920/7045]	Time 0.248 (0.274)	Data 0.196 (0.209)	Loss 5.0401 (5.0134)	Prec@1 2.344 (4.664)	Prec@5 14.844 (16.031)
Epoch: [20][3930/7045]	Time 0.189 (0.274)	Data 0.137 (0.209)	Loss 5.0369 (5.0134)	Prec@1 2.344 (4.662)	Prec@5 15.234 (16.031)
Epoch: [20][3940/7045]	Time 0.291 (0.274)	Data 0.239 (0.210)	Loss 5.0868 (5.0133)	Prec@1 3.906 (4.663)	Prec@5 14.453 (16.034)
Epoch: [20][3950/7045]	Time 0.216 (0.274)	Data 0.165 (0.210)	Loss 5.0264 (5.0133)	Prec@1 5.469 (4.665)	Prec@5 14.844 (16.033)
Epoch: [20][3960/7045]	Time 0.111 (0.274)	Data 0.058 (0.210)	Loss 4.9051 (5.0133)	Prec@1 7.031 (4.665)	Prec@5 19.531 (16.035)
Epoch: [20][3970/7045]	Time 0.390 (0.274)	Data 0.327 (0.210)	Loss 5.0149 (5.0133)	Prec@1 3.906 (4.664)	Prec@5 13.281 (16.032)
Epoch: [20][3980/7045]	Time 0.155 (0.274)	Data 0.103 (0.209)	Loss 5.0241 (5.0132)	Prec@1 3.125 (4.664)	Prec@5 16.797 (16.035)
Epoch: [20][3990/7045]	Time 0.106 (0.274)	Data 0.001 (0.210)	Loss 4.9856 (5.0131)	Prec@1 3.125 (4.664)	Prec@5 15.234 (16.036)
Epoch: [20][4000/7045]	Time 0.277 (0.274)	Data 0.223 (0.210)	Loss 4.9688 (5.0129)	Prec@1 6.641 (4.666)	Prec@5 19.531 (16.038)
Epoch: [20][4010/7045]	Time 0.348 (0.274)	Data 0.297 (0.210)	Loss 4.9568 (5.0130)	Prec@1 5.078 (4.664)	Prec@5 16.406 (16.036)
Epoch: [20][4020/7045]	Time 0.101 (0.274)	Data 0.001 (0.210)	Loss 5.2228 (5.0130)	Prec@1 4.297 (4.664)	Prec@5 13.281 (16.035)
Epoch: [20][4030/7045]	Time 0.642 (0.274)	Data 0.591 (0.210)	Loss 4.9661 (5.0130)	Prec@1 6.250 (4.664)	Prec@5 19.531 (16.036)
Epoch: [20][4040/7045]	Time 0.119 (0.274)	Data 0.058 (0.209)	Loss 4.9690 (5.0131)	Prec@1 3.906 (4.664)	Prec@5 17.188 (16.036)
Epoch: [20][4050/7045]	Time 0.478 (0.274)	Data 0.425 (0.209)	Loss 5.0052 (5.0130)	Prec@1 3.125 (4.664)	Prec@5 14.062 (16.034)
Epoch: [20][4060/7045]	Time 0.102 (0.274)	Data 0.001 (0.209)	Loss 5.1216 (5.0130)	Prec@1 4.688 (4.664)	Prec@5 14.062 (16.036)
Epoch: [20][4070/7045]	Time 0.617 (0.274)	Data 0.565 (0.210)	Loss 4.9996 (5.0130)	Prec@1 4.688 (4.663)	Prec@5 16.406 (16.036)
Epoch: [20][4080/7045]	Time 0.329 (0.274)	Data 0.276 (0.210)	Loss 4.9593 (5.0130)	Prec@1 3.906 (4.663)	Prec@5 16.016 (16.036)
Epoch: [20][4090/7045]	Time 0.101 (0.274)	Data 0.001 (0.210)	Loss 5.0694 (5.0132)	Prec@1 3.516 (4.662)	Prec@5 16.797 (16.031)
Epoch: [20][4100/7045]	Time 0.453 (0.274)	Data 0.401 (0.210)	Loss 5.0153 (5.0133)	Prec@1 5.078 (4.661)	Prec@5 14.453 (16.026)
Epoch: [20][4110/7045]	Time 0.544 (0.274)	Data 0.492 (0.209)	Loss 5.0139 (5.0132)	Prec@1 5.469 (4.662)	Prec@5 16.016 (16.028)
Epoch: [20][4120/7045]	Time 0.205 (0.274)	Data 0.153 (0.209)	Loss 4.9517 (5.0132)	Prec@1 6.250 (4.661)	Prec@5 16.797 (16.025)
Epoch: [20][4130/7045]	Time 0.627 (0.274)	Data 0.576 (0.209)	Loss 5.0722 (5.0132)	Prec@1 5.469 (4.660)	Prec@5 15.234 (16.025)
Epoch: [20][4140/7045]	Time 0.102 (0.274)	Data 0.001 (0.209)	Loss 4.9265 (5.0132)	Prec@1 5.469 (4.660)	Prec@5 20.312 (16.023)
Epoch: [20][4150/7045]	Time 0.541 (0.274)	Data 0.489 (0.209)	Loss 4.9730 (5.0131)	Prec@1 1.953 (4.659)	Prec@5 14.453 (16.023)
Epoch: [20][4160/7045]	Time 0.102 (0.274)	Data 0.050 (0.210)	Loss 5.0617 (5.0132)	Prec@1 3.125 (4.659)	Prec@5 14.062 (16.021)
Epoch: [20][4170/7045]	Time 0.102 (0.274)	Data 0.043 (0.210)	Loss 4.8617 (5.0132)	Prec@1 5.859 (4.659)	Prec@5 18.750 (16.020)
Epoch: [20][4180/7045]	Time 0.116 (0.274)	Data 0.064 (0.210)	Loss 5.0789 (5.0134)	Prec@1 3.516 (4.658)	Prec@5 12.109 (16.016)
Epoch: [20][4190/7045]	Time 0.218 (0.274)	Data 0.166 (0.210)	Loss 5.0109 (5.0135)	Prec@1 7.812 (4.659)	Prec@5 17.578 (16.013)
Epoch: [20][4200/7045]	Time 0.110 (0.274)	Data 0.008 (0.209)	Loss 5.1103 (5.0136)	Prec@1 3.516 (4.659)	Prec@5 14.062 (16.009)
Epoch: [20][4210/7045]	Time 0.144 (0.274)	Data 0.092 (0.210)	Loss 5.0729 (5.0136)	Prec@1 3.906 (4.660)	Prec@5 15.625 (16.009)
Epoch: [20][4220/7045]	Time 0.212 (0.274)	Data 0.161 (0.210)	Loss 5.0064 (5.0137)	Prec@1 5.859 (4.659)	Prec@5 16.797 (16.008)
Epoch: [20][4230/7045]	Time 0.101 (0.274)	Data 0.001 (0.210)	Loss 4.9849 (5.0135)	Prec@1 7.031 (4.660)	Prec@5 17.578 (16.011)
Epoch: [20][4240/7045]	Time 0.101 (0.274)	Data 0.011 (0.210)	Loss 5.1905 (5.0136)	Prec@1 4.688 (4.659)	Prec@5 12.500 (16.007)
Epoch: [20][4250/7045]	Time 0.137 (0.274)	Data 0.086 (0.209)	Loss 5.0427 (5.0137)	Prec@1 3.906 (4.660)	Prec@5 13.672 (16.008)
Epoch: [20][4260/7045]	Time 0.102 (0.274)	Data 0.001 (0.209)	Loss 4.7952 (5.0137)	Prec@1 5.078 (4.659)	Prec@5 17.188 (16.005)
Epoch: [20][4270/7045]	Time 0.654 (0.274)	Data 0.593 (0.210)	Loss 5.0000 (5.0136)	Prec@1 4.297 (4.661)	Prec@5 17.578 (16.008)
Epoch: [20][4280/7045]	Time 0.189 (0.274)	Data 0.138 (0.210)	Loss 4.8833 (5.0134)	Prec@1 8.594 (4.664)	Prec@5 20.703 (16.013)
Epoch: [20][4290/7045]	Time 0.164 (0.274)	Data 0.112 (0.210)	Loss 4.9944 (5.0133)	Prec@1 5.859 (4.666)	Prec@5 18.750 (16.018)
Epoch: [20][4300/7045]	Time 0.203 (0.274)	Data 0.143 (0.210)	Loss 5.0085 (5.0132)	Prec@1 5.469 (4.666)	Prec@5 14.453 (16.018)
Epoch: [20][4310/7045]	Time 0.103 (0.274)	Data 0.016 (0.209)	Loss 4.8727 (5.0131)	Prec@1 4.688 (4.666)	Prec@5 20.703 (16.021)
Epoch: [20][4320/7045]	Time 0.367 (0.274)	Data 0.314 (0.210)	Loss 5.1305 (5.0132)	Prec@1 6.250 (4.667)	Prec@5 17.578 (16.019)
Epoch: [20][4330/7045]	Time 0.271 (0.274)	Data 0.220 (0.209)	Loss 4.9525 (5.0132)	Prec@1 5.859 (4.667)	Prec@5 19.141 (16.019)
Epoch: [20][4340/7045]	Time 0.106 (0.274)	Data 0.054 (0.210)	Loss 5.0790 (5.0132)	Prec@1 4.688 (4.666)	Prec@5 13.281 (16.018)
Epoch: [20][4350/7045]	Time 0.102 (0.274)	Data 0.001 (0.210)	Loss 5.0420 (5.0133)	Prec@1 4.688 (4.666)	Prec@5 14.453 (16.018)
Epoch: [20][4360/7045]	Time 0.229 (0.274)	Data 0.169 (0.210)	Loss 5.0527 (5.0134)	Prec@1 3.516 (4.665)	Prec@5 14.062 (16.014)
Epoch: [20][4370/7045]	Time 0.292 (0.274)	Data 0.239 (0.210)	Loss 5.0121 (5.0133)	Prec@1 4.297 (4.666)	Prec@5 16.016 (16.016)
Epoch: [20][4380/7045]	Time 0.299 (0.274)	Data 0.246 (0.210)	Loss 4.9989 (5.0134)	Prec@1 6.250 (4.668)	Prec@5 15.625 (16.017)
Epoch: [20][4390/7045]	Time 0.105 (0.274)	Data 0.053 (0.210)	Loss 4.9115 (5.0134)	Prec@1 3.906 (4.667)	Prec@5 16.016 (16.015)
Epoch: [20][4400/7045]	Time 0.386 (0.274)	Data 0.334 (0.210)	Loss 4.8825 (5.0134)	Prec@1 3.125 (4.666)	Prec@5 16.797 (16.015)
Epoch: [20][4410/7045]	Time 0.141 (0.274)	Data 0.089 (0.210)	Loss 5.1507 (5.0134)	Prec@1 2.734 (4.667)	Prec@5 14.844 (16.017)
Epoch: [20][4420/7045]	Time 0.253 (0.274)	Data 0.201 (0.210)	Loss 4.7829 (5.0132)	Prec@1 5.078 (4.666)	Prec@5 19.922 (16.017)
Epoch: [20][4430/7045]	Time 0.101 (0.274)	Data 0.001 (0.210)	Loss 5.1984 (5.0134)	Prec@1 4.297 (4.666)	Prec@5 13.672 (16.016)
Epoch: [20][4440/7045]	Time 0.335 (0.274)	Data 0.283 (0.210)	Loss 4.9365 (5.0134)	Prec@1 4.297 (4.665)	Prec@5 19.141 (16.016)
Epoch: [20][4450/7045]	Time 0.292 (0.274)	Data 0.241 (0.210)	Loss 4.8862 (5.0133)	Prec@1 5.078 (4.665)	Prec@5 18.359 (16.016)
Epoch: [20][4460/7045]	Time 0.263 (0.274)	Data 0.206 (0.210)	Loss 5.0400 (5.0133)	Prec@1 5.469 (4.666)	Prec@5 16.406 (16.015)
Epoch: [20][4470/7045]	Time 0.272 (0.274)	Data 0.220 (0.210)	Loss 4.9259 (5.0132)	Prec@1 5.078 (4.666)	Prec@5 18.359 (16.017)
Epoch: [20][4480/7045]	Time 0.181 (0.275)	Data 0.128 (0.210)	Loss 5.0087 (5.0132)	Prec@1 4.297 (4.666)	Prec@5 15.234 (16.017)
Epoch: [20][4490/7045]	Time 0.102 (0.275)	Data 0.001 (0.210)	Loss 4.9787 (5.0132)	Prec@1 4.297 (4.663)	Prec@5 18.750 (16.017)
Epoch: [20][4500/7045]	Time 0.101 (0.275)	Data 0.001 (0.210)	Loss 4.7999 (5.0129)	Prec@1 6.641 (4.665)	Prec@5 17.969 (16.020)
Epoch: [20][4510/7045]	Time 0.234 (0.274)	Data 0.182 (0.210)	Loss 4.8478 (5.0129)	Prec@1 5.469 (4.665)	Prec@5 17.188 (16.019)
Epoch: [20][4520/7045]	Time 0.458 (0.275)	Data 0.406 (0.210)	Loss 5.0555 (5.0129)	Prec@1 3.516 (4.664)	Prec@5 13.672 (16.018)
Epoch: [20][4530/7045]	Time 0.103 (0.274)	Data 0.001 (0.210)	Loss 4.9225 (5.0128)	Prec@1 5.859 (4.664)	Prec@5 21.484 (16.019)
Epoch: [20][4540/7045]	Time 0.111 (0.274)	Data 0.001 (0.210)	Loss 4.9830 (5.0127)	Prec@1 6.641 (4.665)	Prec@5 13.672 (16.019)
Epoch: [20][4550/7045]	Time 2.308 (0.275)	Data 2.257 (0.210)	Loss 4.9185 (5.0127)	Prec@1 5.078 (4.666)	Prec@5 19.141 (16.021)
Epoch: [20][4560/7045]	Time 0.101 (0.275)	Data 0.008 (0.210)	Loss 4.9182 (5.0127)	Prec@1 6.250 (4.666)	Prec@5 17.969 (16.021)
Epoch: [20][4570/7045]	Time 0.303 (0.275)	Data 0.250 (0.210)	Loss 5.0344 (5.0128)	Prec@1 7.812 (4.665)	Prec@5 15.625 (16.019)
Epoch: [20][4580/7045]	Time 0.344 (0.275)	Data 0.293 (0.210)	Loss 5.0392 (5.0127)	Prec@1 3.516 (4.665)	Prec@5 12.500 (16.019)
Epoch: [20][4590/7045]	Time 0.102 (0.275)	Data 0.001 (0.210)	Loss 5.0399 (5.0129)	Prec@1 6.641 (4.665)	Prec@5 14.844 (16.017)
Epoch: [20][4600/7045]	Time 0.874 (0.275)	Data 0.822 (0.210)	Loss 4.9793 (5.0129)	Prec@1 4.297 (4.665)	Prec@5 12.500 (16.016)
Epoch: [20][4610/7045]	Time 0.183 (0.275)	Data 0.132 (0.210)	Loss 5.0096 (5.0128)	Prec@1 4.688 (4.665)	Prec@5 15.625 (16.015)
Epoch: [20][4620/7045]	Time 0.732 (0.275)	Data 0.681 (0.211)	Loss 5.1465 (5.0128)	Prec@1 5.078 (4.665)	Prec@5 11.719 (16.016)
Epoch: [20][4630/7045]	Time 0.102 (0.275)	Data 0.001 (0.210)	Loss 4.9361 (5.0128)	Prec@1 3.125 (4.666)	Prec@5 16.406 (16.019)
Epoch: [20][4640/7045]	Time 0.328 (0.275)	Data 0.277 (0.210)	Loss 5.0066 (5.0129)	Prec@1 4.297 (4.667)	Prec@5 17.969 (16.017)
Epoch: [20][4650/7045]	Time 0.100 (0.275)	Data 0.001 (0.210)	Loss 5.0041 (5.0128)	Prec@1 5.078 (4.669)	Prec@5 14.062 (16.017)
Epoch: [20][4660/7045]	Time 0.339 (0.275)	Data 0.286 (0.210)	Loss 4.9567 (5.0128)	Prec@1 5.469 (4.670)	Prec@5 15.625 (16.018)
Epoch: [20][4670/7045]	Time 0.103 (0.275)	Data 0.001 (0.210)	Loss 4.9907 (5.0126)	Prec@1 7.422 (4.671)	Prec@5 17.578 (16.022)
Epoch: [20][4680/7045]	Time 0.628 (0.275)	Data 0.575 (0.210)	Loss 4.9996 (5.0125)	Prec@1 6.250 (4.672)	Prec@5 17.578 (16.026)
Epoch: [20][4690/7045]	Time 0.122 (0.275)	Data 0.063 (0.210)	Loss 5.0153 (5.0124)	Prec@1 3.125 (4.673)	Prec@5 17.188 (16.030)
Epoch: [20][4700/7045]	Time 0.708 (0.275)	Data 0.656 (0.210)	Loss 5.1786 (5.0125)	Prec@1 3.906 (4.672)	Prec@5 16.406 (16.030)
Epoch: [20][4710/7045]	Time 0.108 (0.275)	Data 0.057 (0.210)	Loss 4.9678 (5.0126)	Prec@1 6.250 (4.673)	Prec@5 18.750 (16.029)
Epoch: [20][4720/7045]	Time 0.430 (0.275)	Data 0.379 (0.210)	Loss 4.8762 (5.0125)	Prec@1 5.859 (4.673)	Prec@5 17.188 (16.030)
Epoch: [20][4730/7045]	Time 0.187 (0.275)	Data 0.135 (0.210)	Loss 5.0321 (5.0123)	Prec@1 4.688 (4.673)	Prec@5 12.500 (16.032)
Epoch: [20][4740/7045]	Time 0.268 (0.275)	Data 0.217 (0.210)	Loss 5.0390 (5.0122)	Prec@1 3.125 (4.673)	Prec@5 13.281 (16.035)
Epoch: [20][4750/7045]	Time 0.291 (0.275)	Data 0.238 (0.210)	Loss 5.0528 (5.0122)	Prec@1 4.297 (4.672)	Prec@5 14.453 (16.033)
Epoch: [20][4760/7045]	Time 0.235 (0.275)	Data 0.185 (0.210)	Loss 4.9813 (5.0122)	Prec@1 5.469 (4.671)	Prec@5 19.531 (16.033)
Epoch: [20][4770/7045]	Time 0.739 (0.275)	Data 0.687 (0.211)	Loss 5.0490 (5.0123)	Prec@1 4.688 (4.672)	Prec@5 13.672 (16.034)
Epoch: [20][4780/7045]	Time 0.213 (0.275)	Data 0.162 (0.210)	Loss 5.1763 (5.0123)	Prec@1 2.734 (4.670)	Prec@5 12.109 (16.031)
Epoch: [20][4790/7045]	Time 0.262 (0.275)	Data 0.211 (0.210)	Loss 5.0974 (5.0123)	Prec@1 2.344 (4.671)	Prec@5 16.016 (16.031)
Epoch: [20][4800/7045]	Time 0.502 (0.275)	Data 0.440 (0.210)	Loss 5.0268 (5.0123)	Prec@1 5.469 (4.671)	Prec@5 15.234 (16.031)
Epoch: [20][4810/7045]	Time 0.132 (0.275)	Data 0.081 (0.210)	Loss 4.8845 (5.0122)	Prec@1 3.125 (4.671)	Prec@5 18.750 (16.033)
Epoch: [20][4820/7045]	Time 0.102 (0.275)	Data 0.001 (0.211)	Loss 5.0057 (5.0122)	Prec@1 5.469 (4.671)	Prec@5 14.062 (16.036)
Epoch: [20][4830/7045]	Time 0.396 (0.275)	Data 0.344 (0.211)	Loss 4.9864 (5.0123)	Prec@1 7.031 (4.671)	Prec@5 18.359 (16.036)
Epoch: [20][4840/7045]	Time 0.448 (0.275)	Data 0.388 (0.211)	Loss 4.9220 (5.0121)	Prec@1 5.078 (4.672)	Prec@5 19.922 (16.038)
Epoch: [20][4850/7045]	Time 0.149 (0.275)	Data 0.096 (0.211)	Loss 4.8800 (5.0120)	Prec@1 4.297 (4.673)	Prec@5 16.797 (16.040)
Epoch: [20][4860/7045]	Time 0.101 (0.275)	Data 0.001 (0.211)	Loss 4.9805 (5.0119)	Prec@1 3.516 (4.673)	Prec@5 17.969 (16.041)
Epoch: [20][4870/7045]	Time 0.542 (0.275)	Data 0.491 (0.211)	Loss 5.0097 (5.0119)	Prec@1 7.422 (4.674)	Prec@5 17.578 (16.042)
Epoch: [20][4880/7045]	Time 0.294 (0.275)	Data 0.242 (0.210)	Loss 4.9899 (5.0119)	Prec@1 4.688 (4.674)	Prec@5 15.625 (16.043)
Epoch: [20][4890/7045]	Time 0.121 (0.275)	Data 0.067 (0.211)	Loss 4.9812 (5.0117)	Prec@1 4.297 (4.677)	Prec@5 14.453 (16.046)
Epoch: [20][4900/7045]	Time 0.320 (0.275)	Data 0.268 (0.211)	Loss 4.8927 (5.0116)	Prec@1 6.250 (4.679)	Prec@5 17.188 (16.046)
Epoch: [20][4910/7045]	Time 0.100 (0.275)	Data 0.001 (0.211)	Loss 5.0301 (5.0114)	Prec@1 4.688 (4.679)	Prec@5 16.797 (16.048)
Epoch: [20][4920/7045]	Time 0.287 (0.275)	Data 0.236 (0.211)	Loss 4.9584 (5.0115)	Prec@1 4.688 (4.679)	Prec@5 19.141 (16.049)
Epoch: [20][4930/7045]	Time 0.523 (0.275)	Data 0.471 (0.211)	Loss 4.8769 (5.0115)	Prec@1 7.031 (4.679)	Prec@5 16.016 (16.048)
Epoch: [20][4940/7045]	Time 0.250 (0.275)	Data 0.199 (0.211)	Loss 4.8775 (5.0115)	Prec@1 5.078 (4.680)	Prec@5 19.141 (16.051)
Epoch: [20][4950/7045]	Time 0.131 (0.275)	Data 0.078 (0.211)	Loss 4.9212 (5.0115)	Prec@1 6.250 (4.680)	Prec@5 16.406 (16.051)
Epoch: [20][4960/7045]	Time 0.607 (0.276)	Data 0.556 (0.211)	Loss 5.0756 (5.0115)	Prec@1 3.516 (4.680)	Prec@5 14.062 (16.049)
Epoch: [20][4970/7045]	Time 0.100 (0.276)	Data 0.011 (0.211)	Loss 5.1552 (5.0116)	Prec@1 4.688 (4.678)	Prec@5 14.844 (16.047)
Epoch: [20][4980/7045]	Time 0.284 (0.275)	Data 0.234 (0.211)	Loss 4.9527 (5.0117)	Prec@1 4.688 (4.678)	Prec@5 16.797 (16.047)
Epoch: [20][4990/7045]	Time 0.102 (0.275)	Data 0.001 (0.211)	Loss 4.9752 (5.0116)	Prec@1 4.297 (4.679)	Prec@5 16.406 (16.047)
Epoch: [20][5000/7045]	Time 0.145 (0.275)	Data 0.093 (0.211)	Loss 4.9350 (5.0115)	Prec@1 6.641 (4.679)	Prec@5 18.359 (16.050)
Epoch: [20][5010/7045]	Time 0.258 (0.276)	Data 0.198 (0.211)	Loss 5.0001 (5.0115)	Prec@1 2.734 (4.680)	Prec@5 10.938 (16.050)
Epoch: [20][5020/7045]	Time 0.103 (0.275)	Data 0.001 (0.211)	Loss 4.9957 (5.0114)	Prec@1 3.906 (4.680)	Prec@5 17.188 (16.052)
Epoch: [20][5030/7045]	Time 0.102 (0.276)	Data 0.001 (0.211)	Loss 5.0468 (5.0114)	Prec@1 2.734 (4.681)	Prec@5 14.844 (16.053)
Epoch: [20][5040/7045]	Time 0.188 (0.276)	Data 0.137 (0.211)	Loss 5.0678 (5.0115)	Prec@1 6.641 (4.683)	Prec@5 16.406 (16.051)
Epoch: [20][5050/7045]	Time 0.529 (0.276)	Data 0.476 (0.211)	Loss 5.0819 (5.0115)	Prec@1 2.734 (4.683)	Prec@5 14.844 (16.051)
Epoch: [20][5060/7045]	Time 0.344 (0.276)	Data 0.293 (0.211)	Loss 5.1017 (5.0115)	Prec@1 4.297 (4.683)	Prec@5 14.453 (16.050)
Epoch: [20][5070/7045]	Time 0.613 (0.276)	Data 0.555 (0.211)	Loss 4.8911 (5.0114)	Prec@1 3.906 (4.684)	Prec@5 17.578 (16.052)
Epoch: [20][5080/7045]	Time 0.111 (0.276)	Data 0.001 (0.211)	Loss 5.1356 (5.0114)	Prec@1 1.953 (4.684)	Prec@5 14.062 (16.051)
Epoch: [20][5090/7045]	Time 0.652 (0.276)	Data 0.591 (0.211)	Loss 4.9980 (5.0114)	Prec@1 4.688 (4.683)	Prec@5 17.188 (16.052)
Epoch: [20][5100/7045]	Time 0.149 (0.276)	Data 0.099 (0.211)	Loss 5.1346 (5.0114)	Prec@1 3.906 (4.684)	Prec@5 12.109 (16.052)
Epoch: [20][5110/7045]	Time 0.106 (0.276)	Data 0.054 (0.211)	Loss 4.9138 (5.0113)	Prec@1 5.469 (4.683)	Prec@5 19.922 (16.054)
Epoch: [20][5120/7045]	Time 0.101 (0.276)	Data 0.008 (0.211)	Loss 4.9899 (5.0113)	Prec@1 5.469 (4.684)	Prec@5 14.844 (16.056)
Epoch: [20][5130/7045]	Time 0.102 (0.276)	Data 0.001 (0.211)	Loss 4.9908 (5.0113)	Prec@1 4.688 (4.684)	Prec@5 13.672 (16.056)
Epoch: [20][5140/7045]	Time 0.200 (0.276)	Data 0.149 (0.211)	Loss 5.1300 (5.0113)	Prec@1 3.906 (4.684)	Prec@5 16.016 (16.056)
Epoch: [20][5150/7045]	Time 0.137 (0.276)	Data 0.086 (0.211)	Loss 5.0084 (5.0113)	Prec@1 5.469 (4.684)	Prec@5 17.578 (16.055)
Epoch: [20][5160/7045]	Time 0.432 (0.276)	Data 0.379 (0.211)	Loss 4.9818 (5.0113)	Prec@1 3.516 (4.686)	Prec@5 17.969 (16.056)
Epoch: [20][5170/7045]	Time 0.165 (0.276)	Data 0.114 (0.211)	Loss 4.9993 (5.0112)	Prec@1 5.859 (4.687)	Prec@5 16.406 (16.056)
Epoch: [20][5180/7045]	Time 0.110 (0.276)	Data 0.001 (0.211)	Loss 5.0599 (5.0112)	Prec@1 3.516 (4.687)	Prec@5 14.062 (16.055)
Epoch: [20][5190/7045]	Time 0.113 (0.276)	Data 0.061 (0.211)	Loss 5.1925 (5.0112)	Prec@1 5.078 (4.687)	Prec@5 15.234 (16.055)
Epoch: [20][5200/7045]	Time 0.260 (0.276)	Data 0.209 (0.211)	Loss 4.8161 (5.0110)	Prec@1 5.859 (4.687)	Prec@5 17.969 (16.056)
Epoch: [20][5210/7045]	Time 0.161 (0.276)	Data 0.108 (0.211)	Loss 4.9147 (5.0111)	Prec@1 5.859 (4.687)	Prec@5 17.188 (16.055)
Epoch: [20][5220/7045]	Time 0.351 (0.275)	Data 0.300 (0.211)	Loss 4.8603 (5.0109)	Prec@1 7.422 (4.689)	Prec@5 18.359 (16.058)
Epoch: [20][5230/7045]	Time 0.100 (0.276)	Data 0.002 (0.211)	Loss 4.9384 (5.0108)	Prec@1 4.688 (4.689)	Prec@5 20.703 (16.061)
Epoch: [20][5240/7045]	Time 0.722 (0.276)	Data 0.671 (0.211)	Loss 4.9727 (5.0108)	Prec@1 2.344 (4.687)	Prec@5 12.500 (16.060)
Epoch: [20][5250/7045]	Time 0.099 (0.276)	Data 0.001 (0.211)	Loss 4.9315 (5.0107)	Prec@1 8.203 (4.688)	Prec@5 18.750 (16.062)
Epoch: [20][5260/7045]	Time 0.427 (0.276)	Data 0.374 (0.211)	Loss 4.9596 (5.0106)	Prec@1 6.641 (4.689)	Prec@5 19.922 (16.063)
Epoch: [20][5270/7045]	Time 0.226 (0.276)	Data 0.168 (0.211)	Loss 5.0355 (5.0106)	Prec@1 3.906 (4.689)	Prec@5 15.625 (16.062)
Epoch: [20][5280/7045]	Time 0.102 (0.276)	Data 0.001 (0.211)	Loss 5.0057 (5.0106)	Prec@1 3.125 (4.688)	Prec@5 14.453 (16.062)
Epoch: [20][5290/7045]	Time 0.177 (0.276)	Data 0.122 (0.211)	Loss 5.0279 (5.0105)	Prec@1 4.297 (4.687)	Prec@5 16.016 (16.064)
Epoch: [20][5300/7045]	Time 0.582 (0.276)	Data 0.531 (0.211)	Loss 5.0354 (5.0106)	Prec@1 3.906 (4.686)	Prec@5 16.016 (16.061)
Epoch: [20][5310/7045]	Time 0.168 (0.276)	Data 0.108 (0.211)	Loss 5.0109 (5.0107)	Prec@1 4.297 (4.686)	Prec@5 15.625 (16.060)
Epoch: [20][5320/7045]	Time 0.441 (0.276)	Data 0.389 (0.211)	Loss 5.0718 (5.0107)	Prec@1 4.688 (4.687)	Prec@5 16.016 (16.061)
Epoch: [20][5330/7045]	Time 0.102 (0.276)	Data 0.012 (0.211)	Loss 4.9315 (5.0107)	Prec@1 4.688 (4.686)	Prec@5 17.969 (16.061)
Epoch: [20][5340/7045]	Time 0.592 (0.276)	Data 0.541 (0.211)	Loss 5.0289 (5.0108)	Prec@1 4.688 (4.686)	Prec@5 14.062 (16.060)
Epoch: [20][5350/7045]	Time 0.102 (0.276)	Data 0.002 (0.211)	Loss 5.0380 (5.0107)	Prec@1 4.297 (4.686)	Prec@5 16.797 (16.062)
Epoch: [20][5360/7045]	Time 0.284 (0.276)	Data 0.231 (0.211)	Loss 5.0437 (5.0108)	Prec@1 2.734 (4.685)	Prec@5 13.281 (16.059)
Epoch: [20][5370/7045]	Time 0.488 (0.276)	Data 0.435 (0.211)	Loss 5.1119 (5.0110)	Prec@1 2.734 (4.684)	Prec@5 12.109 (16.055)
Epoch: [20][5380/7045]	Time 0.102 (0.276)	Data 0.022 (0.211)	Loss 4.9859 (5.0110)	Prec@1 5.078 (4.685)	Prec@5 13.281 (16.053)
Epoch: [20][5390/7045]	Time 0.326 (0.276)	Data 0.274 (0.211)	Loss 4.9336 (5.0109)	Prec@1 5.469 (4.686)	Prec@5 16.406 (16.056)
Epoch: [20][5400/7045]	Time 0.131 (0.276)	Data 0.079 (0.211)	Loss 5.0001 (5.0109)	Prec@1 5.078 (4.687)	Prec@5 17.969 (16.056)
Epoch: [20][5410/7045]	Time 0.385 (0.276)	Data 0.334 (0.211)	Loss 5.0935 (5.0110)	Prec@1 6.250 (4.686)	Prec@5 14.453 (16.054)
Epoch: [20][5420/7045]	Time 0.282 (0.276)	Data 0.230 (0.211)	Loss 4.9969 (5.0110)	Prec@1 2.734 (4.687)	Prec@5 14.453 (16.055)
Epoch: [20][5430/7045]	Time 0.560 (0.276)	Data 0.501 (0.211)	Loss 5.2106 (5.0111)	Prec@1 1.953 (4.686)	Prec@5 12.500 (16.054)
Epoch: [20][5440/7045]	Time 0.101 (0.276)	Data 0.001 (0.211)	Loss 5.1155 (5.0112)	Prec@1 3.906 (4.684)	Prec@5 15.625 (16.052)
Epoch: [20][5450/7045]	Time 0.102 (0.276)	Data 0.050 (0.211)	Loss 5.0375 (5.0113)	Prec@1 4.688 (4.684)	Prec@5 15.625 (16.051)
Epoch: [20][5460/7045]	Time 0.104 (0.276)	Data 0.052 (0.211)	Loss 5.0029 (5.0112)	Prec@1 4.297 (4.684)	Prec@5 13.281 (16.052)
Epoch: [20][5470/7045]	Time 0.372 (0.276)	Data 0.319 (0.211)	Loss 4.9901 (5.0113)	Prec@1 4.688 (4.685)	Prec@5 16.797 (16.052)
Epoch: [20][5480/7045]	Time 0.333 (0.276)	Data 0.281 (0.211)	Loss 5.1163 (5.0114)	Prec@1 3.516 (4.684)	Prec@5 15.625 (16.049)
Epoch: [20][5490/7045]	Time 0.257 (0.276)	Data 0.204 (0.211)	Loss 5.0962 (5.0114)	Prec@1 3.906 (4.684)	Prec@5 14.844 (16.051)
Epoch: [20][5500/7045]	Time 0.108 (0.276)	Data 0.054 (0.212)	Loss 5.1945 (5.0113)	Prec@1 5.859 (4.684)	Prec@5 14.844 (16.053)
Epoch: [20][5510/7045]	Time 0.678 (0.276)	Data 0.627 (0.212)	Loss 4.9622 (5.0114)	Prec@1 4.297 (4.685)	Prec@5 14.844 (16.052)
Epoch: [20][5520/7045]	Time 0.274 (0.276)	Data 0.215 (0.211)	Loss 5.0802 (5.0114)	Prec@1 5.078 (4.685)	Prec@5 14.844 (16.051)
Epoch: [20][5530/7045]	Time 0.148 (0.276)	Data 0.095 (0.211)	Loss 4.9731 (5.0114)	Prec@1 5.078 (4.686)	Prec@5 16.406 (16.051)
Epoch: [20][5540/7045]	Time 0.444 (0.276)	Data 0.382 (0.211)	Loss 5.0301 (5.0114)	Prec@1 4.297 (4.686)	Prec@5 16.406 (16.051)
Epoch: [20][5550/7045]	Time 0.102 (0.276)	Data 0.001 (0.211)	Loss 5.1016 (5.0115)	Prec@1 5.078 (4.687)	Prec@5 14.062 (16.051)
Epoch: [20][5560/7045]	Time 0.224 (0.276)	Data 0.173 (0.211)	Loss 5.0177 (5.0115)	Prec@1 5.078 (4.687)	Prec@5 13.281 (16.049)
Epoch: [20][5570/7045]	Time 0.102 (0.276)	Data 0.001 (0.212)	Loss 5.0353 (5.0115)	Prec@1 5.469 (4.687)	Prec@5 17.188 (16.049)
Epoch: [20][5580/7045]	Time 0.101 (0.276)	Data 0.001 (0.212)	Loss 4.8636 (5.0115)	Prec@1 6.641 (4.687)	Prec@5 18.750 (16.048)
Epoch: [20][5590/7045]	Time 0.294 (0.276)	Data 0.242 (0.212)	Loss 5.0356 (5.0114)	Prec@1 3.906 (4.688)	Prec@5 16.406 (16.048)
Epoch: [20][5600/7045]	Time 0.109 (0.276)	Data 0.058 (0.212)	Loss 4.9464 (5.0114)	Prec@1 4.688 (4.688)	Prec@5 16.016 (16.048)
Epoch: [20][5610/7045]	Time 0.346 (0.276)	Data 0.294 (0.212)	Loss 5.0674 (5.0115)	Prec@1 7.422 (4.688)	Prec@5 18.750 (16.047)
Epoch: [20][5620/7045]	Time 0.256 (0.276)	Data 0.205 (0.212)	Loss 5.0875 (5.0115)	Prec@1 3.906 (4.687)	Prec@5 16.016 (16.046)
Epoch: [20][5630/7045]	Time 0.521 (0.276)	Data 0.470 (0.212)	Loss 5.0641 (5.0115)	Prec@1 3.906 (4.687)	Prec@5 14.453 (16.045)
Epoch: [20][5640/7045]	Time 0.101 (0.276)	Data 0.046 (0.212)	Loss 5.0937 (5.0116)	Prec@1 4.297 (4.685)	Prec@5 15.234 (16.042)
Epoch: [20][5650/7045]	Time 0.621 (0.276)	Data 0.569 (0.212)	Loss 5.0745 (5.0116)	Prec@1 3.125 (4.684)	Prec@5 14.062 (16.041)
Epoch: [20][5660/7045]	Time 0.240 (0.276)	Data 0.181 (0.212)	Loss 5.0011 (5.0116)	Prec@1 7.422 (4.684)	Prec@5 17.188 (16.040)
Epoch: [20][5670/7045]	Time 0.101 (0.276)	Data 0.009 (0.212)	Loss 4.9525 (5.0116)	Prec@1 3.125 (4.685)	Prec@5 16.016 (16.042)
Epoch: [20][5680/7045]	Time 0.101 (0.276)	Data 0.004 (0.212)	Loss 5.0854 (5.0116)	Prec@1 4.297 (4.685)	Prec@5 13.672 (16.041)
Epoch: [20][5690/7045]	Time 0.102 (0.276)	Data 0.008 (0.212)	Loss 5.0975 (5.0116)	Prec@1 3.125 (4.684)	Prec@5 12.109 (16.041)
Epoch: [20][5700/7045]	Time 0.519 (0.276)	Data 0.461 (0.212)	Loss 4.9043 (5.0115)	Prec@1 4.297 (4.684)	Prec@5 18.750 (16.043)
Epoch: [20][5710/7045]	Time 0.192 (0.276)	Data 0.141 (0.212)	Loss 4.9749 (5.0114)	Prec@1 7.812 (4.686)	Prec@5 16.797 (16.044)
Epoch: [20][5720/7045]	Time 0.102 (0.276)	Data 0.015 (0.212)	Loss 4.9817 (5.0115)	Prec@1 3.906 (4.685)	Prec@5 17.578 (16.043)
Epoch: [20][5730/7045]	Time 0.109 (0.276)	Data 0.057 (0.212)	Loss 5.0742 (5.0115)	Prec@1 1.953 (4.684)	Prec@5 14.453 (16.044)
Epoch: [20][5740/7045]	Time 0.723 (0.276)	Data 0.671 (0.212)	Loss 5.0314 (5.0115)	Prec@1 2.734 (4.681)	Prec@5 14.062 (16.042)
Epoch: [20][5750/7045]	Time 0.102 (0.276)	Data 0.044 (0.212)	Loss 5.0121 (5.0115)	Prec@1 5.469 (4.682)	Prec@5 16.016 (16.042)
Epoch: [20][5760/7045]	Time 0.509 (0.276)	Data 0.450 (0.212)	Loss 5.0705 (5.0115)	Prec@1 5.078 (4.683)	Prec@5 14.453 (16.042)
Epoch: [20][5770/7045]	Time 0.102 (0.276)	Data 0.001 (0.212)	Loss 4.9386 (5.0114)	Prec@1 5.469 (4.684)	Prec@5 12.891 (16.043)
Epoch: [20][5780/7045]	Time 0.333 (0.276)	Data 0.282 (0.212)	Loss 4.9410 (5.0114)	Prec@1 2.734 (4.683)	Prec@5 14.062 (16.041)
Epoch: [20][5790/7045]	Time 0.379 (0.276)	Data 0.327 (0.212)	Loss 4.9610 (5.0114)	Prec@1 4.297 (4.681)	Prec@5 17.188 (16.039)
Epoch: [20][5800/7045]	Time 0.101 (0.276)	Data 0.001 (0.212)	Loss 5.1205 (5.0114)	Prec@1 5.078 (4.682)	Prec@5 13.281 (16.038)
Epoch: [20][5810/7045]	Time 0.246 (0.276)	Data 0.194 (0.212)	Loss 4.7554 (5.0113)	Prec@1 6.250 (4.682)	Prec@5 20.312 (16.037)
Epoch: [20][5820/7045]	Time 0.241 (0.276)	Data 0.189 (0.212)	Loss 4.9041 (5.0112)	Prec@1 3.906 (4.682)	Prec@5 17.578 (16.039)
Epoch: [20][5830/7045]	Time 0.271 (0.276)	Data 0.220 (0.212)	Loss 5.1543 (5.0111)	Prec@1 1.562 (4.683)	Prec@5 12.891 (16.041)
Epoch: [20][5840/7045]	Time 0.331 (0.276)	Data 0.280 (0.212)	Loss 5.0749 (5.0111)	Prec@1 6.641 (4.685)	Prec@5 14.453 (16.043)
Epoch: [20][5850/7045]	Time 0.205 (0.276)	Data 0.153 (0.212)	Loss 5.0220 (5.0112)	Prec@1 3.516 (4.684)	Prec@5 16.406 (16.041)
Epoch: [20][5860/7045]	Time 0.355 (0.276)	Data 0.304 (0.212)	Loss 5.2007 (5.0113)	Prec@1 5.078 (4.684)	Prec@5 13.672 (16.041)
Epoch: [20][5870/7045]	Time 0.276 (0.276)	Data 0.225 (0.212)	Loss 4.8800 (5.0113)	Prec@1 4.297 (4.683)	Prec@5 16.406 (16.040)
Epoch: [20][5880/7045]	Time 0.236 (0.276)	Data 0.185 (0.212)	Loss 4.9138 (5.0112)	Prec@1 3.516 (4.682)	Prec@5 17.188 (16.040)
Epoch: [20][5890/7045]	Time 0.610 (0.276)	Data 0.557 (0.212)	Loss 5.1303 (5.0112)	Prec@1 3.516 (4.681)	Prec@5 13.672 (16.041)
Epoch: [20][5900/7045]	Time 0.103 (0.276)	Data 0.051 (0.212)	Loss 4.9258 (5.0111)	Prec@1 3.125 (4.682)	Prec@5 16.016 (16.044)
Epoch: [20][5910/7045]	Time 0.101 (0.276)	Data 0.011 (0.212)	Loss 5.1555 (5.0111)	Prec@1 4.297 (4.682)	Prec@5 13.281 (16.042)
Epoch: [20][5920/7045]	Time 0.101 (0.276)	Data 0.001 (0.212)	Loss 4.9975 (5.0112)	Prec@1 3.516 (4.681)	Prec@5 13.281 (16.039)
Epoch: [20][5930/7045]	Time 0.101 (0.276)	Data 0.042 (0.212)	Loss 5.1776 (5.0113)	Prec@1 1.172 (4.681)	Prec@5 12.891 (16.039)
Epoch: [20][5940/7045]	Time 0.113 (0.276)	Data 0.062 (0.212)	Loss 5.0128 (5.0114)	Prec@1 4.297 (4.680)	Prec@5 14.453 (16.037)
Epoch: [20][5950/7045]	Time 0.110 (0.276)	Data 0.058 (0.212)	Loss 5.1101 (5.0114)	Prec@1 2.344 (4.679)	Prec@5 12.891 (16.037)
Epoch: [20][5960/7045]	Time 0.101 (0.276)	Data 0.001 (0.212)	Loss 5.1177 (5.0115)	Prec@1 2.734 (4.679)	Prec@5 10.938 (16.036)
Epoch: [20][5970/7045]	Time 0.102 (0.276)	Data 0.001 (0.212)	Loss 5.0790 (5.0115)	Prec@1 2.344 (4.678)	Prec@5 14.844 (16.035)
Epoch: [20][5980/7045]	Time 0.111 (0.276)	Data 0.008 (0.212)	Loss 4.9376 (5.0114)	Prec@1 4.688 (4.679)	Prec@5 16.406 (16.036)
Epoch: [20][5990/7045]	Time 0.109 (0.276)	Data 0.058 (0.212)	Loss 5.2053 (5.0116)	Prec@1 2.734 (4.677)	Prec@5 12.500 (16.030)
Epoch: [20][6000/7045]	Time 0.312 (0.276)	Data 0.260 (0.212)	Loss 5.0161 (5.0116)	Prec@1 5.469 (4.677)	Prec@5 17.969 (16.032)
Epoch: [20][6010/7045]	Time 0.233 (0.276)	Data 0.182 (0.212)	Loss 5.2464 (5.0116)	Prec@1 1.172 (4.676)	Prec@5 8.984 (16.030)
Epoch: [20][6020/7045]	Time 0.116 (0.276)	Data 0.057 (0.212)	Loss 5.0026 (5.0116)	Prec@1 6.250 (4.677)	Prec@5 16.016 (16.029)
Epoch: [20][6030/7045]	Time 0.573 (0.276)	Data 0.521 (0.212)	Loss 5.1098 (5.0116)	Prec@1 5.859 (4.677)	Prec@5 14.453 (16.030)
Epoch: [20][6040/7045]	Time 0.102 (0.276)	Data 0.003 (0.212)	Loss 4.9351 (5.0116)	Prec@1 5.859 (4.679)	Prec@5 17.578 (16.031)
Epoch: [20][6050/7045]	Time 0.584 (0.277)	Data 0.533 (0.212)	Loss 5.0388 (5.0115)	Prec@1 4.297 (4.679)	Prec@5 15.625 (16.033)
Epoch: [20][6060/7045]	Time 0.101 (0.277)	Data 0.017 (0.212)	Loss 5.0203 (5.0115)	Prec@1 2.734 (4.679)	Prec@5 13.281 (16.032)
Epoch: [20][6070/7045]	Time 0.368 (0.276)	Data 0.317 (0.212)	Loss 5.0140 (5.0116)	Prec@1 3.906 (4.680)	Prec@5 16.406 (16.032)
Epoch: [20][6080/7045]	Time 0.321 (0.276)	Data 0.270 (0.212)	Loss 5.0620 (5.0117)	Prec@1 3.906 (4.679)	Prec@5 12.891 (16.031)
Epoch: [20][6090/7045]	Time 0.108 (0.276)	Data 0.047 (0.212)	Loss 5.0755 (5.0117)	Prec@1 3.906 (4.678)	Prec@5 12.109 (16.030)
Epoch: [20][6100/7045]	Time 0.583 (0.276)	Data 0.530 (0.212)	Loss 4.9570 (5.0118)	Prec@1 4.688 (4.677)	Prec@5 15.234 (16.028)
Epoch: [20][6110/7045]	Time 0.124 (0.276)	Data 0.072 (0.212)	Loss 5.0342 (5.0118)	Prec@1 3.906 (4.677)	Prec@5 10.938 (16.025)
Epoch: [20][6120/7045]	Time 0.631 (0.277)	Data 0.579 (0.213)	Loss 5.0734 (5.0118)	Prec@1 3.906 (4.677)	Prec@5 13.672 (16.026)
Epoch: [20][6130/7045]	Time 0.158 (0.277)	Data 0.105 (0.212)	Loss 5.0088 (5.0118)	Prec@1 5.469 (4.677)	Prec@5 16.016 (16.026)
Epoch: [20][6140/7045]	Time 0.505 (0.277)	Data 0.454 (0.212)	Loss 4.9358 (5.0118)	Prec@1 4.688 (4.677)	Prec@5 17.188 (16.025)
Epoch: [20][6150/7045]	Time 0.125 (0.277)	Data 0.072 (0.212)	Loss 5.1316 (5.0117)	Prec@1 5.078 (4.677)	Prec@5 13.672 (16.024)
Epoch: [20][6160/7045]	Time 0.103 (0.277)	Data 0.016 (0.212)	Loss 4.9379 (5.0118)	Prec@1 3.125 (4.677)	Prec@5 18.750 (16.023)
Epoch: [20][6170/7045]	Time 0.542 (0.277)	Data 0.490 (0.213)	Loss 5.0469 (5.0119)	Prec@1 4.688 (4.677)	Prec@5 13.672 (16.024)
Epoch: [20][6180/7045]	Time 0.101 (0.277)	Data 0.009 (0.213)	Loss 5.0135 (5.0119)	Prec@1 6.250 (4.677)	Prec@5 16.406 (16.024)
Epoch: [20][6190/7045]	Time 0.515 (0.277)	Data 0.454 (0.212)	Loss 5.1455 (5.0120)	Prec@1 5.469 (4.677)	Prec@5 13.281 (16.023)
Epoch: [20][6200/7045]	Time 0.107 (0.277)	Data 0.053 (0.212)	Loss 5.0892 (5.0120)	Prec@1 4.297 (4.677)	Prec@5 14.453 (16.020)
Epoch: [20][6210/7045]	Time 0.768 (0.277)	Data 0.716 (0.212)	Loss 5.0547 (5.0121)	Prec@1 4.297 (4.676)	Prec@5 17.969 (16.020)
Epoch: [20][6220/7045]	Time 0.102 (0.277)	Data 0.001 (0.212)	Loss 5.0812 (5.0120)	Prec@1 5.859 (4.677)	Prec@5 14.844 (16.021)
Epoch: [20][6230/7045]	Time 0.343 (0.277)	Data 0.292 (0.212)	Loss 4.9318 (5.0120)	Prec@1 2.344 (4.676)	Prec@5 19.922 (16.022)
Epoch: [20][6240/7045]	Time 0.102 (0.277)	Data 0.007 (0.212)	Loss 5.1548 (5.0121)	Prec@1 3.125 (4.676)	Prec@5 14.453 (16.023)
Epoch: [20][6250/7045]	Time 0.275 (0.277)	Data 0.220 (0.212)	Loss 5.1828 (5.0121)	Prec@1 3.906 (4.676)	Prec@5 15.234 (16.022)
Epoch: [20][6260/7045]	Time 0.194 (0.277)	Data 0.142 (0.212)	Loss 5.0022 (5.0122)	Prec@1 4.297 (4.675)	Prec@5 17.969 (16.020)
Epoch: [20][6270/7045]	Time 0.174 (0.277)	Data 0.124 (0.212)	Loss 4.8918 (5.0122)	Prec@1 4.688 (4.676)	Prec@5 18.359 (16.020)
Epoch: [20][6280/7045]	Time 0.145 (0.276)	Data 0.094 (0.212)	Loss 5.1627 (5.0122)	Prec@1 3.125 (4.677)	Prec@5 13.281 (16.021)
Epoch: [20][6290/7045]	Time 0.169 (0.276)	Data 0.119 (0.212)	Loss 5.0479 (5.0121)	Prec@1 6.250 (4.677)	Prec@5 17.188 (16.020)
Epoch: [20][6300/7045]	Time 0.300 (0.276)	Data 0.249 (0.212)	Loss 4.9582 (5.0120)	Prec@1 4.297 (4.678)	Prec@5 15.625 (16.022)
Epoch: [20][6310/7045]	Time 0.104 (0.276)	Data 0.001 (0.212)	Loss 4.9728 (5.0121)	Prec@1 3.125 (4.677)	Prec@5 14.062 (16.022)
Epoch: [20][6320/7045]	Time 0.543 (0.277)	Data 0.491 (0.212)	Loss 5.1014 (5.0121)	Prec@1 3.516 (4.676)	Prec@5 16.016 (16.021)
Epoch: [20][6330/7045]	Time 0.101 (0.276)	Data 0.012 (0.212)	Loss 5.1223 (5.0121)	Prec@1 1.953 (4.675)	Prec@5 12.500 (16.019)
Epoch: [20][6340/7045]	Time 0.341 (0.276)	Data 0.288 (0.212)	Loss 4.9173 (5.0122)	Prec@1 3.125 (4.675)	Prec@5 19.141 (16.019)
Epoch: [20][6350/7045]	Time 0.155 (0.276)	Data 0.102 (0.212)	Loss 4.8547 (5.0122)	Prec@1 6.641 (4.675)	Prec@5 18.359 (16.019)
Epoch: [20][6360/7045]	Time 0.101 (0.276)	Data 0.008 (0.212)	Loss 5.2669 (5.0122)	Prec@1 6.250 (4.675)	Prec@5 14.844 (16.019)
Epoch: [20][6370/7045]	Time 0.268 (0.276)	Data 0.215 (0.212)	Loss 5.0486 (5.0124)	Prec@1 3.125 (4.674)	Prec@5 15.625 (16.016)
Epoch: [20][6380/7045]	Time 0.101 (0.276)	Data 0.003 (0.212)	Loss 5.0538 (5.0124)	Prec@1 5.078 (4.675)	Prec@5 12.109 (16.015)
Epoch: [20][6390/7045]	Time 0.103 (0.277)	Data 0.049 (0.212)	Loss 5.0242 (5.0125)	Prec@1 7.031 (4.675)	Prec@5 15.234 (16.014)
Epoch: [20][6400/7045]	Time 0.102 (0.277)	Data 0.001 (0.212)	Loss 4.9607 (5.0125)	Prec@1 5.469 (4.675)	Prec@5 17.188 (16.015)
Epoch: [20][6410/7045]	Time 0.102 (0.277)	Data 0.009 (0.212)	Loss 4.8991 (5.0124)	Prec@1 5.078 (4.675)	Prec@5 18.750 (16.017)
Epoch: [20][6420/7045]	Time 0.500 (0.277)	Data 0.448 (0.212)	Loss 5.1136 (5.0124)	Prec@1 3.125 (4.676)	Prec@5 12.109 (16.017)
Epoch: [20][6430/7045]	Time 0.397 (0.277)	Data 0.346 (0.212)	Loss 5.0073 (5.0123)	Prec@1 5.859 (4.677)	Prec@5 19.531 (16.021)
Epoch: [20][6440/7045]	Time 0.103 (0.277)	Data 0.001 (0.212)	Loss 5.1091 (5.0124)	Prec@1 3.125 (4.677)	Prec@5 14.062 (16.020)
Epoch: [20][6450/7045]	Time 0.100 (0.276)	Data 0.005 (0.212)	Loss 5.1513 (5.0125)	Prec@1 5.078 (4.675)	Prec@5 13.672 (16.018)
Epoch: [20][6460/7045]	Time 0.141 (0.276)	Data 0.090 (0.212)	Loss 5.1304 (5.0126)	Prec@1 2.734 (4.675)	Prec@5 15.234 (16.018)
Epoch: [20][6470/7045]	Time 0.177 (0.276)	Data 0.125 (0.212)	Loss 4.8303 (5.0126)	Prec@1 8.203 (4.674)	Prec@5 21.875 (16.016)
Epoch: [20][6480/7045]	Time 0.102 (0.276)	Data 0.001 (0.212)	Loss 4.9898 (5.0126)	Prec@1 3.125 (4.673)	Prec@5 15.234 (16.015)
Epoch: [20][6490/7045]	Time 0.117 (0.276)	Data 0.066 (0.212)	Loss 5.0643 (5.0126)	Prec@1 7.422 (4.673)	Prec@5 12.500 (16.013)
Epoch: [20][6500/7045]	Time 0.102 (0.276)	Data 0.004 (0.212)	Loss 5.1550 (5.0125)	Prec@1 2.734 (4.673)	Prec@5 14.062 (16.013)
Epoch: [20][6510/7045]	Time 0.101 (0.276)	Data 0.001 (0.212)	Loss 5.0607 (5.0127)	Prec@1 5.859 (4.673)	Prec@5 16.016 (16.011)
Epoch: [20][6520/7045]	Time 0.178 (0.276)	Data 0.128 (0.212)	Loss 5.2087 (5.0127)	Prec@1 3.516 (4.672)	Prec@5 13.672 (16.011)
Epoch: [20][6530/7045]	Time 0.330 (0.276)	Data 0.273 (0.212)	Loss 5.1229 (5.0128)	Prec@1 4.297 (4.671)	Prec@5 14.453 (16.009)
Epoch: [20][6540/7045]	Time 0.101 (0.276)	Data 0.001 (0.212)	Loss 5.0496 (5.0128)	Prec@1 4.297 (4.670)	Prec@5 16.797 (16.008)
Epoch: [20][6550/7045]	Time 0.441 (0.276)	Data 0.383 (0.212)	Loss 5.1229 (5.0128)	Prec@1 3.516 (4.670)	Prec@5 18.359 (16.010)
Epoch: [20][6560/7045]	Time 0.232 (0.276)	Data 0.171 (0.212)	Loss 5.0182 (5.0128)	Prec@1 2.734 (4.670)	Prec@5 17.578 (16.010)
Epoch: [20][6570/7045]	Time 0.268 (0.276)	Data 0.216 (0.212)	Loss 5.0063 (5.0129)	Prec@1 4.688 (4.668)	Prec@5 14.844 (16.007)
Epoch: [20][6580/7045]	Time 0.101 (0.276)	Data 0.001 (0.212)	Loss 5.0827 (5.0130)	Prec@1 4.297 (4.669)	Prec@5 16.016 (16.007)
Epoch: [20][6590/7045]	Time 0.433 (0.276)	Data 0.380 (0.212)	Loss 4.9520 (5.0130)	Prec@1 7.422 (4.669)	Prec@5 17.969 (16.008)
Epoch: [20][6600/7045]	Time 0.289 (0.276)	Data 0.231 (0.212)	Loss 4.9719 (5.0130)	Prec@1 1.953 (4.669)	Prec@5 14.844 (16.009)
Epoch: [20][6610/7045]	Time 0.632 (0.276)	Data 0.580 (0.212)	Loss 5.0096 (5.0131)	Prec@1 4.297 (4.668)	Prec@5 14.844 (16.007)
Epoch: [20][6620/7045]	Time 0.285 (0.276)	Data 0.233 (0.212)	Loss 5.1590 (5.0131)	Prec@1 2.734 (4.668)	Prec@5 13.281 (16.007)
Epoch: [20][6630/7045]	Time 0.110 (0.276)	Data 0.001 (0.212)	Loss 4.9365 (5.0131)	Prec@1 4.297 (4.667)	Prec@5 15.234 (16.007)
Epoch: [20][6640/7045]	Time 0.618 (0.276)	Data 0.566 (0.212)	Loss 5.1021 (5.0131)	Prec@1 4.297 (4.668)	Prec@5 21.484 (16.009)
Epoch: [20][6650/7045]	Time 0.315 (0.276)	Data 0.263 (0.212)	Loss 4.9514 (5.0131)	Prec@1 4.688 (4.667)	Prec@5 15.234 (16.008)
Epoch: [20][6660/7045]	Time 0.121 (0.276)	Data 0.070 (0.212)	Loss 4.9564 (5.0132)	Prec@1 4.688 (4.667)	Prec@5 16.016 (16.007)
Epoch: [20][6670/7045]	Time 0.367 (0.276)	Data 0.316 (0.212)	Loss 4.9767 (5.0132)	Prec@1 4.688 (4.665)	Prec@5 14.844 (16.005)
Epoch: [20][6680/7045]	Time 0.428 (0.276)	Data 0.376 (0.212)	Loss 5.1698 (5.0133)	Prec@1 3.906 (4.665)	Prec@5 13.281 (16.003)
Epoch: [20][6690/7045]	Time 0.102 (0.276)	Data 0.004 (0.212)	Loss 5.0193 (5.0134)	Prec@1 5.859 (4.664)	Prec@5 16.406 (16.003)
Epoch: [20][6700/7045]	Time 0.522 (0.276)	Data 0.470 (0.212)	Loss 4.9386 (5.0134)	Prec@1 4.297 (4.664)	Prec@5 10.547 (16.000)
Epoch: [20][6710/7045]	Time 0.116 (0.276)	Data 0.064 (0.212)	Loss 5.0383 (5.0134)	Prec@1 4.688 (4.663)	Prec@5 17.188 (16.000)
Epoch: [20][6720/7045]	Time 0.451 (0.276)	Data 0.399 (0.212)	Loss 5.1817 (5.0134)	Prec@1 1.953 (4.662)	Prec@5 14.453 (15.998)
Epoch: [20][6730/7045]	Time 0.489 (0.276)	Data 0.437 (0.212)	Loss 5.0817 (5.0135)	Prec@1 3.516 (4.661)	Prec@5 12.891 (15.996)
Epoch: [20][6740/7045]	Time 0.212 (0.276)	Data 0.161 (0.212)	Loss 5.0615 (5.0136)	Prec@1 5.469 (4.661)	Prec@5 17.578 (15.996)
Epoch: [20][6750/7045]	Time 0.737 (0.276)	Data 0.685 (0.212)	Loss 4.9814 (5.0137)	Prec@1 4.297 (4.660)	Prec@5 16.406 (15.995)
Epoch: [20][6760/7045]	Time 0.199 (0.276)	Data 0.148 (0.212)	Loss 4.9524 (5.0137)	Prec@1 5.859 (4.660)	Prec@5 15.625 (15.995)
Epoch: [20][6770/7045]	Time 0.230 (0.276)	Data 0.178 (0.212)	Loss 4.9894 (5.0136)	Prec@1 3.516 (4.662)	Prec@5 14.453 (15.997)
Epoch: [20][6780/7045]	Time 0.237 (0.276)	Data 0.186 (0.212)	Loss 5.1679 (5.0137)	Prec@1 3.125 (4.661)	Prec@5 15.625 (15.994)
Epoch: [20][6790/7045]	Time 0.101 (0.276)	Data 0.001 (0.212)	Loss 4.9998 (5.0137)	Prec@1 7.422 (4.661)	Prec@5 18.750 (15.994)
Epoch: [20][6800/7045]	Time 0.189 (0.276)	Data 0.137 (0.212)	Loss 4.8586 (5.0137)	Prec@1 4.297 (4.661)	Prec@5 17.969 (15.995)
Epoch: [20][6810/7045]	Time 0.102 (0.276)	Data 0.022 (0.212)	Loss 5.0754 (5.0138)	Prec@1 5.469 (4.661)	Prec@5 16.406 (15.994)
Epoch: [20][6820/7045]	Time 0.328 (0.276)	Data 0.267 (0.212)	Loss 4.8933 (5.0138)	Prec@1 7.422 (4.662)	Prec@5 14.453 (15.993)
Epoch: [20][6830/7045]	Time 0.131 (0.276)	Data 0.079 (0.212)	Loss 4.9179 (5.0138)	Prec@1 4.688 (4.662)	Prec@5 14.062 (15.993)
Epoch: [20][6840/7045]	Time 0.255 (0.276)	Data 0.203 (0.212)	Loss 5.1088 (5.0138)	Prec@1 5.859 (4.662)	Prec@5 13.672 (15.993)
Epoch: [20][6850/7045]	Time 0.192 (0.276)	Data 0.141 (0.212)	Loss 5.0048 (5.0138)	Prec@1 4.688 (4.661)	Prec@5 17.578 (15.992)
Epoch: [20][6860/7045]	Time 0.199 (0.276)	Data 0.148 (0.212)	Loss 5.0062 (5.0138)	Prec@1 5.859 (4.662)	Prec@5 16.797 (15.991)
Epoch: [20][6870/7045]	Time 0.109 (0.276)	Data 0.057 (0.211)	Loss 4.8738 (5.0138)	Prec@1 5.859 (4.662)	Prec@5 16.406 (15.992)
Epoch: [20][6880/7045]	Time 0.214 (0.276)	Data 0.158 (0.211)	Loss 5.0245 (5.0137)	Prec@1 5.859 (4.662)	Prec@5 19.531 (15.995)
Epoch: [20][6890/7045]	Time 0.105 (0.276)	Data 0.054 (0.212)	Loss 5.0522 (5.0137)	Prec@1 4.297 (4.661)	Prec@5 16.797 (15.993)
Epoch: [20][6900/7045]	Time 0.206 (0.276)	Data 0.149 (0.212)	Loss 4.9779 (5.0137)	Prec@1 5.469 (4.662)	Prec@5 17.578 (15.993)
Epoch: [20][6910/7045]	Time 0.101 (0.276)	Data 0.001 (0.212)	Loss 5.0324 (5.0137)	Prec@1 2.344 (4.661)	Prec@5 11.328 (15.994)
Epoch: [20][6920/7045]	Time 0.108 (0.276)	Data 0.055 (0.212)	Loss 5.1021 (5.0137)	Prec@1 3.516 (4.661)	Prec@5 14.453 (15.993)
Epoch: [20][6930/7045]	Time 0.107 (0.276)	Data 0.001 (0.212)	Loss 5.0882 (5.0139)	Prec@1 4.297 (4.660)	Prec@5 16.406 (15.990)
Epoch: [20][6940/7045]	Time 0.398 (0.276)	Data 0.345 (0.212)	Loss 5.1145 (5.0140)	Prec@1 4.688 (4.659)	Prec@5 15.625 (15.990)
Epoch: [20][6950/7045]	Time 0.102 (0.276)	Data 0.001 (0.212)	Loss 5.0552 (5.0140)	Prec@1 3.516 (4.659)	Prec@5 16.016 (15.989)
Epoch: [20][6960/7045]	Time 0.607 (0.276)	Data 0.556 (0.212)	Loss 4.9723 (5.0140)	Prec@1 3.516 (4.659)	Prec@5 16.797 (15.990)
Epoch: [20][6970/7045]	Time 0.160 (0.276)	Data 0.109 (0.211)	Loss 5.0741 (5.0142)	Prec@1 5.859 (4.658)	Prec@5 16.797 (15.988)
Epoch: [20][6980/7045]	Time 0.544 (0.276)	Data 0.484 (0.212)	Loss 5.1347 (5.0143)	Prec@1 1.172 (4.657)	Prec@5 12.109 (15.985)
Epoch: [20][6990/7045]	Time 0.336 (0.276)	Data 0.284 (0.212)	Loss 5.1760 (5.0143)	Prec@1 3.125 (4.657)	Prec@5 13.281 (15.986)
Epoch: [20][7000/7045]	Time 0.116 (0.276)	Data 0.064 (0.212)	Loss 5.1271 (5.0144)	Prec@1 3.516 (4.656)	Prec@5 12.891 (15.986)
Epoch: [20][7010/7045]	Time 0.360 (0.276)	Data 0.308 (0.212)	Loss 5.0713 (5.0144)	Prec@1 3.906 (4.655)	Prec@5 14.844 (15.985)
Epoch: [20][7020/7045]	Time 0.102 (0.276)	Data 0.016 (0.212)	Loss 5.0748 (5.0143)	Prec@1 3.125 (4.655)	Prec@5 19.922 (15.987)
Epoch: [20][7030/7045]	Time 0.210 (0.276)	Data 0.157 (0.212)	Loss 4.9784 (5.0144)	Prec@1 3.516 (4.655)	Prec@5 16.406 (15.986)
Epoch: [20][7040/7045]	Time 0.466 (0.276)	Data 0.415 (0.212)	Loss 4.9805 (5.0144)	Prec@1 6.250 (4.656)	Prec@5 18.359 (15.987)
Test: [0/143]	Time 2.256 (2.256)	Loss 4.6924 (4.6924)	Prec@1 7.422 (7.422)	Prec@5 26.953 (26.953)
Test: [10/143]	Time 0.057 (0.343)	Loss 4.7558 (4.9371)	Prec@1 3.516 (3.445)	Prec@5 22.266 (17.294)
Test: [20/143]	Time 0.533 (0.275)	Loss 4.9589 (4.8800)	Prec@1 3.516 (5.562)	Prec@5 20.312 (20.182)
Test: [30/143]	Time 0.181 (0.241)	Loss 5.0391 (4.8897)	Prec@1 0.000 (5.570)	Prec@5 9.375 (19.204)
Test: [40/143]	Time 0.347 (0.227)	Loss 5.1531 (4.8744)	Prec@1 0.781 (5.821)	Prec@5 8.203 (19.360)
Test: [50/143]	Time 0.145 (0.213)	Loss 4.6084 (4.9018)	Prec@1 0.391 (5.070)	Prec@5 30.859 (18.107)
Test: [60/143]	Time 0.207 (0.210)	Loss 5.1743 (4.8860)	Prec@1 1.172 (5.213)	Prec@5 11.328 (19.282)
Test: [70/143]	Time 0.127 (0.204)	Loss 5.1609 (4.8923)	Prec@1 3.906 (5.221)	Prec@5 13.672 (18.976)
Test: [80/143]	Time 0.276 (0.204)	Loss 4.7432 (4.8957)	Prec@1 6.641 (5.305)	Prec@5 25.391 (19.189)
Test: [90/143]	Time 0.276 (0.201)	Loss 4.9196 (4.8856)	Prec@1 5.078 (5.671)	Prec@5 18.750 (19.716)
Test: [100/143]	Time 0.114 (0.198)	Loss 4.5883 (4.8802)	Prec@1 4.297 (5.651)	Prec@5 28.906 (19.903)
Test: [110/143]	Time 0.268 (0.197)	Loss 4.4520 (4.8748)	Prec@1 23.047 (5.824)	Prec@5 33.984 (20.130)
Test: [120/143]	Time 0.116 (0.194)	Loss 4.8176 (4.8627)	Prec@1 1.953 (6.085)	Prec@5 19.531 (20.593)
Test: [130/143]	Time 0.061 (0.192)	Loss 4.3063 (4.8530)	Prec@1 24.219 (6.357)	Prec@5 30.469 (20.796)
Test: [140/143]	Time 0.111 (0.191)	Loss 5.4861 (4.8654)	Prec@1 0.391 (6.231)	Prec@5 1.172 (20.523)
 * Prec@1 6.230 Prec@5 20.518
Epoch: [21][0/7045]	Time 3.015 (3.015)	Data 2.955 (2.955)	Loss 5.0805 (5.0805)	Prec@1 3.125 (3.125)	Prec@5 14.844 (14.844)
Epoch: [21][10/7045]	Time 0.715 (0.469)	Data 0.665 (0.390)	Loss 5.0491 (4.9983)	Prec@1 4.688 (5.291)	Prec@5 15.234 (16.797)
Epoch: [21][20/7045]	Time 0.111 (0.348)	Data 0.052 (0.273)	Loss 4.9925 (5.0126)	Prec@1 1.953 (4.855)	Prec@5 11.719 (15.960)
Epoch: [21][30/7045]	Time 0.608 (0.327)	Data 0.556 (0.252)	Loss 5.0588 (4.9892)	Prec@1 3.516 (4.914)	Prec@5 14.062 (16.255)
Epoch: [21][40/7045]	Time 0.099 (0.302)	Data 0.001 (0.224)	Loss 4.8394 (4.9778)	Prec@1 6.250 (5.002)	Prec@5 19.141 (16.530)
Epoch: [21][50/7045]	Time 0.555 (0.294)	Data 0.504 (0.215)	Loss 4.8966 (4.9796)	Prec@1 5.078 (4.856)	Prec@5 16.797 (16.513)
Epoch: [21][60/7045]	Time 0.102 (0.287)	Data 0.001 (0.208)	Loss 5.1144 (4.9852)	Prec@1 3.125 (4.784)	Prec@5 14.453 (16.317)
Epoch: [21][70/7045]	Time 0.610 (0.280)	Data 0.559 (0.203)	Loss 4.8657 (4.9870)	Prec@1 7.031 (4.864)	Prec@5 18.750 (16.269)
Epoch: [21][80/7045]	Time 0.429 (0.276)	Data 0.378 (0.199)	Loss 5.0325 (4.9952)	Prec@1 3.516 (4.813)	Prec@5 16.797 (16.151)
Epoch: [21][90/7045]	Time 0.327 (0.272)	Data 0.276 (0.196)	Loss 5.0414 (5.0017)	Prec@1 5.078 (4.778)	Prec@5 15.625 (15.998)
Epoch: [21][100/7045]	Time 0.621 (0.271)	Data 0.571 (0.195)	Loss 5.1379 (5.0102)	Prec@1 3.516 (4.711)	Prec@5 12.500 (15.838)
Epoch: [21][110/7045]	Time 0.102 (0.266)	Data 0.050 (0.191)	Loss 5.1816 (5.0193)	Prec@1 4.297 (4.642)	Prec@5 12.891 (15.702)
Epoch: [21][120/7045]	Time 0.714 (0.269)	Data 0.664 (0.194)	Loss 4.9637 (5.0201)	Prec@1 5.859 (4.581)	Prec@5 18.359 (15.670)
Epoch: [21][130/7045]	Time 0.101 (0.265)	Data 0.001 (0.189)	Loss 5.2682 (5.0199)	Prec@1 3.516 (4.553)	Prec@5 10.938 (15.708)
Epoch: [21][140/7045]	Time 0.516 (0.268)	Data 0.459 (0.193)	Loss 5.1043 (5.0216)	Prec@1 4.297 (4.549)	Prec@5 16.016 (15.622)
Epoch: [21][150/7045]	Time 0.206 (0.265)	Data 0.154 (0.191)	Loss 4.9679 (5.0236)	Prec@1 5.078 (4.532)	Prec@5 15.625 (15.571)
Epoch: [21][160/7045]	Time 0.107 (0.274)	Data 0.001 (0.201)	Loss 5.0126 (5.0256)	Prec@1 4.688 (4.535)	Prec@5 17.188 (15.547)
Epoch: [21][170/7045]	Time 0.100 (0.272)	Data 0.001 (0.197)	Loss 4.9510 (5.0255)	Prec@1 3.906 (4.496)	Prec@5 19.922 (15.559)
Epoch: [21][180/7045]	Time 0.108 (0.271)	Data 0.007 (0.196)	Loss 5.0521 (5.0224)	Prec@1 2.734 (4.519)	Prec@5 16.406 (15.653)
Epoch: [21][190/7045]	Time 0.112 (0.268)	Data 0.061 (0.194)	Loss 4.9478 (5.0211)	Prec@1 3.516 (4.526)	Prec@5 16.016 (15.721)
Epoch: [21][200/7045]	Time 0.102 (0.268)	Data 0.001 (0.194)	Loss 5.0683 (5.0207)	Prec@1 5.859 (4.563)	Prec@5 14.062 (15.709)
Epoch: [21][210/7045]	Time 0.167 (0.267)	Data 0.115 (0.194)	Loss 4.9329 (5.0168)	Prec@1 4.688 (4.575)	Prec@5 16.797 (15.758)
Epoch: [21][220/7045]	Time 0.102 (0.266)	Data 0.001 (0.193)	Loss 5.0671 (5.0172)	Prec@1 3.125 (4.541)	Prec@5 16.016 (15.745)
Epoch: [21][230/7045]	Time 0.352 (0.267)	Data 0.301 (0.194)	Loss 4.9680 (5.0155)	Prec@1 5.469 (4.584)	Prec@5 14.844 (15.779)
Epoch: [21][240/7045]	Time 0.108 (0.266)	Data 0.001 (0.193)	Loss 4.9886 (5.0152)	Prec@1 6.641 (4.582)	Prec@5 17.969 (15.794)
Epoch: [21][250/7045]	Time 0.665 (0.266)	Data 0.613 (0.194)	Loss 5.0770 (5.0155)	Prec@1 3.516 (4.605)	Prec@5 13.281 (15.809)
Epoch: [21][260/7045]	Time 0.243 (0.265)	Data 0.193 (0.193)	Loss 4.9744 (5.0150)	Prec@1 5.469 (4.637)	Prec@5 19.141 (15.844)
Epoch: [21][270/7045]	Time 0.431 (0.264)	Data 0.380 (0.193)	Loss 4.9736 (5.0149)	Prec@1 4.297 (4.636)	Prec@5 16.797 (15.859)
Epoch: [21][280/7045]	Time 0.178 (0.264)	Data 0.127 (0.193)	Loss 4.9183 (5.0135)	Prec@1 7.031 (4.628)	Prec@5 19.141 (15.897)
Epoch: [21][290/7045]	Time 0.140 (0.263)	Data 0.088 (0.192)	Loss 4.9527 (5.0130)	Prec@1 5.469 (4.628)	Prec@5 17.188 (15.927)
Epoch: [21][300/7045]	Time 0.107 (0.264)	Data 0.007 (0.194)	Loss 5.0290 (5.0138)	Prec@1 5.469 (4.646)	Prec@5 14.453 (15.926)
Epoch: [21][310/7045]	Time 0.102 (0.262)	Data 0.001 (0.192)	Loss 5.0331 (5.0124)	Prec@1 7.031 (4.665)	Prec@5 13.672 (15.954)
Epoch: [21][320/7045]	Time 0.166 (0.263)	Data 0.115 (0.193)	Loss 4.9965 (5.0135)	Prec@1 5.469 (4.691)	Prec@5 14.453 (15.974)
Epoch: [21][330/7045]	Time 0.102 (0.262)	Data 0.001 (0.190)	Loss 5.2319 (5.0145)	Prec@1 4.688 (4.683)	Prec@5 12.109 (15.953)
Epoch: [21][340/7045]	Time 0.099 (0.262)	Data 0.001 (0.190)	Loss 5.0789 (5.0144)	Prec@1 4.297 (4.681)	Prec@5 15.625 (15.950)
Epoch: [21][350/7045]	Time 0.188 (0.261)	Data 0.138 (0.189)	Loss 5.0832 (5.0143)	Prec@1 4.297 (4.681)	Prec@5 16.016 (15.915)
Epoch: [21][360/7045]	Time 0.107 (0.261)	Data 0.005 (0.189)	Loss 5.1217 (5.0143)	Prec@1 4.297 (4.693)	Prec@5 13.281 (15.926)
Epoch: [21][370/7045]	Time 0.350 (0.260)	Data 0.300 (0.189)	Loss 5.0003 (5.0142)	Prec@1 3.125 (4.677)	Prec@5 17.188 (15.916)
Epoch: [21][380/7045]	Time 0.101 (0.259)	Data 0.004 (0.188)	Loss 4.8545 (5.0125)	Prec@1 5.469 (4.692)	Prec@5 18.359 (15.959)
Epoch: [21][390/7045]	Time 0.328 (0.260)	Data 0.271 (0.189)	Loss 4.9844 (5.0113)	Prec@1 3.125 (4.694)	Prec@5 15.625 (15.977)
Epoch: [21][400/7045]	Time 0.228 (0.259)	Data 0.176 (0.188)	Loss 4.9565 (5.0095)	Prec@1 4.688 (4.707)	Prec@5 14.453 (16.005)
Epoch: [21][410/7045]	Time 0.270 (0.259)	Data 0.218 (0.188)	Loss 4.9634 (5.0073)	Prec@1 5.078 (4.725)	Prec@5 18.750 (16.039)
Epoch: [21][420/7045]	Time 0.160 (0.259)	Data 0.109 (0.188)	Loss 5.0529 (5.0066)	Prec@1 3.516 (4.724)	Prec@5 13.281 (16.039)
Epoch: [21][430/7045]	Time 0.386 (0.259)	Data 0.335 (0.188)	Loss 5.0289 (5.0058)	Prec@1 5.469 (4.717)	Prec@5 18.359 (16.072)
Epoch: [21][440/7045]	Time 0.155 (0.259)	Data 0.103 (0.188)	Loss 4.9264 (5.0051)	Prec@1 5.078 (4.726)	Prec@5 20.312 (16.092)
Epoch: [21][450/7045]	Time 0.106 (0.258)	Data 0.054 (0.188)	Loss 4.9739 (5.0059)	Prec@1 6.641 (4.728)	Prec@5 18.750 (16.101)
Epoch: [21][460/7045]	Time 0.560 (0.259)	Data 0.509 (0.189)	Loss 4.9889 (5.0060)	Prec@1 4.297 (4.726)	Prec@5 16.406 (16.092)
Epoch: [21][470/7045]	Time 0.217 (0.259)	Data 0.154 (0.189)	Loss 4.8955 (5.0051)	Prec@1 4.688 (4.710)	Prec@5 12.891 (16.088)
Epoch: [21][480/7045]	Time 0.224 (0.259)	Data 0.173 (0.189)	Loss 5.0289 (5.0046)	Prec@1 2.344 (4.704)	Prec@5 11.719 (16.093)
Epoch: [21][490/7045]	Time 0.399 (0.259)	Data 0.347 (0.190)	Loss 4.9708 (5.0040)	Prec@1 5.859 (4.703)	Prec@5 16.406 (16.110)
Epoch: [21][500/7045]	Time 0.124 (0.258)	Data 0.073 (0.189)	Loss 4.9854 (5.0044)	Prec@1 2.734 (4.699)	Prec@5 13.672 (16.101)
Epoch: [21][510/7045]	Time 0.490 (0.258)	Data 0.439 (0.189)	Loss 5.1865 (5.0050)	Prec@1 3.906 (4.695)	Prec@5 12.109 (16.084)
Epoch: [21][520/7045]	Time 0.123 (0.258)	Data 0.071 (0.189)	Loss 5.0429 (5.0052)	Prec@1 2.734 (4.685)	Prec@5 15.625 (16.088)
Epoch: [21][530/7045]	Time 0.101 (0.258)	Data 0.010 (0.189)	Loss 5.0647 (5.0058)	Prec@1 5.469 (4.693)	Prec@5 15.234 (16.091)
Epoch: [21][540/7045]	Time 0.104 (0.257)	Data 0.053 (0.188)	Loss 5.0397 (5.0055)	Prec@1 3.906 (4.698)	Prec@5 15.625 (16.115)
Epoch: [21][550/7045]	Time 0.100 (0.257)	Data 0.048 (0.188)	Loss 4.9099 (5.0049)	Prec@1 5.469 (4.700)	Prec@5 14.453 (16.111)
Epoch: [21][560/7045]	Time 0.330 (0.257)	Data 0.280 (0.188)	Loss 5.0263 (5.0043)	Prec@1 3.516 (4.706)	Prec@5 13.672 (16.114)
Epoch: [21][570/7045]	Time 0.102 (0.257)	Data 0.005 (0.188)	Loss 5.0959 (5.0036)	Prec@1 2.344 (4.718)	Prec@5 15.234 (16.152)
Epoch: [21][580/7045]	Time 0.568 (0.257)	Data 0.517 (0.189)	Loss 5.2761 (5.0033)	Prec@1 2.734 (4.724)	Prec@5 11.719 (16.153)
Epoch: [21][590/7045]	Time 0.215 (0.257)	Data 0.157 (0.188)	Loss 5.0372 (5.0038)	Prec@1 4.297 (4.725)	Prec@5 14.844 (16.164)
Epoch: [21][600/7045]	Time 0.548 (0.257)	Data 0.496 (0.188)	Loss 4.9998 (5.0041)	Prec@1 7.812 (4.727)	Prec@5 15.625 (16.153)
Epoch: [21][610/7045]	Time 1.075 (0.258)	Data 1.017 (0.189)	Loss 5.1703 (5.0049)	Prec@1 4.297 (4.719)	Prec@5 14.844 (16.142)
Epoch: [21][620/7045]	Time 0.115 (0.257)	Data 0.063 (0.189)	Loss 5.0853 (5.0066)	Prec@1 6.250 (4.713)	Prec@5 13.281 (16.110)
Epoch: [21][630/7045]	Time 0.592 (0.257)	Data 0.541 (0.189)	Loss 4.9625 (5.0074)	Prec@1 5.078 (4.718)	Prec@5 14.844 (16.086)
Epoch: [21][640/7045]	Time 0.390 (0.257)	Data 0.336 (0.188)	Loss 5.0004 (5.0076)	Prec@1 4.688 (4.709)	Prec@5 15.234 (16.092)
Epoch: [21][650/7045]	Time 0.173 (0.256)	Data 0.119 (0.188)	Loss 4.8570 (5.0077)	Prec@1 5.469 (4.699)	Prec@5 16.406 (16.081)
Epoch: [21][660/7045]	Time 0.403 (0.256)	Data 0.352 (0.188)	Loss 5.0472 (5.0074)	Prec@1 5.078 (4.706)	Prec@5 15.234 (16.105)
Epoch: [21][670/7045]	Time 0.103 (0.256)	Data 0.008 (0.188)	Loss 5.0904 (5.0068)	Prec@1 6.250 (4.711)	Prec@5 14.844 (16.121)
Epoch: [21][680/7045]	Time 0.609 (0.256)	Data 0.547 (0.188)	Loss 4.9999 (5.0070)	Prec@1 4.688 (4.713)	Prec@5 16.797 (16.115)
Epoch: [21][690/7045]	Time 0.112 (0.256)	Data 0.060 (0.188)	Loss 4.8598 (5.0072)	Prec@1 4.297 (4.713)	Prec@5 18.359 (16.106)
Epoch: [21][700/7045]	Time 0.616 (0.256)	Data 0.559 (0.188)	Loss 4.9030 (5.0072)	Prec@1 5.469 (4.713)	Prec@5 20.312 (16.114)
Epoch: [21][710/7045]	Time 0.217 (0.256)	Data 0.166 (0.188)	Loss 5.0071 (5.0077)	Prec@1 5.859 (4.705)	Prec@5 16.406 (16.107)
Epoch: [21][720/7045]	Time 0.469 (0.256)	Data 0.417 (0.188)	Loss 4.9825 (5.0077)	Prec@1 5.078 (4.707)	Prec@5 15.625 (16.097)
Epoch: [21][730/7045]	Time 0.102 (0.255)	Data 0.007 (0.188)	Loss 4.9608 (5.0085)	Prec@1 3.906 (4.698)	Prec@5 17.578 (16.081)
Epoch: [21][740/7045]	Time 0.568 (0.255)	Data 0.517 (0.188)	Loss 5.0414 (5.0092)	Prec@1 3.516 (4.700)	Prec@5 15.625 (16.077)
Epoch: [21][750/7045]	Time 0.147 (0.255)	Data 0.095 (0.188)	Loss 5.0162 (5.0099)	Prec@1 3.125 (4.691)	Prec@5 13.281 (16.049)
Epoch: [21][760/7045]	Time 0.406 (0.256)	Data 0.355 (0.189)	Loss 4.9075 (5.0094)	Prec@1 4.297 (4.688)	Prec@5 16.406 (16.056)
Epoch: [21][770/7045]	Time 0.475 (0.256)	Data 0.423 (0.189)	Loss 5.1453 (5.0096)	Prec@1 2.344 (4.688)	Prec@5 12.891 (16.050)
Epoch: [21][780/7045]	Time 0.195 (0.255)	Data 0.143 (0.189)	Loss 5.0396 (5.0095)	Prec@1 4.688 (4.692)	Prec@5 17.578 (16.059)
Epoch: [21][790/7045]	Time 0.400 (0.256)	Data 0.348 (0.189)	Loss 5.0535 (5.0102)	Prec@1 2.734 (4.687)	Prec@5 16.797 (16.054)
Epoch: [21][800/7045]	Time 0.108 (0.255)	Data 0.005 (0.188)	Loss 5.0071 (5.0100)	Prec@1 6.641 (4.687)	Prec@5 17.188 (16.054)
Epoch: [21][810/7045]	Time 0.717 (0.256)	Data 0.664 (0.189)	Loss 5.0080 (5.0102)	Prec@1 3.125 (4.681)	Prec@5 15.234 (16.058)
Epoch: [21][820/7045]	Time 0.118 (0.255)	Data 0.056 (0.188)	Loss 5.0317 (5.0099)	Prec@1 5.078 (4.681)	Prec@5 16.406 (16.068)
Epoch: [21][830/7045]	Time 0.519 (0.255)	Data 0.467 (0.188)	Loss 5.0085 (5.0098)	Prec@1 4.297 (4.676)	Prec@5 16.016 (16.070)
Epoch: [21][840/7045]	Time 0.147 (0.255)	Data 0.096 (0.188)	Loss 5.0467 (5.0098)	Prec@1 4.688 (4.671)	Prec@5 14.844 (16.072)
Epoch: [21][850/7045]	Time 0.344 (0.255)	Data 0.292 (0.188)	Loss 4.9520 (5.0096)	Prec@1 3.906 (4.670)	Prec@5 18.359 (16.072)
Epoch: [21][860/7045]	Time 0.198 (0.255)	Data 0.146 (0.188)	Loss 4.9835 (5.0094)	Prec@1 5.078 (4.672)	Prec@5 13.281 (16.072)
Epoch: [21][870/7045]	Time 0.101 (0.255)	Data 0.008 (0.188)	Loss 5.0960 (5.0093)	Prec@1 5.469 (4.680)	Prec@5 14.844 (16.081)
Epoch: [21][880/7045]	Time 0.298 (0.255)	Data 0.248 (0.188)	Loss 5.0649 (5.0097)	Prec@1 3.906 (4.669)	Prec@5 16.406 (16.078)
Epoch: [21][890/7045]	Time 0.346 (0.255)	Data 0.295 (0.188)	Loss 5.1260 (5.0103)	Prec@1 2.734 (4.662)	Prec@5 12.891 (16.057)
Epoch: [21][900/7045]	Time 0.100 (0.254)	Data 0.001 (0.188)	Loss 5.0294 (5.0102)	Prec@1 3.516 (4.672)	Prec@5 16.016 (16.075)
Epoch: [21][910/7045]	Time 1.244 (0.255)	Data 1.192 (0.189)	Loss 5.1197 (5.0104)	Prec@1 3.516 (4.668)	Prec@5 15.625 (16.076)
Epoch: [21][920/7045]	Time 0.100 (0.255)	Data 0.002 (0.188)	Loss 4.9807 (5.0108)	Prec@1 5.859 (4.661)	Prec@5 21.875 (16.082)
Epoch: [21][930/7045]	Time 0.434 (0.255)	Data 0.381 (0.188)	Loss 5.0743 (5.0111)	Prec@1 3.906 (4.661)	Prec@5 14.453 (16.073)
Epoch: [21][940/7045]	Time 0.496 (0.255)	Data 0.446 (0.189)	Loss 5.0468 (5.0122)	Prec@1 4.688 (4.649)	Prec@5 12.891 (16.052)
Epoch: [21][950/7045]	Time 0.107 (0.255)	Data 0.048 (0.188)	Loss 5.0631 (5.0123)	Prec@1 3.516 (4.641)	Prec@5 13.281 (16.042)
Epoch: [21][960/7045]	Time 0.485 (0.255)	Data 0.434 (0.188)	Loss 5.1390 (5.0127)	Prec@1 3.125 (4.643)	Prec@5 9.375 (16.036)
Epoch: [21][970/7045]	Time 0.101 (0.255)	Data 0.004 (0.188)	Loss 5.0629 (5.0130)	Prec@1 2.734 (4.636)	Prec@5 12.109 (16.026)
Epoch: [21][980/7045]	Time 0.221 (0.254)	Data 0.170 (0.188)	Loss 5.0235 (5.0126)	Prec@1 3.125 (4.641)	Prec@5 13.672 (16.032)
Epoch: [21][990/7045]	Time 0.099 (0.255)	Data 0.001 (0.188)	Loss 5.0458 (5.0123)	Prec@1 1.953 (4.639)	Prec@5 16.016 (16.035)
Epoch: [21][1000/7045]	Time 0.107 (0.254)	Data 0.056 (0.188)	Loss 4.8963 (5.0114)	Prec@1 6.250 (4.644)	Prec@5 17.578 (16.056)
Epoch: [21][1010/7045]	Time 0.109 (0.255)	Data 0.003 (0.188)	Loss 4.9283 (5.0113)	Prec@1 6.250 (4.639)	Prec@5 17.578 (16.057)
Epoch: [21][1020/7045]	Time 0.101 (0.254)	Data 0.001 (0.188)	Loss 4.9703 (5.0110)	Prec@1 5.469 (4.641)	Prec@5 17.188 (16.060)
Epoch: [21][1030/7045]	Time 0.108 (0.254)	Data 0.015 (0.188)	Loss 5.0045 (5.0106)	Prec@1 4.688 (4.642)	Prec@5 16.406 (16.060)
Epoch: [21][1040/7045]	Time 0.103 (0.254)	Data 0.010 (0.187)	Loss 4.8973 (5.0105)	Prec@1 4.688 (4.640)	Prec@5 18.750 (16.060)
Epoch: [21][1050/7045]	Time 0.233 (0.254)	Data 0.181 (0.187)	Loss 5.0914 (5.0096)	Prec@1 3.516 (4.646)	Prec@5 12.891 (16.069)
Epoch: [21][1060/7045]	Time 0.102 (0.254)	Data 0.001 (0.187)	Loss 4.9914 (5.0094)	Prec@1 5.469 (4.650)	Prec@5 16.797 (16.077)
Epoch: [21][1070/7045]	Time 0.878 (0.255)	Data 0.826 (0.188)	Loss 4.9333 (5.0091)	Prec@1 5.859 (4.657)	Prec@5 14.844 (16.088)
Epoch: [21][1080/7045]	Time 0.101 (0.255)	Data 0.036 (0.188)	Loss 5.0256 (5.0092)	Prec@1 5.859 (4.653)	Prec@5 16.797 (16.090)
Epoch: [21][1090/7045]	Time 0.113 (0.254)	Data 0.060 (0.188)	Loss 4.9612 (5.0084)	Prec@1 7.031 (4.660)	Prec@5 17.969 (16.110)
Epoch: [21][1100/7045]	Time 0.384 (0.255)	Data 0.326 (0.188)	Loss 4.9671 (5.0080)	Prec@1 6.250 (4.665)	Prec@5 19.531 (16.121)
Epoch: [21][1110/7045]	Time 0.102 (0.255)	Data 0.001 (0.188)	Loss 4.9466 (5.0078)	Prec@1 5.078 (4.666)	Prec@5 16.797 (16.119)
Epoch: [21][1120/7045]	Time 0.530 (0.255)	Data 0.474 (0.188)	Loss 4.9743 (5.0077)	Prec@1 4.297 (4.662)	Prec@5 16.406 (16.128)
Epoch: [21][1130/7045]	Time 0.119 (0.254)	Data 0.060 (0.187)	Loss 5.0140 (5.0072)	Prec@1 5.469 (4.668)	Prec@5 17.969 (16.141)
Epoch: [21][1140/7045]	Time 0.716 (0.255)	Data 0.665 (0.188)	Loss 5.0284 (5.0071)	Prec@1 5.078 (4.670)	Prec@5 12.891 (16.140)
Epoch: [21][1150/7045]	Time 0.111 (0.254)	Data 0.001 (0.187)	Loss 4.8555 (5.0063)	Prec@1 7.031 (4.676)	Prec@5 18.359 (16.158)
Epoch: [21][1160/7045]	Time 0.574 (0.254)	Data 0.518 (0.187)	Loss 4.9438 (5.0057)	Prec@1 3.125 (4.674)	Prec@5 16.016 (16.168)
Epoch: [21][1170/7045]	Time 0.195 (0.254)	Data 0.143 (0.187)	Loss 5.0990 (5.0060)	Prec@1 2.344 (4.670)	Prec@5 12.891 (16.171)
Epoch: [21][1180/7045]	Time 0.321 (0.254)	Data 0.270 (0.187)	Loss 4.8492 (5.0059)	Prec@1 7.422 (4.672)	Prec@5 20.703 (16.169)
Epoch: [21][1190/7045]	Time 0.526 (0.254)	Data 0.469 (0.188)	Loss 4.8962 (5.0056)	Prec@1 4.688 (4.673)	Prec@5 17.578 (16.174)
Epoch: [21][1200/7045]	Time 0.108 (0.254)	Data 0.001 (0.187)	Loss 4.8865 (5.0053)	Prec@1 4.297 (4.674)	Prec@5 19.531 (16.178)
Epoch: [21][1210/7045]	Time 0.517 (0.254)	Data 0.465 (0.187)	Loss 5.0331 (5.0051)	Prec@1 7.031 (4.677)	Prec@5 16.406 (16.188)
Epoch: [21][1220/7045]	Time 0.109 (0.254)	Data 0.024 (0.187)	Loss 4.9766 (5.0050)	Prec@1 2.734 (4.679)	Prec@5 17.969 (16.195)
Epoch: [21][1230/7045]	Time 0.208 (0.254)	Data 0.157 (0.188)	Loss 5.0269 (5.0049)	Prec@1 5.859 (4.678)	Prec@5 14.844 (16.193)
Epoch: [21][1240/7045]	Time 0.193 (0.255)	Data 0.142 (0.188)	Loss 5.1438 (5.0052)	Prec@1 5.469 (4.675)	Prec@5 16.016 (16.176)
Epoch: [21][1250/7045]	Time 0.101 (0.254)	Data 0.001 (0.188)	Loss 4.9735 (5.0053)	Prec@1 5.469 (4.674)	Prec@5 15.625 (16.172)
Epoch: [21][1260/7045]	Time 0.196 (0.255)	Data 0.140 (0.188)	Loss 4.9562 (5.0052)	Prec@1 6.250 (4.671)	Prec@5 16.406 (16.176)
Epoch: [21][1270/7045]	Time 0.101 (0.254)	Data 0.001 (0.188)	Loss 4.7833 (5.0048)	Prec@1 6.250 (4.676)	Prec@5 21.094 (16.177)
Epoch: [21][1280/7045]	Time 0.232 (0.255)	Data 0.181 (0.188)	Loss 5.0649 (5.0043)	Prec@1 6.250 (4.684)	Prec@5 16.016 (16.185)
Epoch: [21][1290/7045]	Time 0.100 (0.254)	Data 0.001 (0.188)	Loss 4.9682 (5.0039)	Prec@1 5.469 (4.688)	Prec@5 20.312 (16.197)
Epoch: [21][1300/7045]	Time 0.446 (0.255)	Data 0.393 (0.188)	Loss 5.1374 (5.0039)	Prec@1 3.516 (4.686)	Prec@5 12.500 (16.191)
Epoch: [21][1310/7045]	Time 0.101 (0.254)	Data 0.050 (0.187)	Loss 4.9898 (5.0035)	Prec@1 4.297 (4.684)	Prec@5 16.406 (16.201)
Epoch: [21][1320/7045]	Time 0.575 (0.254)	Data 0.518 (0.188)	Loss 4.8739 (5.0030)	Prec@1 7.812 (4.686)	Prec@5 16.406 (16.201)
Epoch: [21][1330/7045]	Time 0.098 (0.254)	Data 0.001 (0.187)	Loss 4.8970 (5.0028)	Prec@1 6.250 (4.687)	Prec@5 17.969 (16.204)
Epoch: [21][1340/7045]	Time 0.624 (0.254)	Data 0.572 (0.188)	Loss 5.0640 (5.0027)	Prec@1 3.125 (4.686)	Prec@5 13.672 (16.206)
Epoch: [21][1350/7045]	Time 0.181 (0.254)	Data 0.129 (0.187)	Loss 4.8848 (5.0027)	Prec@1 3.516 (4.687)	Prec@5 16.016 (16.210)
Epoch: [21][1360/7045]	Time 0.545 (0.254)	Data 0.492 (0.188)	Loss 5.0246 (5.0031)	Prec@1 5.078 (4.685)	Prec@5 15.625 (16.206)
Epoch: [21][1370/7045]	Time 0.330 (0.254)	Data 0.278 (0.187)	Loss 4.8537 (5.0029)	Prec@1 7.031 (4.690)	Prec@5 17.578 (16.215)
Epoch: [21][1380/7045]	Time 0.443 (0.254)	Data 0.392 (0.188)	Loss 5.0010 (5.0026)	Prec@1 5.469 (4.689)	Prec@5 16.016 (16.220)
Epoch: [21][1390/7045]	Time 0.305 (0.255)	Data 0.255 (0.188)	Loss 5.0541 (5.0027)	Prec@1 3.125 (4.690)	Prec@5 14.844 (16.220)
Epoch: [21][1400/7045]	Time 0.104 (0.255)	Data 0.053 (0.188)	Loss 4.9427 (5.0030)	Prec@1 6.641 (4.691)	Prec@5 17.578 (16.220)
Epoch: [21][1410/7045]	Time 0.280 (0.255)	Data 0.230 (0.188)	Loss 5.1306 (5.0027)	Prec@1 2.344 (4.691)	Prec@5 17.188 (16.225)
Epoch: [21][1420/7045]	Time 0.385 (0.255)	Data 0.334 (0.188)	Loss 5.1108 (5.0029)	Prec@1 4.297 (4.691)	Prec@5 12.500 (16.219)
Epoch: [21][1430/7045]	Time 0.104 (0.255)	Data 0.012 (0.188)	Loss 4.8325 (5.0033)	Prec@1 5.078 (4.691)	Prec@5 19.531 (16.212)
Epoch: [21][1440/7045]	Time 0.102 (0.255)	Data 0.010 (0.188)	Loss 5.0600 (5.0034)	Prec@1 4.688 (4.692)	Prec@5 17.578 (16.209)
Epoch: [21][1450/7045]	Time 0.227 (0.255)	Data 0.169 (0.188)	Loss 4.9459 (5.0035)	Prec@1 4.297 (4.694)	Prec@5 16.016 (16.207)
Epoch: [21][1460/7045]	Time 0.102 (0.255)	Data 0.001 (0.188)	Loss 4.9264 (5.0029)	Prec@1 7.031 (4.697)	Prec@5 17.969 (16.217)
Epoch: [21][1470/7045]	Time 0.265 (0.255)	Data 0.212 (0.188)	Loss 4.8369 (5.0023)	Prec@1 7.031 (4.701)	Prec@5 16.406 (16.222)
Epoch: [21][1480/7045]	Time 0.162 (0.255)	Data 0.112 (0.188)	Loss 5.0573 (5.0025)	Prec@1 3.125 (4.697)	Prec@5 15.234 (16.215)
Epoch: [21][1490/7045]	Time 0.110 (0.255)	Data 0.001 (0.188)	Loss 5.0083 (5.0023)	Prec@1 5.859 (4.701)	Prec@5 17.969 (16.221)
Epoch: [21][1500/7045]	Time 0.441 (0.255)	Data 0.390 (0.188)	Loss 4.9767 (5.0025)	Prec@1 4.688 (4.704)	Prec@5 16.406 (16.221)
Epoch: [21][1510/7045]	Time 0.259 (0.254)	Data 0.207 (0.188)	Loss 4.7976 (5.0026)	Prec@1 6.250 (4.707)	Prec@5 21.094 (16.220)
Epoch: [21][1520/7045]	Time 0.277 (0.255)	Data 0.226 (0.188)	Loss 4.9535 (5.0027)	Prec@1 5.469 (4.709)	Prec@5 16.797 (16.218)
Epoch: [21][1530/7045]	Time 0.102 (0.254)	Data 0.001 (0.188)	Loss 4.9002 (5.0025)	Prec@1 6.250 (4.708)	Prec@5 14.453 (16.219)
Epoch: [21][1540/7045]	Time 0.243 (0.255)	Data 0.187 (0.188)	Loss 5.0113 (5.0024)	Prec@1 7.031 (4.706)	Prec@5 18.359 (16.216)
Epoch: [21][1550/7045]	Time 0.197 (0.254)	Data 0.146 (0.188)	Loss 4.8489 (5.0022)	Prec@1 7.031 (4.712)	Prec@5 20.312 (16.220)
Epoch: [21][1560/7045]	Time 0.102 (0.254)	Data 0.012 (0.188)	Loss 5.1464 (5.0026)	Prec@1 3.125 (4.709)	Prec@5 10.156 (16.209)
Epoch: [21][1570/7045]	Time 0.385 (0.255)	Data 0.334 (0.189)	Loss 5.0609 (5.0030)	Prec@1 3.125 (4.704)	Prec@5 15.625 (16.199)
Epoch: [21][1580/7045]	Time 0.225 (0.255)	Data 0.173 (0.189)	Loss 4.9131 (5.0029)	Prec@1 4.297 (4.708)	Prec@5 17.188 (16.205)
Epoch: [21][1590/7045]	Time 0.273 (0.255)	Data 0.222 (0.189)	Loss 4.9719 (5.0027)	Prec@1 5.469 (4.709)	Prec@5 16.016 (16.209)
Epoch: [21][1600/7045]	Time 0.385 (0.255)	Data 0.334 (0.189)	Loss 5.1364 (5.0029)	Prec@1 3.516 (4.709)	Prec@5 11.719 (16.208)
Epoch: [21][1610/7045]	Time 0.110 (0.255)	Data 0.059 (0.189)	Loss 5.0248 (5.0030)	Prec@1 4.297 (4.709)	Prec@5 17.969 (16.211)
Epoch: [21][1620/7045]	Time 0.217 (0.254)	Data 0.164 (0.189)	Loss 5.0467 (5.0032)	Prec@1 5.859 (4.708)	Prec@5 14.062 (16.200)
Epoch: [21][1630/7045]	Time 0.382 (0.255)	Data 0.330 (0.189)	Loss 5.1226 (5.0039)	Prec@1 3.906 (4.706)	Prec@5 12.500 (16.188)
Epoch: [21][1640/7045]	Time 0.101 (0.254)	Data 0.001 (0.189)	Loss 5.0041 (5.0043)	Prec@1 4.297 (4.711)	Prec@5 16.406 (16.187)
Epoch: [21][1650/7045]	Time 0.160 (0.254)	Data 0.109 (0.189)	Loss 4.9399 (5.0043)	Prec@1 3.516 (4.710)	Prec@5 12.500 (16.186)
Epoch: [21][1660/7045]	Time 0.161 (0.254)	Data 0.109 (0.189)	Loss 4.9678 (5.0041)	Prec@1 5.469 (4.717)	Prec@5 16.797 (16.195)
Epoch: [21][1670/7045]	Time 0.144 (0.254)	Data 0.091 (0.189)	Loss 4.9524 (5.0039)	Prec@1 5.859 (4.721)	Prec@5 19.141 (16.200)
Epoch: [21][1680/7045]	Time 0.288 (0.255)	Data 0.237 (0.189)	Loss 5.0848 (5.0038)	Prec@1 5.078 (4.726)	Prec@5 14.062 (16.202)
Epoch: [21][1690/7045]	Time 0.101 (0.254)	Data 0.005 (0.189)	Loss 5.1982 (5.0041)	Prec@1 4.297 (4.724)	Prec@5 12.109 (16.193)
Epoch: [21][1700/7045]	Time 0.335 (0.254)	Data 0.283 (0.189)	Loss 4.8629 (5.0039)	Prec@1 7.422 (4.727)	Prec@5 23.047 (16.196)
Epoch: [21][1710/7045]	Time 0.120 (0.254)	Data 0.068 (0.189)	Loss 4.9733 (5.0038)	Prec@1 6.641 (4.725)	Prec@5 16.797 (16.193)
Epoch: [21][1720/7045]	Time 0.385 (0.254)	Data 0.334 (0.189)	Loss 5.1133 (5.0040)	Prec@1 2.734 (4.724)	Prec@5 14.062 (16.192)
Epoch: [21][1730/7045]	Time 0.398 (0.254)	Data 0.342 (0.189)	Loss 5.0695 (5.0038)	Prec@1 6.250 (4.728)	Prec@5 18.359 (16.199)
Epoch: [21][1740/7045]	Time 0.309 (0.254)	Data 0.258 (0.189)	Loss 5.0252 (5.0035)	Prec@1 3.906 (4.726)	Prec@5 13.672 (16.201)
Epoch: [21][1750/7045]	Time 0.302 (0.254)	Data 0.245 (0.189)	Loss 5.0556 (5.0036)	Prec@1 3.125 (4.724)	Prec@5 14.844 (16.195)
Epoch: [21][1760/7045]	Time 0.117 (0.254)	Data 0.065 (0.189)	Loss 4.8716 (5.0040)	Prec@1 6.250 (4.727)	Prec@5 19.922 (16.194)
Epoch: [21][1770/7045]	Time 0.156 (0.254)	Data 0.105 (0.189)	Loss 5.0219 (5.0041)	Prec@1 4.688 (4.733)	Prec@5 13.672 (16.198)
Epoch: [21][1780/7045]	Time 0.253 (0.254)	Data 0.202 (0.189)	Loss 5.0645 (5.0044)	Prec@1 5.078 (4.732)	Prec@5 16.016 (16.194)
Epoch: [21][1790/7045]	Time 0.118 (0.254)	Data 0.061 (0.189)	Loss 4.9264 (5.0043)	Prec@1 4.688 (4.735)	Prec@5 15.625 (16.197)
Epoch: [21][1800/7045]	Time 0.265 (0.254)	Data 0.214 (0.189)	Loss 4.9169 (5.0043)	Prec@1 4.297 (4.735)	Prec@5 15.234 (16.193)
Epoch: [21][1810/7045]	Time 0.218 (0.254)	Data 0.167 (0.189)	Loss 4.9872 (5.0044)	Prec@1 4.688 (4.735)	Prec@5 15.234 (16.188)
Epoch: [21][1820/7045]	Time 0.107 (0.254)	Data 0.008 (0.189)	Loss 4.8454 (5.0041)	Prec@1 6.641 (4.739)	Prec@5 18.750 (16.197)
Epoch: [21][1830/7045]	Time 0.165 (0.254)	Data 0.114 (0.189)	Loss 4.9722 (5.0037)	Prec@1 4.688 (4.742)	Prec@5 14.844 (16.200)
Epoch: [21][1840/7045]	Time 0.395 (0.254)	Data 0.345 (0.189)	Loss 5.1378 (5.0037)	Prec@1 2.734 (4.744)	Prec@5 12.109 (16.204)
Epoch: [21][1850/7045]	Time 0.101 (0.254)	Data 0.010 (0.189)	Loss 5.0584 (5.0040)	Prec@1 3.125 (4.741)	Prec@5 14.844 (16.203)
Epoch: [21][1860/7045]	Time 0.634 (0.254)	Data 0.574 (0.189)	Loss 4.9650 (5.0037)	Prec@1 3.516 (4.741)	Prec@5 17.578 (16.212)
Epoch: [21][1870/7045]	Time 0.119 (0.254)	Data 0.068 (0.189)	Loss 5.0873 (5.0038)	Prec@1 3.906 (4.742)	Prec@5 14.453 (16.210)
Epoch: [21][1880/7045]	Time 0.487 (0.254)	Data 0.435 (0.189)	Loss 5.0513 (5.0041)	Prec@1 4.297 (4.739)	Prec@5 16.406 (16.206)
Epoch: [21][1890/7045]	Time 0.117 (0.254)	Data 0.065 (0.189)	Loss 5.0336 (5.0042)	Prec@1 6.641 (4.741)	Prec@5 17.578 (16.204)
Epoch: [21][1900/7045]	Time 0.270 (0.254)	Data 0.218 (0.189)	Loss 4.9620 (5.0042)	Prec@1 5.859 (4.741)	Prec@5 16.016 (16.205)
Epoch: [21][1910/7045]	Time 0.265 (0.254)	Data 0.214 (0.189)	Loss 4.9147 (5.0042)	Prec@1 5.469 (4.742)	Prec@5 16.797 (16.203)
Epoch: [21][1920/7045]	Time 0.109 (0.254)	Data 0.011 (0.189)	Loss 4.8125 (5.0039)	Prec@1 5.859 (4.744)	Prec@5 20.312 (16.209)
Epoch: [21][1930/7045]	Time 0.174 (0.254)	Data 0.124 (0.189)	Loss 4.9800 (5.0037)	Prec@1 4.688 (4.748)	Prec@5 16.016 (16.214)
Epoch: [21][1940/7045]	Time 0.108 (0.254)	Data 0.001 (0.189)	Loss 5.0211 (5.0037)	Prec@1 5.078 (4.746)	Prec@5 15.625 (16.214)
Epoch: [21][1950/7045]	Time 0.102 (0.254)	Data 0.009 (0.189)	Loss 4.9219 (5.0037)	Prec@1 4.688 (4.745)	Prec@5 14.844 (16.211)
Epoch: [21][1960/7045]	Time 0.136 (0.254)	Data 0.084 (0.189)	Loss 5.0506 (5.0037)	Prec@1 4.688 (4.743)	Prec@5 15.625 (16.208)
Epoch: [21][1970/7045]	Time 0.373 (0.254)	Data 0.323 (0.189)	Loss 4.9715 (5.0036)	Prec@1 5.078 (4.743)	Prec@5 16.406 (16.214)
Epoch: [21][1980/7045]	Time 0.253 (0.254)	Data 0.202 (0.189)	Loss 4.9696 (5.0037)	Prec@1 5.078 (4.742)	Prec@5 17.578 (16.213)
Epoch: [21][1990/7045]	Time 0.485 (0.254)	Data 0.433 (0.189)	Loss 4.9687 (5.0036)	Prec@1 2.344 (4.741)	Prec@5 14.844 (16.216)
Epoch: [21][2000/7045]	Time 0.150 (0.254)	Data 0.098 (0.189)	Loss 5.2084 (5.0041)	Prec@1 2.734 (4.738)	Prec@5 14.844 (16.210)
Epoch: [21][2010/7045]	Time 0.120 (0.254)	Data 0.068 (0.189)	Loss 5.1179 (5.0045)	Prec@1 3.516 (4.734)	Prec@5 13.672 (16.199)
Epoch: [21][2020/7045]	Time 0.131 (0.254)	Data 0.079 (0.189)	Loss 5.1094 (5.0048)	Prec@1 4.688 (4.732)	Prec@5 16.406 (16.191)
Epoch: [21][2030/7045]	Time 0.283 (0.254)	Data 0.224 (0.189)	Loss 5.0374 (5.0048)	Prec@1 6.250 (4.732)	Prec@5 14.062 (16.187)
Epoch: [21][2040/7045]	Time 0.348 (0.254)	Data 0.297 (0.189)	Loss 4.9748 (5.0048)	Prec@1 4.297 (4.728)	Prec@5 16.016 (16.185)
Epoch: [21][2050/7045]	Time 0.280 (0.254)	Data 0.230 (0.189)	Loss 4.8518 (5.0044)	Prec@1 7.031 (4.731)	Prec@5 17.188 (16.186)
Epoch: [21][2060/7045]	Time 0.407 (0.254)	Data 0.348 (0.189)	Loss 4.8724 (5.0040)	Prec@1 4.688 (4.734)	Prec@5 14.844 (16.189)
Epoch: [21][2070/7045]	Time 0.264 (0.254)	Data 0.213 (0.189)	Loss 4.8188 (5.0036)	Prec@1 8.203 (4.740)	Prec@5 17.969 (16.197)
Epoch: [21][2080/7045]	Time 0.105 (0.254)	Data 0.053 (0.189)	Loss 5.0196 (5.0039)	Prec@1 5.078 (4.738)	Prec@5 16.797 (16.192)
Epoch: [21][2090/7045]	Time 0.267 (0.253)	Data 0.215 (0.189)	Loss 5.0292 (5.0041)	Prec@1 3.906 (4.739)	Prec@5 14.844 (16.193)
Epoch: [21][2100/7045]	Time 0.202 (0.253)	Data 0.151 (0.189)	Loss 4.9297 (5.0041)	Prec@1 5.859 (4.738)	Prec@5 19.141 (16.192)
Epoch: [21][2110/7045]	Time 0.351 (0.253)	Data 0.301 (0.189)	Loss 4.8745 (5.0040)	Prec@1 4.688 (4.738)	Prec@5 19.141 (16.190)
Epoch: [21][2120/7045]	Time 0.448 (0.254)	Data 0.396 (0.189)	Loss 4.9926 (5.0040)	Prec@1 5.078 (4.742)	Prec@5 15.234 (16.190)
Epoch: [21][2130/7045]	Time 0.410 (0.253)	Data 0.355 (0.189)	Loss 4.8512 (5.0038)	Prec@1 5.859 (4.745)	Prec@5 17.188 (16.193)
Epoch: [21][2140/7045]	Time 0.176 (0.253)	Data 0.124 (0.189)	Loss 5.0075 (5.0035)	Prec@1 5.078 (4.748)	Prec@5 17.578 (16.200)
Epoch: [21][2150/7045]	Time 0.331 (0.253)	Data 0.281 (0.189)	Loss 4.8536 (5.0034)	Prec@1 4.688 (4.750)	Prec@5 16.406 (16.201)
Epoch: [21][2160/7045]	Time 0.162 (0.253)	Data 0.111 (0.189)	Loss 4.9741 (5.0031)	Prec@1 3.906 (4.750)	Prec@5 16.406 (16.204)
Epoch: [21][2170/7045]	Time 0.377 (0.253)	Data 0.325 (0.189)	Loss 5.1307 (5.0033)	Prec@1 3.516 (4.750)	Prec@5 13.281 (16.202)
Epoch: [21][2180/7045]	Time 0.119 (0.253)	Data 0.068 (0.189)	Loss 5.1356 (5.0034)	Prec@1 5.078 (4.752)	Prec@5 13.672 (16.204)
Epoch: [21][2190/7045]	Time 0.451 (0.253)	Data 0.399 (0.189)	Loss 4.8776 (5.0033)	Prec@1 3.906 (4.752)	Prec@5 18.359 (16.207)
Epoch: [21][2200/7045]	Time 0.309 (0.253)	Data 0.258 (0.189)	Loss 5.0616 (5.0035)	Prec@1 5.078 (4.751)	Prec@5 14.844 (16.203)
Epoch: [21][2210/7045]	Time 0.114 (0.253)	Data 0.060 (0.189)	Loss 4.8837 (5.0035)	Prec@1 5.078 (4.749)	Prec@5 17.578 (16.202)
Epoch: [21][2220/7045]	Time 0.378 (0.253)	Data 0.327 (0.189)	Loss 5.0642 (5.0036)	Prec@1 4.297 (4.751)	Prec@5 12.891 (16.203)
Epoch: [21][2230/7045]	Time 0.157 (0.253)	Data 0.106 (0.189)	Loss 4.9926 (5.0035)	Prec@1 4.297 (4.750)	Prec@5 14.062 (16.207)
Epoch: [21][2240/7045]	Time 0.661 (0.253)	Data 0.609 (0.189)	Loss 5.1661 (5.0034)	Prec@1 2.344 (4.751)	Prec@5 10.938 (16.209)
Epoch: [21][2250/7045]	Time 0.101 (0.253)	Data 0.001 (0.189)	Loss 4.9063 (5.0032)	Prec@1 3.906 (4.752)	Prec@5 16.797 (16.210)
Epoch: [21][2260/7045]	Time 0.595 (0.253)	Data 0.537 (0.189)	Loss 5.0642 (5.0032)	Prec@1 4.688 (4.753)	Prec@5 15.234 (16.210)
Epoch: [21][2270/7045]	Time 0.250 (0.253)	Data 0.191 (0.189)	Loss 5.1537 (5.0035)	Prec@1 4.297 (4.750)	Prec@5 12.500 (16.205)
Epoch: [21][2280/7045]	Time 0.311 (0.253)	Data 0.259 (0.189)	Loss 5.0772 (5.0035)	Prec@1 1.953 (4.746)	Prec@5 16.797 (16.201)
Epoch: [21][2290/7045]	Time 0.555 (0.253)	Data 0.498 (0.189)	Loss 5.0818 (5.0037)	Prec@1 3.125 (4.746)	Prec@5 15.625 (16.203)
Epoch: [21][2300/7045]	Time 0.101 (0.253)	Data 0.008 (0.189)	Loss 5.0062 (5.0036)	Prec@1 4.297 (4.748)	Prec@5 13.281 (16.204)
Epoch: [21][2310/7045]	Time 0.630 (0.253)	Data 0.573 (0.189)	Loss 5.0337 (5.0038)	Prec@1 6.250 (4.748)	Prec@5 16.016 (16.199)
Epoch: [21][2320/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 4.7877 (5.0038)	Prec@1 3.906 (4.747)	Prec@5 16.406 (16.197)
Epoch: [21][2330/7045]	Time 0.578 (0.253)	Data 0.526 (0.189)	Loss 5.1715 (5.0044)	Prec@1 3.516 (4.744)	Prec@5 12.891 (16.187)
Epoch: [21][2340/7045]	Time 0.205 (0.253)	Data 0.153 (0.189)	Loss 4.9118 (5.0041)	Prec@1 5.078 (4.746)	Prec@5 13.672 (16.192)
Epoch: [21][2350/7045]	Time 0.423 (0.253)	Data 0.363 (0.189)	Loss 5.0772 (5.0043)	Prec@1 3.906 (4.745)	Prec@5 16.797 (16.190)
Epoch: [21][2360/7045]	Time 0.425 (0.253)	Data 0.365 (0.189)	Loss 5.0027 (5.0046)	Prec@1 4.297 (4.744)	Prec@5 16.016 (16.184)
Epoch: [21][2370/7045]	Time 0.226 (0.253)	Data 0.169 (0.189)	Loss 5.0976 (5.0045)	Prec@1 5.469 (4.746)	Prec@5 12.500 (16.182)
Epoch: [21][2380/7045]	Time 0.527 (0.253)	Data 0.476 (0.189)	Loss 5.0838 (5.0048)	Prec@1 3.125 (4.743)	Prec@5 15.625 (16.177)
Epoch: [21][2390/7045]	Time 0.198 (0.253)	Data 0.147 (0.189)	Loss 5.0250 (5.0052)	Prec@1 4.688 (4.743)	Prec@5 16.016 (16.170)
Epoch: [21][2400/7045]	Time 0.128 (0.253)	Data 0.077 (0.189)	Loss 5.1064 (5.0053)	Prec@1 3.906 (4.744)	Prec@5 16.016 (16.167)
Epoch: [21][2410/7045]	Time 0.153 (0.253)	Data 0.101 (0.189)	Loss 5.0584 (5.0055)	Prec@1 4.688 (4.744)	Prec@5 15.625 (16.168)
Epoch: [21][2420/7045]	Time 0.104 (0.253)	Data 0.053 (0.189)	Loss 4.9235 (5.0057)	Prec@1 5.469 (4.746)	Prec@5 18.359 (16.170)
Epoch: [21][2430/7045]	Time 0.101 (0.253)	Data 0.011 (0.189)	Loss 5.0135 (5.0055)	Prec@1 5.469 (4.747)	Prec@5 16.406 (16.172)
Epoch: [21][2440/7045]	Time 0.432 (0.253)	Data 0.380 (0.189)	Loss 4.9940 (5.0057)	Prec@1 4.297 (4.746)	Prec@5 13.672 (16.167)
Epoch: [21][2450/7045]	Time 0.128 (0.253)	Data 0.077 (0.189)	Loss 4.9734 (5.0057)	Prec@1 5.859 (4.747)	Prec@5 17.188 (16.166)
Epoch: [21][2460/7045]	Time 0.590 (0.253)	Data 0.533 (0.189)	Loss 5.0876 (5.0057)	Prec@1 5.469 (4.748)	Prec@5 17.578 (16.164)
Epoch: [21][2470/7045]	Time 0.101 (0.253)	Data 0.010 (0.189)	Loss 4.9822 (5.0057)	Prec@1 4.297 (4.747)	Prec@5 16.406 (16.164)
Epoch: [21][2480/7045]	Time 0.374 (0.253)	Data 0.323 (0.189)	Loss 5.0012 (5.0057)	Prec@1 6.250 (4.750)	Prec@5 18.750 (16.168)
Epoch: [21][2490/7045]	Time 0.101 (0.253)	Data 0.001 (0.189)	Loss 5.1086 (5.0055)	Prec@1 5.078 (4.754)	Prec@5 15.234 (16.177)
Epoch: [21][2500/7045]	Time 0.364 (0.253)	Data 0.313 (0.189)	Loss 4.9173 (5.0055)	Prec@1 5.859 (4.753)	Prec@5 21.875 (16.178)
Epoch: [21][2510/7045]	Time 0.401 (0.253)	Data 0.349 (0.189)	Loss 4.9384 (5.0052)	Prec@1 6.641 (4.754)	Prec@5 17.578 (16.178)
Epoch: [21][2520/7045]	Time 0.103 (0.253)	Data 0.051 (0.189)	Loss 5.0376 (5.0052)	Prec@1 4.297 (4.754)	Prec@5 16.797 (16.179)
Epoch: [21][2530/7045]	Time 0.714 (0.253)	Data 0.662 (0.189)	Loss 4.9567 (5.0052)	Prec@1 5.469 (4.755)	Prec@5 14.844 (16.177)
Epoch: [21][2540/7045]	Time 0.167 (0.253)	Data 0.116 (0.189)	Loss 5.1922 (5.0055)	Prec@1 4.688 (4.753)	Prec@5 14.844 (16.173)
Epoch: [21][2550/7045]	Time 0.546 (0.253)	Data 0.494 (0.189)	Loss 5.1550 (5.0056)	Prec@1 2.344 (4.752)	Prec@5 12.109 (16.165)
Epoch: [21][2560/7045]	Time 0.189 (0.252)	Data 0.131 (0.188)	Loss 5.0072 (5.0057)	Prec@1 4.688 (4.752)	Prec@5 14.453 (16.169)
Epoch: [21][2570/7045]	Time 0.665 (0.253)	Data 0.613 (0.189)	Loss 5.0374 (5.0057)	Prec@1 3.906 (4.755)	Prec@5 13.672 (16.169)
Epoch: [21][2580/7045]	Time 0.181 (0.252)	Data 0.129 (0.188)	Loss 5.0096 (5.0059)	Prec@1 5.859 (4.752)	Prec@5 14.062 (16.160)
Epoch: [21][2590/7045]	Time 0.495 (0.253)	Data 0.445 (0.188)	Loss 5.0048 (5.0060)	Prec@1 4.688 (4.752)	Prec@5 15.234 (16.158)
Epoch: [21][2600/7045]	Time 0.101 (0.252)	Data 0.001 (0.188)	Loss 4.9398 (5.0058)	Prec@1 7.812 (4.755)	Prec@5 17.969 (16.159)
Epoch: [21][2610/7045]	Time 0.535 (0.252)	Data 0.484 (0.188)	Loss 4.9785 (5.0058)	Prec@1 5.859 (4.758)	Prec@5 16.016 (16.161)
Epoch: [21][2620/7045]	Time 0.108 (0.252)	Data 0.001 (0.188)	Loss 4.9837 (5.0056)	Prec@1 6.641 (4.760)	Prec@5 20.703 (16.164)
Epoch: [21][2630/7045]	Time 0.388 (0.252)	Data 0.337 (0.188)	Loss 5.0338 (5.0056)	Prec@1 5.859 (4.761)	Prec@5 13.281 (16.163)
Epoch: [21][2640/7045]	Time 0.101 (0.252)	Data 0.016 (0.188)	Loss 4.9786 (5.0055)	Prec@1 4.297 (4.763)	Prec@5 14.844 (16.163)
Epoch: [21][2650/7045]	Time 0.111 (0.252)	Data 0.001 (0.188)	Loss 4.7948 (5.0052)	Prec@1 3.516 (4.764)	Prec@5 19.531 (16.168)
Epoch: [21][2660/7045]	Time 0.148 (0.252)	Data 0.095 (0.188)	Loss 4.9348 (5.0049)	Prec@1 7.422 (4.770)	Prec@5 17.578 (16.173)
Epoch: [21][2670/7045]	Time 0.139 (0.252)	Data 0.086 (0.188)	Loss 5.0253 (5.0049)	Prec@1 7.031 (4.770)	Prec@5 17.188 (16.175)
Epoch: [21][2680/7045]	Time 0.101 (0.252)	Data 0.012 (0.188)	Loss 5.1941 (5.0049)	Prec@1 3.125 (4.770)	Prec@5 12.500 (16.172)
Epoch: [21][2690/7045]	Time 0.110 (0.252)	Data 0.058 (0.188)	Loss 5.0295 (5.0054)	Prec@1 5.469 (4.766)	Prec@5 15.234 (16.163)
Epoch: [21][2700/7045]	Time 0.189 (0.252)	Data 0.139 (0.188)	Loss 5.0572 (5.0057)	Prec@1 5.078 (4.765)	Prec@5 11.719 (16.159)
Epoch: [21][2710/7045]	Time 0.101 (0.252)	Data 0.001 (0.188)	Loss 5.1474 (5.0059)	Prec@1 1.562 (4.762)	Prec@5 9.766 (16.154)
Epoch: [21][2720/7045]	Time 0.180 (0.252)	Data 0.130 (0.188)	Loss 5.0991 (5.0060)	Prec@1 3.516 (4.761)	Prec@5 17.578 (16.155)
Epoch: [21][2730/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 5.0349 (5.0061)	Prec@1 5.859 (4.760)	Prec@5 14.844 (16.152)
Epoch: [21][2740/7045]	Time 0.146 (0.252)	Data 0.096 (0.188)	Loss 4.9673 (5.0061)	Prec@1 3.516 (4.759)	Prec@5 17.578 (16.151)
Epoch: [21][2750/7045]	Time 0.156 (0.252)	Data 0.105 (0.188)	Loss 5.0352 (5.0060)	Prec@1 3.516 (4.759)	Prec@5 14.062 (16.154)
Epoch: [21][2760/7045]	Time 0.158 (0.252)	Data 0.107 (0.188)	Loss 5.0531 (5.0058)	Prec@1 3.906 (4.759)	Prec@5 15.234 (16.154)
Epoch: [21][2770/7045]	Time 0.101 (0.252)	Data 0.005 (0.188)	Loss 4.9736 (5.0057)	Prec@1 7.422 (4.759)	Prec@5 20.312 (16.156)
Epoch: [21][2780/7045]	Time 0.135 (0.252)	Data 0.084 (0.188)	Loss 5.1806 (5.0057)	Prec@1 4.297 (4.758)	Prec@5 14.453 (16.156)
Epoch: [21][2790/7045]	Time 0.195 (0.252)	Data 0.143 (0.188)	Loss 5.1402 (5.0058)	Prec@1 5.078 (4.760)	Prec@5 12.891 (16.155)
Epoch: [21][2800/7045]	Time 0.097 (0.252)	Data 0.001 (0.188)	Loss 4.9832 (5.0057)	Prec@1 5.469 (4.763)	Prec@5 14.844 (16.157)
Epoch: [21][2810/7045]	Time 0.195 (0.252)	Data 0.144 (0.188)	Loss 4.9823 (5.0056)	Prec@1 4.297 (4.765)	Prec@5 17.188 (16.161)
Epoch: [21][2820/7045]	Time 0.099 (0.252)	Data 0.047 (0.188)	Loss 4.9652 (5.0055)	Prec@1 6.250 (4.767)	Prec@5 15.625 (16.163)
Epoch: [21][2830/7045]	Time 0.255 (0.252)	Data 0.205 (0.188)	Loss 5.0128 (5.0054)	Prec@1 5.469 (4.766)	Prec@5 19.922 (16.166)
Epoch: [21][2840/7045]	Time 0.106 (0.252)	Data 0.053 (0.188)	Loss 4.9671 (5.0053)	Prec@1 3.516 (4.764)	Prec@5 12.891 (16.168)
Epoch: [21][2850/7045]	Time 0.209 (0.252)	Data 0.156 (0.188)	Loss 4.8809 (5.0051)	Prec@1 4.297 (4.763)	Prec@5 19.141 (16.171)
Epoch: [21][2860/7045]	Time 0.108 (0.252)	Data 0.055 (0.188)	Loss 4.9909 (5.0053)	Prec@1 4.688 (4.761)	Prec@5 17.578 (16.169)
Epoch: [21][2870/7045]	Time 0.114 (0.252)	Data 0.062 (0.188)	Loss 5.0578 (5.0053)	Prec@1 2.734 (4.761)	Prec@5 14.453 (16.169)
Epoch: [21][2880/7045]	Time 0.178 (0.252)	Data 0.118 (0.188)	Loss 5.0433 (5.0052)	Prec@1 5.469 (4.764)	Prec@5 14.453 (16.173)
Epoch: [21][2890/7045]	Time 0.102 (0.252)	Data 0.017 (0.188)	Loss 5.0222 (5.0050)	Prec@1 5.469 (4.764)	Prec@5 16.406 (16.177)
Epoch: [21][2900/7045]	Time 0.125 (0.252)	Data 0.075 (0.188)	Loss 4.9332 (5.0049)	Prec@1 5.859 (4.764)	Prec@5 17.578 (16.173)
Epoch: [21][2910/7045]	Time 0.102 (0.252)	Data 0.045 (0.188)	Loss 4.9898 (5.0048)	Prec@1 4.297 (4.765)	Prec@5 15.625 (16.175)
Epoch: [21][2920/7045]	Time 0.215 (0.252)	Data 0.164 (0.188)	Loss 4.9280 (5.0048)	Prec@1 5.078 (4.765)	Prec@5 15.234 (16.174)
Epoch: [21][2930/7045]	Time 0.151 (0.252)	Data 0.099 (0.188)	Loss 4.9335 (5.0048)	Prec@1 2.734 (4.763)	Prec@5 16.797 (16.173)
Epoch: [21][2940/7045]	Time 0.173 (0.252)	Data 0.123 (0.188)	Loss 5.0853 (5.0049)	Prec@1 3.125 (4.762)	Prec@5 14.062 (16.173)
Epoch: [21][2950/7045]	Time 0.106 (0.252)	Data 0.052 (0.188)	Loss 5.0249 (5.0047)	Prec@1 5.078 (4.763)	Prec@5 18.359 (16.177)
Epoch: [21][2960/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 5.0606 (5.0045)	Prec@1 3.516 (4.765)	Prec@5 12.109 (16.181)
Epoch: [21][2970/7045]	Time 0.177 (0.252)	Data 0.116 (0.188)	Loss 5.1082 (5.0043)	Prec@1 3.516 (4.766)	Prec@5 15.625 (16.186)
Epoch: [21][2980/7045]	Time 0.101 (0.251)	Data 0.045 (0.187)	Loss 5.1021 (5.0043)	Prec@1 5.078 (4.766)	Prec@5 15.234 (16.185)
Epoch: [21][2990/7045]	Time 0.107 (0.252)	Data 0.001 (0.188)	Loss 4.9958 (5.0042)	Prec@1 3.906 (4.766)	Prec@5 15.625 (16.189)
Epoch: [21][3000/7045]	Time 0.101 (0.251)	Data 0.018 (0.187)	Loss 4.9611 (5.0042)	Prec@1 7.031 (4.768)	Prec@5 20.312 (16.191)
Epoch: [21][3010/7045]	Time 0.109 (0.251)	Data 0.016 (0.187)	Loss 4.9830 (5.0041)	Prec@1 5.469 (4.768)	Prec@5 15.234 (16.192)
Epoch: [21][3020/7045]	Time 0.116 (0.251)	Data 0.064 (0.187)	Loss 5.0404 (5.0042)	Prec@1 5.469 (4.768)	Prec@5 15.234 (16.192)
Epoch: [21][3030/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 4.9877 (5.0040)	Prec@1 5.859 (4.770)	Prec@5 18.359 (16.198)
Epoch: [21][3040/7045]	Time 0.133 (0.251)	Data 0.082 (0.187)	Loss 4.9917 (5.0039)	Prec@1 6.250 (4.773)	Prec@5 18.359 (16.202)
Epoch: [21][3050/7045]	Time 0.102 (0.251)	Data 0.015 (0.187)	Loss 4.9968 (5.0039)	Prec@1 4.688 (4.774)	Prec@5 18.750 (16.201)
Epoch: [21][3060/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 5.0019 (5.0040)	Prec@1 2.734 (4.772)	Prec@5 15.625 (16.201)
Epoch: [21][3070/7045]	Time 0.148 (0.251)	Data 0.098 (0.187)	Loss 4.9424 (5.0039)	Prec@1 3.516 (4.774)	Prec@5 14.453 (16.203)
Epoch: [21][3080/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 4.9445 (5.0042)	Prec@1 5.078 (4.772)	Prec@5 19.531 (16.201)
Epoch: [21][3090/7045]	Time 0.176 (0.251)	Data 0.125 (0.187)	Loss 4.9623 (5.0043)	Prec@1 3.516 (4.771)	Prec@5 16.406 (16.199)
Epoch: [21][3100/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 5.0771 (5.0046)	Prec@1 3.125 (4.770)	Prec@5 14.453 (16.193)
Epoch: [21][3110/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 5.0227 (5.0047)	Prec@1 5.078 (4.769)	Prec@5 17.188 (16.193)
Epoch: [21][3120/7045]	Time 0.102 (0.251)	Data 0.002 (0.187)	Loss 5.0595 (5.0049)	Prec@1 5.469 (4.769)	Prec@5 12.109 (16.190)
Epoch: [21][3130/7045]	Time 0.102 (0.251)	Data 0.019 (0.187)	Loss 4.9346 (5.0050)	Prec@1 5.859 (4.769)	Prec@5 16.797 (16.187)
Epoch: [21][3140/7045]	Time 0.238 (0.251)	Data 0.186 (0.187)	Loss 4.9238 (5.0048)	Prec@1 6.250 (4.771)	Prec@5 20.703 (16.191)
Epoch: [21][3150/7045]	Time 0.103 (0.251)	Data 0.010 (0.187)	Loss 5.2385 (5.0049)	Prec@1 1.953 (4.772)	Prec@5 11.328 (16.189)
Epoch: [21][3160/7045]	Time 0.363 (0.251)	Data 0.305 (0.187)	Loss 4.9634 (5.0048)	Prec@1 7.422 (4.773)	Prec@5 19.141 (16.188)
Epoch: [21][3170/7045]	Time 0.118 (0.251)	Data 0.067 (0.187)	Loss 5.0379 (5.0048)	Prec@1 4.688 (4.773)	Prec@5 19.922 (16.188)
Epoch: [21][3180/7045]	Time 0.411 (0.251)	Data 0.347 (0.187)	Loss 4.8371 (5.0047)	Prec@1 5.469 (4.775)	Prec@5 21.094 (16.192)
Epoch: [21][3190/7045]	Time 0.102 (0.251)	Data 0.009 (0.187)	Loss 5.1242 (5.0047)	Prec@1 5.078 (4.775)	Prec@5 14.453 (16.191)
Epoch: [21][3200/7045]	Time 0.547 (0.251)	Data 0.494 (0.187)	Loss 4.9327 (5.0045)	Prec@1 5.078 (4.778)	Prec@5 18.750 (16.197)
Epoch: [21][3210/7045]	Time 0.342 (0.251)	Data 0.292 (0.187)	Loss 4.9564 (5.0044)	Prec@1 5.859 (4.778)	Prec@5 15.625 (16.196)
Epoch: [21][3220/7045]	Time 0.550 (0.251)	Data 0.498 (0.187)	Loss 5.0622 (5.0045)	Prec@1 3.906 (4.779)	Prec@5 16.797 (16.193)
Epoch: [21][3230/7045]	Time 0.204 (0.251)	Data 0.153 (0.187)	Loss 4.8713 (5.0045)	Prec@1 7.031 (4.778)	Prec@5 17.969 (16.191)
Epoch: [21][3240/7045]	Time 0.605 (0.251)	Data 0.547 (0.187)	Loss 5.0635 (5.0045)	Prec@1 3.125 (4.777)	Prec@5 14.453 (16.189)
Epoch: [21][3250/7045]	Time 0.101 (0.251)	Data 0.022 (0.187)	Loss 5.0153 (5.0043)	Prec@1 4.688 (4.778)	Prec@5 14.844 (16.192)
Epoch: [21][3260/7045]	Time 0.565 (0.251)	Data 0.515 (0.187)	Loss 4.9065 (5.0042)	Prec@1 4.297 (4.779)	Prec@5 17.969 (16.193)
Epoch: [21][3270/7045]	Time 0.102 (0.251)	Data 0.015 (0.187)	Loss 5.0474 (5.0040)	Prec@1 5.078 (4.781)	Prec@5 14.844 (16.195)
Epoch: [21][3280/7045]	Time 0.201 (0.251)	Data 0.149 (0.187)	Loss 5.0163 (5.0039)	Prec@1 4.297 (4.782)	Prec@5 19.531 (16.198)
Epoch: [21][3290/7045]	Time 0.325 (0.251)	Data 0.273 (0.187)	Loss 4.8328 (5.0039)	Prec@1 8.984 (4.782)	Prec@5 19.531 (16.197)
Epoch: [21][3300/7045]	Time 0.110 (0.251)	Data 0.001 (0.187)	Loss 5.1526 (5.0040)	Prec@1 2.734 (4.779)	Prec@5 12.109 (16.193)
Epoch: [21][3310/7045]	Time 0.635 (0.251)	Data 0.576 (0.187)	Loss 5.0834 (5.0043)	Prec@1 3.125 (4.779)	Prec@5 14.062 (16.189)
Epoch: [21][3320/7045]	Time 0.110 (0.251)	Data 0.057 (0.187)	Loss 5.1001 (5.0043)	Prec@1 4.297 (4.779)	Prec@5 14.453 (16.189)
Epoch: [21][3330/7045]	Time 0.644 (0.251)	Data 0.593 (0.187)	Loss 4.9810 (5.0043)	Prec@1 4.688 (4.779)	Prec@5 14.844 (16.189)
Epoch: [21][3340/7045]	Time 0.100 (0.251)	Data 0.001 (0.187)	Loss 5.0087 (5.0043)	Prec@1 5.078 (4.779)	Prec@5 14.844 (16.188)
Epoch: [21][3350/7045]	Time 0.632 (0.251)	Data 0.581 (0.187)	Loss 5.0293 (5.0042)	Prec@1 3.906 (4.778)	Prec@5 14.453 (16.189)
Epoch: [21][3360/7045]	Time 0.110 (0.251)	Data 0.001 (0.186)	Loss 4.8031 (5.0039)	Prec@1 7.812 (4.781)	Prec@5 25.000 (16.196)
Epoch: [21][3370/7045]	Time 0.750 (0.251)	Data 0.692 (0.187)	Loss 4.9173 (5.0038)	Prec@1 5.078 (4.781)	Prec@5 16.797 (16.197)
Epoch: [21][3380/7045]	Time 0.167 (0.251)	Data 0.114 (0.186)	Loss 5.0549 (5.0037)	Prec@1 3.516 (4.780)	Prec@5 12.109 (16.201)
Epoch: [21][3390/7045]	Time 0.523 (0.251)	Data 0.471 (0.186)	Loss 4.8859 (5.0035)	Prec@1 6.641 (4.782)	Prec@5 16.406 (16.204)
Epoch: [21][3400/7045]	Time 0.204 (0.251)	Data 0.152 (0.186)	Loss 5.0213 (5.0033)	Prec@1 3.125 (4.783)	Prec@5 16.016 (16.207)
Epoch: [21][3410/7045]	Time 0.110 (0.251)	Data 0.014 (0.186)	Loss 4.9657 (5.0032)	Prec@1 7.031 (4.783)	Prec@5 17.969 (16.211)
Epoch: [21][3420/7045]	Time 0.106 (0.251)	Data 0.055 (0.186)	Loss 4.8882 (5.0032)	Prec@1 7.812 (4.784)	Prec@5 20.703 (16.211)
Epoch: [21][3430/7045]	Time 0.100 (0.251)	Data 0.001 (0.186)	Loss 5.0590 (5.0033)	Prec@1 4.688 (4.784)	Prec@5 16.016 (16.210)
Epoch: [21][3440/7045]	Time 0.104 (0.251)	Data 0.001 (0.186)	Loss 5.1825 (5.0034)	Prec@1 3.906 (4.784)	Prec@5 12.109 (16.208)
Epoch: [21][3450/7045]	Time 0.111 (0.251)	Data 0.001 (0.186)	Loss 5.1652 (5.0036)	Prec@1 3.125 (4.781)	Prec@5 14.062 (16.203)
Epoch: [21][3460/7045]	Time 0.105 (0.251)	Data 0.053 (0.186)	Loss 5.2717 (5.0036)	Prec@1 5.469 (4.780)	Prec@5 14.453 (16.203)
Epoch: [21][3470/7045]	Time 0.101 (0.251)	Data 0.009 (0.186)	Loss 5.1306 (5.0036)	Prec@1 3.125 (4.780)	Prec@5 12.109 (16.204)
Epoch: [21][3480/7045]	Time 0.147 (0.251)	Data 0.095 (0.186)	Loss 4.9664 (5.0036)	Prec@1 5.078 (4.779)	Prec@5 18.750 (16.206)
Epoch: [21][3490/7045]	Time 0.119 (0.251)	Data 0.068 (0.186)	Loss 5.0185 (5.0034)	Prec@1 5.469 (4.780)	Prec@5 16.406 (16.208)
Epoch: [21][3500/7045]	Time 0.364 (0.251)	Data 0.314 (0.186)	Loss 4.9904 (5.0032)	Prec@1 6.641 (4.782)	Prec@5 16.797 (16.213)
Epoch: [21][3510/7045]	Time 0.101 (0.251)	Data 0.001 (0.186)	Loss 4.9188 (5.0030)	Prec@1 4.688 (4.783)	Prec@5 13.281 (16.214)
Epoch: [21][3520/7045]	Time 0.585 (0.251)	Data 0.534 (0.186)	Loss 4.8784 (5.0029)	Prec@1 7.422 (4.786)	Prec@5 17.578 (16.217)
Epoch: [21][3530/7045]	Time 0.233 (0.251)	Data 0.181 (0.186)	Loss 4.9119 (5.0029)	Prec@1 4.297 (4.786)	Prec@5 18.750 (16.215)
Epoch: [21][3540/7045]	Time 0.544 (0.251)	Data 0.492 (0.186)	Loss 4.9589 (5.0030)	Prec@1 3.125 (4.786)	Prec@5 17.578 (16.217)
Epoch: [21][3550/7045]	Time 0.137 (0.251)	Data 0.086 (0.186)	Loss 4.9701 (5.0028)	Prec@1 3.516 (4.788)	Prec@5 15.625 (16.219)
Epoch: [21][3560/7045]	Time 0.452 (0.251)	Data 0.401 (0.186)	Loss 5.0253 (5.0027)	Prec@1 3.906 (4.789)	Prec@5 15.625 (16.221)
Epoch: [21][3570/7045]	Time 0.113 (0.251)	Data 0.062 (0.186)	Loss 5.0831 (5.0027)	Prec@1 5.469 (4.789)	Prec@5 15.234 (16.217)
Epoch: [21][3580/7045]	Time 0.583 (0.251)	Data 0.531 (0.186)	Loss 4.8434 (5.0026)	Prec@1 7.812 (4.790)	Prec@5 24.219 (16.219)
Epoch: [21][3590/7045]	Time 0.113 (0.251)	Data 0.062 (0.186)	Loss 4.9833 (5.0025)	Prec@1 5.469 (4.790)	Prec@5 13.672 (16.220)
Epoch: [21][3600/7045]	Time 0.522 (0.251)	Data 0.471 (0.186)	Loss 4.7952 (5.0025)	Prec@1 5.078 (4.790)	Prec@5 21.094 (16.220)
Epoch: [21][3610/7045]	Time 0.102 (0.251)	Data 0.011 (0.186)	Loss 5.0429 (5.0025)	Prec@1 5.469 (4.789)	Prec@5 14.062 (16.220)
Epoch: [21][3620/7045]	Time 0.550 (0.251)	Data 0.490 (0.186)	Loss 5.0607 (5.0026)	Prec@1 2.344 (4.785)	Prec@5 12.109 (16.214)
Epoch: [21][3630/7045]	Time 0.102 (0.250)	Data 0.001 (0.186)	Loss 4.8478 (5.0026)	Prec@1 9.375 (4.786)	Prec@5 23.047 (16.216)
Epoch: [21][3640/7045]	Time 0.182 (0.251)	Data 0.131 (0.186)	Loss 4.9463 (5.0025)	Prec@1 5.078 (4.786)	Prec@5 17.578 (16.216)
Epoch: [21][3650/7045]	Time 0.113 (0.250)	Data 0.061 (0.186)	Loss 4.9748 (5.0024)	Prec@1 3.906 (4.786)	Prec@5 15.234 (16.216)
Epoch: [21][3660/7045]	Time 0.238 (0.250)	Data 0.187 (0.186)	Loss 5.0359 (5.0025)	Prec@1 4.688 (4.785)	Prec@5 17.578 (16.219)
Epoch: [21][3670/7045]	Time 0.101 (0.250)	Data 0.001 (0.186)	Loss 4.9817 (5.0024)	Prec@1 3.516 (4.785)	Prec@5 16.016 (16.219)
Epoch: [21][3680/7045]	Time 0.150 (0.250)	Data 0.099 (0.186)	Loss 4.9672 (5.0025)	Prec@1 5.469 (4.784)	Prec@5 15.234 (16.220)
Epoch: [21][3690/7045]	Time 0.331 (0.250)	Data 0.280 (0.186)	Loss 5.0278 (5.0026)	Prec@1 5.859 (4.784)	Prec@5 15.625 (16.217)
Epoch: [21][3700/7045]	Time 0.245 (0.250)	Data 0.194 (0.186)	Loss 5.1136 (5.0025)	Prec@1 6.641 (4.785)	Prec@5 17.188 (16.219)
Epoch: [21][3710/7045]	Time 0.555 (0.250)	Data 0.504 (0.186)	Loss 5.1550 (5.0026)	Prec@1 3.906 (4.785)	Prec@5 14.062 (16.214)
Epoch: [21][3720/7045]	Time 0.177 (0.250)	Data 0.125 (0.186)	Loss 5.0476 (5.0025)	Prec@1 2.734 (4.786)	Prec@5 13.281 (16.216)
Epoch: [21][3730/7045]	Time 0.474 (0.250)	Data 0.423 (0.186)	Loss 5.0641 (5.0025)	Prec@1 3.516 (4.783)	Prec@5 15.625 (16.212)
Epoch: [21][3740/7045]	Time 0.109 (0.250)	Data 0.058 (0.186)	Loss 5.2031 (5.0026)	Prec@1 3.906 (4.783)	Prec@5 15.625 (16.212)
Epoch: [21][3750/7045]	Time 0.548 (0.250)	Data 0.497 (0.186)	Loss 4.9824 (5.0026)	Prec@1 5.078 (4.783)	Prec@5 19.141 (16.209)
Epoch: [21][3760/7045]	Time 0.101 (0.250)	Data 0.001 (0.186)	Loss 5.0969 (5.0027)	Prec@1 3.516 (4.781)	Prec@5 10.938 (16.204)
Epoch: [21][3770/7045]	Time 0.197 (0.250)	Data 0.146 (0.186)	Loss 4.9956 (5.0026)	Prec@1 6.641 (4.782)	Prec@5 17.969 (16.205)
Epoch: [21][3780/7045]	Time 0.203 (0.250)	Data 0.151 (0.186)	Loss 4.9824 (5.0027)	Prec@1 2.734 (4.782)	Prec@5 16.797 (16.203)
Epoch: [21][3790/7045]	Time 0.306 (0.250)	Data 0.255 (0.186)	Loss 4.8895 (5.0027)	Prec@1 8.594 (4.783)	Prec@5 21.484 (16.203)
Epoch: [21][3800/7045]	Time 0.611 (0.250)	Data 0.560 (0.186)	Loss 5.0149 (5.0027)	Prec@1 4.688 (4.784)	Prec@5 14.453 (16.205)
Epoch: [21][3810/7045]	Time 0.101 (0.250)	Data 0.006 (0.186)	Loss 5.0566 (5.0028)	Prec@1 7.031 (4.785)	Prec@5 15.234 (16.202)
Epoch: [21][3820/7045]	Time 0.614 (0.250)	Data 0.562 (0.186)	Loss 5.0088 (5.0028)	Prec@1 4.688 (4.786)	Prec@5 16.406 (16.202)
Epoch: [21][3830/7045]	Time 0.102 (0.250)	Data 0.017 (0.186)	Loss 4.9210 (5.0029)	Prec@1 3.125 (4.786)	Prec@5 15.234 (16.199)
Epoch: [21][3840/7045]	Time 0.361 (0.250)	Data 0.311 (0.186)	Loss 5.1031 (5.0027)	Prec@1 4.297 (4.785)	Prec@5 12.109 (16.200)
Epoch: [21][3850/7045]	Time 0.106 (0.250)	Data 0.054 (0.186)	Loss 4.8907 (5.0026)	Prec@1 5.078 (4.785)	Prec@5 18.359 (16.204)
Epoch: [21][3860/7045]	Time 0.384 (0.250)	Data 0.324 (0.186)	Loss 4.9231 (5.0024)	Prec@1 4.297 (4.784)	Prec@5 15.625 (16.205)
Epoch: [21][3870/7045]	Time 0.108 (0.250)	Data 0.055 (0.186)	Loss 5.0572 (5.0025)	Prec@1 5.078 (4.783)	Prec@5 13.281 (16.200)
Epoch: [21][3880/7045]	Time 0.393 (0.250)	Data 0.341 (0.186)	Loss 4.9183 (5.0025)	Prec@1 5.859 (4.784)	Prec@5 16.406 (16.200)
Epoch: [21][3890/7045]	Time 0.310 (0.250)	Data 0.259 (0.186)	Loss 5.0761 (5.0024)	Prec@1 3.906 (4.786)	Prec@5 16.797 (16.203)
Epoch: [21][3900/7045]	Time 0.126 (0.250)	Data 0.075 (0.186)	Loss 5.0428 (5.0023)	Prec@1 7.031 (4.786)	Prec@5 16.406 (16.202)
Epoch: [21][3910/7045]	Time 0.661 (0.250)	Data 0.610 (0.186)	Loss 4.9388 (5.0023)	Prec@1 5.078 (4.786)	Prec@5 18.750 (16.203)
Epoch: [21][3920/7045]	Time 0.121 (0.250)	Data 0.069 (0.186)	Loss 4.9646 (5.0023)	Prec@1 5.078 (4.785)	Prec@5 20.703 (16.205)
Epoch: [21][3930/7045]	Time 0.379 (0.250)	Data 0.327 (0.186)	Loss 5.1044 (5.0023)	Prec@1 2.734 (4.784)	Prec@5 16.406 (16.208)
Epoch: [21][3940/7045]	Time 0.108 (0.250)	Data 0.056 (0.186)	Loss 5.0386 (5.0024)	Prec@1 3.516 (4.784)	Prec@5 17.969 (16.207)
Epoch: [21][3950/7045]	Time 0.134 (0.250)	Data 0.084 (0.186)	Loss 5.0384 (5.0024)	Prec@1 4.688 (4.784)	Prec@5 18.750 (16.208)
Epoch: [21][3960/7045]	Time 0.263 (0.250)	Data 0.211 (0.186)	Loss 4.9299 (5.0024)	Prec@1 3.906 (4.784)	Prec@5 13.672 (16.206)
Epoch: [21][3970/7045]	Time 0.109 (0.250)	Data 0.016 (0.186)	Loss 5.0194 (5.0023)	Prec@1 5.078 (4.784)	Prec@5 16.016 (16.210)
Epoch: [21][3980/7045]	Time 0.313 (0.250)	Data 0.262 (0.186)	Loss 5.2481 (5.0023)	Prec@1 3.125 (4.783)	Prec@5 9.766 (16.210)
Epoch: [21][3990/7045]	Time 0.100 (0.250)	Data 0.019 (0.186)	Loss 5.0071 (5.0025)	Prec@1 5.078 (4.782)	Prec@5 17.188 (16.209)
Epoch: [21][4000/7045]	Time 0.414 (0.250)	Data 0.363 (0.186)	Loss 4.9393 (5.0024)	Prec@1 4.688 (4.781)	Prec@5 16.406 (16.208)
Epoch: [21][4010/7045]	Time 0.106 (0.250)	Data 0.054 (0.186)	Loss 5.0901 (5.0024)	Prec@1 5.469 (4.783)	Prec@5 13.281 (16.209)
Epoch: [21][4020/7045]	Time 0.391 (0.250)	Data 0.340 (0.186)	Loss 4.8536 (5.0022)	Prec@1 5.078 (4.782)	Prec@5 19.141 (16.209)
Epoch: [21][4030/7045]	Time 0.101 (0.250)	Data 0.001 (0.186)	Loss 4.8764 (5.0022)	Prec@1 5.859 (4.781)	Prec@5 17.969 (16.207)
Epoch: [21][4040/7045]	Time 0.298 (0.250)	Data 0.238 (0.186)	Loss 5.0772 (5.0022)	Prec@1 3.906 (4.782)	Prec@5 14.844 (16.208)
Epoch: [21][4050/7045]	Time 0.151 (0.250)	Data 0.098 (0.186)	Loss 4.9586 (5.0022)	Prec@1 5.078 (4.781)	Prec@5 14.453 (16.205)
Epoch: [21][4060/7045]	Time 0.103 (0.250)	Data 0.051 (0.186)	Loss 4.9019 (5.0021)	Prec@1 3.906 (4.783)	Prec@5 15.234 (16.206)
Epoch: [21][4070/7045]	Time 0.120 (0.250)	Data 0.068 (0.186)	Loss 5.0341 (5.0023)	Prec@1 5.078 (4.780)	Prec@5 14.062 (16.201)
Epoch: [21][4080/7045]	Time 0.235 (0.250)	Data 0.183 (0.186)	Loss 4.9792 (5.0022)	Prec@1 4.688 (4.780)	Prec@5 15.234 (16.201)
Epoch: [21][4090/7045]	Time 0.111 (0.250)	Data 0.060 (0.186)	Loss 4.8868 (5.0022)	Prec@1 4.688 (4.781)	Prec@5 16.797 (16.200)
Epoch: [21][4100/7045]	Time 0.237 (0.250)	Data 0.186 (0.186)	Loss 5.0091 (5.0021)	Prec@1 5.078 (4.782)	Prec@5 18.359 (16.204)
Epoch: [21][4110/7045]	Time 0.103 (0.250)	Data 0.050 (0.186)	Loss 5.1320 (5.0023)	Prec@1 5.469 (4.781)	Prec@5 14.453 (16.201)
Epoch: [21][4120/7045]	Time 0.102 (0.250)	Data 0.016 (0.186)	Loss 5.0571 (5.0023)	Prec@1 2.344 (4.780)	Prec@5 14.062 (16.202)
Epoch: [21][4130/7045]	Time 0.231 (0.250)	Data 0.181 (0.186)	Loss 5.0626 (5.0023)	Prec@1 4.688 (4.780)	Prec@5 14.844 (16.201)
Epoch: [21][4140/7045]	Time 0.167 (0.250)	Data 0.116 (0.186)	Loss 5.0492 (5.0022)	Prec@1 3.125 (4.780)	Prec@5 16.016 (16.203)
Epoch: [21][4150/7045]	Time 0.161 (0.250)	Data 0.109 (0.186)	Loss 4.8721 (5.0021)	Prec@1 6.250 (4.780)	Prec@5 17.578 (16.205)
Epoch: [21][4160/7045]	Time 0.101 (0.250)	Data 0.042 (0.186)	Loss 5.0783 (5.0021)	Prec@1 3.906 (4.780)	Prec@5 15.234 (16.204)
Epoch: [21][4170/7045]	Time 0.301 (0.250)	Data 0.251 (0.186)	Loss 4.9410 (5.0020)	Prec@1 4.688 (4.781)	Prec@5 17.969 (16.206)
Epoch: [21][4180/7045]	Time 0.100 (0.250)	Data 0.001 (0.186)	Loss 5.0870 (5.0019)	Prec@1 6.250 (4.783)	Prec@5 14.062 (16.210)
Epoch: [21][4190/7045]	Time 0.110 (0.250)	Data 0.001 (0.186)	Loss 5.0447 (5.0020)	Prec@1 4.297 (4.782)	Prec@5 14.844 (16.209)
Epoch: [21][4200/7045]	Time 0.100 (0.250)	Data 0.001 (0.186)	Loss 4.8866 (5.0019)	Prec@1 6.641 (4.782)	Prec@5 17.188 (16.210)
Epoch: [21][4210/7045]	Time 0.109 (0.250)	Data 0.008 (0.186)	Loss 4.8230 (5.0018)	Prec@1 5.078 (4.782)	Prec@5 17.969 (16.212)
Epoch: [21][4220/7045]	Time 0.102 (0.250)	Data 0.001 (0.186)	Loss 4.8686 (5.0017)	Prec@1 7.031 (4.782)	Prec@5 21.875 (16.215)
Epoch: [21][4230/7045]	Time 0.107 (0.250)	Data 0.010 (0.186)	Loss 4.9518 (5.0016)	Prec@1 5.469 (4.783)	Prec@5 14.453 (16.216)
Epoch: [21][4240/7045]	Time 0.101 (0.250)	Data 0.001 (0.185)	Loss 4.9612 (5.0015)	Prec@1 5.469 (4.783)	Prec@5 19.531 (16.218)
Epoch: [21][4250/7045]	Time 0.101 (0.250)	Data 0.046 (0.185)	Loss 4.9591 (5.0015)	Prec@1 4.688 (4.784)	Prec@5 14.453 (16.218)
Epoch: [21][4260/7045]	Time 0.224 (0.250)	Data 0.171 (0.185)	Loss 5.0606 (5.0016)	Prec@1 4.297 (4.783)	Prec@5 18.359 (16.218)
Epoch: [21][4270/7045]	Time 0.102 (0.250)	Data 0.001 (0.185)	Loss 5.1971 (5.0017)	Prec@1 2.344 (4.783)	Prec@5 14.453 (16.215)
Epoch: [21][4280/7045]	Time 0.186 (0.250)	Data 0.135 (0.185)	Loss 4.9490 (5.0017)	Prec@1 5.078 (4.783)	Prec@5 15.625 (16.213)
Epoch: [21][4290/7045]	Time 0.102 (0.250)	Data 0.015 (0.185)	Loss 5.0431 (5.0016)	Prec@1 5.469 (4.783)	Prec@5 14.844 (16.214)
Epoch: [21][4300/7045]	Time 0.403 (0.250)	Data 0.352 (0.185)	Loss 4.9567 (5.0017)	Prec@1 5.078 (4.781)	Prec@5 16.406 (16.213)
Epoch: [21][4310/7045]	Time 0.100 (0.250)	Data 0.011 (0.185)	Loss 5.1126 (5.0017)	Prec@1 7.031 (4.781)	Prec@5 18.359 (16.213)
Epoch: [21][4320/7045]	Time 0.421 (0.250)	Data 0.371 (0.185)	Loss 4.9588 (5.0017)	Prec@1 3.516 (4.782)	Prec@5 12.500 (16.214)
Epoch: [21][4330/7045]	Time 0.212 (0.250)	Data 0.161 (0.185)	Loss 4.9958 (5.0017)	Prec@1 5.469 (4.782)	Prec@5 16.797 (16.215)
Epoch: [21][4340/7045]	Time 0.279 (0.250)	Data 0.226 (0.185)	Loss 4.9051 (5.0017)	Prec@1 6.250 (4.782)	Prec@5 19.141 (16.215)
Epoch: [21][4350/7045]	Time 0.101 (0.250)	Data 0.004 (0.185)	Loss 5.0095 (5.0017)	Prec@1 5.078 (4.781)	Prec@5 17.188 (16.216)
Epoch: [21][4360/7045]	Time 0.119 (0.250)	Data 0.068 (0.185)	Loss 5.1591 (5.0019)	Prec@1 5.078 (4.782)	Prec@5 14.062 (16.212)
Epoch: [21][4370/7045]	Time 0.104 (0.250)	Data 0.052 (0.185)	Loss 5.0132 (5.0020)	Prec@1 3.516 (4.781)	Prec@5 15.234 (16.211)
Epoch: [21][4380/7045]	Time 0.419 (0.250)	Data 0.369 (0.185)	Loss 4.8112 (5.0020)	Prec@1 5.469 (4.783)	Prec@5 22.266 (16.215)
Epoch: [21][4390/7045]	Time 0.195 (0.250)	Data 0.139 (0.185)	Loss 5.0720 (5.0020)	Prec@1 5.469 (4.783)	Prec@5 14.453 (16.215)
Epoch: [21][4400/7045]	Time 0.387 (0.250)	Data 0.335 (0.185)	Loss 5.0652 (5.0019)	Prec@1 3.125 (4.782)	Prec@5 13.281 (16.216)
Epoch: [21][4410/7045]	Time 0.290 (0.250)	Data 0.233 (0.185)	Loss 4.9744 (5.0018)	Prec@1 5.859 (4.783)	Prec@5 16.406 (16.219)
Epoch: [21][4420/7045]	Time 0.465 (0.250)	Data 0.406 (0.185)	Loss 4.9333 (5.0015)	Prec@1 4.688 (4.786)	Prec@5 16.406 (16.225)
Epoch: [21][4430/7045]	Time 0.263 (0.250)	Data 0.207 (0.185)	Loss 4.8597 (5.0014)	Prec@1 7.812 (4.788)	Prec@5 16.406 (16.228)
Epoch: [21][4440/7045]	Time 0.374 (0.250)	Data 0.322 (0.185)	Loss 4.8803 (5.0015)	Prec@1 8.203 (4.787)	Prec@5 22.266 (16.228)
Epoch: [21][4450/7045]	Time 0.320 (0.250)	Data 0.268 (0.185)	Loss 5.0219 (5.0015)	Prec@1 5.469 (4.788)	Prec@5 15.625 (16.228)
Epoch: [21][4460/7045]	Time 0.102 (0.250)	Data 0.049 (0.185)	Loss 5.0048 (5.0014)	Prec@1 5.078 (4.789)	Prec@5 17.578 (16.229)
Epoch: [21][4470/7045]	Time 0.638 (0.250)	Data 0.586 (0.185)	Loss 5.0953 (5.0015)	Prec@1 3.906 (4.788)	Prec@5 16.016 (16.228)
Epoch: [21][4480/7045]	Time 0.101 (0.250)	Data 0.010 (0.185)	Loss 4.9216 (5.0016)	Prec@1 3.906 (4.787)	Prec@5 14.062 (16.227)
Epoch: [21][4490/7045]	Time 0.570 (0.250)	Data 0.518 (0.185)	Loss 4.9301 (5.0015)	Prec@1 6.250 (4.788)	Prec@5 19.922 (16.229)
Epoch: [21][4500/7045]	Time 0.102 (0.250)	Data 0.001 (0.185)	Loss 4.9998 (5.0014)	Prec@1 3.125 (4.789)	Prec@5 18.359 (16.231)
Epoch: [21][4510/7045]	Time 0.490 (0.250)	Data 0.438 (0.185)	Loss 5.0462 (5.0014)	Prec@1 3.516 (4.790)	Prec@5 14.844 (16.233)
Epoch: [21][4520/7045]	Time 0.198 (0.250)	Data 0.145 (0.185)	Loss 4.9873 (5.0014)	Prec@1 5.469 (4.790)	Prec@5 18.750 (16.232)
Epoch: [21][4530/7045]	Time 0.562 (0.250)	Data 0.504 (0.185)	Loss 4.9372 (5.0014)	Prec@1 4.688 (4.790)	Prec@5 18.359 (16.232)
Epoch: [21][4540/7045]	Time 0.104 (0.250)	Data 0.012 (0.185)	Loss 5.0422 (5.0015)	Prec@1 2.344 (4.788)	Prec@5 14.062 (16.226)
Epoch: [21][4550/7045]	Time 0.314 (0.250)	Data 0.262 (0.185)	Loss 4.9690 (5.0015)	Prec@1 6.250 (4.789)	Prec@5 18.359 (16.228)
Epoch: [21][4560/7045]	Time 0.102 (0.250)	Data 0.009 (0.185)	Loss 4.9616 (5.0014)	Prec@1 5.469 (4.789)	Prec@5 19.922 (16.230)
Epoch: [21][4570/7045]	Time 0.124 (0.250)	Data 0.062 (0.185)	Loss 4.9076 (5.0013)	Prec@1 3.516 (4.789)	Prec@5 15.625 (16.231)
Epoch: [21][4580/7045]	Time 0.101 (0.250)	Data 0.001 (0.185)	Loss 4.9315 (5.0014)	Prec@1 6.250 (4.789)	Prec@5 21.094 (16.229)
Epoch: [21][4590/7045]	Time 0.109 (0.250)	Data 0.001 (0.185)	Loss 4.9430 (5.0014)	Prec@1 4.688 (4.788)	Prec@5 18.750 (16.227)
Epoch: [21][4600/7045]	Time 0.102 (0.250)	Data 0.001 (0.185)	Loss 5.1041 (5.0014)	Prec@1 3.125 (4.788)	Prec@5 16.797 (16.226)
Epoch: [21][4610/7045]	Time 0.110 (0.250)	Data 0.058 (0.185)	Loss 4.9777 (5.0013)	Prec@1 4.297 (4.787)	Prec@5 12.109 (16.224)
Epoch: [21][4620/7045]	Time 0.331 (0.250)	Data 0.280 (0.185)	Loss 5.1662 (5.0014)	Prec@1 4.688 (4.787)	Prec@5 15.234 (16.224)
Epoch: [21][4630/7045]	Time 0.101 (0.250)	Data 0.002 (0.185)	Loss 5.0352 (5.0016)	Prec@1 1.953 (4.785)	Prec@5 15.625 (16.221)
Epoch: [21][4640/7045]	Time 0.652 (0.250)	Data 0.601 (0.185)	Loss 4.9177 (5.0018)	Prec@1 4.297 (4.783)	Prec@5 16.016 (16.217)
Epoch: [21][4650/7045]	Time 0.276 (0.250)	Data 0.224 (0.185)	Loss 5.0816 (5.0019)	Prec@1 6.250 (4.781)	Prec@5 16.797 (16.215)
Epoch: [21][4660/7045]	Time 0.560 (0.250)	Data 0.508 (0.185)	Loss 5.1472 (5.0020)	Prec@1 4.297 (4.781)	Prec@5 15.234 (16.213)
Epoch: [21][4670/7045]	Time 0.255 (0.250)	Data 0.203 (0.185)	Loss 5.0848 (5.0022)	Prec@1 3.906 (4.780)	Prec@5 10.938 (16.209)
Epoch: [21][4680/7045]	Time 0.551 (0.250)	Data 0.502 (0.185)	Loss 5.0011 (5.0023)	Prec@1 5.078 (4.780)	Prec@5 17.188 (16.210)
Epoch: [21][4690/7045]	Time 0.246 (0.250)	Data 0.195 (0.185)	Loss 5.0939 (5.0023)	Prec@1 3.906 (4.780)	Prec@5 11.719 (16.210)
Epoch: [21][4700/7045]	Time 0.637 (0.250)	Data 0.585 (0.185)	Loss 5.0164 (5.0023)	Prec@1 5.078 (4.780)	Prec@5 16.016 (16.212)
Epoch: [21][4710/7045]	Time 0.102 (0.250)	Data 0.001 (0.185)	Loss 5.0335 (5.0023)	Prec@1 4.688 (4.781)	Prec@5 15.625 (16.212)
Epoch: [21][4720/7045]	Time 0.413 (0.250)	Data 0.363 (0.185)	Loss 4.9344 (5.0023)	Prec@1 3.125 (4.780)	Prec@5 18.359 (16.212)
Epoch: [21][4730/7045]	Time 0.107 (0.250)	Data 0.001 (0.185)	Loss 4.9667 (5.0022)	Prec@1 6.250 (4.779)	Prec@5 17.969 (16.213)
Epoch: [21][4740/7045]	Time 0.234 (0.250)	Data 0.183 (0.185)	Loss 5.0146 (5.0021)	Prec@1 7.422 (4.780)	Prec@5 20.703 (16.214)
Epoch: [21][4750/7045]	Time 0.689 (0.250)	Data 0.639 (0.185)	Loss 4.8709 (5.0022)	Prec@1 3.906 (4.778)	Prec@5 14.844 (16.213)
Epoch: [21][4760/7045]	Time 0.095 (0.250)	Data 0.001 (0.185)	Loss 5.0360 (5.0021)	Prec@1 4.297 (4.778)	Prec@5 14.453 (16.215)
Epoch: [21][4770/7045]	Time 0.674 (0.250)	Data 0.623 (0.185)	Loss 5.0857 (5.0022)	Prec@1 5.469 (4.778)	Prec@5 15.625 (16.214)
Epoch: [21][4780/7045]	Time 0.101 (0.250)	Data 0.044 (0.185)	Loss 4.9604 (5.0024)	Prec@1 6.641 (4.777)	Prec@5 17.188 (16.210)
Epoch: [21][4790/7045]	Time 0.417 (0.250)	Data 0.366 (0.185)	Loss 5.1985 (5.0024)	Prec@1 2.344 (4.777)	Prec@5 12.891 (16.209)
Epoch: [21][4800/7045]	Time 0.222 (0.250)	Data 0.171 (0.185)	Loss 4.9419 (5.0024)	Prec@1 6.641 (4.778)	Prec@5 17.188 (16.210)
Epoch: [21][4810/7045]	Time 0.370 (0.250)	Data 0.318 (0.185)	Loss 4.8091 (5.0024)	Prec@1 5.859 (4.775)	Prec@5 20.312 (16.208)
Epoch: [21][4820/7045]	Time 0.458 (0.250)	Data 0.397 (0.185)	Loss 4.9106 (5.0023)	Prec@1 5.469 (4.775)	Prec@5 18.750 (16.208)
Epoch: [21][4830/7045]	Time 0.343 (0.250)	Data 0.292 (0.185)	Loss 4.9459 (5.0021)	Prec@1 6.250 (4.777)	Prec@5 15.625 (16.212)
Epoch: [21][4840/7045]	Time 0.277 (0.250)	Data 0.225 (0.185)	Loss 5.2592 (5.0021)	Prec@1 3.516 (4.777)	Prec@5 11.719 (16.212)
Epoch: [21][4850/7045]	Time 0.422 (0.250)	Data 0.370 (0.185)	Loss 5.0056 (5.0021)	Prec@1 6.250 (4.777)	Prec@5 16.016 (16.210)
Epoch: [21][4860/7045]	Time 0.617 (0.250)	Data 0.563 (0.185)	Loss 5.0247 (5.0022)	Prec@1 2.734 (4.777)	Prec@5 14.453 (16.209)
Epoch: [21][4870/7045]	Time 0.101 (0.250)	Data 0.001 (0.185)	Loss 5.0826 (5.0022)	Prec@1 5.469 (4.777)	Prec@5 17.188 (16.208)
Epoch: [21][4880/7045]	Time 0.363 (0.250)	Data 0.313 (0.185)	Loss 4.9295 (5.0021)	Prec@1 4.688 (4.778)	Prec@5 16.406 (16.209)
Epoch: [21][4890/7045]	Time 0.105 (0.250)	Data 0.052 (0.185)	Loss 5.0406 (5.0019)	Prec@1 5.078 (4.779)	Prec@5 18.359 (16.211)
Epoch: [21][4900/7045]	Time 0.179 (0.250)	Data 0.127 (0.185)	Loss 4.9955 (5.0019)	Prec@1 5.078 (4.779)	Prec@5 17.969 (16.212)
Epoch: [21][4910/7045]	Time 0.178 (0.250)	Data 0.127 (0.185)	Loss 5.1453 (5.0019)	Prec@1 1.562 (4.778)	Prec@5 12.500 (16.210)
Epoch: [21][4920/7045]	Time 0.347 (0.250)	Data 0.297 (0.185)	Loss 5.0155 (5.0019)	Prec@1 4.688 (4.777)	Prec@5 16.797 (16.211)
Epoch: [21][4930/7045]	Time 0.449 (0.250)	Data 0.390 (0.185)	Loss 5.0845 (5.0019)	Prec@1 2.344 (4.777)	Prec@5 14.062 (16.211)
Epoch: [21][4940/7045]	Time 0.100 (0.250)	Data 0.001 (0.185)	Loss 4.9965 (5.0020)	Prec@1 5.859 (4.778)	Prec@5 16.406 (16.211)
Epoch: [21][4950/7045]	Time 0.635 (0.250)	Data 0.584 (0.185)	Loss 5.1015 (5.0020)	Prec@1 2.734 (4.777)	Prec@5 13.281 (16.210)
Epoch: [21][4960/7045]	Time 0.101 (0.250)	Data 0.018 (0.185)	Loss 5.0934 (5.0020)	Prec@1 4.297 (4.777)	Prec@5 12.500 (16.211)
Epoch: [21][4970/7045]	Time 0.456 (0.250)	Data 0.405 (0.185)	Loss 4.9442 (5.0019)	Prec@1 5.078 (4.778)	Prec@5 19.141 (16.212)
Epoch: [21][4980/7045]	Time 0.179 (0.250)	Data 0.128 (0.185)	Loss 5.0913 (5.0018)	Prec@1 6.250 (4.780)	Prec@5 14.844 (16.213)
Epoch: [21][4990/7045]	Time 0.298 (0.250)	Data 0.246 (0.185)	Loss 5.0143 (5.0017)	Prec@1 2.734 (4.781)	Prec@5 19.141 (16.215)
Epoch: [21][5000/7045]	Time 0.219 (0.250)	Data 0.168 (0.185)	Loss 5.0868 (5.0016)	Prec@1 5.469 (4.780)	Prec@5 15.234 (16.215)
Epoch: [21][5010/7045]	Time 0.311 (0.250)	Data 0.260 (0.185)	Loss 5.1243 (5.0015)	Prec@1 4.688 (4.783)	Prec@5 15.625 (16.218)
Epoch: [21][5020/7045]	Time 0.352 (0.250)	Data 0.294 (0.185)	Loss 4.9977 (5.0017)	Prec@1 8.203 (4.782)	Prec@5 21.094 (16.217)
Epoch: [21][5030/7045]	Time 0.219 (0.249)	Data 0.169 (0.185)	Loss 5.1369 (5.0017)	Prec@1 4.297 (4.781)	Prec@5 14.453 (16.216)
Epoch: [21][5040/7045]	Time 0.149 (0.249)	Data 0.090 (0.185)	Loss 4.8132 (5.0017)	Prec@1 4.688 (4.780)	Prec@5 22.266 (16.216)
Epoch: [21][5050/7045]	Time 0.200 (0.249)	Data 0.150 (0.185)	Loss 5.1416 (5.0017)	Prec@1 4.688 (4.781)	Prec@5 14.453 (16.217)
Epoch: [21][5060/7045]	Time 0.125 (0.249)	Data 0.069 (0.185)	Loss 4.9469 (5.0017)	Prec@1 5.469 (4.781)	Prec@5 15.625 (16.216)
Epoch: [21][5070/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 5.0040 (5.0017)	Prec@1 3.516 (4.780)	Prec@5 13.672 (16.214)
Epoch: [21][5080/7045]	Time 0.123 (0.249)	Data 0.071 (0.185)	Loss 4.9626 (5.0017)	Prec@1 4.297 (4.781)	Prec@5 18.750 (16.215)
Epoch: [21][5090/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 5.0832 (5.0017)	Prec@1 5.859 (4.781)	Prec@5 16.797 (16.215)
Epoch: [21][5100/7045]	Time 0.100 (0.249)	Data 0.007 (0.185)	Loss 5.2178 (5.0018)	Prec@1 3.516 (4.781)	Prec@5 10.938 (16.213)
Epoch: [21][5110/7045]	Time 0.101 (0.249)	Data 0.044 (0.185)	Loss 5.2164 (5.0019)	Prec@1 3.125 (4.781)	Prec@5 12.500 (16.210)
Epoch: [21][5120/7045]	Time 0.101 (0.249)	Data 0.045 (0.185)	Loss 5.1280 (5.0021)	Prec@1 4.297 (4.781)	Prec@5 15.625 (16.209)
Epoch: [21][5130/7045]	Time 0.317 (0.249)	Data 0.266 (0.185)	Loss 5.0653 (5.0020)	Prec@1 3.125 (4.781)	Prec@5 17.188 (16.210)
Epoch: [21][5140/7045]	Time 0.196 (0.249)	Data 0.145 (0.185)	Loss 4.9376 (5.0020)	Prec@1 3.906 (4.782)	Prec@5 17.969 (16.211)
Epoch: [21][5150/7045]	Time 0.451 (0.249)	Data 0.399 (0.185)	Loss 5.0065 (5.0020)	Prec@1 4.297 (4.781)	Prec@5 16.406 (16.212)
Epoch: [21][5160/7045]	Time 0.101 (0.249)	Data 0.002 (0.185)	Loss 4.8801 (5.0020)	Prec@1 5.078 (4.781)	Prec@5 17.188 (16.212)
Epoch: [21][5170/7045]	Time 0.258 (0.249)	Data 0.207 (0.185)	Loss 5.0101 (5.0019)	Prec@1 5.859 (4.782)	Prec@5 16.406 (16.213)
Epoch: [21][5180/7045]	Time 0.113 (0.249)	Data 0.006 (0.185)	Loss 4.9336 (5.0019)	Prec@1 7.031 (4.782)	Prec@5 17.969 (16.215)
Epoch: [21][5190/7045]	Time 0.113 (0.249)	Data 0.061 (0.185)	Loss 4.8412 (5.0017)	Prec@1 4.297 (4.783)	Prec@5 15.625 (16.218)
Epoch: [21][5200/7045]	Time 0.106 (0.249)	Data 0.042 (0.185)	Loss 4.9756 (5.0017)	Prec@1 5.859 (4.784)	Prec@5 16.016 (16.218)
Epoch: [21][5210/7045]	Time 0.104 (0.249)	Data 0.052 (0.185)	Loss 5.1973 (5.0017)	Prec@1 5.859 (4.783)	Prec@5 16.797 (16.219)
Epoch: [21][5220/7045]	Time 0.392 (0.249)	Data 0.340 (0.185)	Loss 4.9869 (5.0016)	Prec@1 4.688 (4.784)	Prec@5 16.797 (16.219)
Epoch: [21][5230/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.9412 (5.0016)	Prec@1 5.078 (4.784)	Prec@5 18.750 (16.221)
Epoch: [21][5240/7045]	Time 0.564 (0.249)	Data 0.506 (0.185)	Loss 4.8319 (5.0015)	Prec@1 5.859 (4.785)	Prec@5 19.531 (16.224)
Epoch: [21][5250/7045]	Time 0.116 (0.249)	Data 0.065 (0.185)	Loss 5.0200 (5.0014)	Prec@1 3.906 (4.787)	Prec@5 16.016 (16.226)
Epoch: [21][5260/7045]	Time 0.461 (0.249)	Data 0.410 (0.185)	Loss 5.0657 (5.0013)	Prec@1 5.078 (4.786)	Prec@5 17.578 (16.229)
Epoch: [21][5270/7045]	Time 0.109 (0.249)	Data 0.001 (0.185)	Loss 5.0470 (5.0012)	Prec@1 3.125 (4.786)	Prec@5 18.750 (16.230)
Epoch: [21][5280/7045]	Time 0.464 (0.249)	Data 0.411 (0.185)	Loss 4.9966 (5.0012)	Prec@1 4.297 (4.787)	Prec@5 17.969 (16.232)
Epoch: [21][5290/7045]	Time 0.205 (0.249)	Data 0.154 (0.185)	Loss 5.2716 (5.0013)	Prec@1 1.953 (4.785)	Prec@5 10.938 (16.231)
Epoch: [21][5300/7045]	Time 0.316 (0.249)	Data 0.266 (0.185)	Loss 4.9844 (5.0013)	Prec@1 6.641 (4.785)	Prec@5 16.016 (16.232)
Epoch: [21][5310/7045]	Time 0.371 (0.249)	Data 0.319 (0.185)	Loss 5.0516 (5.0013)	Prec@1 2.734 (4.784)	Prec@5 14.844 (16.232)
Epoch: [21][5320/7045]	Time 0.104 (0.249)	Data 0.013 (0.185)	Loss 5.0254 (5.0014)	Prec@1 4.688 (4.785)	Prec@5 16.016 (16.231)
Epoch: [21][5330/7045]	Time 0.653 (0.249)	Data 0.594 (0.185)	Loss 4.8433 (5.0013)	Prec@1 5.078 (4.783)	Prec@5 19.141 (16.232)
Epoch: [21][5340/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.8943 (5.0012)	Prec@1 7.031 (4.783)	Prec@5 17.578 (16.234)
Epoch: [21][5350/7045]	Time 0.613 (0.249)	Data 0.562 (0.185)	Loss 4.8767 (5.0011)	Prec@1 5.078 (4.783)	Prec@5 20.703 (16.237)
Epoch: [21][5360/7045]	Time 0.100 (0.249)	Data 0.001 (0.185)	Loss 5.0191 (5.0010)	Prec@1 3.125 (4.783)	Prec@5 16.406 (16.237)
Epoch: [21][5370/7045]	Time 0.529 (0.249)	Data 0.470 (0.185)	Loss 5.0440 (5.0010)	Prec@1 5.469 (4.784)	Prec@5 14.844 (16.237)
Epoch: [21][5380/7045]	Time 0.190 (0.249)	Data 0.139 (0.185)	Loss 4.9842 (5.0010)	Prec@1 4.688 (4.784)	Prec@5 17.578 (16.239)
Epoch: [21][5390/7045]	Time 0.405 (0.249)	Data 0.355 (0.185)	Loss 4.9870 (5.0009)	Prec@1 3.906 (4.784)	Prec@5 18.359 (16.240)
Epoch: [21][5400/7045]	Time 0.137 (0.249)	Data 0.086 (0.185)	Loss 4.8443 (5.0008)	Prec@1 7.422 (4.785)	Prec@5 21.094 (16.242)
Epoch: [21][5410/7045]	Time 0.430 (0.249)	Data 0.378 (0.185)	Loss 4.9370 (5.0008)	Prec@1 4.297 (4.785)	Prec@5 16.016 (16.244)
Epoch: [21][5420/7045]	Time 0.494 (0.249)	Data 0.440 (0.185)	Loss 4.8130 (5.0005)	Prec@1 7.031 (4.786)	Prec@5 19.531 (16.248)
Epoch: [21][5430/7045]	Time 0.303 (0.249)	Data 0.250 (0.185)	Loss 5.0911 (5.0005)	Prec@1 4.297 (4.787)	Prec@5 13.281 (16.248)
Epoch: [21][5440/7045]	Time 0.348 (0.249)	Data 0.296 (0.185)	Loss 4.8852 (5.0006)	Prec@1 7.422 (4.786)	Prec@5 18.750 (16.249)
Epoch: [21][5450/7045]	Time 0.101 (0.249)	Data 0.009 (0.185)	Loss 5.0878 (5.0005)	Prec@1 4.297 (4.787)	Prec@5 14.453 (16.250)
Epoch: [21][5460/7045]	Time 0.102 (0.249)	Data 0.005 (0.185)	Loss 5.1156 (5.0005)	Prec@1 4.688 (4.786)	Prec@5 15.625 (16.249)
Epoch: [21][5470/7045]	Time 0.105 (0.249)	Data 0.053 (0.185)	Loss 4.9519 (5.0005)	Prec@1 4.297 (4.786)	Prec@5 16.406 (16.249)
Epoch: [21][5480/7045]	Time 0.247 (0.249)	Data 0.195 (0.185)	Loss 4.9701 (5.0004)	Prec@1 3.906 (4.787)	Prec@5 16.797 (16.251)
Epoch: [21][5490/7045]	Time 0.335 (0.249)	Data 0.283 (0.185)	Loss 4.9210 (5.0003)	Prec@1 4.688 (4.787)	Prec@5 16.797 (16.252)
Epoch: [21][5500/7045]	Time 0.359 (0.249)	Data 0.308 (0.185)	Loss 5.1369 (5.0003)	Prec@1 3.125 (4.787)	Prec@5 14.062 (16.252)
Epoch: [21][5510/7045]	Time 0.098 (0.249)	Data 0.001 (0.185)	Loss 4.9976 (5.0003)	Prec@1 3.516 (4.787)	Prec@5 14.844 (16.251)
Epoch: [21][5520/7045]	Time 0.502 (0.249)	Data 0.451 (0.185)	Loss 5.0862 (5.0004)	Prec@1 5.078 (4.787)	Prec@5 17.578 (16.254)
Epoch: [21][5530/7045]	Time 0.131 (0.249)	Data 0.080 (0.185)	Loss 4.9151 (5.0003)	Prec@1 3.906 (4.787)	Prec@5 13.672 (16.254)
Epoch: [21][5540/7045]	Time 0.333 (0.249)	Data 0.274 (0.185)	Loss 5.1136 (5.0004)	Prec@1 5.469 (4.787)	Prec@5 16.406 (16.252)
Epoch: [21][5550/7045]	Time 0.601 (0.249)	Data 0.549 (0.185)	Loss 5.1115 (5.0005)	Prec@1 5.078 (4.787)	Prec@5 15.625 (16.251)
Epoch: [21][5560/7045]	Time 0.161 (0.249)	Data 0.105 (0.185)	Loss 4.9879 (5.0006)	Prec@1 4.688 (4.784)	Prec@5 17.969 (16.247)
Epoch: [21][5570/7045]	Time 0.516 (0.249)	Data 0.463 (0.185)	Loss 4.9521 (5.0005)	Prec@1 5.469 (4.785)	Prec@5 15.625 (16.246)
Epoch: [21][5580/7045]	Time 0.111 (0.249)	Data 0.052 (0.185)	Loss 4.9633 (5.0004)	Prec@1 6.250 (4.786)	Prec@5 18.359 (16.250)
Epoch: [21][5590/7045]	Time 0.278 (0.249)	Data 0.228 (0.185)	Loss 5.2048 (5.0003)	Prec@1 6.641 (4.788)	Prec@5 13.672 (16.252)
Epoch: [21][5600/7045]	Time 0.123 (0.249)	Data 0.071 (0.185)	Loss 4.9821 (5.0002)	Prec@1 3.125 (4.789)	Prec@5 17.578 (16.253)
Epoch: [21][5610/7045]	Time 0.103 (0.249)	Data 0.050 (0.185)	Loss 4.9452 (5.0002)	Prec@1 3.906 (4.788)	Prec@5 20.703 (16.254)
Epoch: [21][5620/7045]	Time 0.103 (0.249)	Data 0.001 (0.185)	Loss 5.0147 (5.0002)	Prec@1 3.906 (4.788)	Prec@5 12.109 (16.252)
Epoch: [21][5630/7045]	Time 0.502 (0.249)	Data 0.451 (0.185)	Loss 4.8772 (5.0001)	Prec@1 5.078 (4.786)	Prec@5 20.703 (16.254)
Epoch: [21][5640/7045]	Time 0.128 (0.249)	Data 0.076 (0.185)	Loss 5.0116 (5.0001)	Prec@1 3.906 (4.786)	Prec@5 14.062 (16.253)
Epoch: [21][5650/7045]	Time 0.682 (0.249)	Data 0.630 (0.185)	Loss 5.0258 (5.0002)	Prec@1 4.297 (4.786)	Prec@5 16.016 (16.253)
Epoch: [21][5660/7045]	Time 0.148 (0.249)	Data 0.096 (0.185)	Loss 4.9738 (5.0002)	Prec@1 3.906 (4.786)	Prec@5 16.016 (16.253)
Epoch: [21][5670/7045]	Time 0.580 (0.249)	Data 0.528 (0.185)	Loss 5.2027 (5.0003)	Prec@1 3.906 (4.786)	Prec@5 14.453 (16.253)
Epoch: [21][5680/7045]	Time 0.157 (0.249)	Data 0.099 (0.185)	Loss 4.9773 (5.0003)	Prec@1 5.078 (4.785)	Prec@5 16.406 (16.252)
Epoch: [21][5690/7045]	Time 0.608 (0.249)	Data 0.555 (0.185)	Loss 5.0421 (5.0005)	Prec@1 5.078 (4.784)	Prec@5 17.578 (16.249)
Epoch: [21][5700/7045]	Time 0.100 (0.249)	Data 0.001 (0.185)	Loss 5.2233 (5.0005)	Prec@1 3.516 (4.784)	Prec@5 11.719 (16.246)
Epoch: [21][5710/7045]	Time 0.647 (0.249)	Data 0.595 (0.185)	Loss 4.9646 (5.0006)	Prec@1 4.297 (4.783)	Prec@5 15.234 (16.246)
Epoch: [21][5720/7045]	Time 0.111 (0.249)	Data 0.060 (0.185)	Loss 5.0707 (5.0005)	Prec@1 2.344 (4.783)	Prec@5 13.281 (16.246)
Epoch: [21][5730/7045]	Time 0.576 (0.249)	Data 0.525 (0.185)	Loss 5.0656 (5.0005)	Prec@1 4.688 (4.783)	Prec@5 17.578 (16.248)
Epoch: [21][5740/7045]	Time 0.103 (0.249)	Data 0.051 (0.184)	Loss 5.0088 (5.0006)	Prec@1 5.859 (4.783)	Prec@5 17.969 (16.248)
Epoch: [21][5750/7045]	Time 0.683 (0.249)	Data 0.632 (0.184)	Loss 5.0478 (5.0006)	Prec@1 3.516 (4.782)	Prec@5 14.844 (16.248)
Epoch: [21][5760/7045]	Time 0.105 (0.249)	Data 0.052 (0.184)	Loss 5.0677 (5.0008)	Prec@1 4.297 (4.781)	Prec@5 14.844 (16.246)
Epoch: [21][5770/7045]	Time 0.555 (0.249)	Data 0.503 (0.184)	Loss 5.0443 (5.0008)	Prec@1 3.125 (4.780)	Prec@5 13.672 (16.245)
Epoch: [21][5780/7045]	Time 0.096 (0.249)	Data 0.044 (0.184)	Loss 5.0019 (5.0009)	Prec@1 7.031 (4.780)	Prec@5 21.484 (16.244)
Epoch: [21][5790/7045]	Time 0.550 (0.249)	Data 0.498 (0.184)	Loss 4.9286 (5.0009)	Prec@1 4.688 (4.779)	Prec@5 17.578 (16.244)
Epoch: [21][5800/7045]	Time 0.238 (0.249)	Data 0.187 (0.184)	Loss 4.9484 (5.0009)	Prec@1 6.250 (4.780)	Prec@5 16.797 (16.245)
Epoch: [21][5810/7045]	Time 0.516 (0.249)	Data 0.464 (0.184)	Loss 4.9813 (5.0008)	Prec@1 4.297 (4.780)	Prec@5 19.141 (16.247)
Epoch: [21][5820/7045]	Time 0.106 (0.249)	Data 0.053 (0.184)	Loss 5.0311 (5.0009)	Prec@1 4.297 (4.780)	Prec@5 15.625 (16.248)
Epoch: [21][5830/7045]	Time 0.653 (0.249)	Data 0.603 (0.184)	Loss 5.1049 (5.0009)	Prec@1 4.297 (4.779)	Prec@5 16.406 (16.247)
Epoch: [21][5840/7045]	Time 0.198 (0.249)	Data 0.146 (0.184)	Loss 5.1155 (5.0009)	Prec@1 5.859 (4.780)	Prec@5 18.359 (16.248)
Epoch: [21][5850/7045]	Time 0.471 (0.249)	Data 0.421 (0.184)	Loss 5.0605 (5.0010)	Prec@1 5.469 (4.779)	Prec@5 13.281 (16.246)
Epoch: [21][5860/7045]	Time 0.265 (0.249)	Data 0.214 (0.184)	Loss 4.9914 (5.0011)	Prec@1 6.250 (4.779)	Prec@5 16.016 (16.245)
Epoch: [21][5870/7045]	Time 0.530 (0.249)	Data 0.479 (0.184)	Loss 5.0252 (5.0011)	Prec@1 8.203 (4.779)	Prec@5 17.188 (16.246)
Epoch: [21][5880/7045]	Time 0.260 (0.249)	Data 0.209 (0.184)	Loss 5.0171 (5.0011)	Prec@1 3.516 (4.779)	Prec@5 12.109 (16.245)
Epoch: [21][5890/7045]	Time 0.404 (0.249)	Data 0.352 (0.184)	Loss 5.0858 (5.0011)	Prec@1 4.688 (4.780)	Prec@5 16.406 (16.246)
Epoch: [21][5900/7045]	Time 0.281 (0.249)	Data 0.229 (0.184)	Loss 4.9354 (5.0010)	Prec@1 5.469 (4.780)	Prec@5 18.750 (16.249)
Epoch: [21][5910/7045]	Time 0.565 (0.249)	Data 0.514 (0.184)	Loss 4.9004 (5.0010)	Prec@1 5.078 (4.780)	Prec@5 20.312 (16.249)
Epoch: [21][5920/7045]	Time 0.372 (0.249)	Data 0.322 (0.184)	Loss 4.9364 (5.0009)	Prec@1 6.250 (4.782)	Prec@5 16.016 (16.250)
Epoch: [21][5930/7045]	Time 0.321 (0.249)	Data 0.270 (0.184)	Loss 5.0910 (5.0008)	Prec@1 3.906 (4.783)	Prec@5 15.625 (16.252)
Epoch: [21][5940/7045]	Time 0.324 (0.249)	Data 0.274 (0.184)	Loss 5.0557 (5.0009)	Prec@1 3.516 (4.782)	Prec@5 13.281 (16.250)
Epoch: [21][5950/7045]	Time 0.372 (0.249)	Data 0.316 (0.184)	Loss 5.0787 (5.0009)	Prec@1 5.078 (4.782)	Prec@5 14.453 (16.252)
Epoch: [21][5960/7045]	Time 0.453 (0.249)	Data 0.401 (0.184)	Loss 5.0828 (5.0009)	Prec@1 5.859 (4.783)	Prec@5 16.406 (16.254)
Epoch: [21][5970/7045]	Time 0.408 (0.249)	Data 0.357 (0.184)	Loss 5.0109 (5.0008)	Prec@1 4.688 (4.783)	Prec@5 17.578 (16.254)
Epoch: [21][5980/7045]	Time 0.198 (0.249)	Data 0.146 (0.184)	Loss 4.8477 (5.0008)	Prec@1 6.250 (4.784)	Prec@5 18.359 (16.255)
Epoch: [21][5990/7045]	Time 0.593 (0.249)	Data 0.542 (0.184)	Loss 5.0814 (5.0007)	Prec@1 5.078 (4.783)	Prec@5 14.844 (16.255)
Epoch: [21][6000/7045]	Time 0.100 (0.249)	Data 0.046 (0.184)	Loss 4.9754 (5.0007)	Prec@1 6.641 (4.783)	Prec@5 18.359 (16.256)
Epoch: [21][6010/7045]	Time 0.456 (0.249)	Data 0.404 (0.184)	Loss 5.0510 (5.0007)	Prec@1 3.906 (4.783)	Prec@5 15.234 (16.256)
Epoch: [21][6020/7045]	Time 0.103 (0.249)	Data 0.013 (0.184)	Loss 5.0805 (5.0007)	Prec@1 4.297 (4.784)	Prec@5 16.016 (16.255)
Epoch: [21][6030/7045]	Time 0.670 (0.249)	Data 0.619 (0.184)	Loss 5.2363 (5.0009)	Prec@1 3.125 (4.782)	Prec@5 9.766 (16.252)
Epoch: [21][6040/7045]	Time 0.099 (0.249)	Data 0.001 (0.184)	Loss 5.0305 (5.0011)	Prec@1 5.078 (4.782)	Prec@5 19.922 (16.250)
Epoch: [21][6050/7045]	Time 0.578 (0.249)	Data 0.528 (0.184)	Loss 5.0275 (5.0012)	Prec@1 3.906 (4.781)	Prec@5 15.234 (16.248)
Epoch: [21][6060/7045]	Time 0.103 (0.249)	Data 0.001 (0.184)	Loss 5.0191 (5.0012)	Prec@1 5.859 (4.780)	Prec@5 16.016 (16.247)
Epoch: [21][6070/7045]	Time 0.610 (0.249)	Data 0.559 (0.184)	Loss 5.0902 (5.0012)	Prec@1 3.125 (4.779)	Prec@5 14.844 (16.246)
Epoch: [21][6080/7045]	Time 0.108 (0.249)	Data 0.056 (0.184)	Loss 5.1760 (5.0013)	Prec@1 5.078 (4.779)	Prec@5 14.844 (16.244)
Epoch: [21][6090/7045]	Time 0.213 (0.249)	Data 0.163 (0.184)	Loss 5.1140 (5.0015)	Prec@1 2.734 (4.778)	Prec@5 10.547 (16.241)
Epoch: [21][6100/7045]	Time 0.131 (0.249)	Data 0.079 (0.184)	Loss 5.0194 (5.0017)	Prec@1 2.344 (4.777)	Prec@5 13.672 (16.240)
Epoch: [21][6110/7045]	Time 0.108 (0.249)	Data 0.056 (0.184)	Loss 4.9979 (5.0017)	Prec@1 3.125 (4.777)	Prec@5 16.797 (16.239)
Epoch: [21][6120/7045]	Time 0.102 (0.249)	Data 0.008 (0.184)	Loss 5.0218 (5.0016)	Prec@1 4.297 (4.777)	Prec@5 16.406 (16.240)
Epoch: [21][6130/7045]	Time 0.143 (0.249)	Data 0.092 (0.184)	Loss 4.9148 (5.0016)	Prec@1 7.031 (4.777)	Prec@5 17.578 (16.240)
Epoch: [21][6140/7045]	Time 0.194 (0.249)	Data 0.142 (0.184)	Loss 4.9647 (5.0015)	Prec@1 3.906 (4.777)	Prec@5 14.844 (16.240)
Epoch: [21][6150/7045]	Time 0.357 (0.249)	Data 0.306 (0.184)	Loss 4.9622 (5.0016)	Prec@1 6.641 (4.778)	Prec@5 17.578 (16.240)
Epoch: [21][6160/7045]	Time 0.101 (0.249)	Data 0.044 (0.184)	Loss 4.9587 (5.0015)	Prec@1 3.125 (4.779)	Prec@5 13.281 (16.241)
Epoch: [21][6170/7045]	Time 0.421 (0.249)	Data 0.370 (0.184)	Loss 5.1065 (5.0015)	Prec@1 5.859 (4.780)	Prec@5 14.062 (16.244)
Epoch: [21][6180/7045]	Time 0.117 (0.249)	Data 0.056 (0.184)	Loss 4.9548 (5.0014)	Prec@1 6.641 (4.781)	Prec@5 17.969 (16.245)
Epoch: [21][6190/7045]	Time 0.242 (0.249)	Data 0.192 (0.184)	Loss 4.9692 (5.0014)	Prec@1 5.469 (4.780)	Prec@5 13.672 (16.244)
Epoch: [21][6200/7045]	Time 0.362 (0.249)	Data 0.311 (0.184)	Loss 4.9940 (5.0014)	Prec@1 6.250 (4.781)	Prec@5 14.844 (16.244)
Epoch: [21][6210/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 4.9492 (5.0014)	Prec@1 5.859 (4.782)	Prec@5 20.703 (16.245)
Epoch: [21][6220/7045]	Time 0.469 (0.249)	Data 0.419 (0.184)	Loss 5.0330 (5.0014)	Prec@1 3.906 (4.781)	Prec@5 15.625 (16.244)
Epoch: [21][6230/7045]	Time 0.111 (0.249)	Data 0.058 (0.184)	Loss 4.9957 (5.0013)	Prec@1 3.125 (4.781)	Prec@5 12.891 (16.245)
Epoch: [21][6240/7045]	Time 0.299 (0.249)	Data 0.250 (0.184)	Loss 4.9728 (5.0014)	Prec@1 5.469 (4.781)	Prec@5 16.406 (16.244)
Epoch: [21][6250/7045]	Time 0.254 (0.249)	Data 0.203 (0.184)	Loss 5.0175 (5.0014)	Prec@1 4.297 (4.781)	Prec@5 14.062 (16.243)
Epoch: [21][6260/7045]	Time 0.104 (0.249)	Data 0.052 (0.184)	Loss 4.9691 (5.0014)	Prec@1 3.125 (4.781)	Prec@5 13.672 (16.243)
Epoch: [21][6270/7045]	Time 0.235 (0.249)	Data 0.184 (0.184)	Loss 5.0432 (5.0015)	Prec@1 4.297 (4.782)	Prec@5 14.453 (16.244)
Epoch: [21][6280/7045]	Time 0.102 (0.249)	Data 0.009 (0.184)	Loss 4.9283 (5.0014)	Prec@1 6.641 (4.783)	Prec@5 19.141 (16.244)
Epoch: [21][6290/7045]	Time 0.120 (0.249)	Data 0.069 (0.184)	Loss 4.9981 (5.0014)	Prec@1 3.516 (4.783)	Prec@5 16.797 (16.245)
Epoch: [21][6300/7045]	Time 0.135 (0.249)	Data 0.082 (0.184)	Loss 4.9519 (5.0014)	Prec@1 5.078 (4.783)	Prec@5 16.016 (16.244)
Epoch: [21][6310/7045]	Time 0.111 (0.249)	Data 0.053 (0.184)	Loss 4.9911 (5.0015)	Prec@1 4.688 (4.782)	Prec@5 14.844 (16.244)
Epoch: [21][6320/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 4.9394 (5.0016)	Prec@1 4.688 (4.782)	Prec@5 15.625 (16.244)
Epoch: [21][6330/7045]	Time 0.103 (0.249)	Data 0.049 (0.184)	Loss 5.0955 (5.0016)	Prec@1 5.469 (4.782)	Prec@5 19.531 (16.243)
Epoch: [21][6340/7045]	Time 0.099 (0.249)	Data 0.001 (0.184)	Loss 4.9438 (5.0016)	Prec@1 6.250 (4.781)	Prec@5 15.234 (16.242)
Epoch: [21][6350/7045]	Time 0.231 (0.249)	Data 0.179 (0.184)	Loss 4.8821 (5.0017)	Prec@1 4.688 (4.781)	Prec@5 20.312 (16.243)
Epoch: [21][6360/7045]	Time 0.207 (0.249)	Data 0.155 (0.184)	Loss 5.0175 (5.0016)	Prec@1 4.688 (4.780)	Prec@5 15.625 (16.243)
Epoch: [21][6370/7045]	Time 0.116 (0.249)	Data 0.057 (0.184)	Loss 4.8989 (5.0016)	Prec@1 5.078 (4.780)	Prec@5 17.188 (16.243)
Epoch: [21][6380/7045]	Time 0.555 (0.249)	Data 0.503 (0.184)	Loss 5.0376 (5.0016)	Prec@1 6.250 (4.781)	Prec@5 16.406 (16.242)
Epoch: [21][6390/7045]	Time 0.112 (0.249)	Data 0.012 (0.184)	Loss 4.9316 (5.0016)	Prec@1 4.297 (4.781)	Prec@5 16.016 (16.243)
Epoch: [21][6400/7045]	Time 0.903 (0.249)	Data 0.852 (0.184)	Loss 5.0333 (5.0016)	Prec@1 5.859 (4.780)	Prec@5 16.797 (16.242)
Epoch: [21][6410/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 4.9885 (5.0016)	Prec@1 4.688 (4.780)	Prec@5 16.016 (16.242)
Epoch: [21][6420/7045]	Time 0.543 (0.249)	Data 0.491 (0.184)	Loss 4.8964 (5.0016)	Prec@1 6.641 (4.781)	Prec@5 16.406 (16.242)
Epoch: [21][6430/7045]	Time 0.110 (0.249)	Data 0.059 (0.184)	Loss 4.9173 (5.0015)	Prec@1 3.906 (4.781)	Prec@5 15.234 (16.243)
Epoch: [21][6440/7045]	Time 0.800 (0.249)	Data 0.749 (0.184)	Loss 4.9440 (5.0015)	Prec@1 4.297 (4.780)	Prec@5 17.578 (16.243)
Epoch: [21][6450/7045]	Time 0.102 (0.249)	Data 0.009 (0.184)	Loss 4.7861 (5.0015)	Prec@1 7.031 (4.780)	Prec@5 20.703 (16.243)
Epoch: [21][6460/7045]	Time 0.457 (0.249)	Data 0.395 (0.184)	Loss 5.0791 (5.0016)	Prec@1 3.516 (4.778)	Prec@5 13.281 (16.240)
Epoch: [21][6470/7045]	Time 0.157 (0.249)	Data 0.105 (0.184)	Loss 5.0178 (5.0016)	Prec@1 3.516 (4.778)	Prec@5 19.141 (16.240)
Epoch: [21][6480/7045]	Time 0.109 (0.249)	Data 0.002 (0.184)	Loss 5.0551 (5.0017)	Prec@1 3.516 (4.777)	Prec@5 19.531 (16.238)
Epoch: [21][6490/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 4.8789 (5.0017)	Prec@1 5.078 (4.777)	Prec@5 18.750 (16.237)
Epoch: [21][6500/7045]	Time 0.116 (0.249)	Data 0.062 (0.184)	Loss 4.9228 (5.0017)	Prec@1 4.297 (4.776)	Prec@5 18.750 (16.236)
Epoch: [21][6510/7045]	Time 0.115 (0.249)	Data 0.061 (0.184)	Loss 5.0522 (5.0018)	Prec@1 5.469 (4.777)	Prec@5 15.625 (16.236)
Epoch: [21][6520/7045]	Time 0.182 (0.249)	Data 0.130 (0.184)	Loss 4.8450 (5.0018)	Prec@1 5.469 (4.777)	Prec@5 19.141 (16.237)
Epoch: [21][6530/7045]	Time 0.440 (0.249)	Data 0.389 (0.184)	Loss 5.0071 (5.0017)	Prec@1 3.516 (4.777)	Prec@5 18.359 (16.237)
Epoch: [21][6540/7045]	Time 0.386 (0.249)	Data 0.333 (0.184)	Loss 5.1389 (5.0017)	Prec@1 4.688 (4.778)	Prec@5 13.672 (16.236)
Epoch: [21][6550/7045]	Time 0.516 (0.249)	Data 0.465 (0.184)	Loss 4.9428 (5.0017)	Prec@1 5.469 (4.778)	Prec@5 16.016 (16.236)
Epoch: [21][6560/7045]	Time 0.182 (0.249)	Data 0.123 (0.184)	Loss 4.9788 (5.0017)	Prec@1 3.906 (4.778)	Prec@5 17.188 (16.236)
Epoch: [21][6570/7045]	Time 0.284 (0.249)	Data 0.232 (0.184)	Loss 4.9578 (5.0017)	Prec@1 3.516 (4.778)	Prec@5 19.141 (16.235)
Epoch: [21][6580/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 5.0830 (5.0017)	Prec@1 5.469 (4.779)	Prec@5 16.797 (16.236)
Epoch: [21][6590/7045]	Time 0.689 (0.249)	Data 0.638 (0.184)	Loss 5.0221 (5.0016)	Prec@1 5.078 (4.779)	Prec@5 20.312 (16.238)
Epoch: [21][6600/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 5.0085 (5.0016)	Prec@1 3.906 (4.780)	Prec@5 13.672 (16.238)
Epoch: [21][6610/7045]	Time 0.509 (0.249)	Data 0.449 (0.184)	Loss 4.9275 (5.0015)	Prec@1 5.469 (4.780)	Prec@5 16.406 (16.237)
Epoch: [21][6620/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 4.9042 (5.0014)	Prec@1 7.812 (4.781)	Prec@5 21.484 (16.241)
Epoch: [21][6630/7045]	Time 0.533 (0.249)	Data 0.481 (0.184)	Loss 4.8817 (5.0013)	Prec@1 5.078 (4.781)	Prec@5 19.141 (16.243)
Epoch: [21][6640/7045]	Time 0.112 (0.249)	Data 0.061 (0.184)	Loss 4.9755 (5.0013)	Prec@1 5.469 (4.782)	Prec@5 16.406 (16.245)
Epoch: [21][6650/7045]	Time 0.108 (0.249)	Data 0.001 (0.184)	Loss 4.8789 (5.0013)	Prec@1 5.859 (4.782)	Prec@5 19.141 (16.246)
Epoch: [21][6660/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 5.1139 (5.0012)	Prec@1 2.734 (4.782)	Prec@5 16.016 (16.246)
Epoch: [21][6670/7045]	Time 0.309 (0.249)	Data 0.259 (0.184)	Loss 5.0585 (5.0013)	Prec@1 4.297 (4.782)	Prec@5 14.062 (16.245)
Epoch: [21][6680/7045]	Time 0.202 (0.249)	Data 0.150 (0.184)	Loss 4.9255 (5.0014)	Prec@1 5.469 (4.780)	Prec@5 20.312 (16.244)
Epoch: [21][6690/7045]	Time 0.375 (0.249)	Data 0.317 (0.184)	Loss 5.0646 (5.0015)	Prec@1 4.297 (4.780)	Prec@5 15.625 (16.243)
Epoch: [21][6700/7045]	Time 0.278 (0.249)	Data 0.217 (0.184)	Loss 5.1095 (5.0015)	Prec@1 4.297 (4.780)	Prec@5 16.406 (16.243)
Epoch: [21][6710/7045]	Time 0.499 (0.249)	Data 0.447 (0.184)	Loss 4.9880 (5.0015)	Prec@1 4.688 (4.780)	Prec@5 15.625 (16.243)
Epoch: [21][6720/7045]	Time 0.169 (0.249)	Data 0.118 (0.184)	Loss 4.9274 (5.0015)	Prec@1 5.469 (4.781)	Prec@5 19.141 (16.244)
Epoch: [21][6730/7045]	Time 0.591 (0.249)	Data 0.535 (0.184)	Loss 4.8174 (5.0014)	Prec@1 4.688 (4.781)	Prec@5 19.922 (16.247)
Epoch: [21][6740/7045]	Time 0.157 (0.249)	Data 0.106 (0.184)	Loss 5.1656 (5.0013)	Prec@1 3.516 (4.782)	Prec@5 14.453 (16.250)
Epoch: [21][6750/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 5.1081 (5.0013)	Prec@1 3.906 (4.783)	Prec@5 16.406 (16.252)
Epoch: [21][6760/7045]	Time 0.501 (0.249)	Data 0.451 (0.184)	Loss 4.9997 (5.0013)	Prec@1 5.469 (4.783)	Prec@5 19.141 (16.252)
Epoch: [21][6770/7045]	Time 0.109 (0.249)	Data 0.016 (0.184)	Loss 4.9630 (5.0013)	Prec@1 4.688 (4.784)	Prec@5 16.016 (16.252)
Epoch: [21][6780/7045]	Time 0.726 (0.249)	Data 0.676 (0.184)	Loss 5.1731 (5.0013)	Prec@1 4.297 (4.785)	Prec@5 12.891 (16.253)
Epoch: [21][6790/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 4.9919 (5.0013)	Prec@1 4.297 (4.785)	Prec@5 16.406 (16.254)
Epoch: [21][6800/7045]	Time 0.570 (0.249)	Data 0.519 (0.184)	Loss 5.1472 (5.0013)	Prec@1 4.688 (4.784)	Prec@5 12.500 (16.253)
Epoch: [21][6810/7045]	Time 0.114 (0.249)	Data 0.064 (0.183)	Loss 5.1789 (5.0014)	Prec@1 4.297 (4.785)	Prec@5 12.891 (16.253)
Epoch: [21][6820/7045]	Time 0.476 (0.249)	Data 0.426 (0.183)	Loss 4.9497 (5.0014)	Prec@1 4.688 (4.784)	Prec@5 15.234 (16.252)
Epoch: [21][6830/7045]	Time 0.163 (0.249)	Data 0.113 (0.183)	Loss 4.9548 (5.0014)	Prec@1 5.078 (4.785)	Prec@5 15.234 (16.252)
Epoch: [21][6840/7045]	Time 0.187 (0.249)	Data 0.129 (0.183)	Loss 4.9327 (5.0013)	Prec@1 4.297 (4.784)	Prec@5 18.359 (16.254)
Epoch: [21][6850/7045]	Time 0.284 (0.249)	Data 0.234 (0.183)	Loss 4.8953 (5.0013)	Prec@1 8.203 (4.785)	Prec@5 20.312 (16.254)
Epoch: [21][6860/7045]	Time 0.113 (0.249)	Data 0.006 (0.183)	Loss 5.1903 (5.0013)	Prec@1 4.297 (4.785)	Prec@5 11.328 (16.254)
Epoch: [21][6870/7045]	Time 0.162 (0.249)	Data 0.111 (0.183)	Loss 4.9164 (5.0013)	Prec@1 8.203 (4.786)	Prec@5 19.141 (16.253)
Epoch: [21][6880/7045]	Time 0.111 (0.249)	Data 0.008 (0.183)	Loss 4.8557 (5.0012)	Prec@1 7.812 (4.785)	Prec@5 20.312 (16.253)
Epoch: [21][6890/7045]	Time 0.102 (0.249)	Data 0.019 (0.183)	Loss 5.0499 (5.0012)	Prec@1 4.297 (4.784)	Prec@5 16.016 (16.252)
Epoch: [21][6900/7045]	Time 0.100 (0.249)	Data 0.045 (0.183)	Loss 4.9393 (5.0012)	Prec@1 5.859 (4.784)	Prec@5 17.188 (16.251)
Epoch: [21][6910/7045]	Time 0.101 (0.249)	Data 0.010 (0.183)	Loss 5.0368 (5.0012)	Prec@1 4.688 (4.784)	Prec@5 14.453 (16.251)
Epoch: [21][6920/7045]	Time 0.111 (0.249)	Data 0.009 (0.183)	Loss 4.8143 (5.0011)	Prec@1 5.859 (4.783)	Prec@5 19.141 (16.252)
Epoch: [21][6930/7045]	Time 0.111 (0.248)	Data 0.059 (0.183)	Loss 5.1668 (5.0011)	Prec@1 3.125 (4.783)	Prec@5 14.062 (16.253)
Epoch: [21][6940/7045]	Time 0.105 (0.249)	Data 0.054 (0.183)	Loss 5.0728 (5.0011)	Prec@1 6.250 (4.784)	Prec@5 15.625 (16.254)
Epoch: [21][6950/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 4.9993 (5.0011)	Prec@1 2.344 (4.784)	Prec@5 19.531 (16.254)
Epoch: [21][6960/7045]	Time 0.205 (0.249)	Data 0.153 (0.183)	Loss 5.0921 (5.0012)	Prec@1 4.297 (4.782)	Prec@5 14.844 (16.252)
Epoch: [21][6970/7045]	Time 0.144 (0.248)	Data 0.093 (0.183)	Loss 5.1221 (5.0012)	Prec@1 5.078 (4.783)	Prec@5 12.109 (16.252)
Epoch: [21][6980/7045]	Time 0.319 (0.249)	Data 0.268 (0.183)	Loss 4.9876 (5.0012)	Prec@1 3.906 (4.783)	Prec@5 17.188 (16.252)
Epoch: [21][6990/7045]	Time 0.107 (0.249)	Data 0.001 (0.183)	Loss 4.9903 (5.0011)	Prec@1 4.297 (4.783)	Prec@5 15.625 (16.252)
Epoch: [21][7000/7045]	Time 0.147 (0.248)	Data 0.093 (0.183)	Loss 5.0084 (5.0011)	Prec@1 2.344 (4.783)	Prec@5 17.188 (16.254)
Epoch: [21][7010/7045]	Time 0.102 (0.249)	Data 0.011 (0.183)	Loss 5.0469 (5.0010)	Prec@1 3.125 (4.783)	Prec@5 16.797 (16.255)
Epoch: [21][7020/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 5.0888 (5.0010)	Prec@1 3.906 (4.784)	Prec@5 14.062 (16.257)
Epoch: [21][7030/7045]	Time 0.209 (0.249)	Data 0.150 (0.183)	Loss 5.0143 (5.0009)	Prec@1 5.859 (4.784)	Prec@5 18.359 (16.259)
Epoch: [21][7040/7045]	Time 0.100 (0.248)	Data 0.000 (0.183)	Loss 4.9985 (5.0009)	Prec@1 3.516 (4.784)	Prec@5 19.141 (16.260)
Test: [0/143]	Time 1.396 (1.396)	Loss 4.7425 (4.7425)	Prec@1 5.469 (5.469)	Prec@5 19.922 (19.922)
Test: [10/143]	Time 0.049 (0.272)	Loss 4.7605 (4.8499)	Prec@1 3.906 (5.930)	Prec@5 19.922 (19.460)
Test: [20/143]	Time 0.357 (0.241)	Loss 4.9947 (4.8333)	Prec@1 4.688 (6.138)	Prec@5 14.062 (21.540)
Test: [30/143]	Time 0.206 (0.227)	Loss 4.8645 (4.8771)	Prec@1 6.641 (5.935)	Prec@5 23.047 (20.312)
Test: [40/143]	Time 0.278 (0.223)	Loss 5.0956 (4.8802)	Prec@1 0.391 (5.640)	Prec@5 1.562 (19.750)
Test: [50/143]	Time 0.212 (0.218)	Loss 4.7570 (4.9027)	Prec@1 3.906 (5.362)	Prec@5 23.047 (18.635)
Test: [60/143]	Time 0.151 (0.214)	Loss 5.1622 (4.9051)	Prec@1 0.781 (5.341)	Prec@5 8.594 (18.763)
Test: [70/143]	Time 0.150 (0.209)	Loss 4.9733 (4.8999)	Prec@1 3.906 (5.573)	Prec@5 15.625 (18.893)
Test: [80/143]	Time 0.127 (0.209)	Loss 4.8108 (4.8937)	Prec@1 4.297 (5.623)	Prec@5 21.875 (19.145)
Test: [90/143]	Time 0.212 (0.208)	Loss 4.4575 (4.8915)	Prec@1 10.156 (5.748)	Prec@5 36.328 (19.377)
Test: [100/143]	Time 0.049 (0.208)	Loss 4.3713 (4.8893)	Prec@1 15.625 (5.705)	Prec@5 45.703 (19.582)
Test: [110/143]	Time 0.048 (0.206)	Loss 4.6719 (4.8904)	Prec@1 11.719 (5.733)	Prec@5 26.562 (19.538)
Test: [120/143]	Time 0.063 (0.204)	Loss 5.0971 (4.8833)	Prec@1 0.781 (6.005)	Prec@5 8.594 (19.712)
Test: [130/143]	Time 0.063 (0.204)	Loss 4.5208 (4.8833)	Prec@1 19.141 (5.988)	Prec@5 26.562 (19.492)
Test: [140/143]	Time 0.139 (0.203)	Loss 4.9518 (4.8928)	Prec@1 5.859 (5.857)	Prec@5 20.312 (19.202)
 * Prec@1 5.871 Prec@5 19.227
Epoch: [22][0/7045]	Time 2.539 (2.539)	Data 2.482 (2.482)	Loss 5.0968 (5.0968)	Prec@1 3.516 (3.516)	Prec@5 14.062 (14.062)
Epoch: [22][10/7045]	Time 0.101 (0.480)	Data 0.001 (0.409)	Loss 4.8248 (4.9820)	Prec@1 7.031 (4.865)	Prec@5 19.531 (16.903)
Epoch: [22][20/7045]	Time 0.406 (0.371)	Data 0.354 (0.305)	Loss 4.9559 (4.9914)	Prec@1 5.078 (4.688)	Prec@5 16.797 (16.536)
Epoch: [22][30/7045]	Time 0.321 (0.334)	Data 0.269 (0.270)	Loss 5.0732 (4.9956)	Prec@1 7.031 (4.725)	Prec@5 13.672 (16.318)
Epoch: [22][40/7045]	Time 0.551 (0.315)	Data 0.499 (0.252)	Loss 4.8890 (5.0086)	Prec@1 4.688 (4.325)	Prec@5 17.578 (15.835)
Epoch: [22][50/7045]	Time 0.136 (0.297)	Data 0.083 (0.235)	Loss 4.9362 (5.0036)	Prec@1 3.516 (4.389)	Prec@5 19.922 (15.970)
Epoch: [22][60/7045]	Time 0.445 (0.292)	Data 0.395 (0.232)	Loss 5.0755 (5.0020)	Prec@1 4.688 (4.540)	Prec@5 14.062 (16.009)
Epoch: [22][70/7045]	Time 0.140 (0.287)	Data 0.082 (0.227)	Loss 4.9176 (5.0050)	Prec@1 4.688 (4.583)	Prec@5 16.797 (15.933)
Epoch: [22][80/7045]	Time 0.330 (0.283)	Data 0.278 (0.222)	Loss 5.1679 (5.0076)	Prec@1 2.734 (4.586)	Prec@5 12.500 (15.943)
Epoch: [22][90/7045]	Time 0.307 (0.279)	Data 0.256 (0.219)	Loss 4.9449 (5.0036)	Prec@1 4.688 (4.572)	Prec@5 17.578 (16.003)
Epoch: [22][100/7045]	Time 0.102 (0.276)	Data 0.001 (0.216)	Loss 4.9468 (5.0065)	Prec@1 3.906 (4.568)	Prec@5 15.625 (15.903)
Epoch: [22][110/7045]	Time 0.537 (0.277)	Data 0.486 (0.217)	Loss 5.0065 (5.0085)	Prec@1 5.469 (4.561)	Prec@5 15.625 (15.907)
Epoch: [22][120/7045]	Time 0.101 (0.271)	Data 0.001 (0.211)	Loss 5.1628 (5.0133)	Prec@1 5.859 (4.533)	Prec@5 16.406 (15.741)
Epoch: [22][130/7045]	Time 0.414 (0.271)	Data 0.353 (0.210)	Loss 4.9973 (5.0162)	Prec@1 2.344 (4.470)	Prec@5 14.062 (15.646)
Epoch: [22][140/7045]	Time 0.101 (0.267)	Data 0.006 (0.205)	Loss 5.0353 (5.0174)	Prec@1 3.906 (4.480)	Prec@5 15.625 (15.730)
Epoch: [22][150/7045]	Time 0.175 (0.267)	Data 0.122 (0.205)	Loss 4.9526 (5.0149)	Prec@1 3.906 (4.579)	Prec@5 17.578 (15.796)
Epoch: [22][160/7045]	Time 0.332 (0.265)	Data 0.278 (0.204)	Loss 4.9216 (5.0093)	Prec@1 6.641 (4.649)	Prec@5 17.969 (15.865)
Epoch: [22][170/7045]	Time 0.110 (0.264)	Data 0.014 (0.202)	Loss 5.0423 (5.0084)	Prec@1 5.078 (4.662)	Prec@5 14.062 (15.904)
Epoch: [22][180/7045]	Time 0.416 (0.263)	Data 0.364 (0.202)	Loss 4.9556 (5.0110)	Prec@1 4.688 (4.631)	Prec@5 14.062 (15.836)
Epoch: [22][190/7045]	Time 0.295 (0.261)	Data 0.244 (0.201)	Loss 5.1037 (5.0131)	Prec@1 4.297 (4.628)	Prec@5 17.188 (15.840)
Epoch: [22][200/7045]	Time 0.419 (0.261)	Data 0.359 (0.200)	Loss 5.1672 (5.0149)	Prec@1 4.688 (4.619)	Prec@5 12.500 (15.808)
Epoch: [22][210/7045]	Time 0.350 (0.260)	Data 0.299 (0.199)	Loss 4.9653 (5.0135)	Prec@1 5.469 (4.612)	Prec@5 17.188 (15.845)
Epoch: [22][220/7045]	Time 0.317 (0.259)	Data 0.265 (0.198)	Loss 4.9790 (5.0147)	Prec@1 3.516 (4.578)	Prec@5 15.625 (15.821)
Epoch: [22][230/7045]	Time 0.265 (0.259)	Data 0.215 (0.198)	Loss 5.0650 (5.0135)	Prec@1 3.516 (4.608)	Prec@5 15.625 (15.874)
Epoch: [22][240/7045]	Time 0.104 (0.257)	Data 0.052 (0.196)	Loss 4.8905 (5.0106)	Prec@1 6.250 (4.649)	Prec@5 23.438 (15.991)
Epoch: [22][250/7045]	Time 0.221 (0.258)	Data 0.171 (0.197)	Loss 5.0375 (5.0110)	Prec@1 5.078 (4.658)	Prec@5 15.234 (15.978)
Epoch: [22][260/7045]	Time 0.101 (0.257)	Data 0.001 (0.196)	Loss 5.0316 (5.0096)	Prec@1 4.297 (4.689)	Prec@5 14.062 (15.995)
Epoch: [22][270/7045]	Time 0.265 (0.257)	Data 0.213 (0.197)	Loss 4.9468 (5.0073)	Prec@1 6.250 (4.728)	Prec@5 16.406 (16.039)
Epoch: [22][280/7045]	Time 0.321 (0.257)	Data 0.269 (0.196)	Loss 4.9682 (5.0060)	Prec@1 3.906 (4.751)	Prec@5 15.625 (16.080)
Epoch: [22][290/7045]	Time 0.339 (0.256)	Data 0.286 (0.196)	Loss 4.9871 (5.0057)	Prec@1 3.906 (4.760)	Prec@5 14.453 (16.110)
Epoch: [22][300/7045]	Time 0.578 (0.256)	Data 0.528 (0.196)	Loss 4.9881 (5.0051)	Prec@1 3.516 (4.774)	Prec@5 15.625 (16.144)
Epoch: [22][310/7045]	Time 0.110 (0.255)	Data 0.009 (0.194)	Loss 4.9067 (5.0048)	Prec@1 7.422 (4.783)	Prec@5 20.312 (16.137)
Epoch: [22][320/7045]	Time 0.615 (0.256)	Data 0.553 (0.195)	Loss 5.0779 (5.0044)	Prec@1 3.516 (4.785)	Prec@5 12.891 (16.124)
Epoch: [22][330/7045]	Time 0.233 (0.255)	Data 0.172 (0.194)	Loss 5.0845 (5.0052)	Prec@1 2.344 (4.765)	Prec@5 13.672 (16.098)
Epoch: [22][340/7045]	Time 0.496 (0.255)	Data 0.445 (0.194)	Loss 5.0531 (5.0059)	Prec@1 5.469 (4.752)	Prec@5 14.062 (16.073)
Epoch: [22][350/7045]	Time 0.268 (0.254)	Data 0.216 (0.193)	Loss 4.9091 (5.0058)	Prec@1 3.516 (4.732)	Prec@5 15.625 (16.069)
Epoch: [22][360/7045]	Time 0.203 (0.254)	Data 0.152 (0.193)	Loss 5.1665 (5.0054)	Prec@1 3.516 (4.722)	Prec@5 13.281 (16.051)
Epoch: [22][370/7045]	Time 0.102 (0.253)	Data 0.014 (0.192)	Loss 5.0303 (5.0054)	Prec@1 5.469 (4.721)	Prec@5 18.359 (16.070)
Epoch: [22][380/7045]	Time 0.447 (0.254)	Data 0.396 (0.193)	Loss 5.0616 (5.0044)	Prec@1 4.688 (4.722)	Prec@5 16.406 (16.080)
Epoch: [22][390/7045]	Time 0.136 (0.254)	Data 0.077 (0.193)	Loss 4.9178 (5.0040)	Prec@1 5.469 (4.741)	Prec@5 17.188 (16.114)
Epoch: [22][400/7045]	Time 0.123 (0.253)	Data 0.072 (0.192)	Loss 5.0756 (5.0044)	Prec@1 3.125 (4.744)	Prec@5 13.672 (16.106)
Epoch: [22][410/7045]	Time 0.233 (0.254)	Data 0.182 (0.193)	Loss 4.9396 (5.0037)	Prec@1 3.516 (4.766)	Prec@5 12.109 (16.114)
Epoch: [22][420/7045]	Time 0.117 (0.253)	Data 0.065 (0.192)	Loss 5.1309 (5.0055)	Prec@1 5.078 (4.747)	Prec@5 13.672 (16.091)
Epoch: [22][430/7045]	Time 0.292 (0.253)	Data 0.239 (0.192)	Loss 4.9923 (5.0063)	Prec@1 5.469 (4.736)	Prec@5 17.188 (16.085)
Epoch: [22][440/7045]	Time 0.122 (0.254)	Data 0.070 (0.192)	Loss 4.9621 (5.0073)	Prec@1 3.906 (4.735)	Prec@5 16.406 (16.081)
Epoch: [22][450/7045]	Time 0.179 (0.253)	Data 0.128 (0.192)	Loss 5.0446 (5.0069)	Prec@1 3.516 (4.730)	Prec@5 14.062 (16.082)
Epoch: [22][460/7045]	Time 0.276 (0.253)	Data 0.225 (0.192)	Loss 4.9524 (5.0061)	Prec@1 3.516 (4.732)	Prec@5 18.750 (16.099)
Epoch: [22][470/7045]	Time 0.501 (0.254)	Data 0.449 (0.192)	Loss 5.0156 (5.0056)	Prec@1 4.297 (4.727)	Prec@5 13.281 (16.107)
Epoch: [22][480/7045]	Time 0.166 (0.253)	Data 0.115 (0.192)	Loss 5.0395 (5.0055)	Prec@1 5.078 (4.724)	Prec@5 17.578 (16.091)
Epoch: [22][490/7045]	Time 0.332 (0.253)	Data 0.282 (0.192)	Loss 4.9991 (5.0060)	Prec@1 3.516 (4.723)	Prec@5 16.016 (16.090)
Epoch: [22][500/7045]	Time 0.320 (0.253)	Data 0.269 (0.192)	Loss 4.8609 (5.0055)	Prec@1 5.859 (4.736)	Prec@5 19.141 (16.097)
Epoch: [22][510/7045]	Time 0.240 (0.253)	Data 0.182 (0.191)	Loss 5.0754 (5.0053)	Prec@1 5.078 (4.734)	Prec@5 13.672 (16.107)
Epoch: [22][520/7045]	Time 0.476 (0.253)	Data 0.424 (0.191)	Loss 4.9649 (5.0062)	Prec@1 5.078 (4.729)	Prec@5 16.406 (16.087)
Epoch: [22][530/7045]	Time 0.100 (0.253)	Data 0.001 (0.191)	Loss 4.9591 (5.0063)	Prec@1 6.250 (4.723)	Prec@5 17.969 (16.089)
Epoch: [22][540/7045]	Time 0.628 (0.253)	Data 0.577 (0.191)	Loss 5.1106 (5.0049)	Prec@1 3.516 (4.740)	Prec@5 14.062 (16.110)
Epoch: [22][550/7045]	Time 0.101 (0.252)	Data 0.001 (0.190)	Loss 4.9478 (5.0046)	Prec@1 5.859 (4.738)	Prec@5 17.578 (16.114)
Epoch: [22][560/7045]	Time 0.651 (0.253)	Data 0.601 (0.190)	Loss 4.9166 (5.0031)	Prec@1 3.906 (4.756)	Prec@5 14.453 (16.132)
Epoch: [22][570/7045]	Time 0.166 (0.252)	Data 0.115 (0.189)	Loss 4.9595 (5.0027)	Prec@1 5.078 (4.749)	Prec@5 18.359 (16.139)
Epoch: [22][580/7045]	Time 0.202 (0.252)	Data 0.151 (0.189)	Loss 4.9519 (5.0037)	Prec@1 7.422 (4.739)	Prec@5 16.797 (16.118)
Epoch: [22][590/7045]	Time 0.572 (0.252)	Data 0.515 (0.190)	Loss 4.9991 (5.0042)	Prec@1 5.859 (4.733)	Prec@5 16.797 (16.124)
Epoch: [22][600/7045]	Time 0.110 (0.252)	Data 0.059 (0.189)	Loss 5.0494 (5.0031)	Prec@1 3.516 (4.735)	Prec@5 16.797 (16.157)
Epoch: [22][610/7045]	Time 0.100 (0.252)	Data 0.045 (0.189)	Loss 4.8893 (5.0024)	Prec@1 3.516 (4.737)	Prec@5 18.750 (16.173)
Epoch: [22][620/7045]	Time 0.109 (0.252)	Data 0.057 (0.189)	Loss 5.0084 (5.0026)	Prec@1 5.859 (4.732)	Prec@5 17.578 (16.175)
Epoch: [22][630/7045]	Time 0.271 (0.252)	Data 0.220 (0.189)	Loss 4.9621 (5.0025)	Prec@1 5.078 (4.731)	Prec@5 16.016 (16.175)
Epoch: [22][640/7045]	Time 0.146 (0.252)	Data 0.096 (0.190)	Loss 5.0434 (5.0029)	Prec@1 6.641 (4.723)	Prec@5 17.578 (16.169)
Epoch: [22][650/7045]	Time 0.420 (0.252)	Data 0.368 (0.190)	Loss 4.9536 (5.0038)	Prec@1 5.859 (4.707)	Prec@5 16.406 (16.146)
Epoch: [22][660/7045]	Time 0.101 (0.252)	Data 0.001 (0.190)	Loss 4.9438 (5.0038)	Prec@1 4.688 (4.701)	Prec@5 18.359 (16.160)
Epoch: [22][670/7045]	Time 0.642 (0.252)	Data 0.588 (0.190)	Loss 4.9755 (5.0040)	Prec@1 5.859 (4.694)	Prec@5 19.922 (16.165)
Epoch: [22][680/7045]	Time 0.291 (0.252)	Data 0.238 (0.190)	Loss 4.9803 (5.0042)	Prec@1 3.906 (4.692)	Prec@5 17.188 (16.172)
Epoch: [22][690/7045]	Time 0.279 (0.252)	Data 0.226 (0.190)	Loss 5.1363 (5.0038)	Prec@1 3.516 (4.686)	Prec@5 13.672 (16.174)
Epoch: [22][700/7045]	Time 0.352 (0.252)	Data 0.301 (0.190)	Loss 4.8637 (5.0033)	Prec@1 5.469 (4.680)	Prec@5 18.750 (16.181)
Epoch: [22][710/7045]	Time 0.350 (0.253)	Data 0.288 (0.191)	Loss 4.9934 (5.0033)	Prec@1 4.297 (4.681)	Prec@5 14.453 (16.172)
Epoch: [22][720/7045]	Time 0.102 (0.252)	Data 0.001 (0.190)	Loss 5.0319 (5.0037)	Prec@1 3.906 (4.688)	Prec@5 11.328 (16.162)
Epoch: [22][730/7045]	Time 0.201 (0.252)	Data 0.150 (0.190)	Loss 4.9594 (5.0033)	Prec@1 8.203 (4.689)	Prec@5 17.188 (16.173)
Epoch: [22][740/7045]	Time 0.109 (0.253)	Data 0.006 (0.191)	Loss 4.9438 (5.0029)	Prec@1 5.078 (4.695)	Prec@5 18.359 (16.186)
Epoch: [22][750/7045]	Time 0.163 (0.252)	Data 0.112 (0.190)	Loss 4.9734 (5.0031)	Prec@1 3.516 (4.687)	Prec@5 16.797 (16.174)
Epoch: [22][760/7045]	Time 0.464 (0.253)	Data 0.412 (0.191)	Loss 4.9677 (5.0029)	Prec@1 5.469 (4.689)	Prec@5 17.969 (16.175)
Epoch: [22][770/7045]	Time 0.202 (0.252)	Data 0.145 (0.190)	Loss 4.9858 (5.0025)	Prec@1 4.297 (4.682)	Prec@5 14.453 (16.175)
Epoch: [22][780/7045]	Time 0.409 (0.253)	Data 0.357 (0.190)	Loss 4.9001 (5.0021)	Prec@1 4.297 (4.686)	Prec@5 20.703 (16.180)
Epoch: [22][790/7045]	Time 0.108 (0.253)	Data 0.003 (0.190)	Loss 5.1102 (5.0028)	Prec@1 2.734 (4.680)	Prec@5 15.234 (16.176)
Epoch: [22][800/7045]	Time 0.693 (0.253)	Data 0.639 (0.191)	Loss 5.0110 (5.0030)	Prec@1 3.906 (4.678)	Prec@5 15.234 (16.172)
Epoch: [22][810/7045]	Time 0.103 (0.252)	Data 0.001 (0.190)	Loss 4.9194 (5.0028)	Prec@1 4.297 (4.676)	Prec@5 15.625 (16.164)
Epoch: [22][820/7045]	Time 0.231 (0.253)	Data 0.179 (0.190)	Loss 4.9583 (5.0026)	Prec@1 5.469 (4.678)	Prec@5 17.578 (16.172)
Epoch: [22][830/7045]	Time 0.471 (0.253)	Data 0.420 (0.190)	Loss 4.9210 (5.0017)	Prec@1 5.469 (4.680)	Prec@5 17.969 (16.190)
Epoch: [22][840/7045]	Time 0.102 (0.253)	Data 0.001 (0.190)	Loss 4.9851 (5.0014)	Prec@1 3.906 (4.678)	Prec@5 16.016 (16.202)
Epoch: [22][850/7045]	Time 0.496 (0.253)	Data 0.444 (0.190)	Loss 4.9581 (5.0007)	Prec@1 3.516 (4.678)	Prec@5 17.188 (16.192)
Epoch: [22][860/7045]	Time 0.101 (0.252)	Data 0.001 (0.190)	Loss 4.9612 (5.0006)	Prec@1 5.859 (4.685)	Prec@5 18.750 (16.196)
Epoch: [22][870/7045]	Time 0.355 (0.252)	Data 0.304 (0.190)	Loss 4.8982 (5.0005)	Prec@1 4.688 (4.686)	Prec@5 17.969 (16.197)
Epoch: [22][880/7045]	Time 0.486 (0.253)	Data 0.435 (0.190)	Loss 5.1511 (5.0006)	Prec@1 1.172 (4.683)	Prec@5 10.156 (16.193)
Epoch: [22][890/7045]	Time 0.145 (0.252)	Data 0.094 (0.190)	Loss 4.8332 (5.0000)	Prec@1 7.031 (4.691)	Prec@5 19.141 (16.204)
Epoch: [22][900/7045]	Time 0.608 (0.253)	Data 0.556 (0.190)	Loss 4.8538 (4.9993)	Prec@1 5.859 (4.700)	Prec@5 16.406 (16.214)
Epoch: [22][910/7045]	Time 0.102 (0.252)	Data 0.001 (0.190)	Loss 4.9995 (4.9991)	Prec@1 4.297 (4.700)	Prec@5 12.891 (16.215)
Epoch: [22][920/7045]	Time 0.279 (0.252)	Data 0.228 (0.190)	Loss 5.1201 (5.0002)	Prec@1 2.344 (4.697)	Prec@5 10.938 (16.189)
Epoch: [22][930/7045]	Time 0.252 (0.252)	Data 0.200 (0.190)	Loss 4.9880 (5.0011)	Prec@1 7.031 (4.694)	Prec@5 17.969 (16.183)
Epoch: [22][940/7045]	Time 0.107 (0.252)	Data 0.001 (0.190)	Loss 5.0009 (5.0012)	Prec@1 4.297 (4.695)	Prec@5 16.797 (16.180)
Epoch: [22][950/7045]	Time 0.557 (0.252)	Data 0.504 (0.190)	Loss 4.9878 (5.0012)	Prec@1 7.031 (4.699)	Prec@5 14.844 (16.176)
Epoch: [22][960/7045]	Time 0.111 (0.252)	Data 0.059 (0.189)	Loss 5.0240 (5.0007)	Prec@1 4.297 (4.695)	Prec@5 13.672 (16.188)
Epoch: [22][970/7045]	Time 0.440 (0.252)	Data 0.388 (0.189)	Loss 4.9678 (5.0007)	Prec@1 5.469 (4.697)	Prec@5 17.188 (16.189)
Epoch: [22][980/7045]	Time 0.420 (0.252)	Data 0.361 (0.190)	Loss 4.8929 (5.0001)	Prec@1 3.906 (4.698)	Prec@5 19.141 (16.193)
Epoch: [22][990/7045]	Time 0.138 (0.252)	Data 0.080 (0.189)	Loss 4.9692 (4.9998)	Prec@1 3.516 (4.693)	Prec@5 14.062 (16.187)
Epoch: [22][1000/7045]	Time 0.511 (0.252)	Data 0.460 (0.189)	Loss 4.9939 (4.9994)	Prec@1 6.641 (4.703)	Prec@5 16.406 (16.190)
Epoch: [22][1010/7045]	Time 0.102 (0.252)	Data 0.001 (0.189)	Loss 4.8605 (4.9992)	Prec@1 6.641 (4.701)	Prec@5 21.484 (16.200)
Epoch: [22][1020/7045]	Time 0.533 (0.252)	Data 0.481 (0.189)	Loss 4.8189 (4.9986)	Prec@1 4.688 (4.701)	Prec@5 19.922 (16.213)
Epoch: [22][1030/7045]	Time 0.325 (0.252)	Data 0.274 (0.189)	Loss 4.9987 (4.9982)	Prec@1 3.125 (4.698)	Prec@5 14.062 (16.216)
Epoch: [22][1040/7045]	Time 0.185 (0.252)	Data 0.134 (0.189)	Loss 4.9832 (4.9979)	Prec@1 5.469 (4.701)	Prec@5 19.922 (16.222)
Epoch: [22][1050/7045]	Time 0.245 (0.252)	Data 0.193 (0.189)	Loss 5.0404 (4.9975)	Prec@1 4.297 (4.706)	Prec@5 14.062 (16.223)
Epoch: [22][1060/7045]	Time 0.111 (0.252)	Data 0.058 (0.189)	Loss 4.9995 (4.9973)	Prec@1 4.297 (4.710)	Prec@5 14.453 (16.231)
Epoch: [22][1070/7045]	Time 0.102 (0.252)	Data 0.001 (0.189)	Loss 5.0035 (4.9968)	Prec@1 5.469 (4.714)	Prec@5 17.969 (16.237)
Epoch: [22][1080/7045]	Time 0.522 (0.252)	Data 0.471 (0.189)	Loss 5.0466 (4.9967)	Prec@1 3.516 (4.716)	Prec@5 16.797 (16.235)
Epoch: [22][1090/7045]	Time 0.111 (0.252)	Data 0.059 (0.189)	Loss 4.8740 (4.9965)	Prec@1 3.516 (4.716)	Prec@5 17.969 (16.237)
Epoch: [22][1100/7045]	Time 0.540 (0.252)	Data 0.489 (0.189)	Loss 5.0385 (4.9962)	Prec@1 5.078 (4.709)	Prec@5 17.188 (16.244)
Epoch: [22][1110/7045]	Time 0.173 (0.252)	Data 0.121 (0.189)	Loss 5.1024 (4.9961)	Prec@1 3.516 (4.710)	Prec@5 14.844 (16.247)
Epoch: [22][1120/7045]	Time 0.243 (0.252)	Data 0.186 (0.189)	Loss 5.0895 (4.9961)	Prec@1 2.734 (4.702)	Prec@5 12.891 (16.245)
Epoch: [22][1130/7045]	Time 0.453 (0.252)	Data 0.400 (0.190)	Loss 5.0221 (4.9962)	Prec@1 4.297 (4.707)	Prec@5 17.188 (16.245)
Epoch: [22][1140/7045]	Time 0.110 (0.252)	Data 0.019 (0.189)	Loss 5.0928 (4.9960)	Prec@1 3.125 (4.714)	Prec@5 12.109 (16.255)
Epoch: [22][1150/7045]	Time 0.281 (0.252)	Data 0.229 (0.189)	Loss 4.7700 (4.9957)	Prec@1 8.594 (4.719)	Prec@5 21.094 (16.266)
Epoch: [22][1160/7045]	Time 0.106 (0.252)	Data 0.017 (0.189)	Loss 5.0489 (4.9960)	Prec@1 3.125 (4.712)	Prec@5 13.281 (16.261)
Epoch: [22][1170/7045]	Time 0.731 (0.252)	Data 0.673 (0.189)	Loss 4.9535 (4.9959)	Prec@1 3.516 (4.713)	Prec@5 16.406 (16.267)
Epoch: [22][1180/7045]	Time 0.099 (0.252)	Data 0.001 (0.189)	Loss 4.9031 (4.9956)	Prec@1 5.078 (4.712)	Prec@5 17.969 (16.274)
Epoch: [22][1190/7045]	Time 0.684 (0.252)	Data 0.633 (0.189)	Loss 5.0711 (4.9955)	Prec@1 2.344 (4.709)	Prec@5 15.234 (16.276)
Epoch: [22][1200/7045]	Time 0.111 (0.252)	Data 0.001 (0.189)	Loss 5.0383 (4.9954)	Prec@1 3.125 (4.711)	Prec@5 12.109 (16.272)
Epoch: [22][1210/7045]	Time 0.497 (0.252)	Data 0.446 (0.189)	Loss 5.0130 (4.9955)	Prec@1 3.906 (4.710)	Prec@5 17.188 (16.267)
Epoch: [22][1220/7045]	Time 0.210 (0.252)	Data 0.160 (0.189)	Loss 5.1708 (4.9959)	Prec@1 2.734 (4.706)	Prec@5 10.156 (16.259)
Epoch: [22][1230/7045]	Time 0.532 (0.252)	Data 0.471 (0.189)	Loss 4.9041 (4.9961)	Prec@1 5.859 (4.704)	Prec@5 18.750 (16.249)
Epoch: [22][1240/7045]	Time 0.180 (0.252)	Data 0.129 (0.189)	Loss 4.8548 (4.9959)	Prec@1 6.641 (4.710)	Prec@5 18.359 (16.256)
Epoch: [22][1250/7045]	Time 0.640 (0.252)	Data 0.588 (0.189)	Loss 4.9450 (4.9955)	Prec@1 4.297 (4.714)	Prec@5 17.969 (16.268)
Epoch: [22][1260/7045]	Time 0.153 (0.252)	Data 0.102 (0.189)	Loss 5.0346 (4.9952)	Prec@1 5.078 (4.716)	Prec@5 15.625 (16.278)
Epoch: [22][1270/7045]	Time 0.190 (0.252)	Data 0.138 (0.189)	Loss 5.0244 (4.9952)	Prec@1 5.469 (4.717)	Prec@5 17.578 (16.279)
Epoch: [22][1280/7045]	Time 0.402 (0.252)	Data 0.352 (0.189)	Loss 4.9849 (4.9955)	Prec@1 5.469 (4.716)	Prec@5 17.578 (16.272)
Epoch: [22][1290/7045]	Time 0.254 (0.252)	Data 0.203 (0.189)	Loss 4.8501 (4.9947)	Prec@1 8.203 (4.727)	Prec@5 18.750 (16.292)
Epoch: [22][1300/7045]	Time 0.535 (0.252)	Data 0.478 (0.189)	Loss 4.8391 (4.9940)	Prec@1 7.812 (4.733)	Prec@5 22.656 (16.307)
Epoch: [22][1310/7045]	Time 0.387 (0.252)	Data 0.335 (0.189)	Loss 5.0935 (4.9940)	Prec@1 4.688 (4.735)	Prec@5 15.625 (16.314)
Epoch: [22][1320/7045]	Time 0.489 (0.252)	Data 0.437 (0.189)	Loss 5.0662 (4.9942)	Prec@1 4.297 (4.730)	Prec@5 16.406 (16.308)
Epoch: [22][1330/7045]	Time 0.102 (0.252)	Data 0.013 (0.189)	Loss 5.0328 (4.9942)	Prec@1 3.125 (4.731)	Prec@5 14.453 (16.309)
Epoch: [22][1340/7045]	Time 0.277 (0.252)	Data 0.223 (0.189)	Loss 4.9100 (4.9939)	Prec@1 5.469 (4.731)	Prec@5 16.406 (16.314)
Epoch: [22][1350/7045]	Time 0.127 (0.252)	Data 0.076 (0.189)	Loss 4.7692 (4.9935)	Prec@1 7.812 (4.736)	Prec@5 19.922 (16.324)
Epoch: [22][1360/7045]	Time 0.100 (0.252)	Data 0.007 (0.189)	Loss 4.8486 (4.9933)	Prec@1 4.297 (4.741)	Prec@5 15.625 (16.322)
Epoch: [22][1370/7045]	Time 0.178 (0.252)	Data 0.127 (0.189)	Loss 5.0367 (4.9936)	Prec@1 5.469 (4.742)	Prec@5 14.844 (16.312)
Epoch: [22][1380/7045]	Time 0.151 (0.252)	Data 0.100 (0.189)	Loss 5.0898 (4.9939)	Prec@1 4.297 (4.737)	Prec@5 16.016 (16.309)
Epoch: [22][1390/7045]	Time 0.528 (0.252)	Data 0.477 (0.190)	Loss 5.0287 (4.9947)	Prec@1 3.906 (4.737)	Prec@5 18.750 (16.299)
Epoch: [22][1400/7045]	Time 0.375 (0.252)	Data 0.324 (0.190)	Loss 5.0544 (4.9949)	Prec@1 4.297 (4.739)	Prec@5 14.062 (16.292)
Epoch: [22][1410/7045]	Time 0.516 (0.252)	Data 0.465 (0.190)	Loss 4.8746 (4.9950)	Prec@1 5.859 (4.737)	Prec@5 18.359 (16.288)
Epoch: [22][1420/7045]	Time 0.222 (0.252)	Data 0.171 (0.189)	Loss 4.9939 (4.9951)	Prec@1 5.859 (4.736)	Prec@5 16.797 (16.288)
Epoch: [22][1430/7045]	Time 0.195 (0.252)	Data 0.146 (0.190)	Loss 4.8406 (4.9952)	Prec@1 5.859 (4.733)	Prec@5 17.969 (16.281)
Epoch: [22][1440/7045]	Time 0.147 (0.252)	Data 0.094 (0.190)	Loss 4.9219 (4.9948)	Prec@1 5.078 (4.734)	Prec@5 16.797 (16.282)
Epoch: [22][1450/7045]	Time 0.176 (0.252)	Data 0.124 (0.190)	Loss 5.0952 (4.9947)	Prec@1 5.469 (4.733)	Prec@5 17.188 (16.291)
Epoch: [22][1460/7045]	Time 0.358 (0.252)	Data 0.307 (0.190)	Loss 5.0250 (4.9946)	Prec@1 3.906 (4.736)	Prec@5 14.844 (16.294)
Epoch: [22][1470/7045]	Time 0.250 (0.252)	Data 0.199 (0.190)	Loss 4.9936 (4.9945)	Prec@1 4.688 (4.733)	Prec@5 19.141 (16.298)
Epoch: [22][1480/7045]	Time 0.453 (0.252)	Data 0.392 (0.190)	Loss 5.0269 (4.9947)	Prec@1 3.516 (4.738)	Prec@5 14.453 (16.300)
Epoch: [22][1490/7045]	Time 0.267 (0.252)	Data 0.215 (0.190)	Loss 4.8757 (4.9945)	Prec@1 5.859 (4.741)	Prec@5 20.312 (16.307)
Epoch: [22][1500/7045]	Time 0.145 (0.252)	Data 0.094 (0.190)	Loss 5.0320 (4.9948)	Prec@1 4.688 (4.743)	Prec@5 16.406 (16.306)
Epoch: [22][1510/7045]	Time 0.269 (0.252)	Data 0.219 (0.190)	Loss 5.0717 (4.9947)	Prec@1 1.953 (4.744)	Prec@5 13.281 (16.306)
Epoch: [22][1520/7045]	Time 0.583 (0.253)	Data 0.532 (0.190)	Loss 4.9995 (4.9952)	Prec@1 4.688 (4.739)	Prec@5 14.062 (16.292)
Epoch: [22][1530/7045]	Time 0.102 (0.252)	Data 0.001 (0.190)	Loss 4.9098 (4.9952)	Prec@1 5.859 (4.738)	Prec@5 19.922 (16.287)
Epoch: [22][1540/7045]	Time 0.567 (0.252)	Data 0.516 (0.190)	Loss 5.0054 (4.9950)	Prec@1 3.516 (4.736)	Prec@5 13.672 (16.282)
Epoch: [22][1550/7045]	Time 0.254 (0.252)	Data 0.196 (0.190)	Loss 4.9470 (4.9947)	Prec@1 3.906 (4.739)	Prec@5 17.578 (16.292)
Epoch: [22][1560/7045]	Time 0.196 (0.252)	Data 0.142 (0.190)	Loss 5.1194 (4.9948)	Prec@1 2.734 (4.738)	Prec@5 17.188 (16.294)
Epoch: [22][1570/7045]	Time 0.767 (0.253)	Data 0.715 (0.190)	Loss 4.9380 (4.9947)	Prec@1 4.688 (4.739)	Prec@5 16.797 (16.298)
Epoch: [22][1580/7045]	Time 0.102 (0.252)	Data 0.001 (0.190)	Loss 4.8331 (4.9945)	Prec@1 5.859 (4.739)	Prec@5 17.578 (16.298)
Epoch: [22][1590/7045]	Time 0.423 (0.252)	Data 0.373 (0.190)	Loss 5.0136 (4.9945)	Prec@1 5.469 (4.742)	Prec@5 12.891 (16.294)
Epoch: [22][1600/7045]	Time 0.102 (0.252)	Data 0.010 (0.189)	Loss 5.0065 (4.9945)	Prec@1 5.078 (4.744)	Prec@5 17.578 (16.298)
Epoch: [22][1610/7045]	Time 0.378 (0.252)	Data 0.328 (0.189)	Loss 5.0166 (4.9944)	Prec@1 3.516 (4.743)	Prec@5 15.625 (16.302)
Epoch: [22][1620/7045]	Time 0.162 (0.252)	Data 0.111 (0.189)	Loss 5.0616 (4.9944)	Prec@1 4.297 (4.746)	Prec@5 14.062 (16.302)
Epoch: [22][1630/7045]	Time 0.357 (0.252)	Data 0.305 (0.190)	Loss 5.0486 (4.9947)	Prec@1 4.297 (4.743)	Prec@5 13.281 (16.293)
Epoch: [22][1640/7045]	Time 0.142 (0.252)	Data 0.088 (0.189)	Loss 5.0863 (4.9948)	Prec@1 4.297 (4.743)	Prec@5 14.062 (16.292)
Epoch: [22][1650/7045]	Time 0.417 (0.252)	Data 0.365 (0.189)	Loss 4.9649 (4.9947)	Prec@1 3.125 (4.743)	Prec@5 14.453 (16.295)
Epoch: [22][1660/7045]	Time 0.101 (0.252)	Data 0.001 (0.189)	Loss 4.8336 (4.9945)	Prec@1 3.516 (4.743)	Prec@5 16.406 (16.296)
Epoch: [22][1670/7045]	Time 0.312 (0.252)	Data 0.260 (0.189)	Loss 5.3896 (4.9959)	Prec@1 1.953 (4.734)	Prec@5 8.594 (16.275)
Epoch: [22][1680/7045]	Time 0.199 (0.252)	Data 0.148 (0.189)	Loss 5.2832 (4.9974)	Prec@1 3.516 (4.725)	Prec@5 12.109 (16.250)
Epoch: [22][1690/7045]	Time 0.218 (0.252)	Data 0.159 (0.189)	Loss 4.9430 (4.9979)	Prec@1 4.297 (4.720)	Prec@5 15.234 (16.237)
Epoch: [22][1700/7045]	Time 0.142 (0.251)	Data 0.091 (0.189)	Loss 4.9469 (4.9981)	Prec@1 2.734 (4.720)	Prec@5 17.188 (16.244)
Epoch: [22][1710/7045]	Time 0.267 (0.252)	Data 0.216 (0.189)	Loss 5.0101 (4.9981)	Prec@1 3.906 (4.720)	Prec@5 13.672 (16.241)
Epoch: [22][1720/7045]	Time 0.101 (0.251)	Data 0.005 (0.189)	Loss 4.8280 (4.9980)	Prec@1 8.203 (4.722)	Prec@5 20.312 (16.241)
Epoch: [22][1730/7045]	Time 0.108 (0.251)	Data 0.056 (0.189)	Loss 4.9050 (4.9980)	Prec@1 6.250 (4.719)	Prec@5 17.578 (16.238)
Epoch: [22][1740/7045]	Time 0.195 (0.251)	Data 0.143 (0.189)	Loss 5.1007 (4.9980)	Prec@1 4.688 (4.718)	Prec@5 14.453 (16.240)
Epoch: [22][1750/7045]	Time 0.146 (0.251)	Data 0.094 (0.189)	Loss 5.1732 (4.9983)	Prec@1 4.297 (4.714)	Prec@5 13.281 (16.237)
Epoch: [22][1760/7045]	Time 0.535 (0.251)	Data 0.485 (0.189)	Loss 4.9104 (4.9990)	Prec@1 6.641 (4.708)	Prec@5 19.141 (16.224)
Epoch: [22][1770/7045]	Time 0.101 (0.251)	Data 0.048 (0.189)	Loss 4.8998 (4.9990)	Prec@1 6.250 (4.708)	Prec@5 19.531 (16.221)
Epoch: [22][1780/7045]	Time 0.299 (0.251)	Data 0.248 (0.189)	Loss 5.0232 (4.9992)	Prec@1 3.906 (4.711)	Prec@5 15.234 (16.222)
Epoch: [22][1790/7045]	Time 0.115 (0.251)	Data 0.054 (0.189)	Loss 5.0633 (4.9996)	Prec@1 3.516 (4.708)	Prec@5 11.719 (16.216)
Epoch: [22][1800/7045]	Time 0.182 (0.251)	Data 0.129 (0.189)	Loss 5.0240 (4.9993)	Prec@1 7.812 (4.710)	Prec@5 18.359 (16.226)
Epoch: [22][1810/7045]	Time 0.271 (0.251)	Data 0.221 (0.189)	Loss 5.0593 (4.9994)	Prec@1 3.516 (4.711)	Prec@5 13.672 (16.231)
Epoch: [22][1820/7045]	Time 0.258 (0.251)	Data 0.207 (0.189)	Loss 4.8883 (4.9991)	Prec@1 6.250 (4.712)	Prec@5 18.750 (16.239)
Epoch: [22][1830/7045]	Time 0.160 (0.251)	Data 0.108 (0.189)	Loss 4.8876 (4.9986)	Prec@1 4.297 (4.715)	Prec@5 19.141 (16.247)
Epoch: [22][1840/7045]	Time 0.365 (0.251)	Data 0.312 (0.189)	Loss 5.1035 (4.9987)	Prec@1 3.516 (4.715)	Prec@5 17.969 (16.243)
Epoch: [22][1850/7045]	Time 0.101 (0.251)	Data 0.001 (0.189)	Loss 4.8861 (4.9986)	Prec@1 4.688 (4.715)	Prec@5 18.359 (16.242)
Epoch: [22][1860/7045]	Time 0.422 (0.251)	Data 0.371 (0.189)	Loss 4.9434 (4.9984)	Prec@1 6.250 (4.717)	Prec@5 21.094 (16.246)
Epoch: [22][1870/7045]	Time 0.101 (0.251)	Data 0.001 (0.188)	Loss 4.9969 (4.9981)	Prec@1 5.859 (4.718)	Prec@5 16.797 (16.254)
Epoch: [22][1880/7045]	Time 0.173 (0.251)	Data 0.122 (0.189)	Loss 4.8928 (4.9979)	Prec@1 3.125 (4.718)	Prec@5 12.500 (16.250)
Epoch: [22][1890/7045]	Time 0.233 (0.251)	Data 0.181 (0.188)	Loss 4.9942 (4.9980)	Prec@1 6.641 (4.717)	Prec@5 19.922 (16.251)
Epoch: [22][1900/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 5.0004 (4.9980)	Prec@1 5.469 (4.719)	Prec@5 19.141 (16.252)
Epoch: [22][1910/7045]	Time 0.262 (0.251)	Data 0.212 (0.188)	Loss 4.9094 (4.9979)	Prec@1 4.297 (4.721)	Prec@5 17.188 (16.258)
Epoch: [22][1920/7045]	Time 0.110 (0.251)	Data 0.049 (0.188)	Loss 5.0118 (4.9976)	Prec@1 5.469 (4.720)	Prec@5 16.406 (16.261)
Epoch: [22][1930/7045]	Time 0.294 (0.251)	Data 0.243 (0.188)	Loss 5.0180 (4.9979)	Prec@1 2.734 (4.720)	Prec@5 15.625 (16.254)
Epoch: [22][1940/7045]	Time 0.101 (0.251)	Data 0.026 (0.188)	Loss 5.0133 (4.9978)	Prec@1 7.031 (4.722)	Prec@5 17.969 (16.254)
Epoch: [22][1950/7045]	Time 0.400 (0.251)	Data 0.350 (0.188)	Loss 4.9579 (4.9980)	Prec@1 4.688 (4.716)	Prec@5 16.406 (16.242)
Epoch: [22][1960/7045]	Time 0.245 (0.251)	Data 0.193 (0.188)	Loss 4.9539 (4.9983)	Prec@1 6.250 (4.715)	Prec@5 16.016 (16.239)
Epoch: [22][1970/7045]	Time 0.116 (0.251)	Data 0.064 (0.188)	Loss 5.1467 (4.9984)	Prec@1 3.125 (4.713)	Prec@5 14.844 (16.239)
Epoch: [22][1980/7045]	Time 0.111 (0.251)	Data 0.001 (0.189)	Loss 4.8312 (4.9986)	Prec@1 5.859 (4.713)	Prec@5 18.359 (16.240)
Epoch: [22][1990/7045]	Time 0.147 (0.251)	Data 0.096 (0.188)	Loss 4.9764 (4.9985)	Prec@1 4.297 (4.713)	Prec@5 16.797 (16.242)
Epoch: [22][2000/7045]	Time 0.240 (0.251)	Data 0.190 (0.188)	Loss 5.0762 (4.9983)	Prec@1 3.516 (4.712)	Prec@5 14.453 (16.248)
Epoch: [22][2010/7045]	Time 0.417 (0.251)	Data 0.365 (0.189)	Loss 5.1416 (4.9981)	Prec@1 3.125 (4.714)	Prec@5 12.891 (16.253)
Epoch: [22][2020/7045]	Time 0.188 (0.251)	Data 0.136 (0.189)	Loss 5.0434 (4.9981)	Prec@1 3.125 (4.715)	Prec@5 13.672 (16.250)
Epoch: [22][2030/7045]	Time 0.366 (0.251)	Data 0.304 (0.189)	Loss 4.9572 (4.9981)	Prec@1 5.859 (4.716)	Prec@5 16.406 (16.253)
Epoch: [22][2040/7045]	Time 0.220 (0.251)	Data 0.169 (0.189)	Loss 4.8820 (4.9980)	Prec@1 4.688 (4.718)	Prec@5 19.922 (16.258)
Epoch: [22][2050/7045]	Time 0.219 (0.251)	Data 0.167 (0.189)	Loss 4.9253 (4.9980)	Prec@1 4.688 (4.722)	Prec@5 17.578 (16.262)
Epoch: [22][2060/7045]	Time 0.103 (0.251)	Data 0.001 (0.189)	Loss 4.9231 (4.9980)	Prec@1 4.688 (4.722)	Prec@5 17.188 (16.268)
Epoch: [22][2070/7045]	Time 0.209 (0.251)	Data 0.158 (0.189)	Loss 5.0337 (4.9979)	Prec@1 4.688 (4.721)	Prec@5 14.453 (16.262)
Epoch: [22][2080/7045]	Time 0.102 (0.251)	Data 0.001 (0.189)	Loss 5.1115 (4.9981)	Prec@1 3.516 (4.718)	Prec@5 14.453 (16.258)
Epoch: [22][2090/7045]	Time 0.327 (0.251)	Data 0.277 (0.189)	Loss 4.9461 (4.9982)	Prec@1 7.031 (4.723)	Prec@5 17.578 (16.260)
Epoch: [22][2100/7045]	Time 0.561 (0.251)	Data 0.510 (0.189)	Loss 5.0639 (4.9985)	Prec@1 2.344 (4.722)	Prec@5 11.328 (16.255)
Epoch: [22][2110/7045]	Time 0.124 (0.251)	Data 0.073 (0.189)	Loss 4.8466 (4.9985)	Prec@1 3.906 (4.722)	Prec@5 17.188 (16.255)
Epoch: [22][2120/7045]	Time 0.366 (0.251)	Data 0.315 (0.189)	Loss 4.9888 (4.9985)	Prec@1 6.641 (4.723)	Prec@5 17.578 (16.260)
Epoch: [22][2130/7045]	Time 0.367 (0.251)	Data 0.315 (0.189)	Loss 5.0396 (4.9985)	Prec@1 4.297 (4.722)	Prec@5 13.672 (16.258)
Epoch: [22][2140/7045]	Time 0.136 (0.251)	Data 0.086 (0.189)	Loss 4.9472 (4.9987)	Prec@1 3.906 (4.723)	Prec@5 14.062 (16.254)
Epoch: [22][2150/7045]	Time 0.111 (0.251)	Data 0.058 (0.189)	Loss 4.7920 (4.9987)	Prec@1 5.859 (4.722)	Prec@5 21.484 (16.256)
Epoch: [22][2160/7045]	Time 0.372 (0.251)	Data 0.320 (0.189)	Loss 5.0092 (4.9986)	Prec@1 4.688 (4.720)	Prec@5 17.969 (16.254)
Epoch: [22][2170/7045]	Time 0.179 (0.251)	Data 0.129 (0.189)	Loss 5.0392 (4.9987)	Prec@1 4.297 (4.719)	Prec@5 14.453 (16.253)
Epoch: [22][2180/7045]	Time 0.158 (0.251)	Data 0.107 (0.189)	Loss 5.1017 (4.9989)	Prec@1 4.297 (4.717)	Prec@5 11.328 (16.252)
Epoch: [22][2190/7045]	Time 0.644 (0.251)	Data 0.583 (0.189)	Loss 5.0545 (4.9990)	Prec@1 5.859 (4.719)	Prec@5 16.406 (16.253)
Epoch: [22][2200/7045]	Time 0.098 (0.251)	Data 0.001 (0.189)	Loss 5.0176 (4.9994)	Prec@1 4.688 (4.715)	Prec@5 15.234 (16.245)
Epoch: [22][2210/7045]	Time 0.560 (0.251)	Data 0.509 (0.189)	Loss 5.1185 (4.9992)	Prec@1 4.688 (4.722)	Prec@5 17.188 (16.249)
Epoch: [22][2220/7045]	Time 0.164 (0.251)	Data 0.113 (0.189)	Loss 5.0083 (4.9992)	Prec@1 3.906 (4.721)	Prec@5 15.234 (16.246)
Epoch: [22][2230/7045]	Time 0.319 (0.251)	Data 0.267 (0.189)	Loss 4.7347 (4.9990)	Prec@1 7.031 (4.723)	Prec@5 19.141 (16.248)
Epoch: [22][2240/7045]	Time 0.574 (0.251)	Data 0.512 (0.189)	Loss 5.0425 (4.9989)	Prec@1 5.859 (4.721)	Prec@5 17.188 (16.250)
Epoch: [22][2250/7045]	Time 0.102 (0.251)	Data 0.046 (0.189)	Loss 4.9244 (4.9990)	Prec@1 5.078 (4.723)	Prec@5 16.797 (16.249)
Epoch: [22][2260/7045]	Time 0.660 (0.251)	Data 0.599 (0.189)	Loss 5.0218 (4.9987)	Prec@1 5.078 (4.724)	Prec@5 15.234 (16.255)
Epoch: [22][2270/7045]	Time 0.141 (0.251)	Data 0.090 (0.189)	Loss 4.8351 (4.9985)	Prec@1 5.469 (4.726)	Prec@5 19.141 (16.259)
Epoch: [22][2280/7045]	Time 0.540 (0.251)	Data 0.490 (0.189)	Loss 5.0186 (4.9985)	Prec@1 3.516 (4.725)	Prec@5 15.234 (16.257)
Epoch: [22][2290/7045]	Time 0.103 (0.251)	Data 0.050 (0.189)	Loss 4.8845 (4.9983)	Prec@1 5.078 (4.725)	Prec@5 19.141 (16.261)
Epoch: [22][2300/7045]	Time 0.571 (0.251)	Data 0.514 (0.189)	Loss 4.9956 (4.9982)	Prec@1 5.078 (4.725)	Prec@5 15.625 (16.263)
Epoch: [22][2310/7045]	Time 0.125 (0.251)	Data 0.064 (0.189)	Loss 4.9186 (4.9980)	Prec@1 5.469 (4.729)	Prec@5 19.922 (16.266)
Epoch: [22][2320/7045]	Time 0.375 (0.251)	Data 0.323 (0.189)	Loss 5.0821 (4.9981)	Prec@1 4.688 (4.725)	Prec@5 16.797 (16.263)
Epoch: [22][2330/7045]	Time 0.407 (0.251)	Data 0.355 (0.189)	Loss 5.0261 (4.9982)	Prec@1 4.297 (4.724)	Prec@5 16.797 (16.263)
Epoch: [22][2340/7045]	Time 0.111 (0.251)	Data 0.060 (0.189)	Loss 5.0234 (4.9981)	Prec@1 1.562 (4.722)	Prec@5 16.406 (16.265)
Epoch: [22][2350/7045]	Time 0.574 (0.251)	Data 0.523 (0.189)	Loss 5.0278 (4.9981)	Prec@1 5.078 (4.723)	Prec@5 17.188 (16.272)
Epoch: [22][2360/7045]	Time 0.101 (0.251)	Data 0.017 (0.188)	Loss 4.7797 (4.9978)	Prec@1 5.469 (4.728)	Prec@5 20.703 (16.282)
Epoch: [22][2370/7045]	Time 0.522 (0.251)	Data 0.471 (0.188)	Loss 4.9140 (4.9975)	Prec@1 6.250 (4.730)	Prec@5 18.359 (16.285)
Epoch: [22][2380/7045]	Time 0.340 (0.251)	Data 0.289 (0.188)	Loss 5.0419 (4.9977)	Prec@1 3.125 (4.729)	Prec@5 13.281 (16.278)
Epoch: [22][2390/7045]	Time 0.285 (0.251)	Data 0.235 (0.188)	Loss 4.9779 (4.9980)	Prec@1 5.078 (4.729)	Prec@5 15.625 (16.272)
Epoch: [22][2400/7045]	Time 0.456 (0.251)	Data 0.405 (0.188)	Loss 5.0465 (4.9982)	Prec@1 3.125 (4.727)	Prec@5 15.234 (16.267)
Epoch: [22][2410/7045]	Time 0.100 (0.251)	Data 0.001 (0.188)	Loss 4.9969 (4.9982)	Prec@1 4.297 (4.725)	Prec@5 17.188 (16.271)
Epoch: [22][2420/7045]	Time 0.684 (0.251)	Data 0.627 (0.188)	Loss 5.1238 (4.9984)	Prec@1 3.906 (4.724)	Prec@5 14.062 (16.269)
Epoch: [22][2430/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 5.0141 (4.9985)	Prec@1 3.516 (4.724)	Prec@5 16.016 (16.270)
Epoch: [22][2440/7045]	Time 0.640 (0.251)	Data 0.582 (0.188)	Loss 5.0904 (4.9985)	Prec@1 7.031 (4.728)	Prec@5 16.406 (16.268)
Epoch: [22][2450/7045]	Time 0.489 (0.251)	Data 0.438 (0.188)	Loss 4.9234 (4.9984)	Prec@1 7.812 (4.732)	Prec@5 19.922 (16.272)
Epoch: [22][2460/7045]	Time 0.229 (0.251)	Data 0.178 (0.188)	Loss 4.9984 (4.9984)	Prec@1 4.688 (4.731)	Prec@5 17.188 (16.274)
Epoch: [22][2470/7045]	Time 0.521 (0.251)	Data 0.469 (0.188)	Loss 5.1036 (4.9984)	Prec@1 3.906 (4.728)	Prec@5 12.891 (16.273)
Epoch: [22][2480/7045]	Time 0.107 (0.251)	Data 0.001 (0.188)	Loss 4.9817 (4.9985)	Prec@1 3.906 (4.730)	Prec@5 14.453 (16.272)
Epoch: [22][2490/7045]	Time 0.612 (0.251)	Data 0.561 (0.188)	Loss 4.8960 (4.9986)	Prec@1 4.297 (4.730)	Prec@5 19.141 (16.269)
Epoch: [22][2500/7045]	Time 0.100 (0.251)	Data 0.048 (0.188)	Loss 4.9216 (4.9984)	Prec@1 7.031 (4.733)	Prec@5 19.922 (16.276)
Epoch: [22][2510/7045]	Time 0.423 (0.251)	Data 0.371 (0.188)	Loss 5.0673 (4.9984)	Prec@1 3.516 (4.732)	Prec@5 14.844 (16.277)
Epoch: [22][2520/7045]	Time 0.101 (0.251)	Data 0.007 (0.188)	Loss 4.8893 (4.9982)	Prec@1 6.641 (4.734)	Prec@5 17.578 (16.279)
Epoch: [22][2530/7045]	Time 0.458 (0.251)	Data 0.407 (0.188)	Loss 4.9654 (4.9984)	Prec@1 5.078 (4.735)	Prec@5 17.578 (16.278)
Epoch: [22][2540/7045]	Time 0.109 (0.251)	Data 0.011 (0.188)	Loss 4.9909 (4.9987)	Prec@1 5.078 (4.733)	Prec@5 18.750 (16.273)
Epoch: [22][2550/7045]	Time 0.433 (0.251)	Data 0.382 (0.188)	Loss 4.9879 (4.9989)	Prec@1 4.688 (4.728)	Prec@5 14.844 (16.267)
Epoch: [22][2560/7045]	Time 0.100 (0.251)	Data 0.002 (0.188)	Loss 4.9601 (4.9987)	Prec@1 3.125 (4.727)	Prec@5 17.578 (16.269)
Epoch: [22][2570/7045]	Time 0.293 (0.251)	Data 0.241 (0.188)	Loss 5.0886 (4.9989)	Prec@1 3.516 (4.725)	Prec@5 17.969 (16.269)
Epoch: [22][2580/7045]	Time 0.222 (0.251)	Data 0.171 (0.188)	Loss 4.8924 (4.9990)	Prec@1 6.250 (4.725)	Prec@5 19.141 (16.269)
Epoch: [22][2590/7045]	Time 0.424 (0.251)	Data 0.373 (0.188)	Loss 5.1326 (4.9992)	Prec@1 5.078 (4.722)	Prec@5 14.844 (16.262)
Epoch: [22][2600/7045]	Time 0.106 (0.250)	Data 0.054 (0.188)	Loss 4.9443 (4.9991)	Prec@1 5.078 (4.723)	Prec@5 15.625 (16.262)
Epoch: [22][2610/7045]	Time 0.586 (0.251)	Data 0.527 (0.188)	Loss 4.8973 (4.9989)	Prec@1 3.516 (4.724)	Prec@5 16.016 (16.263)
Epoch: [22][2620/7045]	Time 0.323 (0.250)	Data 0.272 (0.188)	Loss 4.9344 (4.9988)	Prec@1 5.469 (4.727)	Prec@5 17.188 (16.266)
Epoch: [22][2630/7045]	Time 0.145 (0.250)	Data 0.094 (0.188)	Loss 4.9521 (4.9987)	Prec@1 7.031 (4.729)	Prec@5 16.016 (16.269)
Epoch: [22][2640/7045]	Time 0.673 (0.251)	Data 0.623 (0.188)	Loss 4.9267 (4.9985)	Prec@1 6.250 (4.730)	Prec@5 17.188 (16.272)
Epoch: [22][2650/7045]	Time 0.101 (0.250)	Data 0.001 (0.187)	Loss 5.1110 (4.9985)	Prec@1 4.688 (4.731)	Prec@5 12.891 (16.271)
Epoch: [22][2660/7045]	Time 0.287 (0.250)	Data 0.236 (0.188)	Loss 4.9996 (4.9986)	Prec@1 6.250 (4.730)	Prec@5 18.750 (16.264)
Epoch: [22][2670/7045]	Time 0.101 (0.250)	Data 0.014 (0.188)	Loss 5.0146 (4.9988)	Prec@1 5.469 (4.729)	Prec@5 16.797 (16.261)
Epoch: [22][2680/7045]	Time 0.099 (0.250)	Data 0.045 (0.187)	Loss 4.9263 (4.9988)	Prec@1 5.078 (4.730)	Prec@5 16.406 (16.260)
Epoch: [22][2690/7045]	Time 0.302 (0.250)	Data 0.251 (0.188)	Loss 5.0130 (4.9987)	Prec@1 6.250 (4.732)	Prec@5 17.578 (16.263)
Epoch: [22][2700/7045]	Time 0.234 (0.250)	Data 0.181 (0.188)	Loss 5.0072 (4.9987)	Prec@1 6.641 (4.735)	Prec@5 16.016 (16.264)
Epoch: [22][2710/7045]	Time 0.244 (0.250)	Data 0.193 (0.188)	Loss 5.0396 (4.9988)	Prec@1 4.688 (4.736)	Prec@5 17.578 (16.260)
Epoch: [22][2720/7045]	Time 0.103 (0.250)	Data 0.051 (0.188)	Loss 5.0342 (4.9987)	Prec@1 5.078 (4.736)	Prec@5 17.188 (16.257)
Epoch: [22][2730/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 5.0259 (4.9986)	Prec@1 3.906 (4.738)	Prec@5 16.406 (16.259)
Epoch: [22][2740/7045]	Time 0.125 (0.250)	Data 0.074 (0.188)	Loss 5.1006 (4.9986)	Prec@1 4.297 (4.739)	Prec@5 14.453 (16.259)
Epoch: [22][2750/7045]	Time 0.112 (0.250)	Data 0.021 (0.188)	Loss 5.0204 (4.9987)	Prec@1 6.250 (4.739)	Prec@5 17.188 (16.257)
Epoch: [22][2760/7045]	Time 0.101 (0.250)	Data 0.001 (0.187)	Loss 4.9878 (4.9988)	Prec@1 5.469 (4.739)	Prec@5 14.062 (16.255)
Epoch: [22][2770/7045]	Time 0.204 (0.250)	Data 0.153 (0.188)	Loss 4.9373 (4.9988)	Prec@1 3.906 (4.737)	Prec@5 15.234 (16.253)
Epoch: [22][2780/7045]	Time 0.311 (0.250)	Data 0.259 (0.188)	Loss 5.1020 (4.9988)	Prec@1 5.469 (4.738)	Prec@5 15.625 (16.255)
Epoch: [22][2790/7045]	Time 0.157 (0.250)	Data 0.105 (0.188)	Loss 5.1739 (4.9991)	Prec@1 5.078 (4.736)	Prec@5 13.281 (16.251)
Epoch: [22][2800/7045]	Time 0.580 (0.250)	Data 0.529 (0.188)	Loss 4.9108 (4.9993)	Prec@1 5.859 (4.736)	Prec@5 18.359 (16.251)
Epoch: [22][2810/7045]	Time 0.110 (0.250)	Data 0.001 (0.187)	Loss 5.1630 (4.9997)	Prec@1 5.469 (4.734)	Prec@5 12.500 (16.246)
Epoch: [22][2820/7045]	Time 0.361 (0.250)	Data 0.310 (0.188)	Loss 5.0996 (4.9998)	Prec@1 4.688 (4.732)	Prec@5 17.188 (16.245)
Epoch: [22][2830/7045]	Time 0.101 (0.250)	Data 0.001 (0.187)	Loss 4.8256 (4.9995)	Prec@1 6.641 (4.734)	Prec@5 21.875 (16.252)
Epoch: [22][2840/7045]	Time 0.153 (0.250)	Data 0.102 (0.188)	Loss 4.9958 (4.9994)	Prec@1 3.516 (4.733)	Prec@5 14.844 (16.249)
Epoch: [22][2850/7045]	Time 0.118 (0.250)	Data 0.066 (0.188)	Loss 4.9812 (4.9994)	Prec@1 5.078 (4.733)	Prec@5 17.188 (16.251)
Epoch: [22][2860/7045]	Time 0.190 (0.250)	Data 0.140 (0.188)	Loss 4.8222 (4.9992)	Prec@1 5.469 (4.734)	Prec@5 19.141 (16.256)
Epoch: [22][2870/7045]	Time 0.113 (0.251)	Data 0.062 (0.188)	Loss 4.9890 (4.9991)	Prec@1 3.906 (4.734)	Prec@5 15.625 (16.255)
Epoch: [22][2880/7045]	Time 0.101 (0.250)	Data 0.001 (0.188)	Loss 4.9337 (4.9991)	Prec@1 4.688 (4.736)	Prec@5 13.281 (16.255)
Epoch: [22][2890/7045]	Time 0.487 (0.251)	Data 0.436 (0.188)	Loss 5.1824 (4.9993)	Prec@1 2.344 (4.734)	Prec@5 12.891 (16.251)
Epoch: [22][2900/7045]	Time 0.183 (0.251)	Data 0.133 (0.188)	Loss 4.9826 (4.9993)	Prec@1 4.297 (4.733)	Prec@5 18.750 (16.252)
Epoch: [22][2910/7045]	Time 0.597 (0.251)	Data 0.546 (0.188)	Loss 4.9787 (4.9993)	Prec@1 5.469 (4.733)	Prec@5 18.750 (16.251)
Epoch: [22][2920/7045]	Time 0.142 (0.251)	Data 0.090 (0.188)	Loss 4.9626 (4.9992)	Prec@1 4.297 (4.733)	Prec@5 19.531 (16.254)
Epoch: [22][2930/7045]	Time 0.257 (0.251)	Data 0.206 (0.188)	Loss 5.1299 (4.9991)	Prec@1 5.078 (4.734)	Prec@5 16.016 (16.256)
Epoch: [22][2940/7045]	Time 0.267 (0.251)	Data 0.209 (0.188)	Loss 4.8833 (4.9988)	Prec@1 4.688 (4.735)	Prec@5 19.922 (16.257)
Epoch: [22][2950/7045]	Time 0.243 (0.251)	Data 0.192 (0.188)	Loss 4.8527 (4.9988)	Prec@1 7.812 (4.735)	Prec@5 20.312 (16.260)
Epoch: [22][2960/7045]	Time 0.101 (0.251)	Data 0.017 (0.188)	Loss 5.0162 (4.9988)	Prec@1 3.516 (4.735)	Prec@5 14.844 (16.259)
Epoch: [22][2970/7045]	Time 0.248 (0.251)	Data 0.197 (0.188)	Loss 5.1143 (4.9988)	Prec@1 4.688 (4.735)	Prec@5 12.109 (16.256)
Epoch: [22][2980/7045]	Time 0.129 (0.251)	Data 0.078 (0.188)	Loss 5.2165 (4.9991)	Prec@1 4.297 (4.736)	Prec@5 11.719 (16.254)
Epoch: [22][2990/7045]	Time 0.145 (0.251)	Data 0.094 (0.188)	Loss 5.3191 (4.9996)	Prec@1 2.344 (4.733)	Prec@5 10.938 (16.243)
Epoch: [22][3000/7045]	Time 0.149 (0.251)	Data 0.098 (0.188)	Loss 4.9897 (4.9999)	Prec@1 4.297 (4.732)	Prec@5 18.750 (16.237)
Epoch: [22][3010/7045]	Time 0.189 (0.251)	Data 0.138 (0.188)	Loss 5.0903 (5.0002)	Prec@1 7.812 (4.732)	Prec@5 17.969 (16.235)
Epoch: [22][3020/7045]	Time 0.196 (0.251)	Data 0.145 (0.188)	Loss 4.8512 (5.0002)	Prec@1 6.641 (4.731)	Prec@5 17.578 (16.236)
Epoch: [22][3030/7045]	Time 0.112 (0.251)	Data 0.058 (0.188)	Loss 5.0418 (5.0002)	Prec@1 4.688 (4.731)	Prec@5 17.188 (16.237)
Epoch: [22][3040/7045]	Time 0.163 (0.251)	Data 0.111 (0.188)	Loss 4.9406 (5.0000)	Prec@1 5.859 (4.732)	Prec@5 15.234 (16.237)
Epoch: [22][3050/7045]	Time 0.241 (0.251)	Data 0.189 (0.188)	Loss 5.0345 (5.0001)	Prec@1 3.125 (4.732)	Prec@5 16.016 (16.235)
Epoch: [22][3060/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 4.8794 (5.0000)	Prec@1 5.078 (4.730)	Prec@5 21.094 (16.234)
Epoch: [22][3070/7045]	Time 0.100 (0.251)	Data 0.001 (0.188)	Loss 4.9751 (5.0002)	Prec@1 6.250 (4.729)	Prec@5 17.578 (16.230)
Epoch: [22][3080/7045]	Time 0.342 (0.251)	Data 0.290 (0.188)	Loss 5.0201 (5.0002)	Prec@1 4.297 (4.728)	Prec@5 16.016 (16.229)
Epoch: [22][3090/7045]	Time 0.101 (0.251)	Data 0.046 (0.188)	Loss 4.9762 (5.0000)	Prec@1 5.469 (4.729)	Prec@5 13.672 (16.230)
Epoch: [22][3100/7045]	Time 0.116 (0.251)	Data 0.064 (0.188)	Loss 5.0984 (5.0002)	Prec@1 2.344 (4.728)	Prec@5 13.281 (16.228)
Epoch: [22][3110/7045]	Time 0.101 (0.251)	Data 0.043 (0.188)	Loss 5.0554 (5.0001)	Prec@1 5.469 (4.728)	Prec@5 16.406 (16.228)
Epoch: [22][3120/7045]	Time 0.102 (0.251)	Data 0.010 (0.188)	Loss 5.2200 (5.0001)	Prec@1 2.344 (4.729)	Prec@5 14.844 (16.226)
Epoch: [22][3130/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 5.0362 (5.0003)	Prec@1 7.031 (4.729)	Prec@5 17.188 (16.224)
Epoch: [22][3140/7045]	Time 0.158 (0.251)	Data 0.106 (0.188)	Loss 5.1058 (5.0003)	Prec@1 4.688 (4.728)	Prec@5 11.719 (16.224)
Epoch: [22][3150/7045]	Time 0.105 (0.251)	Data 0.052 (0.188)	Loss 5.1200 (5.0004)	Prec@1 3.516 (4.728)	Prec@5 10.547 (16.221)
Epoch: [22][3160/7045]	Time 0.101 (0.251)	Data 0.004 (0.188)	Loss 4.8846 (5.0004)	Prec@1 5.859 (4.729)	Prec@5 17.578 (16.218)
Epoch: [22][3170/7045]	Time 0.192 (0.251)	Data 0.141 (0.188)	Loss 5.3665 (5.0008)	Prec@1 5.078 (4.728)	Prec@5 11.719 (16.214)
Epoch: [22][3180/7045]	Time 0.100 (0.251)	Data 0.001 (0.188)	Loss 5.1162 (5.0014)	Prec@1 3.906 (4.724)	Prec@5 14.844 (16.201)
Epoch: [22][3190/7045]	Time 0.107 (0.251)	Data 0.001 (0.188)	Loss 5.1513 (5.0016)	Prec@1 3.516 (4.723)	Prec@5 14.062 (16.198)
Epoch: [22][3200/7045]	Time 0.101 (0.251)	Data 0.001 (0.188)	Loss 5.1623 (5.0020)	Prec@1 4.688 (4.722)	Prec@5 13.672 (16.190)
Epoch: [22][3210/7045]	Time 0.102 (0.251)	Data 0.049 (0.188)	Loss 5.0097 (5.0023)	Prec@1 2.734 (4.719)	Prec@5 16.016 (16.188)
Epoch: [22][3220/7045]	Time 0.211 (0.251)	Data 0.160 (0.188)	Loss 4.8865 (5.0023)	Prec@1 4.688 (4.720)	Prec@5 19.531 (16.188)
Epoch: [22][3230/7045]	Time 0.275 (0.251)	Data 0.223 (0.188)	Loss 4.8504 (5.0023)	Prec@1 5.469 (4.719)	Prec@5 17.969 (16.187)
Epoch: [22][3240/7045]	Time 0.204 (0.251)	Data 0.153 (0.188)	Loss 5.0751 (5.0023)	Prec@1 0.781 (4.718)	Prec@5 11.719 (16.189)
Epoch: [22][3250/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 5.0088 (5.0021)	Prec@1 5.469 (4.719)	Prec@5 17.188 (16.190)
Epoch: [22][3260/7045]	Time 0.396 (0.251)	Data 0.345 (0.188)	Loss 4.9881 (5.0020)	Prec@1 4.297 (4.721)	Prec@5 16.016 (16.192)
Epoch: [22][3270/7045]	Time 0.106 (0.251)	Data 0.052 (0.188)	Loss 5.0042 (5.0021)	Prec@1 5.469 (4.721)	Prec@5 17.969 (16.193)
Epoch: [22][3280/7045]	Time 0.102 (0.251)	Data 0.050 (0.188)	Loss 4.9053 (5.0021)	Prec@1 7.812 (4.720)	Prec@5 16.016 (16.193)
Epoch: [22][3290/7045]	Time 0.101 (0.251)	Data 0.018 (0.188)	Loss 4.9134 (5.0021)	Prec@1 6.641 (4.718)	Prec@5 20.312 (16.193)
Epoch: [22][3300/7045]	Time 0.102 (0.251)	Data 0.049 (0.188)	Loss 4.9654 (5.0021)	Prec@1 4.297 (4.718)	Prec@5 15.234 (16.192)
Epoch: [22][3310/7045]	Time 0.204 (0.251)	Data 0.153 (0.188)	Loss 4.9507 (5.0019)	Prec@1 5.859 (4.719)	Prec@5 18.750 (16.193)
Epoch: [22][3320/7045]	Time 0.177 (0.251)	Data 0.125 (0.188)	Loss 4.9708 (5.0019)	Prec@1 1.562 (4.718)	Prec@5 14.844 (16.193)
Epoch: [22][3330/7045]	Time 0.267 (0.251)	Data 0.215 (0.188)	Loss 5.0882 (5.0019)	Prec@1 3.125 (4.719)	Prec@5 13.672 (16.194)
Epoch: [22][3340/7045]	Time 0.110 (0.251)	Data 0.001 (0.188)	Loss 4.9762 (5.0019)	Prec@1 6.250 (4.720)	Prec@5 17.578 (16.195)
Epoch: [22][3350/7045]	Time 0.586 (0.251)	Data 0.526 (0.188)	Loss 5.0466 (5.0020)	Prec@1 3.906 (4.720)	Prec@5 16.016 (16.193)
Epoch: [22][3360/7045]	Time 0.202 (0.251)	Data 0.151 (0.188)	Loss 5.0441 (5.0021)	Prec@1 2.734 (4.718)	Prec@5 14.844 (16.192)
Epoch: [22][3370/7045]	Time 0.504 (0.251)	Data 0.453 (0.188)	Loss 5.0885 (5.0023)	Prec@1 1.172 (4.716)	Prec@5 13.672 (16.191)
Epoch: [22][3380/7045]	Time 0.169 (0.251)	Data 0.119 (0.188)	Loss 4.9969 (5.0023)	Prec@1 5.859 (4.716)	Prec@5 19.141 (16.191)
Epoch: [22][3390/7045]	Time 0.109 (0.251)	Data 0.058 (0.188)	Loss 5.0861 (5.0025)	Prec@1 3.125 (4.715)	Prec@5 13.281 (16.188)
Epoch: [22][3400/7045]	Time 0.110 (0.251)	Data 0.058 (0.188)	Loss 4.8938 (5.0028)	Prec@1 3.125 (4.714)	Prec@5 16.797 (16.184)
Epoch: [22][3410/7045]	Time 0.111 (0.251)	Data 0.059 (0.188)	Loss 4.7811 (5.0029)	Prec@1 4.688 (4.714)	Prec@5 19.141 (16.185)
Epoch: [22][3420/7045]	Time 0.101 (0.251)	Data 0.001 (0.188)	Loss 4.9871 (5.0030)	Prec@1 4.297 (4.713)	Prec@5 14.844 (16.182)
Epoch: [22][3430/7045]	Time 0.108 (0.251)	Data 0.001 (0.188)	Loss 5.0467 (5.0031)	Prec@1 4.297 (4.712)	Prec@5 14.453 (16.179)
Epoch: [22][3440/7045]	Time 0.100 (0.250)	Data 0.047 (0.187)	Loss 5.0445 (5.0032)	Prec@1 3.906 (4.713)	Prec@5 14.844 (16.179)
Epoch: [22][3450/7045]	Time 0.101 (0.251)	Data 0.017 (0.187)	Loss 5.0861 (5.0033)	Prec@1 4.297 (4.713)	Prec@5 15.234 (16.180)
Epoch: [22][3460/7045]	Time 0.422 (0.250)	Data 0.370 (0.187)	Loss 5.0967 (5.0034)	Prec@1 4.297 (4.713)	Prec@5 14.844 (16.178)
Epoch: [22][3470/7045]	Time 0.265 (0.250)	Data 0.208 (0.187)	Loss 4.9007 (5.0033)	Prec@1 6.250 (4.714)	Prec@5 20.312 (16.179)
Epoch: [22][3480/7045]	Time 0.509 (0.251)	Data 0.456 (0.188)	Loss 4.8928 (5.0032)	Prec@1 5.469 (4.715)	Prec@5 16.406 (16.179)
Epoch: [22][3490/7045]	Time 0.384 (0.250)	Data 0.334 (0.187)	Loss 5.0159 (5.0033)	Prec@1 4.297 (4.715)	Prec@5 16.406 (16.179)
Epoch: [22][3500/7045]	Time 0.308 (0.250)	Data 0.257 (0.187)	Loss 5.1887 (5.0033)	Prec@1 4.297 (4.718)	Prec@5 13.281 (16.178)
Epoch: [22][3510/7045]	Time 0.293 (0.250)	Data 0.243 (0.187)	Loss 4.9026 (5.0033)	Prec@1 3.516 (4.719)	Prec@5 16.797 (16.181)
Epoch: [22][3520/7045]	Time 0.259 (0.250)	Data 0.209 (0.187)	Loss 4.9296 (5.0033)	Prec@1 5.469 (4.721)	Prec@5 19.141 (16.186)
Epoch: [22][3530/7045]	Time 0.108 (0.250)	Data 0.055 (0.187)	Loss 4.9522 (5.0033)	Prec@1 5.078 (4.719)	Prec@5 17.969 (16.186)
Epoch: [22][3540/7045]	Time 0.102 (0.250)	Data 0.043 (0.187)	Loss 4.9500 (5.0035)	Prec@1 5.859 (4.720)	Prec@5 17.969 (16.187)
Epoch: [22][3550/7045]	Time 0.112 (0.250)	Data 0.001 (0.187)	Loss 5.1206 (5.0037)	Prec@1 3.906 (4.718)	Prec@5 13.281 (16.182)
Epoch: [22][3560/7045]	Time 0.202 (0.250)	Data 0.150 (0.187)	Loss 4.9552 (5.0037)	Prec@1 6.250 (4.717)	Prec@5 16.797 (16.182)
Epoch: [22][3570/7045]	Time 0.198 (0.250)	Data 0.148 (0.187)	Loss 4.8811 (5.0036)	Prec@1 5.469 (4.718)	Prec@5 19.531 (16.186)
Epoch: [22][3580/7045]	Time 0.259 (0.250)	Data 0.208 (0.187)	Loss 4.9635 (5.0035)	Prec@1 4.297 (4.718)	Prec@5 17.578 (16.187)
Epoch: [22][3590/7045]	Time 0.178 (0.250)	Data 0.128 (0.187)	Loss 4.8730 (5.0036)	Prec@1 5.859 (4.718)	Prec@5 16.797 (16.184)
Epoch: [22][3600/7045]	Time 0.570 (0.250)	Data 0.520 (0.188)	Loss 5.0301 (5.0037)	Prec@1 5.469 (4.718)	Prec@5 15.234 (16.185)
Epoch: [22][3610/7045]	Time 0.121 (0.250)	Data 0.059 (0.187)	Loss 4.9931 (5.0038)	Prec@1 5.859 (4.718)	Prec@5 17.578 (16.184)
Epoch: [22][3620/7045]	Time 0.610 (0.250)	Data 0.557 (0.188)	Loss 5.1514 (5.0038)	Prec@1 3.125 (4.717)	Prec@5 12.500 (16.185)
Epoch: [22][3630/7045]	Time 0.109 (0.250)	Data 0.001 (0.187)	Loss 4.9724 (5.0038)	Prec@1 5.078 (4.716)	Prec@5 15.625 (16.185)
Epoch: [22][3640/7045]	Time 0.664 (0.250)	Data 0.602 (0.187)	Loss 5.0751 (5.0038)	Prec@1 2.734 (4.717)	Prec@5 19.141 (16.187)
Epoch: [22][3650/7045]	Time 0.119 (0.250)	Data 0.060 (0.187)	Loss 4.9444 (5.0038)	Prec@1 4.688 (4.718)	Prec@5 14.844 (16.185)
Epoch: [22][3660/7045]	Time 0.659 (0.250)	Data 0.600 (0.187)	Loss 5.2035 (5.0039)	Prec@1 3.125 (4.718)	Prec@5 12.500 (16.182)
Epoch: [22][3670/7045]	Time 0.110 (0.250)	Data 0.058 (0.187)	Loss 4.9204 (5.0039)	Prec@1 4.688 (4.720)	Prec@5 17.969 (16.184)
Epoch: [22][3680/7045]	Time 0.655 (0.250)	Data 0.603 (0.187)	Loss 5.1048 (5.0039)	Prec@1 5.469 (4.720)	Prec@5 16.406 (16.182)
Epoch: [22][3690/7045]	Time 0.107 (0.250)	Data 0.048 (0.187)	Loss 5.0676 (5.0039)	Prec@1 6.641 (4.722)	Prec@5 15.625 (16.184)
Epoch: [22][3700/7045]	Time 0.539 (0.250)	Data 0.487 (0.187)	Loss 4.9651 (5.0039)	Prec@1 7.422 (4.723)	Prec@5 17.188 (16.184)
Epoch: [22][3710/7045]	Time 0.108 (0.250)	Data 0.004 (0.187)	Loss 4.9910 (5.0040)	Prec@1 3.516 (4.722)	Prec@5 15.625 (16.182)
Epoch: [22][3720/7045]	Time 0.539 (0.250)	Data 0.487 (0.188)	Loss 4.9425 (5.0039)	Prec@1 2.344 (4.723)	Prec@5 19.922 (16.186)
Epoch: [22][3730/7045]	Time 0.147 (0.250)	Data 0.096 (0.187)	Loss 5.0042 (5.0039)	Prec@1 3.516 (4.723)	Prec@5 16.406 (16.186)
Epoch: [22][3740/7045]	Time 0.123 (0.250)	Data 0.072 (0.187)	Loss 5.0920 (5.0038)	Prec@1 2.734 (4.723)	Prec@5 14.844 (16.187)
Epoch: [22][3750/7045]	Time 0.248 (0.250)	Data 0.197 (0.188)	Loss 5.0546 (5.0037)	Prec@1 4.297 (4.724)	Prec@5 15.234 (16.188)
Epoch: [22][3760/7045]	Time 0.202 (0.250)	Data 0.151 (0.188)	Loss 4.8262 (5.0037)	Prec@1 4.688 (4.725)	Prec@5 16.797 (16.188)
Epoch: [22][3770/7045]	Time 0.128 (0.250)	Data 0.076 (0.188)	Loss 5.1690 (5.0038)	Prec@1 3.906 (4.725)	Prec@5 16.797 (16.187)
Epoch: [22][3780/7045]	Time 0.245 (0.250)	Data 0.194 (0.188)	Loss 4.8283 (5.0039)	Prec@1 4.688 (4.723)	Prec@5 21.875 (16.185)
Epoch: [22][3790/7045]	Time 0.104 (0.250)	Data 0.051 (0.188)	Loss 4.8799 (5.0040)	Prec@1 6.641 (4.722)	Prec@5 18.359 (16.185)
Epoch: [22][3800/7045]	Time 0.151 (0.250)	Data 0.100 (0.188)	Loss 4.8937 (5.0041)	Prec@1 6.641 (4.721)	Prec@5 20.703 (16.184)
Epoch: [22][3810/7045]	Time 0.299 (0.250)	Data 0.248 (0.188)	Loss 4.9635 (5.0040)	Prec@1 5.469 (4.723)	Prec@5 17.188 (16.183)
Epoch: [22][3820/7045]	Time 0.111 (0.250)	Data 0.060 (0.188)	Loss 5.0870 (5.0041)	Prec@1 7.031 (4.723)	Prec@5 15.234 (16.182)
Epoch: [22][3830/7045]	Time 0.401 (0.250)	Data 0.348 (0.188)	Loss 4.9939 (5.0042)	Prec@1 3.906 (4.722)	Prec@5 17.969 (16.182)
Epoch: [22][3840/7045]	Time 0.101 (0.250)	Data 0.003 (0.188)	Loss 5.0887 (5.0042)	Prec@1 3.906 (4.724)	Prec@5 14.453 (16.180)
Epoch: [22][3850/7045]	Time 0.616 (0.250)	Data 0.565 (0.188)	Loss 5.1108 (5.0045)	Prec@1 5.078 (4.723)	Prec@5 14.062 (16.174)
Epoch: [22][3860/7045]	Time 0.115 (0.250)	Data 0.054 (0.188)	Loss 5.2225 (5.0046)	Prec@1 1.562 (4.722)	Prec@5 11.328 (16.173)
Epoch: [22][3870/7045]	Time 0.644 (0.250)	Data 0.593 (0.188)	Loss 4.9992 (5.0046)	Prec@1 4.688 (4.723)	Prec@5 18.750 (16.173)
Epoch: [22][3880/7045]	Time 0.104 (0.250)	Data 0.052 (0.188)	Loss 4.9136 (5.0047)	Prec@1 3.516 (4.723)	Prec@5 16.797 (16.174)
Epoch: [22][3890/7045]	Time 0.551 (0.250)	Data 0.499 (0.187)	Loss 5.1723 (5.0048)	Prec@1 5.078 (4.724)	Prec@5 16.016 (16.172)
Epoch: [22][3900/7045]	Time 0.175 (0.250)	Data 0.118 (0.187)	Loss 5.1381 (5.0048)	Prec@1 4.688 (4.726)	Prec@5 13.281 (16.171)
Epoch: [22][3910/7045]	Time 0.456 (0.250)	Data 0.399 (0.187)	Loss 4.9278 (5.0047)	Prec@1 5.859 (4.727)	Prec@5 16.406 (16.171)
Epoch: [22][3920/7045]	Time 0.133 (0.250)	Data 0.082 (0.187)	Loss 4.9694 (5.0047)	Prec@1 6.250 (4.728)	Prec@5 15.625 (16.172)
Epoch: [22][3930/7045]	Time 0.595 (0.250)	Data 0.535 (0.187)	Loss 4.9913 (5.0047)	Prec@1 6.250 (4.729)	Prec@5 18.359 (16.173)
Epoch: [22][3940/7045]	Time 0.110 (0.250)	Data 0.001 (0.187)	Loss 4.8649 (5.0044)	Prec@1 5.469 (4.729)	Prec@5 18.359 (16.177)
Epoch: [22][3950/7045]	Time 0.569 (0.250)	Data 0.518 (0.187)	Loss 5.0171 (5.0043)	Prec@1 6.641 (4.731)	Prec@5 20.312 (16.180)
Epoch: [22][3960/7045]	Time 0.109 (0.250)	Data 0.003 (0.187)	Loss 4.7945 (5.0042)	Prec@1 7.812 (4.733)	Prec@5 22.656 (16.184)
Epoch: [22][3970/7045]	Time 0.408 (0.250)	Data 0.356 (0.187)	Loss 4.9782 (5.0042)	Prec@1 3.125 (4.733)	Prec@5 15.234 (16.185)
Epoch: [22][3980/7045]	Time 0.101 (0.250)	Data 0.043 (0.187)	Loss 5.0584 (5.0041)	Prec@1 5.859 (4.735)	Prec@5 18.750 (16.189)
Epoch: [22][3990/7045]	Time 0.218 (0.250)	Data 0.165 (0.187)	Loss 4.9631 (5.0040)	Prec@1 5.078 (4.734)	Prec@5 15.234 (16.189)
Epoch: [22][4000/7045]	Time 0.165 (0.250)	Data 0.114 (0.187)	Loss 4.9917 (5.0040)	Prec@1 3.906 (4.734)	Prec@5 17.578 (16.188)
Epoch: [22][4010/7045]	Time 0.102 (0.250)	Data 0.048 (0.187)	Loss 4.8763 (5.0041)	Prec@1 4.297 (4.733)	Prec@5 14.844 (16.186)
Epoch: [22][4020/7045]	Time 0.212 (0.250)	Data 0.160 (0.187)	Loss 5.0170 (5.0041)	Prec@1 5.078 (4.734)	Prec@5 14.062 (16.184)
Epoch: [22][4030/7045]	Time 0.101 (0.250)	Data 0.001 (0.187)	Loss 4.8974 (5.0040)	Prec@1 3.906 (4.734)	Prec@5 18.750 (16.184)
Epoch: [22][4040/7045]	Time 0.128 (0.250)	Data 0.077 (0.187)	Loss 4.9377 (5.0039)	Prec@1 4.297 (4.735)	Prec@5 18.750 (16.188)
Epoch: [22][4050/7045]	Time 0.247 (0.250)	Data 0.196 (0.187)	Loss 4.9742 (5.0039)	Prec@1 5.078 (4.736)	Prec@5 19.141 (16.189)
Epoch: [22][4060/7045]	Time 0.110 (0.250)	Data 0.001 (0.187)	Loss 5.2674 (5.0041)	Prec@1 3.125 (4.735)	Prec@5 11.328 (16.187)
Epoch: [22][4070/7045]	Time 0.354 (0.250)	Data 0.304 (0.187)	Loss 5.0099 (5.0042)	Prec@1 6.641 (4.736)	Prec@5 17.969 (16.185)
Epoch: [22][4080/7045]	Time 0.273 (0.250)	Data 0.222 (0.187)	Loss 5.0741 (5.0042)	Prec@1 2.734 (4.737)	Prec@5 14.062 (16.187)
Epoch: [22][4090/7045]	Time 0.352 (0.250)	Data 0.302 (0.187)	Loss 5.1270 (5.0041)	Prec@1 3.906 (4.739)	Prec@5 12.891 (16.189)
Epoch: [22][4100/7045]	Time 0.473 (0.250)	Data 0.422 (0.187)	Loss 5.1139 (5.0039)	Prec@1 2.734 (4.738)	Prec@5 11.328 (16.188)
Epoch: [22][4110/7045]	Time 0.275 (0.250)	Data 0.224 (0.187)	Loss 5.1269 (5.0040)	Prec@1 2.344 (4.736)	Prec@5 12.500 (16.187)
Epoch: [22][4120/7045]	Time 0.210 (0.250)	Data 0.160 (0.187)	Loss 4.9169 (5.0040)	Prec@1 3.516 (4.737)	Prec@5 16.797 (16.187)
Epoch: [22][4130/7045]	Time 0.159 (0.250)	Data 0.107 (0.187)	Loss 4.9438 (5.0041)	Prec@1 5.469 (4.734)	Prec@5 16.016 (16.187)
Epoch: [22][4140/7045]	Time 0.546 (0.250)	Data 0.493 (0.187)	Loss 4.9731 (5.0041)	Prec@1 4.688 (4.734)	Prec@5 12.109 (16.186)
Epoch: [22][4150/7045]	Time 0.149 (0.250)	Data 0.097 (0.187)	Loss 5.1062 (5.0040)	Prec@1 1.953 (4.736)	Prec@5 17.578 (16.188)
Epoch: [22][4160/7045]	Time 0.661 (0.250)	Data 0.610 (0.187)	Loss 5.0234 (5.0040)	Prec@1 5.078 (4.737)	Prec@5 16.797 (16.188)
Epoch: [22][4170/7045]	Time 0.110 (0.250)	Data 0.001 (0.187)	Loss 5.0732 (5.0040)	Prec@1 3.906 (4.736)	Prec@5 15.234 (16.187)
Epoch: [22][4180/7045]	Time 0.559 (0.250)	Data 0.507 (0.187)	Loss 4.9302 (5.0039)	Prec@1 5.469 (4.737)	Prec@5 16.797 (16.189)
Epoch: [22][4190/7045]	Time 0.109 (0.250)	Data 0.001 (0.187)	Loss 4.9624 (5.0038)	Prec@1 5.469 (4.739)	Prec@5 16.406 (16.192)
Epoch: [22][4200/7045]	Time 0.499 (0.250)	Data 0.448 (0.187)	Loss 4.9470 (5.0038)	Prec@1 4.688 (4.739)	Prec@5 17.578 (16.193)
Epoch: [22][4210/7045]	Time 0.101 (0.250)	Data 0.001 (0.187)	Loss 4.9692 (5.0037)	Prec@1 5.469 (4.739)	Prec@5 15.625 (16.194)
Epoch: [22][4220/7045]	Time 0.205 (0.250)	Data 0.148 (0.187)	Loss 4.8138 (5.0036)	Prec@1 6.250 (4.740)	Prec@5 21.875 (16.195)
Epoch: [22][4230/7045]	Time 0.114 (0.250)	Data 0.063 (0.187)	Loss 4.9882 (5.0037)	Prec@1 5.078 (4.740)	Prec@5 15.234 (16.196)
Epoch: [22][4240/7045]	Time 0.308 (0.250)	Data 0.247 (0.187)	Loss 4.9264 (5.0037)	Prec@1 3.906 (4.739)	Prec@5 16.406 (16.194)
Epoch: [22][4250/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 5.0101 (5.0037)	Prec@1 4.297 (4.741)	Prec@5 18.359 (16.194)
Epoch: [22][4260/7045]	Time 0.109 (0.250)	Data 0.056 (0.187)	Loss 4.9906 (5.0038)	Prec@1 3.516 (4.737)	Prec@5 14.062 (16.189)
Epoch: [22][4270/7045]	Time 0.148 (0.250)	Data 0.097 (0.187)	Loss 4.8861 (5.0038)	Prec@1 4.297 (4.739)	Prec@5 18.359 (16.191)
Epoch: [22][4280/7045]	Time 0.217 (0.250)	Data 0.165 (0.187)	Loss 4.7839 (5.0037)	Prec@1 6.641 (4.739)	Prec@5 19.922 (16.192)
Epoch: [22][4290/7045]	Time 0.102 (0.250)	Data 0.009 (0.187)	Loss 4.8915 (5.0036)	Prec@1 4.688 (4.740)	Prec@5 17.188 (16.192)
Epoch: [22][4300/7045]	Time 0.135 (0.250)	Data 0.084 (0.187)	Loss 5.0224 (5.0036)	Prec@1 8.203 (4.741)	Prec@5 16.016 (16.193)
Epoch: [22][4310/7045]	Time 0.110 (0.250)	Data 0.027 (0.187)	Loss 4.8543 (5.0034)	Prec@1 5.078 (4.740)	Prec@5 17.578 (16.193)
Epoch: [22][4320/7045]	Time 0.159 (0.250)	Data 0.108 (0.187)	Loss 5.1275 (5.0035)	Prec@1 4.297 (4.739)	Prec@5 14.453 (16.192)
Epoch: [22][4330/7045]	Time 0.596 (0.250)	Data 0.536 (0.187)	Loss 4.9304 (5.0035)	Prec@1 2.734 (4.740)	Prec@5 16.016 (16.193)
Epoch: [22][4340/7045]	Time 0.113 (0.250)	Data 0.054 (0.187)	Loss 4.9035 (5.0036)	Prec@1 4.297 (4.740)	Prec@5 17.969 (16.192)
Epoch: [22][4350/7045]	Time 0.433 (0.250)	Data 0.381 (0.187)	Loss 4.9061 (5.0034)	Prec@1 5.078 (4.741)	Prec@5 17.969 (16.193)
Epoch: [22][4360/7045]	Time 0.212 (0.250)	Data 0.160 (0.187)	Loss 4.9883 (5.0034)	Prec@1 5.078 (4.743)	Prec@5 16.797 (16.197)
Epoch: [22][4370/7045]	Time 0.102 (0.250)	Data 0.009 (0.187)	Loss 5.0326 (5.0034)	Prec@1 4.688 (4.742)	Prec@5 16.797 (16.198)
Epoch: [22][4380/7045]	Time 0.341 (0.250)	Data 0.290 (0.187)	Loss 4.9657 (5.0032)	Prec@1 5.469 (4.744)	Prec@5 16.016 (16.200)
Epoch: [22][4390/7045]	Time 0.290 (0.250)	Data 0.234 (0.187)	Loss 4.9924 (5.0031)	Prec@1 3.125 (4.745)	Prec@5 17.188 (16.206)
Epoch: [22][4400/7045]	Time 0.224 (0.250)	Data 0.173 (0.187)	Loss 5.1415 (5.0032)	Prec@1 3.516 (4.744)	Prec@5 13.281 (16.205)
Epoch: [22][4410/7045]	Time 0.202 (0.250)	Data 0.152 (0.187)	Loss 4.9990 (5.0032)	Prec@1 5.469 (4.745)	Prec@5 16.797 (16.207)
Epoch: [22][4420/7045]	Time 0.246 (0.250)	Data 0.195 (0.187)	Loss 5.0535 (5.0033)	Prec@1 3.516 (4.746)	Prec@5 14.062 (16.208)
Epoch: [22][4430/7045]	Time 0.151 (0.250)	Data 0.101 (0.187)	Loss 5.0018 (5.0033)	Prec@1 4.688 (4.746)	Prec@5 17.188 (16.208)
Epoch: [22][4440/7045]	Time 0.176 (0.250)	Data 0.125 (0.187)	Loss 4.8709 (5.0032)	Prec@1 6.250 (4.747)	Prec@5 20.703 (16.208)
Epoch: [22][4450/7045]	Time 0.566 (0.250)	Data 0.507 (0.187)	Loss 5.0089 (5.0031)	Prec@1 5.078 (4.747)	Prec@5 14.844 (16.211)
Epoch: [22][4460/7045]	Time 0.108 (0.250)	Data 0.047 (0.187)	Loss 4.9474 (5.0031)	Prec@1 5.078 (4.747)	Prec@5 17.188 (16.212)
Epoch: [22][4470/7045]	Time 0.533 (0.250)	Data 0.481 (0.187)	Loss 5.0163 (5.0031)	Prec@1 5.469 (4.747)	Prec@5 15.625 (16.210)
Epoch: [22][4480/7045]	Time 0.102 (0.250)	Data 0.005 (0.187)	Loss 5.0015 (5.0030)	Prec@1 4.688 (4.747)	Prec@5 15.625 (16.210)
Epoch: [22][4490/7045]	Time 0.241 (0.250)	Data 0.190 (0.187)	Loss 4.9883 (5.0030)	Prec@1 5.078 (4.748)	Prec@5 16.406 (16.212)
Epoch: [22][4500/7045]	Time 0.121 (0.250)	Data 0.071 (0.187)	Loss 4.9732 (5.0029)	Prec@1 5.859 (4.749)	Prec@5 15.234 (16.214)
Epoch: [22][4510/7045]	Time 0.101 (0.250)	Data 0.001 (0.187)	Loss 4.9049 (5.0028)	Prec@1 7.422 (4.750)	Prec@5 18.359 (16.217)
Epoch: [22][4520/7045]	Time 0.366 (0.250)	Data 0.314 (0.187)	Loss 4.8701 (5.0026)	Prec@1 6.250 (4.751)	Prec@5 14.844 (16.219)
Epoch: [22][4530/7045]	Time 0.216 (0.250)	Data 0.165 (0.187)	Loss 5.1663 (5.0026)	Prec@1 4.688 (4.752)	Prec@5 14.062 (16.221)
Epoch: [22][4540/7045]	Time 0.104 (0.250)	Data 0.052 (0.187)	Loss 5.2104 (5.0026)	Prec@1 4.688 (4.753)	Prec@5 12.109 (16.221)
Epoch: [22][4550/7045]	Time 0.318 (0.250)	Data 0.267 (0.187)	Loss 5.0149 (5.0024)	Prec@1 6.250 (4.754)	Prec@5 16.016 (16.222)
Epoch: [22][4560/7045]	Time 0.222 (0.250)	Data 0.171 (0.187)	Loss 5.2646 (5.0026)	Prec@1 3.125 (4.753)	Prec@5 12.500 (16.219)
Epoch: [22][4570/7045]	Time 0.101 (0.250)	Data 0.001 (0.187)	Loss 5.2639 (5.0028)	Prec@1 5.469 (4.751)	Prec@5 13.672 (16.216)
Epoch: [22][4580/7045]	Time 0.789 (0.250)	Data 0.737 (0.187)	Loss 5.0096 (5.0030)	Prec@1 6.641 (4.750)	Prec@5 17.578 (16.213)
Epoch: [22][4590/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 4.9059 (5.0031)	Prec@1 5.469 (4.749)	Prec@5 20.703 (16.212)
Epoch: [22][4600/7045]	Time 0.456 (0.250)	Data 0.406 (0.187)	Loss 5.0277 (5.0031)	Prec@1 2.344 (4.748)	Prec@5 13.672 (16.212)
Epoch: [22][4610/7045]	Time 0.400 (0.250)	Data 0.349 (0.187)	Loss 4.9155 (5.0030)	Prec@1 7.031 (4.747)	Prec@5 20.312 (16.211)
Epoch: [22][4620/7045]	Time 0.107 (0.250)	Data 0.055 (0.187)	Loss 4.9700 (5.0030)	Prec@1 3.516 (4.747)	Prec@5 16.797 (16.210)
Epoch: [22][4630/7045]	Time 0.560 (0.250)	Data 0.509 (0.187)	Loss 4.8677 (5.0030)	Prec@1 7.422 (4.747)	Prec@5 18.359 (16.209)
Epoch: [22][4640/7045]	Time 0.195 (0.250)	Data 0.143 (0.187)	Loss 4.9293 (5.0030)	Prec@1 5.078 (4.749)	Prec@5 17.969 (16.210)
Epoch: [22][4650/7045]	Time 0.455 (0.250)	Data 0.403 (0.187)	Loss 5.0705 (5.0029)	Prec@1 3.906 (4.749)	Prec@5 14.062 (16.213)
Epoch: [22][4660/7045]	Time 0.345 (0.250)	Data 0.294 (0.187)	Loss 5.0622 (5.0029)	Prec@1 2.344 (4.750)	Prec@5 12.109 (16.212)
Epoch: [22][4670/7045]	Time 0.304 (0.250)	Data 0.254 (0.187)	Loss 5.0138 (5.0029)	Prec@1 4.297 (4.750)	Prec@5 14.453 (16.212)
Epoch: [22][4680/7045]	Time 0.595 (0.250)	Data 0.544 (0.187)	Loss 5.0302 (5.0029)	Prec@1 3.125 (4.749)	Prec@5 10.547 (16.209)
Epoch: [22][4690/7045]	Time 0.103 (0.250)	Data 0.051 (0.187)	Loss 4.7122 (5.0029)	Prec@1 5.078 (4.749)	Prec@5 21.094 (16.210)
Epoch: [22][4700/7045]	Time 0.506 (0.250)	Data 0.453 (0.187)	Loss 4.8820 (5.0029)	Prec@1 8.594 (4.749)	Prec@5 21.094 (16.210)
Epoch: [22][4710/7045]	Time 0.109 (0.250)	Data 0.012 (0.187)	Loss 4.9930 (5.0029)	Prec@1 5.078 (4.748)	Prec@5 16.406 (16.209)
Epoch: [22][4720/7045]	Time 0.514 (0.250)	Data 0.464 (0.187)	Loss 5.0397 (5.0028)	Prec@1 4.297 (4.749)	Prec@5 16.797 (16.212)
Epoch: [22][4730/7045]	Time 0.269 (0.250)	Data 0.218 (0.187)	Loss 4.9085 (5.0027)	Prec@1 5.859 (4.749)	Prec@5 16.797 (16.213)
Epoch: [22][4740/7045]	Time 0.165 (0.250)	Data 0.115 (0.187)	Loss 5.0414 (5.0028)	Prec@1 6.250 (4.749)	Prec@5 16.797 (16.213)
Epoch: [22][4750/7045]	Time 0.552 (0.250)	Data 0.501 (0.187)	Loss 4.9896 (5.0026)	Prec@1 5.859 (4.749)	Prec@5 19.531 (16.216)
Epoch: [22][4760/7045]	Time 0.251 (0.250)	Data 0.192 (0.187)	Loss 5.0787 (5.0027)	Prec@1 5.469 (4.749)	Prec@5 16.797 (16.215)
Epoch: [22][4770/7045]	Time 0.529 (0.250)	Data 0.478 (0.187)	Loss 5.0942 (5.0026)	Prec@1 3.906 (4.749)	Prec@5 16.797 (16.214)
Epoch: [22][4780/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 5.1018 (5.0026)	Prec@1 4.297 (4.749)	Prec@5 16.016 (16.215)
Epoch: [22][4790/7045]	Time 0.109 (0.250)	Data 0.001 (0.187)	Loss 4.9192 (5.0026)	Prec@1 4.297 (4.747)	Prec@5 17.188 (16.216)
Epoch: [22][4800/7045]	Time 0.242 (0.250)	Data 0.192 (0.187)	Loss 4.9165 (5.0026)	Prec@1 7.031 (4.748)	Prec@5 21.094 (16.217)
Epoch: [22][4810/7045]	Time 0.194 (0.250)	Data 0.142 (0.187)	Loss 5.0007 (5.0027)	Prec@1 3.906 (4.748)	Prec@5 12.500 (16.213)
Epoch: [22][4820/7045]	Time 0.222 (0.250)	Data 0.161 (0.187)	Loss 5.0002 (5.0028)	Prec@1 7.031 (4.747)	Prec@5 19.922 (16.212)
Epoch: [22][4830/7045]	Time 0.102 (0.250)	Data 0.011 (0.187)	Loss 4.9240 (5.0028)	Prec@1 4.297 (4.747)	Prec@5 17.188 (16.213)
Epoch: [22][4840/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 4.9371 (5.0026)	Prec@1 3.516 (4.749)	Prec@5 17.969 (16.214)
Epoch: [22][4850/7045]	Time 0.375 (0.250)	Data 0.324 (0.187)	Loss 4.9214 (5.0026)	Prec@1 3.516 (4.749)	Prec@5 13.672 (16.212)
Epoch: [22][4860/7045]	Time 0.114 (0.250)	Data 0.061 (0.187)	Loss 5.0417 (5.0024)	Prec@1 4.688 (4.751)	Prec@5 17.188 (16.215)
Epoch: [22][4870/7045]	Time 0.302 (0.250)	Data 0.250 (0.187)	Loss 5.0375 (5.0023)	Prec@1 4.688 (4.752)	Prec@5 18.359 (16.216)
Epoch: [22][4880/7045]	Time 0.333 (0.250)	Data 0.280 (0.187)	Loss 4.9278 (5.0023)	Prec@1 3.516 (4.751)	Prec@5 21.094 (16.216)
Epoch: [22][4890/7045]	Time 0.412 (0.250)	Data 0.361 (0.187)	Loss 5.0364 (5.0023)	Prec@1 4.688 (4.751)	Prec@5 16.797 (16.215)
Epoch: [22][4900/7045]	Time 0.360 (0.250)	Data 0.309 (0.187)	Loss 5.1571 (5.0023)	Prec@1 4.688 (4.751)	Prec@5 14.844 (16.212)
Epoch: [22][4910/7045]	Time 0.192 (0.250)	Data 0.142 (0.187)	Loss 5.0310 (5.0023)	Prec@1 4.297 (4.751)	Prec@5 13.281 (16.211)
Epoch: [22][4920/7045]	Time 0.406 (0.250)	Data 0.350 (0.187)	Loss 4.9887 (5.0023)	Prec@1 8.203 (4.752)	Prec@5 15.625 (16.211)
Epoch: [22][4930/7045]	Time 0.114 (0.250)	Data 0.054 (0.187)	Loss 5.0593 (5.0022)	Prec@1 5.859 (4.754)	Prec@5 14.453 (16.213)
Epoch: [22][4940/7045]	Time 0.128 (0.250)	Data 0.077 (0.187)	Loss 5.0140 (5.0022)	Prec@1 5.078 (4.753)	Prec@5 15.234 (16.212)
Epoch: [22][4950/7045]	Time 0.457 (0.250)	Data 0.406 (0.187)	Loss 4.8850 (5.0021)	Prec@1 3.516 (4.752)	Prec@5 17.969 (16.210)
Epoch: [22][4960/7045]	Time 0.336 (0.250)	Data 0.284 (0.187)	Loss 4.9986 (5.0020)	Prec@1 5.469 (4.754)	Prec@5 17.578 (16.215)
Epoch: [22][4970/7045]	Time 0.155 (0.250)	Data 0.104 (0.187)	Loss 4.8918 (5.0019)	Prec@1 5.078 (4.754)	Prec@5 17.578 (16.216)
Epoch: [22][4980/7045]	Time 0.381 (0.250)	Data 0.331 (0.187)	Loss 4.8042 (5.0017)	Prec@1 5.469 (4.754)	Prec@5 19.922 (16.217)
Epoch: [22][4990/7045]	Time 0.648 (0.250)	Data 0.595 (0.187)	Loss 5.0148 (5.0016)	Prec@1 3.906 (4.756)	Prec@5 14.062 (16.221)
Epoch: [22][5000/7045]	Time 0.100 (0.250)	Data 0.001 (0.187)	Loss 5.0161 (5.0017)	Prec@1 3.906 (4.755)	Prec@5 15.625 (16.218)
Epoch: [22][5010/7045]	Time 0.274 (0.250)	Data 0.222 (0.187)	Loss 4.9194 (5.0017)	Prec@1 6.250 (4.754)	Prec@5 17.969 (16.216)
Epoch: [22][5020/7045]	Time 0.225 (0.250)	Data 0.167 (0.187)	Loss 4.9691 (5.0018)	Prec@1 5.078 (4.754)	Prec@5 22.266 (16.215)
Epoch: [22][5030/7045]	Time 0.103 (0.250)	Data 0.052 (0.187)	Loss 5.0398 (5.0018)	Prec@1 4.297 (4.753)	Prec@5 14.844 (16.214)
Epoch: [22][5040/7045]	Time 0.743 (0.250)	Data 0.691 (0.187)	Loss 4.9669 (5.0021)	Prec@1 6.250 (4.751)	Prec@5 17.578 (16.210)
Epoch: [22][5050/7045]	Time 0.113 (0.250)	Data 0.061 (0.187)	Loss 4.9733 (5.0022)	Prec@1 5.859 (4.751)	Prec@5 16.797 (16.209)
Epoch: [22][5060/7045]	Time 0.350 (0.250)	Data 0.299 (0.187)	Loss 4.9743 (5.0023)	Prec@1 8.984 (4.751)	Prec@5 19.141 (16.208)
Epoch: [22][5070/7045]	Time 0.509 (0.250)	Data 0.450 (0.187)	Loss 4.8731 (5.0024)	Prec@1 6.641 (4.751)	Prec@5 20.312 (16.207)
Epoch: [22][5080/7045]	Time 0.107 (0.250)	Data 0.056 (0.187)	Loss 4.9429 (5.0025)	Prec@1 5.859 (4.749)	Prec@5 18.750 (16.207)
Epoch: [22][5090/7045]	Time 0.721 (0.250)	Data 0.671 (0.187)	Loss 5.0149 (5.0025)	Prec@1 4.688 (4.748)	Prec@5 16.406 (16.205)
Epoch: [22][5100/7045]	Time 0.332 (0.250)	Data 0.281 (0.187)	Loss 5.0320 (5.0025)	Prec@1 3.125 (4.749)	Prec@5 12.109 (16.204)
Epoch: [22][5110/7045]	Time 0.257 (0.250)	Data 0.207 (0.187)	Loss 4.9479 (5.0025)	Prec@1 3.906 (4.749)	Prec@5 13.281 (16.203)
Epoch: [22][5120/7045]	Time 0.581 (0.250)	Data 0.530 (0.187)	Loss 4.9681 (5.0026)	Prec@1 4.297 (4.749)	Prec@5 17.188 (16.203)
Epoch: [22][5130/7045]	Time 0.108 (0.250)	Data 0.001 (0.187)	Loss 4.9825 (5.0027)	Prec@1 4.688 (4.748)	Prec@5 14.062 (16.200)
Epoch: [22][5140/7045]	Time 0.505 (0.250)	Data 0.454 (0.187)	Loss 4.9543 (5.0026)	Prec@1 4.297 (4.748)	Prec@5 16.406 (16.201)
Epoch: [22][5150/7045]	Time 0.158 (0.250)	Data 0.106 (0.187)	Loss 5.0328 (5.0027)	Prec@1 6.250 (4.749)	Prec@5 16.016 (16.201)
Epoch: [22][5160/7045]	Time 0.233 (0.250)	Data 0.182 (0.187)	Loss 5.2119 (5.0029)	Prec@1 4.688 (4.747)	Prec@5 12.891 (16.198)
Epoch: [22][5170/7045]	Time 0.418 (0.250)	Data 0.367 (0.187)	Loss 5.1582 (5.0030)	Prec@1 2.344 (4.746)	Prec@5 10.938 (16.197)
Epoch: [22][5180/7045]	Time 0.100 (0.250)	Data 0.047 (0.187)	Loss 5.1092 (5.0029)	Prec@1 5.859 (4.747)	Prec@5 14.453 (16.198)
Epoch: [22][5190/7045]	Time 0.476 (0.250)	Data 0.424 (0.187)	Loss 4.9498 (5.0029)	Prec@1 3.906 (4.747)	Prec@5 17.969 (16.197)
Epoch: [22][5200/7045]	Time 0.101 (0.250)	Data 0.001 (0.187)	Loss 4.9831 (5.0030)	Prec@1 4.297 (4.746)	Prec@5 17.578 (16.196)
Epoch: [22][5210/7045]	Time 0.540 (0.250)	Data 0.488 (0.187)	Loss 5.0094 (5.0032)	Prec@1 3.906 (4.745)	Prec@5 14.844 (16.191)
Epoch: [22][5220/7045]	Time 0.334 (0.250)	Data 0.283 (0.187)	Loss 5.0756 (5.0032)	Prec@1 4.688 (4.745)	Prec@5 14.844 (16.188)
Epoch: [22][5230/7045]	Time 0.434 (0.250)	Data 0.382 (0.187)	Loss 5.0404 (5.0032)	Prec@1 3.125 (4.744)	Prec@5 12.891 (16.187)
Epoch: [22][5240/7045]	Time 0.109 (0.250)	Data 0.058 (0.187)	Loss 5.0543 (5.0033)	Prec@1 2.734 (4.743)	Prec@5 14.453 (16.184)
Epoch: [22][5250/7045]	Time 0.281 (0.250)	Data 0.223 (0.187)	Loss 5.1488 (5.0035)	Prec@1 3.516 (4.741)	Prec@5 12.891 (16.182)
Epoch: [22][5260/7045]	Time 0.342 (0.250)	Data 0.291 (0.187)	Loss 4.9693 (5.0036)	Prec@1 5.469 (4.740)	Prec@5 18.359 (16.181)
Epoch: [22][5270/7045]	Time 0.102 (0.250)	Data 0.002 (0.187)	Loss 4.9476 (5.0036)	Prec@1 5.859 (4.741)	Prec@5 20.312 (16.181)
Epoch: [22][5280/7045]	Time 0.537 (0.250)	Data 0.484 (0.187)	Loss 4.9949 (5.0036)	Prec@1 7.422 (4.742)	Prec@5 17.578 (16.182)
Epoch: [22][5290/7045]	Time 0.409 (0.250)	Data 0.357 (0.187)	Loss 5.1026 (5.0035)	Prec@1 6.250 (4.743)	Prec@5 17.578 (16.183)
Epoch: [22][5300/7045]	Time 0.127 (0.250)	Data 0.075 (0.187)	Loss 4.9674 (5.0035)	Prec@1 4.688 (4.743)	Prec@5 15.234 (16.184)
Epoch: [22][5310/7045]	Time 0.729 (0.250)	Data 0.678 (0.187)	Loss 5.1252 (5.0035)	Prec@1 3.125 (4.742)	Prec@5 13.281 (16.181)
Epoch: [22][5320/7045]	Time 0.099 (0.250)	Data 0.001 (0.187)	Loss 4.9768 (5.0036)	Prec@1 3.906 (4.741)	Prec@5 17.969 (16.182)
Epoch: [22][5330/7045]	Time 0.733 (0.250)	Data 0.672 (0.187)	Loss 5.0221 (5.0037)	Prec@1 3.516 (4.740)	Prec@5 14.453 (16.178)
Epoch: [22][5340/7045]	Time 0.110 (0.250)	Data 0.001 (0.187)	Loss 5.1333 (5.0038)	Prec@1 1.562 (4.740)	Prec@5 10.156 (16.177)
Epoch: [22][5350/7045]	Time 0.642 (0.250)	Data 0.591 (0.187)	Loss 4.9391 (5.0038)	Prec@1 3.516 (4.741)	Prec@5 12.109 (16.177)
Epoch: [22][5360/7045]	Time 0.165 (0.250)	Data 0.106 (0.187)	Loss 4.8384 (5.0036)	Prec@1 4.688 (4.740)	Prec@5 18.750 (16.179)
Epoch: [22][5370/7045]	Time 0.260 (0.250)	Data 0.209 (0.187)	Loss 5.0213 (5.0035)	Prec@1 4.688 (4.740)	Prec@5 17.578 (16.181)
Epoch: [22][5380/7045]	Time 0.632 (0.250)	Data 0.573 (0.187)	Loss 5.0123 (5.0035)	Prec@1 4.297 (4.742)	Prec@5 15.234 (16.181)
Epoch: [22][5390/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 5.2128 (5.0036)	Prec@1 3.125 (4.740)	Prec@5 14.062 (16.180)
Epoch: [22][5400/7045]	Time 0.647 (0.250)	Data 0.591 (0.187)	Loss 4.9099 (5.0036)	Prec@1 4.297 (4.740)	Prec@5 19.531 (16.180)
Epoch: [22][5410/7045]	Time 0.158 (0.250)	Data 0.106 (0.187)	Loss 5.0647 (5.0037)	Prec@1 5.469 (4.740)	Prec@5 14.844 (16.179)
Epoch: [22][5420/7045]	Time 0.468 (0.250)	Data 0.417 (0.187)	Loss 5.0093 (5.0037)	Prec@1 3.906 (4.740)	Prec@5 14.062 (16.178)
Epoch: [22][5430/7045]	Time 0.279 (0.250)	Data 0.228 (0.187)	Loss 4.9060 (5.0035)	Prec@1 6.641 (4.742)	Prec@5 17.188 (16.180)
Epoch: [22][5440/7045]	Time 0.101 (0.250)	Data 0.001 (0.187)	Loss 5.0566 (5.0035)	Prec@1 5.859 (4.742)	Prec@5 15.625 (16.182)
Epoch: [22][5450/7045]	Time 0.717 (0.250)	Data 0.667 (0.187)	Loss 4.8847 (5.0035)	Prec@1 6.250 (4.743)	Prec@5 17.578 (16.183)
Epoch: [22][5460/7045]	Time 0.103 (0.250)	Data 0.001 (0.187)	Loss 4.8741 (5.0034)	Prec@1 6.641 (4.745)	Prec@5 17.969 (16.184)
Epoch: [22][5470/7045]	Time 0.477 (0.250)	Data 0.420 (0.187)	Loss 5.0509 (5.0033)	Prec@1 2.734 (4.744)	Prec@5 13.281 (16.183)
Epoch: [22][5480/7045]	Time 0.103 (0.250)	Data 0.050 (0.187)	Loss 5.1265 (5.0034)	Prec@1 3.516 (4.744)	Prec@5 15.625 (16.181)
Epoch: [22][5490/7045]	Time 0.383 (0.250)	Data 0.331 (0.187)	Loss 5.1051 (5.0035)	Prec@1 4.297 (4.743)	Prec@5 16.797 (16.177)
Epoch: [22][5500/7045]	Time 0.104 (0.250)	Data 0.052 (0.187)	Loss 5.0117 (5.0035)	Prec@1 3.125 (4.742)	Prec@5 12.500 (16.177)
Epoch: [22][5510/7045]	Time 0.258 (0.250)	Data 0.207 (0.187)	Loss 5.0937 (5.0036)	Prec@1 3.906 (4.742)	Prec@5 13.281 (16.175)
Epoch: [22][5520/7045]	Time 0.204 (0.250)	Data 0.153 (0.187)	Loss 5.0821 (5.0038)	Prec@1 2.734 (4.741)	Prec@5 13.672 (16.172)
Epoch: [22][5530/7045]	Time 0.212 (0.250)	Data 0.161 (0.187)	Loss 5.0209 (5.0039)	Prec@1 4.688 (4.741)	Prec@5 17.969 (16.173)
Epoch: [22][5540/7045]	Time 0.103 (0.250)	Data 0.010 (0.187)	Loss 4.9786 (5.0039)	Prec@1 4.688 (4.740)	Prec@5 14.062 (16.170)
Epoch: [22][5550/7045]	Time 0.239 (0.250)	Data 0.187 (0.187)	Loss 4.8519 (5.0039)	Prec@1 6.250 (4.740)	Prec@5 18.359 (16.170)
Epoch: [22][5560/7045]	Time 0.101 (0.250)	Data 0.014 (0.187)	Loss 4.8528 (5.0038)	Prec@1 6.250 (4.741)	Prec@5 22.656 (16.172)
Epoch: [22][5570/7045]	Time 0.576 (0.250)	Data 0.522 (0.187)	Loss 4.8966 (5.0038)	Prec@1 5.078 (4.740)	Prec@5 18.750 (16.171)
Epoch: [22][5580/7045]	Time 0.094 (0.250)	Data 0.001 (0.187)	Loss 4.9473 (5.0038)	Prec@1 4.297 (4.740)	Prec@5 19.531 (16.171)
Epoch: [22][5590/7045]	Time 0.372 (0.250)	Data 0.320 (0.187)	Loss 5.0300 (5.0039)	Prec@1 3.516 (4.739)	Prec@5 15.234 (16.167)
Epoch: [22][5600/7045]	Time 0.228 (0.250)	Data 0.176 (0.187)	Loss 4.9792 (5.0039)	Prec@1 5.078 (4.739)	Prec@5 17.578 (16.167)
Epoch: [22][5610/7045]	Time 0.215 (0.250)	Data 0.165 (0.187)	Loss 5.1795 (5.0040)	Prec@1 2.734 (4.738)	Prec@5 16.016 (16.167)
Epoch: [22][5620/7045]	Time 0.336 (0.250)	Data 0.284 (0.187)	Loss 4.9298 (5.0040)	Prec@1 4.688 (4.738)	Prec@5 16.406 (16.167)
Epoch: [22][5630/7045]	Time 0.101 (0.250)	Data 0.013 (0.187)	Loss 5.0381 (5.0039)	Prec@1 3.516 (4.737)	Prec@5 15.234 (16.167)
Epoch: [22][5640/7045]	Time 0.388 (0.250)	Data 0.337 (0.187)	Loss 5.1624 (5.0039)	Prec@1 1.172 (4.736)	Prec@5 10.156 (16.166)
Epoch: [22][5650/7045]	Time 0.327 (0.250)	Data 0.276 (0.187)	Loss 4.9369 (5.0039)	Prec@1 5.859 (4.736)	Prec@5 19.922 (16.167)
Epoch: [22][5660/7045]	Time 0.559 (0.250)	Data 0.508 (0.187)	Loss 5.0528 (5.0039)	Prec@1 4.297 (4.736)	Prec@5 16.406 (16.165)
Epoch: [22][5670/7045]	Time 0.180 (0.250)	Data 0.130 (0.187)	Loss 5.0743 (5.0041)	Prec@1 3.906 (4.735)	Prec@5 14.062 (16.161)
Epoch: [22][5680/7045]	Time 0.364 (0.250)	Data 0.313 (0.187)	Loss 5.1045 (5.0042)	Prec@1 5.078 (4.734)	Prec@5 16.406 (16.159)
Epoch: [22][5690/7045]	Time 0.415 (0.250)	Data 0.364 (0.187)	Loss 5.1194 (5.0043)	Prec@1 4.297 (4.735)	Prec@5 16.016 (16.159)
Epoch: [22][5700/7045]	Time 0.329 (0.250)	Data 0.277 (0.187)	Loss 4.9696 (5.0043)	Prec@1 6.250 (4.735)	Prec@5 15.625 (16.159)
Epoch: [22][5710/7045]	Time 0.405 (0.250)	Data 0.345 (0.187)	Loss 4.9839 (5.0042)	Prec@1 5.469 (4.735)	Prec@5 19.141 (16.158)
Epoch: [22][5720/7045]	Time 0.407 (0.250)	Data 0.355 (0.187)	Loss 5.2497 (5.0044)	Prec@1 2.734 (4.734)	Prec@5 14.062 (16.156)
Epoch: [22][5730/7045]	Time 0.249 (0.250)	Data 0.190 (0.187)	Loss 5.0595 (5.0044)	Prec@1 4.297 (4.733)	Prec@5 14.062 (16.155)
Epoch: [22][5740/7045]	Time 0.311 (0.250)	Data 0.259 (0.187)	Loss 4.9784 (5.0045)	Prec@1 5.078 (4.733)	Prec@5 16.016 (16.153)
Epoch: [22][5750/7045]	Time 0.103 (0.250)	Data 0.001 (0.187)	Loss 5.0345 (5.0046)	Prec@1 3.516 (4.732)	Prec@5 12.891 (16.151)
Epoch: [22][5760/7045]	Time 0.166 (0.250)	Data 0.115 (0.187)	Loss 5.1160 (5.0046)	Prec@1 5.469 (4.731)	Prec@5 16.016 (16.150)
Epoch: [22][5770/7045]	Time 0.101 (0.250)	Data 0.006 (0.187)	Loss 5.0071 (5.0046)	Prec@1 4.688 (4.730)	Prec@5 19.141 (16.152)
Epoch: [22][5780/7045]	Time 0.127 (0.250)	Data 0.076 (0.187)	Loss 4.9731 (5.0046)	Prec@1 6.641 (4.730)	Prec@5 17.578 (16.153)
Epoch: [22][5790/7045]	Time 0.104 (0.250)	Data 0.006 (0.187)	Loss 5.0381 (5.0046)	Prec@1 4.688 (4.730)	Prec@5 15.234 (16.151)
Epoch: [22][5800/7045]	Time 0.268 (0.250)	Data 0.217 (0.187)	Loss 4.8746 (5.0045)	Prec@1 3.906 (4.731)	Prec@5 18.750 (16.154)
Epoch: [22][5810/7045]	Time 0.109 (0.250)	Data 0.006 (0.187)	Loss 4.9099 (5.0044)	Prec@1 5.859 (4.731)	Prec@5 16.406 (16.157)
Epoch: [22][5820/7045]	Time 0.589 (0.250)	Data 0.537 (0.187)	Loss 4.9584 (5.0044)	Prec@1 5.859 (4.733)	Prec@5 17.969 (16.160)
Epoch: [22][5830/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 4.9955 (5.0044)	Prec@1 3.906 (4.731)	Prec@5 17.969 (16.159)
Epoch: [22][5840/7045]	Time 0.496 (0.250)	Data 0.445 (0.187)	Loss 5.0477 (5.0044)	Prec@1 5.859 (4.732)	Prec@5 17.969 (16.161)
Epoch: [22][5850/7045]	Time 0.102 (0.250)	Data 0.009 (0.187)	Loss 5.0449 (5.0044)	Prec@1 3.906 (4.731)	Prec@5 14.844 (16.159)
Epoch: [22][5860/7045]	Time 0.553 (0.250)	Data 0.502 (0.187)	Loss 4.9492 (5.0044)	Prec@1 4.297 (4.730)	Prec@5 14.844 (16.159)
Epoch: [22][5870/7045]	Time 0.165 (0.250)	Data 0.113 (0.187)	Loss 5.0164 (5.0044)	Prec@1 3.516 (4.730)	Prec@5 16.016 (16.159)
Epoch: [22][5880/7045]	Time 0.418 (0.250)	Data 0.367 (0.187)	Loss 4.8449 (5.0043)	Prec@1 5.469 (4.730)	Prec@5 17.969 (16.159)
Epoch: [22][5890/7045]	Time 0.108 (0.250)	Data 0.007 (0.187)	Loss 5.1130 (5.0044)	Prec@1 3.516 (4.729)	Prec@5 14.844 (16.157)
Epoch: [22][5900/7045]	Time 0.532 (0.250)	Data 0.481 (0.187)	Loss 5.1030 (5.0045)	Prec@1 3.125 (4.729)	Prec@5 11.328 (16.155)
Epoch: [22][5910/7045]	Time 0.167 (0.250)	Data 0.117 (0.187)	Loss 5.1631 (5.0046)	Prec@1 2.344 (4.729)	Prec@5 10.547 (16.154)
Epoch: [22][5920/7045]	Time 0.285 (0.250)	Data 0.235 (0.187)	Loss 4.8945 (5.0045)	Prec@1 5.859 (4.730)	Prec@5 21.094 (16.156)
Epoch: [22][5930/7045]	Time 0.110 (0.250)	Data 0.007 (0.187)	Loss 4.9371 (5.0044)	Prec@1 5.859 (4.731)	Prec@5 18.750 (16.158)
Epoch: [22][5940/7045]	Time 0.329 (0.250)	Data 0.277 (0.186)	Loss 5.2108 (5.0044)	Prec@1 5.078 (4.731)	Prec@5 16.016 (16.159)
Epoch: [22][5950/7045]	Time 0.101 (0.250)	Data 0.003 (0.186)	Loss 5.0319 (5.0046)	Prec@1 3.516 (4.731)	Prec@5 12.891 (16.157)
Epoch: [22][5960/7045]	Time 0.310 (0.250)	Data 0.259 (0.186)	Loss 5.1239 (5.0047)	Prec@1 6.641 (4.730)	Prec@5 16.406 (16.155)
Epoch: [22][5970/7045]	Time 0.190 (0.250)	Data 0.139 (0.186)	Loss 5.1332 (5.0047)	Prec@1 5.469 (4.729)	Prec@5 12.500 (16.153)
Epoch: [22][5980/7045]	Time 0.397 (0.250)	Data 0.340 (0.187)	Loss 5.0250 (5.0048)	Prec@1 3.906 (4.729)	Prec@5 14.062 (16.152)
Epoch: [22][5990/7045]	Time 0.279 (0.250)	Data 0.229 (0.187)	Loss 4.9826 (5.0048)	Prec@1 3.906 (4.728)	Prec@5 13.281 (16.149)
Epoch: [22][6000/7045]	Time 0.266 (0.250)	Data 0.206 (0.187)	Loss 4.9076 (5.0047)	Prec@1 5.469 (4.728)	Prec@5 19.141 (16.150)
Epoch: [22][6010/7045]	Time 0.122 (0.250)	Data 0.072 (0.187)	Loss 5.0569 (5.0048)	Prec@1 3.516 (4.727)	Prec@5 13.281 (16.148)
Epoch: [22][6020/7045]	Time 0.307 (0.250)	Data 0.250 (0.187)	Loss 4.9969 (5.0047)	Prec@1 4.688 (4.728)	Prec@5 17.578 (16.149)
Epoch: [22][6030/7045]	Time 0.216 (0.250)	Data 0.165 (0.187)	Loss 4.9195 (5.0048)	Prec@1 4.688 (4.727)	Prec@5 17.578 (16.148)
Epoch: [22][6040/7045]	Time 0.234 (0.250)	Data 0.174 (0.187)	Loss 4.8151 (5.0047)	Prec@1 8.203 (4.728)	Prec@5 19.922 (16.148)
Epoch: [22][6050/7045]	Time 0.363 (0.250)	Data 0.312 (0.187)	Loss 5.0499 (5.0048)	Prec@1 6.641 (4.729)	Prec@5 16.406 (16.150)
Epoch: [22][6060/7045]	Time 0.207 (0.250)	Data 0.156 (0.187)	Loss 4.8600 (5.0047)	Prec@1 6.250 (4.730)	Prec@5 20.312 (16.153)
Epoch: [22][6070/7045]	Time 0.331 (0.250)	Data 0.277 (0.187)	Loss 5.0243 (5.0045)	Prec@1 3.125 (4.731)	Prec@5 14.844 (16.154)
Epoch: [22][6080/7045]	Time 0.102 (0.250)	Data 0.013 (0.187)	Loss 4.9640 (5.0044)	Prec@1 3.516 (4.731)	Prec@5 15.234 (16.155)
Epoch: [22][6090/7045]	Time 0.291 (0.250)	Data 0.238 (0.187)	Loss 5.1361 (5.0044)	Prec@1 2.344 (4.732)	Prec@5 13.672 (16.157)
Epoch: [22][6100/7045]	Time 0.135 (0.250)	Data 0.083 (0.187)	Loss 4.9400 (5.0045)	Prec@1 3.516 (4.731)	Prec@5 12.891 (16.154)
Epoch: [22][6110/7045]	Time 0.364 (0.250)	Data 0.312 (0.187)	Loss 4.9575 (5.0046)	Prec@1 3.516 (4.730)	Prec@5 12.891 (16.153)
Epoch: [22][6120/7045]	Time 0.163 (0.250)	Data 0.112 (0.187)	Loss 4.9975 (5.0046)	Prec@1 6.641 (4.730)	Prec@5 14.844 (16.151)
Epoch: [22][6130/7045]	Time 0.376 (0.250)	Data 0.324 (0.187)	Loss 5.0075 (5.0046)	Prec@1 5.078 (4.730)	Prec@5 15.234 (16.151)
Epoch: [22][6140/7045]	Time 0.334 (0.250)	Data 0.283 (0.187)	Loss 4.9065 (5.0046)	Prec@1 4.688 (4.730)	Prec@5 17.969 (16.150)
Epoch: [22][6150/7045]	Time 0.275 (0.250)	Data 0.217 (0.187)	Loss 4.9876 (5.0046)	Prec@1 7.031 (4.729)	Prec@5 18.750 (16.150)
Epoch: [22][6160/7045]	Time 0.230 (0.250)	Data 0.179 (0.187)	Loss 5.0214 (5.0045)	Prec@1 3.125 (4.730)	Prec@5 12.891 (16.151)
Epoch: [22][6170/7045]	Time 0.105 (0.250)	Data 0.053 (0.187)	Loss 4.9276 (5.0044)	Prec@1 6.250 (4.729)	Prec@5 16.016 (16.151)
Epoch: [22][6180/7045]	Time 0.172 (0.250)	Data 0.120 (0.187)	Loss 5.0655 (5.0043)	Prec@1 3.516 (4.730)	Prec@5 13.281 (16.152)
Epoch: [22][6190/7045]	Time 0.230 (0.250)	Data 0.180 (0.187)	Loss 5.0512 (5.0043)	Prec@1 6.250 (4.731)	Prec@5 18.359 (16.152)
Epoch: [22][6200/7045]	Time 0.286 (0.250)	Data 0.234 (0.187)	Loss 4.8594 (5.0042)	Prec@1 6.641 (4.731)	Prec@5 21.484 (16.156)
Epoch: [22][6210/7045]	Time 0.309 (0.250)	Data 0.257 (0.187)	Loss 4.9506 (5.0041)	Prec@1 4.688 (4.732)	Prec@5 15.234 (16.159)
Epoch: [22][6220/7045]	Time 0.412 (0.250)	Data 0.361 (0.187)	Loss 5.0002 (5.0042)	Prec@1 2.344 (4.731)	Prec@5 14.453 (16.158)
Epoch: [22][6230/7045]	Time 0.217 (0.250)	Data 0.166 (0.187)	Loss 5.0908 (5.0042)	Prec@1 4.297 (4.731)	Prec@5 13.672 (16.158)
Epoch: [22][6240/7045]	Time 0.443 (0.250)	Data 0.391 (0.187)	Loss 4.9595 (5.0042)	Prec@1 6.250 (4.732)	Prec@5 18.359 (16.157)
Epoch: [22][6250/7045]	Time 0.101 (0.249)	Data 0.001 (0.187)	Loss 4.9594 (5.0042)	Prec@1 5.859 (4.731)	Prec@5 16.406 (16.156)
Epoch: [22][6260/7045]	Time 0.457 (0.250)	Data 0.399 (0.187)	Loss 5.1490 (5.0042)	Prec@1 1.953 (4.731)	Prec@5 12.500 (16.156)
Epoch: [22][6270/7045]	Time 0.207 (0.249)	Data 0.155 (0.187)	Loss 5.1547 (5.0043)	Prec@1 2.344 (4.731)	Prec@5 12.109 (16.155)
Epoch: [22][6280/7045]	Time 0.180 (0.249)	Data 0.127 (0.187)	Loss 5.0485 (5.0043)	Prec@1 5.859 (4.731)	Prec@5 14.844 (16.155)
Epoch: [22][6290/7045]	Time 0.118 (0.249)	Data 0.067 (0.187)	Loss 4.9603 (5.0044)	Prec@1 5.859 (4.732)	Prec@5 20.312 (16.155)
Epoch: [22][6300/7045]	Time 0.101 (0.249)	Data 0.019 (0.187)	Loss 5.0001 (5.0044)	Prec@1 5.859 (4.731)	Prec@5 19.141 (16.155)
Epoch: [22][6310/7045]	Time 0.163 (0.250)	Data 0.111 (0.187)	Loss 5.0734 (5.0044)	Prec@1 4.688 (4.730)	Prec@5 15.234 (16.155)
Epoch: [22][6320/7045]	Time 0.102 (0.249)	Data 0.051 (0.187)	Loss 5.0563 (5.0044)	Prec@1 4.688 (4.731)	Prec@5 17.969 (16.155)
Epoch: [22][6330/7045]	Time 0.122 (0.249)	Data 0.070 (0.187)	Loss 5.1316 (5.0045)	Prec@1 5.859 (4.730)	Prec@5 19.141 (16.155)
Epoch: [22][6340/7045]	Time 0.201 (0.249)	Data 0.150 (0.187)	Loss 4.9405 (5.0045)	Prec@1 4.297 (4.730)	Prec@5 14.844 (16.154)
Epoch: [22][6350/7045]	Time 0.102 (0.249)	Data 0.017 (0.187)	Loss 4.9728 (5.0046)	Prec@1 5.859 (4.729)	Prec@5 17.188 (16.153)
Epoch: [22][6360/7045]	Time 0.323 (0.249)	Data 0.262 (0.187)	Loss 4.9808 (5.0046)	Prec@1 4.688 (4.729)	Prec@5 21.875 (16.155)
Epoch: [22][6370/7045]	Time 0.102 (0.249)	Data 0.001 (0.187)	Loss 5.0181 (5.0045)	Prec@1 6.641 (4.729)	Prec@5 16.406 (16.156)
Epoch: [22][6380/7045]	Time 0.541 (0.249)	Data 0.491 (0.187)	Loss 5.0294 (5.0045)	Prec@1 4.297 (4.729)	Prec@5 13.281 (16.156)
Epoch: [22][6390/7045]	Time 0.109 (0.249)	Data 0.001 (0.187)	Loss 4.9202 (5.0045)	Prec@1 5.469 (4.728)	Prec@5 19.531 (16.156)
Epoch: [22][6400/7045]	Time 0.592 (0.249)	Data 0.541 (0.187)	Loss 4.9108 (5.0045)	Prec@1 6.250 (4.728)	Prec@5 18.750 (16.156)
Epoch: [22][6410/7045]	Time 0.200 (0.249)	Data 0.148 (0.187)	Loss 4.9847 (5.0045)	Prec@1 3.516 (4.727)	Prec@5 14.844 (16.155)
Epoch: [22][6420/7045]	Time 0.312 (0.249)	Data 0.262 (0.187)	Loss 4.9261 (5.0046)	Prec@1 7.422 (4.728)	Prec@5 20.312 (16.157)
Epoch: [22][6430/7045]	Time 0.101 (0.249)	Data 0.018 (0.187)	Loss 4.8452 (5.0046)	Prec@1 4.688 (4.727)	Prec@5 21.484 (16.156)
Epoch: [22][6440/7045]	Time 0.185 (0.249)	Data 0.133 (0.187)	Loss 4.9506 (5.0046)	Prec@1 5.859 (4.729)	Prec@5 16.406 (16.159)
Epoch: [22][6450/7045]	Time 0.102 (0.249)	Data 0.013 (0.187)	Loss 4.9496 (5.0045)	Prec@1 4.688 (4.729)	Prec@5 15.625 (16.160)
Epoch: [22][6460/7045]	Time 0.100 (0.249)	Data 0.001 (0.187)	Loss 5.1520 (5.0046)	Prec@1 4.688 (4.729)	Prec@5 13.672 (16.162)
Epoch: [22][6470/7045]	Time 0.116 (0.249)	Data 0.063 (0.187)	Loss 5.0244 (5.0045)	Prec@1 3.906 (4.729)	Prec@5 17.188 (16.163)
Epoch: [22][6480/7045]	Time 0.102 (0.249)	Data 0.001 (0.187)	Loss 4.9953 (5.0045)	Prec@1 3.906 (4.729)	Prec@5 16.016 (16.164)
Epoch: [22][6490/7045]	Time 0.416 (0.249)	Data 0.364 (0.187)	Loss 5.0647 (5.0044)	Prec@1 4.297 (4.730)	Prec@5 17.969 (16.166)
Epoch: [22][6500/7045]	Time 0.129 (0.249)	Data 0.077 (0.187)	Loss 4.9979 (5.0044)	Prec@1 4.688 (4.729)	Prec@5 15.625 (16.167)
Epoch: [22][6510/7045]	Time 0.553 (0.249)	Data 0.503 (0.187)	Loss 5.1108 (5.0043)	Prec@1 4.688 (4.729)	Prec@5 13.281 (16.166)
Epoch: [22][6520/7045]	Time 0.101 (0.249)	Data 0.011 (0.187)	Loss 4.9371 (5.0043)	Prec@1 5.078 (4.729)	Prec@5 16.797 (16.166)
Epoch: [22][6530/7045]	Time 0.381 (0.249)	Data 0.323 (0.187)	Loss 5.0915 (5.0044)	Prec@1 4.297 (4.730)	Prec@5 13.281 (16.165)
Epoch: [22][6540/7045]	Time 0.513 (0.250)	Data 0.455 (0.187)	Loss 5.1342 (5.0045)	Prec@1 5.469 (4.730)	Prec@5 16.797 (16.165)
Epoch: [22][6550/7045]	Time 0.103 (0.249)	Data 0.001 (0.187)	Loss 4.8981 (5.0045)	Prec@1 6.250 (4.729)	Prec@5 19.141 (16.164)
Epoch: [22][6560/7045]	Time 0.334 (0.250)	Data 0.276 (0.187)	Loss 5.0521 (5.0045)	Prec@1 4.688 (4.729)	Prec@5 14.453 (16.164)
Epoch: [22][6570/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 5.0298 (5.0046)	Prec@1 7.031 (4.728)	Prec@5 17.578 (16.165)
Epoch: [22][6580/7045]	Time 0.278 (0.250)	Data 0.226 (0.187)	Loss 5.1368 (5.0047)	Prec@1 6.250 (4.728)	Prec@5 16.797 (16.163)
Epoch: [22][6590/7045]	Time 0.109 (0.250)	Data 0.001 (0.187)	Loss 5.1541 (5.0047)	Prec@1 4.688 (4.727)	Prec@5 12.109 (16.161)
Epoch: [22][6600/7045]	Time 0.532 (0.250)	Data 0.481 (0.187)	Loss 4.7917 (5.0046)	Prec@1 4.688 (4.727)	Prec@5 19.141 (16.162)
Epoch: [22][6610/7045]	Time 0.101 (0.250)	Data 0.008 (0.187)	Loss 5.1400 (5.0046)	Prec@1 5.859 (4.728)	Prec@5 12.891 (16.161)
Epoch: [22][6620/7045]	Time 0.485 (0.250)	Data 0.434 (0.187)	Loss 4.9783 (5.0047)	Prec@1 5.859 (4.728)	Prec@5 15.625 (16.161)
Epoch: [22][6630/7045]	Time 0.102 (0.249)	Data 0.008 (0.187)	Loss 4.9335 (5.0046)	Prec@1 6.250 (4.728)	Prec@5 16.016 (16.160)
Epoch: [22][6640/7045]	Time 0.282 (0.250)	Data 0.231 (0.187)	Loss 5.0112 (5.0047)	Prec@1 3.906 (4.726)	Prec@5 14.844 (16.159)
Epoch: [22][6650/7045]	Time 0.106 (0.249)	Data 0.055 (0.187)	Loss 5.1226 (5.0047)	Prec@1 5.469 (4.726)	Prec@5 14.062 (16.159)
Epoch: [22][6660/7045]	Time 0.106 (0.249)	Data 0.053 (0.187)	Loss 4.8869 (5.0047)	Prec@1 4.688 (4.726)	Prec@5 16.797 (16.161)
Epoch: [22][6670/7045]	Time 0.152 (0.249)	Data 0.100 (0.187)	Loss 4.9783 (5.0047)	Prec@1 4.297 (4.726)	Prec@5 18.359 (16.161)
Epoch: [22][6680/7045]	Time 0.528 (0.250)	Data 0.477 (0.187)	Loss 5.0963 (5.0048)	Prec@1 5.469 (4.726)	Prec@5 15.234 (16.159)
Epoch: [22][6690/7045]	Time 0.120 (0.250)	Data 0.067 (0.187)	Loss 5.0205 (5.0047)	Prec@1 5.469 (4.726)	Prec@5 18.359 (16.161)
Epoch: [22][6700/7045]	Time 0.681 (0.250)	Data 0.628 (0.187)	Loss 4.9337 (5.0048)	Prec@1 5.078 (4.726)	Prec@5 17.969 (16.159)
Epoch: [22][6710/7045]	Time 0.142 (0.250)	Data 0.091 (0.187)	Loss 4.9564 (5.0047)	Prec@1 4.688 (4.726)	Prec@5 15.625 (16.161)
Epoch: [22][6720/7045]	Time 0.416 (0.250)	Data 0.365 (0.187)	Loss 5.1423 (5.0048)	Prec@1 1.953 (4.726)	Prec@5 10.547 (16.160)
Epoch: [22][6730/7045]	Time 0.187 (0.249)	Data 0.133 (0.187)	Loss 5.0332 (5.0048)	Prec@1 4.688 (4.725)	Prec@5 16.797 (16.160)
Epoch: [22][6740/7045]	Time 0.183 (0.249)	Data 0.132 (0.187)	Loss 5.0490 (5.0048)	Prec@1 6.250 (4.724)	Prec@5 17.969 (16.159)
Epoch: [22][6750/7045]	Time 0.311 (0.250)	Data 0.259 (0.187)	Loss 4.9115 (5.0048)	Prec@1 6.250 (4.725)	Prec@5 17.188 (16.161)
Epoch: [22][6760/7045]	Time 0.480 (0.250)	Data 0.428 (0.187)	Loss 5.1318 (5.0048)	Prec@1 2.734 (4.725)	Prec@5 9.766 (16.159)
Epoch: [22][6770/7045]	Time 0.119 (0.250)	Data 0.068 (0.187)	Loss 5.0124 (5.0048)	Prec@1 3.516 (4.725)	Prec@5 17.188 (16.159)
Epoch: [22][6780/7045]	Time 0.456 (0.250)	Data 0.405 (0.187)	Loss 4.9484 (5.0047)	Prec@1 5.469 (4.726)	Prec@5 15.625 (16.159)
Epoch: [22][6790/7045]	Time 0.330 (0.250)	Data 0.279 (0.187)	Loss 5.0194 (5.0047)	Prec@1 4.688 (4.726)	Prec@5 16.406 (16.161)
Epoch: [22][6800/7045]	Time 0.189 (0.249)	Data 0.137 (0.187)	Loss 4.9732 (5.0048)	Prec@1 5.469 (4.726)	Prec@5 14.062 (16.158)
Epoch: [22][6810/7045]	Time 0.738 (0.250)	Data 0.686 (0.187)	Loss 4.8170 (5.0048)	Prec@1 6.641 (4.725)	Prec@5 20.703 (16.157)
Epoch: [22][6820/7045]	Time 0.101 (0.249)	Data 0.012 (0.187)	Loss 4.9526 (5.0048)	Prec@1 4.688 (4.725)	Prec@5 17.969 (16.158)
Epoch: [22][6830/7045]	Time 0.403 (0.250)	Data 0.352 (0.187)	Loss 4.9163 (5.0048)	Prec@1 4.297 (4.725)	Prec@5 15.625 (16.158)
Epoch: [22][6840/7045]	Time 0.277 (0.249)	Data 0.225 (0.187)	Loss 5.0738 (5.0048)	Prec@1 4.297 (4.725)	Prec@5 14.844 (16.158)
Epoch: [22][6850/7045]	Time 0.232 (0.249)	Data 0.181 (0.187)	Loss 5.0510 (5.0048)	Prec@1 5.469 (4.725)	Prec@5 14.453 (16.157)
Epoch: [22][6860/7045]	Time 0.574 (0.250)	Data 0.523 (0.187)	Loss 4.7943 (5.0050)	Prec@1 7.031 (4.724)	Prec@5 19.922 (16.155)
Epoch: [22][6870/7045]	Time 0.177 (0.249)	Data 0.123 (0.187)	Loss 5.2342 (5.0050)	Prec@1 4.297 (4.723)	Prec@5 15.234 (16.154)
Epoch: [22][6880/7045]	Time 0.409 (0.249)	Data 0.357 (0.187)	Loss 4.9200 (5.0050)	Prec@1 6.250 (4.723)	Prec@5 19.141 (16.153)
Epoch: [22][6890/7045]	Time 0.188 (0.249)	Data 0.137 (0.187)	Loss 5.0824 (5.0050)	Prec@1 5.469 (4.724)	Prec@5 15.234 (16.155)
Epoch: [22][6900/7045]	Time 0.372 (0.249)	Data 0.322 (0.187)	Loss 4.9443 (5.0049)	Prec@1 3.906 (4.724)	Prec@5 13.672 (16.155)
Epoch: [22][6910/7045]	Time 0.235 (0.249)	Data 0.185 (0.187)	Loss 5.0688 (5.0050)	Prec@1 2.344 (4.722)	Prec@5 12.891 (16.154)
Epoch: [22][6920/7045]	Time 0.243 (0.249)	Data 0.192 (0.187)	Loss 4.8059 (5.0049)	Prec@1 4.688 (4.723)	Prec@5 19.141 (16.154)
Epoch: [22][6930/7045]	Time 0.109 (0.249)	Data 0.013 (0.187)	Loss 4.8824 (5.0049)	Prec@1 5.078 (4.722)	Prec@5 16.797 (16.154)
Epoch: [22][6940/7045]	Time 0.168 (0.249)	Data 0.117 (0.187)	Loss 5.0193 (5.0048)	Prec@1 6.250 (4.722)	Prec@5 14.844 (16.155)
Epoch: [22][6950/7045]	Time 0.102 (0.249)	Data 0.001 (0.187)	Loss 5.0326 (5.0049)	Prec@1 4.688 (4.721)	Prec@5 13.281 (16.154)
Epoch: [22][6960/7045]	Time 0.149 (0.249)	Data 0.098 (0.187)	Loss 4.8455 (5.0048)	Prec@1 3.516 (4.721)	Prec@5 19.141 (16.155)
Epoch: [22][6970/7045]	Time 0.109 (0.249)	Data 0.001 (0.187)	Loss 4.9838 (5.0049)	Prec@1 4.688 (4.721)	Prec@5 16.406 (16.155)
Epoch: [22][6980/7045]	Time 0.102 (0.249)	Data 0.001 (0.187)	Loss 4.9978 (5.0049)	Prec@1 6.641 (4.721)	Prec@5 16.406 (16.156)
Epoch: [22][6990/7045]	Time 0.109 (0.249)	Data 0.026 (0.187)	Loss 4.9077 (5.0048)	Prec@1 4.688 (4.722)	Prec@5 16.797 (16.157)
Epoch: [22][7000/7045]	Time 0.103 (0.249)	Data 0.001 (0.187)	Loss 4.9853 (5.0049)	Prec@1 5.469 (4.721)	Prec@5 14.062 (16.157)
Epoch: [22][7010/7045]	Time 0.102 (0.249)	Data 0.015 (0.187)	Loss 4.9733 (5.0049)	Prec@1 4.297 (4.721)	Prec@5 15.625 (16.157)
Epoch: [22][7020/7045]	Time 0.173 (0.249)	Data 0.122 (0.187)	Loss 4.9945 (5.0049)	Prec@1 5.469 (4.721)	Prec@5 16.406 (16.157)
Epoch: [22][7030/7045]	Time 0.260 (0.249)	Data 0.209 (0.187)	Loss 5.0111 (5.0049)	Prec@1 3.516 (4.721)	Prec@5 16.016 (16.157)
Epoch: [22][7040/7045]	Time 0.247 (0.249)	Data 0.196 (0.187)	Loss 4.9144 (5.0048)	Prec@1 5.469 (4.722)	Prec@5 20.312 (16.158)
Test: [0/143]	Time 1.250 (1.250)	Loss 4.9225 (4.9225)	Prec@1 4.688 (4.688)	Prec@5 15.234 (15.234)
Test: [10/143]	Time 0.050 (0.258)	Loss 4.6874 (4.8842)	Prec@1 15.234 (5.398)	Prec@5 31.250 (18.963)
Test: [20/143]	Time 0.307 (0.228)	Loss 5.0752 (4.8414)	Prec@1 5.078 (5.264)	Prec@5 10.156 (19.885)
Test: [30/143]	Time 0.109 (0.213)	Loss 5.0592 (4.8716)	Prec@1 0.391 (5.620)	Prec@5 11.719 (19.367)
Test: [40/143]	Time 0.057 (0.204)	Loss 5.1482 (4.8731)	Prec@1 0.000 (5.745)	Prec@5 0.781 (18.683)
Test: [50/143]	Time 0.155 (0.203)	Loss 4.8883 (4.8952)	Prec@1 1.953 (5.415)	Prec@5 15.625 (17.900)
Test: [60/143]	Time 0.074 (0.198)	Loss 5.0086 (4.8551)	Prec@1 1.172 (5.930)	Prec@5 14.453 (19.589)
Test: [70/143]	Time 0.104 (0.197)	Loss 5.3215 (4.8676)	Prec@1 0.391 (5.617)	Prec@5 4.297 (19.053)
Test: [80/143]	Time 0.048 (0.196)	Loss 4.4722 (4.8588)	Prec@1 6.250 (5.691)	Prec@5 33.984 (19.652)
Test: [90/143]	Time 0.192 (0.194)	Loss 5.0461 (4.8570)	Prec@1 2.734 (5.718)	Prec@5 14.062 (19.750)
Test: [100/143]	Time 0.065 (0.191)	Loss 4.2398 (4.8495)	Prec@1 11.328 (5.739)	Prec@5 41.016 (19.933)
Test: [110/143]	Time 0.165 (0.193)	Loss 4.6673 (4.8399)	Prec@1 14.844 (6.299)	Prec@5 30.469 (20.538)
Test: [120/143]	Time 0.106 (0.190)	Loss 4.7370 (4.8253)	Prec@1 0.000 (6.570)	Prec@5 14.062 (20.942)
Test: [130/143]	Time 0.107 (0.189)	Loss 4.7365 (4.8242)	Prec@1 10.938 (6.527)	Prec@5 23.438 (20.900)
Test: [140/143]	Time 0.145 (0.188)	Loss 5.3111 (4.8413)	Prec@1 0.391 (6.369)	Prec@5 3.125 (20.401)
 * Prec@1 6.356 Prec@5 20.384
Epoch: [23][0/7045]	Time 2.555 (2.555)	Data 2.490 (2.490)	Loss 4.9258 (4.9258)	Prec@1 4.688 (4.688)	Prec@5 15.625 (15.625)
Epoch: [23][10/7045]	Time 0.101 (0.455)	Data 0.001 (0.381)	Loss 4.9757 (4.9793)	Prec@1 4.297 (5.007)	Prec@5 16.406 (16.548)
Epoch: [23][20/7045]	Time 0.576 (0.376)	Data 0.526 (0.301)	Loss 4.8759 (4.9497)	Prec@1 5.859 (5.580)	Prec@5 18.359 (17.188)
Epoch: [23][30/7045]	Time 0.100 (0.328)	Data 0.001 (0.251)	Loss 5.1100 (4.9763)	Prec@1 4.688 (5.381)	Prec@5 15.234 (16.998)
Epoch: [23][40/7045]	Time 0.647 (0.314)	Data 0.596 (0.236)	Loss 5.0133 (4.9874)	Prec@1 2.734 (5.097)	Prec@5 13.281 (16.435)
Epoch: [23][50/7045]	Time 0.101 (0.299)	Data 0.001 (0.223)	Loss 5.0339 (4.9876)	Prec@1 4.297 (5.124)	Prec@5 15.234 (16.529)
Epoch: [23][60/7045]	Time 0.100 (0.292)	Data 0.032 (0.219)	Loss 5.1282 (4.9850)	Prec@1 3.906 (5.065)	Prec@5 11.719 (16.496)
Epoch: [23][70/7045]	Time 0.101 (0.285)	Data 0.006 (0.213)	Loss 5.0241 (4.9859)	Prec@1 3.906 (5.067)	Prec@5 12.891 (16.593)
Epoch: [23][80/7045]	Time 0.490 (0.285)	Data 0.432 (0.214)	Loss 4.9589 (4.9897)	Prec@1 5.469 (5.025)	Prec@5 17.969 (16.536)
Epoch: [23][90/7045]	Time 0.099 (0.281)	Data 0.001 (0.210)	Loss 4.9474 (4.9930)	Prec@1 3.906 (4.936)	Prec@5 19.531 (16.462)
Epoch: [23][100/7045]	Time 0.659 (0.280)	Data 0.607 (0.208)	Loss 5.0073 (4.9999)	Prec@1 4.688 (4.873)	Prec@5 12.500 (16.271)
Epoch: [23][110/7045]	Time 0.108 (0.275)	Data 0.001 (0.202)	Loss 5.2302 (5.0047)	Prec@1 4.297 (4.825)	Prec@5 10.938 (16.093)
Epoch: [23][120/7045]	Time 0.523 (0.274)	Data 0.473 (0.201)	Loss 5.0594 (5.0060)	Prec@1 5.859 (4.842)	Prec@5 14.062 (16.100)
Epoch: [23][130/7045]	Time 0.124 (0.270)	Data 0.073 (0.198)	Loss 5.0073 (5.0067)	Prec@1 5.469 (4.801)	Prec@5 19.531 (16.108)
Epoch: [23][140/7045]	Time 0.122 (0.269)	Data 0.070 (0.199)	Loss 5.0213 (5.0109)	Prec@1 5.469 (4.782)	Prec@5 18.750 (16.052)
Epoch: [23][150/7045]	Time 0.248 (0.268)	Data 0.197 (0.198)	Loss 5.0766 (5.0174)	Prec@1 5.469 (4.791)	Prec@5 14.453 (16.018)
Epoch: [23][160/7045]	Time 0.347 (0.268)	Data 0.297 (0.199)	Loss 5.1475 (5.0230)	Prec@1 5.078 (4.731)	Prec@5 13.672 (15.877)
Epoch: [23][170/7045]	Time 0.101 (0.266)	Data 0.001 (0.198)	Loss 5.0267 (5.0249)	Prec@1 5.859 (4.722)	Prec@5 15.625 (15.890)
Epoch: [23][180/7045]	Time 0.130 (0.265)	Data 0.079 (0.197)	Loss 5.0441 (5.0235)	Prec@1 2.344 (4.737)	Prec@5 15.234 (15.957)
Epoch: [23][190/7045]	Time 0.314 (0.265)	Data 0.263 (0.198)	Loss 5.1775 (5.0229)	Prec@1 4.688 (4.743)	Prec@5 11.719 (15.952)
Epoch: [23][200/7045]	Time 0.101 (0.264)	Data 0.010 (0.197)	Loss 4.9603 (5.0198)	Prec@1 4.297 (4.732)	Prec@5 15.234 (16.006)
Epoch: [23][210/7045]	Time 0.539 (0.264)	Data 0.488 (0.197)	Loss 5.0821 (5.0171)	Prec@1 2.344 (4.741)	Prec@5 13.672 (16.014)
Epoch: [23][220/7045]	Time 0.123 (0.263)	Data 0.072 (0.196)	Loss 4.9459 (5.0146)	Prec@1 6.641 (4.746)	Prec@5 16.016 (16.092)
Epoch: [23][230/7045]	Time 0.183 (0.262)	Data 0.131 (0.196)	Loss 5.0447 (5.0158)	Prec@1 1.953 (4.725)	Prec@5 12.500 (16.049)
Epoch: [23][240/7045]	Time 0.185 (0.261)	Data 0.131 (0.195)	Loss 4.9378 (5.0159)	Prec@1 4.297 (4.705)	Prec@5 17.188 (16.048)
Epoch: [23][250/7045]	Time 0.130 (0.261)	Data 0.079 (0.195)	Loss 5.0689 (5.0178)	Prec@1 5.078 (4.698)	Prec@5 13.281 (16.030)
Epoch: [23][260/7045]	Time 0.100 (0.260)	Data 0.004 (0.194)	Loss 5.0038 (5.0160)	Prec@1 3.906 (4.702)	Prec@5 12.500 (16.034)
Epoch: [23][270/7045]	Time 0.112 (0.260)	Data 0.060 (0.194)	Loss 4.8326 (5.0164)	Prec@1 6.641 (4.699)	Prec@5 20.703 (16.044)
Epoch: [23][280/7045]	Time 0.101 (0.259)	Data 0.006 (0.193)	Loss 5.0458 (5.0152)	Prec@1 2.734 (4.682)	Prec@5 16.406 (16.031)
Epoch: [23][290/7045]	Time 0.149 (0.259)	Data 0.097 (0.194)	Loss 5.0754 (5.0165)	Prec@1 2.344 (4.667)	Prec@5 15.234 (16.012)
Epoch: [23][300/7045]	Time 0.102 (0.258)	Data 0.001 (0.192)	Loss 4.9763 (5.0162)	Prec@1 5.859 (4.643)	Prec@5 16.797 (15.997)
Epoch: [23][310/7045]	Time 0.152 (0.259)	Data 0.100 (0.193)	Loss 4.9697 (5.0145)	Prec@1 3.906 (4.641)	Prec@5 19.531 (16.026)
Epoch: [23][320/7045]	Time 0.101 (0.258)	Data 0.001 (0.191)	Loss 5.0396 (5.0147)	Prec@1 2.344 (4.635)	Prec@5 17.969 (16.022)
Epoch: [23][330/7045]	Time 0.107 (0.258)	Data 0.001 (0.191)	Loss 5.0124 (5.0137)	Prec@1 3.906 (4.641)	Prec@5 16.406 (16.051)
Epoch: [23][340/7045]	Time 0.102 (0.257)	Data 0.045 (0.189)	Loss 4.9761 (5.0123)	Prec@1 2.734 (4.621)	Prec@5 12.891 (16.050)
Epoch: [23][350/7045]	Time 0.188 (0.257)	Data 0.137 (0.190)	Loss 5.0856 (5.0124)	Prec@1 4.297 (4.633)	Prec@5 12.891 (16.032)
Epoch: [23][360/7045]	Time 0.410 (0.257)	Data 0.352 (0.190)	Loss 5.0207 (5.0130)	Prec@1 3.906 (4.619)	Prec@5 14.062 (16.005)
Epoch: [23][370/7045]	Time 0.100 (0.256)	Data 0.004 (0.190)	Loss 5.0630 (5.0132)	Prec@1 4.688 (4.637)	Prec@5 16.016 (16.019)
Epoch: [23][380/7045]	Time 0.543 (0.257)	Data 0.490 (0.190)	Loss 4.9352 (5.0134)	Prec@1 5.078 (4.625)	Prec@5 14.844 (15.997)
Epoch: [23][390/7045]	Time 0.099 (0.256)	Data 0.001 (0.189)	Loss 5.1150 (5.0144)	Prec@1 3.906 (4.605)	Prec@5 16.016 (15.971)
Epoch: [23][400/7045]	Time 0.703 (0.256)	Data 0.646 (0.189)	Loss 4.9398 (5.0145)	Prec@1 5.469 (4.601)	Prec@5 15.625 (15.957)
Epoch: [23][410/7045]	Time 0.101 (0.256)	Data 0.001 (0.188)	Loss 4.8780 (5.0145)	Prec@1 4.297 (4.592)	Prec@5 17.969 (15.969)
Epoch: [23][420/7045]	Time 0.657 (0.256)	Data 0.606 (0.188)	Loss 4.8990 (5.0141)	Prec@1 5.859 (4.585)	Prec@5 20.312 (15.979)
Epoch: [23][430/7045]	Time 0.100 (0.255)	Data 0.001 (0.187)	Loss 4.8507 (5.0132)	Prec@1 6.641 (4.591)	Prec@5 18.750 (15.967)
Epoch: [23][440/7045]	Time 0.654 (0.255)	Data 0.603 (0.187)	Loss 4.9617 (5.0110)	Prec@1 3.906 (4.607)	Prec@5 17.578 (15.991)
Epoch: [23][450/7045]	Time 0.118 (0.254)	Data 0.067 (0.186)	Loss 4.9894 (5.0105)	Prec@1 6.250 (4.605)	Prec@5 14.062 (15.994)
Epoch: [23][460/7045]	Time 0.645 (0.255)	Data 0.593 (0.186)	Loss 4.8087 (5.0098)	Prec@1 6.250 (4.603)	Prec@5 19.531 (16.011)
Epoch: [23][470/7045]	Time 0.100 (0.254)	Data 0.048 (0.185)	Loss 4.9222 (5.0103)	Prec@1 5.859 (4.595)	Prec@5 16.016 (16.013)
Epoch: [23][480/7045]	Time 0.574 (0.254)	Data 0.522 (0.185)	Loss 4.9556 (5.0115)	Prec@1 7.031 (4.600)	Prec@5 20.312 (16.006)
Epoch: [23][490/7045]	Time 0.108 (0.254)	Data 0.057 (0.184)	Loss 5.2204 (5.0131)	Prec@1 1.953 (4.601)	Prec@5 14.453 (15.998)
Epoch: [23][500/7045]	Time 0.283 (0.254)	Data 0.230 (0.185)	Loss 5.1431 (5.0150)	Prec@1 5.469 (4.588)	Prec@5 16.016 (15.972)
Epoch: [23][510/7045]	Time 0.101 (0.254)	Data 0.001 (0.185)	Loss 5.0143 (5.0157)	Prec@1 3.125 (4.584)	Prec@5 17.188 (15.974)
Epoch: [23][520/7045]	Time 0.115 (0.253)	Data 0.062 (0.184)	Loss 5.2370 (5.0165)	Prec@1 3.906 (4.586)	Prec@5 11.719 (15.947)
Epoch: [23][530/7045]	Time 0.406 (0.254)	Data 0.355 (0.185)	Loss 5.0181 (5.0159)	Prec@1 6.641 (4.602)	Prec@5 15.234 (15.971)
Epoch: [23][540/7045]	Time 0.102 (0.253)	Data 0.009 (0.185)	Loss 4.9581 (5.0157)	Prec@1 4.688 (4.603)	Prec@5 17.188 (15.990)
Epoch: [23][550/7045]	Time 0.131 (0.253)	Data 0.081 (0.185)	Loss 4.9537 (5.0154)	Prec@1 4.297 (4.603)	Prec@5 16.406 (15.997)
Epoch: [23][560/7045]	Time 0.230 (0.254)	Data 0.179 (0.185)	Loss 5.2660 (5.0150)	Prec@1 2.344 (4.609)	Prec@5 14.844 (16.010)
Epoch: [23][570/7045]	Time 0.101 (0.253)	Data 0.001 (0.185)	Loss 4.9985 (5.0153)	Prec@1 5.859 (4.616)	Prec@5 15.234 (16.005)
Epoch: [23][580/7045]	Time 0.215 (0.253)	Data 0.164 (0.185)	Loss 4.9151 (5.0148)	Prec@1 7.812 (4.626)	Prec@5 17.578 (16.000)
Epoch: [23][590/7045]	Time 0.103 (0.253)	Data 0.051 (0.184)	Loss 4.9732 (5.0143)	Prec@1 2.734 (4.623)	Prec@5 14.062 (16.002)
Epoch: [23][600/7045]	Time 0.102 (0.253)	Data 0.001 (0.184)	Loss 5.0006 (5.0139)	Prec@1 3.125 (4.619)	Prec@5 15.625 (16.021)
Epoch: [23][610/7045]	Time 0.286 (0.253)	Data 0.235 (0.184)	Loss 4.9559 (5.0125)	Prec@1 5.469 (4.632)	Prec@5 17.188 (16.053)
Epoch: [23][620/7045]	Time 0.158 (0.253)	Data 0.099 (0.184)	Loss 5.0534 (5.0123)	Prec@1 3.906 (4.624)	Prec@5 15.625 (16.048)
Epoch: [23][630/7045]	Time 0.517 (0.253)	Data 0.466 (0.185)	Loss 4.9435 (5.0117)	Prec@1 5.469 (4.624)	Prec@5 14.844 (16.042)
Epoch: [23][640/7045]	Time 0.311 (0.253)	Data 0.254 (0.184)	Loss 5.0753 (5.0119)	Prec@1 3.516 (4.619)	Prec@5 15.625 (16.050)
Epoch: [23][650/7045]	Time 0.153 (0.253)	Data 0.102 (0.184)	Loss 5.0133 (5.0125)	Prec@1 3.906 (4.614)	Prec@5 17.188 (16.039)
Epoch: [23][660/7045]	Time 0.307 (0.253)	Data 0.257 (0.185)	Loss 5.0555 (5.0128)	Prec@1 3.906 (4.615)	Prec@5 14.062 (16.032)
Epoch: [23][670/7045]	Time 0.182 (0.252)	Data 0.131 (0.185)	Loss 5.1450 (5.0134)	Prec@1 4.688 (4.616)	Prec@5 10.156 (16.018)
Epoch: [23][680/7045]	Time 0.447 (0.252)	Data 0.397 (0.185)	Loss 4.8602 (5.0137)	Prec@1 8.203 (4.619)	Prec@5 22.266 (16.025)
Epoch: [23][690/7045]	Time 0.232 (0.252)	Data 0.181 (0.185)	Loss 4.9137 (5.0130)	Prec@1 5.469 (4.622)	Prec@5 19.922 (16.028)
Epoch: [23][700/7045]	Time 0.101 (0.252)	Data 0.001 (0.185)	Loss 4.8797 (5.0129)	Prec@1 4.688 (4.632)	Prec@5 15.625 (16.028)
Epoch: [23][710/7045]	Time 0.108 (0.252)	Data 0.055 (0.184)	Loss 5.0961 (5.0126)	Prec@1 4.297 (4.641)	Prec@5 13.672 (16.028)
Epoch: [23][720/7045]	Time 0.282 (0.252)	Data 0.225 (0.185)	Loss 4.8449 (5.0125)	Prec@1 5.078 (4.640)	Prec@5 18.750 (16.032)
Epoch: [23][730/7045]	Time 0.400 (0.252)	Data 0.340 (0.185)	Loss 4.8421 (5.0119)	Prec@1 5.078 (4.645)	Prec@5 18.750 (16.031)
Epoch: [23][740/7045]	Time 0.141 (0.252)	Data 0.091 (0.184)	Loss 4.9809 (5.0112)	Prec@1 5.078 (4.653)	Prec@5 16.016 (16.046)
Epoch: [23][750/7045]	Time 0.335 (0.252)	Data 0.284 (0.184)	Loss 4.9405 (5.0107)	Prec@1 4.688 (4.653)	Prec@5 19.531 (16.052)
Epoch: [23][760/7045]	Time 0.102 (0.252)	Data 0.001 (0.184)	Loss 4.9122 (5.0108)	Prec@1 6.641 (4.650)	Prec@5 19.922 (16.040)
Epoch: [23][770/7045]	Time 0.192 (0.251)	Data 0.142 (0.184)	Loss 5.0773 (5.0108)	Prec@1 1.953 (4.651)	Prec@5 16.016 (16.045)
Epoch: [23][780/7045]	Time 0.187 (0.251)	Data 0.137 (0.184)	Loss 5.1391 (5.0126)	Prec@1 3.906 (4.641)	Prec@5 10.156 (16.016)
Epoch: [23][790/7045]	Time 0.606 (0.252)	Data 0.554 (0.185)	Loss 4.8461 (5.0129)	Prec@1 7.422 (4.639)	Prec@5 19.531 (16.002)
Epoch: [23][800/7045]	Time 0.509 (0.252)	Data 0.458 (0.185)	Loss 5.0572 (5.0131)	Prec@1 5.469 (4.640)	Prec@5 14.453 (15.993)
Epoch: [23][810/7045]	Time 0.193 (0.251)	Data 0.142 (0.184)	Loss 5.0628 (5.0130)	Prec@1 3.516 (4.648)	Prec@5 14.844 (16.003)
Epoch: [23][820/7045]	Time 0.288 (0.251)	Data 0.237 (0.184)	Loss 5.1061 (5.0134)	Prec@1 3.906 (4.648)	Prec@5 17.188 (16.000)
Epoch: [23][830/7045]	Time 0.106 (0.251)	Data 0.017 (0.184)	Loss 4.9297 (5.0132)	Prec@1 4.688 (4.656)	Prec@5 18.359 (16.014)
Epoch: [23][840/7045]	Time 0.239 (0.251)	Data 0.187 (0.184)	Loss 4.8354 (5.0126)	Prec@1 5.078 (4.664)	Prec@5 17.188 (16.022)
Epoch: [23][850/7045]	Time 0.106 (0.251)	Data 0.009 (0.184)	Loss 5.0947 (5.0136)	Prec@1 3.125 (4.660)	Prec@5 12.500 (16.006)
Epoch: [23][860/7045]	Time 0.228 (0.250)	Data 0.176 (0.184)	Loss 5.0998 (5.0147)	Prec@1 4.688 (4.658)	Prec@5 14.844 (15.987)
Epoch: [23][870/7045]	Time 0.113 (0.251)	Data 0.001 (0.184)	Loss 5.0839 (5.0149)	Prec@1 3.125 (4.655)	Prec@5 14.062 (15.972)
Epoch: [23][880/7045]	Time 0.108 (0.250)	Data 0.058 (0.184)	Loss 5.1466 (5.0163)	Prec@1 3.906 (4.652)	Prec@5 13.672 (15.952)
Epoch: [23][890/7045]	Time 0.144 (0.250)	Data 0.092 (0.184)	Loss 4.9739 (5.0167)	Prec@1 5.078 (4.649)	Prec@5 15.234 (15.945)
Epoch: [23][900/7045]	Time 0.114 (0.250)	Data 0.063 (0.184)	Loss 5.0664 (5.0167)	Prec@1 3.516 (4.644)	Prec@5 15.625 (15.947)
Epoch: [23][910/7045]	Time 0.179 (0.250)	Data 0.128 (0.184)	Loss 4.9806 (5.0172)	Prec@1 4.297 (4.640)	Prec@5 14.062 (15.935)
Epoch: [23][920/7045]	Time 0.480 (0.250)	Data 0.429 (0.184)	Loss 5.0410 (5.0166)	Prec@1 3.516 (4.641)	Prec@5 14.062 (15.942)
Epoch: [23][930/7045]	Time 0.141 (0.250)	Data 0.090 (0.184)	Loss 4.9404 (5.0159)	Prec@1 7.422 (4.647)	Prec@5 16.016 (15.948)
Epoch: [23][940/7045]	Time 0.472 (0.250)	Data 0.422 (0.184)	Loss 5.0858 (5.0159)	Prec@1 2.734 (4.651)	Prec@5 12.500 (15.934)
Epoch: [23][950/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 4.9662 (5.0157)	Prec@1 5.469 (4.652)	Prec@5 19.141 (15.943)
Epoch: [23][960/7045]	Time 0.338 (0.250)	Data 0.277 (0.184)	Loss 4.9695 (5.0157)	Prec@1 2.734 (4.648)	Prec@5 16.016 (15.943)
Epoch: [23][970/7045]	Time 0.197 (0.250)	Data 0.147 (0.184)	Loss 5.0158 (5.0157)	Prec@1 6.641 (4.644)	Prec@5 17.578 (15.949)
Epoch: [23][980/7045]	Time 0.100 (0.250)	Data 0.003 (0.184)	Loss 5.0166 (5.0152)	Prec@1 7.031 (4.649)	Prec@5 17.578 (15.960)
Epoch: [23][990/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 5.0440 (5.0150)	Prec@1 5.078 (4.648)	Prec@5 16.406 (15.966)
Epoch: [23][1000/7045]	Time 0.253 (0.250)	Data 0.202 (0.184)	Loss 4.9344 (5.0155)	Prec@1 3.516 (4.641)	Prec@5 16.797 (15.957)
Epoch: [23][1010/7045]	Time 0.420 (0.250)	Data 0.362 (0.184)	Loss 5.0719 (5.0155)	Prec@1 3.516 (4.636)	Prec@5 13.672 (15.954)
Epoch: [23][1020/7045]	Time 0.189 (0.250)	Data 0.139 (0.184)	Loss 4.9554 (5.0154)	Prec@1 5.859 (4.641)	Prec@5 17.578 (15.965)
Epoch: [23][1030/7045]	Time 0.213 (0.250)	Data 0.162 (0.184)	Loss 4.8519 (5.0149)	Prec@1 3.516 (4.644)	Prec@5 19.531 (15.980)
Epoch: [23][1040/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 4.9869 (5.0146)	Prec@1 3.906 (4.646)	Prec@5 17.188 (15.988)
Epoch: [23][1050/7045]	Time 0.106 (0.250)	Data 0.048 (0.184)	Loss 5.0422 (5.0140)	Prec@1 4.297 (4.646)	Prec@5 17.969 (15.998)
Epoch: [23][1060/7045]	Time 0.139 (0.249)	Data 0.088 (0.184)	Loss 4.9469 (5.0140)	Prec@1 4.297 (4.645)	Prec@5 18.750 (16.012)
Epoch: [23][1070/7045]	Time 0.101 (0.250)	Data 0.047 (0.184)	Loss 5.1000 (5.0137)	Prec@1 4.688 (4.642)	Prec@5 15.625 (16.019)
Epoch: [23][1080/7045]	Time 0.480 (0.250)	Data 0.428 (0.185)	Loss 5.0082 (5.0135)	Prec@1 5.078 (4.647)	Prec@5 18.750 (16.024)
Epoch: [23][1090/7045]	Time 0.101 (0.250)	Data 0.048 (0.185)	Loss 5.0536 (5.0134)	Prec@1 5.469 (4.650)	Prec@5 12.500 (16.021)
Epoch: [23][1100/7045]	Time 0.520 (0.250)	Data 0.469 (0.185)	Loss 4.8939 (5.0131)	Prec@1 5.469 (4.649)	Prec@5 17.578 (16.023)
Epoch: [23][1110/7045]	Time 0.296 (0.249)	Data 0.246 (0.185)	Loss 4.9230 (5.0125)	Prec@1 4.297 (4.652)	Prec@5 17.969 (16.035)
Epoch: [23][1120/7045]	Time 0.451 (0.249)	Data 0.400 (0.185)	Loss 4.8675 (5.0119)	Prec@1 4.297 (4.655)	Prec@5 16.797 (16.043)
Epoch: [23][1130/7045]	Time 0.110 (0.249)	Data 0.049 (0.184)	Loss 4.9437 (5.0118)	Prec@1 5.078 (4.657)	Prec@5 18.359 (16.051)
Epoch: [23][1140/7045]	Time 0.110 (0.249)	Data 0.058 (0.184)	Loss 4.8582 (5.0116)	Prec@1 4.297 (4.653)	Prec@5 19.141 (16.052)
Epoch: [23][1150/7045]	Time 0.102 (0.249)	Data 0.046 (0.184)	Loss 5.0141 (5.0117)	Prec@1 4.688 (4.657)	Prec@5 16.016 (16.052)
Epoch: [23][1160/7045]	Time 0.490 (0.250)	Data 0.438 (0.185)	Loss 5.0198 (5.0120)	Prec@1 5.469 (4.658)	Prec@5 16.797 (16.050)
Epoch: [23][1170/7045]	Time 0.226 (0.249)	Data 0.173 (0.184)	Loss 4.8836 (5.0118)	Prec@1 3.906 (4.657)	Prec@5 16.797 (16.055)
Epoch: [23][1180/7045]	Time 0.120 (0.249)	Data 0.068 (0.185)	Loss 5.1401 (5.0115)	Prec@1 4.688 (4.657)	Prec@5 16.016 (16.062)
Epoch: [23][1190/7045]	Time 0.641 (0.249)	Data 0.589 (0.185)	Loss 5.1367 (5.0115)	Prec@1 2.344 (4.649)	Prec@5 14.844 (16.064)
Epoch: [23][1200/7045]	Time 0.201 (0.249)	Data 0.142 (0.184)	Loss 5.0783 (5.0116)	Prec@1 4.688 (4.656)	Prec@5 16.406 (16.068)
Epoch: [23][1210/7045]	Time 0.368 (0.249)	Data 0.317 (0.185)	Loss 5.0122 (5.0117)	Prec@1 5.859 (4.654)	Prec@5 13.281 (16.062)
Epoch: [23][1220/7045]	Time 0.141 (0.249)	Data 0.089 (0.185)	Loss 5.0019 (5.0117)	Prec@1 5.078 (4.652)	Prec@5 15.234 (16.066)
Epoch: [23][1230/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 4.8094 (5.0110)	Prec@1 7.422 (4.659)	Prec@5 21.484 (16.078)
Epoch: [23][1240/7045]	Time 0.102 (0.249)	Data 0.029 (0.184)	Loss 5.0427 (5.0104)	Prec@1 4.688 (4.662)	Prec@5 14.844 (16.096)
Epoch: [23][1250/7045]	Time 0.548 (0.249)	Data 0.488 (0.185)	Loss 5.0742 (5.0100)	Prec@1 5.469 (4.663)	Prec@5 15.234 (16.105)
Epoch: [23][1260/7045]	Time 0.178 (0.249)	Data 0.127 (0.185)	Loss 5.0112 (5.0098)	Prec@1 3.516 (4.660)	Prec@5 17.969 (16.106)
Epoch: [23][1270/7045]	Time 0.585 (0.249)	Data 0.532 (0.185)	Loss 5.1149 (5.0100)	Prec@1 3.516 (4.660)	Prec@5 12.500 (16.100)
Epoch: [23][1280/7045]	Time 0.198 (0.249)	Data 0.142 (0.185)	Loss 4.9726 (5.0099)	Prec@1 4.297 (4.659)	Prec@5 15.625 (16.099)
Epoch: [23][1290/7045]	Time 0.578 (0.249)	Data 0.526 (0.185)	Loss 5.0005 (5.0098)	Prec@1 3.125 (4.664)	Prec@5 15.625 (16.109)
Epoch: [23][1300/7045]	Time 0.103 (0.249)	Data 0.001 (0.184)	Loss 4.9999 (5.0093)	Prec@1 4.297 (4.664)	Prec@5 14.844 (16.112)
Epoch: [23][1310/7045]	Time 0.364 (0.249)	Data 0.314 (0.184)	Loss 4.9421 (5.0091)	Prec@1 3.125 (4.657)	Prec@5 16.797 (16.111)
Epoch: [23][1320/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 4.9045 (5.0090)	Prec@1 5.078 (4.655)	Prec@5 16.016 (16.111)
Epoch: [23][1330/7045]	Time 0.101 (0.249)	Data 0.005 (0.184)	Loss 5.1614 (5.0093)	Prec@1 1.953 (4.651)	Prec@5 10.938 (16.103)
Epoch: [23][1340/7045]	Time 0.116 (0.249)	Data 0.064 (0.184)	Loss 4.9726 (5.0092)	Prec@1 4.297 (4.648)	Prec@5 15.625 (16.099)
Epoch: [23][1350/7045]	Time 0.110 (0.249)	Data 0.001 (0.184)	Loss 4.8766 (5.0091)	Prec@1 4.688 (4.649)	Prec@5 19.531 (16.097)
Epoch: [23][1360/7045]	Time 0.177 (0.249)	Data 0.128 (0.184)	Loss 4.9855 (5.0089)	Prec@1 5.859 (4.650)	Prec@5 16.797 (16.102)
Epoch: [23][1370/7045]	Time 0.102 (0.249)	Data 0.008 (0.184)	Loss 5.2434 (5.0091)	Prec@1 2.344 (4.650)	Prec@5 10.547 (16.094)
Epoch: [23][1380/7045]	Time 0.138 (0.249)	Data 0.079 (0.184)	Loss 5.1678 (5.0093)	Prec@1 4.297 (4.652)	Prec@5 14.844 (16.086)
Epoch: [23][1390/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 5.0659 (5.0097)	Prec@1 5.859 (4.653)	Prec@5 15.234 (16.080)
Epoch: [23][1400/7045]	Time 0.108 (0.249)	Data 0.001 (0.184)	Loss 5.1419 (5.0105)	Prec@1 2.734 (4.643)	Prec@5 10.156 (16.066)
Epoch: [23][1410/7045]	Time 0.102 (0.249)	Data 0.018 (0.183)	Loss 5.0196 (5.0106)	Prec@1 5.078 (4.648)	Prec@5 15.625 (16.065)
Epoch: [23][1420/7045]	Time 0.102 (0.249)	Data 0.007 (0.184)	Loss 5.2229 (5.0107)	Prec@1 3.906 (4.646)	Prec@5 12.109 (16.066)
Epoch: [23][1430/7045]	Time 0.512 (0.249)	Data 0.460 (0.184)	Loss 4.8091 (5.0104)	Prec@1 5.469 (4.648)	Prec@5 17.188 (16.075)
Epoch: [23][1440/7045]	Time 0.266 (0.249)	Data 0.216 (0.183)	Loss 5.0369 (5.0111)	Prec@1 3.125 (4.647)	Prec@5 17.578 (16.069)
Epoch: [23][1450/7045]	Time 0.165 (0.249)	Data 0.113 (0.183)	Loss 5.1750 (5.0115)	Prec@1 5.078 (4.644)	Prec@5 12.109 (16.061)
Epoch: [23][1460/7045]	Time 0.527 (0.249)	Data 0.477 (0.184)	Loss 5.1163 (5.0119)	Prec@1 3.906 (4.642)	Prec@5 18.750 (16.059)
Epoch: [23][1470/7045]	Time 0.304 (0.249)	Data 0.251 (0.183)	Loss 5.0820 (5.0120)	Prec@1 4.297 (4.646)	Prec@5 15.234 (16.057)
Epoch: [23][1480/7045]	Time 0.200 (0.249)	Data 0.143 (0.183)	Loss 5.0371 (5.0119)	Prec@1 2.734 (4.642)	Prec@5 14.453 (16.052)
Epoch: [23][1490/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 5.1109 (5.0118)	Prec@1 3.516 (4.646)	Prec@5 14.453 (16.054)
Epoch: [23][1500/7045]	Time 0.132 (0.249)	Data 0.080 (0.183)	Loss 5.0012 (5.0117)	Prec@1 5.469 (4.649)	Prec@5 21.484 (16.061)
Epoch: [23][1510/7045]	Time 0.358 (0.248)	Data 0.308 (0.183)	Loss 4.9281 (5.0117)	Prec@1 5.859 (4.654)	Prec@5 18.359 (16.059)
Epoch: [23][1520/7045]	Time 0.117 (0.248)	Data 0.065 (0.183)	Loss 4.9814 (5.0119)	Prec@1 5.859 (4.649)	Prec@5 19.141 (16.058)
Epoch: [23][1530/7045]	Time 0.274 (0.249)	Data 0.223 (0.183)	Loss 5.0143 (5.0119)	Prec@1 4.297 (4.650)	Prec@5 18.359 (16.058)
Epoch: [23][1540/7045]	Time 0.107 (0.249)	Data 0.054 (0.183)	Loss 4.9379 (5.0117)	Prec@1 5.469 (4.651)	Prec@5 18.750 (16.054)
Epoch: [23][1550/7045]	Time 0.333 (0.249)	Data 0.282 (0.184)	Loss 5.0682 (5.0118)	Prec@1 3.125 (4.644)	Prec@5 14.844 (16.048)
Epoch: [23][1560/7045]	Time 0.307 (0.249)	Data 0.256 (0.184)	Loss 5.2011 (5.0123)	Prec@1 2.344 (4.639)	Prec@5 12.891 (16.037)
Epoch: [23][1570/7045]	Time 0.120 (0.249)	Data 0.068 (0.184)	Loss 5.0853 (5.0121)	Prec@1 4.688 (4.644)	Prec@5 14.844 (16.035)
Epoch: [23][1580/7045]	Time 0.225 (0.249)	Data 0.174 (0.184)	Loss 5.1028 (5.0122)	Prec@1 3.516 (4.647)	Prec@5 11.328 (16.032)
Epoch: [23][1590/7045]	Time 0.101 (0.249)	Data 0.001 (0.183)	Loss 5.0263 (5.0122)	Prec@1 3.906 (4.649)	Prec@5 11.719 (16.028)
Epoch: [23][1600/7045]	Time 0.108 (0.249)	Data 0.007 (0.184)	Loss 5.0804 (5.0123)	Prec@1 4.688 (4.653)	Prec@5 13.672 (16.030)
Epoch: [23][1610/7045]	Time 0.416 (0.249)	Data 0.364 (0.184)	Loss 5.0033 (5.0124)	Prec@1 4.297 (4.649)	Prec@5 14.453 (16.023)
Epoch: [23][1620/7045]	Time 0.100 (0.249)	Data 0.001 (0.183)	Loss 5.1130 (5.0125)	Prec@1 5.469 (4.651)	Prec@5 16.016 (16.024)
Epoch: [23][1630/7045]	Time 0.528 (0.249)	Data 0.478 (0.183)	Loss 5.1592 (5.0129)	Prec@1 0.781 (4.647)	Prec@5 8.594 (16.016)
Epoch: [23][1640/7045]	Time 0.214 (0.249)	Data 0.162 (0.183)	Loss 5.0651 (5.0130)	Prec@1 5.078 (4.649)	Prec@5 13.672 (16.010)
Epoch: [23][1650/7045]	Time 0.260 (0.249)	Data 0.209 (0.184)	Loss 5.1043 (5.0131)	Prec@1 4.688 (4.649)	Prec@5 12.109 (16.007)
Epoch: [23][1660/7045]	Time 0.099 (0.248)	Data 0.043 (0.183)	Loss 4.9345 (5.0127)	Prec@1 7.422 (4.654)	Prec@5 17.578 (16.014)
Epoch: [23][1670/7045]	Time 0.157 (0.249)	Data 0.106 (0.183)	Loss 4.9772 (5.0129)	Prec@1 4.297 (4.651)	Prec@5 19.141 (16.010)
Epoch: [23][1680/7045]	Time 0.730 (0.249)	Data 0.678 (0.184)	Loss 4.9897 (5.0129)	Prec@1 4.688 (4.648)	Prec@5 17.188 (16.009)
Epoch: [23][1690/7045]	Time 0.107 (0.248)	Data 0.004 (0.183)	Loss 5.0454 (5.0131)	Prec@1 3.906 (4.648)	Prec@5 12.109 (16.001)
Epoch: [23][1700/7045]	Time 0.338 (0.249)	Data 0.288 (0.183)	Loss 4.9046 (5.0132)	Prec@1 7.031 (4.652)	Prec@5 18.750 (15.999)
Epoch: [23][1710/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 5.0864 (5.0138)	Prec@1 3.516 (4.647)	Prec@5 17.188 (15.994)
Epoch: [23][1720/7045]	Time 0.323 (0.249)	Data 0.271 (0.183)	Loss 5.1163 (5.0142)	Prec@1 1.953 (4.643)	Prec@5 14.062 (15.994)
Epoch: [23][1730/7045]	Time 0.101 (0.248)	Data 0.001 (0.183)	Loss 4.9518 (5.0143)	Prec@1 3.125 (4.641)	Prec@5 12.891 (15.992)
Epoch: [23][1740/7045]	Time 0.387 (0.248)	Data 0.336 (0.183)	Loss 4.9396 (5.0142)	Prec@1 4.297 (4.642)	Prec@5 17.188 (15.993)
Epoch: [23][1750/7045]	Time 0.172 (0.248)	Data 0.121 (0.183)	Loss 5.1449 (5.0140)	Prec@1 3.125 (4.641)	Prec@5 15.625 (15.997)
Epoch: [23][1760/7045]	Time 0.239 (0.248)	Data 0.187 (0.183)	Loss 5.1030 (5.0144)	Prec@1 1.172 (4.638)	Prec@5 12.109 (15.990)
Epoch: [23][1770/7045]	Time 0.167 (0.248)	Data 0.106 (0.183)	Loss 4.8992 (5.0146)	Prec@1 3.906 (4.637)	Prec@5 17.578 (15.985)
Epoch: [23][1780/7045]	Time 0.102 (0.248)	Data 0.043 (0.183)	Loss 5.1649 (5.0148)	Prec@1 3.516 (4.639)	Prec@5 10.547 (15.980)
Epoch: [23][1790/7045]	Time 0.403 (0.248)	Data 0.346 (0.183)	Loss 4.9030 (5.0150)	Prec@1 4.297 (4.638)	Prec@5 15.234 (15.980)
Epoch: [23][1800/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 4.9470 (5.0147)	Prec@1 1.953 (4.643)	Prec@5 15.625 (15.992)
Epoch: [23][1810/7045]	Time 0.509 (0.248)	Data 0.450 (0.183)	Loss 4.9974 (5.0149)	Prec@1 5.469 (4.644)	Prec@5 16.797 (15.987)
Epoch: [23][1820/7045]	Time 0.123 (0.248)	Data 0.071 (0.183)	Loss 5.0298 (5.0147)	Prec@1 2.734 (4.641)	Prec@5 14.062 (15.986)
Epoch: [23][1830/7045]	Time 0.509 (0.248)	Data 0.457 (0.183)	Loss 5.0452 (5.0149)	Prec@1 7.031 (4.646)	Prec@5 15.234 (15.986)
Epoch: [23][1840/7045]	Time 0.107 (0.248)	Data 0.055 (0.183)	Loss 5.0244 (5.0150)	Prec@1 5.859 (4.645)	Prec@5 14.844 (15.980)
Epoch: [23][1850/7045]	Time 0.245 (0.248)	Data 0.194 (0.183)	Loss 5.0663 (5.0150)	Prec@1 4.297 (4.647)	Prec@5 12.500 (15.979)
Epoch: [23][1860/7045]	Time 0.100 (0.248)	Data 0.002 (0.183)	Loss 5.0309 (5.0153)	Prec@1 4.688 (4.643)	Prec@5 16.797 (15.971)
Epoch: [23][1870/7045]	Time 0.101 (0.248)	Data 0.048 (0.183)	Loss 5.1138 (5.0153)	Prec@1 5.469 (4.642)	Prec@5 14.844 (15.973)
Epoch: [23][1880/7045]	Time 0.101 (0.248)	Data 0.001 (0.183)	Loss 4.8856 (5.0154)	Prec@1 3.516 (4.644)	Prec@5 17.969 (15.971)
Epoch: [23][1890/7045]	Time 0.485 (0.248)	Data 0.429 (0.183)	Loss 4.9599 (5.0153)	Prec@1 5.078 (4.645)	Prec@5 19.141 (15.977)
Epoch: [23][1900/7045]	Time 0.194 (0.248)	Data 0.142 (0.183)	Loss 4.8661 (5.0152)	Prec@1 3.516 (4.647)	Prec@5 21.094 (15.983)
Epoch: [23][1910/7045]	Time 0.482 (0.248)	Data 0.425 (0.183)	Loss 5.2421 (5.0150)	Prec@1 3.906 (4.648)	Prec@5 12.109 (15.986)
Epoch: [23][1920/7045]	Time 0.326 (0.248)	Data 0.268 (0.183)	Loss 4.9263 (5.0146)	Prec@1 6.641 (4.655)	Prec@5 18.359 (15.995)
Epoch: [23][1930/7045]	Time 0.223 (0.248)	Data 0.173 (0.183)	Loss 4.9927 (5.0145)	Prec@1 5.469 (4.654)	Prec@5 13.281 (15.997)
Epoch: [23][1940/7045]	Time 0.313 (0.248)	Data 0.262 (0.183)	Loss 5.1164 (5.0147)	Prec@1 4.297 (4.651)	Prec@5 16.016 (15.993)
Epoch: [23][1950/7045]	Time 0.245 (0.248)	Data 0.194 (0.183)	Loss 4.9317 (5.0148)	Prec@1 4.297 (4.649)	Prec@5 13.672 (15.990)
Epoch: [23][1960/7045]	Time 0.169 (0.248)	Data 0.119 (0.183)	Loss 5.0296 (5.0147)	Prec@1 4.297 (4.648)	Prec@5 11.719 (15.984)
Epoch: [23][1970/7045]	Time 0.188 (0.248)	Data 0.137 (0.183)	Loss 4.9872 (5.0148)	Prec@1 5.469 (4.649)	Prec@5 16.016 (15.982)
Epoch: [23][1980/7045]	Time 0.653 (0.248)	Data 0.593 (0.183)	Loss 5.0653 (5.0147)	Prec@1 4.688 (4.648)	Prec@5 16.016 (15.980)
Epoch: [23][1990/7045]	Time 0.189 (0.248)	Data 0.138 (0.183)	Loss 5.0679 (5.0150)	Prec@1 5.469 (4.649)	Prec@5 13.281 (15.974)
Epoch: [23][2000/7045]	Time 0.294 (0.248)	Data 0.243 (0.183)	Loss 5.0446 (5.0152)	Prec@1 2.734 (4.647)	Prec@5 14.844 (15.967)
Epoch: [23][2010/7045]	Time 0.106 (0.248)	Data 0.008 (0.183)	Loss 5.0060 (5.0151)	Prec@1 5.078 (4.645)	Prec@5 20.312 (15.970)
Epoch: [23][2020/7045]	Time 0.132 (0.248)	Data 0.081 (0.183)	Loss 4.9080 (5.0149)	Prec@1 3.125 (4.644)	Prec@5 17.578 (15.972)
Epoch: [23][2030/7045]	Time 0.214 (0.248)	Data 0.150 (0.183)	Loss 5.0159 (5.0146)	Prec@1 4.688 (4.645)	Prec@5 16.406 (15.982)
Epoch: [23][2040/7045]	Time 0.102 (0.248)	Data 0.002 (0.183)	Loss 5.2555 (5.0148)	Prec@1 2.344 (4.644)	Prec@5 11.719 (15.980)
Epoch: [23][2050/7045]	Time 0.103 (0.248)	Data 0.005 (0.183)	Loss 5.0634 (5.0150)	Prec@1 3.516 (4.642)	Prec@5 13.672 (15.974)
Epoch: [23][2060/7045]	Time 0.103 (0.248)	Data 0.003 (0.183)	Loss 5.0030 (5.0150)	Prec@1 5.469 (4.641)	Prec@5 16.406 (15.975)
Epoch: [23][2070/7045]	Time 0.108 (0.248)	Data 0.004 (0.183)	Loss 5.1299 (5.0153)	Prec@1 4.297 (4.639)	Prec@5 16.016 (15.970)
Epoch: [23][2080/7045]	Time 0.431 (0.248)	Data 0.381 (0.183)	Loss 4.9693 (5.0152)	Prec@1 7.422 (4.642)	Prec@5 16.797 (15.970)
Epoch: [23][2090/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 5.1057 (5.0149)	Prec@1 3.516 (4.643)	Prec@5 11.719 (15.970)
Epoch: [23][2100/7045]	Time 0.613 (0.248)	Data 0.562 (0.183)	Loss 4.8347 (5.0147)	Prec@1 4.297 (4.644)	Prec@5 16.797 (15.977)
Epoch: [23][2110/7045]	Time 0.107 (0.248)	Data 0.056 (0.182)	Loss 4.9462 (5.0143)	Prec@1 4.688 (4.647)	Prec@5 18.750 (15.985)
Epoch: [23][2120/7045]	Time 0.333 (0.248)	Data 0.281 (0.183)	Loss 5.0720 (5.0143)	Prec@1 4.297 (4.646)	Prec@5 17.578 (15.990)
Epoch: [23][2130/7045]	Time 0.102 (0.247)	Data 0.001 (0.182)	Loss 5.0558 (5.0143)	Prec@1 5.469 (4.649)	Prec@5 15.234 (15.990)
Epoch: [23][2140/7045]	Time 0.101 (0.248)	Data 0.050 (0.182)	Loss 5.1404 (5.0143)	Prec@1 3.125 (4.652)	Prec@5 10.938 (15.990)
Epoch: [23][2150/7045]	Time 0.101 (0.247)	Data 0.001 (0.182)	Loss 5.0859 (5.0147)	Prec@1 3.906 (4.648)	Prec@5 15.234 (15.979)
Epoch: [23][2160/7045]	Time 0.107 (0.248)	Data 0.004 (0.182)	Loss 5.0977 (5.0148)	Prec@1 5.078 (4.649)	Prec@5 14.453 (15.977)
Epoch: [23][2170/7045]	Time 0.377 (0.247)	Data 0.326 (0.182)	Loss 4.8578 (5.0146)	Prec@1 5.469 (4.652)	Prec@5 18.750 (15.979)
Epoch: [23][2180/7045]	Time 0.105 (0.247)	Data 0.006 (0.182)	Loss 5.0804 (5.0145)	Prec@1 4.297 (4.653)	Prec@5 13.281 (15.980)
Epoch: [23][2190/7045]	Time 0.606 (0.247)	Data 0.554 (0.182)	Loss 4.9917 (5.0144)	Prec@1 3.125 (4.655)	Prec@5 16.406 (15.982)
Epoch: [23][2200/7045]	Time 0.264 (0.247)	Data 0.204 (0.182)	Loss 4.9554 (5.0145)	Prec@1 5.859 (4.655)	Prec@5 17.188 (15.979)
Epoch: [23][2210/7045]	Time 0.414 (0.247)	Data 0.363 (0.182)	Loss 4.9484 (5.0145)	Prec@1 7.031 (4.656)	Prec@5 18.750 (15.981)
Epoch: [23][2220/7045]	Time 0.174 (0.247)	Data 0.124 (0.182)	Loss 4.8602 (5.0143)	Prec@1 6.641 (4.659)	Prec@5 20.703 (15.983)
Epoch: [23][2230/7045]	Time 0.321 (0.247)	Data 0.270 (0.182)	Loss 5.0694 (5.0142)	Prec@1 2.734 (4.658)	Prec@5 14.844 (15.982)
Epoch: [23][2240/7045]	Time 0.239 (0.247)	Data 0.187 (0.182)	Loss 4.9295 (5.0139)	Prec@1 5.078 (4.659)	Prec@5 16.406 (15.984)
Epoch: [23][2250/7045]	Time 0.110 (0.247)	Data 0.059 (0.182)	Loss 4.9593 (5.0138)	Prec@1 6.250 (4.662)	Prec@5 16.797 (15.987)
Epoch: [23][2260/7045]	Time 0.467 (0.247)	Data 0.416 (0.182)	Loss 5.0113 (5.0138)	Prec@1 1.953 (4.662)	Prec@5 18.750 (15.993)
Epoch: [23][2270/7045]	Time 0.252 (0.247)	Data 0.193 (0.182)	Loss 4.8849 (5.0134)	Prec@1 6.250 (4.663)	Prec@5 18.750 (15.997)
Epoch: [23][2280/7045]	Time 0.109 (0.247)	Data 0.056 (0.182)	Loss 5.0268 (5.0133)	Prec@1 3.516 (4.660)	Prec@5 12.500 (15.996)
Epoch: [23][2290/7045]	Time 0.447 (0.247)	Data 0.397 (0.182)	Loss 4.8726 (5.0130)	Prec@1 7.031 (4.663)	Prec@5 20.703 (15.998)
Epoch: [23][2300/7045]	Time 0.102 (0.247)	Data 0.001 (0.182)	Loss 5.0071 (5.0126)	Prec@1 5.859 (4.669)	Prec@5 17.578 (16.009)
Epoch: [23][2310/7045]	Time 0.282 (0.247)	Data 0.232 (0.182)	Loss 5.0534 (5.0126)	Prec@1 6.250 (4.668)	Prec@5 12.891 (16.007)
Epoch: [23][2320/7045]	Time 0.102 (0.247)	Data 0.005 (0.182)	Loss 4.9172 (5.0129)	Prec@1 5.078 (4.667)	Prec@5 19.141 (16.007)
Epoch: [23][2330/7045]	Time 0.102 (0.247)	Data 0.001 (0.182)	Loss 4.9857 (5.0130)	Prec@1 1.562 (4.667)	Prec@5 17.578 (16.005)
Epoch: [23][2340/7045]	Time 0.102 (0.247)	Data 0.001 (0.182)	Loss 5.0567 (5.0130)	Prec@1 4.297 (4.669)	Prec@5 10.938 (16.008)
Epoch: [23][2350/7045]	Time 0.337 (0.247)	Data 0.279 (0.182)	Loss 4.9028 (5.0129)	Prec@1 2.734 (4.666)	Prec@5 19.531 (16.008)
Epoch: [23][2360/7045]	Time 0.183 (0.247)	Data 0.131 (0.182)	Loss 4.9582 (5.0129)	Prec@1 5.859 (4.666)	Prec@5 19.141 (16.007)
Epoch: [23][2370/7045]	Time 0.348 (0.247)	Data 0.291 (0.182)	Loss 5.0341 (5.0126)	Prec@1 3.125 (4.668)	Prec@5 10.156 (16.012)
Epoch: [23][2380/7045]	Time 0.525 (0.247)	Data 0.474 (0.182)	Loss 4.9508 (5.0124)	Prec@1 5.078 (4.670)	Prec@5 15.234 (16.012)
Epoch: [23][2390/7045]	Time 0.102 (0.247)	Data 0.020 (0.182)	Loss 5.0059 (5.0125)	Prec@1 4.297 (4.668)	Prec@5 14.062 (16.007)
Epoch: [23][2400/7045]	Time 0.303 (0.247)	Data 0.251 (0.182)	Loss 5.1506 (5.0124)	Prec@1 5.469 (4.670)	Prec@5 14.453 (16.012)
Epoch: [23][2410/7045]	Time 0.212 (0.247)	Data 0.161 (0.182)	Loss 5.0252 (5.0122)	Prec@1 1.953 (4.669)	Prec@5 16.797 (16.018)
Epoch: [23][2420/7045]	Time 0.128 (0.247)	Data 0.077 (0.182)	Loss 5.0651 (5.0120)	Prec@1 5.469 (4.672)	Prec@5 16.016 (16.020)
Epoch: [23][2430/7045]	Time 0.429 (0.247)	Data 0.370 (0.182)	Loss 4.9731 (5.0118)	Prec@1 3.516 (4.674)	Prec@5 16.797 (16.028)
Epoch: [23][2440/7045]	Time 0.101 (0.247)	Data 0.014 (0.182)	Loss 4.9844 (5.0118)	Prec@1 4.297 (4.676)	Prec@5 16.016 (16.031)
Epoch: [23][2450/7045]	Time 0.453 (0.247)	Data 0.401 (0.182)	Loss 4.8960 (5.0117)	Prec@1 4.688 (4.677)	Prec@5 19.531 (16.036)
Epoch: [23][2460/7045]	Time 0.214 (0.247)	Data 0.163 (0.182)	Loss 5.0385 (5.0116)	Prec@1 4.297 (4.677)	Prec@5 11.719 (16.034)
Epoch: [23][2470/7045]	Time 0.474 (0.247)	Data 0.423 (0.182)	Loss 4.9770 (5.0113)	Prec@1 5.469 (4.679)	Prec@5 19.141 (16.035)
Epoch: [23][2480/7045]	Time 0.343 (0.247)	Data 0.293 (0.182)	Loss 5.1049 (5.0116)	Prec@1 2.734 (4.675)	Prec@5 15.234 (16.032)
Epoch: [23][2490/7045]	Time 0.251 (0.247)	Data 0.198 (0.182)	Loss 5.0645 (5.0119)	Prec@1 3.125 (4.673)	Prec@5 14.844 (16.027)
Epoch: [23][2500/7045]	Time 0.103 (0.247)	Data 0.048 (0.182)	Loss 5.0481 (5.0121)	Prec@1 3.125 (4.676)	Prec@5 20.312 (16.032)
Epoch: [23][2510/7045]	Time 0.186 (0.247)	Data 0.135 (0.182)	Loss 4.8969 (5.0121)	Prec@1 5.469 (4.678)	Prec@5 19.141 (16.031)
Epoch: [23][2520/7045]	Time 0.320 (0.247)	Data 0.269 (0.182)	Loss 4.7499 (5.0119)	Prec@1 7.812 (4.681)	Prec@5 21.484 (16.032)
Epoch: [23][2530/7045]	Time 0.101 (0.247)	Data 0.001 (0.182)	Loss 5.0964 (5.0118)	Prec@1 5.078 (4.683)	Prec@5 16.406 (16.034)
Epoch: [23][2540/7045]	Time 0.510 (0.247)	Data 0.458 (0.182)	Loss 4.9589 (5.0119)	Prec@1 5.859 (4.682)	Prec@5 15.625 (16.033)
Epoch: [23][2550/7045]	Time 0.101 (0.247)	Data 0.049 (0.182)	Loss 5.0579 (5.0118)	Prec@1 7.031 (4.682)	Prec@5 18.359 (16.036)
Epoch: [23][2560/7045]	Time 0.459 (0.247)	Data 0.408 (0.182)	Loss 4.9433 (5.0115)	Prec@1 6.641 (4.686)	Prec@5 19.531 (16.041)
Epoch: [23][2570/7045]	Time 0.101 (0.247)	Data 0.001 (0.182)	Loss 5.0549 (5.0114)	Prec@1 6.641 (4.689)	Prec@5 16.406 (16.044)
Epoch: [23][2580/7045]	Time 0.258 (0.247)	Data 0.208 (0.182)	Loss 4.9281 (5.0112)	Prec@1 6.641 (4.691)	Prec@5 18.359 (16.045)
Epoch: [23][2590/7045]	Time 0.601 (0.247)	Data 0.550 (0.182)	Loss 5.0306 (5.0110)	Prec@1 4.688 (4.693)	Prec@5 12.500 (16.050)
Epoch: [23][2600/7045]	Time 0.099 (0.247)	Data 0.001 (0.182)	Loss 4.7715 (5.0107)	Prec@1 6.641 (4.695)	Prec@5 20.312 (16.054)
Epoch: [23][2610/7045]	Time 0.564 (0.247)	Data 0.513 (0.182)	Loss 4.7736 (5.0105)	Prec@1 5.469 (4.697)	Prec@5 19.531 (16.057)
Epoch: [23][2620/7045]	Time 0.102 (0.247)	Data 0.001 (0.182)	Loss 4.9200 (5.0105)	Prec@1 7.031 (4.696)	Prec@5 16.797 (16.054)
Epoch: [23][2630/7045]	Time 0.438 (0.247)	Data 0.387 (0.182)	Loss 4.9722 (5.0105)	Prec@1 5.078 (4.695)	Prec@5 17.188 (16.055)
Epoch: [23][2640/7045]	Time 0.101 (0.247)	Data 0.008 (0.182)	Loss 5.0292 (5.0105)	Prec@1 5.078 (4.695)	Prec@5 11.719 (16.053)
Epoch: [23][2650/7045]	Time 0.209 (0.247)	Data 0.157 (0.182)	Loss 5.0093 (5.0106)	Prec@1 6.250 (4.696)	Prec@5 16.797 (16.053)
Epoch: [23][2660/7045]	Time 0.101 (0.247)	Data 0.003 (0.182)	Loss 5.1532 (5.0108)	Prec@1 5.078 (4.696)	Prec@5 15.234 (16.049)
Epoch: [23][2670/7045]	Time 0.104 (0.247)	Data 0.052 (0.182)	Loss 5.1398 (5.0109)	Prec@1 4.688 (4.696)	Prec@5 12.891 (16.047)
Epoch: [23][2680/7045]	Time 0.101 (0.247)	Data 0.001 (0.182)	Loss 5.0452 (5.0111)	Prec@1 4.297 (4.694)	Prec@5 16.406 (16.045)
Epoch: [23][2690/7045]	Time 0.102 (0.247)	Data 0.006 (0.182)	Loss 4.9369 (5.0112)	Prec@1 5.859 (4.692)	Prec@5 17.578 (16.038)
Epoch: [23][2700/7045]	Time 0.329 (0.247)	Data 0.279 (0.182)	Loss 4.9833 (5.0114)	Prec@1 3.906 (4.690)	Prec@5 17.188 (16.037)
Epoch: [23][2710/7045]	Time 0.102 (0.247)	Data 0.005 (0.182)	Loss 5.1157 (5.0117)	Prec@1 2.734 (4.690)	Prec@5 9.766 (16.028)
Epoch: [23][2720/7045]	Time 0.251 (0.247)	Data 0.200 (0.182)	Loss 4.9431 (5.0118)	Prec@1 5.078 (4.687)	Prec@5 17.578 (16.024)
Epoch: [23][2730/7045]	Time 0.169 (0.247)	Data 0.118 (0.182)	Loss 4.9179 (5.0117)	Prec@1 5.469 (4.688)	Prec@5 18.750 (16.025)
Epoch: [23][2740/7045]	Time 0.101 (0.247)	Data 0.045 (0.182)	Loss 5.0412 (5.0115)	Prec@1 4.297 (4.688)	Prec@5 16.797 (16.031)
Epoch: [23][2750/7045]	Time 0.101 (0.247)	Data 0.001 (0.182)	Loss 4.9872 (5.0117)	Prec@1 5.078 (4.686)	Prec@5 17.578 (16.030)
Epoch: [23][2760/7045]	Time 0.362 (0.247)	Data 0.311 (0.182)	Loss 5.0037 (5.0118)	Prec@1 7.031 (4.686)	Prec@5 17.578 (16.027)
Epoch: [23][2770/7045]	Time 0.101 (0.247)	Data 0.001 (0.182)	Loss 4.9766 (5.0117)	Prec@1 3.125 (4.686)	Prec@5 16.016 (16.028)
Epoch: [23][2780/7045]	Time 0.201 (0.247)	Data 0.150 (0.182)	Loss 5.0894 (5.0118)	Prec@1 4.297 (4.686)	Prec@5 14.062 (16.027)
Epoch: [23][2790/7045]	Time 0.099 (0.247)	Data 0.043 (0.182)	Loss 5.1503 (5.0118)	Prec@1 4.297 (4.686)	Prec@5 14.062 (16.025)
Epoch: [23][2800/7045]	Time 0.101 (0.247)	Data 0.005 (0.182)	Loss 4.9998 (5.0118)	Prec@1 5.469 (4.686)	Prec@5 16.406 (16.023)
Epoch: [23][2810/7045]	Time 0.174 (0.247)	Data 0.123 (0.182)	Loss 4.9211 (5.0118)	Prec@1 5.078 (4.687)	Prec@5 17.578 (16.022)
Epoch: [23][2820/7045]	Time 0.429 (0.247)	Data 0.371 (0.182)	Loss 5.0290 (5.0119)	Prec@1 3.906 (4.685)	Prec@5 15.625 (16.019)
Epoch: [23][2830/7045]	Time 0.218 (0.247)	Data 0.168 (0.182)	Loss 5.0690 (5.0120)	Prec@1 3.906 (4.686)	Prec@5 16.406 (16.017)
Epoch: [23][2840/7045]	Time 0.146 (0.247)	Data 0.096 (0.182)	Loss 5.0644 (5.0120)	Prec@1 2.734 (4.686)	Prec@5 14.453 (16.019)
Epoch: [23][2850/7045]	Time 0.155 (0.247)	Data 0.093 (0.182)	Loss 4.9783 (5.0121)	Prec@1 2.734 (4.685)	Prec@5 13.281 (16.020)
Epoch: [23][2860/7045]	Time 0.320 (0.247)	Data 0.269 (0.182)	Loss 5.0161 (5.0120)	Prec@1 3.125 (4.686)	Prec@5 16.797 (16.021)
Epoch: [23][2870/7045]	Time 0.471 (0.247)	Data 0.419 (0.182)	Loss 5.2056 (5.0120)	Prec@1 3.906 (4.686)	Prec@5 13.281 (16.021)
Epoch: [23][2880/7045]	Time 0.108 (0.247)	Data 0.001 (0.182)	Loss 5.1372 (5.0120)	Prec@1 4.297 (4.686)	Prec@5 13.281 (16.021)
Epoch: [23][2890/7045]	Time 0.291 (0.247)	Data 0.234 (0.182)	Loss 5.0683 (5.0121)	Prec@1 3.516 (4.686)	Prec@5 12.500 (16.015)
Epoch: [23][2900/7045]	Time 0.410 (0.247)	Data 0.360 (0.182)	Loss 4.9730 (5.0120)	Prec@1 5.469 (4.689)	Prec@5 15.625 (16.018)
Epoch: [23][2910/7045]	Time 0.108 (0.247)	Data 0.055 (0.182)	Loss 5.0623 (5.0120)	Prec@1 3.906 (4.687)	Prec@5 16.016 (16.018)
Epoch: [23][2920/7045]	Time 0.376 (0.247)	Data 0.325 (0.182)	Loss 5.1150 (5.0122)	Prec@1 4.688 (4.684)	Prec@5 16.406 (16.017)
Epoch: [23][2930/7045]	Time 0.124 (0.247)	Data 0.072 (0.182)	Loss 4.8781 (5.0120)	Prec@1 7.812 (4.687)	Prec@5 19.922 (16.023)
Epoch: [23][2940/7045]	Time 0.425 (0.247)	Data 0.374 (0.182)	Loss 4.9517 (5.0120)	Prec@1 4.297 (4.689)	Prec@5 16.797 (16.022)
Epoch: [23][2950/7045]	Time 0.541 (0.247)	Data 0.491 (0.182)	Loss 4.9357 (5.0117)	Prec@1 4.688 (4.690)	Prec@5 20.703 (16.030)
Epoch: [23][2960/7045]	Time 0.108 (0.247)	Data 0.008 (0.182)	Loss 4.8010 (5.0114)	Prec@1 6.641 (4.692)	Prec@5 23.828 (16.035)
Epoch: [23][2970/7045]	Time 0.681 (0.247)	Data 0.630 (0.182)	Loss 4.9413 (5.0115)	Prec@1 4.688 (4.692)	Prec@5 14.062 (16.034)
Epoch: [23][2980/7045]	Time 0.124 (0.247)	Data 0.074 (0.182)	Loss 4.9616 (5.0113)	Prec@1 3.125 (4.690)	Prec@5 17.578 (16.034)
Epoch: [23][2990/7045]	Time 0.364 (0.247)	Data 0.312 (0.182)	Loss 4.9020 (5.0114)	Prec@1 5.859 (4.690)	Prec@5 19.531 (16.034)
Epoch: [23][3000/7045]	Time 0.128 (0.247)	Data 0.078 (0.182)	Loss 5.1672 (5.0115)	Prec@1 3.125 (4.689)	Prec@5 13.281 (16.035)
Epoch: [23][3010/7045]	Time 0.108 (0.247)	Data 0.001 (0.182)	Loss 5.0411 (5.0115)	Prec@1 4.297 (4.690)	Prec@5 12.891 (16.033)
Epoch: [23][3020/7045]	Time 0.289 (0.247)	Data 0.238 (0.182)	Loss 5.0212 (5.0117)	Prec@1 7.031 (4.690)	Prec@5 16.797 (16.029)
Epoch: [23][3030/7045]	Time 0.411 (0.247)	Data 0.360 (0.182)	Loss 4.9931 (5.0118)	Prec@1 4.297 (4.688)	Prec@5 18.359 (16.029)
Epoch: [23][3040/7045]	Time 0.341 (0.247)	Data 0.291 (0.182)	Loss 4.8727 (5.0116)	Prec@1 4.297 (4.689)	Prec@5 19.531 (16.033)
Epoch: [23][3050/7045]	Time 0.299 (0.247)	Data 0.248 (0.182)	Loss 5.0144 (5.0119)	Prec@1 3.906 (4.685)	Prec@5 18.359 (16.030)
Epoch: [23][3060/7045]	Time 0.149 (0.247)	Data 0.092 (0.182)	Loss 4.9978 (5.0119)	Prec@1 5.469 (4.685)	Prec@5 16.406 (16.029)
Epoch: [23][3070/7045]	Time 0.112 (0.247)	Data 0.060 (0.182)	Loss 5.0105 (5.0119)	Prec@1 4.688 (4.685)	Prec@5 16.016 (16.028)
Epoch: [23][3080/7045]	Time 0.166 (0.247)	Data 0.115 (0.182)	Loss 4.9794 (5.0119)	Prec@1 3.906 (4.684)	Prec@5 15.234 (16.029)
Epoch: [23][3090/7045]	Time 0.103 (0.247)	Data 0.001 (0.182)	Loss 5.0978 (5.0119)	Prec@1 3.906 (4.683)	Prec@5 14.844 (16.026)
Epoch: [23][3100/7045]	Time 0.133 (0.247)	Data 0.081 (0.182)	Loss 5.0469 (5.0120)	Prec@1 5.078 (4.682)	Prec@5 14.453 (16.020)
Epoch: [23][3110/7045]	Time 0.258 (0.247)	Data 0.207 (0.182)	Loss 4.9749 (5.0120)	Prec@1 4.297 (4.681)	Prec@5 14.453 (16.018)
Epoch: [23][3120/7045]	Time 0.107 (0.247)	Data 0.055 (0.182)	Loss 4.9057 (5.0121)	Prec@1 7.031 (4.680)	Prec@5 17.969 (16.012)
Epoch: [23][3130/7045]	Time 0.456 (0.247)	Data 0.401 (0.182)	Loss 5.0213 (5.0121)	Prec@1 4.297 (4.680)	Prec@5 19.141 (16.012)
Epoch: [23][3140/7045]	Time 0.338 (0.247)	Data 0.288 (0.182)	Loss 4.9820 (5.0119)	Prec@1 4.297 (4.680)	Prec@5 17.578 (16.015)
Epoch: [23][3150/7045]	Time 0.388 (0.247)	Data 0.337 (0.182)	Loss 5.0487 (5.0117)	Prec@1 5.078 (4.678)	Prec@5 14.453 (16.017)
Epoch: [23][3160/7045]	Time 0.119 (0.247)	Data 0.057 (0.182)	Loss 4.9299 (5.0116)	Prec@1 5.078 (4.680)	Prec@5 16.016 (16.019)
Epoch: [23][3170/7045]	Time 0.242 (0.247)	Data 0.192 (0.182)	Loss 4.8375 (5.0113)	Prec@1 4.688 (4.682)	Prec@5 17.969 (16.025)
Epoch: [23][3180/7045]	Time 0.284 (0.247)	Data 0.232 (0.183)	Loss 5.0209 (5.0113)	Prec@1 2.344 (4.682)	Prec@5 14.453 (16.025)
Epoch: [23][3190/7045]	Time 0.167 (0.247)	Data 0.116 (0.182)	Loss 4.9253 (5.0111)	Prec@1 5.859 (4.682)	Prec@5 19.531 (16.029)
Epoch: [23][3200/7045]	Time 0.336 (0.247)	Data 0.285 (0.183)	Loss 4.9302 (5.0110)	Prec@1 6.641 (4.683)	Prec@5 19.531 (16.033)
Epoch: [23][3210/7045]	Time 0.110 (0.247)	Data 0.001 (0.183)	Loss 5.0833 (5.0112)	Prec@1 3.906 (4.682)	Prec@5 11.719 (16.029)
Epoch: [23][3220/7045]	Time 0.410 (0.247)	Data 0.358 (0.183)	Loss 5.0227 (5.0114)	Prec@1 5.859 (4.680)	Prec@5 17.188 (16.027)
Epoch: [23][3230/7045]	Time 0.114 (0.247)	Data 0.063 (0.183)	Loss 5.0075 (5.0114)	Prec@1 5.078 (4.680)	Prec@5 16.016 (16.026)
Epoch: [23][3240/7045]	Time 0.101 (0.247)	Data 0.046 (0.183)	Loss 4.9215 (5.0114)	Prec@1 3.906 (4.679)	Prec@5 17.188 (16.027)
Epoch: [23][3250/7045]	Time 0.480 (0.247)	Data 0.428 (0.183)	Loss 5.0340 (5.0113)	Prec@1 4.297 (4.679)	Prec@5 13.672 (16.027)
Epoch: [23][3260/7045]	Time 0.109 (0.247)	Data 0.001 (0.183)	Loss 4.9402 (5.0113)	Prec@1 4.688 (4.678)	Prec@5 19.141 (16.028)
Epoch: [23][3270/7045]	Time 0.529 (0.247)	Data 0.478 (0.183)	Loss 5.0865 (5.0113)	Prec@1 5.078 (4.679)	Prec@5 12.500 (16.030)
Epoch: [23][3280/7045]	Time 0.114 (0.247)	Data 0.052 (0.183)	Loss 5.0560 (5.0115)	Prec@1 4.688 (4.678)	Prec@5 13.672 (16.027)
Epoch: [23][3290/7045]	Time 0.435 (0.247)	Data 0.384 (0.183)	Loss 5.0757 (5.0118)	Prec@1 4.297 (4.675)	Prec@5 15.234 (16.022)
Epoch: [23][3300/7045]	Time 0.498 (0.247)	Data 0.448 (0.183)	Loss 5.0712 (5.0119)	Prec@1 5.078 (4.672)	Prec@5 14.453 (16.018)
Epoch: [23][3310/7045]	Time 0.141 (0.247)	Data 0.090 (0.183)	Loss 5.0596 (5.0120)	Prec@1 5.859 (4.673)	Prec@5 16.016 (16.017)
Epoch: [23][3320/7045]	Time 0.741 (0.247)	Data 0.689 (0.183)	Loss 4.8387 (5.0118)	Prec@1 8.203 (4.677)	Prec@5 19.141 (16.019)
Epoch: [23][3330/7045]	Time 0.101 (0.247)	Data 0.001 (0.182)	Loss 4.9154 (5.0118)	Prec@1 6.641 (4.677)	Prec@5 15.625 (16.020)
Epoch: [23][3340/7045]	Time 0.564 (0.247)	Data 0.514 (0.182)	Loss 5.0663 (5.0118)	Prec@1 3.516 (4.678)	Prec@5 15.625 (16.021)
Epoch: [23][3350/7045]	Time 0.103 (0.246)	Data 0.052 (0.182)	Loss 5.2095 (5.0119)	Prec@1 3.125 (4.678)	Prec@5 15.625 (16.019)
Epoch: [23][3360/7045]	Time 0.494 (0.247)	Data 0.443 (0.182)	Loss 4.9764 (5.0120)	Prec@1 4.297 (4.677)	Prec@5 15.234 (16.019)
Epoch: [23][3370/7045]	Time 0.162 (0.247)	Data 0.112 (0.182)	Loss 4.9258 (5.0121)	Prec@1 7.812 (4.679)	Prec@5 19.141 (16.021)
Epoch: [23][3380/7045]	Time 0.146 (0.247)	Data 0.097 (0.182)	Loss 5.1177 (5.0123)	Prec@1 1.562 (4.677)	Prec@5 13.672 (16.021)
Epoch: [23][3390/7045]	Time 0.528 (0.247)	Data 0.478 (0.183)	Loss 5.1459 (5.0123)	Prec@1 3.516 (4.677)	Prec@5 14.062 (16.020)
Epoch: [23][3400/7045]	Time 0.100 (0.247)	Data 0.048 (0.182)	Loss 5.0338 (5.0124)	Prec@1 4.297 (4.675)	Prec@5 16.406 (16.020)
Epoch: [23][3410/7045]	Time 0.502 (0.247)	Data 0.451 (0.183)	Loss 5.0712 (5.0125)	Prec@1 5.859 (4.675)	Prec@5 15.234 (16.019)
Epoch: [23][3420/7045]	Time 0.102 (0.247)	Data 0.004 (0.182)	Loss 5.0518 (5.0124)	Prec@1 3.906 (4.675)	Prec@5 16.797 (16.024)
Epoch: [23][3430/7045]	Time 0.102 (0.247)	Data 0.006 (0.182)	Loss 5.0281 (5.0125)	Prec@1 5.469 (4.676)	Prec@5 16.406 (16.022)
Epoch: [23][3440/7045]	Time 0.183 (0.247)	Data 0.133 (0.182)	Loss 4.9245 (5.0126)	Prec@1 7.812 (4.677)	Prec@5 19.531 (16.020)
Epoch: [23][3450/7045]	Time 0.250 (0.247)	Data 0.199 (0.183)	Loss 5.1529 (5.0128)	Prec@1 2.734 (4.675)	Prec@5 12.891 (16.018)
Epoch: [23][3460/7045]	Time 0.101 (0.247)	Data 0.007 (0.182)	Loss 5.1416 (5.0131)	Prec@1 3.516 (4.674)	Prec@5 15.234 (16.015)
Epoch: [23][3470/7045]	Time 0.283 (0.247)	Data 0.231 (0.183)	Loss 5.0304 (5.0132)	Prec@1 3.516 (4.673)	Prec@5 14.453 (16.012)
Epoch: [23][3480/7045]	Time 0.185 (0.247)	Data 0.127 (0.183)	Loss 5.0959 (5.0134)	Prec@1 5.469 (4.671)	Prec@5 18.359 (16.011)
Epoch: [23][3490/7045]	Time 0.142 (0.247)	Data 0.090 (0.183)	Loss 5.0065 (5.0135)	Prec@1 3.516 (4.670)	Prec@5 16.016 (16.009)
Epoch: [23][3500/7045]	Time 0.102 (0.247)	Data 0.046 (0.183)	Loss 4.9193 (5.0135)	Prec@1 7.812 (4.671)	Prec@5 19.531 (16.008)
Epoch: [23][3510/7045]	Time 0.258 (0.247)	Data 0.207 (0.183)	Loss 4.9731 (5.0135)	Prec@1 6.250 (4.671)	Prec@5 16.797 (16.010)
Epoch: [23][3520/7045]	Time 0.383 (0.247)	Data 0.333 (0.183)	Loss 4.9070 (5.0133)	Prec@1 4.688 (4.672)	Prec@5 17.188 (16.013)
Epoch: [23][3530/7045]	Time 0.230 (0.247)	Data 0.180 (0.183)	Loss 5.0430 (5.0134)	Prec@1 3.516 (4.674)	Prec@5 14.062 (16.015)
Epoch: [23][3540/7045]	Time 0.115 (0.247)	Data 0.065 (0.183)	Loss 5.1307 (5.0133)	Prec@1 3.516 (4.675)	Prec@5 11.719 (16.015)
Epoch: [23][3550/7045]	Time 0.375 (0.247)	Data 0.316 (0.183)	Loss 4.9521 (5.0133)	Prec@1 5.859 (4.676)	Prec@5 19.531 (16.016)
Epoch: [23][3560/7045]	Time 0.121 (0.247)	Data 0.065 (0.183)	Loss 4.8545 (5.0132)	Prec@1 5.469 (4.677)	Prec@5 20.312 (16.019)
Epoch: [23][3570/7045]	Time 0.241 (0.247)	Data 0.191 (0.183)	Loss 4.8363 (5.0130)	Prec@1 6.641 (4.679)	Prec@5 17.969 (16.022)
Epoch: [23][3580/7045]	Time 0.455 (0.247)	Data 0.403 (0.183)	Loss 4.9981 (5.0130)	Prec@1 5.078 (4.681)	Prec@5 15.234 (16.025)
Epoch: [23][3590/7045]	Time 0.156 (0.247)	Data 0.105 (0.183)	Loss 5.0722 (5.0129)	Prec@1 4.297 (4.681)	Prec@5 16.016 (16.027)
Epoch: [23][3600/7045]	Time 0.566 (0.247)	Data 0.514 (0.183)	Loss 5.1386 (5.0130)	Prec@1 3.125 (4.680)	Prec@5 14.844 (16.025)
Epoch: [23][3610/7045]	Time 0.103 (0.247)	Data 0.004 (0.183)	Loss 4.9994 (5.0130)	Prec@1 4.297 (4.679)	Prec@5 13.672 (16.026)
Epoch: [23][3620/7045]	Time 0.549 (0.247)	Data 0.490 (0.183)	Loss 5.0253 (5.0130)	Prec@1 2.734 (4.679)	Prec@5 14.062 (16.025)
Epoch: [23][3630/7045]	Time 0.101 (0.247)	Data 0.046 (0.183)	Loss 5.0131 (5.0131)	Prec@1 3.906 (4.680)	Prec@5 13.672 (16.024)
Epoch: [23][3640/7045]	Time 0.369 (0.247)	Data 0.318 (0.183)	Loss 4.9961 (5.0133)	Prec@1 3.125 (4.678)	Prec@5 16.406 (16.022)
Epoch: [23][3650/7045]	Time 0.112 (0.247)	Data 0.061 (0.183)	Loss 4.9876 (5.0135)	Prec@1 5.859 (4.679)	Prec@5 16.797 (16.022)
Epoch: [23][3660/7045]	Time 0.109 (0.247)	Data 0.001 (0.183)	Loss 5.0490 (5.0135)	Prec@1 5.078 (4.678)	Prec@5 16.016 (16.018)
Epoch: [23][3670/7045]	Time 0.111 (0.247)	Data 0.060 (0.183)	Loss 5.0334 (5.0135)	Prec@1 3.906 (4.679)	Prec@5 16.797 (16.019)
Epoch: [23][3680/7045]	Time 0.101 (0.247)	Data 0.043 (0.183)	Loss 5.0313 (5.0133)	Prec@1 3.906 (4.680)	Prec@5 17.188 (16.024)
Epoch: [23][3690/7045]	Time 0.259 (0.247)	Data 0.208 (0.183)	Loss 5.0936 (5.0134)	Prec@1 4.688 (4.680)	Prec@5 15.625 (16.024)
Epoch: [23][3700/7045]	Time 0.101 (0.247)	Data 0.047 (0.183)	Loss 5.2035 (5.0134)	Prec@1 4.297 (4.680)	Prec@5 11.719 (16.023)
Epoch: [23][3710/7045]	Time 0.736 (0.247)	Data 0.677 (0.183)	Loss 4.9852 (5.0134)	Prec@1 5.078 (4.680)	Prec@5 16.406 (16.021)
Epoch: [23][3720/7045]	Time 0.257 (0.247)	Data 0.207 (0.183)	Loss 4.9800 (5.0134)	Prec@1 5.078 (4.680)	Prec@5 16.406 (16.022)
Epoch: [23][3730/7045]	Time 0.354 (0.247)	Data 0.297 (0.183)	Loss 5.0088 (5.0133)	Prec@1 5.078 (4.680)	Prec@5 16.406 (16.025)
Epoch: [23][3740/7045]	Time 0.125 (0.247)	Data 0.075 (0.183)	Loss 5.0531 (5.0133)	Prec@1 3.906 (4.680)	Prec@5 14.844 (16.025)
Epoch: [23][3750/7045]	Time 0.109 (0.247)	Data 0.005 (0.183)	Loss 4.9495 (5.0132)	Prec@1 1.953 (4.681)	Prec@5 14.844 (16.025)
Epoch: [23][3760/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 4.9734 (5.0131)	Prec@1 4.688 (4.683)	Prec@5 16.406 (16.032)
Epoch: [23][3770/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 4.8769 (5.0130)	Prec@1 5.859 (4.684)	Prec@5 15.234 (16.033)
Epoch: [23][3780/7045]	Time 0.199 (0.247)	Data 0.147 (0.183)	Loss 4.9432 (5.0129)	Prec@1 5.469 (4.684)	Prec@5 17.578 (16.035)
Epoch: [23][3790/7045]	Time 0.101 (0.247)	Data 0.001 (0.183)	Loss 5.0788 (5.0129)	Prec@1 3.125 (4.684)	Prec@5 14.062 (16.034)
Epoch: [23][3800/7045]	Time 0.270 (0.247)	Data 0.219 (0.183)	Loss 4.9277 (5.0129)	Prec@1 2.734 (4.686)	Prec@5 17.578 (16.037)
Epoch: [23][3810/7045]	Time 0.323 (0.247)	Data 0.272 (0.183)	Loss 4.9925 (5.0128)	Prec@1 6.250 (4.686)	Prec@5 14.844 (16.036)
Epoch: [23][3820/7045]	Time 0.123 (0.247)	Data 0.071 (0.183)	Loss 4.9592 (5.0127)	Prec@1 4.297 (4.686)	Prec@5 16.406 (16.036)
Epoch: [23][3830/7045]	Time 0.752 (0.247)	Data 0.699 (0.183)	Loss 4.9757 (5.0126)	Prec@1 5.859 (4.687)	Prec@5 18.359 (16.036)
Epoch: [23][3840/7045]	Time 0.102 (0.247)	Data 0.001 (0.182)	Loss 5.0280 (5.0126)	Prec@1 3.516 (4.685)	Prec@5 14.453 (16.035)
Epoch: [23][3850/7045]	Time 0.590 (0.247)	Data 0.535 (0.183)	Loss 5.0251 (5.0126)	Prec@1 4.297 (4.684)	Prec@5 12.109 (16.033)
Epoch: [23][3860/7045]	Time 0.100 (0.247)	Data 0.001 (0.182)	Loss 4.8768 (5.0125)	Prec@1 6.250 (4.685)	Prec@5 18.750 (16.036)
Epoch: [23][3870/7045]	Time 0.181 (0.247)	Data 0.129 (0.182)	Loss 5.1078 (5.0123)	Prec@1 4.297 (4.685)	Prec@5 11.328 (16.037)
Epoch: [23][3880/7045]	Time 0.195 (0.247)	Data 0.144 (0.182)	Loss 4.9761 (5.0125)	Prec@1 5.078 (4.684)	Prec@5 16.016 (16.035)
Epoch: [23][3890/7045]	Time 0.100 (0.247)	Data 0.049 (0.182)	Loss 5.1327 (5.0125)	Prec@1 3.906 (4.686)	Prec@5 10.547 (16.033)
Epoch: [23][3900/7045]	Time 0.565 (0.247)	Data 0.513 (0.182)	Loss 5.0359 (5.0124)	Prec@1 2.734 (4.684)	Prec@5 14.453 (16.035)
Epoch: [23][3910/7045]	Time 0.101 (0.247)	Data 0.001 (0.182)	Loss 4.8260 (5.0123)	Prec@1 6.250 (4.686)	Prec@5 17.188 (16.036)
Epoch: [23][3920/7045]	Time 0.602 (0.247)	Data 0.551 (0.182)	Loss 5.0656 (5.0122)	Prec@1 4.688 (4.688)	Prec@5 16.406 (16.039)
Epoch: [23][3930/7045]	Time 0.115 (0.247)	Data 0.064 (0.182)	Loss 4.9726 (5.0122)	Prec@1 3.125 (4.689)	Prec@5 14.062 (16.039)
Epoch: [23][3940/7045]	Time 0.500 (0.247)	Data 0.444 (0.182)	Loss 5.0624 (5.0123)	Prec@1 4.297 (4.690)	Prec@5 17.188 (16.039)
Epoch: [23][3950/7045]	Time 0.184 (0.247)	Data 0.133 (0.182)	Loss 5.0017 (5.0121)	Prec@1 4.297 (4.690)	Prec@5 14.062 (16.036)
Epoch: [23][3960/7045]	Time 0.101 (0.247)	Data 0.001 (0.182)	Loss 4.9965 (5.0120)	Prec@1 1.953 (4.690)	Prec@5 14.062 (16.040)
Epoch: [23][3970/7045]	Time 0.101 (0.247)	Data 0.001 (0.182)	Loss 4.9489 (5.0118)	Prec@1 3.906 (4.690)	Prec@5 19.922 (16.041)
Epoch: [23][3980/7045]	Time 0.102 (0.247)	Data 0.004 (0.182)	Loss 4.9551 (5.0118)	Prec@1 6.250 (4.691)	Prec@5 19.531 (16.044)
Epoch: [23][3990/7045]	Time 0.731 (0.247)	Data 0.679 (0.182)	Loss 5.0348 (5.0117)	Prec@1 2.734 (4.690)	Prec@5 17.578 (16.045)
Epoch: [23][4000/7045]	Time 0.114 (0.247)	Data 0.062 (0.182)	Loss 5.2711 (5.0117)	Prec@1 1.953 (4.689)	Prec@5 10.156 (16.044)
Epoch: [23][4010/7045]	Time 0.440 (0.247)	Data 0.389 (0.182)	Loss 5.0676 (5.0115)	Prec@1 3.516 (4.690)	Prec@5 12.109 (16.047)
Epoch: [23][4020/7045]	Time 0.221 (0.247)	Data 0.171 (0.182)	Loss 5.0264 (5.0115)	Prec@1 5.469 (4.690)	Prec@5 15.234 (16.046)
Epoch: [23][4030/7045]	Time 0.132 (0.247)	Data 0.081 (0.182)	Loss 5.0362 (5.0117)	Prec@1 2.734 (4.689)	Prec@5 17.188 (16.046)
Epoch: [23][4040/7045]	Time 0.104 (0.247)	Data 0.053 (0.182)	Loss 5.0547 (5.0117)	Prec@1 4.688 (4.688)	Prec@5 15.234 (16.047)
Epoch: [23][4050/7045]	Time 0.101 (0.247)	Data 0.005 (0.182)	Loss 5.0895 (5.0117)	Prec@1 3.906 (4.688)	Prec@5 15.234 (16.047)
Epoch: [23][4060/7045]	Time 0.191 (0.247)	Data 0.140 (0.182)	Loss 5.1255 (5.0117)	Prec@1 5.078 (4.688)	Prec@5 15.625 (16.045)
Epoch: [23][4070/7045]	Time 0.102 (0.247)	Data 0.001 (0.182)	Loss 5.2884 (5.0118)	Prec@1 3.125 (4.687)	Prec@5 12.891 (16.045)
Epoch: [23][4080/7045]	Time 0.448 (0.247)	Data 0.392 (0.182)	Loss 5.1872 (5.0119)	Prec@1 2.344 (4.685)	Prec@5 12.109 (16.045)
Epoch: [23][4090/7045]	Time 0.102 (0.246)	Data 0.001 (0.182)	Loss 4.9923 (5.0119)	Prec@1 5.469 (4.685)	Prec@5 15.625 (16.046)
Epoch: [23][4100/7045]	Time 0.495 (0.247)	Data 0.438 (0.182)	Loss 4.9681 (5.0120)	Prec@1 3.906 (4.685)	Prec@5 14.844 (16.045)
Epoch: [23][4110/7045]	Time 0.346 (0.246)	Data 0.295 (0.182)	Loss 4.9046 (5.0120)	Prec@1 5.078 (4.685)	Prec@5 21.875 (16.047)
Epoch: [23][4120/7045]	Time 0.235 (0.246)	Data 0.184 (0.182)	Loss 4.8845 (5.0119)	Prec@1 5.078 (4.687)	Prec@5 19.141 (16.050)
Epoch: [23][4130/7045]	Time 0.104 (0.246)	Data 0.052 (0.182)	Loss 4.9927 (5.0119)	Prec@1 3.125 (4.688)	Prec@5 14.453 (16.051)
Epoch: [23][4140/7045]	Time 0.103 (0.246)	Data 0.051 (0.182)	Loss 5.0398 (5.0119)	Prec@1 6.250 (4.688)	Prec@5 13.672 (16.049)
Epoch: [23][4150/7045]	Time 0.102 (0.246)	Data 0.001 (0.182)	Loss 5.0767 (5.0119)	Prec@1 4.297 (4.688)	Prec@5 13.281 (16.051)
Epoch: [23][4160/7045]	Time 0.154 (0.246)	Data 0.103 (0.182)	Loss 5.0080 (5.0118)	Prec@1 3.906 (4.687)	Prec@5 15.625 (16.052)
Epoch: [23][4170/7045]	Time 0.461 (0.246)	Data 0.410 (0.182)	Loss 4.9108 (5.0117)	Prec@1 4.297 (4.688)	Prec@5 16.016 (16.055)
Epoch: [23][4180/7045]	Time 0.108 (0.246)	Data 0.001 (0.182)	Loss 4.9065 (5.0117)	Prec@1 6.250 (4.689)	Prec@5 17.969 (16.057)
Epoch: [23][4190/7045]	Time 0.296 (0.246)	Data 0.245 (0.182)	Loss 5.0930 (5.0115)	Prec@1 3.125 (4.688)	Prec@5 16.016 (16.058)
Epoch: [23][4200/7045]	Time 0.333 (0.246)	Data 0.282 (0.182)	Loss 5.0790 (5.0116)	Prec@1 6.250 (4.689)	Prec@5 18.359 (16.058)
Epoch: [23][4210/7045]	Time 0.102 (0.246)	Data 0.009 (0.182)	Loss 4.9839 (5.0117)	Prec@1 5.469 (4.688)	Prec@5 16.797 (16.055)
Epoch: [23][4220/7045]	Time 0.184 (0.246)	Data 0.132 (0.182)	Loss 4.9446 (5.0116)	Prec@1 6.250 (4.688)	Prec@5 20.312 (16.056)
Epoch: [23][4230/7045]	Time 0.193 (0.246)	Data 0.141 (0.182)	Loss 4.9390 (5.0115)	Prec@1 5.859 (4.688)	Prec@5 14.062 (16.056)
Epoch: [23][4240/7045]	Time 0.101 (0.246)	Data 0.001 (0.182)	Loss 5.0141 (5.0113)	Prec@1 4.688 (4.690)	Prec@5 19.531 (16.059)
Epoch: [23][4250/7045]	Time 0.152 (0.246)	Data 0.102 (0.182)	Loss 5.0497 (5.0114)	Prec@1 5.078 (4.690)	Prec@5 18.359 (16.057)
Epoch: [23][4260/7045]	Time 0.439 (0.246)	Data 0.387 (0.182)	Loss 5.0415 (5.0114)	Prec@1 3.906 (4.689)	Prec@5 13.672 (16.055)
Epoch: [23][4270/7045]	Time 0.099 (0.246)	Data 0.001 (0.182)	Loss 5.0644 (5.0114)	Prec@1 3.906 (4.689)	Prec@5 18.750 (16.055)
Epoch: [23][4280/7045]	Time 0.286 (0.246)	Data 0.236 (0.182)	Loss 5.1031 (5.0114)	Prec@1 3.125 (4.689)	Prec@5 14.844 (16.054)
Epoch: [23][4290/7045]	Time 0.330 (0.246)	Data 0.280 (0.182)	Loss 4.9571 (5.0112)	Prec@1 5.078 (4.691)	Prec@5 16.016 (16.058)
Epoch: [23][4300/7045]	Time 0.102 (0.246)	Data 0.008 (0.182)	Loss 4.9669 (5.0112)	Prec@1 3.906 (4.691)	Prec@5 19.531 (16.058)
Epoch: [23][4310/7045]	Time 0.307 (0.246)	Data 0.257 (0.182)	Loss 4.9311 (5.0113)	Prec@1 5.469 (4.691)	Prec@5 17.969 (16.055)
Epoch: [23][4320/7045]	Time 0.386 (0.246)	Data 0.334 (0.182)	Loss 5.0288 (5.0114)	Prec@1 3.125 (4.689)	Prec@5 12.500 (16.051)
Epoch: [23][4330/7045]	Time 0.193 (0.246)	Data 0.142 (0.182)	Loss 4.8858 (5.0114)	Prec@1 6.250 (4.689)	Prec@5 19.531 (16.053)
Epoch: [23][4340/7045]	Time 0.291 (0.246)	Data 0.240 (0.182)	Loss 5.0804 (5.0113)	Prec@1 4.688 (4.689)	Prec@5 12.500 (16.053)
Epoch: [23][4350/7045]	Time 0.251 (0.246)	Data 0.199 (0.182)	Loss 5.0215 (5.0114)	Prec@1 5.078 (4.689)	Prec@5 15.625 (16.050)
Epoch: [23][4360/7045]	Time 0.463 (0.246)	Data 0.404 (0.182)	Loss 4.9272 (5.0114)	Prec@1 2.734 (4.688)	Prec@5 16.797 (16.051)
Epoch: [23][4370/7045]	Time 0.102 (0.246)	Data 0.023 (0.182)	Loss 5.1489 (5.0114)	Prec@1 2.344 (4.689)	Prec@5 11.719 (16.048)
Epoch: [23][4380/7045]	Time 0.537 (0.246)	Data 0.487 (0.182)	Loss 5.0461 (5.0114)	Prec@1 2.734 (4.689)	Prec@5 13.281 (16.048)
Epoch: [23][4390/7045]	Time 0.413 (0.246)	Data 0.360 (0.182)	Loss 5.0906 (5.0114)	Prec@1 3.516 (4.688)	Prec@5 14.844 (16.045)
Epoch: [23][4400/7045]	Time 0.188 (0.246)	Data 0.136 (0.182)	Loss 4.8532 (5.0113)	Prec@1 6.641 (4.689)	Prec@5 18.750 (16.048)
Epoch: [23][4410/7045]	Time 0.108 (0.246)	Data 0.057 (0.182)	Loss 5.0446 (5.0113)	Prec@1 5.078 (4.690)	Prec@5 15.234 (16.049)
Epoch: [23][4420/7045]	Time 0.124 (0.246)	Data 0.073 (0.182)	Loss 5.0954 (5.0113)	Prec@1 2.734 (4.688)	Prec@5 15.234 (16.046)
Epoch: [23][4430/7045]	Time 0.108 (0.246)	Data 0.056 (0.182)	Loss 4.9430 (5.0113)	Prec@1 5.859 (4.688)	Prec@5 19.922 (16.043)
Epoch: [23][4440/7045]	Time 0.386 (0.246)	Data 0.332 (0.182)	Loss 5.0675 (5.0115)	Prec@1 3.125 (4.686)	Prec@5 14.062 (16.039)
Epoch: [23][4450/7045]	Time 0.111 (0.246)	Data 0.059 (0.182)	Loss 4.9817 (5.0116)	Prec@1 5.078 (4.685)	Prec@5 16.406 (16.037)
Epoch: [23][4460/7045]	Time 0.500 (0.246)	Data 0.449 (0.182)	Loss 5.0151 (5.0116)	Prec@1 6.250 (4.685)	Prec@5 16.797 (16.039)
Epoch: [23][4470/7045]	Time 0.102 (0.246)	Data 0.048 (0.182)	Loss 5.1086 (5.0116)	Prec@1 3.516 (4.683)	Prec@5 12.891 (16.037)
Epoch: [23][4480/7045]	Time 0.107 (0.246)	Data 0.001 (0.182)	Loss 4.9764 (5.0116)	Prec@1 5.469 (4.684)	Prec@5 14.062 (16.037)
Epoch: [23][4490/7045]	Time 0.101 (0.246)	Data 0.001 (0.182)	Loss 5.0609 (5.0115)	Prec@1 4.688 (4.685)	Prec@5 14.062 (16.038)
Epoch: [23][4500/7045]	Time 0.211 (0.246)	Data 0.160 (0.182)	Loss 5.0610 (5.0114)	Prec@1 2.734 (4.685)	Prec@5 10.547 (16.037)
Epoch: [23][4510/7045]	Time 0.281 (0.246)	Data 0.230 (0.182)	Loss 5.0482 (5.0115)	Prec@1 3.906 (4.684)	Prec@5 17.578 (16.036)
Epoch: [23][4520/7045]	Time 0.101 (0.246)	Data 0.044 (0.182)	Loss 5.1126 (5.0116)	Prec@1 3.125 (4.683)	Prec@5 14.844 (16.034)
Epoch: [23][4530/7045]	Time 0.504 (0.246)	Data 0.445 (0.182)	Loss 5.1679 (5.0117)	Prec@1 2.344 (4.683)	Prec@5 14.844 (16.035)
Epoch: [23][4540/7045]	Time 0.183 (0.246)	Data 0.131 (0.182)	Loss 4.9956 (5.0116)	Prec@1 2.344 (4.682)	Prec@5 13.281 (16.033)
Epoch: [23][4550/7045]	Time 0.507 (0.246)	Data 0.450 (0.182)	Loss 5.1766 (5.0117)	Prec@1 3.906 (4.681)	Prec@5 12.109 (16.032)
Epoch: [23][4560/7045]	Time 0.161 (0.246)	Data 0.110 (0.182)	Loss 5.1174 (5.0118)	Prec@1 5.078 (4.681)	Prec@5 11.328 (16.030)
Epoch: [23][4570/7045]	Time 0.260 (0.246)	Data 0.207 (0.182)	Loss 5.0794 (5.0119)	Prec@1 3.516 (4.681)	Prec@5 17.188 (16.026)
Epoch: [23][4580/7045]	Time 0.100 (0.246)	Data 0.001 (0.182)	Loss 5.1754 (5.0121)	Prec@1 3.516 (4.679)	Prec@5 11.719 (16.021)
Epoch: [23][4590/7045]	Time 0.101 (0.246)	Data 0.001 (0.182)	Loss 5.0624 (5.0121)	Prec@1 4.297 (4.680)	Prec@5 12.891 (16.021)
Epoch: [23][4600/7045]	Time 0.293 (0.246)	Data 0.242 (0.182)	Loss 5.0697 (5.0122)	Prec@1 4.297 (4.681)	Prec@5 13.672 (16.021)
Epoch: [23][4610/7045]	Time 0.351 (0.246)	Data 0.301 (0.182)	Loss 5.1775 (5.0124)	Prec@1 3.125 (4.681)	Prec@5 12.500 (16.020)
Epoch: [23][4620/7045]	Time 0.101 (0.246)	Data 0.001 (0.182)	Loss 5.0307 (5.0125)	Prec@1 5.469 (4.680)	Prec@5 15.625 (16.016)
Epoch: [23][4630/7045]	Time 0.837 (0.246)	Data 0.785 (0.182)	Loss 5.0128 (5.0125)	Prec@1 1.953 (4.680)	Prec@5 17.578 (16.016)
Epoch: [23][4640/7045]	Time 0.102 (0.246)	Data 0.001 (0.182)	Loss 5.0340 (5.0125)	Prec@1 3.906 (4.680)	Prec@5 13.672 (16.016)
Epoch: [23][4650/7045]	Time 0.202 (0.246)	Data 0.152 (0.182)	Loss 5.0229 (5.0125)	Prec@1 2.734 (4.680)	Prec@5 14.062 (16.016)
Epoch: [23][4660/7045]	Time 0.102 (0.246)	Data 0.001 (0.182)	Loss 5.1608 (5.0125)	Prec@1 5.859 (4.680)	Prec@5 16.406 (16.016)
Epoch: [23][4670/7045]	Time 0.140 (0.246)	Data 0.082 (0.182)	Loss 5.1545 (5.0125)	Prec@1 2.344 (4.679)	Prec@5 12.109 (16.016)
Epoch: [23][4680/7045]	Time 0.101 (0.246)	Data 0.001 (0.182)	Loss 5.0753 (5.0125)	Prec@1 5.469 (4.680)	Prec@5 17.578 (16.018)
Epoch: [23][4690/7045]	Time 0.202 (0.246)	Data 0.151 (0.182)	Loss 5.1832 (5.0126)	Prec@1 5.078 (4.680)	Prec@5 14.062 (16.016)
Epoch: [23][4700/7045]	Time 0.340 (0.246)	Data 0.289 (0.182)	Loss 4.9638 (5.0126)	Prec@1 6.250 (4.682)	Prec@5 16.406 (16.016)
Epoch: [23][4710/7045]	Time 0.100 (0.246)	Data 0.001 (0.182)	Loss 4.9749 (5.0126)	Prec@1 5.078 (4.682)	Prec@5 15.625 (16.016)
Epoch: [23][4720/7045]	Time 0.270 (0.246)	Data 0.218 (0.182)	Loss 5.1057 (5.0126)	Prec@1 2.734 (4.682)	Prec@5 13.672 (16.014)
Epoch: [23][4730/7045]	Time 0.106 (0.246)	Data 0.048 (0.182)	Loss 5.1554 (5.0126)	Prec@1 4.688 (4.682)	Prec@5 14.453 (16.014)
Epoch: [23][4740/7045]	Time 0.696 (0.246)	Data 0.644 (0.182)	Loss 5.0407 (5.0126)	Prec@1 3.906 (4.682)	Prec@5 15.234 (16.013)
Epoch: [23][4750/7045]	Time 0.103 (0.246)	Data 0.012 (0.182)	Loss 5.1581 (5.0126)	Prec@1 3.516 (4.681)	Prec@5 12.891 (16.010)
Epoch: [23][4760/7045]	Time 0.213 (0.246)	Data 0.156 (0.182)	Loss 4.8780 (5.0125)	Prec@1 5.859 (4.681)	Prec@5 21.484 (16.012)
Epoch: [23][4770/7045]	Time 0.103 (0.246)	Data 0.001 (0.182)	Loss 5.1719 (5.0126)	Prec@1 2.344 (4.681)	Prec@5 12.891 (16.012)
Epoch: [23][4780/7045]	Time 0.101 (0.246)	Data 0.045 (0.182)	Loss 4.9778 (5.0127)	Prec@1 6.250 (4.680)	Prec@5 17.578 (16.008)
Epoch: [23][4790/7045]	Time 0.295 (0.246)	Data 0.244 (0.182)	Loss 5.1422 (5.0128)	Prec@1 2.344 (4.678)	Prec@5 12.109 (16.006)
Epoch: [23][4800/7045]	Time 0.110 (0.246)	Data 0.058 (0.182)	Loss 5.0749 (5.0128)	Prec@1 4.297 (4.678)	Prec@5 13.281 (16.006)
Epoch: [23][4810/7045]	Time 0.597 (0.246)	Data 0.546 (0.182)	Loss 4.8869 (5.0127)	Prec@1 5.859 (4.679)	Prec@5 18.359 (16.008)
Epoch: [23][4820/7045]	Time 0.100 (0.246)	Data 0.046 (0.182)	Loss 5.0040 (5.0127)	Prec@1 4.297 (4.679)	Prec@5 15.234 (16.008)
Epoch: [23][4830/7045]	Time 0.630 (0.246)	Data 0.579 (0.182)	Loss 4.8313 (5.0126)	Prec@1 8.984 (4.679)	Prec@5 20.703 (16.008)
Epoch: [23][4840/7045]	Time 0.101 (0.246)	Data 0.001 (0.182)	Loss 5.0349 (5.0126)	Prec@1 7.422 (4.680)	Prec@5 16.016 (16.008)
Epoch: [23][4850/7045]	Time 0.145 (0.246)	Data 0.094 (0.182)	Loss 5.1480 (5.0126)	Prec@1 3.516 (4.679)	Prec@5 10.547 (16.006)
Epoch: [23][4860/7045]	Time 0.102 (0.246)	Data 0.002 (0.182)	Loss 4.9342 (5.0125)	Prec@1 3.906 (4.679)	Prec@5 16.797 (16.006)
Epoch: [23][4870/7045]	Time 0.375 (0.246)	Data 0.324 (0.182)	Loss 5.1275 (5.0125)	Prec@1 4.688 (4.680)	Prec@5 16.016 (16.006)
Epoch: [23][4880/7045]	Time 0.286 (0.246)	Data 0.235 (0.182)	Loss 5.0401 (5.0125)	Prec@1 4.297 (4.680)	Prec@5 15.625 (16.006)
Epoch: [23][4890/7045]	Time 0.288 (0.246)	Data 0.237 (0.182)	Loss 5.1160 (5.0127)	Prec@1 5.078 (4.678)	Prec@5 12.891 (16.001)
Epoch: [23][4900/7045]	Time 0.598 (0.246)	Data 0.547 (0.182)	Loss 4.9602 (5.0126)	Prec@1 4.297 (4.678)	Prec@5 16.016 (16.003)
Epoch: [23][4910/7045]	Time 0.101 (0.246)	Data 0.007 (0.182)	Loss 4.8772 (5.0125)	Prec@1 7.031 (4.679)	Prec@5 19.531 (16.006)
Epoch: [23][4920/7045]	Time 0.504 (0.246)	Data 0.452 (0.182)	Loss 4.8563 (5.0124)	Prec@1 4.297 (4.679)	Prec@5 20.312 (16.007)
Epoch: [23][4930/7045]	Time 0.114 (0.246)	Data 0.005 (0.182)	Loss 5.0265 (5.0123)	Prec@1 5.859 (4.679)	Prec@5 15.234 (16.007)
Epoch: [23][4940/7045]	Time 0.279 (0.246)	Data 0.228 (0.182)	Loss 5.1034 (5.0123)	Prec@1 4.688 (4.681)	Prec@5 14.844 (16.006)
Epoch: [23][4950/7045]	Time 0.101 (0.246)	Data 0.007 (0.182)	Loss 4.8369 (5.0124)	Prec@1 7.812 (4.682)	Prec@5 18.359 (16.005)
Epoch: [23][4960/7045]	Time 0.109 (0.246)	Data 0.057 (0.182)	Loss 5.0227 (5.0123)	Prec@1 4.688 (4.682)	Prec@5 17.188 (16.006)
Epoch: [23][4970/7045]	Time 0.103 (0.246)	Data 0.001 (0.182)	Loss 4.9910 (5.0124)	Prec@1 5.859 (4.682)	Prec@5 14.844 (16.004)
Epoch: [23][4980/7045]	Time 0.333 (0.246)	Data 0.283 (0.182)	Loss 5.0625 (5.0123)	Prec@1 5.469 (4.683)	Prec@5 16.406 (16.007)
Epoch: [23][4990/7045]	Time 0.110 (0.246)	Data 0.059 (0.182)	Loss 5.0564 (5.0123)	Prec@1 2.344 (4.682)	Prec@5 15.625 (16.006)
Epoch: [23][5000/7045]	Time 0.347 (0.246)	Data 0.297 (0.182)	Loss 5.0474 (5.0125)	Prec@1 3.906 (4.681)	Prec@5 14.062 (16.003)
Epoch: [23][5010/7045]	Time 0.542 (0.246)	Data 0.491 (0.182)	Loss 5.0225 (5.0126)	Prec@1 2.344 (4.679)	Prec@5 16.797 (16.001)
Epoch: [23][5020/7045]	Time 0.134 (0.246)	Data 0.083 (0.182)	Loss 5.0617 (5.0126)	Prec@1 3.906 (4.678)	Prec@5 13.281 (16.001)
Epoch: [23][5030/7045]	Time 0.521 (0.246)	Data 0.469 (0.182)	Loss 5.0792 (5.0125)	Prec@1 3.516 (4.679)	Prec@5 13.672 (16.001)
Epoch: [23][5040/7045]	Time 0.102 (0.246)	Data 0.002 (0.182)	Loss 4.9729 (5.0124)	Prec@1 5.078 (4.680)	Prec@5 18.750 (16.003)
Epoch: [23][5050/7045]	Time 0.283 (0.246)	Data 0.232 (0.182)	Loss 4.9433 (5.0124)	Prec@1 5.859 (4.680)	Prec@5 19.141 (16.003)
Epoch: [23][5060/7045]	Time 0.260 (0.246)	Data 0.208 (0.182)	Loss 5.1081 (5.0124)	Prec@1 3.906 (4.679)	Prec@5 16.797 (16.004)
Epoch: [23][5070/7045]	Time 0.101 (0.246)	Data 0.046 (0.182)	Loss 5.2424 (5.0124)	Prec@1 2.344 (4.679)	Prec@5 11.719 (16.005)
Epoch: [23][5080/7045]	Time 0.160 (0.246)	Data 0.109 (0.182)	Loss 4.9488 (5.0124)	Prec@1 5.469 (4.679)	Prec@5 18.750 (16.005)
Epoch: [23][5090/7045]	Time 0.388 (0.246)	Data 0.335 (0.182)	Loss 5.1369 (5.0123)	Prec@1 3.906 (4.680)	Prec@5 14.844 (16.004)
Epoch: [23][5100/7045]	Time 0.102 (0.246)	Data 0.001 (0.182)	Loss 4.8484 (5.0122)	Prec@1 7.422 (4.681)	Prec@5 19.922 (16.006)
Epoch: [23][5110/7045]	Time 0.523 (0.246)	Data 0.473 (0.182)	Loss 4.8733 (5.0121)	Prec@1 4.688 (4.681)	Prec@5 19.531 (16.010)
Epoch: [23][5120/7045]	Time 0.103 (0.246)	Data 0.001 (0.182)	Loss 5.3084 (5.0121)	Prec@1 2.344 (4.682)	Prec@5 11.328 (16.010)
Epoch: [23][5130/7045]	Time 0.106 (0.246)	Data 0.054 (0.182)	Loss 4.9455 (5.0120)	Prec@1 4.688 (4.683)	Prec@5 17.969 (16.011)
Epoch: [23][5140/7045]	Time 0.408 (0.246)	Data 0.356 (0.182)	Loss 4.9012 (5.0119)	Prec@1 5.859 (4.682)	Prec@5 19.531 (16.013)
Epoch: [23][5150/7045]	Time 0.108 (0.246)	Data 0.013 (0.182)	Loss 5.0794 (5.0121)	Prec@1 3.516 (4.681)	Prec@5 15.625 (16.012)
Epoch: [23][5160/7045]	Time 0.473 (0.246)	Data 0.422 (0.182)	Loss 5.1726 (5.0122)	Prec@1 2.734 (4.681)	Prec@5 16.016 (16.010)
Epoch: [23][5170/7045]	Time 0.101 (0.246)	Data 0.048 (0.182)	Loss 4.9714 (5.0123)	Prec@1 7.031 (4.680)	Prec@5 16.016 (16.004)
Epoch: [23][5180/7045]	Time 0.451 (0.246)	Data 0.399 (0.182)	Loss 5.0645 (5.0125)	Prec@1 5.859 (4.679)	Prec@5 16.016 (16.002)
Epoch: [23][5190/7045]	Time 0.111 (0.246)	Data 0.059 (0.182)	Loss 4.9465 (5.0125)	Prec@1 4.297 (4.678)	Prec@5 16.797 (16.000)
Epoch: [23][5200/7045]	Time 0.101 (0.246)	Data 0.050 (0.182)	Loss 5.0721 (5.0126)	Prec@1 5.078 (4.679)	Prec@5 16.797 (16.000)
Epoch: [23][5210/7045]	Time 0.101 (0.246)	Data 0.001 (0.182)	Loss 4.9633 (5.0125)	Prec@1 5.078 (4.680)	Prec@5 16.797 (16.001)
Epoch: [23][5220/7045]	Time 0.145 (0.246)	Data 0.093 (0.182)	Loss 4.9763 (5.0126)	Prec@1 3.906 (4.680)	Prec@5 17.969 (15.999)
Epoch: [23][5230/7045]	Time 0.306 (0.246)	Data 0.256 (0.182)	Loss 5.1373 (5.0126)	Prec@1 5.469 (4.680)	Prec@5 14.453 (16.001)
Epoch: [23][5240/7045]	Time 0.102 (0.246)	Data 0.048 (0.182)	Loss 5.0283 (5.0126)	Prec@1 4.688 (4.680)	Prec@5 17.188 (16.001)
Epoch: [23][5250/7045]	Time 0.474 (0.246)	Data 0.423 (0.182)	Loss 5.1074 (5.0127)	Prec@1 3.125 (4.681)	Prec@5 13.672 (15.999)
Epoch: [23][5260/7045]	Time 0.117 (0.246)	Data 0.068 (0.182)	Loss 5.0375 (5.0126)	Prec@1 3.906 (4.681)	Prec@5 15.234 (16.000)
Epoch: [23][5270/7045]	Time 0.264 (0.246)	Data 0.213 (0.182)	Loss 5.0393 (5.0126)	Prec@1 3.906 (4.680)	Prec@5 13.672 (15.999)
Epoch: [23][5280/7045]	Time 0.143 (0.246)	Data 0.091 (0.182)	Loss 4.9125 (5.0126)	Prec@1 5.078 (4.680)	Prec@5 16.406 (16.000)
Epoch: [23][5290/7045]	Time 0.279 (0.246)	Data 0.228 (0.182)	Loss 4.9277 (5.0126)	Prec@1 4.297 (4.680)	Prec@5 16.797 (16.000)
Epoch: [23][5300/7045]	Time 0.101 (0.246)	Data 0.001 (0.182)	Loss 5.0245 (5.0125)	Prec@1 4.688 (4.680)	Prec@5 15.625 (16.001)
Epoch: [23][5310/7045]	Time 0.396 (0.246)	Data 0.345 (0.182)	Loss 5.0978 (5.0125)	Prec@1 3.906 (4.680)	Prec@5 13.281 (16.001)
Epoch: [23][5320/7045]	Time 0.265 (0.246)	Data 0.214 (0.182)	Loss 4.9118 (5.0124)	Prec@1 4.688 (4.681)	Prec@5 16.406 (16.002)
Epoch: [23][5330/7045]	Time 0.101 (0.246)	Data 0.004 (0.182)	Loss 5.0654 (5.0124)	Prec@1 2.734 (4.680)	Prec@5 12.109 (16.001)
Epoch: [23][5340/7045]	Time 0.147 (0.246)	Data 0.095 (0.182)	Loss 5.1012 (5.0124)	Prec@1 3.516 (4.679)	Prec@5 16.406 (16.001)
Epoch: [23][5350/7045]	Time 0.101 (0.246)	Data 0.001 (0.182)	Loss 5.0369 (5.0123)	Prec@1 5.469 (4.680)	Prec@5 16.016 (16.004)
Epoch: [23][5360/7045]	Time 0.382 (0.246)	Data 0.330 (0.182)	Loss 5.0806 (5.0123)	Prec@1 4.688 (4.679)	Prec@5 13.281 (16.004)
Epoch: [23][5370/7045]	Time 0.193 (0.246)	Data 0.143 (0.182)	Loss 5.0879 (5.0124)	Prec@1 2.734 (4.679)	Prec@5 14.453 (16.005)
Epoch: [23][5380/7045]	Time 0.584 (0.246)	Data 0.532 (0.182)	Loss 4.8729 (5.0124)	Prec@1 4.688 (4.678)	Prec@5 17.578 (16.003)
Epoch: [23][5390/7045]	Time 0.101 (0.246)	Data 0.001 (0.182)	Loss 4.8069 (5.0123)	Prec@1 7.422 (4.679)	Prec@5 18.359 (16.004)
Epoch: [23][5400/7045]	Time 0.249 (0.246)	Data 0.193 (0.182)	Loss 4.9076 (5.0123)	Prec@1 7.812 (4.679)	Prec@5 20.703 (16.005)
Epoch: [23][5410/7045]	Time 0.300 (0.246)	Data 0.248 (0.182)	Loss 4.9607 (5.0122)	Prec@1 7.031 (4.679)	Prec@5 18.359 (16.006)
Epoch: [23][5420/7045]	Time 0.250 (0.246)	Data 0.200 (0.182)	Loss 4.9878 (5.0122)	Prec@1 4.688 (4.680)	Prec@5 14.844 (16.007)
Epoch: [23][5430/7045]	Time 0.255 (0.246)	Data 0.198 (0.182)	Loss 5.1868 (5.0122)	Prec@1 2.344 (4.681)	Prec@5 12.109 (16.007)
Epoch: [23][5440/7045]	Time 0.509 (0.246)	Data 0.457 (0.182)	Loss 5.1777 (5.0123)	Prec@1 3.516 (4.680)	Prec@5 15.234 (16.005)
Epoch: [23][5450/7045]	Time 0.138 (0.246)	Data 0.087 (0.182)	Loss 5.1956 (5.0123)	Prec@1 3.125 (4.681)	Prec@5 14.062 (16.005)
Epoch: [23][5460/7045]	Time 0.401 (0.246)	Data 0.350 (0.182)	Loss 4.9508 (5.0122)	Prec@1 5.469 (4.681)	Prec@5 16.016 (16.007)
Epoch: [23][5470/7045]	Time 0.287 (0.246)	Data 0.236 (0.182)	Loss 5.0521 (5.0122)	Prec@1 6.250 (4.682)	Prec@5 14.453 (16.007)
Epoch: [23][5480/7045]	Time 0.100 (0.246)	Data 0.001 (0.182)	Loss 4.8072 (5.0121)	Prec@1 7.031 (4.682)	Prec@5 20.703 (16.008)
Epoch: [23][5490/7045]	Time 0.174 (0.246)	Data 0.124 (0.182)	Loss 4.9794 (5.0120)	Prec@1 3.125 (4.683)	Prec@5 17.578 (16.010)
Epoch: [23][5500/7045]	Time 0.205 (0.246)	Data 0.154 (0.182)	Loss 5.1022 (5.0121)	Prec@1 6.641 (4.683)	Prec@5 15.234 (16.008)
Epoch: [23][5510/7045]	Time 0.301 (0.246)	Data 0.250 (0.182)	Loss 5.0340 (5.0120)	Prec@1 3.516 (4.683)	Prec@5 14.453 (16.009)
Epoch: [23][5520/7045]	Time 0.418 (0.246)	Data 0.367 (0.182)	Loss 4.9160 (5.0119)	Prec@1 5.859 (4.684)	Prec@5 18.750 (16.013)
Epoch: [23][5530/7045]	Time 0.102 (0.246)	Data 0.001 (0.182)	Loss 5.0574 (5.0118)	Prec@1 3.906 (4.685)	Prec@5 16.016 (16.015)
Epoch: [23][5540/7045]	Time 0.107 (0.246)	Data 0.016 (0.182)	Loss 5.0722 (5.0120)	Prec@1 2.734 (4.683)	Prec@5 11.328 (16.010)
Epoch: [23][5550/7045]	Time 0.101 (0.246)	Data 0.001 (0.182)	Loss 4.9556 (5.0119)	Prec@1 4.688 (4.684)	Prec@5 15.625 (16.010)
Epoch: [23][5560/7045]	Time 0.354 (0.246)	Data 0.304 (0.182)	Loss 5.0992 (5.0119)	Prec@1 3.516 (4.684)	Prec@5 12.500 (16.012)
Epoch: [23][5570/7045]	Time 0.288 (0.246)	Data 0.236 (0.182)	Loss 4.8460 (5.0119)	Prec@1 7.031 (4.685)	Prec@5 21.875 (16.011)
Epoch: [23][5580/7045]	Time 0.494 (0.246)	Data 0.442 (0.182)	Loss 5.0236 (5.0120)	Prec@1 3.516 (4.684)	Prec@5 14.844 (16.010)
Epoch: [23][5590/7045]	Time 0.102 (0.246)	Data 0.019 (0.182)	Loss 4.9555 (5.0120)	Prec@1 4.688 (4.684)	Prec@5 17.969 (16.010)
Epoch: [23][5600/7045]	Time 0.293 (0.246)	Data 0.232 (0.182)	Loss 4.8912 (5.0119)	Prec@1 4.688 (4.686)	Prec@5 20.312 (16.011)
Epoch: [23][5610/7045]	Time 0.321 (0.246)	Data 0.270 (0.182)	Loss 5.0966 (5.0119)	Prec@1 3.516 (4.685)	Prec@5 15.625 (16.012)
Epoch: [23][5620/7045]	Time 0.545 (0.246)	Data 0.493 (0.182)	Loss 5.0306 (5.0119)	Prec@1 3.516 (4.684)	Prec@5 16.797 (16.013)
Epoch: [23][5630/7045]	Time 0.101 (0.246)	Data 0.005 (0.182)	Loss 4.9889 (5.0119)	Prec@1 6.641 (4.683)	Prec@5 17.578 (16.013)
Epoch: [23][5640/7045]	Time 0.705 (0.246)	Data 0.653 (0.182)	Loss 4.9439 (5.0119)	Prec@1 3.516 (4.683)	Prec@5 16.406 (16.014)
Epoch: [23][5650/7045]	Time 0.102 (0.246)	Data 0.049 (0.182)	Loss 4.8684 (5.0118)	Prec@1 5.078 (4.682)	Prec@5 16.797 (16.012)
Epoch: [23][5660/7045]	Time 0.494 (0.246)	Data 0.444 (0.182)	Loss 5.0898 (5.0118)	Prec@1 6.250 (4.684)	Prec@5 15.234 (16.013)
Epoch: [23][5670/7045]	Time 0.131 (0.246)	Data 0.073 (0.182)	Loss 4.9648 (5.0118)	Prec@1 2.734 (4.683)	Prec@5 18.750 (16.012)
Epoch: [23][5680/7045]	Time 0.544 (0.246)	Data 0.494 (0.182)	Loss 5.1668 (5.0120)	Prec@1 3.516 (4.681)	Prec@5 12.891 (16.011)
Epoch: [23][5690/7045]	Time 0.291 (0.246)	Data 0.240 (0.182)	Loss 5.1349 (5.0121)	Prec@1 2.734 (4.679)	Prec@5 14.453 (16.008)
Epoch: [23][5700/7045]	Time 0.272 (0.246)	Data 0.222 (0.182)	Loss 5.0241 (5.0122)	Prec@1 3.516 (4.677)	Prec@5 12.500 (16.006)
Epoch: [23][5710/7045]	Time 0.448 (0.246)	Data 0.398 (0.182)	Loss 5.1641 (5.0124)	Prec@1 3.125 (4.677)	Prec@5 13.672 (16.005)
Epoch: [23][5720/7045]	Time 0.101 (0.246)	Data 0.001 (0.182)	Loss 5.0189 (5.0125)	Prec@1 4.297 (4.677)	Prec@5 18.359 (16.006)
Epoch: [23][5730/7045]	Time 0.460 (0.246)	Data 0.408 (0.182)	Loss 5.0772 (5.0125)	Prec@1 3.516 (4.676)	Prec@5 12.891 (16.005)
Epoch: [23][5740/7045]	Time 0.102 (0.246)	Data 0.001 (0.182)	Loss 4.8813 (5.0125)	Prec@1 5.859 (4.677)	Prec@5 17.188 (16.006)
Epoch: [23][5750/7045]	Time 0.240 (0.246)	Data 0.190 (0.182)	Loss 5.0003 (5.0125)	Prec@1 5.469 (4.677)	Prec@5 14.453 (16.007)
Epoch: [23][5760/7045]	Time 0.101 (0.246)	Data 0.001 (0.182)	Loss 4.9464 (5.0124)	Prec@1 4.297 (4.675)	Prec@5 17.188 (16.006)
Epoch: [23][5770/7045]	Time 0.108 (0.246)	Data 0.001 (0.182)	Loss 5.1687 (5.0124)	Prec@1 5.078 (4.677)	Prec@5 18.359 (16.008)
Epoch: [23][5780/7045]	Time 0.226 (0.246)	Data 0.175 (0.182)	Loss 5.0872 (5.0123)	Prec@1 3.516 (4.677)	Prec@5 11.719 (16.010)
Epoch: [23][5790/7045]	Time 0.101 (0.246)	Data 0.001 (0.182)	Loss 5.0291 (5.0124)	Prec@1 4.297 (4.677)	Prec@5 15.234 (16.007)
Epoch: [23][5800/7045]	Time 0.102 (0.246)	Data 0.010 (0.182)	Loss 5.0081 (5.0124)	Prec@1 6.641 (4.678)	Prec@5 18.750 (16.010)
Epoch: [23][5810/7045]	Time 0.104 (0.246)	Data 0.001 (0.182)	Loss 4.9811 (5.0124)	Prec@1 5.469 (4.678)	Prec@5 16.797 (16.010)
Epoch: [23][5820/7045]	Time 0.350 (0.246)	Data 0.300 (0.182)	Loss 5.0458 (5.0123)	Prec@1 5.078 (4.678)	Prec@5 16.406 (16.009)
Epoch: [23][5830/7045]	Time 0.102 (0.246)	Data 0.001 (0.182)	Loss 4.9341 (5.0123)	Prec@1 6.641 (4.678)	Prec@5 15.625 (16.010)
Epoch: [23][5840/7045]	Time 0.287 (0.246)	Data 0.235 (0.182)	Loss 5.0026 (5.0122)	Prec@1 4.688 (4.680)	Prec@5 14.844 (16.013)
Epoch: [23][5850/7045]	Time 0.107 (0.246)	Data 0.056 (0.182)	Loss 5.1640 (5.0122)	Prec@1 2.734 (4.681)	Prec@5 13.672 (16.016)
Epoch: [23][5860/7045]	Time 0.381 (0.246)	Data 0.330 (0.182)	Loss 4.9303 (5.0122)	Prec@1 6.641 (4.680)	Prec@5 20.312 (16.016)
Epoch: [23][5870/7045]	Time 0.181 (0.246)	Data 0.130 (0.182)	Loss 4.8531 (5.0121)	Prec@1 3.516 (4.680)	Prec@5 19.141 (16.016)
Epoch: [23][5880/7045]	Time 0.197 (0.246)	Data 0.145 (0.182)	Loss 5.0728 (5.0121)	Prec@1 4.688 (4.679)	Prec@5 12.891 (16.018)
Epoch: [23][5890/7045]	Time 0.101 (0.246)	Data 0.015 (0.182)	Loss 5.1251 (5.0121)	Prec@1 3.906 (4.679)	Prec@5 15.625 (16.017)
Epoch: [23][5900/7045]	Time 0.167 (0.246)	Data 0.117 (0.182)	Loss 5.0133 (5.0121)	Prec@1 5.859 (4.680)	Prec@5 16.406 (16.018)
Epoch: [23][5910/7045]	Time 0.116 (0.246)	Data 0.063 (0.182)	Loss 5.0302 (5.0122)	Prec@1 4.297 (4.679)	Prec@5 16.406 (16.017)
Epoch: [23][5920/7045]	Time 0.402 (0.246)	Data 0.352 (0.182)	Loss 4.9333 (5.0122)	Prec@1 7.031 (4.680)	Prec@5 18.359 (16.018)
Epoch: [23][5930/7045]	Time 0.107 (0.246)	Data 0.047 (0.182)	Loss 4.9955 (5.0123)	Prec@1 5.859 (4.680)	Prec@5 16.797 (16.018)
Epoch: [23][5940/7045]	Time 0.521 (0.246)	Data 0.470 (0.182)	Loss 4.8744 (5.0123)	Prec@1 4.688 (4.680)	Prec@5 17.969 (16.017)
Epoch: [23][5950/7045]	Time 0.102 (0.246)	Data 0.021 (0.182)	Loss 4.9805 (5.0123)	Prec@1 3.516 (4.680)	Prec@5 17.969 (16.018)
Epoch: [23][5960/7045]	Time 0.638 (0.246)	Data 0.577 (0.182)	Loss 5.0424 (5.0123)	Prec@1 5.859 (4.679)	Prec@5 16.406 (16.017)
Epoch: [23][5970/7045]	Time 0.102 (0.246)	Data 0.049 (0.182)	Loss 5.0791 (5.0123)	Prec@1 3.125 (4.680)	Prec@5 11.719 (16.019)
Epoch: [23][5980/7045]	Time 0.253 (0.246)	Data 0.202 (0.182)	Loss 5.0512 (5.0123)	Prec@1 4.297 (4.680)	Prec@5 15.234 (16.019)
Epoch: [23][5990/7045]	Time 0.190 (0.246)	Data 0.138 (0.182)	Loss 4.9096 (5.0123)	Prec@1 5.078 (4.680)	Prec@5 19.922 (16.019)
Epoch: [23][6000/7045]	Time 0.429 (0.246)	Data 0.377 (0.182)	Loss 4.9868 (5.0122)	Prec@1 2.734 (4.681)	Prec@5 16.016 (16.021)
Epoch: [23][6010/7045]	Time 0.101 (0.246)	Data 0.050 (0.182)	Loss 4.9492 (5.0121)	Prec@1 6.250 (4.683)	Prec@5 14.453 (16.020)
Epoch: [23][6020/7045]	Time 0.633 (0.246)	Data 0.573 (0.182)	Loss 4.9786 (5.0120)	Prec@1 5.469 (4.683)	Prec@5 16.016 (16.021)
Epoch: [23][6030/7045]	Time 0.107 (0.246)	Data 0.001 (0.182)	Loss 5.0380 (5.0119)	Prec@1 3.906 (4.684)	Prec@5 16.016 (16.022)
Epoch: [23][6040/7045]	Time 0.599 (0.246)	Data 0.541 (0.182)	Loss 4.9897 (5.0119)	Prec@1 5.859 (4.685)	Prec@5 15.625 (16.024)
Epoch: [23][6050/7045]	Time 0.110 (0.246)	Data 0.005 (0.182)	Loss 5.1864 (5.0118)	Prec@1 4.297 (4.685)	Prec@5 12.500 (16.025)
Epoch: [23][6060/7045]	Time 0.405 (0.246)	Data 0.355 (0.182)	Loss 5.2223 (5.0118)	Prec@1 3.516 (4.685)	Prec@5 12.500 (16.027)
Epoch: [23][6070/7045]	Time 0.101 (0.246)	Data 0.047 (0.182)	Loss 5.2082 (5.0118)	Prec@1 3.906 (4.684)	Prec@5 12.500 (16.026)
Epoch: [23][6080/7045]	Time 0.101 (0.246)	Data 0.008 (0.182)	Loss 4.9485 (5.0118)	Prec@1 7.031 (4.684)	Prec@5 16.406 (16.026)
Epoch: [23][6090/7045]	Time 0.247 (0.246)	Data 0.188 (0.182)	Loss 5.0427 (5.0118)	Prec@1 4.297 (4.685)	Prec@5 16.406 (16.025)
Epoch: [23][6100/7045]	Time 0.102 (0.246)	Data 0.002 (0.182)	Loss 5.0544 (5.0117)	Prec@1 3.906 (4.684)	Prec@5 15.625 (16.026)
Epoch: [23][6110/7045]	Time 0.406 (0.246)	Data 0.355 (0.182)	Loss 5.0762 (5.0117)	Prec@1 3.906 (4.684)	Prec@5 14.453 (16.026)
Epoch: [23][6120/7045]	Time 0.131 (0.246)	Data 0.079 (0.182)	Loss 5.1051 (5.0116)	Prec@1 3.125 (4.685)	Prec@5 15.234 (16.027)
Epoch: [23][6130/7045]	Time 0.102 (0.246)	Data 0.046 (0.182)	Loss 5.0426 (5.0116)	Prec@1 3.906 (4.686)	Prec@5 14.844 (16.028)
Epoch: [23][6140/7045]	Time 0.102 (0.246)	Data 0.001 (0.182)	Loss 5.0112 (5.0116)	Prec@1 5.859 (4.687)	Prec@5 16.797 (16.032)
Epoch: [23][6150/7045]	Time 0.125 (0.246)	Data 0.072 (0.182)	Loss 4.9601 (5.0116)	Prec@1 4.688 (4.687)	Prec@5 17.969 (16.032)
Epoch: [23][6160/7045]	Time 0.101 (0.246)	Data 0.001 (0.182)	Loss 5.0172 (5.0115)	Prec@1 4.688 (4.687)	Prec@5 16.016 (16.033)
Epoch: [23][6170/7045]	Time 0.219 (0.246)	Data 0.169 (0.182)	Loss 4.8601 (5.0115)	Prec@1 6.250 (4.687)	Prec@5 20.312 (16.034)
Epoch: [23][6180/7045]	Time 0.354 (0.246)	Data 0.303 (0.182)	Loss 5.0805 (5.0114)	Prec@1 3.516 (4.687)	Prec@5 14.453 (16.034)
Epoch: [23][6190/7045]	Time 0.176 (0.246)	Data 0.125 (0.182)	Loss 5.0443 (5.0114)	Prec@1 3.906 (4.687)	Prec@5 12.891 (16.033)
Epoch: [23][6200/7045]	Time 0.554 (0.246)	Data 0.504 (0.182)	Loss 4.9229 (5.0113)	Prec@1 6.641 (4.688)	Prec@5 16.797 (16.034)
Epoch: [23][6210/7045]	Time 0.101 (0.246)	Data 0.048 (0.182)	Loss 5.0021 (5.0113)	Prec@1 2.734 (4.688)	Prec@5 11.719 (16.033)
Epoch: [23][6220/7045]	Time 0.306 (0.246)	Data 0.253 (0.182)	Loss 4.9140 (5.0112)	Prec@1 3.906 (4.689)	Prec@5 15.234 (16.035)
Epoch: [23][6230/7045]	Time 0.102 (0.246)	Data 0.001 (0.182)	Loss 5.0382 (5.0113)	Prec@1 5.469 (4.689)	Prec@5 15.234 (16.033)
Epoch: [23][6240/7045]	Time 0.106 (0.246)	Data 0.007 (0.182)	Loss 4.8801 (5.0112)	Prec@1 6.250 (4.689)	Prec@5 22.656 (16.036)
Epoch: [23][6250/7045]	Time 0.277 (0.246)	Data 0.226 (0.182)	Loss 4.9325 (5.0112)	Prec@1 5.859 (4.690)	Prec@5 16.797 (16.036)
Epoch: [23][6260/7045]	Time 0.102 (0.246)	Data 0.001 (0.182)	Loss 5.1029 (5.0113)	Prec@1 6.250 (4.690)	Prec@5 17.969 (16.034)
Epoch: [23][6270/7045]	Time 0.648 (0.246)	Data 0.589 (0.182)	Loss 4.8438 (5.0111)	Prec@1 3.516 (4.691)	Prec@5 15.234 (16.035)
Epoch: [23][6280/7045]	Time 0.103 (0.246)	Data 0.051 (0.182)	Loss 5.0565 (5.0111)	Prec@1 5.078 (4.690)	Prec@5 14.062 (16.034)
Epoch: [23][6290/7045]	Time 0.220 (0.246)	Data 0.169 (0.182)	Loss 4.9241 (5.0110)	Prec@1 3.906 (4.690)	Prec@5 19.531 (16.036)
Epoch: [23][6300/7045]	Time 0.101 (0.246)	Data 0.001 (0.182)	Loss 5.1302 (5.0112)	Prec@1 2.344 (4.689)	Prec@5 12.891 (16.034)
Epoch: [23][6310/7045]	Time 0.108 (0.246)	Data 0.008 (0.182)	Loss 5.0178 (5.0113)	Prec@1 3.125 (4.688)	Prec@5 17.578 (16.032)
Epoch: [23][6320/7045]	Time 0.100 (0.246)	Data 0.044 (0.182)	Loss 4.9558 (5.0113)	Prec@1 6.250 (4.689)	Prec@5 18.750 (16.031)
Epoch: [23][6330/7045]	Time 0.101 (0.246)	Data 0.007 (0.182)	Loss 4.9671 (5.0114)	Prec@1 3.516 (4.689)	Prec@5 14.062 (16.029)
Epoch: [23][6340/7045]	Time 0.108 (0.246)	Data 0.056 (0.182)	Loss 4.9931 (5.0114)	Prec@1 4.688 (4.688)	Prec@5 19.141 (16.029)
Epoch: [23][6350/7045]	Time 0.101 (0.246)	Data 0.010 (0.182)	Loss 4.9813 (5.0114)	Prec@1 4.688 (4.688)	Prec@5 17.969 (16.029)
Epoch: [23][6360/7045]	Time 0.316 (0.246)	Data 0.265 (0.182)	Loss 5.1134 (5.0114)	Prec@1 4.297 (4.688)	Prec@5 15.625 (16.030)
Epoch: [23][6370/7045]	Time 0.100 (0.246)	Data 0.012 (0.182)	Loss 5.0791 (5.0115)	Prec@1 4.297 (4.686)	Prec@5 17.578 (16.030)
Epoch: [23][6380/7045]	Time 0.569 (0.246)	Data 0.517 (0.182)	Loss 4.9544 (5.0116)	Prec@1 5.859 (4.685)	Prec@5 17.969 (16.030)
Epoch: [23][6390/7045]	Time 0.189 (0.246)	Data 0.138 (0.182)	Loss 4.9086 (5.0116)	Prec@1 5.078 (4.686)	Prec@5 21.484 (16.030)
Epoch: [23][6400/7045]	Time 0.329 (0.246)	Data 0.278 (0.182)	Loss 5.1386 (5.0116)	Prec@1 2.344 (4.686)	Prec@5 12.891 (16.029)
Epoch: [23][6410/7045]	Time 0.103 (0.246)	Data 0.004 (0.182)	Loss 5.1151 (5.0117)	Prec@1 5.469 (4.684)	Prec@5 15.234 (16.027)
Epoch: [23][6420/7045]	Time 0.213 (0.246)	Data 0.161 (0.182)	Loss 5.0604 (5.0118)	Prec@1 3.906 (4.684)	Prec@5 13.281 (16.025)
Epoch: [23][6430/7045]	Time 0.196 (0.246)	Data 0.146 (0.182)	Loss 5.1850 (5.0118)	Prec@1 5.859 (4.684)	Prec@5 14.062 (16.025)
Epoch: [23][6440/7045]	Time 0.103 (0.246)	Data 0.004 (0.182)	Loss 5.0453 (5.0120)	Prec@1 4.688 (4.683)	Prec@5 15.234 (16.022)
Epoch: [23][6450/7045]	Time 0.254 (0.246)	Data 0.202 (0.182)	Loss 5.1550 (5.0120)	Prec@1 3.906 (4.684)	Prec@5 16.406 (16.024)
Epoch: [23][6460/7045]	Time 0.103 (0.246)	Data 0.001 (0.182)	Loss 4.9011 (5.0119)	Prec@1 5.469 (4.683)	Prec@5 18.359 (16.025)
Epoch: [23][6470/7045]	Time 0.102 (0.246)	Data 0.009 (0.182)	Loss 5.0592 (5.0118)	Prec@1 4.297 (4.685)	Prec@5 16.406 (16.028)
Epoch: [23][6480/7045]	Time 0.108 (0.246)	Data 0.055 (0.182)	Loss 4.8825 (5.0117)	Prec@1 4.688 (4.686)	Prec@5 18.359 (16.031)
Epoch: [23][6490/7045]	Time 0.101 (0.246)	Data 0.008 (0.182)	Loss 5.0939 (5.0117)	Prec@1 4.688 (4.687)	Prec@5 15.625 (16.031)
Epoch: [23][6500/7045]	Time 0.122 (0.246)	Data 0.068 (0.182)	Loss 4.8275 (5.0116)	Prec@1 5.859 (4.688)	Prec@5 18.750 (16.032)
Epoch: [23][6510/7045]	Time 0.104 (0.246)	Data 0.052 (0.182)	Loss 5.1977 (5.0116)	Prec@1 2.734 (4.687)	Prec@5 9.766 (16.034)
Epoch: [23][6520/7045]	Time 0.102 (0.246)	Data 0.003 (0.182)	Loss 4.8567 (5.0115)	Prec@1 6.250 (4.687)	Prec@5 21.094 (16.035)
Epoch: [23][6530/7045]	Time 0.352 (0.246)	Data 0.301 (0.182)	Loss 4.9491 (5.0116)	Prec@1 5.859 (4.687)	Prec@5 14.844 (16.034)
Epoch: [23][6540/7045]	Time 0.216 (0.246)	Data 0.165 (0.182)	Loss 4.9666 (5.0117)	Prec@1 3.906 (4.684)	Prec@5 16.797 (16.030)
Epoch: [23][6550/7045]	Time 0.566 (0.246)	Data 0.514 (0.182)	Loss 4.9614 (5.0118)	Prec@1 3.906 (4.682)	Prec@5 16.797 (16.030)
Epoch: [23][6560/7045]	Time 0.107 (0.246)	Data 0.001 (0.182)	Loss 5.0319 (5.0117)	Prec@1 5.469 (4.683)	Prec@5 13.672 (16.031)
Epoch: [23][6570/7045]	Time 0.614 (0.246)	Data 0.562 (0.182)	Loss 5.0338 (5.0118)	Prec@1 3.516 (4.682)	Prec@5 13.672 (16.028)
Epoch: [23][6580/7045]	Time 0.101 (0.246)	Data 0.001 (0.182)	Loss 5.1102 (5.0119)	Prec@1 3.906 (4.681)	Prec@5 12.500 (16.027)
Epoch: [23][6590/7045]	Time 0.591 (0.246)	Data 0.540 (0.182)	Loss 5.0153 (5.0119)	Prec@1 6.250 (4.681)	Prec@5 16.406 (16.025)
Epoch: [23][6600/7045]	Time 0.151 (0.246)	Data 0.098 (0.182)	Loss 4.8951 (5.0119)	Prec@1 7.422 (4.682)	Prec@5 16.016 (16.025)
Epoch: [23][6610/7045]	Time 0.382 (0.246)	Data 0.330 (0.182)	Loss 4.9739 (5.0119)	Prec@1 4.688 (4.681)	Prec@5 17.969 (16.024)
Epoch: [23][6620/7045]	Time 0.359 (0.246)	Data 0.308 (0.182)	Loss 5.1016 (5.0119)	Prec@1 5.859 (4.682)	Prec@5 15.234 (16.027)
Epoch: [23][6630/7045]	Time 0.105 (0.246)	Data 0.053 (0.182)	Loss 5.0414 (5.0119)	Prec@1 5.078 (4.680)	Prec@5 16.797 (16.025)
Epoch: [23][6640/7045]	Time 0.513 (0.246)	Data 0.460 (0.182)	Loss 5.0830 (5.0120)	Prec@1 5.078 (4.679)	Prec@5 12.500 (16.022)
Epoch: [23][6650/7045]	Time 0.103 (0.246)	Data 0.051 (0.182)	Loss 4.8875 (5.0120)	Prec@1 4.297 (4.679)	Prec@5 17.969 (16.022)
Epoch: [23][6660/7045]	Time 0.521 (0.246)	Data 0.471 (0.182)	Loss 4.9691 (5.0119)	Prec@1 4.297 (4.679)	Prec@5 14.844 (16.023)
Epoch: [23][6670/7045]	Time 0.105 (0.246)	Data 0.052 (0.182)	Loss 4.9973 (5.0119)	Prec@1 6.641 (4.679)	Prec@5 16.797 (16.023)
Epoch: [23][6680/7045]	Time 0.757 (0.246)	Data 0.704 (0.182)	Loss 5.0418 (5.0118)	Prec@1 4.688 (4.679)	Prec@5 17.969 (16.025)
Epoch: [23][6690/7045]	Time 0.288 (0.246)	Data 0.236 (0.182)	Loss 4.8536 (5.0118)	Prec@1 6.250 (4.680)	Prec@5 16.016 (16.024)
Epoch: [23][6700/7045]	Time 0.442 (0.246)	Data 0.391 (0.182)	Loss 4.9444 (5.0117)	Prec@1 6.250 (4.681)	Prec@5 15.234 (16.025)
Epoch: [23][6710/7045]	Time 0.166 (0.246)	Data 0.115 (0.182)	Loss 5.0481 (5.0117)	Prec@1 3.906 (4.680)	Prec@5 15.625 (16.025)
Epoch: [23][6720/7045]	Time 0.101 (0.246)	Data 0.024 (0.182)	Loss 5.0597 (5.0117)	Prec@1 5.469 (4.681)	Prec@5 15.625 (16.025)
Epoch: [23][6730/7045]	Time 0.105 (0.246)	Data 0.054 (0.182)	Loss 5.0163 (5.0116)	Prec@1 4.688 (4.682)	Prec@5 14.453 (16.026)
Epoch: [23][6740/7045]	Time 0.111 (0.246)	Data 0.060 (0.182)	Loss 4.9765 (5.0116)	Prec@1 5.469 (4.683)	Prec@5 15.234 (16.026)
Epoch: [23][6750/7045]	Time 0.102 (0.246)	Data 0.001 (0.182)	Loss 5.0128 (5.0116)	Prec@1 5.469 (4.682)	Prec@5 17.188 (16.026)
Epoch: [23][6760/7045]	Time 0.169 (0.246)	Data 0.117 (0.182)	Loss 4.8457 (5.0116)	Prec@1 6.641 (4.682)	Prec@5 19.141 (16.026)
Epoch: [23][6770/7045]	Time 0.592 (0.246)	Data 0.532 (0.182)	Loss 4.9339 (5.0114)	Prec@1 3.516 (4.682)	Prec@5 16.797 (16.027)
Epoch: [23][6780/7045]	Time 0.146 (0.246)	Data 0.095 (0.182)	Loss 5.0353 (5.0115)	Prec@1 6.641 (4.684)	Prec@5 14.453 (16.026)
Epoch: [23][6790/7045]	Time 0.529 (0.246)	Data 0.477 (0.182)	Loss 5.0814 (5.0114)	Prec@1 3.906 (4.684)	Prec@5 15.625 (16.027)
Epoch: [23][6800/7045]	Time 0.289 (0.246)	Data 0.238 (0.182)	Loss 4.9194 (5.0112)	Prec@1 6.641 (4.685)	Prec@5 19.922 (16.031)
Epoch: [23][6810/7045]	Time 0.118 (0.246)	Data 0.057 (0.182)	Loss 4.9880 (5.0112)	Prec@1 3.125 (4.684)	Prec@5 14.453 (16.031)
Epoch: [23][6820/7045]	Time 0.257 (0.246)	Data 0.206 (0.182)	Loss 5.1030 (5.0112)	Prec@1 4.688 (4.683)	Prec@5 16.016 (16.030)
Epoch: [23][6830/7045]	Time 0.101 (0.246)	Data 0.009 (0.182)	Loss 5.0598 (5.0113)	Prec@1 3.125 (4.683)	Prec@5 16.406 (16.029)
Epoch: [23][6840/7045]	Time 0.470 (0.246)	Data 0.419 (0.182)	Loss 5.0052 (5.0113)	Prec@1 3.516 (4.683)	Prec@5 12.109 (16.027)
Epoch: [23][6850/7045]	Time 0.107 (0.246)	Data 0.001 (0.182)	Loss 5.0484 (5.0113)	Prec@1 3.906 (4.684)	Prec@5 16.406 (16.026)
Epoch: [23][6860/7045]	Time 0.576 (0.246)	Data 0.515 (0.182)	Loss 4.9916 (5.0113)	Prec@1 5.859 (4.684)	Prec@5 16.016 (16.027)
Epoch: [23][6870/7045]	Time 0.217 (0.246)	Data 0.166 (0.182)	Loss 5.0910 (5.0113)	Prec@1 4.688 (4.685)	Prec@5 16.016 (16.028)
Epoch: [23][6880/7045]	Time 0.364 (0.246)	Data 0.312 (0.182)	Loss 4.9931 (5.0112)	Prec@1 3.125 (4.685)	Prec@5 13.672 (16.028)
Epoch: [23][6890/7045]	Time 0.168 (0.246)	Data 0.116 (0.182)	Loss 5.0107 (5.0112)	Prec@1 5.469 (4.685)	Prec@5 14.844 (16.030)
Epoch: [23][6900/7045]	Time 0.329 (0.246)	Data 0.278 (0.182)	Loss 5.0711 (5.0112)	Prec@1 4.688 (4.686)	Prec@5 14.062 (16.031)
Epoch: [23][6910/7045]	Time 0.292 (0.246)	Data 0.240 (0.182)	Loss 4.9590 (5.0112)	Prec@1 5.859 (4.686)	Prec@5 19.141 (16.031)
Epoch: [23][6920/7045]	Time 0.278 (0.246)	Data 0.226 (0.182)	Loss 4.8687 (5.0111)	Prec@1 3.906 (4.686)	Prec@5 20.312 (16.031)
Epoch: [23][6930/7045]	Time 0.106 (0.246)	Data 0.017 (0.182)	Loss 5.0418 (5.0110)	Prec@1 5.078 (4.687)	Prec@5 14.062 (16.034)
Epoch: [23][6940/7045]	Time 0.219 (0.246)	Data 0.169 (0.182)	Loss 4.9681 (5.0110)	Prec@1 6.250 (4.687)	Prec@5 18.359 (16.035)
Epoch: [23][6950/7045]	Time 0.108 (0.246)	Data 0.057 (0.182)	Loss 5.0834 (5.0111)	Prec@1 5.859 (4.686)	Prec@5 18.359 (16.033)
Epoch: [23][6960/7045]	Time 0.366 (0.246)	Data 0.315 (0.182)	Loss 5.1149 (5.0111)	Prec@1 6.250 (4.686)	Prec@5 17.578 (16.035)
Epoch: [23][6970/7045]	Time 0.317 (0.246)	Data 0.266 (0.182)	Loss 4.9605 (5.0110)	Prec@1 5.859 (4.687)	Prec@5 15.234 (16.036)
Epoch: [23][6980/7045]	Time 0.512 (0.246)	Data 0.462 (0.182)	Loss 5.0533 (5.0111)	Prec@1 3.516 (4.686)	Prec@5 15.234 (16.035)
Epoch: [23][6990/7045]	Time 0.331 (0.246)	Data 0.280 (0.182)	Loss 5.1135 (5.0111)	Prec@1 4.688 (4.686)	Prec@5 14.062 (16.033)
Epoch: [23][7000/7045]	Time 0.460 (0.246)	Data 0.409 (0.182)	Loss 4.9590 (5.0111)	Prec@1 4.297 (4.687)	Prec@5 18.359 (16.035)
Epoch: [23][7010/7045]	Time 0.127 (0.246)	Data 0.076 (0.182)	Loss 4.9617 (5.0110)	Prec@1 5.859 (4.687)	Prec@5 16.406 (16.036)
Epoch: [23][7020/7045]	Time 0.316 (0.246)	Data 0.264 (0.182)	Loss 5.0131 (5.0109)	Prec@1 2.734 (4.688)	Prec@5 15.625 (16.037)
Epoch: [23][7030/7045]	Time 0.103 (0.246)	Data 0.001 (0.182)	Loss 5.0448 (5.0109)	Prec@1 3.125 (4.688)	Prec@5 16.797 (16.036)
Epoch: [23][7040/7045]	Time 0.101 (0.246)	Data 0.012 (0.182)	Loss 5.0455 (5.0108)	Prec@1 5.078 (4.688)	Prec@5 15.625 (16.038)
Test: [0/143]	Time 1.421 (1.421)	Loss 4.6513 (4.6513)	Prec@1 9.766 (9.766)	Prec@5 27.734 (27.734)
Test: [10/143]	Time 0.056 (0.263)	Loss 4.7495 (4.9880)	Prec@1 5.859 (4.972)	Prec@5 26.562 (17.472)
Test: [20/143]	Time 0.434 (0.232)	Loss 4.8018 (4.9016)	Prec@1 7.031 (4.781)	Prec@5 19.531 (19.289)
Test: [30/143]	Time 0.112 (0.211)	Loss 4.8778 (4.8903)	Prec@1 6.250 (5.280)	Prec@5 21.484 (18.826)
Test: [40/143]	Time 0.309 (0.203)	Loss 5.1005 (4.8915)	Prec@1 0.391 (5.393)	Prec@5 3.906 (18.512)
Test: [50/143]	Time 0.107 (0.195)	Loss 4.5839 (4.8977)	Prec@1 4.688 (4.940)	Prec@5 32.031 (18.099)
Test: [60/143]	Time 0.278 (0.192)	Loss 5.0675 (4.8594)	Prec@1 0.781 (5.654)	Prec@5 10.938 (19.582)
Test: [70/143]	Time 0.055 (0.188)	Loss 5.2579 (4.8622)	Prec@1 0.781 (5.579)	Prec@5 9.375 (19.498)
Test: [80/143]	Time 0.412 (0.188)	Loss 4.8741 (4.8601)	Prec@1 4.297 (5.589)	Prec@5 12.109 (19.454)
Test: [90/143]	Time 0.059 (0.184)	Loss 4.9329 (4.8482)	Prec@1 3.906 (5.834)	Prec@5 12.891 (19.930)
Test: [100/143]	Time 0.365 (0.185)	Loss 4.3648 (4.8415)	Prec@1 19.922 (5.956)	Prec@5 37.891 (20.127)
Test: [110/143]	Time 0.054 (0.181)	Loss 4.9717 (4.8369)	Prec@1 5.078 (6.056)	Prec@5 20.703 (20.323)
Test: [120/143]	Time 0.140 (0.182)	Loss 4.2954 (4.8241)	Prec@1 12.500 (6.266)	Prec@5 35.938 (20.722)
Test: [130/143]	Time 0.184 (0.181)	Loss 4.4801 (4.8200)	Prec@1 13.281 (6.366)	Prec@5 26.172 (20.706)
Test: [140/143]	Time 0.115 (0.181)	Loss 5.2610 (4.8308)	Prec@1 0.391 (6.217)	Prec@5 3.906 (20.357)
 * Prec@1 6.310 Prec@5 20.449
Epoch: [24][0/7045]	Time 2.525 (2.525)	Data 2.469 (2.469)	Loss 5.1530 (5.1530)	Prec@1 4.297 (4.297)	Prec@5 15.234 (15.234)
Epoch: [24][10/7045]	Time 0.101 (0.419)	Data 0.004 (0.345)	Loss 4.9933 (5.0414)	Prec@1 3.125 (3.942)	Prec@5 17.188 (14.950)
Epoch: [24][20/7045]	Time 0.506 (0.357)	Data 0.455 (0.290)	Loss 5.0193 (5.0241)	Prec@1 3.125 (4.222)	Prec@5 18.359 (15.774)
Epoch: [24][30/7045]	Time 0.102 (0.313)	Data 0.002 (0.246)	Loss 5.2258 (5.0078)	Prec@1 4.688 (4.511)	Prec@5 14.844 (16.192)
Epoch: [24][40/7045]	Time 0.212 (0.303)	Data 0.162 (0.238)	Loss 4.9583 (5.0050)	Prec@1 4.688 (4.592)	Prec@5 14.844 (16.120)
Epoch: [24][50/7045]	Time 0.102 (0.289)	Data 0.001 (0.224)	Loss 4.9128 (5.0044)	Prec@1 7.812 (4.695)	Prec@5 19.531 (16.123)
Epoch: [24][60/7045]	Time 0.103 (0.287)	Data 0.052 (0.220)	Loss 4.9232 (5.0052)	Prec@1 4.688 (4.668)	Prec@5 16.406 (16.099)
Epoch: [24][70/7045]	Time 0.334 (0.280)	Data 0.281 (0.214)	Loss 4.9200 (4.9999)	Prec@1 6.641 (4.721)	Prec@5 19.922 (16.247)
Epoch: [24][80/7045]	Time 0.203 (0.277)	Data 0.152 (0.211)	Loss 4.9925 (4.9989)	Prec@1 3.125 (4.688)	Prec@5 15.234 (16.228)
Epoch: [24][90/7045]	Time 0.578 (0.276)	Data 0.527 (0.210)	Loss 4.8061 (4.9997)	Prec@1 6.250 (4.709)	Prec@5 16.797 (16.183)
Epoch: [24][100/7045]	Time 0.177 (0.271)	Data 0.126 (0.205)	Loss 4.9622 (4.9959)	Prec@1 6.250 (4.761)	Prec@5 17.578 (16.232)
Epoch: [24][110/7045]	Time 0.374 (0.269)	Data 0.323 (0.204)	Loss 4.9559 (4.9933)	Prec@1 5.469 (4.853)	Prec@5 18.359 (16.389)
Epoch: [24][120/7045]	Time 0.107 (0.266)	Data 0.054 (0.201)	Loss 5.0899 (4.9944)	Prec@1 4.297 (4.913)	Prec@5 14.062 (16.368)
Epoch: [24][130/7045]	Time 0.212 (0.267)	Data 0.161 (0.202)	Loss 4.9486 (4.9948)	Prec@1 6.250 (4.896)	Prec@5 19.922 (16.427)
Epoch: [24][140/7045]	Time 0.101 (0.263)	Data 0.001 (0.198)	Loss 5.1150 (4.9938)	Prec@1 2.344 (4.898)	Prec@5 13.672 (16.445)
Epoch: [24][150/7045]	Time 0.231 (0.263)	Data 0.180 (0.198)	Loss 4.9654 (4.9976)	Prec@1 6.250 (4.866)	Prec@5 17.969 (16.321)
Epoch: [24][160/7045]	Time 0.109 (0.260)	Data 0.058 (0.194)	Loss 5.0847 (4.9974)	Prec@1 3.516 (4.848)	Prec@5 12.500 (16.307)
Epoch: [24][170/7045]	Time 0.260 (0.260)	Data 0.204 (0.195)	Loss 4.9892 (4.9976)	Prec@1 7.812 (4.847)	Prec@5 17.188 (16.315)
Epoch: [24][180/7045]	Time 0.101 (0.258)	Data 0.006 (0.192)	Loss 5.0045 (4.9956)	Prec@1 5.078 (4.845)	Prec@5 16.797 (16.374)
Epoch: [24][190/7045]	Time 0.229 (0.258)	Data 0.178 (0.193)	Loss 5.1042 (4.9949)	Prec@1 4.688 (4.876)	Prec@5 15.234 (16.357)
Epoch: [24][200/7045]	Time 0.180 (0.257)	Data 0.130 (0.192)	Loss 5.0341 (4.9948)	Prec@1 4.297 (4.897)	Prec@5 15.234 (16.398)
Epoch: [24][210/7045]	Time 0.111 (0.257)	Data 0.009 (0.192)	Loss 4.9912 (4.9936)	Prec@1 5.859 (4.906)	Prec@5 17.188 (16.408)
Epoch: [24][220/7045]	Time 0.400 (0.257)	Data 0.351 (0.192)	Loss 5.0922 (4.9936)	Prec@1 6.250 (4.908)	Prec@5 16.406 (16.426)
Epoch: [24][230/7045]	Time 0.219 (0.256)	Data 0.168 (0.192)	Loss 5.2027 (4.9980)	Prec@1 3.516 (4.884)	Prec@5 12.500 (16.323)
Epoch: [24][240/7045]	Time 0.300 (0.255)	Data 0.250 (0.192)	Loss 5.3247 (4.9992)	Prec@1 0.781 (4.872)	Prec@5 8.594 (16.280)
Epoch: [24][250/7045]	Time 0.270 (0.255)	Data 0.219 (0.192)	Loss 5.1560 (5.0009)	Prec@1 4.688 (4.846)	Prec@5 12.500 (16.237)
Epoch: [24][260/7045]	Time 0.102 (0.255)	Data 0.006 (0.192)	Loss 4.8970 (5.0004)	Prec@1 7.812 (4.869)	Prec@5 19.922 (16.282)
Epoch: [24][270/7045]	Time 0.339 (0.254)	Data 0.287 (0.191)	Loss 4.9499 (4.9991)	Prec@1 4.688 (4.885)	Prec@5 19.922 (16.314)
Epoch: [24][280/7045]	Time 0.106 (0.254)	Data 0.003 (0.191)	Loss 5.0778 (4.9978)	Prec@1 2.734 (4.885)	Prec@5 10.547 (16.324)
Epoch: [24][290/7045]	Time 0.528 (0.254)	Data 0.476 (0.191)	Loss 4.9841 (4.9979)	Prec@1 5.078 (4.878)	Prec@5 17.578 (16.322)
Epoch: [24][300/7045]	Time 0.107 (0.253)	Data 0.023 (0.190)	Loss 4.7635 (4.9967)	Prec@1 7.422 (4.869)	Prec@5 19.141 (16.319)
Epoch: [24][310/7045]	Time 0.565 (0.253)	Data 0.514 (0.190)	Loss 4.9977 (4.9957)	Prec@1 3.906 (4.842)	Prec@5 13.672 (16.326)
Epoch: [24][320/7045]	Time 0.195 (0.252)	Data 0.136 (0.189)	Loss 4.9913 (4.9948)	Prec@1 4.688 (4.853)	Prec@5 17.188 (16.341)
Epoch: [24][330/7045]	Time 0.505 (0.253)	Data 0.455 (0.190)	Loss 5.1632 (4.9942)	Prec@1 3.906 (4.861)	Prec@5 15.234 (16.348)
Epoch: [24][340/7045]	Time 0.102 (0.252)	Data 0.002 (0.189)	Loss 5.1294 (4.9967)	Prec@1 5.078 (4.848)	Prec@5 15.234 (16.311)
Epoch: [24][350/7045]	Time 0.383 (0.252)	Data 0.324 (0.189)	Loss 5.0452 (4.9978)	Prec@1 3.125 (4.838)	Prec@5 17.969 (16.303)
Epoch: [24][360/7045]	Time 0.390 (0.252)	Data 0.338 (0.189)	Loss 4.9951 (4.9978)	Prec@1 5.859 (4.831)	Prec@5 18.750 (16.290)
Epoch: [24][370/7045]	Time 0.242 (0.252)	Data 0.184 (0.189)	Loss 5.0178 (4.9998)	Prec@1 3.906 (4.814)	Prec@5 15.234 (16.253)
Epoch: [24][380/7045]	Time 0.494 (0.252)	Data 0.444 (0.189)	Loss 5.0267 (5.0010)	Prec@1 3.516 (4.802)	Prec@5 16.797 (16.249)
Epoch: [24][390/7045]	Time 0.134 (0.251)	Data 0.076 (0.189)	Loss 5.0931 (5.0011)	Prec@1 3.516 (4.804)	Prec@5 10.938 (16.239)
Epoch: [24][400/7045]	Time 0.635 (0.252)	Data 0.579 (0.189)	Loss 5.0544 (5.0022)	Prec@1 6.250 (4.806)	Prec@5 14.844 (16.221)
Epoch: [24][410/7045]	Time 0.100 (0.251)	Data 0.001 (0.188)	Loss 5.0818 (5.0040)	Prec@1 3.516 (4.810)	Prec@5 14.844 (16.214)
Epoch: [24][420/7045]	Time 0.582 (0.251)	Data 0.531 (0.188)	Loss 5.0570 (5.0053)	Prec@1 5.078 (4.803)	Prec@5 16.406 (16.220)
Epoch: [24][430/7045]	Time 0.102 (0.250)	Data 0.001 (0.186)	Loss 5.1191 (5.0072)	Prec@1 2.734 (4.796)	Prec@5 9.766 (16.187)
Epoch: [24][440/7045]	Time 0.310 (0.251)	Data 0.259 (0.187)	Loss 4.9841 (5.0074)	Prec@1 5.859 (4.819)	Prec@5 15.625 (16.184)
Epoch: [24][450/7045]	Time 0.300 (0.251)	Data 0.249 (0.187)	Loss 4.9224 (5.0069)	Prec@1 4.688 (4.813)	Prec@5 20.312 (16.181)
Epoch: [24][460/7045]	Time 0.101 (0.251)	Data 0.003 (0.186)	Loss 5.0527 (5.0064)	Prec@1 5.078 (4.819)	Prec@5 12.500 (16.170)
Epoch: [24][470/7045]	Time 0.287 (0.250)	Data 0.235 (0.186)	Loss 4.9261 (5.0072)	Prec@1 5.469 (4.800)	Prec@5 16.406 (16.133)
Epoch: [24][480/7045]	Time 0.108 (0.250)	Data 0.003 (0.186)	Loss 4.8638 (5.0065)	Prec@1 8.594 (4.820)	Prec@5 19.141 (16.152)
Epoch: [24][490/7045]	Time 0.293 (0.250)	Data 0.241 (0.185)	Loss 4.9722 (5.0065)	Prec@1 3.906 (4.824)	Prec@5 17.969 (16.163)
Epoch: [24][500/7045]	Time 0.170 (0.250)	Data 0.119 (0.185)	Loss 4.9946 (5.0065)	Prec@1 3.125 (4.833)	Prec@5 15.625 (16.167)
Epoch: [24][510/7045]	Time 0.272 (0.249)	Data 0.221 (0.185)	Loss 5.1506 (5.0071)	Prec@1 4.688 (4.830)	Prec@5 14.844 (16.175)
Epoch: [24][520/7045]	Time 0.245 (0.250)	Data 0.185 (0.186)	Loss 5.0280 (5.0083)	Prec@1 6.641 (4.814)	Prec@5 19.141 (16.142)
Epoch: [24][530/7045]	Time 0.225 (0.249)	Data 0.174 (0.185)	Loss 4.9081 (5.0091)	Prec@1 5.078 (4.802)	Prec@5 19.531 (16.151)
Epoch: [24][540/7045]	Time 0.281 (0.249)	Data 0.230 (0.186)	Loss 4.8759 (5.0081)	Prec@1 5.469 (4.799)	Prec@5 20.703 (16.157)
Epoch: [24][550/7045]	Time 0.341 (0.249)	Data 0.289 (0.185)	Loss 5.0510 (5.0089)	Prec@1 3.516 (4.786)	Prec@5 13.281 (16.150)
Epoch: [24][560/7045]	Time 0.306 (0.249)	Data 0.248 (0.186)	Loss 5.0745 (5.0088)	Prec@1 3.906 (4.786)	Prec@5 12.109 (16.156)
Epoch: [24][570/7045]	Time 0.101 (0.249)	Data 0.003 (0.185)	Loss 4.9251 (5.0085)	Prec@1 6.641 (4.778)	Prec@5 16.016 (16.163)
Epoch: [24][580/7045]	Time 0.349 (0.249)	Data 0.296 (0.185)	Loss 5.0337 (5.0088)	Prec@1 4.688 (4.785)	Prec@5 19.141 (16.179)
Epoch: [24][590/7045]	Time 0.249 (0.249)	Data 0.198 (0.186)	Loss 5.0892 (5.0092)	Prec@1 1.562 (4.785)	Prec@5 10.938 (16.171)
Epoch: [24][600/7045]	Time 0.269 (0.248)	Data 0.217 (0.185)	Loss 4.9188 (5.0092)	Prec@1 6.250 (4.794)	Prec@5 17.188 (16.163)
Epoch: [24][610/7045]	Time 0.279 (0.248)	Data 0.227 (0.185)	Loss 4.9069 (5.0087)	Prec@1 8.203 (4.799)	Prec@5 18.359 (16.167)
Epoch: [24][620/7045]	Time 0.183 (0.248)	Data 0.132 (0.185)	Loss 4.9191 (5.0075)	Prec@1 6.641 (4.814)	Prec@5 17.578 (16.181)
Epoch: [24][630/7045]	Time 0.326 (0.248)	Data 0.275 (0.186)	Loss 4.8818 (5.0074)	Prec@1 3.125 (4.816)	Prec@5 21.875 (16.188)
Epoch: [24][640/7045]	Time 0.123 (0.248)	Data 0.072 (0.185)	Loss 4.8377 (5.0072)	Prec@1 5.078 (4.812)	Prec@5 23.438 (16.201)
Epoch: [24][650/7045]	Time 0.492 (0.248)	Data 0.441 (0.186)	Loss 4.8816 (5.0073)	Prec@1 6.250 (4.808)	Prec@5 16.797 (16.196)
Epoch: [24][660/7045]	Time 0.247 (0.248)	Data 0.189 (0.186)	Loss 4.8931 (5.0072)	Prec@1 5.859 (4.809)	Prec@5 19.141 (16.199)
Epoch: [24][670/7045]	Time 0.273 (0.248)	Data 0.221 (0.186)	Loss 4.9518 (5.0066)	Prec@1 7.422 (4.811)	Prec@5 17.188 (16.210)
Epoch: [24][680/7045]	Time 0.448 (0.248)	Data 0.396 (0.186)	Loss 5.2313 (5.0066)	Prec@1 2.734 (4.811)	Prec@5 11.328 (16.210)
Epoch: [24][690/7045]	Time 0.262 (0.248)	Data 0.211 (0.186)	Loss 5.0599 (5.0069)	Prec@1 5.859 (4.810)	Prec@5 17.969 (16.208)
Epoch: [24][700/7045]	Time 0.607 (0.248)	Data 0.555 (0.186)	Loss 5.0053 (5.0067)	Prec@1 5.078 (4.818)	Prec@5 15.625 (16.213)
Epoch: [24][710/7045]	Time 0.102 (0.248)	Data 0.002 (0.186)	Loss 5.1163 (5.0067)	Prec@1 2.344 (4.826)	Prec@5 14.062 (16.228)
Epoch: [24][720/7045]	Time 0.174 (0.248)	Data 0.115 (0.186)	Loss 5.0772 (5.0070)	Prec@1 4.688 (4.826)	Prec@5 16.406 (16.221)
Epoch: [24][730/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 4.9251 (5.0070)	Prec@1 7.422 (4.834)	Prec@5 18.359 (16.230)
Epoch: [24][740/7045]	Time 0.102 (0.248)	Data 0.050 (0.185)	Loss 4.9952 (5.0078)	Prec@1 3.516 (4.827)	Prec@5 15.234 (16.210)
Epoch: [24][750/7045]	Time 0.103 (0.248)	Data 0.001 (0.185)	Loss 5.0211 (5.0082)	Prec@1 4.688 (4.833)	Prec@5 16.406 (16.221)
Epoch: [24][760/7045]	Time 0.170 (0.248)	Data 0.112 (0.185)	Loss 5.0231 (5.0080)	Prec@1 5.078 (4.835)	Prec@5 14.453 (16.236)
Epoch: [24][770/7045]	Time 0.149 (0.248)	Data 0.097 (0.185)	Loss 4.8049 (5.0075)	Prec@1 5.859 (4.838)	Prec@5 21.484 (16.239)
Epoch: [24][780/7045]	Time 0.100 (0.248)	Data 0.047 (0.185)	Loss 4.8301 (5.0074)	Prec@1 6.641 (4.829)	Prec@5 18.750 (16.236)
Epoch: [24][790/7045]	Time 0.108 (0.248)	Data 0.056 (0.185)	Loss 5.0088 (5.0076)	Prec@1 4.688 (4.821)	Prec@5 13.672 (16.226)
Epoch: [24][800/7045]	Time 0.101 (0.248)	Data 0.047 (0.185)	Loss 4.9320 (5.0073)	Prec@1 5.078 (4.826)	Prec@5 16.406 (16.241)
Epoch: [24][810/7045]	Time 0.417 (0.248)	Data 0.365 (0.185)	Loss 4.8664 (5.0065)	Prec@1 5.078 (4.829)	Prec@5 18.359 (16.250)
Epoch: [24][820/7045]	Time 0.137 (0.248)	Data 0.086 (0.185)	Loss 5.1071 (5.0068)	Prec@1 3.906 (4.824)	Prec@5 14.453 (16.242)
Epoch: [24][830/7045]	Time 0.642 (0.248)	Data 0.591 (0.186)	Loss 5.0066 (5.0071)	Prec@1 7.031 (4.824)	Prec@5 20.703 (16.243)
Epoch: [24][840/7045]	Time 0.108 (0.248)	Data 0.017 (0.185)	Loss 5.1246 (5.0076)	Prec@1 3.125 (4.824)	Prec@5 16.016 (16.238)
Epoch: [24][850/7045]	Time 0.538 (0.248)	Data 0.487 (0.185)	Loss 4.9762 (5.0076)	Prec@1 3.125 (4.823)	Prec@5 14.062 (16.239)
Epoch: [24][860/7045]	Time 0.152 (0.248)	Data 0.101 (0.185)	Loss 4.8905 (5.0072)	Prec@1 4.688 (4.828)	Prec@5 19.531 (16.247)
Epoch: [24][870/7045]	Time 0.494 (0.248)	Data 0.444 (0.185)	Loss 5.0542 (5.0073)	Prec@1 2.734 (4.824)	Prec@5 14.453 (16.249)
Epoch: [24][880/7045]	Time 0.116 (0.248)	Data 0.065 (0.185)	Loss 5.0521 (5.0073)	Prec@1 5.469 (4.825)	Prec@5 16.016 (16.248)
Epoch: [24][890/7045]	Time 0.276 (0.248)	Data 0.226 (0.185)	Loss 4.8525 (5.0069)	Prec@1 5.469 (4.825)	Prec@5 15.625 (16.243)
Epoch: [24][900/7045]	Time 0.137 (0.247)	Data 0.085 (0.185)	Loss 5.0227 (5.0066)	Prec@1 5.078 (4.829)	Prec@5 19.531 (16.251)
Epoch: [24][910/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 5.0423 (5.0066)	Prec@1 4.297 (4.829)	Prec@5 15.625 (16.244)
Epoch: [24][920/7045]	Time 0.157 (0.247)	Data 0.107 (0.185)	Loss 4.8787 (5.0066)	Prec@1 7.031 (4.837)	Prec@5 17.969 (16.239)
Epoch: [24][930/7045]	Time 0.233 (0.247)	Data 0.183 (0.185)	Loss 4.8664 (5.0068)	Prec@1 5.469 (4.834)	Prec@5 17.578 (16.230)
Epoch: [24][940/7045]	Time 0.103 (0.247)	Data 0.051 (0.185)	Loss 4.9793 (5.0070)	Prec@1 4.297 (4.827)	Prec@5 17.578 (16.230)
Epoch: [24][950/7045]	Time 0.331 (0.247)	Data 0.279 (0.185)	Loss 5.1272 (5.0068)	Prec@1 3.516 (4.824)	Prec@5 12.500 (16.230)
Epoch: [24][960/7045]	Time 0.101 (0.247)	Data 0.001 (0.185)	Loss 4.8479 (5.0064)	Prec@1 5.469 (4.826)	Prec@5 23.047 (16.247)
Epoch: [24][970/7045]	Time 0.383 (0.247)	Data 0.330 (0.185)	Loss 4.9302 (5.0064)	Prec@1 5.859 (4.827)	Prec@5 17.188 (16.248)
Epoch: [24][980/7045]	Time 0.200 (0.247)	Data 0.142 (0.185)	Loss 5.0553 (5.0066)	Prec@1 5.469 (4.828)	Prec@5 16.797 (16.244)
Epoch: [24][990/7045]	Time 0.316 (0.247)	Data 0.265 (0.185)	Loss 5.0351 (5.0066)	Prec@1 5.078 (4.828)	Prec@5 14.844 (16.249)
Epoch: [24][1000/7045]	Time 0.289 (0.247)	Data 0.231 (0.185)	Loss 5.0574 (5.0066)	Prec@1 3.516 (4.832)	Prec@5 15.234 (16.247)
Epoch: [24][1010/7045]	Time 0.206 (0.247)	Data 0.155 (0.185)	Loss 4.8118 (5.0066)	Prec@1 7.812 (4.835)	Prec@5 22.656 (16.253)
Epoch: [24][1020/7045]	Time 0.253 (0.247)	Data 0.202 (0.185)	Loss 4.9102 (5.0067)	Prec@1 5.859 (4.837)	Prec@5 20.312 (16.253)
Epoch: [24][1030/7045]	Time 0.100 (0.247)	Data 0.001 (0.185)	Loss 4.9157 (5.0060)	Prec@1 7.031 (4.838)	Prec@5 17.969 (16.257)
Epoch: [24][1040/7045]	Time 0.178 (0.247)	Data 0.127 (0.185)	Loss 4.9972 (5.0061)	Prec@1 5.078 (4.832)	Prec@5 15.625 (16.251)
Epoch: [24][1050/7045]	Time 0.225 (0.247)	Data 0.174 (0.185)	Loss 5.0086 (5.0060)	Prec@1 5.859 (4.843)	Prec@5 17.578 (16.262)
Epoch: [24][1060/7045]	Time 0.104 (0.246)	Data 0.053 (0.185)	Loss 5.0216 (5.0061)	Prec@1 3.516 (4.840)	Prec@5 14.453 (16.260)
Epoch: [24][1070/7045]	Time 0.310 (0.247)	Data 0.260 (0.185)	Loss 4.9678 (5.0060)	Prec@1 4.688 (4.841)	Prec@5 19.141 (16.255)
Epoch: [24][1080/7045]	Time 0.107 (0.246)	Data 0.056 (0.185)	Loss 4.7917 (5.0057)	Prec@1 5.469 (4.840)	Prec@5 23.438 (16.259)
Epoch: [24][1090/7045]	Time 0.309 (0.247)	Data 0.253 (0.185)	Loss 4.9969 (5.0054)	Prec@1 3.125 (4.840)	Prec@5 14.453 (16.252)
Epoch: [24][1100/7045]	Time 0.314 (0.246)	Data 0.263 (0.185)	Loss 5.0487 (5.0053)	Prec@1 4.688 (4.834)	Prec@5 15.234 (16.250)
Epoch: [24][1110/7045]	Time 0.303 (0.246)	Data 0.253 (0.185)	Loss 4.9247 (5.0049)	Prec@1 3.516 (4.841)	Prec@5 14.844 (16.263)
Epoch: [24][1120/7045]	Time 0.517 (0.246)	Data 0.468 (0.185)	Loss 4.9698 (5.0048)	Prec@1 5.859 (4.846)	Prec@5 18.359 (16.257)
Epoch: [24][1130/7045]	Time 0.143 (0.246)	Data 0.091 (0.184)	Loss 4.9938 (5.0044)	Prec@1 4.688 (4.847)	Prec@5 14.844 (16.269)
Epoch: [24][1140/7045]	Time 0.514 (0.246)	Data 0.464 (0.184)	Loss 4.9892 (5.0048)	Prec@1 4.297 (4.840)	Prec@5 19.531 (16.256)
Epoch: [24][1150/7045]	Time 0.232 (0.246)	Data 0.180 (0.184)	Loss 4.9621 (5.0044)	Prec@1 4.297 (4.845)	Prec@5 12.500 (16.261)
Epoch: [24][1160/7045]	Time 0.592 (0.246)	Data 0.541 (0.184)	Loss 4.8426 (5.0042)	Prec@1 6.641 (4.846)	Prec@5 22.266 (16.271)
Epoch: [24][1170/7045]	Time 0.149 (0.246)	Data 0.096 (0.184)	Loss 4.9939 (5.0040)	Prec@1 5.859 (4.849)	Prec@5 14.062 (16.271)
Epoch: [24][1180/7045]	Time 0.590 (0.246)	Data 0.538 (0.184)	Loss 5.0070 (5.0036)	Prec@1 2.734 (4.850)	Prec@5 16.797 (16.279)
Epoch: [24][1190/7045]	Time 0.153 (0.246)	Data 0.102 (0.184)	Loss 5.1891 (5.0043)	Prec@1 2.344 (4.840)	Prec@5 12.109 (16.272)
Epoch: [24][1200/7045]	Time 0.573 (0.246)	Data 0.515 (0.184)	Loss 5.0593 (5.0048)	Prec@1 5.859 (4.842)	Prec@5 17.188 (16.269)
Epoch: [24][1210/7045]	Time 0.176 (0.246)	Data 0.125 (0.184)	Loss 4.8756 (5.0048)	Prec@1 5.469 (4.834)	Prec@5 20.703 (16.264)
Epoch: [24][1220/7045]	Time 0.549 (0.246)	Data 0.497 (0.184)	Loss 4.9580 (5.0048)	Prec@1 3.516 (4.832)	Prec@5 18.750 (16.262)
Epoch: [24][1230/7045]	Time 0.132 (0.246)	Data 0.080 (0.183)	Loss 4.8071 (5.0043)	Prec@1 5.469 (4.839)	Prec@5 21.875 (16.285)
Epoch: [24][1240/7045]	Time 0.559 (0.246)	Data 0.508 (0.183)	Loss 5.0575 (5.0043)	Prec@1 5.469 (4.834)	Prec@5 18.359 (16.287)
Epoch: [24][1250/7045]	Time 0.111 (0.245)	Data 0.060 (0.183)	Loss 5.1026 (5.0051)	Prec@1 3.516 (4.826)	Prec@5 16.406 (16.274)
Epoch: [24][1260/7045]	Time 0.529 (0.246)	Data 0.479 (0.183)	Loss 5.0842 (5.0057)	Prec@1 7.422 (4.825)	Prec@5 17.578 (16.264)
Epoch: [24][1270/7045]	Time 0.109 (0.245)	Data 0.007 (0.183)	Loss 5.0295 (5.0065)	Prec@1 4.688 (4.821)	Prec@5 14.062 (16.253)
Epoch: [24][1280/7045]	Time 0.366 (0.245)	Data 0.314 (0.183)	Loss 5.0761 (5.0067)	Prec@1 4.688 (4.814)	Prec@5 14.453 (16.242)
Epoch: [24][1290/7045]	Time 0.102 (0.245)	Data 0.004 (0.183)	Loss 5.0312 (5.0067)	Prec@1 5.469 (4.818)	Prec@5 16.016 (16.241)
Epoch: [24][1300/7045]	Time 0.204 (0.245)	Data 0.153 (0.183)	Loss 4.9234 (5.0068)	Prec@1 5.078 (4.815)	Prec@5 16.797 (16.236)
Epoch: [24][1310/7045]	Time 0.101 (0.245)	Data 0.006 (0.183)	Loss 5.0525 (5.0067)	Prec@1 4.297 (4.813)	Prec@5 16.016 (16.240)
Epoch: [24][1320/7045]	Time 0.102 (0.245)	Data 0.001 (0.183)	Loss 5.0134 (5.0068)	Prec@1 5.469 (4.811)	Prec@5 13.281 (16.233)
Epoch: [24][1330/7045]	Time 0.101 (0.245)	Data 0.006 (0.183)	Loss 5.3022 (5.0071)	Prec@1 5.078 (4.810)	Prec@5 14.062 (16.229)
Epoch: [24][1340/7045]	Time 0.259 (0.245)	Data 0.207 (0.183)	Loss 4.9935 (5.0073)	Prec@1 5.859 (4.805)	Prec@5 19.922 (16.224)
Epoch: [24][1350/7045]	Time 0.101 (0.245)	Data 0.001 (0.183)	Loss 4.9873 (5.0073)	Prec@1 5.469 (4.805)	Prec@5 16.797 (16.224)
Epoch: [24][1360/7045]	Time 0.246 (0.245)	Data 0.196 (0.183)	Loss 5.1686 (5.0073)	Prec@1 2.344 (4.801)	Prec@5 12.891 (16.230)
Epoch: [24][1370/7045]	Time 0.218 (0.245)	Data 0.167 (0.183)	Loss 5.0113 (5.0077)	Prec@1 5.859 (4.802)	Prec@5 18.750 (16.235)
Epoch: [24][1380/7045]	Time 0.257 (0.245)	Data 0.207 (0.183)	Loss 5.0356 (5.0081)	Prec@1 3.906 (4.795)	Prec@5 18.359 (16.226)
Epoch: [24][1390/7045]	Time 0.429 (0.245)	Data 0.379 (0.183)	Loss 5.1373 (5.0084)	Prec@1 5.078 (4.791)	Prec@5 13.281 (16.218)
Epoch: [24][1400/7045]	Time 0.228 (0.245)	Data 0.171 (0.183)	Loss 5.1018 (5.0086)	Prec@1 3.125 (4.786)	Prec@5 13.672 (16.206)
Epoch: [24][1410/7045]	Time 0.580 (0.245)	Data 0.528 (0.183)	Loss 4.9898 (5.0084)	Prec@1 5.859 (4.783)	Prec@5 15.234 (16.205)
Epoch: [24][1420/7045]	Time 0.115 (0.245)	Data 0.056 (0.182)	Loss 5.0849 (5.0085)	Prec@1 3.125 (4.778)	Prec@5 14.453 (16.204)
Epoch: [24][1430/7045]	Time 0.572 (0.245)	Data 0.521 (0.183)	Loss 4.9731 (5.0084)	Prec@1 7.031 (4.780)	Prec@5 16.797 (16.202)
Epoch: [24][1440/7045]	Time 0.125 (0.245)	Data 0.073 (0.182)	Loss 4.9877 (5.0086)	Prec@1 5.469 (4.778)	Prec@5 18.359 (16.202)
Epoch: [24][1450/7045]	Time 0.529 (0.245)	Data 0.478 (0.183)	Loss 5.1689 (5.0087)	Prec@1 3.125 (4.778)	Prec@5 13.281 (16.202)
Epoch: [24][1460/7045]	Time 0.149 (0.245)	Data 0.098 (0.182)	Loss 5.2070 (5.0089)	Prec@1 4.688 (4.779)	Prec@5 16.406 (16.199)
Epoch: [24][1470/7045]	Time 0.352 (0.245)	Data 0.301 (0.183)	Loss 4.9698 (5.0087)	Prec@1 6.250 (4.782)	Prec@5 16.797 (16.203)
Epoch: [24][1480/7045]	Time 0.158 (0.245)	Data 0.107 (0.183)	Loss 4.9726 (5.0087)	Prec@1 4.297 (4.780)	Prec@5 15.234 (16.201)
Epoch: [24][1490/7045]	Time 0.429 (0.245)	Data 0.378 (0.183)	Loss 5.2030 (5.0090)	Prec@1 3.125 (4.776)	Prec@5 11.719 (16.194)
Epoch: [24][1500/7045]	Time 0.141 (0.245)	Data 0.091 (0.183)	Loss 4.9840 (5.0091)	Prec@1 3.906 (4.775)	Prec@5 16.406 (16.190)
Epoch: [24][1510/7045]	Time 0.400 (0.245)	Data 0.350 (0.183)	Loss 5.0475 (5.0091)	Prec@1 3.906 (4.773)	Prec@5 16.406 (16.194)
Epoch: [24][1520/7045]	Time 0.215 (0.244)	Data 0.163 (0.183)	Loss 4.9562 (5.0095)	Prec@1 5.078 (4.770)	Prec@5 15.234 (16.184)
Epoch: [24][1530/7045]	Time 0.403 (0.245)	Data 0.344 (0.183)	Loss 4.9375 (5.0095)	Prec@1 5.078 (4.773)	Prec@5 16.016 (16.181)
Epoch: [24][1540/7045]	Time 0.230 (0.244)	Data 0.179 (0.183)	Loss 5.0768 (5.0093)	Prec@1 5.469 (4.774)	Prec@5 17.188 (16.185)
Epoch: [24][1550/7045]	Time 0.372 (0.244)	Data 0.321 (0.183)	Loss 5.0237 (5.0093)	Prec@1 3.125 (4.778)	Prec@5 14.453 (16.189)
Epoch: [24][1560/7045]	Time 0.204 (0.244)	Data 0.155 (0.183)	Loss 5.0357 (5.0093)	Prec@1 4.297 (4.779)	Prec@5 16.016 (16.189)
Epoch: [24][1570/7045]	Time 0.335 (0.244)	Data 0.283 (0.183)	Loss 5.0136 (5.0094)	Prec@1 5.469 (4.778)	Prec@5 16.406 (16.184)
Epoch: [24][1580/7045]	Time 0.215 (0.244)	Data 0.164 (0.183)	Loss 4.8747 (5.0093)	Prec@1 6.250 (4.779)	Prec@5 19.922 (16.183)
Epoch: [24][1590/7045]	Time 0.343 (0.244)	Data 0.293 (0.183)	Loss 4.9054 (5.0091)	Prec@1 5.078 (4.782)	Prec@5 17.969 (16.185)
Epoch: [24][1600/7045]	Time 0.244 (0.244)	Data 0.192 (0.183)	Loss 4.9876 (5.0090)	Prec@1 4.688 (4.782)	Prec@5 16.797 (16.188)
Epoch: [24][1610/7045]	Time 0.388 (0.244)	Data 0.336 (0.183)	Loss 5.0105 (5.0091)	Prec@1 3.906 (4.777)	Prec@5 11.719 (16.184)
Epoch: [24][1620/7045]	Time 0.258 (0.244)	Data 0.206 (0.183)	Loss 4.9692 (5.0095)	Prec@1 5.469 (4.773)	Prec@5 18.750 (16.174)
Epoch: [24][1630/7045]	Time 0.431 (0.244)	Data 0.375 (0.183)	Loss 5.1061 (5.0100)	Prec@1 4.688 (4.772)	Prec@5 13.672 (16.164)
Epoch: [24][1640/7045]	Time 0.247 (0.244)	Data 0.196 (0.183)	Loss 5.1010 (5.0098)	Prec@1 5.078 (4.774)	Prec@5 16.406 (16.167)
Epoch: [24][1650/7045]	Time 0.351 (0.244)	Data 0.300 (0.183)	Loss 4.8358 (5.0095)	Prec@1 8.594 (4.774)	Prec@5 19.922 (16.166)
Epoch: [24][1660/7045]	Time 0.265 (0.244)	Data 0.213 (0.183)	Loss 4.9588 (5.0091)	Prec@1 4.297 (4.775)	Prec@5 16.797 (16.171)
Epoch: [24][1670/7045]	Time 0.338 (0.244)	Data 0.287 (0.183)	Loss 5.0604 (5.0088)	Prec@1 5.469 (4.773)	Prec@5 16.406 (16.172)
Epoch: [24][1680/7045]	Time 0.301 (0.244)	Data 0.251 (0.183)	Loss 4.8385 (5.0087)	Prec@1 5.859 (4.773)	Prec@5 21.484 (16.175)
Epoch: [24][1690/7045]	Time 0.284 (0.244)	Data 0.233 (0.183)	Loss 4.9250 (5.0085)	Prec@1 5.859 (4.773)	Prec@5 14.062 (16.174)
Epoch: [24][1700/7045]	Time 0.300 (0.244)	Data 0.250 (0.183)	Loss 4.9942 (5.0085)	Prec@1 3.516 (4.772)	Prec@5 16.406 (16.177)
Epoch: [24][1710/7045]	Time 0.267 (0.244)	Data 0.216 (0.183)	Loss 5.2114 (5.0089)	Prec@1 3.906 (4.772)	Prec@5 14.062 (16.173)
Epoch: [24][1720/7045]	Time 0.304 (0.244)	Data 0.254 (0.182)	Loss 5.0602 (5.0090)	Prec@1 1.953 (4.772)	Prec@5 16.406 (16.173)
Epoch: [24][1730/7045]	Time 0.326 (0.244)	Data 0.274 (0.182)	Loss 4.9631 (5.0089)	Prec@1 3.906 (4.769)	Prec@5 18.359 (16.180)
Epoch: [24][1740/7045]	Time 0.313 (0.244)	Data 0.262 (0.182)	Loss 5.1236 (5.0091)	Prec@1 3.906 (4.770)	Prec@5 13.281 (16.177)
Epoch: [24][1750/7045]	Time 0.275 (0.244)	Data 0.225 (0.182)	Loss 5.1257 (5.0096)	Prec@1 3.906 (4.762)	Prec@5 16.016 (16.161)
Epoch: [24][1760/7045]	Time 0.294 (0.244)	Data 0.244 (0.182)	Loss 4.9951 (5.0095)	Prec@1 3.125 (4.758)	Prec@5 18.750 (16.166)
Epoch: [24][1770/7045]	Time 0.250 (0.244)	Data 0.199 (0.182)	Loss 4.9360 (5.0092)	Prec@1 4.688 (4.757)	Prec@5 21.094 (16.170)
Epoch: [24][1780/7045]	Time 0.307 (0.243)	Data 0.257 (0.182)	Loss 5.1047 (5.0091)	Prec@1 6.250 (4.759)	Prec@5 16.016 (16.177)
Epoch: [24][1790/7045]	Time 0.250 (0.244)	Data 0.198 (0.182)	Loss 4.8750 (5.0091)	Prec@1 7.031 (4.758)	Prec@5 16.406 (16.175)
Epoch: [24][1800/7045]	Time 0.237 (0.243)	Data 0.186 (0.182)	Loss 5.1077 (5.0091)	Prec@1 2.344 (4.757)	Prec@5 12.500 (16.174)
Epoch: [24][1810/7045]	Time 0.250 (0.243)	Data 0.194 (0.182)	Loss 4.9805 (5.0089)	Prec@1 5.078 (4.754)	Prec@5 17.969 (16.174)
Epoch: [24][1820/7045]	Time 0.325 (0.243)	Data 0.274 (0.182)	Loss 5.1232 (5.0092)	Prec@1 5.859 (4.752)	Prec@5 16.016 (16.168)
Epoch: [24][1830/7045]	Time 0.229 (0.243)	Data 0.177 (0.182)	Loss 4.9561 (5.0094)	Prec@1 2.344 (4.752)	Prec@5 15.625 (16.162)
Epoch: [24][1840/7045]	Time 0.352 (0.243)	Data 0.302 (0.182)	Loss 4.9273 (5.0091)	Prec@1 4.688 (4.754)	Prec@5 15.625 (16.169)
Epoch: [24][1850/7045]	Time 0.209 (0.243)	Data 0.148 (0.182)	Loss 5.0228 (5.0092)	Prec@1 2.344 (4.752)	Prec@5 14.062 (16.174)
Epoch: [24][1860/7045]	Time 0.378 (0.243)	Data 0.327 (0.182)	Loss 5.0617 (5.0091)	Prec@1 3.906 (4.750)	Prec@5 14.062 (16.173)
Epoch: [24][1870/7045]	Time 0.206 (0.243)	Data 0.148 (0.182)	Loss 5.0421 (5.0090)	Prec@1 4.688 (4.754)	Prec@5 14.844 (16.174)
Epoch: [24][1880/7045]	Time 0.413 (0.243)	Data 0.363 (0.182)	Loss 4.9100 (5.0088)	Prec@1 6.641 (4.759)	Prec@5 17.578 (16.182)
Epoch: [24][1890/7045]	Time 0.175 (0.243)	Data 0.117 (0.182)	Loss 4.9317 (5.0088)	Prec@1 5.859 (4.758)	Prec@5 19.141 (16.179)
Epoch: [24][1900/7045]	Time 0.423 (0.243)	Data 0.371 (0.182)	Loss 5.0134 (5.0090)	Prec@1 3.906 (4.756)	Prec@5 16.797 (16.173)
Epoch: [24][1910/7045]	Time 0.154 (0.243)	Data 0.097 (0.182)	Loss 4.9807 (5.0090)	Prec@1 2.344 (4.755)	Prec@5 15.625 (16.169)
Epoch: [24][1920/7045]	Time 0.444 (0.243)	Data 0.393 (0.182)	Loss 4.9431 (5.0090)	Prec@1 7.031 (4.758)	Prec@5 16.797 (16.171)
Epoch: [24][1930/7045]	Time 0.155 (0.243)	Data 0.098 (0.182)	Loss 5.0112 (5.0092)	Prec@1 4.688 (4.757)	Prec@5 17.188 (16.170)
Epoch: [24][1940/7045]	Time 0.517 (0.243)	Data 0.467 (0.182)	Loss 5.0656 (5.0089)	Prec@1 3.906 (4.756)	Prec@5 14.844 (16.175)
Epoch: [24][1950/7045]	Time 0.145 (0.243)	Data 0.093 (0.182)	Loss 4.9937 (5.0086)	Prec@1 5.078 (4.758)	Prec@5 16.797 (16.181)
Epoch: [24][1960/7045]	Time 0.480 (0.243)	Data 0.429 (0.182)	Loss 4.9802 (5.0084)	Prec@1 5.078 (4.761)	Prec@5 15.625 (16.178)
Epoch: [24][1970/7045]	Time 0.133 (0.243)	Data 0.081 (0.182)	Loss 4.9794 (5.0083)	Prec@1 5.078 (4.761)	Prec@5 18.750 (16.180)
Epoch: [24][1980/7045]	Time 0.541 (0.243)	Data 0.491 (0.182)	Loss 5.1038 (5.0083)	Prec@1 4.688 (4.762)	Prec@5 15.234 (16.179)
Epoch: [24][1990/7045]	Time 0.128 (0.243)	Data 0.071 (0.182)	Loss 4.9824 (5.0084)	Prec@1 6.250 (4.764)	Prec@5 15.234 (16.177)
Epoch: [24][2000/7045]	Time 0.585 (0.243)	Data 0.534 (0.182)	Loss 5.0148 (5.0084)	Prec@1 4.688 (4.763)	Prec@5 17.188 (16.177)
Epoch: [24][2010/7045]	Time 0.124 (0.243)	Data 0.072 (0.182)	Loss 4.8714 (5.0079)	Prec@1 7.031 (4.768)	Prec@5 19.141 (16.183)
Epoch: [24][2020/7045]	Time 0.569 (0.243)	Data 0.518 (0.182)	Loss 5.1873 (5.0081)	Prec@1 3.125 (4.767)	Prec@5 13.281 (16.178)
Epoch: [24][2030/7045]	Time 0.103 (0.243)	Data 0.051 (0.182)	Loss 4.8335 (5.0080)	Prec@1 4.688 (4.769)	Prec@5 19.922 (16.179)
Epoch: [24][2040/7045]	Time 0.603 (0.243)	Data 0.551 (0.182)	Loss 5.1942 (5.0081)	Prec@1 2.734 (4.770)	Prec@5 11.328 (16.179)
Epoch: [24][2050/7045]	Time 0.105 (0.243)	Data 0.051 (0.182)	Loss 5.1113 (5.0079)	Prec@1 1.953 (4.771)	Prec@5 10.156 (16.177)
Epoch: [24][2060/7045]	Time 0.596 (0.243)	Data 0.544 (0.182)	Loss 5.1425 (5.0079)	Prec@1 4.297 (4.771)	Prec@5 14.844 (16.172)
Epoch: [24][2070/7045]	Time 0.106 (0.243)	Data 0.002 (0.182)	Loss 4.8984 (5.0076)	Prec@1 5.078 (4.774)	Prec@5 19.531 (16.177)
Epoch: [24][2080/7045]	Time 0.594 (0.243)	Data 0.544 (0.182)	Loss 4.8925 (5.0072)	Prec@1 5.469 (4.776)	Prec@5 21.094 (16.181)
Epoch: [24][2090/7045]	Time 0.102 (0.243)	Data 0.004 (0.181)	Loss 4.8861 (5.0065)	Prec@1 4.688 (4.781)	Prec@5 19.141 (16.197)
Epoch: [24][2100/7045]	Time 0.581 (0.243)	Data 0.530 (0.181)	Loss 4.9410 (5.0062)	Prec@1 4.297 (4.785)	Prec@5 14.844 (16.205)
Epoch: [24][2110/7045]	Time 0.102 (0.243)	Data 0.002 (0.181)	Loss 4.8262 (5.0062)	Prec@1 4.297 (4.784)	Prec@5 20.312 (16.210)
Epoch: [24][2120/7045]	Time 0.646 (0.243)	Data 0.587 (0.181)	Loss 4.9199 (5.0060)	Prec@1 6.641 (4.783)	Prec@5 21.484 (16.212)
Epoch: [24][2130/7045]	Time 0.103 (0.242)	Data 0.002 (0.181)	Loss 5.0318 (5.0064)	Prec@1 5.859 (4.784)	Prec@5 13.672 (16.205)
Epoch: [24][2140/7045]	Time 0.638 (0.243)	Data 0.580 (0.181)	Loss 4.9676 (5.0063)	Prec@1 4.297 (4.784)	Prec@5 16.406 (16.207)
Epoch: [24][2150/7045]	Time 0.100 (0.242)	Data 0.001 (0.181)	Loss 5.1857 (5.0068)	Prec@1 3.125 (4.780)	Prec@5 13.281 (16.196)
Epoch: [24][2160/7045]	Time 0.649 (0.243)	Data 0.598 (0.181)	Loss 4.9523 (5.0070)	Prec@1 5.859 (4.775)	Prec@5 16.797 (16.191)
Epoch: [24][2170/7045]	Time 0.102 (0.242)	Data 0.001 (0.181)	Loss 4.9757 (5.0072)	Prec@1 6.641 (4.775)	Prec@5 19.141 (16.191)
Epoch: [24][2180/7045]	Time 0.642 (0.243)	Data 0.585 (0.181)	Loss 5.0562 (5.0073)	Prec@1 3.906 (4.774)	Prec@5 15.234 (16.189)
Epoch: [24][2190/7045]	Time 0.102 (0.242)	Data 0.051 (0.180)	Loss 5.0065 (5.0074)	Prec@1 4.297 (4.775)	Prec@5 17.188 (16.192)
Epoch: [24][2200/7045]	Time 0.643 (0.242)	Data 0.593 (0.180)	Loss 4.7420 (5.0071)	Prec@1 7.422 (4.773)	Prec@5 21.484 (16.190)
Epoch: [24][2210/7045]	Time 0.102 (0.242)	Data 0.001 (0.180)	Loss 5.0100 (5.0071)	Prec@1 5.078 (4.770)	Prec@5 15.625 (16.188)
Epoch: [24][2220/7045]	Time 0.632 (0.242)	Data 0.581 (0.180)	Loss 5.1256 (5.0070)	Prec@1 5.078 (4.772)	Prec@5 16.797 (16.195)
Epoch: [24][2230/7045]	Time 0.100 (0.242)	Data 0.001 (0.180)	Loss 5.0160 (5.0069)	Prec@1 5.078 (4.771)	Prec@5 16.406 (16.196)
Epoch: [24][2240/7045]	Time 0.625 (0.242)	Data 0.573 (0.180)	Loss 4.9069 (5.0068)	Prec@1 4.688 (4.774)	Prec@5 21.875 (16.200)
Epoch: [24][2250/7045]	Time 0.102 (0.242)	Data 0.001 (0.179)	Loss 4.9677 (5.0066)	Prec@1 6.250 (4.776)	Prec@5 18.750 (16.202)
Epoch: [24][2260/7045]	Time 0.632 (0.242)	Data 0.580 (0.179)	Loss 4.9320 (5.0063)	Prec@1 5.078 (4.779)	Prec@5 14.844 (16.203)
Epoch: [24][2270/7045]	Time 0.100 (0.242)	Data 0.001 (0.179)	Loss 5.0806 (5.0063)	Prec@1 5.469 (4.780)	Prec@5 14.453 (16.202)
Epoch: [24][2280/7045]	Time 0.641 (0.242)	Data 0.588 (0.179)	Loss 5.0707 (5.0064)	Prec@1 2.734 (4.780)	Prec@5 11.719 (16.199)
Epoch: [24][2290/7045]	Time 0.101 (0.242)	Data 0.001 (0.179)	Loss 4.9996 (5.0066)	Prec@1 5.078 (4.777)	Prec@5 14.844 (16.194)
Epoch: [24][2300/7045]	Time 0.638 (0.242)	Data 0.587 (0.179)	Loss 4.9595 (5.0064)	Prec@1 3.516 (4.777)	Prec@5 16.406 (16.199)
Epoch: [24][2310/7045]	Time 0.109 (0.242)	Data 0.001 (0.179)	Loss 5.0144 (5.0062)	Prec@1 3.125 (4.777)	Prec@5 16.797 (16.201)
Epoch: [24][2320/7045]	Time 0.640 (0.242)	Data 0.589 (0.179)	Loss 5.0327 (5.0062)	Prec@1 3.516 (4.774)	Prec@5 16.797 (16.200)
Epoch: [24][2330/7045]	Time 0.109 (0.242)	Data 0.001 (0.179)	Loss 4.9197 (5.0062)	Prec@1 4.688 (4.772)	Prec@5 18.750 (16.199)
Epoch: [24][2340/7045]	Time 0.581 (0.242)	Data 0.530 (0.179)	Loss 5.0619 (5.0060)	Prec@1 3.125 (4.775)	Prec@5 14.844 (16.202)
Epoch: [24][2350/7045]	Time 0.102 (0.242)	Data 0.001 (0.178)	Loss 5.0345 (5.0059)	Prec@1 3.125 (4.774)	Prec@5 15.625 (16.200)
Epoch: [24][2360/7045]	Time 0.545 (0.242)	Data 0.488 (0.179)	Loss 5.0870 (5.0057)	Prec@1 3.516 (4.775)	Prec@5 17.188 (16.205)
Epoch: [24][2370/7045]	Time 0.102 (0.242)	Data 0.001 (0.178)	Loss 4.9441 (5.0059)	Prec@1 4.297 (4.771)	Prec@5 15.234 (16.201)
Epoch: [24][2380/7045]	Time 0.520 (0.242)	Data 0.460 (0.178)	Loss 4.9960 (5.0058)	Prec@1 5.859 (4.773)	Prec@5 15.234 (16.204)
Epoch: [24][2390/7045]	Time 0.101 (0.242)	Data 0.001 (0.178)	Loss 4.8509 (5.0056)	Prec@1 4.688 (4.772)	Prec@5 21.094 (16.207)
Epoch: [24][2400/7045]	Time 0.494 (0.242)	Data 0.443 (0.178)	Loss 5.0192 (5.0055)	Prec@1 5.859 (4.772)	Prec@5 14.453 (16.204)
Epoch: [24][2410/7045]	Time 0.102 (0.242)	Data 0.002 (0.178)	Loss 5.0635 (5.0058)	Prec@1 5.859 (4.768)	Prec@5 17.188 (16.199)
Epoch: [24][2420/7045]	Time 0.495 (0.242)	Data 0.434 (0.178)	Loss 4.9286 (5.0058)	Prec@1 5.859 (4.767)	Prec@5 20.312 (16.196)
Epoch: [24][2430/7045]	Time 0.100 (0.242)	Data 0.045 (0.178)	Loss 5.0595 (5.0059)	Prec@1 5.078 (4.768)	Prec@5 12.109 (16.195)
Epoch: [24][2440/7045]	Time 0.447 (0.242)	Data 0.396 (0.178)	Loss 4.9796 (5.0060)	Prec@1 3.516 (4.768)	Prec@5 13.672 (16.195)
Epoch: [24][2450/7045]	Time 0.100 (0.242)	Data 0.045 (0.178)	Loss 5.0034 (5.0058)	Prec@1 3.516 (4.769)	Prec@5 15.234 (16.199)
Epoch: [24][2460/7045]	Time 0.472 (0.242)	Data 0.420 (0.178)	Loss 4.8876 (5.0058)	Prec@1 5.078 (4.770)	Prec@5 18.750 (16.200)
Epoch: [24][2470/7045]	Time 0.113 (0.242)	Data 0.062 (0.178)	Loss 5.0881 (5.0057)	Prec@1 4.297 (4.767)	Prec@5 15.625 (16.199)
Epoch: [24][2480/7045]	Time 0.455 (0.242)	Data 0.396 (0.178)	Loss 5.1027 (5.0056)	Prec@1 3.516 (4.768)	Prec@5 11.719 (16.200)
Epoch: [24][2490/7045]	Time 0.101 (0.242)	Data 0.048 (0.178)	Loss 4.8745 (5.0053)	Prec@1 5.078 (4.770)	Prec@5 17.969 (16.207)
Epoch: [24][2500/7045]	Time 0.438 (0.242)	Data 0.388 (0.179)	Loss 4.7932 (5.0052)	Prec@1 6.641 (4.769)	Prec@5 21.484 (16.209)
Epoch: [24][2510/7045]	Time 0.109 (0.242)	Data 0.057 (0.178)	Loss 5.1706 (5.0051)	Prec@1 3.125 (4.769)	Prec@5 15.625 (16.209)
Epoch: [24][2520/7045]	Time 0.438 (0.242)	Data 0.386 (0.179)	Loss 5.0113 (5.0052)	Prec@1 4.297 (4.767)	Prec@5 14.453 (16.209)
Epoch: [24][2530/7045]	Time 0.116 (0.242)	Data 0.065 (0.179)	Loss 5.0237 (5.0051)	Prec@1 3.516 (4.768)	Prec@5 17.188 (16.213)
Epoch: [24][2540/7045]	Time 0.417 (0.242)	Data 0.367 (0.179)	Loss 5.1299 (5.0052)	Prec@1 4.297 (4.767)	Prec@5 16.016 (16.213)
Epoch: [24][2550/7045]	Time 0.107 (0.242)	Data 0.055 (0.179)	Loss 4.9705 (5.0050)	Prec@1 5.469 (4.769)	Prec@5 14.453 (16.215)
Epoch: [24][2560/7045]	Time 0.436 (0.242)	Data 0.384 (0.179)	Loss 5.0703 (5.0051)	Prec@1 3.906 (4.769)	Prec@5 17.188 (16.214)
Epoch: [24][2570/7045]	Time 0.101 (0.242)	Data 0.046 (0.179)	Loss 5.0218 (5.0053)	Prec@1 5.078 (4.766)	Prec@5 16.406 (16.210)
Epoch: [24][2580/7045]	Time 0.428 (0.242)	Data 0.376 (0.179)	Loss 4.9830 (5.0053)	Prec@1 7.031 (4.766)	Prec@5 17.969 (16.211)
Epoch: [24][2590/7045]	Time 0.101 (0.242)	Data 0.004 (0.179)	Loss 4.9666 (5.0051)	Prec@1 5.469 (4.768)	Prec@5 16.797 (16.214)
Epoch: [24][2600/7045]	Time 0.322 (0.242)	Data 0.270 (0.179)	Loss 4.8720 (5.0049)	Prec@1 5.859 (4.768)	Prec@5 16.797 (16.224)
Epoch: [24][2610/7045]	Time 0.102 (0.242)	Data 0.003 (0.179)	Loss 4.9975 (5.0048)	Prec@1 4.688 (4.768)	Prec@5 13.672 (16.225)
Epoch: [24][2620/7045]	Time 0.333 (0.242)	Data 0.282 (0.179)	Loss 5.0106 (5.0047)	Prec@1 3.516 (4.767)	Prec@5 17.969 (16.227)
Epoch: [24][2630/7045]	Time 0.102 (0.242)	Data 0.047 (0.179)	Loss 4.9585 (5.0047)	Prec@1 5.078 (4.768)	Prec@5 18.750 (16.228)
Epoch: [24][2640/7045]	Time 0.339 (0.242)	Data 0.289 (0.179)	Loss 4.9414 (5.0046)	Prec@1 5.859 (4.770)	Prec@5 18.359 (16.233)
Epoch: [24][2650/7045]	Time 0.102 (0.242)	Data 0.048 (0.179)	Loss 5.0706 (5.0044)	Prec@1 2.344 (4.770)	Prec@5 13.281 (16.234)
Epoch: [24][2660/7045]	Time 0.305 (0.242)	Data 0.254 (0.179)	Loss 4.8804 (5.0041)	Prec@1 5.469 (4.772)	Prec@5 19.531 (16.240)
Epoch: [24][2670/7045]	Time 0.103 (0.241)	Data 0.051 (0.179)	Loss 4.9846 (5.0040)	Prec@1 6.250 (4.772)	Prec@5 19.141 (16.243)
Epoch: [24][2680/7045]	Time 0.281 (0.241)	Data 0.231 (0.179)	Loss 4.9320 (5.0039)	Prec@1 4.297 (4.773)	Prec@5 17.188 (16.245)
Epoch: [24][2690/7045]	Time 0.101 (0.241)	Data 0.046 (0.179)	Loss 5.0018 (5.0037)	Prec@1 4.297 (4.773)	Prec@5 15.234 (16.246)
Epoch: [24][2700/7045]	Time 0.302 (0.241)	Data 0.251 (0.179)	Loss 5.0469 (5.0038)	Prec@1 6.641 (4.775)	Prec@5 16.406 (16.246)
Epoch: [24][2710/7045]	Time 0.135 (0.241)	Data 0.084 (0.179)	Loss 4.9369 (5.0035)	Prec@1 5.469 (4.779)	Prec@5 17.969 (16.252)
Epoch: [24][2720/7045]	Time 0.282 (0.241)	Data 0.230 (0.179)	Loss 4.9219 (5.0032)	Prec@1 6.250 (4.779)	Prec@5 16.406 (16.256)
Epoch: [24][2730/7045]	Time 0.197 (0.241)	Data 0.146 (0.179)	Loss 5.0014 (5.0032)	Prec@1 5.078 (4.777)	Prec@5 15.625 (16.253)
Epoch: [24][2740/7045]	Time 0.265 (0.241)	Data 0.214 (0.179)	Loss 5.0564 (5.0035)	Prec@1 3.125 (4.775)	Prec@5 15.625 (16.252)
Epoch: [24][2750/7045]	Time 0.167 (0.241)	Data 0.116 (0.179)	Loss 5.0300 (5.0035)	Prec@1 5.078 (4.775)	Prec@5 19.922 (16.256)
Epoch: [24][2760/7045]	Time 0.294 (0.241)	Data 0.243 (0.179)	Loss 4.8986 (5.0033)	Prec@1 4.688 (4.778)	Prec@5 16.016 (16.257)
Epoch: [24][2770/7045]	Time 0.101 (0.241)	Data 0.046 (0.179)	Loss 5.1546 (5.0034)	Prec@1 3.516 (4.778)	Prec@5 11.719 (16.254)
Epoch: [24][2780/7045]	Time 0.273 (0.241)	Data 0.222 (0.179)	Loss 4.8959 (5.0034)	Prec@1 6.641 (4.779)	Prec@5 17.969 (16.253)
Epoch: [24][2790/7045]	Time 0.101 (0.241)	Data 0.049 (0.179)	Loss 5.0083 (5.0033)	Prec@1 2.344 (4.781)	Prec@5 12.109 (16.255)
Epoch: [24][2800/7045]	Time 0.268 (0.241)	Data 0.216 (0.179)	Loss 4.9453 (5.0033)	Prec@1 4.688 (4.779)	Prec@5 14.844 (16.251)
Epoch: [24][2810/7045]	Time 0.113 (0.241)	Data 0.060 (0.179)	Loss 4.9686 (5.0033)	Prec@1 5.078 (4.779)	Prec@5 19.141 (16.257)
Epoch: [24][2820/7045]	Time 0.228 (0.241)	Data 0.177 (0.179)	Loss 4.9088 (5.0030)	Prec@1 5.078 (4.780)	Prec@5 16.016 (16.264)
Epoch: [24][2830/7045]	Time 0.154 (0.241)	Data 0.103 (0.179)	Loss 4.9601 (5.0029)	Prec@1 3.906 (4.779)	Prec@5 15.234 (16.262)
Epoch: [24][2840/7045]	Time 0.200 (0.241)	Data 0.149 (0.179)	Loss 5.0429 (5.0029)	Prec@1 5.469 (4.779)	Prec@5 17.188 (16.264)
Epoch: [24][2850/7045]	Time 0.165 (0.241)	Data 0.114 (0.179)	Loss 4.9692 (5.0031)	Prec@1 3.906 (4.777)	Prec@5 16.406 (16.260)
Epoch: [24][2860/7045]	Time 0.179 (0.241)	Data 0.128 (0.179)	Loss 5.0415 (5.0034)	Prec@1 5.859 (4.776)	Prec@5 15.625 (16.254)
Epoch: [24][2870/7045]	Time 0.185 (0.241)	Data 0.132 (0.179)	Loss 5.0307 (5.0033)	Prec@1 5.078 (4.777)	Prec@5 17.969 (16.257)
Epoch: [24][2880/7045]	Time 0.157 (0.241)	Data 0.104 (0.179)	Loss 4.9554 (5.0032)	Prec@1 5.469 (4.777)	Prec@5 16.016 (16.258)
Epoch: [24][2890/7045]	Time 0.139 (0.241)	Data 0.087 (0.179)	Loss 5.0504 (5.0032)	Prec@1 1.953 (4.775)	Prec@5 16.016 (16.257)
Epoch: [24][2900/7045]	Time 0.167 (0.241)	Data 0.116 (0.179)	Loss 4.8609 (5.0031)	Prec@1 4.297 (4.774)	Prec@5 16.016 (16.258)
Epoch: [24][2910/7045]	Time 0.145 (0.241)	Data 0.093 (0.179)	Loss 5.0986 (5.0032)	Prec@1 3.516 (4.774)	Prec@5 12.500 (16.257)
Epoch: [24][2920/7045]	Time 0.166 (0.241)	Data 0.115 (0.179)	Loss 5.1018 (5.0033)	Prec@1 3.125 (4.772)	Prec@5 14.062 (16.254)
Epoch: [24][2930/7045]	Time 0.221 (0.241)	Data 0.170 (0.179)	Loss 4.9316 (5.0032)	Prec@1 3.516 (4.771)	Prec@5 12.500 (16.251)
Epoch: [24][2940/7045]	Time 0.112 (0.241)	Data 0.062 (0.179)	Loss 5.0156 (5.0031)	Prec@1 3.906 (4.770)	Prec@5 16.016 (16.252)
Epoch: [24][2950/7045]	Time 0.244 (0.241)	Data 0.194 (0.179)	Loss 4.8664 (5.0030)	Prec@1 4.688 (4.771)	Prec@5 19.531 (16.254)
Epoch: [24][2960/7045]	Time 0.100 (0.241)	Data 0.046 (0.179)	Loss 4.8772 (5.0028)	Prec@1 4.297 (4.773)	Prec@5 17.188 (16.258)
Epoch: [24][2970/7045]	Time 0.309 (0.241)	Data 0.257 (0.179)	Loss 5.1614 (5.0026)	Prec@1 3.125 (4.772)	Prec@5 13.281 (16.260)
Epoch: [24][2980/7045]	Time 0.102 (0.241)	Data 0.051 (0.179)	Loss 5.0724 (5.0029)	Prec@1 3.906 (4.771)	Prec@5 14.062 (16.254)
Epoch: [24][2990/7045]	Time 0.309 (0.241)	Data 0.258 (0.179)	Loss 4.8835 (5.0028)	Prec@1 7.031 (4.773)	Prec@5 17.578 (16.254)
Epoch: [24][3000/7045]	Time 0.101 (0.241)	Data 0.001 (0.179)	Loss 5.0534 (5.0027)	Prec@1 3.125 (4.772)	Prec@5 15.234 (16.257)
Epoch: [24][3010/7045]	Time 0.297 (0.241)	Data 0.246 (0.179)	Loss 5.0129 (5.0026)	Prec@1 3.906 (4.770)	Prec@5 16.797 (16.259)
Epoch: [24][3020/7045]	Time 0.102 (0.241)	Data 0.001 (0.179)	Loss 4.8301 (5.0025)	Prec@1 7.031 (4.770)	Prec@5 19.531 (16.261)
Epoch: [24][3030/7045]	Time 0.230 (0.241)	Data 0.179 (0.179)	Loss 4.9705 (5.0026)	Prec@1 4.297 (4.769)	Prec@5 15.234 (16.256)
Epoch: [24][3040/7045]	Time 0.102 (0.241)	Data 0.001 (0.179)	Loss 5.1294 (5.0028)	Prec@1 5.078 (4.769)	Prec@5 17.188 (16.254)
Epoch: [24][3050/7045]	Time 0.237 (0.241)	Data 0.185 (0.179)	Loss 5.2218 (5.0030)	Prec@1 2.734 (4.768)	Prec@5 11.719 (16.254)
Epoch: [24][3060/7045]	Time 0.102 (0.241)	Data 0.001 (0.179)	Loss 5.2012 (5.0033)	Prec@1 3.906 (4.767)	Prec@5 11.719 (16.248)
Epoch: [24][3070/7045]	Time 0.277 (0.241)	Data 0.226 (0.179)	Loss 5.1706 (5.0034)	Prec@1 2.344 (4.765)	Prec@5 12.500 (16.241)
Epoch: [24][3080/7045]	Time 0.102 (0.241)	Data 0.001 (0.179)	Loss 5.0837 (5.0034)	Prec@1 2.734 (4.766)	Prec@5 14.453 (16.243)
Epoch: [24][3090/7045]	Time 0.244 (0.241)	Data 0.191 (0.179)	Loss 5.1214 (5.0033)	Prec@1 3.125 (4.766)	Prec@5 7.812 (16.241)
Epoch: [24][3100/7045]	Time 0.102 (0.241)	Data 0.001 (0.179)	Loss 5.0671 (5.0032)	Prec@1 3.906 (4.766)	Prec@5 13.672 (16.242)
Epoch: [24][3110/7045]	Time 0.246 (0.241)	Data 0.196 (0.179)	Loss 4.9022 (5.0033)	Prec@1 4.688 (4.764)	Prec@5 17.578 (16.239)
Epoch: [24][3120/7045]	Time 0.102 (0.241)	Data 0.001 (0.179)	Loss 4.8771 (5.0033)	Prec@1 4.688 (4.762)	Prec@5 20.312 (16.235)
Epoch: [24][3130/7045]	Time 0.189 (0.241)	Data 0.138 (0.179)	Loss 4.9751 (5.0032)	Prec@1 3.516 (4.764)	Prec@5 14.453 (16.238)
Epoch: [24][3140/7045]	Time 0.102 (0.241)	Data 0.001 (0.179)	Loss 4.9665 (5.0032)	Prec@1 6.641 (4.766)	Prec@5 15.625 (16.239)
Epoch: [24][3150/7045]	Time 0.106 (0.241)	Data 0.009 (0.179)	Loss 4.8132 (5.0032)	Prec@1 9.766 (4.767)	Prec@5 20.703 (16.238)
Epoch: [24][3160/7045]	Time 0.101 (0.241)	Data 0.001 (0.178)	Loss 5.1105 (5.0033)	Prec@1 4.297 (4.767)	Prec@5 16.016 (16.237)
Epoch: [24][3170/7045]	Time 0.107 (0.241)	Data 0.004 (0.178)	Loss 5.0565 (5.0036)	Prec@1 3.906 (4.764)	Prec@5 13.281 (16.230)
Epoch: [24][3180/7045]	Time 0.237 (0.241)	Data 0.185 (0.178)	Loss 4.9396 (5.0037)	Prec@1 7.031 (4.764)	Prec@5 21.875 (16.229)
Epoch: [24][3190/7045]	Time 0.101 (0.241)	Data 0.001 (0.178)	Loss 4.9669 (5.0039)	Prec@1 4.688 (4.764)	Prec@5 17.188 (16.229)
Epoch: [24][3200/7045]	Time 0.452 (0.241)	Data 0.401 (0.178)	Loss 5.0794 (5.0042)	Prec@1 7.031 (4.762)	Prec@5 15.234 (16.225)
Epoch: [24][3210/7045]	Time 0.101 (0.241)	Data 0.044 (0.178)	Loss 5.0297 (5.0043)	Prec@1 2.734 (4.762)	Prec@5 17.578 (16.221)
Epoch: [24][3220/7045]	Time 0.737 (0.241)	Data 0.687 (0.179)	Loss 5.0020 (5.0044)	Prec@1 3.516 (4.762)	Prec@5 17.188 (16.222)
Epoch: [24][3230/7045]	Time 0.109 (0.241)	Data 0.001 (0.178)	Loss 5.0474 (5.0044)	Prec@1 3.516 (4.762)	Prec@5 14.844 (16.219)
Epoch: [24][3240/7045]	Time 0.637 (0.241)	Data 0.585 (0.178)	Loss 4.9191 (5.0045)	Prec@1 3.906 (4.759)	Prec@5 17.578 (16.215)
Epoch: [24][3250/7045]	Time 0.158 (0.241)	Data 0.102 (0.178)	Loss 5.0715 (5.0046)	Prec@1 5.859 (4.759)	Prec@5 15.625 (16.213)
Epoch: [24][3260/7045]	Time 0.522 (0.241)	Data 0.467 (0.178)	Loss 4.9632 (5.0047)	Prec@1 4.688 (4.757)	Prec@5 17.578 (16.211)
Epoch: [24][3270/7045]	Time 0.225 (0.241)	Data 0.175 (0.178)	Loss 4.8738 (5.0047)	Prec@1 5.078 (4.758)	Prec@5 19.141 (16.211)
Epoch: [24][3280/7045]	Time 0.255 (0.241)	Data 0.199 (0.178)	Loss 5.1833 (5.0047)	Prec@1 4.297 (4.760)	Prec@5 16.797 (16.210)
Epoch: [24][3290/7045]	Time 0.271 (0.241)	Data 0.220 (0.178)	Loss 5.0372 (5.0048)	Prec@1 3.516 (4.761)	Prec@5 16.016 (16.208)
Epoch: [24][3300/7045]	Time 0.107 (0.241)	Data 0.001 (0.178)	Loss 4.9868 (5.0049)	Prec@1 5.469 (4.760)	Prec@5 17.969 (16.204)
Epoch: [24][3310/7045]	Time 0.101 (0.241)	Data 0.050 (0.178)	Loss 5.0101 (5.0047)	Prec@1 5.469 (4.762)	Prec@5 15.625 (16.210)
Epoch: [24][3320/7045]	Time 0.105 (0.241)	Data 0.054 (0.178)	Loss 4.8990 (5.0047)	Prec@1 7.031 (4.761)	Prec@5 16.406 (16.209)
Epoch: [24][3330/7045]	Time 0.297 (0.241)	Data 0.246 (0.178)	Loss 4.9860 (5.0049)	Prec@1 2.734 (4.757)	Prec@5 16.016 (16.205)
Epoch: [24][3340/7045]	Time 0.104 (0.241)	Data 0.051 (0.178)	Loss 4.9586 (5.0048)	Prec@1 7.422 (4.758)	Prec@5 15.234 (16.207)
Epoch: [24][3350/7045]	Time 0.296 (0.241)	Data 0.247 (0.178)	Loss 5.0684 (5.0048)	Prec@1 5.859 (4.760)	Prec@5 16.016 (16.208)
Epoch: [24][3360/7045]	Time 0.110 (0.241)	Data 0.059 (0.178)	Loss 4.8888 (5.0046)	Prec@1 6.641 (4.762)	Prec@5 21.484 (16.212)
Epoch: [24][3370/7045]	Time 0.310 (0.241)	Data 0.259 (0.179)	Loss 5.0099 (5.0046)	Prec@1 4.688 (4.763)	Prec@5 18.359 (16.214)
Epoch: [24][3380/7045]	Time 0.101 (0.241)	Data 0.001 (0.178)	Loss 4.7625 (5.0045)	Prec@1 5.078 (4.766)	Prec@5 20.312 (16.217)
Epoch: [24][3390/7045]	Time 0.309 (0.241)	Data 0.258 (0.179)	Loss 5.0198 (5.0045)	Prec@1 4.297 (4.768)	Prec@5 18.359 (16.218)
Epoch: [24][3400/7045]	Time 0.163 (0.241)	Data 0.110 (0.179)	Loss 5.0397 (5.0046)	Prec@1 3.906 (4.769)	Prec@5 14.062 (16.216)
Epoch: [24][3410/7045]	Time 0.325 (0.241)	Data 0.272 (0.179)	Loss 4.8990 (5.0046)	Prec@1 5.078 (4.770)	Prec@5 19.141 (16.218)
Epoch: [24][3420/7045]	Time 0.387 (0.241)	Data 0.336 (0.179)	Loss 4.9673 (5.0047)	Prec@1 3.906 (4.770)	Prec@5 16.016 (16.215)
Epoch: [24][3430/7045]	Time 0.101 (0.241)	Data 0.044 (0.179)	Loss 5.1322 (5.0048)	Prec@1 4.688 (4.770)	Prec@5 14.453 (16.213)
Epoch: [24][3440/7045]	Time 0.416 (0.241)	Data 0.366 (0.179)	Loss 5.0601 (5.0048)	Prec@1 3.516 (4.770)	Prec@5 12.500 (16.210)
Epoch: [24][3450/7045]	Time 0.102 (0.241)	Data 0.003 (0.179)	Loss 5.0086 (5.0051)	Prec@1 6.250 (4.770)	Prec@5 19.922 (16.208)
Epoch: [24][3460/7045]	Time 0.456 (0.241)	Data 0.404 (0.179)	Loss 4.8983 (5.0050)	Prec@1 4.688 (4.770)	Prec@5 13.672 (16.206)
Epoch: [24][3470/7045]	Time 0.203 (0.241)	Data 0.152 (0.179)	Loss 4.9462 (5.0049)	Prec@1 3.906 (4.770)	Prec@5 19.531 (16.208)
Epoch: [24][3480/7045]	Time 0.395 (0.241)	Data 0.344 (0.179)	Loss 5.1280 (5.0051)	Prec@1 3.125 (4.768)	Prec@5 12.500 (16.204)
Epoch: [24][3490/7045]	Time 0.378 (0.241)	Data 0.320 (0.179)	Loss 5.0027 (5.0052)	Prec@1 3.906 (4.767)	Prec@5 17.188 (16.205)
Epoch: [24][3500/7045]	Time 0.333 (0.241)	Data 0.274 (0.179)	Loss 5.0911 (5.0053)	Prec@1 5.078 (4.766)	Prec@5 16.797 (16.205)
Epoch: [24][3510/7045]	Time 0.342 (0.241)	Data 0.291 (0.179)	Loss 5.1844 (5.0054)	Prec@1 3.125 (4.766)	Prec@5 13.672 (16.203)
Epoch: [24][3520/7045]	Time 0.115 (0.241)	Data 0.056 (0.179)	Loss 5.0658 (5.0055)	Prec@1 2.734 (4.765)	Prec@5 17.578 (16.201)
Epoch: [24][3530/7045]	Time 0.255 (0.241)	Data 0.204 (0.179)	Loss 4.9831 (5.0055)	Prec@1 3.906 (4.764)	Prec@5 16.016 (16.201)
Epoch: [24][3540/7045]	Time 0.119 (0.241)	Data 0.063 (0.179)	Loss 5.0265 (5.0056)	Prec@1 7.031 (4.762)	Prec@5 17.969 (16.200)
Epoch: [24][3550/7045]	Time 0.316 (0.241)	Data 0.265 (0.179)	Loss 4.9265 (5.0057)	Prec@1 8.203 (4.761)	Prec@5 20.312 (16.198)
Epoch: [24][3560/7045]	Time 0.107 (0.241)	Data 0.055 (0.179)	Loss 5.0006 (5.0060)	Prec@1 3.516 (4.757)	Prec@5 12.891 (16.191)
Epoch: [24][3570/7045]	Time 0.190 (0.241)	Data 0.140 (0.179)	Loss 5.0086 (5.0061)	Prec@1 3.125 (4.754)	Prec@5 13.672 (16.188)
Epoch: [24][3580/7045]	Time 0.101 (0.241)	Data 0.006 (0.179)	Loss 5.1285 (5.0062)	Prec@1 2.344 (4.753)	Prec@5 11.328 (16.188)
Epoch: [24][3590/7045]	Time 0.102 (0.241)	Data 0.003 (0.179)	Loss 4.9320 (5.0062)	Prec@1 5.859 (4.753)	Prec@5 16.016 (16.184)
Epoch: [24][3600/7045]	Time 0.100 (0.241)	Data 0.006 (0.179)	Loss 5.1242 (5.0065)	Prec@1 2.344 (4.750)	Prec@5 12.891 (16.178)
Epoch: [24][3610/7045]	Time 0.178 (0.241)	Data 0.126 (0.179)	Loss 5.1590 (5.0066)	Prec@1 3.125 (4.748)	Prec@5 13.672 (16.178)
Epoch: [24][3620/7045]	Time 0.108 (0.241)	Data 0.057 (0.179)	Loss 5.1952 (5.0065)	Prec@1 2.344 (4.746)	Prec@5 13.281 (16.180)
Epoch: [24][3630/7045]	Time 0.364 (0.241)	Data 0.314 (0.179)	Loss 4.9148 (5.0067)	Prec@1 7.422 (4.745)	Prec@5 17.188 (16.178)
Epoch: [24][3640/7045]	Time 0.416 (0.241)	Data 0.365 (0.179)	Loss 4.9775 (5.0070)	Prec@1 3.516 (4.743)	Prec@5 14.453 (16.172)
Epoch: [24][3650/7045]	Time 0.108 (0.241)	Data 0.001 (0.179)	Loss 4.9100 (5.0070)	Prec@1 5.859 (4.742)	Prec@5 20.703 (16.173)
Epoch: [24][3660/7045]	Time 0.235 (0.241)	Data 0.185 (0.179)	Loss 5.0627 (5.0071)	Prec@1 3.125 (4.738)	Prec@5 12.500 (16.168)
Epoch: [24][3670/7045]	Time 0.332 (0.241)	Data 0.280 (0.179)	Loss 5.0113 (5.0072)	Prec@1 5.469 (4.738)	Prec@5 15.625 (16.170)
Epoch: [24][3680/7045]	Time 0.170 (0.241)	Data 0.119 (0.179)	Loss 4.9710 (5.0074)	Prec@1 4.688 (4.737)	Prec@5 17.578 (16.167)
Epoch: [24][3690/7045]	Time 0.458 (0.241)	Data 0.407 (0.179)	Loss 5.0229 (5.0074)	Prec@1 3.906 (4.737)	Prec@5 13.672 (16.164)
Epoch: [24][3700/7045]	Time 0.319 (0.241)	Data 0.269 (0.179)	Loss 5.0015 (5.0074)	Prec@1 3.906 (4.738)	Prec@5 16.406 (16.168)
Epoch: [24][3710/7045]	Time 0.101 (0.241)	Data 0.048 (0.179)	Loss 5.0484 (5.0075)	Prec@1 3.125 (4.738)	Prec@5 14.453 (16.164)
Epoch: [24][3720/7045]	Time 0.107 (0.241)	Data 0.057 (0.179)	Loss 4.9193 (5.0075)	Prec@1 4.297 (4.737)	Prec@5 17.969 (16.162)
Epoch: [24][3730/7045]	Time 0.408 (0.241)	Data 0.357 (0.179)	Loss 5.0232 (5.0074)	Prec@1 5.859 (4.737)	Prec@5 17.188 (16.164)
Epoch: [24][3740/7045]	Time 0.104 (0.241)	Data 0.051 (0.179)	Loss 5.1552 (5.0076)	Prec@1 5.078 (4.737)	Prec@5 14.844 (16.162)
Epoch: [24][3750/7045]	Time 0.314 (0.241)	Data 0.263 (0.179)	Loss 4.9564 (5.0075)	Prec@1 5.469 (4.737)	Prec@5 16.406 (16.162)
Epoch: [24][3760/7045]	Time 0.249 (0.241)	Data 0.199 (0.179)	Loss 5.0667 (5.0074)	Prec@1 5.469 (4.741)	Prec@5 14.844 (16.168)
Epoch: [24][3770/7045]	Time 0.101 (0.241)	Data 0.001 (0.179)	Loss 5.0531 (5.0074)	Prec@1 4.297 (4.740)	Prec@5 16.406 (16.167)
Epoch: [24][3780/7045]	Time 0.192 (0.241)	Data 0.141 (0.179)	Loss 5.0599 (5.0074)	Prec@1 4.297 (4.741)	Prec@5 14.844 (16.167)
Epoch: [24][3790/7045]	Time 0.281 (0.241)	Data 0.230 (0.179)	Loss 4.9452 (5.0073)	Prec@1 6.641 (4.742)	Prec@5 19.922 (16.167)
Epoch: [24][3800/7045]	Time 0.252 (0.241)	Data 0.201 (0.179)	Loss 5.0280 (5.0074)	Prec@1 2.734 (4.740)	Prec@5 15.625 (16.167)
Epoch: [24][3810/7045]	Time 0.101 (0.241)	Data 0.003 (0.179)	Loss 4.9935 (5.0073)	Prec@1 6.250 (4.741)	Prec@5 18.359 (16.167)
Epoch: [24][3820/7045]	Time 0.683 (0.241)	Data 0.631 (0.179)	Loss 4.9783 (5.0073)	Prec@1 5.078 (4.743)	Prec@5 14.453 (16.167)
Epoch: [24][3830/7045]	Time 0.101 (0.241)	Data 0.006 (0.179)	Loss 4.9109 (5.0073)	Prec@1 5.859 (4.743)	Prec@5 17.188 (16.168)
Epoch: [24][3840/7045]	Time 0.522 (0.241)	Data 0.470 (0.179)	Loss 4.9739 (5.0072)	Prec@1 4.688 (4.744)	Prec@5 14.062 (16.169)
Epoch: [24][3850/7045]	Time 0.139 (0.241)	Data 0.088 (0.179)	Loss 4.9396 (5.0071)	Prec@1 3.906 (4.745)	Prec@5 16.016 (16.170)
Epoch: [24][3860/7045]	Time 0.101 (0.241)	Data 0.007 (0.179)	Loss 5.1433 (5.0071)	Prec@1 3.906 (4.747)	Prec@5 13.672 (16.170)
Epoch: [24][3870/7045]	Time 0.325 (0.241)	Data 0.274 (0.179)	Loss 4.9863 (5.0072)	Prec@1 4.688 (4.746)	Prec@5 14.062 (16.169)
Epoch: [24][3880/7045]	Time 0.240 (0.241)	Data 0.188 (0.179)	Loss 4.9072 (5.0072)	Prec@1 4.297 (4.746)	Prec@5 17.969 (16.167)
Epoch: [24][3890/7045]	Time 0.123 (0.241)	Data 0.072 (0.179)	Loss 4.9329 (5.0070)	Prec@1 3.516 (4.746)	Prec@5 17.578 (16.169)
Epoch: [24][3900/7045]	Time 0.101 (0.241)	Data 0.001 (0.179)	Loss 5.0150 (5.0069)	Prec@1 5.078 (4.748)	Prec@5 17.578 (16.171)
Epoch: [24][3910/7045]	Time 0.176 (0.241)	Data 0.118 (0.179)	Loss 4.8217 (5.0067)	Prec@1 6.641 (4.748)	Prec@5 20.703 (16.176)
Epoch: [24][3920/7045]	Time 0.248 (0.241)	Data 0.197 (0.179)	Loss 4.9330 (5.0066)	Prec@1 5.469 (4.750)	Prec@5 19.531 (16.178)
Epoch: [24][3930/7045]	Time 0.293 (0.241)	Data 0.241 (0.179)	Loss 5.0015 (5.0067)	Prec@1 5.469 (4.750)	Prec@5 15.625 (16.178)
Epoch: [24][3940/7045]	Time 0.449 (0.241)	Data 0.398 (0.179)	Loss 5.0191 (5.0066)	Prec@1 3.125 (4.750)	Prec@5 13.281 (16.176)
Epoch: [24][3950/7045]	Time 0.108 (0.241)	Data 0.056 (0.179)	Loss 5.0911 (5.0066)	Prec@1 4.688 (4.750)	Prec@5 15.625 (16.176)
Epoch: [24][3960/7045]	Time 0.213 (0.241)	Data 0.162 (0.179)	Loss 5.0703 (5.0067)	Prec@1 5.859 (4.751)	Prec@5 17.969 (16.177)
Epoch: [24][3970/7045]	Time 0.272 (0.241)	Data 0.220 (0.179)	Loss 4.9824 (5.0066)	Prec@1 4.297 (4.748)	Prec@5 17.578 (16.176)
Epoch: [24][3980/7045]	Time 0.101 (0.241)	Data 0.001 (0.179)	Loss 5.0295 (5.0067)	Prec@1 4.297 (4.747)	Prec@5 16.016 (16.174)
Epoch: [24][3990/7045]	Time 0.275 (0.241)	Data 0.225 (0.179)	Loss 5.0279 (5.0067)	Prec@1 4.297 (4.749)	Prec@5 16.797 (16.178)
Epoch: [24][4000/7045]	Time 0.292 (0.241)	Data 0.242 (0.179)	Loss 5.0627 (5.0067)	Prec@1 3.516 (4.749)	Prec@5 17.188 (16.181)
Epoch: [24][4010/7045]	Time 0.164 (0.241)	Data 0.113 (0.179)	Loss 5.1031 (5.0067)	Prec@1 3.516 (4.748)	Prec@5 11.328 (16.180)
Epoch: [24][4020/7045]	Time 0.254 (0.241)	Data 0.203 (0.179)	Loss 4.9584 (5.0068)	Prec@1 5.859 (4.749)	Prec@5 17.578 (16.179)
Epoch: [24][4030/7045]	Time 0.104 (0.241)	Data 0.052 (0.179)	Loss 4.9563 (5.0068)	Prec@1 5.859 (4.748)	Prec@5 17.969 (16.179)
Epoch: [24][4040/7045]	Time 0.264 (0.241)	Data 0.213 (0.179)	Loss 4.8967 (5.0067)	Prec@1 5.078 (4.749)	Prec@5 20.312 (16.184)
Epoch: [24][4050/7045]	Time 0.322 (0.241)	Data 0.271 (0.180)	Loss 4.9545 (5.0066)	Prec@1 3.516 (4.746)	Prec@5 16.016 (16.181)
Epoch: [24][4060/7045]	Time 0.254 (0.241)	Data 0.203 (0.180)	Loss 5.1140 (5.0067)	Prec@1 4.688 (4.745)	Prec@5 11.719 (16.179)
Epoch: [24][4070/7045]	Time 0.463 (0.241)	Data 0.411 (0.180)	Loss 5.0107 (5.0066)	Prec@1 3.125 (4.744)	Prec@5 13.672 (16.178)
Epoch: [24][4080/7045]	Time 0.101 (0.241)	Data 0.049 (0.180)	Loss 4.9239 (5.0066)	Prec@1 4.297 (4.743)	Prec@5 16.797 (16.179)
Epoch: [24][4090/7045]	Time 0.406 (0.241)	Data 0.354 (0.180)	Loss 4.9066 (5.0066)	Prec@1 5.469 (4.745)	Prec@5 15.234 (16.179)
Epoch: [24][4100/7045]	Time 0.124 (0.241)	Data 0.073 (0.180)	Loss 4.8024 (5.0064)	Prec@1 5.859 (4.745)	Prec@5 18.359 (16.182)
Epoch: [24][4110/7045]	Time 0.197 (0.241)	Data 0.147 (0.180)	Loss 4.9038 (5.0064)	Prec@1 5.078 (4.744)	Prec@5 17.188 (16.181)
Epoch: [24][4120/7045]	Time 0.313 (0.241)	Data 0.262 (0.180)	Loss 4.8879 (5.0064)	Prec@1 5.469 (4.743)	Prec@5 19.922 (16.180)
Epoch: [24][4130/7045]	Time 0.101 (0.241)	Data 0.045 (0.180)	Loss 4.9847 (5.0064)	Prec@1 3.125 (4.743)	Prec@5 13.672 (16.178)
Epoch: [24][4140/7045]	Time 0.297 (0.241)	Data 0.245 (0.180)	Loss 5.0327 (5.0064)	Prec@1 5.469 (4.743)	Prec@5 15.625 (16.179)
Epoch: [24][4150/7045]	Time 0.105 (0.241)	Data 0.051 (0.180)	Loss 5.0997 (5.0067)	Prec@1 5.078 (4.741)	Prec@5 16.406 (16.176)
Epoch: [24][4160/7045]	Time 0.326 (0.241)	Data 0.275 (0.180)	Loss 5.0205 (5.0068)	Prec@1 4.688 (4.740)	Prec@5 17.969 (16.174)
Epoch: [24][4170/7045]	Time 0.286 (0.241)	Data 0.235 (0.180)	Loss 4.9534 (5.0067)	Prec@1 5.469 (4.739)	Prec@5 15.234 (16.175)
Epoch: [24][4180/7045]	Time 0.196 (0.241)	Data 0.146 (0.180)	Loss 4.9947 (5.0068)	Prec@1 5.078 (4.738)	Prec@5 16.797 (16.173)
Epoch: [24][4190/7045]	Time 0.417 (0.241)	Data 0.358 (0.180)	Loss 5.1471 (5.0068)	Prec@1 4.297 (4.737)	Prec@5 13.281 (16.175)
Epoch: [24][4200/7045]	Time 0.102 (0.241)	Data 0.002 (0.180)	Loss 5.0737 (5.0069)	Prec@1 1.953 (4.736)	Prec@5 16.016 (16.174)
Epoch: [24][4210/7045]	Time 0.384 (0.241)	Data 0.332 (0.180)	Loss 5.0273 (5.0069)	Prec@1 4.297 (4.736)	Prec@5 14.453 (16.174)
Epoch: [24][4220/7045]	Time 0.102 (0.241)	Data 0.001 (0.180)	Loss 5.1056 (5.0069)	Prec@1 2.734 (4.735)	Prec@5 12.500 (16.174)
Epoch: [24][4230/7045]	Time 0.439 (0.241)	Data 0.388 (0.180)	Loss 4.9181 (5.0068)	Prec@1 3.516 (4.735)	Prec@5 16.016 (16.177)
Epoch: [24][4240/7045]	Time 0.101 (0.241)	Data 0.004 (0.180)	Loss 5.0587 (5.0068)	Prec@1 5.859 (4.734)	Prec@5 15.234 (16.175)
Epoch: [24][4250/7045]	Time 0.472 (0.241)	Data 0.422 (0.180)	Loss 5.1393 (5.0069)	Prec@1 3.906 (4.734)	Prec@5 14.062 (16.175)
Epoch: [24][4260/7045]	Time 0.102 (0.241)	Data 0.004 (0.180)	Loss 4.9844 (5.0070)	Prec@1 4.297 (4.734)	Prec@5 14.844 (16.172)
Epoch: [24][4270/7045]	Time 0.451 (0.241)	Data 0.400 (0.180)	Loss 5.0234 (5.0070)	Prec@1 3.906 (4.734)	Prec@5 16.016 (16.172)
Epoch: [24][4280/7045]	Time 0.101 (0.241)	Data 0.001 (0.180)	Loss 4.7785 (5.0069)	Prec@1 7.422 (4.736)	Prec@5 18.750 (16.174)
Epoch: [24][4290/7045]	Time 0.397 (0.241)	Data 0.347 (0.180)	Loss 4.8629 (5.0068)	Prec@1 4.688 (4.736)	Prec@5 19.141 (16.175)
Epoch: [24][4300/7045]	Time 0.101 (0.241)	Data 0.005 (0.180)	Loss 5.0728 (5.0067)	Prec@1 3.906 (4.737)	Prec@5 14.453 (16.180)
Epoch: [24][4310/7045]	Time 0.470 (0.241)	Data 0.414 (0.180)	Loss 4.8830 (5.0067)	Prec@1 3.906 (4.735)	Prec@5 17.969 (16.177)
Epoch: [24][4320/7045]	Time 0.102 (0.241)	Data 0.001 (0.180)	Loss 5.0160 (5.0067)	Prec@1 6.250 (4.734)	Prec@5 16.797 (16.176)
Epoch: [24][4330/7045]	Time 0.472 (0.241)	Data 0.421 (0.180)	Loss 5.0983 (5.0067)	Prec@1 3.906 (4.735)	Prec@5 12.891 (16.176)
Epoch: [24][4340/7045]	Time 0.102 (0.241)	Data 0.001 (0.179)	Loss 5.0694 (5.0067)	Prec@1 5.469 (4.734)	Prec@5 16.016 (16.177)
Epoch: [24][4350/7045]	Time 0.467 (0.241)	Data 0.415 (0.179)	Loss 5.1410 (5.0067)	Prec@1 4.297 (4.734)	Prec@5 10.938 (16.175)
Epoch: [24][4360/7045]	Time 0.101 (0.241)	Data 0.001 (0.179)	Loss 5.0080 (5.0067)	Prec@1 4.688 (4.733)	Prec@5 21.484 (16.174)
Epoch: [24][4370/7045]	Time 0.503 (0.241)	Data 0.452 (0.179)	Loss 5.0021 (5.0067)	Prec@1 3.906 (4.733)	Prec@5 14.453 (16.173)
Epoch: [24][4380/7045]	Time 0.101 (0.241)	Data 0.001 (0.179)	Loss 5.1229 (5.0069)	Prec@1 3.906 (4.733)	Prec@5 11.719 (16.169)
Epoch: [24][4390/7045]	Time 0.487 (0.241)	Data 0.435 (0.179)	Loss 5.1344 (5.0069)	Prec@1 5.859 (4.731)	Prec@5 14.453 (16.166)
Epoch: [24][4400/7045]	Time 0.102 (0.241)	Data 0.001 (0.179)	Loss 5.1522 (5.0071)	Prec@1 3.906 (4.730)	Prec@5 13.672 (16.164)
Epoch: [24][4410/7045]	Time 0.428 (0.241)	Data 0.370 (0.179)	Loss 4.9361 (5.0072)	Prec@1 2.344 (4.730)	Prec@5 15.234 (16.163)
Epoch: [24][4420/7045]	Time 0.102 (0.241)	Data 0.001 (0.179)	Loss 5.1231 (5.0072)	Prec@1 4.688 (4.729)	Prec@5 14.453 (16.165)
Epoch: [24][4430/7045]	Time 0.373 (0.241)	Data 0.323 (0.179)	Loss 4.9642 (5.0072)	Prec@1 6.250 (4.730)	Prec@5 18.359 (16.164)
Epoch: [24][4440/7045]	Time 0.101 (0.241)	Data 0.001 (0.179)	Loss 5.1588 (5.0073)	Prec@1 3.516 (4.730)	Prec@5 14.062 (16.160)
Epoch: [24][4450/7045]	Time 0.360 (0.241)	Data 0.308 (0.179)	Loss 4.9490 (5.0073)	Prec@1 3.906 (4.729)	Prec@5 14.453 (16.161)
Epoch: [24][4460/7045]	Time 0.101 (0.241)	Data 0.001 (0.179)	Loss 5.0367 (5.0074)	Prec@1 5.859 (4.728)	Prec@5 17.188 (16.159)
Epoch: [24][4470/7045]	Time 0.343 (0.241)	Data 0.286 (0.179)	Loss 5.0250 (5.0074)	Prec@1 4.297 (4.728)	Prec@5 15.234 (16.157)
Epoch: [24][4480/7045]	Time 0.101 (0.241)	Data 0.001 (0.179)	Loss 4.8846 (5.0074)	Prec@1 3.516 (4.728)	Prec@5 16.016 (16.157)
Epoch: [24][4490/7045]	Time 0.335 (0.241)	Data 0.284 (0.179)	Loss 5.0481 (5.0073)	Prec@1 4.297 (4.729)	Prec@5 14.844 (16.161)
Epoch: [24][4500/7045]	Time 0.102 (0.241)	Data 0.004 (0.179)	Loss 4.9563 (5.0072)	Prec@1 7.031 (4.730)	Prec@5 16.016 (16.161)
Epoch: [24][4510/7045]	Time 0.262 (0.241)	Data 0.207 (0.179)	Loss 4.9115 (5.0071)	Prec@1 3.125 (4.730)	Prec@5 17.188 (16.162)
Epoch: [24][4520/7045]	Time 0.102 (0.241)	Data 0.003 (0.179)	Loss 5.0442 (5.0071)	Prec@1 3.906 (4.729)	Prec@5 18.359 (16.163)
Epoch: [24][4530/7045]	Time 0.262 (0.241)	Data 0.204 (0.179)	Loss 4.9461 (5.0072)	Prec@1 4.688 (4.727)	Prec@5 20.312 (16.161)
Epoch: [24][4540/7045]	Time 0.105 (0.241)	Data 0.003 (0.179)	Loss 4.9710 (5.0072)	Prec@1 6.641 (4.727)	Prec@5 19.141 (16.161)
Epoch: [24][4550/7045]	Time 0.253 (0.241)	Data 0.202 (0.179)	Loss 4.9050 (5.0072)	Prec@1 3.516 (4.727)	Prec@5 14.062 (16.160)
Epoch: [24][4560/7045]	Time 0.103 (0.241)	Data 0.001 (0.179)	Loss 5.1156 (5.0074)	Prec@1 2.734 (4.725)	Prec@5 12.891 (16.156)
Epoch: [24][4570/7045]	Time 0.224 (0.241)	Data 0.173 (0.179)	Loss 5.0231 (5.0075)	Prec@1 4.297 (4.724)	Prec@5 14.844 (16.154)
Epoch: [24][4580/7045]	Time 0.101 (0.241)	Data 0.001 (0.179)	Loss 5.0486 (5.0075)	Prec@1 3.516 (4.724)	Prec@5 15.625 (16.154)
Epoch: [24][4590/7045]	Time 0.197 (0.241)	Data 0.146 (0.179)	Loss 5.0657 (5.0076)	Prec@1 4.297 (4.724)	Prec@5 15.234 (16.151)
Epoch: [24][4600/7045]	Time 0.101 (0.241)	Data 0.001 (0.179)	Loss 5.1997 (5.0077)	Prec@1 3.516 (4.724)	Prec@5 14.062 (16.151)
Epoch: [24][4610/7045]	Time 0.146 (0.241)	Data 0.094 (0.179)	Loss 4.8587 (5.0077)	Prec@1 7.422 (4.725)	Prec@5 18.359 (16.150)
Epoch: [24][4620/7045]	Time 0.102 (0.241)	Data 0.001 (0.179)	Loss 4.8733 (5.0078)	Prec@1 6.641 (4.725)	Prec@5 22.266 (16.150)
Epoch: [24][4630/7045]	Time 0.162 (0.241)	Data 0.110 (0.179)	Loss 5.1084 (5.0079)	Prec@1 4.688 (4.723)	Prec@5 13.672 (16.146)
Epoch: [24][4640/7045]	Time 0.103 (0.241)	Data 0.002 (0.179)	Loss 4.9795 (5.0079)	Prec@1 7.031 (4.724)	Prec@5 17.578 (16.143)
Epoch: [24][4650/7045]	Time 0.148 (0.241)	Data 0.097 (0.179)	Loss 5.0276 (5.0079)	Prec@1 3.906 (4.722)	Prec@5 18.750 (16.142)
Epoch: [24][4660/7045]	Time 0.102 (0.241)	Data 0.009 (0.179)	Loss 5.0742 (5.0079)	Prec@1 6.250 (4.723)	Prec@5 16.797 (16.144)
Epoch: [24][4670/7045]	Time 0.101 (0.241)	Data 0.046 (0.179)	Loss 4.9898 (5.0078)	Prec@1 5.469 (4.723)	Prec@5 18.359 (16.145)
Epoch: [24][4680/7045]	Time 0.119 (0.241)	Data 0.068 (0.179)	Loss 5.0948 (5.0078)	Prec@1 3.906 (4.722)	Prec@5 12.891 (16.144)
Epoch: [24][4690/7045]	Time 0.102 (0.241)	Data 0.005 (0.179)	Loss 4.9644 (5.0077)	Prec@1 5.078 (4.723)	Prec@5 19.531 (16.147)
Epoch: [24][4700/7045]	Time 0.115 (0.241)	Data 0.064 (0.179)	Loss 5.0609 (5.0076)	Prec@1 3.125 (4.723)	Prec@5 16.406 (16.149)
Epoch: [24][4710/7045]	Time 0.101 (0.241)	Data 0.005 (0.179)	Loss 4.9383 (5.0076)	Prec@1 3.516 (4.723)	Prec@5 16.406 (16.149)
Epoch: [24][4720/7045]	Time 0.101 (0.241)	Data 0.012 (0.179)	Loss 4.9520 (5.0076)	Prec@1 4.688 (4.724)	Prec@5 15.625 (16.150)
Epoch: [24][4730/7045]	Time 0.101 (0.241)	Data 0.003 (0.179)	Loss 5.1169 (5.0075)	Prec@1 3.125 (4.725)	Prec@5 14.062 (16.153)
Epoch: [24][4740/7045]	Time 0.102 (0.241)	Data 0.006 (0.179)	Loss 5.0323 (5.0074)	Prec@1 5.078 (4.725)	Prec@5 15.625 (16.152)
Epoch: [24][4750/7045]	Time 0.101 (0.241)	Data 0.002 (0.179)	Loss 5.1037 (5.0075)	Prec@1 3.906 (4.724)	Prec@5 18.750 (16.152)
Epoch: [24][4760/7045]	Time 0.108 (0.241)	Data 0.052 (0.179)	Loss 5.0027 (5.0075)	Prec@1 3.516 (4.724)	Prec@5 17.188 (16.151)
Epoch: [24][4770/7045]	Time 0.100 (0.241)	Data 0.010 (0.179)	Loss 4.8882 (5.0075)	Prec@1 5.078 (4.725)	Prec@5 17.578 (16.152)
Epoch: [24][4780/7045]	Time 0.115 (0.241)	Data 0.064 (0.179)	Loss 5.0178 (5.0074)	Prec@1 4.297 (4.724)	Prec@5 16.406 (16.153)
Epoch: [24][4790/7045]	Time 0.102 (0.241)	Data 0.001 (0.179)	Loss 5.0133 (5.0074)	Prec@1 3.906 (4.723)	Prec@5 14.062 (16.154)
Epoch: [24][4800/7045]	Time 0.144 (0.241)	Data 0.094 (0.179)	Loss 4.9263 (5.0074)	Prec@1 7.812 (4.723)	Prec@5 18.359 (16.152)
Epoch: [24][4810/7045]	Time 0.101 (0.241)	Data 0.005 (0.179)	Loss 4.8449 (5.0074)	Prec@1 5.078 (4.722)	Prec@5 19.141 (16.152)
Epoch: [24][4820/7045]	Time 0.165 (0.241)	Data 0.113 (0.179)	Loss 4.9174 (5.0075)	Prec@1 7.031 (4.721)	Prec@5 18.750 (16.151)
Epoch: [24][4830/7045]	Time 0.125 (0.241)	Data 0.074 (0.179)	Loss 5.0422 (5.0076)	Prec@1 3.516 (4.721)	Prec@5 14.062 (16.150)
Epoch: [24][4840/7045]	Time 0.129 (0.241)	Data 0.078 (0.179)	Loss 5.1759 (5.0078)	Prec@1 3.125 (4.719)	Prec@5 16.016 (16.148)
Epoch: [24][4850/7045]	Time 0.181 (0.241)	Data 0.130 (0.179)	Loss 5.0132 (5.0079)	Prec@1 7.031 (4.720)	Prec@5 16.016 (16.147)
Epoch: [24][4860/7045]	Time 0.107 (0.241)	Data 0.055 (0.179)	Loss 5.1385 (5.0079)	Prec@1 3.906 (4.718)	Prec@5 14.453 (16.146)
Epoch: [24][4870/7045]	Time 0.227 (0.241)	Data 0.175 (0.179)	Loss 5.0700 (5.0078)	Prec@1 3.906 (4.719)	Prec@5 17.188 (16.149)
Epoch: [24][4880/7045]	Time 0.124 (0.241)	Data 0.073 (0.179)	Loss 4.9787 (5.0078)	Prec@1 6.250 (4.719)	Prec@5 15.234 (16.149)
Epoch: [24][4890/7045]	Time 0.258 (0.241)	Data 0.207 (0.179)	Loss 4.8203 (5.0077)	Prec@1 4.688 (4.719)	Prec@5 17.578 (16.149)
Epoch: [24][4900/7045]	Time 0.121 (0.241)	Data 0.069 (0.179)	Loss 4.9024 (5.0077)	Prec@1 4.297 (4.719)	Prec@5 17.188 (16.150)
Epoch: [24][4910/7045]	Time 0.231 (0.241)	Data 0.179 (0.179)	Loss 4.9555 (5.0076)	Prec@1 5.469 (4.719)	Prec@5 13.281 (16.150)
Epoch: [24][4920/7045]	Time 0.148 (0.241)	Data 0.097 (0.179)	Loss 5.0573 (5.0077)	Prec@1 5.078 (4.719)	Prec@5 14.062 (16.149)
Epoch: [24][4930/7045]	Time 0.388 (0.241)	Data 0.330 (0.179)	Loss 5.0560 (5.0079)	Prec@1 2.734 (4.717)	Prec@5 11.719 (16.145)
Epoch: [24][4940/7045]	Time 0.107 (0.241)	Data 0.056 (0.179)	Loss 4.9696 (5.0078)	Prec@1 5.859 (4.718)	Prec@5 14.062 (16.146)
Epoch: [24][4950/7045]	Time 0.424 (0.241)	Data 0.372 (0.179)	Loss 4.9361 (5.0079)	Prec@1 5.078 (4.717)	Prec@5 17.969 (16.143)
Epoch: [24][4960/7045]	Time 0.102 (0.241)	Data 0.050 (0.179)	Loss 4.9581 (5.0079)	Prec@1 7.422 (4.718)	Prec@5 16.406 (16.143)
Epoch: [24][4970/7045]	Time 0.404 (0.241)	Data 0.352 (0.179)	Loss 5.0894 (5.0080)	Prec@1 2.734 (4.717)	Prec@5 14.453 (16.142)
Epoch: [24][4980/7045]	Time 0.163 (0.241)	Data 0.112 (0.179)	Loss 5.0692 (5.0081)	Prec@1 5.859 (4.717)	Prec@5 13.672 (16.140)
Epoch: [24][4990/7045]	Time 0.363 (0.241)	Data 0.312 (0.179)	Loss 5.1284 (5.0081)	Prec@1 3.516 (4.717)	Prec@5 12.891 (16.140)
Epoch: [24][5000/7045]	Time 0.195 (0.241)	Data 0.144 (0.179)	Loss 5.0055 (5.0082)	Prec@1 1.953 (4.717)	Prec@5 12.891 (16.137)
Epoch: [24][5010/7045]	Time 0.388 (0.241)	Data 0.335 (0.179)	Loss 4.9095 (5.0082)	Prec@1 6.641 (4.717)	Prec@5 17.969 (16.138)
Epoch: [24][5020/7045]	Time 0.194 (0.241)	Data 0.144 (0.179)	Loss 4.9984 (5.0082)	Prec@1 5.469 (4.716)	Prec@5 17.188 (16.135)
Epoch: [24][5030/7045]	Time 0.457 (0.241)	Data 0.406 (0.179)	Loss 4.9528 (5.0082)	Prec@1 7.422 (4.716)	Prec@5 17.969 (16.136)
Epoch: [24][5040/7045]	Time 0.112 (0.241)	Data 0.060 (0.179)	Loss 4.9233 (5.0081)	Prec@1 7.812 (4.717)	Prec@5 19.531 (16.137)
Epoch: [24][5050/7045]	Time 0.547 (0.241)	Data 0.491 (0.179)	Loss 5.1069 (5.0082)	Prec@1 1.953 (4.717)	Prec@5 14.844 (16.136)
Epoch: [24][5060/7045]	Time 0.101 (0.241)	Data 0.042 (0.179)	Loss 4.9715 (5.0083)	Prec@1 4.688 (4.716)	Prec@5 14.844 (16.134)
Epoch: [24][5070/7045]	Time 0.497 (0.241)	Data 0.445 (0.179)	Loss 4.9844 (5.0083)	Prec@1 3.906 (4.715)	Prec@5 14.453 (16.133)
Epoch: [24][5080/7045]	Time 0.157 (0.241)	Data 0.105 (0.179)	Loss 5.0008 (5.0083)	Prec@1 3.125 (4.716)	Prec@5 17.578 (16.133)
Epoch: [24][5090/7045]	Time 0.686 (0.241)	Data 0.635 (0.179)	Loss 4.8696 (5.0082)	Prec@1 5.469 (4.716)	Prec@5 15.234 (16.132)
Epoch: [24][5100/7045]	Time 0.103 (0.241)	Data 0.001 (0.179)	Loss 5.2345 (5.0082)	Prec@1 1.953 (4.715)	Prec@5 13.672 (16.131)
Epoch: [24][5110/7045]	Time 0.588 (0.241)	Data 0.536 (0.179)	Loss 5.3156 (5.0084)	Prec@1 2.344 (4.714)	Prec@5 11.719 (16.129)
Epoch: [24][5120/7045]	Time 0.098 (0.241)	Data 0.001 (0.179)	Loss 5.0568 (5.0085)	Prec@1 4.688 (4.713)	Prec@5 17.578 (16.129)
Epoch: [24][5130/7045]	Time 0.642 (0.241)	Data 0.590 (0.179)	Loss 4.9794 (5.0084)	Prec@1 7.031 (4.714)	Prec@5 14.844 (16.129)
Epoch: [24][5140/7045]	Time 0.102 (0.241)	Data 0.001 (0.178)	Loss 4.9171 (5.0084)	Prec@1 5.469 (4.714)	Prec@5 18.750 (16.129)
Epoch: [24][5150/7045]	Time 0.650 (0.241)	Data 0.600 (0.178)	Loss 5.0405 (5.0085)	Prec@1 4.297 (4.713)	Prec@5 14.062 (16.126)
Epoch: [24][5160/7045]	Time 0.103 (0.241)	Data 0.050 (0.178)	Loss 4.9997 (5.0086)	Prec@1 3.906 (4.712)	Prec@5 15.234 (16.125)
Epoch: [24][5170/7045]	Time 0.638 (0.241)	Data 0.587 (0.178)	Loss 5.1421 (5.0086)	Prec@1 4.688 (4.712)	Prec@5 12.891 (16.124)
Epoch: [24][5180/7045]	Time 0.102 (0.241)	Data 0.001 (0.178)	Loss 5.0034 (5.0087)	Prec@1 4.688 (4.711)	Prec@5 15.625 (16.122)
Epoch: [24][5190/7045]	Time 0.642 (0.241)	Data 0.589 (0.178)	Loss 4.9218 (5.0088)	Prec@1 3.516 (4.711)	Prec@5 14.062 (16.119)
Epoch: [24][5200/7045]	Time 0.107 (0.241)	Data 0.001 (0.178)	Loss 5.0274 (5.0089)	Prec@1 2.344 (4.710)	Prec@5 14.844 (16.117)
Epoch: [24][5210/7045]	Time 0.577 (0.241)	Data 0.525 (0.178)	Loss 4.9084 (5.0089)	Prec@1 5.859 (4.710)	Prec@5 17.188 (16.118)
Epoch: [24][5220/7045]	Time 0.107 (0.241)	Data 0.001 (0.178)	Loss 5.1725 (5.0088)	Prec@1 2.344 (4.710)	Prec@5 12.500 (16.120)
Epoch: [24][5230/7045]	Time 0.630 (0.241)	Data 0.578 (0.178)	Loss 4.9896 (5.0088)	Prec@1 7.422 (4.711)	Prec@5 17.969 (16.121)
Epoch: [24][5240/7045]	Time 0.110 (0.241)	Data 0.001 (0.178)	Loss 5.0154 (5.0087)	Prec@1 3.125 (4.710)	Prec@5 14.453 (16.120)
Epoch: [24][5250/7045]	Time 0.642 (0.241)	Data 0.590 (0.178)	Loss 4.8800 (5.0086)	Prec@1 4.688 (4.711)	Prec@5 17.188 (16.123)
Epoch: [24][5260/7045]	Time 0.108 (0.241)	Data 0.002 (0.178)	Loss 4.9725 (5.0085)	Prec@1 3.906 (4.712)	Prec@5 16.016 (16.125)
Epoch: [24][5270/7045]	Time 0.615 (0.241)	Data 0.555 (0.178)	Loss 5.0647 (5.0086)	Prec@1 5.078 (4.711)	Prec@5 16.797 (16.122)
Epoch: [24][5280/7045]	Time 0.107 (0.241)	Data 0.001 (0.178)	Loss 5.0948 (5.0088)	Prec@1 2.734 (4.710)	Prec@5 14.062 (16.118)
Epoch: [24][5290/7045]	Time 0.638 (0.241)	Data 0.582 (0.178)	Loss 5.0103 (5.0089)	Prec@1 3.516 (4.709)	Prec@5 16.016 (16.118)
Epoch: [24][5300/7045]	Time 0.107 (0.241)	Data 0.001 (0.178)	Loss 5.0318 (5.0088)	Prec@1 6.250 (4.711)	Prec@5 14.844 (16.118)
Epoch: [24][5310/7045]	Time 0.604 (0.241)	Data 0.552 (0.178)	Loss 4.9218 (5.0088)	Prec@1 5.859 (4.710)	Prec@5 16.406 (16.118)
Epoch: [24][5320/7045]	Time 0.110 (0.241)	Data 0.007 (0.178)	Loss 4.9789 (5.0088)	Prec@1 5.469 (4.711)	Prec@5 19.141 (16.117)
Epoch: [24][5330/7045]	Time 0.566 (0.241)	Data 0.513 (0.178)	Loss 4.9445 (5.0088)	Prec@1 3.516 (4.709)	Prec@5 16.797 (16.116)
Epoch: [24][5340/7045]	Time 0.107 (0.241)	Data 0.005 (0.178)	Loss 4.9623 (5.0088)	Prec@1 5.078 (4.709)	Prec@5 16.406 (16.116)
Epoch: [24][5350/7045]	Time 0.500 (0.241)	Data 0.449 (0.178)	Loss 4.9325 (5.0089)	Prec@1 7.031 (4.709)	Prec@5 16.406 (16.114)
Epoch: [24][5360/7045]	Time 0.106 (0.241)	Data 0.001 (0.178)	Loss 4.9608 (5.0089)	Prec@1 7.031 (4.709)	Prec@5 19.141 (16.112)
Epoch: [24][5370/7045]	Time 0.470 (0.241)	Data 0.419 (0.178)	Loss 5.1748 (5.0090)	Prec@1 1.953 (4.709)	Prec@5 16.016 (16.110)
Epoch: [24][5380/7045]	Time 0.101 (0.241)	Data 0.007 (0.178)	Loss 4.9749 (5.0089)	Prec@1 3.125 (4.710)	Prec@5 15.234 (16.111)
Epoch: [24][5390/7045]	Time 0.480 (0.241)	Data 0.429 (0.178)	Loss 4.9918 (5.0089)	Prec@1 4.688 (4.710)	Prec@5 17.578 (16.113)
Epoch: [24][5400/7045]	Time 0.101 (0.241)	Data 0.005 (0.178)	Loss 4.7693 (5.0088)	Prec@1 7.031 (4.711)	Prec@5 21.094 (16.115)
Epoch: [24][5410/7045]	Time 0.441 (0.241)	Data 0.388 (0.178)	Loss 4.9108 (5.0088)	Prec@1 5.469 (4.712)	Prec@5 20.703 (16.116)
Epoch: [24][5420/7045]	Time 0.100 (0.240)	Data 0.007 (0.178)	Loss 4.9541 (5.0089)	Prec@1 5.078 (4.711)	Prec@5 16.016 (16.114)
Epoch: [24][5430/7045]	Time 0.377 (0.241)	Data 0.326 (0.178)	Loss 4.9650 (5.0089)	Prec@1 4.688 (4.710)	Prec@5 15.625 (16.113)
Epoch: [24][5440/7045]	Time 0.101 (0.240)	Data 0.005 (0.178)	Loss 4.9203 (5.0088)	Prec@1 6.250 (4.711)	Prec@5 19.531 (16.116)
Epoch: [24][5450/7045]	Time 0.340 (0.240)	Data 0.289 (0.178)	Loss 4.9103 (5.0088)	Prec@1 5.078 (4.711)	Prec@5 19.141 (16.117)
Epoch: [24][5460/7045]	Time 0.101 (0.240)	Data 0.007 (0.178)	Loss 4.9087 (5.0088)	Prec@1 5.859 (4.710)	Prec@5 19.922 (16.117)
Epoch: [24][5470/7045]	Time 0.319 (0.240)	Data 0.268 (0.178)	Loss 4.9598 (5.0089)	Prec@1 6.641 (4.709)	Prec@5 17.188 (16.114)
Epoch: [24][5480/7045]	Time 0.101 (0.240)	Data 0.002 (0.178)	Loss 4.8940 (5.0088)	Prec@1 7.422 (4.709)	Prec@5 20.703 (16.113)
Epoch: [24][5490/7045]	Time 0.307 (0.240)	Data 0.255 (0.178)	Loss 4.9647 (5.0088)	Prec@1 3.906 (4.709)	Prec@5 14.062 (16.112)
Epoch: [24][5500/7045]	Time 0.102 (0.240)	Data 0.001 (0.178)	Loss 5.0192 (5.0088)	Prec@1 5.469 (4.709)	Prec@5 14.844 (16.111)
Epoch: [24][5510/7045]	Time 0.328 (0.240)	Data 0.277 (0.178)	Loss 5.0397 (5.0088)	Prec@1 5.859 (4.709)	Prec@5 16.016 (16.112)
Epoch: [24][5520/7045]	Time 0.102 (0.240)	Data 0.003 (0.178)	Loss 5.0346 (5.0087)	Prec@1 4.688 (4.710)	Prec@5 12.500 (16.113)
Epoch: [24][5530/7045]	Time 0.343 (0.240)	Data 0.290 (0.178)	Loss 5.0397 (5.0086)	Prec@1 6.250 (4.712)	Prec@5 15.234 (16.116)
Epoch: [24][5540/7045]	Time 0.102 (0.240)	Data 0.013 (0.178)	Loss 4.9974 (5.0085)	Prec@1 4.688 (4.712)	Prec@5 19.141 (16.116)
Epoch: [24][5550/7045]	Time 0.289 (0.240)	Data 0.238 (0.178)	Loss 5.0106 (5.0084)	Prec@1 3.906 (4.711)	Prec@5 16.016 (16.114)
Epoch: [24][5560/7045]	Time 0.100 (0.240)	Data 0.045 (0.178)	Loss 4.9307 (5.0084)	Prec@1 5.078 (4.711)	Prec@5 19.922 (16.114)
Epoch: [24][5570/7045]	Time 0.295 (0.240)	Data 0.244 (0.178)	Loss 5.1184 (5.0084)	Prec@1 4.297 (4.712)	Prec@5 14.062 (16.113)
Epoch: [24][5580/7045]	Time 0.102 (0.240)	Data 0.046 (0.178)	Loss 4.9364 (5.0086)	Prec@1 3.906 (4.710)	Prec@5 15.234 (16.110)
Epoch: [24][5590/7045]	Time 0.271 (0.240)	Data 0.220 (0.178)	Loss 5.1459 (5.0087)	Prec@1 6.250 (4.711)	Prec@5 15.234 (16.107)
Epoch: [24][5600/7045]	Time 0.101 (0.240)	Data 0.047 (0.178)	Loss 4.9934 (5.0088)	Prec@1 5.859 (4.711)	Prec@5 19.531 (16.105)
Epoch: [24][5610/7045]	Time 0.296 (0.240)	Data 0.244 (0.178)	Loss 4.9332 (5.0088)	Prec@1 5.078 (4.711)	Prec@5 17.578 (16.105)
Epoch: [24][5620/7045]	Time 0.103 (0.240)	Data 0.052 (0.178)	Loss 5.0745 (5.0088)	Prec@1 3.906 (4.710)	Prec@5 16.016 (16.103)
Epoch: [24][5630/7045]	Time 0.282 (0.240)	Data 0.232 (0.178)	Loss 5.0961 (5.0089)	Prec@1 2.344 (4.709)	Prec@5 14.453 (16.103)
Epoch: [24][5640/7045]	Time 0.108 (0.240)	Data 0.055 (0.178)	Loss 4.9315 (5.0089)	Prec@1 5.078 (4.709)	Prec@5 17.578 (16.103)
Epoch: [24][5650/7045]	Time 0.244 (0.240)	Data 0.193 (0.178)	Loss 4.9473 (5.0088)	Prec@1 7.422 (4.710)	Prec@5 16.406 (16.105)
Epoch: [24][5660/7045]	Time 0.102 (0.240)	Data 0.007 (0.178)	Loss 5.0350 (5.0088)	Prec@1 4.297 (4.710)	Prec@5 16.406 (16.106)
Epoch: [24][5670/7045]	Time 0.103 (0.240)	Data 0.050 (0.178)	Loss 5.0359 (5.0087)	Prec@1 6.250 (4.710)	Prec@5 14.844 (16.107)
Epoch: [24][5680/7045]	Time 0.101 (0.240)	Data 0.012 (0.178)	Loss 4.9202 (5.0086)	Prec@1 7.031 (4.711)	Prec@5 19.531 (16.108)
Epoch: [24][5690/7045]	Time 0.136 (0.240)	Data 0.085 (0.178)	Loss 4.8553 (5.0085)	Prec@1 5.078 (4.711)	Prec@5 20.312 (16.112)
Epoch: [24][5700/7045]	Time 0.132 (0.240)	Data 0.080 (0.178)	Loss 4.8820 (5.0083)	Prec@1 5.078 (4.712)	Prec@5 19.141 (16.114)
Epoch: [24][5710/7045]	Time 0.120 (0.240)	Data 0.068 (0.178)	Loss 5.0681 (5.0083)	Prec@1 4.297 (4.711)	Prec@5 17.188 (16.115)
Epoch: [24][5720/7045]	Time 0.099 (0.240)	Data 0.047 (0.178)	Loss 5.0556 (5.0083)	Prec@1 4.297 (4.712)	Prec@5 14.844 (16.115)
Epoch: [24][5730/7045]	Time 0.101 (0.240)	Data 0.048 (0.178)	Loss 4.9079 (5.0082)	Prec@1 8.594 (4.712)	Prec@5 20.312 (16.117)
Epoch: [24][5740/7045]	Time 0.102 (0.240)	Data 0.048 (0.178)	Loss 4.9394 (5.0082)	Prec@1 5.078 (4.713)	Prec@5 18.750 (16.118)
Epoch: [24][5750/7045]	Time 0.100 (0.240)	Data 0.048 (0.178)	Loss 5.0306 (5.0083)	Prec@1 3.125 (4.713)	Prec@5 13.281 (16.114)
Epoch: [24][5760/7045]	Time 0.101 (0.240)	Data 0.001 (0.178)	Loss 4.9364 (5.0083)	Prec@1 2.734 (4.712)	Prec@5 14.062 (16.113)
Epoch: [24][5770/7045]	Time 0.112 (0.240)	Data 0.059 (0.178)	Loss 4.7741 (5.0082)	Prec@1 5.469 (4.712)	Prec@5 20.312 (16.114)
Epoch: [24][5780/7045]	Time 0.102 (0.240)	Data 0.007 (0.178)	Loss 5.0288 (5.0082)	Prec@1 4.688 (4.711)	Prec@5 17.969 (16.113)
Epoch: [24][5790/7045]	Time 0.112 (0.240)	Data 0.061 (0.178)	Loss 5.0484 (5.0082)	Prec@1 4.688 (4.710)	Prec@5 16.797 (16.112)
Epoch: [24][5800/7045]	Time 0.101 (0.240)	Data 0.009 (0.178)	Loss 4.9947 (5.0084)	Prec@1 3.125 (4.710)	Prec@5 14.844 (16.109)
Epoch: [24][5810/7045]	Time 0.144 (0.240)	Data 0.094 (0.178)	Loss 4.9889 (5.0083)	Prec@1 5.078 (4.710)	Prec@5 14.844 (16.109)
Epoch: [24][5820/7045]	Time 0.100 (0.240)	Data 0.048 (0.178)	Loss 4.9366 (5.0083)	Prec@1 4.688 (4.710)	Prec@5 14.453 (16.110)
Epoch: [24][5830/7045]	Time 0.103 (0.240)	Data 0.051 (0.178)	Loss 5.0437 (5.0082)	Prec@1 4.688 (4.711)	Prec@5 19.141 (16.112)
Epoch: [24][5840/7045]	Time 0.101 (0.240)	Data 0.046 (0.178)	Loss 5.0747 (5.0083)	Prec@1 5.078 (4.711)	Prec@5 14.453 (16.110)
Epoch: [24][5850/7045]	Time 0.103 (0.240)	Data 0.008 (0.178)	Loss 5.0834 (5.0083)	Prec@1 1.953 (4.711)	Prec@5 12.109 (16.109)
Epoch: [24][5860/7045]	Time 0.098 (0.240)	Data 0.046 (0.178)	Loss 5.1376 (5.0084)	Prec@1 7.031 (4.711)	Prec@5 15.625 (16.108)
Epoch: [24][5870/7045]	Time 0.108 (0.240)	Data 0.055 (0.178)	Loss 5.0070 (5.0085)	Prec@1 3.516 (4.710)	Prec@5 15.234 (16.105)
Epoch: [24][5880/7045]	Time 0.100 (0.240)	Data 0.045 (0.178)	Loss 5.0550 (5.0085)	Prec@1 4.297 (4.709)	Prec@5 16.406 (16.104)
Epoch: [24][5890/7045]	Time 0.340 (0.240)	Data 0.288 (0.178)	Loss 4.8691 (5.0085)	Prec@1 5.859 (4.709)	Prec@5 17.188 (16.108)
Epoch: [24][5900/7045]	Time 0.101 (0.240)	Data 0.050 (0.178)	Loss 5.0752 (5.0085)	Prec@1 5.469 (4.709)	Prec@5 12.891 (16.106)
Epoch: [24][5910/7045]	Time 0.516 (0.240)	Data 0.464 (0.178)	Loss 4.9194 (5.0084)	Prec@1 4.688 (4.710)	Prec@5 16.016 (16.107)
Epoch: [24][5920/7045]	Time 0.102 (0.240)	Data 0.001 (0.178)	Loss 4.7949 (5.0082)	Prec@1 5.469 (4.712)	Prec@5 19.141 (16.110)
Epoch: [24][5930/7045]	Time 0.513 (0.240)	Data 0.462 (0.178)	Loss 4.9121 (5.0082)	Prec@1 7.031 (4.712)	Prec@5 14.062 (16.111)
Epoch: [24][5940/7045]	Time 0.193 (0.240)	Data 0.142 (0.178)	Loss 5.0093 (5.0081)	Prec@1 5.469 (4.711)	Prec@5 17.188 (16.111)
Epoch: [24][5950/7045]	Time 0.488 (0.240)	Data 0.438 (0.178)	Loss 5.1844 (5.0081)	Prec@1 1.953 (4.711)	Prec@5 13.281 (16.112)
Epoch: [24][5960/7045]	Time 0.292 (0.240)	Data 0.241 (0.178)	Loss 4.8630 (5.0081)	Prec@1 6.641 (4.711)	Prec@5 19.531 (16.112)
Epoch: [24][5970/7045]	Time 0.353 (0.240)	Data 0.301 (0.178)	Loss 4.9367 (5.0080)	Prec@1 6.250 (4.712)	Prec@5 19.141 (16.114)
Epoch: [24][5980/7045]	Time 0.319 (0.240)	Data 0.267 (0.178)	Loss 5.1750 (5.0080)	Prec@1 3.906 (4.713)	Prec@5 14.453 (16.115)
Epoch: [24][5990/7045]	Time 0.104 (0.240)	Data 0.051 (0.178)	Loss 5.1299 (5.0080)	Prec@1 3.125 (4.712)	Prec@5 14.844 (16.115)
Epoch: [24][6000/7045]	Time 0.238 (0.240)	Data 0.186 (0.178)	Loss 4.9285 (5.0081)	Prec@1 4.297 (4.711)	Prec@5 21.094 (16.114)
Epoch: [24][6010/7045]	Time 0.153 (0.240)	Data 0.102 (0.178)	Loss 5.0482 (5.0081)	Prec@1 5.469 (4.711)	Prec@5 16.797 (16.114)
Epoch: [24][6020/7045]	Time 0.160 (0.240)	Data 0.109 (0.178)	Loss 5.0727 (5.0081)	Prec@1 3.125 (4.711)	Prec@5 15.234 (16.114)
Epoch: [24][6030/7045]	Time 0.101 (0.240)	Data 0.006 (0.178)	Loss 4.9518 (5.0080)	Prec@1 4.297 (4.711)	Prec@5 17.188 (16.115)
Epoch: [24][6040/7045]	Time 0.102 (0.240)	Data 0.002 (0.178)	Loss 4.9980 (5.0080)	Prec@1 4.688 (4.711)	Prec@5 17.188 (16.114)
Epoch: [24][6050/7045]	Time 0.172 (0.240)	Data 0.121 (0.178)	Loss 4.9988 (5.0080)	Prec@1 5.469 (4.712)	Prec@5 14.844 (16.114)
Epoch: [24][6060/7045]	Time 0.282 (0.240)	Data 0.232 (0.178)	Loss 5.0013 (5.0080)	Prec@1 4.297 (4.712)	Prec@5 15.234 (16.115)
Epoch: [24][6070/7045]	Time 0.123 (0.240)	Data 0.072 (0.178)	Loss 4.7473 (5.0079)	Prec@1 6.641 (4.713)	Prec@5 23.438 (16.118)
Epoch: [24][6080/7045]	Time 0.478 (0.240)	Data 0.426 (0.178)	Loss 5.0121 (5.0079)	Prec@1 3.906 (4.712)	Prec@5 15.625 (16.116)
Epoch: [24][6090/7045]	Time 0.108 (0.240)	Data 0.056 (0.178)	Loss 5.1017 (5.0080)	Prec@1 6.250 (4.712)	Prec@5 16.016 (16.114)
Epoch: [24][6100/7045]	Time 0.586 (0.240)	Data 0.529 (0.178)	Loss 5.0341 (5.0080)	Prec@1 4.297 (4.712)	Prec@5 15.234 (16.114)
Epoch: [24][6110/7045]	Time 0.108 (0.240)	Data 0.001 (0.178)	Loss 5.0565 (5.0080)	Prec@1 3.906 (4.712)	Prec@5 15.234 (16.113)
Epoch: [24][6120/7045]	Time 0.571 (0.240)	Data 0.520 (0.178)	Loss 5.0126 (5.0080)	Prec@1 6.641 (4.713)	Prec@5 15.625 (16.113)
Epoch: [24][6130/7045]	Time 0.307 (0.240)	Data 0.254 (0.178)	Loss 5.0416 (5.0081)	Prec@1 5.469 (4.714)	Prec@5 19.141 (16.114)
Epoch: [24][6140/7045]	Time 0.463 (0.240)	Data 0.408 (0.178)	Loss 5.1283 (5.0081)	Prec@1 4.297 (4.715)	Prec@5 14.062 (16.114)
Epoch: [24][6150/7045]	Time 0.301 (0.240)	Data 0.250 (0.178)	Loss 5.0537 (5.0081)	Prec@1 6.250 (4.715)	Prec@5 14.062 (16.113)
Epoch: [24][6160/7045]	Time 0.463 (0.240)	Data 0.412 (0.178)	Loss 5.0737 (5.0081)	Prec@1 4.297 (4.716)	Prec@5 16.016 (16.114)
Epoch: [24][6170/7045]	Time 0.221 (0.240)	Data 0.165 (0.178)	Loss 4.9910 (5.0081)	Prec@1 6.250 (4.716)	Prec@5 15.625 (16.114)
Epoch: [24][6180/7045]	Time 0.470 (0.240)	Data 0.420 (0.178)	Loss 4.9458 (5.0080)	Prec@1 5.078 (4.716)	Prec@5 16.797 (16.117)
Epoch: [24][6190/7045]	Time 0.213 (0.240)	Data 0.152 (0.178)	Loss 5.1342 (5.0080)	Prec@1 3.516 (4.716)	Prec@5 16.016 (16.118)
Epoch: [24][6200/7045]	Time 0.461 (0.240)	Data 0.409 (0.178)	Loss 5.1986 (5.0080)	Prec@1 4.688 (4.716)	Prec@5 16.016 (16.121)
Epoch: [24][6210/7045]	Time 0.191 (0.240)	Data 0.141 (0.178)	Loss 5.0304 (5.0081)	Prec@1 3.906 (4.716)	Prec@5 14.453 (16.120)
Epoch: [24][6220/7045]	Time 0.424 (0.240)	Data 0.373 (0.178)	Loss 4.9821 (5.0081)	Prec@1 5.078 (4.715)	Prec@5 16.016 (16.121)
Epoch: [24][6230/7045]	Time 0.162 (0.240)	Data 0.110 (0.178)	Loss 5.0374 (5.0081)	Prec@1 2.734 (4.715)	Prec@5 14.844 (16.121)
Epoch: [24][6240/7045]	Time 0.429 (0.240)	Data 0.379 (0.178)	Loss 4.9119 (5.0081)	Prec@1 5.078 (4.715)	Prec@5 14.844 (16.121)
Epoch: [24][6250/7045]	Time 0.154 (0.240)	Data 0.102 (0.178)	Loss 4.9747 (5.0081)	Prec@1 5.078 (4.715)	Prec@5 16.797 (16.119)
Epoch: [24][6260/7045]	Time 0.386 (0.240)	Data 0.334 (0.178)	Loss 5.1060 (5.0082)	Prec@1 5.078 (4.715)	Prec@5 12.891 (16.119)
Epoch: [24][6270/7045]	Time 0.231 (0.240)	Data 0.179 (0.178)	Loss 5.1984 (5.0083)	Prec@1 4.688 (4.716)	Prec@5 11.719 (16.121)
Epoch: [24][6280/7045]	Time 0.364 (0.240)	Data 0.314 (0.178)	Loss 5.0522 (5.0083)	Prec@1 3.125 (4.715)	Prec@5 11.719 (16.120)
Epoch: [24][6290/7045]	Time 0.261 (0.240)	Data 0.204 (0.178)	Loss 5.0371 (5.0084)	Prec@1 4.688 (4.714)	Prec@5 16.016 (16.118)
Epoch: [24][6300/7045]	Time 0.366 (0.240)	Data 0.314 (0.178)	Loss 5.0711 (5.0084)	Prec@1 3.906 (4.714)	Prec@5 14.453 (16.118)
Epoch: [24][6310/7045]	Time 0.274 (0.240)	Data 0.216 (0.178)	Loss 5.0011 (5.0085)	Prec@1 3.125 (4.714)	Prec@5 15.234 (16.116)
Epoch: [24][6320/7045]	Time 0.402 (0.240)	Data 0.352 (0.178)	Loss 5.0215 (5.0084)	Prec@1 4.688 (4.714)	Prec@5 16.016 (16.117)
Epoch: [24][6330/7045]	Time 0.226 (0.240)	Data 0.175 (0.178)	Loss 4.8994 (5.0084)	Prec@1 4.297 (4.714)	Prec@5 21.484 (16.118)
Epoch: [24][6340/7045]	Time 0.403 (0.240)	Data 0.353 (0.178)	Loss 5.1023 (5.0083)	Prec@1 3.125 (4.715)	Prec@5 12.500 (16.119)
Epoch: [24][6350/7045]	Time 0.208 (0.240)	Data 0.157 (0.178)	Loss 5.0094 (5.0082)	Prec@1 4.688 (4.717)	Prec@5 17.969 (16.123)
Epoch: [24][6360/7045]	Time 0.305 (0.240)	Data 0.255 (0.178)	Loss 5.0465 (5.0081)	Prec@1 5.078 (4.718)	Prec@5 14.062 (16.124)
Epoch: [24][6370/7045]	Time 0.195 (0.240)	Data 0.145 (0.178)	Loss 5.0111 (5.0081)	Prec@1 4.688 (4.717)	Prec@5 15.234 (16.124)
Epoch: [24][6380/7045]	Time 0.278 (0.240)	Data 0.227 (0.178)	Loss 4.8334 (5.0080)	Prec@1 6.641 (4.718)	Prec@5 20.703 (16.125)
Epoch: [24][6390/7045]	Time 0.168 (0.240)	Data 0.117 (0.178)	Loss 5.0603 (5.0080)	Prec@1 4.688 (4.717)	Prec@5 17.188 (16.124)
Epoch: [24][6400/7045]	Time 0.239 (0.240)	Data 0.189 (0.178)	Loss 4.8866 (5.0080)	Prec@1 8.203 (4.717)	Prec@5 21.094 (16.124)
Epoch: [24][6410/7045]	Time 0.209 (0.240)	Data 0.159 (0.178)	Loss 5.1289 (5.0080)	Prec@1 3.516 (4.717)	Prec@5 14.844 (16.125)
Epoch: [24][6420/7045]	Time 0.201 (0.240)	Data 0.150 (0.178)	Loss 4.9511 (5.0080)	Prec@1 5.859 (4.717)	Prec@5 14.062 (16.125)
Epoch: [24][6430/7045]	Time 0.174 (0.240)	Data 0.123 (0.178)	Loss 4.9392 (5.0079)	Prec@1 5.078 (4.716)	Prec@5 18.359 (16.126)
Epoch: [24][6440/7045]	Time 0.207 (0.240)	Data 0.157 (0.178)	Loss 5.0060 (5.0078)	Prec@1 3.906 (4.717)	Prec@5 16.406 (16.129)
Epoch: [24][6450/7045]	Time 0.146 (0.240)	Data 0.094 (0.178)	Loss 4.8123 (5.0077)	Prec@1 7.422 (4.719)	Prec@5 19.141 (16.131)
Epoch: [24][6460/7045]	Time 0.191 (0.240)	Data 0.140 (0.178)	Loss 4.7824 (5.0075)	Prec@1 6.641 (4.720)	Prec@5 18.750 (16.133)
Epoch: [24][6470/7045]	Time 0.140 (0.240)	Data 0.088 (0.178)	Loss 5.0031 (5.0075)	Prec@1 3.516 (4.720)	Prec@5 14.062 (16.133)
Epoch: [24][6480/7045]	Time 0.195 (0.240)	Data 0.144 (0.178)	Loss 5.0517 (5.0076)	Prec@1 3.125 (4.720)	Prec@5 13.672 (16.132)
Epoch: [24][6490/7045]	Time 0.146 (0.240)	Data 0.095 (0.178)	Loss 4.9228 (5.0075)	Prec@1 5.469 (4.721)	Prec@5 18.750 (16.134)
Epoch: [24][6500/7045]	Time 0.178 (0.240)	Data 0.127 (0.178)	Loss 5.1018 (5.0075)	Prec@1 3.906 (4.720)	Prec@5 14.453 (16.134)
Epoch: [24][6510/7045]	Time 0.135 (0.240)	Data 0.085 (0.178)	Loss 4.9934 (5.0075)	Prec@1 4.688 (4.721)	Prec@5 16.406 (16.136)
Epoch: [24][6520/7045]	Time 0.158 (0.240)	Data 0.108 (0.178)	Loss 4.9815 (5.0074)	Prec@1 5.078 (4.722)	Prec@5 17.969 (16.136)
Epoch: [24][6530/7045]	Time 0.150 (0.240)	Data 0.099 (0.178)	Loss 5.1300 (5.0075)	Prec@1 4.688 (4.721)	Prec@5 12.500 (16.134)
Epoch: [24][6540/7045]	Time 0.155 (0.240)	Data 0.103 (0.178)	Loss 5.0210 (5.0076)	Prec@1 3.906 (4.720)	Prec@5 14.062 (16.131)
Epoch: [24][6550/7045]	Time 0.118 (0.240)	Data 0.066 (0.178)	Loss 4.9356 (5.0076)	Prec@1 4.297 (4.719)	Prec@5 16.016 (16.130)
Epoch: [24][6560/7045]	Time 0.108 (0.240)	Data 0.055 (0.178)	Loss 5.0418 (5.0075)	Prec@1 4.688 (4.719)	Prec@5 15.625 (16.130)
Epoch: [24][6570/7045]	Time 0.103 (0.240)	Data 0.051 (0.178)	Loss 5.1104 (5.0075)	Prec@1 4.688 (4.719)	Prec@5 15.234 (16.130)
Epoch: [24][6580/7045]	Time 0.124 (0.240)	Data 0.072 (0.178)	Loss 5.1760 (5.0074)	Prec@1 1.953 (4.718)	Prec@5 8.984 (16.131)
Epoch: [24][6590/7045]	Time 0.272 (0.240)	Data 0.221 (0.178)	Loss 4.8663 (5.0074)	Prec@1 7.812 (4.718)	Prec@5 18.359 (16.130)
Epoch: [24][6600/7045]	Time 0.102 (0.240)	Data 0.001 (0.178)	Loss 5.0487 (5.0075)	Prec@1 4.688 (4.718)	Prec@5 14.453 (16.128)
Epoch: [24][6610/7045]	Time 0.288 (0.240)	Data 0.237 (0.178)	Loss 4.9874 (5.0074)	Prec@1 4.297 (4.718)	Prec@5 17.188 (16.128)
Epoch: [24][6620/7045]	Time 0.170 (0.240)	Data 0.119 (0.178)	Loss 4.9134 (5.0073)	Prec@1 7.031 (4.719)	Prec@5 22.656 (16.129)
Epoch: [24][6630/7045]	Time 0.331 (0.240)	Data 0.274 (0.178)	Loss 4.9187 (5.0073)	Prec@1 6.641 (4.719)	Prec@5 19.922 (16.132)
Epoch: [24][6640/7045]	Time 0.448 (0.240)	Data 0.390 (0.178)	Loss 4.8731 (5.0072)	Prec@1 6.250 (4.720)	Prec@5 21.094 (16.134)
Epoch: [24][6650/7045]	Time 0.156 (0.240)	Data 0.099 (0.178)	Loss 5.0192 (5.0072)	Prec@1 3.516 (4.720)	Prec@5 17.578 (16.135)
Epoch: [24][6660/7045]	Time 0.516 (0.240)	Data 0.464 (0.178)	Loss 4.9366 (5.0071)	Prec@1 4.688 (4.722)	Prec@5 15.234 (16.139)
Epoch: [24][6670/7045]	Time 0.107 (0.240)	Data 0.055 (0.178)	Loss 4.9537 (5.0071)	Prec@1 4.297 (4.722)	Prec@5 17.188 (16.138)
Epoch: [24][6680/7045]	Time 0.401 (0.240)	Data 0.350 (0.178)	Loss 4.9697 (5.0070)	Prec@1 3.125 (4.723)	Prec@5 14.844 (16.138)
Epoch: [24][6690/7045]	Time 0.112 (0.240)	Data 0.060 (0.178)	Loss 4.9076 (5.0070)	Prec@1 5.859 (4.722)	Prec@5 16.016 (16.138)
Epoch: [24][6700/7045]	Time 0.392 (0.240)	Data 0.341 (0.178)	Loss 5.1016 (5.0070)	Prec@1 2.734 (4.722)	Prec@5 16.016 (16.137)
Epoch: [24][6710/7045]	Time 0.102 (0.240)	Data 0.006 (0.178)	Loss 4.9195 (5.0070)	Prec@1 6.641 (4.723)	Prec@5 16.016 (16.136)
Epoch: [24][6720/7045]	Time 0.145 (0.240)	Data 0.093 (0.178)	Loss 4.9022 (5.0070)	Prec@1 7.812 (4.723)	Prec@5 19.141 (16.136)
Epoch: [24][6730/7045]	Time 0.102 (0.240)	Data 0.002 (0.178)	Loss 4.9302 (5.0070)	Prec@1 4.297 (4.723)	Prec@5 16.016 (16.135)
Epoch: [24][6740/7045]	Time 0.164 (0.240)	Data 0.114 (0.178)	Loss 5.1093 (5.0069)	Prec@1 3.516 (4.723)	Prec@5 14.844 (16.137)
Epoch: [24][6750/7045]	Time 0.110 (0.240)	Data 0.059 (0.178)	Loss 4.9636 (5.0069)	Prec@1 3.125 (4.723)	Prec@5 14.844 (16.137)
Epoch: [24][6760/7045]	Time 0.410 (0.240)	Data 0.360 (0.178)	Loss 5.0725 (5.0068)	Prec@1 3.125 (4.723)	Prec@5 13.672 (16.137)
Epoch: [24][6770/7045]	Time 0.101 (0.240)	Data 0.047 (0.178)	Loss 5.0525 (5.0069)	Prec@1 5.469 (4.723)	Prec@5 14.062 (16.137)
Epoch: [24][6780/7045]	Time 0.278 (0.240)	Data 0.219 (0.178)	Loss 5.0417 (5.0068)	Prec@1 2.734 (4.722)	Prec@5 15.625 (16.137)
Epoch: [24][6790/7045]	Time 0.344 (0.240)	Data 0.292 (0.178)	Loss 5.0702 (5.0068)	Prec@1 3.906 (4.722)	Prec@5 13.281 (16.138)
Epoch: [24][6800/7045]	Time 0.280 (0.240)	Data 0.222 (0.178)	Loss 4.9813 (5.0067)	Prec@1 5.078 (4.722)	Prec@5 16.406 (16.138)
Epoch: [24][6810/7045]	Time 0.572 (0.240)	Data 0.521 (0.179)	Loss 4.9814 (5.0067)	Prec@1 2.734 (4.722)	Prec@5 20.703 (16.140)
Epoch: [24][6820/7045]	Time 0.101 (0.240)	Data 0.046 (0.178)	Loss 5.0301 (5.0067)	Prec@1 5.078 (4.723)	Prec@5 13.281 (16.140)
Epoch: [24][6830/7045]	Time 0.565 (0.240)	Data 0.514 (0.178)	Loss 5.0530 (5.0067)	Prec@1 4.297 (4.724)	Prec@5 15.234 (16.141)
Epoch: [24][6840/7045]	Time 0.148 (0.240)	Data 0.097 (0.178)	Loss 4.9971 (5.0066)	Prec@1 3.906 (4.724)	Prec@5 14.453 (16.141)
Epoch: [24][6850/7045]	Time 0.503 (0.240)	Data 0.452 (0.178)	Loss 5.0164 (5.0066)	Prec@1 4.688 (4.723)	Prec@5 16.016 (16.142)
Epoch: [24][6860/7045]	Time 0.102 (0.240)	Data 0.047 (0.178)	Loss 5.0380 (5.0066)	Prec@1 4.297 (4.723)	Prec@5 14.844 (16.141)
Epoch: [24][6870/7045]	Time 0.291 (0.240)	Data 0.241 (0.178)	Loss 4.9927 (5.0065)	Prec@1 5.469 (4.724)	Prec@5 16.406 (16.144)
Epoch: [24][6880/7045]	Time 0.100 (0.240)	Data 0.049 (0.178)	Loss 5.0138 (5.0065)	Prec@1 4.688 (4.725)	Prec@5 14.844 (16.143)
Epoch: [24][6890/7045]	Time 0.102 (0.240)	Data 0.001 (0.179)	Loss 5.0241 (5.0065)	Prec@1 2.344 (4.723)	Prec@5 13.672 (16.143)
Epoch: [24][6900/7045]	Time 0.102 (0.240)	Data 0.049 (0.178)	Loss 5.0333 (5.0066)	Prec@1 1.953 (4.723)	Prec@5 9.766 (16.141)
Epoch: [24][6910/7045]	Time 0.197 (0.240)	Data 0.145 (0.179)	Loss 5.1617 (5.0067)	Prec@1 3.906 (4.722)	Prec@5 12.500 (16.139)
Epoch: [24][6920/7045]	Time 0.102 (0.240)	Data 0.001 (0.178)	Loss 5.0475 (5.0067)	Prec@1 5.469 (4.721)	Prec@5 14.844 (16.138)
Epoch: [24][6930/7045]	Time 0.259 (0.240)	Data 0.208 (0.179)	Loss 4.9133 (5.0068)	Prec@1 5.469 (4.721)	Prec@5 17.969 (16.137)
Epoch: [24][6940/7045]	Time 0.104 (0.240)	Data 0.052 (0.178)	Loss 5.1300 (5.0068)	Prec@1 3.125 (4.721)	Prec@5 12.891 (16.135)
Epoch: [24][6950/7045]	Time 0.280 (0.240)	Data 0.228 (0.178)	Loss 5.1009 (5.0069)	Prec@1 3.906 (4.722)	Prec@5 14.453 (16.134)
Epoch: [24][6960/7045]	Time 0.318 (0.240)	Data 0.268 (0.178)	Loss 5.0393 (5.0069)	Prec@1 4.297 (4.721)	Prec@5 14.062 (16.133)
Epoch: [24][6970/7045]	Time 0.261 (0.240)	Data 0.211 (0.178)	Loss 5.0693 (5.0070)	Prec@1 5.078 (4.721)	Prec@5 15.625 (16.133)
Epoch: [24][6980/7045]	Time 0.546 (0.240)	Data 0.495 (0.178)	Loss 5.0969 (5.0071)	Prec@1 4.688 (4.720)	Prec@5 15.625 (16.132)
Epoch: [24][6990/7045]	Time 0.178 (0.240)	Data 0.128 (0.178)	Loss 4.9405 (5.0072)	Prec@1 6.641 (4.720)	Prec@5 16.797 (16.132)
Epoch: [24][7000/7045]	Time 0.567 (0.240)	Data 0.515 (0.178)	Loss 5.0428 (5.0072)	Prec@1 2.344 (4.720)	Prec@5 14.453 (16.132)
Epoch: [24][7010/7045]	Time 0.124 (0.240)	Data 0.073 (0.178)	Loss 4.9819 (5.0072)	Prec@1 7.422 (4.720)	Prec@5 16.797 (16.131)
Epoch: [24][7020/7045]	Time 0.515 (0.240)	Data 0.463 (0.178)	Loss 4.9654 (5.0072)	Prec@1 5.078 (4.721)	Prec@5 19.531 (16.132)
Epoch: [24][7030/7045]	Time 0.120 (0.240)	Data 0.068 (0.178)	Loss 5.0524 (5.0071)	Prec@1 3.906 (4.721)	Prec@5 19.531 (16.135)
Epoch: [24][7040/7045]	Time 0.525 (0.240)	Data 0.474 (0.179)	Loss 4.9812 (5.0071)	Prec@1 4.688 (4.720)	Prec@5 15.625 (16.135)
Test: [0/143]	Time 1.501 (1.501)	Loss 4.8283 (4.8283)	Prec@1 6.250 (6.250)	Prec@5 20.312 (20.312)
Test: [10/143]	Time 0.101 (0.259)	Loss 4.6487 (4.8901)	Prec@1 5.859 (3.551)	Prec@5 23.828 (16.087)
Test: [20/143]	Time 0.204 (0.223)	Loss 4.8773 (4.8596)	Prec@1 3.516 (4.129)	Prec@5 21.875 (17.429)
Test: [30/143]	Time 0.523 (0.223)	Loss 4.6850 (4.8488)	Prec@1 4.297 (4.309)	Prec@5 25.391 (17.553)
Test: [40/143]	Time 0.182 (0.207)	Loss 5.1244 (4.8417)	Prec@1 0.391 (5.088)	Prec@5 4.297 (18.264)
Test: [50/143]	Time 0.124 (0.200)	Loss 4.6729 (4.8303)	Prec@1 7.031 (4.833)	Prec@5 26.953 (18.153)
Test: [60/143]	Time 0.329 (0.199)	Loss 5.3363 (4.8013)	Prec@1 0.391 (5.622)	Prec@5 4.297 (19.474)
Test: [70/143]	Time 0.238 (0.194)	Loss 5.0999 (4.8046)	Prec@1 0.000 (5.788)	Prec@5 3.516 (19.399)
Test: [80/143]	Time 0.151 (0.194)	Loss 4.4838 (4.8057)	Prec@1 9.766 (5.941)	Prec@5 32.812 (19.618)
Test: [90/143]	Time 0.390 (0.194)	Loss 4.8414 (4.7921)	Prec@1 1.953 (6.035)	Prec@5 16.406 (20.081)
Test: [100/143]	Time 0.048 (0.192)	Loss 4.3675 (4.7796)	Prec@1 19.922 (6.289)	Prec@5 41.797 (20.688)
Test: [110/143]	Time 0.048 (0.189)	Loss 4.6428 (4.7692)	Prec@1 10.156 (6.549)	Prec@5 25.391 (21.125)
Test: [120/143]	Time 0.049 (0.189)	Loss 4.8176 (4.7729)	Prec@1 5.469 (6.608)	Prec@5 20.312 (21.239)
Test: [130/143]	Time 0.220 (0.188)	Loss 4.6975 (4.7730)	Prec@1 13.281 (6.560)	Prec@5 23.438 (21.249)
Test: [140/143]	Time 0.052 (0.187)	Loss 5.0173 (4.7843)	Prec@1 1.953 (6.347)	Prec@5 7.812 (20.745)
 * Prec@1 6.348 Prec@5 20.770
Epoch: [25][0/7045]	Time 2.323 (2.323)	Data 2.266 (2.266)	Loss 5.1485 (5.1485)	Prec@1 4.297 (4.297)	Prec@5 13.281 (13.281)
Epoch: [25][10/7045]	Time 0.129 (0.393)	Data 0.079 (0.313)	Loss 5.0496 (5.0099)	Prec@1 4.688 (4.545)	Prec@5 15.234 (15.518)
Epoch: [25][20/7045]	Time 0.491 (0.336)	Data 0.440 (0.258)	Loss 5.0244 (5.0158)	Prec@1 3.906 (4.427)	Prec@5 17.188 (16.090)
Epoch: [25][30/7045]	Time 0.258 (0.302)	Data 0.208 (0.226)	Loss 5.0303 (5.0138)	Prec@1 5.469 (4.461)	Prec@5 17.188 (15.890)
Epoch: [25][40/7045]	Time 0.484 (0.292)	Data 0.432 (0.218)	Loss 4.9790 (5.0086)	Prec@1 5.078 (4.411)	Prec@5 14.453 (15.997)
Epoch: [25][50/7045]	Time 0.285 (0.279)	Data 0.234 (0.207)	Loss 4.9863 (5.0031)	Prec@1 5.859 (4.611)	Prec@5 16.797 (16.062)
Epoch: [25][60/7045]	Time 0.189 (0.275)	Data 0.138 (0.205)	Loss 5.0882 (5.0013)	Prec@1 3.516 (4.566)	Prec@5 16.406 (16.150)
Epoch: [25][70/7045]	Time 0.182 (0.268)	Data 0.128 (0.198)	Loss 4.8690 (4.9922)	Prec@1 5.469 (4.616)	Prec@5 17.578 (16.280)
Epoch: [25][80/7045]	Time 0.101 (0.267)	Data 0.004 (0.197)	Loss 4.9450 (4.9900)	Prec@1 3.516 (4.567)	Prec@5 16.016 (16.194)
Epoch: [25][90/7045]	Time 0.175 (0.262)	Data 0.124 (0.192)	Loss 4.9523 (4.9903)	Prec@1 3.516 (4.619)	Prec@5 16.016 (16.222)
Epoch: [25][100/7045]	Time 0.102 (0.261)	Data 0.002 (0.192)	Loss 4.8383 (4.9858)	Prec@1 7.422 (4.749)	Prec@5 22.656 (16.337)
Epoch: [25][110/7045]	Time 0.101 (0.259)	Data 0.001 (0.190)	Loss 5.0417 (4.9864)	Prec@1 4.688 (4.786)	Prec@5 16.797 (16.403)
Epoch: [25][120/7045]	Time 0.101 (0.258)	Data 0.009 (0.188)	Loss 4.8173 (4.9893)	Prec@1 6.250 (4.752)	Prec@5 18.359 (16.335)
Epoch: [25][130/7045]	Time 0.239 (0.257)	Data 0.188 (0.188)	Loss 5.2122 (4.9881)	Prec@1 3.125 (4.738)	Prec@5 14.062 (16.427)
Epoch: [25][140/7045]	Time 0.100 (0.255)	Data 0.048 (0.187)	Loss 5.0814 (4.9914)	Prec@1 3.906 (4.721)	Prec@5 12.891 (16.381)
Epoch: [25][150/7045]	Time 0.483 (0.256)	Data 0.425 (0.189)	Loss 4.9648 (4.9959)	Prec@1 6.250 (4.755)	Prec@5 15.625 (16.292)
Epoch: [25][160/7045]	Time 0.102 (0.254)	Data 0.001 (0.186)	Loss 4.9793 (4.9957)	Prec@1 3.516 (4.709)	Prec@5 16.016 (16.236)
Epoch: [25][170/7045]	Time 0.543 (0.254)	Data 0.491 (0.186)	Loss 4.9828 (4.9906)	Prec@1 5.078 (4.765)	Prec@5 16.797 (16.358)
Epoch: [25][180/7045]	Time 0.106 (0.252)	Data 0.001 (0.183)	Loss 4.9919 (4.9862)	Prec@1 5.078 (4.763)	Prec@5 19.141 (16.408)
Epoch: [25][190/7045]	Time 0.560 (0.253)	Data 0.510 (0.184)	Loss 4.9657 (4.9892)	Prec@1 3.906 (4.751)	Prec@5 16.797 (16.376)
Epoch: [25][200/7045]	Time 0.101 (0.250)	Data 0.001 (0.181)	Loss 4.8213 (4.9889)	Prec@1 5.859 (4.804)	Prec@5 17.188 (16.369)
Epoch: [25][210/7045]	Time 0.514 (0.251)	Data 0.463 (0.182)	Loss 5.0101 (4.9906)	Prec@1 3.906 (4.802)	Prec@5 14.062 (16.303)
Epoch: [25][220/7045]	Time 0.102 (0.249)	Data 0.001 (0.180)	Loss 5.0371 (4.9919)	Prec@1 5.859 (4.783)	Prec@5 15.234 (16.277)
Epoch: [25][230/7045]	Time 0.549 (0.250)	Data 0.499 (0.180)	Loss 4.9779 (4.9901)	Prec@1 3.516 (4.819)	Prec@5 16.797 (16.325)
Epoch: [25][240/7045]	Time 0.101 (0.248)	Data 0.001 (0.178)	Loss 5.0163 (4.9907)	Prec@1 6.250 (4.820)	Prec@5 18.359 (16.380)
Epoch: [25][250/7045]	Time 0.536 (0.249)	Data 0.482 (0.179)	Loss 4.9893 (4.9937)	Prec@1 4.297 (4.796)	Prec@5 14.062 (16.325)
Epoch: [25][260/7045]	Time 0.102 (0.248)	Data 0.001 (0.177)	Loss 4.9656 (4.9924)	Prec@1 5.859 (4.809)	Prec@5 17.969 (16.328)
Epoch: [25][270/7045]	Time 0.521 (0.248)	Data 0.470 (0.178)	Loss 5.0534 (4.9899)	Prec@1 5.078 (4.827)	Prec@5 16.016 (16.415)
Epoch: [25][280/7045]	Time 0.103 (0.247)	Data 0.001 (0.177)	Loss 4.9551 (4.9883)	Prec@1 6.250 (4.833)	Prec@5 17.188 (16.435)
Epoch: [25][290/7045]	Time 0.478 (0.248)	Data 0.428 (0.177)	Loss 4.9969 (4.9885)	Prec@1 3.125 (4.839)	Prec@5 17.188 (16.451)
Epoch: [25][300/7045]	Time 0.103 (0.247)	Data 0.001 (0.175)	Loss 4.8797 (4.9901)	Prec@1 6.641 (4.834)	Prec@5 21.484 (16.427)
Epoch: [25][310/7045]	Time 0.473 (0.247)	Data 0.420 (0.176)	Loss 5.0760 (4.9905)	Prec@1 3.516 (4.847)	Prec@5 12.891 (16.435)
Epoch: [25][320/7045]	Time 0.100 (0.246)	Data 0.001 (0.175)	Loss 4.9848 (4.9918)	Prec@1 5.859 (4.836)	Prec@5 11.328 (16.384)
Epoch: [25][330/7045]	Time 0.499 (0.246)	Data 0.447 (0.175)	Loss 5.0425 (4.9919)	Prec@1 7.031 (4.847)	Prec@5 15.625 (16.400)
Epoch: [25][340/7045]	Time 0.102 (0.246)	Data 0.001 (0.174)	Loss 5.0577 (4.9908)	Prec@1 3.516 (4.820)	Prec@5 17.188 (16.391)
Epoch: [25][350/7045]	Time 0.521 (0.246)	Data 0.470 (0.175)	Loss 4.8718 (4.9909)	Prec@1 5.859 (4.813)	Prec@5 19.141 (16.380)
Epoch: [25][360/7045]	Time 0.104 (0.245)	Data 0.001 (0.173)	Loss 5.0242 (4.9914)	Prec@1 2.344 (4.807)	Prec@5 14.844 (16.364)
Epoch: [25][370/7045]	Time 0.504 (0.245)	Data 0.446 (0.174)	Loss 5.0689 (4.9915)	Prec@1 5.469 (4.830)	Prec@5 16.797 (16.400)
Epoch: [25][380/7045]	Time 0.102 (0.245)	Data 0.001 (0.173)	Loss 4.9817 (4.9915)	Prec@1 3.906 (4.828)	Prec@5 13.281 (16.390)
Epoch: [25][390/7045]	Time 0.588 (0.245)	Data 0.537 (0.174)	Loss 5.0520 (4.9927)	Prec@1 4.297 (4.815)	Prec@5 14.453 (16.360)
Epoch: [25][400/7045]	Time 0.103 (0.244)	Data 0.001 (0.173)	Loss 5.0419 (4.9949)	Prec@1 2.734 (4.801)	Prec@5 17.188 (16.311)
Epoch: [25][410/7045]	Time 0.551 (0.245)	Data 0.500 (0.173)	Loss 4.9792 (4.9943)	Prec@1 4.688 (4.798)	Prec@5 13.672 (16.325)
Epoch: [25][420/7045]	Time 0.107 (0.244)	Data 0.055 (0.173)	Loss 5.0282 (4.9949)	Prec@1 4.297 (4.785)	Prec@5 15.625 (16.307)
Epoch: [25][430/7045]	Time 0.497 (0.244)	Data 0.448 (0.173)	Loss 4.9566 (4.9949)	Prec@1 5.078 (4.795)	Prec@5 17.188 (16.299)
Epoch: [25][440/7045]	Time 0.107 (0.244)	Data 0.054 (0.173)	Loss 4.9323 (4.9940)	Prec@1 6.250 (4.801)	Prec@5 17.578 (16.303)
Epoch: [25][450/7045]	Time 0.524 (0.244)	Data 0.472 (0.173)	Loss 4.8842 (4.9936)	Prec@1 3.906 (4.811)	Prec@5 19.922 (16.317)
Epoch: [25][460/7045]	Time 0.104 (0.243)	Data 0.052 (0.173)	Loss 5.1749 (4.9940)	Prec@1 3.906 (4.810)	Prec@5 13.672 (16.309)
Epoch: [25][470/7045]	Time 0.542 (0.244)	Data 0.490 (0.173)	Loss 4.7954 (4.9933)	Prec@1 4.688 (4.809)	Prec@5 21.484 (16.329)
Epoch: [25][480/7045]	Time 0.102 (0.243)	Data 0.050 (0.173)	Loss 4.8958 (4.9922)	Prec@1 7.031 (4.809)	Prec@5 19.531 (16.345)
Epoch: [25][490/7045]	Time 0.529 (0.244)	Data 0.472 (0.173)	Loss 5.0155 (4.9934)	Prec@1 5.469 (4.812)	Prec@5 15.234 (16.343)
Epoch: [25][500/7045]	Time 0.102 (0.243)	Data 0.002 (0.173)	Loss 4.8283 (4.9938)	Prec@1 5.078 (4.804)	Prec@5 17.188 (16.322)
Epoch: [25][510/7045]	Time 0.516 (0.243)	Data 0.465 (0.173)	Loss 4.8898 (4.9949)	Prec@1 5.859 (4.778)	Prec@5 17.969 (16.296)
Epoch: [25][520/7045]	Time 0.102 (0.243)	Data 0.001 (0.173)	Loss 5.0230 (4.9964)	Prec@1 3.125 (4.761)	Prec@5 12.891 (16.269)
Epoch: [25][530/7045]	Time 0.518 (0.243)	Data 0.467 (0.173)	Loss 5.0862 (4.9974)	Prec@1 3.125 (4.751)	Prec@5 13.281 (16.258)
Epoch: [25][540/7045]	Time 0.151 (0.243)	Data 0.099 (0.173)	Loss 5.0135 (4.9978)	Prec@1 4.688 (4.754)	Prec@5 15.234 (16.250)
Epoch: [25][550/7045]	Time 0.491 (0.243)	Data 0.439 (0.174)	Loss 5.0833 (4.9984)	Prec@1 4.297 (4.738)	Prec@5 18.750 (16.232)
Epoch: [25][560/7045]	Time 0.108 (0.243)	Data 0.056 (0.174)	Loss 5.0748 (4.9990)	Prec@1 2.734 (4.731)	Prec@5 16.797 (16.219)
Epoch: [25][570/7045]	Time 0.480 (0.243)	Data 0.429 (0.174)	Loss 4.9897 (4.9984)	Prec@1 5.078 (4.733)	Prec@5 18.750 (16.224)
Epoch: [25][580/7045]	Time 0.102 (0.242)	Data 0.003 (0.174)	Loss 4.9204 (4.9978)	Prec@1 4.297 (4.733)	Prec@5 19.922 (16.237)
Epoch: [25][590/7045]	Time 0.447 (0.243)	Data 0.395 (0.174)	Loss 5.0869 (4.9991)	Prec@1 5.078 (4.733)	Prec@5 16.016 (16.217)
Epoch: [25][600/7045]	Time 0.103 (0.242)	Data 0.001 (0.174)	Loss 4.9334 (4.9988)	Prec@1 5.078 (4.738)	Prec@5 17.578 (16.236)
Epoch: [25][610/7045]	Time 0.444 (0.242)	Data 0.393 (0.174)	Loss 4.9635 (4.9988)	Prec@1 5.078 (4.731)	Prec@5 16.016 (16.243)
Epoch: [25][620/7045]	Time 0.102 (0.242)	Data 0.002 (0.174)	Loss 4.8471 (4.9979)	Prec@1 5.859 (4.732)	Prec@5 19.531 (16.250)
Epoch: [25][630/7045]	Time 0.431 (0.242)	Data 0.380 (0.174)	Loss 5.0232 (4.9970)	Prec@1 3.125 (4.746)	Prec@5 16.406 (16.288)
Epoch: [25][640/7045]	Time 0.101 (0.242)	Data 0.001 (0.174)	Loss 5.0690 (4.9974)	Prec@1 4.297 (4.736)	Prec@5 16.016 (16.264)
Epoch: [25][650/7045]	Time 0.415 (0.242)	Data 0.364 (0.174)	Loss 4.9200 (4.9972)	Prec@1 5.469 (4.731)	Prec@5 15.234 (16.251)
Epoch: [25][660/7045]	Time 0.101 (0.242)	Data 0.004 (0.174)	Loss 5.0282 (4.9967)	Prec@1 4.297 (4.732)	Prec@5 13.281 (16.243)
Epoch: [25][670/7045]	Time 0.396 (0.242)	Data 0.345 (0.174)	Loss 4.9631 (4.9962)	Prec@1 5.859 (4.731)	Prec@5 19.141 (16.251)
Epoch: [25][680/7045]	Time 0.101 (0.242)	Data 0.001 (0.174)	Loss 4.9214 (4.9961)	Prec@1 6.250 (4.727)	Prec@5 18.359 (16.255)
Epoch: [25][690/7045]	Time 0.410 (0.242)	Data 0.359 (0.174)	Loss 4.9778 (4.9960)	Prec@1 5.859 (4.725)	Prec@5 18.750 (16.271)
Epoch: [25][700/7045]	Time 0.102 (0.242)	Data 0.001 (0.174)	Loss 5.0639 (4.9960)	Prec@1 4.688 (4.719)	Prec@5 13.672 (16.268)
Epoch: [25][710/7045]	Time 0.413 (0.242)	Data 0.362 (0.174)	Loss 4.8466 (4.9962)	Prec@1 7.422 (4.719)	Prec@5 18.359 (16.257)
Epoch: [25][720/7045]	Time 0.102 (0.241)	Data 0.001 (0.173)	Loss 5.1832 (4.9959)	Prec@1 1.562 (4.713)	Prec@5 13.672 (16.260)
Epoch: [25][730/7045]	Time 0.396 (0.242)	Data 0.345 (0.174)	Loss 5.0303 (4.9959)	Prec@1 5.078 (4.713)	Prec@5 16.016 (16.266)
Epoch: [25][740/7045]	Time 0.101 (0.241)	Data 0.001 (0.173)	Loss 5.0850 (4.9964)	Prec@1 3.906 (4.709)	Prec@5 12.891 (16.252)
Epoch: [25][750/7045]	Time 0.411 (0.241)	Data 0.360 (0.173)	Loss 4.9428 (4.9956)	Prec@1 5.859 (4.715)	Prec@5 15.625 (16.258)
Epoch: [25][760/7045]	Time 0.102 (0.241)	Data 0.001 (0.173)	Loss 5.1886 (4.9959)	Prec@1 3.906 (4.720)	Prec@5 14.453 (16.268)
Epoch: [25][770/7045]	Time 0.361 (0.241)	Data 0.311 (0.173)	Loss 5.0205 (4.9966)	Prec@1 4.297 (4.717)	Prec@5 14.453 (16.256)
Epoch: [25][780/7045]	Time 0.103 (0.241)	Data 0.001 (0.173)	Loss 5.1946 (4.9971)	Prec@1 4.688 (4.714)	Prec@5 14.844 (16.251)
Epoch: [25][790/7045]	Time 0.354 (0.241)	Data 0.295 (0.173)	Loss 4.8070 (4.9974)	Prec@1 7.031 (4.707)	Prec@5 17.188 (16.237)
Epoch: [25][800/7045]	Time 0.099 (0.241)	Data 0.045 (0.173)	Loss 4.9832 (4.9976)	Prec@1 6.250 (4.718)	Prec@5 17.188 (16.237)
Epoch: [25][810/7045]	Time 0.311 (0.241)	Data 0.260 (0.173)	Loss 5.0032 (4.9985)	Prec@1 5.078 (4.713)	Prec@5 17.188 (16.221)
Epoch: [25][820/7045]	Time 0.130 (0.241)	Data 0.079 (0.173)	Loss 5.0443 (4.9990)	Prec@1 4.297 (4.704)	Prec@5 15.234 (16.208)
Epoch: [25][830/7045]	Time 0.159 (0.241)	Data 0.103 (0.173)	Loss 5.1286 (4.9999)	Prec@1 3.906 (4.701)	Prec@5 13.672 (16.193)
Epoch: [25][840/7045]	Time 0.171 (0.241)	Data 0.118 (0.173)	Loss 4.9589 (5.0009)	Prec@1 3.125 (4.687)	Prec@5 16.797 (16.170)
Epoch: [25][850/7045]	Time 0.157 (0.241)	Data 0.106 (0.174)	Loss 5.0692 (5.0014)	Prec@1 5.859 (4.694)	Prec@5 16.016 (16.173)
Epoch: [25][860/7045]	Time 0.127 (0.241)	Data 0.075 (0.174)	Loss 5.1977 (5.0030)	Prec@1 3.125 (4.682)	Prec@5 15.625 (16.140)
Epoch: [25][870/7045]	Time 0.165 (0.241)	Data 0.113 (0.174)	Loss 4.9817 (5.0030)	Prec@1 5.078 (4.690)	Prec@5 16.797 (16.139)
Epoch: [25][880/7045]	Time 0.101 (0.241)	Data 0.010 (0.174)	Loss 4.9672 (5.0031)	Prec@1 2.734 (4.687)	Prec@5 19.141 (16.136)
Epoch: [25][890/7045]	Time 0.149 (0.241)	Data 0.097 (0.174)	Loss 5.0797 (5.0033)	Prec@1 3.906 (4.678)	Prec@5 18.359 (16.127)
Epoch: [25][900/7045]	Time 0.101 (0.240)	Data 0.005 (0.174)	Loss 5.0394 (5.0036)	Prec@1 5.078 (4.681)	Prec@5 16.406 (16.124)
Epoch: [25][910/7045]	Time 0.140 (0.241)	Data 0.089 (0.174)	Loss 4.9649 (5.0035)	Prec@1 5.859 (4.691)	Prec@5 17.578 (16.139)
Epoch: [25][920/7045]	Time 0.102 (0.240)	Data 0.005 (0.174)	Loss 4.8824 (5.0030)	Prec@1 5.078 (4.696)	Prec@5 20.703 (16.155)
Epoch: [25][930/7045]	Time 0.108 (0.240)	Data 0.056 (0.174)	Loss 4.9549 (5.0031)	Prec@1 5.469 (4.697)	Prec@5 17.969 (16.152)
Epoch: [25][940/7045]	Time 0.102 (0.240)	Data 0.007 (0.174)	Loss 4.9755 (5.0033)	Prec@1 2.734 (4.695)	Prec@5 13.672 (16.139)
Epoch: [25][950/7045]	Time 0.334 (0.241)	Data 0.275 (0.174)	Loss 4.9806 (5.0038)	Prec@1 3.516 (4.696)	Prec@5 17.188 (16.133)
Epoch: [25][960/7045]	Time 0.101 (0.240)	Data 0.001 (0.174)	Loss 5.0450 (5.0046)	Prec@1 6.250 (4.693)	Prec@5 18.750 (16.128)
Epoch: [25][970/7045]	Time 0.379 (0.241)	Data 0.329 (0.174)	Loss 4.9023 (5.0046)	Prec@1 3.516 (4.690)	Prec@5 17.188 (16.131)
Epoch: [25][980/7045]	Time 0.581 (0.241)	Data 0.531 (0.174)	Loss 5.0383 (5.0054)	Prec@1 5.469 (4.685)	Prec@5 16.016 (16.116)
Epoch: [25][990/7045]	Time 0.111 (0.241)	Data 0.005 (0.174)	Loss 4.9456 (5.0049)	Prec@1 4.297 (4.683)	Prec@5 15.625 (16.122)
Epoch: [25][1000/7045]	Time 0.562 (0.241)	Data 0.510 (0.175)	Loss 4.8029 (5.0047)	Prec@1 7.031 (4.677)	Prec@5 21.094 (16.122)
Epoch: [25][1010/7045]	Time 0.107 (0.241)	Data 0.045 (0.174)	Loss 4.9023 (5.0045)	Prec@1 3.125 (4.681)	Prec@5 10.156 (16.116)
Epoch: [25][1020/7045]	Time 0.539 (0.241)	Data 0.489 (0.175)	Loss 5.0370 (5.0041)	Prec@1 2.344 (4.678)	Prec@5 11.328 (16.112)
Epoch: [25][1030/7045]	Time 0.108 (0.241)	Data 0.056 (0.174)	Loss 5.0146 (5.0040)	Prec@1 5.469 (4.672)	Prec@5 17.578 (16.108)
Epoch: [25][1040/7045]	Time 0.327 (0.241)	Data 0.275 (0.174)	Loss 4.9257 (5.0040)	Prec@1 3.906 (4.674)	Prec@5 16.406 (16.109)
Epoch: [25][1050/7045]	Time 0.101 (0.240)	Data 0.006 (0.174)	Loss 4.8753 (5.0033)	Prec@1 6.641 (4.676)	Prec@5 16.797 (16.119)
Epoch: [25][1060/7045]	Time 0.148 (0.241)	Data 0.095 (0.174)	Loss 4.9086 (5.0031)	Prec@1 7.031 (4.670)	Prec@5 16.406 (16.120)
Epoch: [25][1070/7045]	Time 0.101 (0.240)	Data 0.045 (0.174)	Loss 5.0095 (5.0031)	Prec@1 2.734 (4.668)	Prec@5 14.453 (16.112)
Epoch: [25][1080/7045]	Time 0.106 (0.241)	Data 0.006 (0.174)	Loss 4.9497 (5.0027)	Prec@1 5.078 (4.667)	Prec@5 17.578 (16.113)
Epoch: [25][1090/7045]	Time 0.101 (0.240)	Data 0.045 (0.174)	Loss 5.0070 (5.0029)	Prec@1 3.906 (4.667)	Prec@5 15.234 (16.112)
Epoch: [25][1100/7045]	Time 0.197 (0.241)	Data 0.147 (0.175)	Loss 5.0452 (5.0032)	Prec@1 3.906 (4.668)	Prec@5 14.062 (16.101)
Epoch: [25][1110/7045]	Time 0.101 (0.240)	Data 0.048 (0.174)	Loss 4.9527 (5.0034)	Prec@1 4.297 (4.668)	Prec@5 15.625 (16.094)
Epoch: [25][1120/7045]	Time 0.189 (0.241)	Data 0.137 (0.175)	Loss 4.9964 (5.0035)	Prec@1 4.297 (4.667)	Prec@5 13.672 (16.091)
Epoch: [25][1130/7045]	Time 0.295 (0.241)	Data 0.244 (0.175)	Loss 5.1010 (5.0035)	Prec@1 3.906 (4.659)	Prec@5 14.844 (16.090)
Epoch: [25][1140/7045]	Time 0.161 (0.241)	Data 0.110 (0.175)	Loss 5.0501 (5.0031)	Prec@1 4.297 (4.664)	Prec@5 13.281 (16.101)
Epoch: [25][1150/7045]	Time 0.420 (0.241)	Data 0.361 (0.175)	Loss 5.0202 (5.0036)	Prec@1 4.688 (4.663)	Prec@5 17.188 (16.089)
Epoch: [25][1160/7045]	Time 0.123 (0.241)	Data 0.071 (0.175)	Loss 5.0967 (5.0046)	Prec@1 2.734 (4.660)	Prec@5 14.844 (16.081)
Epoch: [25][1170/7045]	Time 0.166 (0.241)	Data 0.115 (0.175)	Loss 5.0189 (5.0058)	Prec@1 4.297 (4.655)	Prec@5 13.672 (16.060)
Epoch: [25][1180/7045]	Time 0.286 (0.241)	Data 0.235 (0.175)	Loss 4.9376 (5.0057)	Prec@1 7.812 (4.652)	Prec@5 17.188 (16.060)
Epoch: [25][1190/7045]	Time 0.171 (0.241)	Data 0.119 (0.175)	Loss 5.1010 (5.0064)	Prec@1 4.297 (4.647)	Prec@5 12.109 (16.048)
Epoch: [25][1200/7045]	Time 0.294 (0.241)	Data 0.244 (0.175)	Loss 5.1096 (5.0069)	Prec@1 3.906 (4.649)	Prec@5 16.406 (16.047)
Epoch: [25][1210/7045]	Time 0.210 (0.241)	Data 0.160 (0.175)	Loss 5.0007 (5.0070)	Prec@1 3.906 (4.650)	Prec@5 14.062 (16.039)
Epoch: [25][1220/7045]	Time 0.162 (0.241)	Data 0.111 (0.176)	Loss 4.9669 (5.0066)	Prec@1 5.078 (4.657)	Prec@5 13.672 (16.042)
Epoch: [25][1230/7045]	Time 0.195 (0.241)	Data 0.143 (0.176)	Loss 5.0417 (5.0067)	Prec@1 3.125 (4.654)	Prec@5 14.062 (16.034)
Epoch: [25][1240/7045]	Time 0.100 (0.241)	Data 0.004 (0.176)	Loss 4.9588 (5.0067)	Prec@1 7.422 (4.657)	Prec@5 16.406 (16.029)
Epoch: [25][1250/7045]	Time 0.345 (0.241)	Data 0.295 (0.176)	Loss 4.8049 (5.0070)	Prec@1 6.641 (4.661)	Prec@5 22.656 (16.022)
Epoch: [25][1260/7045]	Time 0.140 (0.241)	Data 0.088 (0.176)	Loss 5.0981 (5.0070)	Prec@1 5.469 (4.659)	Prec@5 12.891 (16.020)
Epoch: [25][1270/7045]	Time 0.361 (0.241)	Data 0.304 (0.176)	Loss 4.9601 (5.0067)	Prec@1 6.250 (4.664)	Prec@5 18.750 (16.024)
Epoch: [25][1280/7045]	Time 0.449 (0.241)	Data 0.393 (0.176)	Loss 4.9893 (5.0062)	Prec@1 6.641 (4.666)	Prec@5 18.750 (16.037)
Epoch: [25][1290/7045]	Time 0.182 (0.241)	Data 0.130 (0.176)	Loss 4.9498 (5.0060)	Prec@1 3.516 (4.664)	Prec@5 20.703 (16.036)
Epoch: [25][1300/7045]	Time 0.119 (0.241)	Data 0.067 (0.176)	Loss 5.0112 (5.0059)	Prec@1 2.734 (4.662)	Prec@5 12.109 (16.036)
Epoch: [25][1310/7045]	Time 0.307 (0.241)	Data 0.255 (0.176)	Loss 4.9233 (5.0056)	Prec@1 3.516 (4.659)	Prec@5 17.969 (16.039)
Epoch: [25][1320/7045]	Time 0.102 (0.241)	Data 0.001 (0.176)	Loss 5.1096 (5.0054)	Prec@1 5.078 (4.657)	Prec@5 16.406 (16.042)
Epoch: [25][1330/7045]	Time 0.410 (0.241)	Data 0.359 (0.176)	Loss 4.8820 (5.0051)	Prec@1 7.031 (4.663)	Prec@5 19.141 (16.055)
Epoch: [25][1340/7045]	Time 0.264 (0.241)	Data 0.213 (0.176)	Loss 5.0831 (5.0050)	Prec@1 2.734 (4.661)	Prec@5 10.156 (16.054)
Epoch: [25][1350/7045]	Time 0.510 (0.241)	Data 0.458 (0.177)	Loss 5.1228 (5.0049)	Prec@1 3.906 (4.659)	Prec@5 13.672 (16.051)
Epoch: [25][1360/7045]	Time 0.319 (0.241)	Data 0.267 (0.176)	Loss 4.9954 (5.0052)	Prec@1 5.078 (4.657)	Prec@5 16.406 (16.046)
Epoch: [25][1370/7045]	Time 0.359 (0.241)	Data 0.307 (0.176)	Loss 5.1555 (5.0055)	Prec@1 5.469 (4.654)	Prec@5 12.891 (16.037)
Epoch: [25][1380/7045]	Time 0.504 (0.241)	Data 0.453 (0.176)	Loss 4.8815 (5.0054)	Prec@1 5.078 (4.653)	Prec@5 20.312 (16.044)
Epoch: [25][1390/7045]	Time 0.335 (0.241)	Data 0.283 (0.176)	Loss 5.1706 (5.0052)	Prec@1 3.906 (4.654)	Prec@5 12.500 (16.051)
Epoch: [25][1400/7045]	Time 0.359 (0.241)	Data 0.306 (0.176)	Loss 4.8545 (5.0050)	Prec@1 7.422 (4.653)	Prec@5 19.922 (16.057)
Epoch: [25][1410/7045]	Time 0.203 (0.241)	Data 0.152 (0.176)	Loss 5.0898 (5.0052)	Prec@1 3.906 (4.650)	Prec@5 17.578 (16.057)
Epoch: [25][1420/7045]	Time 0.588 (0.241)	Data 0.531 (0.177)	Loss 5.0771 (5.0055)	Prec@1 4.297 (4.647)	Prec@5 13.672 (16.045)
Epoch: [25][1430/7045]	Time 0.100 (0.241)	Data 0.001 (0.176)	Loss 5.0067 (5.0057)	Prec@1 3.906 (4.648)	Prec@5 18.750 (16.045)
Epoch: [25][1440/7045]	Time 0.577 (0.241)	Data 0.527 (0.177)	Loss 5.0197 (5.0056)	Prec@1 3.125 (4.644)	Prec@5 12.500 (16.047)
Epoch: [25][1450/7045]	Time 0.101 (0.241)	Data 0.001 (0.176)	Loss 4.8730 (5.0054)	Prec@1 6.641 (4.647)	Prec@5 19.141 (16.054)
Epoch: [25][1460/7045]	Time 0.106 (0.242)	Data 0.001 (0.177)	Loss 4.9297 (5.0054)	Prec@1 5.859 (4.645)	Prec@5 17.188 (16.047)
Epoch: [25][1470/7045]	Time 0.101 (0.241)	Data 0.001 (0.176)	Loss 4.9342 (5.0055)	Prec@1 5.078 (4.645)	Prec@5 14.844 (16.044)
Epoch: [25][1480/7045]	Time 0.165 (0.241)	Data 0.115 (0.177)	Loss 5.1288 (5.0059)	Prec@1 2.734 (4.647)	Prec@5 14.062 (16.039)
Epoch: [25][1490/7045]	Time 0.365 (0.242)	Data 0.307 (0.177)	Loss 5.0087 (5.0057)	Prec@1 5.859 (4.648)	Prec@5 17.188 (16.042)
Epoch: [25][1500/7045]	Time 0.102 (0.241)	Data 0.005 (0.177)	Loss 4.9640 (5.0051)	Prec@1 2.734 (4.654)	Prec@5 14.062 (16.057)
Epoch: [25][1510/7045]	Time 0.199 (0.242)	Data 0.148 (0.177)	Loss 5.0469 (5.0052)	Prec@1 4.688 (4.653)	Prec@5 14.844 (16.057)
Epoch: [25][1520/7045]	Time 0.102 (0.241)	Data 0.005 (0.177)	Loss 5.1156 (5.0054)	Prec@1 5.469 (4.651)	Prec@5 16.797 (16.058)
Epoch: [25][1530/7045]	Time 0.116 (0.242)	Data 0.063 (0.177)	Loss 4.9493 (5.0055)	Prec@1 3.516 (4.649)	Prec@5 16.016 (16.057)
Epoch: [25][1540/7045]	Time 0.101 (0.242)	Data 0.001 (0.177)	Loss 4.9274 (5.0058)	Prec@1 6.641 (4.647)	Prec@5 19.141 (16.051)
Epoch: [25][1550/7045]	Time 0.192 (0.242)	Data 0.140 (0.177)	Loss 4.9215 (5.0054)	Prec@1 4.297 (4.649)	Prec@5 16.797 (16.053)
Epoch: [25][1560/7045]	Time 0.101 (0.242)	Data 0.044 (0.177)	Loss 4.9607 (5.0049)	Prec@1 3.906 (4.647)	Prec@5 16.016 (16.062)
Epoch: [25][1570/7045]	Time 0.226 (0.242)	Data 0.174 (0.177)	Loss 4.9271 (5.0047)	Prec@1 3.125 (4.646)	Prec@5 18.359 (16.063)
Epoch: [25][1580/7045]	Time 0.100 (0.242)	Data 0.045 (0.177)	Loss 4.9614 (5.0049)	Prec@1 6.250 (4.644)	Prec@5 17.188 (16.057)
Epoch: [25][1590/7045]	Time 0.255 (0.242)	Data 0.203 (0.177)	Loss 5.0052 (5.0049)	Prec@1 4.688 (4.642)	Prec@5 16.016 (16.058)
Epoch: [25][1600/7045]	Time 0.107 (0.242)	Data 0.055 (0.177)	Loss 5.0493 (5.0055)	Prec@1 1.953 (4.638)	Prec@5 14.062 (16.043)
Epoch: [25][1610/7045]	Time 0.266 (0.242)	Data 0.213 (0.177)	Loss 4.9923 (5.0059)	Prec@1 6.641 (4.636)	Prec@5 19.141 (16.031)
Epoch: [25][1620/7045]	Time 0.199 (0.242)	Data 0.148 (0.177)	Loss 5.0677 (5.0061)	Prec@1 3.516 (4.631)	Prec@5 13.281 (16.025)
Epoch: [25][1630/7045]	Time 0.260 (0.242)	Data 0.208 (0.177)	Loss 4.9616 (5.0064)	Prec@1 4.688 (4.626)	Prec@5 17.578 (16.020)
Epoch: [25][1640/7045]	Time 0.238 (0.242)	Data 0.186 (0.177)	Loss 5.0783 (5.0067)	Prec@1 4.297 (4.626)	Prec@5 13.281 (16.017)
Epoch: [25][1650/7045]	Time 0.259 (0.242)	Data 0.205 (0.178)	Loss 4.9677 (5.0065)	Prec@1 2.734 (4.626)	Prec@5 11.719 (16.018)
Epoch: [25][1660/7045]	Time 0.263 (0.242)	Data 0.210 (0.178)	Loss 5.0147 (5.0068)	Prec@1 5.469 (4.629)	Prec@5 14.062 (16.018)
Epoch: [25][1670/7045]	Time 0.274 (0.242)	Data 0.222 (0.178)	Loss 5.0340 (5.0073)	Prec@1 4.297 (4.624)	Prec@5 16.797 (16.013)
Epoch: [25][1680/7045]	Time 0.311 (0.242)	Data 0.259 (0.178)	Loss 4.9538 (5.0074)	Prec@1 3.125 (4.626)	Prec@5 14.844 (16.015)
Epoch: [25][1690/7045]	Time 0.161 (0.242)	Data 0.109 (0.178)	Loss 5.1056 (5.0078)	Prec@1 3.516 (4.623)	Prec@5 12.500 (16.012)
Epoch: [25][1700/7045]	Time 0.106 (0.242)	Data 0.054 (0.178)	Loss 4.8675 (5.0077)	Prec@1 6.641 (4.623)	Prec@5 21.875 (16.020)
Epoch: [25][1710/7045]	Time 0.527 (0.242)	Data 0.477 (0.178)	Loss 4.8713 (5.0072)	Prec@1 4.688 (4.627)	Prec@5 16.797 (16.026)
Epoch: [25][1720/7045]	Time 0.112 (0.242)	Data 0.050 (0.178)	Loss 5.1690 (5.0070)	Prec@1 3.906 (4.628)	Prec@5 15.234 (16.031)
Epoch: [25][1730/7045]	Time 0.462 (0.242)	Data 0.411 (0.178)	Loss 5.0210 (5.0068)	Prec@1 3.516 (4.629)	Prec@5 11.719 (16.029)
Epoch: [25][1740/7045]	Time 0.245 (0.242)	Data 0.194 (0.178)	Loss 5.0908 (5.0066)	Prec@1 3.125 (4.634)	Prec@5 15.234 (16.037)
Epoch: [25][1750/7045]	Time 0.105 (0.242)	Data 0.002 (0.178)	Loss 5.0628 (5.0066)	Prec@1 3.125 (4.632)	Prec@5 16.797 (16.041)
Epoch: [25][1760/7045]	Time 0.101 (0.242)	Data 0.001 (0.178)	Loss 5.0292 (5.0065)	Prec@1 4.297 (4.631)	Prec@5 13.672 (16.044)
Epoch: [25][1770/7045]	Time 0.101 (0.242)	Data 0.005 (0.178)	Loss 5.0471 (5.0068)	Prec@1 4.688 (4.628)	Prec@5 17.578 (16.040)
Epoch: [25][1780/7045]	Time 0.641 (0.242)	Data 0.584 (0.178)	Loss 5.0167 (5.0070)	Prec@1 6.250 (4.626)	Prec@5 19.141 (16.037)
Epoch: [25][1790/7045]	Time 0.380 (0.242)	Data 0.328 (0.178)	Loss 4.9764 (5.0069)	Prec@1 4.688 (4.630)	Prec@5 16.016 (16.047)
Epoch: [25][1800/7045]	Time 0.176 (0.242)	Data 0.124 (0.178)	Loss 5.0241 (5.0068)	Prec@1 3.906 (4.629)	Prec@5 14.062 (16.043)
Epoch: [25][1810/7045]	Time 0.101 (0.242)	Data 0.001 (0.178)	Loss 5.1794 (5.0071)	Prec@1 4.297 (4.631)	Prec@5 11.328 (16.040)
Epoch: [25][1820/7045]	Time 0.319 (0.242)	Data 0.268 (0.178)	Loss 4.9775 (5.0071)	Prec@1 6.250 (4.632)	Prec@5 15.625 (16.038)
Epoch: [25][1830/7045]	Time 0.121 (0.242)	Data 0.070 (0.178)	Loss 4.9075 (5.0067)	Prec@1 4.297 (4.634)	Prec@5 18.750 (16.043)
Epoch: [25][1840/7045]	Time 0.202 (0.242)	Data 0.151 (0.178)	Loss 5.1575 (5.0066)	Prec@1 4.297 (4.637)	Prec@5 12.109 (16.045)
Epoch: [25][1850/7045]	Time 0.432 (0.242)	Data 0.381 (0.178)	Loss 5.1398 (5.0069)	Prec@1 2.734 (4.634)	Prec@5 16.406 (16.040)
Epoch: [25][1860/7045]	Time 0.321 (0.242)	Data 0.269 (0.178)	Loss 5.0906 (5.0070)	Prec@1 2.734 (4.635)	Prec@5 12.109 (16.039)
Epoch: [25][1870/7045]	Time 0.264 (0.242)	Data 0.213 (0.178)	Loss 4.9882 (5.0072)	Prec@1 6.250 (4.635)	Prec@5 17.969 (16.033)
Epoch: [25][1880/7045]	Time 0.237 (0.242)	Data 0.183 (0.178)	Loss 4.9202 (5.0071)	Prec@1 4.297 (4.634)	Prec@5 17.578 (16.033)
Epoch: [25][1890/7045]	Time 0.160 (0.242)	Data 0.105 (0.179)	Loss 4.9736 (5.0070)	Prec@1 5.859 (4.633)	Prec@5 15.234 (16.032)
Epoch: [25][1900/7045]	Time 0.119 (0.242)	Data 0.067 (0.178)	Loss 4.9874 (5.0069)	Prec@1 5.078 (4.634)	Prec@5 15.625 (16.036)
Epoch: [25][1910/7045]	Time 0.161 (0.242)	Data 0.105 (0.179)	Loss 5.1131 (5.0070)	Prec@1 3.906 (4.634)	Prec@5 14.844 (16.035)
Epoch: [25][1920/7045]	Time 0.100 (0.242)	Data 0.048 (0.178)	Loss 4.9391 (5.0072)	Prec@1 5.078 (4.633)	Prec@5 14.844 (16.034)
Epoch: [25][1930/7045]	Time 0.162 (0.242)	Data 0.110 (0.179)	Loss 4.7963 (5.0071)	Prec@1 5.859 (4.632)	Prec@5 24.609 (16.039)
Epoch: [25][1940/7045]	Time 0.102 (0.242)	Data 0.003 (0.179)	Loss 5.0211 (5.0069)	Prec@1 3.906 (4.637)	Prec@5 14.453 (16.046)
Epoch: [25][1950/7045]	Time 0.165 (0.242)	Data 0.113 (0.179)	Loss 4.9660 (5.0071)	Prec@1 4.688 (4.637)	Prec@5 19.531 (16.042)
Epoch: [25][1960/7045]	Time 0.102 (0.242)	Data 0.003 (0.179)	Loss 4.9907 (5.0070)	Prec@1 3.125 (4.639)	Prec@5 13.281 (16.044)
Epoch: [25][1970/7045]	Time 0.189 (0.242)	Data 0.137 (0.179)	Loss 5.0175 (5.0071)	Prec@1 3.516 (4.639)	Prec@5 13.281 (16.046)
Epoch: [25][1980/7045]	Time 0.323 (0.242)	Data 0.272 (0.179)	Loss 4.9700 (5.0069)	Prec@1 5.859 (4.641)	Prec@5 16.797 (16.049)
Epoch: [25][1990/7045]	Time 0.220 (0.242)	Data 0.169 (0.179)	Loss 4.8897 (5.0068)	Prec@1 4.297 (4.641)	Prec@5 18.750 (16.051)
Epoch: [25][2000/7045]	Time 0.481 (0.242)	Data 0.430 (0.179)	Loss 5.1907 (5.0069)	Prec@1 0.781 (4.638)	Prec@5 12.109 (16.047)
Epoch: [25][2010/7045]	Time 0.250 (0.242)	Data 0.191 (0.179)	Loss 4.9940 (5.0069)	Prec@1 4.688 (4.638)	Prec@5 16.016 (16.047)
Epoch: [25][2020/7045]	Time 0.504 (0.242)	Data 0.453 (0.179)	Loss 5.0389 (5.0071)	Prec@1 3.906 (4.636)	Prec@5 14.062 (16.041)
Epoch: [25][2030/7045]	Time 0.108 (0.242)	Data 0.001 (0.179)	Loss 5.0608 (5.0070)	Prec@1 4.688 (4.637)	Prec@5 16.406 (16.045)
Epoch: [25][2040/7045]	Time 0.224 (0.242)	Data 0.172 (0.179)	Loss 4.9807 (5.0070)	Prec@1 2.734 (4.639)	Prec@5 13.672 (16.046)
Epoch: [25][2050/7045]	Time 0.453 (0.242)	Data 0.400 (0.179)	Loss 5.0459 (5.0068)	Prec@1 3.906 (4.640)	Prec@5 16.797 (16.050)
Epoch: [25][2060/7045]	Time 0.456 (0.242)	Data 0.404 (0.179)	Loss 4.9204 (5.0067)	Prec@1 1.562 (4.637)	Prec@5 14.062 (16.050)
Epoch: [25][2070/7045]	Time 0.150 (0.242)	Data 0.093 (0.179)	Loss 5.0937 (5.0069)	Prec@1 1.953 (4.630)	Prec@5 10.938 (16.038)
Epoch: [25][2080/7045]	Time 0.101 (0.242)	Data 0.048 (0.179)	Loss 4.9739 (5.0070)	Prec@1 3.906 (4.630)	Prec@5 14.844 (16.036)
Epoch: [25][2090/7045]	Time 0.111 (0.242)	Data 0.001 (0.179)	Loss 4.8239 (5.0068)	Prec@1 4.297 (4.631)	Prec@5 21.094 (16.038)
Epoch: [25][2100/7045]	Time 0.309 (0.242)	Data 0.258 (0.179)	Loss 4.9026 (5.0068)	Prec@1 5.469 (4.633)	Prec@5 19.922 (16.039)
Epoch: [25][2110/7045]	Time 0.101 (0.242)	Data 0.007 (0.179)	Loss 5.0387 (5.0068)	Prec@1 4.297 (4.634)	Prec@5 14.062 (16.035)
Epoch: [25][2120/7045]	Time 0.584 (0.243)	Data 0.532 (0.179)	Loss 5.1347 (5.0070)	Prec@1 4.688 (4.636)	Prec@5 14.844 (16.033)
Epoch: [25][2130/7045]	Time 0.354 (0.243)	Data 0.295 (0.179)	Loss 5.1230 (5.0073)	Prec@1 5.078 (4.637)	Prec@5 16.016 (16.032)
Epoch: [25][2140/7045]	Time 0.134 (0.243)	Data 0.083 (0.179)	Loss 5.1144 (5.0074)	Prec@1 5.078 (4.637)	Prec@5 14.062 (16.029)
Epoch: [25][2150/7045]	Time 0.598 (0.243)	Data 0.541 (0.179)	Loss 5.1070 (5.0071)	Prec@1 4.688 (4.639)	Prec@5 15.234 (16.028)
Epoch: [25][2160/7045]	Time 0.101 (0.243)	Data 0.009 (0.179)	Loss 4.9291 (5.0070)	Prec@1 2.734 (4.637)	Prec@5 16.406 (16.029)
Epoch: [25][2170/7045]	Time 0.281 (0.243)	Data 0.230 (0.179)	Loss 5.0045 (5.0070)	Prec@1 3.906 (4.638)	Prec@5 17.188 (16.030)
Epoch: [25][2180/7045]	Time 0.101 (0.243)	Data 0.005 (0.179)	Loss 4.8508 (5.0069)	Prec@1 6.641 (4.639)	Prec@5 16.797 (16.033)
Epoch: [25][2190/7045]	Time 0.106 (0.243)	Data 0.004 (0.179)	Loss 5.0688 (5.0070)	Prec@1 3.906 (4.641)	Prec@5 17.188 (16.035)
Epoch: [25][2200/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 5.0107 (5.0069)	Prec@1 5.078 (4.642)	Prec@5 16.016 (16.038)
Epoch: [25][2210/7045]	Time 0.108 (0.243)	Data 0.004 (0.179)	Loss 4.9772 (5.0069)	Prec@1 4.688 (4.641)	Prec@5 18.750 (16.039)
Epoch: [25][2220/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 5.0870 (5.0067)	Prec@1 2.344 (4.644)	Prec@5 14.844 (16.045)
Epoch: [25][2230/7045]	Time 0.101 (0.243)	Data 0.003 (0.179)	Loss 4.9918 (5.0067)	Prec@1 6.641 (4.644)	Prec@5 18.359 (16.047)
Epoch: [25][2240/7045]	Time 0.165 (0.243)	Data 0.113 (0.179)	Loss 5.0147 (5.0066)	Prec@1 6.250 (4.641)	Prec@5 20.312 (16.049)
Epoch: [25][2250/7045]	Time 0.114 (0.243)	Data 0.062 (0.179)	Loss 5.0641 (5.0068)	Prec@1 5.078 (4.640)	Prec@5 14.453 (16.047)
Epoch: [25][2260/7045]	Time 0.251 (0.243)	Data 0.200 (0.179)	Loss 5.1166 (5.0070)	Prec@1 4.297 (4.638)	Prec@5 14.062 (16.045)
Epoch: [25][2270/7045]	Time 0.103 (0.243)	Data 0.001 (0.179)	Loss 5.0001 (5.0068)	Prec@1 6.250 (4.640)	Prec@5 19.141 (16.049)
Epoch: [25][2280/7045]	Time 0.430 (0.243)	Data 0.378 (0.179)	Loss 4.9996 (5.0064)	Prec@1 6.250 (4.644)	Prec@5 17.578 (16.060)
Epoch: [25][2290/7045]	Time 0.135 (0.243)	Data 0.082 (0.179)	Loss 5.1339 (5.0063)	Prec@1 3.516 (4.644)	Prec@5 13.281 (16.065)
Epoch: [25][2300/7045]	Time 0.444 (0.243)	Data 0.392 (0.179)	Loss 5.0309 (5.0062)	Prec@1 5.859 (4.645)	Prec@5 16.016 (16.067)
Epoch: [25][2310/7045]	Time 0.101 (0.243)	Data 0.001 (0.179)	Loss 4.9590 (5.0062)	Prec@1 5.078 (4.643)	Prec@5 15.234 (16.065)
Epoch: [25][2320/7045]	Time 0.386 (0.243)	Data 0.334 (0.179)	Loss 5.0852 (5.0062)	Prec@1 5.078 (4.641)	Prec@5 17.578 (16.066)
Epoch: [25][2330/7045]	Time 0.107 (0.243)	Data 0.001 (0.179)	Loss 5.1395 (5.0062)	Prec@1 6.250 (4.641)	Prec@5 15.234 (16.065)
Epoch: [25][2340/7045]	Time 0.397 (0.243)	Data 0.346 (0.179)	Loss 5.0064 (5.0062)	Prec@1 3.125 (4.641)	Prec@5 16.016 (16.061)
Epoch: [25][2350/7045]	Time 0.181 (0.243)	Data 0.128 (0.179)	Loss 4.9923 (5.0061)	Prec@1 5.469 (4.642)	Prec@5 18.359 (16.065)
Epoch: [25][2360/7045]	Time 0.600 (0.243)	Data 0.542 (0.179)	Loss 4.8608 (5.0061)	Prec@1 3.906 (4.643)	Prec@5 15.625 (16.065)
Epoch: [25][2370/7045]	Time 0.101 (0.243)	Data 0.001 (0.179)	Loss 4.8287 (5.0059)	Prec@1 5.078 (4.643)	Prec@5 17.578 (16.065)
Epoch: [25][2380/7045]	Time 0.620 (0.243)	Data 0.569 (0.179)	Loss 5.1924 (5.0060)	Prec@1 2.344 (4.643)	Prec@5 10.156 (16.061)
Epoch: [25][2390/7045]	Time 0.102 (0.243)	Data 0.002 (0.179)	Loss 5.1014 (5.0061)	Prec@1 1.562 (4.642)	Prec@5 14.453 (16.061)
Epoch: [25][2400/7045]	Time 0.463 (0.243)	Data 0.412 (0.179)	Loss 5.0959 (5.0062)	Prec@1 3.906 (4.641)	Prec@5 14.453 (16.058)
Epoch: [25][2410/7045]	Time 0.101 (0.243)	Data 0.005 (0.179)	Loss 5.0922 (5.0062)	Prec@1 4.297 (4.641)	Prec@5 16.797 (16.055)
Epoch: [25][2420/7045]	Time 0.447 (0.243)	Data 0.389 (0.179)	Loss 5.0428 (5.0062)	Prec@1 6.641 (4.643)	Prec@5 16.016 (16.054)
Epoch: [25][2430/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 4.8353 (5.0060)	Prec@1 4.688 (4.643)	Prec@5 18.750 (16.058)
Epoch: [25][2440/7045]	Time 0.372 (0.243)	Data 0.320 (0.179)	Loss 5.0388 (5.0059)	Prec@1 5.078 (4.643)	Prec@5 14.062 (16.057)
Epoch: [25][2450/7045]	Time 0.453 (0.243)	Data 0.394 (0.179)	Loss 5.0384 (5.0061)	Prec@1 6.250 (4.643)	Prec@5 15.625 (16.054)
Epoch: [25][2460/7045]	Time 0.237 (0.243)	Data 0.186 (0.179)	Loss 5.0225 (5.0059)	Prec@1 4.297 (4.644)	Prec@5 10.156 (16.055)
Epoch: [25][2470/7045]	Time 0.445 (0.243)	Data 0.388 (0.179)	Loss 4.8927 (5.0056)	Prec@1 8.594 (4.647)	Prec@5 22.656 (16.063)
Epoch: [25][2480/7045]	Time 0.183 (0.243)	Data 0.132 (0.179)	Loss 4.9766 (5.0055)	Prec@1 3.516 (4.648)	Prec@5 17.578 (16.064)
Epoch: [25][2490/7045]	Time 0.497 (0.243)	Data 0.444 (0.179)	Loss 4.9137 (5.0054)	Prec@1 5.469 (4.647)	Prec@5 14.453 (16.063)
Epoch: [25][2500/7045]	Time 0.181 (0.243)	Data 0.129 (0.179)	Loss 5.0127 (5.0054)	Prec@1 5.078 (4.648)	Prec@5 14.062 (16.065)
Epoch: [25][2510/7045]	Time 0.523 (0.243)	Data 0.467 (0.179)	Loss 5.0773 (5.0056)	Prec@1 3.125 (4.645)	Prec@5 14.844 (16.064)
Epoch: [25][2520/7045]	Time 0.110 (0.243)	Data 0.057 (0.179)	Loss 4.9532 (5.0055)	Prec@1 5.859 (4.646)	Prec@5 17.969 (16.064)
Epoch: [25][2530/7045]	Time 0.556 (0.243)	Data 0.506 (0.179)	Loss 5.0281 (5.0056)	Prec@1 3.516 (4.647)	Prec@5 16.406 (16.065)
Epoch: [25][2540/7045]	Time 0.144 (0.243)	Data 0.086 (0.179)	Loss 5.0979 (5.0057)	Prec@1 5.469 (4.646)	Prec@5 15.234 (16.063)
Epoch: [25][2550/7045]	Time 0.422 (0.243)	Data 0.370 (0.179)	Loss 4.9100 (5.0056)	Prec@1 6.250 (4.647)	Prec@5 19.141 (16.069)
Epoch: [25][2560/7045]	Time 0.205 (0.243)	Data 0.153 (0.179)	Loss 4.9018 (5.0054)	Prec@1 8.984 (4.649)	Prec@5 19.531 (16.075)
Epoch: [25][2570/7045]	Time 0.411 (0.243)	Data 0.360 (0.179)	Loss 5.0595 (5.0054)	Prec@1 5.859 (4.651)	Prec@5 16.797 (16.078)
Epoch: [25][2580/7045]	Time 0.214 (0.243)	Data 0.163 (0.179)	Loss 4.9808 (5.0053)	Prec@1 4.688 (4.651)	Prec@5 14.844 (16.079)
Epoch: [25][2590/7045]	Time 0.345 (0.243)	Data 0.293 (0.179)	Loss 5.0550 (5.0053)	Prec@1 3.906 (4.650)	Prec@5 16.406 (16.080)
Epoch: [25][2600/7045]	Time 0.338 (0.243)	Data 0.285 (0.179)	Loss 4.9816 (5.0052)	Prec@1 5.078 (4.647)	Prec@5 16.406 (16.077)
Epoch: [25][2610/7045]	Time 0.272 (0.243)	Data 0.220 (0.179)	Loss 4.9480 (5.0051)	Prec@1 7.031 (4.650)	Prec@5 17.188 (16.081)
Epoch: [25][2620/7045]	Time 0.426 (0.243)	Data 0.370 (0.179)	Loss 5.1070 (5.0050)	Prec@1 4.297 (4.654)	Prec@5 12.891 (16.085)
Epoch: [25][2630/7045]	Time 0.156 (0.243)	Data 0.105 (0.179)	Loss 4.9306 (5.0049)	Prec@1 5.859 (4.655)	Prec@5 16.797 (16.084)
Epoch: [25][2640/7045]	Time 0.365 (0.243)	Data 0.314 (0.179)	Loss 4.9652 (5.0048)	Prec@1 4.688 (4.657)	Prec@5 16.016 (16.087)
Epoch: [25][2650/7045]	Time 0.104 (0.243)	Data 0.051 (0.179)	Loss 5.1424 (5.0047)	Prec@1 5.469 (4.660)	Prec@5 17.578 (16.088)
Epoch: [25][2660/7045]	Time 0.212 (0.243)	Data 0.160 (0.179)	Loss 4.9380 (5.0045)	Prec@1 4.297 (4.660)	Prec@5 14.062 (16.089)
Epoch: [25][2670/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 5.0619 (5.0047)	Prec@1 3.906 (4.659)	Prec@5 13.281 (16.086)
Epoch: [25][2680/7045]	Time 0.152 (0.243)	Data 0.093 (0.179)	Loss 4.8765 (5.0046)	Prec@1 3.516 (4.659)	Prec@5 17.578 (16.088)
Epoch: [25][2690/7045]	Time 0.296 (0.243)	Data 0.245 (0.179)	Loss 4.9744 (5.0046)	Prec@1 5.078 (4.658)	Prec@5 17.969 (16.088)
Epoch: [25][2700/7045]	Time 0.132 (0.243)	Data 0.080 (0.179)	Loss 4.9779 (5.0047)	Prec@1 4.688 (4.658)	Prec@5 16.797 (16.085)
Epoch: [25][2710/7045]	Time 0.393 (0.243)	Data 0.342 (0.179)	Loss 5.1196 (5.0045)	Prec@1 3.906 (4.658)	Prec@5 13.281 (16.087)
Epoch: [25][2720/7045]	Time 0.102 (0.243)	Data 0.002 (0.179)	Loss 5.0925 (5.0046)	Prec@1 2.734 (4.657)	Prec@5 13.281 (16.089)
Epoch: [25][2730/7045]	Time 0.470 (0.243)	Data 0.418 (0.179)	Loss 5.1889 (5.0050)	Prec@1 3.906 (4.656)	Prec@5 15.625 (16.086)
Epoch: [25][2740/7045]	Time 0.101 (0.243)	Data 0.001 (0.179)	Loss 5.0630 (5.0054)	Prec@1 3.516 (4.657)	Prec@5 13.672 (16.081)
Epoch: [25][2750/7045]	Time 0.532 (0.243)	Data 0.479 (0.179)	Loss 4.9435 (5.0056)	Prec@1 5.859 (4.657)	Prec@5 17.578 (16.079)
Epoch: [25][2760/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 5.0722 (5.0058)	Prec@1 3.906 (4.657)	Prec@5 15.234 (16.077)
Epoch: [25][2770/7045]	Time 0.650 (0.243)	Data 0.592 (0.179)	Loss 4.9335 (5.0056)	Prec@1 5.469 (4.658)	Prec@5 18.750 (16.085)
Epoch: [25][2780/7045]	Time 0.108 (0.243)	Data 0.002 (0.179)	Loss 5.0557 (5.0055)	Prec@1 5.469 (4.660)	Prec@5 12.891 (16.085)
Epoch: [25][2790/7045]	Time 0.599 (0.243)	Data 0.546 (0.179)	Loss 5.0615 (5.0056)	Prec@1 2.344 (4.661)	Prec@5 16.797 (16.083)
Epoch: [25][2800/7045]	Time 0.101 (0.243)	Data 0.001 (0.179)	Loss 5.0453 (5.0055)	Prec@1 5.078 (4.663)	Prec@5 15.625 (16.085)
Epoch: [25][2810/7045]	Time 0.542 (0.243)	Data 0.489 (0.179)	Loss 4.9404 (5.0056)	Prec@1 6.250 (4.662)	Prec@5 16.016 (16.085)
Epoch: [25][2820/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 4.9681 (5.0056)	Prec@1 4.297 (4.661)	Prec@5 15.234 (16.082)
Epoch: [25][2830/7045]	Time 0.613 (0.243)	Data 0.562 (0.179)	Loss 5.0264 (5.0057)	Prec@1 4.297 (4.662)	Prec@5 15.234 (16.086)
Epoch: [25][2840/7045]	Time 0.102 (0.243)	Data 0.045 (0.179)	Loss 5.0197 (5.0057)	Prec@1 4.297 (4.665)	Prec@5 14.453 (16.087)
Epoch: [25][2850/7045]	Time 0.584 (0.243)	Data 0.532 (0.179)	Loss 4.9689 (5.0056)	Prec@1 4.297 (4.666)	Prec@5 17.578 (16.087)
Epoch: [25][2860/7045]	Time 0.102 (0.243)	Data 0.005 (0.179)	Loss 5.0295 (5.0055)	Prec@1 4.297 (4.666)	Prec@5 19.141 (16.091)
Epoch: [25][2870/7045]	Time 0.421 (0.243)	Data 0.369 (0.179)	Loss 5.0362 (5.0054)	Prec@1 5.078 (4.668)	Prec@5 17.188 (16.091)
Epoch: [25][2880/7045]	Time 0.100 (0.243)	Data 0.004 (0.179)	Loss 5.0868 (5.0059)	Prec@1 7.031 (4.664)	Prec@5 14.062 (16.080)
Epoch: [25][2890/7045]	Time 0.106 (0.243)	Data 0.009 (0.179)	Loss 5.0804 (5.0064)	Prec@1 5.859 (4.663)	Prec@5 16.016 (16.071)
Epoch: [25][2900/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 4.9985 (5.0066)	Prec@1 5.078 (4.659)	Prec@5 14.844 (16.065)
Epoch: [25][2910/7045]	Time 0.102 (0.243)	Data 0.008 (0.179)	Loss 5.1322 (5.0066)	Prec@1 1.953 (4.659)	Prec@5 14.062 (16.064)
Epoch: [25][2920/7045]	Time 0.187 (0.243)	Data 0.137 (0.179)	Loss 5.1307 (5.0068)	Prec@1 4.297 (4.658)	Prec@5 12.500 (16.060)
Epoch: [25][2930/7045]	Time 0.101 (0.243)	Data 0.048 (0.179)	Loss 5.2056 (5.0072)	Prec@1 3.516 (4.655)	Prec@5 13.281 (16.052)
Epoch: [25][2940/7045]	Time 0.334 (0.243)	Data 0.282 (0.179)	Loss 5.1972 (5.0076)	Prec@1 3.125 (4.653)	Prec@5 11.719 (16.046)
Epoch: [25][2950/7045]	Time 0.129 (0.243)	Data 0.077 (0.179)	Loss 4.9879 (5.0079)	Prec@1 5.078 (4.651)	Prec@5 18.750 (16.042)
Epoch: [25][2960/7045]	Time 0.475 (0.243)	Data 0.425 (0.179)	Loss 4.9453 (5.0080)	Prec@1 7.031 (4.651)	Prec@5 16.406 (16.038)
Epoch: [25][2970/7045]	Time 0.216 (0.243)	Data 0.163 (0.179)	Loss 4.9657 (5.0080)	Prec@1 4.297 (4.649)	Prec@5 17.969 (16.033)
Epoch: [25][2980/7045]	Time 0.607 (0.243)	Data 0.556 (0.179)	Loss 5.0005 (5.0081)	Prec@1 1.953 (4.646)	Prec@5 13.672 (16.030)
Epoch: [25][2990/7045]	Time 0.101 (0.243)	Data 0.001 (0.179)	Loss 5.0577 (5.0084)	Prec@1 2.344 (4.643)	Prec@5 14.453 (16.026)
Epoch: [25][3000/7045]	Time 0.637 (0.243)	Data 0.580 (0.179)	Loss 5.0577 (5.0086)	Prec@1 5.469 (4.640)	Prec@5 14.844 (16.023)
Epoch: [25][3010/7045]	Time 0.109 (0.243)	Data 0.001 (0.179)	Loss 5.1584 (5.0089)	Prec@1 4.297 (4.639)	Prec@5 15.625 (16.016)
Epoch: [25][3020/7045]	Time 0.639 (0.243)	Data 0.587 (0.179)	Loss 4.9822 (5.0090)	Prec@1 6.250 (4.639)	Prec@5 17.969 (16.015)
Epoch: [25][3030/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 5.0124 (5.0090)	Prec@1 5.469 (4.639)	Prec@5 15.234 (16.014)
Epoch: [25][3040/7045]	Time 0.500 (0.243)	Data 0.448 (0.179)	Loss 4.9385 (5.0091)	Prec@1 5.859 (4.640)	Prec@5 16.797 (16.015)
Epoch: [25][3050/7045]	Time 0.101 (0.243)	Data 0.001 (0.178)	Loss 4.9707 (5.0090)	Prec@1 3.906 (4.639)	Prec@5 18.750 (16.016)
Epoch: [25][3060/7045]	Time 0.279 (0.243)	Data 0.228 (0.179)	Loss 5.1654 (5.0089)	Prec@1 3.125 (4.638)	Prec@5 11.719 (16.018)
Epoch: [25][3070/7045]	Time 0.105 (0.243)	Data 0.001 (0.178)	Loss 5.0294 (5.0089)	Prec@1 4.688 (4.638)	Prec@5 17.969 (16.021)
Epoch: [25][3080/7045]	Time 0.276 (0.243)	Data 0.225 (0.178)	Loss 5.0641 (5.0089)	Prec@1 5.078 (4.640)	Prec@5 15.625 (16.021)
Epoch: [25][3090/7045]	Time 0.148 (0.243)	Data 0.097 (0.178)	Loss 5.0449 (5.0089)	Prec@1 4.297 (4.638)	Prec@5 14.062 (16.024)
Epoch: [25][3100/7045]	Time 0.187 (0.243)	Data 0.137 (0.178)	Loss 5.1201 (5.0091)	Prec@1 2.344 (4.636)	Prec@5 13.672 (16.022)
Epoch: [25][3110/7045]	Time 0.200 (0.243)	Data 0.150 (0.178)	Loss 4.8719 (5.0089)	Prec@1 5.078 (4.636)	Prec@5 15.234 (16.022)
Epoch: [25][3120/7045]	Time 0.227 (0.243)	Data 0.176 (0.178)	Loss 4.8260 (5.0089)	Prec@1 4.297 (4.637)	Prec@5 17.578 (16.022)
Epoch: [25][3130/7045]	Time 0.305 (0.243)	Data 0.254 (0.179)	Loss 4.8475 (5.0087)	Prec@1 5.469 (4.641)	Prec@5 19.531 (16.028)
Epoch: [25][3140/7045]	Time 0.253 (0.243)	Data 0.202 (0.179)	Loss 4.8021 (5.0086)	Prec@1 5.859 (4.643)	Prec@5 17.969 (16.033)
Epoch: [25][3150/7045]	Time 0.451 (0.243)	Data 0.400 (0.179)	Loss 5.1229 (5.0085)	Prec@1 3.906 (4.643)	Prec@5 12.500 (16.034)
Epoch: [25][3160/7045]	Time 0.188 (0.243)	Data 0.138 (0.179)	Loss 4.8285 (5.0085)	Prec@1 5.859 (4.644)	Prec@5 17.578 (16.034)
Epoch: [25][3170/7045]	Time 0.469 (0.243)	Data 0.418 (0.179)	Loss 5.0041 (5.0084)	Prec@1 5.469 (4.647)	Prec@5 12.891 (16.035)
Epoch: [25][3180/7045]	Time 0.174 (0.243)	Data 0.117 (0.179)	Loss 5.0209 (5.0085)	Prec@1 5.469 (4.647)	Prec@5 15.625 (16.034)
Epoch: [25][3190/7045]	Time 0.490 (0.243)	Data 0.439 (0.179)	Loss 4.9122 (5.0084)	Prec@1 3.516 (4.648)	Prec@5 16.016 (16.034)
Epoch: [25][3200/7045]	Time 0.140 (0.243)	Data 0.089 (0.179)	Loss 4.9744 (5.0083)	Prec@1 5.469 (4.649)	Prec@5 16.797 (16.035)
Epoch: [25][3210/7045]	Time 0.537 (0.243)	Data 0.486 (0.179)	Loss 5.1009 (5.0082)	Prec@1 4.297 (4.650)	Prec@5 16.016 (16.036)
Epoch: [25][3220/7045]	Time 0.211 (0.243)	Data 0.160 (0.179)	Loss 4.9793 (5.0084)	Prec@1 3.125 (4.649)	Prec@5 16.406 (16.035)
Epoch: [25][3230/7045]	Time 0.405 (0.243)	Data 0.354 (0.179)	Loss 4.9595 (5.0084)	Prec@1 6.641 (4.650)	Prec@5 16.797 (16.035)
Epoch: [25][3240/7045]	Time 0.110 (0.243)	Data 0.058 (0.179)	Loss 5.1708 (5.0087)	Prec@1 4.297 (4.646)	Prec@5 14.062 (16.029)
Epoch: [25][3250/7045]	Time 0.265 (0.243)	Data 0.213 (0.179)	Loss 5.0596 (5.0088)	Prec@1 5.469 (4.647)	Prec@5 16.797 (16.029)
Epoch: [25][3260/7045]	Time 0.260 (0.243)	Data 0.208 (0.179)	Loss 5.0517 (5.0089)	Prec@1 5.859 (4.647)	Prec@5 16.406 (16.028)
Epoch: [25][3270/7045]	Time 0.139 (0.243)	Data 0.088 (0.179)	Loss 4.9518 (5.0090)	Prec@1 4.688 (4.647)	Prec@5 16.016 (16.024)
Epoch: [25][3280/7045]	Time 0.304 (0.243)	Data 0.252 (0.179)	Loss 5.0752 (5.0090)	Prec@1 5.469 (4.646)	Prec@5 15.234 (16.024)
Epoch: [25][3290/7045]	Time 0.100 (0.243)	Data 0.044 (0.179)	Loss 5.0395 (5.0092)	Prec@1 2.734 (4.645)	Prec@5 15.234 (16.021)
Epoch: [25][3300/7045]	Time 0.335 (0.243)	Data 0.283 (0.179)	Loss 5.0417 (5.0092)	Prec@1 3.906 (4.645)	Prec@5 15.625 (16.020)
Epoch: [25][3310/7045]	Time 0.154 (0.243)	Data 0.102 (0.179)	Loss 5.0294 (5.0090)	Prec@1 5.469 (4.644)	Prec@5 17.188 (16.025)
Epoch: [25][3320/7045]	Time 0.235 (0.243)	Data 0.184 (0.179)	Loss 4.8907 (5.0091)	Prec@1 5.469 (4.643)	Prec@5 15.625 (16.024)
Epoch: [25][3330/7045]	Time 0.166 (0.243)	Data 0.107 (0.179)	Loss 5.1316 (5.0092)	Prec@1 3.516 (4.642)	Prec@5 16.016 (16.021)
Epoch: [25][3340/7045]	Time 0.103 (0.243)	Data 0.051 (0.179)	Loss 4.9925 (5.0093)	Prec@1 5.078 (4.643)	Prec@5 19.922 (16.024)
Epoch: [25][3350/7045]	Time 0.099 (0.243)	Data 0.008 (0.179)	Loss 5.0878 (5.0093)	Prec@1 3.125 (4.642)	Prec@5 14.453 (16.026)
Epoch: [25][3360/7045]	Time 0.101 (0.243)	Data 0.003 (0.179)	Loss 5.0743 (5.0093)	Prec@1 5.078 (4.642)	Prec@5 14.453 (16.027)
Epoch: [25][3370/7045]	Time 0.100 (0.243)	Data 0.001 (0.179)	Loss 4.7981 (5.0091)	Prec@1 7.422 (4.641)	Prec@5 21.094 (16.031)
Epoch: [25][3380/7045]	Time 0.100 (0.243)	Data 0.047 (0.179)	Loss 4.8996 (5.0090)	Prec@1 7.031 (4.642)	Prec@5 17.188 (16.031)
Epoch: [25][3390/7045]	Time 0.100 (0.243)	Data 0.046 (0.179)	Loss 5.0527 (5.0090)	Prec@1 2.734 (4.643)	Prec@5 18.750 (16.032)
Epoch: [25][3400/7045]	Time 0.395 (0.243)	Data 0.342 (0.179)	Loss 5.0666 (5.0088)	Prec@1 3.125 (4.642)	Prec@5 19.141 (16.037)
Epoch: [25][3410/7045]	Time 0.276 (0.243)	Data 0.218 (0.179)	Loss 5.1459 (5.0087)	Prec@1 2.734 (4.643)	Prec@5 16.016 (16.046)
Epoch: [25][3420/7045]	Time 0.536 (0.243)	Data 0.485 (0.179)	Loss 4.8375 (5.0086)	Prec@1 4.688 (4.643)	Prec@5 16.406 (16.047)
Epoch: [25][3430/7045]	Time 0.203 (0.243)	Data 0.152 (0.179)	Loss 4.9558 (5.0086)	Prec@1 5.078 (4.643)	Prec@5 17.969 (16.047)
Epoch: [25][3440/7045]	Time 0.526 (0.243)	Data 0.476 (0.179)	Loss 5.0487 (5.0085)	Prec@1 2.734 (4.643)	Prec@5 14.062 (16.051)
Epoch: [25][3450/7045]	Time 0.106 (0.243)	Data 0.003 (0.179)	Loss 4.9231 (5.0086)	Prec@1 5.859 (4.641)	Prec@5 20.703 (16.052)
Epoch: [25][3460/7045]	Time 0.193 (0.243)	Data 0.141 (0.179)	Loss 5.0629 (5.0087)	Prec@1 3.125 (4.641)	Prec@5 14.453 (16.050)
Epoch: [25][3470/7045]	Time 0.100 (0.243)	Data 0.005 (0.179)	Loss 5.1053 (5.0089)	Prec@1 4.297 (4.640)	Prec@5 13.281 (16.047)
Epoch: [25][3480/7045]	Time 0.152 (0.243)	Data 0.100 (0.179)	Loss 5.0808 (5.0090)	Prec@1 2.344 (4.641)	Prec@5 13.281 (16.047)
Epoch: [25][3490/7045]	Time 0.176 (0.243)	Data 0.125 (0.179)	Loss 4.9629 (5.0089)	Prec@1 6.250 (4.642)	Prec@5 16.797 (16.047)
Epoch: [25][3500/7045]	Time 0.411 (0.243)	Data 0.359 (0.179)	Loss 4.9033 (5.0087)	Prec@1 4.688 (4.644)	Prec@5 17.578 (16.051)
Epoch: [25][3510/7045]	Time 0.101 (0.243)	Data 0.009 (0.179)	Loss 5.0121 (5.0087)	Prec@1 5.859 (4.643)	Prec@5 14.453 (16.050)
Epoch: [25][3520/7045]	Time 0.399 (0.243)	Data 0.347 (0.179)	Loss 5.1041 (5.0088)	Prec@1 4.297 (4.643)	Prec@5 17.578 (16.051)
Epoch: [25][3530/7045]	Time 0.209 (0.243)	Data 0.151 (0.179)	Loss 5.0415 (5.0089)	Prec@1 5.078 (4.641)	Prec@5 13.672 (16.051)
Epoch: [25][3540/7045]	Time 0.310 (0.243)	Data 0.259 (0.179)	Loss 5.1133 (5.0088)	Prec@1 4.688 (4.644)	Prec@5 14.844 (16.053)
Epoch: [25][3550/7045]	Time 0.397 (0.243)	Data 0.337 (0.179)	Loss 4.8319 (5.0087)	Prec@1 7.422 (4.646)	Prec@5 19.531 (16.053)
Epoch: [25][3560/7045]	Time 0.317 (0.243)	Data 0.263 (0.179)	Loss 4.9604 (5.0086)	Prec@1 3.516 (4.646)	Prec@5 11.719 (16.054)
Epoch: [25][3570/7045]	Time 0.239 (0.243)	Data 0.186 (0.179)	Loss 4.8317 (5.0086)	Prec@1 5.078 (4.647)	Prec@5 19.531 (16.054)
Epoch: [25][3580/7045]	Time 0.102 (0.243)	Data 0.045 (0.179)	Loss 5.0723 (5.0085)	Prec@1 5.078 (4.649)	Prec@5 12.109 (16.056)
Epoch: [25][3590/7045]	Time 0.100 (0.243)	Data 0.001 (0.179)	Loss 5.0422 (5.0086)	Prec@1 5.469 (4.647)	Prec@5 15.625 (16.054)
Epoch: [25][3600/7045]	Time 0.106 (0.243)	Data 0.054 (0.179)	Loss 5.1276 (5.0088)	Prec@1 2.344 (4.646)	Prec@5 13.672 (16.051)
Epoch: [25][3610/7045]	Time 0.379 (0.243)	Data 0.328 (0.179)	Loss 4.9574 (5.0089)	Prec@1 3.516 (4.645)	Prec@5 15.234 (16.049)
Epoch: [25][3620/7045]	Time 0.264 (0.243)	Data 0.205 (0.179)	Loss 4.9378 (5.0090)	Prec@1 5.078 (4.644)	Prec@5 15.625 (16.046)
Epoch: [25][3630/7045]	Time 0.446 (0.243)	Data 0.395 (0.179)	Loss 5.0937 (5.0091)	Prec@1 5.469 (4.643)	Prec@5 16.016 (16.043)
Epoch: [25][3640/7045]	Time 0.109 (0.243)	Data 0.003 (0.179)	Loss 5.1483 (5.0090)	Prec@1 3.516 (4.644)	Prec@5 12.109 (16.046)
Epoch: [25][3650/7045]	Time 0.227 (0.243)	Data 0.177 (0.179)	Loss 4.8426 (5.0087)	Prec@1 6.250 (4.645)	Prec@5 21.875 (16.049)
Epoch: [25][3660/7045]	Time 0.295 (0.243)	Data 0.236 (0.179)	Loss 4.8773 (5.0087)	Prec@1 5.078 (4.645)	Prec@5 15.625 (16.048)
Epoch: [25][3670/7045]	Time 0.103 (0.243)	Data 0.051 (0.179)	Loss 4.8399 (5.0084)	Prec@1 3.906 (4.646)	Prec@5 16.016 (16.053)
Epoch: [25][3680/7045]	Time 0.411 (0.243)	Data 0.361 (0.179)	Loss 5.0167 (5.0082)	Prec@1 5.859 (4.649)	Prec@5 15.234 (16.057)
Epoch: [25][3690/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 5.0034 (5.0081)	Prec@1 3.906 (4.649)	Prec@5 17.188 (16.059)
Epoch: [25][3700/7045]	Time 0.558 (0.243)	Data 0.507 (0.179)	Loss 5.0023 (5.0079)	Prec@1 5.078 (4.650)	Prec@5 14.453 (16.060)
Epoch: [25][3710/7045]	Time 0.101 (0.243)	Data 0.001 (0.179)	Loss 5.0855 (5.0078)	Prec@1 4.688 (4.650)	Prec@5 15.625 (16.065)
Epoch: [25][3720/7045]	Time 0.563 (0.243)	Data 0.512 (0.179)	Loss 4.9988 (5.0077)	Prec@1 5.078 (4.650)	Prec@5 16.797 (16.064)
Epoch: [25][3730/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 5.1195 (5.0078)	Prec@1 2.344 (4.650)	Prec@5 11.719 (16.060)
Epoch: [25][3740/7045]	Time 0.538 (0.243)	Data 0.486 (0.179)	Loss 5.0308 (5.0076)	Prec@1 4.297 (4.651)	Prec@5 12.109 (16.061)
Epoch: [25][3750/7045]	Time 0.324 (0.243)	Data 0.272 (0.179)	Loss 4.9317 (5.0075)	Prec@1 6.250 (4.654)	Prec@5 18.750 (16.063)
Epoch: [25][3760/7045]	Time 0.389 (0.243)	Data 0.331 (0.179)	Loss 4.9775 (5.0075)	Prec@1 5.859 (4.654)	Prec@5 16.406 (16.065)
Epoch: [25][3770/7045]	Time 0.362 (0.243)	Data 0.311 (0.179)	Loss 5.0696 (5.0076)	Prec@1 2.734 (4.654)	Prec@5 16.406 (16.062)
Epoch: [25][3780/7045]	Time 0.128 (0.243)	Data 0.071 (0.179)	Loss 4.9969 (5.0077)	Prec@1 3.516 (4.654)	Prec@5 17.188 (16.062)
Epoch: [25][3790/7045]	Time 0.230 (0.243)	Data 0.180 (0.179)	Loss 4.9385 (5.0079)	Prec@1 4.297 (4.652)	Prec@5 15.234 (16.057)
Epoch: [25][3800/7045]	Time 0.156 (0.243)	Data 0.104 (0.179)	Loss 5.0528 (5.0080)	Prec@1 3.516 (4.653)	Prec@5 14.062 (16.054)
Epoch: [25][3810/7045]	Time 0.288 (0.243)	Data 0.235 (0.179)	Loss 4.8935 (5.0082)	Prec@1 4.688 (4.649)	Prec@5 15.625 (16.048)
Epoch: [25][3820/7045]	Time 0.214 (0.243)	Data 0.162 (0.179)	Loss 4.8689 (5.0080)	Prec@1 5.078 (4.651)	Prec@5 17.578 (16.049)
Epoch: [25][3830/7045]	Time 0.106 (0.243)	Data 0.054 (0.179)	Loss 4.9403 (5.0078)	Prec@1 4.688 (4.653)	Prec@5 14.453 (16.050)
Epoch: [25][3840/7045]	Time 0.278 (0.243)	Data 0.227 (0.179)	Loss 5.0487 (5.0079)	Prec@1 5.859 (4.653)	Prec@5 16.406 (16.048)
Epoch: [25][3850/7045]	Time 0.373 (0.243)	Data 0.322 (0.179)	Loss 5.0205 (5.0079)	Prec@1 6.250 (4.654)	Prec@5 15.234 (16.049)
Epoch: [25][3860/7045]	Time 0.162 (0.243)	Data 0.109 (0.179)	Loss 5.0754 (5.0079)	Prec@1 5.469 (4.654)	Prec@5 15.625 (16.051)
Epoch: [25][3870/7045]	Time 0.472 (0.243)	Data 0.421 (0.179)	Loss 4.9993 (5.0080)	Prec@1 5.078 (4.652)	Prec@5 17.188 (16.052)
Epoch: [25][3880/7045]	Time 0.105 (0.243)	Data 0.005 (0.179)	Loss 4.9499 (5.0079)	Prec@1 5.859 (4.654)	Prec@5 19.141 (16.054)
Epoch: [25][3890/7045]	Time 0.431 (0.243)	Data 0.380 (0.179)	Loss 5.1104 (5.0078)	Prec@1 5.078 (4.654)	Prec@5 14.062 (16.058)
Epoch: [25][3900/7045]	Time 0.224 (0.243)	Data 0.171 (0.179)	Loss 4.9104 (5.0077)	Prec@1 7.031 (4.656)	Prec@5 17.188 (16.062)
Epoch: [25][3910/7045]	Time 0.317 (0.243)	Data 0.266 (0.179)	Loss 5.1067 (5.0075)	Prec@1 4.688 (4.657)	Prec@5 17.969 (16.065)
Epoch: [25][3920/7045]	Time 0.148 (0.243)	Data 0.096 (0.179)	Loss 5.0394 (5.0074)	Prec@1 3.516 (4.658)	Prec@5 14.844 (16.069)
Epoch: [25][3930/7045]	Time 0.102 (0.243)	Data 0.051 (0.180)	Loss 4.9759 (5.0074)	Prec@1 4.688 (4.658)	Prec@5 17.969 (16.072)
Epoch: [25][3940/7045]	Time 0.152 (0.243)	Data 0.101 (0.180)	Loss 5.1962 (5.0076)	Prec@1 3.516 (4.658)	Prec@5 12.109 (16.069)
Epoch: [25][3950/7045]	Time 0.318 (0.243)	Data 0.266 (0.180)	Loss 4.8884 (5.0075)	Prec@1 4.297 (4.658)	Prec@5 19.922 (16.073)
Epoch: [25][3960/7045]	Time 0.102 (0.243)	Data 0.011 (0.180)	Loss 5.1099 (5.0074)	Prec@1 7.812 (4.660)	Prec@5 17.578 (16.077)
Epoch: [25][3970/7045]	Time 0.227 (0.243)	Data 0.176 (0.180)	Loss 5.0002 (5.0076)	Prec@1 5.469 (4.659)	Prec@5 18.359 (16.074)
Epoch: [25][3980/7045]	Time 0.136 (0.243)	Data 0.083 (0.180)	Loss 5.1122 (5.0078)	Prec@1 4.688 (4.659)	Prec@5 13.672 (16.073)
Epoch: [25][3990/7045]	Time 0.280 (0.243)	Data 0.228 (0.180)	Loss 5.0104 (5.0078)	Prec@1 5.859 (4.659)	Prec@5 17.188 (16.072)
Epoch: [25][4000/7045]	Time 0.330 (0.243)	Data 0.278 (0.180)	Loss 4.9898 (5.0078)	Prec@1 5.078 (4.659)	Prec@5 18.359 (16.071)
Epoch: [25][4010/7045]	Time 0.103 (0.243)	Data 0.050 (0.180)	Loss 5.0696 (5.0081)	Prec@1 4.688 (4.656)	Prec@5 14.844 (16.065)
Epoch: [25][4020/7045]	Time 0.645 (0.243)	Data 0.587 (0.180)	Loss 4.8972 (5.0082)	Prec@1 3.906 (4.654)	Prec@5 16.016 (16.062)
Epoch: [25][4030/7045]	Time 0.118 (0.243)	Data 0.062 (0.180)	Loss 5.0064 (5.0082)	Prec@1 3.125 (4.653)	Prec@5 15.234 (16.061)
Epoch: [25][4040/7045]	Time 0.707 (0.243)	Data 0.649 (0.180)	Loss 4.9335 (5.0080)	Prec@1 7.031 (4.653)	Prec@5 18.750 (16.063)
Epoch: [25][4050/7045]	Time 0.102 (0.243)	Data 0.050 (0.180)	Loss 4.9486 (5.0080)	Prec@1 6.641 (4.654)	Prec@5 17.188 (16.063)
Epoch: [25][4060/7045]	Time 0.730 (0.243)	Data 0.674 (0.180)	Loss 4.9698 (5.0081)	Prec@1 3.906 (4.652)	Prec@5 16.406 (16.059)
Epoch: [25][4070/7045]	Time 0.101 (0.243)	Data 0.001 (0.179)	Loss 5.0313 (5.0081)	Prec@1 6.250 (4.652)	Prec@5 16.406 (16.061)
Epoch: [25][4080/7045]	Time 0.419 (0.243)	Data 0.368 (0.180)	Loss 5.0438 (5.0082)	Prec@1 3.125 (4.653)	Prec@5 16.016 (16.062)
Epoch: [25][4090/7045]	Time 0.100 (0.243)	Data 0.045 (0.179)	Loss 4.9541 (5.0081)	Prec@1 4.688 (4.654)	Prec@5 19.922 (16.066)
Epoch: [25][4100/7045]	Time 0.348 (0.243)	Data 0.297 (0.180)	Loss 4.8979 (5.0078)	Prec@1 4.297 (4.655)	Prec@5 19.922 (16.072)
Epoch: [25][4110/7045]	Time 0.134 (0.243)	Data 0.084 (0.180)	Loss 4.9060 (5.0079)	Prec@1 6.250 (4.655)	Prec@5 19.531 (16.073)
Epoch: [25][4120/7045]	Time 0.374 (0.243)	Data 0.322 (0.180)	Loss 4.9119 (5.0080)	Prec@1 3.125 (4.651)	Prec@5 15.234 (16.070)
Epoch: [25][4130/7045]	Time 0.481 (0.243)	Data 0.430 (0.180)	Loss 4.9790 (5.0079)	Prec@1 5.078 (4.653)	Prec@5 18.359 (16.072)
Epoch: [25][4140/7045]	Time 0.181 (0.243)	Data 0.130 (0.180)	Loss 4.9999 (5.0078)	Prec@1 4.688 (4.653)	Prec@5 16.406 (16.075)
Epoch: [25][4150/7045]	Time 0.273 (0.243)	Data 0.217 (0.180)	Loss 5.0494 (5.0078)	Prec@1 4.297 (4.652)	Prec@5 15.625 (16.073)
Epoch: [25][4160/7045]	Time 0.570 (0.243)	Data 0.519 (0.180)	Loss 5.0108 (5.0077)	Prec@1 3.125 (4.651)	Prec@5 14.844 (16.072)
Epoch: [25][4170/7045]	Time 0.102 (0.243)	Data 0.050 (0.180)	Loss 5.2194 (5.0077)	Prec@1 3.906 (4.650)	Prec@5 15.625 (16.072)
Epoch: [25][4180/7045]	Time 0.244 (0.243)	Data 0.192 (0.180)	Loss 4.9462 (5.0076)	Prec@1 5.469 (4.650)	Prec@5 17.188 (16.075)
Epoch: [25][4190/7045]	Time 0.154 (0.243)	Data 0.102 (0.180)	Loss 4.9463 (5.0076)	Prec@1 5.078 (4.651)	Prec@5 15.234 (16.074)
Epoch: [25][4200/7045]	Time 0.400 (0.243)	Data 0.342 (0.180)	Loss 4.9249 (5.0076)	Prec@1 7.422 (4.652)	Prec@5 19.922 (16.075)
Epoch: [25][4210/7045]	Time 0.110 (0.243)	Data 0.058 (0.180)	Loss 5.0117 (5.0076)	Prec@1 3.516 (4.651)	Prec@5 16.797 (16.077)
Epoch: [25][4220/7045]	Time 0.502 (0.243)	Data 0.445 (0.180)	Loss 4.8591 (5.0075)	Prec@1 5.859 (4.651)	Prec@5 16.406 (16.075)
Epoch: [25][4230/7045]	Time 0.304 (0.243)	Data 0.253 (0.180)	Loss 4.9735 (5.0075)	Prec@1 2.734 (4.651)	Prec@5 15.625 (16.075)
Epoch: [25][4240/7045]	Time 0.099 (0.243)	Data 0.001 (0.180)	Loss 5.1072 (5.0076)	Prec@1 3.125 (4.651)	Prec@5 12.109 (16.073)
Epoch: [25][4250/7045]	Time 0.224 (0.243)	Data 0.173 (0.180)	Loss 5.0210 (5.0078)	Prec@1 3.906 (4.652)	Prec@5 17.969 (16.073)
Epoch: [25][4260/7045]	Time 0.193 (0.243)	Data 0.143 (0.180)	Loss 4.9646 (5.0077)	Prec@1 6.250 (4.654)	Prec@5 19.531 (16.075)
Epoch: [25][4270/7045]	Time 0.374 (0.243)	Data 0.315 (0.180)	Loss 4.9374 (5.0077)	Prec@1 5.078 (4.656)	Prec@5 17.969 (16.076)
Epoch: [25][4280/7045]	Time 0.103 (0.243)	Data 0.013 (0.180)	Loss 5.0059 (5.0078)	Prec@1 5.078 (4.657)	Prec@5 16.797 (16.078)
Epoch: [25][4290/7045]	Time 0.618 (0.244)	Data 0.567 (0.180)	Loss 5.0990 (5.0078)	Prec@1 3.125 (4.658)	Prec@5 13.281 (16.078)
Epoch: [25][4300/7045]	Time 0.284 (0.244)	Data 0.232 (0.180)	Loss 4.9251 (5.0078)	Prec@1 3.906 (4.657)	Prec@5 15.625 (16.079)
Epoch: [25][4310/7045]	Time 0.348 (0.244)	Data 0.296 (0.180)	Loss 5.0034 (5.0079)	Prec@1 6.250 (4.657)	Prec@5 19.922 (16.077)
Epoch: [25][4320/7045]	Time 0.102 (0.244)	Data 0.002 (0.180)	Loss 4.9636 (5.0078)	Prec@1 3.906 (4.657)	Prec@5 17.578 (16.078)
Epoch: [25][4330/7045]	Time 0.251 (0.244)	Data 0.198 (0.180)	Loss 4.9343 (5.0077)	Prec@1 6.250 (4.657)	Prec@5 20.312 (16.081)
Epoch: [25][4340/7045]	Time 0.122 (0.244)	Data 0.071 (0.180)	Loss 4.9719 (5.0077)	Prec@1 5.859 (4.658)	Prec@5 14.844 (16.080)
Epoch: [25][4350/7045]	Time 0.272 (0.244)	Data 0.221 (0.180)	Loss 4.8889 (5.0077)	Prec@1 3.906 (4.658)	Prec@5 15.625 (16.079)
Epoch: [25][4360/7045]	Time 0.503 (0.244)	Data 0.451 (0.180)	Loss 5.0516 (5.0077)	Prec@1 5.469 (4.658)	Prec@5 16.797 (16.080)
Epoch: [25][4370/7045]	Time 0.102 (0.244)	Data 0.001 (0.180)	Loss 4.9971 (5.0076)	Prec@1 4.297 (4.658)	Prec@5 16.016 (16.080)
Epoch: [25][4380/7045]	Time 0.153 (0.244)	Data 0.102 (0.180)	Loss 5.1244 (5.0076)	Prec@1 2.344 (4.658)	Prec@5 11.719 (16.081)
Epoch: [25][4390/7045]	Time 0.447 (0.244)	Data 0.396 (0.180)	Loss 4.9040 (5.0076)	Prec@1 4.688 (4.658)	Prec@5 18.359 (16.079)
Epoch: [25][4400/7045]	Time 0.150 (0.244)	Data 0.099 (0.180)	Loss 4.9275 (5.0076)	Prec@1 4.688 (4.658)	Prec@5 15.625 (16.080)
Epoch: [25][4410/7045]	Time 0.354 (0.244)	Data 0.302 (0.180)	Loss 5.0838 (5.0078)	Prec@1 2.344 (4.658)	Prec@5 12.891 (16.078)
Epoch: [25][4420/7045]	Time 0.132 (0.244)	Data 0.081 (0.180)	Loss 4.9780 (5.0077)	Prec@1 5.078 (4.659)	Prec@5 15.625 (16.079)
Epoch: [25][4430/7045]	Time 0.592 (0.244)	Data 0.540 (0.180)	Loss 5.1204 (5.0078)	Prec@1 6.641 (4.659)	Prec@5 15.625 (16.076)
Epoch: [25][4440/7045]	Time 0.154 (0.244)	Data 0.103 (0.180)	Loss 5.0861 (5.0077)	Prec@1 3.906 (4.659)	Prec@5 14.453 (16.078)
Epoch: [25][4450/7045]	Time 0.611 (0.244)	Data 0.559 (0.180)	Loss 4.8731 (5.0077)	Prec@1 3.516 (4.659)	Prec@5 19.922 (16.080)
Epoch: [25][4460/7045]	Time 0.119 (0.244)	Data 0.069 (0.180)	Loss 5.0772 (5.0076)	Prec@1 3.125 (4.659)	Prec@5 14.453 (16.082)
Epoch: [25][4470/7045]	Time 0.740 (0.244)	Data 0.687 (0.180)	Loss 5.2343 (5.0076)	Prec@1 4.297 (4.658)	Prec@5 13.281 (16.084)
Epoch: [25][4480/7045]	Time 0.100 (0.244)	Data 0.001 (0.180)	Loss 4.9912 (5.0076)	Prec@1 7.031 (4.658)	Prec@5 17.578 (16.083)
Epoch: [25][4490/7045]	Time 0.641 (0.244)	Data 0.584 (0.180)	Loss 4.8307 (5.0074)	Prec@1 7.422 (4.660)	Prec@5 23.047 (16.086)
Epoch: [25][4500/7045]	Time 0.109 (0.244)	Data 0.001 (0.180)	Loss 4.9413 (5.0075)	Prec@1 4.297 (4.659)	Prec@5 15.625 (16.086)
Epoch: [25][4510/7045]	Time 0.473 (0.244)	Data 0.422 (0.180)	Loss 4.9521 (5.0074)	Prec@1 5.469 (4.660)	Prec@5 17.578 (16.088)
Epoch: [25][4520/7045]	Time 0.102 (0.244)	Data 0.001 (0.180)	Loss 4.9518 (5.0075)	Prec@1 3.125 (4.659)	Prec@5 17.578 (16.088)
Epoch: [25][4530/7045]	Time 0.203 (0.244)	Data 0.152 (0.180)	Loss 5.0456 (5.0075)	Prec@1 4.297 (4.661)	Prec@5 13.672 (16.089)
Epoch: [25][4540/7045]	Time 0.102 (0.244)	Data 0.001 (0.180)	Loss 5.0256 (5.0076)	Prec@1 3.906 (4.660)	Prec@5 15.625 (16.088)
Epoch: [25][4550/7045]	Time 0.109 (0.244)	Data 0.007 (0.180)	Loss 4.9064 (5.0076)	Prec@1 5.469 (4.661)	Prec@5 16.797 (16.088)
Epoch: [25][4560/7045]	Time 0.101 (0.244)	Data 0.003 (0.180)	Loss 4.8438 (5.0075)	Prec@1 5.859 (4.663)	Prec@5 17.578 (16.091)
Epoch: [25][4570/7045]	Time 0.100 (0.244)	Data 0.046 (0.180)	Loss 4.8912 (5.0074)	Prec@1 3.125 (4.664)	Prec@5 16.016 (16.091)
Epoch: [25][4580/7045]	Time 0.101 (0.244)	Data 0.046 (0.180)	Loss 4.7929 (5.0073)	Prec@1 6.641 (4.665)	Prec@5 20.703 (16.091)
Epoch: [25][4590/7045]	Time 0.101 (0.244)	Data 0.048 (0.180)	Loss 4.8216 (5.0073)	Prec@1 6.641 (4.666)	Prec@5 21.094 (16.095)
Epoch: [25][4600/7045]	Time 0.289 (0.244)	Data 0.237 (0.180)	Loss 5.0737 (5.0075)	Prec@1 3.516 (4.665)	Prec@5 14.453 (16.094)
Epoch: [25][4610/7045]	Time 0.102 (0.244)	Data 0.001 (0.180)	Loss 5.0861 (5.0076)	Prec@1 4.688 (4.664)	Prec@5 14.453 (16.089)
Epoch: [25][4620/7045]	Time 0.329 (0.244)	Data 0.278 (0.180)	Loss 5.0101 (5.0075)	Prec@1 4.688 (4.666)	Prec@5 14.453 (16.092)
Epoch: [25][4630/7045]	Time 0.270 (0.244)	Data 0.219 (0.180)	Loss 4.9755 (5.0075)	Prec@1 5.469 (4.669)	Prec@5 19.141 (16.096)
Epoch: [25][4640/7045]	Time 0.298 (0.244)	Data 0.247 (0.180)	Loss 5.2338 (5.0076)	Prec@1 4.297 (4.667)	Prec@5 14.844 (16.092)
Epoch: [25][4650/7045]	Time 0.517 (0.244)	Data 0.466 (0.180)	Loss 5.0487 (5.0076)	Prec@1 2.344 (4.665)	Prec@5 15.234 (16.091)
Epoch: [25][4660/7045]	Time 0.248 (0.244)	Data 0.197 (0.180)	Loss 4.9909 (5.0077)	Prec@1 4.688 (4.665)	Prec@5 16.406 (16.092)
Epoch: [25][4670/7045]	Time 0.327 (0.244)	Data 0.276 (0.180)	Loss 4.9276 (5.0076)	Prec@1 4.688 (4.666)	Prec@5 16.797 (16.093)
Epoch: [25][4680/7045]	Time 0.101 (0.244)	Data 0.046 (0.180)	Loss 5.0817 (5.0076)	Prec@1 6.250 (4.667)	Prec@5 16.016 (16.093)
Epoch: [25][4690/7045]	Time 0.240 (0.244)	Data 0.187 (0.180)	Loss 4.9423 (5.0076)	Prec@1 7.812 (4.667)	Prec@5 17.969 (16.093)
Epoch: [25][4700/7045]	Time 0.100 (0.244)	Data 0.005 (0.180)	Loss 4.9718 (5.0076)	Prec@1 5.859 (4.668)	Prec@5 15.625 (16.092)
Epoch: [25][4710/7045]	Time 0.102 (0.244)	Data 0.050 (0.180)	Loss 5.0152 (5.0075)	Prec@1 4.688 (4.668)	Prec@5 16.016 (16.094)
Epoch: [25][4720/7045]	Time 0.196 (0.244)	Data 0.146 (0.180)	Loss 4.9721 (5.0075)	Prec@1 4.297 (4.668)	Prec@5 17.578 (16.096)
Epoch: [25][4730/7045]	Time 0.352 (0.244)	Data 0.293 (0.180)	Loss 4.8850 (5.0074)	Prec@1 6.250 (4.669)	Prec@5 20.703 (16.097)
Epoch: [25][4740/7045]	Time 0.364 (0.244)	Data 0.305 (0.180)	Loss 4.9167 (5.0074)	Prec@1 8.203 (4.670)	Prec@5 19.922 (16.099)
Epoch: [25][4750/7045]	Time 0.351 (0.244)	Data 0.301 (0.180)	Loss 5.1283 (5.0074)	Prec@1 1.172 (4.669)	Prec@5 12.500 (16.097)
Epoch: [25][4760/7045]	Time 0.108 (0.244)	Data 0.052 (0.180)	Loss 5.0096 (5.0075)	Prec@1 6.250 (4.669)	Prec@5 17.188 (16.095)
Epoch: [25][4770/7045]	Time 0.202 (0.244)	Data 0.151 (0.180)	Loss 4.8894 (5.0074)	Prec@1 4.297 (4.670)	Prec@5 17.188 (16.097)
Epoch: [25][4780/7045]	Time 0.102 (0.244)	Data 0.008 (0.180)	Loss 5.0766 (5.0074)	Prec@1 3.516 (4.669)	Prec@5 13.281 (16.095)
Epoch: [25][4790/7045]	Time 0.336 (0.244)	Data 0.285 (0.180)	Loss 4.9876 (5.0075)	Prec@1 4.688 (4.669)	Prec@5 17.188 (16.094)
Epoch: [25][4800/7045]	Time 0.105 (0.244)	Data 0.053 (0.180)	Loss 5.3661 (5.0076)	Prec@1 2.734 (4.668)	Prec@5 15.234 (16.093)
Epoch: [25][4810/7045]	Time 0.229 (0.244)	Data 0.177 (0.180)	Loss 5.1528 (5.0079)	Prec@1 5.859 (4.667)	Prec@5 14.844 (16.089)
Epoch: [25][4820/7045]	Time 0.100 (0.244)	Data 0.048 (0.180)	Loss 4.9271 (5.0079)	Prec@1 5.859 (4.667)	Prec@5 19.141 (16.090)
Epoch: [25][4830/7045]	Time 0.167 (0.244)	Data 0.108 (0.180)	Loss 4.9748 (5.0079)	Prec@1 7.812 (4.668)	Prec@5 18.750 (16.092)
Epoch: [25][4840/7045]	Time 0.101 (0.244)	Data 0.001 (0.180)	Loss 4.9912 (5.0078)	Prec@1 3.125 (4.670)	Prec@5 17.969 (16.094)
Epoch: [25][4850/7045]	Time 0.101 (0.244)	Data 0.001 (0.180)	Loss 4.9851 (5.0078)	Prec@1 5.859 (4.671)	Prec@5 13.672 (16.093)
Epoch: [25][4860/7045]	Time 0.103 (0.244)	Data 0.001 (0.180)	Loss 5.0703 (5.0079)	Prec@1 3.906 (4.669)	Prec@5 14.062 (16.091)
Epoch: [25][4870/7045]	Time 0.101 (0.244)	Data 0.001 (0.180)	Loss 4.9740 (5.0079)	Prec@1 6.641 (4.670)	Prec@5 16.016 (16.091)
Epoch: [25][4880/7045]	Time 0.740 (0.244)	Data 0.688 (0.180)	Loss 4.9411 (5.0078)	Prec@1 3.516 (4.670)	Prec@5 14.062 (16.091)
Epoch: [25][4890/7045]	Time 0.317 (0.244)	Data 0.261 (0.180)	Loss 5.2279 (5.0079)	Prec@1 6.250 (4.671)	Prec@5 15.234 (16.090)
Epoch: [25][4900/7045]	Time 0.128 (0.244)	Data 0.070 (0.180)	Loss 4.9096 (5.0078)	Prec@1 5.469 (4.671)	Prec@5 17.969 (16.090)
Epoch: [25][4910/7045]	Time 0.578 (0.244)	Data 0.526 (0.180)	Loss 4.9626 (5.0078)	Prec@1 5.078 (4.671)	Prec@5 16.016 (16.091)
Epoch: [25][4920/7045]	Time 0.101 (0.244)	Data 0.045 (0.180)	Loss 5.1073 (5.0078)	Prec@1 3.125 (4.670)	Prec@5 15.625 (16.091)
Epoch: [25][4930/7045]	Time 0.309 (0.244)	Data 0.256 (0.180)	Loss 4.9918 (5.0078)	Prec@1 2.344 (4.669)	Prec@5 13.281 (16.088)
Epoch: [25][4940/7045]	Time 0.355 (0.244)	Data 0.304 (0.180)	Loss 5.0144 (5.0078)	Prec@1 2.734 (4.667)	Prec@5 15.234 (16.087)
Epoch: [25][4950/7045]	Time 0.111 (0.244)	Data 0.010 (0.180)	Loss 5.0097 (5.0078)	Prec@1 4.688 (4.668)	Prec@5 14.453 (16.086)
Epoch: [25][4960/7045]	Time 0.571 (0.244)	Data 0.519 (0.180)	Loss 5.1030 (5.0079)	Prec@1 2.734 (4.667)	Prec@5 14.453 (16.085)
Epoch: [25][4970/7045]	Time 0.103 (0.244)	Data 0.051 (0.180)	Loss 5.0822 (5.0080)	Prec@1 4.688 (4.667)	Prec@5 12.500 (16.084)
Epoch: [25][4980/7045]	Time 0.485 (0.244)	Data 0.434 (0.180)	Loss 5.0168 (5.0080)	Prec@1 4.688 (4.667)	Prec@5 12.891 (16.084)
Epoch: [25][4990/7045]	Time 0.116 (0.244)	Data 0.064 (0.180)	Loss 5.1177 (5.0081)	Prec@1 4.297 (4.667)	Prec@5 14.844 (16.082)
Epoch: [25][5000/7045]	Time 0.338 (0.244)	Data 0.286 (0.180)	Loss 4.9352 (5.0081)	Prec@1 7.031 (4.667)	Prec@5 18.750 (16.081)
Epoch: [25][5010/7045]	Time 0.108 (0.244)	Data 0.001 (0.180)	Loss 4.9731 (5.0081)	Prec@1 3.125 (4.668)	Prec@5 15.234 (16.080)
Epoch: [25][5020/7045]	Time 0.171 (0.244)	Data 0.117 (0.180)	Loss 5.0049 (5.0081)	Prec@1 4.297 (4.667)	Prec@5 15.625 (16.082)
Epoch: [25][5030/7045]	Time 0.108 (0.244)	Data 0.001 (0.180)	Loss 5.0112 (5.0080)	Prec@1 5.078 (4.668)	Prec@5 20.312 (16.085)
Epoch: [25][5040/7045]	Time 0.102 (0.244)	Data 0.049 (0.180)	Loss 5.0240 (5.0080)	Prec@1 4.688 (4.668)	Prec@5 15.625 (16.085)
Epoch: [25][5050/7045]	Time 0.109 (0.244)	Data 0.006 (0.180)	Loss 4.9474 (5.0080)	Prec@1 8.203 (4.668)	Prec@5 17.578 (16.083)
Epoch: [25][5060/7045]	Time 0.102 (0.244)	Data 0.049 (0.180)	Loss 4.9205 (5.0080)	Prec@1 3.906 (4.669)	Prec@5 17.578 (16.083)
Epoch: [25][5070/7045]	Time 0.101 (0.244)	Data 0.006 (0.180)	Loss 5.1293 (5.0081)	Prec@1 2.734 (4.667)	Prec@5 14.844 (16.081)
Epoch: [25][5080/7045]	Time 0.248 (0.244)	Data 0.196 (0.180)	Loss 5.2462 (5.0083)	Prec@1 2.734 (4.666)	Prec@5 13.281 (16.078)
Epoch: [25][5090/7045]	Time 0.107 (0.244)	Data 0.002 (0.180)	Loss 5.0048 (5.0083)	Prec@1 4.688 (4.666)	Prec@5 14.844 (16.079)
Epoch: [25][5100/7045]	Time 0.356 (0.244)	Data 0.303 (0.180)	Loss 5.0325 (5.0083)	Prec@1 5.078 (4.667)	Prec@5 16.016 (16.079)
Epoch: [25][5110/7045]	Time 0.106 (0.244)	Data 0.003 (0.180)	Loss 5.0326 (5.0083)	Prec@1 5.078 (4.668)	Prec@5 16.016 (16.081)
Epoch: [25][5120/7045]	Time 0.630 (0.244)	Data 0.578 (0.180)	Loss 5.1337 (5.0084)	Prec@1 5.078 (4.667)	Prec@5 12.500 (16.080)
Epoch: [25][5130/7045]	Time 0.106 (0.244)	Data 0.002 (0.180)	Loss 4.9374 (5.0084)	Prec@1 3.516 (4.667)	Prec@5 14.844 (16.078)
Epoch: [25][5140/7045]	Time 0.633 (0.244)	Data 0.581 (0.180)	Loss 5.0495 (5.0085)	Prec@1 3.906 (4.668)	Prec@5 16.797 (16.077)
Epoch: [25][5150/7045]	Time 0.101 (0.244)	Data 0.001 (0.180)	Loss 4.8878 (5.0085)	Prec@1 7.812 (4.669)	Prec@5 19.922 (16.080)
Epoch: [25][5160/7045]	Time 0.613 (0.244)	Data 0.555 (0.180)	Loss 4.9137 (5.0085)	Prec@1 3.125 (4.668)	Prec@5 16.406 (16.080)
Epoch: [25][5170/7045]	Time 0.107 (0.244)	Data 0.001 (0.180)	Loss 5.1244 (5.0085)	Prec@1 3.125 (4.669)	Prec@5 15.234 (16.082)
Epoch: [25][5180/7045]	Time 0.653 (0.244)	Data 0.602 (0.180)	Loss 4.9516 (5.0085)	Prec@1 3.906 (4.670)	Prec@5 19.531 (16.082)
Epoch: [25][5190/7045]	Time 0.102 (0.244)	Data 0.001 (0.180)	Loss 5.1076 (5.0085)	Prec@1 3.125 (4.671)	Prec@5 13.281 (16.082)
Epoch: [25][5200/7045]	Time 0.598 (0.244)	Data 0.545 (0.180)	Loss 5.0903 (5.0087)	Prec@1 3.125 (4.671)	Prec@5 9.375 (16.079)
Epoch: [25][5210/7045]	Time 0.103 (0.244)	Data 0.001 (0.180)	Loss 4.9206 (5.0087)	Prec@1 5.078 (4.671)	Prec@5 16.016 (16.080)
Epoch: [25][5220/7045]	Time 0.587 (0.244)	Data 0.536 (0.180)	Loss 5.0867 (5.0087)	Prec@1 4.297 (4.672)	Prec@5 15.625 (16.079)
Epoch: [25][5230/7045]	Time 0.103 (0.244)	Data 0.001 (0.180)	Loss 4.9855 (5.0086)	Prec@1 4.297 (4.671)	Prec@5 16.016 (16.081)
Epoch: [25][5240/7045]	Time 0.492 (0.244)	Data 0.441 (0.180)	Loss 5.0160 (5.0086)	Prec@1 5.078 (4.671)	Prec@5 18.750 (16.082)
Epoch: [25][5250/7045]	Time 0.102 (0.244)	Data 0.001 (0.180)	Loss 4.9178 (5.0086)	Prec@1 4.297 (4.670)	Prec@5 15.625 (16.081)
Epoch: [25][5260/7045]	Time 0.498 (0.244)	Data 0.439 (0.180)	Loss 4.9027 (5.0086)	Prec@1 6.250 (4.670)	Prec@5 18.359 (16.081)
Epoch: [25][5270/7045]	Time 0.101 (0.244)	Data 0.007 (0.180)	Loss 5.0147 (5.0086)	Prec@1 5.078 (4.670)	Prec@5 14.062 (16.081)
Epoch: [25][5280/7045]	Time 0.478 (0.244)	Data 0.427 (0.180)	Loss 5.0689 (5.0086)	Prec@1 4.688 (4.668)	Prec@5 16.797 (16.080)
Epoch: [25][5290/7045]	Time 0.100 (0.244)	Data 0.001 (0.180)	Loss 4.9059 (5.0086)	Prec@1 8.203 (4.668)	Prec@5 20.312 (16.080)
Epoch: [25][5300/7045]	Time 0.607 (0.244)	Data 0.556 (0.180)	Loss 4.9969 (5.0085)	Prec@1 3.516 (4.667)	Prec@5 17.969 (16.080)
Epoch: [25][5310/7045]	Time 0.252 (0.244)	Data 0.200 (0.180)	Loss 5.0277 (5.0085)	Prec@1 6.641 (4.668)	Prec@5 17.188 (16.081)
Epoch: [25][5320/7045]	Time 0.314 (0.244)	Data 0.262 (0.180)	Loss 5.1561 (5.0085)	Prec@1 5.078 (4.668)	Prec@5 13.672 (16.081)
Epoch: [25][5330/7045]	Time 0.100 (0.244)	Data 0.005 (0.180)	Loss 4.9615 (5.0086)	Prec@1 4.688 (4.667)	Prec@5 17.578 (16.078)
Epoch: [25][5340/7045]	Time 0.481 (0.244)	Data 0.422 (0.180)	Loss 5.0491 (5.0087)	Prec@1 6.250 (4.668)	Prec@5 16.797 (16.078)
Epoch: [25][5350/7045]	Time 0.195 (0.244)	Data 0.145 (0.180)	Loss 5.1310 (5.0087)	Prec@1 4.688 (4.668)	Prec@5 13.672 (16.079)
Epoch: [25][5360/7045]	Time 0.432 (0.244)	Data 0.379 (0.180)	Loss 4.9751 (5.0087)	Prec@1 8.203 (4.668)	Prec@5 19.922 (16.078)
Epoch: [25][5370/7045]	Time 0.496 (0.244)	Data 0.445 (0.180)	Loss 4.8749 (5.0088)	Prec@1 3.125 (4.667)	Prec@5 16.797 (16.077)
Epoch: [25][5380/7045]	Time 0.191 (0.244)	Data 0.140 (0.180)	Loss 5.0788 (5.0087)	Prec@1 3.516 (4.666)	Prec@5 12.891 (16.076)
Epoch: [25][5390/7045]	Time 0.470 (0.244)	Data 0.419 (0.180)	Loss 5.2237 (5.0087)	Prec@1 3.125 (4.666)	Prec@5 15.234 (16.077)
Epoch: [25][5400/7045]	Time 0.226 (0.244)	Data 0.169 (0.180)	Loss 4.9563 (5.0089)	Prec@1 2.344 (4.664)	Prec@5 12.109 (16.072)
Epoch: [25][5410/7045]	Time 0.417 (0.244)	Data 0.365 (0.180)	Loss 5.0054 (5.0090)	Prec@1 4.297 (4.663)	Prec@5 14.453 (16.070)
Epoch: [25][5420/7045]	Time 0.401 (0.244)	Data 0.349 (0.180)	Loss 5.0882 (5.0090)	Prec@1 4.688 (4.664)	Prec@5 16.016 (16.070)
Epoch: [25][5430/7045]	Time 0.141 (0.244)	Data 0.091 (0.180)	Loss 5.0752 (5.0089)	Prec@1 5.078 (4.665)	Prec@5 15.625 (16.071)
Epoch: [25][5440/7045]	Time 0.622 (0.244)	Data 0.571 (0.180)	Loss 5.0944 (5.0088)	Prec@1 4.688 (4.666)	Prec@5 14.062 (16.073)
Epoch: [25][5450/7045]	Time 0.108 (0.244)	Data 0.001 (0.180)	Loss 5.0192 (5.0089)	Prec@1 4.297 (4.665)	Prec@5 19.141 (16.073)
Epoch: [25][5460/7045]	Time 0.652 (0.244)	Data 0.600 (0.180)	Loss 5.0759 (5.0088)	Prec@1 3.516 (4.665)	Prec@5 14.844 (16.074)
Epoch: [25][5470/7045]	Time 0.220 (0.244)	Data 0.169 (0.180)	Loss 4.9628 (5.0088)	Prec@1 5.859 (4.665)	Prec@5 14.453 (16.074)
Epoch: [25][5480/7045]	Time 0.555 (0.244)	Data 0.503 (0.180)	Loss 4.9427 (5.0087)	Prec@1 3.906 (4.665)	Prec@5 17.188 (16.075)
Epoch: [25][5490/7045]	Time 0.260 (0.244)	Data 0.208 (0.180)	Loss 5.0832 (5.0087)	Prec@1 4.297 (4.664)	Prec@5 14.062 (16.075)
Epoch: [25][5500/7045]	Time 0.360 (0.244)	Data 0.309 (0.180)	Loss 5.0633 (5.0087)	Prec@1 3.125 (4.664)	Prec@5 15.234 (16.075)
Epoch: [25][5510/7045]	Time 0.393 (0.244)	Data 0.341 (0.180)	Loss 4.9575 (5.0086)	Prec@1 4.297 (4.665)	Prec@5 14.844 (16.077)
Epoch: [25][5520/7045]	Time 0.188 (0.244)	Data 0.137 (0.180)	Loss 5.0895 (5.0086)	Prec@1 4.688 (4.665)	Prec@5 12.109 (16.075)
Epoch: [25][5530/7045]	Time 0.209 (0.244)	Data 0.158 (0.180)	Loss 4.9322 (5.0087)	Prec@1 5.469 (4.666)	Prec@5 17.188 (16.074)
Epoch: [25][5540/7045]	Time 0.338 (0.244)	Data 0.286 (0.180)	Loss 5.0648 (5.0087)	Prec@1 5.078 (4.666)	Prec@5 16.406 (16.074)
Epoch: [25][5550/7045]	Time 0.107 (0.244)	Data 0.055 (0.180)	Loss 5.0810 (5.0087)	Prec@1 5.859 (4.665)	Prec@5 16.797 (16.073)
Epoch: [25][5560/7045]	Time 0.281 (0.244)	Data 0.229 (0.180)	Loss 5.1030 (5.0088)	Prec@1 3.125 (4.665)	Prec@5 13.281 (16.072)
Epoch: [25][5570/7045]	Time 0.102 (0.244)	Data 0.001 (0.180)	Loss 4.9693 (5.0089)	Prec@1 5.078 (4.664)	Prec@5 19.141 (16.072)
Epoch: [25][5580/7045]	Time 0.262 (0.244)	Data 0.211 (0.180)	Loss 5.0130 (5.0089)	Prec@1 3.516 (4.664)	Prec@5 17.969 (16.072)
Epoch: [25][5590/7045]	Time 0.101 (0.244)	Data 0.045 (0.180)	Loss 5.0196 (5.0089)	Prec@1 4.297 (4.663)	Prec@5 15.234 (16.069)
Epoch: [25][5600/7045]	Time 0.220 (0.244)	Data 0.168 (0.180)	Loss 4.9748 (5.0090)	Prec@1 5.859 (4.663)	Prec@5 20.312 (16.068)
Epoch: [25][5610/7045]	Time 0.103 (0.244)	Data 0.002 (0.180)	Loss 5.0387 (5.0089)	Prec@1 3.125 (4.664)	Prec@5 14.453 (16.071)
Epoch: [25][5620/7045]	Time 0.145 (0.244)	Data 0.093 (0.180)	Loss 4.9738 (5.0090)	Prec@1 3.906 (4.663)	Prec@5 15.234 (16.071)
Epoch: [25][5630/7045]	Time 0.102 (0.244)	Data 0.046 (0.180)	Loss 4.8748 (5.0089)	Prec@1 8.594 (4.663)	Prec@5 21.094 (16.072)
Epoch: [25][5640/7045]	Time 0.101 (0.244)	Data 0.008 (0.180)	Loss 4.7884 (5.0089)	Prec@1 7.812 (4.663)	Prec@5 20.703 (16.073)
Epoch: [25][5650/7045]	Time 0.819 (0.244)	Data 0.768 (0.180)	Loss 5.0004 (5.0088)	Prec@1 3.906 (4.664)	Prec@5 16.797 (16.075)
Epoch: [25][5660/7045]	Time 0.197 (0.244)	Data 0.147 (0.180)	Loss 5.0689 (5.0089)	Prec@1 4.297 (4.664)	Prec@5 16.406 (16.076)
Epoch: [25][5670/7045]	Time 0.237 (0.244)	Data 0.186 (0.180)	Loss 5.0441 (5.0090)	Prec@1 3.516 (4.663)	Prec@5 14.062 (16.075)
Epoch: [25][5680/7045]	Time 0.103 (0.244)	Data 0.051 (0.180)	Loss 5.1259 (5.0091)	Prec@1 5.078 (4.662)	Prec@5 13.672 (16.073)
Epoch: [25][5690/7045]	Time 0.110 (0.244)	Data 0.058 (0.180)	Loss 4.9884 (5.0091)	Prec@1 5.469 (4.662)	Prec@5 15.625 (16.072)
Epoch: [25][5700/7045]	Time 0.330 (0.244)	Data 0.280 (0.180)	Loss 5.1190 (5.0092)	Prec@1 4.688 (4.663)	Prec@5 12.891 (16.070)
Epoch: [25][5710/7045]	Time 0.154 (0.244)	Data 0.102 (0.180)	Loss 5.1582 (5.0093)	Prec@1 3.906 (4.661)	Prec@5 16.016 (16.066)
Epoch: [25][5720/7045]	Time 0.532 (0.244)	Data 0.480 (0.180)	Loss 5.1600 (5.0093)	Prec@1 2.344 (4.661)	Prec@5 12.500 (16.066)
Epoch: [25][5730/7045]	Time 0.303 (0.244)	Data 0.251 (0.180)	Loss 5.0516 (5.0093)	Prec@1 5.469 (4.661)	Prec@5 15.625 (16.067)
Epoch: [25][5740/7045]	Time 0.109 (0.244)	Data 0.056 (0.180)	Loss 4.9926 (5.0092)	Prec@1 4.297 (4.662)	Prec@5 17.969 (16.070)
Epoch: [25][5750/7045]	Time 0.101 (0.244)	Data 0.048 (0.180)	Loss 4.9395 (5.0091)	Prec@1 4.297 (4.664)	Prec@5 18.359 (16.072)
Epoch: [25][5760/7045]	Time 0.311 (0.244)	Data 0.260 (0.180)	Loss 5.0985 (5.0091)	Prec@1 4.297 (4.664)	Prec@5 15.625 (16.073)
Epoch: [25][5770/7045]	Time 0.390 (0.244)	Data 0.338 (0.180)	Loss 5.0942 (5.0091)	Prec@1 5.469 (4.665)	Prec@5 14.453 (16.073)
Epoch: [25][5780/7045]	Time 0.119 (0.244)	Data 0.068 (0.180)	Loss 4.8835 (5.0091)	Prec@1 7.031 (4.665)	Prec@5 19.531 (16.073)
Epoch: [25][5790/7045]	Time 0.346 (0.244)	Data 0.296 (0.180)	Loss 4.9513 (5.0091)	Prec@1 5.078 (4.665)	Prec@5 16.016 (16.072)
Epoch: [25][5800/7045]	Time 0.101 (0.244)	Data 0.001 (0.180)	Loss 4.8444 (5.0090)	Prec@1 4.297 (4.665)	Prec@5 18.750 (16.075)
Epoch: [25][5810/7045]	Time 0.101 (0.244)	Data 0.001 (0.180)	Loss 5.0085 (5.0091)	Prec@1 5.078 (4.664)	Prec@5 16.016 (16.072)
Epoch: [25][5820/7045]	Time 0.100 (0.244)	Data 0.001 (0.180)	Loss 4.9056 (5.0090)	Prec@1 4.297 (4.664)	Prec@5 16.406 (16.074)
Epoch: [25][5830/7045]	Time 0.236 (0.244)	Data 0.185 (0.180)	Loss 4.8977 (5.0089)	Prec@1 5.859 (4.664)	Prec@5 18.359 (16.074)
Epoch: [25][5840/7045]	Time 0.228 (0.244)	Data 0.177 (0.180)	Loss 5.0461 (5.0089)	Prec@1 3.906 (4.664)	Prec@5 14.844 (16.072)
Epoch: [25][5850/7045]	Time 0.102 (0.244)	Data 0.049 (0.180)	Loss 5.0879 (5.0090)	Prec@1 5.078 (4.664)	Prec@5 14.844 (16.072)
Epoch: [25][5860/7045]	Time 0.544 (0.244)	Data 0.486 (0.180)	Loss 4.9807 (5.0090)	Prec@1 3.516 (4.663)	Prec@5 14.844 (16.069)
Epoch: [25][5870/7045]	Time 0.101 (0.244)	Data 0.048 (0.180)	Loss 5.0943 (5.0091)	Prec@1 3.906 (4.663)	Prec@5 14.844 (16.069)
Epoch: [25][5880/7045]	Time 0.201 (0.244)	Data 0.150 (0.180)	Loss 5.0391 (5.0092)	Prec@1 3.906 (4.664)	Prec@5 14.062 (16.067)
Epoch: [25][5890/7045]	Time 0.102 (0.244)	Data 0.003 (0.180)	Loss 5.0360 (5.0093)	Prec@1 6.250 (4.664)	Prec@5 17.188 (16.067)
Epoch: [25][5900/7045]	Time 0.252 (0.244)	Data 0.198 (0.180)	Loss 4.9399 (5.0094)	Prec@1 4.297 (4.663)	Prec@5 13.672 (16.064)
Epoch: [25][5910/7045]	Time 0.101 (0.244)	Data 0.001 (0.180)	Loss 5.0425 (5.0095)	Prec@1 4.297 (4.663)	Prec@5 15.234 (16.061)
Epoch: [25][5920/7045]	Time 0.330 (0.244)	Data 0.279 (0.180)	Loss 4.9633 (5.0094)	Prec@1 3.125 (4.663)	Prec@5 17.578 (16.062)
Epoch: [25][5930/7045]	Time 0.120 (0.244)	Data 0.069 (0.180)	Loss 4.8307 (5.0093)	Prec@1 5.859 (4.662)	Prec@5 21.094 (16.061)
Epoch: [25][5940/7045]	Time 0.356 (0.244)	Data 0.305 (0.180)	Loss 4.9369 (5.0093)	Prec@1 5.078 (4.663)	Prec@5 15.625 (16.062)
Epoch: [25][5950/7045]	Time 0.247 (0.244)	Data 0.196 (0.180)	Loss 4.9502 (5.0091)	Prec@1 3.516 (4.664)	Prec@5 16.016 (16.064)
Epoch: [25][5960/7045]	Time 0.442 (0.244)	Data 0.390 (0.180)	Loss 5.0338 (5.0092)	Prec@1 6.641 (4.665)	Prec@5 16.406 (16.063)
Epoch: [25][5970/7045]	Time 0.102 (0.244)	Data 0.050 (0.180)	Loss 5.1481 (5.0092)	Prec@1 5.469 (4.665)	Prec@5 14.453 (16.061)
Epoch: [25][5980/7045]	Time 0.106 (0.244)	Data 0.007 (0.180)	Loss 4.9553 (5.0092)	Prec@1 6.641 (4.666)	Prec@5 18.750 (16.062)
Epoch: [25][5990/7045]	Time 0.102 (0.244)	Data 0.001 (0.180)	Loss 5.0421 (5.0092)	Prec@1 3.906 (4.667)	Prec@5 12.891 (16.063)
Epoch: [25][6000/7045]	Time 0.324 (0.244)	Data 0.273 (0.180)	Loss 5.0983 (5.0092)	Prec@1 4.297 (4.668)	Prec@5 13.672 (16.064)
Epoch: [25][6010/7045]	Time 0.657 (0.244)	Data 0.604 (0.180)	Loss 4.9173 (5.0092)	Prec@1 5.469 (4.668)	Prec@5 18.359 (16.064)
Epoch: [25][6020/7045]	Time 0.102 (0.244)	Data 0.009 (0.180)	Loss 4.9838 (5.0091)	Prec@1 5.078 (4.669)	Prec@5 16.016 (16.066)
Epoch: [25][6030/7045]	Time 0.489 (0.244)	Data 0.439 (0.180)	Loss 4.8504 (5.0090)	Prec@1 5.078 (4.671)	Prec@5 16.797 (16.067)
Epoch: [25][6040/7045]	Time 0.109 (0.244)	Data 0.001 (0.180)	Loss 5.0192 (5.0091)	Prec@1 4.297 (4.670)	Prec@5 12.891 (16.064)
Epoch: [25][6050/7045]	Time 0.444 (0.244)	Data 0.385 (0.180)	Loss 4.9262 (5.0091)	Prec@1 3.125 (4.670)	Prec@5 14.062 (16.064)
Epoch: [25][6060/7045]	Time 0.531 (0.244)	Data 0.478 (0.180)	Loss 4.9555 (5.0090)	Prec@1 3.906 (4.671)	Prec@5 17.969 (16.067)
Epoch: [25][6070/7045]	Time 0.235 (0.244)	Data 0.179 (0.180)	Loss 5.0521 (5.0089)	Prec@1 5.859 (4.674)	Prec@5 17.188 (16.069)
Epoch: [25][6080/7045]	Time 0.423 (0.244)	Data 0.372 (0.180)	Loss 4.9153 (5.0088)	Prec@1 7.031 (4.676)	Prec@5 16.797 (16.071)
Epoch: [25][6090/7045]	Time 0.108 (0.244)	Data 0.004 (0.180)	Loss 4.9774 (5.0088)	Prec@1 3.516 (4.676)	Prec@5 14.453 (16.071)
Epoch: [25][6100/7045]	Time 0.417 (0.244)	Data 0.366 (0.180)	Loss 5.1310 (5.0088)	Prec@1 4.688 (4.677)	Prec@5 13.281 (16.072)
Epoch: [25][6110/7045]	Time 0.250 (0.244)	Data 0.198 (0.180)	Loss 4.9792 (5.0089)	Prec@1 3.125 (4.676)	Prec@5 15.625 (16.069)
Epoch: [25][6120/7045]	Time 0.302 (0.244)	Data 0.251 (0.180)	Loss 5.1418 (5.0089)	Prec@1 5.078 (4.676)	Prec@5 14.062 (16.070)
Epoch: [25][6130/7045]	Time 0.219 (0.244)	Data 0.169 (0.180)	Loss 5.0140 (5.0088)	Prec@1 4.297 (4.675)	Prec@5 13.672 (16.069)
Epoch: [25][6140/7045]	Time 0.098 (0.244)	Data 0.046 (0.180)	Loss 4.8973 (5.0088)	Prec@1 2.344 (4.675)	Prec@5 17.188 (16.069)
Epoch: [25][6150/7045]	Time 0.191 (0.244)	Data 0.140 (0.180)	Loss 5.0087 (5.0087)	Prec@1 4.297 (4.677)	Prec@5 16.406 (16.069)
Epoch: [25][6160/7045]	Time 0.350 (0.244)	Data 0.298 (0.180)	Loss 4.9227 (5.0087)	Prec@1 6.250 (4.677)	Prec@5 18.359 (16.069)
Epoch: [25][6170/7045]	Time 0.102 (0.244)	Data 0.005 (0.180)	Loss 4.9856 (5.0087)	Prec@1 4.297 (4.676)	Prec@5 16.016 (16.069)
Epoch: [25][6180/7045]	Time 0.274 (0.244)	Data 0.222 (0.180)	Loss 4.9527 (5.0086)	Prec@1 3.516 (4.676)	Prec@5 13.672 (16.070)
Epoch: [25][6190/7045]	Time 0.298 (0.244)	Data 0.247 (0.180)	Loss 4.9283 (5.0086)	Prec@1 4.688 (4.676)	Prec@5 16.016 (16.070)
Epoch: [25][6200/7045]	Time 0.128 (0.244)	Data 0.075 (0.180)	Loss 5.0325 (5.0086)	Prec@1 5.859 (4.676)	Prec@5 16.797 (16.068)
Epoch: [25][6210/7045]	Time 0.157 (0.244)	Data 0.107 (0.180)	Loss 4.9297 (5.0087)	Prec@1 3.906 (4.676)	Prec@5 19.922 (16.068)
Epoch: [25][6220/7045]	Time 0.184 (0.244)	Data 0.132 (0.180)	Loss 4.9561 (5.0087)	Prec@1 3.516 (4.676)	Prec@5 15.234 (16.068)
Epoch: [25][6230/7045]	Time 0.108 (0.244)	Data 0.056 (0.180)	Loss 5.0157 (5.0086)	Prec@1 6.250 (4.677)	Prec@5 18.359 (16.069)
Epoch: [25][6240/7045]	Time 0.519 (0.244)	Data 0.463 (0.180)	Loss 5.0273 (5.0086)	Prec@1 4.688 (4.678)	Prec@5 16.016 (16.071)
Epoch: [25][6250/7045]	Time 0.121 (0.244)	Data 0.062 (0.180)	Loss 4.9636 (5.0086)	Prec@1 4.688 (4.677)	Prec@5 16.406 (16.073)
Epoch: [25][6260/7045]	Time 0.483 (0.244)	Data 0.424 (0.180)	Loss 5.1698 (5.0086)	Prec@1 3.906 (4.678)	Prec@5 12.500 (16.073)
Epoch: [25][6270/7045]	Time 0.168 (0.244)	Data 0.111 (0.180)	Loss 4.8507 (5.0086)	Prec@1 7.812 (4.678)	Prec@5 20.312 (16.074)
Epoch: [25][6280/7045]	Time 0.520 (0.244)	Data 0.470 (0.180)	Loss 4.9311 (5.0085)	Prec@1 6.250 (4.678)	Prec@5 19.922 (16.075)
Epoch: [25][6290/7045]	Time 0.116 (0.244)	Data 0.065 (0.180)	Loss 4.8296 (5.0084)	Prec@1 8.984 (4.679)	Prec@5 21.484 (16.076)
Epoch: [25][6300/7045]	Time 0.464 (0.244)	Data 0.413 (0.180)	Loss 5.0612 (5.0083)	Prec@1 5.469 (4.679)	Prec@5 13.281 (16.077)
Epoch: [25][6310/7045]	Time 0.100 (0.244)	Data 0.006 (0.180)	Loss 5.0037 (5.0082)	Prec@1 6.250 (4.679)	Prec@5 17.188 (16.078)
Epoch: [25][6320/7045]	Time 0.424 (0.244)	Data 0.373 (0.180)	Loss 4.9904 (5.0081)	Prec@1 3.516 (4.679)	Prec@5 16.016 (16.081)
Epoch: [25][6330/7045]	Time 0.101 (0.244)	Data 0.003 (0.180)	Loss 4.9574 (5.0080)	Prec@1 4.688 (4.680)	Prec@5 16.406 (16.083)
Epoch: [25][6340/7045]	Time 0.369 (0.244)	Data 0.318 (0.180)	Loss 4.9797 (5.0080)	Prec@1 4.297 (4.680)	Prec@5 16.016 (16.083)
Epoch: [25][6350/7045]	Time 0.100 (0.244)	Data 0.001 (0.180)	Loss 5.1106 (5.0079)	Prec@1 2.344 (4.680)	Prec@5 17.578 (16.086)
Epoch: [25][6360/7045]	Time 0.393 (0.244)	Data 0.342 (0.180)	Loss 4.8619 (5.0078)	Prec@1 6.641 (4.681)	Prec@5 17.969 (16.086)
Epoch: [25][6370/7045]	Time 0.102 (0.244)	Data 0.001 (0.180)	Loss 4.8257 (5.0077)	Prec@1 5.859 (4.681)	Prec@5 21.484 (16.088)
Epoch: [25][6380/7045]	Time 0.320 (0.244)	Data 0.268 (0.180)	Loss 4.9526 (5.0076)	Prec@1 6.250 (4.682)	Prec@5 16.406 (16.092)
Epoch: [25][6390/7045]	Time 0.102 (0.244)	Data 0.004 (0.180)	Loss 4.9547 (5.0075)	Prec@1 2.734 (4.683)	Prec@5 15.625 (16.094)
Epoch: [25][6400/7045]	Time 0.255 (0.244)	Data 0.204 (0.180)	Loss 4.9368 (5.0075)	Prec@1 5.469 (4.682)	Prec@5 18.359 (16.092)
Epoch: [25][6410/7045]	Time 0.100 (0.244)	Data 0.007 (0.180)	Loss 4.9761 (5.0075)	Prec@1 3.125 (4.682)	Prec@5 13.672 (16.090)
Epoch: [25][6420/7045]	Time 0.459 (0.244)	Data 0.401 (0.180)	Loss 4.8121 (5.0074)	Prec@1 5.078 (4.683)	Prec@5 20.703 (16.092)
Epoch: [25][6430/7045]	Time 0.277 (0.244)	Data 0.226 (0.180)	Loss 4.9548 (5.0074)	Prec@1 5.859 (4.684)	Prec@5 17.188 (16.092)
Epoch: [25][6440/7045]	Time 0.415 (0.244)	Data 0.365 (0.180)	Loss 4.9430 (5.0074)	Prec@1 4.688 (4.684)	Prec@5 19.922 (16.094)
Epoch: [25][6450/7045]	Time 0.103 (0.244)	Data 0.006 (0.180)	Loss 4.9245 (5.0073)	Prec@1 3.516 (4.684)	Prec@5 18.750 (16.095)
Epoch: [25][6460/7045]	Time 0.112 (0.244)	Data 0.062 (0.180)	Loss 5.0229 (5.0074)	Prec@1 2.344 (4.683)	Prec@5 16.797 (16.095)
Epoch: [25][6470/7045]	Time 0.100 (0.244)	Data 0.048 (0.180)	Loss 5.0377 (5.0074)	Prec@1 4.688 (4.683)	Prec@5 17.578 (16.095)
Epoch: [25][6480/7045]	Time 0.215 (0.244)	Data 0.165 (0.180)	Loss 5.0048 (5.0075)	Prec@1 5.859 (4.682)	Prec@5 15.234 (16.092)
Epoch: [25][6490/7045]	Time 0.124 (0.244)	Data 0.067 (0.180)	Loss 5.0328 (5.0074)	Prec@1 3.516 (4.682)	Prec@5 16.797 (16.094)
Epoch: [25][6500/7045]	Time 0.544 (0.244)	Data 0.494 (0.180)	Loss 4.9464 (5.0074)	Prec@1 3.516 (4.682)	Prec@5 16.406 (16.094)
Epoch: [25][6510/7045]	Time 0.101 (0.244)	Data 0.049 (0.180)	Loss 5.0274 (5.0074)	Prec@1 4.688 (4.682)	Prec@5 16.016 (16.094)
Epoch: [25][6520/7045]	Time 0.607 (0.244)	Data 0.556 (0.180)	Loss 5.0015 (5.0074)	Prec@1 3.516 (4.681)	Prec@5 16.016 (16.092)
Epoch: [25][6530/7045]	Time 0.101 (0.244)	Data 0.001 (0.180)	Loss 4.9793 (5.0073)	Prec@1 5.078 (4.682)	Prec@5 17.578 (16.093)
Epoch: [25][6540/7045]	Time 0.644 (0.244)	Data 0.591 (0.180)	Loss 5.1986 (5.0073)	Prec@1 4.297 (4.681)	Prec@5 10.938 (16.093)
Epoch: [25][6550/7045]	Time 0.108 (0.244)	Data 0.001 (0.180)	Loss 4.9461 (5.0073)	Prec@1 3.906 (4.681)	Prec@5 16.797 (16.093)
Epoch: [25][6560/7045]	Time 0.632 (0.244)	Data 0.580 (0.180)	Loss 4.9718 (5.0073)	Prec@1 4.297 (4.680)	Prec@5 17.188 (16.092)
Epoch: [25][6570/7045]	Time 0.102 (0.244)	Data 0.001 (0.180)	Loss 4.8952 (5.0073)	Prec@1 6.250 (4.681)	Prec@5 21.094 (16.093)
Epoch: [25][6580/7045]	Time 0.535 (0.244)	Data 0.482 (0.180)	Loss 4.9618 (5.0073)	Prec@1 6.641 (4.681)	Prec@5 19.141 (16.095)
Epoch: [25][6590/7045]	Time 0.101 (0.244)	Data 0.001 (0.180)	Loss 5.0435 (5.0074)	Prec@1 4.297 (4.680)	Prec@5 16.406 (16.094)
Epoch: [25][6600/7045]	Time 0.451 (0.244)	Data 0.401 (0.180)	Loss 4.9640 (5.0074)	Prec@1 4.688 (4.680)	Prec@5 18.359 (16.095)
Epoch: [25][6610/7045]	Time 0.247 (0.244)	Data 0.196 (0.180)	Loss 5.0816 (5.0074)	Prec@1 4.688 (4.681)	Prec@5 17.578 (16.097)
Epoch: [25][6620/7045]	Time 0.189 (0.244)	Data 0.137 (0.180)	Loss 5.1430 (5.0074)	Prec@1 3.906 (4.680)	Prec@5 14.844 (16.095)
Epoch: [25][6630/7045]	Time 0.273 (0.244)	Data 0.222 (0.180)	Loss 5.2042 (5.0075)	Prec@1 3.125 (4.680)	Prec@5 12.891 (16.094)
Epoch: [25][6640/7045]	Time 0.103 (0.244)	Data 0.003 (0.180)	Loss 5.1170 (5.0076)	Prec@1 3.906 (4.680)	Prec@5 13.672 (16.091)
Epoch: [25][6650/7045]	Time 0.101 (0.244)	Data 0.002 (0.180)	Loss 4.9309 (5.0076)	Prec@1 4.297 (4.680)	Prec@5 21.484 (16.091)
Epoch: [25][6660/7045]	Time 0.355 (0.244)	Data 0.304 (0.180)	Loss 5.1097 (5.0077)	Prec@1 5.078 (4.680)	Prec@5 15.234 (16.089)
Epoch: [25][6670/7045]	Time 0.233 (0.244)	Data 0.181 (0.180)	Loss 4.9795 (5.0076)	Prec@1 3.906 (4.680)	Prec@5 16.406 (16.089)
Epoch: [25][6680/7045]	Time 0.101 (0.244)	Data 0.003 (0.180)	Loss 5.0717 (5.0077)	Prec@1 4.297 (4.680)	Prec@5 16.406 (16.087)
Epoch: [25][6690/7045]	Time 0.101 (0.244)	Data 0.001 (0.180)	Loss 4.9119 (5.0076)	Prec@1 3.906 (4.680)	Prec@5 16.406 (16.089)
Epoch: [25][6700/7045]	Time 0.098 (0.244)	Data 0.047 (0.180)	Loss 5.0240 (5.0077)	Prec@1 4.297 (4.679)	Prec@5 14.453 (16.088)
Epoch: [25][6710/7045]	Time 0.105 (0.244)	Data 0.054 (0.180)	Loss 5.0539 (5.0077)	Prec@1 5.078 (4.679)	Prec@5 14.844 (16.087)
Epoch: [25][6720/7045]	Time 0.242 (0.244)	Data 0.191 (0.180)	Loss 5.0031 (5.0076)	Prec@1 5.469 (4.680)	Prec@5 17.578 (16.089)
Epoch: [25][6730/7045]	Time 0.668 (0.244)	Data 0.616 (0.180)	Loss 4.8692 (5.0076)	Prec@1 5.859 (4.680)	Prec@5 20.312 (16.089)
Epoch: [25][6740/7045]	Time 0.101 (0.244)	Data 0.001 (0.180)	Loss 4.9971 (5.0076)	Prec@1 5.859 (4.681)	Prec@5 14.844 (16.088)
Epoch: [25][6750/7045]	Time 0.118 (0.244)	Data 0.066 (0.180)	Loss 5.1008 (5.0076)	Prec@1 3.516 (4.681)	Prec@5 15.625 (16.089)
Epoch: [25][6760/7045]	Time 0.301 (0.244)	Data 0.249 (0.180)	Loss 5.1066 (5.0076)	Prec@1 3.516 (4.680)	Prec@5 13.281 (16.087)
Epoch: [25][6770/7045]	Time 0.178 (0.244)	Data 0.126 (0.180)	Loss 4.9391 (5.0076)	Prec@1 2.344 (4.679)	Prec@5 11.328 (16.087)
Epoch: [25][6780/7045]	Time 0.182 (0.244)	Data 0.130 (0.180)	Loss 4.9458 (5.0076)	Prec@1 7.031 (4.679)	Prec@5 17.188 (16.087)
Epoch: [25][6790/7045]	Time 0.300 (0.244)	Data 0.250 (0.180)	Loss 4.9250 (5.0076)	Prec@1 7.812 (4.680)	Prec@5 16.797 (16.087)
Epoch: [25][6800/7045]	Time 0.101 (0.244)	Data 0.012 (0.180)	Loss 5.3081 (5.0077)	Prec@1 3.125 (4.679)	Prec@5 12.109 (16.086)
Epoch: [25][6810/7045]	Time 0.182 (0.244)	Data 0.131 (0.180)	Loss 4.9662 (5.0077)	Prec@1 5.469 (4.679)	Prec@5 17.188 (16.086)
Epoch: [25][6820/7045]	Time 0.247 (0.244)	Data 0.195 (0.180)	Loss 4.8847 (5.0077)	Prec@1 6.250 (4.680)	Prec@5 17.578 (16.087)
Epoch: [25][6830/7045]	Time 0.102 (0.244)	Data 0.006 (0.180)	Loss 4.9895 (5.0077)	Prec@1 4.688 (4.680)	Prec@5 16.797 (16.086)
Epoch: [25][6840/7045]	Time 0.385 (0.244)	Data 0.333 (0.180)	Loss 5.0218 (5.0076)	Prec@1 3.516 (4.680)	Prec@5 15.234 (16.089)
Epoch: [25][6850/7045]	Time 0.156 (0.244)	Data 0.104 (0.180)	Loss 5.1545 (5.0078)	Prec@1 3.125 (4.679)	Prec@5 14.062 (16.087)
Epoch: [25][6860/7045]	Time 0.328 (0.244)	Data 0.276 (0.180)	Loss 4.8740 (5.0077)	Prec@1 5.469 (4.679)	Prec@5 18.359 (16.089)
Epoch: [25][6870/7045]	Time 0.109 (0.244)	Data 0.001 (0.180)	Loss 5.1769 (5.0077)	Prec@1 3.906 (4.679)	Prec@5 12.500 (16.088)
Epoch: [25][6880/7045]	Time 0.269 (0.244)	Data 0.218 (0.180)	Loss 5.1183 (5.0078)	Prec@1 3.906 (4.679)	Prec@5 13.672 (16.087)
Epoch: [25][6890/7045]	Time 0.180 (0.244)	Data 0.128 (0.180)	Loss 5.0222 (5.0078)	Prec@1 2.734 (4.677)	Prec@5 15.234 (16.086)
Epoch: [25][6900/7045]	Time 0.102 (0.244)	Data 0.001 (0.180)	Loss 5.1020 (5.0077)	Prec@1 4.297 (4.678)	Prec@5 13.281 (16.086)
Epoch: [25][6910/7045]	Time 0.196 (0.244)	Data 0.145 (0.180)	Loss 4.9609 (5.0077)	Prec@1 7.422 (4.678)	Prec@5 15.625 (16.087)
Epoch: [25][6920/7045]	Time 0.098 (0.244)	Data 0.046 (0.180)	Loss 5.1167 (5.0077)	Prec@1 2.734 (4.677)	Prec@5 15.234 (16.088)
Epoch: [25][6930/7045]	Time 0.102 (0.244)	Data 0.004 (0.180)	Loss 4.8204 (5.0076)	Prec@1 4.688 (4.676)	Prec@5 17.188 (16.088)
Epoch: [25][6940/7045]	Time 0.101 (0.244)	Data 0.001 (0.180)	Loss 4.9006 (5.0076)	Prec@1 5.859 (4.676)	Prec@5 19.141 (16.088)
Epoch: [25][6950/7045]	Time 0.102 (0.244)	Data 0.016 (0.180)	Loss 5.0948 (5.0075)	Prec@1 3.516 (4.676)	Prec@5 16.016 (16.089)
Epoch: [25][6960/7045]	Time 0.101 (0.244)	Data 0.001 (0.180)	Loss 5.0695 (5.0075)	Prec@1 3.125 (4.676)	Prec@5 15.625 (16.090)
Epoch: [25][6970/7045]	Time 0.102 (0.244)	Data 0.005 (0.180)	Loss 5.0618 (5.0075)	Prec@1 4.688 (4.677)	Prec@5 15.625 (16.090)
Epoch: [25][6980/7045]	Time 0.101 (0.244)	Data 0.001 (0.180)	Loss 4.8521 (5.0074)	Prec@1 7.422 (4.678)	Prec@5 18.359 (16.091)
Epoch: [25][6990/7045]	Time 0.150 (0.244)	Data 0.099 (0.180)	Loss 4.9505 (5.0073)	Prec@1 3.906 (4.677)	Prec@5 17.188 (16.091)
Epoch: [25][7000/7045]	Time 0.235 (0.244)	Data 0.185 (0.180)	Loss 5.0136 (5.0072)	Prec@1 6.250 (4.677)	Prec@5 17.188 (16.092)
Epoch: [25][7010/7045]	Time 0.217 (0.244)	Data 0.166 (0.180)	Loss 4.9392 (5.0072)	Prec@1 8.203 (4.678)	Prec@5 19.922 (16.093)
Epoch: [25][7020/7045]	Time 0.549 (0.244)	Data 0.497 (0.180)	Loss 4.9952 (5.0072)	Prec@1 5.859 (4.679)	Prec@5 17.578 (16.094)
Epoch: [25][7030/7045]	Time 0.100 (0.244)	Data 0.005 (0.180)	Loss 5.0561 (5.0071)	Prec@1 5.469 (4.679)	Prec@5 16.406 (16.096)
Epoch: [25][7040/7045]	Time 0.716 (0.244)	Data 0.664 (0.180)	Loss 5.0965 (5.0071)	Prec@1 5.469 (4.679)	Prec@5 14.062 (16.095)
Test: [0/143]	Time 1.253 (1.253)	Loss 4.8390 (4.8390)	Prec@1 7.812 (7.812)	Prec@5 23.828 (23.828)
Test: [10/143]	Time 0.128 (0.254)	Loss 4.4664 (4.8429)	Prec@1 16.406 (6.996)	Prec@5 34.766 (19.851)
Test: [20/143]	Time 0.134 (0.225)	Loss 5.1429 (4.8281)	Prec@1 2.734 (6.808)	Prec@5 14.453 (21.336)
Test: [30/143]	Time 0.048 (0.207)	Loss 4.9844 (4.8540)	Prec@1 3.125 (6.552)	Prec@5 17.578 (20.489)
Test: [40/143]	Time 0.238 (0.207)	Loss 5.3335 (4.8685)	Prec@1 0.000 (6.603)	Prec@5 1.562 (19.998)
Test: [50/143]	Time 0.243 (0.199)	Loss 4.6709 (4.8913)	Prec@1 5.859 (5.913)	Prec@5 28.516 (18.804)
Test: [60/143]	Time 0.249 (0.197)	Loss 5.2425 (4.8771)	Prec@1 1.953 (5.904)	Prec@5 12.500 (19.538)
Test: [70/143]	Time 0.218 (0.194)	Loss 5.0935 (4.8681)	Prec@1 1.562 (5.969)	Prec@5 10.156 (20.037)
Test: [80/143]	Time 0.048 (0.193)	Loss 4.6651 (4.8666)	Prec@1 9.766 (5.787)	Prec@5 28.516 (20.071)
Test: [90/143]	Time 0.048 (0.191)	Loss 5.0365 (4.8584)	Prec@1 3.125 (6.040)	Prec@5 14.062 (20.308)
Test: [100/143]	Time 0.347 (0.191)	Loss 4.8536 (4.8525)	Prec@1 1.953 (6.157)	Prec@5 21.875 (20.514)
Test: [110/143]	Time 0.115 (0.189)	Loss 4.4801 (4.8517)	Prec@1 14.453 (6.201)	Prec@5 33.594 (20.503)
Test: [120/143]	Time 0.123 (0.189)	Loss 4.7314 (4.8445)	Prec@1 2.734 (6.431)	Prec@5 24.219 (20.713)
Test: [130/143]	Time 0.195 (0.187)	Loss 4.4682 (4.8438)	Prec@1 14.844 (6.331)	Prec@5 26.562 (20.587)
Test: [140/143]	Time 0.058 (0.187)	Loss 5.4385 (4.8563)	Prec@1 0.000 (6.170)	Prec@5 1.953 (20.268)
 * Prec@1 6.211 Prec@5 20.334
Epoch: [26][0/7045]	Time 2.415 (2.415)	Data 2.358 (2.358)	Loss 5.1235 (5.1235)	Prec@1 5.469 (5.469)	Prec@5 19.141 (19.141)
Epoch: [26][10/7045]	Time 0.216 (0.415)	Data 0.167 (0.336)	Loss 5.1472 (5.0717)	Prec@1 2.734 (4.190)	Prec@5 14.062 (15.412)
Epoch: [26][20/7045]	Time 0.664 (0.346)	Data 0.613 (0.269)	Loss 4.8897 (5.0361)	Prec@1 4.688 (4.334)	Prec@5 17.969 (15.885)
Epoch: [26][30/7045]	Time 0.101 (0.304)	Data 0.050 (0.230)	Loss 5.1265 (5.0402)	Prec@1 2.734 (4.435)	Prec@5 14.844 (15.789)
Epoch: [26][40/7045]	Time 0.512 (0.296)	Data 0.460 (0.225)	Loss 5.0786 (5.0298)	Prec@1 3.516 (4.554)	Prec@5 16.016 (16.054)
Epoch: [26][50/7045]	Time 0.254 (0.284)	Data 0.203 (0.214)	Loss 4.8647 (5.0194)	Prec@1 5.859 (4.542)	Prec@5 16.016 (15.954)
Epoch: [26][60/7045]	Time 0.518 (0.280)	Data 0.460 (0.212)	Loss 4.9283 (5.0154)	Prec@1 7.422 (4.636)	Prec@5 16.797 (16.003)
Epoch: [26][70/7045]	Time 0.317 (0.274)	Data 0.267 (0.207)	Loss 5.0523 (5.0192)	Prec@1 2.734 (4.550)	Prec@5 15.234 (15.823)
Epoch: [26][80/7045]	Time 0.170 (0.270)	Data 0.119 (0.205)	Loss 4.9314 (5.0186)	Prec@1 7.031 (4.514)	Prec@5 18.359 (15.885)
Epoch: [26][90/7045]	Time 0.482 (0.269)	Data 0.430 (0.206)	Loss 4.8494 (5.0064)	Prec@1 6.641 (4.688)	Prec@5 18.359 (16.226)
Epoch: [26][100/7045]	Time 0.100 (0.265)	Data 0.045 (0.202)	Loss 5.0967 (5.0043)	Prec@1 5.078 (4.707)	Prec@5 17.188 (16.236)
Epoch: [26][110/7045]	Time 0.469 (0.265)	Data 0.418 (0.202)	Loss 5.0755 (5.0040)	Prec@1 2.344 (4.786)	Prec@5 14.453 (16.269)
Epoch: [26][120/7045]	Time 0.110 (0.263)	Data 0.001 (0.200)	Loss 5.1937 (5.0037)	Prec@1 2.734 (4.807)	Prec@5 13.672 (16.277)
Epoch: [26][130/7045]	Time 0.522 (0.263)	Data 0.470 (0.201)	Loss 5.0648 (5.0040)	Prec@1 5.078 (4.831)	Prec@5 18.750 (16.299)
Epoch: [26][140/7045]	Time 0.224 (0.261)	Data 0.173 (0.199)	Loss 4.9214 (5.0018)	Prec@1 5.469 (4.826)	Prec@5 16.016 (16.315)
Epoch: [26][150/7045]	Time 0.398 (0.260)	Data 0.338 (0.200)	Loss 4.9242 (5.0002)	Prec@1 4.688 (4.804)	Prec@5 19.141 (16.355)
Epoch: [26][160/7045]	Time 0.330 (0.259)	Data 0.279 (0.199)	Loss 4.9377 (4.9988)	Prec@1 5.469 (4.806)	Prec@5 19.531 (16.365)
Epoch: [26][170/7045]	Time 0.301 (0.258)	Data 0.251 (0.198)	Loss 5.0821 (5.0013)	Prec@1 3.125 (4.756)	Prec@5 15.234 (16.326)
Epoch: [26][180/7045]	Time 0.463 (0.258)	Data 0.411 (0.198)	Loss 4.9980 (5.0051)	Prec@1 5.859 (4.720)	Prec@5 15.625 (16.247)
Epoch: [26][190/7045]	Time 0.285 (0.257)	Data 0.233 (0.197)	Loss 5.1003 (5.0052)	Prec@1 3.516 (4.702)	Prec@5 12.891 (16.230)
Epoch: [26][200/7045]	Time 0.102 (0.258)	Data 0.007 (0.198)	Loss 4.8885 (5.0068)	Prec@1 6.250 (4.717)	Prec@5 17.969 (16.198)
Epoch: [26][210/7045]	Time 0.110 (0.256)	Data 0.057 (0.196)	Loss 5.0734 (5.0073)	Prec@1 7.031 (4.728)	Prec@5 16.406 (16.175)
Epoch: [26][220/7045]	Time 0.184 (0.257)	Data 0.133 (0.196)	Loss 4.9350 (5.0081)	Prec@1 6.641 (4.742)	Prec@5 17.188 (16.125)
Epoch: [26][230/7045]	Time 0.375 (0.257)	Data 0.319 (0.197)	Loss 5.1176 (5.0102)	Prec@1 4.297 (4.728)	Prec@5 14.453 (16.098)
Epoch: [26][240/7045]	Time 0.100 (0.256)	Data 0.049 (0.196)	Loss 4.8130 (5.0111)	Prec@1 3.516 (4.723)	Prec@5 18.359 (16.097)
Epoch: [26][250/7045]	Time 0.487 (0.256)	Data 0.436 (0.196)	Loss 5.0827 (5.0134)	Prec@1 4.297 (4.692)	Prec@5 16.016 (16.045)
Epoch: [26][260/7045]	Time 0.235 (0.256)	Data 0.184 (0.195)	Loss 5.2007 (5.0166)	Prec@1 2.734 (4.673)	Prec@5 11.328 (15.960)
Epoch: [26][270/7045]	Time 0.370 (0.255)	Data 0.319 (0.195)	Loss 4.9156 (5.0169)	Prec@1 5.469 (4.666)	Prec@5 17.578 (16.001)
Epoch: [26][280/7045]	Time 0.383 (0.255)	Data 0.331 (0.195)	Loss 5.0726 (5.0170)	Prec@1 3.516 (4.668)	Prec@5 16.406 (15.992)
Epoch: [26][290/7045]	Time 0.255 (0.255)	Data 0.204 (0.195)	Loss 5.0103 (5.0153)	Prec@1 4.297 (4.675)	Prec@5 17.578 (16.069)
Epoch: [26][300/7045]	Time 0.373 (0.255)	Data 0.321 (0.195)	Loss 4.9835 (5.0139)	Prec@1 3.516 (4.667)	Prec@5 17.188 (16.103)
Epoch: [26][310/7045]	Time 0.168 (0.254)	Data 0.115 (0.194)	Loss 4.9789 (5.0131)	Prec@1 1.953 (4.656)	Prec@5 14.453 (16.097)
Epoch: [26][320/7045]	Time 0.530 (0.254)	Data 0.479 (0.194)	Loss 4.8730 (5.0103)	Prec@1 5.469 (4.691)	Prec@5 17.969 (16.132)
Epoch: [26][330/7045]	Time 0.101 (0.254)	Data 0.001 (0.193)	Loss 5.1162 (5.0098)	Prec@1 5.469 (4.689)	Prec@5 17.188 (16.183)
Epoch: [26][340/7045]	Time 0.607 (0.254)	Data 0.550 (0.194)	Loss 5.0669 (5.0100)	Prec@1 4.688 (4.675)	Prec@5 13.672 (16.146)
Epoch: [26][350/7045]	Time 0.166 (0.253)	Data 0.114 (0.193)	Loss 5.0462 (5.0105)	Prec@1 5.469 (4.670)	Prec@5 16.406 (16.155)
Epoch: [26][360/7045]	Time 0.101 (0.253)	Data 0.049 (0.193)	Loss 5.0198 (5.0106)	Prec@1 3.125 (4.673)	Prec@5 15.234 (16.139)
Epoch: [26][370/7045]	Time 0.109 (0.253)	Data 0.057 (0.192)	Loss 4.9653 (5.0107)	Prec@1 3.906 (4.669)	Prec@5 18.359 (16.128)
Epoch: [26][380/7045]	Time 0.100 (0.253)	Data 0.007 (0.192)	Loss 5.1643 (5.0117)	Prec@1 6.250 (4.668)	Prec@5 13.672 (16.102)
Epoch: [26][390/7045]	Time 0.570 (0.254)	Data 0.518 (0.192)	Loss 5.0360 (5.0124)	Prec@1 3.906 (4.659)	Prec@5 15.625 (16.111)
Epoch: [26][400/7045]	Time 0.101 (0.253)	Data 0.001 (0.192)	Loss 4.8917 (5.0112)	Prec@1 3.906 (4.671)	Prec@5 17.188 (16.127)
Epoch: [26][410/7045]	Time 0.538 (0.253)	Data 0.485 (0.192)	Loss 4.9896 (5.0118)	Prec@1 3.516 (4.678)	Prec@5 17.969 (16.131)
Epoch: [26][420/7045]	Time 0.318 (0.253)	Data 0.262 (0.192)	Loss 5.0235 (5.0112)	Prec@1 4.688 (4.673)	Prec@5 16.406 (16.141)
Epoch: [26][430/7045]	Time 0.303 (0.253)	Data 0.252 (0.192)	Loss 4.8838 (5.0105)	Prec@1 6.250 (4.681)	Prec@5 19.141 (16.131)
Epoch: [26][440/7045]	Time 0.314 (0.253)	Data 0.262 (0.192)	Loss 5.0837 (5.0114)	Prec@1 3.125 (4.678)	Prec@5 10.938 (16.102)
Epoch: [26][450/7045]	Time 0.246 (0.253)	Data 0.194 (0.192)	Loss 5.0303 (5.0130)	Prec@1 3.906 (4.679)	Prec@5 14.453 (16.072)
Epoch: [26][460/7045]	Time 0.316 (0.252)	Data 0.264 (0.192)	Loss 5.2288 (5.0139)	Prec@1 3.516 (4.664)	Prec@5 13.672 (16.033)
Epoch: [26][470/7045]	Time 0.108 (0.252)	Data 0.045 (0.192)	Loss 4.8516 (5.0136)	Prec@1 3.906 (4.656)	Prec@5 14.453 (16.032)
Epoch: [26][480/7045]	Time 0.142 (0.252)	Data 0.091 (0.191)	Loss 4.8660 (5.0124)	Prec@1 5.078 (4.657)	Prec@5 19.531 (16.040)
Epoch: [26][490/7045]	Time 0.153 (0.252)	Data 0.094 (0.191)	Loss 5.1399 (5.0123)	Prec@1 3.516 (4.666)	Prec@5 12.500 (16.032)
Epoch: [26][500/7045]	Time 0.106 (0.252)	Data 0.054 (0.191)	Loss 5.0855 (5.0120)	Prec@1 3.516 (4.674)	Prec@5 14.453 (16.040)
Epoch: [26][510/7045]	Time 0.099 (0.252)	Data 0.001 (0.191)	Loss 4.9030 (5.0104)	Prec@1 5.078 (4.684)	Prec@5 18.359 (16.058)
Epoch: [26][520/7045]	Time 0.262 (0.252)	Data 0.211 (0.191)	Loss 4.9952 (5.0101)	Prec@1 3.906 (4.677)	Prec@5 20.312 (16.071)
Epoch: [26][530/7045]	Time 0.101 (0.252)	Data 0.005 (0.190)	Loss 4.9918 (5.0097)	Prec@1 6.641 (4.677)	Prec@5 19.531 (16.074)
Epoch: [26][540/7045]	Time 0.284 (0.252)	Data 0.232 (0.190)	Loss 4.9163 (5.0096)	Prec@1 5.859 (4.675)	Prec@5 19.141 (16.078)
Epoch: [26][550/7045]	Time 0.102 (0.251)	Data 0.001 (0.190)	Loss 4.9429 (5.0092)	Prec@1 4.688 (4.671)	Prec@5 14.453 (16.077)
Epoch: [26][560/7045]	Time 0.114 (0.252)	Data 0.062 (0.190)	Loss 5.0792 (5.0096)	Prec@1 5.078 (4.665)	Prec@5 13.281 (16.063)
Epoch: [26][570/7045]	Time 0.100 (0.251)	Data 0.001 (0.190)	Loss 5.1556 (5.0106)	Prec@1 3.906 (4.658)	Prec@5 13.281 (16.049)
Epoch: [26][580/7045]	Time 0.140 (0.252)	Data 0.088 (0.190)	Loss 4.8740 (5.0104)	Prec@1 5.859 (4.657)	Prec@5 19.922 (16.040)
Epoch: [26][590/7045]	Time 0.262 (0.252)	Data 0.211 (0.190)	Loss 5.1752 (5.0097)	Prec@1 5.859 (4.670)	Prec@5 14.453 (16.041)
Epoch: [26][600/7045]	Time 0.106 (0.251)	Data 0.053 (0.190)	Loss 5.0060 (5.0101)	Prec@1 4.297 (4.662)	Prec@5 16.406 (16.034)
Epoch: [26][610/7045]	Time 0.329 (0.252)	Data 0.277 (0.190)	Loss 4.9906 (5.0109)	Prec@1 3.906 (4.670)	Prec@5 17.188 (16.018)
Epoch: [26][620/7045]	Time 0.162 (0.251)	Data 0.110 (0.190)	Loss 4.9268 (5.0103)	Prec@1 6.250 (4.676)	Prec@5 15.625 (16.016)
Epoch: [26][630/7045]	Time 0.113 (0.251)	Data 0.062 (0.190)	Loss 5.0938 (5.0103)	Prec@1 1.953 (4.664)	Prec@5 14.062 (16.017)
Epoch: [26][640/7045]	Time 0.393 (0.252)	Data 0.341 (0.190)	Loss 5.0869 (5.0117)	Prec@1 4.688 (4.655)	Prec@5 13.281 (15.986)
Epoch: [26][650/7045]	Time 0.100 (0.251)	Data 0.048 (0.190)	Loss 4.9817 (5.0115)	Prec@1 5.469 (4.659)	Prec@5 17.188 (15.984)
Epoch: [26][660/7045]	Time 0.535 (0.252)	Data 0.485 (0.190)	Loss 5.0922 (5.0119)	Prec@1 2.344 (4.654)	Prec@5 12.109 (15.964)
Epoch: [26][670/7045]	Time 0.171 (0.251)	Data 0.120 (0.190)	Loss 4.7936 (5.0117)	Prec@1 7.031 (4.656)	Prec@5 19.922 (15.982)
Epoch: [26][680/7045]	Time 0.575 (0.252)	Data 0.524 (0.190)	Loss 5.1668 (5.0129)	Prec@1 3.906 (4.651)	Prec@5 15.625 (15.976)
Epoch: [26][690/7045]	Time 0.101 (0.251)	Data 0.001 (0.189)	Loss 4.9306 (5.0120)	Prec@1 5.469 (4.656)	Prec@5 16.406 (16.007)
Epoch: [26][700/7045]	Time 0.242 (0.251)	Data 0.186 (0.190)	Loss 4.9693 (5.0121)	Prec@1 5.469 (4.660)	Prec@5 17.188 (16.007)
Epoch: [26][710/7045]	Time 0.621 (0.252)	Data 0.570 (0.190)	Loss 4.8917 (5.0118)	Prec@1 7.031 (4.668)	Prec@5 18.750 (16.019)
Epoch: [26][720/7045]	Time 0.103 (0.251)	Data 0.050 (0.190)	Loss 4.9095 (5.0122)	Prec@1 7.422 (4.660)	Prec@5 17.578 (16.004)
Epoch: [26][730/7045]	Time 0.611 (0.251)	Data 0.559 (0.190)	Loss 5.1403 (5.0121)	Prec@1 3.906 (4.667)	Prec@5 11.328 (15.986)
Epoch: [26][740/7045]	Time 0.105 (0.251)	Data 0.053 (0.189)	Loss 5.0878 (5.0132)	Prec@1 5.469 (4.657)	Prec@5 15.625 (15.966)
Epoch: [26][750/7045]	Time 0.597 (0.251)	Data 0.537 (0.190)	Loss 5.0056 (5.0138)	Prec@1 3.906 (4.653)	Prec@5 13.672 (15.949)
Epoch: [26][760/7045]	Time 0.101 (0.251)	Data 0.001 (0.189)	Loss 5.1065 (5.0137)	Prec@1 5.469 (4.659)	Prec@5 14.062 (15.955)
Epoch: [26][770/7045]	Time 0.155 (0.251)	Data 0.097 (0.189)	Loss 5.1403 (5.0133)	Prec@1 3.125 (4.662)	Prec@5 11.328 (15.963)
Epoch: [26][780/7045]	Time 0.102 (0.251)	Data 0.001 (0.189)	Loss 4.9651 (5.0129)	Prec@1 5.078 (4.671)	Prec@5 13.672 (15.959)
Epoch: [26][790/7045]	Time 0.102 (0.251)	Data 0.007 (0.189)	Loss 4.9467 (5.0129)	Prec@1 6.641 (4.669)	Prec@5 18.359 (15.963)
Epoch: [26][800/7045]	Time 0.500 (0.251)	Data 0.441 (0.189)	Loss 5.0365 (5.0126)	Prec@1 4.297 (4.674)	Prec@5 20.703 (15.975)
Epoch: [26][810/7045]	Time 0.102 (0.251)	Data 0.001 (0.189)	Loss 4.9271 (5.0114)	Prec@1 2.734 (4.677)	Prec@5 14.453 (15.991)
Epoch: [26][820/7045]	Time 0.284 (0.251)	Data 0.233 (0.189)	Loss 5.0727 (5.0116)	Prec@1 4.688 (4.678)	Prec@5 12.500 (15.986)
Epoch: [26][830/7045]	Time 0.623 (0.251)	Data 0.572 (0.189)	Loss 4.8976 (5.0118)	Prec@1 3.906 (4.674)	Prec@5 16.406 (15.983)
Epoch: [26][840/7045]	Time 0.104 (0.251)	Data 0.050 (0.188)	Loss 5.0638 (5.0119)	Prec@1 5.859 (4.678)	Prec@5 17.578 (15.985)
Epoch: [26][850/7045]	Time 0.696 (0.252)	Data 0.644 (0.189)	Loss 4.9260 (5.0117)	Prec@1 5.469 (4.679)	Prec@5 18.750 (15.984)
Epoch: [26][860/7045]	Time 0.243 (0.251)	Data 0.193 (0.189)	Loss 4.9335 (5.0115)	Prec@1 6.250 (4.681)	Prec@5 18.750 (15.991)
Epoch: [26][870/7045]	Time 0.101 (0.251)	Data 0.005 (0.189)	Loss 4.9263 (5.0112)	Prec@1 2.734 (4.684)	Prec@5 14.844 (15.991)
Epoch: [26][880/7045]	Time 0.461 (0.251)	Data 0.410 (0.189)	Loss 4.8530 (5.0107)	Prec@1 3.906 (4.689)	Prec@5 18.750 (16.002)
Epoch: [26][890/7045]	Time 0.262 (0.251)	Data 0.211 (0.189)	Loss 4.9057 (5.0101)	Prec@1 3.906 (4.693)	Prec@5 20.312 (16.015)
Epoch: [26][900/7045]	Time 0.102 (0.251)	Data 0.007 (0.189)	Loss 5.1300 (5.0106)	Prec@1 5.469 (4.696)	Prec@5 14.844 (16.010)
Epoch: [26][910/7045]	Time 0.103 (0.251)	Data 0.049 (0.189)	Loss 5.1888 (5.0108)	Prec@1 2.344 (4.692)	Prec@5 10.938 (16.000)
Epoch: [26][920/7045]	Time 0.247 (0.251)	Data 0.197 (0.189)	Loss 5.1155 (5.0108)	Prec@1 5.469 (4.683)	Prec@5 12.891 (15.991)
Epoch: [26][930/7045]	Time 0.452 (0.251)	Data 0.400 (0.189)	Loss 5.0510 (5.0109)	Prec@1 3.125 (4.677)	Prec@5 13.672 (15.983)
Epoch: [26][940/7045]	Time 0.105 (0.251)	Data 0.053 (0.189)	Loss 5.1267 (5.0106)	Prec@1 3.516 (4.677)	Prec@5 12.500 (15.983)
Epoch: [26][950/7045]	Time 0.778 (0.252)	Data 0.727 (0.189)	Loss 5.0227 (5.0112)	Prec@1 3.516 (4.672)	Prec@5 12.891 (15.977)
Epoch: [26][960/7045]	Time 0.209 (0.251)	Data 0.152 (0.189)	Loss 5.0489 (5.0111)	Prec@1 3.906 (4.685)	Prec@5 13.281 (15.979)
Epoch: [26][970/7045]	Time 0.129 (0.251)	Data 0.077 (0.189)	Loss 5.0933 (5.0113)	Prec@1 5.078 (4.683)	Prec@5 17.188 (15.980)
Epoch: [26][980/7045]	Time 0.101 (0.251)	Data 0.002 (0.189)	Loss 4.8912 (5.0117)	Prec@1 3.906 (4.681)	Prec@5 17.969 (15.971)
Epoch: [26][990/7045]	Time 0.548 (0.252)	Data 0.498 (0.189)	Loss 4.9997 (5.0117)	Prec@1 7.031 (4.684)	Prec@5 15.625 (15.968)
Epoch: [26][1000/7045]	Time 0.106 (0.252)	Data 0.001 (0.189)	Loss 4.9777 (5.0116)	Prec@1 5.469 (4.680)	Prec@5 12.891 (15.963)
Epoch: [26][1010/7045]	Time 0.384 (0.252)	Data 0.332 (0.189)	Loss 4.9287 (5.0112)	Prec@1 5.078 (4.679)	Prec@5 17.578 (15.970)
Epoch: [26][1020/7045]	Time 0.101 (0.251)	Data 0.003 (0.189)	Loss 5.0680 (5.0109)	Prec@1 5.469 (4.684)	Prec@5 15.625 (15.973)
Epoch: [26][1030/7045]	Time 0.386 (0.251)	Data 0.334 (0.189)	Loss 5.1781 (5.0105)	Prec@1 4.297 (4.687)	Prec@5 14.062 (15.989)
Epoch: [26][1040/7045]	Time 0.274 (0.251)	Data 0.222 (0.189)	Loss 4.9130 (5.0101)	Prec@1 6.641 (4.692)	Prec@5 18.359 (15.992)
Epoch: [26][1050/7045]	Time 0.107 (0.251)	Data 0.011 (0.189)	Loss 5.0571 (5.0101)	Prec@1 5.078 (4.693)	Prec@5 14.062 (15.990)
Epoch: [26][1060/7045]	Time 0.346 (0.251)	Data 0.295 (0.189)	Loss 4.9454 (5.0099)	Prec@1 4.297 (4.688)	Prec@5 16.406 (15.984)
Epoch: [26][1070/7045]	Time 0.108 (0.251)	Data 0.054 (0.189)	Loss 5.0126 (5.0100)	Prec@1 3.516 (4.685)	Prec@5 13.281 (15.988)
Epoch: [26][1080/7045]	Time 0.256 (0.251)	Data 0.205 (0.189)	Loss 5.1698 (5.0103)	Prec@1 3.906 (4.685)	Prec@5 14.453 (15.989)
Epoch: [26][1090/7045]	Time 0.117 (0.251)	Data 0.065 (0.189)	Loss 5.0717 (5.0110)	Prec@1 6.250 (4.675)	Prec@5 16.016 (15.978)
Epoch: [26][1100/7045]	Time 0.107 (0.252)	Data 0.008 (0.189)	Loss 5.1740 (5.0114)	Prec@1 3.125 (4.675)	Prec@5 15.234 (15.976)
Epoch: [26][1110/7045]	Time 0.101 (0.251)	Data 0.002 (0.189)	Loss 4.9353 (5.0115)	Prec@1 5.078 (4.669)	Prec@5 15.625 (15.963)
Epoch: [26][1120/7045]	Time 0.167 (0.252)	Data 0.115 (0.189)	Loss 4.9688 (5.0112)	Prec@1 6.641 (4.669)	Prec@5 17.578 (15.973)
Epoch: [26][1130/7045]	Time 0.139 (0.251)	Data 0.087 (0.189)	Loss 5.0134 (5.0111)	Prec@1 3.125 (4.668)	Prec@5 16.406 (15.977)
Epoch: [26][1140/7045]	Time 0.300 (0.252)	Data 0.250 (0.189)	Loss 4.9497 (5.0110)	Prec@1 4.297 (4.667)	Prec@5 17.188 (15.981)
Epoch: [26][1150/7045]	Time 0.106 (0.252)	Data 0.054 (0.189)	Loss 5.1289 (5.0110)	Prec@1 4.688 (4.674)	Prec@5 14.844 (15.994)
Epoch: [26][1160/7045]	Time 0.101 (0.252)	Data 0.001 (0.189)	Loss 4.9999 (5.0108)	Prec@1 2.344 (4.674)	Prec@5 12.891 (15.999)
Epoch: [26][1170/7045]	Time 0.442 (0.252)	Data 0.391 (0.189)	Loss 4.9780 (5.0103)	Prec@1 4.297 (4.675)	Prec@5 17.578 (16.010)
Epoch: [26][1180/7045]	Time 0.256 (0.252)	Data 0.199 (0.189)	Loss 5.0849 (5.0102)	Prec@1 2.344 (4.676)	Prec@5 13.281 (16.013)
Epoch: [26][1190/7045]	Time 0.463 (0.252)	Data 0.411 (0.190)	Loss 5.0480 (5.0102)	Prec@1 4.688 (4.671)	Prec@5 15.234 (16.014)
Epoch: [26][1200/7045]	Time 0.320 (0.252)	Data 0.269 (0.189)	Loss 5.0170 (5.0101)	Prec@1 7.812 (4.677)	Prec@5 14.844 (16.018)
Epoch: [26][1210/7045]	Time 0.164 (0.252)	Data 0.113 (0.190)	Loss 4.9396 (5.0102)	Prec@1 8.203 (4.684)	Prec@5 20.703 (16.025)
Epoch: [26][1220/7045]	Time 0.108 (0.251)	Data 0.057 (0.189)	Loss 4.9808 (5.0100)	Prec@1 2.734 (4.681)	Prec@5 13.672 (16.027)
Epoch: [26][1230/7045]	Time 0.100 (0.252)	Data 0.001 (0.189)	Loss 4.9650 (5.0098)	Prec@1 4.297 (4.683)	Prec@5 14.453 (16.028)
Epoch: [26][1240/7045]	Time 0.135 (0.251)	Data 0.084 (0.189)	Loss 4.8944 (5.0093)	Prec@1 4.688 (4.684)	Prec@5 17.969 (16.036)
Epoch: [26][1250/7045]	Time 0.097 (0.251)	Data 0.001 (0.189)	Loss 5.0047 (5.0088)	Prec@1 4.297 (4.686)	Prec@5 16.797 (16.041)
Epoch: [26][1260/7045]	Time 0.140 (0.251)	Data 0.088 (0.188)	Loss 5.0717 (5.0082)	Prec@1 3.516 (4.688)	Prec@5 14.062 (16.047)
Epoch: [26][1270/7045]	Time 0.101 (0.251)	Data 0.007 (0.188)	Loss 5.0583 (5.0084)	Prec@1 3.516 (4.686)	Prec@5 14.453 (16.046)
Epoch: [26][1280/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 4.9955 (5.0080)	Prec@1 5.469 (4.690)	Prec@5 17.969 (16.057)
Epoch: [26][1290/7045]	Time 0.106 (0.251)	Data 0.054 (0.188)	Loss 5.0029 (5.0078)	Prec@1 2.344 (4.694)	Prec@5 13.281 (16.061)
Epoch: [26][1300/7045]	Time 0.326 (0.251)	Data 0.273 (0.188)	Loss 5.1433 (5.0081)	Prec@1 1.953 (4.689)	Prec@5 12.109 (16.059)
Epoch: [26][1310/7045]	Time 0.217 (0.251)	Data 0.165 (0.188)	Loss 5.0097 (5.0083)	Prec@1 6.250 (4.691)	Prec@5 17.578 (16.056)
Epoch: [26][1320/7045]	Time 0.467 (0.251)	Data 0.408 (0.189)	Loss 5.0147 (5.0079)	Prec@1 5.078 (4.692)	Prec@5 14.844 (16.059)
Epoch: [26][1330/7045]	Time 0.155 (0.251)	Data 0.104 (0.188)	Loss 4.9633 (5.0079)	Prec@1 5.859 (4.695)	Prec@5 16.797 (16.059)
Epoch: [26][1340/7045]	Time 0.486 (0.251)	Data 0.434 (0.188)	Loss 4.9704 (5.0078)	Prec@1 3.125 (4.695)	Prec@5 15.234 (16.055)
Epoch: [26][1350/7045]	Time 0.168 (0.251)	Data 0.117 (0.188)	Loss 5.0517 (5.0076)	Prec@1 3.516 (4.697)	Prec@5 14.844 (16.062)
Epoch: [26][1360/7045]	Time 0.100 (0.251)	Data 0.001 (0.188)	Loss 4.8177 (5.0077)	Prec@1 5.469 (4.695)	Prec@5 18.359 (16.061)
Epoch: [26][1370/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 4.9704 (5.0077)	Prec@1 5.469 (4.696)	Prec@5 17.969 (16.057)
Epoch: [26][1380/7045]	Time 0.441 (0.251)	Data 0.391 (0.189)	Loss 4.8648 (5.0075)	Prec@1 6.641 (4.696)	Prec@5 19.531 (16.067)
Epoch: [26][1390/7045]	Time 0.444 (0.251)	Data 0.392 (0.189)	Loss 5.1969 (5.0075)	Prec@1 3.125 (4.693)	Prec@5 11.328 (16.061)
Epoch: [26][1400/7045]	Time 0.288 (0.251)	Data 0.229 (0.188)	Loss 5.0148 (5.0076)	Prec@1 4.297 (4.691)	Prec@5 14.062 (16.057)
Epoch: [26][1410/7045]	Time 0.449 (0.251)	Data 0.391 (0.188)	Loss 4.9581 (5.0072)	Prec@1 5.859 (4.697)	Prec@5 18.359 (16.064)
Epoch: [26][1420/7045]	Time 0.367 (0.251)	Data 0.316 (0.188)	Loss 5.0893 (5.0079)	Prec@1 4.297 (4.694)	Prec@5 14.453 (16.053)
Epoch: [26][1430/7045]	Time 0.303 (0.251)	Data 0.252 (0.188)	Loss 5.0521 (5.0076)	Prec@1 4.688 (4.699)	Prec@5 14.062 (16.061)
Epoch: [26][1440/7045]	Time 0.435 (0.251)	Data 0.377 (0.188)	Loss 4.9990 (5.0074)	Prec@1 5.859 (4.698)	Prec@5 14.844 (16.063)
Epoch: [26][1450/7045]	Time 0.241 (0.251)	Data 0.190 (0.188)	Loss 4.9944 (5.0073)	Prec@1 3.906 (4.698)	Prec@5 15.625 (16.069)
Epoch: [26][1460/7045]	Time 0.474 (0.251)	Data 0.423 (0.188)	Loss 4.9593 (5.0070)	Prec@1 5.469 (4.702)	Prec@5 17.578 (16.078)
Epoch: [26][1470/7045]	Time 0.109 (0.251)	Data 0.014 (0.188)	Loss 4.7694 (5.0066)	Prec@1 7.031 (4.705)	Prec@5 21.094 (16.081)
Epoch: [26][1480/7045]	Time 0.454 (0.251)	Data 0.402 (0.188)	Loss 5.0117 (5.0059)	Prec@1 4.297 (4.713)	Prec@5 13.281 (16.089)
Epoch: [26][1490/7045]	Time 0.101 (0.250)	Data 0.004 (0.188)	Loss 4.8725 (5.0059)	Prec@1 3.516 (4.713)	Prec@5 16.797 (16.087)
Epoch: [26][1500/7045]	Time 0.479 (0.250)	Data 0.427 (0.188)	Loss 5.0581 (5.0059)	Prec@1 4.297 (4.717)	Prec@5 15.625 (16.094)
Epoch: [26][1510/7045]	Time 0.154 (0.250)	Data 0.094 (0.188)	Loss 4.8976 (5.0058)	Prec@1 6.250 (4.715)	Prec@5 17.188 (16.092)
Epoch: [26][1520/7045]	Time 0.410 (0.250)	Data 0.360 (0.188)	Loss 5.0620 (5.0065)	Prec@1 4.297 (4.713)	Prec@5 14.062 (16.083)
Epoch: [26][1530/7045]	Time 0.101 (0.250)	Data 0.006 (0.188)	Loss 5.1798 (5.0070)	Prec@1 3.906 (4.710)	Prec@5 12.109 (16.081)
Epoch: [26][1540/7045]	Time 0.474 (0.250)	Data 0.423 (0.188)	Loss 4.9970 (5.0073)	Prec@1 3.516 (4.704)	Prec@5 17.188 (16.078)
Epoch: [26][1550/7045]	Time 0.101 (0.250)	Data 0.011 (0.188)	Loss 5.0564 (5.0075)	Prec@1 3.906 (4.705)	Prec@5 16.016 (16.074)
Epoch: [26][1560/7045]	Time 0.651 (0.250)	Data 0.588 (0.188)	Loss 4.9706 (5.0078)	Prec@1 3.516 (4.700)	Prec@5 16.406 (16.060)
Epoch: [26][1570/7045]	Time 0.104 (0.250)	Data 0.051 (0.187)	Loss 5.1406 (5.0085)	Prec@1 3.516 (4.696)	Prec@5 13.672 (16.051)
Epoch: [26][1580/7045]	Time 0.634 (0.250)	Data 0.583 (0.188)	Loss 5.0319 (5.0085)	Prec@1 3.125 (4.694)	Prec@5 10.938 (16.047)
Epoch: [26][1590/7045]	Time 0.110 (0.250)	Data 0.058 (0.187)	Loss 5.0738 (5.0083)	Prec@1 3.906 (4.699)	Prec@5 16.797 (16.056)
Epoch: [26][1600/7045]	Time 0.470 (0.250)	Data 0.413 (0.187)	Loss 4.9476 (5.0086)	Prec@1 3.906 (4.695)	Prec@5 16.797 (16.054)
Epoch: [26][1610/7045]	Time 0.101 (0.250)	Data 0.001 (0.187)	Loss 5.0866 (5.0086)	Prec@1 3.906 (4.695)	Prec@5 14.844 (16.048)
Epoch: [26][1620/7045]	Time 0.470 (0.250)	Data 0.413 (0.187)	Loss 4.9522 (5.0088)	Prec@1 4.297 (4.692)	Prec@5 16.016 (16.043)
Epoch: [26][1630/7045]	Time 0.118 (0.250)	Data 0.066 (0.187)	Loss 4.9728 (5.0090)	Prec@1 5.078 (4.689)	Prec@5 16.016 (16.045)
Epoch: [26][1640/7045]	Time 0.245 (0.250)	Data 0.189 (0.187)	Loss 4.8887 (5.0088)	Prec@1 5.859 (4.694)	Prec@5 18.359 (16.053)
Epoch: [26][1650/7045]	Time 0.325 (0.250)	Data 0.273 (0.187)	Loss 4.9282 (5.0088)	Prec@1 7.031 (4.696)	Prec@5 21.094 (16.055)
Epoch: [26][1660/7045]	Time 0.207 (0.250)	Data 0.155 (0.188)	Loss 4.7839 (5.0084)	Prec@1 3.516 (4.693)	Prec@5 16.016 (16.060)
Epoch: [26][1670/7045]	Time 0.249 (0.250)	Data 0.195 (0.188)	Loss 5.0477 (5.0082)	Prec@1 4.297 (4.690)	Prec@5 18.359 (16.062)
Epoch: [26][1680/7045]	Time 0.215 (0.250)	Data 0.163 (0.188)	Loss 5.1776 (5.0082)	Prec@1 2.734 (4.692)	Prec@5 11.719 (16.065)
Epoch: [26][1690/7045]	Time 0.141 (0.250)	Data 0.088 (0.188)	Loss 5.1732 (5.0084)	Prec@1 2.734 (4.692)	Prec@5 14.453 (16.058)
Epoch: [26][1700/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 5.0715 (5.0085)	Prec@1 3.516 (4.690)	Prec@5 14.453 (16.053)
Epoch: [26][1710/7045]	Time 0.124 (0.250)	Data 0.073 (0.187)	Loss 5.0062 (5.0089)	Prec@1 3.906 (4.690)	Prec@5 14.453 (16.046)
Epoch: [26][1720/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 4.7260 (5.0089)	Prec@1 7.422 (4.692)	Prec@5 22.656 (16.051)
Epoch: [26][1730/7045]	Time 0.112 (0.250)	Data 0.060 (0.187)	Loss 4.9523 (5.0085)	Prec@1 2.734 (4.692)	Prec@5 15.625 (16.055)
Epoch: [26][1740/7045]	Time 0.101 (0.250)	Data 0.001 (0.187)	Loss 5.0203 (5.0084)	Prec@1 4.688 (4.695)	Prec@5 16.797 (16.055)
Epoch: [26][1750/7045]	Time 0.101 (0.250)	Data 0.048 (0.187)	Loss 5.1620 (5.0085)	Prec@1 3.125 (4.696)	Prec@5 11.719 (16.057)
Epoch: [26][1760/7045]	Time 0.101 (0.250)	Data 0.007 (0.187)	Loss 4.9372 (5.0084)	Prec@1 3.906 (4.696)	Prec@5 14.062 (16.051)
Epoch: [26][1770/7045]	Time 0.104 (0.250)	Data 0.052 (0.187)	Loss 5.1281 (5.0083)	Prec@1 3.516 (4.692)	Prec@5 11.719 (16.045)
Epoch: [26][1780/7045]	Time 0.115 (0.250)	Data 0.062 (0.187)	Loss 5.0662 (5.0085)	Prec@1 5.859 (4.693)	Prec@5 16.797 (16.045)
Epoch: [26][1790/7045]	Time 0.112 (0.250)	Data 0.053 (0.187)	Loss 4.9342 (5.0084)	Prec@1 6.250 (4.694)	Prec@5 20.703 (16.048)
Epoch: [26][1800/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 4.9726 (5.0085)	Prec@1 3.906 (4.692)	Prec@5 19.141 (16.049)
Epoch: [26][1810/7045]	Time 0.101 (0.250)	Data 0.008 (0.187)	Loss 5.0258 (5.0084)	Prec@1 2.734 (4.695)	Prec@5 17.578 (16.052)
Epoch: [26][1820/7045]	Time 0.101 (0.250)	Data 0.049 (0.187)	Loss 4.9417 (5.0081)	Prec@1 5.078 (4.698)	Prec@5 16.797 (16.059)
Epoch: [26][1830/7045]	Time 0.167 (0.250)	Data 0.116 (0.187)	Loss 5.1756 (5.0088)	Prec@1 2.734 (4.692)	Prec@5 12.109 (16.043)
Epoch: [26][1840/7045]	Time 0.102 (0.250)	Data 0.050 (0.187)	Loss 5.1369 (5.0091)	Prec@1 3.516 (4.694)	Prec@5 12.891 (16.042)
Epoch: [26][1850/7045]	Time 0.207 (0.250)	Data 0.157 (0.187)	Loss 4.9590 (5.0089)	Prec@1 4.688 (4.693)	Prec@5 17.969 (16.048)
Epoch: [26][1860/7045]	Time 0.302 (0.250)	Data 0.251 (0.187)	Loss 4.8884 (5.0088)	Prec@1 7.031 (4.695)	Prec@5 22.266 (16.053)
Epoch: [26][1870/7045]	Time 0.101 (0.249)	Data 0.005 (0.187)	Loss 4.9998 (5.0087)	Prec@1 4.297 (4.694)	Prec@5 17.578 (16.052)
Epoch: [26][1880/7045]	Time 0.153 (0.250)	Data 0.101 (0.187)	Loss 4.8320 (5.0084)	Prec@1 8.594 (4.700)	Prec@5 19.922 (16.055)
Epoch: [26][1890/7045]	Time 0.574 (0.250)	Data 0.516 (0.187)	Loss 4.8882 (5.0081)	Prec@1 5.078 (4.702)	Prec@5 17.969 (16.065)
Epoch: [26][1900/7045]	Time 0.107 (0.250)	Data 0.001 (0.187)	Loss 4.9366 (5.0077)	Prec@1 6.250 (4.706)	Prec@5 17.188 (16.078)
Epoch: [26][1910/7045]	Time 0.739 (0.250)	Data 0.687 (0.187)	Loss 4.9572 (5.0073)	Prec@1 3.516 (4.702)	Prec@5 14.062 (16.077)
Epoch: [26][1920/7045]	Time 0.160 (0.250)	Data 0.101 (0.187)	Loss 4.9781 (5.0073)	Prec@1 5.078 (4.701)	Prec@5 13.281 (16.077)
Epoch: [26][1930/7045]	Time 0.476 (0.250)	Data 0.424 (0.187)	Loss 5.1052 (5.0073)	Prec@1 7.031 (4.702)	Prec@5 16.406 (16.079)
Epoch: [26][1940/7045]	Time 0.303 (0.249)	Data 0.245 (0.187)	Loss 5.1084 (5.0074)	Prec@1 3.125 (4.698)	Prec@5 12.891 (16.074)
Epoch: [26][1950/7045]	Time 0.449 (0.249)	Data 0.398 (0.187)	Loss 4.9978 (5.0075)	Prec@1 5.078 (4.699)	Prec@5 15.234 (16.076)
Epoch: [26][1960/7045]	Time 0.361 (0.249)	Data 0.304 (0.187)	Loss 4.9857 (5.0073)	Prec@1 3.125 (4.697)	Prec@5 17.969 (16.078)
Epoch: [26][1970/7045]	Time 0.347 (0.249)	Data 0.296 (0.187)	Loss 4.9783 (5.0069)	Prec@1 5.859 (4.699)	Prec@5 18.359 (16.088)
Epoch: [26][1980/7045]	Time 0.343 (0.249)	Data 0.284 (0.187)	Loss 4.8805 (5.0065)	Prec@1 5.859 (4.704)	Prec@5 17.188 (16.095)
Epoch: [26][1990/7045]	Time 0.341 (0.249)	Data 0.290 (0.187)	Loss 5.0471 (5.0062)	Prec@1 5.469 (4.706)	Prec@5 14.453 (16.102)
Epoch: [26][2000/7045]	Time 0.336 (0.249)	Data 0.279 (0.187)	Loss 4.9396 (5.0060)	Prec@1 4.688 (4.705)	Prec@5 17.969 (16.103)
Epoch: [26][2010/7045]	Time 0.323 (0.249)	Data 0.272 (0.187)	Loss 5.0578 (5.0061)	Prec@1 3.516 (4.702)	Prec@5 17.578 (16.094)
Epoch: [26][2020/7045]	Time 0.244 (0.249)	Data 0.193 (0.187)	Loss 4.8767 (5.0062)	Prec@1 4.688 (4.702)	Prec@5 19.141 (16.095)
Epoch: [26][2030/7045]	Time 0.402 (0.249)	Data 0.351 (0.187)	Loss 5.0100 (5.0061)	Prec@1 5.078 (4.702)	Prec@5 16.406 (16.098)
Epoch: [26][2040/7045]	Time 0.199 (0.249)	Data 0.148 (0.187)	Loss 4.9593 (5.0058)	Prec@1 8.594 (4.707)	Prec@5 19.531 (16.104)
Epoch: [26][2050/7045]	Time 0.335 (0.249)	Data 0.285 (0.187)	Loss 4.9831 (5.0054)	Prec@1 3.516 (4.709)	Prec@5 16.797 (16.109)
Epoch: [26][2060/7045]	Time 0.452 (0.249)	Data 0.400 (0.187)	Loss 5.0806 (5.0053)	Prec@1 5.078 (4.710)	Prec@5 16.016 (16.111)
Epoch: [26][2070/7045]	Time 0.157 (0.249)	Data 0.105 (0.187)	Loss 4.8877 (5.0049)	Prec@1 6.641 (4.713)	Prec@5 21.875 (16.121)
Epoch: [26][2080/7045]	Time 0.272 (0.249)	Data 0.221 (0.187)	Loss 4.7695 (5.0047)	Prec@1 7.422 (4.714)	Prec@5 20.703 (16.127)
Epoch: [26][2090/7045]	Time 0.325 (0.249)	Data 0.274 (0.187)	Loss 4.9877 (5.0046)	Prec@1 5.859 (4.716)	Prec@5 16.406 (16.132)
Epoch: [26][2100/7045]	Time 0.112 (0.249)	Data 0.061 (0.187)	Loss 4.9458 (5.0044)	Prec@1 5.859 (4.714)	Prec@5 15.625 (16.131)
Epoch: [26][2110/7045]	Time 0.614 (0.249)	Data 0.564 (0.187)	Loss 4.9429 (5.0041)	Prec@1 5.469 (4.715)	Prec@5 18.359 (16.133)
Epoch: [26][2120/7045]	Time 0.288 (0.249)	Data 0.237 (0.187)	Loss 4.9703 (5.0038)	Prec@1 6.641 (4.717)	Prec@5 17.578 (16.138)
Epoch: [26][2130/7045]	Time 0.538 (0.249)	Data 0.486 (0.187)	Loss 5.0897 (5.0037)	Prec@1 3.906 (4.716)	Prec@5 12.891 (16.139)
Epoch: [26][2140/7045]	Time 0.098 (0.249)	Data 0.042 (0.187)	Loss 5.1763 (5.0040)	Prec@1 2.734 (4.714)	Prec@5 9.766 (16.135)
Epoch: [26][2150/7045]	Time 0.430 (0.249)	Data 0.379 (0.187)	Loss 5.1748 (5.0041)	Prec@1 2.734 (4.713)	Prec@5 12.891 (16.132)
Epoch: [26][2160/7045]	Time 0.165 (0.249)	Data 0.113 (0.187)	Loss 5.0435 (5.0040)	Prec@1 5.469 (4.717)	Prec@5 13.672 (16.135)
Epoch: [26][2170/7045]	Time 0.112 (0.249)	Data 0.061 (0.187)	Loss 4.9932 (5.0041)	Prec@1 3.906 (4.714)	Prec@5 13.672 (16.130)
Epoch: [26][2180/7045]	Time 0.102 (0.249)	Data 0.001 (0.187)	Loss 5.1457 (5.0044)	Prec@1 1.953 (4.713)	Prec@5 10.156 (16.128)
Epoch: [26][2190/7045]	Time 0.102 (0.249)	Data 0.001 (0.187)	Loss 4.9464 (5.0045)	Prec@1 3.906 (4.708)	Prec@5 18.359 (16.123)
Epoch: [26][2200/7045]	Time 0.161 (0.249)	Data 0.109 (0.187)	Loss 4.9561 (5.0042)	Prec@1 6.641 (4.713)	Prec@5 16.016 (16.131)
Epoch: [26][2210/7045]	Time 0.102 (0.249)	Data 0.001 (0.187)	Loss 5.0905 (5.0040)	Prec@1 3.125 (4.714)	Prec@5 14.844 (16.135)
Epoch: [26][2220/7045]	Time 0.100 (0.249)	Data 0.006 (0.187)	Loss 5.0937 (5.0043)	Prec@1 5.859 (4.712)	Prec@5 14.844 (16.129)
Epoch: [26][2230/7045]	Time 0.101 (0.249)	Data 0.044 (0.186)	Loss 4.8527 (5.0040)	Prec@1 6.641 (4.714)	Prec@5 19.141 (16.133)
Epoch: [26][2240/7045]	Time 0.243 (0.249)	Data 0.190 (0.187)	Loss 5.0366 (5.0041)	Prec@1 4.297 (4.715)	Prec@5 17.188 (16.136)
Epoch: [26][2250/7045]	Time 0.102 (0.249)	Data 0.009 (0.186)	Loss 4.7545 (5.0037)	Prec@1 9.375 (4.720)	Prec@5 21.094 (16.138)
Epoch: [26][2260/7045]	Time 0.565 (0.249)	Data 0.512 (0.187)	Loss 5.0959 (5.0039)	Prec@1 4.297 (4.718)	Prec@5 19.141 (16.134)
Epoch: [26][2270/7045]	Time 0.384 (0.249)	Data 0.334 (0.187)	Loss 5.0537 (5.0041)	Prec@1 5.078 (4.720)	Prec@5 15.625 (16.131)
Epoch: [26][2280/7045]	Time 0.408 (0.249)	Data 0.352 (0.187)	Loss 4.8263 (5.0039)	Prec@1 7.031 (4.720)	Prec@5 19.141 (16.133)
Epoch: [26][2290/7045]	Time 0.208 (0.249)	Data 0.156 (0.187)	Loss 5.0831 (5.0040)	Prec@1 5.078 (4.719)	Prec@5 14.453 (16.132)
Epoch: [26][2300/7045]	Time 0.165 (0.249)	Data 0.106 (0.187)	Loss 4.9011 (5.0041)	Prec@1 5.859 (4.719)	Prec@5 18.359 (16.133)
Epoch: [26][2310/7045]	Time 0.127 (0.249)	Data 0.074 (0.187)	Loss 4.9321 (5.0039)	Prec@1 6.250 (4.723)	Prec@5 20.703 (16.138)
Epoch: [26][2320/7045]	Time 0.101 (0.249)	Data 0.050 (0.187)	Loss 5.1528 (5.0041)	Prec@1 3.125 (4.721)	Prec@5 12.109 (16.133)
Epoch: [26][2330/7045]	Time 0.123 (0.249)	Data 0.072 (0.186)	Loss 4.9564 (5.0042)	Prec@1 4.688 (4.720)	Prec@5 16.406 (16.130)
Epoch: [26][2340/7045]	Time 0.124 (0.249)	Data 0.072 (0.187)	Loss 4.9279 (5.0041)	Prec@1 5.078 (4.719)	Prec@5 16.406 (16.133)
Epoch: [26][2350/7045]	Time 0.102 (0.249)	Data 0.001 (0.186)	Loss 5.1214 (5.0042)	Prec@1 5.469 (4.719)	Prec@5 15.234 (16.135)
Epoch: [26][2360/7045]	Time 0.164 (0.249)	Data 0.114 (0.186)	Loss 4.9287 (5.0043)	Prec@1 3.125 (4.717)	Prec@5 17.188 (16.128)
Epoch: [26][2370/7045]	Time 0.109 (0.249)	Data 0.057 (0.186)	Loss 4.9591 (5.0041)	Prec@1 1.172 (4.717)	Prec@5 16.406 (16.133)
Epoch: [26][2380/7045]	Time 0.418 (0.249)	Data 0.365 (0.187)	Loss 5.1903 (5.0043)	Prec@1 3.125 (4.715)	Prec@5 12.891 (16.128)
Epoch: [26][2390/7045]	Time 0.101 (0.249)	Data 0.046 (0.186)	Loss 5.0522 (5.0045)	Prec@1 5.078 (4.715)	Prec@5 15.234 (16.125)
Epoch: [26][2400/7045]	Time 0.517 (0.249)	Data 0.456 (0.187)	Loss 4.9873 (5.0049)	Prec@1 3.125 (4.711)	Prec@5 10.156 (16.114)
Epoch: [26][2410/7045]	Time 0.145 (0.249)	Data 0.093 (0.186)	Loss 5.1853 (5.0051)	Prec@1 4.688 (4.710)	Prec@5 12.109 (16.113)
Epoch: [26][2420/7045]	Time 0.553 (0.249)	Data 0.502 (0.187)	Loss 4.9746 (5.0051)	Prec@1 4.297 (4.711)	Prec@5 16.016 (16.113)
Epoch: [26][2430/7045]	Time 0.156 (0.249)	Data 0.105 (0.187)	Loss 4.8546 (5.0048)	Prec@1 3.906 (4.710)	Prec@5 19.922 (16.120)
Epoch: [26][2440/7045]	Time 0.525 (0.249)	Data 0.474 (0.187)	Loss 5.0925 (5.0046)	Prec@1 1.172 (4.711)	Prec@5 10.938 (16.123)
Epoch: [26][2450/7045]	Time 0.107 (0.249)	Data 0.001 (0.187)	Loss 5.0132 (5.0044)	Prec@1 5.469 (4.714)	Prec@5 17.578 (16.126)
Epoch: [26][2460/7045]	Time 0.522 (0.249)	Data 0.470 (0.187)	Loss 5.0455 (5.0043)	Prec@1 3.516 (4.715)	Prec@5 12.891 (16.132)
Epoch: [26][2470/7045]	Time 0.109 (0.249)	Data 0.005 (0.186)	Loss 5.0149 (5.0043)	Prec@1 5.469 (4.715)	Prec@5 16.797 (16.134)
Epoch: [26][2480/7045]	Time 0.417 (0.249)	Data 0.363 (0.186)	Loss 5.0163 (5.0042)	Prec@1 5.469 (4.713)	Prec@5 18.750 (16.134)
Epoch: [26][2490/7045]	Time 0.110 (0.249)	Data 0.005 (0.186)	Loss 5.0993 (5.0044)	Prec@1 5.078 (4.711)	Prec@5 14.062 (16.132)
Epoch: [26][2500/7045]	Time 0.445 (0.249)	Data 0.394 (0.186)	Loss 4.8923 (5.0046)	Prec@1 6.641 (4.712)	Prec@5 17.969 (16.129)
Epoch: [26][2510/7045]	Time 0.128 (0.249)	Data 0.077 (0.186)	Loss 4.9077 (5.0045)	Prec@1 5.078 (4.711)	Prec@5 17.188 (16.131)
Epoch: [26][2520/7045]	Time 0.357 (0.249)	Data 0.305 (0.186)	Loss 4.8951 (5.0045)	Prec@1 3.906 (4.710)	Prec@5 16.406 (16.128)
Epoch: [26][2530/7045]	Time 0.102 (0.249)	Data 0.002 (0.186)	Loss 5.0205 (5.0046)	Prec@1 5.078 (4.705)	Prec@5 13.672 (16.123)
Epoch: [26][2540/7045]	Time 0.240 (0.249)	Data 0.187 (0.186)	Loss 4.8772 (5.0046)	Prec@1 4.297 (4.703)	Prec@5 17.188 (16.121)
Epoch: [26][2550/7045]	Time 0.339 (0.249)	Data 0.288 (0.186)	Loss 5.0712 (5.0048)	Prec@1 4.688 (4.704)	Prec@5 14.453 (16.117)
Epoch: [26][2560/7045]	Time 0.222 (0.249)	Data 0.172 (0.186)	Loss 5.0214 (5.0050)	Prec@1 1.562 (4.701)	Prec@5 9.766 (16.108)
Epoch: [26][2570/7045]	Time 0.532 (0.249)	Data 0.473 (0.187)	Loss 4.9366 (5.0049)	Prec@1 7.422 (4.702)	Prec@5 16.797 (16.109)
Epoch: [26][2580/7045]	Time 0.108 (0.249)	Data 0.055 (0.186)	Loss 4.8721 (5.0048)	Prec@1 4.297 (4.703)	Prec@5 18.359 (16.114)
Epoch: [26][2590/7045]	Time 0.108 (0.249)	Data 0.001 (0.187)	Loss 5.1007 (5.0050)	Prec@1 3.125 (4.704)	Prec@5 12.500 (16.110)
Epoch: [26][2600/7045]	Time 0.106 (0.249)	Data 0.053 (0.186)	Loss 4.9762 (5.0049)	Prec@1 5.078 (4.707)	Prec@5 19.531 (16.111)
Epoch: [26][2610/7045]	Time 0.190 (0.249)	Data 0.139 (0.187)	Loss 5.0934 (5.0050)	Prec@1 3.125 (4.706)	Prec@5 16.406 (16.113)
Epoch: [26][2620/7045]	Time 0.308 (0.249)	Data 0.257 (0.187)	Loss 5.0817 (5.0048)	Prec@1 4.688 (4.704)	Prec@5 14.844 (16.114)
Epoch: [26][2630/7045]	Time 0.251 (0.249)	Data 0.199 (0.187)	Loss 4.8470 (5.0047)	Prec@1 6.641 (4.703)	Prec@5 19.531 (16.116)
Epoch: [26][2640/7045]	Time 0.504 (0.249)	Data 0.453 (0.187)	Loss 5.1543 (5.0049)	Prec@1 2.734 (4.702)	Prec@5 10.547 (16.111)
Epoch: [26][2650/7045]	Time 0.111 (0.249)	Data 0.059 (0.187)	Loss 5.0754 (5.0049)	Prec@1 3.906 (4.702)	Prec@5 13.672 (16.109)
Epoch: [26][2660/7045]	Time 0.428 (0.249)	Data 0.377 (0.187)	Loss 5.1432 (5.0050)	Prec@1 4.297 (4.702)	Prec@5 12.891 (16.106)
Epoch: [26][2670/7045]	Time 0.162 (0.249)	Data 0.110 (0.187)	Loss 5.0990 (5.0050)	Prec@1 7.031 (4.701)	Prec@5 15.234 (16.106)
Epoch: [26][2680/7045]	Time 0.403 (0.249)	Data 0.351 (0.187)	Loss 4.9553 (5.0050)	Prec@1 3.125 (4.701)	Prec@5 14.062 (16.105)
Epoch: [26][2690/7045]	Time 0.323 (0.249)	Data 0.272 (0.187)	Loss 4.9335 (5.0049)	Prec@1 5.078 (4.698)	Prec@5 20.312 (16.103)
Epoch: [26][2700/7045]	Time 0.373 (0.249)	Data 0.322 (0.187)	Loss 5.0007 (5.0049)	Prec@1 5.078 (4.698)	Prec@5 16.016 (16.104)
Epoch: [26][2710/7045]	Time 0.310 (0.249)	Data 0.259 (0.187)	Loss 4.9331 (5.0047)	Prec@1 6.250 (4.700)	Prec@5 17.188 (16.105)
Epoch: [26][2720/7045]	Time 0.171 (0.249)	Data 0.121 (0.187)	Loss 5.0020 (5.0047)	Prec@1 3.906 (4.700)	Prec@5 13.281 (16.105)
Epoch: [26][2730/7045]	Time 0.268 (0.249)	Data 0.217 (0.187)	Loss 5.0522 (5.0046)	Prec@1 5.078 (4.702)	Prec@5 17.969 (16.110)
Epoch: [26][2740/7045]	Time 0.100 (0.249)	Data 0.048 (0.187)	Loss 4.9631 (5.0047)	Prec@1 4.688 (4.700)	Prec@5 19.141 (16.108)
Epoch: [26][2750/7045]	Time 0.162 (0.249)	Data 0.110 (0.187)	Loss 4.9598 (5.0046)	Prec@1 6.641 (4.701)	Prec@5 15.625 (16.110)
Epoch: [26][2760/7045]	Time 0.569 (0.249)	Data 0.518 (0.187)	Loss 4.9666 (5.0045)	Prec@1 3.516 (4.702)	Prec@5 17.188 (16.116)
Epoch: [26][2770/7045]	Time 0.101 (0.249)	Data 0.001 (0.187)	Loss 5.0254 (5.0045)	Prec@1 1.953 (4.704)	Prec@5 13.672 (16.119)
Epoch: [26][2780/7045]	Time 0.628 (0.249)	Data 0.576 (0.187)	Loss 5.0910 (5.0045)	Prec@1 5.469 (4.704)	Prec@5 15.625 (16.120)
Epoch: [26][2790/7045]	Time 0.310 (0.249)	Data 0.259 (0.187)	Loss 4.9480 (5.0042)	Prec@1 6.250 (4.705)	Prec@5 19.922 (16.127)
Epoch: [26][2800/7045]	Time 0.516 (0.249)	Data 0.466 (0.187)	Loss 4.9378 (5.0040)	Prec@1 4.688 (4.707)	Prec@5 17.578 (16.131)
Epoch: [26][2810/7045]	Time 0.229 (0.249)	Data 0.178 (0.187)	Loss 5.0991 (5.0038)	Prec@1 3.906 (4.707)	Prec@5 15.625 (16.134)
Epoch: [26][2820/7045]	Time 0.097 (0.249)	Data 0.001 (0.187)	Loss 5.0087 (5.0040)	Prec@1 3.125 (4.706)	Prec@5 12.891 (16.132)
Epoch: [26][2830/7045]	Time 0.153 (0.249)	Data 0.101 (0.186)	Loss 5.0969 (5.0039)	Prec@1 4.297 (4.704)	Prec@5 15.234 (16.134)
Epoch: [26][2840/7045]	Time 0.271 (0.249)	Data 0.218 (0.187)	Loss 4.9473 (5.0039)	Prec@1 4.297 (4.704)	Prec@5 15.625 (16.133)
Epoch: [26][2850/7045]	Time 0.101 (0.249)	Data 0.005 (0.186)	Loss 4.8379 (5.0041)	Prec@1 4.688 (4.704)	Prec@5 14.844 (16.129)
Epoch: [26][2860/7045]	Time 0.252 (0.249)	Data 0.200 (0.186)	Loss 5.0416 (5.0040)	Prec@1 4.688 (4.703)	Prec@5 17.188 (16.131)
Epoch: [26][2870/7045]	Time 0.193 (0.249)	Data 0.142 (0.187)	Loss 4.9945 (5.0039)	Prec@1 5.469 (4.703)	Prec@5 15.234 (16.132)
Epoch: [26][2880/7045]	Time 0.127 (0.249)	Data 0.076 (0.187)	Loss 5.1021 (5.0038)	Prec@1 5.078 (4.705)	Prec@5 16.406 (16.138)
Epoch: [26][2890/7045]	Time 0.470 (0.249)	Data 0.414 (0.187)	Loss 4.9878 (5.0037)	Prec@1 4.688 (4.705)	Prec@5 16.406 (16.141)
Epoch: [26][2900/7045]	Time 0.101 (0.249)	Data 0.001 (0.187)	Loss 5.2444 (5.0040)	Prec@1 3.516 (4.703)	Prec@5 13.281 (16.136)
Epoch: [26][2910/7045]	Time 0.581 (0.249)	Data 0.521 (0.187)	Loss 5.0549 (5.0041)	Prec@1 4.297 (4.703)	Prec@5 16.797 (16.137)
Epoch: [26][2920/7045]	Time 0.112 (0.249)	Data 0.061 (0.187)	Loss 5.0772 (5.0044)	Prec@1 3.125 (4.700)	Prec@5 12.891 (16.131)
Epoch: [26][2930/7045]	Time 0.408 (0.249)	Data 0.357 (0.187)	Loss 5.1142 (5.0045)	Prec@1 3.906 (4.702)	Prec@5 13.281 (16.132)
Epoch: [26][2940/7045]	Time 0.170 (0.249)	Data 0.118 (0.187)	Loss 4.9906 (5.0046)	Prec@1 4.688 (4.699)	Prec@5 16.016 (16.131)
Epoch: [26][2950/7045]	Time 0.101 (0.249)	Data 0.004 (0.187)	Loss 5.1509 (5.0044)	Prec@1 3.125 (4.698)	Prec@5 15.234 (16.136)
Epoch: [26][2960/7045]	Time 0.271 (0.249)	Data 0.220 (0.187)	Loss 5.1213 (5.0044)	Prec@1 6.250 (4.699)	Prec@5 13.672 (16.134)
Epoch: [26][2970/7045]	Time 0.168 (0.249)	Data 0.113 (0.187)	Loss 4.9359 (5.0045)	Prec@1 5.469 (4.700)	Prec@5 17.188 (16.135)
Epoch: [26][2980/7045]	Time 0.231 (0.249)	Data 0.179 (0.187)	Loss 5.0653 (5.0046)	Prec@1 5.078 (4.702)	Prec@5 13.281 (16.136)
Epoch: [26][2990/7045]	Time 0.395 (0.249)	Data 0.344 (0.187)	Loss 4.8447 (5.0045)	Prec@1 4.688 (4.703)	Prec@5 19.531 (16.140)
Epoch: [26][3000/7045]	Time 0.101 (0.249)	Data 0.044 (0.187)	Loss 4.9902 (5.0045)	Prec@1 1.562 (4.703)	Prec@5 16.797 (16.142)
Epoch: [26][3010/7045]	Time 0.407 (0.249)	Data 0.349 (0.187)	Loss 5.0034 (5.0044)	Prec@1 5.078 (4.703)	Prec@5 17.578 (16.143)
Epoch: [26][3020/7045]	Time 0.102 (0.249)	Data 0.001 (0.187)	Loss 4.8125 (5.0045)	Prec@1 6.250 (4.702)	Prec@5 21.094 (16.140)
Epoch: [26][3030/7045]	Time 0.468 (0.249)	Data 0.417 (0.187)	Loss 5.0948 (5.0046)	Prec@1 3.516 (4.702)	Prec@5 13.281 (16.137)
Epoch: [26][3040/7045]	Time 0.101 (0.249)	Data 0.001 (0.186)	Loss 5.1142 (5.0048)	Prec@1 4.688 (4.701)	Prec@5 13.672 (16.134)
Epoch: [26][3050/7045]	Time 0.461 (0.249)	Data 0.404 (0.187)	Loss 5.0097 (5.0052)	Prec@1 5.859 (4.699)	Prec@5 15.234 (16.126)
Epoch: [26][3060/7045]	Time 0.101 (0.249)	Data 0.001 (0.186)	Loss 5.0450 (5.0053)	Prec@1 6.641 (4.699)	Prec@5 14.844 (16.127)
Epoch: [26][3070/7045]	Time 0.306 (0.249)	Data 0.254 (0.186)	Loss 5.0058 (5.0054)	Prec@1 6.250 (4.701)	Prec@5 13.672 (16.127)
Epoch: [26][3080/7045]	Time 0.102 (0.249)	Data 0.001 (0.186)	Loss 4.9744 (5.0052)	Prec@1 4.297 (4.703)	Prec@5 14.062 (16.133)
Epoch: [26][3090/7045]	Time 0.333 (0.249)	Data 0.282 (0.186)	Loss 5.0079 (5.0050)	Prec@1 5.078 (4.705)	Prec@5 19.922 (16.138)
Epoch: [26][3100/7045]	Time 0.101 (0.249)	Data 0.047 (0.186)	Loss 4.8854 (5.0048)	Prec@1 5.859 (4.707)	Prec@5 17.969 (16.142)
Epoch: [26][3110/7045]	Time 0.215 (0.249)	Data 0.164 (0.186)	Loss 4.9326 (5.0049)	Prec@1 4.297 (4.706)	Prec@5 16.406 (16.141)
Epoch: [26][3120/7045]	Time 0.186 (0.249)	Data 0.136 (0.186)	Loss 5.1308 (5.0048)	Prec@1 6.250 (4.706)	Prec@5 15.625 (16.140)
Epoch: [26][3130/7045]	Time 0.360 (0.249)	Data 0.309 (0.186)	Loss 5.1362 (5.0049)	Prec@1 4.688 (4.705)	Prec@5 14.453 (16.138)
Epoch: [26][3140/7045]	Time 0.217 (0.249)	Data 0.166 (0.186)	Loss 4.8853 (5.0048)	Prec@1 6.250 (4.706)	Prec@5 16.797 (16.140)
Epoch: [26][3150/7045]	Time 0.438 (0.249)	Data 0.387 (0.186)	Loss 5.0550 (5.0048)	Prec@1 4.297 (4.705)	Prec@5 14.844 (16.141)
Epoch: [26][3160/7045]	Time 0.189 (0.249)	Data 0.138 (0.186)	Loss 4.9137 (5.0050)	Prec@1 5.469 (4.704)	Prec@5 21.094 (16.138)
Epoch: [26][3170/7045]	Time 0.453 (0.249)	Data 0.403 (0.186)	Loss 4.9671 (5.0050)	Prec@1 1.953 (4.703)	Prec@5 16.016 (16.138)
Epoch: [26][3180/7045]	Time 0.103 (0.249)	Data 0.050 (0.186)	Loss 5.0619 (5.0050)	Prec@1 4.297 (4.704)	Prec@5 17.578 (16.138)
Epoch: [26][3190/7045]	Time 0.431 (0.249)	Data 0.379 (0.186)	Loss 5.0568 (5.0050)	Prec@1 6.250 (4.706)	Prec@5 12.500 (16.137)
Epoch: [26][3200/7045]	Time 0.184 (0.248)	Data 0.133 (0.186)	Loss 5.1441 (5.0052)	Prec@1 3.906 (4.704)	Prec@5 12.109 (16.133)
Epoch: [26][3210/7045]	Time 0.382 (0.249)	Data 0.331 (0.186)	Loss 5.1194 (5.0055)	Prec@1 5.078 (4.703)	Prec@5 14.453 (16.130)
Epoch: [26][3220/7045]	Time 0.329 (0.249)	Data 0.278 (0.186)	Loss 4.9599 (5.0054)	Prec@1 4.688 (4.703)	Prec@5 15.625 (16.131)
Epoch: [26][3230/7045]	Time 0.434 (0.249)	Data 0.383 (0.186)	Loss 4.9646 (5.0052)	Prec@1 5.859 (4.705)	Prec@5 16.797 (16.130)
Epoch: [26][3240/7045]	Time 0.306 (0.248)	Data 0.250 (0.186)	Loss 4.9160 (5.0052)	Prec@1 6.641 (4.705)	Prec@5 17.969 (16.129)
Epoch: [26][3250/7045]	Time 0.354 (0.248)	Data 0.303 (0.186)	Loss 4.8831 (5.0052)	Prec@1 3.906 (4.706)	Prec@5 19.531 (16.130)
Epoch: [26][3260/7045]	Time 0.432 (0.248)	Data 0.380 (0.186)	Loss 5.0741 (5.0051)	Prec@1 3.906 (4.708)	Prec@5 13.281 (16.132)
Epoch: [26][3270/7045]	Time 0.118 (0.248)	Data 0.067 (0.186)	Loss 4.9295 (5.0052)	Prec@1 4.688 (4.708)	Prec@5 15.625 (16.130)
Epoch: [26][3280/7045]	Time 0.381 (0.249)	Data 0.331 (0.186)	Loss 5.1563 (5.0052)	Prec@1 5.469 (4.708)	Prec@5 13.281 (16.131)
Epoch: [26][3290/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 4.9588 (5.0052)	Prec@1 3.906 (4.709)	Prec@5 17.578 (16.133)
Epoch: [26][3300/7045]	Time 0.439 (0.249)	Data 0.380 (0.186)	Loss 5.1472 (5.0056)	Prec@1 2.344 (4.708)	Prec@5 11.719 (16.127)
Epoch: [26][3310/7045]	Time 0.107 (0.248)	Data 0.054 (0.186)	Loss 5.0684 (5.0057)	Prec@1 5.078 (4.707)	Prec@5 15.625 (16.122)
Epoch: [26][3320/7045]	Time 0.480 (0.248)	Data 0.429 (0.186)	Loss 4.8761 (5.0056)	Prec@1 4.688 (4.708)	Prec@5 19.922 (16.127)
Epoch: [26][3330/7045]	Time 0.121 (0.248)	Data 0.069 (0.186)	Loss 5.0473 (5.0056)	Prec@1 4.297 (4.707)	Prec@5 14.453 (16.127)
Epoch: [26][3340/7045]	Time 0.601 (0.249)	Data 0.549 (0.186)	Loss 5.0382 (5.0056)	Prec@1 5.469 (4.709)	Prec@5 12.500 (16.123)
Epoch: [26][3350/7045]	Time 0.101 (0.248)	Data 0.045 (0.186)	Loss 5.0889 (5.0057)	Prec@1 3.906 (4.710)	Prec@5 12.500 (16.123)
Epoch: [26][3360/7045]	Time 0.546 (0.248)	Data 0.490 (0.186)	Loss 5.0135 (5.0056)	Prec@1 6.641 (4.710)	Prec@5 17.578 (16.123)
Epoch: [26][3370/7045]	Time 0.109 (0.248)	Data 0.001 (0.186)	Loss 4.9054 (5.0055)	Prec@1 4.297 (4.710)	Prec@5 17.578 (16.127)
Epoch: [26][3380/7045]	Time 0.449 (0.248)	Data 0.393 (0.186)	Loss 4.8407 (5.0054)	Prec@1 7.422 (4.713)	Prec@5 18.359 (16.131)
Epoch: [26][3390/7045]	Time 0.219 (0.248)	Data 0.169 (0.186)	Loss 4.9829 (5.0053)	Prec@1 5.469 (4.714)	Prec@5 17.578 (16.131)
Epoch: [26][3400/7045]	Time 0.499 (0.248)	Data 0.449 (0.186)	Loss 4.8865 (5.0052)	Prec@1 4.297 (4.715)	Prec@5 13.672 (16.133)
Epoch: [26][3410/7045]	Time 0.218 (0.248)	Data 0.167 (0.186)	Loss 5.0649 (5.0052)	Prec@1 4.297 (4.717)	Prec@5 13.672 (16.132)
Epoch: [26][3420/7045]	Time 0.377 (0.248)	Data 0.319 (0.186)	Loss 4.9955 (5.0053)	Prec@1 5.469 (4.714)	Prec@5 15.625 (16.129)
Epoch: [26][3430/7045]	Time 0.263 (0.248)	Data 0.213 (0.186)	Loss 4.9963 (5.0052)	Prec@1 3.516 (4.714)	Prec@5 18.359 (16.130)
Epoch: [26][3440/7045]	Time 0.221 (0.248)	Data 0.170 (0.186)	Loss 4.8859 (5.0053)	Prec@1 4.688 (4.714)	Prec@5 16.406 (16.128)
Epoch: [26][3450/7045]	Time 0.342 (0.248)	Data 0.291 (0.186)	Loss 4.9264 (5.0055)	Prec@1 6.250 (4.713)	Prec@5 17.969 (16.123)
Epoch: [26][3460/7045]	Time 0.125 (0.248)	Data 0.073 (0.186)	Loss 5.1157 (5.0055)	Prec@1 4.688 (4.711)	Prec@5 14.062 (16.120)
Epoch: [26][3470/7045]	Time 0.312 (0.248)	Data 0.261 (0.186)	Loss 5.0166 (5.0055)	Prec@1 5.078 (4.712)	Prec@5 16.406 (16.120)
Epoch: [26][3480/7045]	Time 0.174 (0.248)	Data 0.123 (0.186)	Loss 5.1793 (5.0056)	Prec@1 3.125 (4.714)	Prec@5 11.719 (16.121)
Epoch: [26][3490/7045]	Time 0.227 (0.248)	Data 0.177 (0.186)	Loss 5.0722 (5.0056)	Prec@1 3.906 (4.713)	Prec@5 14.844 (16.121)
Epoch: [26][3500/7045]	Time 0.460 (0.248)	Data 0.408 (0.186)	Loss 4.8347 (5.0056)	Prec@1 5.469 (4.715)	Prec@5 22.266 (16.120)
Epoch: [26][3510/7045]	Time 0.249 (0.248)	Data 0.198 (0.186)	Loss 4.8130 (5.0055)	Prec@1 5.078 (4.717)	Prec@5 18.359 (16.120)
Epoch: [26][3520/7045]	Time 0.338 (0.248)	Data 0.286 (0.186)	Loss 4.9819 (5.0053)	Prec@1 5.859 (4.718)	Prec@5 17.188 (16.127)
Epoch: [26][3530/7045]	Time 0.179 (0.248)	Data 0.127 (0.186)	Loss 4.9770 (5.0053)	Prec@1 3.516 (4.720)	Prec@5 16.797 (16.128)
Epoch: [26][3540/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 4.9270 (5.0052)	Prec@1 6.641 (4.721)	Prec@5 14.062 (16.127)
Epoch: [26][3550/7045]	Time 0.223 (0.248)	Data 0.171 (0.186)	Loss 5.0519 (5.0052)	Prec@1 2.734 (4.719)	Prec@5 13.672 (16.125)
Epoch: [26][3560/7045]	Time 0.227 (0.248)	Data 0.176 (0.186)	Loss 5.0894 (5.0054)	Prec@1 3.906 (4.717)	Prec@5 13.281 (16.117)
Epoch: [26][3570/7045]	Time 0.260 (0.248)	Data 0.209 (0.186)	Loss 4.8882 (5.0055)	Prec@1 3.906 (4.716)	Prec@5 17.969 (16.114)
Epoch: [26][3580/7045]	Time 0.441 (0.248)	Data 0.389 (0.186)	Loss 4.9444 (5.0055)	Prec@1 5.469 (4.714)	Prec@5 16.016 (16.110)
Epoch: [26][3590/7045]	Time 0.328 (0.248)	Data 0.273 (0.186)	Loss 4.9530 (5.0054)	Prec@1 5.469 (4.715)	Prec@5 17.969 (16.113)
Epoch: [26][3600/7045]	Time 0.387 (0.248)	Data 0.334 (0.186)	Loss 4.7856 (5.0051)	Prec@1 6.641 (4.719)	Prec@5 19.531 (16.119)
Epoch: [26][3610/7045]	Time 0.362 (0.248)	Data 0.310 (0.186)	Loss 5.1018 (5.0050)	Prec@1 3.516 (4.719)	Prec@5 14.844 (16.123)
Epoch: [26][3620/7045]	Time 0.338 (0.248)	Data 0.286 (0.186)	Loss 4.8454 (5.0049)	Prec@1 6.641 (4.719)	Prec@5 18.359 (16.123)
Epoch: [26][3630/7045]	Time 0.322 (0.248)	Data 0.271 (0.186)	Loss 4.9862 (5.0048)	Prec@1 3.516 (4.718)	Prec@5 15.625 (16.124)
Epoch: [26][3640/7045]	Time 0.261 (0.248)	Data 0.210 (0.186)	Loss 4.9195 (5.0050)	Prec@1 6.250 (4.716)	Prec@5 17.969 (16.119)
Epoch: [26][3650/7045]	Time 0.247 (0.248)	Data 0.196 (0.186)	Loss 5.1035 (5.0051)	Prec@1 4.297 (4.716)	Prec@5 16.016 (16.117)
Epoch: [26][3660/7045]	Time 0.165 (0.248)	Data 0.114 (0.186)	Loss 4.8540 (5.0049)	Prec@1 7.031 (4.715)	Prec@5 19.531 (16.117)
Epoch: [26][3670/7045]	Time 0.245 (0.248)	Data 0.195 (0.186)	Loss 5.1314 (5.0050)	Prec@1 3.516 (4.715)	Prec@5 11.328 (16.116)
Epoch: [26][3680/7045]	Time 0.109 (0.248)	Data 0.055 (0.186)	Loss 4.9689 (5.0050)	Prec@1 2.734 (4.713)	Prec@5 17.969 (16.115)
Epoch: [26][3690/7045]	Time 0.114 (0.248)	Data 0.062 (0.186)	Loss 4.9689 (5.0050)	Prec@1 3.125 (4.712)	Prec@5 14.062 (16.114)
Epoch: [26][3700/7045]	Time 0.102 (0.248)	Data 0.003 (0.186)	Loss 5.0065 (5.0049)	Prec@1 4.297 (4.713)	Prec@5 14.844 (16.115)
Epoch: [26][3710/7045]	Time 0.107 (0.248)	Data 0.002 (0.186)	Loss 5.0791 (5.0050)	Prec@1 4.688 (4.712)	Prec@5 15.625 (16.115)
Epoch: [26][3720/7045]	Time 0.102 (0.248)	Data 0.003 (0.186)	Loss 4.9400 (5.0049)	Prec@1 6.250 (4.712)	Prec@5 16.406 (16.115)
Epoch: [26][3730/7045]	Time 0.101 (0.248)	Data 0.001 (0.186)	Loss 4.9766 (5.0048)	Prec@1 5.078 (4.713)	Prec@5 18.750 (16.117)
Epoch: [26][3740/7045]	Time 0.112 (0.248)	Data 0.060 (0.186)	Loss 5.0291 (5.0048)	Prec@1 4.688 (4.711)	Prec@5 18.359 (16.115)
Epoch: [26][3750/7045]	Time 0.102 (0.248)	Data 0.049 (0.186)	Loss 4.9601 (5.0049)	Prec@1 4.688 (4.711)	Prec@5 16.797 (16.118)
Epoch: [26][3760/7045]	Time 0.305 (0.248)	Data 0.255 (0.186)	Loss 5.0159 (5.0049)	Prec@1 4.688 (4.711)	Prec@5 16.016 (16.116)
Epoch: [26][3770/7045]	Time 0.160 (0.248)	Data 0.109 (0.186)	Loss 4.9668 (5.0049)	Prec@1 5.469 (4.711)	Prec@5 16.797 (16.118)
Epoch: [26][3780/7045]	Time 0.567 (0.248)	Data 0.507 (0.186)	Loss 5.0293 (5.0049)	Prec@1 4.688 (4.711)	Prec@5 15.234 (16.119)
Epoch: [26][3790/7045]	Time 0.101 (0.248)	Data 0.002 (0.186)	Loss 5.0119 (5.0048)	Prec@1 3.516 (4.711)	Prec@5 16.406 (16.121)
Epoch: [26][3800/7045]	Time 0.443 (0.248)	Data 0.391 (0.186)	Loss 4.9348 (5.0048)	Prec@1 3.906 (4.711)	Prec@5 18.750 (16.121)
Epoch: [26][3810/7045]	Time 0.187 (0.248)	Data 0.128 (0.186)	Loss 4.8559 (5.0048)	Prec@1 5.859 (4.713)	Prec@5 18.359 (16.125)
Epoch: [26][3820/7045]	Time 0.189 (0.248)	Data 0.138 (0.186)	Loss 5.0907 (5.0047)	Prec@1 4.297 (4.714)	Prec@5 12.109 (16.125)
Epoch: [26][3830/7045]	Time 0.216 (0.248)	Data 0.164 (0.186)	Loss 5.0173 (5.0046)	Prec@1 2.734 (4.714)	Prec@5 13.672 (16.126)
Epoch: [26][3840/7045]	Time 0.225 (0.248)	Data 0.173 (0.186)	Loss 5.0260 (5.0047)	Prec@1 4.297 (4.714)	Prec@5 13.672 (16.124)
Epoch: [26][3850/7045]	Time 0.230 (0.248)	Data 0.179 (0.186)	Loss 4.9709 (5.0046)	Prec@1 2.734 (4.712)	Prec@5 16.016 (16.121)
Epoch: [26][3860/7045]	Time 0.333 (0.248)	Data 0.275 (0.186)	Loss 4.9899 (5.0046)	Prec@1 3.125 (4.711)	Prec@5 14.062 (16.118)
Epoch: [26][3870/7045]	Time 0.161 (0.248)	Data 0.110 (0.186)	Loss 4.9164 (5.0045)	Prec@1 4.688 (4.710)	Prec@5 17.969 (16.121)
Epoch: [26][3880/7045]	Time 0.332 (0.248)	Data 0.281 (0.186)	Loss 5.0623 (5.0047)	Prec@1 4.688 (4.710)	Prec@5 14.453 (16.117)
Epoch: [26][3890/7045]	Time 0.100 (0.248)	Data 0.046 (0.186)	Loss 5.1715 (5.0047)	Prec@1 3.516 (4.710)	Prec@5 12.891 (16.118)
Epoch: [26][3900/7045]	Time 0.331 (0.248)	Data 0.280 (0.186)	Loss 5.0700 (5.0050)	Prec@1 4.297 (4.709)	Prec@5 13.281 (16.110)
Epoch: [26][3910/7045]	Time 0.101 (0.248)	Data 0.007 (0.186)	Loss 5.0185 (5.0051)	Prec@1 5.469 (4.710)	Prec@5 17.578 (16.112)
Epoch: [26][3920/7045]	Time 0.469 (0.248)	Data 0.417 (0.186)	Loss 5.0854 (5.0051)	Prec@1 3.906 (4.709)	Prec@5 14.844 (16.110)
Epoch: [26][3930/7045]	Time 0.250 (0.248)	Data 0.199 (0.186)	Loss 4.9815 (5.0052)	Prec@1 3.125 (4.707)	Prec@5 15.234 (16.110)
Epoch: [26][3940/7045]	Time 0.220 (0.248)	Data 0.168 (0.186)	Loss 4.9878 (5.0051)	Prec@1 3.516 (4.707)	Prec@5 16.016 (16.112)
Epoch: [26][3950/7045]	Time 0.724 (0.248)	Data 0.672 (0.186)	Loss 4.9314 (5.0052)	Prec@1 5.078 (4.706)	Prec@5 15.625 (16.110)
Epoch: [26][3960/7045]	Time 0.100 (0.248)	Data 0.001 (0.186)	Loss 4.9704 (5.0051)	Prec@1 4.297 (4.706)	Prec@5 18.750 (16.113)
Epoch: [26][3970/7045]	Time 0.378 (0.248)	Data 0.327 (0.186)	Loss 5.0674 (5.0050)	Prec@1 5.859 (4.706)	Prec@5 16.797 (16.113)
Epoch: [26][3980/7045]	Time 0.458 (0.248)	Data 0.407 (0.186)	Loss 5.0534 (5.0050)	Prec@1 4.688 (4.707)	Prec@5 15.625 (16.114)
Epoch: [26][3990/7045]	Time 0.347 (0.248)	Data 0.296 (0.186)	Loss 5.1872 (5.0052)	Prec@1 1.953 (4.705)	Prec@5 10.156 (16.109)
Epoch: [26][4000/7045]	Time 0.167 (0.248)	Data 0.115 (0.186)	Loss 5.0108 (5.0053)	Prec@1 3.516 (4.704)	Prec@5 15.234 (16.107)
Epoch: [26][4010/7045]	Time 0.131 (0.248)	Data 0.080 (0.186)	Loss 4.9507 (5.0054)	Prec@1 6.641 (4.702)	Prec@5 16.406 (16.105)
Epoch: [26][4020/7045]	Time 0.125 (0.248)	Data 0.072 (0.186)	Loss 4.9655 (5.0054)	Prec@1 5.859 (4.702)	Prec@5 17.578 (16.106)
Epoch: [26][4030/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 4.9716 (5.0053)	Prec@1 3.906 (4.704)	Prec@5 17.969 (16.108)
Epoch: [26][4040/7045]	Time 0.108 (0.248)	Data 0.001 (0.186)	Loss 4.9026 (5.0053)	Prec@1 6.641 (4.705)	Prec@5 17.188 (16.108)
Epoch: [26][4050/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 5.0454 (5.0054)	Prec@1 5.078 (4.703)	Prec@5 14.453 (16.105)
Epoch: [26][4060/7045]	Time 0.107 (0.248)	Data 0.008 (0.186)	Loss 4.9338 (5.0053)	Prec@1 3.906 (4.703)	Prec@5 17.578 (16.109)
Epoch: [26][4070/7045]	Time 0.101 (0.248)	Data 0.001 (0.186)	Loss 5.1267 (5.0052)	Prec@1 3.516 (4.703)	Prec@5 15.625 (16.112)
Epoch: [26][4080/7045]	Time 0.212 (0.248)	Data 0.155 (0.186)	Loss 4.9113 (5.0053)	Prec@1 5.859 (4.705)	Prec@5 20.312 (16.115)
Epoch: [26][4090/7045]	Time 0.134 (0.248)	Data 0.082 (0.186)	Loss 4.8743 (5.0054)	Prec@1 5.469 (4.705)	Prec@5 15.234 (16.113)
Epoch: [26][4100/7045]	Time 0.106 (0.248)	Data 0.054 (0.186)	Loss 4.9771 (5.0053)	Prec@1 2.734 (4.706)	Prec@5 13.672 (16.115)
Epoch: [26][4110/7045]	Time 0.336 (0.248)	Data 0.286 (0.186)	Loss 4.8979 (5.0052)	Prec@1 5.078 (4.707)	Prec@5 15.234 (16.116)
Epoch: [26][4120/7045]	Time 0.101 (0.248)	Data 0.004 (0.186)	Loss 4.8858 (5.0050)	Prec@1 4.297 (4.710)	Prec@5 15.625 (16.120)
Epoch: [26][4130/7045]	Time 0.618 (0.248)	Data 0.567 (0.186)	Loss 5.0374 (5.0050)	Prec@1 4.297 (4.710)	Prec@5 14.844 (16.121)
Epoch: [26][4140/7045]	Time 0.108 (0.248)	Data 0.004 (0.186)	Loss 4.9669 (5.0049)	Prec@1 6.641 (4.711)	Prec@5 18.750 (16.122)
Epoch: [26][4150/7045]	Time 0.543 (0.248)	Data 0.491 (0.186)	Loss 5.0109 (5.0049)	Prec@1 3.125 (4.710)	Prec@5 13.672 (16.123)
Epoch: [26][4160/7045]	Time 0.323 (0.248)	Data 0.272 (0.186)	Loss 5.0073 (5.0049)	Prec@1 5.078 (4.710)	Prec@5 20.703 (16.123)
Epoch: [26][4170/7045]	Time 0.379 (0.248)	Data 0.328 (0.186)	Loss 5.0895 (5.0050)	Prec@1 2.734 (4.709)	Prec@5 14.453 (16.122)
Epoch: [26][4180/7045]	Time 0.275 (0.248)	Data 0.225 (0.186)	Loss 5.2712 (5.0048)	Prec@1 4.688 (4.709)	Prec@5 11.328 (16.126)
Epoch: [26][4190/7045]	Time 0.240 (0.248)	Data 0.189 (0.186)	Loss 5.0217 (5.0048)	Prec@1 4.297 (4.709)	Prec@5 16.797 (16.127)
Epoch: [26][4200/7045]	Time 0.107 (0.248)	Data 0.055 (0.186)	Loss 5.1382 (5.0049)	Prec@1 4.688 (4.707)	Prec@5 13.672 (16.126)
Epoch: [26][4210/7045]	Time 0.208 (0.248)	Data 0.151 (0.186)	Loss 4.9293 (5.0048)	Prec@1 4.297 (4.708)	Prec@5 14.453 (16.125)
Epoch: [26][4220/7045]	Time 0.098 (0.248)	Data 0.045 (0.186)	Loss 4.8280 (5.0047)	Prec@1 7.031 (4.708)	Prec@5 22.266 (16.127)
Epoch: [26][4230/7045]	Time 0.110 (0.248)	Data 0.001 (0.186)	Loss 4.9538 (5.0047)	Prec@1 4.297 (4.708)	Prec@5 15.625 (16.125)
Epoch: [26][4240/7045]	Time 0.433 (0.248)	Data 0.382 (0.186)	Loss 5.0598 (5.0046)	Prec@1 4.297 (4.710)	Prec@5 16.016 (16.129)
Epoch: [26][4250/7045]	Time 0.253 (0.248)	Data 0.197 (0.186)	Loss 5.0746 (5.0046)	Prec@1 4.297 (4.712)	Prec@5 12.109 (16.130)
Epoch: [26][4260/7045]	Time 0.450 (0.248)	Data 0.394 (0.186)	Loss 4.9083 (5.0044)	Prec@1 3.906 (4.713)	Prec@5 16.797 (16.135)
Epoch: [26][4270/7045]	Time 0.394 (0.248)	Data 0.342 (0.186)	Loss 5.0293 (5.0043)	Prec@1 4.297 (4.712)	Prec@5 13.281 (16.136)
Epoch: [26][4280/7045]	Time 0.110 (0.248)	Data 0.001 (0.186)	Loss 5.0437 (5.0043)	Prec@1 4.297 (4.711)	Prec@5 12.891 (16.135)
Epoch: [26][4290/7045]	Time 0.428 (0.248)	Data 0.377 (0.186)	Loss 4.7842 (5.0042)	Prec@1 7.031 (4.713)	Prec@5 17.969 (16.137)
Epoch: [26][4300/7045]	Time 0.277 (0.248)	Data 0.226 (0.186)	Loss 4.8063 (5.0041)	Prec@1 7.031 (4.714)	Prec@5 21.484 (16.142)
Epoch: [26][4310/7045]	Time 0.354 (0.248)	Data 0.297 (0.186)	Loss 5.0078 (5.0039)	Prec@1 3.906 (4.715)	Prec@5 16.016 (16.142)
Epoch: [26][4320/7045]	Time 0.615 (0.248)	Data 0.564 (0.186)	Loss 5.0952 (5.0039)	Prec@1 3.516 (4.714)	Prec@5 15.234 (16.143)
Epoch: [26][4330/7045]	Time 0.096 (0.248)	Data 0.001 (0.186)	Loss 5.1353 (5.0039)	Prec@1 3.906 (4.715)	Prec@5 11.719 (16.141)
Epoch: [26][4340/7045]	Time 0.637 (0.248)	Data 0.585 (0.186)	Loss 5.0932 (5.0039)	Prec@1 4.297 (4.714)	Prec@5 12.891 (16.140)
Epoch: [26][4350/7045]	Time 0.202 (0.248)	Data 0.151 (0.186)	Loss 5.0107 (5.0040)	Prec@1 5.859 (4.715)	Prec@5 15.234 (16.139)
Epoch: [26][4360/7045]	Time 0.574 (0.248)	Data 0.523 (0.186)	Loss 5.0003 (5.0042)	Prec@1 3.906 (4.713)	Prec@5 16.406 (16.136)
Epoch: [26][4370/7045]	Time 0.159 (0.248)	Data 0.107 (0.186)	Loss 5.0273 (5.0042)	Prec@1 5.469 (4.713)	Prec@5 17.578 (16.135)
Epoch: [26][4380/7045]	Time 0.400 (0.248)	Data 0.348 (0.186)	Loss 5.2015 (5.0044)	Prec@1 1.953 (4.712)	Prec@5 9.766 (16.134)
Epoch: [26][4390/7045]	Time 0.213 (0.248)	Data 0.162 (0.186)	Loss 5.0565 (5.0043)	Prec@1 5.469 (4.712)	Prec@5 17.188 (16.135)
Epoch: [26][4400/7045]	Time 0.461 (0.248)	Data 0.410 (0.186)	Loss 5.0530 (5.0041)	Prec@1 5.859 (4.714)	Prec@5 16.797 (16.140)
Epoch: [26][4410/7045]	Time 0.205 (0.248)	Data 0.154 (0.186)	Loss 4.9289 (5.0040)	Prec@1 5.078 (4.715)	Prec@5 16.797 (16.142)
Epoch: [26][4420/7045]	Time 0.477 (0.248)	Data 0.420 (0.186)	Loss 4.9498 (5.0039)	Prec@1 5.078 (4.714)	Prec@5 16.797 (16.143)
Epoch: [26][4430/7045]	Time 0.227 (0.248)	Data 0.176 (0.186)	Loss 4.8713 (5.0038)	Prec@1 2.344 (4.713)	Prec@5 16.406 (16.143)
Epoch: [26][4440/7045]	Time 0.417 (0.248)	Data 0.365 (0.186)	Loss 5.1352 (5.0038)	Prec@1 1.953 (4.712)	Prec@5 13.281 (16.143)
Epoch: [26][4450/7045]	Time 0.195 (0.248)	Data 0.144 (0.186)	Loss 4.8347 (5.0038)	Prec@1 7.422 (4.710)	Prec@5 18.359 (16.146)
Epoch: [26][4460/7045]	Time 0.160 (0.248)	Data 0.101 (0.186)	Loss 5.1958 (5.0037)	Prec@1 3.125 (4.712)	Prec@5 12.500 (16.149)
Epoch: [26][4470/7045]	Time 0.123 (0.248)	Data 0.071 (0.186)	Loss 4.9732 (5.0036)	Prec@1 3.906 (4.713)	Prec@5 14.844 (16.151)
Epoch: [26][4480/7045]	Time 0.097 (0.248)	Data 0.045 (0.186)	Loss 4.8928 (5.0036)	Prec@1 7.812 (4.713)	Prec@5 17.969 (16.151)
Epoch: [26][4490/7045]	Time 0.215 (0.248)	Data 0.162 (0.186)	Loss 4.8816 (5.0036)	Prec@1 4.297 (4.712)	Prec@5 19.141 (16.151)
Epoch: [26][4500/7045]	Time 0.186 (0.248)	Data 0.129 (0.186)	Loss 4.8885 (5.0035)	Prec@1 5.469 (4.713)	Prec@5 17.969 (16.154)
Epoch: [26][4510/7045]	Time 0.221 (0.248)	Data 0.169 (0.186)	Loss 4.8566 (5.0035)	Prec@1 4.688 (4.713)	Prec@5 16.406 (16.155)
Epoch: [26][4520/7045]	Time 0.207 (0.248)	Data 0.150 (0.186)	Loss 5.0429 (5.0036)	Prec@1 2.734 (4.712)	Prec@5 12.891 (16.151)
Epoch: [26][4530/7045]	Time 0.218 (0.248)	Data 0.166 (0.186)	Loss 5.1171 (5.0036)	Prec@1 5.469 (4.712)	Prec@5 12.500 (16.151)
Epoch: [26][4540/7045]	Time 0.243 (0.248)	Data 0.192 (0.186)	Loss 5.0491 (5.0035)	Prec@1 3.516 (4.711)	Prec@5 15.234 (16.150)
Epoch: [26][4550/7045]	Time 0.106 (0.248)	Data 0.054 (0.186)	Loss 4.8977 (5.0036)	Prec@1 5.859 (4.711)	Prec@5 16.016 (16.148)
Epoch: [26][4560/7045]	Time 0.242 (0.248)	Data 0.190 (0.186)	Loss 4.9346 (5.0034)	Prec@1 5.859 (4.713)	Prec@5 19.141 (16.152)
Epoch: [26][4570/7045]	Time 0.101 (0.248)	Data 0.001 (0.186)	Loss 5.0695 (5.0034)	Prec@1 7.812 (4.715)	Prec@5 16.797 (16.151)
Epoch: [26][4580/7045]	Time 0.108 (0.248)	Data 0.001 (0.186)	Loss 4.9304 (5.0034)	Prec@1 5.469 (4.714)	Prec@5 18.750 (16.151)
Epoch: [26][4590/7045]	Time 0.439 (0.248)	Data 0.387 (0.186)	Loss 5.0534 (5.0034)	Prec@1 3.906 (4.714)	Prec@5 14.844 (16.150)
Epoch: [26][4600/7045]	Time 0.114 (0.248)	Data 0.063 (0.186)	Loss 5.0123 (5.0035)	Prec@1 5.469 (4.713)	Prec@5 13.281 (16.150)
Epoch: [26][4610/7045]	Time 0.888 (0.248)	Data 0.831 (0.186)	Loss 5.0743 (5.0035)	Prec@1 3.516 (4.713)	Prec@5 15.625 (16.149)
Epoch: [26][4620/7045]	Time 0.109 (0.248)	Data 0.056 (0.186)	Loss 5.0684 (5.0036)	Prec@1 3.125 (4.712)	Prec@5 14.453 (16.146)
Epoch: [26][4630/7045]	Time 0.590 (0.248)	Data 0.535 (0.186)	Loss 5.1858 (5.0038)	Prec@1 3.125 (4.712)	Prec@5 15.625 (16.143)
Epoch: [26][4640/7045]	Time 0.150 (0.248)	Data 0.091 (0.186)	Loss 4.9242 (5.0040)	Prec@1 3.516 (4.711)	Prec@5 17.969 (16.140)
Epoch: [26][4650/7045]	Time 0.367 (0.248)	Data 0.315 (0.186)	Loss 5.0251 (5.0041)	Prec@1 5.859 (4.712)	Prec@5 13.281 (16.136)
Epoch: [26][4660/7045]	Time 0.135 (0.248)	Data 0.084 (0.186)	Loss 4.8181 (5.0039)	Prec@1 5.469 (4.715)	Prec@5 19.531 (16.141)
Epoch: [26][4670/7045]	Time 0.104 (0.248)	Data 0.052 (0.186)	Loss 4.7427 (5.0037)	Prec@1 8.594 (4.715)	Prec@5 21.094 (16.141)
Epoch: [26][4680/7045]	Time 0.181 (0.248)	Data 0.130 (0.186)	Loss 4.9894 (5.0039)	Prec@1 2.734 (4.715)	Prec@5 16.406 (16.138)
Epoch: [26][4690/7045]	Time 0.100 (0.248)	Data 0.003 (0.186)	Loss 5.0615 (5.0039)	Prec@1 6.250 (4.716)	Prec@5 14.844 (16.137)
Epoch: [26][4700/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 4.8776 (5.0038)	Prec@1 7.422 (4.716)	Prec@5 19.531 (16.142)
Epoch: [26][4710/7045]	Time 0.101 (0.248)	Data 0.014 (0.186)	Loss 5.0587 (5.0037)	Prec@1 5.078 (4.718)	Prec@5 16.016 (16.142)
Epoch: [26][4720/7045]	Time 0.101 (0.248)	Data 0.047 (0.186)	Loss 4.9088 (5.0036)	Prec@1 3.906 (4.717)	Prec@5 16.406 (16.141)
Epoch: [26][4730/7045]	Time 0.107 (0.248)	Data 0.054 (0.186)	Loss 4.8573 (5.0036)	Prec@1 6.641 (4.718)	Prec@5 18.359 (16.141)
Epoch: [26][4740/7045]	Time 0.411 (0.248)	Data 0.361 (0.186)	Loss 4.9065 (5.0035)	Prec@1 5.469 (4.716)	Prec@5 16.406 (16.141)
Epoch: [26][4750/7045]	Time 0.100 (0.248)	Data 0.014 (0.186)	Loss 5.0455 (5.0036)	Prec@1 5.469 (4.715)	Prec@5 16.016 (16.139)
Epoch: [26][4760/7045]	Time 0.746 (0.248)	Data 0.695 (0.186)	Loss 4.9169 (5.0035)	Prec@1 7.031 (4.717)	Prec@5 20.703 (16.144)
Epoch: [26][4770/7045]	Time 0.101 (0.248)	Data 0.005 (0.186)	Loss 5.1445 (5.0035)	Prec@1 3.125 (4.717)	Prec@5 14.062 (16.142)
Epoch: [26][4780/7045]	Time 0.690 (0.248)	Data 0.630 (0.186)	Loss 4.9273 (5.0033)	Prec@1 3.516 (4.718)	Prec@5 18.750 (16.144)
Epoch: [26][4790/7045]	Time 0.101 (0.248)	Data 0.001 (0.186)	Loss 4.9660 (5.0033)	Prec@1 3.516 (4.718)	Prec@5 14.844 (16.145)
Epoch: [26][4800/7045]	Time 0.742 (0.248)	Data 0.689 (0.186)	Loss 4.9636 (5.0033)	Prec@1 3.906 (4.718)	Prec@5 17.578 (16.145)
Epoch: [26][4810/7045]	Time 0.101 (0.248)	Data 0.001 (0.186)	Loss 5.0085 (5.0032)	Prec@1 6.250 (4.720)	Prec@5 14.453 (16.148)
Epoch: [26][4820/7045]	Time 0.157 (0.248)	Data 0.105 (0.186)	Loss 4.9461 (5.0031)	Prec@1 5.859 (4.721)	Prec@5 16.797 (16.149)
Epoch: [26][4830/7045]	Time 0.101 (0.248)	Data 0.001 (0.186)	Loss 5.0255 (5.0030)	Prec@1 5.469 (4.721)	Prec@5 20.312 (16.152)
Epoch: [26][4840/7045]	Time 0.107 (0.248)	Data 0.001 (0.186)	Loss 5.1154 (5.0031)	Prec@1 3.125 (4.721)	Prec@5 13.281 (16.152)
Epoch: [26][4850/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 4.9685 (5.0030)	Prec@1 3.906 (4.722)	Prec@5 14.453 (16.153)
Epoch: [26][4860/7045]	Time 0.101 (0.248)	Data 0.006 (0.185)	Loss 4.9890 (5.0031)	Prec@1 5.859 (4.722)	Prec@5 16.016 (16.150)
Epoch: [26][4870/7045]	Time 0.305 (0.248)	Data 0.254 (0.185)	Loss 5.0736 (5.0031)	Prec@1 3.906 (4.723)	Prec@5 14.062 (16.148)
Epoch: [26][4880/7045]	Time 0.107 (0.248)	Data 0.005 (0.185)	Loss 5.0241 (5.0032)	Prec@1 5.859 (4.722)	Prec@5 16.797 (16.150)
Epoch: [26][4890/7045]	Time 0.596 (0.248)	Data 0.545 (0.185)	Loss 5.0718 (5.0033)	Prec@1 3.906 (4.722)	Prec@5 10.938 (16.146)
Epoch: [26][4900/7045]	Time 0.100 (0.248)	Data 0.001 (0.185)	Loss 5.0163 (5.0033)	Prec@1 4.688 (4.721)	Prec@5 14.453 (16.144)
Epoch: [26][4910/7045]	Time 0.752 (0.248)	Data 0.693 (0.185)	Loss 4.8384 (5.0032)	Prec@1 5.469 (4.721)	Prec@5 19.141 (16.146)
Epoch: [26][4920/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 4.8252 (5.0031)	Prec@1 7.031 (4.722)	Prec@5 17.969 (16.150)
Epoch: [26][4930/7045]	Time 0.661 (0.248)	Data 0.602 (0.185)	Loss 4.9059 (5.0030)	Prec@1 4.688 (4.722)	Prec@5 19.531 (16.150)
Epoch: [26][4940/7045]	Time 0.145 (0.248)	Data 0.093 (0.185)	Loss 5.0269 (5.0031)	Prec@1 3.906 (4.722)	Prec@5 11.719 (16.149)
Epoch: [26][4950/7045]	Time 0.650 (0.248)	Data 0.590 (0.185)	Loss 5.1672 (5.0032)	Prec@1 2.734 (4.722)	Prec@5 14.062 (16.148)
Epoch: [26][4960/7045]	Time 0.109 (0.248)	Data 0.057 (0.185)	Loss 4.9977 (5.0031)	Prec@1 5.469 (4.724)	Prec@5 16.797 (16.150)
Epoch: [26][4970/7045]	Time 0.376 (0.248)	Data 0.324 (0.185)	Loss 5.0224 (5.0031)	Prec@1 4.688 (4.724)	Prec@5 16.797 (16.150)
Epoch: [26][4980/7045]	Time 0.101 (0.248)	Data 0.012 (0.185)	Loss 4.8483 (5.0031)	Prec@1 6.250 (4.724)	Prec@5 19.141 (16.151)
Epoch: [26][4990/7045]	Time 0.118 (0.248)	Data 0.065 (0.185)	Loss 4.8804 (5.0030)	Prec@1 7.031 (4.725)	Prec@5 18.750 (16.154)
Epoch: [26][5000/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 5.1263 (5.0031)	Prec@1 4.297 (4.725)	Prec@5 14.453 (16.153)
Epoch: [26][5010/7045]	Time 0.139 (0.248)	Data 0.086 (0.185)	Loss 4.8111 (5.0031)	Prec@1 8.203 (4.725)	Prec@5 21.484 (16.153)
Epoch: [26][5020/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 4.8470 (5.0032)	Prec@1 7.422 (4.726)	Prec@5 21.484 (16.155)
Epoch: [26][5030/7045]	Time 0.101 (0.248)	Data 0.043 (0.185)	Loss 5.0769 (5.0033)	Prec@1 3.125 (4.726)	Prec@5 14.453 (16.153)
Epoch: [26][5040/7045]	Time 0.407 (0.248)	Data 0.357 (0.185)	Loss 4.9967 (5.0033)	Prec@1 4.297 (4.726)	Prec@5 18.359 (16.151)
Epoch: [26][5050/7045]	Time 0.100 (0.248)	Data 0.046 (0.185)	Loss 5.0595 (5.0034)	Prec@1 5.469 (4.725)	Prec@5 17.578 (16.152)
Epoch: [26][5060/7045]	Time 0.596 (0.248)	Data 0.544 (0.185)	Loss 5.0938 (5.0035)	Prec@1 3.906 (4.723)	Prec@5 15.234 (16.149)
Epoch: [26][5070/7045]	Time 0.101 (0.248)	Data 0.004 (0.185)	Loss 5.0585 (5.0035)	Prec@1 2.344 (4.722)	Prec@5 16.016 (16.147)
Epoch: [26][5080/7045]	Time 0.677 (0.248)	Data 0.626 (0.185)	Loss 5.0055 (5.0035)	Prec@1 2.734 (4.722)	Prec@5 12.891 (16.147)
Epoch: [26][5090/7045]	Time 0.106 (0.248)	Data 0.001 (0.185)	Loss 4.9932 (5.0035)	Prec@1 4.688 (4.721)	Prec@5 18.359 (16.148)
Epoch: [26][5100/7045]	Time 0.685 (0.248)	Data 0.634 (0.185)	Loss 5.0749 (5.0036)	Prec@1 4.688 (4.721)	Prec@5 13.672 (16.146)
Epoch: [26][5110/7045]	Time 0.119 (0.248)	Data 0.061 (0.185)	Loss 4.9846 (5.0036)	Prec@1 6.641 (4.722)	Prec@5 18.750 (16.144)
Epoch: [26][5120/7045]	Time 0.509 (0.248)	Data 0.457 (0.185)	Loss 4.9648 (5.0036)	Prec@1 3.516 (4.721)	Prec@5 14.062 (16.144)
Epoch: [26][5130/7045]	Time 0.127 (0.248)	Data 0.074 (0.185)	Loss 5.0403 (5.0036)	Prec@1 3.125 (4.721)	Prec@5 12.109 (16.143)
Epoch: [26][5140/7045]	Time 0.508 (0.248)	Data 0.457 (0.185)	Loss 5.0369 (5.0036)	Prec@1 3.125 (4.720)	Prec@5 16.016 (16.143)
Epoch: [26][5150/7045]	Time 0.102 (0.248)	Data 0.006 (0.185)	Loss 5.0956 (5.0036)	Prec@1 3.906 (4.720)	Prec@5 14.062 (16.144)
Epoch: [26][5160/7045]	Time 0.380 (0.248)	Data 0.321 (0.185)	Loss 5.1408 (5.0036)	Prec@1 2.734 (4.719)	Prec@5 15.234 (16.145)
Epoch: [26][5170/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 4.8897 (5.0034)	Prec@1 5.078 (4.720)	Prec@5 19.141 (16.149)
Epoch: [26][5180/7045]	Time 0.285 (0.248)	Data 0.233 (0.185)	Loss 5.0480 (5.0032)	Prec@1 5.859 (4.723)	Prec@5 17.188 (16.154)
Epoch: [26][5190/7045]	Time 0.113 (0.248)	Data 0.062 (0.185)	Loss 4.9949 (5.0031)	Prec@1 3.516 (4.725)	Prec@5 17.188 (16.158)
Epoch: [26][5200/7045]	Time 0.192 (0.248)	Data 0.140 (0.185)	Loss 4.9501 (5.0031)	Prec@1 4.688 (4.725)	Prec@5 17.578 (16.158)
Epoch: [26][5210/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 5.1267 (5.0030)	Prec@1 3.516 (4.725)	Prec@5 15.234 (16.159)
Epoch: [26][5220/7045]	Time 0.103 (0.248)	Data 0.051 (0.185)	Loss 5.0236 (5.0030)	Prec@1 4.688 (4.724)	Prec@5 12.500 (16.160)
Epoch: [26][5230/7045]	Time 0.425 (0.248)	Data 0.373 (0.185)	Loss 4.8029 (5.0028)	Prec@1 6.250 (4.726)	Prec@5 20.312 (16.164)
Epoch: [26][5240/7045]	Time 0.106 (0.248)	Data 0.054 (0.185)	Loss 4.9678 (5.0027)	Prec@1 4.688 (4.726)	Prec@5 17.188 (16.166)
Epoch: [26][5250/7045]	Time 0.393 (0.248)	Data 0.342 (0.185)	Loss 4.9973 (5.0026)	Prec@1 3.516 (4.727)	Prec@5 19.141 (16.170)
Epoch: [26][5260/7045]	Time 0.170 (0.248)	Data 0.119 (0.185)	Loss 4.9723 (5.0026)	Prec@1 4.688 (4.728)	Prec@5 19.141 (16.171)
Epoch: [26][5270/7045]	Time 0.477 (0.248)	Data 0.425 (0.185)	Loss 4.8989 (5.0025)	Prec@1 5.859 (4.730)	Prec@5 20.703 (16.173)
Epoch: [26][5280/7045]	Time 0.108 (0.248)	Data 0.003 (0.185)	Loss 4.9296 (5.0025)	Prec@1 7.031 (4.731)	Prec@5 20.312 (16.175)
Epoch: [26][5290/7045]	Time 0.382 (0.248)	Data 0.331 (0.185)	Loss 4.9466 (5.0025)	Prec@1 4.297 (4.731)	Prec@5 16.406 (16.175)
Epoch: [26][5300/7045]	Time 0.112 (0.248)	Data 0.060 (0.185)	Loss 4.9061 (5.0025)	Prec@1 5.078 (4.731)	Prec@5 18.359 (16.175)
Epoch: [26][5310/7045]	Time 0.324 (0.248)	Data 0.273 (0.185)	Loss 5.0172 (5.0026)	Prec@1 3.906 (4.732)	Prec@5 14.844 (16.176)
Epoch: [26][5320/7045]	Time 0.110 (0.248)	Data 0.057 (0.185)	Loss 4.7297 (5.0025)	Prec@1 5.078 (4.733)	Prec@5 23.828 (16.179)
Epoch: [26][5330/7045]	Time 0.290 (0.248)	Data 0.232 (0.185)	Loss 5.0662 (5.0025)	Prec@1 3.906 (4.733)	Prec@5 13.281 (16.180)
Epoch: [26][5340/7045]	Time 0.110 (0.248)	Data 0.058 (0.185)	Loss 4.8704 (5.0023)	Prec@1 5.469 (4.734)	Prec@5 20.703 (16.184)
Epoch: [26][5350/7045]	Time 0.202 (0.248)	Data 0.142 (0.185)	Loss 4.8682 (5.0022)	Prec@1 6.641 (4.734)	Prec@5 23.047 (16.186)
Epoch: [26][5360/7045]	Time 0.263 (0.248)	Data 0.211 (0.185)	Loss 4.9503 (5.0022)	Prec@1 5.078 (4.735)	Prec@5 15.234 (16.188)
Epoch: [26][5370/7045]	Time 0.179 (0.248)	Data 0.122 (0.185)	Loss 5.0245 (5.0021)	Prec@1 5.469 (4.734)	Prec@5 17.969 (16.186)
Epoch: [26][5380/7045]	Time 0.467 (0.248)	Data 0.416 (0.185)	Loss 4.8744 (5.0021)	Prec@1 5.469 (4.733)	Prec@5 18.359 (16.186)
Epoch: [26][5390/7045]	Time 0.231 (0.248)	Data 0.179 (0.185)	Loss 4.8159 (5.0020)	Prec@1 5.469 (4.734)	Prec@5 17.188 (16.187)
Epoch: [26][5400/7045]	Time 0.306 (0.248)	Data 0.255 (0.185)	Loss 4.9956 (5.0019)	Prec@1 5.078 (4.735)	Prec@5 16.797 (16.188)
Epoch: [26][5410/7045]	Time 0.163 (0.248)	Data 0.112 (0.185)	Loss 4.9411 (5.0019)	Prec@1 5.469 (4.736)	Prec@5 13.281 (16.188)
Epoch: [26][5420/7045]	Time 0.110 (0.248)	Data 0.001 (0.185)	Loss 4.8800 (5.0018)	Prec@1 4.297 (4.736)	Prec@5 19.922 (16.189)
Epoch: [26][5430/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 5.0275 (5.0018)	Prec@1 5.078 (4.736)	Prec@5 17.578 (16.189)
Epoch: [26][5440/7045]	Time 0.172 (0.248)	Data 0.120 (0.185)	Loss 5.1376 (5.0020)	Prec@1 5.859 (4.735)	Prec@5 15.234 (16.187)
Epoch: [26][5450/7045]	Time 0.564 (0.248)	Data 0.512 (0.185)	Loss 5.3280 (5.0022)	Prec@1 1.953 (4.733)	Prec@5 11.719 (16.183)
Epoch: [26][5460/7045]	Time 0.166 (0.248)	Data 0.114 (0.185)	Loss 5.0676 (5.0023)	Prec@1 3.516 (4.732)	Prec@5 16.016 (16.181)
Epoch: [26][5470/7045]	Time 0.270 (0.248)	Data 0.217 (0.185)	Loss 4.9064 (5.0023)	Prec@1 5.469 (4.733)	Prec@5 18.359 (16.181)
Epoch: [26][5480/7045]	Time 0.391 (0.248)	Data 0.341 (0.185)	Loss 5.0170 (5.0023)	Prec@1 5.859 (4.734)	Prec@5 18.359 (16.181)
Epoch: [26][5490/7045]	Time 0.218 (0.248)	Data 0.168 (0.185)	Loss 4.9398 (5.0023)	Prec@1 4.297 (4.735)	Prec@5 16.016 (16.180)
Epoch: [26][5500/7045]	Time 0.186 (0.248)	Data 0.135 (0.185)	Loss 5.0446 (5.0021)	Prec@1 1.953 (4.736)	Prec@5 15.625 (16.182)
Epoch: [26][5510/7045]	Time 0.516 (0.248)	Data 0.464 (0.185)	Loss 4.9887 (5.0021)	Prec@1 3.516 (4.735)	Prec@5 14.453 (16.181)
Epoch: [26][5520/7045]	Time 0.199 (0.248)	Data 0.148 (0.185)	Loss 5.1238 (5.0021)	Prec@1 2.734 (4.734)	Prec@5 12.500 (16.181)
Epoch: [26][5530/7045]	Time 0.449 (0.248)	Data 0.398 (0.185)	Loss 5.0968 (5.0021)	Prec@1 5.078 (4.735)	Prec@5 16.406 (16.181)
Epoch: [26][5540/7045]	Time 0.100 (0.248)	Data 0.001 (0.185)	Loss 4.9631 (5.0021)	Prec@1 3.125 (4.734)	Prec@5 14.844 (16.180)
Epoch: [26][5550/7045]	Time 0.165 (0.248)	Data 0.114 (0.185)	Loss 4.8469 (5.0021)	Prec@1 4.688 (4.735)	Prec@5 19.141 (16.183)
Epoch: [26][5560/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 4.9993 (5.0020)	Prec@1 2.734 (4.733)	Prec@5 16.016 (16.184)
Epoch: [26][5570/7045]	Time 0.230 (0.248)	Data 0.178 (0.185)	Loss 5.0492 (5.0020)	Prec@1 4.688 (4.734)	Prec@5 16.016 (16.184)
Epoch: [26][5580/7045]	Time 0.130 (0.248)	Data 0.077 (0.185)	Loss 5.1827 (5.0021)	Prec@1 4.688 (4.733)	Prec@5 14.453 (16.182)
Epoch: [26][5590/7045]	Time 0.578 (0.248)	Data 0.526 (0.185)	Loss 4.9804 (5.0021)	Prec@1 4.688 (4.733)	Prec@5 14.844 (16.181)
Epoch: [26][5600/7045]	Time 0.327 (0.248)	Data 0.275 (0.185)	Loss 5.1206 (5.0020)	Prec@1 5.078 (4.734)	Prec@5 13.281 (16.183)
Epoch: [26][5610/7045]	Time 0.360 (0.248)	Data 0.307 (0.185)	Loss 5.0486 (5.0019)	Prec@1 4.297 (4.733)	Prec@5 15.234 (16.185)
Epoch: [26][5620/7045]	Time 0.344 (0.248)	Data 0.293 (0.185)	Loss 5.0428 (5.0020)	Prec@1 4.688 (4.735)	Prec@5 15.234 (16.184)
Epoch: [26][5630/7045]	Time 0.206 (0.248)	Data 0.155 (0.185)	Loss 4.9543 (5.0018)	Prec@1 5.469 (4.736)	Prec@5 15.234 (16.187)
Epoch: [26][5640/7045]	Time 0.334 (0.248)	Data 0.283 (0.185)	Loss 5.0035 (5.0018)	Prec@1 3.516 (4.736)	Prec@5 19.531 (16.189)
Epoch: [26][5650/7045]	Time 0.211 (0.248)	Data 0.154 (0.185)	Loss 4.7877 (5.0015)	Prec@1 3.516 (4.736)	Prec@5 23.047 (16.193)
Epoch: [26][5660/7045]	Time 0.320 (0.248)	Data 0.269 (0.185)	Loss 4.8363 (5.0013)	Prec@1 10.938 (4.738)	Prec@5 22.266 (16.197)
Epoch: [26][5670/7045]	Time 0.118 (0.248)	Data 0.060 (0.185)	Loss 4.8750 (5.0012)	Prec@1 6.250 (4.738)	Prec@5 19.141 (16.198)
Epoch: [26][5680/7045]	Time 0.267 (0.248)	Data 0.215 (0.185)	Loss 4.8462 (5.0011)	Prec@1 7.422 (4.739)	Prec@5 19.531 (16.201)
Epoch: [26][5690/7045]	Time 0.107 (0.248)	Data 0.045 (0.185)	Loss 4.9352 (5.0011)	Prec@1 8.594 (4.740)	Prec@5 18.750 (16.202)
Epoch: [26][5700/7045]	Time 0.246 (0.248)	Data 0.194 (0.185)	Loss 4.9884 (5.0011)	Prec@1 5.078 (4.740)	Prec@5 16.016 (16.203)
Epoch: [26][5710/7045]	Time 0.253 (0.248)	Data 0.203 (0.185)	Loss 5.0445 (5.0011)	Prec@1 5.078 (4.739)	Prec@5 14.062 (16.201)
Epoch: [26][5720/7045]	Time 0.371 (0.248)	Data 0.319 (0.185)	Loss 5.0554 (5.0010)	Prec@1 3.516 (4.740)	Prec@5 16.797 (16.201)
Epoch: [26][5730/7045]	Time 0.171 (0.248)	Data 0.114 (0.185)	Loss 5.0053 (5.0010)	Prec@1 6.250 (4.741)	Prec@5 17.188 (16.202)
Epoch: [26][5740/7045]	Time 0.261 (0.248)	Data 0.210 (0.185)	Loss 5.0264 (5.0011)	Prec@1 3.125 (4.740)	Prec@5 16.797 (16.201)
Epoch: [26][5750/7045]	Time 0.101 (0.248)	Data 0.003 (0.186)	Loss 4.9526 (5.0010)	Prec@1 3.906 (4.741)	Prec@5 16.406 (16.201)
Epoch: [26][5760/7045]	Time 0.243 (0.248)	Data 0.192 (0.185)	Loss 4.9597 (5.0009)	Prec@1 4.297 (4.741)	Prec@5 17.188 (16.205)
Epoch: [26][5770/7045]	Time 0.109 (0.248)	Data 0.046 (0.185)	Loss 5.1133 (5.0009)	Prec@1 3.516 (4.740)	Prec@5 12.891 (16.203)
Epoch: [26][5780/7045]	Time 0.232 (0.248)	Data 0.180 (0.185)	Loss 5.0599 (5.0009)	Prec@1 5.078 (4.739)	Prec@5 15.234 (16.204)
Epoch: [26][5790/7045]	Time 0.285 (0.248)	Data 0.232 (0.186)	Loss 5.1444 (5.0009)	Prec@1 3.125 (4.740)	Prec@5 12.500 (16.205)
Epoch: [26][5800/7045]	Time 0.101 (0.248)	Data 0.009 (0.186)	Loss 5.0202 (5.0009)	Prec@1 5.859 (4.740)	Prec@5 14.453 (16.205)
Epoch: [26][5810/7045]	Time 0.172 (0.248)	Data 0.120 (0.186)	Loss 4.8818 (5.0008)	Prec@1 5.469 (4.741)	Prec@5 16.406 (16.206)
Epoch: [26][5820/7045]	Time 0.165 (0.248)	Data 0.116 (0.186)	Loss 4.9581 (5.0007)	Prec@1 2.734 (4.742)	Prec@5 14.844 (16.209)
Epoch: [26][5830/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 5.0441 (5.0006)	Prec@1 4.297 (4.742)	Prec@5 16.016 (16.211)
Epoch: [26][5840/7045]	Time 0.421 (0.248)	Data 0.362 (0.186)	Loss 4.9287 (5.0007)	Prec@1 3.906 (4.742)	Prec@5 18.359 (16.211)
Epoch: [26][5850/7045]	Time 0.378 (0.248)	Data 0.317 (0.186)	Loss 5.1154 (5.0006)	Prec@1 3.906 (4.743)	Prec@5 11.719 (16.210)
Epoch: [26][5860/7045]	Time 0.164 (0.248)	Data 0.113 (0.186)	Loss 4.8950 (5.0007)	Prec@1 7.031 (4.743)	Prec@5 19.922 (16.210)
Epoch: [26][5870/7045]	Time 0.521 (0.248)	Data 0.464 (0.186)	Loss 5.1577 (5.0008)	Prec@1 5.469 (4.743)	Prec@5 15.625 (16.210)
Epoch: [26][5880/7045]	Time 0.113 (0.248)	Data 0.062 (0.186)	Loss 4.8528 (5.0007)	Prec@1 6.641 (4.743)	Prec@5 20.312 (16.211)
Epoch: [26][5890/7045]	Time 0.308 (0.248)	Data 0.257 (0.186)	Loss 5.0524 (5.0007)	Prec@1 4.688 (4.744)	Prec@5 14.453 (16.212)
Epoch: [26][5900/7045]	Time 0.105 (0.248)	Data 0.053 (0.186)	Loss 4.9946 (5.0007)	Prec@1 3.906 (4.744)	Prec@5 14.062 (16.211)
Epoch: [26][5910/7045]	Time 0.238 (0.248)	Data 0.186 (0.186)	Loss 5.0414 (5.0007)	Prec@1 5.859 (4.745)	Prec@5 15.625 (16.210)
Epoch: [26][5920/7045]	Time 0.462 (0.248)	Data 0.411 (0.186)	Loss 4.8861 (5.0007)	Prec@1 6.250 (4.746)	Prec@5 18.750 (16.211)
Epoch: [26][5930/7045]	Time 0.112 (0.248)	Data 0.060 (0.186)	Loss 5.2011 (5.0008)	Prec@1 3.516 (4.745)	Prec@5 11.719 (16.209)
Epoch: [26][5940/7045]	Time 0.599 (0.248)	Data 0.548 (0.186)	Loss 4.9739 (5.0009)	Prec@1 3.125 (4.744)	Prec@5 18.359 (16.208)
Epoch: [26][5950/7045]	Time 0.107 (0.248)	Data 0.048 (0.186)	Loss 4.8562 (5.0008)	Prec@1 6.250 (4.746)	Prec@5 17.578 (16.208)
Epoch: [26][5960/7045]	Time 0.519 (0.248)	Data 0.466 (0.186)	Loss 5.0229 (5.0007)	Prec@1 3.125 (4.746)	Prec@5 17.188 (16.209)
Epoch: [26][5970/7045]	Time 0.102 (0.248)	Data 0.005 (0.186)	Loss 5.1482 (5.0007)	Prec@1 3.906 (4.747)	Prec@5 16.016 (16.208)
Epoch: [26][5980/7045]	Time 0.486 (0.248)	Data 0.435 (0.186)	Loss 4.9945 (5.0008)	Prec@1 5.469 (4.746)	Prec@5 15.625 (16.207)
Epoch: [26][5990/7045]	Time 0.102 (0.248)	Data 0.050 (0.185)	Loss 4.9762 (5.0007)	Prec@1 4.688 (4.747)	Prec@5 14.453 (16.207)
Epoch: [26][6000/7045]	Time 0.503 (0.248)	Data 0.452 (0.185)	Loss 5.0204 (5.0007)	Prec@1 4.688 (4.748)	Prec@5 16.016 (16.209)
Epoch: [26][6010/7045]	Time 0.109 (0.248)	Data 0.009 (0.185)	Loss 4.9200 (5.0007)	Prec@1 7.031 (4.748)	Prec@5 17.578 (16.208)
Epoch: [26][6020/7045]	Time 0.452 (0.248)	Data 0.402 (0.185)	Loss 4.9913 (5.0007)	Prec@1 6.641 (4.749)	Prec@5 16.016 (16.206)
Epoch: [26][6030/7045]	Time 0.108 (0.248)	Data 0.006 (0.185)	Loss 4.8733 (5.0007)	Prec@1 6.250 (4.750)	Prec@5 20.312 (16.207)
Epoch: [26][6040/7045]	Time 0.612 (0.248)	Data 0.560 (0.185)	Loss 5.1400 (5.0007)	Prec@1 1.562 (4.749)	Prec@5 10.547 (16.207)
Epoch: [26][6050/7045]	Time 0.149 (0.248)	Data 0.090 (0.185)	Loss 4.9321 (5.0008)	Prec@1 3.906 (4.749)	Prec@5 15.234 (16.206)
Epoch: [26][6060/7045]	Time 0.594 (0.248)	Data 0.543 (0.185)	Loss 5.0995 (5.0008)	Prec@1 5.469 (4.748)	Prec@5 15.625 (16.206)
Epoch: [26][6070/7045]	Time 0.132 (0.248)	Data 0.072 (0.185)	Loss 4.9757 (5.0008)	Prec@1 4.688 (4.748)	Prec@5 18.359 (16.206)
Epoch: [26][6080/7045]	Time 0.558 (0.248)	Data 0.506 (0.185)	Loss 5.1385 (5.0008)	Prec@1 4.688 (4.749)	Prec@5 13.672 (16.205)
Epoch: [26][6090/7045]	Time 0.101 (0.248)	Data 0.046 (0.185)	Loss 4.7983 (5.0007)	Prec@1 5.859 (4.749)	Prec@5 18.359 (16.206)
Epoch: [26][6100/7045]	Time 0.510 (0.248)	Data 0.459 (0.185)	Loss 4.9315 (5.0008)	Prec@1 7.422 (4.750)	Prec@5 18.359 (16.207)
Epoch: [26][6110/7045]	Time 0.103 (0.248)	Data 0.051 (0.185)	Loss 4.8547 (5.0007)	Prec@1 8.594 (4.750)	Prec@5 17.969 (16.207)
Epoch: [26][6120/7045]	Time 0.408 (0.248)	Data 0.358 (0.185)	Loss 5.0204 (5.0009)	Prec@1 4.297 (4.749)	Prec@5 17.578 (16.205)
Epoch: [26][6130/7045]	Time 0.103 (0.248)	Data 0.051 (0.185)	Loss 5.0145 (5.0009)	Prec@1 5.078 (4.749)	Prec@5 18.750 (16.206)
Epoch: [26][6140/7045]	Time 0.432 (0.248)	Data 0.373 (0.185)	Loss 4.9850 (5.0009)	Prec@1 5.469 (4.750)	Prec@5 17.969 (16.207)
Epoch: [26][6150/7045]	Time 0.102 (0.248)	Data 0.002 (0.185)	Loss 5.0103 (5.0008)	Prec@1 4.297 (4.751)	Prec@5 17.969 (16.209)
Epoch: [26][6160/7045]	Time 0.442 (0.248)	Data 0.390 (0.185)	Loss 4.9610 (5.0008)	Prec@1 5.078 (4.752)	Prec@5 11.328 (16.209)
Epoch: [26][6170/7045]	Time 0.219 (0.248)	Data 0.168 (0.185)	Loss 4.9512 (5.0007)	Prec@1 4.297 (4.753)	Prec@5 17.578 (16.211)
Epoch: [26][6180/7045]	Time 0.105 (0.248)	Data 0.053 (0.185)	Loss 4.8775 (5.0007)	Prec@1 4.688 (4.754)	Prec@5 15.625 (16.212)
Epoch: [26][6190/7045]	Time 0.368 (0.248)	Data 0.317 (0.185)	Loss 4.8221 (5.0007)	Prec@1 5.859 (4.754)	Prec@5 18.359 (16.212)
Epoch: [26][6200/7045]	Time 0.306 (0.248)	Data 0.255 (0.185)	Loss 4.9283 (5.0006)	Prec@1 5.469 (4.753)	Prec@5 20.703 (16.213)
Epoch: [26][6210/7045]	Time 0.348 (0.248)	Data 0.297 (0.185)	Loss 4.8445 (5.0006)	Prec@1 5.859 (4.753)	Prec@5 19.531 (16.214)
Epoch: [26][6220/7045]	Time 0.259 (0.248)	Data 0.207 (0.185)	Loss 5.0730 (5.0007)	Prec@1 1.953 (4.752)	Prec@5 15.234 (16.215)
Epoch: [26][6230/7045]	Time 0.252 (0.248)	Data 0.200 (0.186)	Loss 5.2260 (5.0009)	Prec@1 3.906 (4.751)	Prec@5 13.672 (16.210)
Epoch: [26][6240/7045]	Time 0.101 (0.248)	Data 0.005 (0.185)	Loss 5.0380 (5.0010)	Prec@1 2.734 (4.750)	Prec@5 18.750 (16.210)
Epoch: [26][6250/7045]	Time 0.225 (0.248)	Data 0.175 (0.186)	Loss 4.9172 (5.0012)	Prec@1 3.906 (4.748)	Prec@5 16.016 (16.207)
Epoch: [26][6260/7045]	Time 0.670 (0.248)	Data 0.619 (0.186)	Loss 5.0124 (5.0012)	Prec@1 4.688 (4.748)	Prec@5 16.016 (16.208)
Epoch: [26][6270/7045]	Time 0.109 (0.248)	Data 0.005 (0.186)	Loss 5.0276 (5.0012)	Prec@1 3.906 (4.748)	Prec@5 19.922 (16.207)
Epoch: [26][6280/7045]	Time 0.334 (0.248)	Data 0.282 (0.186)	Loss 4.9591 (5.0012)	Prec@1 4.688 (4.748)	Prec@5 16.016 (16.206)
Epoch: [26][6290/7045]	Time 0.149 (0.248)	Data 0.098 (0.186)	Loss 5.0338 (5.0012)	Prec@1 6.641 (4.749)	Prec@5 18.359 (16.208)
Epoch: [26][6300/7045]	Time 0.101 (0.248)	Data 0.006 (0.186)	Loss 4.8950 (5.0012)	Prec@1 4.297 (4.749)	Prec@5 17.188 (16.207)
Epoch: [26][6310/7045]	Time 0.137 (0.248)	Data 0.086 (0.186)	Loss 5.2760 (5.0012)	Prec@1 3.125 (4.749)	Prec@5 11.328 (16.207)
Epoch: [26][6320/7045]	Time 0.141 (0.248)	Data 0.089 (0.186)	Loss 5.0970 (5.0012)	Prec@1 5.469 (4.749)	Prec@5 17.188 (16.206)
Epoch: [26][6330/7045]	Time 0.272 (0.248)	Data 0.220 (0.186)	Loss 5.1079 (5.0012)	Prec@1 6.641 (4.750)	Prec@5 15.234 (16.206)
Epoch: [26][6340/7045]	Time 0.112 (0.248)	Data 0.061 (0.186)	Loss 4.9182 (5.0012)	Prec@1 4.688 (4.750)	Prec@5 18.750 (16.207)
Epoch: [26][6350/7045]	Time 0.586 (0.248)	Data 0.533 (0.186)	Loss 4.9740 (5.0011)	Prec@1 5.469 (4.750)	Prec@5 16.016 (16.207)
Epoch: [26][6360/7045]	Time 0.237 (0.248)	Data 0.180 (0.186)	Loss 4.9640 (5.0011)	Prec@1 4.688 (4.749)	Prec@5 12.891 (16.206)
Epoch: [26][6370/7045]	Time 0.288 (0.248)	Data 0.237 (0.186)	Loss 4.8431 (5.0010)	Prec@1 3.516 (4.749)	Prec@5 23.047 (16.208)
Epoch: [26][6380/7045]	Time 0.458 (0.248)	Data 0.407 (0.186)	Loss 5.0596 (5.0010)	Prec@1 1.953 (4.749)	Prec@5 15.234 (16.209)
Epoch: [26][6390/7045]	Time 0.253 (0.248)	Data 0.203 (0.186)	Loss 4.9672 (5.0010)	Prec@1 3.516 (4.748)	Prec@5 11.328 (16.208)
Epoch: [26][6400/7045]	Time 0.675 (0.248)	Data 0.623 (0.186)	Loss 5.0108 (5.0010)	Prec@1 4.688 (4.748)	Prec@5 15.625 (16.209)
Epoch: [26][6410/7045]	Time 0.155 (0.248)	Data 0.104 (0.186)	Loss 5.0476 (5.0010)	Prec@1 3.906 (4.748)	Prec@5 14.453 (16.209)
Epoch: [26][6420/7045]	Time 0.665 (0.248)	Data 0.613 (0.186)	Loss 5.0390 (5.0011)	Prec@1 3.906 (4.747)	Prec@5 12.891 (16.207)
Epoch: [26][6430/7045]	Time 0.100 (0.248)	Data 0.001 (0.186)	Loss 5.0345 (5.0011)	Prec@1 3.516 (4.747)	Prec@5 16.406 (16.206)
Epoch: [26][6440/7045]	Time 0.571 (0.248)	Data 0.520 (0.186)	Loss 4.9469 (5.0011)	Prec@1 6.641 (4.747)	Prec@5 20.312 (16.206)
Epoch: [26][6450/7045]	Time 0.109 (0.248)	Data 0.015 (0.186)	Loss 5.0243 (5.0011)	Prec@1 3.516 (4.747)	Prec@5 17.188 (16.206)
Epoch: [26][6460/7045]	Time 0.461 (0.248)	Data 0.408 (0.186)	Loss 4.9943 (5.0011)	Prec@1 4.688 (4.748)	Prec@5 14.453 (16.206)
Epoch: [26][6470/7045]	Time 0.102 (0.248)	Data 0.006 (0.186)	Loss 4.8393 (5.0010)	Prec@1 4.297 (4.749)	Prec@5 19.141 (16.207)
Epoch: [26][6480/7045]	Time 0.367 (0.248)	Data 0.315 (0.186)	Loss 4.8933 (5.0010)	Prec@1 7.031 (4.750)	Prec@5 18.750 (16.207)
Epoch: [26][6490/7045]	Time 0.101 (0.248)	Data 0.004 (0.186)	Loss 5.0360 (5.0009)	Prec@1 3.906 (4.750)	Prec@5 12.891 (16.208)
Epoch: [26][6500/7045]	Time 0.294 (0.248)	Data 0.235 (0.186)	Loss 5.0852 (5.0009)	Prec@1 6.250 (4.749)	Prec@5 16.016 (16.209)
Epoch: [26][6510/7045]	Time 0.100 (0.248)	Data 0.001 (0.186)	Loss 5.0785 (5.0009)	Prec@1 5.078 (4.750)	Prec@5 14.844 (16.209)
Epoch: [26][6520/7045]	Time 0.132 (0.248)	Data 0.081 (0.186)	Loss 5.0312 (5.0009)	Prec@1 5.078 (4.751)	Prec@5 14.844 (16.208)
Epoch: [26][6530/7045]	Time 0.217 (0.248)	Data 0.166 (0.186)	Loss 4.8488 (5.0009)	Prec@1 6.641 (4.750)	Prec@5 20.312 (16.208)
Epoch: [26][6540/7045]	Time 0.138 (0.248)	Data 0.086 (0.186)	Loss 4.8384 (5.0008)	Prec@1 6.641 (4.751)	Prec@5 20.703 (16.211)
Epoch: [26][6550/7045]	Time 0.604 (0.248)	Data 0.553 (0.186)	Loss 5.1159 (5.0007)	Prec@1 4.688 (4.751)	Prec@5 15.625 (16.211)
Epoch: [26][6560/7045]	Time 0.102 (0.248)	Data 0.005 (0.186)	Loss 5.0447 (5.0006)	Prec@1 4.688 (4.751)	Prec@5 14.844 (16.213)
Epoch: [26][6570/7045]	Time 0.847 (0.248)	Data 0.796 (0.186)	Loss 5.0254 (5.0006)	Prec@1 4.688 (4.751)	Prec@5 18.359 (16.213)
Epoch: [26][6580/7045]	Time 0.101 (0.248)	Data 0.001 (0.186)	Loss 4.8876 (5.0005)	Prec@1 4.297 (4.751)	Prec@5 18.359 (16.214)
Epoch: [26][6590/7045]	Time 0.601 (0.248)	Data 0.550 (0.186)	Loss 5.0578 (5.0006)	Prec@1 3.516 (4.751)	Prec@5 12.891 (16.214)
Epoch: [26][6600/7045]	Time 0.109 (0.248)	Data 0.043 (0.186)	Loss 4.9605 (5.0006)	Prec@1 5.078 (4.750)	Prec@5 16.797 (16.213)
Epoch: [26][6610/7045]	Time 0.636 (0.248)	Data 0.585 (0.186)	Loss 5.0339 (5.0006)	Prec@1 4.297 (4.751)	Prec@5 13.672 (16.213)
Epoch: [26][6620/7045]	Time 0.101 (0.248)	Data 0.045 (0.186)	Loss 4.9538 (5.0005)	Prec@1 5.469 (4.750)	Prec@5 21.094 (16.213)
Epoch: [26][6630/7045]	Time 0.668 (0.248)	Data 0.616 (0.186)	Loss 4.8634 (5.0005)	Prec@1 4.688 (4.750)	Prec@5 16.016 (16.214)
Epoch: [26][6640/7045]	Time 0.187 (0.248)	Data 0.131 (0.186)	Loss 4.9450 (5.0005)	Prec@1 5.469 (4.750)	Prec@5 18.359 (16.214)
Epoch: [26][6650/7045]	Time 0.621 (0.248)	Data 0.569 (0.186)	Loss 4.8593 (5.0005)	Prec@1 5.859 (4.752)	Prec@5 18.750 (16.215)
Epoch: [26][6660/7045]	Time 0.102 (0.248)	Data 0.004 (0.186)	Loss 4.9616 (5.0006)	Prec@1 3.125 (4.752)	Prec@5 14.844 (16.213)
Epoch: [26][6670/7045]	Time 0.371 (0.248)	Data 0.312 (0.186)	Loss 5.2395 (5.0007)	Prec@1 3.516 (4.750)	Prec@5 14.062 (16.211)
Epoch: [26][6680/7045]	Time 0.102 (0.248)	Data 0.010 (0.185)	Loss 5.0592 (5.0007)	Prec@1 5.078 (4.750)	Prec@5 16.797 (16.211)
Epoch: [26][6690/7045]	Time 0.131 (0.248)	Data 0.073 (0.186)	Loss 5.0058 (5.0007)	Prec@1 3.516 (4.751)	Prec@5 15.234 (16.210)
Epoch: [26][6700/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 5.0443 (5.0008)	Prec@1 4.297 (4.751)	Prec@5 14.844 (16.210)
Epoch: [26][6710/7045]	Time 0.101 (0.248)	Data 0.048 (0.186)	Loss 4.8758 (5.0007)	Prec@1 5.859 (4.751)	Prec@5 18.359 (16.212)
Epoch: [26][6720/7045]	Time 0.333 (0.248)	Data 0.281 (0.185)	Loss 4.8601 (5.0006)	Prec@1 4.688 (4.752)	Prec@5 17.969 (16.214)
Epoch: [26][6730/7045]	Time 0.125 (0.248)	Data 0.073 (0.185)	Loss 4.8877 (5.0005)	Prec@1 5.469 (4.752)	Prec@5 17.969 (16.215)
Epoch: [26][6740/7045]	Time 0.674 (0.248)	Data 0.615 (0.185)	Loss 4.9645 (5.0006)	Prec@1 4.297 (4.751)	Prec@5 16.797 (16.213)
Epoch: [26][6750/7045]	Time 0.107 (0.248)	Data 0.049 (0.185)	Loss 4.9790 (5.0005)	Prec@1 2.734 (4.753)	Prec@5 16.016 (16.215)
Epoch: [26][6760/7045]	Time 0.521 (0.248)	Data 0.471 (0.185)	Loss 4.8984 (5.0004)	Prec@1 4.688 (4.754)	Prec@5 17.969 (16.217)
Epoch: [26][6770/7045]	Time 0.102 (0.248)	Data 0.002 (0.185)	Loss 5.1801 (5.0005)	Prec@1 3.516 (4.753)	Prec@5 13.672 (16.219)
Epoch: [26][6780/7045]	Time 0.496 (0.248)	Data 0.446 (0.185)	Loss 5.0236 (5.0005)	Prec@1 3.516 (4.753)	Prec@5 12.109 (16.218)
Epoch: [26][6790/7045]	Time 0.103 (0.248)	Data 0.051 (0.185)	Loss 4.9430 (5.0005)	Prec@1 6.250 (4.753)	Prec@5 18.359 (16.219)
Epoch: [26][6800/7045]	Time 0.445 (0.248)	Data 0.393 (0.185)	Loss 5.0787 (5.0005)	Prec@1 3.906 (4.752)	Prec@5 13.672 (16.219)
Epoch: [26][6810/7045]	Time 0.108 (0.248)	Data 0.011 (0.185)	Loss 5.0114 (5.0005)	Prec@1 3.906 (4.752)	Prec@5 15.234 (16.219)
Epoch: [26][6820/7045]	Time 0.586 (0.248)	Data 0.532 (0.185)	Loss 5.0417 (5.0004)	Prec@1 5.859 (4.753)	Prec@5 18.750 (16.221)
Epoch: [26][6830/7045]	Time 0.105 (0.248)	Data 0.053 (0.185)	Loss 5.0301 (5.0004)	Prec@1 5.469 (4.754)	Prec@5 11.719 (16.221)
Epoch: [26][6840/7045]	Time 0.696 (0.248)	Data 0.636 (0.185)	Loss 4.9903 (5.0004)	Prec@1 7.422 (4.753)	Prec@5 19.531 (16.222)
Epoch: [26][6850/7045]	Time 0.099 (0.248)	Data 0.001 (0.185)	Loss 4.9369 (5.0003)	Prec@1 4.688 (4.753)	Prec@5 14.844 (16.222)
Epoch: [26][6860/7045]	Time 0.621 (0.248)	Data 0.571 (0.185)	Loss 4.9930 (5.0003)	Prec@1 3.125 (4.753)	Prec@5 12.109 (16.222)
Epoch: [26][6870/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 4.9981 (5.0002)	Prec@1 5.859 (4.753)	Prec@5 17.578 (16.225)
Epoch: [26][6880/7045]	Time 0.218 (0.248)	Data 0.161 (0.185)	Loss 4.9427 (5.0002)	Prec@1 5.859 (4.753)	Prec@5 17.578 (16.225)
Epoch: [26][6890/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 4.9733 (5.0002)	Prec@1 3.516 (4.753)	Prec@5 14.844 (16.225)
Epoch: [26][6900/7045]	Time 0.208 (0.248)	Data 0.157 (0.185)	Loss 5.0066 (5.0001)	Prec@1 3.906 (4.754)	Prec@5 13.672 (16.226)
Epoch: [26][6910/7045]	Time 0.257 (0.248)	Data 0.205 (0.185)	Loss 5.0959 (5.0002)	Prec@1 2.344 (4.754)	Prec@5 13.281 (16.224)
Epoch: [26][6920/7045]	Time 0.306 (0.248)	Data 0.255 (0.185)	Loss 5.0353 (5.0002)	Prec@1 4.688 (4.754)	Prec@5 17.188 (16.226)
Epoch: [26][6930/7045]	Time 0.625 (0.248)	Data 0.574 (0.185)	Loss 4.8958 (5.0002)	Prec@1 3.906 (4.754)	Prec@5 19.922 (16.227)
Epoch: [26][6940/7045]	Time 0.106 (0.248)	Data 0.001 (0.185)	Loss 4.8694 (5.0001)	Prec@1 8.203 (4.754)	Prec@5 19.922 (16.227)
Epoch: [26][6950/7045]	Time 0.504 (0.248)	Data 0.452 (0.185)	Loss 5.0942 (5.0001)	Prec@1 2.734 (4.754)	Prec@5 12.109 (16.226)
Epoch: [26][6960/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 5.0141 (5.0002)	Prec@1 5.469 (4.754)	Prec@5 14.844 (16.225)
Epoch: [26][6970/7045]	Time 0.170 (0.248)	Data 0.113 (0.185)	Loss 5.0828 (5.0002)	Prec@1 2.344 (4.754)	Prec@5 12.891 (16.223)
Epoch: [26][6980/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 5.0030 (5.0002)	Prec@1 3.516 (4.753)	Prec@5 14.062 (16.222)
Epoch: [26][6990/7045]	Time 0.106 (0.248)	Data 0.052 (0.185)	Loss 4.9686 (5.0002)	Prec@1 4.688 (4.753)	Prec@5 15.625 (16.222)
Epoch: [26][7000/7045]	Time 0.104 (0.248)	Data 0.051 (0.185)	Loss 5.1139 (5.0001)	Prec@1 4.688 (4.753)	Prec@5 14.844 (16.222)
Epoch: [26][7010/7045]	Time 0.325 (0.248)	Data 0.274 (0.185)	Loss 4.9069 (5.0001)	Prec@1 5.078 (4.754)	Prec@5 16.797 (16.223)
Epoch: [26][7020/7045]	Time 0.100 (0.248)	Data 0.003 (0.185)	Loss 4.8524 (5.0001)	Prec@1 5.859 (4.753)	Prec@5 18.750 (16.223)
Epoch: [26][7030/7045]	Time 0.278 (0.248)	Data 0.229 (0.185)	Loss 4.8658 (5.0000)	Prec@1 3.906 (4.754)	Prec@5 19.141 (16.225)
Epoch: [26][7040/7045]	Time 0.109 (0.248)	Data 0.050 (0.185)	Loss 4.8892 (4.9999)	Prec@1 4.688 (4.753)	Prec@5 18.750 (16.227)
Test: [0/143]	Time 1.186 (1.186)	Loss 4.5744 (4.5744)	Prec@1 11.328 (11.328)	Prec@5 31.641 (31.641)
Test: [10/143]	Time 0.059 (0.244)	Loss 4.9067 (4.8760)	Prec@1 0.000 (5.007)	Prec@5 16.016 (19.354)
Test: [20/143]	Time 0.275 (0.218)	Loss 5.1667 (4.8132)	Prec@1 1.562 (5.766)	Prec@5 8.984 (21.243)
Test: [30/143]	Time 0.099 (0.204)	Loss 5.1350 (4.8491)	Prec@1 0.781 (5.570)	Prec@5 5.469 (19.985)
Test: [40/143]	Time 0.047 (0.203)	Loss 4.9230 (4.8679)	Prec@1 0.000 (5.745)	Prec@5 7.031 (19.627)
Test: [50/143]	Time 0.198 (0.195)	Loss 4.8018 (4.8563)	Prec@1 4.688 (5.400)	Prec@5 31.641 (19.485)
Test: [60/143]	Time 0.056 (0.193)	Loss 5.1519 (4.8437)	Prec@1 4.688 (5.635)	Prec@5 16.797 (19.954)
Test: [70/143]	Time 0.438 (0.195)	Loss 4.6675 (4.8426)	Prec@1 6.250 (5.749)	Prec@5 21.094 (20.015)
Test: [80/143]	Time 0.059 (0.190)	Loss 4.6760 (4.8397)	Prec@1 9.375 (5.985)	Prec@5 19.922 (20.173)
Test: [90/143]	Time 0.048 (0.192)	Loss 4.6120 (4.8442)	Prec@1 8.594 (6.108)	Prec@5 27.734 (20.248)
Test: [100/143]	Time 0.230 (0.189)	Loss 4.8290 (4.8411)	Prec@1 3.125 (6.119)	Prec@5 19.922 (20.336)
Test: [110/143]	Time 0.117 (0.188)	Loss 4.7724 (4.8402)	Prec@1 9.766 (6.222)	Prec@5 23.047 (20.432)
Test: [120/143]	Time 0.215 (0.187)	Loss 4.8762 (4.8341)	Prec@1 5.078 (6.457)	Prec@5 11.328 (20.571)
Test: [130/143]	Time 0.106 (0.187)	Loss 4.5829 (4.8365)	Prec@1 13.281 (6.435)	Prec@5 26.562 (20.578)
Test: [140/143]	Time 0.334 (0.188)	Loss 5.0631 (4.8472)	Prec@1 0.000 (6.250)	Prec@5 4.297 (20.099)
 * Prec@1 6.290 Prec@5 20.173
Epoch: [27][0/7045]	Time 2.618 (2.618)	Data 2.561 (2.561)	Loss 4.9178 (4.9178)	Prec@1 5.078 (5.078)	Prec@5 15.234 (15.234)
Epoch: [27][10/7045]	Time 0.216 (0.426)	Data 0.166 (0.358)	Loss 4.8303 (4.9664)	Prec@1 8.203 (5.291)	Prec@5 19.531 (16.832)
Epoch: [27][20/7045]	Time 0.110 (0.353)	Data 0.001 (0.288)	Loss 5.0591 (4.9464)	Prec@1 3.906 (5.301)	Prec@5 14.453 (16.908)
Epoch: [27][30/7045]	Time 0.304 (0.328)	Data 0.254 (0.263)	Loss 4.8687 (4.9361)	Prec@1 5.078 (5.444)	Prec@5 18.359 (17.188)
Epoch: [27][40/7045]	Time 0.576 (0.319)	Data 0.525 (0.255)	Loss 4.7917 (4.9250)	Prec@1 7.422 (5.421)	Prec@5 18.359 (17.388)
Epoch: [27][50/7045]	Time 0.114 (0.306)	Data 0.064 (0.243)	Loss 4.8711 (4.9345)	Prec@1 5.859 (5.392)	Prec@5 19.141 (17.210)
Epoch: [27][60/7045]	Time 0.101 (0.296)	Data 0.001 (0.232)	Loss 5.0958 (4.9433)	Prec@1 3.906 (5.289)	Prec@5 12.109 (16.989)
Epoch: [27][70/7045]	Time 0.214 (0.292)	Data 0.162 (0.230)	Loss 4.7409 (4.9455)	Prec@1 5.859 (5.243)	Prec@5 20.312 (16.890)
Epoch: [27][80/7045]	Time 0.119 (0.291)	Data 0.068 (0.228)	Loss 4.9940 (4.9524)	Prec@1 1.562 (5.165)	Prec@5 12.109 (16.802)
Epoch: [27][90/7045]	Time 0.105 (0.285)	Data 0.054 (0.220)	Loss 5.1449 (4.9576)	Prec@1 4.688 (5.155)	Prec@5 14.844 (16.805)
Epoch: [27][100/7045]	Time 0.356 (0.286)	Data 0.305 (0.221)	Loss 4.9882 (4.9661)	Prec@1 6.641 (5.055)	Prec@5 18.359 (16.638)
Epoch: [27][110/7045]	Time 0.603 (0.287)	Data 0.551 (0.222)	Loss 4.8999 (4.9659)	Prec@1 5.859 (5.032)	Prec@5 17.578 (16.698)
Epoch: [27][120/7045]	Time 0.101 (0.285)	Data 0.001 (0.220)	Loss 4.8646 (4.9622)	Prec@1 4.688 (5.039)	Prec@5 17.188 (16.758)
Epoch: [27][130/7045]	Time 0.124 (0.282)	Data 0.072 (0.218)	Loss 5.1363 (4.9667)	Prec@1 4.688 (5.045)	Prec@5 12.109 (16.731)
Epoch: [27][140/7045]	Time 0.521 (0.283)	Data 0.468 (0.219)	Loss 4.9337 (4.9734)	Prec@1 7.422 (5.006)	Prec@5 14.844 (16.589)
Epoch: [27][150/7045]	Time 0.099 (0.281)	Data 0.047 (0.217)	Loss 5.0357 (4.9786)	Prec@1 3.516 (4.931)	Prec@5 15.234 (16.430)
Epoch: [27][160/7045]	Time 0.345 (0.280)	Data 0.294 (0.216)	Loss 4.7539 (4.9732)	Prec@1 7.422 (4.952)	Prec@5 17.188 (16.537)
Epoch: [27][170/7045]	Time 0.111 (0.279)	Data 0.001 (0.214)	Loss 5.0755 (4.9738)	Prec@1 5.469 (4.946)	Prec@5 16.406 (16.509)
Epoch: [27][180/7045]	Time 0.151 (0.277)	Data 0.099 (0.213)	Loss 4.9459 (4.9755)	Prec@1 2.344 (4.929)	Prec@5 18.750 (16.471)
Epoch: [27][190/7045]	Time 0.405 (0.278)	Data 0.353 (0.214)	Loss 4.9815 (4.9733)	Prec@1 5.469 (4.955)	Prec@5 17.188 (16.568)
Epoch: [27][200/7045]	Time 0.109 (0.276)	Data 0.002 (0.212)	Loss 4.9327 (4.9733)	Prec@1 4.688 (4.991)	Prec@5 16.016 (16.604)
Epoch: [27][210/7045]	Time 0.103 (0.275)	Data 0.007 (0.210)	Loss 4.9271 (4.9710)	Prec@1 4.297 (4.982)	Prec@5 16.797 (16.638)
Epoch: [27][220/7045]	Time 0.238 (0.275)	Data 0.187 (0.211)	Loss 4.7988 (4.9694)	Prec@1 8.594 (4.992)	Prec@5 22.266 (16.714)
Epoch: [27][230/7045]	Time 0.101 (0.275)	Data 0.001 (0.211)	Loss 4.9679 (4.9699)	Prec@1 5.078 (4.999)	Prec@5 19.922 (16.716)
Epoch: [27][240/7045]	Time 0.657 (0.275)	Data 0.604 (0.211)	Loss 5.0514 (4.9705)	Prec@1 1.562 (4.971)	Prec@5 11.328 (16.692)
Epoch: [27][250/7045]	Time 0.101 (0.272)	Data 0.017 (0.208)	Loss 5.0198 (4.9703)	Prec@1 6.250 (4.975)	Prec@5 17.969 (16.707)
Epoch: [27][260/7045]	Time 0.100 (0.272)	Data 0.001 (0.208)	Loss 5.0290 (4.9707)	Prec@1 4.297 (4.982)	Prec@5 13.281 (16.694)
Epoch: [27][270/7045]	Time 0.556 (0.272)	Data 0.504 (0.207)	Loss 4.8864 (4.9707)	Prec@1 5.469 (4.986)	Prec@5 17.188 (16.697)
Epoch: [27][280/7045]	Time 0.101 (0.270)	Data 0.007 (0.206)	Loss 4.9936 (4.9718)	Prec@1 3.516 (5.006)	Prec@5 16.016 (16.708)
Epoch: [27][290/7045]	Time 0.219 (0.270)	Data 0.167 (0.206)	Loss 5.0399 (4.9727)	Prec@1 2.734 (5.007)	Prec@5 16.406 (16.710)
Epoch: [27][300/7045]	Time 0.677 (0.270)	Data 0.618 (0.206)	Loss 4.9356 (4.9729)	Prec@1 5.859 (4.998)	Prec@5 15.234 (16.702)
Epoch: [27][310/7045]	Time 0.103 (0.269)	Data 0.001 (0.204)	Loss 5.0153 (4.9715)	Prec@1 5.469 (5.009)	Prec@5 19.922 (16.719)
Epoch: [27][320/7045]	Time 0.108 (0.269)	Data 0.005 (0.204)	Loss 4.9189 (4.9711)	Prec@1 7.812 (5.014)	Prec@5 19.141 (16.712)
Epoch: [27][330/7045]	Time 0.386 (0.269)	Data 0.334 (0.204)	Loss 5.0593 (4.9716)	Prec@1 6.250 (5.018)	Prec@5 14.844 (16.684)
Epoch: [27][340/7045]	Time 0.317 (0.268)	Data 0.267 (0.204)	Loss 4.8886 (4.9710)	Prec@1 5.469 (5.005)	Prec@5 19.141 (16.677)
Epoch: [27][350/7045]	Time 0.333 (0.268)	Data 0.281 (0.203)	Loss 4.8198 (4.9692)	Prec@1 4.688 (5.016)	Prec@5 17.188 (16.700)
Epoch: [27][360/7045]	Time 0.109 (0.267)	Data 0.057 (0.203)	Loss 5.0390 (4.9674)	Prec@1 2.344 (5.023)	Prec@5 12.500 (16.727)
Epoch: [27][370/7045]	Time 0.107 (0.267)	Data 0.001 (0.203)	Loss 4.9548 (4.9673)	Prec@1 5.859 (5.013)	Prec@5 16.797 (16.738)
Epoch: [27][380/7045]	Time 0.656 (0.267)	Data 0.598 (0.203)	Loss 4.9670 (4.9659)	Prec@1 9.375 (5.016)	Prec@5 19.141 (16.789)
Epoch: [27][390/7045]	Time 0.102 (0.266)	Data 0.001 (0.202)	Loss 4.8610 (4.9644)	Prec@1 4.297 (5.018)	Prec@5 18.750 (16.822)
Epoch: [27][400/7045]	Time 0.154 (0.266)	Data 0.103 (0.202)	Loss 5.0400 (4.9649)	Prec@1 4.688 (5.024)	Prec@5 16.406 (16.831)
Epoch: [27][410/7045]	Time 0.798 (0.267)	Data 0.748 (0.202)	Loss 4.9398 (4.9648)	Prec@1 4.688 (5.026)	Prec@5 16.406 (16.839)
Epoch: [27][420/7045]	Time 0.298 (0.265)	Data 0.247 (0.201)	Loss 5.0806 (4.9660)	Prec@1 3.125 (5.019)	Prec@5 16.406 (16.827)
Epoch: [27][430/7045]	Time 0.113 (0.265)	Data 0.061 (0.201)	Loss 4.9731 (4.9667)	Prec@1 4.688 (5.023)	Prec@5 15.625 (16.808)
Epoch: [27][440/7045]	Time 0.769 (0.266)	Data 0.718 (0.201)	Loss 5.0177 (4.9672)	Prec@1 3.516 (5.007)	Prec@5 18.750 (16.794)
Epoch: [27][450/7045]	Time 0.146 (0.265)	Data 0.095 (0.200)	Loss 4.8350 (4.9675)	Prec@1 7.422 (5.010)	Prec@5 22.266 (16.808)
Epoch: [27][460/7045]	Time 0.109 (0.264)	Data 0.001 (0.200)	Loss 4.9784 (4.9680)	Prec@1 5.469 (5.004)	Prec@5 18.750 (16.821)
Epoch: [27][470/7045]	Time 0.424 (0.265)	Data 0.374 (0.200)	Loss 4.9940 (4.9673)	Prec@1 5.859 (5.006)	Prec@5 19.531 (16.845)
Epoch: [27][480/7045]	Time 0.616 (0.265)	Data 0.565 (0.200)	Loss 4.9430 (4.9675)	Prec@1 4.688 (5.007)	Prec@5 17.969 (16.836)
Epoch: [27][490/7045]	Time 0.102 (0.264)	Data 0.001 (0.200)	Loss 4.9668 (4.9679)	Prec@1 5.859 (5.022)	Prec@5 17.969 (16.834)
Epoch: [27][500/7045]	Time 0.526 (0.264)	Data 0.475 (0.200)	Loss 5.1101 (4.9686)	Prec@1 5.859 (5.019)	Prec@5 15.234 (16.808)
Epoch: [27][510/7045]	Time 0.291 (0.264)	Data 0.241 (0.199)	Loss 5.1468 (4.9687)	Prec@1 5.078 (5.025)	Prec@5 12.500 (16.799)
Epoch: [27][520/7045]	Time 0.101 (0.263)	Data 0.011 (0.199)	Loss 4.8150 (4.9690)	Prec@1 5.469 (5.017)	Prec@5 22.656 (16.786)
Epoch: [27][530/7045]	Time 0.380 (0.264)	Data 0.330 (0.199)	Loss 4.8837 (4.9681)	Prec@1 7.031 (5.031)	Prec@5 22.266 (16.809)
Epoch: [27][540/7045]	Time 0.374 (0.263)	Data 0.324 (0.199)	Loss 4.8863 (4.9681)	Prec@1 5.469 (5.012)	Prec@5 17.969 (16.806)
Epoch: [27][550/7045]	Time 0.107 (0.263)	Data 0.001 (0.198)	Loss 5.0693 (4.9701)	Prec@1 3.906 (4.998)	Prec@5 10.938 (16.754)
Epoch: [27][560/7045]	Time 0.475 (0.263)	Data 0.424 (0.198)	Loss 4.7934 (4.9713)	Prec@1 6.641 (4.992)	Prec@5 20.703 (16.743)
Epoch: [27][570/7045]	Time 0.676 (0.263)	Data 0.626 (0.199)	Loss 5.0214 (4.9718)	Prec@1 4.688 (4.987)	Prec@5 13.281 (16.733)
Epoch: [27][580/7045]	Time 0.110 (0.263)	Data 0.058 (0.198)	Loss 4.8560 (4.9725)	Prec@1 5.469 (4.983)	Prec@5 19.531 (16.717)
Epoch: [27][590/7045]	Time 0.103 (0.263)	Data 0.048 (0.198)	Loss 5.0123 (4.9736)	Prec@1 6.250 (4.982)	Prec@5 16.016 (16.695)
Epoch: [27][600/7045]	Time 0.764 (0.263)	Data 0.714 (0.198)	Loss 4.9956 (4.9738)	Prec@1 4.297 (4.979)	Prec@5 17.578 (16.700)
Epoch: [27][610/7045]	Time 0.106 (0.262)	Data 0.054 (0.197)	Loss 5.1218 (4.9746)	Prec@1 4.688 (4.969)	Prec@5 14.453 (16.686)
Epoch: [27][620/7045]	Time 0.111 (0.262)	Data 0.001 (0.198)	Loss 5.0356 (4.9754)	Prec@1 4.688 (4.966)	Prec@5 17.578 (16.682)
Epoch: [27][630/7045]	Time 0.624 (0.263)	Data 0.573 (0.198)	Loss 5.1616 (4.9764)	Prec@1 4.688 (4.956)	Prec@5 13.672 (16.657)
Epoch: [27][640/7045]	Time 0.101 (0.262)	Data 0.002 (0.197)	Loss 4.9593 (4.9766)	Prec@1 5.859 (4.958)	Prec@5 19.141 (16.648)
Epoch: [27][650/7045]	Time 0.108 (0.262)	Data 0.001 (0.197)	Loss 4.9062 (4.9767)	Prec@1 5.469 (4.964)	Prec@5 19.922 (16.669)
Epoch: [27][660/7045]	Time 0.102 (0.261)	Data 0.001 (0.197)	Loss 5.0061 (4.9770)	Prec@1 1.562 (4.957)	Prec@5 10.938 (16.655)
Epoch: [27][670/7045]	Time 0.199 (0.261)	Data 0.148 (0.197)	Loss 4.9390 (4.9767)	Prec@1 7.422 (4.959)	Prec@5 21.484 (16.675)
Epoch: [27][680/7045]	Time 0.108 (0.262)	Data 0.001 (0.197)	Loss 4.9482 (4.9762)	Prec@1 5.859 (4.971)	Prec@5 19.531 (16.694)
Epoch: [27][690/7045]	Time 0.185 (0.261)	Data 0.134 (0.196)	Loss 5.0895 (4.9762)	Prec@1 2.734 (4.974)	Prec@5 13.281 (16.691)
Epoch: [27][700/7045]	Time 0.203 (0.261)	Data 0.153 (0.196)	Loss 4.9911 (4.9767)	Prec@1 5.469 (4.972)	Prec@5 17.969 (16.677)
Epoch: [27][710/7045]	Time 0.510 (0.261)	Data 0.459 (0.196)	Loss 4.8868 (4.9766)	Prec@1 2.344 (4.965)	Prec@5 16.406 (16.674)
Epoch: [27][720/7045]	Time 0.388 (0.261)	Data 0.337 (0.196)	Loss 4.8374 (4.9762)	Prec@1 2.734 (4.964)	Prec@5 16.797 (16.670)
Epoch: [27][730/7045]	Time 0.249 (0.261)	Data 0.198 (0.196)	Loss 5.0343 (4.9764)	Prec@1 5.078 (4.954)	Prec@5 17.969 (16.675)
Epoch: [27][740/7045]	Time 0.247 (0.261)	Data 0.196 (0.196)	Loss 4.9622 (4.9770)	Prec@1 6.250 (4.952)	Prec@5 19.922 (16.680)
Epoch: [27][750/7045]	Time 0.102 (0.260)	Data 0.001 (0.196)	Loss 5.0001 (4.9775)	Prec@1 5.078 (4.945)	Prec@5 15.625 (16.671)
Epoch: [27][760/7045]	Time 0.149 (0.260)	Data 0.098 (0.196)	Loss 4.9970 (4.9780)	Prec@1 5.859 (4.945)	Prec@5 14.062 (16.672)
Epoch: [27][770/7045]	Time 0.362 (0.261)	Data 0.310 (0.196)	Loss 5.1851 (4.9793)	Prec@1 3.516 (4.949)	Prec@5 14.062 (16.662)
Epoch: [27][780/7045]	Time 0.186 (0.260)	Data 0.136 (0.196)	Loss 5.0466 (4.9801)	Prec@1 3.516 (4.941)	Prec@5 14.062 (16.645)
Epoch: [27][790/7045]	Time 0.105 (0.260)	Data 0.052 (0.196)	Loss 5.0274 (4.9804)	Prec@1 5.859 (4.932)	Prec@5 15.234 (16.631)
Epoch: [27][800/7045]	Time 0.585 (0.260)	Data 0.533 (0.196)	Loss 5.0618 (4.9805)	Prec@1 4.688 (4.926)	Prec@5 18.359 (16.614)
Epoch: [27][810/7045]	Time 0.167 (0.260)	Data 0.114 (0.195)	Loss 5.0739 (4.9809)	Prec@1 3.906 (4.921)	Prec@5 13.281 (16.604)
Epoch: [27][820/7045]	Time 0.149 (0.260)	Data 0.098 (0.195)	Loss 4.9408 (4.9807)	Prec@1 7.031 (4.919)	Prec@5 17.188 (16.603)
Epoch: [27][830/7045]	Time 0.686 (0.260)	Data 0.635 (0.196)	Loss 4.8997 (4.9806)	Prec@1 6.641 (4.925)	Prec@5 18.750 (16.601)
Epoch: [27][840/7045]	Time 0.108 (0.259)	Data 0.001 (0.195)	Loss 5.0193 (4.9801)	Prec@1 4.688 (4.918)	Prec@5 16.016 (16.587)
Epoch: [27][850/7045]	Time 0.268 (0.259)	Data 0.217 (0.195)	Loss 4.9891 (4.9798)	Prec@1 4.297 (4.916)	Prec@5 16.406 (16.595)
Epoch: [27][860/7045]	Time 0.168 (0.259)	Data 0.116 (0.195)	Loss 4.9276 (4.9791)	Prec@1 5.078 (4.920)	Prec@5 16.797 (16.612)
Epoch: [27][870/7045]	Time 0.125 (0.259)	Data 0.073 (0.195)	Loss 4.9283 (4.9790)	Prec@1 5.859 (4.920)	Prec@5 17.969 (16.611)
Epoch: [27][880/7045]	Time 0.235 (0.259)	Data 0.184 (0.195)	Loss 5.1076 (4.9798)	Prec@1 3.516 (4.911)	Prec@5 13.672 (16.599)
Epoch: [27][890/7045]	Time 0.102 (0.259)	Data 0.001 (0.194)	Loss 5.0903 (4.9802)	Prec@1 6.250 (4.919)	Prec@5 14.453 (16.602)
Epoch: [27][900/7045]	Time 0.165 (0.259)	Data 0.114 (0.195)	Loss 4.9667 (4.9808)	Prec@1 3.906 (4.907)	Prec@5 14.844 (16.588)
Epoch: [27][910/7045]	Time 0.438 (0.259)	Data 0.387 (0.195)	Loss 4.9490 (4.9815)	Prec@1 5.078 (4.900)	Prec@5 17.188 (16.571)
Epoch: [27][920/7045]	Time 0.101 (0.259)	Data 0.001 (0.194)	Loss 4.9938 (4.9813)	Prec@1 5.859 (4.901)	Prec@5 17.969 (16.567)
Epoch: [27][930/7045]	Time 0.657 (0.259)	Data 0.595 (0.194)	Loss 4.9405 (4.9814)	Prec@1 5.859 (4.900)	Prec@5 18.750 (16.570)
Epoch: [27][940/7045]	Time 0.175 (0.258)	Data 0.124 (0.194)	Loss 5.0873 (4.9821)	Prec@1 2.344 (4.896)	Prec@5 12.500 (16.562)
Epoch: [27][950/7045]	Time 0.224 (0.258)	Data 0.167 (0.194)	Loss 4.9560 (4.9830)	Prec@1 5.859 (4.893)	Prec@5 16.797 (16.547)
Epoch: [27][960/7045]	Time 0.115 (0.258)	Data 0.062 (0.194)	Loss 5.0360 (4.9838)	Prec@1 3.516 (4.889)	Prec@5 17.969 (16.541)
Epoch: [27][970/7045]	Time 0.126 (0.258)	Data 0.075 (0.194)	Loss 4.9355 (4.9836)	Prec@1 3.125 (4.890)	Prec@5 21.094 (16.560)
Epoch: [27][980/7045]	Time 0.101 (0.258)	Data 0.001 (0.193)	Loss 5.0336 (4.9839)	Prec@1 7.031 (4.893)	Prec@5 17.578 (16.558)
Epoch: [27][990/7045]	Time 0.393 (0.258)	Data 0.341 (0.193)	Loss 4.9906 (4.9843)	Prec@1 5.469 (4.889)	Prec@5 17.578 (16.543)
Epoch: [27][1000/7045]	Time 0.109 (0.258)	Data 0.016 (0.193)	Loss 5.0409 (4.9851)	Prec@1 5.078 (4.886)	Prec@5 18.750 (16.534)
Epoch: [27][1010/7045]	Time 0.161 (0.258)	Data 0.111 (0.193)	Loss 5.0251 (4.9853)	Prec@1 4.297 (4.885)	Prec@5 14.062 (16.539)
Epoch: [27][1020/7045]	Time 0.101 (0.258)	Data 0.001 (0.193)	Loss 5.0772 (4.9853)	Prec@1 2.344 (4.877)	Prec@5 14.453 (16.538)
Epoch: [27][1030/7045]	Time 0.341 (0.257)	Data 0.290 (0.193)	Loss 5.0698 (4.9862)	Prec@1 6.250 (4.869)	Prec@5 16.406 (16.519)
Epoch: [27][1040/7045]	Time 0.100 (0.257)	Data 0.003 (0.193)	Loss 5.0233 (4.9866)	Prec@1 5.859 (4.868)	Prec@5 14.844 (16.514)
Epoch: [27][1050/7045]	Time 0.520 (0.257)	Data 0.469 (0.193)	Loss 4.9825 (4.9868)	Prec@1 5.469 (4.868)	Prec@5 17.969 (16.515)
Epoch: [27][1060/7045]	Time 0.150 (0.257)	Data 0.098 (0.193)	Loss 5.0428 (4.9868)	Prec@1 5.078 (4.860)	Prec@5 15.625 (16.513)
Epoch: [27][1070/7045]	Time 0.708 (0.257)	Data 0.656 (0.193)	Loss 5.0546 (4.9869)	Prec@1 4.688 (4.861)	Prec@5 13.672 (16.510)
Epoch: [27][1080/7045]	Time 0.101 (0.257)	Data 0.006 (0.192)	Loss 5.0300 (4.9867)	Prec@1 5.859 (4.862)	Prec@5 18.750 (16.516)
Epoch: [27][1090/7045]	Time 0.473 (0.257)	Data 0.421 (0.193)	Loss 4.8472 (4.9868)	Prec@1 7.422 (4.867)	Prec@5 20.703 (16.519)
Epoch: [27][1100/7045]	Time 0.103 (0.257)	Data 0.002 (0.192)	Loss 4.9676 (4.9866)	Prec@1 4.688 (4.868)	Prec@5 17.188 (16.517)
Epoch: [27][1110/7045]	Time 0.184 (0.257)	Data 0.131 (0.192)	Loss 4.9622 (4.9865)	Prec@1 3.516 (4.866)	Prec@5 15.625 (16.521)
Epoch: [27][1120/7045]	Time 0.172 (0.257)	Data 0.121 (0.192)	Loss 4.8492 (4.9861)	Prec@1 7.031 (4.871)	Prec@5 17.969 (16.526)
Epoch: [27][1130/7045]	Time 0.101 (0.256)	Data 0.048 (0.192)	Loss 4.8874 (4.9857)	Prec@1 5.469 (4.874)	Prec@5 16.406 (16.523)
Epoch: [27][1140/7045]	Time 0.395 (0.257)	Data 0.344 (0.192)	Loss 4.9821 (4.9858)	Prec@1 3.516 (4.872)	Prec@5 15.625 (16.523)
Epoch: [27][1150/7045]	Time 0.136 (0.256)	Data 0.086 (0.192)	Loss 5.0638 (4.9868)	Prec@1 3.125 (4.861)	Prec@5 11.719 (16.501)
Epoch: [27][1160/7045]	Time 0.108 (0.257)	Data 0.008 (0.192)	Loss 5.0057 (4.9875)	Prec@1 5.469 (4.858)	Prec@5 15.234 (16.486)
Epoch: [27][1170/7045]	Time 0.101 (0.256)	Data 0.001 (0.192)	Loss 5.1606 (4.9882)	Prec@1 3.125 (4.854)	Prec@5 11.719 (16.473)
Epoch: [27][1180/7045]	Time 0.174 (0.256)	Data 0.122 (0.192)	Loss 4.9547 (4.9886)	Prec@1 3.125 (4.849)	Prec@5 13.672 (16.458)
Epoch: [27][1190/7045]	Time 0.301 (0.256)	Data 0.250 (0.192)	Loss 5.0874 (4.9890)	Prec@1 3.516 (4.841)	Prec@5 16.406 (16.442)
Epoch: [27][1200/7045]	Time 0.160 (0.256)	Data 0.109 (0.192)	Loss 4.9853 (4.9894)	Prec@1 5.078 (4.840)	Prec@5 17.969 (16.437)
Epoch: [27][1210/7045]	Time 0.332 (0.256)	Data 0.273 (0.192)	Loss 4.9894 (4.9894)	Prec@1 3.125 (4.843)	Prec@5 14.062 (16.440)
Epoch: [27][1220/7045]	Time 0.101 (0.256)	Data 0.001 (0.192)	Loss 5.0413 (4.9900)	Prec@1 5.078 (4.836)	Prec@5 16.797 (16.423)
Epoch: [27][1230/7045]	Time 0.170 (0.256)	Data 0.118 (0.192)	Loss 4.9413 (4.9902)	Prec@1 5.078 (4.834)	Prec@5 19.922 (16.420)
Epoch: [27][1240/7045]	Time 0.171 (0.256)	Data 0.119 (0.192)	Loss 5.0746 (4.9904)	Prec@1 2.734 (4.832)	Prec@5 13.281 (16.419)
Epoch: [27][1250/7045]	Time 0.186 (0.256)	Data 0.134 (0.192)	Loss 4.9370 (4.9903)	Prec@1 4.297 (4.830)	Prec@5 12.500 (16.422)
Epoch: [27][1260/7045]	Time 0.628 (0.256)	Data 0.570 (0.192)	Loss 5.0022 (4.9901)	Prec@1 4.297 (4.829)	Prec@5 16.016 (16.429)
Epoch: [27][1270/7045]	Time 0.101 (0.256)	Data 0.003 (0.192)	Loss 5.0478 (4.9899)	Prec@1 3.516 (4.833)	Prec@5 14.844 (16.436)
Epoch: [27][1280/7045]	Time 0.358 (0.256)	Data 0.306 (0.192)	Loss 5.0407 (4.9898)	Prec@1 5.078 (4.841)	Prec@5 15.234 (16.443)
Epoch: [27][1290/7045]	Time 0.543 (0.256)	Data 0.483 (0.192)	Loss 4.9663 (4.9900)	Prec@1 4.297 (4.839)	Prec@5 16.016 (16.443)
Epoch: [27][1300/7045]	Time 0.122 (0.255)	Data 0.065 (0.192)	Loss 4.9284 (4.9898)	Prec@1 7.422 (4.841)	Prec@5 21.875 (16.446)
Epoch: [27][1310/7045]	Time 0.800 (0.256)	Data 0.749 (0.192)	Loss 5.0967 (4.9897)	Prec@1 2.344 (4.835)	Prec@5 12.109 (16.445)
Epoch: [27][1320/7045]	Time 0.112 (0.255)	Data 0.060 (0.192)	Loss 5.1177 (4.9897)	Prec@1 3.906 (4.833)	Prec@5 15.234 (16.441)
Epoch: [27][1330/7045]	Time 0.512 (0.255)	Data 0.462 (0.191)	Loss 4.8266 (4.9898)	Prec@1 7.812 (4.837)	Prec@5 18.750 (16.441)
Epoch: [27][1340/7045]	Time 0.215 (0.255)	Data 0.163 (0.191)	Loss 4.9128 (4.9900)	Prec@1 7.031 (4.838)	Prec@5 18.750 (16.441)
Epoch: [27][1350/7045]	Time 0.168 (0.255)	Data 0.116 (0.191)	Loss 4.8756 (4.9895)	Prec@1 3.906 (4.837)	Prec@5 19.531 (16.442)
Epoch: [27][1360/7045]	Time 0.504 (0.255)	Data 0.452 (0.191)	Loss 4.9195 (4.9893)	Prec@1 3.516 (4.836)	Prec@5 15.625 (16.448)
Epoch: [27][1370/7045]	Time 0.212 (0.255)	Data 0.161 (0.191)	Loss 4.9367 (4.9888)	Prec@1 1.953 (4.836)	Prec@5 14.844 (16.463)
Epoch: [27][1380/7045]	Time 0.622 (0.255)	Data 0.571 (0.191)	Loss 5.0563 (4.9883)	Prec@1 3.906 (4.835)	Prec@5 14.062 (16.470)
Epoch: [27][1390/7045]	Time 0.120 (0.255)	Data 0.070 (0.191)	Loss 5.1132 (4.9882)	Prec@1 3.125 (4.833)	Prec@5 11.328 (16.465)
Epoch: [27][1400/7045]	Time 0.216 (0.255)	Data 0.165 (0.191)	Loss 4.9890 (4.9882)	Prec@1 5.469 (4.839)	Prec@5 15.625 (16.466)
Epoch: [27][1410/7045]	Time 0.128 (0.255)	Data 0.077 (0.191)	Loss 5.0978 (4.9884)	Prec@1 6.250 (4.835)	Prec@5 12.891 (16.461)
Epoch: [27][1420/7045]	Time 0.109 (0.255)	Data 0.001 (0.191)	Loss 4.9542 (4.9885)	Prec@1 5.469 (4.836)	Prec@5 19.141 (16.459)
Epoch: [27][1430/7045]	Time 0.436 (0.255)	Data 0.385 (0.191)	Loss 5.0783 (4.9889)	Prec@1 5.859 (4.831)	Prec@5 16.406 (16.456)
Epoch: [27][1440/7045]	Time 0.279 (0.255)	Data 0.228 (0.191)	Loss 5.0069 (4.9885)	Prec@1 5.859 (4.833)	Prec@5 17.188 (16.461)
Epoch: [27][1450/7045]	Time 0.108 (0.255)	Data 0.001 (0.191)	Loss 4.9064 (4.9882)	Prec@1 5.469 (4.831)	Prec@5 18.359 (16.469)
Epoch: [27][1460/7045]	Time 0.101 (0.255)	Data 0.001 (0.191)	Loss 4.9692 (4.9880)	Prec@1 3.906 (4.830)	Prec@5 15.625 (16.470)
Epoch: [27][1470/7045]	Time 0.355 (0.255)	Data 0.298 (0.191)	Loss 5.0494 (4.9878)	Prec@1 5.078 (4.828)	Prec@5 14.062 (16.468)
Epoch: [27][1480/7045]	Time 0.372 (0.255)	Data 0.321 (0.191)	Loss 4.9985 (4.9877)	Prec@1 4.688 (4.829)	Prec@5 16.406 (16.470)
Epoch: [27][1490/7045]	Time 0.115 (0.254)	Data 0.063 (0.191)	Loss 5.0213 (4.9878)	Prec@1 3.906 (4.825)	Prec@5 15.234 (16.467)
Epoch: [27][1500/7045]	Time 0.404 (0.255)	Data 0.353 (0.191)	Loss 5.0217 (4.9878)	Prec@1 4.688 (4.825)	Prec@5 16.797 (16.465)
Epoch: [27][1510/7045]	Time 0.287 (0.254)	Data 0.227 (0.191)	Loss 4.8756 (4.9879)	Prec@1 5.859 (4.825)	Prec@5 17.188 (16.456)
Epoch: [27][1520/7045]	Time 0.164 (0.254)	Data 0.112 (0.191)	Loss 4.9743 (4.9881)	Prec@1 3.906 (4.825)	Prec@5 14.062 (16.447)
Epoch: [27][1530/7045]	Time 0.506 (0.254)	Data 0.454 (0.191)	Loss 5.1040 (4.9881)	Prec@1 2.734 (4.831)	Prec@5 16.406 (16.450)
Epoch: [27][1540/7045]	Time 0.101 (0.254)	Data 0.001 (0.191)	Loss 4.9109 (4.9882)	Prec@1 6.641 (4.833)	Prec@5 19.531 (16.451)
Epoch: [27][1550/7045]	Time 0.578 (0.254)	Data 0.528 (0.191)	Loss 5.0454 (4.9884)	Prec@1 2.734 (4.833)	Prec@5 12.109 (16.448)
Epoch: [27][1560/7045]	Time 0.217 (0.254)	Data 0.167 (0.191)	Loss 4.9571 (4.9884)	Prec@1 6.641 (4.831)	Prec@5 15.234 (16.444)
Epoch: [27][1570/7045]	Time 0.489 (0.254)	Data 0.429 (0.191)	Loss 5.0032 (4.9887)	Prec@1 4.297 (4.831)	Prec@5 14.844 (16.440)
Epoch: [27][1580/7045]	Time 0.270 (0.254)	Data 0.213 (0.190)	Loss 5.0147 (4.9891)	Prec@1 5.859 (4.828)	Prec@5 16.016 (16.436)
Epoch: [27][1590/7045]	Time 0.541 (0.254)	Data 0.488 (0.190)	Loss 5.0523 (4.9894)	Prec@1 4.688 (4.825)	Prec@5 19.141 (16.437)
Epoch: [27][1600/7045]	Time 0.331 (0.254)	Data 0.274 (0.190)	Loss 4.7810 (4.9892)	Prec@1 7.422 (4.824)	Prec@5 21.094 (16.441)
Epoch: [27][1610/7045]	Time 0.267 (0.254)	Data 0.216 (0.190)	Loss 5.0354 (4.9891)	Prec@1 4.297 (4.820)	Prec@5 15.234 (16.437)
Epoch: [27][1620/7045]	Time 0.364 (0.254)	Data 0.313 (0.190)	Loss 4.9392 (4.9892)	Prec@1 7.422 (4.822)	Prec@5 18.359 (16.433)
Epoch: [27][1630/7045]	Time 0.153 (0.254)	Data 0.100 (0.190)	Loss 5.0242 (4.9892)	Prec@1 5.859 (4.822)	Prec@5 16.406 (16.429)
Epoch: [27][1640/7045]	Time 0.374 (0.254)	Data 0.322 (0.190)	Loss 5.0927 (4.9890)	Prec@1 5.078 (4.826)	Prec@5 12.891 (16.433)
Epoch: [27][1650/7045]	Time 0.101 (0.254)	Data 0.001 (0.190)	Loss 4.9854 (4.9890)	Prec@1 4.297 (4.820)	Prec@5 16.016 (16.429)
Epoch: [27][1660/7045]	Time 0.522 (0.254)	Data 0.470 (0.190)	Loss 4.9141 (4.9887)	Prec@1 3.906 (4.821)	Prec@5 17.188 (16.438)
Epoch: [27][1670/7045]	Time 0.117 (0.254)	Data 0.067 (0.190)	Loss 5.2066 (4.9888)	Prec@1 2.734 (4.819)	Prec@5 14.453 (16.431)
Epoch: [27][1680/7045]	Time 0.221 (0.254)	Data 0.169 (0.190)	Loss 5.2337 (4.9893)	Prec@1 1.953 (4.820)	Prec@5 10.547 (16.426)
Epoch: [27][1690/7045]	Time 0.117 (0.254)	Data 0.066 (0.190)	Loss 5.1153 (4.9898)	Prec@1 4.297 (4.818)	Prec@5 13.281 (16.418)
Epoch: [27][1700/7045]	Time 0.102 (0.254)	Data 0.048 (0.190)	Loss 4.9781 (4.9901)	Prec@1 7.031 (4.818)	Prec@5 17.969 (16.414)
Epoch: [27][1710/7045]	Time 0.300 (0.254)	Data 0.248 (0.190)	Loss 4.9578 (4.9899)	Prec@1 4.688 (4.821)	Prec@5 14.062 (16.415)
Epoch: [27][1720/7045]	Time 0.102 (0.254)	Data 0.001 (0.190)	Loss 4.9397 (4.9897)	Prec@1 5.078 (4.824)	Prec@5 17.188 (16.423)
Epoch: [27][1730/7045]	Time 0.595 (0.254)	Data 0.535 (0.190)	Loss 4.8977 (4.9893)	Prec@1 6.250 (4.829)	Prec@5 18.359 (16.432)
Epoch: [27][1740/7045]	Time 0.105 (0.253)	Data 0.052 (0.190)	Loss 4.9257 (4.9890)	Prec@1 2.734 (4.828)	Prec@5 13.672 (16.439)
Epoch: [27][1750/7045]	Time 0.277 (0.254)	Data 0.225 (0.190)	Loss 5.0796 (4.9890)	Prec@1 3.906 (4.829)	Prec@5 15.625 (16.443)
Epoch: [27][1760/7045]	Time 0.103 (0.253)	Data 0.001 (0.190)	Loss 4.9388 (4.9890)	Prec@1 3.516 (4.825)	Prec@5 14.844 (16.440)
Epoch: [27][1770/7045]	Time 0.164 (0.253)	Data 0.113 (0.190)	Loss 4.9131 (4.9888)	Prec@1 4.688 (4.822)	Prec@5 14.844 (16.441)
Epoch: [27][1780/7045]	Time 0.584 (0.253)	Data 0.533 (0.190)	Loss 4.9571 (4.9887)	Prec@1 3.906 (4.819)	Prec@5 16.016 (16.440)
Epoch: [27][1790/7045]	Time 0.098 (0.253)	Data 0.001 (0.190)	Loss 4.9969 (4.9888)	Prec@1 3.125 (4.817)	Prec@5 15.625 (16.440)
Epoch: [27][1800/7045]	Time 0.643 (0.253)	Data 0.592 (0.190)	Loss 4.9709 (4.9891)	Prec@1 5.859 (4.817)	Prec@5 19.141 (16.437)
Epoch: [27][1810/7045]	Time 0.183 (0.253)	Data 0.132 (0.189)	Loss 5.0778 (4.9892)	Prec@1 4.297 (4.813)	Prec@5 12.891 (16.435)
Epoch: [27][1820/7045]	Time 0.223 (0.253)	Data 0.171 (0.189)	Loss 5.1586 (4.9897)	Prec@1 3.906 (4.808)	Prec@5 13.281 (16.421)
Epoch: [27][1830/7045]	Time 0.186 (0.253)	Data 0.134 (0.189)	Loss 4.9826 (4.9905)	Prec@1 7.422 (4.803)	Prec@5 17.188 (16.409)
Epoch: [27][1840/7045]	Time 0.113 (0.253)	Data 0.062 (0.189)	Loss 5.2847 (4.9910)	Prec@1 2.344 (4.799)	Prec@5 12.109 (16.397)
Epoch: [27][1850/7045]	Time 0.101 (0.253)	Data 0.010 (0.189)	Loss 5.0510 (4.9913)	Prec@1 3.906 (4.798)	Prec@5 14.844 (16.393)
Epoch: [27][1860/7045]	Time 0.134 (0.253)	Data 0.083 (0.189)	Loss 5.0449 (4.9918)	Prec@1 3.516 (4.798)	Prec@5 15.625 (16.385)
Epoch: [27][1870/7045]	Time 0.501 (0.253)	Data 0.443 (0.189)	Loss 5.1262 (4.9919)	Prec@1 4.297 (4.798)	Prec@5 14.844 (16.386)
Epoch: [27][1880/7045]	Time 0.140 (0.253)	Data 0.090 (0.189)	Loss 4.8386 (4.9921)	Prec@1 3.516 (4.795)	Prec@5 18.750 (16.380)
Epoch: [27][1890/7045]	Time 0.317 (0.253)	Data 0.265 (0.189)	Loss 5.1854 (4.9926)	Prec@1 3.906 (4.794)	Prec@5 14.844 (16.371)
Epoch: [27][1900/7045]	Time 0.467 (0.253)	Data 0.415 (0.189)	Loss 4.8297 (4.9929)	Prec@1 5.469 (4.794)	Prec@5 21.875 (16.368)
Epoch: [27][1910/7045]	Time 0.264 (0.253)	Data 0.213 (0.189)	Loss 4.9999 (4.9930)	Prec@1 3.125 (4.795)	Prec@5 16.406 (16.368)
Epoch: [27][1920/7045]	Time 0.313 (0.253)	Data 0.261 (0.189)	Loss 4.9713 (4.9927)	Prec@1 7.422 (4.799)	Prec@5 18.359 (16.378)
Epoch: [27][1930/7045]	Time 0.191 (0.253)	Data 0.141 (0.189)	Loss 4.9316 (4.9927)	Prec@1 5.078 (4.799)	Prec@5 18.359 (16.381)
Epoch: [27][1940/7045]	Time 0.219 (0.253)	Data 0.168 (0.189)	Loss 4.8888 (4.9925)	Prec@1 8.203 (4.801)	Prec@5 18.359 (16.384)
Epoch: [27][1950/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 5.0412 (4.9926)	Prec@1 3.516 (4.802)	Prec@5 15.234 (16.384)
Epoch: [27][1960/7045]	Time 0.367 (0.253)	Data 0.316 (0.189)	Loss 5.0609 (4.9923)	Prec@1 5.078 (4.802)	Prec@5 17.188 (16.390)
Epoch: [27][1970/7045]	Time 0.339 (0.253)	Data 0.285 (0.189)	Loss 5.0029 (4.9924)	Prec@1 3.906 (4.804)	Prec@5 16.016 (16.389)
Epoch: [27][1980/7045]	Time 0.102 (0.253)	Data 0.049 (0.189)	Loss 4.9973 (4.9925)	Prec@1 4.297 (4.804)	Prec@5 14.453 (16.387)
Epoch: [27][1990/7045]	Time 0.102 (0.253)	Data 0.051 (0.189)	Loss 4.8588 (4.9925)	Prec@1 5.469 (4.805)	Prec@5 17.578 (16.389)
Epoch: [27][2000/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 4.9215 (4.9925)	Prec@1 6.250 (4.806)	Prec@5 20.703 (16.392)
Epoch: [27][2010/7045]	Time 0.187 (0.253)	Data 0.137 (0.189)	Loss 4.9008 (4.9925)	Prec@1 6.250 (4.804)	Prec@5 18.750 (16.394)
Epoch: [27][2020/7045]	Time 0.489 (0.253)	Data 0.438 (0.189)	Loss 5.0118 (4.9925)	Prec@1 9.375 (4.807)	Prec@5 15.625 (16.398)
Epoch: [27][2030/7045]	Time 0.101 (0.253)	Data 0.001 (0.189)	Loss 5.0209 (4.9926)	Prec@1 4.297 (4.807)	Prec@5 13.281 (16.394)
Epoch: [27][2040/7045]	Time 0.390 (0.253)	Data 0.339 (0.189)	Loss 5.0751 (4.9929)	Prec@1 5.078 (4.807)	Prec@5 15.234 (16.387)
Epoch: [27][2050/7045]	Time 0.101 (0.253)	Data 0.001 (0.189)	Loss 5.1500 (4.9927)	Prec@1 3.516 (4.807)	Prec@5 14.453 (16.392)
Epoch: [27][2060/7045]	Time 0.195 (0.253)	Data 0.143 (0.189)	Loss 5.1295 (4.9929)	Prec@1 2.734 (4.805)	Prec@5 12.891 (16.381)
Epoch: [27][2070/7045]	Time 0.119 (0.253)	Data 0.068 (0.189)	Loss 5.0571 (4.9934)	Prec@1 6.641 (4.805)	Prec@5 16.016 (16.377)
Epoch: [27][2080/7045]	Time 0.282 (0.253)	Data 0.231 (0.189)	Loss 5.0309 (4.9935)	Prec@1 4.688 (4.805)	Prec@5 16.797 (16.376)
Epoch: [27][2090/7045]	Time 0.102 (0.253)	Data 0.019 (0.189)	Loss 4.9866 (4.9935)	Prec@1 5.078 (4.810)	Prec@5 12.109 (16.375)
Epoch: [27][2100/7045]	Time 0.352 (0.253)	Data 0.301 (0.189)	Loss 4.9530 (4.9937)	Prec@1 8.203 (4.807)	Prec@5 17.969 (16.371)
Epoch: [27][2110/7045]	Time 0.329 (0.253)	Data 0.277 (0.189)	Loss 5.0041 (4.9938)	Prec@1 3.125 (4.805)	Prec@5 11.328 (16.363)
Epoch: [27][2120/7045]	Time 0.101 (0.253)	Data 0.049 (0.189)	Loss 4.9478 (4.9938)	Prec@1 4.297 (4.806)	Prec@5 17.578 (16.362)
Epoch: [27][2130/7045]	Time 0.102 (0.253)	Data 0.002 (0.189)	Loss 4.9429 (4.9940)	Prec@1 5.078 (4.805)	Prec@5 19.531 (16.358)
Epoch: [27][2140/7045]	Time 0.101 (0.253)	Data 0.003 (0.189)	Loss 5.0323 (4.9944)	Prec@1 4.688 (4.802)	Prec@5 16.797 (16.349)
Epoch: [27][2150/7045]	Time 0.101 (0.253)	Data 0.017 (0.189)	Loss 5.0553 (4.9948)	Prec@1 3.516 (4.798)	Prec@5 13.281 (16.338)
Epoch: [27][2160/7045]	Time 0.101 (0.253)	Data 0.049 (0.189)	Loss 5.1524 (4.9952)	Prec@1 4.688 (4.795)	Prec@5 15.234 (16.332)
Epoch: [27][2170/7045]	Time 0.333 (0.253)	Data 0.281 (0.189)	Loss 5.1785 (4.9959)	Prec@1 4.297 (4.789)	Prec@5 13.672 (16.323)
Epoch: [27][2180/7045]	Time 0.101 (0.252)	Data 0.001 (0.189)	Loss 5.1947 (4.9964)	Prec@1 4.688 (4.788)	Prec@5 13.281 (16.314)
Epoch: [27][2190/7045]	Time 0.398 (0.253)	Data 0.346 (0.189)	Loss 5.0957 (4.9966)	Prec@1 4.688 (4.786)	Prec@5 14.062 (16.305)
Epoch: [27][2200/7045]	Time 0.101 (0.252)	Data 0.001 (0.189)	Loss 5.0576 (4.9968)	Prec@1 5.859 (4.788)	Prec@5 17.578 (16.306)
Epoch: [27][2210/7045]	Time 0.441 (0.252)	Data 0.389 (0.189)	Loss 5.0394 (4.9971)	Prec@1 4.297 (4.785)	Prec@5 17.188 (16.301)
Epoch: [27][2220/7045]	Time 0.099 (0.252)	Data 0.006 (0.188)	Loss 4.9276 (4.9971)	Prec@1 5.078 (4.786)	Prec@5 17.578 (16.300)
Epoch: [27][2230/7045]	Time 0.366 (0.252)	Data 0.314 (0.189)	Loss 5.1290 (4.9974)	Prec@1 7.422 (4.786)	Prec@5 19.141 (16.298)
Epoch: [27][2240/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 5.1611 (4.9979)	Prec@1 3.906 (4.782)	Prec@5 14.062 (16.286)
Epoch: [27][2250/7045]	Time 0.367 (0.252)	Data 0.316 (0.188)	Loss 5.1813 (4.9984)	Prec@1 5.859 (4.779)	Prec@5 13.281 (16.277)
Epoch: [27][2260/7045]	Time 0.162 (0.252)	Data 0.109 (0.188)	Loss 5.0570 (4.9988)	Prec@1 4.688 (4.775)	Prec@5 14.062 (16.266)
Epoch: [27][2270/7045]	Time 0.531 (0.252)	Data 0.480 (0.189)	Loss 4.9557 (4.9989)	Prec@1 3.516 (4.770)	Prec@5 15.625 (16.259)
Epoch: [27][2280/7045]	Time 0.162 (0.252)	Data 0.112 (0.188)	Loss 5.1360 (4.9989)	Prec@1 5.469 (4.769)	Prec@5 14.453 (16.254)
Epoch: [27][2290/7045]	Time 0.110 (0.252)	Data 0.001 (0.189)	Loss 4.8856 (4.9987)	Prec@1 6.641 (4.769)	Prec@5 16.797 (16.257)
Epoch: [27][2300/7045]	Time 0.101 (0.252)	Data 0.001 (0.188)	Loss 5.1076 (4.9988)	Prec@1 3.125 (4.767)	Prec@5 14.453 (16.252)
Epoch: [27][2310/7045]	Time 0.302 (0.252)	Data 0.248 (0.188)	Loss 4.9857 (4.9987)	Prec@1 5.078 (4.768)	Prec@5 16.016 (16.254)
Epoch: [27][2320/7045]	Time 0.669 (0.252)	Data 0.619 (0.189)	Loss 4.9585 (4.9987)	Prec@1 6.250 (4.766)	Prec@5 17.969 (16.248)
Epoch: [27][2330/7045]	Time 0.100 (0.252)	Data 0.001 (0.188)	Loss 5.0271 (4.9989)	Prec@1 5.469 (4.764)	Prec@5 16.797 (16.245)
Epoch: [27][2340/7045]	Time 0.802 (0.252)	Data 0.752 (0.189)	Loss 5.0539 (4.9990)	Prec@1 5.078 (4.764)	Prec@5 16.016 (16.242)
Epoch: [27][2350/7045]	Time 0.102 (0.252)	Data 0.003 (0.188)	Loss 5.0590 (4.9992)	Prec@1 4.297 (4.763)	Prec@5 13.672 (16.238)
Epoch: [27][2360/7045]	Time 0.127 (0.252)	Data 0.074 (0.188)	Loss 5.0161 (4.9991)	Prec@1 5.469 (4.763)	Prec@5 14.844 (16.238)
Epoch: [27][2370/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 5.0008 (4.9989)	Prec@1 3.516 (4.768)	Prec@5 16.797 (16.243)
Epoch: [27][2380/7045]	Time 0.100 (0.252)	Data 0.001 (0.188)	Loss 4.9319 (4.9988)	Prec@1 4.297 (4.767)	Prec@5 17.578 (16.246)
Epoch: [27][2390/7045]	Time 0.466 (0.252)	Data 0.414 (0.188)	Loss 5.0417 (4.9987)	Prec@1 3.516 (4.768)	Prec@5 14.844 (16.243)
Epoch: [27][2400/7045]	Time 0.100 (0.252)	Data 0.001 (0.188)	Loss 5.0466 (4.9986)	Prec@1 5.078 (4.769)	Prec@5 16.797 (16.245)
Epoch: [27][2410/7045]	Time 0.560 (0.252)	Data 0.508 (0.188)	Loss 5.0672 (4.9988)	Prec@1 4.297 (4.768)	Prec@5 16.406 (16.245)
Epoch: [27][2420/7045]	Time 0.252 (0.252)	Data 0.194 (0.188)	Loss 4.9223 (4.9988)	Prec@1 4.688 (4.765)	Prec@5 17.578 (16.241)
Epoch: [27][2430/7045]	Time 0.120 (0.252)	Data 0.069 (0.188)	Loss 4.9171 (4.9988)	Prec@1 3.516 (4.764)	Prec@5 16.016 (16.241)
Epoch: [27][2440/7045]	Time 0.231 (0.252)	Data 0.180 (0.188)	Loss 5.0172 (4.9991)	Prec@1 5.078 (4.760)	Prec@5 17.969 (16.237)
Epoch: [27][2450/7045]	Time 0.261 (0.252)	Data 0.211 (0.188)	Loss 4.9814 (4.9993)	Prec@1 4.297 (4.759)	Prec@5 14.844 (16.233)
Epoch: [27][2460/7045]	Time 0.110 (0.252)	Data 0.001 (0.188)	Loss 5.0123 (4.9995)	Prec@1 2.344 (4.756)	Prec@5 14.844 (16.228)
Epoch: [27][2470/7045]	Time 0.196 (0.252)	Data 0.144 (0.188)	Loss 4.9452 (4.9996)	Prec@1 3.125 (4.752)	Prec@5 20.312 (16.227)
Epoch: [27][2480/7045]	Time 0.360 (0.252)	Data 0.310 (0.188)	Loss 5.0206 (4.9997)	Prec@1 4.297 (4.752)	Prec@5 16.797 (16.227)
Epoch: [27][2490/7045]	Time 0.228 (0.252)	Data 0.176 (0.188)	Loss 4.9830 (5.0000)	Prec@1 3.906 (4.748)	Prec@5 17.578 (16.222)
Epoch: [27][2500/7045]	Time 0.444 (0.252)	Data 0.390 (0.188)	Loss 4.9704 (4.9999)	Prec@1 3.906 (4.750)	Prec@5 17.188 (16.221)
Epoch: [27][2510/7045]	Time 0.146 (0.252)	Data 0.094 (0.188)	Loss 4.9838 (5.0001)	Prec@1 5.078 (4.748)	Prec@5 16.406 (16.220)
Epoch: [27][2520/7045]	Time 0.373 (0.252)	Data 0.323 (0.188)	Loss 4.8170 (5.0000)	Prec@1 8.594 (4.747)	Prec@5 24.219 (16.224)
Epoch: [27][2530/7045]	Time 0.286 (0.252)	Data 0.233 (0.188)	Loss 4.9975 (5.0000)	Prec@1 4.297 (4.749)	Prec@5 20.312 (16.224)
Epoch: [27][2540/7045]	Time 0.543 (0.252)	Data 0.491 (0.188)	Loss 5.1196 (4.9998)	Prec@1 5.078 (4.748)	Prec@5 15.625 (16.225)
Epoch: [27][2550/7045]	Time 0.108 (0.252)	Data 0.005 (0.188)	Loss 5.0197 (4.9998)	Prec@1 3.516 (4.749)	Prec@5 11.719 (16.224)
Epoch: [27][2560/7045]	Time 0.679 (0.252)	Data 0.627 (0.188)	Loss 5.0023 (4.9997)	Prec@1 7.812 (4.751)	Prec@5 15.625 (16.226)
Epoch: [27][2570/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 4.9475 (4.9998)	Prec@1 6.250 (4.749)	Prec@5 19.141 (16.226)
Epoch: [27][2580/7045]	Time 0.555 (0.252)	Data 0.496 (0.188)	Loss 4.9774 (4.9996)	Prec@1 4.297 (4.748)	Prec@5 15.234 (16.224)
Epoch: [27][2590/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 5.2311 (4.9997)	Prec@1 2.344 (4.746)	Prec@5 13.672 (16.221)
Epoch: [27][2600/7045]	Time 0.504 (0.252)	Data 0.453 (0.188)	Loss 5.0910 (5.0000)	Prec@1 3.906 (4.742)	Prec@5 11.328 (16.211)
Epoch: [27][2610/7045]	Time 0.101 (0.252)	Data 0.001 (0.188)	Loss 4.9231 (5.0000)	Prec@1 5.859 (4.744)	Prec@5 16.797 (16.211)
Epoch: [27][2620/7045]	Time 0.287 (0.252)	Data 0.235 (0.188)	Loss 5.1067 (5.0000)	Prec@1 3.516 (4.743)	Prec@5 16.016 (16.211)
Epoch: [27][2630/7045]	Time 0.370 (0.252)	Data 0.319 (0.188)	Loss 5.0159 (5.0000)	Prec@1 5.469 (4.742)	Prec@5 16.406 (16.212)
Epoch: [27][2640/7045]	Time 0.101 (0.252)	Data 0.047 (0.188)	Loss 4.9052 (4.9998)	Prec@1 5.078 (4.742)	Prec@5 17.578 (16.216)
Epoch: [27][2650/7045]	Time 0.493 (0.252)	Data 0.442 (0.188)	Loss 5.0758 (4.9998)	Prec@1 2.734 (4.742)	Prec@5 14.453 (16.216)
Epoch: [27][2660/7045]	Time 0.199 (0.252)	Data 0.147 (0.188)	Loss 5.1692 (4.9999)	Prec@1 3.516 (4.739)	Prec@5 13.281 (16.209)
Epoch: [27][2670/7045]	Time 0.254 (0.252)	Data 0.202 (0.188)	Loss 4.9665 (4.9999)	Prec@1 5.859 (4.740)	Prec@5 19.531 (16.209)
Epoch: [27][2680/7045]	Time 0.102 (0.252)	Data 0.044 (0.188)	Loss 5.0010 (5.0000)	Prec@1 2.344 (4.737)	Prec@5 14.844 (16.209)
Epoch: [27][2690/7045]	Time 0.215 (0.252)	Data 0.163 (0.188)	Loss 5.0247 (4.9999)	Prec@1 5.078 (4.739)	Prec@5 16.016 (16.208)
Epoch: [27][2700/7045]	Time 0.101 (0.252)	Data 0.050 (0.188)	Loss 5.0340 (4.9998)	Prec@1 3.125 (4.739)	Prec@5 17.188 (16.210)
Epoch: [27][2710/7045]	Time 0.268 (0.252)	Data 0.216 (0.188)	Loss 5.0916 (5.0000)	Prec@1 2.734 (4.740)	Prec@5 16.016 (16.213)
Epoch: [27][2720/7045]	Time 0.471 (0.252)	Data 0.419 (0.188)	Loss 5.0915 (5.0000)	Prec@1 4.688 (4.742)	Prec@5 16.797 (16.211)
Epoch: [27][2730/7045]	Time 0.108 (0.252)	Data 0.006 (0.188)	Loss 5.0748 (5.0003)	Prec@1 5.469 (4.742)	Prec@5 13.281 (16.206)
Epoch: [27][2740/7045]	Time 0.209 (0.252)	Data 0.159 (0.188)	Loss 4.9503 (5.0003)	Prec@1 4.688 (4.741)	Prec@5 17.969 (16.212)
Epoch: [27][2750/7045]	Time 0.100 (0.252)	Data 0.013 (0.188)	Loss 4.8353 (5.0003)	Prec@1 5.078 (4.741)	Prec@5 19.922 (16.213)
Epoch: [27][2760/7045]	Time 0.169 (0.252)	Data 0.117 (0.188)	Loss 4.9723 (5.0001)	Prec@1 3.516 (4.743)	Prec@5 16.016 (16.217)
Epoch: [27][2770/7045]	Time 0.102 (0.252)	Data 0.013 (0.188)	Loss 5.0254 (5.0000)	Prec@1 3.516 (4.744)	Prec@5 14.844 (16.218)
Epoch: [27][2780/7045]	Time 0.202 (0.252)	Data 0.151 (0.188)	Loss 4.9526 (5.0000)	Prec@1 4.297 (4.742)	Prec@5 17.188 (16.219)
Epoch: [27][2790/7045]	Time 0.157 (0.251)	Data 0.106 (0.188)	Loss 5.0645 (5.0001)	Prec@1 5.469 (4.744)	Prec@5 14.062 (16.217)
Epoch: [27][2800/7045]	Time 0.263 (0.252)	Data 0.210 (0.188)	Loss 5.0111 (5.0001)	Prec@1 6.250 (4.745)	Prec@5 17.188 (16.216)
Epoch: [27][2810/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 5.0961 (5.0003)	Prec@1 3.125 (4.744)	Prec@5 16.016 (16.213)
Epoch: [27][2820/7045]	Time 0.294 (0.251)	Data 0.242 (0.188)	Loss 4.8303 (5.0001)	Prec@1 6.250 (4.748)	Prec@5 18.750 (16.217)
Epoch: [27][2830/7045]	Time 0.103 (0.251)	Data 0.001 (0.188)	Loss 5.0297 (5.0002)	Prec@1 3.516 (4.746)	Prec@5 19.141 (16.218)
Epoch: [27][2840/7045]	Time 0.345 (0.251)	Data 0.294 (0.188)	Loss 4.9765 (5.0005)	Prec@1 5.859 (4.746)	Prec@5 18.359 (16.215)
Epoch: [27][2850/7045]	Time 0.156 (0.251)	Data 0.106 (0.188)	Loss 4.9356 (5.0004)	Prec@1 7.031 (4.748)	Prec@5 20.703 (16.219)
Epoch: [27][2860/7045]	Time 0.236 (0.251)	Data 0.185 (0.188)	Loss 5.0091 (5.0004)	Prec@1 4.297 (4.748)	Prec@5 15.625 (16.216)
Epoch: [27][2870/7045]	Time 0.443 (0.251)	Data 0.392 (0.188)	Loss 5.0284 (5.0006)	Prec@1 2.734 (4.746)	Prec@5 14.453 (16.211)
Epoch: [27][2880/7045]	Time 0.106 (0.251)	Data 0.053 (0.188)	Loss 4.9550 (5.0007)	Prec@1 4.297 (4.744)	Prec@5 17.969 (16.208)
Epoch: [27][2890/7045]	Time 0.623 (0.251)	Data 0.568 (0.188)	Loss 5.0892 (5.0007)	Prec@1 5.859 (4.742)	Prec@5 16.797 (16.210)
Epoch: [27][2900/7045]	Time 0.207 (0.251)	Data 0.157 (0.188)	Loss 5.0297 (5.0008)	Prec@1 5.469 (4.742)	Prec@5 15.234 (16.208)
Epoch: [27][2910/7045]	Time 0.229 (0.251)	Data 0.170 (0.188)	Loss 5.2252 (5.0006)	Prec@1 4.297 (4.743)	Prec@5 15.234 (16.211)
Epoch: [27][2920/7045]	Time 0.174 (0.251)	Data 0.122 (0.188)	Loss 4.9599 (5.0005)	Prec@1 6.641 (4.744)	Prec@5 19.141 (16.213)
Epoch: [27][2930/7045]	Time 0.191 (0.251)	Data 0.140 (0.188)	Loss 4.8810 (5.0004)	Prec@1 7.812 (4.745)	Prec@5 19.141 (16.215)
Epoch: [27][2940/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 5.0410 (5.0004)	Prec@1 4.297 (4.745)	Prec@5 17.969 (16.215)
Epoch: [27][2950/7045]	Time 0.104 (0.251)	Data 0.001 (0.187)	Loss 5.0602 (5.0003)	Prec@1 4.688 (4.746)	Prec@5 13.281 (16.217)
Epoch: [27][2960/7045]	Time 0.101 (0.251)	Data 0.007 (0.187)	Loss 4.9534 (5.0002)	Prec@1 6.250 (4.747)	Prec@5 18.359 (16.220)
Epoch: [27][2970/7045]	Time 0.188 (0.251)	Data 0.136 (0.187)	Loss 4.8404 (5.0002)	Prec@1 5.469 (4.746)	Prec@5 18.750 (16.219)
Epoch: [27][2980/7045]	Time 0.109 (0.251)	Data 0.058 (0.187)	Loss 5.0374 (5.0002)	Prec@1 4.297 (4.744)	Prec@5 16.406 (16.218)
Epoch: [27][2990/7045]	Time 0.278 (0.251)	Data 0.227 (0.187)	Loss 5.0999 (5.0003)	Prec@1 2.734 (4.742)	Prec@5 13.281 (16.217)
Epoch: [27][3000/7045]	Time 0.226 (0.251)	Data 0.175 (0.187)	Loss 5.0396 (5.0003)	Prec@1 4.297 (4.743)	Prec@5 15.625 (16.219)
Epoch: [27][3010/7045]	Time 0.177 (0.251)	Data 0.126 (0.187)	Loss 4.8511 (5.0001)	Prec@1 7.031 (4.746)	Prec@5 19.531 (16.222)
Epoch: [27][3020/7045]	Time 0.241 (0.251)	Data 0.189 (0.187)	Loss 5.0240 (5.0002)	Prec@1 6.641 (4.746)	Prec@5 12.891 (16.220)
Epoch: [27][3030/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 4.9629 (5.0003)	Prec@1 5.469 (4.745)	Prec@5 17.578 (16.220)
Epoch: [27][3040/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 4.9569 (5.0003)	Prec@1 4.297 (4.744)	Prec@5 14.062 (16.218)
Epoch: [27][3050/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 4.9368 (5.0005)	Prec@1 4.297 (4.743)	Prec@5 17.578 (16.214)
Epoch: [27][3060/7045]	Time 0.102 (0.251)	Data 0.004 (0.187)	Loss 4.8647 (5.0006)	Prec@1 6.250 (4.742)	Prec@5 18.750 (16.211)
Epoch: [27][3070/7045]	Time 0.315 (0.251)	Data 0.264 (0.187)	Loss 5.0957 (5.0007)	Prec@1 3.125 (4.742)	Prec@5 12.500 (16.210)
Epoch: [27][3080/7045]	Time 0.109 (0.251)	Data 0.001 (0.187)	Loss 5.0075 (5.0007)	Prec@1 5.078 (4.741)	Prec@5 17.188 (16.208)
Epoch: [27][3090/7045]	Time 0.699 (0.251)	Data 0.648 (0.187)	Loss 4.9623 (5.0006)	Prec@1 4.688 (4.742)	Prec@5 17.188 (16.211)
Epoch: [27][3100/7045]	Time 0.095 (0.251)	Data 0.001 (0.187)	Loss 5.1616 (5.0007)	Prec@1 4.688 (4.742)	Prec@5 15.625 (16.210)
Epoch: [27][3110/7045]	Time 0.577 (0.251)	Data 0.522 (0.187)	Loss 5.1487 (5.0012)	Prec@1 2.344 (4.739)	Prec@5 12.109 (16.203)
Epoch: [27][3120/7045]	Time 0.290 (0.251)	Data 0.239 (0.187)	Loss 4.9314 (5.0015)	Prec@1 5.469 (4.739)	Prec@5 17.578 (16.193)
Epoch: [27][3130/7045]	Time 0.327 (0.251)	Data 0.276 (0.187)	Loss 5.0094 (5.0015)	Prec@1 7.031 (4.739)	Prec@5 17.969 (16.197)
Epoch: [27][3140/7045]	Time 0.130 (0.251)	Data 0.078 (0.187)	Loss 5.1238 (5.0015)	Prec@1 2.344 (4.741)	Prec@5 12.891 (16.198)
Epoch: [27][3150/7045]	Time 0.100 (0.251)	Data 0.002 (0.187)	Loss 4.9858 (5.0014)	Prec@1 5.469 (4.744)	Prec@5 18.750 (16.202)
Epoch: [27][3160/7045]	Time 0.130 (0.251)	Data 0.078 (0.187)	Loss 4.9010 (5.0013)	Prec@1 5.469 (4.743)	Prec@5 17.969 (16.206)
Epoch: [27][3170/7045]	Time 0.101 (0.251)	Data 0.006 (0.187)	Loss 4.9940 (5.0012)	Prec@1 6.250 (4.743)	Prec@5 16.797 (16.210)
Epoch: [27][3180/7045]	Time 0.236 (0.251)	Data 0.185 (0.187)	Loss 5.1184 (5.0012)	Prec@1 3.516 (4.743)	Prec@5 16.797 (16.209)
Epoch: [27][3190/7045]	Time 0.098 (0.251)	Data 0.001 (0.187)	Loss 4.8897 (5.0012)	Prec@1 6.641 (4.744)	Prec@5 19.531 (16.206)
Epoch: [27][3200/7045]	Time 0.799 (0.251)	Data 0.747 (0.187)	Loss 4.9815 (5.0012)	Prec@1 4.297 (4.744)	Prec@5 15.234 (16.206)
Epoch: [27][3210/7045]	Time 0.102 (0.251)	Data 0.050 (0.187)	Loss 4.9210 (5.0013)	Prec@1 4.688 (4.744)	Prec@5 17.188 (16.204)
Epoch: [27][3220/7045]	Time 0.336 (0.251)	Data 0.283 (0.187)	Loss 5.0142 (5.0013)	Prec@1 6.250 (4.744)	Prec@5 16.406 (16.203)
Epoch: [27][3230/7045]	Time 0.109 (0.251)	Data 0.057 (0.187)	Loss 4.7734 (5.0011)	Prec@1 7.812 (4.745)	Prec@5 20.312 (16.207)
Epoch: [27][3240/7045]	Time 0.119 (0.251)	Data 0.067 (0.187)	Loss 5.0833 (5.0008)	Prec@1 2.734 (4.744)	Prec@5 16.016 (16.213)
Epoch: [27][3250/7045]	Time 0.104 (0.251)	Data 0.051 (0.187)	Loss 5.1448 (5.0010)	Prec@1 1.953 (4.741)	Prec@5 13.672 (16.210)
Epoch: [27][3260/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 4.9544 (5.0010)	Prec@1 5.859 (4.741)	Prec@5 18.359 (16.210)
Epoch: [27][3270/7045]	Time 0.619 (0.251)	Data 0.568 (0.187)	Loss 5.0541 (5.0011)	Prec@1 4.297 (4.739)	Prec@5 15.625 (16.209)
Epoch: [27][3280/7045]	Time 0.481 (0.251)	Data 0.422 (0.187)	Loss 4.9222 (5.0010)	Prec@1 7.031 (4.742)	Prec@5 21.094 (16.213)
Epoch: [27][3290/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 4.9879 (5.0010)	Prec@1 4.688 (4.742)	Prec@5 15.234 (16.212)
Epoch: [27][3300/7045]	Time 0.600 (0.251)	Data 0.551 (0.187)	Loss 5.1161 (5.0008)	Prec@1 4.688 (4.743)	Prec@5 13.672 (16.217)
Epoch: [27][3310/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 5.0065 (5.0008)	Prec@1 4.688 (4.744)	Prec@5 18.750 (16.219)
Epoch: [27][3320/7045]	Time 0.107 (0.251)	Data 0.006 (0.187)	Loss 4.8789 (5.0006)	Prec@1 6.250 (4.746)	Prec@5 18.750 (16.223)
Epoch: [27][3330/7045]	Time 0.109 (0.251)	Data 0.058 (0.187)	Loss 4.7506 (5.0005)	Prec@1 7.031 (4.748)	Prec@5 19.531 (16.226)
Epoch: [27][3340/7045]	Time 0.100 (0.251)	Data 0.010 (0.187)	Loss 4.8198 (5.0002)	Prec@1 6.250 (4.748)	Prec@5 19.141 (16.228)
Epoch: [27][3350/7045]	Time 0.552 (0.251)	Data 0.500 (0.187)	Loss 4.9466 (4.9999)	Prec@1 4.688 (4.750)	Prec@5 16.797 (16.232)
Epoch: [27][3360/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 4.9700 (4.9996)	Prec@1 3.906 (4.752)	Prec@5 15.234 (16.237)
Epoch: [27][3370/7045]	Time 0.680 (0.251)	Data 0.630 (0.187)	Loss 5.0217 (4.9994)	Prec@1 4.297 (4.751)	Prec@5 16.016 (16.239)
Epoch: [27][3380/7045]	Time 0.108 (0.251)	Data 0.057 (0.187)	Loss 4.9940 (4.9993)	Prec@1 6.250 (4.751)	Prec@5 17.578 (16.240)
Epoch: [27][3390/7045]	Time 0.694 (0.251)	Data 0.642 (0.187)	Loss 4.9706 (4.9991)	Prec@1 3.125 (4.752)	Prec@5 11.719 (16.243)
Epoch: [27][3400/7045]	Time 0.102 (0.251)	Data 0.001 (0.186)	Loss 4.9721 (4.9992)	Prec@1 4.688 (4.754)	Prec@5 12.500 (16.241)
Epoch: [27][3410/7045]	Time 0.562 (0.251)	Data 0.510 (0.186)	Loss 4.9482 (4.9990)	Prec@1 5.469 (4.758)	Prec@5 20.703 (16.248)
Epoch: [27][3420/7045]	Time 0.108 (0.251)	Data 0.058 (0.186)	Loss 4.9813 (4.9990)	Prec@1 6.641 (4.758)	Prec@5 21.094 (16.246)
Epoch: [27][3430/7045]	Time 0.557 (0.251)	Data 0.505 (0.186)	Loss 5.1346 (4.9994)	Prec@1 3.516 (4.756)	Prec@5 14.062 (16.243)
Epoch: [27][3440/7045]	Time 0.174 (0.251)	Data 0.115 (0.186)	Loss 5.1162 (4.9995)	Prec@1 3.516 (4.753)	Prec@5 12.500 (16.238)
Epoch: [27][3450/7045]	Time 0.498 (0.251)	Data 0.447 (0.186)	Loss 4.8056 (4.9994)	Prec@1 7.422 (4.756)	Prec@5 19.922 (16.243)
Epoch: [27][3460/7045]	Time 0.113 (0.251)	Data 0.062 (0.186)	Loss 4.9707 (4.9992)	Prec@1 7.031 (4.758)	Prec@5 21.094 (16.246)
Epoch: [27][3470/7045]	Time 0.499 (0.251)	Data 0.448 (0.186)	Loss 4.9901 (4.9994)	Prec@1 4.297 (4.760)	Prec@5 16.016 (16.245)
Epoch: [27][3480/7045]	Time 0.165 (0.251)	Data 0.113 (0.186)	Loss 5.0485 (4.9995)	Prec@1 4.688 (4.759)	Prec@5 16.016 (16.244)
Epoch: [27][3490/7045]	Time 0.212 (0.251)	Data 0.160 (0.186)	Loss 4.9298 (4.9994)	Prec@1 4.688 (4.761)	Prec@5 16.406 (16.244)
Epoch: [27][3500/7045]	Time 0.101 (0.251)	Data 0.017 (0.186)	Loss 5.0511 (4.9994)	Prec@1 3.906 (4.760)	Prec@5 15.234 (16.243)
Epoch: [27][3510/7045]	Time 0.450 (0.251)	Data 0.396 (0.186)	Loss 4.9804 (4.9994)	Prec@1 5.469 (4.761)	Prec@5 15.234 (16.243)
Epoch: [27][3520/7045]	Time 0.102 (0.251)	Data 0.001 (0.186)	Loss 4.9276 (4.9994)	Prec@1 3.906 (4.761)	Prec@5 16.406 (16.242)
Epoch: [27][3530/7045]	Time 0.327 (0.251)	Data 0.275 (0.186)	Loss 5.0105 (4.9993)	Prec@1 3.516 (4.761)	Prec@5 14.844 (16.243)
Epoch: [27][3540/7045]	Time 0.160 (0.251)	Data 0.109 (0.186)	Loss 5.0583 (4.9992)	Prec@1 3.906 (4.763)	Prec@5 11.719 (16.240)
Epoch: [27][3550/7045]	Time 0.108 (0.250)	Data 0.056 (0.186)	Loss 4.8970 (4.9991)	Prec@1 5.078 (4.764)	Prec@5 19.531 (16.242)
Epoch: [27][3560/7045]	Time 0.184 (0.250)	Data 0.125 (0.186)	Loss 4.9006 (4.9991)	Prec@1 5.078 (4.764)	Prec@5 17.578 (16.237)
Epoch: [27][3570/7045]	Time 0.123 (0.250)	Data 0.072 (0.186)	Loss 4.9835 (4.9990)	Prec@1 5.078 (4.765)	Prec@5 13.281 (16.239)
Epoch: [27][3580/7045]	Time 0.102 (0.250)	Data 0.050 (0.186)	Loss 4.9681 (4.9991)	Prec@1 3.516 (4.763)	Prec@5 14.844 (16.235)
Epoch: [27][3590/7045]	Time 0.113 (0.250)	Data 0.055 (0.186)	Loss 4.9709 (4.9991)	Prec@1 5.078 (4.763)	Prec@5 18.750 (16.238)
Epoch: [27][3600/7045]	Time 0.106 (0.250)	Data 0.047 (0.186)	Loss 4.8948 (4.9990)	Prec@1 5.859 (4.766)	Prec@5 17.969 (16.239)
Epoch: [27][3610/7045]	Time 0.195 (0.250)	Data 0.143 (0.186)	Loss 5.0304 (4.9989)	Prec@1 3.125 (4.765)	Prec@5 14.453 (16.240)
Epoch: [27][3620/7045]	Time 0.106 (0.250)	Data 0.054 (0.186)	Loss 4.9237 (4.9990)	Prec@1 2.344 (4.765)	Prec@5 15.234 (16.240)
Epoch: [27][3630/7045]	Time 0.747 (0.250)	Data 0.696 (0.186)	Loss 4.8251 (4.9987)	Prec@1 4.297 (4.765)	Prec@5 17.969 (16.245)
Epoch: [27][3640/7045]	Time 0.106 (0.250)	Data 0.001 (0.186)	Loss 4.9878 (4.9986)	Prec@1 2.344 (4.766)	Prec@5 14.844 (16.245)
Epoch: [27][3650/7045]	Time 0.628 (0.250)	Data 0.577 (0.186)	Loss 5.0304 (4.9985)	Prec@1 3.906 (4.767)	Prec@5 14.453 (16.246)
Epoch: [27][3660/7045]	Time 0.119 (0.250)	Data 0.067 (0.186)	Loss 5.0000 (4.9986)	Prec@1 6.250 (4.768)	Prec@5 14.062 (16.247)
Epoch: [27][3670/7045]	Time 0.265 (0.250)	Data 0.213 (0.186)	Loss 5.0285 (4.9988)	Prec@1 3.906 (4.767)	Prec@5 17.578 (16.243)
Epoch: [27][3680/7045]	Time 0.103 (0.250)	Data 0.015 (0.186)	Loss 4.8756 (4.9987)	Prec@1 3.125 (4.768)	Prec@5 18.359 (16.244)
Epoch: [27][3690/7045]	Time 0.368 (0.250)	Data 0.315 (0.186)	Loss 4.9901 (4.9986)	Prec@1 4.297 (4.770)	Prec@5 16.797 (16.244)
Epoch: [27][3700/7045]	Time 0.109 (0.250)	Data 0.056 (0.186)	Loss 5.2199 (4.9986)	Prec@1 1.562 (4.770)	Prec@5 11.719 (16.243)
Epoch: [27][3710/7045]	Time 0.234 (0.250)	Data 0.183 (0.186)	Loss 5.0676 (4.9986)	Prec@1 4.688 (4.772)	Prec@5 14.844 (16.248)
Epoch: [27][3720/7045]	Time 0.103 (0.250)	Data 0.003 (0.186)	Loss 5.0419 (4.9986)	Prec@1 4.297 (4.773)	Prec@5 16.406 (16.251)
Epoch: [27][3730/7045]	Time 0.264 (0.250)	Data 0.214 (0.186)	Loss 4.9829 (4.9988)	Prec@1 5.469 (4.773)	Prec@5 16.797 (16.248)
Epoch: [27][3740/7045]	Time 0.101 (0.250)	Data 0.004 (0.186)	Loss 4.9720 (4.9989)	Prec@1 4.688 (4.772)	Prec@5 15.625 (16.246)
Epoch: [27][3750/7045]	Time 0.546 (0.250)	Data 0.495 (0.186)	Loss 5.0066 (4.9989)	Prec@1 5.469 (4.771)	Prec@5 14.844 (16.246)
Epoch: [27][3760/7045]	Time 0.101 (0.250)	Data 0.001 (0.186)	Loss 4.9757 (4.9989)	Prec@1 4.688 (4.772)	Prec@5 17.188 (16.247)
Epoch: [27][3770/7045]	Time 0.505 (0.250)	Data 0.454 (0.186)	Loss 4.9600 (4.9991)	Prec@1 4.297 (4.772)	Prec@5 18.359 (16.246)
Epoch: [27][3780/7045]	Time 0.177 (0.250)	Data 0.126 (0.186)	Loss 4.9590 (4.9990)	Prec@1 4.688 (4.772)	Prec@5 15.234 (16.245)
Epoch: [27][3790/7045]	Time 0.675 (0.250)	Data 0.624 (0.186)	Loss 4.9367 (4.9990)	Prec@1 6.250 (4.773)	Prec@5 15.625 (16.247)
Epoch: [27][3800/7045]	Time 0.352 (0.250)	Data 0.300 (0.186)	Loss 5.0258 (4.9990)	Prec@1 4.297 (4.773)	Prec@5 14.062 (16.250)
Epoch: [27][3810/7045]	Time 0.577 (0.250)	Data 0.518 (0.186)	Loss 5.0339 (4.9991)	Prec@1 4.688 (4.772)	Prec@5 12.891 (16.247)
Epoch: [27][3820/7045]	Time 0.293 (0.250)	Data 0.241 (0.186)	Loss 5.0558 (4.9992)	Prec@1 4.297 (4.771)	Prec@5 16.797 (16.244)
Epoch: [27][3830/7045]	Time 0.163 (0.250)	Data 0.106 (0.186)	Loss 4.9745 (4.9991)	Prec@1 5.469 (4.770)	Prec@5 15.625 (16.244)
Epoch: [27][3840/7045]	Time 0.145 (0.250)	Data 0.094 (0.186)	Loss 4.9254 (4.9990)	Prec@1 3.516 (4.771)	Prec@5 16.016 (16.242)
Epoch: [27][3850/7045]	Time 0.113 (0.250)	Data 0.009 (0.186)	Loss 5.0037 (4.9990)	Prec@1 3.906 (4.771)	Prec@5 16.406 (16.244)
Epoch: [27][3860/7045]	Time 0.101 (0.250)	Data 0.015 (0.186)	Loss 5.0133 (4.9989)	Prec@1 3.516 (4.771)	Prec@5 13.281 (16.245)
Epoch: [27][3870/7045]	Time 0.109 (0.250)	Data 0.018 (0.186)	Loss 4.8839 (4.9990)	Prec@1 6.641 (4.771)	Prec@5 18.359 (16.244)
Epoch: [27][3880/7045]	Time 0.211 (0.250)	Data 0.160 (0.186)	Loss 5.0351 (4.9991)	Prec@1 0.781 (4.769)	Prec@5 14.062 (16.242)
Epoch: [27][3890/7045]	Time 0.111 (0.250)	Data 0.013 (0.186)	Loss 5.0748 (4.9991)	Prec@1 4.688 (4.769)	Prec@5 14.062 (16.243)
Epoch: [27][3900/7045]	Time 0.842 (0.250)	Data 0.791 (0.186)	Loss 5.0470 (4.9991)	Prec@1 5.469 (4.769)	Prec@5 14.844 (16.242)
Epoch: [27][3910/7045]	Time 0.093 (0.250)	Data 0.001 (0.186)	Loss 5.1019 (4.9991)	Prec@1 3.516 (4.769)	Prec@5 15.234 (16.245)
Epoch: [27][3920/7045]	Time 0.561 (0.250)	Data 0.502 (0.186)	Loss 4.9104 (4.9991)	Prec@1 4.688 (4.769)	Prec@5 18.359 (16.246)
Epoch: [27][3930/7045]	Time 0.196 (0.250)	Data 0.146 (0.185)	Loss 4.9123 (4.9991)	Prec@1 5.078 (4.770)	Prec@5 17.578 (16.245)
Epoch: [27][3940/7045]	Time 0.524 (0.250)	Data 0.473 (0.186)	Loss 5.0578 (4.9993)	Prec@1 3.516 (4.770)	Prec@5 14.453 (16.244)
Epoch: [27][3950/7045]	Time 0.283 (0.250)	Data 0.230 (0.185)	Loss 4.9934 (4.9994)	Prec@1 6.641 (4.768)	Prec@5 16.406 (16.238)
Epoch: [27][3960/7045]	Time 0.356 (0.250)	Data 0.306 (0.185)	Loss 4.9086 (4.9995)	Prec@1 6.641 (4.768)	Prec@5 20.312 (16.238)
Epoch: [27][3970/7045]	Time 0.347 (0.250)	Data 0.296 (0.185)	Loss 4.9400 (4.9995)	Prec@1 3.125 (4.767)	Prec@5 16.016 (16.237)
Epoch: [27][3980/7045]	Time 0.102 (0.250)	Data 0.014 (0.185)	Loss 4.9839 (4.9994)	Prec@1 6.250 (4.770)	Prec@5 18.359 (16.240)
Epoch: [27][3990/7045]	Time 0.154 (0.250)	Data 0.103 (0.185)	Loss 4.9474 (4.9995)	Prec@1 4.297 (4.769)	Prec@5 16.797 (16.239)
Epoch: [27][4000/7045]	Time 0.342 (0.250)	Data 0.291 (0.186)	Loss 5.1429 (4.9996)	Prec@1 3.125 (4.767)	Prec@5 10.547 (16.234)
Epoch: [27][4010/7045]	Time 0.275 (0.250)	Data 0.223 (0.186)	Loss 5.0961 (4.9999)	Prec@1 3.906 (4.766)	Prec@5 12.500 (16.231)
Epoch: [27][4020/7045]	Time 0.219 (0.250)	Data 0.167 (0.186)	Loss 5.0378 (4.9999)	Prec@1 5.469 (4.766)	Prec@5 17.188 (16.232)
Epoch: [27][4030/7045]	Time 0.101 (0.250)	Data 0.001 (0.186)	Loss 4.9984 (4.9999)	Prec@1 6.641 (4.768)	Prec@5 16.797 (16.234)
Epoch: [27][4040/7045]	Time 0.217 (0.250)	Data 0.167 (0.186)	Loss 5.1152 (4.9998)	Prec@1 5.078 (4.769)	Prec@5 14.062 (16.237)
Epoch: [27][4050/7045]	Time 0.153 (0.250)	Data 0.103 (0.186)	Loss 4.7799 (4.9996)	Prec@1 8.203 (4.770)	Prec@5 20.312 (16.240)
Epoch: [27][4060/7045]	Time 0.107 (0.250)	Data 0.055 (0.185)	Loss 4.9143 (4.9995)	Prec@1 5.469 (4.770)	Prec@5 18.359 (16.240)
Epoch: [27][4070/7045]	Time 0.102 (0.250)	Data 0.049 (0.186)	Loss 4.9784 (4.9996)	Prec@1 5.859 (4.771)	Prec@5 18.750 (16.242)
Epoch: [27][4080/7045]	Time 0.100 (0.250)	Data 0.001 (0.185)	Loss 5.0232 (4.9996)	Prec@1 5.469 (4.770)	Prec@5 19.531 (16.244)
Epoch: [27][4090/7045]	Time 0.154 (0.250)	Data 0.095 (0.186)	Loss 5.0035 (4.9996)	Prec@1 5.469 (4.772)	Prec@5 16.406 (16.245)
Epoch: [27][4100/7045]	Time 0.105 (0.250)	Data 0.053 (0.185)	Loss 5.0213 (4.9997)	Prec@1 5.859 (4.772)	Prec@5 17.188 (16.243)
Epoch: [27][4110/7045]	Time 0.238 (0.250)	Data 0.188 (0.186)	Loss 5.0756 (4.9997)	Prec@1 3.125 (4.770)	Prec@5 14.844 (16.242)
Epoch: [27][4120/7045]	Time 0.101 (0.250)	Data 0.046 (0.185)	Loss 5.0890 (4.9998)	Prec@1 5.469 (4.770)	Prec@5 15.234 (16.242)
Epoch: [27][4130/7045]	Time 0.193 (0.250)	Data 0.142 (0.186)	Loss 5.0184 (4.9998)	Prec@1 7.031 (4.772)	Prec@5 17.969 (16.244)
Epoch: [27][4140/7045]	Time 0.345 (0.250)	Data 0.294 (0.186)	Loss 5.0002 (4.9996)	Prec@1 2.734 (4.770)	Prec@5 15.234 (16.244)
Epoch: [27][4150/7045]	Time 0.277 (0.250)	Data 0.217 (0.186)	Loss 4.8797 (4.9996)	Prec@1 3.125 (4.771)	Prec@5 16.016 (16.246)
Epoch: [27][4160/7045]	Time 0.550 (0.250)	Data 0.499 (0.186)	Loss 4.9839 (4.9994)	Prec@1 5.859 (4.772)	Prec@5 14.844 (16.250)
Epoch: [27][4170/7045]	Time 0.114 (0.250)	Data 0.062 (0.186)	Loss 4.9190 (4.9993)	Prec@1 5.078 (4.772)	Prec@5 18.359 (16.250)
Epoch: [27][4180/7045]	Time 0.726 (0.250)	Data 0.673 (0.186)	Loss 4.9489 (4.9992)	Prec@1 3.906 (4.771)	Prec@5 15.625 (16.253)
Epoch: [27][4190/7045]	Time 0.099 (0.250)	Data 0.001 (0.186)	Loss 5.0329 (4.9992)	Prec@1 5.469 (4.770)	Prec@5 18.359 (16.254)
Epoch: [27][4200/7045]	Time 0.611 (0.250)	Data 0.551 (0.186)	Loss 5.1448 (4.9991)	Prec@1 4.297 (4.773)	Prec@5 14.844 (16.258)
Epoch: [27][4210/7045]	Time 0.130 (0.250)	Data 0.079 (0.185)	Loss 4.9292 (4.9990)	Prec@1 4.688 (4.774)	Prec@5 19.531 (16.258)
Epoch: [27][4220/7045]	Time 0.237 (0.250)	Data 0.185 (0.185)	Loss 4.8538 (4.9990)	Prec@1 4.688 (4.774)	Prec@5 17.969 (16.259)
Epoch: [27][4230/7045]	Time 0.173 (0.250)	Data 0.122 (0.185)	Loss 4.7762 (4.9989)	Prec@1 3.906 (4.773)	Prec@5 17.188 (16.258)
Epoch: [27][4240/7045]	Time 0.237 (0.250)	Data 0.185 (0.186)	Loss 4.9745 (4.9989)	Prec@1 2.734 (4.773)	Prec@5 16.406 (16.256)
Epoch: [27][4250/7045]	Time 0.101 (0.250)	Data 0.004 (0.185)	Loss 5.0316 (4.9989)	Prec@1 4.297 (4.771)	Prec@5 12.109 (16.255)
Epoch: [27][4260/7045]	Time 0.161 (0.250)	Data 0.108 (0.186)	Loss 5.1227 (4.9991)	Prec@1 3.516 (4.772)	Prec@5 17.969 (16.254)
Epoch: [27][4270/7045]	Time 0.198 (0.250)	Data 0.147 (0.186)	Loss 5.1104 (4.9990)	Prec@1 4.688 (4.774)	Prec@5 12.109 (16.255)
Epoch: [27][4280/7045]	Time 0.228 (0.250)	Data 0.177 (0.186)	Loss 4.9660 (4.9990)	Prec@1 4.688 (4.776)	Prec@5 16.797 (16.255)
Epoch: [27][4290/7045]	Time 0.307 (0.250)	Data 0.248 (0.186)	Loss 4.9395 (4.9989)	Prec@1 3.906 (4.774)	Prec@5 23.047 (16.256)
Epoch: [27][4300/7045]	Time 0.098 (0.250)	Data 0.044 (0.186)	Loss 4.9929 (4.9989)	Prec@1 4.688 (4.774)	Prec@5 13.672 (16.254)
Epoch: [27][4310/7045]	Time 0.308 (0.250)	Data 0.257 (0.186)	Loss 4.8862 (4.9988)	Prec@1 4.297 (4.774)	Prec@5 14.453 (16.256)
Epoch: [27][4320/7045]	Time 0.494 (0.250)	Data 0.442 (0.186)	Loss 5.0120 (4.9988)	Prec@1 3.516 (4.773)	Prec@5 15.234 (16.256)
Epoch: [27][4330/7045]	Time 0.170 (0.250)	Data 0.118 (0.186)	Loss 5.1227 (4.9988)	Prec@1 3.906 (4.773)	Prec@5 12.109 (16.256)
Epoch: [27][4340/7045]	Time 0.522 (0.250)	Data 0.471 (0.186)	Loss 4.9688 (4.9989)	Prec@1 4.297 (4.772)	Prec@5 16.797 (16.255)
Epoch: [27][4350/7045]	Time 0.102 (0.250)	Data 0.049 (0.186)	Loss 4.9204 (4.9989)	Prec@1 5.469 (4.771)	Prec@5 16.797 (16.255)
Epoch: [27][4360/7045]	Time 0.579 (0.250)	Data 0.528 (0.186)	Loss 5.0893 (4.9990)	Prec@1 1.562 (4.769)	Prec@5 12.500 (16.252)
Epoch: [27][4370/7045]	Time 0.108 (0.250)	Data 0.002 (0.186)	Loss 5.1956 (4.9993)	Prec@1 4.297 (4.768)	Prec@5 13.281 (16.248)
Epoch: [27][4380/7045]	Time 0.608 (0.250)	Data 0.556 (0.186)	Loss 4.9394 (4.9993)	Prec@1 3.125 (4.767)	Prec@5 15.625 (16.245)
Epoch: [27][4390/7045]	Time 0.101 (0.250)	Data 0.003 (0.186)	Loss 4.8760 (4.9992)	Prec@1 5.859 (4.770)	Prec@5 19.531 (16.250)
Epoch: [27][4400/7045]	Time 0.668 (0.250)	Data 0.609 (0.186)	Loss 5.0825 (4.9992)	Prec@1 3.125 (4.769)	Prec@5 14.844 (16.250)
Epoch: [27][4410/7045]	Time 0.101 (0.250)	Data 0.001 (0.185)	Loss 5.0569 (4.9993)	Prec@1 5.078 (4.768)	Prec@5 14.062 (16.248)
Epoch: [27][4420/7045]	Time 0.637 (0.250)	Data 0.586 (0.185)	Loss 5.1154 (4.9993)	Prec@1 4.297 (4.768)	Prec@5 13.281 (16.249)
Epoch: [27][4430/7045]	Time 0.104 (0.250)	Data 0.001 (0.185)	Loss 5.0941 (4.9993)	Prec@1 4.297 (4.767)	Prec@5 13.672 (16.249)
Epoch: [27][4440/7045]	Time 0.711 (0.250)	Data 0.659 (0.185)	Loss 5.0229 (4.9992)	Prec@1 4.688 (4.768)	Prec@5 14.844 (16.250)
Epoch: [27][4450/7045]	Time 0.122 (0.250)	Data 0.071 (0.185)	Loss 5.0977 (4.9992)	Prec@1 3.906 (4.767)	Prec@5 15.625 (16.248)
Epoch: [27][4460/7045]	Time 0.526 (0.250)	Data 0.475 (0.185)	Loss 5.0858 (4.9992)	Prec@1 6.641 (4.768)	Prec@5 16.797 (16.251)
Epoch: [27][4470/7045]	Time 0.285 (0.250)	Data 0.233 (0.185)	Loss 4.9707 (4.9992)	Prec@1 7.422 (4.768)	Prec@5 16.016 (16.252)
Epoch: [27][4480/7045]	Time 0.428 (0.250)	Data 0.377 (0.185)	Loss 4.9863 (4.9992)	Prec@1 3.125 (4.768)	Prec@5 15.625 (16.252)
Epoch: [27][4490/7045]	Time 0.308 (0.250)	Data 0.257 (0.185)	Loss 5.0403 (4.9991)	Prec@1 3.516 (4.768)	Prec@5 14.062 (16.253)
Epoch: [27][4500/7045]	Time 0.570 (0.250)	Data 0.520 (0.185)	Loss 5.0282 (4.9991)	Prec@1 4.688 (4.769)	Prec@5 18.359 (16.256)
Epoch: [27][4510/7045]	Time 0.101 (0.250)	Data 0.001 (0.185)	Loss 5.0554 (4.9991)	Prec@1 5.078 (4.768)	Prec@5 14.062 (16.257)
Epoch: [27][4520/7045]	Time 0.578 (0.250)	Data 0.527 (0.185)	Loss 4.9174 (4.9989)	Prec@1 4.688 (4.770)	Prec@5 16.406 (16.261)
Epoch: [27][4530/7045]	Time 0.102 (0.250)	Data 0.006 (0.185)	Loss 5.0341 (4.9990)	Prec@1 2.344 (4.768)	Prec@5 16.797 (16.260)
Epoch: [27][4540/7045]	Time 0.476 (0.250)	Data 0.425 (0.185)	Loss 5.1037 (4.9993)	Prec@1 3.906 (4.765)	Prec@5 13.672 (16.257)
Epoch: [27][4550/7045]	Time 0.226 (0.250)	Data 0.175 (0.185)	Loss 5.1611 (4.9994)	Prec@1 3.516 (4.765)	Prec@5 12.109 (16.255)
Epoch: [27][4560/7045]	Time 0.427 (0.250)	Data 0.367 (0.185)	Loss 5.2457 (4.9995)	Prec@1 2.344 (4.765)	Prec@5 12.891 (16.252)
Epoch: [27][4570/7045]	Time 0.493 (0.250)	Data 0.440 (0.185)	Loss 4.9780 (4.9996)	Prec@1 5.469 (4.765)	Prec@5 15.234 (16.250)
Epoch: [27][4580/7045]	Time 0.111 (0.250)	Data 0.001 (0.185)	Loss 4.9194 (4.9995)	Prec@1 5.859 (4.764)	Prec@5 17.578 (16.250)
Epoch: [27][4590/7045]	Time 0.598 (0.250)	Data 0.546 (0.185)	Loss 4.9003 (4.9996)	Prec@1 7.422 (4.765)	Prec@5 20.312 (16.250)
Epoch: [27][4600/7045]	Time 0.110 (0.250)	Data 0.001 (0.185)	Loss 4.9504 (4.9996)	Prec@1 3.516 (4.764)	Prec@5 15.625 (16.249)
Epoch: [27][4610/7045]	Time 0.603 (0.250)	Data 0.550 (0.185)	Loss 4.9651 (4.9996)	Prec@1 3.906 (4.764)	Prec@5 16.797 (16.250)
Epoch: [27][4620/7045]	Time 0.138 (0.250)	Data 0.087 (0.185)	Loss 4.9490 (4.9996)	Prec@1 8.203 (4.765)	Prec@5 17.188 (16.252)
Epoch: [27][4630/7045]	Time 0.665 (0.250)	Data 0.608 (0.185)	Loss 5.1050 (4.9995)	Prec@1 4.688 (4.765)	Prec@5 15.625 (16.254)
Epoch: [27][4640/7045]	Time 0.123 (0.250)	Data 0.069 (0.185)	Loss 5.0880 (4.9995)	Prec@1 4.297 (4.767)	Prec@5 16.797 (16.257)
Epoch: [27][4650/7045]	Time 0.446 (0.250)	Data 0.395 (0.185)	Loss 5.0574 (4.9995)	Prec@1 4.297 (4.766)	Prec@5 13.281 (16.257)
Epoch: [27][4660/7045]	Time 0.209 (0.250)	Data 0.158 (0.185)	Loss 4.8225 (4.9994)	Prec@1 5.469 (4.767)	Prec@5 19.922 (16.260)
Epoch: [27][4670/7045]	Time 0.582 (0.250)	Data 0.532 (0.185)	Loss 4.9511 (4.9994)	Prec@1 3.125 (4.767)	Prec@5 16.406 (16.261)
Epoch: [27][4680/7045]	Time 0.106 (0.250)	Data 0.053 (0.185)	Loss 5.1074 (4.9993)	Prec@1 3.906 (4.768)	Prec@5 14.844 (16.264)
Epoch: [27][4690/7045]	Time 0.460 (0.250)	Data 0.409 (0.185)	Loss 4.9893 (4.9994)	Prec@1 4.688 (4.767)	Prec@5 21.094 (16.263)
Epoch: [27][4700/7045]	Time 0.110 (0.250)	Data 0.018 (0.185)	Loss 5.0037 (4.9994)	Prec@1 3.906 (4.766)	Prec@5 18.750 (16.265)
Epoch: [27][4710/7045]	Time 0.334 (0.250)	Data 0.283 (0.185)	Loss 5.1067 (4.9995)	Prec@1 2.734 (4.765)	Prec@5 15.234 (16.262)
Epoch: [27][4720/7045]	Time 0.100 (0.249)	Data 0.016 (0.185)	Loss 5.0094 (4.9996)	Prec@1 3.906 (4.764)	Prec@5 14.844 (16.259)
Epoch: [27][4730/7045]	Time 0.133 (0.249)	Data 0.080 (0.185)	Loss 4.9810 (4.9997)	Prec@1 4.688 (4.763)	Prec@5 16.406 (16.256)
Epoch: [27][4740/7045]	Time 0.100 (0.249)	Data 0.009 (0.185)	Loss 4.8836 (4.9996)	Prec@1 4.688 (4.765)	Prec@5 18.750 (16.257)
Epoch: [27][4750/7045]	Time 0.100 (0.249)	Data 0.045 (0.185)	Loss 4.8921 (4.9996)	Prec@1 5.469 (4.766)	Prec@5 18.750 (16.256)
Epoch: [27][4760/7045]	Time 0.212 (0.249)	Data 0.162 (0.185)	Loss 5.1358 (4.9995)	Prec@1 3.125 (4.765)	Prec@5 13.672 (16.257)
Epoch: [27][4770/7045]	Time 0.374 (0.249)	Data 0.324 (0.185)	Loss 5.0157 (4.9994)	Prec@1 3.125 (4.766)	Prec@5 13.672 (16.260)
Epoch: [27][4780/7045]	Time 0.177 (0.249)	Data 0.125 (0.185)	Loss 4.8920 (4.9994)	Prec@1 6.641 (4.767)	Prec@5 21.094 (16.264)
Epoch: [27][4790/7045]	Time 0.283 (0.249)	Data 0.230 (0.185)	Loss 4.9906 (4.9993)	Prec@1 5.469 (4.768)	Prec@5 16.797 (16.267)
Epoch: [27][4800/7045]	Time 0.101 (0.249)	Data 0.014 (0.185)	Loss 4.9302 (4.9992)	Prec@1 5.859 (4.771)	Prec@5 16.406 (16.270)
Epoch: [27][4810/7045]	Time 0.103 (0.249)	Data 0.001 (0.185)	Loss 4.9862 (4.9992)	Prec@1 7.031 (4.773)	Prec@5 19.922 (16.272)
Epoch: [27][4820/7045]	Time 0.119 (0.249)	Data 0.067 (0.185)	Loss 4.8711 (4.9991)	Prec@1 9.375 (4.775)	Prec@5 22.266 (16.272)
Epoch: [27][4830/7045]	Time 0.102 (0.249)	Data 0.050 (0.185)	Loss 5.0106 (4.9990)	Prec@1 3.516 (4.776)	Prec@5 12.109 (16.273)
Epoch: [27][4840/7045]	Time 0.103 (0.249)	Data 0.051 (0.185)	Loss 4.9248 (4.9989)	Prec@1 4.297 (4.776)	Prec@5 17.578 (16.273)
Epoch: [27][4850/7045]	Time 0.281 (0.249)	Data 0.229 (0.185)	Loss 4.9100 (4.9988)	Prec@1 3.906 (4.776)	Prec@5 15.625 (16.273)
Epoch: [27][4860/7045]	Time 0.115 (0.249)	Data 0.065 (0.185)	Loss 4.9910 (4.9987)	Prec@1 4.297 (4.779)	Prec@5 16.797 (16.276)
Epoch: [27][4870/7045]	Time 0.566 (0.250)	Data 0.516 (0.185)	Loss 5.0532 (4.9988)	Prec@1 8.594 (4.780)	Prec@5 16.016 (16.275)
Epoch: [27][4880/7045]	Time 0.148 (0.249)	Data 0.098 (0.185)	Loss 4.9293 (4.9988)	Prec@1 5.469 (4.780)	Prec@5 16.406 (16.274)
Epoch: [27][4890/7045]	Time 0.206 (0.250)	Data 0.155 (0.185)	Loss 4.7995 (4.9987)	Prec@1 5.859 (4.780)	Prec@5 19.141 (16.275)
Epoch: [27][4900/7045]	Time 0.635 (0.250)	Data 0.584 (0.185)	Loss 4.9125 (4.9986)	Prec@1 5.469 (4.780)	Prec@5 19.141 (16.278)
Epoch: [27][4910/7045]	Time 0.103 (0.250)	Data 0.001 (0.185)	Loss 4.8899 (4.9985)	Prec@1 7.031 (4.781)	Prec@5 15.234 (16.280)
Epoch: [27][4920/7045]	Time 0.513 (0.250)	Data 0.454 (0.185)	Loss 4.9126 (4.9986)	Prec@1 5.859 (4.780)	Prec@5 16.406 (16.278)
Epoch: [27][4930/7045]	Time 0.127 (0.250)	Data 0.076 (0.185)	Loss 5.0705 (4.9985)	Prec@1 3.906 (4.781)	Prec@5 13.672 (16.278)
Epoch: [27][4940/7045]	Time 0.563 (0.250)	Data 0.512 (0.185)	Loss 4.9005 (4.9986)	Prec@1 9.375 (4.783)	Prec@5 17.578 (16.279)
Epoch: [27][4950/7045]	Time 0.420 (0.250)	Data 0.370 (0.185)	Loss 5.1369 (4.9987)	Prec@1 2.734 (4.782)	Prec@5 14.062 (16.275)
Epoch: [27][4960/7045]	Time 0.226 (0.250)	Data 0.169 (0.185)	Loss 5.0960 (4.9987)	Prec@1 2.734 (4.782)	Prec@5 17.188 (16.275)
Epoch: [27][4970/7045]	Time 0.342 (0.250)	Data 0.291 (0.185)	Loss 4.9701 (4.9986)	Prec@1 6.641 (4.782)	Prec@5 17.578 (16.277)
Epoch: [27][4980/7045]	Time 0.108 (0.250)	Data 0.055 (0.185)	Loss 5.0482 (4.9985)	Prec@1 4.688 (4.782)	Prec@5 14.062 (16.278)
Epoch: [27][4990/7045]	Time 0.101 (0.250)	Data 0.008 (0.185)	Loss 5.0236 (4.9984)	Prec@1 5.469 (4.784)	Prec@5 17.188 (16.283)
Epoch: [27][5000/7045]	Time 0.104 (0.250)	Data 0.052 (0.185)	Loss 5.0608 (4.9984)	Prec@1 4.688 (4.785)	Prec@5 14.062 (16.283)
Epoch: [27][5010/7045]	Time 0.115 (0.250)	Data 0.063 (0.185)	Loss 5.1294 (4.9984)	Prec@1 3.125 (4.786)	Prec@5 14.844 (16.283)
Epoch: [27][5020/7045]	Time 0.110 (0.250)	Data 0.056 (0.185)	Loss 4.8326 (4.9984)	Prec@1 7.031 (4.786)	Prec@5 18.359 (16.285)
Epoch: [27][5030/7045]	Time 0.109 (0.250)	Data 0.046 (0.185)	Loss 4.9832 (4.9984)	Prec@1 6.641 (4.786)	Prec@5 17.578 (16.286)
Epoch: [27][5040/7045]	Time 0.101 (0.249)	Data 0.012 (0.185)	Loss 5.0193 (4.9985)	Prec@1 6.641 (4.785)	Prec@5 17.188 (16.285)
Epoch: [27][5050/7045]	Time 0.107 (0.250)	Data 0.001 (0.185)	Loss 4.9797 (4.9985)	Prec@1 6.250 (4.785)	Prec@5 18.750 (16.285)
Epoch: [27][5060/7045]	Time 0.100 (0.249)	Data 0.002 (0.185)	Loss 4.9260 (4.9984)	Prec@1 3.516 (4.784)	Prec@5 15.234 (16.286)
Epoch: [27][5070/7045]	Time 0.180 (0.249)	Data 0.122 (0.185)	Loss 4.9440 (4.9985)	Prec@1 6.250 (4.784)	Prec@5 19.141 (16.285)
Epoch: [27][5080/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.8503 (4.9984)	Prec@1 4.688 (4.785)	Prec@5 21.484 (16.286)
Epoch: [27][5090/7045]	Time 0.120 (0.249)	Data 0.068 (0.185)	Loss 5.1765 (4.9984)	Prec@1 4.297 (4.786)	Prec@5 14.844 (16.287)
Epoch: [27][5100/7045]	Time 0.101 (0.249)	Data 0.048 (0.185)	Loss 5.0589 (4.9985)	Prec@1 3.906 (4.785)	Prec@5 16.016 (16.286)
Epoch: [27][5110/7045]	Time 0.219 (0.249)	Data 0.168 (0.185)	Loss 4.8933 (4.9984)	Prec@1 5.469 (4.786)	Prec@5 17.969 (16.286)
Epoch: [27][5120/7045]	Time 0.102 (0.249)	Data 0.049 (0.185)	Loss 5.1267 (4.9985)	Prec@1 3.906 (4.786)	Prec@5 16.797 (16.286)
Epoch: [27][5130/7045]	Time 0.367 (0.249)	Data 0.316 (0.185)	Loss 5.0200 (4.9986)	Prec@1 5.078 (4.785)	Prec@5 17.578 (16.284)
Epoch: [27][5140/7045]	Time 0.173 (0.249)	Data 0.121 (0.185)	Loss 5.0264 (4.9986)	Prec@1 5.078 (4.787)	Prec@5 17.578 (16.284)
Epoch: [27][5150/7045]	Time 0.400 (0.249)	Data 0.349 (0.185)	Loss 4.9351 (4.9986)	Prec@1 7.422 (4.787)	Prec@5 21.094 (16.283)
Epoch: [27][5160/7045]	Time 0.241 (0.249)	Data 0.189 (0.185)	Loss 4.8952 (4.9986)	Prec@1 7.031 (4.788)	Prec@5 18.750 (16.284)
Epoch: [27][5170/7045]	Time 0.284 (0.249)	Data 0.233 (0.185)	Loss 5.0770 (4.9986)	Prec@1 5.078 (4.789)	Prec@5 14.844 (16.284)
Epoch: [27][5180/7045]	Time 0.103 (0.249)	Data 0.052 (0.185)	Loss 5.0188 (4.9987)	Prec@1 2.734 (4.788)	Prec@5 12.109 (16.281)
Epoch: [27][5190/7045]	Time 0.341 (0.249)	Data 0.289 (0.185)	Loss 5.0384 (4.9988)	Prec@1 3.125 (4.787)	Prec@5 14.844 (16.276)
Epoch: [27][5200/7045]	Time 0.103 (0.249)	Data 0.001 (0.185)	Loss 5.1175 (4.9991)	Prec@1 5.469 (4.786)	Prec@5 14.453 (16.272)
Epoch: [27][5210/7045]	Time 0.395 (0.249)	Data 0.337 (0.185)	Loss 4.9774 (4.9991)	Prec@1 6.250 (4.786)	Prec@5 17.969 (16.271)
Epoch: [27][5220/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.7923 (4.9990)	Prec@1 6.641 (4.786)	Prec@5 21.094 (16.272)
Epoch: [27][5230/7045]	Time 0.537 (0.249)	Data 0.484 (0.185)	Loss 4.9299 (4.9990)	Prec@1 4.297 (4.786)	Prec@5 16.016 (16.274)
Epoch: [27][5240/7045]	Time 0.101 (0.249)	Data 0.002 (0.185)	Loss 4.8476 (4.9990)	Prec@1 3.516 (4.786)	Prec@5 17.969 (16.274)
Epoch: [27][5250/7045]	Time 0.598 (0.249)	Data 0.546 (0.185)	Loss 4.8888 (4.9990)	Prec@1 5.078 (4.784)	Prec@5 20.312 (16.273)
Epoch: [27][5260/7045]	Time 0.110 (0.249)	Data 0.001 (0.185)	Loss 5.0741 (4.9991)	Prec@1 4.297 (4.784)	Prec@5 15.625 (16.269)
Epoch: [27][5270/7045]	Time 0.409 (0.249)	Data 0.349 (0.185)	Loss 4.9610 (4.9992)	Prec@1 3.906 (4.783)	Prec@5 20.312 (16.268)
Epoch: [27][5280/7045]	Time 0.262 (0.249)	Data 0.205 (0.185)	Loss 4.9189 (4.9993)	Prec@1 8.984 (4.783)	Prec@5 19.141 (16.267)
Epoch: [27][5290/7045]	Time 0.483 (0.249)	Data 0.427 (0.185)	Loss 4.9277 (4.9993)	Prec@1 2.344 (4.783)	Prec@5 14.844 (16.270)
Epoch: [27][5300/7045]	Time 0.146 (0.249)	Data 0.094 (0.185)	Loss 5.1602 (4.9994)	Prec@1 3.125 (4.784)	Prec@5 10.547 (16.267)
Epoch: [27][5310/7045]	Time 0.362 (0.249)	Data 0.311 (0.185)	Loss 4.9331 (4.9994)	Prec@1 5.469 (4.784)	Prec@5 18.750 (16.269)
Epoch: [27][5320/7045]	Time 0.108 (0.249)	Data 0.056 (0.185)	Loss 4.9273 (4.9994)	Prec@1 4.688 (4.783)	Prec@5 18.750 (16.269)
Epoch: [27][5330/7045]	Time 0.211 (0.249)	Data 0.159 (0.185)	Loss 4.9200 (4.9994)	Prec@1 5.859 (4.785)	Prec@5 18.359 (16.271)
Epoch: [27][5340/7045]	Time 0.106 (0.249)	Data 0.014 (0.185)	Loss 5.1170 (4.9993)	Prec@1 4.297 (4.784)	Prec@5 16.016 (16.271)
Epoch: [27][5350/7045]	Time 0.111 (0.249)	Data 0.057 (0.185)	Loss 5.0145 (4.9994)	Prec@1 5.078 (4.783)	Prec@5 14.062 (16.270)
Epoch: [27][5360/7045]	Time 0.100 (0.249)	Data 0.015 (0.185)	Loss 5.0012 (4.9993)	Prec@1 5.469 (4.783)	Prec@5 16.406 (16.272)
Epoch: [27][5370/7045]	Time 0.101 (0.249)	Data 0.003 (0.185)	Loss 5.0897 (4.9994)	Prec@1 3.516 (4.783)	Prec@5 14.844 (16.269)
Epoch: [27][5380/7045]	Time 0.101 (0.249)	Data 0.009 (0.185)	Loss 5.0290 (4.9994)	Prec@1 3.125 (4.781)	Prec@5 16.406 (16.268)
Epoch: [27][5390/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.9496 (4.9993)	Prec@1 5.078 (4.782)	Prec@5 16.406 (16.272)
Epoch: [27][5400/7045]	Time 0.106 (0.249)	Data 0.054 (0.185)	Loss 4.9500 (4.9992)	Prec@1 5.078 (4.782)	Prec@5 16.016 (16.272)
Epoch: [27][5410/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 5.0767 (4.9992)	Prec@1 4.297 (4.783)	Prec@5 15.625 (16.272)
Epoch: [27][5420/7045]	Time 0.177 (0.249)	Data 0.125 (0.185)	Loss 4.8797 (4.9992)	Prec@1 8.203 (4.782)	Prec@5 20.703 (16.271)
Epoch: [27][5430/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 5.0666 (4.9991)	Prec@1 3.516 (4.784)	Prec@5 12.891 (16.274)
Epoch: [27][5440/7045]	Time 0.168 (0.249)	Data 0.110 (0.185)	Loss 4.9641 (4.9991)	Prec@1 4.297 (4.784)	Prec@5 15.625 (16.274)
Epoch: [27][5450/7045]	Time 0.124 (0.249)	Data 0.072 (0.185)	Loss 4.8607 (4.9990)	Prec@1 3.516 (4.784)	Prec@5 16.016 (16.274)
Epoch: [27][5460/7045]	Time 0.218 (0.249)	Data 0.167 (0.185)	Loss 5.0100 (4.9990)	Prec@1 5.859 (4.783)	Prec@5 17.578 (16.275)
Epoch: [27][5470/7045]	Time 0.111 (0.249)	Data 0.060 (0.185)	Loss 4.9097 (4.9989)	Prec@1 4.688 (4.783)	Prec@5 17.188 (16.276)
Epoch: [27][5480/7045]	Time 0.238 (0.249)	Data 0.188 (0.185)	Loss 5.0319 (4.9988)	Prec@1 5.859 (4.784)	Prec@5 17.188 (16.275)
Epoch: [27][5490/7045]	Time 0.101 (0.249)	Data 0.047 (0.185)	Loss 4.9351 (4.9988)	Prec@1 6.250 (4.786)	Prec@5 18.750 (16.275)
Epoch: [27][5500/7045]	Time 0.107 (0.249)	Data 0.055 (0.185)	Loss 4.9776 (4.9988)	Prec@1 8.984 (4.787)	Prec@5 19.922 (16.275)
Epoch: [27][5510/7045]	Time 0.240 (0.249)	Data 0.187 (0.185)	Loss 4.9802 (4.9987)	Prec@1 6.641 (4.788)	Prec@5 19.922 (16.276)
Epoch: [27][5520/7045]	Time 0.108 (0.249)	Data 0.056 (0.185)	Loss 4.9727 (4.9986)	Prec@1 6.250 (4.790)	Prec@5 18.750 (16.278)
Epoch: [27][5530/7045]	Time 0.228 (0.249)	Data 0.176 (0.185)	Loss 4.9313 (4.9985)	Prec@1 7.031 (4.791)	Prec@5 16.797 (16.281)
Epoch: [27][5540/7045]	Time 0.100 (0.249)	Data 0.050 (0.185)	Loss 5.0696 (4.9985)	Prec@1 6.641 (4.792)	Prec@5 16.016 (16.282)
Epoch: [27][5550/7045]	Time 0.110 (0.249)	Data 0.058 (0.185)	Loss 4.9006 (4.9984)	Prec@1 7.031 (4.792)	Prec@5 21.094 (16.283)
Epoch: [27][5560/7045]	Time 0.234 (0.249)	Data 0.182 (0.185)	Loss 5.0781 (4.9984)	Prec@1 6.641 (4.793)	Prec@5 16.016 (16.282)
Epoch: [27][5570/7045]	Time 0.100 (0.249)	Data 0.020 (0.185)	Loss 4.9453 (4.9984)	Prec@1 6.641 (4.793)	Prec@5 17.188 (16.281)
Epoch: [27][5580/7045]	Time 0.251 (0.249)	Data 0.198 (0.185)	Loss 4.8674 (4.9983)	Prec@1 4.297 (4.793)	Prec@5 18.359 (16.282)
Epoch: [27][5590/7045]	Time 0.102 (0.249)	Data 0.004 (0.185)	Loss 5.0414 (4.9985)	Prec@1 3.906 (4.791)	Prec@5 12.500 (16.279)
Epoch: [27][5600/7045]	Time 0.183 (0.249)	Data 0.132 (0.185)	Loss 5.1127 (4.9985)	Prec@1 4.297 (4.792)	Prec@5 15.234 (16.281)
Epoch: [27][5610/7045]	Time 0.102 (0.249)	Data 0.011 (0.185)	Loss 5.0466 (4.9984)	Prec@1 6.250 (4.793)	Prec@5 15.234 (16.282)
Epoch: [27][5620/7045]	Time 0.190 (0.249)	Data 0.139 (0.185)	Loss 4.9523 (4.9985)	Prec@1 4.688 (4.793)	Prec@5 19.141 (16.282)
Epoch: [27][5630/7045]	Time 0.101 (0.249)	Data 0.017 (0.185)	Loss 5.0949 (4.9986)	Prec@1 4.297 (4.793)	Prec@5 16.406 (16.281)
Epoch: [27][5640/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 4.8748 (4.9984)	Prec@1 6.250 (4.792)	Prec@5 19.922 (16.283)
Epoch: [27][5650/7045]	Time 0.101 (0.249)	Data 0.012 (0.185)	Loss 4.9672 (4.9984)	Prec@1 5.078 (4.792)	Prec@5 16.797 (16.282)
Epoch: [27][5660/7045]	Time 0.102 (0.249)	Data 0.050 (0.185)	Loss 5.0088 (4.9985)	Prec@1 4.688 (4.792)	Prec@5 16.016 (16.283)
Epoch: [27][5670/7045]	Time 0.117 (0.249)	Data 0.066 (0.185)	Loss 5.0323 (4.9984)	Prec@1 3.906 (4.792)	Prec@5 16.797 (16.282)
Epoch: [27][5680/7045]	Time 0.175 (0.249)	Data 0.124 (0.185)	Loss 5.1132 (4.9984)	Prec@1 6.641 (4.792)	Prec@5 15.234 (16.282)
Epoch: [27][5690/7045]	Time 0.255 (0.249)	Data 0.203 (0.185)	Loss 5.2245 (4.9985)	Prec@1 3.516 (4.791)	Prec@5 13.672 (16.282)
Epoch: [27][5700/7045]	Time 0.561 (0.249)	Data 0.503 (0.185)	Loss 5.1094 (4.9986)	Prec@1 2.734 (4.790)	Prec@5 14.453 (16.281)
Epoch: [27][5710/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 5.1502 (4.9988)	Prec@1 2.734 (4.788)	Prec@5 13.281 (16.276)
Epoch: [27][5720/7045]	Time 0.434 (0.249)	Data 0.382 (0.185)	Loss 4.9791 (4.9988)	Prec@1 4.297 (4.788)	Prec@5 16.797 (16.276)
Epoch: [27][5730/7045]	Time 0.103 (0.249)	Data 0.047 (0.185)	Loss 5.1026 (4.9989)	Prec@1 2.734 (4.787)	Prec@5 14.844 (16.275)
Epoch: [27][5740/7045]	Time 0.431 (0.249)	Data 0.379 (0.185)	Loss 5.0156 (4.9990)	Prec@1 5.078 (4.788)	Prec@5 16.797 (16.274)
Epoch: [27][5750/7045]	Time 0.170 (0.249)	Data 0.118 (0.185)	Loss 4.9836 (4.9990)	Prec@1 4.688 (4.788)	Prec@5 16.016 (16.274)
Epoch: [27][5760/7045]	Time 0.795 (0.249)	Data 0.743 (0.185)	Loss 4.7580 (4.9990)	Prec@1 8.984 (4.789)	Prec@5 20.703 (16.274)
Epoch: [27][5770/7045]	Time 0.100 (0.249)	Data 0.001 (0.185)	Loss 4.9770 (4.9991)	Prec@1 6.250 (4.788)	Prec@5 16.016 (16.273)
Epoch: [27][5780/7045]	Time 0.751 (0.249)	Data 0.698 (0.185)	Loss 4.9601 (4.9990)	Prec@1 5.078 (4.788)	Prec@5 18.750 (16.273)
Epoch: [27][5790/7045]	Time 0.161 (0.249)	Data 0.109 (0.185)	Loss 4.8896 (4.9989)	Prec@1 5.859 (4.789)	Prec@5 20.312 (16.276)
Epoch: [27][5800/7045]	Time 0.538 (0.249)	Data 0.482 (0.185)	Loss 4.9759 (4.9990)	Prec@1 5.078 (4.789)	Prec@5 18.359 (16.275)
Epoch: [27][5810/7045]	Time 0.111 (0.249)	Data 0.059 (0.185)	Loss 4.9611 (4.9990)	Prec@1 2.734 (4.788)	Prec@5 16.016 (16.275)
Epoch: [27][5820/7045]	Time 0.149 (0.249)	Data 0.097 (0.185)	Loss 4.9923 (4.9989)	Prec@1 5.469 (4.788)	Prec@5 11.328 (16.275)
Epoch: [27][5830/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 4.9181 (4.9989)	Prec@1 3.125 (4.788)	Prec@5 16.797 (16.275)
Epoch: [27][5840/7045]	Time 0.149 (0.249)	Data 0.097 (0.185)	Loss 4.8799 (4.9989)	Prec@1 7.031 (4.789)	Prec@5 15.625 (16.276)
Epoch: [27][5850/7045]	Time 0.203 (0.249)	Data 0.152 (0.185)	Loss 4.9975 (4.9989)	Prec@1 1.562 (4.788)	Prec@5 12.109 (16.273)
Epoch: [27][5860/7045]	Time 0.467 (0.249)	Data 0.415 (0.185)	Loss 4.9004 (4.9990)	Prec@1 3.516 (4.786)	Prec@5 16.797 (16.270)
Epoch: [27][5870/7045]	Time 0.211 (0.249)	Data 0.151 (0.185)	Loss 4.9761 (4.9990)	Prec@1 5.859 (4.786)	Prec@5 16.016 (16.272)
Epoch: [27][5880/7045]	Time 0.463 (0.249)	Data 0.412 (0.185)	Loss 4.9511 (4.9989)	Prec@1 5.859 (4.787)	Prec@5 16.797 (16.273)
Epoch: [27][5890/7045]	Time 0.102 (0.249)	Data 0.012 (0.185)	Loss 4.9272 (4.9990)	Prec@1 4.688 (4.786)	Prec@5 16.797 (16.271)
Epoch: [27][5900/7045]	Time 0.249 (0.249)	Data 0.199 (0.185)	Loss 5.1304 (4.9990)	Prec@1 6.250 (4.786)	Prec@5 14.062 (16.271)
Epoch: [27][5910/7045]	Time 0.325 (0.249)	Data 0.274 (0.185)	Loss 5.0734 (4.9991)	Prec@1 3.906 (4.784)	Prec@5 13.281 (16.268)
Epoch: [27][5920/7045]	Time 0.223 (0.249)	Data 0.163 (0.185)	Loss 4.9614 (4.9992)	Prec@1 4.297 (4.784)	Prec@5 17.188 (16.267)
Epoch: [27][5930/7045]	Time 0.643 (0.249)	Data 0.591 (0.185)	Loss 5.2181 (4.9993)	Prec@1 5.469 (4.784)	Prec@5 12.891 (16.265)
Epoch: [27][5940/7045]	Time 0.128 (0.249)	Data 0.078 (0.185)	Loss 4.9918 (4.9993)	Prec@1 3.906 (4.784)	Prec@5 13.672 (16.263)
Epoch: [27][5950/7045]	Time 0.489 (0.249)	Data 0.432 (0.185)	Loss 5.0459 (4.9994)	Prec@1 4.297 (4.784)	Prec@5 15.625 (16.262)
Epoch: [27][5960/7045]	Time 0.333 (0.249)	Data 0.282 (0.185)	Loss 5.0429 (4.9994)	Prec@1 3.516 (4.784)	Prec@5 15.234 (16.263)
Epoch: [27][5970/7045]	Time 0.102 (0.249)	Data 0.022 (0.185)	Loss 5.0040 (4.9994)	Prec@1 5.078 (4.784)	Prec@5 14.453 (16.263)
Epoch: [27][5980/7045]	Time 0.219 (0.249)	Data 0.169 (0.185)	Loss 5.0636 (4.9995)	Prec@1 5.859 (4.784)	Prec@5 14.062 (16.262)
Epoch: [27][5990/7045]	Time 0.101 (0.249)	Data 0.009 (0.185)	Loss 5.1107 (4.9995)	Prec@1 3.125 (4.784)	Prec@5 14.844 (16.260)
Epoch: [27][6000/7045]	Time 0.287 (0.249)	Data 0.236 (0.185)	Loss 5.1982 (4.9995)	Prec@1 3.125 (4.784)	Prec@5 12.109 (16.260)
Epoch: [27][6010/7045]	Time 0.103 (0.249)	Data 0.001 (0.185)	Loss 5.0054 (4.9995)	Prec@1 6.641 (4.784)	Prec@5 15.625 (16.260)
Epoch: [27][6020/7045]	Time 0.101 (0.249)	Data 0.013 (0.185)	Loss 4.8833 (4.9995)	Prec@1 8.984 (4.784)	Prec@5 18.750 (16.262)
Epoch: [27][6030/7045]	Time 0.399 (0.249)	Data 0.348 (0.185)	Loss 5.2107 (4.9997)	Prec@1 5.078 (4.783)	Prec@5 10.547 (16.259)
Epoch: [27][6040/7045]	Time 0.290 (0.249)	Data 0.230 (0.185)	Loss 5.0633 (4.9997)	Prec@1 3.516 (4.784)	Prec@5 14.844 (16.259)
Epoch: [27][6050/7045]	Time 0.216 (0.249)	Data 0.164 (0.185)	Loss 4.8400 (4.9996)	Prec@1 6.250 (4.784)	Prec@5 18.750 (16.259)
Epoch: [27][6060/7045]	Time 0.102 (0.249)	Data 0.050 (0.185)	Loss 4.9929 (4.9996)	Prec@1 4.688 (4.785)	Prec@5 16.797 (16.259)
Epoch: [27][6070/7045]	Time 0.386 (0.249)	Data 0.326 (0.185)	Loss 4.8683 (4.9996)	Prec@1 5.469 (4.784)	Prec@5 21.875 (16.259)
Epoch: [27][6080/7045]	Time 0.110 (0.249)	Data 0.007 (0.185)	Loss 5.0509 (4.9997)	Prec@1 4.688 (4.784)	Prec@5 18.750 (16.259)
Epoch: [27][6090/7045]	Time 0.592 (0.249)	Data 0.540 (0.185)	Loss 4.9683 (4.9997)	Prec@1 4.297 (4.784)	Prec@5 17.188 (16.258)
Epoch: [27][6100/7045]	Time 0.100 (0.249)	Data 0.006 (0.185)	Loss 5.0023 (4.9998)	Prec@1 5.469 (4.783)	Prec@5 17.578 (16.256)
Epoch: [27][6110/7045]	Time 0.334 (0.249)	Data 0.274 (0.185)	Loss 5.0589 (4.9999)	Prec@1 7.422 (4.782)	Prec@5 20.312 (16.254)
Epoch: [27][6120/7045]	Time 0.101 (0.249)	Data 0.049 (0.185)	Loss 5.0405 (4.9999)	Prec@1 3.906 (4.783)	Prec@5 12.500 (16.254)
Epoch: [27][6130/7045]	Time 0.109 (0.249)	Data 0.012 (0.185)	Loss 4.9994 (4.9998)	Prec@1 4.688 (4.782)	Prec@5 16.406 (16.255)
Epoch: [27][6140/7045]	Time 0.320 (0.249)	Data 0.267 (0.185)	Loss 4.9488 (4.9999)	Prec@1 4.297 (4.781)	Prec@5 17.969 (16.254)
Epoch: [27][6150/7045]	Time 0.116 (0.249)	Data 0.065 (0.185)	Loss 4.9001 (4.9999)	Prec@1 4.688 (4.781)	Prec@5 21.484 (16.256)
Epoch: [27][6160/7045]	Time 0.572 (0.249)	Data 0.520 (0.185)	Loss 4.9236 (4.9998)	Prec@1 5.469 (4.782)	Prec@5 17.578 (16.257)
Epoch: [27][6170/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 5.0992 (4.9998)	Prec@1 5.469 (4.782)	Prec@5 13.672 (16.257)
Epoch: [27][6180/7045]	Time 0.646 (0.249)	Data 0.590 (0.185)	Loss 5.0743 (4.9998)	Prec@1 3.516 (4.783)	Prec@5 12.891 (16.258)
Epoch: [27][6190/7045]	Time 0.099 (0.249)	Data 0.045 (0.185)	Loss 4.9692 (4.9998)	Prec@1 5.859 (4.783)	Prec@5 17.969 (16.257)
Epoch: [27][6200/7045]	Time 0.649 (0.249)	Data 0.599 (0.185)	Loss 4.9554 (4.9999)	Prec@1 4.688 (4.782)	Prec@5 22.266 (16.257)
Epoch: [27][6210/7045]	Time 0.103 (0.249)	Data 0.001 (0.185)	Loss 4.9901 (4.9999)	Prec@1 4.297 (4.782)	Prec@5 15.625 (16.257)
Epoch: [27][6220/7045]	Time 0.663 (0.249)	Data 0.611 (0.185)	Loss 5.0353 (4.9998)	Prec@1 2.734 (4.783)	Prec@5 13.672 (16.259)
Epoch: [27][6230/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 5.0221 (4.9998)	Prec@1 4.688 (4.784)	Prec@5 12.109 (16.258)
Epoch: [27][6240/7045]	Time 0.610 (0.249)	Data 0.559 (0.185)	Loss 4.9633 (4.9998)	Prec@1 7.422 (4.784)	Prec@5 15.234 (16.257)
Epoch: [27][6250/7045]	Time 0.102 (0.249)	Data 0.012 (0.185)	Loss 5.0643 (4.9999)	Prec@1 4.297 (4.782)	Prec@5 15.234 (16.255)
Epoch: [27][6260/7045]	Time 0.348 (0.249)	Data 0.296 (0.185)	Loss 5.0278 (4.9999)	Prec@1 3.906 (4.783)	Prec@5 16.406 (16.255)
Epoch: [27][6270/7045]	Time 0.133 (0.249)	Data 0.081 (0.185)	Loss 5.0433 (4.9998)	Prec@1 7.812 (4.784)	Prec@5 15.625 (16.258)
Epoch: [27][6280/7045]	Time 0.115 (0.249)	Data 0.050 (0.185)	Loss 4.9180 (4.9997)	Prec@1 3.516 (4.785)	Prec@5 16.797 (16.263)
Epoch: [27][6290/7045]	Time 0.103 (0.249)	Data 0.052 (0.185)	Loss 5.0970 (4.9997)	Prec@1 5.078 (4.787)	Prec@5 15.625 (16.264)
Epoch: [27][6300/7045]	Time 0.126 (0.249)	Data 0.074 (0.185)	Loss 4.9840 (4.9998)	Prec@1 6.250 (4.788)	Prec@5 17.969 (16.263)
Epoch: [27][6310/7045]	Time 0.123 (0.249)	Data 0.072 (0.185)	Loss 4.9089 (4.9997)	Prec@1 5.859 (4.788)	Prec@5 15.234 (16.263)
Epoch: [27][6320/7045]	Time 0.404 (0.249)	Data 0.344 (0.185)	Loss 5.1277 (4.9997)	Prec@1 4.688 (4.788)	Prec@5 13.281 (16.262)
Epoch: [27][6330/7045]	Time 0.101 (0.249)	Data 0.016 (0.185)	Loss 5.1329 (5.0000)	Prec@1 4.297 (4.787)	Prec@5 15.625 (16.258)
Epoch: [27][6340/7045]	Time 0.106 (0.249)	Data 0.018 (0.185)	Loss 5.0069 (5.0001)	Prec@1 4.688 (4.787)	Prec@5 17.188 (16.258)
Epoch: [27][6350/7045]	Time 0.312 (0.249)	Data 0.255 (0.185)	Loss 5.0057 (5.0001)	Prec@1 4.297 (4.788)	Prec@5 18.750 (16.259)
Epoch: [27][6360/7045]	Time 0.471 (0.249)	Data 0.421 (0.185)	Loss 4.9302 (5.0002)	Prec@1 3.125 (4.787)	Prec@5 15.625 (16.257)
Epoch: [27][6370/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 4.8692 (5.0001)	Prec@1 6.250 (4.787)	Prec@5 19.922 (16.257)
Epoch: [27][6380/7045]	Time 0.330 (0.249)	Data 0.279 (0.185)	Loss 5.0106 (5.0001)	Prec@1 5.469 (4.787)	Prec@5 17.969 (16.257)
Epoch: [27][6390/7045]	Time 0.430 (0.249)	Data 0.377 (0.185)	Loss 5.2026 (5.0002)	Prec@1 1.953 (4.787)	Prec@5 12.109 (16.257)
Epoch: [27][6400/7045]	Time 0.228 (0.249)	Data 0.176 (0.185)	Loss 5.0191 (5.0002)	Prec@1 5.078 (4.787)	Prec@5 17.969 (16.257)
Epoch: [27][6410/7045]	Time 0.185 (0.249)	Data 0.133 (0.185)	Loss 5.0775 (5.0003)	Prec@1 3.906 (4.785)	Prec@5 15.234 (16.256)
Epoch: [27][6420/7045]	Time 0.185 (0.249)	Data 0.134 (0.185)	Loss 4.8129 (5.0003)	Prec@1 7.031 (4.786)	Prec@5 19.141 (16.255)
Epoch: [27][6430/7045]	Time 0.231 (0.249)	Data 0.173 (0.185)	Loss 4.9144 (5.0004)	Prec@1 5.078 (4.786)	Prec@5 19.922 (16.255)
Epoch: [27][6440/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 4.9599 (5.0004)	Prec@1 1.953 (4.784)	Prec@5 17.969 (16.254)
Epoch: [27][6450/7045]	Time 0.345 (0.249)	Data 0.294 (0.185)	Loss 4.9395 (5.0004)	Prec@1 4.297 (4.784)	Prec@5 16.797 (16.253)
Epoch: [27][6460/7045]	Time 0.369 (0.249)	Data 0.318 (0.185)	Loss 5.0627 (5.0004)	Prec@1 3.516 (4.784)	Prec@5 14.453 (16.253)
Epoch: [27][6470/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 5.0099 (5.0003)	Prec@1 3.516 (4.784)	Prec@5 15.625 (16.255)
Epoch: [27][6480/7045]	Time 0.567 (0.249)	Data 0.507 (0.185)	Loss 5.0658 (5.0004)	Prec@1 7.031 (4.784)	Prec@5 19.141 (16.256)
Epoch: [27][6490/7045]	Time 0.186 (0.249)	Data 0.135 (0.185)	Loss 4.9552 (5.0004)	Prec@1 4.688 (4.783)	Prec@5 17.188 (16.256)
Epoch: [27][6500/7045]	Time 0.131 (0.249)	Data 0.081 (0.185)	Loss 5.1804 (5.0004)	Prec@1 4.297 (4.782)	Prec@5 14.062 (16.255)
Epoch: [27][6510/7045]	Time 0.193 (0.249)	Data 0.139 (0.185)	Loss 4.9610 (5.0005)	Prec@1 4.688 (4.782)	Prec@5 20.703 (16.253)
Epoch: [27][6520/7045]	Time 0.102 (0.249)	Data 0.010 (0.185)	Loss 4.8434 (5.0005)	Prec@1 5.078 (4.782)	Prec@5 16.016 (16.253)
Epoch: [27][6530/7045]	Time 0.156 (0.249)	Data 0.104 (0.185)	Loss 5.0981 (5.0006)	Prec@1 6.641 (4.782)	Prec@5 17.188 (16.251)
Epoch: [27][6540/7045]	Time 0.100 (0.249)	Data 0.001 (0.185)	Loss 5.1585 (5.0008)	Prec@1 3.125 (4.782)	Prec@5 12.109 (16.249)
Epoch: [27][6550/7045]	Time 0.507 (0.249)	Data 0.455 (0.185)	Loss 5.0607 (5.0009)	Prec@1 5.469 (4.782)	Prec@5 15.234 (16.250)
Epoch: [27][6560/7045]	Time 0.237 (0.249)	Data 0.183 (0.185)	Loss 5.0114 (5.0009)	Prec@1 5.469 (4.782)	Prec@5 16.797 (16.249)
Epoch: [27][6570/7045]	Time 0.395 (0.249)	Data 0.344 (0.185)	Loss 5.0787 (5.0009)	Prec@1 4.297 (4.783)	Prec@5 14.844 (16.249)
Epoch: [27][6580/7045]	Time 0.265 (0.249)	Data 0.213 (0.185)	Loss 4.9858 (5.0009)	Prec@1 2.734 (4.784)	Prec@5 14.062 (16.250)
Epoch: [27][6590/7045]	Time 0.404 (0.249)	Data 0.353 (0.185)	Loss 5.0117 (5.0009)	Prec@1 4.688 (4.785)	Prec@5 15.625 (16.251)
Epoch: [27][6600/7045]	Time 0.417 (0.249)	Data 0.357 (0.185)	Loss 5.0135 (5.0009)	Prec@1 5.078 (4.785)	Prec@5 15.234 (16.250)
Epoch: [27][6610/7045]	Time 0.271 (0.249)	Data 0.214 (0.185)	Loss 4.9997 (5.0010)	Prec@1 3.516 (4.784)	Prec@5 14.453 (16.247)
Epoch: [27][6620/7045]	Time 0.614 (0.249)	Data 0.563 (0.185)	Loss 5.0007 (5.0010)	Prec@1 5.078 (4.784)	Prec@5 17.188 (16.247)
Epoch: [27][6630/7045]	Time 0.120 (0.249)	Data 0.059 (0.185)	Loss 4.7364 (5.0010)	Prec@1 7.031 (4.784)	Prec@5 21.094 (16.247)
Epoch: [27][6640/7045]	Time 0.532 (0.249)	Data 0.481 (0.185)	Loss 4.9706 (5.0009)	Prec@1 2.344 (4.784)	Prec@5 15.234 (16.249)
Epoch: [27][6650/7045]	Time 0.265 (0.249)	Data 0.213 (0.185)	Loss 4.9797 (5.0009)	Prec@1 5.078 (4.784)	Prec@5 16.797 (16.250)
Epoch: [27][6660/7045]	Time 0.150 (0.249)	Data 0.099 (0.185)	Loss 4.7967 (5.0009)	Prec@1 7.422 (4.784)	Prec@5 18.750 (16.251)
Epoch: [27][6670/7045]	Time 0.575 (0.249)	Data 0.517 (0.185)	Loss 5.0782 (5.0008)	Prec@1 6.250 (4.785)	Prec@5 15.625 (16.250)
Epoch: [27][6680/7045]	Time 0.110 (0.249)	Data 0.058 (0.185)	Loss 5.1397 (5.0008)	Prec@1 2.734 (4.784)	Prec@5 13.672 (16.251)
Epoch: [27][6690/7045]	Time 0.215 (0.249)	Data 0.163 (0.185)	Loss 5.0322 (5.0007)	Prec@1 4.688 (4.785)	Prec@5 11.719 (16.253)
Epoch: [27][6700/7045]	Time 0.248 (0.249)	Data 0.197 (0.185)	Loss 4.8307 (5.0007)	Prec@1 6.250 (4.786)	Prec@5 22.266 (16.254)
Epoch: [27][6710/7045]	Time 0.114 (0.249)	Data 0.052 (0.185)	Loss 5.0729 (5.0007)	Prec@1 5.859 (4.785)	Prec@5 15.625 (16.253)
Epoch: [27][6720/7045]	Time 0.100 (0.249)	Data 0.046 (0.185)	Loss 4.8357 (5.0008)	Prec@1 6.250 (4.785)	Prec@5 23.047 (16.252)
Epoch: [27][6730/7045]	Time 0.101 (0.249)	Data 0.009 (0.185)	Loss 4.9647 (5.0009)	Prec@1 6.250 (4.785)	Prec@5 15.625 (16.251)
Epoch: [27][6740/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 5.0950 (5.0009)	Prec@1 4.688 (4.784)	Prec@5 14.844 (16.249)
Epoch: [27][6750/7045]	Time 0.255 (0.249)	Data 0.205 (0.185)	Loss 5.1864 (5.0010)	Prec@1 3.906 (4.783)	Prec@5 15.234 (16.249)
Epoch: [27][6760/7045]	Time 0.164 (0.249)	Data 0.112 (0.185)	Loss 5.0088 (5.0010)	Prec@1 3.125 (4.782)	Prec@5 18.359 (16.249)
Epoch: [27][6770/7045]	Time 0.121 (0.249)	Data 0.070 (0.185)	Loss 5.0805 (5.0011)	Prec@1 4.688 (4.782)	Prec@5 14.844 (16.248)
Epoch: [27][6780/7045]	Time 0.268 (0.249)	Data 0.216 (0.185)	Loss 5.0950 (5.0012)	Prec@1 5.078 (4.781)	Prec@5 17.578 (16.247)
Epoch: [27][6790/7045]	Time 0.249 (0.249)	Data 0.197 (0.185)	Loss 5.0952 (5.0012)	Prec@1 3.516 (4.780)	Prec@5 13.672 (16.246)
Epoch: [27][6800/7045]	Time 0.249 (0.249)	Data 0.197 (0.185)	Loss 5.0305 (5.0012)	Prec@1 3.906 (4.779)	Prec@5 19.531 (16.248)
Epoch: [27][6810/7045]	Time 0.361 (0.249)	Data 0.310 (0.185)	Loss 5.1058 (5.0012)	Prec@1 4.297 (4.779)	Prec@5 14.844 (16.248)
Epoch: [27][6820/7045]	Time 0.252 (0.249)	Data 0.201 (0.185)	Loss 4.8267 (5.0011)	Prec@1 6.641 (4.780)	Prec@5 20.312 (16.249)
Epoch: [27][6830/7045]	Time 0.102 (0.249)	Data 0.049 (0.185)	Loss 5.1211 (5.0011)	Prec@1 4.688 (4.780)	Prec@5 14.844 (16.249)
Epoch: [27][6840/7045]	Time 0.492 (0.249)	Data 0.440 (0.185)	Loss 5.0578 (5.0011)	Prec@1 3.125 (4.780)	Prec@5 13.672 (16.247)
Epoch: [27][6850/7045]	Time 0.340 (0.249)	Data 0.289 (0.185)	Loss 4.9926 (5.0011)	Prec@1 4.688 (4.779)	Prec@5 15.234 (16.246)
Epoch: [27][6860/7045]	Time 0.251 (0.249)	Data 0.201 (0.185)	Loss 5.0696 (5.0012)	Prec@1 2.344 (4.778)	Prec@5 12.891 (16.245)
Epoch: [27][6870/7045]	Time 0.322 (0.249)	Data 0.270 (0.185)	Loss 4.9042 (5.0012)	Prec@1 5.078 (4.777)	Prec@5 17.578 (16.244)
Epoch: [27][6880/7045]	Time 0.113 (0.249)	Data 0.059 (0.185)	Loss 4.9795 (5.0012)	Prec@1 4.297 (4.778)	Prec@5 17.969 (16.245)
Epoch: [27][6890/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 5.0789 (5.0012)	Prec@1 4.297 (4.777)	Prec@5 13.281 (16.243)
Epoch: [27][6900/7045]	Time 0.231 (0.249)	Data 0.180 (0.185)	Loss 4.9845 (5.0012)	Prec@1 3.516 (4.777)	Prec@5 15.625 (16.243)
Epoch: [27][6910/7045]	Time 0.575 (0.249)	Data 0.523 (0.185)	Loss 5.0046 (5.0013)	Prec@1 4.688 (4.778)	Prec@5 15.234 (16.242)
Epoch: [27][6920/7045]	Time 0.102 (0.249)	Data 0.047 (0.185)	Loss 4.9116 (5.0012)	Prec@1 4.297 (4.778)	Prec@5 13.672 (16.241)
Epoch: [27][6930/7045]	Time 0.168 (0.249)	Data 0.118 (0.185)	Loss 5.0704 (5.0012)	Prec@1 4.688 (4.779)	Prec@5 15.234 (16.240)
Epoch: [27][6940/7045]	Time 0.308 (0.249)	Data 0.249 (0.185)	Loss 4.9889 (5.0011)	Prec@1 5.469 (4.779)	Prec@5 14.062 (16.241)
Epoch: [27][6950/7045]	Time 0.177 (0.249)	Data 0.126 (0.185)	Loss 4.8926 (5.0011)	Prec@1 8.203 (4.780)	Prec@5 19.531 (16.241)
Epoch: [27][6960/7045]	Time 0.402 (0.249)	Data 0.350 (0.185)	Loss 5.1144 (5.0012)	Prec@1 4.688 (4.779)	Prec@5 14.062 (16.240)
Epoch: [27][6970/7045]	Time 0.334 (0.249)	Data 0.282 (0.185)	Loss 5.0166 (5.0013)	Prec@1 3.906 (4.779)	Prec@5 14.062 (16.239)
Epoch: [27][6980/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 5.0206 (5.0014)	Prec@1 5.469 (4.779)	Prec@5 13.672 (16.239)
Epoch: [27][6990/7045]	Time 0.412 (0.249)	Data 0.360 (0.185)	Loss 4.9954 (5.0015)	Prec@1 6.641 (4.779)	Prec@5 17.969 (16.238)
Epoch: [27][7000/7045]	Time 0.102 (0.249)	Data 0.015 (0.185)	Loss 4.9196 (5.0014)	Prec@1 4.297 (4.780)	Prec@5 17.969 (16.238)
Epoch: [27][7010/7045]	Time 0.370 (0.249)	Data 0.319 (0.185)	Loss 4.9764 (5.0015)	Prec@1 5.078 (4.779)	Prec@5 17.188 (16.238)
Epoch: [27][7020/7045]	Time 0.101 (0.249)	Data 0.003 (0.185)	Loss 4.9969 (5.0016)	Prec@1 5.469 (4.779)	Prec@5 14.062 (16.235)
Epoch: [27][7030/7045]	Time 0.280 (0.249)	Data 0.229 (0.185)	Loss 5.0713 (5.0016)	Prec@1 7.422 (4.780)	Prec@5 19.141 (16.236)
Epoch: [27][7040/7045]	Time 0.108 (0.249)	Data 0.056 (0.185)	Loss 4.9301 (5.0016)	Prec@1 5.078 (4.779)	Prec@5 19.531 (16.235)
Test: [0/143]	Time 1.311 (1.311)	Loss 4.6242 (4.6242)	Prec@1 7.422 (7.422)	Prec@5 20.312 (20.312)
Test: [10/143]	Time 0.048 (0.264)	Loss 4.6294 (4.8308)	Prec@1 8.203 (5.930)	Prec@5 23.438 (18.608)
Test: [20/143]	Time 0.457 (0.238)	Loss 5.3555 (4.7958)	Prec@1 0.000 (5.562)	Prec@5 2.734 (19.940)
Test: [30/143]	Time 0.300 (0.221)	Loss 4.7306 (4.7990)	Prec@1 8.984 (6.124)	Prec@5 25.000 (20.413)
Test: [40/143]	Time 0.260 (0.212)	Loss 4.9517 (4.8098)	Prec@1 0.391 (6.126)	Prec@5 5.859 (19.922)
Test: [50/143]	Time 0.455 (0.207)	Loss 4.5659 (4.8258)	Prec@1 2.344 (5.545)	Prec@5 29.297 (19.118)
Test: [60/143]	Time 0.048 (0.202)	Loss 5.1537 (4.7916)	Prec@1 3.906 (6.449)	Prec@5 10.547 (20.613)
Test: [70/143]	Time 0.381 (0.199)	Loss 5.1179 (4.7939)	Prec@1 0.000 (6.547)	Prec@5 2.734 (20.571)
Test: [80/143]	Time 0.112 (0.193)	Loss 4.7679 (4.8025)	Prec@1 9.766 (6.380)	Prec@5 22.266 (20.578)
Test: [90/143]	Time 0.048 (0.194)	Loss 4.8251 (4.7996)	Prec@1 5.078 (6.516)	Prec@5 19.141 (20.806)
Test: [100/143]	Time 0.121 (0.190)	Loss 4.4424 (4.7936)	Prec@1 7.422 (6.459)	Prec@5 39.062 (21.276)
Test: [110/143]	Time 0.057 (0.189)	Loss 4.6165 (4.7979)	Prec@1 13.672 (6.482)	Prec@5 30.859 (21.154)
Test: [120/143]	Time 0.108 (0.190)	Loss 4.5989 (4.7905)	Prec@1 10.938 (6.647)	Prec@5 29.297 (21.417)
Test: [130/143]	Time 0.049 (0.187)	Loss 4.1353 (4.7850)	Prec@1 26.172 (6.757)	Prec@5 33.594 (21.496)
Test: [140/143]	Time 0.058 (0.187)	Loss 5.3093 (4.7957)	Prec@1 0.000 (6.668)	Prec@5 1.172 (21.271)
 * Prec@1 6.641 Prec@5 21.222
Epoch: [28][0/7045]	Time 2.407 (2.407)	Data 2.350 (2.350)	Loss 4.9517 (4.9517)	Prec@1 4.297 (4.297)	Prec@5 17.578 (17.578)
Epoch: [28][10/7045]	Time 0.100 (0.437)	Data 0.001 (0.361)	Loss 5.0057 (4.9753)	Prec@1 7.031 (5.220)	Prec@5 14.844 (16.868)
Epoch: [28][20/7045]	Time 0.627 (0.363)	Data 0.568 (0.286)	Loss 5.0957 (4.9888)	Prec@1 5.859 (5.134)	Prec@5 16.016 (17.001)
Epoch: [28][30/7045]	Time 0.101 (0.320)	Data 0.001 (0.242)	Loss 5.0925 (5.0162)	Prec@1 4.297 (4.788)	Prec@5 17.188 (16.444)
Epoch: [28][40/7045]	Time 0.429 (0.305)	Data 0.378 (0.230)	Loss 4.8477 (5.0096)	Prec@1 5.859 (4.878)	Prec@5 19.141 (16.435)
Epoch: [28][50/7045]	Time 0.100 (0.288)	Data 0.048 (0.215)	Loss 4.9041 (5.0099)	Prec@1 4.297 (4.772)	Prec@5 16.406 (16.085)
Epoch: [28][60/7045]	Time 0.110 (0.287)	Data 0.014 (0.215)	Loss 4.9923 (5.0083)	Prec@1 5.469 (4.848)	Prec@5 18.359 (16.144)
Epoch: [28][70/7045]	Time 0.249 (0.280)	Data 0.198 (0.210)	Loss 4.9371 (5.0046)	Prec@1 5.078 (4.748)	Prec@5 16.797 (16.104)
Epoch: [28][80/7045]	Time 0.110 (0.277)	Data 0.058 (0.209)	Loss 5.0911 (5.0045)	Prec@1 3.125 (4.673)	Prec@5 13.672 (16.112)
Epoch: [28][90/7045]	Time 0.315 (0.273)	Data 0.264 (0.204)	Loss 5.0973 (5.0081)	Prec@1 3.906 (4.666)	Prec@5 14.062 (16.037)
Epoch: [28][100/7045]	Time 0.102 (0.271)	Data 0.002 (0.202)	Loss 5.0076 (5.0069)	Prec@1 4.297 (4.672)	Prec@5 16.016 (16.039)
Epoch: [28][110/7045]	Time 0.303 (0.268)	Data 0.250 (0.199)	Loss 4.9800 (5.0033)	Prec@1 5.078 (4.705)	Prec@5 16.016 (16.100)
Epoch: [28][120/7045]	Time 0.100 (0.266)	Data 0.011 (0.198)	Loss 4.9239 (5.0001)	Prec@1 1.562 (4.710)	Prec@5 17.578 (16.125)
Epoch: [28][130/7045]	Time 0.109 (0.264)	Data 0.057 (0.196)	Loss 5.0712 (5.0003)	Prec@1 4.688 (4.714)	Prec@5 15.234 (16.099)
Epoch: [28][140/7045]	Time 0.187 (0.263)	Data 0.136 (0.196)	Loss 4.8437 (4.9978)	Prec@1 4.297 (4.729)	Prec@5 19.922 (16.176)
Epoch: [28][150/7045]	Time 0.404 (0.264)	Data 0.353 (0.198)	Loss 4.9687 (4.9960)	Prec@1 1.953 (4.739)	Prec@5 14.062 (16.168)
Epoch: [28][160/7045]	Time 0.113 (0.261)	Data 0.060 (0.194)	Loss 4.8688 (4.9935)	Prec@1 4.688 (4.760)	Prec@5 21.875 (16.244)
Epoch: [28][170/7045]	Time 0.299 (0.261)	Data 0.248 (0.195)	Loss 4.9933 (4.9926)	Prec@1 5.078 (4.715)	Prec@5 17.969 (16.271)
Epoch: [28][180/7045]	Time 0.438 (0.261)	Data 0.386 (0.195)	Loss 5.0465 (4.9945)	Prec@1 4.688 (4.718)	Prec@5 15.625 (16.240)
Epoch: [28][190/7045]	Time 0.099 (0.260)	Data 0.001 (0.194)	Loss 5.0162 (4.9957)	Prec@1 3.125 (4.696)	Prec@5 14.453 (16.241)
Epoch: [28][200/7045]	Time 0.418 (0.259)	Data 0.366 (0.193)	Loss 4.9460 (4.9974)	Prec@1 4.297 (4.674)	Prec@5 18.359 (16.229)
Epoch: [28][210/7045]	Time 0.438 (0.259)	Data 0.386 (0.193)	Loss 4.9225 (4.9960)	Prec@1 4.688 (4.684)	Prec@5 14.062 (16.243)
Epoch: [28][220/7045]	Time 0.194 (0.259)	Data 0.143 (0.193)	Loss 5.0334 (4.9947)	Prec@1 5.078 (4.709)	Prec@5 15.625 (16.254)
Epoch: [28][230/7045]	Time 0.102 (0.258)	Data 0.018 (0.192)	Loss 5.0461 (4.9959)	Prec@1 3.125 (4.730)	Prec@5 16.016 (16.235)
Epoch: [28][240/7045]	Time 0.299 (0.258)	Data 0.248 (0.192)	Loss 5.0759 (4.9983)	Prec@1 5.859 (4.741)	Prec@5 17.969 (16.243)
Epoch: [28][250/7045]	Time 0.669 (0.258)	Data 0.608 (0.194)	Loss 5.0366 (5.0014)	Prec@1 3.516 (4.730)	Prec@5 12.109 (16.182)
Epoch: [28][260/7045]	Time 0.188 (0.257)	Data 0.137 (0.192)	Loss 5.0256 (5.0024)	Prec@1 5.078 (4.749)	Prec@5 15.234 (16.170)
Epoch: [28][270/7045]	Time 0.348 (0.257)	Data 0.289 (0.192)	Loss 5.0575 (5.0031)	Prec@1 4.688 (4.747)	Prec@5 13.672 (16.144)
Epoch: [28][280/7045]	Time 0.130 (0.256)	Data 0.078 (0.191)	Loss 5.0177 (5.0041)	Prec@1 4.297 (4.731)	Prec@5 16.406 (16.134)
Epoch: [28][290/7045]	Time 0.100 (0.257)	Data 0.002 (0.192)	Loss 4.9346 (5.0007)	Prec@1 5.859 (4.751)	Prec@5 17.969 (16.185)
Epoch: [28][300/7045]	Time 0.238 (0.256)	Data 0.187 (0.192)	Loss 4.9504 (5.0010)	Prec@1 5.859 (4.743)	Prec@5 14.844 (16.178)
Epoch: [28][310/7045]	Time 0.183 (0.256)	Data 0.130 (0.192)	Loss 4.8571 (5.0009)	Prec@1 5.859 (4.749)	Prec@5 15.625 (16.174)
Epoch: [28][320/7045]	Time 0.101 (0.256)	Data 0.006 (0.192)	Loss 4.9320 (4.9989)	Prec@1 4.688 (4.771)	Prec@5 15.625 (16.222)
Epoch: [28][330/7045]	Time 0.100 (0.255)	Data 0.009 (0.191)	Loss 4.9832 (4.9974)	Prec@1 4.297 (4.763)	Prec@5 17.188 (16.272)
Epoch: [28][340/7045]	Time 0.183 (0.256)	Data 0.132 (0.192)	Loss 5.1106 (4.9967)	Prec@1 2.344 (4.763)	Prec@5 11.719 (16.245)
Epoch: [28][350/7045]	Time 0.401 (0.256)	Data 0.351 (0.192)	Loss 5.0274 (4.9961)	Prec@1 3.516 (4.765)	Prec@5 13.281 (16.247)
Epoch: [28][360/7045]	Time 0.103 (0.255)	Data 0.001 (0.192)	Loss 5.0274 (4.9968)	Prec@1 3.125 (4.741)	Prec@5 12.109 (16.232)
Epoch: [28][370/7045]	Time 0.427 (0.256)	Data 0.376 (0.192)	Loss 4.9768 (4.9963)	Prec@1 4.688 (4.746)	Prec@5 19.531 (16.262)
Epoch: [28][380/7045]	Time 0.502 (0.256)	Data 0.451 (0.192)	Loss 4.9243 (4.9958)	Prec@1 5.469 (4.762)	Prec@5 20.312 (16.280)
Epoch: [28][390/7045]	Time 0.108 (0.255)	Data 0.057 (0.191)	Loss 4.9334 (4.9957)	Prec@1 3.125 (4.773)	Prec@5 14.453 (16.286)
Epoch: [28][400/7045]	Time 0.302 (0.255)	Data 0.251 (0.191)	Loss 5.0145 (4.9956)	Prec@1 5.469 (4.772)	Prec@5 15.234 (16.310)
Epoch: [28][410/7045]	Time 0.111 (0.255)	Data 0.058 (0.191)	Loss 4.9013 (4.9951)	Prec@1 6.641 (4.783)	Prec@5 20.703 (16.329)
Epoch: [28][420/7045]	Time 0.301 (0.255)	Data 0.248 (0.190)	Loss 4.9725 (4.9945)	Prec@1 3.516 (4.777)	Prec@5 14.453 (16.335)
Epoch: [28][430/7045]	Time 0.107 (0.255)	Data 0.015 (0.190)	Loss 4.9926 (4.9940)	Prec@1 4.297 (4.797)	Prec@5 14.062 (16.350)
Epoch: [28][440/7045]	Time 0.103 (0.254)	Data 0.014 (0.190)	Loss 4.9007 (4.9939)	Prec@1 5.859 (4.816)	Prec@5 20.312 (16.352)
Epoch: [28][450/7045]	Time 0.101 (0.254)	Data 0.001 (0.190)	Loss 4.8926 (4.9944)	Prec@1 5.859 (4.823)	Prec@5 20.312 (16.351)
Epoch: [28][460/7045]	Time 0.391 (0.254)	Data 0.339 (0.190)	Loss 4.8875 (4.9950)	Prec@1 5.859 (4.814)	Prec@5 16.797 (16.332)
Epoch: [28][470/7045]	Time 0.168 (0.254)	Data 0.118 (0.190)	Loss 4.8677 (4.9927)	Prec@1 5.469 (4.832)	Prec@5 20.312 (16.368)
Epoch: [28][480/7045]	Time 0.523 (0.255)	Data 0.460 (0.190)	Loss 5.0342 (4.9926)	Prec@1 3.516 (4.829)	Prec@5 15.625 (16.360)
Epoch: [28][490/7045]	Time 0.288 (0.254)	Data 0.236 (0.190)	Loss 4.9120 (4.9930)	Prec@1 5.469 (4.843)	Prec@5 17.188 (16.360)
Epoch: [28][500/7045]	Time 0.297 (0.254)	Data 0.247 (0.190)	Loss 4.9767 (4.9935)	Prec@1 5.859 (4.839)	Prec@5 20.312 (16.379)
Epoch: [28][510/7045]	Time 0.123 (0.254)	Data 0.071 (0.190)	Loss 4.9191 (4.9945)	Prec@1 5.078 (4.832)	Prec@5 19.531 (16.386)
Epoch: [28][520/7045]	Time 0.099 (0.254)	Data 0.047 (0.190)	Loss 4.9595 (4.9956)	Prec@1 4.688 (4.821)	Prec@5 17.188 (16.363)
Epoch: [28][530/7045]	Time 0.106 (0.254)	Data 0.053 (0.190)	Loss 4.9710 (4.9957)	Prec@1 4.688 (4.816)	Prec@5 15.625 (16.352)
Epoch: [28][540/7045]	Time 0.235 (0.254)	Data 0.183 (0.190)	Loss 4.9721 (4.9962)	Prec@1 4.688 (4.814)	Prec@5 15.625 (16.325)
Epoch: [28][550/7045]	Time 0.214 (0.254)	Data 0.163 (0.190)	Loss 5.0113 (4.9970)	Prec@1 5.078 (4.800)	Prec@5 13.281 (16.306)
Epoch: [28][560/7045]	Time 0.101 (0.254)	Data 0.001 (0.190)	Loss 5.0551 (4.9975)	Prec@1 6.250 (4.791)	Prec@5 16.016 (16.283)
Epoch: [28][570/7045]	Time 0.373 (0.254)	Data 0.322 (0.190)	Loss 4.9959 (4.9974)	Prec@1 2.734 (4.788)	Prec@5 16.406 (16.289)
Epoch: [28][580/7045]	Time 0.112 (0.253)	Data 0.061 (0.190)	Loss 5.0065 (4.9969)	Prec@1 3.906 (4.786)	Prec@5 14.844 (16.281)
Epoch: [28][590/7045]	Time 0.579 (0.254)	Data 0.528 (0.190)	Loss 5.0648 (4.9981)	Prec@1 4.297 (4.782)	Prec@5 17.578 (16.254)
Epoch: [28][600/7045]	Time 0.104 (0.253)	Data 0.052 (0.190)	Loss 5.1100 (4.9985)	Prec@1 3.516 (4.769)	Prec@5 14.453 (16.225)
Epoch: [28][610/7045]	Time 0.331 (0.253)	Data 0.279 (0.190)	Loss 4.9225 (4.9988)	Prec@1 5.078 (4.773)	Prec@5 14.062 (16.239)
Epoch: [28][620/7045]	Time 0.301 (0.253)	Data 0.250 (0.190)	Loss 5.1150 (4.9989)	Prec@1 2.344 (4.767)	Prec@5 12.891 (16.230)
Epoch: [28][630/7045]	Time 0.281 (0.254)	Data 0.230 (0.190)	Loss 5.1200 (5.0003)	Prec@1 1.953 (4.760)	Prec@5 12.109 (16.212)
Epoch: [28][640/7045]	Time 0.102 (0.253)	Data 0.001 (0.190)	Loss 5.0064 (5.0009)	Prec@1 4.297 (4.755)	Prec@5 17.578 (16.205)
Epoch: [28][650/7045]	Time 0.517 (0.254)	Data 0.465 (0.190)	Loss 4.9453 (5.0008)	Prec@1 6.250 (4.756)	Prec@5 18.750 (16.201)
Epoch: [28][660/7045]	Time 0.165 (0.253)	Data 0.114 (0.190)	Loss 5.1359 (5.0012)	Prec@1 4.688 (4.753)	Prec@5 13.672 (16.211)
Epoch: [28][670/7045]	Time 0.101 (0.254)	Data 0.001 (0.190)	Loss 5.0358 (5.0010)	Prec@1 4.297 (4.746)	Prec@5 15.625 (16.206)
Epoch: [28][680/7045]	Time 0.102 (0.253)	Data 0.001 (0.190)	Loss 5.0714 (5.0020)	Prec@1 1.562 (4.728)	Prec@5 12.891 (16.190)
Epoch: [28][690/7045]	Time 0.181 (0.253)	Data 0.130 (0.190)	Loss 5.0753 (5.0032)	Prec@1 4.297 (4.720)	Prec@5 13.281 (16.161)
Epoch: [28][700/7045]	Time 0.275 (0.253)	Data 0.225 (0.190)	Loss 5.0288 (5.0030)	Prec@1 3.516 (4.725)	Prec@5 14.844 (16.179)
Epoch: [28][710/7045]	Time 0.249 (0.253)	Data 0.199 (0.190)	Loss 4.9298 (5.0034)	Prec@1 5.078 (4.728)	Prec@5 19.531 (16.186)
Epoch: [28][720/7045]	Time 0.101 (0.253)	Data 0.045 (0.190)	Loss 5.1521 (5.0030)	Prec@1 3.906 (4.735)	Prec@5 16.016 (16.198)
Epoch: [28][730/7045]	Time 0.244 (0.253)	Data 0.186 (0.190)	Loss 5.0320 (5.0031)	Prec@1 4.688 (4.722)	Prec@5 16.016 (16.186)
Epoch: [28][740/7045]	Time 0.228 (0.253)	Data 0.176 (0.190)	Loss 5.0885 (5.0036)	Prec@1 5.859 (4.716)	Prec@5 16.797 (16.170)
Epoch: [28][750/7045]	Time 0.542 (0.253)	Data 0.484 (0.190)	Loss 5.0241 (5.0042)	Prec@1 6.641 (4.712)	Prec@5 19.531 (16.167)
Epoch: [28][760/7045]	Time 0.186 (0.253)	Data 0.135 (0.190)	Loss 5.0054 (5.0041)	Prec@1 5.859 (4.712)	Prec@5 15.625 (16.181)
Epoch: [28][770/7045]	Time 0.575 (0.253)	Data 0.524 (0.190)	Loss 5.0603 (5.0040)	Prec@1 4.297 (4.715)	Prec@5 14.844 (16.170)
Epoch: [28][780/7045]	Time 0.160 (0.253)	Data 0.110 (0.190)	Loss 5.0259 (5.0040)	Prec@1 3.516 (4.717)	Prec@5 13.281 (16.153)
Epoch: [28][790/7045]	Time 0.448 (0.253)	Data 0.397 (0.190)	Loss 4.9742 (5.0040)	Prec@1 3.906 (4.721)	Prec@5 13.281 (16.150)
Epoch: [28][800/7045]	Time 0.183 (0.253)	Data 0.133 (0.190)	Loss 4.9993 (5.0039)	Prec@1 4.688 (4.720)	Prec@5 10.547 (16.135)
Epoch: [28][810/7045]	Time 0.653 (0.253)	Data 0.602 (0.190)	Loss 4.9633 (5.0040)	Prec@1 4.688 (4.724)	Prec@5 17.578 (16.142)
Epoch: [28][820/7045]	Time 0.111 (0.252)	Data 0.058 (0.189)	Loss 4.9331 (5.0035)	Prec@1 4.297 (4.723)	Prec@5 13.672 (16.145)
Epoch: [28][830/7045]	Time 0.572 (0.253)	Data 0.514 (0.190)	Loss 4.9875 (5.0038)	Prec@1 3.906 (4.723)	Prec@5 14.844 (16.134)
Epoch: [28][840/7045]	Time 0.102 (0.252)	Data 0.001 (0.189)	Loss 5.0440 (5.0046)	Prec@1 4.688 (4.714)	Prec@5 19.141 (16.120)
Epoch: [28][850/7045]	Time 0.385 (0.253)	Data 0.335 (0.190)	Loss 5.0777 (5.0047)	Prec@1 3.125 (4.712)	Prec@5 10.547 (16.113)
Epoch: [28][860/7045]	Time 0.101 (0.252)	Data 0.004 (0.189)	Loss 5.1138 (5.0055)	Prec@1 4.297 (4.707)	Prec@5 12.500 (16.109)
Epoch: [28][870/7045]	Time 0.099 (0.252)	Data 0.047 (0.189)	Loss 5.2378 (5.0059)	Prec@1 2.344 (4.701)	Prec@5 12.891 (16.099)
Epoch: [28][880/7045]	Time 0.143 (0.252)	Data 0.091 (0.189)	Loss 5.0383 (5.0059)	Prec@1 5.469 (4.701)	Prec@5 14.453 (16.098)
Epoch: [28][890/7045]	Time 0.505 (0.253)	Data 0.454 (0.190)	Loss 4.9901 (5.0057)	Prec@1 5.078 (4.701)	Prec@5 19.531 (16.103)
Epoch: [28][900/7045]	Time 0.102 (0.252)	Data 0.003 (0.189)	Loss 4.8829 (5.0057)	Prec@1 7.812 (4.702)	Prec@5 22.656 (16.102)
Epoch: [28][910/7045]	Time 0.685 (0.253)	Data 0.622 (0.190)	Loss 5.1441 (5.0056)	Prec@1 3.516 (4.703)	Prec@5 12.891 (16.100)
Epoch: [28][920/7045]	Time 0.099 (0.252)	Data 0.001 (0.189)	Loss 4.8863 (5.0052)	Prec@1 6.250 (4.703)	Prec@5 19.531 (16.106)
Epoch: [28][930/7045]	Time 0.724 (0.253)	Data 0.672 (0.189)	Loss 5.1006 (5.0051)	Prec@1 2.734 (4.706)	Prec@5 10.547 (16.108)
Epoch: [28][940/7045]	Time 0.111 (0.252)	Data 0.059 (0.188)	Loss 4.9491 (5.0050)	Prec@1 4.688 (4.712)	Prec@5 16.016 (16.114)
Epoch: [28][950/7045]	Time 0.415 (0.252)	Data 0.363 (0.189)	Loss 5.1394 (5.0051)	Prec@1 3.906 (4.700)	Prec@5 14.453 (16.108)
Epoch: [28][960/7045]	Time 0.108 (0.252)	Data 0.055 (0.188)	Loss 5.0665 (5.0053)	Prec@1 5.469 (4.704)	Prec@5 16.797 (16.105)
Epoch: [28][970/7045]	Time 0.142 (0.252)	Data 0.090 (0.188)	Loss 4.8887 (5.0046)	Prec@1 3.906 (4.703)	Prec@5 15.625 (16.103)
Epoch: [28][980/7045]	Time 0.117 (0.252)	Data 0.065 (0.188)	Loss 4.8833 (5.0039)	Prec@1 5.078 (4.709)	Prec@5 19.141 (16.123)
Epoch: [28][990/7045]	Time 0.101 (0.252)	Data 0.003 (0.188)	Loss 4.9257 (5.0043)	Prec@1 5.859 (4.704)	Prec@5 16.406 (16.119)
Epoch: [28][1000/7045]	Time 0.106 (0.252)	Data 0.051 (0.188)	Loss 4.9539 (5.0039)	Prec@1 3.516 (4.707)	Prec@5 17.578 (16.126)
Epoch: [28][1010/7045]	Time 0.101 (0.252)	Data 0.007 (0.188)	Loss 5.0770 (5.0037)	Prec@1 5.469 (4.713)	Prec@5 12.891 (16.135)
Epoch: [28][1020/7045]	Time 0.314 (0.252)	Data 0.263 (0.188)	Loss 5.0799 (5.0037)	Prec@1 4.688 (4.713)	Prec@5 15.625 (16.136)
Epoch: [28][1030/7045]	Time 0.101 (0.252)	Data 0.001 (0.188)	Loss 5.0132 (5.0040)	Prec@1 2.344 (4.706)	Prec@5 14.062 (16.137)
Epoch: [28][1040/7045]	Time 0.499 (0.252)	Data 0.447 (0.188)	Loss 5.0008 (5.0037)	Prec@1 6.641 (4.710)	Prec@5 16.797 (16.144)
Epoch: [28][1050/7045]	Time 0.291 (0.251)	Data 0.241 (0.188)	Loss 5.1122 (5.0037)	Prec@1 3.125 (4.714)	Prec@5 14.062 (16.149)
Epoch: [28][1060/7045]	Time 0.294 (0.251)	Data 0.243 (0.188)	Loss 4.9698 (5.0036)	Prec@1 4.297 (4.713)	Prec@5 14.062 (16.146)
Epoch: [28][1070/7045]	Time 0.334 (0.251)	Data 0.283 (0.188)	Loss 4.9893 (5.0032)	Prec@1 5.859 (4.720)	Prec@5 18.750 (16.165)
Epoch: [28][1080/7045]	Time 0.184 (0.251)	Data 0.127 (0.188)	Loss 4.8908 (5.0021)	Prec@1 4.688 (4.731)	Prec@5 13.281 (16.185)
Epoch: [28][1090/7045]	Time 0.548 (0.251)	Data 0.496 (0.188)	Loss 5.0733 (5.0019)	Prec@1 4.688 (4.734)	Prec@5 14.062 (16.193)
Epoch: [28][1100/7045]	Time 0.100 (0.251)	Data 0.007 (0.187)	Loss 4.9750 (5.0019)	Prec@1 5.469 (4.734)	Prec@5 16.016 (16.189)
Epoch: [28][1110/7045]	Time 0.363 (0.251)	Data 0.312 (0.188)	Loss 4.9011 (5.0015)	Prec@1 4.688 (4.740)	Prec@5 14.453 (16.194)
Epoch: [28][1120/7045]	Time 0.114 (0.251)	Data 0.062 (0.187)	Loss 4.9244 (5.0013)	Prec@1 4.688 (4.737)	Prec@5 17.578 (16.191)
Epoch: [28][1130/7045]	Time 0.212 (0.251)	Data 0.161 (0.187)	Loss 4.8211 (5.0011)	Prec@1 4.688 (4.740)	Prec@5 16.797 (16.195)
Epoch: [28][1140/7045]	Time 0.101 (0.251)	Data 0.005 (0.187)	Loss 5.0010 (5.0018)	Prec@1 5.859 (4.737)	Prec@5 16.406 (16.178)
Epoch: [28][1150/7045]	Time 0.442 (0.251)	Data 0.390 (0.187)	Loss 4.9906 (5.0016)	Prec@1 5.078 (4.744)	Prec@5 19.531 (16.189)
Epoch: [28][1160/7045]	Time 0.106 (0.251)	Data 0.053 (0.187)	Loss 5.0896 (5.0017)	Prec@1 5.859 (4.749)	Prec@5 14.844 (16.190)
Epoch: [28][1170/7045]	Time 0.385 (0.251)	Data 0.333 (0.187)	Loss 4.9976 (5.0015)	Prec@1 6.250 (4.750)	Prec@5 18.750 (16.201)
Epoch: [28][1180/7045]	Time 0.153 (0.251)	Data 0.102 (0.187)	Loss 5.1926 (5.0016)	Prec@1 3.125 (4.748)	Prec@5 12.109 (16.206)
Epoch: [28][1190/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 5.0887 (5.0021)	Prec@1 3.906 (4.750)	Prec@5 14.844 (16.192)
Epoch: [28][1200/7045]	Time 0.101 (0.251)	Data 0.007 (0.187)	Loss 5.1001 (5.0021)	Prec@1 2.734 (4.748)	Prec@5 13.672 (16.189)
Epoch: [28][1210/7045]	Time 0.321 (0.251)	Data 0.270 (0.187)	Loss 5.0109 (5.0017)	Prec@1 4.688 (4.749)	Prec@5 15.625 (16.197)
Epoch: [28][1220/7045]	Time 0.108 (0.250)	Data 0.055 (0.187)	Loss 4.8877 (5.0018)	Prec@1 6.250 (4.745)	Prec@5 20.312 (16.195)
Epoch: [28][1230/7045]	Time 0.567 (0.250)	Data 0.510 (0.187)	Loss 4.9772 (5.0015)	Prec@1 2.734 (4.746)	Prec@5 12.891 (16.193)
Epoch: [28][1240/7045]	Time 0.113 (0.250)	Data 0.052 (0.187)	Loss 5.1011 (5.0016)	Prec@1 2.734 (4.744)	Prec@5 11.719 (16.190)
Epoch: [28][1250/7045]	Time 0.479 (0.250)	Data 0.429 (0.187)	Loss 4.9350 (5.0016)	Prec@1 3.125 (4.747)	Prec@5 16.797 (16.190)
Epoch: [28][1260/7045]	Time 0.336 (0.250)	Data 0.286 (0.187)	Loss 4.9717 (5.0016)	Prec@1 6.250 (4.749)	Prec@5 14.062 (16.185)
Epoch: [28][1270/7045]	Time 0.305 (0.250)	Data 0.253 (0.187)	Loss 4.9091 (5.0016)	Prec@1 5.469 (4.750)	Prec@5 16.016 (16.187)
Epoch: [28][1280/7045]	Time 0.157 (0.250)	Data 0.105 (0.187)	Loss 4.8528 (5.0015)	Prec@1 6.641 (4.750)	Prec@5 22.266 (16.190)
Epoch: [28][1290/7045]	Time 0.238 (0.250)	Data 0.185 (0.187)	Loss 5.0042 (5.0012)	Prec@1 5.078 (4.757)	Prec@5 14.844 (16.199)
Epoch: [28][1300/7045]	Time 0.243 (0.250)	Data 0.192 (0.187)	Loss 4.9491 (5.0015)	Prec@1 3.906 (4.757)	Prec@5 16.016 (16.196)
Epoch: [28][1310/7045]	Time 0.251 (0.250)	Data 0.201 (0.187)	Loss 4.9474 (5.0012)	Prec@1 4.297 (4.757)	Prec@5 19.141 (16.202)
Epoch: [28][1320/7045]	Time 0.637 (0.250)	Data 0.580 (0.187)	Loss 4.9726 (5.0011)	Prec@1 4.297 (4.756)	Prec@5 20.703 (16.210)
Epoch: [28][1330/7045]	Time 0.111 (0.250)	Data 0.059 (0.187)	Loss 5.0211 (5.0015)	Prec@1 4.297 (4.754)	Prec@5 17.188 (16.204)
Epoch: [28][1340/7045]	Time 0.166 (0.250)	Data 0.114 (0.187)	Loss 5.0340 (5.0017)	Prec@1 3.125 (4.753)	Prec@5 15.625 (16.205)
Epoch: [28][1350/7045]	Time 0.204 (0.250)	Data 0.154 (0.187)	Loss 5.0100 (5.0019)	Prec@1 3.906 (4.751)	Prec@5 16.797 (16.204)
Epoch: [28][1360/7045]	Time 0.100 (0.250)	Data 0.016 (0.187)	Loss 4.9682 (5.0021)	Prec@1 4.297 (4.747)	Prec@5 12.500 (16.196)
Epoch: [28][1370/7045]	Time 0.101 (0.250)	Data 0.001 (0.187)	Loss 5.1031 (5.0021)	Prec@1 3.516 (4.754)	Prec@5 12.891 (16.199)
Epoch: [28][1380/7045]	Time 0.107 (0.250)	Data 0.055 (0.187)	Loss 4.9104 (5.0023)	Prec@1 5.078 (4.750)	Prec@5 14.453 (16.195)
Epoch: [28][1390/7045]	Time 0.647 (0.251)	Data 0.596 (0.188)	Loss 4.9368 (5.0017)	Prec@1 3.906 (4.755)	Prec@5 17.578 (16.206)
Epoch: [28][1400/7045]	Time 0.185 (0.250)	Data 0.135 (0.187)	Loss 5.1363 (5.0019)	Prec@1 3.906 (4.755)	Prec@5 14.062 (16.203)
Epoch: [28][1410/7045]	Time 0.342 (0.250)	Data 0.291 (0.187)	Loss 4.9282 (5.0019)	Prec@1 3.516 (4.753)	Prec@5 16.797 (16.207)
Epoch: [28][1420/7045]	Time 0.309 (0.250)	Data 0.257 (0.187)	Loss 4.8490 (5.0014)	Prec@1 3.906 (4.753)	Prec@5 20.703 (16.219)
Epoch: [28][1430/7045]	Time 0.166 (0.250)	Data 0.115 (0.187)	Loss 5.1863 (5.0016)	Prec@1 6.641 (4.748)	Prec@5 19.922 (16.211)
Epoch: [28][1440/7045]	Time 0.101 (0.250)	Data 0.002 (0.187)	Loss 4.9040 (5.0018)	Prec@1 8.203 (4.750)	Prec@5 22.656 (16.212)
Epoch: [28][1450/7045]	Time 0.121 (0.250)	Data 0.070 (0.187)	Loss 4.9913 (5.0018)	Prec@1 4.297 (4.749)	Prec@5 14.062 (16.206)
Epoch: [28][1460/7045]	Time 0.593 (0.250)	Data 0.542 (0.187)	Loss 5.0006 (5.0018)	Prec@1 3.516 (4.746)	Prec@5 13.281 (16.204)
Epoch: [28][1470/7045]	Time 0.304 (0.250)	Data 0.252 (0.187)	Loss 5.0462 (5.0014)	Prec@1 5.078 (4.749)	Prec@5 19.141 (16.213)
Epoch: [28][1480/7045]	Time 0.286 (0.250)	Data 0.235 (0.187)	Loss 4.9962 (5.0015)	Prec@1 3.125 (4.748)	Prec@5 13.281 (16.211)
Epoch: [28][1490/7045]	Time 0.119 (0.250)	Data 0.067 (0.187)	Loss 4.9737 (5.0015)	Prec@1 6.250 (4.748)	Prec@5 18.750 (16.209)
Epoch: [28][1500/7045]	Time 0.107 (0.250)	Data 0.001 (0.187)	Loss 5.0389 (5.0016)	Prec@1 4.688 (4.748)	Prec@5 15.234 (16.206)
Epoch: [28][1510/7045]	Time 0.100 (0.250)	Data 0.001 (0.187)	Loss 5.0183 (5.0020)	Prec@1 4.688 (4.742)	Prec@5 14.062 (16.196)
Epoch: [28][1520/7045]	Time 0.107 (0.250)	Data 0.020 (0.187)	Loss 5.1106 (5.0024)	Prec@1 4.297 (4.741)	Prec@5 14.844 (16.192)
Epoch: [28][1530/7045]	Time 0.102 (0.250)	Data 0.045 (0.187)	Loss 4.9595 (5.0027)	Prec@1 5.078 (4.740)	Prec@5 17.188 (16.187)
Epoch: [28][1540/7045]	Time 0.103 (0.250)	Data 0.013 (0.187)	Loss 5.0122 (5.0025)	Prec@1 5.859 (4.741)	Prec@5 15.234 (16.189)
Epoch: [28][1550/7045]	Time 0.416 (0.250)	Data 0.364 (0.187)	Loss 4.8710 (5.0026)	Prec@1 5.859 (4.742)	Prec@5 20.703 (16.189)
Epoch: [28][1560/7045]	Time 0.151 (0.250)	Data 0.099 (0.187)	Loss 4.8536 (5.0027)	Prec@1 6.641 (4.742)	Prec@5 17.188 (16.185)
Epoch: [28][1570/7045]	Time 0.595 (0.250)	Data 0.542 (0.187)	Loss 4.9687 (5.0028)	Prec@1 3.906 (4.741)	Prec@5 15.234 (16.186)
Epoch: [28][1580/7045]	Time 0.110 (0.250)	Data 0.013 (0.186)	Loss 4.9248 (5.0026)	Prec@1 4.688 (4.743)	Prec@5 22.266 (16.192)
Epoch: [28][1590/7045]	Time 0.677 (0.250)	Data 0.626 (0.187)	Loss 4.9935 (5.0022)	Prec@1 5.469 (4.744)	Prec@5 16.797 (16.198)
Epoch: [28][1600/7045]	Time 0.252 (0.250)	Data 0.201 (0.186)	Loss 5.0156 (5.0022)	Prec@1 3.125 (4.745)	Prec@5 14.453 (16.199)
Epoch: [28][1610/7045]	Time 0.480 (0.250)	Data 0.429 (0.186)	Loss 5.0413 (5.0022)	Prec@1 2.734 (4.742)	Prec@5 16.797 (16.199)
Epoch: [28][1620/7045]	Time 0.242 (0.250)	Data 0.190 (0.186)	Loss 4.9509 (5.0020)	Prec@1 6.250 (4.743)	Prec@5 18.750 (16.204)
Epoch: [28][1630/7045]	Time 0.266 (0.250)	Data 0.214 (0.186)	Loss 5.1680 (5.0024)	Prec@1 2.344 (4.740)	Prec@5 14.844 (16.203)
Epoch: [28][1640/7045]	Time 0.483 (0.250)	Data 0.422 (0.186)	Loss 5.0341 (5.0025)	Prec@1 3.516 (4.740)	Prec@5 14.062 (16.200)
Epoch: [28][1650/7045]	Time 0.108 (0.250)	Data 0.001 (0.186)	Loss 5.0791 (5.0028)	Prec@1 3.906 (4.738)	Prec@5 13.672 (16.197)
Epoch: [28][1660/7045]	Time 0.528 (0.250)	Data 0.467 (0.186)	Loss 5.0994 (5.0027)	Prec@1 3.125 (4.738)	Prec@5 14.453 (16.199)
Epoch: [28][1670/7045]	Time 0.244 (0.250)	Data 0.182 (0.186)	Loss 4.5047 (5.0020)	Prec@1 9.766 (4.740)	Prec@5 27.734 (16.207)
Epoch: [28][1680/7045]	Time 0.429 (0.250)	Data 0.373 (0.186)	Loss 4.9891 (5.0018)	Prec@1 4.297 (4.748)	Prec@5 15.234 (16.218)
Epoch: [28][1690/7045]	Time 0.503 (0.250)	Data 0.453 (0.186)	Loss 5.0740 (5.0017)	Prec@1 4.688 (4.745)	Prec@5 16.016 (16.219)
Epoch: [28][1700/7045]	Time 0.100 (0.249)	Data 0.049 (0.186)	Loss 5.1296 (5.0019)	Prec@1 3.516 (4.741)	Prec@5 15.234 (16.218)
Epoch: [28][1710/7045]	Time 0.869 (0.250)	Data 0.818 (0.186)	Loss 4.9370 (5.0018)	Prec@1 4.688 (4.742)	Prec@5 14.453 (16.218)
Epoch: [28][1720/7045]	Time 0.101 (0.249)	Data 0.001 (0.186)	Loss 5.0330 (5.0018)	Prec@1 5.469 (4.744)	Prec@5 18.359 (16.222)
Epoch: [28][1730/7045]	Time 0.806 (0.250)	Data 0.754 (0.186)	Loss 4.9462 (5.0017)	Prec@1 6.250 (4.749)	Prec@5 19.141 (16.224)
Epoch: [28][1740/7045]	Time 0.125 (0.249)	Data 0.073 (0.186)	Loss 4.8996 (5.0017)	Prec@1 7.422 (4.750)	Prec@5 21.875 (16.230)
Epoch: [28][1750/7045]	Time 0.472 (0.249)	Data 0.420 (0.186)	Loss 4.9370 (5.0015)	Prec@1 6.641 (4.751)	Prec@5 18.359 (16.236)
Epoch: [28][1760/7045]	Time 0.196 (0.249)	Data 0.145 (0.186)	Loss 4.9523 (5.0013)	Prec@1 5.859 (4.751)	Prec@5 16.797 (16.233)
Epoch: [28][1770/7045]	Time 0.238 (0.249)	Data 0.187 (0.186)	Loss 4.9831 (5.0011)	Prec@1 5.469 (4.755)	Prec@5 17.578 (16.236)
Epoch: [28][1780/7045]	Time 0.204 (0.249)	Data 0.152 (0.186)	Loss 5.1171 (5.0012)	Prec@1 4.688 (4.756)	Prec@5 11.328 (16.232)
Epoch: [28][1790/7045]	Time 0.189 (0.249)	Data 0.138 (0.186)	Loss 4.8940 (5.0010)	Prec@1 7.031 (4.756)	Prec@5 18.359 (16.238)
Epoch: [28][1800/7045]	Time 0.263 (0.249)	Data 0.211 (0.186)	Loss 4.9080 (5.0008)	Prec@1 5.078 (4.753)	Prec@5 16.797 (16.244)
Epoch: [28][1810/7045]	Time 0.126 (0.249)	Data 0.073 (0.186)	Loss 5.0510 (5.0008)	Prec@1 3.125 (4.753)	Prec@5 13.672 (16.240)
Epoch: [28][1820/7045]	Time 0.250 (0.249)	Data 0.199 (0.186)	Loss 5.1390 (5.0009)	Prec@1 4.297 (4.752)	Prec@5 12.500 (16.242)
Epoch: [28][1830/7045]	Time 0.257 (0.249)	Data 0.207 (0.186)	Loss 5.0691 (5.0008)	Prec@1 3.906 (4.754)	Prec@5 14.062 (16.243)
Epoch: [28][1840/7045]	Time 0.179 (0.249)	Data 0.128 (0.186)	Loss 4.8232 (5.0005)	Prec@1 7.031 (4.755)	Prec@5 17.578 (16.242)
Epoch: [28][1850/7045]	Time 0.632 (0.249)	Data 0.580 (0.186)	Loss 4.9858 (5.0002)	Prec@1 3.906 (4.751)	Prec@5 12.109 (16.240)
Epoch: [28][1860/7045]	Time 0.101 (0.249)	Data 0.001 (0.186)	Loss 5.0243 (5.0003)	Prec@1 5.078 (4.749)	Prec@5 19.531 (16.242)
Epoch: [28][1870/7045]	Time 0.778 (0.249)	Data 0.727 (0.186)	Loss 5.0646 (5.0002)	Prec@1 5.078 (4.750)	Prec@5 17.969 (16.241)
Epoch: [28][1880/7045]	Time 0.102 (0.249)	Data 0.001 (0.186)	Loss 5.0175 (5.0004)	Prec@1 3.906 (4.745)	Prec@5 12.500 (16.233)
Epoch: [28][1890/7045]	Time 0.580 (0.249)	Data 0.522 (0.186)	Loss 4.9931 (5.0008)	Prec@1 3.906 (4.743)	Prec@5 16.406 (16.231)
Epoch: [28][1900/7045]	Time 0.371 (0.249)	Data 0.321 (0.186)	Loss 4.9458 (5.0009)	Prec@1 3.906 (4.739)	Prec@5 17.969 (16.231)
Epoch: [28][1910/7045]	Time 0.388 (0.249)	Data 0.337 (0.186)	Loss 5.0070 (5.0009)	Prec@1 6.641 (4.740)	Prec@5 17.188 (16.231)
Epoch: [28][1920/7045]	Time 0.437 (0.249)	Data 0.386 (0.186)	Loss 4.9313 (5.0010)	Prec@1 5.078 (4.739)	Prec@5 18.750 (16.232)
Epoch: [28][1930/7045]	Time 0.178 (0.249)	Data 0.120 (0.186)	Loss 4.7970 (5.0008)	Prec@1 5.078 (4.741)	Prec@5 15.625 (16.230)
Epoch: [28][1940/7045]	Time 0.498 (0.249)	Data 0.446 (0.186)	Loss 4.8329 (5.0005)	Prec@1 7.031 (4.744)	Prec@5 20.703 (16.238)
Epoch: [28][1950/7045]	Time 0.101 (0.249)	Data 0.001 (0.186)	Loss 4.9767 (5.0002)	Prec@1 5.078 (4.744)	Prec@5 18.359 (16.242)
Epoch: [28][1960/7045]	Time 0.104 (0.249)	Data 0.052 (0.185)	Loss 5.0351 (5.0004)	Prec@1 5.469 (4.742)	Prec@5 14.844 (16.242)
Epoch: [28][1970/7045]	Time 0.100 (0.249)	Data 0.001 (0.185)	Loss 5.0475 (5.0007)	Prec@1 3.906 (4.736)	Prec@5 15.234 (16.234)
Epoch: [28][1980/7045]	Time 0.165 (0.249)	Data 0.114 (0.185)	Loss 4.8902 (5.0005)	Prec@1 5.859 (4.736)	Prec@5 17.188 (16.232)
Epoch: [28][1990/7045]	Time 0.100 (0.249)	Data 0.045 (0.185)	Loss 5.0630 (5.0006)	Prec@1 6.641 (4.739)	Prec@5 15.625 (16.229)
Epoch: [28][2000/7045]	Time 0.459 (0.249)	Data 0.409 (0.185)	Loss 4.9421 (5.0010)	Prec@1 7.422 (4.738)	Prec@5 21.094 (16.223)
Epoch: [28][2010/7045]	Time 0.101 (0.249)	Data 0.007 (0.185)	Loss 5.0129 (5.0009)	Prec@1 5.078 (4.738)	Prec@5 16.016 (16.221)
Epoch: [28][2020/7045]	Time 0.660 (0.249)	Data 0.609 (0.185)	Loss 4.9577 (5.0008)	Prec@1 5.078 (4.739)	Prec@5 17.188 (16.221)
Epoch: [28][2030/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 5.0097 (5.0009)	Prec@1 4.688 (4.737)	Prec@5 15.625 (16.219)
Epoch: [28][2040/7045]	Time 0.643 (0.249)	Data 0.592 (0.185)	Loss 4.9724 (5.0011)	Prec@1 5.469 (4.737)	Prec@5 17.188 (16.213)
Epoch: [28][2050/7045]	Time 0.112 (0.249)	Data 0.051 (0.185)	Loss 4.9973 (5.0009)	Prec@1 4.297 (4.735)	Prec@5 16.406 (16.214)
Epoch: [28][2060/7045]	Time 0.421 (0.249)	Data 0.370 (0.185)	Loss 5.0545 (5.0007)	Prec@1 3.906 (4.735)	Prec@5 11.719 (16.214)
Epoch: [28][2070/7045]	Time 0.440 (0.249)	Data 0.389 (0.185)	Loss 5.0115 (5.0007)	Prec@1 4.297 (4.734)	Prec@5 15.625 (16.215)
Epoch: [28][2080/7045]	Time 0.264 (0.249)	Data 0.212 (0.185)	Loss 5.0006 (5.0009)	Prec@1 5.859 (4.732)	Prec@5 16.406 (16.215)
Epoch: [28][2090/7045]	Time 0.283 (0.249)	Data 0.231 (0.185)	Loss 4.9575 (5.0011)	Prec@1 5.078 (4.728)	Prec@5 16.016 (16.210)
Epoch: [28][2100/7045]	Time 0.197 (0.249)	Data 0.144 (0.185)	Loss 5.0178 (5.0012)	Prec@1 4.297 (4.730)	Prec@5 16.016 (16.208)
Epoch: [28][2110/7045]	Time 0.123 (0.249)	Data 0.071 (0.185)	Loss 5.1211 (5.0012)	Prec@1 2.734 (4.730)	Prec@5 11.328 (16.208)
Epoch: [28][2120/7045]	Time 0.108 (0.249)	Data 0.008 (0.185)	Loss 5.0424 (5.0012)	Prec@1 3.125 (4.729)	Prec@5 17.969 (16.208)
Epoch: [28][2130/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.9072 (5.0015)	Prec@1 4.688 (4.725)	Prec@5 14.453 (16.200)
Epoch: [28][2140/7045]	Time 0.109 (0.249)	Data 0.005 (0.185)	Loss 4.9234 (5.0013)	Prec@1 4.297 (4.727)	Prec@5 17.578 (16.200)
Epoch: [28][2150/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.9778 (5.0014)	Prec@1 3.906 (4.727)	Prec@5 21.875 (16.203)
Epoch: [28][2160/7045]	Time 0.101 (0.249)	Data 0.015 (0.185)	Loss 4.9720 (5.0015)	Prec@1 3.906 (4.724)	Prec@5 13.281 (16.195)
Epoch: [28][2170/7045]	Time 0.257 (0.249)	Data 0.206 (0.185)	Loss 5.0103 (5.0016)	Prec@1 4.688 (4.725)	Prec@5 17.969 (16.196)
Epoch: [28][2180/7045]	Time 0.161 (0.249)	Data 0.110 (0.185)	Loss 4.9510 (5.0015)	Prec@1 5.859 (4.727)	Prec@5 15.234 (16.195)
Epoch: [28][2190/7045]	Time 0.180 (0.249)	Data 0.129 (0.185)	Loss 5.1007 (5.0017)	Prec@1 7.031 (4.728)	Prec@5 18.359 (16.195)
Epoch: [28][2200/7045]	Time 0.166 (0.249)	Data 0.116 (0.185)	Loss 5.0300 (5.0019)	Prec@1 4.297 (4.729)	Prec@5 15.625 (16.187)
Epoch: [28][2210/7045]	Time 0.107 (0.249)	Data 0.002 (0.185)	Loss 4.9820 (5.0019)	Prec@1 4.688 (4.731)	Prec@5 17.188 (16.185)
Epoch: [28][2220/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 4.9732 (5.0018)	Prec@1 4.297 (4.730)	Prec@5 15.625 (16.185)
Epoch: [28][2230/7045]	Time 0.109 (0.249)	Data 0.008 (0.185)	Loss 5.2196 (5.0016)	Prec@1 5.859 (4.733)	Prec@5 11.328 (16.191)
Epoch: [28][2240/7045]	Time 0.101 (0.249)	Data 0.007 (0.185)	Loss 5.0724 (5.0015)	Prec@1 2.734 (4.732)	Prec@5 13.281 (16.194)
Epoch: [28][2250/7045]	Time 0.402 (0.249)	Data 0.342 (0.185)	Loss 4.9252 (5.0016)	Prec@1 6.641 (4.732)	Prec@5 17.578 (16.194)
Epoch: [28][2260/7045]	Time 0.110 (0.249)	Data 0.057 (0.185)	Loss 5.0995 (5.0014)	Prec@1 3.516 (4.732)	Prec@5 9.766 (16.193)
Epoch: [28][2270/7045]	Time 0.390 (0.249)	Data 0.331 (0.185)	Loss 5.0782 (5.0016)	Prec@1 5.859 (4.735)	Prec@5 13.281 (16.191)
Epoch: [28][2280/7045]	Time 0.144 (0.249)	Data 0.093 (0.185)	Loss 5.0555 (5.0017)	Prec@1 6.250 (4.734)	Prec@5 16.797 (16.189)
Epoch: [28][2290/7045]	Time 0.432 (0.249)	Data 0.382 (0.185)	Loss 5.0242 (5.0022)	Prec@1 3.906 (4.733)	Prec@5 16.016 (16.181)
Epoch: [28][2300/7045]	Time 0.192 (0.249)	Data 0.133 (0.185)	Loss 4.9456 (5.0020)	Prec@1 2.734 (4.729)	Prec@5 13.672 (16.177)
Epoch: [28][2310/7045]	Time 0.323 (0.249)	Data 0.271 (0.185)	Loss 5.1838 (5.0022)	Prec@1 4.688 (4.727)	Prec@5 14.062 (16.171)
Epoch: [28][2320/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 5.0452 (5.0026)	Prec@1 5.859 (4.728)	Prec@5 18.359 (16.167)
Epoch: [28][2330/7045]	Time 0.101 (0.249)	Data 0.005 (0.185)	Loss 5.0479 (5.0031)	Prec@1 4.688 (4.727)	Prec@5 15.234 (16.156)
Epoch: [28][2340/7045]	Time 0.171 (0.249)	Data 0.119 (0.185)	Loss 5.0822 (5.0032)	Prec@1 4.297 (4.729)	Prec@5 14.453 (16.154)
Epoch: [28][2350/7045]	Time 0.126 (0.249)	Data 0.059 (0.185)	Loss 4.9010 (5.0033)	Prec@1 5.469 (4.728)	Prec@5 16.797 (16.151)
Epoch: [28][2360/7045]	Time 0.300 (0.249)	Data 0.248 (0.185)	Loss 5.0760 (5.0035)	Prec@1 4.297 (4.725)	Prec@5 13.281 (16.144)
Epoch: [28][2370/7045]	Time 0.100 (0.249)	Data 0.048 (0.185)	Loss 4.9044 (5.0032)	Prec@1 5.078 (4.729)	Prec@5 21.484 (16.150)
Epoch: [28][2380/7045]	Time 0.474 (0.249)	Data 0.423 (0.185)	Loss 4.9775 (5.0035)	Prec@1 3.516 (4.728)	Prec@5 14.453 (16.142)
Epoch: [28][2390/7045]	Time 0.106 (0.249)	Data 0.053 (0.185)	Loss 4.9654 (5.0035)	Prec@1 6.250 (4.728)	Prec@5 17.188 (16.138)
Epoch: [28][2400/7045]	Time 0.413 (0.249)	Data 0.361 (0.185)	Loss 4.8677 (5.0036)	Prec@1 5.078 (4.729)	Prec@5 20.703 (16.142)
Epoch: [28][2410/7045]	Time 0.149 (0.249)	Data 0.098 (0.185)	Loss 5.0339 (5.0034)	Prec@1 5.469 (4.731)	Prec@5 16.406 (16.150)
Epoch: [28][2420/7045]	Time 0.456 (0.249)	Data 0.404 (0.185)	Loss 4.7824 (5.0030)	Prec@1 5.078 (4.732)	Prec@5 22.266 (16.161)
Epoch: [28][2430/7045]	Time 0.196 (0.249)	Data 0.145 (0.185)	Loss 4.9655 (5.0030)	Prec@1 4.297 (4.732)	Prec@5 19.531 (16.164)
Epoch: [28][2440/7045]	Time 0.284 (0.249)	Data 0.233 (0.185)	Loss 4.9467 (5.0029)	Prec@1 3.906 (4.736)	Prec@5 19.531 (16.172)
Epoch: [28][2450/7045]	Time 0.399 (0.249)	Data 0.348 (0.185)	Loss 5.1328 (5.0028)	Prec@1 3.516 (4.739)	Prec@5 12.891 (16.174)
Epoch: [28][2460/7045]	Time 0.208 (0.249)	Data 0.157 (0.185)	Loss 5.0495 (5.0030)	Prec@1 4.297 (4.737)	Prec@5 15.625 (16.170)
Epoch: [28][2470/7045]	Time 0.403 (0.249)	Data 0.352 (0.185)	Loss 5.0580 (5.0031)	Prec@1 5.859 (4.739)	Prec@5 16.016 (16.166)
Epoch: [28][2480/7045]	Time 0.101 (0.248)	Data 0.010 (0.185)	Loss 5.1870 (5.0031)	Prec@1 3.516 (4.738)	Prec@5 14.062 (16.167)
Epoch: [28][2490/7045]	Time 0.438 (0.249)	Data 0.387 (0.185)	Loss 4.9408 (5.0029)	Prec@1 6.641 (4.743)	Prec@5 16.406 (16.173)
Epoch: [28][2500/7045]	Time 0.362 (0.249)	Data 0.311 (0.185)	Loss 4.9395 (5.0027)	Prec@1 3.516 (4.745)	Prec@5 17.188 (16.178)
Epoch: [28][2510/7045]	Time 0.240 (0.248)	Data 0.188 (0.185)	Loss 5.1402 (5.0028)	Prec@1 4.297 (4.746)	Prec@5 14.453 (16.180)
Epoch: [28][2520/7045]	Time 0.405 (0.249)	Data 0.353 (0.185)	Loss 5.1490 (5.0032)	Prec@1 2.344 (4.745)	Prec@5 10.156 (16.174)
Epoch: [28][2530/7045]	Time 0.101 (0.248)	Data 0.006 (0.185)	Loss 5.0750 (5.0035)	Prec@1 5.078 (4.742)	Prec@5 16.406 (16.171)
Epoch: [28][2540/7045]	Time 0.458 (0.249)	Data 0.407 (0.185)	Loss 5.0180 (5.0036)	Prec@1 3.906 (4.741)	Prec@5 15.234 (16.170)
Epoch: [28][2550/7045]	Time 0.152 (0.248)	Data 0.090 (0.185)	Loss 4.9737 (5.0034)	Prec@1 3.125 (4.740)	Prec@5 13.281 (16.173)
Epoch: [28][2560/7045]	Time 0.398 (0.249)	Data 0.347 (0.185)	Loss 5.0051 (5.0033)	Prec@1 4.297 (4.744)	Prec@5 13.281 (16.176)
Epoch: [28][2570/7045]	Time 0.101 (0.248)	Data 0.011 (0.185)	Loss 4.9850 (5.0031)	Prec@1 4.688 (4.746)	Prec@5 16.016 (16.182)
Epoch: [28][2580/7045]	Time 0.120 (0.248)	Data 0.069 (0.185)	Loss 4.9670 (5.0030)	Prec@1 3.516 (4.746)	Prec@5 19.141 (16.187)
Epoch: [28][2590/7045]	Time 0.191 (0.248)	Data 0.141 (0.185)	Loss 5.0610 (5.0030)	Prec@1 3.906 (4.747)	Prec@5 11.719 (16.188)
Epoch: [28][2600/7045]	Time 0.114 (0.248)	Data 0.062 (0.185)	Loss 5.1222 (5.0031)	Prec@1 2.734 (4.747)	Prec@5 12.891 (16.188)
Epoch: [28][2610/7045]	Time 0.100 (0.248)	Data 0.006 (0.185)	Loss 5.0919 (5.0032)	Prec@1 3.906 (4.746)	Prec@5 14.062 (16.189)
Epoch: [28][2620/7045]	Time 0.112 (0.248)	Data 0.006 (0.185)	Loss 4.9421 (5.0032)	Prec@1 5.469 (4.746)	Prec@5 14.844 (16.191)
Epoch: [28][2630/7045]	Time 0.119 (0.248)	Data 0.068 (0.185)	Loss 5.0179 (5.0032)	Prec@1 5.469 (4.744)	Prec@5 17.188 (16.187)
Epoch: [28][2640/7045]	Time 0.139 (0.248)	Data 0.088 (0.185)	Loss 4.8772 (5.0029)	Prec@1 5.078 (4.745)	Prec@5 17.969 (16.192)
Epoch: [28][2650/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 5.1151 (5.0031)	Prec@1 3.125 (4.744)	Prec@5 14.453 (16.192)
Epoch: [28][2660/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 5.0564 (5.0033)	Prec@1 4.688 (4.742)	Prec@5 17.188 (16.193)
Epoch: [28][2670/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 4.9452 (5.0033)	Prec@1 6.250 (4.742)	Prec@5 16.406 (16.195)
Epoch: [28][2680/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 4.8461 (5.0034)	Prec@1 3.516 (4.743)	Prec@5 17.188 (16.197)
Epoch: [28][2690/7045]	Time 0.267 (0.248)	Data 0.217 (0.185)	Loss 5.0362 (5.0032)	Prec@1 3.906 (4.742)	Prec@5 16.406 (16.199)
Epoch: [28][2700/7045]	Time 0.101 (0.248)	Data 0.003 (0.185)	Loss 5.0544 (5.0033)	Prec@1 4.297 (4.744)	Prec@5 15.234 (16.200)
Epoch: [28][2710/7045]	Time 0.482 (0.248)	Data 0.429 (0.185)	Loss 5.1346 (5.0036)	Prec@1 3.125 (4.744)	Prec@5 12.109 (16.197)
Epoch: [28][2720/7045]	Time 0.103 (0.248)	Data 0.017 (0.185)	Loss 5.0447 (5.0036)	Prec@1 5.469 (4.744)	Prec@5 15.234 (16.199)
Epoch: [28][2730/7045]	Time 0.507 (0.248)	Data 0.456 (0.185)	Loss 5.1025 (5.0036)	Prec@1 4.688 (4.745)	Prec@5 14.062 (16.197)
Epoch: [28][2740/7045]	Time 0.110 (0.248)	Data 0.001 (0.185)	Loss 5.1094 (5.0036)	Prec@1 3.906 (4.744)	Prec@5 15.234 (16.197)
Epoch: [28][2750/7045]	Time 0.465 (0.248)	Data 0.414 (0.185)	Loss 5.1585 (5.0039)	Prec@1 4.297 (4.742)	Prec@5 10.938 (16.189)
Epoch: [28][2760/7045]	Time 0.109 (0.248)	Data 0.003 (0.185)	Loss 5.1582 (5.0042)	Prec@1 3.906 (4.741)	Prec@5 11.719 (16.185)
Epoch: [28][2770/7045]	Time 0.568 (0.248)	Data 0.516 (0.185)	Loss 5.1870 (5.0046)	Prec@1 3.906 (4.738)	Prec@5 10.547 (16.178)
Epoch: [28][2780/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 5.1629 (5.0049)	Prec@1 4.297 (4.733)	Prec@5 16.406 (16.172)
Epoch: [28][2790/7045]	Time 0.476 (0.248)	Data 0.423 (0.185)	Loss 4.9257 (5.0049)	Prec@1 8.203 (4.733)	Prec@5 19.141 (16.170)
Epoch: [28][2800/7045]	Time 0.588 (0.249)	Data 0.537 (0.185)	Loss 5.0781 (5.0051)	Prec@1 3.125 (4.733)	Prec@5 15.625 (16.165)
Epoch: [28][2810/7045]	Time 0.220 (0.248)	Data 0.168 (0.185)	Loss 5.0250 (5.0053)	Prec@1 4.297 (4.732)	Prec@5 15.234 (16.161)
Epoch: [28][2820/7045]	Time 0.728 (0.249)	Data 0.669 (0.185)	Loss 5.0269 (5.0053)	Prec@1 4.688 (4.730)	Prec@5 16.016 (16.158)
Epoch: [28][2830/7045]	Time 0.102 (0.248)	Data 0.013 (0.185)	Loss 4.9471 (5.0051)	Prec@1 4.688 (4.732)	Prec@5 14.844 (16.159)
Epoch: [28][2840/7045]	Time 0.592 (0.248)	Data 0.541 (0.185)	Loss 5.0275 (5.0051)	Prec@1 3.906 (4.733)	Prec@5 13.672 (16.161)
Epoch: [28][2850/7045]	Time 0.106 (0.248)	Data 0.001 (0.185)	Loss 5.0951 (5.0053)	Prec@1 3.906 (4.731)	Prec@5 11.328 (16.152)
Epoch: [28][2860/7045]	Time 0.604 (0.249)	Data 0.552 (0.185)	Loss 4.9903 (5.0050)	Prec@1 4.297 (4.733)	Prec@5 15.234 (16.157)
Epoch: [28][2870/7045]	Time 0.102 (0.248)	Data 0.008 (0.185)	Loss 5.1078 (5.0052)	Prec@1 1.953 (4.730)	Prec@5 14.453 (16.156)
Epoch: [28][2880/7045]	Time 0.154 (0.248)	Data 0.104 (0.185)	Loss 5.0274 (5.0055)	Prec@1 5.859 (4.728)	Prec@5 12.891 (16.147)
Epoch: [28][2890/7045]	Time 0.303 (0.248)	Data 0.253 (0.185)	Loss 4.9971 (5.0056)	Prec@1 5.859 (4.728)	Prec@5 17.188 (16.146)
Epoch: [28][2900/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 4.9326 (5.0056)	Prec@1 4.688 (4.727)	Prec@5 17.969 (16.147)
Epoch: [28][2910/7045]	Time 0.380 (0.248)	Data 0.329 (0.185)	Loss 4.9752 (5.0055)	Prec@1 4.297 (4.727)	Prec@5 16.797 (16.146)
Epoch: [28][2920/7045]	Time 0.101 (0.248)	Data 0.018 (0.185)	Loss 5.0383 (5.0052)	Prec@1 4.297 (4.729)	Prec@5 12.109 (16.148)
Epoch: [28][2930/7045]	Time 0.546 (0.248)	Data 0.489 (0.185)	Loss 5.0537 (5.0052)	Prec@1 5.078 (4.730)	Prec@5 16.406 (16.144)
Epoch: [28][2940/7045]	Time 0.246 (0.248)	Data 0.189 (0.185)	Loss 5.0909 (5.0052)	Prec@1 2.344 (4.731)	Prec@5 13.281 (16.143)
Epoch: [28][2950/7045]	Time 0.509 (0.248)	Data 0.458 (0.185)	Loss 4.9355 (5.0052)	Prec@1 5.859 (4.733)	Prec@5 14.844 (16.143)
Epoch: [28][2960/7045]	Time 0.309 (0.248)	Data 0.257 (0.185)	Loss 4.9325 (5.0054)	Prec@1 4.297 (4.733)	Prec@5 20.312 (16.141)
Epoch: [28][2970/7045]	Time 0.155 (0.248)	Data 0.103 (0.185)	Loss 4.8372 (5.0052)	Prec@1 6.641 (4.733)	Prec@5 19.531 (16.145)
Epoch: [28][2980/7045]	Time 0.454 (0.248)	Data 0.402 (0.185)	Loss 5.1522 (5.0053)	Prec@1 4.297 (4.733)	Prec@5 15.625 (16.146)
Epoch: [28][2990/7045]	Time 0.101 (0.248)	Data 0.011 (0.185)	Loss 5.0331 (5.0053)	Prec@1 3.906 (4.732)	Prec@5 17.188 (16.146)
Epoch: [28][3000/7045]	Time 0.678 (0.249)	Data 0.618 (0.185)	Loss 4.8553 (5.0052)	Prec@1 5.469 (4.732)	Prec@5 16.406 (16.148)
Epoch: [28][3010/7045]	Time 0.107 (0.248)	Data 0.055 (0.185)	Loss 5.0878 (5.0051)	Prec@1 2.734 (4.731)	Prec@5 16.016 (16.147)
Epoch: [28][3020/7045]	Time 0.617 (0.249)	Data 0.565 (0.185)	Loss 4.9089 (5.0051)	Prec@1 4.688 (4.731)	Prec@5 16.016 (16.147)
Epoch: [28][3030/7045]	Time 0.103 (0.248)	Data 0.001 (0.185)	Loss 4.9939 (5.0050)	Prec@1 3.516 (4.731)	Prec@5 14.062 (16.149)
Epoch: [28][3040/7045]	Time 0.586 (0.249)	Data 0.533 (0.185)	Loss 5.0322 (5.0051)	Prec@1 5.469 (4.729)	Prec@5 14.844 (16.148)
Epoch: [28][3050/7045]	Time 0.160 (0.248)	Data 0.109 (0.185)	Loss 5.0108 (5.0050)	Prec@1 3.906 (4.730)	Prec@5 16.016 (16.148)
Epoch: [28][3060/7045]	Time 0.560 (0.249)	Data 0.498 (0.185)	Loss 5.0133 (5.0051)	Prec@1 5.859 (4.731)	Prec@5 16.016 (16.147)
Epoch: [28][3070/7045]	Time 0.225 (0.248)	Data 0.173 (0.185)	Loss 4.9778 (5.0051)	Prec@1 5.859 (4.732)	Prec@5 16.797 (16.146)
Epoch: [28][3080/7045]	Time 0.329 (0.248)	Data 0.277 (0.185)	Loss 4.9446 (5.0051)	Prec@1 4.297 (4.732)	Prec@5 15.234 (16.144)
Epoch: [28][3090/7045]	Time 0.417 (0.249)	Data 0.365 (0.185)	Loss 5.0214 (5.0051)	Prec@1 3.906 (4.733)	Prec@5 13.672 (16.144)
Epoch: [28][3100/7045]	Time 0.103 (0.248)	Data 0.051 (0.185)	Loss 4.9222 (5.0049)	Prec@1 6.641 (4.735)	Prec@5 20.312 (16.146)
Epoch: [28][3110/7045]	Time 0.587 (0.249)	Data 0.524 (0.185)	Loss 4.8500 (5.0048)	Prec@1 4.688 (4.735)	Prec@5 20.703 (16.146)
Epoch: [28][3120/7045]	Time 0.103 (0.249)	Data 0.001 (0.185)	Loss 5.0219 (5.0046)	Prec@1 4.688 (4.736)	Prec@5 16.797 (16.148)
Epoch: [28][3130/7045]	Time 0.608 (0.249)	Data 0.555 (0.185)	Loss 5.0347 (5.0046)	Prec@1 3.906 (4.734)	Prec@5 15.625 (16.149)
Epoch: [28][3140/7045]	Time 0.107 (0.248)	Data 0.001 (0.185)	Loss 5.1122 (5.0045)	Prec@1 2.344 (4.733)	Prec@5 13.281 (16.150)
Epoch: [28][3150/7045]	Time 0.482 (0.249)	Data 0.431 (0.185)	Loss 4.9069 (5.0044)	Prec@1 1.953 (4.736)	Prec@5 16.406 (16.155)
Epoch: [28][3160/7045]	Time 0.376 (0.248)	Data 0.325 (0.185)	Loss 5.0230 (5.0044)	Prec@1 3.906 (4.736)	Prec@5 14.844 (16.156)
Epoch: [28][3170/7045]	Time 0.102 (0.248)	Data 0.018 (0.185)	Loss 4.9962 (5.0043)	Prec@1 6.250 (4.735)	Prec@5 21.484 (16.157)
Epoch: [28][3180/7045]	Time 0.494 (0.248)	Data 0.443 (0.185)	Loss 4.9017 (5.0041)	Prec@1 9.375 (4.738)	Prec@5 17.969 (16.163)
Epoch: [28][3190/7045]	Time 0.102 (0.248)	Data 0.020 (0.185)	Loss 4.9827 (5.0040)	Prec@1 5.078 (4.739)	Prec@5 14.844 (16.166)
Epoch: [28][3200/7045]	Time 0.406 (0.248)	Data 0.354 (0.185)	Loss 5.0942 (5.0040)	Prec@1 3.125 (4.739)	Prec@5 15.625 (16.169)
Epoch: [28][3210/7045]	Time 0.228 (0.248)	Data 0.177 (0.185)	Loss 5.1123 (5.0040)	Prec@1 7.031 (4.739)	Prec@5 16.406 (16.169)
Epoch: [28][3220/7045]	Time 0.166 (0.248)	Data 0.115 (0.185)	Loss 4.9910 (5.0041)	Prec@1 7.812 (4.739)	Prec@5 16.797 (16.166)
Epoch: [28][3230/7045]	Time 0.340 (0.248)	Data 0.288 (0.185)	Loss 4.9674 (5.0041)	Prec@1 5.078 (4.740)	Prec@5 16.016 (16.167)
Epoch: [28][3240/7045]	Time 0.109 (0.248)	Data 0.015 (0.185)	Loss 4.9655 (5.0041)	Prec@1 4.688 (4.742)	Prec@5 18.359 (16.164)
Epoch: [28][3250/7045]	Time 0.717 (0.249)	Data 0.666 (0.185)	Loss 5.0408 (5.0044)	Prec@1 6.250 (4.742)	Prec@5 18.750 (16.161)
Epoch: [28][3260/7045]	Time 0.109 (0.248)	Data 0.001 (0.185)	Loss 5.1748 (5.0044)	Prec@1 5.078 (4.741)	Prec@5 16.016 (16.160)
Epoch: [28][3270/7045]	Time 0.526 (0.248)	Data 0.474 (0.185)	Loss 5.0313 (5.0043)	Prec@1 5.078 (4.742)	Prec@5 17.188 (16.162)
Epoch: [28][3280/7045]	Time 0.268 (0.248)	Data 0.217 (0.185)	Loss 4.8589 (5.0042)	Prec@1 4.688 (4.743)	Prec@5 16.016 (16.160)
Epoch: [28][3290/7045]	Time 0.233 (0.248)	Data 0.182 (0.185)	Loss 5.0728 (5.0043)	Prec@1 3.125 (4.744)	Prec@5 15.625 (16.157)
Epoch: [28][3300/7045]	Time 0.491 (0.248)	Data 0.439 (0.185)	Loss 4.9448 (5.0043)	Prec@1 5.469 (4.744)	Prec@5 17.188 (16.157)
Epoch: [28][3310/7045]	Time 0.248 (0.248)	Data 0.197 (0.185)	Loss 5.0917 (5.0043)	Prec@1 6.250 (4.744)	Prec@5 14.062 (16.158)
Epoch: [28][3320/7045]	Time 0.449 (0.248)	Data 0.398 (0.185)	Loss 4.9214 (5.0043)	Prec@1 5.859 (4.746)	Prec@5 19.922 (16.157)
Epoch: [28][3330/7045]	Time 0.300 (0.248)	Data 0.245 (0.185)	Loss 5.0796 (5.0044)	Prec@1 1.562 (4.745)	Prec@5 11.719 (16.155)
Epoch: [28][3340/7045]	Time 0.463 (0.248)	Data 0.406 (0.185)	Loss 5.0049 (5.0044)	Prec@1 4.688 (4.746)	Prec@5 17.188 (16.158)
Epoch: [28][3350/7045]	Time 0.237 (0.248)	Data 0.184 (0.185)	Loss 5.2080 (5.0045)	Prec@1 4.688 (4.745)	Prec@5 18.359 (16.154)
Epoch: [28][3360/7045]	Time 0.333 (0.248)	Data 0.281 (0.185)	Loss 4.9215 (5.0046)	Prec@1 5.078 (4.744)	Prec@5 20.703 (16.151)
Epoch: [28][3370/7045]	Time 0.101 (0.248)	Data 0.003 (0.185)	Loss 4.9649 (5.0047)	Prec@1 4.297 (4.744)	Prec@5 17.969 (16.151)
Epoch: [28][3380/7045]	Time 0.392 (0.248)	Data 0.342 (0.185)	Loss 5.0280 (5.0046)	Prec@1 2.734 (4.746)	Prec@5 14.062 (16.154)
Epoch: [28][3390/7045]	Time 0.102 (0.248)	Data 0.019 (0.185)	Loss 4.9280 (5.0047)	Prec@1 5.859 (4.746)	Prec@5 15.625 (16.153)
Epoch: [28][3400/7045]	Time 0.187 (0.248)	Data 0.136 (0.185)	Loss 5.0722 (5.0049)	Prec@1 5.469 (4.745)	Prec@5 15.234 (16.150)
Epoch: [28][3410/7045]	Time 0.126 (0.248)	Data 0.066 (0.185)	Loss 5.1728 (5.0049)	Prec@1 3.906 (4.744)	Prec@5 10.938 (16.151)
Epoch: [28][3420/7045]	Time 0.326 (0.248)	Data 0.275 (0.185)	Loss 4.9862 (5.0049)	Prec@1 5.078 (4.746)	Prec@5 17.188 (16.151)
Epoch: [28][3430/7045]	Time 0.185 (0.248)	Data 0.134 (0.185)	Loss 5.0117 (5.0050)	Prec@1 3.516 (4.747)	Prec@5 13.672 (16.150)
Epoch: [28][3440/7045]	Time 0.300 (0.248)	Data 0.249 (0.185)	Loss 5.0657 (5.0051)	Prec@1 5.469 (4.748)	Prec@5 11.719 (16.148)
Epoch: [28][3450/7045]	Time 0.261 (0.248)	Data 0.210 (0.185)	Loss 5.0061 (5.0050)	Prec@1 7.031 (4.749)	Prec@5 17.969 (16.150)
Epoch: [28][3460/7045]	Time 0.214 (0.248)	Data 0.164 (0.185)	Loss 5.0261 (5.0049)	Prec@1 5.469 (4.749)	Prec@5 14.844 (16.154)
Epoch: [28][3470/7045]	Time 0.235 (0.248)	Data 0.176 (0.185)	Loss 4.8590 (5.0047)	Prec@1 4.297 (4.749)	Prec@5 17.188 (16.156)
Epoch: [28][3480/7045]	Time 0.250 (0.248)	Data 0.199 (0.185)	Loss 4.8748 (5.0046)	Prec@1 4.688 (4.751)	Prec@5 20.703 (16.161)
Epoch: [28][3490/7045]	Time 0.251 (0.248)	Data 0.198 (0.185)	Loss 5.1640 (5.0047)	Prec@1 4.297 (4.751)	Prec@5 14.453 (16.160)
Epoch: [28][3500/7045]	Time 0.437 (0.248)	Data 0.385 (0.185)	Loss 4.8792 (5.0047)	Prec@1 5.859 (4.750)	Prec@5 19.922 (16.159)
Epoch: [28][3510/7045]	Time 0.229 (0.248)	Data 0.179 (0.185)	Loss 5.0043 (5.0047)	Prec@1 4.297 (4.750)	Prec@5 13.672 (16.156)
Epoch: [28][3520/7045]	Time 0.503 (0.248)	Data 0.453 (0.185)	Loss 4.8396 (5.0045)	Prec@1 3.125 (4.749)	Prec@5 18.359 (16.160)
Epoch: [28][3530/7045]	Time 0.118 (0.248)	Data 0.068 (0.185)	Loss 5.0915 (5.0044)	Prec@1 2.734 (4.750)	Prec@5 10.547 (16.162)
Epoch: [28][3540/7045]	Time 0.504 (0.248)	Data 0.452 (0.185)	Loss 4.9616 (5.0045)	Prec@1 3.125 (4.748)	Prec@5 16.797 (16.158)
Epoch: [28][3550/7045]	Time 0.106 (0.248)	Data 0.001 (0.185)	Loss 5.0625 (5.0045)	Prec@1 5.859 (4.748)	Prec@5 12.891 (16.157)
Epoch: [28][3560/7045]	Time 0.670 (0.248)	Data 0.618 (0.185)	Loss 5.0347 (5.0046)	Prec@1 3.906 (4.749)	Prec@5 16.016 (16.156)
Epoch: [28][3570/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 5.0118 (5.0047)	Prec@1 5.859 (4.750)	Prec@5 16.797 (16.156)
Epoch: [28][3580/7045]	Time 0.321 (0.248)	Data 0.269 (0.185)	Loss 5.1023 (5.0049)	Prec@1 1.953 (4.749)	Prec@5 15.625 (16.152)
Epoch: [28][3590/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 5.0205 (5.0048)	Prec@1 4.688 (4.748)	Prec@5 17.188 (16.150)
Epoch: [28][3600/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 5.1261 (5.0048)	Prec@1 4.297 (4.747)	Prec@5 14.062 (16.148)
Epoch: [28][3610/7045]	Time 0.109 (0.248)	Data 0.056 (0.184)	Loss 5.1554 (5.0050)	Prec@1 2.734 (4.745)	Prec@5 13.672 (16.143)
Epoch: [28][3620/7045]	Time 0.109 (0.248)	Data 0.057 (0.185)	Loss 5.2210 (5.0053)	Prec@1 5.078 (4.743)	Prec@5 14.062 (16.137)
Epoch: [28][3630/7045]	Time 0.102 (0.248)	Data 0.009 (0.184)	Loss 5.0534 (5.0054)	Prec@1 4.297 (4.743)	Prec@5 14.062 (16.138)
Epoch: [28][3640/7045]	Time 0.185 (0.248)	Data 0.134 (0.185)	Loss 4.9914 (5.0054)	Prec@1 4.297 (4.742)	Prec@5 16.016 (16.141)
Epoch: [28][3650/7045]	Time 0.102 (0.248)	Data 0.010 (0.184)	Loss 5.0705 (5.0054)	Prec@1 4.297 (4.742)	Prec@5 14.453 (16.141)
Epoch: [28][3660/7045]	Time 0.103 (0.248)	Data 0.049 (0.184)	Loss 4.9572 (5.0053)	Prec@1 5.469 (4.743)	Prec@5 16.406 (16.142)
Epoch: [28][3670/7045]	Time 0.109 (0.248)	Data 0.057 (0.184)	Loss 5.0397 (5.0053)	Prec@1 5.469 (4.742)	Prec@5 15.625 (16.142)
Epoch: [28][3680/7045]	Time 0.168 (0.248)	Data 0.115 (0.184)	Loss 5.1412 (5.0055)	Prec@1 3.516 (4.741)	Prec@5 15.625 (16.139)
Epoch: [28][3690/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 5.0421 (5.0056)	Prec@1 4.688 (4.740)	Prec@5 16.016 (16.137)
Epoch: [28][3700/7045]	Time 0.137 (0.248)	Data 0.086 (0.184)	Loss 4.9898 (5.0055)	Prec@1 5.859 (4.743)	Prec@5 14.453 (16.140)
Epoch: [28][3710/7045]	Time 0.269 (0.248)	Data 0.218 (0.185)	Loss 4.9945 (5.0056)	Prec@1 4.688 (4.743)	Prec@5 17.578 (16.139)
Epoch: [28][3720/7045]	Time 0.175 (0.248)	Data 0.124 (0.184)	Loss 4.9147 (5.0056)	Prec@1 3.906 (4.742)	Prec@5 14.844 (16.138)
Epoch: [28][3730/7045]	Time 0.491 (0.248)	Data 0.440 (0.185)	Loss 5.0533 (5.0055)	Prec@1 3.516 (4.743)	Prec@5 16.016 (16.142)
Epoch: [28][3740/7045]	Time 0.110 (0.248)	Data 0.003 (0.185)	Loss 4.9632 (5.0055)	Prec@1 5.078 (4.743)	Prec@5 17.969 (16.141)
Epoch: [28][3750/7045]	Time 0.642 (0.248)	Data 0.590 (0.185)	Loss 5.0703 (5.0056)	Prec@1 7.031 (4.742)	Prec@5 17.578 (16.142)
Epoch: [28][3760/7045]	Time 0.101 (0.248)	Data 0.004 (0.184)	Loss 5.1804 (5.0057)	Prec@1 4.297 (4.743)	Prec@5 14.062 (16.141)
Epoch: [28][3770/7045]	Time 0.447 (0.248)	Data 0.396 (0.184)	Loss 5.0972 (5.0057)	Prec@1 4.688 (4.744)	Prec@5 15.625 (16.141)
Epoch: [28][3780/7045]	Time 0.461 (0.248)	Data 0.409 (0.185)	Loss 5.0090 (5.0057)	Prec@1 4.688 (4.744)	Prec@5 14.844 (16.141)
Epoch: [28][3790/7045]	Time 0.165 (0.248)	Data 0.115 (0.184)	Loss 5.0558 (5.0058)	Prec@1 2.734 (4.742)	Prec@5 14.453 (16.140)
Epoch: [28][3800/7045]	Time 0.564 (0.248)	Data 0.513 (0.185)	Loss 5.0943 (5.0059)	Prec@1 4.297 (4.743)	Prec@5 15.234 (16.136)
Epoch: [28][3810/7045]	Time 0.104 (0.248)	Data 0.050 (0.184)	Loss 4.9155 (5.0059)	Prec@1 5.859 (4.743)	Prec@5 17.188 (16.139)
Epoch: [28][3820/7045]	Time 0.323 (0.248)	Data 0.272 (0.184)	Loss 4.8949 (5.0059)	Prec@1 5.469 (4.742)	Prec@5 23.047 (16.142)
Epoch: [28][3830/7045]	Time 0.101 (0.248)	Data 0.047 (0.184)	Loss 5.1563 (5.0059)	Prec@1 3.516 (4.741)	Prec@5 12.500 (16.139)
Epoch: [28][3840/7045]	Time 0.122 (0.248)	Data 0.068 (0.184)	Loss 4.9555 (5.0062)	Prec@1 3.125 (4.738)	Prec@5 17.188 (16.136)
Epoch: [28][3850/7045]	Time 0.102 (0.248)	Data 0.050 (0.184)	Loss 4.8693 (5.0062)	Prec@1 6.641 (4.737)	Prec@5 18.750 (16.134)
Epoch: [28][3860/7045]	Time 0.102 (0.248)	Data 0.023 (0.184)	Loss 4.9666 (5.0063)	Prec@1 6.250 (4.738)	Prec@5 19.141 (16.136)
Epoch: [28][3870/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 4.9518 (5.0063)	Prec@1 5.469 (4.739)	Prec@5 15.234 (16.135)
Epoch: [28][3880/7045]	Time 0.172 (0.248)	Data 0.120 (0.184)	Loss 5.0573 (5.0065)	Prec@1 3.125 (4.736)	Prec@5 16.016 (16.131)
Epoch: [28][3890/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 5.1279 (5.0065)	Prec@1 5.078 (4.735)	Prec@5 14.844 (16.128)
Epoch: [28][3900/7045]	Time 0.196 (0.248)	Data 0.144 (0.184)	Loss 5.0900 (5.0066)	Prec@1 4.297 (4.735)	Prec@5 14.844 (16.127)
Epoch: [28][3910/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 5.0125 (5.0068)	Prec@1 5.859 (4.734)	Prec@5 18.359 (16.126)
Epoch: [28][3920/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 5.0495 (5.0068)	Prec@1 6.641 (4.735)	Prec@5 19.531 (16.128)
Epoch: [28][3930/7045]	Time 0.103 (0.248)	Data 0.001 (0.184)	Loss 5.0284 (5.0069)	Prec@1 5.078 (4.733)	Prec@5 15.625 (16.126)
Epoch: [28][3940/7045]	Time 0.148 (0.248)	Data 0.089 (0.184)	Loss 4.9973 (5.0069)	Prec@1 4.688 (4.732)	Prec@5 14.062 (16.125)
Epoch: [28][3950/7045]	Time 0.254 (0.248)	Data 0.202 (0.184)	Loss 4.9858 (5.0070)	Prec@1 3.906 (4.732)	Prec@5 11.328 (16.124)
Epoch: [28][3960/7045]	Time 0.108 (0.248)	Data 0.057 (0.184)	Loss 4.9797 (5.0070)	Prec@1 1.953 (4.732)	Prec@5 12.109 (16.124)
Epoch: [28][3970/7045]	Time 0.503 (0.248)	Data 0.452 (0.184)	Loss 5.0675 (5.0070)	Prec@1 2.734 (4.732)	Prec@5 14.453 (16.123)
Epoch: [28][3980/7045]	Time 0.178 (0.248)	Data 0.117 (0.184)	Loss 4.8395 (5.0069)	Prec@1 6.250 (4.732)	Prec@5 19.141 (16.125)
Epoch: [28][3990/7045]	Time 0.462 (0.248)	Data 0.409 (0.184)	Loss 4.9262 (5.0068)	Prec@1 5.078 (4.733)	Prec@5 16.016 (16.126)
Epoch: [28][4000/7045]	Time 0.268 (0.248)	Data 0.210 (0.184)	Loss 4.7491 (5.0066)	Prec@1 4.688 (4.734)	Prec@5 20.312 (16.131)
Epoch: [28][4010/7045]	Time 0.307 (0.248)	Data 0.257 (0.184)	Loss 5.0748 (5.0066)	Prec@1 4.688 (4.733)	Prec@5 10.547 (16.129)
Epoch: [28][4020/7045]	Time 0.240 (0.248)	Data 0.187 (0.184)	Loss 5.0037 (5.0065)	Prec@1 2.344 (4.732)	Prec@5 14.453 (16.128)
Epoch: [28][4030/7045]	Time 0.283 (0.248)	Data 0.232 (0.184)	Loss 4.9829 (5.0065)	Prec@1 2.344 (4.733)	Prec@5 17.188 (16.130)
Epoch: [28][4040/7045]	Time 0.172 (0.248)	Data 0.120 (0.184)	Loss 5.0339 (5.0066)	Prec@1 7.031 (4.734)	Prec@5 18.359 (16.131)
Epoch: [28][4050/7045]	Time 0.224 (0.248)	Data 0.173 (0.184)	Loss 4.8901 (5.0066)	Prec@1 3.906 (4.735)	Prec@5 18.750 (16.132)
Epoch: [28][4060/7045]	Time 0.102 (0.248)	Data 0.016 (0.184)	Loss 4.9488 (5.0065)	Prec@1 3.516 (4.736)	Prec@5 14.453 (16.134)
Epoch: [28][4070/7045]	Time 0.239 (0.248)	Data 0.187 (0.184)	Loss 5.0367 (5.0065)	Prec@1 6.250 (4.737)	Prec@5 17.188 (16.136)
Epoch: [28][4080/7045]	Time 0.141 (0.248)	Data 0.088 (0.184)	Loss 4.9680 (5.0065)	Prec@1 3.906 (4.737)	Prec@5 17.969 (16.136)
Epoch: [28][4090/7045]	Time 0.351 (0.248)	Data 0.299 (0.184)	Loss 5.0088 (5.0065)	Prec@1 5.078 (4.737)	Prec@5 16.406 (16.135)
Epoch: [28][4100/7045]	Time 0.155 (0.248)	Data 0.096 (0.184)	Loss 5.1211 (5.0065)	Prec@1 4.297 (4.736)	Prec@5 14.453 (16.134)
Epoch: [28][4110/7045]	Time 0.308 (0.248)	Data 0.257 (0.184)	Loss 5.1255 (5.0066)	Prec@1 6.250 (4.737)	Prec@5 15.625 (16.135)
Epoch: [28][4120/7045]	Time 0.269 (0.248)	Data 0.218 (0.184)	Loss 4.9984 (5.0067)	Prec@1 5.469 (4.737)	Prec@5 17.188 (16.133)
Epoch: [28][4130/7045]	Time 0.104 (0.248)	Data 0.052 (0.184)	Loss 4.9241 (5.0067)	Prec@1 4.688 (4.738)	Prec@5 14.844 (16.134)
Epoch: [28][4140/7045]	Time 0.320 (0.248)	Data 0.269 (0.184)	Loss 5.0371 (5.0067)	Prec@1 4.297 (4.738)	Prec@5 14.453 (16.135)
Epoch: [28][4150/7045]	Time 0.102 (0.248)	Data 0.017 (0.184)	Loss 5.0146 (5.0067)	Prec@1 4.688 (4.738)	Prec@5 17.969 (16.134)
Epoch: [28][4160/7045]	Time 0.433 (0.248)	Data 0.382 (0.184)	Loss 5.1479 (5.0070)	Prec@1 2.734 (4.738)	Prec@5 12.500 (16.130)
Epoch: [28][4170/7045]	Time 0.197 (0.248)	Data 0.137 (0.184)	Loss 5.1139 (5.0070)	Prec@1 5.078 (4.736)	Prec@5 12.500 (16.129)
Epoch: [28][4180/7045]	Time 0.485 (0.248)	Data 0.424 (0.184)	Loss 5.3226 (5.0071)	Prec@1 2.344 (4.735)	Prec@5 11.328 (16.127)
Epoch: [28][4190/7045]	Time 0.206 (0.248)	Data 0.155 (0.184)	Loss 5.1232 (5.0075)	Prec@1 1.562 (4.731)	Prec@5 13.672 (16.122)
Epoch: [28][4200/7045]	Time 0.542 (0.248)	Data 0.491 (0.184)	Loss 5.0753 (5.0077)	Prec@1 4.688 (4.729)	Prec@5 16.797 (16.119)
Epoch: [28][4210/7045]	Time 0.098 (0.248)	Data 0.001 (0.184)	Loss 5.0728 (5.0078)	Prec@1 4.297 (4.730)	Prec@5 16.016 (16.117)
Epoch: [28][4220/7045]	Time 0.120 (0.248)	Data 0.070 (0.184)	Loss 5.0054 (5.0077)	Prec@1 5.859 (4.733)	Prec@5 17.188 (16.120)
Epoch: [28][4230/7045]	Time 0.250 (0.248)	Data 0.191 (0.184)	Loss 4.8999 (5.0077)	Prec@1 5.078 (4.733)	Prec@5 17.578 (16.121)
Epoch: [28][4240/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 4.9180 (5.0076)	Prec@1 5.078 (4.734)	Prec@5 18.750 (16.122)
Epoch: [28][4250/7045]	Time 0.238 (0.248)	Data 0.188 (0.184)	Loss 4.9717 (5.0076)	Prec@1 5.078 (4.734)	Prec@5 17.188 (16.122)
Epoch: [28][4260/7045]	Time 0.214 (0.248)	Data 0.162 (0.184)	Loss 5.0003 (5.0077)	Prec@1 6.641 (4.734)	Prec@5 17.188 (16.122)
Epoch: [28][4270/7045]	Time 0.190 (0.248)	Data 0.138 (0.184)	Loss 4.9062 (5.0080)	Prec@1 4.688 (4.731)	Prec@5 15.625 (16.118)
Epoch: [28][4280/7045]	Time 0.365 (0.248)	Data 0.315 (0.184)	Loss 5.0861 (5.0081)	Prec@1 4.297 (4.731)	Prec@5 13.281 (16.118)
Epoch: [28][4290/7045]	Time 0.101 (0.248)	Data 0.044 (0.184)	Loss 4.8920 (5.0079)	Prec@1 5.469 (4.732)	Prec@5 17.578 (16.119)
Epoch: [28][4300/7045]	Time 0.615 (0.248)	Data 0.563 (0.184)	Loss 4.9841 (5.0080)	Prec@1 6.641 (4.732)	Prec@5 15.234 (16.118)
Epoch: [28][4310/7045]	Time 0.295 (0.248)	Data 0.245 (0.184)	Loss 4.9751 (5.0080)	Prec@1 4.297 (4.732)	Prec@5 16.016 (16.118)
Epoch: [28][4320/7045]	Time 0.179 (0.248)	Data 0.127 (0.184)	Loss 4.9124 (5.0079)	Prec@1 6.250 (4.733)	Prec@5 18.750 (16.123)
Epoch: [28][4330/7045]	Time 0.124 (0.248)	Data 0.073 (0.184)	Loss 5.0351 (5.0079)	Prec@1 3.906 (4.735)	Prec@5 14.844 (16.124)
Epoch: [28][4340/7045]	Time 0.106 (0.248)	Data 0.054 (0.184)	Loss 5.0178 (5.0078)	Prec@1 3.906 (4.736)	Prec@5 16.016 (16.126)
Epoch: [28][4350/7045]	Time 0.438 (0.248)	Data 0.387 (0.184)	Loss 4.9728 (5.0077)	Prec@1 4.688 (4.736)	Prec@5 18.359 (16.128)
Epoch: [28][4360/7045]	Time 0.110 (0.248)	Data 0.001 (0.184)	Loss 4.9755 (5.0076)	Prec@1 3.906 (4.737)	Prec@5 17.188 (16.129)
Epoch: [28][4370/7045]	Time 0.802 (0.248)	Data 0.743 (0.184)	Loss 4.8947 (5.0075)	Prec@1 5.078 (4.738)	Prec@5 17.969 (16.130)
Epoch: [28][4380/7045]	Time 0.105 (0.248)	Data 0.053 (0.184)	Loss 5.0275 (5.0074)	Prec@1 5.469 (4.740)	Prec@5 19.141 (16.134)
Epoch: [28][4390/7045]	Time 0.567 (0.248)	Data 0.516 (0.184)	Loss 4.9571 (5.0073)	Prec@1 2.344 (4.739)	Prec@5 16.406 (16.136)
Epoch: [28][4400/7045]	Time 0.109 (0.248)	Data 0.001 (0.184)	Loss 5.0222 (5.0073)	Prec@1 5.469 (4.739)	Prec@5 15.234 (16.135)
Epoch: [28][4410/7045]	Time 0.542 (0.248)	Data 0.491 (0.184)	Loss 5.0471 (5.0074)	Prec@1 3.125 (4.738)	Prec@5 13.672 (16.134)
Epoch: [28][4420/7045]	Time 0.102 (0.248)	Data 0.008 (0.184)	Loss 4.9179 (5.0073)	Prec@1 4.688 (4.739)	Prec@5 16.406 (16.137)
Epoch: [28][4430/7045]	Time 0.353 (0.248)	Data 0.302 (0.184)	Loss 5.3643 (5.0073)	Prec@1 2.344 (4.739)	Prec@5 10.156 (16.136)
Epoch: [28][4440/7045]	Time 0.110 (0.248)	Data 0.001 (0.184)	Loss 5.0297 (5.0072)	Prec@1 4.297 (4.739)	Prec@5 14.844 (16.136)
Epoch: [28][4450/7045]	Time 0.496 (0.248)	Data 0.445 (0.184)	Loss 4.9857 (5.0072)	Prec@1 7.812 (4.740)	Prec@5 18.750 (16.136)
Epoch: [28][4460/7045]	Time 0.197 (0.248)	Data 0.146 (0.184)	Loss 4.9834 (5.0071)	Prec@1 5.859 (4.738)	Prec@5 17.188 (16.137)
Epoch: [28][4470/7045]	Time 0.460 (0.248)	Data 0.409 (0.184)	Loss 4.9984 (5.0070)	Prec@1 3.906 (4.738)	Prec@5 16.016 (16.139)
Epoch: [28][4480/7045]	Time 0.365 (0.248)	Data 0.314 (0.184)	Loss 4.8776 (5.0069)	Prec@1 5.859 (4.737)	Prec@5 17.969 (16.140)
Epoch: [28][4490/7045]	Time 0.314 (0.248)	Data 0.262 (0.184)	Loss 5.2173 (5.0069)	Prec@1 3.125 (4.737)	Prec@5 11.719 (16.140)
Epoch: [28][4500/7045]	Time 0.609 (0.248)	Data 0.558 (0.184)	Loss 4.9360 (5.0070)	Prec@1 3.516 (4.737)	Prec@5 19.531 (16.139)
Epoch: [28][4510/7045]	Time 0.102 (0.248)	Data 0.048 (0.184)	Loss 4.9800 (5.0069)	Prec@1 3.125 (4.737)	Prec@5 16.016 (16.141)
Epoch: [28][4520/7045]	Time 0.481 (0.248)	Data 0.429 (0.184)	Loss 5.0684 (5.0069)	Prec@1 3.906 (4.737)	Prec@5 14.062 (16.141)
Epoch: [28][4530/7045]	Time 0.109 (0.248)	Data 0.010 (0.184)	Loss 4.9285 (5.0070)	Prec@1 2.734 (4.737)	Prec@5 14.844 (16.139)
Epoch: [28][4540/7045]	Time 0.499 (0.248)	Data 0.448 (0.184)	Loss 4.9451 (5.0069)	Prec@1 3.906 (4.736)	Prec@5 21.875 (16.140)
Epoch: [28][4550/7045]	Time 0.132 (0.248)	Data 0.080 (0.184)	Loss 4.8927 (5.0068)	Prec@1 5.859 (4.736)	Prec@5 19.531 (16.144)
Epoch: [28][4560/7045]	Time 0.397 (0.248)	Data 0.347 (0.184)	Loss 4.9973 (5.0067)	Prec@1 5.078 (4.736)	Prec@5 16.797 (16.145)
Epoch: [28][4570/7045]	Time 0.154 (0.248)	Data 0.102 (0.184)	Loss 4.9383 (5.0065)	Prec@1 2.344 (4.736)	Prec@5 15.234 (16.146)
Epoch: [28][4580/7045]	Time 0.638 (0.248)	Data 0.587 (0.184)	Loss 5.0896 (5.0065)	Prec@1 4.688 (4.735)	Prec@5 16.406 (16.147)
Epoch: [28][4590/7045]	Time 0.112 (0.248)	Data 0.001 (0.184)	Loss 5.0171 (5.0066)	Prec@1 3.906 (4.735)	Prec@5 14.062 (16.146)
Epoch: [28][4600/7045]	Time 0.584 (0.248)	Data 0.533 (0.184)	Loss 5.1212 (5.0067)	Prec@1 2.344 (4.734)	Prec@5 12.500 (16.142)
Epoch: [28][4610/7045]	Time 0.112 (0.248)	Data 0.001 (0.184)	Loss 4.9763 (5.0068)	Prec@1 3.516 (4.732)	Prec@5 14.844 (16.140)
Epoch: [28][4620/7045]	Time 0.574 (0.248)	Data 0.521 (0.184)	Loss 5.1958 (5.0069)	Prec@1 3.906 (4.731)	Prec@5 15.234 (16.138)
Epoch: [28][4630/7045]	Time 0.131 (0.248)	Data 0.075 (0.184)	Loss 5.0364 (5.0069)	Prec@1 4.688 (4.730)	Prec@5 16.016 (16.137)
Epoch: [28][4640/7045]	Time 0.529 (0.248)	Data 0.478 (0.184)	Loss 5.0929 (5.0070)	Prec@1 4.688 (4.731)	Prec@5 10.938 (16.136)
Epoch: [28][4650/7045]	Time 0.108 (0.248)	Data 0.055 (0.184)	Loss 4.9981 (5.0070)	Prec@1 5.469 (4.732)	Prec@5 15.234 (16.137)
Epoch: [28][4660/7045]	Time 0.383 (0.248)	Data 0.331 (0.184)	Loss 5.0855 (5.0070)	Prec@1 3.906 (4.731)	Prec@5 14.453 (16.133)
Epoch: [28][4670/7045]	Time 0.188 (0.248)	Data 0.127 (0.184)	Loss 5.0315 (5.0070)	Prec@1 2.734 (4.730)	Prec@5 17.188 (16.134)
Epoch: [28][4680/7045]	Time 0.112 (0.248)	Data 0.061 (0.184)	Loss 4.9473 (5.0069)	Prec@1 6.250 (4.731)	Prec@5 18.359 (16.137)
Epoch: [28][4690/7045]	Time 0.328 (0.248)	Data 0.267 (0.184)	Loss 4.9410 (5.0069)	Prec@1 8.594 (4.731)	Prec@5 20.312 (16.137)
Epoch: [28][4700/7045]	Time 0.267 (0.248)	Data 0.217 (0.184)	Loss 4.9817 (5.0069)	Prec@1 4.688 (4.731)	Prec@5 18.750 (16.139)
Epoch: [28][4710/7045]	Time 0.247 (0.248)	Data 0.195 (0.184)	Loss 4.9841 (5.0071)	Prec@1 4.688 (4.729)	Prec@5 16.016 (16.136)
Epoch: [28][4720/7045]	Time 0.174 (0.248)	Data 0.122 (0.184)	Loss 5.0070 (5.0071)	Prec@1 5.469 (4.728)	Prec@5 16.406 (16.134)
Epoch: [28][4730/7045]	Time 0.274 (0.248)	Data 0.223 (0.184)	Loss 5.0183 (5.0072)	Prec@1 4.688 (4.727)	Prec@5 18.359 (16.133)
Epoch: [28][4740/7045]	Time 0.102 (0.248)	Data 0.048 (0.184)	Loss 5.0719 (5.0073)	Prec@1 4.688 (4.727)	Prec@5 13.281 (16.132)
Epoch: [28][4750/7045]	Time 0.463 (0.248)	Data 0.407 (0.184)	Loss 5.2202 (5.0076)	Prec@1 1.953 (4.725)	Prec@5 10.938 (16.128)
Epoch: [28][4760/7045]	Time 0.116 (0.248)	Data 0.065 (0.184)	Loss 5.0341 (5.0076)	Prec@1 5.469 (4.724)	Prec@5 18.359 (16.130)
Epoch: [28][4770/7045]	Time 0.507 (0.248)	Data 0.456 (0.184)	Loss 5.0485 (5.0076)	Prec@1 6.250 (4.724)	Prec@5 14.453 (16.133)
Epoch: [28][4780/7045]	Time 0.169 (0.248)	Data 0.118 (0.184)	Loss 5.1395 (5.0076)	Prec@1 5.078 (4.725)	Prec@5 12.109 (16.133)
Epoch: [28][4790/7045]	Time 0.259 (0.248)	Data 0.207 (0.184)	Loss 4.9744 (5.0075)	Prec@1 4.688 (4.725)	Prec@5 18.359 (16.134)
Epoch: [28][4800/7045]	Time 0.138 (0.248)	Data 0.086 (0.184)	Loss 4.7771 (5.0075)	Prec@1 7.812 (4.726)	Prec@5 21.094 (16.134)
Epoch: [28][4810/7045]	Time 0.285 (0.248)	Data 0.234 (0.184)	Loss 4.9319 (5.0073)	Prec@1 4.688 (4.726)	Prec@5 14.844 (16.137)
Epoch: [28][4820/7045]	Time 0.177 (0.248)	Data 0.126 (0.184)	Loss 4.8713 (5.0073)	Prec@1 8.594 (4.726)	Prec@5 18.359 (16.136)
Epoch: [28][4830/7045]	Time 0.307 (0.248)	Data 0.256 (0.184)	Loss 4.9369 (5.0073)	Prec@1 7.422 (4.728)	Prec@5 18.359 (16.138)
Epoch: [28][4840/7045]	Time 0.125 (0.248)	Data 0.073 (0.184)	Loss 4.9383 (5.0073)	Prec@1 4.688 (4.727)	Prec@5 17.188 (16.136)
Epoch: [28][4850/7045]	Time 0.101 (0.248)	Data 0.001 (0.184)	Loss 4.9866 (5.0072)	Prec@1 6.641 (4.727)	Prec@5 19.922 (16.139)
Epoch: [28][4860/7045]	Time 0.233 (0.248)	Data 0.181 (0.184)	Loss 4.9020 (5.0072)	Prec@1 2.344 (4.726)	Prec@5 17.578 (16.140)
Epoch: [28][4870/7045]	Time 0.104 (0.248)	Data 0.003 (0.184)	Loss 5.1372 (5.0072)	Prec@1 6.250 (4.726)	Prec@5 14.453 (16.140)
Epoch: [28][4880/7045]	Time 0.405 (0.248)	Data 0.347 (0.184)	Loss 4.9923 (5.0071)	Prec@1 4.688 (4.726)	Prec@5 16.016 (16.142)
Epoch: [28][4890/7045]	Time 0.104 (0.248)	Data 0.001 (0.184)	Loss 4.7908 (5.0071)	Prec@1 7.422 (4.728)	Prec@5 23.047 (16.144)
Epoch: [28][4900/7045]	Time 0.102 (0.248)	Data 0.050 (0.184)	Loss 5.0771 (5.0070)	Prec@1 5.859 (4.728)	Prec@5 16.406 (16.144)
Epoch: [28][4910/7045]	Time 0.101 (0.248)	Data 0.002 (0.184)	Loss 4.9191 (5.0069)	Prec@1 4.297 (4.729)	Prec@5 16.797 (16.147)
Epoch: [28][4920/7045]	Time 0.221 (0.248)	Data 0.170 (0.184)	Loss 4.9014 (5.0068)	Prec@1 4.688 (4.729)	Prec@5 16.797 (16.148)
Epoch: [28][4930/7045]	Time 0.102 (0.248)	Data 0.005 (0.184)	Loss 5.0272 (5.0067)	Prec@1 4.688 (4.730)	Prec@5 15.625 (16.150)
Epoch: [28][4940/7045]	Time 0.116 (0.248)	Data 0.063 (0.184)	Loss 5.0750 (5.0067)	Prec@1 3.516 (4.729)	Prec@5 9.766 (16.149)
Epoch: [28][4950/7045]	Time 0.112 (0.248)	Data 0.060 (0.184)	Loss 4.9877 (5.0067)	Prec@1 4.297 (4.728)	Prec@5 15.234 (16.146)
Epoch: [28][4960/7045]	Time 0.101 (0.248)	Data 0.008 (0.184)	Loss 4.9961 (5.0068)	Prec@1 4.688 (4.727)	Prec@5 18.359 (16.142)
Epoch: [28][4970/7045]	Time 0.155 (0.248)	Data 0.103 (0.184)	Loss 4.8175 (5.0068)	Prec@1 5.078 (4.728)	Prec@5 20.312 (16.141)
Epoch: [28][4980/7045]	Time 0.154 (0.248)	Data 0.103 (0.184)	Loss 4.9719 (5.0068)	Prec@1 3.125 (4.727)	Prec@5 14.453 (16.140)
Epoch: [28][4990/7045]	Time 0.132 (0.248)	Data 0.080 (0.184)	Loss 4.9684 (5.0067)	Prec@1 4.297 (4.727)	Prec@5 16.797 (16.142)
Epoch: [28][5000/7045]	Time 0.122 (0.248)	Data 0.069 (0.184)	Loss 4.9792 (5.0067)	Prec@1 5.859 (4.728)	Prec@5 21.094 (16.142)
Epoch: [28][5010/7045]	Time 0.158 (0.248)	Data 0.107 (0.184)	Loss 5.0176 (5.0066)	Prec@1 3.516 (4.726)	Prec@5 15.625 (16.142)
Epoch: [28][5020/7045]	Time 0.155 (0.248)	Data 0.103 (0.184)	Loss 4.8354 (5.0066)	Prec@1 3.906 (4.726)	Prec@5 21.094 (16.144)
Epoch: [28][5030/7045]	Time 0.099 (0.248)	Data 0.048 (0.184)	Loss 4.9513 (5.0066)	Prec@1 6.641 (4.727)	Prec@5 16.797 (16.144)
Epoch: [28][5040/7045]	Time 0.233 (0.248)	Data 0.182 (0.184)	Loss 4.9831 (5.0066)	Prec@1 5.859 (4.727)	Prec@5 16.406 (16.144)
Epoch: [28][5050/7045]	Time 0.102 (0.248)	Data 0.012 (0.184)	Loss 5.1076 (5.0066)	Prec@1 4.297 (4.728)	Prec@5 13.281 (16.143)
Epoch: [28][5060/7045]	Time 0.395 (0.248)	Data 0.343 (0.184)	Loss 4.8665 (5.0066)	Prec@1 6.641 (4.729)	Prec@5 22.656 (16.143)
Epoch: [28][5070/7045]	Time 0.101 (0.248)	Data 0.045 (0.184)	Loss 5.1001 (5.0066)	Prec@1 1.953 (4.727)	Prec@5 13.672 (16.141)
Epoch: [28][5080/7045]	Time 0.689 (0.248)	Data 0.632 (0.184)	Loss 4.8604 (5.0065)	Prec@1 7.812 (4.728)	Prec@5 18.359 (16.143)
Epoch: [28][5090/7045]	Time 0.109 (0.248)	Data 0.001 (0.184)	Loss 5.0622 (5.0064)	Prec@1 2.734 (4.728)	Prec@5 16.016 (16.143)
Epoch: [28][5100/7045]	Time 0.572 (0.248)	Data 0.521 (0.184)	Loss 4.9884 (5.0063)	Prec@1 3.906 (4.728)	Prec@5 16.406 (16.145)
Epoch: [28][5110/7045]	Time 0.324 (0.248)	Data 0.273 (0.184)	Loss 5.0531 (5.0062)	Prec@1 4.688 (4.728)	Prec@5 15.625 (16.147)
Epoch: [28][5120/7045]	Time 0.109 (0.248)	Data 0.056 (0.184)	Loss 4.9940 (5.0062)	Prec@1 3.125 (4.728)	Prec@5 16.797 (16.147)
Epoch: [28][5130/7045]	Time 0.189 (0.248)	Data 0.137 (0.184)	Loss 5.1568 (5.0062)	Prec@1 2.734 (4.727)	Prec@5 12.109 (16.146)
Epoch: [28][5140/7045]	Time 0.102 (0.248)	Data 0.012 (0.184)	Loss 5.1895 (5.0064)	Prec@1 3.906 (4.726)	Prec@5 10.938 (16.145)
Epoch: [28][5150/7045]	Time 0.119 (0.248)	Data 0.067 (0.184)	Loss 5.0949 (5.0065)	Prec@1 3.516 (4.724)	Prec@5 16.797 (16.142)
Epoch: [28][5160/7045]	Time 0.102 (0.248)	Data 0.010 (0.184)	Loss 5.0729 (5.0066)	Prec@1 1.562 (4.724)	Prec@5 12.500 (16.143)
Epoch: [28][5170/7045]	Time 0.189 (0.248)	Data 0.137 (0.184)	Loss 5.2248 (5.0068)	Prec@1 3.906 (4.721)	Prec@5 13.672 (16.138)
Epoch: [28][5180/7045]	Time 0.463 (0.248)	Data 0.412 (0.184)	Loss 5.0378 (5.0068)	Prec@1 3.125 (4.722)	Prec@5 15.234 (16.138)
Epoch: [28][5190/7045]	Time 0.237 (0.248)	Data 0.185 (0.184)	Loss 5.2075 (5.0068)	Prec@1 4.297 (4.723)	Prec@5 12.891 (16.139)
Epoch: [28][5200/7045]	Time 0.248 (0.248)	Data 0.198 (0.184)	Loss 5.0693 (5.0069)	Prec@1 4.297 (4.723)	Prec@5 16.797 (16.140)
Epoch: [28][5210/7045]	Time 0.133 (0.248)	Data 0.082 (0.184)	Loss 4.9911 (5.0068)	Prec@1 5.469 (4.722)	Prec@5 14.453 (16.141)
Epoch: [28][5220/7045]	Time 0.321 (0.248)	Data 0.270 (0.184)	Loss 4.9214 (5.0067)	Prec@1 4.688 (4.723)	Prec@5 17.188 (16.141)
Epoch: [28][5230/7045]	Time 0.155 (0.248)	Data 0.104 (0.184)	Loss 4.9452 (5.0067)	Prec@1 4.297 (4.723)	Prec@5 17.188 (16.141)
Epoch: [28][5240/7045]	Time 0.365 (0.248)	Data 0.314 (0.184)	Loss 5.0206 (5.0067)	Prec@1 3.125 (4.723)	Prec@5 14.453 (16.141)
Epoch: [28][5250/7045]	Time 0.104 (0.248)	Data 0.052 (0.184)	Loss 4.9238 (5.0066)	Prec@1 4.688 (4.723)	Prec@5 14.062 (16.142)
Epoch: [28][5260/7045]	Time 0.106 (0.247)	Data 0.054 (0.184)	Loss 4.9812 (5.0065)	Prec@1 5.078 (4.723)	Prec@5 17.188 (16.142)
Epoch: [28][5270/7045]	Time 0.100 (0.247)	Data 0.045 (0.184)	Loss 4.8126 (5.0063)	Prec@1 3.906 (4.725)	Prec@5 19.141 (16.147)
Epoch: [28][5280/7045]	Time 0.223 (0.248)	Data 0.172 (0.184)	Loss 4.9552 (5.0062)	Prec@1 4.688 (4.725)	Prec@5 16.406 (16.147)
Epoch: [28][5290/7045]	Time 0.105 (0.247)	Data 0.052 (0.184)	Loss 5.0020 (5.0061)	Prec@1 5.078 (4.725)	Prec@5 13.281 (16.147)
Epoch: [28][5300/7045]	Time 0.162 (0.248)	Data 0.110 (0.184)	Loss 4.9808 (5.0060)	Prec@1 6.250 (4.725)	Prec@5 17.578 (16.147)
Epoch: [28][5310/7045]	Time 0.100 (0.247)	Data 0.047 (0.184)	Loss 4.8523 (5.0060)	Prec@1 6.250 (4.725)	Prec@5 20.312 (16.149)
Epoch: [28][5320/7045]	Time 0.218 (0.248)	Data 0.167 (0.184)	Loss 5.0532 (5.0060)	Prec@1 3.516 (4.726)	Prec@5 14.062 (16.150)
Epoch: [28][5330/7045]	Time 0.118 (0.247)	Data 0.068 (0.184)	Loss 4.9337 (5.0060)	Prec@1 5.078 (4.727)	Prec@5 17.188 (16.151)
Epoch: [28][5340/7045]	Time 0.101 (0.247)	Data 0.018 (0.184)	Loss 4.8961 (5.0060)	Prec@1 6.250 (4.726)	Prec@5 16.797 (16.150)
Epoch: [28][5350/7045]	Time 0.187 (0.247)	Data 0.135 (0.184)	Loss 5.0269 (5.0060)	Prec@1 1.953 (4.726)	Prec@5 12.109 (16.151)
Epoch: [28][5360/7045]	Time 0.243 (0.248)	Data 0.192 (0.185)	Loss 5.0750 (5.0060)	Prec@1 5.078 (4.726)	Prec@5 14.453 (16.150)
Epoch: [28][5370/7045]	Time 0.150 (0.247)	Data 0.099 (0.184)	Loss 4.9899 (5.0060)	Prec@1 4.297 (4.727)	Prec@5 20.312 (16.153)
Epoch: [28][5380/7045]	Time 0.118 (0.247)	Data 0.059 (0.185)	Loss 5.0557 (5.0060)	Prec@1 7.422 (4.728)	Prec@5 17.578 (16.154)
Epoch: [28][5390/7045]	Time 0.347 (0.247)	Data 0.295 (0.185)	Loss 4.9541 (5.0061)	Prec@1 7.422 (4.729)	Prec@5 15.625 (16.151)
Epoch: [28][5400/7045]	Time 0.102 (0.247)	Data 0.047 (0.184)	Loss 5.0967 (5.0062)	Prec@1 3.516 (4.728)	Prec@5 14.844 (16.150)
Epoch: [28][5410/7045]	Time 0.710 (0.248)	Data 0.660 (0.185)	Loss 5.1625 (5.0063)	Prec@1 3.906 (4.726)	Prec@5 16.406 (16.148)
Epoch: [28][5420/7045]	Time 0.099 (0.247)	Data 0.001 (0.184)	Loss 4.9180 (5.0063)	Prec@1 5.078 (4.727)	Prec@5 19.141 (16.151)
Epoch: [28][5430/7045]	Time 0.640 (0.248)	Data 0.589 (0.184)	Loss 5.0738 (5.0063)	Prec@1 5.078 (4.725)	Prec@5 16.016 (16.151)
Epoch: [28][5440/7045]	Time 0.118 (0.247)	Data 0.067 (0.184)	Loss 4.9874 (5.0064)	Prec@1 5.859 (4.726)	Prec@5 16.797 (16.150)
Epoch: [28][5450/7045]	Time 0.563 (0.247)	Data 0.511 (0.184)	Loss 5.1024 (5.0065)	Prec@1 2.734 (4.725)	Prec@5 14.844 (16.150)
Epoch: [28][5460/7045]	Time 0.102 (0.247)	Data 0.014 (0.184)	Loss 4.9024 (5.0065)	Prec@1 6.250 (4.727)	Prec@5 16.797 (16.149)
Epoch: [28][5470/7045]	Time 0.327 (0.247)	Data 0.275 (0.184)	Loss 5.0029 (5.0066)	Prec@1 2.344 (4.726)	Prec@5 17.969 (16.149)
Epoch: [28][5480/7045]	Time 0.198 (0.247)	Data 0.147 (0.184)	Loss 4.9712 (5.0066)	Prec@1 4.297 (4.727)	Prec@5 16.016 (16.150)
Epoch: [28][5490/7045]	Time 0.290 (0.247)	Data 0.231 (0.184)	Loss 5.0200 (5.0066)	Prec@1 5.469 (4.728)	Prec@5 14.453 (16.151)
Epoch: [28][5500/7045]	Time 0.159 (0.247)	Data 0.108 (0.184)	Loss 4.9829 (5.0066)	Prec@1 5.078 (4.727)	Prec@5 16.797 (16.150)
Epoch: [28][5510/7045]	Time 0.254 (0.247)	Data 0.197 (0.184)	Loss 4.9072 (5.0067)	Prec@1 4.688 (4.727)	Prec@5 18.750 (16.152)
Epoch: [28][5520/7045]	Time 0.134 (0.247)	Data 0.083 (0.184)	Loss 5.0965 (5.0067)	Prec@1 4.688 (4.729)	Prec@5 16.406 (16.150)
Epoch: [28][5530/7045]	Time 0.174 (0.247)	Data 0.124 (0.184)	Loss 4.9953 (5.0068)	Prec@1 3.516 (4.728)	Prec@5 16.406 (16.152)
Epoch: [28][5540/7045]	Time 0.105 (0.247)	Data 0.053 (0.184)	Loss 4.8587 (5.0067)	Prec@1 6.250 (4.729)	Prec@5 18.359 (16.152)
Epoch: [28][5550/7045]	Time 0.239 (0.247)	Data 0.187 (0.184)	Loss 4.8722 (5.0067)	Prec@1 6.641 (4.729)	Prec@5 16.406 (16.151)
Epoch: [28][5560/7045]	Time 0.108 (0.247)	Data 0.057 (0.184)	Loss 4.9447 (5.0066)	Prec@1 4.297 (4.728)	Prec@5 19.531 (16.151)
Epoch: [28][5570/7045]	Time 0.263 (0.247)	Data 0.211 (0.184)	Loss 5.0237 (5.0067)	Prec@1 2.734 (4.725)	Prec@5 17.578 (16.148)
Epoch: [28][5580/7045]	Time 0.316 (0.247)	Data 0.265 (0.184)	Loss 4.8415 (5.0066)	Prec@1 5.078 (4.725)	Prec@5 20.312 (16.149)
Epoch: [28][5590/7045]	Time 0.233 (0.247)	Data 0.182 (0.184)	Loss 5.0790 (5.0066)	Prec@1 5.078 (4.725)	Prec@5 16.797 (16.151)
Epoch: [28][5600/7045]	Time 0.276 (0.247)	Data 0.225 (0.184)	Loss 5.0225 (5.0067)	Prec@1 3.516 (4.725)	Prec@5 13.281 (16.149)
Epoch: [28][5610/7045]	Time 0.261 (0.247)	Data 0.210 (0.184)	Loss 4.8875 (5.0068)	Prec@1 3.516 (4.726)	Prec@5 15.234 (16.149)
Epoch: [28][5620/7045]	Time 0.407 (0.247)	Data 0.356 (0.184)	Loss 5.0026 (5.0067)	Prec@1 3.125 (4.726)	Prec@5 14.844 (16.150)
Epoch: [28][5630/7045]	Time 0.114 (0.247)	Data 0.063 (0.184)	Loss 4.9045 (5.0067)	Prec@1 5.469 (4.725)	Prec@5 18.750 (16.150)
Epoch: [28][5640/7045]	Time 0.502 (0.247)	Data 0.449 (0.184)	Loss 4.9353 (5.0067)	Prec@1 6.641 (4.726)	Prec@5 21.875 (16.151)
Epoch: [28][5650/7045]	Time 0.210 (0.247)	Data 0.160 (0.184)	Loss 4.9439 (5.0067)	Prec@1 5.859 (4.725)	Prec@5 17.188 (16.151)
Epoch: [28][5660/7045]	Time 0.401 (0.247)	Data 0.349 (0.184)	Loss 5.1981 (5.0067)	Prec@1 3.125 (4.726)	Prec@5 14.453 (16.152)
Epoch: [28][5670/7045]	Time 0.173 (0.247)	Data 0.120 (0.184)	Loss 5.1128 (5.0067)	Prec@1 4.297 (4.727)	Prec@5 16.797 (16.154)
Epoch: [28][5680/7045]	Time 0.161 (0.247)	Data 0.109 (0.184)	Loss 5.0821 (5.0068)	Prec@1 4.297 (4.725)	Prec@5 15.625 (16.151)
Epoch: [28][5690/7045]	Time 0.101 (0.247)	Data 0.006 (0.184)	Loss 5.0147 (5.0067)	Prec@1 3.516 (4.726)	Prec@5 15.625 (16.154)
Epoch: [28][5700/7045]	Time 0.101 (0.247)	Data 0.012 (0.184)	Loss 4.9115 (5.0067)	Prec@1 5.078 (4.725)	Prec@5 17.969 (16.155)
Epoch: [28][5710/7045]	Time 0.115 (0.247)	Data 0.063 (0.184)	Loss 4.9944 (5.0066)	Prec@1 5.469 (4.726)	Prec@5 16.406 (16.153)
Epoch: [28][5720/7045]	Time 0.099 (0.247)	Data 0.005 (0.184)	Loss 5.1688 (5.0066)	Prec@1 4.688 (4.726)	Prec@5 13.672 (16.154)
Epoch: [28][5730/7045]	Time 0.200 (0.247)	Data 0.148 (0.184)	Loss 5.1411 (5.0067)	Prec@1 3.516 (4.725)	Prec@5 13.281 (16.151)
Epoch: [28][5740/7045]	Time 0.101 (0.247)	Data 0.005 (0.184)	Loss 5.0885 (5.0067)	Prec@1 3.516 (4.725)	Prec@5 16.016 (16.151)
Epoch: [28][5750/7045]	Time 0.399 (0.247)	Data 0.348 (0.184)	Loss 5.1001 (5.0067)	Prec@1 3.906 (4.725)	Prec@5 13.672 (16.151)
Epoch: [28][5760/7045]	Time 0.113 (0.247)	Data 0.054 (0.184)	Loss 5.0852 (5.0068)	Prec@1 5.078 (4.725)	Prec@5 13.281 (16.149)
Epoch: [28][5770/7045]	Time 0.624 (0.247)	Data 0.567 (0.184)	Loss 5.0384 (5.0068)	Prec@1 3.516 (4.725)	Prec@5 15.625 (16.147)
Epoch: [28][5780/7045]	Time 0.110 (0.247)	Data 0.057 (0.184)	Loss 5.2293 (5.0070)	Prec@1 2.344 (4.723)	Prec@5 11.719 (16.144)
Epoch: [28][5790/7045]	Time 0.615 (0.247)	Data 0.562 (0.184)	Loss 5.0113 (5.0070)	Prec@1 3.906 (4.722)	Prec@5 14.062 (16.144)
Epoch: [28][5800/7045]	Time 0.103 (0.247)	Data 0.001 (0.184)	Loss 4.8994 (5.0069)	Prec@1 4.297 (4.723)	Prec@5 19.141 (16.145)
Epoch: [28][5810/7045]	Time 0.386 (0.247)	Data 0.328 (0.184)	Loss 5.0620 (5.0068)	Prec@1 3.906 (4.724)	Prec@5 16.797 (16.149)
Epoch: [28][5820/7045]	Time 0.101 (0.247)	Data 0.049 (0.184)	Loss 4.9416 (5.0068)	Prec@1 5.078 (4.724)	Prec@5 15.234 (16.150)
Epoch: [28][5830/7045]	Time 0.523 (0.247)	Data 0.472 (0.184)	Loss 4.9101 (5.0067)	Prec@1 6.641 (4.725)	Prec@5 16.406 (16.152)
Epoch: [28][5840/7045]	Time 0.101 (0.247)	Data 0.001 (0.184)	Loss 4.9202 (5.0066)	Prec@1 2.344 (4.725)	Prec@5 13.281 (16.152)
Epoch: [28][5850/7045]	Time 0.488 (0.247)	Data 0.435 (0.184)	Loss 4.9679 (5.0066)	Prec@1 3.906 (4.725)	Prec@5 16.016 (16.151)
Epoch: [28][5860/7045]	Time 0.350 (0.247)	Data 0.299 (0.184)	Loss 4.9038 (5.0066)	Prec@1 5.859 (4.725)	Prec@5 19.141 (16.152)
Epoch: [28][5870/7045]	Time 0.269 (0.247)	Data 0.217 (0.184)	Loss 5.2117 (5.0067)	Prec@1 1.953 (4.726)	Prec@5 11.719 (16.152)
Epoch: [28][5880/7045]	Time 0.106 (0.247)	Data 0.009 (0.184)	Loss 4.9741 (5.0067)	Prec@1 5.078 (4.727)	Prec@5 14.062 (16.151)
Epoch: [28][5890/7045]	Time 0.102 (0.247)	Data 0.020 (0.184)	Loss 4.9902 (5.0067)	Prec@1 4.688 (4.726)	Prec@5 16.016 (16.150)
Epoch: [28][5900/7045]	Time 0.102 (0.247)	Data 0.049 (0.184)	Loss 5.0377 (5.0068)	Prec@1 3.516 (4.725)	Prec@5 12.109 (16.148)
Epoch: [28][5910/7045]	Time 0.355 (0.247)	Data 0.303 (0.184)	Loss 5.0459 (5.0067)	Prec@1 5.859 (4.727)	Prec@5 16.406 (16.150)
Epoch: [28][5920/7045]	Time 0.101 (0.247)	Data 0.045 (0.184)	Loss 4.9637 (5.0067)	Prec@1 5.078 (4.727)	Prec@5 15.625 (16.149)
Epoch: [28][5930/7045]	Time 0.160 (0.247)	Data 0.103 (0.184)	Loss 5.0214 (5.0067)	Prec@1 6.250 (4.728)	Prec@5 17.188 (16.148)
Epoch: [28][5940/7045]	Time 0.211 (0.247)	Data 0.159 (0.184)	Loss 4.8571 (5.0066)	Prec@1 4.297 (4.729)	Prec@5 19.922 (16.152)
Epoch: [28][5950/7045]	Time 0.214 (0.247)	Data 0.163 (0.184)	Loss 5.1513 (5.0066)	Prec@1 4.297 (4.728)	Prec@5 12.891 (16.151)
Epoch: [28][5960/7045]	Time 0.112 (0.247)	Data 0.061 (0.184)	Loss 4.9823 (5.0066)	Prec@1 3.516 (4.729)	Prec@5 15.234 (16.153)
Epoch: [28][5970/7045]	Time 0.184 (0.247)	Data 0.132 (0.184)	Loss 4.9924 (5.0066)	Prec@1 5.078 (4.729)	Prec@5 16.016 (16.153)
Epoch: [28][5980/7045]	Time 0.101 (0.247)	Data 0.049 (0.184)	Loss 4.8939 (5.0066)	Prec@1 7.422 (4.730)	Prec@5 23.047 (16.153)
Epoch: [28][5990/7045]	Time 0.156 (0.247)	Data 0.103 (0.184)	Loss 4.9319 (5.0065)	Prec@1 6.250 (4.730)	Prec@5 17.969 (16.152)
Epoch: [28][6000/7045]	Time 0.495 (0.247)	Data 0.443 (0.184)	Loss 5.0963 (5.0067)	Prec@1 5.078 (4.729)	Prec@5 15.625 (16.149)
Epoch: [28][6010/7045]	Time 0.096 (0.247)	Data 0.001 (0.184)	Loss 5.0415 (5.0067)	Prec@1 3.516 (4.729)	Prec@5 16.016 (16.149)
Epoch: [28][6020/7045]	Time 0.532 (0.247)	Data 0.480 (0.184)	Loss 5.0997 (5.0067)	Prec@1 3.906 (4.729)	Prec@5 14.844 (16.150)
Epoch: [28][6030/7045]	Time 0.121 (0.247)	Data 0.069 (0.184)	Loss 5.0638 (5.0068)	Prec@1 4.688 (4.728)	Prec@5 14.453 (16.147)
Epoch: [28][6040/7045]	Time 0.102 (0.247)	Data 0.006 (0.184)	Loss 5.0683 (5.0068)	Prec@1 3.906 (4.727)	Prec@5 13.281 (16.146)
Epoch: [28][6050/7045]	Time 0.214 (0.247)	Data 0.163 (0.184)	Loss 5.0970 (5.0068)	Prec@1 3.906 (4.727)	Prec@5 14.453 (16.145)
Epoch: [28][6060/7045]	Time 0.247 (0.247)	Data 0.195 (0.184)	Loss 4.9987 (5.0069)	Prec@1 4.297 (4.727)	Prec@5 16.016 (16.145)
Epoch: [28][6070/7045]	Time 0.101 (0.247)	Data 0.001 (0.184)	Loss 5.0043 (5.0069)	Prec@1 3.906 (4.726)	Prec@5 12.109 (16.145)
Epoch: [28][6080/7045]	Time 0.113 (0.247)	Data 0.061 (0.184)	Loss 5.0657 (5.0069)	Prec@1 4.688 (4.726)	Prec@5 13.672 (16.143)
Epoch: [28][6090/7045]	Time 0.111 (0.247)	Data 0.058 (0.184)	Loss 5.1045 (5.0069)	Prec@1 3.906 (4.725)	Prec@5 12.891 (16.144)
Epoch: [28][6100/7045]	Time 0.102 (0.247)	Data 0.002 (0.184)	Loss 4.9437 (5.0068)	Prec@1 5.859 (4.725)	Prec@5 19.141 (16.143)
Epoch: [28][6110/7045]	Time 0.444 (0.247)	Data 0.393 (0.184)	Loss 4.9377 (5.0068)	Prec@1 5.078 (4.726)	Prec@5 19.141 (16.146)
Epoch: [28][6120/7045]	Time 0.112 (0.247)	Data 0.060 (0.184)	Loss 5.0796 (5.0068)	Prec@1 3.125 (4.726)	Prec@5 14.453 (16.144)
Epoch: [28][6130/7045]	Time 0.201 (0.247)	Data 0.148 (0.184)	Loss 5.0451 (5.0069)	Prec@1 3.516 (4.725)	Prec@5 14.453 (16.143)
Epoch: [28][6140/7045]	Time 0.145 (0.247)	Data 0.094 (0.184)	Loss 5.0359 (5.0069)	Prec@1 3.906 (4.726)	Prec@5 17.578 (16.145)
Epoch: [28][6150/7045]	Time 0.225 (0.247)	Data 0.168 (0.184)	Loss 5.0085 (5.0067)	Prec@1 5.469 (4.727)	Prec@5 14.453 (16.147)
Epoch: [28][6160/7045]	Time 0.107 (0.247)	Data 0.054 (0.184)	Loss 4.9738 (5.0067)	Prec@1 5.859 (4.727)	Prec@5 17.969 (16.149)
Epoch: [28][6170/7045]	Time 0.161 (0.247)	Data 0.110 (0.184)	Loss 4.9314 (5.0068)	Prec@1 5.859 (4.727)	Prec@5 15.234 (16.147)
Epoch: [28][6180/7045]	Time 0.153 (0.247)	Data 0.102 (0.184)	Loss 5.0398 (5.0068)	Prec@1 2.734 (4.726)	Prec@5 14.844 (16.148)
Epoch: [28][6190/7045]	Time 0.173 (0.247)	Data 0.115 (0.184)	Loss 5.0308 (5.0068)	Prec@1 4.297 (4.727)	Prec@5 15.625 (16.147)
Epoch: [28][6200/7045]	Time 0.182 (0.247)	Data 0.131 (0.184)	Loss 5.1400 (5.0068)	Prec@1 4.688 (4.727)	Prec@5 13.672 (16.147)
Epoch: [28][6210/7045]	Time 0.179 (0.247)	Data 0.128 (0.184)	Loss 5.0082 (5.0067)	Prec@1 3.906 (4.728)	Prec@5 15.625 (16.150)
Epoch: [28][6220/7045]	Time 0.291 (0.247)	Data 0.240 (0.184)	Loss 5.0091 (5.0066)	Prec@1 5.469 (4.729)	Prec@5 16.016 (16.153)
Epoch: [28][6230/7045]	Time 0.210 (0.247)	Data 0.159 (0.184)	Loss 5.0200 (5.0066)	Prec@1 5.078 (4.730)	Prec@5 17.969 (16.155)
Epoch: [28][6240/7045]	Time 0.463 (0.247)	Data 0.403 (0.184)	Loss 5.0484 (5.0066)	Prec@1 1.172 (4.729)	Prec@5 10.938 (16.155)
Epoch: [28][6250/7045]	Time 0.113 (0.247)	Data 0.061 (0.184)	Loss 4.9401 (5.0067)	Prec@1 1.172 (4.728)	Prec@5 12.891 (16.152)
Epoch: [28][6260/7045]	Time 0.710 (0.247)	Data 0.658 (0.184)	Loss 5.0709 (5.0067)	Prec@1 2.734 (4.728)	Prec@5 12.891 (16.152)
Epoch: [28][6270/7045]	Time 0.105 (0.247)	Data 0.053 (0.184)	Loss 4.9708 (5.0066)	Prec@1 4.688 (4.728)	Prec@5 15.234 (16.153)
Epoch: [28][6280/7045]	Time 0.702 (0.247)	Data 0.640 (0.184)	Loss 4.9059 (5.0066)	Prec@1 3.906 (4.728)	Prec@5 16.406 (16.153)
Epoch: [28][6290/7045]	Time 0.102 (0.247)	Data 0.019 (0.184)	Loss 4.8640 (5.0064)	Prec@1 5.078 (4.730)	Prec@5 17.578 (16.156)
Epoch: [28][6300/7045]	Time 0.401 (0.247)	Data 0.349 (0.184)	Loss 5.1067 (5.0064)	Prec@1 4.297 (4.730)	Prec@5 16.406 (16.155)
Epoch: [28][6310/7045]	Time 0.261 (0.247)	Data 0.210 (0.184)	Loss 5.0155 (5.0066)	Prec@1 2.734 (4.729)	Prec@5 15.625 (16.152)
Epoch: [28][6320/7045]	Time 0.101 (0.247)	Data 0.004 (0.184)	Loss 5.0339 (5.0066)	Prec@1 3.125 (4.728)	Prec@5 12.500 (16.151)
Epoch: [28][6330/7045]	Time 0.416 (0.247)	Data 0.365 (0.184)	Loss 4.9628 (5.0066)	Prec@1 7.422 (4.729)	Prec@5 14.844 (16.152)
Epoch: [28][6340/7045]	Time 0.101 (0.247)	Data 0.003 (0.184)	Loss 5.0517 (5.0066)	Prec@1 3.516 (4.729)	Prec@5 15.625 (16.151)
Epoch: [28][6350/7045]	Time 0.392 (0.247)	Data 0.341 (0.184)	Loss 4.9801 (5.0065)	Prec@1 3.516 (4.729)	Prec@5 14.062 (16.151)
Epoch: [28][6360/7045]	Time 0.101 (0.247)	Data 0.003 (0.184)	Loss 5.2271 (5.0066)	Prec@1 4.688 (4.728)	Prec@5 8.984 (16.148)
Epoch: [28][6370/7045]	Time 0.324 (0.247)	Data 0.273 (0.184)	Loss 5.1322 (5.0067)	Prec@1 2.344 (4.726)	Prec@5 15.625 (16.145)
Epoch: [28][6380/7045]	Time 0.101 (0.247)	Data 0.007 (0.184)	Loss 5.0422 (5.0068)	Prec@1 7.031 (4.726)	Prec@5 20.312 (16.145)
Epoch: [28][6390/7045]	Time 0.516 (0.247)	Data 0.465 (0.184)	Loss 5.1665 (5.0069)	Prec@1 5.469 (4.725)	Prec@5 13.281 (16.145)
Epoch: [28][6400/7045]	Time 0.103 (0.247)	Data 0.050 (0.184)	Loss 4.9681 (5.0070)	Prec@1 5.469 (4.725)	Prec@5 17.969 (16.145)
Epoch: [28][6410/7045]	Time 0.282 (0.247)	Data 0.230 (0.184)	Loss 5.0371 (5.0070)	Prec@1 5.469 (4.725)	Prec@5 13.281 (16.145)
Epoch: [28][6420/7045]	Time 0.190 (0.247)	Data 0.139 (0.184)	Loss 5.1291 (5.0070)	Prec@1 2.734 (4.724)	Prec@5 14.453 (16.145)
Epoch: [28][6430/7045]	Time 0.419 (0.247)	Data 0.358 (0.184)	Loss 5.0149 (5.0070)	Prec@1 5.078 (4.724)	Prec@5 18.359 (16.147)
Epoch: [28][6440/7045]	Time 0.381 (0.247)	Data 0.329 (0.184)	Loss 4.9500 (5.0069)	Prec@1 5.859 (4.725)	Prec@5 17.578 (16.149)
Epoch: [28][6450/7045]	Time 0.336 (0.247)	Data 0.285 (0.184)	Loss 5.0174 (5.0069)	Prec@1 5.859 (4.726)	Prec@5 15.625 (16.148)
Epoch: [28][6460/7045]	Time 0.563 (0.247)	Data 0.504 (0.184)	Loss 4.9168 (5.0069)	Prec@1 5.859 (4.726)	Prec@5 14.844 (16.149)
Epoch: [28][6470/7045]	Time 0.108 (0.247)	Data 0.001 (0.184)	Loss 5.0430 (5.0068)	Prec@1 4.297 (4.726)	Prec@5 14.453 (16.150)
Epoch: [28][6480/7045]	Time 0.526 (0.247)	Data 0.468 (0.184)	Loss 4.9419 (5.0067)	Prec@1 5.078 (4.727)	Prec@5 17.188 (16.151)
Epoch: [28][6490/7045]	Time 0.102 (0.247)	Data 0.011 (0.184)	Loss 5.1110 (5.0068)	Prec@1 3.516 (4.726)	Prec@5 13.281 (16.149)
Epoch: [28][6500/7045]	Time 0.100 (0.247)	Data 0.001 (0.184)	Loss 4.9313 (5.0068)	Prec@1 3.906 (4.726)	Prec@5 16.016 (16.149)
Epoch: [28][6510/7045]	Time 0.102 (0.247)	Data 0.001 (0.184)	Loss 5.0516 (5.0067)	Prec@1 6.250 (4.726)	Prec@5 15.234 (16.149)
Epoch: [28][6520/7045]	Time 0.463 (0.247)	Data 0.402 (0.184)	Loss 4.8614 (5.0067)	Prec@1 5.859 (4.727)	Prec@5 20.703 (16.150)
Epoch: [28][6530/7045]	Time 0.311 (0.247)	Data 0.254 (0.184)	Loss 5.0076 (5.0068)	Prec@1 7.031 (4.726)	Prec@5 15.625 (16.148)
Epoch: [28][6540/7045]	Time 0.335 (0.247)	Data 0.284 (0.184)	Loss 4.9601 (5.0068)	Prec@1 5.469 (4.726)	Prec@5 14.453 (16.149)
Epoch: [28][6550/7045]	Time 0.218 (0.247)	Data 0.166 (0.184)	Loss 5.2313 (5.0069)	Prec@1 2.734 (4.725)	Prec@5 10.547 (16.147)
Epoch: [28][6560/7045]	Time 0.241 (0.247)	Data 0.191 (0.184)	Loss 4.9256 (5.0069)	Prec@1 3.516 (4.724)	Prec@5 15.234 (16.146)
Epoch: [28][6570/7045]	Time 0.104 (0.247)	Data 0.001 (0.184)	Loss 4.8896 (5.0069)	Prec@1 6.250 (4.725)	Prec@5 19.141 (16.147)
Epoch: [28][6580/7045]	Time 0.493 (0.247)	Data 0.442 (0.184)	Loss 4.9974 (5.0069)	Prec@1 5.859 (4.726)	Prec@5 17.188 (16.148)
Epoch: [28][6590/7045]	Time 0.378 (0.247)	Data 0.327 (0.184)	Loss 5.0113 (5.0068)	Prec@1 5.859 (4.726)	Prec@5 18.359 (16.149)
Epoch: [28][6600/7045]	Time 0.111 (0.247)	Data 0.058 (0.184)	Loss 4.8874 (5.0068)	Prec@1 6.250 (4.725)	Prec@5 16.016 (16.148)
Epoch: [28][6610/7045]	Time 0.102 (0.247)	Data 0.001 (0.184)	Loss 4.9824 (5.0068)	Prec@1 3.516 (4.725)	Prec@5 16.406 (16.149)
Epoch: [28][6620/7045]	Time 0.334 (0.247)	Data 0.282 (0.184)	Loss 5.0260 (5.0069)	Prec@1 3.906 (4.723)	Prec@5 14.062 (16.145)
Epoch: [28][6630/7045]	Time 0.201 (0.247)	Data 0.150 (0.184)	Loss 5.0631 (5.0070)	Prec@1 3.516 (4.722)	Prec@5 13.281 (16.144)
Epoch: [28][6640/7045]	Time 0.249 (0.247)	Data 0.197 (0.184)	Loss 4.9263 (5.0069)	Prec@1 5.078 (4.721)	Prec@5 19.922 (16.144)
Epoch: [28][6650/7045]	Time 0.264 (0.247)	Data 0.209 (0.184)	Loss 5.1590 (5.0070)	Prec@1 2.734 (4.720)	Prec@5 10.156 (16.143)
Epoch: [28][6660/7045]	Time 0.107 (0.247)	Data 0.001 (0.184)	Loss 5.1721 (5.0069)	Prec@1 1.562 (4.720)	Prec@5 13.672 (16.142)
Epoch: [28][6670/7045]	Time 0.101 (0.247)	Data 0.002 (0.184)	Loss 5.0584 (5.0069)	Prec@1 3.906 (4.720)	Prec@5 14.844 (16.143)
Epoch: [28][6680/7045]	Time 0.464 (0.247)	Data 0.412 (0.184)	Loss 4.9478 (5.0069)	Prec@1 5.078 (4.720)	Prec@5 17.188 (16.142)
Epoch: [28][6690/7045]	Time 0.199 (0.247)	Data 0.149 (0.184)	Loss 4.9592 (5.0069)	Prec@1 2.734 (4.721)	Prec@5 17.578 (16.144)
Epoch: [28][6700/7045]	Time 0.213 (0.247)	Data 0.162 (0.184)	Loss 5.0229 (5.0068)	Prec@1 5.078 (4.721)	Prec@5 17.188 (16.145)
Epoch: [28][6710/7045]	Time 0.385 (0.247)	Data 0.323 (0.184)	Loss 4.9492 (5.0068)	Prec@1 5.859 (4.721)	Prec@5 19.141 (16.144)
Epoch: [28][6720/7045]	Time 0.289 (0.247)	Data 0.238 (0.184)	Loss 4.9652 (5.0068)	Prec@1 5.859 (4.721)	Prec@5 16.016 (16.144)
Epoch: [28][6730/7045]	Time 0.233 (0.247)	Data 0.183 (0.184)	Loss 5.1485 (5.0069)	Prec@1 3.516 (4.720)	Prec@5 12.109 (16.143)
Epoch: [28][6740/7045]	Time 0.192 (0.247)	Data 0.140 (0.184)	Loss 4.9806 (5.0069)	Prec@1 7.031 (4.721)	Prec@5 17.578 (16.141)
Epoch: [28][6750/7045]	Time 0.102 (0.247)	Data 0.001 (0.184)	Loss 4.9520 (5.0070)	Prec@1 7.031 (4.722)	Prec@5 16.797 (16.140)
Epoch: [28][6760/7045]	Time 0.241 (0.247)	Data 0.189 (0.184)	Loss 4.8800 (5.0070)	Prec@1 5.469 (4.721)	Prec@5 17.969 (16.140)
Epoch: [28][6770/7045]	Time 0.102 (0.247)	Data 0.015 (0.184)	Loss 5.1573 (5.0070)	Prec@1 5.078 (4.721)	Prec@5 14.844 (16.141)
Epoch: [28][6780/7045]	Time 0.108 (0.247)	Data 0.005 (0.184)	Loss 5.0522 (5.0070)	Prec@1 5.859 (4.724)	Prec@5 16.406 (16.142)
Epoch: [28][6790/7045]	Time 0.102 (0.247)	Data 0.001 (0.184)	Loss 4.9918 (5.0070)	Prec@1 3.906 (4.724)	Prec@5 16.016 (16.143)
Epoch: [28][6800/7045]	Time 0.101 (0.247)	Data 0.049 (0.184)	Loss 4.9305 (5.0069)	Prec@1 4.688 (4.723)	Prec@5 16.406 (16.143)
Epoch: [28][6810/7045]	Time 0.237 (0.247)	Data 0.186 (0.184)	Loss 5.0498 (5.0070)	Prec@1 4.688 (4.723)	Prec@5 16.406 (16.142)
Epoch: [28][6820/7045]	Time 0.107 (0.247)	Data 0.055 (0.184)	Loss 5.0831 (5.0071)	Prec@1 2.344 (4.723)	Prec@5 15.234 (16.142)
Epoch: [28][6830/7045]	Time 0.102 (0.247)	Data 0.001 (0.184)	Loss 5.0303 (5.0071)	Prec@1 3.125 (4.722)	Prec@5 12.500 (16.140)
Epoch: [28][6840/7045]	Time 0.172 (0.247)	Data 0.121 (0.184)	Loss 5.0744 (5.0072)	Prec@1 3.516 (4.722)	Prec@5 11.719 (16.137)
Epoch: [28][6850/7045]	Time 0.101 (0.247)	Data 0.001 (0.184)	Loss 5.1165 (5.0072)	Prec@1 4.297 (4.721)	Prec@5 15.625 (16.135)
Epoch: [28][6860/7045]	Time 0.117 (0.247)	Data 0.065 (0.184)	Loss 5.0626 (5.0073)	Prec@1 4.688 (4.722)	Prec@5 15.234 (16.134)
Epoch: [28][6870/7045]	Time 0.102 (0.247)	Data 0.005 (0.184)	Loss 4.9538 (5.0073)	Prec@1 5.078 (4.721)	Prec@5 15.234 (16.133)
Epoch: [28][6880/7045]	Time 0.452 (0.247)	Data 0.387 (0.184)	Loss 5.0772 (5.0074)	Prec@1 4.688 (4.721)	Prec@5 15.625 (16.132)
Epoch: [28][6890/7045]	Time 0.107 (0.247)	Data 0.054 (0.184)	Loss 4.9182 (5.0073)	Prec@1 5.078 (4.721)	Prec@5 12.109 (16.131)
Epoch: [28][6900/7045]	Time 0.474 (0.247)	Data 0.423 (0.184)	Loss 5.0652 (5.0074)	Prec@1 4.688 (4.720)	Prec@5 16.797 (16.131)
Epoch: [28][6910/7045]	Time 0.110 (0.247)	Data 0.001 (0.184)	Loss 5.1782 (5.0074)	Prec@1 3.906 (4.719)	Prec@5 13.281 (16.130)
Epoch: [28][6920/7045]	Time 0.454 (0.247)	Data 0.403 (0.184)	Loss 5.1273 (5.0074)	Prec@1 3.125 (4.718)	Prec@5 14.062 (16.128)
Epoch: [28][6930/7045]	Time 0.105 (0.247)	Data 0.003 (0.184)	Loss 5.0175 (5.0075)	Prec@1 5.469 (4.719)	Prec@5 13.672 (16.127)
Epoch: [28][6940/7045]	Time 0.232 (0.247)	Data 0.181 (0.184)	Loss 5.0249 (5.0076)	Prec@1 3.906 (4.718)	Prec@5 15.234 (16.126)
Epoch: [28][6950/7045]	Time 0.101 (0.247)	Data 0.010 (0.184)	Loss 4.9840 (5.0075)	Prec@1 5.469 (4.718)	Prec@5 14.453 (16.127)
Epoch: [28][6960/7045]	Time 0.423 (0.247)	Data 0.371 (0.184)	Loss 4.7997 (5.0075)	Prec@1 5.078 (4.718)	Prec@5 22.266 (16.127)
Epoch: [28][6970/7045]	Time 0.101 (0.247)	Data 0.001 (0.184)	Loss 5.1320 (5.0075)	Prec@1 4.688 (4.719)	Prec@5 18.750 (16.128)
Epoch: [28][6980/7045]	Time 0.177 (0.247)	Data 0.126 (0.184)	Loss 4.9076 (5.0075)	Prec@1 6.641 (4.719)	Prec@5 19.922 (16.129)
Epoch: [28][6990/7045]	Time 0.356 (0.247)	Data 0.305 (0.184)	Loss 4.9939 (5.0076)	Prec@1 4.297 (4.718)	Prec@5 21.484 (16.128)
Epoch: [28][7000/7045]	Time 0.196 (0.247)	Data 0.145 (0.184)	Loss 4.9344 (5.0076)	Prec@1 6.641 (4.719)	Prec@5 16.406 (16.127)
Epoch: [28][7010/7045]	Time 0.569 (0.247)	Data 0.519 (0.184)	Loss 4.9752 (5.0076)	Prec@1 3.906 (4.719)	Prec@5 16.016 (16.129)
Epoch: [28][7020/7045]	Time 0.101 (0.247)	Data 0.014 (0.184)	Loss 4.9993 (5.0075)	Prec@1 4.297 (4.721)	Prec@5 18.750 (16.131)
Epoch: [28][7030/7045]	Time 0.236 (0.247)	Data 0.182 (0.184)	Loss 4.8986 (5.0073)	Prec@1 5.469 (4.721)	Prec@5 15.625 (16.132)
Epoch: [28][7040/7045]	Time 0.103 (0.247)	Data 0.000 (0.184)	Loss 4.9395 (5.0073)	Prec@1 3.906 (4.721)	Prec@5 12.891 (16.132)
Test: [0/143]	Time 1.275 (1.275)	Loss 5.0149 (5.0149)	Prec@1 7.031 (7.031)	Prec@5 15.625 (15.625)
Test: [10/143]	Time 0.063 (0.262)	Loss 4.5730 (4.8782)	Prec@1 8.203 (4.652)	Prec@5 26.172 (18.111)
Test: [20/143]	Time 0.171 (0.231)	Loss 4.9667 (4.8293)	Prec@1 2.734 (5.022)	Prec@5 12.500 (19.010)
Test: [30/143]	Time 0.266 (0.221)	Loss 4.5569 (4.7883)	Prec@1 11.719 (6.389)	Prec@5 30.859 (20.489)
Test: [40/143]	Time 0.048 (0.215)	Loss 4.8846 (4.7851)	Prec@1 3.906 (6.431)	Prec@5 16.016 (20.532)
Test: [50/143]	Time 0.298 (0.207)	Loss 4.5735 (4.8042)	Prec@1 7.812 (6.020)	Prec@5 30.078 (19.922)
Test: [60/143]	Time 0.240 (0.203)	Loss 5.0730 (4.7801)	Prec@1 1.562 (6.320)	Prec@5 12.500 (20.902)
Test: [70/143]	Time 0.159 (0.198)	Loss 5.0810 (4.7929)	Prec@1 2.344 (6.217)	Prec@5 10.156 (20.390)
Test: [80/143]	Time 0.058 (0.194)	Loss 4.6082 (4.7954)	Prec@1 9.766 (6.149)	Prec@5 29.688 (20.414)
Test: [90/143]	Time 0.058 (0.196)	Loss 5.0744 (4.7870)	Prec@1 2.344 (6.241)	Prec@5 11.719 (20.643)
Test: [100/143]	Time 0.048 (0.192)	Loss 4.1367 (4.7714)	Prec@1 20.703 (6.412)	Prec@5 50.781 (21.144)
Test: [110/143]	Time 0.054 (0.192)	Loss 4.7533 (4.7661)	Prec@1 15.234 (6.620)	Prec@5 28.516 (21.410)
Test: [120/143]	Time 0.284 (0.192)	Loss 4.6256 (4.7535)	Prec@1 9.766 (6.986)	Prec@5 28.516 (21.949)
Test: [130/143]	Time 0.116 (0.190)	Loss 4.6254 (4.7424)	Prec@1 13.281 (7.174)	Prec@5 25.000 (22.284)
Test: [140/143]	Time 0.396 (0.191)	Loss 5.0790 (4.7497)	Prec@1 0.391 (6.998)	Prec@5 7.812 (22.033)
 * Prec@1 7.016 Prec@5 22.079
Epoch: [29][0/7045]	Time 2.760 (2.760)	Data 2.706 (2.706)	Loss 5.0413 (5.0413)	Prec@1 6.250 (6.250)	Prec@5 14.844 (14.844)
Epoch: [29][10/7045]	Time 0.103 (0.453)	Data 0.002 (0.375)	Loss 4.9790 (4.9595)	Prec@1 4.297 (4.794)	Prec@5 16.406 (17.223)
Epoch: [29][20/7045]	Time 0.293 (0.354)	Data 0.242 (0.281)	Loss 4.8685 (4.9214)	Prec@1 8.594 (5.394)	Prec@5 22.266 (18.285)
Epoch: [29][30/7045]	Time 0.358 (0.331)	Data 0.297 (0.262)	Loss 4.9332 (4.9312)	Prec@1 4.297 (5.103)	Prec@5 19.141 (17.843)
Epoch: [29][40/7045]	Time 0.211 (0.310)	Data 0.160 (0.242)	Loss 4.9871 (4.9376)	Prec@1 4.688 (5.040)	Prec@5 17.188 (17.673)
Epoch: [29][50/7045]	Time 0.201 (0.297)	Data 0.150 (0.232)	Loss 4.9272 (4.9359)	Prec@1 7.031 (5.193)	Prec@5 19.141 (17.609)
Epoch: [29][60/7045]	Time 0.177 (0.295)	Data 0.127 (0.230)	Loss 5.0207 (4.9390)	Prec@1 5.469 (5.149)	Prec@5 17.578 (17.546)
Epoch: [29][70/7045]	Time 0.101 (0.285)	Data 0.019 (0.217)	Loss 4.8802 (4.9410)	Prec@1 5.469 (5.166)	Prec@5 16.797 (17.457)
Epoch: [29][80/7045]	Time 0.186 (0.284)	Data 0.135 (0.218)	Loss 4.9689 (4.9495)	Prec@1 7.031 (5.155)	Prec@5 19.531 (17.274)
Epoch: [29][90/7045]	Time 0.109 (0.285)	Data 0.001 (0.218)	Loss 4.9125 (4.9588)	Prec@1 5.078 (5.035)	Prec@5 13.672 (17.050)
Epoch: [29][100/7045]	Time 0.123 (0.278)	Data 0.072 (0.212)	Loss 5.1193 (4.9591)	Prec@1 1.562 (5.001)	Prec@5 12.500 (17.002)
Epoch: [29][110/7045]	Time 0.405 (0.279)	Data 0.354 (0.214)	Loss 4.9770 (4.9570)	Prec@1 3.125 (5.053)	Prec@5 19.141 (17.075)
Epoch: [29][120/7045]	Time 0.101 (0.277)	Data 0.001 (0.212)	Loss 5.0892 (4.9649)	Prec@1 4.688 (5.023)	Prec@5 15.234 (16.913)
Epoch: [29][130/7045]	Time 0.101 (0.276)	Data 0.001 (0.211)	Loss 5.0171 (4.9680)	Prec@1 5.469 (4.989)	Prec@5 16.016 (16.830)
Epoch: [29][140/7045]	Time 0.537 (0.275)	Data 0.486 (0.210)	Loss 5.0476 (4.9748)	Prec@1 3.516 (4.937)	Prec@5 14.844 (16.755)
Epoch: [29][150/7045]	Time 0.101 (0.274)	Data 0.001 (0.208)	Loss 5.0553 (4.9755)	Prec@1 5.469 (4.944)	Prec@5 15.234 (16.730)
Epoch: [29][160/7045]	Time 0.191 (0.272)	Data 0.140 (0.207)	Loss 5.1098 (4.9816)	Prec@1 3.516 (4.913)	Prec@5 12.500 (16.668)
Epoch: [29][170/7045]	Time 0.101 (0.270)	Data 0.006 (0.205)	Loss 5.0291 (4.9827)	Prec@1 4.297 (4.898)	Prec@5 15.625 (16.660)
Epoch: [29][180/7045]	Time 0.528 (0.271)	Data 0.478 (0.206)	Loss 4.8626 (4.9827)	Prec@1 4.688 (4.880)	Prec@5 17.969 (16.644)
Epoch: [29][190/7045]	Time 0.181 (0.270)	Data 0.130 (0.205)	Loss 5.0306 (4.9827)	Prec@1 4.688 (4.867)	Prec@5 15.234 (16.598)
Epoch: [29][200/7045]	Time 0.332 (0.269)	Data 0.282 (0.204)	Loss 4.9682 (4.9831)	Prec@1 5.859 (4.866)	Prec@5 17.969 (16.577)
Epoch: [29][210/7045]	Time 0.142 (0.267)	Data 0.091 (0.202)	Loss 4.9574 (4.9835)	Prec@1 3.516 (4.852)	Prec@5 19.531 (16.584)
Epoch: [29][220/7045]	Time 0.217 (0.268)	Data 0.165 (0.203)	Loss 4.9164 (4.9836)	Prec@1 3.516 (4.817)	Prec@5 19.141 (16.590)
Epoch: [29][230/7045]	Time 0.388 (0.267)	Data 0.336 (0.202)	Loss 4.9364 (4.9843)	Prec@1 5.469 (4.796)	Prec@5 18.359 (16.638)
Epoch: [29][240/7045]	Time 0.190 (0.266)	Data 0.140 (0.201)	Loss 5.0000 (4.9857)	Prec@1 4.297 (4.796)	Prec@5 16.016 (16.589)
Epoch: [29][250/7045]	Time 0.400 (0.266)	Data 0.350 (0.201)	Loss 5.1090 (4.9876)	Prec@1 4.688 (4.768)	Prec@5 16.016 (16.563)
Epoch: [29][260/7045]	Time 0.130 (0.265)	Data 0.078 (0.201)	Loss 4.8804 (4.9875)	Prec@1 5.469 (4.755)	Prec@5 17.578 (16.557)
Epoch: [29][270/7045]	Time 0.172 (0.265)	Data 0.122 (0.201)	Loss 5.1597 (4.9894)	Prec@1 3.906 (4.738)	Prec@5 12.500 (16.501)
Epoch: [29][280/7045]	Time 0.282 (0.265)	Data 0.230 (0.201)	Loss 5.1079 (4.9916)	Prec@1 2.344 (4.724)	Prec@5 12.500 (16.463)
Epoch: [29][290/7045]	Time 0.601 (0.265)	Data 0.541 (0.201)	Loss 5.0073 (4.9919)	Prec@1 3.125 (4.713)	Prec@5 13.672 (16.418)
Epoch: [29][300/7045]	Time 0.101 (0.264)	Data 0.001 (0.200)	Loss 5.0370 (4.9926)	Prec@1 3.906 (4.695)	Prec@5 17.578 (16.405)
Epoch: [29][310/7045]	Time 0.155 (0.264)	Data 0.105 (0.200)	Loss 5.0437 (4.9936)	Prec@1 5.078 (4.677)	Prec@5 14.062 (16.346)
Epoch: [29][320/7045]	Time 0.190 (0.263)	Data 0.139 (0.199)	Loss 5.1528 (4.9964)	Prec@1 3.516 (4.655)	Prec@5 12.500 (16.326)
Epoch: [29][330/7045]	Time 0.367 (0.263)	Data 0.317 (0.200)	Loss 5.0963 (4.9987)	Prec@1 4.297 (4.664)	Prec@5 14.453 (16.276)
Epoch: [29][340/7045]	Time 0.187 (0.262)	Data 0.136 (0.199)	Loss 4.9689 (4.9990)	Prec@1 5.469 (4.666)	Prec@5 16.016 (16.241)
Epoch: [29][350/7045]	Time 0.665 (0.263)	Data 0.614 (0.200)	Loss 5.1875 (5.0001)	Prec@1 2.734 (4.655)	Prec@5 13.281 (16.218)
Epoch: [29][360/7045]	Time 0.101 (0.262)	Data 0.001 (0.198)	Loss 4.9022 (5.0000)	Prec@1 5.078 (4.664)	Prec@5 19.531 (16.217)
Epoch: [29][370/7045]	Time 0.273 (0.262)	Data 0.222 (0.199)	Loss 4.9702 (4.9993)	Prec@1 5.078 (4.669)	Prec@5 14.844 (16.236)
Epoch: [29][380/7045]	Time 0.115 (0.261)	Data 0.063 (0.198)	Loss 4.9088 (4.9976)	Prec@1 5.859 (4.680)	Prec@5 17.188 (16.250)
Epoch: [29][390/7045]	Time 0.111 (0.261)	Data 0.010 (0.197)	Loss 5.0214 (4.9974)	Prec@1 4.688 (4.689)	Prec@5 14.062 (16.252)
Epoch: [29][400/7045]	Time 0.195 (0.261)	Data 0.141 (0.197)	Loss 5.0387 (4.9956)	Prec@1 6.641 (4.704)	Prec@5 15.234 (16.274)
Epoch: [29][410/7045]	Time 0.101 (0.260)	Data 0.010 (0.196)	Loss 4.9605 (4.9947)	Prec@1 4.297 (4.705)	Prec@5 16.797 (16.287)
Epoch: [29][420/7045]	Time 0.101 (0.261)	Data 0.001 (0.197)	Loss 4.9058 (4.9935)	Prec@1 6.641 (4.723)	Prec@5 17.188 (16.308)
Epoch: [29][430/7045]	Time 0.254 (0.260)	Data 0.202 (0.195)	Loss 5.0759 (4.9928)	Prec@1 3.516 (4.705)	Prec@5 10.938 (16.315)
Epoch: [29][440/7045]	Time 0.102 (0.260)	Data 0.001 (0.195)	Loss 4.8081 (4.9916)	Prec@1 4.297 (4.701)	Prec@5 21.875 (16.341)
Epoch: [29][450/7045]	Time 0.233 (0.260)	Data 0.182 (0.195)	Loss 4.9334 (4.9904)	Prec@1 4.688 (4.708)	Prec@5 17.578 (16.358)
Epoch: [29][460/7045]	Time 0.179 (0.259)	Data 0.128 (0.195)	Loss 5.1078 (4.9907)	Prec@1 5.078 (4.723)	Prec@5 17.188 (16.371)
Epoch: [29][470/7045]	Time 0.103 (0.259)	Data 0.003 (0.195)	Loss 4.9963 (4.9912)	Prec@1 3.906 (4.717)	Prec@5 17.969 (16.358)
Epoch: [29][480/7045]	Time 0.410 (0.260)	Data 0.359 (0.195)	Loss 4.9074 (4.9917)	Prec@1 5.859 (4.726)	Prec@5 17.578 (16.366)
Epoch: [29][490/7045]	Time 0.342 (0.259)	Data 0.291 (0.194)	Loss 4.8219 (4.9914)	Prec@1 5.078 (4.725)	Prec@5 17.188 (16.376)
Epoch: [29][500/7045]	Time 0.103 (0.259)	Data 0.001 (0.195)	Loss 4.8823 (4.9911)	Prec@1 4.297 (4.733)	Prec@5 19.141 (16.398)
Epoch: [29][510/7045]	Time 0.697 (0.259)	Data 0.644 (0.195)	Loss 5.0005 (4.9911)	Prec@1 3.516 (4.733)	Prec@5 16.797 (16.395)
Epoch: [29][520/7045]	Time 0.106 (0.259)	Data 0.001 (0.194)	Loss 5.0060 (4.9909)	Prec@1 5.469 (4.729)	Prec@5 17.578 (16.373)
Epoch: [29][530/7045]	Time 0.309 (0.259)	Data 0.258 (0.194)	Loss 5.1471 (4.9906)	Prec@1 3.516 (4.743)	Prec@5 10.938 (16.372)
Epoch: [29][540/7045]	Time 0.543 (0.259)	Data 0.491 (0.194)	Loss 4.8697 (4.9900)	Prec@1 4.688 (4.734)	Prec@5 17.578 (16.356)
Epoch: [29][550/7045]	Time 0.102 (0.258)	Data 0.049 (0.194)	Loss 4.9205 (4.9897)	Prec@1 2.734 (4.728)	Prec@5 17.969 (16.358)
Epoch: [29][560/7045]	Time 0.490 (0.258)	Data 0.439 (0.194)	Loss 4.9668 (4.9892)	Prec@1 5.859 (4.729)	Prec@5 17.188 (16.365)
Epoch: [29][570/7045]	Time 0.623 (0.259)	Data 0.564 (0.194)	Loss 5.0385 (4.9894)	Prec@1 5.469 (4.728)	Prec@5 18.359 (16.360)
Epoch: [29][580/7045]	Time 0.102 (0.258)	Data 0.001 (0.193)	Loss 4.9543 (4.9886)	Prec@1 5.469 (4.747)	Prec@5 19.922 (16.385)
Epoch: [29][590/7045]	Time 0.577 (0.258)	Data 0.519 (0.193)	Loss 5.0688 (4.9884)	Prec@1 3.516 (4.744)	Prec@5 10.156 (16.371)
Epoch: [29][600/7045]	Time 0.101 (0.258)	Data 0.004 (0.192)	Loss 5.1898 (4.9881)	Prec@1 3.906 (4.742)	Prec@5 14.844 (16.387)
Epoch: [29][610/7045]	Time 0.358 (0.258)	Data 0.308 (0.192)	Loss 5.0307 (4.9886)	Prec@1 3.906 (4.742)	Prec@5 15.625 (16.372)
Epoch: [29][620/7045]	Time 0.362 (0.257)	Data 0.310 (0.193)	Loss 5.1265 (4.9897)	Prec@1 2.734 (4.725)	Prec@5 16.406 (16.358)
Epoch: [29][630/7045]	Time 0.234 (0.257)	Data 0.184 (0.192)	Loss 5.0900 (4.9905)	Prec@1 2.734 (4.725)	Prec@5 13.281 (16.356)
Epoch: [29][640/7045]	Time 0.464 (0.257)	Data 0.414 (0.192)	Loss 5.0791 (4.9908)	Prec@1 4.297 (4.725)	Prec@5 16.016 (16.361)
Epoch: [29][650/7045]	Time 0.109 (0.257)	Data 0.001 (0.192)	Loss 5.0353 (4.9920)	Prec@1 5.469 (4.721)	Prec@5 19.141 (16.343)
Epoch: [29][660/7045]	Time 0.520 (0.257)	Data 0.462 (0.192)	Loss 5.0324 (4.9927)	Prec@1 4.688 (4.719)	Prec@5 16.797 (16.328)
Epoch: [29][670/7045]	Time 0.111 (0.257)	Data 0.001 (0.192)	Loss 4.9690 (4.9930)	Prec@1 4.688 (4.717)	Prec@5 17.188 (16.322)
Epoch: [29][680/7045]	Time 0.261 (0.256)	Data 0.210 (0.192)	Loss 5.0312 (4.9938)	Prec@1 7.031 (4.719)	Prec@5 18.750 (16.324)
Epoch: [29][690/7045]	Time 0.371 (0.256)	Data 0.320 (0.192)	Loss 5.1005 (4.9935)	Prec@1 4.688 (4.727)	Prec@5 13.672 (16.330)
Epoch: [29][700/7045]	Time 0.167 (0.256)	Data 0.115 (0.191)	Loss 5.0401 (4.9930)	Prec@1 6.250 (4.729)	Prec@5 16.797 (16.335)
Epoch: [29][710/7045]	Time 0.387 (0.256)	Data 0.335 (0.192)	Loss 5.0114 (4.9927)	Prec@1 4.297 (4.730)	Prec@5 14.844 (16.341)
Epoch: [29][720/7045]	Time 0.465 (0.256)	Data 0.414 (0.192)	Loss 4.9892 (4.9928)	Prec@1 3.516 (4.728)	Prec@5 15.625 (16.334)
Epoch: [29][730/7045]	Time 0.449 (0.256)	Data 0.396 (0.192)	Loss 4.8613 (4.9923)	Prec@1 6.641 (4.739)	Prec@5 17.578 (16.347)
Epoch: [29][740/7045]	Time 0.157 (0.255)	Data 0.106 (0.191)	Loss 5.1661 (4.9923)	Prec@1 3.906 (4.741)	Prec@5 12.500 (16.361)
Epoch: [29][750/7045]	Time 0.101 (0.255)	Data 0.008 (0.191)	Loss 5.1642 (4.9932)	Prec@1 2.344 (4.739)	Prec@5 13.672 (16.345)
Epoch: [29][760/7045]	Time 0.294 (0.255)	Data 0.241 (0.191)	Loss 5.0562 (4.9933)	Prec@1 4.297 (4.736)	Prec@5 13.672 (16.333)
Epoch: [29][770/7045]	Time 0.101 (0.255)	Data 0.005 (0.191)	Loss 5.0489 (4.9942)	Prec@1 3.906 (4.724)	Prec@5 18.750 (16.325)
Epoch: [29][780/7045]	Time 0.793 (0.255)	Data 0.742 (0.192)	Loss 5.0008 (4.9947)	Prec@1 5.078 (4.722)	Prec@5 17.969 (16.329)
Epoch: [29][790/7045]	Time 0.130 (0.255)	Data 0.079 (0.191)	Loss 5.0350 (4.9941)	Prec@1 3.906 (4.718)	Prec@5 14.062 (16.347)
Epoch: [29][800/7045]	Time 0.414 (0.255)	Data 0.360 (0.191)	Loss 4.9544 (4.9945)	Prec@1 4.297 (4.709)	Prec@5 19.531 (16.330)
Epoch: [29][810/7045]	Time 0.508 (0.255)	Data 0.457 (0.191)	Loss 4.9604 (4.9944)	Prec@1 3.516 (4.702)	Prec@5 14.844 (16.331)
Epoch: [29][820/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 5.1369 (4.9952)	Prec@1 1.953 (4.692)	Prec@5 9.766 (16.310)
Epoch: [29][830/7045]	Time 0.297 (0.255)	Data 0.246 (0.191)	Loss 5.0214 (4.9958)	Prec@1 4.688 (4.692)	Prec@5 16.016 (16.304)
Epoch: [29][840/7045]	Time 0.447 (0.255)	Data 0.396 (0.191)	Loss 5.2866 (4.9962)	Prec@1 2.344 (4.686)	Prec@5 12.109 (16.311)
Epoch: [29][850/7045]	Time 0.166 (0.255)	Data 0.115 (0.191)	Loss 5.1799 (4.9962)	Prec@1 5.859 (4.688)	Prec@5 16.016 (16.308)
Epoch: [29][860/7045]	Time 0.409 (0.255)	Data 0.359 (0.191)	Loss 5.0571 (4.9960)	Prec@1 4.297 (4.690)	Prec@5 12.891 (16.306)
Epoch: [29][870/7045]	Time 0.561 (0.255)	Data 0.511 (0.191)	Loss 4.9886 (4.9960)	Prec@1 5.859 (4.690)	Prec@5 17.188 (16.303)
Epoch: [29][880/7045]	Time 0.102 (0.255)	Data 0.050 (0.191)	Loss 5.0981 (4.9962)	Prec@1 3.516 (4.688)	Prec@5 16.016 (16.291)
Epoch: [29][890/7045]	Time 0.591 (0.255)	Data 0.540 (0.191)	Loss 4.9132 (4.9962)	Prec@1 6.250 (4.691)	Prec@5 23.047 (16.303)
Epoch: [29][900/7045]	Time 0.125 (0.255)	Data 0.075 (0.190)	Loss 5.0275 (4.9962)	Prec@1 3.516 (4.693)	Prec@5 15.625 (16.302)
Epoch: [29][910/7045]	Time 0.574 (0.255)	Data 0.522 (0.190)	Loss 4.9489 (4.9960)	Prec@1 6.250 (4.692)	Prec@5 15.625 (16.304)
Epoch: [29][920/7045]	Time 0.119 (0.254)	Data 0.068 (0.190)	Loss 5.0105 (4.9963)	Prec@1 2.734 (4.690)	Prec@5 15.625 (16.300)
Epoch: [29][930/7045]	Time 0.346 (0.254)	Data 0.295 (0.190)	Loss 4.9718 (4.9960)	Prec@1 4.688 (4.688)	Prec@5 17.578 (16.303)
Epoch: [29][940/7045]	Time 0.468 (0.254)	Data 0.416 (0.190)	Loss 5.0704 (4.9960)	Prec@1 5.859 (4.683)	Prec@5 16.797 (16.289)
Epoch: [29][950/7045]	Time 0.101 (0.254)	Data 0.001 (0.190)	Loss 5.0126 (4.9962)	Prec@1 4.688 (4.683)	Prec@5 16.797 (16.290)
Epoch: [29][960/7045]	Time 0.673 (0.255)	Data 0.622 (0.190)	Loss 5.1312 (4.9967)	Prec@1 3.516 (4.685)	Prec@5 12.891 (16.279)
Epoch: [29][970/7045]	Time 0.121 (0.254)	Data 0.063 (0.190)	Loss 5.0800 (4.9964)	Prec@1 3.516 (4.681)	Prec@5 13.281 (16.282)
Epoch: [29][980/7045]	Time 0.336 (0.254)	Data 0.286 (0.190)	Loss 4.9429 (4.9956)	Prec@1 6.250 (4.684)	Prec@5 17.969 (16.288)
Epoch: [29][990/7045]	Time 0.109 (0.254)	Data 0.001 (0.190)	Loss 5.2491 (4.9955)	Prec@1 3.516 (4.688)	Prec@5 11.328 (16.304)
Epoch: [29][1000/7045]	Time 0.102 (0.254)	Data 0.001 (0.189)	Loss 4.9202 (4.9953)	Prec@1 5.469 (4.693)	Prec@5 17.578 (16.315)
Epoch: [29][1010/7045]	Time 0.101 (0.254)	Data 0.011 (0.190)	Loss 5.0176 (4.9955)	Prec@1 4.688 (4.696)	Prec@5 15.234 (16.313)
Epoch: [29][1020/7045]	Time 0.183 (0.254)	Data 0.130 (0.190)	Loss 5.0176 (4.9951)	Prec@1 4.297 (4.698)	Prec@5 17.969 (16.319)
Epoch: [29][1030/7045]	Time 0.106 (0.254)	Data 0.002 (0.190)	Loss 5.0296 (4.9951)	Prec@1 5.078 (4.701)	Prec@5 11.719 (16.313)
Epoch: [29][1040/7045]	Time 0.576 (0.254)	Data 0.524 (0.190)	Loss 4.8850 (4.9945)	Prec@1 5.078 (4.711)	Prec@5 18.750 (16.330)
Epoch: [29][1050/7045]	Time 0.101 (0.254)	Data 0.044 (0.190)	Loss 4.9616 (4.9946)	Prec@1 4.297 (4.711)	Prec@5 17.188 (16.330)
Epoch: [29][1060/7045]	Time 0.419 (0.254)	Data 0.366 (0.190)	Loss 5.0995 (4.9949)	Prec@1 5.078 (4.711)	Prec@5 14.844 (16.323)
Epoch: [29][1070/7045]	Time 0.109 (0.254)	Data 0.055 (0.189)	Loss 5.1041 (4.9948)	Prec@1 4.297 (4.718)	Prec@5 14.453 (16.324)
Epoch: [29][1080/7045]	Time 0.403 (0.254)	Data 0.352 (0.189)	Loss 5.0720 (4.9944)	Prec@1 5.469 (4.722)	Prec@5 12.891 (16.326)
Epoch: [29][1090/7045]	Time 0.111 (0.254)	Data 0.001 (0.189)	Loss 4.9283 (4.9946)	Prec@1 5.469 (4.726)	Prec@5 13.672 (16.320)
Epoch: [29][1100/7045]	Time 0.191 (0.254)	Data 0.140 (0.189)	Loss 4.9952 (4.9943)	Prec@1 5.859 (4.721)	Prec@5 14.453 (16.313)
Epoch: [29][1110/7045]	Time 0.240 (0.254)	Data 0.189 (0.189)	Loss 4.7834 (4.9941)	Prec@1 7.812 (4.714)	Prec@5 20.312 (16.314)
Epoch: [29][1120/7045]	Time 0.314 (0.254)	Data 0.256 (0.189)	Loss 5.0511 (4.9939)	Prec@1 3.906 (4.720)	Prec@5 16.016 (16.325)
Epoch: [29][1130/7045]	Time 0.405 (0.254)	Data 0.353 (0.189)	Loss 5.0190 (4.9940)	Prec@1 7.422 (4.724)	Prec@5 15.625 (16.322)
Epoch: [29][1140/7045]	Time 0.151 (0.254)	Data 0.100 (0.189)	Loss 4.9464 (4.9938)	Prec@1 7.031 (4.730)	Prec@5 16.016 (16.324)
Epoch: [29][1150/7045]	Time 0.243 (0.254)	Data 0.192 (0.189)	Loss 5.0980 (4.9940)	Prec@1 5.469 (4.729)	Prec@5 13.672 (16.318)
Epoch: [29][1160/7045]	Time 0.101 (0.254)	Data 0.001 (0.189)	Loss 4.9081 (4.9939)	Prec@1 5.469 (4.728)	Prec@5 17.188 (16.326)
Epoch: [29][1170/7045]	Time 0.442 (0.254)	Data 0.392 (0.189)	Loss 5.1076 (4.9939)	Prec@1 3.906 (4.726)	Prec@5 14.062 (16.327)
Epoch: [29][1180/7045]	Time 0.104 (0.253)	Data 0.052 (0.189)	Loss 5.0480 (4.9940)	Prec@1 5.469 (4.726)	Prec@5 15.625 (16.327)
Epoch: [29][1190/7045]	Time 0.302 (0.253)	Data 0.250 (0.189)	Loss 5.0965 (4.9939)	Prec@1 3.906 (4.724)	Prec@5 16.406 (16.332)
Epoch: [29][1200/7045]	Time 0.115 (0.253)	Data 0.064 (0.189)	Loss 4.9505 (4.9938)	Prec@1 4.297 (4.718)	Prec@5 18.750 (16.329)
Epoch: [29][1210/7045]	Time 0.191 (0.253)	Data 0.140 (0.189)	Loss 4.9827 (4.9940)	Prec@1 3.906 (4.718)	Prec@5 14.062 (16.321)
Epoch: [29][1220/7045]	Time 0.101 (0.253)	Data 0.001 (0.189)	Loss 5.1175 (4.9941)	Prec@1 3.906 (4.723)	Prec@5 11.719 (16.315)
Epoch: [29][1230/7045]	Time 0.666 (0.254)	Data 0.614 (0.189)	Loss 4.9808 (4.9940)	Prec@1 5.469 (4.724)	Prec@5 16.016 (16.310)
Epoch: [29][1240/7045]	Time 0.140 (0.253)	Data 0.088 (0.189)	Loss 4.9116 (4.9941)	Prec@1 4.297 (4.723)	Prec@5 16.016 (16.311)
Epoch: [29][1250/7045]	Time 0.514 (0.253)	Data 0.463 (0.189)	Loss 4.8406 (4.9936)	Prec@1 3.906 (4.723)	Prec@5 16.797 (16.321)
Epoch: [29][1260/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 5.0037 (4.9932)	Prec@1 3.906 (4.723)	Prec@5 14.453 (16.324)
Epoch: [29][1270/7045]	Time 0.365 (0.253)	Data 0.315 (0.189)	Loss 5.0283 (4.9932)	Prec@1 5.469 (4.723)	Prec@5 15.625 (16.326)
Epoch: [29][1280/7045]	Time 0.117 (0.253)	Data 0.056 (0.189)	Loss 5.0239 (4.9932)	Prec@1 4.688 (4.725)	Prec@5 16.016 (16.323)
Epoch: [29][1290/7045]	Time 0.280 (0.253)	Data 0.229 (0.189)	Loss 4.9912 (4.9936)	Prec@1 3.906 (4.721)	Prec@5 16.016 (16.309)
Epoch: [29][1300/7045]	Time 0.148 (0.253)	Data 0.097 (0.189)	Loss 4.9819 (4.9938)	Prec@1 5.859 (4.718)	Prec@5 17.578 (16.310)
Epoch: [29][1310/7045]	Time 0.155 (0.253)	Data 0.102 (0.189)	Loss 4.9107 (4.9941)	Prec@1 5.078 (4.718)	Prec@5 16.406 (16.305)
Epoch: [29][1320/7045]	Time 0.500 (0.253)	Data 0.450 (0.189)	Loss 4.9626 (4.9937)	Prec@1 3.516 (4.719)	Prec@5 16.797 (16.313)
Epoch: [29][1330/7045]	Time 0.104 (0.253)	Data 0.053 (0.189)	Loss 5.1754 (4.9939)	Prec@1 3.125 (4.719)	Prec@5 14.453 (16.309)
Epoch: [29][1340/7045]	Time 0.566 (0.253)	Data 0.509 (0.189)	Loss 5.0439 (4.9941)	Prec@1 4.688 (4.719)	Prec@5 12.891 (16.307)
Epoch: [29][1350/7045]	Time 0.168 (0.253)	Data 0.118 (0.189)	Loss 5.1690 (4.9945)	Prec@1 5.078 (4.717)	Prec@5 13.281 (16.299)
Epoch: [29][1360/7045]	Time 0.361 (0.253)	Data 0.309 (0.189)	Loss 5.0414 (4.9947)	Prec@1 4.297 (4.713)	Prec@5 15.625 (16.295)
Epoch: [29][1370/7045]	Time 0.151 (0.252)	Data 0.099 (0.188)	Loss 5.0012 (4.9950)	Prec@1 4.297 (4.715)	Prec@5 18.750 (16.295)
Epoch: [29][1380/7045]	Time 0.619 (0.253)	Data 0.568 (0.189)	Loss 4.8388 (4.9946)	Prec@1 7.031 (4.716)	Prec@5 17.578 (16.300)
Epoch: [29][1390/7045]	Time 0.102 (0.252)	Data 0.011 (0.188)	Loss 4.8028 (4.9944)	Prec@1 3.516 (4.711)	Prec@5 16.406 (16.297)
Epoch: [29][1400/7045]	Time 0.333 (0.252)	Data 0.282 (0.189)	Loss 5.1378 (4.9944)	Prec@1 4.688 (4.712)	Prec@5 14.844 (16.299)
Epoch: [29][1410/7045]	Time 0.105 (0.252)	Data 0.052 (0.188)	Loss 5.0878 (4.9945)	Prec@1 4.688 (4.716)	Prec@5 14.453 (16.299)
Epoch: [29][1420/7045]	Time 0.117 (0.252)	Data 0.066 (0.188)	Loss 4.9259 (4.9944)	Prec@1 5.859 (4.715)	Prec@5 17.578 (16.305)
Epoch: [29][1430/7045]	Time 0.103 (0.252)	Data 0.051 (0.189)	Loss 4.9617 (4.9945)	Prec@1 4.297 (4.715)	Prec@5 14.844 (16.303)
Epoch: [29][1440/7045]	Time 0.102 (0.252)	Data 0.005 (0.188)	Loss 5.0181 (4.9949)	Prec@1 4.688 (4.712)	Prec@5 13.672 (16.297)
Epoch: [29][1450/7045]	Time 0.110 (0.252)	Data 0.013 (0.189)	Loss 4.9510 (4.9950)	Prec@1 3.516 (4.712)	Prec@5 14.062 (16.294)
Epoch: [29][1460/7045]	Time 0.101 (0.252)	Data 0.001 (0.188)	Loss 5.0992 (4.9950)	Prec@1 3.906 (4.710)	Prec@5 16.016 (16.296)
Epoch: [29][1470/7045]	Time 0.154 (0.252)	Data 0.102 (0.188)	Loss 5.0411 (4.9948)	Prec@1 3.125 (4.710)	Prec@5 14.062 (16.298)
Epoch: [29][1480/7045]	Time 0.208 (0.252)	Data 0.156 (0.188)	Loss 5.0327 (4.9949)	Prec@1 5.469 (4.709)	Prec@5 16.406 (16.293)
Epoch: [29][1490/7045]	Time 0.285 (0.252)	Data 0.233 (0.188)	Loss 4.8544 (4.9946)	Prec@1 6.250 (4.711)	Prec@5 15.625 (16.298)
Epoch: [29][1500/7045]	Time 0.500 (0.252)	Data 0.449 (0.188)	Loss 4.8148 (4.9941)	Prec@1 5.078 (4.712)	Prec@5 23.047 (16.309)
Epoch: [29][1510/7045]	Time 0.257 (0.252)	Data 0.206 (0.188)	Loss 5.1878 (4.9946)	Prec@1 3.906 (4.713)	Prec@5 13.672 (16.307)
Epoch: [29][1520/7045]	Time 0.315 (0.252)	Data 0.264 (0.188)	Loss 5.1134 (4.9947)	Prec@1 2.344 (4.713)	Prec@5 12.500 (16.310)
Epoch: [29][1530/7045]	Time 0.101 (0.252)	Data 0.005 (0.188)	Loss 5.1320 (4.9951)	Prec@1 3.906 (4.710)	Prec@5 14.844 (16.305)
Epoch: [29][1540/7045]	Time 0.288 (0.252)	Data 0.237 (0.188)	Loss 4.9903 (4.9955)	Prec@1 2.344 (4.706)	Prec@5 13.672 (16.299)
Epoch: [29][1550/7045]	Time 0.101 (0.252)	Data 0.001 (0.188)	Loss 5.1234 (4.9955)	Prec@1 4.688 (4.709)	Prec@5 11.719 (16.300)
Epoch: [29][1560/7045]	Time 0.158 (0.252)	Data 0.107 (0.188)	Loss 4.7781 (4.9955)	Prec@1 8.594 (4.711)	Prec@5 19.922 (16.299)
Epoch: [29][1570/7045]	Time 0.120 (0.252)	Data 0.069 (0.188)	Loss 4.9750 (4.9952)	Prec@1 3.906 (4.709)	Prec@5 16.797 (16.304)
Epoch: [29][1580/7045]	Time 0.143 (0.252)	Data 0.091 (0.188)	Loss 5.1343 (4.9952)	Prec@1 3.125 (4.705)	Prec@5 13.281 (16.307)
Epoch: [29][1590/7045]	Time 0.276 (0.252)	Data 0.224 (0.188)	Loss 5.0594 (4.9955)	Prec@1 5.469 (4.703)	Prec@5 17.188 (16.299)
Epoch: [29][1600/7045]	Time 0.290 (0.252)	Data 0.240 (0.188)	Loss 5.0951 (4.9957)	Prec@1 4.297 (4.705)	Prec@5 16.797 (16.298)
Epoch: [29][1610/7045]	Time 0.128 (0.252)	Data 0.076 (0.188)	Loss 5.0592 (4.9958)	Prec@1 4.297 (4.700)	Prec@5 13.672 (16.286)
Epoch: [29][1620/7045]	Time 0.284 (0.252)	Data 0.234 (0.188)	Loss 5.0256 (4.9957)	Prec@1 4.297 (4.699)	Prec@5 15.625 (16.287)
Epoch: [29][1630/7045]	Time 0.105 (0.252)	Data 0.052 (0.188)	Loss 4.9757 (4.9957)	Prec@1 6.250 (4.702)	Prec@5 14.844 (16.281)
Epoch: [29][1640/7045]	Time 0.622 (0.252)	Data 0.570 (0.188)	Loss 5.0484 (4.9956)	Prec@1 4.297 (4.704)	Prec@5 13.281 (16.279)
Epoch: [29][1650/7045]	Time 0.114 (0.252)	Data 0.061 (0.188)	Loss 5.0688 (4.9955)	Prec@1 5.078 (4.706)	Prec@5 15.625 (16.279)
Epoch: [29][1660/7045]	Time 0.511 (0.252)	Data 0.459 (0.188)	Loss 5.1080 (4.9962)	Prec@1 3.516 (4.702)	Prec@5 15.234 (16.268)
Epoch: [29][1670/7045]	Time 0.148 (0.252)	Data 0.097 (0.188)	Loss 5.1280 (4.9968)	Prec@1 6.250 (4.698)	Prec@5 14.844 (16.264)
Epoch: [29][1680/7045]	Time 0.227 (0.252)	Data 0.176 (0.188)	Loss 5.0020 (4.9971)	Prec@1 1.953 (4.694)	Prec@5 14.062 (16.255)
Epoch: [29][1690/7045]	Time 0.198 (0.252)	Data 0.137 (0.188)	Loss 4.9749 (4.9970)	Prec@1 6.641 (4.694)	Prec@5 16.797 (16.263)
Epoch: [29][1700/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 5.1781 (4.9970)	Prec@1 5.078 (4.696)	Prec@5 13.672 (16.261)
Epoch: [29][1710/7045]	Time 0.108 (0.252)	Data 0.005 (0.188)	Loss 4.9434 (4.9968)	Prec@1 5.469 (4.698)	Prec@5 18.359 (16.263)
Epoch: [29][1720/7045]	Time 0.230 (0.252)	Data 0.179 (0.188)	Loss 5.0624 (4.9968)	Prec@1 4.297 (4.701)	Prec@5 16.016 (16.263)
Epoch: [29][1730/7045]	Time 0.107 (0.252)	Data 0.055 (0.188)	Loss 5.0628 (4.9972)	Prec@1 3.125 (4.700)	Prec@5 16.406 (16.262)
Epoch: [29][1740/7045]	Time 0.132 (0.252)	Data 0.079 (0.188)	Loss 5.0172 (4.9969)	Prec@1 4.688 (4.704)	Prec@5 16.016 (16.265)
Epoch: [29][1750/7045]	Time 0.100 (0.252)	Data 0.046 (0.188)	Loss 5.0530 (4.9972)	Prec@1 2.344 (4.704)	Prec@5 12.891 (16.257)
Epoch: [29][1760/7045]	Time 0.101 (0.251)	Data 0.020 (0.188)	Loss 4.8251 (4.9971)	Prec@1 6.250 (4.702)	Prec@5 19.531 (16.257)
Epoch: [29][1770/7045]	Time 0.101 (0.251)	Data 0.047 (0.188)	Loss 4.9439 (4.9974)	Prec@1 6.641 (4.703)	Prec@5 22.266 (16.256)
Epoch: [29][1780/7045]	Time 0.100 (0.251)	Data 0.011 (0.188)	Loss 4.9980 (4.9972)	Prec@1 3.516 (4.702)	Prec@5 14.453 (16.255)
Epoch: [29][1790/7045]	Time 0.391 (0.252)	Data 0.340 (0.188)	Loss 5.0669 (4.9974)	Prec@1 5.469 (4.703)	Prec@5 16.016 (16.252)
Epoch: [29][1800/7045]	Time 0.278 (0.252)	Data 0.227 (0.188)	Loss 5.0203 (4.9975)	Prec@1 4.688 (4.706)	Prec@5 17.578 (16.249)
Epoch: [29][1810/7045]	Time 0.470 (0.252)	Data 0.418 (0.188)	Loss 5.1134 (4.9975)	Prec@1 3.906 (4.705)	Prec@5 14.062 (16.247)
Epoch: [29][1820/7045]	Time 0.147 (0.251)	Data 0.096 (0.188)	Loss 5.0583 (4.9977)	Prec@1 5.469 (4.705)	Prec@5 10.547 (16.245)
Epoch: [29][1830/7045]	Time 0.626 (0.252)	Data 0.575 (0.188)	Loss 4.8955 (4.9975)	Prec@1 6.250 (4.712)	Prec@5 18.359 (16.252)
Epoch: [29][1840/7045]	Time 0.112 (0.251)	Data 0.060 (0.188)	Loss 5.0525 (4.9977)	Prec@1 4.688 (4.715)	Prec@5 13.672 (16.248)
Epoch: [29][1850/7045]	Time 0.662 (0.251)	Data 0.606 (0.188)	Loss 4.8579 (4.9975)	Prec@1 4.297 (4.714)	Prec@5 16.406 (16.250)
Epoch: [29][1860/7045]	Time 0.102 (0.251)	Data 0.050 (0.188)	Loss 4.9068 (4.9971)	Prec@1 6.250 (4.718)	Prec@5 17.188 (16.258)
Epoch: [29][1870/7045]	Time 0.602 (0.251)	Data 0.546 (0.188)	Loss 4.8530 (4.9974)	Prec@1 5.078 (4.713)	Prec@5 17.578 (16.250)
Epoch: [29][1880/7045]	Time 0.476 (0.251)	Data 0.426 (0.188)	Loss 4.9956 (4.9974)	Prec@1 5.469 (4.712)	Prec@5 18.359 (16.254)
Epoch: [29][1890/7045]	Time 0.109 (0.251)	Data 0.001 (0.188)	Loss 5.0712 (4.9975)	Prec@1 5.078 (4.711)	Prec@5 16.016 (16.246)
Epoch: [29][1900/7045]	Time 0.463 (0.251)	Data 0.412 (0.188)	Loss 5.0174 (4.9972)	Prec@1 5.859 (4.714)	Prec@5 16.016 (16.248)
Epoch: [29][1910/7045]	Time 0.110 (0.251)	Data 0.059 (0.188)	Loss 4.9023 (4.9971)	Prec@1 4.688 (4.713)	Prec@5 17.578 (16.249)
Epoch: [29][1920/7045]	Time 0.525 (0.251)	Data 0.474 (0.188)	Loss 4.8652 (4.9970)	Prec@1 4.297 (4.714)	Prec@5 16.406 (16.248)
Epoch: [29][1930/7045]	Time 0.308 (0.251)	Data 0.257 (0.188)	Loss 5.1531 (4.9970)	Prec@1 2.734 (4.712)	Prec@5 10.547 (16.241)
Epoch: [29][1940/7045]	Time 0.394 (0.251)	Data 0.343 (0.188)	Loss 5.1383 (4.9973)	Prec@1 6.641 (4.712)	Prec@5 15.234 (16.241)
Epoch: [29][1950/7045]	Time 0.340 (0.251)	Data 0.288 (0.188)	Loss 5.0532 (4.9977)	Prec@1 5.078 (4.708)	Prec@5 13.281 (16.233)
Epoch: [29][1960/7045]	Time 0.291 (0.251)	Data 0.239 (0.188)	Loss 5.1725 (4.9977)	Prec@1 3.516 (4.707)	Prec@5 13.672 (16.234)
Epoch: [29][1970/7045]	Time 0.463 (0.251)	Data 0.411 (0.188)	Loss 5.0844 (4.9977)	Prec@1 4.297 (4.707)	Prec@5 16.797 (16.235)
Epoch: [29][1980/7045]	Time 0.109 (0.251)	Data 0.001 (0.188)	Loss 4.9536 (4.9978)	Prec@1 7.812 (4.707)	Prec@5 17.578 (16.233)
Epoch: [29][1990/7045]	Time 0.680 (0.251)	Data 0.621 (0.188)	Loss 5.0518 (4.9982)	Prec@1 5.469 (4.705)	Prec@5 17.578 (16.226)
Epoch: [29][2000/7045]	Time 0.094 (0.251)	Data 0.001 (0.188)	Loss 5.0756 (4.9982)	Prec@1 2.734 (4.707)	Prec@5 12.109 (16.226)
Epoch: [29][2010/7045]	Time 0.511 (0.251)	Data 0.459 (0.188)	Loss 5.0713 (4.9985)	Prec@1 2.734 (4.707)	Prec@5 14.844 (16.219)
Epoch: [29][2020/7045]	Time 0.196 (0.251)	Data 0.145 (0.188)	Loss 4.9423 (4.9983)	Prec@1 4.688 (4.708)	Prec@5 15.625 (16.223)
Epoch: [29][2030/7045]	Time 0.111 (0.251)	Data 0.001 (0.188)	Loss 4.9678 (4.9983)	Prec@1 5.469 (4.706)	Prec@5 16.797 (16.220)
Epoch: [29][2040/7045]	Time 0.101 (0.251)	Data 0.001 (0.188)	Loss 4.9370 (4.9981)	Prec@1 2.734 (4.708)	Prec@5 17.188 (16.227)
Epoch: [29][2050/7045]	Time 0.307 (0.251)	Data 0.255 (0.188)	Loss 4.9281 (4.9978)	Prec@1 4.688 (4.711)	Prec@5 15.234 (16.230)
Epoch: [29][2060/7045]	Time 0.437 (0.251)	Data 0.380 (0.188)	Loss 4.9939 (4.9977)	Prec@1 3.125 (4.711)	Prec@5 12.891 (16.229)
Epoch: [29][2070/7045]	Time 0.251 (0.251)	Data 0.199 (0.188)	Loss 4.9367 (4.9975)	Prec@1 3.906 (4.711)	Prec@5 16.406 (16.230)
Epoch: [29][2080/7045]	Time 0.690 (0.251)	Data 0.638 (0.188)	Loss 4.8330 (4.9973)	Prec@1 8.594 (4.714)	Prec@5 21.484 (16.236)
Epoch: [29][2090/7045]	Time 0.102 (0.251)	Data 0.049 (0.188)	Loss 5.0651 (4.9974)	Prec@1 4.297 (4.715)	Prec@5 17.578 (16.238)
Epoch: [29][2100/7045]	Time 0.497 (0.251)	Data 0.447 (0.188)	Loss 5.2350 (4.9974)	Prec@1 2.734 (4.715)	Prec@5 9.766 (16.240)
Epoch: [29][2110/7045]	Time 0.112 (0.251)	Data 0.001 (0.188)	Loss 4.9667 (4.9975)	Prec@1 5.078 (4.717)	Prec@5 16.016 (16.244)
Epoch: [29][2120/7045]	Time 0.301 (0.251)	Data 0.250 (0.188)	Loss 5.0436 (4.9975)	Prec@1 5.078 (4.714)	Prec@5 17.578 (16.243)
Epoch: [29][2130/7045]	Time 0.325 (0.251)	Data 0.275 (0.188)	Loss 5.0937 (4.9976)	Prec@1 5.078 (4.716)	Prec@5 12.891 (16.242)
Epoch: [29][2140/7045]	Time 0.111 (0.251)	Data 0.005 (0.188)	Loss 5.1271 (4.9978)	Prec@1 3.906 (4.717)	Prec@5 15.234 (16.237)
Epoch: [29][2150/7045]	Time 0.519 (0.251)	Data 0.468 (0.188)	Loss 5.0860 (4.9979)	Prec@1 4.688 (4.716)	Prec@5 16.406 (16.235)
Epoch: [29][2160/7045]	Time 0.111 (0.251)	Data 0.059 (0.188)	Loss 5.1287 (4.9980)	Prec@1 1.953 (4.714)	Prec@5 13.672 (16.233)
Epoch: [29][2170/7045]	Time 0.788 (0.251)	Data 0.738 (0.188)	Loss 4.9936 (4.9980)	Prec@1 4.297 (4.719)	Prec@5 13.672 (16.235)
Epoch: [29][2180/7045]	Time 0.105 (0.251)	Data 0.001 (0.188)	Loss 4.8999 (4.9980)	Prec@1 7.031 (4.723)	Prec@5 18.750 (16.236)
Epoch: [29][2190/7045]	Time 0.653 (0.251)	Data 0.601 (0.188)	Loss 5.0075 (4.9976)	Prec@1 4.297 (4.727)	Prec@5 18.359 (16.243)
Epoch: [29][2200/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 5.0872 (4.9976)	Prec@1 2.734 (4.728)	Prec@5 14.844 (16.244)
Epoch: [29][2210/7045]	Time 0.760 (0.251)	Data 0.709 (0.188)	Loss 5.0922 (4.9974)	Prec@1 1.562 (4.728)	Prec@5 12.891 (16.244)
Epoch: [29][2220/7045]	Time 0.101 (0.251)	Data 0.013 (0.187)	Loss 4.9502 (4.9974)	Prec@1 3.906 (4.727)	Prec@5 16.406 (16.243)
Epoch: [29][2230/7045]	Time 0.738 (0.251)	Data 0.687 (0.187)	Loss 4.9555 (4.9974)	Prec@1 2.344 (4.725)	Prec@5 17.969 (16.242)
Epoch: [29][2240/7045]	Time 0.104 (0.251)	Data 0.053 (0.187)	Loss 5.1129 (4.9975)	Prec@1 3.516 (4.725)	Prec@5 15.234 (16.238)
Epoch: [29][2250/7045]	Time 0.580 (0.251)	Data 0.528 (0.187)	Loss 4.9924 (4.9974)	Prec@1 3.906 (4.726)	Prec@5 15.625 (16.241)
Epoch: [29][2260/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 4.9292 (4.9972)	Prec@1 5.078 (4.728)	Prec@5 19.531 (16.245)
Epoch: [29][2270/7045]	Time 0.719 (0.251)	Data 0.660 (0.187)	Loss 5.1267 (4.9976)	Prec@1 3.125 (4.724)	Prec@5 11.328 (16.235)
Epoch: [29][2280/7045]	Time 0.124 (0.251)	Data 0.072 (0.187)	Loss 4.9838 (4.9980)	Prec@1 3.125 (4.721)	Prec@5 14.062 (16.229)
Epoch: [29][2290/7045]	Time 0.592 (0.251)	Data 0.531 (0.187)	Loss 5.0026 (4.9983)	Prec@1 4.688 (4.719)	Prec@5 14.453 (16.222)
Epoch: [29][2300/7045]	Time 0.102 (0.251)	Data 0.044 (0.187)	Loss 5.0191 (4.9986)	Prec@1 4.297 (4.717)	Prec@5 11.719 (16.215)
Epoch: [29][2310/7045]	Time 0.579 (0.251)	Data 0.527 (0.187)	Loss 5.0428 (4.9988)	Prec@1 4.688 (4.717)	Prec@5 13.672 (16.213)
Epoch: [29][2320/7045]	Time 0.287 (0.251)	Data 0.236 (0.187)	Loss 4.9411 (4.9987)	Prec@1 5.469 (4.717)	Prec@5 17.188 (16.216)
Epoch: [29][2330/7045]	Time 0.206 (0.251)	Data 0.155 (0.187)	Loss 5.0174 (4.9987)	Prec@1 5.078 (4.713)	Prec@5 17.188 (16.213)
Epoch: [29][2340/7045]	Time 0.783 (0.251)	Data 0.720 (0.187)	Loss 5.1874 (4.9985)	Prec@1 1.172 (4.713)	Prec@5 10.547 (16.216)
Epoch: [29][2350/7045]	Time 0.102 (0.251)	Data 0.049 (0.187)	Loss 5.0355 (4.9988)	Prec@1 2.734 (4.711)	Prec@5 14.453 (16.211)
Epoch: [29][2360/7045]	Time 0.603 (0.251)	Data 0.552 (0.187)	Loss 4.8866 (4.9988)	Prec@1 5.469 (4.710)	Prec@5 17.578 (16.210)
Epoch: [29][2370/7045]	Time 0.418 (0.251)	Data 0.362 (0.187)	Loss 4.8671 (4.9989)	Prec@1 4.688 (4.708)	Prec@5 17.969 (16.209)
Epoch: [29][2380/7045]	Time 0.256 (0.251)	Data 0.204 (0.187)	Loss 5.0288 (4.9988)	Prec@1 3.125 (4.709)	Prec@5 15.234 (16.211)
Epoch: [29][2390/7045]	Time 0.558 (0.251)	Data 0.502 (0.187)	Loss 5.0617 (4.9989)	Prec@1 4.688 (4.710)	Prec@5 14.062 (16.209)
Epoch: [29][2400/7045]	Time 0.196 (0.251)	Data 0.146 (0.187)	Loss 5.1326 (4.9991)	Prec@1 3.516 (4.708)	Prec@5 14.062 (16.203)
Epoch: [29][2410/7045]	Time 0.524 (0.251)	Data 0.472 (0.187)	Loss 5.0765 (4.9992)	Prec@1 4.297 (4.708)	Prec@5 15.234 (16.199)
Epoch: [29][2420/7045]	Time 0.173 (0.251)	Data 0.121 (0.187)	Loss 5.0093 (4.9994)	Prec@1 4.688 (4.708)	Prec@5 16.406 (16.198)
Epoch: [29][2430/7045]	Time 0.587 (0.251)	Data 0.537 (0.187)	Loss 4.9614 (4.9994)	Prec@1 7.031 (4.706)	Prec@5 19.922 (16.195)
Epoch: [29][2440/7045]	Time 0.190 (0.251)	Data 0.138 (0.187)	Loss 5.0000 (4.9994)	Prec@1 5.469 (4.709)	Prec@5 16.406 (16.198)
Epoch: [29][2450/7045]	Time 0.552 (0.251)	Data 0.500 (0.187)	Loss 4.9967 (4.9995)	Prec@1 5.469 (4.709)	Prec@5 17.188 (16.197)
Epoch: [29][2460/7045]	Time 0.110 (0.251)	Data 0.013 (0.187)	Loss 5.0490 (4.9998)	Prec@1 3.125 (4.705)	Prec@5 15.625 (16.188)
Epoch: [29][2470/7045]	Time 0.283 (0.251)	Data 0.233 (0.187)	Loss 4.9685 (4.9999)	Prec@1 6.250 (4.707)	Prec@5 16.797 (16.187)
Epoch: [29][2480/7045]	Time 0.220 (0.251)	Data 0.169 (0.187)	Loss 5.2075 (5.0001)	Prec@1 3.906 (4.705)	Prec@5 13.672 (16.187)
Epoch: [29][2490/7045]	Time 0.109 (0.251)	Data 0.056 (0.187)	Loss 5.0027 (5.0003)	Prec@1 4.688 (4.706)	Prec@5 16.016 (16.181)
Epoch: [29][2500/7045]	Time 0.105 (0.251)	Data 0.054 (0.187)	Loss 5.1103 (5.0001)	Prec@1 1.953 (4.706)	Prec@5 14.062 (16.187)
Epoch: [29][2510/7045]	Time 0.106 (0.251)	Data 0.001 (0.187)	Loss 5.2852 (5.0004)	Prec@1 3.125 (4.703)	Prec@5 15.234 (16.182)
Epoch: [29][2520/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 5.2269 (5.0007)	Prec@1 5.469 (4.701)	Prec@5 13.672 (16.179)
Epoch: [29][2530/7045]	Time 0.362 (0.251)	Data 0.310 (0.187)	Loss 4.9702 (5.0010)	Prec@1 5.859 (4.698)	Prec@5 16.797 (16.171)
Epoch: [29][2540/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 5.2134 (5.0014)	Prec@1 5.078 (4.695)	Prec@5 12.500 (16.164)
Epoch: [29][2550/7045]	Time 0.283 (0.251)	Data 0.224 (0.187)	Loss 4.9756 (5.0018)	Prec@1 3.906 (4.693)	Prec@5 14.062 (16.160)
Epoch: [29][2560/7045]	Time 0.139 (0.251)	Data 0.086 (0.186)	Loss 5.0105 (5.0018)	Prec@1 5.078 (4.694)	Prec@5 17.578 (16.160)
Epoch: [29][2570/7045]	Time 0.243 (0.251)	Data 0.192 (0.187)	Loss 5.1662 (5.0019)	Prec@1 1.562 (4.693)	Prec@5 12.109 (16.158)
Epoch: [29][2580/7045]	Time 0.255 (0.251)	Data 0.203 (0.187)	Loss 4.9881 (5.0018)	Prec@1 4.297 (4.696)	Prec@5 18.359 (16.160)
Epoch: [29][2590/7045]	Time 0.111 (0.251)	Data 0.001 (0.187)	Loss 5.0097 (5.0017)	Prec@1 4.688 (4.695)	Prec@5 16.797 (16.161)
Epoch: [29][2600/7045]	Time 0.550 (0.251)	Data 0.499 (0.187)	Loss 4.9588 (5.0017)	Prec@1 5.859 (4.694)	Prec@5 17.969 (16.158)
Epoch: [29][2610/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 5.0604 (5.0019)	Prec@1 6.641 (4.696)	Prec@5 16.406 (16.154)
Epoch: [29][2620/7045]	Time 0.523 (0.251)	Data 0.472 (0.187)	Loss 4.9757 (5.0018)	Prec@1 6.250 (4.696)	Prec@5 17.969 (16.155)
Epoch: [29][2630/7045]	Time 0.103 (0.251)	Data 0.008 (0.186)	Loss 5.1586 (5.0019)	Prec@1 3.906 (4.696)	Prec@5 15.625 (16.154)
Epoch: [29][2640/7045]	Time 0.453 (0.251)	Data 0.401 (0.186)	Loss 5.0829 (5.0021)	Prec@1 3.516 (4.697)	Prec@5 14.062 (16.153)
Epoch: [29][2650/7045]	Time 0.119 (0.251)	Data 0.067 (0.186)	Loss 5.0537 (5.0024)	Prec@1 4.688 (4.697)	Prec@5 14.453 (16.148)
Epoch: [29][2660/7045]	Time 0.378 (0.251)	Data 0.327 (0.186)	Loss 5.0230 (5.0025)	Prec@1 4.297 (4.696)	Prec@5 13.672 (16.148)
Epoch: [29][2670/7045]	Time 0.221 (0.251)	Data 0.163 (0.186)	Loss 4.9695 (5.0024)	Prec@1 5.078 (4.695)	Prec@5 18.359 (16.146)
Epoch: [29][2680/7045]	Time 0.309 (0.251)	Data 0.258 (0.186)	Loss 5.0279 (5.0022)	Prec@1 8.594 (4.697)	Prec@5 20.312 (16.153)
Epoch: [29][2690/7045]	Time 0.459 (0.251)	Data 0.406 (0.187)	Loss 5.1421 (5.0020)	Prec@1 4.688 (4.700)	Prec@5 14.844 (16.162)
Epoch: [29][2700/7045]	Time 0.194 (0.250)	Data 0.143 (0.186)	Loss 5.1110 (5.0020)	Prec@1 3.516 (4.697)	Prec@5 13.672 (16.159)
Epoch: [29][2710/7045]	Time 0.587 (0.251)	Data 0.536 (0.186)	Loss 4.9261 (5.0021)	Prec@1 4.297 (4.697)	Prec@5 14.844 (16.159)
Epoch: [29][2720/7045]	Time 0.102 (0.250)	Data 0.046 (0.186)	Loss 4.9655 (5.0021)	Prec@1 5.078 (4.697)	Prec@5 18.359 (16.158)
Epoch: [29][2730/7045]	Time 0.624 (0.251)	Data 0.573 (0.186)	Loss 4.9435 (5.0019)	Prec@1 3.906 (4.697)	Prec@5 15.625 (16.161)
Epoch: [29][2740/7045]	Time 0.110 (0.250)	Data 0.003 (0.186)	Loss 4.9788 (5.0020)	Prec@1 5.469 (4.695)	Prec@5 16.016 (16.156)
Epoch: [29][2750/7045]	Time 0.427 (0.251)	Data 0.375 (0.186)	Loss 4.9028 (5.0020)	Prec@1 6.641 (4.696)	Prec@5 19.141 (16.153)
Epoch: [29][2760/7045]	Time 0.310 (0.250)	Data 0.259 (0.186)	Loss 5.0593 (5.0020)	Prec@1 3.125 (4.695)	Prec@5 12.109 (16.153)
Epoch: [29][2770/7045]	Time 0.238 (0.250)	Data 0.187 (0.186)	Loss 4.9905 (5.0019)	Prec@1 3.516 (4.695)	Prec@5 15.625 (16.153)
Epoch: [29][2780/7045]	Time 0.101 (0.250)	Data 0.001 (0.186)	Loss 5.0416 (5.0019)	Prec@1 4.688 (4.697)	Prec@5 20.312 (16.157)
Epoch: [29][2790/7045]	Time 0.101 (0.250)	Data 0.015 (0.186)	Loss 4.9116 (5.0018)	Prec@1 7.422 (4.698)	Prec@5 20.312 (16.155)
Epoch: [29][2800/7045]	Time 0.100 (0.250)	Data 0.016 (0.186)	Loss 5.1987 (5.0020)	Prec@1 2.344 (4.697)	Prec@5 14.844 (16.156)
Epoch: [29][2810/7045]	Time 0.168 (0.250)	Data 0.117 (0.186)	Loss 5.0022 (5.0022)	Prec@1 5.859 (4.695)	Prec@5 17.578 (16.157)
Epoch: [29][2820/7045]	Time 0.286 (0.250)	Data 0.234 (0.186)	Loss 5.1018 (5.0025)	Prec@1 1.953 (4.693)	Prec@5 13.281 (16.150)
Epoch: [29][2830/7045]	Time 0.101 (0.250)	Data 0.001 (0.186)	Loss 4.8557 (5.0025)	Prec@1 5.078 (4.690)	Prec@5 18.750 (16.151)
Epoch: [29][2840/7045]	Time 0.538 (0.250)	Data 0.486 (0.186)	Loss 5.1447 (5.0027)	Prec@1 3.125 (4.690)	Prec@5 12.109 (16.152)
Epoch: [29][2850/7045]	Time 0.095 (0.250)	Data 0.001 (0.186)	Loss 4.9581 (5.0026)	Prec@1 6.641 (4.693)	Prec@5 14.453 (16.154)
Epoch: [29][2860/7045]	Time 0.116 (0.250)	Data 0.066 (0.186)	Loss 5.0290 (5.0026)	Prec@1 5.469 (4.694)	Prec@5 15.234 (16.155)
Epoch: [29][2870/7045]	Time 0.112 (0.250)	Data 0.001 (0.186)	Loss 4.9858 (5.0027)	Prec@1 5.078 (4.694)	Prec@5 17.578 (16.151)
Epoch: [29][2880/7045]	Time 0.101 (0.250)	Data 0.001 (0.186)	Loss 5.0046 (5.0027)	Prec@1 3.125 (4.693)	Prec@5 15.234 (16.149)
Epoch: [29][2890/7045]	Time 0.110 (0.250)	Data 0.003 (0.186)	Loss 4.9468 (5.0027)	Prec@1 5.078 (4.693)	Prec@5 16.797 (16.148)
Epoch: [29][2900/7045]	Time 0.101 (0.250)	Data 0.001 (0.186)	Loss 5.0812 (5.0028)	Prec@1 4.297 (4.692)	Prec@5 12.500 (16.146)
Epoch: [29][2910/7045]	Time 0.175 (0.250)	Data 0.122 (0.186)	Loss 4.7999 (5.0027)	Prec@1 3.906 (4.694)	Prec@5 22.656 (16.153)
Epoch: [29][2920/7045]	Time 0.110 (0.250)	Data 0.058 (0.186)	Loss 5.0926 (5.0029)	Prec@1 2.344 (4.690)	Prec@5 11.328 (16.146)
Epoch: [29][2930/7045]	Time 0.652 (0.250)	Data 0.601 (0.186)	Loss 5.0687 (5.0030)	Prec@1 3.125 (4.688)	Prec@5 10.547 (16.141)
Epoch: [29][2940/7045]	Time 0.106 (0.250)	Data 0.055 (0.186)	Loss 4.9496 (5.0029)	Prec@1 5.469 (4.689)	Prec@5 19.141 (16.143)
Epoch: [29][2950/7045]	Time 0.528 (0.250)	Data 0.477 (0.186)	Loss 4.9588 (5.0030)	Prec@1 4.688 (4.689)	Prec@5 17.578 (16.142)
Epoch: [29][2960/7045]	Time 0.178 (0.250)	Data 0.125 (0.186)	Loss 4.8281 (5.0028)	Prec@1 5.859 (4.691)	Prec@5 20.703 (16.145)
Epoch: [29][2970/7045]	Time 0.102 (0.250)	Data 0.046 (0.186)	Loss 4.9875 (5.0029)	Prec@1 5.469 (4.689)	Prec@5 13.672 (16.144)
Epoch: [29][2980/7045]	Time 0.467 (0.250)	Data 0.415 (0.186)	Loss 4.7772 (5.0030)	Prec@1 7.422 (4.689)	Prec@5 19.531 (16.144)
Epoch: [29][2990/7045]	Time 0.126 (0.250)	Data 0.067 (0.186)	Loss 5.0857 (5.0031)	Prec@1 3.125 (4.689)	Prec@5 16.797 (16.144)
Epoch: [29][3000/7045]	Time 0.439 (0.250)	Data 0.387 (0.186)	Loss 5.0742 (5.0033)	Prec@1 7.422 (4.687)	Prec@5 18.359 (16.141)
Epoch: [29][3010/7045]	Time 0.178 (0.250)	Data 0.127 (0.186)	Loss 5.0069 (5.0033)	Prec@1 5.469 (4.686)	Prec@5 15.625 (16.137)
Epoch: [29][3020/7045]	Time 0.100 (0.250)	Data 0.006 (0.186)	Loss 4.9481 (5.0032)	Prec@1 6.641 (4.686)	Prec@5 16.406 (16.136)
Epoch: [29][3030/7045]	Time 0.469 (0.250)	Data 0.417 (0.186)	Loss 4.9307 (5.0031)	Prec@1 3.516 (4.688)	Prec@5 17.578 (16.140)
Epoch: [29][3040/7045]	Time 0.382 (0.250)	Data 0.331 (0.186)	Loss 5.1101 (5.0031)	Prec@1 2.344 (4.689)	Prec@5 14.062 (16.141)
Epoch: [29][3050/7045]	Time 0.253 (0.250)	Data 0.191 (0.186)	Loss 4.9674 (5.0030)	Prec@1 5.859 (4.686)	Prec@5 15.625 (16.142)
Epoch: [29][3060/7045]	Time 0.498 (0.250)	Data 0.446 (0.186)	Loss 4.8936 (5.0030)	Prec@1 6.250 (4.687)	Prec@5 20.312 (16.145)
Epoch: [29][3070/7045]	Time 0.101 (0.250)	Data 0.001 (0.186)	Loss 5.0336 (5.0029)	Prec@1 4.297 (4.685)	Prec@5 15.625 (16.147)
Epoch: [29][3080/7045]	Time 0.392 (0.250)	Data 0.340 (0.186)	Loss 5.0417 (5.0030)	Prec@1 3.516 (4.685)	Prec@5 14.062 (16.146)
Epoch: [29][3090/7045]	Time 0.204 (0.250)	Data 0.153 (0.186)	Loss 5.0208 (5.0032)	Prec@1 6.641 (4.686)	Prec@5 18.359 (16.146)
Epoch: [29][3100/7045]	Time 0.221 (0.250)	Data 0.169 (0.186)	Loss 5.1287 (5.0032)	Prec@1 3.516 (4.685)	Prec@5 12.891 (16.142)
Epoch: [29][3110/7045]	Time 0.100 (0.250)	Data 0.005 (0.186)	Loss 4.9545 (5.0033)	Prec@1 6.641 (4.685)	Prec@5 18.359 (16.143)
Epoch: [29][3120/7045]	Time 0.168 (0.250)	Data 0.116 (0.186)	Loss 5.0347 (5.0034)	Prec@1 5.078 (4.685)	Prec@5 17.969 (16.143)
Epoch: [29][3130/7045]	Time 0.192 (0.250)	Data 0.141 (0.186)	Loss 5.1061 (5.0036)	Prec@1 5.078 (4.686)	Prec@5 14.062 (16.140)
Epoch: [29][3140/7045]	Time 0.476 (0.250)	Data 0.423 (0.186)	Loss 5.1036 (5.0040)	Prec@1 3.516 (4.683)	Prec@5 16.406 (16.133)
Epoch: [29][3150/7045]	Time 0.101 (0.250)	Data 0.001 (0.186)	Loss 4.9721 (5.0042)	Prec@1 3.906 (4.680)	Prec@5 13.281 (16.128)
Epoch: [29][3160/7045]	Time 0.360 (0.250)	Data 0.309 (0.186)	Loss 5.0830 (5.0041)	Prec@1 4.688 (4.683)	Prec@5 13.281 (16.128)
Epoch: [29][3170/7045]	Time 0.221 (0.250)	Data 0.160 (0.186)	Loss 5.1509 (5.0043)	Prec@1 3.906 (4.681)	Prec@5 14.453 (16.124)
Epoch: [29][3180/7045]	Time 0.135 (0.250)	Data 0.083 (0.186)	Loss 5.0343 (5.0045)	Prec@1 5.469 (4.681)	Prec@5 16.797 (16.120)
Epoch: [29][3190/7045]	Time 0.129 (0.250)	Data 0.078 (0.186)	Loss 5.0493 (5.0046)	Prec@1 5.859 (4.679)	Prec@5 17.969 (16.120)
Epoch: [29][3200/7045]	Time 0.349 (0.250)	Data 0.298 (0.186)	Loss 5.1277 (5.0046)	Prec@1 2.344 (4.680)	Prec@5 11.719 (16.120)
Epoch: [29][3210/7045]	Time 0.234 (0.250)	Data 0.184 (0.186)	Loss 5.0413 (5.0046)	Prec@1 4.297 (4.679)	Prec@5 16.406 (16.124)
Epoch: [29][3220/7045]	Time 0.608 (0.250)	Data 0.557 (0.186)	Loss 5.0628 (5.0045)	Prec@1 5.078 (4.681)	Prec@5 15.234 (16.128)
Epoch: [29][3230/7045]	Time 0.159 (0.250)	Data 0.108 (0.186)	Loss 4.9826 (5.0044)	Prec@1 3.516 (4.682)	Prec@5 17.578 (16.134)
Epoch: [29][3240/7045]	Time 0.407 (0.250)	Data 0.355 (0.186)	Loss 5.0311 (5.0044)	Prec@1 4.688 (4.680)	Prec@5 19.141 (16.132)
Epoch: [29][3250/7045]	Time 0.412 (0.250)	Data 0.352 (0.186)	Loss 4.9870 (5.0043)	Prec@1 3.906 (4.681)	Prec@5 14.844 (16.130)
Epoch: [29][3260/7045]	Time 0.145 (0.250)	Data 0.089 (0.186)	Loss 5.0628 (5.0042)	Prec@1 2.734 (4.683)	Prec@5 10.938 (16.132)
Epoch: [29][3270/7045]	Time 0.621 (0.250)	Data 0.570 (0.186)	Loss 5.1102 (5.0042)	Prec@1 5.469 (4.683)	Prec@5 16.406 (16.135)
Epoch: [29][3280/7045]	Time 0.332 (0.250)	Data 0.280 (0.186)	Loss 5.1382 (5.0042)	Prec@1 3.906 (4.682)	Prec@5 12.500 (16.133)
Epoch: [29][3290/7045]	Time 0.442 (0.250)	Data 0.391 (0.186)	Loss 5.0014 (5.0042)	Prec@1 4.297 (4.680)	Prec@5 14.844 (16.131)
Epoch: [29][3300/7045]	Time 0.341 (0.250)	Data 0.290 (0.186)	Loss 5.1211 (5.0044)	Prec@1 3.906 (4.681)	Prec@5 16.406 (16.130)
Epoch: [29][3310/7045]	Time 0.116 (0.250)	Data 0.065 (0.186)	Loss 4.9609 (5.0045)	Prec@1 5.859 (4.679)	Prec@5 17.188 (16.130)
Epoch: [29][3320/7045]	Time 0.352 (0.250)	Data 0.302 (0.186)	Loss 4.9796 (5.0046)	Prec@1 4.297 (4.678)	Prec@5 19.141 (16.129)
Epoch: [29][3330/7045]	Time 0.203 (0.250)	Data 0.152 (0.186)	Loss 5.1609 (5.0047)	Prec@1 5.469 (4.677)	Prec@5 16.016 (16.127)
Epoch: [29][3340/7045]	Time 0.298 (0.250)	Data 0.247 (0.186)	Loss 5.0853 (5.0050)	Prec@1 4.297 (4.676)	Prec@5 17.578 (16.125)
Epoch: [29][3350/7045]	Time 0.588 (0.250)	Data 0.537 (0.186)	Loss 5.0841 (5.0051)	Prec@1 1.953 (4.675)	Prec@5 13.281 (16.124)
Epoch: [29][3360/7045]	Time 0.109 (0.250)	Data 0.009 (0.186)	Loss 5.1270 (5.0052)	Prec@1 5.469 (4.674)	Prec@5 13.672 (16.121)
Epoch: [29][3370/7045]	Time 0.585 (0.250)	Data 0.534 (0.186)	Loss 4.9640 (5.0052)	Prec@1 5.859 (4.674)	Prec@5 15.625 (16.120)
Epoch: [29][3380/7045]	Time 0.107 (0.250)	Data 0.016 (0.186)	Loss 5.0163 (5.0052)	Prec@1 5.859 (4.673)	Prec@5 17.969 (16.120)
Epoch: [29][3390/7045]	Time 0.444 (0.250)	Data 0.392 (0.186)	Loss 5.0204 (5.0051)	Prec@1 3.125 (4.673)	Prec@5 12.891 (16.120)
Epoch: [29][3400/7045]	Time 0.207 (0.250)	Data 0.156 (0.186)	Loss 4.9730 (5.0052)	Prec@1 4.688 (4.673)	Prec@5 14.062 (16.113)
Epoch: [29][3410/7045]	Time 0.344 (0.250)	Data 0.293 (0.186)	Loss 4.9305 (5.0052)	Prec@1 3.906 (4.674)	Prec@5 17.578 (16.115)
Epoch: [29][3420/7045]	Time 0.114 (0.250)	Data 0.054 (0.186)	Loss 5.1809 (5.0056)	Prec@1 3.516 (4.672)	Prec@5 14.453 (16.108)
Epoch: [29][3430/7045]	Time 0.345 (0.250)	Data 0.294 (0.186)	Loss 4.9586 (5.0057)	Prec@1 5.859 (4.671)	Prec@5 16.797 (16.105)
Epoch: [29][3440/7045]	Time 0.120 (0.250)	Data 0.069 (0.186)	Loss 5.0179 (5.0056)	Prec@1 3.125 (4.670)	Prec@5 17.188 (16.106)
Epoch: [29][3450/7045]	Time 0.426 (0.250)	Data 0.371 (0.186)	Loss 5.1180 (5.0055)	Prec@1 2.344 (4.669)	Prec@5 13.281 (16.107)
Epoch: [29][3460/7045]	Time 0.107 (0.250)	Data 0.056 (0.186)	Loss 4.9332 (5.0054)	Prec@1 3.125 (4.669)	Prec@5 14.844 (16.105)
Epoch: [29][3470/7045]	Time 0.223 (0.250)	Data 0.173 (0.186)	Loss 4.9517 (5.0056)	Prec@1 3.906 (4.669)	Prec@5 18.359 (16.105)
Epoch: [29][3480/7045]	Time 0.312 (0.250)	Data 0.253 (0.186)	Loss 5.1603 (5.0057)	Prec@1 5.859 (4.671)	Prec@5 14.453 (16.107)
Epoch: [29][3490/7045]	Time 0.101 (0.250)	Data 0.015 (0.186)	Loss 5.0618 (5.0059)	Prec@1 3.516 (4.669)	Prec@5 17.969 (16.104)
Epoch: [29][3500/7045]	Time 0.191 (0.250)	Data 0.139 (0.186)	Loss 5.0073 (5.0060)	Prec@1 5.469 (4.669)	Prec@5 17.578 (16.103)
Epoch: [29][3510/7045]	Time 0.109 (0.250)	Data 0.058 (0.186)	Loss 4.9279 (5.0059)	Prec@1 3.906 (4.669)	Prec@5 15.234 (16.103)
Epoch: [29][3520/7045]	Time 0.145 (0.250)	Data 0.094 (0.186)	Loss 5.0594 (5.0059)	Prec@1 3.516 (4.670)	Prec@5 13.281 (16.102)
Epoch: [29][3530/7045]	Time 0.114 (0.250)	Data 0.063 (0.186)	Loss 5.1081 (5.0059)	Prec@1 3.516 (4.669)	Prec@5 13.672 (16.104)
Epoch: [29][3540/7045]	Time 0.398 (0.250)	Data 0.345 (0.186)	Loss 4.9259 (5.0060)	Prec@1 3.906 (4.667)	Prec@5 16.016 (16.100)
Epoch: [29][3550/7045]	Time 0.102 (0.250)	Data 0.001 (0.186)	Loss 5.0075 (5.0058)	Prec@1 5.859 (4.669)	Prec@5 15.234 (16.102)
Epoch: [29][3560/7045]	Time 0.521 (0.250)	Data 0.464 (0.186)	Loss 5.1244 (5.0059)	Prec@1 3.125 (4.667)	Prec@5 16.016 (16.101)
Epoch: [29][3570/7045]	Time 0.101 (0.250)	Data 0.023 (0.186)	Loss 5.0929 (5.0061)	Prec@1 3.125 (4.665)	Prec@5 13.672 (16.096)
Epoch: [29][3580/7045]	Time 0.646 (0.250)	Data 0.595 (0.186)	Loss 5.0248 (5.0060)	Prec@1 4.297 (4.666)	Prec@5 15.234 (16.100)
Epoch: [29][3590/7045]	Time 0.093 (0.250)	Data 0.001 (0.186)	Loss 4.9799 (5.0059)	Prec@1 5.469 (4.667)	Prec@5 17.188 (16.102)
Epoch: [29][3600/7045]	Time 0.693 (0.250)	Data 0.641 (0.186)	Loss 5.0347 (5.0059)	Prec@1 4.297 (4.669)	Prec@5 13.672 (16.104)
Epoch: [29][3610/7045]	Time 0.104 (0.250)	Data 0.053 (0.185)	Loss 4.9301 (5.0059)	Prec@1 6.250 (4.670)	Prec@5 15.625 (16.103)
Epoch: [29][3620/7045]	Time 0.673 (0.250)	Data 0.616 (0.186)	Loss 5.1295 (5.0058)	Prec@1 5.078 (4.670)	Prec@5 13.672 (16.105)
Epoch: [29][3630/7045]	Time 0.104 (0.250)	Data 0.047 (0.185)	Loss 4.9887 (5.0058)	Prec@1 6.250 (4.670)	Prec@5 16.016 (16.106)
Epoch: [29][3640/7045]	Time 0.287 (0.250)	Data 0.235 (0.185)	Loss 4.9352 (5.0058)	Prec@1 5.469 (4.670)	Prec@5 15.625 (16.106)
Epoch: [29][3650/7045]	Time 0.101 (0.250)	Data 0.008 (0.185)	Loss 5.0161 (5.0057)	Prec@1 5.078 (4.669)	Prec@5 16.406 (16.107)
Epoch: [29][3660/7045]	Time 0.393 (0.250)	Data 0.343 (0.186)	Loss 4.9276 (5.0058)	Prec@1 4.688 (4.667)	Prec@5 19.141 (16.104)
Epoch: [29][3670/7045]	Time 0.122 (0.250)	Data 0.062 (0.186)	Loss 5.2493 (5.0059)	Prec@1 3.516 (4.666)	Prec@5 15.234 (16.103)
Epoch: [29][3680/7045]	Time 0.542 (0.250)	Data 0.491 (0.186)	Loss 4.9048 (5.0060)	Prec@1 5.469 (4.666)	Prec@5 16.797 (16.101)
Epoch: [29][3690/7045]	Time 0.146 (0.250)	Data 0.095 (0.185)	Loss 4.9204 (5.0060)	Prec@1 4.688 (4.667)	Prec@5 18.359 (16.102)
Epoch: [29][3700/7045]	Time 0.388 (0.250)	Data 0.338 (0.185)	Loss 5.0788 (5.0062)	Prec@1 3.516 (4.665)	Prec@5 12.500 (16.100)
Epoch: [29][3710/7045]	Time 0.206 (0.250)	Data 0.154 (0.185)	Loss 5.0733 (5.0063)	Prec@1 6.250 (4.664)	Prec@5 16.016 (16.098)
Epoch: [29][3720/7045]	Time 0.231 (0.250)	Data 0.181 (0.185)	Loss 4.9782 (5.0063)	Prec@1 5.859 (4.664)	Prec@5 18.359 (16.096)
Epoch: [29][3730/7045]	Time 0.190 (0.250)	Data 0.140 (0.185)	Loss 4.9815 (5.0063)	Prec@1 6.250 (4.663)	Prec@5 16.016 (16.094)
Epoch: [29][3740/7045]	Time 0.101 (0.249)	Data 0.050 (0.185)	Loss 4.9702 (5.0062)	Prec@1 4.297 (4.663)	Prec@5 18.359 (16.095)
Epoch: [29][3750/7045]	Time 0.143 (0.249)	Data 0.091 (0.185)	Loss 4.9850 (5.0063)	Prec@1 4.297 (4.663)	Prec@5 16.016 (16.095)
Epoch: [29][3760/7045]	Time 0.285 (0.250)	Data 0.225 (0.185)	Loss 5.0574 (5.0064)	Prec@1 3.516 (4.662)	Prec@5 12.109 (16.091)
Epoch: [29][3770/7045]	Time 0.102 (0.249)	Data 0.020 (0.185)	Loss 4.9663 (5.0063)	Prec@1 5.859 (4.663)	Prec@5 18.750 (16.094)
Epoch: [29][3780/7045]	Time 0.165 (0.249)	Data 0.114 (0.185)	Loss 5.1812 (5.0064)	Prec@1 2.734 (4.663)	Prec@5 9.375 (16.093)
Epoch: [29][3790/7045]	Time 0.151 (0.249)	Data 0.099 (0.185)	Loss 4.9283 (5.0065)	Prec@1 3.906 (4.661)	Prec@5 17.188 (16.091)
Epoch: [29][3800/7045]	Time 0.110 (0.249)	Data 0.017 (0.185)	Loss 4.9787 (5.0066)	Prec@1 3.906 (4.661)	Prec@5 15.625 (16.088)
Epoch: [29][3810/7045]	Time 0.349 (0.249)	Data 0.298 (0.185)	Loss 5.0896 (5.0067)	Prec@1 2.734 (4.661)	Prec@5 12.891 (16.088)
Epoch: [29][3820/7045]	Time 0.105 (0.249)	Data 0.053 (0.185)	Loss 4.7992 (5.0067)	Prec@1 4.688 (4.659)	Prec@5 19.922 (16.086)
Epoch: [29][3830/7045]	Time 0.695 (0.249)	Data 0.644 (0.185)	Loss 4.9163 (5.0068)	Prec@1 4.297 (4.657)	Prec@5 20.703 (16.086)
Epoch: [29][3840/7045]	Time 0.096 (0.249)	Data 0.001 (0.185)	Loss 5.0120 (5.0070)	Prec@1 5.859 (4.656)	Prec@5 15.234 (16.084)
Epoch: [29][3850/7045]	Time 0.704 (0.249)	Data 0.654 (0.185)	Loss 5.2303 (5.0071)	Prec@1 2.734 (4.654)	Prec@5 12.891 (16.081)
Epoch: [29][3860/7045]	Time 0.102 (0.249)	Data 0.017 (0.185)	Loss 5.0874 (5.0072)	Prec@1 6.641 (4.655)	Prec@5 14.844 (16.079)
Epoch: [29][3870/7045]	Time 0.479 (0.249)	Data 0.427 (0.185)	Loss 4.9979 (5.0073)	Prec@1 2.344 (4.653)	Prec@5 14.844 (16.074)
Epoch: [29][3880/7045]	Time 0.159 (0.249)	Data 0.107 (0.185)	Loss 5.0893 (5.0074)	Prec@1 2.344 (4.653)	Prec@5 12.891 (16.069)
Epoch: [29][3890/7045]	Time 0.181 (0.249)	Data 0.130 (0.185)	Loss 5.0438 (5.0078)	Prec@1 4.688 (4.651)	Prec@5 15.625 (16.061)
Epoch: [29][3900/7045]	Time 0.162 (0.249)	Data 0.109 (0.185)	Loss 5.1109 (5.0080)	Prec@1 4.297 (4.651)	Prec@5 14.453 (16.059)
Epoch: [29][3910/7045]	Time 0.182 (0.249)	Data 0.131 (0.185)	Loss 5.0131 (5.0082)	Prec@1 5.078 (4.651)	Prec@5 16.016 (16.057)
Epoch: [29][3920/7045]	Time 0.210 (0.249)	Data 0.160 (0.185)	Loss 4.9963 (5.0082)	Prec@1 5.078 (4.652)	Prec@5 15.625 (16.059)
Epoch: [29][3930/7045]	Time 0.116 (0.249)	Data 0.051 (0.185)	Loss 4.9640 (5.0082)	Prec@1 4.688 (4.651)	Prec@5 15.234 (16.057)
Epoch: [29][3940/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 5.0472 (5.0082)	Prec@1 5.469 (4.650)	Prec@5 15.234 (16.060)
Epoch: [29][3950/7045]	Time 0.110 (0.249)	Data 0.018 (0.185)	Loss 4.9549 (5.0083)	Prec@1 4.688 (4.650)	Prec@5 16.016 (16.057)
Epoch: [29][3960/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 4.9674 (5.0084)	Prec@1 4.297 (4.651)	Prec@5 13.281 (16.055)
Epoch: [29][3970/7045]	Time 0.106 (0.249)	Data 0.053 (0.185)	Loss 5.0428 (5.0083)	Prec@1 3.125 (4.651)	Prec@5 19.922 (16.058)
Epoch: [29][3980/7045]	Time 0.107 (0.249)	Data 0.001 (0.185)	Loss 4.9815 (5.0083)	Prec@1 5.859 (4.652)	Prec@5 17.578 (16.059)
Epoch: [29][3990/7045]	Time 0.186 (0.249)	Data 0.135 (0.185)	Loss 5.0187 (5.0085)	Prec@1 5.469 (4.650)	Prec@5 17.969 (16.056)
Epoch: [29][4000/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 5.0617 (5.0086)	Prec@1 5.469 (4.650)	Prec@5 16.797 (16.054)
Epoch: [29][4010/7045]	Time 0.100 (0.249)	Data 0.015 (0.185)	Loss 5.1244 (5.0088)	Prec@1 3.125 (4.649)	Prec@5 15.234 (16.052)
Epoch: [29][4020/7045]	Time 0.099 (0.249)	Data 0.046 (0.185)	Loss 5.0187 (5.0087)	Prec@1 5.859 (4.650)	Prec@5 16.797 (16.053)
Epoch: [29][4030/7045]	Time 0.198 (0.249)	Data 0.146 (0.185)	Loss 5.0030 (5.0089)	Prec@1 2.734 (4.648)	Prec@5 16.016 (16.050)
Epoch: [29][4040/7045]	Time 0.216 (0.249)	Data 0.165 (0.185)	Loss 4.9694 (5.0089)	Prec@1 6.250 (4.649)	Prec@5 16.797 (16.050)
Epoch: [29][4050/7045]	Time 0.143 (0.249)	Data 0.084 (0.185)	Loss 4.8264 (5.0089)	Prec@1 6.250 (4.650)	Prec@5 23.047 (16.052)
Epoch: [29][4060/7045]	Time 0.496 (0.249)	Data 0.444 (0.185)	Loss 4.8750 (5.0088)	Prec@1 6.250 (4.649)	Prec@5 15.625 (16.051)
Epoch: [29][4070/7045]	Time 0.260 (0.249)	Data 0.210 (0.185)	Loss 4.9220 (5.0089)	Prec@1 3.125 (4.650)	Prec@5 16.797 (16.052)
Epoch: [29][4080/7045]	Time 0.544 (0.249)	Data 0.494 (0.185)	Loss 5.2032 (5.0091)	Prec@1 3.125 (4.648)	Prec@5 11.719 (16.049)
Epoch: [29][4090/7045]	Time 0.101 (0.249)	Data 0.010 (0.185)	Loss 5.0174 (5.0093)	Prec@1 6.250 (4.646)	Prec@5 17.188 (16.045)
Epoch: [29][4100/7045]	Time 0.224 (0.249)	Data 0.173 (0.185)	Loss 4.9782 (5.0093)	Prec@1 5.078 (4.648)	Prec@5 18.750 (16.049)
Epoch: [29][4110/7045]	Time 0.148 (0.249)	Data 0.087 (0.185)	Loss 5.0352 (5.0092)	Prec@1 3.516 (4.648)	Prec@5 13.672 (16.050)
Epoch: [29][4120/7045]	Time 0.124 (0.249)	Data 0.071 (0.185)	Loss 4.9628 (5.0093)	Prec@1 6.250 (4.648)	Prec@5 17.188 (16.049)
Epoch: [29][4130/7045]	Time 0.101 (0.249)	Data 0.042 (0.185)	Loss 4.9029 (5.0093)	Prec@1 6.250 (4.649)	Prec@5 18.750 (16.049)
Epoch: [29][4140/7045]	Time 0.148 (0.249)	Data 0.095 (0.185)	Loss 5.0965 (5.0091)	Prec@1 2.734 (4.652)	Prec@5 15.234 (16.053)
Epoch: [29][4150/7045]	Time 0.100 (0.249)	Data 0.046 (0.185)	Loss 5.0426 (5.0090)	Prec@1 3.516 (4.652)	Prec@5 14.062 (16.055)
Epoch: [29][4160/7045]	Time 0.102 (0.249)	Data 0.050 (0.185)	Loss 5.0189 (5.0091)	Prec@1 3.125 (4.651)	Prec@5 14.844 (16.054)
Epoch: [29][4170/7045]	Time 0.197 (0.249)	Data 0.140 (0.185)	Loss 4.9469 (5.0090)	Prec@1 4.688 (4.652)	Prec@5 18.750 (16.058)
Epoch: [29][4180/7045]	Time 0.101 (0.249)	Data 0.011 (0.185)	Loss 5.0552 (5.0090)	Prec@1 4.297 (4.652)	Prec@5 15.625 (16.062)
Epoch: [29][4190/7045]	Time 0.111 (0.249)	Data 0.001 (0.185)	Loss 5.0014 (5.0091)	Prec@1 4.688 (4.653)	Prec@5 16.016 (16.060)
Epoch: [29][4200/7045]	Time 0.219 (0.249)	Data 0.169 (0.185)	Loss 5.0322 (5.0091)	Prec@1 3.906 (4.653)	Prec@5 12.891 (16.060)
Epoch: [29][4210/7045]	Time 0.107 (0.249)	Data 0.054 (0.185)	Loss 5.0040 (5.0092)	Prec@1 5.078 (4.653)	Prec@5 16.016 (16.058)
Epoch: [29][4220/7045]	Time 0.548 (0.249)	Data 0.498 (0.185)	Loss 5.0960 (5.0091)	Prec@1 3.906 (4.654)	Prec@5 10.938 (16.058)
Epoch: [29][4230/7045]	Time 0.134 (0.249)	Data 0.084 (0.185)	Loss 5.0504 (5.0092)	Prec@1 3.906 (4.654)	Prec@5 14.062 (16.056)
Epoch: [29][4240/7045]	Time 0.627 (0.249)	Data 0.576 (0.185)	Loss 4.8998 (5.0092)	Prec@1 4.688 (4.653)	Prec@5 18.750 (16.056)
Epoch: [29][4250/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 4.9267 (5.0093)	Prec@1 3.125 (4.652)	Prec@5 17.969 (16.053)
Epoch: [29][4260/7045]	Time 0.489 (0.249)	Data 0.430 (0.185)	Loss 4.9152 (5.0092)	Prec@1 5.859 (4.653)	Prec@5 14.844 (16.054)
Epoch: [29][4270/7045]	Time 0.124 (0.249)	Data 0.072 (0.185)	Loss 4.7241 (5.0091)	Prec@1 3.516 (4.653)	Prec@5 18.359 (16.055)
Epoch: [29][4280/7045]	Time 0.106 (0.249)	Data 0.054 (0.185)	Loss 5.0154 (5.0091)	Prec@1 4.297 (4.655)	Prec@5 15.234 (16.058)
Epoch: [29][4290/7045]	Time 0.224 (0.249)	Data 0.174 (0.185)	Loss 5.0767 (5.0092)	Prec@1 3.906 (4.654)	Prec@5 19.531 (16.057)
Epoch: [29][4300/7045]	Time 0.184 (0.249)	Data 0.134 (0.185)	Loss 5.0475 (5.0092)	Prec@1 4.297 (4.652)	Prec@5 17.578 (16.057)
Epoch: [29][4310/7045]	Time 0.142 (0.249)	Data 0.091 (0.185)	Loss 5.0135 (5.0092)	Prec@1 5.078 (4.652)	Prec@5 14.844 (16.057)
Epoch: [29][4320/7045]	Time 0.178 (0.249)	Data 0.127 (0.185)	Loss 4.9536 (5.0093)	Prec@1 5.469 (4.651)	Prec@5 15.625 (16.055)
Epoch: [29][4330/7045]	Time 0.197 (0.249)	Data 0.145 (0.185)	Loss 5.1579 (5.0094)	Prec@1 4.297 (4.650)	Prec@5 12.891 (16.054)
Epoch: [29][4340/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 5.0477 (5.0095)	Prec@1 3.125 (4.649)	Prec@5 17.578 (16.052)
Epoch: [29][4350/7045]	Time 0.100 (0.249)	Data 0.001 (0.185)	Loss 4.9308 (5.0095)	Prec@1 5.859 (4.648)	Prec@5 21.094 (16.051)
Epoch: [29][4360/7045]	Time 0.119 (0.249)	Data 0.069 (0.185)	Loss 4.8805 (5.0094)	Prec@1 5.078 (4.647)	Prec@5 21.484 (16.051)
Epoch: [29][4370/7045]	Time 0.110 (0.249)	Data 0.015 (0.185)	Loss 5.0976 (5.0095)	Prec@1 3.125 (4.646)	Prec@5 14.453 (16.051)
Epoch: [29][4380/7045]	Time 0.105 (0.249)	Data 0.052 (0.185)	Loss 5.0890 (5.0095)	Prec@1 4.688 (4.648)	Prec@5 12.891 (16.050)
Epoch: [29][4390/7045]	Time 0.102 (0.249)	Data 0.016 (0.185)	Loss 5.1179 (5.0095)	Prec@1 3.906 (4.648)	Prec@5 14.844 (16.049)
Epoch: [29][4400/7045]	Time 0.110 (0.249)	Data 0.058 (0.185)	Loss 4.9636 (5.0096)	Prec@1 2.734 (4.647)	Prec@5 16.406 (16.051)
Epoch: [29][4410/7045]	Time 0.117 (0.249)	Data 0.065 (0.185)	Loss 4.9267 (5.0094)	Prec@1 5.078 (4.649)	Prec@5 17.188 (16.053)
Epoch: [29][4420/7045]	Time 0.166 (0.249)	Data 0.113 (0.185)	Loss 4.9494 (5.0095)	Prec@1 2.734 (4.648)	Prec@5 16.406 (16.051)
Epoch: [29][4430/7045]	Time 0.102 (0.249)	Data 0.011 (0.185)	Loss 5.0187 (5.0096)	Prec@1 3.906 (4.647)	Prec@5 16.016 (16.049)
Epoch: [29][4440/7045]	Time 0.481 (0.249)	Data 0.429 (0.185)	Loss 5.0194 (5.0097)	Prec@1 5.469 (4.647)	Prec@5 17.188 (16.047)
Epoch: [29][4450/7045]	Time 0.102 (0.249)	Data 0.005 (0.185)	Loss 4.9240 (5.0096)	Prec@1 7.031 (4.647)	Prec@5 19.531 (16.047)
Epoch: [29][4460/7045]	Time 0.703 (0.249)	Data 0.651 (0.185)	Loss 5.0154 (5.0096)	Prec@1 7.031 (4.648)	Prec@5 17.578 (16.049)
Epoch: [29][4470/7045]	Time 0.110 (0.249)	Data 0.001 (0.185)	Loss 5.0162 (5.0094)	Prec@1 5.469 (4.649)	Prec@5 17.188 (16.050)
Epoch: [29][4480/7045]	Time 0.650 (0.249)	Data 0.598 (0.185)	Loss 4.9955 (5.0095)	Prec@1 3.906 (4.649)	Prec@5 14.844 (16.048)
Epoch: [29][4490/7045]	Time 0.100 (0.249)	Data 0.001 (0.185)	Loss 4.9831 (5.0097)	Prec@1 4.688 (4.648)	Prec@5 18.750 (16.047)
Epoch: [29][4500/7045]	Time 0.624 (0.249)	Data 0.564 (0.185)	Loss 5.2669 (5.0098)	Prec@1 4.297 (4.648)	Prec@5 12.500 (16.045)
Epoch: [29][4510/7045]	Time 0.102 (0.249)	Data 0.022 (0.185)	Loss 5.0732 (5.0100)	Prec@1 3.125 (4.646)	Prec@5 17.188 (16.044)
Epoch: [29][4520/7045]	Time 0.573 (0.249)	Data 0.515 (0.185)	Loss 5.0934 (5.0101)	Prec@1 3.516 (4.645)	Prec@5 16.406 (16.041)
Epoch: [29][4530/7045]	Time 0.108 (0.249)	Data 0.010 (0.185)	Loss 4.9250 (5.0100)	Prec@1 5.078 (4.646)	Prec@5 19.922 (16.041)
Epoch: [29][4540/7045]	Time 0.512 (0.249)	Data 0.461 (0.185)	Loss 5.0196 (5.0100)	Prec@1 3.906 (4.647)	Prec@5 12.891 (16.040)
Epoch: [29][4550/7045]	Time 0.108 (0.249)	Data 0.018 (0.185)	Loss 5.0578 (5.0099)	Prec@1 5.078 (4.647)	Prec@5 16.797 (16.041)
Epoch: [29][4560/7045]	Time 0.565 (0.249)	Data 0.506 (0.185)	Loss 5.0927 (5.0097)	Prec@1 3.516 (4.649)	Prec@5 16.016 (16.044)
Epoch: [29][4570/7045]	Time 0.268 (0.249)	Data 0.217 (0.185)	Loss 5.0150 (5.0097)	Prec@1 4.688 (4.649)	Prec@5 15.234 (16.042)
Epoch: [29][4580/7045]	Time 0.561 (0.249)	Data 0.509 (0.185)	Loss 5.1721 (5.0098)	Prec@1 3.906 (4.649)	Prec@5 12.891 (16.041)
Epoch: [29][4590/7045]	Time 0.375 (0.249)	Data 0.322 (0.185)	Loss 4.9462 (5.0097)	Prec@1 5.859 (4.651)	Prec@5 17.969 (16.044)
Epoch: [29][4600/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.9029 (5.0097)	Prec@1 2.734 (4.651)	Prec@5 16.797 (16.044)
Epoch: [29][4610/7045]	Time 0.526 (0.249)	Data 0.475 (0.185)	Loss 4.9180 (5.0096)	Prec@1 4.688 (4.652)	Prec@5 15.234 (16.046)
Epoch: [29][4620/7045]	Time 0.374 (0.249)	Data 0.323 (0.185)	Loss 5.0358 (5.0095)	Prec@1 3.516 (4.652)	Prec@5 18.359 (16.051)
Epoch: [29][4630/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 5.0222 (5.0095)	Prec@1 2.734 (4.654)	Prec@5 14.062 (16.051)
Epoch: [29][4640/7045]	Time 0.550 (0.249)	Data 0.499 (0.185)	Loss 4.9272 (5.0095)	Prec@1 5.859 (4.653)	Prec@5 15.234 (16.050)
Epoch: [29][4650/7045]	Time 0.172 (0.249)	Data 0.121 (0.185)	Loss 4.9309 (5.0094)	Prec@1 3.125 (4.654)	Prec@5 16.016 (16.053)
Epoch: [29][4660/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 4.9644 (5.0094)	Prec@1 4.297 (4.653)	Prec@5 19.141 (16.053)
Epoch: [29][4670/7045]	Time 0.420 (0.249)	Data 0.368 (0.185)	Loss 4.9073 (5.0093)	Prec@1 5.469 (4.653)	Prec@5 18.750 (16.055)
Epoch: [29][4680/7045]	Time 0.102 (0.249)	Data 0.011 (0.185)	Loss 5.0837 (5.0095)	Prec@1 3.906 (4.652)	Prec@5 12.500 (16.053)
Epoch: [29][4690/7045]	Time 0.359 (0.249)	Data 0.308 (0.185)	Loss 5.0347 (5.0096)	Prec@1 4.297 (4.651)	Prec@5 16.016 (16.051)
Epoch: [29][4700/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.9702 (5.0097)	Prec@1 6.250 (4.651)	Prec@5 17.578 (16.050)
Epoch: [29][4710/7045]	Time 0.106 (0.249)	Data 0.054 (0.185)	Loss 5.1100 (5.0097)	Prec@1 3.906 (4.652)	Prec@5 11.328 (16.050)
Epoch: [29][4720/7045]	Time 0.101 (0.249)	Data 0.003 (0.185)	Loss 4.9592 (5.0097)	Prec@1 5.078 (4.651)	Prec@5 15.234 (16.048)
Epoch: [29][4730/7045]	Time 0.224 (0.249)	Data 0.165 (0.185)	Loss 4.9804 (5.0098)	Prec@1 3.906 (4.651)	Prec@5 16.016 (16.048)
Epoch: [29][4740/7045]	Time 0.224 (0.249)	Data 0.174 (0.185)	Loss 4.9997 (5.0098)	Prec@1 5.469 (4.651)	Prec@5 16.016 (16.045)
Epoch: [29][4750/7045]	Time 0.163 (0.249)	Data 0.112 (0.185)	Loss 5.1082 (5.0099)	Prec@1 3.516 (4.650)	Prec@5 13.281 (16.043)
Epoch: [29][4760/7045]	Time 0.213 (0.249)	Data 0.162 (0.185)	Loss 5.0767 (5.0100)	Prec@1 5.078 (4.648)	Prec@5 14.844 (16.041)
Epoch: [29][4770/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 5.1229 (5.0100)	Prec@1 3.906 (4.649)	Prec@5 16.016 (16.040)
Epoch: [29][4780/7045]	Time 0.112 (0.249)	Data 0.031 (0.185)	Loss 4.9810 (5.0101)	Prec@1 3.125 (4.648)	Prec@5 16.406 (16.037)
Epoch: [29][4790/7045]	Time 0.107 (0.249)	Data 0.055 (0.185)	Loss 4.9989 (5.0100)	Prec@1 5.859 (4.650)	Prec@5 18.750 (16.042)
Epoch: [29][4800/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.9900 (5.0100)	Prec@1 7.422 (4.651)	Prec@5 16.406 (16.042)
Epoch: [29][4810/7045]	Time 0.497 (0.249)	Data 0.445 (0.185)	Loss 4.8835 (5.0099)	Prec@1 5.469 (4.650)	Prec@5 16.797 (16.043)
Epoch: [29][4820/7045]	Time 0.161 (0.249)	Data 0.103 (0.185)	Loss 5.0183 (5.0099)	Prec@1 2.344 (4.650)	Prec@5 12.109 (16.041)
Epoch: [29][4830/7045]	Time 0.370 (0.249)	Data 0.318 (0.185)	Loss 5.1389 (5.0099)	Prec@1 4.688 (4.650)	Prec@5 16.406 (16.039)
Epoch: [29][4840/7045]	Time 0.110 (0.249)	Data 0.001 (0.185)	Loss 5.0309 (5.0098)	Prec@1 2.344 (4.651)	Prec@5 16.016 (16.040)
Epoch: [29][4850/7045]	Time 0.127 (0.249)	Data 0.076 (0.185)	Loss 4.8260 (5.0098)	Prec@1 7.422 (4.653)	Prec@5 21.875 (16.041)
Epoch: [29][4860/7045]	Time 0.388 (0.249)	Data 0.326 (0.185)	Loss 4.9056 (5.0098)	Prec@1 5.078 (4.652)	Prec@5 18.359 (16.042)
Epoch: [29][4870/7045]	Time 0.103 (0.249)	Data 0.001 (0.185)	Loss 5.0327 (5.0098)	Prec@1 4.297 (4.651)	Prec@5 18.359 (16.041)
Epoch: [29][4880/7045]	Time 0.374 (0.249)	Data 0.323 (0.185)	Loss 5.0175 (5.0098)	Prec@1 2.344 (4.649)	Prec@5 14.062 (16.042)
Epoch: [29][4890/7045]	Time 0.181 (0.249)	Data 0.125 (0.185)	Loss 5.0262 (5.0099)	Prec@1 5.078 (4.649)	Prec@5 16.016 (16.042)
Epoch: [29][4900/7045]	Time 0.431 (0.249)	Data 0.380 (0.185)	Loss 5.1381 (5.0099)	Prec@1 2.734 (4.648)	Prec@5 14.844 (16.043)
Epoch: [29][4910/7045]	Time 0.102 (0.249)	Data 0.049 (0.185)	Loss 4.9940 (5.0099)	Prec@1 6.250 (4.650)	Prec@5 19.141 (16.045)
Epoch: [29][4920/7045]	Time 0.326 (0.249)	Data 0.265 (0.185)	Loss 4.9147 (5.0099)	Prec@1 4.297 (4.649)	Prec@5 16.797 (16.045)
Epoch: [29][4930/7045]	Time 0.370 (0.249)	Data 0.319 (0.185)	Loss 4.8551 (5.0098)	Prec@1 8.203 (4.651)	Prec@5 23.047 (16.048)
Epoch: [29][4940/7045]	Time 0.264 (0.249)	Data 0.210 (0.185)	Loss 5.0114 (5.0098)	Prec@1 4.297 (4.650)	Prec@5 17.188 (16.047)
Epoch: [29][4950/7045]	Time 0.374 (0.249)	Data 0.322 (0.185)	Loss 4.9929 (5.0098)	Prec@1 5.078 (4.650)	Prec@5 16.797 (16.049)
Epoch: [29][4960/7045]	Time 0.108 (0.249)	Data 0.004 (0.185)	Loss 4.9294 (5.0098)	Prec@1 5.859 (4.651)	Prec@5 16.797 (16.048)
Epoch: [29][4970/7045]	Time 0.486 (0.249)	Data 0.435 (0.185)	Loss 4.9413 (5.0098)	Prec@1 6.250 (4.653)	Prec@5 22.266 (16.051)
Epoch: [29][4980/7045]	Time 0.140 (0.249)	Data 0.088 (0.185)	Loss 5.0837 (5.0098)	Prec@1 4.688 (4.653)	Prec@5 15.234 (16.051)
Epoch: [29][4990/7045]	Time 0.391 (0.249)	Data 0.336 (0.185)	Loss 5.0119 (5.0097)	Prec@1 3.125 (4.654)	Prec@5 14.453 (16.052)
Epoch: [29][5000/7045]	Time 0.112 (0.249)	Data 0.061 (0.185)	Loss 4.9736 (5.0098)	Prec@1 5.078 (4.654)	Prec@5 15.234 (16.051)
Epoch: [29][5010/7045]	Time 0.127 (0.249)	Data 0.076 (0.185)	Loss 4.9328 (5.0097)	Prec@1 4.297 (4.655)	Prec@5 17.969 (16.053)
Epoch: [29][5020/7045]	Time 0.152 (0.249)	Data 0.101 (0.185)	Loss 5.0210 (5.0097)	Prec@1 5.078 (4.657)	Prec@5 14.844 (16.056)
Epoch: [29][5030/7045]	Time 0.215 (0.249)	Data 0.163 (0.185)	Loss 4.8804 (5.0096)	Prec@1 4.297 (4.655)	Prec@5 16.016 (16.056)
Epoch: [29][5040/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 5.0538 (5.0095)	Prec@1 3.906 (4.656)	Prec@5 12.891 (16.059)
Epoch: [29][5050/7045]	Time 0.109 (0.249)	Data 0.012 (0.185)	Loss 5.0220 (5.0094)	Prec@1 3.906 (4.657)	Prec@5 17.969 (16.060)
Epoch: [29][5060/7045]	Time 0.108 (0.249)	Data 0.056 (0.185)	Loss 5.1552 (5.0095)	Prec@1 4.297 (4.657)	Prec@5 14.844 (16.061)
Epoch: [29][5070/7045]	Time 0.102 (0.249)	Data 0.043 (0.185)	Loss 5.1124 (5.0094)	Prec@1 4.297 (4.658)	Prec@5 14.062 (16.060)
Epoch: [29][5080/7045]	Time 0.369 (0.249)	Data 0.318 (0.185)	Loss 5.2473 (5.0096)	Prec@1 3.125 (4.657)	Prec@5 14.453 (16.057)
Epoch: [29][5090/7045]	Time 0.212 (0.249)	Data 0.161 (0.185)	Loss 5.2762 (5.0099)	Prec@1 4.297 (4.655)	Prec@5 10.547 (16.053)
Epoch: [29][5100/7045]	Time 0.495 (0.249)	Data 0.442 (0.185)	Loss 4.9663 (5.0099)	Prec@1 5.469 (4.654)	Prec@5 16.016 (16.051)
Epoch: [29][5110/7045]	Time 0.147 (0.249)	Data 0.087 (0.185)	Loss 4.9867 (5.0099)	Prec@1 2.734 (4.654)	Prec@5 13.672 (16.051)
Epoch: [29][5120/7045]	Time 0.343 (0.249)	Data 0.291 (0.185)	Loss 5.1394 (5.0100)	Prec@1 3.125 (4.653)	Prec@5 11.719 (16.050)
Epoch: [29][5130/7045]	Time 0.193 (0.249)	Data 0.142 (0.185)	Loss 5.0048 (5.0100)	Prec@1 5.469 (4.655)	Prec@5 16.016 (16.051)
Epoch: [29][5140/7045]	Time 0.100 (0.249)	Data 0.049 (0.185)	Loss 5.1251 (5.0101)	Prec@1 3.125 (4.655)	Prec@5 15.234 (16.050)
Epoch: [29][5150/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 5.1711 (5.0101)	Prec@1 4.297 (4.654)	Prec@5 13.281 (16.051)
Epoch: [29][5160/7045]	Time 0.102 (0.249)	Data 0.003 (0.185)	Loss 5.0985 (5.0102)	Prec@1 4.297 (4.654)	Prec@5 16.016 (16.048)
Epoch: [29][5170/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 5.0772 (5.0102)	Prec@1 3.906 (4.654)	Prec@5 12.891 (16.046)
Epoch: [29][5180/7045]	Time 0.109 (0.249)	Data 0.001 (0.185)	Loss 4.9415 (5.0102)	Prec@1 6.250 (4.655)	Prec@5 15.234 (16.046)
Epoch: [29][5190/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 4.9387 (5.0100)	Prec@1 6.250 (4.657)	Prec@5 18.750 (16.050)
Epoch: [29][5200/7045]	Time 0.100 (0.249)	Data 0.001 (0.185)	Loss 4.9571 (5.0099)	Prec@1 3.906 (4.658)	Prec@5 17.578 (16.052)
Epoch: [29][5210/7045]	Time 0.285 (0.249)	Data 0.234 (0.185)	Loss 4.9661 (5.0099)	Prec@1 3.906 (4.659)	Prec@5 18.359 (16.052)
Epoch: [29][5220/7045]	Time 0.100 (0.249)	Data 0.014 (0.185)	Loss 5.1474 (5.0100)	Prec@1 3.516 (4.658)	Prec@5 12.891 (16.052)
Epoch: [29][5230/7045]	Time 0.317 (0.249)	Data 0.266 (0.185)	Loss 5.0264 (5.0101)	Prec@1 4.297 (4.657)	Prec@5 14.062 (16.051)
Epoch: [29][5240/7045]	Time 0.102 (0.249)	Data 0.021 (0.185)	Loss 4.8311 (5.0100)	Prec@1 7.812 (4.657)	Prec@5 21.484 (16.053)
Epoch: [29][5250/7045]	Time 0.638 (0.249)	Data 0.586 (0.185)	Loss 4.9644 (5.0100)	Prec@1 5.859 (4.657)	Prec@5 16.406 (16.054)
Epoch: [29][5260/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 4.9368 (5.0100)	Prec@1 8.203 (4.658)	Prec@5 18.359 (16.053)
Epoch: [29][5270/7045]	Time 0.585 (0.249)	Data 0.533 (0.185)	Loss 5.0254 (5.0100)	Prec@1 7.031 (4.659)	Prec@5 17.969 (16.054)
Epoch: [29][5280/7045]	Time 0.107 (0.249)	Data 0.056 (0.185)	Loss 5.0727 (5.0099)	Prec@1 5.469 (4.659)	Prec@5 16.016 (16.057)
Epoch: [29][5290/7045]	Time 0.301 (0.249)	Data 0.250 (0.185)	Loss 4.8700 (5.0099)	Prec@1 5.859 (4.660)	Prec@5 19.922 (16.061)
Epoch: [29][5300/7045]	Time 0.111 (0.249)	Data 0.001 (0.185)	Loss 4.9615 (5.0099)	Prec@1 3.516 (4.659)	Prec@5 14.453 (16.062)
Epoch: [29][5310/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.9069 (5.0098)	Prec@1 3.906 (4.659)	Prec@5 18.750 (16.062)
Epoch: [29][5320/7045]	Time 0.184 (0.249)	Data 0.123 (0.185)	Loss 4.9838 (5.0098)	Prec@1 2.734 (4.659)	Prec@5 12.109 (16.061)
Epoch: [29][5330/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 5.0085 (5.0098)	Prec@1 5.469 (4.659)	Prec@5 17.188 (16.063)
Epoch: [29][5340/7045]	Time 0.306 (0.249)	Data 0.245 (0.185)	Loss 5.0303 (5.0097)	Prec@1 6.250 (4.661)	Prec@5 17.188 (16.065)
Epoch: [29][5350/7045]	Time 0.267 (0.249)	Data 0.216 (0.185)	Loss 5.0848 (5.0097)	Prec@1 3.516 (4.659)	Prec@5 10.938 (16.064)
Epoch: [29][5360/7045]	Time 0.099 (0.249)	Data 0.014 (0.185)	Loss 5.0801 (5.0097)	Prec@1 3.516 (4.659)	Prec@5 15.625 (16.062)
Epoch: [29][5370/7045]	Time 0.397 (0.249)	Data 0.337 (0.185)	Loss 5.0620 (5.0098)	Prec@1 4.297 (4.659)	Prec@5 15.234 (16.060)
Epoch: [29][5380/7045]	Time 0.100 (0.249)	Data 0.001 (0.185)	Loss 5.0205 (5.0097)	Prec@1 6.641 (4.660)	Prec@5 16.406 (16.061)
Epoch: [29][5390/7045]	Time 0.548 (0.249)	Data 0.493 (0.185)	Loss 4.9478 (5.0097)	Prec@1 5.469 (4.661)	Prec@5 17.188 (16.063)
Epoch: [29][5400/7045]	Time 0.100 (0.249)	Data 0.001 (0.185)	Loss 4.9742 (5.0097)	Prec@1 6.641 (4.661)	Prec@5 20.703 (16.064)
Epoch: [29][5410/7045]	Time 0.719 (0.249)	Data 0.667 (0.185)	Loss 4.9836 (5.0098)	Prec@1 6.641 (4.660)	Prec@5 16.406 (16.061)
Epoch: [29][5420/7045]	Time 0.106 (0.249)	Data 0.054 (0.184)	Loss 4.8683 (5.0097)	Prec@1 6.641 (4.661)	Prec@5 19.531 (16.063)
Epoch: [29][5430/7045]	Time 0.640 (0.249)	Data 0.580 (0.184)	Loss 5.0785 (5.0097)	Prec@1 5.078 (4.659)	Prec@5 12.500 (16.062)
Epoch: [29][5440/7045]	Time 0.122 (0.249)	Data 0.062 (0.184)	Loss 5.0509 (5.0098)	Prec@1 2.734 (4.658)	Prec@5 17.578 (16.062)
Epoch: [29][5450/7045]	Time 0.634 (0.249)	Data 0.582 (0.184)	Loss 5.0040 (5.0098)	Prec@1 4.688 (4.657)	Prec@5 14.062 (16.060)
Epoch: [29][5460/7045]	Time 0.253 (0.249)	Data 0.201 (0.184)	Loss 5.0629 (5.0098)	Prec@1 4.688 (4.657)	Prec@5 15.625 (16.059)
Epoch: [29][5470/7045]	Time 0.302 (0.249)	Data 0.251 (0.184)	Loss 4.9301 (5.0097)	Prec@1 4.297 (4.657)	Prec@5 15.234 (16.060)
Epoch: [29][5480/7045]	Time 0.312 (0.249)	Data 0.259 (0.184)	Loss 5.0701 (5.0097)	Prec@1 3.125 (4.656)	Prec@5 14.453 (16.061)
Epoch: [29][5490/7045]	Time 0.109 (0.249)	Data 0.001 (0.184)	Loss 5.0019 (5.0097)	Prec@1 5.078 (4.657)	Prec@5 19.531 (16.062)
Epoch: [29][5500/7045]	Time 0.300 (0.249)	Data 0.249 (0.184)	Loss 5.0732 (5.0098)	Prec@1 4.688 (4.656)	Prec@5 15.234 (16.061)
Epoch: [29][5510/7045]	Time 0.313 (0.249)	Data 0.261 (0.184)	Loss 4.9798 (5.0098)	Prec@1 8.203 (4.656)	Prec@5 20.703 (16.060)
Epoch: [29][5520/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 5.0505 (5.0098)	Prec@1 3.125 (4.656)	Prec@5 17.578 (16.059)
Epoch: [29][5530/7045]	Time 0.108 (0.249)	Data 0.017 (0.184)	Loss 4.9379 (5.0098)	Prec@1 4.688 (4.655)	Prec@5 16.797 (16.061)
Epoch: [29][5540/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 4.8642 (5.0097)	Prec@1 7.422 (4.654)	Prec@5 20.312 (16.063)
Epoch: [29][5550/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 4.9511 (5.0096)	Prec@1 7.031 (4.655)	Prec@5 17.578 (16.064)
Epoch: [29][5560/7045]	Time 0.257 (0.249)	Data 0.205 (0.184)	Loss 5.1107 (5.0097)	Prec@1 3.516 (4.654)	Prec@5 16.016 (16.063)
Epoch: [29][5570/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 5.0700 (5.0098)	Prec@1 5.078 (4.654)	Prec@5 15.625 (16.061)
Epoch: [29][5580/7045]	Time 0.109 (0.249)	Data 0.010 (0.184)	Loss 4.9503 (5.0097)	Prec@1 5.469 (4.655)	Prec@5 15.625 (16.062)
Epoch: [29][5590/7045]	Time 0.520 (0.249)	Data 0.469 (0.184)	Loss 4.9054 (5.0097)	Prec@1 2.734 (4.654)	Prec@5 17.188 (16.061)
Epoch: [29][5600/7045]	Time 0.100 (0.249)	Data 0.001 (0.184)	Loss 4.8893 (5.0096)	Prec@1 3.516 (4.654)	Prec@5 17.969 (16.063)
Epoch: [29][5610/7045]	Time 0.534 (0.249)	Data 0.473 (0.184)	Loss 4.9471 (5.0096)	Prec@1 3.516 (4.654)	Prec@5 17.969 (16.064)
Epoch: [29][5620/7045]	Time 0.120 (0.249)	Data 0.069 (0.184)	Loss 4.7420 (5.0096)	Prec@1 5.469 (4.654)	Prec@5 22.656 (16.065)
Epoch: [29][5630/7045]	Time 0.382 (0.249)	Data 0.321 (0.184)	Loss 5.0892 (5.0095)	Prec@1 3.125 (4.655)	Prec@5 17.188 (16.066)
Epoch: [29][5640/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 5.1164 (5.0096)	Prec@1 3.125 (4.656)	Prec@5 14.453 (16.066)
Epoch: [29][5650/7045]	Time 0.101 (0.249)	Data 0.015 (0.184)	Loss 5.1486 (5.0097)	Prec@1 2.734 (4.655)	Prec@5 15.234 (16.065)
Epoch: [29][5660/7045]	Time 0.111 (0.249)	Data 0.060 (0.184)	Loss 4.9894 (5.0097)	Prec@1 5.078 (4.655)	Prec@5 19.141 (16.064)
Epoch: [29][5670/7045]	Time 0.400 (0.249)	Data 0.347 (0.184)	Loss 5.1160 (5.0097)	Prec@1 3.906 (4.655)	Prec@5 15.625 (16.065)
Epoch: [29][5680/7045]	Time 0.113 (0.249)	Data 0.061 (0.184)	Loss 5.1226 (5.0096)	Prec@1 3.516 (4.655)	Prec@5 12.891 (16.064)
Epoch: [29][5690/7045]	Time 0.586 (0.249)	Data 0.526 (0.184)	Loss 5.0017 (5.0096)	Prec@1 3.125 (4.656)	Prec@5 16.016 (16.065)
Epoch: [29][5700/7045]	Time 0.119 (0.249)	Data 0.058 (0.184)	Loss 4.7861 (5.0095)	Prec@1 5.469 (4.656)	Prec@5 19.141 (16.067)
Epoch: [29][5710/7045]	Time 0.507 (0.249)	Data 0.456 (0.184)	Loss 5.1070 (5.0097)	Prec@1 3.516 (4.654)	Prec@5 17.578 (16.064)
Epoch: [29][5720/7045]	Time 0.131 (0.249)	Data 0.079 (0.184)	Loss 5.0361 (5.0096)	Prec@1 5.469 (4.655)	Prec@5 16.406 (16.066)
Epoch: [29][5730/7045]	Time 0.565 (0.249)	Data 0.515 (0.184)	Loss 4.9670 (5.0096)	Prec@1 5.469 (4.655)	Prec@5 16.797 (16.066)
Epoch: [29][5740/7045]	Time 0.256 (0.249)	Data 0.205 (0.184)	Loss 4.9546 (5.0097)	Prec@1 4.688 (4.655)	Prec@5 17.969 (16.065)
Epoch: [29][5750/7045]	Time 0.121 (0.249)	Data 0.069 (0.184)	Loss 4.9414 (5.0096)	Prec@1 5.469 (4.657)	Prec@5 15.625 (16.066)
Epoch: [29][5760/7045]	Time 0.392 (0.249)	Data 0.341 (0.184)	Loss 5.1776 (5.0097)	Prec@1 2.344 (4.655)	Prec@5 15.234 (16.063)
Epoch: [29][5770/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 4.8256 (5.0097)	Prec@1 5.078 (4.655)	Prec@5 16.797 (16.064)
Epoch: [29][5780/7045]	Time 0.296 (0.249)	Data 0.245 (0.184)	Loss 4.9247 (5.0096)	Prec@1 4.688 (4.655)	Prec@5 17.188 (16.064)
Epoch: [29][5790/7045]	Time 0.109 (0.249)	Data 0.001 (0.184)	Loss 5.0687 (5.0097)	Prec@1 4.297 (4.654)	Prec@5 14.844 (16.065)
Epoch: [29][5800/7045]	Time 0.586 (0.249)	Data 0.527 (0.184)	Loss 4.8713 (5.0097)	Prec@1 4.297 (4.655)	Prec@5 14.844 (16.065)
Epoch: [29][5810/7045]	Time 0.119 (0.249)	Data 0.067 (0.184)	Loss 5.1352 (5.0098)	Prec@1 2.344 (4.654)	Prec@5 12.891 (16.064)
Epoch: [29][5820/7045]	Time 0.512 (0.249)	Data 0.453 (0.184)	Loss 5.0166 (5.0098)	Prec@1 4.297 (4.653)	Prec@5 17.578 (16.064)
Epoch: [29][5830/7045]	Time 0.248 (0.249)	Data 0.197 (0.184)	Loss 4.8849 (5.0098)	Prec@1 6.641 (4.653)	Prec@5 17.578 (16.064)
Epoch: [29][5840/7045]	Time 0.328 (0.249)	Data 0.278 (0.184)	Loss 5.0029 (5.0097)	Prec@1 4.688 (4.654)	Prec@5 14.062 (16.063)
Epoch: [29][5850/7045]	Time 0.546 (0.249)	Data 0.495 (0.184)	Loss 5.1436 (5.0098)	Prec@1 3.906 (4.653)	Prec@5 13.281 (16.062)
Epoch: [29][5860/7045]	Time 0.101 (0.249)	Data 0.010 (0.184)	Loss 5.0949 (5.0099)	Prec@1 4.688 (4.654)	Prec@5 13.672 (16.060)
Epoch: [29][5870/7045]	Time 0.616 (0.249)	Data 0.564 (0.184)	Loss 4.8967 (5.0098)	Prec@1 4.297 (4.653)	Prec@5 18.359 (16.059)
Epoch: [29][5880/7045]	Time 0.105 (0.249)	Data 0.054 (0.184)	Loss 5.0722 (5.0099)	Prec@1 2.344 (4.653)	Prec@5 15.625 (16.059)
Epoch: [29][5890/7045]	Time 0.500 (0.249)	Data 0.449 (0.184)	Loss 4.9945 (5.0099)	Prec@1 6.250 (4.653)	Prec@5 16.406 (16.057)
Epoch: [29][5900/7045]	Time 0.101 (0.249)	Data 0.030 (0.184)	Loss 5.0845 (5.0099)	Prec@1 4.297 (4.653)	Prec@5 12.891 (16.056)
Epoch: [29][5910/7045]	Time 0.341 (0.249)	Data 0.291 (0.184)	Loss 4.9645 (5.0099)	Prec@1 5.469 (4.653)	Prec@5 16.797 (16.056)
Epoch: [29][5920/7045]	Time 0.103 (0.249)	Data 0.001 (0.184)	Loss 5.0443 (5.0099)	Prec@1 4.688 (4.653)	Prec@5 17.188 (16.057)
Epoch: [29][5930/7045]	Time 0.288 (0.249)	Data 0.237 (0.184)	Loss 5.1320 (5.0099)	Prec@1 4.297 (4.654)	Prec@5 20.703 (16.058)
Epoch: [29][5940/7045]	Time 0.101 (0.249)	Data 0.014 (0.184)	Loss 5.0236 (5.0099)	Prec@1 4.688 (4.654)	Prec@5 14.062 (16.057)
Epoch: [29][5950/7045]	Time 0.306 (0.249)	Data 0.246 (0.184)	Loss 4.9899 (5.0100)	Prec@1 4.688 (4.653)	Prec@5 15.625 (16.056)
Epoch: [29][5960/7045]	Time 0.101 (0.249)	Data 0.019 (0.184)	Loss 4.9214 (5.0100)	Prec@1 7.031 (4.653)	Prec@5 17.578 (16.056)
Epoch: [29][5970/7045]	Time 0.353 (0.249)	Data 0.303 (0.184)	Loss 5.1505 (5.0100)	Prec@1 4.297 (4.652)	Prec@5 14.062 (16.054)
Epoch: [29][5980/7045]	Time 0.117 (0.249)	Data 0.067 (0.184)	Loss 4.9934 (5.0099)	Prec@1 4.297 (4.653)	Prec@5 15.234 (16.057)
Epoch: [29][5990/7045]	Time 0.555 (0.249)	Data 0.497 (0.184)	Loss 4.9715 (5.0099)	Prec@1 5.078 (4.653)	Prec@5 17.188 (16.058)
Epoch: [29][6000/7045]	Time 0.225 (0.249)	Data 0.173 (0.184)	Loss 5.2032 (5.0098)	Prec@1 4.297 (4.654)	Prec@5 15.234 (16.059)
Epoch: [29][6010/7045]	Time 0.120 (0.249)	Data 0.066 (0.184)	Loss 5.0565 (5.0098)	Prec@1 4.688 (4.653)	Prec@5 14.453 (16.059)
Epoch: [29][6020/7045]	Time 0.100 (0.249)	Data 0.013 (0.184)	Loss 4.9954 (5.0098)	Prec@1 1.953 (4.652)	Prec@5 12.109 (16.058)
Epoch: [29][6030/7045]	Time 0.109 (0.249)	Data 0.005 (0.184)	Loss 5.0805 (5.0099)	Prec@1 5.469 (4.652)	Prec@5 19.141 (16.058)
Epoch: [29][6040/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 5.0562 (5.0099)	Prec@1 2.734 (4.652)	Prec@5 13.281 (16.060)
Epoch: [29][6050/7045]	Time 0.325 (0.249)	Data 0.262 (0.184)	Loss 4.8993 (5.0099)	Prec@1 6.250 (4.652)	Prec@5 16.406 (16.059)
Epoch: [29][6060/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 4.9141 (5.0099)	Prec@1 5.078 (4.653)	Prec@5 17.969 (16.059)
Epoch: [29][6070/7045]	Time 0.494 (0.249)	Data 0.435 (0.184)	Loss 4.8809 (5.0098)	Prec@1 5.859 (4.653)	Prec@5 17.188 (16.060)
Epoch: [29][6080/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 5.0348 (5.0098)	Prec@1 3.516 (4.654)	Prec@5 14.844 (16.062)
Epoch: [29][6090/7045]	Time 0.372 (0.249)	Data 0.320 (0.184)	Loss 5.0871 (5.0098)	Prec@1 3.516 (4.653)	Prec@5 14.062 (16.061)
Epoch: [29][6100/7045]	Time 0.099 (0.249)	Data 0.001 (0.184)	Loss 5.1814 (5.0099)	Prec@1 2.734 (4.654)	Prec@5 16.406 (16.063)
Epoch: [29][6110/7045]	Time 0.101 (0.249)	Data 0.002 (0.184)	Loss 4.9340 (5.0098)	Prec@1 6.250 (4.654)	Prec@5 16.797 (16.064)
Epoch: [29][6120/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 4.9544 (5.0098)	Prec@1 5.859 (4.655)	Prec@5 16.406 (16.064)
Epoch: [29][6130/7045]	Time 0.109 (0.249)	Data 0.016 (0.184)	Loss 4.9595 (5.0098)	Prec@1 6.250 (4.656)	Prec@5 18.359 (16.066)
Epoch: [29][6140/7045]	Time 0.134 (0.249)	Data 0.080 (0.184)	Loss 5.0023 (5.0098)	Prec@1 6.250 (4.655)	Prec@5 16.016 (16.064)
Epoch: [29][6150/7045]	Time 0.105 (0.249)	Data 0.052 (0.184)	Loss 5.0173 (5.0099)	Prec@1 3.906 (4.655)	Prec@5 17.969 (16.064)
Epoch: [29][6160/7045]	Time 0.235 (0.249)	Data 0.184 (0.184)	Loss 4.9704 (5.0099)	Prec@1 5.078 (4.655)	Prec@5 16.797 (16.065)
Epoch: [29][6170/7045]	Time 0.100 (0.249)	Data 0.016 (0.184)	Loss 5.0642 (5.0099)	Prec@1 3.516 (4.655)	Prec@5 11.719 (16.064)
Epoch: [29][6180/7045]	Time 0.550 (0.249)	Data 0.489 (0.184)	Loss 4.9508 (5.0099)	Prec@1 5.859 (4.655)	Prec@5 17.578 (16.065)
Epoch: [29][6190/7045]	Time 0.110 (0.249)	Data 0.011 (0.184)	Loss 5.0827 (5.0100)	Prec@1 3.906 (4.655)	Prec@5 14.453 (16.064)
Epoch: [29][6200/7045]	Time 0.743 (0.249)	Data 0.693 (0.184)	Loss 4.9781 (5.0100)	Prec@1 6.250 (4.656)	Prec@5 18.359 (16.063)
Epoch: [29][6210/7045]	Time 0.109 (0.249)	Data 0.057 (0.184)	Loss 4.8832 (5.0101)	Prec@1 6.250 (4.656)	Prec@5 15.625 (16.062)
Epoch: [29][6220/7045]	Time 0.647 (0.249)	Data 0.588 (0.184)	Loss 4.8657 (5.0100)	Prec@1 5.859 (4.656)	Prec@5 17.188 (16.064)
Epoch: [29][6230/7045]	Time 0.102 (0.249)	Data 0.051 (0.184)	Loss 5.1025 (5.0100)	Prec@1 2.344 (4.657)	Prec@5 11.719 (16.065)
Epoch: [29][6240/7045]	Time 0.234 (0.249)	Data 0.183 (0.184)	Loss 5.0203 (5.0100)	Prec@1 3.125 (4.658)	Prec@5 15.625 (16.064)
Epoch: [29][6250/7045]	Time 0.716 (0.249)	Data 0.663 (0.184)	Loss 5.1032 (5.0099)	Prec@1 3.516 (4.658)	Prec@5 12.891 (16.065)
Epoch: [29][6260/7045]	Time 0.101 (0.249)	Data 0.017 (0.184)	Loss 5.0169 (5.0100)	Prec@1 3.125 (4.657)	Prec@5 13.672 (16.063)
Epoch: [29][6270/7045]	Time 0.558 (0.249)	Data 0.505 (0.184)	Loss 5.0328 (5.0101)	Prec@1 5.859 (4.658)	Prec@5 16.797 (16.064)
Epoch: [29][6280/7045]	Time 0.107 (0.249)	Data 0.055 (0.184)	Loss 5.0359 (5.0101)	Prec@1 7.031 (4.658)	Prec@5 15.234 (16.064)
Epoch: [29][6290/7045]	Time 0.334 (0.249)	Data 0.283 (0.184)	Loss 4.8465 (5.0100)	Prec@1 3.906 (4.659)	Prec@5 17.188 (16.064)
Epoch: [29][6300/7045]	Time 0.166 (0.249)	Data 0.115 (0.184)	Loss 5.0156 (5.0100)	Prec@1 5.469 (4.658)	Prec@5 16.016 (16.062)
Epoch: [29][6310/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 4.9299 (5.0100)	Prec@1 6.641 (4.660)	Prec@5 18.750 (16.064)
Epoch: [29][6320/7045]	Time 0.241 (0.249)	Data 0.190 (0.184)	Loss 5.1267 (5.0101)	Prec@1 2.734 (4.659)	Prec@5 13.281 (16.063)
Epoch: [29][6330/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 5.0801 (5.0101)	Prec@1 4.688 (4.659)	Prec@5 16.016 (16.062)
Epoch: [29][6340/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 5.1344 (5.0102)	Prec@1 2.734 (4.658)	Prec@5 14.062 (16.060)
Epoch: [29][6350/7045]	Time 0.108 (0.249)	Data 0.001 (0.184)	Loss 5.0004 (5.0101)	Prec@1 5.469 (4.658)	Prec@5 18.750 (16.059)
Epoch: [29][6360/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 4.9240 (5.0101)	Prec@1 4.688 (4.658)	Prec@5 16.797 (16.059)
Epoch: [29][6370/7045]	Time 0.109 (0.249)	Data 0.014 (0.184)	Loss 4.9396 (5.0100)	Prec@1 7.031 (4.658)	Prec@5 17.188 (16.059)
Epoch: [29][6380/7045]	Time 0.099 (0.249)	Data 0.047 (0.184)	Loss 5.0468 (5.0101)	Prec@1 3.906 (4.658)	Prec@5 13.672 (16.057)
Epoch: [29][6390/7045]	Time 0.284 (0.249)	Data 0.232 (0.184)	Loss 5.0404 (5.0101)	Prec@1 3.125 (4.657)	Prec@5 14.453 (16.055)
Epoch: [29][6400/7045]	Time 0.223 (0.249)	Data 0.171 (0.184)	Loss 5.1080 (5.0101)	Prec@1 5.469 (4.658)	Prec@5 18.359 (16.056)
Epoch: [29][6410/7045]	Time 0.207 (0.249)	Data 0.155 (0.184)	Loss 4.9243 (5.0102)	Prec@1 5.078 (4.658)	Prec@5 14.453 (16.056)
Epoch: [29][6420/7045]	Time 0.470 (0.249)	Data 0.420 (0.184)	Loss 4.9252 (5.0102)	Prec@1 5.469 (4.657)	Prec@5 17.969 (16.056)
Epoch: [29][6430/7045]	Time 0.108 (0.249)	Data 0.001 (0.184)	Loss 5.0740 (5.0102)	Prec@1 3.516 (4.656)	Prec@5 13.281 (16.056)
Epoch: [29][6440/7045]	Time 0.659 (0.249)	Data 0.603 (0.184)	Loss 5.1312 (5.0101)	Prec@1 6.641 (4.658)	Prec@5 15.234 (16.058)
Epoch: [29][6450/7045]	Time 0.109 (0.249)	Data 0.004 (0.184)	Loss 5.0878 (5.0102)	Prec@1 2.734 (4.657)	Prec@5 14.844 (16.057)
Epoch: [29][6460/7045]	Time 0.395 (0.249)	Data 0.345 (0.184)	Loss 5.1080 (5.0102)	Prec@1 6.250 (4.657)	Prec@5 16.406 (16.056)
Epoch: [29][6470/7045]	Time 0.100 (0.249)	Data 0.047 (0.184)	Loss 5.1332 (5.0102)	Prec@1 2.734 (4.658)	Prec@5 14.844 (16.056)
Epoch: [29][6480/7045]	Time 0.314 (0.249)	Data 0.261 (0.184)	Loss 5.1581 (5.0102)	Prec@1 3.906 (4.658)	Prec@5 14.062 (16.056)
Epoch: [29][6490/7045]	Time 0.279 (0.249)	Data 0.227 (0.184)	Loss 5.0496 (5.0102)	Prec@1 4.297 (4.657)	Prec@5 16.016 (16.056)
Epoch: [29][6500/7045]	Time 0.241 (0.249)	Data 0.189 (0.184)	Loss 5.1365 (5.0102)	Prec@1 3.516 (4.657)	Prec@5 13.281 (16.056)
Epoch: [29][6510/7045]	Time 0.165 (0.249)	Data 0.114 (0.184)	Loss 5.0917 (5.0102)	Prec@1 3.906 (4.656)	Prec@5 12.891 (16.054)
Epoch: [29][6520/7045]	Time 0.193 (0.249)	Data 0.142 (0.184)	Loss 4.9749 (5.0102)	Prec@1 4.297 (4.656)	Prec@5 13.672 (16.054)
Epoch: [29][6530/7045]	Time 0.142 (0.249)	Data 0.090 (0.184)	Loss 4.9642 (5.0102)	Prec@1 5.469 (4.656)	Prec@5 17.578 (16.053)
Epoch: [29][6540/7045]	Time 0.180 (0.249)	Data 0.121 (0.184)	Loss 4.9220 (5.0102)	Prec@1 5.078 (4.656)	Prec@5 19.141 (16.055)
Epoch: [29][6550/7045]	Time 0.171 (0.249)	Data 0.120 (0.184)	Loss 4.9074 (5.0101)	Prec@1 7.031 (4.657)	Prec@5 17.578 (16.055)
Epoch: [29][6560/7045]	Time 0.303 (0.249)	Data 0.241 (0.184)	Loss 4.9705 (5.0102)	Prec@1 5.469 (4.657)	Prec@5 18.359 (16.054)
Epoch: [29][6570/7045]	Time 0.115 (0.249)	Data 0.065 (0.184)	Loss 5.0331 (5.0102)	Prec@1 6.641 (4.658)	Prec@5 15.234 (16.053)
Epoch: [29][6580/7045]	Time 0.267 (0.249)	Data 0.210 (0.184)	Loss 4.9654 (5.0102)	Prec@1 3.516 (4.658)	Prec@5 16.406 (16.053)
Epoch: [29][6590/7045]	Time 0.104 (0.249)	Data 0.001 (0.184)	Loss 5.0662 (5.0102)	Prec@1 5.859 (4.658)	Prec@5 13.672 (16.053)
Epoch: [29][6600/7045]	Time 0.106 (0.249)	Data 0.001 (0.184)	Loss 5.0362 (5.0102)	Prec@1 3.906 (4.658)	Prec@5 16.406 (16.054)
Epoch: [29][6610/7045]	Time 0.282 (0.249)	Data 0.231 (0.184)	Loss 4.9051 (5.0101)	Prec@1 8.984 (4.659)	Prec@5 20.703 (16.056)
Epoch: [29][6620/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 4.9705 (5.0102)	Prec@1 3.516 (4.659)	Prec@5 16.016 (16.056)
Epoch: [29][6630/7045]	Time 0.506 (0.249)	Data 0.456 (0.184)	Loss 4.9400 (5.0102)	Prec@1 6.250 (4.659)	Prec@5 17.578 (16.055)
Epoch: [29][6640/7045]	Time 0.101 (0.249)	Data 0.012 (0.184)	Loss 4.9329 (5.0102)	Prec@1 5.469 (4.658)	Prec@5 12.500 (16.053)
Epoch: [29][6650/7045]	Time 0.738 (0.249)	Data 0.681 (0.184)	Loss 5.0220 (5.0103)	Prec@1 5.078 (4.657)	Prec@5 13.672 (16.051)
Epoch: [29][6660/7045]	Time 0.110 (0.249)	Data 0.059 (0.184)	Loss 5.0745 (5.0103)	Prec@1 4.297 (4.657)	Prec@5 13.281 (16.048)
Epoch: [29][6670/7045]	Time 0.645 (0.249)	Data 0.594 (0.184)	Loss 4.9717 (5.0103)	Prec@1 4.297 (4.656)	Prec@5 16.797 (16.049)
Epoch: [29][6680/7045]	Time 0.170 (0.249)	Data 0.119 (0.184)	Loss 5.0371 (5.0103)	Prec@1 3.906 (4.657)	Prec@5 15.625 (16.051)
Epoch: [29][6690/7045]	Time 0.451 (0.249)	Data 0.399 (0.184)	Loss 5.0430 (5.0103)	Prec@1 4.688 (4.657)	Prec@5 16.406 (16.050)
Epoch: [29][6700/7045]	Time 0.215 (0.249)	Data 0.165 (0.184)	Loss 4.9921 (5.0103)	Prec@1 3.906 (4.657)	Prec@5 19.141 (16.051)
Epoch: [29][6710/7045]	Time 0.477 (0.249)	Data 0.426 (0.184)	Loss 4.9089 (5.0102)	Prec@1 5.859 (4.658)	Prec@5 18.750 (16.051)
Epoch: [29][6720/7045]	Time 0.101 (0.248)	Data 0.001 (0.184)	Loss 5.1233 (5.0102)	Prec@1 3.906 (4.658)	Prec@5 15.234 (16.053)
Epoch: [29][6730/7045]	Time 0.108 (0.249)	Data 0.044 (0.184)	Loss 5.0049 (5.0101)	Prec@1 4.297 (4.660)	Prec@5 14.844 (16.055)
Epoch: [29][6740/7045]	Time 0.103 (0.248)	Data 0.001 (0.184)	Loss 4.9755 (5.0100)	Prec@1 4.297 (4.660)	Prec@5 16.406 (16.056)
Epoch: [29][6750/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 5.1122 (5.0100)	Prec@1 5.078 (4.660)	Prec@5 15.234 (16.054)
Epoch: [29][6760/7045]	Time 0.310 (0.249)	Data 0.258 (0.184)	Loss 5.1504 (5.0101)	Prec@1 4.297 (4.659)	Prec@5 14.844 (16.053)
Epoch: [29][6770/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 5.0375 (5.0101)	Prec@1 6.641 (4.660)	Prec@5 16.016 (16.052)
Epoch: [29][6780/7045]	Time 0.274 (0.248)	Data 0.222 (0.184)	Loss 5.1114 (5.0101)	Prec@1 5.859 (4.661)	Prec@5 14.844 (16.054)
Epoch: [29][6790/7045]	Time 0.155 (0.248)	Data 0.104 (0.184)	Loss 5.1180 (5.0101)	Prec@1 5.859 (4.662)	Prec@5 14.844 (16.056)
Epoch: [29][6800/7045]	Time 0.358 (0.249)	Data 0.306 (0.184)	Loss 5.1848 (5.0101)	Prec@1 5.078 (4.661)	Prec@5 15.625 (16.054)
Epoch: [29][6810/7045]	Time 0.188 (0.248)	Data 0.135 (0.184)	Loss 5.0273 (5.0101)	Prec@1 2.344 (4.662)	Prec@5 16.016 (16.054)
Epoch: [29][6820/7045]	Time 0.534 (0.249)	Data 0.477 (0.184)	Loss 5.0090 (5.0101)	Prec@1 3.906 (4.662)	Prec@5 18.359 (16.054)
Epoch: [29][6830/7045]	Time 0.107 (0.248)	Data 0.054 (0.184)	Loss 5.1909 (5.0101)	Prec@1 4.688 (4.662)	Prec@5 14.453 (16.053)
Epoch: [29][6840/7045]	Time 0.639 (0.249)	Data 0.587 (0.184)	Loss 5.0155 (5.0101)	Prec@1 5.859 (4.662)	Prec@5 16.797 (16.055)
Epoch: [29][6850/7045]	Time 0.101 (0.248)	Data 0.004 (0.184)	Loss 5.0669 (5.0101)	Prec@1 5.078 (4.662)	Prec@5 17.578 (16.057)
Epoch: [29][6860/7045]	Time 0.103 (0.248)	Data 0.052 (0.184)	Loss 5.0633 (5.0101)	Prec@1 6.641 (4.662)	Prec@5 16.797 (16.056)
Epoch: [29][6870/7045]	Time 0.146 (0.248)	Data 0.095 (0.184)	Loss 5.0618 (5.0103)	Prec@1 4.688 (4.662)	Prec@5 13.672 (16.054)
Epoch: [29][6880/7045]	Time 0.259 (0.248)	Data 0.207 (0.184)	Loss 5.1729 (5.0102)	Prec@1 5.078 (4.663)	Prec@5 12.109 (16.054)
Epoch: [29][6890/7045]	Time 0.119 (0.249)	Data 0.059 (0.184)	Loss 4.9200 (5.0101)	Prec@1 4.688 (4.663)	Prec@5 18.750 (16.055)
Epoch: [29][6900/7045]	Time 0.652 (0.249)	Data 0.592 (0.184)	Loss 5.1114 (5.0101)	Prec@1 2.734 (4.663)	Prec@5 12.500 (16.054)
Epoch: [29][6910/7045]	Time 0.109 (0.249)	Data 0.001 (0.184)	Loss 4.8582 (5.0101)	Prec@1 5.469 (4.663)	Prec@5 17.188 (16.054)
Epoch: [29][6920/7045]	Time 0.341 (0.249)	Data 0.289 (0.184)	Loss 5.0368 (5.0101)	Prec@1 4.688 (4.663)	Prec@5 16.016 (16.054)
Epoch: [29][6930/7045]	Time 0.208 (0.249)	Data 0.157 (0.184)	Loss 5.0860 (5.0102)	Prec@1 4.688 (4.663)	Prec@5 15.625 (16.053)
Epoch: [29][6940/7045]	Time 0.102 (0.249)	Data 0.013 (0.184)	Loss 4.9893 (5.0102)	Prec@1 5.469 (4.663)	Prec@5 15.234 (16.053)
Epoch: [29][6950/7045]	Time 0.164 (0.248)	Data 0.113 (0.184)	Loss 5.0746 (5.0102)	Prec@1 5.859 (4.662)	Prec@5 14.453 (16.053)
Epoch: [29][6960/7045]	Time 0.142 (0.249)	Data 0.090 (0.184)	Loss 5.1042 (5.0103)	Prec@1 4.297 (4.663)	Prec@5 14.062 (16.054)
Epoch: [29][6970/7045]	Time 0.330 (0.249)	Data 0.278 (0.184)	Loss 4.9970 (5.0103)	Prec@1 5.078 (4.663)	Prec@5 17.188 (16.053)
Epoch: [29][6980/7045]	Time 0.102 (0.248)	Data 0.047 (0.184)	Loss 5.1202 (5.0103)	Prec@1 3.516 (4.663)	Prec@5 13.672 (16.054)
Epoch: [29][6990/7045]	Time 0.101 (0.248)	Data 0.020 (0.184)	Loss 5.1894 (5.0105)	Prec@1 5.078 (4.662)	Prec@5 10.938 (16.051)
Epoch: [29][7000/7045]	Time 0.105 (0.248)	Data 0.053 (0.184)	Loss 5.1273 (5.0105)	Prec@1 1.172 (4.662)	Prec@5 12.109 (16.051)
Epoch: [29][7010/7045]	Time 0.122 (0.249)	Data 0.069 (0.184)	Loss 5.0909 (5.0106)	Prec@1 3.125 (4.661)	Prec@5 14.844 (16.050)
Epoch: [29][7020/7045]	Time 0.107 (0.249)	Data 0.055 (0.184)	Loss 4.9453 (5.0106)	Prec@1 3.906 (4.660)	Prec@5 15.625 (16.049)
Epoch: [29][7030/7045]	Time 0.157 (0.249)	Data 0.106 (0.184)	Loss 5.2142 (5.0107)	Prec@1 2.344 (4.658)	Prec@5 8.594 (16.046)
Epoch: [29][7040/7045]	Time 0.101 (0.249)	Data 0.021 (0.184)	Loss 5.0725 (5.0107)	Prec@1 3.516 (4.657)	Prec@5 14.844 (16.044)
Test: [0/143]	Time 1.159 (1.159)	Loss 4.7479 (4.7479)	Prec@1 11.719 (11.719)	Prec@5 26.953 (26.953)
Test: [10/143]	Time 0.048 (0.254)	Loss 4.9028 (5.0297)	Prec@1 3.516 (3.587)	Prec@5 16.797 (13.956)
Test: [20/143]	Time 0.351 (0.231)	Loss 5.1515 (4.9416)	Prec@1 1.953 (4.669)	Prec@5 8.594 (17.820)
Test: [30/143]	Time 0.143 (0.215)	Loss 5.1411 (4.9414)	Prec@1 0.781 (4.599)	Prec@5 15.234 (17.780)
Test: [40/143]	Time 0.067 (0.207)	Loss 5.1832 (4.9339)	Prec@1 0.391 (4.907)	Prec@5 3.125 (17.330)
Test: [50/143]	Time 0.112 (0.207)	Loss 4.4767 (4.9310)	Prec@1 5.469 (4.879)	Prec@5 28.906 (17.417)
Test: [60/143]	Time 0.415 (0.205)	Loss 5.2761 (4.9244)	Prec@1 1.562 (5.168)	Prec@5 7.422 (17.834)
Test: [70/143]	Time 0.048 (0.200)	Loss 5.0635 (4.9214)	Prec@1 3.125 (5.216)	Prec@5 11.328 (17.826)
Test: [80/143]	Time 0.438 (0.199)	Loss 4.9290 (4.9273)	Prec@1 5.078 (5.117)	Prec@5 19.141 (17.732)
Test: [90/143]	Time 0.139 (0.195)	Loss 4.8155 (4.9172)	Prec@1 4.688 (5.310)	Prec@5 22.266 (18.106)
Test: [100/143]	Time 0.538 (0.196)	Loss 4.5631 (4.9050)	Prec@1 11.719 (5.465)	Prec@5 27.344 (18.588)
Test: [110/143]	Time 0.233 (0.194)	Loss 4.5964 (4.9069)	Prec@1 13.281 (5.543)	Prec@5 30.469 (18.514)
Test: [120/143]	Time 0.359 (0.194)	Loss 4.7048 (4.8908)	Prec@1 3.906 (5.882)	Prec@5 27.344 (19.037)
Test: [130/143]	Time 0.266 (0.193)	Loss 4.3512 (4.8895)	Prec@1 16.016 (5.871)	Prec@5 32.812 (19.000)
Test: [140/143]	Time 0.110 (0.191)	Loss 5.3338 (4.8998)	Prec@1 0.781 (5.690)	Prec@5 2.734 (18.667)
 * Prec@1 5.652 Prec@5 18.589
Epoch: [30][0/7045]	Time 2.512 (2.512)	Data 2.457 (2.457)	Loss 5.0896 (5.0896)	Prec@1 3.906 (3.906)	Prec@5 15.625 (15.625)
Epoch: [30][10/7045]	Time 0.099 (0.445)	Data 0.001 (0.369)	Loss 4.9280 (5.0261)	Prec@1 5.859 (4.794)	Prec@5 20.312 (16.371)
Epoch: [30][20/7045]	Time 0.516 (0.371)	Data 0.465 (0.295)	Loss 5.0067 (5.0199)	Prec@1 5.469 (4.576)	Prec@5 16.406 (15.941)
Epoch: [30][30/7045]	Time 0.243 (0.331)	Data 0.193 (0.259)	Loss 5.0133 (5.0104)	Prec@1 4.297 (4.662)	Prec@5 14.844 (15.915)
Epoch: [30][40/7045]	Time 0.321 (0.316)	Data 0.270 (0.246)	Loss 4.9408 (4.9880)	Prec@1 5.078 (4.907)	Prec@5 20.703 (16.492)
Epoch: [30][50/7045]	Time 0.474 (0.310)	Data 0.414 (0.241)	Loss 4.9237 (4.9742)	Prec@1 4.297 (4.986)	Prec@5 15.625 (16.797)
Epoch: [30][60/7045]	Time 0.243 (0.297)	Data 0.193 (0.229)	Loss 4.9364 (4.9591)	Prec@1 5.859 (5.097)	Prec@5 17.188 (16.983)
Epoch: [30][70/7045]	Time 0.186 (0.292)	Data 0.134 (0.225)	Loss 4.8181 (4.9438)	Prec@1 6.641 (5.133)	Prec@5 22.266 (17.210)
Epoch: [30][80/7045]	Time 0.331 (0.290)	Data 0.280 (0.223)	Loss 4.9135 (4.9325)	Prec@1 5.469 (5.242)	Prec@5 19.922 (17.501)
Epoch: [30][90/7045]	Time 0.226 (0.285)	Data 0.176 (0.218)	Loss 4.7486 (4.9195)	Prec@1 7.031 (5.439)	Prec@5 18.750 (17.771)
Epoch: [30][100/7045]	Time 0.366 (0.283)	Data 0.316 (0.218)	Loss 4.9170 (4.9120)	Prec@1 4.688 (5.488)	Prec@5 16.016 (17.872)
Epoch: [30][110/7045]	Time 0.427 (0.282)	Data 0.376 (0.218)	Loss 4.9344 (4.9094)	Prec@1 4.688 (5.490)	Prec@5 18.359 (17.860)
Epoch: [30][120/7045]	Time 0.102 (0.279)	Data 0.001 (0.215)	Loss 4.7026 (4.9015)	Prec@1 9.375 (5.566)	Prec@5 25.000 (17.972)
Epoch: [30][130/7045]	Time 0.205 (0.278)	Data 0.148 (0.214)	Loss 4.7730 (4.8945)	Prec@1 5.859 (5.591)	Prec@5 22.656 (18.163)
Epoch: [30][140/7045]	Time 0.482 (0.276)	Data 0.429 (0.213)	Loss 4.8866 (4.8912)	Prec@1 4.297 (5.571)	Prec@5 18.359 (18.257)
Epoch: [30][150/7045]	Time 0.139 (0.274)	Data 0.089 (0.211)	Loss 4.6695 (4.8848)	Prec@1 7.812 (5.627)	Prec@5 23.438 (18.450)
Epoch: [30][160/7045]	Time 0.505 (0.274)	Data 0.445 (0.210)	Loss 4.7180 (4.8781)	Prec@1 5.078 (5.670)	Prec@5 19.922 (18.541)
Epoch: [30][170/7045]	Time 0.222 (0.272)	Data 0.171 (0.209)	Loss 4.8431 (4.8726)	Prec@1 4.297 (5.725)	Prec@5 15.625 (18.684)
Epoch: [30][180/7045]	Time 0.221 (0.271)	Data 0.168 (0.208)	Loss 4.7175 (4.8677)	Prec@1 8.594 (5.745)	Prec@5 21.094 (18.772)
Epoch: [30][190/7045]	Time 0.302 (0.271)	Data 0.250 (0.209)	Loss 4.7050 (4.8617)	Prec@1 5.469 (5.788)	Prec@5 23.438 (18.877)
Epoch: [30][200/7045]	Time 0.101 (0.269)	Data 0.009 (0.207)	Loss 4.8261 (4.8563)	Prec@1 3.906 (5.832)	Prec@5 17.969 (18.989)
Epoch: [30][210/7045]	Time 0.101 (0.270)	Data 0.011 (0.207)	Loss 4.8942 (4.8536)	Prec@1 5.469 (5.811)	Prec@5 20.312 (19.007)
Epoch: [30][220/7045]	Time 0.102 (0.268)	Data 0.001 (0.205)	Loss 4.8619 (4.8519)	Prec@1 6.250 (5.828)	Prec@5 18.359 (19.017)
Epoch: [30][230/7045]	Time 0.138 (0.268)	Data 0.077 (0.205)	Loss 4.7775 (4.8469)	Prec@1 6.641 (5.864)	Prec@5 22.266 (19.100)
Epoch: [30][240/7045]	Time 0.108 (0.266)	Data 0.057 (0.203)	Loss 4.9275 (4.8447)	Prec@1 3.906 (5.871)	Prec@5 14.844 (19.162)
Epoch: [30][250/7045]	Time 0.363 (0.266)	Data 0.312 (0.204)	Loss 4.6608 (4.8414)	Prec@1 5.859 (5.886)	Prec@5 22.266 (19.214)
Epoch: [30][260/7045]	Time 0.364 (0.266)	Data 0.312 (0.203)	Loss 4.5868 (4.8369)	Prec@1 8.203 (5.940)	Prec@5 26.172 (19.302)
Epoch: [30][270/7045]	Time 0.099 (0.266)	Data 0.017 (0.203)	Loss 4.8406 (4.8333)	Prec@1 5.469 (5.963)	Prec@5 16.016 (19.355)
Epoch: [30][280/7045]	Time 0.101 (0.265)	Data 0.005 (0.202)	Loss 4.7458 (4.8312)	Prec@1 5.469 (5.971)	Prec@5 20.312 (19.414)
Epoch: [30][290/7045]	Time 0.313 (0.265)	Data 0.262 (0.203)	Loss 4.7941 (4.8273)	Prec@1 4.688 (5.971)	Prec@5 20.312 (19.492)
Epoch: [30][300/7045]	Time 0.101 (0.264)	Data 0.001 (0.201)	Loss 4.5521 (4.8252)	Prec@1 9.375 (5.987)	Prec@5 26.562 (19.571)
Epoch: [30][310/7045]	Time 0.102 (0.264)	Data 0.001 (0.201)	Loss 4.5924 (4.8219)	Prec@1 8.984 (6.018)	Prec@5 25.391 (19.663)
Epoch: [30][320/7045]	Time 0.415 (0.264)	Data 0.357 (0.201)	Loss 4.7541 (4.8194)	Prec@1 5.859 (6.042)	Prec@5 25.781 (19.734)
Epoch: [30][330/7045]	Time 0.106 (0.263)	Data 0.054 (0.200)	Loss 4.7882 (4.8168)	Prec@1 5.078 (6.053)	Prec@5 19.141 (19.783)
Epoch: [30][340/7045]	Time 0.108 (0.263)	Data 0.008 (0.200)	Loss 4.7796 (4.8150)	Prec@1 8.203 (6.072)	Prec@5 20.703 (19.823)
Epoch: [30][350/7045]	Time 0.252 (0.262)	Data 0.200 (0.199)	Loss 4.7245 (4.8131)	Prec@1 5.078 (6.086)	Prec@5 19.531 (19.861)
Epoch: [30][360/7045]	Time 0.310 (0.262)	Data 0.259 (0.200)	Loss 4.6300 (4.8116)	Prec@1 10.156 (6.130)	Prec@5 26.953 (19.888)
Epoch: [30][370/7045]	Time 0.107 (0.262)	Data 0.056 (0.199)	Loss 4.7127 (4.8097)	Prec@1 6.250 (6.134)	Prec@5 18.750 (19.888)
Epoch: [30][380/7045]	Time 0.169 (0.261)	Data 0.118 (0.199)	Loss 4.5027 (4.8067)	Prec@1 8.594 (6.153)	Prec@5 29.688 (19.951)
Epoch: [30][390/7045]	Time 0.239 (0.262)	Data 0.187 (0.199)	Loss 4.6742 (4.8050)	Prec@1 7.422 (6.160)	Prec@5 20.703 (19.970)
Epoch: [30][400/7045]	Time 0.098 (0.261)	Data 0.001 (0.198)	Loss 4.7286 (4.8029)	Prec@1 5.859 (6.189)	Prec@5 20.703 (20.008)
Epoch: [30][410/7045]	Time 0.604 (0.262)	Data 0.548 (0.198)	Loss 4.6197 (4.8012)	Prec@1 7.812 (6.213)	Prec@5 28.125 (20.055)
Epoch: [30][420/7045]	Time 0.108 (0.261)	Data 0.048 (0.197)	Loss 4.6975 (4.7986)	Prec@1 7.422 (6.238)	Prec@5 21.484 (20.125)
Epoch: [30][430/7045]	Time 0.349 (0.261)	Data 0.298 (0.197)	Loss 4.7572 (4.7959)	Prec@1 7.031 (6.282)	Prec@5 17.969 (20.192)
Epoch: [30][440/7045]	Time 0.259 (0.260)	Data 0.208 (0.197)	Loss 4.6791 (4.7941)	Prec@1 8.984 (6.288)	Prec@5 18.359 (20.197)
Epoch: [30][450/7045]	Time 0.287 (0.261)	Data 0.235 (0.197)	Loss 4.6886 (4.7924)	Prec@1 5.859 (6.292)	Prec@5 23.828 (20.227)
Epoch: [30][460/7045]	Time 0.634 (0.261)	Data 0.582 (0.197)	Loss 4.7622 (4.7907)	Prec@1 6.641 (6.299)	Prec@5 21.484 (20.257)
Epoch: [30][470/7045]	Time 0.101 (0.260)	Data 0.001 (0.197)	Loss 4.7453 (4.7902)	Prec@1 7.031 (6.291)	Prec@5 19.531 (20.257)
Epoch: [30][480/7045]	Time 0.377 (0.260)	Data 0.325 (0.196)	Loss 4.6826 (4.7880)	Prec@1 7.031 (6.317)	Prec@5 21.094 (20.308)
Epoch: [30][490/7045]	Time 0.101 (0.260)	Data 0.015 (0.196)	Loss 4.7809 (4.7861)	Prec@1 7.422 (6.343)	Prec@5 21.875 (20.339)
Epoch: [30][500/7045]	Time 0.101 (0.259)	Data 0.017 (0.195)	Loss 4.7353 (4.7852)	Prec@1 8.594 (6.349)	Prec@5 23.438 (20.374)
Epoch: [30][510/7045]	Time 0.101 (0.260)	Data 0.001 (0.196)	Loss 4.8070 (4.7829)	Prec@1 5.859 (6.372)	Prec@5 20.312 (20.410)
Epoch: [30][520/7045]	Time 0.182 (0.260)	Data 0.131 (0.196)	Loss 4.5371 (4.7810)	Prec@1 6.250 (6.380)	Prec@5 26.172 (20.444)
Epoch: [30][530/7045]	Time 0.254 (0.260)	Data 0.202 (0.196)	Loss 4.8241 (4.7796)	Prec@1 5.078 (6.387)	Prec@5 18.750 (20.465)
Epoch: [30][540/7045]	Time 0.102 (0.260)	Data 0.001 (0.195)	Loss 4.7232 (4.7779)	Prec@1 4.688 (6.400)	Prec@5 23.047 (20.512)
Epoch: [30][550/7045]	Time 0.235 (0.260)	Data 0.176 (0.196)	Loss 4.7367 (4.7758)	Prec@1 6.250 (6.421)	Prec@5 21.484 (20.586)
Epoch: [30][560/7045]	Time 0.107 (0.260)	Data 0.055 (0.195)	Loss 4.7831 (4.7741)	Prec@1 8.984 (6.433)	Prec@5 17.969 (20.602)
Epoch: [30][570/7045]	Time 0.214 (0.260)	Data 0.163 (0.196)	Loss 4.8347 (4.7732)	Prec@1 4.688 (6.443)	Prec@5 21.484 (20.616)
Epoch: [30][580/7045]	Time 0.119 (0.259)	Data 0.067 (0.195)	Loss 4.7450 (4.7718)	Prec@1 6.250 (6.463)	Prec@5 16.016 (20.628)
Epoch: [30][590/7045]	Time 0.116 (0.260)	Data 0.064 (0.195)	Loss 4.6289 (4.7711)	Prec@1 7.422 (6.465)	Prec@5 22.656 (20.616)
Epoch: [30][600/7045]	Time 0.108 (0.259)	Data 0.057 (0.195)	Loss 4.7840 (4.7695)	Prec@1 7.422 (6.479)	Prec@5 19.922 (20.652)
Epoch: [30][610/7045]	Time 0.513 (0.260)	Data 0.455 (0.195)	Loss 4.6789 (4.7674)	Prec@1 7.812 (6.502)	Prec@5 22.266 (20.676)
Epoch: [30][620/7045]	Time 0.115 (0.260)	Data 0.056 (0.195)	Loss 4.5870 (4.7663)	Prec@1 9.375 (6.515)	Prec@5 21.875 (20.699)
Epoch: [30][630/7045]	Time 0.598 (0.260)	Data 0.547 (0.195)	Loss 4.6950 (4.7647)	Prec@1 7.812 (6.543)	Prec@5 22.656 (20.729)
Epoch: [30][640/7045]	Time 0.101 (0.260)	Data 0.001 (0.195)	Loss 4.6937 (4.7642)	Prec@1 4.688 (6.547)	Prec@5 19.922 (20.743)
Epoch: [30][650/7045]	Time 0.611 (0.260)	Data 0.559 (0.195)	Loss 4.7709 (4.7632)	Prec@1 7.031 (6.559)	Prec@5 20.703 (20.773)
Epoch: [30][660/7045]	Time 0.101 (0.260)	Data 0.001 (0.195)	Loss 4.5651 (4.7621)	Prec@1 8.594 (6.579)	Prec@5 28.906 (20.795)
Epoch: [30][670/7045]	Time 0.361 (0.260)	Data 0.311 (0.195)	Loss 4.7857 (4.7605)	Prec@1 7.031 (6.598)	Prec@5 20.703 (20.829)
Epoch: [30][680/7045]	Time 0.101 (0.260)	Data 0.007 (0.195)	Loss 4.6431 (4.7598)	Prec@1 7.031 (6.604)	Prec@5 23.828 (20.831)
Epoch: [30][690/7045]	Time 0.193 (0.260)	Data 0.141 (0.195)	Loss 4.7340 (4.7586)	Prec@1 5.469 (6.610)	Prec@5 21.094 (20.843)
Epoch: [30][700/7045]	Time 0.270 (0.260)	Data 0.218 (0.195)	Loss 4.5737 (4.7572)	Prec@1 7.812 (6.626)	Prec@5 21.484 (20.858)
Epoch: [30][710/7045]	Time 0.101 (0.260)	Data 0.004 (0.195)	Loss 4.7866 (4.7557)	Prec@1 6.250 (6.635)	Prec@5 20.703 (20.900)
Epoch: [30][720/7045]	Time 0.222 (0.260)	Data 0.170 (0.195)	Loss 4.6161 (4.7544)	Prec@1 8.594 (6.642)	Prec@5 25.781 (20.916)
Epoch: [30][730/7045]	Time 0.131 (0.260)	Data 0.079 (0.195)	Loss 4.7402 (4.7533)	Prec@1 6.250 (6.644)	Prec@5 23.438 (20.933)
Epoch: [30][740/7045]	Time 0.110 (0.260)	Data 0.057 (0.195)	Loss 4.6848 (4.7517)	Prec@1 7.031 (6.658)	Prec@5 19.531 (20.954)
Epoch: [30][750/7045]	Time 0.281 (0.259)	Data 0.231 (0.195)	Loss 4.7418 (4.7510)	Prec@1 7.031 (6.667)	Prec@5 19.922 (20.978)
Epoch: [30][760/7045]	Time 0.234 (0.260)	Data 0.183 (0.195)	Loss 4.5774 (4.7497)	Prec@1 9.375 (6.689)	Prec@5 25.781 (21.021)
Epoch: [30][770/7045]	Time 0.282 (0.259)	Data 0.230 (0.195)	Loss 4.4662 (4.7486)	Prec@1 11.328 (6.704)	Prec@5 24.609 (21.060)
Epoch: [30][780/7045]	Time 0.109 (0.260)	Data 0.001 (0.195)	Loss 4.6329 (4.7470)	Prec@1 9.766 (6.721)	Prec@5 25.781 (21.097)
Epoch: [30][790/7045]	Time 0.312 (0.259)	Data 0.261 (0.195)	Loss 4.7226 (4.7457)	Prec@1 8.984 (6.733)	Prec@5 17.969 (21.129)
Epoch: [30][800/7045]	Time 0.109 (0.260)	Data 0.020 (0.195)	Loss 4.6458 (4.7442)	Prec@1 5.469 (6.745)	Prec@5 20.312 (21.157)
Epoch: [30][810/7045]	Time 0.122 (0.259)	Data 0.070 (0.195)	Loss 4.7195 (4.7433)	Prec@1 5.469 (6.753)	Prec@5 21.094 (21.183)
Epoch: [30][820/7045]	Time 0.103 (0.260)	Data 0.010 (0.195)	Loss 4.6777 (4.7424)	Prec@1 7.812 (6.761)	Prec@5 23.438 (21.203)
Epoch: [30][830/7045]	Time 0.102 (0.259)	Data 0.001 (0.195)	Loss 4.6922 (4.7414)	Prec@1 8.984 (6.768)	Prec@5 24.219 (21.217)
Epoch: [30][840/7045]	Time 0.251 (0.260)	Data 0.192 (0.195)	Loss 4.6884 (4.7408)	Prec@1 5.078 (6.762)	Prec@5 20.703 (21.231)
Epoch: [30][850/7045]	Time 0.102 (0.260)	Data 0.001 (0.195)	Loss 4.6436 (4.7402)	Prec@1 7.812 (6.767)	Prec@5 26.562 (21.252)
Epoch: [30][860/7045]	Time 0.135 (0.260)	Data 0.082 (0.195)	Loss 4.5014 (4.7390)	Prec@1 10.156 (6.779)	Prec@5 27.734 (21.274)
Epoch: [30][870/7045]	Time 0.102 (0.259)	Data 0.001 (0.194)	Loss 4.7608 (4.7378)	Prec@1 3.906 (6.786)	Prec@5 17.188 (21.288)
Epoch: [30][880/7045]	Time 0.108 (0.260)	Data 0.054 (0.195)	Loss 4.5986 (4.7364)	Prec@1 8.594 (6.800)	Prec@5 23.828 (21.319)
Epoch: [30][890/7045]	Time 0.102 (0.260)	Data 0.001 (0.194)	Loss 4.7229 (4.7351)	Prec@1 7.031 (6.821)	Prec@5 23.828 (21.356)
Epoch: [30][900/7045]	Time 0.401 (0.260)	Data 0.350 (0.195)	Loss 4.7718 (4.7347)	Prec@1 5.469 (6.823)	Prec@5 17.969 (21.364)
Epoch: [30][910/7045]	Time 0.101 (0.260)	Data 0.009 (0.195)	Loss 4.8026 (4.7337)	Prec@1 5.078 (6.835)	Prec@5 19.531 (21.384)
Epoch: [30][920/7045]	Time 0.498 (0.260)	Data 0.446 (0.195)	Loss 4.5789 (4.7326)	Prec@1 7.031 (6.843)	Prec@5 21.875 (21.395)
Epoch: [30][930/7045]	Time 0.226 (0.260)	Data 0.167 (0.195)	Loss 4.6245 (4.7312)	Prec@1 10.938 (6.853)	Prec@5 23.438 (21.431)
Epoch: [30][940/7045]	Time 0.766 (0.260)	Data 0.704 (0.195)	Loss 4.8220 (4.7312)	Prec@1 8.203 (6.868)	Prec@5 18.359 (21.431)
Epoch: [30][950/7045]	Time 0.101 (0.260)	Data 0.001 (0.195)	Loss 4.7774 (4.7302)	Prec@1 7.812 (6.869)	Prec@5 23.047 (21.459)
Epoch: [30][960/7045]	Time 0.590 (0.260)	Data 0.537 (0.195)	Loss 4.8377 (4.7300)	Prec@1 5.469 (6.871)	Prec@5 17.969 (21.469)
Epoch: [30][970/7045]	Time 0.102 (0.260)	Data 0.050 (0.194)	Loss 4.5764 (4.7287)	Prec@1 7.031 (6.880)	Prec@5 24.219 (21.494)
Epoch: [30][980/7045]	Time 0.578 (0.260)	Data 0.522 (0.195)	Loss 4.5243 (4.7272)	Prec@1 10.156 (6.897)	Prec@5 24.219 (21.519)
Epoch: [30][990/7045]	Time 0.189 (0.260)	Data 0.139 (0.195)	Loss 4.6250 (4.7260)	Prec@1 6.250 (6.904)	Prec@5 25.781 (21.534)
Epoch: [30][1000/7045]	Time 0.321 (0.260)	Data 0.269 (0.195)	Loss 4.6105 (4.7248)	Prec@1 8.984 (6.910)	Prec@5 24.609 (21.566)
Epoch: [30][1010/7045]	Time 0.291 (0.260)	Data 0.233 (0.195)	Loss 4.7613 (4.7234)	Prec@1 7.422 (6.925)	Prec@5 21.094 (21.597)
Epoch: [30][1020/7045]	Time 0.103 (0.259)	Data 0.001 (0.195)	Loss 4.5896 (4.7226)	Prec@1 9.375 (6.937)	Prec@5 25.000 (21.609)
Epoch: [30][1030/7045]	Time 0.153 (0.260)	Data 0.103 (0.195)	Loss 4.5668 (4.7217)	Prec@1 10.938 (6.942)	Prec@5 28.125 (21.625)
Epoch: [30][1040/7045]	Time 0.180 (0.260)	Data 0.129 (0.195)	Loss 4.5912 (4.7204)	Prec@1 7.812 (6.962)	Prec@5 23.047 (21.656)
Epoch: [30][1050/7045]	Time 0.102 (0.260)	Data 0.001 (0.195)	Loss 4.7926 (4.7198)	Prec@1 7.422 (6.967)	Prec@5 19.141 (21.665)
Epoch: [30][1060/7045]	Time 0.292 (0.260)	Data 0.241 (0.195)	Loss 4.4819 (4.7181)	Prec@1 10.938 (6.987)	Prec@5 29.688 (21.703)
Epoch: [30][1070/7045]	Time 0.101 (0.260)	Data 0.017 (0.195)	Loss 4.4763 (4.7174)	Prec@1 7.812 (6.988)	Prec@5 26.953 (21.710)
Epoch: [30][1080/7045]	Time 0.515 (0.260)	Data 0.464 (0.195)	Loss 4.4425 (4.7165)	Prec@1 9.375 (7.002)	Prec@5 26.953 (21.736)
Epoch: [30][1090/7045]	Time 0.102 (0.260)	Data 0.001 (0.195)	Loss 4.5845 (4.7155)	Prec@1 8.203 (7.010)	Prec@5 25.000 (21.760)
Epoch: [30][1100/7045]	Time 0.791 (0.260)	Data 0.740 (0.195)	Loss 4.7189 (4.7143)	Prec@1 7.812 (7.027)	Prec@5 20.703 (21.789)
Epoch: [30][1110/7045]	Time 0.111 (0.259)	Data 0.008 (0.194)	Loss 4.3990 (4.7135)	Prec@1 9.375 (7.034)	Prec@5 26.562 (21.809)
Epoch: [30][1120/7045]	Time 0.394 (0.260)	Data 0.342 (0.194)	Loss 4.6165 (4.7122)	Prec@1 8.594 (7.051)	Prec@5 26.562 (21.841)
Epoch: [30][1130/7045]	Time 0.211 (0.259)	Data 0.160 (0.194)	Loss 4.5503 (4.7114)	Prec@1 4.297 (7.055)	Prec@5 19.141 (21.846)
Epoch: [30][1140/7045]	Time 0.101 (0.259)	Data 0.005 (0.194)	Loss 4.5827 (4.7108)	Prec@1 8.594 (7.057)	Prec@5 22.266 (21.863)
Epoch: [30][1150/7045]	Time 0.228 (0.259)	Data 0.177 (0.194)	Loss 4.3976 (4.7096)	Prec@1 9.766 (7.069)	Prec@5 27.344 (21.881)
Epoch: [30][1160/7045]	Time 0.467 (0.259)	Data 0.416 (0.194)	Loss 4.5431 (4.7087)	Prec@1 10.547 (7.082)	Prec@5 27.734 (21.898)
Epoch: [30][1170/7045]	Time 0.108 (0.259)	Data 0.001 (0.194)	Loss 4.7100 (4.7075)	Prec@1 8.203 (7.092)	Prec@5 25.391 (21.928)
Epoch: [30][1180/7045]	Time 0.547 (0.259)	Data 0.496 (0.194)	Loss 4.5729 (4.7066)	Prec@1 9.766 (7.099)	Prec@5 26.562 (21.943)
Epoch: [30][1190/7045]	Time 0.154 (0.259)	Data 0.103 (0.194)	Loss 4.6195 (4.7061)	Prec@1 10.547 (7.103)	Prec@5 20.703 (21.946)
Epoch: [30][1200/7045]	Time 0.101 (0.259)	Data 0.047 (0.194)	Loss 4.4865 (4.7049)	Prec@1 8.594 (7.114)	Prec@5 25.000 (21.970)
Epoch: [30][1210/7045]	Time 0.249 (0.259)	Data 0.198 (0.194)	Loss 4.6120 (4.7040)	Prec@1 10.156 (7.125)	Prec@5 22.266 (21.992)
Epoch: [30][1220/7045]	Time 0.563 (0.259)	Data 0.511 (0.194)	Loss 4.4495 (4.7033)	Prec@1 12.109 (7.136)	Prec@5 29.297 (22.002)
Epoch: [30][1230/7045]	Time 0.101 (0.259)	Data 0.001 (0.194)	Loss 4.5373 (4.7023)	Prec@1 8.594 (7.146)	Prec@5 25.000 (22.020)
Epoch: [30][1240/7045]	Time 0.476 (0.259)	Data 0.424 (0.194)	Loss 4.5584 (4.7016)	Prec@1 8.594 (7.149)	Prec@5 26.172 (22.043)
Epoch: [30][1250/7045]	Time 0.261 (0.259)	Data 0.209 (0.194)	Loss 4.7153 (4.7014)	Prec@1 8.984 (7.147)	Prec@5 24.219 (22.042)
Epoch: [30][1260/7045]	Time 0.103 (0.259)	Data 0.051 (0.194)	Loss 4.8035 (4.7010)	Prec@1 5.859 (7.152)	Prec@5 19.531 (22.054)
Epoch: [30][1270/7045]	Time 0.194 (0.259)	Data 0.136 (0.194)	Loss 4.5886 (4.7005)	Prec@1 11.328 (7.156)	Prec@5 21.875 (22.071)
Epoch: [30][1280/7045]	Time 0.212 (0.259)	Data 0.162 (0.194)	Loss 4.6767 (4.6998)	Prec@1 5.859 (7.154)	Prec@5 22.266 (22.078)
Epoch: [30][1290/7045]	Time 0.101 (0.259)	Data 0.001 (0.194)	Loss 4.4589 (4.6984)	Prec@1 10.156 (7.167)	Prec@5 27.344 (22.108)
Epoch: [30][1300/7045]	Time 0.227 (0.259)	Data 0.175 (0.194)	Loss 4.6482 (4.6977)	Prec@1 8.594 (7.173)	Prec@5 25.000 (22.125)
Epoch: [30][1310/7045]	Time 0.574 (0.259)	Data 0.514 (0.194)	Loss 4.5008 (4.6967)	Prec@1 10.156 (7.184)	Prec@5 30.859 (22.149)
Epoch: [30][1320/7045]	Time 0.108 (0.259)	Data 0.001 (0.194)	Loss 4.6807 (4.6958)	Prec@1 7.031 (7.193)	Prec@5 21.484 (22.172)
Epoch: [30][1330/7045]	Time 0.188 (0.259)	Data 0.128 (0.194)	Loss 4.5737 (4.6953)	Prec@1 10.156 (7.201)	Prec@5 28.125 (22.180)
Epoch: [30][1340/7045]	Time 0.494 (0.259)	Data 0.443 (0.194)	Loss 4.6396 (4.6946)	Prec@1 9.375 (7.213)	Prec@5 25.000 (22.197)
Epoch: [30][1350/7045]	Time 0.118 (0.259)	Data 0.059 (0.194)	Loss 4.5571 (4.6938)	Prec@1 6.641 (7.217)	Prec@5 23.828 (22.207)
Epoch: [30][1360/7045]	Time 0.359 (0.259)	Data 0.298 (0.194)	Loss 4.5132 (4.6931)	Prec@1 9.375 (7.224)	Prec@5 23.828 (22.220)
Epoch: [30][1370/7045]	Time 0.203 (0.259)	Data 0.153 (0.194)	Loss 4.4944 (4.6922)	Prec@1 7.422 (7.232)	Prec@5 25.781 (22.233)
Epoch: [30][1380/7045]	Time 0.183 (0.259)	Data 0.125 (0.194)	Loss 4.8076 (4.6916)	Prec@1 6.250 (7.229)	Prec@5 22.266 (22.249)
Epoch: [30][1390/7045]	Time 0.231 (0.259)	Data 0.180 (0.194)	Loss 4.5314 (4.6910)	Prec@1 8.203 (7.234)	Prec@5 26.562 (22.260)
Epoch: [30][1400/7045]	Time 0.229 (0.259)	Data 0.177 (0.194)	Loss 4.5300 (4.6903)	Prec@1 10.547 (7.245)	Prec@5 26.172 (22.282)
Epoch: [30][1410/7045]	Time 0.103 (0.259)	Data 0.001 (0.194)	Loss 4.5956 (4.6892)	Prec@1 5.859 (7.253)	Prec@5 22.266 (22.299)
Epoch: [30][1420/7045]	Time 0.206 (0.259)	Data 0.156 (0.194)	Loss 4.6230 (4.6881)	Prec@1 10.156 (7.266)	Prec@5 24.219 (22.321)
Epoch: [30][1430/7045]	Time 0.211 (0.259)	Data 0.159 (0.194)	Loss 4.6609 (4.6873)	Prec@1 9.766 (7.279)	Prec@5 26.562 (22.337)
Epoch: [30][1440/7045]	Time 0.480 (0.259)	Data 0.428 (0.194)	Loss 4.5230 (4.6864)	Prec@1 5.859 (7.281)	Prec@5 26.562 (22.356)
Epoch: [30][1450/7045]	Time 0.100 (0.259)	Data 0.015 (0.194)	Loss 4.4931 (4.6855)	Prec@1 4.688 (7.284)	Prec@5 20.703 (22.369)
Epoch: [30][1460/7045]	Time 0.608 (0.259)	Data 0.557 (0.194)	Loss 4.6153 (4.6850)	Prec@1 7.422 (7.288)	Prec@5 25.391 (22.378)
Epoch: [30][1470/7045]	Time 0.102 (0.259)	Data 0.001 (0.194)	Loss 4.5169 (4.6842)	Prec@1 9.766 (7.297)	Prec@5 23.828 (22.399)
Epoch: [30][1480/7045]	Time 0.307 (0.259)	Data 0.255 (0.194)	Loss 4.5423 (4.6835)	Prec@1 7.422 (7.307)	Prec@5 25.781 (22.421)
Epoch: [30][1490/7045]	Time 0.253 (0.259)	Data 0.202 (0.194)	Loss 4.5432 (4.6831)	Prec@1 8.984 (7.313)	Prec@5 28.906 (22.431)
Epoch: [30][1500/7045]	Time 0.197 (0.259)	Data 0.147 (0.194)	Loss 4.5103 (4.6822)	Prec@1 8.984 (7.321)	Prec@5 26.562 (22.449)
Epoch: [30][1510/7045]	Time 0.406 (0.259)	Data 0.353 (0.194)	Loss 4.6617 (4.6813)	Prec@1 9.375 (7.330)	Prec@5 20.312 (22.470)
Epoch: [30][1520/7045]	Time 0.102 (0.259)	Data 0.001 (0.194)	Loss 4.5303 (4.6807)	Prec@1 11.328 (7.345)	Prec@5 24.609 (22.486)
Epoch: [30][1530/7045]	Time 0.108 (0.259)	Data 0.008 (0.194)	Loss 4.5576 (4.6799)	Prec@1 8.984 (7.351)	Prec@5 25.000 (22.509)
Epoch: [30][1540/7045]	Time 0.182 (0.259)	Data 0.132 (0.194)	Loss 4.5255 (4.6794)	Prec@1 10.938 (7.353)	Prec@5 26.172 (22.518)
Epoch: [30][1550/7045]	Time 0.409 (0.259)	Data 0.357 (0.194)	Loss 4.6593 (4.6789)	Prec@1 7.031 (7.359)	Prec@5 22.266 (22.522)
Epoch: [30][1560/7045]	Time 0.146 (0.259)	Data 0.087 (0.194)	Loss 4.6732 (4.6779)	Prec@1 7.812 (7.372)	Prec@5 22.266 (22.543)
Epoch: [30][1570/7045]	Time 0.545 (0.259)	Data 0.494 (0.194)	Loss 4.4731 (4.6773)	Prec@1 12.500 (7.382)	Prec@5 32.812 (22.565)
Epoch: [30][1580/7045]	Time 0.163 (0.259)	Data 0.103 (0.194)	Loss 4.4567 (4.6763)	Prec@1 10.547 (7.393)	Prec@5 30.859 (22.590)
Epoch: [30][1590/7045]	Time 0.204 (0.259)	Data 0.152 (0.194)	Loss 4.5802 (4.6758)	Prec@1 7.812 (7.395)	Prec@5 24.609 (22.599)
Epoch: [30][1600/7045]	Time 0.437 (0.259)	Data 0.382 (0.194)	Loss 4.5155 (4.6750)	Prec@1 7.812 (7.404)	Prec@5 27.344 (22.620)
Epoch: [30][1610/7045]	Time 0.220 (0.259)	Data 0.169 (0.194)	Loss 4.4875 (4.6744)	Prec@1 8.984 (7.413)	Prec@5 26.172 (22.633)
Epoch: [30][1620/7045]	Time 0.771 (0.259)	Data 0.719 (0.194)	Loss 4.7558 (4.6739)	Prec@1 9.375 (7.417)	Prec@5 20.703 (22.638)
Epoch: [30][1630/7045]	Time 0.103 (0.259)	Data 0.051 (0.194)	Loss 4.6448 (4.6733)	Prec@1 10.938 (7.425)	Prec@5 24.219 (22.655)
Epoch: [30][1640/7045]	Time 0.486 (0.259)	Data 0.435 (0.194)	Loss 4.7171 (4.6726)	Prec@1 6.641 (7.431)	Prec@5 19.922 (22.666)
Epoch: [30][1650/7045]	Time 0.139 (0.259)	Data 0.088 (0.194)	Loss 4.6245 (4.6717)	Prec@1 8.203 (7.442)	Prec@5 22.266 (22.678)
Epoch: [30][1660/7045]	Time 0.384 (0.259)	Data 0.333 (0.194)	Loss 4.4998 (4.6709)	Prec@1 6.250 (7.448)	Prec@5 26.953 (22.692)
Epoch: [30][1670/7045]	Time 0.246 (0.259)	Data 0.195 (0.194)	Loss 4.5155 (4.6703)	Prec@1 9.375 (7.455)	Prec@5 26.562 (22.703)
Epoch: [30][1680/7045]	Time 0.488 (0.259)	Data 0.429 (0.194)	Loss 4.7020 (4.6698)	Prec@1 7.422 (7.458)	Prec@5 23.828 (22.718)
Epoch: [30][1690/7045]	Time 0.102 (0.259)	Data 0.001 (0.194)	Loss 4.5741 (4.6690)	Prec@1 6.641 (7.465)	Prec@5 19.922 (22.729)
Epoch: [30][1700/7045]	Time 0.446 (0.259)	Data 0.395 (0.194)	Loss 4.5386 (4.6687)	Prec@1 7.812 (7.468)	Prec@5 27.734 (22.733)
Epoch: [30][1710/7045]	Time 0.437 (0.259)	Data 0.386 (0.194)	Loss 4.6249 (4.6680)	Prec@1 5.859 (7.476)	Prec@5 25.781 (22.750)
Epoch: [30][1720/7045]	Time 0.449 (0.259)	Data 0.398 (0.194)	Loss 4.4159 (4.6674)	Prec@1 10.547 (7.480)	Prec@5 30.469 (22.759)
Epoch: [30][1730/7045]	Time 0.102 (0.259)	Data 0.009 (0.194)	Loss 4.5269 (4.6667)	Prec@1 9.375 (7.483)	Prec@5 25.391 (22.769)
Epoch: [30][1740/7045]	Time 0.593 (0.259)	Data 0.541 (0.194)	Loss 4.7462 (4.6662)	Prec@1 7.031 (7.489)	Prec@5 19.922 (22.778)
Epoch: [30][1750/7045]	Time 0.217 (0.259)	Data 0.167 (0.194)	Loss 4.5205 (4.6654)	Prec@1 10.156 (7.494)	Prec@5 25.781 (22.795)
Epoch: [30][1760/7045]	Time 0.624 (0.259)	Data 0.572 (0.194)	Loss 4.6004 (4.6650)	Prec@1 9.375 (7.503)	Prec@5 25.391 (22.804)
Epoch: [30][1770/7045]	Time 0.108 (0.259)	Data 0.001 (0.194)	Loss 4.4004 (4.6643)	Prec@1 10.156 (7.506)	Prec@5 28.906 (22.817)
Epoch: [30][1780/7045]	Time 0.368 (0.259)	Data 0.319 (0.194)	Loss 4.5361 (4.6637)	Prec@1 7.812 (7.517)	Prec@5 20.703 (22.831)
Epoch: [30][1790/7045]	Time 0.118 (0.259)	Data 0.060 (0.194)	Loss 4.4279 (4.6630)	Prec@1 8.594 (7.527)	Prec@5 29.297 (22.846)
Epoch: [30][1800/7045]	Time 0.589 (0.259)	Data 0.534 (0.194)	Loss 4.5462 (4.6623)	Prec@1 7.422 (7.534)	Prec@5 26.172 (22.858)
Epoch: [30][1810/7045]	Time 0.102 (0.259)	Data 0.050 (0.194)	Loss 4.7084 (4.6618)	Prec@1 3.906 (7.535)	Prec@5 25.000 (22.866)
Epoch: [30][1820/7045]	Time 0.562 (0.259)	Data 0.512 (0.194)	Loss 4.4804 (4.6611)	Prec@1 10.156 (7.537)	Prec@5 27.344 (22.878)
Epoch: [30][1830/7045]	Time 0.254 (0.259)	Data 0.196 (0.194)	Loss 4.5563 (4.6607)	Prec@1 7.422 (7.537)	Prec@5 23.047 (22.883)
Epoch: [30][1840/7045]	Time 0.104 (0.259)	Data 0.053 (0.194)	Loss 4.5248 (4.6601)	Prec@1 7.422 (7.546)	Prec@5 28.125 (22.895)
Epoch: [30][1850/7045]	Time 0.136 (0.259)	Data 0.084 (0.194)	Loss 4.5626 (4.6597)	Prec@1 8.594 (7.547)	Prec@5 26.953 (22.905)
Epoch: [30][1860/7045]	Time 0.291 (0.259)	Data 0.242 (0.194)	Loss 4.6347 (4.6593)	Prec@1 8.203 (7.552)	Prec@5 21.484 (22.912)
Epoch: [30][1870/7045]	Time 0.257 (0.259)	Data 0.206 (0.194)	Loss 4.4751 (4.6587)	Prec@1 10.156 (7.558)	Prec@5 26.562 (22.921)
Epoch: [30][1880/7045]	Time 0.235 (0.259)	Data 0.184 (0.194)	Loss 4.5555 (4.6581)	Prec@1 6.250 (7.561)	Prec@5 27.734 (22.932)
Epoch: [30][1890/7045]	Time 0.112 (0.258)	Data 0.059 (0.194)	Loss 4.4569 (4.6574)	Prec@1 14.844 (7.570)	Prec@5 28.906 (22.955)
Epoch: [30][1900/7045]	Time 0.190 (0.259)	Data 0.138 (0.194)	Loss 4.4616 (4.6570)	Prec@1 10.156 (7.575)	Prec@5 27.344 (22.970)
Epoch: [30][1910/7045]	Time 0.102 (0.258)	Data 0.001 (0.194)	Loss 4.5468 (4.6563)	Prec@1 8.203 (7.585)	Prec@5 22.656 (22.979)
Epoch: [30][1920/7045]	Time 0.525 (0.259)	Data 0.473 (0.194)	Loss 4.4915 (4.6557)	Prec@1 12.500 (7.595)	Prec@5 26.172 (22.994)
Epoch: [30][1930/7045]	Time 0.114 (0.258)	Data 0.063 (0.194)	Loss 4.5527 (4.6548)	Prec@1 7.422 (7.601)	Prec@5 24.609 (23.009)
Epoch: [30][1940/7045]	Time 0.100 (0.258)	Data 0.004 (0.194)	Loss 4.5953 (4.6543)	Prec@1 7.031 (7.605)	Prec@5 23.438 (23.019)
Epoch: [30][1950/7045]	Time 0.202 (0.258)	Data 0.151 (0.194)	Loss 4.6930 (4.6536)	Prec@1 6.641 (7.607)	Prec@5 23.047 (23.034)
Epoch: [30][1960/7045]	Time 0.197 (0.258)	Data 0.147 (0.194)	Loss 4.5694 (4.6530)	Prec@1 8.984 (7.610)	Prec@5 25.391 (23.042)
Epoch: [30][1970/7045]	Time 0.589 (0.258)	Data 0.538 (0.194)	Loss 4.3387 (4.6525)	Prec@1 9.375 (7.613)	Prec@5 25.391 (23.049)
Epoch: [30][1980/7045]	Time 0.307 (0.258)	Data 0.256 (0.194)	Loss 4.7854 (4.6522)	Prec@1 5.469 (7.616)	Prec@5 21.875 (23.052)
Epoch: [30][1990/7045]	Time 0.394 (0.258)	Data 0.343 (0.194)	Loss 4.3517 (4.6514)	Prec@1 11.328 (7.626)	Prec@5 32.422 (23.067)
Epoch: [30][2000/7045]	Time 0.333 (0.258)	Data 0.282 (0.194)	Loss 4.5614 (4.6511)	Prec@1 7.031 (7.628)	Prec@5 24.609 (23.073)
Epoch: [30][2010/7045]	Time 0.213 (0.258)	Data 0.155 (0.194)	Loss 4.4900 (4.6505)	Prec@1 6.641 (7.633)	Prec@5 25.000 (23.087)
Epoch: [30][2020/7045]	Time 0.238 (0.258)	Data 0.188 (0.194)	Loss 4.4445 (4.6500)	Prec@1 10.156 (7.635)	Prec@5 28.125 (23.104)
Epoch: [30][2030/7045]	Time 0.382 (0.258)	Data 0.331 (0.194)	Loss 4.4804 (4.6494)	Prec@1 8.203 (7.642)	Prec@5 26.562 (23.116)
Epoch: [30][2040/7045]	Time 0.101 (0.258)	Data 0.001 (0.194)	Loss 4.6390 (4.6489)	Prec@1 5.859 (7.648)	Prec@5 22.266 (23.126)
Epoch: [30][2050/7045]	Time 0.110 (0.258)	Data 0.059 (0.194)	Loss 4.6151 (4.6481)	Prec@1 10.547 (7.658)	Prec@5 21.094 (23.140)
Epoch: [30][2060/7045]	Time 0.210 (0.258)	Data 0.158 (0.194)	Loss 4.4117 (4.6474)	Prec@1 8.594 (7.664)	Prec@5 30.078 (23.157)
Epoch: [30][2070/7045]	Time 0.102 (0.258)	Data 0.001 (0.193)	Loss 4.5124 (4.6468)	Prec@1 7.812 (7.669)	Prec@5 25.391 (23.167)
Epoch: [30][2080/7045]	Time 0.101 (0.258)	Data 0.005 (0.193)	Loss 4.6277 (4.6464)	Prec@1 7.422 (7.672)	Prec@5 25.391 (23.173)
Epoch: [30][2090/7045]	Time 0.149 (0.258)	Data 0.097 (0.193)	Loss 4.6147 (4.6456)	Prec@1 7.031 (7.674)	Prec@5 26.172 (23.196)
Epoch: [30][2100/7045]	Time 0.352 (0.258)	Data 0.301 (0.193)	Loss 4.4987 (4.6450)	Prec@1 9.375 (7.682)	Prec@5 26.172 (23.203)
Epoch: [30][2110/7045]	Time 0.111 (0.258)	Data 0.060 (0.193)	Loss 4.4584 (4.6443)	Prec@1 8.594 (7.687)	Prec@5 25.781 (23.217)
Epoch: [30][2120/7045]	Time 0.513 (0.258)	Data 0.463 (0.193)	Loss 4.5279 (4.6437)	Prec@1 5.469 (7.696)	Prec@5 23.828 (23.234)
Epoch: [30][2130/7045]	Time 0.102 (0.258)	Data 0.019 (0.193)	Loss 4.4556 (4.6431)	Prec@1 11.328 (7.703)	Prec@5 28.516 (23.250)
Epoch: [30][2140/7045]	Time 0.625 (0.258)	Data 0.574 (0.193)	Loss 4.4137 (4.6423)	Prec@1 8.594 (7.707)	Prec@5 28.125 (23.264)
Epoch: [30][2150/7045]	Time 0.102 (0.257)	Data 0.010 (0.193)	Loss 4.5020 (4.6419)	Prec@1 7.422 (7.715)	Prec@5 23.047 (23.278)
Epoch: [30][2160/7045]	Time 0.338 (0.257)	Data 0.287 (0.193)	Loss 4.5406 (4.6413)	Prec@1 6.641 (7.720)	Prec@5 25.000 (23.287)
Epoch: [30][2170/7045]	Time 0.101 (0.257)	Data 0.021 (0.193)	Loss 4.5637 (4.6407)	Prec@1 8.984 (7.727)	Prec@5 24.219 (23.296)
Epoch: [30][2180/7045]	Time 0.213 (0.257)	Data 0.161 (0.193)	Loss 4.3461 (4.6402)	Prec@1 11.719 (7.737)	Prec@5 28.906 (23.311)
Epoch: [30][2190/7045]	Time 0.248 (0.257)	Data 0.197 (0.193)	Loss 4.5540 (4.6398)	Prec@1 7.812 (7.745)	Prec@5 27.734 (23.318)
Epoch: [30][2200/7045]	Time 0.100 (0.257)	Data 0.001 (0.193)	Loss 4.5418 (4.6392)	Prec@1 8.203 (7.750)	Prec@5 22.266 (23.333)
Epoch: [30][2210/7045]	Time 0.462 (0.257)	Data 0.412 (0.193)	Loss 4.4421 (4.6383)	Prec@1 8.984 (7.757)	Prec@5 25.781 (23.352)
Epoch: [30][2220/7045]	Time 0.102 (0.257)	Data 0.018 (0.193)	Loss 4.5008 (4.6379)	Prec@1 8.984 (7.764)	Prec@5 25.391 (23.359)
Epoch: [30][2230/7045]	Time 0.102 (0.257)	Data 0.045 (0.193)	Loss 4.3989 (4.6375)	Prec@1 10.156 (7.772)	Prec@5 30.469 (23.374)
Epoch: [30][2240/7045]	Time 0.119 (0.257)	Data 0.068 (0.193)	Loss 4.5648 (4.6372)	Prec@1 7.422 (7.776)	Prec@5 25.391 (23.383)
Epoch: [30][2250/7045]	Time 0.256 (0.257)	Data 0.205 (0.193)	Loss 4.5263 (4.6368)	Prec@1 10.938 (7.782)	Prec@5 28.125 (23.397)
Epoch: [30][2260/7045]	Time 0.242 (0.257)	Data 0.182 (0.193)	Loss 4.4018 (4.6363)	Prec@1 10.547 (7.786)	Prec@5 29.688 (23.409)
Epoch: [30][2270/7045]	Time 0.418 (0.257)	Data 0.367 (0.193)	Loss 4.5002 (4.6359)	Prec@1 7.031 (7.788)	Prec@5 26.562 (23.418)
Epoch: [30][2280/7045]	Time 0.512 (0.257)	Data 0.458 (0.193)	Loss 4.6381 (4.6355)	Prec@1 8.594 (7.794)	Prec@5 23.438 (23.427)
Epoch: [30][2290/7045]	Time 0.109 (0.257)	Data 0.056 (0.193)	Loss 4.5041 (4.6351)	Prec@1 10.156 (7.798)	Prec@5 26.562 (23.437)
Epoch: [30][2300/7045]	Time 0.494 (0.257)	Data 0.442 (0.193)	Loss 4.5247 (4.6349)	Prec@1 6.641 (7.798)	Prec@5 23.047 (23.439)
Epoch: [30][2310/7045]	Time 0.154 (0.257)	Data 0.103 (0.193)	Loss 4.4722 (4.6345)	Prec@1 8.984 (7.800)	Prec@5 28.906 (23.447)
Epoch: [30][2320/7045]	Time 0.098 (0.257)	Data 0.046 (0.193)	Loss 4.5254 (4.6342)	Prec@1 10.156 (7.803)	Prec@5 29.297 (23.455)
Epoch: [30][2330/7045]	Time 0.105 (0.257)	Data 0.053 (0.193)	Loss 4.5270 (4.6338)	Prec@1 8.984 (7.807)	Prec@5 28.516 (23.464)
Epoch: [30][2340/7045]	Time 0.162 (0.257)	Data 0.110 (0.193)	Loss 4.4944 (4.6330)	Prec@1 7.422 (7.814)	Prec@5 26.562 (23.481)
Epoch: [30][2350/7045]	Time 0.300 (0.257)	Data 0.249 (0.193)	Loss 4.3561 (4.6325)	Prec@1 11.328 (7.819)	Prec@5 27.734 (23.491)
Epoch: [30][2360/7045]	Time 0.183 (0.257)	Data 0.131 (0.193)	Loss 4.5222 (4.6319)	Prec@1 9.766 (7.827)	Prec@5 23.828 (23.500)
Epoch: [30][2370/7045]	Time 0.126 (0.257)	Data 0.075 (0.193)	Loss 4.3606 (4.6312)	Prec@1 9.766 (7.831)	Prec@5 29.297 (23.512)
Epoch: [30][2380/7045]	Time 0.199 (0.257)	Data 0.139 (0.193)	Loss 4.5335 (4.6305)	Prec@1 8.594 (7.838)	Prec@5 27.734 (23.529)
Epoch: [30][2390/7045]	Time 0.101 (0.257)	Data 0.001 (0.193)	Loss 4.5152 (4.6301)	Prec@1 8.594 (7.839)	Prec@5 26.562 (23.534)
Epoch: [30][2400/7045]	Time 0.176 (0.257)	Data 0.125 (0.193)	Loss 4.5584 (4.6296)	Prec@1 9.766 (7.843)	Prec@5 24.219 (23.545)
Epoch: [30][2410/7045]	Time 0.408 (0.257)	Data 0.357 (0.193)	Loss 4.4563 (4.6292)	Prec@1 10.547 (7.847)	Prec@5 26.953 (23.552)
Epoch: [30][2420/7045]	Time 0.102 (0.257)	Data 0.009 (0.193)	Loss 4.5385 (4.6287)	Prec@1 8.203 (7.851)	Prec@5 27.344 (23.561)
Epoch: [30][2430/7045]	Time 0.596 (0.257)	Data 0.545 (0.193)	Loss 4.5762 (4.6282)	Prec@1 8.203 (7.858)	Prec@5 20.703 (23.572)
Epoch: [30][2440/7045]	Time 0.232 (0.257)	Data 0.181 (0.193)	Loss 4.5512 (4.6277)	Prec@1 7.812 (7.861)	Prec@5 22.266 (23.578)
Epoch: [30][2450/7045]	Time 0.120 (0.257)	Data 0.068 (0.193)	Loss 4.6597 (4.6273)	Prec@1 7.422 (7.867)	Prec@5 24.609 (23.587)
Epoch: [30][2460/7045]	Time 0.266 (0.257)	Data 0.213 (0.193)	Loss 4.6712 (4.6269)	Prec@1 7.422 (7.874)	Prec@5 25.000 (23.600)
Epoch: [30][2470/7045]	Time 0.292 (0.257)	Data 0.240 (0.193)	Loss 4.7890 (4.6265)	Prec@1 7.422 (7.880)	Prec@5 21.094 (23.613)
Epoch: [30][2480/7045]	Time 0.101 (0.257)	Data 0.001 (0.193)	Loss 4.4400 (4.6257)	Prec@1 9.766 (7.886)	Prec@5 26.562 (23.628)
Epoch: [30][2490/7045]	Time 0.260 (0.257)	Data 0.208 (0.193)	Loss 4.4742 (4.6250)	Prec@1 10.547 (7.894)	Prec@5 28.516 (23.640)
Epoch: [30][2500/7045]	Time 0.243 (0.257)	Data 0.193 (0.193)	Loss 4.3171 (4.6246)	Prec@1 12.500 (7.900)	Prec@5 28.906 (23.649)
Epoch: [30][2510/7045]	Time 0.110 (0.257)	Data 0.059 (0.193)	Loss 4.4614 (4.6241)	Prec@1 11.719 (7.906)	Prec@5 29.297 (23.657)
Epoch: [30][2520/7045]	Time 0.339 (0.257)	Data 0.288 (0.193)	Loss 4.4896 (4.6236)	Prec@1 7.812 (7.909)	Prec@5 24.609 (23.667)
Epoch: [30][2530/7045]	Time 0.101 (0.257)	Data 0.001 (0.193)	Loss 4.4900 (4.6231)	Prec@1 10.547 (7.914)	Prec@5 26.562 (23.675)
Epoch: [30][2540/7045]	Time 0.147 (0.257)	Data 0.091 (0.194)	Loss 4.4495 (4.6225)	Prec@1 9.766 (7.919)	Prec@5 28.516 (23.685)
Epoch: [30][2550/7045]	Time 0.425 (0.257)	Data 0.373 (0.194)	Loss 4.4860 (4.6219)	Prec@1 10.547 (7.926)	Prec@5 28.516 (23.700)
Epoch: [30][2560/7045]	Time 0.277 (0.257)	Data 0.226 (0.194)	Loss 4.3851 (4.6215)	Prec@1 10.547 (7.929)	Prec@5 28.906 (23.710)
Epoch: [30][2570/7045]	Time 0.679 (0.257)	Data 0.629 (0.194)	Loss 4.7279 (4.6213)	Prec@1 6.641 (7.931)	Prec@5 21.094 (23.714)
Epoch: [30][2580/7045]	Time 0.102 (0.257)	Data 0.048 (0.193)	Loss 4.3987 (4.6206)	Prec@1 9.375 (7.939)	Prec@5 26.172 (23.725)
Epoch: [30][2590/7045]	Time 0.459 (0.257)	Data 0.408 (0.194)	Loss 4.5555 (4.6201)	Prec@1 8.984 (7.941)	Prec@5 27.344 (23.736)
Epoch: [30][2600/7045]	Time 0.101 (0.257)	Data 0.001 (0.193)	Loss 4.5193 (4.6196)	Prec@1 8.984 (7.943)	Prec@5 25.391 (23.746)
Epoch: [30][2610/7045]	Time 0.539 (0.257)	Data 0.488 (0.193)	Loss 4.5460 (4.6194)	Prec@1 7.812 (7.944)	Prec@5 26.953 (23.753)
Epoch: [30][2620/7045]	Time 0.209 (0.257)	Data 0.149 (0.193)	Loss 4.4510 (4.6191)	Prec@1 12.109 (7.946)	Prec@5 26.953 (23.760)
Epoch: [30][2630/7045]	Time 0.269 (0.257)	Data 0.217 (0.193)	Loss 4.5198 (4.6187)	Prec@1 7.422 (7.951)	Prec@5 24.609 (23.765)
Epoch: [30][2640/7045]	Time 0.396 (0.257)	Data 0.346 (0.194)	Loss 4.4116 (4.6181)	Prec@1 6.250 (7.953)	Prec@5 26.953 (23.776)
Epoch: [30][2650/7045]	Time 0.103 (0.257)	Data 0.017 (0.193)	Loss 4.4971 (4.6177)	Prec@1 8.984 (7.961)	Prec@5 26.953 (23.791)
Epoch: [30][2660/7045]	Time 0.471 (0.257)	Data 0.419 (0.194)	Loss 4.3741 (4.6171)	Prec@1 8.984 (7.967)	Prec@5 29.297 (23.805)
Epoch: [30][2670/7045]	Time 0.159 (0.257)	Data 0.107 (0.194)	Loss 4.4396 (4.6165)	Prec@1 9.766 (7.972)	Prec@5 24.609 (23.816)
Epoch: [30][2680/7045]	Time 0.101 (0.257)	Data 0.019 (0.193)	Loss 4.4672 (4.6160)	Prec@1 8.984 (7.978)	Prec@5 26.562 (23.827)
Epoch: [30][2690/7045]	Time 0.112 (0.257)	Data 0.057 (0.194)	Loss 4.4398 (4.6157)	Prec@1 10.156 (7.984)	Prec@5 25.391 (23.836)
Epoch: [30][2700/7045]	Time 0.101 (0.257)	Data 0.001 (0.193)	Loss 4.4839 (4.6152)	Prec@1 7.422 (7.988)	Prec@5 21.875 (23.839)
Epoch: [30][2710/7045]	Time 0.566 (0.257)	Data 0.514 (0.194)	Loss 4.4851 (4.6148)	Prec@1 8.203 (7.991)	Prec@5 23.828 (23.846)
Epoch: [30][2720/7045]	Time 0.113 (0.257)	Data 0.001 (0.193)	Loss 4.6938 (4.6144)	Prec@1 8.203 (7.995)	Prec@5 21.094 (23.853)
Epoch: [30][2730/7045]	Time 0.307 (0.257)	Data 0.257 (0.193)	Loss 4.5290 (4.6141)	Prec@1 7.031 (7.999)	Prec@5 28.125 (23.863)
Epoch: [30][2740/7045]	Time 0.103 (0.257)	Data 0.001 (0.193)	Loss 4.5411 (4.6137)	Prec@1 9.766 (8.003)	Prec@5 28.516 (23.872)
Epoch: [30][2750/7045]	Time 0.102 (0.257)	Data 0.050 (0.193)	Loss 4.5258 (4.6133)	Prec@1 5.859 (8.006)	Prec@5 24.609 (23.881)
Epoch: [30][2760/7045]	Time 0.331 (0.257)	Data 0.280 (0.193)	Loss 4.5763 (4.6127)	Prec@1 4.688 (8.013)	Prec@5 21.094 (23.895)
Epoch: [30][2770/7045]	Time 0.104 (0.257)	Data 0.052 (0.193)	Loss 4.5349 (4.6122)	Prec@1 8.984 (8.019)	Prec@5 26.562 (23.905)
Epoch: [30][2780/7045]	Time 0.595 (0.257)	Data 0.543 (0.194)	Loss 4.3881 (4.6119)	Prec@1 9.766 (8.023)	Prec@5 26.562 (23.912)
Epoch: [30][2790/7045]	Time 0.201 (0.257)	Data 0.146 (0.193)	Loss 4.5830 (4.6114)	Prec@1 7.031 (8.027)	Prec@5 25.000 (23.926)
Epoch: [30][2800/7045]	Time 0.107 (0.257)	Data 0.055 (0.193)	Loss 4.4247 (4.6108)	Prec@1 13.672 (8.032)	Prec@5 30.469 (23.939)
Epoch: [30][2810/7045]	Time 0.174 (0.257)	Data 0.123 (0.193)	Loss 4.5008 (4.6104)	Prec@1 12.891 (8.037)	Prec@5 28.906 (23.949)
Epoch: [30][2820/7045]	Time 0.114 (0.257)	Data 0.063 (0.193)	Loss 4.4436 (4.6099)	Prec@1 10.156 (8.040)	Prec@5 28.906 (23.960)
Epoch: [30][2830/7045]	Time 0.196 (0.257)	Data 0.144 (0.193)	Loss 4.4869 (4.6096)	Prec@1 8.203 (8.044)	Prec@5 25.781 (23.969)
Epoch: [30][2840/7045]	Time 0.112 (0.257)	Data 0.060 (0.193)	Loss 4.5216 (4.6093)	Prec@1 9.766 (8.049)	Prec@5 27.344 (23.980)
Epoch: [30][2850/7045]	Time 0.110 (0.257)	Data 0.001 (0.194)	Loss 4.2219 (4.6087)	Prec@1 9.375 (8.054)	Prec@5 30.859 (23.987)
Epoch: [30][2860/7045]	Time 0.105 (0.257)	Data 0.053 (0.193)	Loss 4.6642 (4.6085)	Prec@1 7.031 (8.058)	Prec@5 22.656 (23.990)
Epoch: [30][2870/7045]	Time 0.574 (0.257)	Data 0.516 (0.194)	Loss 4.3242 (4.6080)	Prec@1 9.766 (8.062)	Prec@5 31.250 (24.002)
Epoch: [30][2880/7045]	Time 0.437 (0.257)	Data 0.386 (0.194)	Loss 4.4540 (4.6078)	Prec@1 8.984 (8.063)	Prec@5 28.516 (24.007)
Epoch: [30][2890/7045]	Time 0.180 (0.257)	Data 0.122 (0.194)	Loss 4.5270 (4.6073)	Prec@1 10.156 (8.067)	Prec@5 26.172 (24.011)
Epoch: [30][2900/7045]	Time 0.188 (0.257)	Data 0.137 (0.193)	Loss 4.6630 (4.6066)	Prec@1 7.812 (8.073)	Prec@5 21.094 (24.024)
Epoch: [30][2910/7045]	Time 0.449 (0.257)	Data 0.398 (0.194)	Loss 4.4040 (4.6061)	Prec@1 11.328 (8.079)	Prec@5 28.516 (24.039)
Epoch: [30][2920/7045]	Time 0.099 (0.257)	Data 0.001 (0.194)	Loss 4.4824 (4.6058)	Prec@1 7.812 (8.080)	Prec@5 25.391 (24.050)
Epoch: [30][2930/7045]	Time 0.804 (0.257)	Data 0.753 (0.194)	Loss 4.5033 (4.6052)	Prec@1 7.031 (8.084)	Prec@5 23.438 (24.060)
Epoch: [30][2940/7045]	Time 0.166 (0.257)	Data 0.113 (0.193)	Loss 4.5139 (4.6048)	Prec@1 7.812 (8.090)	Prec@5 26.562 (24.073)
Epoch: [30][2950/7045]	Time 0.427 (0.257)	Data 0.375 (0.193)	Loss 4.6216 (4.6044)	Prec@1 6.250 (8.090)	Prec@5 24.219 (24.080)
Epoch: [30][2960/7045]	Time 0.104 (0.257)	Data 0.052 (0.193)	Loss 4.5081 (4.6038)	Prec@1 11.328 (8.095)	Prec@5 26.953 (24.089)
Epoch: [30][2970/7045]	Time 0.101 (0.257)	Data 0.008 (0.193)	Loss 4.5455 (4.6033)	Prec@1 9.375 (8.103)	Prec@5 24.609 (24.097)
Epoch: [30][2980/7045]	Time 0.204 (0.257)	Data 0.147 (0.193)	Loss 4.3150 (4.6028)	Prec@1 14.062 (8.110)	Prec@5 30.859 (24.107)
Epoch: [30][2990/7045]	Time 0.102 (0.257)	Data 0.001 (0.193)	Loss 4.4122 (4.6023)	Prec@1 10.156 (8.112)	Prec@5 27.344 (24.118)
Epoch: [30][3000/7045]	Time 0.107 (0.257)	Data 0.055 (0.193)	Loss 4.5583 (4.6019)	Prec@1 8.203 (8.118)	Prec@5 22.266 (24.126)
Epoch: [30][3010/7045]	Time 0.119 (0.257)	Data 0.068 (0.193)	Loss 4.6286 (4.6014)	Prec@1 6.641 (8.123)	Prec@5 23.438 (24.138)
Epoch: [30][3020/7045]	Time 0.337 (0.257)	Data 0.278 (0.193)	Loss 4.3962 (4.6010)	Prec@1 12.109 (8.127)	Prec@5 27.734 (24.145)
Epoch: [30][3030/7045]	Time 0.272 (0.257)	Data 0.220 (0.193)	Loss 4.3495 (4.6004)	Prec@1 12.500 (8.136)	Prec@5 30.469 (24.158)
Epoch: [30][3040/7045]	Time 0.478 (0.257)	Data 0.427 (0.193)	Loss 4.4843 (4.5999)	Prec@1 9.766 (8.139)	Prec@5 26.953 (24.168)
Epoch: [30][3050/7045]	Time 0.410 (0.257)	Data 0.358 (0.193)	Loss 4.3997 (4.5994)	Prec@1 7.812 (8.143)	Prec@5 30.469 (24.182)
Epoch: [30][3060/7045]	Time 0.251 (0.257)	Data 0.201 (0.193)	Loss 4.6203 (4.5988)	Prec@1 6.250 (8.145)	Prec@5 20.312 (24.192)
Epoch: [30][3070/7045]	Time 0.734 (0.257)	Data 0.683 (0.193)	Loss 4.4371 (4.5982)	Prec@1 8.203 (8.146)	Prec@5 26.953 (24.205)
Epoch: [30][3080/7045]	Time 0.102 (0.257)	Data 0.007 (0.193)	Loss 4.4772 (4.5977)	Prec@1 10.156 (8.151)	Prec@5 26.172 (24.217)
Epoch: [30][3090/7045]	Time 0.698 (0.257)	Data 0.641 (0.193)	Loss 4.3555 (4.5973)	Prec@1 9.375 (8.155)	Prec@5 31.641 (24.228)
Epoch: [30][3100/7045]	Time 0.103 (0.257)	Data 0.051 (0.193)	Loss 4.5583 (4.5969)	Prec@1 7.812 (8.159)	Prec@5 26.562 (24.238)
Epoch: [30][3110/7045]	Time 0.682 (0.257)	Data 0.631 (0.193)	Loss 4.4639 (4.5963)	Prec@1 10.547 (8.166)	Prec@5 25.000 (24.246)
Epoch: [30][3120/7045]	Time 0.101 (0.257)	Data 0.043 (0.193)	Loss 4.5068 (4.5958)	Prec@1 10.156 (8.172)	Prec@5 25.781 (24.256)
Epoch: [30][3130/7045]	Time 0.490 (0.257)	Data 0.440 (0.193)	Loss 4.6149 (4.5954)	Prec@1 7.812 (8.175)	Prec@5 23.438 (24.264)
Epoch: [30][3140/7045]	Time 0.440 (0.257)	Data 0.389 (0.193)	Loss 4.6174 (4.5949)	Prec@1 10.156 (8.180)	Prec@5 23.047 (24.274)
Epoch: [30][3150/7045]	Time 0.271 (0.257)	Data 0.219 (0.193)	Loss 4.3750 (4.5945)	Prec@1 8.984 (8.185)	Prec@5 29.688 (24.282)
Epoch: [30][3160/7045]	Time 0.671 (0.257)	Data 0.620 (0.193)	Loss 4.4725 (4.5940)	Prec@1 8.594 (8.192)	Prec@5 25.781 (24.294)
Epoch: [30][3170/7045]	Time 0.269 (0.257)	Data 0.211 (0.193)	Loss 4.3987 (4.5934)	Prec@1 8.203 (8.197)	Prec@5 26.172 (24.307)
Epoch: [30][3180/7045]	Time 0.312 (0.257)	Data 0.261 (0.193)	Loss 4.3721 (4.5931)	Prec@1 9.766 (8.198)	Prec@5 26.172 (24.315)
Epoch: [30][3190/7045]	Time 0.101 (0.257)	Data 0.017 (0.193)	Loss 4.5201 (4.5926)	Prec@1 10.156 (8.204)	Prec@5 24.609 (24.326)
Epoch: [30][3200/7045]	Time 0.102 (0.257)	Data 0.001 (0.193)	Loss 4.5011 (4.5924)	Prec@1 10.156 (8.206)	Prec@5 24.609 (24.335)
Epoch: [30][3210/7045]	Time 0.152 (0.257)	Data 0.101 (0.193)	Loss 4.4898 (4.5920)	Prec@1 11.719 (8.211)	Prec@5 31.641 (24.345)
Epoch: [30][3220/7045]	Time 0.632 (0.257)	Data 0.572 (0.193)	Loss 4.5173 (4.5916)	Prec@1 12.500 (8.216)	Prec@5 25.781 (24.356)
Epoch: [30][3230/7045]	Time 0.102 (0.257)	Data 0.001 (0.193)	Loss 4.4336 (4.5913)	Prec@1 12.500 (8.220)	Prec@5 30.859 (24.365)
Epoch: [30][3240/7045]	Time 0.377 (0.257)	Data 0.327 (0.193)	Loss 4.7058 (4.5908)	Prec@1 8.594 (8.225)	Prec@5 24.219 (24.374)
Epoch: [30][3250/7045]	Time 0.358 (0.257)	Data 0.306 (0.193)	Loss 4.5623 (4.5905)	Prec@1 10.547 (8.227)	Prec@5 28.516 (24.383)
Epoch: [30][3260/7045]	Time 0.101 (0.257)	Data 0.001 (0.193)	Loss 4.2695 (4.5902)	Prec@1 10.156 (8.230)	Prec@5 32.031 (24.388)
Epoch: [30][3270/7045]	Time 0.102 (0.257)	Data 0.046 (0.193)	Loss 4.4719 (4.5898)	Prec@1 10.156 (8.232)	Prec@5 26.562 (24.396)
Epoch: [30][3280/7045]	Time 0.108 (0.257)	Data 0.055 (0.193)	Loss 4.4964 (4.5894)	Prec@1 5.469 (8.237)	Prec@5 26.562 (24.405)
Epoch: [30][3290/7045]	Time 0.493 (0.257)	Data 0.442 (0.193)	Loss 4.5449 (4.5890)	Prec@1 7.812 (8.243)	Prec@5 24.219 (24.414)
Epoch: [30][3300/7045]	Time 0.100 (0.257)	Data 0.001 (0.193)	Loss 4.5261 (4.5887)	Prec@1 7.422 (8.245)	Prec@5 21.875 (24.418)
Epoch: [30][3310/7045]	Time 0.603 (0.257)	Data 0.553 (0.193)	Loss 4.5217 (4.5884)	Prec@1 8.984 (8.247)	Prec@5 27.344 (24.423)
Epoch: [30][3320/7045]	Time 0.099 (0.257)	Data 0.001 (0.193)	Loss 4.5106 (4.5880)	Prec@1 10.156 (8.254)	Prec@5 28.125 (24.431)
Epoch: [30][3330/7045]	Time 0.635 (0.257)	Data 0.580 (0.193)	Loss 4.6533 (4.5879)	Prec@1 6.250 (8.254)	Prec@5 23.047 (24.435)
Epoch: [30][3340/7045]	Time 0.224 (0.257)	Data 0.173 (0.193)	Loss 4.3549 (4.5874)	Prec@1 12.891 (8.259)	Prec@5 30.859 (24.446)
Epoch: [30][3350/7045]	Time 0.188 (0.257)	Data 0.137 (0.193)	Loss 4.3760 (4.5868)	Prec@1 10.156 (8.264)	Prec@5 31.250 (24.459)
Epoch: [30][3360/7045]	Time 0.100 (0.257)	Data 0.010 (0.193)	Loss 4.5128 (4.5863)	Prec@1 8.984 (8.270)	Prec@5 25.000 (24.469)
Epoch: [30][3370/7045]	Time 0.104 (0.257)	Data 0.001 (0.193)	Loss 4.5422 (4.5860)	Prec@1 8.984 (8.274)	Prec@5 28.516 (24.479)
Epoch: [30][3380/7045]	Time 0.102 (0.257)	Data 0.005 (0.193)	Loss 4.3428 (4.5856)	Prec@1 9.375 (8.277)	Prec@5 29.688 (24.483)
Epoch: [30][3390/7045]	Time 0.115 (0.257)	Data 0.063 (0.193)	Loss 4.3857 (4.5851)	Prec@1 12.109 (8.284)	Prec@5 29.297 (24.496)
Epoch: [30][3400/7045]	Time 0.222 (0.257)	Data 0.170 (0.193)	Loss 4.4455 (4.5846)	Prec@1 9.375 (8.289)	Prec@5 27.734 (24.506)
Epoch: [30][3410/7045]	Time 0.558 (0.257)	Data 0.507 (0.193)	Loss 4.4161 (4.5842)	Prec@1 14.453 (8.293)	Prec@5 28.906 (24.517)
Epoch: [30][3420/7045]	Time 0.159 (0.257)	Data 0.108 (0.193)	Loss 4.3251 (4.5839)	Prec@1 12.891 (8.297)	Prec@5 27.734 (24.522)
Epoch: [30][3430/7045]	Time 0.394 (0.257)	Data 0.343 (0.193)	Loss 4.4456 (4.5835)	Prec@1 9.766 (8.301)	Prec@5 30.859 (24.530)
Epoch: [30][3440/7045]	Time 0.290 (0.257)	Data 0.229 (0.193)	Loss 4.4417 (4.5832)	Prec@1 10.156 (8.303)	Prec@5 28.125 (24.532)
Epoch: [30][3450/7045]	Time 0.102 (0.257)	Data 0.047 (0.193)	Loss 4.6574 (4.5828)	Prec@1 7.422 (8.307)	Prec@5 25.000 (24.541)
Epoch: [30][3460/7045]	Time 0.123 (0.257)	Data 0.072 (0.193)	Loss 4.5342 (4.5825)	Prec@1 7.031 (8.309)	Prec@5 25.781 (24.546)
Epoch: [30][3470/7045]	Time 0.101 (0.257)	Data 0.005 (0.193)	Loss 4.2329 (4.5821)	Prec@1 11.719 (8.314)	Prec@5 31.250 (24.553)
Epoch: [30][3480/7045]	Time 0.102 (0.257)	Data 0.001 (0.193)	Loss 4.4696 (4.5818)	Prec@1 10.156 (8.320)	Prec@5 25.000 (24.559)
Epoch: [30][3490/7045]	Time 0.109 (0.257)	Data 0.058 (0.193)	Loss 4.6078 (4.5816)	Prec@1 10.156 (8.322)	Prec@5 25.781 (24.564)
Epoch: [30][3500/7045]	Time 0.163 (0.257)	Data 0.111 (0.193)	Loss 4.5252 (4.5813)	Prec@1 10.156 (8.328)	Prec@5 27.344 (24.573)
Epoch: [30][3510/7045]	Time 0.212 (0.257)	Data 0.161 (0.193)	Loss 4.3163 (4.5808)	Prec@1 10.156 (8.334)	Prec@5 29.297 (24.585)
Epoch: [30][3520/7045]	Time 0.108 (0.257)	Data 0.056 (0.193)	Loss 4.4469 (4.5804)	Prec@1 11.719 (8.339)	Prec@5 26.172 (24.591)
Epoch: [30][3530/7045]	Time 0.325 (0.257)	Data 0.275 (0.193)	Loss 4.4726 (4.5800)	Prec@1 10.156 (8.344)	Prec@5 28.906 (24.599)
Epoch: [30][3540/7045]	Time 0.102 (0.257)	Data 0.001 (0.193)	Loss 4.2225 (4.5795)	Prec@1 13.672 (8.349)	Prec@5 30.469 (24.609)
Epoch: [30][3550/7045]	Time 0.136 (0.257)	Data 0.085 (0.193)	Loss 4.4827 (4.5791)	Prec@1 8.594 (8.351)	Prec@5 26.953 (24.617)
Epoch: [30][3560/7045]	Time 0.102 (0.257)	Data 0.012 (0.193)	Loss 4.5932 (4.5787)	Prec@1 9.375 (8.354)	Prec@5 27.344 (24.628)
Epoch: [30][3570/7045]	Time 0.108 (0.257)	Data 0.001 (0.193)	Loss 4.4992 (4.5782)	Prec@1 7.031 (8.357)	Prec@5 26.562 (24.636)
Epoch: [30][3580/7045]	Time 0.102 (0.257)	Data 0.001 (0.193)	Loss 4.6255 (4.5779)	Prec@1 10.156 (8.361)	Prec@5 26.172 (24.645)
Epoch: [30][3590/7045]	Time 0.100 (0.257)	Data 0.010 (0.193)	Loss 4.4056 (4.5774)	Prec@1 11.719 (8.367)	Prec@5 28.125 (24.657)
Epoch: [30][3600/7045]	Time 0.438 (0.257)	Data 0.387 (0.193)	Loss 4.5085 (4.5769)	Prec@1 8.594 (8.371)	Prec@5 28.516 (24.666)
Epoch: [30][3610/7045]	Time 0.102 (0.257)	Data 0.001 (0.193)	Loss 4.4543 (4.5766)	Prec@1 7.422 (8.375)	Prec@5 28.125 (24.677)
Epoch: [30][3620/7045]	Time 0.355 (0.257)	Data 0.302 (0.193)	Loss 4.5518 (4.5764)	Prec@1 8.594 (8.378)	Prec@5 26.562 (24.682)
Epoch: [30][3630/7045]	Time 0.101 (0.257)	Data 0.001 (0.193)	Loss 4.4601 (4.5760)	Prec@1 10.547 (8.380)	Prec@5 26.953 (24.689)
Epoch: [30][3640/7045]	Time 0.282 (0.257)	Data 0.231 (0.193)	Loss 4.4799 (4.5757)	Prec@1 10.156 (8.383)	Prec@5 24.219 (24.694)
Epoch: [30][3650/7045]	Time 0.161 (0.257)	Data 0.110 (0.193)	Loss 4.5502 (4.5754)	Prec@1 10.156 (8.387)	Prec@5 25.000 (24.700)
Epoch: [30][3660/7045]	Time 0.183 (0.257)	Data 0.132 (0.193)	Loss 4.4363 (4.5751)	Prec@1 11.328 (8.391)	Prec@5 26.562 (24.707)
Epoch: [30][3670/7045]	Time 0.101 (0.257)	Data 0.001 (0.193)	Loss 4.5590 (4.5747)	Prec@1 8.203 (8.398)	Prec@5 23.047 (24.719)
Epoch: [30][3680/7045]	Time 0.249 (0.257)	Data 0.199 (0.192)	Loss 4.4819 (4.5744)	Prec@1 10.156 (8.401)	Prec@5 26.562 (24.724)
Epoch: [30][3690/7045]	Time 0.175 (0.257)	Data 0.123 (0.192)	Loss 4.4523 (4.5740)	Prec@1 11.328 (8.407)	Prec@5 32.031 (24.734)
Epoch: [30][3700/7045]	Time 0.146 (0.257)	Data 0.095 (0.192)	Loss 4.3827 (4.5736)	Prec@1 6.641 (8.408)	Prec@5 25.781 (24.743)
Epoch: [30][3710/7045]	Time 0.102 (0.257)	Data 0.001 (0.192)	Loss 4.6285 (4.5733)	Prec@1 7.422 (8.411)	Prec@5 23.438 (24.749)
Epoch: [30][3720/7045]	Time 0.102 (0.257)	Data 0.021 (0.192)	Loss 4.4259 (4.5729)	Prec@1 9.375 (8.413)	Prec@5 26.172 (24.757)
Epoch: [30][3730/7045]	Time 0.352 (0.257)	Data 0.301 (0.193)	Loss 4.4330 (4.5725)	Prec@1 11.719 (8.420)	Prec@5 28.125 (24.765)
Epoch: [30][3740/7045]	Time 0.110 (0.257)	Data 0.058 (0.192)	Loss 4.7393 (4.5725)	Prec@1 7.031 (8.419)	Prec@5 20.312 (24.765)
Epoch: [30][3750/7045]	Time 0.287 (0.257)	Data 0.225 (0.192)	Loss 4.3419 (4.5721)	Prec@1 11.719 (8.423)	Prec@5 27.734 (24.773)
Epoch: [30][3760/7045]	Time 0.102 (0.257)	Data 0.001 (0.192)	Loss 4.5429 (4.5717)	Prec@1 8.203 (8.429)	Prec@5 20.703 (24.782)
Epoch: [30][3770/7045]	Time 0.275 (0.257)	Data 0.224 (0.192)	Loss 4.4438 (4.5713)	Prec@1 11.719 (8.435)	Prec@5 26.953 (24.793)
Epoch: [30][3780/7045]	Time 0.104 (0.257)	Data 0.052 (0.192)	Loss 4.4316 (4.5708)	Prec@1 9.766 (8.441)	Prec@5 28.516 (24.802)
Epoch: [30][3790/7045]	Time 0.111 (0.257)	Data 0.058 (0.192)	Loss 4.3075 (4.5705)	Prec@1 12.500 (8.444)	Prec@5 32.422 (24.808)
Epoch: [30][3800/7045]	Time 0.201 (0.257)	Data 0.150 (0.192)	Loss 4.4313 (4.5702)	Prec@1 8.203 (8.447)	Prec@5 26.562 (24.815)
Epoch: [30][3810/7045]	Time 0.183 (0.256)	Data 0.132 (0.192)	Loss 4.4169 (4.5698)	Prec@1 9.766 (8.452)	Prec@5 31.250 (24.821)
Epoch: [30][3820/7045]	Time 0.105 (0.256)	Data 0.054 (0.192)	Loss 4.4960 (4.5694)	Prec@1 9.766 (8.457)	Prec@5 28.125 (24.830)
Epoch: [30][3830/7045]	Time 0.112 (0.256)	Data 0.060 (0.192)	Loss 4.4410 (4.5691)	Prec@1 8.594 (8.460)	Prec@5 24.219 (24.837)
Epoch: [30][3840/7045]	Time 0.296 (0.256)	Data 0.236 (0.192)	Loss 4.4856 (4.5687)	Prec@1 9.375 (8.464)	Prec@5 22.656 (24.847)
Epoch: [30][3850/7045]	Time 0.102 (0.256)	Data 0.001 (0.192)	Loss 4.2425 (4.5683)	Prec@1 13.672 (8.469)	Prec@5 29.297 (24.860)
Epoch: [30][3860/7045]	Time 0.439 (0.256)	Data 0.386 (0.192)	Loss 4.4743 (4.5679)	Prec@1 9.375 (8.470)	Prec@5 26.953 (24.865)
Epoch: [30][3870/7045]	Time 0.101 (0.256)	Data 0.015 (0.192)	Loss 4.5019 (4.5676)	Prec@1 8.203 (8.470)	Prec@5 23.828 (24.873)
Epoch: [30][3880/7045]	Time 0.474 (0.256)	Data 0.422 (0.192)	Loss 4.5625 (4.5674)	Prec@1 9.766 (8.473)	Prec@5 22.656 (24.877)
Epoch: [30][3890/7045]	Time 0.101 (0.256)	Data 0.011 (0.192)	Loss 4.3001 (4.5672)	Prec@1 10.156 (8.476)	Prec@5 32.031 (24.883)
Epoch: [30][3900/7045]	Time 0.194 (0.256)	Data 0.144 (0.192)	Loss 4.3637 (4.5668)	Prec@1 10.547 (8.479)	Prec@5 30.078 (24.892)
Epoch: [30][3910/7045]	Time 0.222 (0.256)	Data 0.170 (0.192)	Loss 4.4050 (4.5664)	Prec@1 10.547 (8.485)	Prec@5 31.250 (24.905)
Epoch: [30][3920/7045]	Time 0.186 (0.256)	Data 0.135 (0.192)	Loss 4.3648 (4.5659)	Prec@1 9.375 (8.489)	Prec@5 31.641 (24.915)
Epoch: [30][3930/7045]	Time 0.178 (0.256)	Data 0.126 (0.192)	Loss 4.5322 (4.5655)	Prec@1 10.156 (8.494)	Prec@5 27.734 (24.924)
Epoch: [30][3940/7045]	Time 0.302 (0.256)	Data 0.250 (0.192)	Loss 4.2134 (4.5650)	Prec@1 11.328 (8.500)	Prec@5 30.469 (24.934)
Epoch: [30][3950/7045]	Time 0.100 (0.256)	Data 0.011 (0.192)	Loss 4.4605 (4.5646)	Prec@1 8.203 (8.503)	Prec@5 25.781 (24.942)
Epoch: [30][3960/7045]	Time 0.485 (0.256)	Data 0.434 (0.192)	Loss 4.2891 (4.5643)	Prec@1 10.938 (8.506)	Prec@5 31.641 (24.950)
Epoch: [30][3970/7045]	Time 0.101 (0.256)	Data 0.014 (0.192)	Loss 4.5271 (4.5639)	Prec@1 10.547 (8.509)	Prec@5 25.391 (24.956)
Epoch: [30][3980/7045]	Time 0.405 (0.256)	Data 0.354 (0.192)	Loss 4.6732 (4.5635)	Prec@1 8.984 (8.515)	Prec@5 22.266 (24.964)
Epoch: [30][3990/7045]	Time 0.100 (0.256)	Data 0.004 (0.192)	Loss 4.4495 (4.5632)	Prec@1 9.375 (8.517)	Prec@5 28.125 (24.970)
Epoch: [30][4000/7045]	Time 0.175 (0.256)	Data 0.124 (0.192)	Loss 4.4973 (4.5628)	Prec@1 10.547 (8.520)	Prec@5 25.000 (24.975)
Epoch: [30][4010/7045]	Time 0.204 (0.256)	Data 0.152 (0.192)	Loss 4.4520 (4.5626)	Prec@1 5.859 (8.525)	Prec@5 25.781 (24.980)
Epoch: [30][4020/7045]	Time 0.125 (0.256)	Data 0.073 (0.192)	Loss 4.3508 (4.5621)	Prec@1 9.375 (8.530)	Prec@5 30.859 (24.989)
Epoch: [30][4030/7045]	Time 0.208 (0.256)	Data 0.157 (0.192)	Loss 4.2988 (4.5616)	Prec@1 9.375 (8.535)	Prec@5 32.031 (24.999)
Epoch: [30][4040/7045]	Time 0.104 (0.256)	Data 0.052 (0.192)	Loss 4.3733 (4.5612)	Prec@1 10.547 (8.540)	Prec@5 31.250 (25.012)
Epoch: [30][4050/7045]	Time 0.400 (0.256)	Data 0.348 (0.192)	Loss 4.5022 (4.5608)	Prec@1 5.469 (8.545)	Prec@5 25.391 (25.018)
Epoch: [30][4060/7045]	Time 0.466 (0.256)	Data 0.405 (0.192)	Loss 4.3971 (4.5603)	Prec@1 8.594 (8.548)	Prec@5 27.734 (25.027)
Epoch: [30][4070/7045]	Time 0.108 (0.256)	Data 0.056 (0.192)	Loss 4.3291 (4.5600)	Prec@1 11.719 (8.551)	Prec@5 30.469 (25.035)
Epoch: [30][4080/7045]	Time 0.311 (0.256)	Data 0.260 (0.192)	Loss 4.3131 (4.5597)	Prec@1 10.938 (8.554)	Prec@5 27.734 (25.038)
Epoch: [30][4090/7045]	Time 0.180 (0.256)	Data 0.128 (0.192)	Loss 4.4196 (4.5596)	Prec@1 12.500 (8.557)	Prec@5 28.516 (25.043)
Epoch: [30][4100/7045]	Time 0.259 (0.256)	Data 0.208 (0.192)	Loss 4.5707 (4.5593)	Prec@1 9.375 (8.560)	Prec@5 30.078 (25.051)
Epoch: [30][4110/7045]	Time 0.102 (0.256)	Data 0.001 (0.193)	Loss 4.5769 (4.5590)	Prec@1 12.109 (8.562)	Prec@5 28.516 (25.057)
Epoch: [30][4120/7045]	Time 0.520 (0.256)	Data 0.468 (0.193)	Loss 4.2472 (4.5586)	Prec@1 11.328 (8.568)	Prec@5 32.031 (25.066)
Epoch: [30][4130/7045]	Time 0.107 (0.256)	Data 0.009 (0.192)	Loss 4.2453 (4.5583)	Prec@1 11.328 (8.572)	Prec@5 29.688 (25.075)
Epoch: [30][4140/7045]	Time 0.172 (0.256)	Data 0.120 (0.192)	Loss 4.3556 (4.5578)	Prec@1 10.547 (8.576)	Prec@5 27.734 (25.082)
Epoch: [30][4150/7045]	Time 0.118 (0.256)	Data 0.057 (0.192)	Loss 4.5176 (4.5574)	Prec@1 7.812 (8.581)	Prec@5 24.219 (25.093)
Epoch: [30][4160/7045]	Time 0.101 (0.256)	Data 0.001 (0.192)	Loss 4.5013 (4.5571)	Prec@1 9.766 (8.582)	Prec@5 28.906 (25.099)
Epoch: [30][4170/7045]	Time 0.106 (0.256)	Data 0.054 (0.192)	Loss 4.5419 (4.5569)	Prec@1 11.719 (8.586)	Prec@5 28.125 (25.105)
Epoch: [30][4180/7045]	Time 0.102 (0.256)	Data 0.050 (0.192)	Loss 4.4460 (4.5565)	Prec@1 12.891 (8.591)	Prec@5 26.953 (25.113)
Epoch: [30][4190/7045]	Time 0.176 (0.256)	Data 0.125 (0.192)	Loss 4.4438 (4.5560)	Prec@1 6.641 (8.597)	Prec@5 28.125 (25.125)
Epoch: [30][4200/7045]	Time 0.112 (0.256)	Data 0.025 (0.192)	Loss 4.4086 (4.5556)	Prec@1 10.938 (8.601)	Prec@5 28.125 (25.134)
Epoch: [30][4210/7045]	Time 0.489 (0.256)	Data 0.438 (0.192)	Loss 4.3929 (4.5552)	Prec@1 11.328 (8.605)	Prec@5 29.688 (25.142)
Epoch: [30][4220/7045]	Time 0.368 (0.256)	Data 0.317 (0.192)	Loss 4.4111 (4.5550)	Prec@1 11.328 (8.607)	Prec@5 26.172 (25.146)
Epoch: [30][4230/7045]	Time 0.162 (0.256)	Data 0.109 (0.192)	Loss 4.3424 (4.5546)	Prec@1 8.203 (8.612)	Prec@5 29.297 (25.157)
Epoch: [30][4240/7045]	Time 0.298 (0.256)	Data 0.247 (0.192)	Loss 4.3606 (4.5541)	Prec@1 13.672 (8.618)	Prec@5 29.688 (25.165)
Epoch: [30][4250/7045]	Time 0.101 (0.256)	Data 0.009 (0.192)	Loss 4.4420 (4.5538)	Prec@1 11.328 (8.622)	Prec@5 27.734 (25.173)
Epoch: [30][4260/7045]	Time 0.306 (0.256)	Data 0.246 (0.192)	Loss 4.4795 (4.5534)	Prec@1 12.500 (8.626)	Prec@5 24.219 (25.180)
Epoch: [30][4270/7045]	Time 0.111 (0.256)	Data 0.058 (0.192)	Loss 4.2883 (4.5531)	Prec@1 13.672 (8.629)	Prec@5 29.688 (25.188)
Epoch: [30][4280/7045]	Time 0.272 (0.256)	Data 0.221 (0.192)	Loss 4.4278 (4.5528)	Prec@1 9.766 (8.630)	Prec@5 26.953 (25.193)
Epoch: [30][4290/7045]	Time 0.116 (0.256)	Data 0.064 (0.192)	Loss 4.5262 (4.5524)	Prec@1 8.984 (8.635)	Prec@5 27.344 (25.201)
Epoch: [30][4300/7045]	Time 0.101 (0.256)	Data 0.047 (0.192)	Loss 4.3473 (4.5521)	Prec@1 11.719 (8.639)	Prec@5 28.906 (25.209)
Epoch: [30][4310/7045]	Time 0.128 (0.256)	Data 0.077 (0.192)	Loss 4.4117 (4.5518)	Prec@1 12.500 (8.643)	Prec@5 30.859 (25.213)
Epoch: [30][4320/7045]	Time 0.102 (0.256)	Data 0.001 (0.192)	Loss 4.3227 (4.5514)	Prec@1 12.109 (8.648)	Prec@5 28.906 (25.225)
Epoch: [30][4330/7045]	Time 0.109 (0.256)	Data 0.057 (0.192)	Loss 4.3772 (4.5510)	Prec@1 10.938 (8.652)	Prec@5 29.297 (25.234)
Epoch: [30][4340/7045]	Time 0.102 (0.256)	Data 0.001 (0.192)	Loss 4.4261 (4.5507)	Prec@1 8.984 (8.654)	Prec@5 25.781 (25.240)
Epoch: [30][4350/7045]	Time 0.250 (0.256)	Data 0.199 (0.192)	Loss 4.5520 (4.5502)	Prec@1 9.375 (8.658)	Prec@5 25.391 (25.249)
Epoch: [30][4360/7045]	Time 0.143 (0.256)	Data 0.091 (0.192)	Loss 4.2771 (4.5500)	Prec@1 10.938 (8.661)	Prec@5 34.766 (25.256)
Epoch: [30][4370/7045]	Time 0.425 (0.256)	Data 0.367 (0.192)	Loss 4.3067 (4.5496)	Prec@1 14.844 (8.665)	Prec@5 32.422 (25.264)
Epoch: [30][4380/7045]	Time 0.101 (0.256)	Data 0.001 (0.192)	Loss 4.1487 (4.5493)	Prec@1 10.938 (8.669)	Prec@5 32.422 (25.272)
Epoch: [30][4390/7045]	Time 0.267 (0.256)	Data 0.217 (0.192)	Loss 4.3694 (4.5489)	Prec@1 10.938 (8.674)	Prec@5 29.688 (25.281)
Epoch: [30][4400/7045]	Time 0.186 (0.256)	Data 0.135 (0.192)	Loss 4.3874 (4.5485)	Prec@1 12.500 (8.679)	Prec@5 31.641 (25.290)
Epoch: [30][4410/7045]	Time 0.275 (0.256)	Data 0.226 (0.192)	Loss 4.1178 (4.5482)	Prec@1 14.062 (8.683)	Prec@5 33.984 (25.299)
Epoch: [30][4420/7045]	Time 0.295 (0.256)	Data 0.244 (0.192)	Loss 4.4818 (4.5478)	Prec@1 8.984 (8.688)	Prec@5 25.781 (25.308)
Epoch: [30][4430/7045]	Time 0.101 (0.256)	Data 0.018 (0.192)	Loss 4.4699 (4.5475)	Prec@1 6.250 (8.690)	Prec@5 28.516 (25.316)
Epoch: [30][4440/7045]	Time 0.273 (0.256)	Data 0.222 (0.192)	Loss 4.3844 (4.5471)	Prec@1 12.109 (8.694)	Prec@5 30.859 (25.321)
Epoch: [30][4450/7045]	Time 0.101 (0.256)	Data 0.010 (0.192)	Loss 4.3769 (4.5469)	Prec@1 11.719 (8.696)	Prec@5 27.734 (25.325)
Epoch: [30][4460/7045]	Time 0.376 (0.256)	Data 0.317 (0.192)	Loss 4.2672 (4.5465)	Prec@1 13.281 (8.700)	Prec@5 32.422 (25.332)
Epoch: [30][4470/7045]	Time 0.184 (0.256)	Data 0.132 (0.192)	Loss 4.5141 (4.5463)	Prec@1 10.156 (8.703)	Prec@5 25.781 (25.336)
Epoch: [30][4480/7045]	Time 0.575 (0.256)	Data 0.515 (0.192)	Loss 4.1730 (4.5458)	Prec@1 12.500 (8.708)	Prec@5 33.594 (25.346)
Epoch: [30][4490/7045]	Time 0.102 (0.256)	Data 0.050 (0.192)	Loss 4.4366 (4.5455)	Prec@1 10.547 (8.710)	Prec@5 28.125 (25.353)
Epoch: [30][4500/7045]	Time 0.520 (0.256)	Data 0.460 (0.192)	Loss 4.2893 (4.5451)	Prec@1 14.453 (8.716)	Prec@5 32.812 (25.366)
Epoch: [30][4510/7045]	Time 0.265 (0.256)	Data 0.215 (0.192)	Loss 4.2866 (4.5447)	Prec@1 9.766 (8.720)	Prec@5 32.422 (25.372)
Epoch: [30][4520/7045]	Time 0.410 (0.256)	Data 0.350 (0.192)	Loss 4.4206 (4.5444)	Prec@1 8.984 (8.723)	Prec@5 28.516 (25.379)
Epoch: [30][4530/7045]	Time 0.101 (0.256)	Data 0.010 (0.192)	Loss 4.4820 (4.5441)	Prec@1 7.031 (8.725)	Prec@5 25.000 (25.387)
Epoch: [30][4540/7045]	Time 0.469 (0.256)	Data 0.417 (0.192)	Loss 4.3565 (4.5437)	Prec@1 11.328 (8.729)	Prec@5 27.344 (25.396)
Epoch: [30][4550/7045]	Time 0.130 (0.256)	Data 0.079 (0.192)	Loss 4.3739 (4.5434)	Prec@1 9.375 (8.733)	Prec@5 30.859 (25.402)
Epoch: [30][4560/7045]	Time 0.446 (0.256)	Data 0.395 (0.192)	Loss 4.3839 (4.5430)	Prec@1 9.375 (8.735)	Prec@5 25.391 (25.409)
Epoch: [30][4570/7045]	Time 0.102 (0.256)	Data 0.009 (0.192)	Loss 4.2898 (4.5425)	Prec@1 12.891 (8.736)	Prec@5 33.594 (25.418)
Epoch: [30][4580/7045]	Time 0.362 (0.256)	Data 0.310 (0.192)	Loss 4.5670 (4.5422)	Prec@1 7.812 (8.738)	Prec@5 25.000 (25.422)
Epoch: [30][4590/7045]	Time 0.154 (0.256)	Data 0.103 (0.192)	Loss 4.4358 (4.5419)	Prec@1 8.594 (8.744)	Prec@5 26.172 (25.432)
Epoch: [30][4600/7045]	Time 0.267 (0.256)	Data 0.216 (0.192)	Loss 4.3633 (4.5414)	Prec@1 10.547 (8.748)	Prec@5 28.516 (25.442)
Epoch: [30][4610/7045]	Time 0.103 (0.256)	Data 0.001 (0.192)	Loss 4.3817 (4.5412)	Prec@1 11.328 (8.751)	Prec@5 30.469 (25.448)
Epoch: [30][4620/7045]	Time 0.101 (0.256)	Data 0.044 (0.192)	Loss 4.2715 (4.5408)	Prec@1 10.938 (8.755)	Prec@5 28.125 (25.454)
Epoch: [30][4630/7045]	Time 0.100 (0.256)	Data 0.001 (0.192)	Loss 4.3835 (4.5405)	Prec@1 9.766 (8.759)	Prec@5 32.031 (25.464)
Epoch: [30][4640/7045]	Time 0.643 (0.256)	Data 0.591 (0.192)	Loss 4.4438 (4.5403)	Prec@1 11.328 (8.761)	Prec@5 27.734 (25.467)
Epoch: [30][4650/7045]	Time 0.214 (0.256)	Data 0.155 (0.192)	Loss 4.5912 (4.5401)	Prec@1 8.203 (8.764)	Prec@5 25.391 (25.472)
Epoch: [30][4660/7045]	Time 0.505 (0.256)	Data 0.454 (0.192)	Loss 4.1972 (4.5397)	Prec@1 13.281 (8.768)	Prec@5 32.031 (25.479)
Epoch: [30][4670/7045]	Time 0.109 (0.256)	Data 0.001 (0.192)	Loss 4.2742 (4.5395)	Prec@1 8.594 (8.770)	Prec@5 32.422 (25.486)
Epoch: [30][4680/7045]	Time 0.806 (0.256)	Data 0.754 (0.192)	Loss 4.4045 (4.5392)	Prec@1 11.328 (8.774)	Prec@5 29.297 (25.493)
Epoch: [30][4690/7045]	Time 0.141 (0.256)	Data 0.089 (0.192)	Loss 4.3834 (4.5389)	Prec@1 11.719 (8.779)	Prec@5 26.562 (25.499)
Epoch: [30][4700/7045]	Time 0.163 (0.256)	Data 0.111 (0.192)	Loss 4.5591 (4.5385)	Prec@1 8.594 (8.781)	Prec@5 28.906 (25.507)
Epoch: [30][4710/7045]	Time 0.203 (0.256)	Data 0.151 (0.192)	Loss 4.3565 (4.5382)	Prec@1 10.156 (8.784)	Prec@5 31.250 (25.514)
Epoch: [30][4720/7045]	Time 0.110 (0.256)	Data 0.058 (0.192)	Loss 4.4258 (4.5378)	Prec@1 8.203 (8.787)	Prec@5 28.125 (25.521)
Epoch: [30][4730/7045]	Time 0.145 (0.256)	Data 0.095 (0.192)	Loss 4.2473 (4.5374)	Prec@1 10.547 (8.792)	Prec@5 30.469 (25.532)
Epoch: [30][4740/7045]	Time 0.223 (0.256)	Data 0.171 (0.192)	Loss 4.2234 (4.5370)	Prec@1 14.062 (8.796)	Prec@5 30.078 (25.539)
Epoch: [30][4750/7045]	Time 0.245 (0.256)	Data 0.193 (0.192)	Loss 4.3072 (4.5367)	Prec@1 12.891 (8.800)	Prec@5 31.250 (25.547)
Epoch: [30][4760/7045]	Time 0.123 (0.256)	Data 0.070 (0.192)	Loss 4.2631 (4.5362)	Prec@1 11.719 (8.804)	Prec@5 36.328 (25.558)
Epoch: [30][4770/7045]	Time 0.101 (0.256)	Data 0.017 (0.192)	Loss 4.5092 (4.5359)	Prec@1 7.031 (8.805)	Prec@5 30.078 (25.565)
Epoch: [30][4780/7045]	Time 0.362 (0.256)	Data 0.311 (0.192)	Loss 4.5808 (4.5356)	Prec@1 8.203 (8.808)	Prec@5 26.953 (25.569)
Epoch: [30][4790/7045]	Time 0.252 (0.256)	Data 0.201 (0.192)	Loss 4.2039 (4.5354)	Prec@1 12.109 (8.810)	Prec@5 33.203 (25.573)
Epoch: [30][4800/7045]	Time 0.121 (0.256)	Data 0.061 (0.192)	Loss 4.1916 (4.5350)	Prec@1 11.719 (8.814)	Prec@5 33.203 (25.580)
Epoch: [30][4810/7045]	Time 0.364 (0.256)	Data 0.313 (0.192)	Loss 4.0626 (4.5347)	Prec@1 14.844 (8.815)	Prec@5 37.109 (25.588)
Epoch: [30][4820/7045]	Time 0.100 (0.256)	Data 0.011 (0.192)	Loss 4.3451 (4.5345)	Prec@1 8.984 (8.818)	Prec@5 25.000 (25.593)
Epoch: [30][4830/7045]	Time 0.469 (0.256)	Data 0.417 (0.192)	Loss 4.2233 (4.5342)	Prec@1 9.766 (8.821)	Prec@5 32.031 (25.599)
Epoch: [30][4840/7045]	Time 0.264 (0.256)	Data 0.214 (0.192)	Loss 4.2412 (4.5338)	Prec@1 13.281 (8.824)	Prec@5 32.812 (25.609)
Epoch: [30][4850/7045]	Time 0.281 (0.256)	Data 0.230 (0.192)	Loss 4.3236 (4.5336)	Prec@1 11.719 (8.827)	Prec@5 33.594 (25.614)
Epoch: [30][4860/7045]	Time 0.255 (0.256)	Data 0.204 (0.192)	Loss 4.2585 (4.5333)	Prec@1 12.500 (8.831)	Prec@5 32.031 (25.621)
Epoch: [30][4870/7045]	Time 0.109 (0.256)	Data 0.001 (0.192)	Loss 4.1453 (4.5329)	Prec@1 10.547 (8.833)	Prec@5 32.031 (25.629)
Epoch: [30][4880/7045]	Time 0.746 (0.256)	Data 0.686 (0.192)	Loss 4.4331 (4.5326)	Prec@1 8.594 (8.836)	Prec@5 23.047 (25.632)
Epoch: [30][4890/7045]	Time 0.102 (0.256)	Data 0.009 (0.192)	Loss 4.2990 (4.5323)	Prec@1 14.062 (8.841)	Prec@5 31.250 (25.640)
Epoch: [30][4900/7045]	Time 0.646 (0.256)	Data 0.594 (0.192)	Loss 4.4035 (4.5321)	Prec@1 10.938 (8.843)	Prec@5 29.297 (25.648)
Epoch: [30][4910/7045]	Time 0.154 (0.256)	Data 0.093 (0.192)	Loss 4.3349 (4.5316)	Prec@1 11.328 (8.848)	Prec@5 26.953 (25.657)
Epoch: [30][4920/7045]	Time 0.287 (0.256)	Data 0.236 (0.192)	Loss 4.5291 (4.5314)	Prec@1 8.594 (8.851)	Prec@5 26.172 (25.663)
Epoch: [30][4930/7045]	Time 0.108 (0.256)	Data 0.057 (0.192)	Loss 4.3699 (4.5311)	Prec@1 8.984 (8.854)	Prec@5 28.516 (25.667)
Epoch: [30][4940/7045]	Time 0.311 (0.256)	Data 0.259 (0.192)	Loss 4.4419 (4.5309)	Prec@1 9.375 (8.857)	Prec@5 26.953 (25.672)
Epoch: [30][4950/7045]	Time 0.104 (0.256)	Data 0.052 (0.192)	Loss 4.3116 (4.5306)	Prec@1 12.109 (8.861)	Prec@5 31.250 (25.679)
Epoch: [30][4960/7045]	Time 0.250 (0.256)	Data 0.200 (0.192)	Loss 4.2978 (4.5302)	Prec@1 10.938 (8.865)	Prec@5 32.031 (25.689)
Epoch: [30][4970/7045]	Time 0.222 (0.256)	Data 0.164 (0.192)	Loss 4.2779 (4.5300)	Prec@1 12.891 (8.868)	Prec@5 31.250 (25.694)
Epoch: [30][4980/7045]	Time 0.106 (0.256)	Data 0.054 (0.192)	Loss 4.3585 (4.5296)	Prec@1 10.156 (8.871)	Prec@5 27.344 (25.701)
Epoch: [30][4990/7045]	Time 0.312 (0.256)	Data 0.261 (0.192)	Loss 4.2748 (4.5293)	Prec@1 10.156 (8.874)	Prec@5 30.078 (25.708)
Epoch: [30][5000/7045]	Time 0.234 (0.256)	Data 0.184 (0.192)	Loss 4.3863 (4.5290)	Prec@1 10.938 (8.877)	Prec@5 30.469 (25.716)
Epoch: [30][5010/7045]	Time 0.196 (0.256)	Data 0.144 (0.192)	Loss 4.3931 (4.5287)	Prec@1 9.766 (8.881)	Prec@5 26.172 (25.723)
Epoch: [30][5020/7045]	Time 0.332 (0.256)	Data 0.280 (0.192)	Loss 4.3991 (4.5284)	Prec@1 11.328 (8.885)	Prec@5 28.125 (25.729)
Epoch: [30][5030/7045]	Time 0.175 (0.256)	Data 0.123 (0.192)	Loss 4.3352 (4.5281)	Prec@1 10.156 (8.887)	Prec@5 29.297 (25.736)
Epoch: [30][5040/7045]	Time 0.542 (0.256)	Data 0.491 (0.192)	Loss 4.5256 (4.5278)	Prec@1 14.062 (8.891)	Prec@5 27.734 (25.742)
Epoch: [30][5050/7045]	Time 0.535 (0.256)	Data 0.483 (0.192)	Loss 4.4658 (4.5276)	Prec@1 11.719 (8.896)	Prec@5 25.000 (25.750)
Epoch: [30][5060/7045]	Time 0.124 (0.256)	Data 0.072 (0.192)	Loss 4.2815 (4.5273)	Prec@1 9.375 (8.900)	Prec@5 32.812 (25.757)
Epoch: [30][5070/7045]	Time 0.579 (0.256)	Data 0.528 (0.192)	Loss 4.3676 (4.5269)	Prec@1 10.156 (8.901)	Prec@5 27.344 (25.764)
Epoch: [30][5080/7045]	Time 0.100 (0.256)	Data 0.010 (0.192)	Loss 4.2907 (4.5266)	Prec@1 10.547 (8.906)	Prec@5 32.812 (25.770)
Epoch: [30][5090/7045]	Time 0.505 (0.256)	Data 0.453 (0.192)	Loss 4.2981 (4.5262)	Prec@1 13.281 (8.913)	Prec@5 32.812 (25.779)
Epoch: [30][5100/7045]	Time 0.285 (0.256)	Data 0.234 (0.192)	Loss 4.3295 (4.5260)	Prec@1 9.766 (8.914)	Prec@5 28.906 (25.784)
Epoch: [30][5110/7045]	Time 0.652 (0.256)	Data 0.601 (0.192)	Loss 4.4828 (4.5257)	Prec@1 8.203 (8.915)	Prec@5 21.094 (25.786)
Epoch: [30][5120/7045]	Time 0.100 (0.256)	Data 0.007 (0.192)	Loss 4.4471 (4.5253)	Prec@1 9.375 (8.919)	Prec@5 26.562 (25.794)
Epoch: [30][5130/7045]	Time 0.492 (0.256)	Data 0.441 (0.192)	Loss 4.4774 (4.5250)	Prec@1 8.984 (8.922)	Prec@5 30.078 (25.800)
Epoch: [30][5140/7045]	Time 0.107 (0.256)	Data 0.001 (0.192)	Loss 4.2279 (4.5247)	Prec@1 12.500 (8.927)	Prec@5 30.859 (25.809)
Epoch: [30][5150/7045]	Time 0.447 (0.256)	Data 0.396 (0.192)	Loss 4.3974 (4.5243)	Prec@1 10.547 (8.930)	Prec@5 24.609 (25.815)
Epoch: [30][5160/7045]	Time 0.148 (0.256)	Data 0.097 (0.192)	Loss 4.3636 (4.5239)	Prec@1 11.719 (8.935)	Prec@5 30.859 (25.821)
Epoch: [30][5170/7045]	Time 0.102 (0.256)	Data 0.001 (0.192)	Loss 4.5292 (4.5236)	Prec@1 9.375 (8.938)	Prec@5 26.953 (25.828)
Epoch: [30][5180/7045]	Time 0.102 (0.256)	Data 0.018 (0.192)	Loss 4.3671 (4.5233)	Prec@1 7.422 (8.941)	Prec@5 27.344 (25.834)
Epoch: [30][5190/7045]	Time 0.460 (0.256)	Data 0.409 (0.192)	Loss 4.3876 (4.5231)	Prec@1 10.156 (8.942)	Prec@5 28.125 (25.839)
Epoch: [30][5200/7045]	Time 0.299 (0.256)	Data 0.248 (0.192)	Loss 4.2545 (4.5228)	Prec@1 12.109 (8.946)	Prec@5 28.906 (25.843)
Epoch: [30][5210/7045]	Time 0.356 (0.256)	Data 0.304 (0.192)	Loss 4.4218 (4.5224)	Prec@1 13.672 (8.949)	Prec@5 35.156 (25.854)
Epoch: [30][5220/7045]	Time 0.109 (0.256)	Data 0.012 (0.192)	Loss 4.5227 (4.5221)	Prec@1 8.203 (8.952)	Prec@5 27.344 (25.862)
Epoch: [30][5230/7045]	Time 0.255 (0.256)	Data 0.204 (0.192)	Loss 4.2098 (4.5217)	Prec@1 13.281 (8.958)	Prec@5 32.422 (25.869)
Epoch: [30][5240/7045]	Time 0.101 (0.256)	Data 0.005 (0.192)	Loss 4.3185 (4.5214)	Prec@1 12.500 (8.962)	Prec@5 30.078 (25.874)
Epoch: [30][5250/7045]	Time 0.103 (0.256)	Data 0.001 (0.192)	Loss 4.4498 (4.5213)	Prec@1 9.766 (8.963)	Prec@5 27.734 (25.877)
Epoch: [30][5260/7045]	Time 0.111 (0.256)	Data 0.059 (0.192)	Loss 4.4392 (4.5210)	Prec@1 9.766 (8.965)	Prec@5 26.172 (25.883)
Epoch: [30][5270/7045]	Time 0.122 (0.256)	Data 0.072 (0.192)	Loss 4.4377 (4.5206)	Prec@1 10.547 (8.970)	Prec@5 29.688 (25.891)
Epoch: [30][5280/7045]	Time 0.100 (0.256)	Data 0.018 (0.192)	Loss 4.2924 (4.5204)	Prec@1 12.891 (8.975)	Prec@5 32.031 (25.897)
Epoch: [30][5290/7045]	Time 0.109 (0.256)	Data 0.001 (0.192)	Loss 4.3701 (4.5200)	Prec@1 8.984 (8.980)	Prec@5 28.906 (25.908)
Epoch: [30][5300/7045]	Time 0.104 (0.256)	Data 0.001 (0.192)	Loss 4.2653 (4.5197)	Prec@1 10.547 (8.982)	Prec@5 30.859 (25.916)
Epoch: [30][5310/7045]	Time 0.244 (0.256)	Data 0.184 (0.192)	Loss 4.4995 (4.5195)	Prec@1 10.156 (8.984)	Prec@5 28.906 (25.920)
Epoch: [30][5320/7045]	Time 0.359 (0.256)	Data 0.307 (0.192)	Loss 4.2973 (4.5191)	Prec@1 12.109 (8.987)	Prec@5 35.547 (25.929)
Epoch: [30][5330/7045]	Time 0.102 (0.256)	Data 0.001 (0.192)	Loss 4.1979 (4.5189)	Prec@1 10.938 (8.990)	Prec@5 33.984 (25.935)
Epoch: [30][5340/7045]	Time 0.316 (0.256)	Data 0.264 (0.192)	Loss 4.4337 (4.5187)	Prec@1 13.672 (8.992)	Prec@5 29.297 (25.938)
Epoch: [30][5350/7045]	Time 0.264 (0.256)	Data 0.213 (0.192)	Loss 4.4445 (4.5183)	Prec@1 10.547 (8.994)	Prec@5 28.125 (25.948)
Epoch: [30][5360/7045]	Time 0.236 (0.256)	Data 0.186 (0.192)	Loss 4.3753 (4.5180)	Prec@1 8.203 (8.997)	Prec@5 26.172 (25.953)
Epoch: [30][5370/7045]	Time 0.101 (0.256)	Data 0.026 (0.192)	Loss 4.5675 (4.5178)	Prec@1 7.812 (9.001)	Prec@5 23.828 (25.957)
Epoch: [30][5380/7045]	Time 0.114 (0.256)	Data 0.060 (0.192)	Loss 4.2923 (4.5176)	Prec@1 11.328 (9.002)	Prec@5 30.859 (25.961)
Epoch: [30][5390/7045]	Time 0.113 (0.256)	Data 0.001 (0.192)	Loss 4.3473 (4.5174)	Prec@1 12.500 (9.004)	Prec@5 27.344 (25.966)
Epoch: [30][5400/7045]	Time 0.800 (0.256)	Data 0.748 (0.192)	Loss 4.1557 (4.5171)	Prec@1 14.453 (9.009)	Prec@5 33.984 (25.974)
Epoch: [30][5410/7045]	Time 0.096 (0.256)	Data 0.001 (0.192)	Loss 4.3064 (4.5167)	Prec@1 8.984 (9.012)	Prec@5 26.562 (25.981)
Epoch: [30][5420/7045]	Time 0.611 (0.256)	Data 0.559 (0.192)	Loss 4.3575 (4.5164)	Prec@1 12.500 (9.016)	Prec@5 29.297 (25.987)
Epoch: [30][5430/7045]	Time 0.101 (0.256)	Data 0.001 (0.192)	Loss 4.3428 (4.5161)	Prec@1 8.203 (9.019)	Prec@5 26.172 (25.994)
Epoch: [30][5440/7045]	Time 0.646 (0.256)	Data 0.588 (0.192)	Loss 4.2910 (4.5157)	Prec@1 12.500 (9.024)	Prec@5 30.469 (26.001)
Epoch: [30][5450/7045]	Time 0.314 (0.256)	Data 0.263 (0.192)	Loss 4.2793 (4.5155)	Prec@1 11.328 (9.027)	Prec@5 31.250 (26.005)
Epoch: [30][5460/7045]	Time 0.365 (0.256)	Data 0.308 (0.192)	Loss 4.3996 (4.5151)	Prec@1 10.547 (9.032)	Prec@5 27.344 (26.014)
Epoch: [30][5470/7045]	Time 0.357 (0.256)	Data 0.305 (0.192)	Loss 4.2993 (4.5149)	Prec@1 12.109 (9.036)	Prec@5 32.031 (26.022)
Epoch: [30][5480/7045]	Time 0.221 (0.256)	Data 0.168 (0.192)	Loss 4.3082 (4.5145)	Prec@1 11.328 (9.041)	Prec@5 29.688 (26.031)
Epoch: [30][5490/7045]	Time 0.101 (0.256)	Data 0.002 (0.192)	Loss 4.5056 (4.5142)	Prec@1 11.328 (9.044)	Prec@5 28.516 (26.038)
Epoch: [30][5500/7045]	Time 0.163 (0.256)	Data 0.112 (0.192)	Loss 4.5681 (4.5140)	Prec@1 8.203 (9.047)	Prec@5 23.047 (26.042)
Epoch: [30][5510/7045]	Time 0.153 (0.256)	Data 0.100 (0.192)	Loss 4.1908 (4.5137)	Prec@1 13.672 (9.049)	Prec@5 32.812 (26.049)
Epoch: [30][5520/7045]	Time 0.435 (0.256)	Data 0.384 (0.192)	Loss 4.2975 (4.5135)	Prec@1 9.766 (9.052)	Prec@5 28.516 (26.051)
Epoch: [30][5530/7045]	Time 0.199 (0.256)	Data 0.149 (0.192)	Loss 4.3737 (4.5132)	Prec@1 9.766 (9.055)	Prec@5 28.516 (26.055)
Epoch: [30][5540/7045]	Time 0.243 (0.256)	Data 0.191 (0.192)	Loss 4.3508 (4.5129)	Prec@1 9.766 (9.057)	Prec@5 28.906 (26.062)
Epoch: [30][5550/7045]	Time 0.134 (0.256)	Data 0.083 (0.192)	Loss 4.2987 (4.5126)	Prec@1 12.109 (9.060)	Prec@5 32.812 (26.068)
Epoch: [30][5560/7045]	Time 0.146 (0.256)	Data 0.095 (0.192)	Loss 4.5634 (4.5124)	Prec@1 7.031 (9.061)	Prec@5 26.172 (26.073)
Epoch: [30][5570/7045]	Time 0.112 (0.256)	Data 0.020 (0.192)	Loss 4.3710 (4.5122)	Prec@1 11.719 (9.063)	Prec@5 33.984 (26.079)
Epoch: [30][5580/7045]	Time 0.103 (0.256)	Data 0.051 (0.192)	Loss 4.4869 (4.5119)	Prec@1 8.984 (9.067)	Prec@5 26.953 (26.085)
Epoch: [30][5590/7045]	Time 0.102 (0.256)	Data 0.013 (0.192)	Loss 4.2609 (4.5115)	Prec@1 11.328 (9.071)	Prec@5 29.297 (26.094)
Epoch: [30][5600/7045]	Time 0.351 (0.256)	Data 0.301 (0.192)	Loss 4.3510 (4.5113)	Prec@1 8.203 (9.073)	Prec@5 28.906 (26.100)
Epoch: [30][5610/7045]	Time 0.193 (0.256)	Data 0.142 (0.192)	Loss 4.2420 (4.5109)	Prec@1 12.109 (9.076)	Prec@5 34.375 (26.107)
Epoch: [30][5620/7045]	Time 0.269 (0.256)	Data 0.219 (0.192)	Loss 4.2069 (4.5106)	Prec@1 12.109 (9.079)	Prec@5 31.250 (26.115)
Epoch: [30][5630/7045]	Time 0.366 (0.256)	Data 0.311 (0.192)	Loss 4.2879 (4.5103)	Prec@1 12.109 (9.083)	Prec@5 32.031 (26.123)
Epoch: [30][5640/7045]	Time 0.169 (0.256)	Data 0.117 (0.192)	Loss 4.5070 (4.5099)	Prec@1 10.156 (9.087)	Prec@5 25.781 (26.131)
Epoch: [30][5650/7045]	Time 0.751 (0.256)	Data 0.699 (0.192)	Loss 4.3245 (4.5095)	Prec@1 9.766 (9.090)	Prec@5 28.125 (26.140)
Epoch: [30][5660/7045]	Time 0.167 (0.256)	Data 0.115 (0.192)	Loss 4.3703 (4.5092)	Prec@1 11.719 (9.094)	Prec@5 26.172 (26.146)
Epoch: [30][5670/7045]	Time 0.455 (0.256)	Data 0.404 (0.192)	Loss 4.3715 (4.5090)	Prec@1 8.984 (9.095)	Prec@5 27.344 (26.152)
Epoch: [30][5680/7045]	Time 0.462 (0.256)	Data 0.410 (0.192)	Loss 4.3318 (4.5087)	Prec@1 7.812 (9.098)	Prec@5 29.297 (26.159)
Epoch: [30][5690/7045]	Time 0.207 (0.256)	Data 0.156 (0.192)	Loss 4.4531 (4.5085)	Prec@1 9.766 (9.100)	Prec@5 26.953 (26.163)
Epoch: [30][5700/7045]	Time 0.725 (0.256)	Data 0.673 (0.192)	Loss 4.2811 (4.5083)	Prec@1 14.062 (9.105)	Prec@5 33.594 (26.170)
Epoch: [30][5710/7045]	Time 0.120 (0.256)	Data 0.069 (0.192)	Loss 4.4841 (4.5080)	Prec@1 8.984 (9.108)	Prec@5 25.000 (26.176)
Epoch: [30][5720/7045]	Time 0.263 (0.256)	Data 0.213 (0.192)	Loss 4.2957 (4.5077)	Prec@1 10.938 (9.112)	Prec@5 31.641 (26.182)
Epoch: [30][5730/7045]	Time 0.231 (0.256)	Data 0.179 (0.192)	Loss 4.3533 (4.5075)	Prec@1 11.328 (9.115)	Prec@5 28.125 (26.185)
Epoch: [30][5740/7045]	Time 0.567 (0.256)	Data 0.516 (0.192)	Loss 4.2659 (4.5072)	Prec@1 11.328 (9.118)	Prec@5 31.641 (26.191)
Epoch: [30][5750/7045]	Time 0.299 (0.256)	Data 0.247 (0.192)	Loss 4.1994 (4.5068)	Prec@1 13.281 (9.122)	Prec@5 32.812 (26.200)
Epoch: [30][5760/7045]	Time 0.269 (0.256)	Data 0.217 (0.192)	Loss 4.1664 (4.5064)	Prec@1 13.281 (9.124)	Prec@5 35.547 (26.208)
Epoch: [30][5770/7045]	Time 0.193 (0.256)	Data 0.142 (0.192)	Loss 4.4054 (4.5060)	Prec@1 9.766 (9.127)	Prec@5 31.250 (26.216)
Epoch: [30][5780/7045]	Time 0.532 (0.256)	Data 0.479 (0.192)	Loss 4.2748 (4.5056)	Prec@1 11.719 (9.131)	Prec@5 32.031 (26.225)
Epoch: [30][5790/7045]	Time 0.372 (0.256)	Data 0.321 (0.192)	Loss 4.5677 (4.5053)	Prec@1 6.641 (9.134)	Prec@5 25.000 (26.230)
Epoch: [30][5800/7045]	Time 0.308 (0.256)	Data 0.256 (0.192)	Loss 4.2754 (4.5050)	Prec@1 10.547 (9.136)	Prec@5 34.375 (26.237)
Epoch: [30][5810/7045]	Time 0.101 (0.256)	Data 0.001 (0.192)	Loss 4.3426 (4.5048)	Prec@1 12.109 (9.138)	Prec@5 30.469 (26.242)
Epoch: [30][5820/7045]	Time 0.114 (0.256)	Data 0.062 (0.192)	Loss 4.3874 (4.5045)	Prec@1 12.109 (9.142)	Prec@5 29.297 (26.249)
Epoch: [30][5830/7045]	Time 0.136 (0.256)	Data 0.081 (0.192)	Loss 4.3454 (4.5042)	Prec@1 9.766 (9.145)	Prec@5 30.078 (26.255)
Epoch: [30][5840/7045]	Time 0.111 (0.256)	Data 0.027 (0.192)	Loss 4.2850 (4.5039)	Prec@1 11.328 (9.148)	Prec@5 29.297 (26.260)
Epoch: [30][5850/7045]	Time 0.458 (0.256)	Data 0.407 (0.192)	Loss 4.2419 (4.5037)	Prec@1 12.891 (9.150)	Prec@5 30.469 (26.264)
Epoch: [30][5860/7045]	Time 0.310 (0.256)	Data 0.260 (0.192)	Loss 4.4457 (4.5034)	Prec@1 7.031 (9.152)	Prec@5 26.562 (26.269)
Epoch: [30][5870/7045]	Time 0.456 (0.256)	Data 0.405 (0.192)	Loss 4.3202 (4.5031)	Prec@1 10.938 (9.156)	Prec@5 29.688 (26.278)
Epoch: [30][5880/7045]	Time 0.162 (0.256)	Data 0.110 (0.192)	Loss 4.2078 (4.5029)	Prec@1 11.328 (9.158)	Prec@5 32.031 (26.283)
Epoch: [30][5890/7045]	Time 0.198 (0.256)	Data 0.148 (0.192)	Loss 4.5240 (4.5027)	Prec@1 9.766 (9.160)	Prec@5 21.094 (26.286)
Epoch: [30][5900/7045]	Time 0.101 (0.256)	Data 0.007 (0.192)	Loss 4.2906 (4.5023)	Prec@1 11.719 (9.164)	Prec@5 28.906 (26.294)
Epoch: [30][5910/7045]	Time 0.101 (0.256)	Data 0.010 (0.192)	Loss 4.5237 (4.5021)	Prec@1 8.203 (9.165)	Prec@5 25.391 (26.299)
Epoch: [30][5920/7045]	Time 0.153 (0.256)	Data 0.102 (0.192)	Loss 4.3004 (4.5018)	Prec@1 8.203 (9.168)	Prec@5 30.078 (26.305)
Epoch: [30][5930/7045]	Time 0.102 (0.256)	Data 0.050 (0.192)	Loss 4.1705 (4.5015)	Prec@1 11.719 (9.169)	Prec@5 31.641 (26.310)
Epoch: [30][5940/7045]	Time 0.102 (0.256)	Data 0.014 (0.192)	Loss 4.4068 (4.5013)	Prec@1 10.938 (9.173)	Prec@5 29.688 (26.317)
Epoch: [30][5950/7045]	Time 0.099 (0.256)	Data 0.001 (0.192)	Loss 4.2452 (4.5009)	Prec@1 11.719 (9.175)	Prec@5 28.906 (26.322)
Epoch: [30][5960/7045]	Time 0.109 (0.256)	Data 0.058 (0.192)	Loss 4.2958 (4.5007)	Prec@1 9.375 (9.178)	Prec@5 31.641 (26.329)
Epoch: [30][5970/7045]	Time 0.101 (0.256)	Data 0.048 (0.192)	Loss 4.2841 (4.5004)	Prec@1 9.375 (9.181)	Prec@5 29.688 (26.335)
Epoch: [30][5980/7045]	Time 0.274 (0.256)	Data 0.223 (0.192)	Loss 4.2903 (4.5000)	Prec@1 12.109 (9.184)	Prec@5 33.203 (26.343)
Epoch: [30][5990/7045]	Time 0.101 (0.256)	Data 0.013 (0.192)	Loss 4.2163 (4.4998)	Prec@1 13.672 (9.187)	Prec@5 31.641 (26.347)
Epoch: [30][6000/7045]	Time 0.291 (0.256)	Data 0.240 (0.192)	Loss 4.4910 (4.4996)	Prec@1 10.156 (9.190)	Prec@5 25.391 (26.351)
Epoch: [30][6010/7045]	Time 0.110 (0.256)	Data 0.058 (0.192)	Loss 4.3468 (4.4992)	Prec@1 10.547 (9.192)	Prec@5 27.344 (26.359)
Epoch: [30][6020/7045]	Time 0.271 (0.256)	Data 0.221 (0.192)	Loss 4.2913 (4.4989)	Prec@1 11.328 (9.197)	Prec@5 35.547 (26.368)
Epoch: [30][6030/7045]	Time 0.101 (0.256)	Data 0.014 (0.192)	Loss 4.2545 (4.4986)	Prec@1 13.281 (9.200)	Prec@5 30.859 (26.373)
Epoch: [30][6040/7045]	Time 0.380 (0.256)	Data 0.328 (0.192)	Loss 4.2067 (4.4983)	Prec@1 12.891 (9.204)	Prec@5 32.031 (26.379)
Epoch: [30][6050/7045]	Time 0.102 (0.256)	Data 0.001 (0.192)	Loss 4.2643 (4.4981)	Prec@1 9.766 (9.207)	Prec@5 27.734 (26.386)
Epoch: [30][6060/7045]	Time 0.439 (0.256)	Data 0.388 (0.192)	Loss 4.2363 (4.4978)	Prec@1 10.938 (9.210)	Prec@5 35.156 (26.394)
Epoch: [30][6070/7045]	Time 0.101 (0.256)	Data 0.009 (0.192)	Loss 4.2866 (4.4975)	Prec@1 7.422 (9.212)	Prec@5 30.859 (26.402)
Epoch: [30][6080/7045]	Time 0.583 (0.256)	Data 0.524 (0.192)	Loss 4.2975 (4.4972)	Prec@1 13.281 (9.218)	Prec@5 27.734 (26.409)
Epoch: [30][6090/7045]	Time 0.099 (0.256)	Data 0.048 (0.192)	Loss 4.3198 (4.4968)	Prec@1 9.766 (9.222)	Prec@5 32.031 (26.418)
Epoch: [30][6100/7045]	Time 0.613 (0.256)	Data 0.562 (0.192)	Loss 4.2345 (4.4965)	Prec@1 9.375 (9.225)	Prec@5 32.422 (26.423)
Epoch: [30][6110/7045]	Time 0.131 (0.256)	Data 0.079 (0.192)	Loss 4.0918 (4.4962)	Prec@1 17.578 (9.231)	Prec@5 39.453 (26.432)
Epoch: [30][6120/7045]	Time 0.417 (0.256)	Data 0.366 (0.192)	Loss 4.2463 (4.4958)	Prec@1 9.375 (9.235)	Prec@5 32.422 (26.440)
Epoch: [30][6130/7045]	Time 0.120 (0.256)	Data 0.057 (0.192)	Loss 4.2737 (4.4955)	Prec@1 11.328 (9.239)	Prec@5 31.250 (26.445)
Epoch: [30][6140/7045]	Time 0.347 (0.256)	Data 0.295 (0.192)	Loss 4.2380 (4.4953)	Prec@1 14.062 (9.241)	Prec@5 32.812 (26.449)
Epoch: [30][6150/7045]	Time 0.477 (0.256)	Data 0.427 (0.192)	Loss 4.4282 (4.4950)	Prec@1 11.328 (9.246)	Prec@5 27.734 (26.458)
Epoch: [30][6160/7045]	Time 0.197 (0.256)	Data 0.146 (0.192)	Loss 4.3232 (4.4947)	Prec@1 12.109 (9.249)	Prec@5 28.516 (26.465)
Epoch: [30][6170/7045]	Time 0.573 (0.256)	Data 0.512 (0.192)	Loss 4.1892 (4.4944)	Prec@1 11.719 (9.252)	Prec@5 33.594 (26.471)
Epoch: [30][6180/7045]	Time 0.109 (0.256)	Data 0.015 (0.192)	Loss 4.4537 (4.4941)	Prec@1 8.984 (9.254)	Prec@5 27.734 (26.479)
Epoch: [30][6190/7045]	Time 0.496 (0.256)	Data 0.443 (0.192)	Loss 4.3833 (4.4939)	Prec@1 8.203 (9.256)	Prec@5 31.250 (26.484)
Epoch: [30][6200/7045]	Time 0.098 (0.256)	Data 0.001 (0.192)	Loss 4.2869 (4.4937)	Prec@1 12.109 (9.259)	Prec@5 33.594 (26.490)
Epoch: [30][6210/7045]	Time 0.569 (0.256)	Data 0.516 (0.192)	Loss 4.2285 (4.4934)	Prec@1 12.891 (9.262)	Prec@5 32.812 (26.495)
Epoch: [30][6220/7045]	Time 0.102 (0.256)	Data 0.007 (0.192)	Loss 4.2725 (4.4932)	Prec@1 12.500 (9.266)	Prec@5 32.812 (26.502)
Epoch: [30][6230/7045]	Time 0.649 (0.256)	Data 0.596 (0.192)	Loss 4.3415 (4.4928)	Prec@1 10.938 (9.268)	Prec@5 31.250 (26.509)
Epoch: [30][6240/7045]	Time 0.102 (0.256)	Data 0.001 (0.192)	Loss 4.2401 (4.4924)	Prec@1 13.281 (9.273)	Prec@5 30.078 (26.518)
Epoch: [30][6250/7045]	Time 0.670 (0.256)	Data 0.620 (0.192)	Loss 4.3466 (4.4921)	Prec@1 9.766 (9.276)	Prec@5 28.125 (26.525)
Epoch: [30][6260/7045]	Time 0.102 (0.256)	Data 0.002 (0.192)	Loss 4.3469 (4.4919)	Prec@1 8.203 (9.278)	Prec@5 28.516 (26.529)
Epoch: [30][6270/7045]	Time 0.668 (0.256)	Data 0.603 (0.192)	Loss 4.2245 (4.4917)	Prec@1 10.547 (9.280)	Prec@5 32.812 (26.533)
Epoch: [30][6280/7045]	Time 0.112 (0.256)	Data 0.006 (0.192)	Loss 4.2777 (4.4914)	Prec@1 13.672 (9.284)	Prec@5 30.078 (26.541)
Epoch: [30][6290/7045]	Time 0.264 (0.256)	Data 0.214 (0.192)	Loss 4.4668 (4.4911)	Prec@1 7.812 (9.285)	Prec@5 25.781 (26.546)
Epoch: [30][6300/7045]	Time 0.101 (0.256)	Data 0.006 (0.192)	Loss 4.4135 (4.4908)	Prec@1 7.812 (9.287)	Prec@5 25.000 (26.550)
Epoch: [30][6310/7045]	Time 0.102 (0.255)	Data 0.007 (0.192)	Loss 4.3593 (4.4906)	Prec@1 11.328 (9.289)	Prec@5 26.953 (26.556)
Epoch: [30][6320/7045]	Time 0.102 (0.256)	Data 0.010 (0.192)	Loss 4.1730 (4.4903)	Prec@1 10.547 (9.292)	Prec@5 35.156 (26.562)
Epoch: [30][6330/7045]	Time 0.101 (0.255)	Data 0.014 (0.192)	Loss 4.4378 (4.4901)	Prec@1 7.812 (9.295)	Prec@5 30.469 (26.569)
Epoch: [30][6340/7045]	Time 0.157 (0.255)	Data 0.106 (0.192)	Loss 4.4032 (4.4897)	Prec@1 11.328 (9.299)	Prec@5 30.469 (26.576)
Epoch: [30][6350/7045]	Time 0.102 (0.255)	Data 0.001 (0.192)	Loss 4.2931 (4.4894)	Prec@1 8.594 (9.301)	Prec@5 28.125 (26.582)
Epoch: [30][6360/7045]	Time 0.218 (0.255)	Data 0.167 (0.192)	Loss 4.3454 (4.4892)	Prec@1 12.500 (9.304)	Prec@5 29.688 (26.588)
Epoch: [30][6370/7045]	Time 0.347 (0.255)	Data 0.288 (0.192)	Loss 4.4083 (4.4888)	Prec@1 8.984 (9.306)	Prec@5 28.125 (26.595)
Epoch: [30][6380/7045]	Time 0.188 (0.255)	Data 0.137 (0.192)	Loss 4.1953 (4.4885)	Prec@1 12.109 (9.310)	Prec@5 32.031 (26.604)
Epoch: [30][6390/7045]	Time 0.170 (0.255)	Data 0.119 (0.192)	Loss 4.3390 (4.4881)	Prec@1 9.375 (9.314)	Prec@5 31.250 (26.613)
Epoch: [30][6400/7045]	Time 0.229 (0.255)	Data 0.179 (0.192)	Loss 4.2515 (4.4878)	Prec@1 16.016 (9.320)	Prec@5 33.594 (26.621)
Epoch: [30][6410/7045]	Time 0.240 (0.255)	Data 0.189 (0.192)	Loss 4.1366 (4.4875)	Prec@1 10.938 (9.322)	Prec@5 32.031 (26.627)
Epoch: [30][6420/7045]	Time 0.611 (0.256)	Data 0.560 (0.192)	Loss 4.2116 (4.4872)	Prec@1 12.500 (9.325)	Prec@5 31.250 (26.633)
Epoch: [30][6430/7045]	Time 0.109 (0.255)	Data 0.001 (0.192)	Loss 4.0207 (4.4869)	Prec@1 11.719 (9.327)	Prec@5 34.375 (26.639)
Epoch: [30][6440/7045]	Time 0.330 (0.255)	Data 0.280 (0.192)	Loss 4.2849 (4.4865)	Prec@1 10.938 (9.332)	Prec@5 35.547 (26.649)
Epoch: [30][6450/7045]	Time 0.110 (0.255)	Data 0.059 (0.192)	Loss 4.4564 (4.4863)	Prec@1 11.328 (9.335)	Prec@5 30.469 (26.655)
Epoch: [30][6460/7045]	Time 0.601 (0.255)	Data 0.544 (0.192)	Loss 4.4684 (4.4860)	Prec@1 7.812 (9.336)	Prec@5 28.516 (26.662)
Epoch: [30][6470/7045]	Time 0.109 (0.255)	Data 0.011 (0.192)	Loss 4.4088 (4.4858)	Prec@1 10.547 (9.337)	Prec@5 30.469 (26.666)
Epoch: [30][6480/7045]	Time 0.322 (0.255)	Data 0.271 (0.192)	Loss 4.2205 (4.4855)	Prec@1 14.062 (9.341)	Prec@5 33.984 (26.672)
Epoch: [30][6490/7045]	Time 0.109 (0.255)	Data 0.021 (0.192)	Loss 4.3620 (4.4853)	Prec@1 8.594 (9.343)	Prec@5 30.469 (26.678)
Epoch: [30][6500/7045]	Time 0.111 (0.255)	Data 0.059 (0.192)	Loss 4.2281 (4.4850)	Prec@1 13.281 (9.346)	Prec@5 32.422 (26.684)
Epoch: [30][6510/7045]	Time 0.107 (0.255)	Data 0.012 (0.192)	Loss 4.2449 (4.4848)	Prec@1 14.453 (9.349)	Prec@5 32.031 (26.690)
Epoch: [30][6520/7045]	Time 0.101 (0.255)	Data 0.020 (0.191)	Loss 4.3170 (4.4846)	Prec@1 12.500 (9.351)	Prec@5 33.203 (26.694)
Epoch: [30][6530/7045]	Time 0.188 (0.255)	Data 0.136 (0.191)	Loss 4.2300 (4.4843)	Prec@1 9.766 (9.353)	Prec@5 30.859 (26.701)
Epoch: [30][6540/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 4.3857 (4.4840)	Prec@1 10.547 (9.356)	Prec@5 29.688 (26.708)
Epoch: [30][6550/7045]	Time 0.105 (0.255)	Data 0.053 (0.191)	Loss 4.5002 (4.4837)	Prec@1 10.938 (9.361)	Prec@5 27.344 (26.716)
Epoch: [30][6560/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 4.3614 (4.4834)	Prec@1 9.375 (9.364)	Prec@5 28.125 (26.721)
Epoch: [30][6570/7045]	Time 0.104 (0.255)	Data 0.053 (0.191)	Loss 4.2778 (4.4832)	Prec@1 10.547 (9.365)	Prec@5 30.469 (26.726)
Epoch: [30][6580/7045]	Time 0.282 (0.255)	Data 0.231 (0.191)	Loss 4.3379 (4.4829)	Prec@1 12.891 (9.370)	Prec@5 35.547 (26.734)
Epoch: [30][6590/7045]	Time 0.208 (0.255)	Data 0.158 (0.191)	Loss 4.3553 (4.4827)	Prec@1 13.281 (9.374)	Prec@5 28.906 (26.740)
Epoch: [30][6600/7045]	Time 0.475 (0.255)	Data 0.423 (0.191)	Loss 4.3585 (4.4825)	Prec@1 8.203 (9.376)	Prec@5 32.031 (26.745)
Epoch: [30][6610/7045]	Time 0.101 (0.255)	Data 0.001 (0.191)	Loss 4.2793 (4.4822)	Prec@1 9.375 (9.380)	Prec@5 27.734 (26.751)
Epoch: [30][6620/7045]	Time 0.242 (0.255)	Data 0.192 (0.191)	Loss 4.4592 (4.4819)	Prec@1 8.594 (9.382)	Prec@5 24.609 (26.756)
Epoch: [30][6630/7045]	Time 0.327 (0.255)	Data 0.277 (0.191)	Loss 4.4372 (4.4818)	Prec@1 10.547 (9.384)	Prec@5 31.250 (26.762)
Epoch: [30][6640/7045]	Time 0.258 (0.255)	Data 0.208 (0.191)	Loss 4.2025 (4.4814)	Prec@1 14.062 (9.388)	Prec@5 34.375 (26.771)
Epoch: [30][6650/7045]	Time 0.108 (0.255)	Data 0.056 (0.191)	Loss 4.3540 (4.4812)	Prec@1 11.328 (9.390)	Prec@5 29.688 (26.776)
Epoch: [30][6660/7045]	Time 0.620 (0.255)	Data 0.569 (0.191)	Loss 4.2469 (4.4809)	Prec@1 13.672 (9.392)	Prec@5 32.031 (26.782)
Epoch: [30][6670/7045]	Time 0.127 (0.255)	Data 0.076 (0.191)	Loss 4.3357 (4.4806)	Prec@1 9.766 (9.395)	Prec@5 30.859 (26.789)
Epoch: [30][6680/7045]	Time 0.112 (0.255)	Data 0.007 (0.191)	Loss 4.4174 (4.4803)	Prec@1 9.375 (9.396)	Prec@5 27.344 (26.795)
Epoch: [30][6690/7045]	Time 0.101 (0.255)	Data 0.001 (0.191)	Loss 4.4159 (4.4801)	Prec@1 12.109 (9.398)	Prec@5 28.906 (26.801)
Epoch: [30][6700/7045]	Time 0.367 (0.255)	Data 0.316 (0.191)	Loss 4.1760 (4.4798)	Prec@1 13.672 (9.402)	Prec@5 37.891 (26.809)
Epoch: [30][6710/7045]	Time 0.179 (0.255)	Data 0.118 (0.191)	Loss 4.2378 (4.4796)	Prec@1 12.891 (9.405)	Prec@5 32.422 (26.814)
Epoch: [30][6720/7045]	Time 0.449 (0.255)	Data 0.398 (0.191)	Loss 4.1852 (4.4792)	Prec@1 14.062 (9.408)	Prec@5 31.641 (26.821)
Epoch: [30][6730/7045]	Time 0.133 (0.255)	Data 0.073 (0.191)	Loss 4.3589 (4.4790)	Prec@1 8.203 (9.410)	Prec@5 26.953 (26.824)
Epoch: [30][6740/7045]	Time 0.656 (0.255)	Data 0.600 (0.191)	Loss 4.2180 (4.4787)	Prec@1 10.156 (9.413)	Prec@5 29.688 (26.832)
Epoch: [30][6750/7045]	Time 0.267 (0.255)	Data 0.216 (0.191)	Loss 4.3858 (4.4785)	Prec@1 11.328 (9.414)	Prec@5 32.031 (26.836)
Epoch: [30][6760/7045]	Time 0.582 (0.255)	Data 0.531 (0.191)	Loss 4.2739 (4.4781)	Prec@1 7.812 (9.417)	Prec@5 30.859 (26.843)
Epoch: [30][6770/7045]	Time 0.107 (0.255)	Data 0.054 (0.191)	Loss 4.3682 (4.4779)	Prec@1 11.328 (9.420)	Prec@5 29.297 (26.849)
Epoch: [30][6780/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 4.3047 (4.4777)	Prec@1 12.109 (9.423)	Prec@5 28.516 (26.854)
Epoch: [30][6790/7045]	Time 0.180 (0.255)	Data 0.129 (0.191)	Loss 4.2053 (4.4774)	Prec@1 14.062 (9.427)	Prec@5 36.328 (26.861)
Epoch: [30][6800/7045]	Time 0.286 (0.255)	Data 0.235 (0.191)	Loss 4.2968 (4.4773)	Prec@1 11.719 (9.428)	Prec@5 27.734 (26.865)
Epoch: [30][6810/7045]	Time 0.141 (0.255)	Data 0.089 (0.191)	Loss 4.2558 (4.4770)	Prec@1 12.109 (9.429)	Prec@5 27.734 (26.869)
Epoch: [30][6820/7045]	Time 0.179 (0.255)	Data 0.128 (0.191)	Loss 4.3092 (4.4768)	Prec@1 10.938 (9.432)	Prec@5 26.562 (26.872)
Epoch: [30][6830/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 4.3508 (4.4766)	Prec@1 5.859 (9.434)	Prec@5 31.641 (26.881)
Epoch: [30][6840/7045]	Time 0.109 (0.255)	Data 0.001 (0.191)	Loss 4.3984 (4.4765)	Prec@1 12.500 (9.435)	Prec@5 28.906 (26.885)
Epoch: [30][6850/7045]	Time 0.115 (0.255)	Data 0.064 (0.191)	Loss 4.4518 (4.4762)	Prec@1 8.984 (9.437)	Prec@5 25.391 (26.889)
Epoch: [30][6860/7045]	Time 0.435 (0.255)	Data 0.384 (0.191)	Loss 4.2469 (4.4760)	Prec@1 12.891 (9.439)	Prec@5 32.031 (26.894)
Epoch: [30][6870/7045]	Time 0.125 (0.255)	Data 0.073 (0.191)	Loss 4.0641 (4.4757)	Prec@1 17.188 (9.442)	Prec@5 36.328 (26.901)
Epoch: [30][6880/7045]	Time 0.426 (0.255)	Data 0.367 (0.191)	Loss 4.2910 (4.4754)	Prec@1 11.719 (9.445)	Prec@5 31.641 (26.905)
Epoch: [30][6890/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 4.3681 (4.4753)	Prec@1 7.812 (9.446)	Prec@5 26.562 (26.908)
Epoch: [30][6900/7045]	Time 0.107 (0.255)	Data 0.013 (0.191)	Loss 4.2363 (4.4750)	Prec@1 9.375 (9.449)	Prec@5 33.594 (26.914)
Epoch: [30][6910/7045]	Time 0.351 (0.255)	Data 0.301 (0.191)	Loss 4.2636 (4.4748)	Prec@1 12.500 (9.452)	Prec@5 28.516 (26.919)
Epoch: [30][6920/7045]	Time 0.216 (0.255)	Data 0.164 (0.191)	Loss 4.1092 (4.4745)	Prec@1 14.062 (9.455)	Prec@5 32.422 (26.926)
Epoch: [30][6930/7045]	Time 0.520 (0.255)	Data 0.469 (0.191)	Loss 4.4703 (4.4743)	Prec@1 12.109 (9.458)	Prec@5 29.688 (26.932)
Epoch: [30][6940/7045]	Time 0.337 (0.255)	Data 0.286 (0.191)	Loss 4.3088 (4.4740)	Prec@1 12.500 (9.461)	Prec@5 31.250 (26.939)
Epoch: [30][6950/7045]	Time 0.124 (0.255)	Data 0.072 (0.191)	Loss 4.4125 (4.4738)	Prec@1 10.156 (9.464)	Prec@5 27.734 (26.944)
Epoch: [30][6960/7045]	Time 0.802 (0.255)	Data 0.752 (0.191)	Loss 4.5409 (4.4736)	Prec@1 9.375 (9.466)	Prec@5 26.953 (26.950)
Epoch: [30][6970/7045]	Time 0.243 (0.255)	Data 0.192 (0.191)	Loss 4.3215 (4.4734)	Prec@1 12.500 (9.469)	Prec@5 32.031 (26.953)
Epoch: [30][6980/7045]	Time 0.272 (0.255)	Data 0.221 (0.191)	Loss 4.4223 (4.4732)	Prec@1 9.766 (9.471)	Prec@5 30.078 (26.959)
Epoch: [30][6990/7045]	Time 0.335 (0.255)	Data 0.284 (0.191)	Loss 4.4453 (4.4730)	Prec@1 9.766 (9.474)	Prec@5 26.172 (26.962)
Epoch: [30][7000/7045]	Time 0.167 (0.255)	Data 0.117 (0.191)	Loss 4.4768 (4.4728)	Prec@1 8.594 (9.476)	Prec@5 26.562 (26.967)
Epoch: [30][7010/7045]	Time 0.254 (0.255)	Data 0.203 (0.191)	Loss 4.3542 (4.4725)	Prec@1 12.500 (9.480)	Prec@5 28.906 (26.974)
Epoch: [30][7020/7045]	Time 0.108 (0.255)	Data 0.058 (0.191)	Loss 4.3621 (4.4722)	Prec@1 9.766 (9.483)	Prec@5 32.812 (26.979)
Epoch: [30][7030/7045]	Time 0.384 (0.255)	Data 0.333 (0.191)	Loss 4.2755 (4.4718)	Prec@1 9.375 (9.487)	Prec@5 28.125 (26.986)
Epoch: [30][7040/7045]	Time 0.324 (0.255)	Data 0.272 (0.191)	Loss 4.3535 (4.4717)	Prec@1 10.156 (9.489)	Prec@5 27.734 (26.989)
Test: [0/143]	Time 1.419 (1.419)	Loss 4.0561 (4.0561)	Prec@1 14.062 (14.062)	Prec@5 34.766 (34.766)
Test: [10/143]	Time 0.076 (0.264)	Loss 3.7777 (3.9990)	Prec@1 16.406 (13.991)	Prec@5 47.656 (38.317)
Test: [20/143]	Time 0.247 (0.231)	Loss 4.2729 (3.9322)	Prec@1 9.766 (15.272)	Prec@5 30.469 (39.769)
Test: [30/143]	Time 0.048 (0.220)	Loss 4.1646 (3.9456)	Prec@1 11.719 (15.486)	Prec@5 38.281 (39.340)
Test: [40/143]	Time 0.067 (0.207)	Loss 4.6370 (3.9571)	Prec@1 1.172 (15.835)	Prec@5 13.281 (38.739)
Test: [50/143]	Time 0.048 (0.206)	Loss 3.5785 (3.9956)	Prec@1 15.625 (14.989)	Prec@5 47.656 (37.523)
Test: [60/143]	Time 0.336 (0.204)	Loss 4.2917 (3.9748)	Prec@1 4.297 (15.599)	Prec@5 26.172 (38.332)
Test: [70/143]	Time 0.072 (0.204)	Loss 4.4461 (3.9776)	Prec@1 8.984 (15.548)	Prec@5 22.656 (38.188)
Test: [80/143]	Time 0.048 (0.199)	Loss 3.8309 (3.9810)	Prec@1 17.969 (15.577)	Prec@5 43.750 (38.175)
Test: [90/143]	Time 0.196 (0.199)	Loss 3.9645 (3.9708)	Prec@1 17.188 (15.719)	Prec@5 42.969 (38.522)
Test: [100/143]	Time 0.059 (0.197)	Loss 3.4523 (3.9638)	Prec@1 26.953 (15.613)	Prec@5 58.984 (38.896)
Test: [110/143]	Time 0.153 (0.197)	Loss 3.7997 (3.9554)	Prec@1 23.828 (16.033)	Prec@5 40.625 (39.084)
Test: [120/143]	Time 0.135 (0.197)	Loss 3.6919 (3.9410)	Prec@1 21.094 (16.510)	Prec@5 46.094 (39.534)
Test: [130/143]	Time 0.137 (0.195)	Loss 3.6655 (3.9430)	Prec@1 21.094 (16.421)	Prec@5 41.016 (39.396)
Test: [140/143]	Time 0.158 (0.195)	Loss 4.7338 (3.9597)	Prec@1 3.906 (16.149)	Prec@5 14.453 (38.974)
 * Prec@1 16.170 Prec@5 39.022
Epoch: [31][0/7045]	Time 2.696 (2.696)	Data 2.638 (2.638)	Loss 4.3849 (4.3849)	Prec@1 11.719 (11.719)	Prec@5 30.859 (30.859)
Epoch: [31][10/7045]	Time 0.159 (0.459)	Data 0.108 (0.392)	Loss 4.3895 (4.2943)	Prec@1 9.766 (11.754)	Prec@5 29.688 (31.605)
Epoch: [31][20/7045]	Time 0.317 (0.362)	Data 0.267 (0.291)	Loss 4.3636 (4.2893)	Prec@1 10.547 (11.458)	Prec@5 28.906 (30.971)
Epoch: [31][30/7045]	Time 0.177 (0.325)	Data 0.126 (0.256)	Loss 4.2965 (4.2788)	Prec@1 12.500 (11.517)	Prec@5 32.422 (31.489)
Epoch: [31][40/7045]	Time 0.206 (0.305)	Data 0.152 (0.239)	Loss 4.3512 (4.2814)	Prec@1 8.984 (11.519)	Prec@5 30.078 (31.421)
Epoch: [31][50/7045]	Time 0.497 (0.301)	Data 0.447 (0.236)	Loss 4.2298 (4.2856)	Prec@1 13.281 (11.489)	Prec@5 34.766 (31.227)
Epoch: [31][60/7045]	Time 0.101 (0.288)	Data 0.046 (0.222)	Loss 4.2251 (4.2764)	Prec@1 13.672 (11.507)	Prec@5 33.984 (31.352)
Epoch: [31][70/7045]	Time 0.514 (0.286)	Data 0.463 (0.221)	Loss 4.2784 (4.2798)	Prec@1 12.891 (11.548)	Prec@5 29.297 (31.316)
Epoch: [31][80/7045]	Time 0.111 (0.279)	Data 0.059 (0.215)	Loss 4.2407 (4.2786)	Prec@1 11.719 (11.651)	Prec@5 33.984 (31.395)
Epoch: [31][90/7045]	Time 0.230 (0.277)	Data 0.179 (0.214)	Loss 4.2334 (4.2751)	Prec@1 12.500 (11.800)	Prec@5 32.031 (31.512)
Epoch: [31][100/7045]	Time 0.426 (0.275)	Data 0.375 (0.212)	Loss 4.3826 (4.2734)	Prec@1 9.375 (11.719)	Prec@5 29.297 (31.467)
Epoch: [31][110/7045]	Time 0.102 (0.273)	Data 0.006 (0.209)	Loss 4.0258 (4.2753)	Prec@1 14.453 (11.722)	Prec@5 34.766 (31.444)
Epoch: [31][120/7045]	Time 0.658 (0.271)	Data 0.596 (0.208)	Loss 4.2282 (4.2736)	Prec@1 13.672 (11.780)	Prec@5 31.250 (31.447)
Epoch: [31][130/7045]	Time 0.101 (0.268)	Data 0.001 (0.203)	Loss 4.3381 (4.2724)	Prec@1 14.453 (11.832)	Prec@5 32.812 (31.509)
Epoch: [31][140/7045]	Time 0.580 (0.268)	Data 0.521 (0.202)	Loss 4.2720 (4.2735)	Prec@1 13.672 (11.805)	Prec@5 34.766 (31.508)
Epoch: [31][150/7045]	Time 0.161 (0.264)	Data 0.109 (0.199)	Loss 4.3174 (4.2755)	Prec@1 10.938 (11.783)	Prec@5 27.344 (31.421)
Epoch: [31][160/7045]	Time 0.314 (0.265)	Data 0.256 (0.200)	Loss 4.2058 (4.2786)	Prec@1 11.328 (11.745)	Prec@5 29.688 (31.352)
Epoch: [31][170/7045]	Time 0.225 (0.263)	Data 0.174 (0.199)	Loss 4.3471 (4.2790)	Prec@1 12.891 (11.742)	Prec@5 31.250 (31.355)
Epoch: [31][180/7045]	Time 0.242 (0.262)	Data 0.191 (0.198)	Loss 4.2503 (4.2771)	Prec@1 12.891 (11.792)	Prec@5 29.688 (31.414)
Epoch: [31][190/7045]	Time 0.671 (0.262)	Data 0.619 (0.200)	Loss 4.3078 (4.2747)	Prec@1 11.328 (11.844)	Prec@5 29.297 (31.463)
Epoch: [31][200/7045]	Time 0.100 (0.260)	Data 0.001 (0.197)	Loss 4.3062 (4.2757)	Prec@1 10.156 (11.833)	Prec@5 30.469 (31.407)
Epoch: [31][210/7045]	Time 0.530 (0.260)	Data 0.479 (0.196)	Loss 4.4728 (4.2764)	Prec@1 9.766 (11.782)	Prec@5 28.516 (31.348)
Epoch: [31][220/7045]	Time 0.305 (0.259)	Data 0.254 (0.196)	Loss 4.3198 (4.2753)	Prec@1 11.719 (11.798)	Prec@5 31.641 (31.363)
Epoch: [31][230/7045]	Time 0.363 (0.258)	Data 0.312 (0.195)	Loss 4.2949 (4.2770)	Prec@1 10.156 (11.736)	Prec@5 33.984 (31.355)
Epoch: [31][240/7045]	Time 0.138 (0.258)	Data 0.087 (0.195)	Loss 4.1434 (4.2758)	Prec@1 13.281 (11.772)	Prec@5 38.281 (31.393)
Epoch: [31][250/7045]	Time 0.244 (0.257)	Data 0.193 (0.195)	Loss 4.0452 (4.2743)	Prec@1 12.500 (11.787)	Prec@5 34.766 (31.443)
Epoch: [31][260/7045]	Time 0.107 (0.257)	Data 0.057 (0.195)	Loss 4.3233 (4.2733)	Prec@1 10.547 (11.792)	Prec@5 32.812 (31.488)
Epoch: [31][270/7045]	Time 0.107 (0.257)	Data 0.056 (0.194)	Loss 4.1746 (4.2725)	Prec@1 12.891 (11.811)	Prec@5 32.812 (31.509)
Epoch: [31][280/7045]	Time 0.126 (0.256)	Data 0.073 (0.194)	Loss 4.1880 (4.2726)	Prec@1 11.328 (11.809)	Prec@5 32.031 (31.509)
Epoch: [31][290/7045]	Time 0.101 (0.256)	Data 0.013 (0.193)	Loss 4.4138 (4.2746)	Prec@1 8.594 (11.794)	Prec@5 25.391 (31.449)
Epoch: [31][300/7045]	Time 0.124 (0.256)	Data 0.073 (0.193)	Loss 4.3547 (4.2735)	Prec@1 8.594 (11.808)	Prec@5 26.172 (31.458)
Epoch: [31][310/7045]	Time 0.146 (0.255)	Data 0.095 (0.193)	Loss 4.2629 (4.2733)	Prec@1 10.547 (11.815)	Prec@5 32.422 (31.487)
Epoch: [31][320/7045]	Time 0.187 (0.255)	Data 0.136 (0.193)	Loss 4.3124 (4.2732)	Prec@1 10.938 (11.806)	Prec@5 30.469 (31.448)
Epoch: [31][330/7045]	Time 0.109 (0.254)	Data 0.058 (0.193)	Loss 4.3898 (4.2732)	Prec@1 9.766 (11.810)	Prec@5 30.469 (31.465)
Epoch: [31][340/7045]	Time 0.217 (0.254)	Data 0.165 (0.193)	Loss 4.3366 (4.2738)	Prec@1 10.156 (11.792)	Prec@5 30.469 (31.441)
Epoch: [31][350/7045]	Time 0.241 (0.254)	Data 0.190 (0.193)	Loss 4.1986 (4.2745)	Prec@1 12.500 (11.796)	Prec@5 35.938 (31.468)
Epoch: [31][360/7045]	Time 0.099 (0.254)	Data 0.011 (0.193)	Loss 4.2267 (4.2730)	Prec@1 9.766 (11.828)	Prec@5 34.375 (31.549)
Epoch: [31][370/7045]	Time 0.371 (0.254)	Data 0.320 (0.193)	Loss 4.2242 (4.2722)	Prec@1 14.062 (11.821)	Prec@5 33.203 (31.533)
Epoch: [31][380/7045]	Time 0.101 (0.253)	Data 0.008 (0.192)	Loss 4.1959 (4.2719)	Prec@1 9.766 (11.813)	Prec@5 33.203 (31.535)
Epoch: [31][390/7045]	Time 0.461 (0.254)	Data 0.410 (0.192)	Loss 4.1846 (4.2722)	Prec@1 16.016 (11.834)	Prec@5 34.766 (31.564)
Epoch: [31][400/7045]	Time 0.151 (0.253)	Data 0.099 (0.192)	Loss 4.3556 (4.2725)	Prec@1 10.547 (11.837)	Prec@5 25.781 (31.573)
Epoch: [31][410/7045]	Time 0.102 (0.253)	Data 0.015 (0.192)	Loss 4.2386 (4.2717)	Prec@1 12.500 (11.842)	Prec@5 33.203 (31.583)
Epoch: [31][420/7045]	Time 0.101 (0.253)	Data 0.020 (0.192)	Loss 4.3069 (4.2713)	Prec@1 11.328 (11.863)	Prec@5 29.297 (31.607)
Epoch: [31][430/7045]	Time 0.185 (0.253)	Data 0.135 (0.192)	Loss 4.1831 (4.2716)	Prec@1 11.719 (11.876)	Prec@5 33.594 (31.569)
Epoch: [31][440/7045]	Time 0.102 (0.252)	Data 0.001 (0.191)	Loss 4.2444 (4.2719)	Prec@1 12.891 (11.868)	Prec@5 31.250 (31.548)
Epoch: [31][450/7045]	Time 0.470 (0.253)	Data 0.409 (0.191)	Loss 4.4120 (4.2710)	Prec@1 11.328 (11.874)	Prec@5 30.078 (31.575)
Epoch: [31][460/7045]	Time 0.301 (0.252)	Data 0.241 (0.191)	Loss 4.4281 (4.2718)	Prec@1 11.328 (11.860)	Prec@5 28.125 (31.568)
Epoch: [31][470/7045]	Time 0.401 (0.252)	Data 0.350 (0.191)	Loss 4.1975 (4.2714)	Prec@1 12.109 (11.868)	Prec@5 32.812 (31.574)
Epoch: [31][480/7045]	Time 0.356 (0.252)	Data 0.297 (0.191)	Loss 4.2070 (4.2694)	Prec@1 12.500 (11.900)	Prec@5 28.906 (31.585)
Epoch: [31][490/7045]	Time 0.408 (0.252)	Data 0.356 (0.191)	Loss 4.0523 (4.2684)	Prec@1 14.844 (11.920)	Prec@5 34.375 (31.620)
Epoch: [31][500/7045]	Time 0.192 (0.252)	Data 0.141 (0.191)	Loss 4.3265 (4.2678)	Prec@1 10.547 (11.900)	Prec@5 28.125 (31.603)
Epoch: [31][510/7045]	Time 0.539 (0.252)	Data 0.486 (0.191)	Loss 4.0789 (4.2661)	Prec@1 15.234 (11.924)	Prec@5 36.719 (31.638)
Epoch: [31][520/7045]	Time 0.101 (0.251)	Data 0.012 (0.191)	Loss 4.4179 (4.2659)	Prec@1 10.156 (11.929)	Prec@5 31.641 (31.632)
Epoch: [31][530/7045]	Time 0.489 (0.251)	Data 0.439 (0.191)	Loss 4.2248 (4.2644)	Prec@1 10.938 (11.953)	Prec@5 32.812 (31.678)
Epoch: [31][540/7045]	Time 0.101 (0.251)	Data 0.010 (0.190)	Loss 4.2074 (4.2636)	Prec@1 12.109 (11.969)	Prec@5 37.109 (31.696)
Epoch: [31][550/7045]	Time 0.645 (0.251)	Data 0.595 (0.191)	Loss 4.2730 (4.2636)	Prec@1 14.062 (11.986)	Prec@5 32.422 (31.697)
Epoch: [31][560/7045]	Time 0.111 (0.251)	Data 0.001 (0.190)	Loss 4.3607 (4.2634)	Prec@1 12.891 (11.981)	Prec@5 27.344 (31.684)
Epoch: [31][570/7045]	Time 0.389 (0.251)	Data 0.337 (0.190)	Loss 4.1021 (4.2630)	Prec@1 14.453 (11.964)	Prec@5 35.938 (31.680)
Epoch: [31][580/7045]	Time 0.294 (0.251)	Data 0.243 (0.190)	Loss 4.0732 (4.2618)	Prec@1 12.500 (11.973)	Prec@5 35.547 (31.711)
Epoch: [31][590/7045]	Time 0.187 (0.251)	Data 0.137 (0.190)	Loss 4.2047 (4.2613)	Prec@1 9.766 (11.967)	Prec@5 31.641 (31.703)
Epoch: [31][600/7045]	Time 0.783 (0.251)	Data 0.731 (0.190)	Loss 4.2899 (4.2612)	Prec@1 10.938 (11.967)	Prec@5 29.297 (31.693)
Epoch: [31][610/7045]	Time 0.219 (0.251)	Data 0.168 (0.190)	Loss 4.2298 (4.2604)	Prec@1 14.062 (11.974)	Prec@5 30.469 (31.715)
Epoch: [31][620/7045]	Time 0.635 (0.251)	Data 0.583 (0.190)	Loss 4.3002 (4.2602)	Prec@1 10.547 (11.974)	Prec@5 31.250 (31.707)
Epoch: [31][630/7045]	Time 0.273 (0.251)	Data 0.222 (0.189)	Loss 4.4012 (4.2609)	Prec@1 12.500 (11.976)	Prec@5 29.297 (31.709)
Epoch: [31][640/7045]	Time 0.245 (0.251)	Data 0.186 (0.189)	Loss 4.2227 (4.2608)	Prec@1 12.109 (11.966)	Prec@5 32.422 (31.717)
Epoch: [31][650/7045]	Time 0.371 (0.251)	Data 0.320 (0.190)	Loss 4.4343 (4.2608)	Prec@1 12.109 (11.964)	Prec@5 28.125 (31.710)
Epoch: [31][660/7045]	Time 0.152 (0.251)	Data 0.099 (0.189)	Loss 4.2980 (4.2606)	Prec@1 8.594 (11.959)	Prec@5 27.344 (31.716)
Epoch: [31][670/7045]	Time 0.181 (0.251)	Data 0.130 (0.189)	Loss 4.3682 (4.2613)	Prec@1 10.156 (11.963)	Prec@5 32.422 (31.713)
Epoch: [31][680/7045]	Time 0.104 (0.251)	Data 0.050 (0.189)	Loss 3.9788 (4.2610)	Prec@1 17.188 (11.959)	Prec@5 36.719 (31.713)
Epoch: [31][690/7045]	Time 0.137 (0.251)	Data 0.085 (0.189)	Loss 4.2815 (4.2612)	Prec@1 12.500 (11.960)	Prec@5 29.297 (31.709)
Epoch: [31][700/7045]	Time 0.101 (0.251)	Data 0.001 (0.189)	Loss 4.2184 (4.2611)	Prec@1 12.500 (11.953)	Prec@5 30.469 (31.707)
Epoch: [31][710/7045]	Time 0.148 (0.251)	Data 0.095 (0.189)	Loss 4.2433 (4.2612)	Prec@1 12.500 (11.952)	Prec@5 31.250 (31.704)
Epoch: [31][720/7045]	Time 0.198 (0.250)	Data 0.146 (0.189)	Loss 4.1440 (4.2613)	Prec@1 10.938 (11.938)	Prec@5 33.594 (31.713)
Epoch: [31][730/7045]	Time 0.185 (0.251)	Data 0.134 (0.189)	Loss 4.2865 (4.2613)	Prec@1 10.547 (11.942)	Prec@5 32.422 (31.712)
Epoch: [31][740/7045]	Time 0.443 (0.251)	Data 0.391 (0.189)	Loss 4.2175 (4.2604)	Prec@1 12.500 (11.945)	Prec@5 35.156 (31.736)
Epoch: [31][750/7045]	Time 0.236 (0.250)	Data 0.186 (0.189)	Loss 4.1511 (4.2600)	Prec@1 13.281 (11.946)	Prec@5 35.156 (31.735)
Epoch: [31][760/7045]	Time 0.492 (0.250)	Data 0.441 (0.189)	Loss 4.2168 (4.2600)	Prec@1 12.109 (11.944)	Prec@5 31.641 (31.729)
Epoch: [31][770/7045]	Time 0.133 (0.250)	Data 0.082 (0.189)	Loss 4.3725 (4.2601)	Prec@1 10.156 (11.951)	Prec@5 28.125 (31.726)
Epoch: [31][780/7045]	Time 0.391 (0.250)	Data 0.341 (0.189)	Loss 4.3103 (4.2601)	Prec@1 12.109 (11.964)	Prec@5 30.859 (31.714)
Epoch: [31][790/7045]	Time 0.102 (0.250)	Data 0.011 (0.189)	Loss 4.3694 (4.2596)	Prec@1 11.328 (11.969)	Prec@5 24.219 (31.721)
Epoch: [31][800/7045]	Time 0.471 (0.250)	Data 0.420 (0.189)	Loss 4.2707 (4.2595)	Prec@1 13.672 (11.972)	Prec@5 31.641 (31.725)
Epoch: [31][810/7045]	Time 0.102 (0.250)	Data 0.015 (0.188)	Loss 4.3268 (4.2595)	Prec@1 12.109 (11.972)	Prec@5 31.641 (31.709)
Epoch: [31][820/7045]	Time 0.474 (0.250)	Data 0.423 (0.188)	Loss 4.1138 (4.2589)	Prec@1 11.719 (11.986)	Prec@5 38.672 (31.735)
Epoch: [31][830/7045]	Time 0.111 (0.250)	Data 0.017 (0.188)	Loss 4.2886 (4.2587)	Prec@1 10.547 (11.989)	Prec@5 31.250 (31.748)
Epoch: [31][840/7045]	Time 0.229 (0.250)	Data 0.177 (0.188)	Loss 4.1362 (4.2589)	Prec@1 16.797 (11.991)	Prec@5 34.766 (31.740)
Epoch: [31][850/7045]	Time 0.101 (0.250)	Data 0.006 (0.188)	Loss 4.2282 (4.2585)	Prec@1 10.938 (11.985)	Prec@5 33.203 (31.759)
Epoch: [31][860/7045]	Time 0.237 (0.250)	Data 0.186 (0.188)	Loss 4.2236 (4.2584)	Prec@1 11.719 (11.976)	Prec@5 32.031 (31.768)
Epoch: [31][870/7045]	Time 0.101 (0.250)	Data 0.018 (0.188)	Loss 4.3301 (4.2586)	Prec@1 10.938 (11.973)	Prec@5 30.859 (31.771)
Epoch: [31][880/7045]	Time 0.101 (0.250)	Data 0.001 (0.188)	Loss 4.1333 (4.2582)	Prec@1 15.625 (11.979)	Prec@5 37.109 (31.767)
Epoch: [31][890/7045]	Time 0.206 (0.249)	Data 0.156 (0.188)	Loss 4.1781 (4.2575)	Prec@1 12.109 (11.980)	Prec@5 32.812 (31.770)
Epoch: [31][900/7045]	Time 0.132 (0.249)	Data 0.080 (0.188)	Loss 4.1304 (4.2576)	Prec@1 12.891 (11.971)	Prec@5 32.031 (31.764)
Epoch: [31][910/7045]	Time 0.503 (0.249)	Data 0.442 (0.188)	Loss 4.2226 (4.2576)	Prec@1 14.062 (11.983)	Prec@5 33.984 (31.769)
Epoch: [31][920/7045]	Time 0.212 (0.249)	Data 0.161 (0.188)	Loss 4.3163 (4.2574)	Prec@1 12.109 (11.990)	Prec@5 30.469 (31.785)
Epoch: [31][930/7045]	Time 0.471 (0.249)	Data 0.419 (0.188)	Loss 4.1318 (4.2574)	Prec@1 14.062 (11.981)	Prec@5 34.375 (31.777)
Epoch: [31][940/7045]	Time 0.266 (0.249)	Data 0.215 (0.188)	Loss 4.5197 (4.2578)	Prec@1 9.766 (11.973)	Prec@5 28.125 (31.760)
Epoch: [31][950/7045]	Time 0.417 (0.249)	Data 0.366 (0.188)	Loss 4.1524 (4.2579)	Prec@1 14.062 (11.966)	Prec@5 33.594 (31.759)
Epoch: [31][960/7045]	Time 0.103 (0.249)	Data 0.007 (0.188)	Loss 4.1952 (4.2582)	Prec@1 13.281 (11.966)	Prec@5 31.250 (31.743)
Epoch: [31][970/7045]	Time 0.103 (0.249)	Data 0.004 (0.188)	Loss 4.2921 (4.2579)	Prec@1 11.719 (11.970)	Prec@5 32.422 (31.747)
Epoch: [31][980/7045]	Time 0.105 (0.249)	Data 0.052 (0.187)	Loss 4.0795 (4.2575)	Prec@1 12.500 (11.971)	Prec@5 35.938 (31.767)
Epoch: [31][990/7045]	Time 0.107 (0.249)	Data 0.001 (0.188)	Loss 4.2726 (4.2572)	Prec@1 11.719 (11.972)	Prec@5 33.984 (31.771)
Epoch: [31][1000/7045]	Time 0.107 (0.249)	Data 0.055 (0.187)	Loss 4.1715 (4.2570)	Prec@1 10.938 (11.963)	Prec@5 33.203 (31.767)
Epoch: [31][1010/7045]	Time 0.108 (0.249)	Data 0.055 (0.187)	Loss 4.2722 (4.2569)	Prec@1 13.281 (11.963)	Prec@5 30.469 (31.763)
Epoch: [31][1020/7045]	Time 0.107 (0.248)	Data 0.054 (0.187)	Loss 4.2611 (4.2570)	Prec@1 13.281 (11.959)	Prec@5 31.641 (31.751)
Epoch: [31][1030/7045]	Time 0.110 (0.249)	Data 0.045 (0.187)	Loss 4.1937 (4.2572)	Prec@1 15.625 (11.962)	Prec@5 28.906 (31.744)
Epoch: [31][1040/7045]	Time 0.102 (0.249)	Data 0.001 (0.186)	Loss 4.4480 (4.2574)	Prec@1 9.766 (11.961)	Prec@5 28.516 (31.746)
Epoch: [31][1050/7045]	Time 0.109 (0.249)	Data 0.001 (0.187)	Loss 4.1236 (4.2570)	Prec@1 10.547 (11.964)	Prec@5 36.719 (31.749)
Epoch: [31][1060/7045]	Time 0.107 (0.249)	Data 0.055 (0.186)	Loss 4.1922 (4.2564)	Prec@1 10.938 (11.971)	Prec@5 33.203 (31.761)
Epoch: [31][1070/7045]	Time 0.101 (0.249)	Data 0.012 (0.186)	Loss 4.3289 (4.2566)	Prec@1 10.547 (11.968)	Prec@5 28.125 (31.762)
Epoch: [31][1080/7045]	Time 0.262 (0.249)	Data 0.211 (0.186)	Loss 4.2326 (4.2568)	Prec@1 12.891 (11.962)	Prec@5 31.250 (31.760)
Epoch: [31][1090/7045]	Time 0.144 (0.249)	Data 0.093 (0.186)	Loss 4.0152 (4.2562)	Prec@1 13.672 (11.965)	Prec@5 35.156 (31.766)
Epoch: [31][1100/7045]	Time 0.170 (0.248)	Data 0.119 (0.186)	Loss 4.1358 (4.2560)	Prec@1 12.891 (11.961)	Prec@5 35.938 (31.762)
Epoch: [31][1110/7045]	Time 0.255 (0.249)	Data 0.204 (0.186)	Loss 4.2318 (4.2560)	Prec@1 12.500 (11.960)	Prec@5 30.469 (31.761)
Epoch: [31][1120/7045]	Time 0.308 (0.249)	Data 0.256 (0.186)	Loss 4.2994 (4.2553)	Prec@1 12.109 (11.963)	Prec@5 29.688 (31.775)
Epoch: [31][1130/7045]	Time 0.110 (0.249)	Data 0.059 (0.186)	Loss 4.1257 (4.2556)	Prec@1 11.719 (11.963)	Prec@5 30.859 (31.772)
Epoch: [31][1140/7045]	Time 0.202 (0.248)	Data 0.151 (0.186)	Loss 4.3610 (4.2560)	Prec@1 9.375 (11.957)	Prec@5 27.344 (31.766)
Epoch: [31][1150/7045]	Time 0.157 (0.249)	Data 0.106 (0.186)	Loss 4.1219 (4.2559)	Prec@1 12.109 (11.953)	Prec@5 35.156 (31.762)
Epoch: [31][1160/7045]	Time 0.173 (0.249)	Data 0.122 (0.186)	Loss 4.2883 (4.2561)	Prec@1 10.547 (11.947)	Prec@5 28.516 (31.759)
Epoch: [31][1170/7045]	Time 0.144 (0.249)	Data 0.091 (0.186)	Loss 4.2209 (4.2559)	Prec@1 13.281 (11.949)	Prec@5 35.156 (31.762)
Epoch: [31][1180/7045]	Time 0.110 (0.249)	Data 0.059 (0.186)	Loss 4.3351 (4.2559)	Prec@1 10.938 (11.942)	Prec@5 31.250 (31.765)
Epoch: [31][1190/7045]	Time 0.210 (0.248)	Data 0.156 (0.186)	Loss 4.1634 (4.2563)	Prec@1 10.938 (11.935)	Prec@5 35.156 (31.754)
Epoch: [31][1200/7045]	Time 0.100 (0.249)	Data 0.013 (0.186)	Loss 4.2477 (4.2556)	Prec@1 12.500 (11.943)	Prec@5 32.422 (31.772)
Epoch: [31][1210/7045]	Time 0.101 (0.248)	Data 0.001 (0.186)	Loss 4.3315 (4.2558)	Prec@1 12.500 (11.946)	Prec@5 33.984 (31.781)
Epoch: [31][1220/7045]	Time 0.100 (0.248)	Data 0.046 (0.186)	Loss 4.2384 (4.2557)	Prec@1 9.766 (11.947)	Prec@5 30.078 (31.777)
Epoch: [31][1230/7045]	Time 0.312 (0.248)	Data 0.260 (0.186)	Loss 4.1856 (4.2556)	Prec@1 8.984 (11.946)	Prec@5 31.250 (31.781)
Epoch: [31][1240/7045]	Time 0.425 (0.249)	Data 0.365 (0.186)	Loss 4.3100 (4.2554)	Prec@1 10.938 (11.943)	Prec@5 33.203 (31.789)
Epoch: [31][1250/7045]	Time 0.099 (0.248)	Data 0.047 (0.186)	Loss 4.4007 (4.2549)	Prec@1 8.984 (11.941)	Prec@5 27.734 (31.796)
Epoch: [31][1260/7045]	Time 0.348 (0.249)	Data 0.297 (0.186)	Loss 4.1581 (4.2544)	Prec@1 15.234 (11.948)	Prec@5 34.375 (31.812)
Epoch: [31][1270/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 4.0680 (4.2542)	Prec@1 14.062 (11.955)	Prec@5 34.766 (31.817)
Epoch: [31][1280/7045]	Time 0.220 (0.249)	Data 0.170 (0.186)	Loss 4.1100 (4.2539)	Prec@1 13.672 (11.955)	Prec@5 34.375 (31.820)
Epoch: [31][1290/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 4.3498 (4.2542)	Prec@1 8.203 (11.954)	Prec@5 28.516 (31.812)
Epoch: [31][1300/7045]	Time 0.109 (0.249)	Data 0.001 (0.186)	Loss 4.1409 (4.2538)	Prec@1 14.844 (11.959)	Prec@5 31.641 (31.813)
Epoch: [31][1310/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 4.2212 (4.2533)	Prec@1 12.109 (11.970)	Prec@5 28.906 (31.822)
Epoch: [31][1320/7045]	Time 0.112 (0.248)	Data 0.016 (0.185)	Loss 4.2128 (4.2528)	Prec@1 14.453 (11.964)	Prec@5 31.641 (31.828)
Epoch: [31][1330/7045]	Time 0.289 (0.248)	Data 0.238 (0.185)	Loss 4.2132 (4.2529)	Prec@1 10.938 (11.957)	Prec@5 36.328 (31.821)
Epoch: [31][1340/7045]	Time 0.140 (0.248)	Data 0.088 (0.185)	Loss 4.2038 (4.2525)	Prec@1 14.844 (11.967)	Prec@5 34.375 (31.823)
Epoch: [31][1350/7045]	Time 0.392 (0.248)	Data 0.331 (0.186)	Loss 4.1337 (4.2522)	Prec@1 12.891 (11.967)	Prec@5 34.375 (31.829)
Epoch: [31][1360/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 4.1923 (4.2523)	Prec@1 11.719 (11.962)	Prec@5 35.156 (31.830)
Epoch: [31][1370/7045]	Time 0.568 (0.249)	Data 0.516 (0.186)	Loss 4.3254 (4.2526)	Prec@1 8.984 (11.960)	Prec@5 30.859 (31.829)
Epoch: [31][1380/7045]	Time 0.291 (0.248)	Data 0.240 (0.185)	Loss 3.9528 (4.2523)	Prec@1 14.062 (11.967)	Prec@5 37.500 (31.830)
Epoch: [31][1390/7045]	Time 0.421 (0.249)	Data 0.370 (0.186)	Loss 4.3100 (4.2523)	Prec@1 10.547 (11.960)	Prec@5 31.641 (31.823)
Epoch: [31][1400/7045]	Time 0.361 (0.248)	Data 0.310 (0.185)	Loss 4.0834 (4.2519)	Prec@1 11.719 (11.963)	Prec@5 30.859 (31.829)
Epoch: [31][1410/7045]	Time 0.271 (0.249)	Data 0.221 (0.186)	Loss 4.3440 (4.2515)	Prec@1 12.500 (11.972)	Prec@5 34.766 (31.842)
Epoch: [31][1420/7045]	Time 0.329 (0.248)	Data 0.277 (0.186)	Loss 4.3418 (4.2508)	Prec@1 11.719 (11.986)	Prec@5 29.688 (31.857)
Epoch: [31][1430/7045]	Time 0.176 (0.248)	Data 0.124 (0.185)	Loss 4.1653 (4.2508)	Prec@1 15.625 (11.985)	Prec@5 38.281 (31.859)
Epoch: [31][1440/7045]	Time 0.106 (0.249)	Data 0.001 (0.186)	Loss 4.2736 (4.2506)	Prec@1 8.594 (11.976)	Prec@5 31.641 (31.855)
Epoch: [31][1450/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 4.2095 (4.2506)	Prec@1 8.594 (11.976)	Prec@5 32.812 (31.857)
Epoch: [31][1460/7045]	Time 0.195 (0.249)	Data 0.144 (0.186)	Loss 4.2197 (4.2503)	Prec@1 13.672 (11.980)	Prec@5 30.859 (31.863)
Epoch: [31][1470/7045]	Time 0.195 (0.249)	Data 0.144 (0.186)	Loss 4.3172 (4.2505)	Prec@1 9.766 (11.980)	Prec@5 30.078 (31.858)
Epoch: [31][1480/7045]	Time 0.213 (0.249)	Data 0.163 (0.186)	Loss 4.2697 (4.2507)	Prec@1 11.328 (11.976)	Prec@5 32.031 (31.857)
Epoch: [31][1490/7045]	Time 0.101 (0.249)	Data 0.001 (0.186)	Loss 4.2625 (4.2505)	Prec@1 13.672 (11.979)	Prec@5 32.031 (31.865)
Epoch: [31][1500/7045]	Time 0.101 (0.249)	Data 0.013 (0.186)	Loss 4.2870 (4.2503)	Prec@1 11.328 (11.977)	Prec@5 30.469 (31.871)
Epoch: [31][1510/7045]	Time 0.772 (0.249)	Data 0.721 (0.186)	Loss 4.3654 (4.2507)	Prec@1 8.984 (11.975)	Prec@5 28.125 (31.863)
Epoch: [31][1520/7045]	Time 0.109 (0.249)	Data 0.001 (0.186)	Loss 4.2477 (4.2503)	Prec@1 13.672 (11.981)	Prec@5 35.938 (31.878)
Epoch: [31][1530/7045]	Time 0.844 (0.249)	Data 0.793 (0.186)	Loss 4.2850 (4.2504)	Prec@1 9.766 (11.977)	Prec@5 26.172 (31.874)
Epoch: [31][1540/7045]	Time 0.101 (0.249)	Data 0.020 (0.186)	Loss 4.2277 (4.2504)	Prec@1 10.938 (11.977)	Prec@5 32.812 (31.871)
Epoch: [31][1550/7045]	Time 0.369 (0.249)	Data 0.318 (0.186)	Loss 4.2702 (4.2503)	Prec@1 12.891 (11.973)	Prec@5 28.906 (31.880)
Epoch: [31][1560/7045]	Time 0.130 (0.249)	Data 0.077 (0.186)	Loss 4.2149 (4.2501)	Prec@1 9.766 (11.973)	Prec@5 32.812 (31.885)
Epoch: [31][1570/7045]	Time 0.175 (0.249)	Data 0.124 (0.186)	Loss 4.3275 (4.2499)	Prec@1 11.719 (11.986)	Prec@5 33.203 (31.899)
Epoch: [31][1580/7045]	Time 0.106 (0.250)	Data 0.053 (0.187)	Loss 4.1467 (4.2494)	Prec@1 13.281 (11.989)	Prec@5 30.469 (31.907)
Epoch: [31][1590/7045]	Time 0.110 (0.249)	Data 0.059 (0.186)	Loss 4.3924 (4.2489)	Prec@1 8.594 (11.991)	Prec@5 29.297 (31.912)
Epoch: [31][1600/7045]	Time 0.115 (0.250)	Data 0.064 (0.187)	Loss 4.2416 (4.2491)	Prec@1 10.156 (11.986)	Prec@5 27.344 (31.910)
Epoch: [31][1610/7045]	Time 0.100 (0.249)	Data 0.013 (0.186)	Loss 4.1569 (4.2487)	Prec@1 8.984 (11.982)	Prec@5 31.641 (31.916)
Epoch: [31][1620/7045]	Time 0.224 (0.250)	Data 0.173 (0.186)	Loss 4.3528 (4.2486)	Prec@1 11.328 (11.978)	Prec@5 29.297 (31.912)
Epoch: [31][1630/7045]	Time 0.102 (0.249)	Data 0.001 (0.186)	Loss 4.1040 (4.2484)	Prec@1 13.281 (11.984)	Prec@5 34.375 (31.919)
Epoch: [31][1640/7045]	Time 0.334 (0.249)	Data 0.282 (0.186)	Loss 4.2705 (4.2481)	Prec@1 11.719 (11.988)	Prec@5 32.031 (31.927)
Epoch: [31][1650/7045]	Time 0.378 (0.249)	Data 0.326 (0.186)	Loss 4.1136 (4.2476)	Prec@1 13.281 (11.993)	Prec@5 31.641 (31.929)
Epoch: [31][1660/7045]	Time 0.429 (0.249)	Data 0.378 (0.186)	Loss 4.0980 (4.2474)	Prec@1 13.672 (11.991)	Prec@5 33.984 (31.935)
Epoch: [31][1670/7045]	Time 0.397 (0.249)	Data 0.346 (0.186)	Loss 4.1289 (4.2470)	Prec@1 17.578 (11.996)	Prec@5 33.984 (31.940)
Epoch: [31][1680/7045]	Time 0.156 (0.249)	Data 0.105 (0.186)	Loss 4.1130 (4.2471)	Prec@1 16.797 (12.000)	Prec@5 35.938 (31.938)
Epoch: [31][1690/7045]	Time 0.520 (0.249)	Data 0.468 (0.186)	Loss 4.1457 (4.2471)	Prec@1 14.844 (11.998)	Prec@5 37.500 (31.939)
Epoch: [31][1700/7045]	Time 0.145 (0.249)	Data 0.094 (0.186)	Loss 3.9559 (4.2467)	Prec@1 13.281 (11.997)	Prec@5 34.375 (31.949)
Epoch: [31][1710/7045]	Time 0.404 (0.249)	Data 0.351 (0.186)	Loss 4.3455 (4.2462)	Prec@1 11.719 (12.005)	Prec@5 30.469 (31.965)
Epoch: [31][1720/7045]	Time 0.325 (0.249)	Data 0.274 (0.186)	Loss 4.2807 (4.2460)	Prec@1 14.062 (12.012)	Prec@5 32.422 (31.969)
Epoch: [31][1730/7045]	Time 0.322 (0.249)	Data 0.265 (0.186)	Loss 4.2925 (4.2456)	Prec@1 10.938 (12.009)	Prec@5 30.859 (31.973)
Epoch: [31][1740/7045]	Time 0.240 (0.249)	Data 0.189 (0.186)	Loss 4.1664 (4.2452)	Prec@1 10.547 (12.016)	Prec@5 33.594 (31.980)
Epoch: [31][1750/7045]	Time 0.265 (0.249)	Data 0.214 (0.186)	Loss 4.0429 (4.2452)	Prec@1 15.234 (12.015)	Prec@5 36.328 (31.980)
Epoch: [31][1760/7045]	Time 0.102 (0.249)	Data 0.050 (0.186)	Loss 4.0846 (4.2449)	Prec@1 14.844 (12.022)	Prec@5 35.156 (31.984)
Epoch: [31][1770/7045]	Time 0.212 (0.249)	Data 0.149 (0.186)	Loss 4.1721 (4.2449)	Prec@1 14.844 (12.027)	Prec@5 32.422 (31.986)
Epoch: [31][1780/7045]	Time 0.216 (0.249)	Data 0.165 (0.186)	Loss 4.1690 (4.2449)	Prec@1 13.281 (12.026)	Prec@5 33.984 (31.984)
Epoch: [31][1790/7045]	Time 0.254 (0.249)	Data 0.203 (0.186)	Loss 4.0133 (4.2445)	Prec@1 14.453 (12.029)	Prec@5 38.672 (31.989)
Epoch: [31][1800/7045]	Time 0.323 (0.249)	Data 0.272 (0.186)	Loss 4.2574 (4.2445)	Prec@1 11.719 (12.024)	Prec@5 30.859 (31.985)
Epoch: [31][1810/7045]	Time 0.107 (0.249)	Data 0.056 (0.186)	Loss 4.2726 (4.2442)	Prec@1 10.156 (12.025)	Prec@5 26.953 (31.985)
Epoch: [31][1820/7045]	Time 0.430 (0.249)	Data 0.378 (0.186)	Loss 4.1703 (4.2441)	Prec@1 12.500 (12.019)	Prec@5 32.812 (31.984)
Epoch: [31][1830/7045]	Time 0.213 (0.249)	Data 0.162 (0.186)	Loss 4.2707 (4.2438)	Prec@1 11.328 (12.024)	Prec@5 34.375 (31.994)
Epoch: [31][1840/7045]	Time 0.101 (0.249)	Data 0.008 (0.186)	Loss 4.1288 (4.2435)	Prec@1 12.109 (12.018)	Prec@5 32.031 (31.994)
Epoch: [31][1850/7045]	Time 0.101 (0.249)	Data 0.001 (0.186)	Loss 4.0776 (4.2437)	Prec@1 12.109 (12.021)	Prec@5 33.594 (31.996)
Epoch: [31][1860/7045]	Time 0.122 (0.249)	Data 0.059 (0.186)	Loss 4.0352 (4.2437)	Prec@1 14.844 (12.022)	Prec@5 36.328 (31.992)
Epoch: [31][1870/7045]	Time 0.224 (0.249)	Data 0.168 (0.186)	Loss 4.1704 (4.2435)	Prec@1 11.719 (12.028)	Prec@5 32.031 (31.997)
Epoch: [31][1880/7045]	Time 0.108 (0.249)	Data 0.056 (0.186)	Loss 4.3054 (4.2435)	Prec@1 13.672 (12.028)	Prec@5 32.812 (32.000)
Epoch: [31][1890/7045]	Time 0.102 (0.249)	Data 0.049 (0.186)	Loss 4.2916 (4.2436)	Prec@1 11.719 (12.029)	Prec@5 34.766 (32.006)
Epoch: [31][1900/7045]	Time 0.181 (0.249)	Data 0.130 (0.186)	Loss 4.2022 (4.2433)	Prec@1 12.500 (12.031)	Prec@5 28.906 (32.010)
Epoch: [31][1910/7045]	Time 0.118 (0.249)	Data 0.066 (0.186)	Loss 4.2852 (4.2430)	Prec@1 10.938 (12.037)	Prec@5 32.031 (32.017)
Epoch: [31][1920/7045]	Time 0.213 (0.249)	Data 0.161 (0.186)	Loss 4.2709 (4.2430)	Prec@1 12.891 (12.040)	Prec@5 30.078 (32.016)
Epoch: [31][1930/7045]	Time 0.441 (0.249)	Data 0.383 (0.186)	Loss 4.1767 (4.2427)	Prec@1 12.500 (12.047)	Prec@5 31.641 (32.025)
Epoch: [31][1940/7045]	Time 0.104 (0.249)	Data 0.052 (0.186)	Loss 3.9510 (4.2426)	Prec@1 17.578 (12.049)	Prec@5 41.016 (32.027)
Epoch: [31][1950/7045]	Time 0.446 (0.249)	Data 0.394 (0.186)	Loss 4.2178 (4.2429)	Prec@1 11.719 (12.047)	Prec@5 33.594 (32.020)
Epoch: [31][1960/7045]	Time 0.100 (0.249)	Data 0.001 (0.186)	Loss 4.2666 (4.2431)	Prec@1 11.328 (12.040)	Prec@5 28.906 (32.013)
Epoch: [31][1970/7045]	Time 0.359 (0.249)	Data 0.309 (0.186)	Loss 4.1895 (4.2428)	Prec@1 13.672 (12.043)	Prec@5 28.906 (32.018)
Epoch: [31][1980/7045]	Time 0.215 (0.249)	Data 0.165 (0.186)	Loss 4.2005 (4.2424)	Prec@1 14.062 (12.044)	Prec@5 33.203 (32.027)
Epoch: [31][1990/7045]	Time 0.102 (0.249)	Data 0.001 (0.186)	Loss 4.2824 (4.2422)	Prec@1 13.672 (12.048)	Prec@5 34.766 (32.034)
Epoch: [31][2000/7045]	Time 0.481 (0.249)	Data 0.422 (0.186)	Loss 4.2679 (4.2421)	Prec@1 13.672 (12.048)	Prec@5 29.297 (32.038)
Epoch: [31][2010/7045]	Time 0.103 (0.249)	Data 0.001 (0.186)	Loss 4.0776 (4.2420)	Prec@1 13.281 (12.050)	Prec@5 34.375 (32.039)
Epoch: [31][2020/7045]	Time 0.652 (0.249)	Data 0.594 (0.186)	Loss 4.1892 (4.2415)	Prec@1 12.891 (12.054)	Prec@5 34.375 (32.047)
Epoch: [31][2030/7045]	Time 0.135 (0.249)	Data 0.077 (0.186)	Loss 4.1266 (4.2409)	Prec@1 12.891 (12.061)	Prec@5 33.594 (32.058)
Epoch: [31][2040/7045]	Time 0.595 (0.249)	Data 0.543 (0.186)	Loss 3.9765 (4.2405)	Prec@1 18.750 (12.067)	Prec@5 37.891 (32.066)
Epoch: [31][2050/7045]	Time 0.317 (0.249)	Data 0.259 (0.186)	Loss 4.0882 (4.2400)	Prec@1 14.844 (12.071)	Prec@5 34.375 (32.073)
Epoch: [31][2060/7045]	Time 0.301 (0.249)	Data 0.241 (0.186)	Loss 4.0399 (4.2398)	Prec@1 15.625 (12.071)	Prec@5 38.281 (32.081)
Epoch: [31][2070/7045]	Time 0.432 (0.249)	Data 0.381 (0.186)	Loss 4.1079 (4.2395)	Prec@1 13.281 (12.075)	Prec@5 36.328 (32.084)
Epoch: [31][2080/7045]	Time 0.102 (0.249)	Data 0.001 (0.186)	Loss 4.3817 (4.2395)	Prec@1 9.766 (12.079)	Prec@5 28.516 (32.083)
Epoch: [31][2090/7045]	Time 0.477 (0.249)	Data 0.426 (0.186)	Loss 4.3204 (4.2393)	Prec@1 12.500 (12.079)	Prec@5 33.984 (32.087)
Epoch: [31][2100/7045]	Time 0.101 (0.248)	Data 0.004 (0.186)	Loss 4.3118 (4.2390)	Prec@1 12.891 (12.083)	Prec@5 30.469 (32.098)
Epoch: [31][2110/7045]	Time 0.372 (0.248)	Data 0.321 (0.186)	Loss 4.1046 (4.2387)	Prec@1 9.766 (12.082)	Prec@5 34.375 (32.105)
Epoch: [31][2120/7045]	Time 0.172 (0.248)	Data 0.121 (0.186)	Loss 4.1125 (4.2385)	Prec@1 14.453 (12.083)	Prec@5 35.547 (32.106)
Epoch: [31][2130/7045]	Time 0.110 (0.248)	Data 0.011 (0.186)	Loss 4.3478 (4.2384)	Prec@1 9.766 (12.085)	Prec@5 31.250 (32.111)
Epoch: [31][2140/7045]	Time 0.393 (0.248)	Data 0.341 (0.186)	Loss 4.0714 (4.2381)	Prec@1 16.016 (12.091)	Prec@5 36.719 (32.114)
Epoch: [31][2150/7045]	Time 0.302 (0.249)	Data 0.250 (0.186)	Loss 4.2707 (4.2381)	Prec@1 13.672 (12.091)	Prec@5 35.547 (32.115)
Epoch: [31][2160/7045]	Time 0.744 (0.249)	Data 0.692 (0.186)	Loss 4.2665 (4.2381)	Prec@1 10.156 (12.085)	Prec@5 30.859 (32.115)
Epoch: [31][2170/7045]	Time 0.108 (0.249)	Data 0.001 (0.186)	Loss 4.1723 (4.2381)	Prec@1 12.891 (12.085)	Prec@5 32.422 (32.112)
Epoch: [31][2180/7045]	Time 0.602 (0.249)	Data 0.552 (0.186)	Loss 4.0412 (4.2376)	Prec@1 12.500 (12.091)	Prec@5 36.328 (32.121)
Epoch: [31][2190/7045]	Time 0.132 (0.249)	Data 0.080 (0.186)	Loss 4.0715 (4.2374)	Prec@1 16.016 (12.092)	Prec@5 37.109 (32.123)
Epoch: [31][2200/7045]	Time 0.622 (0.249)	Data 0.570 (0.186)	Loss 4.2461 (4.2372)	Prec@1 14.062 (12.092)	Prec@5 33.203 (32.127)
Epoch: [31][2210/7045]	Time 0.205 (0.249)	Data 0.154 (0.186)	Loss 4.1628 (4.2371)	Prec@1 12.500 (12.098)	Prec@5 34.375 (32.130)
Epoch: [31][2220/7045]	Time 0.417 (0.249)	Data 0.364 (0.186)	Loss 4.1676 (4.2369)	Prec@1 12.500 (12.100)	Prec@5 31.250 (32.137)
Epoch: [31][2230/7045]	Time 0.120 (0.249)	Data 0.068 (0.186)	Loss 4.2228 (4.2366)	Prec@1 14.453 (12.106)	Prec@5 35.547 (32.145)
Epoch: [31][2240/7045]	Time 0.285 (0.249)	Data 0.234 (0.186)	Loss 4.2048 (4.2366)	Prec@1 12.891 (12.103)	Prec@5 30.469 (32.142)
Epoch: [31][2250/7045]	Time 0.102 (0.249)	Data 0.008 (0.186)	Loss 4.1312 (4.2364)	Prec@1 13.281 (12.108)	Prec@5 32.031 (32.145)
Epoch: [31][2260/7045]	Time 0.147 (0.249)	Data 0.094 (0.186)	Loss 4.0041 (4.2365)	Prec@1 13.672 (12.109)	Prec@5 34.375 (32.140)
Epoch: [31][2270/7045]	Time 0.364 (0.249)	Data 0.313 (0.186)	Loss 4.1296 (4.2363)	Prec@1 11.328 (12.111)	Prec@5 32.031 (32.141)
Epoch: [31][2280/7045]	Time 0.102 (0.249)	Data 0.001 (0.186)	Loss 4.2260 (4.2362)	Prec@1 13.281 (12.108)	Prec@5 33.594 (32.143)
Epoch: [31][2290/7045]	Time 0.232 (0.249)	Data 0.182 (0.186)	Loss 4.2629 (4.2361)	Prec@1 13.281 (12.114)	Prec@5 32.031 (32.147)
Epoch: [31][2300/7045]	Time 0.109 (0.249)	Data 0.056 (0.186)	Loss 4.0658 (4.2359)	Prec@1 16.016 (12.117)	Prec@5 35.156 (32.145)
Epoch: [31][2310/7045]	Time 0.363 (0.249)	Data 0.312 (0.186)	Loss 4.1816 (4.2355)	Prec@1 12.891 (12.123)	Prec@5 36.719 (32.154)
Epoch: [31][2320/7045]	Time 0.108 (0.249)	Data 0.055 (0.186)	Loss 4.0296 (4.2352)	Prec@1 16.016 (12.126)	Prec@5 36.328 (32.161)
Epoch: [31][2330/7045]	Time 0.355 (0.249)	Data 0.295 (0.186)	Loss 4.0935 (4.2351)	Prec@1 9.766 (12.123)	Prec@5 31.641 (32.161)
Epoch: [31][2340/7045]	Time 0.104 (0.249)	Data 0.001 (0.186)	Loss 4.3160 (4.2351)	Prec@1 12.109 (12.123)	Prec@5 32.031 (32.162)
Epoch: [31][2350/7045]	Time 0.435 (0.249)	Data 0.383 (0.186)	Loss 4.2916 (4.2348)	Prec@1 10.156 (12.126)	Prec@5 27.734 (32.164)
Epoch: [31][2360/7045]	Time 0.102 (0.249)	Data 0.017 (0.186)	Loss 4.1026 (4.2347)	Prec@1 14.844 (12.129)	Prec@5 36.328 (32.165)
Epoch: [31][2370/7045]	Time 0.150 (0.249)	Data 0.099 (0.186)	Loss 4.2236 (4.2345)	Prec@1 14.844 (12.135)	Prec@5 31.641 (32.166)
Epoch: [31][2380/7045]	Time 0.106 (0.249)	Data 0.055 (0.186)	Loss 4.2208 (4.2344)	Prec@1 12.891 (12.135)	Prec@5 33.984 (32.169)
Epoch: [31][2390/7045]	Time 0.147 (0.249)	Data 0.096 (0.186)	Loss 4.1454 (4.2341)	Prec@1 12.500 (12.145)	Prec@5 34.766 (32.180)
Epoch: [31][2400/7045]	Time 0.102 (0.249)	Data 0.015 (0.186)	Loss 4.2126 (4.2341)	Prec@1 14.062 (12.147)	Prec@5 33.984 (32.181)
Epoch: [31][2410/7045]	Time 0.469 (0.249)	Data 0.417 (0.186)	Loss 4.1514 (4.2340)	Prec@1 12.109 (12.150)	Prec@5 29.688 (32.185)
Epoch: [31][2420/7045]	Time 0.101 (0.249)	Data 0.001 (0.186)	Loss 4.2946 (4.2338)	Prec@1 9.375 (12.153)	Prec@5 31.250 (32.189)
Epoch: [31][2430/7045]	Time 0.356 (0.249)	Data 0.303 (0.186)	Loss 4.0906 (4.2336)	Prec@1 12.109 (12.154)	Prec@5 36.719 (32.200)
Epoch: [31][2440/7045]	Time 0.102 (0.249)	Data 0.017 (0.186)	Loss 4.3189 (4.2335)	Prec@1 12.109 (12.156)	Prec@5 32.031 (32.200)
Epoch: [31][2450/7045]	Time 0.301 (0.249)	Data 0.249 (0.185)	Loss 4.2266 (4.2334)	Prec@1 11.328 (12.157)	Prec@5 33.594 (32.204)
Epoch: [31][2460/7045]	Time 0.109 (0.248)	Data 0.057 (0.185)	Loss 4.0842 (4.2333)	Prec@1 13.281 (12.157)	Prec@5 31.250 (32.202)
Epoch: [31][2470/7045]	Time 0.295 (0.248)	Data 0.243 (0.185)	Loss 4.3804 (4.2329)	Prec@1 10.156 (12.162)	Prec@5 30.078 (32.211)
Epoch: [31][2480/7045]	Time 0.146 (0.248)	Data 0.095 (0.185)	Loss 4.2974 (4.2327)	Prec@1 6.641 (12.164)	Prec@5 29.297 (32.213)
Epoch: [31][2490/7045]	Time 0.106 (0.248)	Data 0.054 (0.185)	Loss 4.2940 (4.2327)	Prec@1 9.766 (12.165)	Prec@5 32.812 (32.218)
Epoch: [31][2500/7045]	Time 0.102 (0.248)	Data 0.013 (0.185)	Loss 4.1888 (4.2326)	Prec@1 14.062 (12.168)	Prec@5 33.984 (32.218)
Epoch: [31][2510/7045]	Time 0.383 (0.249)	Data 0.332 (0.185)	Loss 4.0911 (4.2322)	Prec@1 13.672 (12.173)	Prec@5 35.547 (32.223)
Epoch: [31][2520/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 4.1510 (4.2319)	Prec@1 12.891 (12.171)	Prec@5 32.812 (32.225)
Epoch: [31][2530/7045]	Time 0.374 (0.249)	Data 0.320 (0.185)	Loss 4.2590 (4.2316)	Prec@1 10.156 (12.172)	Prec@5 30.469 (32.232)
Epoch: [31][2540/7045]	Time 0.205 (0.248)	Data 0.153 (0.185)	Loss 4.2636 (4.2314)	Prec@1 11.719 (12.174)	Prec@5 35.547 (32.239)
Epoch: [31][2550/7045]	Time 0.303 (0.248)	Data 0.252 (0.185)	Loss 4.2103 (4.2313)	Prec@1 11.719 (12.174)	Prec@5 34.375 (32.245)
Epoch: [31][2560/7045]	Time 0.554 (0.248)	Data 0.503 (0.185)	Loss 4.1181 (4.2309)	Prec@1 11.719 (12.178)	Prec@5 36.328 (32.255)
Epoch: [31][2570/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 4.2680 (4.2308)	Prec@1 10.938 (12.182)	Prec@5 30.859 (32.256)
Epoch: [31][2580/7045]	Time 0.277 (0.248)	Data 0.216 (0.185)	Loss 4.3495 (4.2308)	Prec@1 12.109 (12.179)	Prec@5 30.078 (32.253)
Epoch: [31][2590/7045]	Time 0.111 (0.248)	Data 0.060 (0.185)	Loss 4.2482 (4.2306)	Prec@1 12.500 (12.183)	Prec@5 33.203 (32.256)
Epoch: [31][2600/7045]	Time 0.123 (0.248)	Data 0.073 (0.185)	Loss 4.1771 (4.2305)	Prec@1 12.109 (12.189)	Prec@5 33.594 (32.262)
Epoch: [31][2610/7045]	Time 0.101 (0.248)	Data 0.002 (0.185)	Loss 4.2280 (4.2303)	Prec@1 12.500 (12.192)	Prec@5 35.547 (32.263)
Epoch: [31][2620/7045]	Time 0.416 (0.248)	Data 0.366 (0.185)	Loss 4.0924 (4.2302)	Prec@1 8.594 (12.189)	Prec@5 35.156 (32.266)
Epoch: [31][2630/7045]	Time 0.378 (0.248)	Data 0.327 (0.185)	Loss 4.0920 (4.2297)	Prec@1 15.234 (12.194)	Prec@5 35.547 (32.276)
Epoch: [31][2640/7045]	Time 0.375 (0.248)	Data 0.324 (0.185)	Loss 4.3238 (4.2297)	Prec@1 10.938 (12.197)	Prec@5 29.688 (32.277)
Epoch: [31][2650/7045]	Time 0.570 (0.249)	Data 0.518 (0.185)	Loss 4.1034 (4.2296)	Prec@1 12.500 (12.197)	Prec@5 33.984 (32.281)
Epoch: [31][2660/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 4.3727 (4.2295)	Prec@1 10.547 (12.196)	Prec@5 30.859 (32.283)
Epoch: [31][2670/7045]	Time 0.494 (0.249)	Data 0.442 (0.185)	Loss 4.1515 (4.2292)	Prec@1 16.797 (12.202)	Prec@5 35.938 (32.290)
Epoch: [31][2680/7045]	Time 0.101 (0.248)	Data 0.050 (0.185)	Loss 4.3338 (4.2291)	Prec@1 14.453 (12.203)	Prec@5 33.594 (32.295)
Epoch: [31][2690/7045]	Time 0.230 (0.249)	Data 0.179 (0.185)	Loss 4.2151 (4.2290)	Prec@1 10.547 (12.206)	Prec@5 30.078 (32.297)
Epoch: [31][2700/7045]	Time 0.103 (0.248)	Data 0.001 (0.185)	Loss 4.0992 (4.2290)	Prec@1 14.844 (12.207)	Prec@5 33.594 (32.293)
Epoch: [31][2710/7045]	Time 0.102 (0.249)	Data 0.002 (0.185)	Loss 4.3385 (4.2291)	Prec@1 12.109 (12.207)	Prec@5 30.859 (32.295)
Epoch: [31][2720/7045]	Time 0.113 (0.248)	Data 0.062 (0.185)	Loss 4.2974 (4.2291)	Prec@1 12.500 (12.206)	Prec@5 30.078 (32.297)
Epoch: [31][2730/7045]	Time 0.366 (0.249)	Data 0.315 (0.185)	Loss 4.3559 (4.2289)	Prec@1 11.719 (12.209)	Prec@5 31.641 (32.304)
Epoch: [31][2740/7045]	Time 0.145 (0.248)	Data 0.094 (0.185)	Loss 4.2543 (4.2288)	Prec@1 11.328 (12.211)	Prec@5 32.812 (32.306)
Epoch: [31][2750/7045]	Time 0.152 (0.248)	Data 0.102 (0.185)	Loss 4.0641 (4.2285)	Prec@1 15.625 (12.216)	Prec@5 33.594 (32.313)
Epoch: [31][2760/7045]	Time 0.463 (0.248)	Data 0.411 (0.185)	Loss 4.0500 (4.2284)	Prec@1 12.891 (12.216)	Prec@5 35.156 (32.317)
Epoch: [31][2770/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 4.2962 (4.2281)	Prec@1 12.109 (12.222)	Prec@5 30.078 (32.327)
Epoch: [31][2780/7045]	Time 0.730 (0.249)	Data 0.680 (0.185)	Loss 4.0587 (4.2279)	Prec@1 12.891 (12.222)	Prec@5 39.453 (32.334)
Epoch: [31][2790/7045]	Time 0.157 (0.248)	Data 0.106 (0.185)	Loss 3.9220 (4.2278)	Prec@1 18.359 (12.223)	Prec@5 39.844 (32.336)
Epoch: [31][2800/7045]	Time 0.584 (0.249)	Data 0.532 (0.185)	Loss 3.9552 (4.2276)	Prec@1 15.625 (12.225)	Prec@5 35.938 (32.341)
Epoch: [31][2810/7045]	Time 0.102 (0.248)	Data 0.007 (0.185)	Loss 4.3962 (4.2274)	Prec@1 10.938 (12.231)	Prec@5 32.422 (32.344)
Epoch: [31][2820/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.2626 (4.2271)	Prec@1 13.281 (12.237)	Prec@5 29.297 (32.351)
Epoch: [31][2830/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 4.2264 (4.2267)	Prec@1 12.500 (12.242)	Prec@5 31.641 (32.358)
Epoch: [31][2840/7045]	Time 0.103 (0.248)	Data 0.030 (0.185)	Loss 4.0869 (4.2266)	Prec@1 13.672 (12.242)	Prec@5 34.375 (32.362)
Epoch: [31][2850/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 4.0742 (4.2265)	Prec@1 12.500 (12.239)	Prec@5 38.281 (32.363)
Epoch: [31][2860/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 4.2083 (4.2260)	Prec@1 10.547 (12.243)	Prec@5 34.375 (32.372)
Epoch: [31][2870/7045]	Time 0.164 (0.248)	Data 0.112 (0.185)	Loss 4.1960 (4.2258)	Prec@1 15.625 (12.245)	Prec@5 35.156 (32.378)
Epoch: [31][2880/7045]	Time 0.103 (0.248)	Data 0.001 (0.185)	Loss 4.0823 (4.2254)	Prec@1 16.406 (12.252)	Prec@5 35.938 (32.387)
Epoch: [31][2890/7045]	Time 0.270 (0.249)	Data 0.220 (0.185)	Loss 4.3010 (4.2250)	Prec@1 12.891 (12.257)	Prec@5 30.859 (32.392)
Epoch: [31][2900/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 4.0830 (4.2250)	Prec@1 13.672 (12.258)	Prec@5 37.109 (32.397)
Epoch: [31][2910/7045]	Time 0.504 (0.249)	Data 0.453 (0.185)	Loss 4.3507 (4.2249)	Prec@1 14.453 (12.260)	Prec@5 29.688 (32.399)
Epoch: [31][2920/7045]	Time 0.270 (0.248)	Data 0.218 (0.185)	Loss 4.2558 (4.2247)	Prec@1 12.109 (12.263)	Prec@5 30.469 (32.403)
Epoch: [31][2930/7045]	Time 0.522 (0.248)	Data 0.470 (0.185)	Loss 4.1442 (4.2244)	Prec@1 13.672 (12.267)	Prec@5 33.984 (32.408)
Epoch: [31][2940/7045]	Time 0.110 (0.248)	Data 0.057 (0.185)	Loss 4.1747 (4.2244)	Prec@1 12.891 (12.266)	Prec@5 32.031 (32.408)
Epoch: [31][2950/7045]	Time 0.109 (0.248)	Data 0.056 (0.185)	Loss 4.0561 (4.2245)	Prec@1 12.500 (12.262)	Prec@5 33.594 (32.404)
Epoch: [31][2960/7045]	Time 0.109 (0.248)	Data 0.058 (0.185)	Loss 4.1177 (4.2243)	Prec@1 12.109 (12.262)	Prec@5 35.938 (32.407)
Epoch: [31][2970/7045]	Time 0.149 (0.248)	Data 0.096 (0.185)	Loss 4.1491 (4.2242)	Prec@1 15.625 (12.263)	Prec@5 34.375 (32.408)
Epoch: [31][2980/7045]	Time 0.112 (0.248)	Data 0.061 (0.185)	Loss 4.1842 (4.2241)	Prec@1 13.672 (12.266)	Prec@5 32.031 (32.412)
Epoch: [31][2990/7045]	Time 0.193 (0.249)	Data 0.141 (0.185)	Loss 4.0835 (4.2239)	Prec@1 16.016 (12.271)	Prec@5 33.594 (32.416)
Epoch: [31][3000/7045]	Time 0.314 (0.249)	Data 0.262 (0.185)	Loss 4.0872 (4.2238)	Prec@1 15.234 (12.277)	Prec@5 38.672 (32.420)
Epoch: [31][3010/7045]	Time 0.100 (0.248)	Data 0.011 (0.185)	Loss 4.1480 (4.2238)	Prec@1 14.844 (12.282)	Prec@5 37.109 (32.420)
Epoch: [31][3020/7045]	Time 0.105 (0.249)	Data 0.052 (0.185)	Loss 4.2719 (4.2237)	Prec@1 13.281 (12.282)	Prec@5 30.859 (32.421)
Epoch: [31][3030/7045]	Time 0.230 (0.249)	Data 0.178 (0.185)	Loss 4.1586 (4.2236)	Prec@1 9.766 (12.284)	Prec@5 33.594 (32.422)
Epoch: [31][3040/7045]	Time 0.250 (0.249)	Data 0.198 (0.185)	Loss 4.0502 (4.2235)	Prec@1 10.938 (12.285)	Prec@5 33.594 (32.424)
Epoch: [31][3050/7045]	Time 0.535 (0.249)	Data 0.483 (0.185)	Loss 4.0537 (4.2233)	Prec@1 12.109 (12.284)	Prec@5 33.984 (32.425)
Epoch: [31][3060/7045]	Time 0.105 (0.249)	Data 0.053 (0.185)	Loss 4.2398 (4.2232)	Prec@1 10.938 (12.285)	Prec@5 30.859 (32.430)
Epoch: [31][3070/7045]	Time 0.224 (0.249)	Data 0.172 (0.185)	Loss 4.3278 (4.2230)	Prec@1 11.328 (12.285)	Prec@5 29.688 (32.431)
Epoch: [31][3080/7045]	Time 0.555 (0.249)	Data 0.503 (0.185)	Loss 4.2024 (4.2229)	Prec@1 16.016 (12.290)	Prec@5 34.375 (32.438)
Epoch: [31][3090/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 3.9799 (4.2229)	Prec@1 16.016 (12.292)	Prec@5 36.719 (32.438)
Epoch: [31][3100/7045]	Time 0.723 (0.249)	Data 0.672 (0.185)	Loss 4.1728 (4.2228)	Prec@1 12.891 (12.295)	Prec@5 31.641 (32.444)
Epoch: [31][3110/7045]	Time 0.112 (0.249)	Data 0.062 (0.185)	Loss 4.0800 (4.2226)	Prec@1 12.109 (12.294)	Prec@5 35.547 (32.444)
Epoch: [31][3120/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.0823 (4.2226)	Prec@1 12.500 (12.297)	Prec@5 33.594 (32.443)
Epoch: [31][3130/7045]	Time 0.114 (0.249)	Data 0.062 (0.185)	Loss 4.3402 (4.2225)	Prec@1 14.062 (12.297)	Prec@5 31.250 (32.443)
Epoch: [31][3140/7045]	Time 0.152 (0.249)	Data 0.099 (0.185)	Loss 4.1559 (4.2225)	Prec@1 14.062 (12.296)	Prec@5 33.594 (32.444)
Epoch: [31][3150/7045]	Time 0.288 (0.249)	Data 0.233 (0.185)	Loss 4.1595 (4.2224)	Prec@1 11.719 (12.296)	Prec@5 33.594 (32.444)
Epoch: [31][3160/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.0818 (4.2223)	Prec@1 19.531 (12.300)	Prec@5 37.109 (32.447)
Epoch: [31][3170/7045]	Time 0.391 (0.249)	Data 0.340 (0.185)	Loss 4.2473 (4.2221)	Prec@1 10.938 (12.300)	Prec@5 31.250 (32.448)
Epoch: [31][3180/7045]	Time 0.101 (0.249)	Data 0.012 (0.185)	Loss 4.1203 (4.2221)	Prec@1 17.578 (12.302)	Prec@5 34.766 (32.449)
Epoch: [31][3190/7045]	Time 0.103 (0.249)	Data 0.050 (0.185)	Loss 4.0383 (4.2215)	Prec@1 14.453 (12.309)	Prec@5 37.109 (32.458)
Epoch: [31][3200/7045]	Time 0.560 (0.249)	Data 0.499 (0.185)	Loss 4.1437 (4.2214)	Prec@1 12.891 (12.312)	Prec@5 37.109 (32.461)
Epoch: [31][3210/7045]	Time 0.099 (0.249)	Data 0.001 (0.185)	Loss 4.2468 (4.2213)	Prec@1 14.844 (12.312)	Prec@5 32.812 (32.463)
Epoch: [31][3220/7045]	Time 0.580 (0.249)	Data 0.529 (0.185)	Loss 4.1484 (4.2211)	Prec@1 13.281 (12.316)	Prec@5 32.031 (32.468)
Epoch: [31][3230/7045]	Time 0.114 (0.249)	Data 0.062 (0.185)	Loss 4.2103 (4.2209)	Prec@1 10.156 (12.315)	Prec@5 35.156 (32.473)
Epoch: [31][3240/7045]	Time 0.543 (0.249)	Data 0.493 (0.185)	Loss 4.1279 (4.2209)	Prec@1 13.672 (12.314)	Prec@5 35.938 (32.471)
Epoch: [31][3250/7045]	Time 0.454 (0.249)	Data 0.403 (0.185)	Loss 4.0407 (4.2207)	Prec@1 12.109 (12.313)	Prec@5 37.500 (32.478)
Epoch: [31][3260/7045]	Time 0.098 (0.249)	Data 0.001 (0.185)	Loss 4.2172 (4.2204)	Prec@1 12.500 (12.318)	Prec@5 36.328 (32.487)
Epoch: [31][3270/7045]	Time 0.380 (0.249)	Data 0.330 (0.185)	Loss 4.0342 (4.2203)	Prec@1 16.797 (12.323)	Prec@5 41.797 (32.492)
Epoch: [31][3280/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.2434 (4.2201)	Prec@1 13.672 (12.324)	Prec@5 33.203 (32.497)
Epoch: [31][3290/7045]	Time 0.110 (0.249)	Data 0.056 (0.185)	Loss 4.2427 (4.2199)	Prec@1 14.453 (12.325)	Prec@5 32.812 (32.502)
Epoch: [31][3300/7045]	Time 0.108 (0.249)	Data 0.056 (0.185)	Loss 4.0515 (4.2198)	Prec@1 15.625 (12.328)	Prec@5 35.547 (32.505)
Epoch: [31][3310/7045]	Time 0.118 (0.249)	Data 0.066 (0.185)	Loss 4.1945 (4.2196)	Prec@1 10.938 (12.330)	Prec@5 30.469 (32.505)
Epoch: [31][3320/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.1680 (4.2195)	Prec@1 8.594 (12.329)	Prec@5 30.859 (32.504)
Epoch: [31][3330/7045]	Time 0.121 (0.249)	Data 0.061 (0.185)	Loss 4.0714 (4.2194)	Prec@1 12.891 (12.330)	Prec@5 34.766 (32.510)
Epoch: [31][3340/7045]	Time 0.236 (0.249)	Data 0.185 (0.185)	Loss 4.2479 (4.2191)	Prec@1 12.109 (12.332)	Prec@5 31.641 (32.517)
Epoch: [31][3350/7045]	Time 0.107 (0.249)	Data 0.056 (0.185)	Loss 4.1505 (4.2188)	Prec@1 14.844 (12.334)	Prec@5 33.984 (32.522)
Epoch: [31][3360/7045]	Time 0.270 (0.249)	Data 0.219 (0.185)	Loss 4.1636 (4.2187)	Prec@1 14.062 (12.337)	Prec@5 36.328 (32.525)
Epoch: [31][3370/7045]	Time 0.101 (0.249)	Data 0.017 (0.185)	Loss 4.0988 (4.2186)	Prec@1 12.500 (12.338)	Prec@5 34.766 (32.529)
Epoch: [31][3380/7045]	Time 0.754 (0.249)	Data 0.701 (0.185)	Loss 3.9972 (4.2182)	Prec@1 15.625 (12.340)	Prec@5 38.672 (32.538)
Epoch: [31][3390/7045]	Time 0.188 (0.249)	Data 0.137 (0.185)	Loss 4.1296 (4.2179)	Prec@1 12.109 (12.344)	Prec@5 33.203 (32.547)
Epoch: [31][3400/7045]	Time 0.526 (0.249)	Data 0.476 (0.185)	Loss 4.1534 (4.2179)	Prec@1 14.062 (12.346)	Prec@5 35.547 (32.550)
Epoch: [31][3410/7045]	Time 0.272 (0.249)	Data 0.219 (0.185)	Loss 4.0833 (4.2177)	Prec@1 12.891 (12.348)	Prec@5 33.984 (32.553)
Epoch: [31][3420/7045]	Time 0.111 (0.249)	Data 0.001 (0.185)	Loss 4.1509 (4.2176)	Prec@1 12.109 (12.348)	Prec@5 32.031 (32.555)
Epoch: [31][3430/7045]	Time 0.293 (0.249)	Data 0.242 (0.185)	Loss 4.2580 (4.2173)	Prec@1 12.500 (12.349)	Prec@5 29.688 (32.558)
Epoch: [31][3440/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 4.2431 (4.2174)	Prec@1 14.844 (12.351)	Prec@5 31.250 (32.556)
Epoch: [31][3450/7045]	Time 0.137 (0.249)	Data 0.087 (0.185)	Loss 4.1078 (4.2173)	Prec@1 12.891 (12.351)	Prec@5 33.984 (32.558)
Epoch: [31][3460/7045]	Time 0.246 (0.249)	Data 0.196 (0.185)	Loss 4.0412 (4.2170)	Prec@1 14.062 (12.353)	Prec@5 31.641 (32.566)
Epoch: [31][3470/7045]	Time 0.190 (0.249)	Data 0.139 (0.185)	Loss 4.2584 (4.2169)	Prec@1 12.109 (12.353)	Prec@5 30.859 (32.569)
Epoch: [31][3480/7045]	Time 0.371 (0.249)	Data 0.320 (0.185)	Loss 4.1057 (4.2168)	Prec@1 13.672 (12.353)	Prec@5 36.328 (32.571)
Epoch: [31][3490/7045]	Time 0.102 (0.249)	Data 0.004 (0.185)	Loss 4.1380 (4.2167)	Prec@1 12.891 (12.355)	Prec@5 33.203 (32.571)
Epoch: [31][3500/7045]	Time 0.100 (0.249)	Data 0.001 (0.185)	Loss 4.1381 (4.2165)	Prec@1 14.844 (12.360)	Prec@5 35.156 (32.576)
Epoch: [31][3510/7045]	Time 0.101 (0.249)	Data 0.012 (0.185)	Loss 4.1949 (4.2163)	Prec@1 12.109 (12.364)	Prec@5 32.031 (32.581)
Epoch: [31][3520/7045]	Time 0.214 (0.249)	Data 0.163 (0.185)	Loss 4.1571 (4.2162)	Prec@1 10.156 (12.365)	Prec@5 33.203 (32.584)
Epoch: [31][3530/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.2367 (4.2160)	Prec@1 15.234 (12.368)	Prec@5 35.156 (32.588)
Epoch: [31][3540/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 4.0695 (4.2158)	Prec@1 15.234 (12.371)	Prec@5 30.859 (32.595)
Epoch: [31][3550/7045]	Time 0.133 (0.249)	Data 0.081 (0.185)	Loss 4.1933 (4.2156)	Prec@1 11.328 (12.376)	Prec@5 33.594 (32.604)
Epoch: [31][3560/7045]	Time 0.100 (0.249)	Data 0.001 (0.185)	Loss 4.1129 (4.2154)	Prec@1 10.938 (12.376)	Prec@5 33.984 (32.609)
Epoch: [31][3570/7045]	Time 0.178 (0.249)	Data 0.127 (0.185)	Loss 4.3660 (4.2153)	Prec@1 9.766 (12.376)	Prec@5 31.250 (32.611)
Epoch: [31][3580/7045]	Time 0.111 (0.249)	Data 0.058 (0.185)	Loss 4.2265 (4.2152)	Prec@1 12.891 (12.376)	Prec@5 31.250 (32.615)
Epoch: [31][3590/7045]	Time 0.351 (0.249)	Data 0.288 (0.185)	Loss 3.9926 (4.2149)	Prec@1 19.141 (12.379)	Prec@5 38.281 (32.622)
Epoch: [31][3600/7045]	Time 0.100 (0.249)	Data 0.001 (0.185)	Loss 4.1631 (4.2148)	Prec@1 12.500 (12.382)	Prec@5 30.859 (32.626)
Epoch: [31][3610/7045]	Time 0.207 (0.249)	Data 0.156 (0.185)	Loss 4.1165 (4.2145)	Prec@1 16.016 (12.387)	Prec@5 35.156 (32.633)
Epoch: [31][3620/7045]	Time 0.197 (0.249)	Data 0.145 (0.185)	Loss 4.2727 (4.2145)	Prec@1 10.547 (12.386)	Prec@5 27.734 (32.635)
Epoch: [31][3630/7045]	Time 0.484 (0.249)	Data 0.432 (0.185)	Loss 4.1567 (4.2144)	Prec@1 10.156 (12.388)	Prec@5 31.250 (32.633)
Epoch: [31][3640/7045]	Time 0.229 (0.249)	Data 0.178 (0.185)	Loss 4.1325 (4.2142)	Prec@1 14.844 (12.390)	Prec@5 36.719 (32.639)
Epoch: [31][3650/7045]	Time 0.410 (0.249)	Data 0.360 (0.185)	Loss 4.1945 (4.2140)	Prec@1 14.844 (12.394)	Prec@5 34.766 (32.642)
Epoch: [31][3660/7045]	Time 0.109 (0.249)	Data 0.011 (0.185)	Loss 4.1408 (4.2139)	Prec@1 14.062 (12.398)	Prec@5 33.594 (32.650)
Epoch: [31][3670/7045]	Time 0.310 (0.249)	Data 0.258 (0.185)	Loss 4.2071 (4.2138)	Prec@1 17.578 (12.401)	Prec@5 35.547 (32.653)
Epoch: [31][3680/7045]	Time 0.130 (0.249)	Data 0.079 (0.185)	Loss 3.9999 (4.2138)	Prec@1 16.797 (12.402)	Prec@5 38.281 (32.653)
Epoch: [31][3690/7045]	Time 0.101 (0.249)	Data 0.008 (0.185)	Loss 4.0186 (4.2134)	Prec@1 17.188 (12.407)	Prec@5 37.109 (32.662)
Epoch: [31][3700/7045]	Time 0.537 (0.249)	Data 0.486 (0.185)	Loss 4.0729 (4.2133)	Prec@1 16.797 (12.409)	Prec@5 36.328 (32.662)
Epoch: [31][3710/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.1745 (4.2132)	Prec@1 12.109 (12.411)	Prec@5 34.766 (32.667)
Epoch: [31][3720/7045]	Time 0.727 (0.249)	Data 0.675 (0.185)	Loss 4.1811 (4.2131)	Prec@1 12.891 (12.414)	Prec@5 31.641 (32.669)
Epoch: [31][3730/7045]	Time 0.109 (0.249)	Data 0.006 (0.185)	Loss 4.0702 (4.2130)	Prec@1 13.672 (12.413)	Prec@5 35.938 (32.672)
Epoch: [31][3740/7045]	Time 0.628 (0.249)	Data 0.577 (0.185)	Loss 4.0984 (4.2127)	Prec@1 13.672 (12.417)	Prec@5 36.719 (32.681)
Epoch: [31][3750/7045]	Time 0.125 (0.249)	Data 0.073 (0.185)	Loss 4.2196 (4.2126)	Prec@1 12.500 (12.417)	Prec@5 28.516 (32.683)
Epoch: [31][3760/7045]	Time 0.429 (0.249)	Data 0.377 (0.185)	Loss 4.1704 (4.2124)	Prec@1 14.062 (12.421)	Prec@5 35.547 (32.687)
Epoch: [31][3770/7045]	Time 0.392 (0.249)	Data 0.341 (0.185)	Loss 4.0820 (4.2122)	Prec@1 10.938 (12.419)	Prec@5 34.766 (32.690)
Epoch: [31][3780/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.2170 (4.2122)	Prec@1 12.891 (12.421)	Prec@5 32.812 (32.690)
Epoch: [31][3790/7045]	Time 0.578 (0.249)	Data 0.526 (0.185)	Loss 4.1724 (4.2121)	Prec@1 10.938 (12.422)	Prec@5 36.328 (32.693)
Epoch: [31][3800/7045]	Time 0.318 (0.249)	Data 0.257 (0.185)	Loss 4.0165 (4.2119)	Prec@1 13.281 (12.424)	Prec@5 36.719 (32.697)
Epoch: [31][3810/7045]	Time 0.289 (0.249)	Data 0.238 (0.185)	Loss 4.0714 (4.2117)	Prec@1 16.406 (12.426)	Prec@5 32.422 (32.701)
Epoch: [31][3820/7045]	Time 0.101 (0.249)	Data 0.013 (0.185)	Loss 4.2780 (4.2117)	Prec@1 10.156 (12.428)	Prec@5 33.594 (32.700)
Epoch: [31][3830/7045]	Time 0.111 (0.249)	Data 0.001 (0.185)	Loss 4.0940 (4.2116)	Prec@1 13.281 (12.428)	Prec@5 34.375 (32.702)
Epoch: [31][3840/7045]	Time 0.102 (0.249)	Data 0.050 (0.185)	Loss 4.1707 (4.2115)	Prec@1 9.766 (12.430)	Prec@5 32.812 (32.704)
Epoch: [31][3850/7045]	Time 0.131 (0.249)	Data 0.080 (0.185)	Loss 4.1009 (4.2112)	Prec@1 10.938 (12.432)	Prec@5 35.938 (32.709)
Epoch: [31][3860/7045]	Time 0.266 (0.249)	Data 0.215 (0.185)	Loss 4.1694 (4.2110)	Prec@1 14.453 (12.436)	Prec@5 33.984 (32.711)
Epoch: [31][3870/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.3352 (4.2108)	Prec@1 10.547 (12.438)	Prec@5 25.781 (32.715)
Epoch: [31][3880/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.2466 (4.2107)	Prec@1 12.109 (12.439)	Prec@5 29.297 (32.715)
Epoch: [31][3890/7045]	Time 0.431 (0.249)	Data 0.379 (0.185)	Loss 4.0364 (4.2105)	Prec@1 12.891 (12.438)	Prec@5 35.547 (32.717)
Epoch: [31][3900/7045]	Time 0.116 (0.249)	Data 0.064 (0.185)	Loss 4.2492 (4.2104)	Prec@1 11.328 (12.441)	Prec@5 29.688 (32.716)
Epoch: [31][3910/7045]	Time 0.553 (0.249)	Data 0.501 (0.185)	Loss 4.2643 (4.2104)	Prec@1 13.672 (12.440)	Prec@5 30.078 (32.714)
Epoch: [31][3920/7045]	Time 0.101 (0.249)	Data 0.014 (0.185)	Loss 4.0281 (4.2102)	Prec@1 15.234 (12.442)	Prec@5 41.797 (32.720)
Epoch: [31][3930/7045]	Time 0.109 (0.249)	Data 0.056 (0.185)	Loss 4.1831 (4.2101)	Prec@1 13.672 (12.441)	Prec@5 35.547 (32.721)
Epoch: [31][3940/7045]	Time 0.779 (0.249)	Data 0.718 (0.185)	Loss 4.3109 (4.2101)	Prec@1 12.109 (12.440)	Prec@5 28.125 (32.718)
Epoch: [31][3950/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.1469 (4.2099)	Prec@1 12.500 (12.443)	Prec@5 31.641 (32.722)
Epoch: [31][3960/7045]	Time 0.588 (0.249)	Data 0.536 (0.185)	Loss 4.1303 (4.2097)	Prec@1 14.062 (12.445)	Prec@5 32.422 (32.723)
Epoch: [31][3970/7045]	Time 0.101 (0.249)	Data 0.047 (0.185)	Loss 4.1323 (4.2094)	Prec@1 10.156 (12.452)	Prec@5 34.766 (32.731)
Epoch: [31][3980/7045]	Time 0.164 (0.249)	Data 0.112 (0.185)	Loss 4.0588 (4.2090)	Prec@1 14.062 (12.456)	Prec@5 35.156 (32.739)
Epoch: [31][3990/7045]	Time 0.448 (0.249)	Data 0.397 (0.185)	Loss 4.1818 (4.2091)	Prec@1 13.281 (12.455)	Prec@5 35.156 (32.739)
Epoch: [31][4000/7045]	Time 0.101 (0.249)	Data 0.020 (0.185)	Loss 4.0957 (4.2089)	Prec@1 10.938 (12.456)	Prec@5 32.031 (32.743)
Epoch: [31][4010/7045]	Time 0.263 (0.249)	Data 0.211 (0.185)	Loss 4.3101 (4.2087)	Prec@1 9.375 (12.457)	Prec@5 31.250 (32.747)
Epoch: [31][4020/7045]	Time 0.122 (0.249)	Data 0.070 (0.185)	Loss 4.2445 (4.2086)	Prec@1 10.547 (12.459)	Prec@5 35.156 (32.748)
Epoch: [31][4030/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.1874 (4.2085)	Prec@1 13.672 (12.461)	Prec@5 31.250 (32.749)
Epoch: [31][4040/7045]	Time 0.182 (0.249)	Data 0.132 (0.185)	Loss 3.9859 (4.2083)	Prec@1 16.797 (12.463)	Prec@5 38.672 (32.754)
Epoch: [31][4050/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 4.0394 (4.2081)	Prec@1 14.453 (12.466)	Prec@5 38.281 (32.756)
Epoch: [31][4060/7045]	Time 0.469 (0.249)	Data 0.418 (0.185)	Loss 4.2202 (4.2079)	Prec@1 12.109 (12.468)	Prec@5 35.547 (32.761)
Epoch: [31][4070/7045]	Time 0.129 (0.249)	Data 0.078 (0.185)	Loss 4.2886 (4.2077)	Prec@1 9.766 (12.469)	Prec@5 30.859 (32.764)
Epoch: [31][4080/7045]	Time 0.405 (0.249)	Data 0.354 (0.185)	Loss 4.1897 (4.2075)	Prec@1 13.672 (12.471)	Prec@5 33.984 (32.768)
Epoch: [31][4090/7045]	Time 0.307 (0.249)	Data 0.256 (0.185)	Loss 4.1018 (4.2073)	Prec@1 15.234 (12.474)	Prec@5 35.156 (32.773)
Epoch: [31][4100/7045]	Time 0.119 (0.249)	Data 0.069 (0.185)	Loss 4.1025 (4.2071)	Prec@1 14.844 (12.478)	Prec@5 36.328 (32.776)
Epoch: [31][4110/7045]	Time 0.364 (0.249)	Data 0.314 (0.185)	Loss 4.2579 (4.2070)	Prec@1 11.328 (12.477)	Prec@5 31.641 (32.780)
Epoch: [31][4120/7045]	Time 0.180 (0.249)	Data 0.130 (0.185)	Loss 4.3322 (4.2069)	Prec@1 9.766 (12.479)	Prec@5 28.516 (32.783)
Epoch: [31][4130/7045]	Time 0.370 (0.249)	Data 0.318 (0.185)	Loss 4.0172 (4.2066)	Prec@1 12.109 (12.481)	Prec@5 35.156 (32.787)
Epoch: [31][4140/7045]	Time 0.104 (0.249)	Data 0.052 (0.185)	Loss 4.2213 (4.2065)	Prec@1 13.281 (12.484)	Prec@5 36.719 (32.792)
Epoch: [31][4150/7045]	Time 0.111 (0.249)	Data 0.016 (0.185)	Loss 4.0772 (4.2062)	Prec@1 16.016 (12.486)	Prec@5 38.672 (32.797)
Epoch: [31][4160/7045]	Time 0.104 (0.249)	Data 0.050 (0.185)	Loss 4.0651 (4.2060)	Prec@1 13.672 (12.488)	Prec@5 38.281 (32.802)
Epoch: [31][4170/7045]	Time 0.109 (0.249)	Data 0.018 (0.185)	Loss 4.0927 (4.2059)	Prec@1 13.281 (12.490)	Prec@5 37.500 (32.805)
Epoch: [31][4180/7045]	Time 0.116 (0.249)	Data 0.064 (0.185)	Loss 4.0085 (4.2057)	Prec@1 14.453 (12.494)	Prec@5 37.500 (32.812)
Epoch: [31][4190/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 4.2733 (4.2056)	Prec@1 12.109 (12.495)	Prec@5 29.297 (32.813)
Epoch: [31][4200/7045]	Time 0.203 (0.249)	Data 0.152 (0.185)	Loss 4.1857 (4.2056)	Prec@1 16.406 (12.498)	Prec@5 35.156 (32.815)
Epoch: [31][4210/7045]	Time 0.118 (0.249)	Data 0.067 (0.185)	Loss 4.1540 (4.2054)	Prec@1 12.500 (12.500)	Prec@5 33.984 (32.819)
Epoch: [31][4220/7045]	Time 0.529 (0.249)	Data 0.471 (0.185)	Loss 4.2180 (4.2053)	Prec@1 8.984 (12.501)	Prec@5 32.812 (32.821)
Epoch: [31][4230/7045]	Time 0.102 (0.249)	Data 0.018 (0.185)	Loss 4.1025 (4.2051)	Prec@1 15.234 (12.504)	Prec@5 33.594 (32.827)
Epoch: [31][4240/7045]	Time 0.345 (0.249)	Data 0.293 (0.185)	Loss 4.2033 (4.2050)	Prec@1 10.156 (12.505)	Prec@5 31.250 (32.830)
Epoch: [31][4250/7045]	Time 0.106 (0.249)	Data 0.001 (0.185)	Loss 4.1006 (4.2049)	Prec@1 17.188 (12.507)	Prec@5 36.328 (32.833)
Epoch: [31][4260/7045]	Time 0.323 (0.249)	Data 0.272 (0.185)	Loss 4.0530 (4.2048)	Prec@1 14.453 (12.509)	Prec@5 37.109 (32.837)
Epoch: [31][4270/7045]	Time 0.513 (0.249)	Data 0.460 (0.185)	Loss 4.1032 (4.2047)	Prec@1 15.234 (12.512)	Prec@5 39.453 (32.844)
Epoch: [31][4280/7045]	Time 0.102 (0.249)	Data 0.049 (0.185)	Loss 4.2692 (4.2045)	Prec@1 14.844 (12.515)	Prec@5 28.906 (32.850)
Epoch: [31][4290/7045]	Time 0.330 (0.249)	Data 0.278 (0.185)	Loss 4.2016 (4.2045)	Prec@1 12.891 (12.514)	Prec@5 35.938 (32.854)
Epoch: [31][4300/7045]	Time 0.550 (0.249)	Data 0.491 (0.185)	Loss 4.2428 (4.2045)	Prec@1 13.281 (12.513)	Prec@5 31.250 (32.853)
Epoch: [31][4310/7045]	Time 0.144 (0.249)	Data 0.092 (0.185)	Loss 4.2722 (4.2044)	Prec@1 14.062 (12.516)	Prec@5 33.984 (32.857)
Epoch: [31][4320/7045]	Time 0.609 (0.249)	Data 0.552 (0.185)	Loss 4.1159 (4.2043)	Prec@1 11.328 (12.518)	Prec@5 36.719 (32.862)
Epoch: [31][4330/7045]	Time 0.132 (0.249)	Data 0.081 (0.185)	Loss 4.2116 (4.2041)	Prec@1 10.156 (12.521)	Prec@5 31.250 (32.865)
Epoch: [31][4340/7045]	Time 0.116 (0.249)	Data 0.056 (0.185)	Loss 4.1697 (4.2040)	Prec@1 12.500 (12.523)	Prec@5 32.422 (32.867)
Epoch: [31][4350/7045]	Time 0.622 (0.249)	Data 0.563 (0.185)	Loss 4.1343 (4.2038)	Prec@1 14.453 (12.524)	Prec@5 32.422 (32.872)
Epoch: [31][4360/7045]	Time 0.120 (0.249)	Data 0.068 (0.185)	Loss 4.3094 (4.2036)	Prec@1 11.328 (12.528)	Prec@5 30.859 (32.877)
Epoch: [31][4370/7045]	Time 0.424 (0.249)	Data 0.367 (0.185)	Loss 4.0828 (4.2035)	Prec@1 13.672 (12.526)	Prec@5 34.375 (32.878)
Epoch: [31][4380/7045]	Time 0.328 (0.249)	Data 0.278 (0.185)	Loss 4.2213 (4.2034)	Prec@1 9.766 (12.526)	Prec@5 32.422 (32.879)
Epoch: [31][4390/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.2521 (4.2034)	Prec@1 12.500 (12.527)	Prec@5 31.641 (32.880)
Epoch: [31][4400/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.1197 (4.2032)	Prec@1 15.625 (12.531)	Prec@5 35.156 (32.884)
Epoch: [31][4410/7045]	Time 0.486 (0.249)	Data 0.425 (0.185)	Loss 4.0113 (4.2030)	Prec@1 15.625 (12.535)	Prec@5 33.203 (32.889)
Epoch: [31][4420/7045]	Time 0.213 (0.249)	Data 0.161 (0.185)	Loss 4.2050 (4.2028)	Prec@1 11.719 (12.536)	Prec@5 34.375 (32.892)
Epoch: [31][4430/7045]	Time 0.106 (0.249)	Data 0.001 (0.185)	Loss 4.0973 (4.2027)	Prec@1 18.359 (12.539)	Prec@5 35.547 (32.896)
Epoch: [31][4440/7045]	Time 0.107 (0.249)	Data 0.056 (0.185)	Loss 4.1073 (4.2025)	Prec@1 13.672 (12.542)	Prec@5 36.719 (32.902)
Epoch: [31][4450/7045]	Time 0.342 (0.249)	Data 0.292 (0.185)	Loss 4.1217 (4.2024)	Prec@1 12.891 (12.542)	Prec@5 33.984 (32.905)
Epoch: [31][4460/7045]	Time 0.239 (0.249)	Data 0.188 (0.185)	Loss 4.0316 (4.2021)	Prec@1 13.672 (12.545)	Prec@5 37.109 (32.910)
Epoch: [31][4470/7045]	Time 0.296 (0.249)	Data 0.244 (0.185)	Loss 4.1906 (4.2021)	Prec@1 14.062 (12.545)	Prec@5 37.109 (32.916)
Epoch: [31][4480/7045]	Time 0.235 (0.249)	Data 0.184 (0.185)	Loss 4.1230 (4.2020)	Prec@1 18.750 (12.548)	Prec@5 35.156 (32.919)
Epoch: [31][4490/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 4.1969 (4.2019)	Prec@1 8.984 (12.548)	Prec@5 30.469 (32.919)
Epoch: [31][4500/7045]	Time 0.374 (0.249)	Data 0.320 (0.185)	Loss 4.1813 (4.2016)	Prec@1 13.672 (12.552)	Prec@5 32.812 (32.924)
Epoch: [31][4510/7045]	Time 0.551 (0.249)	Data 0.500 (0.185)	Loss 4.1968 (4.2014)	Prec@1 10.938 (12.554)	Prec@5 34.766 (32.929)
Epoch: [31][4520/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.0993 (4.2013)	Prec@1 14.453 (12.556)	Prec@5 35.156 (32.934)
Epoch: [31][4530/7045]	Time 0.215 (0.249)	Data 0.165 (0.185)	Loss 4.1329 (4.2012)	Prec@1 11.719 (12.557)	Prec@5 33.594 (32.934)
Epoch: [31][4540/7045]	Time 0.523 (0.249)	Data 0.472 (0.185)	Loss 4.2514 (4.2011)	Prec@1 14.062 (12.557)	Prec@5 33.984 (32.936)
Epoch: [31][4550/7045]	Time 0.117 (0.249)	Data 0.065 (0.185)	Loss 3.9995 (4.2011)	Prec@1 15.234 (12.557)	Prec@5 34.766 (32.939)
Epoch: [31][4560/7045]	Time 0.508 (0.249)	Data 0.457 (0.185)	Loss 4.0645 (4.2010)	Prec@1 10.547 (12.558)	Prec@5 34.766 (32.940)
Epoch: [31][4570/7045]	Time 0.255 (0.249)	Data 0.203 (0.185)	Loss 4.2812 (4.2008)	Prec@1 14.062 (12.561)	Prec@5 30.078 (32.944)
Epoch: [31][4580/7045]	Time 0.215 (0.249)	Data 0.165 (0.185)	Loss 4.1232 (4.2007)	Prec@1 15.234 (12.563)	Prec@5 33.203 (32.947)
Epoch: [31][4590/7045]	Time 0.377 (0.249)	Data 0.326 (0.185)	Loss 4.0933 (4.2005)	Prec@1 12.891 (12.563)	Prec@5 34.375 (32.947)
Epoch: [31][4600/7045]	Time 0.300 (0.249)	Data 0.248 (0.185)	Loss 4.2020 (4.2004)	Prec@1 14.453 (12.566)	Prec@5 35.156 (32.950)
Epoch: [31][4610/7045]	Time 0.305 (0.249)	Data 0.254 (0.185)	Loss 4.2438 (4.2002)	Prec@1 12.109 (12.568)	Prec@5 30.469 (32.956)
Epoch: [31][4620/7045]	Time 0.380 (0.249)	Data 0.329 (0.185)	Loss 4.2259 (4.2001)	Prec@1 11.328 (12.569)	Prec@5 33.984 (32.959)
Epoch: [31][4630/7045]	Time 0.103 (0.249)	Data 0.002 (0.185)	Loss 4.2893 (4.1999)	Prec@1 10.547 (12.570)	Prec@5 31.641 (32.961)
Epoch: [31][4640/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 4.1883 (4.1998)	Prec@1 11.719 (12.571)	Prec@5 30.469 (32.964)
Epoch: [31][4650/7045]	Time 0.113 (0.249)	Data 0.053 (0.185)	Loss 4.1855 (4.1996)	Prec@1 13.281 (12.575)	Prec@5 33.203 (32.966)
Epoch: [31][4660/7045]	Time 0.279 (0.249)	Data 0.227 (0.185)	Loss 4.1442 (4.1996)	Prec@1 15.234 (12.575)	Prec@5 29.688 (32.967)
Epoch: [31][4670/7045]	Time 0.112 (0.249)	Data 0.060 (0.185)	Loss 4.0415 (4.1994)	Prec@1 12.500 (12.575)	Prec@5 35.547 (32.969)
Epoch: [31][4680/7045]	Time 0.510 (0.249)	Data 0.458 (0.185)	Loss 4.0738 (4.1992)	Prec@1 15.234 (12.577)	Prec@5 33.984 (32.974)
Epoch: [31][4690/7045]	Time 0.242 (0.249)	Data 0.190 (0.185)	Loss 3.9943 (4.1991)	Prec@1 13.281 (12.579)	Prec@5 36.719 (32.978)
Epoch: [31][4700/7045]	Time 0.269 (0.249)	Data 0.218 (0.185)	Loss 4.0092 (4.1990)	Prec@1 12.891 (12.580)	Prec@5 35.938 (32.981)
Epoch: [31][4710/7045]	Time 0.316 (0.249)	Data 0.263 (0.185)	Loss 3.9956 (4.1989)	Prec@1 11.719 (12.579)	Prec@5 36.328 (32.982)
Epoch: [31][4720/7045]	Time 0.126 (0.249)	Data 0.075 (0.185)	Loss 4.1543 (4.1988)	Prec@1 11.328 (12.581)	Prec@5 32.422 (32.984)
Epoch: [31][4730/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.2451 (4.1986)	Prec@1 13.281 (12.583)	Prec@5 29.297 (32.989)
Epoch: [31][4740/7045]	Time 0.142 (0.249)	Data 0.091 (0.185)	Loss 4.3277 (4.1985)	Prec@1 8.984 (12.583)	Prec@5 30.469 (32.991)
Epoch: [31][4750/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.1424 (4.1983)	Prec@1 13.672 (12.586)	Prec@5 30.469 (32.993)
Epoch: [31][4760/7045]	Time 0.571 (0.249)	Data 0.519 (0.185)	Loss 4.2632 (4.1982)	Prec@1 8.594 (12.587)	Prec@5 32.422 (32.994)
Epoch: [31][4770/7045]	Time 0.117 (0.249)	Data 0.064 (0.185)	Loss 3.9786 (4.1979)	Prec@1 17.969 (12.590)	Prec@5 37.500 (33.002)
Epoch: [31][4780/7045]	Time 0.677 (0.249)	Data 0.626 (0.185)	Loss 4.1794 (4.1976)	Prec@1 9.766 (12.593)	Prec@5 33.594 (33.008)
Epoch: [31][4790/7045]	Time 0.106 (0.249)	Data 0.001 (0.185)	Loss 4.0274 (4.1974)	Prec@1 14.453 (12.597)	Prec@5 33.984 (33.014)
Epoch: [31][4800/7045]	Time 0.494 (0.249)	Data 0.443 (0.185)	Loss 4.1210 (4.1973)	Prec@1 13.672 (12.599)	Prec@5 34.766 (33.017)
Epoch: [31][4810/7045]	Time 0.638 (0.249)	Data 0.587 (0.185)	Loss 4.1954 (4.1972)	Prec@1 11.719 (12.602)	Prec@5 33.203 (33.022)
Epoch: [31][4820/7045]	Time 0.269 (0.249)	Data 0.218 (0.185)	Loss 4.1911 (4.1970)	Prec@1 12.500 (12.605)	Prec@5 34.766 (33.026)
Epoch: [31][4830/7045]	Time 0.243 (0.249)	Data 0.192 (0.185)	Loss 3.9522 (4.1969)	Prec@1 17.188 (12.608)	Prec@5 38.672 (33.029)
Epoch: [31][4840/7045]	Time 0.152 (0.249)	Data 0.100 (0.185)	Loss 4.1592 (4.1967)	Prec@1 14.062 (12.611)	Prec@5 33.594 (33.034)
Epoch: [31][4850/7045]	Time 0.126 (0.249)	Data 0.074 (0.185)	Loss 4.2503 (4.1964)	Prec@1 10.547 (12.615)	Prec@5 31.641 (33.040)
Epoch: [31][4860/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.1461 (4.1963)	Prec@1 13.281 (12.617)	Prec@5 34.375 (33.047)
Epoch: [31][4870/7045]	Time 0.121 (0.249)	Data 0.069 (0.185)	Loss 4.0040 (4.1961)	Prec@1 16.406 (12.618)	Prec@5 37.109 (33.051)
Epoch: [31][4880/7045]	Time 0.103 (0.249)	Data 0.001 (0.185)	Loss 4.0494 (4.1959)	Prec@1 15.625 (12.621)	Prec@5 33.594 (33.053)
Epoch: [31][4890/7045]	Time 0.507 (0.249)	Data 0.455 (0.185)	Loss 4.0274 (4.1957)	Prec@1 11.719 (12.622)	Prec@5 37.500 (33.058)
Epoch: [31][4900/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.3222 (4.1955)	Prec@1 8.984 (12.623)	Prec@5 30.859 (33.064)
Epoch: [31][4910/7045]	Time 0.525 (0.249)	Data 0.467 (0.185)	Loss 4.2397 (4.1952)	Prec@1 8.594 (12.626)	Prec@5 31.250 (33.072)
Epoch: [31][4920/7045]	Time 0.230 (0.249)	Data 0.178 (0.185)	Loss 4.2243 (4.1950)	Prec@1 16.406 (12.629)	Prec@5 37.891 (33.078)
Epoch: [31][4930/7045]	Time 0.187 (0.249)	Data 0.125 (0.185)	Loss 4.1945 (4.1949)	Prec@1 15.625 (12.631)	Prec@5 35.547 (33.081)
Epoch: [31][4940/7045]	Time 0.216 (0.249)	Data 0.164 (0.185)	Loss 4.0247 (4.1948)	Prec@1 14.062 (12.634)	Prec@5 36.328 (33.084)
Epoch: [31][4950/7045]	Time 0.141 (0.249)	Data 0.089 (0.185)	Loss 4.1918 (4.1947)	Prec@1 13.672 (12.634)	Prec@5 34.375 (33.088)
Epoch: [31][4960/7045]	Time 0.147 (0.249)	Data 0.095 (0.185)	Loss 4.2978 (4.1947)	Prec@1 12.891 (12.634)	Prec@5 31.641 (33.089)
Epoch: [31][4970/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.1522 (4.1944)	Prec@1 10.938 (12.637)	Prec@5 35.938 (33.098)
Epoch: [31][4980/7045]	Time 0.213 (0.249)	Data 0.161 (0.185)	Loss 3.9973 (4.1943)	Prec@1 14.453 (12.640)	Prec@5 37.109 (33.101)
Epoch: [31][4990/7045]	Time 0.176 (0.249)	Data 0.126 (0.185)	Loss 4.0378 (4.1942)	Prec@1 17.188 (12.643)	Prec@5 39.062 (33.106)
Epoch: [31][5000/7045]	Time 0.218 (0.249)	Data 0.167 (0.185)	Loss 4.1247 (4.1939)	Prec@1 14.453 (12.647)	Prec@5 42.578 (33.114)
Epoch: [31][5010/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 4.1827 (4.1937)	Prec@1 14.453 (12.649)	Prec@5 33.594 (33.119)
Epoch: [31][5020/7045]	Time 0.497 (0.249)	Data 0.446 (0.185)	Loss 4.0750 (4.1936)	Prec@1 13.672 (12.648)	Prec@5 36.719 (33.121)
Epoch: [31][5030/7045]	Time 0.147 (0.249)	Data 0.096 (0.185)	Loss 4.0077 (4.1936)	Prec@1 13.672 (12.647)	Prec@5 37.891 (33.123)
Epoch: [31][5040/7045]	Time 0.162 (0.249)	Data 0.113 (0.185)	Loss 4.1870 (4.1934)	Prec@1 10.938 (12.649)	Prec@5 32.812 (33.126)
Epoch: [31][5050/7045]	Time 0.471 (0.249)	Data 0.420 (0.185)	Loss 4.0916 (4.1934)	Prec@1 16.797 (12.648)	Prec@5 37.500 (33.128)
Epoch: [31][5060/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 4.0609 (4.1932)	Prec@1 14.453 (12.651)	Prec@5 35.156 (33.132)
Epoch: [31][5070/7045]	Time 0.719 (0.249)	Data 0.666 (0.185)	Loss 4.0970 (4.1931)	Prec@1 11.328 (12.653)	Prec@5 36.328 (33.133)
Epoch: [31][5080/7045]	Time 0.166 (0.249)	Data 0.114 (0.185)	Loss 4.0760 (4.1929)	Prec@1 12.891 (12.655)	Prec@5 33.203 (33.136)
Epoch: [31][5090/7045]	Time 0.361 (0.249)	Data 0.310 (0.185)	Loss 4.0988 (4.1927)	Prec@1 15.625 (12.659)	Prec@5 34.766 (33.139)
Epoch: [31][5100/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 3.9827 (4.1926)	Prec@1 16.406 (12.661)	Prec@5 39.062 (33.142)
Epoch: [31][5110/7045]	Time 0.116 (0.249)	Data 0.057 (0.185)	Loss 4.1534 (4.1925)	Prec@1 15.625 (12.663)	Prec@5 33.984 (33.146)
Epoch: [31][5120/7045]	Time 0.103 (0.249)	Data 0.051 (0.185)	Loss 4.0455 (4.1923)	Prec@1 13.672 (12.666)	Prec@5 37.891 (33.151)
Epoch: [31][5130/7045]	Time 0.109 (0.249)	Data 0.015 (0.185)	Loss 4.2577 (4.1921)	Prec@1 12.891 (12.668)	Prec@5 30.859 (33.157)
Epoch: [31][5140/7045]	Time 0.173 (0.249)	Data 0.123 (0.185)	Loss 4.0590 (4.1919)	Prec@1 11.328 (12.671)	Prec@5 35.156 (33.161)
Epoch: [31][5150/7045]	Time 0.288 (0.249)	Data 0.229 (0.185)	Loss 4.2671 (4.1918)	Prec@1 13.281 (12.675)	Prec@5 31.641 (33.164)
Epoch: [31][5160/7045]	Time 0.360 (0.249)	Data 0.310 (0.185)	Loss 3.9078 (4.1916)	Prec@1 17.188 (12.677)	Prec@5 39.844 (33.169)
Epoch: [31][5170/7045]	Time 0.182 (0.249)	Data 0.131 (0.185)	Loss 3.9398 (4.1916)	Prec@1 16.016 (12.677)	Prec@5 37.891 (33.170)
Epoch: [31][5180/7045]	Time 0.133 (0.249)	Data 0.072 (0.185)	Loss 4.1409 (4.1913)	Prec@1 15.625 (12.681)	Prec@5 31.641 (33.177)
Epoch: [31][5190/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.0262 (4.1911)	Prec@1 14.453 (12.681)	Prec@5 36.719 (33.181)
Epoch: [31][5200/7045]	Time 0.111 (0.249)	Data 0.022 (0.185)	Loss 4.2038 (4.1911)	Prec@1 11.328 (12.680)	Prec@5 32.812 (33.179)
Epoch: [31][5210/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.0992 (4.1910)	Prec@1 9.766 (12.679)	Prec@5 32.812 (33.181)
Epoch: [31][5220/7045]	Time 0.114 (0.249)	Data 0.063 (0.185)	Loss 4.0773 (4.1909)	Prec@1 13.672 (12.679)	Prec@5 37.500 (33.185)
Epoch: [31][5230/7045]	Time 0.122 (0.249)	Data 0.069 (0.185)	Loss 4.1179 (4.1907)	Prec@1 13.672 (12.680)	Prec@5 39.062 (33.189)
Epoch: [31][5240/7045]	Time 0.263 (0.249)	Data 0.203 (0.185)	Loss 4.0323 (4.1906)	Prec@1 14.453 (12.680)	Prec@5 35.547 (33.192)
Epoch: [31][5250/7045]	Time 0.300 (0.249)	Data 0.233 (0.185)	Loss 4.2336 (4.1906)	Prec@1 13.281 (12.682)	Prec@5 34.375 (33.196)
Epoch: [31][5260/7045]	Time 0.443 (0.249)	Data 0.391 (0.185)	Loss 4.1726 (4.1903)	Prec@1 13.672 (12.685)	Prec@5 30.859 (33.203)
Epoch: [31][5270/7045]	Time 0.236 (0.249)	Data 0.184 (0.185)	Loss 3.9917 (4.1902)	Prec@1 17.188 (12.688)	Prec@5 34.766 (33.205)
Epoch: [31][5280/7045]	Time 0.142 (0.249)	Data 0.091 (0.186)	Loss 4.3253 (4.1901)	Prec@1 8.984 (12.688)	Prec@5 30.469 (33.205)
Epoch: [31][5290/7045]	Time 0.207 (0.249)	Data 0.156 (0.186)	Loss 4.0028 (4.1900)	Prec@1 15.625 (12.691)	Prec@5 35.156 (33.208)
Epoch: [31][5300/7045]	Time 0.248 (0.249)	Data 0.196 (0.186)	Loss 4.0299 (4.1898)	Prec@1 16.406 (12.692)	Prec@5 37.500 (33.211)
Epoch: [31][5310/7045]	Time 0.101 (0.249)	Data 0.001 (0.186)	Loss 4.2291 (4.1897)	Prec@1 14.062 (12.693)	Prec@5 32.031 (33.215)
Epoch: [31][5320/7045]	Time 0.545 (0.249)	Data 0.494 (0.186)	Loss 4.2034 (4.1895)	Prec@1 12.109 (12.693)	Prec@5 30.469 (33.218)
Epoch: [31][5330/7045]	Time 0.103 (0.249)	Data 0.014 (0.185)	Loss 3.9454 (4.1894)	Prec@1 20.703 (12.695)	Prec@5 37.891 (33.219)
Epoch: [31][5340/7045]	Time 0.675 (0.249)	Data 0.617 (0.186)	Loss 4.1409 (4.1892)	Prec@1 13.281 (12.699)	Prec@5 32.422 (33.224)
Epoch: [31][5350/7045]	Time 0.112 (0.249)	Data 0.001 (0.186)	Loss 4.1932 (4.1890)	Prec@1 15.234 (12.701)	Prec@5 34.766 (33.228)
Epoch: [31][5360/7045]	Time 0.331 (0.249)	Data 0.281 (0.186)	Loss 4.1434 (4.1889)	Prec@1 13.281 (12.704)	Prec@5 36.328 (33.232)
Epoch: [31][5370/7045]	Time 0.102 (0.249)	Data 0.001 (0.186)	Loss 3.9186 (4.1887)	Prec@1 16.016 (12.707)	Prec@5 40.625 (33.238)
Epoch: [31][5380/7045]	Time 0.182 (0.249)	Data 0.131 (0.185)	Loss 4.0669 (4.1886)	Prec@1 11.719 (12.708)	Prec@5 37.109 (33.239)
Epoch: [31][5390/7045]	Time 0.521 (0.249)	Data 0.459 (0.186)	Loss 4.0464 (4.1885)	Prec@1 14.453 (12.711)	Prec@5 36.328 (33.245)
Epoch: [31][5400/7045]	Time 0.127 (0.249)	Data 0.076 (0.186)	Loss 4.1228 (4.1884)	Prec@1 10.547 (12.711)	Prec@5 37.109 (33.248)
Epoch: [31][5410/7045]	Time 0.245 (0.249)	Data 0.188 (0.186)	Loss 4.2416 (4.1884)	Prec@1 14.062 (12.712)	Prec@5 33.984 (33.251)
Epoch: [31][5420/7045]	Time 0.110 (0.249)	Data 0.058 (0.186)	Loss 3.9944 (4.1881)	Prec@1 16.797 (12.716)	Prec@5 39.844 (33.258)
Epoch: [31][5430/7045]	Time 0.101 (0.249)	Data 0.010 (0.186)	Loss 4.1321 (4.1880)	Prec@1 18.750 (12.718)	Prec@5 35.547 (33.262)
Epoch: [31][5440/7045]	Time 0.274 (0.249)	Data 0.222 (0.186)	Loss 4.0560 (4.1878)	Prec@1 14.844 (12.720)	Prec@5 35.547 (33.265)
Epoch: [31][5450/7045]	Time 0.255 (0.249)	Data 0.203 (0.186)	Loss 3.9676 (4.1876)	Prec@1 16.406 (12.724)	Prec@5 37.500 (33.270)
Epoch: [31][5460/7045]	Time 0.184 (0.249)	Data 0.134 (0.186)	Loss 4.0399 (4.1873)	Prec@1 16.406 (12.727)	Prec@5 33.594 (33.276)
Epoch: [31][5470/7045]	Time 0.101 (0.249)	Data 0.001 (0.186)	Loss 4.0673 (4.1872)	Prec@1 15.234 (12.727)	Prec@5 38.281 (33.278)
Epoch: [31][5480/7045]	Time 0.101 (0.249)	Data 0.011 (0.186)	Loss 4.0179 (4.1870)	Prec@1 13.281 (12.731)	Prec@5 36.719 (33.280)
Epoch: [31][5490/7045]	Time 0.116 (0.249)	Data 0.059 (0.185)	Loss 4.1708 (4.1869)	Prec@1 12.109 (12.734)	Prec@5 33.203 (33.283)
Epoch: [31][5500/7045]	Time 0.168 (0.249)	Data 0.117 (0.186)	Loss 3.9778 (4.1867)	Prec@1 16.016 (12.735)	Prec@5 38.281 (33.287)
Epoch: [31][5510/7045]	Time 0.286 (0.249)	Data 0.235 (0.186)	Loss 3.8614 (4.1865)	Prec@1 17.969 (12.738)	Prec@5 42.578 (33.290)
Epoch: [31][5520/7045]	Time 0.294 (0.249)	Data 0.243 (0.186)	Loss 4.1497 (4.1863)	Prec@1 12.891 (12.740)	Prec@5 33.594 (33.295)
Epoch: [31][5530/7045]	Time 0.494 (0.249)	Data 0.435 (0.186)	Loss 4.0881 (4.1862)	Prec@1 15.625 (12.743)	Prec@5 33.594 (33.298)
Epoch: [31][5540/7045]	Time 0.380 (0.249)	Data 0.328 (0.186)	Loss 4.2866 (4.1862)	Prec@1 10.547 (12.744)	Prec@5 30.859 (33.298)
Epoch: [31][5550/7045]	Time 0.261 (0.249)	Data 0.209 (0.186)	Loss 4.1446 (4.1860)	Prec@1 13.281 (12.747)	Prec@5 34.766 (33.301)
Epoch: [31][5560/7045]	Time 0.102 (0.249)	Data 0.007 (0.186)	Loss 4.2213 (4.1858)	Prec@1 14.062 (12.748)	Prec@5 33.203 (33.305)
Epoch: [31][5570/7045]	Time 0.106 (0.249)	Data 0.053 (0.185)	Loss 4.1893 (4.1856)	Prec@1 17.188 (12.752)	Prec@5 33.203 (33.307)
Epoch: [31][5580/7045]	Time 0.122 (0.249)	Data 0.062 (0.185)	Loss 4.2514 (4.1855)	Prec@1 11.328 (12.752)	Prec@5 32.031 (33.309)
Epoch: [31][5590/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 3.8286 (4.1852)	Prec@1 17.188 (12.756)	Prec@5 39.453 (33.315)
Epoch: [31][5600/7045]	Time 0.367 (0.249)	Data 0.317 (0.186)	Loss 4.1793 (4.1852)	Prec@1 12.109 (12.756)	Prec@5 34.766 (33.315)
Epoch: [31][5610/7045]	Time 0.327 (0.249)	Data 0.276 (0.186)	Loss 4.0050 (4.1852)	Prec@1 15.234 (12.757)	Prec@5 35.156 (33.317)
Epoch: [31][5620/7045]	Time 0.219 (0.249)	Data 0.168 (0.186)	Loss 4.2705 (4.1851)	Prec@1 12.500 (12.758)	Prec@5 32.031 (33.319)
Epoch: [31][5630/7045]	Time 0.523 (0.249)	Data 0.472 (0.186)	Loss 4.2854 (4.1850)	Prec@1 11.328 (12.759)	Prec@5 30.469 (33.321)
Epoch: [31][5640/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.0607 (4.1849)	Prec@1 13.672 (12.761)	Prec@5 32.812 (33.324)
Epoch: [31][5650/7045]	Time 0.325 (0.249)	Data 0.273 (0.186)	Loss 3.8724 (4.1847)	Prec@1 18.750 (12.763)	Prec@5 44.922 (33.330)
Epoch: [31][5660/7045]	Time 0.350 (0.249)	Data 0.300 (0.186)	Loss 4.0996 (4.1845)	Prec@1 14.844 (12.767)	Prec@5 35.938 (33.334)
Epoch: [31][5670/7045]	Time 0.240 (0.249)	Data 0.178 (0.186)	Loss 4.0609 (4.1844)	Prec@1 16.016 (12.769)	Prec@5 39.062 (33.337)
Epoch: [31][5680/7045]	Time 0.687 (0.249)	Data 0.635 (0.186)	Loss 4.0596 (4.1842)	Prec@1 16.797 (12.772)	Prec@5 37.891 (33.343)
Epoch: [31][5690/7045]	Time 0.102 (0.249)	Data 0.001 (0.186)	Loss 3.9660 (4.1840)	Prec@1 16.406 (12.775)	Prec@5 35.156 (33.348)
Epoch: [31][5700/7045]	Time 0.663 (0.249)	Data 0.612 (0.186)	Loss 4.1761 (4.1838)	Prec@1 14.844 (12.778)	Prec@5 32.812 (33.350)
Epoch: [31][5710/7045]	Time 0.101 (0.249)	Data 0.012 (0.185)	Loss 4.4298 (4.1839)	Prec@1 10.156 (12.778)	Prec@5 29.688 (33.349)
Epoch: [31][5720/7045]	Time 0.512 (0.249)	Data 0.462 (0.186)	Loss 3.9660 (4.1836)	Prec@1 12.891 (12.781)	Prec@5 43.359 (33.356)
Epoch: [31][5730/7045]	Time 0.345 (0.249)	Data 0.294 (0.186)	Loss 4.0668 (4.1834)	Prec@1 13.672 (12.784)	Prec@5 35.547 (33.359)
Epoch: [31][5740/7045]	Time 0.196 (0.249)	Data 0.137 (0.186)	Loss 4.0439 (4.1833)	Prec@1 15.625 (12.788)	Prec@5 37.891 (33.363)
Epoch: [31][5750/7045]	Time 0.101 (0.249)	Data 0.017 (0.186)	Loss 4.1223 (4.1832)	Prec@1 16.797 (12.789)	Prec@5 35.547 (33.365)
Epoch: [31][5760/7045]	Time 0.279 (0.249)	Data 0.227 (0.186)	Loss 4.2083 (4.1831)	Prec@1 12.109 (12.791)	Prec@5 34.375 (33.368)
Epoch: [31][5770/7045]	Time 0.107 (0.249)	Data 0.001 (0.186)	Loss 4.0042 (4.1830)	Prec@1 11.719 (12.791)	Prec@5 35.156 (33.371)
Epoch: [31][5780/7045]	Time 0.131 (0.249)	Data 0.081 (0.186)	Loss 4.0671 (4.1828)	Prec@1 14.453 (12.794)	Prec@5 33.594 (33.374)
Epoch: [31][5790/7045]	Time 0.321 (0.249)	Data 0.270 (0.186)	Loss 4.2783 (4.1827)	Prec@1 12.500 (12.796)	Prec@5 30.859 (33.377)
Epoch: [31][5800/7045]	Time 0.164 (0.249)	Data 0.113 (0.186)	Loss 3.9837 (4.1824)	Prec@1 13.672 (12.798)	Prec@5 35.156 (33.383)
Epoch: [31][5810/7045]	Time 0.101 (0.249)	Data 0.001 (0.186)	Loss 4.0207 (4.1823)	Prec@1 12.891 (12.800)	Prec@5 35.547 (33.385)
Epoch: [31][5820/7045]	Time 0.112 (0.249)	Data 0.058 (0.186)	Loss 4.1631 (4.1821)	Prec@1 14.844 (12.802)	Prec@5 35.547 (33.388)
Epoch: [31][5830/7045]	Time 0.150 (0.249)	Data 0.098 (0.186)	Loss 4.0912 (4.1820)	Prec@1 14.453 (12.804)	Prec@5 34.375 (33.390)
Epoch: [31][5840/7045]	Time 0.159 (0.249)	Data 0.108 (0.186)	Loss 4.0814 (4.1818)	Prec@1 12.500 (12.807)	Prec@5 36.719 (33.394)
Epoch: [31][5850/7045]	Time 0.748 (0.249)	Data 0.686 (0.186)	Loss 4.1594 (4.1817)	Prec@1 12.500 (12.809)	Prec@5 34.766 (33.397)
Epoch: [31][5860/7045]	Time 0.102 (0.249)	Data 0.001 (0.186)	Loss 3.9016 (4.1815)	Prec@1 17.969 (12.811)	Prec@5 38.281 (33.400)
Epoch: [31][5870/7045]	Time 0.359 (0.249)	Data 0.308 (0.186)	Loss 3.9950 (4.1814)	Prec@1 14.844 (12.812)	Prec@5 36.328 (33.403)
Epoch: [31][5880/7045]	Time 0.475 (0.249)	Data 0.423 (0.186)	Loss 3.9611 (4.1812)	Prec@1 17.188 (12.814)	Prec@5 41.016 (33.409)
Epoch: [31][5890/7045]	Time 0.128 (0.249)	Data 0.077 (0.186)	Loss 4.1500 (4.1811)	Prec@1 13.672 (12.814)	Prec@5 31.250 (33.411)
Epoch: [31][5900/7045]	Time 0.457 (0.249)	Data 0.406 (0.186)	Loss 4.0354 (4.1809)	Prec@1 17.188 (12.818)	Prec@5 39.062 (33.415)
Epoch: [31][5910/7045]	Time 0.264 (0.249)	Data 0.213 (0.186)	Loss 4.2249 (4.1808)	Prec@1 14.453 (12.821)	Prec@5 30.469 (33.417)
Epoch: [31][5920/7045]	Time 0.466 (0.249)	Data 0.415 (0.186)	Loss 4.0778 (4.1808)	Prec@1 14.062 (12.822)	Prec@5 36.719 (33.420)
Epoch: [31][5930/7045]	Time 0.104 (0.249)	Data 0.001 (0.186)	Loss 4.1405 (4.1807)	Prec@1 13.672 (12.824)	Prec@5 31.641 (33.422)
Epoch: [31][5940/7045]	Time 0.682 (0.249)	Data 0.631 (0.186)	Loss 4.1770 (4.1804)	Prec@1 12.891 (12.826)	Prec@5 32.031 (33.427)
Epoch: [31][5950/7045]	Time 0.102 (0.249)	Data 0.006 (0.186)	Loss 4.1577 (4.1804)	Prec@1 10.938 (12.826)	Prec@5 32.422 (33.428)
Epoch: [31][5960/7045]	Time 0.136 (0.249)	Data 0.085 (0.186)	Loss 4.0694 (4.1803)	Prec@1 14.453 (12.828)	Prec@5 35.547 (33.431)
Epoch: [31][5970/7045]	Time 0.185 (0.249)	Data 0.135 (0.186)	Loss 4.1330 (4.1802)	Prec@1 14.453 (12.828)	Prec@5 35.938 (33.433)
Epoch: [31][5980/7045]	Time 0.339 (0.249)	Data 0.280 (0.186)	Loss 3.7576 (4.1800)	Prec@1 15.625 (12.831)	Prec@5 40.234 (33.436)
Epoch: [31][5990/7045]	Time 0.110 (0.249)	Data 0.057 (0.186)	Loss 4.1310 (4.1799)	Prec@1 15.234 (12.833)	Prec@5 38.672 (33.438)
Epoch: [31][6000/7045]	Time 0.549 (0.249)	Data 0.500 (0.186)	Loss 4.0255 (4.1797)	Prec@1 15.234 (12.836)	Prec@5 37.500 (33.441)
Epoch: [31][6010/7045]	Time 0.107 (0.249)	Data 0.056 (0.186)	Loss 3.9842 (4.1794)	Prec@1 17.578 (12.841)	Prec@5 40.625 (33.450)
Epoch: [31][6020/7045]	Time 0.504 (0.249)	Data 0.453 (0.186)	Loss 4.0250 (4.1792)	Prec@1 14.453 (12.842)	Prec@5 35.547 (33.452)
Epoch: [31][6030/7045]	Time 0.102 (0.249)	Data 0.001 (0.186)	Loss 4.1485 (4.1791)	Prec@1 12.500 (12.845)	Prec@5 33.203 (33.456)
Epoch: [31][6040/7045]	Time 0.119 (0.249)	Data 0.068 (0.186)	Loss 4.1418 (4.1790)	Prec@1 13.281 (12.846)	Prec@5 32.812 (33.458)
Epoch: [31][6050/7045]	Time 0.102 (0.249)	Data 0.001 (0.186)	Loss 4.2278 (4.1789)	Prec@1 13.281 (12.848)	Prec@5 30.859 (33.462)
Epoch: [31][6060/7045]	Time 0.101 (0.249)	Data 0.007 (0.186)	Loss 4.1771 (4.1788)	Prec@1 11.719 (12.849)	Prec@5 35.547 (33.463)
Epoch: [31][6070/7045]	Time 0.127 (0.249)	Data 0.075 (0.186)	Loss 4.1330 (4.1786)	Prec@1 15.234 (12.852)	Prec@5 37.109 (33.469)
Epoch: [31][6080/7045]	Time 0.109 (0.249)	Data 0.014 (0.186)	Loss 4.1654 (4.1786)	Prec@1 12.500 (12.852)	Prec@5 35.156 (33.470)
Epoch: [31][6090/7045]	Time 0.496 (0.249)	Data 0.446 (0.186)	Loss 3.9307 (4.1784)	Prec@1 11.328 (12.855)	Prec@5 39.844 (33.475)
Epoch: [31][6100/7045]	Time 0.128 (0.249)	Data 0.077 (0.186)	Loss 4.0453 (4.1782)	Prec@1 17.188 (12.855)	Prec@5 34.766 (33.479)
Epoch: [31][6110/7045]	Time 0.112 (0.249)	Data 0.060 (0.186)	Loss 3.9401 (4.1781)	Prec@1 14.844 (12.857)	Prec@5 37.891 (33.482)
Epoch: [31][6120/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.1084 (4.1779)	Prec@1 12.500 (12.859)	Prec@5 37.109 (33.485)
Epoch: [31][6130/7045]	Time 0.147 (0.249)	Data 0.096 (0.186)	Loss 4.0381 (4.1777)	Prec@1 12.500 (12.862)	Prec@5 33.594 (33.490)
Epoch: [31][6140/7045]	Time 0.197 (0.249)	Data 0.146 (0.185)	Loss 4.0015 (4.1775)	Prec@1 14.062 (12.864)	Prec@5 35.156 (33.494)
Epoch: [31][6150/7045]	Time 0.102 (0.249)	Data 0.003 (0.185)	Loss 4.0031 (4.1774)	Prec@1 16.016 (12.865)	Prec@5 35.938 (33.496)
Epoch: [31][6160/7045]	Time 0.192 (0.249)	Data 0.139 (0.186)	Loss 4.3142 (4.1773)	Prec@1 13.281 (12.866)	Prec@5 32.812 (33.499)
Epoch: [31][6170/7045]	Time 0.188 (0.249)	Data 0.137 (0.186)	Loss 4.0000 (4.1772)	Prec@1 14.062 (12.869)	Prec@5 39.453 (33.503)
Epoch: [31][6180/7045]	Time 0.118 (0.249)	Data 0.066 (0.186)	Loss 4.1100 (4.1770)	Prec@1 11.328 (12.869)	Prec@5 32.031 (33.505)
Epoch: [31][6190/7045]	Time 0.590 (0.249)	Data 0.538 (0.186)	Loss 4.0410 (4.1769)	Prec@1 13.672 (12.871)	Prec@5 32.812 (33.508)
Epoch: [31][6200/7045]	Time 0.119 (0.249)	Data 0.067 (0.185)	Loss 4.1323 (4.1767)	Prec@1 14.062 (12.872)	Prec@5 35.938 (33.512)
Epoch: [31][6210/7045]	Time 0.492 (0.249)	Data 0.432 (0.185)	Loss 4.0925 (4.1765)	Prec@1 14.062 (12.873)	Prec@5 33.203 (33.515)
Epoch: [31][6220/7045]	Time 0.099 (0.249)	Data 0.001 (0.185)	Loss 4.1021 (4.1763)	Prec@1 15.234 (12.877)	Prec@5 36.719 (33.520)
Epoch: [31][6230/7045]	Time 0.349 (0.249)	Data 0.297 (0.185)	Loss 4.0551 (4.1762)	Prec@1 11.719 (12.878)	Prec@5 37.109 (33.524)
Epoch: [31][6240/7045]	Time 0.182 (0.249)	Data 0.130 (0.185)	Loss 4.0694 (4.1760)	Prec@1 14.062 (12.879)	Prec@5 35.156 (33.525)
Epoch: [31][6250/7045]	Time 0.110 (0.249)	Data 0.051 (0.185)	Loss 4.1050 (4.1759)	Prec@1 12.500 (12.879)	Prec@5 34.766 (33.530)
Epoch: [31][6260/7045]	Time 0.745 (0.249)	Data 0.694 (0.185)	Loss 4.2288 (4.1757)	Prec@1 10.156 (12.881)	Prec@5 35.547 (33.532)
Epoch: [31][6270/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 4.0278 (4.1756)	Prec@1 12.109 (12.881)	Prec@5 37.109 (33.534)
Epoch: [31][6280/7045]	Time 0.449 (0.249)	Data 0.398 (0.185)	Loss 4.2626 (4.1754)	Prec@1 12.500 (12.884)	Prec@5 31.250 (33.539)
Epoch: [31][6290/7045]	Time 0.100 (0.249)	Data 0.001 (0.185)	Loss 4.2474 (4.1752)	Prec@1 15.234 (12.887)	Prec@5 34.375 (33.541)
Epoch: [31][6300/7045]	Time 0.100 (0.249)	Data 0.009 (0.185)	Loss 4.1356 (4.1750)	Prec@1 13.672 (12.890)	Prec@5 34.375 (33.547)
Epoch: [31][6310/7045]	Time 0.191 (0.249)	Data 0.139 (0.185)	Loss 4.0487 (4.1749)	Prec@1 16.016 (12.893)	Prec@5 35.156 (33.552)
Epoch: [31][6320/7045]	Time 0.110 (0.249)	Data 0.057 (0.185)	Loss 4.2830 (4.1748)	Prec@1 12.500 (12.895)	Prec@5 25.781 (33.555)
Epoch: [31][6330/7045]	Time 0.102 (0.249)	Data 0.007 (0.185)	Loss 3.9084 (4.1746)	Prec@1 15.625 (12.896)	Prec@5 39.453 (33.559)
Epoch: [31][6340/7045]	Time 0.101 (0.249)	Data 0.019 (0.185)	Loss 4.0134 (4.1745)	Prec@1 18.359 (12.898)	Prec@5 41.016 (33.562)
Epoch: [31][6350/7045]	Time 0.161 (0.249)	Data 0.111 (0.185)	Loss 4.0217 (4.1743)	Prec@1 17.969 (12.901)	Prec@5 37.891 (33.566)
Epoch: [31][6360/7045]	Time 0.514 (0.249)	Data 0.461 (0.185)	Loss 4.1622 (4.1743)	Prec@1 15.625 (12.901)	Prec@5 31.250 (33.565)
Epoch: [31][6370/7045]	Time 0.160 (0.249)	Data 0.110 (0.185)	Loss 3.9963 (4.1741)	Prec@1 15.234 (12.902)	Prec@5 34.766 (33.568)
Epoch: [31][6380/7045]	Time 0.593 (0.249)	Data 0.540 (0.185)	Loss 4.1473 (4.1740)	Prec@1 13.672 (12.905)	Prec@5 36.328 (33.571)
Epoch: [31][6390/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.0656 (4.1739)	Prec@1 13.281 (12.907)	Prec@5 34.766 (33.573)
Epoch: [31][6400/7045]	Time 0.582 (0.249)	Data 0.532 (0.185)	Loss 4.1894 (4.1738)	Prec@1 12.500 (12.909)	Prec@5 35.156 (33.577)
Epoch: [31][6410/7045]	Time 0.110 (0.249)	Data 0.059 (0.185)	Loss 4.0473 (4.1736)	Prec@1 12.500 (12.913)	Prec@5 37.109 (33.580)
Epoch: [31][6420/7045]	Time 0.252 (0.249)	Data 0.190 (0.185)	Loss 4.1353 (4.1734)	Prec@1 16.406 (12.916)	Prec@5 34.375 (33.586)
Epoch: [31][6430/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 4.1695 (4.1733)	Prec@1 15.625 (12.918)	Prec@5 33.203 (33.589)
Epoch: [31][6440/7045]	Time 0.298 (0.249)	Data 0.239 (0.185)	Loss 4.1635 (4.1732)	Prec@1 14.062 (12.919)	Prec@5 34.375 (33.590)
Epoch: [31][6450/7045]	Time 0.153 (0.249)	Data 0.101 (0.185)	Loss 4.0686 (4.1731)	Prec@1 14.844 (12.919)	Prec@5 32.812 (33.591)
Epoch: [31][6460/7045]	Time 0.104 (0.249)	Data 0.050 (0.185)	Loss 4.2785 (4.1730)	Prec@1 12.109 (12.922)	Prec@5 30.859 (33.594)
Epoch: [31][6470/7045]	Time 0.190 (0.249)	Data 0.137 (0.185)	Loss 4.0839 (4.1728)	Prec@1 10.547 (12.923)	Prec@5 33.984 (33.597)
Epoch: [31][6480/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 4.0492 (4.1726)	Prec@1 13.281 (12.925)	Prec@5 37.109 (33.601)
Epoch: [31][6490/7045]	Time 0.548 (0.249)	Data 0.497 (0.185)	Loss 4.1413 (4.1724)	Prec@1 10.938 (12.927)	Prec@5 32.422 (33.607)
Epoch: [31][6500/7045]	Time 0.103 (0.249)	Data 0.001 (0.185)	Loss 4.0794 (4.1723)	Prec@1 14.062 (12.929)	Prec@5 34.375 (33.611)
Epoch: [31][6510/7045]	Time 0.537 (0.249)	Data 0.486 (0.185)	Loss 4.1399 (4.1721)	Prec@1 9.766 (12.931)	Prec@5 30.469 (33.615)
Epoch: [31][6520/7045]	Time 0.493 (0.249)	Data 0.441 (0.185)	Loss 3.9970 (4.1719)	Prec@1 15.625 (12.933)	Prec@5 41.406 (33.620)
Epoch: [31][6530/7045]	Time 0.286 (0.249)	Data 0.236 (0.185)	Loss 4.1167 (4.1718)	Prec@1 12.891 (12.933)	Prec@5 37.109 (33.621)
Epoch: [31][6540/7045]	Time 0.493 (0.249)	Data 0.442 (0.185)	Loss 4.0854 (4.1718)	Prec@1 14.844 (12.935)	Prec@5 37.891 (33.624)
Epoch: [31][6550/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 4.1811 (4.1716)	Prec@1 11.328 (12.937)	Prec@5 33.984 (33.628)
Epoch: [31][6560/7045]	Time 0.288 (0.249)	Data 0.238 (0.185)	Loss 4.1678 (4.1714)	Prec@1 15.234 (12.940)	Prec@5 35.938 (33.633)
Epoch: [31][6570/7045]	Time 0.204 (0.249)	Data 0.153 (0.185)	Loss 4.0535 (4.1713)	Prec@1 13.672 (12.940)	Prec@5 38.281 (33.635)
Epoch: [31][6580/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.0500 (4.1712)	Prec@1 14.453 (12.943)	Prec@5 36.719 (33.638)
Epoch: [31][6590/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.0579 (4.1710)	Prec@1 12.500 (12.946)	Prec@5 34.766 (33.643)
Epoch: [31][6600/7045]	Time 0.110 (0.249)	Data 0.007 (0.185)	Loss 4.1012 (4.1708)	Prec@1 11.328 (12.947)	Prec@5 31.641 (33.646)
Epoch: [31][6610/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.2500 (4.1708)	Prec@1 8.594 (12.947)	Prec@5 28.906 (33.647)
Epoch: [31][6620/7045]	Time 0.208 (0.249)	Data 0.156 (0.185)	Loss 3.8781 (4.1706)	Prec@1 15.234 (12.949)	Prec@5 36.328 (33.649)
Epoch: [31][6630/7045]	Time 0.145 (0.249)	Data 0.092 (0.185)	Loss 4.0357 (4.1705)	Prec@1 14.062 (12.949)	Prec@5 36.328 (33.655)
Epoch: [31][6640/7045]	Time 0.121 (0.249)	Data 0.068 (0.185)	Loss 4.0757 (4.1703)	Prec@1 11.328 (12.950)	Prec@5 33.984 (33.659)
Epoch: [31][6650/7045]	Time 0.508 (0.249)	Data 0.457 (0.185)	Loss 4.0167 (4.1701)	Prec@1 10.938 (12.951)	Prec@5 35.938 (33.663)
Epoch: [31][6660/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 4.1270 (4.1699)	Prec@1 13.672 (12.953)	Prec@5 34.375 (33.667)
Epoch: [31][6670/7045]	Time 0.155 (0.249)	Data 0.101 (0.185)	Loss 4.1146 (4.1698)	Prec@1 12.891 (12.955)	Prec@5 35.938 (33.670)
Epoch: [31][6680/7045]	Time 0.101 (0.249)	Data 0.018 (0.185)	Loss 4.1058 (4.1696)	Prec@1 14.844 (12.957)	Prec@5 36.328 (33.673)
Epoch: [31][6690/7045]	Time 0.104 (0.249)	Data 0.007 (0.185)	Loss 4.1463 (4.1695)	Prec@1 11.328 (12.959)	Prec@5 34.375 (33.676)
Epoch: [31][6700/7045]	Time 0.289 (0.249)	Data 0.237 (0.185)	Loss 4.0477 (4.1694)	Prec@1 17.578 (12.962)	Prec@5 36.328 (33.679)
Epoch: [31][6710/7045]	Time 0.214 (0.249)	Data 0.163 (0.185)	Loss 4.0973 (4.1692)	Prec@1 11.328 (12.965)	Prec@5 32.031 (33.684)
Epoch: [31][6720/7045]	Time 0.116 (0.249)	Data 0.064 (0.185)	Loss 4.0515 (4.1691)	Prec@1 14.453 (12.966)	Prec@5 37.109 (33.686)
Epoch: [31][6730/7045]	Time 0.901 (0.249)	Data 0.849 (0.185)	Loss 4.0561 (4.1690)	Prec@1 14.453 (12.967)	Prec@5 32.812 (33.686)
Epoch: [31][6740/7045]	Time 0.110 (0.249)	Data 0.001 (0.185)	Loss 4.0718 (4.1689)	Prec@1 12.891 (12.967)	Prec@5 35.547 (33.690)
Epoch: [31][6750/7045]	Time 0.578 (0.249)	Data 0.519 (0.185)	Loss 4.1368 (4.1688)	Prec@1 13.281 (12.970)	Prec@5 36.719 (33.692)
Epoch: [31][6760/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.1874 (4.1686)	Prec@1 14.453 (12.971)	Prec@5 32.031 (33.695)
Epoch: [31][6770/7045]	Time 0.100 (0.249)	Data 0.010 (0.185)	Loss 4.1079 (4.1685)	Prec@1 15.625 (12.972)	Prec@5 33.203 (33.696)
Epoch: [31][6780/7045]	Time 0.259 (0.249)	Data 0.208 (0.185)	Loss 3.9617 (4.1683)	Prec@1 16.406 (12.973)	Prec@5 38.672 (33.701)
Epoch: [31][6790/7045]	Time 0.203 (0.249)	Data 0.151 (0.185)	Loss 3.9642 (4.1681)	Prec@1 12.109 (12.974)	Prec@5 37.109 (33.704)
Epoch: [31][6800/7045]	Time 0.615 (0.249)	Data 0.563 (0.185)	Loss 4.0163 (4.1680)	Prec@1 16.797 (12.977)	Prec@5 33.984 (33.706)
Epoch: [31][6810/7045]	Time 0.104 (0.249)	Data 0.052 (0.185)	Loss 4.0660 (4.1679)	Prec@1 14.453 (12.978)	Prec@5 37.891 (33.709)
Epoch: [31][6820/7045]	Time 0.101 (0.249)	Data 0.002 (0.185)	Loss 4.2599 (4.1678)	Prec@1 12.109 (12.980)	Prec@5 31.641 (33.714)
Epoch: [31][6830/7045]	Time 0.574 (0.249)	Data 0.523 (0.185)	Loss 4.0317 (4.1677)	Prec@1 16.016 (12.982)	Prec@5 36.719 (33.717)
Epoch: [31][6840/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 3.9433 (4.1675)	Prec@1 16.016 (12.983)	Prec@5 38.281 (33.721)
Epoch: [31][6850/7045]	Time 0.109 (0.249)	Data 0.016 (0.185)	Loss 4.0398 (4.1674)	Prec@1 12.109 (12.982)	Prec@5 35.938 (33.723)
Epoch: [31][6860/7045]	Time 0.163 (0.249)	Data 0.107 (0.185)	Loss 4.0049 (4.1672)	Prec@1 15.625 (12.983)	Prec@5 36.719 (33.726)
Epoch: [31][6870/7045]	Time 0.146 (0.249)	Data 0.093 (0.185)	Loss 4.0326 (4.1670)	Prec@1 12.500 (12.985)	Prec@5 37.500 (33.731)
Epoch: [31][6880/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 4.1433 (4.1669)	Prec@1 13.281 (12.988)	Prec@5 34.375 (33.732)
Epoch: [31][6890/7045]	Time 0.110 (0.249)	Data 0.058 (0.185)	Loss 4.0039 (4.1667)	Prec@1 17.578 (12.990)	Prec@5 35.938 (33.736)
Epoch: [31][6900/7045]	Time 0.344 (0.249)	Data 0.292 (0.185)	Loss 4.0594 (4.1666)	Prec@1 14.844 (12.992)	Prec@5 41.406 (33.741)
Epoch: [31][6910/7045]	Time 0.188 (0.249)	Data 0.137 (0.185)	Loss 3.7523 (4.1664)	Prec@1 18.750 (12.995)	Prec@5 44.141 (33.744)
Epoch: [31][6920/7045]	Time 0.663 (0.249)	Data 0.612 (0.185)	Loss 4.1985 (4.1663)	Prec@1 10.547 (12.995)	Prec@5 32.422 (33.745)
Epoch: [31][6930/7045]	Time 0.099 (0.249)	Data 0.001 (0.185)	Loss 4.0044 (4.1662)	Prec@1 15.234 (12.995)	Prec@5 39.844 (33.749)
Epoch: [31][6940/7045]	Time 0.618 (0.249)	Data 0.567 (0.185)	Loss 3.9035 (4.1660)	Prec@1 20.312 (12.998)	Prec@5 41.797 (33.752)
Epoch: [31][6950/7045]	Time 0.342 (0.249)	Data 0.291 (0.185)	Loss 4.1892 (4.1658)	Prec@1 12.891 (13.000)	Prec@5 36.328 (33.757)
Epoch: [31][6960/7045]	Time 0.433 (0.249)	Data 0.382 (0.185)	Loss 3.8241 (4.1657)	Prec@1 16.797 (13.002)	Prec@5 38.281 (33.761)
Epoch: [31][6970/7045]	Time 0.361 (0.249)	Data 0.309 (0.185)	Loss 4.0521 (4.1656)	Prec@1 12.891 (13.001)	Prec@5 34.766 (33.762)
Epoch: [31][6980/7045]	Time 0.412 (0.249)	Data 0.360 (0.185)	Loss 4.0952 (4.1656)	Prec@1 16.016 (13.004)	Prec@5 34.766 (33.762)
Epoch: [31][6990/7045]	Time 0.351 (0.249)	Data 0.300 (0.185)	Loss 3.9005 (4.1654)	Prec@1 15.234 (13.005)	Prec@5 41.406 (33.766)
Epoch: [31][7000/7045]	Time 0.340 (0.249)	Data 0.289 (0.185)	Loss 4.1099 (4.1653)	Prec@1 14.453 (13.007)	Prec@5 34.375 (33.769)
Epoch: [31][7010/7045]	Time 0.103 (0.249)	Data 0.001 (0.185)	Loss 4.1120 (4.1651)	Prec@1 11.719 (13.008)	Prec@5 38.672 (33.772)
Epoch: [31][7020/7045]	Time 0.199 (0.249)	Data 0.148 (0.185)	Loss 4.1306 (4.1650)	Prec@1 11.328 (13.009)	Prec@5 33.203 (33.774)
Epoch: [31][7030/7045]	Time 0.115 (0.249)	Data 0.062 (0.185)	Loss 3.9853 (4.1649)	Prec@1 17.578 (13.011)	Prec@5 41.406 (33.776)
Epoch: [31][7040/7045]	Time 0.132 (0.249)	Data 0.079 (0.185)	Loss 4.0403 (4.1647)	Prec@1 16.406 (13.015)	Prec@5 36.719 (33.781)
Test: [0/143]	Time 1.448 (1.448)	Loss 3.5674 (3.5674)	Prec@1 19.141 (19.141)	Prec@5 43.750 (43.750)
Test: [10/143]	Time 0.110 (0.263)	Loss 3.7093 (3.7871)	Prec@1 17.188 (16.477)	Prec@5 49.609 (43.111)
Test: [20/143]	Time 0.136 (0.227)	Loss 3.8925 (3.7389)	Prec@1 17.188 (17.113)	Prec@5 43.750 (43.769)
Test: [30/143]	Time 0.195 (0.221)	Loss 3.8198 (3.7035)	Prec@1 14.062 (18.170)	Prec@5 43.359 (44.884)
Test: [40/143]	Time 0.072 (0.207)	Loss 4.4064 (3.6992)	Prec@1 2.344 (18.645)	Prec@5 17.969 (44.179)
Test: [50/143]	Time 0.187 (0.204)	Loss 3.1946 (3.7026)	Prec@1 20.312 (18.091)	Prec@5 58.203 (43.727)
Test: [60/143]	Time 0.107 (0.199)	Loss 4.0121 (3.6662)	Prec@1 6.250 (19.045)	Prec@5 38.672 (44.877)
Test: [70/143]	Time 0.556 (0.202)	Loss 3.9496 (3.6499)	Prec@1 14.453 (19.372)	Prec@5 36.328 (45.346)
Test: [80/143]	Time 0.048 (0.196)	Loss 3.4699 (3.6533)	Prec@1 21.094 (19.502)	Prec@5 51.562 (45.332)
Test: [90/143]	Time 0.266 (0.194)	Loss 3.4167 (3.6417)	Prec@1 28.906 (19.789)	Prec@5 51.953 (45.673)
Test: [100/143]	Time 0.372 (0.195)	Loss 3.2365 (3.6422)	Prec@1 21.094 (19.713)	Prec@5 62.500 (45.730)
Test: [110/143]	Time 0.114 (0.194)	Loss 3.3909 (3.6274)	Prec@1 31.250 (20.203)	Prec@5 48.047 (46.059)
Test: [120/143]	Time 0.435 (0.195)	Loss 3.5145 (3.6157)	Prec@1 22.656 (20.577)	Prec@5 48.828 (46.287)
Test: [130/143]	Time 0.122 (0.193)	Loss 3.3591 (3.6186)	Prec@1 26.953 (20.444)	Prec@5 47.266 (46.183)
Test: [140/143]	Time 0.412 (0.193)	Loss 4.3694 (3.6376)	Prec@1 9.766 (20.105)	Prec@5 27.734 (45.692)
 * Prec@1 20.096 Prec@5 45.690
Epoch: [32][0/7045]	Time 2.632 (2.632)	Data 2.572 (2.572)	Loss 4.0271 (4.0271)	Prec@1 12.109 (12.109)	Prec@5 35.547 (35.547)
Epoch: [32][10/7045]	Time 0.107 (0.485)	Data 0.055 (0.414)	Loss 4.2444 (4.0585)	Prec@1 10.938 (14.773)	Prec@5 31.250 (34.730)
Epoch: [32][20/7045]	Time 0.436 (0.389)	Data 0.385 (0.321)	Loss 3.9224 (4.0506)	Prec@1 17.969 (15.104)	Prec@5 43.750 (35.956)
Epoch: [32][30/7045]	Time 0.107 (0.350)	Data 0.055 (0.286)	Loss 3.9903 (4.0468)	Prec@1 14.062 (15.134)	Prec@5 37.500 (36.026)
Epoch: [32][40/7045]	Time 0.523 (0.340)	Data 0.465 (0.276)	Loss 3.9633 (4.0529)	Prec@1 19.141 (14.939)	Prec@5 39.453 (35.947)
Epoch: [32][50/7045]	Time 0.101 (0.325)	Data 0.001 (0.260)	Loss 4.1016 (4.0553)	Prec@1 11.719 (14.729)	Prec@5 36.328 (36.022)
Epoch: [32][60/7045]	Time 0.651 (0.321)	Data 0.601 (0.254)	Loss 3.9929 (4.0498)	Prec@1 14.844 (14.722)	Prec@5 38.672 (36.136)
Epoch: [32][70/7045]	Time 0.139 (0.312)	Data 0.088 (0.245)	Loss 4.0035 (4.0493)	Prec@1 14.062 (14.662)	Prec@5 35.938 (36.081)
Epoch: [32][80/7045]	Time 0.832 (0.313)	Data 0.781 (0.245)	Loss 3.8362 (4.0494)	Prec@1 17.578 (14.747)	Prec@5 38.281 (36.183)
Epoch: [32][90/7045]	Time 0.102 (0.305)	Data 0.010 (0.237)	Loss 4.1435 (4.0556)	Prec@1 12.500 (14.685)	Prec@5 35.547 (36.075)
Epoch: [32][100/7045]	Time 0.480 (0.304)	Data 0.421 (0.237)	Loss 3.9876 (4.0555)	Prec@1 12.891 (14.701)	Prec@5 36.719 (36.123)
Epoch: [32][110/7045]	Time 0.108 (0.297)	Data 0.056 (0.231)	Loss 4.0468 (4.0592)	Prec@1 14.453 (14.583)	Prec@5 36.328 (36.057)
Epoch: [32][120/7045]	Time 0.138 (0.296)	Data 0.077 (0.229)	Loss 3.9914 (4.0548)	Prec@1 13.672 (14.582)	Prec@5 38.672 (36.109)
Epoch: [32][130/7045]	Time 0.323 (0.292)	Data 0.273 (0.226)	Loss 4.0856 (4.0529)	Prec@1 13.672 (14.590)	Prec@5 36.719 (36.182)
Epoch: [32][140/7045]	Time 0.367 (0.290)	Data 0.315 (0.225)	Loss 4.1633 (4.0531)	Prec@1 14.453 (14.633)	Prec@5 33.984 (36.101)
Epoch: [32][150/7045]	Time 0.283 (0.289)	Data 0.233 (0.224)	Loss 4.0179 (4.0537)	Prec@1 14.062 (14.614)	Prec@5 40.625 (36.085)
Epoch: [32][160/7045]	Time 0.425 (0.288)	Data 0.375 (0.224)	Loss 4.0428 (4.0506)	Prec@1 13.672 (14.616)	Prec@5 34.766 (36.190)
Epoch: [32][170/7045]	Time 0.256 (0.286)	Data 0.199 (0.222)	Loss 4.0895 (4.0536)	Prec@1 13.281 (14.606)	Prec@5 34.766 (36.171)
Epoch: [32][180/7045]	Time 0.273 (0.286)	Data 0.222 (0.222)	Loss 4.0389 (4.0515)	Prec@1 13.672 (14.632)	Prec@5 39.844 (36.188)
Epoch: [32][190/7045]	Time 0.634 (0.288)	Data 0.583 (0.225)	Loss 4.1514 (4.0500)	Prec@1 12.109 (14.647)	Prec@5 34.766 (36.261)
Epoch: [32][200/7045]	Time 0.293 (0.286)	Data 0.241 (0.223)	Loss 4.0306 (4.0497)	Prec@1 14.453 (14.661)	Prec@5 36.719 (36.278)
Epoch: [32][210/7045]	Time 0.349 (0.286)	Data 0.299 (0.223)	Loss 4.1120 (4.0517)	Prec@1 12.891 (14.618)	Prec@5 33.203 (36.197)
Epoch: [32][220/7045]	Time 0.804 (0.286)	Data 0.753 (0.223)	Loss 4.1406 (4.0510)	Prec@1 12.500 (14.598)	Prec@5 31.250 (36.252)
Epoch: [32][230/7045]	Time 0.110 (0.284)	Data 0.006 (0.220)	Loss 4.1928 (4.0509)	Prec@1 13.281 (14.605)	Prec@5 33.203 (36.235)
Epoch: [32][240/7045]	Time 0.605 (0.285)	Data 0.546 (0.221)	Loss 3.9367 (4.0483)	Prec@1 17.188 (14.651)	Prec@5 41.406 (36.315)
Epoch: [32][250/7045]	Time 0.239 (0.283)	Data 0.188 (0.220)	Loss 4.1855 (4.0483)	Prec@1 11.328 (14.666)	Prec@5 35.156 (36.320)
Epoch: [32][260/7045]	Time 0.308 (0.284)	Data 0.258 (0.221)	Loss 4.1940 (4.0483)	Prec@1 14.453 (14.679)	Prec@5 37.109 (36.316)
Epoch: [32][270/7045]	Time 0.462 (0.283)	Data 0.411 (0.220)	Loss 4.0105 (4.0495)	Prec@1 16.016 (14.643)	Prec@5 35.156 (36.299)
Epoch: [32][280/7045]	Time 0.107 (0.283)	Data 0.001 (0.220)	Loss 3.8759 (4.0496)	Prec@1 19.141 (14.648)	Prec@5 42.188 (36.307)
Epoch: [32][290/7045]	Time 0.121 (0.283)	Data 0.070 (0.219)	Loss 4.0998 (4.0491)	Prec@1 11.719 (14.634)	Prec@5 33.594 (36.260)
Epoch: [32][300/7045]	Time 0.457 (0.283)	Data 0.406 (0.220)	Loss 4.1176 (4.0493)	Prec@1 16.797 (14.643)	Prec@5 35.547 (36.278)
Epoch: [32][310/7045]	Time 0.270 (0.283)	Data 0.220 (0.220)	Loss 4.0435 (4.0497)	Prec@1 15.625 (14.654)	Prec@5 37.500 (36.285)
Epoch: [32][320/7045]	Time 0.102 (0.282)	Data 0.001 (0.219)	Loss 3.8440 (4.0494)	Prec@1 14.844 (14.649)	Prec@5 41.797 (36.299)
Epoch: [32][330/7045]	Time 0.548 (0.282)	Data 0.497 (0.219)	Loss 4.0301 (4.0495)	Prec@1 15.625 (14.638)	Prec@5 37.891 (36.280)
Epoch: [32][340/7045]	Time 0.101 (0.281)	Data 0.001 (0.218)	Loss 4.1827 (4.0511)	Prec@1 13.672 (14.628)	Prec@5 32.812 (36.216)
Epoch: [32][350/7045]	Time 0.105 (0.282)	Data 0.054 (0.219)	Loss 3.9302 (4.0509)	Prec@1 17.188 (14.610)	Prec@5 38.672 (36.217)
Epoch: [32][360/7045]	Time 0.102 (0.281)	Data 0.001 (0.217)	Loss 3.8752 (4.0496)	Prec@1 18.750 (14.653)	Prec@5 42.578 (36.281)
Epoch: [32][370/7045]	Time 0.314 (0.281)	Data 0.262 (0.217)	Loss 3.9771 (4.0492)	Prec@1 14.453 (14.679)	Prec@5 33.594 (36.295)
Epoch: [32][380/7045]	Time 0.423 (0.281)	Data 0.372 (0.218)	Loss 4.1724 (4.0485)	Prec@1 12.500 (14.694)	Prec@5 36.328 (36.320)
Epoch: [32][390/7045]	Time 0.187 (0.280)	Data 0.128 (0.217)	Loss 4.0286 (4.0473)	Prec@1 16.406 (14.722)	Prec@5 33.203 (36.354)
Epoch: [32][400/7045]	Time 0.202 (0.280)	Data 0.151 (0.217)	Loss 4.1653 (4.0480)	Prec@1 15.625 (14.726)	Prec@5 34.766 (36.352)
Epoch: [32][410/7045]	Time 0.107 (0.281)	Data 0.001 (0.218)	Loss 4.0026 (4.0479)	Prec@1 15.234 (14.734)	Prec@5 37.500 (36.321)
Epoch: [32][420/7045]	Time 0.102 (0.280)	Data 0.001 (0.216)	Loss 3.9464 (4.0473)	Prec@1 15.234 (14.735)	Prec@5 36.719 (36.323)
Epoch: [32][430/7045]	Time 0.299 (0.280)	Data 0.247 (0.217)	Loss 3.9168 (4.0472)	Prec@1 17.188 (14.740)	Prec@5 38.281 (36.318)
Epoch: [32][440/7045]	Time 0.107 (0.279)	Data 0.054 (0.216)	Loss 4.0186 (4.0471)	Prec@1 14.453 (14.732)	Prec@5 36.719 (36.301)
Epoch: [32][450/7045]	Time 0.508 (0.279)	Data 0.456 (0.216)	Loss 4.0490 (4.0474)	Prec@1 19.141 (14.732)	Prec@5 37.891 (36.317)
Epoch: [32][460/7045]	Time 0.109 (0.279)	Data 0.056 (0.215)	Loss 4.0407 (4.0477)	Prec@1 13.672 (14.719)	Prec@5 35.547 (36.304)
Epoch: [32][470/7045]	Time 0.101 (0.279)	Data 0.001 (0.216)	Loss 3.9853 (4.0474)	Prec@1 16.406 (14.728)	Prec@5 35.547 (36.330)
Epoch: [32][480/7045]	Time 0.104 (0.278)	Data 0.053 (0.215)	Loss 4.0394 (4.0476)	Prec@1 13.672 (14.709)	Prec@5 36.719 (36.305)
Epoch: [32][490/7045]	Time 0.248 (0.278)	Data 0.198 (0.215)	Loss 4.0357 (4.0480)	Prec@1 17.188 (14.709)	Prec@5 39.844 (36.312)
Epoch: [32][500/7045]	Time 0.457 (0.278)	Data 0.405 (0.215)	Loss 4.0640 (4.0478)	Prec@1 16.016 (14.716)	Prec@5 38.672 (36.337)
Epoch: [32][510/7045]	Time 0.272 (0.278)	Data 0.222 (0.215)	Loss 3.7918 (4.0455)	Prec@1 16.797 (14.754)	Prec@5 41.016 (36.373)
Epoch: [32][520/7045]	Time 0.195 (0.278)	Data 0.144 (0.215)	Loss 4.0308 (4.0449)	Prec@1 13.672 (14.768)	Prec@5 37.109 (36.401)
Epoch: [32][530/7045]	Time 0.570 (0.278)	Data 0.508 (0.215)	Loss 4.1437 (4.0452)	Prec@1 16.016 (14.755)	Prec@5 35.156 (36.386)
Epoch: [32][540/7045]	Time 0.272 (0.277)	Data 0.221 (0.214)	Loss 3.9693 (4.0452)	Prec@1 15.625 (14.748)	Prec@5 39.844 (36.397)
Epoch: [32][550/7045]	Time 0.101 (0.277)	Data 0.001 (0.214)	Loss 3.9700 (4.0452)	Prec@1 13.281 (14.750)	Prec@5 38.672 (36.386)
Epoch: [32][560/7045]	Time 0.677 (0.277)	Data 0.626 (0.214)	Loss 4.0400 (4.0466)	Prec@1 13.281 (14.737)	Prec@5 38.672 (36.373)
Epoch: [32][570/7045]	Time 0.215 (0.276)	Data 0.166 (0.213)	Loss 4.1202 (4.0461)	Prec@1 13.281 (14.742)	Prec@5 36.719 (36.384)
Epoch: [32][580/7045]	Time 0.113 (0.275)	Data 0.061 (0.212)	Loss 4.0897 (4.0449)	Prec@1 17.188 (14.743)	Prec@5 34.766 (36.416)
Epoch: [32][590/7045]	Time 0.100 (0.276)	Data 0.001 (0.212)	Loss 4.0078 (4.0450)	Prec@1 16.797 (14.738)	Prec@5 40.234 (36.429)
Epoch: [32][600/7045]	Time 0.101 (0.275)	Data 0.001 (0.211)	Loss 3.9738 (4.0453)	Prec@1 14.844 (14.731)	Prec@5 41.016 (36.415)
Epoch: [32][610/7045]	Time 0.111 (0.275)	Data 0.060 (0.211)	Loss 4.1486 (4.0438)	Prec@1 11.719 (14.734)	Prec@5 35.547 (36.439)
Epoch: [32][620/7045]	Time 0.678 (0.275)	Data 0.627 (0.211)	Loss 4.1398 (4.0444)	Prec@1 14.062 (14.724)	Prec@5 37.891 (36.439)
Epoch: [32][630/7045]	Time 0.097 (0.274)	Data 0.001 (0.210)	Loss 4.0587 (4.0439)	Prec@1 15.625 (14.747)	Prec@5 35.938 (36.446)
Epoch: [32][640/7045]	Time 0.702 (0.274)	Data 0.650 (0.210)	Loss 4.0601 (4.0433)	Prec@1 15.625 (14.746)	Prec@5 37.109 (36.457)
Epoch: [32][650/7045]	Time 0.288 (0.273)	Data 0.237 (0.209)	Loss 4.0245 (4.0427)	Prec@1 15.625 (14.754)	Prec@5 37.891 (36.481)
Epoch: [32][660/7045]	Time 0.330 (0.273)	Data 0.279 (0.209)	Loss 4.0123 (4.0423)	Prec@1 14.062 (14.767)	Prec@5 33.984 (36.480)
Epoch: [32][670/7045]	Time 0.676 (0.274)	Data 0.625 (0.209)	Loss 4.0793 (4.0417)	Prec@1 13.281 (14.791)	Prec@5 35.938 (36.492)
Epoch: [32][680/7045]	Time 0.102 (0.273)	Data 0.001 (0.209)	Loss 3.9108 (4.0416)	Prec@1 15.234 (14.800)	Prec@5 39.062 (36.503)
Epoch: [32][690/7045]	Time 0.664 (0.273)	Data 0.613 (0.208)	Loss 4.1461 (4.0417)	Prec@1 14.844 (14.797)	Prec@5 37.500 (36.519)
Epoch: [32][700/7045]	Time 0.101 (0.273)	Data 0.001 (0.208)	Loss 4.0113 (4.0413)	Prec@1 18.359 (14.797)	Prec@5 37.500 (36.522)
Epoch: [32][710/7045]	Time 0.180 (0.273)	Data 0.121 (0.208)	Loss 4.0337 (4.0402)	Prec@1 10.938 (14.797)	Prec@5 35.547 (36.556)
Epoch: [32][720/7045]	Time 0.101 (0.272)	Data 0.009 (0.207)	Loss 3.9962 (4.0404)	Prec@1 16.016 (14.792)	Prec@5 39.844 (36.554)
Epoch: [32][730/7045]	Time 0.107 (0.272)	Data 0.056 (0.207)	Loss 4.0535 (4.0395)	Prec@1 14.844 (14.808)	Prec@5 38.672 (36.573)
Epoch: [32][740/7045]	Time 0.214 (0.272)	Data 0.163 (0.207)	Loss 4.1035 (4.0392)	Prec@1 12.891 (14.809)	Prec@5 38.281 (36.593)
Epoch: [32][750/7045]	Time 0.109 (0.272)	Data 0.057 (0.207)	Loss 3.9016 (4.0398)	Prec@1 16.797 (14.804)	Prec@5 38.672 (36.591)
Epoch: [32][760/7045]	Time 0.102 (0.271)	Data 0.005 (0.206)	Loss 4.2155 (4.0396)	Prec@1 15.234 (14.819)	Prec@5 35.547 (36.614)
Epoch: [32][770/7045]	Time 0.100 (0.271)	Data 0.005 (0.206)	Loss 3.9523 (4.0391)	Prec@1 18.359 (14.820)	Prec@5 39.453 (36.631)
Epoch: [32][780/7045]	Time 0.169 (0.271)	Data 0.118 (0.206)	Loss 3.9011 (4.0386)	Prec@1 16.797 (14.839)	Prec@5 38.281 (36.645)
Epoch: [32][790/7045]	Time 0.677 (0.271)	Data 0.626 (0.207)	Loss 3.9812 (4.0391)	Prec@1 17.188 (14.846)	Prec@5 41.797 (36.636)
Epoch: [32][800/7045]	Time 0.120 (0.271)	Data 0.068 (0.206)	Loss 4.0526 (4.0394)	Prec@1 12.109 (14.837)	Prec@5 33.984 (36.627)
Epoch: [32][810/7045]	Time 0.320 (0.271)	Data 0.269 (0.206)	Loss 4.2432 (4.0392)	Prec@1 11.719 (14.831)	Prec@5 32.031 (36.638)
Epoch: [32][820/7045]	Time 0.524 (0.271)	Data 0.473 (0.206)	Loss 3.9656 (4.0398)	Prec@1 14.844 (14.822)	Prec@5 36.328 (36.625)
Epoch: [32][830/7045]	Time 0.101 (0.270)	Data 0.001 (0.206)	Loss 4.0578 (4.0398)	Prec@1 12.500 (14.818)	Prec@5 37.109 (36.625)
Epoch: [32][840/7045]	Time 0.355 (0.270)	Data 0.304 (0.205)	Loss 4.0654 (4.0403)	Prec@1 13.281 (14.808)	Prec@5 34.766 (36.617)
Epoch: [32][850/7045]	Time 0.103 (0.270)	Data 0.001 (0.205)	Loss 4.1639 (4.0408)	Prec@1 9.766 (14.792)	Prec@5 32.812 (36.601)
Epoch: [32][860/7045]	Time 0.146 (0.270)	Data 0.094 (0.205)	Loss 4.1793 (4.0406)	Prec@1 14.844 (14.800)	Prec@5 33.984 (36.610)
Epoch: [32][870/7045]	Time 0.238 (0.270)	Data 0.187 (0.205)	Loss 3.9995 (4.0404)	Prec@1 13.281 (14.785)	Prec@5 37.891 (36.609)
Epoch: [32][880/7045]	Time 0.102 (0.270)	Data 0.001 (0.205)	Loss 4.0379 (4.0406)	Prec@1 14.453 (14.778)	Prec@5 37.500 (36.611)
Epoch: [32][890/7045]	Time 0.290 (0.270)	Data 0.239 (0.204)	Loss 3.8537 (4.0403)	Prec@1 15.625 (14.780)	Prec@5 44.531 (36.612)
Epoch: [32][900/7045]	Time 0.176 (0.270)	Data 0.125 (0.205)	Loss 4.0134 (4.0404)	Prec@1 12.500 (14.776)	Prec@5 32.031 (36.616)
Epoch: [32][910/7045]	Time 0.260 (0.269)	Data 0.208 (0.204)	Loss 3.7959 (4.0401)	Prec@1 20.703 (14.790)	Prec@5 42.578 (36.622)
Epoch: [32][920/7045]	Time 0.099 (0.269)	Data 0.001 (0.204)	Loss 4.1313 (4.0402)	Prec@1 12.500 (14.789)	Prec@5 32.422 (36.627)
Epoch: [32][930/7045]	Time 0.580 (0.269)	Data 0.528 (0.204)	Loss 4.3019 (4.0405)	Prec@1 14.453 (14.793)	Prec@5 33.984 (36.624)
Epoch: [32][940/7045]	Time 0.127 (0.269)	Data 0.075 (0.204)	Loss 3.9878 (4.0404)	Prec@1 16.797 (14.799)	Prec@5 37.109 (36.620)
Epoch: [32][950/7045]	Time 0.408 (0.269)	Data 0.356 (0.204)	Loss 3.8960 (4.0403)	Prec@1 18.359 (14.802)	Prec@5 40.234 (36.635)
Epoch: [32][960/7045]	Time 0.112 (0.269)	Data 0.061 (0.204)	Loss 4.0439 (4.0399)	Prec@1 14.453 (14.794)	Prec@5 36.328 (36.630)
Epoch: [32][970/7045]	Time 0.120 (0.269)	Data 0.070 (0.204)	Loss 3.9570 (4.0395)	Prec@1 13.672 (14.803)	Prec@5 37.891 (36.641)
Epoch: [32][980/7045]	Time 0.202 (0.268)	Data 0.152 (0.204)	Loss 4.1158 (4.0395)	Prec@1 13.281 (14.799)	Prec@5 36.719 (36.637)
Epoch: [32][990/7045]	Time 0.145 (0.268)	Data 0.094 (0.204)	Loss 4.1329 (4.0397)	Prec@1 11.328 (14.796)	Prec@5 35.547 (36.633)
Epoch: [32][1000/7045]	Time 0.121 (0.268)	Data 0.068 (0.204)	Loss 4.2755 (4.0394)	Prec@1 11.719 (14.804)	Prec@5 30.859 (36.638)
Epoch: [32][1010/7045]	Time 0.227 (0.268)	Data 0.168 (0.204)	Loss 3.9672 (4.0392)	Prec@1 12.891 (14.806)	Prec@5 38.281 (36.636)
Epoch: [32][1020/7045]	Time 0.102 (0.268)	Data 0.001 (0.203)	Loss 4.2142 (4.0397)	Prec@1 10.156 (14.800)	Prec@5 34.375 (36.618)
Epoch: [32][1030/7045]	Time 0.111 (0.268)	Data 0.001 (0.203)	Loss 3.9690 (4.0396)	Prec@1 16.797 (14.794)	Prec@5 40.234 (36.616)
Epoch: [32][1040/7045]	Time 0.101 (0.268)	Data 0.001 (0.203)	Loss 3.8555 (4.0395)	Prec@1 17.188 (14.786)	Prec@5 39.844 (36.624)
Epoch: [32][1050/7045]	Time 0.111 (0.268)	Data 0.001 (0.203)	Loss 4.1073 (4.0398)	Prec@1 12.109 (14.784)	Prec@5 39.453 (36.622)
Epoch: [32][1060/7045]	Time 0.102 (0.267)	Data 0.001 (0.202)	Loss 4.0207 (4.0397)	Prec@1 13.281 (14.783)	Prec@5 38.281 (36.632)
Epoch: [32][1070/7045]	Time 0.101 (0.268)	Data 0.001 (0.202)	Loss 3.8403 (4.0396)	Prec@1 19.531 (14.782)	Prec@5 40.234 (36.642)
Epoch: [32][1080/7045]	Time 0.104 (0.267)	Data 0.050 (0.202)	Loss 3.9185 (4.0387)	Prec@1 17.188 (14.792)	Prec@5 38.672 (36.657)
Epoch: [32][1090/7045]	Time 0.111 (0.267)	Data 0.051 (0.202)	Loss 3.9687 (4.0389)	Prec@1 16.406 (14.800)	Prec@5 35.938 (36.654)
Epoch: [32][1100/7045]	Time 0.100 (0.267)	Data 0.001 (0.202)	Loss 3.9604 (4.0388)	Prec@1 13.281 (14.797)	Prec@5 38.672 (36.650)
Epoch: [32][1110/7045]	Time 0.102 (0.267)	Data 0.049 (0.202)	Loss 4.0210 (4.0383)	Prec@1 15.234 (14.807)	Prec@5 35.547 (36.665)
Epoch: [32][1120/7045]	Time 0.231 (0.267)	Data 0.181 (0.202)	Loss 4.0241 (4.0377)	Prec@1 14.453 (14.809)	Prec@5 37.500 (36.678)
Epoch: [32][1130/7045]	Time 0.116 (0.267)	Data 0.064 (0.201)	Loss 4.0849 (4.0374)	Prec@1 14.453 (14.806)	Prec@5 36.719 (36.682)
Epoch: [32][1140/7045]	Time 0.499 (0.267)	Data 0.440 (0.202)	Loss 3.9737 (4.0375)	Prec@1 12.109 (14.798)	Prec@5 39.062 (36.687)
Epoch: [32][1150/7045]	Time 0.106 (0.266)	Data 0.054 (0.201)	Loss 4.0312 (4.0376)	Prec@1 15.234 (14.799)	Prec@5 37.891 (36.687)
Epoch: [32][1160/7045]	Time 0.312 (0.267)	Data 0.252 (0.202)	Loss 4.2058 (4.0375)	Prec@1 16.016 (14.805)	Prec@5 34.375 (36.690)
Epoch: [32][1170/7045]	Time 0.101 (0.266)	Data 0.003 (0.201)	Loss 4.1566 (4.0378)	Prec@1 14.062 (14.800)	Prec@5 37.891 (36.692)
Epoch: [32][1180/7045]	Time 0.101 (0.266)	Data 0.010 (0.202)	Loss 4.1648 (4.0377)	Prec@1 11.719 (14.789)	Prec@5 37.891 (36.696)
Epoch: [32][1190/7045]	Time 0.101 (0.266)	Data 0.020 (0.201)	Loss 4.0042 (4.0376)	Prec@1 14.844 (14.792)	Prec@5 33.984 (36.696)
Epoch: [32][1200/7045]	Time 0.149 (0.266)	Data 0.098 (0.201)	Loss 4.0177 (4.0373)	Prec@1 15.234 (14.791)	Prec@5 33.984 (36.702)
Epoch: [32][1210/7045]	Time 0.101 (0.266)	Data 0.003 (0.201)	Loss 4.0320 (4.0373)	Prec@1 13.672 (14.797)	Prec@5 39.844 (36.708)
Epoch: [32][1220/7045]	Time 0.536 (0.266)	Data 0.484 (0.201)	Loss 3.9963 (4.0368)	Prec@1 13.672 (14.800)	Prec@5 36.328 (36.721)
Epoch: [32][1230/7045]	Time 0.104 (0.266)	Data 0.051 (0.201)	Loss 3.9424 (4.0368)	Prec@1 16.797 (14.800)	Prec@5 39.062 (36.717)
Epoch: [32][1240/7045]	Time 0.347 (0.266)	Data 0.286 (0.201)	Loss 4.0899 (4.0367)	Prec@1 12.500 (14.804)	Prec@5 36.328 (36.725)
Epoch: [32][1250/7045]	Time 0.184 (0.266)	Data 0.133 (0.201)	Loss 4.0437 (4.0368)	Prec@1 13.672 (14.794)	Prec@5 37.891 (36.726)
Epoch: [32][1260/7045]	Time 0.100 (0.265)	Data 0.018 (0.201)	Loss 3.9812 (4.0366)	Prec@1 15.625 (14.793)	Prec@5 36.719 (36.732)
Epoch: [32][1270/7045]	Time 0.110 (0.265)	Data 0.058 (0.201)	Loss 3.8665 (4.0361)	Prec@1 16.016 (14.803)	Prec@5 37.891 (36.744)
Epoch: [32][1280/7045]	Time 0.490 (0.265)	Data 0.429 (0.201)	Loss 4.1372 (4.0363)	Prec@1 14.062 (14.800)	Prec@5 35.938 (36.739)
Epoch: [32][1290/7045]	Time 0.102 (0.265)	Data 0.001 (0.200)	Loss 4.1592 (4.0363)	Prec@1 13.281 (14.794)	Prec@5 33.984 (36.743)
Epoch: [32][1300/7045]	Time 0.641 (0.265)	Data 0.582 (0.200)	Loss 4.1202 (4.0358)	Prec@1 12.891 (14.801)	Prec@5 35.938 (36.756)
Epoch: [32][1310/7045]	Time 0.102 (0.265)	Data 0.001 (0.200)	Loss 4.1384 (4.0357)	Prec@1 13.281 (14.808)	Prec@5 31.641 (36.756)
Epoch: [32][1320/7045]	Time 0.537 (0.265)	Data 0.479 (0.200)	Loss 3.8793 (4.0357)	Prec@1 13.672 (14.806)	Prec@5 36.328 (36.753)
Epoch: [32][1330/7045]	Time 0.187 (0.265)	Data 0.135 (0.200)	Loss 4.0200 (4.0352)	Prec@1 14.844 (14.813)	Prec@5 36.719 (36.765)
Epoch: [32][1340/7045]	Time 0.328 (0.265)	Data 0.277 (0.200)	Loss 3.9830 (4.0350)	Prec@1 14.062 (14.817)	Prec@5 35.938 (36.766)
Epoch: [32][1350/7045]	Time 0.182 (0.264)	Data 0.131 (0.199)	Loss 3.8939 (4.0349)	Prec@1 14.844 (14.809)	Prec@5 37.500 (36.764)
Epoch: [32][1360/7045]	Time 0.109 (0.265)	Data 0.016 (0.199)	Loss 4.3041 (4.0346)	Prec@1 12.500 (14.810)	Prec@5 30.859 (36.762)
Epoch: [32][1370/7045]	Time 0.115 (0.264)	Data 0.061 (0.199)	Loss 3.9710 (4.0345)	Prec@1 16.406 (14.810)	Prec@5 38.672 (36.768)
Epoch: [32][1380/7045]	Time 0.136 (0.264)	Data 0.085 (0.199)	Loss 4.0738 (4.0347)	Prec@1 13.672 (14.808)	Prec@5 35.156 (36.762)
Epoch: [32][1390/7045]	Time 0.131 (0.264)	Data 0.079 (0.199)	Loss 4.0813 (4.0343)	Prec@1 12.500 (14.811)	Prec@5 34.375 (36.769)
Epoch: [32][1400/7045]	Time 0.151 (0.264)	Data 0.097 (0.199)	Loss 4.0941 (4.0341)	Prec@1 12.891 (14.808)	Prec@5 35.156 (36.768)
Epoch: [32][1410/7045]	Time 0.453 (0.264)	Data 0.401 (0.199)	Loss 3.9916 (4.0342)	Prec@1 19.922 (14.806)	Prec@5 41.016 (36.759)
Epoch: [32][1420/7045]	Time 0.103 (0.264)	Data 0.017 (0.199)	Loss 4.1167 (4.0346)	Prec@1 12.500 (14.802)	Prec@5 35.938 (36.747)
Epoch: [32][1430/7045]	Time 0.117 (0.264)	Data 0.066 (0.199)	Loss 4.2304 (4.0346)	Prec@1 14.453 (14.796)	Prec@5 32.812 (36.737)
Epoch: [32][1440/7045]	Time 0.102 (0.264)	Data 0.001 (0.198)	Loss 4.0868 (4.0347)	Prec@1 14.453 (14.795)	Prec@5 32.422 (36.736)
Epoch: [32][1450/7045]	Time 0.194 (0.264)	Data 0.134 (0.198)	Loss 3.9609 (4.0345)	Prec@1 16.016 (14.792)	Prec@5 39.453 (36.741)
Epoch: [32][1460/7045]	Time 0.195 (0.263)	Data 0.145 (0.198)	Loss 4.0430 (4.0341)	Prec@1 14.453 (14.799)	Prec@5 39.453 (36.751)
Epoch: [32][1470/7045]	Time 0.227 (0.263)	Data 0.175 (0.198)	Loss 3.9960 (4.0339)	Prec@1 14.453 (14.799)	Prec@5 38.672 (36.755)
Epoch: [32][1480/7045]	Time 0.106 (0.263)	Data 0.054 (0.198)	Loss 4.0484 (4.0336)	Prec@1 15.234 (14.799)	Prec@5 37.891 (36.757)
Epoch: [32][1490/7045]	Time 0.101 (0.263)	Data 0.001 (0.198)	Loss 4.2179 (4.0343)	Prec@1 10.156 (14.791)	Prec@5 32.422 (36.748)
Epoch: [32][1500/7045]	Time 0.114 (0.263)	Data 0.060 (0.198)	Loss 4.0588 (4.0344)	Prec@1 16.016 (14.788)	Prec@5 37.891 (36.751)
Epoch: [32][1510/7045]	Time 0.116 (0.263)	Data 0.065 (0.198)	Loss 3.9949 (4.0345)	Prec@1 13.672 (14.786)	Prec@5 37.500 (36.747)
Epoch: [32][1520/7045]	Time 0.102 (0.263)	Data 0.001 (0.198)	Loss 4.0777 (4.0343)	Prec@1 15.234 (14.791)	Prec@5 34.766 (36.757)
Epoch: [32][1530/7045]	Time 0.100 (0.263)	Data 0.001 (0.198)	Loss 3.9253 (4.0341)	Prec@1 12.891 (14.795)	Prec@5 36.328 (36.769)
Epoch: [32][1540/7045]	Time 0.210 (0.263)	Data 0.158 (0.197)	Loss 3.9727 (4.0337)	Prec@1 17.188 (14.805)	Prec@5 37.109 (36.778)
Epoch: [32][1550/7045]	Time 0.338 (0.263)	Data 0.286 (0.197)	Loss 4.0433 (4.0336)	Prec@1 15.234 (14.802)	Prec@5 34.375 (36.772)
Epoch: [32][1560/7045]	Time 0.205 (0.263)	Data 0.154 (0.197)	Loss 4.0176 (4.0336)	Prec@1 16.797 (14.802)	Prec@5 35.547 (36.775)
Epoch: [32][1570/7045]	Time 0.264 (0.263)	Data 0.213 (0.197)	Loss 4.2122 (4.0338)	Prec@1 12.500 (14.799)	Prec@5 37.500 (36.771)
Epoch: [32][1580/7045]	Time 0.179 (0.262)	Data 0.129 (0.197)	Loss 4.0813 (4.0338)	Prec@1 11.719 (14.798)	Prec@5 34.375 (36.768)
Epoch: [32][1590/7045]	Time 0.116 (0.262)	Data 0.066 (0.197)	Loss 3.9676 (4.0340)	Prec@1 14.844 (14.791)	Prec@5 36.328 (36.758)
Epoch: [32][1600/7045]	Time 0.314 (0.262)	Data 0.261 (0.197)	Loss 4.1011 (4.0342)	Prec@1 9.375 (14.783)	Prec@5 35.547 (36.762)
Epoch: [32][1610/7045]	Time 0.101 (0.262)	Data 0.017 (0.197)	Loss 3.9593 (4.0344)	Prec@1 11.719 (14.781)	Prec@5 37.500 (36.753)
Epoch: [32][1620/7045]	Time 0.277 (0.262)	Data 0.227 (0.197)	Loss 4.0771 (4.0342)	Prec@1 11.719 (14.779)	Prec@5 33.594 (36.755)
Epoch: [32][1630/7045]	Time 0.288 (0.262)	Data 0.236 (0.197)	Loss 4.1073 (4.0339)	Prec@1 13.672 (14.787)	Prec@5 33.594 (36.766)
Epoch: [32][1640/7045]	Time 0.101 (0.262)	Data 0.006 (0.197)	Loss 3.9235 (4.0338)	Prec@1 14.844 (14.787)	Prec@5 42.969 (36.772)
Epoch: [32][1650/7045]	Time 0.101 (0.262)	Data 0.011 (0.197)	Loss 3.9986 (4.0338)	Prec@1 16.016 (14.783)	Prec@5 38.281 (36.768)
Epoch: [32][1660/7045]	Time 0.146 (0.262)	Data 0.087 (0.197)	Loss 3.9097 (4.0336)	Prec@1 16.406 (14.780)	Prec@5 39.453 (36.777)
Epoch: [32][1670/7045]	Time 0.101 (0.262)	Data 0.007 (0.197)	Loss 3.9769 (4.0338)	Prec@1 12.891 (14.775)	Prec@5 37.500 (36.766)
Epoch: [32][1680/7045]	Time 0.102 (0.262)	Data 0.003 (0.197)	Loss 3.9247 (4.0336)	Prec@1 12.500 (14.775)	Prec@5 39.453 (36.769)
Epoch: [32][1690/7045]	Time 0.102 (0.262)	Data 0.001 (0.197)	Loss 4.0098 (4.0335)	Prec@1 16.797 (14.777)	Prec@5 36.719 (36.767)
Epoch: [32][1700/7045]	Time 0.118 (0.262)	Data 0.066 (0.197)	Loss 4.0062 (4.0334)	Prec@1 14.453 (14.774)	Prec@5 41.406 (36.774)
Epoch: [32][1710/7045]	Time 0.105 (0.262)	Data 0.052 (0.197)	Loss 3.8312 (4.0331)	Prec@1 14.844 (14.775)	Prec@5 39.453 (36.786)
Epoch: [32][1720/7045]	Time 0.147 (0.262)	Data 0.096 (0.197)	Loss 4.0276 (4.0329)	Prec@1 15.234 (14.780)	Prec@5 40.234 (36.787)
Epoch: [32][1730/7045]	Time 0.101 (0.262)	Data 0.011 (0.197)	Loss 4.0411 (4.0328)	Prec@1 11.328 (14.776)	Prec@5 29.688 (36.784)
Epoch: [32][1740/7045]	Time 0.174 (0.262)	Data 0.122 (0.197)	Loss 3.7503 (4.0327)	Prec@1 17.188 (14.771)	Prec@5 42.969 (36.785)
Epoch: [32][1750/7045]	Time 0.511 (0.262)	Data 0.452 (0.197)	Loss 4.0967 (4.0328)	Prec@1 15.234 (14.769)	Prec@5 33.594 (36.777)
Epoch: [32][1760/7045]	Time 0.359 (0.262)	Data 0.308 (0.197)	Loss 3.9258 (4.0329)	Prec@1 15.234 (14.765)	Prec@5 41.406 (36.776)
Epoch: [32][1770/7045]	Time 0.420 (0.262)	Data 0.368 (0.197)	Loss 3.8629 (4.0327)	Prec@1 15.625 (14.764)	Prec@5 36.719 (36.779)
Epoch: [32][1780/7045]	Time 0.431 (0.262)	Data 0.380 (0.197)	Loss 4.1653 (4.0329)	Prec@1 16.406 (14.765)	Prec@5 35.938 (36.778)
Epoch: [32][1790/7045]	Time 0.394 (0.262)	Data 0.345 (0.197)	Loss 4.1570 (4.0328)	Prec@1 15.625 (14.768)	Prec@5 32.812 (36.780)
Epoch: [32][1800/7045]	Time 0.271 (0.261)	Data 0.212 (0.197)	Loss 4.0742 (4.0324)	Prec@1 12.109 (14.775)	Prec@5 34.375 (36.789)
Epoch: [32][1810/7045]	Time 0.200 (0.261)	Data 0.149 (0.197)	Loss 3.9027 (4.0321)	Prec@1 14.453 (14.771)	Prec@5 39.844 (36.796)
Epoch: [32][1820/7045]	Time 0.208 (0.261)	Data 0.156 (0.197)	Loss 3.9359 (4.0321)	Prec@1 16.016 (14.777)	Prec@5 38.672 (36.802)
Epoch: [32][1830/7045]	Time 0.102 (0.261)	Data 0.003 (0.197)	Loss 3.9800 (4.0315)	Prec@1 13.672 (14.783)	Prec@5 38.281 (36.815)
Epoch: [32][1840/7045]	Time 0.102 (0.261)	Data 0.001 (0.197)	Loss 4.0854 (4.0314)	Prec@1 17.188 (14.783)	Prec@5 37.500 (36.819)
Epoch: [32][1850/7045]	Time 0.101 (0.261)	Data 0.046 (0.197)	Loss 4.0832 (4.0309)	Prec@1 16.016 (14.789)	Prec@5 35.156 (36.825)
Epoch: [32][1860/7045]	Time 0.107 (0.261)	Data 0.055 (0.197)	Loss 4.4182 (4.0308)	Prec@1 14.453 (14.795)	Prec@5 32.422 (36.837)
Epoch: [32][1870/7045]	Time 0.101 (0.261)	Data 0.002 (0.197)	Loss 4.0776 (4.0306)	Prec@1 16.797 (14.797)	Prec@5 37.500 (36.844)
Epoch: [32][1880/7045]	Time 0.101 (0.261)	Data 0.001 (0.197)	Loss 3.9299 (4.0305)	Prec@1 17.578 (14.801)	Prec@5 38.672 (36.850)
Epoch: [32][1890/7045]	Time 0.101 (0.261)	Data 0.004 (0.196)	Loss 4.0231 (4.0300)	Prec@1 10.938 (14.806)	Prec@5 33.984 (36.857)
Epoch: [32][1900/7045]	Time 0.198 (0.261)	Data 0.147 (0.197)	Loss 3.9817 (4.0299)	Prec@1 14.453 (14.806)	Prec@5 36.719 (36.860)
Epoch: [32][1910/7045]	Time 0.101 (0.261)	Data 0.008 (0.196)	Loss 4.0719 (4.0299)	Prec@1 14.062 (14.806)	Prec@5 34.766 (36.857)
Epoch: [32][1920/7045]	Time 0.294 (0.261)	Data 0.241 (0.196)	Loss 4.1109 (4.0302)	Prec@1 12.500 (14.799)	Prec@5 34.766 (36.847)
Epoch: [32][1930/7045]	Time 0.199 (0.261)	Data 0.149 (0.196)	Loss 4.0875 (4.0300)	Prec@1 10.156 (14.810)	Prec@5 35.938 (36.854)
Epoch: [32][1940/7045]	Time 0.276 (0.261)	Data 0.225 (0.196)	Loss 4.1079 (4.0299)	Prec@1 14.453 (14.812)	Prec@5 35.938 (36.856)
Epoch: [32][1950/7045]	Time 0.479 (0.261)	Data 0.429 (0.197)	Loss 4.0474 (4.0292)	Prec@1 11.719 (14.817)	Prec@5 33.594 (36.870)
Epoch: [32][1960/7045]	Time 0.109 (0.261)	Data 0.001 (0.196)	Loss 4.0153 (4.0291)	Prec@1 9.375 (14.813)	Prec@5 31.250 (36.868)
Epoch: [32][1970/7045]	Time 0.627 (0.261)	Data 0.566 (0.196)	Loss 3.8813 (4.0292)	Prec@1 15.625 (14.812)	Prec@5 40.625 (36.869)
Epoch: [32][1980/7045]	Time 0.102 (0.261)	Data 0.001 (0.196)	Loss 4.1758 (4.0292)	Prec@1 12.500 (14.817)	Prec@5 34.375 (36.871)
Epoch: [32][1990/7045]	Time 0.296 (0.261)	Data 0.245 (0.196)	Loss 4.2697 (4.0293)	Prec@1 13.672 (14.818)	Prec@5 32.031 (36.871)
Epoch: [32][2000/7045]	Time 0.119 (0.261)	Data 0.068 (0.196)	Loss 3.9272 (4.0292)	Prec@1 14.062 (14.821)	Prec@5 39.062 (36.871)
Epoch: [32][2010/7045]	Time 0.433 (0.261)	Data 0.381 (0.196)	Loss 3.9115 (4.0290)	Prec@1 14.453 (14.820)	Prec@5 38.672 (36.873)
Epoch: [32][2020/7045]	Time 0.113 (0.261)	Data 0.062 (0.196)	Loss 4.1236 (4.0286)	Prec@1 14.844 (14.826)	Prec@5 38.672 (36.886)
Epoch: [32][2030/7045]	Time 0.406 (0.261)	Data 0.355 (0.196)	Loss 3.8706 (4.0283)	Prec@1 20.312 (14.827)	Prec@5 41.406 (36.892)
Epoch: [32][2040/7045]	Time 0.228 (0.260)	Data 0.177 (0.196)	Loss 4.1374 (4.0284)	Prec@1 13.672 (14.827)	Prec@5 34.766 (36.886)
Epoch: [32][2050/7045]	Time 0.199 (0.260)	Data 0.137 (0.196)	Loss 4.0318 (4.0283)	Prec@1 16.797 (14.830)	Prec@5 41.406 (36.891)
Epoch: [32][2060/7045]	Time 0.102 (0.260)	Data 0.001 (0.196)	Loss 4.0682 (4.0281)	Prec@1 12.109 (14.835)	Prec@5 37.109 (36.893)
Epoch: [32][2070/7045]	Time 0.125 (0.260)	Data 0.074 (0.196)	Loss 3.8932 (4.0283)	Prec@1 14.453 (14.833)	Prec@5 42.578 (36.893)
Epoch: [32][2080/7045]	Time 0.108 (0.260)	Data 0.056 (0.196)	Loss 3.9571 (4.0280)	Prec@1 16.406 (14.835)	Prec@5 40.625 (36.905)
Epoch: [32][2090/7045]	Time 0.100 (0.260)	Data 0.001 (0.196)	Loss 3.8500 (4.0279)	Prec@1 16.797 (14.838)	Prec@5 42.188 (36.911)
Epoch: [32][2100/7045]	Time 0.108 (0.260)	Data 0.058 (0.196)	Loss 4.0753 (4.0280)	Prec@1 18.359 (14.844)	Prec@5 37.891 (36.913)
Epoch: [32][2110/7045]	Time 0.134 (0.260)	Data 0.081 (0.196)	Loss 4.0662 (4.0279)	Prec@1 14.453 (14.844)	Prec@5 36.328 (36.913)
Epoch: [32][2120/7045]	Time 0.272 (0.260)	Data 0.220 (0.196)	Loss 3.8016 (4.0276)	Prec@1 18.750 (14.845)	Prec@5 44.531 (36.922)
Epoch: [32][2130/7045]	Time 0.100 (0.260)	Data 0.001 (0.196)	Loss 4.1452 (4.0276)	Prec@1 14.062 (14.846)	Prec@5 35.547 (36.920)
Epoch: [32][2140/7045]	Time 0.272 (0.260)	Data 0.221 (0.196)	Loss 4.0660 (4.0277)	Prec@1 14.453 (14.841)	Prec@5 34.766 (36.913)
Epoch: [32][2150/7045]	Time 0.103 (0.260)	Data 0.051 (0.196)	Loss 3.9733 (4.0277)	Prec@1 14.453 (14.838)	Prec@5 39.844 (36.909)
Epoch: [32][2160/7045]	Time 0.101 (0.260)	Data 0.012 (0.196)	Loss 3.8267 (4.0276)	Prec@1 17.578 (14.835)	Prec@5 39.062 (36.909)
Epoch: [32][2170/7045]	Time 0.101 (0.260)	Data 0.001 (0.196)	Loss 3.7937 (4.0274)	Prec@1 17.578 (14.838)	Prec@5 44.531 (36.912)
Epoch: [32][2180/7045]	Time 0.104 (0.260)	Data 0.051 (0.196)	Loss 4.0047 (4.0271)	Prec@1 13.672 (14.838)	Prec@5 38.281 (36.915)
Epoch: [32][2190/7045]	Time 0.156 (0.260)	Data 0.105 (0.195)	Loss 4.1315 (4.0269)	Prec@1 12.500 (14.842)	Prec@5 33.203 (36.920)
Epoch: [32][2200/7045]	Time 0.104 (0.260)	Data 0.053 (0.195)	Loss 4.2069 (4.0270)	Prec@1 11.719 (14.838)	Prec@5 32.812 (36.919)
Epoch: [32][2210/7045]	Time 0.426 (0.260)	Data 0.370 (0.195)	Loss 3.9114 (4.0269)	Prec@1 14.062 (14.838)	Prec@5 39.062 (36.919)
Epoch: [32][2220/7045]	Time 0.102 (0.260)	Data 0.001 (0.195)	Loss 3.9308 (4.0267)	Prec@1 15.625 (14.839)	Prec@5 39.453 (36.926)
Epoch: [32][2230/7045]	Time 0.258 (0.260)	Data 0.202 (0.195)	Loss 3.9366 (4.0267)	Prec@1 14.844 (14.842)	Prec@5 37.500 (36.928)
Epoch: [32][2240/7045]	Time 0.539 (0.260)	Data 0.488 (0.195)	Loss 3.8280 (4.0266)	Prec@1 17.188 (14.843)	Prec@5 41.406 (36.933)
Epoch: [32][2250/7045]	Time 0.101 (0.260)	Data 0.001 (0.195)	Loss 3.9761 (4.0263)	Prec@1 16.406 (14.844)	Prec@5 37.109 (36.938)
Epoch: [32][2260/7045]	Time 0.573 (0.260)	Data 0.521 (0.195)	Loss 4.2136 (4.0261)	Prec@1 10.547 (14.843)	Prec@5 34.375 (36.941)
Epoch: [32][2270/7045]	Time 0.102 (0.260)	Data 0.014 (0.195)	Loss 4.0282 (4.0261)	Prec@1 15.234 (14.844)	Prec@5 37.500 (36.939)
Epoch: [32][2280/7045]	Time 0.168 (0.260)	Data 0.117 (0.195)	Loss 4.0002 (4.0260)	Prec@1 19.141 (14.844)	Prec@5 40.625 (36.942)
Epoch: [32][2290/7045]	Time 0.102 (0.260)	Data 0.001 (0.195)	Loss 3.8406 (4.0259)	Prec@1 16.016 (14.843)	Prec@5 45.312 (36.953)
Epoch: [32][2300/7045]	Time 0.531 (0.260)	Data 0.473 (0.195)	Loss 3.9580 (4.0254)	Prec@1 14.453 (14.844)	Prec@5 36.328 (36.962)
Epoch: [32][2310/7045]	Time 0.103 (0.260)	Data 0.003 (0.195)	Loss 3.9765 (4.0252)	Prec@1 16.016 (14.842)	Prec@5 41.406 (36.965)
Epoch: [32][2320/7045]	Time 0.512 (0.260)	Data 0.461 (0.195)	Loss 4.0100 (4.0253)	Prec@1 16.406 (14.843)	Prec@5 39.453 (36.959)
Epoch: [32][2330/7045]	Time 0.140 (0.260)	Data 0.089 (0.195)	Loss 3.9871 (4.0250)	Prec@1 16.406 (14.848)	Prec@5 38.281 (36.970)
Epoch: [32][2340/7045]	Time 0.216 (0.260)	Data 0.166 (0.195)	Loss 3.9485 (4.0250)	Prec@1 11.328 (14.847)	Prec@5 35.156 (36.968)
Epoch: [32][2350/7045]	Time 0.213 (0.260)	Data 0.161 (0.195)	Loss 4.1040 (4.0250)	Prec@1 15.625 (14.848)	Prec@5 38.281 (36.972)
Epoch: [32][2360/7045]	Time 0.102 (0.259)	Data 0.015 (0.195)	Loss 3.8771 (4.0249)	Prec@1 15.625 (14.850)	Prec@5 40.234 (36.976)
Epoch: [32][2370/7045]	Time 0.281 (0.260)	Data 0.228 (0.195)	Loss 3.9884 (4.0247)	Prec@1 12.500 (14.851)	Prec@5 35.938 (36.975)
Epoch: [32][2380/7045]	Time 0.101 (0.259)	Data 0.014 (0.195)	Loss 3.9322 (4.0246)	Prec@1 12.500 (14.853)	Prec@5 35.938 (36.977)
Epoch: [32][2390/7045]	Time 0.242 (0.259)	Data 0.190 (0.195)	Loss 4.1301 (4.0245)	Prec@1 15.234 (14.856)	Prec@5 33.594 (36.982)
Epoch: [32][2400/7045]	Time 0.243 (0.259)	Data 0.184 (0.195)	Loss 3.8729 (4.0246)	Prec@1 19.531 (14.861)	Prec@5 39.453 (36.984)
Epoch: [32][2410/7045]	Time 0.374 (0.259)	Data 0.323 (0.195)	Loss 4.0172 (4.0245)	Prec@1 10.547 (14.863)	Prec@5 36.719 (36.983)
Epoch: [32][2420/7045]	Time 0.627 (0.259)	Data 0.569 (0.195)	Loss 3.9446 (4.0242)	Prec@1 16.406 (14.866)	Prec@5 37.500 (36.986)
Epoch: [32][2430/7045]	Time 0.174 (0.259)	Data 0.124 (0.195)	Loss 3.9621 (4.0241)	Prec@1 16.016 (14.870)	Prec@5 39.062 (36.992)
Epoch: [32][2440/7045]	Time 0.398 (0.259)	Data 0.346 (0.195)	Loss 4.0673 (4.0238)	Prec@1 14.844 (14.871)	Prec@5 33.984 (36.995)
Epoch: [32][2450/7045]	Time 0.101 (0.259)	Data 0.016 (0.195)	Loss 3.9393 (4.0237)	Prec@1 14.453 (14.872)	Prec@5 39.844 (36.997)
Epoch: [32][2460/7045]	Time 0.258 (0.259)	Data 0.206 (0.195)	Loss 4.0267 (4.0237)	Prec@1 15.625 (14.872)	Prec@5 39.062 (36.998)
Epoch: [32][2470/7045]	Time 0.101 (0.259)	Data 0.002 (0.195)	Loss 3.9399 (4.0236)	Prec@1 16.797 (14.871)	Prec@5 39.453 (36.997)
Epoch: [32][2480/7045]	Time 0.106 (0.259)	Data 0.054 (0.195)	Loss 3.8244 (4.0235)	Prec@1 16.406 (14.870)	Prec@5 42.188 (37.004)
Epoch: [32][2490/7045]	Time 0.140 (0.259)	Data 0.089 (0.195)	Loss 4.0100 (4.0234)	Prec@1 16.797 (14.876)	Prec@5 39.062 (37.012)
Epoch: [32][2500/7045]	Time 0.347 (0.259)	Data 0.296 (0.195)	Loss 3.9211 (4.0231)	Prec@1 16.016 (14.881)	Prec@5 37.891 (37.018)
Epoch: [32][2510/7045]	Time 0.102 (0.259)	Data 0.001 (0.195)	Loss 3.7509 (4.0231)	Prec@1 22.266 (14.879)	Prec@5 42.188 (37.018)
Epoch: [32][2520/7045]	Time 0.289 (0.259)	Data 0.238 (0.195)	Loss 3.9984 (4.0229)	Prec@1 16.406 (14.884)	Prec@5 33.984 (37.024)
Epoch: [32][2530/7045]	Time 0.180 (0.259)	Data 0.129 (0.195)	Loss 3.9631 (4.0228)	Prec@1 16.406 (14.886)	Prec@5 39.062 (37.028)
Epoch: [32][2540/7045]	Time 0.110 (0.259)	Data 0.001 (0.195)	Loss 4.0096 (4.0227)	Prec@1 12.500 (14.884)	Prec@5 34.766 (37.029)
Epoch: [32][2550/7045]	Time 0.610 (0.259)	Data 0.558 (0.195)	Loss 4.0214 (4.0223)	Prec@1 17.969 (14.890)	Prec@5 40.625 (37.035)
Epoch: [32][2560/7045]	Time 0.181 (0.259)	Data 0.129 (0.195)	Loss 3.9766 (4.0223)	Prec@1 16.797 (14.891)	Prec@5 38.281 (37.034)
Epoch: [32][2570/7045]	Time 0.386 (0.259)	Data 0.326 (0.195)	Loss 3.9187 (4.0221)	Prec@1 14.453 (14.893)	Prec@5 38.672 (37.040)
Epoch: [32][2580/7045]	Time 0.512 (0.259)	Data 0.460 (0.195)	Loss 3.9507 (4.0219)	Prec@1 18.359 (14.897)	Prec@5 41.016 (37.046)
Epoch: [32][2590/7045]	Time 0.493 (0.259)	Data 0.442 (0.195)	Loss 4.0220 (4.0219)	Prec@1 16.797 (14.900)	Prec@5 37.891 (37.050)
Epoch: [32][2600/7045]	Time 0.186 (0.259)	Data 0.135 (0.195)	Loss 4.0109 (4.0218)	Prec@1 12.891 (14.896)	Prec@5 41.797 (37.052)
Epoch: [32][2610/7045]	Time 0.382 (0.259)	Data 0.331 (0.195)	Loss 4.0629 (4.0216)	Prec@1 14.844 (14.903)	Prec@5 32.812 (37.052)
Epoch: [32][2620/7045]	Time 0.323 (0.259)	Data 0.273 (0.195)	Loss 4.0291 (4.0215)	Prec@1 13.281 (14.907)	Prec@5 37.500 (37.053)
Epoch: [32][2630/7045]	Time 0.101 (0.259)	Data 0.007 (0.195)	Loss 3.9521 (4.0216)	Prec@1 14.453 (14.904)	Prec@5 39.844 (37.054)
Epoch: [32][2640/7045]	Time 0.110 (0.259)	Data 0.001 (0.195)	Loss 3.9842 (4.0215)	Prec@1 14.453 (14.902)	Prec@5 37.891 (37.056)
Epoch: [32][2650/7045]	Time 0.113 (0.259)	Data 0.062 (0.194)	Loss 3.9803 (4.0215)	Prec@1 14.453 (14.905)	Prec@5 38.672 (37.061)
Epoch: [32][2660/7045]	Time 0.108 (0.259)	Data 0.057 (0.194)	Loss 3.8782 (4.0214)	Prec@1 12.109 (14.906)	Prec@5 41.406 (37.064)
Epoch: [32][2670/7045]	Time 0.144 (0.259)	Data 0.090 (0.194)	Loss 4.0708 (4.0212)	Prec@1 13.281 (14.904)	Prec@5 34.766 (37.069)
Epoch: [32][2680/7045]	Time 0.112 (0.259)	Data 0.001 (0.194)	Loss 3.8708 (4.0212)	Prec@1 17.578 (14.905)	Prec@5 40.625 (37.071)
Epoch: [32][2690/7045]	Time 0.195 (0.259)	Data 0.144 (0.194)	Loss 3.9064 (4.0209)	Prec@1 18.359 (14.908)	Prec@5 42.969 (37.081)
Epoch: [32][2700/7045]	Time 0.101 (0.259)	Data 0.046 (0.194)	Loss 3.8539 (4.0205)	Prec@1 18.359 (14.914)	Prec@5 41.406 (37.089)
Epoch: [32][2710/7045]	Time 0.120 (0.259)	Data 0.058 (0.194)	Loss 4.0713 (4.0206)	Prec@1 16.406 (14.911)	Prec@5 39.062 (37.087)
Epoch: [32][2720/7045]	Time 0.101 (0.259)	Data 0.001 (0.194)	Loss 4.0887 (4.0205)	Prec@1 13.281 (14.913)	Prec@5 37.500 (37.087)
Epoch: [32][2730/7045]	Time 0.109 (0.259)	Data 0.001 (0.194)	Loss 3.9357 (4.0204)	Prec@1 13.672 (14.913)	Prec@5 37.500 (37.087)
Epoch: [32][2740/7045]	Time 0.101 (0.258)	Data 0.001 (0.194)	Loss 4.0110 (4.0204)	Prec@1 12.891 (14.914)	Prec@5 34.766 (37.089)
Epoch: [32][2750/7045]	Time 0.132 (0.259)	Data 0.081 (0.194)	Loss 3.9907 (4.0204)	Prec@1 11.328 (14.913)	Prec@5 35.938 (37.088)
Epoch: [32][2760/7045]	Time 0.160 (0.258)	Data 0.110 (0.194)	Loss 4.0782 (4.0203)	Prec@1 12.891 (14.912)	Prec@5 32.422 (37.090)
Epoch: [32][2770/7045]	Time 0.826 (0.259)	Data 0.776 (0.194)	Loss 3.8177 (4.0201)	Prec@1 16.406 (14.915)	Prec@5 42.188 (37.092)
Epoch: [32][2780/7045]	Time 0.116 (0.258)	Data 0.065 (0.194)	Loss 3.8853 (4.0202)	Prec@1 17.969 (14.918)	Prec@5 37.891 (37.089)
Epoch: [32][2790/7045]	Time 0.739 (0.259)	Data 0.688 (0.194)	Loss 3.9207 (4.0197)	Prec@1 15.625 (14.927)	Prec@5 43.359 (37.099)
Epoch: [32][2800/7045]	Time 0.260 (0.258)	Data 0.208 (0.194)	Loss 3.9502 (4.0196)	Prec@1 17.578 (14.930)	Prec@5 44.141 (37.102)
Epoch: [32][2810/7045]	Time 0.520 (0.258)	Data 0.468 (0.194)	Loss 4.0672 (4.0194)	Prec@1 16.016 (14.932)	Prec@5 37.500 (37.110)
Epoch: [32][2820/7045]	Time 0.106 (0.258)	Data 0.054 (0.194)	Loss 4.1474 (4.0194)	Prec@1 16.797 (14.936)	Prec@5 39.453 (37.110)
Epoch: [32][2830/7045]	Time 0.371 (0.258)	Data 0.320 (0.194)	Loss 4.0934 (4.0193)	Prec@1 13.281 (14.936)	Prec@5 35.547 (37.112)
Epoch: [32][2840/7045]	Time 0.221 (0.258)	Data 0.162 (0.194)	Loss 3.9479 (4.0193)	Prec@1 16.016 (14.939)	Prec@5 37.109 (37.115)
Epoch: [32][2850/7045]	Time 0.302 (0.258)	Data 0.250 (0.194)	Loss 3.9585 (4.0191)	Prec@1 14.844 (14.942)	Prec@5 35.547 (37.120)
Epoch: [32][2860/7045]	Time 0.425 (0.258)	Data 0.366 (0.194)	Loss 3.8733 (4.0191)	Prec@1 16.797 (14.944)	Prec@5 40.625 (37.124)
Epoch: [32][2870/7045]	Time 0.102 (0.258)	Data 0.001 (0.194)	Loss 3.8059 (4.0189)	Prec@1 19.531 (14.945)	Prec@5 37.500 (37.127)
Epoch: [32][2880/7045]	Time 0.341 (0.258)	Data 0.290 (0.194)	Loss 4.0756 (4.0186)	Prec@1 9.375 (14.946)	Prec@5 33.203 (37.134)
Epoch: [32][2890/7045]	Time 0.371 (0.258)	Data 0.320 (0.194)	Loss 4.1848 (4.0185)	Prec@1 14.844 (14.949)	Prec@5 34.375 (37.138)
Epoch: [32][2900/7045]	Time 0.188 (0.258)	Data 0.136 (0.194)	Loss 3.8561 (4.0184)	Prec@1 17.188 (14.954)	Prec@5 36.719 (37.139)
Epoch: [32][2910/7045]	Time 0.183 (0.258)	Data 0.131 (0.193)	Loss 3.8999 (4.0181)	Prec@1 18.359 (14.955)	Prec@5 35.938 (37.145)
Epoch: [32][2920/7045]	Time 0.106 (0.258)	Data 0.054 (0.193)	Loss 3.9222 (4.0179)	Prec@1 19.922 (14.958)	Prec@5 40.625 (37.146)
Epoch: [32][2930/7045]	Time 0.102 (0.258)	Data 0.001 (0.193)	Loss 3.8886 (4.0180)	Prec@1 14.844 (14.953)	Prec@5 41.016 (37.147)
Epoch: [32][2940/7045]	Time 0.137 (0.258)	Data 0.086 (0.193)	Loss 3.8449 (4.0178)	Prec@1 14.062 (14.954)	Prec@5 41.016 (37.151)
Epoch: [32][2950/7045]	Time 0.101 (0.258)	Data 0.001 (0.193)	Loss 4.0896 (4.0178)	Prec@1 12.891 (14.955)	Prec@5 36.328 (37.152)
Epoch: [32][2960/7045]	Time 0.233 (0.258)	Data 0.184 (0.193)	Loss 3.9272 (4.0177)	Prec@1 14.453 (14.956)	Prec@5 38.672 (37.155)
Epoch: [32][2970/7045]	Time 0.102 (0.258)	Data 0.001 (0.193)	Loss 4.0207 (4.0176)	Prec@1 13.281 (14.956)	Prec@5 36.719 (37.154)
Epoch: [32][2980/7045]	Time 0.456 (0.258)	Data 0.405 (0.193)	Loss 3.9134 (4.0174)	Prec@1 17.188 (14.955)	Prec@5 41.797 (37.158)
Epoch: [32][2990/7045]	Time 0.115 (0.258)	Data 0.001 (0.193)	Loss 3.9767 (4.0171)	Prec@1 13.281 (14.959)	Prec@5 41.406 (37.168)
Epoch: [32][3000/7045]	Time 0.776 (0.258)	Data 0.725 (0.193)	Loss 3.9803 (4.0171)	Prec@1 15.234 (14.958)	Prec@5 39.453 (37.172)
Epoch: [32][3010/7045]	Time 0.355 (0.258)	Data 0.303 (0.193)	Loss 3.9012 (4.0169)	Prec@1 15.625 (14.958)	Prec@5 37.891 (37.175)
Epoch: [32][3020/7045]	Time 0.457 (0.258)	Data 0.405 (0.193)	Loss 4.0576 (4.0169)	Prec@1 15.625 (14.955)	Prec@5 36.719 (37.174)
Epoch: [32][3030/7045]	Time 0.116 (0.258)	Data 0.057 (0.193)	Loss 3.9294 (4.0169)	Prec@1 12.891 (14.952)	Prec@5 39.062 (37.175)
Epoch: [32][3040/7045]	Time 0.176 (0.258)	Data 0.124 (0.193)	Loss 3.9875 (4.0171)	Prec@1 13.281 (14.949)	Prec@5 37.109 (37.171)
Epoch: [32][3050/7045]	Time 0.244 (0.258)	Data 0.192 (0.193)	Loss 4.0187 (4.0170)	Prec@1 14.062 (14.950)	Prec@5 40.625 (37.175)
Epoch: [32][3060/7045]	Time 0.101 (0.258)	Data 0.001 (0.193)	Loss 3.8700 (4.0169)	Prec@1 17.969 (14.952)	Prec@5 40.234 (37.176)
Epoch: [32][3070/7045]	Time 0.234 (0.258)	Data 0.182 (0.193)	Loss 4.2369 (4.0169)	Prec@1 12.500 (14.950)	Prec@5 32.422 (37.172)
Epoch: [32][3080/7045]	Time 0.101 (0.258)	Data 0.001 (0.193)	Loss 3.7975 (4.0167)	Prec@1 15.625 (14.951)	Prec@5 43.359 (37.173)
Epoch: [32][3090/7045]	Time 0.365 (0.258)	Data 0.314 (0.193)	Loss 3.9832 (4.0166)	Prec@1 16.406 (14.953)	Prec@5 37.500 (37.177)
Epoch: [32][3100/7045]	Time 0.103 (0.258)	Data 0.001 (0.193)	Loss 4.2277 (4.0164)	Prec@1 12.500 (14.954)	Prec@5 34.766 (37.178)
Epoch: [32][3110/7045]	Time 0.444 (0.258)	Data 0.392 (0.193)	Loss 3.9787 (4.0162)	Prec@1 14.453 (14.959)	Prec@5 39.453 (37.184)
Epoch: [32][3120/7045]	Time 0.101 (0.258)	Data 0.017 (0.193)	Loss 4.0837 (4.0159)	Prec@1 10.938 (14.960)	Prec@5 37.891 (37.188)
Epoch: [32][3130/7045]	Time 0.568 (0.258)	Data 0.516 (0.193)	Loss 4.0079 (4.0159)	Prec@1 14.844 (14.964)	Prec@5 38.672 (37.192)
Epoch: [32][3140/7045]	Time 0.146 (0.258)	Data 0.094 (0.193)	Loss 3.9474 (4.0159)	Prec@1 17.188 (14.962)	Prec@5 35.156 (37.189)
Epoch: [32][3150/7045]	Time 0.546 (0.258)	Data 0.495 (0.193)	Loss 4.0179 (4.0159)	Prec@1 14.062 (14.962)	Prec@5 37.109 (37.189)
Epoch: [32][3160/7045]	Time 0.227 (0.258)	Data 0.176 (0.193)	Loss 3.8737 (4.0158)	Prec@1 17.188 (14.963)	Prec@5 39.844 (37.194)
Epoch: [32][3170/7045]	Time 0.421 (0.258)	Data 0.367 (0.193)	Loss 3.8657 (4.0157)	Prec@1 17.188 (14.963)	Prec@5 40.625 (37.196)
Epoch: [32][3180/7045]	Time 0.198 (0.258)	Data 0.146 (0.193)	Loss 3.9861 (4.0154)	Prec@1 14.844 (14.964)	Prec@5 39.453 (37.200)
Epoch: [32][3190/7045]	Time 0.347 (0.258)	Data 0.295 (0.193)	Loss 4.1246 (4.0154)	Prec@1 14.062 (14.965)	Prec@5 35.156 (37.201)
Epoch: [32][3200/7045]	Time 0.102 (0.258)	Data 0.041 (0.193)	Loss 4.0477 (4.0154)	Prec@1 14.453 (14.967)	Prec@5 36.328 (37.205)
Epoch: [32][3210/7045]	Time 0.151 (0.258)	Data 0.099 (0.193)	Loss 4.0633 (4.0152)	Prec@1 15.625 (14.970)	Prec@5 41.016 (37.211)
Epoch: [32][3220/7045]	Time 0.113 (0.258)	Data 0.054 (0.193)	Loss 3.9279 (4.0151)	Prec@1 14.844 (14.969)	Prec@5 39.453 (37.213)
Epoch: [32][3230/7045]	Time 0.159 (0.257)	Data 0.107 (0.193)	Loss 3.9133 (4.0149)	Prec@1 17.578 (14.976)	Prec@5 41.797 (37.218)
Epoch: [32][3240/7045]	Time 0.108 (0.258)	Data 0.020 (0.193)	Loss 3.9459 (4.0151)	Prec@1 16.797 (14.976)	Prec@5 38.281 (37.215)
Epoch: [32][3250/7045]	Time 0.301 (0.258)	Data 0.249 (0.193)	Loss 3.9931 (4.0148)	Prec@1 13.672 (14.980)	Prec@5 36.719 (37.224)
Epoch: [32][3260/7045]	Time 0.102 (0.257)	Data 0.015 (0.193)	Loss 4.0096 (4.0145)	Prec@1 13.281 (14.987)	Prec@5 33.984 (37.229)
Epoch: [32][3270/7045]	Time 0.437 (0.258)	Data 0.387 (0.193)	Loss 3.8944 (4.0140)	Prec@1 19.922 (14.994)	Prec@5 38.672 (37.240)
Epoch: [32][3280/7045]	Time 0.109 (0.257)	Data 0.052 (0.193)	Loss 3.9310 (4.0139)	Prec@1 15.625 (14.997)	Prec@5 38.672 (37.239)
Epoch: [32][3290/7045]	Time 0.265 (0.257)	Data 0.215 (0.193)	Loss 3.9544 (4.0139)	Prec@1 13.672 (14.995)	Prec@5 35.156 (37.239)
Epoch: [32][3300/7045]	Time 0.231 (0.257)	Data 0.178 (0.193)	Loss 4.0300 (4.0137)	Prec@1 15.625 (14.995)	Prec@5 37.891 (37.244)
Epoch: [32][3310/7045]	Time 0.221 (0.257)	Data 0.171 (0.193)	Loss 4.0418 (4.0135)	Prec@1 11.328 (14.995)	Prec@5 37.109 (37.248)
Epoch: [32][3320/7045]	Time 0.378 (0.257)	Data 0.325 (0.193)	Loss 4.0043 (4.0136)	Prec@1 12.109 (14.996)	Prec@5 38.672 (37.246)
Epoch: [32][3330/7045]	Time 0.105 (0.257)	Data 0.052 (0.193)	Loss 3.9449 (4.0137)	Prec@1 17.188 (14.995)	Prec@5 37.500 (37.242)
Epoch: [32][3340/7045]	Time 0.452 (0.257)	Data 0.401 (0.193)	Loss 3.7306 (4.0135)	Prec@1 16.016 (14.995)	Prec@5 43.359 (37.250)
Epoch: [32][3350/7045]	Time 0.101 (0.257)	Data 0.005 (0.193)	Loss 3.9063 (4.0133)	Prec@1 17.578 (14.999)	Prec@5 41.406 (37.255)
Epoch: [32][3360/7045]	Time 0.587 (0.257)	Data 0.536 (0.193)	Loss 3.9293 (4.0131)	Prec@1 17.578 (15.001)	Prec@5 39.844 (37.258)
Epoch: [32][3370/7045]	Time 0.101 (0.257)	Data 0.002 (0.193)	Loss 4.0167 (4.0130)	Prec@1 12.109 (15.003)	Prec@5 34.766 (37.262)
Epoch: [32][3380/7045]	Time 0.150 (0.257)	Data 0.100 (0.193)	Loss 4.0010 (4.0129)	Prec@1 14.844 (15.007)	Prec@5 39.453 (37.265)
Epoch: [32][3390/7045]	Time 0.195 (0.257)	Data 0.143 (0.193)	Loss 3.9610 (4.0127)	Prec@1 13.672 (15.006)	Prec@5 37.891 (37.269)
Epoch: [32][3400/7045]	Time 0.105 (0.257)	Data 0.055 (0.193)	Loss 4.0704 (4.0126)	Prec@1 11.719 (15.006)	Prec@5 35.547 (37.271)
Epoch: [32][3410/7045]	Time 0.109 (0.257)	Data 0.017 (0.193)	Loss 3.9694 (4.0126)	Prec@1 11.328 (15.006)	Prec@5 37.109 (37.271)
Epoch: [32][3420/7045]	Time 0.101 (0.257)	Data 0.001 (0.193)	Loss 4.1130 (4.0123)	Prec@1 14.062 (15.007)	Prec@5 38.672 (37.279)
Epoch: [32][3430/7045]	Time 0.108 (0.257)	Data 0.056 (0.193)	Loss 3.9969 (4.0123)	Prec@1 15.625 (15.006)	Prec@5 36.719 (37.280)
Epoch: [32][3440/7045]	Time 0.101 (0.257)	Data 0.001 (0.192)	Loss 3.8827 (4.0120)	Prec@1 17.969 (15.009)	Prec@5 41.406 (37.288)
Epoch: [32][3450/7045]	Time 0.101 (0.257)	Data 0.008 (0.192)	Loss 3.8453 (4.0117)	Prec@1 17.188 (15.015)	Prec@5 42.188 (37.291)
Epoch: [32][3460/7045]	Time 0.106 (0.257)	Data 0.055 (0.192)	Loss 3.9381 (4.0115)	Prec@1 14.062 (15.018)	Prec@5 40.625 (37.299)
Epoch: [32][3470/7045]	Time 0.102 (0.257)	Data 0.007 (0.192)	Loss 3.9452 (4.0114)	Prec@1 16.797 (15.022)	Prec@5 41.797 (37.302)
Epoch: [32][3480/7045]	Time 0.102 (0.257)	Data 0.001 (0.192)	Loss 4.1478 (4.0114)	Prec@1 12.891 (15.020)	Prec@5 33.594 (37.301)
Epoch: [32][3490/7045]	Time 0.111 (0.257)	Data 0.012 (0.192)	Loss 3.9272 (4.0112)	Prec@1 14.453 (15.024)	Prec@5 38.281 (37.306)
Epoch: [32][3500/7045]	Time 0.102 (0.257)	Data 0.001 (0.192)	Loss 3.9709 (4.0111)	Prec@1 13.281 (15.024)	Prec@5 37.891 (37.307)
Epoch: [32][3510/7045]	Time 0.143 (0.257)	Data 0.091 (0.192)	Loss 4.0434 (4.0110)	Prec@1 17.969 (15.028)	Prec@5 38.672 (37.309)
Epoch: [32][3520/7045]	Time 0.101 (0.257)	Data 0.001 (0.192)	Loss 4.1816 (4.0109)	Prec@1 15.234 (15.027)	Prec@5 33.984 (37.310)
Epoch: [32][3530/7045]	Time 0.107 (0.257)	Data 0.055 (0.192)	Loss 3.9798 (4.0109)	Prec@1 18.750 (15.027)	Prec@5 39.844 (37.312)
Epoch: [32][3540/7045]	Time 0.324 (0.257)	Data 0.272 (0.192)	Loss 4.0191 (4.0108)	Prec@1 14.844 (15.029)	Prec@5 38.672 (37.318)
Epoch: [32][3550/7045]	Time 0.102 (0.257)	Data 0.003 (0.192)	Loss 4.1186 (4.0107)	Prec@1 14.453 (15.029)	Prec@5 36.328 (37.322)
Epoch: [32][3560/7045]	Time 0.517 (0.257)	Data 0.466 (0.192)	Loss 3.7478 (4.0106)	Prec@1 18.750 (15.029)	Prec@5 45.703 (37.324)
Epoch: [32][3570/7045]	Time 0.179 (0.257)	Data 0.129 (0.192)	Loss 3.9320 (4.0104)	Prec@1 15.625 (15.031)	Prec@5 39.453 (37.332)
Epoch: [32][3580/7045]	Time 0.510 (0.257)	Data 0.459 (0.192)	Loss 4.0891 (4.0103)	Prec@1 17.188 (15.034)	Prec@5 37.891 (37.331)
Epoch: [32][3590/7045]	Time 0.101 (0.257)	Data 0.003 (0.192)	Loss 3.7474 (4.0101)	Prec@1 16.406 (15.036)	Prec@5 42.969 (37.335)
Epoch: [32][3600/7045]	Time 0.269 (0.257)	Data 0.218 (0.192)	Loss 3.8935 (4.0098)	Prec@1 17.578 (15.039)	Prec@5 40.625 (37.342)
Epoch: [32][3610/7045]	Time 0.151 (0.257)	Data 0.100 (0.192)	Loss 4.0985 (4.0097)	Prec@1 12.891 (15.041)	Prec@5 33.203 (37.343)
Epoch: [32][3620/7045]	Time 0.481 (0.257)	Data 0.430 (0.192)	Loss 3.7506 (4.0095)	Prec@1 19.922 (15.045)	Prec@5 42.188 (37.349)
Epoch: [32][3630/7045]	Time 0.102 (0.257)	Data 0.001 (0.192)	Loss 3.9035 (4.0092)	Prec@1 17.188 (15.049)	Prec@5 34.375 (37.354)
Epoch: [32][3640/7045]	Time 0.115 (0.257)	Data 0.060 (0.192)	Loss 3.9980 (4.0091)	Prec@1 16.797 (15.050)	Prec@5 39.844 (37.356)
Epoch: [32][3650/7045]	Time 0.101 (0.257)	Data 0.001 (0.192)	Loss 3.8243 (4.0089)	Prec@1 17.188 (15.051)	Prec@5 38.281 (37.360)
Epoch: [32][3660/7045]	Time 0.347 (0.257)	Data 0.295 (0.192)	Loss 3.9913 (4.0088)	Prec@1 16.797 (15.049)	Prec@5 37.109 (37.359)
Epoch: [32][3670/7045]	Time 0.214 (0.257)	Data 0.162 (0.192)	Loss 4.0254 (4.0087)	Prec@1 14.062 (15.048)	Prec@5 38.672 (37.361)
Epoch: [32][3680/7045]	Time 0.100 (0.257)	Data 0.008 (0.192)	Loss 3.8437 (4.0085)	Prec@1 17.969 (15.049)	Prec@5 38.672 (37.364)
Epoch: [32][3690/7045]	Time 0.473 (0.257)	Data 0.421 (0.192)	Loss 3.8209 (4.0083)	Prec@1 18.750 (15.054)	Prec@5 41.406 (37.371)
Epoch: [32][3700/7045]	Time 0.215 (0.257)	Data 0.164 (0.192)	Loss 3.9109 (4.0082)	Prec@1 16.016 (15.056)	Prec@5 41.406 (37.374)
Epoch: [32][3710/7045]	Time 0.439 (0.257)	Data 0.387 (0.192)	Loss 4.0242 (4.0080)	Prec@1 13.281 (15.057)	Prec@5 39.062 (37.378)
Epoch: [32][3720/7045]	Time 0.102 (0.257)	Data 0.021 (0.192)	Loss 3.9113 (4.0079)	Prec@1 18.750 (15.060)	Prec@5 41.797 (37.381)
Epoch: [32][3730/7045]	Time 0.411 (0.257)	Data 0.360 (0.192)	Loss 4.0727 (4.0078)	Prec@1 13.672 (15.062)	Prec@5 35.938 (37.380)
Epoch: [32][3740/7045]	Time 0.185 (0.257)	Data 0.134 (0.192)	Loss 3.9707 (4.0077)	Prec@1 17.578 (15.062)	Prec@5 35.156 (37.379)
Epoch: [32][3750/7045]	Time 0.543 (0.257)	Data 0.492 (0.192)	Loss 3.8989 (4.0075)	Prec@1 14.062 (15.065)	Prec@5 39.844 (37.383)
Epoch: [32][3760/7045]	Time 0.101 (0.257)	Data 0.001 (0.192)	Loss 4.0219 (4.0075)	Prec@1 15.234 (15.065)	Prec@5 33.203 (37.381)
Epoch: [32][3770/7045]	Time 0.659 (0.257)	Data 0.604 (0.192)	Loss 4.0446 (4.0074)	Prec@1 14.062 (15.065)	Prec@5 37.500 (37.382)
Epoch: [32][3780/7045]	Time 0.129 (0.257)	Data 0.078 (0.192)	Loss 3.9451 (4.0074)	Prec@1 14.062 (15.067)	Prec@5 37.500 (37.382)
Epoch: [32][3790/7045]	Time 0.312 (0.257)	Data 0.262 (0.192)	Loss 3.7795 (4.0074)	Prec@1 22.266 (15.067)	Prec@5 40.234 (37.381)
Epoch: [32][3800/7045]	Time 0.111 (0.257)	Data 0.059 (0.192)	Loss 3.9539 (4.0071)	Prec@1 16.016 (15.073)	Prec@5 40.625 (37.387)
Epoch: [32][3810/7045]	Time 0.111 (0.257)	Data 0.060 (0.192)	Loss 3.8362 (4.0070)	Prec@1 16.016 (15.073)	Prec@5 41.797 (37.388)
Epoch: [32][3820/7045]	Time 0.100 (0.257)	Data 0.048 (0.192)	Loss 3.9157 (4.0069)	Prec@1 19.531 (15.075)	Prec@5 38.672 (37.392)
Epoch: [32][3830/7045]	Time 0.102 (0.257)	Data 0.015 (0.192)	Loss 3.8240 (4.0069)	Prec@1 14.453 (15.075)	Prec@5 41.016 (37.392)
Epoch: [32][3840/7045]	Time 0.438 (0.257)	Data 0.387 (0.192)	Loss 4.1685 (4.0068)	Prec@1 14.062 (15.074)	Prec@5 34.375 (37.392)
Epoch: [32][3850/7045]	Time 0.114 (0.257)	Data 0.063 (0.192)	Loss 4.2789 (4.0068)	Prec@1 12.109 (15.074)	Prec@5 34.375 (37.393)
Epoch: [32][3860/7045]	Time 0.126 (0.257)	Data 0.075 (0.192)	Loss 3.9307 (4.0067)	Prec@1 15.625 (15.077)	Prec@5 39.062 (37.396)
Epoch: [32][3870/7045]	Time 0.107 (0.257)	Data 0.055 (0.192)	Loss 4.2625 (4.0068)	Prec@1 9.375 (15.075)	Prec@5 29.297 (37.393)
Epoch: [32][3880/7045]	Time 0.109 (0.257)	Data 0.014 (0.192)	Loss 4.0855 (4.0068)	Prec@1 16.016 (15.075)	Prec@5 34.375 (37.391)
Epoch: [32][3890/7045]	Time 0.103 (0.257)	Data 0.050 (0.192)	Loss 4.0788 (4.0067)	Prec@1 11.719 (15.074)	Prec@5 33.984 (37.390)
Epoch: [32][3900/7045]	Time 0.120 (0.257)	Data 0.068 (0.192)	Loss 4.0219 (4.0066)	Prec@1 12.891 (15.074)	Prec@5 37.500 (37.393)
Epoch: [32][3910/7045]	Time 0.133 (0.257)	Data 0.082 (0.192)	Loss 3.9591 (4.0065)	Prec@1 16.406 (15.076)	Prec@5 41.406 (37.399)
Epoch: [32][3920/7045]	Time 0.106 (0.257)	Data 0.006 (0.192)	Loss 3.9931 (4.0065)	Prec@1 13.672 (15.078)	Prec@5 38.281 (37.399)
Epoch: [32][3930/7045]	Time 0.232 (0.257)	Data 0.181 (0.192)	Loss 3.9609 (4.0062)	Prec@1 15.625 (15.083)	Prec@5 40.625 (37.405)
Epoch: [32][3940/7045]	Time 0.189 (0.257)	Data 0.138 (0.192)	Loss 4.0137 (4.0060)	Prec@1 11.719 (15.082)	Prec@5 36.328 (37.406)
Epoch: [32][3950/7045]	Time 0.676 (0.257)	Data 0.626 (0.192)	Loss 4.0879 (4.0061)	Prec@1 16.406 (15.083)	Prec@5 35.547 (37.406)
Epoch: [32][3960/7045]	Time 0.107 (0.257)	Data 0.011 (0.192)	Loss 4.1357 (4.0060)	Prec@1 12.891 (15.085)	Prec@5 33.203 (37.407)
Epoch: [32][3970/7045]	Time 0.588 (0.257)	Data 0.537 (0.192)	Loss 3.9942 (4.0057)	Prec@1 17.578 (15.088)	Prec@5 37.891 (37.410)
Epoch: [32][3980/7045]	Time 0.107 (0.257)	Data 0.055 (0.192)	Loss 4.0218 (4.0058)	Prec@1 14.062 (15.087)	Prec@5 35.938 (37.409)
Epoch: [32][3990/7045]	Time 0.557 (0.257)	Data 0.500 (0.192)	Loss 3.9316 (4.0059)	Prec@1 15.625 (15.086)	Prec@5 39.453 (37.406)
Epoch: [32][4000/7045]	Time 0.098 (0.257)	Data 0.001 (0.192)	Loss 4.0126 (4.0057)	Prec@1 16.797 (15.089)	Prec@5 38.672 (37.408)
Epoch: [32][4010/7045]	Time 0.630 (0.257)	Data 0.579 (0.192)	Loss 3.8038 (4.0054)	Prec@1 12.500 (15.090)	Prec@5 45.703 (37.420)
Epoch: [32][4020/7045]	Time 0.108 (0.257)	Data 0.001 (0.192)	Loss 4.0184 (4.0051)	Prec@1 14.844 (15.089)	Prec@5 39.844 (37.423)
Epoch: [32][4030/7045]	Time 0.651 (0.257)	Data 0.599 (0.192)	Loss 3.8926 (4.0051)	Prec@1 15.625 (15.092)	Prec@5 38.281 (37.424)
Epoch: [32][4040/7045]	Time 0.101 (0.257)	Data 0.001 (0.192)	Loss 3.9699 (4.0048)	Prec@1 16.016 (15.093)	Prec@5 39.453 (37.429)
Epoch: [32][4050/7045]	Time 0.711 (0.257)	Data 0.660 (0.192)	Loss 3.8322 (4.0046)	Prec@1 21.875 (15.097)	Prec@5 43.359 (37.435)
Epoch: [32][4060/7045]	Time 0.254 (0.257)	Data 0.203 (0.192)	Loss 4.0254 (4.0045)	Prec@1 14.844 (15.098)	Prec@5 33.203 (37.438)
Epoch: [32][4070/7045]	Time 0.536 (0.257)	Data 0.484 (0.192)	Loss 4.0633 (4.0043)	Prec@1 17.188 (15.103)	Prec@5 35.156 (37.442)
Epoch: [32][4080/7045]	Time 0.222 (0.257)	Data 0.172 (0.192)	Loss 3.8483 (4.0043)	Prec@1 20.703 (15.102)	Prec@5 37.891 (37.440)
Epoch: [32][4090/7045]	Time 0.121 (0.257)	Data 0.068 (0.192)	Loss 3.7925 (4.0041)	Prec@1 16.016 (15.104)	Prec@5 42.969 (37.447)
Epoch: [32][4100/7045]	Time 0.459 (0.257)	Data 0.407 (0.192)	Loss 4.2431 (4.0040)	Prec@1 11.328 (15.103)	Prec@5 30.469 (37.449)
Epoch: [32][4110/7045]	Time 0.101 (0.257)	Data 0.001 (0.192)	Loss 3.8726 (4.0038)	Prec@1 17.188 (15.105)	Prec@5 41.797 (37.454)
Epoch: [32][4120/7045]	Time 0.193 (0.257)	Data 0.143 (0.192)	Loss 3.9912 (4.0037)	Prec@1 17.188 (15.107)	Prec@5 41.016 (37.458)
Epoch: [32][4130/7045]	Time 0.540 (0.257)	Data 0.482 (0.192)	Loss 3.7697 (4.0034)	Prec@1 19.922 (15.112)	Prec@5 45.312 (37.466)
Epoch: [32][4140/7045]	Time 0.236 (0.257)	Data 0.185 (0.192)	Loss 3.8192 (4.0031)	Prec@1 17.188 (15.115)	Prec@5 40.625 (37.471)
Epoch: [32][4150/7045]	Time 0.261 (0.257)	Data 0.209 (0.192)	Loss 4.0552 (4.0031)	Prec@1 14.062 (15.116)	Prec@5 35.938 (37.474)
Epoch: [32][4160/7045]	Time 0.130 (0.257)	Data 0.080 (0.192)	Loss 3.9442 (4.0030)	Prec@1 13.672 (15.117)	Prec@5 35.938 (37.477)
Epoch: [32][4170/7045]	Time 0.226 (0.257)	Data 0.175 (0.192)	Loss 4.0271 (4.0029)	Prec@1 13.672 (15.119)	Prec@5 37.891 (37.481)
Epoch: [32][4180/7045]	Time 0.161 (0.257)	Data 0.107 (0.192)	Loss 3.9424 (4.0029)	Prec@1 14.453 (15.121)	Prec@5 34.375 (37.481)
Epoch: [32][4190/7045]	Time 0.130 (0.257)	Data 0.078 (0.192)	Loss 3.8083 (4.0027)	Prec@1 18.750 (15.122)	Prec@5 42.969 (37.484)
Epoch: [32][4200/7045]	Time 0.195 (0.257)	Data 0.144 (0.192)	Loss 3.8967 (4.0027)	Prec@1 19.531 (15.125)	Prec@5 40.625 (37.486)
Epoch: [32][4210/7045]	Time 0.235 (0.257)	Data 0.184 (0.192)	Loss 3.9743 (4.0027)	Prec@1 17.578 (15.127)	Prec@5 35.547 (37.485)
Epoch: [32][4220/7045]	Time 0.201 (0.257)	Data 0.150 (0.192)	Loss 3.9577 (4.0026)	Prec@1 18.750 (15.131)	Prec@5 38.672 (37.488)
Epoch: [32][4230/7045]	Time 0.178 (0.257)	Data 0.127 (0.192)	Loss 3.9396 (4.0025)	Prec@1 20.312 (15.133)	Prec@5 38.281 (37.491)
Epoch: [32][4240/7045]	Time 0.103 (0.257)	Data 0.010 (0.192)	Loss 3.7795 (4.0024)	Prec@1 16.797 (15.133)	Prec@5 41.016 (37.495)
Epoch: [32][4250/7045]	Time 0.227 (0.257)	Data 0.176 (0.192)	Loss 3.9997 (4.0024)	Prec@1 14.062 (15.134)	Prec@5 37.500 (37.497)
Epoch: [32][4260/7045]	Time 0.102 (0.257)	Data 0.001 (0.192)	Loss 4.0327 (4.0022)	Prec@1 12.891 (15.136)	Prec@5 31.641 (37.500)
Epoch: [32][4270/7045]	Time 0.429 (0.257)	Data 0.378 (0.192)	Loss 3.8524 (4.0021)	Prec@1 14.062 (15.138)	Prec@5 41.797 (37.503)
Epoch: [32][4280/7045]	Time 0.114 (0.257)	Data 0.063 (0.192)	Loss 4.0349 (4.0021)	Prec@1 14.062 (15.138)	Prec@5 37.500 (37.503)
Epoch: [32][4290/7045]	Time 0.513 (0.257)	Data 0.462 (0.192)	Loss 3.8928 (4.0019)	Prec@1 16.797 (15.138)	Prec@5 35.938 (37.503)
Epoch: [32][4300/7045]	Time 0.107 (0.257)	Data 0.053 (0.192)	Loss 3.8383 (4.0018)	Prec@1 17.578 (15.139)	Prec@5 39.844 (37.508)
Epoch: [32][4310/7045]	Time 0.350 (0.257)	Data 0.300 (0.192)	Loss 4.0017 (4.0017)	Prec@1 16.406 (15.142)	Prec@5 38.281 (37.510)
Epoch: [32][4320/7045]	Time 0.109 (0.257)	Data 0.011 (0.192)	Loss 3.9767 (4.0016)	Prec@1 15.625 (15.143)	Prec@5 37.891 (37.512)
Epoch: [32][4330/7045]	Time 0.131 (0.257)	Data 0.079 (0.192)	Loss 3.8933 (4.0015)	Prec@1 16.797 (15.145)	Prec@5 40.234 (37.513)
Epoch: [32][4340/7045]	Time 0.167 (0.257)	Data 0.116 (0.192)	Loss 4.0961 (4.0014)	Prec@1 15.234 (15.146)	Prec@5 32.812 (37.515)
Epoch: [32][4350/7045]	Time 0.273 (0.257)	Data 0.222 (0.192)	Loss 3.9869 (4.0013)	Prec@1 15.625 (15.149)	Prec@5 35.547 (37.518)
Epoch: [32][4360/7045]	Time 0.102 (0.257)	Data 0.001 (0.192)	Loss 3.9672 (4.0013)	Prec@1 13.281 (15.146)	Prec@5 38.672 (37.518)
Epoch: [32][4370/7045]	Time 0.199 (0.257)	Data 0.148 (0.192)	Loss 3.7930 (4.0011)	Prec@1 17.578 (15.148)	Prec@5 44.141 (37.522)
Epoch: [32][4380/7045]	Time 0.590 (0.257)	Data 0.539 (0.192)	Loss 3.9681 (4.0010)	Prec@1 16.406 (15.148)	Prec@5 40.234 (37.526)
Epoch: [32][4390/7045]	Time 0.106 (0.257)	Data 0.055 (0.192)	Loss 3.9395 (4.0009)	Prec@1 17.188 (15.151)	Prec@5 39.453 (37.527)
Epoch: [32][4400/7045]	Time 0.724 (0.257)	Data 0.672 (0.192)	Loss 3.9744 (4.0008)	Prec@1 16.406 (15.155)	Prec@5 37.891 (37.532)
Epoch: [32][4410/7045]	Time 0.110 (0.257)	Data 0.001 (0.192)	Loss 3.8255 (4.0005)	Prec@1 12.109 (15.155)	Prec@5 38.672 (37.535)
Epoch: [32][4420/7045]	Time 0.620 (0.257)	Data 0.569 (0.192)	Loss 3.8545 (4.0005)	Prec@1 15.234 (15.157)	Prec@5 40.234 (37.539)
Epoch: [32][4430/7045]	Time 0.110 (0.256)	Data 0.051 (0.192)	Loss 3.9542 (4.0002)	Prec@1 14.844 (15.159)	Prec@5 37.109 (37.544)
Epoch: [32][4440/7045]	Time 0.192 (0.256)	Data 0.141 (0.192)	Loss 3.8372 (4.0001)	Prec@1 19.922 (15.163)	Prec@5 39.844 (37.548)
Epoch: [32][4450/7045]	Time 0.107 (0.256)	Data 0.053 (0.192)	Loss 3.9505 (4.0000)	Prec@1 13.281 (15.164)	Prec@5 40.234 (37.549)
Epoch: [32][4460/7045]	Time 0.105 (0.256)	Data 0.053 (0.192)	Loss 4.2418 (4.0000)	Prec@1 10.156 (15.162)	Prec@5 31.250 (37.548)
Epoch: [32][4470/7045]	Time 0.101 (0.256)	Data 0.011 (0.192)	Loss 3.8282 (3.9999)	Prec@1 17.578 (15.163)	Prec@5 39.453 (37.548)
Epoch: [32][4480/7045]	Time 0.313 (0.256)	Data 0.263 (0.192)	Loss 3.8525 (3.9998)	Prec@1 19.922 (15.167)	Prec@5 44.531 (37.551)
Epoch: [32][4490/7045]	Time 0.258 (0.256)	Data 0.206 (0.192)	Loss 3.8485 (3.9997)	Prec@1 18.750 (15.169)	Prec@5 41.797 (37.553)
Epoch: [32][4500/7045]	Time 0.129 (0.256)	Data 0.078 (0.192)	Loss 4.0313 (3.9996)	Prec@1 15.625 (15.172)	Prec@5 37.891 (37.556)
Epoch: [32][4510/7045]	Time 0.159 (0.256)	Data 0.108 (0.192)	Loss 3.9973 (3.9995)	Prec@1 13.672 (15.171)	Prec@5 39.453 (37.559)
Epoch: [32][4520/7045]	Time 0.100 (0.256)	Data 0.017 (0.192)	Loss 3.9041 (3.9992)	Prec@1 18.359 (15.176)	Prec@5 38.672 (37.565)
Epoch: [32][4530/7045]	Time 0.343 (0.256)	Data 0.291 (0.192)	Loss 3.9632 (3.9990)	Prec@1 10.156 (15.175)	Prec@5 37.109 (37.567)
Epoch: [32][4540/7045]	Time 0.363 (0.256)	Data 0.313 (0.192)	Loss 4.0534 (3.9990)	Prec@1 16.016 (15.175)	Prec@5 41.797 (37.568)
Epoch: [32][4550/7045]	Time 0.304 (0.256)	Data 0.252 (0.192)	Loss 3.9065 (3.9990)	Prec@1 15.625 (15.178)	Prec@5 38.672 (37.569)
Epoch: [32][4560/7045]	Time 0.459 (0.256)	Data 0.407 (0.192)	Loss 4.0819 (3.9988)	Prec@1 14.062 (15.180)	Prec@5 35.547 (37.573)
Epoch: [32][4570/7045]	Time 0.205 (0.256)	Data 0.154 (0.192)	Loss 4.0448 (3.9987)	Prec@1 13.281 (15.177)	Prec@5 30.469 (37.574)
Epoch: [32][4580/7045]	Time 0.384 (0.256)	Data 0.334 (0.192)	Loss 4.0585 (3.9985)	Prec@1 19.141 (15.182)	Prec@5 36.719 (37.578)
Epoch: [32][4590/7045]	Time 0.107 (0.256)	Data 0.056 (0.192)	Loss 3.9317 (3.9984)	Prec@1 15.234 (15.183)	Prec@5 38.672 (37.581)
Epoch: [32][4600/7045]	Time 0.101 (0.256)	Data 0.001 (0.192)	Loss 3.8677 (3.9982)	Prec@1 16.797 (15.186)	Prec@5 37.500 (37.585)
Epoch: [32][4610/7045]	Time 0.316 (0.256)	Data 0.265 (0.192)	Loss 4.1235 (3.9981)	Prec@1 12.500 (15.187)	Prec@5 33.594 (37.587)
Epoch: [32][4620/7045]	Time 0.101 (0.256)	Data 0.001 (0.192)	Loss 4.2634 (3.9981)	Prec@1 13.672 (15.189)	Prec@5 30.859 (37.587)
Epoch: [32][4630/7045]	Time 0.348 (0.256)	Data 0.296 (0.192)	Loss 3.8419 (3.9980)	Prec@1 14.844 (15.191)	Prec@5 41.016 (37.589)
Epoch: [32][4640/7045]	Time 0.102 (0.256)	Data 0.014 (0.192)	Loss 3.8192 (3.9976)	Prec@1 17.969 (15.196)	Prec@5 42.578 (37.598)
Epoch: [32][4650/7045]	Time 0.188 (0.256)	Data 0.137 (0.192)	Loss 4.1721 (3.9976)	Prec@1 16.016 (15.199)	Prec@5 36.328 (37.601)
Epoch: [32][4660/7045]	Time 0.117 (0.256)	Data 0.065 (0.192)	Loss 3.8537 (3.9974)	Prec@1 16.016 (15.202)	Prec@5 42.188 (37.606)
Epoch: [32][4670/7045]	Time 0.113 (0.256)	Data 0.053 (0.192)	Loss 3.9647 (3.9974)	Prec@1 18.750 (15.202)	Prec@5 41.016 (37.607)
Epoch: [32][4680/7045]	Time 0.155 (0.256)	Data 0.103 (0.192)	Loss 3.9176 (3.9973)	Prec@1 17.188 (15.203)	Prec@5 38.672 (37.608)
Epoch: [32][4690/7045]	Time 0.187 (0.256)	Data 0.136 (0.192)	Loss 4.0319 (3.9973)	Prec@1 15.625 (15.205)	Prec@5 38.672 (37.611)
Epoch: [32][4700/7045]	Time 0.114 (0.256)	Data 0.063 (0.192)	Loss 3.9374 (3.9970)	Prec@1 19.141 (15.206)	Prec@5 42.188 (37.615)
Epoch: [32][4710/7045]	Time 0.171 (0.256)	Data 0.119 (0.192)	Loss 4.2715 (3.9969)	Prec@1 8.984 (15.207)	Prec@5 32.031 (37.618)
Epoch: [32][4720/7045]	Time 0.155 (0.256)	Data 0.104 (0.192)	Loss 3.9713 (3.9969)	Prec@1 15.234 (15.206)	Prec@5 35.938 (37.617)
Epoch: [32][4730/7045]	Time 0.332 (0.256)	Data 0.280 (0.192)	Loss 3.8795 (3.9968)	Prec@1 16.016 (15.207)	Prec@5 40.234 (37.620)
Epoch: [32][4740/7045]	Time 0.101 (0.256)	Data 0.004 (0.192)	Loss 4.0339 (3.9968)	Prec@1 16.406 (15.207)	Prec@5 35.547 (37.622)
Epoch: [32][4750/7045]	Time 0.197 (0.256)	Data 0.146 (0.192)	Loss 4.0011 (3.9967)	Prec@1 14.062 (15.207)	Prec@5 37.109 (37.622)
Epoch: [32][4760/7045]	Time 0.247 (0.256)	Data 0.196 (0.192)	Loss 3.8986 (3.9966)	Prec@1 18.359 (15.209)	Prec@5 40.625 (37.623)
Epoch: [32][4770/7045]	Time 0.099 (0.256)	Data 0.001 (0.192)	Loss 3.8268 (3.9966)	Prec@1 16.406 (15.210)	Prec@5 39.844 (37.625)
Epoch: [32][4780/7045]	Time 0.286 (0.256)	Data 0.234 (0.192)	Loss 3.7197 (3.9963)	Prec@1 21.875 (15.215)	Prec@5 45.703 (37.631)
Epoch: [32][4790/7045]	Time 0.323 (0.256)	Data 0.271 (0.192)	Loss 3.9060 (3.9961)	Prec@1 16.406 (15.216)	Prec@5 41.797 (37.634)
Epoch: [32][4800/7045]	Time 0.102 (0.256)	Data 0.010 (0.192)	Loss 3.8426 (3.9960)	Prec@1 16.797 (15.216)	Prec@5 42.578 (37.636)
Epoch: [32][4810/7045]	Time 0.301 (0.256)	Data 0.250 (0.192)	Loss 3.8401 (3.9959)	Prec@1 18.750 (15.215)	Prec@5 46.094 (37.638)
Epoch: [32][4820/7045]	Time 0.168 (0.256)	Data 0.105 (0.192)	Loss 4.0118 (3.9957)	Prec@1 17.188 (15.217)	Prec@5 38.281 (37.641)
Epoch: [32][4830/7045]	Time 0.553 (0.256)	Data 0.501 (0.192)	Loss 4.1339 (3.9957)	Prec@1 11.328 (15.216)	Prec@5 37.891 (37.641)
Epoch: [32][4840/7045]	Time 0.161 (0.256)	Data 0.110 (0.192)	Loss 4.1312 (3.9956)	Prec@1 14.062 (15.217)	Prec@5 36.719 (37.642)
Epoch: [32][4850/7045]	Time 0.520 (0.256)	Data 0.470 (0.192)	Loss 3.6859 (3.9955)	Prec@1 21.094 (15.219)	Prec@5 45.703 (37.645)
Epoch: [32][4860/7045]	Time 0.438 (0.256)	Data 0.387 (0.192)	Loss 3.9014 (3.9956)	Prec@1 19.531 (15.220)	Prec@5 38.672 (37.645)
Epoch: [32][4870/7045]	Time 0.464 (0.256)	Data 0.412 (0.192)	Loss 3.9635 (3.9955)	Prec@1 20.312 (15.221)	Prec@5 39.453 (37.649)
Epoch: [32][4880/7045]	Time 0.512 (0.256)	Data 0.461 (0.192)	Loss 3.9613 (3.9953)	Prec@1 18.750 (15.226)	Prec@5 38.281 (37.656)
Epoch: [32][4890/7045]	Time 0.360 (0.256)	Data 0.309 (0.192)	Loss 3.9600 (3.9951)	Prec@1 16.797 (15.227)	Prec@5 37.109 (37.661)
Epoch: [32][4900/7045]	Time 0.517 (0.256)	Data 0.466 (0.192)	Loss 3.8701 (3.9949)	Prec@1 14.453 (15.228)	Prec@5 41.016 (37.662)
Epoch: [32][4910/7045]	Time 0.101 (0.256)	Data 0.044 (0.192)	Loss 3.9834 (3.9948)	Prec@1 17.188 (15.231)	Prec@5 36.719 (37.666)
Epoch: [32][4920/7045]	Time 0.386 (0.256)	Data 0.335 (0.192)	Loss 3.7748 (3.9947)	Prec@1 17.578 (15.233)	Prec@5 39.062 (37.670)
Epoch: [32][4930/7045]	Time 0.553 (0.256)	Data 0.502 (0.192)	Loss 4.1645 (3.9945)	Prec@1 12.109 (15.234)	Prec@5 35.156 (37.671)
Epoch: [32][4940/7045]	Time 0.110 (0.256)	Data 0.001 (0.192)	Loss 4.0248 (3.9944)	Prec@1 16.406 (15.236)	Prec@5 37.500 (37.674)
Epoch: [32][4950/7045]	Time 0.698 (0.256)	Data 0.647 (0.192)	Loss 3.7958 (3.9943)	Prec@1 18.750 (15.237)	Prec@5 40.625 (37.677)
Epoch: [32][4960/7045]	Time 0.102 (0.256)	Data 0.001 (0.192)	Loss 3.7774 (3.9942)	Prec@1 17.578 (15.239)	Prec@5 42.188 (37.680)
Epoch: [32][4970/7045]	Time 0.524 (0.256)	Data 0.472 (0.192)	Loss 3.9238 (3.9942)	Prec@1 14.062 (15.238)	Prec@5 42.188 (37.680)
Epoch: [32][4980/7045]	Time 0.113 (0.256)	Data 0.053 (0.192)	Loss 4.1005 (3.9941)	Prec@1 16.016 (15.240)	Prec@5 35.156 (37.680)
Epoch: [32][4990/7045]	Time 0.251 (0.256)	Data 0.200 (0.192)	Loss 4.0306 (3.9940)	Prec@1 15.234 (15.242)	Prec@5 35.938 (37.681)
Epoch: [32][5000/7045]	Time 0.201 (0.256)	Data 0.151 (0.192)	Loss 3.8422 (3.9940)	Prec@1 17.578 (15.243)	Prec@5 41.406 (37.684)
Epoch: [32][5010/7045]	Time 0.101 (0.256)	Data 0.001 (0.192)	Loss 3.9305 (3.9938)	Prec@1 18.750 (15.247)	Prec@5 40.625 (37.686)
Epoch: [32][5020/7045]	Time 0.194 (0.256)	Data 0.143 (0.192)	Loss 4.0119 (3.9937)	Prec@1 15.625 (15.249)	Prec@5 39.062 (37.692)
Epoch: [32][5030/7045]	Time 0.102 (0.256)	Data 0.001 (0.192)	Loss 4.0019 (3.9937)	Prec@1 11.719 (15.250)	Prec@5 33.594 (37.694)
Epoch: [32][5040/7045]	Time 0.166 (0.256)	Data 0.115 (0.192)	Loss 3.9438 (3.9935)	Prec@1 17.188 (15.252)	Prec@5 39.453 (37.695)
Epoch: [32][5050/7045]	Time 0.308 (0.256)	Data 0.257 (0.192)	Loss 3.9113 (3.9935)	Prec@1 12.891 (15.252)	Prec@5 34.375 (37.693)
Epoch: [32][5060/7045]	Time 0.275 (0.256)	Data 0.224 (0.192)	Loss 4.0902 (3.9933)	Prec@1 11.328 (15.255)	Prec@5 40.625 (37.697)
Epoch: [32][5070/7045]	Time 0.389 (0.256)	Data 0.337 (0.192)	Loss 3.8358 (3.9931)	Prec@1 17.578 (15.258)	Prec@5 38.672 (37.699)
Epoch: [32][5080/7045]	Time 0.219 (0.256)	Data 0.168 (0.192)	Loss 3.9180 (3.9931)	Prec@1 12.891 (15.259)	Prec@5 38.672 (37.702)
Epoch: [32][5090/7045]	Time 0.128 (0.256)	Data 0.077 (0.192)	Loss 3.8661 (3.9928)	Prec@1 20.312 (15.262)	Prec@5 37.891 (37.707)
Epoch: [32][5100/7045]	Time 0.156 (0.256)	Data 0.105 (0.192)	Loss 3.9551 (3.9929)	Prec@1 15.234 (15.261)	Prec@5 40.234 (37.706)
Epoch: [32][5110/7045]	Time 0.101 (0.256)	Data 0.006 (0.192)	Loss 3.9629 (3.9928)	Prec@1 17.578 (15.260)	Prec@5 41.016 (37.706)
Epoch: [32][5120/7045]	Time 0.321 (0.256)	Data 0.270 (0.192)	Loss 3.9731 (3.9928)	Prec@1 16.406 (15.261)	Prec@5 37.500 (37.708)
Epoch: [32][5130/7045]	Time 0.103 (0.256)	Data 0.001 (0.192)	Loss 3.9242 (3.9926)	Prec@1 19.531 (15.262)	Prec@5 38.672 (37.709)
Epoch: [32][5140/7045]	Time 0.205 (0.256)	Data 0.145 (0.192)	Loss 3.8566 (3.9925)	Prec@1 19.141 (15.264)	Prec@5 38.672 (37.711)
Epoch: [32][5150/7045]	Time 0.102 (0.256)	Data 0.001 (0.192)	Loss 3.8237 (3.9924)	Prec@1 16.016 (15.266)	Prec@5 36.328 (37.712)
Epoch: [32][5160/7045]	Time 0.134 (0.256)	Data 0.082 (0.192)	Loss 3.8617 (3.9923)	Prec@1 17.969 (15.268)	Prec@5 41.797 (37.715)
Epoch: [32][5170/7045]	Time 0.139 (0.256)	Data 0.086 (0.191)	Loss 4.0840 (3.9921)	Prec@1 12.891 (15.270)	Prec@5 32.422 (37.719)
Epoch: [32][5180/7045]	Time 0.181 (0.256)	Data 0.129 (0.192)	Loss 4.0649 (3.9921)	Prec@1 18.359 (15.272)	Prec@5 36.328 (37.720)
Epoch: [32][5190/7045]	Time 0.101 (0.256)	Data 0.005 (0.191)	Loss 3.9766 (3.9919)	Prec@1 18.359 (15.276)	Prec@5 38.281 (37.725)
Epoch: [32][5200/7045]	Time 0.124 (0.256)	Data 0.072 (0.192)	Loss 3.8579 (3.9917)	Prec@1 17.188 (15.278)	Prec@5 41.406 (37.730)
Epoch: [32][5210/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 3.8643 (3.9916)	Prec@1 16.406 (15.280)	Prec@5 41.406 (37.734)
Epoch: [32][5220/7045]	Time 0.478 (0.256)	Data 0.427 (0.191)	Loss 3.9008 (3.9916)	Prec@1 17.188 (15.282)	Prec@5 41.016 (37.735)
Epoch: [32][5230/7045]	Time 0.277 (0.256)	Data 0.225 (0.191)	Loss 4.0346 (3.9915)	Prec@1 14.844 (15.285)	Prec@5 37.109 (37.738)
Epoch: [32][5240/7045]	Time 0.311 (0.256)	Data 0.259 (0.191)	Loss 3.8476 (3.9912)	Prec@1 17.188 (15.288)	Prec@5 41.406 (37.745)
Epoch: [32][5250/7045]	Time 0.129 (0.256)	Data 0.078 (0.192)	Loss 3.8335 (3.9912)	Prec@1 18.359 (15.289)	Prec@5 42.188 (37.746)
Epoch: [32][5260/7045]	Time 0.165 (0.256)	Data 0.114 (0.191)	Loss 4.1270 (3.9911)	Prec@1 13.281 (15.290)	Prec@5 33.203 (37.746)
Epoch: [32][5270/7045]	Time 0.110 (0.256)	Data 0.012 (0.192)	Loss 4.0513 (3.9910)	Prec@1 12.500 (15.290)	Prec@5 36.328 (37.749)
Epoch: [32][5280/7045]	Time 0.101 (0.256)	Data 0.001 (0.191)	Loss 3.7428 (3.9909)	Prec@1 18.359 (15.292)	Prec@5 39.062 (37.751)
Epoch: [32][5290/7045]	Time 0.108 (0.256)	Data 0.001 (0.192)	Loss 3.8736 (3.9907)	Prec@1 19.922 (15.293)	Prec@5 39.062 (37.753)
Epoch: [32][5300/7045]	Time 0.103 (0.256)	Data 0.051 (0.191)	Loss 4.1679 (3.9907)	Prec@1 13.672 (15.295)	Prec@5 33.594 (37.754)
Epoch: [32][5310/7045]	Time 0.109 (0.256)	Data 0.021 (0.191)	Loss 3.8666 (3.9906)	Prec@1 13.672 (15.293)	Prec@5 41.406 (37.756)
Epoch: [32][5320/7045]	Time 0.191 (0.256)	Data 0.140 (0.191)	Loss 3.9819 (3.9905)	Prec@1 15.625 (15.297)	Prec@5 39.844 (37.758)
Epoch: [32][5330/7045]	Time 0.193 (0.256)	Data 0.134 (0.191)	Loss 4.0422 (3.9903)	Prec@1 17.188 (15.300)	Prec@5 42.969 (37.765)
Epoch: [32][5340/7045]	Time 0.101 (0.256)	Data 0.048 (0.191)	Loss 4.1227 (3.9904)	Prec@1 15.234 (15.302)	Prec@5 39.062 (37.765)
Epoch: [32][5350/7045]	Time 0.101 (0.256)	Data 0.013 (0.191)	Loss 3.8913 (3.9904)	Prec@1 17.188 (15.305)	Prec@5 40.234 (37.767)
Epoch: [32][5360/7045]	Time 0.101 (0.256)	Data 0.003 (0.191)	Loss 3.9894 (3.9904)	Prec@1 15.234 (15.304)	Prec@5 38.672 (37.771)
Epoch: [32][5370/7045]	Time 0.110 (0.256)	Data 0.001 (0.191)	Loss 4.0166 (3.9902)	Prec@1 13.672 (15.304)	Prec@5 35.938 (37.772)
Epoch: [32][5380/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 3.7314 (3.9901)	Prec@1 18.750 (15.305)	Prec@5 42.969 (37.774)
Epoch: [32][5390/7045]	Time 0.102 (0.256)	Data 0.009 (0.191)	Loss 3.9506 (3.9900)	Prec@1 14.844 (15.306)	Prec@5 35.547 (37.775)
Epoch: [32][5400/7045]	Time 0.196 (0.256)	Data 0.144 (0.191)	Loss 3.8697 (3.9899)	Prec@1 15.625 (15.308)	Prec@5 39.453 (37.781)
Epoch: [32][5410/7045]	Time 0.108 (0.256)	Data 0.055 (0.191)	Loss 3.9522 (3.9898)	Prec@1 14.844 (15.308)	Prec@5 35.156 (37.780)
Epoch: [32][5420/7045]	Time 0.116 (0.256)	Data 0.066 (0.191)	Loss 4.1807 (3.9897)	Prec@1 11.719 (15.307)	Prec@5 33.984 (37.782)
Epoch: [32][5430/7045]	Time 0.110 (0.256)	Data 0.001 (0.191)	Loss 3.8084 (3.9896)	Prec@1 17.969 (15.309)	Prec@5 45.312 (37.785)
Epoch: [32][5440/7045]	Time 0.101 (0.256)	Data 0.001 (0.191)	Loss 3.8718 (3.9894)	Prec@1 16.797 (15.312)	Prec@5 41.797 (37.790)
Epoch: [32][5450/7045]	Time 0.120 (0.256)	Data 0.061 (0.191)	Loss 3.9584 (3.9894)	Prec@1 17.969 (15.313)	Prec@5 40.234 (37.792)
Epoch: [32][5460/7045]	Time 0.101 (0.256)	Data 0.020 (0.191)	Loss 4.0302 (3.9892)	Prec@1 17.578 (15.315)	Prec@5 39.453 (37.796)
Epoch: [32][5470/7045]	Time 0.348 (0.256)	Data 0.295 (0.191)	Loss 3.8157 (3.9891)	Prec@1 17.969 (15.317)	Prec@5 40.625 (37.799)
Epoch: [32][5480/7045]	Time 0.114 (0.256)	Data 0.062 (0.191)	Loss 3.9143 (3.9890)	Prec@1 16.016 (15.318)	Prec@5 40.234 (37.803)
Epoch: [32][5490/7045]	Time 0.110 (0.256)	Data 0.059 (0.191)	Loss 3.8500 (3.9889)	Prec@1 19.531 (15.321)	Prec@5 42.969 (37.805)
Epoch: [32][5500/7045]	Time 0.101 (0.256)	Data 0.049 (0.191)	Loss 3.9133 (3.9887)	Prec@1 16.797 (15.323)	Prec@5 40.234 (37.807)
Epoch: [32][5510/7045]	Time 0.107 (0.256)	Data 0.054 (0.191)	Loss 3.8668 (3.9886)	Prec@1 21.094 (15.325)	Prec@5 41.797 (37.811)
Epoch: [32][5520/7045]	Time 0.195 (0.256)	Data 0.144 (0.191)	Loss 3.6934 (3.9885)	Prec@1 17.969 (15.326)	Prec@5 46.094 (37.815)
Epoch: [32][5530/7045]	Time 0.101 (0.256)	Data 0.001 (0.191)	Loss 3.9823 (3.9883)	Prec@1 13.672 (15.328)	Prec@5 39.062 (37.818)
Epoch: [32][5540/7045]	Time 0.129 (0.256)	Data 0.078 (0.191)	Loss 3.9235 (3.9882)	Prec@1 17.188 (15.328)	Prec@5 37.891 (37.820)
Epoch: [32][5550/7045]	Time 0.101 (0.256)	Data 0.001 (0.191)	Loss 4.0115 (3.9881)	Prec@1 14.453 (15.330)	Prec@5 37.500 (37.822)
Epoch: [32][5560/7045]	Time 0.101 (0.256)	Data 0.001 (0.191)	Loss 4.0727 (3.9881)	Prec@1 14.844 (15.330)	Prec@5 35.156 (37.822)
Epoch: [32][5570/7045]	Time 0.107 (0.256)	Data 0.001 (0.191)	Loss 3.9733 (3.9880)	Prec@1 17.578 (15.330)	Prec@5 34.766 (37.825)
Epoch: [32][5580/7045]	Time 0.106 (0.256)	Data 0.055 (0.191)	Loss 3.6553 (3.9878)	Prec@1 20.703 (15.332)	Prec@5 43.750 (37.829)
Epoch: [32][5590/7045]	Time 0.102 (0.256)	Data 0.047 (0.191)	Loss 3.6903 (3.9878)	Prec@1 18.359 (15.333)	Prec@5 44.141 (37.830)
Epoch: [32][5600/7045]	Time 0.568 (0.256)	Data 0.518 (0.191)	Loss 4.0055 (3.9878)	Prec@1 14.062 (15.333)	Prec@5 35.938 (37.832)
Epoch: [32][5610/7045]	Time 0.110 (0.256)	Data 0.001 (0.191)	Loss 3.9478 (3.9877)	Prec@1 14.844 (15.333)	Prec@5 38.281 (37.832)
Epoch: [32][5620/7045]	Time 0.509 (0.256)	Data 0.458 (0.191)	Loss 3.8356 (3.9877)	Prec@1 14.453 (15.334)	Prec@5 37.109 (37.831)
Epoch: [32][5630/7045]	Time 0.620 (0.256)	Data 0.570 (0.191)	Loss 3.8929 (3.9876)	Prec@1 16.406 (15.335)	Prec@5 39.844 (37.832)
Epoch: [32][5640/7045]	Time 0.116 (0.256)	Data 0.065 (0.191)	Loss 4.0024 (3.9875)	Prec@1 19.922 (15.337)	Prec@5 39.453 (37.834)
Epoch: [32][5650/7045]	Time 0.176 (0.256)	Data 0.126 (0.191)	Loss 3.9296 (3.9875)	Prec@1 19.141 (15.339)	Prec@5 37.891 (37.834)
Epoch: [32][5660/7045]	Time 0.556 (0.256)	Data 0.496 (0.191)	Loss 3.7436 (3.9873)	Prec@1 22.266 (15.342)	Prec@5 44.531 (37.839)
Epoch: [32][5670/7045]	Time 0.099 (0.256)	Data 0.001 (0.191)	Loss 4.0120 (3.9872)	Prec@1 15.234 (15.343)	Prec@5 40.625 (37.839)
Epoch: [32][5680/7045]	Time 0.626 (0.256)	Data 0.574 (0.191)	Loss 3.8832 (3.9870)	Prec@1 14.453 (15.346)	Prec@5 36.328 (37.844)
Epoch: [32][5690/7045]	Time 0.156 (0.256)	Data 0.105 (0.191)	Loss 4.0587 (3.9869)	Prec@1 14.844 (15.347)	Prec@5 34.375 (37.845)
Epoch: [32][5700/7045]	Time 0.199 (0.256)	Data 0.148 (0.191)	Loss 4.0155 (3.9868)	Prec@1 13.281 (15.349)	Prec@5 33.594 (37.847)
Epoch: [32][5710/7045]	Time 0.286 (0.256)	Data 0.235 (0.191)	Loss 3.9847 (3.9867)	Prec@1 16.406 (15.350)	Prec@5 40.234 (37.851)
Epoch: [32][5720/7045]	Time 0.468 (0.256)	Data 0.417 (0.191)	Loss 3.9918 (3.9866)	Prec@1 14.844 (15.352)	Prec@5 34.375 (37.854)
Epoch: [32][5730/7045]	Time 0.172 (0.256)	Data 0.121 (0.191)	Loss 3.7568 (3.9864)	Prec@1 16.797 (15.353)	Prec@5 42.578 (37.857)
Epoch: [32][5740/7045]	Time 0.101 (0.256)	Data 0.001 (0.191)	Loss 3.8558 (3.9863)	Prec@1 15.234 (15.355)	Prec@5 38.672 (37.861)
Epoch: [32][5750/7045]	Time 0.136 (0.256)	Data 0.085 (0.191)	Loss 3.8384 (3.9861)	Prec@1 17.578 (15.358)	Prec@5 41.797 (37.865)
Epoch: [32][5760/7045]	Time 0.411 (0.256)	Data 0.358 (0.191)	Loss 4.1150 (3.9859)	Prec@1 14.453 (15.359)	Prec@5 28.125 (37.867)
Epoch: [32][5770/7045]	Time 0.189 (0.256)	Data 0.137 (0.191)	Loss 3.8921 (3.9859)	Prec@1 16.406 (15.360)	Prec@5 39.062 (37.869)
Epoch: [32][5780/7045]	Time 0.561 (0.256)	Data 0.511 (0.191)	Loss 3.9795 (3.9858)	Prec@1 20.312 (15.362)	Prec@5 36.328 (37.871)
Epoch: [32][5790/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 3.8672 (3.9857)	Prec@1 17.188 (15.363)	Prec@5 39.844 (37.874)
Epoch: [32][5800/7045]	Time 0.547 (0.256)	Data 0.497 (0.191)	Loss 3.8838 (3.9855)	Prec@1 15.234 (15.365)	Prec@5 38.672 (37.878)
Epoch: [32][5810/7045]	Time 0.101 (0.256)	Data 0.006 (0.191)	Loss 3.6991 (3.9853)	Prec@1 17.969 (15.367)	Prec@5 46.094 (37.881)
Epoch: [32][5820/7045]	Time 0.735 (0.256)	Data 0.683 (0.191)	Loss 3.9363 (3.9853)	Prec@1 14.453 (15.367)	Prec@5 40.234 (37.882)
Epoch: [32][5830/7045]	Time 0.098 (0.256)	Data 0.045 (0.191)	Loss 3.9796 (3.9852)	Prec@1 11.719 (15.366)	Prec@5 41.016 (37.886)
Epoch: [32][5840/7045]	Time 0.646 (0.256)	Data 0.595 (0.191)	Loss 4.0013 (3.9850)	Prec@1 15.234 (15.369)	Prec@5 40.625 (37.891)
Epoch: [32][5850/7045]	Time 0.201 (0.256)	Data 0.150 (0.191)	Loss 3.6810 (3.9849)	Prec@1 21.094 (15.371)	Prec@5 46.875 (37.892)
Epoch: [32][5860/7045]	Time 0.642 (0.256)	Data 0.592 (0.191)	Loss 4.1168 (3.9848)	Prec@1 15.625 (15.371)	Prec@5 37.500 (37.895)
Epoch: [32][5870/7045]	Time 0.112 (0.256)	Data 0.001 (0.191)	Loss 4.0518 (3.9847)	Prec@1 16.016 (15.371)	Prec@5 40.234 (37.898)
Epoch: [32][5880/7045]	Time 0.439 (0.256)	Data 0.387 (0.191)	Loss 4.0799 (3.9846)	Prec@1 14.844 (15.374)	Prec@5 37.891 (37.901)
Epoch: [32][5890/7045]	Time 0.328 (0.256)	Data 0.268 (0.191)	Loss 3.9718 (3.9844)	Prec@1 12.500 (15.376)	Prec@5 41.406 (37.906)
Epoch: [32][5900/7045]	Time 0.102 (0.256)	Data 0.044 (0.191)	Loss 3.9839 (3.9843)	Prec@1 15.625 (15.378)	Prec@5 36.328 (37.908)
Epoch: [32][5910/7045]	Time 0.491 (0.256)	Data 0.440 (0.191)	Loss 3.9746 (3.9841)	Prec@1 15.625 (15.379)	Prec@5 37.109 (37.911)
Epoch: [32][5920/7045]	Time 0.108 (0.256)	Data 0.009 (0.191)	Loss 3.9360 (3.9840)	Prec@1 14.062 (15.381)	Prec@5 37.109 (37.915)
Epoch: [32][5930/7045]	Time 0.465 (0.256)	Data 0.415 (0.191)	Loss 3.8241 (3.9839)	Prec@1 19.922 (15.381)	Prec@5 39.844 (37.917)
Epoch: [32][5940/7045]	Time 0.134 (0.256)	Data 0.082 (0.191)	Loss 3.9018 (3.9837)	Prec@1 16.406 (15.383)	Prec@5 39.453 (37.920)
Epoch: [32][5950/7045]	Time 0.250 (0.256)	Data 0.199 (0.191)	Loss 4.0256 (3.9837)	Prec@1 15.625 (15.383)	Prec@5 37.500 (37.922)
Epoch: [32][5960/7045]	Time 0.102 (0.256)	Data 0.009 (0.191)	Loss 3.7443 (3.9835)	Prec@1 19.531 (15.385)	Prec@5 42.578 (37.926)
Epoch: [32][5970/7045]	Time 0.269 (0.256)	Data 0.218 (0.191)	Loss 4.1176 (3.9835)	Prec@1 12.891 (15.388)	Prec@5 35.547 (37.928)
Epoch: [32][5980/7045]	Time 0.138 (0.256)	Data 0.087 (0.191)	Loss 3.9542 (3.9834)	Prec@1 15.234 (15.390)	Prec@5 37.109 (37.929)
Epoch: [32][5990/7045]	Time 0.102 (0.256)	Data 0.001 (0.191)	Loss 4.0351 (3.9832)	Prec@1 14.062 (15.391)	Prec@5 33.203 (37.932)
Epoch: [32][6000/7045]	Time 0.217 (0.256)	Data 0.163 (0.191)	Loss 3.9766 (3.9831)	Prec@1 15.234 (15.390)	Prec@5 38.281 (37.934)
Epoch: [32][6010/7045]	Time 0.235 (0.256)	Data 0.185 (0.191)	Loss 3.7745 (3.9830)	Prec@1 19.531 (15.392)	Prec@5 43.359 (37.935)
Epoch: [32][6020/7045]	Time 0.265 (0.256)	Data 0.206 (0.191)	Loss 4.0087 (3.9829)	Prec@1 17.578 (15.394)	Prec@5 35.938 (37.938)
Epoch: [32][6030/7045]	Time 0.142 (0.256)	Data 0.090 (0.191)	Loss 4.1016 (3.9828)	Prec@1 16.797 (15.395)	Prec@5 36.328 (37.939)
Epoch: [32][6040/7045]	Time 0.478 (0.256)	Data 0.427 (0.191)	Loss 4.1060 (3.9826)	Prec@1 11.719 (15.397)	Prec@5 35.156 (37.942)
Epoch: [32][6050/7045]	Time 0.155 (0.256)	Data 0.104 (0.191)	Loss 3.8749 (3.9825)	Prec@1 17.969 (15.399)	Prec@5 38.672 (37.944)
Epoch: [32][6060/7045]	Time 0.316 (0.256)	Data 0.264 (0.191)	Loss 3.8943 (3.9824)	Prec@1 16.797 (15.401)	Prec@5 41.016 (37.946)
Epoch: [32][6070/7045]	Time 0.102 (0.256)	Data 0.050 (0.191)	Loss 3.7762 (3.9823)	Prec@1 16.797 (15.401)	Prec@5 41.797 (37.947)
Epoch: [32][6080/7045]	Time 0.321 (0.256)	Data 0.269 (0.191)	Loss 3.7377 (3.9822)	Prec@1 16.016 (15.404)	Prec@5 42.578 (37.951)
Epoch: [32][6090/7045]	Time 0.101 (0.256)	Data 0.014 (0.191)	Loss 3.8532 (3.9821)	Prec@1 17.578 (15.405)	Prec@5 41.406 (37.954)
Epoch: [32][6100/7045]	Time 0.392 (0.256)	Data 0.341 (0.191)	Loss 3.7497 (3.9820)	Prec@1 21.484 (15.407)	Prec@5 44.922 (37.955)
Epoch: [32][6110/7045]	Time 0.228 (0.255)	Data 0.177 (0.191)	Loss 3.7934 (3.9819)	Prec@1 17.188 (15.408)	Prec@5 41.797 (37.958)
Epoch: [32][6120/7045]	Time 0.341 (0.255)	Data 0.290 (0.191)	Loss 3.8704 (3.9818)	Prec@1 15.625 (15.407)	Prec@5 40.625 (37.960)
Epoch: [32][6130/7045]	Time 0.236 (0.255)	Data 0.185 (0.191)	Loss 3.6892 (3.9817)	Prec@1 19.531 (15.408)	Prec@5 45.312 (37.964)
Epoch: [32][6140/7045]	Time 0.513 (0.255)	Data 0.461 (0.191)	Loss 3.8028 (3.9816)	Prec@1 18.359 (15.410)	Prec@5 41.016 (37.966)
Epoch: [32][6150/7045]	Time 0.110 (0.255)	Data 0.001 (0.191)	Loss 4.0767 (3.9816)	Prec@1 16.406 (15.409)	Prec@5 37.109 (37.968)
Epoch: [32][6160/7045]	Time 0.340 (0.255)	Data 0.289 (0.191)	Loss 4.0973 (3.9815)	Prec@1 15.625 (15.411)	Prec@5 37.500 (37.970)
Epoch: [32][6170/7045]	Time 0.101 (0.255)	Data 0.001 (0.191)	Loss 3.8789 (3.9814)	Prec@1 16.016 (15.412)	Prec@5 41.406 (37.973)
Epoch: [32][6180/7045]	Time 0.103 (0.255)	Data 0.001 (0.191)	Loss 3.9286 (3.9814)	Prec@1 16.406 (15.414)	Prec@5 41.797 (37.974)
Epoch: [32][6190/7045]	Time 0.158 (0.255)	Data 0.107 (0.191)	Loss 3.8963 (3.9813)	Prec@1 16.016 (15.415)	Prec@5 39.062 (37.974)
Epoch: [32][6200/7045]	Time 0.179 (0.255)	Data 0.129 (0.191)	Loss 4.0087 (3.9813)	Prec@1 15.625 (15.415)	Prec@5 37.891 (37.976)
Epoch: [32][6210/7045]	Time 0.377 (0.255)	Data 0.325 (0.191)	Loss 3.8460 (3.9812)	Prec@1 16.797 (15.417)	Prec@5 38.672 (37.977)
Epoch: [32][6220/7045]	Time 0.108 (0.255)	Data 0.007 (0.191)	Loss 3.7708 (3.9810)	Prec@1 18.750 (15.421)	Prec@5 42.188 (37.982)
Epoch: [32][6230/7045]	Time 0.319 (0.255)	Data 0.268 (0.191)	Loss 4.1247 (3.9810)	Prec@1 13.672 (15.421)	Prec@5 34.375 (37.982)
Epoch: [32][6240/7045]	Time 0.244 (0.255)	Data 0.194 (0.191)	Loss 3.8160 (3.9808)	Prec@1 19.141 (15.425)	Prec@5 42.188 (37.987)
Epoch: [32][6250/7045]	Time 0.101 (0.255)	Data 0.001 (0.191)	Loss 4.0097 (3.9808)	Prec@1 12.891 (15.427)	Prec@5 37.500 (37.989)
Epoch: [32][6260/7045]	Time 0.100 (0.255)	Data 0.021 (0.191)	Loss 3.9010 (3.9807)	Prec@1 16.797 (15.426)	Prec@5 39.062 (37.989)
Epoch: [32][6270/7045]	Time 0.142 (0.255)	Data 0.091 (0.191)	Loss 3.8926 (3.9806)	Prec@1 14.844 (15.428)	Prec@5 40.625 (37.991)
Epoch: [32][6280/7045]	Time 0.107 (0.255)	Data 0.054 (0.191)	Loss 3.7445 (3.9804)	Prec@1 16.797 (15.431)	Prec@5 41.797 (37.995)
Epoch: [32][6290/7045]	Time 0.221 (0.255)	Data 0.164 (0.191)	Loss 3.8298 (3.9803)	Prec@1 16.406 (15.433)	Prec@5 42.188 (37.999)
Epoch: [32][6300/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 3.7177 (3.9801)	Prec@1 20.312 (15.435)	Prec@5 43.750 (38.002)
Epoch: [32][6310/7045]	Time 0.381 (0.255)	Data 0.330 (0.191)	Loss 4.0816 (3.9801)	Prec@1 16.406 (15.435)	Prec@5 39.453 (38.003)
Epoch: [32][6320/7045]	Time 0.101 (0.255)	Data 0.001 (0.191)	Loss 3.7937 (3.9800)	Prec@1 19.531 (15.437)	Prec@5 39.062 (38.003)
Epoch: [32][6330/7045]	Time 0.186 (0.255)	Data 0.128 (0.191)	Loss 3.7848 (3.9799)	Prec@1 21.094 (15.440)	Prec@5 42.578 (38.007)
Epoch: [32][6340/7045]	Time 0.101 (0.255)	Data 0.049 (0.191)	Loss 3.6757 (3.9798)	Prec@1 21.484 (15.443)	Prec@5 45.312 (38.008)
Epoch: [32][6350/7045]	Time 0.203 (0.255)	Data 0.152 (0.191)	Loss 3.9748 (3.9797)	Prec@1 14.062 (15.444)	Prec@5 39.062 (38.013)
Epoch: [32][6360/7045]	Time 0.110 (0.255)	Data 0.060 (0.191)	Loss 4.0273 (3.9796)	Prec@1 13.672 (15.443)	Prec@5 37.109 (38.014)
Epoch: [32][6370/7045]	Time 0.528 (0.255)	Data 0.476 (0.191)	Loss 3.8343 (3.9795)	Prec@1 16.016 (15.444)	Prec@5 44.141 (38.018)
Epoch: [32][6380/7045]	Time 0.101 (0.255)	Data 0.004 (0.191)	Loss 3.9821 (3.9795)	Prec@1 15.234 (15.443)	Prec@5 39.844 (38.017)
Epoch: [32][6390/7045]	Time 0.371 (0.255)	Data 0.321 (0.191)	Loss 3.7935 (3.9794)	Prec@1 17.969 (15.445)	Prec@5 43.359 (38.021)
Epoch: [32][6400/7045]	Time 0.098 (0.255)	Data 0.045 (0.191)	Loss 3.9155 (3.9792)	Prec@1 15.625 (15.446)	Prec@5 40.625 (38.023)
Epoch: [32][6410/7045]	Time 0.160 (0.255)	Data 0.098 (0.191)	Loss 3.9497 (3.9792)	Prec@1 14.062 (15.446)	Prec@5 35.938 (38.022)
Epoch: [32][6420/7045]	Time 0.168 (0.255)	Data 0.118 (0.191)	Loss 3.9222 (3.9791)	Prec@1 15.234 (15.447)	Prec@5 36.719 (38.022)
Epoch: [32][6430/7045]	Time 0.370 (0.255)	Data 0.314 (0.191)	Loss 4.1166 (3.9789)	Prec@1 14.062 (15.450)	Prec@5 36.328 (38.026)
Epoch: [32][6440/7045]	Time 0.235 (0.255)	Data 0.185 (0.191)	Loss 3.9621 (3.9789)	Prec@1 15.625 (15.450)	Prec@5 38.281 (38.026)
Epoch: [32][6450/7045]	Time 0.121 (0.255)	Data 0.069 (0.191)	Loss 3.9349 (3.9789)	Prec@1 14.062 (15.450)	Prec@5 37.500 (38.026)
Epoch: [32][6460/7045]	Time 0.374 (0.255)	Data 0.322 (0.191)	Loss 3.9352 (3.9787)	Prec@1 13.672 (15.452)	Prec@5 37.891 (38.029)
Epoch: [32][6470/7045]	Time 0.102 (0.255)	Data 0.017 (0.191)	Loss 4.0028 (3.9787)	Prec@1 14.453 (15.452)	Prec@5 36.328 (38.030)
Epoch: [32][6480/7045]	Time 0.279 (0.255)	Data 0.228 (0.191)	Loss 3.8230 (3.9786)	Prec@1 19.141 (15.454)	Prec@5 47.266 (38.033)
Epoch: [32][6490/7045]	Time 0.102 (0.255)	Data 0.011 (0.191)	Loss 3.9851 (3.9785)	Prec@1 16.797 (15.456)	Prec@5 39.062 (38.037)
Epoch: [32][6500/7045]	Time 0.100 (0.255)	Data 0.045 (0.191)	Loss 4.1280 (3.9784)	Prec@1 13.672 (15.458)	Prec@5 34.766 (38.040)
Epoch: [32][6510/7045]	Time 0.214 (0.255)	Data 0.154 (0.191)	Loss 3.8288 (3.9782)	Prec@1 15.234 (15.459)	Prec@5 40.234 (38.042)
Epoch: [32][6520/7045]	Time 0.101 (0.255)	Data 0.001 (0.191)	Loss 3.8791 (3.9782)	Prec@1 16.406 (15.458)	Prec@5 40.625 (38.043)
Epoch: [32][6530/7045]	Time 0.101 (0.255)	Data 0.008 (0.191)	Loss 4.0254 (3.9781)	Prec@1 16.406 (15.460)	Prec@5 39.062 (38.046)
Epoch: [32][6540/7045]	Time 0.210 (0.255)	Data 0.159 (0.191)	Loss 3.7746 (3.9780)	Prec@1 19.141 (15.462)	Prec@5 42.578 (38.046)
Epoch: [32][6550/7045]	Time 0.114 (0.255)	Data 0.062 (0.191)	Loss 3.9210 (3.9779)	Prec@1 14.062 (15.464)	Prec@5 37.891 (38.049)
Epoch: [32][6560/7045]	Time 0.106 (0.255)	Data 0.052 (0.191)	Loss 4.1037 (3.9777)	Prec@1 11.719 (15.467)	Prec@5 36.719 (38.053)
Epoch: [32][6570/7045]	Time 0.163 (0.255)	Data 0.111 (0.191)	Loss 3.7915 (3.9776)	Prec@1 18.750 (15.469)	Prec@5 38.281 (38.056)
Epoch: [32][6580/7045]	Time 0.101 (0.255)	Data 0.001 (0.191)	Loss 4.0006 (3.9776)	Prec@1 17.578 (15.470)	Prec@5 39.453 (38.056)
Epoch: [32][6590/7045]	Time 0.513 (0.255)	Data 0.462 (0.191)	Loss 4.0042 (3.9775)	Prec@1 13.672 (15.470)	Prec@5 39.062 (38.057)
Epoch: [32][6600/7045]	Time 0.107 (0.255)	Data 0.001 (0.191)	Loss 3.8765 (3.9774)	Prec@1 18.750 (15.473)	Prec@5 41.406 (38.061)
Epoch: [32][6610/7045]	Time 0.692 (0.255)	Data 0.641 (0.191)	Loss 4.2042 (3.9773)	Prec@1 12.891 (15.475)	Prec@5 34.375 (38.062)
Epoch: [32][6620/7045]	Time 0.101 (0.255)	Data 0.005 (0.191)	Loss 3.7898 (3.9772)	Prec@1 17.578 (15.478)	Prec@5 44.531 (38.067)
Epoch: [32][6630/7045]	Time 0.592 (0.255)	Data 0.532 (0.191)	Loss 3.7844 (3.9770)	Prec@1 18.750 (15.479)	Prec@5 45.312 (38.070)
Epoch: [32][6640/7045]	Time 0.110 (0.255)	Data 0.060 (0.191)	Loss 3.7377 (3.9769)	Prec@1 16.797 (15.480)	Prec@5 43.750 (38.071)
Epoch: [32][6650/7045]	Time 0.526 (0.255)	Data 0.474 (0.191)	Loss 3.9202 (3.9769)	Prec@1 14.453 (15.480)	Prec@5 36.328 (38.072)
Epoch: [32][6660/7045]	Time 0.107 (0.255)	Data 0.001 (0.191)	Loss 3.8651 (3.9768)	Prec@1 17.578 (15.480)	Prec@5 42.188 (38.073)
Epoch: [32][6670/7045]	Time 0.598 (0.255)	Data 0.547 (0.191)	Loss 4.0594 (3.9767)	Prec@1 16.016 (15.481)	Prec@5 38.672 (38.075)
Epoch: [32][6680/7045]	Time 0.127 (0.255)	Data 0.077 (0.191)	Loss 3.8206 (3.9766)	Prec@1 19.141 (15.483)	Prec@5 40.625 (38.076)
Epoch: [32][6690/7045]	Time 0.109 (0.255)	Data 0.057 (0.191)	Loss 3.8692 (3.9763)	Prec@1 17.578 (15.486)	Prec@5 41.797 (38.081)
Epoch: [32][6700/7045]	Time 0.101 (0.255)	Data 0.026 (0.191)	Loss 3.9609 (3.9762)	Prec@1 13.281 (15.487)	Prec@5 35.156 (38.085)
Epoch: [32][6710/7045]	Time 0.324 (0.255)	Data 0.273 (0.191)	Loss 3.7822 (3.9761)	Prec@1 19.141 (15.487)	Prec@5 43.750 (38.088)
Epoch: [32][6720/7045]	Time 0.112 (0.255)	Data 0.061 (0.191)	Loss 3.8731 (3.9759)	Prec@1 16.797 (15.489)	Prec@5 39.062 (38.089)
Epoch: [32][6730/7045]	Time 0.105 (0.255)	Data 0.052 (0.191)	Loss 3.9630 (3.9758)	Prec@1 14.062 (15.491)	Prec@5 39.062 (38.093)
Epoch: [32][6740/7045]	Time 0.683 (0.255)	Data 0.630 (0.191)	Loss 3.9803 (3.9757)	Prec@1 14.453 (15.493)	Prec@5 36.719 (38.095)
Epoch: [32][6750/7045]	Time 0.234 (0.255)	Data 0.183 (0.191)	Loss 3.9529 (3.9755)	Prec@1 15.625 (15.494)	Prec@5 37.500 (38.099)
Epoch: [32][6760/7045]	Time 0.100 (0.255)	Data 0.047 (0.191)	Loss 3.9225 (3.9755)	Prec@1 19.141 (15.494)	Prec@5 39.453 (38.101)
Epoch: [32][6770/7045]	Time 0.582 (0.255)	Data 0.531 (0.191)	Loss 4.0356 (3.9754)	Prec@1 13.281 (15.495)	Prec@5 35.156 (38.102)
Epoch: [32][6780/7045]	Time 0.108 (0.255)	Data 0.055 (0.191)	Loss 3.9967 (3.9754)	Prec@1 10.938 (15.494)	Prec@5 36.328 (38.103)
Epoch: [32][6790/7045]	Time 0.431 (0.255)	Data 0.380 (0.191)	Loss 3.9778 (3.9753)	Prec@1 17.188 (15.497)	Prec@5 37.500 (38.105)
Epoch: [32][6800/7045]	Time 0.195 (0.255)	Data 0.143 (0.191)	Loss 4.0461 (3.9752)	Prec@1 14.453 (15.498)	Prec@5 35.156 (38.106)
Epoch: [32][6810/7045]	Time 0.101 (0.255)	Data 0.001 (0.191)	Loss 3.8882 (3.9750)	Prec@1 16.016 (15.501)	Prec@5 41.016 (38.110)
Epoch: [32][6820/7045]	Time 0.433 (0.255)	Data 0.382 (0.191)	Loss 3.9749 (3.9750)	Prec@1 14.844 (15.502)	Prec@5 39.453 (38.112)
Epoch: [32][6830/7045]	Time 0.101 (0.255)	Data 0.001 (0.191)	Loss 3.7955 (3.9749)	Prec@1 17.969 (15.504)	Prec@5 44.922 (38.113)
Epoch: [32][6840/7045]	Time 0.102 (0.255)	Data 0.017 (0.191)	Loss 3.8973 (3.9747)	Prec@1 17.578 (15.506)	Prec@5 42.578 (38.117)
Epoch: [32][6850/7045]	Time 0.205 (0.255)	Data 0.155 (0.191)	Loss 4.0037 (3.9747)	Prec@1 12.109 (15.506)	Prec@5 36.719 (38.118)
Epoch: [32][6860/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 3.8319 (3.9745)	Prec@1 17.969 (15.509)	Prec@5 39.844 (38.122)
Epoch: [32][6870/7045]	Time 0.110 (0.255)	Data 0.058 (0.191)	Loss 4.0722 (3.9745)	Prec@1 13.281 (15.510)	Prec@5 32.812 (38.124)
Epoch: [32][6880/7045]	Time 0.210 (0.255)	Data 0.158 (0.191)	Loss 3.7429 (3.9744)	Prec@1 17.969 (15.512)	Prec@5 40.625 (38.127)
Epoch: [32][6890/7045]	Time 0.222 (0.255)	Data 0.170 (0.191)	Loss 3.9026 (3.9743)	Prec@1 19.141 (15.514)	Prec@5 38.672 (38.129)
Epoch: [32][6900/7045]	Time 0.101 (0.255)	Data 0.001 (0.191)	Loss 3.9974 (3.9742)	Prec@1 15.234 (15.513)	Prec@5 35.938 (38.130)
Epoch: [32][6910/7045]	Time 0.361 (0.255)	Data 0.303 (0.191)	Loss 3.7234 (3.9741)	Prec@1 23.828 (15.516)	Prec@5 44.141 (38.132)
Epoch: [32][6920/7045]	Time 0.407 (0.255)	Data 0.354 (0.191)	Loss 3.8021 (3.9740)	Prec@1 15.625 (15.518)	Prec@5 41.016 (38.133)
Epoch: [32][6930/7045]	Time 0.468 (0.255)	Data 0.417 (0.191)	Loss 3.9935 (3.9739)	Prec@1 21.484 (15.520)	Prec@5 38.672 (38.136)
Epoch: [32][6940/7045]	Time 0.190 (0.255)	Data 0.139 (0.191)	Loss 3.8892 (3.9738)	Prec@1 17.969 (15.523)	Prec@5 39.844 (38.139)
Epoch: [32][6950/7045]	Time 0.535 (0.255)	Data 0.482 (0.191)	Loss 3.7942 (3.9737)	Prec@1 18.750 (15.525)	Prec@5 42.578 (38.143)
Epoch: [32][6960/7045]	Time 0.209 (0.255)	Data 0.158 (0.191)	Loss 3.7298 (3.9736)	Prec@1 20.312 (15.527)	Prec@5 42.578 (38.143)
Epoch: [32][6970/7045]	Time 0.489 (0.255)	Data 0.439 (0.191)	Loss 3.7513 (3.9735)	Prec@1 16.406 (15.528)	Prec@5 40.625 (38.146)
Epoch: [32][6980/7045]	Time 0.101 (0.255)	Data 0.013 (0.191)	Loss 3.6868 (3.9734)	Prec@1 20.312 (15.528)	Prec@5 45.703 (38.149)
Epoch: [32][6990/7045]	Time 0.581 (0.255)	Data 0.524 (0.191)	Loss 3.9588 (3.9733)	Prec@1 12.500 (15.530)	Prec@5 38.672 (38.151)
Epoch: [32][7000/7045]	Time 0.101 (0.255)	Data 0.013 (0.191)	Loss 3.8851 (3.9732)	Prec@1 13.281 (15.530)	Prec@5 39.453 (38.152)
Epoch: [32][7010/7045]	Time 0.645 (0.255)	Data 0.594 (0.191)	Loss 3.8906 (3.9731)	Prec@1 17.188 (15.532)	Prec@5 38.281 (38.153)
Epoch: [32][7020/7045]	Time 0.111 (0.255)	Data 0.012 (0.191)	Loss 3.7881 (3.9729)	Prec@1 16.016 (15.534)	Prec@5 40.234 (38.156)
Epoch: [32][7030/7045]	Time 0.490 (0.255)	Data 0.439 (0.191)	Loss 3.9206 (3.9729)	Prec@1 17.969 (15.537)	Prec@5 41.406 (38.158)
Epoch: [32][7040/7045]	Time 0.224 (0.255)	Data 0.172 (0.191)	Loss 3.9466 (3.9728)	Prec@1 17.578 (15.538)	Prec@5 39.844 (38.161)
Test: [0/143]	Time 1.363 (1.363)	Loss 3.4702 (3.4702)	Prec@1 21.484 (21.484)	Prec@5 50.391 (50.391)
Test: [10/143]	Time 0.049 (0.266)	Loss 3.5738 (3.5394)	Prec@1 21.875 (19.744)	Prec@5 50.391 (47.869)
Test: [20/143]	Time 0.491 (0.242)	Loss 3.4811 (3.4362)	Prec@1 19.531 (21.373)	Prec@5 51.172 (50.130)
Test: [30/143]	Time 0.127 (0.218)	Loss 3.8843 (3.4421)	Prec@1 12.500 (21.724)	Prec@5 42.969 (50.113)
Test: [40/143]	Time 0.212 (0.208)	Loss 4.2643 (3.4550)	Prec@1 1.953 (21.818)	Prec@5 20.703 (49.095)
Test: [50/143]	Time 0.124 (0.199)	Loss 3.0085 (3.4923)	Prec@1 29.688 (20.841)	Prec@5 58.984 (47.871)
Test: [60/143]	Time 0.049 (0.198)	Loss 3.8712 (3.4530)	Prec@1 10.547 (22.048)	Prec@5 37.500 (49.219)
Test: [70/143]	Time 0.200 (0.196)	Loss 3.9087 (3.4500)	Prec@1 14.844 (22.079)	Prec@5 38.281 (49.367)
Test: [80/143]	Time 0.048 (0.192)	Loss 3.5798 (3.4468)	Prec@1 20.312 (22.261)	Prec@5 47.266 (49.484)
Test: [90/143]	Time 0.230 (0.191)	Loss 3.0898 (3.4416)	Prec@1 28.125 (22.291)	Prec@5 59.766 (49.704)
Test: [100/143]	Time 0.285 (0.190)	Loss 2.8942 (3.4374)	Prec@1 34.766 (22.355)	Prec@5 68.750 (49.872)
Test: [110/143]	Time 0.060 (0.187)	Loss 3.1784 (3.4236)	Prec@1 32.031 (22.853)	Prec@5 49.609 (50.162)
Test: [120/143]	Time 0.239 (0.187)	Loss 3.2587 (3.4128)	Prec@1 23.828 (23.160)	Prec@5 56.250 (50.465)
Test: [130/143]	Time 0.260 (0.187)	Loss 3.2134 (3.4180)	Prec@1 27.734 (23.077)	Prec@5 52.734 (50.301)
Test: [140/143]	Time 0.117 (0.186)	Loss 4.1852 (3.4382)	Prec@1 8.203 (22.659)	Prec@5 31.250 (49.820)
 * Prec@1 22.715 Prec@5 49.855
Epoch: [33][0/7045]	Time 2.747 (2.747)	Data 2.690 (2.690)	Loss 4.0849 (4.0849)	Prec@1 15.234 (15.234)	Prec@5 35.938 (35.938)
Epoch: [33][10/7045]	Time 0.164 (0.443)	Data 0.112 (0.375)	Loss 4.1419 (3.9579)	Prec@1 14.062 (16.158)	Prec@5 37.109 (39.382)
Epoch: [33][20/7045]	Time 0.248 (0.352)	Data 0.197 (0.287)	Loss 3.9675 (3.9004)	Prec@1 15.625 (16.908)	Prec@5 37.500 (40.123)
Epoch: [33][30/7045]	Time 0.101 (0.323)	Data 0.013 (0.254)	Loss 3.8879 (3.8835)	Prec@1 18.359 (17.162)	Prec@5 42.188 (40.171)
Epoch: [33][40/7045]	Time 0.195 (0.298)	Data 0.144 (0.232)	Loss 3.7642 (3.8874)	Prec@1 19.922 (17.111)	Prec@5 41.406 (40.377)
Epoch: [33][50/7045]	Time 0.100 (0.294)	Data 0.001 (0.224)	Loss 3.8273 (3.8839)	Prec@1 17.969 (17.096)	Prec@5 42.969 (40.234)
Epoch: [33][60/7045]	Time 0.258 (0.284)	Data 0.206 (0.215)	Loss 3.7756 (3.8817)	Prec@1 16.016 (17.168)	Prec@5 38.281 (40.074)
Epoch: [33][70/7045]	Time 0.165 (0.279)	Data 0.113 (0.212)	Loss 3.5764 (3.8777)	Prec@1 21.094 (17.154)	Prec@5 44.922 (40.113)
Epoch: [33][80/7045]	Time 0.234 (0.276)	Data 0.182 (0.211)	Loss 3.7553 (3.8759)	Prec@1 19.922 (17.144)	Prec@5 41.797 (40.075)
Epoch: [33][90/7045]	Time 0.113 (0.270)	Data 0.061 (0.207)	Loss 3.8517 (3.8766)	Prec@1 17.969 (17.097)	Prec@5 39.062 (39.964)
Epoch: [33][100/7045]	Time 0.160 (0.271)	Data 0.108 (0.207)	Loss 3.8872 (3.8759)	Prec@1 14.844 (17.106)	Prec@5 43.750 (40.037)
Epoch: [33][110/7045]	Time 0.116 (0.266)	Data 0.065 (0.203)	Loss 3.9187 (3.8772)	Prec@1 15.234 (17.071)	Prec@5 39.844 (40.058)
Epoch: [33][120/7045]	Time 0.280 (0.268)	Data 0.228 (0.204)	Loss 4.0850 (3.8754)	Prec@1 14.453 (17.052)	Prec@5 38.281 (40.099)
Epoch: [33][130/7045]	Time 0.191 (0.265)	Data 0.140 (0.202)	Loss 3.7857 (3.8779)	Prec@1 16.406 (16.949)	Prec@5 41.406 (40.091)
Epoch: [33][140/7045]	Time 0.105 (0.265)	Data 0.052 (0.202)	Loss 3.8814 (3.8752)	Prec@1 18.750 (16.977)	Prec@5 38.672 (40.162)
Epoch: [33][150/7045]	Time 0.462 (0.265)	Data 0.410 (0.202)	Loss 3.9306 (3.8724)	Prec@1 16.406 (17.022)	Prec@5 38.281 (40.203)
Epoch: [33][160/7045]	Time 0.113 (0.262)	Data 0.061 (0.200)	Loss 3.8383 (3.8730)	Prec@1 16.406 (17.032)	Prec@5 42.188 (40.176)
Epoch: [33][170/7045]	Time 0.625 (0.263)	Data 0.574 (0.200)	Loss 3.8742 (3.8761)	Prec@1 16.016 (17.037)	Prec@5 42.188 (40.136)
Epoch: [33][180/7045]	Time 0.101 (0.261)	Data 0.001 (0.197)	Loss 3.9846 (3.8795)	Prec@1 17.969 (17.036)	Prec@5 35.547 (40.133)
Epoch: [33][190/7045]	Time 0.430 (0.261)	Data 0.379 (0.196)	Loss 4.0253 (3.8777)	Prec@1 16.016 (17.026)	Prec@5 39.453 (40.177)
Epoch: [33][200/7045]	Time 0.110 (0.260)	Data 0.001 (0.194)	Loss 3.8437 (3.8791)	Prec@1 17.578 (16.972)	Prec@5 41.406 (40.170)
Epoch: [33][210/7045]	Time 0.475 (0.259)	Data 0.424 (0.194)	Loss 3.7216 (3.8787)	Prec@1 19.141 (16.952)	Prec@5 44.141 (40.177)
Epoch: [33][220/7045]	Time 0.161 (0.258)	Data 0.109 (0.193)	Loss 3.8565 (3.8776)	Prec@1 17.578 (16.924)	Prec@5 37.891 (40.151)
Epoch: [33][230/7045]	Time 0.394 (0.259)	Data 0.343 (0.194)	Loss 3.7547 (3.8779)	Prec@1 17.578 (16.903)	Prec@5 40.625 (40.163)
Epoch: [33][240/7045]	Time 0.102 (0.258)	Data 0.001 (0.193)	Loss 3.9003 (3.8761)	Prec@1 17.969 (16.875)	Prec@5 40.234 (40.189)
Epoch: [33][250/7045]	Time 0.368 (0.258)	Data 0.317 (0.194)	Loss 3.7659 (3.8756)	Prec@1 16.406 (16.853)	Prec@5 41.406 (40.161)
Epoch: [33][260/7045]	Time 0.457 (0.258)	Data 0.406 (0.194)	Loss 3.8930 (3.8777)	Prec@1 16.016 (16.812)	Prec@5 40.625 (40.115)
Epoch: [33][270/7045]	Time 0.188 (0.257)	Data 0.138 (0.194)	Loss 3.8297 (3.8770)	Prec@1 15.234 (16.800)	Prec@5 44.531 (40.132)
Epoch: [33][280/7045]	Time 0.277 (0.257)	Data 0.224 (0.193)	Loss 3.7879 (3.8791)	Prec@1 16.797 (16.773)	Prec@5 40.625 (40.095)
Epoch: [33][290/7045]	Time 0.102 (0.257)	Data 0.001 (0.193)	Loss 3.9015 (3.8793)	Prec@1 14.453 (16.758)	Prec@5 39.453 (40.100)
Epoch: [33][300/7045]	Time 0.101 (0.256)	Data 0.045 (0.193)	Loss 3.8187 (3.8784)	Prec@1 13.672 (16.754)	Prec@5 38.281 (40.084)
Epoch: [33][310/7045]	Time 0.160 (0.256)	Data 0.110 (0.193)	Loss 3.8925 (3.8788)	Prec@1 17.969 (16.778)	Prec@5 42.188 (40.095)
Epoch: [33][320/7045]	Time 0.165 (0.256)	Data 0.115 (0.193)	Loss 3.9482 (3.8790)	Prec@1 17.188 (16.788)	Prec@5 40.234 (40.108)
Epoch: [33][330/7045]	Time 0.150 (0.255)	Data 0.098 (0.193)	Loss 3.8197 (3.8787)	Prec@1 18.359 (16.782)	Prec@5 40.625 (40.115)
Epoch: [33][340/7045]	Time 0.325 (0.255)	Data 0.267 (0.193)	Loss 3.9521 (3.8775)	Prec@1 14.844 (16.763)	Prec@5 39.062 (40.139)
Epoch: [33][350/7045]	Time 0.101 (0.255)	Data 0.001 (0.192)	Loss 3.9249 (3.8772)	Prec@1 14.062 (16.774)	Prec@5 40.625 (40.187)
Epoch: [33][360/7045]	Time 0.592 (0.255)	Data 0.540 (0.193)	Loss 4.0334 (3.8776)	Prec@1 16.016 (16.787)	Prec@5 35.547 (40.185)
Epoch: [33][370/7045]	Time 0.105 (0.254)	Data 0.052 (0.192)	Loss 4.0028 (3.8793)	Prec@1 14.844 (16.751)	Prec@5 38.672 (40.139)
Epoch: [33][380/7045]	Time 0.653 (0.255)	Data 0.594 (0.192)	Loss 3.8819 (3.8794)	Prec@1 16.797 (16.752)	Prec@5 37.109 (40.128)
Epoch: [33][390/7045]	Time 0.100 (0.254)	Data 0.048 (0.191)	Loss 3.9167 (3.8787)	Prec@1 16.797 (16.732)	Prec@5 39.844 (40.138)
Epoch: [33][400/7045]	Time 0.605 (0.254)	Data 0.545 (0.191)	Loss 3.7175 (3.8791)	Prec@1 18.750 (16.741)	Prec@5 43.750 (40.130)
Epoch: [33][410/7045]	Time 0.456 (0.254)	Data 0.403 (0.191)	Loss 3.9645 (3.8801)	Prec@1 15.234 (16.717)	Prec@5 39.062 (40.127)
Epoch: [33][420/7045]	Time 0.327 (0.254)	Data 0.277 (0.191)	Loss 3.9322 (3.8799)	Prec@1 16.016 (16.725)	Prec@5 40.234 (40.135)
Epoch: [33][430/7045]	Time 0.616 (0.254)	Data 0.556 (0.191)	Loss 3.7633 (3.8799)	Prec@1 19.531 (16.702)	Prec@5 44.141 (40.146)
Epoch: [33][440/7045]	Time 0.112 (0.253)	Data 0.001 (0.191)	Loss 3.9630 (3.8805)	Prec@1 12.500 (16.668)	Prec@5 37.500 (40.129)
Epoch: [33][450/7045]	Time 0.539 (0.254)	Data 0.481 (0.191)	Loss 3.7790 (3.8803)	Prec@1 19.141 (16.668)	Prec@5 45.312 (40.138)
Epoch: [33][460/7045]	Time 0.228 (0.253)	Data 0.167 (0.190)	Loss 3.9366 (3.8790)	Prec@1 14.453 (16.680)	Prec@5 40.625 (40.178)
Epoch: [33][470/7045]	Time 0.538 (0.253)	Data 0.486 (0.191)	Loss 3.7201 (3.8796)	Prec@1 16.797 (16.668)	Prec@5 44.141 (40.169)
Epoch: [33][480/7045]	Time 0.307 (0.253)	Data 0.257 (0.190)	Loss 3.9147 (3.8804)	Prec@1 17.188 (16.647)	Prec@5 36.328 (40.140)
Epoch: [33][490/7045]	Time 0.280 (0.253)	Data 0.219 (0.190)	Loss 3.8928 (3.8807)	Prec@1 14.844 (16.651)	Prec@5 43.359 (40.148)
Epoch: [33][500/7045]	Time 0.311 (0.252)	Data 0.258 (0.190)	Loss 3.9889 (3.8807)	Prec@1 18.750 (16.658)	Prec@5 39.453 (40.135)
Epoch: [33][510/7045]	Time 0.111 (0.253)	Data 0.052 (0.190)	Loss 3.7369 (3.8789)	Prec@1 16.797 (16.656)	Prec@5 40.625 (40.159)
Epoch: [33][520/7045]	Time 0.246 (0.252)	Data 0.195 (0.190)	Loss 3.9460 (3.8792)	Prec@1 17.578 (16.653)	Prec@5 40.234 (40.177)
Epoch: [33][530/7045]	Time 0.264 (0.252)	Data 0.213 (0.190)	Loss 3.9654 (3.8802)	Prec@1 17.188 (16.638)	Prec@5 42.969 (40.168)
Epoch: [33][540/7045]	Time 0.102 (0.252)	Data 0.050 (0.189)	Loss 3.8060 (3.8791)	Prec@1 15.234 (16.656)	Prec@5 40.625 (40.200)
Epoch: [33][550/7045]	Time 0.466 (0.252)	Data 0.416 (0.190)	Loss 3.8717 (3.8795)	Prec@1 16.406 (16.655)	Prec@5 43.359 (40.212)
Epoch: [33][560/7045]	Time 0.447 (0.252)	Data 0.396 (0.190)	Loss 3.9102 (3.8805)	Prec@1 19.531 (16.669)	Prec@5 41.797 (40.191)
Epoch: [33][570/7045]	Time 0.275 (0.252)	Data 0.217 (0.189)	Loss 3.9409 (3.8797)	Prec@1 16.406 (16.697)	Prec@5 40.625 (40.218)
Epoch: [33][580/7045]	Time 0.571 (0.252)	Data 0.511 (0.189)	Loss 3.8968 (3.8801)	Prec@1 17.188 (16.699)	Prec@5 41.406 (40.203)
Epoch: [33][590/7045]	Time 0.101 (0.251)	Data 0.010 (0.189)	Loss 3.7267 (3.8798)	Prec@1 17.969 (16.722)	Prec@5 43.359 (40.226)
Epoch: [33][600/7045]	Time 0.642 (0.252)	Data 0.590 (0.189)	Loss 3.8281 (3.8807)	Prec@1 17.969 (16.723)	Prec@5 44.922 (40.203)
Epoch: [33][610/7045]	Time 0.249 (0.251)	Data 0.196 (0.188)	Loss 3.8120 (3.8815)	Prec@1 18.750 (16.720)	Prec@5 42.969 (40.200)
Epoch: [33][620/7045]	Time 0.527 (0.251)	Data 0.476 (0.188)	Loss 3.9150 (3.8814)	Prec@1 12.891 (16.725)	Prec@5 40.234 (40.207)
Epoch: [33][630/7045]	Time 0.101 (0.251)	Data 0.046 (0.188)	Loss 3.7393 (3.8811)	Prec@1 14.844 (16.731)	Prec@5 46.484 (40.223)
Epoch: [33][640/7045]	Time 0.236 (0.251)	Data 0.185 (0.188)	Loss 3.7886 (3.8801)	Prec@1 14.453 (16.732)	Prec@5 42.188 (40.239)
Epoch: [33][650/7045]	Time 0.109 (0.250)	Data 0.057 (0.187)	Loss 3.8884 (3.8799)	Prec@1 17.969 (16.735)	Prec@5 42.188 (40.250)
Epoch: [33][660/7045]	Time 0.102 (0.251)	Data 0.002 (0.188)	Loss 3.9130 (3.8793)	Prec@1 14.844 (16.738)	Prec@5 34.375 (40.261)
Epoch: [33][670/7045]	Time 0.101 (0.250)	Data 0.001 (0.187)	Loss 3.9584 (3.8792)	Prec@1 14.844 (16.743)	Prec@5 38.672 (40.269)
Epoch: [33][680/7045]	Time 0.126 (0.251)	Data 0.074 (0.187)	Loss 3.7197 (3.8781)	Prec@1 18.750 (16.756)	Prec@5 45.703 (40.307)
Epoch: [33][690/7045]	Time 0.102 (0.250)	Data 0.019 (0.187)	Loss 3.7631 (3.8785)	Prec@1 19.531 (16.751)	Prec@5 42.578 (40.289)
Epoch: [33][700/7045]	Time 0.144 (0.251)	Data 0.094 (0.187)	Loss 3.9918 (3.8787)	Prec@1 14.062 (16.742)	Prec@5 37.500 (40.274)
Epoch: [33][710/7045]	Time 0.309 (0.250)	Data 0.258 (0.187)	Loss 3.8547 (3.8783)	Prec@1 17.578 (16.747)	Prec@5 40.625 (40.292)
Epoch: [33][720/7045]	Time 0.101 (0.250)	Data 0.022 (0.187)	Loss 3.7996 (3.8785)	Prec@1 16.016 (16.742)	Prec@5 40.625 (40.287)
Epoch: [33][730/7045]	Time 0.610 (0.251)	Data 0.551 (0.188)	Loss 3.9423 (3.8781)	Prec@1 16.406 (16.743)	Prec@5 37.891 (40.300)
Epoch: [33][740/7045]	Time 0.099 (0.250)	Data 0.001 (0.187)	Loss 3.8779 (3.8781)	Prec@1 18.359 (16.744)	Prec@5 37.891 (40.296)
Epoch: [33][750/7045]	Time 0.617 (0.251)	Data 0.565 (0.187)	Loss 4.0724 (3.8785)	Prec@1 14.062 (16.731)	Prec@5 38.281 (40.268)
Epoch: [33][760/7045]	Time 0.101 (0.250)	Data 0.045 (0.187)	Loss 3.9507 (3.8796)	Prec@1 11.719 (16.708)	Prec@5 35.938 (40.245)
Epoch: [33][770/7045]	Time 0.558 (0.250)	Data 0.507 (0.187)	Loss 3.8240 (3.8789)	Prec@1 14.453 (16.712)	Prec@5 39.062 (40.255)
Epoch: [33][780/7045]	Time 0.109 (0.250)	Data 0.012 (0.186)	Loss 3.7554 (3.8783)	Prec@1 20.703 (16.723)	Prec@5 43.750 (40.265)
Epoch: [33][790/7045]	Time 0.632 (0.250)	Data 0.580 (0.186)	Loss 3.8551 (3.8783)	Prec@1 16.406 (16.717)	Prec@5 41.016 (40.266)
Epoch: [33][800/7045]	Time 0.212 (0.250)	Data 0.161 (0.186)	Loss 3.7945 (3.8778)	Prec@1 15.625 (16.725)	Prec@5 39.453 (40.270)
Epoch: [33][810/7045]	Time 0.400 (0.250)	Data 0.341 (0.186)	Loss 3.7389 (3.8770)	Prec@1 18.750 (16.731)	Prec@5 44.531 (40.284)
Epoch: [33][820/7045]	Time 0.256 (0.250)	Data 0.203 (0.186)	Loss 3.8583 (3.8757)	Prec@1 16.797 (16.756)	Prec@5 44.922 (40.331)
Epoch: [33][830/7045]	Time 0.408 (0.250)	Data 0.357 (0.186)	Loss 4.0175 (3.8770)	Prec@1 15.234 (16.737)	Prec@5 38.281 (40.309)
Epoch: [33][840/7045]	Time 0.196 (0.250)	Data 0.145 (0.186)	Loss 3.7596 (3.8764)	Prec@1 19.531 (16.745)	Prec@5 42.969 (40.313)
Epoch: [33][850/7045]	Time 0.268 (0.250)	Data 0.216 (0.186)	Loss 3.9918 (3.8764)	Prec@1 13.281 (16.739)	Prec@5 35.156 (40.311)
Epoch: [33][860/7045]	Time 0.167 (0.250)	Data 0.116 (0.186)	Loss 3.8655 (3.8759)	Prec@1 19.531 (16.758)	Prec@5 42.578 (40.322)
Epoch: [33][870/7045]	Time 0.106 (0.250)	Data 0.008 (0.186)	Loss 3.8116 (3.8756)	Prec@1 16.406 (16.760)	Prec@5 42.188 (40.323)
Epoch: [33][880/7045]	Time 0.101 (0.250)	Data 0.046 (0.186)	Loss 3.8584 (3.8752)	Prec@1 18.359 (16.766)	Prec@5 39.844 (40.331)
Epoch: [33][890/7045]	Time 0.107 (0.250)	Data 0.055 (0.186)	Loss 3.8601 (3.8752)	Prec@1 20.312 (16.779)	Prec@5 43.359 (40.333)
Epoch: [33][900/7045]	Time 0.102 (0.249)	Data 0.047 (0.185)	Loss 3.9397 (3.8753)	Prec@1 15.625 (16.778)	Prec@5 38.672 (40.329)
Epoch: [33][910/7045]	Time 0.149 (0.250)	Data 0.097 (0.186)	Loss 3.8113 (3.8752)	Prec@1 19.141 (16.773)	Prec@5 41.016 (40.334)
Epoch: [33][920/7045]	Time 0.101 (0.250)	Data 0.001 (0.186)	Loss 3.8511 (3.8746)	Prec@1 17.969 (16.781)	Prec@5 41.406 (40.346)
Epoch: [33][930/7045]	Time 0.101 (0.250)	Data 0.009 (0.186)	Loss 3.6649 (3.8738)	Prec@1 19.531 (16.783)	Prec@5 46.094 (40.364)
Epoch: [33][940/7045]	Time 0.102 (0.250)	Data 0.007 (0.186)	Loss 3.5367 (3.8735)	Prec@1 26.172 (16.795)	Prec@5 48.438 (40.364)
Epoch: [33][950/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 3.9149 (3.8734)	Prec@1 14.844 (16.801)	Prec@5 40.234 (40.370)
Epoch: [33][960/7045]	Time 0.133 (0.250)	Data 0.076 (0.185)	Loss 3.7654 (3.8729)	Prec@1 18.750 (16.801)	Prec@5 45.703 (40.384)
Epoch: [33][970/7045]	Time 0.102 (0.250)	Data 0.001 (0.185)	Loss 4.0218 (3.8734)	Prec@1 17.969 (16.796)	Prec@5 37.891 (40.382)
Epoch: [33][980/7045]	Time 0.263 (0.250)	Data 0.204 (0.185)	Loss 3.8985 (3.8732)	Prec@1 13.672 (16.798)	Prec@5 40.625 (40.389)
Epoch: [33][990/7045]	Time 0.235 (0.249)	Data 0.183 (0.185)	Loss 3.7175 (3.8721)	Prec@1 16.016 (16.810)	Prec@5 42.188 (40.414)
Epoch: [33][1000/7045]	Time 0.110 (0.249)	Data 0.001 (0.185)	Loss 3.8048 (3.8726)	Prec@1 17.578 (16.804)	Prec@5 40.234 (40.397)
Epoch: [33][1010/7045]	Time 0.357 (0.249)	Data 0.305 (0.185)	Loss 3.8259 (3.8725)	Prec@1 16.016 (16.812)	Prec@5 42.969 (40.408)
Epoch: [33][1020/7045]	Time 0.112 (0.249)	Data 0.060 (0.185)	Loss 3.7498 (3.8720)	Prec@1 19.531 (16.815)	Prec@5 42.969 (40.419)
Epoch: [33][1030/7045]	Time 0.232 (0.249)	Data 0.181 (0.185)	Loss 3.8849 (3.8723)	Prec@1 16.797 (16.808)	Prec@5 39.453 (40.404)
Epoch: [33][1040/7045]	Time 0.113 (0.249)	Data 0.051 (0.185)	Loss 3.7082 (3.8717)	Prec@1 18.750 (16.825)	Prec@5 43.750 (40.412)
Epoch: [33][1050/7045]	Time 0.325 (0.249)	Data 0.273 (0.185)	Loss 3.8632 (3.8718)	Prec@1 17.969 (16.822)	Prec@5 39.062 (40.412)
Epoch: [33][1060/7045]	Time 0.100 (0.249)	Data 0.001 (0.185)	Loss 3.9359 (3.8720)	Prec@1 12.891 (16.816)	Prec@5 39.062 (40.408)
Epoch: [33][1070/7045]	Time 0.346 (0.249)	Data 0.295 (0.185)	Loss 3.8541 (3.8720)	Prec@1 15.625 (16.825)	Prec@5 42.188 (40.407)
Epoch: [33][1080/7045]	Time 0.108 (0.249)	Data 0.055 (0.185)	Loss 3.7348 (3.8718)	Prec@1 22.266 (16.834)	Prec@5 44.531 (40.403)
Epoch: [33][1090/7045]	Time 0.397 (0.249)	Data 0.345 (0.185)	Loss 3.8380 (3.8714)	Prec@1 17.578 (16.837)	Prec@5 41.406 (40.410)
Epoch: [33][1100/7045]	Time 0.166 (0.249)	Data 0.114 (0.185)	Loss 3.8211 (3.8714)	Prec@1 17.188 (16.831)	Prec@5 42.578 (40.414)
Epoch: [33][1110/7045]	Time 0.367 (0.249)	Data 0.315 (0.185)	Loss 3.7587 (3.8709)	Prec@1 19.922 (16.850)	Prec@5 43.750 (40.437)
Epoch: [33][1120/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 3.8349 (3.8714)	Prec@1 17.578 (16.841)	Prec@5 39.453 (40.427)
Epoch: [33][1130/7045]	Time 0.388 (0.249)	Data 0.337 (0.185)	Loss 3.7406 (3.8713)	Prec@1 20.703 (16.841)	Prec@5 40.234 (40.427)
Epoch: [33][1140/7045]	Time 0.278 (0.249)	Data 0.226 (0.185)	Loss 3.9610 (3.8715)	Prec@1 15.625 (16.842)	Prec@5 37.109 (40.416)
Epoch: [33][1150/7045]	Time 0.565 (0.249)	Data 0.505 (0.185)	Loss 3.9477 (3.8716)	Prec@1 17.969 (16.838)	Prec@5 39.844 (40.422)
Epoch: [33][1160/7045]	Time 0.110 (0.249)	Data 0.050 (0.184)	Loss 3.9979 (3.8721)	Prec@1 14.453 (16.831)	Prec@5 36.719 (40.404)
Epoch: [33][1170/7045]	Time 0.681 (0.249)	Data 0.623 (0.185)	Loss 3.9258 (3.8722)	Prec@1 13.281 (16.821)	Prec@5 36.719 (40.397)
Epoch: [33][1180/7045]	Time 0.101 (0.249)	Data 0.018 (0.184)	Loss 4.0194 (3.8721)	Prec@1 13.672 (16.817)	Prec@5 35.547 (40.398)
Epoch: [33][1190/7045]	Time 0.630 (0.249)	Data 0.578 (0.184)	Loss 3.7790 (3.8721)	Prec@1 19.531 (16.816)	Prec@5 42.578 (40.400)
Epoch: [33][1200/7045]	Time 0.108 (0.249)	Data 0.056 (0.184)	Loss 3.9468 (3.8724)	Prec@1 16.797 (16.807)	Prec@5 40.625 (40.395)
Epoch: [33][1210/7045]	Time 0.665 (0.249)	Data 0.614 (0.184)	Loss 3.9112 (3.8727)	Prec@1 16.016 (16.799)	Prec@5 41.406 (40.382)
Epoch: [33][1220/7045]	Time 0.095 (0.249)	Data 0.001 (0.184)	Loss 3.8223 (3.8727)	Prec@1 21.875 (16.804)	Prec@5 42.578 (40.378)
Epoch: [33][1230/7045]	Time 0.537 (0.249)	Data 0.486 (0.184)	Loss 3.7836 (3.8724)	Prec@1 17.578 (16.807)	Prec@5 41.406 (40.383)
Epoch: [33][1240/7045]	Time 0.105 (0.249)	Data 0.051 (0.183)	Loss 3.6680 (3.8715)	Prec@1 20.312 (16.816)	Prec@5 47.266 (40.408)
Epoch: [33][1250/7045]	Time 0.608 (0.249)	Data 0.557 (0.184)	Loss 3.7728 (3.8713)	Prec@1 19.141 (16.817)	Prec@5 44.141 (40.421)
Epoch: [33][1260/7045]	Time 0.099 (0.249)	Data 0.001 (0.183)	Loss 3.8061 (3.8708)	Prec@1 16.406 (16.821)	Prec@5 40.625 (40.428)
Epoch: [33][1270/7045]	Time 0.786 (0.249)	Data 0.732 (0.183)	Loss 3.8670 (3.8709)	Prec@1 16.016 (16.828)	Prec@5 43.359 (40.437)
Epoch: [33][1280/7045]	Time 0.184 (0.249)	Data 0.132 (0.183)	Loss 3.8406 (3.8706)	Prec@1 15.625 (16.831)	Prec@5 40.234 (40.444)
Epoch: [33][1290/7045]	Time 0.755 (0.249)	Data 0.703 (0.183)	Loss 3.9289 (3.8707)	Prec@1 17.188 (16.832)	Prec@5 39.453 (40.436)
Epoch: [33][1300/7045]	Time 0.108 (0.249)	Data 0.001 (0.183)	Loss 3.9580 (3.8709)	Prec@1 16.016 (16.831)	Prec@5 37.500 (40.433)
Epoch: [33][1310/7045]	Time 0.568 (0.249)	Data 0.517 (0.183)	Loss 3.8005 (3.8711)	Prec@1 17.188 (16.832)	Prec@5 41.016 (40.436)
Epoch: [33][1320/7045]	Time 0.119 (0.249)	Data 0.059 (0.183)	Loss 4.0478 (3.8713)	Prec@1 11.328 (16.830)	Prec@5 38.281 (40.437)
Epoch: [33][1330/7045]	Time 0.551 (0.249)	Data 0.499 (0.183)	Loss 3.8980 (3.8714)	Prec@1 18.750 (16.823)	Prec@5 42.578 (40.437)
Epoch: [33][1340/7045]	Time 0.167 (0.249)	Data 0.116 (0.183)	Loss 3.7240 (3.8710)	Prec@1 20.312 (16.837)	Prec@5 46.484 (40.455)
Epoch: [33][1350/7045]	Time 0.405 (0.248)	Data 0.355 (0.183)	Loss 3.7769 (3.8710)	Prec@1 16.797 (16.828)	Prec@5 43.359 (40.456)
Epoch: [33][1360/7045]	Time 0.102 (0.248)	Data 0.013 (0.183)	Loss 3.8622 (3.8712)	Prec@1 14.844 (16.826)	Prec@5 42.188 (40.456)
Epoch: [33][1370/7045]	Time 0.422 (0.248)	Data 0.370 (0.183)	Loss 3.8030 (3.8711)	Prec@1 17.188 (16.825)	Prec@5 42.188 (40.459)
Epoch: [33][1380/7045]	Time 0.111 (0.248)	Data 0.008 (0.183)	Loss 3.8663 (3.8709)	Prec@1 19.531 (16.831)	Prec@5 40.234 (40.469)
Epoch: [33][1390/7045]	Time 0.473 (0.248)	Data 0.420 (0.183)	Loss 3.5911 (3.8706)	Prec@1 19.141 (16.835)	Prec@5 48.828 (40.476)
Epoch: [33][1400/7045]	Time 0.110 (0.248)	Data 0.001 (0.183)	Loss 3.8896 (3.8705)	Prec@1 18.750 (16.841)	Prec@5 42.969 (40.480)
Epoch: [33][1410/7045]	Time 0.400 (0.248)	Data 0.348 (0.183)	Loss 3.6452 (3.8700)	Prec@1 17.188 (16.847)	Prec@5 46.875 (40.490)
Epoch: [33][1420/7045]	Time 0.154 (0.248)	Data 0.096 (0.183)	Loss 4.0039 (3.8701)	Prec@1 15.625 (16.844)	Prec@5 39.453 (40.485)
Epoch: [33][1430/7045]	Time 0.588 (0.248)	Data 0.536 (0.183)	Loss 3.9183 (3.8703)	Prec@1 15.234 (16.837)	Prec@5 38.281 (40.473)
Epoch: [33][1440/7045]	Time 0.164 (0.248)	Data 0.113 (0.183)	Loss 3.6662 (3.8702)	Prec@1 19.141 (16.841)	Prec@5 43.359 (40.475)
Epoch: [33][1450/7045]	Time 0.583 (0.248)	Data 0.524 (0.183)	Loss 3.8484 (3.8707)	Prec@1 20.703 (16.839)	Prec@5 41.797 (40.464)
Epoch: [33][1460/7045]	Time 0.101 (0.248)	Data 0.001 (0.182)	Loss 3.8991 (3.8705)	Prec@1 19.531 (16.847)	Prec@5 37.109 (40.466)
Epoch: [33][1470/7045]	Time 0.374 (0.248)	Data 0.323 (0.182)	Loss 3.8963 (3.8708)	Prec@1 16.016 (16.851)	Prec@5 37.500 (40.453)
Epoch: [33][1480/7045]	Time 0.150 (0.248)	Data 0.099 (0.182)	Loss 3.7596 (3.8710)	Prec@1 17.969 (16.853)	Prec@5 40.234 (40.447)
Epoch: [33][1490/7045]	Time 0.588 (0.248)	Data 0.538 (0.182)	Loss 3.6899 (3.8710)	Prec@1 20.703 (16.857)	Prec@5 46.875 (40.454)
Epoch: [33][1500/7045]	Time 0.100 (0.248)	Data 0.001 (0.182)	Loss 3.8543 (3.8710)	Prec@1 15.625 (16.858)	Prec@5 45.312 (40.456)
Epoch: [33][1510/7045]	Time 0.647 (0.248)	Data 0.596 (0.182)	Loss 3.7791 (3.8706)	Prec@1 17.188 (16.857)	Prec@5 44.141 (40.462)
Epoch: [33][1520/7045]	Time 0.191 (0.248)	Data 0.133 (0.182)	Loss 3.8593 (3.8707)	Prec@1 19.141 (16.855)	Prec@5 41.797 (40.463)
Epoch: [33][1530/7045]	Time 0.530 (0.248)	Data 0.478 (0.182)	Loss 4.0387 (3.8708)	Prec@1 12.891 (16.859)	Prec@5 36.328 (40.467)
Epoch: [33][1540/7045]	Time 0.108 (0.248)	Data 0.009 (0.182)	Loss 3.8731 (3.8709)	Prec@1 16.797 (16.863)	Prec@5 39.844 (40.465)
Epoch: [33][1550/7045]	Time 0.684 (0.248)	Data 0.634 (0.182)	Loss 3.7093 (3.8702)	Prec@1 19.531 (16.869)	Prec@5 48.828 (40.474)
Epoch: [33][1560/7045]	Time 0.103 (0.248)	Data 0.008 (0.182)	Loss 3.8296 (3.8702)	Prec@1 16.016 (16.873)	Prec@5 40.234 (40.475)
Epoch: [33][1570/7045]	Time 0.633 (0.248)	Data 0.574 (0.182)	Loss 3.6446 (3.8696)	Prec@1 22.656 (16.885)	Prec@5 46.094 (40.491)
Epoch: [33][1580/7045]	Time 0.107 (0.248)	Data 0.001 (0.182)	Loss 4.0045 (3.8694)	Prec@1 17.578 (16.885)	Prec@5 41.406 (40.491)
Epoch: [33][1590/7045]	Time 0.569 (0.248)	Data 0.510 (0.182)	Loss 4.0264 (3.8691)	Prec@1 13.672 (16.887)	Prec@5 35.547 (40.504)
Epoch: [33][1600/7045]	Time 0.101 (0.248)	Data 0.001 (0.182)	Loss 3.9978 (3.8687)	Prec@1 14.453 (16.884)	Prec@5 37.500 (40.511)
Epoch: [33][1610/7045]	Time 0.711 (0.248)	Data 0.657 (0.182)	Loss 4.1608 (3.8686)	Prec@1 11.328 (16.885)	Prec@5 35.547 (40.516)
Epoch: [33][1620/7045]	Time 0.105 (0.248)	Data 0.048 (0.182)	Loss 3.7969 (3.8682)	Prec@1 17.188 (16.898)	Prec@5 43.359 (40.527)
Epoch: [33][1630/7045]	Time 0.551 (0.248)	Data 0.491 (0.182)	Loss 3.7777 (3.8681)	Prec@1 17.969 (16.904)	Prec@5 41.797 (40.530)
Epoch: [33][1640/7045]	Time 0.237 (0.248)	Data 0.186 (0.182)	Loss 3.8334 (3.8682)	Prec@1 15.625 (16.904)	Prec@5 40.625 (40.528)
Epoch: [33][1650/7045]	Time 0.490 (0.248)	Data 0.438 (0.182)	Loss 3.7274 (3.8681)	Prec@1 19.922 (16.912)	Prec@5 46.094 (40.534)
Epoch: [33][1660/7045]	Time 0.100 (0.248)	Data 0.047 (0.182)	Loss 3.8183 (3.8682)	Prec@1 17.969 (16.914)	Prec@5 42.969 (40.531)
Epoch: [33][1670/7045]	Time 0.210 (0.248)	Data 0.159 (0.182)	Loss 3.9285 (3.8680)	Prec@1 12.891 (16.910)	Prec@5 37.891 (40.530)
Epoch: [33][1680/7045]	Time 0.101 (0.248)	Data 0.010 (0.182)	Loss 3.9169 (3.8677)	Prec@1 18.750 (16.918)	Prec@5 37.891 (40.531)
Epoch: [33][1690/7045]	Time 0.119 (0.248)	Data 0.062 (0.182)	Loss 3.7816 (3.8675)	Prec@1 19.141 (16.919)	Prec@5 43.359 (40.532)
Epoch: [33][1700/7045]	Time 0.253 (0.248)	Data 0.196 (0.182)	Loss 3.9706 (3.8675)	Prec@1 19.141 (16.926)	Prec@5 38.281 (40.538)
Epoch: [33][1710/7045]	Time 0.101 (0.248)	Data 0.001 (0.182)	Loss 3.7120 (3.8676)	Prec@1 17.969 (16.931)	Prec@5 43.750 (40.539)
Epoch: [33][1720/7045]	Time 0.228 (0.248)	Data 0.176 (0.182)	Loss 3.9316 (3.8673)	Prec@1 18.359 (16.939)	Prec@5 37.109 (40.543)
Epoch: [33][1730/7045]	Time 0.263 (0.248)	Data 0.212 (0.182)	Loss 4.0237 (3.8671)	Prec@1 17.969 (16.942)	Prec@5 37.891 (40.547)
Epoch: [33][1740/7045]	Time 0.110 (0.248)	Data 0.019 (0.182)	Loss 3.8870 (3.8670)	Prec@1 17.578 (16.949)	Prec@5 42.969 (40.552)
Epoch: [33][1750/7045]	Time 0.141 (0.248)	Data 0.089 (0.182)	Loss 3.6529 (3.8667)	Prec@1 19.922 (16.953)	Prec@5 42.969 (40.557)
Epoch: [33][1760/7045]	Time 0.109 (0.248)	Data 0.001 (0.182)	Loss 3.8966 (3.8672)	Prec@1 15.625 (16.943)	Prec@5 44.922 (40.547)
Epoch: [33][1770/7045]	Time 0.100 (0.248)	Data 0.002 (0.182)	Loss 3.9883 (3.8671)	Prec@1 12.891 (16.940)	Prec@5 37.109 (40.545)
Epoch: [33][1780/7045]	Time 0.103 (0.248)	Data 0.050 (0.182)	Loss 3.8221 (3.8670)	Prec@1 13.672 (16.945)	Prec@5 45.312 (40.552)
Epoch: [33][1790/7045]	Time 0.102 (0.248)	Data 0.001 (0.182)	Loss 3.9420 (3.8667)	Prec@1 17.969 (16.950)	Prec@5 37.891 (40.557)
Epoch: [33][1800/7045]	Time 0.110 (0.248)	Data 0.009 (0.182)	Loss 3.7695 (3.8663)	Prec@1 14.844 (16.947)	Prec@5 42.969 (40.562)
Epoch: [33][1810/7045]	Time 0.105 (0.248)	Data 0.054 (0.182)	Loss 3.9470 (3.8662)	Prec@1 13.672 (16.940)	Prec@5 40.234 (40.567)
Epoch: [33][1820/7045]	Time 0.147 (0.248)	Data 0.096 (0.182)	Loss 3.8918 (3.8661)	Prec@1 16.016 (16.942)	Prec@5 43.359 (40.578)
Epoch: [33][1830/7045]	Time 0.297 (0.248)	Data 0.246 (0.182)	Loss 3.6709 (3.8659)	Prec@1 19.922 (16.948)	Prec@5 42.969 (40.583)
Epoch: [33][1840/7045]	Time 0.199 (0.248)	Data 0.149 (0.182)	Loss 3.6968 (3.8657)	Prec@1 20.703 (16.953)	Prec@5 44.922 (40.585)
Epoch: [33][1850/7045]	Time 0.556 (0.248)	Data 0.496 (0.182)	Loss 3.7423 (3.8655)	Prec@1 16.797 (16.946)	Prec@5 41.797 (40.583)
Epoch: [33][1860/7045]	Time 0.151 (0.248)	Data 0.100 (0.182)	Loss 3.7792 (3.8653)	Prec@1 16.406 (16.949)	Prec@5 41.797 (40.586)
Epoch: [33][1870/7045]	Time 0.475 (0.248)	Data 0.425 (0.182)	Loss 3.7096 (3.8651)	Prec@1 19.141 (16.950)	Prec@5 42.969 (40.588)
Epoch: [33][1880/7045]	Time 0.116 (0.248)	Data 0.063 (0.182)	Loss 3.8572 (3.8653)	Prec@1 16.797 (16.953)	Prec@5 38.281 (40.587)
Epoch: [33][1890/7045]	Time 0.547 (0.248)	Data 0.488 (0.182)	Loss 3.8137 (3.8652)	Prec@1 18.750 (16.952)	Prec@5 42.578 (40.578)
Epoch: [33][1900/7045]	Time 0.103 (0.248)	Data 0.051 (0.182)	Loss 3.7421 (3.8650)	Prec@1 19.141 (16.954)	Prec@5 43.359 (40.588)
Epoch: [33][1910/7045]	Time 0.463 (0.248)	Data 0.411 (0.182)	Loss 3.9379 (3.8652)	Prec@1 15.234 (16.951)	Prec@5 39.453 (40.589)
Epoch: [33][1920/7045]	Time 0.213 (0.248)	Data 0.162 (0.182)	Loss 3.8419 (3.8651)	Prec@1 17.578 (16.945)	Prec@5 37.109 (40.588)
Epoch: [33][1930/7045]	Time 0.303 (0.248)	Data 0.245 (0.182)	Loss 4.0692 (3.8653)	Prec@1 12.109 (16.935)	Prec@5 34.375 (40.578)
Epoch: [33][1940/7045]	Time 0.598 (0.248)	Data 0.542 (0.183)	Loss 3.7671 (3.8652)	Prec@1 22.266 (16.943)	Prec@5 45.703 (40.577)
Epoch: [33][1950/7045]	Time 0.102 (0.248)	Data 0.015 (0.182)	Loss 3.7665 (3.8651)	Prec@1 19.922 (16.944)	Prec@5 39.453 (40.576)
Epoch: [33][1960/7045]	Time 0.707 (0.248)	Data 0.646 (0.183)	Loss 3.7227 (3.8650)	Prec@1 19.922 (16.946)	Prec@5 45.703 (40.579)
Epoch: [33][1970/7045]	Time 0.154 (0.248)	Data 0.103 (0.182)	Loss 3.7124 (3.8649)	Prec@1 21.484 (16.950)	Prec@5 44.531 (40.576)
Epoch: [33][1980/7045]	Time 0.636 (0.248)	Data 0.578 (0.182)	Loss 4.0613 (3.8651)	Prec@1 16.406 (16.949)	Prec@5 41.016 (40.574)
Epoch: [33][1990/7045]	Time 0.099 (0.248)	Data 0.001 (0.182)	Loss 3.8875 (3.8649)	Prec@1 19.141 (16.954)	Prec@5 41.016 (40.581)
Epoch: [33][2000/7045]	Time 0.601 (0.248)	Data 0.550 (0.182)	Loss 3.8586 (3.8647)	Prec@1 17.188 (16.959)	Prec@5 40.234 (40.584)
Epoch: [33][2010/7045]	Time 0.118 (0.248)	Data 0.058 (0.182)	Loss 3.9616 (3.8646)	Prec@1 17.188 (16.960)	Prec@5 39.844 (40.593)
Epoch: [33][2020/7045]	Time 0.507 (0.248)	Data 0.456 (0.182)	Loss 3.7708 (3.8645)	Prec@1 15.625 (16.957)	Prec@5 41.406 (40.592)
Epoch: [33][2030/7045]	Time 0.178 (0.248)	Data 0.127 (0.182)	Loss 3.8828 (3.8641)	Prec@1 16.406 (16.959)	Prec@5 39.844 (40.600)
Epoch: [33][2040/7045]	Time 0.444 (0.248)	Data 0.385 (0.182)	Loss 3.7175 (3.8640)	Prec@1 18.750 (16.964)	Prec@5 45.312 (40.601)
Epoch: [33][2050/7045]	Time 0.121 (0.248)	Data 0.069 (0.182)	Loss 3.7711 (3.8644)	Prec@1 21.094 (16.959)	Prec@5 41.797 (40.590)
Epoch: [33][2060/7045]	Time 0.371 (0.248)	Data 0.319 (0.182)	Loss 3.7804 (3.8642)	Prec@1 17.188 (16.960)	Prec@5 41.797 (40.595)
Epoch: [33][2070/7045]	Time 0.123 (0.248)	Data 0.071 (0.182)	Loss 3.9969 (3.8641)	Prec@1 14.062 (16.962)	Prec@5 37.891 (40.594)
Epoch: [33][2080/7045]	Time 0.141 (0.248)	Data 0.081 (0.182)	Loss 3.9174 (3.8641)	Prec@1 16.406 (16.963)	Prec@5 37.109 (40.587)
Epoch: [33][2090/7045]	Time 0.101 (0.248)	Data 0.001 (0.182)	Loss 3.7768 (3.8638)	Prec@1 18.750 (16.969)	Prec@5 42.188 (40.593)
Epoch: [33][2100/7045]	Time 0.241 (0.248)	Data 0.182 (0.182)	Loss 3.7584 (3.8639)	Prec@1 17.578 (16.964)	Prec@5 39.453 (40.587)
Epoch: [33][2110/7045]	Time 0.103 (0.248)	Data 0.018 (0.182)	Loss 3.9487 (3.8637)	Prec@1 17.969 (16.972)	Prec@5 38.281 (40.592)
Epoch: [33][2120/7045]	Time 0.201 (0.248)	Data 0.149 (0.182)	Loss 3.7968 (3.8634)	Prec@1 20.312 (16.977)	Prec@5 41.406 (40.594)
Epoch: [33][2130/7045]	Time 0.575 (0.248)	Data 0.523 (0.182)	Loss 3.8422 (3.8632)	Prec@1 17.188 (16.977)	Prec@5 39.062 (40.597)
Epoch: [33][2140/7045]	Time 0.109 (0.248)	Data 0.001 (0.182)	Loss 3.8549 (3.8632)	Prec@1 17.188 (16.979)	Prec@5 41.406 (40.602)
Epoch: [33][2150/7045]	Time 0.560 (0.248)	Data 0.508 (0.182)	Loss 3.9605 (3.8631)	Prec@1 15.625 (16.975)	Prec@5 40.625 (40.608)
Epoch: [33][2160/7045]	Time 0.107 (0.248)	Data 0.055 (0.182)	Loss 3.9397 (3.8629)	Prec@1 15.234 (16.978)	Prec@5 38.281 (40.613)
Epoch: [33][2170/7045]	Time 0.507 (0.248)	Data 0.455 (0.182)	Loss 3.7568 (3.8625)	Prec@1 16.797 (16.980)	Prec@5 44.141 (40.619)
Epoch: [33][2180/7045]	Time 0.110 (0.248)	Data 0.044 (0.182)	Loss 3.7955 (3.8624)	Prec@1 13.672 (16.977)	Prec@5 41.016 (40.620)
Epoch: [33][2190/7045]	Time 0.626 (0.248)	Data 0.573 (0.182)	Loss 3.7612 (3.8626)	Prec@1 18.359 (16.973)	Prec@5 41.797 (40.616)
Epoch: [33][2200/7045]	Time 0.110 (0.248)	Data 0.016 (0.182)	Loss 3.8421 (3.8625)	Prec@1 14.453 (16.971)	Prec@5 41.406 (40.618)
Epoch: [33][2210/7045]	Time 0.347 (0.248)	Data 0.295 (0.182)	Loss 3.9326 (3.8622)	Prec@1 17.188 (16.978)	Prec@5 41.406 (40.624)
Epoch: [33][2220/7045]	Time 0.102 (0.248)	Data 0.001 (0.182)	Loss 3.8975 (3.8622)	Prec@1 15.625 (16.972)	Prec@5 38.281 (40.621)
Epoch: [33][2230/7045]	Time 0.425 (0.248)	Data 0.373 (0.182)	Loss 3.8642 (3.8621)	Prec@1 17.969 (16.976)	Prec@5 41.797 (40.623)
Epoch: [33][2240/7045]	Time 0.100 (0.248)	Data 0.013 (0.182)	Loss 3.9022 (3.8621)	Prec@1 17.188 (16.976)	Prec@5 38.672 (40.620)
Epoch: [33][2250/7045]	Time 0.702 (0.248)	Data 0.643 (0.182)	Loss 3.8367 (3.8622)	Prec@1 19.141 (16.974)	Prec@5 41.016 (40.618)
Epoch: [33][2260/7045]	Time 0.108 (0.247)	Data 0.055 (0.182)	Loss 3.8977 (3.8625)	Prec@1 15.625 (16.970)	Prec@5 40.234 (40.613)
Epoch: [33][2270/7045]	Time 0.415 (0.248)	Data 0.354 (0.182)	Loss 3.7405 (3.8623)	Prec@1 18.359 (16.975)	Prec@5 43.359 (40.617)
Epoch: [33][2280/7045]	Time 0.160 (0.247)	Data 0.109 (0.182)	Loss 3.7475 (3.8622)	Prec@1 15.625 (16.972)	Prec@5 44.922 (40.617)
Epoch: [33][2290/7045]	Time 0.214 (0.248)	Data 0.162 (0.182)	Loss 3.7409 (3.8622)	Prec@1 17.188 (16.968)	Prec@5 42.969 (40.617)
Epoch: [33][2300/7045]	Time 0.260 (0.247)	Data 0.210 (0.182)	Loss 4.0312 (3.8622)	Prec@1 14.062 (16.970)	Prec@5 37.500 (40.620)
Epoch: [33][2310/7045]	Time 0.095 (0.248)	Data 0.001 (0.182)	Loss 3.9028 (3.8622)	Prec@1 16.406 (16.969)	Prec@5 37.891 (40.617)
Epoch: [33][2320/7045]	Time 0.102 (0.247)	Data 0.001 (0.182)	Loss 3.9052 (3.8618)	Prec@1 16.797 (16.975)	Prec@5 42.969 (40.630)
Epoch: [33][2330/7045]	Time 0.124 (0.248)	Data 0.064 (0.182)	Loss 3.8901 (3.8615)	Prec@1 16.406 (16.976)	Prec@5 42.188 (40.637)
Epoch: [33][2340/7045]	Time 0.113 (0.247)	Data 0.061 (0.182)	Loss 3.6860 (3.8612)	Prec@1 22.266 (16.980)	Prec@5 45.703 (40.643)
Epoch: [33][2350/7045]	Time 0.102 (0.248)	Data 0.016 (0.182)	Loss 3.8799 (3.8613)	Prec@1 17.188 (16.983)	Prec@5 42.969 (40.645)
Epoch: [33][2360/7045]	Time 0.225 (0.248)	Data 0.174 (0.182)	Loss 3.8055 (3.8612)	Prec@1 16.016 (16.985)	Prec@5 40.625 (40.649)
Epoch: [33][2370/7045]	Time 0.102 (0.247)	Data 0.045 (0.182)	Loss 3.6940 (3.8610)	Prec@1 21.094 (16.989)	Prec@5 44.922 (40.657)
Epoch: [33][2380/7045]	Time 0.109 (0.248)	Data 0.009 (0.182)	Loss 3.9166 (3.8608)	Prec@1 18.750 (16.991)	Prec@5 40.234 (40.660)
Epoch: [33][2390/7045]	Time 0.103 (0.248)	Data 0.001 (0.182)	Loss 3.7375 (3.8610)	Prec@1 17.188 (16.988)	Prec@5 44.531 (40.659)
Epoch: [33][2400/7045]	Time 0.458 (0.248)	Data 0.398 (0.182)	Loss 3.7865 (3.8611)	Prec@1 19.141 (16.990)	Prec@5 44.922 (40.659)
Epoch: [33][2410/7045]	Time 0.105 (0.247)	Data 0.051 (0.182)	Loss 3.6752 (3.8608)	Prec@1 16.797 (16.995)	Prec@5 42.578 (40.659)
Epoch: [33][2420/7045]	Time 0.707 (0.248)	Data 0.655 (0.182)	Loss 3.8393 (3.8607)	Prec@1 14.453 (16.995)	Prec@5 41.406 (40.665)
Epoch: [33][2430/7045]	Time 0.152 (0.247)	Data 0.100 (0.182)	Loss 4.0796 (3.8609)	Prec@1 14.062 (16.993)	Prec@5 35.938 (40.660)
Epoch: [33][2440/7045]	Time 0.286 (0.248)	Data 0.236 (0.182)	Loss 3.9035 (3.8608)	Prec@1 12.891 (16.991)	Prec@5 37.500 (40.661)
Epoch: [33][2450/7045]	Time 0.102 (0.247)	Data 0.016 (0.182)	Loss 3.7598 (3.8606)	Prec@1 18.750 (16.991)	Prec@5 41.406 (40.667)
Epoch: [33][2460/7045]	Time 0.407 (0.248)	Data 0.355 (0.182)	Loss 4.1650 (3.8605)	Prec@1 16.016 (16.990)	Prec@5 37.500 (40.668)
Epoch: [33][2470/7045]	Time 0.112 (0.247)	Data 0.060 (0.182)	Loss 3.7108 (3.8606)	Prec@1 13.672 (16.983)	Prec@5 42.188 (40.672)
Epoch: [33][2480/7045]	Time 0.562 (0.248)	Data 0.502 (0.182)	Loss 3.7539 (3.8606)	Prec@1 22.656 (16.983)	Prec@5 46.094 (40.669)
Epoch: [33][2490/7045]	Time 0.105 (0.247)	Data 0.054 (0.182)	Loss 3.6667 (3.8605)	Prec@1 19.922 (16.981)	Prec@5 41.016 (40.667)
Epoch: [33][2500/7045]	Time 0.413 (0.247)	Data 0.362 (0.182)	Loss 3.7127 (3.8603)	Prec@1 14.844 (16.978)	Prec@5 41.797 (40.665)
Epoch: [33][2510/7045]	Time 0.383 (0.247)	Data 0.325 (0.182)	Loss 3.8710 (3.8602)	Prec@1 16.406 (16.974)	Prec@5 40.625 (40.666)
Epoch: [33][2520/7045]	Time 0.323 (0.247)	Data 0.272 (0.182)	Loss 3.8160 (3.8601)	Prec@1 19.922 (16.977)	Prec@5 41.016 (40.666)
Epoch: [33][2530/7045]	Time 0.564 (0.247)	Data 0.505 (0.182)	Loss 3.7286 (3.8598)	Prec@1 19.922 (16.986)	Prec@5 44.922 (40.673)
Epoch: [33][2540/7045]	Time 0.108 (0.247)	Data 0.057 (0.182)	Loss 3.8908 (3.8597)	Prec@1 17.969 (16.985)	Prec@5 36.719 (40.675)
Epoch: [33][2550/7045]	Time 0.477 (0.247)	Data 0.425 (0.182)	Loss 3.9629 (3.8597)	Prec@1 13.672 (16.987)	Prec@5 37.500 (40.678)
Epoch: [33][2560/7045]	Time 0.101 (0.247)	Data 0.010 (0.182)	Loss 3.8109 (3.8597)	Prec@1 16.797 (16.986)	Prec@5 40.625 (40.677)
Epoch: [33][2570/7045]	Time 0.505 (0.247)	Data 0.454 (0.182)	Loss 3.9961 (3.8599)	Prec@1 14.062 (16.984)	Prec@5 38.672 (40.677)
Epoch: [33][2580/7045]	Time 0.102 (0.247)	Data 0.001 (0.182)	Loss 3.7653 (3.8598)	Prec@1 15.625 (16.984)	Prec@5 41.797 (40.680)
Epoch: [33][2590/7045]	Time 0.292 (0.247)	Data 0.235 (0.182)	Loss 3.6756 (3.8597)	Prec@1 21.094 (16.986)	Prec@5 45.703 (40.679)
Epoch: [33][2600/7045]	Time 0.101 (0.247)	Data 0.011 (0.182)	Loss 3.7706 (3.8597)	Prec@1 16.016 (16.980)	Prec@5 44.531 (40.683)
Epoch: [33][2610/7045]	Time 0.107 (0.247)	Data 0.047 (0.182)	Loss 3.7523 (3.8596)	Prec@1 20.312 (16.981)	Prec@5 44.531 (40.688)
Epoch: [33][2620/7045]	Time 0.101 (0.247)	Data 0.002 (0.182)	Loss 3.9281 (3.8596)	Prec@1 12.109 (16.978)	Prec@5 37.109 (40.687)
Epoch: [33][2630/7045]	Time 0.102 (0.247)	Data 0.006 (0.182)	Loss 3.7958 (3.8594)	Prec@1 17.578 (16.981)	Prec@5 42.188 (40.688)
Epoch: [33][2640/7045]	Time 0.102 (0.247)	Data 0.001 (0.182)	Loss 3.7002 (3.8592)	Prec@1 20.312 (16.980)	Prec@5 44.922 (40.691)
Epoch: [33][2650/7045]	Time 0.245 (0.247)	Data 0.193 (0.182)	Loss 3.9081 (3.8591)	Prec@1 16.406 (16.983)	Prec@5 39.844 (40.693)
Epoch: [33][2660/7045]	Time 0.106 (0.247)	Data 0.054 (0.182)	Loss 3.9645 (3.8592)	Prec@1 19.531 (16.985)	Prec@5 39.062 (40.693)
Epoch: [33][2670/7045]	Time 0.105 (0.247)	Data 0.053 (0.182)	Loss 3.7575 (3.8591)	Prec@1 18.750 (16.985)	Prec@5 47.266 (40.693)
Epoch: [33][2680/7045]	Time 0.119 (0.247)	Data 0.067 (0.182)	Loss 3.8856 (3.8591)	Prec@1 18.750 (16.990)	Prec@5 39.453 (40.697)
Epoch: [33][2690/7045]	Time 0.101 (0.247)	Data 0.005 (0.182)	Loss 3.6979 (3.8589)	Prec@1 20.312 (16.992)	Prec@5 42.578 (40.697)
Epoch: [33][2700/7045]	Time 0.189 (0.247)	Data 0.137 (0.182)	Loss 3.8292 (3.8587)	Prec@1 14.062 (16.995)	Prec@5 44.141 (40.702)
Epoch: [33][2710/7045]	Time 0.204 (0.247)	Data 0.153 (0.182)	Loss 3.7928 (3.8587)	Prec@1 17.578 (16.991)	Prec@5 39.844 (40.700)
Epoch: [33][2720/7045]	Time 0.143 (0.247)	Data 0.092 (0.182)	Loss 3.5718 (3.8586)	Prec@1 19.922 (16.995)	Prec@5 46.484 (40.709)
Epoch: [33][2730/7045]	Time 0.174 (0.247)	Data 0.120 (0.182)	Loss 3.8474 (3.8583)	Prec@1 18.359 (16.998)	Prec@5 41.016 (40.713)
Epoch: [33][2740/7045]	Time 0.171 (0.247)	Data 0.118 (0.182)	Loss 4.0686 (3.8584)	Prec@1 15.625 (16.995)	Prec@5 35.938 (40.713)
Epoch: [33][2750/7045]	Time 0.309 (0.247)	Data 0.255 (0.182)	Loss 3.8642 (3.8584)	Prec@1 14.062 (16.993)	Prec@5 41.016 (40.710)
Epoch: [33][2760/7045]	Time 0.129 (0.247)	Data 0.077 (0.182)	Loss 3.8093 (3.8585)	Prec@1 15.625 (16.991)	Prec@5 42.969 (40.710)
Epoch: [33][2770/7045]	Time 0.220 (0.247)	Data 0.167 (0.182)	Loss 3.9021 (3.8583)	Prec@1 15.234 (16.993)	Prec@5 41.406 (40.716)
Epoch: [33][2780/7045]	Time 0.445 (0.247)	Data 0.395 (0.182)	Loss 3.6999 (3.8582)	Prec@1 19.531 (16.994)	Prec@5 47.656 (40.719)
Epoch: [33][2790/7045]	Time 0.152 (0.247)	Data 0.100 (0.182)	Loss 3.8308 (3.8582)	Prec@1 17.188 (16.992)	Prec@5 40.625 (40.716)
Epoch: [33][2800/7045]	Time 0.282 (0.247)	Data 0.232 (0.182)	Loss 3.7999 (3.8581)	Prec@1 19.922 (16.995)	Prec@5 44.922 (40.719)
Epoch: [33][2810/7045]	Time 0.102 (0.247)	Data 0.046 (0.182)	Loss 3.9795 (3.8580)	Prec@1 12.500 (16.994)	Prec@5 35.938 (40.718)
Epoch: [33][2820/7045]	Time 0.447 (0.247)	Data 0.386 (0.182)	Loss 3.8575 (3.8579)	Prec@1 14.844 (16.996)	Prec@5 40.234 (40.718)
Epoch: [33][2830/7045]	Time 0.200 (0.247)	Data 0.149 (0.182)	Loss 3.8626 (3.8576)	Prec@1 12.891 (17.000)	Prec@5 41.406 (40.726)
Epoch: [33][2840/7045]	Time 0.497 (0.247)	Data 0.445 (0.182)	Loss 3.8985 (3.8577)	Prec@1 17.969 (17.000)	Prec@5 40.234 (40.729)
Epoch: [33][2850/7045]	Time 0.112 (0.247)	Data 0.018 (0.182)	Loss 3.7501 (3.8576)	Prec@1 16.797 (17.000)	Prec@5 41.406 (40.730)
Epoch: [33][2860/7045]	Time 0.372 (0.247)	Data 0.319 (0.182)	Loss 3.7673 (3.8576)	Prec@1 18.359 (17.002)	Prec@5 42.969 (40.728)
Epoch: [33][2870/7045]	Time 0.153 (0.247)	Data 0.102 (0.182)	Loss 3.6615 (3.8574)	Prec@1 21.875 (17.008)	Prec@5 42.578 (40.731)
Epoch: [33][2880/7045]	Time 0.250 (0.247)	Data 0.199 (0.182)	Loss 3.9850 (3.8571)	Prec@1 17.188 (17.014)	Prec@5 38.281 (40.741)
Epoch: [33][2890/7045]	Time 0.104 (0.247)	Data 0.051 (0.182)	Loss 3.7123 (3.8571)	Prec@1 22.266 (17.017)	Prec@5 43.750 (40.741)
Epoch: [33][2900/7045]	Time 0.102 (0.247)	Data 0.019 (0.182)	Loss 3.7227 (3.8569)	Prec@1 20.703 (17.020)	Prec@5 46.094 (40.747)
Epoch: [33][2910/7045]	Time 0.124 (0.247)	Data 0.073 (0.182)	Loss 3.7437 (3.8569)	Prec@1 20.312 (17.023)	Prec@5 41.016 (40.745)
Epoch: [33][2920/7045]	Time 0.203 (0.247)	Data 0.152 (0.183)	Loss 3.8766 (3.8569)	Prec@1 18.359 (17.027)	Prec@5 41.016 (40.749)
Epoch: [33][2930/7045]	Time 0.454 (0.247)	Data 0.399 (0.183)	Loss 3.9266 (3.8568)	Prec@1 19.141 (17.027)	Prec@5 42.578 (40.749)
Epoch: [33][2940/7045]	Time 0.123 (0.247)	Data 0.071 (0.183)	Loss 3.7183 (3.8569)	Prec@1 19.531 (17.026)	Prec@5 42.969 (40.751)
Epoch: [33][2950/7045]	Time 0.399 (0.247)	Data 0.347 (0.183)	Loss 3.7672 (3.8568)	Prec@1 18.359 (17.020)	Prec@5 46.484 (40.749)
Epoch: [33][2960/7045]	Time 0.260 (0.247)	Data 0.209 (0.183)	Loss 3.8659 (3.8567)	Prec@1 19.922 (17.026)	Prec@5 42.188 (40.752)
Epoch: [33][2970/7045]	Time 0.219 (0.247)	Data 0.168 (0.183)	Loss 3.8564 (3.8566)	Prec@1 15.625 (17.026)	Prec@5 39.844 (40.753)
Epoch: [33][2980/7045]	Time 0.477 (0.247)	Data 0.426 (0.183)	Loss 3.8202 (3.8565)	Prec@1 14.844 (17.024)	Prec@5 45.312 (40.756)
Epoch: [33][2990/7045]	Time 0.216 (0.247)	Data 0.165 (0.183)	Loss 3.7237 (3.8564)	Prec@1 19.922 (17.028)	Prec@5 41.016 (40.760)
Epoch: [33][3000/7045]	Time 0.150 (0.247)	Data 0.098 (0.183)	Loss 3.8013 (3.8563)	Prec@1 18.359 (17.032)	Prec@5 41.406 (40.763)
Epoch: [33][3010/7045]	Time 0.283 (0.247)	Data 0.230 (0.183)	Loss 3.9202 (3.8562)	Prec@1 15.234 (17.033)	Prec@5 42.578 (40.764)
Epoch: [33][3020/7045]	Time 0.212 (0.247)	Data 0.160 (0.183)	Loss 3.8900 (3.8563)	Prec@1 15.625 (17.031)	Prec@5 40.234 (40.761)
Epoch: [33][3030/7045]	Time 0.224 (0.247)	Data 0.171 (0.183)	Loss 3.8008 (3.8562)	Prec@1 17.188 (17.031)	Prec@5 42.969 (40.763)
Epoch: [33][3040/7045]	Time 0.098 (0.247)	Data 0.015 (0.183)	Loss 3.7646 (3.8563)	Prec@1 16.797 (17.031)	Prec@5 42.578 (40.759)
Epoch: [33][3050/7045]	Time 0.102 (0.247)	Data 0.004 (0.183)	Loss 3.8913 (3.8561)	Prec@1 18.359 (17.037)	Prec@5 41.016 (40.763)
Epoch: [33][3060/7045]	Time 0.194 (0.247)	Data 0.143 (0.183)	Loss 3.8524 (3.8561)	Prec@1 15.234 (17.035)	Prec@5 39.453 (40.763)
Epoch: [33][3070/7045]	Time 0.119 (0.247)	Data 0.068 (0.183)	Loss 3.8852 (3.8560)	Prec@1 19.531 (17.041)	Prec@5 42.578 (40.764)
Epoch: [33][3080/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 3.6222 (3.8558)	Prec@1 19.922 (17.046)	Prec@5 46.875 (40.769)
Epoch: [33][3090/7045]	Time 0.233 (0.247)	Data 0.181 (0.183)	Loss 3.8761 (3.8559)	Prec@1 16.016 (17.046)	Prec@5 39.062 (40.769)
Epoch: [33][3100/7045]	Time 0.144 (0.247)	Data 0.091 (0.183)	Loss 3.9401 (3.8556)	Prec@1 17.969 (17.050)	Prec@5 39.453 (40.776)
Epoch: [33][3110/7045]	Time 0.367 (0.247)	Data 0.316 (0.183)	Loss 3.6283 (3.8554)	Prec@1 23.047 (17.056)	Prec@5 47.266 (40.776)
Epoch: [33][3120/7045]	Time 0.108 (0.247)	Data 0.057 (0.183)	Loss 3.7968 (3.8552)	Prec@1 13.672 (17.060)	Prec@5 41.406 (40.780)
Epoch: [33][3130/7045]	Time 0.184 (0.247)	Data 0.134 (0.183)	Loss 3.6663 (3.8550)	Prec@1 19.141 (17.061)	Prec@5 47.656 (40.785)
Epoch: [33][3140/7045]	Time 0.107 (0.247)	Data 0.054 (0.183)	Loss 3.8784 (3.8549)	Prec@1 15.234 (17.062)	Prec@5 41.406 (40.788)
Epoch: [33][3150/7045]	Time 0.103 (0.247)	Data 0.016 (0.183)	Loss 3.9557 (3.8548)	Prec@1 14.844 (17.066)	Prec@5 39.844 (40.795)
Epoch: [33][3160/7045]	Time 0.112 (0.247)	Data 0.061 (0.183)	Loss 3.8300 (3.8547)	Prec@1 17.969 (17.069)	Prec@5 39.062 (40.796)
Epoch: [33][3170/7045]	Time 0.186 (0.247)	Data 0.133 (0.183)	Loss 3.6901 (3.8546)	Prec@1 22.266 (17.068)	Prec@5 47.656 (40.798)
Epoch: [33][3180/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 3.8574 (3.8548)	Prec@1 20.703 (17.065)	Prec@5 40.625 (40.794)
Epoch: [33][3190/7045]	Time 0.104 (0.247)	Data 0.046 (0.183)	Loss 3.9460 (3.8547)	Prec@1 16.406 (17.065)	Prec@5 39.453 (40.794)
Epoch: [33][3200/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 3.9282 (3.8548)	Prec@1 17.188 (17.068)	Prec@5 37.500 (40.791)
Epoch: [33][3210/7045]	Time 0.161 (0.247)	Data 0.110 (0.183)	Loss 3.9203 (3.8548)	Prec@1 18.359 (17.071)	Prec@5 40.625 (40.793)
Epoch: [33][3220/7045]	Time 0.126 (0.247)	Data 0.075 (0.182)	Loss 3.7314 (3.8549)	Prec@1 19.922 (17.070)	Prec@5 42.188 (40.787)
Epoch: [33][3230/7045]	Time 0.101 (0.247)	Data 0.005 (0.183)	Loss 3.8691 (3.8549)	Prec@1 17.969 (17.071)	Prec@5 42.578 (40.786)
Epoch: [33][3240/7045]	Time 0.101 (0.247)	Data 0.001 (0.182)	Loss 3.6946 (3.8548)	Prec@1 21.484 (17.075)	Prec@5 46.875 (40.788)
Epoch: [33][3250/7045]	Time 0.108 (0.247)	Data 0.001 (0.182)	Loss 3.7134 (3.8548)	Prec@1 21.484 (17.078)	Prec@5 44.531 (40.791)
Epoch: [33][3260/7045]	Time 0.101 (0.247)	Data 0.001 (0.182)	Loss 3.7574 (3.8547)	Prec@1 21.484 (17.078)	Prec@5 47.266 (40.793)
Epoch: [33][3270/7045]	Time 0.139 (0.247)	Data 0.087 (0.182)	Loss 3.7758 (3.8547)	Prec@1 17.188 (17.082)	Prec@5 43.359 (40.797)
Epoch: [33][3280/7045]	Time 0.102 (0.247)	Data 0.001 (0.182)	Loss 3.9110 (3.8546)	Prec@1 18.750 (17.085)	Prec@5 38.281 (40.795)
Epoch: [33][3290/7045]	Time 0.235 (0.247)	Data 0.185 (0.182)	Loss 3.5979 (3.8543)	Prec@1 17.969 (17.085)	Prec@5 43.359 (40.799)
Epoch: [33][3300/7045]	Time 0.205 (0.247)	Data 0.154 (0.182)	Loss 3.9060 (3.8542)	Prec@1 16.406 (17.089)	Prec@5 38.672 (40.800)
Epoch: [33][3310/7045]	Time 0.330 (0.247)	Data 0.277 (0.182)	Loss 3.7393 (3.8540)	Prec@1 17.969 (17.089)	Prec@5 41.406 (40.808)
Epoch: [33][3320/7045]	Time 0.403 (0.247)	Data 0.354 (0.182)	Loss 3.8773 (3.8538)	Prec@1 17.578 (17.095)	Prec@5 40.625 (40.812)
Epoch: [33][3330/7045]	Time 0.210 (0.247)	Data 0.159 (0.182)	Loss 3.7858 (3.8536)	Prec@1 17.578 (17.100)	Prec@5 36.719 (40.813)
Epoch: [33][3340/7045]	Time 0.110 (0.247)	Data 0.001 (0.182)	Loss 3.7141 (3.8536)	Prec@1 16.797 (17.101)	Prec@5 45.312 (40.816)
Epoch: [33][3350/7045]	Time 0.207 (0.247)	Data 0.157 (0.182)	Loss 3.9792 (3.8537)	Prec@1 15.625 (17.102)	Prec@5 37.109 (40.815)
Epoch: [33][3360/7045]	Time 0.101 (0.247)	Data 0.001 (0.182)	Loss 3.7963 (3.8536)	Prec@1 17.188 (17.102)	Prec@5 41.016 (40.816)
Epoch: [33][3370/7045]	Time 0.679 (0.247)	Data 0.628 (0.182)	Loss 3.9382 (3.8537)	Prec@1 17.188 (17.100)	Prec@5 36.328 (40.814)
Epoch: [33][3380/7045]	Time 0.102 (0.247)	Data 0.001 (0.182)	Loss 3.6034 (3.8535)	Prec@1 23.047 (17.105)	Prec@5 45.312 (40.817)
Epoch: [33][3390/7045]	Time 0.445 (0.247)	Data 0.395 (0.182)	Loss 3.8142 (3.8534)	Prec@1 19.531 (17.106)	Prec@5 40.625 (40.819)
Epoch: [33][3400/7045]	Time 0.220 (0.247)	Data 0.169 (0.182)	Loss 3.8921 (3.8534)	Prec@1 19.141 (17.107)	Prec@5 42.188 (40.821)
Epoch: [33][3410/7045]	Time 0.102 (0.247)	Data 0.048 (0.182)	Loss 3.6442 (3.8532)	Prec@1 21.875 (17.108)	Prec@5 42.188 (40.822)
Epoch: [33][3420/7045]	Time 0.106 (0.247)	Data 0.054 (0.182)	Loss 3.7883 (3.8530)	Prec@1 16.406 (17.111)	Prec@5 40.625 (40.826)
Epoch: [33][3430/7045]	Time 0.281 (0.247)	Data 0.223 (0.182)	Loss 3.8044 (3.8528)	Prec@1 16.016 (17.113)	Prec@5 41.016 (40.829)
Epoch: [33][3440/7045]	Time 0.101 (0.247)	Data 0.001 (0.182)	Loss 3.8932 (3.8528)	Prec@1 17.578 (17.112)	Prec@5 39.062 (40.828)
Epoch: [33][3450/7045]	Time 0.193 (0.247)	Data 0.140 (0.182)	Loss 3.8032 (3.8526)	Prec@1 16.016 (17.116)	Prec@5 41.797 (40.831)
Epoch: [33][3460/7045]	Time 0.103 (0.247)	Data 0.051 (0.182)	Loss 3.8513 (3.8523)	Prec@1 18.750 (17.122)	Prec@5 41.406 (40.837)
Epoch: [33][3470/7045]	Time 0.101 (0.247)	Data 0.005 (0.182)	Loss 3.7651 (3.8522)	Prec@1 19.141 (17.124)	Prec@5 45.312 (40.838)
Epoch: [33][3480/7045]	Time 0.200 (0.247)	Data 0.148 (0.182)	Loss 3.9446 (3.8521)	Prec@1 14.844 (17.125)	Prec@5 39.844 (40.843)
Epoch: [33][3490/7045]	Time 0.117 (0.247)	Data 0.064 (0.182)	Loss 4.1493 (3.8520)	Prec@1 17.188 (17.128)	Prec@5 36.328 (40.845)
Epoch: [33][3500/7045]	Time 0.102 (0.247)	Data 0.001 (0.182)	Loss 3.8514 (3.8519)	Prec@1 16.797 (17.128)	Prec@5 42.578 (40.846)
Epoch: [33][3510/7045]	Time 0.111 (0.247)	Data 0.059 (0.182)	Loss 3.8259 (3.8519)	Prec@1 18.359 (17.128)	Prec@5 48.438 (40.847)
Epoch: [33][3520/7045]	Time 0.373 (0.247)	Data 0.321 (0.182)	Loss 3.8650 (3.8519)	Prec@1 22.266 (17.127)	Prec@5 44.531 (40.848)
Epoch: [33][3530/7045]	Time 0.160 (0.247)	Data 0.109 (0.182)	Loss 3.8608 (3.8515)	Prec@1 16.016 (17.133)	Prec@5 40.625 (40.855)
Epoch: [33][3540/7045]	Time 0.528 (0.247)	Data 0.478 (0.182)	Loss 3.7977 (3.8516)	Prec@1 17.578 (17.133)	Prec@5 40.625 (40.853)
Epoch: [33][3550/7045]	Time 0.101 (0.247)	Data 0.049 (0.182)	Loss 3.8995 (3.8515)	Prec@1 14.844 (17.135)	Prec@5 41.016 (40.854)
Epoch: [33][3560/7045]	Time 0.467 (0.247)	Data 0.416 (0.182)	Loss 3.8945 (3.8515)	Prec@1 16.797 (17.137)	Prec@5 39.453 (40.857)
Epoch: [33][3570/7045]	Time 0.175 (0.247)	Data 0.112 (0.182)	Loss 3.9095 (3.8516)	Prec@1 12.891 (17.134)	Prec@5 41.016 (40.852)
Epoch: [33][3580/7045]	Time 0.182 (0.247)	Data 0.131 (0.182)	Loss 3.8715 (3.8516)	Prec@1 19.531 (17.137)	Prec@5 37.109 (40.853)
Epoch: [33][3590/7045]	Time 0.210 (0.247)	Data 0.158 (0.182)	Loss 3.8709 (3.8516)	Prec@1 18.359 (17.136)	Prec@5 39.062 (40.854)
Epoch: [33][3600/7045]	Time 0.248 (0.247)	Data 0.197 (0.182)	Loss 3.7552 (3.8517)	Prec@1 15.625 (17.134)	Prec@5 41.406 (40.853)
Epoch: [33][3610/7045]	Time 0.350 (0.247)	Data 0.298 (0.182)	Loss 3.9163 (3.8516)	Prec@1 18.359 (17.132)	Prec@5 39.062 (40.853)
Epoch: [33][3620/7045]	Time 0.451 (0.247)	Data 0.390 (0.182)	Loss 3.7009 (3.8514)	Prec@1 20.312 (17.133)	Prec@5 42.578 (40.857)
Epoch: [33][3630/7045]	Time 0.158 (0.247)	Data 0.105 (0.182)	Loss 3.9264 (3.8513)	Prec@1 16.797 (17.133)	Prec@5 40.234 (40.859)
Epoch: [33][3640/7045]	Time 0.677 (0.247)	Data 0.626 (0.183)	Loss 3.6548 (3.8511)	Prec@1 19.141 (17.137)	Prec@5 41.797 (40.864)
Epoch: [33][3650/7045]	Time 0.109 (0.247)	Data 0.001 (0.182)	Loss 4.0589 (3.8511)	Prec@1 13.281 (17.138)	Prec@5 35.938 (40.866)
Epoch: [33][3660/7045]	Time 0.476 (0.247)	Data 0.425 (0.182)	Loss 3.6175 (3.8509)	Prec@1 20.312 (17.143)	Prec@5 46.875 (40.872)
Epoch: [33][3670/7045]	Time 0.108 (0.247)	Data 0.056 (0.182)	Loss 3.7918 (3.8508)	Prec@1 17.188 (17.140)	Prec@5 44.922 (40.875)
Epoch: [33][3680/7045]	Time 0.241 (0.247)	Data 0.183 (0.182)	Loss 3.8799 (3.8506)	Prec@1 18.750 (17.143)	Prec@5 39.062 (40.879)
Epoch: [33][3690/7045]	Time 0.270 (0.247)	Data 0.216 (0.182)	Loss 3.7622 (3.8505)	Prec@1 20.703 (17.145)	Prec@5 44.141 (40.886)
Epoch: [33][3700/7045]	Time 0.111 (0.247)	Data 0.009 (0.182)	Loss 3.6590 (3.8503)	Prec@1 19.531 (17.149)	Prec@5 42.578 (40.890)
Epoch: [33][3710/7045]	Time 0.101 (0.247)	Data 0.001 (0.182)	Loss 3.7856 (3.8502)	Prec@1 19.141 (17.151)	Prec@5 41.797 (40.893)
Epoch: [33][3720/7045]	Time 0.109 (0.247)	Data 0.058 (0.182)	Loss 3.8172 (3.8499)	Prec@1 15.234 (17.155)	Prec@5 46.484 (40.900)
Epoch: [33][3730/7045]	Time 0.113 (0.247)	Data 0.061 (0.182)	Loss 3.6183 (3.8498)	Prec@1 21.875 (17.159)	Prec@5 48.047 (40.904)
Epoch: [33][3740/7045]	Time 0.115 (0.247)	Data 0.058 (0.182)	Loss 3.6435 (3.8497)	Prec@1 23.047 (17.161)	Prec@5 45.703 (40.906)
Epoch: [33][3750/7045]	Time 0.360 (0.247)	Data 0.308 (0.182)	Loss 3.9058 (3.8497)	Prec@1 16.016 (17.162)	Prec@5 39.844 (40.907)
Epoch: [33][3760/7045]	Time 0.101 (0.247)	Data 0.018 (0.182)	Loss 3.8208 (3.8498)	Prec@1 20.703 (17.161)	Prec@5 41.406 (40.907)
Epoch: [33][3770/7045]	Time 0.260 (0.247)	Data 0.209 (0.183)	Loss 3.7403 (3.8496)	Prec@1 19.141 (17.165)	Prec@5 47.656 (40.910)
Epoch: [33][3780/7045]	Time 0.102 (0.247)	Data 0.017 (0.183)	Loss 3.6914 (3.8495)	Prec@1 20.703 (17.168)	Prec@5 46.875 (40.914)
Epoch: [33][3790/7045]	Time 0.104 (0.247)	Data 0.052 (0.183)	Loss 3.7079 (3.8494)	Prec@1 21.484 (17.172)	Prec@5 45.703 (40.919)
Epoch: [33][3800/7045]	Time 0.236 (0.247)	Data 0.178 (0.183)	Loss 3.7160 (3.8494)	Prec@1 22.266 (17.173)	Prec@5 45.703 (40.920)
Epoch: [33][3810/7045]	Time 0.128 (0.247)	Data 0.076 (0.183)	Loss 3.6701 (3.8492)	Prec@1 18.359 (17.178)	Prec@5 45.312 (40.924)
Epoch: [33][3820/7045]	Time 0.114 (0.247)	Data 0.061 (0.183)	Loss 3.6116 (3.8488)	Prec@1 22.266 (17.183)	Prec@5 48.047 (40.932)
Epoch: [33][3830/7045]	Time 0.196 (0.247)	Data 0.145 (0.183)	Loss 3.6388 (3.8487)	Prec@1 19.531 (17.185)	Prec@5 45.312 (40.932)
Epoch: [33][3840/7045]	Time 0.134 (0.247)	Data 0.082 (0.183)	Loss 3.7166 (3.8486)	Prec@1 17.969 (17.186)	Prec@5 45.312 (40.932)
Epoch: [33][3850/7045]	Time 0.459 (0.247)	Data 0.408 (0.183)	Loss 3.8557 (3.8485)	Prec@1 19.531 (17.189)	Prec@5 41.406 (40.933)
Epoch: [33][3860/7045]	Time 0.113 (0.247)	Data 0.058 (0.183)	Loss 3.8268 (3.8486)	Prec@1 16.797 (17.187)	Prec@5 40.234 (40.932)
Epoch: [33][3870/7045]	Time 0.335 (0.247)	Data 0.283 (0.183)	Loss 3.7815 (3.8487)	Prec@1 18.359 (17.187)	Prec@5 41.016 (40.931)
Epoch: [33][3880/7045]	Time 0.102 (0.247)	Data 0.010 (0.183)	Loss 3.7972 (3.8485)	Prec@1 20.703 (17.189)	Prec@5 41.406 (40.931)
Epoch: [33][3890/7045]	Time 0.371 (0.247)	Data 0.317 (0.183)	Loss 3.7651 (3.8484)	Prec@1 16.016 (17.188)	Prec@5 41.016 (40.931)
Epoch: [33][3900/7045]	Time 0.104 (0.247)	Data 0.046 (0.183)	Loss 3.8299 (3.8484)	Prec@1 16.406 (17.188)	Prec@5 40.625 (40.932)
Epoch: [33][3910/7045]	Time 0.111 (0.247)	Data 0.059 (0.183)	Loss 3.9153 (3.8482)	Prec@1 17.578 (17.188)	Prec@5 38.281 (40.936)
Epoch: [33][3920/7045]	Time 0.199 (0.247)	Data 0.145 (0.183)	Loss 3.7675 (3.8480)	Prec@1 17.969 (17.192)	Prec@5 44.922 (40.939)
Epoch: [33][3930/7045]	Time 0.102 (0.247)	Data 0.011 (0.183)	Loss 3.7543 (3.8478)	Prec@1 17.969 (17.194)	Prec@5 42.188 (40.944)
Epoch: [33][3940/7045]	Time 0.324 (0.247)	Data 0.272 (0.183)	Loss 4.2892 (3.8480)	Prec@1 14.062 (17.190)	Prec@5 32.422 (40.939)
Epoch: [33][3950/7045]	Time 0.103 (0.247)	Data 0.051 (0.183)	Loss 3.6798 (3.8479)	Prec@1 17.969 (17.191)	Prec@5 44.531 (40.943)
Epoch: [33][3960/7045]	Time 0.101 (0.247)	Data 0.007 (0.183)	Loss 3.9085 (3.8479)	Prec@1 18.750 (17.193)	Prec@5 38.281 (40.945)
Epoch: [33][3970/7045]	Time 0.223 (0.247)	Data 0.172 (0.183)	Loss 3.8545 (3.8479)	Prec@1 16.406 (17.197)	Prec@5 44.922 (40.946)
Epoch: [33][3980/7045]	Time 0.132 (0.247)	Data 0.081 (0.183)	Loss 3.9355 (3.8479)	Prec@1 15.234 (17.195)	Prec@5 40.234 (40.943)
Epoch: [33][3990/7045]	Time 0.268 (0.247)	Data 0.216 (0.183)	Loss 3.7128 (3.8477)	Prec@1 18.750 (17.198)	Prec@5 45.312 (40.946)
Epoch: [33][4000/7045]	Time 0.101 (0.247)	Data 0.001 (0.183)	Loss 3.8955 (3.8476)	Prec@1 15.234 (17.201)	Prec@5 38.672 (40.952)
Epoch: [33][4010/7045]	Time 0.410 (0.247)	Data 0.358 (0.183)	Loss 3.8226 (3.8475)	Prec@1 18.750 (17.201)	Prec@5 44.531 (40.953)
Epoch: [33][4020/7045]	Time 0.101 (0.247)	Data 0.001 (0.183)	Loss 3.9183 (3.8476)	Prec@1 15.625 (17.200)	Prec@5 38.672 (40.955)
Epoch: [33][4030/7045]	Time 0.585 (0.247)	Data 0.526 (0.183)	Loss 3.9616 (3.8475)	Prec@1 14.844 (17.199)	Prec@5 41.016 (40.959)
Epoch: [33][4040/7045]	Time 0.117 (0.247)	Data 0.064 (0.183)	Loss 3.8424 (3.8474)	Prec@1 18.359 (17.204)	Prec@5 38.281 (40.961)
Epoch: [33][4050/7045]	Time 0.724 (0.247)	Data 0.671 (0.183)	Loss 3.6749 (3.8471)	Prec@1 20.312 (17.206)	Prec@5 45.703 (40.967)
Epoch: [33][4060/7045]	Time 0.107 (0.247)	Data 0.055 (0.183)	Loss 3.6972 (3.8471)	Prec@1 19.141 (17.208)	Prec@5 42.188 (40.969)
Epoch: [33][4070/7045]	Time 0.576 (0.247)	Data 0.518 (0.183)	Loss 3.6694 (3.8470)	Prec@1 19.141 (17.208)	Prec@5 46.094 (40.970)
Epoch: [33][4080/7045]	Time 0.108 (0.247)	Data 0.001 (0.183)	Loss 3.9174 (3.8469)	Prec@1 19.141 (17.211)	Prec@5 40.625 (40.972)
Epoch: [33][4090/7045]	Time 0.248 (0.247)	Data 0.195 (0.183)	Loss 3.9043 (3.8467)	Prec@1 15.625 (17.211)	Prec@5 39.062 (40.975)
Epoch: [33][4100/7045]	Time 0.102 (0.247)	Data 0.021 (0.183)	Loss 3.9810 (3.8468)	Prec@1 16.406 (17.210)	Prec@5 40.234 (40.974)
Epoch: [33][4110/7045]	Time 0.227 (0.247)	Data 0.167 (0.183)	Loss 3.9671 (3.8467)	Prec@1 19.141 (17.212)	Prec@5 42.188 (40.975)
Epoch: [33][4120/7045]	Time 0.101 (0.247)	Data 0.002 (0.183)	Loss 3.8586 (3.8466)	Prec@1 19.922 (17.214)	Prec@5 42.969 (40.978)
Epoch: [33][4130/7045]	Time 0.102 (0.247)	Data 0.050 (0.183)	Loss 3.8320 (3.8464)	Prec@1 19.531 (17.216)	Prec@5 42.969 (40.983)
Epoch: [33][4140/7045]	Time 0.231 (0.247)	Data 0.175 (0.183)	Loss 3.8589 (3.8462)	Prec@1 15.625 (17.217)	Prec@5 39.062 (40.987)
Epoch: [33][4150/7045]	Time 0.103 (0.247)	Data 0.049 (0.183)	Loss 4.0367 (3.8463)	Prec@1 13.281 (17.217)	Prec@5 35.938 (40.987)
Epoch: [33][4160/7045]	Time 0.102 (0.247)	Data 0.018 (0.183)	Loss 3.6980 (3.8461)	Prec@1 19.141 (17.217)	Prec@5 41.406 (40.989)
Epoch: [33][4170/7045]	Time 0.100 (0.247)	Data 0.048 (0.183)	Loss 4.0125 (3.8463)	Prec@1 16.797 (17.217)	Prec@5 41.016 (40.988)
Epoch: [33][4180/7045]	Time 0.232 (0.247)	Data 0.181 (0.183)	Loss 3.9510 (3.8462)	Prec@1 19.141 (17.216)	Prec@5 35.547 (40.988)
Epoch: [33][4190/7045]	Time 0.197 (0.247)	Data 0.148 (0.183)	Loss 3.7873 (3.8460)	Prec@1 17.578 (17.219)	Prec@5 39.844 (40.991)
Epoch: [33][4200/7045]	Time 0.468 (0.247)	Data 0.417 (0.183)	Loss 3.5340 (3.8459)	Prec@1 21.484 (17.221)	Prec@5 48.438 (40.996)
Epoch: [33][4210/7045]	Time 0.102 (0.247)	Data 0.017 (0.183)	Loss 3.8883 (3.8459)	Prec@1 14.453 (17.222)	Prec@5 35.938 (40.996)
Epoch: [33][4220/7045]	Time 0.179 (0.247)	Data 0.126 (0.183)	Loss 3.8621 (3.8457)	Prec@1 18.750 (17.225)	Prec@5 44.531 (41.001)
Epoch: [33][4230/7045]	Time 0.181 (0.247)	Data 0.130 (0.183)	Loss 4.0384 (3.8455)	Prec@1 16.406 (17.229)	Prec@5 36.719 (41.003)
Epoch: [33][4240/7045]	Time 0.119 (0.247)	Data 0.068 (0.183)	Loss 3.8202 (3.8454)	Prec@1 15.234 (17.230)	Prec@5 39.453 (41.003)
Epoch: [33][4250/7045]	Time 0.453 (0.247)	Data 0.402 (0.183)	Loss 3.6529 (3.8454)	Prec@1 19.141 (17.233)	Prec@5 46.875 (41.006)
Epoch: [33][4260/7045]	Time 0.153 (0.247)	Data 0.102 (0.183)	Loss 3.6476 (3.8453)	Prec@1 17.188 (17.233)	Prec@5 46.875 (41.007)
Epoch: [33][4270/7045]	Time 0.434 (0.247)	Data 0.375 (0.183)	Loss 3.7597 (3.8451)	Prec@1 16.797 (17.231)	Prec@5 41.406 (41.010)
Epoch: [33][4280/7045]	Time 0.357 (0.247)	Data 0.307 (0.183)	Loss 3.9342 (3.8451)	Prec@1 12.109 (17.231)	Prec@5 41.016 (41.010)
Epoch: [33][4290/7045]	Time 0.291 (0.247)	Data 0.240 (0.183)	Loss 3.7113 (3.8451)	Prec@1 19.141 (17.230)	Prec@5 43.359 (41.009)
Epoch: [33][4300/7045]	Time 0.279 (0.247)	Data 0.228 (0.183)	Loss 3.8313 (3.8450)	Prec@1 16.406 (17.231)	Prec@5 39.844 (41.013)
Epoch: [33][4310/7045]	Time 0.101 (0.247)	Data 0.001 (0.183)	Loss 4.0537 (3.8451)	Prec@1 16.797 (17.231)	Prec@5 39.062 (41.012)
Epoch: [33][4320/7045]	Time 0.101 (0.247)	Data 0.001 (0.183)	Loss 3.5757 (3.8449)	Prec@1 19.922 (17.233)	Prec@5 48.438 (41.014)
Epoch: [33][4330/7045]	Time 0.183 (0.247)	Data 0.124 (0.183)	Loss 3.8269 (3.8448)	Prec@1 16.797 (17.237)	Prec@5 40.234 (41.018)
Epoch: [33][4340/7045]	Time 0.104 (0.247)	Data 0.001 (0.183)	Loss 3.6535 (3.8448)	Prec@1 16.797 (17.236)	Prec@5 41.406 (41.018)
Epoch: [33][4350/7045]	Time 0.236 (0.247)	Data 0.185 (0.183)	Loss 3.8281 (3.8448)	Prec@1 18.750 (17.237)	Prec@5 43.359 (41.019)
Epoch: [33][4360/7045]	Time 0.192 (0.247)	Data 0.141 (0.183)	Loss 3.7484 (3.8446)	Prec@1 18.750 (17.238)	Prec@5 40.625 (41.021)
Epoch: [33][4370/7045]	Time 0.126 (0.247)	Data 0.073 (0.183)	Loss 3.8125 (3.8446)	Prec@1 14.453 (17.238)	Prec@5 39.453 (41.021)
Epoch: [33][4380/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 3.7730 (3.8446)	Prec@1 17.578 (17.237)	Prec@5 42.188 (41.021)
Epoch: [33][4390/7045]	Time 0.111 (0.247)	Data 0.045 (0.183)	Loss 3.6473 (3.8444)	Prec@1 18.750 (17.238)	Prec@5 42.188 (41.025)
Epoch: [33][4400/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 3.7126 (3.8442)	Prec@1 20.312 (17.241)	Prec@5 43.359 (41.029)
Epoch: [33][4410/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 3.8882 (3.8442)	Prec@1 17.578 (17.241)	Prec@5 37.891 (41.031)
Epoch: [33][4420/7045]	Time 0.101 (0.247)	Data 0.001 (0.183)	Loss 3.8804 (3.8439)	Prec@1 14.844 (17.244)	Prec@5 38.672 (41.038)
Epoch: [33][4430/7045]	Time 0.139 (0.247)	Data 0.086 (0.183)	Loss 3.8564 (3.8439)	Prec@1 15.234 (17.244)	Prec@5 37.891 (41.038)
Epoch: [33][4440/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 3.8301 (3.8439)	Prec@1 15.625 (17.242)	Prec@5 41.016 (41.039)
Epoch: [33][4450/7045]	Time 0.121 (0.247)	Data 0.069 (0.183)	Loss 3.6776 (3.8437)	Prec@1 19.531 (17.246)	Prec@5 42.969 (41.042)
Epoch: [33][4460/7045]	Time 0.101 (0.247)	Data 0.047 (0.183)	Loss 3.7590 (3.8436)	Prec@1 19.922 (17.249)	Prec@5 44.141 (41.044)
Epoch: [33][4470/7045]	Time 0.624 (0.247)	Data 0.567 (0.183)	Loss 3.7850 (3.8435)	Prec@1 17.969 (17.251)	Prec@5 43.359 (41.046)
Epoch: [33][4480/7045]	Time 0.102 (0.247)	Data 0.002 (0.183)	Loss 3.5461 (3.8433)	Prec@1 21.875 (17.254)	Prec@5 47.656 (41.049)
Epoch: [33][4490/7045]	Time 0.496 (0.247)	Data 0.445 (0.183)	Loss 3.6600 (3.8432)	Prec@1 19.141 (17.256)	Prec@5 44.531 (41.051)
Epoch: [33][4500/7045]	Time 0.159 (0.247)	Data 0.102 (0.183)	Loss 3.7026 (3.8432)	Prec@1 19.922 (17.257)	Prec@5 46.484 (41.052)
Epoch: [33][4510/7045]	Time 0.365 (0.247)	Data 0.313 (0.183)	Loss 3.6726 (3.8431)	Prec@1 17.969 (17.257)	Prec@5 42.969 (41.052)
Epoch: [33][4520/7045]	Time 0.173 (0.247)	Data 0.122 (0.183)	Loss 3.9424 (3.8430)	Prec@1 17.969 (17.257)	Prec@5 43.750 (41.054)
Epoch: [33][4530/7045]	Time 0.382 (0.247)	Data 0.324 (0.183)	Loss 3.6542 (3.8428)	Prec@1 19.922 (17.259)	Prec@5 44.922 (41.058)
Epoch: [33][4540/7045]	Time 0.102 (0.247)	Data 0.017 (0.183)	Loss 3.6648 (3.8426)	Prec@1 20.703 (17.260)	Prec@5 40.625 (41.061)
Epoch: [33][4550/7045]	Time 0.109 (0.247)	Data 0.016 (0.183)	Loss 3.7428 (3.8424)	Prec@1 17.188 (17.262)	Prec@5 44.141 (41.064)
Epoch: [33][4560/7045]	Time 0.101 (0.247)	Data 0.001 (0.183)	Loss 3.6179 (3.8423)	Prec@1 20.703 (17.263)	Prec@5 42.188 (41.065)
Epoch: [33][4570/7045]	Time 0.111 (0.247)	Data 0.010 (0.183)	Loss 3.8875 (3.8421)	Prec@1 18.359 (17.266)	Prec@5 42.969 (41.070)
Epoch: [33][4580/7045]	Time 0.101 (0.247)	Data 0.001 (0.183)	Loss 3.6688 (3.8420)	Prec@1 18.750 (17.267)	Prec@5 42.188 (41.074)
Epoch: [33][4590/7045]	Time 0.111 (0.247)	Data 0.013 (0.183)	Loss 3.8011 (3.8419)	Prec@1 18.750 (17.269)	Prec@5 46.875 (41.076)
Epoch: [33][4600/7045]	Time 0.384 (0.247)	Data 0.333 (0.183)	Loss 3.7933 (3.8418)	Prec@1 15.625 (17.271)	Prec@5 43.750 (41.078)
Epoch: [33][4610/7045]	Time 0.101 (0.247)	Data 0.001 (0.183)	Loss 3.6322 (3.8418)	Prec@1 23.047 (17.271)	Prec@5 48.828 (41.079)
Epoch: [33][4620/7045]	Time 0.377 (0.247)	Data 0.326 (0.183)	Loss 3.6440 (3.8417)	Prec@1 19.531 (17.273)	Prec@5 43.359 (41.080)
Epoch: [33][4630/7045]	Time 0.122 (0.247)	Data 0.062 (0.183)	Loss 3.9568 (3.8416)	Prec@1 15.625 (17.274)	Prec@5 36.328 (41.084)
Epoch: [33][4640/7045]	Time 0.537 (0.247)	Data 0.486 (0.183)	Loss 3.9197 (3.8414)	Prec@1 14.844 (17.275)	Prec@5 42.578 (41.087)
Epoch: [33][4650/7045]	Time 0.106 (0.247)	Data 0.054 (0.183)	Loss 4.0321 (3.8414)	Prec@1 14.844 (17.276)	Prec@5 35.938 (41.090)
Epoch: [33][4660/7045]	Time 0.393 (0.247)	Data 0.342 (0.183)	Loss 3.8674 (3.8413)	Prec@1 16.797 (17.277)	Prec@5 37.109 (41.090)
Epoch: [33][4670/7045]	Time 0.100 (0.247)	Data 0.049 (0.183)	Loss 3.9519 (3.8412)	Prec@1 16.797 (17.279)	Prec@5 36.719 (41.090)
Epoch: [33][4680/7045]	Time 0.393 (0.247)	Data 0.342 (0.183)	Loss 3.6724 (3.8410)	Prec@1 21.094 (17.282)	Prec@5 46.094 (41.093)
Epoch: [33][4690/7045]	Time 0.131 (0.247)	Data 0.079 (0.183)	Loss 3.8091 (3.8408)	Prec@1 16.797 (17.285)	Prec@5 39.844 (41.100)
Epoch: [33][4700/7045]	Time 0.665 (0.247)	Data 0.613 (0.183)	Loss 3.7519 (3.8407)	Prec@1 17.578 (17.286)	Prec@5 41.406 (41.101)
Epoch: [33][4710/7045]	Time 0.101 (0.247)	Data 0.001 (0.182)	Loss 3.6487 (3.8406)	Prec@1 21.094 (17.287)	Prec@5 44.922 (41.102)
Epoch: [33][4720/7045]	Time 0.555 (0.247)	Data 0.502 (0.183)	Loss 3.8158 (3.8406)	Prec@1 17.969 (17.288)	Prec@5 40.625 (41.103)
Epoch: [33][4730/7045]	Time 0.100 (0.247)	Data 0.047 (0.182)	Loss 3.6769 (3.8405)	Prec@1 20.703 (17.289)	Prec@5 45.703 (41.107)
Epoch: [33][4740/7045]	Time 0.634 (0.247)	Data 0.582 (0.183)	Loss 3.7488 (3.8405)	Prec@1 16.797 (17.290)	Prec@5 44.531 (41.107)
Epoch: [33][4750/7045]	Time 0.098 (0.247)	Data 0.001 (0.182)	Loss 3.6873 (3.8404)	Prec@1 21.875 (17.292)	Prec@5 43.750 (41.110)
Epoch: [33][4760/7045]	Time 0.686 (0.247)	Data 0.629 (0.183)	Loss 3.8816 (3.8404)	Prec@1 17.578 (17.292)	Prec@5 43.359 (41.110)
Epoch: [33][4770/7045]	Time 0.158 (0.247)	Data 0.108 (0.182)	Loss 3.8323 (3.8404)	Prec@1 17.578 (17.294)	Prec@5 42.969 (41.110)
Epoch: [33][4780/7045]	Time 0.469 (0.247)	Data 0.417 (0.182)	Loss 3.8889 (3.8403)	Prec@1 16.797 (17.294)	Prec@5 37.109 (41.112)
Epoch: [33][4790/7045]	Time 0.113 (0.247)	Data 0.062 (0.182)	Loss 3.7521 (3.8403)	Prec@1 16.797 (17.296)	Prec@5 40.625 (41.113)
Epoch: [33][4800/7045]	Time 0.298 (0.247)	Data 0.239 (0.183)	Loss 3.9339 (3.8401)	Prec@1 15.234 (17.297)	Prec@5 39.844 (41.119)
Epoch: [33][4810/7045]	Time 0.390 (0.247)	Data 0.339 (0.183)	Loss 3.8588 (3.8399)	Prec@1 19.531 (17.299)	Prec@5 41.797 (41.119)
Epoch: [33][4820/7045]	Time 0.177 (0.247)	Data 0.125 (0.183)	Loss 3.7510 (3.8398)	Prec@1 17.578 (17.303)	Prec@5 42.969 (41.121)
Epoch: [33][4830/7045]	Time 0.619 (0.247)	Data 0.567 (0.183)	Loss 3.7927 (3.8397)	Prec@1 16.797 (17.306)	Prec@5 41.406 (41.126)
Epoch: [33][4840/7045]	Time 0.110 (0.247)	Data 0.059 (0.182)	Loss 3.9120 (3.8398)	Prec@1 17.188 (17.305)	Prec@5 38.281 (41.124)
Epoch: [33][4850/7045]	Time 0.654 (0.247)	Data 0.603 (0.182)	Loss 3.8907 (3.8398)	Prec@1 14.062 (17.302)	Prec@5 36.328 (41.122)
Epoch: [33][4860/7045]	Time 0.101 (0.247)	Data 0.001 (0.182)	Loss 3.7870 (3.8396)	Prec@1 20.312 (17.305)	Prec@5 41.797 (41.125)
Epoch: [33][4870/7045]	Time 0.582 (0.247)	Data 0.531 (0.182)	Loss 3.6984 (3.8395)	Prec@1 19.531 (17.306)	Prec@5 45.703 (41.128)
Epoch: [33][4880/7045]	Time 0.098 (0.247)	Data 0.001 (0.182)	Loss 3.8428 (3.8394)	Prec@1 16.797 (17.309)	Prec@5 41.406 (41.131)
Epoch: [33][4890/7045]	Time 0.515 (0.247)	Data 0.465 (0.182)	Loss 3.7683 (3.8394)	Prec@1 16.406 (17.310)	Prec@5 42.578 (41.132)
Epoch: [33][4900/7045]	Time 0.109 (0.247)	Data 0.001 (0.182)	Loss 3.9409 (3.8393)	Prec@1 14.062 (17.310)	Prec@5 38.672 (41.132)
Epoch: [33][4910/7045]	Time 0.233 (0.247)	Data 0.174 (0.182)	Loss 3.8052 (3.8393)	Prec@1 19.531 (17.311)	Prec@5 40.625 (41.132)
Epoch: [33][4920/7045]	Time 0.102 (0.247)	Data 0.001 (0.182)	Loss 3.7058 (3.8392)	Prec@1 18.359 (17.310)	Prec@5 45.312 (41.134)
Epoch: [33][4930/7045]	Time 0.113 (0.247)	Data 0.054 (0.182)	Loss 3.8205 (3.8391)	Prec@1 16.797 (17.312)	Prec@5 41.797 (41.136)
Epoch: [33][4940/7045]	Time 0.440 (0.247)	Data 0.387 (0.182)	Loss 3.7152 (3.8391)	Prec@1 19.141 (17.315)	Prec@5 43.359 (41.136)
Epoch: [33][4950/7045]	Time 0.105 (0.247)	Data 0.048 (0.182)	Loss 3.6993 (3.8391)	Prec@1 20.312 (17.314)	Prec@5 46.094 (41.137)
Epoch: [33][4960/7045]	Time 0.693 (0.247)	Data 0.643 (0.182)	Loss 3.6549 (3.8391)	Prec@1 19.141 (17.317)	Prec@5 44.531 (41.138)
Epoch: [33][4970/7045]	Time 0.101 (0.247)	Data 0.018 (0.182)	Loss 3.8080 (3.8390)	Prec@1 20.703 (17.318)	Prec@5 43.359 (41.140)
Epoch: [33][4980/7045]	Time 0.729 (0.247)	Data 0.676 (0.182)	Loss 3.7454 (3.8389)	Prec@1 16.797 (17.318)	Prec@5 43.750 (41.142)
Epoch: [33][4990/7045]	Time 0.103 (0.247)	Data 0.051 (0.182)	Loss 3.7115 (3.8388)	Prec@1 21.484 (17.319)	Prec@5 46.094 (41.146)
Epoch: [33][5000/7045]	Time 0.557 (0.247)	Data 0.507 (0.182)	Loss 3.8276 (3.8385)	Prec@1 17.578 (17.319)	Prec@5 44.531 (41.152)
Epoch: [33][5010/7045]	Time 0.215 (0.247)	Data 0.157 (0.182)	Loss 3.7471 (3.8385)	Prec@1 24.609 (17.321)	Prec@5 40.625 (41.153)
Epoch: [33][5020/7045]	Time 0.458 (0.247)	Data 0.406 (0.182)	Loss 3.7767 (3.8383)	Prec@1 16.797 (17.323)	Prec@5 42.969 (41.157)
Epoch: [33][5030/7045]	Time 0.161 (0.247)	Data 0.110 (0.182)	Loss 3.7357 (3.8383)	Prec@1 19.141 (17.324)	Prec@5 44.531 (41.158)
Epoch: [33][5040/7045]	Time 0.206 (0.247)	Data 0.145 (0.182)	Loss 3.8471 (3.8383)	Prec@1 17.969 (17.325)	Prec@5 41.406 (41.158)
Epoch: [33][5050/7045]	Time 0.102 (0.247)	Data 0.021 (0.182)	Loss 3.7986 (3.8382)	Prec@1 14.844 (17.325)	Prec@5 42.188 (41.159)
Epoch: [33][5060/7045]	Time 0.375 (0.247)	Data 0.324 (0.182)	Loss 3.5925 (3.8381)	Prec@1 19.922 (17.329)	Prec@5 49.609 (41.163)
Epoch: [33][5070/7045]	Time 0.101 (0.247)	Data 0.001 (0.182)	Loss 3.8783 (3.8380)	Prec@1 15.234 (17.331)	Prec@5 35.156 (41.164)
Epoch: [33][5080/7045]	Time 0.543 (0.247)	Data 0.492 (0.182)	Loss 3.9537 (3.8380)	Prec@1 13.672 (17.330)	Prec@5 40.234 (41.164)
Epoch: [33][5090/7045]	Time 0.101 (0.247)	Data 0.049 (0.182)	Loss 3.7540 (3.8379)	Prec@1 18.750 (17.331)	Prec@5 45.312 (41.167)
Epoch: [33][5100/7045]	Time 0.567 (0.247)	Data 0.500 (0.182)	Loss 3.6534 (3.8378)	Prec@1 16.016 (17.331)	Prec@5 44.531 (41.170)
Epoch: [33][5110/7045]	Time 0.285 (0.247)	Data 0.227 (0.182)	Loss 3.6865 (3.8376)	Prec@1 19.531 (17.331)	Prec@5 45.703 (41.175)
Epoch: [33][5120/7045]	Time 0.267 (0.247)	Data 0.216 (0.182)	Loss 3.6164 (3.8375)	Prec@1 17.578 (17.331)	Prec@5 42.969 (41.179)
Epoch: [33][5130/7045]	Time 0.338 (0.247)	Data 0.288 (0.182)	Loss 3.6379 (3.8374)	Prec@1 21.094 (17.334)	Prec@5 45.703 (41.184)
Epoch: [33][5140/7045]	Time 0.102 (0.247)	Data 0.001 (0.182)	Loss 3.8058 (3.8372)	Prec@1 18.750 (17.336)	Prec@5 44.531 (41.188)
Epoch: [33][5150/7045]	Time 0.223 (0.247)	Data 0.172 (0.182)	Loss 3.7592 (3.8373)	Prec@1 17.578 (17.336)	Prec@5 39.844 (41.188)
Epoch: [33][5160/7045]	Time 0.228 (0.247)	Data 0.176 (0.182)	Loss 3.5961 (3.8371)	Prec@1 20.312 (17.337)	Prec@5 44.531 (41.188)
Epoch: [33][5170/7045]	Time 0.381 (0.247)	Data 0.329 (0.182)	Loss 3.8177 (3.8370)	Prec@1 14.453 (17.339)	Prec@5 41.016 (41.190)
Epoch: [33][5180/7045]	Time 0.168 (0.247)	Data 0.116 (0.182)	Loss 3.7381 (3.8370)	Prec@1 17.969 (17.339)	Prec@5 40.234 (41.191)
Epoch: [33][5190/7045]	Time 0.130 (0.247)	Data 0.071 (0.182)	Loss 3.6025 (3.8368)	Prec@1 20.312 (17.341)	Prec@5 46.875 (41.195)
Epoch: [33][5200/7045]	Time 0.103 (0.247)	Data 0.052 (0.182)	Loss 3.9510 (3.8368)	Prec@1 17.578 (17.340)	Prec@5 40.234 (41.197)
Epoch: [33][5210/7045]	Time 0.111 (0.247)	Data 0.001 (0.182)	Loss 3.9093 (3.8367)	Prec@1 14.844 (17.340)	Prec@5 43.359 (41.200)
Epoch: [33][5220/7045]	Time 0.108 (0.247)	Data 0.055 (0.182)	Loss 3.8791 (3.8366)	Prec@1 14.062 (17.341)	Prec@5 37.500 (41.203)
Epoch: [33][5230/7045]	Time 0.172 (0.247)	Data 0.121 (0.182)	Loss 3.8056 (3.8367)	Prec@1 16.797 (17.340)	Prec@5 40.625 (41.202)
Epoch: [33][5240/7045]	Time 0.111 (0.247)	Data 0.001 (0.182)	Loss 3.6971 (3.8366)	Prec@1 21.875 (17.341)	Prec@5 41.406 (41.203)
Epoch: [33][5250/7045]	Time 0.112 (0.247)	Data 0.060 (0.182)	Loss 3.6386 (3.8364)	Prec@1 17.188 (17.341)	Prec@5 43.359 (41.208)
Epoch: [33][5260/7045]	Time 0.111 (0.247)	Data 0.001 (0.182)	Loss 3.8105 (3.8362)	Prec@1 18.750 (17.344)	Prec@5 44.141 (41.211)
Epoch: [33][5270/7045]	Time 0.191 (0.247)	Data 0.140 (0.182)	Loss 3.8311 (3.8360)	Prec@1 17.969 (17.347)	Prec@5 39.453 (41.216)
Epoch: [33][5280/7045]	Time 0.196 (0.247)	Data 0.143 (0.182)	Loss 3.7480 (3.8359)	Prec@1 19.141 (17.347)	Prec@5 44.531 (41.218)
Epoch: [33][5290/7045]	Time 0.102 (0.247)	Data 0.001 (0.182)	Loss 3.7550 (3.8358)	Prec@1 18.750 (17.350)	Prec@5 44.531 (41.221)
Epoch: [33][5300/7045]	Time 0.343 (0.247)	Data 0.292 (0.182)	Loss 3.6729 (3.8357)	Prec@1 19.531 (17.352)	Prec@5 44.141 (41.223)
Epoch: [33][5310/7045]	Time 0.538 (0.247)	Data 0.487 (0.182)	Loss 3.6985 (3.8356)	Prec@1 18.750 (17.353)	Prec@5 44.531 (41.227)
Epoch: [33][5320/7045]	Time 0.099 (0.247)	Data 0.001 (0.182)	Loss 3.6872 (3.8354)	Prec@1 15.625 (17.355)	Prec@5 44.531 (41.230)
Epoch: [33][5330/7045]	Time 0.711 (0.247)	Data 0.656 (0.182)	Loss 3.7421 (3.8354)	Prec@1 15.625 (17.356)	Prec@5 44.531 (41.230)
Epoch: [33][5340/7045]	Time 0.102 (0.247)	Data 0.001 (0.182)	Loss 3.7598 (3.8354)	Prec@1 21.484 (17.358)	Prec@5 42.188 (41.229)
Epoch: [33][5350/7045]	Time 0.102 (0.247)	Data 0.050 (0.182)	Loss 3.9964 (3.8353)	Prec@1 16.406 (17.358)	Prec@5 37.109 (41.231)
Epoch: [33][5360/7045]	Time 0.101 (0.247)	Data 0.001 (0.182)	Loss 3.7853 (3.8351)	Prec@1 21.484 (17.362)	Prec@5 41.797 (41.236)
Epoch: [33][5370/7045]	Time 0.111 (0.247)	Data 0.059 (0.182)	Loss 3.8905 (3.8351)	Prec@1 17.969 (17.363)	Prec@5 37.500 (41.236)
Epoch: [33][5380/7045]	Time 0.299 (0.247)	Data 0.241 (0.182)	Loss 3.6476 (3.8350)	Prec@1 21.484 (17.366)	Prec@5 44.141 (41.238)
Epoch: [33][5390/7045]	Time 0.102 (0.247)	Data 0.001 (0.182)	Loss 3.8242 (3.8348)	Prec@1 17.969 (17.367)	Prec@5 43.750 (41.241)
Epoch: [33][5400/7045]	Time 0.433 (0.247)	Data 0.382 (0.182)	Loss 3.7844 (3.8347)	Prec@1 18.359 (17.373)	Prec@5 41.406 (41.245)
Epoch: [33][5410/7045]	Time 0.197 (0.247)	Data 0.144 (0.182)	Loss 3.8854 (3.8347)	Prec@1 13.672 (17.371)	Prec@5 34.766 (41.245)
Epoch: [33][5420/7045]	Time 0.170 (0.247)	Data 0.119 (0.182)	Loss 3.9705 (3.8346)	Prec@1 17.188 (17.372)	Prec@5 37.500 (41.249)
Epoch: [33][5430/7045]	Time 0.292 (0.247)	Data 0.241 (0.182)	Loss 3.9323 (3.8345)	Prec@1 15.625 (17.372)	Prec@5 39.453 (41.251)
Epoch: [33][5440/7045]	Time 0.305 (0.247)	Data 0.241 (0.182)	Loss 3.8545 (3.8343)	Prec@1 14.453 (17.375)	Prec@5 40.234 (41.257)
Epoch: [33][5450/7045]	Time 0.170 (0.247)	Data 0.119 (0.182)	Loss 3.6482 (3.8343)	Prec@1 20.312 (17.376)	Prec@5 45.703 (41.259)
Epoch: [33][5460/7045]	Time 0.385 (0.247)	Data 0.333 (0.182)	Loss 3.6152 (3.8342)	Prec@1 17.578 (17.377)	Prec@5 48.438 (41.261)
Epoch: [33][5470/7045]	Time 0.112 (0.247)	Data 0.009 (0.182)	Loss 4.0350 (3.8342)	Prec@1 14.453 (17.378)	Prec@5 37.891 (41.261)
Epoch: [33][5480/7045]	Time 0.240 (0.247)	Data 0.189 (0.182)	Loss 3.6847 (3.8341)	Prec@1 26.172 (17.382)	Prec@5 46.094 (41.264)
Epoch: [33][5490/7045]	Time 0.193 (0.247)	Data 0.140 (0.182)	Loss 3.7639 (3.8341)	Prec@1 19.141 (17.381)	Prec@5 41.797 (41.264)
Epoch: [33][5500/7045]	Time 0.153 (0.247)	Data 0.102 (0.182)	Loss 3.7979 (3.8341)	Prec@1 16.406 (17.382)	Prec@5 42.578 (41.264)
Epoch: [33][5510/7045]	Time 0.133 (0.247)	Data 0.082 (0.182)	Loss 3.7999 (3.8342)	Prec@1 16.797 (17.381)	Prec@5 39.844 (41.262)
Epoch: [33][5520/7045]	Time 0.629 (0.247)	Data 0.579 (0.182)	Loss 3.7799 (3.8342)	Prec@1 16.797 (17.379)	Prec@5 43.750 (41.262)
Epoch: [33][5530/7045]	Time 0.100 (0.247)	Data 0.001 (0.182)	Loss 3.8792 (3.8342)	Prec@1 17.188 (17.380)	Prec@5 41.406 (41.264)
Epoch: [33][5540/7045]	Time 0.655 (0.247)	Data 0.597 (0.182)	Loss 3.7810 (3.8341)	Prec@1 16.797 (17.379)	Prec@5 40.234 (41.265)
Epoch: [33][5550/7045]	Time 0.101 (0.247)	Data 0.001 (0.182)	Loss 3.7371 (3.8341)	Prec@1 18.359 (17.379)	Prec@5 39.844 (41.266)
Epoch: [33][5560/7045]	Time 0.403 (0.247)	Data 0.352 (0.182)	Loss 3.9534 (3.8341)	Prec@1 14.453 (17.380)	Prec@5 34.766 (41.265)
Epoch: [33][5570/7045]	Time 0.102 (0.247)	Data 0.050 (0.182)	Loss 3.9155 (3.8340)	Prec@1 18.359 (17.383)	Prec@5 39.062 (41.270)
Epoch: [33][5580/7045]	Time 0.107 (0.247)	Data 0.001 (0.182)	Loss 3.6699 (3.8338)	Prec@1 16.797 (17.384)	Prec@5 41.797 (41.272)
Epoch: [33][5590/7045]	Time 0.101 (0.247)	Data 0.001 (0.182)	Loss 3.6892 (3.8336)	Prec@1 20.703 (17.388)	Prec@5 45.312 (41.277)
Epoch: [33][5600/7045]	Time 0.169 (0.247)	Data 0.118 (0.182)	Loss 3.7734 (3.8335)	Prec@1 18.359 (17.389)	Prec@5 39.844 (41.278)
Epoch: [33][5610/7045]	Time 0.110 (0.247)	Data 0.059 (0.182)	Loss 4.0595 (3.8335)	Prec@1 14.844 (17.390)	Prec@5 35.938 (41.279)
Epoch: [33][5620/7045]	Time 0.101 (0.247)	Data 0.001 (0.182)	Loss 3.7317 (3.8334)	Prec@1 19.922 (17.389)	Prec@5 37.891 (41.280)
Epoch: [33][5630/7045]	Time 0.500 (0.247)	Data 0.448 (0.182)	Loss 3.7560 (3.8332)	Prec@1 17.969 (17.392)	Prec@5 43.359 (41.285)
Epoch: [33][5640/7045]	Time 0.301 (0.247)	Data 0.250 (0.182)	Loss 3.7226 (3.8331)	Prec@1 18.359 (17.394)	Prec@5 45.312 (41.289)
Epoch: [33][5650/7045]	Time 0.409 (0.247)	Data 0.358 (0.182)	Loss 3.6926 (3.8330)	Prec@1 16.797 (17.395)	Prec@5 44.531 (41.291)
Epoch: [33][5660/7045]	Time 0.109 (0.247)	Data 0.058 (0.182)	Loss 3.5869 (3.8329)	Prec@1 21.484 (17.396)	Prec@5 44.922 (41.291)
Epoch: [33][5670/7045]	Time 0.101 (0.247)	Data 0.044 (0.182)	Loss 3.8841 (3.8329)	Prec@1 14.844 (17.394)	Prec@5 40.234 (41.290)
Epoch: [33][5680/7045]	Time 0.205 (0.247)	Data 0.145 (0.182)	Loss 3.7870 (3.8328)	Prec@1 20.312 (17.395)	Prec@5 39.453 (41.289)
Epoch: [33][5690/7045]	Time 0.268 (0.247)	Data 0.216 (0.182)	Loss 3.9031 (3.8328)	Prec@1 18.750 (17.396)	Prec@5 43.359 (41.289)
Epoch: [33][5700/7045]	Time 0.195 (0.247)	Data 0.144 (0.182)	Loss 3.5641 (3.8328)	Prec@1 24.219 (17.397)	Prec@5 49.219 (41.292)
Epoch: [33][5710/7045]	Time 0.108 (0.247)	Data 0.055 (0.182)	Loss 3.6700 (3.8326)	Prec@1 22.266 (17.399)	Prec@5 46.094 (41.295)
Epoch: [33][5720/7045]	Time 0.111 (0.247)	Data 0.058 (0.182)	Loss 3.7408 (3.8326)	Prec@1 15.625 (17.401)	Prec@5 44.141 (41.297)
Epoch: [33][5730/7045]	Time 0.101 (0.247)	Data 0.001 (0.182)	Loss 3.7178 (3.8324)	Prec@1 16.406 (17.402)	Prec@5 44.141 (41.299)
Epoch: [33][5740/7045]	Time 0.735 (0.247)	Data 0.683 (0.182)	Loss 3.7380 (3.8323)	Prec@1 19.531 (17.405)	Prec@5 44.922 (41.302)
Epoch: [33][5750/7045]	Time 0.158 (0.247)	Data 0.099 (0.182)	Loss 3.7147 (3.8323)	Prec@1 17.578 (17.406)	Prec@5 43.750 (41.302)
Epoch: [33][5760/7045]	Time 0.243 (0.247)	Data 0.184 (0.182)	Loss 3.8218 (3.8322)	Prec@1 17.578 (17.407)	Prec@5 42.578 (41.306)
Epoch: [33][5770/7045]	Time 0.449 (0.247)	Data 0.398 (0.182)	Loss 3.6295 (3.8322)	Prec@1 24.609 (17.406)	Prec@5 48.438 (41.306)
Epoch: [33][5780/7045]	Time 0.239 (0.247)	Data 0.188 (0.182)	Loss 3.7898 (3.8321)	Prec@1 16.797 (17.407)	Prec@5 41.406 (41.306)
Epoch: [33][5790/7045]	Time 0.121 (0.247)	Data 0.062 (0.182)	Loss 3.7275 (3.8320)	Prec@1 15.234 (17.408)	Prec@5 42.578 (41.308)
Epoch: [33][5800/7045]	Time 0.121 (0.247)	Data 0.070 (0.182)	Loss 3.8723 (3.8318)	Prec@1 16.406 (17.410)	Prec@5 40.625 (41.311)
Epoch: [33][5810/7045]	Time 0.186 (0.247)	Data 0.134 (0.182)	Loss 3.7468 (3.8317)	Prec@1 15.234 (17.412)	Prec@5 42.578 (41.314)
Epoch: [33][5820/7045]	Time 0.102 (0.247)	Data 0.001 (0.182)	Loss 3.8137 (3.8317)	Prec@1 16.797 (17.413)	Prec@5 43.750 (41.317)
Epoch: [33][5830/7045]	Time 0.107 (0.247)	Data 0.056 (0.182)	Loss 3.7030 (3.8316)	Prec@1 20.703 (17.413)	Prec@5 45.312 (41.318)
Epoch: [33][5840/7045]	Time 0.101 (0.247)	Data 0.001 (0.182)	Loss 3.7405 (3.8315)	Prec@1 17.969 (17.415)	Prec@5 42.969 (41.320)
Epoch: [33][5850/7045]	Time 0.102 (0.247)	Data 0.001 (0.182)	Loss 3.7862 (3.8313)	Prec@1 18.750 (17.417)	Prec@5 43.750 (41.322)
Epoch: [33][5860/7045]	Time 0.110 (0.247)	Data 0.001 (0.182)	Loss 3.7808 (3.8312)	Prec@1 21.094 (17.420)	Prec@5 44.922 (41.325)
Epoch: [33][5870/7045]	Time 0.102 (0.247)	Data 0.015 (0.182)	Loss 3.6875 (3.8311)	Prec@1 19.141 (17.423)	Prec@5 43.359 (41.327)
Epoch: [33][5880/7045]	Time 0.102 (0.247)	Data 0.001 (0.182)	Loss 3.9465 (3.8310)	Prec@1 15.234 (17.425)	Prec@5 38.672 (41.331)
Epoch: [33][5890/7045]	Time 0.250 (0.247)	Data 0.199 (0.182)	Loss 3.8527 (3.8310)	Prec@1 13.281 (17.424)	Prec@5 41.406 (41.330)
Epoch: [33][5900/7045]	Time 0.098 (0.247)	Data 0.007 (0.182)	Loss 3.7110 (3.8309)	Prec@1 18.750 (17.424)	Prec@5 43.359 (41.331)
Epoch: [33][5910/7045]	Time 0.275 (0.247)	Data 0.224 (0.182)	Loss 3.9326 (3.8308)	Prec@1 17.188 (17.425)	Prec@5 39.844 (41.333)
Epoch: [33][5920/7045]	Time 0.317 (0.247)	Data 0.256 (0.182)	Loss 3.8199 (3.8307)	Prec@1 19.922 (17.427)	Prec@5 45.312 (41.338)
Epoch: [33][5930/7045]	Time 0.102 (0.247)	Data 0.001 (0.182)	Loss 4.0289 (3.8306)	Prec@1 16.797 (17.429)	Prec@5 34.375 (41.340)
Epoch: [33][5940/7045]	Time 0.374 (0.247)	Data 0.322 (0.182)	Loss 3.9287 (3.8305)	Prec@1 16.016 (17.432)	Prec@5 38.281 (41.343)
Epoch: [33][5950/7045]	Time 0.173 (0.247)	Data 0.122 (0.182)	Loss 3.7762 (3.8303)	Prec@1 16.797 (17.437)	Prec@5 43.750 (41.348)
Epoch: [33][5960/7045]	Time 0.353 (0.247)	Data 0.301 (0.183)	Loss 3.9116 (3.8302)	Prec@1 18.359 (17.439)	Prec@5 39.844 (41.350)
Epoch: [33][5970/7045]	Time 0.103 (0.247)	Data 0.001 (0.182)	Loss 3.8933 (3.8302)	Prec@1 19.531 (17.439)	Prec@5 38.672 (41.351)
Epoch: [33][5980/7045]	Time 0.294 (0.247)	Data 0.243 (0.183)	Loss 3.6976 (3.8302)	Prec@1 22.266 (17.440)	Prec@5 46.484 (41.354)
Epoch: [33][5990/7045]	Time 0.101 (0.247)	Data 0.002 (0.182)	Loss 3.8970 (3.8301)	Prec@1 17.969 (17.442)	Prec@5 39.844 (41.356)
Epoch: [33][6000/7045]	Time 0.286 (0.247)	Data 0.235 (0.183)	Loss 3.7182 (3.8299)	Prec@1 15.625 (17.444)	Prec@5 43.359 (41.358)
Epoch: [33][6010/7045]	Time 0.101 (0.247)	Data 0.013 (0.183)	Loss 3.8416 (3.8299)	Prec@1 17.578 (17.445)	Prec@5 41.016 (41.359)
Epoch: [33][6020/7045]	Time 0.101 (0.247)	Data 0.001 (0.182)	Loss 3.7495 (3.8298)	Prec@1 16.406 (17.446)	Prec@5 40.234 (41.362)
Epoch: [33][6030/7045]	Time 0.108 (0.247)	Data 0.010 (0.183)	Loss 3.9388 (3.8298)	Prec@1 15.625 (17.447)	Prec@5 39.453 (41.362)
Epoch: [33][6040/7045]	Time 0.102 (0.247)	Data 0.019 (0.182)	Loss 3.8904 (3.8296)	Prec@1 16.016 (17.451)	Prec@5 41.797 (41.367)
Epoch: [33][6050/7045]	Time 0.432 (0.247)	Data 0.380 (0.183)	Loss 3.7398 (3.8294)	Prec@1 18.359 (17.455)	Prec@5 43.359 (41.372)
Epoch: [33][6060/7045]	Time 0.171 (0.247)	Data 0.120 (0.182)	Loss 3.7258 (3.8293)	Prec@1 16.406 (17.457)	Prec@5 41.406 (41.375)
Epoch: [33][6070/7045]	Time 0.113 (0.247)	Data 0.061 (0.183)	Loss 3.8175 (3.8292)	Prec@1 17.578 (17.460)	Prec@5 39.844 (41.377)
Epoch: [33][6080/7045]	Time 0.469 (0.247)	Data 0.417 (0.183)	Loss 3.9787 (3.8291)	Prec@1 13.281 (17.459)	Prec@5 37.891 (41.380)
Epoch: [33][6090/7045]	Time 0.111 (0.247)	Data 0.059 (0.183)	Loss 3.4748 (3.8290)	Prec@1 25.781 (17.462)	Prec@5 50.781 (41.381)
Epoch: [33][6100/7045]	Time 0.104 (0.247)	Data 0.007 (0.183)	Loss 3.5953 (3.8289)	Prec@1 22.266 (17.464)	Prec@5 44.922 (41.381)
Epoch: [33][6110/7045]	Time 0.121 (0.247)	Data 0.072 (0.183)	Loss 3.9476 (3.8288)	Prec@1 17.578 (17.466)	Prec@5 41.406 (41.384)
Epoch: [33][6120/7045]	Time 0.253 (0.247)	Data 0.203 (0.183)	Loss 3.9017 (3.8288)	Prec@1 15.234 (17.467)	Prec@5 44.922 (41.388)
Epoch: [33][6130/7045]	Time 0.117 (0.247)	Data 0.065 (0.183)	Loss 3.8376 (3.8287)	Prec@1 14.453 (17.469)	Prec@5 41.016 (41.390)
Epoch: [33][6140/7045]	Time 0.102 (0.247)	Data 0.048 (0.183)	Loss 3.7798 (3.8286)	Prec@1 17.578 (17.470)	Prec@5 42.578 (41.391)
Epoch: [33][6150/7045]	Time 0.108 (0.247)	Data 0.017 (0.183)	Loss 3.8438 (3.8286)	Prec@1 19.141 (17.471)	Prec@5 42.969 (41.392)
Epoch: [33][6160/7045]	Time 0.101 (0.247)	Data 0.001 (0.183)	Loss 3.9934 (3.8285)	Prec@1 12.891 (17.473)	Prec@5 39.844 (41.395)
Epoch: [33][6170/7045]	Time 0.161 (0.247)	Data 0.109 (0.183)	Loss 3.8728 (3.8284)	Prec@1 18.359 (17.475)	Prec@5 39.062 (41.400)
Epoch: [33][6180/7045]	Time 0.114 (0.247)	Data 0.063 (0.183)	Loss 3.8471 (3.8283)	Prec@1 13.281 (17.476)	Prec@5 39.844 (41.402)
Epoch: [33][6190/7045]	Time 0.418 (0.247)	Data 0.367 (0.183)	Loss 3.5660 (3.8282)	Prec@1 19.922 (17.477)	Prec@5 47.656 (41.403)
Epoch: [33][6200/7045]	Time 0.334 (0.247)	Data 0.282 (0.183)	Loss 3.7895 (3.8281)	Prec@1 18.750 (17.478)	Prec@5 41.406 (41.403)
Epoch: [33][6210/7045]	Time 0.182 (0.247)	Data 0.131 (0.183)	Loss 3.7130 (3.8281)	Prec@1 17.969 (17.481)	Prec@5 39.844 (41.402)
Epoch: [33][6220/7045]	Time 0.161 (0.247)	Data 0.099 (0.183)	Loss 3.8331 (3.8280)	Prec@1 19.141 (17.482)	Prec@5 40.625 (41.402)
Epoch: [33][6230/7045]	Time 0.104 (0.247)	Data 0.003 (0.183)	Loss 3.6522 (3.8280)	Prec@1 18.750 (17.484)	Prec@5 46.094 (41.403)
Epoch: [33][6240/7045]	Time 0.175 (0.247)	Data 0.114 (0.183)	Loss 3.7078 (3.8279)	Prec@1 17.578 (17.486)	Prec@5 42.969 (41.405)
Epoch: [33][6250/7045]	Time 0.361 (0.247)	Data 0.310 (0.183)	Loss 3.5897 (3.8278)	Prec@1 19.141 (17.486)	Prec@5 44.531 (41.407)
Epoch: [33][6260/7045]	Time 0.176 (0.247)	Data 0.125 (0.183)	Loss 3.7447 (3.8277)	Prec@1 19.531 (17.486)	Prec@5 42.578 (41.407)
Epoch: [33][6270/7045]	Time 0.233 (0.247)	Data 0.182 (0.183)	Loss 3.6301 (3.8277)	Prec@1 17.969 (17.487)	Prec@5 46.484 (41.408)
Epoch: [33][6280/7045]	Time 0.113 (0.247)	Data 0.062 (0.183)	Loss 3.6284 (3.8274)	Prec@1 18.750 (17.490)	Prec@5 44.531 (41.414)
Epoch: [33][6290/7045]	Time 0.252 (0.247)	Data 0.196 (0.183)	Loss 3.7944 (3.8273)	Prec@1 12.500 (17.490)	Prec@5 43.359 (41.416)
Epoch: [33][6300/7045]	Time 0.327 (0.247)	Data 0.276 (0.183)	Loss 3.9257 (3.8273)	Prec@1 17.188 (17.491)	Prec@5 38.281 (41.417)
Epoch: [33][6310/7045]	Time 0.278 (0.247)	Data 0.227 (0.183)	Loss 3.7717 (3.8273)	Prec@1 22.266 (17.490)	Prec@5 42.969 (41.417)
Epoch: [33][6320/7045]	Time 0.655 (0.247)	Data 0.605 (0.183)	Loss 3.7860 (3.8272)	Prec@1 19.531 (17.492)	Prec@5 45.312 (41.418)
Epoch: [33][6330/7045]	Time 0.138 (0.247)	Data 0.088 (0.183)	Loss 4.0721 (3.8271)	Prec@1 13.672 (17.494)	Prec@5 37.109 (41.420)
Epoch: [33][6340/7045]	Time 0.267 (0.247)	Data 0.217 (0.183)	Loss 3.8565 (3.8271)	Prec@1 18.359 (17.495)	Prec@5 42.578 (41.421)
Epoch: [33][6350/7045]	Time 0.182 (0.247)	Data 0.131 (0.183)	Loss 3.8668 (3.8269)	Prec@1 17.578 (17.496)	Prec@5 40.234 (41.426)
Epoch: [33][6360/7045]	Time 0.123 (0.247)	Data 0.072 (0.183)	Loss 3.5995 (3.8268)	Prec@1 21.094 (17.498)	Prec@5 46.875 (41.429)
Epoch: [33][6370/7045]	Time 0.479 (0.247)	Data 0.428 (0.183)	Loss 3.5877 (3.8265)	Prec@1 19.922 (17.502)	Prec@5 48.438 (41.435)
Epoch: [33][6380/7045]	Time 0.159 (0.247)	Data 0.097 (0.183)	Loss 3.6386 (3.8264)	Prec@1 19.922 (17.502)	Prec@5 46.094 (41.437)
Epoch: [33][6390/7045]	Time 0.634 (0.247)	Data 0.582 (0.183)	Loss 3.7796 (3.8263)	Prec@1 16.406 (17.505)	Prec@5 41.016 (41.438)
Epoch: [33][6400/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 3.8225 (3.8261)	Prec@1 18.750 (17.507)	Prec@5 43.750 (41.441)
Epoch: [33][6410/7045]	Time 0.529 (0.248)	Data 0.478 (0.183)	Loss 3.8079 (3.8261)	Prec@1 19.141 (17.508)	Prec@5 40.625 (41.442)
Epoch: [33][6420/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 3.8317 (3.8261)	Prec@1 17.578 (17.507)	Prec@5 40.234 (41.442)
Epoch: [33][6430/7045]	Time 0.283 (0.247)	Data 0.232 (0.183)	Loss 3.6108 (3.8259)	Prec@1 23.047 (17.510)	Prec@5 48.047 (41.444)
Epoch: [33][6440/7045]	Time 0.101 (0.247)	Data 0.001 (0.183)	Loss 3.8045 (3.8259)	Prec@1 16.797 (17.511)	Prec@5 39.062 (41.446)
Epoch: [33][6450/7045]	Time 0.255 (0.248)	Data 0.205 (0.183)	Loss 3.6217 (3.8257)	Prec@1 20.703 (17.513)	Prec@5 48.047 (41.449)
Epoch: [33][6460/7045]	Time 0.101 (0.247)	Data 0.001 (0.183)	Loss 3.9029 (3.8256)	Prec@1 16.406 (17.513)	Prec@5 38.672 (41.451)
Epoch: [33][6470/7045]	Time 0.208 (0.247)	Data 0.154 (0.183)	Loss 3.9727 (3.8257)	Prec@1 13.672 (17.513)	Prec@5 35.938 (41.450)
Epoch: [33][6480/7045]	Time 0.271 (0.247)	Data 0.220 (0.183)	Loss 3.6846 (3.8256)	Prec@1 19.922 (17.514)	Prec@5 42.969 (41.452)
Epoch: [33][6490/7045]	Time 0.112 (0.248)	Data 0.009 (0.183)	Loss 3.6143 (3.8255)	Prec@1 17.969 (17.515)	Prec@5 47.266 (41.455)
Epoch: [33][6500/7045]	Time 0.477 (0.248)	Data 0.425 (0.183)	Loss 3.8456 (3.8253)	Prec@1 17.188 (17.518)	Prec@5 41.797 (41.458)
Epoch: [33][6510/7045]	Time 0.200 (0.248)	Data 0.149 (0.183)	Loss 3.7492 (3.8253)	Prec@1 19.141 (17.519)	Prec@5 42.188 (41.460)
Epoch: [33][6520/7045]	Time 0.225 (0.248)	Data 0.173 (0.183)	Loss 3.7035 (3.8252)	Prec@1 16.797 (17.519)	Prec@5 44.141 (41.461)
Epoch: [33][6530/7045]	Time 0.432 (0.248)	Data 0.381 (0.183)	Loss 3.7958 (3.8251)	Prec@1 17.578 (17.521)	Prec@5 41.406 (41.464)
Epoch: [33][6540/7045]	Time 0.101 (0.248)	Data 0.005 (0.183)	Loss 3.9224 (3.8250)	Prec@1 15.625 (17.524)	Prec@5 42.969 (41.468)
Epoch: [33][6550/7045]	Time 0.466 (0.248)	Data 0.415 (0.183)	Loss 3.6699 (3.8248)	Prec@1 21.094 (17.527)	Prec@5 43.359 (41.471)
Epoch: [33][6560/7045]	Time 0.101 (0.248)	Data 0.001 (0.183)	Loss 3.6292 (3.8246)	Prec@1 19.922 (17.528)	Prec@5 46.094 (41.474)
Epoch: [33][6570/7045]	Time 0.150 (0.248)	Data 0.092 (0.183)	Loss 3.8992 (3.8246)	Prec@1 17.188 (17.528)	Prec@5 42.969 (41.477)
Epoch: [33][6580/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 3.7625 (3.8244)	Prec@1 19.531 (17.531)	Prec@5 44.531 (41.480)
Epoch: [33][6590/7045]	Time 0.112 (0.248)	Data 0.059 (0.183)	Loss 3.7861 (3.8244)	Prec@1 18.750 (17.532)	Prec@5 41.016 (41.481)
Epoch: [33][6600/7045]	Time 0.108 (0.248)	Data 0.056 (0.183)	Loss 3.7919 (3.8243)	Prec@1 16.797 (17.533)	Prec@5 42.188 (41.482)
Epoch: [33][6610/7045]	Time 0.101 (0.248)	Data 0.001 (0.183)	Loss 3.7358 (3.8242)	Prec@1 19.922 (17.536)	Prec@5 43.359 (41.484)
Epoch: [33][6620/7045]	Time 0.229 (0.248)	Data 0.177 (0.183)	Loss 3.9126 (3.8241)	Prec@1 10.547 (17.535)	Prec@5 37.109 (41.487)
Epoch: [33][6630/7045]	Time 0.136 (0.248)	Data 0.086 (0.183)	Loss 3.8086 (3.8240)	Prec@1 17.578 (17.538)	Prec@5 39.453 (41.486)
Epoch: [33][6640/7045]	Time 0.100 (0.248)	Data 0.027 (0.183)	Loss 3.6505 (3.8239)	Prec@1 18.750 (17.539)	Prec@5 44.922 (41.488)
Epoch: [33][6650/7045]	Time 0.548 (0.248)	Data 0.498 (0.183)	Loss 3.7481 (3.8239)	Prec@1 18.359 (17.541)	Prec@5 41.016 (41.490)
Epoch: [33][6660/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 3.7748 (3.8238)	Prec@1 16.406 (17.541)	Prec@5 43.750 (41.490)
Epoch: [33][6670/7045]	Time 0.644 (0.248)	Data 0.593 (0.183)	Loss 3.6611 (3.8237)	Prec@1 19.531 (17.541)	Prec@5 46.484 (41.493)
Epoch: [33][6680/7045]	Time 0.099 (0.248)	Data 0.001 (0.183)	Loss 3.7098 (3.8236)	Prec@1 23.438 (17.542)	Prec@5 43.750 (41.497)
Epoch: [33][6690/7045]	Time 0.110 (0.248)	Data 0.059 (0.183)	Loss 3.6599 (3.8234)	Prec@1 18.750 (17.544)	Prec@5 40.234 (41.499)
Epoch: [33][6700/7045]	Time 0.101 (0.248)	Data 0.001 (0.183)	Loss 3.7521 (3.8233)	Prec@1 17.188 (17.546)	Prec@5 41.406 (41.501)
Epoch: [33][6710/7045]	Time 0.102 (0.248)	Data 0.018 (0.183)	Loss 3.6891 (3.8232)	Prec@1 17.578 (17.548)	Prec@5 43.750 (41.502)
Epoch: [33][6720/7045]	Time 0.176 (0.248)	Data 0.124 (0.183)	Loss 3.8735 (3.8231)	Prec@1 15.234 (17.551)	Prec@5 39.453 (41.504)
Epoch: [33][6730/7045]	Time 0.107 (0.248)	Data 0.001 (0.183)	Loss 3.7061 (3.8230)	Prec@1 20.312 (17.552)	Prec@5 43.359 (41.507)
Epoch: [33][6740/7045]	Time 0.100 (0.248)	Data 0.047 (0.183)	Loss 3.7092 (3.8229)	Prec@1 22.656 (17.554)	Prec@5 45.703 (41.509)
Epoch: [33][6750/7045]	Time 0.218 (0.248)	Data 0.168 (0.183)	Loss 3.8862 (3.8228)	Prec@1 16.797 (17.556)	Prec@5 40.625 (41.512)
Epoch: [33][6760/7045]	Time 0.550 (0.248)	Data 0.499 (0.183)	Loss 3.8885 (3.8227)	Prec@1 14.062 (17.556)	Prec@5 40.234 (41.513)
Epoch: [33][6770/7045]	Time 0.103 (0.248)	Data 0.009 (0.183)	Loss 3.7949 (3.8226)	Prec@1 20.312 (17.557)	Prec@5 45.312 (41.516)
Epoch: [33][6780/7045]	Time 0.102 (0.248)	Data 0.008 (0.183)	Loss 3.4893 (3.8225)	Prec@1 20.312 (17.560)	Prec@5 51.562 (41.519)
Epoch: [33][6790/7045]	Time 0.292 (0.248)	Data 0.242 (0.183)	Loss 3.8369 (3.8225)	Prec@1 15.234 (17.562)	Prec@5 42.578 (41.520)
Epoch: [33][6800/7045]	Time 0.103 (0.248)	Data 0.001 (0.183)	Loss 4.0118 (3.8224)	Prec@1 17.188 (17.563)	Prec@5 35.938 (41.521)
Epoch: [33][6810/7045]	Time 0.603 (0.248)	Data 0.553 (0.183)	Loss 3.6736 (3.8223)	Prec@1 17.188 (17.564)	Prec@5 39.453 (41.523)
Epoch: [33][6820/7045]	Time 0.102 (0.248)	Data 0.010 (0.183)	Loss 3.7731 (3.8223)	Prec@1 19.141 (17.564)	Prec@5 41.797 (41.523)
Epoch: [33][6830/7045]	Time 0.539 (0.248)	Data 0.489 (0.183)	Loss 3.7239 (3.8222)	Prec@1 19.531 (17.564)	Prec@5 45.312 (41.524)
Epoch: [33][6840/7045]	Time 0.104 (0.248)	Data 0.052 (0.183)	Loss 3.7431 (3.8221)	Prec@1 18.750 (17.566)	Prec@5 44.922 (41.526)
Epoch: [33][6850/7045]	Time 0.110 (0.248)	Data 0.015 (0.183)	Loss 3.8488 (3.8221)	Prec@1 14.453 (17.567)	Prec@5 39.062 (41.525)
Epoch: [33][6860/7045]	Time 0.101 (0.248)	Data 0.001 (0.183)	Loss 3.7686 (3.8220)	Prec@1 17.188 (17.569)	Prec@5 40.234 (41.527)
Epoch: [33][6870/7045]	Time 0.102 (0.248)	Data 0.049 (0.183)	Loss 3.8543 (3.8219)	Prec@1 19.141 (17.573)	Prec@5 42.578 (41.529)
Epoch: [33][6880/7045]	Time 0.102 (0.248)	Data 0.019 (0.183)	Loss 4.0228 (3.8218)	Prec@1 16.016 (17.575)	Prec@5 37.891 (41.531)
Epoch: [33][6890/7045]	Time 0.169 (0.248)	Data 0.118 (0.183)	Loss 3.8994 (3.8218)	Prec@1 16.406 (17.576)	Prec@5 40.234 (41.532)
Epoch: [33][6900/7045]	Time 0.222 (0.248)	Data 0.170 (0.183)	Loss 3.8254 (3.8216)	Prec@1 16.797 (17.577)	Prec@5 44.141 (41.536)
Epoch: [33][6910/7045]	Time 0.108 (0.248)	Data 0.054 (0.183)	Loss 3.8096 (3.8215)	Prec@1 15.234 (17.579)	Prec@5 40.234 (41.539)
Epoch: [33][6920/7045]	Time 0.367 (0.248)	Data 0.306 (0.183)	Loss 3.6652 (3.8214)	Prec@1 22.266 (17.581)	Prec@5 45.703 (41.543)
Epoch: [33][6930/7045]	Time 0.130 (0.248)	Data 0.079 (0.183)	Loss 3.5821 (3.8212)	Prec@1 21.875 (17.583)	Prec@5 43.750 (41.544)
Epoch: [33][6940/7045]	Time 0.270 (0.248)	Data 0.219 (0.183)	Loss 3.6423 (3.8211)	Prec@1 17.188 (17.584)	Prec@5 44.531 (41.549)
Epoch: [33][6950/7045]	Time 0.369 (0.248)	Data 0.317 (0.183)	Loss 3.5278 (3.8210)	Prec@1 22.656 (17.585)	Prec@5 47.656 (41.550)
Epoch: [33][6960/7045]	Time 0.109 (0.248)	Data 0.048 (0.183)	Loss 3.8342 (3.8210)	Prec@1 18.359 (17.586)	Prec@5 40.234 (41.552)
Epoch: [33][6970/7045]	Time 0.146 (0.248)	Data 0.095 (0.183)	Loss 3.6923 (3.8209)	Prec@1 16.797 (17.587)	Prec@5 46.484 (41.555)
Epoch: [33][6980/7045]	Time 0.436 (0.248)	Data 0.384 (0.183)	Loss 3.5787 (3.8208)	Prec@1 22.266 (17.588)	Prec@5 49.219 (41.556)
Epoch: [33][6990/7045]	Time 0.200 (0.248)	Data 0.149 (0.183)	Loss 3.6274 (3.8207)	Prec@1 17.969 (17.590)	Prec@5 45.703 (41.559)
Epoch: [33][7000/7045]	Time 0.257 (0.248)	Data 0.204 (0.183)	Loss 3.6210 (3.8205)	Prec@1 21.875 (17.590)	Prec@5 48.047 (41.562)
Epoch: [33][7010/7045]	Time 0.101 (0.248)	Data 0.001 (0.183)	Loss 3.7070 (3.8205)	Prec@1 16.406 (17.591)	Prec@5 45.703 (41.563)
Epoch: [33][7020/7045]	Time 0.112 (0.248)	Data 0.058 (0.183)	Loss 3.7610 (3.8205)	Prec@1 18.750 (17.590)	Prec@5 43.750 (41.564)
Epoch: [33][7030/7045]	Time 0.109 (0.248)	Data 0.057 (0.183)	Loss 3.8809 (3.8204)	Prec@1 16.406 (17.592)	Prec@5 39.453 (41.566)
Epoch: [33][7040/7045]	Time 0.105 (0.248)	Data 0.000 (0.183)	Loss 3.6470 (3.8203)	Prec@1 19.922 (17.593)	Prec@5 42.188 (41.568)
Test: [0/143]	Time 1.535 (1.535)	Loss 3.2130 (3.2130)	Prec@1 30.859 (30.859)	Prec@5 52.344 (52.344)
Test: [10/143]	Time 0.073 (0.267)	Loss 3.1272 (3.2782)	Prec@1 29.688 (25.462)	Prec@5 63.672 (54.332)
Test: [20/143]	Time 0.207 (0.233)	Loss 3.3578 (3.2020)	Prec@1 25.391 (26.637)	Prec@5 53.125 (56.213)
Test: [30/143]	Time 0.049 (0.218)	Loss 3.5508 (3.2013)	Prec@1 18.750 (26.991)	Prec@5 49.219 (55.595)
Test: [40/143]	Time 0.051 (0.208)	Loss 3.9641 (3.2339)	Prec@1 6.641 (26.248)	Prec@5 28.516 (54.306)
Test: [50/143]	Time 0.068 (0.206)	Loss 3.0814 (3.2847)	Prec@1 19.922 (24.655)	Prec@5 58.984 (52.773)
Test: [60/143]	Time 0.069 (0.199)	Loss 3.6996 (3.2584)	Prec@1 14.453 (25.391)	Prec@5 50.391 (53.650)
Test: [70/143]	Time 0.123 (0.199)	Loss 3.8920 (3.2552)	Prec@1 13.281 (25.473)	Prec@5 38.672 (53.796)
Test: [80/143]	Time 0.048 (0.194)	Loss 3.2124 (3.2538)	Prec@1 25.000 (25.439)	Prec@5 57.031 (53.882)
Test: [90/143]	Time 0.171 (0.194)	Loss 3.1230 (3.2444)	Prec@1 26.172 (25.541)	Prec@5 55.469 (54.207)
Test: [100/143]	Time 0.153 (0.192)	Loss 2.6973 (3.2421)	Prec@1 39.062 (25.541)	Prec@5 71.094 (54.432)
Test: [110/143]	Time 0.267 (0.192)	Loss 3.0066 (3.2320)	Prec@1 31.250 (25.890)	Prec@5 58.594 (54.652)
Test: [120/143]	Time 0.063 (0.191)	Loss 2.6991 (3.2206)	Prec@1 41.016 (26.256)	Prec@5 69.531 (54.933)
Test: [130/143]	Time 0.143 (0.189)	Loss 2.9057 (3.2277)	Prec@1 39.062 (26.246)	Prec@5 57.031 (54.580)
Test: [140/143]	Time 0.314 (0.190)	Loss 4.1452 (3.2466)	Prec@1 12.500 (25.925)	Prec@5 28.516 (54.178)
 * Prec@1 25.978 Prec@5 54.293
Epoch: [34][0/7045]	Time 2.389 (2.389)	Data 2.331 (2.331)	Loss 3.6838 (3.6838)	Prec@1 21.484 (21.484)	Prec@5 45.703 (45.703)
Epoch: [34][10/7045]	Time 0.177 (0.432)	Data 0.118 (0.360)	Loss 3.8479 (3.7319)	Prec@1 15.625 (18.714)	Prec@5 40.625 (43.857)
Epoch: [34][20/7045]	Time 0.734 (0.362)	Data 0.674 (0.292)	Loss 3.5962 (3.7623)	Prec@1 19.141 (18.471)	Prec@5 49.219 (43.545)
Epoch: [34][30/7045]	Time 0.100 (0.322)	Data 0.001 (0.247)	Loss 3.6946 (3.7613)	Prec@1 18.359 (18.586)	Prec@5 44.141 (42.918)
Epoch: [34][40/7045]	Time 0.625 (0.305)	Data 0.575 (0.231)	Loss 3.7862 (3.7467)	Prec@1 18.359 (18.864)	Prec@5 41.797 (43.178)
Epoch: [34][50/7045]	Time 0.158 (0.290)	Data 0.107 (0.218)	Loss 3.6562 (3.7337)	Prec@1 18.359 (18.796)	Prec@5 46.094 (43.398)
Epoch: [34][60/7045]	Time 0.108 (0.285)	Data 0.008 (0.213)	Loss 3.7127 (3.7302)	Prec@1 18.750 (19.070)	Prec@5 42.969 (43.648)
Epoch: [34][70/7045]	Time 0.147 (0.280)	Data 0.095 (0.210)	Loss 3.5729 (3.7288)	Prec@1 23.047 (19.097)	Prec@5 43.750 (43.629)
Epoch: [34][80/7045]	Time 0.101 (0.277)	Data 0.001 (0.207)	Loss 3.6816 (3.7287)	Prec@1 18.750 (19.088)	Prec@5 45.703 (43.552)
Epoch: [34][90/7045]	Time 0.239 (0.278)	Data 0.187 (0.208)	Loss 3.6533 (3.7228)	Prec@1 21.875 (19.141)	Prec@5 43.750 (43.673)
Epoch: [34][100/7045]	Time 0.158 (0.272)	Data 0.107 (0.203)	Loss 3.8040 (3.7279)	Prec@1 16.797 (19.013)	Prec@5 42.578 (43.638)
Epoch: [34][110/7045]	Time 0.107 (0.270)	Data 0.056 (0.202)	Loss 3.6504 (3.7273)	Prec@1 24.609 (19.035)	Prec@5 46.094 (43.694)
Epoch: [34][120/7045]	Time 0.635 (0.270)	Data 0.584 (0.204)	Loss 3.8865 (3.7278)	Prec@1 13.672 (18.882)	Prec@5 41.406 (43.666)
Epoch: [34][130/7045]	Time 0.101 (0.266)	Data 0.012 (0.200)	Loss 3.8312 (3.7326)	Prec@1 18.359 (18.836)	Prec@5 40.234 (43.649)
Epoch: [34][140/7045]	Time 0.732 (0.268)	Data 0.680 (0.202)	Loss 3.5306 (3.7322)	Prec@1 22.656 (18.816)	Prec@5 46.484 (43.672)
Epoch: [34][150/7045]	Time 0.108 (0.265)	Data 0.001 (0.198)	Loss 3.7398 (3.7339)	Prec@1 17.969 (18.846)	Prec@5 41.016 (43.634)
Epoch: [34][160/7045]	Time 0.541 (0.265)	Data 0.490 (0.198)	Loss 3.8369 (3.7309)	Prec@1 19.531 (18.915)	Prec@5 44.531 (43.692)
Epoch: [34][170/7045]	Time 0.201 (0.264)	Data 0.150 (0.197)	Loss 3.8553 (3.7302)	Prec@1 18.750 (18.917)	Prec@5 41.406 (43.739)
Epoch: [34][180/7045]	Time 0.249 (0.262)	Data 0.197 (0.196)	Loss 3.5462 (3.7282)	Prec@1 18.750 (18.961)	Prec@5 49.219 (43.797)
Epoch: [34][190/7045]	Time 0.101 (0.262)	Data 0.001 (0.196)	Loss 3.7693 (3.7284)	Prec@1 15.234 (18.971)	Prec@5 41.797 (43.775)
Epoch: [34][200/7045]	Time 0.102 (0.261)	Data 0.027 (0.195)	Loss 3.4020 (3.7243)	Prec@1 21.875 (18.997)	Prec@5 48.828 (43.799)
Epoch: [34][210/7045]	Time 0.168 (0.261)	Data 0.117 (0.195)	Loss 3.5203 (3.7263)	Prec@1 18.750 (19.013)	Prec@5 44.141 (43.743)
Epoch: [34][220/7045]	Time 0.688 (0.262)	Data 0.637 (0.197)	Loss 3.9912 (3.7274)	Prec@1 14.844 (19.005)	Prec@5 41.016 (43.732)
Epoch: [34][230/7045]	Time 0.101 (0.261)	Data 0.001 (0.195)	Loss 3.7024 (3.7262)	Prec@1 20.312 (19.026)	Prec@5 39.062 (43.757)
Epoch: [34][240/7045]	Time 0.607 (0.261)	Data 0.557 (0.194)	Loss 3.6590 (3.7275)	Prec@1 18.750 (19.003)	Prec@5 41.406 (43.703)
Epoch: [34][250/7045]	Time 0.102 (0.260)	Data 0.001 (0.193)	Loss 3.7040 (3.7276)	Prec@1 20.703 (19.001)	Prec@5 41.406 (43.664)
Epoch: [34][260/7045]	Time 0.733 (0.261)	Data 0.681 (0.193)	Loss 3.6577 (3.7258)	Prec@1 19.531 (18.983)	Prec@5 46.484 (43.696)
Epoch: [34][270/7045]	Time 0.102 (0.259)	Data 0.001 (0.191)	Loss 3.6377 (3.7250)	Prec@1 18.750 (18.966)	Prec@5 47.266 (43.674)
Epoch: [34][280/7045]	Time 0.465 (0.259)	Data 0.414 (0.192)	Loss 3.6594 (3.7251)	Prec@1 19.922 (18.975)	Prec@5 42.969 (43.654)
Epoch: [34][290/7045]	Time 0.437 (0.259)	Data 0.386 (0.192)	Loss 3.5551 (3.7240)	Prec@1 20.312 (19.008)	Prec@5 47.656 (43.698)
Epoch: [34][300/7045]	Time 0.110 (0.259)	Data 0.001 (0.191)	Loss 3.7413 (3.7241)	Prec@1 18.359 (18.999)	Prec@5 41.797 (43.666)
Epoch: [34][310/7045]	Time 0.521 (0.259)	Data 0.463 (0.192)	Loss 3.8861 (3.7250)	Prec@1 16.406 (18.999)	Prec@5 41.016 (43.666)
Epoch: [34][320/7045]	Time 0.100 (0.258)	Data 0.046 (0.191)	Loss 3.5567 (3.7236)	Prec@1 22.656 (19.036)	Prec@5 49.609 (43.723)
Epoch: [34][330/7045]	Time 0.101 (0.258)	Data 0.001 (0.191)	Loss 3.8238 (3.7236)	Prec@1 23.828 (19.019)	Prec@5 41.797 (43.723)
Epoch: [34][340/7045]	Time 0.142 (0.257)	Data 0.091 (0.191)	Loss 3.9202 (3.7245)	Prec@1 18.359 (19.024)	Prec@5 42.969 (43.714)
Epoch: [34][350/7045]	Time 0.424 (0.258)	Data 0.374 (0.192)	Loss 3.7541 (3.7245)	Prec@1 14.453 (19.024)	Prec@5 39.844 (43.714)
Epoch: [34][360/7045]	Time 0.102 (0.258)	Data 0.010 (0.192)	Loss 3.8844 (3.7257)	Prec@1 17.578 (19.032)	Prec@5 34.375 (43.669)
Epoch: [34][370/7045]	Time 0.149 (0.257)	Data 0.098 (0.191)	Loss 3.7361 (3.7245)	Prec@1 19.922 (19.034)	Prec@5 43.750 (43.661)
Epoch: [34][380/7045]	Time 0.354 (0.258)	Data 0.303 (0.191)	Loss 3.8235 (3.7261)	Prec@1 17.578 (19.055)	Prec@5 42.188 (43.655)
Epoch: [34][390/7045]	Time 0.101 (0.257)	Data 0.002 (0.191)	Loss 3.6410 (3.7266)	Prec@1 21.094 (19.080)	Prec@5 44.141 (43.629)
Epoch: [34][400/7045]	Time 0.540 (0.257)	Data 0.489 (0.191)	Loss 3.8363 (3.7263)	Prec@1 12.891 (19.087)	Prec@5 35.547 (43.629)
Epoch: [34][410/7045]	Time 0.342 (0.257)	Data 0.291 (0.191)	Loss 3.6755 (3.7256)	Prec@1 20.703 (19.084)	Prec@5 47.656 (43.664)
Epoch: [34][420/7045]	Time 0.285 (0.256)	Data 0.232 (0.191)	Loss 3.4935 (3.7249)	Prec@1 17.969 (19.078)	Prec@5 48.047 (43.689)
Epoch: [34][430/7045]	Time 0.102 (0.256)	Data 0.005 (0.190)	Loss 3.8518 (3.7259)	Prec@1 15.625 (19.039)	Prec@5 37.891 (43.658)
Epoch: [34][440/7045]	Time 0.385 (0.256)	Data 0.334 (0.190)	Loss 3.7571 (3.7281)	Prec@1 15.234 (19.018)	Prec@5 41.406 (43.638)
Epoch: [34][450/7045]	Time 0.101 (0.256)	Data 0.010 (0.190)	Loss 3.6078 (3.7280)	Prec@1 17.969 (19.013)	Prec@5 46.875 (43.651)
Epoch: [34][460/7045]	Time 0.189 (0.256)	Data 0.138 (0.190)	Loss 3.5699 (3.7280)	Prec@1 22.266 (19.024)	Prec@5 45.312 (43.654)
Epoch: [34][470/7045]	Time 0.336 (0.256)	Data 0.275 (0.190)	Loss 3.6864 (3.7268)	Prec@1 19.922 (19.054)	Prec@5 42.578 (43.662)
Epoch: [34][480/7045]	Time 0.315 (0.256)	Data 0.263 (0.190)	Loss 3.8166 (3.7267)	Prec@1 18.750 (19.046)	Prec@5 40.625 (43.660)
Epoch: [34][490/7045]	Time 0.121 (0.255)	Data 0.062 (0.190)	Loss 3.9051 (3.7281)	Prec@1 17.969 (19.036)	Prec@5 39.844 (43.612)
Epoch: [34][500/7045]	Time 0.130 (0.255)	Data 0.078 (0.190)	Loss 3.5559 (3.7273)	Prec@1 25.391 (19.037)	Prec@5 46.094 (43.614)
Epoch: [34][510/7045]	Time 0.356 (0.255)	Data 0.304 (0.190)	Loss 3.7073 (3.7286)	Prec@1 16.406 (18.999)	Prec@5 44.141 (43.589)
Epoch: [34][520/7045]	Time 0.100 (0.255)	Data 0.048 (0.190)	Loss 3.7365 (3.7280)	Prec@1 15.234 (18.997)	Prec@5 42.188 (43.612)
Epoch: [34][530/7045]	Time 0.480 (0.255)	Data 0.431 (0.190)	Loss 3.7894 (3.7289)	Prec@1 20.312 (18.984)	Prec@5 44.531 (43.591)
Epoch: [34][540/7045]	Time 0.109 (0.254)	Data 0.055 (0.190)	Loss 3.6427 (3.7293)	Prec@1 19.141 (18.990)	Prec@5 46.484 (43.592)
Epoch: [34][550/7045]	Time 0.099 (0.254)	Data 0.012 (0.190)	Loss 3.6462 (3.7295)	Prec@1 18.750 (18.973)	Prec@5 48.047 (43.593)
Epoch: [34][560/7045]	Time 0.101 (0.254)	Data 0.026 (0.189)	Loss 3.9433 (3.7285)	Prec@1 16.797 (18.979)	Prec@5 37.891 (43.609)
Epoch: [34][570/7045]	Time 0.360 (0.255)	Data 0.309 (0.190)	Loss 3.7832 (3.7286)	Prec@1 20.312 (18.973)	Prec@5 46.875 (43.624)
Epoch: [34][580/7045]	Time 0.130 (0.254)	Data 0.080 (0.189)	Loss 3.6651 (3.7294)	Prec@1 20.703 (18.958)	Prec@5 44.922 (43.607)
Epoch: [34][590/7045]	Time 0.102 (0.254)	Data 0.001 (0.190)	Loss 3.7395 (3.7296)	Prec@1 17.188 (18.956)	Prec@5 42.969 (43.588)
Epoch: [34][600/7045]	Time 0.196 (0.254)	Data 0.146 (0.189)	Loss 3.6775 (3.7292)	Prec@1 20.312 (18.960)	Prec@5 42.969 (43.597)
Epoch: [34][610/7045]	Time 0.106 (0.254)	Data 0.005 (0.189)	Loss 3.7252 (3.7289)	Prec@1 15.625 (18.959)	Prec@5 42.969 (43.608)
Epoch: [34][620/7045]	Time 0.106 (0.253)	Data 0.055 (0.188)	Loss 3.7591 (3.7302)	Prec@1 16.797 (18.950)	Prec@5 39.844 (43.567)
Epoch: [34][630/7045]	Time 0.108 (0.253)	Data 0.017 (0.188)	Loss 3.6360 (3.7303)	Prec@1 21.094 (18.935)	Prec@5 45.312 (43.554)
Epoch: [34][640/7045]	Time 0.103 (0.253)	Data 0.051 (0.188)	Loss 3.7092 (3.7300)	Prec@1 21.094 (18.940)	Prec@5 42.188 (43.556)
Epoch: [34][650/7045]	Time 0.101 (0.253)	Data 0.026 (0.188)	Loss 3.7618 (3.7303)	Prec@1 16.797 (18.928)	Prec@5 44.141 (43.538)
Epoch: [34][660/7045]	Time 0.155 (0.253)	Data 0.103 (0.187)	Loss 3.6606 (3.7292)	Prec@1 19.922 (18.941)	Prec@5 42.969 (43.574)
Epoch: [34][670/7045]	Time 0.115 (0.253)	Data 0.063 (0.187)	Loss 3.6647 (3.7295)	Prec@1 22.656 (18.952)	Prec@5 46.484 (43.556)
Epoch: [34][680/7045]	Time 0.669 (0.253)	Data 0.618 (0.188)	Loss 3.8389 (3.7299)	Prec@1 18.359 (18.930)	Prec@5 36.719 (43.541)
Epoch: [34][690/7045]	Time 0.101 (0.253)	Data 0.001 (0.187)	Loss 3.6978 (3.7301)	Prec@1 18.359 (18.920)	Prec@5 42.188 (43.531)
Epoch: [34][700/7045]	Time 0.623 (0.253)	Data 0.562 (0.187)	Loss 3.5998 (3.7304)	Prec@1 23.047 (18.926)	Prec@5 47.266 (43.529)
Epoch: [34][710/7045]	Time 0.102 (0.253)	Data 0.001 (0.187)	Loss 3.4554 (3.7291)	Prec@1 22.656 (18.940)	Prec@5 47.656 (43.558)
Epoch: [34][720/7045]	Time 0.111 (0.253)	Data 0.017 (0.187)	Loss 3.7745 (3.7297)	Prec@1 17.188 (18.934)	Prec@5 41.406 (43.543)
Epoch: [34][730/7045]	Time 0.160 (0.252)	Data 0.109 (0.186)	Loss 3.6990 (3.7291)	Prec@1 19.141 (18.940)	Prec@5 41.016 (43.553)
Epoch: [34][740/7045]	Time 0.331 (0.253)	Data 0.280 (0.187)	Loss 3.6930 (3.7289)	Prec@1 19.922 (18.932)	Prec@5 47.266 (43.554)
Epoch: [34][750/7045]	Time 0.560 (0.253)	Data 0.508 (0.187)	Loss 3.4714 (3.7289)	Prec@1 20.312 (18.925)	Prec@5 52.344 (43.561)
Epoch: [34][760/7045]	Time 0.283 (0.253)	Data 0.231 (0.186)	Loss 3.5857 (3.7290)	Prec@1 23.828 (18.947)	Prec@5 45.703 (43.560)
Epoch: [34][770/7045]	Time 0.359 (0.253)	Data 0.307 (0.186)	Loss 3.8236 (3.7294)	Prec@1 19.922 (18.943)	Prec@5 43.359 (43.562)
Epoch: [34][780/7045]	Time 0.512 (0.253)	Data 0.462 (0.186)	Loss 3.7363 (3.7296)	Prec@1 18.750 (18.925)	Prec@5 44.141 (43.557)
Epoch: [34][790/7045]	Time 0.216 (0.252)	Data 0.166 (0.186)	Loss 3.8180 (3.7298)	Prec@1 13.281 (18.917)	Prec@5 40.625 (43.551)
Epoch: [34][800/7045]	Time 0.441 (0.252)	Data 0.391 (0.186)	Loss 3.7707 (3.7295)	Prec@1 19.531 (18.916)	Prec@5 38.281 (43.559)
Epoch: [34][810/7045]	Time 0.321 (0.252)	Data 0.270 (0.187)	Loss 3.7740 (3.7293)	Prec@1 20.703 (18.913)	Prec@5 41.016 (43.558)
Epoch: [34][820/7045]	Time 0.099 (0.252)	Data 0.001 (0.186)	Loss 3.6638 (3.7298)	Prec@1 18.750 (18.901)	Prec@5 44.141 (43.543)
Epoch: [34][830/7045]	Time 0.102 (0.252)	Data 0.001 (0.186)	Loss 3.6513 (3.7297)	Prec@1 21.094 (18.901)	Prec@5 48.047 (43.543)
Epoch: [34][840/7045]	Time 0.100 (0.252)	Data 0.009 (0.186)	Loss 3.9244 (3.7292)	Prec@1 16.797 (18.913)	Prec@5 42.188 (43.561)
Epoch: [34][850/7045]	Time 0.101 (0.252)	Data 0.048 (0.186)	Loss 3.8295 (3.7292)	Prec@1 16.797 (18.906)	Prec@5 41.016 (43.557)
Epoch: [34][860/7045]	Time 0.102 (0.252)	Data 0.011 (0.186)	Loss 3.6486 (3.7295)	Prec@1 22.656 (18.896)	Prec@5 48.047 (43.562)
Epoch: [34][870/7045]	Time 0.677 (0.252)	Data 0.625 (0.186)	Loss 3.7796 (3.7302)	Prec@1 18.359 (18.879)	Prec@5 42.578 (43.548)
Epoch: [34][880/7045]	Time 0.111 (0.252)	Data 0.004 (0.185)	Loss 3.7392 (3.7298)	Prec@1 17.969 (18.886)	Prec@5 41.406 (43.556)
Epoch: [34][890/7045]	Time 0.363 (0.252)	Data 0.312 (0.185)	Loss 3.4438 (3.7296)	Prec@1 25.000 (18.896)	Prec@5 46.484 (43.560)
Epoch: [34][900/7045]	Time 0.250 (0.252)	Data 0.196 (0.186)	Loss 3.7191 (3.7296)	Prec@1 17.188 (18.891)	Prec@5 44.141 (43.555)
Epoch: [34][910/7045]	Time 0.109 (0.252)	Data 0.057 (0.185)	Loss 3.8617 (3.7303)	Prec@1 15.625 (18.881)	Prec@5 39.453 (43.542)
Epoch: [34][920/7045]	Time 0.532 (0.252)	Data 0.480 (0.186)	Loss 3.7703 (3.7306)	Prec@1 16.406 (18.886)	Prec@5 42.969 (43.537)
Epoch: [34][930/7045]	Time 0.104 (0.252)	Data 0.051 (0.186)	Loss 3.8378 (3.7308)	Prec@1 16.016 (18.875)	Prec@5 38.672 (43.537)
Epoch: [34][940/7045]	Time 0.315 (0.252)	Data 0.252 (0.186)	Loss 3.7364 (3.7309)	Prec@1 19.531 (18.871)	Prec@5 42.969 (43.543)
Epoch: [34][950/7045]	Time 0.112 (0.252)	Data 0.060 (0.186)	Loss 3.9479 (3.7308)	Prec@1 16.016 (18.867)	Prec@5 37.109 (43.556)
Epoch: [34][960/7045]	Time 0.252 (0.252)	Data 0.197 (0.186)	Loss 3.7452 (3.7306)	Prec@1 17.188 (18.874)	Prec@5 42.969 (43.557)
Epoch: [34][970/7045]	Time 0.103 (0.252)	Data 0.010 (0.186)	Loss 3.8318 (3.7301)	Prec@1 18.359 (18.884)	Prec@5 39.062 (43.571)
Epoch: [34][980/7045]	Time 0.490 (0.252)	Data 0.439 (0.186)	Loss 3.4740 (3.7298)	Prec@1 21.875 (18.899)	Prec@5 48.828 (43.586)
Epoch: [34][990/7045]	Time 0.316 (0.252)	Data 0.265 (0.186)	Loss 3.7320 (3.7302)	Prec@1 17.578 (18.889)	Prec@5 44.922 (43.578)
Epoch: [34][1000/7045]	Time 0.517 (0.252)	Data 0.466 (0.186)	Loss 3.4174 (3.7295)	Prec@1 21.875 (18.902)	Prec@5 50.391 (43.590)
Epoch: [34][1010/7045]	Time 0.105 (0.251)	Data 0.054 (0.186)	Loss 3.7407 (3.7296)	Prec@1 17.578 (18.900)	Prec@5 42.578 (43.586)
Epoch: [34][1020/7045]	Time 0.567 (0.252)	Data 0.517 (0.187)	Loss 3.7907 (3.7297)	Prec@1 17.578 (18.911)	Prec@5 43.750 (43.581)
Epoch: [34][1030/7045]	Time 0.102 (0.252)	Data 0.001 (0.186)	Loss 3.7776 (3.7298)	Prec@1 15.234 (18.909)	Prec@5 41.016 (43.565)
Epoch: [34][1040/7045]	Time 0.354 (0.252)	Data 0.302 (0.186)	Loss 3.7082 (3.7299)	Prec@1 20.703 (18.902)	Prec@5 41.406 (43.548)
Epoch: [34][1050/7045]	Time 0.113 (0.252)	Data 0.062 (0.187)	Loss 3.7783 (3.7293)	Prec@1 18.750 (18.915)	Prec@5 45.703 (43.572)
Epoch: [34][1060/7045]	Time 0.106 (0.251)	Data 0.054 (0.186)	Loss 3.7196 (3.7290)	Prec@1 17.578 (18.916)	Prec@5 44.141 (43.575)
Epoch: [34][1070/7045]	Time 0.294 (0.252)	Data 0.242 (0.187)	Loss 3.5863 (3.7289)	Prec@1 20.312 (18.910)	Prec@5 50.000 (43.573)
Epoch: [34][1080/7045]	Time 0.101 (0.251)	Data 0.011 (0.186)	Loss 3.5962 (3.7289)	Prec@1 21.484 (18.917)	Prec@5 46.094 (43.578)
Epoch: [34][1090/7045]	Time 0.281 (0.251)	Data 0.230 (0.186)	Loss 3.6451 (3.7287)	Prec@1 17.969 (18.903)	Prec@5 49.219 (43.579)
Epoch: [34][1100/7045]	Time 0.102 (0.251)	Data 0.016 (0.186)	Loss 3.8104 (3.7287)	Prec@1 17.969 (18.907)	Prec@5 41.016 (43.577)
Epoch: [34][1110/7045]	Time 0.341 (0.251)	Data 0.290 (0.186)	Loss 4.0813 (3.7292)	Prec@1 15.234 (18.902)	Prec@5 35.547 (43.559)
Epoch: [34][1120/7045]	Time 0.554 (0.251)	Data 0.502 (0.187)	Loss 3.6534 (3.7292)	Prec@1 19.531 (18.905)	Prec@5 46.094 (43.566)
Epoch: [34][1130/7045]	Time 0.168 (0.251)	Data 0.116 (0.186)	Loss 3.6245 (3.7296)	Prec@1 22.266 (18.902)	Prec@5 45.703 (43.559)
Epoch: [34][1140/7045]	Time 0.206 (0.251)	Data 0.153 (0.186)	Loss 3.5504 (3.7293)	Prec@1 21.875 (18.905)	Prec@5 46.484 (43.562)
Epoch: [34][1150/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 3.8729 (3.7294)	Prec@1 18.750 (18.905)	Prec@5 41.797 (43.559)
Epoch: [34][1160/7045]	Time 0.507 (0.251)	Data 0.457 (0.187)	Loss 3.8205 (3.7293)	Prec@1 16.016 (18.904)	Prec@5 42.188 (43.561)
Epoch: [34][1170/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.5715 (3.7288)	Prec@1 19.531 (18.910)	Prec@5 48.047 (43.570)
Epoch: [34][1180/7045]	Time 0.413 (0.251)	Data 0.360 (0.187)	Loss 3.8159 (3.7289)	Prec@1 19.141 (18.907)	Prec@5 42.188 (43.557)
Epoch: [34][1190/7045]	Time 0.541 (0.251)	Data 0.489 (0.187)	Loss 3.6679 (3.7285)	Prec@1 21.484 (18.916)	Prec@5 48.047 (43.572)
Epoch: [34][1200/7045]	Time 0.109 (0.251)	Data 0.019 (0.187)	Loss 3.6840 (3.7281)	Prec@1 15.234 (18.914)	Prec@5 41.797 (43.571)
Epoch: [34][1210/7045]	Time 0.569 (0.251)	Data 0.510 (0.187)	Loss 3.8672 (3.7276)	Prec@1 19.531 (18.923)	Prec@5 38.672 (43.577)
Epoch: [34][1220/7045]	Time 0.101 (0.251)	Data 0.002 (0.186)	Loss 3.8913 (3.7282)	Prec@1 18.750 (18.924)	Prec@5 38.672 (43.566)
Epoch: [34][1230/7045]	Time 0.652 (0.251)	Data 0.601 (0.187)	Loss 3.8047 (3.7280)	Prec@1 18.750 (18.925)	Prec@5 43.359 (43.573)
Epoch: [34][1240/7045]	Time 0.104 (0.251)	Data 0.001 (0.186)	Loss 3.5797 (3.7276)	Prec@1 23.828 (18.932)	Prec@5 47.656 (43.577)
Epoch: [34][1250/7045]	Time 0.431 (0.251)	Data 0.380 (0.186)	Loss 3.6276 (3.7271)	Prec@1 24.609 (18.945)	Prec@5 46.875 (43.589)
Epoch: [34][1260/7045]	Time 0.112 (0.251)	Data 0.051 (0.186)	Loss 3.7554 (3.7272)	Prec@1 16.016 (18.941)	Prec@5 43.750 (43.597)
Epoch: [34][1270/7045]	Time 0.246 (0.251)	Data 0.195 (0.186)	Loss 3.7269 (3.7268)	Prec@1 20.312 (18.945)	Prec@5 42.578 (43.602)
Epoch: [34][1280/7045]	Time 0.101 (0.251)	Data 0.006 (0.186)	Loss 4.0298 (3.7274)	Prec@1 16.797 (18.942)	Prec@5 38.672 (43.586)
Epoch: [34][1290/7045]	Time 0.207 (0.251)	Data 0.157 (0.186)	Loss 3.5877 (3.7278)	Prec@1 19.922 (18.931)	Prec@5 46.875 (43.583)
Epoch: [34][1300/7045]	Time 0.273 (0.251)	Data 0.221 (0.186)	Loss 3.8388 (3.7283)	Prec@1 17.969 (18.921)	Prec@5 42.969 (43.570)
Epoch: [34][1310/7045]	Time 0.396 (0.251)	Data 0.346 (0.187)	Loss 3.7435 (3.7282)	Prec@1 20.703 (18.927)	Prec@5 42.578 (43.577)
Epoch: [34][1320/7045]	Time 0.130 (0.251)	Data 0.078 (0.187)	Loss 3.6581 (3.7283)	Prec@1 17.578 (18.921)	Prec@5 44.141 (43.576)
Epoch: [34][1330/7045]	Time 0.117 (0.251)	Data 0.066 (0.186)	Loss 3.6592 (3.7284)	Prec@1 18.359 (18.923)	Prec@5 46.875 (43.572)
Epoch: [34][1340/7045]	Time 0.395 (0.251)	Data 0.344 (0.187)	Loss 3.6679 (3.7281)	Prec@1 16.797 (18.930)	Prec@5 47.656 (43.581)
Epoch: [34][1350/7045]	Time 0.104 (0.251)	Data 0.052 (0.186)	Loss 3.6242 (3.7280)	Prec@1 20.703 (18.935)	Prec@5 43.750 (43.581)
Epoch: [34][1360/7045]	Time 0.336 (0.251)	Data 0.278 (0.186)	Loss 3.6835 (3.7277)	Prec@1 19.531 (18.943)	Prec@5 44.531 (43.584)
Epoch: [34][1370/7045]	Time 0.372 (0.251)	Data 0.321 (0.186)	Loss 3.6866 (3.7277)	Prec@1 20.703 (18.939)	Prec@5 43.750 (43.585)
Epoch: [34][1380/7045]	Time 0.189 (0.251)	Data 0.138 (0.186)	Loss 3.5659 (3.7279)	Prec@1 21.094 (18.932)	Prec@5 47.656 (43.578)
Epoch: [34][1390/7045]	Time 0.176 (0.251)	Data 0.124 (0.187)	Loss 3.8224 (3.7277)	Prec@1 14.844 (18.932)	Prec@5 37.500 (43.582)
Epoch: [34][1400/7045]	Time 0.114 (0.251)	Data 0.063 (0.186)	Loss 3.9156 (3.7277)	Prec@1 17.578 (18.940)	Prec@5 37.109 (43.585)
Epoch: [34][1410/7045]	Time 0.161 (0.251)	Data 0.102 (0.187)	Loss 3.8672 (3.7281)	Prec@1 14.453 (18.935)	Prec@5 41.406 (43.583)
Epoch: [34][1420/7045]	Time 0.274 (0.251)	Data 0.223 (0.187)	Loss 3.5602 (3.7278)	Prec@1 20.703 (18.944)	Prec@5 46.484 (43.590)
Epoch: [34][1430/7045]	Time 0.123 (0.251)	Data 0.072 (0.187)	Loss 3.9127 (3.7278)	Prec@1 14.844 (18.940)	Prec@5 40.625 (43.590)
Epoch: [34][1440/7045]	Time 0.470 (0.251)	Data 0.419 (0.187)	Loss 3.7500 (3.7277)	Prec@1 17.578 (18.940)	Prec@5 40.234 (43.588)
Epoch: [34][1450/7045]	Time 0.173 (0.251)	Data 0.123 (0.187)	Loss 3.6033 (3.7274)	Prec@1 23.828 (18.952)	Prec@5 44.922 (43.595)
Epoch: [34][1460/7045]	Time 0.146 (0.251)	Data 0.095 (0.187)	Loss 3.8184 (3.7270)	Prec@1 19.141 (18.964)	Prec@5 44.922 (43.613)
Epoch: [34][1470/7045]	Time 0.121 (0.251)	Data 0.070 (0.187)	Loss 3.6798 (3.7272)	Prec@1 17.969 (18.961)	Prec@5 43.750 (43.606)
Epoch: [34][1480/7045]	Time 0.151 (0.251)	Data 0.099 (0.187)	Loss 3.7656 (3.7268)	Prec@1 18.359 (18.965)	Prec@5 45.312 (43.619)
Epoch: [34][1490/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 3.8000 (3.7268)	Prec@1 17.188 (18.961)	Prec@5 40.234 (43.616)
Epoch: [34][1500/7045]	Time 0.149 (0.251)	Data 0.098 (0.186)	Loss 3.8206 (3.7270)	Prec@1 17.578 (18.962)	Prec@5 39.844 (43.610)
Epoch: [34][1510/7045]	Time 0.102 (0.251)	Data 0.044 (0.187)	Loss 3.7957 (3.7270)	Prec@1 19.922 (18.960)	Prec@5 41.797 (43.610)
Epoch: [34][1520/7045]	Time 0.701 (0.251)	Data 0.649 (0.187)	Loss 3.4447 (3.7266)	Prec@1 19.141 (18.962)	Prec@5 48.438 (43.620)
Epoch: [34][1530/7045]	Time 0.161 (0.251)	Data 0.100 (0.187)	Loss 3.6625 (3.7267)	Prec@1 21.484 (18.954)	Prec@5 45.312 (43.615)
Epoch: [34][1540/7045]	Time 0.535 (0.251)	Data 0.484 (0.187)	Loss 3.8038 (3.7269)	Prec@1 20.703 (18.959)	Prec@5 42.188 (43.615)
Epoch: [34][1550/7045]	Time 0.500 (0.251)	Data 0.450 (0.187)	Loss 3.6238 (3.7267)	Prec@1 19.531 (18.957)	Prec@5 44.922 (43.614)
Epoch: [34][1560/7045]	Time 0.263 (0.251)	Data 0.213 (0.186)	Loss 3.8242 (3.7273)	Prec@1 19.922 (18.949)	Prec@5 41.797 (43.601)
Epoch: [34][1570/7045]	Time 0.834 (0.251)	Data 0.783 (0.187)	Loss 3.8203 (3.7275)	Prec@1 13.281 (18.936)	Prec@5 42.969 (43.593)
Epoch: [34][1580/7045]	Time 0.101 (0.251)	Data 0.001 (0.186)	Loss 3.6987 (3.7277)	Prec@1 22.266 (18.935)	Prec@5 44.531 (43.584)
Epoch: [34][1590/7045]	Time 0.537 (0.251)	Data 0.484 (0.186)	Loss 3.7270 (3.7278)	Prec@1 20.703 (18.935)	Prec@5 45.703 (43.590)
Epoch: [34][1600/7045]	Time 0.144 (0.251)	Data 0.092 (0.186)	Loss 3.6192 (3.7278)	Prec@1 18.359 (18.933)	Prec@5 45.312 (43.590)
Epoch: [34][1610/7045]	Time 0.180 (0.251)	Data 0.130 (0.186)	Loss 3.6562 (3.7273)	Prec@1 19.922 (18.945)	Prec@5 43.750 (43.609)
Epoch: [34][1620/7045]	Time 0.617 (0.251)	Data 0.558 (0.186)	Loss 3.8117 (3.7272)	Prec@1 18.359 (18.950)	Prec@5 42.188 (43.612)
Epoch: [34][1630/7045]	Time 0.111 (0.251)	Data 0.001 (0.186)	Loss 3.6537 (3.7271)	Prec@1 21.094 (18.952)	Prec@5 44.141 (43.617)
Epoch: [34][1640/7045]	Time 0.606 (0.251)	Data 0.556 (0.186)	Loss 3.8386 (3.7269)	Prec@1 17.578 (18.955)	Prec@5 43.359 (43.627)
Epoch: [34][1650/7045]	Time 0.103 (0.250)	Data 0.001 (0.186)	Loss 3.5936 (3.7268)	Prec@1 20.312 (18.952)	Prec@5 45.703 (43.618)
Epoch: [34][1660/7045]	Time 0.641 (0.251)	Data 0.580 (0.186)	Loss 3.5858 (3.7264)	Prec@1 21.875 (18.965)	Prec@5 48.438 (43.630)
Epoch: [34][1670/7045]	Time 0.160 (0.250)	Data 0.109 (0.185)	Loss 3.7909 (3.7263)	Prec@1 18.359 (18.970)	Prec@5 43.750 (43.636)
Epoch: [34][1680/7045]	Time 0.171 (0.251)	Data 0.120 (0.186)	Loss 4.0186 (3.7265)	Prec@1 15.234 (18.961)	Prec@5 35.156 (43.628)
Epoch: [34][1690/7045]	Time 0.473 (0.251)	Data 0.414 (0.186)	Loss 3.8596 (3.7267)	Prec@1 19.922 (18.958)	Prec@5 38.281 (43.621)
Epoch: [34][1700/7045]	Time 0.102 (0.251)	Data 0.001 (0.186)	Loss 3.9844 (3.7276)	Prec@1 16.797 (18.944)	Prec@5 36.328 (43.593)
Epoch: [34][1710/7045]	Time 0.108 (0.251)	Data 0.056 (0.186)	Loss 3.6490 (3.7276)	Prec@1 23.047 (18.949)	Prec@5 44.531 (43.592)
Epoch: [34][1720/7045]	Time 0.393 (0.251)	Data 0.342 (0.186)	Loss 3.7040 (3.7276)	Prec@1 19.141 (18.950)	Prec@5 44.531 (43.590)
Epoch: [34][1730/7045]	Time 0.102 (0.251)	Data 0.001 (0.186)	Loss 3.8892 (3.7275)	Prec@1 19.922 (18.946)	Prec@5 42.188 (43.600)
Epoch: [34][1740/7045]	Time 0.443 (0.251)	Data 0.392 (0.186)	Loss 3.7291 (3.7274)	Prec@1 18.750 (18.945)	Prec@5 42.578 (43.609)
Epoch: [34][1750/7045]	Time 0.220 (0.250)	Data 0.169 (0.186)	Loss 3.8212 (3.7274)	Prec@1 18.750 (18.950)	Prec@5 43.359 (43.615)
Epoch: [34][1760/7045]	Time 0.102 (0.251)	Data 0.003 (0.186)	Loss 3.8204 (3.7271)	Prec@1 17.969 (18.954)	Prec@5 43.750 (43.629)
Epoch: [34][1770/7045]	Time 0.294 (0.251)	Data 0.243 (0.186)	Loss 3.6240 (3.7271)	Prec@1 21.094 (18.950)	Prec@5 48.047 (43.633)
Epoch: [34][1780/7045]	Time 0.105 (0.250)	Data 0.006 (0.186)	Loss 3.7405 (3.7268)	Prec@1 20.312 (18.954)	Prec@5 44.141 (43.637)
Epoch: [34][1790/7045]	Time 0.378 (0.251)	Data 0.317 (0.186)	Loss 3.6644 (3.7269)	Prec@1 21.094 (18.958)	Prec@5 47.266 (43.632)
Epoch: [34][1800/7045]	Time 0.106 (0.250)	Data 0.054 (0.186)	Loss 3.9077 (3.7271)	Prec@1 16.797 (18.955)	Prec@5 37.891 (43.630)
Epoch: [34][1810/7045]	Time 0.191 (0.251)	Data 0.134 (0.186)	Loss 3.8114 (3.7272)	Prec@1 19.922 (18.953)	Prec@5 44.531 (43.629)
Epoch: [34][1820/7045]	Time 0.169 (0.251)	Data 0.117 (0.186)	Loss 3.6250 (3.7269)	Prec@1 21.484 (18.959)	Prec@5 45.703 (43.630)
Epoch: [34][1830/7045]	Time 0.102 (0.251)	Data 0.001 (0.186)	Loss 3.8206 (3.7268)	Prec@1 13.281 (18.959)	Prec@5 41.016 (43.631)
Epoch: [34][1840/7045]	Time 0.500 (0.251)	Data 0.449 (0.186)	Loss 3.6367 (3.7266)	Prec@1 21.875 (18.962)	Prec@5 45.703 (43.628)
Epoch: [34][1850/7045]	Time 0.249 (0.251)	Data 0.198 (0.186)	Loss 3.6448 (3.7264)	Prec@1 18.359 (18.961)	Prec@5 48.047 (43.637)
Epoch: [34][1860/7045]	Time 0.262 (0.251)	Data 0.211 (0.186)	Loss 3.9260 (3.7263)	Prec@1 15.625 (18.960)	Prec@5 37.500 (43.637)
Epoch: [34][1870/7045]	Time 0.375 (0.251)	Data 0.322 (0.186)	Loss 3.8001 (3.7262)	Prec@1 13.281 (18.956)	Prec@5 39.062 (43.638)
Epoch: [34][1880/7045]	Time 0.101 (0.251)	Data 0.003 (0.186)	Loss 3.5827 (3.7263)	Prec@1 17.969 (18.957)	Prec@5 46.875 (43.642)
Epoch: [34][1890/7045]	Time 0.463 (0.251)	Data 0.412 (0.187)	Loss 3.7063 (3.7265)	Prec@1 18.750 (18.955)	Prec@5 42.578 (43.641)
Epoch: [34][1900/7045]	Time 0.335 (0.251)	Data 0.277 (0.186)	Loss 3.6842 (3.7263)	Prec@1 17.578 (18.962)	Prec@5 42.969 (43.647)
Epoch: [34][1910/7045]	Time 0.209 (0.251)	Data 0.159 (0.186)	Loss 3.5843 (3.7262)	Prec@1 18.359 (18.963)	Prec@5 49.609 (43.656)
Epoch: [34][1920/7045]	Time 0.667 (0.251)	Data 0.617 (0.187)	Loss 3.6206 (3.7260)	Prec@1 23.438 (18.965)	Prec@5 48.047 (43.661)
Epoch: [34][1930/7045]	Time 0.111 (0.251)	Data 0.060 (0.186)	Loss 3.7859 (3.7260)	Prec@1 20.312 (18.964)	Prec@5 44.922 (43.658)
Epoch: [34][1940/7045]	Time 0.241 (0.251)	Data 0.190 (0.186)	Loss 3.8352 (3.7264)	Prec@1 16.016 (18.950)	Prec@5 44.531 (43.652)
Epoch: [34][1950/7045]	Time 0.277 (0.251)	Data 0.225 (0.186)	Loss 3.6953 (3.7263)	Prec@1 16.797 (18.946)	Prec@5 46.094 (43.655)
Epoch: [34][1960/7045]	Time 0.103 (0.251)	Data 0.001 (0.187)	Loss 3.7826 (3.7261)	Prec@1 17.578 (18.951)	Prec@5 44.531 (43.659)
Epoch: [34][1970/7045]	Time 0.546 (0.251)	Data 0.489 (0.187)	Loss 3.9871 (3.7265)	Prec@1 12.891 (18.951)	Prec@5 35.547 (43.656)
Epoch: [34][1980/7045]	Time 0.128 (0.251)	Data 0.076 (0.187)	Loss 3.7402 (3.7262)	Prec@1 22.656 (18.953)	Prec@5 46.094 (43.659)
Epoch: [34][1990/7045]	Time 0.231 (0.251)	Data 0.180 (0.187)	Loss 3.8114 (3.7261)	Prec@1 18.359 (18.957)	Prec@5 43.750 (43.665)
Epoch: [34][2000/7045]	Time 0.427 (0.251)	Data 0.376 (0.187)	Loss 3.7020 (3.7262)	Prec@1 17.969 (18.956)	Prec@5 38.672 (43.663)
Epoch: [34][2010/7045]	Time 0.109 (0.251)	Data 0.001 (0.187)	Loss 3.5729 (3.7263)	Prec@1 23.047 (18.956)	Prec@5 44.922 (43.658)
Epoch: [34][2020/7045]	Time 0.462 (0.251)	Data 0.412 (0.187)	Loss 3.6384 (3.7263)	Prec@1 19.922 (18.953)	Prec@5 43.750 (43.658)
Epoch: [34][2030/7045]	Time 0.253 (0.251)	Data 0.203 (0.187)	Loss 4.0486 (3.7266)	Prec@1 16.797 (18.950)	Prec@5 37.500 (43.649)
Epoch: [34][2040/7045]	Time 0.717 (0.251)	Data 0.666 (0.187)	Loss 3.8330 (3.7267)	Prec@1 20.703 (18.953)	Prec@5 42.188 (43.648)
Epoch: [34][2050/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.6442 (3.7264)	Prec@1 19.141 (18.959)	Prec@5 46.484 (43.652)
Epoch: [34][2060/7045]	Time 0.296 (0.251)	Data 0.245 (0.187)	Loss 4.0199 (3.7264)	Prec@1 19.922 (18.965)	Prec@5 36.719 (43.658)
Epoch: [34][2070/7045]	Time 0.150 (0.251)	Data 0.100 (0.187)	Loss 3.8134 (3.7262)	Prec@1 17.969 (18.966)	Prec@5 42.578 (43.664)
Epoch: [34][2080/7045]	Time 0.101 (0.251)	Data 0.005 (0.187)	Loss 3.5924 (3.7262)	Prec@1 22.656 (18.965)	Prec@5 47.266 (43.667)
Epoch: [34][2090/7045]	Time 0.342 (0.251)	Data 0.292 (0.187)	Loss 3.7050 (3.7262)	Prec@1 16.797 (18.960)	Prec@5 42.578 (43.666)
Epoch: [34][2100/7045]	Time 0.193 (0.251)	Data 0.141 (0.187)	Loss 3.7861 (3.7261)	Prec@1 17.578 (18.963)	Prec@5 44.531 (43.669)
Epoch: [34][2110/7045]	Time 0.292 (0.251)	Data 0.240 (0.187)	Loss 3.7044 (3.7257)	Prec@1 20.703 (18.967)	Prec@5 42.578 (43.674)
Epoch: [34][2120/7045]	Time 0.103 (0.251)	Data 0.023 (0.187)	Loss 3.9437 (3.7253)	Prec@1 13.281 (18.966)	Prec@5 40.625 (43.688)
Epoch: [34][2130/7045]	Time 0.245 (0.251)	Data 0.192 (0.187)	Loss 3.6169 (3.7251)	Prec@1 20.312 (18.968)	Prec@5 43.750 (43.692)
Epoch: [34][2140/7045]	Time 0.101 (0.251)	Data 0.001 (0.186)	Loss 3.7510 (3.7252)	Prec@1 18.359 (18.971)	Prec@5 44.141 (43.686)
Epoch: [34][2150/7045]	Time 0.196 (0.251)	Data 0.146 (0.187)	Loss 3.5693 (3.7252)	Prec@1 20.312 (18.968)	Prec@5 50.781 (43.691)
Epoch: [34][2160/7045]	Time 0.181 (0.251)	Data 0.118 (0.187)	Loss 3.7340 (3.7253)	Prec@1 22.656 (18.967)	Prec@5 44.531 (43.688)
Epoch: [34][2170/7045]	Time 0.102 (0.251)	Data 0.001 (0.186)	Loss 3.7826 (3.7251)	Prec@1 17.969 (18.971)	Prec@5 45.703 (43.690)
Epoch: [34][2180/7045]	Time 0.246 (0.251)	Data 0.192 (0.187)	Loss 3.6051 (3.7251)	Prec@1 23.828 (18.972)	Prec@5 49.609 (43.690)
Epoch: [34][2190/7045]	Time 0.242 (0.251)	Data 0.192 (0.186)	Loss 3.6668 (3.7251)	Prec@1 17.578 (18.972)	Prec@5 42.969 (43.692)
Epoch: [34][2200/7045]	Time 0.164 (0.251)	Data 0.114 (0.186)	Loss 3.6854 (3.7253)	Prec@1 20.703 (18.971)	Prec@5 43.359 (43.688)
Epoch: [34][2210/7045]	Time 0.456 (0.251)	Data 0.398 (0.187)	Loss 3.6487 (3.7254)	Prec@1 17.188 (18.971)	Prec@5 42.578 (43.685)
Epoch: [34][2220/7045]	Time 0.099 (0.251)	Data 0.011 (0.186)	Loss 3.5241 (3.7250)	Prec@1 19.922 (18.976)	Prec@5 48.047 (43.693)
Epoch: [34][2230/7045]	Time 0.214 (0.251)	Data 0.157 (0.187)	Loss 3.6758 (3.7249)	Prec@1 15.625 (18.978)	Prec@5 46.875 (43.696)
Epoch: [34][2240/7045]	Time 0.410 (0.251)	Data 0.360 (0.187)	Loss 3.7239 (3.7247)	Prec@1 20.312 (18.984)	Prec@5 42.578 (43.703)
Epoch: [34][2250/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.6082 (3.7247)	Prec@1 23.438 (18.979)	Prec@5 47.266 (43.700)
Epoch: [34][2260/7045]	Time 0.685 (0.251)	Data 0.634 (0.187)	Loss 3.8518 (3.7247)	Prec@1 19.141 (18.979)	Prec@5 39.453 (43.704)
Epoch: [34][2270/7045]	Time 0.107 (0.250)	Data 0.055 (0.186)	Loss 3.5426 (3.7246)	Prec@1 21.094 (18.977)	Prec@5 47.266 (43.706)
Epoch: [34][2280/7045]	Time 0.609 (0.251)	Data 0.551 (0.186)	Loss 3.8633 (3.7245)	Prec@1 14.453 (18.982)	Prec@5 39.062 (43.706)
Epoch: [34][2290/7045]	Time 0.205 (0.250)	Data 0.153 (0.186)	Loss 3.6520 (3.7246)	Prec@1 18.750 (18.983)	Prec@5 46.094 (43.700)
Epoch: [34][2300/7045]	Time 0.262 (0.250)	Data 0.210 (0.186)	Loss 3.8301 (3.7247)	Prec@1 17.188 (18.979)	Prec@5 44.141 (43.696)
Epoch: [34][2310/7045]	Time 0.505 (0.250)	Data 0.454 (0.186)	Loss 3.6773 (3.7244)	Prec@1 19.922 (18.982)	Prec@5 43.750 (43.706)
Epoch: [34][2320/7045]	Time 0.269 (0.250)	Data 0.217 (0.186)	Loss 3.6355 (3.7243)	Prec@1 16.406 (18.984)	Prec@5 41.406 (43.710)
Epoch: [34][2330/7045]	Time 0.533 (0.250)	Data 0.483 (0.186)	Loss 3.6098 (3.7240)	Prec@1 19.922 (18.986)	Prec@5 44.141 (43.720)
Epoch: [34][2340/7045]	Time 0.101 (0.250)	Data 0.001 (0.186)	Loss 3.5365 (3.7238)	Prec@1 18.359 (18.990)	Prec@5 53.906 (43.726)
Epoch: [34][2350/7045]	Time 0.338 (0.250)	Data 0.287 (0.186)	Loss 3.7530 (3.7237)	Prec@1 17.188 (18.995)	Prec@5 42.969 (43.732)
Epoch: [34][2360/7045]	Time 0.296 (0.250)	Data 0.246 (0.186)	Loss 3.7980 (3.7236)	Prec@1 17.969 (18.999)	Prec@5 41.016 (43.734)
Epoch: [34][2370/7045]	Time 0.275 (0.250)	Data 0.224 (0.186)	Loss 3.5904 (3.7237)	Prec@1 19.922 (18.998)	Prec@5 46.484 (43.733)
Epoch: [34][2380/7045]	Time 0.393 (0.250)	Data 0.343 (0.186)	Loss 3.7459 (3.7237)	Prec@1 16.406 (18.991)	Prec@5 40.625 (43.733)
Epoch: [34][2390/7045]	Time 0.159 (0.250)	Data 0.101 (0.186)	Loss 3.5010 (3.7236)	Prec@1 22.266 (18.998)	Prec@5 48.828 (43.739)
Epoch: [34][2400/7045]	Time 0.610 (0.250)	Data 0.549 (0.186)	Loss 3.8500 (3.7234)	Prec@1 17.969 (19.003)	Prec@5 39.062 (43.740)
Epoch: [34][2410/7045]	Time 0.102 (0.250)	Data 0.008 (0.186)	Loss 3.6575 (3.7235)	Prec@1 21.484 (19.002)	Prec@5 45.312 (43.741)
Epoch: [34][2420/7045]	Time 0.104 (0.250)	Data 0.049 (0.186)	Loss 3.7201 (3.7236)	Prec@1 21.484 (19.001)	Prec@5 43.750 (43.737)
Epoch: [34][2430/7045]	Time 0.126 (0.250)	Data 0.075 (0.186)	Loss 3.7783 (3.7235)	Prec@1 16.016 (19.003)	Prec@5 41.797 (43.740)
Epoch: [34][2440/7045]	Time 0.277 (0.250)	Data 0.226 (0.186)	Loss 3.6212 (3.7232)	Prec@1 25.391 (19.010)	Prec@5 49.219 (43.743)
Epoch: [34][2450/7045]	Time 0.109 (0.250)	Data 0.058 (0.186)	Loss 3.6913 (3.7233)	Prec@1 21.094 (19.005)	Prec@5 41.406 (43.740)
Epoch: [34][2460/7045]	Time 0.205 (0.250)	Data 0.154 (0.186)	Loss 3.6343 (3.7233)	Prec@1 21.094 (19.006)	Prec@5 44.531 (43.744)
Epoch: [34][2470/7045]	Time 0.135 (0.250)	Data 0.075 (0.186)	Loss 3.7264 (3.7234)	Prec@1 21.875 (19.006)	Prec@5 45.703 (43.744)
Epoch: [34][2480/7045]	Time 0.102 (0.250)	Data 0.009 (0.186)	Loss 3.8313 (3.7233)	Prec@1 16.797 (19.010)	Prec@5 42.578 (43.750)
Epoch: [34][2490/7045]	Time 0.218 (0.250)	Data 0.168 (0.186)	Loss 3.8824 (3.7234)	Prec@1 21.094 (19.008)	Prec@5 42.969 (43.747)
Epoch: [34][2500/7045]	Time 0.106 (0.250)	Data 0.055 (0.186)	Loss 3.7868 (3.7235)	Prec@1 22.266 (19.006)	Prec@5 41.797 (43.742)
Epoch: [34][2510/7045]	Time 0.214 (0.250)	Data 0.163 (0.186)	Loss 3.8298 (3.7233)	Prec@1 17.188 (19.010)	Prec@5 41.016 (43.750)
Epoch: [34][2520/7045]	Time 0.157 (0.250)	Data 0.107 (0.186)	Loss 3.7648 (3.7231)	Prec@1 16.406 (19.016)	Prec@5 44.531 (43.758)
Epoch: [34][2530/7045]	Time 0.158 (0.250)	Data 0.107 (0.186)	Loss 3.8688 (3.7228)	Prec@1 15.625 (19.018)	Prec@5 37.109 (43.764)
Epoch: [34][2540/7045]	Time 0.108 (0.250)	Data 0.001 (0.186)	Loss 3.6723 (3.7228)	Prec@1 21.094 (19.016)	Prec@5 39.453 (43.762)
Epoch: [34][2550/7045]	Time 0.358 (0.250)	Data 0.307 (0.186)	Loss 3.7268 (3.7229)	Prec@1 21.094 (19.011)	Prec@5 42.969 (43.763)
Epoch: [34][2560/7045]	Time 0.229 (0.250)	Data 0.178 (0.186)	Loss 3.6900 (3.7229)	Prec@1 16.016 (19.006)	Prec@5 42.969 (43.762)
Epoch: [34][2570/7045]	Time 0.566 (0.250)	Data 0.515 (0.186)	Loss 3.5995 (3.7229)	Prec@1 21.094 (19.009)	Prec@5 48.047 (43.763)
Epoch: [34][2580/7045]	Time 0.101 (0.250)	Data 0.046 (0.186)	Loss 3.8156 (3.7229)	Prec@1 20.312 (19.008)	Prec@5 44.531 (43.767)
Epoch: [34][2590/7045]	Time 0.195 (0.250)	Data 0.142 (0.186)	Loss 3.7443 (3.7228)	Prec@1 18.750 (19.012)	Prec@5 39.844 (43.769)
Epoch: [34][2600/7045]	Time 0.136 (0.250)	Data 0.085 (0.186)	Loss 3.8719 (3.7228)	Prec@1 15.625 (19.011)	Prec@5 40.234 (43.769)
Epoch: [34][2610/7045]	Time 0.198 (0.250)	Data 0.147 (0.186)	Loss 3.7505 (3.7228)	Prec@1 16.406 (19.010)	Prec@5 44.531 (43.770)
Epoch: [34][2620/7045]	Time 0.328 (0.250)	Data 0.278 (0.186)	Loss 3.8003 (3.7230)	Prec@1 17.578 (19.013)	Prec@5 41.406 (43.766)
Epoch: [34][2630/7045]	Time 0.208 (0.250)	Data 0.157 (0.186)	Loss 3.6900 (3.7228)	Prec@1 19.922 (19.014)	Prec@5 44.531 (43.765)
Epoch: [34][2640/7045]	Time 0.106 (0.250)	Data 0.055 (0.186)	Loss 3.6537 (3.7228)	Prec@1 18.359 (19.015)	Prec@5 45.703 (43.765)
Epoch: [34][2650/7045]	Time 0.102 (0.250)	Data 0.001 (0.186)	Loss 3.6525 (3.7229)	Prec@1 21.484 (19.014)	Prec@5 44.531 (43.760)
Epoch: [34][2660/7045]	Time 0.206 (0.250)	Data 0.155 (0.186)	Loss 3.8389 (3.7228)	Prec@1 14.844 (19.015)	Prec@5 39.844 (43.761)
Epoch: [34][2670/7045]	Time 0.169 (0.250)	Data 0.118 (0.186)	Loss 3.6161 (3.7231)	Prec@1 18.750 (19.009)	Prec@5 48.047 (43.755)
Epoch: [34][2680/7045]	Time 0.101 (0.250)	Data 0.050 (0.186)	Loss 3.8984 (3.7230)	Prec@1 16.406 (19.014)	Prec@5 38.672 (43.760)
Epoch: [34][2690/7045]	Time 0.134 (0.250)	Data 0.083 (0.186)	Loss 3.6922 (3.7229)	Prec@1 17.188 (19.017)	Prec@5 41.797 (43.759)
Epoch: [34][2700/7045]	Time 0.175 (0.250)	Data 0.123 (0.186)	Loss 3.6331 (3.7228)	Prec@1 17.188 (19.016)	Prec@5 44.922 (43.756)
Epoch: [34][2710/7045]	Time 0.192 (0.250)	Data 0.140 (0.186)	Loss 3.8397 (3.7230)	Prec@1 19.922 (19.014)	Prec@5 40.625 (43.750)
Epoch: [34][2720/7045]	Time 0.203 (0.250)	Data 0.144 (0.186)	Loss 3.6722 (3.7229)	Prec@1 18.359 (19.016)	Prec@5 43.359 (43.751)
Epoch: [34][2730/7045]	Time 0.102 (0.250)	Data 0.001 (0.186)	Loss 3.8146 (3.7229)	Prec@1 19.531 (19.022)	Prec@5 42.969 (43.753)
Epoch: [34][2740/7045]	Time 0.107 (0.250)	Data 0.056 (0.186)	Loss 3.6625 (3.7228)	Prec@1 22.656 (19.024)	Prec@5 43.750 (43.754)
Epoch: [34][2750/7045]	Time 0.102 (0.250)	Data 0.001 (0.186)	Loss 3.7280 (3.7226)	Prec@1 16.797 (19.024)	Prec@5 41.406 (43.753)
Epoch: [34][2760/7045]	Time 0.123 (0.250)	Data 0.070 (0.186)	Loss 3.8654 (3.7227)	Prec@1 13.281 (19.023)	Prec@5 39.453 (43.750)
Epoch: [34][2770/7045]	Time 0.295 (0.250)	Data 0.243 (0.186)	Loss 3.7199 (3.7228)	Prec@1 16.797 (19.018)	Prec@5 44.531 (43.748)
Epoch: [34][2780/7045]	Time 0.320 (0.250)	Data 0.269 (0.186)	Loss 3.4743 (3.7228)	Prec@1 24.219 (19.021)	Prec@5 50.391 (43.748)
Epoch: [34][2790/7045]	Time 0.353 (0.250)	Data 0.301 (0.186)	Loss 3.6891 (3.7229)	Prec@1 18.750 (19.019)	Prec@5 47.656 (43.746)
Epoch: [34][2800/7045]	Time 0.106 (0.250)	Data 0.055 (0.186)	Loss 3.8521 (3.7230)	Prec@1 19.531 (19.021)	Prec@5 40.625 (43.744)
Epoch: [34][2810/7045]	Time 0.614 (0.250)	Data 0.563 (0.186)	Loss 3.6992 (3.7228)	Prec@1 19.531 (19.023)	Prec@5 47.266 (43.750)
Epoch: [34][2820/7045]	Time 0.109 (0.250)	Data 0.013 (0.186)	Loss 3.7603 (3.7229)	Prec@1 19.922 (19.020)	Prec@5 41.797 (43.748)
Epoch: [34][2830/7045]	Time 0.533 (0.250)	Data 0.482 (0.186)	Loss 3.6434 (3.7227)	Prec@1 18.359 (19.022)	Prec@5 46.875 (43.752)
Epoch: [34][2840/7045]	Time 0.101 (0.250)	Data 0.017 (0.186)	Loss 3.5606 (3.7226)	Prec@1 17.578 (19.019)	Prec@5 43.359 (43.752)
Epoch: [34][2850/7045]	Time 0.425 (0.250)	Data 0.374 (0.186)	Loss 3.8024 (3.7227)	Prec@1 14.453 (19.017)	Prec@5 39.844 (43.749)
Epoch: [34][2860/7045]	Time 0.446 (0.250)	Data 0.395 (0.186)	Loss 3.4164 (3.7223)	Prec@1 26.562 (19.027)	Prec@5 51.562 (43.761)
Epoch: [34][2870/7045]	Time 0.143 (0.250)	Data 0.092 (0.186)	Loss 3.9111 (3.7223)	Prec@1 16.016 (19.024)	Prec@5 37.891 (43.759)
Epoch: [34][2880/7045]	Time 0.312 (0.250)	Data 0.262 (0.187)	Loss 3.9087 (3.7223)	Prec@1 19.922 (19.026)	Prec@5 40.625 (43.761)
Epoch: [34][2890/7045]	Time 0.120 (0.250)	Data 0.068 (0.187)	Loss 3.7100 (3.7221)	Prec@1 17.969 (19.029)	Prec@5 40.234 (43.760)
Epoch: [34][2900/7045]	Time 0.127 (0.250)	Data 0.076 (0.187)	Loss 3.5914 (3.7221)	Prec@1 23.047 (19.029)	Prec@5 45.312 (43.760)
Epoch: [34][2910/7045]	Time 0.108 (0.250)	Data 0.008 (0.187)	Loss 3.4158 (3.7217)	Prec@1 23.438 (19.034)	Prec@5 53.125 (43.771)
Epoch: [34][2920/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 3.8067 (3.7216)	Prec@1 19.922 (19.037)	Prec@5 42.188 (43.772)
Epoch: [34][2930/7045]	Time 0.101 (0.250)	Data 0.012 (0.187)	Loss 3.7696 (3.7217)	Prec@1 19.531 (19.034)	Prec@5 44.141 (43.769)
Epoch: [34][2940/7045]	Time 0.150 (0.250)	Data 0.099 (0.187)	Loss 3.8734 (3.7217)	Prec@1 13.281 (19.034)	Prec@5 39.453 (43.771)
Epoch: [34][2950/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 3.5120 (3.7214)	Prec@1 22.656 (19.037)	Prec@5 46.875 (43.775)
Epoch: [34][2960/7045]	Time 0.108 (0.250)	Data 0.001 (0.187)	Loss 3.5864 (3.7212)	Prec@1 15.234 (19.040)	Prec@5 46.094 (43.779)
Epoch: [34][2970/7045]	Time 0.109 (0.250)	Data 0.057 (0.187)	Loss 3.6303 (3.7212)	Prec@1 17.578 (19.038)	Prec@5 46.484 (43.779)
Epoch: [34][2980/7045]	Time 0.188 (0.250)	Data 0.129 (0.187)	Loss 3.5123 (3.7210)	Prec@1 20.703 (19.041)	Prec@5 45.312 (43.782)
Epoch: [34][2990/7045]	Time 0.180 (0.250)	Data 0.129 (0.187)	Loss 3.8900 (3.7210)	Prec@1 16.406 (19.037)	Prec@5 36.719 (43.781)
Epoch: [34][3000/7045]	Time 0.594 (0.251)	Data 0.543 (0.187)	Loss 3.6128 (3.7211)	Prec@1 21.875 (19.035)	Prec@5 46.484 (43.778)
Epoch: [34][3010/7045]	Time 0.111 (0.250)	Data 0.058 (0.187)	Loss 4.0387 (3.7210)	Prec@1 13.281 (19.038)	Prec@5 33.203 (43.778)
Epoch: [34][3020/7045]	Time 0.744 (0.251)	Data 0.693 (0.187)	Loss 3.4798 (3.7209)	Prec@1 24.219 (19.039)	Prec@5 46.875 (43.779)
Epoch: [34][3030/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.7107 (3.7207)	Prec@1 17.969 (19.041)	Prec@5 41.016 (43.785)
Epoch: [34][3040/7045]	Time 0.485 (0.251)	Data 0.434 (0.187)	Loss 3.7958 (3.7206)	Prec@1 16.016 (19.038)	Prec@5 37.500 (43.784)
Epoch: [34][3050/7045]	Time 0.344 (0.251)	Data 0.282 (0.187)	Loss 3.7996 (3.7206)	Prec@1 17.188 (19.039)	Prec@5 43.750 (43.788)
Epoch: [34][3060/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.7329 (3.7203)	Prec@1 14.453 (19.044)	Prec@5 45.312 (43.795)
Epoch: [34][3070/7045]	Time 0.582 (0.251)	Data 0.530 (0.187)	Loss 3.7721 (3.7202)	Prec@1 15.625 (19.045)	Prec@5 40.234 (43.795)
Epoch: [34][3080/7045]	Time 0.147 (0.251)	Data 0.097 (0.187)	Loss 3.8365 (3.7202)	Prec@1 18.359 (19.045)	Prec@5 43.750 (43.796)
Epoch: [34][3090/7045]	Time 0.521 (0.251)	Data 0.470 (0.187)	Loss 3.6514 (3.7202)	Prec@1 18.750 (19.044)	Prec@5 46.094 (43.795)
Epoch: [34][3100/7045]	Time 0.259 (0.251)	Data 0.209 (0.187)	Loss 3.6949 (3.7201)	Prec@1 17.188 (19.042)	Prec@5 41.016 (43.796)
Epoch: [34][3110/7045]	Time 0.228 (0.251)	Data 0.177 (0.187)	Loss 3.6337 (3.7200)	Prec@1 20.703 (19.040)	Prec@5 46.484 (43.799)
Epoch: [34][3120/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.6727 (3.7201)	Prec@1 17.969 (19.041)	Prec@5 43.750 (43.800)
Epoch: [34][3130/7045]	Time 0.567 (0.251)	Data 0.515 (0.187)	Loss 3.8262 (3.7201)	Prec@1 17.969 (19.044)	Prec@5 38.672 (43.801)
Epoch: [34][3140/7045]	Time 0.301 (0.251)	Data 0.248 (0.187)	Loss 3.6075 (3.7201)	Prec@1 20.703 (19.044)	Prec@5 46.875 (43.801)
Epoch: [34][3150/7045]	Time 0.280 (0.251)	Data 0.227 (0.187)	Loss 3.7239 (3.7201)	Prec@1 21.875 (19.047)	Prec@5 44.922 (43.805)
Epoch: [34][3160/7045]	Time 0.128 (0.251)	Data 0.068 (0.187)	Loss 3.5746 (3.7199)	Prec@1 21.484 (19.049)	Prec@5 50.391 (43.810)
Epoch: [34][3170/7045]	Time 0.372 (0.251)	Data 0.321 (0.187)	Loss 3.8006 (3.7197)	Prec@1 17.188 (19.053)	Prec@5 42.969 (43.814)
Epoch: [34][3180/7045]	Time 0.110 (0.251)	Data 0.058 (0.187)	Loss 3.6713 (3.7197)	Prec@1 23.047 (19.057)	Prec@5 48.438 (43.815)
Epoch: [34][3190/7045]	Time 0.596 (0.251)	Data 0.544 (0.187)	Loss 3.7715 (3.7197)	Prec@1 17.578 (19.055)	Prec@5 40.234 (43.814)
Epoch: [34][3200/7045]	Time 0.104 (0.251)	Data 0.051 (0.187)	Loss 3.6104 (3.7195)	Prec@1 19.531 (19.058)	Prec@5 43.750 (43.815)
Epoch: [34][3210/7045]	Time 0.357 (0.251)	Data 0.307 (0.187)	Loss 3.5984 (3.7195)	Prec@1 22.656 (19.058)	Prec@5 45.312 (43.817)
Epoch: [34][3220/7045]	Time 0.165 (0.251)	Data 0.114 (0.187)	Loss 3.7274 (3.7193)	Prec@1 19.141 (19.062)	Prec@5 41.797 (43.823)
Epoch: [34][3230/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 3.9405 (3.7192)	Prec@1 17.969 (19.063)	Prec@5 40.625 (43.824)
Epoch: [34][3240/7045]	Time 0.108 (0.251)	Data 0.021 (0.187)	Loss 3.7340 (3.7190)	Prec@1 17.578 (19.064)	Prec@5 39.453 (43.826)
Epoch: [34][3250/7045]	Time 0.115 (0.251)	Data 0.064 (0.187)	Loss 3.7548 (3.7189)	Prec@1 15.625 (19.064)	Prec@5 42.578 (43.828)
Epoch: [34][3260/7045]	Time 0.212 (0.251)	Data 0.161 (0.187)	Loss 3.6568 (3.7190)	Prec@1 19.531 (19.067)	Prec@5 44.531 (43.828)
Epoch: [34][3270/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 3.6525 (3.7190)	Prec@1 19.531 (19.070)	Prec@5 46.094 (43.828)
Epoch: [34][3280/7045]	Time 0.381 (0.251)	Data 0.330 (0.187)	Loss 3.7482 (3.7188)	Prec@1 19.141 (19.073)	Prec@5 47.266 (43.833)
Epoch: [34][3290/7045]	Time 0.167 (0.251)	Data 0.116 (0.187)	Loss 3.7389 (3.7188)	Prec@1 16.016 (19.075)	Prec@5 44.922 (43.834)
Epoch: [34][3300/7045]	Time 0.465 (0.251)	Data 0.411 (0.187)	Loss 3.6623 (3.7186)	Prec@1 16.797 (19.078)	Prec@5 43.750 (43.837)
Epoch: [34][3310/7045]	Time 0.131 (0.251)	Data 0.080 (0.187)	Loss 3.6904 (3.7186)	Prec@1 17.578 (19.076)	Prec@5 47.266 (43.836)
Epoch: [34][3320/7045]	Time 0.113 (0.251)	Data 0.062 (0.187)	Loss 3.5583 (3.7184)	Prec@1 20.312 (19.076)	Prec@5 45.703 (43.838)
Epoch: [34][3330/7045]	Time 0.299 (0.251)	Data 0.247 (0.187)	Loss 3.7687 (3.7183)	Prec@1 19.141 (19.080)	Prec@5 39.844 (43.842)
Epoch: [34][3340/7045]	Time 0.303 (0.251)	Data 0.253 (0.187)	Loss 3.5852 (3.7181)	Prec@1 19.922 (19.083)	Prec@5 47.266 (43.845)
Epoch: [34][3350/7045]	Time 0.255 (0.251)	Data 0.203 (0.187)	Loss 3.6443 (3.7179)	Prec@1 19.141 (19.084)	Prec@5 42.578 (43.849)
Epoch: [34][3360/7045]	Time 0.109 (0.251)	Data 0.058 (0.187)	Loss 3.6639 (3.7178)	Prec@1 17.969 (19.082)	Prec@5 45.312 (43.852)
Epoch: [34][3370/7045]	Time 0.496 (0.251)	Data 0.438 (0.187)	Loss 3.7358 (3.7177)	Prec@1 18.750 (19.085)	Prec@5 42.188 (43.852)
Epoch: [34][3380/7045]	Time 0.102 (0.250)	Data 0.007 (0.187)	Loss 3.9672 (3.7178)	Prec@1 14.453 (19.081)	Prec@5 38.281 (43.849)
Epoch: [34][3390/7045]	Time 0.200 (0.251)	Data 0.148 (0.187)	Loss 3.6973 (3.7178)	Prec@1 22.656 (19.082)	Prec@5 47.656 (43.851)
Epoch: [34][3400/7045]	Time 0.109 (0.250)	Data 0.057 (0.187)	Loss 3.8395 (3.7176)	Prec@1 16.406 (19.082)	Prec@5 40.234 (43.853)
Epoch: [34][3410/7045]	Time 0.255 (0.251)	Data 0.204 (0.187)	Loss 3.6840 (3.7176)	Prec@1 22.266 (19.084)	Prec@5 45.703 (43.856)
Epoch: [34][3420/7045]	Time 0.159 (0.251)	Data 0.108 (0.187)	Loss 3.5433 (3.7176)	Prec@1 22.266 (19.085)	Prec@5 47.266 (43.858)
Epoch: [34][3430/7045]	Time 0.385 (0.251)	Data 0.334 (0.187)	Loss 3.6002 (3.7176)	Prec@1 21.484 (19.082)	Prec@5 46.484 (43.862)
Epoch: [34][3440/7045]	Time 0.108 (0.251)	Data 0.056 (0.187)	Loss 3.8770 (3.7175)	Prec@1 17.969 (19.082)	Prec@5 40.625 (43.863)
Epoch: [34][3450/7045]	Time 0.549 (0.251)	Data 0.498 (0.187)	Loss 3.6864 (3.7174)	Prec@1 19.922 (19.085)	Prec@5 48.828 (43.867)
Epoch: [34][3460/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 3.6786 (3.7172)	Prec@1 17.578 (19.088)	Prec@5 46.875 (43.872)
Epoch: [34][3470/7045]	Time 0.561 (0.251)	Data 0.510 (0.187)	Loss 3.8302 (3.7173)	Prec@1 20.312 (19.087)	Prec@5 42.188 (43.869)
Epoch: [34][3480/7045]	Time 0.220 (0.251)	Data 0.169 (0.187)	Loss 3.7919 (3.7173)	Prec@1 16.406 (19.089)	Prec@5 43.359 (43.869)
Epoch: [34][3490/7045]	Time 0.540 (0.251)	Data 0.489 (0.187)	Loss 3.5632 (3.7173)	Prec@1 20.312 (19.087)	Prec@5 45.703 (43.867)
Epoch: [34][3500/7045]	Time 0.193 (0.250)	Data 0.141 (0.187)	Loss 3.4945 (3.7173)	Prec@1 21.875 (19.087)	Prec@5 48.047 (43.868)
Epoch: [34][3510/7045]	Time 0.328 (0.250)	Data 0.278 (0.187)	Loss 3.8263 (3.7172)	Prec@1 17.969 (19.091)	Prec@5 42.188 (43.871)
Epoch: [34][3520/7045]	Time 0.494 (0.250)	Data 0.444 (0.187)	Loss 3.6789 (3.7170)	Prec@1 18.359 (19.092)	Prec@5 43.359 (43.878)
Epoch: [34][3530/7045]	Time 0.103 (0.250)	Data 0.051 (0.187)	Loss 3.8668 (3.7171)	Prec@1 15.234 (19.087)	Prec@5 44.141 (43.878)
Epoch: [34][3540/7045]	Time 0.498 (0.250)	Data 0.446 (0.187)	Loss 3.5657 (3.7170)	Prec@1 21.484 (19.087)	Prec@5 46.875 (43.877)
Epoch: [34][3550/7045]	Time 0.101 (0.250)	Data 0.048 (0.187)	Loss 3.5417 (3.7171)	Prec@1 20.312 (19.084)	Prec@5 44.141 (43.873)
Epoch: [34][3560/7045]	Time 0.580 (0.250)	Data 0.522 (0.187)	Loss 3.8005 (3.7170)	Prec@1 21.094 (19.086)	Prec@5 42.969 (43.875)
Epoch: [34][3570/7045]	Time 0.173 (0.250)	Data 0.122 (0.187)	Loss 3.7238 (3.7170)	Prec@1 17.969 (19.084)	Prec@5 42.578 (43.872)
Epoch: [34][3580/7045]	Time 0.492 (0.250)	Data 0.442 (0.187)	Loss 3.7577 (3.7171)	Prec@1 23.047 (19.082)	Prec@5 44.531 (43.873)
Epoch: [34][3590/7045]	Time 0.344 (0.250)	Data 0.292 (0.187)	Loss 3.7114 (3.7169)	Prec@1 18.359 (19.084)	Prec@5 45.703 (43.878)
Epoch: [34][3600/7045]	Time 0.142 (0.250)	Data 0.091 (0.187)	Loss 3.6447 (3.7170)	Prec@1 17.578 (19.083)	Prec@5 45.312 (43.877)
Epoch: [34][3610/7045]	Time 0.242 (0.250)	Data 0.178 (0.187)	Loss 3.4533 (3.7169)	Prec@1 21.875 (19.084)	Prec@5 50.391 (43.877)
Epoch: [34][3620/7045]	Time 0.101 (0.250)	Data 0.001 (0.187)	Loss 3.7387 (3.7168)	Prec@1 16.406 (19.081)	Prec@5 44.141 (43.878)
Epoch: [34][3630/7045]	Time 0.111 (0.250)	Data 0.058 (0.187)	Loss 3.5755 (3.7167)	Prec@1 17.188 (19.080)	Prec@5 46.484 (43.881)
Epoch: [34][3640/7045]	Time 0.333 (0.250)	Data 0.281 (0.187)	Loss 3.7019 (3.7166)	Prec@1 18.359 (19.082)	Prec@5 46.094 (43.885)
Epoch: [34][3650/7045]	Time 0.114 (0.250)	Data 0.063 (0.187)	Loss 3.5387 (3.7167)	Prec@1 17.578 (19.080)	Prec@5 45.703 (43.884)
Epoch: [34][3660/7045]	Time 0.470 (0.250)	Data 0.420 (0.187)	Loss 3.5631 (3.7167)	Prec@1 21.484 (19.081)	Prec@5 45.703 (43.884)
Epoch: [34][3670/7045]	Time 0.133 (0.250)	Data 0.075 (0.187)	Loss 3.7777 (3.7167)	Prec@1 18.750 (19.080)	Prec@5 43.750 (43.883)
Epoch: [34][3680/7045]	Time 0.542 (0.250)	Data 0.488 (0.187)	Loss 3.5070 (3.7166)	Prec@1 21.094 (19.080)	Prec@5 49.219 (43.885)
Epoch: [34][3690/7045]	Time 0.115 (0.250)	Data 0.062 (0.187)	Loss 3.8997 (3.7165)	Prec@1 17.188 (19.082)	Prec@5 41.016 (43.889)
Epoch: [34][3700/7045]	Time 0.183 (0.250)	Data 0.131 (0.187)	Loss 3.7240 (3.7165)	Prec@1 21.094 (19.084)	Prec@5 48.438 (43.892)
Epoch: [34][3710/7045]	Time 0.110 (0.250)	Data 0.058 (0.187)	Loss 3.7135 (3.7163)	Prec@1 18.359 (19.087)	Prec@5 41.016 (43.897)
Epoch: [34][3720/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 3.9348 (3.7163)	Prec@1 13.672 (19.086)	Prec@5 39.062 (43.895)
Epoch: [34][3730/7045]	Time 0.208 (0.250)	Data 0.158 (0.187)	Loss 3.7082 (3.7160)	Prec@1 19.922 (19.090)	Prec@5 40.625 (43.899)
Epoch: [34][3740/7045]	Time 0.101 (0.250)	Data 0.001 (0.187)	Loss 3.6664 (3.7160)	Prec@1 17.969 (19.090)	Prec@5 43.359 (43.897)
Epoch: [34][3750/7045]	Time 0.346 (0.250)	Data 0.287 (0.187)	Loss 3.6399 (3.7159)	Prec@1 22.656 (19.095)	Prec@5 49.219 (43.904)
Epoch: [34][3760/7045]	Time 0.108 (0.250)	Data 0.001 (0.187)	Loss 3.5339 (3.7158)	Prec@1 19.531 (19.096)	Prec@5 48.047 (43.906)
Epoch: [34][3770/7045]	Time 0.595 (0.250)	Data 0.544 (0.187)	Loss 3.5110 (3.7157)	Prec@1 21.875 (19.098)	Prec@5 53.125 (43.911)
Epoch: [34][3780/7045]	Time 0.108 (0.250)	Data 0.046 (0.187)	Loss 3.6439 (3.7156)	Prec@1 21.484 (19.099)	Prec@5 48.047 (43.914)
Epoch: [34][3790/7045]	Time 0.551 (0.250)	Data 0.501 (0.187)	Loss 3.7599 (3.7155)	Prec@1 17.188 (19.100)	Prec@5 42.578 (43.915)
Epoch: [34][3800/7045]	Time 0.297 (0.250)	Data 0.246 (0.187)	Loss 3.8367 (3.7155)	Prec@1 14.844 (19.100)	Prec@5 40.234 (43.916)
Epoch: [34][3810/7045]	Time 0.204 (0.250)	Data 0.153 (0.187)	Loss 3.9563 (3.7155)	Prec@1 16.797 (19.100)	Prec@5 39.062 (43.918)
Epoch: [34][3820/7045]	Time 0.159 (0.250)	Data 0.108 (0.187)	Loss 3.6586 (3.7155)	Prec@1 19.531 (19.100)	Prec@5 43.359 (43.920)
Epoch: [34][3830/7045]	Time 0.111 (0.250)	Data 0.060 (0.187)	Loss 3.7571 (3.7153)	Prec@1 16.797 (19.102)	Prec@5 43.750 (43.925)
Epoch: [34][3840/7045]	Time 0.157 (0.250)	Data 0.106 (0.187)	Loss 3.8329 (3.7152)	Prec@1 19.531 (19.106)	Prec@5 45.703 (43.929)
Epoch: [34][3850/7045]	Time 0.306 (0.250)	Data 0.255 (0.187)	Loss 3.7774 (3.7151)	Prec@1 21.094 (19.109)	Prec@5 45.703 (43.932)
Epoch: [34][3860/7045]	Time 0.413 (0.250)	Data 0.361 (0.187)	Loss 3.8425 (3.7152)	Prec@1 15.234 (19.107)	Prec@5 39.062 (43.928)
Epoch: [34][3870/7045]	Time 0.110 (0.250)	Data 0.046 (0.187)	Loss 3.7085 (3.7152)	Prec@1 19.922 (19.110)	Prec@5 45.703 (43.927)
Epoch: [34][3880/7045]	Time 0.761 (0.250)	Data 0.709 (0.187)	Loss 3.5442 (3.7151)	Prec@1 20.703 (19.115)	Prec@5 48.828 (43.928)
Epoch: [34][3890/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 3.6703 (3.7150)	Prec@1 21.094 (19.115)	Prec@5 46.875 (43.929)
Epoch: [34][3900/7045]	Time 0.547 (0.250)	Data 0.496 (0.187)	Loss 3.4474 (3.7150)	Prec@1 21.094 (19.115)	Prec@5 48.828 (43.932)
Epoch: [34][3910/7045]	Time 0.135 (0.250)	Data 0.084 (0.187)	Loss 4.0515 (3.7150)	Prec@1 14.453 (19.116)	Prec@5 37.500 (43.930)
Epoch: [34][3920/7045]	Time 0.725 (0.250)	Data 0.666 (0.187)	Loss 3.5738 (3.7150)	Prec@1 22.656 (19.116)	Prec@5 44.141 (43.931)
Epoch: [34][3930/7045]	Time 0.111 (0.250)	Data 0.001 (0.187)	Loss 3.6242 (3.7149)	Prec@1 20.703 (19.115)	Prec@5 46.875 (43.933)
Epoch: [34][3940/7045]	Time 0.481 (0.250)	Data 0.431 (0.187)	Loss 3.7347 (3.7148)	Prec@1 19.922 (19.115)	Prec@5 42.188 (43.934)
Epoch: [34][3950/7045]	Time 0.102 (0.250)	Data 0.050 (0.187)	Loss 3.6377 (3.7147)	Prec@1 21.484 (19.115)	Prec@5 46.094 (43.938)
Epoch: [34][3960/7045]	Time 0.276 (0.250)	Data 0.225 (0.187)	Loss 3.5183 (3.7147)	Prec@1 21.094 (19.114)	Prec@5 46.875 (43.939)
Epoch: [34][3970/7045]	Time 0.109 (0.250)	Data 0.001 (0.187)	Loss 3.8075 (3.7146)	Prec@1 20.703 (19.116)	Prec@5 41.797 (43.939)
Epoch: [34][3980/7045]	Time 0.103 (0.250)	Data 0.001 (0.187)	Loss 3.6688 (3.7145)	Prec@1 19.922 (19.117)	Prec@5 45.312 (43.940)
Epoch: [34][3990/7045]	Time 0.102 (0.250)	Data 0.005 (0.187)	Loss 3.6323 (3.7144)	Prec@1 21.094 (19.120)	Prec@5 48.438 (43.942)
Epoch: [34][4000/7045]	Time 0.247 (0.250)	Data 0.196 (0.187)	Loss 3.7647 (3.7144)	Prec@1 17.578 (19.123)	Prec@5 43.750 (43.944)
Epoch: [34][4010/7045]	Time 0.120 (0.250)	Data 0.070 (0.187)	Loss 3.5664 (3.7142)	Prec@1 23.047 (19.127)	Prec@5 46.094 (43.947)
Epoch: [34][4020/7045]	Time 0.535 (0.250)	Data 0.483 (0.187)	Loss 3.6561 (3.7142)	Prec@1 19.922 (19.129)	Prec@5 44.922 (43.949)
Epoch: [34][4030/7045]	Time 0.176 (0.250)	Data 0.126 (0.187)	Loss 3.6220 (3.7141)	Prec@1 21.875 (19.131)	Prec@5 44.141 (43.951)
Epoch: [34][4040/7045]	Time 0.574 (0.250)	Data 0.523 (0.187)	Loss 3.6982 (3.7141)	Prec@1 19.141 (19.133)	Prec@5 45.312 (43.954)
Epoch: [34][4050/7045]	Time 0.109 (0.250)	Data 0.001 (0.187)	Loss 3.5595 (3.7140)	Prec@1 19.531 (19.137)	Prec@5 45.312 (43.958)
Epoch: [34][4060/7045]	Time 0.674 (0.250)	Data 0.622 (0.187)	Loss 3.6814 (3.7138)	Prec@1 19.922 (19.140)	Prec@5 43.750 (43.961)
Epoch: [34][4070/7045]	Time 0.100 (0.250)	Data 0.002 (0.187)	Loss 3.6020 (3.7139)	Prec@1 19.922 (19.142)	Prec@5 43.359 (43.959)
Epoch: [34][4080/7045]	Time 0.590 (0.250)	Data 0.538 (0.187)	Loss 3.6206 (3.7138)	Prec@1 22.656 (19.143)	Prec@5 48.438 (43.962)
Epoch: [34][4090/7045]	Time 0.099 (0.250)	Data 0.001 (0.187)	Loss 3.7377 (3.7138)	Prec@1 17.578 (19.146)	Prec@5 39.844 (43.963)
Epoch: [34][4100/7045]	Time 0.696 (0.250)	Data 0.645 (0.187)	Loss 3.6551 (3.7137)	Prec@1 20.703 (19.149)	Prec@5 47.266 (43.970)
Epoch: [34][4110/7045]	Time 0.110 (0.250)	Data 0.008 (0.187)	Loss 3.8360 (3.7136)	Prec@1 14.844 (19.148)	Prec@5 42.188 (43.972)
Epoch: [34][4120/7045]	Time 0.523 (0.250)	Data 0.471 (0.187)	Loss 3.6999 (3.7136)	Prec@1 20.703 (19.149)	Prec@5 47.266 (43.974)
Epoch: [34][4130/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 3.8164 (3.7137)	Prec@1 19.531 (19.146)	Prec@5 41.797 (43.973)
Epoch: [34][4140/7045]	Time 0.389 (0.250)	Data 0.338 (0.187)	Loss 3.4971 (3.7135)	Prec@1 21.484 (19.150)	Prec@5 49.609 (43.976)
Epoch: [34][4150/7045]	Time 0.108 (0.250)	Data 0.057 (0.187)	Loss 3.8012 (3.7135)	Prec@1 16.797 (19.149)	Prec@5 43.750 (43.979)
Epoch: [34][4160/7045]	Time 0.181 (0.250)	Data 0.130 (0.187)	Loss 3.7451 (3.7134)	Prec@1 19.531 (19.148)	Prec@5 45.312 (43.980)
Epoch: [34][4170/7045]	Time 0.101 (0.250)	Data 0.001 (0.187)	Loss 3.7596 (3.7132)	Prec@1 18.750 (19.153)	Prec@5 42.969 (43.985)
Epoch: [34][4180/7045]	Time 0.204 (0.250)	Data 0.153 (0.187)	Loss 3.5956 (3.7129)	Prec@1 22.656 (19.158)	Prec@5 44.531 (43.990)
Epoch: [34][4190/7045]	Time 0.103 (0.250)	Data 0.011 (0.187)	Loss 3.6139 (3.7129)	Prec@1 19.531 (19.157)	Prec@5 42.578 (43.992)
Epoch: [34][4200/7045]	Time 0.369 (0.250)	Data 0.318 (0.187)	Loss 3.7264 (3.7130)	Prec@1 20.312 (19.156)	Prec@5 47.656 (43.989)
Epoch: [34][4210/7045]	Time 0.225 (0.250)	Data 0.173 (0.187)	Loss 3.6224 (3.7128)	Prec@1 23.438 (19.160)	Prec@5 47.656 (43.995)
Epoch: [34][4220/7045]	Time 0.363 (0.250)	Data 0.311 (0.187)	Loss 3.6521 (3.7126)	Prec@1 19.922 (19.164)	Prec@5 42.578 (43.999)
Epoch: [34][4230/7045]	Time 0.502 (0.250)	Data 0.452 (0.187)	Loss 3.5640 (3.7126)	Prec@1 23.828 (19.166)	Prec@5 48.438 (43.999)
Epoch: [34][4240/7045]	Time 0.102 (0.250)	Data 0.006 (0.187)	Loss 3.6967 (3.7125)	Prec@1 21.484 (19.169)	Prec@5 44.141 (44.001)
Epoch: [34][4250/7045]	Time 0.403 (0.250)	Data 0.351 (0.187)	Loss 3.7031 (3.7125)	Prec@1 18.750 (19.170)	Prec@5 42.578 (44.002)
Epoch: [34][4260/7045]	Time 0.104 (0.250)	Data 0.053 (0.187)	Loss 3.4411 (3.7124)	Prec@1 23.828 (19.172)	Prec@5 48.047 (44.003)
Epoch: [34][4270/7045]	Time 0.315 (0.250)	Data 0.266 (0.187)	Loss 3.7279 (3.7123)	Prec@1 19.922 (19.173)	Prec@5 44.141 (44.008)
Epoch: [34][4280/7045]	Time 0.191 (0.250)	Data 0.140 (0.187)	Loss 3.7868 (3.7121)	Prec@1 19.141 (19.177)	Prec@5 42.969 (44.009)
Epoch: [34][4290/7045]	Time 0.237 (0.250)	Data 0.186 (0.187)	Loss 3.8761 (3.7121)	Prec@1 14.844 (19.180)	Prec@5 41.406 (44.009)
Epoch: [34][4300/7045]	Time 0.304 (0.250)	Data 0.252 (0.187)	Loss 3.6289 (3.7120)	Prec@1 17.969 (19.181)	Prec@5 43.750 (44.010)
Epoch: [34][4310/7045]	Time 0.190 (0.250)	Data 0.139 (0.187)	Loss 3.5595 (3.7117)	Prec@1 19.531 (19.184)	Prec@5 48.047 (44.015)
Epoch: [34][4320/7045]	Time 0.309 (0.250)	Data 0.259 (0.187)	Loss 3.4907 (3.7116)	Prec@1 23.828 (19.187)	Prec@5 47.266 (44.018)
Epoch: [34][4330/7045]	Time 0.189 (0.250)	Data 0.139 (0.187)	Loss 3.7494 (3.7114)	Prec@1 18.359 (19.187)	Prec@5 40.625 (44.019)
Epoch: [34][4340/7045]	Time 0.237 (0.250)	Data 0.186 (0.187)	Loss 3.8999 (3.7113)	Prec@1 20.312 (19.191)	Prec@5 41.016 (44.021)
Epoch: [34][4350/7045]	Time 0.101 (0.250)	Data 0.047 (0.187)	Loss 3.7128 (3.7115)	Prec@1 24.609 (19.189)	Prec@5 44.922 (44.019)
Epoch: [34][4360/7045]	Time 0.534 (0.251)	Data 0.483 (0.187)	Loss 3.7755 (3.7113)	Prec@1 19.141 (19.190)	Prec@5 43.359 (44.021)
Epoch: [34][4370/7045]	Time 0.100 (0.250)	Data 0.001 (0.187)	Loss 3.6030 (3.7112)	Prec@1 18.750 (19.191)	Prec@5 47.656 (44.026)
Epoch: [34][4380/7045]	Time 0.233 (0.250)	Data 0.182 (0.187)	Loss 3.5310 (3.7109)	Prec@1 21.875 (19.193)	Prec@5 47.266 (44.029)
Epoch: [34][4390/7045]	Time 0.208 (0.250)	Data 0.147 (0.187)	Loss 3.8534 (3.7109)	Prec@1 17.969 (19.193)	Prec@5 42.188 (44.029)
Epoch: [34][4400/7045]	Time 0.109 (0.250)	Data 0.058 (0.187)	Loss 3.5304 (3.7109)	Prec@1 22.266 (19.194)	Prec@5 49.219 (44.033)
Epoch: [34][4410/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 3.6939 (3.7107)	Prec@1 24.219 (19.199)	Prec@5 43.750 (44.037)
Epoch: [34][4420/7045]	Time 0.252 (0.250)	Data 0.202 (0.187)	Loss 3.8207 (3.7105)	Prec@1 16.406 (19.201)	Prec@5 41.406 (44.041)
Epoch: [34][4430/7045]	Time 0.282 (0.250)	Data 0.232 (0.187)	Loss 3.7577 (3.7104)	Prec@1 19.141 (19.204)	Prec@5 41.016 (44.040)
Epoch: [34][4440/7045]	Time 0.589 (0.251)	Data 0.530 (0.187)	Loss 3.4889 (3.7102)	Prec@1 21.484 (19.208)	Prec@5 48.047 (44.045)
Epoch: [34][4450/7045]	Time 0.101 (0.251)	Data 0.022 (0.187)	Loss 3.4907 (3.7101)	Prec@1 24.219 (19.211)	Prec@5 46.875 (44.048)
Epoch: [34][4460/7045]	Time 0.322 (0.251)	Data 0.271 (0.187)	Loss 3.7098 (3.7102)	Prec@1 19.922 (19.211)	Prec@5 42.578 (44.047)
Epoch: [34][4470/7045]	Time 0.102 (0.250)	Data 0.045 (0.187)	Loss 3.8432 (3.7102)	Prec@1 14.062 (19.211)	Prec@5 37.891 (44.047)
Epoch: [34][4480/7045]	Time 0.185 (0.250)	Data 0.133 (0.187)	Loss 3.7082 (3.7101)	Prec@1 18.750 (19.212)	Prec@5 47.266 (44.050)
Epoch: [34][4490/7045]	Time 0.101 (0.251)	Data 0.005 (0.187)	Loss 3.8624 (3.7101)	Prec@1 19.141 (19.213)	Prec@5 41.016 (44.050)
Epoch: [34][4500/7045]	Time 0.101 (0.250)	Data 0.001 (0.187)	Loss 3.6600 (3.7101)	Prec@1 16.797 (19.210)	Prec@5 42.969 (44.049)
Epoch: [34][4510/7045]	Time 0.108 (0.251)	Data 0.002 (0.187)	Loss 3.7247 (3.7102)	Prec@1 19.141 (19.210)	Prec@5 42.578 (44.048)
Epoch: [34][4520/7045]	Time 0.102 (0.250)	Data 0.014 (0.187)	Loss 3.9030 (3.7101)	Prec@1 17.188 (19.211)	Prec@5 42.188 (44.049)
Epoch: [34][4530/7045]	Time 0.203 (0.251)	Data 0.152 (0.187)	Loss 3.7455 (3.7101)	Prec@1 17.578 (19.211)	Prec@5 43.750 (44.052)
Epoch: [34][4540/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.6620 (3.7100)	Prec@1 18.359 (19.212)	Prec@5 43.750 (44.053)
Epoch: [34][4550/7045]	Time 0.473 (0.251)	Data 0.422 (0.187)	Loss 3.6087 (3.7100)	Prec@1 23.828 (19.213)	Prec@5 46.484 (44.056)
Epoch: [34][4560/7045]	Time 0.110 (0.251)	Data 0.001 (0.187)	Loss 3.7532 (3.7098)	Prec@1 18.359 (19.214)	Prec@5 44.141 (44.059)
Epoch: [34][4570/7045]	Time 0.602 (0.251)	Data 0.548 (0.187)	Loss 3.6622 (3.7097)	Prec@1 22.656 (19.216)	Prec@5 44.141 (44.061)
Epoch: [34][4580/7045]	Time 0.106 (0.251)	Data 0.053 (0.187)	Loss 3.7563 (3.7096)	Prec@1 20.312 (19.217)	Prec@5 42.969 (44.063)
Epoch: [34][4590/7045]	Time 0.366 (0.251)	Data 0.315 (0.187)	Loss 3.6758 (3.7096)	Prec@1 19.922 (19.218)	Prec@5 45.703 (44.063)
Epoch: [34][4600/7045]	Time 0.110 (0.251)	Data 0.059 (0.187)	Loss 3.5811 (3.7096)	Prec@1 22.656 (19.222)	Prec@5 46.094 (44.063)
Epoch: [34][4610/7045]	Time 0.218 (0.251)	Data 0.166 (0.187)	Loss 3.5569 (3.7098)	Prec@1 17.969 (19.221)	Prec@5 48.047 (44.059)
Epoch: [34][4620/7045]	Time 0.319 (0.251)	Data 0.269 (0.187)	Loss 3.6061 (3.7096)	Prec@1 19.141 (19.223)	Prec@5 44.141 (44.064)
Epoch: [34][4630/7045]	Time 0.223 (0.251)	Data 0.172 (0.187)	Loss 3.4452 (3.7094)	Prec@1 21.875 (19.224)	Prec@5 50.391 (44.068)
Epoch: [34][4640/7045]	Time 0.100 (0.251)	Data 0.047 (0.187)	Loss 3.4751 (3.7093)	Prec@1 21.875 (19.227)	Prec@5 46.875 (44.068)
Epoch: [34][4650/7045]	Time 0.208 (0.251)	Data 0.157 (0.187)	Loss 3.8277 (3.7094)	Prec@1 20.312 (19.225)	Prec@5 39.844 (44.067)
Epoch: [34][4660/7045]	Time 0.286 (0.251)	Data 0.235 (0.187)	Loss 3.4435 (3.7093)	Prec@1 22.656 (19.227)	Prec@5 50.391 (44.068)
Epoch: [34][4670/7045]	Time 0.152 (0.251)	Data 0.102 (0.187)	Loss 3.5173 (3.7092)	Prec@1 23.047 (19.232)	Prec@5 48.047 (44.070)
Epoch: [34][4680/7045]	Time 0.502 (0.251)	Data 0.451 (0.187)	Loss 3.6136 (3.7091)	Prec@1 22.266 (19.232)	Prec@5 45.703 (44.072)
Epoch: [34][4690/7045]	Time 0.107 (0.251)	Data 0.055 (0.187)	Loss 3.5776 (3.7091)	Prec@1 21.094 (19.232)	Prec@5 46.094 (44.072)
Epoch: [34][4700/7045]	Time 0.129 (0.251)	Data 0.077 (0.187)	Loss 3.6929 (3.7091)	Prec@1 24.219 (19.235)	Prec@5 44.922 (44.071)
Epoch: [34][4710/7045]	Time 0.174 (0.251)	Data 0.114 (0.187)	Loss 3.9490 (3.7091)	Prec@1 12.891 (19.235)	Prec@5 37.891 (44.070)
Epoch: [34][4720/7045]	Time 0.207 (0.251)	Data 0.156 (0.187)	Loss 3.7552 (3.7091)	Prec@1 15.234 (19.234)	Prec@5 44.531 (44.068)
Epoch: [34][4730/7045]	Time 0.249 (0.251)	Data 0.191 (0.187)	Loss 3.6738 (3.7089)	Prec@1 20.703 (19.238)	Prec@5 43.750 (44.071)
Epoch: [34][4740/7045]	Time 0.206 (0.251)	Data 0.155 (0.187)	Loss 3.7599 (3.7091)	Prec@1 16.406 (19.237)	Prec@5 41.016 (44.069)
Epoch: [34][4750/7045]	Time 0.130 (0.251)	Data 0.078 (0.187)	Loss 3.7322 (3.7091)	Prec@1 19.141 (19.236)	Prec@5 46.094 (44.069)
Epoch: [34][4760/7045]	Time 0.108 (0.251)	Data 0.056 (0.187)	Loss 3.8725 (3.7091)	Prec@1 14.844 (19.236)	Prec@5 41.406 (44.069)
Epoch: [34][4770/7045]	Time 0.101 (0.251)	Data 0.005 (0.187)	Loss 3.6425 (3.7091)	Prec@1 19.922 (19.236)	Prec@5 44.531 (44.070)
Epoch: [34][4780/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 3.6813 (3.7089)	Prec@1 18.359 (19.239)	Prec@5 46.484 (44.075)
Epoch: [34][4790/7045]	Time 0.180 (0.251)	Data 0.128 (0.187)	Loss 3.7287 (3.7089)	Prec@1 20.703 (19.241)	Prec@5 45.312 (44.078)
Epoch: [34][4800/7045]	Time 0.288 (0.251)	Data 0.237 (0.187)	Loss 3.4982 (3.7089)	Prec@1 21.094 (19.240)	Prec@5 50.391 (44.078)
Epoch: [34][4810/7045]	Time 0.198 (0.251)	Data 0.148 (0.187)	Loss 3.6762 (3.7089)	Prec@1 19.922 (19.240)	Prec@5 45.703 (44.079)
Epoch: [34][4820/7045]	Time 0.106 (0.251)	Data 0.054 (0.187)	Loss 3.6808 (3.7088)	Prec@1 14.062 (19.242)	Prec@5 40.625 (44.080)
Epoch: [34][4830/7045]	Time 0.114 (0.251)	Data 0.062 (0.187)	Loss 3.7876 (3.7087)	Prec@1 17.969 (19.242)	Prec@5 42.969 (44.082)
Epoch: [34][4840/7045]	Time 0.242 (0.251)	Data 0.191 (0.187)	Loss 3.6788 (3.7086)	Prec@1 19.531 (19.242)	Prec@5 41.016 (44.083)
Epoch: [34][4850/7045]	Time 0.109 (0.251)	Data 0.056 (0.187)	Loss 3.5433 (3.7085)	Prec@1 20.312 (19.241)	Prec@5 48.438 (44.085)
Epoch: [34][4860/7045]	Time 0.160 (0.251)	Data 0.109 (0.187)	Loss 3.6689 (3.7085)	Prec@1 17.578 (19.239)	Prec@5 42.578 (44.085)
Epoch: [34][4870/7045]	Time 0.111 (0.251)	Data 0.058 (0.187)	Loss 3.7000 (3.7083)	Prec@1 17.578 (19.240)	Prec@5 44.141 (44.088)
Epoch: [34][4880/7045]	Time 0.101 (0.251)	Data 0.016 (0.187)	Loss 3.7656 (3.7083)	Prec@1 19.922 (19.240)	Prec@5 43.750 (44.089)
Epoch: [34][4890/7045]	Time 0.287 (0.251)	Data 0.237 (0.187)	Loss 3.7565 (3.7083)	Prec@1 21.094 (19.238)	Prec@5 46.094 (44.088)
Epoch: [34][4900/7045]	Time 0.107 (0.251)	Data 0.001 (0.187)	Loss 3.8859 (3.7081)	Prec@1 16.797 (19.241)	Prec@5 41.797 (44.092)
Epoch: [34][4910/7045]	Time 0.304 (0.251)	Data 0.253 (0.187)	Loss 3.6304 (3.7079)	Prec@1 18.750 (19.246)	Prec@5 47.656 (44.098)
Epoch: [34][4920/7045]	Time 0.520 (0.251)	Data 0.469 (0.187)	Loss 3.4926 (3.7078)	Prec@1 18.750 (19.247)	Prec@5 45.312 (44.100)
Epoch: [34][4930/7045]	Time 0.101 (0.251)	Data 0.049 (0.187)	Loss 3.8012 (3.7078)	Prec@1 19.922 (19.247)	Prec@5 44.141 (44.101)
Epoch: [34][4940/7045]	Time 0.555 (0.251)	Data 0.495 (0.187)	Loss 3.7104 (3.7078)	Prec@1 22.266 (19.247)	Prec@5 45.312 (44.104)
Epoch: [34][4950/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 3.7108 (3.7077)	Prec@1 21.484 (19.251)	Prec@5 43.750 (44.107)
Epoch: [34][4960/7045]	Time 0.248 (0.251)	Data 0.197 (0.187)	Loss 3.6958 (3.7078)	Prec@1 17.969 (19.250)	Prec@5 42.969 (44.104)
Epoch: [34][4970/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.6764 (3.7077)	Prec@1 19.922 (19.250)	Prec@5 49.219 (44.108)
Epoch: [34][4980/7045]	Time 0.110 (0.251)	Data 0.001 (0.187)	Loss 3.7546 (3.7077)	Prec@1 17.188 (19.248)	Prec@5 40.234 (44.109)
Epoch: [34][4990/7045]	Time 0.443 (0.251)	Data 0.393 (0.187)	Loss 3.7777 (3.7077)	Prec@1 19.141 (19.248)	Prec@5 42.578 (44.108)
Epoch: [34][5000/7045]	Time 0.100 (0.251)	Data 0.001 (0.187)	Loss 3.7733 (3.7077)	Prec@1 19.922 (19.248)	Prec@5 44.922 (44.109)
Epoch: [34][5010/7045]	Time 0.278 (0.251)	Data 0.227 (0.187)	Loss 3.6577 (3.7077)	Prec@1 21.484 (19.251)	Prec@5 45.312 (44.112)
Epoch: [34][5020/7045]	Time 0.103 (0.251)	Data 0.001 (0.187)	Loss 3.7981 (3.7077)	Prec@1 16.797 (19.251)	Prec@5 43.359 (44.112)
Epoch: [34][5030/7045]	Time 0.101 (0.251)	Data 0.044 (0.187)	Loss 3.6808 (3.7076)	Prec@1 19.531 (19.253)	Prec@5 43.359 (44.114)
Epoch: [34][5040/7045]	Time 0.241 (0.251)	Data 0.189 (0.187)	Loss 3.5365 (3.7075)	Prec@1 19.141 (19.255)	Prec@5 45.703 (44.117)
Epoch: [34][5050/7045]	Time 0.102 (0.251)	Data 0.002 (0.187)	Loss 3.6271 (3.7073)	Prec@1 19.531 (19.257)	Prec@5 44.141 (44.122)
Epoch: [34][5060/7045]	Time 0.103 (0.251)	Data 0.050 (0.187)	Loss 3.7508 (3.7074)	Prec@1 19.141 (19.258)	Prec@5 45.312 (44.123)
Epoch: [34][5070/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.7434 (3.7073)	Prec@1 16.797 (19.259)	Prec@5 46.484 (44.125)
Epoch: [34][5080/7045]	Time 0.110 (0.251)	Data 0.058 (0.187)	Loss 3.8240 (3.7072)	Prec@1 18.359 (19.260)	Prec@5 39.844 (44.128)
Epoch: [34][5090/7045]	Time 0.111 (0.251)	Data 0.058 (0.187)	Loss 3.8808 (3.7071)	Prec@1 17.188 (19.262)	Prec@5 38.281 (44.130)
Epoch: [34][5100/7045]	Time 0.147 (0.251)	Data 0.096 (0.187)	Loss 3.7097 (3.7071)	Prec@1 19.531 (19.261)	Prec@5 44.141 (44.132)
Epoch: [34][5110/7045]	Time 0.108 (0.251)	Data 0.020 (0.187)	Loss 3.5863 (3.7069)	Prec@1 22.656 (19.263)	Prec@5 46.484 (44.135)
Epoch: [34][5120/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.8000 (3.7067)	Prec@1 21.484 (19.266)	Prec@5 42.969 (44.140)
Epoch: [34][5130/7045]	Time 0.222 (0.251)	Data 0.164 (0.187)	Loss 3.7732 (3.7066)	Prec@1 16.406 (19.265)	Prec@5 37.891 (44.142)
Epoch: [34][5140/7045]	Time 0.102 (0.251)	Data 0.006 (0.187)	Loss 3.7665 (3.7063)	Prec@1 15.234 (19.265)	Prec@5 39.453 (44.146)
Epoch: [34][5150/7045]	Time 0.211 (0.251)	Data 0.161 (0.187)	Loss 3.4087 (3.7062)	Prec@1 22.266 (19.266)	Prec@5 51.562 (44.148)
Epoch: [34][5160/7045]	Time 0.124 (0.251)	Data 0.072 (0.187)	Loss 3.9233 (3.7062)	Prec@1 15.625 (19.266)	Prec@5 40.234 (44.150)
Epoch: [34][5170/7045]	Time 0.340 (0.251)	Data 0.289 (0.187)	Loss 3.4343 (3.7060)	Prec@1 26.562 (19.267)	Prec@5 50.781 (44.151)
Epoch: [34][5180/7045]	Time 0.450 (0.251)	Data 0.398 (0.187)	Loss 3.7993 (3.7060)	Prec@1 19.531 (19.266)	Prec@5 40.625 (44.150)
Epoch: [34][5190/7045]	Time 0.101 (0.251)	Data 0.006 (0.187)	Loss 3.6478 (3.7058)	Prec@1 20.703 (19.271)	Prec@5 44.141 (44.156)
Epoch: [34][5200/7045]	Time 0.270 (0.251)	Data 0.217 (0.187)	Loss 3.7877 (3.7058)	Prec@1 19.531 (19.269)	Prec@5 41.797 (44.158)
Epoch: [34][5210/7045]	Time 0.102 (0.251)	Data 0.012 (0.187)	Loss 3.7381 (3.7058)	Prec@1 17.188 (19.268)	Prec@5 43.750 (44.158)
Epoch: [34][5220/7045]	Time 0.327 (0.251)	Data 0.278 (0.187)	Loss 3.5214 (3.7056)	Prec@1 18.359 (19.270)	Prec@5 49.609 (44.163)
Epoch: [34][5230/7045]	Time 0.101 (0.251)	Data 0.014 (0.187)	Loss 3.6540 (3.7056)	Prec@1 21.484 (19.269)	Prec@5 44.531 (44.162)
Epoch: [34][5240/7045]	Time 0.101 (0.251)	Data 0.047 (0.187)	Loss 3.5259 (3.7056)	Prec@1 20.312 (19.269)	Prec@5 49.609 (44.162)
Epoch: [34][5250/7045]	Time 0.102 (0.251)	Data 0.046 (0.187)	Loss 3.8634 (3.7056)	Prec@1 16.406 (19.269)	Prec@5 44.141 (44.161)
Epoch: [34][5260/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.7414 (3.7056)	Prec@1 20.312 (19.271)	Prec@5 43.750 (44.162)
Epoch: [34][5270/7045]	Time 0.283 (0.251)	Data 0.232 (0.187)	Loss 3.6821 (3.7055)	Prec@1 19.531 (19.272)	Prec@5 42.188 (44.163)
Epoch: [34][5280/7045]	Time 0.198 (0.251)	Data 0.146 (0.187)	Loss 3.7884 (3.7053)	Prec@1 15.625 (19.274)	Prec@5 40.625 (44.167)
Epoch: [34][5290/7045]	Time 0.171 (0.251)	Data 0.119 (0.187)	Loss 3.4139 (3.7053)	Prec@1 24.609 (19.274)	Prec@5 47.656 (44.169)
Epoch: [34][5300/7045]	Time 0.428 (0.251)	Data 0.369 (0.187)	Loss 3.5149 (3.7053)	Prec@1 18.750 (19.274)	Prec@5 47.656 (44.169)
Epoch: [34][5310/7045]	Time 0.101 (0.251)	Data 0.048 (0.187)	Loss 3.5918 (3.7052)	Prec@1 21.484 (19.274)	Prec@5 46.484 (44.171)
Epoch: [34][5320/7045]	Time 0.220 (0.251)	Data 0.170 (0.187)	Loss 3.7942 (3.7050)	Prec@1 17.578 (19.276)	Prec@5 43.359 (44.174)
Epoch: [34][5330/7045]	Time 0.398 (0.251)	Data 0.347 (0.187)	Loss 3.7569 (3.7050)	Prec@1 18.750 (19.277)	Prec@5 43.359 (44.174)
Epoch: [34][5340/7045]	Time 0.130 (0.251)	Data 0.078 (0.187)	Loss 3.5442 (3.7049)	Prec@1 23.438 (19.281)	Prec@5 46.484 (44.177)
Epoch: [34][5350/7045]	Time 0.556 (0.251)	Data 0.496 (0.187)	Loss 3.8630 (3.7048)	Prec@1 19.922 (19.282)	Prec@5 40.234 (44.180)
Epoch: [34][5360/7045]	Time 0.110 (0.251)	Data 0.001 (0.187)	Loss 3.6466 (3.7047)	Prec@1 14.844 (19.282)	Prec@5 46.484 (44.183)
Epoch: [34][5370/7045]	Time 0.585 (0.251)	Data 0.533 (0.187)	Loss 3.9633 (3.7049)	Prec@1 14.844 (19.280)	Prec@5 39.453 (44.181)
Epoch: [34][5380/7045]	Time 0.223 (0.251)	Data 0.173 (0.187)	Loss 3.3848 (3.7048)	Prec@1 26.562 (19.282)	Prec@5 51.172 (44.182)
Epoch: [34][5390/7045]	Time 0.311 (0.251)	Data 0.260 (0.187)	Loss 3.5993 (3.7048)	Prec@1 18.359 (19.283)	Prec@5 46.875 (44.183)
Epoch: [34][5400/7045]	Time 0.101 (0.251)	Data 0.009 (0.187)	Loss 3.6397 (3.7048)	Prec@1 20.312 (19.284)	Prec@5 48.828 (44.181)
Epoch: [34][5410/7045]	Time 0.112 (0.251)	Data 0.060 (0.187)	Loss 3.5914 (3.7047)	Prec@1 18.750 (19.285)	Prec@5 45.703 (44.183)
Epoch: [34][5420/7045]	Time 0.188 (0.251)	Data 0.136 (0.187)	Loss 3.7604 (3.7047)	Prec@1 22.656 (19.286)	Prec@5 45.312 (44.182)
Epoch: [34][5430/7045]	Time 0.101 (0.251)	Data 0.048 (0.187)	Loss 3.7029 (3.7046)	Prec@1 18.359 (19.288)	Prec@5 41.797 (44.184)
Epoch: [34][5440/7045]	Time 0.120 (0.251)	Data 0.069 (0.187)	Loss 3.7501 (3.7045)	Prec@1 18.359 (19.290)	Prec@5 43.750 (44.185)
Epoch: [34][5450/7045]	Time 0.128 (0.251)	Data 0.076 (0.187)	Loss 3.6806 (3.7045)	Prec@1 23.047 (19.291)	Prec@5 46.094 (44.185)
Epoch: [34][5460/7045]	Time 0.101 (0.251)	Data 0.005 (0.187)	Loss 3.6090 (3.7045)	Prec@1 18.750 (19.292)	Prec@5 49.219 (44.186)
Epoch: [34][5470/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.6906 (3.7046)	Prec@1 19.531 (19.292)	Prec@5 46.484 (44.184)
Epoch: [34][5480/7045]	Time 0.394 (0.251)	Data 0.343 (0.187)	Loss 3.8951 (3.7045)	Prec@1 17.188 (19.292)	Prec@5 39.453 (44.187)
Epoch: [34][5490/7045]	Time 0.108 (0.251)	Data 0.012 (0.187)	Loss 3.6288 (3.7045)	Prec@1 19.922 (19.291)	Prec@5 45.703 (44.187)
Epoch: [34][5500/7045]	Time 0.512 (0.251)	Data 0.460 (0.187)	Loss 3.6223 (3.7044)	Prec@1 23.047 (19.291)	Prec@5 47.266 (44.190)
Epoch: [34][5510/7045]	Time 0.101 (0.251)	Data 0.007 (0.187)	Loss 3.7756 (3.7043)	Prec@1 14.062 (19.292)	Prec@5 41.406 (44.193)
Epoch: [34][5520/7045]	Time 0.417 (0.251)	Data 0.367 (0.187)	Loss 3.6356 (3.7042)	Prec@1 19.922 (19.294)	Prec@5 42.969 (44.195)
Epoch: [34][5530/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 3.6477 (3.7041)	Prec@1 17.578 (19.295)	Prec@5 44.531 (44.197)
Epoch: [34][5540/7045]	Time 0.210 (0.251)	Data 0.159 (0.187)	Loss 3.7166 (3.7040)	Prec@1 21.094 (19.297)	Prec@5 43.750 (44.200)
Epoch: [34][5550/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.5694 (3.7039)	Prec@1 19.922 (19.299)	Prec@5 47.656 (44.205)
Epoch: [34][5560/7045]	Time 0.112 (0.251)	Data 0.060 (0.187)	Loss 3.4760 (3.7038)	Prec@1 23.828 (19.298)	Prec@5 51.953 (44.206)
Epoch: [34][5570/7045]	Time 0.102 (0.251)	Data 0.016 (0.187)	Loss 3.4698 (3.7036)	Prec@1 22.266 (19.300)	Prec@5 50.781 (44.211)
Epoch: [34][5580/7045]	Time 0.226 (0.251)	Data 0.175 (0.187)	Loss 3.6145 (3.7036)	Prec@1 23.047 (19.303)	Prec@5 46.875 (44.211)
Epoch: [34][5590/7045]	Time 0.207 (0.251)	Data 0.148 (0.187)	Loss 3.6639 (3.7036)	Prec@1 18.750 (19.303)	Prec@5 44.141 (44.211)
Epoch: [34][5600/7045]	Time 0.101 (0.251)	Data 0.049 (0.187)	Loss 3.6125 (3.7035)	Prec@1 21.094 (19.305)	Prec@5 43.359 (44.214)
Epoch: [34][5610/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.5660 (3.7034)	Prec@1 22.266 (19.308)	Prec@5 45.312 (44.216)
Epoch: [34][5620/7045]	Time 0.112 (0.251)	Data 0.062 (0.187)	Loss 3.6492 (3.7033)	Prec@1 21.484 (19.311)	Prec@5 46.484 (44.219)
Epoch: [34][5630/7045]	Time 0.180 (0.251)	Data 0.129 (0.187)	Loss 3.6944 (3.7031)	Prec@1 20.312 (19.315)	Prec@5 44.531 (44.224)
Epoch: [34][5640/7045]	Time 0.101 (0.251)	Data 0.016 (0.187)	Loss 3.8742 (3.7030)	Prec@1 18.750 (19.315)	Prec@5 37.109 (44.225)
Epoch: [34][5650/7045]	Time 0.109 (0.251)	Data 0.001 (0.187)	Loss 3.8005 (3.7030)	Prec@1 14.453 (19.316)	Prec@5 39.062 (44.226)
Epoch: [34][5660/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 3.4600 (3.7030)	Prec@1 20.703 (19.317)	Prec@5 46.875 (44.225)
Epoch: [34][5670/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.6418 (3.7030)	Prec@1 21.875 (19.318)	Prec@5 46.094 (44.224)
Epoch: [34][5680/7045]	Time 0.101 (0.251)	Data 0.002 (0.187)	Loss 3.6663 (3.7028)	Prec@1 20.703 (19.322)	Prec@5 41.797 (44.226)
Epoch: [34][5690/7045]	Time 0.142 (0.251)	Data 0.090 (0.187)	Loss 3.5641 (3.7028)	Prec@1 19.922 (19.321)	Prec@5 48.047 (44.226)
Epoch: [34][5700/7045]	Time 0.142 (0.251)	Data 0.090 (0.187)	Loss 3.7340 (3.7028)	Prec@1 21.484 (19.318)	Prec@5 46.875 (44.226)
Epoch: [34][5710/7045]	Time 0.385 (0.251)	Data 0.334 (0.187)	Loss 3.5899 (3.7027)	Prec@1 23.047 (19.319)	Prec@5 46.094 (44.228)
Epoch: [34][5720/7045]	Time 0.157 (0.251)	Data 0.106 (0.187)	Loss 3.6858 (3.7028)	Prec@1 19.922 (19.318)	Prec@5 48.828 (44.229)
Epoch: [34][5730/7045]	Time 0.622 (0.251)	Data 0.571 (0.187)	Loss 3.6787 (3.7028)	Prec@1 20.312 (19.319)	Prec@5 42.578 (44.227)
Epoch: [34][5740/7045]	Time 0.115 (0.251)	Data 0.057 (0.187)	Loss 3.7878 (3.7027)	Prec@1 17.188 (19.319)	Prec@5 40.234 (44.230)
Epoch: [34][5750/7045]	Time 0.588 (0.251)	Data 0.528 (0.187)	Loss 3.6156 (3.7026)	Prec@1 17.578 (19.322)	Prec@5 44.531 (44.233)
Epoch: [34][5760/7045]	Time 0.277 (0.251)	Data 0.226 (0.187)	Loss 3.6765 (3.7026)	Prec@1 19.922 (19.321)	Prec@5 44.531 (44.233)
Epoch: [34][5770/7045]	Time 0.240 (0.251)	Data 0.189 (0.187)	Loss 3.6000 (3.7026)	Prec@1 22.656 (19.321)	Prec@5 46.094 (44.231)
Epoch: [34][5780/7045]	Time 0.345 (0.251)	Data 0.294 (0.187)	Loss 3.6203 (3.7025)	Prec@1 17.578 (19.321)	Prec@5 46.875 (44.234)
Epoch: [34][5790/7045]	Time 0.107 (0.251)	Data 0.055 (0.187)	Loss 3.7329 (3.7025)	Prec@1 18.359 (19.320)	Prec@5 43.359 (44.235)
Epoch: [34][5800/7045]	Time 0.439 (0.251)	Data 0.382 (0.187)	Loss 3.5444 (3.7023)	Prec@1 18.750 (19.321)	Prec@5 45.703 (44.240)
Epoch: [34][5810/7045]	Time 0.241 (0.251)	Data 0.191 (0.187)	Loss 3.8107 (3.7022)	Prec@1 16.797 (19.322)	Prec@5 41.797 (44.243)
Epoch: [34][5820/7045]	Time 0.195 (0.251)	Data 0.143 (0.187)	Loss 3.6461 (3.7021)	Prec@1 21.484 (19.325)	Prec@5 44.922 (44.244)
Epoch: [34][5830/7045]	Time 0.471 (0.251)	Data 0.421 (0.187)	Loss 3.5214 (3.7020)	Prec@1 23.828 (19.326)	Prec@5 48.828 (44.245)
Epoch: [34][5840/7045]	Time 0.102 (0.250)	Data 0.015 (0.187)	Loss 3.5931 (3.7019)	Prec@1 23.047 (19.327)	Prec@5 49.609 (44.248)
Epoch: [34][5850/7045]	Time 0.530 (0.251)	Data 0.479 (0.187)	Loss 3.4572 (3.7018)	Prec@1 21.875 (19.327)	Prec@5 46.094 (44.249)
Epoch: [34][5860/7045]	Time 0.113 (0.250)	Data 0.001 (0.187)	Loss 3.8143 (3.7017)	Prec@1 19.531 (19.327)	Prec@5 42.969 (44.251)
Epoch: [34][5870/7045]	Time 0.608 (0.251)	Data 0.556 (0.187)	Loss 3.8146 (3.7016)	Prec@1 19.922 (19.327)	Prec@5 43.359 (44.252)
Epoch: [34][5880/7045]	Time 0.108 (0.250)	Data 0.001 (0.187)	Loss 3.6800 (3.7015)	Prec@1 16.797 (19.328)	Prec@5 43.750 (44.255)
Epoch: [34][5890/7045]	Time 0.484 (0.251)	Data 0.432 (0.187)	Loss 3.7727 (3.7014)	Prec@1 19.922 (19.329)	Prec@5 42.969 (44.258)
Epoch: [34][5900/7045]	Time 0.170 (0.250)	Data 0.120 (0.187)	Loss 3.6637 (3.7013)	Prec@1 19.531 (19.330)	Prec@5 43.750 (44.259)
Epoch: [34][5910/7045]	Time 0.255 (0.250)	Data 0.204 (0.187)	Loss 3.8141 (3.7013)	Prec@1 17.969 (19.330)	Prec@5 40.625 (44.260)
Epoch: [34][5920/7045]	Time 0.102 (0.251)	Data 0.002 (0.187)	Loss 3.7640 (3.7013)	Prec@1 18.750 (19.331)	Prec@5 43.750 (44.260)
Epoch: [34][5930/7045]	Time 0.100 (0.250)	Data 0.046 (0.187)	Loss 3.7531 (3.7012)	Prec@1 18.359 (19.332)	Prec@5 44.531 (44.262)
Epoch: [34][5940/7045]	Time 0.101 (0.251)	Data 0.047 (0.187)	Loss 3.6070 (3.7011)	Prec@1 19.141 (19.335)	Prec@5 48.828 (44.265)
Epoch: [34][5950/7045]	Time 0.190 (0.251)	Data 0.139 (0.187)	Loss 3.7868 (3.7010)	Prec@1 17.578 (19.335)	Prec@5 44.141 (44.268)
Epoch: [34][5960/7045]	Time 0.111 (0.251)	Data 0.059 (0.187)	Loss 3.4772 (3.7009)	Prec@1 23.438 (19.338)	Prec@5 48.438 (44.271)
Epoch: [34][5970/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.6720 (3.7008)	Prec@1 18.750 (19.341)	Prec@5 44.922 (44.274)
Epoch: [34][5980/7045]	Time 0.103 (0.251)	Data 0.048 (0.187)	Loss 3.6901 (3.7008)	Prec@1 19.922 (19.343)	Prec@5 42.578 (44.273)
Epoch: [34][5990/7045]	Time 0.685 (0.251)	Data 0.634 (0.187)	Loss 3.6898 (3.7007)	Prec@1 19.141 (19.343)	Prec@5 44.141 (44.274)
Epoch: [34][6000/7045]	Time 0.101 (0.251)	Data 0.048 (0.187)	Loss 3.9673 (3.7008)	Prec@1 15.625 (19.341)	Prec@5 39.062 (44.273)
Epoch: [34][6010/7045]	Time 0.715 (0.251)	Data 0.664 (0.187)	Loss 3.7630 (3.7008)	Prec@1 17.188 (19.340)	Prec@5 40.234 (44.272)
Epoch: [34][6020/7045]	Time 0.135 (0.251)	Data 0.085 (0.187)	Loss 3.7415 (3.7009)	Prec@1 15.234 (19.338)	Prec@5 42.188 (44.270)
Epoch: [34][6030/7045]	Time 0.138 (0.251)	Data 0.086 (0.187)	Loss 3.7235 (3.7009)	Prec@1 21.875 (19.339)	Prec@5 44.141 (44.272)
Epoch: [34][6040/7045]	Time 0.500 (0.251)	Data 0.448 (0.187)	Loss 3.6658 (3.7009)	Prec@1 21.875 (19.339)	Prec@5 42.578 (44.270)
Epoch: [34][6050/7045]	Time 0.101 (0.251)	Data 0.044 (0.187)	Loss 3.6613 (3.7010)	Prec@1 22.656 (19.339)	Prec@5 45.312 (44.267)
Epoch: [34][6060/7045]	Time 0.236 (0.251)	Data 0.185 (0.187)	Loss 3.5529 (3.7010)	Prec@1 19.922 (19.337)	Prec@5 46.875 (44.268)
Epoch: [34][6070/7045]	Time 0.434 (0.251)	Data 0.384 (0.187)	Loss 3.5535 (3.7009)	Prec@1 23.828 (19.339)	Prec@5 49.609 (44.271)
Epoch: [34][6080/7045]	Time 0.217 (0.251)	Data 0.166 (0.187)	Loss 3.6339 (3.7008)	Prec@1 18.359 (19.340)	Prec@5 44.141 (44.272)
Epoch: [34][6090/7045]	Time 0.521 (0.251)	Data 0.470 (0.187)	Loss 3.6069 (3.7007)	Prec@1 22.266 (19.342)	Prec@5 45.703 (44.274)
Epoch: [34][6100/7045]	Time 0.150 (0.251)	Data 0.100 (0.187)	Loss 3.8074 (3.7007)	Prec@1 22.266 (19.344)	Prec@5 40.625 (44.274)
Epoch: [34][6110/7045]	Time 0.244 (0.251)	Data 0.192 (0.187)	Loss 3.6052 (3.7006)	Prec@1 21.484 (19.346)	Prec@5 46.484 (44.276)
Epoch: [34][6120/7045]	Time 0.101 (0.251)	Data 0.013 (0.187)	Loss 3.8023 (3.7007)	Prec@1 18.750 (19.347)	Prec@5 43.750 (44.276)
Epoch: [34][6130/7045]	Time 0.252 (0.251)	Data 0.201 (0.187)	Loss 3.6073 (3.7006)	Prec@1 20.703 (19.348)	Prec@5 44.141 (44.275)
Epoch: [34][6140/7045]	Time 0.102 (0.251)	Data 0.015 (0.187)	Loss 3.4954 (3.7007)	Prec@1 19.141 (19.347)	Prec@5 51.953 (44.276)
Epoch: [34][6150/7045]	Time 0.268 (0.251)	Data 0.217 (0.187)	Loss 3.6753 (3.7007)	Prec@1 21.484 (19.347)	Prec@5 42.578 (44.275)
Epoch: [34][6160/7045]	Time 0.103 (0.251)	Data 0.008 (0.187)	Loss 3.4909 (3.7006)	Prec@1 24.609 (19.350)	Prec@5 51.953 (44.278)
Epoch: [34][6170/7045]	Time 0.263 (0.251)	Data 0.212 (0.187)	Loss 3.9131 (3.7005)	Prec@1 20.703 (19.351)	Prec@5 42.969 (44.281)
Epoch: [34][6180/7045]	Time 0.282 (0.251)	Data 0.232 (0.187)	Loss 3.7516 (3.7005)	Prec@1 17.188 (19.352)	Prec@5 40.625 (44.283)
Epoch: [34][6190/7045]	Time 0.100 (0.251)	Data 0.047 (0.187)	Loss 3.6713 (3.7004)	Prec@1 17.188 (19.351)	Prec@5 46.484 (44.286)
Epoch: [34][6200/7045]	Time 0.682 (0.251)	Data 0.630 (0.187)	Loss 3.6494 (3.7003)	Prec@1 18.359 (19.354)	Prec@5 42.188 (44.287)
Epoch: [34][6210/7045]	Time 0.132 (0.251)	Data 0.081 (0.187)	Loss 3.7394 (3.7001)	Prec@1 19.141 (19.355)	Prec@5 44.922 (44.290)
Epoch: [34][6220/7045]	Time 0.411 (0.251)	Data 0.360 (0.187)	Loss 3.5875 (3.7001)	Prec@1 22.656 (19.357)	Prec@5 43.359 (44.289)
Epoch: [34][6230/7045]	Time 0.280 (0.251)	Data 0.230 (0.187)	Loss 3.6901 (3.7000)	Prec@1 21.484 (19.358)	Prec@5 43.359 (44.292)
Epoch: [34][6240/7045]	Time 0.109 (0.251)	Data 0.058 (0.187)	Loss 3.8302 (3.7000)	Prec@1 16.016 (19.356)	Prec@5 42.969 (44.290)
Epoch: [34][6250/7045]	Time 0.103 (0.251)	Data 0.027 (0.187)	Loss 3.4378 (3.6999)	Prec@1 24.609 (19.358)	Prec@5 49.219 (44.294)
Epoch: [34][6260/7045]	Time 0.297 (0.251)	Data 0.247 (0.187)	Loss 3.6926 (3.6997)	Prec@1 20.312 (19.360)	Prec@5 46.094 (44.297)
Epoch: [34][6270/7045]	Time 0.107 (0.251)	Data 0.010 (0.187)	Loss 3.6303 (3.6997)	Prec@1 20.312 (19.363)	Prec@5 43.750 (44.299)
Epoch: [34][6280/7045]	Time 0.208 (0.251)	Data 0.157 (0.187)	Loss 3.7045 (3.6996)	Prec@1 19.141 (19.364)	Prec@5 41.016 (44.300)
Epoch: [34][6290/7045]	Time 0.101 (0.251)	Data 0.005 (0.187)	Loss 3.7044 (3.6995)	Prec@1 19.141 (19.366)	Prec@5 44.922 (44.303)
Epoch: [34][6300/7045]	Time 0.109 (0.251)	Data 0.056 (0.187)	Loss 3.7925 (3.6996)	Prec@1 16.016 (19.363)	Prec@5 39.844 (44.301)
Epoch: [34][6310/7045]	Time 0.102 (0.251)	Data 0.004 (0.187)	Loss 3.8563 (3.6996)	Prec@1 17.578 (19.364)	Prec@5 43.359 (44.303)
Epoch: [34][6320/7045]	Time 0.159 (0.251)	Data 0.102 (0.187)	Loss 3.8271 (3.6995)	Prec@1 15.234 (19.365)	Prec@5 41.406 (44.306)
Epoch: [34][6330/7045]	Time 0.365 (0.251)	Data 0.314 (0.187)	Loss 3.6631 (3.6994)	Prec@1 19.922 (19.369)	Prec@5 46.875 (44.310)
Epoch: [34][6340/7045]	Time 0.102 (0.251)	Data 0.050 (0.187)	Loss 3.7489 (3.6993)	Prec@1 21.094 (19.371)	Prec@5 44.922 (44.312)
Epoch: [34][6350/7045]	Time 0.627 (0.251)	Data 0.576 (0.187)	Loss 3.7097 (3.6992)	Prec@1 21.484 (19.372)	Prec@5 44.531 (44.314)
Epoch: [34][6360/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.3163 (3.6991)	Prec@1 21.875 (19.374)	Prec@5 54.297 (44.317)
Epoch: [34][6370/7045]	Time 0.467 (0.251)	Data 0.416 (0.187)	Loss 3.9363 (3.6991)	Prec@1 16.016 (19.373)	Prec@5 40.625 (44.317)
Epoch: [34][6380/7045]	Time 0.105 (0.251)	Data 0.016 (0.187)	Loss 3.5232 (3.6990)	Prec@1 22.266 (19.376)	Prec@5 48.438 (44.319)
Epoch: [34][6390/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.5505 (3.6987)	Prec@1 21.484 (19.381)	Prec@5 43.359 (44.326)
Epoch: [34][6400/7045]	Time 0.247 (0.251)	Data 0.196 (0.187)	Loss 3.6484 (3.6987)	Prec@1 18.750 (19.380)	Prec@5 44.922 (44.326)
Epoch: [34][6410/7045]	Time 0.173 (0.251)	Data 0.121 (0.187)	Loss 3.4211 (3.6985)	Prec@1 25.781 (19.380)	Prec@5 50.781 (44.330)
Epoch: [34][6420/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.4936 (3.6984)	Prec@1 22.656 (19.383)	Prec@5 47.266 (44.332)
Epoch: [34][6430/7045]	Time 0.640 (0.251)	Data 0.581 (0.187)	Loss 3.7269 (3.6984)	Prec@1 17.578 (19.383)	Prec@5 42.188 (44.334)
Epoch: [34][6440/7045]	Time 0.166 (0.251)	Data 0.115 (0.187)	Loss 3.5786 (3.6984)	Prec@1 20.703 (19.382)	Prec@5 46.875 (44.332)
Epoch: [34][6450/7045]	Time 0.313 (0.251)	Data 0.262 (0.187)	Loss 3.6027 (3.6983)	Prec@1 19.531 (19.381)	Prec@5 43.750 (44.334)
Epoch: [34][6460/7045]	Time 0.101 (0.251)	Data 0.044 (0.187)	Loss 3.5722 (3.6982)	Prec@1 22.266 (19.384)	Prec@5 49.609 (44.336)
Epoch: [34][6470/7045]	Time 0.146 (0.251)	Data 0.095 (0.187)	Loss 3.7321 (3.6982)	Prec@1 19.141 (19.386)	Prec@5 41.406 (44.337)
Epoch: [34][6480/7045]	Time 0.108 (0.251)	Data 0.010 (0.187)	Loss 3.6651 (3.6981)	Prec@1 20.703 (19.388)	Prec@5 45.703 (44.339)
Epoch: [34][6490/7045]	Time 0.104 (0.251)	Data 0.004 (0.187)	Loss 3.5477 (3.6979)	Prec@1 21.484 (19.391)	Prec@5 45.312 (44.342)
Epoch: [34][6500/7045]	Time 0.108 (0.251)	Data 0.001 (0.187)	Loss 3.5384 (3.6978)	Prec@1 20.703 (19.392)	Prec@5 49.219 (44.346)
Epoch: [34][6510/7045]	Time 0.104 (0.251)	Data 0.052 (0.187)	Loss 3.6050 (3.6978)	Prec@1 19.141 (19.392)	Prec@5 45.312 (44.347)
Epoch: [34][6520/7045]	Time 0.125 (0.251)	Data 0.074 (0.187)	Loss 3.4876 (3.6976)	Prec@1 21.094 (19.395)	Prec@5 53.516 (44.350)
Epoch: [34][6530/7045]	Time 0.115 (0.251)	Data 0.060 (0.187)	Loss 3.5070 (3.6975)	Prec@1 20.312 (19.396)	Prec@5 47.266 (44.353)
Epoch: [34][6540/7045]	Time 0.348 (0.251)	Data 0.298 (0.187)	Loss 3.7346 (3.6974)	Prec@1 20.703 (19.397)	Prec@5 42.188 (44.353)
Epoch: [34][6550/7045]	Time 0.129 (0.251)	Data 0.078 (0.187)	Loss 3.7442 (3.6973)	Prec@1 21.094 (19.400)	Prec@5 44.141 (44.356)
Epoch: [34][6560/7045]	Time 0.573 (0.251)	Data 0.522 (0.187)	Loss 3.6043 (3.6972)	Prec@1 17.969 (19.401)	Prec@5 46.484 (44.358)
Epoch: [34][6570/7045]	Time 0.515 (0.251)	Data 0.461 (0.187)	Loss 3.8246 (3.6973)	Prec@1 17.188 (19.398)	Prec@5 38.672 (44.357)
Epoch: [34][6580/7045]	Time 0.214 (0.251)	Data 0.163 (0.187)	Loss 3.3466 (3.6972)	Prec@1 26.562 (19.398)	Prec@5 49.219 (44.359)
Epoch: [34][6590/7045]	Time 0.310 (0.251)	Data 0.260 (0.187)	Loss 3.7369 (3.6972)	Prec@1 21.094 (19.400)	Prec@5 45.312 (44.360)
Epoch: [34][6600/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.7179 (3.6972)	Prec@1 17.578 (19.399)	Prec@5 41.797 (44.360)
Epoch: [34][6610/7045]	Time 0.102 (0.251)	Data 0.007 (0.187)	Loss 3.7420 (3.6972)	Prec@1 19.141 (19.399)	Prec@5 44.922 (44.359)
Epoch: [34][6620/7045]	Time 0.194 (0.251)	Data 0.143 (0.187)	Loss 3.5977 (3.6972)	Prec@1 22.656 (19.400)	Prec@5 44.922 (44.359)
Epoch: [34][6630/7045]	Time 0.112 (0.251)	Data 0.060 (0.187)	Loss 3.7426 (3.6971)	Prec@1 17.188 (19.399)	Prec@5 44.922 (44.362)
Epoch: [34][6640/7045]	Time 0.101 (0.251)	Data 0.046 (0.187)	Loss 3.6393 (3.6969)	Prec@1 22.656 (19.401)	Prec@5 49.219 (44.366)
Epoch: [34][6650/7045]	Time 0.101 (0.251)	Data 0.017 (0.187)	Loss 3.5788 (3.6968)	Prec@1 21.094 (19.402)	Prec@5 44.531 (44.369)
Epoch: [34][6660/7045]	Time 0.189 (0.251)	Data 0.138 (0.187)	Loss 3.7481 (3.6967)	Prec@1 21.484 (19.404)	Prec@5 44.531 (44.371)
Epoch: [34][6670/7045]	Time 0.101 (0.251)	Data 0.019 (0.187)	Loss 3.7540 (3.6966)	Prec@1 16.016 (19.406)	Prec@5 41.797 (44.373)
Epoch: [34][6680/7045]	Time 0.449 (0.251)	Data 0.385 (0.187)	Loss 3.4275 (3.6965)	Prec@1 18.750 (19.407)	Prec@5 48.438 (44.376)
Epoch: [34][6690/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.6845 (3.6964)	Prec@1 23.438 (19.409)	Prec@5 42.578 (44.377)
Epoch: [34][6700/7045]	Time 0.517 (0.251)	Data 0.466 (0.187)	Loss 3.8051 (3.6964)	Prec@1 15.625 (19.410)	Prec@5 39.062 (44.377)
Epoch: [34][6710/7045]	Time 0.109 (0.251)	Data 0.009 (0.187)	Loss 3.4821 (3.6962)	Prec@1 22.656 (19.412)	Prec@5 50.391 (44.381)
Epoch: [34][6720/7045]	Time 0.484 (0.251)	Data 0.433 (0.187)	Loss 3.5836 (3.6962)	Prec@1 21.094 (19.412)	Prec@5 50.781 (44.383)
Epoch: [34][6730/7045]	Time 0.101 (0.251)	Data 0.003 (0.187)	Loss 3.5865 (3.6961)	Prec@1 21.875 (19.412)	Prec@5 45.312 (44.383)
Epoch: [34][6740/7045]	Time 0.639 (0.251)	Data 0.589 (0.187)	Loss 3.6857 (3.6960)	Prec@1 21.094 (19.415)	Prec@5 44.531 (44.386)
Epoch: [34][6750/7045]	Time 0.180 (0.251)	Data 0.128 (0.187)	Loss 3.7038 (3.6960)	Prec@1 19.531 (19.416)	Prec@5 44.531 (44.387)
Epoch: [34][6760/7045]	Time 0.657 (0.251)	Data 0.598 (0.187)	Loss 3.4975 (3.6959)	Prec@1 26.562 (19.417)	Prec@5 52.734 (44.391)
Epoch: [34][6770/7045]	Time 0.230 (0.251)	Data 0.179 (0.187)	Loss 3.5596 (3.6957)	Prec@1 19.531 (19.420)	Prec@5 47.656 (44.395)
Epoch: [34][6780/7045]	Time 0.108 (0.251)	Data 0.056 (0.187)	Loss 3.5992 (3.6957)	Prec@1 26.172 (19.422)	Prec@5 47.656 (44.394)
Epoch: [34][6790/7045]	Time 0.355 (0.251)	Data 0.304 (0.187)	Loss 3.5404 (3.6956)	Prec@1 23.438 (19.423)	Prec@5 49.219 (44.395)
Epoch: [34][6800/7045]	Time 0.104 (0.251)	Data 0.001 (0.187)	Loss 3.4642 (3.6954)	Prec@1 24.219 (19.425)	Prec@5 45.312 (44.396)
Epoch: [34][6810/7045]	Time 0.111 (0.251)	Data 0.060 (0.187)	Loss 3.5238 (3.6954)	Prec@1 22.266 (19.427)	Prec@5 48.438 (44.396)
Epoch: [34][6820/7045]	Time 0.104 (0.251)	Data 0.052 (0.187)	Loss 3.7945 (3.6953)	Prec@1 17.578 (19.427)	Prec@5 41.797 (44.399)
Epoch: [34][6830/7045]	Time 0.342 (0.251)	Data 0.290 (0.187)	Loss 3.7935 (3.6952)	Prec@1 21.484 (19.429)	Prec@5 44.141 (44.401)
Epoch: [34][6840/7045]	Time 0.101 (0.251)	Data 0.012 (0.187)	Loss 3.6017 (3.6951)	Prec@1 17.969 (19.433)	Prec@5 51.172 (44.406)
Epoch: [34][6850/7045]	Time 0.568 (0.251)	Data 0.516 (0.187)	Loss 3.7980 (3.6951)	Prec@1 21.094 (19.433)	Prec@5 44.922 (44.406)
Epoch: [34][6860/7045]	Time 0.097 (0.251)	Data 0.001 (0.187)	Loss 3.6200 (3.6951)	Prec@1 17.188 (19.432)	Prec@5 44.922 (44.404)
Epoch: [34][6870/7045]	Time 0.713 (0.251)	Data 0.660 (0.187)	Loss 3.7225 (3.6951)	Prec@1 23.828 (19.433)	Prec@5 45.312 (44.405)
Epoch: [34][6880/7045]	Time 0.108 (0.251)	Data 0.001 (0.187)	Loss 3.7043 (3.6950)	Prec@1 18.359 (19.434)	Prec@5 45.312 (44.406)
Epoch: [34][6890/7045]	Time 0.422 (0.251)	Data 0.371 (0.187)	Loss 3.6171 (3.6950)	Prec@1 18.359 (19.435)	Prec@5 42.969 (44.407)
Epoch: [34][6900/7045]	Time 0.170 (0.251)	Data 0.119 (0.187)	Loss 3.5327 (3.6949)	Prec@1 20.703 (19.434)	Prec@5 48.047 (44.408)
Epoch: [34][6910/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.8307 (3.6949)	Prec@1 17.969 (19.436)	Prec@5 42.188 (44.409)
Epoch: [34][6920/7045]	Time 0.372 (0.251)	Data 0.312 (0.187)	Loss 3.7014 (3.6949)	Prec@1 19.922 (19.435)	Prec@5 45.312 (44.407)
Epoch: [34][6930/7045]	Time 0.110 (0.251)	Data 0.058 (0.187)	Loss 3.8759 (3.6948)	Prec@1 17.188 (19.435)	Prec@5 36.719 (44.407)
Epoch: [34][6940/7045]	Time 0.099 (0.251)	Data 0.046 (0.187)	Loss 3.7113 (3.6948)	Prec@1 14.062 (19.433)	Prec@5 41.797 (44.408)
Epoch: [34][6950/7045]	Time 0.147 (0.251)	Data 0.096 (0.187)	Loss 3.7190 (3.6947)	Prec@1 17.188 (19.435)	Prec@5 43.750 (44.410)
Epoch: [34][6960/7045]	Time 0.193 (0.251)	Data 0.142 (0.187)	Loss 3.6180 (3.6947)	Prec@1 18.750 (19.437)	Prec@5 45.703 (44.410)
Epoch: [34][6970/7045]	Time 0.281 (0.251)	Data 0.230 (0.187)	Loss 3.5909 (3.6947)	Prec@1 22.266 (19.438)	Prec@5 46.875 (44.410)
Epoch: [34][6980/7045]	Time 0.209 (0.251)	Data 0.155 (0.187)	Loss 3.7174 (3.6946)	Prec@1 18.359 (19.438)	Prec@5 41.406 (44.412)
Epoch: [34][6990/7045]	Time 0.102 (0.251)	Data 0.015 (0.187)	Loss 3.4356 (3.6945)	Prec@1 23.828 (19.441)	Prec@5 51.953 (44.416)
Epoch: [34][7000/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.7054 (3.6945)	Prec@1 20.703 (19.441)	Prec@5 44.531 (44.419)
Epoch: [34][7010/7045]	Time 0.269 (0.251)	Data 0.218 (0.187)	Loss 3.6777 (3.6943)	Prec@1 18.750 (19.443)	Prec@5 44.141 (44.422)
Epoch: [34][7020/7045]	Time 0.101 (0.251)	Data 0.007 (0.187)	Loss 3.6064 (3.6942)	Prec@1 19.141 (19.446)	Prec@5 44.531 (44.426)
Epoch: [34][7030/7045]	Time 0.614 (0.251)	Data 0.562 (0.187)	Loss 3.6883 (3.6941)	Prec@1 20.312 (19.448)	Prec@5 45.312 (44.427)
Epoch: [34][7040/7045]	Time 0.102 (0.251)	Data 0.000 (0.187)	Loss 3.7103 (3.6940)	Prec@1 19.531 (19.448)	Prec@5 46.875 (44.430)
Test: [0/143]	Time 1.203 (1.203)	Loss 3.1161 (3.1161)	Prec@1 26.562 (26.562)	Prec@5 57.031 (57.031)
Test: [10/143]	Time 0.049 (0.261)	Loss 3.1239 (3.1055)	Prec@1 26.172 (27.663)	Prec@5 60.938 (58.878)
Test: [20/143]	Time 0.230 (0.232)	Loss 3.2562 (3.0883)	Prec@1 25.781 (26.897)	Prec@5 54.688 (58.780)
Test: [30/143]	Time 0.048 (0.210)	Loss 3.5671 (3.0834)	Prec@1 17.578 (28.037)	Prec@5 48.828 (58.468)
Test: [40/143]	Time 0.374 (0.209)	Loss 3.6162 (3.1163)	Prec@1 11.719 (27.687)	Prec@5 41.016 (57.031)
Test: [50/143]	Time 0.048 (0.197)	Loss 2.7990 (3.1587)	Prec@1 28.516 (26.271)	Prec@5 66.797 (55.982)
Test: [60/143]	Time 0.352 (0.196)	Loss 3.4512 (3.1307)	Prec@1 18.359 (26.985)	Prec@5 50.781 (56.634)
Test: [70/143]	Time 0.048 (0.192)	Loss 3.8000 (3.1233)	Prec@1 14.062 (27.195)	Prec@5 36.328 (56.822)
Test: [80/143]	Time 0.106 (0.190)	Loss 3.0458 (3.1175)	Prec@1 24.609 (27.329)	Prec@5 61.328 (57.031)
Test: [90/143]	Time 0.113 (0.188)	Loss 2.8129 (3.1015)	Prec@1 33.984 (27.588)	Prec@5 62.891 (57.452)
Test: [100/143]	Time 0.234 (0.187)	Loss 2.7067 (3.0987)	Prec@1 38.281 (27.642)	Prec@5 72.266 (57.646)
Test: [110/143]	Time 0.129 (0.186)	Loss 2.7938 (3.0814)	Prec@1 36.719 (28.220)	Prec@5 63.672 (57.971)
Test: [120/143]	Time 0.219 (0.185)	Loss 2.6206 (3.0705)	Prec@1 40.625 (28.593)	Prec@5 71.094 (58.210)
Test: [130/143]	Time 0.272 (0.185)	Loss 2.6674 (3.0722)	Prec@1 40.625 (28.623)	Prec@5 62.500 (58.197)
Test: [140/143]	Time 0.050 (0.183)	Loss 3.9492 (3.0937)	Prec@1 15.234 (28.225)	Prec@5 35.547 (57.707)
 * Prec@1 28.337 Prec@5 57.822
Epoch: [35][0/7045]	Time 2.497 (2.497)	Data 2.431 (2.431)	Loss 3.2781 (3.2781)	Prec@1 24.609 (24.609)	Prec@5 51.953 (51.953)
Epoch: [35][10/7045]	Time 0.101 (0.438)	Data 0.001 (0.359)	Loss 3.6017 (3.6118)	Prec@1 21.484 (20.135)	Prec@5 46.875 (46.875)
Epoch: [35][20/7045]	Time 0.404 (0.355)	Data 0.354 (0.288)	Loss 3.6737 (3.6334)	Prec@1 18.750 (20.164)	Prec@5 39.844 (45.964)
Epoch: [35][30/7045]	Time 0.640 (0.328)	Data 0.589 (0.266)	Loss 3.4788 (3.6120)	Prec@1 24.609 (20.842)	Prec@5 51.172 (46.081)
Epoch: [35][40/7045]	Time 0.100 (0.300)	Data 0.046 (0.238)	Loss 3.8594 (3.6240)	Prec@1 19.141 (20.722)	Prec@5 43.359 (45.789)
Epoch: [35][50/7045]	Time 0.590 (0.293)	Data 0.540 (0.234)	Loss 3.3127 (3.6170)	Prec@1 23.438 (20.749)	Prec@5 52.344 (45.818)
Epoch: [35][60/7045]	Time 0.110 (0.281)	Data 0.021 (0.222)	Loss 3.7131 (3.6160)	Prec@1 18.750 (20.818)	Prec@5 45.312 (45.934)
Epoch: [35][70/7045]	Time 0.557 (0.279)	Data 0.506 (0.219)	Loss 3.6842 (3.6196)	Prec@1 18.750 (20.571)	Prec@5 40.625 (45.769)
Epoch: [35][80/7045]	Time 0.338 (0.275)	Data 0.287 (0.216)	Loss 3.8291 (3.6285)	Prec@1 16.016 (20.332)	Prec@5 42.188 (45.515)
Epoch: [35][90/7045]	Time 0.684 (0.275)	Data 0.632 (0.215)	Loss 3.6777 (3.6281)	Prec@1 18.359 (20.355)	Prec@5 41.797 (45.561)
Epoch: [35][100/7045]	Time 0.191 (0.270)	Data 0.132 (0.210)	Loss 3.7396 (3.6297)	Prec@1 16.797 (20.390)	Prec@5 41.406 (45.479)
Epoch: [35][110/7045]	Time 0.179 (0.268)	Data 0.128 (0.209)	Loss 3.4097 (3.6202)	Prec@1 25.781 (20.471)	Prec@5 52.734 (45.770)
Epoch: [35][120/7045]	Time 0.146 (0.265)	Data 0.095 (0.206)	Loss 3.6419 (3.6179)	Prec@1 20.703 (20.493)	Prec@5 47.656 (45.835)
Epoch: [35][130/7045]	Time 0.432 (0.267)	Data 0.382 (0.208)	Loss 3.7337 (3.6203)	Prec@1 14.453 (20.479)	Prec@5 42.188 (45.769)
Epoch: [35][140/7045]	Time 0.100 (0.264)	Data 0.014 (0.204)	Loss 3.7498 (3.6224)	Prec@1 15.625 (20.421)	Prec@5 41.016 (45.703)
Epoch: [35][150/7045]	Time 0.362 (0.263)	Data 0.311 (0.203)	Loss 3.3503 (3.6179)	Prec@1 23.828 (20.499)	Prec@5 55.469 (45.845)
Epoch: [35][160/7045]	Time 0.130 (0.262)	Data 0.071 (0.202)	Loss 3.5282 (3.6145)	Prec@1 22.266 (20.555)	Prec@5 47.266 (45.856)
Epoch: [35][170/7045]	Time 0.429 (0.262)	Data 0.378 (0.202)	Loss 3.6077 (3.6109)	Prec@1 21.094 (20.573)	Prec@5 48.047 (45.954)
Epoch: [35][180/7045]	Time 0.377 (0.262)	Data 0.324 (0.202)	Loss 3.5803 (3.6100)	Prec@1 21.484 (20.563)	Prec@5 46.094 (45.999)
Epoch: [35][190/7045]	Time 0.324 (0.261)	Data 0.267 (0.200)	Loss 3.4062 (3.6111)	Prec@1 25.000 (20.515)	Prec@5 51.953 (45.967)
Epoch: [35][200/7045]	Time 0.454 (0.261)	Data 0.402 (0.200)	Loss 3.7846 (3.6142)	Prec@1 19.531 (20.464)	Prec@5 41.797 (45.915)
Epoch: [35][210/7045]	Time 0.114 (0.260)	Data 0.001 (0.199)	Loss 3.7140 (3.6159)	Prec@1 19.531 (20.462)	Prec@5 44.141 (45.910)
Epoch: [35][220/7045]	Time 0.663 (0.261)	Data 0.612 (0.200)	Loss 3.4168 (3.6146)	Prec@1 25.000 (20.493)	Prec@5 47.266 (45.928)
Epoch: [35][230/7045]	Time 0.100 (0.259)	Data 0.001 (0.197)	Loss 3.6636 (3.6139)	Prec@1 18.750 (20.490)	Prec@5 46.875 (45.950)
Epoch: [35][240/7045]	Time 0.632 (0.259)	Data 0.580 (0.196)	Loss 3.6650 (3.6177)	Prec@1 17.188 (20.473)	Prec@5 42.969 (45.849)
Epoch: [35][250/7045]	Time 0.100 (0.258)	Data 0.001 (0.195)	Loss 3.5179 (3.6194)	Prec@1 21.094 (20.456)	Prec@5 50.000 (45.820)
Epoch: [35][260/7045]	Time 0.592 (0.258)	Data 0.533 (0.194)	Loss 3.6361 (3.6210)	Prec@1 20.312 (20.483)	Prec@5 46.484 (45.862)
Epoch: [35][270/7045]	Time 0.131 (0.257)	Data 0.079 (0.193)	Loss 3.4888 (3.6214)	Prec@1 20.312 (20.452)	Prec@5 48.438 (45.829)
Epoch: [35][280/7045]	Time 0.436 (0.257)	Data 0.384 (0.193)	Loss 3.6285 (3.6227)	Prec@1 22.656 (20.443)	Prec@5 48.828 (45.856)
Epoch: [35][290/7045]	Time 0.148 (0.257)	Data 0.096 (0.193)	Loss 3.5221 (3.6220)	Prec@1 19.922 (20.447)	Prec@5 46.484 (45.855)
Epoch: [35][300/7045]	Time 0.102 (0.257)	Data 0.024 (0.193)	Loss 3.6142 (3.6227)	Prec@1 24.219 (20.427)	Prec@5 46.094 (45.838)
Epoch: [35][310/7045]	Time 0.446 (0.257)	Data 0.396 (0.193)	Loss 3.4769 (3.6215)	Prec@1 20.312 (20.417)	Prec@5 46.484 (45.858)
Epoch: [35][320/7045]	Time 0.248 (0.256)	Data 0.191 (0.193)	Loss 3.6183 (3.6218)	Prec@1 18.750 (20.422)	Prec@5 44.531 (45.856)
Epoch: [35][330/7045]	Time 0.258 (0.256)	Data 0.200 (0.193)	Loss 3.4969 (3.6220)	Prec@1 25.781 (20.394)	Prec@5 47.656 (45.848)
Epoch: [35][340/7045]	Time 0.234 (0.256)	Data 0.184 (0.193)	Loss 3.5458 (3.6217)	Prec@1 23.438 (20.417)	Prec@5 44.531 (45.841)
Epoch: [35][350/7045]	Time 0.111 (0.256)	Data 0.059 (0.193)	Loss 3.8053 (3.6232)	Prec@1 15.625 (20.381)	Prec@5 42.969 (45.830)
Epoch: [35][360/7045]	Time 0.101 (0.255)	Data 0.010 (0.192)	Loss 3.7212 (3.6230)	Prec@1 20.703 (20.379)	Prec@5 43.359 (45.831)
Epoch: [35][370/7045]	Time 0.106 (0.256)	Data 0.054 (0.192)	Loss 3.6670 (3.6231)	Prec@1 18.359 (20.376)	Prec@5 46.094 (45.831)
Epoch: [35][380/7045]	Time 0.149 (0.255)	Data 0.096 (0.192)	Loss 3.6543 (3.6225)	Prec@1 16.406 (20.363)	Prec@5 42.188 (45.823)
Epoch: [35][390/7045]	Time 0.100 (0.255)	Data 0.001 (0.192)	Loss 3.6045 (3.6227)	Prec@1 21.094 (20.337)	Prec@5 46.094 (45.822)
Epoch: [35][400/7045]	Time 0.323 (0.256)	Data 0.273 (0.192)	Loss 3.6145 (3.6230)	Prec@1 21.484 (20.340)	Prec@5 46.484 (45.826)
Epoch: [35][410/7045]	Time 0.100 (0.255)	Data 0.046 (0.192)	Loss 3.7323 (3.6230)	Prec@1 19.531 (20.330)	Prec@5 42.578 (45.822)
Epoch: [35][420/7045]	Time 0.254 (0.255)	Data 0.202 (0.192)	Loss 3.6938 (3.6231)	Prec@1 17.578 (20.309)	Prec@5 44.141 (45.821)
Epoch: [35][430/7045]	Time 0.261 (0.255)	Data 0.210 (0.192)	Loss 3.7995 (3.6239)	Prec@1 19.141 (20.320)	Prec@5 42.188 (45.804)
Epoch: [35][440/7045]	Time 0.101 (0.255)	Data 0.001 (0.192)	Loss 3.6022 (3.6225)	Prec@1 19.141 (20.337)	Prec@5 42.578 (45.798)
Epoch: [35][450/7045]	Time 0.348 (0.255)	Data 0.297 (0.192)	Loss 3.6187 (3.6209)	Prec@1 20.703 (20.383)	Prec@5 48.438 (45.847)
Epoch: [35][460/7045]	Time 0.491 (0.255)	Data 0.438 (0.193)	Loss 3.7702 (3.6215)	Prec@1 17.969 (20.409)	Prec@5 41.016 (45.829)
Epoch: [35][470/7045]	Time 0.359 (0.255)	Data 0.308 (0.192)	Loss 3.6022 (3.6214)	Prec@1 19.531 (20.396)	Prec@5 48.047 (45.838)
Epoch: [35][480/7045]	Time 0.309 (0.254)	Data 0.260 (0.192)	Loss 3.6984 (3.6202)	Prec@1 19.922 (20.411)	Prec@5 42.578 (45.851)
Epoch: [35][490/7045]	Time 0.560 (0.254)	Data 0.510 (0.192)	Loss 3.5536 (3.6200)	Prec@1 24.609 (20.418)	Prec@5 48.047 (45.875)
Epoch: [35][500/7045]	Time 0.241 (0.254)	Data 0.190 (0.191)	Loss 3.7888 (3.6215)	Prec@1 17.578 (20.378)	Prec@5 41.016 (45.850)
Epoch: [35][510/7045]	Time 0.305 (0.254)	Data 0.254 (0.191)	Loss 3.7739 (3.6211)	Prec@1 19.922 (20.390)	Prec@5 44.531 (45.860)
Epoch: [35][520/7045]	Time 0.119 (0.254)	Data 0.068 (0.191)	Loss 3.5498 (3.6204)	Prec@1 28.125 (20.412)	Prec@5 47.656 (45.890)
Epoch: [35][530/7045]	Time 0.140 (0.253)	Data 0.088 (0.190)	Loss 3.7673 (3.6210)	Prec@1 15.234 (20.388)	Prec@5 39.844 (45.880)
Epoch: [35][540/7045]	Time 0.107 (0.253)	Data 0.007 (0.191)	Loss 3.3768 (3.6206)	Prec@1 24.609 (20.401)	Prec@5 50.781 (45.907)
Epoch: [35][550/7045]	Time 0.102 (0.253)	Data 0.001 (0.190)	Loss 3.4871 (3.6208)	Prec@1 22.266 (20.407)	Prec@5 47.656 (45.900)
Epoch: [35][560/7045]	Time 0.136 (0.253)	Data 0.085 (0.190)	Loss 3.7914 (3.6203)	Prec@1 17.188 (20.437)	Prec@5 42.188 (45.929)
Epoch: [35][570/7045]	Time 0.322 (0.253)	Data 0.272 (0.190)	Loss 3.5632 (3.6198)	Prec@1 20.703 (20.448)	Prec@5 50.000 (45.962)
Epoch: [35][580/7045]	Time 0.114 (0.253)	Data 0.063 (0.190)	Loss 3.7884 (3.6205)	Prec@1 17.188 (20.439)	Prec@5 38.672 (45.938)
Epoch: [35][590/7045]	Time 0.455 (0.253)	Data 0.404 (0.190)	Loss 3.7139 (3.6207)	Prec@1 16.406 (20.439)	Prec@5 44.531 (45.925)
Epoch: [35][600/7045]	Time 0.102 (0.253)	Data 0.001 (0.190)	Loss 3.5489 (3.6214)	Prec@1 21.484 (20.442)	Prec@5 46.875 (45.933)
Epoch: [35][610/7045]	Time 0.575 (0.253)	Data 0.523 (0.190)	Loss 3.6269 (3.6218)	Prec@1 21.484 (20.450)	Prec@5 48.047 (45.915)
Epoch: [35][620/7045]	Time 0.162 (0.252)	Data 0.112 (0.189)	Loss 3.6070 (3.6220)	Prec@1 18.359 (20.421)	Prec@5 46.875 (45.914)
Epoch: [35][630/7045]	Time 0.264 (0.253)	Data 0.205 (0.190)	Loss 3.7049 (3.6231)	Prec@1 19.141 (20.416)	Prec@5 42.578 (45.881)
Epoch: [35][640/7045]	Time 0.137 (0.252)	Data 0.086 (0.189)	Loss 3.6757 (3.6232)	Prec@1 18.750 (20.415)	Prec@5 44.531 (45.885)
Epoch: [35][650/7045]	Time 0.101 (0.253)	Data 0.005 (0.189)	Loss 3.7486 (3.6232)	Prec@1 19.531 (20.421)	Prec@5 44.922 (45.881)
Epoch: [35][660/7045]	Time 0.101 (0.252)	Data 0.001 (0.189)	Loss 3.5044 (3.6232)	Prec@1 22.266 (20.418)	Prec@5 49.609 (45.892)
Epoch: [35][670/7045]	Time 0.102 (0.252)	Data 0.013 (0.189)	Loss 3.6154 (3.6230)	Prec@1 19.531 (20.430)	Prec@5 47.266 (45.897)
Epoch: [35][680/7045]	Time 0.541 (0.253)	Data 0.489 (0.190)	Loss 3.4031 (3.6223)	Prec@1 22.656 (20.436)	Prec@5 47.656 (45.905)
Epoch: [35][690/7045]	Time 0.107 (0.252)	Data 0.001 (0.189)	Loss 3.5147 (3.6207)	Prec@1 20.703 (20.456)	Prec@5 47.656 (45.932)
Epoch: [35][700/7045]	Time 0.543 (0.252)	Data 0.492 (0.189)	Loss 3.6094 (3.6210)	Prec@1 20.703 (20.453)	Prec@5 47.266 (45.939)
Epoch: [35][710/7045]	Time 0.228 (0.252)	Data 0.178 (0.189)	Loss 3.5519 (3.6202)	Prec@1 21.094 (20.475)	Prec@5 47.266 (45.958)
Epoch: [35][720/7045]	Time 0.358 (0.252)	Data 0.307 (0.189)	Loss 3.6804 (3.6205)	Prec@1 19.922 (20.468)	Prec@5 42.578 (45.958)
Epoch: [35][730/7045]	Time 0.219 (0.252)	Data 0.168 (0.189)	Loss 3.7043 (3.6219)	Prec@1 19.922 (20.457)	Prec@5 43.359 (45.932)
Epoch: [35][740/7045]	Time 0.317 (0.252)	Data 0.266 (0.189)	Loss 3.4630 (3.6211)	Prec@1 23.828 (20.470)	Prec@5 50.391 (45.947)
Epoch: [35][750/7045]	Time 0.238 (0.252)	Data 0.186 (0.189)	Loss 3.7932 (3.6213)	Prec@1 15.625 (20.446)	Prec@5 40.234 (45.954)
Epoch: [35][760/7045]	Time 0.265 (0.252)	Data 0.215 (0.189)	Loss 3.8435 (3.6212)	Prec@1 17.578 (20.447)	Prec@5 41.016 (45.953)
Epoch: [35][770/7045]	Time 0.213 (0.252)	Data 0.161 (0.189)	Loss 3.6286 (3.6207)	Prec@1 19.531 (20.462)	Prec@5 44.922 (45.952)
Epoch: [35][780/7045]	Time 0.421 (0.252)	Data 0.368 (0.189)	Loss 3.6202 (3.6207)	Prec@1 20.312 (20.457)	Prec@5 41.406 (45.953)
Epoch: [35][790/7045]	Time 0.103 (0.251)	Data 0.051 (0.189)	Loss 3.6915 (3.6218)	Prec@1 21.484 (20.441)	Prec@5 43.750 (45.940)
Epoch: [35][800/7045]	Time 0.100 (0.251)	Data 0.049 (0.189)	Loss 3.7827 (3.6215)	Prec@1 20.703 (20.435)	Prec@5 43.359 (45.948)
Epoch: [35][810/7045]	Time 0.576 (0.252)	Data 0.523 (0.189)	Loss 3.5828 (3.6216)	Prec@1 21.484 (20.440)	Prec@5 47.266 (45.948)
Epoch: [35][820/7045]	Time 0.109 (0.252)	Data 0.001 (0.189)	Loss 3.8160 (3.6215)	Prec@1 17.188 (20.436)	Prec@5 44.531 (45.949)
Epoch: [35][830/7045]	Time 0.407 (0.252)	Data 0.356 (0.189)	Loss 3.7341 (3.6220)	Prec@1 17.969 (20.426)	Prec@5 44.531 (45.936)
Epoch: [35][840/7045]	Time 0.170 (0.252)	Data 0.119 (0.189)	Loss 3.6756 (3.6226)	Prec@1 18.750 (20.422)	Prec@5 46.094 (45.928)
Epoch: [35][850/7045]	Time 0.110 (0.251)	Data 0.054 (0.189)	Loss 3.6852 (3.6233)	Prec@1 20.703 (20.409)	Prec@5 44.922 (45.928)
Epoch: [35][860/7045]	Time 0.340 (0.252)	Data 0.289 (0.189)	Loss 3.8651 (3.6235)	Prec@1 19.141 (20.409)	Prec@5 42.188 (45.932)
Epoch: [35][870/7045]	Time 0.198 (0.251)	Data 0.147 (0.189)	Loss 3.7415 (3.6238)	Prec@1 21.484 (20.411)	Prec@5 43.359 (45.929)
Epoch: [35][880/7045]	Time 0.282 (0.251)	Data 0.232 (0.189)	Loss 3.7328 (3.6237)	Prec@1 20.703 (20.406)	Prec@5 44.922 (45.924)
Epoch: [35][890/7045]	Time 0.147 (0.251)	Data 0.095 (0.189)	Loss 3.7049 (3.6244)	Prec@1 23.047 (20.410)	Prec@5 44.922 (45.910)
Epoch: [35][900/7045]	Time 0.101 (0.251)	Data 0.047 (0.189)	Loss 3.6032 (3.6238)	Prec@1 20.312 (20.401)	Prec@5 48.828 (45.929)
Epoch: [35][910/7045]	Time 0.673 (0.252)	Data 0.613 (0.190)	Loss 3.6219 (3.6233)	Prec@1 21.484 (20.411)	Prec@5 45.312 (45.950)
Epoch: [35][920/7045]	Time 0.101 (0.251)	Data 0.047 (0.189)	Loss 3.6845 (3.6230)	Prec@1 19.141 (20.421)	Prec@5 43.359 (45.961)
Epoch: [35][930/7045]	Time 0.350 (0.251)	Data 0.299 (0.189)	Loss 3.6656 (3.6221)	Prec@1 16.797 (20.432)	Prec@5 46.484 (45.978)
Epoch: [35][940/7045]	Time 0.102 (0.251)	Data 0.013 (0.189)	Loss 3.6575 (3.6216)	Prec@1 17.188 (20.436)	Prec@5 47.266 (45.995)
Epoch: [35][950/7045]	Time 0.101 (0.251)	Data 0.008 (0.189)	Loss 3.6772 (3.6212)	Prec@1 21.875 (20.445)	Prec@5 45.312 (46.008)
Epoch: [35][960/7045]	Time 0.586 (0.252)	Data 0.535 (0.190)	Loss 3.6660 (3.6207)	Prec@1 20.312 (20.449)	Prec@5 48.047 (46.028)
Epoch: [35][970/7045]	Time 0.109 (0.251)	Data 0.001 (0.189)	Loss 3.6387 (3.6211)	Prec@1 19.141 (20.453)	Prec@5 46.484 (46.025)
Epoch: [35][980/7045]	Time 0.355 (0.251)	Data 0.303 (0.189)	Loss 3.8397 (3.6219)	Prec@1 14.062 (20.436)	Prec@5 38.672 (46.020)
Epoch: [35][990/7045]	Time 0.243 (0.251)	Data 0.185 (0.189)	Loss 3.5472 (3.6214)	Prec@1 21.484 (20.448)	Prec@5 43.750 (46.047)
Epoch: [35][1000/7045]	Time 0.106 (0.251)	Data 0.054 (0.189)	Loss 3.5356 (3.6214)	Prec@1 19.922 (20.447)	Prec@5 47.656 (46.037)
Epoch: [35][1010/7045]	Time 0.589 (0.252)	Data 0.536 (0.189)	Loss 3.8258 (3.6216)	Prec@1 18.359 (20.448)	Prec@5 42.969 (46.030)
Epoch: [35][1020/7045]	Time 0.175 (0.251)	Data 0.124 (0.189)	Loss 3.6174 (3.6218)	Prec@1 20.703 (20.445)	Prec@5 45.312 (46.034)
Epoch: [35][1030/7045]	Time 0.374 (0.251)	Data 0.324 (0.189)	Loss 3.7097 (3.6221)	Prec@1 19.141 (20.447)	Prec@5 41.797 (46.025)
Epoch: [35][1040/7045]	Time 0.102 (0.251)	Data 0.001 (0.189)	Loss 3.5219 (3.6221)	Prec@1 21.484 (20.443)	Prec@5 49.219 (46.026)
Epoch: [35][1050/7045]	Time 0.267 (0.251)	Data 0.208 (0.189)	Loss 3.5696 (3.6219)	Prec@1 23.047 (20.450)	Prec@5 49.609 (46.039)
Epoch: [35][1060/7045]	Time 0.185 (0.251)	Data 0.135 (0.189)	Loss 3.5759 (3.6220)	Prec@1 21.875 (20.444)	Prec@5 47.656 (46.037)
Epoch: [35][1070/7045]	Time 0.124 (0.251)	Data 0.072 (0.189)	Loss 3.5336 (3.6223)	Prec@1 23.828 (20.450)	Prec@5 47.266 (46.032)
Epoch: [35][1080/7045]	Time 0.101 (0.251)	Data 0.044 (0.189)	Loss 3.7929 (3.6226)	Prec@1 19.141 (20.439)	Prec@5 44.531 (46.029)
Epoch: [35][1090/7045]	Time 0.741 (0.252)	Data 0.689 (0.189)	Loss 3.5732 (3.6226)	Prec@1 22.266 (20.436)	Prec@5 43.359 (46.027)
Epoch: [35][1100/7045]	Time 0.125 (0.251)	Data 0.075 (0.189)	Loss 3.7454 (3.6223)	Prec@1 21.484 (20.445)	Prec@5 43.750 (46.030)
Epoch: [35][1110/7045]	Time 0.178 (0.251)	Data 0.128 (0.189)	Loss 3.5584 (3.6216)	Prec@1 21.875 (20.450)	Prec@5 45.312 (46.044)
Epoch: [35][1120/7045]	Time 0.426 (0.251)	Data 0.375 (0.189)	Loss 3.8358 (3.6215)	Prec@1 17.578 (20.457)	Prec@5 40.234 (46.047)
Epoch: [35][1130/7045]	Time 0.204 (0.251)	Data 0.154 (0.189)	Loss 3.4605 (3.6215)	Prec@1 19.141 (20.444)	Prec@5 49.219 (46.045)
Epoch: [35][1140/7045]	Time 0.277 (0.251)	Data 0.224 (0.189)	Loss 3.6217 (3.6213)	Prec@1 16.797 (20.437)	Prec@5 44.531 (46.051)
Epoch: [35][1150/7045]	Time 0.215 (0.251)	Data 0.163 (0.189)	Loss 3.5372 (3.6213)	Prec@1 21.094 (20.441)	Prec@5 49.219 (46.047)
Epoch: [35][1160/7045]	Time 0.102 (0.251)	Data 0.001 (0.189)	Loss 3.5083 (3.6211)	Prec@1 17.969 (20.435)	Prec@5 47.266 (46.039)
Epoch: [35][1170/7045]	Time 0.281 (0.252)	Data 0.229 (0.189)	Loss 3.5410 (3.6208)	Prec@1 21.094 (20.437)	Prec@5 48.828 (46.051)
Epoch: [35][1180/7045]	Time 0.775 (0.252)	Data 0.723 (0.190)	Loss 3.3926 (3.6209)	Prec@1 22.656 (20.432)	Prec@5 48.828 (46.046)
Epoch: [35][1190/7045]	Time 0.166 (0.251)	Data 0.116 (0.189)	Loss 3.6381 (3.6210)	Prec@1 17.578 (20.432)	Prec@5 46.484 (46.050)
Epoch: [35][1200/7045]	Time 0.109 (0.251)	Data 0.007 (0.189)	Loss 3.7415 (3.6209)	Prec@1 19.922 (20.420)	Prec@5 45.312 (46.045)
Epoch: [35][1210/7045]	Time 0.711 (0.252)	Data 0.659 (0.190)	Loss 3.7327 (3.6210)	Prec@1 21.094 (20.423)	Prec@5 42.578 (46.045)
Epoch: [35][1220/7045]	Time 0.300 (0.252)	Data 0.249 (0.189)	Loss 3.4410 (3.6212)	Prec@1 24.219 (20.422)	Prec@5 50.000 (46.043)
Epoch: [35][1230/7045]	Time 0.107 (0.252)	Data 0.055 (0.189)	Loss 3.6464 (3.6212)	Prec@1 22.266 (20.422)	Prec@5 46.875 (46.045)
Epoch: [35][1240/7045]	Time 0.528 (0.252)	Data 0.477 (0.189)	Loss 3.6255 (3.6213)	Prec@1 21.875 (20.417)	Prec@5 46.094 (46.042)
Epoch: [35][1250/7045]	Time 0.284 (0.252)	Data 0.234 (0.189)	Loss 3.5349 (3.6208)	Prec@1 25.781 (20.432)	Prec@5 48.828 (46.057)
Epoch: [35][1260/7045]	Time 0.102 (0.252)	Data 0.002 (0.189)	Loss 3.7081 (3.6210)	Prec@1 19.141 (20.436)	Prec@5 45.312 (46.049)
Epoch: [35][1270/7045]	Time 0.174 (0.252)	Data 0.122 (0.189)	Loss 3.5676 (3.6207)	Prec@1 25.000 (20.452)	Prec@5 48.047 (46.049)
Epoch: [35][1280/7045]	Time 0.102 (0.252)	Data 0.008 (0.189)	Loss 3.5147 (3.6203)	Prec@1 22.656 (20.458)	Prec@5 45.703 (46.061)
Epoch: [35][1290/7045]	Time 0.101 (0.252)	Data 0.003 (0.189)	Loss 3.6678 (3.6203)	Prec@1 18.359 (20.457)	Prec@5 44.531 (46.065)
Epoch: [35][1300/7045]	Time 0.371 (0.252)	Data 0.314 (0.189)	Loss 3.4958 (3.6203)	Prec@1 23.828 (20.470)	Prec@5 50.000 (46.071)
Epoch: [35][1310/7045]	Time 0.114 (0.252)	Data 0.063 (0.189)	Loss 3.7253 (3.6203)	Prec@1 19.141 (20.475)	Prec@5 40.234 (46.064)
Epoch: [35][1320/7045]	Time 0.105 (0.252)	Data 0.052 (0.189)	Loss 3.8149 (3.6206)	Prec@1 19.531 (20.472)	Prec@5 37.891 (46.054)
Epoch: [35][1330/7045]	Time 0.108 (0.252)	Data 0.001 (0.189)	Loss 3.6767 (3.6204)	Prec@1 19.141 (20.482)	Prec@5 42.969 (46.052)
Epoch: [35][1340/7045]	Time 0.102 (0.252)	Data 0.001 (0.189)	Loss 3.4584 (3.6201)	Prec@1 20.312 (20.486)	Prec@5 51.172 (46.065)
Epoch: [35][1350/7045]	Time 0.103 (0.252)	Data 0.052 (0.189)	Loss 3.4609 (3.6194)	Prec@1 21.094 (20.496)	Prec@5 47.266 (46.083)
Epoch: [35][1360/7045]	Time 0.408 (0.252)	Data 0.357 (0.189)	Loss 3.4751 (3.6193)	Prec@1 23.828 (20.497)	Prec@5 47.656 (46.087)
Epoch: [35][1370/7045]	Time 0.498 (0.252)	Data 0.446 (0.189)	Loss 3.4798 (3.6193)	Prec@1 21.875 (20.495)	Prec@5 49.219 (46.080)
Epoch: [35][1380/7045]	Time 0.133 (0.252)	Data 0.082 (0.189)	Loss 3.6995 (3.6196)	Prec@1 18.750 (20.492)	Prec@5 41.406 (46.070)
Epoch: [35][1390/7045]	Time 0.101 (0.252)	Data 0.001 (0.189)	Loss 3.6870 (3.6196)	Prec@1 21.094 (20.491)	Prec@5 44.141 (46.072)
Epoch: [35][1400/7045]	Time 0.102 (0.252)	Data 0.001 (0.189)	Loss 3.6242 (3.6193)	Prec@1 18.750 (20.500)	Prec@5 45.312 (46.069)
Epoch: [35][1410/7045]	Time 0.106 (0.252)	Data 0.054 (0.189)	Loss 3.5660 (3.6192)	Prec@1 18.750 (20.499)	Prec@5 48.828 (46.075)
Epoch: [35][1420/7045]	Time 0.319 (0.252)	Data 0.267 (0.189)	Loss 3.6170 (3.6194)	Prec@1 19.922 (20.493)	Prec@5 44.141 (46.073)
Epoch: [35][1430/7045]	Time 0.103 (0.252)	Data 0.050 (0.189)	Loss 3.5825 (3.6192)	Prec@1 21.484 (20.498)	Prec@5 49.219 (46.081)
Epoch: [35][1440/7045]	Time 0.364 (0.252)	Data 0.304 (0.189)	Loss 3.7563 (3.6191)	Prec@1 18.359 (20.498)	Prec@5 43.359 (46.077)
Epoch: [35][1450/7045]	Time 0.503 (0.252)	Data 0.452 (0.189)	Loss 3.6024 (3.6191)	Prec@1 19.922 (20.496)	Prec@5 44.922 (46.086)
Epoch: [35][1460/7045]	Time 0.113 (0.252)	Data 0.061 (0.189)	Loss 3.5752 (3.6191)	Prec@1 19.922 (20.498)	Prec@5 46.484 (46.081)
Epoch: [35][1470/7045]	Time 0.170 (0.252)	Data 0.119 (0.189)	Loss 3.6279 (3.6189)	Prec@1 25.000 (20.507)	Prec@5 45.312 (46.082)
Epoch: [35][1480/7045]	Time 0.218 (0.252)	Data 0.166 (0.189)	Loss 3.6519 (3.6186)	Prec@1 22.656 (20.525)	Prec@5 45.703 (46.086)
Epoch: [35][1490/7045]	Time 0.266 (0.252)	Data 0.212 (0.189)	Loss 3.5978 (3.6185)	Prec@1 19.531 (20.525)	Prec@5 46.094 (46.088)
Epoch: [35][1500/7045]	Time 0.579 (0.252)	Data 0.528 (0.189)	Loss 3.7272 (3.6186)	Prec@1 16.797 (20.523)	Prec@5 41.797 (46.085)
Epoch: [35][1510/7045]	Time 0.402 (0.252)	Data 0.350 (0.189)	Loss 3.6793 (3.6186)	Prec@1 19.531 (20.523)	Prec@5 47.266 (46.090)
Epoch: [35][1520/7045]	Time 0.107 (0.252)	Data 0.018 (0.189)	Loss 3.5148 (3.6187)	Prec@1 23.438 (20.521)	Prec@5 45.703 (46.091)
Epoch: [35][1530/7045]	Time 0.169 (0.252)	Data 0.118 (0.189)	Loss 3.4732 (3.6185)	Prec@1 23.828 (20.526)	Prec@5 47.266 (46.098)
Epoch: [35][1540/7045]	Time 0.563 (0.252)	Data 0.511 (0.189)	Loss 3.5450 (3.6185)	Prec@1 25.391 (20.521)	Prec@5 48.047 (46.103)
Epoch: [35][1550/7045]	Time 0.116 (0.252)	Data 0.064 (0.188)	Loss 3.5919 (3.6183)	Prec@1 20.312 (20.529)	Prec@5 47.266 (46.110)
Epoch: [35][1560/7045]	Time 0.373 (0.252)	Data 0.317 (0.189)	Loss 3.3571 (3.6180)	Prec@1 28.125 (20.531)	Prec@5 52.344 (46.118)
Epoch: [35][1570/7045]	Time 0.101 (0.251)	Data 0.046 (0.188)	Loss 3.8427 (3.6179)	Prec@1 20.312 (20.536)	Prec@5 41.406 (46.117)
Epoch: [35][1580/7045]	Time 0.106 (0.252)	Data 0.048 (0.188)	Loss 3.5972 (3.6178)	Prec@1 23.438 (20.544)	Prec@5 44.922 (46.113)
Epoch: [35][1590/7045]	Time 0.512 (0.252)	Data 0.461 (0.188)	Loss 3.6806 (3.6176)	Prec@1 18.359 (20.538)	Prec@5 46.094 (46.117)
Epoch: [35][1600/7045]	Time 0.100 (0.251)	Data 0.001 (0.188)	Loss 3.6408 (3.6179)	Prec@1 19.922 (20.539)	Prec@5 45.312 (46.117)
Epoch: [35][1610/7045]	Time 0.619 (0.252)	Data 0.562 (0.188)	Loss 3.6979 (3.6182)	Prec@1 20.312 (20.540)	Prec@5 45.312 (46.110)
Epoch: [35][1620/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 3.6992 (3.6180)	Prec@1 19.922 (20.546)	Prec@5 47.266 (46.109)
Epoch: [35][1630/7045]	Time 0.102 (0.251)	Data 0.009 (0.188)	Loss 3.6423 (3.6178)	Prec@1 21.484 (20.554)	Prec@5 45.703 (46.114)
Epoch: [35][1640/7045]	Time 0.383 (0.251)	Data 0.333 (0.188)	Loss 3.3933 (3.6175)	Prec@1 23.438 (20.559)	Prec@5 48.828 (46.119)
Epoch: [35][1650/7045]	Time 0.101 (0.251)	Data 0.013 (0.188)	Loss 3.7472 (3.6177)	Prec@1 21.875 (20.559)	Prec@5 44.141 (46.114)
Epoch: [35][1660/7045]	Time 0.487 (0.251)	Data 0.437 (0.188)	Loss 3.6288 (3.6180)	Prec@1 18.359 (20.555)	Prec@5 47.266 (46.107)
Epoch: [35][1670/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.7042 (3.6179)	Prec@1 21.875 (20.551)	Prec@5 48.438 (46.108)
Epoch: [35][1680/7045]	Time 0.107 (0.251)	Data 0.001 (0.188)	Loss 3.3949 (3.6174)	Prec@1 24.609 (20.560)	Prec@5 51.562 (46.118)
Epoch: [35][1690/7045]	Time 0.184 (0.251)	Data 0.133 (0.187)	Loss 3.5670 (3.6179)	Prec@1 25.391 (20.551)	Prec@5 46.094 (46.102)
Epoch: [35][1700/7045]	Time 0.100 (0.251)	Data 0.001 (0.187)	Loss 3.5387 (3.6182)	Prec@1 22.266 (20.550)	Prec@5 46.484 (46.095)
Epoch: [35][1710/7045]	Time 0.530 (0.251)	Data 0.479 (0.187)	Loss 3.5290 (3.6183)	Prec@1 23.438 (20.552)	Prec@5 48.438 (46.092)
Epoch: [35][1720/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.5900 (3.6183)	Prec@1 19.922 (20.555)	Prec@5 50.391 (46.093)
Epoch: [35][1730/7045]	Time 0.109 (0.251)	Data 0.055 (0.187)	Loss 3.6694 (3.6183)	Prec@1 17.969 (20.551)	Prec@5 46.484 (46.095)
Epoch: [35][1740/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 3.8430 (3.6185)	Prec@1 18.750 (20.553)	Prec@5 44.531 (46.095)
Epoch: [35][1750/7045]	Time 0.110 (0.251)	Data 0.059 (0.187)	Loss 3.3668 (3.6182)	Prec@1 25.000 (20.561)	Prec@5 50.781 (46.105)
Epoch: [35][1760/7045]	Time 0.888 (0.251)	Data 0.836 (0.187)	Loss 3.5250 (3.6182)	Prec@1 21.094 (20.555)	Prec@5 48.047 (46.112)
Epoch: [35][1770/7045]	Time 0.100 (0.251)	Data 0.001 (0.186)	Loss 3.7080 (3.6179)	Prec@1 19.922 (20.564)	Prec@5 47.656 (46.125)
Epoch: [35][1780/7045]	Time 0.166 (0.251)	Data 0.115 (0.187)	Loss 3.7874 (3.6180)	Prec@1 19.531 (20.566)	Prec@5 43.359 (46.128)
Epoch: [35][1790/7045]	Time 0.101 (0.251)	Data 0.008 (0.186)	Loss 3.7075 (3.6185)	Prec@1 21.875 (20.560)	Prec@5 44.922 (46.122)
Epoch: [35][1800/7045]	Time 0.099 (0.251)	Data 0.001 (0.186)	Loss 3.5638 (3.6185)	Prec@1 19.922 (20.565)	Prec@5 48.047 (46.122)
Epoch: [35][1810/7045]	Time 0.102 (0.251)	Data 0.047 (0.186)	Loss 3.6828 (3.6185)	Prec@1 17.578 (20.563)	Prec@5 41.406 (46.122)
Epoch: [35][1820/7045]	Time 0.279 (0.251)	Data 0.228 (0.186)	Loss 3.6103 (3.6186)	Prec@1 23.047 (20.557)	Prec@5 48.047 (46.119)
Epoch: [35][1830/7045]	Time 0.101 (0.251)	Data 0.001 (0.186)	Loss 3.7436 (3.6186)	Prec@1 15.234 (20.553)	Prec@5 41.406 (46.120)
Epoch: [35][1840/7045]	Time 0.356 (0.251)	Data 0.306 (0.186)	Loss 3.5269 (3.6188)	Prec@1 23.438 (20.556)	Prec@5 48.438 (46.117)
Epoch: [35][1850/7045]	Time 0.231 (0.251)	Data 0.180 (0.186)	Loss 3.6053 (3.6187)	Prec@1 21.094 (20.559)	Prec@5 44.531 (46.119)
Epoch: [35][1860/7045]	Time 0.103 (0.251)	Data 0.051 (0.186)	Loss 3.5721 (3.6189)	Prec@1 17.969 (20.553)	Prec@5 46.875 (46.115)
Epoch: [35][1870/7045]	Time 0.444 (0.251)	Data 0.393 (0.186)	Loss 3.6649 (3.6187)	Prec@1 22.656 (20.555)	Prec@5 48.047 (46.123)
Epoch: [35][1880/7045]	Time 0.101 (0.251)	Data 0.001 (0.186)	Loss 3.4274 (3.6188)	Prec@1 23.047 (20.552)	Prec@5 44.141 (46.118)
Epoch: [35][1890/7045]	Time 0.237 (0.251)	Data 0.186 (0.186)	Loss 3.5514 (3.6189)	Prec@1 21.484 (20.541)	Prec@5 47.656 (46.111)
Epoch: [35][1900/7045]	Time 0.101 (0.251)	Data 0.001 (0.186)	Loss 3.6058 (3.6189)	Prec@1 18.750 (20.542)	Prec@5 46.484 (46.115)
Epoch: [35][1910/7045]	Time 0.101 (0.251)	Data 0.001 (0.186)	Loss 3.6397 (3.6191)	Prec@1 20.312 (20.538)	Prec@5 47.656 (46.113)
Epoch: [35][1920/7045]	Time 0.738 (0.251)	Data 0.687 (0.186)	Loss 3.6421 (3.6189)	Prec@1 20.703 (20.541)	Prec@5 47.266 (46.115)
Epoch: [35][1930/7045]	Time 0.423 (0.251)	Data 0.372 (0.186)	Loss 3.5472 (3.6192)	Prec@1 16.016 (20.539)	Prec@5 46.875 (46.109)
Epoch: [35][1940/7045]	Time 0.106 (0.251)	Data 0.055 (0.186)	Loss 3.4931 (3.6193)	Prec@1 22.266 (20.539)	Prec@5 47.656 (46.106)
Epoch: [35][1950/7045]	Time 0.198 (0.251)	Data 0.146 (0.186)	Loss 3.3686 (3.6189)	Prec@1 19.141 (20.537)	Prec@5 51.172 (46.113)
Epoch: [35][1960/7045]	Time 0.102 (0.251)	Data 0.045 (0.186)	Loss 3.6299 (3.6188)	Prec@1 22.266 (20.542)	Prec@5 48.438 (46.118)
Epoch: [35][1970/7045]	Time 0.443 (0.251)	Data 0.392 (0.186)	Loss 3.5123 (3.6191)	Prec@1 21.484 (20.534)	Prec@5 48.047 (46.112)
Epoch: [35][1980/7045]	Time 0.101 (0.251)	Data 0.002 (0.186)	Loss 3.6828 (3.6190)	Prec@1 16.406 (20.535)	Prec@5 46.484 (46.120)
Epoch: [35][1990/7045]	Time 0.434 (0.251)	Data 0.384 (0.186)	Loss 3.5698 (3.6189)	Prec@1 19.141 (20.534)	Prec@5 44.141 (46.116)
Epoch: [35][2000/7045]	Time 0.423 (0.251)	Data 0.372 (0.186)	Loss 3.6332 (3.6189)	Prec@1 23.047 (20.533)	Prec@5 48.047 (46.117)
Epoch: [35][2010/7045]	Time 0.101 (0.251)	Data 0.031 (0.186)	Loss 3.6006 (3.6186)	Prec@1 18.359 (20.539)	Prec@5 43.750 (46.125)
Epoch: [35][2020/7045]	Time 0.280 (0.251)	Data 0.230 (0.186)	Loss 3.6272 (3.6187)	Prec@1 21.484 (20.536)	Prec@5 44.922 (46.119)
Epoch: [35][2030/7045]	Time 0.101 (0.251)	Data 0.049 (0.186)	Loss 3.5707 (3.6186)	Prec@1 21.875 (20.540)	Prec@5 45.312 (46.117)
Epoch: [35][2040/7045]	Time 0.109 (0.251)	Data 0.001 (0.186)	Loss 3.4903 (3.6186)	Prec@1 23.047 (20.541)	Prec@5 47.266 (46.117)
Epoch: [35][2050/7045]	Time 0.102 (0.251)	Data 0.001 (0.186)	Loss 3.6340 (3.6185)	Prec@1 19.141 (20.541)	Prec@5 44.922 (46.121)
Epoch: [35][2060/7045]	Time 0.329 (0.251)	Data 0.278 (0.186)	Loss 3.5283 (3.6182)	Prec@1 22.266 (20.544)	Prec@5 50.000 (46.131)
Epoch: [35][2070/7045]	Time 0.145 (0.251)	Data 0.094 (0.186)	Loss 3.4622 (3.6181)	Prec@1 26.562 (20.550)	Prec@5 49.219 (46.133)
Epoch: [35][2080/7045]	Time 0.476 (0.251)	Data 0.415 (0.186)	Loss 3.5336 (3.6179)	Prec@1 20.312 (20.548)	Prec@5 48.438 (46.141)
Epoch: [35][2090/7045]	Time 0.119 (0.251)	Data 0.067 (0.186)	Loss 3.6726 (3.6179)	Prec@1 21.484 (20.546)	Prec@5 43.359 (46.141)
Epoch: [35][2100/7045]	Time 0.643 (0.251)	Data 0.592 (0.186)	Loss 3.8001 (3.6181)	Prec@1 17.578 (20.540)	Prec@5 44.922 (46.134)
Epoch: [35][2110/7045]	Time 0.101 (0.251)	Data 0.001 (0.186)	Loss 3.6528 (3.6181)	Prec@1 20.703 (20.537)	Prec@5 44.922 (46.133)
Epoch: [35][2120/7045]	Time 0.357 (0.251)	Data 0.306 (0.186)	Loss 3.5465 (3.6182)	Prec@1 25.391 (20.536)	Prec@5 47.656 (46.138)
Epoch: [35][2130/7045]	Time 0.363 (0.251)	Data 0.312 (0.186)	Loss 3.7420 (3.6184)	Prec@1 13.672 (20.532)	Prec@5 42.188 (46.133)
Epoch: [35][2140/7045]	Time 0.136 (0.251)	Data 0.084 (0.186)	Loss 3.5324 (3.6184)	Prec@1 20.703 (20.528)	Prec@5 48.828 (46.132)
Epoch: [35][2150/7045]	Time 0.218 (0.251)	Data 0.166 (0.186)	Loss 3.5256 (3.6185)	Prec@1 19.141 (20.528)	Prec@5 47.656 (46.131)
Epoch: [35][2160/7045]	Time 0.101 (0.251)	Data 0.046 (0.186)	Loss 3.7250 (3.6182)	Prec@1 19.531 (20.529)	Prec@5 45.703 (46.140)
Epoch: [35][2170/7045]	Time 0.538 (0.251)	Data 0.487 (0.186)	Loss 3.4276 (3.6181)	Prec@1 21.094 (20.525)	Prec@5 54.297 (46.143)
Epoch: [35][2180/7045]	Time 0.101 (0.251)	Data 0.001 (0.186)	Loss 3.5802 (3.6180)	Prec@1 23.047 (20.533)	Prec@5 44.922 (46.146)
Epoch: [35][2190/7045]	Time 0.111 (0.251)	Data 0.001 (0.186)	Loss 3.7254 (3.6180)	Prec@1 21.094 (20.533)	Prec@5 43.750 (46.149)
Epoch: [35][2200/7045]	Time 0.333 (0.251)	Data 0.281 (0.187)	Loss 3.4570 (3.6176)	Prec@1 26.172 (20.547)	Prec@5 51.172 (46.158)
Epoch: [35][2210/7045]	Time 0.104 (0.251)	Data 0.053 (0.186)	Loss 3.7359 (3.6175)	Prec@1 22.656 (20.553)	Prec@5 44.531 (46.160)
Epoch: [35][2220/7045]	Time 0.106 (0.251)	Data 0.054 (0.187)	Loss 3.7144 (3.6176)	Prec@1 17.578 (20.553)	Prec@5 45.312 (46.159)
Epoch: [35][2230/7045]	Time 0.179 (0.251)	Data 0.127 (0.186)	Loss 3.6427 (3.6177)	Prec@1 21.484 (20.552)	Prec@5 42.969 (46.153)
Epoch: [35][2240/7045]	Time 0.107 (0.251)	Data 0.001 (0.186)	Loss 3.7171 (3.6178)	Prec@1 23.438 (20.557)	Prec@5 43.750 (46.154)
Epoch: [35][2250/7045]	Time 0.564 (0.251)	Data 0.513 (0.186)	Loss 3.6708 (3.6178)	Prec@1 19.531 (20.560)	Prec@5 43.359 (46.157)
Epoch: [35][2260/7045]	Time 0.324 (0.251)	Data 0.274 (0.186)	Loss 3.5733 (3.6178)	Prec@1 21.484 (20.563)	Prec@5 44.922 (46.156)
Epoch: [35][2270/7045]	Time 0.104 (0.251)	Data 0.001 (0.186)	Loss 3.5366 (3.6177)	Prec@1 17.578 (20.567)	Prec@5 48.438 (46.159)
Epoch: [35][2280/7045]	Time 0.210 (0.251)	Data 0.160 (0.186)	Loss 3.6254 (3.6176)	Prec@1 17.969 (20.569)	Prec@5 46.094 (46.162)
Epoch: [35][2290/7045]	Time 0.102 (0.251)	Data 0.005 (0.186)	Loss 3.4536 (3.6174)	Prec@1 24.609 (20.575)	Prec@5 47.656 (46.168)
Epoch: [35][2300/7045]	Time 0.480 (0.251)	Data 0.429 (0.186)	Loss 3.4806 (3.6173)	Prec@1 22.266 (20.574)	Prec@5 50.781 (46.171)
Epoch: [35][2310/7045]	Time 0.317 (0.251)	Data 0.265 (0.186)	Loss 3.6700 (3.6171)	Prec@1 16.016 (20.578)	Prec@5 45.703 (46.177)
Epoch: [35][2320/7045]	Time 0.110 (0.251)	Data 0.012 (0.186)	Loss 3.7521 (3.6169)	Prec@1 19.141 (20.584)	Prec@5 42.188 (46.178)
Epoch: [35][2330/7045]	Time 0.225 (0.251)	Data 0.173 (0.186)	Loss 3.8174 (3.6172)	Prec@1 14.844 (20.583)	Prec@5 42.188 (46.174)
Epoch: [35][2340/7045]	Time 0.106 (0.251)	Data 0.052 (0.186)	Loss 3.5915 (3.6172)	Prec@1 26.172 (20.583)	Prec@5 47.266 (46.171)
Epoch: [35][2350/7045]	Time 0.545 (0.251)	Data 0.492 (0.186)	Loss 3.4659 (3.6172)	Prec@1 22.656 (20.587)	Prec@5 51.172 (46.176)
Epoch: [35][2360/7045]	Time 0.445 (0.251)	Data 0.395 (0.186)	Loss 3.6811 (3.6172)	Prec@1 19.531 (20.585)	Prec@5 43.359 (46.175)
Epoch: [35][2370/7045]	Time 0.110 (0.251)	Data 0.059 (0.186)	Loss 3.6794 (3.6170)	Prec@1 20.312 (20.588)	Prec@5 44.922 (46.181)
Epoch: [35][2380/7045]	Time 0.363 (0.251)	Data 0.311 (0.186)	Loss 3.8108 (3.6170)	Prec@1 13.281 (20.588)	Prec@5 45.703 (46.179)
Epoch: [35][2390/7045]	Time 0.193 (0.251)	Data 0.142 (0.186)	Loss 3.6817 (3.6168)	Prec@1 21.484 (20.593)	Prec@5 43.359 (46.186)
Epoch: [35][2400/7045]	Time 0.105 (0.251)	Data 0.053 (0.186)	Loss 3.7311 (3.6170)	Prec@1 20.312 (20.589)	Prec@5 43.750 (46.184)
Epoch: [35][2410/7045]	Time 0.174 (0.251)	Data 0.123 (0.186)	Loss 3.5622 (3.6168)	Prec@1 20.703 (20.590)	Prec@5 48.828 (46.189)
Epoch: [35][2420/7045]	Time 0.410 (0.251)	Data 0.358 (0.186)	Loss 3.7936 (3.6171)	Prec@1 17.578 (20.585)	Prec@5 40.234 (46.183)
Epoch: [35][2430/7045]	Time 0.101 (0.251)	Data 0.001 (0.186)	Loss 3.6993 (3.6171)	Prec@1 21.094 (20.586)	Prec@5 46.484 (46.181)
Epoch: [35][2440/7045]	Time 0.250 (0.251)	Data 0.198 (0.186)	Loss 3.4841 (3.6171)	Prec@1 19.531 (20.589)	Prec@5 50.000 (46.182)
Epoch: [35][2450/7045]	Time 0.395 (0.251)	Data 0.343 (0.186)	Loss 3.5124 (3.6171)	Prec@1 17.578 (20.587)	Prec@5 53.906 (46.182)
Epoch: [35][2460/7045]	Time 0.133 (0.251)	Data 0.082 (0.186)	Loss 3.5933 (3.6169)	Prec@1 21.875 (20.593)	Prec@5 49.609 (46.188)
Epoch: [35][2470/7045]	Time 0.474 (0.251)	Data 0.422 (0.186)	Loss 3.5970 (3.6170)	Prec@1 19.531 (20.593)	Prec@5 51.953 (46.192)
Epoch: [35][2480/7045]	Time 0.264 (0.251)	Data 0.213 (0.186)	Loss 3.7177 (3.6172)	Prec@1 16.797 (20.589)	Prec@5 44.531 (46.189)
Epoch: [35][2490/7045]	Time 0.211 (0.250)	Data 0.161 (0.186)	Loss 3.6077 (3.6171)	Prec@1 23.438 (20.591)	Prec@5 50.781 (46.194)
Epoch: [35][2500/7045]	Time 0.460 (0.251)	Data 0.409 (0.186)	Loss 3.9768 (3.6169)	Prec@1 14.062 (20.591)	Prec@5 37.891 (46.197)
Epoch: [35][2510/7045]	Time 0.100 (0.250)	Data 0.044 (0.186)	Loss 3.5005 (3.6169)	Prec@1 19.531 (20.587)	Prec@5 48.828 (46.200)
Epoch: [35][2520/7045]	Time 0.109 (0.251)	Data 0.001 (0.186)	Loss 3.4839 (3.6169)	Prec@1 23.828 (20.590)	Prec@5 49.609 (46.199)
Epoch: [35][2530/7045]	Time 0.101 (0.250)	Data 0.001 (0.186)	Loss 3.6699 (3.6169)	Prec@1 22.656 (20.591)	Prec@5 48.438 (46.197)
Epoch: [35][2540/7045]	Time 0.319 (0.250)	Data 0.262 (0.186)	Loss 3.5363 (3.6169)	Prec@1 18.359 (20.589)	Prec@5 45.703 (46.198)
Epoch: [35][2550/7045]	Time 0.370 (0.250)	Data 0.320 (0.186)	Loss 3.6236 (3.6170)	Prec@1 16.406 (20.579)	Prec@5 43.359 (46.200)
Epoch: [35][2560/7045]	Time 0.101 (0.250)	Data 0.045 (0.186)	Loss 3.5538 (3.6169)	Prec@1 19.922 (20.576)	Prec@5 47.266 (46.198)
Epoch: [35][2570/7045]	Time 0.105 (0.250)	Data 0.054 (0.186)	Loss 3.4971 (3.6169)	Prec@1 20.703 (20.577)	Prec@5 48.438 (46.199)
Epoch: [35][2580/7045]	Time 0.101 (0.250)	Data 0.046 (0.186)	Loss 3.4982 (3.6167)	Prec@1 21.875 (20.577)	Prec@5 47.266 (46.199)
Epoch: [35][2590/7045]	Time 0.419 (0.250)	Data 0.368 (0.186)	Loss 3.5693 (3.6168)	Prec@1 21.875 (20.576)	Prec@5 44.531 (46.197)
Epoch: [35][2600/7045]	Time 0.348 (0.250)	Data 0.297 (0.186)	Loss 3.5063 (3.6164)	Prec@1 19.922 (20.577)	Prec@5 51.562 (46.206)
Epoch: [35][2610/7045]	Time 0.103 (0.250)	Data 0.044 (0.186)	Loss 3.4800 (3.6165)	Prec@1 20.312 (20.572)	Prec@5 50.781 (46.203)
Epoch: [35][2620/7045]	Time 0.483 (0.250)	Data 0.431 (0.186)	Loss 3.4532 (3.6164)	Prec@1 21.875 (20.572)	Prec@5 50.781 (46.202)
Epoch: [35][2630/7045]	Time 0.226 (0.250)	Data 0.175 (0.186)	Loss 3.5044 (3.6165)	Prec@1 25.391 (20.572)	Prec@5 50.000 (46.201)
Epoch: [35][2640/7045]	Time 0.107 (0.250)	Data 0.001 (0.186)	Loss 3.6821 (3.6168)	Prec@1 21.484 (20.567)	Prec@5 50.391 (46.197)
Epoch: [35][2650/7045]	Time 0.101 (0.250)	Data 0.001 (0.186)	Loss 3.5358 (3.6168)	Prec@1 26.172 (20.568)	Prec@5 47.656 (46.196)
Epoch: [35][2660/7045]	Time 0.314 (0.250)	Data 0.263 (0.186)	Loss 3.6441 (3.6167)	Prec@1 23.047 (20.570)	Prec@5 47.266 (46.201)
Epoch: [35][2670/7045]	Time 0.818 (0.250)	Data 0.767 (0.186)	Loss 3.6286 (3.6167)	Prec@1 19.922 (20.568)	Prec@5 46.094 (46.199)
Epoch: [35][2680/7045]	Time 0.108 (0.250)	Data 0.001 (0.186)	Loss 3.6384 (3.6166)	Prec@1 18.359 (20.567)	Prec@5 45.703 (46.201)
Epoch: [35][2690/7045]	Time 0.179 (0.250)	Data 0.128 (0.186)	Loss 3.7652 (3.6165)	Prec@1 18.359 (20.567)	Prec@5 43.359 (46.199)
Epoch: [35][2700/7045]	Time 0.101 (0.250)	Data 0.001 (0.186)	Loss 3.7000 (3.6163)	Prec@1 19.531 (20.571)	Prec@5 39.844 (46.203)
Epoch: [35][2710/7045]	Time 0.257 (0.250)	Data 0.206 (0.186)	Loss 3.6220 (3.6163)	Prec@1 17.969 (20.571)	Prec@5 44.141 (46.203)
Epoch: [35][2720/7045]	Time 0.794 (0.250)	Data 0.742 (0.186)	Loss 3.7108 (3.6162)	Prec@1 21.094 (20.574)	Prec@5 42.969 (46.205)
Epoch: [35][2730/7045]	Time 0.102 (0.250)	Data 0.005 (0.185)	Loss 3.6692 (3.6162)	Prec@1 22.266 (20.575)	Prec@5 48.438 (46.209)
Epoch: [35][2740/7045]	Time 0.107 (0.250)	Data 0.001 (0.186)	Loss 3.6460 (3.6163)	Prec@1 19.141 (20.573)	Prec@5 43.750 (46.205)
Epoch: [35][2750/7045]	Time 0.187 (0.250)	Data 0.135 (0.185)	Loss 3.6559 (3.6164)	Prec@1 18.359 (20.571)	Prec@5 43.750 (46.205)
Epoch: [35][2760/7045]	Time 0.102 (0.250)	Data 0.046 (0.185)	Loss 3.5198 (3.6164)	Prec@1 23.828 (20.569)	Prec@5 45.703 (46.204)
Epoch: [35][2770/7045]	Time 0.534 (0.250)	Data 0.482 (0.185)	Loss 3.6880 (3.6165)	Prec@1 19.531 (20.569)	Prec@5 44.531 (46.201)
Epoch: [35][2780/7045]	Time 0.101 (0.250)	Data 0.003 (0.185)	Loss 3.5465 (3.6163)	Prec@1 19.531 (20.569)	Prec@5 46.484 (46.206)
Epoch: [35][2790/7045]	Time 0.104 (0.250)	Data 0.052 (0.185)	Loss 3.6946 (3.6164)	Prec@1 20.312 (20.569)	Prec@5 43.359 (46.208)
Epoch: [35][2800/7045]	Time 0.102 (0.250)	Data 0.001 (0.185)	Loss 3.7626 (3.6163)	Prec@1 16.016 (20.572)	Prec@5 45.703 (46.210)
Epoch: [35][2810/7045]	Time 0.173 (0.250)	Data 0.116 (0.185)	Loss 3.6359 (3.6161)	Prec@1 23.828 (20.577)	Prec@5 48.438 (46.215)
Epoch: [35][2820/7045]	Time 0.900 (0.250)	Data 0.849 (0.185)	Loss 3.5571 (3.6159)	Prec@1 17.969 (20.577)	Prec@5 47.266 (46.220)
Epoch: [35][2830/7045]	Time 0.108 (0.250)	Data 0.047 (0.185)	Loss 3.7299 (3.6158)	Prec@1 21.094 (20.579)	Prec@5 41.406 (46.220)
Epoch: [35][2840/7045]	Time 0.564 (0.250)	Data 0.507 (0.185)	Loss 3.7034 (3.6158)	Prec@1 19.141 (20.578)	Prec@5 44.922 (46.220)
Epoch: [35][2850/7045]	Time 0.103 (0.250)	Data 0.050 (0.185)	Loss 3.5442 (3.6157)	Prec@1 16.797 (20.580)	Prec@5 45.312 (46.219)
Epoch: [35][2860/7045]	Time 0.235 (0.250)	Data 0.184 (0.185)	Loss 3.5509 (3.6157)	Prec@1 19.922 (20.580)	Prec@5 43.750 (46.214)
Epoch: [35][2870/7045]	Time 0.101 (0.250)	Data 0.001 (0.185)	Loss 3.4613 (3.6154)	Prec@1 25.391 (20.587)	Prec@5 50.781 (46.222)
Epoch: [35][2880/7045]	Time 0.101 (0.250)	Data 0.022 (0.185)	Loss 3.6178 (3.6153)	Prec@1 20.703 (20.589)	Prec@5 46.875 (46.224)
Epoch: [35][2890/7045]	Time 0.509 (0.250)	Data 0.457 (0.185)	Loss 3.5758 (3.6151)	Prec@1 20.703 (20.589)	Prec@5 44.531 (46.227)
Epoch: [35][2900/7045]	Time 0.101 (0.250)	Data 0.001 (0.185)	Loss 3.5682 (3.6147)	Prec@1 21.484 (20.591)	Prec@5 50.391 (46.237)
Epoch: [35][2910/7045]	Time 0.219 (0.250)	Data 0.163 (0.185)	Loss 3.4859 (3.6143)	Prec@1 23.828 (20.596)	Prec@5 49.219 (46.243)
Epoch: [35][2920/7045]	Time 0.325 (0.250)	Data 0.275 (0.185)	Loss 3.4633 (3.6141)	Prec@1 25.781 (20.600)	Prec@5 48.438 (46.248)
Epoch: [35][2930/7045]	Time 0.102 (0.250)	Data 0.001 (0.185)	Loss 3.4681 (3.6138)	Prec@1 20.703 (20.603)	Prec@5 50.391 (46.252)
Epoch: [35][2940/7045]	Time 0.104 (0.250)	Data 0.051 (0.185)	Loss 3.6837 (3.6140)	Prec@1 20.703 (20.601)	Prec@5 44.531 (46.248)
Epoch: [35][2950/7045]	Time 0.100 (0.250)	Data 0.001 (0.185)	Loss 3.6116 (3.6140)	Prec@1 20.703 (20.602)	Prec@5 48.438 (46.251)
Epoch: [35][2960/7045]	Time 0.113 (0.250)	Data 0.062 (0.185)	Loss 3.6015 (3.6138)	Prec@1 22.656 (20.606)	Prec@5 46.094 (46.253)
Epoch: [35][2970/7045]	Time 0.598 (0.250)	Data 0.547 (0.185)	Loss 3.5350 (3.6140)	Prec@1 20.312 (20.600)	Prec@5 46.875 (46.244)
Epoch: [35][2980/7045]	Time 0.209 (0.250)	Data 0.158 (0.185)	Loss 3.8717 (3.6140)	Prec@1 17.969 (20.599)	Prec@5 42.969 (46.246)
Epoch: [35][2990/7045]	Time 0.545 (0.250)	Data 0.494 (0.185)	Loss 3.5813 (3.6137)	Prec@1 19.141 (20.604)	Prec@5 46.875 (46.253)
Epoch: [35][3000/7045]	Time 0.494 (0.250)	Data 0.443 (0.185)	Loss 3.4655 (3.6136)	Prec@1 25.000 (20.609)	Prec@5 52.734 (46.260)
Epoch: [35][3010/7045]	Time 0.102 (0.250)	Data 0.001 (0.185)	Loss 3.8658 (3.6136)	Prec@1 17.578 (20.608)	Prec@5 41.406 (46.259)
Epoch: [35][3020/7045]	Time 0.268 (0.250)	Data 0.215 (0.185)	Loss 3.7355 (3.6135)	Prec@1 20.703 (20.610)	Prec@5 44.141 (46.262)
Epoch: [35][3030/7045]	Time 0.102 (0.250)	Data 0.001 (0.185)	Loss 3.6643 (3.6135)	Prec@1 23.438 (20.610)	Prec@5 44.922 (46.261)
Epoch: [35][3040/7045]	Time 0.096 (0.250)	Data 0.001 (0.185)	Loss 3.3980 (3.6133)	Prec@1 23.828 (20.614)	Prec@5 49.609 (46.265)
Epoch: [35][3050/7045]	Time 0.531 (0.250)	Data 0.480 (0.185)	Loss 3.7452 (3.6134)	Prec@1 22.656 (20.613)	Prec@5 45.312 (46.265)
Epoch: [35][3060/7045]	Time 0.102 (0.250)	Data 0.001 (0.185)	Loss 3.6062 (3.6133)	Prec@1 21.094 (20.615)	Prec@5 48.438 (46.266)
Epoch: [35][3070/7045]	Time 0.587 (0.250)	Data 0.536 (0.185)	Loss 3.5826 (3.6134)	Prec@1 23.047 (20.614)	Prec@5 48.047 (46.264)
Epoch: [35][3080/7045]	Time 0.110 (0.250)	Data 0.059 (0.185)	Loss 3.7386 (3.6131)	Prec@1 17.578 (20.619)	Prec@5 39.844 (46.268)
Epoch: [35][3090/7045]	Time 0.106 (0.250)	Data 0.054 (0.185)	Loss 3.6869 (3.6132)	Prec@1 19.141 (20.621)	Prec@5 47.656 (46.266)
Epoch: [35][3100/7045]	Time 0.372 (0.250)	Data 0.321 (0.185)	Loss 3.6523 (3.6132)	Prec@1 18.750 (20.619)	Prec@5 43.359 (46.263)
Epoch: [35][3110/7045]	Time 0.102 (0.250)	Data 0.001 (0.185)	Loss 3.4432 (3.6132)	Prec@1 21.875 (20.617)	Prec@5 48.438 (46.262)
Epoch: [35][3120/7045]	Time 0.150 (0.250)	Data 0.099 (0.185)	Loss 3.6106 (3.6132)	Prec@1 19.141 (20.617)	Prec@5 45.703 (46.262)
Epoch: [35][3130/7045]	Time 0.260 (0.250)	Data 0.209 (0.185)	Loss 3.5166 (3.6132)	Prec@1 22.656 (20.618)	Prec@5 50.781 (46.265)
Epoch: [35][3140/7045]	Time 0.101 (0.250)	Data 0.048 (0.185)	Loss 3.6959 (3.6130)	Prec@1 18.750 (20.623)	Prec@5 45.703 (46.270)
Epoch: [35][3150/7045]	Time 0.388 (0.250)	Data 0.338 (0.185)	Loss 3.6125 (3.6130)	Prec@1 22.266 (20.623)	Prec@5 44.531 (46.267)
Epoch: [35][3160/7045]	Time 0.359 (0.250)	Data 0.308 (0.185)	Loss 3.6223 (3.6128)	Prec@1 18.750 (20.624)	Prec@5 47.656 (46.271)
Epoch: [35][3170/7045]	Time 0.147 (0.250)	Data 0.090 (0.185)	Loss 3.4977 (3.6127)	Prec@1 22.656 (20.629)	Prec@5 47.266 (46.274)
Epoch: [35][3180/7045]	Time 0.107 (0.250)	Data 0.057 (0.185)	Loss 3.7404 (3.6125)	Prec@1 17.188 (20.630)	Prec@5 40.625 (46.281)
Epoch: [35][3190/7045]	Time 0.110 (0.250)	Data 0.059 (0.185)	Loss 3.4989 (3.6122)	Prec@1 20.703 (20.634)	Prec@5 48.828 (46.283)
Epoch: [35][3200/7045]	Time 0.373 (0.250)	Data 0.316 (0.185)	Loss 3.5716 (3.6120)	Prec@1 20.703 (20.636)	Prec@5 45.703 (46.291)
Epoch: [35][3210/7045]	Time 0.464 (0.250)	Data 0.413 (0.185)	Loss 3.6271 (3.6119)	Prec@1 21.484 (20.632)	Prec@5 45.312 (46.292)
Epoch: [35][3220/7045]	Time 0.193 (0.250)	Data 0.140 (0.185)	Loss 3.8114 (3.6120)	Prec@1 15.625 (20.626)	Prec@5 41.016 (46.291)
Epoch: [35][3230/7045]	Time 0.161 (0.250)	Data 0.110 (0.185)	Loss 3.5883 (3.6121)	Prec@1 18.750 (20.625)	Prec@5 48.047 (46.290)
Epoch: [35][3240/7045]	Time 0.190 (0.250)	Data 0.139 (0.185)	Loss 3.7216 (3.6119)	Prec@1 16.406 (20.627)	Prec@5 42.969 (46.295)
Epoch: [35][3250/7045]	Time 0.309 (0.250)	Data 0.257 (0.185)	Loss 3.5873 (3.6118)	Prec@1 20.312 (20.626)	Prec@5 48.047 (46.297)
Epoch: [35][3260/7045]	Time 0.430 (0.250)	Data 0.380 (0.185)	Loss 3.5728 (3.6115)	Prec@1 21.875 (20.631)	Prec@5 47.266 (46.303)
Epoch: [35][3270/7045]	Time 0.100 (0.250)	Data 0.001 (0.185)	Loss 3.4459 (3.6115)	Prec@1 20.312 (20.630)	Prec@5 48.828 (46.305)
Epoch: [35][3280/7045]	Time 0.102 (0.250)	Data 0.006 (0.185)	Loss 3.7806 (3.6114)	Prec@1 18.359 (20.633)	Prec@5 42.578 (46.308)
Epoch: [35][3290/7045]	Time 0.109 (0.250)	Data 0.056 (0.185)	Loss 3.5079 (3.6113)	Prec@1 24.219 (20.638)	Prec@5 49.219 (46.310)
Epoch: [35][3300/7045]	Time 0.335 (0.250)	Data 0.284 (0.185)	Loss 3.6362 (3.6114)	Prec@1 19.531 (20.638)	Prec@5 48.047 (46.311)
Epoch: [35][3310/7045]	Time 0.751 (0.250)	Data 0.699 (0.185)	Loss 3.4857 (3.6113)	Prec@1 21.094 (20.638)	Prec@5 53.125 (46.314)
Epoch: [35][3320/7045]	Time 0.102 (0.250)	Data 0.004 (0.185)	Loss 3.5855 (3.6111)	Prec@1 19.141 (20.638)	Prec@5 50.000 (46.316)
Epoch: [35][3330/7045]	Time 0.358 (0.250)	Data 0.305 (0.185)	Loss 3.5693 (3.6111)	Prec@1 19.531 (20.640)	Prec@5 46.484 (46.318)
Epoch: [35][3340/7045]	Time 0.261 (0.250)	Data 0.211 (0.185)	Loss 3.3037 (3.6109)	Prec@1 29.297 (20.644)	Prec@5 52.344 (46.322)
Epoch: [35][3350/7045]	Time 0.130 (0.250)	Data 0.078 (0.185)	Loss 3.5518 (3.6108)	Prec@1 25.000 (20.646)	Prec@5 47.656 (46.327)
Epoch: [35][3360/7045]	Time 0.286 (0.250)	Data 0.234 (0.185)	Loss 3.5345 (3.6108)	Prec@1 23.828 (20.644)	Prec@5 46.875 (46.328)
Epoch: [35][3370/7045]	Time 0.157 (0.250)	Data 0.107 (0.185)	Loss 3.6580 (3.6109)	Prec@1 21.875 (20.643)	Prec@5 46.484 (46.328)
Epoch: [35][3380/7045]	Time 0.102 (0.250)	Data 0.001 (0.185)	Loss 3.6669 (3.6109)	Prec@1 19.141 (20.642)	Prec@5 46.875 (46.330)
Epoch: [35][3390/7045]	Time 0.108 (0.250)	Data 0.001 (0.185)	Loss 3.6820 (3.6108)	Prec@1 21.484 (20.647)	Prec@5 46.875 (46.330)
Epoch: [35][3400/7045]	Time 0.435 (0.250)	Data 0.384 (0.185)	Loss 3.5492 (3.6107)	Prec@1 20.312 (20.649)	Prec@5 48.828 (46.331)
Epoch: [35][3410/7045]	Time 0.107 (0.250)	Data 0.001 (0.185)	Loss 3.7205 (3.6107)	Prec@1 19.922 (20.649)	Prec@5 41.797 (46.327)
Epoch: [35][3420/7045]	Time 0.240 (0.250)	Data 0.189 (0.185)	Loss 3.7943 (3.6106)	Prec@1 22.266 (20.651)	Prec@5 41.797 (46.331)
Epoch: [35][3430/7045]	Time 0.691 (0.250)	Data 0.639 (0.185)	Loss 3.5394 (3.6105)	Prec@1 25.000 (20.656)	Prec@5 51.172 (46.337)
Epoch: [35][3440/7045]	Time 0.243 (0.250)	Data 0.193 (0.185)	Loss 3.4741 (3.6105)	Prec@1 22.656 (20.655)	Prec@5 48.828 (46.335)
Epoch: [35][3450/7045]	Time 0.234 (0.250)	Data 0.183 (0.185)	Loss 3.5283 (3.6104)	Prec@1 21.484 (20.656)	Prec@5 47.266 (46.338)
Epoch: [35][3460/7045]	Time 0.471 (0.250)	Data 0.412 (0.185)	Loss 3.7065 (3.6102)	Prec@1 21.484 (20.659)	Prec@5 42.578 (46.341)
Epoch: [35][3470/7045]	Time 0.390 (0.250)	Data 0.339 (0.185)	Loss 3.6655 (3.6104)	Prec@1 17.969 (20.655)	Prec@5 47.656 (46.340)
Epoch: [35][3480/7045]	Time 0.243 (0.250)	Data 0.191 (0.185)	Loss 3.5484 (3.6104)	Prec@1 20.703 (20.654)	Prec@5 45.703 (46.339)
Epoch: [35][3490/7045]	Time 0.105 (0.250)	Data 0.054 (0.185)	Loss 3.6943 (3.6103)	Prec@1 20.703 (20.657)	Prec@5 41.797 (46.341)
Epoch: [35][3500/7045]	Time 0.398 (0.250)	Data 0.336 (0.185)	Loss 3.7427 (3.6105)	Prec@1 14.062 (20.654)	Prec@5 46.094 (46.338)
Epoch: [35][3510/7045]	Time 0.566 (0.250)	Data 0.512 (0.185)	Loss 3.5205 (3.6103)	Prec@1 21.875 (20.655)	Prec@5 48.438 (46.341)
Epoch: [35][3520/7045]	Time 0.101 (0.250)	Data 0.001 (0.185)	Loss 3.7272 (3.6104)	Prec@1 17.188 (20.655)	Prec@5 44.141 (46.341)
Epoch: [35][3530/7045]	Time 0.109 (0.250)	Data 0.001 (0.185)	Loss 3.5184 (3.6103)	Prec@1 21.484 (20.657)	Prec@5 49.609 (46.341)
Epoch: [35][3540/7045]	Time 0.107 (0.250)	Data 0.056 (0.185)	Loss 3.6624 (3.6102)	Prec@1 21.484 (20.658)	Prec@5 46.875 (46.342)
Epoch: [35][3550/7045]	Time 0.141 (0.250)	Data 0.089 (0.185)	Loss 3.6744 (3.6102)	Prec@1 23.047 (20.657)	Prec@5 48.438 (46.345)
Epoch: [35][3560/7045]	Time 0.102 (0.250)	Data 0.049 (0.185)	Loss 3.5029 (3.6102)	Prec@1 19.141 (20.656)	Prec@5 46.094 (46.346)
Epoch: [35][3570/7045]	Time 0.895 (0.250)	Data 0.843 (0.185)	Loss 3.7599 (3.6102)	Prec@1 17.969 (20.654)	Prec@5 42.188 (46.346)
Epoch: [35][3580/7045]	Time 0.102 (0.250)	Data 0.005 (0.185)	Loss 3.6891 (3.6101)	Prec@1 20.312 (20.657)	Prec@5 42.578 (46.348)
Epoch: [35][3590/7045]	Time 0.310 (0.250)	Data 0.259 (0.185)	Loss 3.5775 (3.6100)	Prec@1 20.703 (20.661)	Prec@5 46.484 (46.352)
Epoch: [35][3600/7045]	Time 0.277 (0.250)	Data 0.225 (0.185)	Loss 3.6018 (3.6098)	Prec@1 21.094 (20.663)	Prec@5 48.438 (46.357)
Epoch: [35][3610/7045]	Time 0.188 (0.250)	Data 0.130 (0.185)	Loss 3.6198 (3.6098)	Prec@1 20.312 (20.666)	Prec@5 47.656 (46.361)
Epoch: [35][3620/7045]	Time 0.109 (0.250)	Data 0.007 (0.185)	Loss 3.5414 (3.6096)	Prec@1 20.312 (20.669)	Prec@5 46.094 (46.366)
Epoch: [35][3630/7045]	Time 0.101 (0.250)	Data 0.047 (0.185)	Loss 3.5426 (3.6096)	Prec@1 21.875 (20.670)	Prec@5 48.828 (46.368)
Epoch: [35][3640/7045]	Time 0.101 (0.250)	Data 0.003 (0.185)	Loss 3.4831 (3.6095)	Prec@1 21.094 (20.674)	Prec@5 49.609 (46.373)
Epoch: [35][3650/7045]	Time 0.959 (0.250)	Data 0.908 (0.185)	Loss 3.7239 (3.6094)	Prec@1 18.750 (20.676)	Prec@5 45.703 (46.374)
Epoch: [35][3660/7045]	Time 0.103 (0.250)	Data 0.001 (0.185)	Loss 3.6739 (3.6094)	Prec@1 19.141 (20.675)	Prec@5 44.922 (46.373)
Epoch: [35][3670/7045]	Time 0.106 (0.250)	Data 0.001 (0.185)	Loss 3.6625 (3.6096)	Prec@1 23.828 (20.674)	Prec@5 46.094 (46.372)
Epoch: [35][3680/7045]	Time 0.102 (0.250)	Data 0.001 (0.185)	Loss 3.5476 (3.6094)	Prec@1 19.531 (20.674)	Prec@5 48.047 (46.375)
Epoch: [35][3690/7045]	Time 0.150 (0.250)	Data 0.100 (0.185)	Loss 3.4957 (3.6094)	Prec@1 21.484 (20.675)	Prec@5 50.000 (46.376)
Epoch: [35][3700/7045]	Time 0.573 (0.250)	Data 0.522 (0.185)	Loss 3.5015 (3.6093)	Prec@1 23.438 (20.675)	Prec@5 48.438 (46.379)
Epoch: [35][3710/7045]	Time 0.132 (0.250)	Data 0.081 (0.185)	Loss 3.6293 (3.6091)	Prec@1 20.312 (20.679)	Prec@5 46.484 (46.381)
Epoch: [35][3720/7045]	Time 0.102 (0.250)	Data 0.001 (0.185)	Loss 3.6648 (3.6090)	Prec@1 21.875 (20.679)	Prec@5 46.094 (46.386)
Epoch: [35][3730/7045]	Time 0.339 (0.250)	Data 0.286 (0.185)	Loss 3.5044 (3.6091)	Prec@1 23.828 (20.683)	Prec@5 50.000 (46.388)
Epoch: [35][3740/7045]	Time 0.102 (0.250)	Data 0.001 (0.185)	Loss 3.4264 (3.6087)	Prec@1 20.312 (20.689)	Prec@5 51.562 (46.394)
Epoch: [35][3750/7045]	Time 0.324 (0.250)	Data 0.271 (0.185)	Loss 3.5872 (3.6086)	Prec@1 19.141 (20.691)	Prec@5 47.266 (46.395)
Epoch: [35][3760/7045]	Time 0.102 (0.250)	Data 0.005 (0.185)	Loss 3.6648 (3.6085)	Prec@1 17.969 (20.691)	Prec@5 42.969 (46.395)
Epoch: [35][3770/7045]	Time 0.201 (0.250)	Data 0.149 (0.185)	Loss 3.4590 (3.6084)	Prec@1 22.656 (20.690)	Prec@5 47.656 (46.399)
Epoch: [35][3780/7045]	Time 0.367 (0.250)	Data 0.316 (0.185)	Loss 3.6071 (3.6083)	Prec@1 24.219 (20.694)	Prec@5 46.484 (46.402)
Epoch: [35][3790/7045]	Time 0.107 (0.250)	Data 0.055 (0.185)	Loss 3.5780 (3.6080)	Prec@1 18.359 (20.697)	Prec@5 39.453 (46.407)
Epoch: [35][3800/7045]	Time 0.205 (0.250)	Data 0.154 (0.185)	Loss 3.5024 (3.6077)	Prec@1 23.047 (20.700)	Prec@5 50.000 (46.413)
Epoch: [35][3810/7045]	Time 0.289 (0.250)	Data 0.237 (0.185)	Loss 3.5025 (3.6077)	Prec@1 20.312 (20.700)	Prec@5 50.000 (46.411)
Epoch: [35][3820/7045]	Time 0.102 (0.250)	Data 0.003 (0.185)	Loss 3.5318 (3.6077)	Prec@1 25.391 (20.702)	Prec@5 48.828 (46.412)
Epoch: [35][3830/7045]	Time 0.633 (0.250)	Data 0.583 (0.185)	Loss 3.7165 (3.6076)	Prec@1 23.047 (20.701)	Prec@5 43.750 (46.416)
Epoch: [35][3840/7045]	Time 0.150 (0.250)	Data 0.099 (0.185)	Loss 3.5584 (3.6075)	Prec@1 24.609 (20.700)	Prec@5 50.000 (46.416)
Epoch: [35][3850/7045]	Time 0.101 (0.250)	Data 0.001 (0.185)	Loss 3.5209 (3.6074)	Prec@1 19.141 (20.699)	Prec@5 49.219 (46.420)
Epoch: [35][3860/7045]	Time 0.624 (0.250)	Data 0.573 (0.185)	Loss 3.5694 (3.6073)	Prec@1 18.359 (20.695)	Prec@5 46.875 (46.423)
Epoch: [35][3870/7045]	Time 0.312 (0.250)	Data 0.260 (0.185)	Loss 3.4626 (3.6073)	Prec@1 21.875 (20.694)	Prec@5 49.609 (46.422)
Epoch: [35][3880/7045]	Time 0.103 (0.250)	Data 0.051 (0.185)	Loss 3.4989 (3.6073)	Prec@1 23.047 (20.695)	Prec@5 47.656 (46.423)
Epoch: [35][3890/7045]	Time 0.101 (0.250)	Data 0.001 (0.185)	Loss 3.4417 (3.6073)	Prec@1 23.828 (20.694)	Prec@5 49.219 (46.423)
Epoch: [35][3900/7045]	Time 0.340 (0.250)	Data 0.289 (0.185)	Loss 3.6595 (3.6073)	Prec@1 22.656 (20.697)	Prec@5 47.656 (46.423)
Epoch: [35][3910/7045]	Time 0.376 (0.250)	Data 0.324 (0.185)	Loss 3.5428 (3.6073)	Prec@1 21.484 (20.699)	Prec@5 49.219 (46.424)
Epoch: [35][3920/7045]	Time 0.100 (0.250)	Data 0.047 (0.185)	Loss 3.4519 (3.6072)	Prec@1 23.047 (20.702)	Prec@5 50.391 (46.428)
Epoch: [35][3930/7045]	Time 0.270 (0.250)	Data 0.214 (0.185)	Loss 3.4309 (3.6070)	Prec@1 23.438 (20.705)	Prec@5 51.172 (46.433)
Epoch: [35][3940/7045]	Time 0.541 (0.250)	Data 0.490 (0.185)	Loss 3.7234 (3.6071)	Prec@1 17.188 (20.704)	Prec@5 37.891 (46.429)
Epoch: [35][3950/7045]	Time 0.102 (0.250)	Data 0.001 (0.185)	Loss 3.7371 (3.6071)	Prec@1 23.047 (20.705)	Prec@5 45.312 (46.428)
Epoch: [35][3960/7045]	Time 0.164 (0.250)	Data 0.112 (0.185)	Loss 3.5608 (3.6072)	Prec@1 25.781 (20.706)	Prec@5 44.141 (46.425)
Epoch: [35][3970/7045]	Time 0.101 (0.250)	Data 0.001 (0.185)	Loss 3.7626 (3.6073)	Prec@1 14.062 (20.701)	Prec@5 42.969 (46.421)
Epoch: [35][3980/7045]	Time 0.260 (0.250)	Data 0.209 (0.185)	Loss 3.7718 (3.6073)	Prec@1 17.969 (20.701)	Prec@5 43.359 (46.419)
Epoch: [35][3990/7045]	Time 0.391 (0.250)	Data 0.333 (0.185)	Loss 3.4951 (3.6074)	Prec@1 24.219 (20.701)	Prec@5 48.828 (46.419)
Epoch: [35][4000/7045]	Time 0.237 (0.250)	Data 0.182 (0.185)	Loss 3.5268 (3.6073)	Prec@1 19.922 (20.704)	Prec@5 51.562 (46.423)
Epoch: [35][4010/7045]	Time 0.101 (0.250)	Data 0.010 (0.185)	Loss 3.5199 (3.6071)	Prec@1 24.219 (20.706)	Prec@5 47.266 (46.427)
Epoch: [35][4020/7045]	Time 0.577 (0.250)	Data 0.525 (0.185)	Loss 3.8700 (3.6072)	Prec@1 19.141 (20.705)	Prec@5 38.281 (46.427)
Epoch: [35][4030/7045]	Time 0.101 (0.250)	Data 0.048 (0.185)	Loss 3.6947 (3.6070)	Prec@1 21.484 (20.707)	Prec@5 45.703 (46.433)
Epoch: [35][4040/7045]	Time 0.160 (0.250)	Data 0.109 (0.185)	Loss 3.6863 (3.6070)	Prec@1 22.656 (20.707)	Prec@5 45.703 (46.433)
Epoch: [35][4050/7045]	Time 0.144 (0.250)	Data 0.092 (0.185)	Loss 3.5685 (3.6068)	Prec@1 19.922 (20.708)	Prec@5 47.656 (46.436)
Epoch: [35][4060/7045]	Time 0.259 (0.250)	Data 0.209 (0.185)	Loss 3.5731 (3.6067)	Prec@1 22.266 (20.709)	Prec@5 49.219 (46.441)
Epoch: [35][4070/7045]	Time 0.101 (0.250)	Data 0.005 (0.185)	Loss 3.6185 (3.6066)	Prec@1 19.922 (20.711)	Prec@5 48.438 (46.444)
Epoch: [35][4080/7045]	Time 0.128 (0.250)	Data 0.076 (0.185)	Loss 3.6572 (3.6065)	Prec@1 21.094 (20.712)	Prec@5 44.531 (46.445)
Epoch: [35][4090/7045]	Time 0.102 (0.250)	Data 0.003 (0.185)	Loss 3.6142 (3.6065)	Prec@1 17.578 (20.709)	Prec@5 46.484 (46.446)
Epoch: [35][4100/7045]	Time 0.721 (0.250)	Data 0.669 (0.185)	Loss 3.6379 (3.6067)	Prec@1 20.703 (20.705)	Prec@5 51.172 (46.443)
Epoch: [35][4110/7045]	Time 0.101 (0.250)	Data 0.001 (0.185)	Loss 3.4583 (3.6065)	Prec@1 26.953 (20.708)	Prec@5 50.391 (46.448)
Epoch: [35][4120/7045]	Time 0.188 (0.250)	Data 0.136 (0.185)	Loss 3.5693 (3.6065)	Prec@1 19.531 (20.708)	Prec@5 49.219 (46.452)
Epoch: [35][4130/7045]	Time 0.184 (0.250)	Data 0.132 (0.185)	Loss 3.5637 (3.6063)	Prec@1 21.875 (20.710)	Prec@5 48.438 (46.455)
Epoch: [35][4140/7045]	Time 0.644 (0.250)	Data 0.593 (0.185)	Loss 3.6525 (3.6062)	Prec@1 21.094 (20.710)	Prec@5 48.438 (46.456)
Epoch: [35][4150/7045]	Time 0.102 (0.250)	Data 0.001 (0.185)	Loss 3.5759 (3.6062)	Prec@1 18.750 (20.708)	Prec@5 44.141 (46.456)
Epoch: [35][4160/7045]	Time 0.109 (0.250)	Data 0.001 (0.185)	Loss 3.5604 (3.6062)	Prec@1 22.656 (20.709)	Prec@5 44.922 (46.455)
Epoch: [35][4170/7045]	Time 0.101 (0.250)	Data 0.044 (0.185)	Loss 3.4425 (3.6061)	Prec@1 21.875 (20.707)	Prec@5 47.656 (46.452)
Epoch: [35][4180/7045]	Time 0.177 (0.250)	Data 0.126 (0.185)	Loss 3.5594 (3.6062)	Prec@1 23.438 (20.705)	Prec@5 47.656 (46.447)
Epoch: [35][4190/7045]	Time 0.099 (0.250)	Data 0.047 (0.185)	Loss 3.4908 (3.6063)	Prec@1 22.266 (20.705)	Prec@5 51.953 (46.448)
Epoch: [35][4200/7045]	Time 0.337 (0.250)	Data 0.286 (0.185)	Loss 3.6292 (3.6062)	Prec@1 18.750 (20.708)	Prec@5 43.359 (46.448)
Epoch: [35][4210/7045]	Time 0.655 (0.250)	Data 0.603 (0.185)	Loss 3.6780 (3.6062)	Prec@1 21.484 (20.708)	Prec@5 44.922 (46.448)
Epoch: [35][4220/7045]	Time 0.103 (0.250)	Data 0.008 (0.185)	Loss 3.3668 (3.6063)	Prec@1 23.438 (20.705)	Prec@5 52.344 (46.444)
Epoch: [35][4230/7045]	Time 0.231 (0.250)	Data 0.180 (0.185)	Loss 3.4862 (3.6062)	Prec@1 21.875 (20.707)	Prec@5 51.953 (46.447)
Epoch: [35][4240/7045]	Time 0.101 (0.250)	Data 0.046 (0.185)	Loss 3.5118 (3.6061)	Prec@1 25.781 (20.711)	Prec@5 50.000 (46.446)
Epoch: [35][4250/7045]	Time 0.134 (0.250)	Data 0.083 (0.185)	Loss 3.6722 (3.6062)	Prec@1 21.094 (20.712)	Prec@5 44.531 (46.446)
Epoch: [35][4260/7045]	Time 0.184 (0.250)	Data 0.134 (0.185)	Loss 3.4720 (3.6061)	Prec@1 23.438 (20.714)	Prec@5 51.172 (46.446)
Epoch: [35][4270/7045]	Time 0.102 (0.250)	Data 0.001 (0.185)	Loss 3.5520 (3.6060)	Prec@1 21.094 (20.719)	Prec@5 46.484 (46.449)
Epoch: [35][4280/7045]	Time 0.148 (0.250)	Data 0.097 (0.185)	Loss 3.5105 (3.6060)	Prec@1 24.219 (20.720)	Prec@5 48.438 (46.447)
Epoch: [35][4290/7045]	Time 0.351 (0.250)	Data 0.301 (0.185)	Loss 3.3406 (3.6060)	Prec@1 23.828 (20.721)	Prec@5 52.734 (46.447)
Epoch: [35][4300/7045]	Time 0.107 (0.250)	Data 0.055 (0.185)	Loss 3.6735 (3.6058)	Prec@1 20.312 (20.724)	Prec@5 45.703 (46.449)
Epoch: [35][4310/7045]	Time 0.245 (0.250)	Data 0.195 (0.185)	Loss 3.5700 (3.6056)	Prec@1 15.625 (20.724)	Prec@5 47.266 (46.451)
Epoch: [35][4320/7045]	Time 0.480 (0.250)	Data 0.429 (0.185)	Loss 3.5087 (3.6056)	Prec@1 21.094 (20.726)	Prec@5 52.734 (46.455)
Epoch: [35][4330/7045]	Time 0.103 (0.250)	Data 0.001 (0.185)	Loss 3.6370 (3.6055)	Prec@1 24.609 (20.728)	Prec@5 46.094 (46.454)
Epoch: [35][4340/7045]	Time 0.312 (0.250)	Data 0.260 (0.185)	Loss 3.7535 (3.6054)	Prec@1 17.578 (20.730)	Prec@5 46.094 (46.458)
Epoch: [35][4350/7045]	Time 0.102 (0.250)	Data 0.001 (0.185)	Loss 3.6112 (3.6054)	Prec@1 22.656 (20.731)	Prec@5 42.188 (46.457)
Epoch: [35][4360/7045]	Time 0.158 (0.250)	Data 0.108 (0.185)	Loss 3.5488 (3.6054)	Prec@1 22.266 (20.730)	Prec@5 50.000 (46.459)
Epoch: [35][4370/7045]	Time 0.950 (0.250)	Data 0.899 (0.185)	Loss 3.5586 (3.6054)	Prec@1 19.141 (20.729)	Prec@5 49.609 (46.459)
Epoch: [35][4380/7045]	Time 0.102 (0.250)	Data 0.001 (0.185)	Loss 3.4836 (3.6053)	Prec@1 20.312 (20.729)	Prec@5 46.484 (46.462)
Epoch: [35][4390/7045]	Time 0.107 (0.250)	Data 0.002 (0.185)	Loss 3.4899 (3.6051)	Prec@1 24.609 (20.733)	Prec@5 48.438 (46.468)
Epoch: [35][4400/7045]	Time 0.198 (0.250)	Data 0.147 (0.185)	Loss 3.7382 (3.6051)	Prec@1 18.750 (20.733)	Prec@5 43.359 (46.469)
Epoch: [35][4410/7045]	Time 0.095 (0.250)	Data 0.001 (0.185)	Loss 3.3577 (3.6050)	Prec@1 26.562 (20.736)	Prec@5 49.609 (46.471)
Epoch: [35][4420/7045]	Time 0.639 (0.250)	Data 0.587 (0.185)	Loss 3.5652 (3.6050)	Prec@1 19.922 (20.736)	Prec@5 52.344 (46.471)
Epoch: [35][4430/7045]	Time 0.101 (0.250)	Data 0.001 (0.184)	Loss 3.4341 (3.6050)	Prec@1 22.656 (20.735)	Prec@5 45.703 (46.473)
Epoch: [35][4440/7045]	Time 0.107 (0.250)	Data 0.054 (0.184)	Loss 3.5860 (3.6048)	Prec@1 18.750 (20.736)	Prec@5 50.391 (46.478)
Epoch: [35][4450/7045]	Time 0.101 (0.250)	Data 0.001 (0.184)	Loss 3.5612 (3.6048)	Prec@1 25.000 (20.736)	Prec@5 49.609 (46.478)
Epoch: [35][4460/7045]	Time 0.100 (0.250)	Data 0.002 (0.184)	Loss 3.5122 (3.6048)	Prec@1 23.438 (20.739)	Prec@5 46.875 (46.479)
Epoch: [35][4470/7045]	Time 0.485 (0.250)	Data 0.434 (0.184)	Loss 3.7352 (3.6048)	Prec@1 21.875 (20.742)	Prec@5 46.484 (46.480)
Epoch: [35][4480/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 3.4398 (3.6047)	Prec@1 25.391 (20.745)	Prec@5 47.266 (46.484)
Epoch: [35][4490/7045]	Time 0.112 (0.250)	Data 0.005 (0.184)	Loss 3.3662 (3.6047)	Prec@1 20.312 (20.744)	Prec@5 54.688 (46.484)
Epoch: [35][4500/7045]	Time 0.331 (0.250)	Data 0.280 (0.184)	Loss 3.5756 (3.6048)	Prec@1 21.875 (20.743)	Prec@5 46.875 (46.482)
Epoch: [35][4510/7045]	Time 0.106 (0.250)	Data 0.002 (0.184)	Loss 3.4401 (3.6049)	Prec@1 23.047 (20.743)	Prec@5 52.734 (46.483)
Epoch: [35][4520/7045]	Time 0.550 (0.250)	Data 0.492 (0.184)	Loss 3.4695 (3.6048)	Prec@1 22.266 (20.745)	Prec@5 51.562 (46.486)
Epoch: [35][4530/7045]	Time 0.130 (0.250)	Data 0.078 (0.184)	Loss 3.6687 (3.6047)	Prec@1 22.266 (20.746)	Prec@5 50.781 (46.487)
Epoch: [35][4540/7045]	Time 0.109 (0.250)	Data 0.001 (0.184)	Loss 3.5115 (3.6047)	Prec@1 23.438 (20.745)	Prec@5 47.266 (46.485)
Epoch: [35][4550/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 3.5488 (3.6047)	Prec@1 23.828 (20.746)	Prec@5 46.875 (46.488)
Epoch: [35][4560/7045]	Time 0.223 (0.250)	Data 0.170 (0.184)	Loss 3.5158 (3.6045)	Prec@1 22.266 (20.746)	Prec@5 46.094 (46.490)
Epoch: [35][4570/7045]	Time 0.576 (0.250)	Data 0.525 (0.184)	Loss 3.5734 (3.6045)	Prec@1 22.656 (20.747)	Prec@5 46.875 (46.490)
Epoch: [35][4580/7045]	Time 0.103 (0.250)	Data 0.002 (0.184)	Loss 3.7248 (3.6045)	Prec@1 22.656 (20.748)	Prec@5 45.312 (46.489)
Epoch: [35][4590/7045]	Time 0.108 (0.250)	Data 0.001 (0.184)	Loss 3.6728 (3.6045)	Prec@1 18.359 (20.746)	Prec@5 42.188 (46.489)
Epoch: [35][4600/7045]	Time 0.101 (0.250)	Data 0.001 (0.184)	Loss 3.5771 (3.6046)	Prec@1 21.875 (20.745)	Prec@5 45.703 (46.488)
Epoch: [35][4610/7045]	Time 0.219 (0.250)	Data 0.168 (0.184)	Loss 3.9256 (3.6046)	Prec@1 16.797 (20.743)	Prec@5 39.062 (46.487)
Epoch: [35][4620/7045]	Time 0.406 (0.250)	Data 0.356 (0.184)	Loss 3.8452 (3.6047)	Prec@1 23.438 (20.743)	Prec@5 43.750 (46.484)
Epoch: [35][4630/7045]	Time 0.101 (0.250)	Data 0.001 (0.184)	Loss 3.5705 (3.6046)	Prec@1 18.750 (20.743)	Prec@5 43.750 (46.486)
Epoch: [35][4640/7045]	Time 0.352 (0.250)	Data 0.301 (0.184)	Loss 3.7244 (3.6046)	Prec@1 15.625 (20.744)	Prec@5 43.359 (46.485)
Epoch: [35][4650/7045]	Time 0.445 (0.250)	Data 0.394 (0.184)	Loss 3.4175 (3.6045)	Prec@1 23.828 (20.747)	Prec@5 50.781 (46.489)
Epoch: [35][4660/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 3.6242 (3.6043)	Prec@1 18.359 (20.749)	Prec@5 42.188 (46.493)
Epoch: [35][4670/7045]	Time 0.392 (0.250)	Data 0.339 (0.184)	Loss 3.5049 (3.6043)	Prec@1 24.219 (20.748)	Prec@5 49.219 (46.493)
Epoch: [35][4680/7045]	Time 0.108 (0.250)	Data 0.055 (0.184)	Loss 3.5144 (3.6042)	Prec@1 25.000 (20.750)	Prec@5 51.562 (46.496)
Epoch: [35][4690/7045]	Time 0.168 (0.250)	Data 0.117 (0.184)	Loss 3.6364 (3.6041)	Prec@1 20.312 (20.751)	Prec@5 47.656 (46.501)
Epoch: [35][4700/7045]	Time 0.497 (0.250)	Data 0.447 (0.184)	Loss 3.5856 (3.6039)	Prec@1 20.703 (20.753)	Prec@5 45.703 (46.502)
Epoch: [35][4710/7045]	Time 0.298 (0.250)	Data 0.247 (0.184)	Loss 3.6270 (3.6037)	Prec@1 22.656 (20.756)	Prec@5 42.578 (46.503)
Epoch: [35][4720/7045]	Time 0.147 (0.250)	Data 0.095 (0.184)	Loss 3.3886 (3.6036)	Prec@1 24.219 (20.758)	Prec@5 50.781 (46.505)
Epoch: [35][4730/7045]	Time 0.118 (0.250)	Data 0.067 (0.184)	Loss 3.5527 (3.6035)	Prec@1 24.219 (20.759)	Prec@5 48.828 (46.506)
Epoch: [35][4740/7045]	Time 0.213 (0.250)	Data 0.161 (0.184)	Loss 3.2810 (3.6033)	Prec@1 24.219 (20.763)	Prec@5 52.344 (46.509)
Epoch: [35][4750/7045]	Time 0.649 (0.250)	Data 0.591 (0.184)	Loss 3.6050 (3.6034)	Prec@1 19.922 (20.762)	Prec@5 45.312 (46.508)
Epoch: [35][4760/7045]	Time 0.353 (0.250)	Data 0.301 (0.184)	Loss 3.6531 (3.6034)	Prec@1 21.484 (20.762)	Prec@5 48.047 (46.508)
Epoch: [35][4770/7045]	Time 0.181 (0.250)	Data 0.130 (0.184)	Loss 3.3941 (3.6033)	Prec@1 23.828 (20.766)	Prec@5 52.734 (46.512)
Epoch: [35][4780/7045]	Time 0.101 (0.250)	Data 0.001 (0.184)	Loss 3.5315 (3.6033)	Prec@1 21.094 (20.765)	Prec@5 46.484 (46.512)
Epoch: [35][4790/7045]	Time 0.217 (0.250)	Data 0.167 (0.184)	Loss 3.8185 (3.6033)	Prec@1 16.016 (20.764)	Prec@5 41.797 (46.509)
Epoch: [35][4800/7045]	Time 0.481 (0.250)	Data 0.427 (0.184)	Loss 3.7393 (3.6032)	Prec@1 18.359 (20.767)	Prec@5 42.578 (46.510)
Epoch: [35][4810/7045]	Time 0.402 (0.250)	Data 0.351 (0.184)	Loss 3.6004 (3.6032)	Prec@1 21.484 (20.768)	Prec@5 46.875 (46.511)
Epoch: [35][4820/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 3.5045 (3.6032)	Prec@1 21.094 (20.769)	Prec@5 46.484 (46.512)
Epoch: [35][4830/7045]	Time 0.107 (0.250)	Data 0.054 (0.184)	Loss 3.4908 (3.6031)	Prec@1 23.438 (20.773)	Prec@5 47.656 (46.513)
Epoch: [35][4840/7045]	Time 0.217 (0.250)	Data 0.166 (0.184)	Loss 3.5302 (3.6031)	Prec@1 21.875 (20.773)	Prec@5 47.266 (46.512)
Epoch: [35][4850/7045]	Time 0.582 (0.250)	Data 0.532 (0.184)	Loss 3.5808 (3.6031)	Prec@1 19.922 (20.772)	Prec@5 47.656 (46.512)
Epoch: [35][4860/7045]	Time 0.171 (0.250)	Data 0.119 (0.184)	Loss 3.7138 (3.6031)	Prec@1 20.703 (20.771)	Prec@5 41.016 (46.512)
Epoch: [35][4870/7045]	Time 0.103 (0.250)	Data 0.001 (0.184)	Loss 3.6317 (3.6031)	Prec@1 19.531 (20.772)	Prec@5 44.922 (46.510)
Epoch: [35][4880/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 3.4942 (3.6030)	Prec@1 21.875 (20.776)	Prec@5 45.312 (46.511)
Epoch: [35][4890/7045]	Time 0.222 (0.250)	Data 0.171 (0.184)	Loss 3.7715 (3.6030)	Prec@1 20.312 (20.775)	Prec@5 42.578 (46.511)
Epoch: [35][4900/7045]	Time 0.426 (0.250)	Data 0.375 (0.184)	Loss 3.7452 (3.6031)	Prec@1 15.234 (20.773)	Prec@5 42.969 (46.507)
Epoch: [35][4910/7045]	Time 0.274 (0.250)	Data 0.222 (0.184)	Loss 3.5580 (3.6031)	Prec@1 23.047 (20.774)	Prec@5 49.609 (46.507)
Epoch: [35][4920/7045]	Time 0.482 (0.250)	Data 0.423 (0.184)	Loss 3.6618 (3.6031)	Prec@1 22.656 (20.775)	Prec@5 45.312 (46.508)
Epoch: [35][4930/7045]	Time 0.292 (0.250)	Data 0.242 (0.184)	Loss 3.5525 (3.6031)	Prec@1 19.531 (20.774)	Prec@5 47.266 (46.509)
Epoch: [35][4940/7045]	Time 0.100 (0.250)	Data 0.001 (0.184)	Loss 3.6198 (3.6029)	Prec@1 21.875 (20.778)	Prec@5 44.922 (46.514)
Epoch: [35][4950/7045]	Time 0.250 (0.250)	Data 0.198 (0.184)	Loss 3.5339 (3.6030)	Prec@1 19.922 (20.779)	Prec@5 49.609 (46.514)
Epoch: [35][4960/7045]	Time 0.101 (0.250)	Data 0.001 (0.184)	Loss 3.4591 (3.6028)	Prec@1 22.266 (20.783)	Prec@5 53.125 (46.518)
Epoch: [35][4970/7045]	Time 0.209 (0.250)	Data 0.158 (0.184)	Loss 3.6642 (3.6028)	Prec@1 17.969 (20.782)	Prec@5 47.266 (46.518)
Epoch: [35][4980/7045]	Time 0.446 (0.250)	Data 0.395 (0.184)	Loss 3.4267 (3.6028)	Prec@1 22.266 (20.782)	Prec@5 53.906 (46.520)
Epoch: [35][4990/7045]	Time 0.313 (0.250)	Data 0.262 (0.184)	Loss 3.4316 (3.6028)	Prec@1 22.266 (20.783)	Prec@5 50.391 (46.523)
Epoch: [35][5000/7045]	Time 0.101 (0.250)	Data 0.001 (0.184)	Loss 3.6016 (3.6026)	Prec@1 23.047 (20.783)	Prec@5 46.875 (46.526)
Epoch: [35][5010/7045]	Time 0.101 (0.250)	Data 0.002 (0.184)	Loss 3.7414 (3.6025)	Prec@1 19.922 (20.783)	Prec@5 41.016 (46.528)
Epoch: [35][5020/7045]	Time 0.164 (0.250)	Data 0.113 (0.184)	Loss 3.5456 (3.6024)	Prec@1 24.219 (20.785)	Prec@5 51.562 (46.527)
Epoch: [35][5030/7045]	Time 0.544 (0.250)	Data 0.493 (0.184)	Loss 3.7489 (3.6023)	Prec@1 16.797 (20.786)	Prec@5 42.188 (46.527)
Epoch: [35][5040/7045]	Time 0.197 (0.250)	Data 0.146 (0.184)	Loss 3.8356 (3.6023)	Prec@1 17.969 (20.786)	Prec@5 41.016 (46.527)
Epoch: [35][5050/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 3.7092 (3.6023)	Prec@1 19.531 (20.787)	Prec@5 42.969 (46.527)
Epoch: [35][5060/7045]	Time 0.444 (0.250)	Data 0.392 (0.184)	Loss 3.4421 (3.6023)	Prec@1 25.391 (20.788)	Prec@5 50.391 (46.527)
Epoch: [35][5070/7045]	Time 0.101 (0.250)	Data 0.001 (0.184)	Loss 3.6101 (3.6024)	Prec@1 20.312 (20.788)	Prec@5 49.609 (46.526)
Epoch: [35][5080/7045]	Time 0.390 (0.250)	Data 0.338 (0.184)	Loss 3.4089 (3.6022)	Prec@1 21.875 (20.790)	Prec@5 51.172 (46.529)
Epoch: [35][5090/7045]	Time 0.103 (0.250)	Data 0.001 (0.184)	Loss 3.6543 (3.6022)	Prec@1 21.484 (20.791)	Prec@5 44.141 (46.530)
Epoch: [35][5100/7045]	Time 0.476 (0.250)	Data 0.425 (0.184)	Loss 3.6104 (3.6022)	Prec@1 20.312 (20.791)	Prec@5 48.438 (46.529)
Epoch: [35][5110/7045]	Time 0.524 (0.250)	Data 0.473 (0.184)	Loss 3.4331 (3.6020)	Prec@1 27.734 (20.796)	Prec@5 49.219 (46.531)
Epoch: [35][5120/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 3.7635 (3.6021)	Prec@1 19.531 (20.796)	Prec@5 45.312 (46.531)
Epoch: [35][5130/7045]	Time 0.110 (0.250)	Data 0.001 (0.184)	Loss 3.8358 (3.6021)	Prec@1 20.703 (20.797)	Prec@5 42.188 (46.531)
Epoch: [35][5140/7045]	Time 0.102 (0.250)	Data 0.004 (0.184)	Loss 3.8095 (3.6021)	Prec@1 15.234 (20.796)	Prec@5 46.875 (46.531)
Epoch: [35][5150/7045]	Time 0.102 (0.250)	Data 0.045 (0.184)	Loss 3.6936 (3.6022)	Prec@1 19.141 (20.796)	Prec@5 48.047 (46.529)
Epoch: [35][5160/7045]	Time 0.618 (0.250)	Data 0.567 (0.184)	Loss 3.6590 (3.6022)	Prec@1 20.312 (20.797)	Prec@5 42.578 (46.529)
Epoch: [35][5170/7045]	Time 0.237 (0.250)	Data 0.186 (0.184)	Loss 3.7485 (3.6022)	Prec@1 17.969 (20.796)	Prec@5 44.922 (46.531)
Epoch: [35][5180/7045]	Time 0.110 (0.250)	Data 0.001 (0.184)	Loss 3.5768 (3.6022)	Prec@1 19.531 (20.796)	Prec@5 45.312 (46.529)
Epoch: [35][5190/7045]	Time 0.295 (0.250)	Data 0.243 (0.184)	Loss 3.4243 (3.6022)	Prec@1 24.219 (20.795)	Prec@5 48.047 (46.529)
Epoch: [35][5200/7045]	Time 0.203 (0.250)	Data 0.151 (0.184)	Loss 3.6183 (3.6021)	Prec@1 21.484 (20.797)	Prec@5 45.312 (46.530)
Epoch: [35][5210/7045]	Time 0.360 (0.250)	Data 0.310 (0.184)	Loss 3.7249 (3.6023)	Prec@1 17.969 (20.797)	Prec@5 42.969 (46.528)
Epoch: [35][5220/7045]	Time 0.424 (0.250)	Data 0.365 (0.184)	Loss 3.6069 (3.6021)	Prec@1 21.094 (20.799)	Prec@5 47.266 (46.532)
Epoch: [35][5230/7045]	Time 0.344 (0.250)	Data 0.293 (0.184)	Loss 3.5102 (3.6021)	Prec@1 25.000 (20.799)	Prec@5 50.781 (46.533)
Epoch: [35][5240/7045]	Time 0.110 (0.250)	Data 0.009 (0.184)	Loss 3.6684 (3.6022)	Prec@1 19.531 (20.798)	Prec@5 45.312 (46.531)
Epoch: [35][5250/7045]	Time 0.415 (0.250)	Data 0.365 (0.184)	Loss 3.6562 (3.6023)	Prec@1 18.359 (20.797)	Prec@5 47.656 (46.531)
Epoch: [35][5260/7045]	Time 0.142 (0.250)	Data 0.090 (0.184)	Loss 3.6207 (3.6022)	Prec@1 21.484 (20.799)	Prec@5 48.438 (46.533)
Epoch: [35][5270/7045]	Time 0.235 (0.250)	Data 0.184 (0.184)	Loss 3.4512 (3.6022)	Prec@1 24.609 (20.800)	Prec@5 49.219 (46.532)
Epoch: [35][5280/7045]	Time 0.101 (0.250)	Data 0.048 (0.184)	Loss 3.6629 (3.6024)	Prec@1 17.578 (20.799)	Prec@5 42.969 (46.527)
Epoch: [35][5290/7045]	Time 0.242 (0.250)	Data 0.190 (0.184)	Loss 3.5999 (3.6025)	Prec@1 25.000 (20.800)	Prec@5 46.875 (46.525)
Epoch: [35][5300/7045]	Time 0.101 (0.250)	Data 0.001 (0.184)	Loss 3.5761 (3.6024)	Prec@1 20.703 (20.799)	Prec@5 51.172 (46.527)
Epoch: [35][5310/7045]	Time 0.619 (0.250)	Data 0.568 (0.184)	Loss 3.6058 (3.6023)	Prec@1 19.141 (20.800)	Prec@5 49.219 (46.529)
Epoch: [35][5320/7045]	Time 0.101 (0.250)	Data 0.001 (0.184)	Loss 3.6221 (3.6023)	Prec@1 20.312 (20.799)	Prec@5 44.141 (46.526)
Epoch: [35][5330/7045]	Time 0.173 (0.250)	Data 0.123 (0.184)	Loss 3.5338 (3.6022)	Prec@1 19.922 (20.800)	Prec@5 50.781 (46.527)
Epoch: [35][5340/7045]	Time 0.101 (0.250)	Data 0.005 (0.184)	Loss 3.3900 (3.6021)	Prec@1 23.828 (20.804)	Prec@5 49.609 (46.532)
Epoch: [35][5350/7045]	Time 0.357 (0.250)	Data 0.305 (0.184)	Loss 3.5210 (3.6020)	Prec@1 20.312 (20.805)	Prec@5 48.438 (46.535)
Epoch: [35][5360/7045]	Time 0.332 (0.250)	Data 0.281 (0.184)	Loss 3.7049 (3.6021)	Prec@1 16.797 (20.804)	Prec@5 44.531 (46.533)
Epoch: [35][5370/7045]	Time 0.566 (0.250)	Data 0.516 (0.184)	Loss 3.4166 (3.6019)	Prec@1 23.047 (20.806)	Prec@5 48.828 (46.538)
Epoch: [35][5380/7045]	Time 0.363 (0.250)	Data 0.312 (0.184)	Loss 3.7105 (3.6018)	Prec@1 21.484 (20.808)	Prec@5 45.312 (46.540)
Epoch: [35][5390/7045]	Time 0.300 (0.250)	Data 0.248 (0.184)	Loss 3.6884 (3.6018)	Prec@1 24.219 (20.811)	Prec@5 43.750 (46.540)
Epoch: [35][5400/7045]	Time 0.114 (0.250)	Data 0.062 (0.184)	Loss 3.6377 (3.6017)	Prec@1 21.875 (20.815)	Prec@5 45.703 (46.544)
Epoch: [35][5410/7045]	Time 0.254 (0.250)	Data 0.203 (0.184)	Loss 3.6973 (3.6016)	Prec@1 21.875 (20.816)	Prec@5 44.531 (46.544)
Epoch: [35][5420/7045]	Time 0.466 (0.250)	Data 0.409 (0.184)	Loss 3.4448 (3.6014)	Prec@1 21.484 (20.819)	Prec@5 49.219 (46.547)
Epoch: [35][5430/7045]	Time 0.108 (0.250)	Data 0.001 (0.184)	Loss 3.3695 (3.6012)	Prec@1 23.047 (20.822)	Prec@5 48.828 (46.550)
Epoch: [35][5440/7045]	Time 0.214 (0.250)	Data 0.162 (0.184)	Loss 3.4871 (3.6011)	Prec@1 22.266 (20.823)	Prec@5 51.172 (46.551)
Epoch: [35][5450/7045]	Time 0.405 (0.250)	Data 0.354 (0.184)	Loss 3.4647 (3.6009)	Prec@1 25.391 (20.827)	Prec@5 49.219 (46.557)
Epoch: [35][5460/7045]	Time 0.194 (0.250)	Data 0.142 (0.184)	Loss 3.5185 (3.6008)	Prec@1 22.656 (20.829)	Prec@5 46.484 (46.558)
Epoch: [35][5470/7045]	Time 0.168 (0.250)	Data 0.109 (0.184)	Loss 3.4530 (3.6007)	Prec@1 25.391 (20.834)	Prec@5 50.000 (46.560)
Epoch: [35][5480/7045]	Time 0.192 (0.250)	Data 0.141 (0.184)	Loss 3.7005 (3.6008)	Prec@1 17.969 (20.835)	Prec@5 45.312 (46.560)
Epoch: [35][5490/7045]	Time 0.171 (0.250)	Data 0.120 (0.184)	Loss 3.5817 (3.6006)	Prec@1 21.484 (20.837)	Prec@5 46.875 (46.565)
Epoch: [35][5500/7045]	Time 0.443 (0.250)	Data 0.394 (0.184)	Loss 3.6314 (3.6006)	Prec@1 21.484 (20.839)	Prec@5 44.141 (46.564)
Epoch: [35][5510/7045]	Time 0.205 (0.250)	Data 0.155 (0.184)	Loss 3.7818 (3.6004)	Prec@1 19.141 (20.840)	Prec@5 40.234 (46.567)
Epoch: [35][5520/7045]	Time 0.181 (0.250)	Data 0.130 (0.184)	Loss 3.6254 (3.6004)	Prec@1 21.094 (20.840)	Prec@5 45.312 (46.568)
Epoch: [35][5530/7045]	Time 0.242 (0.250)	Data 0.190 (0.184)	Loss 3.6991 (3.6004)	Prec@1 22.656 (20.840)	Prec@5 45.312 (46.568)
Epoch: [35][5540/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 3.5376 (3.6004)	Prec@1 19.922 (20.839)	Prec@5 49.609 (46.569)
Epoch: [35][5550/7045]	Time 0.191 (0.250)	Data 0.134 (0.184)	Loss 3.8451 (3.6005)	Prec@1 13.672 (20.837)	Prec@5 41.016 (46.565)
Epoch: [35][5560/7045]	Time 0.602 (0.250)	Data 0.545 (0.184)	Loss 3.5321 (3.6004)	Prec@1 21.484 (20.838)	Prec@5 48.047 (46.567)
Epoch: [35][5570/7045]	Time 0.102 (0.250)	Data 0.005 (0.184)	Loss 3.5562 (3.6004)	Prec@1 24.219 (20.838)	Prec@5 50.781 (46.570)
Epoch: [35][5580/7045]	Time 0.238 (0.250)	Data 0.179 (0.184)	Loss 3.7913 (3.6003)	Prec@1 17.578 (20.839)	Prec@5 43.359 (46.571)
Epoch: [35][5590/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 3.5939 (3.6002)	Prec@1 21.094 (20.841)	Prec@5 48.438 (46.575)
Epoch: [35][5600/7045]	Time 0.101 (0.250)	Data 0.008 (0.184)	Loss 3.7829 (3.6003)	Prec@1 18.359 (20.838)	Prec@5 42.969 (46.572)
Epoch: [35][5610/7045]	Time 0.559 (0.250)	Data 0.501 (0.184)	Loss 3.6194 (3.6002)	Prec@1 21.875 (20.839)	Prec@5 49.219 (46.574)
Epoch: [35][5620/7045]	Time 0.394 (0.250)	Data 0.342 (0.184)	Loss 3.4171 (3.6002)	Prec@1 21.875 (20.842)	Prec@5 51.172 (46.575)
Epoch: [35][5630/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 3.7132 (3.6001)	Prec@1 18.750 (20.844)	Prec@5 43.750 (46.579)
Epoch: [35][5640/7045]	Time 0.634 (0.250)	Data 0.582 (0.184)	Loss 3.6902 (3.6000)	Prec@1 16.406 (20.844)	Prec@5 43.750 (46.580)
Epoch: [35][5650/7045]	Time 0.101 (0.250)	Data 0.001 (0.184)	Loss 3.6583 (3.6000)	Prec@1 21.094 (20.846)	Prec@5 42.188 (46.582)
Epoch: [35][5660/7045]	Time 0.136 (0.250)	Data 0.079 (0.184)	Loss 3.6593 (3.6000)	Prec@1 18.359 (20.845)	Prec@5 45.312 (46.582)
Epoch: [35][5670/7045]	Time 0.276 (0.250)	Data 0.225 (0.184)	Loss 3.4889 (3.5999)	Prec@1 20.312 (20.846)	Prec@5 45.312 (46.582)
Epoch: [35][5680/7045]	Time 0.101 (0.250)	Data 0.001 (0.184)	Loss 3.4972 (3.5999)	Prec@1 19.922 (20.844)	Prec@5 49.219 (46.583)
Epoch: [35][5690/7045]	Time 0.250 (0.250)	Data 0.199 (0.184)	Loss 3.5807 (3.5999)	Prec@1 22.266 (20.845)	Prec@5 48.438 (46.583)
Epoch: [35][5700/7045]	Time 0.425 (0.250)	Data 0.374 (0.184)	Loss 3.6103 (3.6000)	Prec@1 25.781 (20.844)	Prec@5 46.094 (46.581)
Epoch: [35][5710/7045]	Time 0.126 (0.250)	Data 0.074 (0.184)	Loss 3.4059 (3.5999)	Prec@1 22.266 (20.847)	Prec@5 50.781 (46.585)
Epoch: [35][5720/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 3.5293 (3.5997)	Prec@1 21.875 (20.849)	Prec@5 50.781 (46.589)
Epoch: [35][5730/7045]	Time 0.113 (0.250)	Data 0.061 (0.184)	Loss 3.7716 (3.5997)	Prec@1 22.266 (20.849)	Prec@5 41.016 (46.589)
Epoch: [35][5740/7045]	Time 0.127 (0.250)	Data 0.069 (0.184)	Loss 3.3997 (3.5997)	Prec@1 20.312 (20.849)	Prec@5 52.734 (46.589)
Epoch: [35][5750/7045]	Time 0.448 (0.250)	Data 0.397 (0.184)	Loss 3.5862 (3.5997)	Prec@1 21.875 (20.851)	Prec@5 47.656 (46.590)
Epoch: [35][5760/7045]	Time 0.283 (0.250)	Data 0.232 (0.184)	Loss 3.5352 (3.5996)	Prec@1 23.047 (20.852)	Prec@5 48.047 (46.593)
Epoch: [35][5770/7045]	Time 0.229 (0.250)	Data 0.178 (0.184)	Loss 3.5883 (3.5995)	Prec@1 17.969 (20.852)	Prec@5 47.656 (46.596)
Epoch: [35][5780/7045]	Time 0.101 (0.250)	Data 0.002 (0.184)	Loss 3.4560 (3.5996)	Prec@1 21.875 (20.849)	Prec@5 51.953 (46.593)
Epoch: [35][5790/7045]	Time 0.161 (0.250)	Data 0.110 (0.184)	Loss 3.6051 (3.5997)	Prec@1 23.438 (20.848)	Prec@5 44.922 (46.590)
Epoch: [35][5800/7045]	Time 0.407 (0.250)	Data 0.356 (0.184)	Loss 3.3561 (3.5997)	Prec@1 24.609 (20.847)	Prec@5 51.562 (46.591)
Epoch: [35][5810/7045]	Time 0.243 (0.250)	Data 0.192 (0.184)	Loss 3.4781 (3.5997)	Prec@1 20.703 (20.845)	Prec@5 48.438 (46.594)
Epoch: [35][5820/7045]	Time 0.484 (0.250)	Data 0.432 (0.184)	Loss 3.5593 (3.5997)	Prec@1 19.922 (20.846)	Prec@5 44.141 (46.595)
Epoch: [35][5830/7045]	Time 0.099 (0.250)	Data 0.001 (0.184)	Loss 3.4978 (3.5996)	Prec@1 19.531 (20.845)	Prec@5 48.047 (46.593)
Epoch: [35][5840/7045]	Time 0.401 (0.250)	Data 0.351 (0.184)	Loss 3.5979 (3.5997)	Prec@1 18.750 (20.844)	Prec@5 48.828 (46.594)
Epoch: [35][5850/7045]	Time 0.474 (0.250)	Data 0.423 (0.184)	Loss 3.6543 (3.5996)	Prec@1 18.750 (20.845)	Prec@5 42.188 (46.594)
Epoch: [35][5860/7045]	Time 0.100 (0.250)	Data 0.001 (0.184)	Loss 3.5646 (3.5995)	Prec@1 25.391 (20.847)	Prec@5 47.656 (46.596)
Epoch: [35][5870/7045]	Time 0.424 (0.250)	Data 0.372 (0.184)	Loss 3.4866 (3.5995)	Prec@1 17.188 (20.848)	Prec@5 45.703 (46.596)
Epoch: [35][5880/7045]	Time 0.225 (0.250)	Data 0.173 (0.184)	Loss 3.7246 (3.5994)	Prec@1 19.141 (20.849)	Prec@5 44.141 (46.596)
Epoch: [35][5890/7045]	Time 0.462 (0.250)	Data 0.411 (0.184)	Loss 3.4518 (3.5994)	Prec@1 25.000 (20.851)	Prec@5 51.953 (46.598)
Epoch: [35][5900/7045]	Time 0.219 (0.250)	Data 0.168 (0.184)	Loss 3.7892 (3.5993)	Prec@1 17.188 (20.851)	Prec@5 42.578 (46.598)
Epoch: [35][5910/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 3.4703 (3.5992)	Prec@1 26.562 (20.853)	Prec@5 51.953 (46.600)
Epoch: [35][5920/7045]	Time 0.217 (0.250)	Data 0.167 (0.184)	Loss 3.4562 (3.5989)	Prec@1 19.141 (20.855)	Prec@5 50.000 (46.605)
Epoch: [35][5930/7045]	Time 0.515 (0.250)	Data 0.458 (0.184)	Loss 3.4402 (3.5988)	Prec@1 23.828 (20.859)	Prec@5 49.609 (46.607)
Epoch: [35][5940/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 3.4415 (3.5987)	Prec@1 20.703 (20.860)	Prec@5 50.000 (46.608)
Epoch: [35][5950/7045]	Time 0.109 (0.250)	Data 0.001 (0.184)	Loss 3.5892 (3.5986)	Prec@1 21.484 (20.861)	Prec@5 48.438 (46.611)
Epoch: [35][5960/7045]	Time 0.101 (0.250)	Data 0.007 (0.184)	Loss 3.4498 (3.5985)	Prec@1 23.828 (20.864)	Prec@5 51.953 (46.615)
Epoch: [35][5970/7045]	Time 0.101 (0.250)	Data 0.004 (0.184)	Loss 3.4684 (3.5984)	Prec@1 21.484 (20.863)	Prec@5 46.875 (46.615)
Epoch: [35][5980/7045]	Time 0.485 (0.250)	Data 0.434 (0.184)	Loss 3.3594 (3.5983)	Prec@1 23.438 (20.866)	Prec@5 52.344 (46.620)
Epoch: [35][5990/7045]	Time 0.483 (0.250)	Data 0.427 (0.184)	Loss 3.3773 (3.5982)	Prec@1 22.266 (20.867)	Prec@5 48.438 (46.620)
Epoch: [35][6000/7045]	Time 0.101 (0.250)	Data 0.001 (0.184)	Loss 3.4905 (3.5980)	Prec@1 23.828 (20.871)	Prec@5 44.922 (46.624)
Epoch: [35][6010/7045]	Time 0.396 (0.250)	Data 0.345 (0.184)	Loss 3.5811 (3.5980)	Prec@1 27.734 (20.871)	Prec@5 50.391 (46.623)
Epoch: [35][6020/7045]	Time 0.101 (0.250)	Data 0.001 (0.184)	Loss 3.6312 (3.5980)	Prec@1 21.094 (20.873)	Prec@5 42.969 (46.624)
Epoch: [35][6030/7045]	Time 0.144 (0.250)	Data 0.091 (0.184)	Loss 3.5455 (3.5977)	Prec@1 22.656 (20.877)	Prec@5 51.562 (46.631)
Epoch: [35][6040/7045]	Time 0.918 (0.250)	Data 0.867 (0.184)	Loss 3.4550 (3.5977)	Prec@1 23.438 (20.875)	Prec@5 45.703 (46.631)
Epoch: [35][6050/7045]	Time 0.189 (0.250)	Data 0.139 (0.184)	Loss 3.6631 (3.5977)	Prec@1 19.922 (20.875)	Prec@5 44.141 (46.631)
Epoch: [35][6060/7045]	Time 0.101 (0.250)	Data 0.001 (0.184)	Loss 3.5361 (3.5976)	Prec@1 18.750 (20.874)	Prec@5 48.438 (46.632)
Epoch: [35][6070/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 3.7209 (3.5975)	Prec@1 16.406 (20.874)	Prec@5 41.016 (46.633)
Epoch: [35][6080/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 3.5948 (3.5974)	Prec@1 23.438 (20.876)	Prec@5 46.094 (46.636)
Epoch: [35][6090/7045]	Time 0.148 (0.250)	Data 0.097 (0.184)	Loss 3.5157 (3.5972)	Prec@1 22.266 (20.878)	Prec@5 50.781 (46.640)
Epoch: [35][6100/7045]	Time 0.773 (0.250)	Data 0.723 (0.184)	Loss 3.5071 (3.5973)	Prec@1 23.828 (20.878)	Prec@5 46.484 (46.640)
Epoch: [35][6110/7045]	Time 0.160 (0.250)	Data 0.109 (0.184)	Loss 3.7567 (3.5973)	Prec@1 16.406 (20.877)	Prec@5 43.359 (46.641)
Epoch: [35][6120/7045]	Time 0.101 (0.250)	Data 0.001 (0.184)	Loss 3.6158 (3.5973)	Prec@1 18.750 (20.877)	Prec@5 49.219 (46.643)
Epoch: [35][6130/7045]	Time 0.264 (0.250)	Data 0.213 (0.184)	Loss 3.4398 (3.5972)	Prec@1 22.266 (20.876)	Prec@5 53.125 (46.645)
Epoch: [35][6140/7045]	Time 0.096 (0.250)	Data 0.001 (0.184)	Loss 3.6226 (3.5972)	Prec@1 20.703 (20.876)	Prec@5 43.750 (46.645)
Epoch: [35][6150/7045]	Time 0.101 (0.250)	Data 0.048 (0.184)	Loss 3.6076 (3.5972)	Prec@1 21.094 (20.876)	Prec@5 47.656 (46.646)
Epoch: [35][6160/7045]	Time 0.250 (0.250)	Data 0.200 (0.184)	Loss 3.6235 (3.5971)	Prec@1 22.266 (20.877)	Prec@5 47.656 (46.645)
Epoch: [35][6170/7045]	Time 0.327 (0.250)	Data 0.276 (0.184)	Loss 3.3258 (3.5970)	Prec@1 21.094 (20.878)	Prec@5 54.688 (46.648)
Epoch: [35][6180/7045]	Time 0.286 (0.250)	Data 0.235 (0.184)	Loss 3.7111 (3.5970)	Prec@1 19.531 (20.878)	Prec@5 44.141 (46.648)
Epoch: [35][6190/7045]	Time 0.541 (0.250)	Data 0.489 (0.184)	Loss 3.5152 (3.5969)	Prec@1 23.828 (20.878)	Prec@5 46.875 (46.648)
Epoch: [35][6200/7045]	Time 0.101 (0.250)	Data 0.005 (0.184)	Loss 3.5695 (3.5968)	Prec@1 22.656 (20.878)	Prec@5 46.484 (46.648)
Epoch: [35][6210/7045]	Time 0.278 (0.250)	Data 0.226 (0.184)	Loss 3.6139 (3.5968)	Prec@1 21.094 (20.878)	Prec@5 48.828 (46.650)
Epoch: [35][6220/7045]	Time 0.372 (0.250)	Data 0.322 (0.184)	Loss 3.6941 (3.5967)	Prec@1 19.531 (20.878)	Prec@5 43.750 (46.652)
Epoch: [35][6230/7045]	Time 0.099 (0.250)	Data 0.001 (0.184)	Loss 3.5888 (3.5967)	Prec@1 21.484 (20.878)	Prec@5 47.656 (46.653)
Epoch: [35][6240/7045]	Time 0.708 (0.250)	Data 0.657 (0.184)	Loss 3.6820 (3.5966)	Prec@1 20.703 (20.878)	Prec@5 46.094 (46.655)
Epoch: [35][6250/7045]	Time 0.104 (0.250)	Data 0.052 (0.184)	Loss 3.6323 (3.5965)	Prec@1 20.312 (20.881)	Prec@5 50.781 (46.659)
Epoch: [35][6260/7045]	Time 0.502 (0.250)	Data 0.451 (0.184)	Loss 3.5672 (3.5964)	Prec@1 20.703 (20.882)	Prec@5 46.094 (46.662)
Epoch: [35][6270/7045]	Time 0.533 (0.250)	Data 0.483 (0.184)	Loss 3.6901 (3.5964)	Prec@1 20.312 (20.881)	Prec@5 46.484 (46.663)
Epoch: [35][6280/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 3.4950 (3.5963)	Prec@1 20.312 (20.882)	Prec@5 49.609 (46.664)
Epoch: [35][6290/7045]	Time 0.108 (0.250)	Data 0.001 (0.184)	Loss 3.5568 (3.5961)	Prec@1 23.047 (20.885)	Prec@5 50.781 (46.668)
Epoch: [35][6300/7045]	Time 0.110 (0.250)	Data 0.001 (0.184)	Loss 3.6498 (3.5960)	Prec@1 19.922 (20.887)	Prec@5 44.922 (46.671)
Epoch: [35][6310/7045]	Time 0.183 (0.250)	Data 0.131 (0.184)	Loss 3.4672 (3.5960)	Prec@1 19.141 (20.886)	Prec@5 50.391 (46.671)
Epoch: [35][6320/7045]	Time 0.224 (0.250)	Data 0.173 (0.184)	Loss 3.3977 (3.5959)	Prec@1 25.000 (20.888)	Prec@5 50.781 (46.672)
Epoch: [35][6330/7045]	Time 0.101 (0.250)	Data 0.004 (0.184)	Loss 3.6353 (3.5959)	Prec@1 16.797 (20.889)	Prec@5 45.312 (46.671)
Epoch: [35][6340/7045]	Time 0.422 (0.250)	Data 0.371 (0.184)	Loss 3.6441 (3.5958)	Prec@1 17.969 (20.889)	Prec@5 43.750 (46.675)
Epoch: [35][6350/7045]	Time 0.427 (0.250)	Data 0.376 (0.184)	Loss 3.6412 (3.5958)	Prec@1 19.922 (20.888)	Prec@5 45.703 (46.674)
Epoch: [35][6360/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 3.5445 (3.5958)	Prec@1 20.312 (20.887)	Prec@5 45.312 (46.674)
Epoch: [35][6370/7045]	Time 0.227 (0.250)	Data 0.174 (0.184)	Loss 3.4893 (3.5957)	Prec@1 20.703 (20.888)	Prec@5 51.953 (46.674)
Epoch: [35][6380/7045]	Time 0.101 (0.250)	Data 0.001 (0.184)	Loss 3.4176 (3.5958)	Prec@1 23.047 (20.887)	Prec@5 51.172 (46.675)
Epoch: [35][6390/7045]	Time 0.335 (0.250)	Data 0.285 (0.184)	Loss 3.5396 (3.5957)	Prec@1 21.484 (20.890)	Prec@5 48.438 (46.677)
Epoch: [35][6400/7045]	Time 0.425 (0.250)	Data 0.374 (0.184)	Loss 3.6181 (3.5957)	Prec@1 19.141 (20.890)	Prec@5 43.750 (46.674)
Epoch: [35][6410/7045]	Time 0.176 (0.250)	Data 0.126 (0.184)	Loss 3.4653 (3.5955)	Prec@1 21.875 (20.892)	Prec@5 48.828 (46.678)
Epoch: [35][6420/7045]	Time 0.297 (0.250)	Data 0.244 (0.184)	Loss 3.7742 (3.5953)	Prec@1 18.359 (20.895)	Prec@5 42.188 (46.682)
Epoch: [35][6430/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 3.3701 (3.5952)	Prec@1 25.000 (20.898)	Prec@5 49.219 (46.685)
Epoch: [35][6440/7045]	Time 0.177 (0.250)	Data 0.124 (0.184)	Loss 3.6067 (3.5951)	Prec@1 17.188 (20.898)	Prec@5 44.922 (46.685)
Epoch: [35][6450/7045]	Time 0.188 (0.250)	Data 0.136 (0.184)	Loss 3.4073 (3.5951)	Prec@1 23.047 (20.899)	Prec@5 48.828 (46.687)
Epoch: [35][6460/7045]	Time 0.713 (0.250)	Data 0.662 (0.184)	Loss 3.4297 (3.5950)	Prec@1 24.219 (20.899)	Prec@5 47.656 (46.686)
Epoch: [35][6470/7045]	Time 0.171 (0.250)	Data 0.112 (0.184)	Loss 3.6097 (3.5949)	Prec@1 21.875 (20.901)	Prec@5 46.484 (46.688)
Epoch: [35][6480/7045]	Time 0.237 (0.250)	Data 0.181 (0.184)	Loss 3.6472 (3.5949)	Prec@1 17.578 (20.901)	Prec@5 49.609 (46.689)
Epoch: [35][6490/7045]	Time 0.173 (0.250)	Data 0.121 (0.184)	Loss 3.5269 (3.5948)	Prec@1 20.703 (20.903)	Prec@5 48.828 (46.694)
Epoch: [35][6500/7045]	Time 0.100 (0.250)	Data 0.049 (0.184)	Loss 3.6988 (3.5946)	Prec@1 19.922 (20.906)	Prec@5 46.094 (46.697)
Epoch: [35][6510/7045]	Time 0.528 (0.250)	Data 0.476 (0.184)	Loss 3.4594 (3.5945)	Prec@1 21.094 (20.908)	Prec@5 50.000 (46.702)
Epoch: [35][6520/7045]	Time 0.523 (0.250)	Data 0.472 (0.184)	Loss 3.5960 (3.5943)	Prec@1 19.141 (20.909)	Prec@5 45.703 (46.705)
Epoch: [35][6530/7045]	Time 0.100 (0.250)	Data 0.001 (0.184)	Loss 3.3930 (3.5943)	Prec@1 22.266 (20.909)	Prec@5 51.562 (46.706)
Epoch: [35][6540/7045]	Time 0.101 (0.250)	Data 0.001 (0.184)	Loss 3.6052 (3.5943)	Prec@1 21.875 (20.911)	Prec@5 44.531 (46.706)
Epoch: [35][6550/7045]	Time 0.103 (0.250)	Data 0.001 (0.184)	Loss 3.7246 (3.5943)	Prec@1 18.359 (20.911)	Prec@5 41.406 (46.704)
Epoch: [35][6560/7045]	Time 0.130 (0.250)	Data 0.078 (0.184)	Loss 3.6929 (3.5943)	Prec@1 19.922 (20.912)	Prec@5 46.094 (46.706)
Epoch: [35][6570/7045]	Time 0.234 (0.250)	Data 0.184 (0.184)	Loss 3.5407 (3.5943)	Prec@1 16.016 (20.910)	Prec@5 46.875 (46.707)
Epoch: [35][6580/7045]	Time 0.102 (0.250)	Data 0.005 (0.184)	Loss 3.5301 (3.5943)	Prec@1 19.922 (20.910)	Prec@5 48.438 (46.707)
Epoch: [35][6590/7045]	Time 0.406 (0.250)	Data 0.355 (0.184)	Loss 3.4999 (3.5943)	Prec@1 22.656 (20.911)	Prec@5 49.219 (46.707)
Epoch: [35][6600/7045]	Time 0.419 (0.250)	Data 0.368 (0.184)	Loss 3.6294 (3.5943)	Prec@1 17.188 (20.912)	Prec@5 47.266 (46.707)
Epoch: [35][6610/7045]	Time 0.101 (0.250)	Data 0.006 (0.184)	Loss 3.5173 (3.5942)	Prec@1 21.094 (20.912)	Prec@5 45.703 (46.707)
Epoch: [35][6620/7045]	Time 0.469 (0.250)	Data 0.418 (0.184)	Loss 3.5134 (3.5941)	Prec@1 21.484 (20.914)	Prec@5 48.047 (46.708)
Epoch: [35][6630/7045]	Time 0.190 (0.250)	Data 0.139 (0.184)	Loss 3.3749 (3.5940)	Prec@1 27.734 (20.917)	Prec@5 55.469 (46.713)
Epoch: [35][6640/7045]	Time 0.438 (0.250)	Data 0.387 (0.184)	Loss 3.6036 (3.5938)	Prec@1 22.656 (20.921)	Prec@5 45.312 (46.717)
Epoch: [35][6650/7045]	Time 0.102 (0.250)	Data 0.014 (0.184)	Loss 3.5678 (3.5938)	Prec@1 22.266 (20.922)	Prec@5 46.484 (46.717)
Epoch: [35][6660/7045]	Time 0.578 (0.250)	Data 0.528 (0.184)	Loss 3.4436 (3.5938)	Prec@1 20.312 (20.922)	Prec@5 48.438 (46.717)
Epoch: [35][6670/7045]	Time 0.446 (0.250)	Data 0.396 (0.184)	Loss 3.4750 (3.5937)	Prec@1 21.094 (20.924)	Prec@5 48.438 (46.720)
Epoch: [35][6680/7045]	Time 0.100 (0.250)	Data 0.001 (0.184)	Loss 3.8642 (3.5936)	Prec@1 18.359 (20.924)	Prec@5 41.797 (46.721)
Epoch: [35][6690/7045]	Time 0.101 (0.250)	Data 0.001 (0.184)	Loss 3.5099 (3.5935)	Prec@1 21.875 (20.925)	Prec@5 49.219 (46.725)
Epoch: [35][6700/7045]	Time 0.101 (0.250)	Data 0.049 (0.184)	Loss 3.5928 (3.5936)	Prec@1 20.312 (20.926)	Prec@5 46.875 (46.722)
Epoch: [35][6710/7045]	Time 0.486 (0.250)	Data 0.436 (0.184)	Loss 3.5701 (3.5936)	Prec@1 24.219 (20.926)	Prec@5 47.656 (46.722)
Epoch: [35][6720/7045]	Time 0.241 (0.250)	Data 0.190 (0.184)	Loss 3.6003 (3.5935)	Prec@1 22.266 (20.928)	Prec@5 48.047 (46.723)
Epoch: [35][6730/7045]	Time 0.392 (0.250)	Data 0.336 (0.184)	Loss 3.5561 (3.5934)	Prec@1 21.484 (20.930)	Prec@5 47.266 (46.725)
Epoch: [35][6740/7045]	Time 0.389 (0.250)	Data 0.330 (0.184)	Loss 3.5869 (3.5933)	Prec@1 17.578 (20.930)	Prec@5 44.141 (46.725)
Epoch: [35][6750/7045]	Time 0.101 (0.250)	Data 0.001 (0.184)	Loss 3.5196 (3.5933)	Prec@1 21.875 (20.930)	Prec@5 46.094 (46.726)
Epoch: [35][6760/7045]	Time 0.101 (0.250)	Data 0.003 (0.184)	Loss 3.5124 (3.5932)	Prec@1 21.484 (20.931)	Prec@5 48.438 (46.727)
Epoch: [35][6770/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 3.7231 (3.5932)	Prec@1 20.703 (20.932)	Prec@5 44.141 (46.727)
Epoch: [35][6780/7045]	Time 0.139 (0.250)	Data 0.087 (0.184)	Loss 3.5892 (3.5932)	Prec@1 22.266 (20.933)	Prec@5 45.703 (46.727)
Epoch: [35][6790/7045]	Time 0.345 (0.250)	Data 0.295 (0.184)	Loss 3.4921 (3.5931)	Prec@1 25.000 (20.934)	Prec@5 50.000 (46.728)
Epoch: [35][6800/7045]	Time 0.236 (0.250)	Data 0.185 (0.184)	Loss 3.5887 (3.5932)	Prec@1 22.266 (20.933)	Prec@5 44.141 (46.728)
Epoch: [35][6810/7045]	Time 0.119 (0.250)	Data 0.068 (0.184)	Loss 3.5522 (3.5932)	Prec@1 22.266 (20.932)	Prec@5 50.391 (46.728)
Epoch: [35][6820/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 3.5985 (3.5932)	Prec@1 20.703 (20.932)	Prec@5 42.188 (46.729)
Epoch: [35][6830/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 3.5658 (3.5931)	Prec@1 18.359 (20.933)	Prec@5 45.312 (46.729)
Epoch: [35][6840/7045]	Time 0.241 (0.250)	Data 0.191 (0.184)	Loss 3.5675 (3.5931)	Prec@1 22.656 (20.933)	Prec@5 46.484 (46.730)
Epoch: [35][6850/7045]	Time 0.332 (0.250)	Data 0.282 (0.184)	Loss 3.4340 (3.5930)	Prec@1 22.656 (20.934)	Prec@5 54.297 (46.732)
Epoch: [35][6860/7045]	Time 0.321 (0.250)	Data 0.271 (0.184)	Loss 3.5367 (3.5929)	Prec@1 25.781 (20.934)	Prec@5 51.172 (46.733)
Epoch: [35][6870/7045]	Time 0.439 (0.250)	Data 0.388 (0.184)	Loss 3.3318 (3.5928)	Prec@1 26.953 (20.934)	Prec@5 52.734 (46.735)
Epoch: [35][6880/7045]	Time 0.101 (0.250)	Data 0.001 (0.184)	Loss 3.6543 (3.5928)	Prec@1 22.266 (20.935)	Prec@5 44.141 (46.733)
Epoch: [35][6890/7045]	Time 0.109 (0.250)	Data 0.001 (0.184)	Loss 3.5737 (3.5928)	Prec@1 21.875 (20.935)	Prec@5 48.047 (46.732)
Epoch: [35][6900/7045]	Time 0.101 (0.250)	Data 0.002 (0.184)	Loss 3.6163 (3.5928)	Prec@1 20.312 (20.936)	Prec@5 45.703 (46.732)
Epoch: [35][6910/7045]	Time 0.101 (0.250)	Data 0.001 (0.184)	Loss 3.6539 (3.5927)	Prec@1 22.266 (20.937)	Prec@5 46.094 (46.731)
Epoch: [35][6920/7045]	Time 0.241 (0.250)	Data 0.190 (0.184)	Loss 3.4590 (3.5926)	Prec@1 21.875 (20.937)	Prec@5 46.875 (46.733)
Epoch: [35][6930/7045]	Time 0.440 (0.250)	Data 0.389 (0.184)	Loss 3.7578 (3.5927)	Prec@1 17.969 (20.938)	Prec@5 46.484 (46.732)
Epoch: [35][6940/7045]	Time 0.290 (0.250)	Data 0.239 (0.184)	Loss 3.4436 (3.5928)	Prec@1 22.266 (20.936)	Prec@5 52.344 (46.729)
Epoch: [35][6950/7045]	Time 0.260 (0.250)	Data 0.208 (0.184)	Loss 3.6631 (3.5927)	Prec@1 21.875 (20.938)	Prec@5 46.094 (46.730)
Epoch: [35][6960/7045]	Time 0.495 (0.250)	Data 0.444 (0.184)	Loss 3.4397 (3.5927)	Prec@1 22.656 (20.939)	Prec@5 51.172 (46.732)
Epoch: [35][6970/7045]	Time 0.399 (0.250)	Data 0.348 (0.184)	Loss 3.5047 (3.5926)	Prec@1 21.875 (20.939)	Prec@5 48.438 (46.733)
Epoch: [35][6980/7045]	Time 0.098 (0.250)	Data 0.001 (0.184)	Loss 3.7210 (3.5925)	Prec@1 21.875 (20.942)	Prec@5 43.359 (46.734)
Epoch: [35][6990/7045]	Time 0.101 (0.250)	Data 0.006 (0.184)	Loss 3.5468 (3.5925)	Prec@1 24.609 (20.943)	Prec@5 46.094 (46.736)
Epoch: [35][7000/7045]	Time 0.101 (0.250)	Data 0.001 (0.184)	Loss 3.6610 (3.5924)	Prec@1 16.406 (20.945)	Prec@5 44.531 (46.738)
Epoch: [35][7010/7045]	Time 0.306 (0.250)	Data 0.255 (0.184)	Loss 3.2658 (3.5924)	Prec@1 27.344 (20.946)	Prec@5 55.469 (46.739)
Epoch: [35][7020/7045]	Time 0.386 (0.250)	Data 0.335 (0.184)	Loss 3.5515 (3.5924)	Prec@1 20.312 (20.947)	Prec@5 47.266 (46.741)
Epoch: [35][7030/7045]	Time 0.184 (0.250)	Data 0.133 (0.184)	Loss 3.6340 (3.5924)	Prec@1 23.047 (20.949)	Prec@5 45.703 (46.741)
Epoch: [35][7040/7045]	Time 0.102 (0.250)	Data 0.000 (0.184)	Loss 3.4573 (3.5923)	Prec@1 24.219 (20.950)	Prec@5 47.266 (46.741)
Test: [0/143]	Time 1.198 (1.198)	Loss 3.1497 (3.1497)	Prec@1 26.172 (26.172)	Prec@5 55.859 (55.859)
Test: [10/143]	Time 0.225 (0.260)	Loss 3.0426 (3.0392)	Prec@1 29.688 (29.084)	Prec@5 59.375 (59.375)
Test: [20/143]	Time 0.048 (0.229)	Loss 3.0012 (3.0107)	Prec@1 30.859 (28.739)	Prec@5 62.500 (60.156)
Test: [30/143]	Time 0.048 (0.213)	Loss 3.4171 (3.0096)	Prec@1 25.000 (29.688)	Prec@5 50.391 (59.526)
Test: [40/143]	Time 0.185 (0.201)	Loss 3.4759 (3.0016)	Prec@1 14.453 (30.021)	Prec@5 47.656 (59.413)
Test: [50/143]	Time 0.049 (0.199)	Loss 2.4328 (3.0439)	Prec@1 35.156 (28.600)	Prec@5 71.875 (58.509)
Test: [60/143]	Time 0.058 (0.195)	Loss 3.4004 (3.0077)	Prec@1 17.578 (29.451)	Prec@5 52.344 (59.413)
Test: [70/143]	Time 0.048 (0.192)	Loss 3.5799 (3.0005)	Prec@1 15.625 (29.682)	Prec@5 44.531 (59.551)
Test: [80/143]	Time 0.049 (0.192)	Loss 2.8618 (3.0006)	Prec@1 28.906 (29.818)	Prec@5 67.578 (59.713)
Test: [90/143]	Time 0.217 (0.190)	Loss 2.7050 (2.9940)	Prec@1 36.328 (29.859)	Prec@5 67.188 (59.873)
Test: [100/143]	Time 0.229 (0.188)	Loss 2.5300 (2.9864)	Prec@1 45.703 (30.005)	Prec@5 72.266 (60.079)
Test: [110/143]	Time 0.168 (0.187)	Loss 2.7638 (2.9766)	Prec@1 37.500 (30.349)	Prec@5 66.797 (60.293)
Test: [120/143]	Time 0.213 (0.187)	Loss 2.5127 (2.9662)	Prec@1 37.891 (30.604)	Prec@5 74.219 (60.511)
Test: [130/143]	Time 0.340 (0.187)	Loss 2.5746 (2.9774)	Prec@1 38.281 (30.439)	Prec@5 66.406 (60.112)
Test: [140/143]	Time 0.062 (0.185)	Loss 3.8584 (2.9983)	Prec@1 14.453 (30.056)	Prec@5 40.234 (59.630)
 * Prec@1 30.052 Prec@5 59.608
Epoch: [36][0/7045]	Time 2.734 (2.734)	Data 2.678 (2.678)	Loss 3.6400 (3.6400)	Prec@1 20.703 (20.703)	Prec@5 44.141 (44.141)
Epoch: [36][10/7045]	Time 0.101 (0.451)	Data 0.001 (0.370)	Loss 3.5307 (3.4836)	Prec@1 21.094 (22.408)	Prec@5 48.047 (46.982)
Epoch: [36][20/7045]	Time 0.296 (0.367)	Data 0.246 (0.296)	Loss 3.4243 (3.5392)	Prec@1 25.781 (21.949)	Prec@5 50.781 (47.080)
Epoch: [36][30/7045]	Time 0.610 (0.345)	Data 0.552 (0.277)	Loss 3.3611 (3.5197)	Prec@1 23.438 (22.341)	Prec@5 50.000 (47.833)
Epoch: [36][40/7045]	Time 0.107 (0.316)	Data 0.055 (0.248)	Loss 3.7775 (3.5314)	Prec@1 18.750 (22.170)	Prec@5 41.016 (47.542)
Epoch: [36][50/7045]	Time 0.102 (0.311)	Data 0.001 (0.243)	Loss 3.3917 (3.5307)	Prec@1 26.953 (21.967)	Prec@5 51.953 (47.564)
Epoch: [36][60/7045]	Time 0.489 (0.305)	Data 0.439 (0.239)	Loss 3.7805 (3.5455)	Prec@1 19.531 (21.683)	Prec@5 42.969 (47.208)
Epoch: [36][70/7045]	Time 0.100 (0.297)	Data 0.001 (0.231)	Loss 3.6701 (3.5439)	Prec@1 19.531 (21.704)	Prec@5 44.531 (47.458)
Epoch: [36][80/7045]	Time 0.107 (0.293)	Data 0.001 (0.226)	Loss 3.5031 (3.5542)	Prec@1 26.172 (21.663)	Prec@5 48.438 (47.323)
Epoch: [36][90/7045]	Time 0.427 (0.289)	Data 0.369 (0.223)	Loss 3.4888 (3.5533)	Prec@1 21.094 (21.557)	Prec@5 46.875 (47.343)
Epoch: [36][100/7045]	Time 0.235 (0.283)	Data 0.180 (0.218)	Loss 3.3806 (3.5540)	Prec@1 22.266 (21.457)	Prec@5 50.391 (47.324)
Epoch: [36][110/7045]	Time 0.106 (0.282)	Data 0.053 (0.216)	Loss 3.7009 (3.5564)	Prec@1 19.922 (21.498)	Prec@5 42.969 (47.318)
Epoch: [36][120/7045]	Time 0.467 (0.281)	Data 0.416 (0.215)	Loss 3.3893 (3.5566)	Prec@1 26.562 (21.601)	Prec@5 55.078 (47.388)
Epoch: [36][130/7045]	Time 0.347 (0.278)	Data 0.295 (0.212)	Loss 3.4904 (3.5538)	Prec@1 23.828 (21.607)	Prec@5 46.484 (47.385)
Epoch: [36][140/7045]	Time 0.191 (0.276)	Data 0.139 (0.210)	Loss 3.5082 (3.5514)	Prec@1 18.750 (21.612)	Prec@5 46.875 (47.490)
Epoch: [36][150/7045]	Time 0.403 (0.276)	Data 0.353 (0.209)	Loss 3.4896 (3.5452)	Prec@1 25.000 (21.699)	Prec@5 46.094 (47.555)
Epoch: [36][160/7045]	Time 0.446 (0.274)	Data 0.394 (0.208)	Loss 3.4750 (3.5442)	Prec@1 22.266 (21.710)	Prec@5 48.828 (47.581)
Epoch: [36][170/7045]	Time 0.356 (0.273)	Data 0.305 (0.207)	Loss 3.4395 (3.5429)	Prec@1 24.219 (21.699)	Prec@5 48.047 (47.622)
Epoch: [36][180/7045]	Time 0.102 (0.271)	Data 0.001 (0.205)	Loss 3.7654 (3.5445)	Prec@1 16.797 (21.610)	Prec@5 41.406 (47.581)
Epoch: [36][190/7045]	Time 0.101 (0.270)	Data 0.001 (0.204)	Loss 3.6332 (3.5427)	Prec@1 19.141 (21.609)	Prec@5 44.922 (47.640)
Epoch: [36][200/7045]	Time 0.107 (0.269)	Data 0.053 (0.203)	Loss 3.5983 (3.5406)	Prec@1 18.750 (21.663)	Prec@5 48.047 (47.705)
Epoch: [36][210/7045]	Time 0.155 (0.268)	Data 0.104 (0.203)	Loss 3.4090 (3.5359)	Prec@1 21.484 (21.740)	Prec@5 51.562 (47.821)
Epoch: [36][220/7045]	Time 0.223 (0.267)	Data 0.171 (0.202)	Loss 3.4788 (3.5368)	Prec@1 19.922 (21.718)	Prec@5 48.828 (47.805)
Epoch: [36][230/7045]	Time 0.304 (0.267)	Data 0.254 (0.202)	Loss 3.4516 (3.5372)	Prec@1 21.094 (21.724)	Prec@5 51.172 (47.803)
Epoch: [36][240/7045]	Time 0.255 (0.267)	Data 0.205 (0.201)	Loss 3.4337 (3.5356)	Prec@1 21.094 (21.726)	Prec@5 52.344 (47.825)
Epoch: [36][250/7045]	Time 0.365 (0.267)	Data 0.314 (0.201)	Loss 3.7274 (3.5369)	Prec@1 17.578 (21.761)	Prec@5 43.359 (47.784)
Epoch: [36][260/7045]	Time 0.671 (0.267)	Data 0.612 (0.202)	Loss 3.3402 (3.5345)	Prec@1 24.609 (21.781)	Prec@5 50.781 (47.839)
Epoch: [36][270/7045]	Time 0.275 (0.266)	Data 0.225 (0.200)	Loss 3.4468 (3.5340)	Prec@1 22.266 (21.770)	Prec@5 47.656 (47.855)
Epoch: [36][280/7045]	Time 0.099 (0.265)	Data 0.048 (0.200)	Loss 3.5790 (3.5352)	Prec@1 20.703 (21.743)	Prec@5 47.656 (47.843)
Epoch: [36][290/7045]	Time 0.101 (0.264)	Data 0.046 (0.199)	Loss 3.4352 (3.5352)	Prec@1 26.172 (21.753)	Prec@5 50.781 (47.860)
Epoch: [36][300/7045]	Time 0.155 (0.264)	Data 0.104 (0.199)	Loss 3.6079 (3.5357)	Prec@1 21.094 (21.774)	Prec@5 46.875 (47.878)
Epoch: [36][310/7045]	Time 0.215 (0.264)	Data 0.164 (0.199)	Loss 3.1357 (3.5358)	Prec@1 31.641 (21.790)	Prec@5 59.375 (47.874)
Epoch: [36][320/7045]	Time 0.126 (0.263)	Data 0.075 (0.198)	Loss 3.5411 (3.5360)	Prec@1 23.828 (21.779)	Prec@5 52.344 (47.891)
Epoch: [36][330/7045]	Time 0.153 (0.263)	Data 0.101 (0.198)	Loss 3.5989 (3.5337)	Prec@1 19.531 (21.790)	Prec@5 46.875 (47.971)
Epoch: [36][340/7045]	Time 0.276 (0.263)	Data 0.225 (0.198)	Loss 3.4206 (3.5351)	Prec@1 22.266 (21.772)	Prec@5 52.344 (47.950)
Epoch: [36][350/7045]	Time 0.173 (0.263)	Data 0.122 (0.198)	Loss 3.5354 (3.5343)	Prec@1 21.484 (21.803)	Prec@5 49.609 (47.971)
Epoch: [36][360/7045]	Time 0.794 (0.264)	Data 0.742 (0.199)	Loss 3.4285 (3.5339)	Prec@1 28.906 (21.815)	Prec@5 50.000 (47.986)
Epoch: [36][370/7045]	Time 0.102 (0.262)	Data 0.001 (0.197)	Loss 3.4814 (3.5344)	Prec@1 22.656 (21.804)	Prec@5 50.000 (47.959)
Epoch: [36][380/7045]	Time 0.341 (0.263)	Data 0.290 (0.198)	Loss 3.5187 (3.5338)	Prec@1 20.703 (21.818)	Prec@5 45.312 (47.935)
Epoch: [36][390/7045]	Time 0.709 (0.263)	Data 0.657 (0.198)	Loss 3.5637 (3.5341)	Prec@1 18.359 (21.801)	Prec@5 46.484 (47.932)
Epoch: [36][400/7045]	Time 0.160 (0.262)	Data 0.109 (0.197)	Loss 3.4802 (3.5348)	Prec@1 21.875 (21.797)	Prec@5 50.000 (47.925)
Epoch: [36][410/7045]	Time 0.308 (0.263)	Data 0.248 (0.197)	Loss 3.2451 (3.5344)	Prec@1 23.438 (21.792)	Prec@5 49.609 (47.921)
Epoch: [36][420/7045]	Time 0.361 (0.263)	Data 0.302 (0.197)	Loss 3.4656 (3.5322)	Prec@1 20.312 (21.830)	Prec@5 49.609 (47.951)
Epoch: [36][430/7045]	Time 0.101 (0.262)	Data 0.001 (0.196)	Loss 3.5578 (3.5304)	Prec@1 23.828 (21.861)	Prec@5 46.875 (47.983)
Epoch: [36][440/7045]	Time 0.101 (0.262)	Data 0.001 (0.196)	Loss 3.4835 (3.5301)	Prec@1 23.438 (21.885)	Prec@5 46.875 (47.996)
Epoch: [36][450/7045]	Time 0.431 (0.262)	Data 0.373 (0.197)	Loss 3.7118 (3.5304)	Prec@1 17.969 (21.885)	Prec@5 40.625 (48.018)
Epoch: [36][460/7045]	Time 0.102 (0.261)	Data 0.001 (0.196)	Loss 3.3169 (3.5299)	Prec@1 26.953 (21.891)	Prec@5 50.391 (48.021)
Epoch: [36][470/7045]	Time 0.107 (0.262)	Data 0.004 (0.195)	Loss 3.6835 (3.5295)	Prec@1 19.141 (21.911)	Prec@5 43.750 (48.037)
Epoch: [36][480/7045]	Time 0.101 (0.261)	Data 0.009 (0.194)	Loss 3.5131 (3.5302)	Prec@1 21.094 (21.899)	Prec@5 47.656 (48.027)
Epoch: [36][490/7045]	Time 0.104 (0.261)	Data 0.052 (0.195)	Loss 3.6018 (3.5313)	Prec@1 20.312 (21.874)	Prec@5 46.875 (48.018)
Epoch: [36][500/7045]	Time 0.330 (0.260)	Data 0.279 (0.194)	Loss 3.7505 (3.5307)	Prec@1 18.359 (21.863)	Prec@5 44.531 (48.027)
Epoch: [36][510/7045]	Time 0.104 (0.260)	Data 0.052 (0.194)	Loss 4.0513 (3.5322)	Prec@1 15.234 (21.841)	Prec@5 39.453 (48.000)
Epoch: [36][520/7045]	Time 0.648 (0.260)	Data 0.597 (0.195)	Loss 3.5130 (3.5317)	Prec@1 21.484 (21.877)	Prec@5 49.609 (47.989)
Epoch: [36][530/7045]	Time 0.107 (0.259)	Data 0.050 (0.194)	Loss 3.8631 (3.5320)	Prec@1 17.188 (21.865)	Prec@5 40.625 (47.973)
Epoch: [36][540/7045]	Time 0.611 (0.259)	Data 0.555 (0.194)	Loss 3.5379 (3.5339)	Prec@1 23.438 (21.836)	Prec@5 47.656 (47.942)
Epoch: [36][550/7045]	Time 0.211 (0.259)	Data 0.152 (0.193)	Loss 3.5873 (3.5337)	Prec@1 22.656 (21.863)	Prec@5 46.484 (47.948)
Epoch: [36][560/7045]	Time 0.415 (0.258)	Data 0.357 (0.193)	Loss 3.6935 (3.5343)	Prec@1 18.750 (21.862)	Prec@5 41.797 (47.949)
Epoch: [36][570/7045]	Time 0.255 (0.258)	Data 0.204 (0.193)	Loss 3.4577 (3.5337)	Prec@1 20.312 (21.861)	Prec@5 45.703 (47.941)
Epoch: [36][580/7045]	Time 0.324 (0.258)	Data 0.267 (0.193)	Loss 3.3776 (3.5338)	Prec@1 25.000 (21.846)	Prec@5 54.297 (47.937)
Epoch: [36][590/7045]	Time 0.452 (0.258)	Data 0.401 (0.193)	Loss 3.7194 (3.5344)	Prec@1 19.922 (21.847)	Prec@5 44.922 (47.919)
Epoch: [36][600/7045]	Time 0.108 (0.257)	Data 0.058 (0.193)	Loss 3.7482 (3.5357)	Prec@1 18.750 (21.829)	Prec@5 38.672 (47.894)
Epoch: [36][610/7045]	Time 0.446 (0.257)	Data 0.395 (0.193)	Loss 3.4591 (3.5359)	Prec@1 25.391 (21.832)	Prec@5 48.438 (47.899)
Epoch: [36][620/7045]	Time 0.179 (0.257)	Data 0.127 (0.192)	Loss 3.3803 (3.5350)	Prec@1 22.656 (21.839)	Prec@5 54.297 (47.942)
Epoch: [36][630/7045]	Time 0.350 (0.257)	Data 0.299 (0.192)	Loss 3.4900 (3.5357)	Prec@1 19.141 (21.830)	Prec@5 44.922 (47.951)
Epoch: [36][640/7045]	Time 0.212 (0.256)	Data 0.161 (0.192)	Loss 3.3855 (3.5350)	Prec@1 20.312 (21.827)	Prec@5 48.438 (47.962)
Epoch: [36][650/7045]	Time 0.278 (0.256)	Data 0.227 (0.192)	Loss 3.6088 (3.5351)	Prec@1 20.312 (21.823)	Prec@5 44.922 (47.944)
Epoch: [36][660/7045]	Time 0.274 (0.256)	Data 0.223 (0.192)	Loss 3.4484 (3.5355)	Prec@1 23.438 (21.808)	Prec@5 48.047 (47.914)
Epoch: [36][670/7045]	Time 0.108 (0.256)	Data 0.056 (0.192)	Loss 3.4555 (3.5356)	Prec@1 23.438 (21.800)	Prec@5 46.094 (47.893)
Epoch: [36][680/7045]	Time 0.329 (0.256)	Data 0.278 (0.192)	Loss 3.3769 (3.5349)	Prec@1 24.219 (21.810)	Prec@5 51.953 (47.901)
Epoch: [36][690/7045]	Time 0.105 (0.255)	Data 0.005 (0.192)	Loss 3.5335 (3.5345)	Prec@1 19.922 (21.811)	Prec@5 49.609 (47.920)
Epoch: [36][700/7045]	Time 0.312 (0.255)	Data 0.259 (0.192)	Loss 3.5692 (3.5348)	Prec@1 24.219 (21.814)	Prec@5 48.047 (47.905)
Epoch: [36][710/7045]	Time 0.183 (0.255)	Data 0.132 (0.192)	Loss 3.6044 (3.5351)	Prec@1 22.656 (21.812)	Prec@5 46.484 (47.886)
Epoch: [36][720/7045]	Time 0.180 (0.255)	Data 0.129 (0.191)	Loss 3.4331 (3.5349)	Prec@1 21.094 (21.809)	Prec@5 50.391 (47.872)
Epoch: [36][730/7045]	Time 0.101 (0.255)	Data 0.044 (0.191)	Loss 3.4721 (3.5349)	Prec@1 25.000 (21.819)	Prec@5 51.953 (47.881)
Epoch: [36][740/7045]	Time 0.199 (0.254)	Data 0.148 (0.191)	Loss 3.6714 (3.5353)	Prec@1 19.922 (21.802)	Prec@5 44.922 (47.890)
Epoch: [36][750/7045]	Time 0.102 (0.254)	Data 0.004 (0.191)	Loss 3.4735 (3.5341)	Prec@1 20.312 (21.817)	Prec@5 52.734 (47.938)
Epoch: [36][760/7045]	Time 0.241 (0.254)	Data 0.190 (0.191)	Loss 3.4634 (3.5345)	Prec@1 22.266 (21.819)	Prec@5 51.172 (47.946)
Epoch: [36][770/7045]	Time 0.102 (0.254)	Data 0.007 (0.191)	Loss 3.5360 (3.5348)	Prec@1 21.875 (21.825)	Prec@5 46.484 (47.939)
Epoch: [36][780/7045]	Time 0.300 (0.254)	Data 0.250 (0.191)	Loss 3.8548 (3.5343)	Prec@1 19.531 (21.838)	Prec@5 38.281 (47.933)
Epoch: [36][790/7045]	Time 0.101 (0.253)	Data 0.003 (0.190)	Loss 3.5060 (3.5348)	Prec@1 22.656 (21.824)	Prec@5 47.656 (47.912)
Epoch: [36][800/7045]	Time 0.400 (0.253)	Data 0.349 (0.190)	Loss 3.5518 (3.5350)	Prec@1 23.047 (21.813)	Prec@5 48.047 (47.894)
Epoch: [36][810/7045]	Time 0.110 (0.253)	Data 0.007 (0.190)	Loss 3.5729 (3.5342)	Prec@1 20.703 (21.829)	Prec@5 44.922 (47.905)
Epoch: [36][820/7045]	Time 0.341 (0.253)	Data 0.289 (0.190)	Loss 3.5584 (3.5346)	Prec@1 20.703 (21.823)	Prec@5 45.312 (47.897)
Epoch: [36][830/7045]	Time 0.101 (0.253)	Data 0.001 (0.190)	Loss 3.5726 (3.5344)	Prec@1 21.094 (21.833)	Prec@5 48.828 (47.906)
Epoch: [36][840/7045]	Time 0.349 (0.253)	Data 0.297 (0.189)	Loss 3.7392 (3.5346)	Prec@1 17.969 (21.821)	Prec@5 44.141 (47.900)
Epoch: [36][850/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 3.5924 (3.5340)	Prec@1 21.484 (21.830)	Prec@5 47.656 (47.905)
Epoch: [36][860/7045]	Time 0.413 (0.253)	Data 0.362 (0.189)	Loss 3.5777 (3.5338)	Prec@1 23.047 (21.830)	Prec@5 46.875 (47.909)
Epoch: [36][870/7045]	Time 0.102 (0.252)	Data 0.004 (0.189)	Loss 3.7064 (3.5339)	Prec@1 18.359 (21.835)	Prec@5 44.531 (47.903)
Epoch: [36][880/7045]	Time 0.383 (0.252)	Data 0.332 (0.188)	Loss 3.7823 (3.5341)	Prec@1 19.922 (21.833)	Prec@5 47.656 (47.897)
Epoch: [36][890/7045]	Time 0.101 (0.252)	Data 0.001 (0.188)	Loss 3.6307 (3.5343)	Prec@1 21.094 (21.841)	Prec@5 47.266 (47.905)
Epoch: [36][900/7045]	Time 0.324 (0.252)	Data 0.274 (0.188)	Loss 3.7591 (3.5347)	Prec@1 15.234 (21.824)	Prec@5 41.016 (47.898)
Epoch: [36][910/7045]	Time 0.156 (0.252)	Data 0.100 (0.188)	Loss 3.7056 (3.5348)	Prec@1 17.578 (21.830)	Prec@5 45.312 (47.893)
Epoch: [36][920/7045]	Time 0.280 (0.252)	Data 0.228 (0.188)	Loss 3.4116 (3.5344)	Prec@1 26.562 (21.844)	Prec@5 51.953 (47.898)
Epoch: [36][930/7045]	Time 0.235 (0.252)	Data 0.184 (0.188)	Loss 3.5413 (3.5349)	Prec@1 21.875 (21.831)	Prec@5 48.047 (47.892)
Epoch: [36][940/7045]	Time 0.202 (0.252)	Data 0.151 (0.188)	Loss 3.3985 (3.5342)	Prec@1 23.828 (21.851)	Prec@5 50.000 (47.890)
Epoch: [36][950/7045]	Time 0.390 (0.252)	Data 0.339 (0.188)	Loss 3.5218 (3.5339)	Prec@1 22.266 (21.861)	Prec@5 51.953 (47.908)
Epoch: [36][960/7045]	Time 0.173 (0.251)	Data 0.122 (0.188)	Loss 3.5667 (3.5340)	Prec@1 18.359 (21.851)	Prec@5 48.047 (47.903)
Epoch: [36][970/7045]	Time 0.412 (0.251)	Data 0.362 (0.188)	Loss 3.4353 (3.5336)	Prec@1 24.609 (21.852)	Prec@5 53.125 (47.910)
Epoch: [36][980/7045]	Time 0.204 (0.251)	Data 0.153 (0.188)	Loss 3.7071 (3.5337)	Prec@1 17.969 (21.852)	Prec@5 46.484 (47.905)
Epoch: [36][990/7045]	Time 0.370 (0.251)	Data 0.318 (0.188)	Loss 3.6763 (3.5340)	Prec@1 19.141 (21.847)	Prec@5 45.312 (47.897)
Epoch: [36][1000/7045]	Time 0.236 (0.251)	Data 0.180 (0.188)	Loss 3.2738 (3.5333)	Prec@1 29.688 (21.862)	Prec@5 51.562 (47.904)
Epoch: [36][1010/7045]	Time 0.404 (0.251)	Data 0.353 (0.188)	Loss 3.3890 (3.5327)	Prec@1 25.000 (21.869)	Prec@5 53.125 (47.919)
Epoch: [36][1020/7045]	Time 0.212 (0.251)	Data 0.155 (0.188)	Loss 3.5463 (3.5330)	Prec@1 19.922 (21.856)	Prec@5 46.094 (47.908)
Epoch: [36][1030/7045]	Time 0.537 (0.251)	Data 0.486 (0.188)	Loss 3.5146 (3.5331)	Prec@1 24.609 (21.869)	Prec@5 51.172 (47.908)
Epoch: [36][1040/7045]	Time 0.189 (0.250)	Data 0.139 (0.188)	Loss 3.6187 (3.5326)	Prec@1 19.141 (21.870)	Prec@5 44.531 (47.919)
Epoch: [36][1050/7045]	Time 0.555 (0.251)	Data 0.504 (0.188)	Loss 3.5557 (3.5322)	Prec@1 24.219 (21.876)	Prec@5 48.438 (47.921)
Epoch: [36][1060/7045]	Time 0.163 (0.250)	Data 0.112 (0.188)	Loss 3.5101 (3.5326)	Prec@1 22.266 (21.876)	Prec@5 49.609 (47.914)
Epoch: [36][1070/7045]	Time 0.603 (0.250)	Data 0.551 (0.188)	Loss 3.7503 (3.5330)	Prec@1 17.578 (21.870)	Prec@5 43.750 (47.919)
Epoch: [36][1080/7045]	Time 0.133 (0.250)	Data 0.081 (0.187)	Loss 3.5738 (3.5329)	Prec@1 22.266 (21.869)	Prec@5 49.219 (47.926)
Epoch: [36][1090/7045]	Time 0.544 (0.250)	Data 0.491 (0.187)	Loss 3.2635 (3.5329)	Prec@1 28.125 (21.866)	Prec@5 56.250 (47.922)
Epoch: [36][1100/7045]	Time 0.116 (0.250)	Data 0.057 (0.187)	Loss 3.4515 (3.5336)	Prec@1 19.531 (21.847)	Prec@5 48.438 (47.906)
Epoch: [36][1110/7045]	Time 0.574 (0.250)	Data 0.522 (0.187)	Loss 3.5926 (3.5335)	Prec@1 19.531 (21.839)	Prec@5 44.531 (47.906)
Epoch: [36][1120/7045]	Time 0.102 (0.250)	Data 0.007 (0.187)	Loss 3.3514 (3.5333)	Prec@1 24.219 (21.839)	Prec@5 53.516 (47.915)
Epoch: [36][1130/7045]	Time 0.571 (0.250)	Data 0.514 (0.187)	Loss 3.6122 (3.5336)	Prec@1 20.703 (21.846)	Prec@5 48.438 (47.920)
Epoch: [36][1140/7045]	Time 0.130 (0.250)	Data 0.071 (0.187)	Loss 3.6074 (3.5338)	Prec@1 21.875 (21.835)	Prec@5 48.828 (47.922)
Epoch: [36][1150/7045]	Time 0.502 (0.250)	Data 0.451 (0.187)	Loss 3.6735 (3.5347)	Prec@1 19.531 (21.824)	Prec@5 43.750 (47.905)
Epoch: [36][1160/7045]	Time 0.161 (0.249)	Data 0.111 (0.187)	Loss 3.4794 (3.5345)	Prec@1 17.578 (21.822)	Prec@5 47.656 (47.898)
Epoch: [36][1170/7045]	Time 0.307 (0.250)	Data 0.255 (0.187)	Loss 3.7498 (3.5345)	Prec@1 19.531 (21.822)	Prec@5 44.922 (47.908)
Epoch: [36][1180/7045]	Time 0.140 (0.249)	Data 0.089 (0.187)	Loss 3.5428 (3.5344)	Prec@1 26.562 (21.826)	Prec@5 49.219 (47.922)
Epoch: [36][1190/7045]	Time 0.102 (0.249)	Data 0.007 (0.187)	Loss 3.5218 (3.5342)	Prec@1 21.094 (21.831)	Prec@5 46.875 (47.926)
Epoch: [36][1200/7045]	Time 0.156 (0.249)	Data 0.105 (0.187)	Loss 3.6246 (3.5346)	Prec@1 17.969 (21.815)	Prec@5 45.703 (47.919)
Epoch: [36][1210/7045]	Time 0.147 (0.249)	Data 0.088 (0.187)	Loss 3.4800 (3.5344)	Prec@1 20.703 (21.814)	Prec@5 46.484 (47.914)
Epoch: [36][1220/7045]	Time 0.107 (0.249)	Data 0.055 (0.187)	Loss 3.6041 (3.5347)	Prec@1 20.703 (21.807)	Prec@5 46.875 (47.905)
Epoch: [36][1230/7045]	Time 0.249 (0.249)	Data 0.196 (0.187)	Loss 3.4553 (3.5349)	Prec@1 21.484 (21.794)	Prec@5 46.484 (47.905)
Epoch: [36][1240/7045]	Time 0.110 (0.249)	Data 0.058 (0.187)	Loss 3.5145 (3.5343)	Prec@1 17.969 (21.801)	Prec@5 44.531 (47.921)
Epoch: [36][1250/7045]	Time 0.257 (0.249)	Data 0.206 (0.187)	Loss 3.6069 (3.5341)	Prec@1 19.141 (21.811)	Prec@5 46.484 (47.926)
Epoch: [36][1260/7045]	Time 0.139 (0.249)	Data 0.088 (0.187)	Loss 3.4830 (3.5338)	Prec@1 22.656 (21.814)	Prec@5 51.953 (47.931)
Epoch: [36][1270/7045]	Time 0.223 (0.249)	Data 0.171 (0.187)	Loss 3.3093 (3.5339)	Prec@1 21.484 (21.810)	Prec@5 55.469 (47.937)
Epoch: [36][1280/7045]	Time 0.107 (0.249)	Data 0.009 (0.187)	Loss 3.2478 (3.5334)	Prec@1 26.953 (21.820)	Prec@5 56.250 (47.944)
Epoch: [36][1290/7045]	Time 0.524 (0.249)	Data 0.473 (0.187)	Loss 3.4465 (3.5334)	Prec@1 22.266 (21.813)	Prec@5 50.391 (47.940)
Epoch: [36][1300/7045]	Time 0.107 (0.249)	Data 0.001 (0.187)	Loss 3.5475 (3.5329)	Prec@1 21.875 (21.828)	Prec@5 48.828 (47.951)
Epoch: [36][1310/7045]	Time 0.479 (0.249)	Data 0.428 (0.187)	Loss 3.5472 (3.5328)	Prec@1 22.656 (21.824)	Prec@5 45.703 (47.955)
Epoch: [36][1320/7045]	Time 0.449 (0.249)	Data 0.398 (0.187)	Loss 3.4121 (3.5326)	Prec@1 21.875 (21.823)	Prec@5 50.000 (47.962)
Epoch: [36][1330/7045]	Time 0.226 (0.249)	Data 0.174 (0.187)	Loss 3.6208 (3.5329)	Prec@1 23.828 (21.826)	Prec@5 43.750 (47.951)
Epoch: [36][1340/7045]	Time 0.632 (0.249)	Data 0.580 (0.187)	Loss 3.4765 (3.5329)	Prec@1 21.094 (21.823)	Prec@5 48.828 (47.946)
Epoch: [36][1350/7045]	Time 0.101 (0.249)	Data 0.004 (0.187)	Loss 3.6400 (3.5323)	Prec@1 21.484 (21.825)	Prec@5 46.094 (47.959)
Epoch: [36][1360/7045]	Time 0.547 (0.249)	Data 0.488 (0.187)	Loss 3.6082 (3.5323)	Prec@1 21.875 (21.819)	Prec@5 46.484 (47.958)
Epoch: [36][1370/7045]	Time 0.101 (0.249)	Data 0.045 (0.187)	Loss 3.3127 (3.5319)	Prec@1 23.438 (21.825)	Prec@5 53.516 (47.971)
Epoch: [36][1380/7045]	Time 0.576 (0.249)	Data 0.525 (0.187)	Loss 3.3495 (3.5323)	Prec@1 21.875 (21.816)	Prec@5 51.953 (47.969)
Epoch: [36][1390/7045]	Time 0.101 (0.249)	Data 0.001 (0.186)	Loss 3.8772 (3.5327)	Prec@1 17.578 (21.814)	Prec@5 41.797 (47.962)
Epoch: [36][1400/7045]	Time 0.328 (0.249)	Data 0.275 (0.187)	Loss 3.4363 (3.5325)	Prec@1 25.781 (21.818)	Prec@5 45.703 (47.961)
Epoch: [36][1410/7045]	Time 0.101 (0.249)	Data 0.001 (0.186)	Loss 3.4501 (3.5323)	Prec@1 21.094 (21.823)	Prec@5 51.562 (47.968)
Epoch: [36][1420/7045]	Time 0.102 (0.249)	Data 0.001 (0.187)	Loss 3.3499 (3.5323)	Prec@1 28.516 (21.825)	Prec@5 50.391 (47.966)
Epoch: [36][1430/7045]	Time 0.102 (0.249)	Data 0.001 (0.186)	Loss 3.5240 (3.5327)	Prec@1 23.047 (21.818)	Prec@5 51.562 (47.959)
Epoch: [36][1440/7045]	Time 0.197 (0.249)	Data 0.146 (0.186)	Loss 3.5348 (3.5329)	Prec@1 21.875 (21.817)	Prec@5 49.219 (47.957)
Epoch: [36][1450/7045]	Time 0.101 (0.249)	Data 0.001 (0.186)	Loss 3.7010 (3.5327)	Prec@1 19.531 (21.822)	Prec@5 41.016 (47.953)
Epoch: [36][1460/7045]	Time 0.106 (0.249)	Data 0.054 (0.186)	Loss 3.4727 (3.5328)	Prec@1 18.359 (21.818)	Prec@5 51.953 (47.950)
Epoch: [36][1470/7045]	Time 0.101 (0.249)	Data 0.003 (0.186)	Loss 3.4588 (3.5328)	Prec@1 21.094 (21.826)	Prec@5 46.484 (47.952)
Epoch: [36][1480/7045]	Time 0.238 (0.249)	Data 0.188 (0.186)	Loss 3.4763 (3.5326)	Prec@1 21.484 (21.824)	Prec@5 47.266 (47.957)
Epoch: [36][1490/7045]	Time 0.378 (0.249)	Data 0.328 (0.186)	Loss 3.7159 (3.5327)	Prec@1 18.750 (21.828)	Prec@5 43.750 (47.955)
Epoch: [36][1500/7045]	Time 0.103 (0.249)	Data 0.001 (0.186)	Loss 3.7733 (3.5332)	Prec@1 22.266 (21.827)	Prec@5 43.750 (47.947)
Epoch: [36][1510/7045]	Time 0.402 (0.249)	Data 0.350 (0.186)	Loss 3.3693 (3.5330)	Prec@1 24.219 (21.825)	Prec@5 49.609 (47.947)
Epoch: [36][1520/7045]	Time 0.148 (0.249)	Data 0.096 (0.186)	Loss 3.4996 (3.5334)	Prec@1 18.750 (21.816)	Prec@5 46.875 (47.935)
Epoch: [36][1530/7045]	Time 0.309 (0.249)	Data 0.258 (0.186)	Loss 3.5068 (3.5335)	Prec@1 23.047 (21.814)	Prec@5 46.484 (47.938)
Epoch: [36][1540/7045]	Time 0.390 (0.249)	Data 0.339 (0.186)	Loss 3.6714 (3.5339)	Prec@1 23.047 (21.810)	Prec@5 42.578 (47.935)
Epoch: [36][1550/7045]	Time 0.286 (0.249)	Data 0.234 (0.186)	Loss 3.4359 (3.5342)	Prec@1 23.438 (21.806)	Prec@5 50.781 (47.925)
Epoch: [36][1560/7045]	Time 0.334 (0.249)	Data 0.283 (0.186)	Loss 3.5167 (3.5341)	Prec@1 18.359 (21.801)	Prec@5 47.266 (47.927)
Epoch: [36][1570/7045]	Time 0.279 (0.249)	Data 0.229 (0.186)	Loss 3.4392 (3.5338)	Prec@1 21.094 (21.806)	Prec@5 51.562 (47.938)
Epoch: [36][1580/7045]	Time 0.107 (0.249)	Data 0.001 (0.186)	Loss 3.3709 (3.5335)	Prec@1 26.953 (21.813)	Prec@5 52.734 (47.948)
Epoch: [36][1590/7045]	Time 0.473 (0.249)	Data 0.421 (0.186)	Loss 3.5059 (3.5333)	Prec@1 21.875 (21.813)	Prec@5 49.219 (47.950)
Epoch: [36][1600/7045]	Time 0.101 (0.249)	Data 0.048 (0.186)	Loss 3.4684 (3.5332)	Prec@1 24.609 (21.814)	Prec@5 50.000 (47.947)
Epoch: [36][1610/7045]	Time 0.638 (0.249)	Data 0.587 (0.186)	Loss 3.3820 (3.5329)	Prec@1 23.047 (21.814)	Prec@5 51.172 (47.956)
Epoch: [36][1620/7045]	Time 0.103 (0.249)	Data 0.001 (0.186)	Loss 3.5092 (3.5328)	Prec@1 22.266 (21.811)	Prec@5 48.047 (47.957)
Epoch: [36][1630/7045]	Time 0.340 (0.249)	Data 0.288 (0.186)	Loss 3.6107 (3.5328)	Prec@1 22.266 (21.810)	Prec@5 48.438 (47.966)
Epoch: [36][1640/7045]	Time 0.102 (0.249)	Data 0.006 (0.186)	Loss 3.6453 (3.5327)	Prec@1 19.141 (21.810)	Prec@5 49.609 (47.973)
Epoch: [36][1650/7045]	Time 0.123 (0.249)	Data 0.064 (0.186)	Loss 3.5816 (3.5325)	Prec@1 19.141 (21.808)	Prec@5 46.875 (47.977)
Epoch: [36][1660/7045]	Time 0.389 (0.249)	Data 0.337 (0.186)	Loss 3.5459 (3.5325)	Prec@1 19.531 (21.806)	Prec@5 50.391 (47.980)
Epoch: [36][1670/7045]	Time 0.109 (0.249)	Data 0.057 (0.186)	Loss 3.3662 (3.5329)	Prec@1 25.781 (21.806)	Prec@5 53.516 (47.972)
Epoch: [36][1680/7045]	Time 0.539 (0.249)	Data 0.487 (0.186)	Loss 3.3253 (3.5327)	Prec@1 27.734 (21.813)	Prec@5 52.734 (47.977)
Epoch: [36][1690/7045]	Time 0.101 (0.249)	Data 0.046 (0.186)	Loss 3.6262 (3.5326)	Prec@1 22.266 (21.812)	Prec@5 45.703 (47.975)
Epoch: [36][1700/7045]	Time 0.100 (0.249)	Data 0.001 (0.186)	Loss 3.4796 (3.5323)	Prec@1 24.609 (21.816)	Prec@5 49.609 (47.977)
Epoch: [36][1710/7045]	Time 0.104 (0.249)	Data 0.001 (0.186)	Loss 3.4808 (3.5322)	Prec@1 26.562 (21.817)	Prec@5 51.172 (47.982)
Epoch: [36][1720/7045]	Time 0.136 (0.249)	Data 0.085 (0.186)	Loss 3.6694 (3.5321)	Prec@1 22.266 (21.820)	Prec@5 47.656 (47.985)
Epoch: [36][1730/7045]	Time 0.140 (0.249)	Data 0.089 (0.186)	Loss 3.7373 (3.5321)	Prec@1 20.703 (21.824)	Prec@5 44.141 (47.988)
Epoch: [36][1740/7045]	Time 0.101 (0.249)	Data 0.001 (0.186)	Loss 3.6257 (3.5321)	Prec@1 18.359 (21.819)	Prec@5 42.578 (47.989)
Epoch: [36][1750/7045]	Time 0.472 (0.249)	Data 0.420 (0.186)	Loss 3.6446 (3.5320)	Prec@1 21.875 (21.822)	Prec@5 44.922 (47.989)
Epoch: [36][1760/7045]	Time 0.197 (0.249)	Data 0.146 (0.186)	Loss 3.6901 (3.5323)	Prec@1 21.094 (21.818)	Prec@5 45.703 (47.979)
Epoch: [36][1770/7045]	Time 0.462 (0.249)	Data 0.412 (0.186)	Loss 3.7296 (3.5322)	Prec@1 20.312 (21.824)	Prec@5 41.797 (47.983)
Epoch: [36][1780/7045]	Time 0.335 (0.249)	Data 0.284 (0.186)	Loss 3.5536 (3.5325)	Prec@1 20.312 (21.825)	Prec@5 46.484 (47.979)
Epoch: [36][1790/7045]	Time 0.362 (0.249)	Data 0.310 (0.186)	Loss 3.4555 (3.5325)	Prec@1 23.828 (21.821)	Prec@5 47.266 (47.977)
Epoch: [36][1800/7045]	Time 0.380 (0.249)	Data 0.328 (0.186)	Loss 3.6582 (3.5328)	Prec@1 24.609 (21.814)	Prec@5 50.391 (47.974)
Epoch: [36][1810/7045]	Time 0.341 (0.249)	Data 0.283 (0.186)	Loss 3.4282 (3.5328)	Prec@1 24.219 (21.817)	Prec@5 52.734 (47.980)
Epoch: [36][1820/7045]	Time 0.437 (0.249)	Data 0.386 (0.186)	Loss 3.6758 (3.5329)	Prec@1 18.750 (21.812)	Prec@5 44.531 (47.978)
Epoch: [36][1830/7045]	Time 0.319 (0.249)	Data 0.268 (0.186)	Loss 3.5560 (3.5330)	Prec@1 20.703 (21.810)	Prec@5 46.875 (47.974)
Epoch: [36][1840/7045]	Time 0.103 (0.249)	Data 0.051 (0.186)	Loss 3.4349 (3.5327)	Prec@1 22.656 (21.811)	Prec@5 50.000 (47.981)
Epoch: [36][1850/7045]	Time 0.289 (0.249)	Data 0.238 (0.186)	Loss 3.4831 (3.5328)	Prec@1 22.266 (21.809)	Prec@5 48.047 (47.981)
Epoch: [36][1860/7045]	Time 0.180 (0.249)	Data 0.129 (0.186)	Loss 3.6303 (3.5328)	Prec@1 19.922 (21.814)	Prec@5 46.484 (47.984)
Epoch: [36][1870/7045]	Time 0.100 (0.249)	Data 0.047 (0.186)	Loss 3.6266 (3.5327)	Prec@1 19.531 (21.813)	Prec@5 48.047 (47.989)
Epoch: [36][1880/7045]	Time 0.101 (0.249)	Data 0.002 (0.186)	Loss 3.3560 (3.5325)	Prec@1 26.172 (21.810)	Prec@5 50.781 (47.996)
Epoch: [36][1890/7045]	Time 0.118 (0.249)	Data 0.068 (0.186)	Loss 3.5633 (3.5322)	Prec@1 19.141 (21.812)	Prec@5 47.266 (48.002)
Epoch: [36][1900/7045]	Time 0.102 (0.249)	Data 0.001 (0.186)	Loss 3.6291 (3.5323)	Prec@1 24.219 (21.812)	Prec@5 49.219 (48.003)
Epoch: [36][1910/7045]	Time 0.325 (0.249)	Data 0.274 (0.186)	Loss 3.5119 (3.5324)	Prec@1 20.703 (21.808)	Prec@5 47.266 (48.002)
Epoch: [36][1920/7045]	Time 0.176 (0.249)	Data 0.125 (0.186)	Loss 3.3932 (3.5324)	Prec@1 25.391 (21.811)	Prec@5 51.953 (48.002)
Epoch: [36][1930/7045]	Time 0.351 (0.249)	Data 0.292 (0.186)	Loss 3.6002 (3.5323)	Prec@1 20.312 (21.809)	Prec@5 44.531 (48.005)
Epoch: [36][1940/7045]	Time 0.574 (0.249)	Data 0.522 (0.186)	Loss 3.9184 (3.5325)	Prec@1 16.406 (21.805)	Prec@5 38.672 (47.999)
Epoch: [36][1950/7045]	Time 0.300 (0.249)	Data 0.249 (0.186)	Loss 3.4566 (3.5326)	Prec@1 26.172 (21.806)	Prec@5 51.172 (47.996)
Epoch: [36][1960/7045]	Time 0.415 (0.249)	Data 0.364 (0.186)	Loss 3.6040 (3.5325)	Prec@1 19.531 (21.808)	Prec@5 45.312 (48.001)
Epoch: [36][1970/7045]	Time 0.198 (0.249)	Data 0.146 (0.186)	Loss 3.4231 (3.5323)	Prec@1 22.656 (21.815)	Prec@5 50.000 (48.007)
Epoch: [36][1980/7045]	Time 0.281 (0.249)	Data 0.230 (0.186)	Loss 3.7947 (3.5323)	Prec@1 14.453 (21.814)	Prec@5 42.578 (48.008)
Epoch: [36][1990/7045]	Time 0.128 (0.249)	Data 0.076 (0.186)	Loss 3.5944 (3.5323)	Prec@1 19.531 (21.811)	Prec@5 50.000 (48.014)
Epoch: [36][2000/7045]	Time 0.219 (0.249)	Data 0.168 (0.186)	Loss 3.3461 (3.5322)	Prec@1 24.609 (21.813)	Prec@5 52.734 (48.016)
Epoch: [36][2010/7045]	Time 0.101 (0.249)	Data 0.048 (0.186)	Loss 3.4804 (3.5321)	Prec@1 21.875 (21.809)	Prec@5 50.000 (48.019)
Epoch: [36][2020/7045]	Time 0.221 (0.249)	Data 0.170 (0.186)	Loss 3.6412 (3.5320)	Prec@1 23.828 (21.812)	Prec@5 45.312 (48.021)
Epoch: [36][2030/7045]	Time 0.185 (0.249)	Data 0.134 (0.186)	Loss 3.6719 (3.5320)	Prec@1 22.266 (21.814)	Prec@5 48.047 (48.019)
Epoch: [36][2040/7045]	Time 0.201 (0.249)	Data 0.150 (0.186)	Loss 3.6302 (3.5324)	Prec@1 19.141 (21.807)	Prec@5 46.094 (48.010)
Epoch: [36][2050/7045]	Time 0.310 (0.249)	Data 0.258 (0.186)	Loss 3.5543 (3.5324)	Prec@1 21.875 (21.808)	Prec@5 47.266 (48.008)
Epoch: [36][2060/7045]	Time 0.144 (0.249)	Data 0.092 (0.186)	Loss 3.4716 (3.5324)	Prec@1 23.828 (21.804)	Prec@5 45.703 (48.006)
Epoch: [36][2070/7045]	Time 0.215 (0.248)	Data 0.164 (0.186)	Loss 3.4773 (3.5324)	Prec@1 20.312 (21.802)	Prec@5 50.781 (48.005)
Epoch: [36][2080/7045]	Time 0.100 (0.249)	Data 0.012 (0.186)	Loss 3.5762 (3.5322)	Prec@1 24.219 (21.804)	Prec@5 49.219 (48.006)
Epoch: [36][2090/7045]	Time 0.498 (0.249)	Data 0.447 (0.186)	Loss 3.4351 (3.5319)	Prec@1 21.094 (21.806)	Prec@5 50.781 (48.011)
Epoch: [36][2100/7045]	Time 0.325 (0.249)	Data 0.273 (0.186)	Loss 3.5603 (3.5321)	Prec@1 19.531 (21.803)	Prec@5 46.484 (48.006)
Epoch: [36][2110/7045]	Time 0.326 (0.249)	Data 0.275 (0.186)	Loss 3.4608 (3.5320)	Prec@1 19.531 (21.804)	Prec@5 50.000 (48.005)
Epoch: [36][2120/7045]	Time 0.415 (0.249)	Data 0.362 (0.186)	Loss 3.5907 (3.5321)	Prec@1 20.703 (21.807)	Prec@5 48.047 (48.005)
Epoch: [36][2130/7045]	Time 0.147 (0.249)	Data 0.096 (0.186)	Loss 3.7865 (3.5324)	Prec@1 12.500 (21.801)	Prec@5 42.188 (48.002)
Epoch: [36][2140/7045]	Time 0.445 (0.249)	Data 0.392 (0.186)	Loss 3.4848 (3.5324)	Prec@1 25.391 (21.801)	Prec@5 48.828 (48.002)
Epoch: [36][2150/7045]	Time 0.103 (0.249)	Data 0.001 (0.186)	Loss 3.5934 (3.5322)	Prec@1 16.016 (21.799)	Prec@5 46.875 (48.007)
Epoch: [36][2160/7045]	Time 0.556 (0.249)	Data 0.504 (0.186)	Loss 3.5592 (3.5320)	Prec@1 18.359 (21.800)	Prec@5 48.047 (48.011)
Epoch: [36][2170/7045]	Time 0.156 (0.249)	Data 0.098 (0.186)	Loss 3.6482 (3.5323)	Prec@1 21.094 (21.801)	Prec@5 45.312 (48.007)
Epoch: [36][2180/7045]	Time 0.429 (0.249)	Data 0.377 (0.186)	Loss 3.6918 (3.5321)	Prec@1 23.828 (21.803)	Prec@5 44.141 (48.009)
Epoch: [36][2190/7045]	Time 0.102 (0.249)	Data 0.007 (0.186)	Loss 3.7009 (3.5318)	Prec@1 20.312 (21.813)	Prec@5 43.750 (48.021)
Epoch: [36][2200/7045]	Time 0.552 (0.249)	Data 0.501 (0.186)	Loss 3.6850 (3.5319)	Prec@1 18.359 (21.810)	Prec@5 45.312 (48.018)
Epoch: [36][2210/7045]	Time 0.101 (0.249)	Data 0.004 (0.186)	Loss 3.4909 (3.5318)	Prec@1 21.094 (21.814)	Prec@5 50.391 (48.022)
Epoch: [36][2220/7045]	Time 0.621 (0.249)	Data 0.569 (0.186)	Loss 3.2943 (3.5317)	Prec@1 25.000 (21.819)	Prec@5 52.734 (48.019)
Epoch: [36][2230/7045]	Time 0.152 (0.249)	Data 0.100 (0.186)	Loss 3.7318 (3.5315)	Prec@1 19.922 (21.823)	Prec@5 41.797 (48.020)
Epoch: [36][2240/7045]	Time 0.581 (0.249)	Data 0.531 (0.186)	Loss 3.4724 (3.5315)	Prec@1 24.219 (21.825)	Prec@5 49.219 (48.022)
Epoch: [36][2250/7045]	Time 0.119 (0.248)	Data 0.061 (0.186)	Loss 3.5138 (3.5315)	Prec@1 19.922 (21.829)	Prec@5 51.562 (48.024)
Epoch: [36][2260/7045]	Time 0.443 (0.249)	Data 0.391 (0.186)	Loss 3.5811 (3.5317)	Prec@1 18.750 (21.825)	Prec@5 48.047 (48.022)
Epoch: [36][2270/7045]	Time 0.101 (0.248)	Data 0.003 (0.186)	Loss 3.4566 (3.5317)	Prec@1 25.000 (21.826)	Prec@5 48.047 (48.020)
Epoch: [36][2280/7045]	Time 0.285 (0.248)	Data 0.234 (0.186)	Loss 3.7447 (3.5320)	Prec@1 21.484 (21.822)	Prec@5 44.531 (48.011)
Epoch: [36][2290/7045]	Time 0.104 (0.248)	Data 0.006 (0.185)	Loss 3.7016 (3.5320)	Prec@1 20.312 (21.819)	Prec@5 46.094 (48.014)
Epoch: [36][2300/7045]	Time 0.101 (0.248)	Data 0.003 (0.186)	Loss 3.3767 (3.5319)	Prec@1 23.828 (21.818)	Prec@5 53.516 (48.017)
Epoch: [36][2310/7045]	Time 0.101 (0.248)	Data 0.008 (0.185)	Loss 3.3484 (3.5317)	Prec@1 23.828 (21.819)	Prec@5 51.562 (48.020)
Epoch: [36][2320/7045]	Time 0.211 (0.248)	Data 0.159 (0.185)	Loss 3.4438 (3.5317)	Prec@1 23.047 (21.821)	Prec@5 50.781 (48.019)
Epoch: [36][2330/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 3.5211 (3.5315)	Prec@1 21.875 (21.826)	Prec@5 47.266 (48.018)
Epoch: [36][2340/7045]	Time 0.259 (0.248)	Data 0.207 (0.185)	Loss 3.5147 (3.5313)	Prec@1 20.703 (21.828)	Prec@5 48.438 (48.021)
Epoch: [36][2350/7045]	Time 0.104 (0.248)	Data 0.053 (0.186)	Loss 3.3074 (3.5312)	Prec@1 27.734 (21.834)	Prec@5 54.688 (48.028)
Epoch: [36][2360/7045]	Time 0.120 (0.248)	Data 0.069 (0.185)	Loss 3.7541 (3.5316)	Prec@1 19.141 (21.829)	Prec@5 42.188 (48.021)
Epoch: [36][2370/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 3.3384 (3.5313)	Prec@1 24.219 (21.836)	Prec@5 51.172 (48.027)
Epoch: [36][2380/7045]	Time 0.107 (0.249)	Data 0.055 (0.186)	Loss 3.6175 (3.5312)	Prec@1 19.141 (21.838)	Prec@5 43.359 (48.028)
Epoch: [36][2390/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 3.5812 (3.5313)	Prec@1 21.875 (21.839)	Prec@5 46.484 (48.029)
Epoch: [36][2400/7045]	Time 0.102 (0.249)	Data 0.001 (0.186)	Loss 3.5638 (3.5314)	Prec@1 20.312 (21.836)	Prec@5 51.953 (48.026)
Epoch: [36][2410/7045]	Time 0.487 (0.249)	Data 0.435 (0.186)	Loss 3.5280 (3.5315)	Prec@1 17.578 (21.830)	Prec@5 48.438 (48.022)
Epoch: [36][2420/7045]	Time 0.109 (0.249)	Data 0.050 (0.186)	Loss 3.8089 (3.5313)	Prec@1 20.312 (21.835)	Prec@5 44.531 (48.027)
Epoch: [36][2430/7045]	Time 0.555 (0.249)	Data 0.495 (0.186)	Loss 3.4513 (3.5312)	Prec@1 26.172 (21.842)	Prec@5 51.172 (48.034)
Epoch: [36][2440/7045]	Time 0.345 (0.249)	Data 0.294 (0.186)	Loss 3.4309 (3.5312)	Prec@1 22.656 (21.835)	Prec@5 50.391 (48.034)
Epoch: [36][2450/7045]	Time 0.194 (0.249)	Data 0.142 (0.186)	Loss 3.2940 (3.5310)	Prec@1 25.781 (21.837)	Prec@5 53.125 (48.041)
Epoch: [36][2460/7045]	Time 0.728 (0.249)	Data 0.671 (0.186)	Loss 3.4492 (3.5309)	Prec@1 23.047 (21.846)	Prec@5 46.094 (48.046)
Epoch: [36][2470/7045]	Time 0.106 (0.249)	Data 0.053 (0.186)	Loss 3.5362 (3.5308)	Prec@1 22.266 (21.845)	Prec@5 49.609 (48.048)
Epoch: [36][2480/7045]	Time 0.457 (0.249)	Data 0.406 (0.186)	Loss 3.4345 (3.5309)	Prec@1 23.047 (21.848)	Prec@5 51.172 (48.050)
Epoch: [36][2490/7045]	Time 0.177 (0.249)	Data 0.127 (0.186)	Loss 3.5251 (3.5307)	Prec@1 22.266 (21.854)	Prec@5 47.656 (48.058)
Epoch: [36][2500/7045]	Time 0.414 (0.249)	Data 0.362 (0.186)	Loss 3.3908 (3.5306)	Prec@1 24.219 (21.858)	Prec@5 48.047 (48.061)
Epoch: [36][2510/7045]	Time 0.193 (0.249)	Data 0.141 (0.186)	Loss 3.4061 (3.5303)	Prec@1 26.953 (21.863)	Prec@5 52.734 (48.071)
Epoch: [36][2520/7045]	Time 0.519 (0.249)	Data 0.469 (0.186)	Loss 3.3168 (3.5304)	Prec@1 26.172 (21.862)	Prec@5 50.781 (48.069)
Epoch: [36][2530/7045]	Time 0.102 (0.249)	Data 0.001 (0.186)	Loss 3.6343 (3.5304)	Prec@1 18.750 (21.862)	Prec@5 46.875 (48.069)
Epoch: [36][2540/7045]	Time 0.664 (0.249)	Data 0.607 (0.186)	Loss 3.4235 (3.5302)	Prec@1 25.391 (21.868)	Prec@5 49.609 (48.072)
Epoch: [36][2550/7045]	Time 0.156 (0.249)	Data 0.105 (0.185)	Loss 3.3308 (3.5299)	Prec@1 23.828 (21.874)	Prec@5 50.781 (48.076)
Epoch: [36][2560/7045]	Time 0.589 (0.249)	Data 0.533 (0.185)	Loss 3.5151 (3.5297)	Prec@1 21.484 (21.877)	Prec@5 46.094 (48.080)
Epoch: [36][2570/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 3.4318 (3.5298)	Prec@1 19.922 (21.872)	Prec@5 49.609 (48.078)
Epoch: [36][2580/7045]	Time 0.588 (0.249)	Data 0.537 (0.185)	Loss 3.4701 (3.5300)	Prec@1 25.000 (21.868)	Prec@5 47.266 (48.075)
Epoch: [36][2590/7045]	Time 0.108 (0.248)	Data 0.001 (0.185)	Loss 3.2735 (3.5296)	Prec@1 26.562 (21.875)	Prec@5 51.172 (48.085)
Epoch: [36][2600/7045]	Time 0.673 (0.249)	Data 0.620 (0.185)	Loss 3.5960 (3.5297)	Prec@1 20.312 (21.873)	Prec@5 49.609 (48.087)
Epoch: [36][2610/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 3.6473 (3.5300)	Prec@1 19.141 (21.872)	Prec@5 44.141 (48.084)
Epoch: [36][2620/7045]	Time 0.459 (0.249)	Data 0.407 (0.185)	Loss 3.3578 (3.5300)	Prec@1 23.828 (21.872)	Prec@5 57.031 (48.085)
Epoch: [36][2630/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 3.4051 (3.5300)	Prec@1 24.219 (21.872)	Prec@5 46.484 (48.089)
Epoch: [36][2640/7045]	Time 0.145 (0.249)	Data 0.093 (0.185)	Loss 3.4651 (3.5298)	Prec@1 23.438 (21.877)	Prec@5 50.391 (48.094)
Epoch: [36][2650/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 3.5816 (3.5299)	Prec@1 19.531 (21.878)	Prec@5 46.875 (48.095)
Epoch: [36][2660/7045]	Time 0.213 (0.249)	Data 0.162 (0.185)	Loss 3.4825 (3.5298)	Prec@1 19.141 (21.875)	Prec@5 50.781 (48.096)
Epoch: [36][2670/7045]	Time 0.100 (0.248)	Data 0.001 (0.185)	Loss 3.2794 (3.5296)	Prec@1 25.391 (21.878)	Prec@5 55.078 (48.102)
Epoch: [36][2680/7045]	Time 0.108 (0.249)	Data 0.004 (0.185)	Loss 3.6387 (3.5295)	Prec@1 20.703 (21.877)	Prec@5 44.922 (48.099)
Epoch: [36][2690/7045]	Time 0.130 (0.248)	Data 0.079 (0.185)	Loss 3.4243 (3.5294)	Prec@1 28.125 (21.884)	Prec@5 50.000 (48.104)
Epoch: [36][2700/7045]	Time 0.106 (0.249)	Data 0.004 (0.185)	Loss 3.4449 (3.5292)	Prec@1 19.141 (21.882)	Prec@5 52.344 (48.108)
Epoch: [36][2710/7045]	Time 0.276 (0.248)	Data 0.223 (0.185)	Loss 3.5199 (3.5291)	Prec@1 18.750 (21.884)	Prec@5 45.312 (48.114)
Epoch: [36][2720/7045]	Time 0.100 (0.248)	Data 0.048 (0.185)	Loss 3.5958 (3.5291)	Prec@1 22.266 (21.887)	Prec@5 49.609 (48.115)
Epoch: [36][2730/7045]	Time 0.328 (0.248)	Data 0.277 (0.185)	Loss 3.5522 (3.5291)	Prec@1 21.484 (21.885)	Prec@5 48.047 (48.116)
Epoch: [36][2740/7045]	Time 0.190 (0.249)	Data 0.139 (0.185)	Loss 3.7567 (3.5291)	Prec@1 18.750 (21.887)	Prec@5 43.359 (48.115)
Epoch: [36][2750/7045]	Time 0.406 (0.249)	Data 0.356 (0.185)	Loss 3.4374 (3.5289)	Prec@1 21.094 (21.892)	Prec@5 48.047 (48.116)
Epoch: [36][2760/7045]	Time 0.186 (0.248)	Data 0.135 (0.185)	Loss 3.6581 (3.5290)	Prec@1 21.875 (21.892)	Prec@5 47.266 (48.114)
Epoch: [36][2770/7045]	Time 0.623 (0.249)	Data 0.566 (0.185)	Loss 3.5096 (3.5290)	Prec@1 25.781 (21.891)	Prec@5 50.000 (48.114)
Epoch: [36][2780/7045]	Time 0.100 (0.248)	Data 0.048 (0.185)	Loss 3.5336 (3.5289)	Prec@1 19.141 (21.891)	Prec@5 47.656 (48.117)
Epoch: [36][2790/7045]	Time 0.370 (0.249)	Data 0.315 (0.185)	Loss 3.5639 (3.5288)	Prec@1 20.312 (21.892)	Prec@5 48.828 (48.122)
Epoch: [36][2800/7045]	Time 0.132 (0.248)	Data 0.080 (0.185)	Loss 3.5428 (3.5288)	Prec@1 20.703 (21.894)	Prec@5 48.438 (48.124)
Epoch: [36][2810/7045]	Time 0.449 (0.249)	Data 0.397 (0.185)	Loss 3.4782 (3.5287)	Prec@1 22.266 (21.894)	Prec@5 49.609 (48.125)
Epoch: [36][2820/7045]	Time 0.155 (0.248)	Data 0.104 (0.185)	Loss 3.5685 (3.5288)	Prec@1 16.797 (21.890)	Prec@5 44.141 (48.122)
Epoch: [36][2830/7045]	Time 0.282 (0.248)	Data 0.230 (0.185)	Loss 3.4849 (3.5288)	Prec@1 26.562 (21.891)	Prec@5 51.172 (48.128)
Epoch: [36][2840/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 3.5068 (3.5287)	Prec@1 23.438 (21.892)	Prec@5 50.000 (48.128)
Epoch: [36][2850/7045]	Time 0.280 (0.248)	Data 0.229 (0.185)	Loss 3.6698 (3.5287)	Prec@1 21.875 (21.893)	Prec@5 45.312 (48.127)
Epoch: [36][2860/7045]	Time 0.350 (0.248)	Data 0.299 (0.185)	Loss 3.5804 (3.5288)	Prec@1 15.234 (21.892)	Prec@5 44.141 (48.122)
Epoch: [36][2870/7045]	Time 0.311 (0.248)	Data 0.259 (0.185)	Loss 3.3263 (3.5287)	Prec@1 27.734 (21.897)	Prec@5 52.734 (48.128)
Epoch: [36][2880/7045]	Time 0.459 (0.248)	Data 0.409 (0.185)	Loss 3.5758 (3.5286)	Prec@1 21.094 (21.895)	Prec@5 50.000 (48.128)
Epoch: [36][2890/7045]	Time 0.150 (0.248)	Data 0.099 (0.185)	Loss 3.6515 (3.5287)	Prec@1 22.656 (21.897)	Prec@5 45.312 (48.123)
Epoch: [36][2900/7045]	Time 0.379 (0.248)	Data 0.328 (0.185)	Loss 3.6510 (3.5287)	Prec@1 19.531 (21.898)	Prec@5 46.094 (48.123)
Epoch: [36][2910/7045]	Time 0.356 (0.248)	Data 0.304 (0.185)	Loss 3.6132 (3.5287)	Prec@1 18.750 (21.894)	Prec@5 43.750 (48.119)
Epoch: [36][2920/7045]	Time 0.102 (0.248)	Data 0.014 (0.185)	Loss 3.5283 (3.5286)	Prec@1 21.094 (21.895)	Prec@5 48.438 (48.121)
Epoch: [36][2930/7045]	Time 0.631 (0.249)	Data 0.577 (0.185)	Loss 3.8267 (3.5286)	Prec@1 16.406 (21.892)	Prec@5 42.578 (48.123)
Epoch: [36][2940/7045]	Time 0.116 (0.248)	Data 0.064 (0.185)	Loss 3.5654 (3.5285)	Prec@1 20.312 (21.893)	Prec@5 48.438 (48.127)
Epoch: [36][2950/7045]	Time 0.496 (0.248)	Data 0.445 (0.185)	Loss 3.5989 (3.5286)	Prec@1 20.312 (21.894)	Prec@5 45.312 (48.123)
Epoch: [36][2960/7045]	Time 0.203 (0.248)	Data 0.151 (0.185)	Loss 3.4668 (3.5289)	Prec@1 20.312 (21.891)	Prec@5 50.781 (48.122)
Epoch: [36][2970/7045]	Time 0.391 (0.248)	Data 0.335 (0.185)	Loss 3.3489 (3.5290)	Prec@1 23.828 (21.891)	Prec@5 50.391 (48.120)
Epoch: [36][2980/7045]	Time 0.196 (0.248)	Data 0.145 (0.185)	Loss 3.5903 (3.5290)	Prec@1 22.266 (21.892)	Prec@5 46.484 (48.125)
Epoch: [36][2990/7045]	Time 0.280 (0.248)	Data 0.227 (0.185)	Loss 3.5129 (3.5291)	Prec@1 24.219 (21.889)	Prec@5 49.609 (48.124)
Epoch: [36][3000/7045]	Time 0.108 (0.248)	Data 0.058 (0.185)	Loss 3.5680 (3.5291)	Prec@1 21.484 (21.890)	Prec@5 45.703 (48.124)
Epoch: [36][3010/7045]	Time 0.315 (0.248)	Data 0.263 (0.185)	Loss 3.4567 (3.5290)	Prec@1 22.266 (21.891)	Prec@5 50.000 (48.120)
Epoch: [36][3020/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 3.4625 (3.5287)	Prec@1 16.797 (21.895)	Prec@5 48.047 (48.127)
Epoch: [36][3030/7045]	Time 0.211 (0.248)	Data 0.159 (0.185)	Loss 3.5270 (3.5288)	Prec@1 20.703 (21.893)	Prec@5 47.266 (48.127)
Epoch: [36][3040/7045]	Time 0.311 (0.248)	Data 0.260 (0.185)	Loss 3.5929 (3.5288)	Prec@1 22.266 (21.894)	Prec@5 44.922 (48.128)
Epoch: [36][3050/7045]	Time 0.211 (0.248)	Data 0.159 (0.185)	Loss 3.6893 (3.5289)	Prec@1 23.047 (21.892)	Prec@5 43.750 (48.126)
Epoch: [36][3060/7045]	Time 0.223 (0.248)	Data 0.172 (0.185)	Loss 3.3547 (3.5290)	Prec@1 25.000 (21.893)	Prec@5 50.781 (48.119)
Epoch: [36][3070/7045]	Time 0.236 (0.248)	Data 0.184 (0.185)	Loss 3.4670 (3.5291)	Prec@1 19.531 (21.891)	Prec@5 50.391 (48.121)
Epoch: [36][3080/7045]	Time 0.105 (0.248)	Data 0.054 (0.185)	Loss 3.3082 (3.5288)	Prec@1 21.484 (21.891)	Prec@5 53.516 (48.129)
Epoch: [36][3090/7045]	Time 0.129 (0.248)	Data 0.078 (0.185)	Loss 3.6854 (3.5289)	Prec@1 21.484 (21.888)	Prec@5 45.312 (48.126)
Epoch: [36][3100/7045]	Time 0.393 (0.248)	Data 0.342 (0.185)	Loss 3.2264 (3.5288)	Prec@1 25.391 (21.884)	Prec@5 50.391 (48.124)
Epoch: [36][3110/7045]	Time 0.183 (0.248)	Data 0.131 (0.185)	Loss 3.3536 (3.5287)	Prec@1 26.172 (21.884)	Prec@5 52.344 (48.127)
Epoch: [36][3120/7045]	Time 0.515 (0.248)	Data 0.464 (0.185)	Loss 3.3168 (3.5286)	Prec@1 23.438 (21.883)	Prec@5 51.562 (48.131)
Epoch: [36][3130/7045]	Time 0.175 (0.248)	Data 0.122 (0.185)	Loss 3.6177 (3.5284)	Prec@1 22.656 (21.885)	Prec@5 48.438 (48.136)
Epoch: [36][3140/7045]	Time 0.281 (0.248)	Data 0.231 (0.185)	Loss 3.5194 (3.5284)	Prec@1 25.391 (21.882)	Prec@5 49.609 (48.131)
Epoch: [36][3150/7045]	Time 0.177 (0.248)	Data 0.126 (0.185)	Loss 3.5862 (3.5284)	Prec@1 20.312 (21.883)	Prec@5 45.703 (48.131)
Epoch: [36][3160/7045]	Time 0.102 (0.248)	Data 0.002 (0.185)	Loss 3.4831 (3.5284)	Prec@1 20.703 (21.883)	Prec@5 49.219 (48.132)
Epoch: [36][3170/7045]	Time 0.115 (0.248)	Data 0.063 (0.185)	Loss 3.7082 (3.5283)	Prec@1 22.266 (21.886)	Prec@5 45.312 (48.136)
Epoch: [36][3180/7045]	Time 0.107 (0.248)	Data 0.002 (0.185)	Loss 3.7498 (3.5284)	Prec@1 21.484 (21.888)	Prec@5 42.578 (48.134)
Epoch: [36][3190/7045]	Time 0.119 (0.248)	Data 0.069 (0.185)	Loss 3.5908 (3.5281)	Prec@1 22.266 (21.892)	Prec@5 45.703 (48.139)
Epoch: [36][3200/7045]	Time 0.321 (0.248)	Data 0.263 (0.185)	Loss 3.5562 (3.5281)	Prec@1 21.875 (21.891)	Prec@5 47.266 (48.140)
Epoch: [36][3210/7045]	Time 0.101 (0.248)	Data 0.049 (0.185)	Loss 3.5844 (3.5281)	Prec@1 20.312 (21.896)	Prec@5 45.312 (48.143)
Epoch: [36][3220/7045]	Time 0.259 (0.248)	Data 0.209 (0.185)	Loss 3.5927 (3.5281)	Prec@1 23.047 (21.901)	Prec@5 49.609 (48.146)
Epoch: [36][3230/7045]	Time 0.125 (0.248)	Data 0.073 (0.185)	Loss 3.5633 (3.5279)	Prec@1 22.266 (21.904)	Prec@5 51.172 (48.152)
Epoch: [36][3240/7045]	Time 0.133 (0.248)	Data 0.082 (0.185)	Loss 3.6604 (3.5280)	Prec@1 19.531 (21.900)	Prec@5 46.094 (48.150)
Epoch: [36][3250/7045]	Time 0.239 (0.248)	Data 0.188 (0.185)	Loss 3.4541 (3.5276)	Prec@1 21.484 (21.903)	Prec@5 50.391 (48.158)
Epoch: [36][3260/7045]	Time 0.195 (0.248)	Data 0.143 (0.185)	Loss 3.5427 (3.5277)	Prec@1 20.703 (21.901)	Prec@5 46.094 (48.153)
Epoch: [36][3270/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 3.5376 (3.5278)	Prec@1 23.828 (21.902)	Prec@5 48.438 (48.151)
Epoch: [36][3280/7045]	Time 0.227 (0.248)	Data 0.175 (0.185)	Loss 3.6075 (3.5278)	Prec@1 20.703 (21.903)	Prec@5 46.875 (48.153)
Epoch: [36][3290/7045]	Time 0.109 (0.248)	Data 0.057 (0.185)	Loss 3.4264 (3.5276)	Prec@1 21.094 (21.904)	Prec@5 51.562 (48.158)
Epoch: [36][3300/7045]	Time 0.245 (0.248)	Data 0.194 (0.185)	Loss 3.5142 (3.5275)	Prec@1 20.703 (21.902)	Prec@5 48.047 (48.161)
Epoch: [36][3310/7045]	Time 0.373 (0.248)	Data 0.321 (0.185)	Loss 3.4271 (3.5276)	Prec@1 21.094 (21.901)	Prec@5 48.828 (48.162)
Epoch: [36][3320/7045]	Time 0.100 (0.248)	Data 0.002 (0.185)	Loss 3.5041 (3.5276)	Prec@1 20.312 (21.901)	Prec@5 47.656 (48.159)
Epoch: [36][3330/7045]	Time 0.598 (0.248)	Data 0.546 (0.185)	Loss 3.6002 (3.5275)	Prec@1 23.047 (21.902)	Prec@5 45.312 (48.162)
Epoch: [36][3340/7045]	Time 0.101 (0.248)	Data 0.042 (0.185)	Loss 3.5759 (3.5275)	Prec@1 21.484 (21.903)	Prec@5 47.656 (48.166)
Epoch: [36][3350/7045]	Time 0.616 (0.248)	Data 0.566 (0.185)	Loss 3.7271 (3.5276)	Prec@1 16.406 (21.904)	Prec@5 46.875 (48.168)
Epoch: [36][3360/7045]	Time 0.377 (0.248)	Data 0.325 (0.185)	Loss 3.5261 (3.5275)	Prec@1 21.875 (21.908)	Prec@5 50.391 (48.174)
Epoch: [36][3370/7045]	Time 0.526 (0.248)	Data 0.468 (0.185)	Loss 3.5246 (3.5274)	Prec@1 21.484 (21.907)	Prec@5 48.828 (48.177)
Epoch: [36][3380/7045]	Time 0.375 (0.248)	Data 0.324 (0.185)	Loss 3.5038 (3.5274)	Prec@1 22.656 (21.906)	Prec@5 46.484 (48.176)
Epoch: [36][3390/7045]	Time 0.365 (0.248)	Data 0.315 (0.185)	Loss 3.4592 (3.5274)	Prec@1 21.875 (21.903)	Prec@5 51.953 (48.175)
Epoch: [36][3400/7045]	Time 0.270 (0.248)	Data 0.218 (0.185)	Loss 3.4898 (3.5274)	Prec@1 27.344 (21.903)	Prec@5 47.266 (48.173)
Epoch: [36][3410/7045]	Time 0.137 (0.248)	Data 0.086 (0.185)	Loss 3.5508 (3.5272)	Prec@1 19.531 (21.905)	Prec@5 51.172 (48.180)
Epoch: [36][3420/7045]	Time 0.314 (0.248)	Data 0.263 (0.185)	Loss 3.3804 (3.5269)	Prec@1 27.734 (21.910)	Prec@5 51.562 (48.187)
Epoch: [36][3430/7045]	Time 0.141 (0.248)	Data 0.090 (0.185)	Loss 3.2546 (3.5270)	Prec@1 25.000 (21.910)	Prec@5 50.000 (48.184)
Epoch: [36][3440/7045]	Time 0.101 (0.248)	Data 0.048 (0.185)	Loss 3.5498 (3.5268)	Prec@1 24.609 (21.911)	Prec@5 49.609 (48.188)
Epoch: [36][3450/7045]	Time 0.194 (0.248)	Data 0.137 (0.185)	Loss 3.5066 (3.5268)	Prec@1 21.094 (21.915)	Prec@5 46.484 (48.187)
Epoch: [36][3460/7045]	Time 0.363 (0.248)	Data 0.312 (0.185)	Loss 3.5044 (3.5268)	Prec@1 26.953 (21.917)	Prec@5 50.000 (48.191)
Epoch: [36][3470/7045]	Time 0.373 (0.248)	Data 0.322 (0.185)	Loss 3.6210 (3.5268)	Prec@1 19.141 (21.918)	Prec@5 46.094 (48.192)
Epoch: [36][3480/7045]	Time 0.364 (0.248)	Data 0.313 (0.185)	Loss 3.5507 (3.5268)	Prec@1 22.656 (21.919)	Prec@5 47.656 (48.192)
Epoch: [36][3490/7045]	Time 0.242 (0.248)	Data 0.191 (0.185)	Loss 3.6027 (3.5269)	Prec@1 19.922 (21.916)	Prec@5 44.922 (48.190)
Epoch: [36][3500/7045]	Time 0.359 (0.248)	Data 0.308 (0.185)	Loss 3.3832 (3.5268)	Prec@1 26.172 (21.917)	Prec@5 55.859 (48.195)
Epoch: [36][3510/7045]	Time 0.150 (0.248)	Data 0.099 (0.185)	Loss 3.5978 (3.5267)	Prec@1 18.750 (21.917)	Prec@5 49.609 (48.199)
Epoch: [36][3520/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 3.4888 (3.5267)	Prec@1 23.438 (21.917)	Prec@5 52.734 (48.200)
Epoch: [36][3530/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 3.7545 (3.5265)	Prec@1 23.438 (21.922)	Prec@5 45.312 (48.209)
Epoch: [36][3540/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 3.5540 (3.5263)	Prec@1 25.781 (21.927)	Prec@5 47.656 (48.214)
Epoch: [36][3550/7045]	Time 0.100 (0.248)	Data 0.043 (0.185)	Loss 3.6766 (3.5263)	Prec@1 18.750 (21.926)	Prec@5 46.094 (48.216)
Epoch: [36][3560/7045]	Time 0.103 (0.248)	Data 0.001 (0.185)	Loss 3.7362 (3.5262)	Prec@1 19.531 (21.929)	Prec@5 42.578 (48.218)
Epoch: [36][3570/7045]	Time 0.308 (0.248)	Data 0.258 (0.185)	Loss 3.4027 (3.5261)	Prec@1 24.219 (21.931)	Prec@5 51.172 (48.224)
Epoch: [36][3580/7045]	Time 0.341 (0.248)	Data 0.290 (0.185)	Loss 3.5603 (3.5260)	Prec@1 19.531 (21.935)	Prec@5 45.703 (48.226)
Epoch: [36][3590/7045]	Time 0.471 (0.248)	Data 0.413 (0.185)	Loss 3.4335 (3.5260)	Prec@1 23.438 (21.935)	Prec@5 51.953 (48.225)
Epoch: [36][3600/7045]	Time 0.123 (0.248)	Data 0.071 (0.185)	Loss 3.6896 (3.5260)	Prec@1 21.875 (21.937)	Prec@5 45.312 (48.226)
Epoch: [36][3610/7045]	Time 0.514 (0.248)	Data 0.461 (0.185)	Loss 3.4457 (3.5259)	Prec@1 22.266 (21.936)	Prec@5 47.266 (48.229)
Epoch: [36][3620/7045]	Time 0.202 (0.248)	Data 0.150 (0.185)	Loss 3.5381 (3.5257)	Prec@1 20.703 (21.938)	Prec@5 48.828 (48.234)
Epoch: [36][3630/7045]	Time 0.495 (0.248)	Data 0.444 (0.185)	Loss 3.5149 (3.5257)	Prec@1 19.922 (21.935)	Prec@5 48.828 (48.236)
Epoch: [36][3640/7045]	Time 0.107 (0.248)	Data 0.001 (0.185)	Loss 3.2893 (3.5255)	Prec@1 28.516 (21.939)	Prec@5 52.344 (48.241)
Epoch: [36][3650/7045]	Time 0.538 (0.248)	Data 0.488 (0.185)	Loss 3.4890 (3.5254)	Prec@1 25.000 (21.942)	Prec@5 48.828 (48.244)
Epoch: [36][3660/7045]	Time 0.101 (0.248)	Data 0.004 (0.185)	Loss 3.4864 (3.5252)	Prec@1 23.828 (21.946)	Prec@5 52.734 (48.243)
Epoch: [36][3670/7045]	Time 0.506 (0.248)	Data 0.453 (0.185)	Loss 3.4877 (3.5251)	Prec@1 19.922 (21.944)	Prec@5 44.141 (48.242)
Epoch: [36][3680/7045]	Time 0.160 (0.248)	Data 0.108 (0.185)	Loss 3.5077 (3.5251)	Prec@1 21.875 (21.945)	Prec@5 50.391 (48.243)
Epoch: [36][3690/7045]	Time 0.520 (0.248)	Data 0.464 (0.185)	Loss 3.5165 (3.5248)	Prec@1 25.000 (21.950)	Prec@5 51.953 (48.251)
Epoch: [36][3700/7045]	Time 0.208 (0.248)	Data 0.151 (0.185)	Loss 3.5906 (3.5247)	Prec@1 20.312 (21.950)	Prec@5 48.828 (48.252)
Epoch: [36][3710/7045]	Time 0.499 (0.248)	Data 0.447 (0.185)	Loss 3.5061 (3.5247)	Prec@1 21.875 (21.952)	Prec@5 44.531 (48.252)
Epoch: [36][3720/7045]	Time 0.147 (0.248)	Data 0.097 (0.185)	Loss 3.4230 (3.5246)	Prec@1 21.484 (21.953)	Prec@5 50.781 (48.251)
Epoch: [36][3730/7045]	Time 0.485 (0.248)	Data 0.434 (0.185)	Loss 3.4768 (3.5245)	Prec@1 24.219 (21.955)	Prec@5 48.828 (48.254)
Epoch: [36][3740/7045]	Time 0.168 (0.248)	Data 0.116 (0.185)	Loss 3.4943 (3.5244)	Prec@1 23.438 (21.957)	Prec@5 48.438 (48.257)
Epoch: [36][3750/7045]	Time 0.493 (0.248)	Data 0.442 (0.185)	Loss 3.6814 (3.5244)	Prec@1 19.531 (21.958)	Prec@5 42.969 (48.256)
Epoch: [36][3760/7045]	Time 0.102 (0.248)	Data 0.002 (0.185)	Loss 3.4762 (3.5244)	Prec@1 21.875 (21.955)	Prec@5 48.438 (48.256)
Epoch: [36][3770/7045]	Time 0.459 (0.248)	Data 0.408 (0.185)	Loss 3.6136 (3.5243)	Prec@1 22.656 (21.955)	Prec@5 48.828 (48.259)
Epoch: [36][3780/7045]	Time 0.188 (0.248)	Data 0.137 (0.185)	Loss 3.4081 (3.5242)	Prec@1 26.953 (21.957)	Prec@5 51.953 (48.261)
Epoch: [36][3790/7045]	Time 0.368 (0.248)	Data 0.318 (0.185)	Loss 3.6335 (3.5242)	Prec@1 19.922 (21.959)	Prec@5 45.312 (48.261)
Epoch: [36][3800/7045]	Time 0.121 (0.248)	Data 0.071 (0.185)	Loss 3.7079 (3.5242)	Prec@1 21.094 (21.957)	Prec@5 47.266 (48.260)
Epoch: [36][3810/7045]	Time 0.203 (0.248)	Data 0.152 (0.185)	Loss 3.6014 (3.5243)	Prec@1 22.266 (21.954)	Prec@5 47.266 (48.262)
Epoch: [36][3820/7045]	Time 0.162 (0.248)	Data 0.112 (0.185)	Loss 3.4853 (3.5241)	Prec@1 21.484 (21.955)	Prec@5 51.172 (48.264)
Epoch: [36][3830/7045]	Time 0.101 (0.248)	Data 0.003 (0.185)	Loss 3.5409 (3.5240)	Prec@1 19.922 (21.953)	Prec@5 50.781 (48.267)
Epoch: [36][3840/7045]	Time 0.125 (0.248)	Data 0.074 (0.185)	Loss 3.6233 (3.5240)	Prec@1 21.875 (21.956)	Prec@5 50.391 (48.269)
Epoch: [36][3850/7045]	Time 0.106 (0.248)	Data 0.003 (0.185)	Loss 3.6039 (3.5239)	Prec@1 21.484 (21.958)	Prec@5 41.797 (48.269)
Epoch: [36][3860/7045]	Time 0.103 (0.248)	Data 0.051 (0.185)	Loss 3.5226 (3.5237)	Prec@1 22.656 (21.959)	Prec@5 46.484 (48.270)
Epoch: [36][3870/7045]	Time 0.102 (0.248)	Data 0.007 (0.185)	Loss 3.6250 (3.5237)	Prec@1 18.750 (21.959)	Prec@5 49.609 (48.267)
Epoch: [36][3880/7045]	Time 0.146 (0.248)	Data 0.094 (0.185)	Loss 3.6588 (3.5238)	Prec@1 22.656 (21.959)	Prec@5 49.609 (48.265)
Epoch: [36][3890/7045]	Time 0.137 (0.248)	Data 0.085 (0.185)	Loss 3.3873 (3.5237)	Prec@1 19.922 (21.961)	Prec@5 50.391 (48.266)
Epoch: [36][3900/7045]	Time 0.507 (0.248)	Data 0.449 (0.185)	Loss 3.7169 (3.5239)	Prec@1 16.406 (21.961)	Prec@5 43.359 (48.262)
Epoch: [36][3910/7045]	Time 0.135 (0.248)	Data 0.085 (0.185)	Loss 3.3367 (3.5238)	Prec@1 27.734 (21.961)	Prec@5 54.297 (48.264)
Epoch: [36][3920/7045]	Time 0.366 (0.248)	Data 0.309 (0.185)	Loss 3.5531 (3.5237)	Prec@1 21.484 (21.967)	Prec@5 44.531 (48.267)
Epoch: [36][3930/7045]	Time 0.193 (0.248)	Data 0.142 (0.185)	Loss 3.4758 (3.5237)	Prec@1 21.094 (21.965)	Prec@5 47.656 (48.270)
Epoch: [36][3940/7045]	Time 0.240 (0.248)	Data 0.188 (0.185)	Loss 3.3895 (3.5236)	Prec@1 23.047 (21.964)	Prec@5 49.609 (48.271)
Epoch: [36][3950/7045]	Time 0.167 (0.248)	Data 0.116 (0.185)	Loss 3.2157 (3.5234)	Prec@1 26.172 (21.967)	Prec@5 57.422 (48.277)
Epoch: [36][3960/7045]	Time 0.117 (0.248)	Data 0.066 (0.185)	Loss 3.6941 (3.5235)	Prec@1 17.578 (21.967)	Prec@5 44.141 (48.274)
Epoch: [36][3970/7045]	Time 0.203 (0.248)	Data 0.150 (0.185)	Loss 3.4306 (3.5233)	Prec@1 21.094 (21.969)	Prec@5 51.172 (48.280)
Epoch: [36][3980/7045]	Time 0.101 (0.248)	Data 0.004 (0.185)	Loss 3.7125 (3.5233)	Prec@1 18.359 (21.971)	Prec@5 48.047 (48.284)
Epoch: [36][3990/7045]	Time 0.100 (0.248)	Data 0.046 (0.185)	Loss 3.6015 (3.5232)	Prec@1 21.875 (21.973)	Prec@5 44.531 (48.285)
Epoch: [36][4000/7045]	Time 0.101 (0.248)	Data 0.003 (0.185)	Loss 3.4270 (3.5232)	Prec@1 20.312 (21.972)	Prec@5 48.047 (48.284)
Epoch: [36][4010/7045]	Time 0.278 (0.248)	Data 0.227 (0.185)	Loss 3.4090 (3.5231)	Prec@1 23.047 (21.972)	Prec@5 47.656 (48.285)
Epoch: [36][4020/7045]	Time 0.102 (0.248)	Data 0.046 (0.185)	Loss 3.5106 (3.5231)	Prec@1 24.609 (21.973)	Prec@5 47.656 (48.286)
Epoch: [36][4030/7045]	Time 0.306 (0.248)	Data 0.256 (0.185)	Loss 3.5177 (3.5230)	Prec@1 21.484 (21.974)	Prec@5 49.219 (48.288)
Epoch: [36][4040/7045]	Time 0.194 (0.248)	Data 0.143 (0.185)	Loss 3.2667 (3.5229)	Prec@1 25.000 (21.977)	Prec@5 57.031 (48.290)
Epoch: [36][4050/7045]	Time 0.231 (0.248)	Data 0.179 (0.185)	Loss 3.4756 (3.5229)	Prec@1 23.047 (21.978)	Prec@5 49.219 (48.287)
Epoch: [36][4060/7045]	Time 0.130 (0.248)	Data 0.078 (0.185)	Loss 3.5820 (3.5229)	Prec@1 19.141 (21.976)	Prec@5 48.047 (48.288)
Epoch: [36][4070/7045]	Time 0.208 (0.248)	Data 0.155 (0.185)	Loss 3.5505 (3.5228)	Prec@1 23.047 (21.979)	Prec@5 50.391 (48.289)
Epoch: [36][4080/7045]	Time 0.102 (0.248)	Data 0.004 (0.185)	Loss 3.6260 (3.5228)	Prec@1 21.875 (21.978)	Prec@5 45.312 (48.289)
Epoch: [36][4090/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 3.5546 (3.5227)	Prec@1 21.094 (21.979)	Prec@5 50.391 (48.292)
Epoch: [36][4100/7045]	Time 0.235 (0.248)	Data 0.181 (0.185)	Loss 3.4625 (3.5227)	Prec@1 27.344 (21.981)	Prec@5 49.219 (48.295)
Epoch: [36][4110/7045]	Time 0.311 (0.248)	Data 0.259 (0.185)	Loss 3.5774 (3.5224)	Prec@1 21.875 (21.983)	Prec@5 48.828 (48.301)
Epoch: [36][4120/7045]	Time 0.172 (0.248)	Data 0.121 (0.185)	Loss 3.5753 (3.5222)	Prec@1 22.266 (21.986)	Prec@5 45.312 (48.307)
Epoch: [36][4130/7045]	Time 0.163 (0.248)	Data 0.111 (0.185)	Loss 3.3901 (3.5221)	Prec@1 24.219 (21.986)	Prec@5 49.219 (48.308)
Epoch: [36][4140/7045]	Time 0.117 (0.248)	Data 0.065 (0.185)	Loss 3.5703 (3.5220)	Prec@1 17.188 (21.984)	Prec@5 47.656 (48.309)
Epoch: [36][4150/7045]	Time 0.101 (0.248)	Data 0.006 (0.185)	Loss 3.4685 (3.5220)	Prec@1 19.531 (21.982)	Prec@5 49.609 (48.312)
Epoch: [36][4160/7045]	Time 0.174 (0.248)	Data 0.122 (0.185)	Loss 3.5028 (3.5219)	Prec@1 20.312 (21.985)	Prec@5 51.562 (48.314)
Epoch: [36][4170/7045]	Time 0.103 (0.248)	Data 0.001 (0.185)	Loss 3.4725 (3.5218)	Prec@1 25.000 (21.986)	Prec@5 49.609 (48.317)
Epoch: [36][4180/7045]	Time 0.448 (0.248)	Data 0.396 (0.185)	Loss 3.5818 (3.5219)	Prec@1 24.219 (21.986)	Prec@5 47.266 (48.314)
Epoch: [36][4190/7045]	Time 0.109 (0.248)	Data 0.058 (0.185)	Loss 3.2847 (3.5217)	Prec@1 24.609 (21.989)	Prec@5 52.344 (48.319)
Epoch: [36][4200/7045]	Time 0.547 (0.248)	Data 0.495 (0.185)	Loss 3.6349 (3.5216)	Prec@1 21.484 (21.992)	Prec@5 47.266 (48.320)
Epoch: [36][4210/7045]	Time 0.273 (0.248)	Data 0.216 (0.185)	Loss 3.5996 (3.5216)	Prec@1 20.312 (21.993)	Prec@5 48.438 (48.321)
Epoch: [36][4220/7045]	Time 0.542 (0.248)	Data 0.492 (0.185)	Loss 3.5040 (3.5214)	Prec@1 21.094 (21.994)	Prec@5 49.219 (48.325)
Epoch: [36][4230/7045]	Time 0.235 (0.248)	Data 0.176 (0.185)	Loss 3.3330 (3.5214)	Prec@1 25.000 (21.995)	Prec@5 52.734 (48.328)
Epoch: [36][4240/7045]	Time 0.294 (0.248)	Data 0.243 (0.185)	Loss 3.5602 (3.5214)	Prec@1 25.000 (21.995)	Prec@5 48.438 (48.329)
Epoch: [36][4250/7045]	Time 0.241 (0.248)	Data 0.190 (0.185)	Loss 3.4859 (3.5213)	Prec@1 23.047 (21.998)	Prec@5 48.047 (48.329)
Epoch: [36][4260/7045]	Time 0.278 (0.248)	Data 0.226 (0.185)	Loss 3.5454 (3.5213)	Prec@1 21.484 (22.000)	Prec@5 49.219 (48.331)
Epoch: [36][4270/7045]	Time 0.102 (0.248)	Data 0.048 (0.185)	Loss 3.3916 (3.5213)	Prec@1 21.875 (22.000)	Prec@5 54.688 (48.331)
Epoch: [36][4280/7045]	Time 0.111 (0.248)	Data 0.001 (0.185)	Loss 3.5714 (3.5213)	Prec@1 21.875 (22.001)	Prec@5 49.609 (48.331)
Epoch: [36][4290/7045]	Time 0.101 (0.248)	Data 0.007 (0.185)	Loss 3.4456 (3.5212)	Prec@1 22.266 (22.002)	Prec@5 50.391 (48.333)
Epoch: [36][4300/7045]	Time 0.102 (0.248)	Data 0.008 (0.185)	Loss 3.4042 (3.5211)	Prec@1 25.391 (22.005)	Prec@5 53.906 (48.336)
Epoch: [36][4310/7045]	Time 0.101 (0.248)	Data 0.007 (0.185)	Loss 3.6583 (3.5210)	Prec@1 20.312 (22.006)	Prec@5 43.750 (48.335)
Epoch: [36][4320/7045]	Time 0.206 (0.248)	Data 0.155 (0.185)	Loss 3.5599 (3.5211)	Prec@1 23.047 (22.005)	Prec@5 49.219 (48.333)
Epoch: [36][4330/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 3.6470 (3.5210)	Prec@1 22.656 (22.009)	Prec@5 51.172 (48.338)
Epoch: [36][4340/7045]	Time 0.318 (0.248)	Data 0.266 (0.185)	Loss 3.6315 (3.5210)	Prec@1 19.141 (22.009)	Prec@5 43.750 (48.337)
Epoch: [36][4350/7045]	Time 0.111 (0.248)	Data 0.059 (0.185)	Loss 3.5897 (3.5209)	Prec@1 19.922 (22.008)	Prec@5 46.484 (48.337)
Epoch: [36][4360/7045]	Time 0.276 (0.248)	Data 0.225 (0.185)	Loss 3.4619 (3.5208)	Prec@1 19.141 (22.008)	Prec@5 49.219 (48.336)
Epoch: [36][4370/7045]	Time 0.104 (0.248)	Data 0.001 (0.185)	Loss 3.3862 (3.5209)	Prec@1 22.656 (22.006)	Prec@5 50.000 (48.335)
Epoch: [36][4380/7045]	Time 0.671 (0.248)	Data 0.611 (0.185)	Loss 3.4870 (3.5208)	Prec@1 26.172 (22.010)	Prec@5 48.828 (48.338)
Epoch: [36][4390/7045]	Time 0.150 (0.248)	Data 0.098 (0.185)	Loss 3.6142 (3.5209)	Prec@1 19.922 (22.007)	Prec@5 44.922 (48.335)
Epoch: [36][4400/7045]	Time 0.385 (0.248)	Data 0.334 (0.185)	Loss 3.4173 (3.5208)	Prec@1 22.266 (22.006)	Prec@5 51.562 (48.336)
Epoch: [36][4410/7045]	Time 0.183 (0.248)	Data 0.132 (0.185)	Loss 3.3939 (3.5207)	Prec@1 22.656 (22.007)	Prec@5 50.391 (48.338)
Epoch: [36][4420/7045]	Time 0.156 (0.248)	Data 0.103 (0.185)	Loss 3.8231 (3.5207)	Prec@1 17.969 (22.009)	Prec@5 39.062 (48.339)
Epoch: [36][4430/7045]	Time 0.406 (0.248)	Data 0.355 (0.185)	Loss 3.4410 (3.5207)	Prec@1 24.219 (22.008)	Prec@5 45.703 (48.339)
Epoch: [36][4440/7045]	Time 0.577 (0.248)	Data 0.524 (0.185)	Loss 3.7862 (3.5206)	Prec@1 20.312 (22.010)	Prec@5 41.406 (48.339)
Epoch: [36][4450/7045]	Time 0.112 (0.248)	Data 0.059 (0.185)	Loss 3.4841 (3.5205)	Prec@1 21.484 (22.011)	Prec@5 47.266 (48.342)
Epoch: [36][4460/7045]	Time 0.465 (0.248)	Data 0.415 (0.185)	Loss 3.3545 (3.5204)	Prec@1 23.438 (22.011)	Prec@5 54.297 (48.345)
Epoch: [36][4470/7045]	Time 0.344 (0.248)	Data 0.293 (0.185)	Loss 3.4643 (3.5203)	Prec@1 26.172 (22.013)	Prec@5 54.297 (48.347)
Epoch: [36][4480/7045]	Time 0.208 (0.248)	Data 0.157 (0.185)	Loss 3.5603 (3.5203)	Prec@1 22.656 (22.016)	Prec@5 50.000 (48.348)
Epoch: [36][4490/7045]	Time 0.122 (0.248)	Data 0.065 (0.185)	Loss 3.5750 (3.5201)	Prec@1 23.047 (22.020)	Prec@5 49.609 (48.355)
Epoch: [36][4500/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 3.3086 (3.5198)	Prec@1 24.609 (22.025)	Prec@5 53.906 (48.360)
Epoch: [36][4510/7045]	Time 0.232 (0.248)	Data 0.180 (0.185)	Loss 3.4188 (3.5197)	Prec@1 18.359 (22.025)	Prec@5 46.484 (48.362)
Epoch: [36][4520/7045]	Time 0.225 (0.248)	Data 0.174 (0.185)	Loss 3.4790 (3.5196)	Prec@1 24.219 (22.028)	Prec@5 51.953 (48.365)
Epoch: [36][4530/7045]	Time 0.156 (0.248)	Data 0.104 (0.185)	Loss 3.4242 (3.5195)	Prec@1 27.344 (22.031)	Prec@5 49.609 (48.368)
Epoch: [36][4540/7045]	Time 0.634 (0.248)	Data 0.583 (0.185)	Loss 3.5067 (3.5194)	Prec@1 23.047 (22.032)	Prec@5 51.953 (48.368)
Epoch: [36][4550/7045]	Time 0.120 (0.248)	Data 0.068 (0.185)	Loss 3.5217 (3.5194)	Prec@1 20.703 (22.033)	Prec@5 50.781 (48.369)
Epoch: [36][4560/7045]	Time 0.429 (0.248)	Data 0.377 (0.185)	Loss 3.6758 (3.5193)	Prec@1 17.578 (22.035)	Prec@5 42.188 (48.371)
Epoch: [36][4570/7045]	Time 0.141 (0.248)	Data 0.089 (0.185)	Loss 3.5054 (3.5193)	Prec@1 21.094 (22.034)	Prec@5 49.219 (48.371)
Epoch: [36][4580/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 3.3706 (3.5192)	Prec@1 26.562 (22.037)	Prec@5 51.172 (48.375)
Epoch: [36][4590/7045]	Time 0.219 (0.248)	Data 0.168 (0.185)	Loss 3.4442 (3.5191)	Prec@1 23.047 (22.039)	Prec@5 48.438 (48.375)
Epoch: [36][4600/7045]	Time 0.102 (0.248)	Data 0.050 (0.185)	Loss 3.6549 (3.5190)	Prec@1 17.969 (22.038)	Prec@5 49.219 (48.379)
Epoch: [36][4610/7045]	Time 0.168 (0.248)	Data 0.115 (0.185)	Loss 3.4723 (3.5192)	Prec@1 19.922 (22.034)	Prec@5 49.609 (48.375)
Epoch: [36][4620/7045]	Time 0.102 (0.248)	Data 0.050 (0.185)	Loss 3.4567 (3.5192)	Prec@1 23.047 (22.034)	Prec@5 49.609 (48.375)
Epoch: [36][4630/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 3.6907 (3.5193)	Prec@1 18.750 (22.031)	Prec@5 44.531 (48.373)
Epoch: [36][4640/7045]	Time 0.241 (0.248)	Data 0.191 (0.185)	Loss 3.5818 (3.5193)	Prec@1 20.312 (22.032)	Prec@5 44.922 (48.372)
Epoch: [36][4650/7045]	Time 0.260 (0.248)	Data 0.208 (0.185)	Loss 3.4985 (3.5193)	Prec@1 24.219 (22.033)	Prec@5 50.000 (48.374)
Epoch: [36][4660/7045]	Time 0.346 (0.248)	Data 0.294 (0.185)	Loss 3.6226 (3.5192)	Prec@1 19.531 (22.035)	Prec@5 46.484 (48.376)
Epoch: [36][4670/7045]	Time 0.272 (0.248)	Data 0.220 (0.185)	Loss 3.4774 (3.5192)	Prec@1 24.219 (22.037)	Prec@5 45.703 (48.376)
Epoch: [36][4680/7045]	Time 0.111 (0.248)	Data 0.060 (0.185)	Loss 3.4359 (3.5191)	Prec@1 26.172 (22.038)	Prec@5 50.000 (48.376)
Epoch: [36][4690/7045]	Time 0.102 (0.248)	Data 0.050 (0.185)	Loss 3.4769 (3.5190)	Prec@1 19.141 (22.037)	Prec@5 50.781 (48.377)
Epoch: [36][4700/7045]	Time 0.105 (0.248)	Data 0.001 (0.185)	Loss 3.6006 (3.5189)	Prec@1 18.750 (22.039)	Prec@5 47.266 (48.381)
Epoch: [36][4710/7045]	Time 0.103 (0.248)	Data 0.001 (0.185)	Loss 3.6992 (3.5188)	Prec@1 20.312 (22.043)	Prec@5 46.094 (48.382)
Epoch: [36][4720/7045]	Time 0.156 (0.248)	Data 0.105 (0.185)	Loss 3.4080 (3.5187)	Prec@1 23.438 (22.044)	Prec@5 50.781 (48.385)
Epoch: [36][4730/7045]	Time 0.111 (0.248)	Data 0.059 (0.185)	Loss 3.5042 (3.5188)	Prec@1 19.922 (22.042)	Prec@5 47.266 (48.382)
Epoch: [36][4740/7045]	Time 0.109 (0.248)	Data 0.001 (0.185)	Loss 3.7010 (3.5187)	Prec@1 20.703 (22.040)	Prec@5 42.188 (48.381)
Epoch: [36][4750/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 3.5413 (3.5186)	Prec@1 19.922 (22.041)	Prec@5 46.875 (48.381)
Epoch: [36][4760/7045]	Time 0.161 (0.248)	Data 0.104 (0.185)	Loss 3.5390 (3.5186)	Prec@1 21.094 (22.042)	Prec@5 45.312 (48.382)
Epoch: [36][4770/7045]	Time 0.299 (0.248)	Data 0.247 (0.185)	Loss 3.6220 (3.5187)	Prec@1 23.047 (22.040)	Prec@5 43.750 (48.378)
Epoch: [36][4780/7045]	Time 0.162 (0.248)	Data 0.106 (0.185)	Loss 3.3559 (3.5186)	Prec@1 23.047 (22.040)	Prec@5 52.734 (48.377)
Epoch: [36][4790/7045]	Time 0.531 (0.248)	Data 0.473 (0.185)	Loss 3.3752 (3.5185)	Prec@1 26.172 (22.040)	Prec@5 49.609 (48.380)
Epoch: [36][4800/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 3.4926 (3.5184)	Prec@1 22.656 (22.042)	Prec@5 48.828 (48.383)
Epoch: [36][4810/7045]	Time 0.409 (0.248)	Data 0.358 (0.185)	Loss 3.4052 (3.5186)	Prec@1 26.562 (22.043)	Prec@5 51.562 (48.383)
Epoch: [36][4820/7045]	Time 0.213 (0.248)	Data 0.161 (0.185)	Loss 3.5814 (3.5186)	Prec@1 23.047 (22.044)	Prec@5 45.312 (48.382)
Epoch: [36][4830/7045]	Time 0.112 (0.248)	Data 0.008 (0.185)	Loss 3.6555 (3.5186)	Prec@1 21.094 (22.043)	Prec@5 45.703 (48.380)
Epoch: [36][4840/7045]	Time 0.106 (0.248)	Data 0.052 (0.185)	Loss 3.4010 (3.5186)	Prec@1 19.922 (22.043)	Prec@5 47.656 (48.378)
Epoch: [36][4850/7045]	Time 0.101 (0.248)	Data 0.003 (0.185)	Loss 3.3065 (3.5185)	Prec@1 25.000 (22.041)	Prec@5 53.516 (48.379)
Epoch: [36][4860/7045]	Time 0.343 (0.248)	Data 0.291 (0.185)	Loss 3.4659 (3.5185)	Prec@1 23.828 (22.042)	Prec@5 47.656 (48.377)
Epoch: [36][4870/7045]	Time 0.103 (0.248)	Data 0.051 (0.185)	Loss 3.4108 (3.5184)	Prec@1 21.094 (22.043)	Prec@5 51.172 (48.379)
Epoch: [36][4880/7045]	Time 0.435 (0.248)	Data 0.384 (0.185)	Loss 3.3115 (3.5183)	Prec@1 26.562 (22.044)	Prec@5 52.344 (48.381)
Epoch: [36][4890/7045]	Time 0.395 (0.248)	Data 0.338 (0.185)	Loss 3.6479 (3.5183)	Prec@1 21.484 (22.043)	Prec@5 45.312 (48.382)
Epoch: [36][4900/7045]	Time 0.347 (0.248)	Data 0.297 (0.185)	Loss 3.3988 (3.5181)	Prec@1 19.922 (22.046)	Prec@5 55.078 (48.386)
Epoch: [36][4910/7045]	Time 0.255 (0.248)	Data 0.198 (0.185)	Loss 3.5375 (3.5179)	Prec@1 20.312 (22.048)	Prec@5 45.312 (48.389)
Epoch: [36][4920/7045]	Time 0.188 (0.248)	Data 0.137 (0.185)	Loss 3.3956 (3.5177)	Prec@1 22.266 (22.051)	Prec@5 57.422 (48.394)
Epoch: [36][4930/7045]	Time 0.347 (0.248)	Data 0.296 (0.185)	Loss 3.5551 (3.5176)	Prec@1 23.828 (22.052)	Prec@5 48.047 (48.397)
Epoch: [36][4940/7045]	Time 0.099 (0.248)	Data 0.001 (0.185)	Loss 3.3764 (3.5176)	Prec@1 22.656 (22.052)	Prec@5 53.125 (48.399)
Epoch: [36][4950/7045]	Time 0.401 (0.248)	Data 0.350 (0.185)	Loss 3.7609 (3.5175)	Prec@1 19.141 (22.052)	Prec@5 41.797 (48.398)
Epoch: [36][4960/7045]	Time 0.413 (0.248)	Data 0.361 (0.185)	Loss 3.3701 (3.5175)	Prec@1 22.266 (22.054)	Prec@5 52.734 (48.399)
Epoch: [36][4970/7045]	Time 0.237 (0.248)	Data 0.187 (0.185)	Loss 3.5544 (3.5175)	Prec@1 19.922 (22.053)	Prec@5 45.703 (48.399)
Epoch: [36][4980/7045]	Time 0.526 (0.248)	Data 0.476 (0.185)	Loss 3.5653 (3.5174)	Prec@1 21.484 (22.053)	Prec@5 50.391 (48.401)
Epoch: [36][4990/7045]	Time 0.184 (0.248)	Data 0.132 (0.185)	Loss 3.4542 (3.5174)	Prec@1 19.141 (22.052)	Prec@5 51.562 (48.399)
Epoch: [36][5000/7045]	Time 0.352 (0.248)	Data 0.302 (0.185)	Loss 3.6289 (3.5174)	Prec@1 22.266 (22.053)	Prec@5 47.266 (48.401)
Epoch: [36][5010/7045]	Time 0.129 (0.248)	Data 0.078 (0.185)	Loss 3.4357 (3.5174)	Prec@1 20.703 (22.055)	Prec@5 49.609 (48.402)
Epoch: [36][5020/7045]	Time 0.101 (0.248)	Data 0.007 (0.185)	Loss 3.5018 (3.5174)	Prec@1 23.828 (22.055)	Prec@5 50.781 (48.403)
Epoch: [36][5030/7045]	Time 0.101 (0.248)	Data 0.049 (0.185)	Loss 3.4069 (3.5173)	Prec@1 24.219 (22.058)	Prec@5 52.344 (48.408)
Epoch: [36][5040/7045]	Time 0.124 (0.248)	Data 0.073 (0.185)	Loss 3.4179 (3.5173)	Prec@1 24.219 (22.058)	Prec@5 50.781 (48.407)
Epoch: [36][5050/7045]	Time 0.102 (0.248)	Data 0.006 (0.185)	Loss 3.5876 (3.5173)	Prec@1 22.266 (22.056)	Prec@5 47.656 (48.406)
Epoch: [36][5060/7045]	Time 0.107 (0.248)	Data 0.056 (0.185)	Loss 3.3264 (3.5173)	Prec@1 25.781 (22.057)	Prec@5 51.953 (48.410)
Epoch: [36][5070/7045]	Time 0.243 (0.248)	Data 0.193 (0.185)	Loss 3.4343 (3.5172)	Prec@1 24.609 (22.058)	Prec@5 52.344 (48.408)
Epoch: [36][5080/7045]	Time 0.111 (0.248)	Data 0.060 (0.185)	Loss 3.2463 (3.5171)	Prec@1 28.125 (22.061)	Prec@5 51.562 (48.409)
Epoch: [36][5090/7045]	Time 0.580 (0.248)	Data 0.529 (0.185)	Loss 3.4432 (3.5170)	Prec@1 25.391 (22.062)	Prec@5 48.438 (48.411)
Epoch: [36][5100/7045]	Time 0.107 (0.248)	Data 0.049 (0.185)	Loss 3.6451 (3.5170)	Prec@1 23.047 (22.063)	Prec@5 45.312 (48.410)
Epoch: [36][5110/7045]	Time 0.657 (0.248)	Data 0.598 (0.185)	Loss 3.4666 (3.5170)	Prec@1 22.656 (22.061)	Prec@5 46.484 (48.412)
Epoch: [36][5120/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 3.4939 (3.5170)	Prec@1 18.359 (22.062)	Prec@5 47.656 (48.412)
Epoch: [36][5130/7045]	Time 0.605 (0.248)	Data 0.555 (0.185)	Loss 3.4108 (3.5170)	Prec@1 23.047 (22.060)	Prec@5 51.172 (48.411)
Epoch: [36][5140/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 3.3534 (3.5169)	Prec@1 21.484 (22.060)	Prec@5 51.562 (48.414)
Epoch: [36][5150/7045]	Time 0.627 (0.248)	Data 0.575 (0.185)	Loss 3.6651 (3.5168)	Prec@1 19.141 (22.060)	Prec@5 47.266 (48.415)
Epoch: [36][5160/7045]	Time 0.098 (0.248)	Data 0.045 (0.185)	Loss 3.7519 (3.5168)	Prec@1 18.359 (22.059)	Prec@5 44.922 (48.414)
Epoch: [36][5170/7045]	Time 0.638 (0.248)	Data 0.587 (0.185)	Loss 3.3852 (3.5168)	Prec@1 25.000 (22.060)	Prec@5 50.000 (48.415)
Epoch: [36][5180/7045]	Time 0.228 (0.248)	Data 0.177 (0.185)	Loss 3.5522 (3.5167)	Prec@1 24.219 (22.063)	Prec@5 51.562 (48.417)
Epoch: [36][5190/7045]	Time 0.209 (0.248)	Data 0.159 (0.185)	Loss 3.5417 (3.5167)	Prec@1 21.484 (22.064)	Prec@5 47.656 (48.418)
Epoch: [36][5200/7045]	Time 0.103 (0.248)	Data 0.047 (0.185)	Loss 3.4644 (3.5166)	Prec@1 19.922 (22.066)	Prec@5 48.828 (48.417)
Epoch: [36][5210/7045]	Time 0.116 (0.248)	Data 0.066 (0.185)	Loss 3.4742 (3.5166)	Prec@1 21.484 (22.067)	Prec@5 51.172 (48.419)
Epoch: [36][5220/7045]	Time 0.829 (0.248)	Data 0.778 (0.185)	Loss 3.4388 (3.5165)	Prec@1 22.266 (22.066)	Prec@5 51.562 (48.417)
Epoch: [36][5230/7045]	Time 0.101 (0.248)	Data 0.003 (0.185)	Loss 3.4320 (3.5164)	Prec@1 24.219 (22.066)	Prec@5 48.047 (48.418)
Epoch: [36][5240/7045]	Time 0.478 (0.248)	Data 0.426 (0.185)	Loss 3.6285 (3.5166)	Prec@1 21.094 (22.063)	Prec@5 44.141 (48.415)
Epoch: [36][5250/7045]	Time 0.188 (0.248)	Data 0.137 (0.185)	Loss 3.3405 (3.5166)	Prec@1 21.875 (22.063)	Prec@5 51.562 (48.416)
Epoch: [36][5260/7045]	Time 0.427 (0.248)	Data 0.375 (0.185)	Loss 3.5077 (3.5166)	Prec@1 19.922 (22.061)	Prec@5 48.438 (48.416)
Epoch: [36][5270/7045]	Time 0.361 (0.248)	Data 0.311 (0.185)	Loss 3.4756 (3.5167)	Prec@1 28.125 (22.063)	Prec@5 47.656 (48.416)
Epoch: [36][5280/7045]	Time 0.285 (0.248)	Data 0.233 (0.185)	Loss 3.5034 (3.5166)	Prec@1 21.875 (22.065)	Prec@5 46.875 (48.419)
Epoch: [36][5290/7045]	Time 0.237 (0.248)	Data 0.187 (0.185)	Loss 3.3867 (3.5167)	Prec@1 21.875 (22.058)	Prec@5 57.031 (48.417)
Epoch: [36][5300/7045]	Time 0.110 (0.248)	Data 0.058 (0.185)	Loss 3.5628 (3.5167)	Prec@1 22.266 (22.057)	Prec@5 47.656 (48.416)
Epoch: [36][5310/7045]	Time 0.144 (0.248)	Data 0.093 (0.185)	Loss 3.3845 (3.5167)	Prec@1 21.094 (22.057)	Prec@5 51.562 (48.417)
Epoch: [36][5320/7045]	Time 0.586 (0.248)	Data 0.534 (0.185)	Loss 3.3328 (3.5165)	Prec@1 22.656 (22.062)	Prec@5 54.297 (48.423)
Epoch: [36][5330/7045]	Time 0.107 (0.248)	Data 0.001 (0.185)	Loss 3.2576 (3.5164)	Prec@1 25.781 (22.063)	Prec@5 54.688 (48.425)
Epoch: [36][5340/7045]	Time 0.651 (0.248)	Data 0.601 (0.185)	Loss 3.2809 (3.5163)	Prec@1 26.953 (22.068)	Prec@5 54.297 (48.428)
Epoch: [36][5350/7045]	Time 0.198 (0.248)	Data 0.148 (0.185)	Loss 3.5252 (3.5162)	Prec@1 23.047 (22.068)	Prec@5 48.438 (48.430)
Epoch: [36][5360/7045]	Time 0.279 (0.248)	Data 0.229 (0.185)	Loss 3.3489 (3.5162)	Prec@1 23.047 (22.068)	Prec@5 51.172 (48.430)
Epoch: [36][5370/7045]	Time 0.305 (0.248)	Data 0.248 (0.185)	Loss 3.5397 (3.5161)	Prec@1 22.656 (22.070)	Prec@5 50.000 (48.433)
Epoch: [36][5380/7045]	Time 0.267 (0.248)	Data 0.216 (0.185)	Loss 3.4021 (3.5160)	Prec@1 24.219 (22.071)	Prec@5 50.781 (48.433)
Epoch: [36][5390/7045]	Time 0.104 (0.248)	Data 0.052 (0.185)	Loss 3.5590 (3.5159)	Prec@1 21.094 (22.073)	Prec@5 44.922 (48.433)
Epoch: [36][5400/7045]	Time 0.142 (0.248)	Data 0.090 (0.185)	Loss 3.5266 (3.5159)	Prec@1 24.219 (22.073)	Prec@5 46.484 (48.434)
Epoch: [36][5410/7045]	Time 0.288 (0.248)	Data 0.230 (0.185)	Loss 3.4097 (3.5159)	Prec@1 23.438 (22.073)	Prec@5 52.344 (48.434)
Epoch: [36][5420/7045]	Time 0.106 (0.248)	Data 0.054 (0.185)	Loss 3.2623 (3.5159)	Prec@1 26.172 (22.075)	Prec@5 55.078 (48.437)
Epoch: [36][5430/7045]	Time 0.102 (0.248)	Data 0.011 (0.185)	Loss 3.6030 (3.5158)	Prec@1 19.531 (22.076)	Prec@5 48.047 (48.440)
Epoch: [36][5440/7045]	Time 0.105 (0.248)	Data 0.054 (0.185)	Loss 3.5285 (3.5157)	Prec@1 22.266 (22.079)	Prec@5 48.828 (48.443)
Epoch: [36][5450/7045]	Time 0.102 (0.248)	Data 0.008 (0.185)	Loss 3.4424 (3.5156)	Prec@1 22.266 (22.081)	Prec@5 48.828 (48.444)
Epoch: [36][5460/7045]	Time 0.107 (0.248)	Data 0.054 (0.185)	Loss 3.2646 (3.5155)	Prec@1 24.219 (22.082)	Prec@5 50.000 (48.446)
Epoch: [36][5470/7045]	Time 0.103 (0.248)	Data 0.048 (0.185)	Loss 3.6341 (3.5155)	Prec@1 22.266 (22.082)	Prec@5 46.094 (48.447)
Epoch: [36][5480/7045]	Time 0.107 (0.248)	Data 0.055 (0.185)	Loss 3.4634 (3.5154)	Prec@1 25.781 (22.084)	Prec@5 50.781 (48.451)
Epoch: [36][5490/7045]	Time 0.206 (0.248)	Data 0.155 (0.185)	Loss 3.4453 (3.5152)	Prec@1 27.344 (22.086)	Prec@5 48.828 (48.457)
Epoch: [36][5500/7045]	Time 0.285 (0.248)	Data 0.233 (0.185)	Loss 3.5476 (3.5151)	Prec@1 20.312 (22.086)	Prec@5 50.781 (48.459)
Epoch: [36][5510/7045]	Time 0.101 (0.248)	Data 0.014 (0.185)	Loss 3.4725 (3.5151)	Prec@1 18.750 (22.085)	Prec@5 48.438 (48.457)
Epoch: [36][5520/7045]	Time 0.309 (0.248)	Data 0.258 (0.185)	Loss 3.5111 (3.5151)	Prec@1 22.656 (22.086)	Prec@5 43.359 (48.458)
Epoch: [36][5530/7045]	Time 0.102 (0.248)	Data 0.051 (0.185)	Loss 3.2311 (3.5150)	Prec@1 27.344 (22.086)	Prec@5 54.688 (48.459)
Epoch: [36][5540/7045]	Time 0.102 (0.248)	Data 0.049 (0.185)	Loss 3.4919 (3.5149)	Prec@1 21.094 (22.088)	Prec@5 49.609 (48.461)
Epoch: [36][5550/7045]	Time 0.144 (0.248)	Data 0.093 (0.185)	Loss 3.5653 (3.5148)	Prec@1 21.094 (22.088)	Prec@5 42.969 (48.461)
Epoch: [36][5560/7045]	Time 0.111 (0.248)	Data 0.060 (0.185)	Loss 3.5082 (3.5150)	Prec@1 19.922 (22.086)	Prec@5 47.656 (48.458)
Epoch: [36][5570/7045]	Time 0.109 (0.248)	Data 0.057 (0.185)	Loss 3.6083 (3.5149)	Prec@1 20.703 (22.087)	Prec@5 47.656 (48.462)
Epoch: [36][5580/7045]	Time 0.254 (0.248)	Data 0.203 (0.185)	Loss 3.3075 (3.5150)	Prec@1 27.344 (22.085)	Prec@5 51.562 (48.458)
Epoch: [36][5590/7045]	Time 0.101 (0.248)	Data 0.050 (0.185)	Loss 3.4416 (3.5151)	Prec@1 21.875 (22.083)	Prec@5 51.172 (48.457)
Epoch: [36][5600/7045]	Time 0.365 (0.248)	Data 0.306 (0.185)	Loss 3.3579 (3.5149)	Prec@1 25.000 (22.087)	Prec@5 48.828 (48.461)
Epoch: [36][5610/7045]	Time 0.109 (0.248)	Data 0.057 (0.185)	Loss 3.5181 (3.5149)	Prec@1 22.656 (22.087)	Prec@5 49.219 (48.462)
Epoch: [36][5620/7045]	Time 0.426 (0.248)	Data 0.369 (0.185)	Loss 3.6007 (3.5146)	Prec@1 19.141 (22.091)	Prec@5 46.484 (48.467)
Epoch: [36][5630/7045]	Time 0.261 (0.248)	Data 0.211 (0.185)	Loss 3.5675 (3.5146)	Prec@1 20.312 (22.091)	Prec@5 51.953 (48.469)
Epoch: [36][5640/7045]	Time 0.457 (0.248)	Data 0.406 (0.185)	Loss 3.7936 (3.5146)	Prec@1 16.406 (22.089)	Prec@5 46.875 (48.472)
Epoch: [36][5650/7045]	Time 0.128 (0.248)	Data 0.076 (0.185)	Loss 3.6358 (3.5146)	Prec@1 20.703 (22.088)	Prec@5 46.875 (48.471)
Epoch: [36][5660/7045]	Time 0.335 (0.248)	Data 0.283 (0.185)	Loss 3.4760 (3.5147)	Prec@1 19.922 (22.087)	Prec@5 49.609 (48.469)
Epoch: [36][5670/7045]	Time 0.240 (0.248)	Data 0.185 (0.185)	Loss 3.5344 (3.5147)	Prec@1 25.000 (22.087)	Prec@5 48.828 (48.468)
Epoch: [36][5680/7045]	Time 0.194 (0.248)	Data 0.142 (0.185)	Loss 3.5654 (3.5147)	Prec@1 23.047 (22.088)	Prec@5 49.609 (48.469)
Epoch: [36][5690/7045]	Time 0.407 (0.248)	Data 0.355 (0.185)	Loss 3.3199 (3.5146)	Prec@1 25.000 (22.087)	Prec@5 51.953 (48.468)
Epoch: [36][5700/7045]	Time 0.202 (0.248)	Data 0.151 (0.185)	Loss 3.4967 (3.5146)	Prec@1 23.828 (22.088)	Prec@5 46.094 (48.470)
Epoch: [36][5710/7045]	Time 0.398 (0.248)	Data 0.347 (0.185)	Loss 3.6034 (3.5147)	Prec@1 21.094 (22.087)	Prec@5 46.875 (48.470)
Epoch: [36][5720/7045]	Time 0.132 (0.248)	Data 0.080 (0.185)	Loss 3.3253 (3.5146)	Prec@1 27.344 (22.090)	Prec@5 55.078 (48.473)
Epoch: [36][5730/7045]	Time 0.345 (0.248)	Data 0.295 (0.185)	Loss 3.2684 (3.5146)	Prec@1 24.219 (22.090)	Prec@5 53.906 (48.471)
Epoch: [36][5740/7045]	Time 0.356 (0.248)	Data 0.305 (0.185)	Loss 3.5437 (3.5144)	Prec@1 22.656 (22.093)	Prec@5 48.828 (48.474)
Epoch: [36][5750/7045]	Time 0.360 (0.248)	Data 0.309 (0.185)	Loss 3.6699 (3.5145)	Prec@1 17.578 (22.091)	Prec@5 41.797 (48.472)
Epoch: [36][5760/7045]	Time 0.155 (0.248)	Data 0.104 (0.185)	Loss 3.6258 (3.5145)	Prec@1 18.359 (22.091)	Prec@5 48.828 (48.470)
Epoch: [36][5770/7045]	Time 0.102 (0.248)	Data 0.043 (0.185)	Loss 3.6688 (3.5144)	Prec@1 21.094 (22.093)	Prec@5 46.094 (48.471)
Epoch: [36][5780/7045]	Time 0.387 (0.248)	Data 0.336 (0.185)	Loss 3.3353 (3.5144)	Prec@1 25.000 (22.092)	Prec@5 56.641 (48.471)
Epoch: [36][5790/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 3.4268 (3.5143)	Prec@1 26.172 (22.094)	Prec@5 49.609 (48.473)
Epoch: [36][5800/7045]	Time 0.579 (0.248)	Data 0.521 (0.185)	Loss 3.4403 (3.5143)	Prec@1 21.094 (22.093)	Prec@5 47.656 (48.474)
Epoch: [36][5810/7045]	Time 0.326 (0.248)	Data 0.274 (0.185)	Loss 3.5470 (3.5144)	Prec@1 22.656 (22.093)	Prec@5 50.391 (48.474)
Epoch: [36][5820/7045]	Time 0.462 (0.248)	Data 0.403 (0.185)	Loss 3.5367 (3.5142)	Prec@1 19.531 (22.094)	Prec@5 48.828 (48.475)
Epoch: [36][5830/7045]	Time 0.251 (0.248)	Data 0.199 (0.185)	Loss 3.3059 (3.5142)	Prec@1 25.000 (22.094)	Prec@5 49.609 (48.475)
Epoch: [36][5840/7045]	Time 0.245 (0.248)	Data 0.186 (0.185)	Loss 3.3140 (3.5141)	Prec@1 22.656 (22.095)	Prec@5 51.953 (48.476)
Epoch: [36][5850/7045]	Time 0.204 (0.248)	Data 0.154 (0.185)	Loss 3.3854 (3.5141)	Prec@1 24.609 (22.095)	Prec@5 50.781 (48.476)
Epoch: [36][5860/7045]	Time 0.317 (0.248)	Data 0.265 (0.185)	Loss 3.3813 (3.5140)	Prec@1 25.000 (22.099)	Prec@5 50.781 (48.479)
Epoch: [36][5870/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 3.5302 (3.5140)	Prec@1 21.484 (22.099)	Prec@5 48.438 (48.477)
Epoch: [36][5880/7045]	Time 0.218 (0.248)	Data 0.159 (0.185)	Loss 3.5037 (3.5140)	Prec@1 20.312 (22.098)	Prec@5 51.562 (48.479)
Epoch: [36][5890/7045]	Time 0.101 (0.248)	Data 0.005 (0.185)	Loss 3.3385 (3.5140)	Prec@1 26.172 (22.100)	Prec@5 53.906 (48.480)
Epoch: [36][5900/7045]	Time 0.208 (0.248)	Data 0.156 (0.185)	Loss 3.5825 (3.5140)	Prec@1 20.312 (22.100)	Prec@5 41.797 (48.480)
Epoch: [36][5910/7045]	Time 0.406 (0.248)	Data 0.355 (0.185)	Loss 3.7013 (3.5140)	Prec@1 21.094 (22.101)	Prec@5 39.062 (48.480)
Epoch: [36][5920/7045]	Time 0.101 (0.248)	Data 0.007 (0.185)	Loss 3.4835 (3.5139)	Prec@1 19.141 (22.102)	Prec@5 50.000 (48.483)
Epoch: [36][5930/7045]	Time 0.504 (0.248)	Data 0.452 (0.185)	Loss 3.7699 (3.5139)	Prec@1 18.359 (22.102)	Prec@5 44.141 (48.482)
Epoch: [36][5940/7045]	Time 0.111 (0.248)	Data 0.060 (0.185)	Loss 3.4450 (3.5138)	Prec@1 24.219 (22.103)	Prec@5 46.484 (48.484)
Epoch: [36][5950/7045]	Time 0.491 (0.248)	Data 0.440 (0.185)	Loss 3.5580 (3.5138)	Prec@1 21.484 (22.103)	Prec@5 51.172 (48.484)
Epoch: [36][5960/7045]	Time 0.102 (0.248)	Data 0.007 (0.185)	Loss 3.5277 (3.5138)	Prec@1 23.047 (22.103)	Prec@5 48.828 (48.486)
Epoch: [36][5970/7045]	Time 0.650 (0.248)	Data 0.592 (0.185)	Loss 3.5990 (3.5137)	Prec@1 20.312 (22.103)	Prec@5 48.047 (48.488)
Epoch: [36][5980/7045]	Time 0.180 (0.248)	Data 0.129 (0.185)	Loss 3.4404 (3.5137)	Prec@1 23.828 (22.103)	Prec@5 51.953 (48.487)
Epoch: [36][5990/7045]	Time 0.477 (0.248)	Data 0.425 (0.185)	Loss 3.5101 (3.5136)	Prec@1 23.047 (22.106)	Prec@5 51.562 (48.488)
Epoch: [36][6000/7045]	Time 0.108 (0.248)	Data 0.057 (0.185)	Loss 3.4107 (3.5135)	Prec@1 23.828 (22.107)	Prec@5 50.781 (48.491)
Epoch: [36][6010/7045]	Time 0.369 (0.248)	Data 0.317 (0.185)	Loss 3.4103 (3.5134)	Prec@1 25.781 (22.109)	Prec@5 51.562 (48.493)
Epoch: [36][6020/7045]	Time 0.211 (0.248)	Data 0.159 (0.185)	Loss 3.5664 (3.5134)	Prec@1 18.750 (22.108)	Prec@5 49.219 (48.493)
Epoch: [36][6030/7045]	Time 0.109 (0.248)	Data 0.004 (0.185)	Loss 3.4126 (3.5133)	Prec@1 21.484 (22.108)	Prec@5 51.562 (48.494)
Epoch: [36][6040/7045]	Time 0.101 (0.248)	Data 0.044 (0.185)	Loss 3.4513 (3.5131)	Prec@1 21.875 (22.108)	Prec@5 46.094 (48.494)
Epoch: [36][6050/7045]	Time 0.101 (0.248)	Data 0.007 (0.185)	Loss 3.4376 (3.5131)	Prec@1 21.484 (22.111)	Prec@5 48.047 (48.496)
Epoch: [36][6060/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 3.3013 (3.5130)	Prec@1 24.609 (22.111)	Prec@5 50.781 (48.496)
Epoch: [36][6070/7045]	Time 0.371 (0.248)	Data 0.319 (0.185)	Loss 3.4962 (3.5129)	Prec@1 22.656 (22.113)	Prec@5 50.391 (48.500)
Epoch: [36][6080/7045]	Time 0.105 (0.248)	Data 0.052 (0.185)	Loss 3.5378 (3.5127)	Prec@1 24.609 (22.116)	Prec@5 49.609 (48.503)
Epoch: [36][6090/7045]	Time 0.471 (0.248)	Data 0.420 (0.185)	Loss 3.3736 (3.5126)	Prec@1 27.734 (22.118)	Prec@5 51.562 (48.505)
Epoch: [36][6100/7045]	Time 0.468 (0.248)	Data 0.417 (0.185)	Loss 3.4863 (3.5124)	Prec@1 25.000 (22.123)	Prec@5 50.391 (48.510)
Epoch: [36][6110/7045]	Time 0.219 (0.248)	Data 0.167 (0.185)	Loss 3.4124 (3.5123)	Prec@1 23.047 (22.123)	Prec@5 51.953 (48.510)
Epoch: [36][6120/7045]	Time 0.291 (0.248)	Data 0.239 (0.185)	Loss 3.6451 (3.5122)	Prec@1 19.531 (22.125)	Prec@5 43.750 (48.513)
Epoch: [36][6130/7045]	Time 0.108 (0.248)	Data 0.001 (0.185)	Loss 3.4520 (3.5121)	Prec@1 24.219 (22.128)	Prec@5 49.219 (48.515)
Epoch: [36][6140/7045]	Time 0.192 (0.248)	Data 0.141 (0.185)	Loss 3.5038 (3.5121)	Prec@1 21.484 (22.128)	Prec@5 50.000 (48.515)
Epoch: [36][6150/7045]	Time 0.164 (0.248)	Data 0.112 (0.185)	Loss 3.2612 (3.5119)	Prec@1 26.953 (22.131)	Prec@5 57.812 (48.519)
Epoch: [36][6160/7045]	Time 0.106 (0.248)	Data 0.054 (0.185)	Loss 3.4778 (3.5119)	Prec@1 22.266 (22.131)	Prec@5 45.703 (48.518)
Epoch: [36][6170/7045]	Time 0.313 (0.248)	Data 0.254 (0.185)	Loss 3.5064 (3.5119)	Prec@1 24.219 (22.131)	Prec@5 47.656 (48.517)
Epoch: [36][6180/7045]	Time 0.103 (0.248)	Data 0.006 (0.185)	Loss 3.4988 (3.5118)	Prec@1 21.094 (22.131)	Prec@5 50.000 (48.520)
Epoch: [36][6190/7045]	Time 0.273 (0.248)	Data 0.222 (0.185)	Loss 3.6938 (3.5117)	Prec@1 25.000 (22.135)	Prec@5 43.750 (48.523)
Epoch: [36][6200/7045]	Time 0.144 (0.248)	Data 0.093 (0.185)	Loss 3.4447 (3.5117)	Prec@1 22.266 (22.136)	Prec@5 49.609 (48.524)
Epoch: [36][6210/7045]	Time 0.424 (0.248)	Data 0.367 (0.185)	Loss 3.5445 (3.5116)	Prec@1 23.047 (22.137)	Prec@5 52.734 (48.528)
Epoch: [36][6220/7045]	Time 0.398 (0.248)	Data 0.341 (0.185)	Loss 3.4218 (3.5115)	Prec@1 21.484 (22.138)	Prec@5 47.656 (48.530)
Epoch: [36][6230/7045]	Time 0.213 (0.248)	Data 0.159 (0.185)	Loss 3.3351 (3.5115)	Prec@1 24.219 (22.138)	Prec@5 53.906 (48.532)
Epoch: [36][6240/7045]	Time 0.593 (0.248)	Data 0.542 (0.185)	Loss 3.5248 (3.5113)	Prec@1 25.391 (22.141)	Prec@5 50.391 (48.537)
Epoch: [36][6250/7045]	Time 0.110 (0.248)	Data 0.001 (0.185)	Loss 3.5083 (3.5111)	Prec@1 25.000 (22.144)	Prec@5 46.094 (48.542)
Epoch: [36][6260/7045]	Time 0.445 (0.248)	Data 0.386 (0.185)	Loss 3.4632 (3.5110)	Prec@1 22.266 (22.146)	Prec@5 51.172 (48.544)
Epoch: [36][6270/7045]	Time 0.225 (0.248)	Data 0.174 (0.185)	Loss 3.5397 (3.5110)	Prec@1 23.047 (22.145)	Prec@5 50.000 (48.543)
Epoch: [36][6280/7045]	Time 0.174 (0.248)	Data 0.122 (0.185)	Loss 3.5519 (3.5110)	Prec@1 23.047 (22.146)	Prec@5 52.344 (48.546)
Epoch: [36][6290/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 3.3901 (3.5110)	Prec@1 23.438 (22.144)	Prec@5 48.828 (48.545)
Epoch: [36][6300/7045]	Time 0.123 (0.248)	Data 0.070 (0.185)	Loss 3.4963 (3.5110)	Prec@1 24.219 (22.144)	Prec@5 48.828 (48.546)
Epoch: [36][6310/7045]	Time 0.649 (0.248)	Data 0.597 (0.185)	Loss 3.5957 (3.5110)	Prec@1 17.188 (22.143)	Prec@5 43.750 (48.546)
Epoch: [36][6320/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 3.6061 (3.5111)	Prec@1 19.531 (22.142)	Prec@5 50.000 (48.547)
Epoch: [36][6330/7045]	Time 0.418 (0.248)	Data 0.367 (0.185)	Loss 3.6916 (3.5111)	Prec@1 15.625 (22.142)	Prec@5 42.578 (48.547)
Epoch: [36][6340/7045]	Time 0.101 (0.248)	Data 0.014 (0.185)	Loss 3.3399 (3.5110)	Prec@1 23.047 (22.143)	Prec@5 52.734 (48.550)
Epoch: [36][6350/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 3.5227 (3.5110)	Prec@1 19.141 (22.141)	Prec@5 50.000 (48.549)
Epoch: [36][6360/7045]	Time 0.103 (0.248)	Data 0.001 (0.185)	Loss 3.3526 (3.5109)	Prec@1 24.219 (22.142)	Prec@5 52.734 (48.551)
Epoch: [36][6370/7045]	Time 0.419 (0.248)	Data 0.367 (0.185)	Loss 3.4701 (3.5109)	Prec@1 25.000 (22.142)	Prec@5 52.734 (48.552)
Epoch: [36][6380/7045]	Time 0.152 (0.248)	Data 0.094 (0.185)	Loss 3.5962 (3.5108)	Prec@1 21.484 (22.142)	Prec@5 42.578 (48.552)
Epoch: [36][6390/7045]	Time 0.453 (0.248)	Data 0.400 (0.185)	Loss 3.2672 (3.5107)	Prec@1 23.828 (22.143)	Prec@5 52.734 (48.553)
Epoch: [36][6400/7045]	Time 0.108 (0.248)	Data 0.009 (0.185)	Loss 3.1439 (3.5105)	Prec@1 30.469 (22.147)	Prec@5 57.812 (48.556)
Epoch: [36][6410/7045]	Time 0.222 (0.248)	Data 0.170 (0.185)	Loss 3.3755 (3.5104)	Prec@1 20.703 (22.148)	Prec@5 51.953 (48.558)
Epoch: [36][6420/7045]	Time 0.101 (0.248)	Data 0.005 (0.185)	Loss 3.5709 (3.5103)	Prec@1 19.531 (22.149)	Prec@5 44.531 (48.559)
Epoch: [36][6430/7045]	Time 0.270 (0.248)	Data 0.218 (0.185)	Loss 3.3153 (3.5103)	Prec@1 27.344 (22.150)	Prec@5 51.953 (48.560)
Epoch: [36][6440/7045]	Time 0.132 (0.248)	Data 0.081 (0.185)	Loss 3.3432 (3.5103)	Prec@1 23.047 (22.148)	Prec@5 50.781 (48.560)
Epoch: [36][6450/7045]	Time 0.102 (0.248)	Data 0.010 (0.185)	Loss 3.3981 (3.5102)	Prec@1 23.047 (22.149)	Prec@5 48.438 (48.563)
Epoch: [36][6460/7045]	Time 0.330 (0.248)	Data 0.278 (0.185)	Loss 3.4036 (3.5102)	Prec@1 23.438 (22.148)	Prec@5 46.484 (48.561)
Epoch: [36][6470/7045]	Time 0.102 (0.248)	Data 0.008 (0.185)	Loss 3.7163 (3.5103)	Prec@1 19.922 (22.148)	Prec@5 42.578 (48.557)
Epoch: [36][6480/7045]	Time 0.443 (0.248)	Data 0.392 (0.185)	Loss 3.4198 (3.5103)	Prec@1 24.219 (22.149)	Prec@5 51.562 (48.558)
Epoch: [36][6490/7045]	Time 0.109 (0.248)	Data 0.005 (0.185)	Loss 3.4540 (3.5103)	Prec@1 21.094 (22.150)	Prec@5 47.266 (48.557)
Epoch: [36][6500/7045]	Time 0.475 (0.248)	Data 0.424 (0.185)	Loss 3.4156 (3.5102)	Prec@1 21.484 (22.150)	Prec@5 50.391 (48.560)
Epoch: [36][6510/7045]	Time 0.165 (0.248)	Data 0.113 (0.185)	Loss 3.3774 (3.5101)	Prec@1 26.562 (22.150)	Prec@5 52.734 (48.562)
Epoch: [36][6520/7045]	Time 0.364 (0.248)	Data 0.311 (0.185)	Loss 3.4843 (3.5101)	Prec@1 21.484 (22.150)	Prec@5 48.438 (48.563)
Epoch: [36][6530/7045]	Time 0.239 (0.248)	Data 0.187 (0.185)	Loss 3.4289 (3.5102)	Prec@1 20.703 (22.150)	Prec@5 46.875 (48.563)
Epoch: [36][6540/7045]	Time 0.109 (0.248)	Data 0.059 (0.185)	Loss 3.6513 (3.5101)	Prec@1 23.047 (22.150)	Prec@5 46.875 (48.563)
Epoch: [36][6550/7045]	Time 0.194 (0.248)	Data 0.143 (0.185)	Loss 3.4467 (3.5100)	Prec@1 25.391 (22.151)	Prec@5 53.516 (48.566)
Epoch: [36][6560/7045]	Time 0.132 (0.248)	Data 0.081 (0.185)	Loss 3.3995 (3.5099)	Prec@1 23.828 (22.152)	Prec@5 51.953 (48.568)
Epoch: [36][6570/7045]	Time 0.100 (0.248)	Data 0.043 (0.185)	Loss 3.3555 (3.5098)	Prec@1 21.875 (22.154)	Prec@5 51.172 (48.571)
Epoch: [36][6580/7045]	Time 0.102 (0.248)	Data 0.006 (0.185)	Loss 3.4954 (3.5097)	Prec@1 20.312 (22.154)	Prec@5 47.656 (48.574)
Epoch: [36][6590/7045]	Time 0.549 (0.248)	Data 0.497 (0.185)	Loss 3.6087 (3.5096)	Prec@1 20.703 (22.156)	Prec@5 48.047 (48.576)
Epoch: [36][6600/7045]	Time 0.104 (0.248)	Data 0.053 (0.185)	Loss 3.3593 (3.5096)	Prec@1 24.219 (22.155)	Prec@5 54.297 (48.577)
Epoch: [36][6610/7045]	Time 0.373 (0.248)	Data 0.317 (0.185)	Loss 3.4465 (3.5095)	Prec@1 22.656 (22.155)	Prec@5 48.828 (48.579)
Epoch: [36][6620/7045]	Time 0.315 (0.248)	Data 0.264 (0.185)	Loss 3.5203 (3.5094)	Prec@1 25.391 (22.157)	Prec@5 48.438 (48.581)
Epoch: [36][6630/7045]	Time 0.324 (0.248)	Data 0.272 (0.185)	Loss 3.3441 (3.5093)	Prec@1 23.047 (22.159)	Prec@5 50.781 (48.583)
Epoch: [36][6640/7045]	Time 0.459 (0.248)	Data 0.408 (0.185)	Loss 3.3396 (3.5092)	Prec@1 22.656 (22.160)	Prec@5 50.391 (48.585)
Epoch: [36][6650/7045]	Time 0.248 (0.248)	Data 0.195 (0.185)	Loss 3.5294 (3.5091)	Prec@1 23.438 (22.160)	Prec@5 51.562 (48.585)
Epoch: [36][6660/7045]	Time 0.398 (0.248)	Data 0.347 (0.185)	Loss 3.3767 (3.5091)	Prec@1 26.562 (22.162)	Prec@5 51.562 (48.585)
Epoch: [36][6670/7045]	Time 0.254 (0.248)	Data 0.197 (0.185)	Loss 3.4318 (3.5090)	Prec@1 25.000 (22.163)	Prec@5 51.172 (48.587)
Epoch: [36][6680/7045]	Time 0.203 (0.248)	Data 0.152 (0.185)	Loss 3.5416 (3.5089)	Prec@1 21.094 (22.164)	Prec@5 44.922 (48.590)
Epoch: [36][6690/7045]	Time 0.289 (0.248)	Data 0.239 (0.185)	Loss 3.4961 (3.5089)	Prec@1 20.312 (22.163)	Prec@5 50.781 (48.590)
Epoch: [36][6700/7045]	Time 0.282 (0.248)	Data 0.231 (0.185)	Loss 3.4354 (3.5088)	Prec@1 26.953 (22.164)	Prec@5 50.781 (48.591)
Epoch: [36][6710/7045]	Time 0.405 (0.248)	Data 0.349 (0.185)	Loss 3.4570 (3.5088)	Prec@1 21.094 (22.164)	Prec@5 49.219 (48.593)
Epoch: [36][6720/7045]	Time 0.385 (0.248)	Data 0.335 (0.185)	Loss 3.4806 (3.5088)	Prec@1 21.875 (22.163)	Prec@5 48.438 (48.591)
Epoch: [36][6730/7045]	Time 0.176 (0.248)	Data 0.126 (0.185)	Loss 3.5992 (3.5089)	Prec@1 18.750 (22.162)	Prec@5 44.531 (48.589)
Epoch: [36][6740/7045]	Time 0.427 (0.248)	Data 0.376 (0.185)	Loss 3.5861 (3.5089)	Prec@1 21.484 (22.162)	Prec@5 45.312 (48.590)
Epoch: [36][6750/7045]	Time 0.178 (0.248)	Data 0.127 (0.185)	Loss 3.5398 (3.5088)	Prec@1 21.094 (22.163)	Prec@5 43.750 (48.590)
Epoch: [36][6760/7045]	Time 0.300 (0.248)	Data 0.249 (0.185)	Loss 3.4576 (3.5088)	Prec@1 21.094 (22.163)	Prec@5 47.266 (48.591)
Epoch: [36][6770/7045]	Time 0.430 (0.248)	Data 0.379 (0.185)	Loss 3.2512 (3.5088)	Prec@1 28.516 (22.162)	Prec@5 57.422 (48.592)
Epoch: [36][6780/7045]	Time 0.102 (0.248)	Data 0.019 (0.185)	Loss 3.3752 (3.5086)	Prec@1 27.734 (22.167)	Prec@5 50.781 (48.598)
Epoch: [36][6790/7045]	Time 0.551 (0.248)	Data 0.500 (0.185)	Loss 3.4255 (3.5087)	Prec@1 23.828 (22.165)	Prec@5 47.656 (48.597)
Epoch: [36][6800/7045]	Time 0.167 (0.248)	Data 0.114 (0.185)	Loss 3.6272 (3.5087)	Prec@1 22.266 (22.166)	Prec@5 46.094 (48.596)
Epoch: [36][6810/7045]	Time 0.600 (0.248)	Data 0.540 (0.185)	Loss 3.4589 (3.5086)	Prec@1 21.484 (22.167)	Prec@5 48.828 (48.597)
Epoch: [36][6820/7045]	Time 0.109 (0.248)	Data 0.058 (0.185)	Loss 3.4657 (3.5086)	Prec@1 25.391 (22.167)	Prec@5 47.266 (48.598)
Epoch: [36][6830/7045]	Time 0.554 (0.248)	Data 0.502 (0.185)	Loss 3.5104 (3.5086)	Prec@1 20.703 (22.167)	Prec@5 50.391 (48.599)
Epoch: [36][6840/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 3.5305 (3.5086)	Prec@1 19.141 (22.167)	Prec@5 47.656 (48.599)
Epoch: [36][6850/7045]	Time 0.646 (0.248)	Data 0.589 (0.185)	Loss 3.3892 (3.5085)	Prec@1 22.266 (22.169)	Prec@5 51.172 (48.601)
Epoch: [36][6860/7045]	Time 0.106 (0.248)	Data 0.054 (0.185)	Loss 3.2739 (3.5084)	Prec@1 29.688 (22.171)	Prec@5 56.250 (48.603)
Epoch: [36][6870/7045]	Time 0.345 (0.248)	Data 0.293 (0.185)	Loss 3.3812 (3.5084)	Prec@1 26.562 (22.173)	Prec@5 51.562 (48.604)
Epoch: [36][6880/7045]	Time 0.230 (0.248)	Data 0.180 (0.185)	Loss 3.4154 (3.5083)	Prec@1 25.781 (22.176)	Prec@5 47.656 (48.606)
Epoch: [36][6890/7045]	Time 0.250 (0.248)	Data 0.192 (0.185)	Loss 3.6232 (3.5082)	Prec@1 21.094 (22.178)	Prec@5 47.266 (48.609)
Epoch: [36][6900/7045]	Time 0.240 (0.248)	Data 0.190 (0.185)	Loss 3.5332 (3.5081)	Prec@1 20.312 (22.179)	Prec@5 46.875 (48.610)
Epoch: [36][6910/7045]	Time 0.283 (0.248)	Data 0.232 (0.185)	Loss 3.3757 (3.5080)	Prec@1 25.781 (22.181)	Prec@5 48.438 (48.613)
Epoch: [36][6920/7045]	Time 0.149 (0.248)	Data 0.098 (0.185)	Loss 3.5010 (3.5079)	Prec@1 22.656 (22.183)	Prec@5 48.047 (48.614)
Epoch: [36][6930/7045]	Time 0.235 (0.248)	Data 0.184 (0.185)	Loss 3.4173 (3.5078)	Prec@1 23.047 (22.183)	Prec@5 50.781 (48.616)
Epoch: [36][6940/7045]	Time 0.143 (0.248)	Data 0.089 (0.185)	Loss 3.4464 (3.5078)	Prec@1 22.656 (22.183)	Prec@5 47.656 (48.615)
Epoch: [36][6950/7045]	Time 0.191 (0.248)	Data 0.141 (0.185)	Loss 3.5503 (3.5077)	Prec@1 20.703 (22.185)	Prec@5 46.875 (48.615)
Epoch: [36][6960/7045]	Time 0.327 (0.248)	Data 0.275 (0.185)	Loss 3.4692 (3.5077)	Prec@1 21.875 (22.185)	Prec@5 48.047 (48.614)
Epoch: [36][6970/7045]	Time 0.104 (0.248)	Data 0.051 (0.185)	Loss 3.3972 (3.5077)	Prec@1 21.875 (22.185)	Prec@5 50.000 (48.614)
Epoch: [36][6980/7045]	Time 0.625 (0.248)	Data 0.574 (0.185)	Loss 3.2555 (3.5076)	Prec@1 26.562 (22.185)	Prec@5 54.297 (48.615)
Epoch: [36][6990/7045]	Time 0.157 (0.248)	Data 0.106 (0.185)	Loss 3.4996 (3.5077)	Prec@1 25.000 (22.183)	Prec@5 46.875 (48.614)
Epoch: [36][7000/7045]	Time 0.418 (0.248)	Data 0.367 (0.185)	Loss 3.3798 (3.5077)	Prec@1 26.562 (22.183)	Prec@5 51.172 (48.613)
Epoch: [36][7010/7045]	Time 0.101 (0.248)	Data 0.003 (0.185)	Loss 3.6453 (3.5077)	Prec@1 22.656 (22.183)	Prec@5 47.656 (48.615)
Epoch: [36][7020/7045]	Time 0.099 (0.248)	Data 0.001 (0.185)	Loss 3.4725 (3.5077)	Prec@1 21.094 (22.184)	Prec@5 50.391 (48.613)
Epoch: [36][7030/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 3.5562 (3.5077)	Prec@1 21.875 (22.183)	Prec@5 49.219 (48.613)
Epoch: [36][7040/7045]	Time 0.106 (0.248)	Data 0.000 (0.185)	Loss 3.6213 (3.5077)	Prec@1 22.266 (22.183)	Prec@5 46.484 (48.613)
Test: [0/143]	Time 1.067 (1.067)	Loss 3.1503 (3.1503)	Prec@1 31.250 (31.250)	Prec@5 54.297 (54.297)
Test: [10/143]	Time 0.136 (0.244)	Loss 2.7940 (2.9887)	Prec@1 37.109 (30.469)	Prec@5 67.188 (59.695)
Test: [20/143]	Time 0.150 (0.219)	Loss 3.1480 (2.9311)	Prec@1 24.609 (30.469)	Prec@5 55.859 (60.900)
Test: [30/143]	Time 0.048 (0.203)	Loss 3.2873 (2.9342)	Prec@1 26.172 (31.326)	Prec@5 54.688 (60.874)
Test: [40/143]	Time 0.106 (0.201)	Loss 3.2024 (2.9612)	Prec@1 16.797 (30.936)	Prec@5 53.516 (60.013)
Test: [50/143]	Time 0.062 (0.193)	Loss 2.6589 (2.9954)	Prec@1 29.688 (29.764)	Prec@5 71.484 (59.498)
Test: [60/143]	Time 0.110 (0.193)	Loss 3.7664 (2.9720)	Prec@1 13.672 (30.507)	Prec@5 42.188 (59.977)
Test: [70/143]	Time 0.189 (0.192)	Loss 3.7962 (2.9611)	Prec@1 14.453 (30.661)	Prec@5 39.844 (60.266)
Test: [80/143]	Time 0.048 (0.189)	Loss 2.8064 (2.9668)	Prec@1 33.984 (30.570)	Prec@5 68.359 (60.407)
Test: [90/143]	Time 0.056 (0.189)	Loss 2.9045 (2.9488)	Prec@1 27.734 (30.834)	Prec@5 64.844 (60.834)
Test: [100/143]	Time 0.306 (0.189)	Loss 2.7016 (2.9515)	Prec@1 37.109 (30.728)	Prec@5 69.922 (60.879)
Test: [110/143]	Time 0.048 (0.189)	Loss 2.6491 (2.9340)	Prec@1 34.375 (31.278)	Prec@5 70.703 (61.268)
Test: [120/143]	Time 0.353 (0.189)	Loss 2.6316 (2.9194)	Prec@1 37.500 (31.647)	Prec@5 69.531 (61.554)
Test: [130/143]	Time 0.070 (0.189)	Loss 2.4623 (2.9235)	Prec@1 48.047 (31.563)	Prec@5 67.578 (61.376)
Test: [140/143]	Time 0.269 (0.188)	Loss 3.9714 (2.9437)	Prec@1 12.891 (31.017)	Prec@5 30.859 (60.938)
 * Prec@1 31.074 Prec@5 61.008
Epoch: [37][0/7045]	Time 2.412 (2.412)	Data 2.346 (2.346)	Loss 3.7017 (3.7017)	Prec@1 16.406 (16.406)	Prec@5 42.969 (42.969)
Epoch: [37][10/7045]	Time 0.118 (0.412)	Data 0.059 (0.326)	Loss 3.5628 (3.5186)	Prec@1 22.266 (22.408)	Prec@5 42.188 (47.798)
Epoch: [37][20/7045]	Time 0.424 (0.344)	Data 0.367 (0.272)	Loss 3.3325 (3.4994)	Prec@1 25.000 (22.340)	Prec@5 55.859 (48.270)
Epoch: [37][30/7045]	Time 0.417 (0.312)	Data 0.366 (0.245)	Loss 3.4981 (3.4689)	Prec@1 21.484 (22.807)	Prec@5 49.219 (48.992)
Epoch: [37][40/7045]	Time 0.182 (0.298)	Data 0.130 (0.233)	Loss 3.6154 (3.4622)	Prec@1 22.266 (23.047)	Prec@5 47.266 (49.247)
Epoch: [37][50/7045]	Time 0.446 (0.290)	Data 0.396 (0.225)	Loss 3.7199 (3.4708)	Prec@1 16.016 (22.932)	Prec@5 41.797 (48.859)
Epoch: [37][60/7045]	Time 0.102 (0.281)	Data 0.004 (0.215)	Loss 3.3575 (3.4614)	Prec@1 28.516 (23.156)	Prec@5 50.000 (48.924)
Epoch: [37][70/7045]	Time 0.373 (0.279)	Data 0.322 (0.213)	Loss 3.5365 (3.4628)	Prec@1 23.438 (23.179)	Prec@5 46.484 (49.004)
Epoch: [37][80/7045]	Time 0.226 (0.275)	Data 0.174 (0.212)	Loss 3.5318 (3.4619)	Prec@1 23.828 (23.225)	Prec@5 49.219 (49.084)
Epoch: [37][90/7045]	Time 0.287 (0.273)	Data 0.235 (0.211)	Loss 3.4309 (3.4631)	Prec@1 20.312 (23.107)	Prec@5 51.562 (49.133)
Epoch: [37][100/7045]	Time 0.234 (0.271)	Data 0.182 (0.210)	Loss 3.3600 (3.4600)	Prec@1 25.781 (23.229)	Prec@5 49.219 (49.180)
Epoch: [37][110/7045]	Time 0.185 (0.268)	Data 0.134 (0.207)	Loss 3.6092 (3.4611)	Prec@1 21.484 (23.262)	Prec@5 46.484 (49.169)
Epoch: [37][120/7045]	Time 0.201 (0.268)	Data 0.144 (0.207)	Loss 3.5887 (3.4570)	Prec@1 22.266 (23.289)	Prec@5 47.656 (49.290)
Epoch: [37][130/7045]	Time 0.127 (0.265)	Data 0.075 (0.205)	Loss 3.4720 (3.4575)	Prec@1 24.609 (23.241)	Prec@5 50.391 (49.260)
Epoch: [37][140/7045]	Time 0.434 (0.267)	Data 0.383 (0.207)	Loss 3.4644 (3.4575)	Prec@1 21.484 (23.185)	Prec@5 50.781 (49.274)
Epoch: [37][150/7045]	Time 0.121 (0.264)	Data 0.070 (0.203)	Loss 3.5513 (3.4608)	Prec@1 23.047 (23.156)	Prec@5 50.000 (49.175)
Epoch: [37][160/7045]	Time 0.411 (0.265)	Data 0.353 (0.204)	Loss 3.5298 (3.4583)	Prec@1 19.531 (23.175)	Prec@5 50.781 (49.292)
Epoch: [37][170/7045]	Time 0.275 (0.263)	Data 0.224 (0.203)	Loss 3.6203 (3.4573)	Prec@1 17.188 (23.211)	Prec@5 45.703 (49.315)
Epoch: [37][180/7045]	Time 0.310 (0.263)	Data 0.252 (0.203)	Loss 3.3898 (3.4576)	Prec@1 22.266 (23.166)	Prec@5 53.516 (49.409)
Epoch: [37][190/7045]	Time 0.136 (0.261)	Data 0.084 (0.201)	Loss 3.2380 (3.4554)	Prec@1 26.953 (23.180)	Prec@5 53.125 (49.485)
Epoch: [37][200/7045]	Time 0.108 (0.262)	Data 0.006 (0.201)	Loss 3.5092 (3.4568)	Prec@1 17.578 (23.103)	Prec@5 50.000 (49.483)
Epoch: [37][210/7045]	Time 0.102 (0.260)	Data 0.001 (0.198)	Loss 3.6532 (3.4566)	Prec@1 19.531 (23.058)	Prec@5 47.656 (49.502)
Epoch: [37][220/7045]	Time 0.138 (0.260)	Data 0.087 (0.199)	Loss 3.5585 (3.4583)	Prec@1 22.656 (23.013)	Prec@5 51.172 (49.493)
Epoch: [37][230/7045]	Time 0.109 (0.259)	Data 0.058 (0.197)	Loss 3.6324 (3.4572)	Prec@1 18.359 (23.037)	Prec@5 46.875 (49.530)
Epoch: [37][240/7045]	Time 0.371 (0.260)	Data 0.320 (0.198)	Loss 3.1847 (3.4562)	Prec@1 25.000 (23.027)	Prec@5 55.078 (49.567)
Epoch: [37][250/7045]	Time 0.101 (0.258)	Data 0.001 (0.196)	Loss 3.4324 (3.4545)	Prec@1 24.219 (23.075)	Prec@5 51.953 (49.636)
Epoch: [37][260/7045]	Time 0.564 (0.259)	Data 0.509 (0.197)	Loss 3.3817 (3.4523)	Prec@1 26.172 (23.140)	Prec@5 52.344 (49.705)
Epoch: [37][270/7045]	Time 0.341 (0.258)	Data 0.289 (0.196)	Loss 3.6289 (3.4542)	Prec@1 18.359 (23.094)	Prec@5 49.609 (49.684)
Epoch: [37][280/7045]	Time 0.334 (0.258)	Data 0.282 (0.196)	Loss 3.5718 (3.4552)	Prec@1 22.656 (23.055)	Prec@5 50.000 (49.671)
Epoch: [37][290/7045]	Time 0.196 (0.257)	Data 0.146 (0.195)	Loss 3.3673 (3.4542)	Prec@1 25.391 (23.131)	Prec@5 49.609 (49.693)
Epoch: [37][300/7045]	Time 0.101 (0.257)	Data 0.004 (0.195)	Loss 3.5117 (3.4521)	Prec@1 17.578 (23.131)	Prec@5 47.656 (49.729)
Epoch: [37][310/7045]	Time 0.150 (0.257)	Data 0.098 (0.194)	Loss 3.3234 (3.4532)	Prec@1 22.656 (23.135)	Prec@5 51.953 (49.730)
Epoch: [37][320/7045]	Time 0.239 (0.257)	Data 0.187 (0.195)	Loss 3.4614 (3.4533)	Prec@1 26.953 (23.160)	Prec@5 51.172 (49.738)
Epoch: [37][330/7045]	Time 0.099 (0.257)	Data 0.001 (0.195)	Loss 3.4500 (3.4518)	Prec@1 21.875 (23.178)	Prec@5 50.391 (49.773)
Epoch: [37][340/7045]	Time 0.413 (0.257)	Data 0.362 (0.195)	Loss 3.3438 (3.4515)	Prec@1 22.266 (23.163)	Prec@5 54.688 (49.788)
Epoch: [37][350/7045]	Time 0.226 (0.257)	Data 0.175 (0.194)	Loss 3.7422 (3.4539)	Prec@1 22.266 (23.097)	Prec@5 43.359 (49.711)
Epoch: [37][360/7045]	Time 0.565 (0.257)	Data 0.513 (0.195)	Loss 3.5475 (3.4559)	Prec@1 21.875 (23.034)	Prec@5 44.531 (49.676)
Epoch: [37][370/7045]	Time 0.109 (0.256)	Data 0.056 (0.194)	Loss 3.4695 (3.4567)	Prec@1 22.656 (23.022)	Prec@5 50.391 (49.669)
Epoch: [37][380/7045]	Time 0.610 (0.256)	Data 0.559 (0.194)	Loss 3.4008 (3.4574)	Prec@1 27.734 (23.022)	Prec@5 55.859 (49.675)
Epoch: [37][390/7045]	Time 0.101 (0.256)	Data 0.001 (0.194)	Loss 3.5980 (3.4573)	Prec@1 22.656 (23.012)	Prec@5 45.312 (49.668)
Epoch: [37][400/7045]	Time 0.424 (0.256)	Data 0.373 (0.193)	Loss 3.3944 (3.4570)	Prec@1 26.172 (23.029)	Prec@5 50.391 (49.680)
Epoch: [37][410/7045]	Time 0.250 (0.255)	Data 0.198 (0.193)	Loss 3.5576 (3.4576)	Prec@1 18.750 (23.022)	Prec@5 50.000 (49.671)
Epoch: [37][420/7045]	Time 0.294 (0.256)	Data 0.243 (0.194)	Loss 3.3973 (3.4566)	Prec@1 23.828 (23.018)	Prec@5 52.344 (49.673)
Epoch: [37][430/7045]	Time 0.211 (0.255)	Data 0.159 (0.193)	Loss 3.5193 (3.4574)	Prec@1 23.047 (23.027)	Prec@5 50.000 (49.680)
Epoch: [37][440/7045]	Time 0.101 (0.255)	Data 0.004 (0.193)	Loss 3.6045 (3.4585)	Prec@1 24.219 (23.016)	Prec@5 45.703 (49.639)
Epoch: [37][450/7045]	Time 0.110 (0.256)	Data 0.001 (0.194)	Loss 3.4466 (3.4576)	Prec@1 21.875 (23.023)	Prec@5 50.000 (49.674)
Epoch: [37][460/7045]	Time 0.100 (0.255)	Data 0.006 (0.193)	Loss 3.3487 (3.4568)	Prec@1 26.562 (23.036)	Prec@5 51.953 (49.681)
Epoch: [37][470/7045]	Time 0.102 (0.256)	Data 0.001 (0.193)	Loss 3.6777 (3.4582)	Prec@1 18.359 (23.009)	Prec@5 43.750 (49.646)
Epoch: [37][480/7045]	Time 0.414 (0.255)	Data 0.363 (0.193)	Loss 3.5290 (3.4590)	Prec@1 17.578 (23.010)	Prec@5 47.656 (49.611)
Epoch: [37][490/7045]	Time 0.244 (0.256)	Data 0.192 (0.193)	Loss 3.3401 (3.4594)	Prec@1 26.953 (23.004)	Prec@5 52.344 (49.609)
Epoch: [37][500/7045]	Time 0.635 (0.256)	Data 0.576 (0.193)	Loss 3.4753 (3.4591)	Prec@1 24.219 (23.006)	Prec@5 52.344 (49.620)
Epoch: [37][510/7045]	Time 0.098 (0.256)	Data 0.001 (0.193)	Loss 3.4770 (3.4592)	Prec@1 27.344 (23.015)	Prec@5 47.656 (49.601)
Epoch: [37][520/7045]	Time 0.528 (0.256)	Data 0.477 (0.193)	Loss 3.4490 (3.4594)	Prec@1 21.484 (22.993)	Prec@5 48.047 (49.595)
Epoch: [37][530/7045]	Time 0.384 (0.256)	Data 0.333 (0.193)	Loss 3.1924 (3.4583)	Prec@1 27.344 (23.019)	Prec@5 53.516 (49.591)
Epoch: [37][540/7045]	Time 0.103 (0.255)	Data 0.050 (0.193)	Loss 3.3094 (3.4571)	Prec@1 23.047 (23.031)	Prec@5 50.781 (49.606)
Epoch: [37][550/7045]	Time 0.281 (0.256)	Data 0.230 (0.193)	Loss 3.2571 (3.4577)	Prec@1 24.219 (23.045)	Prec@5 54.297 (49.604)
Epoch: [37][560/7045]	Time 0.100 (0.256)	Data 0.004 (0.193)	Loss 3.6316 (3.4586)	Prec@1 22.266 (23.029)	Prec@5 45.703 (49.574)
Epoch: [37][570/7045]	Time 0.299 (0.256)	Data 0.248 (0.193)	Loss 3.5403 (3.4598)	Prec@1 21.484 (23.018)	Prec@5 48.438 (49.570)
Epoch: [37][580/7045]	Time 0.207 (0.256)	Data 0.155 (0.193)	Loss 3.5834 (3.4596)	Prec@1 22.656 (23.012)	Prec@5 46.094 (49.561)
Epoch: [37][590/7045]	Time 0.175 (0.255)	Data 0.125 (0.193)	Loss 3.3109 (3.4589)	Prec@1 25.000 (23.010)	Prec@5 51.562 (49.562)
Epoch: [37][600/7045]	Time 0.737 (0.256)	Data 0.685 (0.194)	Loss 3.5318 (3.4583)	Prec@1 21.484 (23.022)	Prec@5 46.484 (49.563)
Epoch: [37][610/7045]	Time 0.138 (0.255)	Data 0.086 (0.193)	Loss 3.3347 (3.4587)	Prec@1 25.781 (23.016)	Prec@5 51.953 (49.532)
Epoch: [37][620/7045]	Time 0.521 (0.256)	Data 0.470 (0.193)	Loss 3.4345 (3.4586)	Prec@1 25.391 (23.007)	Prec@5 51.172 (49.555)
Epoch: [37][630/7045]	Time 0.110 (0.255)	Data 0.058 (0.193)	Loss 3.4276 (3.4599)	Prec@1 25.000 (22.994)	Prec@5 49.219 (49.525)
Epoch: [37][640/7045]	Time 0.107 (0.255)	Data 0.001 (0.193)	Loss 3.6326 (3.4607)	Prec@1 20.312 (22.981)	Prec@5 43.750 (49.488)
Epoch: [37][650/7045]	Time 0.283 (0.255)	Data 0.232 (0.193)	Loss 3.3628 (3.4621)	Prec@1 21.484 (22.949)	Prec@5 50.781 (49.468)
Epoch: [37][660/7045]	Time 0.304 (0.255)	Data 0.253 (0.193)	Loss 3.3483 (3.4618)	Prec@1 26.172 (22.965)	Prec@5 50.781 (49.465)
Epoch: [37][670/7045]	Time 0.367 (0.255)	Data 0.314 (0.193)	Loss 3.4951 (3.4625)	Prec@1 19.141 (22.941)	Prec@5 48.047 (49.445)
Epoch: [37][680/7045]	Time 0.413 (0.255)	Data 0.360 (0.193)	Loss 3.4685 (3.4612)	Prec@1 22.656 (22.954)	Prec@5 50.000 (49.470)
Epoch: [37][690/7045]	Time 0.465 (0.255)	Data 0.401 (0.193)	Loss 3.2828 (3.4618)	Prec@1 28.516 (22.950)	Prec@5 53.125 (49.465)
Epoch: [37][700/7045]	Time 0.172 (0.255)	Data 0.120 (0.193)	Loss 3.5732 (3.4623)	Prec@1 21.484 (22.928)	Prec@5 48.047 (49.461)
Epoch: [37][710/7045]	Time 0.260 (0.255)	Data 0.209 (0.193)	Loss 3.4535 (3.4628)	Prec@1 23.047 (22.913)	Prec@5 45.312 (49.451)
Epoch: [37][720/7045]	Time 0.101 (0.255)	Data 0.049 (0.193)	Loss 3.4781 (3.4620)	Prec@1 21.875 (22.916)	Prec@5 54.297 (49.466)
Epoch: [37][730/7045]	Time 0.130 (0.254)	Data 0.077 (0.192)	Loss 3.5486 (3.4614)	Prec@1 22.266 (22.915)	Prec@5 46.094 (49.492)
Epoch: [37][740/7045]	Time 0.346 (0.255)	Data 0.295 (0.193)	Loss 3.4061 (3.4611)	Prec@1 21.875 (22.915)	Prec@5 49.219 (49.493)
Epoch: [37][750/7045]	Time 0.101 (0.254)	Data 0.001 (0.192)	Loss 3.4640 (3.4610)	Prec@1 25.391 (22.906)	Prec@5 49.219 (49.503)
Epoch: [37][760/7045]	Time 0.347 (0.254)	Data 0.296 (0.192)	Loss 3.3085 (3.4618)	Prec@1 24.609 (22.890)	Prec@5 55.469 (49.491)
Epoch: [37][770/7045]	Time 0.102 (0.254)	Data 0.001 (0.191)	Loss 3.5105 (3.4625)	Prec@1 24.219 (22.887)	Prec@5 46.484 (49.479)
Epoch: [37][780/7045]	Time 0.155 (0.254)	Data 0.104 (0.192)	Loss 3.5400 (3.4629)	Prec@1 23.828 (22.891)	Prec@5 47.656 (49.473)
Epoch: [37][790/7045]	Time 0.102 (0.253)	Data 0.001 (0.191)	Loss 3.4518 (3.4630)	Prec@1 20.703 (22.880)	Prec@5 51.172 (49.477)
Epoch: [37][800/7045]	Time 0.193 (0.254)	Data 0.141 (0.191)	Loss 3.4172 (3.4620)	Prec@1 23.047 (22.902)	Prec@5 51.172 (49.484)
Epoch: [37][810/7045]	Time 0.313 (0.254)	Data 0.261 (0.191)	Loss 3.3330 (3.4620)	Prec@1 25.391 (22.886)	Prec@5 47.266 (49.481)
Epoch: [37][820/7045]	Time 0.135 (0.253)	Data 0.082 (0.191)	Loss 3.6266 (3.4612)	Prec@1 21.094 (22.903)	Prec@5 48.047 (49.502)
Epoch: [37][830/7045]	Time 0.275 (0.254)	Data 0.223 (0.191)	Loss 3.5600 (3.4614)	Prec@1 23.828 (22.907)	Prec@5 44.141 (49.495)
Epoch: [37][840/7045]	Time 0.136 (0.253)	Data 0.085 (0.191)	Loss 3.4475 (3.4613)	Prec@1 20.312 (22.901)	Prec@5 48.828 (49.493)
Epoch: [37][850/7045]	Time 0.101 (0.253)	Data 0.001 (0.191)	Loss 3.3012 (3.4607)	Prec@1 25.000 (22.899)	Prec@5 52.734 (49.496)
Epoch: [37][860/7045]	Time 0.391 (0.253)	Data 0.340 (0.191)	Loss 3.2672 (3.4610)	Prec@1 22.656 (22.899)	Prec@5 54.688 (49.487)
Epoch: [37][870/7045]	Time 0.198 (0.253)	Data 0.140 (0.191)	Loss 3.3301 (3.4608)	Prec@1 23.438 (22.906)	Prec@5 53.125 (49.503)
Epoch: [37][880/7045]	Time 0.532 (0.253)	Data 0.480 (0.191)	Loss 3.3174 (3.4608)	Prec@1 24.609 (22.916)	Prec@5 53.125 (49.495)
Epoch: [37][890/7045]	Time 0.108 (0.253)	Data 0.056 (0.191)	Loss 3.4991 (3.4615)	Prec@1 20.312 (22.898)	Prec@5 45.703 (49.487)
Epoch: [37][900/7045]	Time 0.401 (0.253)	Data 0.344 (0.191)	Loss 3.5003 (3.4614)	Prec@1 21.484 (22.899)	Prec@5 47.656 (49.490)
Epoch: [37][910/7045]	Time 0.104 (0.253)	Data 0.051 (0.190)	Loss 3.5530 (3.4610)	Prec@1 20.312 (22.901)	Prec@5 42.578 (49.503)
Epoch: [37][920/7045]	Time 0.156 (0.253)	Data 0.104 (0.191)	Loss 3.2785 (3.4611)	Prec@1 31.250 (22.911)	Prec@5 55.469 (49.515)
Epoch: [37][930/7045]	Time 0.101 (0.253)	Data 0.001 (0.190)	Loss 3.5222 (3.4606)	Prec@1 24.219 (22.927)	Prec@5 49.609 (49.535)
Epoch: [37][940/7045]	Time 0.101 (0.253)	Data 0.049 (0.190)	Loss 3.3626 (3.4609)	Prec@1 23.047 (22.929)	Prec@5 50.781 (49.536)
Epoch: [37][950/7045]	Time 0.508 (0.253)	Data 0.458 (0.190)	Loss 3.4226 (3.4618)	Prec@1 18.750 (22.911)	Prec@5 51.172 (49.522)
Epoch: [37][960/7045]	Time 0.103 (0.253)	Data 0.050 (0.190)	Loss 3.2326 (3.4615)	Prec@1 27.344 (22.911)	Prec@5 53.906 (49.520)
Epoch: [37][970/7045]	Time 0.485 (0.253)	Data 0.435 (0.190)	Loss 3.4628 (3.4616)	Prec@1 22.266 (22.909)	Prec@5 50.000 (49.516)
Epoch: [37][980/7045]	Time 0.152 (0.252)	Data 0.101 (0.190)	Loss 3.5568 (3.4616)	Prec@1 22.656 (22.919)	Prec@5 46.484 (49.515)
Epoch: [37][990/7045]	Time 0.137 (0.253)	Data 0.085 (0.190)	Loss 3.4921 (3.4618)	Prec@1 21.094 (22.914)	Prec@5 50.781 (49.519)
Epoch: [37][1000/7045]	Time 0.100 (0.252)	Data 0.047 (0.190)	Loss 3.4810 (3.4616)	Prec@1 21.094 (22.911)	Prec@5 51.172 (49.515)
Epoch: [37][1010/7045]	Time 0.108 (0.253)	Data 0.050 (0.190)	Loss 3.3522 (3.4614)	Prec@1 26.172 (22.916)	Prec@5 53.125 (49.524)
Epoch: [37][1020/7045]	Time 0.165 (0.252)	Data 0.115 (0.189)	Loss 3.4404 (3.4610)	Prec@1 21.875 (22.918)	Prec@5 50.781 (49.542)
Epoch: [37][1030/7045]	Time 0.101 (0.252)	Data 0.046 (0.190)	Loss 3.3935 (3.4604)	Prec@1 23.047 (22.924)	Prec@5 46.875 (49.549)
Epoch: [37][1040/7045]	Time 0.594 (0.253)	Data 0.537 (0.190)	Loss 3.5495 (3.4604)	Prec@1 19.531 (22.914)	Prec@5 49.609 (49.550)
Epoch: [37][1050/7045]	Time 0.243 (0.252)	Data 0.191 (0.190)	Loss 3.3989 (3.4602)	Prec@1 26.172 (22.925)	Prec@5 48.047 (49.548)
Epoch: [37][1060/7045]	Time 0.379 (0.252)	Data 0.322 (0.190)	Loss 3.3422 (3.4597)	Prec@1 26.562 (22.933)	Prec@5 50.391 (49.561)
Epoch: [37][1070/7045]	Time 0.187 (0.252)	Data 0.137 (0.189)	Loss 3.3014 (3.4598)	Prec@1 25.000 (22.935)	Prec@5 50.000 (49.574)
Epoch: [37][1080/7045]	Time 0.101 (0.252)	Data 0.001 (0.189)	Loss 3.5105 (3.4594)	Prec@1 21.875 (22.931)	Prec@5 48.438 (49.573)
Epoch: [37][1090/7045]	Time 0.281 (0.252)	Data 0.230 (0.189)	Loss 3.3448 (3.4588)	Prec@1 25.000 (22.938)	Prec@5 54.297 (49.588)
Epoch: [37][1100/7045]	Time 0.103 (0.252)	Data 0.008 (0.189)	Loss 3.5503 (3.4588)	Prec@1 22.656 (22.943)	Prec@5 47.656 (49.586)
Epoch: [37][1110/7045]	Time 0.622 (0.252)	Data 0.563 (0.189)	Loss 3.6204 (3.4590)	Prec@1 16.797 (22.929)	Prec@5 43.750 (49.572)
Epoch: [37][1120/7045]	Time 0.102 (0.252)	Data 0.001 (0.189)	Loss 3.2043 (3.4585)	Prec@1 23.438 (22.938)	Prec@5 58.203 (49.599)
Epoch: [37][1130/7045]	Time 0.626 (0.252)	Data 0.575 (0.189)	Loss 3.4565 (3.4581)	Prec@1 23.047 (22.941)	Prec@5 50.391 (49.610)
Epoch: [37][1140/7045]	Time 0.107 (0.252)	Data 0.055 (0.189)	Loss 3.4955 (3.4578)	Prec@1 21.484 (22.940)	Prec@5 48.438 (49.607)
Epoch: [37][1150/7045]	Time 0.502 (0.252)	Data 0.449 (0.189)	Loss 3.4572 (3.4575)	Prec@1 23.828 (22.945)	Prec@5 49.609 (49.604)
Epoch: [37][1160/7045]	Time 0.102 (0.252)	Data 0.008 (0.189)	Loss 3.3667 (3.4577)	Prec@1 22.656 (22.945)	Prec@5 53.516 (49.614)
Epoch: [37][1170/7045]	Time 0.178 (0.252)	Data 0.126 (0.189)	Loss 3.5410 (3.4572)	Prec@1 18.359 (22.950)	Prec@5 46.484 (49.625)
Epoch: [37][1180/7045]	Time 0.195 (0.252)	Data 0.143 (0.189)	Loss 3.1534 (3.4564)	Prec@1 24.609 (22.965)	Prec@5 56.250 (49.642)
Epoch: [37][1190/7045]	Time 0.105 (0.252)	Data 0.053 (0.189)	Loss 3.4128 (3.4559)	Prec@1 23.047 (22.963)	Prec@5 51.953 (49.652)
Epoch: [37][1200/7045]	Time 0.627 (0.252)	Data 0.575 (0.189)	Loss 3.1782 (3.4553)	Prec@1 23.047 (22.969)	Prec@5 53.906 (49.667)
Epoch: [37][1210/7045]	Time 0.249 (0.252)	Data 0.197 (0.189)	Loss 3.4131 (3.4555)	Prec@1 24.609 (22.972)	Prec@5 48.047 (49.667)
Epoch: [37][1220/7045]	Time 0.240 (0.252)	Data 0.189 (0.189)	Loss 3.5735 (3.4560)	Prec@1 23.047 (22.957)	Prec@5 45.703 (49.650)
Epoch: [37][1230/7045]	Time 0.314 (0.252)	Data 0.263 (0.189)	Loss 3.4545 (3.4563)	Prec@1 19.531 (22.945)	Prec@5 51.562 (49.643)
Epoch: [37][1240/7045]	Time 0.340 (0.252)	Data 0.289 (0.189)	Loss 3.3113 (3.4566)	Prec@1 24.219 (22.940)	Prec@5 49.219 (49.632)
Epoch: [37][1250/7045]	Time 0.104 (0.252)	Data 0.053 (0.189)	Loss 3.5403 (3.4569)	Prec@1 22.656 (22.943)	Prec@5 47.656 (49.632)
Epoch: [37][1260/7045]	Time 0.552 (0.252)	Data 0.502 (0.189)	Loss 3.6067 (3.4574)	Prec@1 19.531 (22.934)	Prec@5 46.484 (49.627)
Epoch: [37][1270/7045]	Time 0.101 (0.252)	Data 0.010 (0.188)	Loss 3.2666 (3.4573)	Prec@1 25.391 (22.932)	Prec@5 57.422 (49.632)
Epoch: [37][1280/7045]	Time 0.174 (0.252)	Data 0.124 (0.188)	Loss 3.5135 (3.4568)	Prec@1 26.562 (22.943)	Prec@5 50.000 (49.646)
Epoch: [37][1290/7045]	Time 0.129 (0.252)	Data 0.077 (0.188)	Loss 3.5657 (3.4567)	Prec@1 19.141 (22.937)	Prec@5 48.438 (49.650)
Epoch: [37][1300/7045]	Time 0.393 (0.252)	Data 0.342 (0.189)	Loss 3.5001 (3.4567)	Prec@1 22.656 (22.942)	Prec@5 43.359 (49.651)
Epoch: [37][1310/7045]	Time 0.102 (0.251)	Data 0.046 (0.188)	Loss 3.3341 (3.4562)	Prec@1 24.219 (22.941)	Prec@5 50.781 (49.653)
Epoch: [37][1320/7045]	Time 0.491 (0.252)	Data 0.439 (0.188)	Loss 3.3653 (3.4567)	Prec@1 23.438 (22.929)	Prec@5 48.828 (49.640)
Epoch: [37][1330/7045]	Time 0.217 (0.251)	Data 0.166 (0.188)	Loss 3.3040 (3.4567)	Prec@1 25.391 (22.932)	Prec@5 54.688 (49.630)
Epoch: [37][1340/7045]	Time 0.492 (0.251)	Data 0.441 (0.188)	Loss 3.5350 (3.4563)	Prec@1 21.484 (22.928)	Prec@5 51.172 (49.634)
Epoch: [37][1350/7045]	Time 0.403 (0.251)	Data 0.352 (0.188)	Loss 3.6055 (3.4567)	Prec@1 19.922 (22.924)	Prec@5 46.875 (49.621)
Epoch: [37][1360/7045]	Time 0.339 (0.251)	Data 0.289 (0.188)	Loss 3.3703 (3.4567)	Prec@1 24.219 (22.925)	Prec@5 50.391 (49.625)
Epoch: [37][1370/7045]	Time 0.452 (0.251)	Data 0.401 (0.188)	Loss 3.5793 (3.4566)	Prec@1 20.703 (22.920)	Prec@5 46.875 (49.628)
Epoch: [37][1380/7045]	Time 0.222 (0.251)	Data 0.171 (0.188)	Loss 3.3595 (3.4564)	Prec@1 24.219 (22.924)	Prec@5 49.609 (49.628)
Epoch: [37][1390/7045]	Time 0.476 (0.251)	Data 0.422 (0.188)	Loss 3.3842 (3.4567)	Prec@1 25.391 (22.920)	Prec@5 47.656 (49.622)
Epoch: [37][1400/7045]	Time 0.260 (0.251)	Data 0.204 (0.187)	Loss 3.6337 (3.4569)	Prec@1 20.703 (22.912)	Prec@5 42.188 (49.624)
Epoch: [37][1410/7045]	Time 0.464 (0.251)	Data 0.413 (0.187)	Loss 3.5394 (3.4568)	Prec@1 23.438 (22.916)	Prec@5 44.922 (49.629)
Epoch: [37][1420/7045]	Time 0.264 (0.251)	Data 0.213 (0.187)	Loss 3.4438 (3.4571)	Prec@1 26.953 (22.911)	Prec@5 48.828 (49.624)
Epoch: [37][1430/7045]	Time 0.542 (0.251)	Data 0.491 (0.187)	Loss 3.2726 (3.4567)	Prec@1 26.172 (22.911)	Prec@5 50.391 (49.631)
Epoch: [37][1440/7045]	Time 0.239 (0.251)	Data 0.189 (0.187)	Loss 3.4853 (3.4566)	Prec@1 24.219 (22.915)	Prec@5 46.875 (49.631)
Epoch: [37][1450/7045]	Time 0.582 (0.251)	Data 0.530 (0.187)	Loss 3.6322 (3.4566)	Prec@1 17.578 (22.918)	Prec@5 49.219 (49.633)
Epoch: [37][1460/7045]	Time 0.367 (0.251)	Data 0.315 (0.187)	Loss 3.3461 (3.4565)	Prec@1 22.656 (22.926)	Prec@5 50.391 (49.639)
Epoch: [37][1470/7045]	Time 0.209 (0.251)	Data 0.151 (0.187)	Loss 3.5298 (3.4563)	Prec@1 23.047 (22.936)	Prec@5 47.656 (49.645)
Epoch: [37][1480/7045]	Time 0.427 (0.251)	Data 0.374 (0.187)	Loss 3.3949 (3.4558)	Prec@1 26.172 (22.949)	Prec@5 48.828 (49.657)
Epoch: [37][1490/7045]	Time 0.107 (0.250)	Data 0.055 (0.187)	Loss 3.3666 (3.4555)	Prec@1 27.734 (22.963)	Prec@5 53.906 (49.663)
Epoch: [37][1500/7045]	Time 0.329 (0.250)	Data 0.279 (0.187)	Loss 3.3422 (3.4554)	Prec@1 20.312 (22.968)	Prec@5 54.688 (49.670)
Epoch: [37][1510/7045]	Time 0.283 (0.250)	Data 0.233 (0.187)	Loss 3.2557 (3.4556)	Prec@1 28.906 (22.963)	Prec@5 53.516 (49.663)
Epoch: [37][1520/7045]	Time 0.142 (0.250)	Data 0.091 (0.187)	Loss 3.1565 (3.4554)	Prec@1 27.344 (22.963)	Prec@5 53.906 (49.662)
Epoch: [37][1530/7045]	Time 0.406 (0.250)	Data 0.349 (0.187)	Loss 3.2593 (3.4553)	Prec@1 26.562 (22.959)	Prec@5 55.078 (49.661)
Epoch: [37][1540/7045]	Time 0.102 (0.250)	Data 0.050 (0.187)	Loss 3.4402 (3.4553)	Prec@1 23.438 (22.959)	Prec@5 47.656 (49.658)
Epoch: [37][1550/7045]	Time 0.405 (0.250)	Data 0.354 (0.187)	Loss 3.4640 (3.4552)	Prec@1 23.438 (22.962)	Prec@5 46.484 (49.657)
Epoch: [37][1560/7045]	Time 0.152 (0.250)	Data 0.094 (0.187)	Loss 3.4538 (3.4552)	Prec@1 24.609 (22.968)	Prec@5 48.438 (49.660)
Epoch: [37][1570/7045]	Time 0.348 (0.250)	Data 0.298 (0.187)	Loss 3.5700 (3.4550)	Prec@1 19.531 (22.967)	Prec@5 43.750 (49.661)
Epoch: [37][1580/7045]	Time 0.276 (0.250)	Data 0.224 (0.187)	Loss 3.4204 (3.4549)	Prec@1 22.656 (22.964)	Prec@5 49.609 (49.658)
Epoch: [37][1590/7045]	Time 0.291 (0.250)	Data 0.241 (0.187)	Loss 3.5101 (3.4548)	Prec@1 21.484 (22.969)	Prec@5 47.656 (49.659)
Epoch: [37][1600/7045]	Time 0.290 (0.250)	Data 0.238 (0.187)	Loss 3.2922 (3.4544)	Prec@1 28.125 (22.975)	Prec@5 54.297 (49.673)
Epoch: [37][1610/7045]	Time 0.102 (0.250)	Data 0.006 (0.187)	Loss 3.4796 (3.4545)	Prec@1 22.656 (22.978)	Prec@5 46.484 (49.678)
Epoch: [37][1620/7045]	Time 0.275 (0.250)	Data 0.225 (0.187)	Loss 3.4949 (3.4546)	Prec@1 19.531 (22.970)	Prec@5 49.219 (49.675)
Epoch: [37][1630/7045]	Time 0.177 (0.250)	Data 0.126 (0.187)	Loss 3.4065 (3.4545)	Prec@1 23.047 (22.972)	Prec@5 54.297 (49.679)
Epoch: [37][1640/7045]	Time 0.238 (0.250)	Data 0.187 (0.187)	Loss 3.5241 (3.4547)	Prec@1 21.484 (22.968)	Prec@5 44.531 (49.673)
Epoch: [37][1650/7045]	Time 0.307 (0.250)	Data 0.256 (0.187)	Loss 3.6490 (3.4551)	Prec@1 21.484 (22.963)	Prec@5 45.703 (49.666)
Epoch: [37][1660/7045]	Time 0.189 (0.250)	Data 0.138 (0.187)	Loss 3.3838 (3.4553)	Prec@1 25.391 (22.959)	Prec@5 52.344 (49.667)
Epoch: [37][1670/7045]	Time 0.281 (0.250)	Data 0.231 (0.187)	Loss 3.5269 (3.4554)	Prec@1 23.828 (22.960)	Prec@5 48.828 (49.668)
Epoch: [37][1680/7045]	Time 0.101 (0.249)	Data 0.001 (0.187)	Loss 3.3081 (3.4554)	Prec@1 24.219 (22.960)	Prec@5 51.562 (49.668)
Epoch: [37][1690/7045]	Time 0.293 (0.249)	Data 0.242 (0.187)	Loss 3.2806 (3.4552)	Prec@1 24.219 (22.968)	Prec@5 52.734 (49.675)
Epoch: [37][1700/7045]	Time 0.173 (0.249)	Data 0.122 (0.187)	Loss 3.3407 (3.4547)	Prec@1 22.266 (22.975)	Prec@5 53.516 (49.688)
Epoch: [37][1710/7045]	Time 0.258 (0.249)	Data 0.206 (0.186)	Loss 3.6134 (3.4545)	Prec@1 20.312 (22.985)	Prec@5 44.531 (49.691)
Epoch: [37][1720/7045]	Time 0.288 (0.249)	Data 0.236 (0.187)	Loss 3.3949 (3.4544)	Prec@1 27.734 (22.997)	Prec@5 51.172 (49.693)
Epoch: [37][1730/7045]	Time 0.190 (0.249)	Data 0.138 (0.187)	Loss 3.3989 (3.4543)	Prec@1 26.172 (23.002)	Prec@5 53.516 (49.697)
Epoch: [37][1740/7045]	Time 0.230 (0.249)	Data 0.178 (0.187)	Loss 3.4344 (3.4543)	Prec@1 22.656 (23.009)	Prec@5 50.781 (49.697)
Epoch: [37][1750/7045]	Time 0.209 (0.249)	Data 0.158 (0.187)	Loss 3.3204 (3.4543)	Prec@1 28.516 (23.007)	Prec@5 51.953 (49.700)
Epoch: [37][1760/7045]	Time 0.238 (0.249)	Data 0.185 (0.187)	Loss 3.3973 (3.4542)	Prec@1 22.656 (23.015)	Prec@5 51.562 (49.705)
Epoch: [37][1770/7045]	Time 0.230 (0.249)	Data 0.178 (0.187)	Loss 3.3719 (3.4540)	Prec@1 26.562 (23.025)	Prec@5 51.172 (49.713)
Epoch: [37][1780/7045]	Time 0.174 (0.249)	Data 0.123 (0.187)	Loss 3.5346 (3.4537)	Prec@1 21.094 (23.033)	Prec@5 50.000 (49.722)
Epoch: [37][1790/7045]	Time 0.424 (0.249)	Data 0.367 (0.187)	Loss 3.3120 (3.4534)	Prec@1 25.391 (23.043)	Prec@5 55.859 (49.730)
Epoch: [37][1800/7045]	Time 0.108 (0.249)	Data 0.056 (0.187)	Loss 3.5420 (3.4535)	Prec@1 21.875 (23.042)	Prec@5 48.438 (49.730)
Epoch: [37][1810/7045]	Time 0.390 (0.249)	Data 0.339 (0.187)	Loss 3.4300 (3.4536)	Prec@1 23.438 (23.043)	Prec@5 50.000 (49.728)
Epoch: [37][1820/7045]	Time 0.102 (0.249)	Data 0.005 (0.186)	Loss 3.4171 (3.4535)	Prec@1 26.172 (23.041)	Prec@5 51.953 (49.735)
Epoch: [37][1830/7045]	Time 0.364 (0.249)	Data 0.313 (0.187)	Loss 3.3502 (3.4535)	Prec@1 21.875 (23.040)	Prec@5 50.781 (49.740)
Epoch: [37][1840/7045]	Time 0.101 (0.249)	Data 0.003 (0.186)	Loss 3.5534 (3.4536)	Prec@1 20.312 (23.031)	Prec@5 49.609 (49.736)
Epoch: [37][1850/7045]	Time 0.403 (0.249)	Data 0.352 (0.186)	Loss 3.5460 (3.4535)	Prec@1 20.312 (23.032)	Prec@5 44.531 (49.737)
Epoch: [37][1860/7045]	Time 0.102 (0.248)	Data 0.006 (0.186)	Loss 3.3762 (3.4536)	Prec@1 21.875 (23.029)	Prec@5 52.344 (49.733)
Epoch: [37][1870/7045]	Time 0.408 (0.249)	Data 0.357 (0.186)	Loss 3.4203 (3.4536)	Prec@1 25.781 (23.036)	Prec@5 50.391 (49.734)
Epoch: [37][1880/7045]	Time 0.228 (0.248)	Data 0.177 (0.186)	Loss 3.4406 (3.4534)	Prec@1 21.484 (23.036)	Prec@5 55.078 (49.738)
Epoch: [37][1890/7045]	Time 0.393 (0.248)	Data 0.343 (0.186)	Loss 3.3861 (3.4537)	Prec@1 26.953 (23.031)	Prec@5 53.906 (49.732)
Epoch: [37][1900/7045]	Time 0.340 (0.248)	Data 0.289 (0.186)	Loss 3.4729 (3.4535)	Prec@1 21.875 (23.037)	Prec@5 49.609 (49.738)
Epoch: [37][1910/7045]	Time 0.282 (0.248)	Data 0.231 (0.186)	Loss 3.2939 (3.4535)	Prec@1 24.609 (23.039)	Prec@5 53.516 (49.744)
Epoch: [37][1920/7045]	Time 0.369 (0.248)	Data 0.317 (0.186)	Loss 3.6451 (3.4537)	Prec@1 18.359 (23.035)	Prec@5 45.312 (49.747)
Epoch: [37][1930/7045]	Time 0.103 (0.248)	Data 0.051 (0.186)	Loss 3.4594 (3.4539)	Prec@1 26.172 (23.033)	Prec@5 52.344 (49.740)
Epoch: [37][1940/7045]	Time 0.289 (0.248)	Data 0.238 (0.186)	Loss 3.4327 (3.4539)	Prec@1 19.922 (23.025)	Prec@5 51.172 (49.736)
Epoch: [37][1950/7045]	Time 0.176 (0.248)	Data 0.124 (0.186)	Loss 3.7543 (3.4540)	Prec@1 19.531 (23.025)	Prec@5 44.922 (49.737)
Epoch: [37][1960/7045]	Time 0.227 (0.248)	Data 0.176 (0.186)	Loss 3.5520 (3.4536)	Prec@1 19.922 (23.030)	Prec@5 50.000 (49.751)
Epoch: [37][1970/7045]	Time 0.331 (0.248)	Data 0.275 (0.186)	Loss 3.3797 (3.4536)	Prec@1 25.000 (23.029)	Prec@5 49.219 (49.754)
Epoch: [37][1980/7045]	Time 0.111 (0.248)	Data 0.059 (0.186)	Loss 3.6949 (3.4534)	Prec@1 21.875 (23.028)	Prec@5 48.047 (49.757)
Epoch: [37][1990/7045]	Time 0.284 (0.248)	Data 0.233 (0.186)	Loss 3.2632 (3.4532)	Prec@1 22.656 (23.034)	Prec@5 55.469 (49.762)
Epoch: [37][2000/7045]	Time 0.177 (0.248)	Data 0.126 (0.186)	Loss 3.3133 (3.4530)	Prec@1 23.438 (23.038)	Prec@5 52.734 (49.764)
Epoch: [37][2010/7045]	Time 0.342 (0.248)	Data 0.291 (0.186)	Loss 3.5230 (3.4531)	Prec@1 25.000 (23.035)	Prec@5 49.609 (49.766)
Epoch: [37][2020/7045]	Time 0.373 (0.248)	Data 0.321 (0.186)	Loss 3.3842 (3.4532)	Prec@1 25.000 (23.033)	Prec@5 53.906 (49.759)
Epoch: [37][2030/7045]	Time 0.242 (0.248)	Data 0.192 (0.186)	Loss 3.3668 (3.4532)	Prec@1 23.047 (23.028)	Prec@5 53.516 (49.757)
Epoch: [37][2040/7045]	Time 0.232 (0.248)	Data 0.181 (0.186)	Loss 3.4313 (3.4532)	Prec@1 23.438 (23.027)	Prec@5 50.781 (49.763)
Epoch: [37][2050/7045]	Time 0.100 (0.248)	Data 0.001 (0.186)	Loss 3.4424 (3.4530)	Prec@1 21.094 (23.025)	Prec@5 51.172 (49.767)
Epoch: [37][2060/7045]	Time 0.210 (0.248)	Data 0.160 (0.186)	Loss 3.2687 (3.4530)	Prec@1 28.125 (23.025)	Prec@5 56.250 (49.769)
Epoch: [37][2070/7045]	Time 0.108 (0.248)	Data 0.055 (0.186)	Loss 3.5730 (3.4530)	Prec@1 23.047 (23.028)	Prec@5 46.875 (49.768)
Epoch: [37][2080/7045]	Time 0.210 (0.248)	Data 0.158 (0.186)	Loss 3.3200 (3.4529)	Prec@1 29.688 (23.030)	Prec@5 55.078 (49.769)
Epoch: [37][2090/7045]	Time 0.108 (0.248)	Data 0.055 (0.186)	Loss 3.5400 (3.4531)	Prec@1 21.094 (23.028)	Prec@5 46.484 (49.767)
Epoch: [37][2100/7045]	Time 0.196 (0.248)	Data 0.145 (0.186)	Loss 3.4521 (3.4528)	Prec@1 19.141 (23.026)	Prec@5 50.391 (49.772)
Epoch: [37][2110/7045]	Time 0.101 (0.248)	Data 0.045 (0.186)	Loss 3.2819 (3.4526)	Prec@1 25.000 (23.029)	Prec@5 51.562 (49.775)
Epoch: [37][2120/7045]	Time 0.141 (0.248)	Data 0.088 (0.186)	Loss 3.4885 (3.4525)	Prec@1 20.312 (23.027)	Prec@5 53.906 (49.781)
Epoch: [37][2130/7045]	Time 0.109 (0.247)	Data 0.057 (0.186)	Loss 3.5132 (3.4527)	Prec@1 21.484 (23.027)	Prec@5 49.219 (49.777)
Epoch: [37][2140/7045]	Time 0.168 (0.247)	Data 0.116 (0.186)	Loss 3.3539 (3.4524)	Prec@1 26.172 (23.037)	Prec@5 48.828 (49.784)
Epoch: [37][2150/7045]	Time 0.102 (0.247)	Data 0.002 (0.186)	Loss 3.5150 (3.4523)	Prec@1 25.391 (23.038)	Prec@5 47.656 (49.784)
Epoch: [37][2160/7045]	Time 0.138 (0.247)	Data 0.087 (0.186)	Loss 3.5439 (3.4521)	Prec@1 23.047 (23.039)	Prec@5 52.344 (49.785)
Epoch: [37][2170/7045]	Time 0.102 (0.247)	Data 0.045 (0.186)	Loss 3.4880 (3.4520)	Prec@1 21.875 (23.041)	Prec@5 50.391 (49.790)
Epoch: [37][2180/7045]	Time 0.215 (0.247)	Data 0.164 (0.186)	Loss 3.5144 (3.4521)	Prec@1 24.219 (23.044)	Prec@5 48.047 (49.787)
Epoch: [37][2190/7045]	Time 0.101 (0.247)	Data 0.004 (0.186)	Loss 3.4199 (3.4522)	Prec@1 25.781 (23.050)	Prec@5 49.609 (49.785)
Epoch: [37][2200/7045]	Time 0.230 (0.247)	Data 0.179 (0.186)	Loss 3.3937 (3.4523)	Prec@1 25.781 (23.049)	Prec@5 46.875 (49.780)
Epoch: [37][2210/7045]	Time 0.138 (0.247)	Data 0.087 (0.186)	Loss 3.6056 (3.4524)	Prec@1 21.094 (23.049)	Prec@5 42.969 (49.777)
Epoch: [37][2220/7045]	Time 0.231 (0.247)	Data 0.180 (0.186)	Loss 3.6269 (3.4524)	Prec@1 21.094 (23.055)	Prec@5 47.656 (49.779)
Epoch: [37][2230/7045]	Time 0.227 (0.247)	Data 0.175 (0.186)	Loss 3.4400 (3.4523)	Prec@1 25.391 (23.058)	Prec@5 50.391 (49.788)
Epoch: [37][2240/7045]	Time 0.195 (0.247)	Data 0.143 (0.186)	Loss 3.5796 (3.4527)	Prec@1 21.875 (23.052)	Prec@5 47.656 (49.781)
Epoch: [37][2250/7045]	Time 0.300 (0.247)	Data 0.248 (0.186)	Loss 3.3841 (3.4522)	Prec@1 20.703 (23.059)	Prec@5 49.219 (49.791)
Epoch: [37][2260/7045]	Time 0.159 (0.247)	Data 0.108 (0.186)	Loss 3.5037 (3.4522)	Prec@1 20.703 (23.062)	Prec@5 46.875 (49.787)
Epoch: [37][2270/7045]	Time 0.344 (0.247)	Data 0.290 (0.186)	Loss 3.4496 (3.4523)	Prec@1 26.172 (23.064)	Prec@5 48.047 (49.784)
Epoch: [37][2280/7045]	Time 0.100 (0.247)	Data 0.016 (0.186)	Loss 3.3485 (3.4521)	Prec@1 23.828 (23.068)	Prec@5 50.000 (49.787)
Epoch: [37][2290/7045]	Time 0.374 (0.247)	Data 0.323 (0.186)	Loss 3.5532 (3.4522)	Prec@1 21.875 (23.064)	Prec@5 50.391 (49.789)
Epoch: [37][2300/7045]	Time 0.102 (0.247)	Data 0.003 (0.186)	Loss 3.4597 (3.4521)	Prec@1 23.828 (23.068)	Prec@5 45.703 (49.791)
Epoch: [37][2310/7045]	Time 0.454 (0.247)	Data 0.403 (0.186)	Loss 3.2748 (3.4519)	Prec@1 26.172 (23.071)	Prec@5 55.859 (49.798)
Epoch: [37][2320/7045]	Time 0.101 (0.247)	Data 0.045 (0.186)	Loss 3.3823 (3.4517)	Prec@1 23.828 (23.079)	Prec@5 50.781 (49.804)
Epoch: [37][2330/7045]	Time 0.496 (0.247)	Data 0.445 (0.186)	Loss 3.4129 (3.4513)	Prec@1 25.391 (23.083)	Prec@5 50.391 (49.811)
Epoch: [37][2340/7045]	Time 0.102 (0.247)	Data 0.036 (0.186)	Loss 3.6174 (3.4513)	Prec@1 21.484 (23.086)	Prec@5 47.656 (49.813)
Epoch: [37][2350/7045]	Time 0.817 (0.247)	Data 0.764 (0.186)	Loss 3.6328 (3.4515)	Prec@1 22.656 (23.085)	Prec@5 48.047 (49.804)
Epoch: [37][2360/7045]	Time 0.101 (0.247)	Data 0.001 (0.186)	Loss 3.4128 (3.4514)	Prec@1 21.875 (23.083)	Prec@5 44.922 (49.800)
Epoch: [37][2370/7045]	Time 0.741 (0.247)	Data 0.690 (0.186)	Loss 3.5411 (3.4517)	Prec@1 21.875 (23.078)	Prec@5 45.703 (49.793)
Epoch: [37][2380/7045]	Time 0.113 (0.247)	Data 0.062 (0.186)	Loss 3.4761 (3.4519)	Prec@1 26.172 (23.072)	Prec@5 50.781 (49.788)
Epoch: [37][2390/7045]	Time 0.548 (0.247)	Data 0.496 (0.186)	Loss 3.6276 (3.4521)	Prec@1 23.438 (23.068)	Prec@5 48.438 (49.782)
Epoch: [37][2400/7045]	Time 0.342 (0.247)	Data 0.291 (0.186)	Loss 3.3986 (3.4521)	Prec@1 24.219 (23.064)	Prec@5 51.172 (49.780)
Epoch: [37][2410/7045]	Time 0.250 (0.247)	Data 0.199 (0.186)	Loss 3.3475 (3.4520)	Prec@1 25.391 (23.065)	Prec@5 55.078 (49.783)
Epoch: [37][2420/7045]	Time 0.485 (0.247)	Data 0.434 (0.186)	Loss 3.5379 (3.4520)	Prec@1 20.703 (23.068)	Prec@5 46.094 (49.778)
Epoch: [37][2430/7045]	Time 0.103 (0.247)	Data 0.002 (0.185)	Loss 3.5323 (3.4520)	Prec@1 23.047 (23.071)	Prec@5 46.875 (49.781)
Epoch: [37][2440/7045]	Time 0.639 (0.247)	Data 0.588 (0.186)	Loss 3.4797 (3.4520)	Prec@1 22.266 (23.074)	Prec@5 47.656 (49.779)
Epoch: [37][2450/7045]	Time 0.102 (0.247)	Data 0.003 (0.185)	Loss 3.5981 (3.4519)	Prec@1 20.703 (23.077)	Prec@5 46.484 (49.780)
Epoch: [37][2460/7045]	Time 0.367 (0.247)	Data 0.316 (0.185)	Loss 3.4347 (3.4520)	Prec@1 23.047 (23.076)	Prec@5 48.047 (49.783)
Epoch: [37][2470/7045]	Time 0.158 (0.247)	Data 0.107 (0.185)	Loss 3.4512 (3.4519)	Prec@1 23.438 (23.081)	Prec@5 50.781 (49.782)
Epoch: [37][2480/7045]	Time 0.325 (0.247)	Data 0.274 (0.185)	Loss 3.4386 (3.4520)	Prec@1 26.172 (23.079)	Prec@5 47.656 (49.774)
Epoch: [37][2490/7045]	Time 0.401 (0.247)	Data 0.351 (0.185)	Loss 3.3437 (3.4519)	Prec@1 25.000 (23.081)	Prec@5 52.344 (49.780)
Epoch: [37][2500/7045]	Time 0.101 (0.247)	Data 0.001 (0.185)	Loss 3.5041 (3.4518)	Prec@1 22.656 (23.082)	Prec@5 48.438 (49.783)
Epoch: [37][2510/7045]	Time 0.593 (0.247)	Data 0.542 (0.185)	Loss 3.4717 (3.4519)	Prec@1 23.438 (23.087)	Prec@5 50.000 (49.782)
Epoch: [37][2520/7045]	Time 0.206 (0.247)	Data 0.154 (0.185)	Loss 3.5374 (3.4518)	Prec@1 21.875 (23.085)	Prec@5 49.219 (49.786)
Epoch: [37][2530/7045]	Time 0.499 (0.247)	Data 0.448 (0.185)	Loss 3.6417 (3.4520)	Prec@1 20.312 (23.084)	Prec@5 44.141 (49.782)
Epoch: [37][2540/7045]	Time 0.108 (0.247)	Data 0.001 (0.185)	Loss 3.6785 (3.4521)	Prec@1 21.875 (23.088)	Prec@5 45.312 (49.783)
Epoch: [37][2550/7045]	Time 0.269 (0.247)	Data 0.219 (0.185)	Loss 3.1904 (3.4521)	Prec@1 25.000 (23.087)	Prec@5 55.469 (49.781)
Epoch: [37][2560/7045]	Time 0.222 (0.247)	Data 0.170 (0.185)	Loss 3.5444 (3.4519)	Prec@1 20.703 (23.089)	Prec@5 49.219 (49.781)
Epoch: [37][2570/7045]	Time 0.100 (0.247)	Data 0.005 (0.185)	Loss 3.3691 (3.4519)	Prec@1 24.609 (23.090)	Prec@5 50.781 (49.781)
Epoch: [37][2580/7045]	Time 0.344 (0.247)	Data 0.293 (0.186)	Loss 3.3496 (3.4520)	Prec@1 22.266 (23.094)	Prec@5 50.000 (49.781)
Epoch: [37][2590/7045]	Time 0.145 (0.247)	Data 0.094 (0.185)	Loss 3.1424 (3.4519)	Prec@1 24.609 (23.094)	Prec@5 57.031 (49.782)
Epoch: [37][2600/7045]	Time 0.345 (0.247)	Data 0.292 (0.185)	Loss 3.5124 (3.4519)	Prec@1 22.266 (23.100)	Prec@5 51.953 (49.790)
Epoch: [37][2610/7045]	Time 0.101 (0.247)	Data 0.004 (0.185)	Loss 3.7631 (3.4516)	Prec@1 15.625 (23.103)	Prec@5 44.922 (49.795)
Epoch: [37][2620/7045]	Time 0.239 (0.247)	Data 0.189 (0.185)	Loss 3.5795 (3.4517)	Prec@1 24.609 (23.105)	Prec@5 48.047 (49.794)
Epoch: [37][2630/7045]	Time 0.102 (0.247)	Data 0.001 (0.185)	Loss 3.2985 (3.4517)	Prec@1 24.609 (23.106)	Prec@5 53.125 (49.792)
Epoch: [37][2640/7045]	Time 0.127 (0.247)	Data 0.076 (0.185)	Loss 3.1492 (3.4517)	Prec@1 26.172 (23.108)	Prec@5 56.250 (49.790)
Epoch: [37][2650/7045]	Time 0.106 (0.247)	Data 0.001 (0.185)	Loss 3.4944 (3.4515)	Prec@1 21.875 (23.109)	Prec@5 49.219 (49.792)
Epoch: [37][2660/7045]	Time 0.101 (0.247)	Data 0.004 (0.185)	Loss 3.2762 (3.4517)	Prec@1 23.438 (23.105)	Prec@5 55.078 (49.788)
Epoch: [37][2670/7045]	Time 0.102 (0.247)	Data 0.001 (0.185)	Loss 3.4318 (3.4517)	Prec@1 20.312 (23.102)	Prec@5 45.703 (49.790)
Epoch: [37][2680/7045]	Time 0.216 (0.247)	Data 0.165 (0.185)	Loss 3.1515 (3.4518)	Prec@1 29.297 (23.104)	Prec@5 57.031 (49.785)
Epoch: [37][2690/7045]	Time 0.103 (0.247)	Data 0.001 (0.185)	Loss 3.3314 (3.4521)	Prec@1 29.688 (23.102)	Prec@5 52.734 (49.779)
Epoch: [37][2700/7045]	Time 0.475 (0.247)	Data 0.417 (0.185)	Loss 3.2174 (3.4520)	Prec@1 24.219 (23.102)	Prec@5 53.906 (49.783)
Epoch: [37][2710/7045]	Time 0.102 (0.247)	Data 0.001 (0.185)	Loss 3.4712 (3.4519)	Prec@1 21.875 (23.101)	Prec@5 52.344 (49.785)
Epoch: [37][2720/7045]	Time 0.572 (0.247)	Data 0.521 (0.185)	Loss 3.4784 (3.4520)	Prec@1 20.703 (23.103)	Prec@5 48.438 (49.779)
Epoch: [37][2730/7045]	Time 0.108 (0.247)	Data 0.048 (0.185)	Loss 3.5460 (3.4519)	Prec@1 19.922 (23.103)	Prec@5 46.094 (49.779)
Epoch: [37][2740/7045]	Time 0.546 (0.247)	Data 0.494 (0.185)	Loss 3.3295 (3.4517)	Prec@1 27.344 (23.106)	Prec@5 53.516 (49.779)
Epoch: [37][2750/7045]	Time 0.229 (0.247)	Data 0.172 (0.185)	Loss 3.4093 (3.4518)	Prec@1 20.703 (23.105)	Prec@5 48.828 (49.777)
Epoch: [37][2760/7045]	Time 0.484 (0.247)	Data 0.433 (0.185)	Loss 3.4481 (3.4519)	Prec@1 25.000 (23.104)	Prec@5 51.172 (49.773)
Epoch: [37][2770/7045]	Time 0.221 (0.247)	Data 0.171 (0.185)	Loss 3.5271 (3.4518)	Prec@1 22.266 (23.103)	Prec@5 46.875 (49.772)
Epoch: [37][2780/7045]	Time 0.152 (0.247)	Data 0.101 (0.185)	Loss 3.4396 (3.4519)	Prec@1 22.266 (23.103)	Prec@5 50.391 (49.767)
Epoch: [37][2790/7045]	Time 0.109 (0.247)	Data 0.058 (0.185)	Loss 3.2452 (3.4518)	Prec@1 25.000 (23.103)	Prec@5 57.422 (49.769)
Epoch: [37][2800/7045]	Time 0.101 (0.247)	Data 0.001 (0.185)	Loss 3.2714 (3.4519)	Prec@1 23.047 (23.100)	Prec@5 56.641 (49.770)
Epoch: [37][2810/7045]	Time 0.198 (0.246)	Data 0.149 (0.185)	Loss 3.6233 (3.4520)	Prec@1 17.969 (23.098)	Prec@5 44.531 (49.765)
Epoch: [37][2820/7045]	Time 0.102 (0.247)	Data 0.001 (0.185)	Loss 3.3929 (3.4519)	Prec@1 25.391 (23.098)	Prec@5 53.516 (49.767)
Epoch: [37][2830/7045]	Time 0.102 (0.246)	Data 0.048 (0.185)	Loss 3.3679 (3.4518)	Prec@1 25.000 (23.104)	Prec@5 55.469 (49.770)
Epoch: [37][2840/7045]	Time 0.103 (0.246)	Data 0.004 (0.185)	Loss 3.4404 (3.4517)	Prec@1 21.094 (23.108)	Prec@5 49.219 (49.775)
Epoch: [37][2850/7045]	Time 0.461 (0.247)	Data 0.411 (0.185)	Loss 3.2094 (3.4515)	Prec@1 25.781 (23.108)	Prec@5 53.125 (49.783)
Epoch: [37][2860/7045]	Time 0.107 (0.246)	Data 0.001 (0.185)	Loss 3.3438 (3.4517)	Prec@1 25.391 (23.101)	Prec@5 51.562 (49.778)
Epoch: [37][2870/7045]	Time 0.568 (0.247)	Data 0.517 (0.185)	Loss 3.3327 (3.4516)	Prec@1 20.312 (23.104)	Prec@5 50.781 (49.781)
Epoch: [37][2880/7045]	Time 0.168 (0.246)	Data 0.117 (0.184)	Loss 3.3832 (3.4515)	Prec@1 25.781 (23.105)	Prec@5 51.562 (49.781)
Epoch: [37][2890/7045]	Time 0.499 (0.246)	Data 0.447 (0.184)	Loss 3.3523 (3.4515)	Prec@1 27.344 (23.105)	Prec@5 46.484 (49.781)
Epoch: [37][2900/7045]	Time 0.317 (0.246)	Data 0.266 (0.184)	Loss 3.5683 (3.4515)	Prec@1 22.266 (23.107)	Prec@5 46.094 (49.781)
Epoch: [37][2910/7045]	Time 0.320 (0.246)	Data 0.269 (0.184)	Loss 3.5727 (3.4514)	Prec@1 20.312 (23.108)	Prec@5 44.531 (49.783)
Epoch: [37][2920/7045]	Time 0.258 (0.246)	Data 0.206 (0.184)	Loss 3.2747 (3.4513)	Prec@1 26.172 (23.111)	Prec@5 55.859 (49.787)
Epoch: [37][2930/7045]	Time 0.097 (0.246)	Data 0.001 (0.184)	Loss 3.3842 (3.4510)	Prec@1 22.266 (23.118)	Prec@5 49.219 (49.795)
Epoch: [37][2940/7045]	Time 0.223 (0.246)	Data 0.172 (0.184)	Loss 3.5264 (3.4510)	Prec@1 17.969 (23.116)	Prec@5 48.047 (49.793)
Epoch: [37][2950/7045]	Time 0.102 (0.246)	Data 0.048 (0.184)	Loss 3.6282 (3.4509)	Prec@1 20.703 (23.120)	Prec@5 46.094 (49.797)
Epoch: [37][2960/7045]	Time 0.106 (0.246)	Data 0.054 (0.184)	Loss 3.4282 (3.4510)	Prec@1 21.875 (23.114)	Prec@5 50.391 (49.796)
Epoch: [37][2970/7045]	Time 0.111 (0.246)	Data 0.059 (0.184)	Loss 3.1842 (3.4508)	Prec@1 25.000 (23.115)	Prec@5 56.641 (49.800)
Epoch: [37][2980/7045]	Time 0.232 (0.246)	Data 0.181 (0.184)	Loss 3.5662 (3.4508)	Prec@1 19.141 (23.111)	Prec@5 48.828 (49.800)
Epoch: [37][2990/7045]	Time 0.113 (0.246)	Data 0.063 (0.184)	Loss 3.3268 (3.4507)	Prec@1 21.094 (23.114)	Prec@5 51.953 (49.804)
Epoch: [37][3000/7045]	Time 0.491 (0.246)	Data 0.434 (0.184)	Loss 3.3965 (3.4506)	Prec@1 24.609 (23.115)	Prec@5 51.562 (49.805)
Epoch: [37][3010/7045]	Time 0.103 (0.246)	Data 0.001 (0.184)	Loss 3.4102 (3.4507)	Prec@1 22.266 (23.111)	Prec@5 50.000 (49.807)
Epoch: [37][3020/7045]	Time 0.530 (0.246)	Data 0.480 (0.184)	Loss 3.2889 (3.4506)	Prec@1 22.266 (23.111)	Prec@5 54.688 (49.810)
Epoch: [37][3030/7045]	Time 0.110 (0.246)	Data 0.059 (0.184)	Loss 3.4493 (3.4505)	Prec@1 25.000 (23.107)	Prec@5 49.219 (49.814)
Epoch: [37][3040/7045]	Time 0.303 (0.246)	Data 0.250 (0.184)	Loss 3.3617 (3.4505)	Prec@1 19.922 (23.105)	Prec@5 51.562 (49.815)
Epoch: [37][3050/7045]	Time 0.102 (0.246)	Data 0.007 (0.184)	Loss 3.4390 (3.4504)	Prec@1 21.875 (23.109)	Prec@5 49.609 (49.818)
Epoch: [37][3060/7045]	Time 0.100 (0.246)	Data 0.001 (0.184)	Loss 3.6084 (3.4504)	Prec@1 20.703 (23.109)	Prec@5 51.953 (49.819)
Epoch: [37][3070/7045]	Time 0.244 (0.246)	Data 0.194 (0.184)	Loss 3.3366 (3.4502)	Prec@1 28.125 (23.113)	Prec@5 52.344 (49.820)
Epoch: [37][3080/7045]	Time 0.327 (0.246)	Data 0.277 (0.184)	Loss 3.4175 (3.4502)	Prec@1 23.828 (23.112)	Prec@5 48.047 (49.820)
Epoch: [37][3090/7045]	Time 0.436 (0.246)	Data 0.385 (0.184)	Loss 3.3956 (3.4501)	Prec@1 23.828 (23.111)	Prec@5 49.609 (49.819)
Epoch: [37][3100/7045]	Time 0.360 (0.246)	Data 0.309 (0.184)	Loss 3.2775 (3.4500)	Prec@1 26.953 (23.110)	Prec@5 55.469 (49.823)
Epoch: [37][3110/7045]	Time 0.192 (0.246)	Data 0.142 (0.184)	Loss 3.4466 (3.4501)	Prec@1 23.438 (23.109)	Prec@5 51.953 (49.825)
Epoch: [37][3120/7045]	Time 0.193 (0.246)	Data 0.142 (0.184)	Loss 3.2082 (3.4500)	Prec@1 30.078 (23.112)	Prec@5 55.859 (49.823)
Epoch: [37][3130/7045]	Time 0.113 (0.246)	Data 0.059 (0.184)	Loss 3.3439 (3.4500)	Prec@1 29.688 (23.116)	Prec@5 57.031 (49.828)
Epoch: [37][3140/7045]	Time 0.101 (0.246)	Data 0.016 (0.184)	Loss 3.3541 (3.4499)	Prec@1 24.609 (23.117)	Prec@5 51.172 (49.828)
Epoch: [37][3150/7045]	Time 0.348 (0.246)	Data 0.297 (0.184)	Loss 3.4354 (3.4498)	Prec@1 22.656 (23.119)	Prec@5 50.781 (49.832)
Epoch: [37][3160/7045]	Time 0.225 (0.246)	Data 0.174 (0.184)	Loss 3.4184 (3.4499)	Prec@1 25.000 (23.117)	Prec@5 53.125 (49.829)
Epoch: [37][3170/7045]	Time 0.448 (0.246)	Data 0.397 (0.184)	Loss 3.3746 (3.4498)	Prec@1 23.438 (23.118)	Prec@5 51.172 (49.831)
Epoch: [37][3180/7045]	Time 0.293 (0.246)	Data 0.235 (0.184)	Loss 3.7929 (3.4499)	Prec@1 17.969 (23.114)	Prec@5 44.531 (49.831)
Epoch: [37][3190/7045]	Time 0.306 (0.246)	Data 0.256 (0.184)	Loss 3.3976 (3.4500)	Prec@1 21.875 (23.114)	Prec@5 51.172 (49.832)
Epoch: [37][3200/7045]	Time 0.348 (0.246)	Data 0.295 (0.184)	Loss 3.4872 (3.4500)	Prec@1 23.047 (23.117)	Prec@5 48.047 (49.830)
Epoch: [37][3210/7045]	Time 0.102 (0.246)	Data 0.001 (0.184)	Loss 3.4808 (3.4499)	Prec@1 23.828 (23.116)	Prec@5 47.266 (49.833)
Epoch: [37][3220/7045]	Time 0.296 (0.246)	Data 0.246 (0.184)	Loss 3.5602 (3.4499)	Prec@1 23.047 (23.118)	Prec@5 48.047 (49.831)
Epoch: [37][3230/7045]	Time 0.103 (0.246)	Data 0.004 (0.184)	Loss 3.4421 (3.4499)	Prec@1 26.172 (23.118)	Prec@5 52.734 (49.831)
Epoch: [37][3240/7045]	Time 0.105 (0.246)	Data 0.052 (0.184)	Loss 3.4691 (3.4499)	Prec@1 21.094 (23.122)	Prec@5 48.047 (49.834)
Epoch: [37][3250/7045]	Time 0.098 (0.246)	Data 0.003 (0.184)	Loss 3.6123 (3.4499)	Prec@1 20.703 (23.122)	Prec@5 44.531 (49.834)
Epoch: [37][3260/7045]	Time 0.194 (0.246)	Data 0.143 (0.184)	Loss 3.4319 (3.4499)	Prec@1 23.047 (23.121)	Prec@5 49.219 (49.836)
Epoch: [37][3270/7045]	Time 0.101 (0.246)	Data 0.003 (0.184)	Loss 3.3786 (3.4497)	Prec@1 24.609 (23.125)	Prec@5 52.344 (49.841)
Epoch: [37][3280/7045]	Time 0.393 (0.246)	Data 0.337 (0.184)	Loss 3.4755 (3.4497)	Prec@1 21.094 (23.122)	Prec@5 47.656 (49.842)
Epoch: [37][3290/7045]	Time 0.103 (0.246)	Data 0.001 (0.184)	Loss 3.2103 (3.4495)	Prec@1 27.344 (23.124)	Prec@5 55.469 (49.844)
Epoch: [37][3300/7045]	Time 0.449 (0.246)	Data 0.392 (0.184)	Loss 3.3872 (3.4495)	Prec@1 25.391 (23.123)	Prec@5 53.516 (49.847)
Epoch: [37][3310/7045]	Time 0.175 (0.246)	Data 0.123 (0.184)	Loss 3.4524 (3.4496)	Prec@1 21.094 (23.122)	Prec@5 44.922 (49.844)
Epoch: [37][3320/7045]	Time 0.365 (0.246)	Data 0.314 (0.184)	Loss 3.3894 (3.4495)	Prec@1 25.391 (23.123)	Prec@5 52.734 (49.844)
Epoch: [37][3330/7045]	Time 0.316 (0.246)	Data 0.257 (0.184)	Loss 3.3515 (3.4495)	Prec@1 27.734 (23.123)	Prec@5 53.906 (49.846)
Epoch: [37][3340/7045]	Time 0.300 (0.246)	Data 0.250 (0.184)	Loss 3.3150 (3.4492)	Prec@1 22.266 (23.130)	Prec@5 50.391 (49.854)
Epoch: [37][3350/7045]	Time 0.380 (0.246)	Data 0.329 (0.184)	Loss 3.2703 (3.4490)	Prec@1 24.609 (23.131)	Prec@5 53.125 (49.854)
Epoch: [37][3360/7045]	Time 0.156 (0.246)	Data 0.104 (0.184)	Loss 3.3166 (3.4490)	Prec@1 24.219 (23.132)	Prec@5 50.781 (49.852)
Epoch: [37][3370/7045]	Time 0.390 (0.246)	Data 0.340 (0.184)	Loss 3.3852 (3.4487)	Prec@1 26.562 (23.138)	Prec@5 51.172 (49.857)
Epoch: [37][3380/7045]	Time 0.108 (0.246)	Data 0.057 (0.184)	Loss 3.1973 (3.4487)	Prec@1 29.297 (23.139)	Prec@5 53.125 (49.856)
Epoch: [37][3390/7045]	Time 0.265 (0.246)	Data 0.213 (0.184)	Loss 3.3986 (3.4487)	Prec@1 23.047 (23.137)	Prec@5 50.391 (49.857)
Epoch: [37][3400/7045]	Time 0.110 (0.246)	Data 0.059 (0.184)	Loss 3.1889 (3.4485)	Prec@1 24.219 (23.138)	Prec@5 58.594 (49.862)
Epoch: [37][3410/7045]	Time 0.101 (0.246)	Data 0.046 (0.184)	Loss 3.3115 (3.4485)	Prec@1 22.266 (23.137)	Prec@5 51.562 (49.863)
Epoch: [37][3420/7045]	Time 0.102 (0.246)	Data 0.004 (0.184)	Loss 3.3650 (3.4485)	Prec@1 27.734 (23.140)	Prec@5 54.688 (49.866)
Epoch: [37][3430/7045]	Time 0.165 (0.246)	Data 0.115 (0.184)	Loss 3.4589 (3.4483)	Prec@1 22.656 (23.142)	Prec@5 51.172 (49.870)
Epoch: [37][3440/7045]	Time 0.107 (0.246)	Data 0.055 (0.184)	Loss 3.2727 (3.4484)	Prec@1 23.438 (23.141)	Prec@5 55.078 (49.871)
Epoch: [37][3450/7045]	Time 0.328 (0.246)	Data 0.277 (0.184)	Loss 3.5770 (3.4482)	Prec@1 19.531 (23.142)	Prec@5 48.828 (49.875)
Epoch: [37][3460/7045]	Time 0.101 (0.246)	Data 0.048 (0.184)	Loss 3.3691 (3.4480)	Prec@1 25.781 (23.148)	Prec@5 50.000 (49.879)
Epoch: [37][3470/7045]	Time 0.449 (0.246)	Data 0.398 (0.184)	Loss 3.4704 (3.4480)	Prec@1 24.609 (23.146)	Prec@5 52.344 (49.880)
Epoch: [37][3480/7045]	Time 0.437 (0.246)	Data 0.386 (0.184)	Loss 3.4583 (3.4480)	Prec@1 23.047 (23.146)	Prec@5 51.953 (49.881)
Epoch: [37][3490/7045]	Time 0.171 (0.246)	Data 0.120 (0.184)	Loss 3.5278 (3.4482)	Prec@1 24.609 (23.144)	Prec@5 49.609 (49.879)
Epoch: [37][3500/7045]	Time 0.236 (0.246)	Data 0.185 (0.184)	Loss 3.5536 (3.4481)	Prec@1 19.141 (23.145)	Prec@5 49.609 (49.882)
Epoch: [37][3510/7045]	Time 0.239 (0.246)	Data 0.188 (0.184)	Loss 3.4141 (3.4481)	Prec@1 24.219 (23.145)	Prec@5 49.609 (49.882)
Epoch: [37][3520/7045]	Time 0.161 (0.246)	Data 0.110 (0.184)	Loss 3.4381 (3.4479)	Prec@1 23.438 (23.148)	Prec@5 48.828 (49.884)
Epoch: [37][3530/7045]	Time 0.264 (0.246)	Data 0.212 (0.184)	Loss 3.5755 (3.4479)	Prec@1 19.922 (23.147)	Prec@5 49.609 (49.884)
Epoch: [37][3540/7045]	Time 0.177 (0.246)	Data 0.126 (0.184)	Loss 3.2628 (3.4477)	Prec@1 24.609 (23.149)	Prec@5 51.562 (49.887)
Epoch: [37][3550/7045]	Time 0.259 (0.246)	Data 0.203 (0.184)	Loss 3.3647 (3.4475)	Prec@1 29.297 (23.152)	Prec@5 52.344 (49.891)
Epoch: [37][3560/7045]	Time 0.137 (0.246)	Data 0.084 (0.184)	Loss 3.3515 (3.4476)	Prec@1 24.609 (23.148)	Prec@5 52.734 (49.891)
Epoch: [37][3570/7045]	Time 0.290 (0.246)	Data 0.232 (0.184)	Loss 3.5058 (3.4477)	Prec@1 19.531 (23.147)	Prec@5 47.266 (49.890)
Epoch: [37][3580/7045]	Time 0.131 (0.246)	Data 0.080 (0.184)	Loss 3.4424 (3.4475)	Prec@1 23.828 (23.149)	Prec@5 50.000 (49.895)
Epoch: [37][3590/7045]	Time 0.354 (0.246)	Data 0.297 (0.184)	Loss 3.4994 (3.4474)	Prec@1 22.266 (23.152)	Prec@5 51.172 (49.897)
Epoch: [37][3600/7045]	Time 0.103 (0.246)	Data 0.050 (0.184)	Loss 3.5244 (3.4476)	Prec@1 21.875 (23.150)	Prec@5 45.703 (49.897)
Epoch: [37][3610/7045]	Time 0.404 (0.246)	Data 0.353 (0.184)	Loss 3.5302 (3.4476)	Prec@1 20.312 (23.149)	Prec@5 46.484 (49.896)
Epoch: [37][3620/7045]	Time 0.111 (0.246)	Data 0.059 (0.184)	Loss 3.3994 (3.4474)	Prec@1 24.219 (23.148)	Prec@5 51.562 (49.901)
Epoch: [37][3630/7045]	Time 0.410 (0.246)	Data 0.355 (0.184)	Loss 3.6906 (3.4476)	Prec@1 19.531 (23.147)	Prec@5 50.391 (49.900)
Epoch: [37][3640/7045]	Time 0.103 (0.246)	Data 0.051 (0.184)	Loss 3.2304 (3.4473)	Prec@1 25.391 (23.152)	Prec@5 55.469 (49.906)
Epoch: [37][3650/7045]	Time 0.431 (0.246)	Data 0.381 (0.184)	Loss 3.3301 (3.4470)	Prec@1 26.172 (23.157)	Prec@5 52.734 (49.913)
Epoch: [37][3660/7045]	Time 0.101 (0.246)	Data 0.049 (0.184)	Loss 3.2781 (3.4469)	Prec@1 29.688 (23.158)	Prec@5 52.344 (49.914)
Epoch: [37][3670/7045]	Time 0.488 (0.246)	Data 0.438 (0.184)	Loss 3.6065 (3.4469)	Prec@1 20.703 (23.159)	Prec@5 46.875 (49.915)
Epoch: [37][3680/7045]	Time 0.102 (0.246)	Data 0.050 (0.184)	Loss 3.3860 (3.4469)	Prec@1 20.703 (23.158)	Prec@5 50.781 (49.914)
Epoch: [37][3690/7045]	Time 0.528 (0.246)	Data 0.477 (0.184)	Loss 3.4775 (3.4471)	Prec@1 21.875 (23.154)	Prec@5 47.656 (49.911)
Epoch: [37][3700/7045]	Time 0.106 (0.245)	Data 0.055 (0.184)	Loss 3.3220 (3.4470)	Prec@1 24.219 (23.156)	Prec@5 51.172 (49.912)
Epoch: [37][3710/7045]	Time 0.560 (0.246)	Data 0.508 (0.184)	Loss 3.4265 (3.4469)	Prec@1 21.484 (23.157)	Prec@5 50.000 (49.918)
Epoch: [37][3720/7045]	Time 0.102 (0.245)	Data 0.050 (0.184)	Loss 3.5683 (3.4469)	Prec@1 23.828 (23.157)	Prec@5 46.094 (49.918)
Epoch: [37][3730/7045]	Time 0.541 (0.246)	Data 0.491 (0.184)	Loss 3.5113 (3.4468)	Prec@1 22.656 (23.161)	Prec@5 50.781 (49.924)
Epoch: [37][3740/7045]	Time 0.102 (0.245)	Data 0.047 (0.184)	Loss 3.4947 (3.4467)	Prec@1 21.484 (23.159)	Prec@5 49.609 (49.924)
Epoch: [37][3750/7045]	Time 0.584 (0.245)	Data 0.534 (0.184)	Loss 3.5339 (3.4468)	Prec@1 22.656 (23.158)	Prec@5 49.609 (49.925)
Epoch: [37][3760/7045]	Time 0.102 (0.245)	Data 0.001 (0.184)	Loss 3.5059 (3.4468)	Prec@1 23.828 (23.159)	Prec@5 51.953 (49.924)
Epoch: [37][3770/7045]	Time 0.617 (0.245)	Data 0.561 (0.184)	Loss 3.4654 (3.4468)	Prec@1 21.875 (23.160)	Prec@5 48.828 (49.923)
Epoch: [37][3780/7045]	Time 0.102 (0.245)	Data 0.001 (0.183)	Loss 3.5197 (3.4465)	Prec@1 22.266 (23.165)	Prec@5 50.781 (49.932)
Epoch: [37][3790/7045]	Time 0.519 (0.245)	Data 0.469 (0.183)	Loss 3.3997 (3.4466)	Prec@1 23.828 (23.162)	Prec@5 49.219 (49.930)
Epoch: [37][3800/7045]	Time 0.102 (0.245)	Data 0.001 (0.183)	Loss 3.4628 (3.4464)	Prec@1 20.703 (23.166)	Prec@5 52.734 (49.936)
Epoch: [37][3810/7045]	Time 0.502 (0.245)	Data 0.451 (0.183)	Loss 3.4355 (3.4462)	Prec@1 22.266 (23.171)	Prec@5 49.609 (49.941)
Epoch: [37][3820/7045]	Time 0.111 (0.245)	Data 0.059 (0.183)	Loss 3.5348 (3.4463)	Prec@1 22.266 (23.170)	Prec@5 48.828 (49.939)
Epoch: [37][3830/7045]	Time 0.512 (0.245)	Data 0.461 (0.183)	Loss 3.2596 (3.4464)	Prec@1 25.000 (23.169)	Prec@5 54.297 (49.937)
Epoch: [37][3840/7045]	Time 0.185 (0.245)	Data 0.134 (0.183)	Loss 3.4715 (3.4463)	Prec@1 25.000 (23.172)	Prec@5 47.266 (49.939)
Epoch: [37][3850/7045]	Time 0.430 (0.245)	Data 0.374 (0.183)	Loss 3.4630 (3.4463)	Prec@1 21.094 (23.170)	Prec@5 51.953 (49.939)
Epoch: [37][3860/7045]	Time 0.182 (0.245)	Data 0.131 (0.183)	Loss 3.5439 (3.4464)	Prec@1 21.484 (23.168)	Prec@5 49.609 (49.935)
Epoch: [37][3870/7045]	Time 0.366 (0.245)	Data 0.308 (0.183)	Loss 3.4449 (3.4464)	Prec@1 24.609 (23.169)	Prec@5 49.609 (49.934)
Epoch: [37][3880/7045]	Time 0.211 (0.245)	Data 0.159 (0.183)	Loss 3.3447 (3.4462)	Prec@1 24.219 (23.173)	Prec@5 50.781 (49.940)
Epoch: [37][3890/7045]	Time 0.364 (0.245)	Data 0.306 (0.183)	Loss 3.5000 (3.4461)	Prec@1 18.750 (23.174)	Prec@5 48.828 (49.941)
Epoch: [37][3900/7045]	Time 0.254 (0.245)	Data 0.204 (0.183)	Loss 3.4648 (3.4461)	Prec@1 24.219 (23.173)	Prec@5 50.781 (49.942)
Epoch: [37][3910/7045]	Time 0.328 (0.245)	Data 0.277 (0.183)	Loss 3.4405 (3.4461)	Prec@1 21.875 (23.172)	Prec@5 47.656 (49.942)
Epoch: [37][3920/7045]	Time 0.265 (0.245)	Data 0.213 (0.183)	Loss 3.2391 (3.4460)	Prec@1 30.859 (23.174)	Prec@5 53.125 (49.945)
Epoch: [37][3930/7045]	Time 0.307 (0.245)	Data 0.255 (0.183)	Loss 3.4170 (3.4460)	Prec@1 23.047 (23.172)	Prec@5 51.172 (49.946)
Epoch: [37][3940/7045]	Time 0.271 (0.245)	Data 0.220 (0.183)	Loss 3.4751 (3.4459)	Prec@1 23.047 (23.175)	Prec@5 50.781 (49.947)
Epoch: [37][3950/7045]	Time 0.221 (0.245)	Data 0.171 (0.183)	Loss 3.4511 (3.4459)	Prec@1 22.266 (23.174)	Prec@5 49.609 (49.947)
Epoch: [37][3960/7045]	Time 0.286 (0.245)	Data 0.234 (0.183)	Loss 3.3740 (3.4459)	Prec@1 23.438 (23.175)	Prec@5 54.297 (49.949)
Epoch: [37][3970/7045]	Time 0.207 (0.245)	Data 0.156 (0.183)	Loss 3.3398 (3.4458)	Prec@1 24.219 (23.175)	Prec@5 52.734 (49.952)
Epoch: [37][3980/7045]	Time 0.314 (0.245)	Data 0.262 (0.183)	Loss 3.4239 (3.4457)	Prec@1 23.438 (23.175)	Prec@5 51.172 (49.954)
Epoch: [37][3990/7045]	Time 0.203 (0.245)	Data 0.153 (0.183)	Loss 3.3163 (3.4455)	Prec@1 22.266 (23.173)	Prec@5 52.734 (49.959)
Epoch: [37][4000/7045]	Time 0.278 (0.245)	Data 0.226 (0.183)	Loss 3.7427 (3.4453)	Prec@1 19.531 (23.178)	Prec@5 44.922 (49.963)
Epoch: [37][4010/7045]	Time 0.121 (0.245)	Data 0.070 (0.183)	Loss 3.2014 (3.4452)	Prec@1 24.219 (23.178)	Prec@5 55.859 (49.966)
Epoch: [37][4020/7045]	Time 0.264 (0.245)	Data 0.214 (0.183)	Loss 3.5581 (3.4452)	Prec@1 25.391 (23.178)	Prec@5 49.609 (49.965)
Epoch: [37][4030/7045]	Time 0.100 (0.245)	Data 0.007 (0.183)	Loss 3.5647 (3.4451)	Prec@1 23.438 (23.181)	Prec@5 48.828 (49.967)
Epoch: [37][4040/7045]	Time 0.251 (0.245)	Data 0.200 (0.183)	Loss 3.6406 (3.4451)	Prec@1 18.750 (23.184)	Prec@5 45.312 (49.968)
Epoch: [37][4050/7045]	Time 0.102 (0.245)	Data 0.005 (0.183)	Loss 3.3822 (3.4450)	Prec@1 23.438 (23.184)	Prec@5 51.953 (49.972)
Epoch: [37][4060/7045]	Time 0.181 (0.245)	Data 0.130 (0.183)	Loss 3.4011 (3.4449)	Prec@1 26.953 (23.183)	Prec@5 52.344 (49.972)
Epoch: [37][4070/7045]	Time 0.102 (0.245)	Data 0.006 (0.183)	Loss 3.2972 (3.4447)	Prec@1 24.609 (23.184)	Prec@5 52.344 (49.976)
Epoch: [37][4080/7045]	Time 0.195 (0.245)	Data 0.144 (0.183)	Loss 3.4328 (3.4447)	Prec@1 26.172 (23.186)	Prec@5 50.781 (49.977)
Epoch: [37][4090/7045]	Time 0.099 (0.245)	Data 0.048 (0.183)	Loss 3.4714 (3.4447)	Prec@1 22.266 (23.183)	Prec@5 49.609 (49.977)
Epoch: [37][4100/7045]	Time 0.246 (0.245)	Data 0.196 (0.183)	Loss 3.4351 (3.4446)	Prec@1 23.828 (23.187)	Prec@5 46.484 (49.977)
Epoch: [37][4110/7045]	Time 0.106 (0.245)	Data 0.054 (0.183)	Loss 3.4345 (3.4446)	Prec@1 25.391 (23.188)	Prec@5 50.781 (49.975)
Epoch: [37][4120/7045]	Time 0.287 (0.245)	Data 0.235 (0.183)	Loss 3.4698 (3.4447)	Prec@1 22.656 (23.188)	Prec@5 51.953 (49.974)
Epoch: [37][4130/7045]	Time 0.102 (0.245)	Data 0.002 (0.183)	Loss 3.3780 (3.4447)	Prec@1 21.875 (23.186)	Prec@5 54.688 (49.976)
Epoch: [37][4140/7045]	Time 0.267 (0.245)	Data 0.215 (0.183)	Loss 3.5298 (3.4447)	Prec@1 26.562 (23.187)	Prec@5 46.094 (49.974)
Epoch: [37][4150/7045]	Time 0.102 (0.245)	Data 0.001 (0.183)	Loss 3.4277 (3.4447)	Prec@1 27.734 (23.190)	Prec@5 51.562 (49.973)
Epoch: [37][4160/7045]	Time 0.269 (0.245)	Data 0.218 (0.183)	Loss 3.2985 (3.4446)	Prec@1 26.953 (23.194)	Prec@5 55.078 (49.975)
Epoch: [37][4170/7045]	Time 0.102 (0.245)	Data 0.005 (0.183)	Loss 3.5243 (3.4447)	Prec@1 23.828 (23.191)	Prec@5 49.219 (49.972)
Epoch: [37][4180/7045]	Time 0.299 (0.245)	Data 0.248 (0.183)	Loss 3.3305 (3.4447)	Prec@1 24.609 (23.189)	Prec@5 52.344 (49.970)
Epoch: [37][4190/7045]	Time 0.100 (0.245)	Data 0.007 (0.183)	Loss 3.3423 (3.4446)	Prec@1 25.391 (23.191)	Prec@5 56.641 (49.975)
Epoch: [37][4200/7045]	Time 0.298 (0.245)	Data 0.246 (0.183)	Loss 3.4052 (3.4444)	Prec@1 24.219 (23.195)	Prec@5 49.609 (49.980)
Epoch: [37][4210/7045]	Time 0.101 (0.245)	Data 0.004 (0.183)	Loss 3.3920 (3.4444)	Prec@1 22.266 (23.194)	Prec@5 50.781 (49.980)
Epoch: [37][4220/7045]	Time 0.402 (0.245)	Data 0.351 (0.183)	Loss 3.4070 (3.4444)	Prec@1 24.609 (23.195)	Prec@5 49.609 (49.981)
Epoch: [37][4230/7045]	Time 0.191 (0.245)	Data 0.138 (0.183)	Loss 3.4057 (3.4444)	Prec@1 22.656 (23.192)	Prec@5 53.516 (49.983)
Epoch: [37][4240/7045]	Time 0.447 (0.245)	Data 0.390 (0.183)	Loss 3.4499 (3.4444)	Prec@1 24.609 (23.197)	Prec@5 49.609 (49.982)
Epoch: [37][4250/7045]	Time 0.353 (0.245)	Data 0.297 (0.183)	Loss 3.4497 (3.4444)	Prec@1 23.438 (23.193)	Prec@5 50.391 (49.980)
Epoch: [37][4260/7045]	Time 0.335 (0.245)	Data 0.285 (0.183)	Loss 3.5279 (3.4443)	Prec@1 25.391 (23.196)	Prec@5 46.875 (49.980)
Epoch: [37][4270/7045]	Time 0.355 (0.245)	Data 0.304 (0.183)	Loss 3.4872 (3.4444)	Prec@1 20.703 (23.193)	Prec@5 53.906 (49.979)
Epoch: [37][4280/7045]	Time 0.106 (0.245)	Data 0.004 (0.183)	Loss 3.4818 (3.4443)	Prec@1 24.609 (23.196)	Prec@5 49.609 (49.981)
Epoch: [37][4290/7045]	Time 0.276 (0.245)	Data 0.226 (0.183)	Loss 3.5137 (3.4442)	Prec@1 23.828 (23.197)	Prec@5 46.094 (49.982)
Epoch: [37][4300/7045]	Time 0.109 (0.245)	Data 0.008 (0.183)	Loss 3.4458 (3.4441)	Prec@1 24.609 (23.199)	Prec@5 50.391 (49.984)
Epoch: [37][4310/7045]	Time 0.131 (0.245)	Data 0.080 (0.183)	Loss 3.4124 (3.4441)	Prec@1 23.828 (23.200)	Prec@5 50.000 (49.982)
Epoch: [37][4320/7045]	Time 0.102 (0.245)	Data 0.047 (0.183)	Loss 3.2814 (3.4440)	Prec@1 30.078 (23.203)	Prec@5 53.906 (49.983)
Epoch: [37][4330/7045]	Time 0.155 (0.245)	Data 0.105 (0.183)	Loss 3.4325 (3.4440)	Prec@1 25.000 (23.202)	Prec@5 47.656 (49.983)
Epoch: [37][4340/7045]	Time 0.102 (0.245)	Data 0.049 (0.183)	Loss 3.1673 (3.4439)	Prec@1 26.953 (23.202)	Prec@5 54.688 (49.985)
Epoch: [37][4350/7045]	Time 0.414 (0.245)	Data 0.362 (0.183)	Loss 3.2806 (3.4440)	Prec@1 25.391 (23.201)	Prec@5 53.516 (49.983)
Epoch: [37][4360/7045]	Time 0.105 (0.245)	Data 0.053 (0.183)	Loss 3.3128 (3.4440)	Prec@1 24.219 (23.202)	Prec@5 54.688 (49.983)
Epoch: [37][4370/7045]	Time 0.658 (0.245)	Data 0.599 (0.183)	Loss 3.6608 (3.4440)	Prec@1 18.750 (23.199)	Prec@5 47.656 (49.983)
Epoch: [37][4380/7045]	Time 0.122 (0.245)	Data 0.071 (0.183)	Loss 3.4659 (3.4441)	Prec@1 25.000 (23.202)	Prec@5 50.391 (49.984)
Epoch: [37][4390/7045]	Time 0.554 (0.245)	Data 0.503 (0.183)	Loss 3.3615 (3.4440)	Prec@1 22.266 (23.201)	Prec@5 48.047 (49.983)
Epoch: [37][4400/7045]	Time 0.146 (0.245)	Data 0.096 (0.183)	Loss 3.3074 (3.4439)	Prec@1 22.656 (23.199)	Prec@5 50.000 (49.984)
Epoch: [37][4410/7045]	Time 0.372 (0.245)	Data 0.322 (0.183)	Loss 3.5638 (3.4439)	Prec@1 20.703 (23.202)	Prec@5 50.781 (49.988)
Epoch: [37][4420/7045]	Time 0.183 (0.245)	Data 0.131 (0.183)	Loss 3.4675 (3.4440)	Prec@1 26.172 (23.203)	Prec@5 47.266 (49.987)
Epoch: [37][4430/7045]	Time 0.142 (0.245)	Data 0.090 (0.183)	Loss 3.5137 (3.4439)	Prec@1 22.656 (23.203)	Prec@5 48.047 (49.987)
Epoch: [37][4440/7045]	Time 0.105 (0.245)	Data 0.053 (0.183)	Loss 3.5296 (3.4440)	Prec@1 25.391 (23.202)	Prec@5 47.266 (49.987)
Epoch: [37][4450/7045]	Time 0.107 (0.245)	Data 0.007 (0.183)	Loss 3.4230 (3.4439)	Prec@1 22.656 (23.203)	Prec@5 50.781 (49.991)
Epoch: [37][4460/7045]	Time 0.101 (0.245)	Data 0.001 (0.183)	Loss 3.3861 (3.4438)	Prec@1 24.219 (23.205)	Prec@5 49.609 (49.992)
Epoch: [37][4470/7045]	Time 0.101 (0.245)	Data 0.001 (0.183)	Loss 3.1945 (3.4435)	Prec@1 28.125 (23.214)	Prec@5 57.031 (49.998)
Epoch: [37][4480/7045]	Time 0.180 (0.245)	Data 0.128 (0.183)	Loss 3.2700 (3.4434)	Prec@1 24.609 (23.215)	Prec@5 53.906 (49.998)
Epoch: [37][4490/7045]	Time 0.102 (0.245)	Data 0.002 (0.183)	Loss 3.2608 (3.4433)	Prec@1 26.953 (23.216)	Prec@5 57.031 (50.002)
Epoch: [37][4500/7045]	Time 0.429 (0.245)	Data 0.378 (0.183)	Loss 3.3812 (3.4433)	Prec@1 27.344 (23.219)	Prec@5 51.172 (50.004)
Epoch: [37][4510/7045]	Time 0.101 (0.245)	Data 0.004 (0.183)	Loss 3.3280 (3.4431)	Prec@1 25.391 (23.222)	Prec@5 51.172 (50.007)
Epoch: [37][4520/7045]	Time 0.609 (0.245)	Data 0.557 (0.183)	Loss 3.4441 (3.4430)	Prec@1 23.047 (23.222)	Prec@5 51.562 (50.011)
Epoch: [37][4530/7045]	Time 0.109 (0.245)	Data 0.001 (0.183)	Loss 3.2720 (3.4430)	Prec@1 26.562 (23.221)	Prec@5 52.734 (50.011)
Epoch: [37][4540/7045]	Time 0.630 (0.245)	Data 0.580 (0.183)	Loss 3.3659 (3.4429)	Prec@1 22.266 (23.218)	Prec@5 49.609 (50.010)
Epoch: [37][4550/7045]	Time 0.173 (0.245)	Data 0.122 (0.183)	Loss 3.3434 (3.4430)	Prec@1 23.438 (23.218)	Prec@5 52.344 (50.010)
Epoch: [37][4560/7045]	Time 0.545 (0.245)	Data 0.493 (0.183)	Loss 3.3982 (3.4430)	Prec@1 25.000 (23.219)	Prec@5 49.609 (50.008)
Epoch: [37][4570/7045]	Time 0.154 (0.245)	Data 0.103 (0.183)	Loss 3.0887 (3.4428)	Prec@1 28.906 (23.225)	Prec@5 54.297 (50.013)
Epoch: [37][4580/7045]	Time 0.363 (0.245)	Data 0.311 (0.183)	Loss 3.4310 (3.4427)	Prec@1 25.781 (23.230)	Prec@5 49.609 (50.016)
Epoch: [37][4590/7045]	Time 0.141 (0.245)	Data 0.090 (0.183)	Loss 3.3050 (3.4425)	Prec@1 28.125 (23.233)	Prec@5 54.297 (50.019)
Epoch: [37][4600/7045]	Time 0.107 (0.245)	Data 0.044 (0.183)	Loss 3.3302 (3.4424)	Prec@1 22.656 (23.233)	Prec@5 51.562 (50.019)
Epoch: [37][4610/7045]	Time 0.102 (0.245)	Data 0.001 (0.183)	Loss 3.6437 (3.4425)	Prec@1 19.531 (23.231)	Prec@5 46.875 (50.020)
Epoch: [37][4620/7045]	Time 0.106 (0.245)	Data 0.046 (0.183)	Loss 3.4717 (3.4424)	Prec@1 24.219 (23.231)	Prec@5 49.609 (50.022)
Epoch: [37][4630/7045]	Time 0.102 (0.245)	Data 0.001 (0.183)	Loss 3.4225 (3.4424)	Prec@1 25.391 (23.232)	Prec@5 49.219 (50.022)
Epoch: [37][4640/7045]	Time 0.109 (0.245)	Data 0.056 (0.183)	Loss 3.4626 (3.4423)	Prec@1 24.609 (23.234)	Prec@5 47.656 (50.023)
Epoch: [37][4650/7045]	Time 0.158 (0.245)	Data 0.106 (0.183)	Loss 3.5838 (3.4422)	Prec@1 19.141 (23.234)	Prec@5 48.047 (50.026)
Epoch: [37][4660/7045]	Time 0.102 (0.245)	Data 0.046 (0.183)	Loss 3.6186 (3.4422)	Prec@1 21.094 (23.234)	Prec@5 46.484 (50.027)
Epoch: [37][4670/7045]	Time 0.349 (0.245)	Data 0.298 (0.183)	Loss 3.4421 (3.4423)	Prec@1 22.266 (23.232)	Prec@5 50.781 (50.026)
Epoch: [37][4680/7045]	Time 0.103 (0.245)	Data 0.005 (0.183)	Loss 3.3398 (3.4423)	Prec@1 26.172 (23.232)	Prec@5 52.734 (50.027)
Epoch: [37][4690/7045]	Time 0.577 (0.245)	Data 0.520 (0.183)	Loss 3.5214 (3.4422)	Prec@1 23.438 (23.233)	Prec@5 49.609 (50.028)
Epoch: [37][4700/7045]	Time 0.106 (0.245)	Data 0.001 (0.183)	Loss 3.2856 (3.4421)	Prec@1 23.828 (23.235)	Prec@5 51.953 (50.030)
Epoch: [37][4710/7045]	Time 0.599 (0.245)	Data 0.547 (0.183)	Loss 3.3277 (3.4421)	Prec@1 27.344 (23.236)	Prec@5 55.078 (50.029)
Epoch: [37][4720/7045]	Time 0.103 (0.245)	Data 0.006 (0.183)	Loss 3.4466 (3.4421)	Prec@1 23.047 (23.236)	Prec@5 50.000 (50.030)
Epoch: [37][4730/7045]	Time 0.511 (0.245)	Data 0.459 (0.183)	Loss 3.3372 (3.4422)	Prec@1 25.391 (23.233)	Prec@5 52.344 (50.028)
Epoch: [37][4740/7045]	Time 0.102 (0.244)	Data 0.003 (0.183)	Loss 3.4262 (3.4421)	Prec@1 26.172 (23.234)	Prec@5 48.047 (50.031)
Epoch: [37][4750/7045]	Time 0.464 (0.245)	Data 0.412 (0.183)	Loss 3.6679 (3.4421)	Prec@1 21.094 (23.233)	Prec@5 44.531 (50.029)
Epoch: [37][4760/7045]	Time 0.102 (0.244)	Data 0.001 (0.183)	Loss 3.2524 (3.4421)	Prec@1 26.172 (23.235)	Prec@5 51.172 (50.027)
Epoch: [37][4770/7045]	Time 0.275 (0.245)	Data 0.217 (0.183)	Loss 3.3720 (3.4421)	Prec@1 27.734 (23.233)	Prec@5 48.047 (50.025)
Epoch: [37][4780/7045]	Time 0.101 (0.244)	Data 0.007 (0.183)	Loss 3.5808 (3.4421)	Prec@1 23.047 (23.232)	Prec@5 46.484 (50.024)
Epoch: [37][4790/7045]	Time 0.110 (0.245)	Data 0.001 (0.183)	Loss 3.6002 (3.4422)	Prec@1 20.312 (23.230)	Prec@5 46.094 (50.023)
Epoch: [37][4800/7045]	Time 0.102 (0.244)	Data 0.001 (0.183)	Loss 3.4000 (3.4423)	Prec@1 28.516 (23.230)	Prec@5 49.219 (50.019)
Epoch: [37][4810/7045]	Time 0.108 (0.244)	Data 0.005 (0.183)	Loss 3.4490 (3.4423)	Prec@1 26.953 (23.234)	Prec@5 50.391 (50.019)
Epoch: [37][4820/7045]	Time 0.106 (0.244)	Data 0.054 (0.183)	Loss 3.2097 (3.4421)	Prec@1 26.172 (23.236)	Prec@5 51.562 (50.023)
Epoch: [37][4830/7045]	Time 0.102 (0.244)	Data 0.008 (0.183)	Loss 3.4037 (3.4420)	Prec@1 24.219 (23.240)	Prec@5 50.391 (50.024)
Epoch: [37][4840/7045]	Time 0.265 (0.244)	Data 0.214 (0.182)	Loss 3.3725 (3.4419)	Prec@1 21.875 (23.241)	Prec@5 49.609 (50.024)
Epoch: [37][4850/7045]	Time 0.101 (0.244)	Data 0.001 (0.182)	Loss 3.2848 (3.4418)	Prec@1 26.953 (23.244)	Prec@5 51.953 (50.026)
Epoch: [37][4860/7045]	Time 0.493 (0.244)	Data 0.442 (0.182)	Loss 3.4606 (3.4418)	Prec@1 22.656 (23.246)	Prec@5 45.312 (50.026)
Epoch: [37][4870/7045]	Time 0.101 (0.244)	Data 0.049 (0.182)	Loss 3.3859 (3.4416)	Prec@1 26.172 (23.247)	Prec@5 53.516 (50.030)
Epoch: [37][4880/7045]	Time 0.674 (0.244)	Data 0.617 (0.182)	Loss 3.3060 (3.4416)	Prec@1 25.000 (23.247)	Prec@5 53.906 (50.031)
Epoch: [37][4890/7045]	Time 0.111 (0.244)	Data 0.060 (0.182)	Loss 3.4849 (3.4415)	Prec@1 23.047 (23.247)	Prec@5 53.516 (50.034)
Epoch: [37][4900/7045]	Time 0.598 (0.244)	Data 0.547 (0.182)	Loss 3.5027 (3.4415)	Prec@1 19.531 (23.245)	Prec@5 49.609 (50.032)
Epoch: [37][4910/7045]	Time 0.102 (0.244)	Data 0.046 (0.182)	Loss 3.5321 (3.4415)	Prec@1 20.312 (23.244)	Prec@5 48.047 (50.031)
Epoch: [37][4920/7045]	Time 0.659 (0.244)	Data 0.608 (0.182)	Loss 3.4489 (3.4415)	Prec@1 19.531 (23.242)	Prec@5 51.562 (50.031)
Epoch: [37][4930/7045]	Time 0.102 (0.244)	Data 0.002 (0.182)	Loss 3.3015 (3.4414)	Prec@1 27.344 (23.244)	Prec@5 55.859 (50.030)
Epoch: [37][4940/7045]	Time 0.501 (0.244)	Data 0.442 (0.182)	Loss 3.6254 (3.4414)	Prec@1 19.531 (23.242)	Prec@5 42.969 (50.028)
Epoch: [37][4950/7045]	Time 0.100 (0.244)	Data 0.047 (0.182)	Loss 3.4397 (3.4414)	Prec@1 20.312 (23.243)	Prec@5 49.219 (50.030)
Epoch: [37][4960/7045]	Time 0.245 (0.244)	Data 0.193 (0.182)	Loss 3.4866 (3.4413)	Prec@1 23.438 (23.244)	Prec@5 49.219 (50.031)
Epoch: [37][4970/7045]	Time 0.101 (0.244)	Data 0.045 (0.182)	Loss 3.5776 (3.4414)	Prec@1 17.188 (23.242)	Prec@5 47.266 (50.030)
Epoch: [37][4980/7045]	Time 0.106 (0.244)	Data 0.001 (0.182)	Loss 3.2463 (3.4412)	Prec@1 23.828 (23.243)	Prec@5 53.516 (50.031)
Epoch: [37][4990/7045]	Time 0.102 (0.244)	Data 0.001 (0.182)	Loss 3.5389 (3.4412)	Prec@1 20.703 (23.244)	Prec@5 48.828 (50.033)
Epoch: [37][5000/7045]	Time 0.124 (0.244)	Data 0.067 (0.182)	Loss 3.5778 (3.4410)	Prec@1 21.484 (23.247)	Prec@5 47.656 (50.036)
Epoch: [37][5010/7045]	Time 0.106 (0.244)	Data 0.053 (0.182)	Loss 3.2248 (3.4408)	Prec@1 25.391 (23.249)	Prec@5 52.734 (50.040)
Epoch: [37][5020/7045]	Time 0.130 (0.244)	Data 0.079 (0.182)	Loss 3.2810 (3.4408)	Prec@1 26.562 (23.249)	Prec@5 50.781 (50.039)
Epoch: [37][5030/7045]	Time 0.208 (0.244)	Data 0.156 (0.182)	Loss 3.4194 (3.4406)	Prec@1 23.828 (23.253)	Prec@5 47.266 (50.041)
Epoch: [37][5040/7045]	Time 0.127 (0.244)	Data 0.076 (0.182)	Loss 3.2926 (3.4406)	Prec@1 29.688 (23.253)	Prec@5 54.688 (50.041)
Epoch: [37][5050/7045]	Time 0.485 (0.244)	Data 0.434 (0.182)	Loss 3.3341 (3.4404)	Prec@1 25.000 (23.254)	Prec@5 53.906 (50.042)
Epoch: [37][5060/7045]	Time 0.146 (0.244)	Data 0.095 (0.182)	Loss 3.4561 (3.4404)	Prec@1 21.484 (23.253)	Prec@5 50.000 (50.045)
Epoch: [37][5070/7045]	Time 0.726 (0.244)	Data 0.669 (0.182)	Loss 3.2880 (3.4404)	Prec@1 24.609 (23.251)	Prec@5 51.172 (50.045)
Epoch: [37][5080/7045]	Time 0.101 (0.244)	Data 0.001 (0.182)	Loss 3.3038 (3.4403)	Prec@1 26.562 (23.250)	Prec@5 53.906 (50.047)
Epoch: [37][5090/7045]	Time 0.598 (0.244)	Data 0.547 (0.182)	Loss 3.6133 (3.4403)	Prec@1 16.797 (23.248)	Prec@5 50.391 (50.047)
Epoch: [37][5100/7045]	Time 0.101 (0.244)	Data 0.006 (0.182)	Loss 3.5106 (3.4403)	Prec@1 21.094 (23.247)	Prec@5 46.875 (50.045)
Epoch: [37][5110/7045]	Time 0.455 (0.244)	Data 0.396 (0.182)	Loss 3.5210 (3.4404)	Prec@1 21.484 (23.247)	Prec@5 49.219 (50.044)
Epoch: [37][5120/7045]	Time 0.101 (0.244)	Data 0.048 (0.182)	Loss 3.3952 (3.4403)	Prec@1 26.562 (23.249)	Prec@5 51.172 (50.047)
Epoch: [37][5130/7045]	Time 0.206 (0.244)	Data 0.154 (0.182)	Loss 3.3257 (3.4402)	Prec@1 20.312 (23.248)	Prec@5 51.562 (50.046)
Epoch: [37][5140/7045]	Time 0.102 (0.244)	Data 0.050 (0.182)	Loss 3.4355 (3.4402)	Prec@1 23.828 (23.249)	Prec@5 47.656 (50.045)
Epoch: [37][5150/7045]	Time 0.112 (0.244)	Data 0.001 (0.182)	Loss 3.4677 (3.4403)	Prec@1 20.703 (23.246)	Prec@5 50.000 (50.042)
Epoch: [37][5160/7045]	Time 0.102 (0.244)	Data 0.001 (0.182)	Loss 3.3666 (3.4403)	Prec@1 25.781 (23.248)	Prec@5 53.516 (50.042)
Epoch: [37][5170/7045]	Time 0.101 (0.244)	Data 0.001 (0.182)	Loss 3.4653 (3.4404)	Prec@1 25.000 (23.250)	Prec@5 52.734 (50.040)
Epoch: [37][5180/7045]	Time 0.170 (0.244)	Data 0.119 (0.182)	Loss 3.3509 (3.4404)	Prec@1 19.922 (23.247)	Prec@5 50.781 (50.038)
Epoch: [37][5190/7045]	Time 0.103 (0.244)	Data 0.048 (0.182)	Loss 3.4623 (3.4404)	Prec@1 24.609 (23.247)	Prec@5 49.609 (50.039)
Epoch: [37][5200/7045]	Time 0.374 (0.244)	Data 0.323 (0.182)	Loss 3.4396 (3.4402)	Prec@1 23.828 (23.248)	Prec@5 48.438 (50.040)
Epoch: [37][5210/7045]	Time 0.102 (0.244)	Data 0.046 (0.182)	Loss 3.5447 (3.4404)	Prec@1 23.047 (23.246)	Prec@5 49.609 (50.038)
Epoch: [37][5220/7045]	Time 0.615 (0.244)	Data 0.559 (0.182)	Loss 3.4490 (3.4404)	Prec@1 27.344 (23.246)	Prec@5 49.219 (50.038)
Epoch: [37][5230/7045]	Time 0.107 (0.244)	Data 0.001 (0.182)	Loss 3.5281 (3.4406)	Prec@1 21.875 (23.245)	Prec@5 49.219 (50.036)
Epoch: [37][5240/7045]	Time 0.633 (0.244)	Data 0.583 (0.182)	Loss 3.5272 (3.4406)	Prec@1 23.438 (23.244)	Prec@5 50.781 (50.036)
Epoch: [37][5250/7045]	Time 0.102 (0.244)	Data 0.001 (0.182)	Loss 3.4901 (3.4406)	Prec@1 22.266 (23.245)	Prec@5 49.219 (50.035)
Epoch: [37][5260/7045]	Time 0.571 (0.244)	Data 0.520 (0.182)	Loss 3.3027 (3.4406)	Prec@1 24.609 (23.244)	Prec@5 51.172 (50.036)
Epoch: [37][5270/7045]	Time 0.103 (0.244)	Data 0.051 (0.182)	Loss 3.2529 (3.4406)	Prec@1 29.688 (23.244)	Prec@5 54.297 (50.034)
Epoch: [37][5280/7045]	Time 0.503 (0.244)	Data 0.445 (0.182)	Loss 3.5312 (3.4406)	Prec@1 23.828 (23.246)	Prec@5 48.047 (50.036)
Epoch: [37][5290/7045]	Time 0.110 (0.244)	Data 0.058 (0.182)	Loss 3.5136 (3.4407)	Prec@1 22.656 (23.245)	Prec@5 49.219 (50.034)
Epoch: [37][5300/7045]	Time 0.480 (0.244)	Data 0.422 (0.182)	Loss 3.3873 (3.4408)	Prec@1 20.312 (23.243)	Prec@5 51.172 (50.033)
Epoch: [37][5310/7045]	Time 0.114 (0.244)	Data 0.063 (0.182)	Loss 3.4815 (3.4409)	Prec@1 24.219 (23.240)	Prec@5 50.391 (50.031)
Epoch: [37][5320/7045]	Time 0.454 (0.244)	Data 0.403 (0.182)	Loss 3.4896 (3.4409)	Prec@1 23.438 (23.241)	Prec@5 50.391 (50.032)
Epoch: [37][5330/7045]	Time 0.111 (0.244)	Data 0.059 (0.182)	Loss 3.4250 (3.4409)	Prec@1 23.828 (23.244)	Prec@5 51.562 (50.032)
Epoch: [37][5340/7045]	Time 0.436 (0.244)	Data 0.378 (0.182)	Loss 3.4749 (3.4407)	Prec@1 21.484 (23.247)	Prec@5 47.656 (50.037)
Epoch: [37][5350/7045]	Time 0.168 (0.244)	Data 0.118 (0.182)	Loss 3.4648 (3.4408)	Prec@1 23.438 (23.248)	Prec@5 51.172 (50.033)
Epoch: [37][5360/7045]	Time 0.403 (0.244)	Data 0.352 (0.182)	Loss 3.5086 (3.4409)	Prec@1 21.094 (23.247)	Prec@5 50.000 (50.034)
Epoch: [37][5370/7045]	Time 0.160 (0.244)	Data 0.109 (0.182)	Loss 3.4399 (3.4409)	Prec@1 24.609 (23.247)	Prec@5 50.000 (50.036)
Epoch: [37][5380/7045]	Time 0.392 (0.244)	Data 0.342 (0.182)	Loss 3.5071 (3.4409)	Prec@1 20.312 (23.245)	Prec@5 47.266 (50.035)
Epoch: [37][5390/7045]	Time 0.140 (0.244)	Data 0.089 (0.182)	Loss 3.5917 (3.4409)	Prec@1 21.875 (23.246)	Prec@5 48.438 (50.037)
Epoch: [37][5400/7045]	Time 0.358 (0.244)	Data 0.307 (0.182)	Loss 3.2944 (3.4408)	Prec@1 23.438 (23.246)	Prec@5 53.516 (50.039)
Epoch: [37][5410/7045]	Time 0.182 (0.244)	Data 0.132 (0.182)	Loss 3.5859 (3.4409)	Prec@1 22.266 (23.244)	Prec@5 48.047 (50.038)
Epoch: [37][5420/7045]	Time 0.386 (0.244)	Data 0.335 (0.182)	Loss 3.4125 (3.4408)	Prec@1 24.609 (23.247)	Prec@5 50.000 (50.040)
Epoch: [37][5430/7045]	Time 0.217 (0.244)	Data 0.166 (0.182)	Loss 3.3024 (3.4407)	Prec@1 23.438 (23.247)	Prec@5 52.344 (50.042)
Epoch: [37][5440/7045]	Time 0.391 (0.244)	Data 0.340 (0.182)	Loss 3.3996 (3.4407)	Prec@1 20.703 (23.246)	Prec@5 51.562 (50.044)
Epoch: [37][5450/7045]	Time 0.239 (0.244)	Data 0.187 (0.182)	Loss 3.5558 (3.4406)	Prec@1 20.312 (23.249)	Prec@5 48.438 (50.046)
Epoch: [37][5460/7045]	Time 0.343 (0.244)	Data 0.292 (0.182)	Loss 3.2667 (3.4405)	Prec@1 24.609 (23.249)	Prec@5 54.688 (50.049)
Epoch: [37][5470/7045]	Time 0.231 (0.244)	Data 0.181 (0.182)	Loss 3.5309 (3.4405)	Prec@1 23.047 (23.250)	Prec@5 47.656 (50.048)
Epoch: [37][5480/7045]	Time 0.278 (0.244)	Data 0.228 (0.182)	Loss 3.2225 (3.4403)	Prec@1 25.781 (23.252)	Prec@5 55.078 (50.052)
Epoch: [37][5490/7045]	Time 0.247 (0.244)	Data 0.195 (0.182)	Loss 3.5823 (3.4403)	Prec@1 21.484 (23.251)	Prec@5 51.172 (50.054)
Epoch: [37][5500/7045]	Time 0.249 (0.244)	Data 0.199 (0.182)	Loss 3.5064 (3.4403)	Prec@1 23.828 (23.250)	Prec@5 48.828 (50.055)
Epoch: [37][5510/7045]	Time 0.248 (0.244)	Data 0.197 (0.182)	Loss 3.2586 (3.4403)	Prec@1 23.047 (23.250)	Prec@5 59.766 (50.056)
Epoch: [37][5520/7045]	Time 0.178 (0.244)	Data 0.126 (0.182)	Loss 3.1998 (3.4402)	Prec@1 26.953 (23.250)	Prec@5 55.859 (50.057)
Epoch: [37][5530/7045]	Time 0.233 (0.244)	Data 0.182 (0.182)	Loss 3.5484 (3.4402)	Prec@1 17.578 (23.249)	Prec@5 48.438 (50.060)
Epoch: [37][5540/7045]	Time 0.198 (0.244)	Data 0.147 (0.182)	Loss 3.4902 (3.4401)	Prec@1 19.922 (23.249)	Prec@5 53.516 (50.062)
Epoch: [37][5550/7045]	Time 0.270 (0.244)	Data 0.219 (0.182)	Loss 3.2866 (3.4400)	Prec@1 26.953 (23.250)	Prec@5 54.688 (50.065)
Epoch: [37][5560/7045]	Time 0.158 (0.244)	Data 0.108 (0.182)	Loss 3.3853 (3.4401)	Prec@1 25.781 (23.251)	Prec@5 52.344 (50.064)
Epoch: [37][5570/7045]	Time 0.278 (0.244)	Data 0.225 (0.182)	Loss 3.4574 (3.4401)	Prec@1 21.875 (23.251)	Prec@5 49.609 (50.063)
Epoch: [37][5580/7045]	Time 0.117 (0.244)	Data 0.066 (0.182)	Loss 3.2367 (3.4400)	Prec@1 24.219 (23.253)	Prec@5 57.031 (50.066)
Epoch: [37][5590/7045]	Time 0.278 (0.244)	Data 0.228 (0.182)	Loss 3.3674 (3.4399)	Prec@1 23.828 (23.253)	Prec@5 50.781 (50.068)
Epoch: [37][5600/7045]	Time 0.109 (0.244)	Data 0.058 (0.182)	Loss 3.4218 (3.4400)	Prec@1 24.219 (23.254)	Prec@5 53.125 (50.068)
Epoch: [37][5610/7045]	Time 0.310 (0.244)	Data 0.259 (0.182)	Loss 3.4927 (3.4400)	Prec@1 26.172 (23.255)	Prec@5 47.266 (50.068)
Epoch: [37][5620/7045]	Time 0.100 (0.244)	Data 0.046 (0.182)	Loss 3.3640 (3.4399)	Prec@1 24.609 (23.256)	Prec@5 53.516 (50.071)
Epoch: [37][5630/7045]	Time 0.391 (0.244)	Data 0.341 (0.182)	Loss 3.5718 (3.4399)	Prec@1 21.094 (23.256)	Prec@5 46.484 (50.072)
Epoch: [37][5640/7045]	Time 0.101 (0.244)	Data 0.005 (0.182)	Loss 3.6598 (3.4399)	Prec@1 16.406 (23.255)	Prec@5 47.656 (50.073)
Epoch: [37][5650/7045]	Time 0.363 (0.244)	Data 0.313 (0.182)	Loss 3.6065 (3.4400)	Prec@1 17.188 (23.252)	Prec@5 46.094 (50.072)
Epoch: [37][5660/7045]	Time 0.102 (0.244)	Data 0.002 (0.182)	Loss 3.3000 (3.4400)	Prec@1 27.734 (23.254)	Prec@5 50.000 (50.074)
Epoch: [37][5670/7045]	Time 0.377 (0.244)	Data 0.325 (0.182)	Loss 3.5426 (3.4399)	Prec@1 19.141 (23.254)	Prec@5 47.656 (50.075)
Epoch: [37][5680/7045]	Time 0.101 (0.244)	Data 0.001 (0.182)	Loss 3.4584 (3.4400)	Prec@1 21.484 (23.256)	Prec@5 50.000 (50.075)
Epoch: [37][5690/7045]	Time 0.347 (0.244)	Data 0.296 (0.182)	Loss 3.2369 (3.4400)	Prec@1 25.391 (23.257)	Prec@5 55.469 (50.075)
Epoch: [37][5700/7045]	Time 0.101 (0.244)	Data 0.001 (0.182)	Loss 3.3349 (3.4399)	Prec@1 25.000 (23.256)	Prec@5 52.734 (50.077)
Epoch: [37][5710/7045]	Time 0.348 (0.244)	Data 0.296 (0.182)	Loss 3.4794 (3.4400)	Prec@1 24.609 (23.255)	Prec@5 47.656 (50.076)
Epoch: [37][5720/7045]	Time 0.319 (0.244)	Data 0.269 (0.182)	Loss 3.4041 (3.4400)	Prec@1 21.484 (23.255)	Prec@5 48.438 (50.078)
Epoch: [37][5730/7045]	Time 0.222 (0.244)	Data 0.172 (0.182)	Loss 3.4887 (3.4399)	Prec@1 21.484 (23.255)	Prec@5 48.828 (50.078)
Epoch: [37][5740/7045]	Time 0.269 (0.244)	Data 0.218 (0.182)	Loss 3.2934 (3.4398)	Prec@1 23.828 (23.257)	Prec@5 53.516 (50.080)
Epoch: [37][5750/7045]	Time 0.102 (0.244)	Data 0.003 (0.182)	Loss 3.4203 (3.4398)	Prec@1 24.609 (23.257)	Prec@5 49.609 (50.080)
Epoch: [37][5760/7045]	Time 0.205 (0.244)	Data 0.155 (0.182)	Loss 3.2505 (3.4397)	Prec@1 25.781 (23.258)	Prec@5 55.859 (50.082)
Epoch: [37][5770/7045]	Time 0.303 (0.244)	Data 0.251 (0.182)	Loss 3.2764 (3.4396)	Prec@1 28.125 (23.262)	Prec@5 55.469 (50.083)
Epoch: [37][5780/7045]	Time 0.147 (0.244)	Data 0.096 (0.182)	Loss 3.5024 (3.4396)	Prec@1 25.391 (23.264)	Prec@5 49.219 (50.086)
Epoch: [37][5790/7045]	Time 0.482 (0.244)	Data 0.424 (0.182)	Loss 3.3886 (3.4396)	Prec@1 25.781 (23.264)	Prec@5 49.219 (50.085)
Epoch: [37][5800/7045]	Time 0.102 (0.244)	Data 0.004 (0.182)	Loss 3.3959 (3.4396)	Prec@1 26.172 (23.265)	Prec@5 50.391 (50.083)
Epoch: [37][5810/7045]	Time 0.506 (0.244)	Data 0.455 (0.182)	Loss 3.4728 (3.4397)	Prec@1 23.047 (23.262)	Prec@5 49.609 (50.084)
Epoch: [37][5820/7045]	Time 0.108 (0.244)	Data 0.004 (0.182)	Loss 3.4721 (3.4397)	Prec@1 24.609 (23.262)	Prec@5 54.297 (50.084)
Epoch: [37][5830/7045]	Time 0.428 (0.244)	Data 0.377 (0.182)	Loss 3.4486 (3.4398)	Prec@1 24.609 (23.262)	Prec@5 50.391 (50.083)
Epoch: [37][5840/7045]	Time 0.135 (0.244)	Data 0.081 (0.182)	Loss 3.3147 (3.4398)	Prec@1 26.562 (23.262)	Prec@5 48.438 (50.083)
Epoch: [37][5850/7045]	Time 0.259 (0.244)	Data 0.208 (0.182)	Loss 3.2000 (3.4397)	Prec@1 27.344 (23.264)	Prec@5 54.297 (50.087)
Epoch: [37][5860/7045]	Time 0.136 (0.244)	Data 0.084 (0.182)	Loss 3.3196 (3.4396)	Prec@1 21.094 (23.266)	Prec@5 52.734 (50.090)
Epoch: [37][5870/7045]	Time 0.102 (0.244)	Data 0.002 (0.182)	Loss 3.3421 (3.4395)	Prec@1 21.875 (23.268)	Prec@5 51.562 (50.091)
Epoch: [37][5880/7045]	Time 0.109 (0.244)	Data 0.056 (0.182)	Loss 3.4502 (3.4395)	Prec@1 25.391 (23.268)	Prec@5 52.734 (50.092)
Epoch: [37][5890/7045]	Time 0.242 (0.244)	Data 0.184 (0.182)	Loss 3.5560 (3.4395)	Prec@1 20.703 (23.269)	Prec@5 47.656 (50.091)
Epoch: [37][5900/7045]	Time 0.108 (0.244)	Data 0.055 (0.182)	Loss 3.4113 (3.4394)	Prec@1 25.000 (23.270)	Prec@5 48.828 (50.091)
Epoch: [37][5910/7045]	Time 0.291 (0.244)	Data 0.240 (0.182)	Loss 3.7357 (3.4393)	Prec@1 16.016 (23.272)	Prec@5 45.703 (50.094)
Epoch: [37][5920/7045]	Time 0.155 (0.244)	Data 0.105 (0.182)	Loss 3.5909 (3.4393)	Prec@1 24.219 (23.273)	Prec@5 48.047 (50.094)
Epoch: [37][5930/7045]	Time 0.247 (0.244)	Data 0.196 (0.182)	Loss 3.4976 (3.4392)	Prec@1 23.438 (23.273)	Prec@5 48.438 (50.096)
Epoch: [37][5940/7045]	Time 0.202 (0.244)	Data 0.151 (0.182)	Loss 3.4223 (3.4392)	Prec@1 23.828 (23.274)	Prec@5 51.953 (50.098)
Epoch: [37][5950/7045]	Time 0.228 (0.244)	Data 0.177 (0.182)	Loss 3.2020 (3.4391)	Prec@1 23.438 (23.275)	Prec@5 53.906 (50.100)
Epoch: [37][5960/7045]	Time 0.101 (0.244)	Data 0.001 (0.182)	Loss 3.2970 (3.4390)	Prec@1 22.266 (23.274)	Prec@5 51.953 (50.102)
Epoch: [37][5970/7045]	Time 0.106 (0.244)	Data 0.002 (0.182)	Loss 3.3040 (3.4389)	Prec@1 26.562 (23.279)	Prec@5 54.297 (50.106)
Epoch: [37][5980/7045]	Time 0.100 (0.244)	Data 0.010 (0.182)	Loss 3.3973 (3.4388)	Prec@1 22.656 (23.280)	Prec@5 48.828 (50.106)
Epoch: [37][5990/7045]	Time 0.101 (0.244)	Data 0.002 (0.182)	Loss 3.3076 (3.4388)	Prec@1 20.703 (23.280)	Prec@5 51.953 (50.109)
Epoch: [37][6000/7045]	Time 0.180 (0.244)	Data 0.130 (0.182)	Loss 3.5702 (3.4388)	Prec@1 24.219 (23.282)	Prec@5 46.094 (50.106)
Epoch: [37][6010/7045]	Time 0.102 (0.244)	Data 0.001 (0.182)	Loss 3.2463 (3.4387)	Prec@1 28.516 (23.283)	Prec@5 53.516 (50.109)
Epoch: [37][6020/7045]	Time 0.424 (0.244)	Data 0.372 (0.182)	Loss 3.5946 (3.4387)	Prec@1 16.016 (23.281)	Prec@5 44.922 (50.108)
Epoch: [37][6030/7045]	Time 0.100 (0.244)	Data 0.001 (0.182)	Loss 3.4313 (3.4387)	Prec@1 24.219 (23.281)	Prec@5 50.781 (50.108)
Epoch: [37][6040/7045]	Time 0.560 (0.244)	Data 0.507 (0.182)	Loss 3.4227 (3.4386)	Prec@1 26.172 (23.283)	Prec@5 49.609 (50.111)
Epoch: [37][6050/7045]	Time 0.139 (0.244)	Data 0.087 (0.182)	Loss 3.1610 (3.4385)	Prec@1 26.562 (23.284)	Prec@5 56.641 (50.114)
Epoch: [37][6060/7045]	Time 0.520 (0.244)	Data 0.470 (0.182)	Loss 3.3880 (3.4386)	Prec@1 25.391 (23.286)	Prec@5 48.438 (50.113)
Epoch: [37][6070/7045]	Time 0.304 (0.244)	Data 0.247 (0.182)	Loss 3.7417 (3.4385)	Prec@1 15.234 (23.287)	Prec@5 46.484 (50.115)
Epoch: [37][6080/7045]	Time 0.360 (0.244)	Data 0.303 (0.182)	Loss 3.4091 (3.4386)	Prec@1 21.484 (23.287)	Prec@5 47.656 (50.113)
Epoch: [37][6090/7045]	Time 0.279 (0.244)	Data 0.229 (0.182)	Loss 3.4256 (3.4385)	Prec@1 26.172 (23.287)	Prec@5 50.391 (50.115)
Epoch: [37][6100/7045]	Time 0.112 (0.244)	Data 0.054 (0.182)	Loss 3.5084 (3.4386)	Prec@1 22.656 (23.286)	Prec@5 48.828 (50.112)
Epoch: [37][6110/7045]	Time 0.158 (0.244)	Data 0.107 (0.182)	Loss 3.3333 (3.4386)	Prec@1 24.609 (23.285)	Prec@5 50.391 (50.112)
Epoch: [37][6120/7045]	Time 0.110 (0.244)	Data 0.058 (0.182)	Loss 3.6371 (3.4386)	Prec@1 18.750 (23.285)	Prec@5 42.188 (50.112)
Epoch: [37][6130/7045]	Time 0.102 (0.244)	Data 0.049 (0.182)	Loss 3.3323 (3.4385)	Prec@1 26.562 (23.286)	Prec@5 51.172 (50.116)
Epoch: [37][6140/7045]	Time 0.101 (0.244)	Data 0.004 (0.182)	Loss 3.6298 (3.4385)	Prec@1 18.359 (23.289)	Prec@5 48.047 (50.117)
Epoch: [37][6150/7045]	Time 0.102 (0.244)	Data 0.001 (0.182)	Loss 3.3086 (3.4383)	Prec@1 25.391 (23.291)	Prec@5 55.859 (50.121)
Epoch: [37][6160/7045]	Time 0.101 (0.244)	Data 0.003 (0.182)	Loss 3.3396 (3.4383)	Prec@1 22.266 (23.292)	Prec@5 51.953 (50.121)
Epoch: [37][6170/7045]	Time 0.263 (0.244)	Data 0.212 (0.182)	Loss 3.4341 (3.4383)	Prec@1 23.438 (23.291)	Prec@5 49.219 (50.123)
Epoch: [37][6180/7045]	Time 0.102 (0.244)	Data 0.001 (0.182)	Loss 3.4262 (3.4382)	Prec@1 27.344 (23.295)	Prec@5 51.562 (50.125)
Epoch: [37][6190/7045]	Time 0.359 (0.244)	Data 0.306 (0.182)	Loss 3.4808 (3.4381)	Prec@1 19.531 (23.295)	Prec@5 48.828 (50.126)
Epoch: [37][6200/7045]	Time 0.101 (0.244)	Data 0.001 (0.182)	Loss 3.2840 (3.4382)	Prec@1 26.172 (23.294)	Prec@5 52.734 (50.127)
Epoch: [37][6210/7045]	Time 0.581 (0.244)	Data 0.528 (0.182)	Loss 3.2726 (3.4380)	Prec@1 23.047 (23.296)	Prec@5 54.688 (50.130)
Epoch: [37][6220/7045]	Time 0.103 (0.244)	Data 0.051 (0.182)	Loss 3.3200 (3.4380)	Prec@1 23.047 (23.296)	Prec@5 51.953 (50.130)
Epoch: [37][6230/7045]	Time 0.445 (0.244)	Data 0.389 (0.182)	Loss 3.3525 (3.4380)	Prec@1 25.000 (23.297)	Prec@5 52.734 (50.129)
Epoch: [37][6240/7045]	Time 0.289 (0.244)	Data 0.238 (0.182)	Loss 3.4378 (3.4380)	Prec@1 21.875 (23.298)	Prec@5 48.438 (50.130)
Epoch: [37][6250/7045]	Time 0.301 (0.244)	Data 0.250 (0.182)	Loss 3.5478 (3.4380)	Prec@1 21.875 (23.298)	Prec@5 49.219 (50.129)
Epoch: [37][6260/7045]	Time 0.399 (0.244)	Data 0.342 (0.182)	Loss 3.4907 (3.4380)	Prec@1 21.875 (23.296)	Prec@5 48.047 (50.130)
Epoch: [37][6270/7045]	Time 0.121 (0.244)	Data 0.069 (0.182)	Loss 3.3095 (3.4380)	Prec@1 26.172 (23.298)	Prec@5 53.516 (50.130)
Epoch: [37][6280/7045]	Time 0.366 (0.244)	Data 0.315 (0.182)	Loss 3.4815 (3.4380)	Prec@1 21.094 (23.297)	Prec@5 48.438 (50.130)
Epoch: [37][6290/7045]	Time 0.115 (0.244)	Data 0.057 (0.182)	Loss 3.4040 (3.4380)	Prec@1 27.344 (23.298)	Prec@5 50.781 (50.129)
Epoch: [37][6300/7045]	Time 0.278 (0.244)	Data 0.226 (0.182)	Loss 3.4189 (3.4380)	Prec@1 25.391 (23.298)	Prec@5 51.953 (50.129)
Epoch: [37][6310/7045]	Time 0.235 (0.244)	Data 0.179 (0.182)	Loss 3.2424 (3.4379)	Prec@1 26.953 (23.302)	Prec@5 56.641 (50.133)
Epoch: [37][6320/7045]	Time 0.143 (0.244)	Data 0.091 (0.182)	Loss 3.3851 (3.4377)	Prec@1 26.172 (23.302)	Prec@5 52.734 (50.135)
Epoch: [37][6330/7045]	Time 0.243 (0.244)	Data 0.191 (0.182)	Loss 3.4832 (3.4376)	Prec@1 28.125 (23.304)	Prec@5 50.000 (50.138)
Epoch: [37][6340/7045]	Time 0.138 (0.244)	Data 0.087 (0.182)	Loss 3.1973 (3.4375)	Prec@1 23.047 (23.305)	Prec@5 55.859 (50.141)
Epoch: [37][6350/7045]	Time 0.249 (0.244)	Data 0.198 (0.182)	Loss 3.2141 (3.4374)	Prec@1 29.688 (23.308)	Prec@5 55.859 (50.143)
Epoch: [37][6360/7045]	Time 0.396 (0.244)	Data 0.345 (0.182)	Loss 3.4488 (3.4375)	Prec@1 21.094 (23.306)	Prec@5 50.781 (50.140)
Epoch: [37][6370/7045]	Time 0.148 (0.244)	Data 0.097 (0.182)	Loss 3.3785 (3.4375)	Prec@1 27.734 (23.309)	Prec@5 50.391 (50.143)
Epoch: [37][6380/7045]	Time 0.381 (0.244)	Data 0.330 (0.182)	Loss 3.4213 (3.4375)	Prec@1 23.047 (23.309)	Prec@5 51.172 (50.143)
Epoch: [37][6390/7045]	Time 0.101 (0.244)	Data 0.002 (0.182)	Loss 3.3194 (3.4375)	Prec@1 25.781 (23.309)	Prec@5 52.734 (50.143)
Epoch: [37][6400/7045]	Time 0.342 (0.244)	Data 0.290 (0.182)	Loss 3.5770 (3.4374)	Prec@1 21.094 (23.310)	Prec@5 45.312 (50.143)
Epoch: [37][6410/7045]	Time 0.174 (0.244)	Data 0.117 (0.182)	Loss 3.4734 (3.4375)	Prec@1 24.219 (23.310)	Prec@5 49.609 (50.142)
Epoch: [37][6420/7045]	Time 0.179 (0.244)	Data 0.127 (0.182)	Loss 3.3037 (3.4374)	Prec@1 24.219 (23.312)	Prec@5 52.344 (50.145)
Epoch: [37][6430/7045]	Time 0.148 (0.244)	Data 0.096 (0.182)	Loss 3.3423 (3.4374)	Prec@1 23.828 (23.311)	Prec@5 46.875 (50.144)
Epoch: [37][6440/7045]	Time 0.121 (0.244)	Data 0.070 (0.182)	Loss 3.4019 (3.4373)	Prec@1 21.484 (23.312)	Prec@5 53.516 (50.144)
Epoch: [37][6450/7045]	Time 0.139 (0.244)	Data 0.088 (0.182)	Loss 3.5840 (3.4374)	Prec@1 19.531 (23.312)	Prec@5 44.531 (50.144)
Epoch: [37][6460/7045]	Time 0.370 (0.244)	Data 0.318 (0.182)	Loss 3.5188 (3.4374)	Prec@1 21.484 (23.313)	Prec@5 50.000 (50.144)
Epoch: [37][6470/7045]	Time 0.109 (0.244)	Data 0.057 (0.182)	Loss 3.3830 (3.4373)	Prec@1 24.609 (23.315)	Prec@5 51.562 (50.147)
Epoch: [37][6480/7045]	Time 0.422 (0.244)	Data 0.371 (0.182)	Loss 3.3033 (3.4373)	Prec@1 25.000 (23.314)	Prec@5 51.953 (50.147)
Epoch: [37][6490/7045]	Time 0.100 (0.244)	Data 0.045 (0.182)	Loss 3.4678 (3.4373)	Prec@1 25.391 (23.315)	Prec@5 51.172 (50.149)
Epoch: [37][6500/7045]	Time 0.403 (0.244)	Data 0.352 (0.182)	Loss 3.3130 (3.4372)	Prec@1 23.047 (23.316)	Prec@5 52.734 (50.151)
Epoch: [37][6510/7045]	Time 0.330 (0.244)	Data 0.272 (0.182)	Loss 3.3751 (3.4371)	Prec@1 25.781 (23.318)	Prec@5 49.609 (50.153)
Epoch: [37][6520/7045]	Time 0.191 (0.244)	Data 0.141 (0.182)	Loss 3.5216 (3.4371)	Prec@1 21.875 (23.319)	Prec@5 48.828 (50.153)
Epoch: [37][6530/7045]	Time 0.416 (0.244)	Data 0.365 (0.182)	Loss 3.5317 (3.4370)	Prec@1 22.266 (23.320)	Prec@5 47.266 (50.153)
Epoch: [37][6540/7045]	Time 0.170 (0.244)	Data 0.117 (0.182)	Loss 3.3499 (3.4371)	Prec@1 25.000 (23.319)	Prec@5 51.562 (50.151)
Epoch: [37][6550/7045]	Time 0.350 (0.244)	Data 0.299 (0.182)	Loss 3.3940 (3.4370)	Prec@1 25.781 (23.320)	Prec@5 50.391 (50.151)
Epoch: [37][6560/7045]	Time 0.179 (0.244)	Data 0.126 (0.182)	Loss 3.4472 (3.4371)	Prec@1 22.266 (23.318)	Prec@5 50.781 (50.151)
Epoch: [37][6570/7045]	Time 0.332 (0.244)	Data 0.280 (0.182)	Loss 3.4458 (3.4371)	Prec@1 18.750 (23.318)	Prec@5 46.484 (50.150)
Epoch: [37][6580/7045]	Time 0.179 (0.244)	Data 0.127 (0.182)	Loss 3.4609 (3.4372)	Prec@1 22.656 (23.317)	Prec@5 48.047 (50.148)
Epoch: [37][6590/7045]	Time 0.349 (0.244)	Data 0.299 (0.182)	Loss 3.3739 (3.4371)	Prec@1 21.484 (23.318)	Prec@5 50.000 (50.148)
Epoch: [37][6600/7045]	Time 0.101 (0.244)	Data 0.047 (0.182)	Loss 3.3594 (3.4371)	Prec@1 26.172 (23.318)	Prec@5 51.562 (50.149)
Epoch: [37][6610/7045]	Time 0.351 (0.244)	Data 0.299 (0.182)	Loss 3.4170 (3.4371)	Prec@1 21.875 (23.317)	Prec@5 47.656 (50.149)
Epoch: [37][6620/7045]	Time 0.127 (0.244)	Data 0.075 (0.182)	Loss 3.4987 (3.4371)	Prec@1 21.875 (23.315)	Prec@5 48.828 (50.150)
Epoch: [37][6630/7045]	Time 0.342 (0.244)	Data 0.290 (0.182)	Loss 3.5453 (3.4370)	Prec@1 23.828 (23.318)	Prec@5 46.875 (50.152)
Epoch: [37][6640/7045]	Time 0.159 (0.244)	Data 0.107 (0.182)	Loss 3.3582 (3.4368)	Prec@1 28.906 (23.322)	Prec@5 52.734 (50.154)
Epoch: [37][6650/7045]	Time 0.363 (0.244)	Data 0.312 (0.182)	Loss 3.5113 (3.4368)	Prec@1 22.266 (23.325)	Prec@5 48.047 (50.154)
Epoch: [37][6660/7045]	Time 0.141 (0.244)	Data 0.090 (0.182)	Loss 3.4001 (3.4367)	Prec@1 24.219 (23.325)	Prec@5 51.562 (50.157)
Epoch: [37][6670/7045]	Time 0.406 (0.244)	Data 0.355 (0.182)	Loss 3.0540 (3.4365)	Prec@1 29.688 (23.328)	Prec@5 61.328 (50.160)
Epoch: [37][6680/7045]	Time 0.107 (0.244)	Data 0.055 (0.182)	Loss 3.3876 (3.4364)	Prec@1 21.094 (23.329)	Prec@5 46.484 (50.162)
Epoch: [37][6690/7045]	Time 0.351 (0.244)	Data 0.301 (0.182)	Loss 3.5208 (3.4364)	Prec@1 24.219 (23.329)	Prec@5 45.703 (50.161)
Epoch: [37][6700/7045]	Time 0.124 (0.243)	Data 0.073 (0.182)	Loss 3.2542 (3.4364)	Prec@1 25.000 (23.330)	Prec@5 53.516 (50.163)
Epoch: [37][6710/7045]	Time 0.308 (0.243)	Data 0.257 (0.182)	Loss 3.1794 (3.4363)	Prec@1 23.047 (23.330)	Prec@5 55.469 (50.165)
Epoch: [37][6720/7045]	Time 0.108 (0.243)	Data 0.056 (0.182)	Loss 3.5353 (3.4363)	Prec@1 23.438 (23.330)	Prec@5 48.438 (50.165)
Epoch: [37][6730/7045]	Time 0.294 (0.243)	Data 0.243 (0.182)	Loss 3.4120 (3.4362)	Prec@1 26.562 (23.333)	Prec@5 54.297 (50.167)
Epoch: [37][6740/7045]	Time 0.107 (0.243)	Data 0.055 (0.182)	Loss 3.3216 (3.4361)	Prec@1 25.781 (23.334)	Prec@5 55.078 (50.170)
Epoch: [37][6750/7045]	Time 0.257 (0.243)	Data 0.204 (0.182)	Loss 3.1961 (3.4360)	Prec@1 28.125 (23.337)	Prec@5 57.031 (50.173)
Epoch: [37][6760/7045]	Time 0.102 (0.243)	Data 0.044 (0.182)	Loss 3.3294 (3.4359)	Prec@1 25.781 (23.338)	Prec@5 51.953 (50.172)
Epoch: [37][6770/7045]	Time 0.192 (0.243)	Data 0.141 (0.182)	Loss 3.3980 (3.4360)	Prec@1 23.438 (23.336)	Prec@5 50.000 (50.171)
Epoch: [37][6780/7045]	Time 0.120 (0.243)	Data 0.067 (0.182)	Loss 3.2519 (3.4359)	Prec@1 25.391 (23.337)	Prec@5 54.688 (50.173)
Epoch: [37][6790/7045]	Time 0.247 (0.243)	Data 0.196 (0.182)	Loss 3.4970 (3.4360)	Prec@1 22.266 (23.336)	Prec@5 48.438 (50.171)
Epoch: [37][6800/7045]	Time 0.099 (0.243)	Data 0.046 (0.182)	Loss 3.3327 (3.4360)	Prec@1 22.656 (23.336)	Prec@5 53.516 (50.171)
Epoch: [37][6810/7045]	Time 0.108 (0.243)	Data 0.055 (0.182)	Loss 3.3015 (3.4359)	Prec@1 29.297 (23.340)	Prec@5 51.172 (50.174)
Epoch: [37][6820/7045]	Time 0.100 (0.243)	Data 0.006 (0.182)	Loss 3.4533 (3.4358)	Prec@1 23.828 (23.340)	Prec@5 51.172 (50.174)
Epoch: [37][6830/7045]	Time 0.191 (0.243)	Data 0.134 (0.182)	Loss 3.6328 (3.4358)	Prec@1 18.750 (23.339)	Prec@5 46.484 (50.175)
Epoch: [37][6840/7045]	Time 0.102 (0.243)	Data 0.001 (0.182)	Loss 3.4928 (3.4358)	Prec@1 23.438 (23.340)	Prec@5 50.781 (50.176)
Epoch: [37][6850/7045]	Time 0.282 (0.243)	Data 0.230 (0.182)	Loss 3.5287 (3.4358)	Prec@1 23.047 (23.341)	Prec@5 50.391 (50.176)
Epoch: [37][6860/7045]	Time 0.136 (0.243)	Data 0.085 (0.182)	Loss 3.3833 (3.4358)	Prec@1 25.391 (23.343)	Prec@5 50.781 (50.176)
Epoch: [37][6870/7045]	Time 0.172 (0.243)	Data 0.121 (0.182)	Loss 3.4167 (3.4358)	Prec@1 21.484 (23.341)	Prec@5 47.656 (50.175)
Epoch: [37][6880/7045]	Time 0.349 (0.243)	Data 0.299 (0.182)	Loss 3.4902 (3.4358)	Prec@1 23.828 (23.340)	Prec@5 48.438 (50.176)
Epoch: [37][6890/7045]	Time 0.141 (0.243)	Data 0.090 (0.182)	Loss 3.5413 (3.4357)	Prec@1 27.344 (23.340)	Prec@5 47.656 (50.176)
Epoch: [37][6900/7045]	Time 0.578 (0.243)	Data 0.521 (0.182)	Loss 3.4136 (3.4356)	Prec@1 25.000 (23.341)	Prec@5 48.438 (50.178)
Epoch: [37][6910/7045]	Time 0.102 (0.243)	Data 0.050 (0.182)	Loss 3.3984 (3.4356)	Prec@1 20.703 (23.341)	Prec@5 50.391 (50.178)
Epoch: [37][6920/7045]	Time 0.653 (0.243)	Data 0.594 (0.182)	Loss 3.5122 (3.4356)	Prec@1 24.219 (23.342)	Prec@5 52.734 (50.178)
Epoch: [37][6930/7045]	Time 0.115 (0.243)	Data 0.064 (0.182)	Loss 3.5210 (3.4356)	Prec@1 21.484 (23.343)	Prec@5 48.828 (50.178)
Epoch: [37][6940/7045]	Time 0.622 (0.243)	Data 0.566 (0.182)	Loss 3.5427 (3.4356)	Prec@1 20.312 (23.343)	Prec@5 47.266 (50.179)
Epoch: [37][6950/7045]	Time 0.102 (0.243)	Data 0.001 (0.182)	Loss 3.5158 (3.4355)	Prec@1 24.609 (23.346)	Prec@5 46.484 (50.179)
Epoch: [37][6960/7045]	Time 0.597 (0.243)	Data 0.545 (0.182)	Loss 3.3992 (3.4354)	Prec@1 22.656 (23.348)	Prec@5 53.906 (50.184)
Epoch: [37][6970/7045]	Time 0.102 (0.243)	Data 0.001 (0.182)	Loss 3.3542 (3.4353)	Prec@1 25.781 (23.348)	Prec@5 53.906 (50.185)
Epoch: [37][6980/7045]	Time 0.373 (0.243)	Data 0.323 (0.182)	Loss 3.4192 (3.4353)	Prec@1 21.484 (23.348)	Prec@5 50.000 (50.187)
Epoch: [37][6990/7045]	Time 0.104 (0.243)	Data 0.001 (0.182)	Loss 3.3885 (3.4352)	Prec@1 23.828 (23.348)	Prec@5 48.438 (50.187)
Epoch: [37][7000/7045]	Time 0.107 (0.243)	Data 0.050 (0.182)	Loss 3.2307 (3.4352)	Prec@1 24.609 (23.348)	Prec@5 51.953 (50.190)
Epoch: [37][7010/7045]	Time 0.102 (0.243)	Data 0.001 (0.182)	Loss 3.5840 (3.4352)	Prec@1 23.438 (23.348)	Prec@5 46.484 (50.190)
Epoch: [37][7020/7045]	Time 0.114 (0.243)	Data 0.058 (0.182)	Loss 3.2782 (3.4352)	Prec@1 30.469 (23.348)	Prec@5 55.469 (50.192)
Epoch: [37][7030/7045]	Time 0.102 (0.243)	Data 0.047 (0.182)	Loss 3.2335 (3.4351)	Prec@1 26.953 (23.349)	Prec@5 52.344 (50.191)
Epoch: [37][7040/7045]	Time 0.152 (0.243)	Data 0.101 (0.182)	Loss 3.3665 (3.4352)	Prec@1 23.047 (23.348)	Prec@5 50.391 (50.189)
Test: [0/143]	Time 1.083 (1.083)	Loss 2.9369 (2.9369)	Prec@1 32.031 (32.031)	Prec@5 61.719 (61.719)
Test: [10/143]	Time 0.287 (0.268)	Loss 2.7897 (2.8415)	Prec@1 32.031 (32.848)	Prec@5 67.578 (64.560)
Test: [20/143]	Time 0.238 (0.229)	Loss 3.0347 (2.8298)	Prec@1 28.906 (32.608)	Prec@5 58.594 (64.193)
Test: [30/143]	Time 0.113 (0.211)	Loss 2.9445 (2.8333)	Prec@1 32.422 (33.165)	Prec@5 59.766 (63.974)
Test: [40/143]	Time 0.060 (0.201)	Loss 3.2532 (2.8408)	Prec@1 21.484 (32.917)	Prec@5 52.344 (63.558)
Test: [50/143]	Time 0.313 (0.201)	Loss 2.5251 (2.8878)	Prec@1 31.250 (31.288)	Prec@5 72.266 (62.477)
Test: [60/143]	Time 0.324 (0.197)	Loss 2.9830 (2.8615)	Prec@1 26.172 (32.025)	Prec@5 65.234 (63.160)
Test: [70/143]	Time 0.292 (0.196)	Loss 3.6957 (2.8582)	Prec@1 18.750 (32.235)	Prec@5 41.406 (63.149)
Test: [80/143]	Time 0.049 (0.193)	Loss 2.7190 (2.8624)	Prec@1 36.328 (32.195)	Prec@5 67.969 (63.093)
Test: [90/143]	Time 0.048 (0.189)	Loss 2.7630 (2.8539)	Prec@1 34.375 (32.207)	Prec@5 66.797 (63.217)
Test: [100/143]	Time 0.106 (0.188)	Loss 2.6539 (2.8460)	Prec@1 35.547 (32.337)	Prec@5 71.875 (63.390)
Test: [110/143]	Time 0.346 (0.189)	Loss 2.3726 (2.8257)	Prec@1 46.484 (32.943)	Prec@5 73.828 (63.767)
Test: [120/143]	Time 0.275 (0.187)	Loss 2.5048 (2.8171)	Prec@1 46.094 (33.151)	Prec@5 73.438 (63.946)
Test: [130/143]	Time 0.118 (0.185)	Loss 2.3096 (2.8211)	Prec@1 50.000 (33.096)	Prec@5 73.047 (63.803)
Test: [140/143]	Time 0.107 (0.185)	Loss 3.7126 (2.8386)	Prec@1 17.188 (32.749)	Prec@5 41.797 (63.420)
 * Prec@1 32.748 Prec@5 63.411
Epoch: [38][0/7045]	Time 2.440 (2.440)	Data 2.377 (2.377)	Loss 3.5081 (3.5081)	Prec@1 21.875 (21.875)	Prec@5 48.438 (48.438)
Epoch: [38][10/7045]	Time 0.118 (0.419)	Data 0.059 (0.342)	Loss 3.3564 (3.3824)	Prec@1 22.266 (23.544)	Prec@5 50.391 (50.817)
Epoch: [38][20/7045]	Time 0.591 (0.347)	Data 0.540 (0.279)	Loss 3.3533 (3.3816)	Prec@1 23.828 (23.717)	Prec@5 53.125 (51.097)
Epoch: [38][30/7045]	Time 0.171 (0.306)	Data 0.115 (0.243)	Loss 3.5964 (3.3710)	Prec@1 19.141 (23.702)	Prec@5 48.047 (51.008)
Epoch: [38][40/7045]	Time 0.497 (0.294)	Data 0.446 (0.232)	Loss 3.4632 (3.3685)	Prec@1 20.703 (24.085)	Prec@5 47.266 (51.334)
Epoch: [38][50/7045]	Time 0.117 (0.280)	Data 0.065 (0.221)	Loss 3.2976 (3.3664)	Prec@1 25.781 (24.134)	Prec@5 51.562 (51.371)
Epoch: [38][60/7045]	Time 0.539 (0.277)	Data 0.489 (0.218)	Loss 3.3693 (3.3728)	Prec@1 25.391 (24.193)	Prec@5 54.297 (51.479)
Epoch: [38][70/7045]	Time 0.193 (0.270)	Data 0.136 (0.212)	Loss 3.3450 (3.3812)	Prec@1 23.828 (23.938)	Prec@5 50.391 (51.271)
Epoch: [38][80/7045]	Time 0.431 (0.267)	Data 0.380 (0.210)	Loss 3.3601 (3.3812)	Prec@1 27.734 (24.064)	Prec@5 53.906 (51.331)
Epoch: [38][90/7045]	Time 0.163 (0.264)	Data 0.112 (0.207)	Loss 3.6522 (3.3849)	Prec@1 17.578 (24.081)	Prec@5 43.750 (51.361)
Epoch: [38][100/7045]	Time 0.351 (0.261)	Data 0.300 (0.204)	Loss 3.1808 (3.3813)	Prec@1 30.469 (24.165)	Prec@5 55.078 (51.400)
Epoch: [38][110/7045]	Time 0.101 (0.261)	Data 0.001 (0.204)	Loss 3.3688 (3.3841)	Prec@1 24.219 (24.169)	Prec@5 50.391 (51.376)
Epoch: [38][120/7045]	Time 0.285 (0.258)	Data 0.233 (0.199)	Loss 3.4554 (3.3916)	Prec@1 26.953 (24.099)	Prec@5 47.656 (51.117)
Epoch: [38][130/7045]	Time 0.101 (0.258)	Data 0.003 (0.198)	Loss 3.3462 (3.3947)	Prec@1 22.266 (24.031)	Prec@5 52.344 (50.996)
Epoch: [38][140/7045]	Time 0.188 (0.255)	Data 0.136 (0.195)	Loss 3.4751 (3.3919)	Prec@1 25.000 (24.025)	Prec@5 51.562 (51.056)
Epoch: [38][150/7045]	Time 0.100 (0.256)	Data 0.001 (0.195)	Loss 3.2330 (3.3876)	Prec@1 26.172 (24.025)	Prec@5 53.516 (51.133)
Epoch: [38][160/7045]	Time 0.101 (0.254)	Data 0.049 (0.191)	Loss 3.4035 (3.3855)	Prec@1 22.656 (24.093)	Prec@5 50.391 (51.223)
Epoch: [38][170/7045]	Time 0.102 (0.254)	Data 0.003 (0.191)	Loss 3.5027 (3.3854)	Prec@1 20.312 (24.095)	Prec@5 46.094 (51.208)
Epoch: [38][180/7045]	Time 0.102 (0.252)	Data 0.050 (0.189)	Loss 3.4407 (3.3861)	Prec@1 21.484 (24.113)	Prec@5 51.172 (51.217)
Epoch: [38][190/7045]	Time 0.095 (0.253)	Data 0.001 (0.189)	Loss 3.4204 (3.3856)	Prec@1 24.219 (24.119)	Prec@5 51.953 (51.266)
Epoch: [38][200/7045]	Time 0.102 (0.251)	Data 0.048 (0.187)	Loss 3.4926 (3.3850)	Prec@1 21.875 (24.110)	Prec@5 50.781 (51.267)
Epoch: [38][210/7045]	Time 0.102 (0.252)	Data 0.002 (0.187)	Loss 3.3671 (3.3847)	Prec@1 25.781 (24.113)	Prec@5 51.953 (51.283)
Epoch: [38][220/7045]	Time 0.117 (0.250)	Data 0.065 (0.184)	Loss 3.3644 (3.3842)	Prec@1 23.438 (24.093)	Prec@5 52.734 (51.285)
Epoch: [38][230/7045]	Time 0.102 (0.251)	Data 0.003 (0.185)	Loss 3.6316 (3.3847)	Prec@1 19.531 (24.048)	Prec@5 46.875 (51.317)
Epoch: [38][240/7045]	Time 0.100 (0.249)	Data 0.001 (0.182)	Loss 3.2919 (3.3887)	Prec@1 28.516 (24.018)	Prec@5 53.906 (51.233)
Epoch: [38][250/7045]	Time 0.108 (0.250)	Data 0.024 (0.183)	Loss 3.5143 (3.3872)	Prec@1 23.828 (24.049)	Prec@5 49.219 (51.281)
Epoch: [38][260/7045]	Time 0.102 (0.249)	Data 0.001 (0.181)	Loss 3.4361 (3.3873)	Prec@1 22.656 (24.044)	Prec@5 51.562 (51.256)
Epoch: [38][270/7045]	Time 0.102 (0.250)	Data 0.007 (0.181)	Loss 3.4917 (3.3874)	Prec@1 20.703 (24.052)	Prec@5 48.047 (51.257)
Epoch: [38][280/7045]	Time 0.109 (0.248)	Data 0.057 (0.180)	Loss 3.2112 (3.3870)	Prec@1 26.172 (24.009)	Prec@5 52.734 (51.254)
Epoch: [38][290/7045]	Time 0.113 (0.249)	Data 0.061 (0.180)	Loss 3.3942 (3.3865)	Prec@1 25.000 (24.038)	Prec@5 51.953 (51.262)
Epoch: [38][300/7045]	Time 0.123 (0.248)	Data 0.072 (0.179)	Loss 3.4041 (3.3874)	Prec@1 25.000 (24.063)	Prec@5 50.000 (51.263)
Epoch: [38][310/7045]	Time 0.110 (0.249)	Data 0.006 (0.180)	Loss 3.2725 (3.3874)	Prec@1 24.219 (24.074)	Prec@5 52.344 (51.248)
Epoch: [38][320/7045]	Time 0.102 (0.247)	Data 0.049 (0.179)	Loss 3.3038 (3.3885)	Prec@1 26.562 (24.095)	Prec@5 53.906 (51.213)
Epoch: [38][330/7045]	Time 0.112 (0.248)	Data 0.004 (0.179)	Loss 3.4928 (3.3916)	Prec@1 26.172 (24.067)	Prec@5 48.438 (51.128)
Epoch: [38][340/7045]	Time 0.106 (0.247)	Data 0.054 (0.178)	Loss 3.3796 (3.3923)	Prec@1 20.312 (24.035)	Prec@5 50.000 (51.097)
Epoch: [38][350/7045]	Time 0.101 (0.248)	Data 0.002 (0.179)	Loss 3.3706 (3.3912)	Prec@1 24.219 (24.057)	Prec@5 53.125 (51.142)
Epoch: [38][360/7045]	Time 0.100 (0.247)	Data 0.044 (0.178)	Loss 3.4268 (3.3917)	Prec@1 25.391 (24.047)	Prec@5 53.125 (51.157)
Epoch: [38][370/7045]	Time 0.108 (0.247)	Data 0.056 (0.178)	Loss 3.4414 (3.3937)	Prec@1 26.953 (24.059)	Prec@5 49.219 (51.128)
Epoch: [38][380/7045]	Time 0.107 (0.246)	Data 0.056 (0.178)	Loss 3.3275 (3.3938)	Prec@1 25.000 (24.040)	Prec@5 54.688 (51.136)
Epoch: [38][390/7045]	Time 0.126 (0.247)	Data 0.074 (0.178)	Loss 3.3842 (3.3933)	Prec@1 23.828 (24.031)	Prec@5 51.172 (51.132)
Epoch: [38][400/7045]	Time 0.101 (0.247)	Data 0.001 (0.178)	Loss 3.4278 (3.3929)	Prec@1 25.781 (24.053)	Prec@5 51.562 (51.147)
Epoch: [38][410/7045]	Time 0.196 (0.246)	Data 0.145 (0.178)	Loss 3.3101 (3.3903)	Prec@1 23.438 (24.084)	Prec@5 54.297 (51.231)
Epoch: [38][420/7045]	Time 0.099 (0.246)	Data 0.001 (0.178)	Loss 3.2564 (3.3910)	Prec@1 28.516 (24.073)	Prec@5 55.078 (51.214)
Epoch: [38][430/7045]	Time 0.285 (0.246)	Data 0.234 (0.178)	Loss 3.3792 (3.3914)	Prec@1 25.391 (24.075)	Prec@5 47.656 (51.176)
Epoch: [38][440/7045]	Time 0.101 (0.246)	Data 0.005 (0.178)	Loss 3.2768 (3.3924)	Prec@1 25.781 (24.054)	Prec@5 51.953 (51.166)
Epoch: [38][450/7045]	Time 0.357 (0.246)	Data 0.305 (0.178)	Loss 3.2693 (3.3900)	Prec@1 23.828 (24.064)	Prec@5 50.391 (51.180)
Epoch: [38][460/7045]	Time 0.100 (0.246)	Data 0.001 (0.178)	Loss 3.3060 (3.3900)	Prec@1 24.609 (24.065)	Prec@5 51.562 (51.191)
Epoch: [38][470/7045]	Time 0.376 (0.246)	Data 0.325 (0.179)	Loss 3.4298 (3.3894)	Prec@1 25.391 (24.079)	Prec@5 51.172 (51.202)
Epoch: [38][480/7045]	Time 0.102 (0.246)	Data 0.003 (0.178)	Loss 3.5381 (3.3904)	Prec@1 20.312 (24.043)	Prec@5 46.094 (51.147)
Epoch: [38][490/7045]	Time 0.422 (0.246)	Data 0.371 (0.178)	Loss 3.3080 (3.3907)	Prec@1 21.875 (24.014)	Prec@5 57.422 (51.146)
Epoch: [38][500/7045]	Time 0.102 (0.245)	Data 0.001 (0.178)	Loss 3.5201 (3.3917)	Prec@1 18.750 (23.992)	Prec@5 50.391 (51.133)
Epoch: [38][510/7045]	Time 0.428 (0.245)	Data 0.378 (0.179)	Loss 3.3066 (3.3914)	Prec@1 24.609 (24.009)	Prec@5 50.781 (51.148)
Epoch: [38][520/7045]	Time 0.104 (0.245)	Data 0.052 (0.179)	Loss 3.3559 (3.3915)	Prec@1 26.953 (24.011)	Prec@5 50.781 (51.119)
Epoch: [38][530/7045]	Time 0.604 (0.246)	Data 0.546 (0.179)	Loss 3.5001 (3.3916)	Prec@1 26.172 (24.023)	Prec@5 48.828 (51.105)
Epoch: [38][540/7045]	Time 0.101 (0.245)	Data 0.049 (0.178)	Loss 3.4432 (3.3926)	Prec@1 22.266 (24.012)	Prec@5 51.172 (51.072)
Epoch: [38][550/7045]	Time 0.628 (0.245)	Data 0.576 (0.179)	Loss 3.4401 (3.3928)	Prec@1 22.656 (24.025)	Prec@5 50.000 (51.075)
Epoch: [38][560/7045]	Time 0.101 (0.245)	Data 0.048 (0.178)	Loss 3.4979 (3.3927)	Prec@1 23.438 (24.032)	Prec@5 46.094 (51.081)
Epoch: [38][570/7045]	Time 0.636 (0.245)	Data 0.586 (0.179)	Loss 3.4107 (3.3924)	Prec@1 26.172 (24.050)	Prec@5 50.391 (51.080)
Epoch: [38][580/7045]	Time 0.135 (0.245)	Data 0.084 (0.178)	Loss 3.2490 (3.3935)	Prec@1 28.125 (24.035)	Prec@5 51.562 (51.046)
Epoch: [38][590/7045]	Time 0.626 (0.245)	Data 0.570 (0.178)	Loss 3.4218 (3.3936)	Prec@1 23.828 (24.030)	Prec@5 48.047 (51.021)
Epoch: [38][600/7045]	Time 0.096 (0.245)	Data 0.001 (0.178)	Loss 3.3288 (3.3933)	Prec@1 25.000 (24.037)	Prec@5 51.172 (51.015)
Epoch: [38][610/7045]	Time 0.665 (0.245)	Data 0.614 (0.178)	Loss 3.3703 (3.3940)	Prec@1 26.562 (24.021)	Prec@5 53.125 (50.995)
Epoch: [38][620/7045]	Time 0.103 (0.244)	Data 0.001 (0.177)	Loss 3.3935 (3.3933)	Prec@1 25.391 (24.046)	Prec@5 51.562 (50.998)
Epoch: [38][630/7045]	Time 0.638 (0.245)	Data 0.588 (0.177)	Loss 3.2393 (3.3918)	Prec@1 25.781 (24.070)	Prec@5 50.391 (51.013)
Epoch: [38][640/7045]	Time 0.102 (0.244)	Data 0.001 (0.176)	Loss 3.5578 (3.3922)	Prec@1 20.312 (24.066)	Prec@5 48.438 (51.024)
Epoch: [38][650/7045]	Time 0.724 (0.245)	Data 0.672 (0.176)	Loss 3.3655 (3.3926)	Prec@1 27.734 (24.058)	Prec@5 51.953 (51.000)
Epoch: [38][660/7045]	Time 0.108 (0.244)	Data 0.001 (0.175)	Loss 3.5309 (3.3921)	Prec@1 20.312 (24.063)	Prec@5 48.828 (51.010)
Epoch: [38][670/7045]	Time 0.580 (0.244)	Data 0.528 (0.175)	Loss 3.4381 (3.3919)	Prec@1 23.828 (24.051)	Prec@5 53.516 (51.028)
Epoch: [38][680/7045]	Time 0.102 (0.244)	Data 0.001 (0.175)	Loss 3.3368 (3.3920)	Prec@1 22.656 (24.043)	Prec@5 53.125 (51.032)
Epoch: [38][690/7045]	Time 0.696 (0.244)	Data 0.639 (0.175)	Loss 3.4268 (3.3918)	Prec@1 23.047 (24.036)	Prec@5 47.266 (51.033)
Epoch: [38][700/7045]	Time 0.103 (0.244)	Data 0.051 (0.174)	Loss 3.3226 (3.3919)	Prec@1 23.828 (24.043)	Prec@5 51.953 (51.035)
Epoch: [38][710/7045]	Time 0.709 (0.244)	Data 0.656 (0.175)	Loss 3.4132 (3.3911)	Prec@1 22.656 (24.048)	Prec@5 50.391 (51.049)
Epoch: [38][720/7045]	Time 0.101 (0.244)	Data 0.044 (0.174)	Loss 3.2081 (3.3913)	Prec@1 28.125 (24.046)	Prec@5 56.641 (51.051)
Epoch: [38][730/7045]	Time 0.220 (0.244)	Data 0.162 (0.175)	Loss 3.3527 (3.3902)	Prec@1 24.609 (24.054)	Prec@5 58.203 (51.073)
Epoch: [38][740/7045]	Time 0.247 (0.244)	Data 0.196 (0.174)	Loss 3.4089 (3.3897)	Prec@1 24.219 (24.067)	Prec@5 51.562 (51.081)
Epoch: [38][750/7045]	Time 0.106 (0.244)	Data 0.055 (0.175)	Loss 3.4963 (3.3899)	Prec@1 22.266 (24.069)	Prec@5 49.219 (51.093)
Epoch: [38][760/7045]	Time 0.119 (0.244)	Data 0.068 (0.175)	Loss 3.5876 (3.3901)	Prec@1 21.484 (24.076)	Prec@5 41.797 (51.086)
Epoch: [38][770/7045]	Time 0.188 (0.244)	Data 0.136 (0.175)	Loss 3.4726 (3.3903)	Prec@1 24.609 (24.077)	Prec@5 50.391 (51.086)
Epoch: [38][780/7045]	Time 0.101 (0.244)	Data 0.001 (0.175)	Loss 3.2257 (3.3902)	Prec@1 25.391 (24.077)	Prec@5 55.078 (51.095)
Epoch: [38][790/7045]	Time 0.208 (0.244)	Data 0.158 (0.175)	Loss 3.2380 (3.3889)	Prec@1 27.344 (24.097)	Prec@5 53.516 (51.135)
Epoch: [38][800/7045]	Time 0.250 (0.244)	Data 0.199 (0.175)	Loss 3.3772 (3.3890)	Prec@1 27.734 (24.099)	Prec@5 52.344 (51.127)
Epoch: [38][810/7045]	Time 0.252 (0.244)	Data 0.200 (0.176)	Loss 3.2804 (3.3886)	Prec@1 25.000 (24.101)	Prec@5 51.172 (51.127)
Epoch: [38][820/7045]	Time 0.538 (0.244)	Data 0.486 (0.176)	Loss 3.4519 (3.3891)	Prec@1 18.359 (24.087)	Prec@5 48.047 (51.110)
Epoch: [38][830/7045]	Time 0.102 (0.244)	Data 0.001 (0.176)	Loss 3.6652 (3.3896)	Prec@1 18.359 (24.080)	Prec@5 48.047 (51.100)
Epoch: [38][840/7045]	Time 0.350 (0.244)	Data 0.298 (0.176)	Loss 3.3386 (3.3898)	Prec@1 26.953 (24.087)	Prec@5 51.172 (51.094)
Epoch: [38][850/7045]	Time 0.100 (0.244)	Data 0.001 (0.176)	Loss 3.2981 (3.3905)	Prec@1 24.609 (24.081)	Prec@5 49.219 (51.087)
Epoch: [38][860/7045]	Time 0.103 (0.244)	Data 0.050 (0.176)	Loss 3.5526 (3.3907)	Prec@1 25.000 (24.083)	Prec@5 48.828 (51.093)
Epoch: [38][870/7045]	Time 0.102 (0.244)	Data 0.008 (0.176)	Loss 3.5394 (3.3917)	Prec@1 23.438 (24.065)	Prec@5 48.438 (51.074)
Epoch: [38][880/7045]	Time 0.424 (0.244)	Data 0.372 (0.176)	Loss 3.5837 (3.3926)	Prec@1 22.656 (24.055)	Prec@5 43.750 (51.062)
Epoch: [38][890/7045]	Time 0.114 (0.244)	Data 0.062 (0.176)	Loss 3.3553 (3.3921)	Prec@1 27.734 (24.070)	Prec@5 53.906 (51.085)
Epoch: [38][900/7045]	Time 0.327 (0.244)	Data 0.276 (0.176)	Loss 3.5793 (3.3920)	Prec@1 22.266 (24.081)	Prec@5 47.266 (51.089)
Epoch: [38][910/7045]	Time 0.442 (0.244)	Data 0.390 (0.176)	Loss 3.4303 (3.3922)	Prec@1 21.094 (24.074)	Prec@5 50.781 (51.086)
Epoch: [38][920/7045]	Time 0.225 (0.244)	Data 0.173 (0.176)	Loss 3.6372 (3.3921)	Prec@1 20.703 (24.066)	Prec@5 45.312 (51.088)
Epoch: [38][930/7045]	Time 0.298 (0.244)	Data 0.246 (0.176)	Loss 3.6673 (3.3921)	Prec@1 21.094 (24.062)	Prec@5 47.266 (51.092)
Epoch: [38][940/7045]	Time 0.131 (0.244)	Data 0.074 (0.177)	Loss 3.4707 (3.3919)	Prec@1 19.531 (24.061)	Prec@5 49.609 (51.096)
Epoch: [38][950/7045]	Time 0.227 (0.244)	Data 0.175 (0.177)	Loss 3.3263 (3.3916)	Prec@1 22.656 (24.063)	Prec@5 52.344 (51.095)
Epoch: [38][960/7045]	Time 0.226 (0.244)	Data 0.174 (0.177)	Loss 3.4105 (3.3923)	Prec@1 21.094 (24.048)	Prec@5 53.125 (51.075)
Epoch: [38][970/7045]	Time 0.101 (0.244)	Data 0.047 (0.177)	Loss 3.3731 (3.3925)	Prec@1 23.828 (24.030)	Prec@5 50.781 (51.064)
Epoch: [38][980/7045]	Time 0.246 (0.244)	Data 0.196 (0.177)	Loss 3.3315 (3.3924)	Prec@1 23.438 (24.019)	Prec@5 50.000 (51.062)
Epoch: [38][990/7045]	Time 0.317 (0.244)	Data 0.257 (0.177)	Loss 3.2429 (3.3920)	Prec@1 30.469 (24.030)	Prec@5 52.344 (51.071)
Epoch: [38][1000/7045]	Time 0.126 (0.244)	Data 0.074 (0.177)	Loss 3.3289 (3.3928)	Prec@1 23.438 (24.028)	Prec@5 53.516 (51.057)
Epoch: [38][1010/7045]	Time 0.318 (0.244)	Data 0.267 (0.178)	Loss 3.2469 (3.3923)	Prec@1 28.125 (24.036)	Prec@5 54.297 (51.058)
Epoch: [38][1020/7045]	Time 0.127 (0.244)	Data 0.069 (0.178)	Loss 3.5553 (3.3930)	Prec@1 24.219 (24.025)	Prec@5 48.438 (51.050)
Epoch: [38][1030/7045]	Time 0.154 (0.244)	Data 0.102 (0.178)	Loss 3.6009 (3.3930)	Prec@1 16.406 (24.019)	Prec@5 46.094 (51.052)
Epoch: [38][1040/7045]	Time 0.105 (0.244)	Data 0.003 (0.178)	Loss 3.6341 (3.3929)	Prec@1 19.922 (24.022)	Prec@5 43.359 (51.039)
Epoch: [38][1050/7045]	Time 0.134 (0.244)	Data 0.082 (0.178)	Loss 3.4241 (3.3926)	Prec@1 26.172 (24.025)	Prec@5 46.875 (51.046)
Epoch: [38][1060/7045]	Time 0.102 (0.244)	Data 0.001 (0.178)	Loss 3.3876 (3.3925)	Prec@1 23.047 (24.013)	Prec@5 53.516 (51.060)
Epoch: [38][1070/7045]	Time 0.103 (0.244)	Data 0.047 (0.177)	Loss 3.1549 (3.3927)	Prec@1 32.031 (24.020)	Prec@5 53.906 (51.057)
Epoch: [38][1080/7045]	Time 0.139 (0.244)	Data 0.087 (0.178)	Loss 3.4771 (3.3928)	Prec@1 22.656 (24.027)	Prec@5 51.562 (51.056)
Epoch: [38][1090/7045]	Time 0.102 (0.244)	Data 0.046 (0.177)	Loss 3.3254 (3.3933)	Prec@1 21.484 (24.007)	Prec@5 53.906 (51.040)
Epoch: [38][1100/7045]	Time 0.123 (0.244)	Data 0.073 (0.178)	Loss 3.2231 (3.3938)	Prec@1 23.828 (24.003)	Prec@5 56.250 (51.037)
Epoch: [38][1110/7045]	Time 0.148 (0.244)	Data 0.096 (0.178)	Loss 3.1789 (3.3934)	Prec@1 26.562 (24.009)	Prec@5 54.688 (51.041)
Epoch: [38][1120/7045]	Time 0.249 (0.244)	Data 0.197 (0.178)	Loss 3.4513 (3.3932)	Prec@1 24.219 (24.005)	Prec@5 50.000 (51.047)
Epoch: [38][1130/7045]	Time 0.111 (0.244)	Data 0.059 (0.178)	Loss 3.4750 (3.3935)	Prec@1 23.047 (24.000)	Prec@5 45.703 (51.037)
Epoch: [38][1140/7045]	Time 0.386 (0.244)	Data 0.336 (0.178)	Loss 3.4398 (3.3940)	Prec@1 26.953 (23.993)	Prec@5 48.828 (51.031)
Epoch: [38][1150/7045]	Time 0.101 (0.244)	Data 0.004 (0.178)	Loss 3.1678 (3.3938)	Prec@1 26.953 (23.998)	Prec@5 54.297 (51.037)
Epoch: [38][1160/7045]	Time 0.471 (0.244)	Data 0.412 (0.178)	Loss 3.3896 (3.3937)	Prec@1 23.438 (23.998)	Prec@5 49.609 (51.046)
Epoch: [38][1170/7045]	Time 0.105 (0.243)	Data 0.052 (0.178)	Loss 3.3907 (3.3939)	Prec@1 21.484 (23.997)	Prec@5 50.391 (51.038)
Epoch: [38][1180/7045]	Time 0.549 (0.244)	Data 0.498 (0.178)	Loss 3.3612 (3.3935)	Prec@1 26.953 (23.997)	Prec@5 51.562 (51.049)
Epoch: [38][1190/7045]	Time 0.108 (0.243)	Data 0.056 (0.178)	Loss 3.3364 (3.3928)	Prec@1 21.875 (24.006)	Prec@5 52.344 (51.068)
Epoch: [38][1200/7045]	Time 0.629 (0.244)	Data 0.577 (0.178)	Loss 3.4003 (3.3928)	Prec@1 22.656 (24.006)	Prec@5 50.781 (51.061)
Epoch: [38][1210/7045]	Time 0.142 (0.243)	Data 0.084 (0.178)	Loss 3.3130 (3.3931)	Prec@1 21.484 (23.995)	Prec@5 51.562 (51.059)
Epoch: [38][1220/7045]	Time 0.620 (0.244)	Data 0.569 (0.178)	Loss 3.4293 (3.3929)	Prec@1 21.875 (23.994)	Prec@5 48.828 (51.064)
Epoch: [38][1230/7045]	Time 0.108 (0.243)	Data 0.046 (0.178)	Loss 3.4291 (3.3928)	Prec@1 24.609 (23.985)	Prec@5 47.656 (51.065)
Epoch: [38][1240/7045]	Time 0.643 (0.244)	Data 0.587 (0.178)	Loss 3.5523 (3.3926)	Prec@1 23.047 (23.985)	Prec@5 49.219 (51.075)
Epoch: [38][1250/7045]	Time 0.101 (0.243)	Data 0.001 (0.178)	Loss 3.4214 (3.3923)	Prec@1 20.703 (23.982)	Prec@5 50.781 (51.083)
Epoch: [38][1260/7045]	Time 0.417 (0.243)	Data 0.367 (0.178)	Loss 3.3620 (3.3923)	Prec@1 21.094 (23.974)	Prec@5 53.516 (51.076)
Epoch: [38][1270/7045]	Time 0.102 (0.243)	Data 0.001 (0.178)	Loss 3.2494 (3.3920)	Prec@1 26.953 (23.988)	Prec@5 54.297 (51.087)
Epoch: [38][1280/7045]	Time 0.502 (0.243)	Data 0.451 (0.178)	Loss 3.4163 (3.3924)	Prec@1 27.344 (23.986)	Prec@5 53.516 (51.083)
Epoch: [38][1290/7045]	Time 0.106 (0.243)	Data 0.045 (0.178)	Loss 3.3013 (3.3926)	Prec@1 30.469 (23.986)	Prec@5 53.516 (51.077)
Epoch: [38][1300/7045]	Time 0.528 (0.243)	Data 0.479 (0.178)	Loss 3.3283 (3.3927)	Prec@1 27.344 (23.984)	Prec@5 52.344 (51.078)
Epoch: [38][1310/7045]	Time 0.189 (0.243)	Data 0.138 (0.178)	Loss 3.2958 (3.3929)	Prec@1 25.000 (23.977)	Prec@5 54.297 (51.093)
Epoch: [38][1320/7045]	Time 0.476 (0.243)	Data 0.424 (0.178)	Loss 3.2728 (3.3930)	Prec@1 26.172 (23.977)	Prec@5 54.688 (51.088)
Epoch: [38][1330/7045]	Time 0.232 (0.243)	Data 0.181 (0.178)	Loss 3.4871 (3.3927)	Prec@1 25.000 (23.979)	Prec@5 50.391 (51.087)
Epoch: [38][1340/7045]	Time 0.523 (0.243)	Data 0.473 (0.178)	Loss 3.3573 (3.3929)	Prec@1 21.875 (23.973)	Prec@5 54.688 (51.086)
Epoch: [38][1350/7045]	Time 0.251 (0.243)	Data 0.200 (0.178)	Loss 3.2115 (3.3925)	Prec@1 25.781 (23.981)	Prec@5 55.078 (51.096)
Epoch: [38][1360/7045]	Time 0.501 (0.243)	Data 0.444 (0.178)	Loss 3.2748 (3.3921)	Prec@1 26.562 (23.989)	Prec@5 55.859 (51.108)
Epoch: [38][1370/7045]	Time 0.211 (0.243)	Data 0.160 (0.178)	Loss 3.3128 (3.3922)	Prec@1 24.609 (23.985)	Prec@5 53.906 (51.107)
Epoch: [38][1380/7045]	Time 0.349 (0.243)	Data 0.299 (0.178)	Loss 3.4913 (3.3919)	Prec@1 23.047 (23.990)	Prec@5 44.922 (51.115)
Epoch: [38][1390/7045]	Time 0.298 (0.243)	Data 0.244 (0.178)	Loss 3.1772 (3.3919)	Prec@1 26.953 (23.986)	Prec@5 54.297 (51.115)
Epoch: [38][1400/7045]	Time 0.377 (0.243)	Data 0.321 (0.178)	Loss 3.2930 (3.3915)	Prec@1 26.172 (23.986)	Prec@5 54.297 (51.126)
Epoch: [38][1410/7045]	Time 0.250 (0.243)	Data 0.198 (0.178)	Loss 3.4507 (3.3918)	Prec@1 19.531 (23.975)	Prec@5 47.656 (51.119)
Epoch: [38][1420/7045]	Time 0.385 (0.243)	Data 0.335 (0.178)	Loss 3.2804 (3.3920)	Prec@1 25.781 (23.978)	Prec@5 51.562 (51.110)
Epoch: [38][1430/7045]	Time 0.284 (0.243)	Data 0.232 (0.178)	Loss 3.3025 (3.3922)	Prec@1 26.562 (23.971)	Prec@5 52.734 (51.098)
Epoch: [38][1440/7045]	Time 0.327 (0.243)	Data 0.277 (0.178)	Loss 3.2488 (3.3921)	Prec@1 24.219 (23.973)	Prec@5 54.688 (51.105)
Epoch: [38][1450/7045]	Time 0.230 (0.243)	Data 0.180 (0.178)	Loss 3.4548 (3.3921)	Prec@1 26.172 (23.978)	Prec@5 50.000 (51.098)
Epoch: [38][1460/7045]	Time 0.334 (0.243)	Data 0.283 (0.178)	Loss 3.1361 (3.3923)	Prec@1 26.562 (23.970)	Prec@5 60.156 (51.088)
Epoch: [38][1470/7045]	Time 0.260 (0.243)	Data 0.205 (0.178)	Loss 3.4621 (3.3924)	Prec@1 26.953 (23.982)	Prec@5 49.609 (51.089)
Epoch: [38][1480/7045]	Time 0.358 (0.243)	Data 0.306 (0.178)	Loss 3.2968 (3.3922)	Prec@1 25.391 (23.988)	Prec@5 54.688 (51.089)
Epoch: [38][1490/7045]	Time 0.217 (0.243)	Data 0.166 (0.178)	Loss 3.2600 (3.3924)	Prec@1 27.344 (23.988)	Prec@5 53.906 (51.084)
Epoch: [38][1500/7045]	Time 0.283 (0.243)	Data 0.233 (0.178)	Loss 3.4583 (3.3923)	Prec@1 27.734 (23.995)	Prec@5 47.266 (51.084)
Epoch: [38][1510/7045]	Time 0.305 (0.243)	Data 0.254 (0.178)	Loss 3.2775 (3.3925)	Prec@1 28.125 (23.991)	Prec@5 52.734 (51.080)
Epoch: [38][1520/7045]	Time 0.343 (0.243)	Data 0.292 (0.178)	Loss 3.2038 (3.3923)	Prec@1 29.297 (24.001)	Prec@5 56.250 (51.087)
Epoch: [38][1530/7045]	Time 0.201 (0.243)	Data 0.146 (0.178)	Loss 3.1899 (3.3919)	Prec@1 26.953 (24.006)	Prec@5 57.031 (51.100)
Epoch: [38][1540/7045]	Time 0.362 (0.243)	Data 0.312 (0.178)	Loss 3.2986 (3.3920)	Prec@1 22.266 (24.007)	Prec@5 55.859 (51.102)
Epoch: [38][1550/7045]	Time 0.217 (0.243)	Data 0.157 (0.178)	Loss 3.4863 (3.3918)	Prec@1 24.219 (24.011)	Prec@5 53.516 (51.105)
Epoch: [38][1560/7045]	Time 0.392 (0.243)	Data 0.340 (0.178)	Loss 3.6152 (3.3921)	Prec@1 19.531 (24.013)	Prec@5 43.359 (51.097)
Epoch: [38][1570/7045]	Time 0.184 (0.243)	Data 0.128 (0.178)	Loss 3.3933 (3.3921)	Prec@1 21.875 (24.007)	Prec@5 51.562 (51.096)
Epoch: [38][1580/7045]	Time 0.352 (0.243)	Data 0.302 (0.178)	Loss 3.4153 (3.3923)	Prec@1 24.219 (24.009)	Prec@5 50.781 (51.094)
Epoch: [38][1590/7045]	Time 0.341 (0.243)	Data 0.290 (0.178)	Loss 3.4543 (3.3921)	Prec@1 23.438 (24.014)	Prec@5 47.656 (51.097)
Epoch: [38][1600/7045]	Time 0.264 (0.243)	Data 0.213 (0.178)	Loss 3.3527 (3.3923)	Prec@1 25.000 (24.013)	Prec@5 52.344 (51.094)
Epoch: [38][1610/7045]	Time 0.170 (0.243)	Data 0.119 (0.178)	Loss 3.4476 (3.3924)	Prec@1 23.828 (24.010)	Prec@5 47.656 (51.089)
Epoch: [38][1620/7045]	Time 0.222 (0.243)	Data 0.172 (0.178)	Loss 3.2862 (3.3921)	Prec@1 24.609 (24.020)	Prec@5 50.781 (51.095)
Epoch: [38][1630/7045]	Time 0.291 (0.243)	Data 0.240 (0.178)	Loss 3.2616 (3.3918)	Prec@1 24.609 (24.017)	Prec@5 55.078 (51.101)
Epoch: [38][1640/7045]	Time 0.100 (0.243)	Data 0.046 (0.178)	Loss 3.5115 (3.3921)	Prec@1 26.562 (24.009)	Prec@5 48.438 (51.095)
Epoch: [38][1650/7045]	Time 0.278 (0.243)	Data 0.228 (0.178)	Loss 3.4508 (3.3923)	Prec@1 21.094 (24.004)	Prec@5 48.828 (51.093)
Epoch: [38][1660/7045]	Time 0.102 (0.243)	Data 0.046 (0.178)	Loss 3.3832 (3.3924)	Prec@1 27.344 (24.006)	Prec@5 57.031 (51.099)
Epoch: [38][1670/7045]	Time 0.306 (0.243)	Data 0.254 (0.178)	Loss 3.6083 (3.3924)	Prec@1 18.359 (23.997)	Prec@5 46.094 (51.092)
Epoch: [38][1680/7045]	Time 0.105 (0.243)	Data 0.053 (0.178)	Loss 3.3990 (3.3924)	Prec@1 24.219 (23.998)	Prec@5 50.391 (51.092)
Epoch: [38][1690/7045]	Time 0.318 (0.243)	Data 0.260 (0.178)	Loss 3.5386 (3.3925)	Prec@1 20.312 (23.995)	Prec@5 51.172 (51.091)
Epoch: [38][1700/7045]	Time 0.455 (0.243)	Data 0.398 (0.179)	Loss 3.6299 (3.3926)	Prec@1 21.484 (23.993)	Prec@5 46.094 (51.089)
Epoch: [38][1710/7045]	Time 0.195 (0.243)	Data 0.144 (0.178)	Loss 3.4454 (3.3924)	Prec@1 24.219 (23.997)	Prec@5 52.344 (51.097)
Epoch: [38][1720/7045]	Time 0.582 (0.243)	Data 0.532 (0.179)	Loss 3.3416 (3.3920)	Prec@1 22.656 (23.998)	Prec@5 49.609 (51.103)
Epoch: [38][1730/7045]	Time 0.154 (0.243)	Data 0.102 (0.178)	Loss 3.2425 (3.3917)	Prec@1 27.344 (24.008)	Prec@5 55.859 (51.110)
Epoch: [38][1740/7045]	Time 0.435 (0.243)	Data 0.384 (0.179)	Loss 3.3242 (3.3920)	Prec@1 24.609 (23.999)	Prec@5 53.906 (51.108)
Epoch: [38][1750/7045]	Time 0.111 (0.243)	Data 0.059 (0.179)	Loss 3.3623 (3.3920)	Prec@1 24.609 (23.997)	Prec@5 52.344 (51.116)
Epoch: [38][1760/7045]	Time 0.391 (0.243)	Data 0.341 (0.179)	Loss 3.4117 (3.3921)	Prec@1 26.953 (24.002)	Prec@5 53.516 (51.119)
Epoch: [38][1770/7045]	Time 0.372 (0.243)	Data 0.320 (0.179)	Loss 3.3732 (3.3921)	Prec@1 22.656 (24.000)	Prec@5 50.000 (51.113)
Epoch: [38][1780/7045]	Time 0.153 (0.243)	Data 0.101 (0.179)	Loss 3.4561 (3.3921)	Prec@1 23.828 (24.001)	Prec@5 48.438 (51.113)
Epoch: [38][1790/7045]	Time 0.306 (0.243)	Data 0.254 (0.179)	Loss 3.3464 (3.3919)	Prec@1 19.531 (24.001)	Prec@5 52.734 (51.115)
Epoch: [38][1800/7045]	Time 0.233 (0.243)	Data 0.182 (0.179)	Loss 3.2243 (3.3915)	Prec@1 26.172 (24.008)	Prec@5 55.469 (51.120)
Epoch: [38][1810/7045]	Time 0.102 (0.243)	Data 0.002 (0.179)	Loss 3.3560 (3.3914)	Prec@1 20.703 (24.015)	Prec@5 51.953 (51.122)
Epoch: [38][1820/7045]	Time 0.245 (0.243)	Data 0.193 (0.179)	Loss 3.3716 (3.3916)	Prec@1 26.172 (24.009)	Prec@5 50.781 (51.118)
Epoch: [38][1830/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 3.2862 (3.3915)	Prec@1 26.953 (24.008)	Prec@5 53.516 (51.118)
Epoch: [38][1840/7045]	Time 0.392 (0.243)	Data 0.340 (0.179)	Loss 3.4514 (3.3915)	Prec@1 23.047 (24.003)	Prec@5 52.734 (51.122)
Epoch: [38][1850/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 3.3803 (3.3915)	Prec@1 25.391 (24.006)	Prec@5 50.391 (51.122)
Epoch: [38][1860/7045]	Time 0.469 (0.243)	Data 0.417 (0.179)	Loss 3.5164 (3.3918)	Prec@1 23.438 (24.004)	Prec@5 48.047 (51.113)
Epoch: [38][1870/7045]	Time 0.173 (0.243)	Data 0.122 (0.179)	Loss 3.3602 (3.3919)	Prec@1 23.828 (24.005)	Prec@5 53.906 (51.117)
Epoch: [38][1880/7045]	Time 0.528 (0.244)	Data 0.469 (0.180)	Loss 3.3557 (3.3918)	Prec@1 20.703 (24.008)	Prec@5 50.781 (51.120)
Epoch: [38][1890/7045]	Time 0.101 (0.244)	Data 0.016 (0.180)	Loss 3.3158 (3.3914)	Prec@1 23.047 (24.011)	Prec@5 52.344 (51.133)
Epoch: [38][1900/7045]	Time 0.358 (0.244)	Data 0.307 (0.180)	Loss 3.2193 (3.3911)	Prec@1 26.172 (24.016)	Prec@5 55.469 (51.139)
Epoch: [38][1910/7045]	Time 0.102 (0.244)	Data 0.001 (0.180)	Loss 3.3969 (3.3912)	Prec@1 25.391 (24.011)	Prec@5 52.344 (51.139)
Epoch: [38][1920/7045]	Time 0.133 (0.244)	Data 0.080 (0.180)	Loss 3.3432 (3.3909)	Prec@1 26.953 (24.011)	Prec@5 52.734 (51.151)
Epoch: [38][1930/7045]	Time 0.633 (0.244)	Data 0.581 (0.180)	Loss 3.4490 (3.3908)	Prec@1 22.656 (24.012)	Prec@5 51.562 (51.159)
Epoch: [38][1940/7045]	Time 0.151 (0.244)	Data 0.098 (0.180)	Loss 3.3655 (3.3903)	Prec@1 24.219 (24.022)	Prec@5 51.953 (51.172)
Epoch: [38][1950/7045]	Time 0.259 (0.244)	Data 0.207 (0.180)	Loss 3.4007 (3.3900)	Prec@1 22.656 (24.023)	Prec@5 48.828 (51.179)
Epoch: [38][1960/7045]	Time 0.102 (0.244)	Data 0.007 (0.180)	Loss 3.4805 (3.3896)	Prec@1 25.000 (24.027)	Prec@5 51.172 (51.192)
Epoch: [38][1970/7045]	Time 0.373 (0.244)	Data 0.320 (0.180)	Loss 3.4060 (3.3895)	Prec@1 22.656 (24.024)	Prec@5 53.906 (51.198)
Epoch: [38][1980/7045]	Time 0.102 (0.244)	Data 0.004 (0.180)	Loss 3.4120 (3.3895)	Prec@1 27.734 (24.018)	Prec@5 49.219 (51.197)
Epoch: [38][1990/7045]	Time 0.314 (0.244)	Data 0.263 (0.181)	Loss 3.4441 (3.3897)	Prec@1 23.438 (24.015)	Prec@5 49.609 (51.195)
Epoch: [38][2000/7045]	Time 0.636 (0.245)	Data 0.584 (0.181)	Loss 3.4710 (3.3895)	Prec@1 24.609 (24.017)	Prec@5 50.391 (51.206)
Epoch: [38][2010/7045]	Time 0.101 (0.245)	Data 0.001 (0.181)	Loss 3.1202 (3.3892)	Prec@1 26.953 (24.020)	Prec@5 58.594 (51.214)
Epoch: [38][2020/7045]	Time 0.366 (0.245)	Data 0.314 (0.181)	Loss 3.3916 (3.3895)	Prec@1 23.438 (24.016)	Prec@5 50.781 (51.206)
Epoch: [38][2030/7045]	Time 0.379 (0.245)	Data 0.328 (0.181)	Loss 3.4364 (3.3899)	Prec@1 25.391 (24.009)	Prec@5 47.266 (51.202)
Epoch: [38][2040/7045]	Time 0.102 (0.245)	Data 0.001 (0.181)	Loss 3.2015 (3.3899)	Prec@1 25.781 (24.011)	Prec@5 53.516 (51.201)
Epoch: [38][2050/7045]	Time 0.211 (0.245)	Data 0.152 (0.181)	Loss 3.5516 (3.3899)	Prec@1 24.219 (24.012)	Prec@5 50.000 (51.203)
Epoch: [38][2060/7045]	Time 0.140 (0.245)	Data 0.087 (0.181)	Loss 3.1619 (3.3900)	Prec@1 25.391 (24.011)	Prec@5 56.641 (51.199)
Epoch: [38][2070/7045]	Time 0.107 (0.245)	Data 0.001 (0.181)	Loss 3.3293 (3.3898)	Prec@1 20.703 (24.012)	Prec@5 53.906 (51.199)
Epoch: [38][2080/7045]	Time 0.103 (0.245)	Data 0.001 (0.181)	Loss 3.2946 (3.3898)	Prec@1 26.562 (24.012)	Prec@5 49.219 (51.200)
Epoch: [38][2090/7045]	Time 0.435 (0.245)	Data 0.384 (0.181)	Loss 3.4240 (3.3902)	Prec@1 20.312 (24.006)	Prec@5 49.609 (51.192)
Epoch: [38][2100/7045]	Time 0.289 (0.245)	Data 0.237 (0.181)	Loss 3.1875 (3.3898)	Prec@1 23.438 (24.014)	Prec@5 56.250 (51.193)
Epoch: [38][2110/7045]	Time 0.434 (0.245)	Data 0.382 (0.181)	Loss 3.6283 (3.3903)	Prec@1 23.047 (24.009)	Prec@5 46.094 (51.179)
Epoch: [38][2120/7045]	Time 0.101 (0.245)	Data 0.005 (0.181)	Loss 3.4411 (3.3902)	Prec@1 21.094 (24.010)	Prec@5 51.172 (51.182)
Epoch: [38][2130/7045]	Time 0.304 (0.245)	Data 0.253 (0.182)	Loss 3.3051 (3.3901)	Prec@1 24.609 (24.010)	Prec@5 51.953 (51.187)
Epoch: [38][2140/7045]	Time 0.234 (0.245)	Data 0.184 (0.182)	Loss 3.5959 (3.3902)	Prec@1 19.922 (24.012)	Prec@5 48.047 (51.190)
Epoch: [38][2150/7045]	Time 0.535 (0.245)	Data 0.484 (0.182)	Loss 3.4034 (3.3903)	Prec@1 22.266 (24.010)	Prec@5 48.047 (51.186)
Epoch: [38][2160/7045]	Time 0.268 (0.245)	Data 0.217 (0.182)	Loss 3.1634 (3.3901)	Prec@1 30.859 (24.013)	Prec@5 56.641 (51.189)
Epoch: [38][2170/7045]	Time 0.456 (0.246)	Data 0.406 (0.182)	Loss 3.4055 (3.3900)	Prec@1 27.734 (24.018)	Prec@5 51.562 (51.189)
Epoch: [38][2180/7045]	Time 0.110 (0.246)	Data 0.059 (0.182)	Loss 3.4554 (3.3899)	Prec@1 22.266 (24.018)	Prec@5 50.391 (51.196)
Epoch: [38][2190/7045]	Time 0.705 (0.246)	Data 0.654 (0.182)	Loss 3.5834 (3.3902)	Prec@1 24.609 (24.013)	Prec@5 50.000 (51.190)
Epoch: [38][2200/7045]	Time 0.114 (0.246)	Data 0.063 (0.182)	Loss 3.3232 (3.3899)	Prec@1 26.953 (24.019)	Prec@5 50.391 (51.194)
Epoch: [38][2210/7045]	Time 0.632 (0.246)	Data 0.579 (0.182)	Loss 3.4614 (3.3901)	Prec@1 21.484 (24.017)	Prec@5 50.000 (51.190)
Epoch: [38][2220/7045]	Time 0.102 (0.246)	Data 0.003 (0.182)	Loss 3.6481 (3.3903)	Prec@1 19.141 (24.015)	Prec@5 44.141 (51.186)
Epoch: [38][2230/7045]	Time 0.341 (0.246)	Data 0.289 (0.182)	Loss 3.4052 (3.3905)	Prec@1 21.875 (24.006)	Prec@5 51.562 (51.183)
Epoch: [38][2240/7045]	Time 0.101 (0.246)	Data 0.001 (0.182)	Loss 3.3146 (3.3903)	Prec@1 27.734 (24.008)	Prec@5 54.297 (51.190)
Epoch: [38][2250/7045]	Time 0.113 (0.246)	Data 0.061 (0.182)	Loss 3.3286 (3.3902)	Prec@1 25.781 (24.010)	Prec@5 54.688 (51.197)
Epoch: [38][2260/7045]	Time 0.100 (0.246)	Data 0.001 (0.182)	Loss 3.4962 (3.3903)	Prec@1 25.391 (24.011)	Prec@5 46.484 (51.194)
Epoch: [38][2270/7045]	Time 0.151 (0.246)	Data 0.098 (0.182)	Loss 3.3409 (3.3900)	Prec@1 23.438 (24.009)	Prec@5 53.516 (51.201)
Epoch: [38][2280/7045]	Time 0.166 (0.246)	Data 0.114 (0.182)	Loss 3.2086 (3.3899)	Prec@1 27.344 (24.011)	Prec@5 58.203 (51.204)
Epoch: [38][2290/7045]	Time 0.351 (0.246)	Data 0.300 (0.182)	Loss 3.4809 (3.3899)	Prec@1 25.391 (24.009)	Prec@5 50.000 (51.199)
Epoch: [38][2300/7045]	Time 0.109 (0.246)	Data 0.001 (0.182)	Loss 3.4268 (3.3899)	Prec@1 23.438 (24.010)	Prec@5 49.609 (51.202)
Epoch: [38][2310/7045]	Time 0.669 (0.246)	Data 0.611 (0.182)	Loss 3.3445 (3.3898)	Prec@1 24.219 (24.007)	Prec@5 54.688 (51.203)
Epoch: [38][2320/7045]	Time 0.102 (0.246)	Data 0.001 (0.182)	Loss 3.4984 (3.3897)	Prec@1 23.047 (24.010)	Prec@5 49.609 (51.203)
Epoch: [38][2330/7045]	Time 0.616 (0.246)	Data 0.565 (0.182)	Loss 3.2814 (3.3896)	Prec@1 24.219 (24.007)	Prec@5 53.906 (51.204)
Epoch: [38][2340/7045]	Time 0.293 (0.246)	Data 0.234 (0.182)	Loss 3.3237 (3.3894)	Prec@1 24.609 (24.005)	Prec@5 52.734 (51.210)
Epoch: [38][2350/7045]	Time 0.375 (0.246)	Data 0.325 (0.182)	Loss 3.2652 (3.3895)	Prec@1 23.047 (24.011)	Prec@5 50.391 (51.204)
Epoch: [38][2360/7045]	Time 0.671 (0.246)	Data 0.619 (0.183)	Loss 3.5822 (3.3892)	Prec@1 26.562 (24.015)	Prec@5 48.438 (51.209)
Epoch: [38][2370/7045]	Time 0.102 (0.246)	Data 0.001 (0.182)	Loss 3.1756 (3.3890)	Prec@1 27.344 (24.017)	Prec@5 51.562 (51.212)
Epoch: [38][2380/7045]	Time 0.552 (0.246)	Data 0.500 (0.182)	Loss 3.3326 (3.3891)	Prec@1 25.391 (24.013)	Prec@5 52.344 (51.206)
Epoch: [38][2390/7045]	Time 0.196 (0.246)	Data 0.139 (0.182)	Loss 3.2944 (3.3890)	Prec@1 23.828 (24.014)	Prec@5 57.422 (51.208)
Epoch: [38][2400/7045]	Time 0.320 (0.246)	Data 0.267 (0.183)	Loss 3.4734 (3.3890)	Prec@1 19.922 (24.016)	Prec@5 48.047 (51.205)
Epoch: [38][2410/7045]	Time 0.380 (0.246)	Data 0.328 (0.183)	Loss 3.2212 (3.3887)	Prec@1 24.219 (24.020)	Prec@5 55.859 (51.211)
Epoch: [38][2420/7045]	Time 0.153 (0.246)	Data 0.102 (0.183)	Loss 3.4144 (3.3887)	Prec@1 22.656 (24.020)	Prec@5 47.266 (51.205)
Epoch: [38][2430/7045]	Time 0.239 (0.246)	Data 0.188 (0.183)	Loss 3.3904 (3.3889)	Prec@1 21.094 (24.013)	Prec@5 52.344 (51.202)
Epoch: [38][2440/7045]	Time 0.102 (0.246)	Data 0.049 (0.183)	Loss 3.5663 (3.3888)	Prec@1 16.016 (24.008)	Prec@5 50.000 (51.201)
Epoch: [38][2450/7045]	Time 0.295 (0.247)	Data 0.244 (0.183)	Loss 3.5841 (3.3889)	Prec@1 21.094 (24.006)	Prec@5 48.047 (51.198)
Epoch: [38][2460/7045]	Time 0.117 (0.247)	Data 0.066 (0.183)	Loss 3.3986 (3.3889)	Prec@1 27.344 (24.006)	Prec@5 53.516 (51.200)
Epoch: [38][2470/7045]	Time 0.488 (0.247)	Data 0.436 (0.183)	Loss 3.4123 (3.3888)	Prec@1 23.438 (24.005)	Prec@5 53.516 (51.200)
Epoch: [38][2480/7045]	Time 0.112 (0.247)	Data 0.060 (0.183)	Loss 3.3170 (3.3888)	Prec@1 28.125 (24.004)	Prec@5 52.734 (51.199)
Epoch: [38][2490/7045]	Time 0.370 (0.247)	Data 0.319 (0.183)	Loss 3.4628 (3.3887)	Prec@1 19.531 (24.006)	Prec@5 51.953 (51.201)
Epoch: [38][2500/7045]	Time 0.120 (0.247)	Data 0.068 (0.183)	Loss 3.2817 (3.3885)	Prec@1 25.391 (24.011)	Prec@5 52.734 (51.202)
Epoch: [38][2510/7045]	Time 0.252 (0.247)	Data 0.200 (0.183)	Loss 3.4446 (3.3884)	Prec@1 21.875 (24.012)	Prec@5 49.219 (51.205)
Epoch: [38][2520/7045]	Time 0.363 (0.247)	Data 0.310 (0.183)	Loss 3.2913 (3.3883)	Prec@1 25.391 (24.016)	Prec@5 52.734 (51.205)
Epoch: [38][2530/7045]	Time 0.101 (0.247)	Data 0.008 (0.183)	Loss 3.6365 (3.3883)	Prec@1 21.875 (24.017)	Prec@5 48.438 (51.207)
Epoch: [38][2540/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 3.5865 (3.3884)	Prec@1 21.094 (24.012)	Prec@5 42.969 (51.203)
Epoch: [38][2550/7045]	Time 0.414 (0.247)	Data 0.363 (0.183)	Loss 3.3454 (3.3884)	Prec@1 25.781 (24.011)	Prec@5 57.031 (51.203)
Epoch: [38][2560/7045]	Time 0.102 (0.247)	Data 0.003 (0.183)	Loss 3.4323 (3.3884)	Prec@1 21.875 (24.013)	Prec@5 51.562 (51.201)
Epoch: [38][2570/7045]	Time 0.171 (0.247)	Data 0.113 (0.184)	Loss 3.5092 (3.3885)	Prec@1 23.438 (24.015)	Prec@5 49.609 (51.196)
Epoch: [38][2580/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 3.3618 (3.3885)	Prec@1 22.266 (24.017)	Prec@5 54.688 (51.200)
Epoch: [38][2590/7045]	Time 0.128 (0.247)	Data 0.077 (0.184)	Loss 3.3605 (3.3886)	Prec@1 26.172 (24.019)	Prec@5 54.297 (51.196)
Epoch: [38][2600/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 3.4422 (3.3887)	Prec@1 23.047 (24.016)	Prec@5 48.047 (51.190)
Epoch: [38][2610/7045]	Time 0.115 (0.247)	Data 0.053 (0.183)	Loss 3.4762 (3.3887)	Prec@1 18.359 (24.020)	Prec@5 48.047 (51.185)
Epoch: [38][2620/7045]	Time 0.236 (0.247)	Data 0.184 (0.183)	Loss 3.1617 (3.3887)	Prec@1 27.734 (24.025)	Prec@5 54.688 (51.183)
Epoch: [38][2630/7045]	Time 0.101 (0.247)	Data 0.002 (0.183)	Loss 3.5620 (3.3887)	Prec@1 18.750 (24.020)	Prec@5 48.438 (51.182)
Epoch: [38][2640/7045]	Time 0.351 (0.247)	Data 0.299 (0.184)	Loss 3.2192 (3.3886)	Prec@1 26.953 (24.017)	Prec@5 51.562 (51.182)
Epoch: [38][2650/7045]	Time 0.329 (0.247)	Data 0.277 (0.184)	Loss 3.2832 (3.3886)	Prec@1 26.953 (24.019)	Prec@5 54.688 (51.183)
Epoch: [38][2660/7045]	Time 0.203 (0.247)	Data 0.152 (0.184)	Loss 3.3515 (3.3884)	Prec@1 27.734 (24.025)	Prec@5 51.562 (51.192)
Epoch: [38][2670/7045]	Time 0.511 (0.247)	Data 0.458 (0.184)	Loss 3.4680 (3.3884)	Prec@1 20.312 (24.024)	Prec@5 50.391 (51.192)
Epoch: [38][2680/7045]	Time 0.167 (0.247)	Data 0.115 (0.184)	Loss 3.5072 (3.3885)	Prec@1 23.438 (24.022)	Prec@5 49.219 (51.195)
Epoch: [38][2690/7045]	Time 0.461 (0.247)	Data 0.409 (0.184)	Loss 3.3368 (3.3885)	Prec@1 23.828 (24.019)	Prec@5 51.562 (51.195)
Epoch: [38][2700/7045]	Time 0.243 (0.247)	Data 0.191 (0.184)	Loss 3.3064 (3.3885)	Prec@1 23.828 (24.022)	Prec@5 54.297 (51.193)
Epoch: [38][2710/7045]	Time 0.110 (0.247)	Data 0.009 (0.184)	Loss 3.3020 (3.3887)	Prec@1 26.953 (24.023)	Prec@5 54.297 (51.193)
Epoch: [38][2720/7045]	Time 0.598 (0.248)	Data 0.547 (0.184)	Loss 3.5583 (3.3888)	Prec@1 23.047 (24.014)	Prec@5 46.484 (51.190)
Epoch: [38][2730/7045]	Time 0.113 (0.247)	Data 0.061 (0.184)	Loss 3.5434 (3.3886)	Prec@1 23.828 (24.019)	Prec@5 50.000 (51.196)
Epoch: [38][2740/7045]	Time 0.543 (0.248)	Data 0.490 (0.184)	Loss 3.3400 (3.3889)	Prec@1 25.391 (24.020)	Prec@5 49.219 (51.191)
Epoch: [38][2750/7045]	Time 0.186 (0.248)	Data 0.135 (0.184)	Loss 3.2577 (3.3887)	Prec@1 24.219 (24.020)	Prec@5 53.516 (51.194)
Epoch: [38][2760/7045]	Time 0.398 (0.248)	Data 0.346 (0.184)	Loss 3.5327 (3.3888)	Prec@1 22.266 (24.018)	Prec@5 46.094 (51.194)
Epoch: [38][2770/7045]	Time 0.360 (0.248)	Data 0.308 (0.184)	Loss 3.2563 (3.3888)	Prec@1 28.516 (24.018)	Prec@5 57.812 (51.196)
Epoch: [38][2780/7045]	Time 0.100 (0.248)	Data 0.006 (0.184)	Loss 3.4673 (3.3890)	Prec@1 22.656 (24.018)	Prec@5 48.828 (51.192)
Epoch: [38][2790/7045]	Time 0.331 (0.248)	Data 0.279 (0.184)	Loss 3.3681 (3.3891)	Prec@1 24.219 (24.016)	Prec@5 51.562 (51.196)
Epoch: [38][2800/7045]	Time 0.101 (0.248)	Data 0.005 (0.184)	Loss 3.3054 (3.3890)	Prec@1 26.172 (24.018)	Prec@5 53.906 (51.202)
Epoch: [38][2810/7045]	Time 0.223 (0.248)	Data 0.164 (0.184)	Loss 3.4609 (3.3889)	Prec@1 19.922 (24.018)	Prec@5 55.078 (51.206)
Epoch: [38][2820/7045]	Time 0.101 (0.248)	Data 0.001 (0.184)	Loss 3.2981 (3.3891)	Prec@1 24.219 (24.015)	Prec@5 55.859 (51.204)
Epoch: [38][2830/7045]	Time 0.139 (0.248)	Data 0.087 (0.184)	Loss 3.6182 (3.3890)	Prec@1 21.094 (24.015)	Prec@5 47.656 (51.203)
Epoch: [38][2840/7045]	Time 0.102 (0.248)	Data 0.007 (0.184)	Loss 3.3814 (3.3891)	Prec@1 21.094 (24.013)	Prec@5 47.266 (51.202)
Epoch: [38][2850/7045]	Time 0.110 (0.248)	Data 0.058 (0.184)	Loss 3.3301 (3.3891)	Prec@1 24.609 (24.014)	Prec@5 53.906 (51.202)
Epoch: [38][2860/7045]	Time 0.206 (0.248)	Data 0.148 (0.184)	Loss 3.3313 (3.3890)	Prec@1 26.172 (24.016)	Prec@5 52.734 (51.204)
Epoch: [38][2870/7045]	Time 0.267 (0.248)	Data 0.215 (0.184)	Loss 3.2856 (3.3891)	Prec@1 23.828 (24.013)	Prec@5 54.297 (51.200)
Epoch: [38][2880/7045]	Time 0.170 (0.248)	Data 0.119 (0.184)	Loss 3.4844 (3.3890)	Prec@1 22.656 (24.014)	Prec@5 51.172 (51.205)
Epoch: [38][2890/7045]	Time 0.305 (0.248)	Data 0.253 (0.184)	Loss 3.4565 (3.3890)	Prec@1 24.609 (24.012)	Prec@5 53.516 (51.210)
Epoch: [38][2900/7045]	Time 0.098 (0.248)	Data 0.001 (0.184)	Loss 3.4600 (3.3889)	Prec@1 20.703 (24.009)	Prec@5 50.781 (51.211)
Epoch: [38][2910/7045]	Time 0.657 (0.248)	Data 0.605 (0.185)	Loss 3.3821 (3.3889)	Prec@1 25.000 (24.014)	Prec@5 50.781 (51.213)
Epoch: [38][2920/7045]	Time 0.102 (0.248)	Data 0.004 (0.184)	Loss 3.3168 (3.3887)	Prec@1 24.609 (24.013)	Prec@5 54.688 (51.218)
Epoch: [38][2930/7045]	Time 0.331 (0.248)	Data 0.279 (0.184)	Loss 3.2694 (3.3888)	Prec@1 23.828 (24.013)	Prec@5 50.781 (51.215)
Epoch: [38][2940/7045]	Time 0.185 (0.248)	Data 0.133 (0.184)	Loss 3.3022 (3.3889)	Prec@1 24.609 (24.011)	Prec@5 50.391 (51.213)
Epoch: [38][2950/7045]	Time 0.130 (0.248)	Data 0.078 (0.185)	Loss 3.2235 (3.3890)	Prec@1 23.828 (24.007)	Prec@5 56.641 (51.211)
Epoch: [38][2960/7045]	Time 0.238 (0.248)	Data 0.187 (0.185)	Loss 3.3098 (3.3888)	Prec@1 26.953 (24.010)	Prec@5 51.562 (51.214)
Epoch: [38][2970/7045]	Time 0.112 (0.248)	Data 0.061 (0.185)	Loss 3.4193 (3.3888)	Prec@1 25.000 (24.010)	Prec@5 49.609 (51.213)
Epoch: [38][2980/7045]	Time 0.260 (0.248)	Data 0.209 (0.185)	Loss 3.2106 (3.3890)	Prec@1 29.297 (24.008)	Prec@5 54.297 (51.208)
Epoch: [38][2990/7045]	Time 0.196 (0.248)	Data 0.143 (0.185)	Loss 3.5114 (3.3891)	Prec@1 19.141 (24.005)	Prec@5 46.484 (51.207)
Epoch: [38][3000/7045]	Time 0.345 (0.248)	Data 0.292 (0.185)	Loss 3.4219 (3.3891)	Prec@1 25.000 (24.004)	Prec@5 51.562 (51.206)
Epoch: [38][3010/7045]	Time 0.234 (0.248)	Data 0.183 (0.185)	Loss 3.1813 (3.3890)	Prec@1 25.000 (24.001)	Prec@5 53.906 (51.207)
Epoch: [38][3020/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 3.2592 (3.3889)	Prec@1 23.828 (23.999)	Prec@5 56.250 (51.207)
Epoch: [38][3030/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 3.4173 (3.3887)	Prec@1 23.438 (24.000)	Prec@5 53.125 (51.213)
Epoch: [38][3040/7045]	Time 0.518 (0.249)	Data 0.459 (0.185)	Loss 3.5367 (3.3886)	Prec@1 18.750 (23.998)	Prec@5 46.875 (51.212)
Epoch: [38][3050/7045]	Time 0.105 (0.249)	Data 0.052 (0.185)	Loss 3.2944 (3.3885)	Prec@1 27.344 (24.001)	Prec@5 52.344 (51.216)
Epoch: [38][3060/7045]	Time 0.284 (0.249)	Data 0.233 (0.185)	Loss 3.2761 (3.3883)	Prec@1 24.219 (24.005)	Prec@5 52.344 (51.221)
Epoch: [38][3070/7045]	Time 0.182 (0.249)	Data 0.130 (0.185)	Loss 3.4071 (3.3882)	Prec@1 25.391 (24.001)	Prec@5 51.172 (51.223)
Epoch: [38][3080/7045]	Time 0.108 (0.249)	Data 0.005 (0.185)	Loss 3.3783 (3.3883)	Prec@1 22.656 (24.001)	Prec@5 46.875 (51.220)
Epoch: [38][3090/7045]	Time 0.285 (0.249)	Data 0.234 (0.185)	Loss 3.3161 (3.3882)	Prec@1 27.734 (24.003)	Prec@5 50.781 (51.222)
Epoch: [38][3100/7045]	Time 0.252 (0.249)	Data 0.199 (0.185)	Loss 3.4319 (3.3882)	Prec@1 25.781 (24.006)	Prec@5 51.562 (51.225)
Epoch: [38][3110/7045]	Time 0.101 (0.249)	Data 0.003 (0.185)	Loss 3.4216 (3.3881)	Prec@1 25.391 (24.007)	Prec@5 50.781 (51.224)
Epoch: [38][3120/7045]	Time 0.639 (0.249)	Data 0.586 (0.185)	Loss 3.5340 (3.3878)	Prec@1 24.219 (24.013)	Prec@5 51.953 (51.229)
Epoch: [38][3130/7045]	Time 0.101 (0.249)	Data 0.043 (0.185)	Loss 3.5279 (3.3878)	Prec@1 16.797 (24.012)	Prec@5 47.656 (51.233)
Epoch: [38][3140/7045]	Time 0.202 (0.249)	Data 0.150 (0.185)	Loss 3.3196 (3.3876)	Prec@1 25.000 (24.014)	Prec@5 54.297 (51.237)
Epoch: [38][3150/7045]	Time 0.779 (0.249)	Data 0.723 (0.185)	Loss 3.5244 (3.3877)	Prec@1 21.094 (24.014)	Prec@5 50.000 (51.236)
Epoch: [38][3160/7045]	Time 0.178 (0.249)	Data 0.126 (0.185)	Loss 3.6052 (3.3876)	Prec@1 19.922 (24.016)	Prec@5 44.531 (51.234)
Epoch: [38][3170/7045]	Time 0.394 (0.249)	Data 0.343 (0.185)	Loss 3.3539 (3.3874)	Prec@1 25.781 (24.017)	Prec@5 52.344 (51.237)
Epoch: [38][3180/7045]	Time 0.556 (0.249)	Data 0.505 (0.185)	Loss 3.3051 (3.3874)	Prec@1 22.656 (24.016)	Prec@5 54.297 (51.240)
Epoch: [38][3190/7045]	Time 0.171 (0.249)	Data 0.119 (0.185)	Loss 3.4400 (3.3874)	Prec@1 23.828 (24.016)	Prec@5 50.000 (51.240)
Epoch: [38][3200/7045]	Time 0.413 (0.249)	Data 0.361 (0.185)	Loss 3.3258 (3.3875)	Prec@1 27.734 (24.016)	Prec@5 54.688 (51.240)
Epoch: [38][3210/7045]	Time 0.198 (0.249)	Data 0.146 (0.185)	Loss 3.4090 (3.3876)	Prec@1 21.484 (24.014)	Prec@5 51.172 (51.240)
Epoch: [38][3220/7045]	Time 0.493 (0.249)	Data 0.436 (0.185)	Loss 3.5138 (3.3875)	Prec@1 21.484 (24.015)	Prec@5 52.734 (51.247)
Epoch: [38][3230/7045]	Time 0.228 (0.249)	Data 0.169 (0.185)	Loss 3.1474 (3.3875)	Prec@1 27.734 (24.012)	Prec@5 56.641 (51.245)
Epoch: [38][3240/7045]	Time 0.388 (0.249)	Data 0.337 (0.185)	Loss 3.1696 (3.3875)	Prec@1 26.562 (24.009)	Prec@5 53.906 (51.245)
Epoch: [38][3250/7045]	Time 0.309 (0.249)	Data 0.258 (0.186)	Loss 3.3313 (3.3873)	Prec@1 26.172 (24.013)	Prec@5 50.391 (51.249)
Epoch: [38][3260/7045]	Time 0.247 (0.249)	Data 0.194 (0.186)	Loss 3.1819 (3.3869)	Prec@1 23.438 (24.018)	Prec@5 56.250 (51.256)
Epoch: [38][3270/7045]	Time 0.494 (0.249)	Data 0.443 (0.186)	Loss 3.5676 (3.3869)	Prec@1 23.047 (24.020)	Prec@5 47.656 (51.255)
Epoch: [38][3280/7045]	Time 0.101 (0.249)	Data 0.007 (0.186)	Loss 3.6009 (3.3870)	Prec@1 24.609 (24.022)	Prec@5 48.047 (51.254)
Epoch: [38][3290/7045]	Time 0.284 (0.249)	Data 0.233 (0.186)	Loss 3.0750 (3.3870)	Prec@1 30.859 (24.021)	Prec@5 60.547 (51.256)
Epoch: [38][3300/7045]	Time 0.244 (0.249)	Data 0.193 (0.186)	Loss 3.2094 (3.3868)	Prec@1 26.172 (24.022)	Prec@5 54.688 (51.259)
Epoch: [38][3310/7045]	Time 0.450 (0.249)	Data 0.398 (0.186)	Loss 3.2544 (3.3866)	Prec@1 24.219 (24.021)	Prec@5 54.297 (51.261)
Epoch: [38][3320/7045]	Time 0.102 (0.249)	Data 0.007 (0.186)	Loss 3.1774 (3.3865)	Prec@1 30.078 (24.023)	Prec@5 54.688 (51.264)
Epoch: [38][3330/7045]	Time 0.646 (0.249)	Data 0.594 (0.186)	Loss 3.6179 (3.3864)	Prec@1 25.391 (24.029)	Prec@5 50.391 (51.269)
Epoch: [38][3340/7045]	Time 0.108 (0.249)	Data 0.001 (0.186)	Loss 3.3266 (3.3864)	Prec@1 26.953 (24.032)	Prec@5 53.906 (51.268)
Epoch: [38][3350/7045]	Time 0.650 (0.249)	Data 0.597 (0.186)	Loss 3.1604 (3.3862)	Prec@1 26.562 (24.034)	Prec@5 56.250 (51.269)
Epoch: [38][3360/7045]	Time 0.129 (0.249)	Data 0.073 (0.186)	Loss 3.4344 (3.3860)	Prec@1 24.219 (24.034)	Prec@5 50.391 (51.277)
Epoch: [38][3370/7045]	Time 0.341 (0.249)	Data 0.289 (0.186)	Loss 3.5517 (3.3859)	Prec@1 22.266 (24.036)	Prec@5 50.000 (51.277)
Epoch: [38][3380/7045]	Time 0.102 (0.249)	Data 0.005 (0.186)	Loss 3.5548 (3.3861)	Prec@1 23.438 (24.035)	Prec@5 44.141 (51.273)
Epoch: [38][3390/7045]	Time 0.108 (0.249)	Data 0.004 (0.186)	Loss 3.5081 (3.3859)	Prec@1 23.047 (24.041)	Prec@5 49.219 (51.272)
Epoch: [38][3400/7045]	Time 0.107 (0.249)	Data 0.055 (0.186)	Loss 3.2881 (3.3856)	Prec@1 25.391 (24.046)	Prec@5 50.000 (51.280)
Epoch: [38][3410/7045]	Time 0.102 (0.249)	Data 0.013 (0.186)	Loss 3.1554 (3.3856)	Prec@1 22.656 (24.046)	Prec@5 57.422 (51.280)
Epoch: [38][3420/7045]	Time 0.190 (0.249)	Data 0.139 (0.186)	Loss 3.5444 (3.3855)	Prec@1 23.828 (24.046)	Prec@5 48.438 (51.284)
Epoch: [38][3430/7045]	Time 0.111 (0.249)	Data 0.060 (0.186)	Loss 3.3554 (3.3855)	Prec@1 24.219 (24.045)	Prec@5 50.781 (51.285)
Epoch: [38][3440/7045]	Time 0.446 (0.250)	Data 0.394 (0.186)	Loss 3.4478 (3.3856)	Prec@1 19.922 (24.045)	Prec@5 49.219 (51.281)
Epoch: [38][3450/7045]	Time 0.408 (0.250)	Data 0.356 (0.186)	Loss 3.3227 (3.3855)	Prec@1 21.875 (24.046)	Prec@5 53.906 (51.286)
Epoch: [38][3460/7045]	Time 0.182 (0.250)	Data 0.130 (0.186)	Loss 3.6042 (3.3854)	Prec@1 25.781 (24.047)	Prec@5 49.219 (51.288)
Epoch: [38][3470/7045]	Time 0.182 (0.250)	Data 0.131 (0.186)	Loss 3.4437 (3.3853)	Prec@1 20.703 (24.048)	Prec@5 50.000 (51.291)
Epoch: [38][3480/7045]	Time 0.250 (0.250)	Data 0.198 (0.186)	Loss 3.5149 (3.3853)	Prec@1 20.703 (24.047)	Prec@5 47.656 (51.287)
Epoch: [38][3490/7045]	Time 0.101 (0.250)	Data 0.001 (0.186)	Loss 3.3253 (3.3852)	Prec@1 23.828 (24.049)	Prec@5 50.781 (51.291)
Epoch: [38][3500/7045]	Time 0.534 (0.250)	Data 0.482 (0.186)	Loss 3.2557 (3.3852)	Prec@1 28.125 (24.051)	Prec@5 56.250 (51.290)
Epoch: [38][3510/7045]	Time 0.098 (0.250)	Data 0.001 (0.186)	Loss 3.4188 (3.3852)	Prec@1 22.656 (24.050)	Prec@5 50.000 (51.291)
Epoch: [38][3520/7045]	Time 0.660 (0.250)	Data 0.608 (0.186)	Loss 3.3957 (3.3853)	Prec@1 25.391 (24.050)	Prec@5 50.781 (51.293)
Epoch: [38][3530/7045]	Time 0.102 (0.250)	Data 0.001 (0.186)	Loss 3.5181 (3.3853)	Prec@1 22.656 (24.050)	Prec@5 48.438 (51.292)
Epoch: [38][3540/7045]	Time 0.388 (0.250)	Data 0.335 (0.186)	Loss 3.4362 (3.3854)	Prec@1 21.094 (24.053)	Prec@5 48.438 (51.290)
Epoch: [38][3550/7045]	Time 0.265 (0.250)	Data 0.213 (0.186)	Loss 3.3247 (3.3852)	Prec@1 24.609 (24.056)	Prec@5 54.688 (51.295)
Epoch: [38][3560/7045]	Time 0.287 (0.250)	Data 0.235 (0.186)	Loss 3.2628 (3.3851)	Prec@1 23.047 (24.056)	Prec@5 55.078 (51.298)
Epoch: [38][3570/7045]	Time 0.110 (0.250)	Data 0.058 (0.186)	Loss 3.4688 (3.3850)	Prec@1 23.828 (24.058)	Prec@5 51.562 (51.303)
Epoch: [38][3580/7045]	Time 0.102 (0.250)	Data 0.001 (0.186)	Loss 3.4807 (3.3849)	Prec@1 22.266 (24.062)	Prec@5 53.125 (51.302)
Epoch: [38][3590/7045]	Time 0.469 (0.250)	Data 0.418 (0.186)	Loss 3.4640 (3.3850)	Prec@1 23.047 (24.062)	Prec@5 50.000 (51.298)
Epoch: [38][3600/7045]	Time 0.102 (0.250)	Data 0.050 (0.186)	Loss 3.3688 (3.3849)	Prec@1 23.047 (24.061)	Prec@5 50.781 (51.301)
Epoch: [38][3610/7045]	Time 0.255 (0.250)	Data 0.203 (0.186)	Loss 3.3825 (3.3850)	Prec@1 21.875 (24.059)	Prec@5 50.781 (51.294)
Epoch: [38][3620/7045]	Time 0.107 (0.250)	Data 0.056 (0.186)	Loss 3.5148 (3.3849)	Prec@1 23.828 (24.061)	Prec@5 46.875 (51.295)
Epoch: [38][3630/7045]	Time 0.336 (0.250)	Data 0.285 (0.186)	Loss 3.3200 (3.3848)	Prec@1 24.219 (24.062)	Prec@5 54.297 (51.297)
Epoch: [38][3640/7045]	Time 0.101 (0.250)	Data 0.001 (0.186)	Loss 3.3756 (3.3845)	Prec@1 23.047 (24.066)	Prec@5 50.781 (51.304)
Epoch: [38][3650/7045]	Time 0.463 (0.250)	Data 0.410 (0.186)	Loss 3.3927 (3.3845)	Prec@1 22.266 (24.063)	Prec@5 48.438 (51.303)
Epoch: [38][3660/7045]	Time 0.145 (0.250)	Data 0.092 (0.186)	Loss 3.3002 (3.3846)	Prec@1 28.125 (24.064)	Prec@5 55.078 (51.305)
Epoch: [38][3670/7045]	Time 0.528 (0.250)	Data 0.476 (0.186)	Loss 3.3814 (3.3846)	Prec@1 23.828 (24.063)	Prec@5 52.344 (51.304)
Epoch: [38][3680/7045]	Time 0.109 (0.250)	Data 0.056 (0.186)	Loss 3.2198 (3.3845)	Prec@1 26.562 (24.063)	Prec@5 55.078 (51.306)
Epoch: [38][3690/7045]	Time 0.327 (0.250)	Data 0.275 (0.187)	Loss 3.2700 (3.3846)	Prec@1 26.953 (24.060)	Prec@5 54.297 (51.306)
Epoch: [38][3700/7045]	Time 0.102 (0.250)	Data 0.005 (0.187)	Loss 3.3424 (3.3845)	Prec@1 25.391 (24.065)	Prec@5 54.688 (51.307)
Epoch: [38][3710/7045]	Time 0.390 (0.250)	Data 0.330 (0.187)	Loss 3.4890 (3.3844)	Prec@1 24.219 (24.068)	Prec@5 52.344 (51.306)
Epoch: [38][3720/7045]	Time 0.101 (0.250)	Data 0.001 (0.186)	Loss 3.1949 (3.3844)	Prec@1 25.000 (24.068)	Prec@5 52.734 (51.303)
Epoch: [38][3730/7045]	Time 0.102 (0.250)	Data 0.002 (0.186)	Loss 3.4122 (3.3844)	Prec@1 21.484 (24.068)	Prec@5 50.391 (51.305)
Epoch: [38][3740/7045]	Time 0.446 (0.250)	Data 0.394 (0.187)	Loss 3.4865 (3.3840)	Prec@1 26.953 (24.073)	Prec@5 48.828 (51.313)
Epoch: [38][3750/7045]	Time 0.110 (0.250)	Data 0.001 (0.187)	Loss 3.5137 (3.3841)	Prec@1 24.609 (24.074)	Prec@5 49.219 (51.312)
Epoch: [38][3760/7045]	Time 0.133 (0.250)	Data 0.081 (0.187)	Loss 3.5100 (3.3841)	Prec@1 24.609 (24.076)	Prec@5 48.047 (51.309)
Epoch: [38][3770/7045]	Time 0.118 (0.250)	Data 0.060 (0.187)	Loss 3.2801 (3.3840)	Prec@1 24.609 (24.076)	Prec@5 51.953 (51.310)
Epoch: [38][3780/7045]	Time 0.237 (0.250)	Data 0.186 (0.187)	Loss 3.4085 (3.3839)	Prec@1 23.828 (24.080)	Prec@5 51.172 (51.314)
Epoch: [38][3790/7045]	Time 0.102 (0.250)	Data 0.004 (0.187)	Loss 3.0528 (3.3837)	Prec@1 27.344 (24.083)	Prec@5 58.984 (51.316)
Epoch: [38][3800/7045]	Time 0.256 (0.250)	Data 0.204 (0.187)	Loss 3.4659 (3.3838)	Prec@1 23.438 (24.081)	Prec@5 48.047 (51.316)
Epoch: [38][3810/7045]	Time 0.120 (0.250)	Data 0.069 (0.187)	Loss 3.4069 (3.3839)	Prec@1 21.094 (24.080)	Prec@5 50.781 (51.315)
Epoch: [38][3820/7045]	Time 0.290 (0.250)	Data 0.238 (0.187)	Loss 3.2379 (3.3839)	Prec@1 27.734 (24.079)	Prec@5 52.734 (51.313)
Epoch: [38][3830/7045]	Time 0.102 (0.250)	Data 0.007 (0.187)	Loss 3.4163 (3.3839)	Prec@1 25.000 (24.077)	Prec@5 53.906 (51.316)
Epoch: [38][3840/7045]	Time 0.224 (0.250)	Data 0.172 (0.187)	Loss 3.4989 (3.3840)	Prec@1 22.656 (24.075)	Prec@5 47.656 (51.313)
Epoch: [38][3850/7045]	Time 0.475 (0.250)	Data 0.423 (0.187)	Loss 3.1045 (3.3839)	Prec@1 25.000 (24.076)	Prec@5 55.078 (51.315)
Epoch: [38][3860/7045]	Time 0.101 (0.250)	Data 0.006 (0.187)	Loss 3.3697 (3.3838)	Prec@1 26.172 (24.079)	Prec@5 51.953 (51.317)
Epoch: [38][3870/7045]	Time 0.311 (0.250)	Data 0.259 (0.187)	Loss 3.4316 (3.3838)	Prec@1 26.562 (24.080)	Prec@5 52.734 (51.318)
Epoch: [38][3880/7045]	Time 0.309 (0.250)	Data 0.250 (0.187)	Loss 3.5379 (3.3838)	Prec@1 19.141 (24.079)	Prec@5 47.656 (51.319)
Epoch: [38][3890/7045]	Time 0.103 (0.250)	Data 0.001 (0.187)	Loss 3.3614 (3.3838)	Prec@1 26.953 (24.080)	Prec@5 51.953 (51.317)
Epoch: [38][3900/7045]	Time 0.205 (0.250)	Data 0.153 (0.187)	Loss 3.2079 (3.3839)	Prec@1 27.734 (24.081)	Prec@5 57.422 (51.316)
Epoch: [38][3910/7045]	Time 0.102 (0.250)	Data 0.006 (0.187)	Loss 3.5736 (3.3839)	Prec@1 20.312 (24.082)	Prec@5 44.141 (51.316)
Epoch: [38][3920/7045]	Time 0.173 (0.250)	Data 0.122 (0.187)	Loss 3.4649 (3.3839)	Prec@1 25.000 (24.084)	Prec@5 51.953 (51.315)
Epoch: [38][3930/7045]	Time 0.191 (0.250)	Data 0.139 (0.187)	Loss 3.3010 (3.3840)	Prec@1 20.703 (24.082)	Prec@5 55.859 (51.315)
Epoch: [38][3940/7045]	Time 0.110 (0.250)	Data 0.010 (0.187)	Loss 3.4192 (3.3839)	Prec@1 21.484 (24.081)	Prec@5 48.828 (51.316)
Epoch: [38][3950/7045]	Time 0.439 (0.250)	Data 0.389 (0.187)	Loss 3.4292 (3.3839)	Prec@1 22.656 (24.080)	Prec@5 49.219 (51.318)
Epoch: [38][3960/7045]	Time 0.202 (0.250)	Data 0.150 (0.187)	Loss 3.2062 (3.3838)	Prec@1 27.734 (24.083)	Prec@5 56.250 (51.320)
Epoch: [38][3970/7045]	Time 0.302 (0.250)	Data 0.251 (0.187)	Loss 3.3703 (3.3836)	Prec@1 25.391 (24.083)	Prec@5 50.391 (51.324)
Epoch: [38][3980/7045]	Time 0.348 (0.250)	Data 0.294 (0.187)	Loss 3.3951 (3.3838)	Prec@1 24.219 (24.082)	Prec@5 50.781 (51.321)
Epoch: [38][3990/7045]	Time 0.109 (0.250)	Data 0.051 (0.187)	Loss 3.3230 (3.3835)	Prec@1 21.875 (24.085)	Prec@5 54.297 (51.325)
Epoch: [38][4000/7045]	Time 0.350 (0.250)	Data 0.299 (0.187)	Loss 3.7012 (3.3836)	Prec@1 15.625 (24.084)	Prec@5 45.312 (51.322)
Epoch: [38][4010/7045]	Time 0.206 (0.250)	Data 0.154 (0.187)	Loss 3.4782 (3.3837)	Prec@1 20.312 (24.086)	Prec@5 49.219 (51.320)
Epoch: [38][4020/7045]	Time 0.715 (0.251)	Data 0.663 (0.187)	Loss 3.2740 (3.3839)	Prec@1 23.438 (24.083)	Prec@5 51.953 (51.316)
Epoch: [38][4030/7045]	Time 0.294 (0.251)	Data 0.242 (0.187)	Loss 3.2677 (3.3838)	Prec@1 28.516 (24.083)	Prec@5 53.516 (51.316)
Epoch: [38][4040/7045]	Time 0.641 (0.251)	Data 0.588 (0.187)	Loss 3.3506 (3.3839)	Prec@1 22.266 (24.081)	Prec@5 50.781 (51.314)
Epoch: [38][4050/7045]	Time 0.148 (0.251)	Data 0.097 (0.187)	Loss 3.3343 (3.3838)	Prec@1 29.297 (24.082)	Prec@5 52.734 (51.316)
Epoch: [38][4060/7045]	Time 0.304 (0.251)	Data 0.252 (0.187)	Loss 3.3530 (3.3838)	Prec@1 26.953 (24.086)	Prec@5 52.734 (51.316)
Epoch: [38][4070/7045]	Time 0.102 (0.251)	Data 0.002 (0.187)	Loss 3.2663 (3.3838)	Prec@1 25.781 (24.089)	Prec@5 54.688 (51.317)
Epoch: [38][4080/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 3.3195 (3.3839)	Prec@1 26.953 (24.086)	Prec@5 50.391 (51.315)
Epoch: [38][4090/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 3.2406 (3.3840)	Prec@1 26.562 (24.088)	Prec@5 51.562 (51.313)
Epoch: [38][4100/7045]	Time 0.261 (0.251)	Data 0.208 (0.187)	Loss 3.7606 (3.3840)	Prec@1 17.188 (24.086)	Prec@5 46.094 (51.310)
Epoch: [38][4110/7045]	Time 0.153 (0.251)	Data 0.100 (0.187)	Loss 3.6673 (3.3841)	Prec@1 22.266 (24.085)	Prec@5 46.875 (51.308)
Epoch: [38][4120/7045]	Time 0.340 (0.251)	Data 0.281 (0.187)	Loss 3.1225 (3.3840)	Prec@1 30.469 (24.086)	Prec@5 57.812 (51.308)
Epoch: [38][4130/7045]	Time 0.125 (0.251)	Data 0.074 (0.187)	Loss 3.2802 (3.3841)	Prec@1 22.656 (24.085)	Prec@5 54.688 (51.305)
Epoch: [38][4140/7045]	Time 0.394 (0.251)	Data 0.342 (0.187)	Loss 3.0986 (3.3842)	Prec@1 28.125 (24.083)	Prec@5 58.203 (51.306)
Epoch: [38][4150/7045]	Time 0.225 (0.251)	Data 0.173 (0.187)	Loss 3.3335 (3.3842)	Prec@1 24.219 (24.082)	Prec@5 50.391 (51.305)
Epoch: [38][4160/7045]	Time 0.402 (0.251)	Data 0.349 (0.187)	Loss 3.3500 (3.3842)	Prec@1 21.875 (24.083)	Prec@5 51.953 (51.306)
Epoch: [38][4170/7045]	Time 0.340 (0.251)	Data 0.287 (0.187)	Loss 3.3398 (3.3842)	Prec@1 21.875 (24.082)	Prec@5 51.953 (51.307)
Epoch: [38][4180/7045]	Time 0.260 (0.251)	Data 0.208 (0.187)	Loss 3.4336 (3.3842)	Prec@1 24.609 (24.081)	Prec@5 47.656 (51.304)
Epoch: [38][4190/7045]	Time 0.311 (0.251)	Data 0.260 (0.187)	Loss 3.5144 (3.3840)	Prec@1 23.438 (24.084)	Prec@5 53.125 (51.308)
Epoch: [38][4200/7045]	Time 0.226 (0.251)	Data 0.172 (0.187)	Loss 3.3418 (3.3840)	Prec@1 24.219 (24.086)	Prec@5 53.125 (51.312)
Epoch: [38][4210/7045]	Time 0.440 (0.251)	Data 0.388 (0.187)	Loss 3.3527 (3.3840)	Prec@1 23.047 (24.087)	Prec@5 49.219 (51.310)
Epoch: [38][4220/7045]	Time 0.107 (0.251)	Data 0.055 (0.187)	Loss 3.3291 (3.3839)	Prec@1 27.344 (24.091)	Prec@5 50.000 (51.311)
Epoch: [38][4230/7045]	Time 0.275 (0.251)	Data 0.222 (0.187)	Loss 3.5454 (3.3839)	Prec@1 21.484 (24.090)	Prec@5 50.391 (51.310)
Epoch: [38][4240/7045]	Time 0.209 (0.251)	Data 0.158 (0.187)	Loss 3.1986 (3.3837)	Prec@1 29.688 (24.094)	Prec@5 55.469 (51.313)
Epoch: [38][4250/7045]	Time 0.165 (0.251)	Data 0.112 (0.187)	Loss 3.4358 (3.3838)	Prec@1 21.875 (24.093)	Prec@5 47.266 (51.310)
Epoch: [38][4260/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.3269 (3.3839)	Prec@1 26.172 (24.090)	Prec@5 52.344 (51.309)
Epoch: [38][4270/7045]	Time 0.129 (0.251)	Data 0.077 (0.187)	Loss 3.1698 (3.3838)	Prec@1 27.734 (24.092)	Prec@5 53.516 (51.309)
Epoch: [38][4280/7045]	Time 0.263 (0.251)	Data 0.211 (0.187)	Loss 3.4023 (3.3838)	Prec@1 28.125 (24.094)	Prec@5 48.828 (51.310)
Epoch: [38][4290/7045]	Time 0.112 (0.251)	Data 0.060 (0.187)	Loss 3.3420 (3.3837)	Prec@1 26.953 (24.095)	Prec@5 56.641 (51.316)
Epoch: [38][4300/7045]	Time 0.103 (0.251)	Data 0.008 (0.187)	Loss 3.2471 (3.3836)	Prec@1 24.219 (24.098)	Prec@5 50.391 (51.319)
Epoch: [38][4310/7045]	Time 0.254 (0.251)	Data 0.204 (0.188)	Loss 3.1490 (3.3835)	Prec@1 28.125 (24.096)	Prec@5 56.250 (51.321)
Epoch: [38][4320/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 3.4016 (3.3835)	Prec@1 23.438 (24.096)	Prec@5 53.516 (51.323)
Epoch: [38][4330/7045]	Time 0.275 (0.251)	Data 0.224 (0.188)	Loss 3.4992 (3.3834)	Prec@1 17.969 (24.097)	Prec@5 50.391 (51.325)
Epoch: [38][4340/7045]	Time 0.098 (0.251)	Data 0.001 (0.188)	Loss 3.4517 (3.3834)	Prec@1 22.266 (24.096)	Prec@5 47.266 (51.323)
Epoch: [38][4350/7045]	Time 0.162 (0.251)	Data 0.111 (0.187)	Loss 3.2910 (3.3832)	Prec@1 24.219 (24.101)	Prec@5 56.250 (51.328)
Epoch: [38][4360/7045]	Time 0.147 (0.251)	Data 0.096 (0.187)	Loss 3.1726 (3.3831)	Prec@1 28.125 (24.106)	Prec@5 57.422 (51.333)
Epoch: [38][4370/7045]	Time 0.101 (0.251)	Data 0.007 (0.188)	Loss 3.3022 (3.3830)	Prec@1 23.828 (24.109)	Prec@5 53.516 (51.334)
Epoch: [38][4380/7045]	Time 0.424 (0.251)	Data 0.374 (0.188)	Loss 3.2963 (3.3829)	Prec@1 24.609 (24.109)	Prec@5 52.734 (51.332)
Epoch: [38][4390/7045]	Time 0.221 (0.251)	Data 0.169 (0.188)	Loss 3.4264 (3.3829)	Prec@1 24.219 (24.113)	Prec@5 50.391 (51.332)
Epoch: [38][4400/7045]	Time 0.640 (0.251)	Data 0.589 (0.188)	Loss 3.3849 (3.3828)	Prec@1 25.781 (24.116)	Prec@5 52.734 (51.336)
Epoch: [38][4410/7045]	Time 0.206 (0.251)	Data 0.153 (0.188)	Loss 3.4580 (3.3826)	Prec@1 23.438 (24.117)	Prec@5 48.438 (51.337)
Epoch: [38][4420/7045]	Time 0.481 (0.251)	Data 0.422 (0.188)	Loss 3.5532 (3.3825)	Prec@1 20.703 (24.119)	Prec@5 45.703 (51.338)
Epoch: [38][4430/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 3.2454 (3.3825)	Prec@1 24.219 (24.118)	Prec@5 55.078 (51.339)
Epoch: [38][4440/7045]	Time 0.351 (0.251)	Data 0.300 (0.188)	Loss 3.2781 (3.3825)	Prec@1 26.172 (24.118)	Prec@5 58.984 (51.342)
Epoch: [38][4450/7045]	Time 0.679 (0.251)	Data 0.622 (0.188)	Loss 3.4160 (3.3825)	Prec@1 22.266 (24.117)	Prec@5 51.562 (51.341)
Epoch: [38][4460/7045]	Time 0.259 (0.251)	Data 0.207 (0.188)	Loss 3.4383 (3.3827)	Prec@1 21.875 (24.111)	Prec@5 48.438 (51.336)
Epoch: [38][4470/7045]	Time 0.556 (0.251)	Data 0.504 (0.188)	Loss 3.2306 (3.3828)	Prec@1 25.781 (24.107)	Prec@5 51.562 (51.333)
Epoch: [38][4480/7045]	Time 0.258 (0.251)	Data 0.205 (0.188)	Loss 3.3932 (3.3827)	Prec@1 23.828 (24.110)	Prec@5 52.734 (51.337)
Epoch: [38][4490/7045]	Time 0.107 (0.251)	Data 0.003 (0.188)	Loss 3.2848 (3.3828)	Prec@1 30.469 (24.108)	Prec@5 53.125 (51.333)
Epoch: [38][4500/7045]	Time 0.326 (0.251)	Data 0.275 (0.188)	Loss 3.3556 (3.3828)	Prec@1 25.391 (24.107)	Prec@5 52.344 (51.333)
Epoch: [38][4510/7045]	Time 0.511 (0.251)	Data 0.460 (0.188)	Loss 3.5873 (3.3828)	Prec@1 20.312 (24.107)	Prec@5 48.828 (51.335)
Epoch: [38][4520/7045]	Time 0.102 (0.251)	Data 0.006 (0.188)	Loss 3.3705 (3.3827)	Prec@1 23.047 (24.106)	Prec@5 50.000 (51.332)
Epoch: [38][4530/7045]	Time 0.471 (0.251)	Data 0.419 (0.188)	Loss 3.2186 (3.3827)	Prec@1 26.172 (24.107)	Prec@5 57.031 (51.334)
Epoch: [38][4540/7045]	Time 0.241 (0.251)	Data 0.182 (0.188)	Loss 3.2836 (3.3825)	Prec@1 23.047 (24.106)	Prec@5 51.172 (51.338)
Epoch: [38][4550/7045]	Time 0.483 (0.251)	Data 0.431 (0.188)	Loss 3.1529 (3.3823)	Prec@1 27.344 (24.111)	Prec@5 57.031 (51.345)
Epoch: [38][4560/7045]	Time 0.112 (0.251)	Data 0.060 (0.188)	Loss 3.1234 (3.3823)	Prec@1 29.297 (24.109)	Prec@5 55.859 (51.344)
Epoch: [38][4570/7045]	Time 0.468 (0.251)	Data 0.416 (0.188)	Loss 3.3006 (3.3821)	Prec@1 27.734 (24.111)	Prec@5 51.953 (51.349)
Epoch: [38][4580/7045]	Time 0.124 (0.251)	Data 0.064 (0.188)	Loss 3.4645 (3.3821)	Prec@1 25.000 (24.110)	Prec@5 49.609 (51.348)
Epoch: [38][4590/7045]	Time 0.654 (0.251)	Data 0.602 (0.188)	Loss 3.1636 (3.3820)	Prec@1 24.609 (24.111)	Prec@5 51.953 (51.350)
Epoch: [38][4600/7045]	Time 0.099 (0.251)	Data 0.003 (0.188)	Loss 3.4603 (3.3820)	Prec@1 24.219 (24.113)	Prec@5 51.562 (51.350)
Epoch: [38][4610/7045]	Time 0.477 (0.251)	Data 0.424 (0.188)	Loss 3.6827 (3.3820)	Prec@1 18.359 (24.112)	Prec@5 44.531 (51.347)
Epoch: [38][4620/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 3.5213 (3.3820)	Prec@1 21.484 (24.112)	Prec@5 47.656 (51.347)
Epoch: [38][4630/7045]	Time 0.101 (0.251)	Data 0.001 (0.188)	Loss 3.5890 (3.3820)	Prec@1 20.312 (24.115)	Prec@5 47.266 (51.350)
Epoch: [38][4640/7045]	Time 0.102 (0.251)	Data 0.007 (0.188)	Loss 3.4668 (3.3820)	Prec@1 25.781 (24.115)	Prec@5 47.266 (51.351)
Epoch: [38][4650/7045]	Time 0.182 (0.251)	Data 0.130 (0.188)	Loss 3.5753 (3.3820)	Prec@1 23.438 (24.116)	Prec@5 43.750 (51.349)
Epoch: [38][4660/7045]	Time 0.180 (0.251)	Data 0.130 (0.188)	Loss 3.5087 (3.3820)	Prec@1 23.047 (24.114)	Prec@5 47.266 (51.348)
Epoch: [38][4670/7045]	Time 0.102 (0.251)	Data 0.004 (0.188)	Loss 3.3755 (3.3821)	Prec@1 25.391 (24.110)	Prec@5 50.781 (51.346)
Epoch: [38][4680/7045]	Time 0.122 (0.251)	Data 0.070 (0.188)	Loss 3.5352 (3.3822)	Prec@1 26.562 (24.111)	Prec@5 47.266 (51.346)
Epoch: [38][4690/7045]	Time 0.177 (0.251)	Data 0.125 (0.188)	Loss 3.3957 (3.3823)	Prec@1 19.922 (24.111)	Prec@5 51.953 (51.343)
Epoch: [38][4700/7045]	Time 0.196 (0.251)	Data 0.144 (0.188)	Loss 3.3812 (3.3823)	Prec@1 23.438 (24.109)	Prec@5 52.734 (51.344)
Epoch: [38][4710/7045]	Time 0.477 (0.251)	Data 0.427 (0.188)	Loss 3.4076 (3.3823)	Prec@1 25.391 (24.108)	Prec@5 49.609 (51.346)
Epoch: [38][4720/7045]	Time 0.145 (0.251)	Data 0.093 (0.188)	Loss 3.4124 (3.3824)	Prec@1 24.609 (24.106)	Prec@5 50.391 (51.344)
Epoch: [38][4730/7045]	Time 0.637 (0.252)	Data 0.588 (0.188)	Loss 3.6087 (3.3825)	Prec@1 21.094 (24.106)	Prec@5 45.312 (51.343)
Epoch: [38][4740/7045]	Time 0.104 (0.252)	Data 0.052 (0.188)	Loss 3.4294 (3.3823)	Prec@1 25.781 (24.108)	Prec@5 54.297 (51.343)
Epoch: [38][4750/7045]	Time 0.670 (0.252)	Data 0.618 (0.188)	Loss 3.2074 (3.3824)	Prec@1 24.609 (24.111)	Prec@5 53.516 (51.344)
Epoch: [38][4760/7045]	Time 0.108 (0.252)	Data 0.056 (0.188)	Loss 3.5739 (3.3824)	Prec@1 22.656 (24.110)	Prec@5 48.828 (51.345)
Epoch: [38][4770/7045]	Time 0.109 (0.252)	Data 0.004 (0.188)	Loss 3.3619 (3.3825)	Prec@1 23.828 (24.109)	Prec@5 51.172 (51.343)
Epoch: [38][4780/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 3.3996 (3.3823)	Prec@1 23.047 (24.113)	Prec@5 51.562 (51.346)
Epoch: [38][4790/7045]	Time 0.110 (0.252)	Data 0.056 (0.188)	Loss 3.4352 (3.3823)	Prec@1 23.828 (24.112)	Prec@5 51.172 (51.345)
Epoch: [38][4800/7045]	Time 0.111 (0.252)	Data 0.060 (0.188)	Loss 3.5331 (3.3823)	Prec@1 18.359 (24.111)	Prec@5 48.828 (51.346)
Epoch: [38][4810/7045]	Time 0.188 (0.252)	Data 0.136 (0.188)	Loss 3.1584 (3.3823)	Prec@1 23.438 (24.110)	Prec@5 53.906 (51.346)
Epoch: [38][4820/7045]	Time 0.105 (0.252)	Data 0.052 (0.188)	Loss 3.3683 (3.3822)	Prec@1 26.172 (24.115)	Prec@5 50.391 (51.348)
Epoch: [38][4830/7045]	Time 0.133 (0.252)	Data 0.082 (0.188)	Loss 3.3826 (3.3822)	Prec@1 25.781 (24.115)	Prec@5 52.344 (51.348)
Epoch: [38][4840/7045]	Time 0.101 (0.252)	Data 0.006 (0.188)	Loss 3.3658 (3.3821)	Prec@1 26.562 (24.118)	Prec@5 51.562 (51.348)
Epoch: [38][4850/7045]	Time 0.316 (0.252)	Data 0.263 (0.188)	Loss 3.4673 (3.3823)	Prec@1 22.656 (24.115)	Prec@5 50.781 (51.344)
Epoch: [38][4860/7045]	Time 0.236 (0.252)	Data 0.184 (0.188)	Loss 3.1524 (3.3821)	Prec@1 23.438 (24.116)	Prec@5 55.859 (51.348)
Epoch: [38][4870/7045]	Time 0.369 (0.252)	Data 0.317 (0.188)	Loss 3.2834 (3.3820)	Prec@1 26.562 (24.117)	Prec@5 51.953 (51.350)
Epoch: [38][4880/7045]	Time 0.302 (0.252)	Data 0.250 (0.188)	Loss 3.0909 (3.3818)	Prec@1 26.172 (24.117)	Prec@5 52.344 (51.353)
Epoch: [38][4890/7045]	Time 0.278 (0.252)	Data 0.226 (0.188)	Loss 3.3116 (3.3816)	Prec@1 25.391 (24.117)	Prec@5 55.078 (51.359)
Epoch: [38][4900/7045]	Time 0.163 (0.252)	Data 0.110 (0.188)	Loss 3.3959 (3.3817)	Prec@1 23.438 (24.118)	Prec@5 50.781 (51.358)
Epoch: [38][4910/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 3.2355 (3.3817)	Prec@1 26.953 (24.120)	Prec@5 53.516 (51.359)
Epoch: [38][4920/7045]	Time 0.205 (0.252)	Data 0.154 (0.188)	Loss 3.2914 (3.3817)	Prec@1 25.391 (24.119)	Prec@5 50.781 (51.362)
Epoch: [38][4930/7045]	Time 0.300 (0.252)	Data 0.248 (0.188)	Loss 3.2697 (3.3815)	Prec@1 25.000 (24.121)	Prec@5 49.609 (51.365)
Epoch: [38][4940/7045]	Time 0.233 (0.252)	Data 0.182 (0.188)	Loss 3.2987 (3.3813)	Prec@1 25.781 (24.123)	Prec@5 49.609 (51.368)
Epoch: [38][4950/7045]	Time 0.102 (0.252)	Data 0.007 (0.188)	Loss 3.4275 (3.3814)	Prec@1 25.781 (24.121)	Prec@5 53.516 (51.369)
Epoch: [38][4960/7045]	Time 0.522 (0.252)	Data 0.470 (0.188)	Loss 3.1043 (3.3814)	Prec@1 27.344 (24.122)	Prec@5 59.766 (51.372)
Epoch: [38][4970/7045]	Time 0.277 (0.252)	Data 0.226 (0.188)	Loss 3.2917 (3.3812)	Prec@1 24.609 (24.124)	Prec@5 52.344 (51.374)
Epoch: [38][4980/7045]	Time 0.109 (0.252)	Data 0.057 (0.188)	Loss 3.3453 (3.3812)	Prec@1 23.438 (24.125)	Prec@5 50.781 (51.376)
Epoch: [38][4990/7045]	Time 0.245 (0.252)	Data 0.194 (0.188)	Loss 3.4239 (3.3812)	Prec@1 25.000 (24.125)	Prec@5 51.953 (51.376)
Epoch: [38][5000/7045]	Time 0.313 (0.252)	Data 0.253 (0.188)	Loss 3.4709 (3.3811)	Prec@1 23.828 (24.128)	Prec@5 49.219 (51.376)
Epoch: [38][5010/7045]	Time 0.102 (0.252)	Data 0.008 (0.188)	Loss 3.3261 (3.3811)	Prec@1 23.828 (24.129)	Prec@5 50.781 (51.376)
Epoch: [38][5020/7045]	Time 0.172 (0.252)	Data 0.120 (0.188)	Loss 3.2692 (3.3810)	Prec@1 27.734 (24.129)	Prec@5 55.469 (51.379)
Epoch: [38][5030/7045]	Time 0.102 (0.252)	Data 0.006 (0.188)	Loss 3.2519 (3.3810)	Prec@1 29.688 (24.129)	Prec@5 49.219 (51.378)
Epoch: [38][5040/7045]	Time 0.113 (0.252)	Data 0.061 (0.188)	Loss 3.3430 (3.3810)	Prec@1 28.125 (24.132)	Prec@5 57.031 (51.381)
Epoch: [38][5050/7045]	Time 0.270 (0.252)	Data 0.218 (0.188)	Loss 3.5482 (3.3809)	Prec@1 22.656 (24.136)	Prec@5 50.000 (51.383)
Epoch: [38][5060/7045]	Time 0.513 (0.252)	Data 0.461 (0.189)	Loss 3.3176 (3.3809)	Prec@1 28.125 (24.138)	Prec@5 49.609 (51.384)
Epoch: [38][5070/7045]	Time 0.134 (0.252)	Data 0.082 (0.189)	Loss 3.4840 (3.3809)	Prec@1 25.391 (24.137)	Prec@5 47.266 (51.382)
Epoch: [38][5080/7045]	Time 0.208 (0.252)	Data 0.157 (0.189)	Loss 3.3191 (3.3809)	Prec@1 28.906 (24.139)	Prec@5 54.688 (51.383)
Epoch: [38][5090/7045]	Time 0.247 (0.252)	Data 0.197 (0.189)	Loss 3.2306 (3.3808)	Prec@1 25.781 (24.143)	Prec@5 55.469 (51.385)
Epoch: [38][5100/7045]	Time 0.105 (0.252)	Data 0.053 (0.189)	Loss 3.3632 (3.3808)	Prec@1 27.734 (24.144)	Prec@5 55.469 (51.385)
Epoch: [38][5110/7045]	Time 0.292 (0.252)	Data 0.240 (0.189)	Loss 3.4168 (3.3808)	Prec@1 20.703 (24.143)	Prec@5 50.000 (51.385)
Epoch: [38][5120/7045]	Time 0.137 (0.252)	Data 0.086 (0.189)	Loss 3.6710 (3.3808)	Prec@1 18.750 (24.145)	Prec@5 44.531 (51.386)
Epoch: [38][5130/7045]	Time 0.113 (0.252)	Data 0.061 (0.189)	Loss 3.3290 (3.3808)	Prec@1 23.828 (24.146)	Prec@5 52.344 (51.388)
Epoch: [38][5140/7045]	Time 0.403 (0.252)	Data 0.350 (0.189)	Loss 3.3509 (3.3808)	Prec@1 25.000 (24.146)	Prec@5 52.344 (51.390)
Epoch: [38][5150/7045]	Time 0.185 (0.252)	Data 0.133 (0.189)	Loss 3.4148 (3.3808)	Prec@1 25.000 (24.149)	Prec@5 53.516 (51.389)
Epoch: [38][5160/7045]	Time 0.403 (0.252)	Data 0.351 (0.189)	Loss 3.2646 (3.3805)	Prec@1 25.781 (24.153)	Prec@5 53.125 (51.395)
Epoch: [38][5170/7045]	Time 0.149 (0.252)	Data 0.098 (0.189)	Loss 3.2600 (3.3805)	Prec@1 27.734 (24.154)	Prec@5 55.859 (51.396)
Epoch: [38][5180/7045]	Time 0.376 (0.252)	Data 0.326 (0.189)	Loss 3.4469 (3.3805)	Prec@1 26.562 (24.154)	Prec@5 51.172 (51.396)
Epoch: [38][5190/7045]	Time 0.109 (0.252)	Data 0.001 (0.189)	Loss 3.4371 (3.3805)	Prec@1 17.969 (24.152)	Prec@5 46.094 (51.395)
Epoch: [38][5200/7045]	Time 0.230 (0.252)	Data 0.179 (0.189)	Loss 3.3648 (3.3806)	Prec@1 27.734 (24.153)	Prec@5 50.391 (51.394)
Epoch: [38][5210/7045]	Time 0.407 (0.252)	Data 0.349 (0.189)	Loss 3.3262 (3.3806)	Prec@1 20.312 (24.152)	Prec@5 50.391 (51.394)
Epoch: [38][5220/7045]	Time 0.102 (0.252)	Data 0.001 (0.189)	Loss 3.3992 (3.3805)	Prec@1 22.656 (24.151)	Prec@5 50.781 (51.395)
Epoch: [38][5230/7045]	Time 0.270 (0.252)	Data 0.219 (0.189)	Loss 3.3189 (3.3805)	Prec@1 23.047 (24.152)	Prec@5 48.828 (51.394)
Epoch: [38][5240/7045]	Time 0.102 (0.252)	Data 0.004 (0.189)	Loss 3.3468 (3.3805)	Prec@1 20.703 (24.150)	Prec@5 50.391 (51.390)
Epoch: [38][5250/7045]	Time 0.154 (0.252)	Data 0.103 (0.189)	Loss 3.4572 (3.3806)	Prec@1 24.609 (24.153)	Prec@5 53.906 (51.391)
Epoch: [38][5260/7045]	Time 0.101 (0.252)	Data 0.001 (0.189)	Loss 3.1766 (3.3805)	Prec@1 29.297 (24.153)	Prec@5 53.516 (51.390)
Epoch: [38][5270/7045]	Time 0.503 (0.252)	Data 0.452 (0.189)	Loss 3.2257 (3.3805)	Prec@1 26.953 (24.154)	Prec@5 54.688 (51.391)
Epoch: [38][5280/7045]	Time 0.192 (0.252)	Data 0.142 (0.189)	Loss 3.5368 (3.3805)	Prec@1 19.141 (24.151)	Prec@5 48.047 (51.389)
Epoch: [38][5290/7045]	Time 0.259 (0.252)	Data 0.208 (0.189)	Loss 3.4067 (3.3804)	Prec@1 26.172 (24.154)	Prec@5 53.516 (51.392)
Epoch: [38][5300/7045]	Time 0.101 (0.252)	Data 0.046 (0.189)	Loss 3.4592 (3.3805)	Prec@1 21.094 (24.152)	Prec@5 50.781 (51.391)
Epoch: [38][5310/7045]	Time 0.178 (0.252)	Data 0.125 (0.189)	Loss 3.2957 (3.3804)	Prec@1 28.125 (24.155)	Prec@5 57.422 (51.395)
Epoch: [38][5320/7045]	Time 0.101 (0.252)	Data 0.003 (0.189)	Loss 3.3634 (3.3802)	Prec@1 23.828 (24.156)	Prec@5 51.562 (51.400)
Epoch: [38][5330/7045]	Time 0.221 (0.252)	Data 0.169 (0.189)	Loss 3.5375 (3.3802)	Prec@1 19.531 (24.158)	Prec@5 45.703 (51.397)
Epoch: [38][5340/7045]	Time 0.191 (0.252)	Data 0.139 (0.189)	Loss 3.5228 (3.3803)	Prec@1 21.484 (24.158)	Prec@5 51.172 (51.397)
Epoch: [38][5350/7045]	Time 0.185 (0.252)	Data 0.134 (0.189)	Loss 3.3788 (3.3803)	Prec@1 21.875 (24.158)	Prec@5 50.000 (51.396)
Epoch: [38][5360/7045]	Time 0.164 (0.252)	Data 0.112 (0.189)	Loss 3.2677 (3.3802)	Prec@1 25.000 (24.157)	Prec@5 52.734 (51.396)
Epoch: [38][5370/7045]	Time 0.109 (0.252)	Data 0.056 (0.189)	Loss 3.5314 (3.3801)	Prec@1 23.438 (24.161)	Prec@5 51.562 (51.400)
Epoch: [38][5380/7045]	Time 0.108 (0.252)	Data 0.001 (0.189)	Loss 3.4667 (3.3803)	Prec@1 23.047 (24.159)	Prec@5 48.828 (51.397)
Epoch: [38][5390/7045]	Time 0.140 (0.252)	Data 0.088 (0.189)	Loss 3.3902 (3.3802)	Prec@1 25.000 (24.158)	Prec@5 48.438 (51.397)
Epoch: [38][5400/7045]	Time 0.110 (0.252)	Data 0.057 (0.189)	Loss 3.1832 (3.3800)	Prec@1 26.172 (24.160)	Prec@5 53.125 (51.401)
Epoch: [38][5410/7045]	Time 0.252 (0.252)	Data 0.200 (0.189)	Loss 3.2558 (3.3800)	Prec@1 27.344 (24.164)	Prec@5 54.688 (51.401)
Epoch: [38][5420/7045]	Time 0.101 (0.252)	Data 0.001 (0.189)	Loss 3.4812 (3.3799)	Prec@1 25.000 (24.167)	Prec@5 49.219 (51.403)
Epoch: [38][5430/7045]	Time 0.236 (0.252)	Data 0.185 (0.189)	Loss 3.2627 (3.3798)	Prec@1 28.906 (24.169)	Prec@5 54.688 (51.407)
Epoch: [38][5440/7045]	Time 0.242 (0.252)	Data 0.191 (0.189)	Loss 3.4603 (3.3797)	Prec@1 23.438 (24.170)	Prec@5 48.828 (51.410)
Epoch: [38][5450/7045]	Time 0.381 (0.252)	Data 0.329 (0.189)	Loss 3.4866 (3.3796)	Prec@1 19.922 (24.173)	Prec@5 51.172 (51.412)
Epoch: [38][5460/7045]	Time 0.473 (0.252)	Data 0.414 (0.189)	Loss 3.3540 (3.3796)	Prec@1 22.266 (24.173)	Prec@5 50.391 (51.413)
Epoch: [38][5470/7045]	Time 0.263 (0.252)	Data 0.210 (0.189)	Loss 3.3726 (3.3795)	Prec@1 26.172 (24.175)	Prec@5 51.172 (51.414)
Epoch: [38][5480/7045]	Time 0.540 (0.252)	Data 0.489 (0.189)	Loss 3.4040 (3.3796)	Prec@1 27.734 (24.175)	Prec@5 49.609 (51.413)
Epoch: [38][5490/7045]	Time 0.227 (0.252)	Data 0.175 (0.189)	Loss 3.5340 (3.3795)	Prec@1 22.266 (24.174)	Prec@5 45.703 (51.415)
Epoch: [38][5500/7045]	Time 0.219 (0.252)	Data 0.167 (0.189)	Loss 3.3189 (3.3795)	Prec@1 24.219 (24.173)	Prec@5 52.734 (51.415)
Epoch: [38][5510/7045]	Time 0.306 (0.252)	Data 0.255 (0.189)	Loss 3.4883 (3.3795)	Prec@1 25.391 (24.174)	Prec@5 48.047 (51.413)
Epoch: [38][5520/7045]	Time 0.130 (0.252)	Data 0.079 (0.189)	Loss 3.3841 (3.3795)	Prec@1 21.484 (24.173)	Prec@5 50.781 (51.413)
Epoch: [38][5530/7045]	Time 0.537 (0.252)	Data 0.476 (0.189)	Loss 3.2761 (3.3794)	Prec@1 25.000 (24.175)	Prec@5 51.172 (51.413)
Epoch: [38][5540/7045]	Time 0.170 (0.252)	Data 0.118 (0.189)	Loss 3.3782 (3.3793)	Prec@1 28.906 (24.178)	Prec@5 53.906 (51.416)
Epoch: [38][5550/7045]	Time 0.732 (0.252)	Data 0.680 (0.189)	Loss 3.3499 (3.3794)	Prec@1 25.000 (24.179)	Prec@5 50.000 (51.416)
Epoch: [38][5560/7045]	Time 0.101 (0.252)	Data 0.001 (0.189)	Loss 3.2168 (3.3793)	Prec@1 22.656 (24.177)	Prec@5 51.953 (51.414)
Epoch: [38][5570/7045]	Time 0.579 (0.252)	Data 0.527 (0.189)	Loss 3.3809 (3.3794)	Prec@1 24.219 (24.176)	Prec@5 48.828 (51.412)
Epoch: [38][5580/7045]	Time 0.142 (0.252)	Data 0.090 (0.189)	Loss 3.4659 (3.3793)	Prec@1 23.438 (24.177)	Prec@5 48.828 (51.412)
Epoch: [38][5590/7045]	Time 0.430 (0.252)	Data 0.376 (0.189)	Loss 3.4179 (3.3792)	Prec@1 21.875 (24.179)	Prec@5 51.172 (51.416)
Epoch: [38][5600/7045]	Time 0.222 (0.252)	Data 0.170 (0.189)	Loss 3.4081 (3.3791)	Prec@1 25.391 (24.178)	Prec@5 52.344 (51.418)
Epoch: [38][5610/7045]	Time 0.102 (0.252)	Data 0.005 (0.189)	Loss 3.4103 (3.3791)	Prec@1 19.531 (24.178)	Prec@5 50.781 (51.420)
Epoch: [38][5620/7045]	Time 0.102 (0.252)	Data 0.007 (0.189)	Loss 3.3109 (3.3791)	Prec@1 24.609 (24.177)	Prec@5 51.953 (51.419)
Epoch: [38][5630/7045]	Time 0.170 (0.252)	Data 0.119 (0.189)	Loss 3.2926 (3.3790)	Prec@1 27.734 (24.180)	Prec@5 53.516 (51.420)
Epoch: [38][5640/7045]	Time 0.210 (0.252)	Data 0.159 (0.189)	Loss 3.2779 (3.3790)	Prec@1 23.438 (24.179)	Prec@5 53.125 (51.420)
Epoch: [38][5650/7045]	Time 0.227 (0.253)	Data 0.175 (0.189)	Loss 3.3944 (3.3790)	Prec@1 17.969 (24.175)	Prec@5 51.172 (51.419)
Epoch: [38][5660/7045]	Time 0.102 (0.252)	Data 0.001 (0.189)	Loss 3.2601 (3.3790)	Prec@1 27.344 (24.178)	Prec@5 55.469 (51.418)
Epoch: [38][5670/7045]	Time 0.203 (0.253)	Data 0.152 (0.189)	Loss 3.4027 (3.3789)	Prec@1 25.781 (24.180)	Prec@5 51.172 (51.422)
Epoch: [38][5680/7045]	Time 0.101 (0.253)	Data 0.001 (0.189)	Loss 3.3352 (3.3788)	Prec@1 25.781 (24.182)	Prec@5 53.125 (51.423)
Epoch: [38][5690/7045]	Time 0.304 (0.253)	Data 0.253 (0.189)	Loss 3.1633 (3.3787)	Prec@1 28.906 (24.184)	Prec@5 55.859 (51.425)
Epoch: [38][5700/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 3.5268 (3.3787)	Prec@1 18.359 (24.181)	Prec@5 49.219 (51.426)
Epoch: [38][5710/7045]	Time 0.721 (0.253)	Data 0.670 (0.189)	Loss 3.3190 (3.3786)	Prec@1 24.609 (24.185)	Prec@5 53.516 (51.428)
Epoch: [38][5720/7045]	Time 0.099 (0.253)	Data 0.001 (0.189)	Loss 3.3068 (3.3787)	Prec@1 26.172 (24.184)	Prec@5 50.000 (51.427)
Epoch: [38][5730/7045]	Time 0.591 (0.253)	Data 0.540 (0.189)	Loss 3.2855 (3.3787)	Prec@1 23.047 (24.182)	Prec@5 49.219 (51.426)
Epoch: [38][5740/7045]	Time 0.196 (0.253)	Data 0.144 (0.189)	Loss 3.3631 (3.3786)	Prec@1 26.172 (24.184)	Prec@5 52.734 (51.430)
Epoch: [38][5750/7045]	Time 0.336 (0.253)	Data 0.285 (0.189)	Loss 3.3792 (3.3785)	Prec@1 24.219 (24.184)	Prec@5 51.953 (51.430)
Epoch: [38][5760/7045]	Time 0.112 (0.253)	Data 0.061 (0.189)	Loss 3.1534 (3.3786)	Prec@1 27.734 (24.183)	Prec@5 56.641 (51.428)
Epoch: [38][5770/7045]	Time 0.250 (0.253)	Data 0.200 (0.189)	Loss 3.3884 (3.3786)	Prec@1 20.312 (24.181)	Prec@5 50.000 (51.429)
Epoch: [38][5780/7045]	Time 0.286 (0.253)	Data 0.234 (0.189)	Loss 3.3364 (3.3786)	Prec@1 21.875 (24.182)	Prec@5 48.438 (51.430)
Epoch: [38][5790/7045]	Time 0.110 (0.253)	Data 0.058 (0.189)	Loss 3.3888 (3.3787)	Prec@1 21.484 (24.178)	Prec@5 51.953 (51.427)
Epoch: [38][5800/7045]	Time 0.395 (0.253)	Data 0.343 (0.190)	Loss 3.1534 (3.3785)	Prec@1 29.297 (24.179)	Prec@5 53.125 (51.428)
Epoch: [38][5810/7045]	Time 0.336 (0.253)	Data 0.285 (0.190)	Loss 3.4277 (3.3785)	Prec@1 25.781 (24.181)	Prec@5 46.094 (51.426)
Epoch: [38][5820/7045]	Time 0.198 (0.253)	Data 0.148 (0.190)	Loss 3.5399 (3.3786)	Prec@1 18.750 (24.178)	Prec@5 46.875 (51.425)
Epoch: [38][5830/7045]	Time 0.304 (0.253)	Data 0.251 (0.190)	Loss 3.2944 (3.3785)	Prec@1 26.953 (24.180)	Prec@5 51.172 (51.426)
Epoch: [38][5840/7045]	Time 0.310 (0.253)	Data 0.258 (0.190)	Loss 3.4169 (3.3786)	Prec@1 21.484 (24.180)	Prec@5 52.344 (51.427)
Epoch: [38][5850/7045]	Time 0.163 (0.253)	Data 0.112 (0.190)	Loss 3.4010 (3.3786)	Prec@1 21.484 (24.180)	Prec@5 48.047 (51.427)
Epoch: [38][5860/7045]	Time 0.289 (0.253)	Data 0.239 (0.190)	Loss 3.4771 (3.3786)	Prec@1 23.047 (24.181)	Prec@5 50.781 (51.426)
Epoch: [38][5870/7045]	Time 0.452 (0.253)	Data 0.401 (0.190)	Loss 3.3007 (3.3786)	Prec@1 26.953 (24.181)	Prec@5 53.125 (51.427)
Epoch: [38][5880/7045]	Time 0.162 (0.253)	Data 0.111 (0.190)	Loss 3.3155 (3.3785)	Prec@1 23.047 (24.183)	Prec@5 50.391 (51.429)
Epoch: [38][5890/7045]	Time 0.139 (0.253)	Data 0.088 (0.190)	Loss 3.5491 (3.3785)	Prec@1 24.219 (24.184)	Prec@5 48.438 (51.431)
Epoch: [38][5900/7045]	Time 0.112 (0.253)	Data 0.062 (0.190)	Loss 3.2981 (3.3785)	Prec@1 28.516 (24.185)	Prec@5 53.125 (51.431)
Epoch: [38][5910/7045]	Time 0.415 (0.253)	Data 0.364 (0.190)	Loss 3.4726 (3.3784)	Prec@1 23.438 (24.184)	Prec@5 51.953 (51.431)
Epoch: [38][5920/7045]	Time 0.112 (0.253)	Data 0.060 (0.190)	Loss 3.2837 (3.3785)	Prec@1 25.000 (24.183)	Prec@5 53.906 (51.430)
Epoch: [38][5930/7045]	Time 0.218 (0.253)	Data 0.167 (0.190)	Loss 3.3597 (3.3784)	Prec@1 26.172 (24.185)	Prec@5 52.344 (51.429)
Epoch: [38][5940/7045]	Time 0.308 (0.253)	Data 0.256 (0.190)	Loss 3.1799 (3.3784)	Prec@1 25.391 (24.185)	Prec@5 53.125 (51.432)
Epoch: [38][5950/7045]	Time 0.139 (0.253)	Data 0.088 (0.190)	Loss 3.5314 (3.3784)	Prec@1 23.438 (24.184)	Prec@5 46.484 (51.430)
Epoch: [38][5960/7045]	Time 0.270 (0.253)	Data 0.220 (0.190)	Loss 3.3573 (3.3782)	Prec@1 24.609 (24.187)	Prec@5 53.516 (51.435)
Epoch: [38][5970/7045]	Time 0.390 (0.253)	Data 0.339 (0.190)	Loss 3.2440 (3.3782)	Prec@1 23.828 (24.189)	Prec@5 51.562 (51.435)
Epoch: [38][5980/7045]	Time 0.101 (0.253)	Data 0.001 (0.190)	Loss 3.3913 (3.3782)	Prec@1 27.734 (24.188)	Prec@5 52.344 (51.436)
Epoch: [38][5990/7045]	Time 0.117 (0.253)	Data 0.065 (0.190)	Loss 3.4391 (3.3781)	Prec@1 21.484 (24.188)	Prec@5 49.219 (51.436)
Epoch: [38][6000/7045]	Time 0.207 (0.253)	Data 0.155 (0.190)	Loss 3.3482 (3.3781)	Prec@1 26.172 (24.189)	Prec@5 52.344 (51.436)
Epoch: [38][6010/7045]	Time 0.428 (0.253)	Data 0.377 (0.190)	Loss 3.2848 (3.3781)	Prec@1 24.219 (24.190)	Prec@5 57.031 (51.436)
Epoch: [38][6020/7045]	Time 0.112 (0.253)	Data 0.060 (0.190)	Loss 3.2466 (3.3782)	Prec@1 23.438 (24.187)	Prec@5 52.344 (51.433)
Epoch: [38][6030/7045]	Time 0.762 (0.253)	Data 0.709 (0.190)	Loss 3.1884 (3.3780)	Prec@1 30.469 (24.190)	Prec@5 57.031 (51.436)
Epoch: [38][6040/7045]	Time 0.101 (0.253)	Data 0.001 (0.190)	Loss 3.3615 (3.3780)	Prec@1 23.047 (24.189)	Prec@5 51.562 (51.435)
Epoch: [38][6050/7045]	Time 0.616 (0.253)	Data 0.564 (0.190)	Loss 3.1856 (3.3779)	Prec@1 28.125 (24.193)	Prec@5 54.297 (51.437)
Epoch: [38][6060/7045]	Time 0.408 (0.253)	Data 0.356 (0.190)	Loss 3.3523 (3.3779)	Prec@1 25.000 (24.193)	Prec@5 49.609 (51.437)
Epoch: [38][6070/7045]	Time 0.177 (0.253)	Data 0.125 (0.190)	Loss 3.4701 (3.3778)	Prec@1 26.562 (24.197)	Prec@5 52.344 (51.438)
Epoch: [38][6080/7045]	Time 0.577 (0.253)	Data 0.527 (0.190)	Loss 3.4008 (3.3778)	Prec@1 26.172 (24.196)	Prec@5 48.828 (51.439)
Epoch: [38][6090/7045]	Time 0.348 (0.253)	Data 0.288 (0.190)	Loss 3.4223 (3.3778)	Prec@1 19.922 (24.194)	Prec@5 51.953 (51.439)
Epoch: [38][6100/7045]	Time 0.259 (0.253)	Data 0.208 (0.190)	Loss 3.4064 (3.3777)	Prec@1 27.734 (24.196)	Prec@5 51.562 (51.440)
Epoch: [38][6110/7045]	Time 0.170 (0.253)	Data 0.119 (0.190)	Loss 3.3361 (3.3776)	Prec@1 26.172 (24.198)	Prec@5 51.562 (51.442)
Epoch: [38][6120/7045]	Time 0.330 (0.253)	Data 0.278 (0.190)	Loss 3.4028 (3.3777)	Prec@1 25.000 (24.197)	Prec@5 51.953 (51.440)
Epoch: [38][6130/7045]	Time 0.117 (0.253)	Data 0.065 (0.190)	Loss 3.2866 (3.3776)	Prec@1 25.781 (24.198)	Prec@5 51.172 (51.441)
Epoch: [38][6140/7045]	Time 0.562 (0.253)	Data 0.511 (0.190)	Loss 3.3752 (3.3775)	Prec@1 22.656 (24.198)	Prec@5 51.562 (51.443)
Epoch: [38][6150/7045]	Time 0.118 (0.253)	Data 0.066 (0.190)	Loss 3.6946 (3.3775)	Prec@1 21.484 (24.198)	Prec@5 44.531 (51.445)
Epoch: [38][6160/7045]	Time 0.690 (0.253)	Data 0.639 (0.190)	Loss 3.4676 (3.3775)	Prec@1 20.312 (24.197)	Prec@5 48.047 (51.442)
Epoch: [38][6170/7045]	Time 0.101 (0.253)	Data 0.007 (0.190)	Loss 3.3081 (3.3775)	Prec@1 22.656 (24.198)	Prec@5 55.859 (51.444)
Epoch: [38][6180/7045]	Time 0.520 (0.253)	Data 0.470 (0.190)	Loss 3.4117 (3.3775)	Prec@1 24.219 (24.199)	Prec@5 51.562 (51.444)
Epoch: [38][6190/7045]	Time 0.101 (0.253)	Data 0.007 (0.190)	Loss 3.3904 (3.3774)	Prec@1 25.391 (24.201)	Prec@5 47.656 (51.445)
Epoch: [38][6200/7045]	Time 0.314 (0.253)	Data 0.262 (0.190)	Loss 3.4696 (3.3774)	Prec@1 22.656 (24.201)	Prec@5 47.266 (51.444)
Epoch: [38][6210/7045]	Time 0.167 (0.253)	Data 0.116 (0.190)	Loss 3.2917 (3.3775)	Prec@1 25.781 (24.200)	Prec@5 51.562 (51.443)
Epoch: [38][6220/7045]	Time 0.311 (0.253)	Data 0.260 (0.190)	Loss 3.7014 (3.3775)	Prec@1 20.703 (24.201)	Prec@5 42.969 (51.442)
Epoch: [38][6230/7045]	Time 0.190 (0.253)	Data 0.139 (0.190)	Loss 3.2027 (3.3774)	Prec@1 26.562 (24.203)	Prec@5 54.688 (51.446)
Epoch: [38][6240/7045]	Time 0.212 (0.253)	Data 0.161 (0.190)	Loss 3.2427 (3.3774)	Prec@1 25.000 (24.202)	Prec@5 50.000 (51.446)
Epoch: [38][6250/7045]	Time 0.100 (0.253)	Data 0.001 (0.190)	Loss 3.4584 (3.3775)	Prec@1 22.266 (24.201)	Prec@5 54.297 (51.444)
Epoch: [38][6260/7045]	Time 0.126 (0.253)	Data 0.076 (0.190)	Loss 3.3326 (3.3774)	Prec@1 24.219 (24.202)	Prec@5 50.391 (51.444)
Epoch: [38][6270/7045]	Time 0.110 (0.253)	Data 0.009 (0.190)	Loss 3.1451 (3.3774)	Prec@1 27.734 (24.203)	Prec@5 57.422 (51.446)
Epoch: [38][6280/7045]	Time 0.668 (0.253)	Data 0.610 (0.190)	Loss 3.1789 (3.3773)	Prec@1 24.219 (24.206)	Prec@5 55.859 (51.448)
Epoch: [38][6290/7045]	Time 0.112 (0.253)	Data 0.001 (0.190)	Loss 3.4020 (3.3772)	Prec@1 23.828 (24.208)	Prec@5 53.906 (51.451)
Epoch: [38][6300/7045]	Time 0.568 (0.253)	Data 0.517 (0.190)	Loss 3.5674 (3.3773)	Prec@1 24.609 (24.206)	Prec@5 43.750 (51.448)
Epoch: [38][6310/7045]	Time 0.246 (0.253)	Data 0.194 (0.190)	Loss 3.2732 (3.3772)	Prec@1 25.391 (24.205)	Prec@5 55.078 (51.450)
Epoch: [38][6320/7045]	Time 0.337 (0.253)	Data 0.285 (0.190)	Loss 3.2854 (3.3771)	Prec@1 21.094 (24.206)	Prec@5 49.219 (51.451)
Epoch: [38][6330/7045]	Time 0.102 (0.253)	Data 0.001 (0.190)	Loss 3.4424 (3.3770)	Prec@1 21.875 (24.206)	Prec@5 52.734 (51.453)
Epoch: [38][6340/7045]	Time 0.102 (0.253)	Data 0.006 (0.190)	Loss 3.4000 (3.3769)	Prec@1 25.781 (24.208)	Prec@5 52.344 (51.455)
Epoch: [38][6350/7045]	Time 0.101 (0.253)	Data 0.005 (0.190)	Loss 3.1398 (3.3769)	Prec@1 29.688 (24.209)	Prec@5 53.516 (51.456)
Epoch: [38][6360/7045]	Time 0.102 (0.253)	Data 0.001 (0.190)	Loss 3.3187 (3.3770)	Prec@1 21.875 (24.208)	Prec@5 53.906 (51.456)
Epoch: [38][6370/7045]	Time 0.523 (0.253)	Data 0.471 (0.190)	Loss 3.3860 (3.3769)	Prec@1 25.000 (24.209)	Prec@5 53.125 (51.455)
Epoch: [38][6380/7045]	Time 0.183 (0.253)	Data 0.131 (0.190)	Loss 3.3304 (3.3769)	Prec@1 23.828 (24.212)	Prec@5 52.344 (51.455)
Epoch: [38][6390/7045]	Time 0.301 (0.253)	Data 0.249 (0.190)	Loss 3.2285 (3.3769)	Prec@1 25.781 (24.210)	Prec@5 55.469 (51.454)
Epoch: [38][6400/7045]	Time 0.101 (0.253)	Data 0.001 (0.190)	Loss 3.0905 (3.3768)	Prec@1 27.344 (24.212)	Prec@5 57.422 (51.456)
Epoch: [38][6410/7045]	Time 0.590 (0.253)	Data 0.538 (0.190)	Loss 3.3505 (3.3767)	Prec@1 27.734 (24.214)	Prec@5 52.734 (51.459)
Epoch: [38][6420/7045]	Time 0.102 (0.253)	Data 0.001 (0.190)	Loss 3.2839 (3.3767)	Prec@1 28.906 (24.215)	Prec@5 53.906 (51.458)
Epoch: [38][6430/7045]	Time 0.376 (0.253)	Data 0.324 (0.190)	Loss 3.4176 (3.3767)	Prec@1 23.828 (24.215)	Prec@5 46.875 (51.457)
Epoch: [38][6440/7045]	Time 0.336 (0.253)	Data 0.285 (0.190)	Loss 3.3512 (3.3766)	Prec@1 26.562 (24.216)	Prec@5 53.906 (51.459)
Epoch: [38][6450/7045]	Time 0.151 (0.253)	Data 0.099 (0.190)	Loss 3.3430 (3.3766)	Prec@1 26.562 (24.216)	Prec@5 52.344 (51.457)
Epoch: [38][6460/7045]	Time 0.480 (0.253)	Data 0.428 (0.190)	Loss 3.3111 (3.3766)	Prec@1 25.391 (24.218)	Prec@5 51.562 (51.455)
Epoch: [38][6470/7045]	Time 0.116 (0.253)	Data 0.062 (0.190)	Loss 3.0617 (3.3766)	Prec@1 32.422 (24.219)	Prec@5 57.031 (51.458)
Epoch: [38][6480/7045]	Time 0.496 (0.253)	Data 0.445 (0.190)	Loss 3.3635 (3.3765)	Prec@1 25.391 (24.222)	Prec@5 51.562 (51.459)
Epoch: [38][6490/7045]	Time 0.109 (0.253)	Data 0.001 (0.190)	Loss 3.5082 (3.3765)	Prec@1 22.266 (24.222)	Prec@5 51.562 (51.459)
Epoch: [38][6500/7045]	Time 0.102 (0.253)	Data 0.001 (0.190)	Loss 3.3819 (3.3765)	Prec@1 23.828 (24.222)	Prec@5 51.172 (51.458)
Epoch: [38][6510/7045]	Time 0.429 (0.253)	Data 0.371 (0.190)	Loss 3.1912 (3.3765)	Prec@1 25.391 (24.221)	Prec@5 55.469 (51.459)
Epoch: [38][6520/7045]	Time 0.108 (0.253)	Data 0.055 (0.190)	Loss 3.4543 (3.3765)	Prec@1 22.656 (24.219)	Prec@5 47.656 (51.458)
Epoch: [38][6530/7045]	Time 0.109 (0.253)	Data 0.057 (0.190)	Loss 3.0739 (3.3765)	Prec@1 29.297 (24.220)	Prec@5 60.938 (51.458)
Epoch: [38][6540/7045]	Time 0.172 (0.253)	Data 0.121 (0.190)	Loss 3.3143 (3.3765)	Prec@1 25.000 (24.221)	Prec@5 53.125 (51.459)
Epoch: [38][6550/7045]	Time 0.237 (0.253)	Data 0.186 (0.190)	Loss 3.2880 (3.3764)	Prec@1 26.172 (24.224)	Prec@5 51.562 (51.461)
Epoch: [38][6560/7045]	Time 0.100 (0.253)	Data 0.014 (0.190)	Loss 3.2920 (3.3765)	Prec@1 23.438 (24.222)	Prec@5 55.078 (51.459)
Epoch: [38][6570/7045]	Time 0.101 (0.253)	Data 0.044 (0.190)	Loss 3.3610 (3.3765)	Prec@1 26.562 (24.223)	Prec@5 53.906 (51.460)
Epoch: [38][6580/7045]	Time 0.101 (0.253)	Data 0.001 (0.190)	Loss 3.3518 (3.3764)	Prec@1 24.609 (24.223)	Prec@5 55.078 (51.461)
Epoch: [38][6590/7045]	Time 0.110 (0.253)	Data 0.007 (0.190)	Loss 3.4069 (3.3764)	Prec@1 25.391 (24.224)	Prec@5 48.828 (51.462)
Epoch: [38][6600/7045]	Time 0.101 (0.253)	Data 0.006 (0.190)	Loss 3.3219 (3.3763)	Prec@1 22.656 (24.222)	Prec@5 50.781 (51.463)
Epoch: [38][6610/7045]	Time 0.306 (0.253)	Data 0.254 (0.190)	Loss 3.5843 (3.3764)	Prec@1 22.656 (24.223)	Prec@5 50.781 (51.464)
Epoch: [38][6620/7045]	Time 0.284 (0.253)	Data 0.232 (0.190)	Loss 3.5060 (3.3763)	Prec@1 21.484 (24.225)	Prec@5 48.047 (51.464)
Epoch: [38][6630/7045]	Time 0.235 (0.253)	Data 0.184 (0.190)	Loss 3.3476 (3.3762)	Prec@1 25.781 (24.226)	Prec@5 50.391 (51.465)
Epoch: [38][6640/7045]	Time 0.308 (0.253)	Data 0.256 (0.190)	Loss 3.2781 (3.3763)	Prec@1 24.219 (24.223)	Prec@5 55.078 (51.464)
Epoch: [38][6650/7045]	Time 0.149 (0.253)	Data 0.098 (0.190)	Loss 3.3640 (3.3763)	Prec@1 25.781 (24.222)	Prec@5 53.516 (51.463)
Epoch: [38][6660/7045]	Time 0.473 (0.253)	Data 0.416 (0.190)	Loss 3.1996 (3.3764)	Prec@1 28.125 (24.222)	Prec@5 55.859 (51.462)
Epoch: [38][6670/7045]	Time 0.101 (0.253)	Data 0.048 (0.190)	Loss 3.2054 (3.3764)	Prec@1 25.000 (24.220)	Prec@5 51.562 (51.463)
Epoch: [38][6680/7045]	Time 0.107 (0.253)	Data 0.054 (0.190)	Loss 3.3887 (3.3764)	Prec@1 25.000 (24.221)	Prec@5 49.609 (51.461)
Epoch: [38][6690/7045]	Time 0.100 (0.253)	Data 0.006 (0.190)	Loss 3.3991 (3.3763)	Prec@1 19.141 (24.221)	Prec@5 49.219 (51.463)
Epoch: [38][6700/7045]	Time 0.339 (0.253)	Data 0.288 (0.190)	Loss 3.5547 (3.3763)	Prec@1 25.000 (24.223)	Prec@5 46.875 (51.464)
Epoch: [38][6710/7045]	Time 0.324 (0.253)	Data 0.272 (0.190)	Loss 3.4294 (3.3763)	Prec@1 23.828 (24.224)	Prec@5 48.438 (51.462)
Epoch: [38][6720/7045]	Time 0.102 (0.253)	Data 0.046 (0.190)	Loss 3.3212 (3.3763)	Prec@1 23.047 (24.223)	Prec@5 55.469 (51.461)
Epoch: [38][6730/7045]	Time 0.102 (0.253)	Data 0.004 (0.190)	Loss 3.3716 (3.3763)	Prec@1 23.438 (24.222)	Prec@5 48.438 (51.461)
Epoch: [38][6740/7045]	Time 0.288 (0.253)	Data 0.237 (0.190)	Loss 3.3323 (3.3763)	Prec@1 23.438 (24.222)	Prec@5 51.953 (51.461)
Epoch: [38][6750/7045]	Time 0.185 (0.253)	Data 0.133 (0.190)	Loss 3.3108 (3.3762)	Prec@1 26.562 (24.223)	Prec@5 52.344 (51.465)
Epoch: [38][6760/7045]	Time 0.623 (0.253)	Data 0.572 (0.190)	Loss 3.6165 (3.3763)	Prec@1 23.438 (24.222)	Prec@5 46.094 (51.464)
Epoch: [38][6770/7045]	Time 0.101 (0.253)	Data 0.048 (0.190)	Loss 3.4629 (3.3763)	Prec@1 25.000 (24.221)	Prec@5 48.438 (51.464)
Epoch: [38][6780/7045]	Time 0.322 (0.253)	Data 0.270 (0.190)	Loss 3.4901 (3.3763)	Prec@1 23.828 (24.220)	Prec@5 50.000 (51.462)
Epoch: [38][6790/7045]	Time 0.535 (0.253)	Data 0.484 (0.190)	Loss 3.1538 (3.3763)	Prec@1 29.688 (24.221)	Prec@5 59.375 (51.463)
Epoch: [38][6800/7045]	Time 0.138 (0.253)	Data 0.086 (0.190)	Loss 3.5385 (3.3762)	Prec@1 22.656 (24.221)	Prec@5 48.047 (51.463)
Epoch: [38][6810/7045]	Time 0.523 (0.253)	Data 0.471 (0.190)	Loss 3.1388 (3.3761)	Prec@1 26.172 (24.220)	Prec@5 58.594 (51.464)
Epoch: [38][6820/7045]	Time 0.101 (0.253)	Data 0.001 (0.190)	Loss 3.1764 (3.3760)	Prec@1 28.125 (24.221)	Prec@5 56.641 (51.465)
Epoch: [38][6830/7045]	Time 0.528 (0.253)	Data 0.477 (0.190)	Loss 3.3744 (3.3760)	Prec@1 25.000 (24.222)	Prec@5 54.297 (51.465)
Epoch: [38][6840/7045]	Time 0.258 (0.253)	Data 0.206 (0.190)	Loss 3.6489 (3.3760)	Prec@1 17.578 (24.220)	Prec@5 45.312 (51.463)
Epoch: [38][6850/7045]	Time 0.290 (0.253)	Data 0.238 (0.190)	Loss 3.3649 (3.3760)	Prec@1 23.047 (24.219)	Prec@5 52.344 (51.462)
Epoch: [38][6860/7045]	Time 0.246 (0.253)	Data 0.195 (0.190)	Loss 3.3818 (3.3759)	Prec@1 23.047 (24.221)	Prec@5 54.297 (51.465)
Epoch: [38][6870/7045]	Time 0.400 (0.253)	Data 0.350 (0.191)	Loss 3.5426 (3.3760)	Prec@1 26.562 (24.222)	Prec@5 50.000 (51.463)
Epoch: [38][6880/7045]	Time 0.101 (0.253)	Data 0.001 (0.191)	Loss 3.0559 (3.3758)	Prec@1 28.516 (24.224)	Prec@5 55.078 (51.466)
Epoch: [38][6890/7045]	Time 0.102 (0.253)	Data 0.007 (0.191)	Loss 3.3801 (3.3760)	Prec@1 23.438 (24.222)	Prec@5 48.438 (51.464)
Epoch: [38][6900/7045]	Time 0.129 (0.254)	Data 0.078 (0.191)	Loss 3.4697 (3.3760)	Prec@1 25.000 (24.222)	Prec@5 52.734 (51.463)
Epoch: [38][6910/7045]	Time 0.101 (0.253)	Data 0.007 (0.190)	Loss 3.6065 (3.3760)	Prec@1 23.047 (24.223)	Prec@5 47.266 (51.463)
Epoch: [38][6920/7045]	Time 0.161 (0.254)	Data 0.109 (0.191)	Loss 3.4254 (3.3760)	Prec@1 24.219 (24.222)	Prec@5 50.781 (51.461)
Epoch: [38][6930/7045]	Time 0.102 (0.253)	Data 0.001 (0.191)	Loss 3.1750 (3.3761)	Prec@1 29.297 (24.220)	Prec@5 53.516 (51.462)
Epoch: [38][6940/7045]	Time 0.478 (0.254)	Data 0.418 (0.191)	Loss 3.5935 (3.3762)	Prec@1 22.656 (24.217)	Prec@5 45.312 (51.458)
Epoch: [38][6950/7045]	Time 0.262 (0.254)	Data 0.211 (0.191)	Loss 3.2874 (3.3763)	Prec@1 24.609 (24.218)	Prec@5 53.516 (51.458)
Epoch: [38][6960/7045]	Time 0.353 (0.254)	Data 0.300 (0.191)	Loss 3.3564 (3.3762)	Prec@1 25.391 (24.220)	Prec@5 52.734 (51.460)
Epoch: [38][6970/7045]	Time 0.100 (0.253)	Data 0.005 (0.191)	Loss 3.3773 (3.3761)	Prec@1 24.609 (24.221)	Prec@5 50.391 (51.463)
Epoch: [38][6980/7045]	Time 0.256 (0.254)	Data 0.205 (0.191)	Loss 3.3725 (3.3760)	Prec@1 21.094 (24.220)	Prec@5 51.172 (51.464)
Epoch: [38][6990/7045]	Time 0.112 (0.253)	Data 0.062 (0.191)	Loss 3.2551 (3.3760)	Prec@1 24.219 (24.223)	Prec@5 56.250 (51.466)
Epoch: [38][7000/7045]	Time 0.106 (0.254)	Data 0.053 (0.191)	Loss 3.1873 (3.3759)	Prec@1 25.391 (24.224)	Prec@5 54.688 (51.467)
Epoch: [38][7010/7045]	Time 0.311 (0.254)	Data 0.260 (0.191)	Loss 3.2844 (3.3758)	Prec@1 25.391 (24.227)	Prec@5 52.734 (51.467)
Epoch: [38][7020/7045]	Time 0.141 (0.254)	Data 0.088 (0.191)	Loss 3.2361 (3.3757)	Prec@1 28.125 (24.228)	Prec@5 54.688 (51.469)
Epoch: [38][7030/7045]	Time 0.643 (0.254)	Data 0.591 (0.191)	Loss 3.3129 (3.3758)	Prec@1 23.828 (24.226)	Prec@5 54.688 (51.467)
Epoch: [38][7040/7045]	Time 0.108 (0.254)	Data 0.007 (0.191)	Loss 3.2081 (3.3758)	Prec@1 26.562 (24.225)	Prec@5 51.953 (51.466)
Test: [0/143]	Time 1.235 (1.235)	Loss 2.9392 (2.9392)	Prec@1 30.859 (30.859)	Prec@5 60.547 (60.547)
Test: [10/143]	Time 0.067 (0.244)	Loss 2.7294 (2.7485)	Prec@1 33.984 (35.724)	Prec@5 71.875 (66.584)
Test: [20/143]	Time 0.146 (0.220)	Loss 2.9704 (2.7671)	Prec@1 29.688 (33.259)	Prec@5 60.938 (65.755)
Test: [30/143]	Time 0.048 (0.217)	Loss 3.1866 (2.7625)	Prec@1 28.516 (34.400)	Prec@5 53.906 (65.184)
Test: [40/143]	Time 0.160 (0.207)	Loss 3.3157 (2.7987)	Prec@1 16.016 (33.880)	Prec@5 47.656 (63.891)
Test: [50/143]	Time 0.126 (0.201)	Loss 2.4841 (2.8346)	Prec@1 32.422 (32.207)	Prec@5 72.266 (63.028)
Test: [60/143]	Time 0.064 (0.198)	Loss 3.2344 (2.8115)	Prec@1 19.531 (32.691)	Prec@5 58.984 (63.633)
Test: [70/143]	Time 0.048 (0.195)	Loss 3.3659 (2.8039)	Prec@1 23.438 (33.137)	Prec@5 50.391 (63.743)
Test: [80/143]	Time 0.356 (0.197)	Loss 3.0508 (2.8037)	Prec@1 28.125 (33.314)	Prec@5 60.938 (63.947)
Test: [90/143]	Time 0.061 (0.194)	Loss 2.3162 (2.7946)	Prec@1 45.703 (33.491)	Prec@5 74.609 (64.161)
Test: [100/143]	Time 0.402 (0.195)	Loss 2.5654 (2.7934)	Prec@1 36.328 (33.408)	Prec@5 74.219 (64.283)
Test: [110/143]	Time 0.119 (0.193)	Loss 2.3882 (2.7812)	Prec@1 42.578 (33.858)	Prec@5 72.656 (64.559)
Test: [120/143]	Time 0.149 (0.192)	Loss 2.5200 (2.7706)	Prec@1 44.922 (34.220)	Prec@5 73.828 (64.744)
Test: [130/143]	Time 0.057 (0.192)	Loss 2.4482 (2.7867)	Prec@1 48.828 (33.969)	Prec@5 69.141 (64.280)
Test: [140/143]	Time 0.047 (0.190)	Loss 3.7152 (2.8093)	Prec@1 17.969 (33.536)	Prec@5 40.625 (63.672)
 * Prec@1 33.567 Prec@5 63.677
Epoch: [39][0/7045]	Time 2.354 (2.354)	Data 2.295 (2.295)	Loss 3.4537 (3.4537)	Prec@1 25.781 (25.781)	Prec@5 49.219 (49.219)
Epoch: [39][10/7045]	Time 0.205 (0.410)	Data 0.153 (0.330)	Loss 3.5412 (3.3176)	Prec@1 23.047 (25.923)	Prec@5 50.000 (52.166)
Epoch: [39][20/7045]	Time 0.355 (0.339)	Data 0.302 (0.270)	Loss 3.2855 (3.3041)	Prec@1 26.562 (25.465)	Prec@5 56.641 (53.069)
Epoch: [39][30/7045]	Time 0.400 (0.316)	Data 0.348 (0.251)	Loss 3.3182 (3.3338)	Prec@1 25.391 (24.950)	Prec@5 52.344 (52.092)
Epoch: [39][40/7045]	Time 0.186 (0.298)	Data 0.136 (0.233)	Loss 3.1015 (3.3164)	Prec@1 27.344 (25.048)	Prec@5 53.906 (52.210)
Epoch: [39][50/7045]	Time 0.220 (0.293)	Data 0.168 (0.229)	Loss 3.3232 (3.3156)	Prec@1 24.609 (25.169)	Prec@5 50.781 (52.520)
Epoch: [39][60/7045]	Time 0.113 (0.284)	Data 0.062 (0.221)	Loss 3.4741 (3.3200)	Prec@1 21.094 (25.077)	Prec@5 49.609 (52.350)
Epoch: [39][70/7045]	Time 0.121 (0.279)	Data 0.068 (0.217)	Loss 3.2477 (3.3144)	Prec@1 24.609 (25.198)	Prec@5 55.859 (52.509)
Epoch: [39][80/7045]	Time 0.101 (0.276)	Data 0.001 (0.214)	Loss 3.3174 (3.3269)	Prec@1 24.609 (25.019)	Prec@5 51.172 (52.185)
Epoch: [39][90/7045]	Time 0.349 (0.276)	Data 0.298 (0.214)	Loss 3.3708 (3.3335)	Prec@1 23.828 (24.974)	Prec@5 52.734 (52.125)
Epoch: [39][100/7045]	Time 0.103 (0.271)	Data 0.051 (0.209)	Loss 3.1349 (3.3294)	Prec@1 27.344 (25.012)	Prec@5 55.078 (52.220)
Epoch: [39][110/7045]	Time 0.472 (0.272)	Data 0.421 (0.210)	Loss 3.2150 (3.3249)	Prec@1 26.953 (25.102)	Prec@5 56.641 (52.305)
Epoch: [39][120/7045]	Time 0.261 (0.271)	Data 0.209 (0.209)	Loss 3.2746 (3.3252)	Prec@1 26.172 (25.068)	Prec@5 55.469 (52.318)
Epoch: [39][130/7045]	Time 0.180 (0.268)	Data 0.128 (0.206)	Loss 3.1418 (3.3255)	Prec@1 30.859 (25.081)	Prec@5 54.688 (52.257)
Epoch: [39][140/7045]	Time 0.101 (0.266)	Data 0.007 (0.204)	Loss 3.5481 (3.3352)	Prec@1 23.438 (24.939)	Prec@5 47.656 (52.072)
Epoch: [39][150/7045]	Time 0.276 (0.267)	Data 0.216 (0.204)	Loss 3.1836 (3.3369)	Prec@1 28.125 (24.930)	Prec@5 55.469 (51.982)
Epoch: [39][160/7045]	Time 0.101 (0.265)	Data 0.001 (0.202)	Loss 3.1954 (3.3382)	Prec@1 20.312 (24.876)	Prec@5 55.078 (52.004)
Epoch: [39][170/7045]	Time 0.514 (0.265)	Data 0.462 (0.202)	Loss 3.3579 (3.3386)	Prec@1 27.734 (24.874)	Prec@5 54.688 (51.949)
Epoch: [39][180/7045]	Time 0.109 (0.264)	Data 0.057 (0.201)	Loss 3.3347 (3.3418)	Prec@1 21.875 (24.834)	Prec@5 53.516 (51.901)
Epoch: [39][190/7045]	Time 0.604 (0.265)	Data 0.553 (0.201)	Loss 3.3333 (3.3402)	Prec@1 26.172 (24.863)	Prec@5 54.297 (51.922)
Epoch: [39][200/7045]	Time 0.101 (0.263)	Data 0.001 (0.198)	Loss 3.6204 (3.3399)	Prec@1 19.531 (24.889)	Prec@5 44.141 (51.938)
Epoch: [39][210/7045]	Time 0.586 (0.263)	Data 0.535 (0.197)	Loss 3.1018 (3.3380)	Prec@1 25.781 (24.906)	Prec@5 57.031 (51.999)
Epoch: [39][220/7045]	Time 0.178 (0.262)	Data 0.127 (0.196)	Loss 3.3527 (3.3400)	Prec@1 21.484 (24.841)	Prec@5 53.125 (51.960)
Epoch: [39][230/7045]	Time 0.350 (0.261)	Data 0.299 (0.196)	Loss 3.4602 (3.3406)	Prec@1 19.922 (24.838)	Prec@5 46.484 (51.943)
Epoch: [39][240/7045]	Time 0.107 (0.262)	Data 0.001 (0.197)	Loss 3.4388 (3.3397)	Prec@1 21.484 (24.853)	Prec@5 48.047 (52.003)
Epoch: [39][250/7045]	Time 0.101 (0.261)	Data 0.001 (0.196)	Loss 3.2910 (3.3397)	Prec@1 25.391 (24.840)	Prec@5 52.734 (52.009)
Epoch: [39][260/7045]	Time 0.290 (0.261)	Data 0.231 (0.196)	Loss 3.4321 (3.3419)	Prec@1 24.219 (24.771)	Prec@5 51.953 (51.967)
Epoch: [39][270/7045]	Time 0.681 (0.261)	Data 0.630 (0.197)	Loss 3.4000 (3.3419)	Prec@1 22.656 (24.777)	Prec@5 49.219 (51.929)
Epoch: [39][280/7045]	Time 0.101 (0.260)	Data 0.001 (0.195)	Loss 3.3693 (3.3433)	Prec@1 24.219 (24.773)	Prec@5 50.000 (51.916)
Epoch: [39][290/7045]	Time 0.229 (0.260)	Data 0.178 (0.196)	Loss 3.1754 (3.3425)	Prec@1 29.688 (24.816)	Prec@5 57.812 (51.953)
Epoch: [39][300/7045]	Time 0.111 (0.260)	Data 0.058 (0.196)	Loss 3.4111 (3.3411)	Prec@1 21.875 (24.839)	Prec@5 51.562 (51.984)
Epoch: [39][310/7045]	Time 0.716 (0.261)	Data 0.664 (0.197)	Loss 3.2309 (3.3402)	Prec@1 26.172 (24.844)	Prec@5 52.734 (52.002)
Epoch: [39][320/7045]	Time 0.157 (0.261)	Data 0.105 (0.196)	Loss 3.3062 (3.3410)	Prec@1 23.828 (24.791)	Prec@5 50.781 (51.982)
Epoch: [39][330/7045]	Time 0.371 (0.260)	Data 0.320 (0.196)	Loss 3.2791 (3.3412)	Prec@1 25.391 (24.796)	Prec@5 52.344 (51.984)
Epoch: [39][340/7045]	Time 0.442 (0.261)	Data 0.390 (0.197)	Loss 3.2804 (3.3403)	Prec@1 25.781 (24.827)	Prec@5 55.469 (52.005)
Epoch: [39][350/7045]	Time 0.334 (0.260)	Data 0.282 (0.197)	Loss 3.3473 (3.3398)	Prec@1 25.000 (24.811)	Prec@5 57.422 (52.023)
Epoch: [39][360/7045]	Time 0.515 (0.260)	Data 0.463 (0.197)	Loss 3.2083 (3.3395)	Prec@1 26.172 (24.789)	Prec@5 57.031 (52.028)
Epoch: [39][370/7045]	Time 0.181 (0.260)	Data 0.130 (0.197)	Loss 3.2936 (3.3400)	Prec@1 24.219 (24.775)	Prec@5 51.172 (51.986)
Epoch: [39][380/7045]	Time 0.109 (0.260)	Data 0.058 (0.196)	Loss 3.3578 (3.3403)	Prec@1 22.266 (24.768)	Prec@5 49.609 (51.993)
Epoch: [39][390/7045]	Time 0.109 (0.260)	Data 0.057 (0.196)	Loss 3.4034 (3.3388)	Prec@1 26.172 (24.781)	Prec@5 50.781 (52.040)
Epoch: [39][400/7045]	Time 0.441 (0.260)	Data 0.389 (0.197)	Loss 3.1129 (3.3383)	Prec@1 27.734 (24.800)	Prec@5 57.031 (52.073)
Epoch: [39][410/7045]	Time 0.111 (0.260)	Data 0.001 (0.197)	Loss 3.4610 (3.3385)	Prec@1 21.875 (24.817)	Prec@5 53.125 (52.067)
Epoch: [39][420/7045]	Time 0.696 (0.260)	Data 0.637 (0.197)	Loss 3.4237 (3.3396)	Prec@1 23.047 (24.801)	Prec@5 50.000 (52.036)
Epoch: [39][430/7045]	Time 0.107 (0.260)	Data 0.003 (0.195)	Loss 3.5871 (3.3399)	Prec@1 18.359 (24.783)	Prec@5 44.141 (52.029)
Epoch: [39][440/7045]	Time 0.698 (0.260)	Data 0.647 (0.196)	Loss 3.1699 (3.3406)	Prec@1 26.562 (24.775)	Prec@5 53.906 (52.029)
Epoch: [39][450/7045]	Time 0.368 (0.260)	Data 0.317 (0.195)	Loss 3.1117 (3.3403)	Prec@1 30.469 (24.790)	Prec@5 53.516 (52.024)
Epoch: [39][460/7045]	Time 0.374 (0.260)	Data 0.324 (0.195)	Loss 3.2020 (3.3399)	Prec@1 24.219 (24.795)	Prec@5 52.734 (52.007)
Epoch: [39][470/7045]	Time 0.233 (0.259)	Data 0.181 (0.195)	Loss 3.3639 (3.3396)	Prec@1 22.656 (24.809)	Prec@5 55.469 (52.020)
Epoch: [39][480/7045]	Time 0.197 (0.259)	Data 0.146 (0.195)	Loss 3.2284 (3.3375)	Prec@1 25.000 (24.823)	Prec@5 55.469 (52.042)
Epoch: [39][490/7045]	Time 0.463 (0.259)	Data 0.413 (0.196)	Loss 3.1884 (3.3372)	Prec@1 29.688 (24.846)	Prec@5 55.859 (52.038)
Epoch: [39][500/7045]	Time 0.112 (0.259)	Data 0.061 (0.195)	Loss 3.3291 (3.3381)	Prec@1 23.828 (24.833)	Prec@5 53.906 (52.025)
Epoch: [39][510/7045]	Time 0.152 (0.259)	Data 0.101 (0.195)	Loss 3.3907 (3.3386)	Prec@1 19.922 (24.810)	Prec@5 52.734 (52.016)
Epoch: [39][520/7045]	Time 0.102 (0.259)	Data 0.001 (0.195)	Loss 3.3786 (3.3393)	Prec@1 23.438 (24.822)	Prec@5 48.047 (52.005)
Epoch: [39][530/7045]	Time 0.117 (0.258)	Data 0.064 (0.195)	Loss 3.1403 (3.3399)	Prec@1 23.047 (24.840)	Prec@5 57.031 (52.015)
Epoch: [39][540/7045]	Time 0.471 (0.259)	Data 0.419 (0.195)	Loss 3.2795 (3.3407)	Prec@1 25.781 (24.825)	Prec@5 49.219 (52.020)
Epoch: [39][550/7045]	Time 0.147 (0.259)	Data 0.095 (0.195)	Loss 3.1581 (3.3401)	Prec@1 25.000 (24.838)	Prec@5 57.812 (52.057)
Epoch: [39][560/7045]	Time 0.194 (0.259)	Data 0.143 (0.195)	Loss 3.0899 (3.3386)	Prec@1 26.562 (24.849)	Prec@5 55.859 (52.073)
Epoch: [39][570/7045]	Time 0.102 (0.258)	Data 0.006 (0.195)	Loss 3.1217 (3.3387)	Prec@1 25.781 (24.839)	Prec@5 57.031 (52.069)
Epoch: [39][580/7045]	Time 0.222 (0.259)	Data 0.171 (0.195)	Loss 3.1810 (3.3381)	Prec@1 27.734 (24.851)	Prec@5 57.422 (52.092)
Epoch: [39][590/7045]	Time 0.104 (0.258)	Data 0.053 (0.195)	Loss 3.3799 (3.3379)	Prec@1 26.562 (24.865)	Prec@5 50.781 (52.110)
Epoch: [39][600/7045]	Time 0.103 (0.259)	Data 0.001 (0.195)	Loss 3.6175 (3.3386)	Prec@1 23.828 (24.853)	Prec@5 49.219 (52.101)
Epoch: [39][610/7045]	Time 0.323 (0.259)	Data 0.271 (0.195)	Loss 3.3227 (3.3376)	Prec@1 24.219 (24.887)	Prec@5 52.734 (52.117)
Epoch: [39][620/7045]	Time 0.278 (0.259)	Data 0.227 (0.195)	Loss 3.3021 (3.3370)	Prec@1 23.438 (24.872)	Prec@5 53.516 (52.120)
Epoch: [39][630/7045]	Time 0.598 (0.259)	Data 0.547 (0.196)	Loss 3.4384 (3.3361)	Prec@1 25.000 (24.896)	Prec@5 51.562 (52.145)
Epoch: [39][640/7045]	Time 0.103 (0.259)	Data 0.051 (0.195)	Loss 3.3559 (3.3366)	Prec@1 22.656 (24.876)	Prec@5 50.391 (52.137)
Epoch: [39][650/7045]	Time 0.223 (0.259)	Data 0.165 (0.195)	Loss 3.5430 (3.3369)	Prec@1 18.359 (24.860)	Prec@5 47.266 (52.119)
Epoch: [39][660/7045]	Time 0.176 (0.258)	Data 0.125 (0.195)	Loss 3.3066 (3.3372)	Prec@1 27.734 (24.850)	Prec@5 51.562 (52.100)
Epoch: [39][670/7045]	Time 0.108 (0.258)	Data 0.010 (0.195)	Loss 3.1753 (3.3367)	Prec@1 29.688 (24.869)	Prec@5 54.688 (52.119)
Epoch: [39][680/7045]	Time 0.308 (0.258)	Data 0.257 (0.195)	Loss 3.4771 (3.3373)	Prec@1 25.781 (24.870)	Prec@5 48.438 (52.114)
Epoch: [39][690/7045]	Time 0.132 (0.258)	Data 0.079 (0.195)	Loss 3.3093 (3.3372)	Prec@1 22.656 (24.865)	Prec@5 53.906 (52.120)
Epoch: [39][700/7045]	Time 0.427 (0.258)	Data 0.376 (0.195)	Loss 3.3966 (3.3375)	Prec@1 26.562 (24.866)	Prec@5 51.953 (52.111)
Epoch: [39][710/7045]	Time 0.216 (0.258)	Data 0.165 (0.195)	Loss 3.4927 (3.3383)	Prec@1 21.484 (24.848)	Prec@5 49.219 (52.088)
Epoch: [39][720/7045]	Time 0.494 (0.258)	Data 0.443 (0.195)	Loss 3.1778 (3.3391)	Prec@1 30.859 (24.849)	Prec@5 53.516 (52.076)
Epoch: [39][730/7045]	Time 0.356 (0.258)	Data 0.305 (0.195)	Loss 3.3033 (3.3393)	Prec@1 25.781 (24.832)	Prec@5 52.344 (52.072)
Epoch: [39][740/7045]	Time 0.448 (0.258)	Data 0.396 (0.195)	Loss 3.3414 (3.3397)	Prec@1 27.734 (24.838)	Prec@5 50.000 (52.072)
Epoch: [39][750/7045]	Time 0.103 (0.258)	Data 0.007 (0.194)	Loss 3.3613 (3.3400)	Prec@1 22.266 (24.821)	Prec@5 51.562 (52.062)
Epoch: [39][760/7045]	Time 0.457 (0.258)	Data 0.405 (0.194)	Loss 3.3531 (3.3393)	Prec@1 26.562 (24.830)	Prec@5 50.781 (52.068)
Epoch: [39][770/7045]	Time 0.251 (0.257)	Data 0.199 (0.194)	Loss 3.3809 (3.3404)	Prec@1 23.438 (24.814)	Prec@5 51.953 (52.038)
Epoch: [39][780/7045]	Time 0.400 (0.257)	Data 0.349 (0.194)	Loss 3.3591 (3.3408)	Prec@1 26.172 (24.792)	Prec@5 53.516 (52.030)
Epoch: [39][790/7045]	Time 0.125 (0.257)	Data 0.073 (0.194)	Loss 3.4856 (3.3410)	Prec@1 23.828 (24.793)	Prec@5 52.344 (52.040)
Epoch: [39][800/7045]	Time 0.381 (0.258)	Data 0.330 (0.195)	Loss 3.4684 (3.3409)	Prec@1 17.969 (24.786)	Prec@5 49.219 (52.048)
Epoch: [39][810/7045]	Time 0.153 (0.258)	Data 0.102 (0.195)	Loss 3.3269 (3.3407)	Prec@1 26.562 (24.789)	Prec@5 49.219 (52.040)
Epoch: [39][820/7045]	Time 0.103 (0.257)	Data 0.050 (0.194)	Loss 3.3744 (3.3411)	Prec@1 28.125 (24.775)	Prec@5 51.953 (52.042)
Epoch: [39][830/7045]	Time 0.111 (0.258)	Data 0.059 (0.194)	Loss 3.2428 (3.3406)	Prec@1 25.391 (24.786)	Prec@5 55.078 (52.058)
Epoch: [39][840/7045]	Time 0.147 (0.257)	Data 0.096 (0.194)	Loss 3.3051 (3.3402)	Prec@1 25.781 (24.782)	Prec@5 55.859 (52.074)
Epoch: [39][850/7045]	Time 0.102 (0.257)	Data 0.005 (0.194)	Loss 3.3779 (3.3401)	Prec@1 26.953 (24.796)	Prec@5 53.906 (52.080)
Epoch: [39][860/7045]	Time 0.136 (0.257)	Data 0.084 (0.194)	Loss 3.3960 (3.3403)	Prec@1 27.344 (24.792)	Prec@5 53.516 (52.086)
Epoch: [39][870/7045]	Time 0.255 (0.258)	Data 0.202 (0.194)	Loss 3.4866 (3.3403)	Prec@1 23.828 (24.791)	Prec@5 50.000 (52.093)
Epoch: [39][880/7045]	Time 0.150 (0.257)	Data 0.097 (0.194)	Loss 3.2551 (3.3399)	Prec@1 28.125 (24.799)	Prec@5 52.344 (52.103)
Epoch: [39][890/7045]	Time 0.120 (0.258)	Data 0.058 (0.194)	Loss 3.1909 (3.3394)	Prec@1 26.172 (24.792)	Prec@5 51.953 (52.113)
Epoch: [39][900/7045]	Time 0.550 (0.258)	Data 0.499 (0.194)	Loss 3.1989 (3.3391)	Prec@1 26.562 (24.802)	Prec@5 53.125 (52.118)
Epoch: [39][910/7045]	Time 0.102 (0.258)	Data 0.001 (0.194)	Loss 3.2130 (3.3386)	Prec@1 26.953 (24.804)	Prec@5 53.906 (52.129)
Epoch: [39][920/7045]	Time 0.621 (0.258)	Data 0.569 (0.194)	Loss 3.4843 (3.3388)	Prec@1 19.922 (24.792)	Prec@5 51.172 (52.134)
Epoch: [39][930/7045]	Time 0.102 (0.257)	Data 0.004 (0.193)	Loss 3.4627 (3.3388)	Prec@1 25.781 (24.798)	Prec@5 50.391 (52.135)
Epoch: [39][940/7045]	Time 0.102 (0.258)	Data 0.001 (0.194)	Loss 3.0979 (3.3383)	Prec@1 27.344 (24.803)	Prec@5 57.812 (52.143)
Epoch: [39][950/7045]	Time 0.398 (0.258)	Data 0.347 (0.194)	Loss 3.3874 (3.3377)	Prec@1 25.000 (24.801)	Prec@5 51.172 (52.160)
Epoch: [39][960/7045]	Time 0.130 (0.258)	Data 0.072 (0.194)	Loss 3.3605 (3.3377)	Prec@1 23.828 (24.782)	Prec@5 51.562 (52.167)
Epoch: [39][970/7045]	Time 0.627 (0.258)	Data 0.568 (0.194)	Loss 3.1851 (3.3372)	Prec@1 21.484 (24.782)	Prec@5 56.250 (52.182)
Epoch: [39][980/7045]	Time 0.109 (0.258)	Data 0.001 (0.194)	Loss 3.5164 (3.3372)	Prec@1 19.141 (24.785)	Prec@5 41.406 (52.170)
Epoch: [39][990/7045]	Time 0.314 (0.258)	Data 0.261 (0.194)	Loss 3.1391 (3.3367)	Prec@1 25.781 (24.775)	Prec@5 54.297 (52.185)
Epoch: [39][1000/7045]	Time 0.129 (0.257)	Data 0.076 (0.194)	Loss 3.3063 (3.3361)	Prec@1 22.266 (24.785)	Prec@5 51.953 (52.197)
Epoch: [39][1010/7045]	Time 0.529 (0.258)	Data 0.479 (0.194)	Loss 3.4171 (3.3358)	Prec@1 25.781 (24.798)	Prec@5 48.047 (52.203)
Epoch: [39][1020/7045]	Time 0.262 (0.258)	Data 0.211 (0.194)	Loss 3.2211 (3.3361)	Prec@1 26.172 (24.799)	Prec@5 55.859 (52.203)
Epoch: [39][1030/7045]	Time 0.375 (0.258)	Data 0.323 (0.194)	Loss 3.3371 (3.3358)	Prec@1 25.391 (24.800)	Prec@5 57.422 (52.218)
Epoch: [39][1040/7045]	Time 0.242 (0.258)	Data 0.184 (0.194)	Loss 3.4826 (3.3357)	Prec@1 21.875 (24.797)	Prec@5 48.828 (52.210)
Epoch: [39][1050/7045]	Time 0.308 (0.258)	Data 0.256 (0.194)	Loss 3.4187 (3.3362)	Prec@1 23.828 (24.795)	Prec@5 54.297 (52.205)
Epoch: [39][1060/7045]	Time 0.101 (0.258)	Data 0.001 (0.194)	Loss 3.5712 (3.3364)	Prec@1 17.969 (24.784)	Prec@5 47.266 (52.199)
Epoch: [39][1070/7045]	Time 0.190 (0.258)	Data 0.139 (0.195)	Loss 3.1873 (3.3368)	Prec@1 28.516 (24.781)	Prec@5 56.641 (52.193)
Epoch: [39][1080/7045]	Time 0.400 (0.258)	Data 0.347 (0.195)	Loss 3.2942 (3.3368)	Prec@1 23.047 (24.780)	Prec@5 53.906 (52.189)
Epoch: [39][1090/7045]	Time 0.111 (0.258)	Data 0.059 (0.195)	Loss 3.3904 (3.3367)	Prec@1 25.781 (24.785)	Prec@5 49.219 (52.189)
Epoch: [39][1100/7045]	Time 0.265 (0.258)	Data 0.214 (0.195)	Loss 3.3066 (3.3358)	Prec@1 23.047 (24.797)	Prec@5 55.859 (52.214)
Epoch: [39][1110/7045]	Time 0.353 (0.258)	Data 0.294 (0.195)	Loss 3.3491 (3.3360)	Prec@1 25.781 (24.789)	Prec@5 55.078 (52.215)
Epoch: [39][1120/7045]	Time 0.717 (0.258)	Data 0.660 (0.195)	Loss 3.1808 (3.3358)	Prec@1 25.000 (24.791)	Prec@5 57.031 (52.219)
Epoch: [39][1130/7045]	Time 0.102 (0.258)	Data 0.001 (0.195)	Loss 3.4815 (3.3362)	Prec@1 23.438 (24.782)	Prec@5 51.172 (52.213)
Epoch: [39][1140/7045]	Time 0.603 (0.258)	Data 0.545 (0.195)	Loss 3.3370 (3.3363)	Prec@1 23.438 (24.788)	Prec@5 53.516 (52.222)
Epoch: [39][1150/7045]	Time 0.158 (0.258)	Data 0.108 (0.195)	Loss 3.4435 (3.3364)	Prec@1 23.047 (24.788)	Prec@5 49.609 (52.229)
Epoch: [39][1160/7045]	Time 0.407 (0.258)	Data 0.356 (0.195)	Loss 3.2380 (3.3360)	Prec@1 26.562 (24.793)	Prec@5 54.688 (52.249)
Epoch: [39][1170/7045]	Time 0.309 (0.258)	Data 0.259 (0.195)	Loss 3.1828 (3.3358)	Prec@1 26.172 (24.801)	Prec@5 55.078 (52.250)
Epoch: [39][1180/7045]	Time 0.109 (0.258)	Data 0.056 (0.195)	Loss 3.4635 (3.3361)	Prec@1 21.484 (24.794)	Prec@5 50.000 (52.249)
Epoch: [39][1190/7045]	Time 0.351 (0.258)	Data 0.292 (0.195)	Loss 3.3296 (3.3362)	Prec@1 26.562 (24.792)	Prec@5 57.031 (52.255)
Epoch: [39][1200/7045]	Time 0.287 (0.258)	Data 0.236 (0.195)	Loss 3.2432 (3.3363)	Prec@1 26.562 (24.786)	Prec@5 55.078 (52.247)
Epoch: [39][1210/7045]	Time 0.213 (0.258)	Data 0.163 (0.195)	Loss 3.5768 (3.3367)	Prec@1 18.359 (24.789)	Prec@5 48.047 (52.236)
Epoch: [39][1220/7045]	Time 0.107 (0.258)	Data 0.007 (0.195)	Loss 3.2639 (3.3367)	Prec@1 25.781 (24.784)	Prec@5 55.469 (52.244)
Epoch: [39][1230/7045]	Time 0.102 (0.258)	Data 0.001 (0.195)	Loss 3.3241 (3.3368)	Prec@1 27.734 (24.798)	Prec@5 52.734 (52.242)
Epoch: [39][1240/7045]	Time 0.418 (0.258)	Data 0.366 (0.195)	Loss 3.1792 (3.3366)	Prec@1 27.344 (24.811)	Prec@5 53.906 (52.243)
Epoch: [39][1250/7045]	Time 0.102 (0.258)	Data 0.001 (0.195)	Loss 3.4945 (3.3365)	Prec@1 21.484 (24.811)	Prec@5 46.875 (52.239)
Epoch: [39][1260/7045]	Time 0.155 (0.258)	Data 0.096 (0.195)	Loss 3.4426 (3.3362)	Prec@1 22.656 (24.810)	Prec@5 52.344 (52.246)
Epoch: [39][1270/7045]	Time 0.173 (0.258)	Data 0.122 (0.195)	Loss 3.3509 (3.3364)	Prec@1 24.609 (24.807)	Prec@5 50.391 (52.241)
Epoch: [39][1280/7045]	Time 0.108 (0.258)	Data 0.056 (0.195)	Loss 3.3557 (3.3361)	Prec@1 25.000 (24.812)	Prec@5 49.609 (52.240)
Epoch: [39][1290/7045]	Time 0.586 (0.258)	Data 0.534 (0.195)	Loss 3.4165 (3.3364)	Prec@1 22.656 (24.806)	Prec@5 52.344 (52.237)
Epoch: [39][1300/7045]	Time 0.099 (0.258)	Data 0.001 (0.195)	Loss 3.3649 (3.3369)	Prec@1 27.344 (24.805)	Prec@5 50.000 (52.225)
Epoch: [39][1310/7045]	Time 0.620 (0.258)	Data 0.569 (0.194)	Loss 3.3438 (3.3370)	Prec@1 23.828 (24.808)	Prec@5 55.859 (52.232)
Epoch: [39][1320/7045]	Time 0.212 (0.258)	Data 0.153 (0.194)	Loss 3.4685 (3.3374)	Prec@1 23.047 (24.789)	Prec@5 50.781 (52.224)
Epoch: [39][1330/7045]	Time 0.396 (0.258)	Data 0.339 (0.194)	Loss 3.2767 (3.3374)	Prec@1 28.516 (24.791)	Prec@5 52.344 (52.220)
Epoch: [39][1340/7045]	Time 0.420 (0.258)	Data 0.368 (0.194)	Loss 3.3947 (3.3376)	Prec@1 24.219 (24.787)	Prec@5 49.609 (52.217)
Epoch: [39][1350/7045]	Time 0.101 (0.258)	Data 0.008 (0.194)	Loss 3.2925 (3.3373)	Prec@1 24.609 (24.796)	Prec@5 52.734 (52.221)
Epoch: [39][1360/7045]	Time 0.712 (0.258)	Data 0.659 (0.195)	Loss 3.5724 (3.3375)	Prec@1 23.047 (24.798)	Prec@5 49.609 (52.213)
Epoch: [39][1370/7045]	Time 0.109 (0.258)	Data 0.058 (0.194)	Loss 3.5261 (3.3373)	Prec@1 24.609 (24.801)	Prec@5 49.219 (52.226)
Epoch: [39][1380/7045]	Time 0.518 (0.258)	Data 0.467 (0.194)	Loss 3.2056 (3.3375)	Prec@1 30.078 (24.799)	Prec@5 57.031 (52.224)
Epoch: [39][1390/7045]	Time 0.347 (0.258)	Data 0.295 (0.194)	Loss 3.1919 (3.3378)	Prec@1 26.953 (24.797)	Prec@5 55.469 (52.213)
Epoch: [39][1400/7045]	Time 0.111 (0.258)	Data 0.060 (0.194)	Loss 3.0829 (3.3376)	Prec@1 30.859 (24.805)	Prec@5 57.812 (52.221)
Epoch: [39][1410/7045]	Time 0.167 (0.258)	Data 0.109 (0.194)	Loss 3.2704 (3.3373)	Prec@1 28.906 (24.815)	Prec@5 54.297 (52.219)
Epoch: [39][1420/7045]	Time 0.101 (0.257)	Data 0.001 (0.194)	Loss 3.4288 (3.3375)	Prec@1 26.172 (24.820)	Prec@5 49.609 (52.217)
Epoch: [39][1430/7045]	Time 0.107 (0.258)	Data 0.044 (0.194)	Loss 3.2582 (3.3374)	Prec@1 28.125 (24.820)	Prec@5 53.516 (52.215)
Epoch: [39][1440/7045]	Time 0.103 (0.257)	Data 0.051 (0.193)	Loss 3.5349 (3.3379)	Prec@1 21.094 (24.811)	Prec@5 49.609 (52.210)
Epoch: [39][1450/7045]	Time 0.143 (0.257)	Data 0.092 (0.193)	Loss 3.0947 (3.3378)	Prec@1 25.391 (24.809)	Prec@5 57.812 (52.209)
Epoch: [39][1460/7045]	Time 0.101 (0.257)	Data 0.010 (0.193)	Loss 3.3545 (3.3375)	Prec@1 23.828 (24.814)	Prec@5 50.000 (52.222)
Epoch: [39][1470/7045]	Time 0.102 (0.258)	Data 0.001 (0.193)	Loss 3.2839 (3.3375)	Prec@1 23.828 (24.817)	Prec@5 55.469 (52.218)
Epoch: [39][1480/7045]	Time 0.119 (0.257)	Data 0.066 (0.193)	Loss 3.3428 (3.3375)	Prec@1 21.875 (24.817)	Prec@5 52.734 (52.220)
Epoch: [39][1490/7045]	Time 0.255 (0.257)	Data 0.203 (0.193)	Loss 3.2002 (3.3370)	Prec@1 23.047 (24.823)	Prec@5 56.250 (52.235)
Epoch: [39][1500/7045]	Time 0.380 (0.257)	Data 0.318 (0.193)	Loss 3.2909 (3.3370)	Prec@1 23.828 (24.823)	Prec@5 51.562 (52.243)
Epoch: [39][1510/7045]	Time 0.269 (0.257)	Data 0.217 (0.193)	Loss 3.4445 (3.3370)	Prec@1 23.438 (24.822)	Prec@5 48.828 (52.239)
Epoch: [39][1520/7045]	Time 0.514 (0.257)	Data 0.460 (0.193)	Loss 3.3928 (3.3368)	Prec@1 24.219 (24.820)	Prec@5 48.047 (52.233)
Epoch: [39][1530/7045]	Time 0.109 (0.257)	Data 0.057 (0.193)	Loss 3.4691 (3.3369)	Prec@1 26.953 (24.815)	Prec@5 49.609 (52.229)
Epoch: [39][1540/7045]	Time 0.146 (0.257)	Data 0.094 (0.193)	Loss 3.4874 (3.3370)	Prec@1 24.609 (24.812)	Prec@5 50.781 (52.224)
Epoch: [39][1550/7045]	Time 0.108 (0.257)	Data 0.049 (0.193)	Loss 3.2529 (3.3366)	Prec@1 28.906 (24.824)	Prec@5 53.516 (52.226)
Epoch: [39][1560/7045]	Time 0.125 (0.257)	Data 0.074 (0.193)	Loss 3.3130 (3.3365)	Prec@1 28.516 (24.827)	Prec@5 52.344 (52.226)
Epoch: [39][1570/7045]	Time 0.118 (0.257)	Data 0.067 (0.193)	Loss 3.3252 (3.3372)	Prec@1 28.516 (24.826)	Prec@5 51.953 (52.211)
Epoch: [39][1580/7045]	Time 0.197 (0.257)	Data 0.145 (0.193)	Loss 3.5189 (3.3374)	Prec@1 24.219 (24.827)	Prec@5 47.656 (52.202)
Epoch: [39][1590/7045]	Time 0.257 (0.258)	Data 0.206 (0.193)	Loss 3.3730 (3.3373)	Prec@1 24.609 (24.832)	Prec@5 51.953 (52.200)
Epoch: [39][1600/7045]	Time 0.227 (0.257)	Data 0.176 (0.193)	Loss 3.2991 (3.3371)	Prec@1 24.609 (24.840)	Prec@5 51.953 (52.207)
Epoch: [39][1610/7045]	Time 0.119 (0.257)	Data 0.068 (0.193)	Loss 3.4067 (3.3373)	Prec@1 23.438 (24.834)	Prec@5 53.516 (52.201)
Epoch: [39][1620/7045]	Time 0.239 (0.257)	Data 0.186 (0.193)	Loss 3.2402 (3.3368)	Prec@1 25.391 (24.840)	Prec@5 53.906 (52.211)
Epoch: [39][1630/7045]	Time 0.100 (0.257)	Data 0.048 (0.193)	Loss 3.5777 (3.3367)	Prec@1 19.141 (24.840)	Prec@5 47.266 (52.212)
Epoch: [39][1640/7045]	Time 0.360 (0.257)	Data 0.310 (0.193)	Loss 3.4335 (3.3371)	Prec@1 27.734 (24.832)	Prec@5 53.906 (52.202)
Epoch: [39][1650/7045]	Time 0.102 (0.257)	Data 0.011 (0.193)	Loss 3.5073 (3.3368)	Prec@1 24.219 (24.837)	Prec@5 47.656 (52.208)
Epoch: [39][1660/7045]	Time 0.532 (0.257)	Data 0.481 (0.193)	Loss 3.3348 (3.3370)	Prec@1 24.609 (24.831)	Prec@5 51.172 (52.202)
Epoch: [39][1670/7045]	Time 0.308 (0.257)	Data 0.256 (0.193)	Loss 3.3878 (3.3375)	Prec@1 25.781 (24.823)	Prec@5 53.125 (52.200)
Epoch: [39][1680/7045]	Time 0.294 (0.257)	Data 0.244 (0.193)	Loss 3.1854 (3.3370)	Prec@1 25.781 (24.826)	Prec@5 53.125 (52.212)
Epoch: [39][1690/7045]	Time 0.267 (0.257)	Data 0.216 (0.193)	Loss 3.3037 (3.3373)	Prec@1 25.781 (24.824)	Prec@5 52.344 (52.208)
Epoch: [39][1700/7045]	Time 0.220 (0.257)	Data 0.170 (0.193)	Loss 3.5359 (3.3373)	Prec@1 20.312 (24.822)	Prec@5 47.656 (52.208)
Epoch: [39][1710/7045]	Time 0.122 (0.257)	Data 0.072 (0.193)	Loss 3.0900 (3.3371)	Prec@1 24.219 (24.825)	Prec@5 60.156 (52.217)
Epoch: [39][1720/7045]	Time 0.104 (0.257)	Data 0.052 (0.193)	Loss 3.3422 (3.3369)	Prec@1 25.000 (24.830)	Prec@5 54.297 (52.228)
Epoch: [39][1730/7045]	Time 0.108 (0.256)	Data 0.056 (0.193)	Loss 3.3578 (3.3370)	Prec@1 24.609 (24.817)	Prec@5 50.391 (52.228)
Epoch: [39][1740/7045]	Time 0.101 (0.256)	Data 0.002 (0.193)	Loss 3.3521 (3.3370)	Prec@1 25.000 (24.814)	Prec@5 51.172 (52.227)
Epoch: [39][1750/7045]	Time 0.104 (0.256)	Data 0.002 (0.193)	Loss 3.1938 (3.3365)	Prec@1 30.469 (24.824)	Prec@5 56.641 (52.238)
Epoch: [39][1760/7045]	Time 0.101 (0.256)	Data 0.003 (0.193)	Loss 3.3637 (3.3365)	Prec@1 24.609 (24.827)	Prec@5 48.438 (52.239)
Epoch: [39][1770/7045]	Time 0.121 (0.256)	Data 0.069 (0.192)	Loss 3.1841 (3.3362)	Prec@1 30.469 (24.830)	Prec@5 58.203 (52.244)
Epoch: [39][1780/7045]	Time 0.100 (0.256)	Data 0.002 (0.192)	Loss 3.3485 (3.3360)	Prec@1 26.172 (24.826)	Prec@5 50.781 (52.253)
Epoch: [39][1790/7045]	Time 0.113 (0.256)	Data 0.061 (0.192)	Loss 3.4593 (3.3360)	Prec@1 19.141 (24.826)	Prec@5 48.828 (52.254)
Epoch: [39][1800/7045]	Time 0.102 (0.256)	Data 0.003 (0.192)	Loss 3.2906 (3.3359)	Prec@1 25.000 (24.833)	Prec@5 52.344 (52.256)
Epoch: [39][1810/7045]	Time 0.100 (0.256)	Data 0.048 (0.192)	Loss 3.2406 (3.3358)	Prec@1 26.562 (24.838)	Prec@5 52.344 (52.253)
Epoch: [39][1820/7045]	Time 0.100 (0.256)	Data 0.004 (0.192)	Loss 3.4894 (3.3360)	Prec@1 20.703 (24.834)	Prec@5 49.219 (52.252)
Epoch: [39][1830/7045]	Time 0.102 (0.256)	Data 0.011 (0.192)	Loss 3.4044 (3.3359)	Prec@1 23.828 (24.824)	Prec@5 51.953 (52.261)
Epoch: [39][1840/7045]	Time 0.101 (0.256)	Data 0.001 (0.192)	Loss 3.3002 (3.3364)	Prec@1 23.828 (24.818)	Prec@5 53.125 (52.254)
Epoch: [39][1850/7045]	Time 0.135 (0.256)	Data 0.084 (0.192)	Loss 3.4792 (3.3368)	Prec@1 21.484 (24.809)	Prec@5 53.125 (52.243)
Epoch: [39][1860/7045]	Time 0.102 (0.255)	Data 0.005 (0.192)	Loss 3.1847 (3.3369)	Prec@1 29.688 (24.807)	Prec@5 53.516 (52.237)
Epoch: [39][1870/7045]	Time 0.316 (0.255)	Data 0.266 (0.192)	Loss 3.4137 (3.3374)	Prec@1 24.609 (24.801)	Prec@5 54.297 (52.229)
Epoch: [39][1880/7045]	Time 0.100 (0.255)	Data 0.001 (0.191)	Loss 3.2941 (3.3371)	Prec@1 24.219 (24.804)	Prec@5 52.344 (52.233)
Epoch: [39][1890/7045]	Time 0.281 (0.255)	Data 0.230 (0.191)	Loss 3.3478 (3.3373)	Prec@1 25.391 (24.800)	Prec@5 49.219 (52.228)
Epoch: [39][1900/7045]	Time 0.124 (0.255)	Data 0.073 (0.191)	Loss 3.2484 (3.3370)	Prec@1 26.562 (24.803)	Prec@5 52.344 (52.231)
Epoch: [39][1910/7045]	Time 0.274 (0.255)	Data 0.219 (0.191)	Loss 2.8737 (3.3367)	Prec@1 32.422 (24.811)	Prec@5 64.844 (52.241)
Epoch: [39][1920/7045]	Time 0.314 (0.255)	Data 0.262 (0.191)	Loss 3.1818 (3.3366)	Prec@1 24.609 (24.814)	Prec@5 55.078 (52.246)
Epoch: [39][1930/7045]	Time 0.259 (0.255)	Data 0.199 (0.191)	Loss 3.4214 (3.3366)	Prec@1 26.562 (24.818)	Prec@5 52.344 (52.251)
Epoch: [39][1940/7045]	Time 0.538 (0.255)	Data 0.487 (0.191)	Loss 3.1311 (3.3365)	Prec@1 27.734 (24.822)	Prec@5 57.422 (52.256)
Epoch: [39][1950/7045]	Time 0.119 (0.255)	Data 0.068 (0.191)	Loss 3.4169 (3.3363)	Prec@1 22.266 (24.830)	Prec@5 49.219 (52.259)
Epoch: [39][1960/7045]	Time 0.605 (0.255)	Data 0.553 (0.191)	Loss 3.2625 (3.3360)	Prec@1 28.125 (24.838)	Prec@5 52.734 (52.269)
Epoch: [39][1970/7045]	Time 0.110 (0.255)	Data 0.057 (0.191)	Loss 3.4814 (3.3362)	Prec@1 19.922 (24.837)	Prec@5 50.000 (52.268)
Epoch: [39][1980/7045]	Time 0.422 (0.255)	Data 0.371 (0.191)	Loss 3.3532 (3.3362)	Prec@1 24.609 (24.837)	Prec@5 50.000 (52.270)
Epoch: [39][1990/7045]	Time 0.155 (0.254)	Data 0.104 (0.191)	Loss 3.5336 (3.3361)	Prec@1 19.922 (24.839)	Prec@5 44.922 (52.270)
Epoch: [39][2000/7045]	Time 0.474 (0.254)	Data 0.423 (0.191)	Loss 3.2012 (3.3360)	Prec@1 26.953 (24.839)	Prec@5 51.953 (52.271)
Epoch: [39][2010/7045]	Time 0.148 (0.254)	Data 0.096 (0.191)	Loss 3.2917 (3.3360)	Prec@1 25.781 (24.836)	Prec@5 52.734 (52.273)
Epoch: [39][2020/7045]	Time 0.246 (0.254)	Data 0.193 (0.191)	Loss 3.2897 (3.3355)	Prec@1 26.172 (24.845)	Prec@5 53.516 (52.288)
Epoch: [39][2030/7045]	Time 0.188 (0.254)	Data 0.137 (0.191)	Loss 3.2248 (3.3355)	Prec@1 29.688 (24.847)	Prec@5 57.422 (52.292)
Epoch: [39][2040/7045]	Time 0.101 (0.254)	Data 0.045 (0.191)	Loss 3.3276 (3.3355)	Prec@1 23.047 (24.849)	Prec@5 52.344 (52.290)
Epoch: [39][2050/7045]	Time 0.223 (0.254)	Data 0.172 (0.191)	Loss 3.1541 (3.3354)	Prec@1 28.125 (24.853)	Prec@5 54.688 (52.291)
Epoch: [39][2060/7045]	Time 0.166 (0.254)	Data 0.116 (0.191)	Loss 3.3637 (3.3357)	Prec@1 24.609 (24.848)	Prec@5 53.125 (52.285)
Epoch: [39][2070/7045]	Time 0.156 (0.254)	Data 0.105 (0.191)	Loss 3.2427 (3.3358)	Prec@1 26.172 (24.846)	Prec@5 54.297 (52.283)
Epoch: [39][2080/7045]	Time 0.305 (0.254)	Data 0.248 (0.191)	Loss 3.2538 (3.3357)	Prec@1 26.953 (24.847)	Prec@5 49.609 (52.284)
Epoch: [39][2090/7045]	Time 0.257 (0.254)	Data 0.205 (0.191)	Loss 3.1991 (3.3352)	Prec@1 25.391 (24.852)	Prec@5 57.031 (52.296)
Epoch: [39][2100/7045]	Time 0.262 (0.254)	Data 0.210 (0.191)	Loss 3.2664 (3.3349)	Prec@1 26.172 (24.850)	Prec@5 51.172 (52.295)
Epoch: [39][2110/7045]	Time 0.109 (0.254)	Data 0.056 (0.191)	Loss 3.3456 (3.3349)	Prec@1 25.000 (24.850)	Prec@5 49.609 (52.293)
Epoch: [39][2120/7045]	Time 0.217 (0.254)	Data 0.165 (0.190)	Loss 3.2689 (3.3346)	Prec@1 27.344 (24.856)	Prec@5 55.078 (52.301)
Epoch: [39][2130/7045]	Time 0.197 (0.254)	Data 0.147 (0.191)	Loss 3.3505 (3.3348)	Prec@1 24.609 (24.847)	Prec@5 54.688 (52.299)
Epoch: [39][2140/7045]	Time 0.107 (0.254)	Data 0.056 (0.190)	Loss 3.2683 (3.3346)	Prec@1 28.516 (24.850)	Prec@5 53.906 (52.303)
Epoch: [39][2150/7045]	Time 0.273 (0.254)	Data 0.222 (0.190)	Loss 3.2128 (3.3347)	Prec@1 27.734 (24.850)	Prec@5 56.641 (52.298)
Epoch: [39][2160/7045]	Time 0.101 (0.253)	Data 0.007 (0.190)	Loss 3.2478 (3.3344)	Prec@1 25.000 (24.858)	Prec@5 56.250 (52.304)
Epoch: [39][2170/7045]	Time 0.340 (0.253)	Data 0.289 (0.190)	Loss 3.2826 (3.3340)	Prec@1 24.219 (24.861)	Prec@5 53.516 (52.310)
Epoch: [39][2180/7045]	Time 0.238 (0.253)	Data 0.188 (0.190)	Loss 3.0651 (3.3335)	Prec@1 26.953 (24.864)	Prec@5 54.688 (52.318)
Epoch: [39][2190/7045]	Time 0.365 (0.253)	Data 0.315 (0.190)	Loss 3.2015 (3.3334)	Prec@1 30.078 (24.868)	Prec@5 58.984 (52.324)
Epoch: [39][2200/7045]	Time 0.513 (0.253)	Data 0.462 (0.190)	Loss 3.4518 (3.3335)	Prec@1 24.609 (24.866)	Prec@5 49.609 (52.325)
Epoch: [39][2210/7045]	Time 0.240 (0.253)	Data 0.189 (0.190)	Loss 3.3633 (3.3335)	Prec@1 22.656 (24.866)	Prec@5 48.047 (52.324)
Epoch: [39][2220/7045]	Time 0.441 (0.253)	Data 0.390 (0.190)	Loss 3.3270 (3.3333)	Prec@1 25.781 (24.867)	Prec@5 53.125 (52.324)
Epoch: [39][2230/7045]	Time 0.102 (0.253)	Data 0.045 (0.190)	Loss 3.5051 (3.3336)	Prec@1 19.531 (24.862)	Prec@5 44.531 (52.317)
Epoch: [39][2240/7045]	Time 0.294 (0.253)	Data 0.244 (0.190)	Loss 3.4853 (3.3337)	Prec@1 22.656 (24.861)	Prec@5 48.828 (52.316)
Epoch: [39][2250/7045]	Time 0.102 (0.253)	Data 0.010 (0.190)	Loss 3.1753 (3.3335)	Prec@1 32.031 (24.868)	Prec@5 59.766 (52.324)
Epoch: [39][2260/7045]	Time 0.288 (0.253)	Data 0.237 (0.190)	Loss 3.2951 (3.3335)	Prec@1 28.125 (24.873)	Prec@5 49.609 (52.322)
Epoch: [39][2270/7045]	Time 0.103 (0.253)	Data 0.007 (0.190)	Loss 3.3919 (3.3335)	Prec@1 23.047 (24.871)	Prec@5 50.000 (52.319)
Epoch: [39][2280/7045]	Time 0.116 (0.253)	Data 0.064 (0.190)	Loss 3.2013 (3.3332)	Prec@1 26.172 (24.874)	Prec@5 56.641 (52.325)
Epoch: [39][2290/7045]	Time 0.101 (0.253)	Data 0.001 (0.190)	Loss 3.3761 (3.3334)	Prec@1 24.609 (24.869)	Prec@5 50.781 (52.315)
Epoch: [39][2300/7045]	Time 0.101 (0.253)	Data 0.046 (0.190)	Loss 3.4013 (3.3333)	Prec@1 24.609 (24.867)	Prec@5 49.219 (52.319)
Epoch: [39][2310/7045]	Time 0.102 (0.253)	Data 0.001 (0.190)	Loss 3.3016 (3.3334)	Prec@1 26.953 (24.866)	Prec@5 52.734 (52.319)
Epoch: [39][2320/7045]	Time 0.102 (0.253)	Data 0.005 (0.190)	Loss 3.3710 (3.3334)	Prec@1 24.219 (24.872)	Prec@5 50.781 (52.323)
Epoch: [39][2330/7045]	Time 0.101 (0.253)	Data 0.001 (0.190)	Loss 3.2222 (3.3334)	Prec@1 31.250 (24.873)	Prec@5 55.078 (52.318)
Epoch: [39][2340/7045]	Time 0.158 (0.252)	Data 0.108 (0.189)	Loss 3.3867 (3.3335)	Prec@1 26.172 (24.872)	Prec@5 51.953 (52.319)
Epoch: [39][2350/7045]	Time 0.102 (0.252)	Data 0.001 (0.189)	Loss 3.2749 (3.3334)	Prec@1 26.953 (24.872)	Prec@5 51.562 (52.318)
Epoch: [39][2360/7045]	Time 0.234 (0.252)	Data 0.183 (0.189)	Loss 3.4743 (3.3338)	Prec@1 25.391 (24.872)	Prec@5 52.344 (52.311)
Epoch: [39][2370/7045]	Time 0.102 (0.252)	Data 0.004 (0.189)	Loss 3.3818 (3.3338)	Prec@1 26.172 (24.872)	Prec@5 55.469 (52.314)
Epoch: [39][2380/7045]	Time 0.194 (0.252)	Data 0.143 (0.189)	Loss 3.4423 (3.3340)	Prec@1 24.219 (24.869)	Prec@5 45.703 (52.312)
Epoch: [39][2390/7045]	Time 0.101 (0.252)	Data 0.006 (0.189)	Loss 3.3027 (3.3341)	Prec@1 24.609 (24.869)	Prec@5 54.297 (52.306)
Epoch: [39][2400/7045]	Time 0.299 (0.252)	Data 0.248 (0.189)	Loss 3.3644 (3.3340)	Prec@1 20.312 (24.864)	Prec@5 53.906 (52.308)
Epoch: [39][2410/7045]	Time 0.101 (0.252)	Data 0.007 (0.189)	Loss 3.3182 (3.3340)	Prec@1 22.656 (24.863)	Prec@5 53.516 (52.311)
Epoch: [39][2420/7045]	Time 0.397 (0.252)	Data 0.345 (0.189)	Loss 3.4180 (3.3342)	Prec@1 21.094 (24.858)	Prec@5 47.266 (52.307)
Epoch: [39][2430/7045]	Time 0.101 (0.252)	Data 0.005 (0.189)	Loss 3.1930 (3.3342)	Prec@1 27.344 (24.856)	Prec@5 53.516 (52.304)
Epoch: [39][2440/7045]	Time 0.391 (0.252)	Data 0.334 (0.189)	Loss 3.2054 (3.3343)	Prec@1 26.562 (24.853)	Prec@5 55.078 (52.303)
Epoch: [39][2450/7045]	Time 0.102 (0.252)	Data 0.005 (0.189)	Loss 3.2527 (3.3340)	Prec@1 25.000 (24.859)	Prec@5 51.562 (52.309)
Epoch: [39][2460/7045]	Time 0.417 (0.252)	Data 0.360 (0.189)	Loss 3.3694 (3.3342)	Prec@1 24.609 (24.855)	Prec@5 52.344 (52.305)
Epoch: [39][2470/7045]	Time 0.102 (0.252)	Data 0.001 (0.189)	Loss 3.2424 (3.3342)	Prec@1 25.781 (24.858)	Prec@5 55.859 (52.308)
Epoch: [39][2480/7045]	Time 0.465 (0.252)	Data 0.413 (0.189)	Loss 3.3987 (3.3340)	Prec@1 23.828 (24.856)	Prec@5 54.297 (52.311)
Epoch: [39][2490/7045]	Time 0.100 (0.252)	Data 0.001 (0.189)	Loss 3.2195 (3.3340)	Prec@1 30.859 (24.861)	Prec@5 54.688 (52.310)
Epoch: [39][2500/7045]	Time 0.470 (0.252)	Data 0.419 (0.189)	Loss 3.4836 (3.3338)	Prec@1 23.438 (24.861)	Prec@5 50.391 (52.317)
Epoch: [39][2510/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 3.2232 (3.3342)	Prec@1 24.609 (24.859)	Prec@5 52.344 (52.306)
Epoch: [39][2520/7045]	Time 0.491 (0.252)	Data 0.434 (0.188)	Loss 3.2481 (3.3341)	Prec@1 25.391 (24.856)	Prec@5 53.125 (52.304)
Epoch: [39][2530/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 3.3561 (3.3345)	Prec@1 24.219 (24.853)	Prec@5 51.562 (52.298)
Epoch: [39][2540/7045]	Time 0.560 (0.251)	Data 0.503 (0.188)	Loss 3.4484 (3.3347)	Prec@1 24.219 (24.850)	Prec@5 52.734 (52.292)
Epoch: [39][2550/7045]	Time 0.102 (0.251)	Data 0.050 (0.188)	Loss 3.5264 (3.3350)	Prec@1 23.047 (24.851)	Prec@5 44.922 (52.281)
Epoch: [39][2560/7045]	Time 0.589 (0.251)	Data 0.539 (0.188)	Loss 3.2254 (3.3351)	Prec@1 24.609 (24.853)	Prec@5 55.859 (52.276)
Epoch: [39][2570/7045]	Time 0.111 (0.251)	Data 0.060 (0.188)	Loss 3.2137 (3.3351)	Prec@1 25.781 (24.851)	Prec@5 51.562 (52.273)
Epoch: [39][2580/7045]	Time 0.600 (0.251)	Data 0.549 (0.188)	Loss 3.0342 (3.3349)	Prec@1 30.469 (24.858)	Prec@5 59.375 (52.276)
Epoch: [39][2590/7045]	Time 0.105 (0.251)	Data 0.054 (0.188)	Loss 3.4013 (3.3350)	Prec@1 21.484 (24.859)	Prec@5 49.609 (52.272)
Epoch: [39][2600/7045]	Time 0.534 (0.251)	Data 0.475 (0.188)	Loss 3.2555 (3.3350)	Prec@1 25.391 (24.860)	Prec@5 53.516 (52.272)
Epoch: [39][2610/7045]	Time 0.111 (0.251)	Data 0.059 (0.188)	Loss 3.1854 (3.3351)	Prec@1 30.078 (24.858)	Prec@5 54.297 (52.272)
Epoch: [39][2620/7045]	Time 0.620 (0.251)	Data 0.563 (0.188)	Loss 3.3947 (3.3351)	Prec@1 21.484 (24.859)	Prec@5 53.906 (52.272)
Epoch: [39][2630/7045]	Time 0.104 (0.251)	Data 0.052 (0.188)	Loss 3.4014 (3.3352)	Prec@1 26.562 (24.856)	Prec@5 51.562 (52.271)
Epoch: [39][2640/7045]	Time 0.604 (0.251)	Data 0.554 (0.188)	Loss 3.3461 (3.3352)	Prec@1 26.953 (24.861)	Prec@5 55.469 (52.270)
Epoch: [39][2650/7045]	Time 0.101 (0.251)	Data 0.043 (0.188)	Loss 3.0961 (3.3351)	Prec@1 31.641 (24.864)	Prec@5 56.250 (52.274)
Epoch: [39][2660/7045]	Time 0.625 (0.251)	Data 0.575 (0.188)	Loss 3.5355 (3.3354)	Prec@1 22.266 (24.861)	Prec@5 51.172 (52.274)
Epoch: [39][2670/7045]	Time 0.107 (0.251)	Data 0.001 (0.188)	Loss 3.2146 (3.3355)	Prec@1 25.391 (24.858)	Prec@5 54.688 (52.271)
Epoch: [39][2680/7045]	Time 0.623 (0.251)	Data 0.563 (0.188)	Loss 3.4482 (3.3356)	Prec@1 23.047 (24.856)	Prec@5 49.609 (52.272)
Epoch: [39][2690/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.2031 (3.3355)	Prec@1 26.953 (24.861)	Prec@5 54.688 (52.272)
Epoch: [39][2700/7045]	Time 0.558 (0.251)	Data 0.500 (0.188)	Loss 3.4074 (3.3355)	Prec@1 22.656 (24.860)	Prec@5 52.734 (52.275)
Epoch: [39][2710/7045]	Time 0.101 (0.251)	Data 0.047 (0.187)	Loss 3.2238 (3.3353)	Prec@1 29.688 (24.868)	Prec@5 53.906 (52.277)
Epoch: [39][2720/7045]	Time 0.581 (0.251)	Data 0.530 (0.187)	Loss 3.2833 (3.3353)	Prec@1 23.438 (24.867)	Prec@5 55.078 (52.281)
Epoch: [39][2730/7045]	Time 0.108 (0.251)	Data 0.005 (0.187)	Loss 3.3621 (3.3351)	Prec@1 23.438 (24.867)	Prec@5 51.562 (52.283)
Epoch: [39][2740/7045]	Time 0.562 (0.251)	Data 0.511 (0.187)	Loss 3.3766 (3.3350)	Prec@1 23.438 (24.867)	Prec@5 50.391 (52.282)
Epoch: [39][2750/7045]	Time 0.101 (0.250)	Data 0.047 (0.187)	Loss 3.5761 (3.3350)	Prec@1 21.875 (24.868)	Prec@5 48.438 (52.286)
Epoch: [39][2760/7045]	Time 0.534 (0.250)	Data 0.482 (0.187)	Loss 3.3226 (3.3351)	Prec@1 30.469 (24.874)	Prec@5 52.734 (52.288)
Epoch: [39][2770/7045]	Time 0.101 (0.250)	Data 0.044 (0.187)	Loss 3.4854 (3.3352)	Prec@1 20.312 (24.871)	Prec@5 43.359 (52.286)
Epoch: [39][2780/7045]	Time 0.432 (0.250)	Data 0.375 (0.187)	Loss 3.3876 (3.3351)	Prec@1 25.391 (24.871)	Prec@5 50.781 (52.290)
Epoch: [39][2790/7045]	Time 0.165 (0.250)	Data 0.114 (0.187)	Loss 3.3113 (3.3350)	Prec@1 25.781 (24.876)	Prec@5 53.516 (52.295)
Epoch: [39][2800/7045]	Time 0.444 (0.250)	Data 0.383 (0.187)	Loss 3.4789 (3.3349)	Prec@1 25.000 (24.874)	Prec@5 46.094 (52.297)
Epoch: [39][2810/7045]	Time 0.112 (0.250)	Data 0.061 (0.187)	Loss 3.3110 (3.3346)	Prec@1 23.047 (24.878)	Prec@5 49.609 (52.301)
Epoch: [39][2820/7045]	Time 0.552 (0.250)	Data 0.502 (0.187)	Loss 3.2615 (3.3346)	Prec@1 30.078 (24.881)	Prec@5 55.078 (52.299)
Epoch: [39][2830/7045]	Time 0.105 (0.250)	Data 0.053 (0.187)	Loss 3.2721 (3.3342)	Prec@1 27.734 (24.885)	Prec@5 53.516 (52.305)
Epoch: [39][2840/7045]	Time 0.563 (0.250)	Data 0.512 (0.187)	Loss 3.3837 (3.3343)	Prec@1 24.609 (24.885)	Prec@5 52.734 (52.306)
Epoch: [39][2850/7045]	Time 0.102 (0.250)	Data 0.051 (0.187)	Loss 3.4508 (3.3344)	Prec@1 23.047 (24.882)	Prec@5 49.219 (52.303)
Epoch: [39][2860/7045]	Time 0.584 (0.250)	Data 0.526 (0.187)	Loss 3.3137 (3.3342)	Prec@1 27.344 (24.882)	Prec@5 53.906 (52.305)
Epoch: [39][2870/7045]	Time 0.103 (0.250)	Data 0.050 (0.187)	Loss 3.4166 (3.3338)	Prec@1 25.000 (24.893)	Prec@5 49.609 (52.313)
Epoch: [39][2880/7045]	Time 0.537 (0.250)	Data 0.486 (0.187)	Loss 3.3820 (3.3337)	Prec@1 24.219 (24.896)	Prec@5 52.734 (52.319)
Epoch: [39][2890/7045]	Time 0.116 (0.250)	Data 0.065 (0.187)	Loss 3.5111 (3.3340)	Prec@1 24.609 (24.894)	Prec@5 49.609 (52.316)
Epoch: [39][2900/7045]	Time 0.320 (0.250)	Data 0.270 (0.187)	Loss 3.3444 (3.3340)	Prec@1 30.859 (24.896)	Prec@5 53.125 (52.314)
Epoch: [39][2910/7045]	Time 0.102 (0.250)	Data 0.005 (0.187)	Loss 3.2923 (3.3340)	Prec@1 27.734 (24.897)	Prec@5 53.125 (52.314)
Epoch: [39][2920/7045]	Time 0.102 (0.250)	Data 0.046 (0.187)	Loss 3.3479 (3.3342)	Prec@1 26.172 (24.896)	Prec@5 53.516 (52.310)
Epoch: [39][2930/7045]	Time 0.101 (0.250)	Data 0.007 (0.187)	Loss 3.3603 (3.3343)	Prec@1 24.609 (24.894)	Prec@5 51.172 (52.309)
Epoch: [39][2940/7045]	Time 0.111 (0.250)	Data 0.059 (0.187)	Loss 3.3810 (3.3346)	Prec@1 21.094 (24.889)	Prec@5 49.219 (52.300)
Epoch: [39][2950/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 3.3521 (3.3345)	Prec@1 23.828 (24.892)	Prec@5 51.953 (52.304)
Epoch: [39][2960/7045]	Time 0.161 (0.250)	Data 0.109 (0.187)	Loss 3.2769 (3.3344)	Prec@1 23.438 (24.894)	Prec@5 55.469 (52.305)
Epoch: [39][2970/7045]	Time 0.102 (0.250)	Data 0.049 (0.187)	Loss 3.4191 (3.3342)	Prec@1 26.953 (24.898)	Prec@5 50.781 (52.312)
Epoch: [39][2980/7045]	Time 0.156 (0.250)	Data 0.104 (0.187)	Loss 3.4362 (3.3342)	Prec@1 24.219 (24.899)	Prec@5 48.438 (52.313)
Epoch: [39][2990/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 3.4196 (3.3342)	Prec@1 21.875 (24.901)	Prec@5 51.562 (52.316)
Epoch: [39][3000/7045]	Time 0.129 (0.250)	Data 0.078 (0.187)	Loss 3.3635 (3.3341)	Prec@1 26.172 (24.901)	Prec@5 53.125 (52.317)
Epoch: [39][3010/7045]	Time 0.107 (0.250)	Data 0.055 (0.187)	Loss 3.1118 (3.3341)	Prec@1 28.906 (24.899)	Prec@5 59.766 (52.316)
Epoch: [39][3020/7045]	Time 0.222 (0.250)	Data 0.165 (0.187)	Loss 3.2374 (3.3341)	Prec@1 28.516 (24.899)	Prec@5 53.906 (52.316)
Epoch: [39][3030/7045]	Time 0.137 (0.249)	Data 0.085 (0.187)	Loss 3.2200 (3.3342)	Prec@1 23.828 (24.897)	Prec@5 58.203 (52.314)
Epoch: [39][3040/7045]	Time 0.250 (0.250)	Data 0.199 (0.187)	Loss 3.1787 (3.3341)	Prec@1 25.391 (24.899)	Prec@5 53.906 (52.313)
Epoch: [39][3050/7045]	Time 0.197 (0.249)	Data 0.146 (0.187)	Loss 3.4506 (3.3343)	Prec@1 23.047 (24.894)	Prec@5 48.828 (52.309)
Epoch: [39][3060/7045]	Time 0.277 (0.249)	Data 0.226 (0.187)	Loss 3.3586 (3.3342)	Prec@1 23.828 (24.896)	Prec@5 53.906 (52.309)
Epoch: [39][3070/7045]	Time 0.402 (0.249)	Data 0.352 (0.187)	Loss 3.4964 (3.3342)	Prec@1 26.172 (24.896)	Prec@5 47.656 (52.308)
Epoch: [39][3080/7045]	Time 0.228 (0.249)	Data 0.176 (0.187)	Loss 3.2403 (3.3345)	Prec@1 28.516 (24.893)	Prec@5 57.812 (52.305)
Epoch: [39][3090/7045]	Time 0.394 (0.249)	Data 0.343 (0.187)	Loss 3.4442 (3.3346)	Prec@1 22.266 (24.891)	Prec@5 49.609 (52.303)
Epoch: [39][3100/7045]	Time 0.112 (0.249)	Data 0.061 (0.187)	Loss 3.3908 (3.3345)	Prec@1 21.484 (24.892)	Prec@5 50.391 (52.304)
Epoch: [39][3110/7045]	Time 0.518 (0.249)	Data 0.467 (0.187)	Loss 3.2693 (3.3344)	Prec@1 26.562 (24.895)	Prec@5 54.297 (52.307)
Epoch: [39][3120/7045]	Time 0.102 (0.249)	Data 0.051 (0.187)	Loss 3.0355 (3.3342)	Prec@1 28.516 (24.898)	Prec@5 55.859 (52.308)
Epoch: [39][3130/7045]	Time 0.662 (0.249)	Data 0.612 (0.187)	Loss 3.2363 (3.3341)	Prec@1 30.469 (24.901)	Prec@5 56.250 (52.313)
Epoch: [39][3140/7045]	Time 0.110 (0.249)	Data 0.059 (0.186)	Loss 3.6086 (3.3341)	Prec@1 19.141 (24.900)	Prec@5 46.484 (52.309)
Epoch: [39][3150/7045]	Time 0.618 (0.249)	Data 0.566 (0.186)	Loss 3.4593 (3.3342)	Prec@1 23.047 (24.896)	Prec@5 50.000 (52.305)
Epoch: [39][3160/7045]	Time 0.102 (0.249)	Data 0.001 (0.186)	Loss 3.4945 (3.3342)	Prec@1 24.609 (24.898)	Prec@5 51.562 (52.309)
Epoch: [39][3170/7045]	Time 0.585 (0.249)	Data 0.536 (0.186)	Loss 3.5612 (3.3341)	Prec@1 18.750 (24.899)	Prec@5 51.953 (52.316)
Epoch: [39][3180/7045]	Time 0.124 (0.249)	Data 0.072 (0.186)	Loss 3.0382 (3.3340)	Prec@1 28.906 (24.903)	Prec@5 58.203 (52.318)
Epoch: [39][3190/7045]	Time 0.557 (0.249)	Data 0.507 (0.186)	Loss 3.2552 (3.3339)	Prec@1 24.219 (24.905)	Prec@5 53.906 (52.321)
Epoch: [39][3200/7045]	Time 0.131 (0.249)	Data 0.080 (0.186)	Loss 3.1325 (3.3338)	Prec@1 29.297 (24.906)	Prec@5 58.594 (52.321)
Epoch: [39][3210/7045]	Time 0.529 (0.249)	Data 0.478 (0.186)	Loss 3.3705 (3.3338)	Prec@1 24.219 (24.907)	Prec@5 51.953 (52.322)
Epoch: [39][3220/7045]	Time 0.205 (0.249)	Data 0.155 (0.186)	Loss 3.3147 (3.3339)	Prec@1 22.266 (24.907)	Prec@5 53.516 (52.324)
Epoch: [39][3230/7045]	Time 0.525 (0.249)	Data 0.475 (0.186)	Loss 3.4276 (3.3338)	Prec@1 25.391 (24.908)	Prec@5 54.297 (52.325)
Epoch: [39][3240/7045]	Time 0.195 (0.249)	Data 0.144 (0.186)	Loss 3.3152 (3.3338)	Prec@1 31.250 (24.911)	Prec@5 54.688 (52.326)
Epoch: [39][3250/7045]	Time 0.493 (0.249)	Data 0.443 (0.186)	Loss 3.2420 (3.3336)	Prec@1 32.031 (24.913)	Prec@5 54.297 (52.332)
Epoch: [39][3260/7045]	Time 0.261 (0.249)	Data 0.202 (0.186)	Loss 3.4219 (3.3337)	Prec@1 22.266 (24.911)	Prec@5 50.781 (52.327)
Epoch: [39][3270/7045]	Time 0.483 (0.249)	Data 0.433 (0.186)	Loss 3.2710 (3.3337)	Prec@1 25.391 (24.909)	Prec@5 55.078 (52.327)
Epoch: [39][3280/7045]	Time 0.119 (0.249)	Data 0.060 (0.186)	Loss 3.5415 (3.3336)	Prec@1 21.484 (24.908)	Prec@5 51.172 (52.329)
Epoch: [39][3290/7045]	Time 0.678 (0.249)	Data 0.626 (0.186)	Loss 3.3139 (3.3337)	Prec@1 22.266 (24.907)	Prec@5 51.562 (52.328)
Epoch: [39][3300/7045]	Time 0.121 (0.249)	Data 0.070 (0.186)	Loss 3.4165 (3.3338)	Prec@1 23.438 (24.905)	Prec@5 52.344 (52.328)
Epoch: [39][3310/7045]	Time 0.633 (0.249)	Data 0.582 (0.186)	Loss 3.3967 (3.3338)	Prec@1 26.953 (24.907)	Prec@5 49.609 (52.327)
Epoch: [39][3320/7045]	Time 0.141 (0.249)	Data 0.090 (0.186)	Loss 3.2888 (3.3340)	Prec@1 23.438 (24.902)	Prec@5 52.344 (52.323)
Epoch: [39][3330/7045]	Time 0.612 (0.249)	Data 0.561 (0.186)	Loss 3.4275 (3.3341)	Prec@1 25.781 (24.901)	Prec@5 49.609 (52.317)
Epoch: [39][3340/7045]	Time 0.139 (0.249)	Data 0.089 (0.186)	Loss 3.1022 (3.3339)	Prec@1 27.734 (24.905)	Prec@5 56.250 (52.322)
Epoch: [39][3350/7045]	Time 0.531 (0.249)	Data 0.475 (0.186)	Loss 3.3071 (3.3338)	Prec@1 25.000 (24.908)	Prec@5 51.562 (52.323)
Epoch: [39][3360/7045]	Time 0.202 (0.249)	Data 0.150 (0.186)	Loss 3.2473 (3.3338)	Prec@1 27.344 (24.909)	Prec@5 58.203 (52.323)
Epoch: [39][3370/7045]	Time 0.614 (0.249)	Data 0.557 (0.186)	Loss 3.2008 (3.3338)	Prec@1 26.172 (24.907)	Prec@5 55.859 (52.324)
Epoch: [39][3380/7045]	Time 0.119 (0.249)	Data 0.062 (0.186)	Loss 3.3226 (3.3338)	Prec@1 24.219 (24.908)	Prec@5 54.688 (52.324)
Epoch: [39][3390/7045]	Time 0.667 (0.249)	Data 0.614 (0.186)	Loss 3.3084 (3.3339)	Prec@1 28.906 (24.909)	Prec@5 51.562 (52.320)
Epoch: [39][3400/7045]	Time 0.128 (0.249)	Data 0.070 (0.185)	Loss 3.1706 (3.3336)	Prec@1 24.609 (24.914)	Prec@5 53.516 (52.331)
Epoch: [39][3410/7045]	Time 0.595 (0.249)	Data 0.544 (0.185)	Loss 3.3826 (3.3335)	Prec@1 23.828 (24.913)	Prec@5 50.781 (52.333)
Epoch: [39][3420/7045]	Time 0.101 (0.248)	Data 0.049 (0.185)	Loss 3.3077 (3.3336)	Prec@1 27.344 (24.911)	Prec@5 53.516 (52.332)
Epoch: [39][3430/7045]	Time 0.630 (0.249)	Data 0.579 (0.185)	Loss 3.2658 (3.3334)	Prec@1 25.000 (24.916)	Prec@5 57.031 (52.335)
Epoch: [39][3440/7045]	Time 0.108 (0.248)	Data 0.001 (0.185)	Loss 3.3442 (3.3334)	Prec@1 26.172 (24.917)	Prec@5 55.078 (52.337)
Epoch: [39][3450/7045]	Time 0.649 (0.248)	Data 0.597 (0.185)	Loss 3.3294 (3.3333)	Prec@1 25.391 (24.918)	Prec@5 53.125 (52.339)
Epoch: [39][3460/7045]	Time 0.109 (0.248)	Data 0.001 (0.185)	Loss 3.3206 (3.3334)	Prec@1 25.391 (24.917)	Prec@5 53.125 (52.336)
Epoch: [39][3470/7045]	Time 0.650 (0.248)	Data 0.599 (0.185)	Loss 3.3972 (3.3334)	Prec@1 26.172 (24.916)	Prec@5 50.781 (52.334)
Epoch: [39][3480/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 3.2969 (3.3332)	Prec@1 26.562 (24.919)	Prec@5 50.000 (52.337)
Epoch: [39][3490/7045]	Time 0.647 (0.248)	Data 0.595 (0.185)	Loss 3.1920 (3.3332)	Prec@1 26.562 (24.920)	Prec@5 55.859 (52.338)
Epoch: [39][3500/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 3.3385 (3.3333)	Prec@1 23.047 (24.917)	Prec@5 53.906 (52.337)
Epoch: [39][3510/7045]	Time 0.629 (0.248)	Data 0.572 (0.185)	Loss 3.2662 (3.3330)	Prec@1 26.172 (24.922)	Prec@5 53.516 (52.344)
Epoch: [39][3520/7045]	Time 0.100 (0.248)	Data 0.001 (0.185)	Loss 3.2172 (3.3328)	Prec@1 26.562 (24.929)	Prec@5 54.297 (52.346)
Epoch: [39][3530/7045]	Time 0.616 (0.248)	Data 0.565 (0.185)	Loss 3.2948 (3.3328)	Prec@1 22.266 (24.928)	Prec@5 47.266 (52.346)
Epoch: [39][3540/7045]	Time 0.107 (0.248)	Data 0.055 (0.184)	Loss 3.2726 (3.3328)	Prec@1 27.734 (24.925)	Prec@5 54.297 (52.342)
Epoch: [39][3550/7045]	Time 0.624 (0.248)	Data 0.567 (0.184)	Loss 3.4794 (3.3328)	Prec@1 23.047 (24.926)	Prec@5 47.266 (52.339)
Epoch: [39][3560/7045]	Time 0.147 (0.248)	Data 0.096 (0.184)	Loss 3.1708 (3.3327)	Prec@1 25.781 (24.929)	Prec@5 55.469 (52.339)
Epoch: [39][3570/7045]	Time 0.524 (0.248)	Data 0.466 (0.184)	Loss 3.2773 (3.3328)	Prec@1 28.516 (24.930)	Prec@5 57.031 (52.340)
Epoch: [39][3580/7045]	Time 0.166 (0.248)	Data 0.114 (0.184)	Loss 3.3551 (3.3329)	Prec@1 25.000 (24.928)	Prec@5 55.078 (52.338)
Epoch: [39][3590/7045]	Time 0.570 (0.248)	Data 0.519 (0.184)	Loss 3.2662 (3.3328)	Prec@1 25.781 (24.931)	Prec@5 53.125 (52.338)
Epoch: [39][3600/7045]	Time 0.108 (0.248)	Data 0.056 (0.184)	Loss 3.3841 (3.3326)	Prec@1 21.094 (24.933)	Prec@5 47.656 (52.341)
Epoch: [39][3610/7045]	Time 0.530 (0.248)	Data 0.479 (0.184)	Loss 3.0795 (3.3324)	Prec@1 27.344 (24.935)	Prec@5 58.984 (52.344)
Epoch: [39][3620/7045]	Time 0.102 (0.248)	Data 0.050 (0.184)	Loss 3.1900 (3.3325)	Prec@1 25.781 (24.930)	Prec@5 55.469 (52.341)
Epoch: [39][3630/7045]	Time 0.520 (0.248)	Data 0.469 (0.184)	Loss 3.3983 (3.3326)	Prec@1 22.656 (24.929)	Prec@5 53.125 (52.339)
Epoch: [39][3640/7045]	Time 0.102 (0.248)	Data 0.048 (0.184)	Loss 3.1242 (3.3326)	Prec@1 26.562 (24.928)	Prec@5 58.203 (52.341)
Epoch: [39][3650/7045]	Time 0.662 (0.248)	Data 0.605 (0.184)	Loss 3.4054 (3.3325)	Prec@1 21.875 (24.925)	Prec@5 48.047 (52.339)
Epoch: [39][3660/7045]	Time 0.107 (0.248)	Data 0.008 (0.184)	Loss 3.3610 (3.3323)	Prec@1 24.609 (24.929)	Prec@5 48.438 (52.343)
Epoch: [39][3670/7045]	Time 0.574 (0.248)	Data 0.522 (0.184)	Loss 3.2990 (3.3324)	Prec@1 27.734 (24.926)	Prec@5 55.078 (52.339)
Epoch: [39][3680/7045]	Time 0.108 (0.248)	Data 0.006 (0.184)	Loss 3.3328 (3.3324)	Prec@1 26.172 (24.928)	Prec@5 48.828 (52.339)
Epoch: [39][3690/7045]	Time 0.556 (0.248)	Data 0.504 (0.184)	Loss 3.4080 (3.3324)	Prec@1 23.047 (24.928)	Prec@5 55.469 (52.341)
Epoch: [39][3700/7045]	Time 0.149 (0.248)	Data 0.097 (0.184)	Loss 3.0644 (3.3322)	Prec@1 31.250 (24.933)	Prec@5 60.156 (52.346)
Epoch: [39][3710/7045]	Time 0.362 (0.248)	Data 0.310 (0.184)	Loss 3.1258 (3.3322)	Prec@1 28.125 (24.931)	Prec@5 56.250 (52.347)
Epoch: [39][3720/7045]	Time 0.182 (0.248)	Data 0.131 (0.184)	Loss 3.1632 (3.3320)	Prec@1 24.609 (24.932)	Prec@5 56.641 (52.350)
Epoch: [39][3730/7045]	Time 0.101 (0.248)	Data 0.046 (0.184)	Loss 3.1570 (3.3320)	Prec@1 24.609 (24.933)	Prec@5 57.031 (52.354)
Epoch: [39][3740/7045]	Time 0.165 (0.248)	Data 0.112 (0.184)	Loss 3.2880 (3.3318)	Prec@1 26.172 (24.937)	Prec@5 53.125 (52.359)
Epoch: [39][3750/7045]	Time 0.141 (0.248)	Data 0.082 (0.184)	Loss 3.4551 (3.3317)	Prec@1 19.922 (24.935)	Prec@5 49.609 (52.359)
Epoch: [39][3760/7045]	Time 0.110 (0.248)	Data 0.058 (0.184)	Loss 3.4072 (3.3318)	Prec@1 22.266 (24.933)	Prec@5 48.828 (52.357)
Epoch: [39][3770/7045]	Time 0.279 (0.248)	Data 0.222 (0.184)	Loss 3.2658 (3.3317)	Prec@1 26.172 (24.932)	Prec@5 55.859 (52.363)
Epoch: [39][3780/7045]	Time 0.101 (0.248)	Data 0.003 (0.184)	Loss 3.3658 (3.3316)	Prec@1 24.219 (24.933)	Prec@5 50.000 (52.364)
Epoch: [39][3790/7045]	Time 0.265 (0.248)	Data 0.214 (0.184)	Loss 3.2809 (3.3317)	Prec@1 23.438 (24.931)	Prec@5 56.641 (52.364)
Epoch: [39][3800/7045]	Time 0.230 (0.248)	Data 0.178 (0.184)	Loss 3.1794 (3.3317)	Prec@1 28.125 (24.928)	Prec@5 54.297 (52.361)
Epoch: [39][3810/7045]	Time 0.350 (0.248)	Data 0.293 (0.184)	Loss 3.4329 (3.3318)	Prec@1 23.438 (24.926)	Prec@5 50.000 (52.360)
Epoch: [39][3820/7045]	Time 0.366 (0.248)	Data 0.316 (0.184)	Loss 3.1767 (3.3318)	Prec@1 30.078 (24.925)	Prec@5 55.859 (52.362)
Epoch: [39][3830/7045]	Time 0.322 (0.248)	Data 0.266 (0.184)	Loss 3.2706 (3.3317)	Prec@1 24.219 (24.927)	Prec@5 51.953 (52.364)
Epoch: [39][3840/7045]	Time 0.352 (0.248)	Data 0.301 (0.184)	Loss 3.4739 (3.3316)	Prec@1 26.562 (24.931)	Prec@5 54.297 (52.365)
Epoch: [39][3850/7045]	Time 0.373 (0.248)	Data 0.322 (0.184)	Loss 3.4310 (3.3317)	Prec@1 24.609 (24.930)	Prec@5 50.000 (52.363)
Epoch: [39][3860/7045]	Time 0.360 (0.248)	Data 0.309 (0.184)	Loss 3.3912 (3.3319)	Prec@1 23.828 (24.924)	Prec@5 54.297 (52.360)
Epoch: [39][3870/7045]	Time 0.320 (0.248)	Data 0.263 (0.184)	Loss 3.5386 (3.3322)	Prec@1 23.047 (24.921)	Prec@5 48.438 (52.355)
Epoch: [39][3880/7045]	Time 0.348 (0.247)	Data 0.298 (0.184)	Loss 3.3228 (3.3321)	Prec@1 27.344 (24.921)	Prec@5 52.344 (52.353)
Epoch: [39][3890/7045]	Time 0.356 (0.247)	Data 0.305 (0.184)	Loss 3.1674 (3.3321)	Prec@1 28.906 (24.924)	Prec@5 55.078 (52.355)
Epoch: [39][3900/7045]	Time 0.171 (0.247)	Data 0.119 (0.184)	Loss 3.2249 (3.3321)	Prec@1 23.438 (24.926)	Prec@5 53.906 (52.354)
Epoch: [39][3910/7045]	Time 0.351 (0.247)	Data 0.300 (0.184)	Loss 3.1344 (3.3320)	Prec@1 29.688 (24.930)	Prec@5 55.078 (52.358)
Epoch: [39][3920/7045]	Time 0.163 (0.247)	Data 0.108 (0.184)	Loss 3.4821 (3.3321)	Prec@1 23.438 (24.928)	Prec@5 48.438 (52.357)
Epoch: [39][3930/7045]	Time 0.371 (0.247)	Data 0.320 (0.184)	Loss 3.2583 (3.3319)	Prec@1 28.516 (24.931)	Prec@5 56.641 (52.361)
Epoch: [39][3940/7045]	Time 0.233 (0.247)	Data 0.181 (0.184)	Loss 3.2770 (3.3318)	Prec@1 27.734 (24.934)	Prec@5 53.906 (52.363)
Epoch: [39][3950/7045]	Time 0.379 (0.247)	Data 0.327 (0.184)	Loss 3.2703 (3.3319)	Prec@1 25.000 (24.936)	Prec@5 51.953 (52.365)
Epoch: [39][3960/7045]	Time 0.238 (0.247)	Data 0.186 (0.184)	Loss 3.2423 (3.3317)	Prec@1 27.344 (24.936)	Prec@5 52.734 (52.369)
Epoch: [39][3970/7045]	Time 0.427 (0.247)	Data 0.376 (0.184)	Loss 3.5214 (3.3316)	Prec@1 21.094 (24.936)	Prec@5 50.000 (52.373)
Epoch: [39][3980/7045]	Time 0.257 (0.247)	Data 0.206 (0.184)	Loss 3.3543 (3.3317)	Prec@1 22.266 (24.936)	Prec@5 55.078 (52.374)
Epoch: [39][3990/7045]	Time 0.454 (0.247)	Data 0.402 (0.184)	Loss 3.5390 (3.3316)	Prec@1 17.188 (24.935)	Prec@5 46.484 (52.374)
Epoch: [39][4000/7045]	Time 0.250 (0.247)	Data 0.196 (0.184)	Loss 3.2109 (3.3316)	Prec@1 25.391 (24.935)	Prec@5 57.812 (52.375)
Epoch: [39][4010/7045]	Time 0.354 (0.247)	Data 0.303 (0.184)	Loss 3.2373 (3.3315)	Prec@1 26.172 (24.936)	Prec@5 53.906 (52.376)
Epoch: [39][4020/7045]	Time 0.293 (0.247)	Data 0.243 (0.184)	Loss 3.4496 (3.3314)	Prec@1 20.703 (24.936)	Prec@5 51.953 (52.378)
Epoch: [39][4030/7045]	Time 0.324 (0.247)	Data 0.272 (0.184)	Loss 3.2013 (3.3313)	Prec@1 23.047 (24.939)	Prec@5 56.250 (52.381)
Epoch: [39][4040/7045]	Time 0.238 (0.247)	Data 0.185 (0.184)	Loss 3.2039 (3.3313)	Prec@1 26.953 (24.938)	Prec@5 54.297 (52.381)
Epoch: [39][4050/7045]	Time 0.339 (0.247)	Data 0.289 (0.184)	Loss 3.1964 (3.3313)	Prec@1 23.438 (24.935)	Prec@5 55.078 (52.383)
Epoch: [39][4060/7045]	Time 0.260 (0.247)	Data 0.207 (0.184)	Loss 3.4048 (3.3312)	Prec@1 21.875 (24.938)	Prec@5 50.000 (52.384)
Epoch: [39][4070/7045]	Time 0.387 (0.247)	Data 0.337 (0.184)	Loss 3.2947 (3.3311)	Prec@1 25.000 (24.938)	Prec@5 53.906 (52.387)
Epoch: [39][4080/7045]	Time 0.285 (0.247)	Data 0.234 (0.184)	Loss 3.3114 (3.3311)	Prec@1 26.953 (24.940)	Prec@5 54.688 (52.386)
Epoch: [39][4090/7045]	Time 0.353 (0.247)	Data 0.301 (0.184)	Loss 3.3011 (3.3310)	Prec@1 22.656 (24.938)	Prec@5 49.609 (52.385)
Epoch: [39][4100/7045]	Time 0.180 (0.247)	Data 0.131 (0.184)	Loss 3.3740 (3.3310)	Prec@1 26.172 (24.939)	Prec@5 49.609 (52.387)
Epoch: [39][4110/7045]	Time 0.401 (0.247)	Data 0.351 (0.184)	Loss 3.3926 (3.3310)	Prec@1 23.438 (24.940)	Prec@5 48.438 (52.386)
Epoch: [39][4120/7045]	Time 0.198 (0.247)	Data 0.146 (0.184)	Loss 3.2733 (3.3309)	Prec@1 23.047 (24.939)	Prec@5 53.125 (52.389)
Epoch: [39][4130/7045]	Time 0.419 (0.247)	Data 0.367 (0.184)	Loss 3.3529 (3.3309)	Prec@1 22.266 (24.938)	Prec@5 52.344 (52.388)
Epoch: [39][4140/7045]	Time 0.257 (0.247)	Data 0.206 (0.184)	Loss 3.4581 (3.3309)	Prec@1 21.094 (24.936)	Prec@5 49.219 (52.386)
Epoch: [39][4150/7045]	Time 0.394 (0.247)	Data 0.343 (0.184)	Loss 3.3534 (3.3309)	Prec@1 27.344 (24.937)	Prec@5 53.516 (52.388)
Epoch: [39][4160/7045]	Time 0.233 (0.247)	Data 0.182 (0.184)	Loss 3.1884 (3.3308)	Prec@1 29.688 (24.935)	Prec@5 54.688 (52.390)
Epoch: [39][4170/7045]	Time 0.399 (0.247)	Data 0.348 (0.184)	Loss 3.1299 (3.3307)	Prec@1 28.516 (24.934)	Prec@5 55.859 (52.387)
Epoch: [39][4180/7045]	Time 0.174 (0.247)	Data 0.122 (0.184)	Loss 3.1765 (3.3306)	Prec@1 26.953 (24.936)	Prec@5 55.859 (52.388)
Epoch: [39][4190/7045]	Time 0.285 (0.247)	Data 0.235 (0.184)	Loss 3.2479 (3.3305)	Prec@1 25.391 (24.937)	Prec@5 54.297 (52.390)
Epoch: [39][4200/7045]	Time 0.149 (0.247)	Data 0.097 (0.183)	Loss 3.3043 (3.3305)	Prec@1 26.172 (24.940)	Prec@5 53.516 (52.392)
Epoch: [39][4210/7045]	Time 0.286 (0.247)	Data 0.235 (0.184)	Loss 3.1875 (3.3305)	Prec@1 27.734 (24.939)	Prec@5 55.469 (52.393)
Epoch: [39][4220/7045]	Time 0.220 (0.247)	Data 0.168 (0.183)	Loss 3.2373 (3.3304)	Prec@1 26.172 (24.941)	Prec@5 59.375 (52.396)
Epoch: [39][4230/7045]	Time 0.263 (0.247)	Data 0.211 (0.183)	Loss 3.1961 (3.3303)	Prec@1 29.688 (24.942)	Prec@5 56.250 (52.400)
Epoch: [39][4240/7045]	Time 0.198 (0.247)	Data 0.146 (0.183)	Loss 3.5744 (3.3304)	Prec@1 19.922 (24.940)	Prec@5 44.141 (52.398)
Epoch: [39][4250/7045]	Time 0.204 (0.247)	Data 0.153 (0.183)	Loss 3.3790 (3.3305)	Prec@1 23.828 (24.938)	Prec@5 53.125 (52.396)
Epoch: [39][4260/7045]	Time 0.178 (0.247)	Data 0.128 (0.183)	Loss 3.1706 (3.3303)	Prec@1 26.953 (24.940)	Prec@5 55.859 (52.405)
Epoch: [39][4270/7045]	Time 0.187 (0.247)	Data 0.129 (0.183)	Loss 3.1353 (3.3301)	Prec@1 26.562 (24.942)	Prec@5 56.641 (52.410)
Epoch: [39][4280/7045]	Time 0.126 (0.247)	Data 0.073 (0.183)	Loss 3.3244 (3.3300)	Prec@1 25.781 (24.943)	Prec@5 47.266 (52.409)
Epoch: [39][4290/7045]	Time 0.232 (0.247)	Data 0.177 (0.183)	Loss 3.5666 (3.3299)	Prec@1 19.922 (24.943)	Prec@5 49.609 (52.412)
Epoch: [39][4300/7045]	Time 0.180 (0.247)	Data 0.128 (0.183)	Loss 3.3966 (3.3298)	Prec@1 21.094 (24.943)	Prec@5 55.078 (52.418)
Epoch: [39][4310/7045]	Time 0.112 (0.247)	Data 0.060 (0.183)	Loss 3.2382 (3.3300)	Prec@1 27.344 (24.937)	Prec@5 53.125 (52.412)
Epoch: [39][4320/7045]	Time 0.102 (0.247)	Data 0.050 (0.183)	Loss 3.1284 (3.3298)	Prec@1 30.078 (24.939)	Prec@5 55.859 (52.417)
Epoch: [39][4330/7045]	Time 0.101 (0.247)	Data 0.004 (0.183)	Loss 3.0787 (3.3296)	Prec@1 30.469 (24.941)	Prec@5 57.031 (52.421)
Epoch: [39][4340/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 3.3511 (3.3296)	Prec@1 24.219 (24.942)	Prec@5 47.266 (52.422)
Epoch: [39][4350/7045]	Time 0.116 (0.247)	Data 0.058 (0.183)	Loss 3.4233 (3.3298)	Prec@1 27.344 (24.940)	Prec@5 52.344 (52.419)
Epoch: [39][4360/7045]	Time 0.111 (0.247)	Data 0.060 (0.183)	Loss 3.2967 (3.3300)	Prec@1 24.609 (24.937)	Prec@5 54.297 (52.415)
Epoch: [39][4370/7045]	Time 0.227 (0.247)	Data 0.175 (0.183)	Loss 3.3006 (3.3299)	Prec@1 26.172 (24.937)	Prec@5 50.781 (52.415)
Epoch: [39][4380/7045]	Time 0.298 (0.247)	Data 0.247 (0.183)	Loss 2.9960 (3.3299)	Prec@1 30.078 (24.938)	Prec@5 60.156 (52.418)
Epoch: [39][4390/7045]	Time 0.201 (0.247)	Data 0.145 (0.183)	Loss 3.4674 (3.3302)	Prec@1 19.922 (24.933)	Prec@5 50.000 (52.413)
Epoch: [39][4400/7045]	Time 0.495 (0.247)	Data 0.445 (0.183)	Loss 3.2756 (3.3299)	Prec@1 26.172 (24.935)	Prec@5 55.469 (52.419)
Epoch: [39][4410/7045]	Time 0.146 (0.247)	Data 0.095 (0.183)	Loss 3.1558 (3.3298)	Prec@1 28.125 (24.935)	Prec@5 55.469 (52.421)
Epoch: [39][4420/7045]	Time 0.601 (0.247)	Data 0.550 (0.183)	Loss 3.3528 (3.3298)	Prec@1 29.297 (24.938)	Prec@5 54.297 (52.422)
Epoch: [39][4430/7045]	Time 0.102 (0.247)	Data 0.005 (0.183)	Loss 3.4956 (3.3297)	Prec@1 25.391 (24.940)	Prec@5 49.219 (52.426)
Epoch: [39][4440/7045]	Time 0.491 (0.247)	Data 0.440 (0.183)	Loss 3.2180 (3.3298)	Prec@1 26.172 (24.938)	Prec@5 55.469 (52.424)
Epoch: [39][4450/7045]	Time 0.103 (0.247)	Data 0.051 (0.183)	Loss 3.3533 (3.3299)	Prec@1 21.484 (24.936)	Prec@5 51.953 (52.423)
Epoch: [39][4460/7045]	Time 0.421 (0.247)	Data 0.370 (0.183)	Loss 3.3003 (3.3298)	Prec@1 22.656 (24.936)	Prec@5 51.953 (52.426)
Epoch: [39][4470/7045]	Time 0.103 (0.246)	Data 0.010 (0.183)	Loss 3.5122 (3.3298)	Prec@1 23.828 (24.936)	Prec@5 55.078 (52.429)
Epoch: [39][4480/7045]	Time 0.221 (0.246)	Data 0.169 (0.183)	Loss 3.5269 (3.3299)	Prec@1 20.312 (24.936)	Prec@5 48.047 (52.430)
Epoch: [39][4490/7045]	Time 0.102 (0.246)	Data 0.003 (0.183)	Loss 3.3841 (3.3299)	Prec@1 25.000 (24.935)	Prec@5 51.953 (52.431)
Epoch: [39][4500/7045]	Time 0.107 (0.246)	Data 0.001 (0.183)	Loss 3.4057 (3.3299)	Prec@1 23.438 (24.935)	Prec@5 50.781 (52.431)
Epoch: [39][4510/7045]	Time 0.103 (0.246)	Data 0.001 (0.183)	Loss 3.4464 (3.3297)	Prec@1 25.781 (24.939)	Prec@5 51.562 (52.436)
Epoch: [39][4520/7045]	Time 0.101 (0.246)	Data 0.005 (0.183)	Loss 3.3765 (3.3298)	Prec@1 24.609 (24.939)	Prec@5 49.609 (52.434)
Epoch: [39][4530/7045]	Time 0.102 (0.246)	Data 0.003 (0.183)	Loss 3.4949 (3.3297)	Prec@1 19.531 (24.939)	Prec@5 49.609 (52.437)
Epoch: [39][4540/7045]	Time 0.102 (0.246)	Data 0.008 (0.183)	Loss 3.3881 (3.3298)	Prec@1 22.656 (24.935)	Prec@5 49.609 (52.434)
Epoch: [39][4550/7045]	Time 0.102 (0.246)	Data 0.007 (0.183)	Loss 3.2727 (3.3297)	Prec@1 27.734 (24.937)	Prec@5 54.297 (52.434)
Epoch: [39][4560/7045]	Time 0.102 (0.246)	Data 0.004 (0.183)	Loss 3.4104 (3.3298)	Prec@1 21.484 (24.935)	Prec@5 51.562 (52.436)
Epoch: [39][4570/7045]	Time 0.102 (0.246)	Data 0.001 (0.183)	Loss 3.4202 (3.3297)	Prec@1 24.609 (24.935)	Prec@5 48.438 (52.438)
Epoch: [39][4580/7045]	Time 0.102 (0.246)	Data 0.007 (0.183)	Loss 3.3151 (3.3297)	Prec@1 23.047 (24.933)	Prec@5 50.781 (52.439)
Epoch: [39][4590/7045]	Time 0.102 (0.246)	Data 0.007 (0.183)	Loss 3.2341 (3.3296)	Prec@1 20.312 (24.933)	Prec@5 55.469 (52.443)
Epoch: [39][4600/7045]	Time 0.143 (0.246)	Data 0.092 (0.183)	Loss 3.1709 (3.3295)	Prec@1 25.000 (24.934)	Prec@5 53.906 (52.444)
Epoch: [39][4610/7045]	Time 0.102 (0.246)	Data 0.006 (0.183)	Loss 3.1671 (3.3294)	Prec@1 24.219 (24.932)	Prec@5 57.422 (52.448)
Epoch: [39][4620/7045]	Time 0.102 (0.246)	Data 0.003 (0.183)	Loss 3.5301 (3.3294)	Prec@1 20.703 (24.930)	Prec@5 45.703 (52.447)
Epoch: [39][4630/7045]	Time 0.102 (0.246)	Data 0.004 (0.183)	Loss 3.4989 (3.3295)	Prec@1 21.484 (24.931)	Prec@5 48.828 (52.445)
Epoch: [39][4640/7045]	Time 0.102 (0.246)	Data 0.050 (0.183)	Loss 3.2220 (3.3295)	Prec@1 26.953 (24.928)	Prec@5 58.594 (52.444)
Epoch: [39][4650/7045]	Time 0.102 (0.246)	Data 0.006 (0.183)	Loss 3.3457 (3.3296)	Prec@1 25.000 (24.930)	Prec@5 51.953 (52.444)
Epoch: [39][4660/7045]	Time 0.102 (0.246)	Data 0.005 (0.183)	Loss 3.3355 (3.3296)	Prec@1 25.000 (24.931)	Prec@5 51.562 (52.442)
Epoch: [39][4670/7045]	Time 0.102 (0.246)	Data 0.002 (0.183)	Loss 3.3444 (3.3295)	Prec@1 26.953 (24.933)	Prec@5 49.219 (52.444)
Epoch: [39][4680/7045]	Time 0.101 (0.246)	Data 0.005 (0.182)	Loss 3.1314 (3.3296)	Prec@1 25.000 (24.930)	Prec@5 60.547 (52.443)
Epoch: [39][4690/7045]	Time 0.101 (0.246)	Data 0.045 (0.182)	Loss 3.3292 (3.3297)	Prec@1 26.953 (24.928)	Prec@5 51.172 (52.441)
Epoch: [39][4700/7045]	Time 0.109 (0.246)	Data 0.056 (0.182)	Loss 3.2502 (3.3297)	Prec@1 24.219 (24.929)	Prec@5 55.469 (52.440)
Epoch: [39][4710/7045]	Time 0.101 (0.246)	Data 0.003 (0.182)	Loss 3.3282 (3.3297)	Prec@1 24.609 (24.929)	Prec@5 53.906 (52.440)
Epoch: [39][4720/7045]	Time 0.116 (0.246)	Data 0.064 (0.182)	Loss 3.3682 (3.3296)	Prec@1 19.922 (24.928)	Prec@5 51.562 (52.442)
Epoch: [39][4730/7045]	Time 0.101 (0.246)	Data 0.006 (0.182)	Loss 3.3777 (3.3297)	Prec@1 21.094 (24.927)	Prec@5 49.609 (52.439)
Epoch: [39][4740/7045]	Time 0.101 (0.246)	Data 0.047 (0.182)	Loss 3.0814 (3.3297)	Prec@1 32.031 (24.930)	Prec@5 57.812 (52.439)
Epoch: [39][4750/7045]	Time 0.101 (0.246)	Data 0.003 (0.182)	Loss 3.3311 (3.3296)	Prec@1 27.344 (24.930)	Prec@5 55.078 (52.442)
Epoch: [39][4760/7045]	Time 0.124 (0.246)	Data 0.074 (0.182)	Loss 3.5144 (3.3296)	Prec@1 21.875 (24.931)	Prec@5 50.000 (52.443)
Epoch: [39][4770/7045]	Time 0.102 (0.246)	Data 0.003 (0.182)	Loss 3.2349 (3.3294)	Prec@1 27.734 (24.933)	Prec@5 57.422 (52.446)
Epoch: [39][4780/7045]	Time 0.102 (0.246)	Data 0.004 (0.182)	Loss 3.3679 (3.3293)	Prec@1 26.172 (24.936)	Prec@5 50.391 (52.450)
Epoch: [39][4790/7045]	Time 0.101 (0.246)	Data 0.049 (0.182)	Loss 3.1347 (3.3291)	Prec@1 24.609 (24.937)	Prec@5 56.250 (52.451)
Epoch: [39][4800/7045]	Time 0.102 (0.246)	Data 0.003 (0.182)	Loss 3.1300 (3.3292)	Prec@1 28.906 (24.936)	Prec@5 52.734 (52.449)
Epoch: [39][4810/7045]	Time 0.102 (0.246)	Data 0.045 (0.182)	Loss 3.1623 (3.3292)	Prec@1 26.172 (24.937)	Prec@5 58.594 (52.451)
Epoch: [39][4820/7045]	Time 0.102 (0.246)	Data 0.048 (0.182)	Loss 3.5324 (3.3291)	Prec@1 20.703 (24.936)	Prec@5 51.562 (52.453)
Epoch: [39][4830/7045]	Time 0.102 (0.246)	Data 0.006 (0.182)	Loss 3.3396 (3.3293)	Prec@1 27.344 (24.934)	Prec@5 52.734 (52.451)
Epoch: [39][4840/7045]	Time 0.109 (0.246)	Data 0.057 (0.182)	Loss 3.4207 (3.3292)	Prec@1 23.828 (24.934)	Prec@5 51.172 (52.452)
Epoch: [39][4850/7045]	Time 0.102 (0.246)	Data 0.001 (0.182)	Loss 3.4043 (3.3293)	Prec@1 22.266 (24.933)	Prec@5 51.172 (52.452)
Epoch: [39][4860/7045]	Time 0.178 (0.246)	Data 0.127 (0.182)	Loss 3.1580 (3.3292)	Prec@1 29.297 (24.932)	Prec@5 53.516 (52.451)
Epoch: [39][4870/7045]	Time 0.100 (0.246)	Data 0.002 (0.182)	Loss 3.3315 (3.3292)	Prec@1 21.094 (24.933)	Prec@5 53.516 (52.454)
Epoch: [39][4880/7045]	Time 0.109 (0.246)	Data 0.057 (0.182)	Loss 3.4497 (3.3293)	Prec@1 18.359 (24.932)	Prec@5 52.344 (52.453)
Epoch: [39][4890/7045]	Time 0.101 (0.246)	Data 0.003 (0.182)	Loss 3.3954 (3.3292)	Prec@1 26.562 (24.933)	Prec@5 55.469 (52.454)
Epoch: [39][4900/7045]	Time 0.162 (0.246)	Data 0.112 (0.182)	Loss 3.2643 (3.3292)	Prec@1 27.344 (24.931)	Prec@5 53.516 (52.453)
Epoch: [39][4910/7045]	Time 0.101 (0.246)	Data 0.004 (0.182)	Loss 3.3539 (3.3293)	Prec@1 25.781 (24.931)	Prec@5 48.438 (52.450)
Epoch: [39][4920/7045]	Time 0.262 (0.246)	Data 0.211 (0.182)	Loss 3.2911 (3.3293)	Prec@1 23.438 (24.932)	Prec@5 54.688 (52.450)
Epoch: [39][4930/7045]	Time 0.103 (0.246)	Data 0.007 (0.182)	Loss 3.2918 (3.3293)	Prec@1 26.562 (24.931)	Prec@5 55.078 (52.451)
Epoch: [39][4940/7045]	Time 0.320 (0.246)	Data 0.262 (0.182)	Loss 3.3745 (3.3294)	Prec@1 29.297 (24.930)	Prec@5 53.906 (52.450)
Epoch: [39][4950/7045]	Time 0.103 (0.246)	Data 0.001 (0.182)	Loss 3.2390 (3.3293)	Prec@1 24.609 (24.929)	Prec@5 53.516 (52.453)
Epoch: [39][4960/7045]	Time 0.385 (0.246)	Data 0.335 (0.182)	Loss 3.3004 (3.3292)	Prec@1 26.172 (24.931)	Prec@5 52.734 (52.453)
Epoch: [39][4970/7045]	Time 0.102 (0.246)	Data 0.001 (0.182)	Loss 3.2217 (3.3291)	Prec@1 27.344 (24.934)	Prec@5 57.812 (52.454)
Epoch: [39][4980/7045]	Time 0.351 (0.246)	Data 0.300 (0.182)	Loss 3.4076 (3.3291)	Prec@1 23.828 (24.934)	Prec@5 51.562 (52.456)
Epoch: [39][4990/7045]	Time 0.102 (0.246)	Data 0.001 (0.182)	Loss 3.3821 (3.3290)	Prec@1 20.703 (24.933)	Prec@5 53.516 (52.457)
Epoch: [39][5000/7045]	Time 0.345 (0.246)	Data 0.294 (0.182)	Loss 3.3571 (3.3289)	Prec@1 26.562 (24.934)	Prec@5 54.297 (52.461)
Epoch: [39][5010/7045]	Time 0.106 (0.246)	Data 0.054 (0.182)	Loss 3.3843 (3.3289)	Prec@1 25.781 (24.936)	Prec@5 53.516 (52.461)
Epoch: [39][5020/7045]	Time 0.317 (0.246)	Data 0.267 (0.182)	Loss 3.2102 (3.3289)	Prec@1 27.344 (24.937)	Prec@5 55.859 (52.461)
Epoch: [39][5030/7045]	Time 0.257 (0.246)	Data 0.207 (0.182)	Loss 3.1997 (3.3290)	Prec@1 26.172 (24.934)	Prec@5 55.469 (52.458)
Epoch: [39][5040/7045]	Time 0.367 (0.246)	Data 0.315 (0.182)	Loss 3.1097 (3.3289)	Prec@1 28.125 (24.938)	Prec@5 55.859 (52.460)
Epoch: [39][5050/7045]	Time 0.556 (0.246)	Data 0.505 (0.182)	Loss 3.5852 (3.3289)	Prec@1 20.703 (24.936)	Prec@5 46.875 (52.460)
Epoch: [39][5060/7045]	Time 0.222 (0.246)	Data 0.171 (0.182)	Loss 3.1729 (3.3289)	Prec@1 25.781 (24.936)	Prec@5 52.344 (52.459)
Epoch: [39][5070/7045]	Time 0.517 (0.246)	Data 0.467 (0.182)	Loss 3.3891 (3.3289)	Prec@1 24.219 (24.936)	Prec@5 54.297 (52.458)
Epoch: [39][5080/7045]	Time 0.102 (0.246)	Data 0.004 (0.182)	Loss 3.3149 (3.3290)	Prec@1 26.172 (24.934)	Prec@5 55.469 (52.459)
Epoch: [39][5090/7045]	Time 0.407 (0.246)	Data 0.356 (0.182)	Loss 3.2198 (3.3289)	Prec@1 28.516 (24.936)	Prec@5 55.078 (52.460)
Epoch: [39][5100/7045]	Time 0.102 (0.246)	Data 0.046 (0.182)	Loss 3.1957 (3.3288)	Prec@1 27.344 (24.938)	Prec@5 56.250 (52.461)
Epoch: [39][5110/7045]	Time 0.344 (0.246)	Data 0.292 (0.182)	Loss 3.2080 (3.3288)	Prec@1 26.172 (24.939)	Prec@5 53.906 (52.462)
Epoch: [39][5120/7045]	Time 0.100 (0.246)	Data 0.046 (0.182)	Loss 3.4020 (3.3286)	Prec@1 19.922 (24.939)	Prec@5 46.094 (52.465)
Epoch: [39][5130/7045]	Time 0.108 (0.246)	Data 0.056 (0.182)	Loss 3.4452 (3.3286)	Prec@1 27.344 (24.941)	Prec@5 53.125 (52.466)
Epoch: [39][5140/7045]	Time 0.167 (0.246)	Data 0.117 (0.182)	Loss 3.0186 (3.3285)	Prec@1 28.125 (24.942)	Prec@5 56.641 (52.470)
Epoch: [39][5150/7045]	Time 0.180 (0.246)	Data 0.128 (0.182)	Loss 3.2384 (3.3285)	Prec@1 25.391 (24.941)	Prec@5 51.953 (52.472)
Epoch: [39][5160/7045]	Time 0.106 (0.246)	Data 0.054 (0.182)	Loss 3.1319 (3.3285)	Prec@1 29.297 (24.941)	Prec@5 57.812 (52.472)
Epoch: [39][5170/7045]	Time 0.327 (0.246)	Data 0.269 (0.182)	Loss 3.2280 (3.3284)	Prec@1 27.734 (24.943)	Prec@5 56.250 (52.474)
Epoch: [39][5180/7045]	Time 0.102 (0.246)	Data 0.001 (0.182)	Loss 3.4206 (3.3284)	Prec@1 19.141 (24.942)	Prec@5 50.391 (52.475)
Epoch: [39][5190/7045]	Time 0.303 (0.246)	Data 0.252 (0.182)	Loss 3.2892 (3.3284)	Prec@1 26.172 (24.943)	Prec@5 54.688 (52.474)
Epoch: [39][5200/7045]	Time 0.254 (0.246)	Data 0.202 (0.182)	Loss 3.2842 (3.3282)	Prec@1 22.656 (24.946)	Prec@5 50.000 (52.477)
Epoch: [39][5210/7045]	Time 0.276 (0.246)	Data 0.225 (0.182)	Loss 3.4098 (3.3282)	Prec@1 25.781 (24.945)	Prec@5 50.391 (52.478)
Epoch: [39][5220/7045]	Time 0.427 (0.246)	Data 0.378 (0.182)	Loss 3.0934 (3.3281)	Prec@1 27.734 (24.948)	Prec@5 56.641 (52.480)
Epoch: [39][5230/7045]	Time 0.211 (0.246)	Data 0.160 (0.182)	Loss 3.3397 (3.3281)	Prec@1 25.781 (24.949)	Prec@5 54.297 (52.481)
Epoch: [39][5240/7045]	Time 0.534 (0.246)	Data 0.482 (0.182)	Loss 3.3512 (3.3281)	Prec@1 22.656 (24.946)	Prec@5 50.781 (52.481)
Epoch: [39][5250/7045]	Time 0.107 (0.246)	Data 0.001 (0.182)	Loss 3.4092 (3.3281)	Prec@1 20.703 (24.946)	Prec@5 50.781 (52.479)
Epoch: [39][5260/7045]	Time 0.492 (0.246)	Data 0.442 (0.182)	Loss 3.2851 (3.3280)	Prec@1 22.656 (24.947)	Prec@5 49.609 (52.481)
Epoch: [39][5270/7045]	Time 0.313 (0.246)	Data 0.263 (0.182)	Loss 3.3559 (3.3281)	Prec@1 26.562 (24.947)	Prec@5 53.906 (52.479)
Epoch: [39][5280/7045]	Time 0.346 (0.246)	Data 0.296 (0.182)	Loss 3.1983 (3.3282)	Prec@1 26.953 (24.946)	Prec@5 58.984 (52.478)
Epoch: [39][5290/7045]	Time 0.295 (0.246)	Data 0.244 (0.182)	Loss 3.3104 (3.3282)	Prec@1 24.219 (24.945)	Prec@5 49.609 (52.478)
Epoch: [39][5300/7045]	Time 0.105 (0.246)	Data 0.052 (0.182)	Loss 3.3831 (3.3282)	Prec@1 26.562 (24.947)	Prec@5 50.781 (52.480)
Epoch: [39][5310/7045]	Time 0.329 (0.246)	Data 0.278 (0.182)	Loss 3.5911 (3.3283)	Prec@1 19.922 (24.947)	Prec@5 47.266 (52.476)
Epoch: [39][5320/7045]	Time 0.201 (0.246)	Data 0.146 (0.182)	Loss 3.1315 (3.3282)	Prec@1 26.562 (24.948)	Prec@5 56.641 (52.478)
Epoch: [39][5330/7045]	Time 0.141 (0.245)	Data 0.090 (0.182)	Loss 3.3981 (3.3281)	Prec@1 25.781 (24.951)	Prec@5 53.906 (52.479)
Epoch: [39][5340/7045]	Time 0.102 (0.246)	Data 0.005 (0.182)	Loss 3.6059 (3.3280)	Prec@1 19.531 (24.952)	Prec@5 47.266 (52.481)
Epoch: [39][5350/7045]	Time 0.169 (0.245)	Data 0.118 (0.182)	Loss 3.3622 (3.3280)	Prec@1 24.609 (24.954)	Prec@5 51.953 (52.480)
Epoch: [39][5360/7045]	Time 0.314 (0.246)	Data 0.264 (0.182)	Loss 3.2475 (3.3280)	Prec@1 27.344 (24.956)	Prec@5 50.781 (52.480)
Epoch: [39][5370/7045]	Time 0.100 (0.245)	Data 0.007 (0.182)	Loss 3.1756 (3.3280)	Prec@1 26.562 (24.956)	Prec@5 57.812 (52.482)
Epoch: [39][5380/7045]	Time 0.461 (0.246)	Data 0.410 (0.182)	Loss 3.3007 (3.3279)	Prec@1 22.266 (24.956)	Prec@5 53.906 (52.484)
Epoch: [39][5390/7045]	Time 0.113 (0.245)	Data 0.062 (0.182)	Loss 3.3386 (3.3277)	Prec@1 27.344 (24.957)	Prec@5 53.906 (52.487)
Epoch: [39][5400/7045]	Time 0.652 (0.246)	Data 0.601 (0.182)	Loss 3.2340 (3.3277)	Prec@1 25.781 (24.958)	Prec@5 53.516 (52.485)
Epoch: [39][5410/7045]	Time 0.218 (0.246)	Data 0.168 (0.182)	Loss 3.3387 (3.3277)	Prec@1 28.516 (24.957)	Prec@5 51.953 (52.484)
Epoch: [39][5420/7045]	Time 0.461 (0.246)	Data 0.411 (0.182)	Loss 3.2267 (3.3276)	Prec@1 29.297 (24.960)	Prec@5 54.297 (52.485)
Epoch: [39][5430/7045]	Time 0.174 (0.245)	Data 0.124 (0.182)	Loss 3.3106 (3.3276)	Prec@1 25.000 (24.958)	Prec@5 51.562 (52.485)
Epoch: [39][5440/7045]	Time 0.233 (0.245)	Data 0.182 (0.182)	Loss 3.1951 (3.3274)	Prec@1 26.953 (24.962)	Prec@5 55.078 (52.492)
Epoch: [39][5450/7045]	Time 0.215 (0.245)	Data 0.164 (0.182)	Loss 3.4834 (3.3273)	Prec@1 26.172 (24.965)	Prec@5 51.953 (52.493)
Epoch: [39][5460/7045]	Time 0.102 (0.245)	Data 0.005 (0.182)	Loss 3.3692 (3.3272)	Prec@1 26.562 (24.967)	Prec@5 52.734 (52.494)
Epoch: [39][5470/7045]	Time 0.255 (0.245)	Data 0.204 (0.182)	Loss 3.2059 (3.3271)	Prec@1 24.219 (24.970)	Prec@5 57.422 (52.496)
Epoch: [39][5480/7045]	Time 0.107 (0.245)	Data 0.006 (0.182)	Loss 3.2817 (3.3271)	Prec@1 26.953 (24.971)	Prec@5 56.250 (52.499)
Epoch: [39][5490/7045]	Time 0.295 (0.245)	Data 0.244 (0.182)	Loss 3.5986 (3.3272)	Prec@1 20.703 (24.970)	Prec@5 48.047 (52.500)
Epoch: [39][5500/7045]	Time 0.102 (0.245)	Data 0.007 (0.182)	Loss 3.2541 (3.3272)	Prec@1 28.125 (24.970)	Prec@5 54.297 (52.503)
Epoch: [39][5510/7045]	Time 0.267 (0.245)	Data 0.216 (0.182)	Loss 3.3576 (3.3270)	Prec@1 21.484 (24.970)	Prec@5 51.562 (52.505)
Epoch: [39][5520/7045]	Time 0.109 (0.245)	Data 0.007 (0.182)	Loss 3.1313 (3.3269)	Prec@1 27.734 (24.973)	Prec@5 56.641 (52.507)
Epoch: [39][5530/7045]	Time 0.295 (0.245)	Data 0.243 (0.182)	Loss 3.2530 (3.3270)	Prec@1 28.125 (24.973)	Prec@5 55.859 (52.505)
Epoch: [39][5540/7045]	Time 0.108 (0.245)	Data 0.006 (0.182)	Loss 3.2391 (3.3269)	Prec@1 25.000 (24.975)	Prec@5 53.516 (52.504)
Epoch: [39][5550/7045]	Time 0.300 (0.245)	Data 0.250 (0.182)	Loss 3.3013 (3.3269)	Prec@1 26.172 (24.975)	Prec@5 53.516 (52.504)
Epoch: [39][5560/7045]	Time 0.108 (0.245)	Data 0.008 (0.182)	Loss 3.2986 (3.3269)	Prec@1 29.688 (24.975)	Prec@5 52.344 (52.502)
Epoch: [39][5570/7045]	Time 0.299 (0.245)	Data 0.248 (0.182)	Loss 3.2250 (3.3269)	Prec@1 23.828 (24.975)	Prec@5 55.078 (52.506)
Epoch: [39][5580/7045]	Time 0.099 (0.245)	Data 0.013 (0.182)	Loss 3.3394 (3.3269)	Prec@1 20.703 (24.973)	Prec@5 52.344 (52.505)
Epoch: [39][5590/7045]	Time 0.213 (0.245)	Data 0.162 (0.182)	Loss 3.2601 (3.3269)	Prec@1 27.734 (24.973)	Prec@5 55.469 (52.505)
Epoch: [39][5600/7045]	Time 0.131 (0.245)	Data 0.071 (0.182)	Loss 3.5148 (3.3270)	Prec@1 20.703 (24.971)	Prec@5 48.047 (52.502)
Epoch: [39][5610/7045]	Time 0.186 (0.245)	Data 0.135 (0.182)	Loss 3.4687 (3.3270)	Prec@1 22.656 (24.970)	Prec@5 51.562 (52.502)
Epoch: [39][5620/7045]	Time 0.224 (0.245)	Data 0.173 (0.182)	Loss 3.3436 (3.3269)	Prec@1 27.734 (24.970)	Prec@5 54.297 (52.505)
Epoch: [39][5630/7045]	Time 0.197 (0.245)	Data 0.146 (0.182)	Loss 3.4394 (3.3270)	Prec@1 23.047 (24.968)	Prec@5 50.000 (52.503)
Epoch: [39][5640/7045]	Time 0.294 (0.245)	Data 0.243 (0.182)	Loss 3.3674 (3.3269)	Prec@1 21.484 (24.968)	Prec@5 51.172 (52.502)
Epoch: [39][5650/7045]	Time 0.183 (0.245)	Data 0.132 (0.182)	Loss 3.2238 (3.3268)	Prec@1 27.344 (24.971)	Prec@5 51.953 (52.504)
Epoch: [39][5660/7045]	Time 0.125 (0.245)	Data 0.073 (0.182)	Loss 3.3692 (3.3268)	Prec@1 24.219 (24.972)	Prec@5 50.000 (52.505)
Epoch: [39][5670/7045]	Time 0.182 (0.245)	Data 0.132 (0.182)	Loss 3.3806 (3.3267)	Prec@1 23.438 (24.973)	Prec@5 48.047 (52.506)
Epoch: [39][5680/7045]	Time 0.196 (0.245)	Data 0.138 (0.182)	Loss 2.9832 (3.3266)	Prec@1 28.906 (24.974)	Prec@5 60.938 (52.509)
Epoch: [39][5690/7045]	Time 0.172 (0.245)	Data 0.121 (0.182)	Loss 3.1611 (3.3265)	Prec@1 32.812 (24.977)	Prec@5 55.859 (52.510)
Epoch: [39][5700/7045]	Time 0.243 (0.245)	Data 0.193 (0.182)	Loss 3.2579 (3.3266)	Prec@1 25.391 (24.978)	Prec@5 55.859 (52.510)
Epoch: [39][5710/7045]	Time 0.250 (0.245)	Data 0.200 (0.182)	Loss 3.2138 (3.3264)	Prec@1 28.125 (24.981)	Prec@5 51.172 (52.513)
Epoch: [39][5720/7045]	Time 0.213 (0.245)	Data 0.160 (0.182)	Loss 3.3134 (3.3263)	Prec@1 28.906 (24.982)	Prec@5 53.516 (52.514)
Epoch: [39][5730/7045]	Time 0.288 (0.245)	Data 0.237 (0.182)	Loss 3.0588 (3.3262)	Prec@1 28.516 (24.982)	Prec@5 58.203 (52.515)
Epoch: [39][5740/7045]	Time 0.139 (0.245)	Data 0.088 (0.182)	Loss 3.4555 (3.3262)	Prec@1 26.953 (24.981)	Prec@5 46.484 (52.516)
Epoch: [39][5750/7045]	Time 0.331 (0.245)	Data 0.280 (0.182)	Loss 3.2757 (3.3261)	Prec@1 25.391 (24.983)	Prec@5 52.734 (52.517)
Epoch: [39][5760/7045]	Time 0.107 (0.245)	Data 0.056 (0.182)	Loss 3.4422 (3.3260)	Prec@1 22.656 (24.985)	Prec@5 52.344 (52.521)
Epoch: [39][5770/7045]	Time 0.291 (0.245)	Data 0.241 (0.182)	Loss 3.3793 (3.3259)	Prec@1 27.344 (24.987)	Prec@5 51.562 (52.523)
Epoch: [39][5780/7045]	Time 0.100 (0.245)	Data 0.003 (0.182)	Loss 3.3145 (3.3259)	Prec@1 26.172 (24.986)	Prec@5 53.906 (52.524)
Epoch: [39][5790/7045]	Time 0.198 (0.245)	Data 0.146 (0.182)	Loss 3.2648 (3.3259)	Prec@1 27.344 (24.986)	Prec@5 53.125 (52.524)
Epoch: [39][5800/7045]	Time 0.102 (0.245)	Data 0.001 (0.182)	Loss 3.3570 (3.3258)	Prec@1 22.266 (24.987)	Prec@5 54.297 (52.526)
Epoch: [39][5810/7045]	Time 0.151 (0.245)	Data 0.101 (0.182)	Loss 3.1271 (3.3257)	Prec@1 25.781 (24.989)	Prec@5 57.422 (52.527)
Epoch: [39][5820/7045]	Time 0.107 (0.245)	Data 0.006 (0.182)	Loss 3.1977 (3.3256)	Prec@1 30.469 (24.991)	Prec@5 55.469 (52.529)
Epoch: [39][5830/7045]	Time 0.264 (0.245)	Data 0.213 (0.182)	Loss 3.5294 (3.3257)	Prec@1 21.484 (24.989)	Prec@5 48.828 (52.526)
Epoch: [39][5840/7045]	Time 0.110 (0.245)	Data 0.001 (0.182)	Loss 3.5251 (3.3258)	Prec@1 21.875 (24.989)	Prec@5 49.609 (52.525)
Epoch: [39][5850/7045]	Time 0.331 (0.245)	Data 0.281 (0.182)	Loss 3.1482 (3.3258)	Prec@1 27.344 (24.988)	Prec@5 53.516 (52.523)
Epoch: [39][5860/7045]	Time 0.110 (0.245)	Data 0.001 (0.182)	Loss 3.1479 (3.3260)	Prec@1 25.781 (24.986)	Prec@5 56.250 (52.523)
Epoch: [39][5870/7045]	Time 0.297 (0.245)	Data 0.246 (0.182)	Loss 3.4865 (3.3260)	Prec@1 21.875 (24.985)	Prec@5 50.781 (52.523)
Epoch: [39][5880/7045]	Time 0.107 (0.245)	Data 0.004 (0.182)	Loss 3.2026 (3.3259)	Prec@1 26.953 (24.984)	Prec@5 58.594 (52.525)
Epoch: [39][5890/7045]	Time 0.302 (0.245)	Data 0.252 (0.181)	Loss 3.0689 (3.3258)	Prec@1 31.250 (24.985)	Prec@5 55.859 (52.527)
Epoch: [39][5900/7045]	Time 0.109 (0.245)	Data 0.056 (0.181)	Loss 3.0997 (3.3258)	Prec@1 28.125 (24.986)	Prec@5 59.375 (52.529)
Epoch: [39][5910/7045]	Time 0.343 (0.245)	Data 0.292 (0.181)	Loss 3.3492 (3.3257)	Prec@1 25.391 (24.986)	Prec@5 52.734 (52.531)
Epoch: [39][5920/7045]	Time 0.104 (0.245)	Data 0.052 (0.181)	Loss 3.2768 (3.3257)	Prec@1 26.562 (24.987)	Prec@5 58.594 (52.531)
Epoch: [39][5930/7045]	Time 0.270 (0.245)	Data 0.219 (0.181)	Loss 3.2364 (3.3257)	Prec@1 27.344 (24.987)	Prec@5 56.250 (52.534)
Epoch: [39][5940/7045]	Time 0.107 (0.245)	Data 0.008 (0.181)	Loss 3.2253 (3.3256)	Prec@1 22.656 (24.990)	Prec@5 54.688 (52.537)
Epoch: [39][5950/7045]	Time 0.242 (0.245)	Data 0.191 (0.181)	Loss 3.2856 (3.3256)	Prec@1 23.047 (24.987)	Prec@5 53.516 (52.534)
Epoch: [39][5960/7045]	Time 0.103 (0.245)	Data 0.005 (0.181)	Loss 3.5596 (3.3257)	Prec@1 21.094 (24.985)	Prec@5 50.000 (52.534)
Epoch: [39][5970/7045]	Time 0.284 (0.245)	Data 0.233 (0.181)	Loss 3.3259 (3.3257)	Prec@1 25.000 (24.984)	Prec@5 54.297 (52.532)
Epoch: [39][5980/7045]	Time 0.140 (0.245)	Data 0.083 (0.181)	Loss 3.3631 (3.3257)	Prec@1 22.656 (24.985)	Prec@5 53.516 (52.532)
Epoch: [39][5990/7045]	Time 0.157 (0.245)	Data 0.107 (0.181)	Loss 3.3022 (3.3257)	Prec@1 25.000 (24.985)	Prec@5 53.125 (52.532)
Epoch: [39][6000/7045]	Time 0.278 (0.245)	Data 0.220 (0.181)	Loss 3.2381 (3.3256)	Prec@1 26.172 (24.986)	Prec@5 52.734 (52.533)
Epoch: [39][6010/7045]	Time 0.102 (0.245)	Data 0.004 (0.181)	Loss 3.1592 (3.3255)	Prec@1 29.297 (24.989)	Prec@5 53.516 (52.534)
Epoch: [39][6020/7045]	Time 0.239 (0.245)	Data 0.188 (0.181)	Loss 3.3300 (3.3255)	Prec@1 24.219 (24.988)	Prec@5 51.172 (52.533)
Epoch: [39][6030/7045]	Time 0.231 (0.245)	Data 0.180 (0.182)	Loss 3.4760 (3.3256)	Prec@1 24.609 (24.989)	Prec@5 48.047 (52.533)
Epoch: [39][6040/7045]	Time 0.168 (0.245)	Data 0.117 (0.181)	Loss 3.1954 (3.3255)	Prec@1 24.219 (24.987)	Prec@5 57.812 (52.533)
Epoch: [39][6050/7045]	Time 0.374 (0.245)	Data 0.322 (0.182)	Loss 3.2596 (3.3254)	Prec@1 26.172 (24.989)	Prec@5 54.688 (52.536)
Epoch: [39][6060/7045]	Time 0.103 (0.245)	Data 0.001 (0.182)	Loss 3.5064 (3.3254)	Prec@1 23.828 (24.989)	Prec@5 48.828 (52.536)
Epoch: [39][6070/7045]	Time 0.339 (0.245)	Data 0.288 (0.182)	Loss 3.2764 (3.3255)	Prec@1 23.828 (24.988)	Prec@5 53.906 (52.535)
Epoch: [39][6080/7045]	Time 0.416 (0.245)	Data 0.365 (0.182)	Loss 3.2580 (3.3255)	Prec@1 25.781 (24.988)	Prec@5 54.297 (52.535)
Epoch: [39][6090/7045]	Time 0.183 (0.245)	Data 0.131 (0.182)	Loss 3.2797 (3.3255)	Prec@1 26.953 (24.988)	Prec@5 54.297 (52.534)
Epoch: [39][6100/7045]	Time 0.376 (0.245)	Data 0.325 (0.182)	Loss 3.1613 (3.3255)	Prec@1 28.516 (24.987)	Prec@5 57.422 (52.535)
Epoch: [39][6110/7045]	Time 0.168 (0.245)	Data 0.114 (0.182)	Loss 3.3112 (3.3254)	Prec@1 27.734 (24.990)	Prec@5 54.688 (52.538)
Epoch: [39][6120/7045]	Time 0.316 (0.245)	Data 0.266 (0.182)	Loss 3.4978 (3.3254)	Prec@1 18.359 (24.989)	Prec@5 44.531 (52.536)
Epoch: [39][6130/7045]	Time 0.298 (0.245)	Data 0.248 (0.182)	Loss 3.3085 (3.3253)	Prec@1 25.000 (24.990)	Prec@5 53.906 (52.539)
Epoch: [39][6140/7045]	Time 0.135 (0.245)	Data 0.082 (0.182)	Loss 3.3434 (3.3254)	Prec@1 26.562 (24.991)	Prec@5 51.562 (52.536)
Epoch: [39][6150/7045]	Time 0.308 (0.245)	Data 0.258 (0.182)	Loss 3.1844 (3.3254)	Prec@1 28.516 (24.990)	Prec@5 55.859 (52.537)
Epoch: [39][6160/7045]	Time 0.110 (0.245)	Data 0.058 (0.182)	Loss 3.2402 (3.3253)	Prec@1 23.047 (24.990)	Prec@5 54.297 (52.538)
Epoch: [39][6170/7045]	Time 0.214 (0.245)	Data 0.163 (0.182)	Loss 3.2555 (3.3253)	Prec@1 25.781 (24.991)	Prec@5 53.906 (52.539)
Epoch: [39][6180/7045]	Time 0.102 (0.245)	Data 0.046 (0.182)	Loss 3.2033 (3.3253)	Prec@1 26.172 (24.991)	Prec@5 57.422 (52.540)
Epoch: [39][6190/7045]	Time 0.102 (0.245)	Data 0.002 (0.182)	Loss 3.3740 (3.3252)	Prec@1 21.484 (24.994)	Prec@5 49.609 (52.542)
Epoch: [39][6200/7045]	Time 0.101 (0.245)	Data 0.005 (0.182)	Loss 3.3033 (3.3251)	Prec@1 27.344 (24.993)	Prec@5 52.734 (52.545)
Epoch: [39][6210/7045]	Time 0.322 (0.245)	Data 0.270 (0.182)	Loss 3.1969 (3.3251)	Prec@1 28.516 (24.995)	Prec@5 55.078 (52.545)
Epoch: [39][6220/7045]	Time 0.102 (0.245)	Data 0.004 (0.182)	Loss 3.0881 (3.3250)	Prec@1 28.125 (24.998)	Prec@5 55.859 (52.546)
Epoch: [39][6230/7045]	Time 0.659 (0.245)	Data 0.607 (0.182)	Loss 3.2526 (3.3250)	Prec@1 27.344 (24.997)	Prec@5 53.125 (52.545)
Epoch: [39][6240/7045]	Time 0.131 (0.245)	Data 0.080 (0.182)	Loss 3.3853 (3.3249)	Prec@1 25.781 (24.998)	Prec@5 51.953 (52.546)
Epoch: [39][6250/7045]	Time 0.535 (0.245)	Data 0.484 (0.182)	Loss 3.0132 (3.3249)	Prec@1 28.906 (24.998)	Prec@5 57.422 (52.547)
Epoch: [39][6260/7045]	Time 0.280 (0.245)	Data 0.229 (0.182)	Loss 3.4349 (3.3249)	Prec@1 25.000 (24.998)	Prec@5 51.953 (52.549)
Epoch: [39][6270/7045]	Time 0.406 (0.245)	Data 0.353 (0.182)	Loss 3.3688 (3.3249)	Prec@1 26.562 (24.998)	Prec@5 53.125 (52.549)
Epoch: [39][6280/7045]	Time 0.269 (0.245)	Data 0.218 (0.181)	Loss 3.3131 (3.3248)	Prec@1 24.609 (25.000)	Prec@5 53.906 (52.551)
Epoch: [39][6290/7045]	Time 0.462 (0.245)	Data 0.411 (0.181)	Loss 3.1949 (3.3248)	Prec@1 26.562 (25.000)	Prec@5 58.594 (52.553)
Epoch: [39][6300/7045]	Time 0.288 (0.245)	Data 0.236 (0.181)	Loss 3.2061 (3.3247)	Prec@1 27.344 (25.001)	Prec@5 58.984 (52.556)
Epoch: [39][6310/7045]	Time 0.443 (0.245)	Data 0.392 (0.181)	Loss 3.1381 (3.3247)	Prec@1 28.125 (25.002)	Prec@5 55.859 (52.557)
Epoch: [39][6320/7045]	Time 0.322 (0.245)	Data 0.272 (0.181)	Loss 3.2167 (3.3246)	Prec@1 25.781 (25.003)	Prec@5 55.859 (52.558)
Epoch: [39][6330/7045]	Time 0.373 (0.245)	Data 0.315 (0.181)	Loss 3.5481 (3.3247)	Prec@1 20.312 (25.001)	Prec@5 48.828 (52.558)
Epoch: [39][6340/7045]	Time 0.281 (0.245)	Data 0.231 (0.181)	Loss 3.1736 (3.3246)	Prec@1 27.344 (25.002)	Prec@5 55.078 (52.560)
Epoch: [39][6350/7045]	Time 0.457 (0.245)	Data 0.406 (0.181)	Loss 3.2267 (3.3246)	Prec@1 25.000 (25.002)	Prec@5 57.031 (52.560)
Epoch: [39][6360/7045]	Time 0.303 (0.245)	Data 0.251 (0.181)	Loss 3.3693 (3.3245)	Prec@1 25.391 (25.004)	Prec@5 53.125 (52.563)
Epoch: [39][6370/7045]	Time 0.508 (0.245)	Data 0.458 (0.181)	Loss 3.4267 (3.3245)	Prec@1 23.828 (25.005)	Prec@5 51.562 (52.564)
Epoch: [39][6380/7045]	Time 0.238 (0.245)	Data 0.188 (0.181)	Loss 3.2226 (3.3244)	Prec@1 25.391 (25.005)	Prec@5 56.250 (52.565)
Epoch: [39][6390/7045]	Time 0.496 (0.245)	Data 0.445 (0.181)	Loss 3.2968 (3.3244)	Prec@1 22.656 (25.005)	Prec@5 57.031 (52.566)
Epoch: [39][6400/7045]	Time 0.159 (0.245)	Data 0.102 (0.181)	Loss 3.3100 (3.3243)	Prec@1 23.047 (25.008)	Prec@5 52.734 (52.571)
Epoch: [39][6410/7045]	Time 0.484 (0.245)	Data 0.433 (0.181)	Loss 3.4421 (3.3242)	Prec@1 21.094 (25.009)	Prec@5 48.828 (52.570)
Epoch: [39][6420/7045]	Time 0.271 (0.245)	Data 0.214 (0.181)	Loss 3.3390 (3.3242)	Prec@1 25.391 (25.009)	Prec@5 50.391 (52.570)
Epoch: [39][6430/7045]	Time 0.436 (0.245)	Data 0.386 (0.181)	Loss 3.4532 (3.3241)	Prec@1 23.828 (25.010)	Prec@5 51.172 (52.571)
Epoch: [39][6440/7045]	Time 0.220 (0.245)	Data 0.170 (0.181)	Loss 3.1798 (3.3240)	Prec@1 28.125 (25.012)	Prec@5 55.469 (52.573)
Epoch: [39][6450/7045]	Time 0.431 (0.245)	Data 0.379 (0.181)	Loss 3.2330 (3.3241)	Prec@1 23.828 (25.011)	Prec@5 54.688 (52.572)
Epoch: [39][6460/7045]	Time 0.259 (0.245)	Data 0.207 (0.181)	Loss 3.4020 (3.3242)	Prec@1 25.000 (25.010)	Prec@5 50.391 (52.571)
Epoch: [39][6470/7045]	Time 0.459 (0.245)	Data 0.408 (0.181)	Loss 3.2451 (3.3242)	Prec@1 22.266 (25.010)	Prec@5 57.422 (52.572)
Epoch: [39][6480/7045]	Time 0.150 (0.245)	Data 0.099 (0.181)	Loss 3.3898 (3.3242)	Prec@1 20.312 (25.009)	Prec@5 48.828 (52.571)
Epoch: [39][6490/7045]	Time 0.457 (0.245)	Data 0.405 (0.181)	Loss 3.3540 (3.3241)	Prec@1 26.172 (25.011)	Prec@5 53.516 (52.573)
Epoch: [39][6500/7045]	Time 0.158 (0.245)	Data 0.106 (0.181)	Loss 3.1990 (3.3241)	Prec@1 26.172 (25.011)	Prec@5 54.297 (52.573)
Epoch: [39][6510/7045]	Time 0.437 (0.245)	Data 0.386 (0.181)	Loss 3.1840 (3.3240)	Prec@1 24.609 (25.011)	Prec@5 54.688 (52.577)
Epoch: [39][6520/7045]	Time 0.125 (0.245)	Data 0.074 (0.181)	Loss 3.0945 (3.3240)	Prec@1 25.000 (25.011)	Prec@5 58.984 (52.578)
Epoch: [39][6530/7045]	Time 0.439 (0.245)	Data 0.389 (0.181)	Loss 3.3437 (3.3240)	Prec@1 26.562 (25.012)	Prec@5 52.344 (52.579)
Epoch: [39][6540/7045]	Time 0.102 (0.245)	Data 0.049 (0.181)	Loss 3.1974 (3.3238)	Prec@1 25.391 (25.015)	Prec@5 54.688 (52.582)
Epoch: [39][6550/7045]	Time 0.455 (0.245)	Data 0.404 (0.181)	Loss 3.2421 (3.3238)	Prec@1 24.219 (25.014)	Prec@5 59.375 (52.584)
Epoch: [39][6560/7045]	Time 0.134 (0.245)	Data 0.084 (0.181)	Loss 3.2845 (3.3236)	Prec@1 26.562 (25.017)	Prec@5 54.297 (52.588)
Epoch: [39][6570/7045]	Time 0.479 (0.245)	Data 0.429 (0.181)	Loss 3.4027 (3.3237)	Prec@1 24.609 (25.015)	Prec@5 51.172 (52.584)
Epoch: [39][6580/7045]	Time 0.105 (0.245)	Data 0.050 (0.181)	Loss 3.2288 (3.3237)	Prec@1 22.266 (25.014)	Prec@5 55.078 (52.585)
Epoch: [39][6590/7045]	Time 0.501 (0.245)	Data 0.449 (0.181)	Loss 3.3852 (3.3238)	Prec@1 25.391 (25.012)	Prec@5 54.297 (52.585)
Epoch: [39][6600/7045]	Time 0.108 (0.245)	Data 0.007 (0.181)	Loss 3.2858 (3.3239)	Prec@1 22.656 (25.012)	Prec@5 52.734 (52.584)
Epoch: [39][6610/7045]	Time 0.415 (0.245)	Data 0.364 (0.181)	Loss 3.2911 (3.3238)	Prec@1 26.953 (25.014)	Prec@5 53.125 (52.583)
Epoch: [39][6620/7045]	Time 0.101 (0.245)	Data 0.001 (0.181)	Loss 3.1067 (3.3238)	Prec@1 25.000 (25.014)	Prec@5 58.594 (52.583)
Epoch: [39][6630/7045]	Time 0.522 (0.245)	Data 0.472 (0.181)	Loss 3.1768 (3.3237)	Prec@1 27.734 (25.016)	Prec@5 54.688 (52.585)
Epoch: [39][6640/7045]	Time 0.101 (0.244)	Data 0.009 (0.181)	Loss 3.2367 (3.3237)	Prec@1 25.391 (25.017)	Prec@5 56.641 (52.586)
Epoch: [39][6650/7045]	Time 0.617 (0.245)	Data 0.565 (0.181)	Loss 3.1879 (3.3236)	Prec@1 28.516 (25.018)	Prec@5 55.859 (52.588)
Epoch: [39][6660/7045]	Time 0.109 (0.244)	Data 0.005 (0.181)	Loss 3.0799 (3.3235)	Prec@1 29.688 (25.019)	Prec@5 55.078 (52.590)
Epoch: [39][6670/7045]	Time 0.588 (0.244)	Data 0.536 (0.181)	Loss 3.4585 (3.3235)	Prec@1 24.609 (25.019)	Prec@5 50.000 (52.590)
Epoch: [39][6680/7045]	Time 0.106 (0.244)	Data 0.007 (0.181)	Loss 3.3212 (3.3236)	Prec@1 25.000 (25.017)	Prec@5 58.203 (52.589)
Epoch: [39][6690/7045]	Time 0.615 (0.244)	Data 0.557 (0.181)	Loss 3.3349 (3.3235)	Prec@1 26.562 (25.019)	Prec@5 51.562 (52.590)
Epoch: [39][6700/7045]	Time 0.102 (0.244)	Data 0.004 (0.181)	Loss 3.3929 (3.3235)	Prec@1 25.000 (25.019)	Prec@5 51.172 (52.589)
Epoch: [39][6710/7045]	Time 0.613 (0.244)	Data 0.563 (0.181)	Loss 3.4634 (3.3236)	Prec@1 23.047 (25.018)	Prec@5 48.828 (52.589)
Epoch: [39][6720/7045]	Time 0.108 (0.244)	Data 0.006 (0.181)	Loss 3.2875 (3.3235)	Prec@1 26.172 (25.017)	Prec@5 52.344 (52.589)
Epoch: [39][6730/7045]	Time 0.568 (0.244)	Data 0.517 (0.181)	Loss 3.3453 (3.3235)	Prec@1 24.609 (25.018)	Prec@5 53.125 (52.591)
Epoch: [39][6740/7045]	Time 0.109 (0.244)	Data 0.057 (0.181)	Loss 3.1753 (3.3235)	Prec@1 24.609 (25.018)	Prec@5 56.641 (52.591)
Epoch: [39][6750/7045]	Time 0.628 (0.244)	Data 0.570 (0.181)	Loss 3.3570 (3.3235)	Prec@1 24.219 (25.017)	Prec@5 53.516 (52.592)
Epoch: [39][6760/7045]	Time 0.108 (0.244)	Data 0.003 (0.181)	Loss 3.3341 (3.3233)	Prec@1 26.562 (25.020)	Prec@5 53.125 (52.597)
Epoch: [39][6770/7045]	Time 0.599 (0.244)	Data 0.542 (0.181)	Loss 3.5992 (3.3234)	Prec@1 23.438 (25.020)	Prec@5 51.172 (52.594)
Epoch: [39][6780/7045]	Time 0.110 (0.244)	Data 0.059 (0.181)	Loss 3.2523 (3.3234)	Prec@1 25.391 (25.019)	Prec@5 53.516 (52.595)
Epoch: [39][6790/7045]	Time 0.689 (0.244)	Data 0.637 (0.181)	Loss 3.2306 (3.3233)	Prec@1 27.344 (25.021)	Prec@5 54.688 (52.597)
Epoch: [39][6800/7045]	Time 0.104 (0.244)	Data 0.053 (0.181)	Loss 3.3333 (3.3232)	Prec@1 25.781 (25.023)	Prec@5 54.688 (52.600)
Epoch: [39][6810/7045]	Time 0.638 (0.244)	Data 0.586 (0.181)	Loss 3.3879 (3.3232)	Prec@1 23.828 (25.024)	Prec@5 53.906 (52.601)
Epoch: [39][6820/7045]	Time 0.109 (0.244)	Data 0.058 (0.181)	Loss 3.5191 (3.3231)	Prec@1 21.875 (25.024)	Prec@5 49.219 (52.602)
Epoch: [39][6830/7045]	Time 0.588 (0.244)	Data 0.529 (0.181)	Loss 3.3567 (3.3230)	Prec@1 23.047 (25.026)	Prec@5 48.438 (52.603)
Epoch: [39][6840/7045]	Time 0.167 (0.244)	Data 0.116 (0.181)	Loss 3.2497 (3.3229)	Prec@1 26.953 (25.028)	Prec@5 53.906 (52.606)
Epoch: [39][6850/7045]	Time 0.656 (0.244)	Data 0.604 (0.181)	Loss 3.2862 (3.3229)	Prec@1 23.828 (25.028)	Prec@5 54.297 (52.608)
Epoch: [39][6860/7045]	Time 0.102 (0.244)	Data 0.001 (0.181)	Loss 3.2740 (3.3229)	Prec@1 21.875 (25.027)	Prec@5 59.375 (52.610)
Epoch: [39][6870/7045]	Time 0.653 (0.244)	Data 0.601 (0.181)	Loss 3.3267 (3.3229)	Prec@1 25.391 (25.027)	Prec@5 54.688 (52.610)
Epoch: [39][6880/7045]	Time 0.156 (0.244)	Data 0.105 (0.181)	Loss 3.3079 (3.3228)	Prec@1 22.656 (25.027)	Prec@5 51.172 (52.612)
Epoch: [39][6890/7045]	Time 0.644 (0.244)	Data 0.593 (0.181)	Loss 3.5685 (3.3229)	Prec@1 22.266 (25.026)	Prec@5 48.438 (52.610)
Epoch: [39][6900/7045]	Time 0.101 (0.244)	Data 0.001 (0.181)	Loss 3.4414 (3.3229)	Prec@1 22.656 (25.026)	Prec@5 52.344 (52.610)
Epoch: [39][6910/7045]	Time 0.587 (0.244)	Data 0.536 (0.181)	Loss 3.2790 (3.3228)	Prec@1 27.344 (25.026)	Prec@5 50.781 (52.611)
Epoch: [39][6920/7045]	Time 0.102 (0.244)	Data 0.001 (0.181)	Loss 3.3523 (3.3227)	Prec@1 27.734 (25.028)	Prec@5 54.688 (52.616)
Epoch: [39][6930/7045]	Time 0.647 (0.244)	Data 0.593 (0.181)	Loss 3.2480 (3.3226)	Prec@1 27.344 (25.027)	Prec@5 53.125 (52.617)
Epoch: [39][6940/7045]	Time 0.102 (0.244)	Data 0.002 (0.181)	Loss 3.3698 (3.3226)	Prec@1 25.391 (25.028)	Prec@5 51.172 (52.617)
Epoch: [39][6950/7045]	Time 0.640 (0.244)	Data 0.583 (0.181)	Loss 3.1907 (3.3226)	Prec@1 25.000 (25.030)	Prec@5 53.125 (52.617)
Epoch: [39][6960/7045]	Time 0.107 (0.244)	Data 0.055 (0.180)	Loss 3.3219 (3.3226)	Prec@1 26.562 (25.030)	Prec@5 56.641 (52.617)
Epoch: [39][6970/7045]	Time 0.642 (0.244)	Data 0.586 (0.180)	Loss 3.1087 (3.3226)	Prec@1 26.953 (25.030)	Prec@5 62.500 (52.617)
Epoch: [39][6980/7045]	Time 0.109 (0.244)	Data 0.010 (0.180)	Loss 3.2784 (3.3226)	Prec@1 26.953 (25.030)	Prec@5 56.250 (52.615)
Epoch: [39][6990/7045]	Time 0.640 (0.244)	Data 0.583 (0.180)	Loss 3.4084 (3.3226)	Prec@1 22.266 (25.030)	Prec@5 50.781 (52.617)
Epoch: [39][7000/7045]	Time 0.108 (0.244)	Data 0.010 (0.180)	Loss 3.5293 (3.3227)	Prec@1 25.000 (25.030)	Prec@5 48.828 (52.616)
Epoch: [39][7010/7045]	Time 0.626 (0.244)	Data 0.569 (0.180)	Loss 3.2868 (3.3226)	Prec@1 23.438 (25.031)	Prec@5 56.250 (52.616)
Epoch: [39][7020/7045]	Time 0.109 (0.244)	Data 0.004 (0.180)	Loss 3.1941 (3.3226)	Prec@1 28.125 (25.033)	Prec@5 56.250 (52.619)
Epoch: [39][7030/7045]	Time 0.587 (0.244)	Data 0.535 (0.180)	Loss 3.3773 (3.3225)	Prec@1 24.609 (25.034)	Prec@5 53.516 (52.620)
Epoch: [39][7040/7045]	Time 0.109 (0.244)	Data 0.006 (0.180)	Loss 3.1702 (3.3225)	Prec@1 28.516 (25.035)	Prec@5 55.859 (52.619)
Test: [0/143]	Time 1.550 (1.550)	Loss 2.8648 (2.8648)	Prec@1 33.594 (33.594)	Prec@5 63.281 (63.281)
Test: [10/143]	Time 0.061 (0.268)	Loss 2.4656 (2.7139)	Prec@1 44.141 (36.151)	Prec@5 78.516 (66.300)
Test: [20/143]	Time 0.479 (0.247)	Loss 3.0230 (2.7352)	Prec@1 28.125 (33.538)	Prec@5 62.109 (66.053)
Test: [30/143]	Time 0.282 (0.223)	Loss 2.8706 (2.7473)	Prec@1 36.328 (34.589)	Prec@5 58.203 (65.360)
Test: [40/143]	Time 0.127 (0.214)	Loss 3.3791 (2.7575)	Prec@1 13.281 (34.289)	Prec@5 52.734 (64.796)
Test: [50/143]	Time 0.069 (0.205)	Loss 2.3146 (2.7819)	Prec@1 38.281 (33.287)	Prec@5 80.859 (64.438)
Test: [60/143]	Time 0.327 (0.206)	Loss 3.1036 (2.7644)	Prec@1 23.047 (33.741)	Prec@5 59.375 (64.761)
Test: [70/143]	Time 0.254 (0.200)	Loss 3.5657 (2.7669)	Prec@1 14.453 (33.544)	Prec@5 40.234 (64.618)
Test: [80/143]	Time 0.105 (0.196)	Loss 2.7265 (2.7575)	Prec@1 37.891 (33.840)	Prec@5 67.188 (64.950)
Test: [90/143]	Time 0.336 (0.195)	Loss 2.5825 (2.7580)	Prec@1 34.375 (33.692)	Prec@5 66.406 (65.007)
Test: [100/143]	Time 0.293 (0.194)	Loss 2.5185 (2.7598)	Prec@1 37.891 (33.559)	Prec@5 72.656 (64.979)
Test: [110/143]	Time 0.061 (0.192)	Loss 2.4742 (2.7473)	Prec@1 44.141 (34.027)	Prec@5 70.312 (65.203)
Test: [120/143]	Time 0.064 (0.191)	Loss 2.1085 (2.7324)	Prec@1 50.391 (34.469)	Prec@5 79.688 (65.496)
Test: [130/143]	Time 0.048 (0.190)	Loss 2.1889 (2.7452)	Prec@1 53.516 (34.235)	Prec@5 71.484 (65.070)
Test: [140/143]	Time 0.247 (0.190)	Loss 3.7060 (2.7649)	Prec@1 13.672 (33.782)	Prec@5 46.484 (64.683)
 * Prec@1 33.844 Prec@5 64.729
Epoch: [40][0/7045]	Time 2.250 (2.250)	Data 2.189 (2.189)	Loss 3.2953 (3.2953)	Prec@1 29.297 (29.297)	Prec@5 49.219 (49.219)
Epoch: [40][10/7045]	Time 0.100 (0.403)	Data 0.001 (0.320)	Loss 3.3988 (3.2698)	Prec@1 21.875 (26.420)	Prec@5 50.781 (53.551)
Epoch: [40][20/7045]	Time 0.673 (0.344)	Data 0.621 (0.267)	Loss 3.3949 (3.3014)	Prec@1 22.656 (25.874)	Prec@5 48.828 (53.106)
Epoch: [40][30/7045]	Time 0.102 (0.302)	Data 0.005 (0.226)	Loss 3.4418 (3.3201)	Prec@1 24.609 (25.252)	Prec@5 49.609 (52.911)
Epoch: [40][40/7045]	Time 0.494 (0.295)	Data 0.442 (0.220)	Loss 3.1824 (3.3049)	Prec@1 27.344 (25.514)	Prec@5 53.125 (53.316)
Epoch: [40][50/7045]	Time 0.101 (0.279)	Data 0.002 (0.205)	Loss 3.4375 (3.2931)	Prec@1 25.391 (25.567)	Prec@5 49.609 (53.324)
Epoch: [40][60/7045]	Time 0.207 (0.277)	Data 0.149 (0.205)	Loss 3.0682 (3.2890)	Prec@1 26.172 (25.685)	Prec@5 56.641 (53.388)
Epoch: [40][70/7045]	Time 0.101 (0.269)	Data 0.001 (0.198)	Loss 3.3703 (3.2803)	Prec@1 26.953 (25.869)	Prec@5 53.125 (53.527)
Epoch: [40][80/7045]	Time 0.095 (0.270)	Data 0.001 (0.199)	Loss 3.4868 (3.2798)	Prec@1 23.828 (25.825)	Prec@5 46.875 (53.535)
Epoch: [40][90/7045]	Time 0.102 (0.266)	Data 0.001 (0.192)	Loss 3.2483 (3.2759)	Prec@1 27.734 (25.828)	Prec@5 51.953 (53.597)
Epoch: [40][100/7045]	Time 0.106 (0.265)	Data 0.009 (0.190)	Loss 3.2614 (3.2738)	Prec@1 23.828 (25.828)	Prec@5 56.250 (53.647)
Epoch: [40][110/7045]	Time 0.102 (0.260)	Data 0.049 (0.185)	Loss 3.2046 (3.2697)	Prec@1 29.688 (25.940)	Prec@5 52.734 (53.751)
Epoch: [40][120/7045]	Time 0.168 (0.261)	Data 0.116 (0.187)	Loss 3.2689 (3.2722)	Prec@1 26.172 (25.826)	Prec@5 53.906 (53.690)
Epoch: [40][130/7045]	Time 0.334 (0.259)	Data 0.284 (0.185)	Loss 3.4919 (3.2737)	Prec@1 22.266 (25.817)	Prec@5 50.000 (53.665)
Epoch: [40][140/7045]	Time 0.101 (0.258)	Data 0.010 (0.185)	Loss 3.3938 (3.2773)	Prec@1 25.391 (25.792)	Prec@5 48.828 (53.560)
Epoch: [40][150/7045]	Time 0.501 (0.258)	Data 0.450 (0.185)	Loss 3.0325 (3.2737)	Prec@1 32.422 (25.825)	Prec@5 58.984 (53.642)
Epoch: [40][160/7045]	Time 0.102 (0.256)	Data 0.005 (0.183)	Loss 3.4048 (3.2739)	Prec@1 24.609 (25.842)	Prec@5 50.000 (53.651)
Epoch: [40][170/7045]	Time 0.571 (0.256)	Data 0.520 (0.183)	Loss 3.1199 (3.2721)	Prec@1 29.297 (25.905)	Prec@5 58.594 (53.698)
Epoch: [40][180/7045]	Time 0.118 (0.254)	Data 0.068 (0.181)	Loss 3.2755 (3.2751)	Prec@1 24.609 (25.872)	Prec@5 53.125 (53.645)
Epoch: [40][190/7045]	Time 0.527 (0.254)	Data 0.476 (0.182)	Loss 3.4352 (3.2784)	Prec@1 23.438 (25.802)	Prec@5 48.047 (53.606)
Epoch: [40][200/7045]	Time 0.110 (0.253)	Data 0.001 (0.181)	Loss 3.2525 (3.2784)	Prec@1 28.906 (25.805)	Prec@5 53.516 (53.623)
Epoch: [40][210/7045]	Time 0.501 (0.253)	Data 0.450 (0.182)	Loss 3.3479 (3.2790)	Prec@1 23.047 (25.750)	Prec@5 52.734 (53.558)
Epoch: [40][220/7045]	Time 0.118 (0.252)	Data 0.061 (0.181)	Loss 3.1237 (3.2776)	Prec@1 29.297 (25.794)	Prec@5 57.031 (53.625)
Epoch: [40][230/7045]	Time 0.547 (0.252)	Data 0.497 (0.182)	Loss 3.3031 (3.2760)	Prec@1 25.000 (25.812)	Prec@5 51.953 (53.663)
Epoch: [40][240/7045]	Time 0.116 (0.251)	Data 0.060 (0.181)	Loss 3.2984 (3.2774)	Prec@1 24.219 (25.757)	Prec@5 52.734 (53.650)
Epoch: [40][250/7045]	Time 0.623 (0.252)	Data 0.572 (0.182)	Loss 3.1356 (3.2766)	Prec@1 25.781 (25.773)	Prec@5 58.984 (53.670)
Epoch: [40][260/7045]	Time 0.167 (0.251)	Data 0.117 (0.181)	Loss 3.2592 (3.2764)	Prec@1 30.078 (25.765)	Prec@5 54.297 (53.701)
Epoch: [40][270/7045]	Time 0.552 (0.251)	Data 0.495 (0.182)	Loss 3.5047 (3.2775)	Prec@1 24.609 (25.745)	Prec@5 46.875 (53.648)
Epoch: [40][280/7045]	Time 0.101 (0.250)	Data 0.047 (0.181)	Loss 3.3019 (3.2792)	Prec@1 26.172 (25.742)	Prec@5 51.562 (53.613)
Epoch: [40][290/7045]	Time 0.568 (0.251)	Data 0.511 (0.182)	Loss 3.2599 (3.2806)	Prec@1 24.219 (25.733)	Prec@5 53.125 (53.559)
Epoch: [40][300/7045]	Time 0.101 (0.249)	Data 0.050 (0.181)	Loss 3.0963 (3.2807)	Prec@1 29.297 (25.760)	Prec@5 56.641 (53.558)
Epoch: [40][310/7045]	Time 0.664 (0.250)	Data 0.612 (0.182)	Loss 3.0975 (3.2782)	Prec@1 26.562 (25.793)	Prec@5 55.859 (53.635)
Epoch: [40][320/7045]	Time 0.102 (0.249)	Data 0.049 (0.180)	Loss 3.3713 (3.2801)	Prec@1 25.000 (25.747)	Prec@5 52.734 (53.598)
Epoch: [40][330/7045]	Time 0.607 (0.249)	Data 0.556 (0.181)	Loss 3.0997 (3.2807)	Prec@1 28.516 (25.751)	Prec@5 60.938 (53.601)
Epoch: [40][340/7045]	Time 0.111 (0.248)	Data 0.060 (0.180)	Loss 3.1454 (3.2816)	Prec@1 28.125 (25.776)	Prec@5 57.422 (53.606)
Epoch: [40][350/7045]	Time 0.621 (0.249)	Data 0.570 (0.180)	Loss 3.1032 (3.2807)	Prec@1 28.516 (25.781)	Prec@5 59.766 (53.627)
Epoch: [40][360/7045]	Time 0.127 (0.248)	Data 0.076 (0.180)	Loss 3.2535 (3.2816)	Prec@1 26.172 (25.750)	Prec@5 51.172 (53.589)
Epoch: [40][370/7045]	Time 0.555 (0.248)	Data 0.504 (0.180)	Loss 3.2145 (3.2810)	Prec@1 25.781 (25.776)	Prec@5 53.906 (53.601)
Epoch: [40][380/7045]	Time 0.182 (0.247)	Data 0.131 (0.179)	Loss 3.1910 (3.2800)	Prec@1 26.172 (25.766)	Prec@5 52.734 (53.618)
Epoch: [40][390/7045]	Time 0.589 (0.248)	Data 0.539 (0.180)	Loss 3.2858 (3.2797)	Prec@1 23.828 (25.771)	Prec@5 55.859 (53.627)
Epoch: [40][400/7045]	Time 0.200 (0.247)	Data 0.150 (0.179)	Loss 3.4315 (3.2803)	Prec@1 23.438 (25.749)	Prec@5 50.391 (53.640)
Epoch: [40][410/7045]	Time 0.434 (0.247)	Data 0.382 (0.179)	Loss 3.3837 (3.2824)	Prec@1 24.219 (25.733)	Prec@5 52.344 (53.643)
Epoch: [40][420/7045]	Time 0.251 (0.247)	Data 0.199 (0.179)	Loss 3.2762 (3.2825)	Prec@1 23.047 (25.723)	Prec@5 51.172 (53.630)
Epoch: [40][430/7045]	Time 0.500 (0.247)	Data 0.448 (0.179)	Loss 3.2916 (3.2816)	Prec@1 26.953 (25.747)	Prec@5 52.734 (53.642)
Epoch: [40][440/7045]	Time 0.199 (0.247)	Data 0.149 (0.179)	Loss 3.2197 (3.2833)	Prec@1 29.297 (25.709)	Prec@5 54.297 (53.582)
Epoch: [40][450/7045]	Time 0.492 (0.247)	Data 0.441 (0.179)	Loss 3.3837 (3.2851)	Prec@1 25.391 (25.679)	Prec@5 53.516 (53.540)
Epoch: [40][460/7045]	Time 0.208 (0.246)	Data 0.152 (0.179)	Loss 3.1093 (3.2846)	Prec@1 29.688 (25.687)	Prec@5 57.422 (53.545)
Epoch: [40][470/7045]	Time 0.692 (0.247)	Data 0.640 (0.180)	Loss 3.0894 (3.2842)	Prec@1 32.422 (25.678)	Prec@5 58.594 (53.585)
Epoch: [40][480/7045]	Time 0.102 (0.246)	Data 0.050 (0.179)	Loss 3.3000 (3.2838)	Prec@1 26.953 (25.681)	Prec@5 53.906 (53.562)
Epoch: [40][490/7045]	Time 0.563 (0.246)	Data 0.513 (0.179)	Loss 3.3954 (3.2845)	Prec@1 22.266 (25.693)	Prec@5 51.172 (53.537)
Epoch: [40][500/7045]	Time 0.103 (0.246)	Data 0.051 (0.178)	Loss 3.2697 (3.2858)	Prec@1 26.562 (25.679)	Prec@5 52.734 (53.497)
Epoch: [40][510/7045]	Time 0.561 (0.246)	Data 0.504 (0.179)	Loss 3.3016 (3.2858)	Prec@1 26.562 (25.666)	Prec@5 54.297 (53.474)
Epoch: [40][520/7045]	Time 0.111 (0.245)	Data 0.060 (0.178)	Loss 3.4409 (3.2858)	Prec@1 25.000 (25.666)	Prec@5 49.609 (53.483)
Epoch: [40][530/7045]	Time 0.488 (0.246)	Data 0.431 (0.179)	Loss 3.3638 (3.2861)	Prec@1 24.609 (25.673)	Prec@5 52.734 (53.487)
Epoch: [40][540/7045]	Time 0.102 (0.245)	Data 0.008 (0.178)	Loss 3.2369 (3.2859)	Prec@1 26.172 (25.672)	Prec@5 55.469 (53.484)
Epoch: [40][550/7045]	Time 0.464 (0.246)	Data 0.413 (0.179)	Loss 3.2586 (3.2853)	Prec@1 26.953 (25.682)	Prec@5 53.125 (53.497)
Epoch: [40][560/7045]	Time 0.110 (0.245)	Data 0.060 (0.178)	Loss 3.3972 (3.2868)	Prec@1 25.781 (25.663)	Prec@5 55.469 (53.477)
Epoch: [40][570/7045]	Time 0.507 (0.245)	Data 0.457 (0.179)	Loss 3.3777 (3.2867)	Prec@1 24.609 (25.651)	Prec@5 51.953 (53.488)
Epoch: [40][580/7045]	Time 0.114 (0.245)	Data 0.063 (0.178)	Loss 3.2370 (3.2872)	Prec@1 25.000 (25.658)	Prec@5 55.078 (53.471)
Epoch: [40][590/7045]	Time 0.490 (0.245)	Data 0.439 (0.179)	Loss 2.9502 (3.2861)	Prec@1 31.250 (25.664)	Prec@5 59.375 (53.485)
Epoch: [40][600/7045]	Time 0.135 (0.245)	Data 0.084 (0.178)	Loss 3.3920 (3.2863)	Prec@1 24.609 (25.654)	Prec@5 46.484 (53.467)
Epoch: [40][610/7045]	Time 0.488 (0.245)	Data 0.437 (0.178)	Loss 3.0914 (3.2860)	Prec@1 31.641 (25.673)	Prec@5 58.984 (53.489)
Epoch: [40][620/7045]	Time 0.104 (0.245)	Data 0.052 (0.178)	Loss 3.2547 (3.2874)	Prec@1 23.438 (25.657)	Prec@5 54.688 (53.482)
Epoch: [40][630/7045]	Time 0.452 (0.245)	Data 0.402 (0.178)	Loss 3.2765 (3.2880)	Prec@1 26.953 (25.661)	Prec@5 57.422 (53.475)
Epoch: [40][640/7045]	Time 0.122 (0.244)	Data 0.070 (0.178)	Loss 3.3049 (3.2885)	Prec@1 27.344 (25.658)	Prec@5 51.953 (53.452)
Epoch: [40][650/7045]	Time 0.334 (0.245)	Data 0.284 (0.178)	Loss 3.2830 (3.2880)	Prec@1 26.953 (25.679)	Prec@5 55.078 (53.469)
Epoch: [40][660/7045]	Time 0.119 (0.244)	Data 0.068 (0.178)	Loss 3.3422 (3.2885)	Prec@1 25.391 (25.658)	Prec@5 51.953 (53.455)
Epoch: [40][670/7045]	Time 0.288 (0.244)	Data 0.231 (0.178)	Loss 3.3185 (3.2881)	Prec@1 26.172 (25.664)	Prec@5 50.781 (53.443)
Epoch: [40][680/7045]	Time 0.104 (0.244)	Data 0.046 (0.178)	Loss 3.1949 (3.2880)	Prec@1 30.469 (25.680)	Prec@5 54.297 (53.447)
Epoch: [40][690/7045]	Time 0.153 (0.244)	Data 0.100 (0.178)	Loss 3.1771 (3.2879)	Prec@1 26.172 (25.688)	Prec@5 55.078 (53.453)
Epoch: [40][700/7045]	Time 0.201 (0.244)	Data 0.149 (0.178)	Loss 3.2712 (3.2882)	Prec@1 25.781 (25.688)	Prec@5 56.641 (53.442)
Epoch: [40][710/7045]	Time 0.194 (0.244)	Data 0.143 (0.179)	Loss 3.0710 (3.2873)	Prec@1 28.516 (25.685)	Prec@5 58.203 (53.461)
Epoch: [40][720/7045]	Time 0.412 (0.244)	Data 0.362 (0.179)	Loss 3.4538 (3.2879)	Prec@1 26.562 (25.673)	Prec@5 51.562 (53.452)
Epoch: [40][730/7045]	Time 0.210 (0.244)	Data 0.160 (0.179)	Loss 3.2707 (3.2880)	Prec@1 22.656 (25.662)	Prec@5 53.125 (53.441)
Epoch: [40][740/7045]	Time 0.655 (0.244)	Data 0.604 (0.179)	Loss 3.1258 (3.2867)	Prec@1 26.562 (25.691)	Prec@5 59.375 (53.478)
Epoch: [40][750/7045]	Time 0.107 (0.244)	Data 0.001 (0.179)	Loss 3.3838 (3.2871)	Prec@1 23.047 (25.688)	Prec@5 51.172 (53.477)
Epoch: [40][760/7045]	Time 0.563 (0.244)	Data 0.511 (0.179)	Loss 3.5772 (3.2879)	Prec@1 17.969 (25.671)	Prec@5 50.000 (53.466)
Epoch: [40][770/7045]	Time 0.152 (0.244)	Data 0.102 (0.179)	Loss 3.3575 (3.2885)	Prec@1 29.297 (25.666)	Prec@5 50.781 (53.447)
Epoch: [40][780/7045]	Time 0.545 (0.244)	Data 0.489 (0.179)	Loss 3.3295 (3.2887)	Prec@1 26.953 (25.666)	Prec@5 51.953 (53.445)
Epoch: [40][790/7045]	Time 0.103 (0.244)	Data 0.050 (0.179)	Loss 3.1288 (3.2893)	Prec@1 28.516 (25.664)	Prec@5 55.859 (53.434)
Epoch: [40][800/7045]	Time 0.411 (0.244)	Data 0.360 (0.179)	Loss 3.2707 (3.2890)	Prec@1 25.000 (25.663)	Prec@5 52.344 (53.439)
Epoch: [40][810/7045]	Time 0.110 (0.244)	Data 0.058 (0.179)	Loss 3.2805 (3.2891)	Prec@1 28.516 (25.660)	Prec@5 51.172 (53.433)
Epoch: [40][820/7045]	Time 0.158 (0.244)	Data 0.107 (0.179)	Loss 3.4579 (3.2894)	Prec@1 20.312 (25.665)	Prec@5 46.484 (53.410)
Epoch: [40][830/7045]	Time 0.103 (0.244)	Data 0.001 (0.179)	Loss 3.0869 (3.2892)	Prec@1 28.906 (25.665)	Prec@5 58.203 (53.412)
Epoch: [40][840/7045]	Time 0.106 (0.244)	Data 0.001 (0.179)	Loss 3.5832 (3.2897)	Prec@1 18.359 (25.663)	Prec@5 46.484 (53.401)
Epoch: [40][850/7045]	Time 0.163 (0.244)	Data 0.112 (0.178)	Loss 3.1875 (3.2898)	Prec@1 26.953 (25.664)	Prec@5 56.250 (53.395)
Epoch: [40][860/7045]	Time 0.109 (0.244)	Data 0.009 (0.179)	Loss 3.2391 (3.2896)	Prec@1 24.609 (25.665)	Prec@5 55.469 (53.390)
Epoch: [40][870/7045]	Time 0.712 (0.244)	Data 0.656 (0.179)	Loss 3.3375 (3.2896)	Prec@1 25.781 (25.666)	Prec@5 55.859 (53.398)
Epoch: [40][880/7045]	Time 0.104 (0.244)	Data 0.053 (0.178)	Loss 3.2691 (3.2896)	Prec@1 24.609 (25.681)	Prec@5 55.469 (53.384)
Epoch: [40][890/7045]	Time 0.541 (0.244)	Data 0.490 (0.179)	Loss 3.3818 (3.2900)	Prec@1 22.656 (25.669)	Prec@5 52.734 (53.378)
Epoch: [40][900/7045]	Time 0.101 (0.244)	Data 0.049 (0.178)	Loss 3.3299 (3.2898)	Prec@1 24.219 (25.670)	Prec@5 51.953 (53.392)
Epoch: [40][910/7045]	Time 0.394 (0.244)	Data 0.342 (0.179)	Loss 3.3025 (3.2894)	Prec@1 28.516 (25.674)	Prec@5 52.344 (53.411)
Epoch: [40][920/7045]	Time 0.102 (0.244)	Data 0.001 (0.178)	Loss 3.4296 (3.2897)	Prec@1 22.656 (25.662)	Prec@5 51.172 (53.411)
Epoch: [40][930/7045]	Time 0.479 (0.244)	Data 0.429 (0.179)	Loss 3.4340 (3.2899)	Prec@1 24.609 (25.661)	Prec@5 51.562 (53.411)
Epoch: [40][940/7045]	Time 0.106 (0.244)	Data 0.055 (0.178)	Loss 3.2344 (3.2899)	Prec@1 27.344 (25.661)	Prec@5 51.172 (53.398)
Epoch: [40][950/7045]	Time 0.273 (0.244)	Data 0.215 (0.179)	Loss 3.2041 (3.2896)	Prec@1 28.516 (25.666)	Prec@5 55.469 (53.394)
Epoch: [40][960/7045]	Time 0.099 (0.244)	Data 0.047 (0.178)	Loss 3.3030 (3.2896)	Prec@1 25.391 (25.662)	Prec@5 51.953 (53.389)
Epoch: [40][970/7045]	Time 0.108 (0.244)	Data 0.009 (0.179)	Loss 3.2608 (3.2896)	Prec@1 25.391 (25.658)	Prec@5 55.469 (53.387)
Epoch: [40][980/7045]	Time 0.102 (0.244)	Data 0.001 (0.178)	Loss 3.4564 (3.2895)	Prec@1 21.094 (25.661)	Prec@5 48.828 (53.393)
Epoch: [40][990/7045]	Time 0.142 (0.244)	Data 0.090 (0.178)	Loss 3.2365 (3.2892)	Prec@1 27.734 (25.672)	Prec@5 54.688 (53.398)
Epoch: [40][1000/7045]	Time 0.102 (0.244)	Data 0.050 (0.178)	Loss 3.3507 (3.2891)	Prec@1 22.656 (25.674)	Prec@5 53.516 (53.408)
Epoch: [40][1010/7045]	Time 0.148 (0.244)	Data 0.097 (0.178)	Loss 3.2938 (3.2892)	Prec@1 26.562 (25.672)	Prec@5 53.125 (53.399)
Epoch: [40][1020/7045]	Time 0.221 (0.244)	Data 0.170 (0.178)	Loss 3.3472 (3.2889)	Prec@1 23.438 (25.675)	Prec@5 53.125 (53.408)
Epoch: [40][1030/7045]	Time 0.102 (0.244)	Data 0.012 (0.179)	Loss 3.3209 (3.2890)	Prec@1 27.344 (25.665)	Prec@5 52.734 (53.394)
Epoch: [40][1040/7045]	Time 0.336 (0.244)	Data 0.286 (0.178)	Loss 3.1186 (3.2892)	Prec@1 26.172 (25.670)	Prec@5 58.594 (53.386)
Epoch: [40][1050/7045]	Time 0.274 (0.244)	Data 0.222 (0.179)	Loss 3.4741 (3.2895)	Prec@1 21.875 (25.664)	Prec@5 46.484 (53.373)
Epoch: [40][1060/7045]	Time 0.397 (0.244)	Data 0.346 (0.179)	Loss 3.3862 (3.2894)	Prec@1 23.828 (25.667)	Prec@5 46.875 (53.370)
Epoch: [40][1070/7045]	Time 0.106 (0.244)	Data 0.054 (0.179)	Loss 3.3910 (3.2896)	Prec@1 22.656 (25.668)	Prec@5 50.000 (53.360)
Epoch: [40][1080/7045]	Time 0.639 (0.244)	Data 0.587 (0.179)	Loss 3.4010 (3.2904)	Prec@1 25.781 (25.660)	Prec@5 50.781 (53.343)
Epoch: [40][1090/7045]	Time 0.103 (0.244)	Data 0.008 (0.178)	Loss 3.2435 (3.2909)	Prec@1 23.828 (25.651)	Prec@5 58.203 (53.336)
Epoch: [40][1100/7045]	Time 0.514 (0.244)	Data 0.463 (0.179)	Loss 3.3329 (3.2913)	Prec@1 23.438 (25.641)	Prec@5 57.422 (53.334)
Epoch: [40][1110/7045]	Time 0.109 (0.244)	Data 0.057 (0.178)	Loss 3.3680 (3.2919)	Prec@1 25.781 (25.634)	Prec@5 53.516 (53.326)
Epoch: [40][1120/7045]	Time 0.164 (0.244)	Data 0.113 (0.179)	Loss 3.1951 (3.2917)	Prec@1 28.906 (25.643)	Prec@5 57.812 (53.340)
Epoch: [40][1130/7045]	Time 0.103 (0.244)	Data 0.044 (0.178)	Loss 3.3813 (3.2922)	Prec@1 22.266 (25.628)	Prec@5 47.656 (53.335)
Epoch: [40][1140/7045]	Time 0.149 (0.244)	Data 0.097 (0.179)	Loss 3.2130 (3.2922)	Prec@1 29.297 (25.633)	Prec@5 53.516 (53.334)
Epoch: [40][1150/7045]	Time 0.102 (0.244)	Data 0.007 (0.178)	Loss 3.1989 (3.2920)	Prec@1 28.516 (25.640)	Prec@5 51.562 (53.332)
Epoch: [40][1160/7045]	Time 0.213 (0.244)	Data 0.162 (0.179)	Loss 3.0657 (3.2918)	Prec@1 30.078 (25.642)	Prec@5 60.547 (53.333)
Epoch: [40][1170/7045]	Time 0.320 (0.244)	Data 0.270 (0.179)	Loss 3.1633 (3.2912)	Prec@1 31.250 (25.653)	Prec@5 54.297 (53.345)
Epoch: [40][1180/7045]	Time 0.140 (0.244)	Data 0.089 (0.179)	Loss 3.0127 (3.2914)	Prec@1 32.812 (25.659)	Prec@5 58.203 (53.347)
Epoch: [40][1190/7045]	Time 0.574 (0.244)	Data 0.516 (0.179)	Loss 3.3256 (3.2919)	Prec@1 26.562 (25.655)	Prec@5 52.344 (53.334)
Epoch: [40][1200/7045]	Time 0.111 (0.244)	Data 0.054 (0.179)	Loss 3.1858 (3.2921)	Prec@1 27.344 (25.652)	Prec@5 57.031 (53.335)
Epoch: [40][1210/7045]	Time 0.652 (0.244)	Data 0.595 (0.179)	Loss 3.0694 (3.2920)	Prec@1 28.906 (25.653)	Prec@5 57.812 (53.347)
Epoch: [40][1220/7045]	Time 0.109 (0.244)	Data 0.058 (0.179)	Loss 3.3827 (3.2917)	Prec@1 24.609 (25.658)	Prec@5 51.953 (53.352)
Epoch: [40][1230/7045]	Time 0.386 (0.244)	Data 0.336 (0.179)	Loss 3.2146 (3.2918)	Prec@1 27.344 (25.657)	Prec@5 53.906 (53.340)
Epoch: [40][1240/7045]	Time 0.111 (0.244)	Data 0.060 (0.179)	Loss 3.4490 (3.2916)	Prec@1 23.438 (25.665)	Prec@5 48.828 (53.340)
Epoch: [40][1250/7045]	Time 0.386 (0.244)	Data 0.335 (0.179)	Loss 3.2617 (3.2914)	Prec@1 28.516 (25.664)	Prec@5 53.906 (53.332)
Epoch: [40][1260/7045]	Time 0.103 (0.244)	Data 0.050 (0.179)	Loss 3.2771 (3.2912)	Prec@1 26.172 (25.665)	Prec@5 52.734 (53.334)
Epoch: [40][1270/7045]	Time 0.370 (0.244)	Data 0.318 (0.179)	Loss 3.2745 (3.2910)	Prec@1 26.562 (25.669)	Prec@5 55.469 (53.330)
Epoch: [40][1280/7045]	Time 0.101 (0.244)	Data 0.004 (0.179)	Loss 3.2623 (3.2908)	Prec@1 26.172 (25.676)	Prec@5 53.906 (53.336)
Epoch: [40][1290/7045]	Time 0.341 (0.244)	Data 0.291 (0.179)	Loss 3.2006 (3.2902)	Prec@1 28.125 (25.683)	Prec@5 57.812 (53.349)
Epoch: [40][1300/7045]	Time 0.229 (0.244)	Data 0.173 (0.179)	Loss 3.3680 (3.2912)	Prec@1 23.047 (25.666)	Prec@5 50.781 (53.329)
Epoch: [40][1310/7045]	Time 0.201 (0.244)	Data 0.149 (0.179)	Loss 3.3038 (3.2914)	Prec@1 24.609 (25.662)	Prec@5 51.953 (53.321)
Epoch: [40][1320/7045]	Time 0.356 (0.244)	Data 0.305 (0.179)	Loss 3.2782 (3.2912)	Prec@1 25.391 (25.659)	Prec@5 51.953 (53.325)
Epoch: [40][1330/7045]	Time 0.127 (0.244)	Data 0.076 (0.179)	Loss 3.2798 (3.2910)	Prec@1 21.094 (25.661)	Prec@5 52.734 (53.328)
Epoch: [40][1340/7045]	Time 0.364 (0.244)	Data 0.313 (0.180)	Loss 3.1769 (3.2910)	Prec@1 29.297 (25.662)	Prec@5 53.906 (53.326)
Epoch: [40][1350/7045]	Time 0.110 (0.244)	Data 0.060 (0.180)	Loss 3.2509 (3.2910)	Prec@1 26.172 (25.666)	Prec@5 55.469 (53.325)
Epoch: [40][1360/7045]	Time 0.318 (0.244)	Data 0.266 (0.180)	Loss 3.4376 (3.2909)	Prec@1 21.484 (25.662)	Prec@5 54.688 (53.325)
Epoch: [40][1370/7045]	Time 0.217 (0.244)	Data 0.161 (0.180)	Loss 3.3137 (3.2912)	Prec@1 23.047 (25.649)	Prec@5 55.469 (53.319)
Epoch: [40][1380/7045]	Time 0.151 (0.244)	Data 0.100 (0.180)	Loss 3.2345 (3.2916)	Prec@1 23.828 (25.637)	Prec@5 57.031 (53.312)
Epoch: [40][1390/7045]	Time 0.198 (0.244)	Data 0.146 (0.180)	Loss 3.1730 (3.2915)	Prec@1 25.391 (25.643)	Prec@5 55.859 (53.307)
Epoch: [40][1400/7045]	Time 0.121 (0.244)	Data 0.070 (0.180)	Loss 3.2636 (3.2917)	Prec@1 29.297 (25.653)	Prec@5 56.250 (53.311)
Epoch: [40][1410/7045]	Time 0.130 (0.243)	Data 0.078 (0.180)	Loss 3.3234 (3.2918)	Prec@1 25.391 (25.655)	Prec@5 52.344 (53.314)
Epoch: [40][1420/7045]	Time 0.224 (0.244)	Data 0.173 (0.180)	Loss 3.3138 (3.2918)	Prec@1 25.391 (25.660)	Prec@5 50.000 (53.310)
Epoch: [40][1430/7045]	Time 0.103 (0.243)	Data 0.001 (0.180)	Loss 3.2870 (3.2922)	Prec@1 26.172 (25.650)	Prec@5 51.562 (53.309)
Epoch: [40][1440/7045]	Time 0.238 (0.243)	Data 0.188 (0.180)	Loss 3.3773 (3.2923)	Prec@1 23.828 (25.639)	Prec@5 53.906 (53.301)
Epoch: [40][1450/7045]	Time 0.102 (0.243)	Data 0.001 (0.180)	Loss 3.4482 (3.2920)	Prec@1 25.781 (25.642)	Prec@5 47.656 (53.303)
Epoch: [40][1460/7045]	Time 0.293 (0.243)	Data 0.242 (0.180)	Loss 3.5340 (3.2922)	Prec@1 21.484 (25.638)	Prec@5 47.266 (53.300)
Epoch: [40][1470/7045]	Time 0.101 (0.243)	Data 0.004 (0.180)	Loss 3.4468 (3.2922)	Prec@1 23.828 (25.636)	Prec@5 50.391 (53.304)
Epoch: [40][1480/7045]	Time 0.339 (0.243)	Data 0.288 (0.180)	Loss 3.2649 (3.2922)	Prec@1 23.828 (25.629)	Prec@5 51.562 (53.304)
Epoch: [40][1490/7045]	Time 0.101 (0.243)	Data 0.004 (0.180)	Loss 3.3479 (3.2921)	Prec@1 21.875 (25.627)	Prec@5 49.609 (53.308)
Epoch: [40][1500/7045]	Time 0.367 (0.243)	Data 0.316 (0.180)	Loss 3.0262 (3.2921)	Prec@1 28.906 (25.624)	Prec@5 59.375 (53.311)
Epoch: [40][1510/7045]	Time 0.101 (0.243)	Data 0.001 (0.180)	Loss 3.5632 (3.2924)	Prec@1 20.312 (25.628)	Prec@5 46.875 (53.299)
Epoch: [40][1520/7045]	Time 0.369 (0.243)	Data 0.316 (0.180)	Loss 3.2173 (3.2925)	Prec@1 27.734 (25.629)	Prec@5 57.422 (53.299)
Epoch: [40][1530/7045]	Time 0.102 (0.243)	Data 0.002 (0.180)	Loss 3.1103 (3.2926)	Prec@1 31.641 (25.626)	Prec@5 57.812 (53.291)
Epoch: [40][1540/7045]	Time 0.351 (0.243)	Data 0.299 (0.180)	Loss 3.3341 (3.2928)	Prec@1 22.656 (25.617)	Prec@5 50.391 (53.287)
Epoch: [40][1550/7045]	Time 0.107 (0.243)	Data 0.055 (0.180)	Loss 3.2496 (3.2928)	Prec@1 25.391 (25.617)	Prec@5 55.078 (53.288)
Epoch: [40][1560/7045]	Time 0.390 (0.243)	Data 0.330 (0.180)	Loss 3.4316 (3.2928)	Prec@1 21.875 (25.617)	Prec@5 50.781 (53.292)
Epoch: [40][1570/7045]	Time 0.129 (0.243)	Data 0.078 (0.180)	Loss 3.3149 (3.2927)	Prec@1 27.734 (25.622)	Prec@5 52.344 (53.295)
Epoch: [40][1580/7045]	Time 0.422 (0.243)	Data 0.370 (0.180)	Loss 3.0556 (3.2926)	Prec@1 31.250 (25.627)	Prec@5 60.156 (53.296)
Epoch: [40][1590/7045]	Time 0.156 (0.243)	Data 0.104 (0.180)	Loss 3.3519 (3.2926)	Prec@1 24.609 (25.623)	Prec@5 50.781 (53.293)
Epoch: [40][1600/7045]	Time 0.393 (0.243)	Data 0.341 (0.180)	Loss 3.1789 (3.2923)	Prec@1 30.469 (25.630)	Prec@5 51.562 (53.293)
Epoch: [40][1610/7045]	Time 0.149 (0.243)	Data 0.099 (0.180)	Loss 3.2823 (3.2920)	Prec@1 28.906 (25.640)	Prec@5 53.125 (53.297)
Epoch: [40][1620/7045]	Time 0.484 (0.243)	Data 0.433 (0.180)	Loss 3.2975 (3.2918)	Prec@1 23.438 (25.640)	Prec@5 52.734 (53.305)
Epoch: [40][1630/7045]	Time 0.153 (0.243)	Data 0.103 (0.180)	Loss 3.2511 (3.2916)	Prec@1 24.609 (25.637)	Prec@5 57.422 (53.315)
Epoch: [40][1640/7045]	Time 0.523 (0.243)	Data 0.472 (0.180)	Loss 3.0160 (3.2915)	Prec@1 28.516 (25.639)	Prec@5 60.938 (53.317)
Epoch: [40][1650/7045]	Time 0.101 (0.243)	Data 0.048 (0.180)	Loss 3.5076 (3.2916)	Prec@1 21.875 (25.641)	Prec@5 47.656 (53.322)
Epoch: [40][1660/7045]	Time 0.480 (0.243)	Data 0.430 (0.180)	Loss 3.3386 (3.2918)	Prec@1 27.734 (25.641)	Prec@5 53.125 (53.311)
Epoch: [40][1670/7045]	Time 0.139 (0.243)	Data 0.089 (0.180)	Loss 3.3765 (3.2917)	Prec@1 21.875 (25.643)	Prec@5 49.609 (53.309)
Epoch: [40][1680/7045]	Time 0.505 (0.243)	Data 0.454 (0.180)	Loss 3.2808 (3.2912)	Prec@1 30.078 (25.649)	Prec@5 55.859 (53.317)
Epoch: [40][1690/7045]	Time 0.188 (0.243)	Data 0.138 (0.180)	Loss 3.3540 (3.2911)	Prec@1 23.438 (25.644)	Prec@5 50.000 (53.311)
Epoch: [40][1700/7045]	Time 0.523 (0.243)	Data 0.472 (0.180)	Loss 3.3174 (3.2910)	Prec@1 26.953 (25.647)	Prec@5 51.562 (53.310)
Epoch: [40][1710/7045]	Time 0.262 (0.243)	Data 0.211 (0.180)	Loss 3.3507 (3.2908)	Prec@1 25.781 (25.658)	Prec@5 52.344 (53.313)
Epoch: [40][1720/7045]	Time 0.318 (0.243)	Data 0.261 (0.180)	Loss 3.2751 (3.2906)	Prec@1 27.344 (25.667)	Prec@5 51.953 (53.315)
Epoch: [40][1730/7045]	Time 0.357 (0.243)	Data 0.306 (0.180)	Loss 3.2447 (3.2904)	Prec@1 28.906 (25.672)	Prec@5 56.641 (53.323)
Epoch: [40][1740/7045]	Time 0.387 (0.243)	Data 0.329 (0.180)	Loss 3.4225 (3.2903)	Prec@1 23.047 (25.679)	Prec@5 48.438 (53.328)
Epoch: [40][1750/7045]	Time 0.377 (0.243)	Data 0.320 (0.180)	Loss 3.3261 (3.2898)	Prec@1 27.734 (25.688)	Prec@5 54.297 (53.341)
Epoch: [40][1760/7045]	Time 0.352 (0.243)	Data 0.302 (0.180)	Loss 3.2420 (3.2899)	Prec@1 25.000 (25.686)	Prec@5 53.516 (53.338)
Epoch: [40][1770/7045]	Time 0.385 (0.243)	Data 0.325 (0.180)	Loss 3.3928 (3.2900)	Prec@1 26.562 (25.684)	Prec@5 48.438 (53.333)
Epoch: [40][1780/7045]	Time 0.362 (0.243)	Data 0.311 (0.180)	Loss 3.3031 (3.2901)	Prec@1 24.609 (25.679)	Prec@5 53.516 (53.333)
Epoch: [40][1790/7045]	Time 0.367 (0.243)	Data 0.316 (0.180)	Loss 3.4103 (3.2903)	Prec@1 23.047 (25.676)	Prec@5 46.094 (53.331)
Epoch: [40][1800/7045]	Time 0.283 (0.243)	Data 0.232 (0.180)	Loss 3.2340 (3.2905)	Prec@1 24.609 (25.670)	Prec@5 56.250 (53.330)
Epoch: [40][1810/7045]	Time 0.357 (0.243)	Data 0.306 (0.180)	Loss 3.2533 (3.2902)	Prec@1 25.000 (25.673)	Prec@5 55.469 (53.329)
Epoch: [40][1820/7045]	Time 0.197 (0.243)	Data 0.147 (0.180)	Loss 3.5879 (3.2901)	Prec@1 21.875 (25.672)	Prec@5 49.219 (53.337)
Epoch: [40][1830/7045]	Time 0.374 (0.243)	Data 0.322 (0.180)	Loss 3.2634 (3.2901)	Prec@1 23.438 (25.667)	Prec@5 54.688 (53.342)
Epoch: [40][1840/7045]	Time 0.117 (0.243)	Data 0.059 (0.180)	Loss 3.3267 (3.2904)	Prec@1 26.562 (25.666)	Prec@5 53.906 (53.338)
Epoch: [40][1850/7045]	Time 0.238 (0.243)	Data 0.189 (0.180)	Loss 3.1550 (3.2906)	Prec@1 25.781 (25.657)	Prec@5 56.641 (53.331)
Epoch: [40][1860/7045]	Time 0.203 (0.243)	Data 0.153 (0.180)	Loss 3.3222 (3.2905)	Prec@1 27.734 (25.658)	Prec@5 53.906 (53.334)
Epoch: [40][1870/7045]	Time 0.102 (0.243)	Data 0.005 (0.180)	Loss 3.4145 (3.2910)	Prec@1 28.516 (25.650)	Prec@5 53.125 (53.328)
Epoch: [40][1880/7045]	Time 0.454 (0.243)	Data 0.403 (0.180)	Loss 3.0892 (3.2909)	Prec@1 27.734 (25.651)	Prec@5 54.297 (53.326)
Epoch: [40][1890/7045]	Time 0.228 (0.243)	Data 0.171 (0.180)	Loss 3.0727 (3.2904)	Prec@1 30.859 (25.661)	Prec@5 57.812 (53.332)
Epoch: [40][1900/7045]	Time 0.454 (0.243)	Data 0.399 (0.180)	Loss 3.3272 (3.2903)	Prec@1 20.312 (25.658)	Prec@5 51.953 (53.338)
Epoch: [40][1910/7045]	Time 0.114 (0.243)	Data 0.062 (0.180)	Loss 3.2317 (3.2905)	Prec@1 25.000 (25.655)	Prec@5 51.953 (53.332)
Epoch: [40][1920/7045]	Time 0.327 (0.243)	Data 0.276 (0.180)	Loss 3.3089 (3.2906)	Prec@1 26.562 (25.659)	Prec@5 53.516 (53.328)
Epoch: [40][1930/7045]	Time 0.176 (0.243)	Data 0.126 (0.180)	Loss 3.1675 (3.2906)	Prec@1 28.125 (25.657)	Prec@5 51.953 (53.323)
Epoch: [40][1940/7045]	Time 0.100 (0.243)	Data 0.002 (0.180)	Loss 3.4141 (3.2904)	Prec@1 23.047 (25.665)	Prec@5 50.781 (53.325)
Epoch: [40][1950/7045]	Time 0.400 (0.243)	Data 0.349 (0.180)	Loss 3.2947 (3.2901)	Prec@1 25.781 (25.667)	Prec@5 53.125 (53.332)
Epoch: [40][1960/7045]	Time 0.208 (0.243)	Data 0.157 (0.180)	Loss 3.0326 (3.2899)	Prec@1 28.516 (25.665)	Prec@5 57.812 (53.340)
Epoch: [40][1970/7045]	Time 0.526 (0.243)	Data 0.468 (0.181)	Loss 3.1917 (3.2898)	Prec@1 27.344 (25.669)	Prec@5 56.641 (53.343)
Epoch: [40][1980/7045]	Time 0.186 (0.243)	Data 0.129 (0.181)	Loss 3.3456 (3.2898)	Prec@1 21.875 (25.671)	Prec@5 55.078 (53.350)
Epoch: [40][1990/7045]	Time 0.361 (0.243)	Data 0.310 (0.181)	Loss 3.4042 (3.2898)	Prec@1 23.047 (25.665)	Prec@5 53.906 (53.353)
Epoch: [40][2000/7045]	Time 0.102 (0.243)	Data 0.046 (0.181)	Loss 3.3360 (3.2897)	Prec@1 26.562 (25.667)	Prec@5 50.391 (53.351)
Epoch: [40][2010/7045]	Time 0.115 (0.243)	Data 0.064 (0.181)	Loss 3.2633 (3.2900)	Prec@1 24.609 (25.660)	Prec@5 55.469 (53.345)
Epoch: [40][2020/7045]	Time 0.107 (0.243)	Data 0.054 (0.181)	Loss 3.2918 (3.2899)	Prec@1 26.562 (25.660)	Prec@5 50.000 (53.348)
Epoch: [40][2030/7045]	Time 0.103 (0.243)	Data 0.001 (0.181)	Loss 3.1069 (3.2899)	Prec@1 32.812 (25.664)	Prec@5 60.938 (53.350)
Epoch: [40][2040/7045]	Time 0.155 (0.243)	Data 0.104 (0.181)	Loss 3.5533 (3.2902)	Prec@1 21.094 (25.662)	Prec@5 50.391 (53.347)
Epoch: [40][2050/7045]	Time 0.196 (0.243)	Data 0.144 (0.181)	Loss 3.2389 (3.2899)	Prec@1 29.297 (25.668)	Prec@5 53.516 (53.348)
Epoch: [40][2060/7045]	Time 0.295 (0.243)	Data 0.243 (0.181)	Loss 3.2859 (3.2899)	Prec@1 23.828 (25.662)	Prec@5 54.688 (53.350)
Epoch: [40][2070/7045]	Time 0.321 (0.243)	Data 0.270 (0.181)	Loss 3.2909 (3.2899)	Prec@1 25.781 (25.660)	Prec@5 50.781 (53.345)
Epoch: [40][2080/7045]	Time 0.355 (0.243)	Data 0.304 (0.181)	Loss 3.2309 (3.2899)	Prec@1 28.516 (25.656)	Prec@5 53.516 (53.346)
Epoch: [40][2090/7045]	Time 0.361 (0.243)	Data 0.302 (0.181)	Loss 3.1688 (3.2899)	Prec@1 26.172 (25.659)	Prec@5 55.078 (53.347)
Epoch: [40][2100/7045]	Time 0.370 (0.243)	Data 0.319 (0.181)	Loss 3.0622 (3.2895)	Prec@1 25.781 (25.665)	Prec@5 60.938 (53.360)
Epoch: [40][2110/7045]	Time 0.270 (0.243)	Data 0.217 (0.181)	Loss 3.0574 (3.2894)	Prec@1 28.125 (25.663)	Prec@5 58.984 (53.367)
Epoch: [40][2120/7045]	Time 0.417 (0.243)	Data 0.360 (0.181)	Loss 3.2286 (3.2895)	Prec@1 26.172 (25.663)	Prec@5 55.078 (53.363)
Epoch: [40][2130/7045]	Time 0.352 (0.243)	Data 0.301 (0.181)	Loss 3.1844 (3.2894)	Prec@1 31.250 (25.667)	Prec@5 56.250 (53.361)
Epoch: [40][2140/7045]	Time 0.432 (0.243)	Data 0.381 (0.181)	Loss 3.3248 (3.2893)	Prec@1 24.609 (25.666)	Prec@5 55.859 (53.364)
Epoch: [40][2150/7045]	Time 0.129 (0.243)	Data 0.078 (0.181)	Loss 3.3637 (3.2893)	Prec@1 23.828 (25.669)	Prec@5 52.344 (53.360)
Epoch: [40][2160/7045]	Time 0.161 (0.243)	Data 0.109 (0.181)	Loss 3.1739 (3.2893)	Prec@1 23.828 (25.668)	Prec@5 56.250 (53.358)
Epoch: [40][2170/7045]	Time 0.495 (0.244)	Data 0.443 (0.181)	Loss 3.2860 (3.2887)	Prec@1 25.781 (25.671)	Prec@5 51.953 (53.370)
Epoch: [40][2180/7045]	Time 0.102 (0.244)	Data 0.050 (0.181)	Loss 3.2145 (3.2885)	Prec@1 26.172 (25.677)	Prec@5 54.297 (53.371)
Epoch: [40][2190/7045]	Time 0.101 (0.244)	Data 0.014 (0.181)	Loss 3.3903 (3.2887)	Prec@1 23.438 (25.672)	Prec@5 48.438 (53.366)
Epoch: [40][2200/7045]	Time 0.111 (0.244)	Data 0.059 (0.182)	Loss 3.2998 (3.2889)	Prec@1 26.562 (25.671)	Prec@5 52.734 (53.359)
Epoch: [40][2210/7045]	Time 0.101 (0.244)	Data 0.047 (0.182)	Loss 3.1908 (3.2887)	Prec@1 25.391 (25.671)	Prec@5 52.734 (53.357)
Epoch: [40][2220/7045]	Time 0.473 (0.244)	Data 0.416 (0.182)	Loss 3.3945 (3.2886)	Prec@1 26.953 (25.675)	Prec@5 53.906 (53.363)
Epoch: [40][2230/7045]	Time 0.101 (0.244)	Data 0.048 (0.182)	Loss 3.2436 (3.2885)	Prec@1 25.000 (25.675)	Prec@5 55.469 (53.365)
Epoch: [40][2240/7045]	Time 0.546 (0.244)	Data 0.494 (0.182)	Loss 3.2246 (3.2885)	Prec@1 24.609 (25.675)	Prec@5 55.078 (53.364)
Epoch: [40][2250/7045]	Time 0.271 (0.244)	Data 0.220 (0.182)	Loss 3.3009 (3.2884)	Prec@1 25.000 (25.678)	Prec@5 53.516 (53.369)
Epoch: [40][2260/7045]	Time 0.368 (0.244)	Data 0.309 (0.182)	Loss 3.3745 (3.2882)	Prec@1 23.047 (25.679)	Prec@5 51.953 (53.372)
Epoch: [40][2270/7045]	Time 0.290 (0.244)	Data 0.238 (0.182)	Loss 3.2789 (3.2887)	Prec@1 27.734 (25.673)	Prec@5 52.344 (53.363)
Epoch: [40][2280/7045]	Time 0.101 (0.244)	Data 0.003 (0.182)	Loss 3.2197 (3.2886)	Prec@1 23.828 (25.670)	Prec@5 53.906 (53.368)
Epoch: [40][2290/7045]	Time 0.150 (0.244)	Data 0.099 (0.182)	Loss 3.3408 (3.2884)	Prec@1 26.172 (25.677)	Prec@5 48.828 (53.367)
Epoch: [40][2300/7045]	Time 0.143 (0.245)	Data 0.085 (0.183)	Loss 3.2335 (3.2885)	Prec@1 22.266 (25.671)	Prec@5 51.562 (53.367)
Epoch: [40][2310/7045]	Time 0.263 (0.245)	Data 0.212 (0.183)	Loss 3.3992 (3.2885)	Prec@1 24.609 (25.670)	Prec@5 52.344 (53.368)
Epoch: [40][2320/7045]	Time 0.279 (0.245)	Data 0.227 (0.183)	Loss 3.3609 (3.2887)	Prec@1 20.703 (25.664)	Prec@5 48.828 (53.363)
Epoch: [40][2330/7045]	Time 0.136 (0.245)	Data 0.085 (0.183)	Loss 3.2294 (3.2888)	Prec@1 26.172 (25.660)	Prec@5 54.297 (53.359)
Epoch: [40][2340/7045]	Time 0.101 (0.245)	Data 0.001 (0.183)	Loss 3.2669 (3.2889)	Prec@1 26.953 (25.660)	Prec@5 53.125 (53.355)
Epoch: [40][2350/7045]	Time 0.111 (0.245)	Data 0.001 (0.183)	Loss 3.3727 (3.2888)	Prec@1 23.438 (25.658)	Prec@5 52.734 (53.356)
Epoch: [40][2360/7045]	Time 0.186 (0.245)	Data 0.135 (0.183)	Loss 3.2098 (3.2887)	Prec@1 25.781 (25.655)	Prec@5 54.688 (53.358)
Epoch: [40][2370/7045]	Time 0.104 (0.245)	Data 0.006 (0.183)	Loss 3.1857 (3.2889)	Prec@1 25.391 (25.647)	Prec@5 55.078 (53.354)
Epoch: [40][2380/7045]	Time 0.193 (0.245)	Data 0.141 (0.183)	Loss 3.1969 (3.2890)	Prec@1 28.125 (25.651)	Prec@5 56.250 (53.348)
Epoch: [40][2390/7045]	Time 0.199 (0.245)	Data 0.147 (0.183)	Loss 3.3584 (3.2890)	Prec@1 24.219 (25.648)	Prec@5 52.734 (53.348)
Epoch: [40][2400/7045]	Time 0.549 (0.246)	Data 0.498 (0.184)	Loss 3.2945 (3.2892)	Prec@1 21.875 (25.644)	Prec@5 53.906 (53.343)
Epoch: [40][2410/7045]	Time 0.113 (0.246)	Data 0.061 (0.184)	Loss 3.3503 (3.2890)	Prec@1 27.734 (25.651)	Prec@5 54.688 (53.350)
Epoch: [40][2420/7045]	Time 0.553 (0.246)	Data 0.495 (0.184)	Loss 3.3037 (3.2888)	Prec@1 25.000 (25.651)	Prec@5 50.391 (53.356)
Epoch: [40][2430/7045]	Time 0.442 (0.246)	Data 0.390 (0.184)	Loss 3.2333 (3.2887)	Prec@1 22.656 (25.653)	Prec@5 55.078 (53.358)
Epoch: [40][2440/7045]	Time 0.310 (0.246)	Data 0.258 (0.184)	Loss 3.1382 (3.2885)	Prec@1 25.781 (25.654)	Prec@5 57.812 (53.360)
Epoch: [40][2450/7045]	Time 0.102 (0.246)	Data 0.016 (0.184)	Loss 3.4298 (3.2887)	Prec@1 23.047 (25.650)	Prec@5 55.859 (53.360)
Epoch: [40][2460/7045]	Time 0.374 (0.246)	Data 0.323 (0.184)	Loss 3.3513 (3.2887)	Prec@1 25.000 (25.649)	Prec@5 53.906 (53.362)
Epoch: [40][2470/7045]	Time 0.149 (0.246)	Data 0.097 (0.184)	Loss 3.2517 (3.2885)	Prec@1 26.953 (25.651)	Prec@5 54.688 (53.371)
Epoch: [40][2480/7045]	Time 0.601 (0.246)	Data 0.550 (0.184)	Loss 3.2649 (3.2884)	Prec@1 25.000 (25.650)	Prec@5 53.906 (53.375)
Epoch: [40][2490/7045]	Time 0.109 (0.246)	Data 0.058 (0.184)	Loss 3.1240 (3.2883)	Prec@1 31.641 (25.654)	Prec@5 59.766 (53.379)
Epoch: [40][2500/7045]	Time 0.451 (0.246)	Data 0.400 (0.184)	Loss 3.2573 (3.2883)	Prec@1 23.438 (25.652)	Prec@5 53.125 (53.379)
Epoch: [40][2510/7045]	Time 0.156 (0.246)	Data 0.104 (0.184)	Loss 3.3008 (3.2885)	Prec@1 25.391 (25.650)	Prec@5 53.906 (53.375)
Epoch: [40][2520/7045]	Time 0.158 (0.246)	Data 0.107 (0.185)	Loss 3.1669 (3.2884)	Prec@1 21.484 (25.652)	Prec@5 54.297 (53.376)
Epoch: [40][2530/7045]	Time 0.102 (0.247)	Data 0.006 (0.185)	Loss 3.3705 (3.2885)	Prec@1 25.781 (25.651)	Prec@5 51.953 (53.373)
Epoch: [40][2540/7045]	Time 0.196 (0.247)	Data 0.145 (0.185)	Loss 2.9801 (3.2886)	Prec@1 31.641 (25.651)	Prec@5 62.500 (53.373)
Epoch: [40][2550/7045]	Time 0.235 (0.247)	Data 0.178 (0.185)	Loss 3.3500 (3.2888)	Prec@1 21.484 (25.646)	Prec@5 51.562 (53.371)
Epoch: [40][2560/7045]	Time 0.278 (0.247)	Data 0.225 (0.185)	Loss 3.1509 (3.2888)	Prec@1 24.609 (25.645)	Prec@5 57.812 (53.370)
Epoch: [40][2570/7045]	Time 0.344 (0.247)	Data 0.293 (0.185)	Loss 3.2912 (3.2887)	Prec@1 27.734 (25.647)	Prec@5 53.125 (53.371)
Epoch: [40][2580/7045]	Time 0.377 (0.247)	Data 0.325 (0.185)	Loss 3.2788 (3.2887)	Prec@1 26.562 (25.649)	Prec@5 55.078 (53.373)
Epoch: [40][2590/7045]	Time 0.116 (0.247)	Data 0.065 (0.185)	Loss 3.3086 (3.2887)	Prec@1 23.047 (25.648)	Prec@5 51.953 (53.373)
Epoch: [40][2600/7045]	Time 0.110 (0.247)	Data 0.001 (0.185)	Loss 3.2231 (3.2885)	Prec@1 28.906 (25.648)	Prec@5 56.250 (53.375)
Epoch: [40][2610/7045]	Time 0.102 (0.247)	Data 0.045 (0.185)	Loss 3.2552 (3.2885)	Prec@1 24.609 (25.644)	Prec@5 56.250 (53.374)
Epoch: [40][2620/7045]	Time 0.382 (0.247)	Data 0.332 (0.185)	Loss 3.1931 (3.2887)	Prec@1 26.562 (25.640)	Prec@5 53.516 (53.371)
Epoch: [40][2630/7045]	Time 0.231 (0.247)	Data 0.179 (0.185)	Loss 3.2561 (3.2883)	Prec@1 28.516 (25.647)	Prec@5 54.688 (53.378)
Epoch: [40][2640/7045]	Time 0.590 (0.247)	Data 0.540 (0.185)	Loss 3.3229 (3.2882)	Prec@1 25.781 (25.649)	Prec@5 53.516 (53.385)
Epoch: [40][2650/7045]	Time 0.173 (0.247)	Data 0.122 (0.185)	Loss 3.2192 (3.2880)	Prec@1 26.953 (25.653)	Prec@5 49.609 (53.389)
Epoch: [40][2660/7045]	Time 0.669 (0.247)	Data 0.618 (0.185)	Loss 3.2565 (3.2881)	Prec@1 25.000 (25.651)	Prec@5 52.734 (53.386)
Epoch: [40][2670/7045]	Time 0.108 (0.247)	Data 0.001 (0.185)	Loss 3.2493 (3.2880)	Prec@1 23.047 (25.648)	Prec@5 55.078 (53.387)
Epoch: [40][2680/7045]	Time 0.649 (0.247)	Data 0.598 (0.185)	Loss 3.4475 (3.2883)	Prec@1 23.438 (25.647)	Prec@5 49.609 (53.381)
Epoch: [40][2690/7045]	Time 0.292 (0.247)	Data 0.240 (0.185)	Loss 3.3773 (3.2884)	Prec@1 23.047 (25.646)	Prec@5 52.344 (53.378)
Epoch: [40][2700/7045]	Time 0.640 (0.248)	Data 0.590 (0.186)	Loss 3.3023 (3.2883)	Prec@1 29.297 (25.646)	Prec@5 56.250 (53.376)
Epoch: [40][2710/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 3.1865 (3.2882)	Prec@1 28.516 (25.644)	Prec@5 56.250 (53.380)
Epoch: [40][2720/7045]	Time 0.453 (0.248)	Data 0.402 (0.186)	Loss 3.2435 (3.2883)	Prec@1 26.562 (25.647)	Prec@5 59.766 (53.380)
Epoch: [40][2730/7045]	Time 0.111 (0.248)	Data 0.001 (0.186)	Loss 3.4125 (3.2884)	Prec@1 23.438 (25.644)	Prec@5 50.000 (53.373)
Epoch: [40][2740/7045]	Time 0.342 (0.248)	Data 0.289 (0.186)	Loss 3.2246 (3.2884)	Prec@1 28.516 (25.644)	Prec@5 53.516 (53.372)
Epoch: [40][2750/7045]	Time 0.195 (0.248)	Data 0.135 (0.186)	Loss 3.1860 (3.2883)	Prec@1 26.562 (25.645)	Prec@5 57.031 (53.373)
Epoch: [40][2760/7045]	Time 0.203 (0.248)	Data 0.152 (0.186)	Loss 3.1997 (3.2882)	Prec@1 30.859 (25.646)	Prec@5 55.859 (53.375)
Epoch: [40][2770/7045]	Time 0.143 (0.248)	Data 0.091 (0.186)	Loss 3.4589 (3.2882)	Prec@1 23.047 (25.646)	Prec@5 49.609 (53.375)
Epoch: [40][2780/7045]	Time 0.101 (0.248)	Data 0.001 (0.186)	Loss 3.2891 (3.2881)	Prec@1 25.000 (25.650)	Prec@5 55.078 (53.379)
Epoch: [40][2790/7045]	Time 0.109 (0.248)	Data 0.001 (0.186)	Loss 3.1050 (3.2880)	Prec@1 29.688 (25.649)	Prec@5 60.547 (53.382)
Epoch: [40][2800/7045]	Time 0.102 (0.248)	Data 0.002 (0.186)	Loss 3.2853 (3.2878)	Prec@1 26.562 (25.651)	Prec@5 52.344 (53.385)
Epoch: [40][2810/7045]	Time 0.291 (0.248)	Data 0.240 (0.186)	Loss 3.3335 (3.2875)	Prec@1 21.875 (25.656)	Prec@5 51.172 (53.391)
Epoch: [40][2820/7045]	Time 0.153 (0.248)	Data 0.101 (0.186)	Loss 3.2093 (3.2872)	Prec@1 29.297 (25.658)	Prec@5 50.391 (53.397)
Epoch: [40][2830/7045]	Time 0.151 (0.248)	Data 0.099 (0.186)	Loss 3.1657 (3.2872)	Prec@1 28.906 (25.661)	Prec@5 58.203 (53.401)
Epoch: [40][2840/7045]	Time 0.106 (0.248)	Data 0.052 (0.186)	Loss 3.2395 (3.2871)	Prec@1 26.562 (25.660)	Prec@5 55.469 (53.399)
Epoch: [40][2850/7045]	Time 0.101 (0.248)	Data 0.002 (0.186)	Loss 3.3093 (3.2872)	Prec@1 23.828 (25.663)	Prec@5 51.172 (53.397)
Epoch: [40][2860/7045]	Time 0.102 (0.248)	Data 0.023 (0.186)	Loss 3.3690 (3.2871)	Prec@1 25.391 (25.665)	Prec@5 53.516 (53.400)
Epoch: [40][2870/7045]	Time 0.130 (0.248)	Data 0.077 (0.186)	Loss 3.2441 (3.2870)	Prec@1 28.906 (25.668)	Prec@5 55.469 (53.400)
Epoch: [40][2880/7045]	Time 0.251 (0.248)	Data 0.199 (0.186)	Loss 3.4110 (3.2872)	Prec@1 22.266 (25.665)	Prec@5 51.953 (53.398)
Epoch: [40][2890/7045]	Time 0.101 (0.248)	Data 0.047 (0.186)	Loss 3.3065 (3.2872)	Prec@1 26.172 (25.665)	Prec@5 54.688 (53.399)
Epoch: [40][2900/7045]	Time 0.143 (0.248)	Data 0.093 (0.186)	Loss 3.3340 (3.2873)	Prec@1 25.000 (25.661)	Prec@5 50.781 (53.397)
Epoch: [40][2910/7045]	Time 0.356 (0.248)	Data 0.304 (0.186)	Loss 3.5983 (3.2874)	Prec@1 17.188 (25.657)	Prec@5 44.531 (53.390)
Epoch: [40][2920/7045]	Time 0.106 (0.249)	Data 0.055 (0.186)	Loss 3.2333 (3.2876)	Prec@1 27.344 (25.654)	Prec@5 51.562 (53.384)
Epoch: [40][2930/7045]	Time 0.543 (0.249)	Data 0.491 (0.187)	Loss 3.3835 (3.2876)	Prec@1 24.609 (25.651)	Prec@5 51.172 (53.381)
Epoch: [40][2940/7045]	Time 0.288 (0.249)	Data 0.236 (0.187)	Loss 3.3978 (3.2876)	Prec@1 22.266 (25.649)	Prec@5 52.734 (53.381)
Epoch: [40][2950/7045]	Time 0.100 (0.249)	Data 0.007 (0.187)	Loss 3.0207 (3.2873)	Prec@1 29.688 (25.654)	Prec@5 59.375 (53.388)
Epoch: [40][2960/7045]	Time 0.471 (0.249)	Data 0.419 (0.187)	Loss 3.3199 (3.2874)	Prec@1 23.047 (25.653)	Prec@5 54.688 (53.383)
Epoch: [40][2970/7045]	Time 0.111 (0.249)	Data 0.060 (0.187)	Loss 3.3811 (3.2873)	Prec@1 25.000 (25.654)	Prec@5 51.172 (53.383)
Epoch: [40][2980/7045]	Time 0.260 (0.249)	Data 0.208 (0.187)	Loss 3.2267 (3.2876)	Prec@1 21.875 (25.647)	Prec@5 55.859 (53.379)
Epoch: [40][2990/7045]	Time 0.264 (0.249)	Data 0.213 (0.187)	Loss 3.4107 (3.2877)	Prec@1 25.000 (25.644)	Prec@5 50.391 (53.377)
Epoch: [40][3000/7045]	Time 0.118 (0.249)	Data 0.067 (0.187)	Loss 3.1612 (3.2876)	Prec@1 29.297 (25.648)	Prec@5 58.203 (53.384)
Epoch: [40][3010/7045]	Time 0.306 (0.249)	Data 0.255 (0.187)	Loss 3.1265 (3.2875)	Prec@1 27.734 (25.647)	Prec@5 57.422 (53.386)
Epoch: [40][3020/7045]	Time 0.102 (0.249)	Data 0.005 (0.187)	Loss 3.1406 (3.2872)	Prec@1 25.781 (25.651)	Prec@5 54.688 (53.393)
Epoch: [40][3030/7045]	Time 0.107 (0.249)	Data 0.054 (0.187)	Loss 3.1576 (3.2869)	Prec@1 26.953 (25.652)	Prec@5 54.297 (53.396)
Epoch: [40][3040/7045]	Time 0.101 (0.249)	Data 0.049 (0.187)	Loss 3.3346 (3.2869)	Prec@1 21.875 (25.651)	Prec@5 47.656 (53.394)
Epoch: [40][3050/7045]	Time 0.539 (0.249)	Data 0.487 (0.187)	Loss 3.2626 (3.2869)	Prec@1 26.172 (25.654)	Prec@5 52.734 (53.392)
Epoch: [40][3060/7045]	Time 0.111 (0.249)	Data 0.059 (0.187)	Loss 3.2244 (3.2870)	Prec@1 25.000 (25.649)	Prec@5 53.125 (53.390)
Epoch: [40][3070/7045]	Time 0.108 (0.249)	Data 0.056 (0.187)	Loss 3.4844 (3.2870)	Prec@1 23.828 (25.652)	Prec@5 46.094 (53.389)
Epoch: [40][3080/7045]	Time 0.166 (0.249)	Data 0.115 (0.187)	Loss 3.2174 (3.2870)	Prec@1 26.172 (25.653)	Prec@5 51.953 (53.391)
Epoch: [40][3090/7045]	Time 0.110 (0.249)	Data 0.058 (0.188)	Loss 3.3101 (3.2866)	Prec@1 23.047 (25.655)	Prec@5 49.219 (53.397)
Epoch: [40][3100/7045]	Time 0.103 (0.249)	Data 0.008 (0.187)	Loss 3.3084 (3.2866)	Prec@1 25.781 (25.655)	Prec@5 53.906 (53.400)
Epoch: [40][3110/7045]	Time 0.306 (0.250)	Data 0.253 (0.188)	Loss 3.4817 (3.2867)	Prec@1 24.219 (25.652)	Prec@5 47.266 (53.396)
Epoch: [40][3120/7045]	Time 0.524 (0.250)	Data 0.472 (0.188)	Loss 3.3021 (3.2864)	Prec@1 30.469 (25.660)	Prec@5 55.469 (53.402)
Epoch: [40][3130/7045]	Time 0.436 (0.250)	Data 0.385 (0.188)	Loss 3.1258 (3.2866)	Prec@1 28.125 (25.655)	Prec@5 55.078 (53.402)
Epoch: [40][3140/7045]	Time 0.108 (0.250)	Data 0.056 (0.188)	Loss 3.3133 (3.2868)	Prec@1 23.438 (25.654)	Prec@5 54.297 (53.396)
Epoch: [40][3150/7045]	Time 0.613 (0.250)	Data 0.561 (0.188)	Loss 3.3111 (3.2868)	Prec@1 21.484 (25.657)	Prec@5 51.562 (53.399)
Epoch: [40][3160/7045]	Time 0.101 (0.250)	Data 0.001 (0.188)	Loss 3.1852 (3.2868)	Prec@1 30.078 (25.660)	Prec@5 58.203 (53.401)
Epoch: [40][3170/7045]	Time 0.672 (0.250)	Data 0.621 (0.188)	Loss 3.1956 (3.2866)	Prec@1 26.172 (25.661)	Prec@5 54.297 (53.404)
Epoch: [40][3180/7045]	Time 0.103 (0.250)	Data 0.001 (0.188)	Loss 3.4238 (3.2866)	Prec@1 23.438 (25.663)	Prec@5 48.828 (53.401)
Epoch: [40][3190/7045]	Time 0.119 (0.250)	Data 0.062 (0.188)	Loss 3.0326 (3.2863)	Prec@1 31.641 (25.665)	Prec@5 62.500 (53.411)
Epoch: [40][3200/7045]	Time 0.102 (0.250)	Data 0.009 (0.187)	Loss 3.2459 (3.2863)	Prec@1 28.906 (25.665)	Prec@5 54.297 (53.409)
Epoch: [40][3210/7045]	Time 0.135 (0.250)	Data 0.084 (0.188)	Loss 3.1535 (3.2863)	Prec@1 28.125 (25.667)	Prec@5 54.688 (53.409)
Epoch: [40][3220/7045]	Time 0.145 (0.250)	Data 0.093 (0.188)	Loss 3.5472 (3.2862)	Prec@1 22.266 (25.669)	Prec@5 48.828 (53.412)
Epoch: [40][3230/7045]	Time 0.109 (0.250)	Data 0.007 (0.188)	Loss 3.3317 (3.2863)	Prec@1 30.859 (25.668)	Prec@5 53.516 (53.409)
Epoch: [40][3240/7045]	Time 0.152 (0.250)	Data 0.099 (0.188)	Loss 3.2098 (3.2865)	Prec@1 26.953 (25.666)	Prec@5 55.469 (53.407)
Epoch: [40][3250/7045]	Time 0.102 (0.250)	Data 0.001 (0.188)	Loss 3.3747 (3.2865)	Prec@1 24.219 (25.663)	Prec@5 47.266 (53.404)
Epoch: [40][3260/7045]	Time 0.101 (0.250)	Data 0.001 (0.188)	Loss 3.4082 (3.2867)	Prec@1 21.875 (25.661)	Prec@5 50.781 (53.400)
Epoch: [40][3270/7045]	Time 0.239 (0.250)	Data 0.188 (0.188)	Loss 3.2577 (3.2868)	Prec@1 26.172 (25.660)	Prec@5 53.125 (53.399)
Epoch: [40][3280/7045]	Time 0.137 (0.250)	Data 0.085 (0.188)	Loss 3.1629 (3.2867)	Prec@1 28.125 (25.661)	Prec@5 55.859 (53.403)
Epoch: [40][3290/7045]	Time 0.269 (0.250)	Data 0.217 (0.188)	Loss 3.3343 (3.2867)	Prec@1 23.047 (25.659)	Prec@5 53.906 (53.403)
Epoch: [40][3300/7045]	Time 0.348 (0.250)	Data 0.294 (0.188)	Loss 3.3811 (3.2867)	Prec@1 25.781 (25.658)	Prec@5 48.047 (53.404)
Epoch: [40][3310/7045]	Time 0.143 (0.250)	Data 0.092 (0.188)	Loss 3.5129 (3.2866)	Prec@1 20.703 (25.659)	Prec@5 49.609 (53.404)
Epoch: [40][3320/7045]	Time 0.530 (0.250)	Data 0.478 (0.188)	Loss 3.1625 (3.2866)	Prec@1 28.125 (25.658)	Prec@5 55.078 (53.402)
Epoch: [40][3330/7045]	Time 0.101 (0.250)	Data 0.001 (0.188)	Loss 3.2867 (3.2867)	Prec@1 25.000 (25.656)	Prec@5 52.344 (53.400)
Epoch: [40][3340/7045]	Time 0.642 (0.250)	Data 0.590 (0.188)	Loss 3.0475 (3.2864)	Prec@1 29.688 (25.657)	Prec@5 56.250 (53.403)
Epoch: [40][3350/7045]	Time 0.267 (0.250)	Data 0.216 (0.188)	Loss 3.2077 (3.2865)	Prec@1 23.828 (25.656)	Prec@5 53.906 (53.403)
Epoch: [40][3360/7045]	Time 0.396 (0.250)	Data 0.344 (0.188)	Loss 3.1352 (3.2865)	Prec@1 26.172 (25.653)	Prec@5 58.203 (53.403)
Epoch: [40][3370/7045]	Time 0.384 (0.250)	Data 0.331 (0.188)	Loss 3.3195 (3.2866)	Prec@1 25.000 (25.651)	Prec@5 53.906 (53.396)
Epoch: [40][3380/7045]	Time 0.102 (0.250)	Data 0.001 (0.188)	Loss 3.4452 (3.2867)	Prec@1 23.438 (25.650)	Prec@5 49.609 (53.394)
Epoch: [40][3390/7045]	Time 0.691 (0.250)	Data 0.639 (0.188)	Loss 3.2846 (3.2867)	Prec@1 23.438 (25.649)	Prec@5 50.000 (53.394)
Epoch: [40][3400/7045]	Time 0.307 (0.250)	Data 0.256 (0.188)	Loss 3.4306 (3.2868)	Prec@1 21.094 (25.648)	Prec@5 51.562 (53.393)
Epoch: [40][3410/7045]	Time 0.234 (0.250)	Data 0.184 (0.188)	Loss 3.1685 (3.2870)	Prec@1 26.172 (25.642)	Prec@5 55.859 (53.391)
Epoch: [40][3420/7045]	Time 0.367 (0.250)	Data 0.316 (0.188)	Loss 3.2001 (3.2868)	Prec@1 30.469 (25.644)	Prec@5 54.297 (53.395)
Epoch: [40][3430/7045]	Time 0.102 (0.250)	Data 0.001 (0.188)	Loss 3.4246 (3.2868)	Prec@1 25.000 (25.645)	Prec@5 52.734 (53.396)
Epoch: [40][3440/7045]	Time 0.566 (0.250)	Data 0.514 (0.188)	Loss 3.3190 (3.2868)	Prec@1 23.828 (25.643)	Prec@5 53.125 (53.398)
Epoch: [40][3450/7045]	Time 0.278 (0.250)	Data 0.225 (0.188)	Loss 3.4264 (3.2871)	Prec@1 26.953 (25.643)	Prec@5 52.344 (53.394)
Epoch: [40][3460/7045]	Time 0.243 (0.250)	Data 0.191 (0.188)	Loss 3.0871 (3.2869)	Prec@1 25.781 (25.644)	Prec@5 58.594 (53.396)
Epoch: [40][3470/7045]	Time 0.130 (0.250)	Data 0.079 (0.188)	Loss 3.3058 (3.2867)	Prec@1 28.516 (25.648)	Prec@5 50.000 (53.397)
Epoch: [40][3480/7045]	Time 0.110 (0.250)	Data 0.058 (0.188)	Loss 3.1256 (3.2868)	Prec@1 24.609 (25.644)	Prec@5 57.422 (53.395)
Epoch: [40][3490/7045]	Time 0.216 (0.250)	Data 0.159 (0.188)	Loss 3.3514 (3.2868)	Prec@1 22.266 (25.645)	Prec@5 52.734 (53.393)
Epoch: [40][3500/7045]	Time 0.101 (0.250)	Data 0.001 (0.188)	Loss 3.1898 (3.2868)	Prec@1 26.172 (25.643)	Prec@5 55.078 (53.392)
Epoch: [40][3510/7045]	Time 0.100 (0.250)	Data 0.048 (0.188)	Loss 3.1604 (3.2867)	Prec@1 24.219 (25.644)	Prec@5 53.125 (53.392)
Epoch: [40][3520/7045]	Time 0.101 (0.250)	Data 0.007 (0.188)	Loss 3.0822 (3.2866)	Prec@1 32.031 (25.647)	Prec@5 57.031 (53.394)
Epoch: [40][3530/7045]	Time 0.310 (0.250)	Data 0.259 (0.188)	Loss 3.3498 (3.2866)	Prec@1 21.094 (25.643)	Prec@5 51.953 (53.394)
Epoch: [40][3540/7045]	Time 0.102 (0.250)	Data 0.007 (0.188)	Loss 3.4129 (3.2868)	Prec@1 22.266 (25.641)	Prec@5 51.172 (53.389)
Epoch: [40][3550/7045]	Time 0.522 (0.250)	Data 0.470 (0.188)	Loss 3.3411 (3.2868)	Prec@1 26.172 (25.642)	Prec@5 51.172 (53.388)
Epoch: [40][3560/7045]	Time 0.101 (0.250)	Data 0.006 (0.188)	Loss 3.0930 (3.2867)	Prec@1 26.172 (25.642)	Prec@5 57.812 (53.391)
Epoch: [40][3570/7045]	Time 0.569 (0.250)	Data 0.516 (0.188)	Loss 3.5333 (3.2868)	Prec@1 22.656 (25.640)	Prec@5 48.438 (53.388)
Epoch: [40][3580/7045]	Time 0.165 (0.250)	Data 0.114 (0.188)	Loss 3.0003 (3.2867)	Prec@1 31.641 (25.642)	Prec@5 57.031 (53.392)
Epoch: [40][3590/7045]	Time 0.341 (0.250)	Data 0.289 (0.188)	Loss 3.2340 (3.2865)	Prec@1 23.828 (25.646)	Prec@5 56.250 (53.395)
Epoch: [40][3600/7045]	Time 0.348 (0.250)	Data 0.291 (0.188)	Loss 3.2474 (3.2865)	Prec@1 26.562 (25.647)	Prec@5 51.562 (53.395)
Epoch: [40][3610/7045]	Time 0.348 (0.250)	Data 0.297 (0.188)	Loss 3.3417 (3.2865)	Prec@1 21.875 (25.648)	Prec@5 54.297 (53.394)
Epoch: [40][3620/7045]	Time 0.545 (0.250)	Data 0.493 (0.188)	Loss 3.1510 (3.2864)	Prec@1 30.078 (25.652)	Prec@5 53.906 (53.397)
Epoch: [40][3630/7045]	Time 0.272 (0.250)	Data 0.220 (0.188)	Loss 3.1794 (3.2863)	Prec@1 28.516 (25.652)	Prec@5 57.031 (53.400)
Epoch: [40][3640/7045]	Time 0.463 (0.250)	Data 0.411 (0.188)	Loss 3.4066 (3.2863)	Prec@1 23.438 (25.651)	Prec@5 53.906 (53.398)
Epoch: [40][3650/7045]	Time 0.102 (0.250)	Data 0.001 (0.188)	Loss 3.4726 (3.2863)	Prec@1 24.609 (25.654)	Prec@5 50.391 (53.402)
Epoch: [40][3660/7045]	Time 0.486 (0.250)	Data 0.434 (0.188)	Loss 3.2868 (3.2862)	Prec@1 23.828 (25.652)	Prec@5 55.859 (53.405)
Epoch: [40][3670/7045]	Time 0.163 (0.250)	Data 0.112 (0.188)	Loss 3.3927 (3.2863)	Prec@1 26.953 (25.656)	Prec@5 48.438 (53.405)
Epoch: [40][3680/7045]	Time 0.401 (0.250)	Data 0.351 (0.188)	Loss 3.4687 (3.2865)	Prec@1 21.484 (25.652)	Prec@5 52.734 (53.403)
Epoch: [40][3690/7045]	Time 0.131 (0.250)	Data 0.080 (0.188)	Loss 3.5574 (3.2866)	Prec@1 19.141 (25.652)	Prec@5 48.047 (53.401)
Epoch: [40][3700/7045]	Time 0.200 (0.250)	Data 0.149 (0.188)	Loss 3.4479 (3.2868)	Prec@1 22.656 (25.646)	Prec@5 49.219 (53.399)
Epoch: [40][3710/7045]	Time 0.210 (0.250)	Data 0.158 (0.188)	Loss 3.2421 (3.2868)	Prec@1 26.172 (25.647)	Prec@5 55.078 (53.401)
Epoch: [40][3720/7045]	Time 0.235 (0.250)	Data 0.184 (0.188)	Loss 3.2365 (3.2869)	Prec@1 23.047 (25.647)	Prec@5 55.078 (53.398)
Epoch: [40][3730/7045]	Time 0.109 (0.250)	Data 0.058 (0.188)	Loss 3.3695 (3.2867)	Prec@1 25.391 (25.652)	Prec@5 52.734 (53.403)
Epoch: [40][3740/7045]	Time 0.645 (0.250)	Data 0.592 (0.188)	Loss 3.1728 (3.2868)	Prec@1 27.344 (25.651)	Prec@5 53.906 (53.399)
Epoch: [40][3750/7045]	Time 0.294 (0.250)	Data 0.237 (0.188)	Loss 3.1993 (3.2868)	Prec@1 30.859 (25.653)	Prec@5 58.203 (53.398)
Epoch: [40][3760/7045]	Time 0.495 (0.250)	Data 0.443 (0.188)	Loss 3.3863 (3.2867)	Prec@1 25.391 (25.655)	Prec@5 48.438 (53.397)
Epoch: [40][3770/7045]	Time 0.363 (0.250)	Data 0.311 (0.188)	Loss 3.1100 (3.2866)	Prec@1 29.297 (25.658)	Prec@5 55.469 (53.399)
Epoch: [40][3780/7045]	Time 0.131 (0.250)	Data 0.074 (0.188)	Loss 3.3504 (3.2866)	Prec@1 26.953 (25.657)	Prec@5 51.172 (53.398)
Epoch: [40][3790/7045]	Time 0.102 (0.250)	Data 0.006 (0.188)	Loss 3.1591 (3.2865)	Prec@1 26.953 (25.657)	Prec@5 57.812 (53.401)
Epoch: [40][3800/7045]	Time 0.315 (0.251)	Data 0.263 (0.188)	Loss 3.1174 (3.2865)	Prec@1 27.734 (25.656)	Prec@5 58.203 (53.400)
Epoch: [40][3810/7045]	Time 0.148 (0.250)	Data 0.097 (0.188)	Loss 3.3015 (3.2867)	Prec@1 25.000 (25.655)	Prec@5 51.953 (53.397)
Epoch: [40][3820/7045]	Time 0.828 (0.251)	Data 0.776 (0.188)	Loss 3.0874 (3.2865)	Prec@1 28.516 (25.658)	Prec@5 57.422 (53.405)
Epoch: [40][3830/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 3.2992 (3.2866)	Prec@1 23.047 (25.658)	Prec@5 51.562 (53.401)
Epoch: [40][3840/7045]	Time 0.410 (0.251)	Data 0.358 (0.188)	Loss 3.3971 (3.2866)	Prec@1 25.000 (25.658)	Prec@5 53.516 (53.400)
Epoch: [40][3850/7045]	Time 0.628 (0.251)	Data 0.576 (0.189)	Loss 3.2643 (3.2866)	Prec@1 25.391 (25.660)	Prec@5 55.859 (53.402)
Epoch: [40][3860/7045]	Time 0.147 (0.251)	Data 0.096 (0.188)	Loss 3.2351 (3.2866)	Prec@1 25.781 (25.659)	Prec@5 55.078 (53.404)
Epoch: [40][3870/7045]	Time 0.476 (0.251)	Data 0.425 (0.189)	Loss 3.2436 (3.2865)	Prec@1 30.469 (25.661)	Prec@5 53.125 (53.408)
Epoch: [40][3880/7045]	Time 0.465 (0.251)	Data 0.407 (0.189)	Loss 3.3023 (3.2865)	Prec@1 27.734 (25.661)	Prec@5 52.734 (53.404)
Epoch: [40][3890/7045]	Time 0.168 (0.251)	Data 0.115 (0.189)	Loss 3.1365 (3.2865)	Prec@1 26.953 (25.662)	Prec@5 55.859 (53.405)
Epoch: [40][3900/7045]	Time 0.896 (0.251)	Data 0.844 (0.189)	Loss 3.2447 (3.2865)	Prec@1 26.953 (25.661)	Prec@5 53.906 (53.405)
Epoch: [40][3910/7045]	Time 0.102 (0.251)	Data 0.001 (0.189)	Loss 3.2749 (3.2863)	Prec@1 30.859 (25.665)	Prec@5 54.297 (53.409)
Epoch: [40][3920/7045]	Time 0.389 (0.251)	Data 0.337 (0.189)	Loss 3.3159 (3.2864)	Prec@1 22.266 (25.663)	Prec@5 55.859 (53.407)
Epoch: [40][3930/7045]	Time 0.384 (0.251)	Data 0.333 (0.189)	Loss 3.2820 (3.2865)	Prec@1 26.172 (25.662)	Prec@5 54.688 (53.408)
Epoch: [40][3940/7045]	Time 0.212 (0.251)	Data 0.161 (0.189)	Loss 3.2567 (3.2866)	Prec@1 23.438 (25.658)	Prec@5 49.609 (53.406)
Epoch: [40][3950/7045]	Time 0.233 (0.251)	Data 0.182 (0.189)	Loss 3.1401 (3.2866)	Prec@1 27.734 (25.656)	Prec@5 55.859 (53.404)
Epoch: [40][3960/7045]	Time 0.303 (0.251)	Data 0.251 (0.189)	Loss 3.0710 (3.2864)	Prec@1 28.125 (25.656)	Prec@5 56.641 (53.406)
Epoch: [40][3970/7045]	Time 0.234 (0.251)	Data 0.182 (0.189)	Loss 3.0038 (3.2864)	Prec@1 28.125 (25.657)	Prec@5 58.594 (53.405)
Epoch: [40][3980/7045]	Time 0.175 (0.251)	Data 0.124 (0.189)	Loss 3.4919 (3.2865)	Prec@1 24.219 (25.654)	Prec@5 48.047 (53.404)
Epoch: [40][3990/7045]	Time 0.273 (0.251)	Data 0.220 (0.189)	Loss 3.4496 (3.2866)	Prec@1 23.828 (25.651)	Prec@5 51.953 (53.402)
Epoch: [40][4000/7045]	Time 0.130 (0.251)	Data 0.078 (0.189)	Loss 3.2859 (3.2867)	Prec@1 24.609 (25.651)	Prec@5 52.734 (53.399)
Epoch: [40][4010/7045]	Time 0.424 (0.251)	Data 0.371 (0.189)	Loss 3.3176 (3.2865)	Prec@1 24.219 (25.656)	Prec@5 51.953 (53.405)
Epoch: [40][4020/7045]	Time 0.221 (0.251)	Data 0.170 (0.189)	Loss 3.1859 (3.2864)	Prec@1 25.000 (25.655)	Prec@5 55.078 (53.410)
Epoch: [40][4030/7045]	Time 0.254 (0.251)	Data 0.203 (0.189)	Loss 3.2953 (3.2864)	Prec@1 21.094 (25.653)	Prec@5 51.953 (53.407)
Epoch: [40][4040/7045]	Time 0.263 (0.251)	Data 0.211 (0.189)	Loss 3.2652 (3.2864)	Prec@1 25.000 (25.653)	Prec@5 54.297 (53.407)
Epoch: [40][4050/7045]	Time 0.100 (0.251)	Data 0.008 (0.189)	Loss 3.3093 (3.2865)	Prec@1 27.734 (25.657)	Prec@5 53.516 (53.407)
Epoch: [40][4060/7045]	Time 0.177 (0.251)	Data 0.124 (0.189)	Loss 3.1578 (3.2864)	Prec@1 24.219 (25.655)	Prec@5 57.422 (53.409)
Epoch: [40][4070/7045]	Time 0.214 (0.251)	Data 0.163 (0.189)	Loss 3.6481 (3.2865)	Prec@1 19.922 (25.652)	Prec@5 46.094 (53.406)
Epoch: [40][4080/7045]	Time 0.125 (0.251)	Data 0.073 (0.189)	Loss 3.2229 (3.2864)	Prec@1 27.344 (25.652)	Prec@5 56.641 (53.409)
Epoch: [40][4090/7045]	Time 0.436 (0.251)	Data 0.386 (0.189)	Loss 3.3441 (3.2865)	Prec@1 28.906 (25.654)	Prec@5 51.172 (53.409)
Epoch: [40][4100/7045]	Time 0.198 (0.251)	Data 0.146 (0.189)	Loss 3.0827 (3.2866)	Prec@1 32.812 (25.654)	Prec@5 58.594 (53.411)
Epoch: [40][4110/7045]	Time 0.660 (0.251)	Data 0.608 (0.189)	Loss 3.2503 (3.2865)	Prec@1 25.781 (25.655)	Prec@5 56.641 (53.411)
Epoch: [40][4120/7045]	Time 0.101 (0.251)	Data 0.049 (0.189)	Loss 3.4006 (3.2866)	Prec@1 25.781 (25.654)	Prec@5 48.047 (53.408)
Epoch: [40][4130/7045]	Time 0.122 (0.251)	Data 0.070 (0.189)	Loss 3.5678 (3.2866)	Prec@1 24.609 (25.653)	Prec@5 49.609 (53.406)
Epoch: [40][4140/7045]	Time 0.110 (0.251)	Data 0.001 (0.189)	Loss 3.3963 (3.2868)	Prec@1 22.266 (25.650)	Prec@5 48.438 (53.402)
Epoch: [40][4150/7045]	Time 0.253 (0.251)	Data 0.201 (0.189)	Loss 3.2900 (3.2868)	Prec@1 23.047 (25.651)	Prec@5 52.344 (53.403)
Epoch: [40][4160/7045]	Time 0.118 (0.251)	Data 0.065 (0.189)	Loss 3.3187 (3.2869)	Prec@1 26.562 (25.648)	Prec@5 54.688 (53.399)
Epoch: [40][4170/7045]	Time 0.110 (0.251)	Data 0.057 (0.189)	Loss 3.3781 (3.2869)	Prec@1 28.516 (25.650)	Prec@5 55.859 (53.399)
Epoch: [40][4180/7045]	Time 0.101 (0.251)	Data 0.001 (0.189)	Loss 3.3289 (3.2868)	Prec@1 28.516 (25.653)	Prec@5 53.125 (53.403)
Epoch: [40][4190/7045]	Time 0.103 (0.251)	Data 0.001 (0.189)	Loss 3.2438 (3.2868)	Prec@1 28.125 (25.654)	Prec@5 53.906 (53.403)
Epoch: [40][4200/7045]	Time 0.207 (0.251)	Data 0.148 (0.189)	Loss 3.1320 (3.2868)	Prec@1 30.469 (25.655)	Prec@5 58.594 (53.403)
Epoch: [40][4210/7045]	Time 0.317 (0.251)	Data 0.264 (0.189)	Loss 3.2487 (3.2868)	Prec@1 25.000 (25.653)	Prec@5 56.641 (53.404)
Epoch: [40][4220/7045]	Time 0.111 (0.251)	Data 0.059 (0.189)	Loss 3.2588 (3.2866)	Prec@1 24.219 (25.656)	Prec@5 54.688 (53.407)
Epoch: [40][4230/7045]	Time 0.571 (0.252)	Data 0.519 (0.189)	Loss 3.3192 (3.2868)	Prec@1 24.219 (25.651)	Prec@5 53.906 (53.404)
Epoch: [40][4240/7045]	Time 0.108 (0.251)	Data 0.056 (0.189)	Loss 3.2264 (3.2868)	Prec@1 25.000 (25.652)	Prec@5 52.344 (53.404)
Epoch: [40][4250/7045]	Time 0.591 (0.252)	Data 0.535 (0.189)	Loss 3.0811 (3.2867)	Prec@1 29.297 (25.654)	Prec@5 57.031 (53.407)
Epoch: [40][4260/7045]	Time 0.109 (0.251)	Data 0.057 (0.189)	Loss 3.0120 (3.2866)	Prec@1 29.688 (25.656)	Prec@5 59.375 (53.410)
Epoch: [40][4270/7045]	Time 0.252 (0.251)	Data 0.198 (0.189)	Loss 3.1662 (3.2865)	Prec@1 25.391 (25.658)	Prec@5 56.641 (53.411)
Epoch: [40][4280/7045]	Time 0.441 (0.252)	Data 0.390 (0.189)	Loss 3.2644 (3.2865)	Prec@1 23.438 (25.657)	Prec@5 53.125 (53.410)
Epoch: [40][4290/7045]	Time 0.110 (0.252)	Data 0.051 (0.189)	Loss 3.0954 (3.2866)	Prec@1 30.469 (25.657)	Prec@5 56.641 (53.406)
Epoch: [40][4300/7045]	Time 0.287 (0.252)	Data 0.235 (0.189)	Loss 3.2011 (3.2865)	Prec@1 29.688 (25.660)	Prec@5 59.375 (53.408)
Epoch: [40][4310/7045]	Time 0.103 (0.252)	Data 0.019 (0.189)	Loss 3.2496 (3.2864)	Prec@1 28.516 (25.661)	Prec@5 53.516 (53.410)
Epoch: [40][4320/7045]	Time 0.109 (0.252)	Data 0.001 (0.189)	Loss 3.0525 (3.2865)	Prec@1 27.734 (25.663)	Prec@5 55.859 (53.408)
Epoch: [40][4330/7045]	Time 0.546 (0.252)	Data 0.489 (0.190)	Loss 3.3995 (3.2865)	Prec@1 20.312 (25.662)	Prec@5 52.734 (53.408)
Epoch: [40][4340/7045]	Time 0.102 (0.252)	Data 0.001 (0.189)	Loss 3.4512 (3.2865)	Prec@1 21.484 (25.662)	Prec@5 51.172 (53.408)
Epoch: [40][4350/7045]	Time 0.410 (0.252)	Data 0.357 (0.190)	Loss 3.2384 (3.2863)	Prec@1 25.391 (25.665)	Prec@5 54.297 (53.408)
Epoch: [40][4360/7045]	Time 0.108 (0.252)	Data 0.009 (0.189)	Loss 3.0821 (3.2864)	Prec@1 30.078 (25.664)	Prec@5 57.812 (53.407)
Epoch: [40][4370/7045]	Time 0.309 (0.252)	Data 0.258 (0.190)	Loss 3.3093 (3.2865)	Prec@1 30.078 (25.663)	Prec@5 54.688 (53.406)
Epoch: [40][4380/7045]	Time 0.136 (0.252)	Data 0.085 (0.190)	Loss 3.3425 (3.2866)	Prec@1 24.609 (25.664)	Prec@5 53.125 (53.405)
Epoch: [40][4390/7045]	Time 0.106 (0.252)	Data 0.055 (0.190)	Loss 3.2409 (3.2865)	Prec@1 30.859 (25.666)	Prec@5 52.344 (53.406)
Epoch: [40][4400/7045]	Time 0.356 (0.252)	Data 0.305 (0.190)	Loss 3.3816 (3.2865)	Prec@1 26.562 (25.665)	Prec@5 53.906 (53.407)
Epoch: [40][4410/7045]	Time 0.102 (0.252)	Data 0.001 (0.190)	Loss 3.3562 (3.2865)	Prec@1 23.047 (25.666)	Prec@5 52.344 (53.409)
Epoch: [40][4420/7045]	Time 0.479 (0.252)	Data 0.428 (0.190)	Loss 3.4052 (3.2866)	Prec@1 25.000 (25.662)	Prec@5 50.781 (53.406)
Epoch: [40][4430/7045]	Time 0.139 (0.252)	Data 0.078 (0.190)	Loss 3.3161 (3.2866)	Prec@1 24.609 (25.661)	Prec@5 57.422 (53.405)
Epoch: [40][4440/7045]	Time 0.484 (0.252)	Data 0.432 (0.190)	Loss 3.3888 (3.2866)	Prec@1 23.828 (25.662)	Prec@5 50.781 (53.404)
Epoch: [40][4450/7045]	Time 0.101 (0.252)	Data 0.006 (0.190)	Loss 3.2641 (3.2866)	Prec@1 26.172 (25.661)	Prec@5 53.906 (53.405)
Epoch: [40][4460/7045]	Time 0.469 (0.252)	Data 0.418 (0.190)	Loss 3.4745 (3.2866)	Prec@1 23.047 (25.661)	Prec@5 51.953 (53.404)
Epoch: [40][4470/7045]	Time 0.191 (0.252)	Data 0.140 (0.190)	Loss 3.3214 (3.2866)	Prec@1 26.562 (25.664)	Prec@5 56.250 (53.403)
Epoch: [40][4480/7045]	Time 0.384 (0.252)	Data 0.331 (0.190)	Loss 3.3058 (3.2864)	Prec@1 22.656 (25.664)	Prec@5 51.953 (53.409)
Epoch: [40][4490/7045]	Time 0.102 (0.252)	Data 0.049 (0.190)	Loss 3.2657 (3.2863)	Prec@1 25.781 (25.665)	Prec@5 54.297 (53.411)
Epoch: [40][4500/7045]	Time 0.182 (0.252)	Data 0.130 (0.190)	Loss 3.2973 (3.2863)	Prec@1 26.953 (25.664)	Prec@5 55.078 (53.410)
Epoch: [40][4510/7045]	Time 0.279 (0.252)	Data 0.229 (0.190)	Loss 3.3612 (3.2863)	Prec@1 24.609 (25.665)	Prec@5 51.953 (53.408)
Epoch: [40][4520/7045]	Time 0.495 (0.252)	Data 0.444 (0.190)	Loss 3.3047 (3.2863)	Prec@1 30.078 (25.666)	Prec@5 52.734 (53.407)
Epoch: [40][4530/7045]	Time 0.129 (0.252)	Data 0.078 (0.190)	Loss 3.3004 (3.2863)	Prec@1 23.438 (25.666)	Prec@5 50.000 (53.408)
Epoch: [40][4540/7045]	Time 0.430 (0.252)	Data 0.378 (0.190)	Loss 3.2206 (3.2861)	Prec@1 25.391 (25.669)	Prec@5 52.734 (53.410)
Epoch: [40][4550/7045]	Time 0.211 (0.252)	Data 0.160 (0.190)	Loss 3.0977 (3.2859)	Prec@1 30.469 (25.672)	Prec@5 51.562 (53.416)
Epoch: [40][4560/7045]	Time 0.160 (0.252)	Data 0.109 (0.190)	Loss 3.4201 (3.2859)	Prec@1 25.781 (25.674)	Prec@5 50.391 (53.414)
Epoch: [40][4570/7045]	Time 0.262 (0.252)	Data 0.210 (0.190)	Loss 3.1614 (3.2860)	Prec@1 26.953 (25.674)	Prec@5 54.297 (53.412)
Epoch: [40][4580/7045]	Time 0.228 (0.252)	Data 0.171 (0.190)	Loss 3.5278 (3.2858)	Prec@1 23.828 (25.678)	Prec@5 48.828 (53.415)
Epoch: [40][4590/7045]	Time 0.332 (0.252)	Data 0.282 (0.190)	Loss 3.2043 (3.2857)	Prec@1 28.516 (25.679)	Prec@5 52.734 (53.418)
Epoch: [40][4600/7045]	Time 0.102 (0.252)	Data 0.047 (0.190)	Loss 3.1657 (3.2857)	Prec@1 25.391 (25.678)	Prec@5 53.906 (53.417)
Epoch: [40][4610/7045]	Time 0.759 (0.252)	Data 0.708 (0.190)	Loss 3.1603 (3.2856)	Prec@1 25.781 (25.680)	Prec@5 55.078 (53.418)
Epoch: [40][4620/7045]	Time 0.160 (0.252)	Data 0.109 (0.190)	Loss 3.5159 (3.2858)	Prec@1 19.141 (25.677)	Prec@5 48.047 (53.414)
Epoch: [40][4630/7045]	Time 0.575 (0.252)	Data 0.524 (0.190)	Loss 3.2434 (3.2858)	Prec@1 26.562 (25.676)	Prec@5 54.297 (53.412)
Epoch: [40][4640/7045]	Time 0.254 (0.252)	Data 0.204 (0.190)	Loss 3.3720 (3.2860)	Prec@1 22.656 (25.675)	Prec@5 49.219 (53.409)
Epoch: [40][4650/7045]	Time 0.408 (0.252)	Data 0.356 (0.190)	Loss 3.2643 (3.2860)	Prec@1 25.781 (25.675)	Prec@5 51.953 (53.407)
Epoch: [40][4660/7045]	Time 0.466 (0.252)	Data 0.415 (0.190)	Loss 3.4903 (3.2859)	Prec@1 21.875 (25.676)	Prec@5 50.000 (53.410)
Epoch: [40][4670/7045]	Time 0.101 (0.252)	Data 0.004 (0.190)	Loss 3.4684 (3.2860)	Prec@1 22.656 (25.675)	Prec@5 47.656 (53.407)
Epoch: [40][4680/7045]	Time 0.410 (0.252)	Data 0.359 (0.190)	Loss 3.5328 (3.2859)	Prec@1 23.438 (25.677)	Prec@5 50.391 (53.410)
Epoch: [40][4690/7045]	Time 0.162 (0.252)	Data 0.110 (0.190)	Loss 3.3921 (3.2858)	Prec@1 30.078 (25.678)	Prec@5 53.516 (53.412)
Epoch: [40][4700/7045]	Time 0.300 (0.252)	Data 0.249 (0.190)	Loss 3.1500 (3.2858)	Prec@1 28.125 (25.675)	Prec@5 58.594 (53.411)
Epoch: [40][4710/7045]	Time 0.190 (0.252)	Data 0.132 (0.190)	Loss 3.3126 (3.2857)	Prec@1 24.219 (25.679)	Prec@5 56.250 (53.417)
Epoch: [40][4720/7045]	Time 0.308 (0.252)	Data 0.254 (0.190)	Loss 2.9796 (3.2856)	Prec@1 29.688 (25.679)	Prec@5 60.938 (53.418)
Epoch: [40][4730/7045]	Time 0.160 (0.252)	Data 0.110 (0.190)	Loss 3.2964 (3.2858)	Prec@1 23.828 (25.677)	Prec@5 55.078 (53.416)
Epoch: [40][4740/7045]	Time 0.371 (0.252)	Data 0.320 (0.190)	Loss 3.2166 (3.2858)	Prec@1 28.125 (25.677)	Prec@5 55.469 (53.417)
Epoch: [40][4750/7045]	Time 0.125 (0.252)	Data 0.073 (0.190)	Loss 3.1822 (3.2857)	Prec@1 27.344 (25.678)	Prec@5 56.250 (53.417)
Epoch: [40][4760/7045]	Time 0.446 (0.252)	Data 0.395 (0.190)	Loss 3.4262 (3.2858)	Prec@1 23.047 (25.679)	Prec@5 46.875 (53.417)
Epoch: [40][4770/7045]	Time 0.102 (0.252)	Data 0.001 (0.190)	Loss 3.3025 (3.2858)	Prec@1 24.609 (25.679)	Prec@5 53.516 (53.416)
Epoch: [40][4780/7045]	Time 0.529 (0.252)	Data 0.477 (0.190)	Loss 3.2033 (3.2857)	Prec@1 23.438 (25.678)	Prec@5 56.250 (53.416)
Epoch: [40][4790/7045]	Time 0.203 (0.252)	Data 0.153 (0.190)	Loss 3.3573 (3.2856)	Prec@1 23.047 (25.679)	Prec@5 53.906 (53.418)
Epoch: [40][4800/7045]	Time 0.269 (0.252)	Data 0.218 (0.190)	Loss 3.3528 (3.2855)	Prec@1 28.125 (25.682)	Prec@5 53.906 (53.420)
Epoch: [40][4810/7045]	Time 0.101 (0.252)	Data 0.001 (0.190)	Loss 3.3816 (3.2855)	Prec@1 26.562 (25.682)	Prec@5 52.734 (53.419)
Epoch: [40][4820/7045]	Time 0.116 (0.252)	Data 0.063 (0.190)	Loss 3.1596 (3.2855)	Prec@1 27.734 (25.680)	Prec@5 55.859 (53.421)
Epoch: [40][4830/7045]	Time 0.112 (0.252)	Data 0.058 (0.190)	Loss 3.2698 (3.2855)	Prec@1 25.000 (25.680)	Prec@5 54.297 (53.420)
Epoch: [40][4840/7045]	Time 0.385 (0.252)	Data 0.333 (0.190)	Loss 3.1869 (3.2855)	Prec@1 26.562 (25.681)	Prec@5 54.688 (53.420)
Epoch: [40][4850/7045]	Time 0.253 (0.252)	Data 0.201 (0.190)	Loss 3.3504 (3.2853)	Prec@1 26.953 (25.684)	Prec@5 53.516 (53.425)
Epoch: [40][4860/7045]	Time 0.389 (0.252)	Data 0.337 (0.190)	Loss 3.1940 (3.2853)	Prec@1 25.781 (25.685)	Prec@5 55.469 (53.426)
Epoch: [40][4870/7045]	Time 0.165 (0.252)	Data 0.113 (0.190)	Loss 3.5824 (3.2854)	Prec@1 23.047 (25.685)	Prec@5 47.656 (53.425)
Epoch: [40][4880/7045]	Time 0.643 (0.252)	Data 0.591 (0.190)	Loss 3.1582 (3.2853)	Prec@1 26.562 (25.685)	Prec@5 51.562 (53.425)
Epoch: [40][4890/7045]	Time 0.097 (0.252)	Data 0.001 (0.190)	Loss 3.1729 (3.2853)	Prec@1 30.469 (25.687)	Prec@5 59.375 (53.426)
Epoch: [40][4900/7045]	Time 0.657 (0.252)	Data 0.606 (0.190)	Loss 3.4271 (3.2854)	Prec@1 23.047 (25.685)	Prec@5 48.828 (53.423)
Epoch: [40][4910/7045]	Time 0.170 (0.252)	Data 0.119 (0.190)	Loss 3.2802 (3.2854)	Prec@1 24.219 (25.685)	Prec@5 52.734 (53.425)
Epoch: [40][4920/7045]	Time 0.454 (0.252)	Data 0.403 (0.190)	Loss 3.1942 (3.2854)	Prec@1 25.781 (25.685)	Prec@5 56.250 (53.425)
Epoch: [40][4930/7045]	Time 0.463 (0.252)	Data 0.411 (0.190)	Loss 3.4441 (3.2854)	Prec@1 22.266 (25.685)	Prec@5 53.125 (53.423)
Epoch: [40][4940/7045]	Time 0.111 (0.252)	Data 0.053 (0.190)	Loss 3.3866 (3.2855)	Prec@1 21.875 (25.685)	Prec@5 49.609 (53.423)
Epoch: [40][4950/7045]	Time 0.389 (0.252)	Data 0.337 (0.190)	Loss 3.4206 (3.2855)	Prec@1 23.438 (25.685)	Prec@5 51.562 (53.425)
Epoch: [40][4960/7045]	Time 0.100 (0.252)	Data 0.007 (0.190)	Loss 3.2648 (3.2855)	Prec@1 25.781 (25.684)	Prec@5 55.859 (53.422)
Epoch: [40][4970/7045]	Time 0.522 (0.252)	Data 0.464 (0.190)	Loss 3.1827 (3.2855)	Prec@1 31.641 (25.683)	Prec@5 57.031 (53.420)
Epoch: [40][4980/7045]	Time 0.168 (0.252)	Data 0.115 (0.190)	Loss 3.2120 (3.2855)	Prec@1 27.344 (25.684)	Prec@5 54.688 (53.422)
Epoch: [40][4990/7045]	Time 0.487 (0.252)	Data 0.436 (0.190)	Loss 3.1156 (3.2855)	Prec@1 34.766 (25.685)	Prec@5 55.859 (53.423)
Epoch: [40][5000/7045]	Time 0.103 (0.252)	Data 0.013 (0.190)	Loss 3.3153 (3.2854)	Prec@1 25.391 (25.686)	Prec@5 52.734 (53.425)
Epoch: [40][5010/7045]	Time 0.579 (0.252)	Data 0.528 (0.190)	Loss 3.3930 (3.2854)	Prec@1 28.125 (25.688)	Prec@5 53.906 (53.428)
Epoch: [40][5020/7045]	Time 0.206 (0.252)	Data 0.155 (0.190)	Loss 3.2832 (3.2853)	Prec@1 24.609 (25.689)	Prec@5 53.516 (53.429)
Epoch: [40][5030/7045]	Time 0.334 (0.252)	Data 0.282 (0.190)	Loss 3.3861 (3.2853)	Prec@1 24.609 (25.689)	Prec@5 52.344 (53.431)
Epoch: [40][5040/7045]	Time 0.223 (0.252)	Data 0.172 (0.190)	Loss 3.2738 (3.2854)	Prec@1 24.609 (25.687)	Prec@5 54.297 (53.429)
Epoch: [40][5050/7045]	Time 0.241 (0.252)	Data 0.189 (0.190)	Loss 3.1579 (3.2853)	Prec@1 28.906 (25.687)	Prec@5 54.688 (53.430)
Epoch: [40][5060/7045]	Time 0.437 (0.252)	Data 0.385 (0.190)	Loss 3.4017 (3.2855)	Prec@1 24.219 (25.683)	Prec@5 52.344 (53.427)
Epoch: [40][5070/7045]	Time 0.287 (0.252)	Data 0.236 (0.190)	Loss 3.1856 (3.2855)	Prec@1 25.391 (25.683)	Prec@5 53.516 (53.427)
Epoch: [40][5080/7045]	Time 0.401 (0.252)	Data 0.339 (0.190)	Loss 3.2511 (3.2855)	Prec@1 27.734 (25.683)	Prec@5 54.297 (53.427)
Epoch: [40][5090/7045]	Time 0.430 (0.252)	Data 0.379 (0.190)	Loss 3.2107 (3.2853)	Prec@1 24.609 (25.684)	Prec@5 55.078 (53.427)
Epoch: [40][5100/7045]	Time 0.358 (0.252)	Data 0.306 (0.190)	Loss 3.0525 (3.2853)	Prec@1 30.469 (25.685)	Prec@5 55.859 (53.427)
Epoch: [40][5110/7045]	Time 0.326 (0.252)	Data 0.275 (0.190)	Loss 3.3169 (3.2853)	Prec@1 25.000 (25.684)	Prec@5 52.734 (53.426)
Epoch: [40][5120/7045]	Time 0.102 (0.252)	Data 0.007 (0.190)	Loss 3.1731 (3.2852)	Prec@1 27.344 (25.685)	Prec@5 57.031 (53.425)
Epoch: [40][5130/7045]	Time 0.528 (0.252)	Data 0.476 (0.190)	Loss 3.5851 (3.2853)	Prec@1 23.047 (25.683)	Prec@5 47.656 (53.423)
Epoch: [40][5140/7045]	Time 0.102 (0.252)	Data 0.001 (0.190)	Loss 3.2522 (3.2854)	Prec@1 22.656 (25.680)	Prec@5 56.641 (53.422)
Epoch: [40][5150/7045]	Time 0.407 (0.252)	Data 0.356 (0.190)	Loss 3.3428 (3.2854)	Prec@1 23.438 (25.678)	Prec@5 49.609 (53.422)
Epoch: [40][5160/7045]	Time 0.291 (0.252)	Data 0.239 (0.190)	Loss 3.1759 (3.2853)	Prec@1 25.781 (25.680)	Prec@5 54.688 (53.425)
Epoch: [40][5170/7045]	Time 0.336 (0.252)	Data 0.285 (0.190)	Loss 3.2595 (3.2852)	Prec@1 25.781 (25.678)	Prec@5 50.000 (53.426)
Epoch: [40][5180/7045]	Time 0.380 (0.252)	Data 0.328 (0.190)	Loss 3.4028 (3.2853)	Prec@1 22.656 (25.677)	Prec@5 49.219 (53.425)
Epoch: [40][5190/7045]	Time 0.143 (0.252)	Data 0.092 (0.190)	Loss 3.3090 (3.2851)	Prec@1 23.828 (25.680)	Prec@5 52.734 (53.428)
Epoch: [40][5200/7045]	Time 0.345 (0.252)	Data 0.293 (0.190)	Loss 3.2158 (3.2851)	Prec@1 26.953 (25.677)	Prec@5 57.422 (53.427)
Epoch: [40][5210/7045]	Time 0.164 (0.252)	Data 0.114 (0.190)	Loss 3.3416 (3.2851)	Prec@1 23.828 (25.676)	Prec@5 51.172 (53.430)
Epoch: [40][5220/7045]	Time 0.512 (0.252)	Data 0.463 (0.190)	Loss 3.2657 (3.2851)	Prec@1 24.609 (25.677)	Prec@5 53.125 (53.431)
Epoch: [40][5230/7045]	Time 0.107 (0.252)	Data 0.054 (0.190)	Loss 3.1640 (3.2850)	Prec@1 27.734 (25.678)	Prec@5 55.469 (53.434)
Epoch: [40][5240/7045]	Time 0.384 (0.252)	Data 0.334 (0.190)	Loss 3.2625 (3.2850)	Prec@1 29.297 (25.677)	Prec@5 54.297 (53.435)
Epoch: [40][5250/7045]	Time 0.109 (0.252)	Data 0.006 (0.190)	Loss 3.1258 (3.2849)	Prec@1 28.906 (25.678)	Prec@5 57.812 (53.436)
Epoch: [40][5260/7045]	Time 0.404 (0.252)	Data 0.353 (0.190)	Loss 3.3401 (3.2849)	Prec@1 27.734 (25.679)	Prec@5 50.000 (53.436)
Epoch: [40][5270/7045]	Time 0.101 (0.252)	Data 0.006 (0.190)	Loss 3.2059 (3.2849)	Prec@1 28.125 (25.677)	Prec@5 53.906 (53.436)
Epoch: [40][5280/7045]	Time 0.349 (0.252)	Data 0.290 (0.190)	Loss 3.1582 (3.2848)	Prec@1 24.609 (25.678)	Prec@5 56.250 (53.436)
Epoch: [40][5290/7045]	Time 0.260 (0.252)	Data 0.209 (0.190)	Loss 3.1048 (3.2848)	Prec@1 30.859 (25.679)	Prec@5 60.156 (53.437)
Epoch: [40][5300/7045]	Time 0.361 (0.252)	Data 0.310 (0.190)	Loss 3.3601 (3.2848)	Prec@1 24.609 (25.679)	Prec@5 54.297 (53.436)
Epoch: [40][5310/7045]	Time 0.451 (0.252)	Data 0.400 (0.190)	Loss 3.1416 (3.2848)	Prec@1 27.734 (25.681)	Prec@5 55.859 (53.436)
Epoch: [40][5320/7045]	Time 0.102 (0.252)	Data 0.018 (0.190)	Loss 3.3026 (3.2849)	Prec@1 21.875 (25.675)	Prec@5 52.344 (53.435)
Epoch: [40][5330/7045]	Time 0.268 (0.252)	Data 0.216 (0.190)	Loss 3.5673 (3.2851)	Prec@1 24.219 (25.674)	Prec@5 48.047 (53.431)
Epoch: [40][5340/7045]	Time 0.099 (0.252)	Data 0.002 (0.190)	Loss 3.2415 (3.2850)	Prec@1 24.609 (25.676)	Prec@5 53.906 (53.431)
Epoch: [40][5350/7045]	Time 0.175 (0.252)	Data 0.124 (0.190)	Loss 3.3165 (3.2850)	Prec@1 25.781 (25.677)	Prec@5 54.688 (53.429)
Epoch: [40][5360/7045]	Time 0.226 (0.252)	Data 0.176 (0.190)	Loss 3.2440 (3.2849)	Prec@1 26.172 (25.677)	Prec@5 54.297 (53.432)
Epoch: [40][5370/7045]	Time 0.420 (0.252)	Data 0.368 (0.190)	Loss 3.4057 (3.2849)	Prec@1 24.219 (25.678)	Prec@5 51.172 (53.434)
Epoch: [40][5380/7045]	Time 0.400 (0.252)	Data 0.348 (0.190)	Loss 3.2997 (3.2850)	Prec@1 26.562 (25.677)	Prec@5 57.031 (53.433)
Epoch: [40][5390/7045]	Time 0.270 (0.252)	Data 0.219 (0.190)	Loss 3.2946 (3.2850)	Prec@1 26.562 (25.679)	Prec@5 55.859 (53.435)
Epoch: [40][5400/7045]	Time 0.183 (0.252)	Data 0.132 (0.190)	Loss 3.2214 (3.2849)	Prec@1 28.906 (25.681)	Prec@5 50.781 (53.434)
Epoch: [40][5410/7045]	Time 0.105 (0.252)	Data 0.052 (0.190)	Loss 3.2128 (3.2848)	Prec@1 26.953 (25.680)	Prec@5 57.812 (53.438)
Epoch: [40][5420/7045]	Time 0.102 (0.252)	Data 0.004 (0.190)	Loss 3.2217 (3.2847)	Prec@1 27.734 (25.682)	Prec@5 53.516 (53.441)
Epoch: [40][5430/7045]	Time 0.101 (0.252)	Data 0.001 (0.190)	Loss 3.3141 (3.2847)	Prec@1 24.219 (25.682)	Prec@5 54.297 (53.441)
Epoch: [40][5440/7045]	Time 0.393 (0.252)	Data 0.334 (0.190)	Loss 3.1766 (3.2846)	Prec@1 25.781 (25.683)	Prec@5 59.766 (53.442)
Epoch: [40][5450/7045]	Time 0.175 (0.252)	Data 0.123 (0.190)	Loss 3.1634 (3.2846)	Prec@1 30.078 (25.683)	Prec@5 55.078 (53.444)
Epoch: [40][5460/7045]	Time 0.436 (0.252)	Data 0.384 (0.190)	Loss 3.2668 (3.2846)	Prec@1 25.000 (25.683)	Prec@5 51.953 (53.443)
Epoch: [40][5470/7045]	Time 0.487 (0.252)	Data 0.428 (0.190)	Loss 3.1855 (3.2846)	Prec@1 29.688 (25.685)	Prec@5 54.297 (53.442)
Epoch: [40][5480/7045]	Time 0.109 (0.252)	Data 0.059 (0.190)	Loss 3.2651 (3.2845)	Prec@1 25.000 (25.686)	Prec@5 52.344 (53.443)
Epoch: [40][5490/7045]	Time 0.647 (0.252)	Data 0.596 (0.190)	Loss 3.1401 (3.2845)	Prec@1 23.438 (25.685)	Prec@5 58.203 (53.443)
Epoch: [40][5500/7045]	Time 0.241 (0.252)	Data 0.191 (0.190)	Loss 3.1733 (3.2843)	Prec@1 28.125 (25.688)	Prec@5 57.422 (53.447)
Epoch: [40][5510/7045]	Time 0.270 (0.252)	Data 0.219 (0.190)	Loss 3.0059 (3.2842)	Prec@1 30.859 (25.690)	Prec@5 58.203 (53.447)
Epoch: [40][5520/7045]	Time 0.247 (0.252)	Data 0.197 (0.190)	Loss 3.2831 (3.2842)	Prec@1 25.000 (25.690)	Prec@5 53.516 (53.445)
Epoch: [40][5530/7045]	Time 0.175 (0.252)	Data 0.123 (0.190)	Loss 3.1605 (3.2840)	Prec@1 30.469 (25.692)	Prec@5 51.953 (53.449)
Epoch: [40][5540/7045]	Time 0.274 (0.252)	Data 0.223 (0.190)	Loss 3.4664 (3.2840)	Prec@1 21.484 (25.693)	Prec@5 49.219 (53.451)
Epoch: [40][5550/7045]	Time 0.101 (0.252)	Data 0.001 (0.190)	Loss 3.3399 (3.2839)	Prec@1 30.078 (25.693)	Prec@5 52.734 (53.453)
Epoch: [40][5560/7045]	Time 0.515 (0.252)	Data 0.463 (0.190)	Loss 3.1110 (3.2840)	Prec@1 28.125 (25.690)	Prec@5 54.688 (53.451)
Epoch: [40][5570/7045]	Time 0.488 (0.252)	Data 0.436 (0.190)	Loss 3.2599 (3.2840)	Prec@1 24.609 (25.689)	Prec@5 53.125 (53.452)
Epoch: [40][5580/7045]	Time 0.417 (0.252)	Data 0.365 (0.190)	Loss 3.1358 (3.2838)	Prec@1 26.562 (25.691)	Prec@5 55.859 (53.457)
Epoch: [40][5590/7045]	Time 0.207 (0.252)	Data 0.156 (0.190)	Loss 3.2267 (3.2837)	Prec@1 25.000 (25.693)	Prec@5 54.688 (53.460)
Epoch: [40][5600/7045]	Time 0.103 (0.252)	Data 0.006 (0.190)	Loss 2.9998 (3.2836)	Prec@1 33.203 (25.693)	Prec@5 61.328 (53.462)
Epoch: [40][5610/7045]	Time 0.433 (0.252)	Data 0.382 (0.190)	Loss 3.1197 (3.2835)	Prec@1 27.344 (25.696)	Prec@5 58.594 (53.465)
Epoch: [40][5620/7045]	Time 0.102 (0.252)	Data 0.003 (0.190)	Loss 3.3913 (3.2834)	Prec@1 24.609 (25.699)	Prec@5 46.875 (53.466)
Epoch: [40][5630/7045]	Time 0.237 (0.252)	Data 0.186 (0.190)	Loss 3.2182 (3.2834)	Prec@1 25.781 (25.697)	Prec@5 56.641 (53.468)
Epoch: [40][5640/7045]	Time 0.264 (0.252)	Data 0.213 (0.190)	Loss 3.3809 (3.2834)	Prec@1 23.828 (25.697)	Prec@5 49.609 (53.467)
Epoch: [40][5650/7045]	Time 0.367 (0.253)	Data 0.316 (0.191)	Loss 3.1463 (3.2833)	Prec@1 33.594 (25.699)	Prec@5 57.422 (53.468)
Epoch: [40][5660/7045]	Time 0.102 (0.252)	Data 0.001 (0.191)	Loss 3.2528 (3.2833)	Prec@1 26.953 (25.699)	Prec@5 51.172 (53.468)
Epoch: [40][5670/7045]	Time 0.456 (0.253)	Data 0.405 (0.191)	Loss 3.3433 (3.2831)	Prec@1 21.875 (25.698)	Prec@5 53.906 (53.471)
Epoch: [40][5680/7045]	Time 0.400 (0.253)	Data 0.342 (0.191)	Loss 3.3394 (3.2831)	Prec@1 25.391 (25.698)	Prec@5 50.000 (53.470)
Epoch: [40][5690/7045]	Time 0.407 (0.253)	Data 0.354 (0.191)	Loss 3.2544 (3.2831)	Prec@1 27.734 (25.700)	Prec@5 53.516 (53.469)
Epoch: [40][5700/7045]	Time 0.108 (0.253)	Data 0.055 (0.191)	Loss 3.2592 (3.2831)	Prec@1 23.828 (25.701)	Prec@5 55.469 (53.469)
Epoch: [40][5710/7045]	Time 0.282 (0.253)	Data 0.231 (0.191)	Loss 3.0478 (3.2829)	Prec@1 30.469 (25.703)	Prec@5 58.203 (53.472)
Epoch: [40][5720/7045]	Time 0.251 (0.253)	Data 0.200 (0.191)	Loss 3.2923 (3.2830)	Prec@1 23.438 (25.702)	Prec@5 53.125 (53.472)
Epoch: [40][5730/7045]	Time 0.256 (0.253)	Data 0.197 (0.191)	Loss 3.1169 (3.2830)	Prec@1 27.734 (25.702)	Prec@5 55.469 (53.472)
Epoch: [40][5740/7045]	Time 0.329 (0.253)	Data 0.277 (0.191)	Loss 3.1907 (3.2828)	Prec@1 29.688 (25.704)	Prec@5 58.984 (53.476)
Epoch: [40][5750/7045]	Time 0.348 (0.253)	Data 0.295 (0.191)	Loss 3.4074 (3.2829)	Prec@1 22.656 (25.702)	Prec@5 49.219 (53.474)
Epoch: [40][5760/7045]	Time 0.102 (0.253)	Data 0.001 (0.191)	Loss 3.2832 (3.2828)	Prec@1 24.219 (25.703)	Prec@5 53.125 (53.476)
Epoch: [40][5770/7045]	Time 0.102 (0.253)	Data 0.009 (0.191)	Loss 3.2101 (3.2828)	Prec@1 26.562 (25.704)	Prec@5 56.250 (53.476)
Epoch: [40][5780/7045]	Time 0.101 (0.253)	Data 0.008 (0.191)	Loss 3.3118 (3.2827)	Prec@1 27.344 (25.705)	Prec@5 51.172 (53.477)
Epoch: [40][5790/7045]	Time 0.301 (0.253)	Data 0.249 (0.191)	Loss 3.2518 (3.2826)	Prec@1 26.953 (25.705)	Prec@5 53.906 (53.480)
Epoch: [40][5800/7045]	Time 0.150 (0.253)	Data 0.099 (0.191)	Loss 3.3129 (3.2826)	Prec@1 27.344 (25.705)	Prec@5 52.734 (53.480)
Epoch: [40][5810/7045]	Time 0.362 (0.253)	Data 0.310 (0.191)	Loss 3.1671 (3.2827)	Prec@1 27.734 (25.703)	Prec@5 57.031 (53.478)
Epoch: [40][5820/7045]	Time 0.334 (0.253)	Data 0.283 (0.191)	Loss 3.0333 (3.2827)	Prec@1 30.078 (25.703)	Prec@5 59.375 (53.479)
Epoch: [40][5830/7045]	Time 0.453 (0.253)	Data 0.402 (0.191)	Loss 3.3728 (3.2827)	Prec@1 23.438 (25.700)	Prec@5 46.875 (53.478)
Epoch: [40][5840/7045]	Time 0.230 (0.253)	Data 0.179 (0.191)	Loss 3.2911 (3.2827)	Prec@1 25.000 (25.700)	Prec@5 50.781 (53.477)
Epoch: [40][5850/7045]	Time 0.359 (0.253)	Data 0.307 (0.191)	Loss 3.4368 (3.2828)	Prec@1 24.609 (25.698)	Prec@5 51.172 (53.476)
Epoch: [40][5860/7045]	Time 0.164 (0.253)	Data 0.112 (0.191)	Loss 3.2304 (3.2827)	Prec@1 23.047 (25.698)	Prec@5 52.734 (53.476)
Epoch: [40][5870/7045]	Time 0.108 (0.253)	Data 0.057 (0.191)	Loss 3.3248 (3.2828)	Prec@1 22.266 (25.695)	Prec@5 55.469 (53.478)
Epoch: [40][5880/7045]	Time 0.199 (0.253)	Data 0.147 (0.191)	Loss 3.2029 (3.2828)	Prec@1 27.344 (25.695)	Prec@5 57.812 (53.479)
Epoch: [40][5890/7045]	Time 0.199 (0.253)	Data 0.148 (0.191)	Loss 3.2423 (3.2828)	Prec@1 27.344 (25.694)	Prec@5 53.516 (53.477)
Epoch: [40][5900/7045]	Time 0.321 (0.253)	Data 0.270 (0.191)	Loss 3.2076 (3.2829)	Prec@1 26.562 (25.693)	Prec@5 52.344 (53.474)
Epoch: [40][5910/7045]	Time 0.108 (0.253)	Data 0.055 (0.191)	Loss 3.2117 (3.2828)	Prec@1 22.656 (25.694)	Prec@5 57.812 (53.477)
Epoch: [40][5920/7045]	Time 0.538 (0.253)	Data 0.486 (0.191)	Loss 3.3644 (3.2828)	Prec@1 21.875 (25.693)	Prec@5 54.688 (53.478)
Epoch: [40][5930/7045]	Time 0.102 (0.253)	Data 0.003 (0.191)	Loss 3.1347 (3.2827)	Prec@1 28.906 (25.694)	Prec@5 54.297 (53.479)
Epoch: [40][5940/7045]	Time 0.526 (0.253)	Data 0.475 (0.191)	Loss 3.0426 (3.2827)	Prec@1 30.078 (25.696)	Prec@5 59.375 (53.482)
Epoch: [40][5950/7045]	Time 0.172 (0.253)	Data 0.120 (0.191)	Loss 3.5065 (3.2827)	Prec@1 21.094 (25.694)	Prec@5 48.438 (53.481)
Epoch: [40][5960/7045]	Time 0.358 (0.253)	Data 0.307 (0.191)	Loss 3.2624 (3.2826)	Prec@1 21.875 (25.695)	Prec@5 54.688 (53.483)
Epoch: [40][5970/7045]	Time 0.167 (0.253)	Data 0.115 (0.191)	Loss 3.0763 (3.2825)	Prec@1 30.859 (25.696)	Prec@5 58.594 (53.483)
Epoch: [40][5980/7045]	Time 0.491 (0.253)	Data 0.440 (0.191)	Loss 3.3679 (3.2825)	Prec@1 24.609 (25.696)	Prec@5 54.297 (53.485)
Epoch: [40][5990/7045]	Time 0.241 (0.253)	Data 0.189 (0.191)	Loss 3.4548 (3.2824)	Prec@1 19.531 (25.697)	Prec@5 48.438 (53.486)
Epoch: [40][6000/7045]	Time 0.213 (0.253)	Data 0.161 (0.191)	Loss 3.3544 (3.2824)	Prec@1 26.172 (25.698)	Prec@5 52.734 (53.487)
Epoch: [40][6010/7045]	Time 0.488 (0.253)	Data 0.436 (0.191)	Loss 3.2251 (3.2825)	Prec@1 25.391 (25.697)	Prec@5 55.078 (53.486)
Epoch: [40][6020/7045]	Time 0.102 (0.253)	Data 0.048 (0.191)	Loss 3.3064 (3.2823)	Prec@1 25.000 (25.700)	Prec@5 51.562 (53.488)
Epoch: [40][6030/7045]	Time 0.546 (0.253)	Data 0.494 (0.191)	Loss 3.3312 (3.2823)	Prec@1 25.391 (25.702)	Prec@5 53.906 (53.489)
Epoch: [40][6040/7045]	Time 0.102 (0.253)	Data 0.046 (0.191)	Loss 3.2841 (3.2824)	Prec@1 26.562 (25.701)	Prec@5 56.641 (53.489)
Epoch: [40][6050/7045]	Time 0.484 (0.253)	Data 0.433 (0.191)	Loss 3.2345 (3.2824)	Prec@1 27.734 (25.699)	Prec@5 55.469 (53.491)
Epoch: [40][6060/7045]	Time 0.101 (0.253)	Data 0.008 (0.191)	Loss 3.2408 (3.2823)	Prec@1 30.078 (25.702)	Prec@5 54.297 (53.491)
Epoch: [40][6070/7045]	Time 0.102 (0.253)	Data 0.001 (0.191)	Loss 3.2901 (3.2823)	Prec@1 29.297 (25.704)	Prec@5 53.125 (53.493)
Epoch: [40][6080/7045]	Time 0.112 (0.253)	Data 0.060 (0.191)	Loss 3.0885 (3.2822)	Prec@1 29.297 (25.707)	Prec@5 55.859 (53.496)
Epoch: [40][6090/7045]	Time 0.109 (0.253)	Data 0.001 (0.191)	Loss 3.1637 (3.2822)	Prec@1 27.344 (25.707)	Prec@5 58.594 (53.498)
Epoch: [40][6100/7045]	Time 0.102 (0.253)	Data 0.005 (0.191)	Loss 3.2817 (3.2821)	Prec@1 24.219 (25.706)	Prec@5 53.516 (53.498)
Epoch: [40][6110/7045]	Time 0.349 (0.253)	Data 0.291 (0.191)	Loss 3.2713 (3.2821)	Prec@1 24.609 (25.706)	Prec@5 53.516 (53.499)
Epoch: [40][6120/7045]	Time 0.102 (0.253)	Data 0.001 (0.191)	Loss 3.1611 (3.2820)	Prec@1 27.734 (25.710)	Prec@5 54.688 (53.502)
Epoch: [40][6130/7045]	Time 0.108 (0.253)	Data 0.005 (0.191)	Loss 3.4167 (3.2820)	Prec@1 23.438 (25.710)	Prec@5 49.609 (53.502)
Epoch: [40][6140/7045]	Time 0.101 (0.253)	Data 0.001 (0.191)	Loss 3.2820 (3.2820)	Prec@1 21.094 (25.711)	Prec@5 53.906 (53.502)
Epoch: [40][6150/7045]	Time 0.179 (0.253)	Data 0.128 (0.191)	Loss 3.2714 (3.2819)	Prec@1 22.656 (25.713)	Prec@5 53.516 (53.504)
Epoch: [40][6160/7045]	Time 0.111 (0.253)	Data 0.060 (0.191)	Loss 3.1532 (3.2819)	Prec@1 29.297 (25.715)	Prec@5 55.469 (53.504)
Epoch: [40][6170/7045]	Time 0.101 (0.253)	Data 0.007 (0.191)	Loss 3.3555 (3.2819)	Prec@1 26.172 (25.713)	Prec@5 51.953 (53.503)
Epoch: [40][6180/7045]	Time 0.113 (0.253)	Data 0.060 (0.191)	Loss 3.2041 (3.2819)	Prec@1 28.906 (25.715)	Prec@5 54.688 (53.503)
Epoch: [40][6190/7045]	Time 0.109 (0.253)	Data 0.010 (0.191)	Loss 3.0680 (3.2817)	Prec@1 31.641 (25.716)	Prec@5 61.328 (53.505)
Epoch: [40][6200/7045]	Time 0.204 (0.253)	Data 0.152 (0.191)	Loss 3.0341 (3.2818)	Prec@1 32.422 (25.717)	Prec@5 57.031 (53.505)
Epoch: [40][6210/7045]	Time 0.109 (0.253)	Data 0.006 (0.191)	Loss 3.2859 (3.2818)	Prec@1 28.125 (25.716)	Prec@5 50.781 (53.504)
Epoch: [40][6220/7045]	Time 0.334 (0.253)	Data 0.282 (0.191)	Loss 3.0905 (3.2818)	Prec@1 30.469 (25.716)	Prec@5 58.594 (53.504)
Epoch: [40][6230/7045]	Time 0.220 (0.253)	Data 0.168 (0.191)	Loss 3.1025 (3.2817)	Prec@1 30.859 (25.718)	Prec@5 55.859 (53.505)
Epoch: [40][6240/7045]	Time 0.551 (0.253)	Data 0.500 (0.191)	Loss 3.1623 (3.2817)	Prec@1 24.609 (25.717)	Prec@5 55.469 (53.506)
Epoch: [40][6250/7045]	Time 0.111 (0.253)	Data 0.052 (0.191)	Loss 3.2952 (3.2817)	Prec@1 24.219 (25.716)	Prec@5 49.609 (53.505)
Epoch: [40][6260/7045]	Time 0.407 (0.253)	Data 0.356 (0.191)	Loss 3.2586 (3.2817)	Prec@1 26.172 (25.716)	Prec@5 54.297 (53.505)
Epoch: [40][6270/7045]	Time 0.299 (0.253)	Data 0.248 (0.191)	Loss 3.3754 (3.2818)	Prec@1 26.172 (25.717)	Prec@5 50.391 (53.507)
Epoch: [40][6280/7045]	Time 0.101 (0.253)	Data 0.001 (0.191)	Loss 3.2093 (3.2816)	Prec@1 25.781 (25.719)	Prec@5 56.250 (53.510)
Epoch: [40][6290/7045]	Time 0.415 (0.253)	Data 0.357 (0.191)	Loss 3.1810 (3.2816)	Prec@1 25.781 (25.720)	Prec@5 55.469 (53.511)
Epoch: [40][6300/7045]	Time 0.355 (0.253)	Data 0.303 (0.191)	Loss 3.2443 (3.2817)	Prec@1 25.781 (25.720)	Prec@5 57.422 (53.510)
Epoch: [40][6310/7045]	Time 0.101 (0.253)	Data 0.007 (0.191)	Loss 3.1600 (3.2817)	Prec@1 26.172 (25.720)	Prec@5 57.031 (53.512)
Epoch: [40][6320/7045]	Time 0.440 (0.253)	Data 0.389 (0.191)	Loss 3.1862 (3.2816)	Prec@1 28.906 (25.722)	Prec@5 56.250 (53.513)
Epoch: [40][6330/7045]	Time 0.192 (0.253)	Data 0.139 (0.191)	Loss 3.2570 (3.2816)	Prec@1 25.000 (25.724)	Prec@5 56.641 (53.515)
Epoch: [40][6340/7045]	Time 0.417 (0.253)	Data 0.365 (0.191)	Loss 3.3469 (3.2814)	Prec@1 25.781 (25.725)	Prec@5 51.562 (53.517)
Epoch: [40][6350/7045]	Time 0.250 (0.253)	Data 0.198 (0.191)	Loss 3.3011 (3.2814)	Prec@1 24.609 (25.725)	Prec@5 53.125 (53.517)
Epoch: [40][6360/7045]	Time 0.374 (0.253)	Data 0.321 (0.191)	Loss 3.1773 (3.2814)	Prec@1 30.469 (25.726)	Prec@5 58.594 (53.518)
Epoch: [40][6370/7045]	Time 0.102 (0.253)	Data 0.001 (0.191)	Loss 3.5201 (3.2815)	Prec@1 22.656 (25.725)	Prec@5 50.000 (53.517)
Epoch: [40][6380/7045]	Time 0.403 (0.253)	Data 0.351 (0.191)	Loss 3.2503 (3.2814)	Prec@1 29.688 (25.726)	Prec@5 55.469 (53.518)
Epoch: [40][6390/7045]	Time 0.342 (0.253)	Data 0.290 (0.191)	Loss 3.3263 (3.2814)	Prec@1 26.953 (25.727)	Prec@5 50.391 (53.519)
Epoch: [40][6400/7045]	Time 0.104 (0.253)	Data 0.051 (0.191)	Loss 3.2384 (3.2813)	Prec@1 26.953 (25.728)	Prec@5 55.859 (53.522)
Epoch: [40][6410/7045]	Time 0.105 (0.253)	Data 0.054 (0.191)	Loss 3.2619 (3.2813)	Prec@1 26.172 (25.729)	Prec@5 57.031 (53.523)
Epoch: [40][6420/7045]	Time 0.278 (0.253)	Data 0.227 (0.191)	Loss 3.3443 (3.2814)	Prec@1 26.172 (25.728)	Prec@5 50.391 (53.520)
Epoch: [40][6430/7045]	Time 0.101 (0.253)	Data 0.001 (0.191)	Loss 3.3025 (3.2815)	Prec@1 23.047 (25.726)	Prec@5 54.688 (53.519)
Epoch: [40][6440/7045]	Time 0.512 (0.253)	Data 0.459 (0.191)	Loss 3.3362 (3.2815)	Prec@1 25.000 (25.726)	Prec@5 54.688 (53.519)
Epoch: [40][6450/7045]	Time 0.101 (0.253)	Data 0.009 (0.191)	Loss 3.3046 (3.2814)	Prec@1 28.906 (25.728)	Prec@5 55.469 (53.522)
Epoch: [40][6460/7045]	Time 0.408 (0.253)	Data 0.357 (0.191)	Loss 3.1969 (3.2814)	Prec@1 26.953 (25.726)	Prec@5 54.688 (53.523)
Epoch: [40][6470/7045]	Time 0.279 (0.253)	Data 0.227 (0.191)	Loss 3.2585 (3.2814)	Prec@1 24.219 (25.728)	Prec@5 56.641 (53.524)
Epoch: [40][6480/7045]	Time 0.343 (0.253)	Data 0.292 (0.191)	Loss 3.1550 (3.2813)	Prec@1 26.953 (25.730)	Prec@5 57.422 (53.527)
Epoch: [40][6490/7045]	Time 0.392 (0.253)	Data 0.340 (0.191)	Loss 3.2794 (3.2814)	Prec@1 25.391 (25.727)	Prec@5 50.781 (53.525)
Epoch: [40][6500/7045]	Time 0.112 (0.253)	Data 0.060 (0.191)	Loss 3.3526 (3.2813)	Prec@1 23.047 (25.728)	Prec@5 53.906 (53.525)
Epoch: [40][6510/7045]	Time 0.609 (0.253)	Data 0.558 (0.191)	Loss 3.1049 (3.2812)	Prec@1 28.906 (25.730)	Prec@5 56.250 (53.525)
Epoch: [40][6520/7045]	Time 0.114 (0.253)	Data 0.056 (0.191)	Loss 3.2891 (3.2813)	Prec@1 20.703 (25.729)	Prec@5 54.688 (53.524)
Epoch: [40][6530/7045]	Time 0.678 (0.253)	Data 0.626 (0.191)	Loss 3.2574 (3.2813)	Prec@1 22.656 (25.728)	Prec@5 54.688 (53.524)
Epoch: [40][6540/7045]	Time 0.198 (0.253)	Data 0.147 (0.191)	Loss 3.2506 (3.2812)	Prec@1 26.562 (25.729)	Prec@5 54.688 (53.526)
Epoch: [40][6550/7045]	Time 0.509 (0.253)	Data 0.457 (0.191)	Loss 3.1312 (3.2811)	Prec@1 24.219 (25.729)	Prec@5 58.203 (53.526)
Epoch: [40][6560/7045]	Time 0.227 (0.253)	Data 0.176 (0.191)	Loss 3.2385 (3.2810)	Prec@1 26.562 (25.730)	Prec@5 54.297 (53.528)
Epoch: [40][6570/7045]	Time 0.422 (0.253)	Data 0.370 (0.191)	Loss 3.2477 (3.2811)	Prec@1 25.391 (25.731)	Prec@5 52.734 (53.527)
Epoch: [40][6580/7045]	Time 0.401 (0.253)	Data 0.350 (0.191)	Loss 3.2854 (3.2810)	Prec@1 28.516 (25.732)	Prec@5 53.516 (53.527)
Epoch: [40][6590/7045]	Time 0.231 (0.253)	Data 0.180 (0.191)	Loss 3.2993 (3.2810)	Prec@1 24.219 (25.733)	Prec@5 52.734 (53.529)
Epoch: [40][6600/7045]	Time 0.202 (0.253)	Data 0.149 (0.191)	Loss 3.4156 (3.2810)	Prec@1 24.609 (25.735)	Prec@5 51.953 (53.530)
Epoch: [40][6610/7045]	Time 0.423 (0.253)	Data 0.366 (0.191)	Loss 3.2926 (3.2810)	Prec@1 23.438 (25.733)	Prec@5 53.516 (53.530)
Epoch: [40][6620/7045]	Time 0.215 (0.253)	Data 0.165 (0.191)	Loss 3.1824 (3.2809)	Prec@1 30.469 (25.734)	Prec@5 55.859 (53.532)
Epoch: [40][6630/7045]	Time 0.382 (0.253)	Data 0.332 (0.191)	Loss 3.1919 (3.2809)	Prec@1 26.172 (25.736)	Prec@5 56.641 (53.533)
Epoch: [40][6640/7045]	Time 0.493 (0.253)	Data 0.443 (0.191)	Loss 3.1970 (3.2808)	Prec@1 25.000 (25.738)	Prec@5 54.688 (53.535)
Epoch: [40][6650/7045]	Time 0.138 (0.253)	Data 0.084 (0.191)	Loss 3.3542 (3.2807)	Prec@1 23.047 (25.738)	Prec@5 44.141 (53.533)
Epoch: [40][6660/7045]	Time 0.154 (0.253)	Data 0.097 (0.191)	Loss 3.2379 (3.2807)	Prec@1 25.781 (25.738)	Prec@5 58.594 (53.534)
Epoch: [40][6670/7045]	Time 0.102 (0.253)	Data 0.008 (0.191)	Loss 3.1113 (3.2806)	Prec@1 26.953 (25.739)	Prec@5 55.469 (53.536)
Epoch: [40][6680/7045]	Time 0.111 (0.253)	Data 0.059 (0.191)	Loss 3.1630 (3.2806)	Prec@1 28.125 (25.740)	Prec@5 54.688 (53.533)
Epoch: [40][6690/7045]	Time 0.102 (0.253)	Data 0.001 (0.191)	Loss 3.1648 (3.2806)	Prec@1 31.641 (25.739)	Prec@5 57.812 (53.533)
Epoch: [40][6700/7045]	Time 0.115 (0.253)	Data 0.063 (0.191)	Loss 3.2996 (3.2806)	Prec@1 20.703 (25.739)	Prec@5 48.828 (53.533)
Epoch: [40][6710/7045]	Time 0.102 (0.253)	Data 0.048 (0.191)	Loss 3.1917 (3.2806)	Prec@1 27.344 (25.739)	Prec@5 53.906 (53.533)
Epoch: [40][6720/7045]	Time 0.109 (0.253)	Data 0.058 (0.191)	Loss 3.2340 (3.2806)	Prec@1 24.219 (25.739)	Prec@5 54.297 (53.532)
Epoch: [40][6730/7045]	Time 0.101 (0.253)	Data 0.001 (0.191)	Loss 3.1636 (3.2805)	Prec@1 25.781 (25.740)	Prec@5 53.516 (53.531)
Epoch: [40][6740/7045]	Time 0.212 (0.253)	Data 0.159 (0.191)	Loss 3.2727 (3.2805)	Prec@1 26.953 (25.740)	Prec@5 55.859 (53.531)
Epoch: [40][6750/7045]	Time 0.124 (0.253)	Data 0.073 (0.191)	Loss 3.3044 (3.2805)	Prec@1 26.172 (25.740)	Prec@5 52.734 (53.531)
Epoch: [40][6760/7045]	Time 0.316 (0.253)	Data 0.264 (0.191)	Loss 3.0334 (3.2804)	Prec@1 33.984 (25.742)	Prec@5 58.203 (53.533)
Epoch: [40][6770/7045]	Time 0.101 (0.253)	Data 0.005 (0.191)	Loss 3.3707 (3.2805)	Prec@1 26.172 (25.742)	Prec@5 56.250 (53.532)
Epoch: [40][6780/7045]	Time 0.106 (0.253)	Data 0.054 (0.191)	Loss 3.5149 (3.2805)	Prec@1 24.219 (25.741)	Prec@5 51.562 (53.530)
Epoch: [40][6790/7045]	Time 0.373 (0.253)	Data 0.322 (0.191)	Loss 3.2945 (3.2806)	Prec@1 28.906 (25.741)	Prec@5 55.469 (53.531)
Epoch: [40][6800/7045]	Time 0.271 (0.253)	Data 0.219 (0.191)	Loss 3.1133 (3.2806)	Prec@1 26.172 (25.742)	Prec@5 55.469 (53.532)
Epoch: [40][6810/7045]	Time 0.211 (0.253)	Data 0.159 (0.191)	Loss 3.2709 (3.2805)	Prec@1 28.125 (25.743)	Prec@5 51.953 (53.533)
Epoch: [40][6820/7045]	Time 0.159 (0.253)	Data 0.108 (0.191)	Loss 3.2351 (3.2805)	Prec@1 27.734 (25.744)	Prec@5 57.812 (53.535)
Epoch: [40][6830/7045]	Time 0.108 (0.253)	Data 0.056 (0.191)	Loss 3.3142 (3.2806)	Prec@1 22.266 (25.742)	Prec@5 53.906 (53.535)
Epoch: [40][6840/7045]	Time 0.240 (0.253)	Data 0.188 (0.191)	Loss 3.0406 (3.2806)	Prec@1 28.516 (25.740)	Prec@5 59.766 (53.536)
Epoch: [40][6850/7045]	Time 0.322 (0.253)	Data 0.271 (0.191)	Loss 3.2015 (3.2806)	Prec@1 25.000 (25.740)	Prec@5 57.031 (53.537)
Epoch: [40][6860/7045]	Time 0.108 (0.253)	Data 0.054 (0.191)	Loss 3.1502 (3.2805)	Prec@1 26.562 (25.740)	Prec@5 57.812 (53.538)
Epoch: [40][6870/7045]	Time 0.444 (0.253)	Data 0.394 (0.191)	Loss 3.4266 (3.2806)	Prec@1 20.703 (25.739)	Prec@5 50.781 (53.537)
Epoch: [40][6880/7045]	Time 0.179 (0.253)	Data 0.128 (0.191)	Loss 3.0822 (3.2806)	Prec@1 28.906 (25.739)	Prec@5 53.906 (53.538)
Epoch: [40][6890/7045]	Time 0.466 (0.253)	Data 0.414 (0.191)	Loss 3.2028 (3.2805)	Prec@1 26.172 (25.740)	Prec@5 55.078 (53.540)
Epoch: [40][6900/7045]	Time 0.161 (0.253)	Data 0.110 (0.191)	Loss 3.3568 (3.2805)	Prec@1 23.438 (25.741)	Prec@5 52.344 (53.541)
Epoch: [40][6910/7045]	Time 0.318 (0.253)	Data 0.267 (0.191)	Loss 3.1148 (3.2805)	Prec@1 30.078 (25.742)	Prec@5 56.250 (53.543)
Epoch: [40][6920/7045]	Time 0.101 (0.253)	Data 0.001 (0.191)	Loss 3.4188 (3.2805)	Prec@1 25.391 (25.742)	Prec@5 47.266 (53.541)
Epoch: [40][6930/7045]	Time 0.540 (0.253)	Data 0.489 (0.191)	Loss 3.5070 (3.2805)	Prec@1 23.047 (25.743)	Prec@5 46.484 (53.540)
Epoch: [40][6940/7045]	Time 0.110 (0.253)	Data 0.001 (0.191)	Loss 3.1670 (3.2805)	Prec@1 26.953 (25.743)	Prec@5 59.766 (53.540)
Epoch: [40][6950/7045]	Time 0.565 (0.253)	Data 0.513 (0.191)	Loss 3.3786 (3.2804)	Prec@1 25.000 (25.745)	Prec@5 50.000 (53.542)
Epoch: [40][6960/7045]	Time 0.099 (0.253)	Data 0.001 (0.191)	Loss 3.1429 (3.2804)	Prec@1 23.828 (25.744)	Prec@5 57.031 (53.541)
Epoch: [40][6970/7045]	Time 0.782 (0.253)	Data 0.730 (0.191)	Loss 3.4925 (3.2804)	Prec@1 21.875 (25.743)	Prec@5 48.047 (53.539)
Epoch: [40][6980/7045]	Time 0.100 (0.253)	Data 0.005 (0.191)	Loss 3.2935 (3.2804)	Prec@1 29.688 (25.744)	Prec@5 49.219 (53.537)
Epoch: [40][6990/7045]	Time 0.667 (0.253)	Data 0.607 (0.191)	Loss 3.4079 (3.2804)	Prec@1 26.172 (25.744)	Prec@5 51.953 (53.537)
Epoch: [40][7000/7045]	Time 0.099 (0.253)	Data 0.001 (0.191)	Loss 3.2985 (3.2804)	Prec@1 23.828 (25.744)	Prec@5 48.828 (53.536)
Epoch: [40][7010/7045]	Time 0.672 (0.253)	Data 0.612 (0.191)	Loss 3.2622 (3.2804)	Prec@1 28.125 (25.745)	Prec@5 54.297 (53.536)
Epoch: [40][7020/7045]	Time 0.102 (0.253)	Data 0.001 (0.191)	Loss 3.1275 (3.2803)	Prec@1 26.953 (25.746)	Prec@5 53.906 (53.537)
Epoch: [40][7030/7045]	Time 0.793 (0.253)	Data 0.740 (0.191)	Loss 3.1688 (3.2803)	Prec@1 28.516 (25.748)	Prec@5 55.859 (53.540)
Epoch: [40][7040/7045]	Time 0.166 (0.253)	Data 0.115 (0.191)	Loss 3.2000 (3.2801)	Prec@1 28.516 (25.750)	Prec@5 53.906 (53.541)
Test: [0/143]	Time 1.275 (1.275)	Loss 2.9761 (2.9761)	Prec@1 27.344 (27.344)	Prec@5 59.766 (59.766)
Test: [10/143]	Time 0.114 (0.241)	Loss 2.4118 (2.7987)	Prec@1 44.922 (33.416)	Prec@5 75.391 (64.666)
Test: [20/143]	Time 0.420 (0.221)	Loss 2.9034 (2.7358)	Prec@1 31.250 (33.929)	Prec@5 61.719 (66.164)
Test: [30/143]	Time 0.121 (0.204)	Loss 2.8262 (2.7185)	Prec@1 35.156 (35.144)	Prec@5 61.719 (66.217)
Test: [40/143]	Time 0.386 (0.204)	Loss 3.4151 (2.7424)	Prec@1 15.625 (34.775)	Prec@5 48.047 (65.473)
Test: [50/143]	Time 0.279 (0.199)	Loss 2.2984 (2.7775)	Prec@1 38.672 (33.609)	Prec@5 77.734 (64.767)
Test: [60/143]	Time 0.227 (0.197)	Loss 3.1804 (2.7559)	Prec@1 21.875 (33.997)	Prec@5 58.984 (65.254)
Test: [70/143]	Time 0.464 (0.195)	Loss 3.5201 (2.7433)	Prec@1 13.281 (34.116)	Prec@5 43.359 (65.289)
Test: [80/143]	Time 0.119 (0.190)	Loss 2.5817 (2.7348)	Prec@1 38.672 (34.346)	Prec@5 72.266 (65.557)
Test: [90/143]	Time 0.057 (0.190)	Loss 2.5695 (2.7242)	Prec@1 37.500 (34.461)	Prec@5 73.438 (65.792)
Test: [100/143]	Time 0.048 (0.188)	Loss 2.2260 (2.7207)	Prec@1 48.047 (34.503)	Prec@5 80.078 (65.915)
Test: [110/143]	Time 0.216 (0.190)	Loss 2.4470 (2.7065)	Prec@1 42.578 (34.942)	Prec@5 66.797 (66.178)
Test: [120/143]	Time 0.067 (0.187)	Loss 2.0228 (2.6955)	Prec@1 53.125 (35.218)	Prec@5 83.984 (66.419)
Test: [130/143]	Time 0.119 (0.188)	Loss 2.3029 (2.7020)	Prec@1 49.219 (35.162)	Prec@5 72.266 (66.132)
Test: [140/143]	Time 0.057 (0.188)	Loss 3.7184 (2.7247)	Prec@1 14.062 (34.727)	Prec@5 43.750 (65.622)
 * Prec@1 34.784 Prec@5 65.660
Epoch: [41][0/7045]	Time 2.532 (2.532)	Data 2.473 (2.473)	Loss 3.1855 (3.1855)	Prec@1 25.391 (25.391)	Prec@5 56.641 (56.641)
Epoch: [41][10/7045]	Time 0.101 (0.435)	Data 0.004 (0.360)	Loss 3.4080 (3.2836)	Prec@1 26.172 (25.852)	Prec@5 53.516 (54.688)
Epoch: [41][20/7045]	Time 0.706 (0.371)	Data 0.656 (0.294)	Loss 3.0014 (3.2602)	Prec@1 29.297 (26.097)	Prec@5 60.938 (54.315)
Epoch: [41][30/7045]	Time 0.102 (0.327)	Data 0.001 (0.251)	Loss 3.2766 (3.2670)	Prec@1 26.172 (25.970)	Prec@5 52.734 (53.957)
Epoch: [41][40/7045]	Time 0.595 (0.311)	Data 0.535 (0.236)	Loss 3.3343 (3.2732)	Prec@1 22.656 (25.476)	Prec@5 52.344 (53.544)
Epoch: [41][50/7045]	Time 0.136 (0.295)	Data 0.085 (0.224)	Loss 3.1538 (3.2641)	Prec@1 26.172 (25.651)	Prec@5 53.906 (53.745)
Epoch: [41][60/7045]	Time 0.425 (0.289)	Data 0.374 (0.221)	Loss 3.3913 (3.2640)	Prec@1 23.438 (25.589)	Prec@5 52.734 (53.906)
Epoch: [41][70/7045]	Time 0.275 (0.283)	Data 0.218 (0.217)	Loss 3.1873 (3.2608)	Prec@1 28.516 (25.880)	Prec@5 53.906 (53.945)
Epoch: [41][80/7045]	Time 0.270 (0.278)	Data 0.219 (0.213)	Loss 3.0922 (3.2573)	Prec@1 28.906 (25.781)	Prec@5 58.594 (54.036)
Epoch: [41][90/7045]	Time 0.170 (0.275)	Data 0.118 (0.212)	Loss 3.0594 (3.2469)	Prec@1 27.344 (25.914)	Prec@5 60.547 (54.207)
Epoch: [41][100/7045]	Time 0.105 (0.272)	Data 0.006 (0.210)	Loss 3.2080 (3.2459)	Prec@1 23.047 (25.917)	Prec@5 55.078 (54.285)
Epoch: [41][110/7045]	Time 0.199 (0.269)	Data 0.148 (0.208)	Loss 3.5328 (3.2444)	Prec@1 20.703 (26.028)	Prec@5 48.828 (54.248)
Epoch: [41][120/7045]	Time 0.279 (0.269)	Data 0.219 (0.208)	Loss 3.3478 (3.2451)	Prec@1 26.953 (26.104)	Prec@5 52.734 (54.281)
Epoch: [41][130/7045]	Time 0.101 (0.265)	Data 0.002 (0.205)	Loss 3.2517 (3.2531)	Prec@1 25.781 (26.056)	Prec@5 53.516 (54.112)
Epoch: [41][140/7045]	Time 0.366 (0.266)	Data 0.314 (0.205)	Loss 3.3828 (3.2523)	Prec@1 25.000 (26.086)	Prec@5 51.562 (54.089)
Epoch: [41][150/7045]	Time 0.102 (0.264)	Data 0.001 (0.203)	Loss 3.1540 (3.2511)	Prec@1 28.516 (26.087)	Prec@5 49.609 (54.069)
Epoch: [41][160/7045]	Time 0.334 (0.264)	Data 0.283 (0.202)	Loss 3.1137 (3.2491)	Prec@1 29.297 (26.068)	Prec@5 58.984 (54.120)
Epoch: [41][170/7045]	Time 0.101 (0.263)	Data 0.047 (0.201)	Loss 3.1916 (3.2478)	Prec@1 27.734 (26.065)	Prec@5 56.250 (54.114)
Epoch: [41][180/7045]	Time 0.102 (0.262)	Data 0.001 (0.200)	Loss 3.3375 (3.2455)	Prec@1 25.391 (26.181)	Prec@5 50.781 (54.148)
Epoch: [41][190/7045]	Time 0.101 (0.261)	Data 0.017 (0.199)	Loss 3.3437 (3.2453)	Prec@1 19.922 (26.184)	Prec@5 53.125 (54.160)
Epoch: [41][200/7045]	Time 0.298 (0.262)	Data 0.237 (0.200)	Loss 3.2486 (3.2451)	Prec@1 24.609 (26.154)	Prec@5 55.078 (54.153)
Epoch: [41][210/7045]	Time 0.101 (0.259)	Data 0.048 (0.198)	Loss 3.2137 (3.2475)	Prec@1 26.953 (26.166)	Prec@5 52.734 (54.090)
Epoch: [41][220/7045]	Time 0.372 (0.260)	Data 0.320 (0.199)	Loss 3.3287 (3.2499)	Prec@1 29.297 (26.181)	Prec@5 52.734 (54.039)
Epoch: [41][230/7045]	Time 0.101 (0.259)	Data 0.001 (0.196)	Loss 3.3686 (3.2503)	Prec@1 21.094 (26.221)	Prec@5 56.250 (54.101)
Epoch: [41][240/7045]	Time 0.373 (0.259)	Data 0.321 (0.197)	Loss 3.2989 (3.2495)	Prec@1 27.344 (26.237)	Prec@5 51.953 (54.110)
Epoch: [41][250/7045]	Time 0.476 (0.259)	Data 0.425 (0.197)	Loss 3.2083 (3.2484)	Prec@1 31.641 (26.270)	Prec@5 54.297 (54.123)
Epoch: [41][260/7045]	Time 0.102 (0.258)	Data 0.011 (0.195)	Loss 3.0985 (3.2471)	Prec@1 32.812 (26.329)	Prec@5 57.422 (54.165)
Epoch: [41][270/7045]	Time 0.325 (0.258)	Data 0.273 (0.195)	Loss 3.1457 (3.2462)	Prec@1 23.828 (26.326)	Prec@5 56.641 (54.199)
Epoch: [41][280/7045]	Time 0.101 (0.257)	Data 0.001 (0.194)	Loss 3.4077 (3.2465)	Prec@1 26.172 (26.312)	Prec@5 50.781 (54.197)
Epoch: [41][290/7045]	Time 0.324 (0.257)	Data 0.272 (0.194)	Loss 3.2632 (3.2486)	Prec@1 25.391 (26.286)	Prec@5 55.469 (54.145)
Epoch: [41][300/7045]	Time 0.102 (0.257)	Data 0.001 (0.193)	Loss 3.3551 (3.2476)	Prec@1 25.000 (26.325)	Prec@5 52.734 (54.174)
Epoch: [41][310/7045]	Time 0.108 (0.257)	Data 0.001 (0.194)	Loss 3.1726 (3.2478)	Prec@1 26.953 (26.319)	Prec@5 55.078 (54.134)
Epoch: [41][320/7045]	Time 0.102 (0.256)	Data 0.009 (0.191)	Loss 3.2778 (3.2481)	Prec@1 25.000 (26.292)	Prec@5 51.953 (54.114)
Epoch: [41][330/7045]	Time 0.102 (0.256)	Data 0.003 (0.192)	Loss 3.2356 (3.2491)	Prec@1 24.609 (26.256)	Prec@5 52.344 (54.075)
Epoch: [41][340/7045]	Time 0.744 (0.257)	Data 0.692 (0.193)	Loss 3.2004 (3.2471)	Prec@1 30.859 (26.298)	Prec@5 56.641 (54.107)
Epoch: [41][350/7045]	Time 0.107 (0.256)	Data 0.056 (0.191)	Loss 3.1596 (3.2472)	Prec@1 25.781 (26.314)	Prec@5 53.906 (54.098)
Epoch: [41][360/7045]	Time 0.602 (0.256)	Data 0.550 (0.191)	Loss 3.2997 (3.2464)	Prec@1 28.125 (26.306)	Prec@5 48.828 (54.117)
Epoch: [41][370/7045]	Time 0.101 (0.256)	Data 0.001 (0.190)	Loss 3.2749 (3.2474)	Prec@1 28.516 (26.314)	Prec@5 49.219 (54.092)
Epoch: [41][380/7045]	Time 0.634 (0.256)	Data 0.583 (0.190)	Loss 3.3431 (3.2471)	Prec@1 23.047 (26.320)	Prec@5 54.688 (54.120)
Epoch: [41][390/7045]	Time 0.102 (0.255)	Data 0.010 (0.189)	Loss 3.1804 (3.2462)	Prec@1 30.078 (26.343)	Prec@5 57.422 (54.164)
Epoch: [41][400/7045]	Time 0.389 (0.255)	Data 0.337 (0.189)	Loss 3.5774 (3.2464)	Prec@1 22.656 (26.326)	Prec@5 46.875 (54.155)
Epoch: [41][410/7045]	Time 0.101 (0.254)	Data 0.046 (0.189)	Loss 3.4451 (3.2478)	Prec@1 22.266 (26.321)	Prec@5 48.047 (54.099)
Epoch: [41][420/7045]	Time 0.267 (0.255)	Data 0.214 (0.189)	Loss 3.2349 (3.2461)	Prec@1 28.906 (26.344)	Prec@5 52.344 (54.103)
Epoch: [41][430/7045]	Time 0.102 (0.254)	Data 0.005 (0.188)	Loss 3.1644 (3.2440)	Prec@1 26.172 (26.362)	Prec@5 57.031 (54.153)
Epoch: [41][440/7045]	Time 0.195 (0.254)	Data 0.143 (0.189)	Loss 3.0983 (3.2438)	Prec@1 24.219 (26.367)	Prec@5 57.031 (54.163)
Epoch: [41][450/7045]	Time 0.101 (0.253)	Data 0.007 (0.188)	Loss 3.3513 (3.2441)	Prec@1 24.219 (26.354)	Prec@5 50.781 (54.183)
Epoch: [41][460/7045]	Time 0.108 (0.254)	Data 0.001 (0.188)	Loss 3.4863 (3.2443)	Prec@1 25.000 (26.360)	Prec@5 48.047 (54.185)
Epoch: [41][470/7045]	Time 0.102 (0.253)	Data 0.001 (0.187)	Loss 3.0963 (3.2439)	Prec@1 30.078 (26.400)	Prec@5 58.984 (54.227)
Epoch: [41][480/7045]	Time 0.219 (0.254)	Data 0.168 (0.188)	Loss 3.4566 (3.2441)	Prec@1 22.656 (26.410)	Prec@5 49.219 (54.224)
Epoch: [41][490/7045]	Time 0.102 (0.253)	Data 0.001 (0.187)	Loss 3.0331 (3.2430)	Prec@1 31.250 (26.450)	Prec@5 57.422 (54.229)
Epoch: [41][500/7045]	Time 0.101 (0.253)	Data 0.015 (0.187)	Loss 3.2034 (3.2422)	Prec@1 26.953 (26.463)	Prec@5 56.641 (54.260)
Epoch: [41][510/7045]	Time 0.193 (0.253)	Data 0.143 (0.187)	Loss 3.1417 (3.2411)	Prec@1 26.562 (26.473)	Prec@5 55.859 (54.269)
Epoch: [41][520/7045]	Time 0.104 (0.253)	Data 0.053 (0.187)	Loss 3.3047 (3.2412)	Prec@1 28.906 (26.481)	Prec@5 54.297 (54.269)
Epoch: [41][530/7045]	Time 0.466 (0.253)	Data 0.415 (0.187)	Loss 3.3089 (3.2415)	Prec@1 27.734 (26.469)	Prec@5 55.859 (54.262)
Epoch: [41][540/7045]	Time 0.106 (0.252)	Data 0.054 (0.187)	Loss 3.2854 (3.2413)	Prec@1 27.344 (26.465)	Prec@5 53.516 (54.303)
Epoch: [41][550/7045]	Time 0.444 (0.253)	Data 0.392 (0.187)	Loss 3.1156 (3.2398)	Prec@1 31.250 (26.518)	Prec@5 56.641 (54.339)
Epoch: [41][560/7045]	Time 0.101 (0.252)	Data 0.001 (0.187)	Loss 3.4263 (3.2402)	Prec@1 21.875 (26.507)	Prec@5 51.562 (54.317)
Epoch: [41][570/7045]	Time 0.322 (0.252)	Data 0.269 (0.187)	Loss 3.3262 (3.2423)	Prec@1 26.562 (26.469)	Prec@5 53.125 (54.304)
Epoch: [41][580/7045]	Time 0.102 (0.252)	Data 0.050 (0.186)	Loss 3.1905 (3.2420)	Prec@1 28.516 (26.494)	Prec@5 57.812 (54.326)
Epoch: [41][590/7045]	Time 0.213 (0.252)	Data 0.163 (0.187)	Loss 3.1188 (3.2425)	Prec@1 26.562 (26.488)	Prec@5 56.641 (54.327)
Epoch: [41][600/7045]	Time 0.102 (0.252)	Data 0.017 (0.187)	Loss 3.0606 (3.2414)	Prec@1 27.344 (26.508)	Prec@5 58.203 (54.359)
Epoch: [41][610/7045]	Time 0.104 (0.252)	Data 0.052 (0.187)	Loss 3.0698 (3.2409)	Prec@1 25.781 (26.503)	Prec@5 56.250 (54.368)
Epoch: [41][620/7045]	Time 0.102 (0.252)	Data 0.008 (0.187)	Loss 3.2250 (3.2410)	Prec@1 27.734 (26.515)	Prec@5 52.344 (54.360)
Epoch: [41][630/7045]	Time 0.164 (0.252)	Data 0.114 (0.186)	Loss 3.2917 (3.2403)	Prec@1 25.000 (26.526)	Prec@5 55.078 (54.374)
Epoch: [41][640/7045]	Time 0.100 (0.251)	Data 0.047 (0.186)	Loss 3.1553 (3.2413)	Prec@1 25.781 (26.514)	Prec@5 58.984 (54.372)
Epoch: [41][650/7045]	Time 0.102 (0.251)	Data 0.009 (0.186)	Loss 3.4618 (3.2419)	Prec@1 22.266 (26.509)	Prec@5 49.219 (54.364)
Epoch: [41][660/7045]	Time 0.102 (0.252)	Data 0.001 (0.186)	Loss 3.3794 (3.2419)	Prec@1 25.000 (26.500)	Prec@5 53.516 (54.364)
Epoch: [41][670/7045]	Time 0.101 (0.251)	Data 0.045 (0.186)	Loss 3.0836 (3.2421)	Prec@1 28.516 (26.493)	Prec@5 55.469 (54.350)
Epoch: [41][680/7045]	Time 0.099 (0.251)	Data 0.002 (0.186)	Loss 3.0971 (3.2422)	Prec@1 28.125 (26.491)	Prec@5 60.156 (54.351)
Epoch: [41][690/7045]	Time 0.105 (0.251)	Data 0.053 (0.185)	Loss 3.5194 (3.2417)	Prec@1 19.531 (26.497)	Prec@5 45.703 (54.360)
Epoch: [41][700/7045]	Time 0.109 (0.251)	Data 0.007 (0.185)	Loss 3.2365 (3.2417)	Prec@1 25.000 (26.485)	Prec@5 53.125 (54.354)
Epoch: [41][710/7045]	Time 0.222 (0.250)	Data 0.170 (0.185)	Loss 3.1611 (3.2411)	Prec@1 28.516 (26.491)	Prec@5 56.250 (54.371)
Epoch: [41][720/7045]	Time 0.104 (0.251)	Data 0.001 (0.186)	Loss 3.2247 (3.2410)	Prec@1 28.516 (26.476)	Prec@5 53.516 (54.373)
Epoch: [41][730/7045]	Time 0.137 (0.250)	Data 0.086 (0.185)	Loss 3.5378 (3.2412)	Prec@1 19.922 (26.480)	Prec@5 51.172 (54.369)
Epoch: [41][740/7045]	Time 0.107 (0.250)	Data 0.055 (0.185)	Loss 3.0575 (3.2409)	Prec@1 30.078 (26.486)	Prec@5 58.984 (54.366)
Epoch: [41][750/7045]	Time 0.101 (0.250)	Data 0.003 (0.185)	Loss 3.1891 (3.2405)	Prec@1 26.562 (26.492)	Prec@5 51.953 (54.363)
Epoch: [41][760/7045]	Time 0.108 (0.251)	Data 0.001 (0.185)	Loss 3.2441 (3.2408)	Prec@1 25.000 (26.479)	Prec@5 51.172 (54.351)
Epoch: [41][770/7045]	Time 0.101 (0.250)	Data 0.001 (0.185)	Loss 3.1655 (3.2409)	Prec@1 30.078 (26.475)	Prec@5 58.594 (54.365)
Epoch: [41][780/7045]	Time 0.103 (0.250)	Data 0.050 (0.185)	Loss 3.3069 (3.2409)	Prec@1 23.828 (26.465)	Prec@5 50.781 (54.358)
Epoch: [41][790/7045]	Time 0.109 (0.250)	Data 0.056 (0.184)	Loss 3.0061 (3.2412)	Prec@1 31.641 (26.460)	Prec@5 57.812 (54.352)
Epoch: [41][800/7045]	Time 0.111 (0.250)	Data 0.051 (0.184)	Loss 3.2136 (3.2410)	Prec@1 28.516 (26.455)	Prec@5 55.078 (54.352)
Epoch: [41][810/7045]	Time 0.377 (0.250)	Data 0.327 (0.185)	Loss 3.4749 (3.2420)	Prec@1 25.781 (26.458)	Prec@5 51.953 (54.340)
Epoch: [41][820/7045]	Time 0.102 (0.250)	Data 0.020 (0.185)	Loss 3.0339 (3.2426)	Prec@1 29.297 (26.454)	Prec@5 57.031 (54.318)
Epoch: [41][830/7045]	Time 0.717 (0.250)	Data 0.665 (0.185)	Loss 3.3173 (3.2422)	Prec@1 28.125 (26.450)	Prec@5 53.516 (54.328)
Epoch: [41][840/7045]	Time 0.101 (0.250)	Data 0.001 (0.184)	Loss 2.9054 (3.2422)	Prec@1 30.859 (26.451)	Prec@5 61.719 (54.329)
Epoch: [41][850/7045]	Time 0.560 (0.250)	Data 0.509 (0.184)	Loss 2.9667 (3.2423)	Prec@1 28.125 (26.448)	Prec@5 63.672 (54.330)
Epoch: [41][860/7045]	Time 0.148 (0.250)	Data 0.096 (0.184)	Loss 3.1612 (3.2418)	Prec@1 27.734 (26.448)	Prec@5 54.688 (54.340)
Epoch: [41][870/7045]	Time 0.747 (0.250)	Data 0.695 (0.184)	Loss 3.3223 (3.2412)	Prec@1 28.125 (26.458)	Prec@5 55.859 (54.364)
Epoch: [41][880/7045]	Time 0.103 (0.250)	Data 0.001 (0.183)	Loss 3.0999 (3.2405)	Prec@1 28.125 (26.465)	Prec@5 55.469 (54.380)
Epoch: [41][890/7045]	Time 0.421 (0.250)	Data 0.369 (0.183)	Loss 3.2329 (3.2408)	Prec@1 23.828 (26.457)	Prec@5 55.859 (54.371)
Epoch: [41][900/7045]	Time 0.101 (0.250)	Data 0.049 (0.183)	Loss 3.1761 (3.2402)	Prec@1 28.125 (26.456)	Prec@5 51.953 (54.373)
Epoch: [41][910/7045]	Time 0.408 (0.250)	Data 0.357 (0.183)	Loss 3.2956 (3.2409)	Prec@1 26.562 (26.441)	Prec@5 51.953 (54.362)
Epoch: [41][920/7045]	Time 0.139 (0.250)	Data 0.087 (0.183)	Loss 3.1433 (3.2411)	Prec@1 31.641 (26.437)	Prec@5 60.547 (54.366)
Epoch: [41][930/7045]	Time 0.453 (0.250)	Data 0.396 (0.183)	Loss 3.2936 (3.2410)	Prec@1 23.828 (26.438)	Prec@5 56.641 (54.379)
Epoch: [41][940/7045]	Time 0.103 (0.249)	Data 0.051 (0.183)	Loss 3.2159 (3.2405)	Prec@1 24.609 (26.436)	Prec@5 56.250 (54.398)
Epoch: [41][950/7045]	Time 0.614 (0.250)	Data 0.562 (0.183)	Loss 3.2379 (3.2400)	Prec@1 27.734 (26.447)	Prec@5 58.203 (54.414)
Epoch: [41][960/7045]	Time 0.102 (0.249)	Data 0.050 (0.183)	Loss 3.2268 (3.2399)	Prec@1 25.000 (26.458)	Prec@5 52.344 (54.423)
Epoch: [41][970/7045]	Time 0.359 (0.250)	Data 0.301 (0.183)	Loss 3.2611 (3.2399)	Prec@1 28.125 (26.458)	Prec@5 56.250 (54.423)
Epoch: [41][980/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 3.1185 (3.2397)	Prec@1 27.734 (26.460)	Prec@5 53.516 (54.418)
Epoch: [41][990/7045]	Time 0.496 (0.250)	Data 0.443 (0.183)	Loss 3.1528 (3.2403)	Prec@1 24.609 (26.445)	Prec@5 52.734 (54.406)
Epoch: [41][1000/7045]	Time 0.100 (0.249)	Data 0.001 (0.183)	Loss 3.2358 (3.2402)	Prec@1 23.828 (26.436)	Prec@5 55.469 (54.412)
Epoch: [41][1010/7045]	Time 0.425 (0.249)	Data 0.367 (0.183)	Loss 3.2268 (3.2406)	Prec@1 30.469 (26.424)	Prec@5 55.859 (54.405)
Epoch: [41][1020/7045]	Time 0.103 (0.249)	Data 0.006 (0.183)	Loss 3.3862 (3.2413)	Prec@1 27.734 (26.414)	Prec@5 48.047 (54.372)
Epoch: [41][1030/7045]	Time 0.405 (0.249)	Data 0.354 (0.183)	Loss 3.3144 (3.2417)	Prec@1 28.125 (26.406)	Prec@5 54.297 (54.361)
Epoch: [41][1040/7045]	Time 0.102 (0.249)	Data 0.006 (0.183)	Loss 3.1548 (3.2415)	Prec@1 24.219 (26.405)	Prec@5 53.125 (54.352)
Epoch: [41][1050/7045]	Time 0.287 (0.249)	Data 0.234 (0.183)	Loss 3.1668 (3.2417)	Prec@1 26.953 (26.409)	Prec@5 56.250 (54.356)
Epoch: [41][1060/7045]	Time 0.101 (0.249)	Data 0.004 (0.183)	Loss 3.0837 (3.2419)	Prec@1 29.688 (26.416)	Prec@5 57.422 (54.345)
Epoch: [41][1070/7045]	Time 0.327 (0.249)	Data 0.274 (0.183)	Loss 3.2897 (3.2415)	Prec@1 26.172 (26.427)	Prec@5 51.562 (54.353)
Epoch: [41][1080/7045]	Time 0.102 (0.249)	Data 0.004 (0.183)	Loss 3.2202 (3.2410)	Prec@1 28.906 (26.443)	Prec@5 53.516 (54.367)
Epoch: [41][1090/7045]	Time 0.407 (0.249)	Data 0.355 (0.183)	Loss 3.1296 (3.2409)	Prec@1 22.656 (26.449)	Prec@5 56.641 (54.369)
Epoch: [41][1100/7045]	Time 0.103 (0.249)	Data 0.052 (0.183)	Loss 3.2422 (3.2414)	Prec@1 23.828 (26.440)	Prec@5 52.344 (54.345)
Epoch: [41][1110/7045]	Time 0.650 (0.249)	Data 0.592 (0.183)	Loss 3.1008 (3.2408)	Prec@1 25.000 (26.443)	Prec@5 55.078 (54.358)
Epoch: [41][1120/7045]	Time 0.160 (0.249)	Data 0.110 (0.183)	Loss 3.0670 (3.2402)	Prec@1 29.688 (26.453)	Prec@5 55.859 (54.369)
Epoch: [41][1130/7045]	Time 0.367 (0.249)	Data 0.315 (0.183)	Loss 3.3378 (3.2402)	Prec@1 25.391 (26.458)	Prec@5 52.344 (54.377)
Epoch: [41][1140/7045]	Time 0.112 (0.249)	Data 0.014 (0.183)	Loss 2.8599 (3.2400)	Prec@1 30.469 (26.456)	Prec@5 64.062 (54.385)
Epoch: [41][1150/7045]	Time 0.487 (0.249)	Data 0.436 (0.183)	Loss 3.2925 (3.2395)	Prec@1 24.609 (26.455)	Prec@5 54.297 (54.389)
Epoch: [41][1160/7045]	Time 0.110 (0.249)	Data 0.057 (0.183)	Loss 3.3918 (3.2396)	Prec@1 22.656 (26.447)	Prec@5 51.562 (54.380)
Epoch: [41][1170/7045]	Time 0.438 (0.249)	Data 0.387 (0.183)	Loss 3.3133 (3.2398)	Prec@1 26.172 (26.447)	Prec@5 53.906 (54.379)
Epoch: [41][1180/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 3.1962 (3.2400)	Prec@1 32.031 (26.448)	Prec@5 51.953 (54.372)
Epoch: [41][1190/7045]	Time 0.436 (0.249)	Data 0.385 (0.183)	Loss 3.1771 (3.2398)	Prec@1 25.391 (26.450)	Prec@5 54.297 (54.372)
Epoch: [41][1200/7045]	Time 0.121 (0.249)	Data 0.070 (0.183)	Loss 3.2704 (3.2403)	Prec@1 30.859 (26.442)	Prec@5 51.562 (54.367)
Epoch: [41][1210/7045]	Time 0.304 (0.249)	Data 0.253 (0.182)	Loss 3.2850 (3.2404)	Prec@1 24.609 (26.439)	Prec@5 53.516 (54.358)
Epoch: [41][1220/7045]	Time 0.115 (0.249)	Data 0.063 (0.182)	Loss 3.1908 (3.2406)	Prec@1 26.172 (26.432)	Prec@5 54.688 (54.358)
Epoch: [41][1230/7045]	Time 0.469 (0.249)	Data 0.417 (0.182)	Loss 3.1147 (3.2402)	Prec@1 26.953 (26.430)	Prec@5 56.641 (54.365)
Epoch: [41][1240/7045]	Time 0.102 (0.249)	Data 0.004 (0.182)	Loss 3.1608 (3.2404)	Prec@1 25.781 (26.426)	Prec@5 57.812 (54.369)
Epoch: [41][1250/7045]	Time 0.494 (0.249)	Data 0.442 (0.182)	Loss 3.5448 (3.2404)	Prec@1 24.609 (26.437)	Prec@5 50.000 (54.371)
Epoch: [41][1260/7045]	Time 0.102 (0.248)	Data 0.008 (0.182)	Loss 3.4265 (3.2405)	Prec@1 25.000 (26.435)	Prec@5 48.047 (54.362)
Epoch: [41][1270/7045]	Time 0.776 (0.249)	Data 0.725 (0.182)	Loss 3.1745 (3.2404)	Prec@1 27.344 (26.437)	Prec@5 53.906 (54.364)
Epoch: [41][1280/7045]	Time 0.099 (0.248)	Data 0.001 (0.182)	Loss 3.3169 (3.2406)	Prec@1 25.391 (26.443)	Prec@5 50.781 (54.359)
Epoch: [41][1290/7045]	Time 0.541 (0.249)	Data 0.484 (0.182)	Loss 3.0706 (3.2404)	Prec@1 32.422 (26.444)	Prec@5 60.938 (54.370)
Epoch: [41][1300/7045]	Time 0.099 (0.248)	Data 0.002 (0.182)	Loss 3.1490 (3.2402)	Prec@1 27.344 (26.436)	Prec@5 58.203 (54.376)
Epoch: [41][1310/7045]	Time 0.623 (0.249)	Data 0.572 (0.182)	Loss 3.2834 (3.2403)	Prec@1 27.344 (26.433)	Prec@5 51.953 (54.374)
Epoch: [41][1320/7045]	Time 0.101 (0.248)	Data 0.001 (0.181)	Loss 3.8275 (3.2412)	Prec@1 18.359 (26.418)	Prec@5 43.750 (54.358)
Epoch: [41][1330/7045]	Time 0.622 (0.249)	Data 0.570 (0.182)	Loss 3.2570 (3.2412)	Prec@1 23.438 (26.421)	Prec@5 53.125 (54.359)
Epoch: [41][1340/7045]	Time 0.109 (0.248)	Data 0.057 (0.181)	Loss 3.2798 (3.2413)	Prec@1 28.125 (26.420)	Prec@5 54.688 (54.358)
Epoch: [41][1350/7045]	Time 0.248 (0.248)	Data 0.197 (0.182)	Loss 3.4506 (3.2412)	Prec@1 23.828 (26.419)	Prec@5 50.391 (54.354)
Epoch: [41][1360/7045]	Time 0.101 (0.248)	Data 0.018 (0.181)	Loss 3.2858 (3.2410)	Prec@1 25.391 (26.418)	Prec@5 53.516 (54.353)
Epoch: [41][1370/7045]	Time 0.101 (0.248)	Data 0.018 (0.182)	Loss 3.2167 (3.2413)	Prec@1 25.391 (26.408)	Prec@5 54.297 (54.341)
Epoch: [41][1380/7045]	Time 0.102 (0.248)	Data 0.001 (0.181)	Loss 3.2923 (3.2411)	Prec@1 24.219 (26.406)	Prec@5 53.125 (54.344)
Epoch: [41][1390/7045]	Time 0.293 (0.248)	Data 0.232 (0.182)	Loss 3.1969 (3.2413)	Prec@1 26.953 (26.403)	Prec@5 56.250 (54.342)
Epoch: [41][1400/7045]	Time 0.182 (0.248)	Data 0.131 (0.182)	Loss 3.2447 (3.2409)	Prec@1 23.438 (26.405)	Prec@5 50.781 (54.353)
Epoch: [41][1410/7045]	Time 0.331 (0.248)	Data 0.279 (0.182)	Loss 3.1974 (3.2408)	Prec@1 28.906 (26.410)	Prec@5 57.422 (54.354)
Epoch: [41][1420/7045]	Time 0.170 (0.248)	Data 0.112 (0.182)	Loss 3.1137 (3.2407)	Prec@1 26.562 (26.405)	Prec@5 57.422 (54.354)
Epoch: [41][1430/7045]	Time 0.325 (0.248)	Data 0.272 (0.182)	Loss 3.3369 (3.2411)	Prec@1 25.000 (26.398)	Prec@5 55.469 (54.348)
Epoch: [41][1440/7045]	Time 0.111 (0.248)	Data 0.017 (0.182)	Loss 3.2083 (3.2416)	Prec@1 21.875 (26.388)	Prec@5 53.906 (54.341)
Epoch: [41][1450/7045]	Time 0.148 (0.248)	Data 0.098 (0.182)	Loss 3.3925 (3.2415)	Prec@1 26.172 (26.386)	Prec@5 51.562 (54.344)
Epoch: [41][1460/7045]	Time 0.167 (0.248)	Data 0.117 (0.182)	Loss 3.1100 (3.2410)	Prec@1 32.812 (26.398)	Prec@5 60.938 (54.358)
Epoch: [41][1470/7045]	Time 0.144 (0.248)	Data 0.092 (0.182)	Loss 3.4801 (3.2411)	Prec@1 21.875 (26.388)	Prec@5 50.781 (54.354)
Epoch: [41][1480/7045]	Time 0.308 (0.248)	Data 0.256 (0.182)	Loss 3.3179 (3.2411)	Prec@1 25.391 (26.386)	Prec@5 52.344 (54.352)
Epoch: [41][1490/7045]	Time 0.103 (0.248)	Data 0.001 (0.182)	Loss 3.2654 (3.2412)	Prec@1 26.172 (26.394)	Prec@5 53.906 (54.348)
Epoch: [41][1500/7045]	Time 0.585 (0.249)	Data 0.534 (0.182)	Loss 3.4558 (3.2416)	Prec@1 24.609 (26.391)	Prec@5 48.438 (54.328)
Epoch: [41][1510/7045]	Time 0.102 (0.248)	Data 0.001 (0.182)	Loss 3.3078 (3.2417)	Prec@1 26.172 (26.388)	Prec@5 53.516 (54.324)
Epoch: [41][1520/7045]	Time 0.493 (0.248)	Data 0.440 (0.182)	Loss 3.1374 (3.2416)	Prec@1 27.734 (26.395)	Prec@5 55.859 (54.323)
Epoch: [41][1530/7045]	Time 0.261 (0.248)	Data 0.209 (0.182)	Loss 3.1945 (3.2417)	Prec@1 26.562 (26.390)	Prec@5 55.859 (54.319)
Epoch: [41][1540/7045]	Time 0.542 (0.248)	Data 0.491 (0.182)	Loss 3.2570 (3.2421)	Prec@1 24.609 (26.379)	Prec@5 54.688 (54.309)
Epoch: [41][1550/7045]	Time 0.239 (0.248)	Data 0.188 (0.182)	Loss 3.2341 (3.2423)	Prec@1 27.734 (26.376)	Prec@5 50.000 (54.305)
Epoch: [41][1560/7045]	Time 0.432 (0.248)	Data 0.381 (0.182)	Loss 3.3464 (3.2424)	Prec@1 25.781 (26.375)	Prec@5 53.125 (54.307)
Epoch: [41][1570/7045]	Time 0.102 (0.248)	Data 0.042 (0.182)	Loss 3.0667 (3.2426)	Prec@1 26.172 (26.369)	Prec@5 58.984 (54.304)
Epoch: [41][1580/7045]	Time 0.380 (0.248)	Data 0.328 (0.182)	Loss 3.2429 (3.2425)	Prec@1 25.000 (26.369)	Prec@5 50.391 (54.304)
Epoch: [41][1590/7045]	Time 0.108 (0.248)	Data 0.056 (0.182)	Loss 3.3270 (3.2424)	Prec@1 26.562 (26.370)	Prec@5 53.516 (54.316)
Epoch: [41][1600/7045]	Time 0.424 (0.248)	Data 0.373 (0.182)	Loss 2.9845 (3.2424)	Prec@1 30.469 (26.371)	Prec@5 61.719 (54.320)
Epoch: [41][1610/7045]	Time 0.192 (0.248)	Data 0.140 (0.182)	Loss 3.0892 (3.2429)	Prec@1 28.516 (26.359)	Prec@5 60.156 (54.314)
Epoch: [41][1620/7045]	Time 0.409 (0.248)	Data 0.352 (0.182)	Loss 3.3421 (3.2432)	Prec@1 21.875 (26.343)	Prec@5 50.781 (54.307)
Epoch: [41][1630/7045]	Time 0.101 (0.248)	Data 0.001 (0.182)	Loss 3.2105 (3.2432)	Prec@1 28.516 (26.343)	Prec@5 50.781 (54.305)
Epoch: [41][1640/7045]	Time 0.554 (0.248)	Data 0.502 (0.182)	Loss 3.3124 (3.2434)	Prec@1 26.172 (26.340)	Prec@5 49.609 (54.300)
Epoch: [41][1650/7045]	Time 0.102 (0.248)	Data 0.050 (0.182)	Loss 3.3975 (3.2430)	Prec@1 26.172 (26.349)	Prec@5 52.734 (54.309)
Epoch: [41][1660/7045]	Time 0.401 (0.248)	Data 0.349 (0.182)	Loss 3.2355 (3.2429)	Prec@1 28.516 (26.354)	Prec@5 56.250 (54.308)
Epoch: [41][1670/7045]	Time 0.368 (0.248)	Data 0.316 (0.182)	Loss 3.4362 (3.2430)	Prec@1 22.266 (26.347)	Prec@5 52.734 (54.301)
Epoch: [41][1680/7045]	Time 0.188 (0.248)	Data 0.138 (0.182)	Loss 3.2245 (3.2431)	Prec@1 23.828 (26.346)	Prec@5 56.641 (54.306)
Epoch: [41][1690/7045]	Time 0.250 (0.248)	Data 0.193 (0.182)	Loss 3.3022 (3.2433)	Prec@1 28.906 (26.348)	Prec@5 51.562 (54.297)
Epoch: [41][1700/7045]	Time 0.103 (0.248)	Data 0.001 (0.182)	Loss 3.1807 (3.2432)	Prec@1 27.734 (26.343)	Prec@5 59.375 (54.305)
Epoch: [41][1710/7045]	Time 0.216 (0.248)	Data 0.164 (0.182)	Loss 2.9915 (3.2432)	Prec@1 31.250 (26.334)	Prec@5 60.938 (54.307)
Epoch: [41][1720/7045]	Time 0.172 (0.248)	Data 0.120 (0.182)	Loss 3.2395 (3.2435)	Prec@1 24.609 (26.323)	Prec@5 53.906 (54.295)
Epoch: [41][1730/7045]	Time 0.102 (0.248)	Data 0.007 (0.182)	Loss 3.2051 (3.2436)	Prec@1 26.562 (26.319)	Prec@5 55.859 (54.294)
Epoch: [41][1740/7045]	Time 0.249 (0.248)	Data 0.198 (0.183)	Loss 3.3816 (3.2434)	Prec@1 22.656 (26.320)	Prec@5 54.297 (54.305)
Epoch: [41][1750/7045]	Time 0.101 (0.248)	Data 0.009 (0.183)	Loss 3.4673 (3.2436)	Prec@1 21.875 (26.314)	Prec@5 45.703 (54.292)
Epoch: [41][1760/7045]	Time 0.172 (0.248)	Data 0.121 (0.183)	Loss 3.3956 (3.2436)	Prec@1 23.828 (26.313)	Prec@5 50.000 (54.290)
Epoch: [41][1770/7045]	Time 0.248 (0.248)	Data 0.198 (0.183)	Loss 3.2663 (3.2437)	Prec@1 26.562 (26.313)	Prec@5 54.688 (54.289)
Epoch: [41][1780/7045]	Time 0.102 (0.248)	Data 0.048 (0.183)	Loss 3.2467 (3.2437)	Prec@1 25.000 (26.317)	Prec@5 55.859 (54.294)
Epoch: [41][1790/7045]	Time 0.180 (0.248)	Data 0.129 (0.183)	Loss 3.3034 (3.2438)	Prec@1 28.906 (26.315)	Prec@5 55.859 (54.294)
Epoch: [41][1800/7045]	Time 0.101 (0.248)	Data 0.049 (0.183)	Loss 3.0826 (3.2437)	Prec@1 33.594 (26.309)	Prec@5 59.766 (54.296)
Epoch: [41][1810/7045]	Time 0.374 (0.248)	Data 0.322 (0.183)	Loss 3.3047 (3.2436)	Prec@1 25.391 (26.307)	Prec@5 55.469 (54.298)
Epoch: [41][1820/7045]	Time 0.101 (0.248)	Data 0.006 (0.183)	Loss 3.3513 (3.2439)	Prec@1 24.219 (26.308)	Prec@5 51.953 (54.291)
Epoch: [41][1830/7045]	Time 0.504 (0.248)	Data 0.453 (0.183)	Loss 3.2597 (3.2439)	Prec@1 22.656 (26.301)	Prec@5 54.297 (54.290)
Epoch: [41][1840/7045]	Time 0.101 (0.248)	Data 0.001 (0.183)	Loss 3.2674 (3.2438)	Prec@1 27.734 (26.307)	Prec@5 55.078 (54.291)
Epoch: [41][1850/7045]	Time 0.650 (0.248)	Data 0.591 (0.183)	Loss 3.3117 (3.2442)	Prec@1 23.828 (26.298)	Prec@5 50.391 (54.285)
Epoch: [41][1860/7045]	Time 0.101 (0.248)	Data 0.008 (0.183)	Loss 3.1768 (3.2441)	Prec@1 25.391 (26.293)	Prec@5 58.594 (54.289)
Epoch: [41][1870/7045]	Time 0.627 (0.248)	Data 0.575 (0.183)	Loss 3.3035 (3.2443)	Prec@1 20.703 (26.293)	Prec@5 55.469 (54.288)
Epoch: [41][1880/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 3.4869 (3.2442)	Prec@1 22.266 (26.296)	Prec@5 47.266 (54.289)
Epoch: [41][1890/7045]	Time 0.616 (0.248)	Data 0.562 (0.183)	Loss 2.9955 (3.2439)	Prec@1 28.125 (26.292)	Prec@5 55.859 (54.291)
Epoch: [41][1900/7045]	Time 0.101 (0.248)	Data 0.001 (0.183)	Loss 3.3568 (3.2441)	Prec@1 24.219 (26.294)	Prec@5 53.125 (54.289)
Epoch: [41][1910/7045]	Time 0.537 (0.248)	Data 0.485 (0.183)	Loss 3.1968 (3.2439)	Prec@1 27.734 (26.300)	Prec@5 57.031 (54.290)
Epoch: [41][1920/7045]	Time 0.182 (0.248)	Data 0.130 (0.183)	Loss 3.1160 (3.2436)	Prec@1 28.516 (26.309)	Prec@5 55.859 (54.297)
Epoch: [41][1930/7045]	Time 0.574 (0.248)	Data 0.515 (0.183)	Loss 3.0812 (3.2433)	Prec@1 28.906 (26.319)	Prec@5 58.594 (54.307)
Epoch: [41][1940/7045]	Time 0.299 (0.248)	Data 0.248 (0.183)	Loss 3.2296 (3.2432)	Prec@1 25.391 (26.324)	Prec@5 52.344 (54.306)
Epoch: [41][1950/7045]	Time 0.102 (0.248)	Data 0.015 (0.183)	Loss 3.1690 (3.2433)	Prec@1 24.609 (26.323)	Prec@5 56.641 (54.303)
Epoch: [41][1960/7045]	Time 0.269 (0.248)	Data 0.219 (0.183)	Loss 3.0092 (3.2430)	Prec@1 35.938 (26.330)	Prec@5 62.109 (54.310)
Epoch: [41][1970/7045]	Time 0.684 (0.249)	Data 0.630 (0.183)	Loss 3.2502 (3.2427)	Prec@1 25.391 (26.340)	Prec@5 50.000 (54.314)
Epoch: [41][1980/7045]	Time 0.178 (0.248)	Data 0.127 (0.183)	Loss 3.1823 (3.2427)	Prec@1 30.469 (26.338)	Prec@5 51.172 (54.313)
Epoch: [41][1990/7045]	Time 0.358 (0.248)	Data 0.306 (0.183)	Loss 3.2099 (3.2426)	Prec@1 28.516 (26.335)	Prec@5 51.953 (54.311)
Epoch: [41][2000/7045]	Time 0.213 (0.248)	Data 0.161 (0.183)	Loss 3.3218 (3.2427)	Prec@1 27.344 (26.332)	Prec@5 51.562 (54.306)
Epoch: [41][2010/7045]	Time 0.110 (0.248)	Data 0.058 (0.183)	Loss 3.3313 (3.2427)	Prec@1 25.391 (26.335)	Prec@5 52.734 (54.299)
Epoch: [41][2020/7045]	Time 0.438 (0.249)	Data 0.387 (0.183)	Loss 3.1650 (3.2427)	Prec@1 31.250 (26.336)	Prec@5 59.375 (54.306)
Epoch: [41][2030/7045]	Time 0.165 (0.248)	Data 0.114 (0.183)	Loss 3.0310 (3.2427)	Prec@1 30.078 (26.338)	Prec@5 55.469 (54.307)
Epoch: [41][2040/7045]	Time 0.317 (0.249)	Data 0.265 (0.183)	Loss 3.3160 (3.2429)	Prec@1 27.734 (26.335)	Prec@5 48.828 (54.299)
Epoch: [41][2050/7045]	Time 0.379 (0.249)	Data 0.328 (0.183)	Loss 3.3213 (3.2427)	Prec@1 25.391 (26.334)	Prec@5 54.297 (54.299)
Epoch: [41][2060/7045]	Time 0.103 (0.248)	Data 0.052 (0.183)	Loss 3.2516 (3.2428)	Prec@1 23.828 (26.332)	Prec@5 54.297 (54.298)
Epoch: [41][2070/7045]	Time 0.301 (0.249)	Data 0.250 (0.183)	Loss 3.2404 (3.2426)	Prec@1 25.391 (26.338)	Prec@5 55.469 (54.304)
Epoch: [41][2080/7045]	Time 0.135 (0.248)	Data 0.084 (0.183)	Loss 3.2890 (3.2427)	Prec@1 24.609 (26.336)	Prec@5 53.125 (54.302)
Epoch: [41][2090/7045]	Time 0.111 (0.249)	Data 0.001 (0.184)	Loss 3.3260 (3.2426)	Prec@1 25.391 (26.338)	Prec@5 54.688 (54.305)
Epoch: [41][2100/7045]	Time 0.100 (0.248)	Data 0.006 (0.183)	Loss 3.3390 (3.2422)	Prec@1 25.391 (26.343)	Prec@5 55.859 (54.315)
Epoch: [41][2110/7045]	Time 0.102 (0.249)	Data 0.006 (0.184)	Loss 3.3937 (3.2422)	Prec@1 21.875 (26.340)	Prec@5 51.953 (54.318)
Epoch: [41][2120/7045]	Time 0.568 (0.249)	Data 0.518 (0.184)	Loss 3.4374 (3.2424)	Prec@1 22.656 (26.336)	Prec@5 51.562 (54.315)
Epoch: [41][2130/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 3.1057 (3.2423)	Prec@1 31.641 (26.334)	Prec@5 54.688 (54.319)
Epoch: [41][2140/7045]	Time 0.540 (0.249)	Data 0.489 (0.184)	Loss 3.3480 (3.2424)	Prec@1 26.953 (26.333)	Prec@5 52.734 (54.321)
Epoch: [41][2150/7045]	Time 0.212 (0.249)	Data 0.159 (0.183)	Loss 3.3363 (3.2426)	Prec@1 26.172 (26.335)	Prec@5 52.734 (54.320)
Epoch: [41][2160/7045]	Time 0.237 (0.249)	Data 0.185 (0.184)	Loss 3.2941 (3.2426)	Prec@1 24.219 (26.327)	Prec@5 55.469 (54.323)
Epoch: [41][2170/7045]	Time 0.249 (0.249)	Data 0.196 (0.184)	Loss 3.2463 (3.2424)	Prec@1 21.094 (26.323)	Prec@5 55.469 (54.327)
Epoch: [41][2180/7045]	Time 0.343 (0.249)	Data 0.292 (0.184)	Loss 3.0498 (3.2424)	Prec@1 29.688 (26.325)	Prec@5 55.859 (54.323)
Epoch: [41][2190/7045]	Time 0.395 (0.249)	Data 0.344 (0.184)	Loss 3.4506 (3.2422)	Prec@1 24.609 (26.330)	Prec@5 50.391 (54.325)
Epoch: [41][2200/7045]	Time 0.239 (0.249)	Data 0.188 (0.184)	Loss 3.3049 (3.2420)	Prec@1 21.875 (26.332)	Prec@5 51.562 (54.327)
Epoch: [41][2210/7045]	Time 0.226 (0.249)	Data 0.175 (0.184)	Loss 3.2448 (3.2418)	Prec@1 25.781 (26.332)	Prec@5 54.688 (54.331)
Epoch: [41][2220/7045]	Time 0.157 (0.249)	Data 0.104 (0.184)	Loss 3.1275 (3.2417)	Prec@1 29.297 (26.330)	Prec@5 55.078 (54.334)
Epoch: [41][2230/7045]	Time 0.111 (0.249)	Data 0.059 (0.184)	Loss 3.1190 (3.2417)	Prec@1 26.953 (26.331)	Prec@5 56.641 (54.333)
Epoch: [41][2240/7045]	Time 0.213 (0.249)	Data 0.161 (0.184)	Loss 3.1443 (3.2414)	Prec@1 24.219 (26.335)	Prec@5 57.031 (54.340)
Epoch: [41][2250/7045]	Time 0.156 (0.249)	Data 0.104 (0.184)	Loss 3.2015 (3.2412)	Prec@1 25.391 (26.335)	Prec@5 54.688 (54.348)
Epoch: [41][2260/7045]	Time 0.100 (0.249)	Data 0.001 (0.184)	Loss 3.2693 (3.2411)	Prec@1 25.391 (26.337)	Prec@5 50.781 (54.344)
Epoch: [41][2270/7045]	Time 0.413 (0.249)	Data 0.361 (0.184)	Loss 3.4059 (3.2414)	Prec@1 25.000 (26.329)	Prec@5 51.953 (54.339)
Epoch: [41][2280/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 3.3329 (3.2414)	Prec@1 20.703 (26.329)	Prec@5 56.641 (54.343)
Epoch: [41][2290/7045]	Time 0.456 (0.249)	Data 0.404 (0.184)	Loss 3.1291 (3.2415)	Prec@1 26.562 (26.328)	Prec@5 61.328 (54.345)
Epoch: [41][2300/7045]	Time 0.103 (0.249)	Data 0.051 (0.184)	Loss 3.1715 (3.2416)	Prec@1 27.344 (26.329)	Prec@5 57.031 (54.343)
Epoch: [41][2310/7045]	Time 0.168 (0.249)	Data 0.116 (0.184)	Loss 3.2667 (3.2415)	Prec@1 23.828 (26.332)	Prec@5 54.688 (54.345)
Epoch: [41][2320/7045]	Time 0.317 (0.249)	Data 0.265 (0.184)	Loss 3.3186 (3.2414)	Prec@1 24.219 (26.337)	Prec@5 50.391 (54.345)
Epoch: [41][2330/7045]	Time 0.105 (0.249)	Data 0.009 (0.184)	Loss 3.2181 (3.2415)	Prec@1 26.953 (26.334)	Prec@5 54.688 (54.338)
Epoch: [41][2340/7045]	Time 0.233 (0.249)	Data 0.174 (0.184)	Loss 3.1938 (3.2413)	Prec@1 26.172 (26.335)	Prec@5 56.250 (54.342)
Epoch: [41][2350/7045]	Time 0.295 (0.249)	Data 0.244 (0.184)	Loss 3.2809 (3.2414)	Prec@1 25.781 (26.334)	Prec@5 55.078 (54.340)
Epoch: [41][2360/7045]	Time 0.257 (0.249)	Data 0.199 (0.184)	Loss 3.2455 (3.2413)	Prec@1 28.516 (26.332)	Prec@5 55.859 (54.342)
Epoch: [41][2370/7045]	Time 0.381 (0.249)	Data 0.328 (0.184)	Loss 3.5142 (3.2418)	Prec@1 18.359 (26.321)	Prec@5 48.828 (54.338)
Epoch: [41][2380/7045]	Time 0.222 (0.249)	Data 0.171 (0.184)	Loss 3.5425 (3.2419)	Prec@1 21.875 (26.320)	Prec@5 47.656 (54.334)
Epoch: [41][2390/7045]	Time 0.487 (0.249)	Data 0.436 (0.184)	Loss 3.1486 (3.2421)	Prec@1 26.953 (26.317)	Prec@5 55.859 (54.331)
Epoch: [41][2400/7045]	Time 0.102 (0.249)	Data 0.046 (0.184)	Loss 3.4598 (3.2420)	Prec@1 21.484 (26.318)	Prec@5 49.219 (54.333)
Epoch: [41][2410/7045]	Time 0.546 (0.249)	Data 0.494 (0.184)	Loss 3.2498 (3.2418)	Prec@1 21.484 (26.319)	Prec@5 53.125 (54.338)
Epoch: [41][2420/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 3.1784 (3.2419)	Prec@1 27.734 (26.318)	Prec@5 51.953 (54.332)
Epoch: [41][2430/7045]	Time 0.585 (0.249)	Data 0.526 (0.184)	Loss 3.2296 (3.2420)	Prec@1 28.516 (26.321)	Prec@5 56.250 (54.331)
Epoch: [41][2440/7045]	Time 0.159 (0.249)	Data 0.108 (0.184)	Loss 3.2180 (3.2419)	Prec@1 26.562 (26.317)	Prec@5 56.641 (54.331)
Epoch: [41][2450/7045]	Time 0.392 (0.249)	Data 0.331 (0.184)	Loss 3.1893 (3.2419)	Prec@1 26.562 (26.319)	Prec@5 56.250 (54.331)
Epoch: [41][2460/7045]	Time 0.206 (0.249)	Data 0.154 (0.184)	Loss 3.2507 (3.2418)	Prec@1 21.875 (26.321)	Prec@5 51.562 (54.334)
Epoch: [41][2470/7045]	Time 0.272 (0.249)	Data 0.222 (0.184)	Loss 3.1513 (3.2417)	Prec@1 30.078 (26.326)	Prec@5 58.594 (54.336)
Epoch: [41][2480/7045]	Time 0.102 (0.249)	Data 0.009 (0.184)	Loss 3.1997 (3.2417)	Prec@1 28.125 (26.324)	Prec@5 54.297 (54.336)
Epoch: [41][2490/7045]	Time 0.262 (0.249)	Data 0.212 (0.184)	Loss 3.3302 (3.2416)	Prec@1 23.438 (26.320)	Prec@5 53.125 (54.338)
Epoch: [41][2500/7045]	Time 0.305 (0.249)	Data 0.253 (0.184)	Loss 3.1793 (3.2417)	Prec@1 26.562 (26.323)	Prec@5 55.078 (54.335)
Epoch: [41][2510/7045]	Time 0.110 (0.249)	Data 0.058 (0.184)	Loss 3.2771 (3.2417)	Prec@1 25.000 (26.320)	Prec@5 52.734 (54.332)
Epoch: [41][2520/7045]	Time 0.420 (0.249)	Data 0.363 (0.185)	Loss 3.2829 (3.2416)	Prec@1 23.047 (26.321)	Prec@5 53.516 (54.336)
Epoch: [41][2530/7045]	Time 0.111 (0.249)	Data 0.057 (0.184)	Loss 3.1834 (3.2416)	Prec@1 27.344 (26.322)	Prec@5 56.641 (54.337)
Epoch: [41][2540/7045]	Time 0.489 (0.249)	Data 0.438 (0.185)	Loss 3.2563 (3.2416)	Prec@1 25.000 (26.325)	Prec@5 55.469 (54.339)
Epoch: [41][2550/7045]	Time 0.171 (0.249)	Data 0.120 (0.184)	Loss 3.2525 (3.2416)	Prec@1 26.953 (26.326)	Prec@5 54.688 (54.338)
Epoch: [41][2560/7045]	Time 0.208 (0.249)	Data 0.149 (0.185)	Loss 3.2888 (3.2417)	Prec@1 30.078 (26.327)	Prec@5 52.344 (54.335)
Epoch: [41][2570/7045]	Time 0.101 (0.249)	Data 0.014 (0.184)	Loss 3.3121 (3.2417)	Prec@1 27.344 (26.333)	Prec@5 51.172 (54.334)
Epoch: [41][2580/7045]	Time 0.256 (0.249)	Data 0.205 (0.185)	Loss 3.1701 (3.2418)	Prec@1 30.469 (26.333)	Prec@5 54.688 (54.335)
Epoch: [41][2590/7045]	Time 0.250 (0.249)	Data 0.200 (0.185)	Loss 3.1954 (3.2419)	Prec@1 26.172 (26.336)	Prec@5 53.516 (54.333)
Epoch: [41][2600/7045]	Time 0.114 (0.249)	Data 0.060 (0.185)	Loss 3.1164 (3.2420)	Prec@1 28.906 (26.336)	Prec@5 55.078 (54.331)
Epoch: [41][2610/7045]	Time 0.694 (0.249)	Data 0.638 (0.185)	Loss 3.2382 (3.2419)	Prec@1 28.906 (26.339)	Prec@5 55.469 (54.337)
Epoch: [41][2620/7045]	Time 0.112 (0.249)	Data 0.050 (0.185)	Loss 3.3303 (3.2419)	Prec@1 24.609 (26.337)	Prec@5 51.172 (54.337)
Epoch: [41][2630/7045]	Time 0.446 (0.249)	Data 0.393 (0.185)	Loss 3.4225 (3.2421)	Prec@1 27.344 (26.334)	Prec@5 49.609 (54.334)
Epoch: [41][2640/7045]	Time 0.117 (0.249)	Data 0.065 (0.185)	Loss 3.4827 (3.2423)	Prec@1 22.656 (26.325)	Prec@5 49.609 (54.324)
Epoch: [41][2650/7045]	Time 0.331 (0.249)	Data 0.279 (0.185)	Loss 3.4086 (3.2424)	Prec@1 23.828 (26.326)	Prec@5 50.000 (54.323)
Epoch: [41][2660/7045]	Time 0.129 (0.249)	Data 0.078 (0.185)	Loss 3.3399 (3.2425)	Prec@1 24.609 (26.325)	Prec@5 51.562 (54.319)
Epoch: [41][2670/7045]	Time 0.206 (0.249)	Data 0.155 (0.185)	Loss 3.1841 (3.2424)	Prec@1 23.828 (26.325)	Prec@5 54.688 (54.317)
Epoch: [41][2680/7045]	Time 0.197 (0.249)	Data 0.146 (0.185)	Loss 3.0816 (3.2425)	Prec@1 27.734 (26.325)	Prec@5 59.375 (54.316)
Epoch: [41][2690/7045]	Time 0.102 (0.249)	Data 0.017 (0.185)	Loss 3.3353 (3.2424)	Prec@1 21.875 (26.323)	Prec@5 54.297 (54.320)
Epoch: [41][2700/7045]	Time 0.175 (0.249)	Data 0.124 (0.185)	Loss 3.2084 (3.2424)	Prec@1 27.344 (26.318)	Prec@5 52.734 (54.317)
Epoch: [41][2710/7045]	Time 0.166 (0.249)	Data 0.114 (0.185)	Loss 3.3208 (3.2424)	Prec@1 25.391 (26.314)	Prec@5 51.562 (54.317)
Epoch: [41][2720/7045]	Time 0.108 (0.249)	Data 0.007 (0.185)	Loss 3.3951 (3.2425)	Prec@1 25.781 (26.316)	Prec@5 49.219 (54.316)
Epoch: [41][2730/7045]	Time 0.304 (0.249)	Data 0.253 (0.185)	Loss 3.2669 (3.2423)	Prec@1 26.172 (26.322)	Prec@5 55.469 (54.325)
Epoch: [41][2740/7045]	Time 0.107 (0.249)	Data 0.056 (0.185)	Loss 3.0977 (3.2422)	Prec@1 26.172 (26.323)	Prec@5 54.688 (54.326)
Epoch: [41][2750/7045]	Time 0.322 (0.249)	Data 0.272 (0.185)	Loss 3.3219 (3.2423)	Prec@1 24.219 (26.321)	Prec@5 51.953 (54.322)
Epoch: [41][2760/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 3.4354 (3.2428)	Prec@1 25.391 (26.313)	Prec@5 51.172 (54.311)
Epoch: [41][2770/7045]	Time 0.323 (0.249)	Data 0.271 (0.185)	Loss 3.1757 (3.2427)	Prec@1 26.172 (26.316)	Prec@5 54.688 (54.311)
Epoch: [41][2780/7045]	Time 0.102 (0.249)	Data 0.011 (0.185)	Loss 3.3755 (3.2428)	Prec@1 25.781 (26.318)	Prec@5 52.344 (54.314)
Epoch: [41][2790/7045]	Time 0.365 (0.249)	Data 0.313 (0.185)	Loss 3.1579 (3.2429)	Prec@1 24.219 (26.313)	Prec@5 50.781 (54.311)
Epoch: [41][2800/7045]	Time 0.110 (0.249)	Data 0.057 (0.185)	Loss 3.3143 (3.2429)	Prec@1 24.219 (26.310)	Prec@5 53.516 (54.311)
Epoch: [41][2810/7045]	Time 0.414 (0.249)	Data 0.362 (0.185)	Loss 3.2379 (3.2426)	Prec@1 27.344 (26.313)	Prec@5 56.250 (54.322)
Epoch: [41][2820/7045]	Time 0.169 (0.249)	Data 0.110 (0.185)	Loss 3.2160 (3.2429)	Prec@1 25.781 (26.306)	Prec@5 53.516 (54.316)
Epoch: [41][2830/7045]	Time 0.521 (0.249)	Data 0.471 (0.185)	Loss 3.1948 (3.2428)	Prec@1 31.250 (26.308)	Prec@5 56.641 (54.314)
Epoch: [41][2840/7045]	Time 0.506 (0.249)	Data 0.455 (0.185)	Loss 3.2487 (3.2426)	Prec@1 26.562 (26.306)	Prec@5 57.031 (54.314)
Epoch: [41][2850/7045]	Time 0.118 (0.249)	Data 0.056 (0.185)	Loss 3.0698 (3.2424)	Prec@1 25.391 (26.309)	Prec@5 57.031 (54.317)
Epoch: [41][2860/7045]	Time 0.524 (0.249)	Data 0.471 (0.185)	Loss 3.0836 (3.2424)	Prec@1 29.297 (26.310)	Prec@5 59.375 (54.320)
Epoch: [41][2870/7045]	Time 0.102 (0.249)	Data 0.049 (0.185)	Loss 3.0622 (3.2424)	Prec@1 25.000 (26.313)	Prec@5 61.719 (54.322)
Epoch: [41][2880/7045]	Time 0.281 (0.249)	Data 0.222 (0.185)	Loss 3.3551 (3.2425)	Prec@1 26.953 (26.312)	Prec@5 50.391 (54.317)
Epoch: [41][2890/7045]	Time 0.145 (0.249)	Data 0.093 (0.185)	Loss 3.3065 (3.2425)	Prec@1 26.953 (26.313)	Prec@5 58.203 (54.316)
Epoch: [41][2900/7045]	Time 0.277 (0.249)	Data 0.226 (0.185)	Loss 3.3480 (3.2427)	Prec@1 23.828 (26.312)	Prec@5 52.344 (54.310)
Epoch: [41][2910/7045]	Time 0.277 (0.249)	Data 0.227 (0.185)	Loss 3.3320 (3.2429)	Prec@1 22.656 (26.312)	Prec@5 50.000 (54.306)
Epoch: [41][2920/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 3.1755 (3.2427)	Prec@1 25.391 (26.315)	Prec@5 57.422 (54.309)
Epoch: [41][2930/7045]	Time 0.223 (0.249)	Data 0.172 (0.185)	Loss 3.3407 (3.2429)	Prec@1 25.781 (26.315)	Prec@5 52.734 (54.306)
Epoch: [41][2940/7045]	Time 0.102 (0.249)	Data 0.017 (0.185)	Loss 3.3112 (3.2428)	Prec@1 22.266 (26.314)	Prec@5 51.562 (54.304)
Epoch: [41][2950/7045]	Time 0.118 (0.249)	Data 0.067 (0.185)	Loss 3.1883 (3.2427)	Prec@1 30.078 (26.315)	Prec@5 56.641 (54.307)
Epoch: [41][2960/7045]	Time 0.217 (0.249)	Data 0.166 (0.185)	Loss 3.0450 (3.2426)	Prec@1 30.078 (26.316)	Prec@5 57.422 (54.309)
Epoch: [41][2970/7045]	Time 0.355 (0.249)	Data 0.305 (0.185)	Loss 3.1637 (3.2425)	Prec@1 28.125 (26.317)	Prec@5 53.906 (54.311)
Epoch: [41][2980/7045]	Time 0.103 (0.249)	Data 0.050 (0.185)	Loss 3.0826 (3.2424)	Prec@1 30.859 (26.315)	Prec@5 59.375 (54.314)
Epoch: [41][2990/7045]	Time 0.293 (0.249)	Data 0.243 (0.185)	Loss 3.1031 (3.2426)	Prec@1 26.953 (26.314)	Prec@5 56.641 (54.308)
Epoch: [41][3000/7045]	Time 0.179 (0.249)	Data 0.127 (0.185)	Loss 3.2768 (3.2424)	Prec@1 28.516 (26.318)	Prec@5 54.688 (54.314)
Epoch: [41][3010/7045]	Time 0.247 (0.249)	Data 0.195 (0.185)	Loss 3.1090 (3.2424)	Prec@1 27.344 (26.318)	Prec@5 56.641 (54.316)
Epoch: [41][3020/7045]	Time 0.202 (0.249)	Data 0.145 (0.185)	Loss 3.2413 (3.2424)	Prec@1 24.219 (26.315)	Prec@5 51.172 (54.315)
Epoch: [41][3030/7045]	Time 0.217 (0.249)	Data 0.167 (0.185)	Loss 3.1766 (3.2425)	Prec@1 26.953 (26.312)	Prec@5 54.688 (54.311)
Epoch: [41][3040/7045]	Time 0.254 (0.249)	Data 0.203 (0.185)	Loss 3.2379 (3.2421)	Prec@1 28.906 (26.315)	Prec@5 53.906 (54.318)
Epoch: [41][3050/7045]	Time 0.222 (0.249)	Data 0.172 (0.185)	Loss 3.3635 (3.2419)	Prec@1 25.000 (26.322)	Prec@5 51.172 (54.325)
Epoch: [41][3060/7045]	Time 0.259 (0.248)	Data 0.208 (0.185)	Loss 3.1682 (3.2416)	Prec@1 28.516 (26.326)	Prec@5 56.250 (54.331)
Epoch: [41][3070/7045]	Time 0.280 (0.248)	Data 0.228 (0.185)	Loss 3.3031 (3.2417)	Prec@1 28.906 (26.326)	Prec@5 51.562 (54.329)
Epoch: [41][3080/7045]	Time 0.198 (0.248)	Data 0.146 (0.185)	Loss 3.3408 (3.2418)	Prec@1 25.391 (26.326)	Prec@5 52.344 (54.330)
Epoch: [41][3090/7045]	Time 0.374 (0.248)	Data 0.323 (0.185)	Loss 3.1316 (3.2416)	Prec@1 30.078 (26.327)	Prec@5 56.250 (54.331)
Epoch: [41][3100/7045]	Time 0.222 (0.248)	Data 0.171 (0.185)	Loss 3.2351 (3.2418)	Prec@1 23.828 (26.322)	Prec@5 56.641 (54.330)
Epoch: [41][3110/7045]	Time 0.409 (0.248)	Data 0.349 (0.185)	Loss 3.2187 (3.2419)	Prec@1 26.562 (26.321)	Prec@5 56.250 (54.329)
Epoch: [41][3120/7045]	Time 0.216 (0.248)	Data 0.165 (0.185)	Loss 3.1746 (3.2420)	Prec@1 25.781 (26.319)	Prec@5 55.859 (54.328)
Epoch: [41][3130/7045]	Time 0.512 (0.248)	Data 0.461 (0.185)	Loss 3.2961 (3.2420)	Prec@1 27.344 (26.318)	Prec@5 56.250 (54.328)
Epoch: [41][3140/7045]	Time 0.225 (0.248)	Data 0.174 (0.185)	Loss 3.2863 (3.2419)	Prec@1 25.781 (26.318)	Prec@5 54.688 (54.330)
Epoch: [41][3150/7045]	Time 0.577 (0.248)	Data 0.521 (0.185)	Loss 3.1582 (3.2418)	Prec@1 23.047 (26.315)	Prec@5 51.953 (54.329)
Epoch: [41][3160/7045]	Time 0.176 (0.248)	Data 0.125 (0.185)	Loss 3.3092 (3.2419)	Prec@1 25.000 (26.314)	Prec@5 53.125 (54.325)
Epoch: [41][3170/7045]	Time 0.461 (0.248)	Data 0.410 (0.185)	Loss 3.1201 (3.2419)	Prec@1 26.562 (26.316)	Prec@5 56.641 (54.326)
Epoch: [41][3180/7045]	Time 0.108 (0.248)	Data 0.056 (0.185)	Loss 3.1446 (3.2419)	Prec@1 24.609 (26.312)	Prec@5 55.469 (54.321)
Epoch: [41][3190/7045]	Time 0.377 (0.248)	Data 0.325 (0.185)	Loss 3.1714 (3.2420)	Prec@1 23.438 (26.314)	Prec@5 55.859 (54.321)
Epoch: [41][3200/7045]	Time 0.101 (0.248)	Data 0.002 (0.185)	Loss 3.2367 (3.2419)	Prec@1 24.219 (26.312)	Prec@5 56.641 (54.324)
Epoch: [41][3210/7045]	Time 0.394 (0.248)	Data 0.342 (0.185)	Loss 3.2923 (3.2418)	Prec@1 26.562 (26.313)	Prec@5 51.562 (54.328)
Epoch: [41][3220/7045]	Time 0.205 (0.248)	Data 0.153 (0.185)	Loss 3.3042 (3.2419)	Prec@1 20.703 (26.309)	Prec@5 51.562 (54.326)
Epoch: [41][3230/7045]	Time 0.103 (0.248)	Data 0.011 (0.185)	Loss 3.1099 (3.2418)	Prec@1 28.906 (26.310)	Prec@5 57.422 (54.326)
Epoch: [41][3240/7045]	Time 0.301 (0.248)	Data 0.249 (0.185)	Loss 3.0854 (3.2417)	Prec@1 30.469 (26.311)	Prec@5 56.641 (54.327)
Epoch: [41][3250/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 3.2765 (3.2417)	Prec@1 26.953 (26.311)	Prec@5 56.641 (54.326)
Epoch: [41][3260/7045]	Time 0.319 (0.248)	Data 0.268 (0.185)	Loss 3.0986 (3.2417)	Prec@1 30.469 (26.309)	Prec@5 55.469 (54.327)
Epoch: [41][3270/7045]	Time 0.111 (0.248)	Data 0.001 (0.185)	Loss 2.9583 (3.2417)	Prec@1 28.906 (26.308)	Prec@5 58.594 (54.327)
Epoch: [41][3280/7045]	Time 0.479 (0.248)	Data 0.428 (0.185)	Loss 3.2471 (3.2419)	Prec@1 26.562 (26.305)	Prec@5 54.688 (54.323)
Epoch: [41][3290/7045]	Time 0.425 (0.248)	Data 0.374 (0.185)	Loss 3.0277 (3.2418)	Prec@1 28.906 (26.308)	Prec@5 58.984 (54.327)
Epoch: [41][3300/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 3.2830 (3.2417)	Prec@1 26.172 (26.312)	Prec@5 51.562 (54.328)
Epoch: [41][3310/7045]	Time 0.106 (0.248)	Data 0.053 (0.185)	Loss 3.0804 (3.2419)	Prec@1 29.297 (26.312)	Prec@5 53.906 (54.326)
Epoch: [41][3320/7045]	Time 0.198 (0.248)	Data 0.138 (0.185)	Loss 3.0871 (3.2418)	Prec@1 31.641 (26.313)	Prec@5 56.250 (54.327)
Epoch: [41][3330/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 3.4960 (3.2418)	Prec@1 23.828 (26.313)	Prec@5 50.000 (54.329)
Epoch: [41][3340/7045]	Time 0.108 (0.248)	Data 0.056 (0.185)	Loss 3.1740 (3.2420)	Prec@1 27.344 (26.311)	Prec@5 55.078 (54.326)
Epoch: [41][3350/7045]	Time 0.250 (0.248)	Data 0.199 (0.185)	Loss 3.3167 (3.2419)	Prec@1 30.078 (26.315)	Prec@5 53.906 (54.329)
Epoch: [41][3360/7045]	Time 0.110 (0.248)	Data 0.001 (0.185)	Loss 3.4586 (3.2420)	Prec@1 25.391 (26.315)	Prec@5 50.391 (54.331)
Epoch: [41][3370/7045]	Time 0.205 (0.248)	Data 0.152 (0.185)	Loss 3.2438 (3.2419)	Prec@1 21.875 (26.313)	Prec@5 53.516 (54.331)
Epoch: [41][3380/7045]	Time 0.338 (0.248)	Data 0.287 (0.185)	Loss 3.1802 (3.2419)	Prec@1 26.953 (26.310)	Prec@5 53.516 (54.332)
Epoch: [41][3390/7045]	Time 0.432 (0.248)	Data 0.379 (0.185)	Loss 3.3311 (3.2419)	Prec@1 26.172 (26.311)	Prec@5 54.297 (54.334)
Epoch: [41][3400/7045]	Time 0.162 (0.248)	Data 0.112 (0.185)	Loss 3.1637 (3.2419)	Prec@1 27.344 (26.311)	Prec@5 53.906 (54.333)
Epoch: [41][3410/7045]	Time 0.672 (0.248)	Data 0.620 (0.185)	Loss 3.5308 (3.2417)	Prec@1 19.922 (26.311)	Prec@5 49.219 (54.336)
Epoch: [41][3420/7045]	Time 0.102 (0.248)	Data 0.050 (0.185)	Loss 3.3990 (3.2419)	Prec@1 22.266 (26.309)	Prec@5 47.656 (54.332)
Epoch: [41][3430/7045]	Time 0.544 (0.248)	Data 0.494 (0.185)	Loss 3.0424 (3.2419)	Prec@1 27.734 (26.310)	Prec@5 59.375 (54.330)
Epoch: [41][3440/7045]	Time 0.106 (0.248)	Data 0.001 (0.185)	Loss 3.2393 (3.2420)	Prec@1 25.391 (26.308)	Prec@5 53.906 (54.327)
Epoch: [41][3450/7045]	Time 0.102 (0.248)	Data 0.017 (0.185)	Loss 3.2522 (3.2419)	Prec@1 26.172 (26.310)	Prec@5 51.953 (54.330)
Epoch: [41][3460/7045]	Time 0.102 (0.248)	Data 0.050 (0.185)	Loss 3.2261 (3.2418)	Prec@1 27.734 (26.312)	Prec@5 52.734 (54.332)
Epoch: [41][3470/7045]	Time 0.102 (0.248)	Data 0.010 (0.185)	Loss 3.3572 (3.2419)	Prec@1 22.266 (26.308)	Prec@5 49.609 (54.329)
Epoch: [41][3480/7045]	Time 0.191 (0.248)	Data 0.141 (0.185)	Loss 3.1247 (3.2418)	Prec@1 24.609 (26.308)	Prec@5 54.688 (54.331)
Epoch: [41][3490/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 3.2981 (3.2416)	Prec@1 20.703 (26.311)	Prec@5 53.906 (54.332)
Epoch: [41][3500/7045]	Time 0.326 (0.248)	Data 0.266 (0.185)	Loss 3.4341 (3.2417)	Prec@1 23.828 (26.310)	Prec@5 48.828 (54.330)
Epoch: [41][3510/7045]	Time 0.250 (0.248)	Data 0.199 (0.185)	Loss 3.3377 (3.2416)	Prec@1 24.609 (26.312)	Prec@5 55.469 (54.331)
Epoch: [41][3520/7045]	Time 0.295 (0.248)	Data 0.244 (0.185)	Loss 3.1750 (3.2418)	Prec@1 28.906 (26.314)	Prec@5 55.469 (54.330)
Epoch: [41][3530/7045]	Time 0.413 (0.248)	Data 0.361 (0.185)	Loss 3.0678 (3.2418)	Prec@1 31.250 (26.316)	Prec@5 55.859 (54.330)
Epoch: [41][3540/7045]	Time 0.239 (0.248)	Data 0.187 (0.185)	Loss 3.0797 (3.2417)	Prec@1 29.297 (26.317)	Prec@5 58.594 (54.331)
Epoch: [41][3550/7045]	Time 0.602 (0.248)	Data 0.550 (0.185)	Loss 3.3253 (3.2416)	Prec@1 24.609 (26.317)	Prec@5 55.859 (54.332)
Epoch: [41][3560/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 3.1987 (3.2416)	Prec@1 26.953 (26.313)	Prec@5 53.906 (54.333)
Epoch: [41][3570/7045]	Time 0.636 (0.248)	Data 0.574 (0.185)	Loss 2.9978 (3.2416)	Prec@1 31.250 (26.313)	Prec@5 57.812 (54.332)
Epoch: [41][3580/7045]	Time 0.118 (0.248)	Data 0.067 (0.185)	Loss 3.2892 (3.2416)	Prec@1 21.875 (26.311)	Prec@5 51.953 (54.330)
Epoch: [41][3590/7045]	Time 0.513 (0.248)	Data 0.455 (0.185)	Loss 3.1396 (3.2418)	Prec@1 27.344 (26.311)	Prec@5 58.594 (54.328)
Epoch: [41][3600/7045]	Time 0.144 (0.248)	Data 0.093 (0.185)	Loss 2.9735 (3.2416)	Prec@1 31.641 (26.315)	Prec@5 62.891 (54.332)
Epoch: [41][3610/7045]	Time 0.480 (0.248)	Data 0.429 (0.185)	Loss 3.1768 (3.2417)	Prec@1 31.250 (26.316)	Prec@5 57.031 (54.329)
Epoch: [41][3620/7045]	Time 0.110 (0.248)	Data 0.057 (0.185)	Loss 3.2863 (3.2418)	Prec@1 25.000 (26.313)	Prec@5 55.078 (54.327)
Epoch: [41][3630/7045]	Time 0.423 (0.248)	Data 0.372 (0.185)	Loss 3.2563 (3.2418)	Prec@1 24.219 (26.314)	Prec@5 54.688 (54.328)
Epoch: [41][3640/7045]	Time 0.534 (0.248)	Data 0.483 (0.185)	Loss 3.0064 (3.2417)	Prec@1 28.125 (26.317)	Prec@5 60.156 (54.333)
Epoch: [41][3650/7045]	Time 0.125 (0.248)	Data 0.074 (0.185)	Loss 3.1870 (3.2415)	Prec@1 28.516 (26.320)	Prec@5 54.688 (54.337)
Epoch: [41][3660/7045]	Time 0.291 (0.248)	Data 0.239 (0.185)	Loss 3.2666 (3.2417)	Prec@1 26.172 (26.316)	Prec@5 51.953 (54.331)
Epoch: [41][3670/7045]	Time 0.102 (0.248)	Data 0.007 (0.185)	Loss 3.2412 (3.2418)	Prec@1 26.172 (26.312)	Prec@5 55.469 (54.329)
Epoch: [41][3680/7045]	Time 0.155 (0.248)	Data 0.104 (0.185)	Loss 3.4749 (3.2419)	Prec@1 23.828 (26.311)	Prec@5 47.656 (54.329)
Epoch: [41][3690/7045]	Time 0.368 (0.248)	Data 0.316 (0.185)	Loss 3.2248 (3.2417)	Prec@1 25.000 (26.317)	Prec@5 55.078 (54.334)
Epoch: [41][3700/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 3.3319 (3.2416)	Prec@1 24.219 (26.314)	Prec@5 55.078 (54.337)
Epoch: [41][3710/7045]	Time 0.633 (0.248)	Data 0.581 (0.185)	Loss 3.2736 (3.2415)	Prec@1 25.781 (26.316)	Prec@5 55.078 (54.341)
Epoch: [41][3720/7045]	Time 0.112 (0.248)	Data 0.060 (0.185)	Loss 3.1571 (3.2414)	Prec@1 26.953 (26.318)	Prec@5 53.516 (54.343)
Epoch: [41][3730/7045]	Time 0.464 (0.248)	Data 0.403 (0.185)	Loss 3.0957 (3.2413)	Prec@1 28.516 (26.320)	Prec@5 53.516 (54.343)
Epoch: [41][3740/7045]	Time 0.208 (0.248)	Data 0.157 (0.185)	Loss 3.0417 (3.2413)	Prec@1 26.953 (26.320)	Prec@5 59.375 (54.343)
Epoch: [41][3750/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 3.2784 (3.2415)	Prec@1 28.906 (26.319)	Prec@5 48.828 (54.338)
Epoch: [41][3760/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 3.3422 (3.2414)	Prec@1 26.172 (26.322)	Prec@5 53.906 (54.342)
Epoch: [41][3770/7045]	Time 0.203 (0.248)	Data 0.151 (0.185)	Loss 3.4429 (3.2414)	Prec@1 24.219 (26.324)	Prec@5 52.344 (54.341)
Epoch: [41][3780/7045]	Time 0.240 (0.248)	Data 0.189 (0.185)	Loss 3.1038 (3.2414)	Prec@1 28.125 (26.325)	Prec@5 58.203 (54.342)
Epoch: [41][3790/7045]	Time 0.219 (0.248)	Data 0.158 (0.185)	Loss 3.0895 (3.2414)	Prec@1 30.469 (26.326)	Prec@5 62.891 (54.343)
Epoch: [41][3800/7045]	Time 0.461 (0.248)	Data 0.410 (0.185)	Loss 3.1880 (3.2414)	Prec@1 26.953 (26.324)	Prec@5 55.859 (54.342)
Epoch: [41][3810/7045]	Time 0.129 (0.248)	Data 0.078 (0.185)	Loss 3.0851 (3.2413)	Prec@1 26.953 (26.326)	Prec@5 58.203 (54.344)
Epoch: [41][3820/7045]	Time 0.101 (0.248)	Data 0.009 (0.185)	Loss 3.2868 (3.2414)	Prec@1 24.609 (26.325)	Prec@5 53.125 (54.341)
Epoch: [41][3830/7045]	Time 0.227 (0.248)	Data 0.175 (0.185)	Loss 3.3240 (3.2415)	Prec@1 23.438 (26.324)	Prec@5 53.516 (54.339)
Epoch: [41][3840/7045]	Time 0.420 (0.248)	Data 0.370 (0.185)	Loss 3.3085 (3.2415)	Prec@1 30.469 (26.325)	Prec@5 51.953 (54.340)
Epoch: [41][3850/7045]	Time 0.118 (0.248)	Data 0.066 (0.185)	Loss 3.3601 (3.2415)	Prec@1 21.875 (26.324)	Prec@5 49.609 (54.338)
Epoch: [41][3860/7045]	Time 0.101 (0.248)	Data 0.009 (0.185)	Loss 3.2523 (3.2414)	Prec@1 25.781 (26.324)	Prec@5 55.859 (54.341)
Epoch: [41][3870/7045]	Time 0.478 (0.248)	Data 0.427 (0.185)	Loss 3.3867 (3.2415)	Prec@1 26.953 (26.325)	Prec@5 51.172 (54.338)
Epoch: [41][3880/7045]	Time 0.101 (0.248)	Data 0.045 (0.185)	Loss 3.3007 (3.2415)	Prec@1 28.906 (26.327)	Prec@5 52.344 (54.340)
Epoch: [41][3890/7045]	Time 0.383 (0.248)	Data 0.331 (0.185)	Loss 3.3403 (3.2414)	Prec@1 27.344 (26.328)	Prec@5 53.125 (54.342)
Epoch: [41][3900/7045]	Time 0.101 (0.248)	Data 0.009 (0.185)	Loss 3.2534 (3.2413)	Prec@1 28.906 (26.330)	Prec@5 57.422 (54.343)
Epoch: [41][3910/7045]	Time 0.170 (0.248)	Data 0.117 (0.185)	Loss 3.1806 (3.2414)	Prec@1 26.172 (26.330)	Prec@5 53.516 (54.341)
Epoch: [41][3920/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 3.2636 (3.2415)	Prec@1 25.781 (26.329)	Prec@5 52.344 (54.338)
Epoch: [41][3930/7045]	Time 0.103 (0.248)	Data 0.005 (0.185)	Loss 3.3251 (3.2416)	Prec@1 26.562 (26.327)	Prec@5 56.641 (54.334)
Epoch: [41][3940/7045]	Time 0.231 (0.248)	Data 0.180 (0.185)	Loss 3.2965 (3.2417)	Prec@1 23.828 (26.324)	Prec@5 54.297 (54.334)
Epoch: [41][3950/7045]	Time 0.101 (0.248)	Data 0.046 (0.185)	Loss 3.2705 (3.2416)	Prec@1 26.953 (26.324)	Prec@5 53.516 (54.334)
Epoch: [41][3960/7045]	Time 0.433 (0.248)	Data 0.374 (0.185)	Loss 3.3470 (3.2417)	Prec@1 30.078 (26.324)	Prec@5 51.172 (54.334)
Epoch: [41][3970/7045]	Time 0.184 (0.248)	Data 0.128 (0.185)	Loss 3.1168 (3.2417)	Prec@1 28.516 (26.322)	Prec@5 56.250 (54.333)
Epoch: [41][3980/7045]	Time 0.282 (0.248)	Data 0.231 (0.185)	Loss 3.2387 (3.2417)	Prec@1 23.828 (26.323)	Prec@5 56.250 (54.334)
Epoch: [41][3990/7045]	Time 0.489 (0.248)	Data 0.432 (0.185)	Loss 3.1291 (3.2418)	Prec@1 29.688 (26.320)	Prec@5 53.516 (54.332)
Epoch: [41][4000/7045]	Time 0.252 (0.248)	Data 0.202 (0.185)	Loss 3.3079 (3.2418)	Prec@1 25.391 (26.321)	Prec@5 51.562 (54.329)
Epoch: [41][4010/7045]	Time 0.410 (0.248)	Data 0.358 (0.185)	Loss 3.3380 (3.2417)	Prec@1 25.391 (26.323)	Prec@5 51.953 (54.329)
Epoch: [41][4020/7045]	Time 0.102 (0.248)	Data 0.013 (0.185)	Loss 3.5295 (3.2417)	Prec@1 23.828 (26.323)	Prec@5 48.438 (54.329)
Epoch: [41][4030/7045]	Time 0.815 (0.248)	Data 0.763 (0.185)	Loss 3.2348 (3.2417)	Prec@1 26.953 (26.320)	Prec@5 58.984 (54.329)
Epoch: [41][4040/7045]	Time 0.117 (0.248)	Data 0.066 (0.185)	Loss 3.0993 (3.2416)	Prec@1 28.906 (26.323)	Prec@5 59.375 (54.331)
Epoch: [41][4050/7045]	Time 0.665 (0.248)	Data 0.615 (0.185)	Loss 3.3400 (3.2416)	Prec@1 26.172 (26.323)	Prec@5 53.516 (54.328)
Epoch: [41][4060/7045]	Time 0.115 (0.248)	Data 0.001 (0.185)	Loss 3.1245 (3.2416)	Prec@1 30.078 (26.325)	Prec@5 57.812 (54.326)
Epoch: [41][4070/7045]	Time 0.758 (0.248)	Data 0.706 (0.185)	Loss 3.3766 (3.2418)	Prec@1 25.781 (26.322)	Prec@5 52.344 (54.322)
Epoch: [41][4080/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 3.1679 (3.2417)	Prec@1 26.562 (26.320)	Prec@5 57.422 (54.324)
Epoch: [41][4090/7045]	Time 0.222 (0.248)	Data 0.171 (0.185)	Loss 3.0262 (3.2417)	Prec@1 31.641 (26.322)	Prec@5 56.641 (54.324)
Epoch: [41][4100/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 3.2355 (3.2418)	Prec@1 25.781 (26.320)	Prec@5 57.031 (54.323)
Epoch: [41][4110/7045]	Time 0.304 (0.248)	Data 0.252 (0.185)	Loss 3.0925 (3.2415)	Prec@1 28.125 (26.324)	Prec@5 57.031 (54.327)
Epoch: [41][4120/7045]	Time 0.100 (0.248)	Data 0.046 (0.185)	Loss 3.2713 (3.2416)	Prec@1 29.297 (26.323)	Prec@5 55.469 (54.324)
Epoch: [41][4130/7045]	Time 0.267 (0.248)	Data 0.209 (0.185)	Loss 3.2479 (3.2416)	Prec@1 26.562 (26.323)	Prec@5 51.562 (54.326)
Epoch: [41][4140/7045]	Time 0.114 (0.248)	Data 0.063 (0.185)	Loss 3.0088 (3.2416)	Prec@1 28.125 (26.324)	Prec@5 55.859 (54.326)
Epoch: [41][4150/7045]	Time 0.109 (0.248)	Data 0.008 (0.185)	Loss 3.1597 (3.2415)	Prec@1 28.516 (26.325)	Prec@5 55.469 (54.327)
Epoch: [41][4160/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 3.2945 (3.2415)	Prec@1 26.562 (26.325)	Prec@5 51.953 (54.329)
Epoch: [41][4170/7045]	Time 0.124 (0.248)	Data 0.072 (0.185)	Loss 3.4260 (3.2414)	Prec@1 26.562 (26.328)	Prec@5 51.562 (54.332)
Epoch: [41][4180/7045]	Time 0.103 (0.248)	Data 0.001 (0.185)	Loss 3.1502 (3.2415)	Prec@1 29.688 (26.326)	Prec@5 54.297 (54.326)
Epoch: [41][4190/7045]	Time 0.103 (0.248)	Data 0.051 (0.185)	Loss 3.3318 (3.2414)	Prec@1 23.828 (26.326)	Prec@5 51.953 (54.329)
Epoch: [41][4200/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 3.2467 (3.2414)	Prec@1 27.344 (26.324)	Prec@5 54.297 (54.329)
Epoch: [41][4210/7045]	Time 0.120 (0.248)	Data 0.069 (0.185)	Loss 3.1689 (3.2412)	Prec@1 30.078 (26.324)	Prec@5 57.812 (54.334)
Epoch: [41][4220/7045]	Time 0.134 (0.248)	Data 0.083 (0.185)	Loss 3.2512 (3.2411)	Prec@1 26.953 (26.325)	Prec@5 53.906 (54.337)
Epoch: [41][4230/7045]	Time 0.161 (0.248)	Data 0.110 (0.185)	Loss 3.3475 (3.2410)	Prec@1 25.000 (26.327)	Prec@5 50.391 (54.339)
Epoch: [41][4240/7045]	Time 0.322 (0.248)	Data 0.269 (0.185)	Loss 3.4281 (3.2411)	Prec@1 21.094 (26.327)	Prec@5 51.172 (54.340)
Epoch: [41][4250/7045]	Time 0.115 (0.248)	Data 0.058 (0.185)	Loss 3.3727 (3.2410)	Prec@1 27.734 (26.331)	Prec@5 52.344 (54.342)
Epoch: [41][4260/7045]	Time 0.534 (0.248)	Data 0.483 (0.185)	Loss 3.4245 (3.2409)	Prec@1 23.828 (26.331)	Prec@5 50.000 (54.343)
Epoch: [41][4270/7045]	Time 0.105 (0.248)	Data 0.053 (0.185)	Loss 3.1915 (3.2408)	Prec@1 26.172 (26.333)	Prec@5 56.250 (54.346)
Epoch: [41][4280/7045]	Time 0.675 (0.248)	Data 0.617 (0.185)	Loss 3.2822 (3.2409)	Prec@1 24.609 (26.332)	Prec@5 53.516 (54.344)
Epoch: [41][4290/7045]	Time 0.109 (0.248)	Data 0.001 (0.185)	Loss 3.1926 (3.2409)	Prec@1 25.391 (26.332)	Prec@5 58.594 (54.345)
Epoch: [41][4300/7045]	Time 0.608 (0.248)	Data 0.550 (0.185)	Loss 3.1719 (3.2408)	Prec@1 27.344 (26.331)	Prec@5 56.641 (54.345)
Epoch: [41][4310/7045]	Time 0.108 (0.248)	Data 0.001 (0.185)	Loss 3.2922 (3.2408)	Prec@1 25.000 (26.332)	Prec@5 53.125 (54.340)
Epoch: [41][4320/7045]	Time 0.684 (0.248)	Data 0.632 (0.185)	Loss 3.0399 (3.2408)	Prec@1 33.203 (26.334)	Prec@5 60.156 (54.343)
Epoch: [41][4330/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 3.0467 (3.2406)	Prec@1 30.078 (26.334)	Prec@5 56.250 (54.346)
Epoch: [41][4340/7045]	Time 0.684 (0.248)	Data 0.627 (0.185)	Loss 3.3703 (3.2406)	Prec@1 21.094 (26.334)	Prec@5 49.219 (54.345)
Epoch: [41][4350/7045]	Time 0.105 (0.248)	Data 0.053 (0.184)	Loss 3.4098 (3.2406)	Prec@1 24.609 (26.335)	Prec@5 51.953 (54.345)
Epoch: [41][4360/7045]	Time 0.666 (0.248)	Data 0.615 (0.185)	Loss 3.2799 (3.2407)	Prec@1 27.344 (26.337)	Prec@5 54.297 (54.344)
Epoch: [41][4370/7045]	Time 0.211 (0.248)	Data 0.159 (0.184)	Loss 3.3607 (3.2409)	Prec@1 26.562 (26.335)	Prec@5 50.000 (54.339)
Epoch: [41][4380/7045]	Time 0.307 (0.248)	Data 0.257 (0.185)	Loss 3.1846 (3.2409)	Prec@1 28.125 (26.335)	Prec@5 53.906 (54.339)
Epoch: [41][4390/7045]	Time 0.129 (0.248)	Data 0.079 (0.185)	Loss 3.2864 (3.2410)	Prec@1 25.781 (26.334)	Prec@5 55.078 (54.338)
Epoch: [41][4400/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 3.4037 (3.2410)	Prec@1 22.656 (26.331)	Prec@5 51.562 (54.336)
Epoch: [41][4410/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 3.3493 (3.2411)	Prec@1 21.484 (26.331)	Prec@5 57.031 (54.336)
Epoch: [41][4420/7045]	Time 0.582 (0.248)	Data 0.532 (0.185)	Loss 3.2761 (3.2411)	Prec@1 23.828 (26.330)	Prec@5 54.297 (54.335)
Epoch: [41][4430/7045]	Time 0.120 (0.248)	Data 0.068 (0.185)	Loss 3.2218 (3.2411)	Prec@1 28.516 (26.331)	Prec@5 55.469 (54.336)
Epoch: [41][4440/7045]	Time 0.539 (0.248)	Data 0.480 (0.185)	Loss 3.0900 (3.2412)	Prec@1 31.641 (26.333)	Prec@5 58.984 (54.336)
Epoch: [41][4450/7045]	Time 0.352 (0.248)	Data 0.294 (0.185)	Loss 3.2063 (3.2411)	Prec@1 30.469 (26.334)	Prec@5 55.469 (54.338)
Epoch: [41][4460/7045]	Time 0.353 (0.248)	Data 0.301 (0.185)	Loss 3.1770 (3.2409)	Prec@1 22.266 (26.338)	Prec@5 56.641 (54.342)
Epoch: [41][4470/7045]	Time 0.496 (0.248)	Data 0.445 (0.185)	Loss 3.3085 (3.2410)	Prec@1 23.828 (26.335)	Prec@5 53.516 (54.339)
Epoch: [41][4480/7045]	Time 0.171 (0.248)	Data 0.120 (0.185)	Loss 3.3163 (3.2412)	Prec@1 25.000 (26.333)	Prec@5 49.609 (54.335)
Epoch: [41][4490/7045]	Time 0.353 (0.248)	Data 0.302 (0.185)	Loss 3.2403 (3.2411)	Prec@1 24.219 (26.333)	Prec@5 55.078 (54.336)
Epoch: [41][4500/7045]	Time 0.294 (0.248)	Data 0.242 (0.185)	Loss 3.1861 (3.2411)	Prec@1 29.688 (26.336)	Prec@5 57.422 (54.336)
Epoch: [41][4510/7045]	Time 0.309 (0.248)	Data 0.258 (0.185)	Loss 3.1338 (3.2411)	Prec@1 26.562 (26.336)	Prec@5 57.422 (54.337)
Epoch: [41][4520/7045]	Time 0.426 (0.248)	Data 0.368 (0.185)	Loss 3.0708 (3.2410)	Prec@1 23.047 (26.334)	Prec@5 59.766 (54.340)
Epoch: [41][4530/7045]	Time 0.211 (0.248)	Data 0.161 (0.185)	Loss 3.4739 (3.2411)	Prec@1 23.438 (26.332)	Prec@5 48.828 (54.337)
Epoch: [41][4540/7045]	Time 0.292 (0.248)	Data 0.241 (0.185)	Loss 3.1532 (3.2411)	Prec@1 29.688 (26.333)	Prec@5 57.422 (54.339)
Epoch: [41][4550/7045]	Time 0.104 (0.248)	Data 0.048 (0.185)	Loss 3.2702 (3.2411)	Prec@1 27.734 (26.334)	Prec@5 53.125 (54.340)
Epoch: [41][4560/7045]	Time 0.264 (0.248)	Data 0.212 (0.185)	Loss 3.0680 (3.2409)	Prec@1 27.344 (26.338)	Prec@5 60.547 (54.344)
Epoch: [41][4570/7045]	Time 0.108 (0.248)	Data 0.056 (0.185)	Loss 3.1771 (3.2409)	Prec@1 27.734 (26.337)	Prec@5 52.344 (54.341)
Epoch: [41][4580/7045]	Time 0.293 (0.248)	Data 0.242 (0.185)	Loss 3.0497 (3.2409)	Prec@1 31.250 (26.338)	Prec@5 57.031 (54.341)
Epoch: [41][4590/7045]	Time 0.102 (0.248)	Data 0.004 (0.185)	Loss 3.0895 (3.2408)	Prec@1 28.516 (26.338)	Prec@5 56.641 (54.344)
Epoch: [41][4600/7045]	Time 0.239 (0.248)	Data 0.184 (0.185)	Loss 3.3436 (3.2408)	Prec@1 25.781 (26.338)	Prec@5 53.906 (54.345)
Epoch: [41][4610/7045]	Time 0.281 (0.248)	Data 0.231 (0.185)	Loss 3.1770 (3.2409)	Prec@1 30.859 (26.341)	Prec@5 53.906 (54.342)
Epoch: [41][4620/7045]	Time 0.102 (0.248)	Data 0.017 (0.185)	Loss 3.2229 (3.2408)	Prec@1 28.516 (26.342)	Prec@5 52.734 (54.344)
Epoch: [41][4630/7045]	Time 0.241 (0.248)	Data 0.189 (0.185)	Loss 3.1807 (3.2407)	Prec@1 24.219 (26.342)	Prec@5 54.688 (54.346)
Epoch: [41][4640/7045]	Time 0.102 (0.248)	Data 0.005 (0.185)	Loss 3.3155 (3.2408)	Prec@1 25.781 (26.343)	Prec@5 49.609 (54.345)
Epoch: [41][4650/7045]	Time 0.184 (0.248)	Data 0.133 (0.185)	Loss 3.2400 (3.2408)	Prec@1 24.609 (26.344)	Prec@5 55.078 (54.344)
Epoch: [41][4660/7045]	Time 0.104 (0.248)	Data 0.052 (0.185)	Loss 3.1130 (3.2407)	Prec@1 26.953 (26.344)	Prec@5 57.031 (54.344)
Epoch: [41][4670/7045]	Time 0.138 (0.248)	Data 0.087 (0.184)	Loss 3.2308 (3.2408)	Prec@1 26.562 (26.342)	Prec@5 55.859 (54.344)
Epoch: [41][4680/7045]	Time 0.110 (0.248)	Data 0.001 (0.185)	Loss 3.4392 (3.2408)	Prec@1 23.047 (26.341)	Prec@5 51.172 (54.345)
Epoch: [41][4690/7045]	Time 0.101 (0.248)	Data 0.001 (0.184)	Loss 3.0746 (3.2407)	Prec@1 28.516 (26.342)	Prec@5 58.594 (54.347)
Epoch: [41][4700/7045]	Time 0.107 (0.248)	Data 0.007 (0.184)	Loss 3.2211 (3.2407)	Prec@1 22.656 (26.342)	Prec@5 53.516 (54.348)
Epoch: [41][4710/7045]	Time 0.100 (0.248)	Data 0.001 (0.184)	Loss 3.3687 (3.2408)	Prec@1 23.828 (26.343)	Prec@5 51.562 (54.349)
Epoch: [41][4720/7045]	Time 0.102 (0.248)	Data 0.004 (0.184)	Loss 3.2996 (3.2407)	Prec@1 27.734 (26.343)	Prec@5 53.125 (54.349)
Epoch: [41][4730/7045]	Time 0.126 (0.248)	Data 0.074 (0.184)	Loss 3.3867 (3.2407)	Prec@1 27.344 (26.341)	Prec@5 50.391 (54.347)
Epoch: [41][4740/7045]	Time 0.101 (0.248)	Data 0.007 (0.184)	Loss 3.5021 (3.2408)	Prec@1 22.266 (26.339)	Prec@5 53.125 (54.346)
Epoch: [41][4750/7045]	Time 0.102 (0.248)	Data 0.014 (0.184)	Loss 3.3316 (3.2407)	Prec@1 25.391 (26.339)	Prec@5 53.125 (54.349)
Epoch: [41][4760/7045]	Time 0.101 (0.248)	Data 0.013 (0.184)	Loss 2.9925 (3.2409)	Prec@1 28.516 (26.338)	Prec@5 59.766 (54.348)
Epoch: [41][4770/7045]	Time 0.101 (0.248)	Data 0.001 (0.184)	Loss 3.4539 (3.2409)	Prec@1 23.438 (26.337)	Prec@5 50.781 (54.346)
Epoch: [41][4780/7045]	Time 0.123 (0.248)	Data 0.071 (0.184)	Loss 3.0658 (3.2408)	Prec@1 28.906 (26.339)	Prec@5 58.984 (54.350)
Epoch: [41][4790/7045]	Time 0.099 (0.248)	Data 0.047 (0.184)	Loss 3.2028 (3.2407)	Prec@1 27.344 (26.340)	Prec@5 55.078 (54.351)
Epoch: [41][4800/7045]	Time 0.171 (0.248)	Data 0.118 (0.184)	Loss 2.9943 (3.2406)	Prec@1 30.859 (26.342)	Prec@5 61.719 (54.355)
Epoch: [41][4810/7045]	Time 0.248 (0.248)	Data 0.197 (0.184)	Loss 3.0530 (3.2406)	Prec@1 28.906 (26.341)	Prec@5 58.984 (54.354)
Epoch: [41][4820/7045]	Time 0.233 (0.248)	Data 0.181 (0.184)	Loss 3.2423 (3.2407)	Prec@1 27.344 (26.340)	Prec@5 57.812 (54.356)
Epoch: [41][4830/7045]	Time 0.108 (0.248)	Data 0.056 (0.184)	Loss 3.3034 (3.2406)	Prec@1 23.438 (26.339)	Prec@5 53.125 (54.357)
Epoch: [41][4840/7045]	Time 0.269 (0.248)	Data 0.216 (0.184)	Loss 3.2769 (3.2406)	Prec@1 28.516 (26.340)	Prec@5 50.391 (54.355)
Epoch: [41][4850/7045]	Time 0.101 (0.248)	Data 0.002 (0.184)	Loss 3.3391 (3.2406)	Prec@1 26.172 (26.340)	Prec@5 50.000 (54.356)
Epoch: [41][4860/7045]	Time 0.483 (0.248)	Data 0.426 (0.184)	Loss 3.3077 (3.2406)	Prec@1 22.656 (26.339)	Prec@5 55.859 (54.355)
Epoch: [41][4870/7045]	Time 0.103 (0.248)	Data 0.001 (0.184)	Loss 3.1649 (3.2405)	Prec@1 29.297 (26.339)	Prec@5 55.469 (54.357)
Epoch: [41][4880/7045]	Time 0.631 (0.248)	Data 0.580 (0.184)	Loss 3.3738 (3.2405)	Prec@1 27.734 (26.342)	Prec@5 53.906 (54.358)
Epoch: [41][4890/7045]	Time 0.108 (0.248)	Data 0.056 (0.184)	Loss 3.3380 (3.2405)	Prec@1 25.781 (26.341)	Prec@5 51.172 (54.354)
Epoch: [41][4900/7045]	Time 0.546 (0.248)	Data 0.494 (0.184)	Loss 3.2343 (3.2406)	Prec@1 25.391 (26.342)	Prec@5 55.078 (54.354)
Epoch: [41][4910/7045]	Time 0.101 (0.248)	Data 0.001 (0.184)	Loss 3.1068 (3.2405)	Prec@1 29.688 (26.341)	Prec@5 57.422 (54.355)
Epoch: [41][4920/7045]	Time 0.415 (0.248)	Data 0.363 (0.184)	Loss 3.1409 (3.2405)	Prec@1 26.953 (26.343)	Prec@5 56.250 (54.355)
Epoch: [41][4930/7045]	Time 0.101 (0.248)	Data 0.001 (0.184)	Loss 3.1688 (3.2404)	Prec@1 28.125 (26.344)	Prec@5 55.078 (54.355)
Epoch: [41][4940/7045]	Time 0.501 (0.248)	Data 0.451 (0.184)	Loss 3.1002 (3.2404)	Prec@1 28.125 (26.345)	Prec@5 52.734 (54.354)
Epoch: [41][4950/7045]	Time 0.109 (0.248)	Data 0.001 (0.184)	Loss 3.4408 (3.2404)	Prec@1 25.000 (26.342)	Prec@5 49.219 (54.350)
Epoch: [41][4960/7045]	Time 0.711 (0.248)	Data 0.645 (0.184)	Loss 3.2142 (3.2403)	Prec@1 27.344 (26.347)	Prec@5 54.297 (54.350)
Epoch: [41][4970/7045]	Time 0.110 (0.248)	Data 0.001 (0.184)	Loss 3.1848 (3.2403)	Prec@1 28.906 (26.346)	Prec@5 54.688 (54.349)
Epoch: [41][4980/7045]	Time 0.562 (0.248)	Data 0.510 (0.184)	Loss 3.3534 (3.2404)	Prec@1 27.734 (26.344)	Prec@5 49.609 (54.346)
Epoch: [41][4990/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 3.0037 (3.2404)	Prec@1 33.203 (26.343)	Prec@5 56.250 (54.345)
Epoch: [41][5000/7045]	Time 0.472 (0.248)	Data 0.420 (0.184)	Loss 3.1091 (3.2404)	Prec@1 27.734 (26.344)	Prec@5 57.422 (54.345)
Epoch: [41][5010/7045]	Time 0.110 (0.248)	Data 0.057 (0.184)	Loss 2.9628 (3.2404)	Prec@1 30.469 (26.342)	Prec@5 60.938 (54.347)
Epoch: [41][5020/7045]	Time 0.447 (0.248)	Data 0.396 (0.184)	Loss 3.4148 (3.2404)	Prec@1 21.484 (26.343)	Prec@5 52.344 (54.347)
Epoch: [41][5030/7045]	Time 0.291 (0.248)	Data 0.240 (0.184)	Loss 3.2283 (3.2403)	Prec@1 25.391 (26.344)	Prec@5 55.859 (54.351)
Epoch: [41][5040/7045]	Time 0.250 (0.248)	Data 0.199 (0.184)	Loss 3.2870 (3.2402)	Prec@1 26.953 (26.348)	Prec@5 57.422 (54.356)
Epoch: [41][5050/7045]	Time 0.193 (0.248)	Data 0.141 (0.184)	Loss 3.3891 (3.2402)	Prec@1 27.734 (26.348)	Prec@5 52.344 (54.356)
Epoch: [41][5060/7045]	Time 0.107 (0.248)	Data 0.007 (0.184)	Loss 3.2505 (3.2402)	Prec@1 27.344 (26.349)	Prec@5 55.469 (54.357)
Epoch: [41][5070/7045]	Time 0.115 (0.248)	Data 0.064 (0.184)	Loss 3.2913 (3.2401)	Prec@1 28.125 (26.350)	Prec@5 53.906 (54.357)
Epoch: [41][5080/7045]	Time 0.102 (0.248)	Data 0.004 (0.184)	Loss 3.0119 (3.2402)	Prec@1 30.078 (26.350)	Prec@5 60.938 (54.356)
Epoch: [41][5090/7045]	Time 0.102 (0.248)	Data 0.017 (0.184)	Loss 3.1335 (3.2401)	Prec@1 30.469 (26.351)	Prec@5 56.641 (54.357)
Epoch: [41][5100/7045]	Time 0.306 (0.248)	Data 0.255 (0.184)	Loss 3.1087 (3.2402)	Prec@1 30.859 (26.351)	Prec@5 58.984 (54.355)
Epoch: [41][5110/7045]	Time 0.187 (0.248)	Data 0.136 (0.184)	Loss 3.3965 (3.2403)	Prec@1 25.781 (26.350)	Prec@5 50.000 (54.354)
Epoch: [41][5120/7045]	Time 0.139 (0.248)	Data 0.087 (0.184)	Loss 3.5630 (3.2405)	Prec@1 20.703 (26.347)	Prec@5 44.531 (54.351)
Epoch: [41][5130/7045]	Time 0.106 (0.248)	Data 0.055 (0.184)	Loss 3.3524 (3.2405)	Prec@1 26.172 (26.347)	Prec@5 51.172 (54.351)
Epoch: [41][5140/7045]	Time 0.276 (0.248)	Data 0.225 (0.184)	Loss 3.1879 (3.2404)	Prec@1 22.656 (26.348)	Prec@5 57.812 (54.355)
Epoch: [41][5150/7045]	Time 0.109 (0.248)	Data 0.006 (0.184)	Loss 3.3190 (3.2405)	Prec@1 27.344 (26.349)	Prec@5 51.562 (54.353)
Epoch: [41][5160/7045]	Time 0.101 (0.248)	Data 0.009 (0.184)	Loss 3.3746 (3.2406)	Prec@1 23.438 (26.348)	Prec@5 50.000 (54.351)
Epoch: [41][5170/7045]	Time 0.233 (0.248)	Data 0.181 (0.184)	Loss 3.4444 (3.2406)	Prec@1 21.484 (26.349)	Prec@5 48.438 (54.350)
Epoch: [41][5180/7045]	Time 0.137 (0.248)	Data 0.086 (0.184)	Loss 3.5073 (3.2406)	Prec@1 21.094 (26.350)	Prec@5 47.266 (54.349)
Epoch: [41][5190/7045]	Time 0.176 (0.248)	Data 0.125 (0.184)	Loss 3.2390 (3.2406)	Prec@1 25.781 (26.350)	Prec@5 57.812 (54.350)
Epoch: [41][5200/7045]	Time 0.102 (0.248)	Data 0.018 (0.184)	Loss 3.1891 (3.2406)	Prec@1 28.125 (26.350)	Prec@5 60.547 (54.350)
Epoch: [41][5210/7045]	Time 0.127 (0.248)	Data 0.074 (0.184)	Loss 3.5232 (3.2407)	Prec@1 24.219 (26.352)	Prec@5 48.438 (54.349)
Epoch: [41][5220/7045]	Time 0.101 (0.248)	Data 0.001 (0.184)	Loss 3.1688 (3.2406)	Prec@1 25.781 (26.352)	Prec@5 56.641 (54.350)
Epoch: [41][5230/7045]	Time 0.428 (0.248)	Data 0.377 (0.184)	Loss 3.1499 (3.2405)	Prec@1 28.906 (26.354)	Prec@5 57.422 (54.354)
Epoch: [41][5240/7045]	Time 0.168 (0.248)	Data 0.118 (0.184)	Loss 3.3873 (3.2405)	Prec@1 21.875 (26.352)	Prec@5 51.172 (54.354)
Epoch: [41][5250/7045]	Time 0.666 (0.248)	Data 0.615 (0.184)	Loss 3.1638 (3.2404)	Prec@1 26.172 (26.354)	Prec@5 56.250 (54.358)
Epoch: [41][5260/7045]	Time 0.129 (0.248)	Data 0.078 (0.184)	Loss 3.3489 (3.2404)	Prec@1 24.219 (26.357)	Prec@5 51.562 (54.358)
Epoch: [41][5270/7045]	Time 0.565 (0.248)	Data 0.515 (0.184)	Loss 3.3478 (3.2405)	Prec@1 25.000 (26.355)	Prec@5 50.000 (54.355)
Epoch: [41][5280/7045]	Time 0.185 (0.248)	Data 0.133 (0.184)	Loss 3.4506 (3.2406)	Prec@1 22.656 (26.353)	Prec@5 50.781 (54.355)
Epoch: [41][5290/7045]	Time 0.114 (0.248)	Data 0.064 (0.184)	Loss 3.1212 (3.2406)	Prec@1 27.344 (26.354)	Prec@5 56.641 (54.355)
Epoch: [41][5300/7045]	Time 0.240 (0.248)	Data 0.182 (0.184)	Loss 3.1973 (3.2404)	Prec@1 28.906 (26.359)	Prec@5 55.078 (54.357)
Epoch: [41][5310/7045]	Time 0.110 (0.248)	Data 0.057 (0.184)	Loss 3.3493 (3.2405)	Prec@1 26.562 (26.358)	Prec@5 48.047 (54.354)
Epoch: [41][5320/7045]	Time 0.403 (0.248)	Data 0.351 (0.184)	Loss 3.3224 (3.2405)	Prec@1 25.391 (26.357)	Prec@5 52.344 (54.351)
Epoch: [41][5330/7045]	Time 0.188 (0.248)	Data 0.137 (0.184)	Loss 3.0970 (3.2405)	Prec@1 27.734 (26.357)	Prec@5 57.812 (54.350)
Epoch: [41][5340/7045]	Time 0.381 (0.248)	Data 0.320 (0.184)	Loss 3.2458 (3.2406)	Prec@1 25.391 (26.355)	Prec@5 54.688 (54.350)
Epoch: [41][5350/7045]	Time 0.353 (0.248)	Data 0.302 (0.184)	Loss 3.2877 (3.2406)	Prec@1 23.047 (26.354)	Prec@5 54.297 (54.349)
Epoch: [41][5360/7045]	Time 0.106 (0.248)	Data 0.054 (0.184)	Loss 3.1281 (3.2405)	Prec@1 26.953 (26.357)	Prec@5 55.859 (54.350)
Epoch: [41][5370/7045]	Time 0.487 (0.248)	Data 0.427 (0.184)	Loss 3.1863 (3.2405)	Prec@1 27.734 (26.356)	Prec@5 56.641 (54.351)
Epoch: [41][5380/7045]	Time 0.104 (0.248)	Data 0.052 (0.184)	Loss 3.3625 (3.2406)	Prec@1 20.703 (26.354)	Prec@5 50.391 (54.351)
Epoch: [41][5390/7045]	Time 0.519 (0.248)	Data 0.460 (0.184)	Loss 3.1717 (3.2406)	Prec@1 27.734 (26.354)	Prec@5 55.859 (54.350)
Epoch: [41][5400/7045]	Time 0.493 (0.248)	Data 0.441 (0.184)	Loss 3.2135 (3.2405)	Prec@1 28.125 (26.355)	Prec@5 55.469 (54.351)
Epoch: [41][5410/7045]	Time 0.293 (0.248)	Data 0.241 (0.184)	Loss 3.2284 (3.2406)	Prec@1 24.609 (26.356)	Prec@5 53.516 (54.347)
Epoch: [41][5420/7045]	Time 0.724 (0.248)	Data 0.674 (0.184)	Loss 3.2457 (3.2406)	Prec@1 25.391 (26.357)	Prec@5 53.906 (54.348)
Epoch: [41][5430/7045]	Time 0.096 (0.248)	Data 0.001 (0.184)	Loss 3.3314 (3.2405)	Prec@1 28.125 (26.360)	Prec@5 55.469 (54.350)
Epoch: [41][5440/7045]	Time 0.460 (0.248)	Data 0.409 (0.184)	Loss 3.0505 (3.2405)	Prec@1 28.516 (26.362)	Prec@5 59.375 (54.352)
Epoch: [41][5450/7045]	Time 0.142 (0.248)	Data 0.089 (0.184)	Loss 3.1871 (3.2405)	Prec@1 26.562 (26.361)	Prec@5 54.688 (54.352)
Epoch: [41][5460/7045]	Time 0.362 (0.248)	Data 0.310 (0.184)	Loss 3.2452 (3.2404)	Prec@1 25.781 (26.362)	Prec@5 52.734 (54.353)
Epoch: [41][5470/7045]	Time 0.198 (0.248)	Data 0.146 (0.184)	Loss 3.2825 (3.2404)	Prec@1 25.000 (26.361)	Prec@5 52.344 (54.351)
Epoch: [41][5480/7045]	Time 0.306 (0.248)	Data 0.255 (0.184)	Loss 3.1494 (3.2404)	Prec@1 25.000 (26.361)	Prec@5 55.469 (54.351)
Epoch: [41][5490/7045]	Time 0.117 (0.248)	Data 0.067 (0.184)	Loss 3.2335 (3.2405)	Prec@1 26.172 (26.360)	Prec@5 56.641 (54.352)
Epoch: [41][5500/7045]	Time 0.245 (0.248)	Data 0.193 (0.185)	Loss 3.0859 (3.2403)	Prec@1 28.516 (26.364)	Prec@5 58.203 (54.357)
Epoch: [41][5510/7045]	Time 0.295 (0.248)	Data 0.243 (0.184)	Loss 3.0862 (3.2402)	Prec@1 24.219 (26.364)	Prec@5 57.812 (54.359)
Epoch: [41][5520/7045]	Time 0.309 (0.248)	Data 0.255 (0.185)	Loss 3.3459 (3.2403)	Prec@1 28.516 (26.363)	Prec@5 55.078 (54.360)
Epoch: [41][5530/7045]	Time 0.744 (0.248)	Data 0.693 (0.185)	Loss 3.1861 (3.2401)	Prec@1 23.438 (26.367)	Prec@5 54.688 (54.363)
Epoch: [41][5540/7045]	Time 0.197 (0.248)	Data 0.145 (0.184)	Loss 3.2333 (3.2400)	Prec@1 23.828 (26.366)	Prec@5 53.516 (54.364)
Epoch: [41][5550/7045]	Time 0.383 (0.248)	Data 0.331 (0.184)	Loss 3.3082 (3.2400)	Prec@1 24.219 (26.367)	Prec@5 50.781 (54.365)
Epoch: [41][5560/7045]	Time 0.101 (0.248)	Data 0.002 (0.184)	Loss 3.2161 (3.2401)	Prec@1 25.000 (26.366)	Prec@5 54.688 (54.365)
Epoch: [41][5570/7045]	Time 0.234 (0.248)	Data 0.182 (0.185)	Loss 3.4018 (3.2401)	Prec@1 21.094 (26.365)	Prec@5 48.828 (54.364)
Epoch: [41][5580/7045]	Time 0.113 (0.248)	Data 0.062 (0.184)	Loss 3.0329 (3.2401)	Prec@1 29.688 (26.364)	Prec@5 58.984 (54.366)
Epoch: [41][5590/7045]	Time 0.102 (0.248)	Data 0.015 (0.184)	Loss 3.2244 (3.2401)	Prec@1 26.562 (26.365)	Prec@5 52.344 (54.367)
Epoch: [41][5600/7045]	Time 0.174 (0.248)	Data 0.122 (0.184)	Loss 3.2140 (3.2401)	Prec@1 27.734 (26.366)	Prec@5 56.250 (54.366)
Epoch: [41][5610/7045]	Time 0.108 (0.248)	Data 0.056 (0.184)	Loss 3.2993 (3.2401)	Prec@1 24.609 (26.366)	Prec@5 54.297 (54.367)
Epoch: [41][5620/7045]	Time 0.274 (0.248)	Data 0.222 (0.184)	Loss 3.0994 (3.2400)	Prec@1 28.516 (26.367)	Prec@5 58.203 (54.368)
Epoch: [41][5630/7045]	Time 0.215 (0.248)	Data 0.164 (0.184)	Loss 3.1609 (3.2400)	Prec@1 30.078 (26.367)	Prec@5 57.422 (54.367)
Epoch: [41][5640/7045]	Time 0.293 (0.248)	Data 0.240 (0.184)	Loss 3.2554 (3.2401)	Prec@1 25.781 (26.366)	Prec@5 55.078 (54.367)
Epoch: [41][5650/7045]	Time 0.126 (0.248)	Data 0.071 (0.184)	Loss 3.3014 (3.2402)	Prec@1 26.172 (26.365)	Prec@5 52.734 (54.366)
Epoch: [41][5660/7045]	Time 0.102 (0.248)	Data 0.006 (0.184)	Loss 3.4015 (3.2402)	Prec@1 21.094 (26.364)	Prec@5 52.734 (54.364)
Epoch: [41][5670/7045]	Time 0.235 (0.248)	Data 0.184 (0.184)	Loss 3.0817 (3.2400)	Prec@1 26.562 (26.366)	Prec@5 58.203 (54.369)
Epoch: [41][5680/7045]	Time 0.100 (0.248)	Data 0.001 (0.184)	Loss 3.2133 (3.2400)	Prec@1 26.953 (26.364)	Prec@5 54.688 (54.370)
Epoch: [41][5690/7045]	Time 0.177 (0.248)	Data 0.127 (0.184)	Loss 2.9565 (3.2399)	Prec@1 31.641 (26.366)	Prec@5 58.594 (54.373)
Epoch: [41][5700/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 3.3532 (3.2400)	Prec@1 28.516 (26.363)	Prec@5 54.297 (54.372)
Epoch: [41][5710/7045]	Time 0.371 (0.248)	Data 0.319 (0.184)	Loss 3.2867 (3.2400)	Prec@1 25.000 (26.363)	Prec@5 52.344 (54.370)
Epoch: [41][5720/7045]	Time 0.221 (0.248)	Data 0.169 (0.184)	Loss 3.3584 (3.2402)	Prec@1 24.219 (26.360)	Prec@5 52.734 (54.367)
Epoch: [41][5730/7045]	Time 0.128 (0.248)	Data 0.078 (0.184)	Loss 2.9343 (3.2401)	Prec@1 29.688 (26.360)	Prec@5 58.984 (54.365)
Epoch: [41][5740/7045]	Time 0.229 (0.248)	Data 0.177 (0.184)	Loss 3.2708 (3.2401)	Prec@1 25.781 (26.361)	Prec@5 53.125 (54.366)
Epoch: [41][5750/7045]	Time 0.102 (0.248)	Data 0.019 (0.184)	Loss 3.1750 (3.2402)	Prec@1 28.516 (26.362)	Prec@5 53.906 (54.364)
Epoch: [41][5760/7045]	Time 0.139 (0.248)	Data 0.088 (0.184)	Loss 3.2046 (3.2402)	Prec@1 26.953 (26.363)	Prec@5 56.250 (54.364)
Epoch: [41][5770/7045]	Time 0.391 (0.248)	Data 0.339 (0.184)	Loss 3.3534 (3.2403)	Prec@1 22.266 (26.360)	Prec@5 53.516 (54.362)
Epoch: [41][5780/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 3.3126 (3.2403)	Prec@1 24.219 (26.358)	Prec@5 53.125 (54.361)
Epoch: [41][5790/7045]	Time 0.477 (0.248)	Data 0.419 (0.184)	Loss 3.0879 (3.2403)	Prec@1 29.688 (26.359)	Prec@5 56.641 (54.360)
Epoch: [41][5800/7045]	Time 0.104 (0.248)	Data 0.001 (0.184)	Loss 3.3920 (3.2404)	Prec@1 26.953 (26.359)	Prec@5 51.953 (54.360)
Epoch: [41][5810/7045]	Time 0.628 (0.248)	Data 0.570 (0.184)	Loss 3.0866 (3.2404)	Prec@1 30.078 (26.360)	Prec@5 53.516 (54.360)
Epoch: [41][5820/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 3.1217 (3.2404)	Prec@1 26.562 (26.358)	Prec@5 53.516 (54.360)
Epoch: [41][5830/7045]	Time 0.734 (0.248)	Data 0.674 (0.184)	Loss 3.2590 (3.2404)	Prec@1 27.734 (26.359)	Prec@5 56.641 (54.360)
Epoch: [41][5840/7045]	Time 0.112 (0.248)	Data 0.001 (0.184)	Loss 3.3270 (3.2403)	Prec@1 23.047 (26.360)	Prec@5 54.688 (54.363)
Epoch: [41][5850/7045]	Time 0.636 (0.248)	Data 0.583 (0.184)	Loss 3.4018 (3.2403)	Prec@1 24.609 (26.361)	Prec@5 47.656 (54.363)
Epoch: [41][5860/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 3.1631 (3.2402)	Prec@1 28.125 (26.363)	Prec@5 54.297 (54.366)
Epoch: [41][5870/7045]	Time 0.369 (0.248)	Data 0.317 (0.184)	Loss 3.1893 (3.2400)	Prec@1 31.250 (26.366)	Prec@5 58.984 (54.371)
Epoch: [41][5880/7045]	Time 0.104 (0.248)	Data 0.018 (0.184)	Loss 3.3302 (3.2400)	Prec@1 23.438 (26.367)	Prec@5 51.562 (54.373)
Epoch: [41][5890/7045]	Time 0.108 (0.248)	Data 0.004 (0.184)	Loss 3.0761 (3.2398)	Prec@1 31.250 (26.370)	Prec@5 56.641 (54.375)
Epoch: [41][5900/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 3.2574 (3.2397)	Prec@1 26.953 (26.373)	Prec@5 56.641 (54.378)
Epoch: [41][5910/7045]	Time 0.166 (0.248)	Data 0.115 (0.184)	Loss 3.3274 (3.2397)	Prec@1 25.000 (26.373)	Prec@5 53.125 (54.378)
Epoch: [41][5920/7045]	Time 0.101 (0.248)	Data 0.013 (0.184)	Loss 3.1755 (3.2397)	Prec@1 28.125 (26.372)	Prec@5 54.688 (54.378)
Epoch: [41][5930/7045]	Time 0.207 (0.248)	Data 0.155 (0.184)	Loss 3.2801 (3.2397)	Prec@1 25.781 (26.372)	Prec@5 56.641 (54.378)
Epoch: [41][5940/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 3.2638 (3.2399)	Prec@1 24.609 (26.371)	Prec@5 55.078 (54.376)
Epoch: [41][5950/7045]	Time 0.240 (0.248)	Data 0.189 (0.184)	Loss 3.1757 (3.2397)	Prec@1 29.297 (26.373)	Prec@5 56.250 (54.378)
Epoch: [41][5960/7045]	Time 0.101 (0.248)	Data 0.001 (0.184)	Loss 3.4083 (3.2397)	Prec@1 24.609 (26.374)	Prec@5 50.781 (54.380)
Epoch: [41][5970/7045]	Time 0.113 (0.248)	Data 0.062 (0.184)	Loss 3.0444 (3.2397)	Prec@1 27.734 (26.374)	Prec@5 58.984 (54.381)
Epoch: [41][5980/7045]	Time 0.109 (0.248)	Data 0.057 (0.184)	Loss 3.1762 (3.2396)	Prec@1 27.344 (26.375)	Prec@5 57.812 (54.381)
Epoch: [41][5990/7045]	Time 0.495 (0.248)	Data 0.444 (0.184)	Loss 3.4436 (3.2397)	Prec@1 26.172 (26.372)	Prec@5 47.656 (54.377)
Epoch: [41][6000/7045]	Time 0.190 (0.248)	Data 0.139 (0.184)	Loss 3.2251 (3.2397)	Prec@1 26.953 (26.373)	Prec@5 54.688 (54.377)
Epoch: [41][6010/7045]	Time 0.396 (0.248)	Data 0.346 (0.184)	Loss 3.2291 (3.2397)	Prec@1 25.391 (26.373)	Prec@5 50.391 (54.377)
Epoch: [41][6020/7045]	Time 0.140 (0.248)	Data 0.075 (0.184)	Loss 3.2242 (3.2397)	Prec@1 28.516 (26.374)	Prec@5 55.078 (54.378)
Epoch: [41][6030/7045]	Time 0.468 (0.248)	Data 0.418 (0.184)	Loss 3.2026 (3.2396)	Prec@1 28.125 (26.375)	Prec@5 55.469 (54.378)
Epoch: [41][6040/7045]	Time 0.109 (0.248)	Data 0.007 (0.184)	Loss 3.1905 (3.2396)	Prec@1 28.125 (26.375)	Prec@5 54.688 (54.379)
Epoch: [41][6050/7045]	Time 0.468 (0.248)	Data 0.415 (0.184)	Loss 3.0926 (3.2397)	Prec@1 31.641 (26.373)	Prec@5 55.078 (54.375)
Epoch: [41][6060/7045]	Time 0.099 (0.248)	Data 0.001 (0.184)	Loss 3.1878 (3.2398)	Prec@1 27.344 (26.372)	Prec@5 55.078 (54.375)
Epoch: [41][6070/7045]	Time 0.573 (0.248)	Data 0.522 (0.184)	Loss 2.9747 (3.2397)	Prec@1 29.297 (26.372)	Prec@5 60.938 (54.377)
Epoch: [41][6080/7045]	Time 0.104 (0.248)	Data 0.052 (0.184)	Loss 3.2114 (3.2395)	Prec@1 26.562 (26.375)	Prec@5 55.078 (54.379)
Epoch: [41][6090/7045]	Time 0.606 (0.248)	Data 0.555 (0.184)	Loss 3.1283 (3.2395)	Prec@1 28.125 (26.375)	Prec@5 55.859 (54.381)
Epoch: [41][6100/7045]	Time 0.103 (0.248)	Data 0.052 (0.184)	Loss 3.0953 (3.2394)	Prec@1 27.734 (26.377)	Prec@5 54.297 (54.381)
Epoch: [41][6110/7045]	Time 0.532 (0.248)	Data 0.479 (0.184)	Loss 3.1812 (3.2394)	Prec@1 26.953 (26.375)	Prec@5 54.297 (54.381)
Epoch: [41][6120/7045]	Time 0.100 (0.248)	Data 0.006 (0.184)	Loss 3.2465 (3.2394)	Prec@1 27.344 (26.377)	Prec@5 52.734 (54.383)
Epoch: [41][6130/7045]	Time 0.317 (0.248)	Data 0.267 (0.184)	Loss 3.2314 (3.2393)	Prec@1 26.562 (26.376)	Prec@5 55.469 (54.383)
Epoch: [41][6140/7045]	Time 0.101 (0.248)	Data 0.007 (0.184)	Loss 3.1325 (3.2393)	Prec@1 25.000 (26.377)	Prec@5 56.250 (54.385)
Epoch: [41][6150/7045]	Time 0.108 (0.248)	Data 0.057 (0.184)	Loss 3.4063 (3.2394)	Prec@1 25.000 (26.378)	Prec@5 53.906 (54.384)
Epoch: [41][6160/7045]	Time 0.110 (0.248)	Data 0.001 (0.184)	Loss 3.4250 (3.2394)	Prec@1 21.484 (26.379)	Prec@5 53.516 (54.383)
Epoch: [41][6170/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 3.1320 (3.2393)	Prec@1 27.734 (26.378)	Prec@5 58.594 (54.383)
Epoch: [41][6180/7045]	Time 0.135 (0.248)	Data 0.084 (0.184)	Loss 3.1305 (3.2393)	Prec@1 27.734 (26.377)	Prec@5 58.203 (54.384)
Epoch: [41][6190/7045]	Time 0.102 (0.248)	Data 0.049 (0.184)	Loss 3.2251 (3.2394)	Prec@1 25.000 (26.376)	Prec@5 52.734 (54.384)
Epoch: [41][6200/7045]	Time 0.169 (0.248)	Data 0.118 (0.184)	Loss 3.1986 (3.2393)	Prec@1 25.391 (26.378)	Prec@5 55.078 (54.384)
Epoch: [41][6210/7045]	Time 0.236 (0.248)	Data 0.184 (0.184)	Loss 3.3001 (3.2394)	Prec@1 27.734 (26.378)	Prec@5 51.562 (54.385)
Epoch: [41][6220/7045]	Time 0.102 (0.248)	Data 0.011 (0.184)	Loss 3.4633 (3.2394)	Prec@1 22.266 (26.375)	Prec@5 47.266 (54.385)
Epoch: [41][6230/7045]	Time 0.284 (0.248)	Data 0.232 (0.184)	Loss 3.2233 (3.2394)	Prec@1 28.516 (26.373)	Prec@5 55.078 (54.384)
Epoch: [41][6240/7045]	Time 0.119 (0.248)	Data 0.069 (0.184)	Loss 3.2512 (3.2396)	Prec@1 27.734 (26.371)	Prec@5 53.125 (54.382)
Epoch: [41][6250/7045]	Time 0.400 (0.248)	Data 0.339 (0.184)	Loss 3.1572 (3.2395)	Prec@1 23.828 (26.369)	Prec@5 57.812 (54.385)
Epoch: [41][6260/7045]	Time 0.124 (0.248)	Data 0.073 (0.184)	Loss 3.2287 (3.2396)	Prec@1 26.953 (26.368)	Prec@5 51.562 (54.381)
Epoch: [41][6270/7045]	Time 0.370 (0.248)	Data 0.318 (0.184)	Loss 3.1329 (3.2396)	Prec@1 26.953 (26.368)	Prec@5 57.031 (54.383)
Epoch: [41][6280/7045]	Time 0.332 (0.248)	Data 0.279 (0.184)	Loss 2.9660 (3.2395)	Prec@1 28.906 (26.369)	Prec@5 60.547 (54.383)
Epoch: [41][6290/7045]	Time 0.184 (0.248)	Data 0.124 (0.184)	Loss 3.0133 (3.2395)	Prec@1 29.688 (26.371)	Prec@5 58.594 (54.383)
Epoch: [41][6300/7045]	Time 0.578 (0.248)	Data 0.526 (0.184)	Loss 3.4575 (3.2394)	Prec@1 24.609 (26.371)	Prec@5 52.344 (54.384)
Epoch: [41][6310/7045]	Time 0.111 (0.248)	Data 0.056 (0.184)	Loss 3.1250 (3.2394)	Prec@1 28.516 (26.372)	Prec@5 60.156 (54.383)
Epoch: [41][6320/7045]	Time 0.115 (0.248)	Data 0.062 (0.184)	Loss 3.3417 (3.2395)	Prec@1 27.734 (26.372)	Prec@5 51.953 (54.383)
Epoch: [41][6330/7045]	Time 0.109 (0.248)	Data 0.057 (0.184)	Loss 3.4407 (3.2395)	Prec@1 25.000 (26.370)	Prec@5 51.562 (54.382)
Epoch: [41][6340/7045]	Time 0.304 (0.248)	Data 0.254 (0.184)	Loss 3.4104 (3.2396)	Prec@1 25.781 (26.370)	Prec@5 55.859 (54.383)
Epoch: [41][6350/7045]	Time 0.491 (0.248)	Data 0.440 (0.184)	Loss 3.2064 (3.2395)	Prec@1 28.125 (26.371)	Prec@5 53.906 (54.383)
Epoch: [41][6360/7045]	Time 0.208 (0.248)	Data 0.156 (0.184)	Loss 3.3003 (3.2396)	Prec@1 24.609 (26.371)	Prec@5 51.562 (54.381)
Epoch: [41][6370/7045]	Time 0.536 (0.248)	Data 0.477 (0.184)	Loss 3.1828 (3.2396)	Prec@1 25.391 (26.369)	Prec@5 53.125 (54.379)
Epoch: [41][6380/7045]	Time 0.110 (0.248)	Data 0.057 (0.184)	Loss 3.1224 (3.2395)	Prec@1 28.906 (26.370)	Prec@5 54.297 (54.380)
Epoch: [41][6390/7045]	Time 0.455 (0.248)	Data 0.403 (0.184)	Loss 3.1943 (3.2396)	Prec@1 26.953 (26.368)	Prec@5 55.859 (54.380)
Epoch: [41][6400/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 3.0300 (3.2395)	Prec@1 30.469 (26.369)	Prec@5 55.469 (54.380)
Epoch: [41][6410/7045]	Time 0.353 (0.248)	Data 0.301 (0.184)	Loss 3.2769 (3.2395)	Prec@1 22.656 (26.368)	Prec@5 53.516 (54.379)
Epoch: [41][6420/7045]	Time 0.135 (0.248)	Data 0.084 (0.184)	Loss 3.0413 (3.2394)	Prec@1 28.516 (26.371)	Prec@5 58.594 (54.383)
Epoch: [41][6430/7045]	Time 0.289 (0.248)	Data 0.238 (0.184)	Loss 3.1712 (3.2394)	Prec@1 26.562 (26.371)	Prec@5 53.125 (54.380)
Epoch: [41][6440/7045]	Time 0.290 (0.248)	Data 0.240 (0.184)	Loss 3.1457 (3.2394)	Prec@1 30.078 (26.373)	Prec@5 57.031 (54.381)
Epoch: [41][6450/7045]	Time 0.102 (0.248)	Data 0.013 (0.184)	Loss 3.1786 (3.2395)	Prec@1 28.125 (26.372)	Prec@5 59.375 (54.379)
Epoch: [41][6460/7045]	Time 0.355 (0.248)	Data 0.303 (0.184)	Loss 3.1943 (3.2396)	Prec@1 30.469 (26.371)	Prec@5 55.469 (54.378)
Epoch: [41][6470/7045]	Time 0.101 (0.248)	Data 0.001 (0.184)	Loss 3.2706 (3.2395)	Prec@1 23.438 (26.370)	Prec@5 54.688 (54.380)
Epoch: [41][6480/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 3.2782 (3.2395)	Prec@1 26.562 (26.371)	Prec@5 50.391 (54.381)
Epoch: [41][6490/7045]	Time 0.264 (0.248)	Data 0.208 (0.184)	Loss 2.9413 (3.2395)	Prec@1 32.812 (26.372)	Prec@5 59.766 (54.380)
Epoch: [41][6500/7045]	Time 0.269 (0.248)	Data 0.218 (0.184)	Loss 3.1037 (3.2396)	Prec@1 27.344 (26.372)	Prec@5 55.469 (54.377)
Epoch: [41][6510/7045]	Time 0.187 (0.248)	Data 0.129 (0.184)	Loss 3.0407 (3.2396)	Prec@1 30.859 (26.373)	Prec@5 57.422 (54.377)
Epoch: [41][6520/7045]	Time 0.261 (0.248)	Data 0.209 (0.184)	Loss 3.4051 (3.2396)	Prec@1 22.266 (26.371)	Prec@5 51.172 (54.377)
Epoch: [41][6530/7045]	Time 0.252 (0.248)	Data 0.201 (0.184)	Loss 3.3278 (3.2396)	Prec@1 29.688 (26.371)	Prec@5 50.000 (54.377)
Epoch: [41][6540/7045]	Time 0.499 (0.248)	Data 0.442 (0.184)	Loss 3.3071 (3.2396)	Prec@1 25.781 (26.371)	Prec@5 53.125 (54.380)
Epoch: [41][6550/7045]	Time 0.103 (0.248)	Data 0.001 (0.184)	Loss 3.2638 (3.2395)	Prec@1 29.297 (26.372)	Prec@5 53.906 (54.381)
Epoch: [41][6560/7045]	Time 0.448 (0.248)	Data 0.397 (0.184)	Loss 3.3349 (3.2396)	Prec@1 27.344 (26.371)	Prec@5 53.125 (54.380)
Epoch: [41][6570/7045]	Time 0.102 (0.248)	Data 0.003 (0.184)	Loss 3.1822 (3.2396)	Prec@1 28.516 (26.369)	Prec@5 55.859 (54.380)
Epoch: [41][6580/7045]	Time 0.129 (0.248)	Data 0.077 (0.184)	Loss 3.3011 (3.2397)	Prec@1 23.828 (26.367)	Prec@5 51.953 (54.377)
Epoch: [41][6590/7045]	Time 0.109 (0.248)	Data 0.057 (0.184)	Loss 3.1217 (3.2397)	Prec@1 25.000 (26.367)	Prec@5 55.859 (54.376)
Epoch: [41][6600/7045]	Time 0.108 (0.248)	Data 0.055 (0.184)	Loss 2.9103 (3.2397)	Prec@1 32.422 (26.367)	Prec@5 61.719 (54.377)
Epoch: [41][6610/7045]	Time 0.102 (0.248)	Data 0.019 (0.184)	Loss 3.2784 (3.2396)	Prec@1 22.656 (26.368)	Prec@5 54.688 (54.379)
Epoch: [41][6620/7045]	Time 0.142 (0.248)	Data 0.089 (0.184)	Loss 3.2353 (3.2397)	Prec@1 20.312 (26.368)	Prec@5 54.688 (54.379)
Epoch: [41][6630/7045]	Time 0.102 (0.248)	Data 0.048 (0.184)	Loss 3.2096 (3.2397)	Prec@1 26.172 (26.367)	Prec@5 55.469 (54.379)
Epoch: [41][6640/7045]	Time 0.155 (0.248)	Data 0.103 (0.184)	Loss 3.2575 (3.2396)	Prec@1 24.609 (26.369)	Prec@5 51.953 (54.382)
Epoch: [41][6650/7045]	Time 0.112 (0.248)	Data 0.060 (0.184)	Loss 3.3117 (3.2396)	Prec@1 24.609 (26.369)	Prec@5 51.562 (54.383)
Epoch: [41][6660/7045]	Time 0.107 (0.248)	Data 0.055 (0.184)	Loss 3.2801 (3.2396)	Prec@1 26.172 (26.368)	Prec@5 53.125 (54.382)
Epoch: [41][6670/7045]	Time 0.173 (0.248)	Data 0.122 (0.184)	Loss 3.1280 (3.2395)	Prec@1 29.688 (26.369)	Prec@5 58.594 (54.385)
Epoch: [41][6680/7045]	Time 0.101 (0.248)	Data 0.009 (0.184)	Loss 3.2563 (3.2395)	Prec@1 26.172 (26.371)	Prec@5 53.906 (54.387)
Epoch: [41][6690/7045]	Time 0.345 (0.248)	Data 0.289 (0.184)	Loss 3.2407 (3.2396)	Prec@1 27.344 (26.370)	Prec@5 54.688 (54.385)
Epoch: [41][6700/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 2.9790 (3.2396)	Prec@1 30.469 (26.371)	Prec@5 62.500 (54.385)
Epoch: [41][6710/7045]	Time 0.192 (0.248)	Data 0.141 (0.184)	Loss 3.1873 (3.2396)	Prec@1 24.609 (26.370)	Prec@5 54.688 (54.384)
Epoch: [41][6720/7045]	Time 0.143 (0.248)	Data 0.092 (0.184)	Loss 3.1159 (3.2396)	Prec@1 24.609 (26.369)	Prec@5 57.812 (54.384)
Epoch: [41][6730/7045]	Time 0.245 (0.248)	Data 0.195 (0.184)	Loss 3.2480 (3.2397)	Prec@1 22.266 (26.370)	Prec@5 53.125 (54.381)
Epoch: [41][6740/7045]	Time 0.147 (0.248)	Data 0.097 (0.184)	Loss 3.3320 (3.2397)	Prec@1 25.000 (26.370)	Prec@5 54.688 (54.380)
Epoch: [41][6750/7045]	Time 0.204 (0.248)	Data 0.151 (0.184)	Loss 3.1840 (3.2396)	Prec@1 28.125 (26.373)	Prec@5 57.031 (54.381)
Epoch: [41][6760/7045]	Time 0.101 (0.248)	Data 0.007 (0.184)	Loss 3.2705 (3.2396)	Prec@1 24.609 (26.372)	Prec@5 54.297 (54.383)
Epoch: [41][6770/7045]	Time 0.153 (0.248)	Data 0.099 (0.184)	Loss 3.3668 (3.2397)	Prec@1 25.391 (26.370)	Prec@5 53.516 (54.381)
Epoch: [41][6780/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 3.5102 (3.2397)	Prec@1 26.172 (26.371)	Prec@5 48.438 (54.379)
Epoch: [41][6790/7045]	Time 0.113 (0.248)	Data 0.061 (0.184)	Loss 3.2337 (3.2397)	Prec@1 26.172 (26.372)	Prec@5 56.641 (54.380)
Epoch: [41][6800/7045]	Time 0.103 (0.248)	Data 0.001 (0.184)	Loss 3.3210 (3.2398)	Prec@1 25.000 (26.371)	Prec@5 53.516 (54.380)
Epoch: [41][6810/7045]	Time 0.103 (0.248)	Data 0.009 (0.184)	Loss 3.1899 (3.2398)	Prec@1 26.172 (26.372)	Prec@5 58.594 (54.381)
Epoch: [41][6820/7045]	Time 0.102 (0.248)	Data 0.007 (0.184)	Loss 3.1196 (3.2399)	Prec@1 27.344 (26.370)	Prec@5 59.375 (54.378)
Epoch: [41][6830/7045]	Time 0.106 (0.248)	Data 0.052 (0.184)	Loss 3.4454 (3.2399)	Prec@1 24.609 (26.369)	Prec@5 46.094 (54.378)
Epoch: [41][6840/7045]	Time 0.204 (0.248)	Data 0.154 (0.184)	Loss 3.1813 (3.2399)	Prec@1 26.562 (26.371)	Prec@5 55.078 (54.380)
Epoch: [41][6850/7045]	Time 0.209 (0.248)	Data 0.159 (0.184)	Loss 3.2895 (3.2399)	Prec@1 28.516 (26.371)	Prec@5 50.781 (54.380)
Epoch: [41][6860/7045]	Time 0.585 (0.248)	Data 0.534 (0.184)	Loss 3.2796 (3.2399)	Prec@1 21.875 (26.370)	Prec@5 55.859 (54.380)
Epoch: [41][6870/7045]	Time 0.137 (0.248)	Data 0.085 (0.184)	Loss 3.1156 (3.2399)	Prec@1 28.125 (26.372)	Prec@5 59.375 (54.380)
Epoch: [41][6880/7045]	Time 0.365 (0.248)	Data 0.314 (0.184)	Loss 3.1622 (3.2398)	Prec@1 24.219 (26.374)	Prec@5 57.812 (54.380)
Epoch: [41][6890/7045]	Time 0.352 (0.248)	Data 0.301 (0.184)	Loss 3.3968 (3.2398)	Prec@1 21.875 (26.374)	Prec@5 49.219 (54.380)
Epoch: [41][6900/7045]	Time 0.164 (0.248)	Data 0.113 (0.184)	Loss 3.3107 (3.2397)	Prec@1 24.609 (26.374)	Prec@5 52.734 (54.380)
Epoch: [41][6910/7045]	Time 0.344 (0.248)	Data 0.292 (0.184)	Loss 3.0289 (3.2396)	Prec@1 31.641 (26.377)	Prec@5 57.031 (54.383)
Epoch: [41][6920/7045]	Time 0.422 (0.248)	Data 0.371 (0.184)	Loss 3.1479 (3.2396)	Prec@1 28.516 (26.377)	Prec@5 53.516 (54.382)
Epoch: [41][6930/7045]	Time 0.113 (0.248)	Data 0.061 (0.184)	Loss 3.1921 (3.2396)	Prec@1 25.391 (26.378)	Prec@5 54.688 (54.380)
Epoch: [41][6940/7045]	Time 0.494 (0.248)	Data 0.443 (0.184)	Loss 3.2532 (3.2396)	Prec@1 23.828 (26.379)	Prec@5 56.250 (54.380)
Epoch: [41][6950/7045]	Time 0.115 (0.248)	Data 0.059 (0.184)	Loss 2.9791 (3.2394)	Prec@1 33.203 (26.382)	Prec@5 57.812 (54.381)
Epoch: [41][6960/7045]	Time 0.361 (0.248)	Data 0.309 (0.184)	Loss 3.1830 (3.2394)	Prec@1 28.906 (26.383)	Prec@5 53.906 (54.380)
Epoch: [41][6970/7045]	Time 0.176 (0.248)	Data 0.125 (0.184)	Loss 3.4288 (3.2394)	Prec@1 21.875 (26.384)	Prec@5 50.000 (54.382)
Epoch: [41][6980/7045]	Time 0.260 (0.248)	Data 0.207 (0.184)	Loss 3.2536 (3.2394)	Prec@1 28.906 (26.382)	Prec@5 55.859 (54.382)
Epoch: [41][6990/7045]	Time 0.112 (0.248)	Data 0.001 (0.184)	Loss 3.2228 (3.2393)	Prec@1 21.484 (26.384)	Prec@5 56.250 (54.385)
Epoch: [41][7000/7045]	Time 0.103 (0.248)	Data 0.001 (0.184)	Loss 3.3222 (3.2393)	Prec@1 24.219 (26.383)	Prec@5 49.609 (54.385)
Epoch: [41][7010/7045]	Time 0.109 (0.248)	Data 0.008 (0.184)	Loss 3.1194 (3.2392)	Prec@1 25.391 (26.384)	Prec@5 54.297 (54.386)
Epoch: [41][7020/7045]	Time 0.103 (0.248)	Data 0.050 (0.184)	Loss 3.2572 (3.2392)	Prec@1 25.781 (26.385)	Prec@5 55.859 (54.388)
Epoch: [41][7030/7045]	Time 0.108 (0.248)	Data 0.049 (0.184)	Loss 3.2885 (3.2392)	Prec@1 27.734 (26.385)	Prec@5 53.516 (54.387)
Epoch: [41][7040/7045]	Time 0.099 (0.248)	Data 0.046 (0.184)	Loss 3.2886 (3.2392)	Prec@1 24.609 (26.382)	Prec@5 53.906 (54.386)
Test: [0/143]	Time 1.551 (1.551)	Loss 2.5794 (2.5794)	Prec@1 41.406 (41.406)	Prec@5 71.875 (71.875)
Test: [10/143]	Time 0.192 (0.298)	Loss 2.4539 (2.4997)	Prec@1 43.359 (39.808)	Prec@5 72.266 (70.845)
Test: [20/143]	Time 0.491 (0.257)	Loss 2.9426 (2.5628)	Prec@1 28.906 (37.165)	Prec@5 62.109 (69.606)
Test: [30/143]	Time 0.262 (0.240)	Loss 3.0300 (2.5849)	Prec@1 35.156 (37.487)	Prec@5 55.469 (68.737)
Test: [40/143]	Time 0.120 (0.225)	Loss 3.3675 (2.6230)	Prec@1 12.500 (36.643)	Prec@5 53.906 (67.921)
Test: [50/143]	Time 0.148 (0.216)	Loss 2.5527 (2.6833)	Prec@1 32.812 (34.781)	Prec@5 74.609 (66.919)
Test: [60/143]	Time 0.527 (0.216)	Loss 3.0392 (2.6711)	Prec@1 21.094 (35.047)	Prec@5 60.547 (67.079)
Test: [70/143]	Time 0.049 (0.209)	Loss 3.6585 (2.6693)	Prec@1 16.797 (35.349)	Prec@5 42.578 (66.951)
Test: [80/143]	Time 0.272 (0.206)	Loss 2.8046 (2.6567)	Prec@1 33.594 (35.634)	Prec@5 63.281 (67.221)
Test: [90/143]	Time 0.067 (0.203)	Loss 2.4641 (2.6552)	Prec@1 35.156 (35.470)	Prec@5 73.047 (67.299)
Test: [100/143]	Time 0.151 (0.200)	Loss 2.7309 (2.6569)	Prec@1 30.078 (35.315)	Prec@5 67.578 (67.191)
Test: [110/143]	Time 0.254 (0.200)	Loss 2.4606 (2.6512)	Prec@1 44.531 (35.652)	Prec@5 66.797 (67.251)
Test: [120/143]	Time 0.231 (0.199)	Loss 2.2698 (2.6385)	Prec@1 43.750 (35.883)	Prec@5 76.172 (67.517)
Test: [130/143]	Time 0.119 (0.197)	Loss 2.2136 (2.6440)	Prec@1 53.906 (35.848)	Prec@5 70.312 (67.241)
Test: [140/143]	Time 0.194 (0.196)	Loss 3.6465 (2.6690)	Prec@1 15.234 (35.370)	Prec@5 44.922 (66.728)
 * Prec@1 35.427 Prec@5 66.775
Epoch: [42][0/7045]	Time 2.474 (2.474)	Data 2.409 (2.409)	Loss 2.9446 (2.9446)	Prec@1 30.859 (30.859)	Prec@5 58.203 (58.203)
Epoch: [42][10/7045]	Time 0.102 (0.420)	Data 0.001 (0.331)	Loss 3.1393 (3.1746)	Prec@1 26.172 (27.699)	Prec@5 57.031 (56.037)
Epoch: [42][20/7045]	Time 0.125 (0.357)	Data 0.075 (0.279)	Loss 3.2430 (3.1534)	Prec@1 28.125 (27.753)	Prec@5 51.953 (55.673)
Epoch: [42][30/7045]	Time 0.099 (0.325)	Data 0.001 (0.247)	Loss 3.3859 (3.1834)	Prec@1 25.391 (27.445)	Prec@5 53.125 (55.179)
Epoch: [42][40/7045]	Time 0.125 (0.309)	Data 0.072 (0.235)	Loss 3.1459 (3.1830)	Prec@1 30.469 (27.534)	Prec@5 57.422 (55.383)
Epoch: [42][50/7045]	Time 0.184 (0.297)	Data 0.132 (0.224)	Loss 3.2921 (3.1887)	Prec@1 24.609 (27.528)	Prec@5 55.078 (55.354)
Epoch: [42][60/7045]	Time 0.115 (0.294)	Data 0.062 (0.222)	Loss 3.0705 (3.1925)	Prec@1 28.906 (27.235)	Prec@5 55.859 (55.219)
Epoch: [42][70/7045]	Time 0.614 (0.293)	Data 0.555 (0.223)	Loss 3.3203 (3.2006)	Prec@1 26.172 (27.151)	Prec@5 53.516 (55.045)
Epoch: [42][80/7045]	Time 0.101 (0.289)	Data 0.001 (0.219)	Loss 3.1848 (3.1993)	Prec@1 28.125 (27.112)	Prec@5 54.297 (55.136)
Epoch: [42][90/7045]	Time 0.663 (0.288)	Data 0.611 (0.218)	Loss 3.1803 (3.2018)	Prec@1 27.734 (26.996)	Prec@5 54.688 (55.074)
Epoch: [42][100/7045]	Time 0.109 (0.283)	Data 0.001 (0.213)	Loss 2.9910 (3.2013)	Prec@1 27.734 (27.088)	Prec@5 62.891 (55.148)
Epoch: [42][110/7045]	Time 0.547 (0.283)	Data 0.491 (0.214)	Loss 3.2000 (3.2040)	Prec@1 26.562 (27.045)	Prec@5 56.250 (55.053)
Epoch: [42][120/7045]	Time 0.102 (0.279)	Data 0.001 (0.211)	Loss 3.3665 (3.2038)	Prec@1 23.047 (26.953)	Prec@5 52.734 (55.043)
Epoch: [42][130/7045]	Time 0.356 (0.281)	Data 0.304 (0.212)	Loss 3.3234 (3.2065)	Prec@1 24.219 (26.873)	Prec@5 56.641 (55.030)
Epoch: [42][140/7045]	Time 0.250 (0.278)	Data 0.197 (0.210)	Loss 3.1055 (3.2011)	Prec@1 33.594 (26.848)	Prec@5 55.469 (55.098)
Epoch: [42][150/7045]	Time 0.251 (0.276)	Data 0.199 (0.208)	Loss 3.3461 (3.2017)	Prec@1 22.656 (26.907)	Prec@5 51.953 (55.112)
Epoch: [42][160/7045]	Time 0.175 (0.275)	Data 0.123 (0.208)	Loss 3.4048 (3.2056)	Prec@1 21.094 (26.883)	Prec@5 49.219 (55.027)
Epoch: [42][170/7045]	Time 0.275 (0.273)	Data 0.222 (0.208)	Loss 3.2303 (3.2074)	Prec@1 24.609 (26.782)	Prec@5 55.859 (55.067)
Epoch: [42][180/7045]	Time 0.109 (0.273)	Data 0.001 (0.207)	Loss 3.2461 (3.2076)	Prec@1 27.734 (26.852)	Prec@5 54.297 (55.076)
Epoch: [42][190/7045]	Time 0.444 (0.272)	Data 0.393 (0.206)	Loss 3.0707 (3.2067)	Prec@1 30.469 (26.886)	Prec@5 58.203 (55.074)
Epoch: [42][200/7045]	Time 0.197 (0.271)	Data 0.145 (0.205)	Loss 3.0131 (3.2045)	Prec@1 32.031 (26.928)	Prec@5 56.641 (55.088)
Epoch: [42][210/7045]	Time 0.102 (0.270)	Data 0.008 (0.205)	Loss 3.0793 (3.2007)	Prec@1 30.469 (26.973)	Prec@5 57.422 (55.202)
Epoch: [42][220/7045]	Time 0.367 (0.269)	Data 0.315 (0.205)	Loss 3.1428 (3.2002)	Prec@1 29.297 (27.027)	Prec@5 53.906 (55.221)
Epoch: [42][230/7045]	Time 0.107 (0.269)	Data 0.001 (0.204)	Loss 3.2448 (3.1961)	Prec@1 23.438 (27.078)	Prec@5 54.297 (55.269)
Epoch: [42][240/7045]	Time 0.101 (0.268)	Data 0.001 (0.203)	Loss 3.0990 (3.1967)	Prec@1 29.688 (27.094)	Prec@5 53.906 (55.240)
Epoch: [42][250/7045]	Time 0.101 (0.267)	Data 0.001 (0.202)	Loss 3.1112 (3.1978)	Prec@1 26.172 (27.096)	Prec@5 56.250 (55.240)
Epoch: [42][260/7045]	Time 0.140 (0.267)	Data 0.082 (0.202)	Loss 3.3979 (3.1974)	Prec@1 23.828 (27.104)	Prec@5 54.297 (55.244)
Epoch: [42][270/7045]	Time 0.110 (0.266)	Data 0.058 (0.200)	Loss 3.1199 (3.1984)	Prec@1 28.516 (27.055)	Prec@5 55.469 (55.211)
Epoch: [42][280/7045]	Time 0.100 (0.266)	Data 0.001 (0.200)	Loss 3.4250 (3.2008)	Prec@1 21.484 (27.016)	Prec@5 48.047 (55.160)
Epoch: [42][290/7045]	Time 0.687 (0.266)	Data 0.626 (0.201)	Loss 3.2792 (3.2013)	Prec@1 27.344 (27.024)	Prec@5 53.906 (55.183)
Epoch: [42][300/7045]	Time 0.098 (0.265)	Data 0.001 (0.200)	Loss 3.2322 (3.2043)	Prec@1 27.734 (26.983)	Prec@5 55.078 (55.135)
Epoch: [42][310/7045]	Time 0.282 (0.265)	Data 0.231 (0.199)	Loss 3.3297 (3.2040)	Prec@1 27.344 (26.995)	Prec@5 53.125 (55.126)
Epoch: [42][320/7045]	Time 0.156 (0.264)	Data 0.104 (0.199)	Loss 3.2703 (3.2049)	Prec@1 26.953 (26.982)	Prec@5 52.344 (55.085)
Epoch: [42][330/7045]	Time 0.101 (0.264)	Data 0.001 (0.199)	Loss 3.3316 (3.2045)	Prec@1 21.875 (26.974)	Prec@5 52.344 (55.111)
Epoch: [42][340/7045]	Time 0.383 (0.264)	Data 0.332 (0.199)	Loss 3.2391 (3.2066)	Prec@1 23.828 (26.928)	Prec@5 56.641 (55.094)
Epoch: [42][350/7045]	Time 0.390 (0.264)	Data 0.332 (0.200)	Loss 3.2513 (3.2061)	Prec@1 27.734 (26.924)	Prec@5 51.953 (55.128)
Epoch: [42][360/7045]	Time 0.482 (0.264)	Data 0.424 (0.199)	Loss 3.2361 (3.2073)	Prec@1 25.391 (26.864)	Prec@5 54.297 (55.110)
Epoch: [42][370/7045]	Time 0.099 (0.264)	Data 0.001 (0.199)	Loss 3.1927 (3.2053)	Prec@1 26.562 (26.893)	Prec@5 53.906 (55.163)
Epoch: [42][380/7045]	Time 0.176 (0.263)	Data 0.125 (0.198)	Loss 3.0238 (3.2054)	Prec@1 32.422 (26.918)	Prec@5 56.250 (55.145)
Epoch: [42][390/7045]	Time 0.294 (0.264)	Data 0.242 (0.199)	Loss 2.9000 (3.2042)	Prec@1 32.422 (26.931)	Prec@5 60.156 (55.164)
Epoch: [42][400/7045]	Time 0.102 (0.263)	Data 0.003 (0.198)	Loss 3.2381 (3.2046)	Prec@1 24.219 (26.894)	Prec@5 53.906 (55.172)
Epoch: [42][410/7045]	Time 0.416 (0.263)	Data 0.365 (0.198)	Loss 3.2785 (3.2037)	Prec@1 26.172 (26.943)	Prec@5 57.031 (55.213)
Epoch: [42][420/7045]	Time 0.216 (0.262)	Data 0.166 (0.198)	Loss 3.1992 (3.2054)	Prec@1 27.734 (26.918)	Prec@5 54.297 (55.167)
Epoch: [42][430/7045]	Time 0.324 (0.263)	Data 0.273 (0.198)	Loss 3.1699 (3.2060)	Prec@1 26.562 (26.934)	Prec@5 53.516 (55.145)
Epoch: [42][440/7045]	Time 0.434 (0.262)	Data 0.383 (0.198)	Loss 3.1854 (3.2085)	Prec@1 29.297 (26.906)	Prec@5 53.906 (55.096)
Epoch: [42][450/7045]	Time 0.102 (0.262)	Data 0.001 (0.198)	Loss 3.3224 (3.2082)	Prec@1 23.438 (26.912)	Prec@5 53.516 (55.110)
Epoch: [42][460/7045]	Time 0.207 (0.262)	Data 0.154 (0.198)	Loss 3.4558 (3.2086)	Prec@1 25.391 (26.908)	Prec@5 51.172 (55.104)
Epoch: [42][470/7045]	Time 0.545 (0.262)	Data 0.492 (0.198)	Loss 2.9017 (3.2082)	Prec@1 30.078 (26.898)	Prec@5 57.031 (55.080)
Epoch: [42][480/7045]	Time 0.108 (0.262)	Data 0.001 (0.198)	Loss 3.1431 (3.2081)	Prec@1 30.859 (26.897)	Prec@5 58.203 (55.101)
Epoch: [42][490/7045]	Time 0.390 (0.262)	Data 0.339 (0.198)	Loss 2.9041 (3.2075)	Prec@1 28.516 (26.904)	Prec@5 60.938 (55.118)
Epoch: [42][500/7045]	Time 0.167 (0.262)	Data 0.114 (0.198)	Loss 3.0826 (3.2074)	Prec@1 29.688 (26.899)	Prec@5 58.594 (55.110)
Epoch: [42][510/7045]	Time 0.597 (0.262)	Data 0.546 (0.198)	Loss 3.0212 (3.2074)	Prec@1 30.859 (26.897)	Prec@5 60.156 (55.097)
Epoch: [42][520/7045]	Time 0.159 (0.261)	Data 0.109 (0.197)	Loss 3.2014 (3.2078)	Prec@1 26.953 (26.880)	Prec@5 55.859 (55.073)
Epoch: [42][530/7045]	Time 0.405 (0.261)	Data 0.354 (0.198)	Loss 3.2467 (3.2080)	Prec@1 28.516 (26.867)	Prec@5 51.953 (55.047)
Epoch: [42][540/7045]	Time 0.101 (0.261)	Data 0.001 (0.197)	Loss 3.1326 (3.2084)	Prec@1 26.953 (26.850)	Prec@5 55.859 (55.040)
Epoch: [42][550/7045]	Time 0.296 (0.261)	Data 0.244 (0.197)	Loss 3.3123 (3.2083)	Prec@1 25.781 (26.856)	Prec@5 53.906 (55.053)
Epoch: [42][560/7045]	Time 0.503 (0.261)	Data 0.447 (0.198)	Loss 3.4171 (3.2084)	Prec@1 21.484 (26.860)	Prec@5 51.172 (55.060)
Epoch: [42][570/7045]	Time 0.111 (0.261)	Data 0.060 (0.197)	Loss 3.2072 (3.2075)	Prec@1 28.516 (26.873)	Prec@5 56.250 (55.081)
Epoch: [42][580/7045]	Time 0.409 (0.261)	Data 0.357 (0.197)	Loss 3.0889 (3.2065)	Prec@1 32.422 (26.906)	Prec@5 57.812 (55.114)
Epoch: [42][590/7045]	Time 0.208 (0.261)	Data 0.156 (0.198)	Loss 3.2189 (3.2057)	Prec@1 25.391 (26.927)	Prec@5 55.469 (55.120)
Epoch: [42][600/7045]	Time 0.110 (0.261)	Data 0.058 (0.198)	Loss 3.1403 (3.2049)	Prec@1 25.391 (26.939)	Prec@5 57.812 (55.142)
Epoch: [42][610/7045]	Time 0.352 (0.261)	Data 0.300 (0.198)	Loss 3.0639 (3.2055)	Prec@1 25.781 (26.919)	Prec@5 55.078 (55.118)
Epoch: [42][620/7045]	Time 0.166 (0.261)	Data 0.110 (0.198)	Loss 3.1502 (3.2055)	Prec@1 25.000 (26.902)	Prec@5 52.344 (55.105)
Epoch: [42][630/7045]	Time 0.663 (0.261)	Data 0.603 (0.198)	Loss 3.4577 (3.2064)	Prec@1 26.172 (26.900)	Prec@5 49.609 (55.063)
Epoch: [42][640/7045]	Time 0.101 (0.260)	Data 0.045 (0.197)	Loss 3.0025 (3.2055)	Prec@1 28.906 (26.917)	Prec@5 59.766 (55.089)
Epoch: [42][650/7045]	Time 0.237 (0.260)	Data 0.185 (0.197)	Loss 3.3835 (3.2052)	Prec@1 24.609 (26.904)	Prec@5 52.734 (55.098)
Epoch: [42][660/7045]	Time 0.287 (0.261)	Data 0.235 (0.197)	Loss 3.1928 (3.2048)	Prec@1 26.562 (26.925)	Prec@5 57.031 (55.106)
Epoch: [42][670/7045]	Time 0.153 (0.260)	Data 0.101 (0.197)	Loss 3.1081 (3.2055)	Prec@1 28.516 (26.925)	Prec@5 57.812 (55.092)
Epoch: [42][680/7045]	Time 0.101 (0.260)	Data 0.004 (0.197)	Loss 3.1190 (3.2049)	Prec@1 28.906 (26.947)	Prec@5 55.078 (55.105)
Epoch: [42][690/7045]	Time 0.398 (0.261)	Data 0.346 (0.198)	Loss 3.1787 (3.2048)	Prec@1 21.094 (26.920)	Prec@5 54.688 (55.113)
Epoch: [42][700/7045]	Time 0.102 (0.260)	Data 0.006 (0.197)	Loss 3.3400 (3.2063)	Prec@1 23.438 (26.891)	Prec@5 53.125 (55.080)
Epoch: [42][710/7045]	Time 0.498 (0.260)	Data 0.439 (0.197)	Loss 3.2228 (3.2061)	Prec@1 26.562 (26.888)	Prec@5 58.203 (55.086)
Epoch: [42][720/7045]	Time 0.323 (0.260)	Data 0.270 (0.197)	Loss 3.1464 (3.2070)	Prec@1 28.906 (26.880)	Prec@5 57.812 (55.072)
Epoch: [42][730/7045]	Time 0.175 (0.260)	Data 0.116 (0.197)	Loss 2.8767 (3.2065)	Prec@1 30.078 (26.880)	Prec@5 60.547 (55.072)
Epoch: [42][740/7045]	Time 0.640 (0.260)	Data 0.588 (0.197)	Loss 3.0561 (3.2054)	Prec@1 30.859 (26.901)	Prec@5 58.203 (55.098)
Epoch: [42][750/7045]	Time 0.130 (0.260)	Data 0.078 (0.197)	Loss 3.0523 (3.2058)	Prec@1 27.344 (26.894)	Prec@5 59.375 (55.090)
Epoch: [42][760/7045]	Time 0.669 (0.260)	Data 0.617 (0.197)	Loss 3.2019 (3.2064)	Prec@1 26.172 (26.885)	Prec@5 53.906 (55.078)
Epoch: [42][770/7045]	Time 0.101 (0.260)	Data 0.001 (0.196)	Loss 3.2340 (3.2063)	Prec@1 27.734 (26.888)	Prec@5 55.078 (55.075)
Epoch: [42][780/7045]	Time 0.578 (0.260)	Data 0.519 (0.196)	Loss 3.2337 (3.2061)	Prec@1 26.953 (26.899)	Prec@5 51.953 (55.075)
Epoch: [42][790/7045]	Time 0.106 (0.259)	Data 0.054 (0.196)	Loss 3.0432 (3.2064)	Prec@1 29.297 (26.896)	Prec@5 57.812 (55.068)
Epoch: [42][800/7045]	Time 0.388 (0.260)	Data 0.336 (0.196)	Loss 3.2628 (3.2070)	Prec@1 27.734 (26.888)	Prec@5 55.469 (55.061)
Epoch: [42][810/7045]	Time 0.111 (0.259)	Data 0.059 (0.195)	Loss 3.1686 (3.2066)	Prec@1 31.641 (26.911)	Prec@5 55.469 (55.068)
Epoch: [42][820/7045]	Time 0.113 (0.259)	Data 0.054 (0.196)	Loss 3.1420 (3.2058)	Prec@1 26.172 (26.913)	Prec@5 56.641 (55.090)
Epoch: [42][830/7045]	Time 0.379 (0.259)	Data 0.327 (0.196)	Loss 3.1701 (3.2055)	Prec@1 26.172 (26.919)	Prec@5 53.906 (55.084)
Epoch: [42][840/7045]	Time 0.110 (0.259)	Data 0.058 (0.196)	Loss 3.1006 (3.2051)	Prec@1 30.469 (26.943)	Prec@5 58.594 (55.090)
Epoch: [42][850/7045]	Time 0.687 (0.259)	Data 0.637 (0.196)	Loss 3.2872 (3.2055)	Prec@1 23.438 (26.940)	Prec@5 55.859 (55.085)
Epoch: [42][860/7045]	Time 0.179 (0.259)	Data 0.128 (0.196)	Loss 3.3690 (3.2053)	Prec@1 26.562 (26.950)	Prec@5 50.391 (55.094)
Epoch: [42][870/7045]	Time 0.392 (0.259)	Data 0.339 (0.196)	Loss 2.9738 (3.2051)	Prec@1 30.859 (26.945)	Prec@5 58.203 (55.101)
Epoch: [42][880/7045]	Time 0.101 (0.259)	Data 0.001 (0.195)	Loss 3.2135 (3.2050)	Prec@1 26.172 (26.941)	Prec@5 52.344 (55.095)
Epoch: [42][890/7045]	Time 0.101 (0.259)	Data 0.001 (0.196)	Loss 3.1898 (3.2048)	Prec@1 30.469 (26.947)	Prec@5 56.641 (55.097)
Epoch: [42][900/7045]	Time 0.101 (0.259)	Data 0.001 (0.195)	Loss 3.2513 (3.2051)	Prec@1 27.344 (26.941)	Prec@5 54.688 (55.098)
Epoch: [42][910/7045]	Time 0.326 (0.259)	Data 0.273 (0.195)	Loss 3.4710 (3.2048)	Prec@1 21.484 (26.930)	Prec@5 48.828 (55.093)
Epoch: [42][920/7045]	Time 0.112 (0.259)	Data 0.061 (0.195)	Loss 3.0525 (3.2048)	Prec@1 30.859 (26.925)	Prec@5 57.812 (55.106)
Epoch: [42][930/7045]	Time 0.224 (0.259)	Data 0.173 (0.195)	Loss 3.5333 (3.2047)	Prec@1 23.047 (26.918)	Prec@5 52.344 (55.113)
Epoch: [42][940/7045]	Time 0.102 (0.259)	Data 0.001 (0.195)	Loss 3.3537 (3.2043)	Prec@1 26.172 (26.922)	Prec@5 51.953 (55.121)
Epoch: [42][950/7045]	Time 0.231 (0.259)	Data 0.179 (0.195)	Loss 3.3484 (3.2045)	Prec@1 23.828 (26.919)	Prec@5 51.172 (55.115)
Epoch: [42][960/7045]	Time 0.284 (0.259)	Data 0.232 (0.195)	Loss 3.1250 (3.2046)	Prec@1 27.344 (26.932)	Prec@5 56.250 (55.114)
Epoch: [42][970/7045]	Time 0.251 (0.259)	Data 0.200 (0.195)	Loss 3.1239 (3.2047)	Prec@1 27.344 (26.918)	Prec@5 55.469 (55.103)
Epoch: [42][980/7045]	Time 0.394 (0.259)	Data 0.342 (0.195)	Loss 3.2757 (3.2044)	Prec@1 26.172 (26.922)	Prec@5 52.344 (55.107)
Epoch: [42][990/7045]	Time 0.110 (0.259)	Data 0.058 (0.195)	Loss 3.2226 (3.2045)	Prec@1 26.953 (26.908)	Prec@5 57.031 (55.104)
Epoch: [42][1000/7045]	Time 0.355 (0.259)	Data 0.303 (0.195)	Loss 3.2267 (3.2045)	Prec@1 30.469 (26.917)	Prec@5 55.469 (55.109)
Epoch: [42][1010/7045]	Time 0.286 (0.259)	Data 0.233 (0.196)	Loss 3.2876 (3.2045)	Prec@1 22.266 (26.913)	Prec@5 51.172 (55.108)
Epoch: [42][1020/7045]	Time 0.102 (0.259)	Data 0.001 (0.195)	Loss 3.2959 (3.2049)	Prec@1 26.562 (26.903)	Prec@5 54.688 (55.104)
Epoch: [42][1030/7045]	Time 0.204 (0.258)	Data 0.152 (0.195)	Loss 3.2666 (3.2057)	Prec@1 24.609 (26.894)	Prec@5 51.562 (55.086)
Epoch: [42][1040/7045]	Time 0.131 (0.258)	Data 0.078 (0.195)	Loss 3.3034 (3.2065)	Prec@1 24.219 (26.881)	Prec@5 51.953 (55.077)
Epoch: [42][1050/7045]	Time 0.102 (0.259)	Data 0.001 (0.196)	Loss 2.8563 (3.2061)	Prec@1 30.859 (26.885)	Prec@5 62.891 (55.086)
Epoch: [42][1060/7045]	Time 0.102 (0.258)	Data 0.001 (0.195)	Loss 3.2212 (3.2059)	Prec@1 26.172 (26.885)	Prec@5 54.688 (55.089)
Epoch: [42][1070/7045]	Time 0.547 (0.259)	Data 0.495 (0.196)	Loss 3.2792 (3.2053)	Prec@1 23.828 (26.891)	Prec@5 51.172 (55.091)
Epoch: [42][1080/7045]	Time 0.101 (0.258)	Data 0.001 (0.195)	Loss 3.2189 (3.2054)	Prec@1 30.078 (26.899)	Prec@5 53.125 (55.083)
Epoch: [42][1090/7045]	Time 0.587 (0.259)	Data 0.534 (0.195)	Loss 2.9873 (3.2049)	Prec@1 30.078 (26.921)	Prec@5 61.328 (55.095)
Epoch: [42][1100/7045]	Time 0.112 (0.258)	Data 0.061 (0.195)	Loss 2.9899 (3.2046)	Prec@1 30.078 (26.931)	Prec@5 60.156 (55.101)
Epoch: [42][1110/7045]	Time 0.391 (0.258)	Data 0.341 (0.195)	Loss 3.0266 (3.2045)	Prec@1 31.641 (26.938)	Prec@5 55.859 (55.106)
Epoch: [42][1120/7045]	Time 0.411 (0.258)	Data 0.359 (0.195)	Loss 2.9386 (3.2040)	Prec@1 30.078 (26.944)	Prec@5 54.688 (55.115)
Epoch: [42][1130/7045]	Time 0.322 (0.258)	Data 0.271 (0.195)	Loss 3.0404 (3.2040)	Prec@1 27.734 (26.949)	Prec@5 57.812 (55.116)
Epoch: [42][1140/7045]	Time 0.460 (0.258)	Data 0.407 (0.195)	Loss 3.3527 (3.2043)	Prec@1 27.344 (26.942)	Prec@5 53.906 (55.105)
Epoch: [42][1150/7045]	Time 0.357 (0.258)	Data 0.306 (0.195)	Loss 3.3234 (3.2049)	Prec@1 25.391 (26.942)	Prec@5 53.516 (55.089)
Epoch: [42][1160/7045]	Time 0.535 (0.258)	Data 0.483 (0.195)	Loss 3.2857 (3.2050)	Prec@1 25.000 (26.946)	Prec@5 51.562 (55.085)
Epoch: [42][1170/7045]	Time 0.101 (0.258)	Data 0.005 (0.195)	Loss 3.1712 (3.2040)	Prec@1 24.609 (26.963)	Prec@5 55.469 (55.101)
Epoch: [42][1180/7045]	Time 0.430 (0.258)	Data 0.378 (0.195)	Loss 3.2640 (3.2045)	Prec@1 28.125 (26.947)	Prec@5 50.391 (55.082)
Epoch: [42][1190/7045]	Time 0.102 (0.258)	Data 0.001 (0.195)	Loss 3.2420 (3.2042)	Prec@1 26.172 (26.944)	Prec@5 55.078 (55.086)
Epoch: [42][1200/7045]	Time 0.197 (0.258)	Data 0.137 (0.195)	Loss 3.0729 (3.2041)	Prec@1 32.031 (26.945)	Prec@5 58.594 (55.089)
Epoch: [42][1210/7045]	Time 0.103 (0.258)	Data 0.001 (0.195)	Loss 3.0458 (3.2044)	Prec@1 26.172 (26.933)	Prec@5 60.156 (55.085)
Epoch: [42][1220/7045]	Time 0.153 (0.258)	Data 0.100 (0.195)	Loss 3.1592 (3.2046)	Prec@1 28.906 (26.931)	Prec@5 54.688 (55.087)
Epoch: [42][1230/7045]	Time 0.103 (0.258)	Data 0.001 (0.195)	Loss 3.2586 (3.2042)	Prec@1 29.688 (26.946)	Prec@5 53.125 (55.098)
Epoch: [42][1240/7045]	Time 0.378 (0.258)	Data 0.320 (0.195)	Loss 3.2963 (3.2044)	Prec@1 28.906 (26.948)	Prec@5 53.125 (55.094)
Epoch: [42][1250/7045]	Time 0.251 (0.258)	Data 0.199 (0.195)	Loss 3.3533 (3.2039)	Prec@1 23.047 (26.947)	Prec@5 51.953 (55.099)
Epoch: [42][1260/7045]	Time 0.420 (0.258)	Data 0.368 (0.195)	Loss 3.1122 (3.2040)	Prec@1 25.000 (26.935)	Prec@5 57.031 (55.096)
Epoch: [42][1270/7045]	Time 0.431 (0.258)	Data 0.373 (0.195)	Loss 3.1775 (3.2041)	Prec@1 26.562 (26.934)	Prec@5 55.469 (55.093)
Epoch: [42][1280/7045]	Time 0.110 (0.258)	Data 0.058 (0.195)	Loss 3.4733 (3.2044)	Prec@1 24.609 (26.932)	Prec@5 48.047 (55.085)
Epoch: [42][1290/7045]	Time 0.469 (0.258)	Data 0.411 (0.195)	Loss 3.1020 (3.2041)	Prec@1 32.031 (26.940)	Prec@5 56.641 (55.086)
Epoch: [42][1300/7045]	Time 0.353 (0.258)	Data 0.301 (0.195)	Loss 3.0722 (3.2049)	Prec@1 31.641 (26.932)	Prec@5 56.641 (55.061)
Epoch: [42][1310/7045]	Time 0.335 (0.258)	Data 0.283 (0.195)	Loss 3.4871 (3.2049)	Prec@1 23.047 (26.930)	Prec@5 49.219 (55.056)
Epoch: [42][1320/7045]	Time 0.213 (0.258)	Data 0.156 (0.195)	Loss 3.4670 (3.2062)	Prec@1 19.922 (26.912)	Prec@5 48.047 (55.037)
Epoch: [42][1330/7045]	Time 0.100 (0.258)	Data 0.046 (0.195)	Loss 3.1535 (3.2065)	Prec@1 27.344 (26.907)	Prec@5 55.078 (55.028)
Epoch: [42][1340/7045]	Time 0.292 (0.258)	Data 0.239 (0.195)	Loss 3.0386 (3.2059)	Prec@1 32.812 (26.917)	Prec@5 58.594 (55.037)
Epoch: [42][1350/7045]	Time 0.371 (0.258)	Data 0.321 (0.195)	Loss 3.1516 (3.2061)	Prec@1 28.906 (26.915)	Prec@5 57.031 (55.037)
Epoch: [42][1360/7045]	Time 0.296 (0.258)	Data 0.238 (0.195)	Loss 3.0760 (3.2060)	Prec@1 30.859 (26.922)	Prec@5 57.812 (55.043)
Epoch: [42][1370/7045]	Time 0.492 (0.258)	Data 0.441 (0.195)	Loss 3.2726 (3.2059)	Prec@1 25.781 (26.931)	Prec@5 55.078 (55.049)
Epoch: [42][1380/7045]	Time 0.280 (0.258)	Data 0.229 (0.195)	Loss 3.2938 (3.2060)	Prec@1 23.047 (26.930)	Prec@5 52.734 (55.052)
Epoch: [42][1390/7045]	Time 0.238 (0.258)	Data 0.187 (0.195)	Loss 3.1283 (3.2061)	Prec@1 27.344 (26.917)	Prec@5 59.375 (55.046)
Epoch: [42][1400/7045]	Time 0.496 (0.258)	Data 0.444 (0.195)	Loss 3.2875 (3.2066)	Prec@1 28.516 (26.911)	Prec@5 50.781 (55.037)
Epoch: [42][1410/7045]	Time 0.111 (0.258)	Data 0.060 (0.195)	Loss 3.1899 (3.2066)	Prec@1 28.125 (26.920)	Prec@5 53.125 (55.035)
Epoch: [42][1420/7045]	Time 0.753 (0.258)	Data 0.700 (0.195)	Loss 3.0518 (3.2064)	Prec@1 29.688 (26.925)	Prec@5 60.938 (55.051)
Epoch: [42][1430/7045]	Time 0.309 (0.258)	Data 0.258 (0.195)	Loss 3.2476 (3.2064)	Prec@1 26.172 (26.921)	Prec@5 51.562 (55.050)
Epoch: [42][1440/7045]	Time 0.101 (0.258)	Data 0.001 (0.195)	Loss 3.2304 (3.2069)	Prec@1 25.391 (26.914)	Prec@5 56.250 (55.038)
Epoch: [42][1450/7045]	Time 0.265 (0.258)	Data 0.212 (0.195)	Loss 3.0563 (3.2065)	Prec@1 28.516 (26.915)	Prec@5 56.641 (55.046)
Epoch: [42][1460/7045]	Time 0.345 (0.258)	Data 0.294 (0.195)	Loss 3.2203 (3.2064)	Prec@1 23.438 (26.914)	Prec@5 57.422 (55.047)
Epoch: [42][1470/7045]	Time 0.244 (0.258)	Data 0.193 (0.195)	Loss 3.2382 (3.2061)	Prec@1 24.609 (26.911)	Prec@5 54.688 (55.053)
Epoch: [42][1480/7045]	Time 0.588 (0.258)	Data 0.537 (0.195)	Loss 3.4564 (3.2059)	Prec@1 21.875 (26.917)	Prec@5 48.828 (55.061)
Epoch: [42][1490/7045]	Time 0.102 (0.258)	Data 0.006 (0.195)	Loss 3.3501 (3.2061)	Prec@1 26.562 (26.914)	Prec@5 56.250 (55.063)
Epoch: [42][1500/7045]	Time 0.280 (0.258)	Data 0.229 (0.195)	Loss 3.4218 (3.2058)	Prec@1 23.047 (26.913)	Prec@5 50.781 (55.067)
Epoch: [42][1510/7045]	Time 0.234 (0.258)	Data 0.183 (0.195)	Loss 2.9765 (3.2058)	Prec@1 31.250 (26.906)	Prec@5 57.812 (55.076)
Epoch: [42][1520/7045]	Time 0.293 (0.258)	Data 0.242 (0.195)	Loss 3.3302 (3.2060)	Prec@1 27.734 (26.903)	Prec@5 53.516 (55.076)
Epoch: [42][1530/7045]	Time 0.451 (0.258)	Data 0.401 (0.195)	Loss 3.1725 (3.2061)	Prec@1 28.906 (26.903)	Prec@5 55.859 (55.076)
Epoch: [42][1540/7045]	Time 0.181 (0.258)	Data 0.129 (0.195)	Loss 3.3270 (3.2059)	Prec@1 25.391 (26.910)	Prec@5 50.000 (55.075)
Epoch: [42][1550/7045]	Time 0.282 (0.258)	Data 0.225 (0.195)	Loss 3.3016 (3.2059)	Prec@1 23.047 (26.909)	Prec@5 51.562 (55.076)
Epoch: [42][1560/7045]	Time 0.110 (0.258)	Data 0.058 (0.195)	Loss 3.3203 (3.2064)	Prec@1 24.609 (26.896)	Prec@5 55.469 (55.075)
Epoch: [42][1570/7045]	Time 0.107 (0.258)	Data 0.007 (0.195)	Loss 3.1386 (3.2065)	Prec@1 28.125 (26.894)	Prec@5 58.203 (55.071)
Epoch: [42][1580/7045]	Time 0.453 (0.258)	Data 0.401 (0.195)	Loss 3.3308 (3.2063)	Prec@1 25.781 (26.899)	Prec@5 51.172 (55.068)
Epoch: [42][1590/7045]	Time 0.376 (0.258)	Data 0.324 (0.195)	Loss 3.4471 (3.2064)	Prec@1 21.094 (26.898)	Prec@5 48.828 (55.062)
Epoch: [42][1600/7045]	Time 0.210 (0.258)	Data 0.158 (0.195)	Loss 3.2282 (3.2066)	Prec@1 27.344 (26.897)	Prec@5 58.203 (55.058)
Epoch: [42][1610/7045]	Time 0.424 (0.258)	Data 0.371 (0.195)	Loss 3.3878 (3.2071)	Prec@1 22.266 (26.891)	Prec@5 47.266 (55.046)
Epoch: [42][1620/7045]	Time 0.100 (0.258)	Data 0.001 (0.195)	Loss 3.3748 (3.2074)	Prec@1 25.000 (26.884)	Prec@5 47.266 (55.038)
Epoch: [42][1630/7045]	Time 0.415 (0.258)	Data 0.364 (0.195)	Loss 3.2766 (3.2077)	Prec@1 27.734 (26.874)	Prec@5 55.469 (55.034)
Epoch: [42][1640/7045]	Time 0.110 (0.258)	Data 0.058 (0.195)	Loss 3.4508 (3.2080)	Prec@1 22.656 (26.877)	Prec@5 51.172 (55.033)
Epoch: [42][1650/7045]	Time 0.286 (0.258)	Data 0.234 (0.195)	Loss 3.2466 (3.2078)	Prec@1 25.000 (26.875)	Prec@5 57.422 (55.038)
Epoch: [42][1660/7045]	Time 0.161 (0.258)	Data 0.110 (0.195)	Loss 3.1102 (3.2075)	Prec@1 26.562 (26.873)	Prec@5 57.422 (55.045)
Epoch: [42][1670/7045]	Time 0.111 (0.258)	Data 0.051 (0.195)	Loss 3.4089 (3.2077)	Prec@1 19.531 (26.870)	Prec@5 50.000 (55.040)
Epoch: [42][1680/7045]	Time 0.101 (0.258)	Data 0.001 (0.195)	Loss 3.3117 (3.2077)	Prec@1 21.875 (26.869)	Prec@5 50.781 (55.036)
Epoch: [42][1690/7045]	Time 0.214 (0.258)	Data 0.163 (0.195)	Loss 3.2994 (3.2079)	Prec@1 26.562 (26.860)	Prec@5 57.812 (55.038)
Epoch: [42][1700/7045]	Time 0.101 (0.258)	Data 0.006 (0.195)	Loss 3.1462 (3.2080)	Prec@1 25.781 (26.859)	Prec@5 54.297 (55.030)
Epoch: [42][1710/7045]	Time 0.281 (0.258)	Data 0.229 (0.195)	Loss 3.3420 (3.2088)	Prec@1 26.953 (26.849)	Prec@5 51.953 (55.019)
Epoch: [42][1720/7045]	Time 0.199 (0.258)	Data 0.148 (0.195)	Loss 3.3633 (3.2089)	Prec@1 26.562 (26.855)	Prec@5 50.391 (55.014)
Epoch: [42][1730/7045]	Time 0.102 (0.258)	Data 0.001 (0.195)	Loss 3.1950 (3.2088)	Prec@1 26.953 (26.858)	Prec@5 55.469 (55.018)
Epoch: [42][1740/7045]	Time 0.113 (0.258)	Data 0.060 (0.195)	Loss 3.1233 (3.2088)	Prec@1 28.125 (26.858)	Prec@5 54.297 (55.014)
Epoch: [42][1750/7045]	Time 0.102 (0.258)	Data 0.001 (0.195)	Loss 2.9713 (3.2090)	Prec@1 33.984 (26.860)	Prec@5 60.938 (55.013)
Epoch: [42][1760/7045]	Time 0.226 (0.258)	Data 0.174 (0.195)	Loss 3.1550 (3.2091)	Prec@1 30.078 (26.863)	Prec@5 55.469 (55.004)
Epoch: [42][1770/7045]	Time 0.157 (0.258)	Data 0.105 (0.195)	Loss 3.2570 (3.2090)	Prec@1 25.000 (26.862)	Prec@5 53.906 (55.006)
Epoch: [42][1780/7045]	Time 0.182 (0.258)	Data 0.131 (0.195)	Loss 3.1513 (3.2088)	Prec@1 27.344 (26.862)	Prec@5 54.688 (55.009)
Epoch: [42][1790/7045]	Time 0.113 (0.258)	Data 0.061 (0.195)	Loss 3.2609 (3.2088)	Prec@1 27.344 (26.861)	Prec@5 50.781 (55.010)
Epoch: [42][1800/7045]	Time 0.205 (0.258)	Data 0.153 (0.195)	Loss 3.1370 (3.2089)	Prec@1 25.781 (26.851)	Prec@5 52.734 (55.004)
Epoch: [42][1810/7045]	Time 0.102 (0.258)	Data 0.001 (0.195)	Loss 3.0547 (3.2087)	Prec@1 29.297 (26.853)	Prec@5 58.203 (55.005)
Epoch: [42][1820/7045]	Time 0.176 (0.258)	Data 0.126 (0.195)	Loss 3.2892 (3.2086)	Prec@1 25.781 (26.856)	Prec@5 54.688 (55.006)
Epoch: [42][1830/7045]	Time 0.110 (0.257)	Data 0.059 (0.195)	Loss 3.2880 (3.2084)	Prec@1 25.781 (26.861)	Prec@5 55.078 (55.013)
Epoch: [42][1840/7045]	Time 0.120 (0.258)	Data 0.069 (0.195)	Loss 3.3303 (3.2082)	Prec@1 25.781 (26.864)	Prec@5 55.469 (55.021)
Epoch: [42][1850/7045]	Time 0.102 (0.257)	Data 0.001 (0.194)	Loss 3.3450 (3.2089)	Prec@1 23.438 (26.851)	Prec@5 51.562 (55.010)
Epoch: [42][1860/7045]	Time 0.108 (0.257)	Data 0.009 (0.194)	Loss 3.1781 (3.2089)	Prec@1 30.078 (26.854)	Prec@5 54.297 (55.011)
Epoch: [42][1870/7045]	Time 0.103 (0.257)	Data 0.001 (0.194)	Loss 3.2371 (3.2089)	Prec@1 28.906 (26.851)	Prec@5 51.562 (55.012)
Epoch: [42][1880/7045]	Time 0.100 (0.257)	Data 0.012 (0.194)	Loss 3.2585 (3.2086)	Prec@1 24.219 (26.853)	Prec@5 54.297 (55.020)
Epoch: [42][1890/7045]	Time 0.102 (0.257)	Data 0.006 (0.194)	Loss 3.1954 (3.2083)	Prec@1 30.078 (26.863)	Prec@5 55.859 (55.029)
Epoch: [42][1900/7045]	Time 0.102 (0.257)	Data 0.050 (0.194)	Loss 3.1083 (3.2084)	Prec@1 30.469 (26.865)	Prec@5 57.422 (55.032)
Epoch: [42][1910/7045]	Time 0.121 (0.257)	Data 0.071 (0.194)	Loss 3.1821 (3.2086)	Prec@1 27.344 (26.865)	Prec@5 54.297 (55.029)
Epoch: [42][1920/7045]	Time 0.108 (0.257)	Data 0.056 (0.194)	Loss 3.1981 (3.2083)	Prec@1 27.734 (26.871)	Prec@5 58.984 (55.037)
Epoch: [42][1930/7045]	Time 0.192 (0.257)	Data 0.141 (0.194)	Loss 2.9855 (3.2084)	Prec@1 30.859 (26.865)	Prec@5 62.109 (55.036)
Epoch: [42][1940/7045]	Time 0.205 (0.257)	Data 0.154 (0.194)	Loss 3.2473 (3.2084)	Prec@1 23.047 (26.862)	Prec@5 53.906 (55.035)
Epoch: [42][1950/7045]	Time 0.220 (0.257)	Data 0.168 (0.194)	Loss 3.2447 (3.2082)	Prec@1 28.125 (26.872)	Prec@5 53.125 (55.039)
Epoch: [42][1960/7045]	Time 0.220 (0.258)	Data 0.168 (0.194)	Loss 3.3340 (3.2082)	Prec@1 26.953 (26.873)	Prec@5 55.859 (55.040)
Epoch: [42][1970/7045]	Time 0.101 (0.257)	Data 0.001 (0.194)	Loss 3.1354 (3.2084)	Prec@1 28.516 (26.872)	Prec@5 56.250 (55.035)
Epoch: [42][1980/7045]	Time 0.109 (0.257)	Data 0.001 (0.194)	Loss 3.3629 (3.2084)	Prec@1 25.391 (26.867)	Prec@5 55.078 (55.037)
Epoch: [42][1990/7045]	Time 0.101 (0.257)	Data 0.001 (0.194)	Loss 3.1049 (3.2088)	Prec@1 26.953 (26.863)	Prec@5 54.297 (55.026)
Epoch: [42][2000/7045]	Time 0.101 (0.257)	Data 0.049 (0.194)	Loss 2.9621 (3.2085)	Prec@1 32.812 (26.870)	Prec@5 62.500 (55.033)
Epoch: [42][2010/7045]	Time 0.675 (0.258)	Data 0.622 (0.194)	Loss 3.1864 (3.2085)	Prec@1 23.438 (26.866)	Prec@5 55.078 (55.030)
Epoch: [42][2020/7045]	Time 0.103 (0.257)	Data 0.050 (0.194)	Loss 3.4148 (3.2084)	Prec@1 22.266 (26.860)	Prec@5 51.562 (55.028)
Epoch: [42][2030/7045]	Time 0.334 (0.257)	Data 0.282 (0.194)	Loss 3.0310 (3.2080)	Prec@1 31.641 (26.871)	Prec@5 56.250 (55.038)
Epoch: [42][2040/7045]	Time 0.168 (0.257)	Data 0.117 (0.194)	Loss 3.3223 (3.2081)	Prec@1 27.344 (26.876)	Prec@5 50.391 (55.035)
Epoch: [42][2050/7045]	Time 0.442 (0.257)	Data 0.391 (0.194)	Loss 3.2437 (3.2084)	Prec@1 29.297 (26.870)	Prec@5 54.297 (55.031)
Epoch: [42][2060/7045]	Time 0.102 (0.257)	Data 0.001 (0.194)	Loss 3.4301 (3.2087)	Prec@1 26.172 (26.866)	Prec@5 50.781 (55.029)
Epoch: [42][2070/7045]	Time 0.390 (0.257)	Data 0.339 (0.194)	Loss 3.3298 (3.2088)	Prec@1 19.922 (26.860)	Prec@5 54.297 (55.028)
Epoch: [42][2080/7045]	Time 0.102 (0.257)	Data 0.001 (0.194)	Loss 3.2487 (3.2088)	Prec@1 24.219 (26.859)	Prec@5 50.391 (55.024)
Epoch: [42][2090/7045]	Time 0.312 (0.257)	Data 0.260 (0.194)	Loss 3.2487 (3.2089)	Prec@1 28.516 (26.855)	Prec@5 54.688 (55.022)
Epoch: [42][2100/7045]	Time 0.145 (0.257)	Data 0.093 (0.194)	Loss 3.2686 (3.2092)	Prec@1 26.562 (26.851)	Prec@5 51.953 (55.014)
Epoch: [42][2110/7045]	Time 0.173 (0.257)	Data 0.122 (0.194)	Loss 3.3246 (3.2091)	Prec@1 24.219 (26.852)	Prec@5 52.734 (55.019)
Epoch: [42][2120/7045]	Time 0.101 (0.257)	Data 0.048 (0.194)	Loss 3.4455 (3.2095)	Prec@1 21.875 (26.847)	Prec@5 50.000 (55.012)
Epoch: [42][2130/7045]	Time 0.191 (0.257)	Data 0.139 (0.194)	Loss 3.1469 (3.2095)	Prec@1 28.516 (26.844)	Prec@5 55.078 (55.011)
Epoch: [42][2140/7045]	Time 0.107 (0.257)	Data 0.055 (0.194)	Loss 3.3711 (3.2095)	Prec@1 24.219 (26.845)	Prec@5 51.562 (55.010)
Epoch: [42][2150/7045]	Time 0.182 (0.257)	Data 0.131 (0.194)	Loss 3.3925 (3.2098)	Prec@1 23.047 (26.843)	Prec@5 52.734 (55.005)
Epoch: [42][2160/7045]	Time 0.108 (0.257)	Data 0.009 (0.194)	Loss 3.2143 (3.2100)	Prec@1 25.781 (26.837)	Prec@5 52.734 (55.001)
Epoch: [42][2170/7045]	Time 0.123 (0.256)	Data 0.071 (0.193)	Loss 3.1414 (3.2100)	Prec@1 26.953 (26.831)	Prec@5 53.516 (55.000)
Epoch: [42][2180/7045]	Time 0.108 (0.256)	Data 0.013 (0.193)	Loss 3.2776 (3.2100)	Prec@1 28.125 (26.835)	Prec@5 55.469 (55.003)
Epoch: [42][2190/7045]	Time 0.110 (0.256)	Data 0.057 (0.193)	Loss 3.3155 (3.2102)	Prec@1 23.828 (26.832)	Prec@5 51.562 (55.000)
Epoch: [42][2200/7045]	Time 0.100 (0.256)	Data 0.006 (0.193)	Loss 3.2511 (3.2104)	Prec@1 24.609 (26.821)	Prec@5 53.125 (54.994)
Epoch: [42][2210/7045]	Time 0.114 (0.256)	Data 0.062 (0.193)	Loss 3.2640 (3.2102)	Prec@1 25.781 (26.821)	Prec@5 53.516 (54.999)
Epoch: [42][2220/7045]	Time 0.110 (0.256)	Data 0.004 (0.193)	Loss 3.1668 (3.2102)	Prec@1 27.344 (26.819)	Prec@5 56.641 (55.002)
Epoch: [42][2230/7045]	Time 0.102 (0.256)	Data 0.001 (0.193)	Loss 3.3845 (3.2103)	Prec@1 24.609 (26.818)	Prec@5 48.047 (55.002)
Epoch: [42][2240/7045]	Time 0.102 (0.256)	Data 0.050 (0.193)	Loss 3.1852 (3.2105)	Prec@1 27.344 (26.813)	Prec@5 53.516 (55.001)
Epoch: [42][2250/7045]	Time 0.732 (0.256)	Data 0.681 (0.193)	Loss 3.2344 (3.2107)	Prec@1 28.125 (26.809)	Prec@5 56.250 (54.999)
Epoch: [42][2260/7045]	Time 0.118 (0.256)	Data 0.061 (0.193)	Loss 3.0131 (3.2105)	Prec@1 29.688 (26.811)	Prec@5 58.203 (55.001)
Epoch: [42][2270/7045]	Time 0.490 (0.256)	Data 0.430 (0.193)	Loss 3.3723 (3.2106)	Prec@1 27.734 (26.812)	Prec@5 51.562 (55.004)
Epoch: [42][2280/7045]	Time 0.217 (0.256)	Data 0.166 (0.193)	Loss 3.4685 (3.2107)	Prec@1 23.047 (26.813)	Prec@5 51.562 (54.999)
Epoch: [42][2290/7045]	Time 0.102 (0.256)	Data 0.008 (0.193)	Loss 3.0269 (3.2107)	Prec@1 30.469 (26.810)	Prec@5 59.375 (54.994)
Epoch: [42][2300/7045]	Time 0.110 (0.256)	Data 0.059 (0.192)	Loss 3.0949 (3.2106)	Prec@1 26.953 (26.815)	Prec@5 58.594 (55.004)
Epoch: [42][2310/7045]	Time 0.134 (0.256)	Data 0.083 (0.192)	Loss 3.3855 (3.2107)	Prec@1 23.438 (26.811)	Prec@5 52.344 (55.003)
Epoch: [42][2320/7045]	Time 0.364 (0.256)	Data 0.314 (0.193)	Loss 3.2465 (3.2105)	Prec@1 30.078 (26.817)	Prec@5 52.344 (55.004)
Epoch: [42][2330/7045]	Time 0.104 (0.256)	Data 0.053 (0.192)	Loss 3.1848 (3.2104)	Prec@1 24.219 (26.820)	Prec@5 55.859 (55.012)
Epoch: [42][2340/7045]	Time 0.542 (0.256)	Data 0.491 (0.192)	Loss 2.9144 (3.2099)	Prec@1 29.688 (26.828)	Prec@5 62.109 (55.023)
Epoch: [42][2350/7045]	Time 0.302 (0.256)	Data 0.251 (0.192)	Loss 3.2288 (3.2099)	Prec@1 27.734 (26.826)	Prec@5 52.734 (55.023)
Epoch: [42][2360/7045]	Time 0.359 (0.255)	Data 0.302 (0.192)	Loss 3.2561 (3.2096)	Prec@1 26.172 (26.831)	Prec@5 53.516 (55.028)
Epoch: [42][2370/7045]	Time 0.230 (0.255)	Data 0.179 (0.192)	Loss 3.2787 (3.2098)	Prec@1 30.078 (26.829)	Prec@5 54.297 (55.024)
Epoch: [42][2380/7045]	Time 0.108 (0.255)	Data 0.006 (0.192)	Loss 3.1764 (3.2097)	Prec@1 29.688 (26.831)	Prec@5 55.469 (55.029)
Epoch: [42][2390/7045]	Time 0.106 (0.255)	Data 0.001 (0.192)	Loss 3.0854 (3.2095)	Prec@1 27.734 (26.835)	Prec@5 57.812 (55.035)
Epoch: [42][2400/7045]	Time 0.099 (0.255)	Data 0.046 (0.192)	Loss 3.0845 (3.2095)	Prec@1 28.516 (26.833)	Prec@5 55.469 (55.037)
Epoch: [42][2410/7045]	Time 0.439 (0.255)	Data 0.388 (0.192)	Loss 3.1092 (3.2094)	Prec@1 26.953 (26.837)	Prec@5 57.812 (55.040)
Epoch: [42][2420/7045]	Time 0.101 (0.255)	Data 0.045 (0.192)	Loss 3.1697 (3.2092)	Prec@1 26.562 (26.838)	Prec@5 56.250 (55.044)
Epoch: [42][2430/7045]	Time 0.697 (0.255)	Data 0.644 (0.192)	Loss 3.2922 (3.2092)	Prec@1 27.344 (26.838)	Prec@5 51.953 (55.045)
Epoch: [42][2440/7045]	Time 0.108 (0.255)	Data 0.001 (0.192)	Loss 3.3480 (3.2093)	Prec@1 23.047 (26.836)	Prec@5 51.953 (55.045)
Epoch: [42][2450/7045]	Time 0.606 (0.255)	Data 0.547 (0.192)	Loss 3.1604 (3.2091)	Prec@1 27.734 (26.836)	Prec@5 57.812 (55.047)
Epoch: [42][2460/7045]	Time 0.206 (0.255)	Data 0.155 (0.192)	Loss 3.4045 (3.2091)	Prec@1 22.656 (26.838)	Prec@5 50.781 (55.049)
Epoch: [42][2470/7045]	Time 0.522 (0.255)	Data 0.472 (0.192)	Loss 2.9502 (3.2090)	Prec@1 26.172 (26.836)	Prec@5 58.594 (55.054)
Epoch: [42][2480/7045]	Time 0.192 (0.255)	Data 0.140 (0.192)	Loss 3.3030 (3.2091)	Prec@1 26.172 (26.836)	Prec@5 52.734 (55.049)
Epoch: [42][2490/7045]	Time 0.252 (0.255)	Data 0.201 (0.192)	Loss 3.1588 (3.2094)	Prec@1 26.562 (26.825)	Prec@5 55.859 (55.046)
Epoch: [42][2500/7045]	Time 0.105 (0.255)	Data 0.054 (0.192)	Loss 3.0595 (3.2092)	Prec@1 30.469 (26.827)	Prec@5 57.422 (55.052)
Epoch: [42][2510/7045]	Time 0.101 (0.255)	Data 0.004 (0.192)	Loss 3.3930 (3.2092)	Prec@1 25.781 (26.826)	Prec@5 53.125 (55.053)
Epoch: [42][2520/7045]	Time 0.122 (0.254)	Data 0.071 (0.192)	Loss 3.0756 (3.2093)	Prec@1 26.172 (26.825)	Prec@5 58.594 (55.048)
Epoch: [42][2530/7045]	Time 0.226 (0.255)	Data 0.175 (0.192)	Loss 3.2405 (3.2092)	Prec@1 26.953 (26.829)	Prec@5 51.953 (55.048)
Epoch: [42][2540/7045]	Time 0.101 (0.254)	Data 0.008 (0.191)	Loss 3.1202 (3.2093)	Prec@1 26.562 (26.829)	Prec@5 55.469 (55.046)
Epoch: [42][2550/7045]	Time 0.237 (0.254)	Data 0.185 (0.191)	Loss 3.1850 (3.2092)	Prec@1 26.562 (26.826)	Prec@5 56.641 (55.049)
Epoch: [42][2560/7045]	Time 0.122 (0.254)	Data 0.071 (0.191)	Loss 3.4618 (3.2095)	Prec@1 24.219 (26.825)	Prec@5 47.266 (55.046)
Epoch: [42][2570/7045]	Time 0.235 (0.254)	Data 0.184 (0.191)	Loss 3.2765 (3.2093)	Prec@1 29.688 (26.834)	Prec@5 55.469 (55.049)
Epoch: [42][2580/7045]	Time 0.356 (0.254)	Data 0.303 (0.191)	Loss 3.1549 (3.2093)	Prec@1 29.688 (26.833)	Prec@5 56.250 (55.047)
Epoch: [42][2590/7045]	Time 0.271 (0.254)	Data 0.221 (0.191)	Loss 2.9939 (3.2095)	Prec@1 28.516 (26.831)	Prec@5 58.203 (55.044)
Epoch: [42][2600/7045]	Time 0.592 (0.254)	Data 0.541 (0.191)	Loss 3.2395 (3.2094)	Prec@1 27.344 (26.833)	Prec@5 50.000 (55.043)
Epoch: [42][2610/7045]	Time 0.164 (0.254)	Data 0.113 (0.191)	Loss 3.0943 (3.2094)	Prec@1 28.516 (26.835)	Prec@5 57.031 (55.043)
Epoch: [42][2620/7045]	Time 0.489 (0.254)	Data 0.438 (0.191)	Loss 3.1956 (3.2092)	Prec@1 29.688 (26.840)	Prec@5 53.906 (55.043)
Epoch: [42][2630/7045]	Time 0.107 (0.254)	Data 0.050 (0.191)	Loss 3.2919 (3.2092)	Prec@1 24.609 (26.840)	Prec@5 55.469 (55.043)
Epoch: [42][2640/7045]	Time 0.375 (0.254)	Data 0.324 (0.191)	Loss 2.9818 (3.2092)	Prec@1 28.125 (26.842)	Prec@5 59.766 (55.044)
Epoch: [42][2650/7045]	Time 0.181 (0.254)	Data 0.131 (0.191)	Loss 3.1382 (3.2093)	Prec@1 25.781 (26.840)	Prec@5 57.812 (55.045)
Epoch: [42][2660/7045]	Time 0.103 (0.254)	Data 0.051 (0.191)	Loss 3.1282 (3.2092)	Prec@1 27.344 (26.842)	Prec@5 54.297 (55.044)
Epoch: [42][2670/7045]	Time 0.403 (0.254)	Data 0.352 (0.191)	Loss 3.1866 (3.2092)	Prec@1 23.438 (26.838)	Prec@5 56.641 (55.044)
Epoch: [42][2680/7045]	Time 0.102 (0.254)	Data 0.001 (0.191)	Loss 3.2904 (3.2094)	Prec@1 25.391 (26.833)	Prec@5 52.734 (55.040)
Epoch: [42][2690/7045]	Time 0.531 (0.254)	Data 0.473 (0.191)	Loss 3.2062 (3.2096)	Prec@1 23.438 (26.831)	Prec@5 57.422 (55.035)
Epoch: [42][2700/7045]	Time 0.101 (0.254)	Data 0.005 (0.191)	Loss 3.2283 (3.2097)	Prec@1 26.953 (26.826)	Prec@5 55.078 (55.033)
Epoch: [42][2710/7045]	Time 0.349 (0.254)	Data 0.297 (0.191)	Loss 3.3301 (3.2097)	Prec@1 22.656 (26.823)	Prec@5 52.344 (55.033)
Epoch: [42][2720/7045]	Time 0.105 (0.254)	Data 0.005 (0.191)	Loss 3.3736 (3.2096)	Prec@1 24.219 (26.823)	Prec@5 54.297 (55.036)
Epoch: [42][2730/7045]	Time 0.295 (0.254)	Data 0.244 (0.191)	Loss 3.2153 (3.2096)	Prec@1 27.344 (26.821)	Prec@5 53.906 (55.034)
Epoch: [42][2740/7045]	Time 0.105 (0.254)	Data 0.053 (0.191)	Loss 3.1239 (3.2096)	Prec@1 31.250 (26.825)	Prec@5 59.375 (55.037)
Epoch: [42][2750/7045]	Time 0.187 (0.253)	Data 0.136 (0.191)	Loss 3.4485 (3.2098)	Prec@1 23.438 (26.825)	Prec@5 51.562 (55.033)
Epoch: [42][2760/7045]	Time 0.240 (0.254)	Data 0.188 (0.191)	Loss 3.3431 (3.2099)	Prec@1 24.609 (26.823)	Prec@5 48.828 (55.027)
Epoch: [42][2770/7045]	Time 0.102 (0.253)	Data 0.001 (0.191)	Loss 3.3531 (3.2101)	Prec@1 22.266 (26.821)	Prec@5 50.781 (55.022)
Epoch: [42][2780/7045]	Time 0.332 (0.253)	Data 0.280 (0.191)	Loss 3.4581 (3.2103)	Prec@1 23.047 (26.817)	Prec@5 47.656 (55.018)
Epoch: [42][2790/7045]	Time 0.158 (0.253)	Data 0.106 (0.191)	Loss 3.1451 (3.2104)	Prec@1 25.391 (26.817)	Prec@5 50.391 (55.016)
Epoch: [42][2800/7045]	Time 0.247 (0.253)	Data 0.196 (0.191)	Loss 2.9950 (3.2104)	Prec@1 28.906 (26.814)	Prec@5 58.984 (55.021)
Epoch: [42][2810/7045]	Time 0.256 (0.253)	Data 0.198 (0.191)	Loss 3.2940 (3.2105)	Prec@1 23.438 (26.810)	Prec@5 54.688 (55.018)
Epoch: [42][2820/7045]	Time 0.125 (0.253)	Data 0.074 (0.191)	Loss 3.3578 (3.2105)	Prec@1 23.047 (26.804)	Prec@5 55.469 (55.022)
Epoch: [42][2830/7045]	Time 0.103 (0.253)	Data 0.048 (0.191)	Loss 3.1508 (3.2105)	Prec@1 27.344 (26.804)	Prec@5 56.641 (55.021)
Epoch: [42][2840/7045]	Time 0.101 (0.253)	Data 0.001 (0.190)	Loss 3.2221 (3.2105)	Prec@1 28.516 (26.808)	Prec@5 52.344 (55.022)
Epoch: [42][2850/7045]	Time 0.124 (0.253)	Data 0.073 (0.190)	Loss 3.2780 (3.2105)	Prec@1 25.781 (26.808)	Prec@5 54.297 (55.022)
Epoch: [42][2860/7045]	Time 0.225 (0.253)	Data 0.174 (0.190)	Loss 3.2173 (3.2106)	Prec@1 26.562 (26.807)	Prec@5 52.734 (55.021)
Epoch: [42][2870/7045]	Time 0.411 (0.253)	Data 0.360 (0.191)	Loss 3.3625 (3.2107)	Prec@1 27.344 (26.807)	Prec@5 52.734 (55.023)
Epoch: [42][2880/7045]	Time 0.434 (0.253)	Data 0.377 (0.190)	Loss 3.3069 (3.2106)	Prec@1 25.391 (26.805)	Prec@5 51.562 (55.026)
Epoch: [42][2890/7045]	Time 0.193 (0.253)	Data 0.141 (0.190)	Loss 3.2128 (3.2106)	Prec@1 26.953 (26.803)	Prec@5 53.906 (55.024)
Epoch: [42][2900/7045]	Time 0.481 (0.253)	Data 0.431 (0.190)	Loss 2.8514 (3.2105)	Prec@1 30.469 (26.803)	Prec@5 62.500 (55.026)
Epoch: [42][2910/7045]	Time 0.110 (0.253)	Data 0.059 (0.190)	Loss 3.3097 (3.2107)	Prec@1 25.000 (26.803)	Prec@5 55.078 (55.022)
Epoch: [42][2920/7045]	Time 0.319 (0.253)	Data 0.269 (0.190)	Loss 3.3719 (3.2107)	Prec@1 25.391 (26.805)	Prec@5 51.562 (55.025)
Epoch: [42][2930/7045]	Time 0.167 (0.253)	Data 0.116 (0.190)	Loss 3.4007 (3.2108)	Prec@1 24.609 (26.799)	Prec@5 53.125 (55.021)
Epoch: [42][2940/7045]	Time 0.342 (0.253)	Data 0.291 (0.190)	Loss 3.3113 (3.2109)	Prec@1 28.906 (26.799)	Prec@5 54.688 (55.016)
Epoch: [42][2950/7045]	Time 0.101 (0.253)	Data 0.048 (0.190)	Loss 3.0245 (3.2110)	Prec@1 27.344 (26.797)	Prec@5 58.203 (55.014)
Epoch: [42][2960/7045]	Time 0.144 (0.253)	Data 0.093 (0.190)	Loss 3.1836 (3.2108)	Prec@1 27.344 (26.799)	Prec@5 53.516 (55.013)
Epoch: [42][2970/7045]	Time 0.169 (0.253)	Data 0.117 (0.190)	Loss 3.0484 (3.2108)	Prec@1 28.516 (26.797)	Prec@5 60.156 (55.014)
Epoch: [42][2980/7045]	Time 0.124 (0.253)	Data 0.073 (0.190)	Loss 3.2868 (3.2108)	Prec@1 25.781 (26.796)	Prec@5 53.125 (55.017)
Epoch: [42][2990/7045]	Time 0.102 (0.253)	Data 0.043 (0.190)	Loss 3.3942 (3.2109)	Prec@1 21.484 (26.796)	Prec@5 51.172 (55.016)
Epoch: [42][3000/7045]	Time 0.246 (0.253)	Data 0.195 (0.190)	Loss 3.3200 (3.2108)	Prec@1 23.438 (26.798)	Prec@5 54.688 (55.019)
Epoch: [42][3010/7045]	Time 0.102 (0.253)	Data 0.001 (0.190)	Loss 3.3199 (3.2108)	Prec@1 20.703 (26.800)	Prec@5 52.344 (55.017)
Epoch: [42][3020/7045]	Time 0.179 (0.253)	Data 0.128 (0.190)	Loss 3.1451 (3.2110)	Prec@1 26.953 (26.800)	Prec@5 56.250 (55.016)
Epoch: [42][3030/7045]	Time 0.238 (0.253)	Data 0.187 (0.190)	Loss 3.2395 (3.2109)	Prec@1 30.469 (26.802)	Prec@5 53.125 (55.016)
Epoch: [42][3040/7045]	Time 0.200 (0.253)	Data 0.148 (0.190)	Loss 3.1522 (3.2108)	Prec@1 26.172 (26.806)	Prec@5 57.031 (55.019)
Epoch: [42][3050/7045]	Time 0.335 (0.253)	Data 0.283 (0.190)	Loss 3.2638 (3.2107)	Prec@1 26.172 (26.806)	Prec@5 56.250 (55.021)
Epoch: [42][3060/7045]	Time 0.103 (0.252)	Data 0.001 (0.190)	Loss 3.2773 (3.2108)	Prec@1 26.562 (26.806)	Prec@5 56.641 (55.018)
Epoch: [42][3070/7045]	Time 0.191 (0.252)	Data 0.140 (0.190)	Loss 3.2359 (3.2108)	Prec@1 26.562 (26.805)	Prec@5 55.078 (55.022)
Epoch: [42][3080/7045]	Time 0.416 (0.252)	Data 0.365 (0.190)	Loss 3.0085 (3.2108)	Prec@1 27.734 (26.804)	Prec@5 65.234 (55.030)
Epoch: [42][3090/7045]	Time 0.149 (0.252)	Data 0.097 (0.190)	Loss 3.2971 (3.2107)	Prec@1 22.656 (26.803)	Prec@5 51.562 (55.032)
Epoch: [42][3100/7045]	Time 0.534 (0.252)	Data 0.482 (0.190)	Loss 3.2805 (3.2108)	Prec@1 23.828 (26.801)	Prec@5 50.781 (55.030)
Epoch: [42][3110/7045]	Time 0.121 (0.252)	Data 0.070 (0.190)	Loss 3.0741 (3.2108)	Prec@1 29.297 (26.801)	Prec@5 57.031 (55.032)
Epoch: [42][3120/7045]	Time 0.410 (0.252)	Data 0.358 (0.190)	Loss 3.0851 (3.2110)	Prec@1 31.250 (26.799)	Prec@5 57.422 (55.029)
Epoch: [42][3130/7045]	Time 0.247 (0.252)	Data 0.196 (0.190)	Loss 3.1409 (3.2111)	Prec@1 25.000 (26.796)	Prec@5 55.859 (55.028)
Epoch: [42][3140/7045]	Time 0.230 (0.252)	Data 0.179 (0.190)	Loss 2.9977 (3.2111)	Prec@1 31.250 (26.799)	Prec@5 61.328 (55.028)
Epoch: [42][3150/7045]	Time 0.134 (0.252)	Data 0.082 (0.190)	Loss 3.3009 (3.2111)	Prec@1 22.656 (26.797)	Prec@5 53.125 (55.026)
Epoch: [42][3160/7045]	Time 0.257 (0.252)	Data 0.205 (0.190)	Loss 2.7523 (3.2109)	Prec@1 34.375 (26.796)	Prec@5 64.453 (55.026)
Epoch: [42][3170/7045]	Time 0.126 (0.252)	Data 0.074 (0.190)	Loss 3.1660 (3.2110)	Prec@1 25.000 (26.794)	Prec@5 57.031 (55.027)
Epoch: [42][3180/7045]	Time 0.264 (0.252)	Data 0.213 (0.190)	Loss 3.1662 (3.2110)	Prec@1 30.078 (26.793)	Prec@5 54.297 (55.024)
Epoch: [42][3190/7045]	Time 0.102 (0.252)	Data 0.005 (0.190)	Loss 3.2886 (3.2110)	Prec@1 25.391 (26.793)	Prec@5 52.344 (55.021)
Epoch: [42][3200/7045]	Time 0.241 (0.252)	Data 0.189 (0.190)	Loss 3.4420 (3.2111)	Prec@1 25.000 (26.794)	Prec@5 55.078 (55.023)
Epoch: [42][3210/7045]	Time 0.102 (0.252)	Data 0.005 (0.190)	Loss 3.2847 (3.2112)	Prec@1 23.828 (26.794)	Prec@5 55.078 (55.023)
Epoch: [42][3220/7045]	Time 0.354 (0.252)	Data 0.303 (0.190)	Loss 3.3499 (3.2115)	Prec@1 25.000 (26.791)	Prec@5 53.516 (55.015)
Epoch: [42][3230/7045]	Time 0.102 (0.252)	Data 0.005 (0.190)	Loss 3.2525 (3.2114)	Prec@1 26.172 (26.793)	Prec@5 53.516 (55.021)
Epoch: [42][3240/7045]	Time 0.302 (0.252)	Data 0.251 (0.190)	Loss 3.1710 (3.2114)	Prec@1 27.734 (26.789)	Prec@5 56.641 (55.020)
Epoch: [42][3250/7045]	Time 0.101 (0.252)	Data 0.046 (0.190)	Loss 3.1748 (3.2115)	Prec@1 30.859 (26.790)	Prec@5 57.031 (55.022)
Epoch: [42][3260/7045]	Time 0.284 (0.252)	Data 0.233 (0.190)	Loss 3.2317 (3.2115)	Prec@1 26.172 (26.789)	Prec@5 53.516 (55.021)
Epoch: [42][3270/7045]	Time 0.355 (0.252)	Data 0.305 (0.190)	Loss 3.1536 (3.2116)	Prec@1 28.125 (26.788)	Prec@5 54.688 (55.018)
Epoch: [42][3280/7045]	Time 0.222 (0.252)	Data 0.171 (0.190)	Loss 2.9956 (3.2115)	Prec@1 32.422 (26.791)	Prec@5 59.766 (55.018)
Epoch: [42][3290/7045]	Time 0.368 (0.252)	Data 0.317 (0.190)	Loss 3.2463 (3.2115)	Prec@1 23.047 (26.789)	Prec@5 56.250 (55.019)
Epoch: [42][3300/7045]	Time 0.410 (0.252)	Data 0.359 (0.189)	Loss 3.3187 (3.2117)	Prec@1 23.828 (26.787)	Prec@5 49.609 (55.015)
Epoch: [42][3310/7045]	Time 0.339 (0.252)	Data 0.289 (0.189)	Loss 3.2092 (3.2115)	Prec@1 28.125 (26.789)	Prec@5 55.469 (55.020)
Epoch: [42][3320/7045]	Time 0.403 (0.252)	Data 0.352 (0.189)	Loss 3.0850 (3.2113)	Prec@1 30.859 (26.790)	Prec@5 60.156 (55.022)
Epoch: [42][3330/7045]	Time 0.329 (0.251)	Data 0.279 (0.189)	Loss 3.0511 (3.2112)	Prec@1 27.734 (26.793)	Prec@5 58.594 (55.025)
Epoch: [42][3340/7045]	Time 0.345 (0.251)	Data 0.287 (0.189)	Loss 3.0186 (3.2112)	Prec@1 32.031 (26.795)	Prec@5 57.031 (55.022)
Epoch: [42][3350/7045]	Time 0.287 (0.251)	Data 0.236 (0.189)	Loss 3.4054 (3.2112)	Prec@1 22.656 (26.796)	Prec@5 50.781 (55.023)
Epoch: [42][3360/7045]	Time 0.332 (0.251)	Data 0.273 (0.189)	Loss 3.3339 (3.2113)	Prec@1 22.266 (26.796)	Prec@5 50.391 (55.019)
Epoch: [42][3370/7045]	Time 0.294 (0.251)	Data 0.243 (0.189)	Loss 3.0617 (3.2110)	Prec@1 29.297 (26.799)	Prec@5 58.984 (55.028)
Epoch: [42][3380/7045]	Time 0.223 (0.251)	Data 0.167 (0.189)	Loss 3.2730 (3.2111)	Prec@1 23.047 (26.797)	Prec@5 53.906 (55.024)
Epoch: [42][3390/7045]	Time 0.381 (0.251)	Data 0.329 (0.189)	Loss 3.0752 (3.2112)	Prec@1 26.953 (26.790)	Prec@5 59.766 (55.024)
Epoch: [42][3400/7045]	Time 0.111 (0.251)	Data 0.060 (0.189)	Loss 3.0421 (3.2112)	Prec@1 26.953 (26.789)	Prec@5 57.031 (55.022)
Epoch: [42][3410/7045]	Time 0.226 (0.251)	Data 0.176 (0.189)	Loss 3.2523 (3.2112)	Prec@1 25.781 (26.788)	Prec@5 54.297 (55.022)
Epoch: [42][3420/7045]	Time 0.110 (0.251)	Data 0.059 (0.189)	Loss 3.2065 (3.2112)	Prec@1 24.219 (26.788)	Prec@5 57.812 (55.025)
Epoch: [42][3430/7045]	Time 0.122 (0.251)	Data 0.070 (0.189)	Loss 3.1729 (3.2112)	Prec@1 29.297 (26.792)	Prec@5 56.641 (55.025)
Epoch: [42][3440/7045]	Time 0.219 (0.251)	Data 0.169 (0.189)	Loss 3.2311 (3.2112)	Prec@1 25.391 (26.790)	Prec@5 57.422 (55.028)
Epoch: [42][3450/7045]	Time 0.103 (0.251)	Data 0.051 (0.189)	Loss 3.1162 (3.2111)	Prec@1 26.953 (26.794)	Prec@5 58.203 (55.028)
Epoch: [42][3460/7045]	Time 0.322 (0.251)	Data 0.271 (0.189)	Loss 3.0368 (3.2112)	Prec@1 30.078 (26.793)	Prec@5 57.812 (55.028)
Epoch: [42][3470/7045]	Time 0.101 (0.251)	Data 0.007 (0.189)	Loss 3.0072 (3.2109)	Prec@1 31.250 (26.795)	Prec@5 58.594 (55.032)
Epoch: [42][3480/7045]	Time 0.311 (0.251)	Data 0.260 (0.189)	Loss 3.2141 (3.2109)	Prec@1 28.125 (26.794)	Prec@5 55.469 (55.031)
Epoch: [42][3490/7045]	Time 0.101 (0.251)	Data 0.006 (0.189)	Loss 3.2550 (3.2109)	Prec@1 27.734 (26.791)	Prec@5 55.078 (55.031)
Epoch: [42][3500/7045]	Time 0.347 (0.251)	Data 0.295 (0.189)	Loss 3.2883 (3.2107)	Prec@1 24.609 (26.795)	Prec@5 52.344 (55.032)
Epoch: [42][3510/7045]	Time 0.101 (0.251)	Data 0.005 (0.189)	Loss 3.1272 (3.2107)	Prec@1 28.906 (26.797)	Prec@5 57.031 (55.035)
Epoch: [42][3520/7045]	Time 0.481 (0.251)	Data 0.430 (0.189)	Loss 3.2418 (3.2107)	Prec@1 21.875 (26.795)	Prec@5 53.516 (55.035)
Epoch: [42][3530/7045]	Time 0.103 (0.251)	Data 0.001 (0.189)	Loss 3.1516 (3.2106)	Prec@1 32.422 (26.799)	Prec@5 52.344 (55.034)
Epoch: [42][3540/7045]	Time 0.498 (0.251)	Data 0.445 (0.189)	Loss 3.1957 (3.2104)	Prec@1 26.953 (26.805)	Prec@5 51.562 (55.037)
Epoch: [42][3550/7045]	Time 0.102 (0.251)	Data 0.001 (0.189)	Loss 3.3566 (3.2107)	Prec@1 28.125 (26.805)	Prec@5 51.953 (55.033)
Epoch: [42][3560/7045]	Time 0.550 (0.251)	Data 0.498 (0.189)	Loss 3.2942 (3.2106)	Prec@1 23.047 (26.806)	Prec@5 57.031 (55.036)
Epoch: [42][3570/7045]	Time 0.103 (0.251)	Data 0.050 (0.188)	Loss 3.3989 (3.2106)	Prec@1 25.000 (26.807)	Prec@5 48.438 (55.036)
Epoch: [42][3580/7045]	Time 0.552 (0.251)	Data 0.500 (0.189)	Loss 3.2810 (3.2107)	Prec@1 24.219 (26.804)	Prec@5 55.078 (55.032)
Epoch: [42][3590/7045]	Time 0.102 (0.251)	Data 0.050 (0.188)	Loss 3.3189 (3.2106)	Prec@1 25.391 (26.806)	Prec@5 54.688 (55.035)
Epoch: [42][3600/7045]	Time 0.555 (0.251)	Data 0.499 (0.188)	Loss 3.3363 (3.2106)	Prec@1 22.266 (26.809)	Prec@5 51.172 (55.035)
Epoch: [42][3610/7045]	Time 0.160 (0.251)	Data 0.109 (0.188)	Loss 3.0941 (3.2105)	Prec@1 31.641 (26.811)	Prec@5 57.031 (55.038)
Epoch: [42][3620/7045]	Time 0.561 (0.251)	Data 0.504 (0.188)	Loss 3.3888 (3.2106)	Prec@1 23.047 (26.809)	Prec@5 55.469 (55.036)
Epoch: [42][3630/7045]	Time 0.160 (0.250)	Data 0.109 (0.188)	Loss 3.0451 (3.2105)	Prec@1 28.125 (26.812)	Prec@5 59.375 (55.042)
Epoch: [42][3640/7045]	Time 0.570 (0.250)	Data 0.520 (0.188)	Loss 3.0859 (3.2104)	Prec@1 28.906 (26.812)	Prec@5 58.984 (55.045)
Epoch: [42][3650/7045]	Time 0.179 (0.250)	Data 0.120 (0.188)	Loss 3.0226 (3.2102)	Prec@1 31.641 (26.815)	Prec@5 59.375 (55.049)
Epoch: [42][3660/7045]	Time 0.576 (0.250)	Data 0.523 (0.188)	Loss 3.2821 (3.2103)	Prec@1 19.141 (26.812)	Prec@5 54.297 (55.047)
Epoch: [42][3670/7045]	Time 0.178 (0.250)	Data 0.121 (0.188)	Loss 3.4178 (3.2104)	Prec@1 23.047 (26.811)	Prec@5 50.391 (55.045)
Epoch: [42][3680/7045]	Time 0.541 (0.250)	Data 0.481 (0.188)	Loss 3.1175 (3.2105)	Prec@1 27.344 (26.805)	Prec@5 59.375 (55.044)
Epoch: [42][3690/7045]	Time 0.183 (0.250)	Data 0.132 (0.188)	Loss 3.4506 (3.2108)	Prec@1 22.656 (26.802)	Prec@5 51.953 (55.042)
Epoch: [42][3700/7045]	Time 0.515 (0.250)	Data 0.464 (0.188)	Loss 3.0989 (3.2106)	Prec@1 30.078 (26.802)	Prec@5 57.422 (55.044)
Epoch: [42][3710/7045]	Time 0.102 (0.250)	Data 0.050 (0.188)	Loss 3.1189 (3.2108)	Prec@1 28.125 (26.799)	Prec@5 57.422 (55.041)
Epoch: [42][3720/7045]	Time 0.408 (0.250)	Data 0.357 (0.188)	Loss 3.2602 (3.2109)	Prec@1 26.562 (26.798)	Prec@5 55.078 (55.038)
Epoch: [42][3730/7045]	Time 0.130 (0.250)	Data 0.080 (0.188)	Loss 3.3277 (3.2110)	Prec@1 24.609 (26.800)	Prec@5 54.688 (55.040)
Epoch: [42][3740/7045]	Time 0.454 (0.250)	Data 0.402 (0.188)	Loss 3.1142 (3.2109)	Prec@1 25.781 (26.798)	Prec@5 53.516 (55.041)
Epoch: [42][3750/7045]	Time 0.103 (0.250)	Data 0.050 (0.188)	Loss 3.0981 (3.2108)	Prec@1 30.859 (26.799)	Prec@5 55.859 (55.039)
Epoch: [42][3760/7045]	Time 0.531 (0.250)	Data 0.481 (0.188)	Loss 3.1260 (3.2108)	Prec@1 25.391 (26.800)	Prec@5 54.297 (55.038)
Epoch: [42][3770/7045]	Time 0.103 (0.250)	Data 0.051 (0.188)	Loss 3.1017 (3.2109)	Prec@1 30.469 (26.800)	Prec@5 55.859 (55.037)
Epoch: [42][3780/7045]	Time 0.549 (0.250)	Data 0.498 (0.188)	Loss 3.0817 (3.2110)	Prec@1 30.078 (26.797)	Prec@5 57.422 (55.036)
Epoch: [42][3790/7045]	Time 0.104 (0.250)	Data 0.007 (0.188)	Loss 3.4438 (3.2110)	Prec@1 23.438 (26.794)	Prec@5 47.656 (55.034)
Epoch: [42][3800/7045]	Time 0.540 (0.250)	Data 0.488 (0.188)	Loss 3.3232 (3.2110)	Prec@1 25.000 (26.793)	Prec@5 50.391 (55.034)
Epoch: [42][3810/7045]	Time 0.102 (0.250)	Data 0.004 (0.188)	Loss 3.0935 (3.2110)	Prec@1 29.297 (26.792)	Prec@5 55.469 (55.033)
Epoch: [42][3820/7045]	Time 0.499 (0.250)	Data 0.448 (0.188)	Loss 3.1676 (3.2110)	Prec@1 28.125 (26.795)	Prec@5 55.078 (55.031)
Epoch: [42][3830/7045]	Time 0.103 (0.250)	Data 0.004 (0.188)	Loss 3.2322 (3.2109)	Prec@1 27.344 (26.795)	Prec@5 53.516 (55.031)
Epoch: [42][3840/7045]	Time 0.339 (0.250)	Data 0.287 (0.188)	Loss 3.3195 (3.2109)	Prec@1 25.000 (26.797)	Prec@5 50.391 (55.031)
Epoch: [42][3850/7045]	Time 0.099 (0.250)	Data 0.003 (0.188)	Loss 3.4534 (3.2108)	Prec@1 20.312 (26.796)	Prec@5 47.266 (55.034)
Epoch: [42][3860/7045]	Time 0.283 (0.250)	Data 0.230 (0.188)	Loss 3.1225 (3.2107)	Prec@1 28.125 (26.795)	Prec@5 57.031 (55.037)
Epoch: [42][3870/7045]	Time 0.105 (0.250)	Data 0.053 (0.188)	Loss 3.2765 (3.2106)	Prec@1 24.219 (26.798)	Prec@5 50.781 (55.038)
Epoch: [42][3880/7045]	Time 0.199 (0.250)	Data 0.148 (0.188)	Loss 3.4881 (3.2105)	Prec@1 21.094 (26.798)	Prec@5 49.609 (55.040)
Epoch: [42][3890/7045]	Time 0.164 (0.250)	Data 0.112 (0.188)	Loss 3.0987 (3.2106)	Prec@1 30.078 (26.795)	Prec@5 57.422 (55.040)
Epoch: [42][3900/7045]	Time 0.116 (0.250)	Data 0.065 (0.188)	Loss 3.2754 (3.2106)	Prec@1 29.297 (26.796)	Prec@5 53.906 (55.039)
Epoch: [42][3910/7045]	Time 0.162 (0.250)	Data 0.111 (0.188)	Loss 3.2528 (3.2107)	Prec@1 28.125 (26.796)	Prec@5 53.516 (55.038)
Epoch: [42][3920/7045]	Time 0.101 (0.250)	Data 0.048 (0.188)	Loss 3.0106 (3.2106)	Prec@1 32.422 (26.799)	Prec@5 60.156 (55.037)
Epoch: [42][3930/7045]	Time 0.155 (0.249)	Data 0.103 (0.188)	Loss 3.0689 (3.2105)	Prec@1 27.344 (26.799)	Prec@5 55.078 (55.037)
Epoch: [42][3940/7045]	Time 0.102 (0.250)	Data 0.008 (0.188)	Loss 2.9711 (3.2105)	Prec@1 28.906 (26.799)	Prec@5 57.031 (55.041)
Epoch: [42][3950/7045]	Time 0.216 (0.249)	Data 0.165 (0.188)	Loss 3.1131 (3.2104)	Prec@1 31.641 (26.801)	Prec@5 58.594 (55.043)
Epoch: [42][3960/7045]	Time 0.107 (0.249)	Data 0.011 (0.188)	Loss 3.1161 (3.2103)	Prec@1 26.953 (26.802)	Prec@5 57.422 (55.046)
Epoch: [42][3970/7045]	Time 0.235 (0.249)	Data 0.184 (0.188)	Loss 3.3213 (3.2105)	Prec@1 23.438 (26.795)	Prec@5 52.344 (55.040)
Epoch: [42][3980/7045]	Time 0.107 (0.249)	Data 0.006 (0.188)	Loss 3.0175 (3.2105)	Prec@1 30.859 (26.797)	Prec@5 55.078 (55.040)
Epoch: [42][3990/7045]	Time 0.251 (0.249)	Data 0.200 (0.188)	Loss 3.3562 (3.2106)	Prec@1 26.953 (26.800)	Prec@5 51.172 (55.038)
Epoch: [42][4000/7045]	Time 0.106 (0.249)	Data 0.003 (0.188)	Loss 3.2066 (3.2105)	Prec@1 26.172 (26.801)	Prec@5 53.516 (55.040)
Epoch: [42][4010/7045]	Time 0.391 (0.249)	Data 0.338 (0.187)	Loss 3.2358 (3.2104)	Prec@1 25.000 (26.804)	Prec@5 55.469 (55.042)
Epoch: [42][4020/7045]	Time 0.109 (0.249)	Data 0.004 (0.187)	Loss 3.2559 (3.2104)	Prec@1 25.000 (26.805)	Prec@5 55.859 (55.039)
Epoch: [42][4030/7045]	Time 0.400 (0.249)	Data 0.349 (0.187)	Loss 3.2551 (3.2103)	Prec@1 26.562 (26.808)	Prec@5 55.078 (55.041)
Epoch: [42][4040/7045]	Time 0.101 (0.249)	Data 0.009 (0.187)	Loss 3.1179 (3.2103)	Prec@1 29.688 (26.810)	Prec@5 56.641 (55.041)
Epoch: [42][4050/7045]	Time 0.474 (0.249)	Data 0.423 (0.187)	Loss 3.1083 (3.2103)	Prec@1 31.250 (26.814)	Prec@5 57.422 (55.041)
Epoch: [42][4060/7045]	Time 0.101 (0.249)	Data 0.007 (0.187)	Loss 3.2638 (3.2103)	Prec@1 25.781 (26.812)	Prec@5 50.391 (55.039)
Epoch: [42][4070/7045]	Time 0.438 (0.249)	Data 0.386 (0.187)	Loss 3.3713 (3.2103)	Prec@1 28.125 (26.813)	Prec@5 50.781 (55.038)
Epoch: [42][4080/7045]	Time 0.111 (0.249)	Data 0.060 (0.187)	Loss 3.1749 (3.2102)	Prec@1 26.172 (26.815)	Prec@5 53.125 (55.038)
Epoch: [42][4090/7045]	Time 0.459 (0.249)	Data 0.407 (0.187)	Loss 3.1112 (3.2104)	Prec@1 26.172 (26.810)	Prec@5 55.078 (55.034)
Epoch: [42][4100/7045]	Time 0.190 (0.249)	Data 0.140 (0.187)	Loss 3.0658 (3.2104)	Prec@1 26.953 (26.812)	Prec@5 59.375 (55.032)
Epoch: [42][4110/7045]	Time 0.352 (0.249)	Data 0.302 (0.187)	Loss 3.3078 (3.2104)	Prec@1 24.609 (26.813)	Prec@5 53.125 (55.031)
Epoch: [42][4120/7045]	Time 0.198 (0.249)	Data 0.142 (0.187)	Loss 3.1040 (3.2104)	Prec@1 30.078 (26.811)	Prec@5 55.859 (55.030)
Epoch: [42][4130/7045]	Time 0.412 (0.249)	Data 0.360 (0.187)	Loss 3.2742 (3.2105)	Prec@1 24.609 (26.809)	Prec@5 53.516 (55.027)
Epoch: [42][4140/7045]	Time 0.167 (0.249)	Data 0.108 (0.187)	Loss 3.1948 (3.2104)	Prec@1 25.391 (26.811)	Prec@5 53.516 (55.031)
Epoch: [42][4150/7045]	Time 0.459 (0.249)	Data 0.406 (0.187)	Loss 2.9307 (3.2104)	Prec@1 29.297 (26.809)	Prec@5 59.375 (55.030)
Epoch: [42][4160/7045]	Time 0.133 (0.249)	Data 0.075 (0.187)	Loss 3.1451 (3.2104)	Prec@1 25.781 (26.808)	Prec@5 53.516 (55.026)
Epoch: [42][4170/7045]	Time 0.390 (0.249)	Data 0.338 (0.187)	Loss 3.3428 (3.2105)	Prec@1 25.781 (26.807)	Prec@5 51.953 (55.025)
Epoch: [42][4180/7045]	Time 0.233 (0.249)	Data 0.183 (0.187)	Loss 3.3742 (3.2107)	Prec@1 23.828 (26.806)	Prec@5 51.953 (55.023)
Epoch: [42][4190/7045]	Time 0.602 (0.249)	Data 0.544 (0.187)	Loss 3.3047 (3.2107)	Prec@1 23.828 (26.808)	Prec@5 53.906 (55.023)
Epoch: [42][4200/7045]	Time 0.183 (0.249)	Data 0.132 (0.187)	Loss 3.2247 (3.2107)	Prec@1 24.609 (26.805)	Prec@5 54.688 (55.022)
Epoch: [42][4210/7045]	Time 0.564 (0.249)	Data 0.514 (0.187)	Loss 3.2793 (3.2107)	Prec@1 27.734 (26.805)	Prec@5 53.125 (55.020)
Epoch: [42][4220/7045]	Time 0.181 (0.249)	Data 0.130 (0.187)	Loss 3.0395 (3.2107)	Prec@1 28.125 (26.808)	Prec@5 57.031 (55.019)
Epoch: [42][4230/7045]	Time 0.529 (0.249)	Data 0.477 (0.187)	Loss 3.1869 (3.2106)	Prec@1 26.562 (26.808)	Prec@5 60.938 (55.021)
Epoch: [42][4240/7045]	Time 0.240 (0.249)	Data 0.189 (0.187)	Loss 3.1241 (3.2104)	Prec@1 28.125 (26.808)	Prec@5 58.203 (55.024)
Epoch: [42][4250/7045]	Time 0.578 (0.249)	Data 0.526 (0.187)	Loss 3.4534 (3.2105)	Prec@1 21.094 (26.805)	Prec@5 49.219 (55.021)
Epoch: [42][4260/7045]	Time 0.190 (0.249)	Data 0.131 (0.187)	Loss 3.1973 (3.2106)	Prec@1 25.781 (26.805)	Prec@5 59.766 (55.020)
Epoch: [42][4270/7045]	Time 0.474 (0.249)	Data 0.421 (0.187)	Loss 3.1990 (3.2105)	Prec@1 24.219 (26.806)	Prec@5 57.031 (55.021)
Epoch: [42][4280/7045]	Time 0.337 (0.249)	Data 0.286 (0.187)	Loss 3.1924 (3.2106)	Prec@1 28.125 (26.805)	Prec@5 54.297 (55.019)
Epoch: [42][4290/7045]	Time 0.422 (0.249)	Data 0.372 (0.187)	Loss 3.2296 (3.2106)	Prec@1 28.516 (26.806)	Prec@5 55.078 (55.019)
Epoch: [42][4300/7045]	Time 0.334 (0.249)	Data 0.273 (0.187)	Loss 3.1889 (3.2107)	Prec@1 26.172 (26.805)	Prec@5 55.859 (55.017)
Epoch: [42][4310/7045]	Time 0.411 (0.249)	Data 0.360 (0.187)	Loss 3.1264 (3.2107)	Prec@1 29.688 (26.805)	Prec@5 57.812 (55.016)
Epoch: [42][4320/7045]	Time 0.304 (0.249)	Data 0.246 (0.187)	Loss 3.0560 (3.2106)	Prec@1 33.984 (26.805)	Prec@5 57.422 (55.019)
Epoch: [42][4330/7045]	Time 0.439 (0.249)	Data 0.388 (0.187)	Loss 3.3041 (3.2105)	Prec@1 27.734 (26.808)	Prec@5 50.391 (55.023)
Epoch: [42][4340/7045]	Time 0.254 (0.248)	Data 0.195 (0.186)	Loss 3.0826 (3.2103)	Prec@1 31.641 (26.814)	Prec@5 58.984 (55.029)
Epoch: [42][4350/7045]	Time 0.408 (0.248)	Data 0.352 (0.186)	Loss 3.2751 (3.2103)	Prec@1 22.266 (26.813)	Prec@5 52.734 (55.030)
Epoch: [42][4360/7045]	Time 0.276 (0.248)	Data 0.224 (0.186)	Loss 3.4344 (3.2103)	Prec@1 23.828 (26.812)	Prec@5 50.000 (55.031)
Epoch: [42][4370/7045]	Time 0.401 (0.248)	Data 0.350 (0.186)	Loss 3.1733 (3.2103)	Prec@1 27.734 (26.814)	Prec@5 52.344 (55.030)
Epoch: [42][4380/7045]	Time 0.143 (0.248)	Data 0.092 (0.186)	Loss 3.0651 (3.2103)	Prec@1 31.641 (26.818)	Prec@5 58.203 (55.028)
Epoch: [42][4390/7045]	Time 0.317 (0.248)	Data 0.266 (0.186)	Loss 3.2700 (3.2104)	Prec@1 24.609 (26.817)	Prec@5 53.516 (55.024)
Epoch: [42][4400/7045]	Time 0.101 (0.248)	Data 0.002 (0.186)	Loss 3.1452 (3.2104)	Prec@1 28.906 (26.817)	Prec@5 53.516 (55.023)
Epoch: [42][4410/7045]	Time 0.297 (0.248)	Data 0.245 (0.186)	Loss 3.2599 (3.2105)	Prec@1 26.562 (26.815)	Prec@5 58.594 (55.022)
Epoch: [42][4420/7045]	Time 0.102 (0.248)	Data 0.008 (0.186)	Loss 3.2853 (3.2107)	Prec@1 23.047 (26.812)	Prec@5 51.562 (55.018)
Epoch: [42][4430/7045]	Time 0.179 (0.248)	Data 0.128 (0.186)	Loss 3.2339 (3.2105)	Prec@1 25.781 (26.816)	Prec@5 56.641 (55.023)
Epoch: [42][4440/7045]	Time 0.102 (0.248)	Data 0.008 (0.186)	Loss 3.3449 (3.2103)	Prec@1 25.000 (26.817)	Prec@5 53.516 (55.026)
Epoch: [42][4450/7045]	Time 0.152 (0.248)	Data 0.097 (0.186)	Loss 3.2732 (3.2105)	Prec@1 25.781 (26.814)	Prec@5 53.906 (55.023)
Epoch: [42][4460/7045]	Time 0.102 (0.248)	Data 0.006 (0.186)	Loss 3.1530 (3.2105)	Prec@1 26.953 (26.814)	Prec@5 58.984 (55.025)
Epoch: [42][4470/7045]	Time 0.134 (0.248)	Data 0.082 (0.186)	Loss 3.2429 (3.2105)	Prec@1 28.516 (26.816)	Prec@5 57.031 (55.026)
Epoch: [42][4480/7045]	Time 0.102 (0.248)	Data 0.009 (0.186)	Loss 3.2805 (3.2106)	Prec@1 29.688 (26.815)	Prec@5 53.125 (55.025)
Epoch: [42][4490/7045]	Time 0.102 (0.248)	Data 0.005 (0.186)	Loss 3.2163 (3.2107)	Prec@1 28.516 (26.814)	Prec@5 55.859 (55.022)
Epoch: [42][4500/7045]	Time 0.102 (0.248)	Data 0.050 (0.186)	Loss 2.8836 (3.2106)	Prec@1 30.859 (26.814)	Prec@5 58.984 (55.022)
Epoch: [42][4510/7045]	Time 0.101 (0.248)	Data 0.047 (0.186)	Loss 3.1411 (3.2107)	Prec@1 28.516 (26.812)	Prec@5 60.938 (55.021)
Epoch: [42][4520/7045]	Time 0.101 (0.248)	Data 0.048 (0.186)	Loss 3.2315 (3.2107)	Prec@1 24.609 (26.813)	Prec@5 53.516 (55.020)
Epoch: [42][4530/7045]	Time 0.135 (0.248)	Data 0.083 (0.186)	Loss 3.0026 (3.2107)	Prec@1 28.125 (26.812)	Prec@5 58.984 (55.022)
Epoch: [42][4540/7045]	Time 0.128 (0.248)	Data 0.076 (0.186)	Loss 3.0947 (3.2105)	Prec@1 30.859 (26.818)	Prec@5 59.766 (55.027)
Epoch: [42][4550/7045]	Time 0.234 (0.248)	Data 0.182 (0.186)	Loss 3.1098 (3.2104)	Prec@1 29.688 (26.819)	Prec@5 57.812 (55.029)
Epoch: [42][4560/7045]	Time 0.155 (0.248)	Data 0.105 (0.186)	Loss 3.2092 (3.2104)	Prec@1 26.562 (26.818)	Prec@5 56.641 (55.029)
Epoch: [42][4570/7045]	Time 0.250 (0.248)	Data 0.198 (0.186)	Loss 3.0945 (3.2102)	Prec@1 31.250 (26.819)	Prec@5 56.641 (55.033)
Epoch: [42][4580/7045]	Time 0.282 (0.248)	Data 0.232 (0.186)	Loss 3.0131 (3.2101)	Prec@1 32.422 (26.823)	Prec@5 58.203 (55.039)
Epoch: [42][4590/7045]	Time 0.206 (0.248)	Data 0.154 (0.186)	Loss 3.1292 (3.2101)	Prec@1 27.734 (26.825)	Prec@5 58.984 (55.039)
Epoch: [42][4600/7045]	Time 0.281 (0.248)	Data 0.230 (0.186)	Loss 3.3664 (3.2101)	Prec@1 26.562 (26.826)	Prec@5 54.688 (55.037)
Epoch: [42][4610/7045]	Time 0.152 (0.248)	Data 0.103 (0.186)	Loss 3.1058 (3.2100)	Prec@1 26.562 (26.828)	Prec@5 55.859 (55.038)
Epoch: [42][4620/7045]	Time 0.280 (0.248)	Data 0.230 (0.186)	Loss 3.3048 (3.2100)	Prec@1 25.000 (26.829)	Prec@5 53.906 (55.039)
Epoch: [42][4630/7045]	Time 0.146 (0.248)	Data 0.095 (0.186)	Loss 3.2327 (3.2099)	Prec@1 27.344 (26.833)	Prec@5 53.516 (55.042)
Epoch: [42][4640/7045]	Time 0.287 (0.248)	Data 0.236 (0.186)	Loss 3.4195 (3.2098)	Prec@1 23.828 (26.833)	Prec@5 52.734 (55.044)
Epoch: [42][4650/7045]	Time 0.125 (0.248)	Data 0.073 (0.186)	Loss 3.2689 (3.2099)	Prec@1 25.391 (26.834)	Prec@5 55.859 (55.044)
Epoch: [42][4660/7045]	Time 0.279 (0.248)	Data 0.227 (0.186)	Loss 3.3388 (3.2100)	Prec@1 23.828 (26.832)	Prec@5 55.469 (55.042)
Epoch: [42][4670/7045]	Time 0.104 (0.248)	Data 0.052 (0.186)	Loss 3.2181 (3.2101)	Prec@1 25.781 (26.830)	Prec@5 53.516 (55.042)
Epoch: [42][4680/7045]	Time 0.279 (0.248)	Data 0.227 (0.186)	Loss 3.1674 (3.2101)	Prec@1 26.562 (26.827)	Prec@5 54.297 (55.040)
Epoch: [42][4690/7045]	Time 0.106 (0.248)	Data 0.054 (0.186)	Loss 3.2631 (3.2102)	Prec@1 27.344 (26.829)	Prec@5 54.297 (55.038)
Epoch: [42][4700/7045]	Time 0.332 (0.248)	Data 0.280 (0.186)	Loss 3.2959 (3.2102)	Prec@1 26.172 (26.829)	Prec@5 55.078 (55.038)
Epoch: [42][4710/7045]	Time 0.109 (0.248)	Data 0.007 (0.186)	Loss 3.2584 (3.2101)	Prec@1 26.172 (26.831)	Prec@5 56.250 (55.042)
Epoch: [42][4720/7045]	Time 0.325 (0.248)	Data 0.273 (0.186)	Loss 3.0325 (3.2100)	Prec@1 31.641 (26.834)	Prec@5 56.250 (55.043)
Epoch: [42][4730/7045]	Time 0.108 (0.248)	Data 0.002 (0.186)	Loss 3.1818 (3.2099)	Prec@1 21.094 (26.833)	Prec@5 57.812 (55.045)
Epoch: [42][4740/7045]	Time 0.336 (0.248)	Data 0.285 (0.186)	Loss 3.2624 (3.2100)	Prec@1 25.781 (26.832)	Prec@5 57.031 (55.044)
Epoch: [42][4750/7045]	Time 0.100 (0.248)	Data 0.007 (0.186)	Loss 3.1320 (3.2101)	Prec@1 28.125 (26.829)	Prec@5 56.641 (55.043)
Epoch: [42][4760/7045]	Time 0.312 (0.248)	Data 0.261 (0.186)	Loss 3.1756 (3.2102)	Prec@1 27.344 (26.828)	Prec@5 57.031 (55.041)
Epoch: [42][4770/7045]	Time 0.103 (0.248)	Data 0.006 (0.186)	Loss 3.1827 (3.2103)	Prec@1 26.953 (26.829)	Prec@5 56.250 (55.040)
Epoch: [42][4780/7045]	Time 0.235 (0.248)	Data 0.184 (0.186)	Loss 3.3296 (3.2103)	Prec@1 24.609 (26.830)	Prec@5 51.172 (55.039)
Epoch: [42][4790/7045]	Time 0.103 (0.248)	Data 0.007 (0.186)	Loss 3.2133 (3.2102)	Prec@1 28.906 (26.833)	Prec@5 54.297 (55.041)
Epoch: [42][4800/7045]	Time 0.320 (0.248)	Data 0.268 (0.186)	Loss 2.9916 (3.2102)	Prec@1 35.156 (26.835)	Prec@5 60.938 (55.038)
Epoch: [42][4810/7045]	Time 0.102 (0.247)	Data 0.001 (0.185)	Loss 3.1730 (3.2102)	Prec@1 23.828 (26.836)	Prec@5 55.859 (55.039)
Epoch: [42][4820/7045]	Time 0.370 (0.247)	Data 0.318 (0.186)	Loss 3.3406 (3.2101)	Prec@1 25.781 (26.839)	Prec@5 54.297 (55.041)
Epoch: [42][4830/7045]	Time 0.103 (0.247)	Data 0.005 (0.185)	Loss 2.8779 (3.2100)	Prec@1 31.641 (26.840)	Prec@5 63.672 (55.045)
Epoch: [42][4840/7045]	Time 0.295 (0.247)	Data 0.243 (0.185)	Loss 3.2576 (3.2100)	Prec@1 26.562 (26.841)	Prec@5 51.562 (55.045)
Epoch: [42][4850/7045]	Time 0.100 (0.247)	Data 0.047 (0.185)	Loss 3.0505 (3.2099)	Prec@1 28.906 (26.844)	Prec@5 56.641 (55.048)
Epoch: [42][4860/7045]	Time 0.296 (0.247)	Data 0.244 (0.185)	Loss 2.9513 (3.2098)	Prec@1 30.859 (26.847)	Prec@5 62.891 (55.050)
Epoch: [42][4870/7045]	Time 0.113 (0.247)	Data 0.062 (0.185)	Loss 3.1856 (3.2098)	Prec@1 24.219 (26.847)	Prec@5 54.688 (55.051)
Epoch: [42][4880/7045]	Time 0.343 (0.247)	Data 0.293 (0.185)	Loss 3.0692 (3.2096)	Prec@1 28.906 (26.852)	Prec@5 57.031 (55.056)
Epoch: [42][4890/7045]	Time 0.106 (0.247)	Data 0.054 (0.185)	Loss 3.2209 (3.2095)	Prec@1 24.609 (26.853)	Prec@5 53.125 (55.056)
Epoch: [42][4900/7045]	Time 0.354 (0.247)	Data 0.296 (0.185)	Loss 3.0717 (3.2094)	Prec@1 30.859 (26.852)	Prec@5 58.594 (55.057)
Epoch: [42][4910/7045]	Time 0.101 (0.247)	Data 0.003 (0.185)	Loss 3.2550 (3.2095)	Prec@1 27.344 (26.852)	Prec@5 58.594 (55.057)
Epoch: [42][4920/7045]	Time 0.338 (0.247)	Data 0.288 (0.185)	Loss 3.2617 (3.2095)	Prec@1 26.953 (26.852)	Prec@5 54.297 (55.059)
Epoch: [42][4930/7045]	Time 0.102 (0.247)	Data 0.004 (0.185)	Loss 3.2356 (3.2095)	Prec@1 29.297 (26.855)	Prec@5 53.516 (55.060)
Epoch: [42][4940/7045]	Time 0.242 (0.247)	Data 0.191 (0.185)	Loss 3.2614 (3.2094)	Prec@1 26.953 (26.855)	Prec@5 51.562 (55.060)
Epoch: [42][4950/7045]	Time 0.102 (0.247)	Data 0.008 (0.185)	Loss 3.1852 (3.2094)	Prec@1 27.344 (26.856)	Prec@5 57.031 (55.060)
Epoch: [42][4960/7045]	Time 0.134 (0.247)	Data 0.084 (0.185)	Loss 3.0193 (3.2094)	Prec@1 32.031 (26.857)	Prec@5 57.422 (55.059)
Epoch: [42][4970/7045]	Time 0.101 (0.247)	Data 0.046 (0.185)	Loss 3.4496 (3.2095)	Prec@1 23.438 (26.857)	Prec@5 48.047 (55.055)
Epoch: [42][4980/7045]	Time 0.102 (0.247)	Data 0.001 (0.185)	Loss 3.0639 (3.2094)	Prec@1 30.859 (26.856)	Prec@5 57.031 (55.058)
Epoch: [42][4990/7045]	Time 0.103 (0.247)	Data 0.051 (0.185)	Loss 3.3348 (3.2095)	Prec@1 24.219 (26.856)	Prec@5 53.516 (55.057)
Epoch: [42][5000/7045]	Time 0.102 (0.247)	Data 0.050 (0.185)	Loss 3.2152 (3.2094)	Prec@1 27.734 (26.860)	Prec@5 54.297 (55.057)
Epoch: [42][5010/7045]	Time 0.133 (0.247)	Data 0.082 (0.185)	Loss 3.3037 (3.2094)	Prec@1 25.391 (26.862)	Prec@5 53.906 (55.058)
Epoch: [42][5020/7045]	Time 0.142 (0.247)	Data 0.091 (0.185)	Loss 3.2891 (3.2094)	Prec@1 26.562 (26.864)	Prec@5 55.859 (55.061)
Epoch: [42][5030/7045]	Time 0.101 (0.247)	Data 0.006 (0.185)	Loss 3.0269 (3.2094)	Prec@1 30.859 (26.863)	Prec@5 57.422 (55.061)
Epoch: [42][5040/7045]	Time 0.102 (0.247)	Data 0.007 (0.185)	Loss 3.0625 (3.2093)	Prec@1 28.125 (26.863)	Prec@5 55.078 (55.060)
Epoch: [42][5050/7045]	Time 0.101 (0.247)	Data 0.001 (0.185)	Loss 3.0563 (3.2092)	Prec@1 24.219 (26.866)	Prec@5 57.031 (55.063)
Epoch: [42][5060/7045]	Time 0.134 (0.247)	Data 0.083 (0.185)	Loss 2.9686 (3.2092)	Prec@1 29.297 (26.865)	Prec@5 59.766 (55.064)
Epoch: [42][5070/7045]	Time 0.102 (0.247)	Data 0.047 (0.185)	Loss 3.1568 (3.2091)	Prec@1 26.172 (26.867)	Prec@5 54.297 (55.065)
Epoch: [42][5080/7045]	Time 0.293 (0.247)	Data 0.241 (0.185)	Loss 3.1553 (3.2091)	Prec@1 29.297 (26.865)	Prec@5 51.562 (55.062)
Epoch: [42][5090/7045]	Time 0.101 (0.247)	Data 0.001 (0.185)	Loss 3.4206 (3.2092)	Prec@1 26.562 (26.862)	Prec@5 51.562 (55.064)
Epoch: [42][5100/7045]	Time 0.329 (0.247)	Data 0.278 (0.185)	Loss 2.9387 (3.2091)	Prec@1 35.156 (26.864)	Prec@5 62.891 (55.063)
Epoch: [42][5110/7045]	Time 0.101 (0.247)	Data 0.049 (0.185)	Loss 3.3066 (3.2092)	Prec@1 26.953 (26.863)	Prec@5 55.078 (55.062)
Epoch: [42][5120/7045]	Time 0.298 (0.247)	Data 0.247 (0.185)	Loss 3.4183 (3.2091)	Prec@1 23.438 (26.865)	Prec@5 48.438 (55.064)
Epoch: [42][5130/7045]	Time 0.102 (0.247)	Data 0.050 (0.185)	Loss 2.9821 (3.2091)	Prec@1 30.469 (26.866)	Prec@5 61.719 (55.065)
Epoch: [42][5140/7045]	Time 0.313 (0.247)	Data 0.257 (0.185)	Loss 3.1943 (3.2091)	Prec@1 25.391 (26.866)	Prec@5 53.906 (55.068)
Epoch: [42][5150/7045]	Time 0.103 (0.247)	Data 0.051 (0.185)	Loss 3.1005 (3.2092)	Prec@1 28.516 (26.867)	Prec@5 56.250 (55.065)
Epoch: [42][5160/7045]	Time 0.350 (0.247)	Data 0.292 (0.185)	Loss 3.0947 (3.2092)	Prec@1 29.297 (26.867)	Prec@5 56.641 (55.066)
Epoch: [42][5170/7045]	Time 0.111 (0.247)	Data 0.060 (0.185)	Loss 3.2155 (3.2093)	Prec@1 26.172 (26.866)	Prec@5 52.344 (55.063)
Epoch: [42][5180/7045]	Time 0.347 (0.247)	Data 0.296 (0.185)	Loss 3.2096 (3.2095)	Prec@1 23.828 (26.864)	Prec@5 55.078 (55.061)
Epoch: [42][5190/7045]	Time 0.102 (0.247)	Data 0.002 (0.185)	Loss 3.0929 (3.2093)	Prec@1 30.078 (26.867)	Prec@5 57.812 (55.064)
Epoch: [42][5200/7045]	Time 0.503 (0.247)	Data 0.451 (0.185)	Loss 3.2016 (3.2093)	Prec@1 29.297 (26.867)	Prec@5 58.594 (55.065)
Epoch: [42][5210/7045]	Time 0.101 (0.247)	Data 0.049 (0.185)	Loss 3.1715 (3.2095)	Prec@1 26.172 (26.865)	Prec@5 60.156 (55.063)
Epoch: [42][5220/7045]	Time 0.545 (0.247)	Data 0.486 (0.185)	Loss 3.0391 (3.2094)	Prec@1 30.078 (26.866)	Prec@5 62.500 (55.066)
Epoch: [42][5230/7045]	Time 0.114 (0.247)	Data 0.061 (0.185)	Loss 3.1481 (3.2094)	Prec@1 30.469 (26.868)	Prec@5 57.031 (55.065)
Epoch: [42][5240/7045]	Time 0.539 (0.247)	Data 0.480 (0.185)	Loss 3.3344 (3.2093)	Prec@1 28.125 (26.867)	Prec@5 53.125 (55.066)
Epoch: [42][5250/7045]	Time 0.111 (0.247)	Data 0.059 (0.185)	Loss 3.2617 (3.2093)	Prec@1 26.172 (26.868)	Prec@5 52.344 (55.065)
Epoch: [42][5260/7045]	Time 0.532 (0.247)	Data 0.481 (0.185)	Loss 3.1315 (3.2093)	Prec@1 27.734 (26.867)	Prec@5 58.203 (55.066)
Epoch: [42][5270/7045]	Time 0.111 (0.247)	Data 0.053 (0.185)	Loss 3.1298 (3.2093)	Prec@1 29.297 (26.866)	Prec@5 59.375 (55.065)
Epoch: [42][5280/7045]	Time 0.493 (0.247)	Data 0.442 (0.185)	Loss 3.2856 (3.2094)	Prec@1 23.438 (26.864)	Prec@5 55.469 (55.063)
Epoch: [42][5290/7045]	Time 0.133 (0.247)	Data 0.074 (0.185)	Loss 3.2589 (3.2094)	Prec@1 24.609 (26.866)	Prec@5 53.125 (55.064)
Epoch: [42][5300/7045]	Time 0.518 (0.247)	Data 0.467 (0.185)	Loss 3.3258 (3.2094)	Prec@1 22.656 (26.864)	Prec@5 54.688 (55.062)
Epoch: [42][5310/7045]	Time 0.110 (0.247)	Data 0.047 (0.185)	Loss 3.2426 (3.2094)	Prec@1 26.172 (26.864)	Prec@5 50.781 (55.063)
Epoch: [42][5320/7045]	Time 0.449 (0.247)	Data 0.399 (0.185)	Loss 3.2455 (3.2093)	Prec@1 26.953 (26.865)	Prec@5 58.203 (55.064)
Epoch: [42][5330/7045]	Time 0.203 (0.247)	Data 0.153 (0.185)	Loss 3.1259 (3.2092)	Prec@1 28.906 (26.867)	Prec@5 58.203 (55.069)
Epoch: [42][5340/7045]	Time 0.464 (0.247)	Data 0.414 (0.185)	Loss 3.0291 (3.2093)	Prec@1 28.906 (26.866)	Prec@5 58.984 (55.067)
Epoch: [42][5350/7045]	Time 0.194 (0.247)	Data 0.143 (0.185)	Loss 3.2286 (3.2094)	Prec@1 28.125 (26.865)	Prec@5 54.688 (55.064)
Epoch: [42][5360/7045]	Time 0.509 (0.247)	Data 0.458 (0.185)	Loss 3.2486 (3.2093)	Prec@1 23.828 (26.866)	Prec@5 54.297 (55.066)
Epoch: [42][5370/7045]	Time 0.106 (0.247)	Data 0.054 (0.185)	Loss 2.9629 (3.2092)	Prec@1 29.297 (26.867)	Prec@5 61.719 (55.066)
Epoch: [42][5380/7045]	Time 0.523 (0.247)	Data 0.472 (0.185)	Loss 3.1755 (3.2092)	Prec@1 29.688 (26.866)	Prec@5 55.859 (55.068)
Epoch: [42][5390/7045]	Time 0.109 (0.247)	Data 0.057 (0.185)	Loss 2.9485 (3.2091)	Prec@1 35.547 (26.869)	Prec@5 60.547 (55.069)
Epoch: [42][5400/7045]	Time 0.410 (0.247)	Data 0.358 (0.185)	Loss 3.4528 (3.2091)	Prec@1 23.047 (26.868)	Prec@5 50.781 (55.069)
Epoch: [42][5410/7045]	Time 0.102 (0.247)	Data 0.005 (0.185)	Loss 3.2991 (3.2092)	Prec@1 24.609 (26.869)	Prec@5 54.688 (55.068)
Epoch: [42][5420/7045]	Time 0.414 (0.247)	Data 0.362 (0.185)	Loss 3.0594 (3.2091)	Prec@1 29.297 (26.870)	Prec@5 56.250 (55.068)
Epoch: [42][5430/7045]	Time 0.102 (0.246)	Data 0.005 (0.185)	Loss 3.1742 (3.2091)	Prec@1 27.344 (26.873)	Prec@5 52.734 (55.070)
Epoch: [42][5440/7045]	Time 0.380 (0.246)	Data 0.328 (0.185)	Loss 3.1965 (3.2092)	Prec@1 26.172 (26.871)	Prec@5 56.641 (55.070)
Epoch: [42][5450/7045]	Time 0.102 (0.246)	Data 0.002 (0.185)	Loss 2.9462 (3.2091)	Prec@1 32.031 (26.869)	Prec@5 61.328 (55.070)
Epoch: [42][5460/7045]	Time 0.404 (0.246)	Data 0.352 (0.185)	Loss 3.2148 (3.2091)	Prec@1 31.250 (26.872)	Prec@5 55.078 (55.071)
Epoch: [42][5470/7045]	Time 0.102 (0.246)	Data 0.001 (0.185)	Loss 3.2062 (3.2092)	Prec@1 26.172 (26.869)	Prec@5 55.469 (55.072)
Epoch: [42][5480/7045]	Time 0.320 (0.246)	Data 0.269 (0.185)	Loss 3.0826 (3.2090)	Prec@1 29.297 (26.871)	Prec@5 55.859 (55.076)
Epoch: [42][5490/7045]	Time 0.102 (0.246)	Data 0.003 (0.185)	Loss 3.2521 (3.2091)	Prec@1 27.734 (26.870)	Prec@5 53.906 (55.074)
Epoch: [42][5500/7045]	Time 0.337 (0.246)	Data 0.286 (0.185)	Loss 3.2441 (3.2090)	Prec@1 28.125 (26.870)	Prec@5 55.469 (55.076)
Epoch: [42][5510/7045]	Time 0.415 (0.246)	Data 0.359 (0.185)	Loss 3.1902 (3.2091)	Prec@1 25.781 (26.870)	Prec@5 57.422 (55.073)
Epoch: [42][5520/7045]	Time 0.102 (0.246)	Data 0.046 (0.185)	Loss 3.3019 (3.2092)	Prec@1 23.828 (26.868)	Prec@5 53.516 (55.071)
Epoch: [42][5530/7045]	Time 0.553 (0.246)	Data 0.502 (0.185)	Loss 3.4259 (3.2093)	Prec@1 21.484 (26.866)	Prec@5 52.734 (55.070)
Epoch: [42][5540/7045]	Time 0.111 (0.246)	Data 0.059 (0.185)	Loss 3.1223 (3.2093)	Prec@1 28.906 (26.866)	Prec@5 57.812 (55.068)
Epoch: [42][5550/7045]	Time 0.433 (0.246)	Data 0.381 (0.185)	Loss 3.3386 (3.2093)	Prec@1 25.391 (26.869)	Prec@5 51.172 (55.068)
Epoch: [42][5560/7045]	Time 0.131 (0.246)	Data 0.080 (0.185)	Loss 3.1678 (3.2093)	Prec@1 28.906 (26.866)	Prec@5 56.641 (55.070)
Epoch: [42][5570/7045]	Time 0.349 (0.246)	Data 0.291 (0.185)	Loss 3.2437 (3.2093)	Prec@1 26.562 (26.864)	Prec@5 56.641 (55.070)
Epoch: [42][5580/7045]	Time 0.141 (0.246)	Data 0.089 (0.185)	Loss 3.1954 (3.2092)	Prec@1 26.562 (26.866)	Prec@5 57.812 (55.074)
Epoch: [42][5590/7045]	Time 0.109 (0.246)	Data 0.007 (0.185)	Loss 3.2516 (3.2092)	Prec@1 24.219 (26.868)	Prec@5 55.859 (55.075)
Epoch: [42][5600/7045]	Time 0.102 (0.246)	Data 0.001 (0.185)	Loss 3.0491 (3.2092)	Prec@1 29.688 (26.867)	Prec@5 55.469 (55.075)
Epoch: [42][5610/7045]	Time 0.110 (0.246)	Data 0.004 (0.185)	Loss 3.0937 (3.2090)	Prec@1 27.734 (26.870)	Prec@5 58.594 (55.076)
Epoch: [42][5620/7045]	Time 0.105 (0.246)	Data 0.053 (0.185)	Loss 3.2489 (3.2090)	Prec@1 24.609 (26.869)	Prec@5 50.781 (55.076)
Epoch: [42][5630/7045]	Time 0.109 (0.246)	Data 0.005 (0.185)	Loss 3.1374 (3.2089)	Prec@1 28.906 (26.873)	Prec@5 57.422 (55.078)
Epoch: [42][5640/7045]	Time 0.316 (0.246)	Data 0.264 (0.185)	Loss 3.1193 (3.2088)	Prec@1 28.516 (26.875)	Prec@5 55.859 (55.082)
Epoch: [42][5650/7045]	Time 0.108 (0.246)	Data 0.006 (0.184)	Loss 2.9530 (3.2087)	Prec@1 28.516 (26.878)	Prec@5 58.984 (55.085)
Epoch: [42][5660/7045]	Time 0.524 (0.246)	Data 0.472 (0.185)	Loss 3.1814 (3.2086)	Prec@1 24.219 (26.879)	Prec@5 54.297 (55.085)
Epoch: [42][5670/7045]	Time 0.102 (0.246)	Data 0.001 (0.184)	Loss 3.6631 (3.2087)	Prec@1 17.969 (26.877)	Prec@5 44.922 (55.080)
Epoch: [42][5680/7045]	Time 0.644 (0.246)	Data 0.593 (0.184)	Loss 3.3757 (3.2088)	Prec@1 24.219 (26.877)	Prec@5 52.344 (55.079)
Epoch: [42][5690/7045]	Time 0.108 (0.246)	Data 0.001 (0.184)	Loss 3.1526 (3.2087)	Prec@1 27.344 (26.878)	Prec@5 56.250 (55.082)
Epoch: [42][5700/7045]	Time 0.577 (0.246)	Data 0.526 (0.184)	Loss 3.3594 (3.2086)	Prec@1 25.391 (26.880)	Prec@5 51.562 (55.084)
Epoch: [42][5710/7045]	Time 0.102 (0.246)	Data 0.001 (0.184)	Loss 3.2500 (3.2086)	Prec@1 26.172 (26.880)	Prec@5 55.078 (55.083)
Epoch: [42][5720/7045]	Time 0.263 (0.246)	Data 0.212 (0.184)	Loss 3.2326 (3.2085)	Prec@1 26.172 (26.881)	Prec@5 53.906 (55.084)
Epoch: [42][5730/7045]	Time 0.102 (0.246)	Data 0.001 (0.184)	Loss 3.3573 (3.2083)	Prec@1 25.391 (26.885)	Prec@5 50.000 (55.087)
Epoch: [42][5740/7045]	Time 0.101 (0.246)	Data 0.001 (0.184)	Loss 3.2625 (3.2083)	Prec@1 25.781 (26.885)	Prec@5 53.516 (55.088)
Epoch: [42][5750/7045]	Time 0.102 (0.246)	Data 0.001 (0.184)	Loss 3.2419 (3.2083)	Prec@1 26.953 (26.886)	Prec@5 54.297 (55.090)
Epoch: [42][5760/7045]	Time 0.102 (0.246)	Data 0.001 (0.184)	Loss 3.0462 (3.2082)	Prec@1 34.375 (26.889)	Prec@5 57.812 (55.090)
Epoch: [42][5770/7045]	Time 0.306 (0.246)	Data 0.254 (0.184)	Loss 3.1896 (3.2081)	Prec@1 30.469 (26.892)	Prec@5 55.469 (55.093)
Epoch: [42][5780/7045]	Time 0.109 (0.246)	Data 0.008 (0.184)	Loss 3.4321 (3.2081)	Prec@1 25.391 (26.893)	Prec@5 51.172 (55.093)
Epoch: [42][5790/7045]	Time 0.463 (0.246)	Data 0.411 (0.184)	Loss 3.1888 (3.2080)	Prec@1 30.078 (26.895)	Prec@5 55.078 (55.094)
Epoch: [42][5800/7045]	Time 0.109 (0.246)	Data 0.045 (0.184)	Loss 3.0944 (3.2080)	Prec@1 26.562 (26.893)	Prec@5 55.469 (55.093)
Epoch: [42][5810/7045]	Time 0.484 (0.246)	Data 0.434 (0.184)	Loss 3.1886 (3.2082)	Prec@1 24.609 (26.889)	Prec@5 55.469 (55.092)
Epoch: [42][5820/7045]	Time 0.108 (0.246)	Data 0.005 (0.184)	Loss 3.0090 (3.2081)	Prec@1 28.906 (26.890)	Prec@5 56.641 (55.091)
Epoch: [42][5830/7045]	Time 0.522 (0.246)	Data 0.471 (0.184)	Loss 3.2249 (3.2082)	Prec@1 23.438 (26.890)	Prec@5 53.906 (55.088)
Epoch: [42][5840/7045]	Time 0.107 (0.246)	Data 0.004 (0.184)	Loss 3.3618 (3.2082)	Prec@1 25.391 (26.890)	Prec@5 53.906 (55.088)
Epoch: [42][5850/7045]	Time 0.630 (0.246)	Data 0.579 (0.184)	Loss 2.9908 (3.2080)	Prec@1 31.250 (26.893)	Prec@5 62.109 (55.092)
Epoch: [42][5860/7045]	Time 0.114 (0.246)	Data 0.055 (0.184)	Loss 3.2396 (3.2080)	Prec@1 24.609 (26.894)	Prec@5 52.344 (55.091)
Epoch: [42][5870/7045]	Time 0.632 (0.246)	Data 0.580 (0.184)	Loss 3.1506 (3.2080)	Prec@1 29.297 (26.896)	Prec@5 57.422 (55.092)
Epoch: [42][5880/7045]	Time 0.118 (0.246)	Data 0.059 (0.184)	Loss 3.1278 (3.2080)	Prec@1 27.734 (26.894)	Prec@5 58.594 (55.091)
Epoch: [42][5890/7045]	Time 0.600 (0.246)	Data 0.549 (0.184)	Loss 3.0860 (3.2079)	Prec@1 27.344 (26.892)	Prec@5 59.375 (55.094)
Epoch: [42][5900/7045]	Time 0.112 (0.246)	Data 0.059 (0.184)	Loss 3.0099 (3.2077)	Prec@1 31.250 (26.895)	Prec@5 62.109 (55.097)
Epoch: [42][5910/7045]	Time 0.558 (0.246)	Data 0.506 (0.184)	Loss 3.0910 (3.2075)	Prec@1 26.953 (26.899)	Prec@5 58.594 (55.100)
Epoch: [42][5920/7045]	Time 0.110 (0.246)	Data 0.001 (0.184)	Loss 3.2003 (3.2075)	Prec@1 26.172 (26.900)	Prec@5 57.422 (55.101)
Epoch: [42][5930/7045]	Time 0.459 (0.246)	Data 0.407 (0.184)	Loss 3.0224 (3.2074)	Prec@1 28.125 (26.901)	Prec@5 60.156 (55.102)
Epoch: [42][5940/7045]	Time 0.102 (0.246)	Data 0.007 (0.184)	Loss 3.2677 (3.2074)	Prec@1 25.000 (26.899)	Prec@5 52.344 (55.101)
Epoch: [42][5950/7045]	Time 0.434 (0.246)	Data 0.383 (0.184)	Loss 3.2057 (3.2074)	Prec@1 25.781 (26.900)	Prec@5 57.422 (55.101)
Epoch: [42][5960/7045]	Time 0.101 (0.246)	Data 0.047 (0.184)	Loss 3.0732 (3.2075)	Prec@1 27.734 (26.899)	Prec@5 56.250 (55.098)
Epoch: [42][5970/7045]	Time 0.394 (0.246)	Data 0.342 (0.184)	Loss 3.2426 (3.2074)	Prec@1 31.641 (26.902)	Prec@5 55.469 (55.101)
Epoch: [42][5980/7045]	Time 0.102 (0.246)	Data 0.004 (0.184)	Loss 3.2884 (3.2074)	Prec@1 25.391 (26.904)	Prec@5 54.688 (55.100)
Epoch: [42][5990/7045]	Time 0.352 (0.246)	Data 0.299 (0.184)	Loss 3.1469 (3.2074)	Prec@1 25.391 (26.902)	Prec@5 58.203 (55.101)
Epoch: [42][6000/7045]	Time 0.123 (0.246)	Data 0.071 (0.184)	Loss 3.3098 (3.2074)	Prec@1 24.219 (26.901)	Prec@5 54.297 (55.101)
Epoch: [42][6010/7045]	Time 0.307 (0.246)	Data 0.257 (0.184)	Loss 3.2851 (3.2073)	Prec@1 23.438 (26.901)	Prec@5 50.391 (55.101)
Epoch: [42][6020/7045]	Time 0.108 (0.246)	Data 0.056 (0.184)	Loss 3.1592 (3.2073)	Prec@1 27.344 (26.901)	Prec@5 55.859 (55.102)
Epoch: [42][6030/7045]	Time 0.300 (0.246)	Data 0.248 (0.184)	Loss 3.1921 (3.2073)	Prec@1 28.125 (26.903)	Prec@5 53.516 (55.103)
Epoch: [42][6040/7045]	Time 0.108 (0.246)	Data 0.001 (0.184)	Loss 3.0224 (3.2074)	Prec@1 31.250 (26.902)	Prec@5 58.203 (55.101)
Epoch: [42][6050/7045]	Time 0.132 (0.246)	Data 0.082 (0.184)	Loss 3.1823 (3.2074)	Prec@1 27.734 (26.902)	Prec@5 55.078 (55.100)
Epoch: [42][6060/7045]	Time 0.101 (0.246)	Data 0.010 (0.184)	Loss 3.3299 (3.2074)	Prec@1 23.828 (26.901)	Prec@5 51.953 (55.097)
Epoch: [42][6070/7045]	Time 0.101 (0.246)	Data 0.003 (0.184)	Loss 3.3441 (3.2074)	Prec@1 21.875 (26.902)	Prec@5 55.469 (55.099)
Epoch: [42][6080/7045]	Time 0.109 (0.246)	Data 0.001 (0.184)	Loss 3.0593 (3.2074)	Prec@1 27.734 (26.903)	Prec@5 56.250 (55.098)
Epoch: [42][6090/7045]	Time 0.219 (0.246)	Data 0.168 (0.184)	Loss 3.2365 (3.2074)	Prec@1 26.172 (26.902)	Prec@5 52.734 (55.098)
Epoch: [42][6100/7045]	Time 0.107 (0.246)	Data 0.001 (0.184)	Loss 3.3879 (3.2074)	Prec@1 21.484 (26.901)	Prec@5 50.781 (55.098)
Epoch: [42][6110/7045]	Time 0.464 (0.246)	Data 0.413 (0.184)	Loss 3.2753 (3.2074)	Prec@1 26.562 (26.902)	Prec@5 55.469 (55.099)
Epoch: [42][6120/7045]	Time 0.169 (0.246)	Data 0.110 (0.184)	Loss 3.0673 (3.2073)	Prec@1 30.078 (26.904)	Prec@5 57.031 (55.099)
Epoch: [42][6130/7045]	Time 0.667 (0.246)	Data 0.609 (0.184)	Loss 3.1023 (3.2073)	Prec@1 29.297 (26.904)	Prec@5 57.812 (55.098)
Epoch: [42][6140/7045]	Time 0.103 (0.246)	Data 0.001 (0.184)	Loss 2.9819 (3.2074)	Prec@1 33.203 (26.905)	Prec@5 60.547 (55.097)
Epoch: [42][6150/7045]	Time 0.585 (0.246)	Data 0.527 (0.184)	Loss 3.2689 (3.2074)	Prec@1 26.562 (26.906)	Prec@5 55.469 (55.097)
Epoch: [42][6160/7045]	Time 0.138 (0.246)	Data 0.087 (0.184)	Loss 3.1871 (3.2074)	Prec@1 27.734 (26.907)	Prec@5 53.906 (55.096)
Epoch: [42][6170/7045]	Time 0.509 (0.246)	Data 0.457 (0.184)	Loss 3.3950 (3.2075)	Prec@1 23.828 (26.906)	Prec@5 54.688 (55.096)
Epoch: [42][6180/7045]	Time 0.132 (0.246)	Data 0.081 (0.184)	Loss 3.3120 (3.2075)	Prec@1 24.609 (26.908)	Prec@5 55.469 (55.099)
Epoch: [42][6190/7045]	Time 0.256 (0.246)	Data 0.204 (0.184)	Loss 3.2167 (3.2075)	Prec@1 26.562 (26.908)	Prec@5 56.641 (55.098)
Epoch: [42][6200/7045]	Time 0.122 (0.246)	Data 0.070 (0.184)	Loss 3.3583 (3.2076)	Prec@1 25.781 (26.908)	Prec@5 53.516 (55.098)
Epoch: [42][6210/7045]	Time 0.104 (0.246)	Data 0.052 (0.184)	Loss 3.4380 (3.2076)	Prec@1 24.609 (26.910)	Prec@5 46.875 (55.097)
Epoch: [42][6220/7045]	Time 0.102 (0.246)	Data 0.003 (0.184)	Loss 3.1176 (3.2077)	Prec@1 31.250 (26.908)	Prec@5 56.250 (55.095)
Epoch: [42][6230/7045]	Time 0.101 (0.246)	Data 0.008 (0.184)	Loss 3.2736 (3.2076)	Prec@1 30.469 (26.909)	Prec@5 51.953 (55.095)
Epoch: [42][6240/7045]	Time 0.102 (0.246)	Data 0.001 (0.183)	Loss 3.3528 (3.2075)	Prec@1 26.562 (26.909)	Prec@5 50.391 (55.096)
Epoch: [42][6250/7045]	Time 0.358 (0.246)	Data 0.307 (0.184)	Loss 2.9794 (3.2075)	Prec@1 31.250 (26.910)	Prec@5 56.250 (55.095)
Epoch: [42][6260/7045]	Time 0.102 (0.246)	Data 0.001 (0.183)	Loss 3.1892 (3.2074)	Prec@1 29.688 (26.911)	Prec@5 53.516 (55.097)
Epoch: [42][6270/7045]	Time 0.302 (0.246)	Data 0.251 (0.183)	Loss 3.3593 (3.2075)	Prec@1 21.484 (26.911)	Prec@5 50.391 (55.096)
Epoch: [42][6280/7045]	Time 0.168 (0.246)	Data 0.118 (0.183)	Loss 3.2408 (3.2075)	Prec@1 24.219 (26.910)	Prec@5 52.344 (55.094)
Epoch: [42][6290/7045]	Time 0.194 (0.246)	Data 0.142 (0.183)	Loss 3.0288 (3.2074)	Prec@1 30.078 (26.912)	Prec@5 57.812 (55.095)
Epoch: [42][6300/7045]	Time 0.293 (0.246)	Data 0.242 (0.183)	Loss 3.1730 (3.2073)	Prec@1 30.078 (26.913)	Prec@5 56.641 (55.097)
Epoch: [42][6310/7045]	Time 0.106 (0.246)	Data 0.005 (0.183)	Loss 3.3574 (3.2073)	Prec@1 27.344 (26.915)	Prec@5 50.781 (55.098)
Epoch: [42][6320/7045]	Time 0.242 (0.246)	Data 0.190 (0.183)	Loss 3.2800 (3.2072)	Prec@1 27.344 (26.916)	Prec@5 51.953 (55.100)
Epoch: [42][6330/7045]	Time 0.108 (0.246)	Data 0.007 (0.183)	Loss 3.4012 (3.2072)	Prec@1 24.609 (26.916)	Prec@5 51.172 (55.100)
Epoch: [42][6340/7045]	Time 0.243 (0.246)	Data 0.191 (0.183)	Loss 3.1603 (3.2072)	Prec@1 28.906 (26.915)	Prec@5 57.422 (55.100)
Epoch: [42][6350/7045]	Time 0.101 (0.246)	Data 0.003 (0.183)	Loss 3.0796 (3.2071)	Prec@1 27.734 (26.918)	Prec@5 58.203 (55.103)
Epoch: [42][6360/7045]	Time 0.182 (0.246)	Data 0.132 (0.183)	Loss 3.2230 (3.2070)	Prec@1 25.391 (26.918)	Prec@5 54.297 (55.104)
Epoch: [42][6370/7045]	Time 0.102 (0.246)	Data 0.006 (0.183)	Loss 3.0824 (3.2069)	Prec@1 26.562 (26.921)	Prec@5 60.156 (55.107)
Epoch: [42][6380/7045]	Time 0.167 (0.246)	Data 0.115 (0.183)	Loss 3.2715 (3.2069)	Prec@1 27.734 (26.919)	Prec@5 55.859 (55.106)
Epoch: [42][6390/7045]	Time 0.110 (0.246)	Data 0.059 (0.183)	Loss 3.3877 (3.2069)	Prec@1 24.219 (26.918)	Prec@5 48.828 (55.104)
Epoch: [42][6400/7045]	Time 0.101 (0.246)	Data 0.047 (0.183)	Loss 3.0699 (3.2068)	Prec@1 30.469 (26.920)	Prec@5 60.156 (55.106)
Epoch: [42][6410/7045]	Time 0.160 (0.246)	Data 0.110 (0.183)	Loss 3.2736 (3.2068)	Prec@1 25.391 (26.919)	Prec@5 55.469 (55.107)
Epoch: [42][6420/7045]	Time 0.102 (0.245)	Data 0.002 (0.183)	Loss 3.1879 (3.2068)	Prec@1 24.219 (26.921)	Prec@5 54.688 (55.110)
Epoch: [42][6430/7045]	Time 0.253 (0.246)	Data 0.202 (0.183)	Loss 3.2699 (3.2068)	Prec@1 26.953 (26.919)	Prec@5 55.469 (55.109)
Epoch: [42][6440/7045]	Time 0.103 (0.245)	Data 0.003 (0.183)	Loss 3.2672 (3.2068)	Prec@1 29.297 (26.919)	Prec@5 52.734 (55.111)
Epoch: [42][6450/7045]	Time 0.347 (0.245)	Data 0.296 (0.183)	Loss 3.1384 (3.2068)	Prec@1 27.734 (26.920)	Prec@5 55.859 (55.110)
Epoch: [42][6460/7045]	Time 0.101 (0.245)	Data 0.007 (0.183)	Loss 3.0367 (3.2068)	Prec@1 30.469 (26.920)	Prec@5 57.812 (55.112)
Epoch: [42][6470/7045]	Time 0.362 (0.245)	Data 0.311 (0.183)	Loss 3.0211 (3.2069)	Prec@1 32.422 (26.919)	Prec@5 55.859 (55.108)
Epoch: [42][6480/7045]	Time 0.101 (0.245)	Data 0.003 (0.183)	Loss 3.2240 (3.2069)	Prec@1 28.516 (26.918)	Prec@5 53.125 (55.108)
Epoch: [42][6490/7045]	Time 0.390 (0.245)	Data 0.338 (0.183)	Loss 3.4178 (3.2069)	Prec@1 25.000 (26.919)	Prec@5 53.516 (55.111)
Epoch: [42][6500/7045]	Time 0.132 (0.245)	Data 0.081 (0.183)	Loss 3.1064 (3.2067)	Prec@1 28.125 (26.922)	Prec@5 54.688 (55.114)
Epoch: [42][6510/7045]	Time 0.488 (0.245)	Data 0.437 (0.183)	Loss 3.0024 (3.2068)	Prec@1 32.812 (26.922)	Prec@5 59.375 (55.114)
Epoch: [42][6520/7045]	Time 0.238 (0.245)	Data 0.188 (0.183)	Loss 3.2132 (3.2067)	Prec@1 29.297 (26.923)	Prec@5 54.688 (55.116)
Epoch: [42][6530/7045]	Time 0.450 (0.245)	Data 0.392 (0.183)	Loss 3.1455 (3.2066)	Prec@1 25.000 (26.923)	Prec@5 55.469 (55.117)
Epoch: [42][6540/7045]	Time 0.322 (0.245)	Data 0.269 (0.183)	Loss 3.1812 (3.2065)	Prec@1 27.344 (26.923)	Prec@5 55.469 (55.118)
Epoch: [42][6550/7045]	Time 0.409 (0.245)	Data 0.358 (0.183)	Loss 3.2273 (3.2065)	Prec@1 28.516 (26.925)	Prec@5 56.250 (55.120)
Epoch: [42][6560/7045]	Time 0.308 (0.245)	Data 0.257 (0.183)	Loss 3.0993 (3.2065)	Prec@1 30.469 (26.924)	Prec@5 55.859 (55.119)
Epoch: [42][6570/7045]	Time 0.441 (0.245)	Data 0.392 (0.183)	Loss 3.1816 (3.2065)	Prec@1 25.781 (26.926)	Prec@5 55.469 (55.120)
Epoch: [42][6580/7045]	Time 0.331 (0.245)	Data 0.279 (0.183)	Loss 3.4938 (3.2064)	Prec@1 21.094 (26.925)	Prec@5 45.703 (55.120)
Epoch: [42][6590/7045]	Time 0.425 (0.245)	Data 0.373 (0.183)	Loss 3.2737 (3.2065)	Prec@1 26.953 (26.926)	Prec@5 53.125 (55.118)
Epoch: [42][6600/7045]	Time 0.247 (0.245)	Data 0.196 (0.183)	Loss 3.1654 (3.2066)	Prec@1 30.859 (26.927)	Prec@5 57.812 (55.116)
Epoch: [42][6610/7045]	Time 0.454 (0.245)	Data 0.403 (0.183)	Loss 3.1674 (3.2067)	Prec@1 26.172 (26.927)	Prec@5 55.469 (55.113)
Epoch: [42][6620/7045]	Time 0.257 (0.245)	Data 0.205 (0.183)	Loss 3.5151 (3.2066)	Prec@1 21.875 (26.928)	Prec@5 48.438 (55.115)
Epoch: [42][6630/7045]	Time 0.464 (0.245)	Data 0.414 (0.183)	Loss 3.0509 (3.2066)	Prec@1 29.688 (26.928)	Prec@5 58.984 (55.113)
Epoch: [42][6640/7045]	Time 0.153 (0.245)	Data 0.095 (0.183)	Loss 3.3668 (3.2066)	Prec@1 23.438 (26.930)	Prec@5 51.562 (55.114)
Epoch: [42][6650/7045]	Time 0.503 (0.245)	Data 0.451 (0.183)	Loss 3.1550 (3.2064)	Prec@1 27.734 (26.934)	Prec@5 55.859 (55.116)
Epoch: [42][6660/7045]	Time 0.109 (0.245)	Data 0.009 (0.183)	Loss 3.0622 (3.2064)	Prec@1 28.125 (26.934)	Prec@5 58.203 (55.116)
Epoch: [42][6670/7045]	Time 0.465 (0.245)	Data 0.414 (0.183)	Loss 3.1461 (3.2063)	Prec@1 31.250 (26.936)	Prec@5 54.688 (55.116)
Epoch: [42][6680/7045]	Time 0.108 (0.245)	Data 0.005 (0.183)	Loss 3.5443 (3.2063)	Prec@1 19.141 (26.935)	Prec@5 52.344 (55.116)
Epoch: [42][6690/7045]	Time 0.372 (0.245)	Data 0.321 (0.183)	Loss 3.0767 (3.2062)	Prec@1 26.562 (26.936)	Prec@5 60.156 (55.118)
Epoch: [42][6700/7045]	Time 0.102 (0.245)	Data 0.001 (0.183)	Loss 3.2627 (3.2061)	Prec@1 26.562 (26.937)	Prec@5 51.953 (55.118)
Epoch: [42][6710/7045]	Time 0.102 (0.245)	Data 0.002 (0.183)	Loss 3.1543 (3.2060)	Prec@1 27.344 (26.935)	Prec@5 57.422 (55.122)
Epoch: [42][6720/7045]	Time 0.102 (0.245)	Data 0.001 (0.183)	Loss 3.2318 (3.2060)	Prec@1 25.391 (26.935)	Prec@5 55.469 (55.123)
Epoch: [42][6730/7045]	Time 0.327 (0.245)	Data 0.276 (0.183)	Loss 3.1365 (3.2059)	Prec@1 26.172 (26.936)	Prec@5 56.250 (55.126)
Epoch: [42][6740/7045]	Time 0.103 (0.245)	Data 0.001 (0.183)	Loss 3.2963 (3.2060)	Prec@1 27.734 (26.936)	Prec@5 52.344 (55.123)
Epoch: [42][6750/7045]	Time 0.439 (0.245)	Data 0.386 (0.183)	Loss 3.1224 (3.2060)	Prec@1 27.344 (26.935)	Prec@5 56.250 (55.121)
Epoch: [42][6760/7045]	Time 0.111 (0.245)	Data 0.060 (0.183)	Loss 3.3686 (3.2061)	Prec@1 26.562 (26.933)	Prec@5 51.953 (55.121)
Epoch: [42][6770/7045]	Time 0.392 (0.245)	Data 0.334 (0.183)	Loss 3.1640 (3.2061)	Prec@1 29.688 (26.933)	Prec@5 53.906 (55.121)
Epoch: [42][6780/7045]	Time 0.356 (0.245)	Data 0.298 (0.183)	Loss 3.2533 (3.2062)	Prec@1 26.562 (26.931)	Prec@5 54.688 (55.121)
Epoch: [42][6790/7045]	Time 0.309 (0.245)	Data 0.251 (0.183)	Loss 3.1427 (3.2062)	Prec@1 26.953 (26.931)	Prec@5 54.688 (55.120)
Epoch: [42][6800/7045]	Time 0.437 (0.245)	Data 0.387 (0.183)	Loss 3.2182 (3.2062)	Prec@1 23.828 (26.929)	Prec@5 52.344 (55.120)
Epoch: [42][6810/7045]	Time 0.157 (0.245)	Data 0.105 (0.183)	Loss 3.1728 (3.2062)	Prec@1 26.172 (26.927)	Prec@5 57.812 (55.121)
Epoch: [42][6820/7045]	Time 0.333 (0.245)	Data 0.282 (0.183)	Loss 3.2594 (3.2062)	Prec@1 21.875 (26.927)	Prec@5 53.516 (55.118)
Epoch: [42][6830/7045]	Time 0.108 (0.245)	Data 0.056 (0.183)	Loss 2.8664 (3.2062)	Prec@1 32.031 (26.927)	Prec@5 59.375 (55.120)
Epoch: [42][6840/7045]	Time 0.282 (0.245)	Data 0.232 (0.183)	Loss 2.9918 (3.2062)	Prec@1 31.250 (26.927)	Prec@5 59.375 (55.118)
Epoch: [42][6850/7045]	Time 0.341 (0.245)	Data 0.289 (0.183)	Loss 3.0118 (3.2061)	Prec@1 28.516 (26.928)	Prec@5 55.859 (55.120)
Epoch: [42][6860/7045]	Time 0.150 (0.245)	Data 0.098 (0.183)	Loss 3.2009 (3.2060)	Prec@1 24.219 (26.929)	Prec@5 54.688 (55.122)
Epoch: [42][6870/7045]	Time 0.334 (0.245)	Data 0.283 (0.183)	Loss 3.3530 (3.2060)	Prec@1 25.391 (26.930)	Prec@5 50.391 (55.122)
Epoch: [42][6880/7045]	Time 0.102 (0.245)	Data 0.001 (0.183)	Loss 3.0550 (3.2061)	Prec@1 31.641 (26.930)	Prec@5 57.422 (55.121)
Epoch: [42][6890/7045]	Time 0.375 (0.245)	Data 0.324 (0.183)	Loss 3.2364 (3.2061)	Prec@1 21.875 (26.928)	Prec@5 52.734 (55.120)
Epoch: [42][6900/7045]	Time 0.232 (0.245)	Data 0.174 (0.183)	Loss 3.2467 (3.2061)	Prec@1 25.000 (26.926)	Prec@5 53.906 (55.118)
Epoch: [42][6910/7045]	Time 0.281 (0.245)	Data 0.231 (0.183)	Loss 3.2807 (3.2062)	Prec@1 27.734 (26.924)	Prec@5 55.078 (55.116)
Epoch: [42][6920/7045]	Time 0.292 (0.245)	Data 0.240 (0.183)	Loss 3.2633 (3.2062)	Prec@1 30.078 (26.925)	Prec@5 57.031 (55.119)
Epoch: [42][6930/7045]	Time 0.192 (0.245)	Data 0.141 (0.183)	Loss 2.9139 (3.2061)	Prec@1 32.422 (26.928)	Prec@5 60.547 (55.118)
Epoch: [42][6940/7045]	Time 0.276 (0.245)	Data 0.226 (0.183)	Loss 3.1874 (3.2061)	Prec@1 23.828 (26.926)	Prec@5 60.547 (55.120)
Epoch: [42][6950/7045]	Time 0.102 (0.245)	Data 0.001 (0.183)	Loss 3.1531 (3.2062)	Prec@1 24.609 (26.925)	Prec@5 57.422 (55.120)
Epoch: [42][6960/7045]	Time 0.190 (0.245)	Data 0.139 (0.183)	Loss 3.2998 (3.2062)	Prec@1 25.000 (26.925)	Prec@5 58.984 (55.121)
Epoch: [42][6970/7045]	Time 0.135 (0.245)	Data 0.084 (0.183)	Loss 3.1341 (3.2062)	Prec@1 29.297 (26.927)	Prec@5 57.031 (55.120)
Epoch: [42][6980/7045]	Time 0.109 (0.245)	Data 0.056 (0.183)	Loss 3.3886 (3.2062)	Prec@1 27.344 (26.926)	Prec@5 50.000 (55.121)
Epoch: [42][6990/7045]	Time 0.101 (0.245)	Data 0.007 (0.183)	Loss 3.0252 (3.2061)	Prec@1 29.688 (26.928)	Prec@5 58.203 (55.122)
Epoch: [42][7000/7045]	Time 0.431 (0.245)	Data 0.380 (0.183)	Loss 3.2411 (3.2061)	Prec@1 29.297 (26.928)	Prec@5 60.938 (55.121)
Epoch: [42][7010/7045]	Time 0.109 (0.245)	Data 0.001 (0.183)	Loss 3.2391 (3.2060)	Prec@1 25.781 (26.930)	Prec@5 50.391 (55.122)
Epoch: [42][7020/7045]	Time 0.700 (0.245)	Data 0.647 (0.183)	Loss 3.0446 (3.2060)	Prec@1 29.297 (26.931)	Prec@5 56.250 (55.122)
Epoch: [42][7030/7045]	Time 0.109 (0.245)	Data 0.056 (0.183)	Loss 3.2101 (3.2059)	Prec@1 26.953 (26.932)	Prec@5 53.125 (55.122)
Epoch: [42][7040/7045]	Time 0.600 (0.245)	Data 0.548 (0.183)	Loss 3.3267 (3.2060)	Prec@1 27.734 (26.932)	Prec@5 55.078 (55.121)
Test: [0/143]	Time 1.368 (1.368)	Loss 2.8817 (2.8817)	Prec@1 33.203 (33.203)	Prec@5 63.672 (63.672)
Test: [10/143]	Time 0.059 (0.243)	Loss 2.5922 (2.6077)	Prec@1 41.406 (38.743)	Prec@5 69.531 (68.253)
Test: [20/143]	Time 0.272 (0.223)	Loss 2.5061 (2.5998)	Prec@1 41.406 (37.147)	Prec@5 70.312 (68.917)
Test: [30/143]	Time 0.047 (0.203)	Loss 2.9320 (2.5953)	Prec@1 30.469 (37.651)	Prec@5 60.156 (68.599)
Test: [40/143]	Time 0.282 (0.201)	Loss 3.3300 (2.6165)	Prec@1 15.234 (37.252)	Prec@5 51.562 (67.997)
Test: [50/143]	Time 0.059 (0.191)	Loss 2.4396 (2.6651)	Prec@1 35.938 (35.394)	Prec@5 73.828 (66.988)
Test: [60/143]	Time 0.189 (0.192)	Loss 2.8373 (2.6469)	Prec@1 31.250 (35.893)	Prec@5 66.016 (67.373)
Test: [70/143]	Time 0.065 (0.186)	Loss 3.4650 (2.6467)	Prec@1 17.578 (35.971)	Prec@5 47.656 (67.243)
Test: [80/143]	Time 0.227 (0.187)	Loss 2.5729 (2.6430)	Prec@1 35.938 (36.029)	Prec@5 71.875 (67.385)
Test: [90/143]	Time 0.048 (0.183)	Loss 2.3449 (2.6366)	Prec@1 41.797 (35.959)	Prec@5 78.906 (67.527)
Test: [100/143]	Time 0.119 (0.184)	Loss 2.3391 (2.6347)	Prec@1 41.016 (35.980)	Prec@5 75.391 (67.474)
Test: [110/143]	Time 0.062 (0.181)	Loss 2.5362 (2.6242)	Prec@1 41.016 (36.427)	Prec@5 65.625 (67.656)
Test: [120/143]	Time 0.048 (0.182)	Loss 2.1208 (2.6162)	Prec@1 51.562 (36.722)	Prec@5 78.906 (67.782)
Test: [130/143]	Time 0.061 (0.179)	Loss 2.2107 (2.6196)	Prec@1 53.125 (36.814)	Prec@5 72.266 (67.611)
Test: [140/143]	Time 0.097 (0.180)	Loss 3.7250 (2.6438)	Prec@1 10.938 (36.245)	Prec@5 41.016 (67.099)
 * Prec@1 36.290 Prec@5 67.134
Epoch: [43][0/7045]	Time 2.555 (2.555)	Data 2.497 (2.497)	Loss 3.1075 (3.1075)	Prec@1 30.469 (30.469)	Prec@5 59.375 (59.375)
Epoch: [43][10/7045]	Time 0.219 (0.421)	Data 0.168 (0.348)	Loss 3.4061 (3.1379)	Prec@1 19.922 (27.202)	Prec@5 49.219 (57.031)
Epoch: [43][20/7045]	Time 0.403 (0.344)	Data 0.344 (0.278)	Loss 3.1019 (3.1479)	Prec@1 28.125 (27.418)	Prec@5 54.688 (55.841)
Epoch: [43][30/7045]	Time 0.448 (0.313)	Data 0.397 (0.251)	Loss 3.0280 (3.1562)	Prec@1 32.812 (27.445)	Prec@5 56.250 (55.796)
Epoch: [43][40/7045]	Time 0.108 (0.294)	Data 0.055 (0.234)	Loss 3.2168 (3.1599)	Prec@1 29.688 (27.525)	Prec@5 55.859 (55.869)
Epoch: [43][50/7045]	Time 0.457 (0.286)	Data 0.406 (0.224)	Loss 3.0923 (3.1638)	Prec@1 27.734 (27.604)	Prec@5 57.031 (55.767)
Epoch: [43][60/7045]	Time 0.101 (0.278)	Data 0.005 (0.214)	Loss 3.2338 (3.1681)	Prec@1 26.172 (27.645)	Prec@5 55.859 (55.635)
Epoch: [43][70/7045]	Time 0.516 (0.274)	Data 0.465 (0.210)	Loss 3.0780 (3.1696)	Prec@1 26.953 (27.580)	Prec@5 56.641 (55.584)
Epoch: [43][80/7045]	Time 0.107 (0.268)	Data 0.003 (0.203)	Loss 3.3284 (3.1695)	Prec@1 28.516 (27.546)	Prec@5 53.906 (55.633)
Epoch: [43][90/7045]	Time 0.661 (0.268)	Data 0.604 (0.203)	Loss 3.1186 (3.1700)	Prec@1 26.953 (27.627)	Prec@5 56.641 (55.671)
Epoch: [43][100/7045]	Time 0.102 (0.263)	Data 0.001 (0.197)	Loss 3.3611 (3.1738)	Prec@1 22.266 (27.622)	Prec@5 53.516 (55.593)
Epoch: [43][110/7045]	Time 0.602 (0.265)	Data 0.549 (0.199)	Loss 3.2402 (3.1660)	Prec@1 24.609 (27.696)	Prec@5 52.734 (55.690)
Epoch: [43][120/7045]	Time 0.103 (0.259)	Data 0.001 (0.192)	Loss 3.2069 (3.1689)	Prec@1 27.734 (27.702)	Prec@5 57.422 (55.620)
Epoch: [43][130/7045]	Time 0.571 (0.260)	Data 0.513 (0.193)	Loss 3.0733 (3.1687)	Prec@1 33.594 (27.752)	Prec@5 58.594 (55.767)
Epoch: [43][140/7045]	Time 0.110 (0.256)	Data 0.059 (0.189)	Loss 3.2464 (3.1727)	Prec@1 26.172 (27.665)	Prec@5 53.516 (55.674)
Epoch: [43][150/7045]	Time 0.495 (0.257)	Data 0.444 (0.190)	Loss 3.2657 (3.1732)	Prec@1 27.344 (27.714)	Prec@5 51.953 (55.668)
Epoch: [43][160/7045]	Time 0.111 (0.254)	Data 0.060 (0.187)	Loss 3.0279 (3.1685)	Prec@1 25.391 (27.737)	Prec@5 59.375 (55.801)
Epoch: [43][170/7045]	Time 0.477 (0.255)	Data 0.420 (0.188)	Loss 3.0119 (3.1660)	Prec@1 31.641 (27.709)	Prec@5 57.812 (55.894)
Epoch: [43][180/7045]	Time 0.131 (0.252)	Data 0.079 (0.187)	Loss 3.1887 (3.1651)	Prec@1 26.562 (27.782)	Prec@5 58.984 (55.969)
Epoch: [43][190/7045]	Time 0.416 (0.253)	Data 0.358 (0.188)	Loss 3.2993 (3.1639)	Prec@1 24.219 (27.745)	Prec@5 56.250 (56.025)
Epoch: [43][200/7045]	Time 0.207 (0.251)	Data 0.156 (0.187)	Loss 3.1304 (3.1619)	Prec@1 25.781 (27.725)	Prec@5 53.906 (56.052)
Epoch: [43][210/7045]	Time 0.437 (0.251)	Data 0.378 (0.187)	Loss 3.0482 (3.1624)	Prec@1 27.734 (27.751)	Prec@5 57.031 (56.089)
Epoch: [43][220/7045]	Time 0.276 (0.250)	Data 0.225 (0.187)	Loss 3.0005 (3.1625)	Prec@1 28.906 (27.779)	Prec@5 60.156 (56.050)
Epoch: [43][230/7045]	Time 0.298 (0.250)	Data 0.246 (0.187)	Loss 3.2868 (3.1640)	Prec@1 25.391 (27.717)	Prec@5 53.125 (56.006)
Epoch: [43][240/7045]	Time 0.331 (0.250)	Data 0.280 (0.187)	Loss 3.1332 (3.1631)	Prec@1 31.641 (27.757)	Prec@5 57.422 (56.012)
Epoch: [43][250/7045]	Time 0.172 (0.250)	Data 0.119 (0.187)	Loss 3.2277 (3.1639)	Prec@1 27.734 (27.723)	Prec@5 53.906 (56.024)
Epoch: [43][260/7045]	Time 0.204 (0.249)	Data 0.153 (0.187)	Loss 3.1741 (3.1632)	Prec@1 28.516 (27.734)	Prec@5 56.250 (56.026)
Epoch: [43][270/7045]	Time 0.101 (0.249)	Data 0.001 (0.187)	Loss 3.1855 (3.1645)	Prec@1 27.344 (27.743)	Prec@5 54.688 (55.996)
Epoch: [43][280/7045]	Time 0.161 (0.248)	Data 0.110 (0.187)	Loss 3.2771 (3.1662)	Prec@1 28.516 (27.709)	Prec@5 55.078 (55.989)
Epoch: [43][290/7045]	Time 0.208 (0.249)	Data 0.157 (0.187)	Loss 3.0372 (3.1652)	Prec@1 30.859 (27.736)	Prec@5 60.547 (55.999)
Epoch: [43][300/7045]	Time 0.117 (0.248)	Data 0.066 (0.187)	Loss 3.3672 (3.1660)	Prec@1 28.906 (27.734)	Prec@5 51.172 (55.955)
Epoch: [43][310/7045]	Time 0.423 (0.249)	Data 0.372 (0.187)	Loss 3.1659 (3.1671)	Prec@1 26.953 (27.726)	Prec@5 55.469 (55.917)
Epoch: [43][320/7045]	Time 0.101 (0.248)	Data 0.006 (0.186)	Loss 3.0151 (3.1661)	Prec@1 27.734 (27.734)	Prec@5 55.859 (55.932)
Epoch: [43][330/7045]	Time 0.485 (0.248)	Data 0.426 (0.187)	Loss 3.1212 (3.1669)	Prec@1 26.562 (27.708)	Prec@5 57.031 (55.930)
Epoch: [43][340/7045]	Time 0.149 (0.247)	Data 0.097 (0.186)	Loss 3.1246 (3.1662)	Prec@1 26.953 (27.726)	Prec@5 54.688 (55.924)
Epoch: [43][350/7045]	Time 0.544 (0.248)	Data 0.493 (0.187)	Loss 3.2455 (3.1696)	Prec@1 25.000 (27.695)	Prec@5 53.516 (55.872)
Epoch: [43][360/7045]	Time 0.308 (0.247)	Data 0.257 (0.186)	Loss 3.1461 (3.1692)	Prec@1 28.516 (27.712)	Prec@5 56.641 (55.870)
Epoch: [43][370/7045]	Time 0.435 (0.247)	Data 0.384 (0.186)	Loss 3.1890 (3.1707)	Prec@1 26.172 (27.682)	Prec@5 55.859 (55.808)
Epoch: [43][380/7045]	Time 0.314 (0.247)	Data 0.264 (0.185)	Loss 3.2726 (3.1698)	Prec@1 27.734 (27.688)	Prec@5 53.906 (55.850)
Epoch: [43][390/7045]	Time 0.279 (0.247)	Data 0.228 (0.185)	Loss 3.2253 (3.1712)	Prec@1 26.562 (27.663)	Prec@5 52.734 (55.819)
Epoch: [43][400/7045]	Time 0.335 (0.247)	Data 0.284 (0.185)	Loss 3.1044 (3.1708)	Prec@1 26.953 (27.667)	Prec@5 54.688 (55.827)
Epoch: [43][410/7045]	Time 0.102 (0.247)	Data 0.006 (0.185)	Loss 3.1226 (3.1706)	Prec@1 30.469 (27.681)	Prec@5 53.906 (55.835)
Epoch: [43][420/7045]	Time 0.152 (0.246)	Data 0.101 (0.184)	Loss 3.3360 (3.1699)	Prec@1 23.828 (27.703)	Prec@5 51.562 (55.843)
Epoch: [43][430/7045]	Time 0.109 (0.247)	Data 0.006 (0.184)	Loss 3.2234 (3.1698)	Prec@1 26.172 (27.698)	Prec@5 54.688 (55.843)
Epoch: [43][440/7045]	Time 0.102 (0.246)	Data 0.001 (0.183)	Loss 3.1035 (3.1698)	Prec@1 26.172 (27.702)	Prec@5 58.984 (55.833)
Epoch: [43][450/7045]	Time 0.101 (0.246)	Data 0.001 (0.183)	Loss 3.2011 (3.1700)	Prec@1 25.391 (27.717)	Prec@5 57.422 (55.845)
Epoch: [43][460/7045]	Time 0.187 (0.246)	Data 0.135 (0.183)	Loss 3.3538 (3.1706)	Prec@1 26.953 (27.703)	Prec@5 53.125 (55.832)
Epoch: [43][470/7045]	Time 0.102 (0.246)	Data 0.045 (0.183)	Loss 3.0937 (3.1716)	Prec@1 29.297 (27.690)	Prec@5 54.297 (55.783)
Epoch: [43][480/7045]	Time 0.395 (0.246)	Data 0.344 (0.183)	Loss 3.1086 (3.1709)	Prec@1 30.859 (27.693)	Prec@5 54.688 (55.784)
Epoch: [43][490/7045]	Time 0.119 (0.245)	Data 0.067 (0.183)	Loss 3.2758 (3.1707)	Prec@1 25.781 (27.710)	Prec@5 58.594 (55.804)
Epoch: [43][500/7045]	Time 0.623 (0.246)	Data 0.571 (0.184)	Loss 3.4104 (3.1705)	Prec@1 24.219 (27.697)	Prec@5 50.781 (55.795)
Epoch: [43][510/7045]	Time 0.116 (0.245)	Data 0.058 (0.183)	Loss 3.1650 (3.1708)	Prec@1 27.344 (27.673)	Prec@5 58.984 (55.800)
Epoch: [43][520/7045]	Time 0.615 (0.246)	Data 0.563 (0.183)	Loss 3.3242 (3.1714)	Prec@1 25.000 (27.664)	Prec@5 51.562 (55.787)
Epoch: [43][530/7045]	Time 0.101 (0.245)	Data 0.001 (0.183)	Loss 2.8395 (3.1720)	Prec@1 32.812 (27.668)	Prec@5 61.719 (55.780)
Epoch: [43][540/7045]	Time 0.528 (0.246)	Data 0.477 (0.183)	Loss 3.0171 (3.1724)	Prec@1 33.203 (27.674)	Prec@5 56.250 (55.786)
Epoch: [43][550/7045]	Time 0.109 (0.245)	Data 0.011 (0.182)	Loss 3.1212 (3.1732)	Prec@1 27.734 (27.661)	Prec@5 60.547 (55.788)
Epoch: [43][560/7045]	Time 0.425 (0.245)	Data 0.374 (0.183)	Loss 2.9754 (3.1720)	Prec@1 31.250 (27.686)	Prec@5 57.422 (55.795)
Epoch: [43][570/7045]	Time 0.102 (0.245)	Data 0.002 (0.182)	Loss 3.0803 (3.1717)	Prec@1 28.125 (27.706)	Prec@5 60.938 (55.807)
Epoch: [43][580/7045]	Time 0.299 (0.245)	Data 0.248 (0.182)	Loss 3.1092 (3.1714)	Prec@1 28.516 (27.693)	Prec@5 55.078 (55.796)
Epoch: [43][590/7045]	Time 0.102 (0.245)	Data 0.046 (0.182)	Loss 3.0175 (3.1713)	Prec@1 28.125 (27.701)	Prec@5 57.031 (55.787)
Epoch: [43][600/7045]	Time 0.102 (0.245)	Data 0.005 (0.182)	Loss 3.3831 (3.1722)	Prec@1 26.953 (27.669)	Prec@5 50.781 (55.760)
Epoch: [43][610/7045]	Time 0.101 (0.245)	Data 0.002 (0.182)	Loss 3.2095 (3.1724)	Prec@1 24.609 (27.663)	Prec@5 56.641 (55.762)
Epoch: [43][620/7045]	Time 0.300 (0.245)	Data 0.249 (0.182)	Loss 3.0267 (3.1715)	Prec@1 30.078 (27.672)	Prec@5 58.594 (55.791)
Epoch: [43][630/7045]	Time 0.109 (0.245)	Data 0.057 (0.181)	Loss 3.2197 (3.1728)	Prec@1 25.781 (27.676)	Prec@5 53.125 (55.771)
Epoch: [43][640/7045]	Time 0.278 (0.245)	Data 0.227 (0.182)	Loss 3.1243 (3.1739)	Prec@1 25.391 (27.643)	Prec@5 58.203 (55.757)
Epoch: [43][650/7045]	Time 0.166 (0.244)	Data 0.114 (0.181)	Loss 3.2536 (3.1734)	Prec@1 26.172 (27.629)	Prec@5 53.906 (55.768)
Epoch: [43][660/7045]	Time 0.240 (0.245)	Data 0.189 (0.181)	Loss 3.1348 (3.1730)	Prec@1 31.641 (27.647)	Prec@5 58.203 (55.784)
Epoch: [43][670/7045]	Time 0.325 (0.245)	Data 0.274 (0.181)	Loss 3.0954 (3.1746)	Prec@1 26.953 (27.606)	Prec@5 54.297 (55.749)
Epoch: [43][680/7045]	Time 0.240 (0.245)	Data 0.184 (0.182)	Loss 3.1937 (3.1742)	Prec@1 27.344 (27.628)	Prec@5 53.516 (55.763)
Epoch: [43][690/7045]	Time 0.570 (0.245)	Data 0.511 (0.182)	Loss 3.3667 (3.1753)	Prec@1 20.703 (27.617)	Prec@5 53.125 (55.743)
Epoch: [43][700/7045]	Time 0.107 (0.244)	Data 0.048 (0.181)	Loss 3.4390 (3.1762)	Prec@1 25.391 (27.606)	Prec@5 48.828 (55.720)
Epoch: [43][710/7045]	Time 0.480 (0.245)	Data 0.429 (0.182)	Loss 3.2959 (3.1754)	Prec@1 26.562 (27.625)	Prec@5 54.297 (55.728)
Epoch: [43][720/7045]	Time 0.176 (0.244)	Data 0.125 (0.182)	Loss 3.1369 (3.1758)	Prec@1 25.781 (27.601)	Prec@5 58.203 (55.728)
Epoch: [43][730/7045]	Time 0.536 (0.245)	Data 0.479 (0.182)	Loss 2.9721 (3.1752)	Prec@1 32.422 (27.608)	Prec@5 59.375 (55.749)
Epoch: [43][740/7045]	Time 0.251 (0.244)	Data 0.194 (0.181)	Loss 3.1106 (3.1748)	Prec@1 28.125 (27.619)	Prec@5 53.906 (55.762)
Epoch: [43][750/7045]	Time 0.474 (0.245)	Data 0.422 (0.182)	Loss 3.3235 (3.1746)	Prec@1 27.734 (27.628)	Prec@5 52.344 (55.768)
Epoch: [43][760/7045]	Time 0.160 (0.244)	Data 0.108 (0.181)	Loss 3.2689 (3.1741)	Prec@1 29.688 (27.650)	Prec@5 55.859 (55.776)
Epoch: [43][770/7045]	Time 0.283 (0.244)	Data 0.233 (0.182)	Loss 3.0553 (3.1744)	Prec@1 28.906 (27.643)	Prec@5 57.812 (55.764)
Epoch: [43][780/7045]	Time 0.158 (0.244)	Data 0.106 (0.181)	Loss 3.0003 (3.1736)	Prec@1 29.688 (27.655)	Prec@5 60.156 (55.781)
Epoch: [43][790/7045]	Time 0.131 (0.244)	Data 0.080 (0.181)	Loss 3.1140 (3.1742)	Prec@1 28.906 (27.648)	Prec@5 57.812 (55.770)
Epoch: [43][800/7045]	Time 0.207 (0.244)	Data 0.156 (0.181)	Loss 3.2040 (3.1742)	Prec@1 28.906 (27.639)	Prec@5 56.250 (55.771)
Epoch: [43][810/7045]	Time 0.128 (0.244)	Data 0.078 (0.181)	Loss 3.0825 (3.1746)	Prec@1 29.297 (27.625)	Prec@5 55.859 (55.768)
Epoch: [43][820/7045]	Time 0.142 (0.244)	Data 0.090 (0.181)	Loss 3.1863 (3.1744)	Prec@1 25.000 (27.636)	Prec@5 57.031 (55.776)
Epoch: [43][830/7045]	Time 0.102 (0.244)	Data 0.050 (0.182)	Loss 3.3934 (3.1741)	Prec@1 23.828 (27.633)	Prec@5 51.953 (55.774)
Epoch: [43][840/7045]	Time 0.112 (0.244)	Data 0.058 (0.181)	Loss 3.0966 (3.1743)	Prec@1 28.906 (27.616)	Prec@5 55.469 (55.760)
Epoch: [43][850/7045]	Time 0.110 (0.244)	Data 0.059 (0.182)	Loss 3.1077 (3.1740)	Prec@1 30.859 (27.622)	Prec@5 57.812 (55.770)
Epoch: [43][860/7045]	Time 0.101 (0.244)	Data 0.003 (0.181)	Loss 3.0067 (3.1741)	Prec@1 35.156 (27.620)	Prec@5 56.250 (55.770)
Epoch: [43][870/7045]	Time 0.170 (0.244)	Data 0.119 (0.182)	Loss 2.9312 (3.1734)	Prec@1 32.812 (27.622)	Prec@5 62.109 (55.788)
Epoch: [43][880/7045]	Time 0.112 (0.244)	Data 0.059 (0.181)	Loss 2.9700 (3.1734)	Prec@1 32.031 (27.628)	Prec@5 60.938 (55.801)
Epoch: [43][890/7045]	Time 0.172 (0.244)	Data 0.121 (0.182)	Loss 3.2150 (3.1728)	Prec@1 26.562 (27.631)	Prec@5 54.297 (55.818)
Epoch: [43][900/7045]	Time 0.102 (0.243)	Data 0.001 (0.181)	Loss 3.3606 (3.1728)	Prec@1 23.438 (27.639)	Prec@5 54.297 (55.826)
Epoch: [43][910/7045]	Time 0.177 (0.244)	Data 0.125 (0.181)	Loss 3.2787 (3.1735)	Prec@1 26.172 (27.629)	Prec@5 53.906 (55.816)
Epoch: [43][920/7045]	Time 0.101 (0.243)	Data 0.013 (0.181)	Loss 3.0671 (3.1736)	Prec@1 28.906 (27.627)	Prec@5 57.812 (55.800)
Epoch: [43][930/7045]	Time 0.132 (0.243)	Data 0.080 (0.181)	Loss 3.1820 (3.1740)	Prec@1 27.734 (27.618)	Prec@5 57.031 (55.789)
Epoch: [43][940/7045]	Time 0.101 (0.243)	Data 0.005 (0.181)	Loss 3.1605 (3.1742)	Prec@1 26.562 (27.615)	Prec@5 56.250 (55.785)
Epoch: [43][950/7045]	Time 0.130 (0.243)	Data 0.078 (0.181)	Loss 3.1614 (3.1735)	Prec@1 28.516 (27.628)	Prec@5 52.344 (55.788)
Epoch: [43][960/7045]	Time 0.100 (0.243)	Data 0.001 (0.181)	Loss 3.0757 (3.1733)	Prec@1 28.906 (27.632)	Prec@5 56.250 (55.795)
Epoch: [43][970/7045]	Time 0.138 (0.243)	Data 0.087 (0.181)	Loss 3.0913 (3.1725)	Prec@1 23.828 (27.641)	Prec@5 56.641 (55.804)
Epoch: [43][980/7045]	Time 0.099 (0.243)	Data 0.003 (0.181)	Loss 3.3614 (3.1725)	Prec@1 25.781 (27.626)	Prec@5 52.344 (55.817)
Epoch: [43][990/7045]	Time 0.103 (0.243)	Data 0.051 (0.181)	Loss 3.3222 (3.1727)	Prec@1 27.734 (27.622)	Prec@5 54.688 (55.805)
Epoch: [43][1000/7045]	Time 0.101 (0.243)	Data 0.005 (0.181)	Loss 3.2282 (3.1728)	Prec@1 26.562 (27.623)	Prec@5 54.688 (55.807)
Epoch: [43][1010/7045]	Time 0.102 (0.243)	Data 0.004 (0.181)	Loss 2.9590 (3.1731)	Prec@1 35.547 (27.617)	Prec@5 60.156 (55.801)
Epoch: [43][1020/7045]	Time 0.101 (0.243)	Data 0.006 (0.180)	Loss 3.1785 (3.1729)	Prec@1 28.125 (27.616)	Prec@5 56.641 (55.813)
Epoch: [43][1030/7045]	Time 0.102 (0.243)	Data 0.006 (0.180)	Loss 3.1173 (3.1736)	Prec@1 26.172 (27.602)	Prec@5 54.688 (55.793)
Epoch: [43][1040/7045]	Time 0.102 (0.243)	Data 0.048 (0.180)	Loss 3.1324 (3.1740)	Prec@1 27.734 (27.600)	Prec@5 60.156 (55.794)
Epoch: [43][1050/7045]	Time 0.102 (0.243)	Data 0.013 (0.180)	Loss 3.1141 (3.1740)	Prec@1 25.781 (27.587)	Prec@5 57.422 (55.803)
Epoch: [43][1060/7045]	Time 0.100 (0.243)	Data 0.046 (0.180)	Loss 3.1248 (3.1743)	Prec@1 28.125 (27.571)	Prec@5 58.203 (55.795)
Epoch: [43][1070/7045]	Time 0.101 (0.243)	Data 0.002 (0.180)	Loss 3.0681 (3.1744)	Prec@1 26.953 (27.568)	Prec@5 58.203 (55.797)
Epoch: [43][1080/7045]	Time 0.104 (0.243)	Data 0.048 (0.180)	Loss 3.0815 (3.1744)	Prec@1 28.125 (27.556)	Prec@5 57.031 (55.803)
Epoch: [43][1090/7045]	Time 0.103 (0.243)	Data 0.018 (0.180)	Loss 3.3608 (3.1745)	Prec@1 22.266 (27.561)	Prec@5 53.906 (55.807)
Epoch: [43][1100/7045]	Time 0.131 (0.243)	Data 0.080 (0.180)	Loss 3.1856 (3.1744)	Prec@1 26.562 (27.558)	Prec@5 57.422 (55.802)
Epoch: [43][1110/7045]	Time 0.100 (0.243)	Data 0.043 (0.180)	Loss 3.2391 (3.1741)	Prec@1 24.609 (27.566)	Prec@5 56.250 (55.811)
Epoch: [43][1120/7045]	Time 0.147 (0.243)	Data 0.097 (0.180)	Loss 3.1073 (3.1746)	Prec@1 28.125 (27.555)	Prec@5 55.469 (55.796)
Epoch: [43][1130/7045]	Time 0.101 (0.243)	Data 0.004 (0.180)	Loss 3.3491 (3.1749)	Prec@1 27.344 (27.555)	Prec@5 54.297 (55.793)
Epoch: [43][1140/7045]	Time 0.120 (0.242)	Data 0.070 (0.180)	Loss 3.2688 (3.1745)	Prec@1 25.000 (27.572)	Prec@5 57.031 (55.800)
Epoch: [43][1150/7045]	Time 0.330 (0.243)	Data 0.280 (0.180)	Loss 3.2073 (3.1749)	Prec@1 25.391 (27.556)	Prec@5 54.688 (55.789)
Epoch: [43][1160/7045]	Time 0.102 (0.242)	Data 0.001 (0.180)	Loss 3.1553 (3.1746)	Prec@1 28.125 (27.550)	Prec@5 56.641 (55.791)
Epoch: [43][1170/7045]	Time 0.314 (0.243)	Data 0.262 (0.180)	Loss 2.8320 (3.1738)	Prec@1 36.328 (27.559)	Prec@5 59.766 (55.798)
Epoch: [43][1180/7045]	Time 0.309 (0.243)	Data 0.258 (0.180)	Loss 3.1638 (3.1738)	Prec@1 26.172 (27.557)	Prec@5 54.688 (55.803)
Epoch: [43][1190/7045]	Time 0.202 (0.243)	Data 0.151 (0.180)	Loss 3.2204 (3.1741)	Prec@1 26.172 (27.550)	Prec@5 53.516 (55.790)
Epoch: [43][1200/7045]	Time 0.470 (0.243)	Data 0.419 (0.180)	Loss 3.2824 (3.1747)	Prec@1 28.516 (27.549)	Prec@5 54.297 (55.784)
Epoch: [43][1210/7045]	Time 0.109 (0.243)	Data 0.001 (0.180)	Loss 3.2518 (3.1752)	Prec@1 26.172 (27.547)	Prec@5 54.688 (55.775)
Epoch: [43][1220/7045]	Time 0.361 (0.243)	Data 0.310 (0.180)	Loss 3.2420 (3.1756)	Prec@1 24.219 (27.536)	Prec@5 57.031 (55.773)
Epoch: [43][1230/7045]	Time 0.276 (0.243)	Data 0.225 (0.180)	Loss 2.9314 (3.1758)	Prec@1 33.984 (27.535)	Prec@5 65.234 (55.769)
Epoch: [43][1240/7045]	Time 0.268 (0.243)	Data 0.217 (0.180)	Loss 3.0545 (3.1754)	Prec@1 32.812 (27.543)	Prec@5 57.812 (55.773)
Epoch: [43][1250/7045]	Time 0.314 (0.242)	Data 0.263 (0.180)	Loss 3.3396 (3.1754)	Prec@1 23.047 (27.535)	Prec@5 52.734 (55.770)
Epoch: [43][1260/7045]	Time 0.118 (0.242)	Data 0.062 (0.180)	Loss 3.0874 (3.1757)	Prec@1 25.391 (27.529)	Prec@5 57.031 (55.765)
Epoch: [43][1270/7045]	Time 0.196 (0.242)	Data 0.141 (0.180)	Loss 3.0358 (3.1756)	Prec@1 28.516 (27.533)	Prec@5 58.203 (55.767)
Epoch: [43][1280/7045]	Time 0.239 (0.242)	Data 0.188 (0.180)	Loss 3.0786 (3.1756)	Prec@1 28.125 (27.536)	Prec@5 57.422 (55.772)
Epoch: [43][1290/7045]	Time 0.102 (0.242)	Data 0.050 (0.180)	Loss 3.0236 (3.1752)	Prec@1 33.203 (27.536)	Prec@5 60.547 (55.783)
Epoch: [43][1300/7045]	Time 0.266 (0.242)	Data 0.215 (0.180)	Loss 3.1030 (3.1749)	Prec@1 28.906 (27.539)	Prec@5 55.469 (55.786)
Epoch: [43][1310/7045]	Time 0.173 (0.242)	Data 0.122 (0.180)	Loss 3.0652 (3.1751)	Prec@1 26.562 (27.532)	Prec@5 57.812 (55.791)
Epoch: [43][1320/7045]	Time 0.231 (0.242)	Data 0.180 (0.180)	Loss 3.0783 (3.1748)	Prec@1 29.688 (27.530)	Prec@5 58.984 (55.798)
Epoch: [43][1330/7045]	Time 0.350 (0.243)	Data 0.293 (0.181)	Loss 3.1067 (3.1746)	Prec@1 27.344 (27.529)	Prec@5 57.031 (55.802)
Epoch: [43][1340/7045]	Time 0.101 (0.242)	Data 0.003 (0.180)	Loss 3.2290 (3.1736)	Prec@1 25.781 (27.546)	Prec@5 54.297 (55.811)
Epoch: [43][1350/7045]	Time 0.378 (0.242)	Data 0.328 (0.181)	Loss 3.1538 (3.1731)	Prec@1 27.344 (27.547)	Prec@5 56.250 (55.818)
Epoch: [43][1360/7045]	Time 0.310 (0.242)	Data 0.259 (0.181)	Loss 3.1501 (3.1737)	Prec@1 26.562 (27.545)	Prec@5 54.688 (55.807)
Epoch: [43][1370/7045]	Time 0.341 (0.242)	Data 0.290 (0.181)	Loss 3.2887 (3.1736)	Prec@1 28.516 (27.549)	Prec@5 55.859 (55.805)
Epoch: [43][1380/7045]	Time 0.374 (0.242)	Data 0.323 (0.181)	Loss 3.0668 (3.1737)	Prec@1 26.172 (27.543)	Prec@5 54.688 (55.786)
Epoch: [43][1390/7045]	Time 0.109 (0.242)	Data 0.045 (0.181)	Loss 3.3007 (3.1739)	Prec@1 22.656 (27.541)	Prec@5 53.516 (55.777)
Epoch: [43][1400/7045]	Time 0.239 (0.242)	Data 0.190 (0.181)	Loss 3.2865 (3.1746)	Prec@1 26.562 (27.537)	Prec@5 49.609 (55.766)
Epoch: [43][1410/7045]	Time 0.108 (0.242)	Data 0.056 (0.181)	Loss 3.3595 (3.1746)	Prec@1 26.953 (27.536)	Prec@5 52.344 (55.766)
Epoch: [43][1420/7045]	Time 0.323 (0.242)	Data 0.272 (0.181)	Loss 3.2694 (3.1744)	Prec@1 27.734 (27.536)	Prec@5 51.953 (55.774)
Epoch: [43][1430/7045]	Time 0.181 (0.242)	Data 0.129 (0.181)	Loss 3.2930 (3.1739)	Prec@1 21.875 (27.550)	Prec@5 52.344 (55.781)
Epoch: [43][1440/7045]	Time 0.335 (0.242)	Data 0.284 (0.181)	Loss 2.9642 (3.1735)	Prec@1 28.125 (27.553)	Prec@5 61.328 (55.782)
Epoch: [43][1450/7045]	Time 0.104 (0.242)	Data 0.052 (0.181)	Loss 3.1295 (3.1733)	Prec@1 30.078 (27.556)	Prec@5 55.469 (55.790)
Epoch: [43][1460/7045]	Time 0.350 (0.242)	Data 0.299 (0.180)	Loss 3.1454 (3.1728)	Prec@1 23.828 (27.555)	Prec@5 53.906 (55.795)
Epoch: [43][1470/7045]	Time 0.108 (0.242)	Data 0.050 (0.180)	Loss 3.1184 (3.1725)	Prec@1 28.516 (27.563)	Prec@5 55.469 (55.801)
Epoch: [43][1480/7045]	Time 0.417 (0.242)	Data 0.365 (0.180)	Loss 3.1224 (3.1724)	Prec@1 28.125 (27.568)	Prec@5 59.375 (55.797)
Epoch: [43][1490/7045]	Time 0.170 (0.242)	Data 0.118 (0.180)	Loss 3.0799 (3.1724)	Prec@1 28.906 (27.569)	Prec@5 61.328 (55.808)
Epoch: [43][1500/7045]	Time 0.404 (0.242)	Data 0.353 (0.180)	Loss 3.0096 (3.1726)	Prec@1 28.906 (27.565)	Prec@5 58.984 (55.801)
Epoch: [43][1510/7045]	Time 0.107 (0.242)	Data 0.056 (0.180)	Loss 3.0976 (3.1725)	Prec@1 28.906 (27.569)	Prec@5 55.469 (55.807)
Epoch: [43][1520/7045]	Time 0.446 (0.242)	Data 0.394 (0.180)	Loss 3.2031 (3.1723)	Prec@1 26.562 (27.566)	Prec@5 53.906 (55.811)
Epoch: [43][1530/7045]	Time 0.100 (0.242)	Data 0.001 (0.180)	Loss 3.1698 (3.1728)	Prec@1 25.781 (27.558)	Prec@5 55.469 (55.799)
Epoch: [43][1540/7045]	Time 0.475 (0.242)	Data 0.422 (0.180)	Loss 3.3156 (3.1724)	Prec@1 28.125 (27.562)	Prec@5 52.344 (55.802)
Epoch: [43][1550/7045]	Time 0.102 (0.242)	Data 0.001 (0.180)	Loss 3.0569 (3.1724)	Prec@1 29.688 (27.567)	Prec@5 57.812 (55.802)
Epoch: [43][1560/7045]	Time 0.451 (0.242)	Data 0.401 (0.180)	Loss 3.0178 (3.1723)	Prec@1 31.250 (27.565)	Prec@5 61.719 (55.809)
Epoch: [43][1570/7045]	Time 0.102 (0.242)	Data 0.002 (0.180)	Loss 3.2279 (3.1726)	Prec@1 28.906 (27.567)	Prec@5 54.688 (55.804)
Epoch: [43][1580/7045]	Time 0.482 (0.242)	Data 0.430 (0.180)	Loss 3.2935 (3.1728)	Prec@1 23.828 (27.559)	Prec@5 51.172 (55.803)
Epoch: [43][1590/7045]	Time 0.102 (0.242)	Data 0.006 (0.180)	Loss 3.3898 (3.1726)	Prec@1 25.391 (27.561)	Prec@5 51.562 (55.807)
Epoch: [43][1600/7045]	Time 0.420 (0.242)	Data 0.370 (0.180)	Loss 3.0805 (3.1727)	Prec@1 28.125 (27.560)	Prec@5 59.766 (55.809)
Epoch: [43][1610/7045]	Time 0.101 (0.242)	Data 0.003 (0.179)	Loss 3.5005 (3.1730)	Prec@1 21.094 (27.556)	Prec@5 50.391 (55.804)
Epoch: [43][1620/7045]	Time 0.524 (0.242)	Data 0.472 (0.179)	Loss 3.3647 (3.1732)	Prec@1 28.125 (27.551)	Prec@5 51.172 (55.793)
Epoch: [43][1630/7045]	Time 0.102 (0.242)	Data 0.002 (0.179)	Loss 3.3423 (3.1733)	Prec@1 26.172 (27.545)	Prec@5 55.859 (55.791)
Epoch: [43][1640/7045]	Time 0.518 (0.242)	Data 0.467 (0.179)	Loss 3.1562 (3.1734)	Prec@1 27.734 (27.543)	Prec@5 57.031 (55.788)
Epoch: [43][1650/7045]	Time 0.155 (0.242)	Data 0.104 (0.179)	Loss 3.4440 (3.1736)	Prec@1 22.266 (27.541)	Prec@5 51.562 (55.792)
Epoch: [43][1660/7045]	Time 0.639 (0.242)	Data 0.588 (0.179)	Loss 3.4338 (3.1740)	Prec@1 25.391 (27.536)	Prec@5 51.562 (55.784)
Epoch: [43][1670/7045]	Time 0.164 (0.242)	Data 0.112 (0.179)	Loss 3.4763 (3.1740)	Prec@1 25.391 (27.539)	Prec@5 51.953 (55.787)
Epoch: [43][1680/7045]	Time 0.640 (0.242)	Data 0.589 (0.179)	Loss 2.9635 (3.1741)	Prec@1 31.641 (27.535)	Prec@5 60.938 (55.788)
Epoch: [43][1690/7045]	Time 0.102 (0.242)	Data 0.003 (0.179)	Loss 3.3789 (3.1741)	Prec@1 25.000 (27.531)	Prec@5 50.000 (55.780)
Epoch: [43][1700/7045]	Time 0.639 (0.242)	Data 0.581 (0.179)	Loss 3.0976 (3.1742)	Prec@1 25.781 (27.528)	Prec@5 57.812 (55.781)
Epoch: [43][1710/7045]	Time 0.101 (0.242)	Data 0.001 (0.179)	Loss 3.1781 (3.1743)	Prec@1 27.344 (27.521)	Prec@5 53.125 (55.777)
Epoch: [43][1720/7045]	Time 0.612 (0.242)	Data 0.561 (0.179)	Loss 3.1116 (3.1741)	Prec@1 28.516 (27.526)	Prec@5 56.641 (55.780)
Epoch: [43][1730/7045]	Time 0.115 (0.242)	Data 0.064 (0.178)	Loss 3.1411 (3.1737)	Prec@1 27.344 (27.529)	Prec@5 55.469 (55.787)
Epoch: [43][1740/7045]	Time 0.629 (0.242)	Data 0.575 (0.178)	Loss 3.0739 (3.1736)	Prec@1 28.125 (27.532)	Prec@5 55.078 (55.785)
Epoch: [43][1750/7045]	Time 0.102 (0.242)	Data 0.005 (0.178)	Loss 3.1961 (3.1738)	Prec@1 24.219 (27.532)	Prec@5 55.469 (55.780)
Epoch: [43][1760/7045]	Time 0.562 (0.242)	Data 0.511 (0.178)	Loss 3.1344 (3.1736)	Prec@1 31.250 (27.531)	Prec@5 54.688 (55.782)
Epoch: [43][1770/7045]	Time 0.102 (0.242)	Data 0.005 (0.178)	Loss 3.0727 (3.1736)	Prec@1 31.641 (27.530)	Prec@5 60.547 (55.784)
Epoch: [43][1780/7045]	Time 0.535 (0.242)	Data 0.483 (0.178)	Loss 3.1815 (3.1738)	Prec@1 30.469 (27.537)	Prec@5 53.125 (55.781)
Epoch: [43][1790/7045]	Time 0.103 (0.242)	Data 0.051 (0.178)	Loss 3.2414 (3.1741)	Prec@1 29.297 (27.537)	Prec@5 58.594 (55.777)
Epoch: [43][1800/7045]	Time 0.548 (0.242)	Data 0.497 (0.178)	Loss 3.1986 (3.1737)	Prec@1 21.875 (27.537)	Prec@5 57.812 (55.784)
Epoch: [43][1810/7045]	Time 0.112 (0.242)	Data 0.059 (0.178)	Loss 3.1203 (3.1737)	Prec@1 29.297 (27.537)	Prec@5 58.203 (55.786)
Epoch: [43][1820/7045]	Time 0.463 (0.242)	Data 0.411 (0.178)	Loss 3.3295 (3.1739)	Prec@1 28.516 (27.535)	Prec@5 47.656 (55.783)
Epoch: [43][1830/7045]	Time 0.102 (0.242)	Data 0.003 (0.178)	Loss 3.4041 (3.1740)	Prec@1 26.953 (27.536)	Prec@5 52.344 (55.783)
Epoch: [43][1840/7045]	Time 0.357 (0.242)	Data 0.305 (0.178)	Loss 2.9946 (3.1738)	Prec@1 30.078 (27.543)	Prec@5 61.719 (55.786)
Epoch: [43][1850/7045]	Time 0.100 (0.242)	Data 0.003 (0.178)	Loss 3.0387 (3.1738)	Prec@1 30.078 (27.538)	Prec@5 57.812 (55.785)
Epoch: [43][1860/7045]	Time 0.198 (0.242)	Data 0.147 (0.178)	Loss 3.3508 (3.1738)	Prec@1 23.828 (27.525)	Prec@5 50.781 (55.779)
Epoch: [43][1870/7045]	Time 0.102 (0.241)	Data 0.006 (0.178)	Loss 3.1841 (3.1739)	Prec@1 28.516 (27.521)	Prec@5 53.516 (55.772)
Epoch: [43][1880/7045]	Time 0.108 (0.241)	Data 0.056 (0.178)	Loss 3.2909 (3.1744)	Prec@1 25.000 (27.517)	Prec@5 51.562 (55.763)
Epoch: [43][1890/7045]	Time 0.103 (0.241)	Data 0.002 (0.178)	Loss 3.1024 (3.1742)	Prec@1 29.688 (27.520)	Prec@5 58.203 (55.765)
Epoch: [43][1900/7045]	Time 0.102 (0.241)	Data 0.001 (0.178)	Loss 3.3298 (3.1746)	Prec@1 23.047 (27.516)	Prec@5 50.781 (55.759)
Epoch: [43][1910/7045]	Time 0.101 (0.241)	Data 0.001 (0.178)	Loss 3.1595 (3.1748)	Prec@1 29.688 (27.511)	Prec@5 56.641 (55.757)
Epoch: [43][1920/7045]	Time 0.102 (0.241)	Data 0.005 (0.178)	Loss 3.3790 (3.1748)	Prec@1 28.125 (27.512)	Prec@5 52.344 (55.764)
Epoch: [43][1930/7045]	Time 0.102 (0.241)	Data 0.002 (0.178)	Loss 2.9529 (3.1746)	Prec@1 36.719 (27.516)	Prec@5 60.938 (55.770)
Epoch: [43][1940/7045]	Time 0.128 (0.241)	Data 0.077 (0.178)	Loss 3.1579 (3.1744)	Prec@1 25.391 (27.512)	Prec@5 54.297 (55.773)
Epoch: [43][1950/7045]	Time 0.100 (0.241)	Data 0.003 (0.178)	Loss 3.1749 (3.1745)	Prec@1 30.078 (27.513)	Prec@5 57.031 (55.767)
Epoch: [43][1960/7045]	Time 0.207 (0.241)	Data 0.156 (0.178)	Loss 3.2326 (3.1745)	Prec@1 26.562 (27.514)	Prec@5 54.688 (55.768)
Epoch: [43][1970/7045]	Time 0.098 (0.241)	Data 0.001 (0.178)	Loss 3.1873 (3.1746)	Prec@1 25.000 (27.517)	Prec@5 56.250 (55.767)
Epoch: [43][1980/7045]	Time 0.274 (0.241)	Data 0.222 (0.178)	Loss 3.2997 (3.1744)	Prec@1 28.906 (27.521)	Prec@5 52.734 (55.769)
Epoch: [43][1990/7045]	Time 0.102 (0.241)	Data 0.006 (0.178)	Loss 3.1177 (3.1739)	Prec@1 30.469 (27.535)	Prec@5 57.812 (55.776)
Epoch: [43][2000/7045]	Time 0.368 (0.241)	Data 0.317 (0.178)	Loss 3.2594 (3.1741)	Prec@1 25.781 (27.533)	Prec@5 55.078 (55.766)
Epoch: [43][2010/7045]	Time 0.101 (0.241)	Data 0.006 (0.178)	Loss 3.0363 (3.1740)	Prec@1 28.516 (27.536)	Prec@5 59.375 (55.771)
Epoch: [43][2020/7045]	Time 0.334 (0.241)	Data 0.282 (0.178)	Loss 3.0791 (3.1743)	Prec@1 28.125 (27.530)	Prec@5 56.641 (55.769)
Epoch: [43][2030/7045]	Time 0.101 (0.241)	Data 0.001 (0.178)	Loss 3.2521 (3.1743)	Prec@1 25.781 (27.530)	Prec@5 54.297 (55.773)
Epoch: [43][2040/7045]	Time 0.394 (0.241)	Data 0.343 (0.178)	Loss 3.0976 (3.1740)	Prec@1 30.859 (27.528)	Prec@5 58.203 (55.783)
Epoch: [43][2050/7045]	Time 0.103 (0.241)	Data 0.002 (0.177)	Loss 3.0466 (3.1742)	Prec@1 33.203 (27.525)	Prec@5 57.031 (55.777)
Epoch: [43][2060/7045]	Time 0.436 (0.241)	Data 0.378 (0.178)	Loss 3.2365 (3.1744)	Prec@1 27.734 (27.521)	Prec@5 55.078 (55.772)
Epoch: [43][2070/7045]	Time 0.102 (0.241)	Data 0.001 (0.177)	Loss 3.5220 (3.1744)	Prec@1 23.438 (27.514)	Prec@5 52.344 (55.767)
Epoch: [43][2080/7045]	Time 0.542 (0.241)	Data 0.491 (0.178)	Loss 3.1899 (3.1742)	Prec@1 30.078 (27.520)	Prec@5 54.688 (55.775)
Epoch: [43][2090/7045]	Time 0.106 (0.241)	Data 0.054 (0.177)	Loss 3.1945 (3.1741)	Prec@1 28.125 (27.522)	Prec@5 55.078 (55.781)
Epoch: [43][2100/7045]	Time 0.539 (0.241)	Data 0.489 (0.177)	Loss 2.9592 (3.1742)	Prec@1 31.250 (27.521)	Prec@5 61.328 (55.781)
Epoch: [43][2110/7045]	Time 0.102 (0.241)	Data 0.047 (0.177)	Loss 3.2129 (3.1746)	Prec@1 29.297 (27.515)	Prec@5 55.859 (55.776)
Epoch: [43][2120/7045]	Time 0.363 (0.241)	Data 0.311 (0.177)	Loss 3.2096 (3.1747)	Prec@1 28.906 (27.512)	Prec@5 54.688 (55.779)
Epoch: [43][2130/7045]	Time 0.139 (0.241)	Data 0.088 (0.177)	Loss 3.1225 (3.1746)	Prec@1 28.125 (27.510)	Prec@5 61.719 (55.782)
Epoch: [43][2140/7045]	Time 0.132 (0.241)	Data 0.081 (0.177)	Loss 3.2842 (3.1747)	Prec@1 27.344 (27.510)	Prec@5 51.172 (55.781)
Epoch: [43][2150/7045]	Time 0.099 (0.241)	Data 0.047 (0.177)	Loss 3.1405 (3.1747)	Prec@1 26.953 (27.509)	Prec@5 55.859 (55.783)
Epoch: [43][2160/7045]	Time 0.108 (0.241)	Data 0.009 (0.177)	Loss 3.0713 (3.1745)	Prec@1 28.125 (27.515)	Prec@5 60.547 (55.789)
Epoch: [43][2170/7045]	Time 0.246 (0.241)	Data 0.195 (0.177)	Loss 3.3076 (3.1747)	Prec@1 27.344 (27.512)	Prec@5 55.078 (55.788)
Epoch: [43][2180/7045]	Time 0.111 (0.241)	Data 0.059 (0.177)	Loss 3.1815 (3.1746)	Prec@1 30.078 (27.516)	Prec@5 56.641 (55.786)
Epoch: [43][2190/7045]	Time 0.103 (0.241)	Data 0.007 (0.177)	Loss 3.1839 (3.1746)	Prec@1 25.391 (27.518)	Prec@5 56.641 (55.791)
Epoch: [43][2200/7045]	Time 0.102 (0.241)	Data 0.002 (0.177)	Loss 3.1878 (3.1744)	Prec@1 25.000 (27.519)	Prec@5 56.641 (55.798)
Epoch: [43][2210/7045]	Time 0.112 (0.241)	Data 0.059 (0.177)	Loss 3.1977 (3.1746)	Prec@1 30.469 (27.522)	Prec@5 57.422 (55.792)
Epoch: [43][2220/7045]	Time 0.102 (0.241)	Data 0.003 (0.177)	Loss 3.3060 (3.1748)	Prec@1 25.781 (27.519)	Prec@5 50.391 (55.784)
Epoch: [43][2230/7045]	Time 0.143 (0.241)	Data 0.092 (0.177)	Loss 3.0383 (3.1745)	Prec@1 28.906 (27.522)	Prec@5 56.641 (55.789)
Epoch: [43][2240/7045]	Time 0.102 (0.241)	Data 0.005 (0.177)	Loss 3.0462 (3.1744)	Prec@1 29.688 (27.527)	Prec@5 59.766 (55.794)
Epoch: [43][2250/7045]	Time 0.294 (0.241)	Data 0.243 (0.177)	Loss 3.0785 (3.1744)	Prec@1 30.469 (27.524)	Prec@5 58.984 (55.796)
Epoch: [43][2260/7045]	Time 0.108 (0.241)	Data 0.055 (0.177)	Loss 3.0539 (3.1742)	Prec@1 30.078 (27.530)	Prec@5 60.547 (55.804)
Epoch: [43][2270/7045]	Time 0.165 (0.241)	Data 0.115 (0.177)	Loss 3.1250 (3.1742)	Prec@1 25.391 (27.530)	Prec@5 56.641 (55.802)
Epoch: [43][2280/7045]	Time 0.288 (0.241)	Data 0.237 (0.177)	Loss 3.2153 (3.1744)	Prec@1 26.953 (27.525)	Prec@5 55.078 (55.801)
Epoch: [43][2290/7045]	Time 0.179 (0.241)	Data 0.127 (0.177)	Loss 2.7826 (3.1740)	Prec@1 34.375 (27.533)	Prec@5 63.281 (55.809)
Epoch: [43][2300/7045]	Time 0.483 (0.241)	Data 0.431 (0.177)	Loss 2.9203 (3.1736)	Prec@1 31.641 (27.538)	Prec@5 58.203 (55.813)
Epoch: [43][2310/7045]	Time 0.181 (0.241)	Data 0.130 (0.177)	Loss 3.4112 (3.1736)	Prec@1 25.781 (27.539)	Prec@5 51.953 (55.814)
Epoch: [43][2320/7045]	Time 0.563 (0.241)	Data 0.507 (0.177)	Loss 3.0872 (3.1738)	Prec@1 26.953 (27.537)	Prec@5 58.594 (55.806)
Epoch: [43][2330/7045]	Time 0.101 (0.241)	Data 0.001 (0.177)	Loss 3.1817 (3.1739)	Prec@1 25.391 (27.535)	Prec@5 58.594 (55.803)
Epoch: [43][2340/7045]	Time 0.624 (0.241)	Data 0.573 (0.177)	Loss 3.1459 (3.1736)	Prec@1 26.172 (27.541)	Prec@5 54.688 (55.809)
Epoch: [43][2350/7045]	Time 0.100 (0.241)	Data 0.003 (0.177)	Loss 3.3727 (3.1735)	Prec@1 25.391 (27.535)	Prec@5 51.953 (55.809)
Epoch: [43][2360/7045]	Time 0.591 (0.241)	Data 0.540 (0.177)	Loss 3.1900 (3.1738)	Prec@1 28.906 (27.530)	Prec@5 58.984 (55.804)
Epoch: [43][2370/7045]	Time 0.102 (0.241)	Data 0.050 (0.177)	Loss 3.2356 (3.1740)	Prec@1 27.344 (27.522)	Prec@5 56.641 (55.803)
Epoch: [43][2380/7045]	Time 0.459 (0.241)	Data 0.400 (0.177)	Loss 3.1705 (3.1741)	Prec@1 28.125 (27.524)	Prec@5 55.469 (55.796)
Epoch: [43][2390/7045]	Time 0.102 (0.241)	Data 0.050 (0.177)	Loss 3.3171 (3.1743)	Prec@1 26.562 (27.518)	Prec@5 50.391 (55.791)
Epoch: [43][2400/7045]	Time 0.325 (0.241)	Data 0.272 (0.177)	Loss 3.2080 (3.1744)	Prec@1 28.516 (27.520)	Prec@5 55.078 (55.788)
Epoch: [43][2410/7045]	Time 0.101 (0.241)	Data 0.006 (0.177)	Loss 3.3368 (3.1746)	Prec@1 23.828 (27.515)	Prec@5 49.609 (55.785)
Epoch: [43][2420/7045]	Time 0.107 (0.241)	Data 0.003 (0.177)	Loss 3.0352 (3.1745)	Prec@1 26.562 (27.520)	Prec@5 56.250 (55.787)
Epoch: [43][2430/7045]	Time 0.102 (0.241)	Data 0.001 (0.177)	Loss 3.0587 (3.1744)	Prec@1 26.562 (27.522)	Prec@5 58.594 (55.790)
Epoch: [43][2440/7045]	Time 0.102 (0.241)	Data 0.001 (0.177)	Loss 3.2332 (3.1745)	Prec@1 28.906 (27.518)	Prec@5 52.344 (55.790)
Epoch: [43][2450/7045]	Time 0.102 (0.241)	Data 0.001 (0.177)	Loss 3.3873 (3.1749)	Prec@1 21.094 (27.509)	Prec@5 50.000 (55.782)
Epoch: [43][2460/7045]	Time 0.102 (0.241)	Data 0.044 (0.177)	Loss 3.0068 (3.1748)	Prec@1 28.906 (27.512)	Prec@5 61.328 (55.785)
Epoch: [43][2470/7045]	Time 0.101 (0.241)	Data 0.049 (0.177)	Loss 3.2923 (3.1749)	Prec@1 26.953 (27.505)	Prec@5 51.172 (55.783)
Epoch: [43][2480/7045]	Time 0.102 (0.241)	Data 0.050 (0.177)	Loss 3.3491 (3.1749)	Prec@1 23.047 (27.503)	Prec@5 54.297 (55.788)
Epoch: [43][2490/7045]	Time 0.250 (0.241)	Data 0.199 (0.177)	Loss 2.9920 (3.1747)	Prec@1 29.297 (27.506)	Prec@5 57.031 (55.792)
Epoch: [43][2500/7045]	Time 0.110 (0.241)	Data 0.059 (0.177)	Loss 3.2823 (3.1749)	Prec@1 25.000 (27.506)	Prec@5 51.172 (55.790)
Epoch: [43][2510/7045]	Time 0.353 (0.241)	Data 0.302 (0.177)	Loss 3.2519 (3.1752)	Prec@1 23.828 (27.496)	Prec@5 55.859 (55.788)
Epoch: [43][2520/7045]	Time 0.120 (0.241)	Data 0.069 (0.177)	Loss 2.9398 (3.1752)	Prec@1 32.422 (27.492)	Prec@5 61.328 (55.790)
Epoch: [43][2530/7045]	Time 0.520 (0.241)	Data 0.469 (0.177)	Loss 2.9906 (3.1750)	Prec@1 30.469 (27.496)	Prec@5 61.328 (55.791)
Epoch: [43][2540/7045]	Time 0.161 (0.241)	Data 0.111 (0.177)	Loss 3.0770 (3.1750)	Prec@1 28.516 (27.499)	Prec@5 58.594 (55.790)
Epoch: [43][2550/7045]	Time 0.656 (0.241)	Data 0.605 (0.177)	Loss 3.2281 (3.1751)	Prec@1 25.000 (27.499)	Prec@5 50.781 (55.782)
Epoch: [43][2560/7045]	Time 0.101 (0.241)	Data 0.001 (0.177)	Loss 3.2141 (3.1752)	Prec@1 24.609 (27.497)	Prec@5 53.125 (55.780)
Epoch: [43][2570/7045]	Time 0.675 (0.241)	Data 0.623 (0.177)	Loss 3.4803 (3.1755)	Prec@1 20.703 (27.493)	Prec@5 52.734 (55.775)
Epoch: [43][2580/7045]	Time 0.101 (0.241)	Data 0.001 (0.176)	Loss 3.1909 (3.1757)	Prec@1 28.125 (27.485)	Prec@5 54.688 (55.771)
Epoch: [43][2590/7045]	Time 0.626 (0.241)	Data 0.569 (0.177)	Loss 3.1071 (3.1758)	Prec@1 29.297 (27.487)	Prec@5 57.031 (55.771)
Epoch: [43][2600/7045]	Time 0.101 (0.241)	Data 0.005 (0.176)	Loss 3.1225 (3.1759)	Prec@1 30.078 (27.487)	Prec@5 57.031 (55.770)
Epoch: [43][2610/7045]	Time 0.643 (0.241)	Data 0.593 (0.176)	Loss 3.2046 (3.1761)	Prec@1 30.859 (27.487)	Prec@5 53.125 (55.766)
Epoch: [43][2620/7045]	Time 0.110 (0.241)	Data 0.059 (0.176)	Loss 3.2532 (3.1764)	Prec@1 22.266 (27.483)	Prec@5 53.906 (55.762)
Epoch: [43][2630/7045]	Time 0.651 (0.241)	Data 0.599 (0.176)	Loss 3.2311 (3.1761)	Prec@1 29.688 (27.487)	Prec@5 53.516 (55.769)
Epoch: [43][2640/7045]	Time 0.129 (0.241)	Data 0.077 (0.176)	Loss 3.2460 (3.1762)	Prec@1 23.438 (27.488)	Prec@5 56.641 (55.767)
Epoch: [43][2650/7045]	Time 0.624 (0.241)	Data 0.566 (0.176)	Loss 3.2291 (3.1761)	Prec@1 28.516 (27.489)	Prec@5 56.641 (55.770)
Epoch: [43][2660/7045]	Time 0.156 (0.241)	Data 0.106 (0.176)	Loss 3.0594 (3.1760)	Prec@1 27.344 (27.488)	Prec@5 60.156 (55.772)
Epoch: [43][2670/7045]	Time 0.522 (0.241)	Data 0.471 (0.176)	Loss 3.2587 (3.1762)	Prec@1 29.688 (27.482)	Prec@5 56.641 (55.766)
Epoch: [43][2680/7045]	Time 0.185 (0.241)	Data 0.135 (0.176)	Loss 3.1835 (3.1763)	Prec@1 26.953 (27.482)	Prec@5 53.906 (55.765)
Epoch: [43][2690/7045]	Time 0.330 (0.241)	Data 0.280 (0.176)	Loss 3.1251 (3.1762)	Prec@1 32.422 (27.489)	Prec@5 55.078 (55.766)
Epoch: [43][2700/7045]	Time 0.217 (0.241)	Data 0.166 (0.176)	Loss 3.0557 (3.1762)	Prec@1 28.125 (27.489)	Prec@5 59.375 (55.768)
Epoch: [43][2710/7045]	Time 0.258 (0.241)	Data 0.200 (0.176)	Loss 3.2190 (3.1760)	Prec@1 24.609 (27.489)	Prec@5 57.812 (55.774)
Epoch: [43][2720/7045]	Time 0.236 (0.241)	Data 0.186 (0.176)	Loss 3.2267 (3.1761)	Prec@1 27.734 (27.487)	Prec@5 56.641 (55.768)
Epoch: [43][2730/7045]	Time 0.228 (0.241)	Data 0.170 (0.177)	Loss 3.2362 (3.1762)	Prec@1 28.516 (27.488)	Prec@5 53.125 (55.768)
Epoch: [43][2740/7045]	Time 0.204 (0.241)	Data 0.153 (0.177)	Loss 3.4708 (3.1762)	Prec@1 23.047 (27.487)	Prec@5 49.609 (55.769)
Epoch: [43][2750/7045]	Time 0.101 (0.241)	Data 0.048 (0.177)	Loss 3.0309 (3.1762)	Prec@1 28.516 (27.483)	Prec@5 59.375 (55.771)
Epoch: [43][2760/7045]	Time 0.183 (0.241)	Data 0.132 (0.177)	Loss 3.1805 (3.1760)	Prec@1 26.172 (27.488)	Prec@5 52.344 (55.774)
Epoch: [43][2770/7045]	Time 0.109 (0.241)	Data 0.006 (0.177)	Loss 3.1396 (3.1758)	Prec@1 28.516 (27.485)	Prec@5 55.078 (55.780)
Epoch: [43][2780/7045]	Time 0.172 (0.241)	Data 0.120 (0.177)	Loss 3.1452 (3.1758)	Prec@1 28.906 (27.487)	Prec@5 56.641 (55.782)
Epoch: [43][2790/7045]	Time 0.107 (0.241)	Data 0.056 (0.177)	Loss 3.1404 (3.1759)	Prec@1 29.297 (27.487)	Prec@5 58.984 (55.785)
Epoch: [43][2800/7045]	Time 0.167 (0.241)	Data 0.116 (0.177)	Loss 3.2119 (3.1755)	Prec@1 26.953 (27.493)	Prec@5 58.203 (55.792)
Epoch: [43][2810/7045]	Time 0.134 (0.241)	Data 0.083 (0.177)	Loss 3.1842 (3.1754)	Prec@1 26.562 (27.496)	Prec@5 57.422 (55.796)
Epoch: [43][2820/7045]	Time 0.162 (0.241)	Data 0.110 (0.177)	Loss 3.2395 (3.1755)	Prec@1 29.297 (27.495)	Prec@5 48.438 (55.791)
Epoch: [43][2830/7045]	Time 0.242 (0.241)	Data 0.191 (0.177)	Loss 3.0705 (3.1756)	Prec@1 32.031 (27.492)	Prec@5 60.547 (55.793)
Epoch: [43][2840/7045]	Time 0.108 (0.241)	Data 0.056 (0.177)	Loss 3.3110 (3.1757)	Prec@1 24.219 (27.492)	Prec@5 50.391 (55.786)
Epoch: [43][2850/7045]	Time 0.333 (0.241)	Data 0.276 (0.177)	Loss 3.2178 (3.1757)	Prec@1 22.266 (27.487)	Prec@5 55.859 (55.786)
Epoch: [43][2860/7045]	Time 0.101 (0.241)	Data 0.008 (0.177)	Loss 3.1049 (3.1759)	Prec@1 26.953 (27.481)	Prec@5 56.641 (55.781)
Epoch: [43][2870/7045]	Time 0.341 (0.241)	Data 0.284 (0.177)	Loss 3.1064 (3.1758)	Prec@1 30.078 (27.481)	Prec@5 54.688 (55.783)
Epoch: [43][2880/7045]	Time 0.237 (0.241)	Data 0.187 (0.177)	Loss 3.1535 (3.1759)	Prec@1 30.469 (27.480)	Prec@5 57.812 (55.781)
Epoch: [43][2890/7045]	Time 0.329 (0.241)	Data 0.273 (0.177)	Loss 3.2905 (3.1762)	Prec@1 25.391 (27.474)	Prec@5 54.688 (55.776)
Epoch: [43][2900/7045]	Time 0.512 (0.241)	Data 0.461 (0.177)	Loss 3.1132 (3.1760)	Prec@1 24.609 (27.475)	Prec@5 53.516 (55.774)
Epoch: [43][2910/7045]	Time 0.247 (0.241)	Data 0.196 (0.177)	Loss 3.2620 (3.1761)	Prec@1 23.828 (27.474)	Prec@5 52.734 (55.773)
Epoch: [43][2920/7045]	Time 0.494 (0.241)	Data 0.435 (0.177)	Loss 3.3465 (3.1761)	Prec@1 23.828 (27.475)	Prec@5 50.000 (55.774)
Epoch: [43][2930/7045]	Time 0.332 (0.241)	Data 0.280 (0.177)	Loss 2.9841 (3.1762)	Prec@1 30.469 (27.475)	Prec@5 58.984 (55.771)
Epoch: [43][2940/7045]	Time 0.440 (0.241)	Data 0.390 (0.177)	Loss 3.1178 (3.1763)	Prec@1 26.953 (27.473)	Prec@5 53.516 (55.766)
Epoch: [43][2950/7045]	Time 0.274 (0.241)	Data 0.223 (0.177)	Loss 3.1447 (3.1761)	Prec@1 25.000 (27.474)	Prec@5 58.984 (55.769)
Epoch: [43][2960/7045]	Time 0.358 (0.241)	Data 0.308 (0.177)	Loss 3.0813 (3.1762)	Prec@1 28.125 (27.476)	Prec@5 58.594 (55.768)
Epoch: [43][2970/7045]	Time 0.162 (0.241)	Data 0.106 (0.177)	Loss 3.2348 (3.1763)	Prec@1 26.953 (27.477)	Prec@5 55.859 (55.767)
Epoch: [43][2980/7045]	Time 0.358 (0.241)	Data 0.308 (0.177)	Loss 3.4541 (3.1762)	Prec@1 24.219 (27.483)	Prec@5 48.438 (55.768)
Epoch: [43][2990/7045]	Time 0.102 (0.241)	Data 0.010 (0.177)	Loss 3.1209 (3.1761)	Prec@1 25.000 (27.486)	Prec@5 57.812 (55.771)
Epoch: [43][3000/7045]	Time 0.188 (0.241)	Data 0.137 (0.177)	Loss 3.2216 (3.1759)	Prec@1 20.703 (27.484)	Prec@5 53.516 (55.775)
Epoch: [43][3010/7045]	Time 0.103 (0.241)	Data 0.007 (0.177)	Loss 3.2566 (3.1759)	Prec@1 25.391 (27.482)	Prec@5 52.344 (55.777)
Epoch: [43][3020/7045]	Time 0.189 (0.241)	Data 0.138 (0.177)	Loss 3.4030 (3.1761)	Prec@1 23.438 (27.474)	Prec@5 53.906 (55.775)
Epoch: [43][3030/7045]	Time 0.101 (0.241)	Data 0.008 (0.177)	Loss 3.3236 (3.1761)	Prec@1 22.266 (27.474)	Prec@5 51.953 (55.771)
Epoch: [43][3040/7045]	Time 0.195 (0.241)	Data 0.144 (0.177)	Loss 3.2022 (3.1761)	Prec@1 27.344 (27.472)	Prec@5 54.688 (55.772)
Epoch: [43][3050/7045]	Time 0.107 (0.241)	Data 0.004 (0.177)	Loss 3.3454 (3.1761)	Prec@1 22.656 (27.473)	Prec@5 52.734 (55.775)
Epoch: [43][3060/7045]	Time 0.161 (0.241)	Data 0.110 (0.177)	Loss 3.1596 (3.1759)	Prec@1 30.078 (27.473)	Prec@5 54.688 (55.779)
Epoch: [43][3070/7045]	Time 0.102 (0.241)	Data 0.003 (0.177)	Loss 3.2042 (3.1759)	Prec@1 28.516 (27.473)	Prec@5 53.125 (55.779)
Epoch: [43][3080/7045]	Time 0.133 (0.241)	Data 0.081 (0.176)	Loss 3.2039 (3.1762)	Prec@1 27.734 (27.467)	Prec@5 56.250 (55.770)
Epoch: [43][3090/7045]	Time 0.100 (0.241)	Data 0.001 (0.176)	Loss 3.4189 (3.1763)	Prec@1 25.391 (27.468)	Prec@5 50.391 (55.768)
Epoch: [43][3100/7045]	Time 0.254 (0.241)	Data 0.203 (0.176)	Loss 3.2878 (3.1762)	Prec@1 29.688 (27.473)	Prec@5 53.516 (55.768)
Epoch: [43][3110/7045]	Time 0.109 (0.241)	Data 0.001 (0.176)	Loss 3.3115 (3.1763)	Prec@1 23.438 (27.472)	Prec@5 50.000 (55.765)
Epoch: [43][3120/7045]	Time 0.313 (0.241)	Data 0.262 (0.176)	Loss 3.1384 (3.1764)	Prec@1 30.078 (27.467)	Prec@5 55.078 (55.763)
Epoch: [43][3130/7045]	Time 0.108 (0.241)	Data 0.001 (0.176)	Loss 3.2036 (3.1765)	Prec@1 25.000 (27.463)	Prec@5 57.422 (55.762)
Epoch: [43][3140/7045]	Time 0.542 (0.241)	Data 0.491 (0.176)	Loss 3.1830 (3.1765)	Prec@1 26.172 (27.462)	Prec@5 57.812 (55.763)
Epoch: [43][3150/7045]	Time 0.103 (0.241)	Data 0.003 (0.176)	Loss 3.4515 (3.1765)	Prec@1 23.828 (27.462)	Prec@5 48.438 (55.764)
Epoch: [43][3160/7045]	Time 0.591 (0.241)	Data 0.530 (0.176)	Loss 3.2760 (3.1765)	Prec@1 25.781 (27.463)	Prec@5 50.391 (55.762)
Epoch: [43][3170/7045]	Time 0.122 (0.241)	Data 0.063 (0.176)	Loss 3.3054 (3.1767)	Prec@1 27.734 (27.460)	Prec@5 52.344 (55.757)
Epoch: [43][3180/7045]	Time 0.586 (0.241)	Data 0.537 (0.176)	Loss 2.8418 (3.1768)	Prec@1 32.031 (27.458)	Prec@5 64.453 (55.755)
Epoch: [43][3190/7045]	Time 0.242 (0.241)	Data 0.186 (0.176)	Loss 3.3410 (3.1768)	Prec@1 29.297 (27.459)	Prec@5 51.953 (55.754)
Epoch: [43][3200/7045]	Time 0.493 (0.241)	Data 0.440 (0.176)	Loss 3.2159 (3.1769)	Prec@1 26.953 (27.460)	Prec@5 55.859 (55.751)
Epoch: [43][3210/7045]	Time 0.134 (0.241)	Data 0.082 (0.176)	Loss 3.1899 (3.1768)	Prec@1 27.734 (27.460)	Prec@5 56.250 (55.754)
Epoch: [43][3220/7045]	Time 0.347 (0.241)	Data 0.290 (0.176)	Loss 3.2931 (3.1769)	Prec@1 27.344 (27.457)	Prec@5 53.516 (55.753)
Epoch: [43][3230/7045]	Time 0.260 (0.241)	Data 0.208 (0.176)	Loss 3.2219 (3.1768)	Prec@1 21.484 (27.461)	Prec@5 53.516 (55.756)
Epoch: [43][3240/7045]	Time 0.108 (0.241)	Data 0.006 (0.176)	Loss 3.2828 (3.1769)	Prec@1 26.172 (27.460)	Prec@5 52.734 (55.756)
Epoch: [43][3250/7045]	Time 0.243 (0.241)	Data 0.192 (0.176)	Loss 3.1701 (3.1768)	Prec@1 28.516 (27.459)	Prec@5 60.156 (55.759)
Epoch: [43][3260/7045]	Time 0.206 (0.241)	Data 0.152 (0.176)	Loss 3.0212 (3.1766)	Prec@1 26.953 (27.461)	Prec@5 57.812 (55.763)
Epoch: [43][3270/7045]	Time 0.258 (0.241)	Data 0.204 (0.176)	Loss 3.0866 (3.1767)	Prec@1 31.641 (27.463)	Prec@5 58.203 (55.764)
Epoch: [43][3280/7045]	Time 0.104 (0.241)	Data 0.052 (0.176)	Loss 2.8666 (3.1766)	Prec@1 31.250 (27.464)	Prec@5 63.672 (55.767)
Epoch: [43][3290/7045]	Time 0.111 (0.241)	Data 0.059 (0.176)	Loss 3.1032 (3.1765)	Prec@1 30.469 (27.469)	Prec@5 55.469 (55.770)
Epoch: [43][3300/7045]	Time 0.108 (0.241)	Data 0.057 (0.176)	Loss 3.0404 (3.1762)	Prec@1 29.688 (27.471)	Prec@5 59.375 (55.776)
Epoch: [43][3310/7045]	Time 0.117 (0.241)	Data 0.065 (0.176)	Loss 3.2457 (3.1764)	Prec@1 24.609 (27.470)	Prec@5 57.031 (55.771)
Epoch: [43][3320/7045]	Time 0.338 (0.241)	Data 0.287 (0.177)	Loss 3.1382 (3.1766)	Prec@1 30.469 (27.471)	Prec@5 53.516 (55.764)
Epoch: [43][3330/7045]	Time 0.100 (0.241)	Data 0.001 (0.177)	Loss 3.4071 (3.1766)	Prec@1 21.875 (27.469)	Prec@5 49.609 (55.767)
Epoch: [43][3340/7045]	Time 0.482 (0.241)	Data 0.430 (0.177)	Loss 3.3406 (3.1767)	Prec@1 25.391 (27.468)	Prec@5 52.344 (55.762)
Epoch: [43][3350/7045]	Time 0.102 (0.241)	Data 0.049 (0.177)	Loss 3.1005 (3.1770)	Prec@1 25.781 (27.465)	Prec@5 55.078 (55.755)
Epoch: [43][3360/7045]	Time 0.467 (0.241)	Data 0.411 (0.177)	Loss 3.2709 (3.1770)	Prec@1 26.562 (27.465)	Prec@5 56.641 (55.757)
Epoch: [43][3370/7045]	Time 0.247 (0.241)	Data 0.196 (0.177)	Loss 3.1478 (3.1770)	Prec@1 25.781 (27.460)	Prec@5 55.078 (55.754)
Epoch: [43][3380/7045]	Time 0.399 (0.241)	Data 0.348 (0.177)	Loss 3.0660 (3.1771)	Prec@1 28.906 (27.460)	Prec@5 61.328 (55.754)
Epoch: [43][3390/7045]	Time 0.247 (0.241)	Data 0.196 (0.177)	Loss 3.2572 (3.1773)	Prec@1 21.484 (27.457)	Prec@5 53.516 (55.750)
Epoch: [43][3400/7045]	Time 0.131 (0.241)	Data 0.080 (0.177)	Loss 3.2182 (3.1773)	Prec@1 27.734 (27.457)	Prec@5 57.031 (55.752)
Epoch: [43][3410/7045]	Time 0.310 (0.241)	Data 0.258 (0.177)	Loss 3.2415 (3.1774)	Prec@1 25.781 (27.455)	Prec@5 53.516 (55.749)
Epoch: [43][3420/7045]	Time 0.118 (0.241)	Data 0.060 (0.177)	Loss 3.1321 (3.1774)	Prec@1 25.781 (27.452)	Prec@5 55.469 (55.746)
Epoch: [43][3430/7045]	Time 0.224 (0.241)	Data 0.173 (0.177)	Loss 3.2593 (3.1774)	Prec@1 29.297 (27.455)	Prec@5 52.734 (55.750)
Epoch: [43][3440/7045]	Time 0.226 (0.241)	Data 0.169 (0.177)	Loss 3.0267 (3.1772)	Prec@1 28.906 (27.460)	Prec@5 60.156 (55.758)
Epoch: [43][3450/7045]	Time 0.153 (0.241)	Data 0.101 (0.177)	Loss 3.0625 (3.1772)	Prec@1 27.734 (27.459)	Prec@5 58.594 (55.760)
Epoch: [43][3460/7045]	Time 0.190 (0.241)	Data 0.139 (0.177)	Loss 3.3742 (3.1772)	Prec@1 25.391 (27.459)	Prec@5 52.734 (55.759)
Epoch: [43][3470/7045]	Time 0.153 (0.241)	Data 0.102 (0.177)	Loss 3.2572 (3.1772)	Prec@1 24.219 (27.456)	Prec@5 55.078 (55.759)
Epoch: [43][3480/7045]	Time 0.189 (0.241)	Data 0.138 (0.177)	Loss 2.9290 (3.1772)	Prec@1 34.375 (27.457)	Prec@5 60.156 (55.760)
Epoch: [43][3490/7045]	Time 0.400 (0.241)	Data 0.349 (0.177)	Loss 3.1187 (3.1771)	Prec@1 27.344 (27.456)	Prec@5 57.031 (55.760)
Epoch: [43][3500/7045]	Time 0.105 (0.241)	Data 0.053 (0.177)	Loss 3.1778 (3.1773)	Prec@1 26.562 (27.454)	Prec@5 54.688 (55.758)
Epoch: [43][3510/7045]	Time 0.509 (0.241)	Data 0.459 (0.177)	Loss 3.0973 (3.1771)	Prec@1 26.172 (27.458)	Prec@5 55.078 (55.761)
Epoch: [43][3520/7045]	Time 0.109 (0.241)	Data 0.001 (0.177)	Loss 3.1672 (3.1772)	Prec@1 31.250 (27.456)	Prec@5 54.688 (55.757)
Epoch: [43][3530/7045]	Time 0.520 (0.241)	Data 0.469 (0.177)	Loss 3.0896 (3.1771)	Prec@1 31.641 (27.461)	Prec@5 59.766 (55.755)
Epoch: [43][3540/7045]	Time 0.249 (0.241)	Data 0.199 (0.177)	Loss 3.3353 (3.1773)	Prec@1 23.047 (27.457)	Prec@5 52.734 (55.753)
Epoch: [43][3550/7045]	Time 0.399 (0.241)	Data 0.348 (0.177)	Loss 3.3199 (3.1773)	Prec@1 26.953 (27.458)	Prec@5 55.469 (55.755)
Epoch: [43][3560/7045]	Time 0.263 (0.241)	Data 0.211 (0.177)	Loss 3.0117 (3.1772)	Prec@1 33.203 (27.460)	Prec@5 60.156 (55.757)
Epoch: [43][3570/7045]	Time 0.254 (0.241)	Data 0.203 (0.177)	Loss 3.3217 (3.1773)	Prec@1 28.516 (27.462)	Prec@5 54.297 (55.760)
Epoch: [43][3580/7045]	Time 0.151 (0.241)	Data 0.101 (0.177)	Loss 3.3384 (3.1774)	Prec@1 24.219 (27.456)	Prec@5 50.781 (55.754)
Epoch: [43][3590/7045]	Time 0.102 (0.241)	Data 0.050 (0.177)	Loss 3.2052 (3.1774)	Prec@1 26.172 (27.455)	Prec@5 53.906 (55.755)
Epoch: [43][3600/7045]	Time 0.148 (0.241)	Data 0.097 (0.177)	Loss 3.0605 (3.1774)	Prec@1 27.734 (27.456)	Prec@5 56.641 (55.751)
Epoch: [43][3610/7045]	Time 0.148 (0.241)	Data 0.097 (0.177)	Loss 3.1282 (3.1774)	Prec@1 26.172 (27.454)	Prec@5 55.078 (55.753)
Epoch: [43][3620/7045]	Time 0.104 (0.241)	Data 0.052 (0.177)	Loss 3.3226 (3.1774)	Prec@1 23.047 (27.452)	Prec@5 51.562 (55.749)
Epoch: [43][3630/7045]	Time 0.115 (0.241)	Data 0.065 (0.177)	Loss 3.1431 (3.1775)	Prec@1 29.688 (27.452)	Prec@5 57.422 (55.748)
Epoch: [43][3640/7045]	Time 0.303 (0.241)	Data 0.252 (0.177)	Loss 3.3204 (3.1776)	Prec@1 25.000 (27.452)	Prec@5 53.906 (55.748)
Epoch: [43][3650/7045]	Time 0.126 (0.241)	Data 0.075 (0.177)	Loss 3.3094 (3.1776)	Prec@1 25.391 (27.452)	Prec@5 52.344 (55.749)
Epoch: [43][3660/7045]	Time 0.409 (0.241)	Data 0.357 (0.177)	Loss 3.4603 (3.1777)	Prec@1 24.219 (27.451)	Prec@5 51.562 (55.748)
Epoch: [43][3670/7045]	Time 0.102 (0.241)	Data 0.001 (0.177)	Loss 3.0771 (3.1777)	Prec@1 29.688 (27.451)	Prec@5 58.984 (55.748)
Epoch: [43][3680/7045]	Time 0.430 (0.241)	Data 0.372 (0.177)	Loss 3.1325 (3.1778)	Prec@1 26.953 (27.448)	Prec@5 57.031 (55.747)
Epoch: [43][3690/7045]	Time 0.262 (0.241)	Data 0.212 (0.177)	Loss 3.1518 (3.1780)	Prec@1 30.469 (27.443)	Prec@5 58.594 (55.745)
Epoch: [43][3700/7045]	Time 0.441 (0.241)	Data 0.385 (0.177)	Loss 3.2145 (3.1779)	Prec@1 29.688 (27.444)	Prec@5 57.031 (55.747)
Epoch: [43][3710/7045]	Time 0.449 (0.241)	Data 0.398 (0.177)	Loss 2.8311 (3.1778)	Prec@1 33.594 (27.446)	Prec@5 64.844 (55.749)
Epoch: [43][3720/7045]	Time 0.276 (0.241)	Data 0.225 (0.177)	Loss 3.3763 (3.1780)	Prec@1 24.219 (27.444)	Prec@5 50.391 (55.745)
Epoch: [43][3730/7045]	Time 0.484 (0.241)	Data 0.434 (0.177)	Loss 3.0268 (3.1780)	Prec@1 30.078 (27.443)	Prec@5 57.422 (55.742)
Epoch: [43][3740/7045]	Time 0.178 (0.241)	Data 0.126 (0.177)	Loss 3.1946 (3.1780)	Prec@1 25.781 (27.442)	Prec@5 58.594 (55.742)
Epoch: [43][3750/7045]	Time 0.382 (0.241)	Data 0.332 (0.177)	Loss 3.0187 (3.1780)	Prec@1 31.250 (27.443)	Prec@5 58.203 (55.740)
Epoch: [43][3760/7045]	Time 0.109 (0.241)	Data 0.057 (0.177)	Loss 3.2391 (3.1779)	Prec@1 27.734 (27.443)	Prec@5 52.344 (55.741)
Epoch: [43][3770/7045]	Time 0.364 (0.241)	Data 0.313 (0.177)	Loss 3.2067 (3.1778)	Prec@1 30.859 (27.446)	Prec@5 52.344 (55.742)
Epoch: [43][3780/7045]	Time 0.102 (0.241)	Data 0.002 (0.177)	Loss 3.2015 (3.1779)	Prec@1 26.562 (27.446)	Prec@5 57.422 (55.739)
Epoch: [43][3790/7045]	Time 0.192 (0.241)	Data 0.140 (0.177)	Loss 3.5406 (3.1780)	Prec@1 24.609 (27.443)	Prec@5 46.875 (55.735)
Epoch: [43][3800/7045]	Time 0.102 (0.241)	Data 0.045 (0.177)	Loss 3.0945 (3.1779)	Prec@1 28.906 (27.445)	Prec@5 58.203 (55.737)
Epoch: [43][3810/7045]	Time 0.100 (0.241)	Data 0.001 (0.177)	Loss 3.2169 (3.1778)	Prec@1 20.703 (27.445)	Prec@5 52.344 (55.738)
Epoch: [43][3820/7045]	Time 0.101 (0.241)	Data 0.048 (0.177)	Loss 3.4389 (3.1778)	Prec@1 23.438 (27.443)	Prec@5 52.344 (55.738)
Epoch: [43][3830/7045]	Time 0.134 (0.241)	Data 0.082 (0.177)	Loss 3.1041 (3.1779)	Prec@1 28.516 (27.441)	Prec@5 61.719 (55.737)
Epoch: [43][3840/7045]	Time 0.101 (0.241)	Data 0.045 (0.177)	Loss 3.0887 (3.1778)	Prec@1 27.734 (27.440)	Prec@5 58.594 (55.740)
Epoch: [43][3850/7045]	Time 0.117 (0.241)	Data 0.066 (0.177)	Loss 3.1297 (3.1777)	Prec@1 27.734 (27.441)	Prec@5 53.906 (55.742)
Epoch: [43][3860/7045]	Time 0.102 (0.241)	Data 0.043 (0.177)	Loss 3.0287 (3.1777)	Prec@1 30.078 (27.440)	Prec@5 58.594 (55.741)
Epoch: [43][3870/7045]	Time 0.131 (0.241)	Data 0.079 (0.177)	Loss 3.2602 (3.1778)	Prec@1 27.344 (27.437)	Prec@5 50.391 (55.735)
Epoch: [43][3880/7045]	Time 0.103 (0.241)	Data 0.003 (0.177)	Loss 3.1526 (3.1778)	Prec@1 27.344 (27.436)	Prec@5 59.766 (55.736)
Epoch: [43][3890/7045]	Time 0.101 (0.241)	Data 0.048 (0.177)	Loss 3.2408 (3.1780)	Prec@1 25.781 (27.431)	Prec@5 54.688 (55.731)
Epoch: [43][3900/7045]	Time 0.103 (0.241)	Data 0.001 (0.177)	Loss 2.9604 (3.1781)	Prec@1 30.469 (27.430)	Prec@5 57.812 (55.728)
Epoch: [43][3910/7045]	Time 0.103 (0.241)	Data 0.001 (0.177)	Loss 3.0878 (3.1781)	Prec@1 27.344 (27.428)	Prec@5 60.547 (55.729)
Epoch: [43][3920/7045]	Time 0.100 (0.241)	Data 0.004 (0.177)	Loss 3.3023 (3.1781)	Prec@1 23.047 (27.429)	Prec@5 52.734 (55.729)
Epoch: [43][3930/7045]	Time 0.101 (0.241)	Data 0.003 (0.177)	Loss 3.1955 (3.1782)	Prec@1 27.344 (27.428)	Prec@5 58.594 (55.728)
Epoch: [43][3940/7045]	Time 0.102 (0.241)	Data 0.001 (0.177)	Loss 3.2530 (3.1782)	Prec@1 25.781 (27.428)	Prec@5 55.078 (55.728)
Epoch: [43][3950/7045]	Time 0.101 (0.241)	Data 0.007 (0.177)	Loss 3.2223 (3.1781)	Prec@1 23.828 (27.428)	Prec@5 53.516 (55.731)
Epoch: [43][3960/7045]	Time 0.102 (0.241)	Data 0.005 (0.177)	Loss 3.1942 (3.1780)	Prec@1 31.641 (27.432)	Prec@5 55.469 (55.732)
Epoch: [43][3970/7045]	Time 0.099 (0.241)	Data 0.001 (0.177)	Loss 3.0607 (3.1781)	Prec@1 30.078 (27.433)	Prec@5 58.594 (55.729)
Epoch: [43][3980/7045]	Time 0.101 (0.241)	Data 0.004 (0.177)	Loss 3.3391 (3.1782)	Prec@1 23.828 (27.431)	Prec@5 53.906 (55.730)
Epoch: [43][3990/7045]	Time 0.102 (0.241)	Data 0.001 (0.177)	Loss 3.1853 (3.1781)	Prec@1 26.953 (27.432)	Prec@5 55.859 (55.733)
Epoch: [43][4000/7045]	Time 0.101 (0.241)	Data 0.007 (0.177)	Loss 3.3179 (3.1781)	Prec@1 27.344 (27.431)	Prec@5 52.344 (55.734)
Epoch: [43][4010/7045]	Time 0.102 (0.241)	Data 0.001 (0.177)	Loss 2.9063 (3.1780)	Prec@1 28.516 (27.433)	Prec@5 63.281 (55.737)
Epoch: [43][4020/7045]	Time 0.101 (0.241)	Data 0.005 (0.177)	Loss 2.9400 (3.1779)	Prec@1 31.250 (27.431)	Prec@5 59.766 (55.740)
Epoch: [43][4030/7045]	Time 0.101 (0.241)	Data 0.001 (0.177)	Loss 3.1027 (3.1780)	Prec@1 33.203 (27.432)	Prec@5 55.469 (55.737)
Epoch: [43][4040/7045]	Time 0.102 (0.241)	Data 0.004 (0.177)	Loss 3.2758 (3.1778)	Prec@1 26.172 (27.433)	Prec@5 53.516 (55.741)
Epoch: [43][4050/7045]	Time 0.101 (0.241)	Data 0.007 (0.177)	Loss 3.2031 (3.1777)	Prec@1 23.828 (27.434)	Prec@5 52.734 (55.744)
Epoch: [43][4060/7045]	Time 0.102 (0.241)	Data 0.008 (0.177)	Loss 3.3234 (3.1777)	Prec@1 23.438 (27.432)	Prec@5 53.125 (55.745)
Epoch: [43][4070/7045]	Time 0.103 (0.241)	Data 0.004 (0.177)	Loss 3.2160 (3.1779)	Prec@1 25.781 (27.430)	Prec@5 55.078 (55.740)
Epoch: [43][4080/7045]	Time 0.102 (0.241)	Data 0.045 (0.177)	Loss 3.3010 (3.1780)	Prec@1 23.047 (27.427)	Prec@5 51.953 (55.738)
Epoch: [43][4090/7045]	Time 0.106 (0.241)	Data 0.053 (0.177)	Loss 3.2523 (3.1780)	Prec@1 27.734 (27.426)	Prec@5 53.906 (55.737)
Epoch: [43][4100/7045]	Time 0.100 (0.241)	Data 0.046 (0.177)	Loss 3.2805 (3.1781)	Prec@1 23.438 (27.423)	Prec@5 53.516 (55.735)
Epoch: [43][4110/7045]	Time 0.101 (0.241)	Data 0.046 (0.177)	Loss 3.2032 (3.1780)	Prec@1 23.047 (27.420)	Prec@5 54.297 (55.733)
Epoch: [43][4120/7045]	Time 0.123 (0.241)	Data 0.070 (0.177)	Loss 2.9681 (3.1779)	Prec@1 31.641 (27.423)	Prec@5 62.891 (55.733)
Epoch: [43][4130/7045]	Time 0.105 (0.241)	Data 0.054 (0.177)	Loss 3.1572 (3.1779)	Prec@1 27.344 (27.422)	Prec@5 57.812 (55.738)
Epoch: [43][4140/7045]	Time 0.101 (0.241)	Data 0.050 (0.177)	Loss 3.3003 (3.1779)	Prec@1 28.906 (27.421)	Prec@5 53.906 (55.736)
Epoch: [43][4150/7045]	Time 0.155 (0.241)	Data 0.104 (0.177)	Loss 3.2124 (3.1780)	Prec@1 27.344 (27.422)	Prec@5 55.859 (55.735)
Epoch: [43][4160/7045]	Time 0.152 (0.241)	Data 0.101 (0.177)	Loss 3.0546 (3.1780)	Prec@1 27.344 (27.423)	Prec@5 58.203 (55.737)
Epoch: [43][4170/7045]	Time 0.214 (0.241)	Data 0.162 (0.177)	Loss 3.3492 (3.1781)	Prec@1 26.172 (27.421)	Prec@5 51.172 (55.738)
Epoch: [43][4180/7045]	Time 0.127 (0.241)	Data 0.076 (0.177)	Loss 2.9889 (3.1780)	Prec@1 30.078 (27.423)	Prec@5 56.641 (55.735)
Epoch: [43][4190/7045]	Time 0.154 (0.241)	Data 0.103 (0.177)	Loss 3.1973 (3.1779)	Prec@1 29.688 (27.426)	Prec@5 55.469 (55.737)
Epoch: [43][4200/7045]	Time 0.101 (0.241)	Data 0.049 (0.177)	Loss 3.1683 (3.1779)	Prec@1 27.734 (27.427)	Prec@5 56.641 (55.735)
Epoch: [43][4210/7045]	Time 0.165 (0.241)	Data 0.114 (0.177)	Loss 3.2979 (3.1780)	Prec@1 26.562 (27.425)	Prec@5 52.734 (55.732)
Epoch: [43][4220/7045]	Time 0.103 (0.241)	Data 0.004 (0.177)	Loss 3.0017 (3.1780)	Prec@1 30.859 (27.424)	Prec@5 60.156 (55.733)
Epoch: [43][4230/7045]	Time 0.172 (0.241)	Data 0.121 (0.177)	Loss 3.3296 (3.1781)	Prec@1 23.438 (27.421)	Prec@5 48.438 (55.729)
Epoch: [43][4240/7045]	Time 0.102 (0.241)	Data 0.002 (0.177)	Loss 3.3629 (3.1780)	Prec@1 24.609 (27.421)	Prec@5 51.172 (55.728)
Epoch: [43][4250/7045]	Time 0.210 (0.241)	Data 0.159 (0.177)	Loss 3.2377 (3.1779)	Prec@1 27.734 (27.426)	Prec@5 59.375 (55.730)
Epoch: [43][4260/7045]	Time 0.102 (0.241)	Data 0.002 (0.177)	Loss 3.1141 (3.1779)	Prec@1 26.172 (27.425)	Prec@5 59.766 (55.732)
Epoch: [43][4270/7045]	Time 0.252 (0.241)	Data 0.200 (0.177)	Loss 3.0770 (3.1779)	Prec@1 26.562 (27.426)	Prec@5 57.812 (55.735)
Epoch: [43][4280/7045]	Time 0.102 (0.241)	Data 0.008 (0.177)	Loss 3.0665 (3.1777)	Prec@1 31.250 (27.428)	Prec@5 56.641 (55.737)
Epoch: [43][4290/7045]	Time 0.283 (0.241)	Data 0.231 (0.177)	Loss 3.2112 (3.1779)	Prec@1 25.391 (27.426)	Prec@5 57.422 (55.736)
Epoch: [43][4300/7045]	Time 0.117 (0.241)	Data 0.066 (0.177)	Loss 2.9868 (3.1778)	Prec@1 30.078 (27.422)	Prec@5 57.812 (55.736)
Epoch: [43][4310/7045]	Time 0.316 (0.241)	Data 0.265 (0.177)	Loss 3.0764 (3.1779)	Prec@1 30.078 (27.422)	Prec@5 59.375 (55.733)
Epoch: [43][4320/7045]	Time 0.101 (0.241)	Data 0.045 (0.177)	Loss 3.1508 (3.1779)	Prec@1 25.781 (27.419)	Prec@5 56.250 (55.731)
Epoch: [43][4330/7045]	Time 0.305 (0.241)	Data 0.255 (0.177)	Loss 3.1071 (3.1779)	Prec@1 24.219 (27.418)	Prec@5 59.375 (55.731)
Epoch: [43][4340/7045]	Time 0.102 (0.241)	Data 0.047 (0.177)	Loss 2.9699 (3.1777)	Prec@1 31.250 (27.421)	Prec@5 58.203 (55.736)
Epoch: [43][4350/7045]	Time 0.311 (0.241)	Data 0.259 (0.177)	Loss 3.0162 (3.1778)	Prec@1 27.344 (27.419)	Prec@5 59.375 (55.734)
Epoch: [43][4360/7045]	Time 0.101 (0.241)	Data 0.047 (0.177)	Loss 3.2951 (3.1776)	Prec@1 26.562 (27.423)	Prec@5 52.734 (55.738)
Epoch: [43][4370/7045]	Time 0.323 (0.241)	Data 0.270 (0.177)	Loss 3.1854 (3.1778)	Prec@1 24.219 (27.419)	Prec@5 55.859 (55.734)
Epoch: [43][4380/7045]	Time 0.107 (0.241)	Data 0.056 (0.177)	Loss 3.2698 (3.1777)	Prec@1 26.953 (27.420)	Prec@5 52.734 (55.737)
Epoch: [43][4390/7045]	Time 0.296 (0.241)	Data 0.244 (0.177)	Loss 3.3714 (3.1778)	Prec@1 20.312 (27.417)	Prec@5 51.953 (55.733)
Epoch: [43][4400/7045]	Time 0.102 (0.241)	Data 0.046 (0.177)	Loss 3.1373 (3.1778)	Prec@1 24.219 (27.416)	Prec@5 54.297 (55.731)
Epoch: [43][4410/7045]	Time 0.339 (0.241)	Data 0.287 (0.177)	Loss 3.0466 (3.1778)	Prec@1 26.562 (27.415)	Prec@5 61.719 (55.735)
Epoch: [43][4420/7045]	Time 0.108 (0.241)	Data 0.056 (0.177)	Loss 3.1080 (3.1778)	Prec@1 31.641 (27.414)	Prec@5 57.422 (55.734)
Epoch: [43][4430/7045]	Time 0.386 (0.241)	Data 0.334 (0.177)	Loss 3.0855 (3.1777)	Prec@1 24.609 (27.415)	Prec@5 60.156 (55.734)
Epoch: [43][4440/7045]	Time 0.102 (0.241)	Data 0.006 (0.177)	Loss 3.1677 (3.1777)	Prec@1 27.734 (27.416)	Prec@5 54.688 (55.734)
Epoch: [43][4450/7045]	Time 0.342 (0.241)	Data 0.291 (0.177)	Loss 3.2380 (3.1777)	Prec@1 24.219 (27.416)	Prec@5 55.469 (55.734)
Epoch: [43][4460/7045]	Time 0.102 (0.241)	Data 0.006 (0.177)	Loss 2.9839 (3.1778)	Prec@1 33.984 (27.415)	Prec@5 58.984 (55.730)
Epoch: [43][4470/7045]	Time 0.329 (0.241)	Data 0.278 (0.177)	Loss 3.2575 (3.1779)	Prec@1 25.391 (27.414)	Prec@5 53.125 (55.731)
Epoch: [43][4480/7045]	Time 0.102 (0.241)	Data 0.006 (0.177)	Loss 2.9872 (3.1778)	Prec@1 32.812 (27.416)	Prec@5 57.422 (55.732)
Epoch: [43][4490/7045]	Time 0.281 (0.241)	Data 0.230 (0.177)	Loss 3.1640 (3.1779)	Prec@1 25.781 (27.416)	Prec@5 51.562 (55.729)
Epoch: [43][4500/7045]	Time 0.103 (0.241)	Data 0.008 (0.177)	Loss 3.0446 (3.1779)	Prec@1 30.469 (27.415)	Prec@5 58.203 (55.729)
Epoch: [43][4510/7045]	Time 0.101 (0.241)	Data 0.044 (0.177)	Loss 3.3169 (3.1777)	Prec@1 24.219 (27.417)	Prec@5 52.734 (55.730)
Epoch: [43][4520/7045]	Time 0.101 (0.241)	Data 0.006 (0.177)	Loss 3.0190 (3.1777)	Prec@1 29.688 (27.416)	Prec@5 62.109 (55.729)
Epoch: [43][4530/7045]	Time 0.192 (0.241)	Data 0.142 (0.177)	Loss 3.2158 (3.1777)	Prec@1 26.172 (27.417)	Prec@5 52.734 (55.730)
Epoch: [43][4540/7045]	Time 0.101 (0.241)	Data 0.006 (0.177)	Loss 3.3303 (3.1778)	Prec@1 26.953 (27.415)	Prec@5 54.688 (55.728)
Epoch: [43][4550/7045]	Time 0.317 (0.241)	Data 0.265 (0.177)	Loss 3.1328 (3.1779)	Prec@1 27.344 (27.411)	Prec@5 58.203 (55.727)
Epoch: [43][4560/7045]	Time 0.101 (0.241)	Data 0.008 (0.177)	Loss 3.2128 (3.1779)	Prec@1 27.344 (27.413)	Prec@5 56.641 (55.726)
Epoch: [43][4570/7045]	Time 0.282 (0.241)	Data 0.231 (0.177)	Loss 3.2649 (3.1779)	Prec@1 26.953 (27.412)	Prec@5 50.000 (55.725)
Epoch: [43][4580/7045]	Time 0.103 (0.241)	Data 0.001 (0.177)	Loss 3.0181 (3.1778)	Prec@1 32.812 (27.415)	Prec@5 61.719 (55.728)
Epoch: [43][4590/7045]	Time 0.274 (0.241)	Data 0.222 (0.177)	Loss 3.3645 (3.1778)	Prec@1 21.484 (27.415)	Prec@5 46.094 (55.730)
Epoch: [43][4600/7045]	Time 0.100 (0.241)	Data 0.004 (0.177)	Loss 3.0997 (3.1777)	Prec@1 30.859 (27.416)	Prec@5 57.812 (55.732)
Epoch: [43][4610/7045]	Time 0.267 (0.241)	Data 0.216 (0.177)	Loss 3.1715 (3.1776)	Prec@1 28.125 (27.418)	Prec@5 55.469 (55.734)
Epoch: [43][4620/7045]	Time 0.101 (0.241)	Data 0.008 (0.177)	Loss 3.1262 (3.1776)	Prec@1 29.297 (27.415)	Prec@5 55.078 (55.735)
Epoch: [43][4630/7045]	Time 0.222 (0.241)	Data 0.171 (0.177)	Loss 3.0768 (3.1777)	Prec@1 28.906 (27.416)	Prec@5 55.859 (55.735)
Epoch: [43][4640/7045]	Time 0.102 (0.241)	Data 0.006 (0.177)	Loss 3.2633 (3.1778)	Prec@1 24.609 (27.415)	Prec@5 53.906 (55.735)
Epoch: [43][4650/7045]	Time 0.181 (0.241)	Data 0.129 (0.177)	Loss 3.1420 (3.1778)	Prec@1 25.781 (27.413)	Prec@5 56.641 (55.733)
Epoch: [43][4660/7045]	Time 0.102 (0.241)	Data 0.001 (0.177)	Loss 3.1825 (3.1780)	Prec@1 26.953 (27.410)	Prec@5 53.906 (55.727)
Epoch: [43][4670/7045]	Time 0.212 (0.241)	Data 0.162 (0.177)	Loss 3.1689 (3.1781)	Prec@1 30.859 (27.409)	Prec@5 52.344 (55.725)
Epoch: [43][4680/7045]	Time 0.167 (0.241)	Data 0.116 (0.177)	Loss 3.0572 (3.1780)	Prec@1 31.250 (27.411)	Prec@5 59.375 (55.729)
Epoch: [43][4690/7045]	Time 0.250 (0.241)	Data 0.200 (0.177)	Loss 3.1561 (3.1781)	Prec@1 26.953 (27.409)	Prec@5 57.422 (55.727)
Epoch: [43][4700/7045]	Time 0.173 (0.241)	Data 0.123 (0.177)	Loss 3.1548 (3.1780)	Prec@1 26.172 (27.411)	Prec@5 58.203 (55.728)
Epoch: [43][4710/7045]	Time 0.296 (0.241)	Data 0.245 (0.177)	Loss 3.1934 (3.1781)	Prec@1 24.609 (27.411)	Prec@5 55.469 (55.729)
Epoch: [43][4720/7045]	Time 0.168 (0.241)	Data 0.117 (0.177)	Loss 2.8773 (3.1780)	Prec@1 29.297 (27.411)	Prec@5 58.984 (55.728)
Epoch: [43][4730/7045]	Time 0.297 (0.241)	Data 0.243 (0.177)	Loss 3.0515 (3.1780)	Prec@1 25.391 (27.409)	Prec@5 60.938 (55.729)
Epoch: [43][4740/7045]	Time 0.192 (0.241)	Data 0.141 (0.177)	Loss 3.2556 (3.1782)	Prec@1 24.219 (27.408)	Prec@5 53.906 (55.725)
Epoch: [43][4750/7045]	Time 0.296 (0.241)	Data 0.246 (0.177)	Loss 3.2754 (3.1781)	Prec@1 28.906 (27.410)	Prec@5 54.688 (55.728)
Epoch: [43][4760/7045]	Time 0.122 (0.241)	Data 0.071 (0.177)	Loss 3.3520 (3.1781)	Prec@1 24.609 (27.411)	Prec@5 52.344 (55.727)
Epoch: [43][4770/7045]	Time 0.259 (0.241)	Data 0.207 (0.178)	Loss 3.2731 (3.1780)	Prec@1 25.781 (27.412)	Prec@5 52.344 (55.728)
Epoch: [43][4780/7045]	Time 0.102 (0.241)	Data 0.049 (0.177)	Loss 3.2127 (3.1779)	Prec@1 28.516 (27.413)	Prec@5 56.641 (55.732)
Epoch: [43][4790/7045]	Time 0.243 (0.241)	Data 0.192 (0.178)	Loss 3.0811 (3.1776)	Prec@1 27.734 (27.417)	Prec@5 59.375 (55.735)
Epoch: [43][4800/7045]	Time 0.101 (0.241)	Data 0.008 (0.177)	Loss 3.4348 (3.1776)	Prec@1 27.344 (27.419)	Prec@5 52.344 (55.737)
Epoch: [43][4810/7045]	Time 0.278 (0.241)	Data 0.227 (0.178)	Loss 3.1846 (3.1777)	Prec@1 26.172 (27.416)	Prec@5 55.859 (55.733)
Epoch: [43][4820/7045]	Time 0.102 (0.241)	Data 0.004 (0.177)	Loss 3.2838 (3.1778)	Prec@1 25.781 (27.414)	Prec@5 55.859 (55.731)
Epoch: [43][4830/7045]	Time 0.270 (0.241)	Data 0.220 (0.178)	Loss 3.1820 (3.1777)	Prec@1 30.078 (27.415)	Prec@5 55.469 (55.735)
Epoch: [43][4840/7045]	Time 0.102 (0.241)	Data 0.047 (0.177)	Loss 3.4791 (3.1776)	Prec@1 24.219 (27.416)	Prec@5 50.781 (55.737)
Epoch: [43][4850/7045]	Time 0.289 (0.241)	Data 0.236 (0.178)	Loss 3.0063 (3.1776)	Prec@1 27.734 (27.416)	Prec@5 61.719 (55.737)
Epoch: [43][4860/7045]	Time 0.102 (0.241)	Data 0.008 (0.178)	Loss 3.0950 (3.1775)	Prec@1 30.078 (27.415)	Prec@5 57.031 (55.737)
Epoch: [43][4870/7045]	Time 0.341 (0.241)	Data 0.289 (0.178)	Loss 3.3663 (3.1776)	Prec@1 28.516 (27.414)	Prec@5 54.297 (55.737)
Epoch: [43][4880/7045]	Time 0.102 (0.241)	Data 0.004 (0.178)	Loss 3.1626 (3.1777)	Prec@1 28.125 (27.412)	Prec@5 57.031 (55.736)
Epoch: [43][4890/7045]	Time 0.384 (0.241)	Data 0.332 (0.178)	Loss 3.1022 (3.1777)	Prec@1 30.469 (27.412)	Prec@5 58.984 (55.736)
Epoch: [43][4900/7045]	Time 0.102 (0.241)	Data 0.010 (0.178)	Loss 3.3147 (3.1777)	Prec@1 23.828 (27.410)	Prec@5 51.953 (55.736)
Epoch: [43][4910/7045]	Time 0.410 (0.241)	Data 0.350 (0.178)	Loss 3.4013 (3.1777)	Prec@1 23.047 (27.413)	Prec@5 50.000 (55.735)
Epoch: [43][4920/7045]	Time 0.101 (0.241)	Data 0.004 (0.178)	Loss 3.0221 (3.1776)	Prec@1 28.906 (27.413)	Prec@5 58.984 (55.734)
Epoch: [43][4930/7045]	Time 0.348 (0.241)	Data 0.296 (0.178)	Loss 3.1029 (3.1776)	Prec@1 30.469 (27.416)	Prec@5 51.562 (55.733)
Epoch: [43][4940/7045]	Time 0.102 (0.241)	Data 0.004 (0.178)	Loss 3.1900 (3.1776)	Prec@1 26.953 (27.416)	Prec@5 58.984 (55.736)
Epoch: [43][4950/7045]	Time 0.312 (0.241)	Data 0.260 (0.178)	Loss 3.1552 (3.1775)	Prec@1 30.469 (27.418)	Prec@5 57.422 (55.739)
Epoch: [43][4960/7045]	Time 0.101 (0.241)	Data 0.045 (0.177)	Loss 3.2893 (3.1776)	Prec@1 24.609 (27.415)	Prec@5 53.516 (55.737)
Epoch: [43][4970/7045]	Time 0.312 (0.241)	Data 0.260 (0.178)	Loss 3.2154 (3.1777)	Prec@1 28.516 (27.412)	Prec@5 51.562 (55.737)
Epoch: [43][4980/7045]	Time 0.107 (0.241)	Data 0.055 (0.178)	Loss 3.2000 (3.1777)	Prec@1 25.391 (27.411)	Prec@5 54.688 (55.737)
Epoch: [43][4990/7045]	Time 0.288 (0.241)	Data 0.226 (0.178)	Loss 3.5358 (3.1779)	Prec@1 24.219 (27.411)	Prec@5 49.219 (55.733)
Epoch: [43][5000/7045]	Time 0.159 (0.241)	Data 0.109 (0.178)	Loss 3.0470 (3.1778)	Prec@1 30.078 (27.409)	Prec@5 57.422 (55.733)
Epoch: [43][5010/7045]	Time 0.219 (0.241)	Data 0.162 (0.178)	Loss 3.1599 (3.1780)	Prec@1 28.906 (27.405)	Prec@5 56.250 (55.730)
Epoch: [43][5020/7045]	Time 0.198 (0.241)	Data 0.147 (0.178)	Loss 3.0963 (3.1780)	Prec@1 26.953 (27.408)	Prec@5 60.938 (55.732)
Epoch: [43][5030/7045]	Time 0.196 (0.241)	Data 0.140 (0.178)	Loss 3.3283 (3.1780)	Prec@1 25.781 (27.408)	Prec@5 50.781 (55.730)
Epoch: [43][5040/7045]	Time 0.222 (0.241)	Data 0.170 (0.178)	Loss 3.1536 (3.1780)	Prec@1 26.953 (27.407)	Prec@5 55.078 (55.730)
Epoch: [43][5050/7045]	Time 0.166 (0.241)	Data 0.115 (0.178)	Loss 3.3006 (3.1781)	Prec@1 28.125 (27.403)	Prec@5 51.562 (55.727)
Epoch: [43][5060/7045]	Time 0.231 (0.241)	Data 0.179 (0.178)	Loss 3.2731 (3.1781)	Prec@1 25.781 (27.403)	Prec@5 53.516 (55.728)
Epoch: [43][5070/7045]	Time 0.185 (0.241)	Data 0.128 (0.178)	Loss 3.2841 (3.1782)	Prec@1 22.266 (27.401)	Prec@5 53.516 (55.726)
Epoch: [43][5080/7045]	Time 0.332 (0.241)	Data 0.281 (0.178)	Loss 3.1707 (3.1781)	Prec@1 31.641 (27.401)	Prec@5 59.375 (55.726)
Epoch: [43][5090/7045]	Time 0.103 (0.241)	Data 0.052 (0.178)	Loss 3.0767 (3.1781)	Prec@1 32.812 (27.404)	Prec@5 56.641 (55.727)
Epoch: [43][5100/7045]	Time 0.386 (0.241)	Data 0.334 (0.178)	Loss 2.9153 (3.1780)	Prec@1 29.297 (27.405)	Prec@5 57.031 (55.727)
Epoch: [43][5110/7045]	Time 0.103 (0.241)	Data 0.009 (0.178)	Loss 3.1795 (3.1779)	Prec@1 23.047 (27.407)	Prec@5 57.031 (55.730)
Epoch: [43][5120/7045]	Time 0.324 (0.241)	Data 0.274 (0.178)	Loss 3.1122 (3.1778)	Prec@1 33.203 (27.410)	Prec@5 53.516 (55.730)
Epoch: [43][5130/7045]	Time 0.108 (0.241)	Data 0.006 (0.178)	Loss 3.1587 (3.1777)	Prec@1 25.391 (27.410)	Prec@5 53.906 (55.732)
Epoch: [43][5140/7045]	Time 0.269 (0.241)	Data 0.218 (0.178)	Loss 3.1489 (3.1778)	Prec@1 30.078 (27.410)	Prec@5 54.297 (55.731)
Epoch: [43][5150/7045]	Time 0.114 (0.241)	Data 0.060 (0.178)	Loss 3.2713 (3.1777)	Prec@1 30.859 (27.412)	Prec@5 55.859 (55.735)
Epoch: [43][5160/7045]	Time 0.320 (0.241)	Data 0.269 (0.178)	Loss 3.1545 (3.1776)	Prec@1 30.469 (27.412)	Prec@5 56.641 (55.735)
Epoch: [43][5170/7045]	Time 0.101 (0.241)	Data 0.004 (0.178)	Loss 3.2127 (3.1777)	Prec@1 28.125 (27.411)	Prec@5 54.688 (55.733)
Epoch: [43][5180/7045]	Time 0.384 (0.241)	Data 0.333 (0.178)	Loss 3.3458 (3.1778)	Prec@1 21.484 (27.410)	Prec@5 52.344 (55.731)
Epoch: [43][5190/7045]	Time 0.102 (0.241)	Data 0.005 (0.178)	Loss 3.2402 (3.1779)	Prec@1 26.953 (27.411)	Prec@5 54.297 (55.729)
Epoch: [43][5200/7045]	Time 0.374 (0.241)	Data 0.323 (0.177)	Loss 3.2175 (3.1779)	Prec@1 23.828 (27.409)	Prec@5 54.688 (55.728)
Epoch: [43][5210/7045]	Time 0.108 (0.241)	Data 0.004 (0.177)	Loss 3.1699 (3.1779)	Prec@1 30.859 (27.409)	Prec@5 58.203 (55.729)
Epoch: [43][5220/7045]	Time 0.458 (0.241)	Data 0.406 (0.177)	Loss 3.2005 (3.1779)	Prec@1 26.953 (27.407)	Prec@5 58.984 (55.730)
Epoch: [43][5230/7045]	Time 0.108 (0.241)	Data 0.003 (0.177)	Loss 3.4367 (3.1779)	Prec@1 23.828 (27.407)	Prec@5 52.734 (55.730)
Epoch: [43][5240/7045]	Time 0.449 (0.241)	Data 0.399 (0.177)	Loss 3.3262 (3.1779)	Prec@1 27.344 (27.407)	Prec@5 49.219 (55.729)
Epoch: [43][5250/7045]	Time 0.101 (0.241)	Data 0.001 (0.177)	Loss 3.0109 (3.1779)	Prec@1 26.953 (27.406)	Prec@5 59.375 (55.732)
Epoch: [43][5260/7045]	Time 0.360 (0.241)	Data 0.309 (0.177)	Loss 3.2207 (3.1779)	Prec@1 29.688 (27.407)	Prec@5 54.297 (55.733)
Epoch: [43][5270/7045]	Time 0.101 (0.241)	Data 0.003 (0.177)	Loss 3.0895 (3.1779)	Prec@1 29.688 (27.409)	Prec@5 57.812 (55.734)
Epoch: [43][5280/7045]	Time 0.344 (0.241)	Data 0.293 (0.177)	Loss 3.2405 (3.1778)	Prec@1 28.906 (27.410)	Prec@5 58.984 (55.736)
Epoch: [43][5290/7045]	Time 0.102 (0.241)	Data 0.005 (0.177)	Loss 3.0961 (3.1777)	Prec@1 29.297 (27.411)	Prec@5 60.938 (55.739)
Epoch: [43][5300/7045]	Time 0.266 (0.241)	Data 0.216 (0.177)	Loss 3.3994 (3.1777)	Prec@1 19.922 (27.409)	Prec@5 51.562 (55.741)
Epoch: [43][5310/7045]	Time 0.101 (0.241)	Data 0.046 (0.177)	Loss 3.1913 (3.1778)	Prec@1 30.078 (27.409)	Prec@5 58.984 (55.741)
Epoch: [43][5320/7045]	Time 0.148 (0.241)	Data 0.097 (0.177)	Loss 3.1154 (3.1778)	Prec@1 30.469 (27.412)	Prec@5 53.516 (55.741)
Epoch: [43][5330/7045]	Time 0.111 (0.241)	Data 0.059 (0.177)	Loss 3.1580 (3.1778)	Prec@1 25.781 (27.410)	Prec@5 56.641 (55.741)
Epoch: [43][5340/7045]	Time 0.118 (0.241)	Data 0.060 (0.178)	Loss 3.0467 (3.1777)	Prec@1 28.125 (27.414)	Prec@5 55.469 (55.743)
Epoch: [43][5350/7045]	Time 0.101 (0.241)	Data 0.007 (0.177)	Loss 3.4280 (3.1776)	Prec@1 24.609 (27.415)	Prec@5 53.516 (55.746)
Epoch: [43][5360/7045]	Time 0.115 (0.241)	Data 0.056 (0.178)	Loss 3.4410 (3.1776)	Prec@1 23.438 (27.415)	Prec@5 52.344 (55.746)
Epoch: [43][5370/7045]	Time 0.102 (0.241)	Data 0.001 (0.177)	Loss 3.2037 (3.1775)	Prec@1 26.953 (27.417)	Prec@5 52.734 (55.746)
Epoch: [43][5380/7045]	Time 0.107 (0.241)	Data 0.007 (0.177)	Loss 3.0915 (3.1775)	Prec@1 27.344 (27.417)	Prec@5 56.250 (55.745)
Epoch: [43][5390/7045]	Time 0.101 (0.241)	Data 0.001 (0.177)	Loss 3.4829 (3.1774)	Prec@1 22.266 (27.414)	Prec@5 51.562 (55.747)
Epoch: [43][5400/7045]	Time 0.107 (0.241)	Data 0.002 (0.177)	Loss 3.1102 (3.1774)	Prec@1 25.781 (27.415)	Prec@5 59.375 (55.749)
Epoch: [43][5410/7045]	Time 0.101 (0.241)	Data 0.001 (0.177)	Loss 3.1250 (3.1773)	Prec@1 25.781 (27.416)	Prec@5 56.641 (55.749)
Epoch: [43][5420/7045]	Time 0.096 (0.241)	Data 0.001 (0.177)	Loss 3.2971 (3.1774)	Prec@1 29.688 (27.415)	Prec@5 53.906 (55.749)
Epoch: [43][5430/7045]	Time 0.102 (0.241)	Data 0.001 (0.177)	Loss 3.2804 (3.1774)	Prec@1 25.391 (27.414)	Prec@5 51.562 (55.750)
Epoch: [43][5440/7045]	Time 0.112 (0.241)	Data 0.009 (0.177)	Loss 3.1818 (3.1774)	Prec@1 26.562 (27.416)	Prec@5 52.734 (55.749)
Epoch: [43][5450/7045]	Time 0.102 (0.241)	Data 0.006 (0.177)	Loss 3.3901 (3.1774)	Prec@1 21.094 (27.414)	Prec@5 53.516 (55.748)
Epoch: [43][5460/7045]	Time 0.107 (0.241)	Data 0.003 (0.177)	Loss 3.0495 (3.1774)	Prec@1 26.172 (27.415)	Prec@5 59.375 (55.748)
Epoch: [43][5470/7045]	Time 0.111 (0.240)	Data 0.060 (0.177)	Loss 3.3086 (3.1774)	Prec@1 25.781 (27.417)	Prec@5 50.391 (55.748)
Epoch: [43][5480/7045]	Time 0.112 (0.241)	Data 0.059 (0.177)	Loss 2.9925 (3.1774)	Prec@1 29.688 (27.415)	Prec@5 57.031 (55.749)
Epoch: [43][5490/7045]	Time 0.130 (0.240)	Data 0.078 (0.177)	Loss 3.2013 (3.1774)	Prec@1 27.344 (27.415)	Prec@5 54.297 (55.749)
Epoch: [43][5500/7045]	Time 0.110 (0.241)	Data 0.059 (0.177)	Loss 3.0771 (3.1774)	Prec@1 32.031 (27.415)	Prec@5 57.031 (55.750)
Epoch: [43][5510/7045]	Time 0.143 (0.240)	Data 0.092 (0.177)	Loss 3.0780 (3.1773)	Prec@1 27.734 (27.413)	Prec@5 57.031 (55.749)
Epoch: [43][5520/7045]	Time 0.160 (0.241)	Data 0.102 (0.177)	Loss 3.1549 (3.1774)	Prec@1 25.000 (27.411)	Prec@5 56.250 (55.747)
Epoch: [43][5530/7045]	Time 0.250 (0.240)	Data 0.197 (0.177)	Loss 3.1016 (3.1773)	Prec@1 28.125 (27.411)	Prec@5 58.984 (55.748)
Epoch: [43][5540/7045]	Time 0.140 (0.241)	Data 0.089 (0.177)	Loss 2.9819 (3.1774)	Prec@1 36.328 (27.411)	Prec@5 61.719 (55.747)
Epoch: [43][5550/7045]	Time 0.178 (0.240)	Data 0.127 (0.177)	Loss 3.1133 (3.1774)	Prec@1 25.000 (27.410)	Prec@5 54.297 (55.747)
Epoch: [43][5560/7045]	Time 0.216 (0.241)	Data 0.160 (0.177)	Loss 3.0722 (3.1773)	Prec@1 29.688 (27.410)	Prec@5 55.859 (55.748)
Epoch: [43][5570/7045]	Time 0.122 (0.240)	Data 0.071 (0.177)	Loss 3.1868 (3.1773)	Prec@1 27.734 (27.411)	Prec@5 54.297 (55.750)
Epoch: [43][5580/7045]	Time 0.280 (0.241)	Data 0.229 (0.177)	Loss 2.8728 (3.1773)	Prec@1 32.422 (27.412)	Prec@5 57.812 (55.750)
Epoch: [43][5590/7045]	Time 0.108 (0.240)	Data 0.057 (0.177)	Loss 3.2085 (3.1772)	Prec@1 26.172 (27.411)	Prec@5 53.125 (55.750)
Epoch: [43][5600/7045]	Time 0.312 (0.241)	Data 0.259 (0.177)	Loss 3.2793 (3.1772)	Prec@1 23.438 (27.410)	Prec@5 55.469 (55.750)
Epoch: [43][5610/7045]	Time 0.101 (0.240)	Data 0.001 (0.177)	Loss 3.1607 (3.1772)	Prec@1 29.297 (27.414)	Prec@5 55.859 (55.751)
Epoch: [43][5620/7045]	Time 0.284 (0.240)	Data 0.233 (0.177)	Loss 3.3465 (3.1772)	Prec@1 26.953 (27.415)	Prec@5 52.734 (55.752)
Epoch: [43][5630/7045]	Time 0.102 (0.240)	Data 0.005 (0.177)	Loss 3.0482 (3.1772)	Prec@1 29.688 (27.415)	Prec@5 56.641 (55.750)
Epoch: [43][5640/7045]	Time 0.303 (0.240)	Data 0.251 (0.177)	Loss 3.2156 (3.1772)	Prec@1 23.828 (27.416)	Prec@5 56.250 (55.750)
Epoch: [43][5650/7045]	Time 0.103 (0.240)	Data 0.001 (0.177)	Loss 3.2825 (3.1773)	Prec@1 23.828 (27.414)	Prec@5 52.734 (55.748)
Epoch: [43][5660/7045]	Time 0.309 (0.240)	Data 0.258 (0.177)	Loss 2.9617 (3.1773)	Prec@1 28.125 (27.414)	Prec@5 56.641 (55.748)
Epoch: [43][5670/7045]	Time 0.101 (0.240)	Data 0.008 (0.177)	Loss 3.4254 (3.1772)	Prec@1 25.391 (27.414)	Prec@5 50.000 (55.750)
Epoch: [43][5680/7045]	Time 0.317 (0.240)	Data 0.264 (0.177)	Loss 3.0953 (3.1772)	Prec@1 26.562 (27.415)	Prec@5 55.078 (55.752)
Epoch: [43][5690/7045]	Time 0.102 (0.240)	Data 0.045 (0.177)	Loss 2.9861 (3.1772)	Prec@1 30.469 (27.415)	Prec@5 58.594 (55.753)
Epoch: [43][5700/7045]	Time 0.355 (0.240)	Data 0.304 (0.177)	Loss 2.8983 (3.1772)	Prec@1 32.422 (27.413)	Prec@5 60.938 (55.751)
Epoch: [43][5710/7045]	Time 0.099 (0.240)	Data 0.044 (0.177)	Loss 3.0846 (3.1772)	Prec@1 28.516 (27.415)	Prec@5 59.766 (55.752)
Epoch: [43][5720/7045]	Time 0.384 (0.240)	Data 0.334 (0.177)	Loss 3.3110 (3.1772)	Prec@1 26.562 (27.418)	Prec@5 53.906 (55.752)
Epoch: [43][5730/7045]	Time 0.101 (0.240)	Data 0.046 (0.177)	Loss 3.0641 (3.1771)	Prec@1 28.906 (27.418)	Prec@5 55.469 (55.753)
Epoch: [43][5740/7045]	Time 0.418 (0.240)	Data 0.368 (0.177)	Loss 3.0798 (3.1771)	Prec@1 26.953 (27.419)	Prec@5 57.422 (55.752)
Epoch: [43][5750/7045]	Time 0.101 (0.240)	Data 0.045 (0.177)	Loss 3.0305 (3.1771)	Prec@1 30.078 (27.420)	Prec@5 61.719 (55.753)
Epoch: [43][5760/7045]	Time 0.384 (0.240)	Data 0.332 (0.177)	Loss 3.2331 (3.1771)	Prec@1 24.219 (27.419)	Prec@5 52.734 (55.752)
Epoch: [43][5770/7045]	Time 0.238 (0.240)	Data 0.188 (0.177)	Loss 3.2577 (3.1771)	Prec@1 25.391 (27.419)	Prec@5 57.422 (55.752)
Epoch: [43][5780/7045]	Time 0.438 (0.240)	Data 0.387 (0.177)	Loss 3.0652 (3.1770)	Prec@1 30.859 (27.421)	Prec@5 58.203 (55.754)
Epoch: [43][5790/7045]	Time 0.199 (0.240)	Data 0.148 (0.177)	Loss 3.0667 (3.1770)	Prec@1 29.297 (27.422)	Prec@5 57.812 (55.755)
Epoch: [43][5800/7045]	Time 0.329 (0.240)	Data 0.278 (0.177)	Loss 3.0379 (3.1770)	Prec@1 29.688 (27.423)	Prec@5 56.641 (55.756)
Epoch: [43][5810/7045]	Time 0.191 (0.240)	Data 0.140 (0.177)	Loss 3.3269 (3.1771)	Prec@1 27.734 (27.423)	Prec@5 50.391 (55.751)
Epoch: [43][5820/7045]	Time 0.355 (0.240)	Data 0.305 (0.177)	Loss 3.1719 (3.1772)	Prec@1 26.953 (27.422)	Prec@5 57.031 (55.748)
Epoch: [43][5830/7045]	Time 0.132 (0.240)	Data 0.081 (0.177)	Loss 3.0564 (3.1771)	Prec@1 30.859 (27.424)	Prec@5 58.203 (55.751)
Epoch: [43][5840/7045]	Time 0.372 (0.240)	Data 0.320 (0.177)	Loss 3.3423 (3.1770)	Prec@1 26.172 (27.426)	Prec@5 50.000 (55.751)
Epoch: [43][5850/7045]	Time 0.177 (0.240)	Data 0.125 (0.177)	Loss 3.1634 (3.1770)	Prec@1 26.953 (27.426)	Prec@5 55.078 (55.750)
Epoch: [43][5860/7045]	Time 0.201 (0.240)	Data 0.151 (0.177)	Loss 3.1220 (3.1769)	Prec@1 28.906 (27.428)	Prec@5 58.594 (55.753)
Epoch: [43][5870/7045]	Time 0.123 (0.240)	Data 0.072 (0.177)	Loss 3.2762 (3.1769)	Prec@1 23.047 (27.430)	Prec@5 53.906 (55.754)
Epoch: [43][5880/7045]	Time 0.101 (0.240)	Data 0.001 (0.177)	Loss 3.3188 (3.1769)	Prec@1 24.609 (27.430)	Prec@5 56.641 (55.756)
Epoch: [43][5890/7045]	Time 0.105 (0.240)	Data 0.053 (0.177)	Loss 3.0889 (3.1769)	Prec@1 31.641 (27.430)	Prec@5 58.594 (55.756)
Epoch: [43][5900/7045]	Time 0.275 (0.240)	Data 0.216 (0.177)	Loss 3.2791 (3.1769)	Prec@1 25.000 (27.429)	Prec@5 54.688 (55.756)
Epoch: [43][5910/7045]	Time 0.102 (0.240)	Data 0.001 (0.177)	Loss 3.2684 (3.1770)	Prec@1 21.094 (27.428)	Prec@5 54.297 (55.754)
Epoch: [43][5920/7045]	Time 0.303 (0.240)	Data 0.252 (0.177)	Loss 3.0160 (3.1769)	Prec@1 29.297 (27.428)	Prec@5 58.203 (55.753)
Epoch: [43][5930/7045]	Time 0.106 (0.240)	Data 0.053 (0.177)	Loss 3.0650 (3.1769)	Prec@1 29.688 (27.429)	Prec@5 56.250 (55.755)
Epoch: [43][5940/7045]	Time 0.343 (0.240)	Data 0.291 (0.177)	Loss 3.1190 (3.1768)	Prec@1 31.641 (27.433)	Prec@5 57.422 (55.755)
Epoch: [43][5950/7045]	Time 0.429 (0.240)	Data 0.377 (0.177)	Loss 3.3204 (3.1768)	Prec@1 22.266 (27.434)	Prec@5 51.953 (55.754)
Epoch: [43][5960/7045]	Time 0.227 (0.240)	Data 0.169 (0.177)	Loss 3.3857 (3.1768)	Prec@1 24.219 (27.433)	Prec@5 51.562 (55.753)
Epoch: [43][5970/7045]	Time 0.619 (0.240)	Data 0.569 (0.177)	Loss 3.0332 (3.1767)	Prec@1 28.906 (27.435)	Prec@5 59.375 (55.757)
Epoch: [43][5980/7045]	Time 0.102 (0.240)	Data 0.049 (0.177)	Loss 3.2363 (3.1767)	Prec@1 26.172 (27.436)	Prec@5 54.297 (55.755)
Epoch: [43][5990/7045]	Time 0.392 (0.240)	Data 0.341 (0.177)	Loss 3.3134 (3.1767)	Prec@1 25.781 (27.436)	Prec@5 49.609 (55.753)
Epoch: [43][6000/7045]	Time 0.103 (0.240)	Data 0.052 (0.177)	Loss 3.3085 (3.1767)	Prec@1 24.609 (27.438)	Prec@5 52.344 (55.752)
Epoch: [43][6010/7045]	Time 0.475 (0.240)	Data 0.424 (0.177)	Loss 3.3369 (3.1767)	Prec@1 24.219 (27.436)	Prec@5 52.344 (55.751)
Epoch: [43][6020/7045]	Time 0.101 (0.240)	Data 0.046 (0.177)	Loss 3.2032 (3.1767)	Prec@1 26.953 (27.434)	Prec@5 53.906 (55.751)
Epoch: [43][6030/7045]	Time 0.236 (0.240)	Data 0.184 (0.177)	Loss 3.3612 (3.1767)	Prec@1 24.609 (27.435)	Prec@5 54.297 (55.752)
Epoch: [43][6040/7045]	Time 0.101 (0.240)	Data 0.047 (0.177)	Loss 3.1002 (3.1767)	Prec@1 28.125 (27.435)	Prec@5 57.812 (55.752)
Epoch: [43][6050/7045]	Time 0.100 (0.240)	Data 0.046 (0.177)	Loss 3.2878 (3.1767)	Prec@1 27.344 (27.434)	Prec@5 53.516 (55.754)
Epoch: [43][6060/7045]	Time 0.102 (0.240)	Data 0.050 (0.177)	Loss 3.3010 (3.1767)	Prec@1 24.219 (27.433)	Prec@5 52.734 (55.753)
Epoch: [43][6070/7045]	Time 0.101 (0.240)	Data 0.048 (0.177)	Loss 3.1961 (3.1768)	Prec@1 24.219 (27.430)	Prec@5 57.031 (55.751)
Epoch: [43][6080/7045]	Time 0.104 (0.240)	Data 0.001 (0.177)	Loss 3.2802 (3.1768)	Prec@1 26.953 (27.430)	Prec@5 53.516 (55.751)
Epoch: [43][6090/7045]	Time 0.108 (0.240)	Data 0.055 (0.177)	Loss 3.0514 (3.1769)	Prec@1 32.031 (27.432)	Prec@5 59.766 (55.750)
Epoch: [43][6100/7045]	Time 0.118 (0.240)	Data 0.065 (0.177)	Loss 2.9893 (3.1767)	Prec@1 31.250 (27.435)	Prec@5 57.422 (55.754)
Epoch: [43][6110/7045]	Time 0.102 (0.240)	Data 0.001 (0.177)	Loss 3.2329 (3.1768)	Prec@1 25.781 (27.432)	Prec@5 54.688 (55.752)
Epoch: [43][6120/7045]	Time 0.101 (0.240)	Data 0.006 (0.177)	Loss 3.0019 (3.1768)	Prec@1 32.812 (27.434)	Prec@5 58.594 (55.754)
Epoch: [43][6130/7045]	Time 0.108 (0.240)	Data 0.001 (0.177)	Loss 3.2308 (3.1767)	Prec@1 26.562 (27.435)	Prec@5 55.078 (55.756)
Epoch: [43][6140/7045]	Time 0.101 (0.240)	Data 0.004 (0.177)	Loss 3.1247 (3.1766)	Prec@1 30.078 (27.437)	Prec@5 53.516 (55.756)
Epoch: [43][6150/7045]	Time 0.101 (0.240)	Data 0.003 (0.177)	Loss 3.2502 (3.1766)	Prec@1 25.781 (27.437)	Prec@5 52.734 (55.756)
Epoch: [43][6160/7045]	Time 0.102 (0.240)	Data 0.006 (0.177)	Loss 3.4593 (3.1767)	Prec@1 23.047 (27.435)	Prec@5 50.391 (55.756)
Epoch: [43][6170/7045]	Time 0.102 (0.240)	Data 0.001 (0.177)	Loss 3.1859 (3.1768)	Prec@1 25.391 (27.434)	Prec@5 57.031 (55.754)
Epoch: [43][6180/7045]	Time 0.101 (0.240)	Data 0.047 (0.177)	Loss 3.0583 (3.1767)	Prec@1 32.812 (27.435)	Prec@5 61.719 (55.755)
Epoch: [43][6190/7045]	Time 0.101 (0.240)	Data 0.003 (0.177)	Loss 3.1631 (3.1767)	Prec@1 26.953 (27.436)	Prec@5 55.078 (55.756)
Epoch: [43][6200/7045]	Time 0.102 (0.240)	Data 0.047 (0.177)	Loss 3.3394 (3.1768)	Prec@1 25.391 (27.436)	Prec@5 52.344 (55.754)
Epoch: [43][6210/7045]	Time 0.105 (0.240)	Data 0.005 (0.177)	Loss 3.1888 (3.1768)	Prec@1 28.125 (27.434)	Prec@5 48.828 (55.752)
Epoch: [43][6220/7045]	Time 0.108 (0.240)	Data 0.055 (0.177)	Loss 3.1730 (3.1767)	Prec@1 27.734 (27.434)	Prec@5 54.297 (55.754)
Epoch: [43][6230/7045]	Time 0.105 (0.240)	Data 0.003 (0.177)	Loss 3.2579 (3.1768)	Prec@1 24.609 (27.432)	Prec@5 52.344 (55.752)
Epoch: [43][6240/7045]	Time 0.101 (0.240)	Data 0.047 (0.177)	Loss 3.0992 (3.1768)	Prec@1 31.641 (27.433)	Prec@5 59.766 (55.753)
Epoch: [43][6250/7045]	Time 0.102 (0.240)	Data 0.004 (0.177)	Loss 3.3056 (3.1768)	Prec@1 26.562 (27.432)	Prec@5 51.953 (55.752)
Epoch: [43][6260/7045]	Time 0.122 (0.240)	Data 0.071 (0.177)	Loss 3.0964 (3.1767)	Prec@1 27.344 (27.434)	Prec@5 55.859 (55.753)
Epoch: [43][6270/7045]	Time 0.101 (0.240)	Data 0.003 (0.177)	Loss 3.4760 (3.1768)	Prec@1 23.438 (27.433)	Prec@5 50.781 (55.751)
Epoch: [43][6280/7045]	Time 0.213 (0.240)	Data 0.162 (0.177)	Loss 3.3346 (3.1769)	Prec@1 26.953 (27.433)	Prec@5 51.172 (55.749)
Epoch: [43][6290/7045]	Time 0.101 (0.240)	Data 0.005 (0.177)	Loss 3.1249 (3.1768)	Prec@1 25.000 (27.431)	Prec@5 55.859 (55.748)
Epoch: [43][6300/7045]	Time 0.187 (0.240)	Data 0.136 (0.177)	Loss 2.9218 (3.1767)	Prec@1 35.938 (27.435)	Prec@5 60.547 (55.752)
Epoch: [43][6310/7045]	Time 0.101 (0.240)	Data 0.046 (0.177)	Loss 3.1196 (3.1766)	Prec@1 28.906 (27.437)	Prec@5 59.766 (55.753)
Epoch: [43][6320/7045]	Time 0.225 (0.240)	Data 0.174 (0.177)	Loss 3.1108 (3.1767)	Prec@1 25.781 (27.436)	Prec@5 57.812 (55.754)
Epoch: [43][6330/7045]	Time 0.173 (0.240)	Data 0.117 (0.177)	Loss 3.1880 (3.1766)	Prec@1 25.391 (27.438)	Prec@5 56.641 (55.754)
Epoch: [43][6340/7045]	Time 0.180 (0.240)	Data 0.129 (0.177)	Loss 3.4859 (3.1766)	Prec@1 25.000 (27.438)	Prec@5 49.219 (55.754)
Epoch: [43][6350/7045]	Time 0.357 (0.240)	Data 0.306 (0.177)	Loss 3.1684 (3.1766)	Prec@1 28.125 (27.438)	Prec@5 59.766 (55.755)
Epoch: [43][6360/7045]	Time 0.102 (0.240)	Data 0.004 (0.177)	Loss 3.4209 (3.1767)	Prec@1 25.000 (27.436)	Prec@5 49.219 (55.753)
Epoch: [43][6370/7045]	Time 0.115 (0.240)	Data 0.057 (0.177)	Loss 3.0849 (3.1767)	Prec@1 28.125 (27.435)	Prec@5 58.594 (55.753)
Epoch: [43][6380/7045]	Time 0.102 (0.240)	Data 0.001 (0.177)	Loss 2.9886 (3.1767)	Prec@1 29.688 (27.436)	Prec@5 59.766 (55.754)
Epoch: [43][6390/7045]	Time 0.144 (0.240)	Data 0.092 (0.177)	Loss 3.0385 (3.1766)	Prec@1 28.516 (27.436)	Prec@5 57.812 (55.753)
Epoch: [43][6400/7045]	Time 0.102 (0.240)	Data 0.050 (0.177)	Loss 3.0883 (3.1767)	Prec@1 27.344 (27.434)	Prec@5 57.031 (55.753)
Epoch: [43][6410/7045]	Time 0.155 (0.240)	Data 0.103 (0.177)	Loss 3.2696 (3.1767)	Prec@1 28.906 (27.436)	Prec@5 57.031 (55.755)
Epoch: [43][6420/7045]	Time 0.177 (0.240)	Data 0.125 (0.177)	Loss 3.3267 (3.1767)	Prec@1 28.516 (27.436)	Prec@5 54.688 (55.756)
Epoch: [43][6430/7045]	Time 0.102 (0.240)	Data 0.005 (0.177)	Loss 3.0687 (3.1766)	Prec@1 31.250 (27.437)	Prec@5 59.375 (55.758)
Epoch: [43][6440/7045]	Time 0.115 (0.240)	Data 0.058 (0.177)	Loss 3.2605 (3.1767)	Prec@1 26.172 (27.435)	Prec@5 56.641 (55.757)
Epoch: [43][6450/7045]	Time 0.101 (0.240)	Data 0.001 (0.177)	Loss 3.3211 (3.1767)	Prec@1 26.562 (27.436)	Prec@5 53.125 (55.756)
Epoch: [43][6460/7045]	Time 0.244 (0.240)	Data 0.192 (0.177)	Loss 2.9935 (3.1767)	Prec@1 31.250 (27.435)	Prec@5 58.203 (55.756)
Epoch: [43][6470/7045]	Time 0.102 (0.240)	Data 0.007 (0.177)	Loss 3.1606 (3.1767)	Prec@1 26.953 (27.434)	Prec@5 53.906 (55.757)
Epoch: [43][6480/7045]	Time 0.263 (0.240)	Data 0.212 (0.177)	Loss 3.0958 (3.1767)	Prec@1 29.297 (27.435)	Prec@5 58.984 (55.755)
Epoch: [43][6490/7045]	Time 0.197 (0.240)	Data 0.146 (0.177)	Loss 3.2075 (3.1766)	Prec@1 26.953 (27.435)	Prec@5 56.250 (55.757)
Epoch: [43][6500/7045]	Time 0.312 (0.240)	Data 0.260 (0.177)	Loss 3.3631 (3.1766)	Prec@1 23.828 (27.435)	Prec@5 52.734 (55.757)
Epoch: [43][6510/7045]	Time 0.454 (0.240)	Data 0.403 (0.177)	Loss 3.2049 (3.1765)	Prec@1 23.828 (27.435)	Prec@5 55.078 (55.758)
Epoch: [43][6520/7045]	Time 0.241 (0.240)	Data 0.190 (0.177)	Loss 2.9319 (3.1765)	Prec@1 32.031 (27.437)	Prec@5 63.281 (55.759)
Epoch: [43][6530/7045]	Time 0.335 (0.240)	Data 0.285 (0.177)	Loss 3.1159 (3.1764)	Prec@1 26.172 (27.438)	Prec@5 55.859 (55.761)
Epoch: [43][6540/7045]	Time 0.103 (0.240)	Data 0.051 (0.177)	Loss 3.3539 (3.1764)	Prec@1 26.953 (27.437)	Prec@5 49.219 (55.761)
Epoch: [43][6550/7045]	Time 0.262 (0.240)	Data 0.211 (0.177)	Loss 3.2334 (3.1765)	Prec@1 27.734 (27.437)	Prec@5 53.125 (55.759)
Epoch: [43][6560/7045]	Time 0.150 (0.240)	Data 0.098 (0.177)	Loss 3.2562 (3.1765)	Prec@1 25.781 (27.436)	Prec@5 56.250 (55.760)
Epoch: [43][6570/7045]	Time 0.221 (0.240)	Data 0.170 (0.177)	Loss 3.1009 (3.1764)	Prec@1 26.953 (27.437)	Prec@5 56.250 (55.761)
Epoch: [43][6580/7045]	Time 0.326 (0.241)	Data 0.275 (0.177)	Loss 2.9509 (3.1765)	Prec@1 31.250 (27.435)	Prec@5 58.203 (55.758)
Epoch: [43][6590/7045]	Time 0.103 (0.240)	Data 0.052 (0.177)	Loss 3.2648 (3.1765)	Prec@1 25.391 (27.435)	Prec@5 52.734 (55.758)
Epoch: [43][6600/7045]	Time 0.320 (0.241)	Data 0.269 (0.177)	Loss 2.9099 (3.1764)	Prec@1 27.344 (27.435)	Prec@5 58.984 (55.758)
Epoch: [43][6610/7045]	Time 0.103 (0.240)	Data 0.045 (0.177)	Loss 3.2554 (3.1765)	Prec@1 29.297 (27.436)	Prec@5 54.297 (55.759)
Epoch: [43][6620/7045]	Time 0.287 (0.240)	Data 0.236 (0.177)	Loss 3.2639 (3.1766)	Prec@1 28.125 (27.435)	Prec@5 55.078 (55.759)
Epoch: [43][6630/7045]	Time 0.363 (0.241)	Data 0.304 (0.178)	Loss 2.9840 (3.1765)	Prec@1 31.641 (27.435)	Prec@5 60.156 (55.759)
Epoch: [43][6640/7045]	Time 0.173 (0.240)	Data 0.122 (0.177)	Loss 2.9997 (3.1765)	Prec@1 26.953 (27.435)	Prec@5 57.812 (55.759)
Epoch: [43][6650/7045]	Time 0.302 (0.241)	Data 0.245 (0.178)	Loss 3.1445 (3.1764)	Prec@1 29.297 (27.438)	Prec@5 51.562 (55.759)
Epoch: [43][6660/7045]	Time 0.101 (0.240)	Data 0.001 (0.177)	Loss 3.2720 (3.1765)	Prec@1 26.562 (27.438)	Prec@5 53.906 (55.758)
Epoch: [43][6670/7045]	Time 0.302 (0.241)	Data 0.252 (0.178)	Loss 3.3411 (3.1765)	Prec@1 23.828 (27.437)	Prec@5 55.078 (55.758)
Epoch: [43][6680/7045]	Time 0.197 (0.241)	Data 0.146 (0.178)	Loss 3.2412 (3.1766)	Prec@1 27.344 (27.435)	Prec@5 55.859 (55.759)
Epoch: [43][6690/7045]	Time 0.350 (0.241)	Data 0.291 (0.178)	Loss 3.0394 (3.1766)	Prec@1 30.078 (27.435)	Prec@5 56.641 (55.759)
Epoch: [43][6700/7045]	Time 0.408 (0.241)	Data 0.351 (0.178)	Loss 3.1550 (3.1766)	Prec@1 25.781 (27.436)	Prec@5 57.422 (55.760)
Epoch: [43][6710/7045]	Time 0.266 (0.241)	Data 0.215 (0.178)	Loss 2.8727 (3.1766)	Prec@1 32.422 (27.437)	Prec@5 59.375 (55.760)
Epoch: [43][6720/7045]	Time 0.510 (0.241)	Data 0.459 (0.178)	Loss 3.1548 (3.1766)	Prec@1 26.953 (27.437)	Prec@5 55.078 (55.758)
Epoch: [43][6730/7045]	Time 0.102 (0.241)	Data 0.047 (0.178)	Loss 3.2333 (3.1766)	Prec@1 26.953 (27.438)	Prec@5 55.078 (55.759)
Epoch: [43][6740/7045]	Time 0.664 (0.241)	Data 0.612 (0.178)	Loss 3.2036 (3.1766)	Prec@1 26.562 (27.438)	Prec@5 54.688 (55.760)
Epoch: [43][6750/7045]	Time 0.103 (0.241)	Data 0.001 (0.178)	Loss 3.3258 (3.1766)	Prec@1 26.953 (27.436)	Prec@5 52.344 (55.760)
Epoch: [43][6760/7045]	Time 0.624 (0.241)	Data 0.573 (0.178)	Loss 3.3067 (3.1766)	Prec@1 25.781 (27.437)	Prec@5 53.516 (55.760)
Epoch: [43][6770/7045]	Time 0.234 (0.241)	Data 0.183 (0.178)	Loss 3.3110 (3.1766)	Prec@1 23.047 (27.435)	Prec@5 54.297 (55.759)
Epoch: [43][6780/7045]	Time 0.444 (0.241)	Data 0.393 (0.178)	Loss 3.2322 (3.1766)	Prec@1 28.125 (27.436)	Prec@5 52.734 (55.760)
Epoch: [43][6790/7045]	Time 0.422 (0.241)	Data 0.372 (0.178)	Loss 3.2290 (3.1766)	Prec@1 29.688 (27.436)	Prec@5 56.250 (55.760)
Epoch: [43][6800/7045]	Time 0.283 (0.241)	Data 0.232 (0.177)	Loss 3.1501 (3.1767)	Prec@1 26.172 (27.433)	Prec@5 56.641 (55.762)
Epoch: [43][6810/7045]	Time 0.606 (0.241)	Data 0.550 (0.177)	Loss 3.0196 (3.1766)	Prec@1 28.125 (27.434)	Prec@5 55.859 (55.762)
Epoch: [43][6820/7045]	Time 0.102 (0.241)	Data 0.008 (0.177)	Loss 3.0120 (3.1765)	Prec@1 28.516 (27.435)	Prec@5 57.422 (55.765)
Epoch: [43][6830/7045]	Time 0.486 (0.241)	Data 0.436 (0.177)	Loss 3.0579 (3.1764)	Prec@1 30.469 (27.435)	Prec@5 58.594 (55.767)
Epoch: [43][6840/7045]	Time 0.107 (0.241)	Data 0.005 (0.177)	Loss 3.1108 (3.1764)	Prec@1 29.688 (27.437)	Prec@5 55.859 (55.767)
Epoch: [43][6850/7045]	Time 0.380 (0.241)	Data 0.330 (0.177)	Loss 3.1581 (3.1765)	Prec@1 26.953 (27.436)	Prec@5 54.688 (55.765)
Epoch: [43][6860/7045]	Time 0.102 (0.241)	Data 0.001 (0.177)	Loss 3.2891 (3.1765)	Prec@1 29.688 (27.437)	Prec@5 55.859 (55.765)
Epoch: [43][6870/7045]	Time 0.101 (0.241)	Data 0.048 (0.177)	Loss 3.1831 (3.1766)	Prec@1 27.734 (27.436)	Prec@5 58.203 (55.763)
Epoch: [43][6880/7045]	Time 0.103 (0.241)	Data 0.004 (0.177)	Loss 3.1847 (3.1766)	Prec@1 22.656 (27.433)	Prec@5 54.688 (55.762)
Epoch: [43][6890/7045]	Time 0.185 (0.241)	Data 0.133 (0.177)	Loss 3.3137 (3.1766)	Prec@1 25.781 (27.432)	Prec@5 52.344 (55.761)
Epoch: [43][6900/7045]	Time 0.102 (0.241)	Data 0.005 (0.177)	Loss 3.2926 (3.1766)	Prec@1 27.344 (27.432)	Prec@5 55.859 (55.762)
Epoch: [43][6910/7045]	Time 0.419 (0.241)	Data 0.367 (0.177)	Loss 3.0343 (3.1766)	Prec@1 29.688 (27.432)	Prec@5 60.938 (55.763)
Epoch: [43][6920/7045]	Time 0.101 (0.241)	Data 0.001 (0.177)	Loss 3.1070 (3.1766)	Prec@1 30.078 (27.432)	Prec@5 54.297 (55.764)
Epoch: [43][6930/7045]	Time 0.347 (0.241)	Data 0.296 (0.177)	Loss 3.1508 (3.1767)	Prec@1 29.297 (27.433)	Prec@5 56.641 (55.762)
Epoch: [43][6940/7045]	Time 0.350 (0.241)	Data 0.298 (0.177)	Loss 3.2860 (3.1767)	Prec@1 28.906 (27.433)	Prec@5 52.734 (55.763)
Epoch: [43][6950/7045]	Time 0.308 (0.241)	Data 0.257 (0.177)	Loss 2.9016 (3.1767)	Prec@1 30.078 (27.432)	Prec@5 61.719 (55.764)
Epoch: [43][6960/7045]	Time 0.431 (0.241)	Data 0.381 (0.177)	Loss 3.0166 (3.1767)	Prec@1 27.344 (27.432)	Prec@5 58.984 (55.764)
Epoch: [43][6970/7045]	Time 0.286 (0.241)	Data 0.230 (0.177)	Loss 3.0683 (3.1767)	Prec@1 31.641 (27.430)	Prec@5 58.203 (55.765)
Epoch: [43][6980/7045]	Time 0.411 (0.241)	Data 0.360 (0.177)	Loss 3.3090 (3.1767)	Prec@1 24.609 (27.429)	Prec@5 54.297 (55.764)
Epoch: [43][6990/7045]	Time 0.291 (0.241)	Data 0.240 (0.177)	Loss 2.9784 (3.1767)	Prec@1 30.859 (27.428)	Prec@5 63.281 (55.764)
Epoch: [43][7000/7045]	Time 0.387 (0.241)	Data 0.336 (0.177)	Loss 2.9461 (3.1766)	Prec@1 34.375 (27.429)	Prec@5 60.547 (55.765)
Epoch: [43][7010/7045]	Time 0.302 (0.241)	Data 0.243 (0.177)	Loss 3.0533 (3.1766)	Prec@1 35.156 (27.430)	Prec@5 59.375 (55.767)
Epoch: [43][7020/7045]	Time 0.276 (0.241)	Data 0.225 (0.177)	Loss 2.9555 (3.1765)	Prec@1 31.250 (27.432)	Prec@5 63.281 (55.768)
Epoch: [43][7030/7045]	Time 0.317 (0.241)	Data 0.266 (0.177)	Loss 3.1484 (3.1766)	Prec@1 29.688 (27.433)	Prec@5 54.297 (55.767)
Epoch: [43][7040/7045]	Time 0.101 (0.241)	Data 0.000 (0.177)	Loss 2.9641 (3.1765)	Prec@1 35.156 (27.434)	Prec@5 57.812 (55.768)
Test: [0/143]	Time 1.454 (1.454)	Loss 2.5718 (2.5718)	Prec@1 37.109 (37.109)	Prec@5 70.312 (70.312)
Test: [10/143]	Time 0.104 (0.244)	Loss 2.5078 (2.6012)	Prec@1 42.188 (37.607)	Prec@5 71.094 (68.643)
Test: [20/143]	Time 0.048 (0.228)	Loss 2.9641 (2.5549)	Prec@1 26.562 (37.872)	Prec@5 64.062 (69.903)
Test: [30/143]	Time 0.062 (0.201)	Loss 3.2410 (2.6032)	Prec@1 26.953 (37.878)	Prec@5 54.688 (68.687)
Test: [40/143]	Time 0.062 (0.201)	Loss 3.2903 (2.6172)	Prec@1 16.016 (37.290)	Prec@5 49.609 (67.978)
Test: [50/143]	Time 0.052 (0.190)	Loss 2.4539 (2.6645)	Prec@1 34.375 (35.846)	Prec@5 73.828 (67.050)
Test: [60/143]	Time 0.055 (0.191)	Loss 2.9758 (2.6464)	Prec@1 22.656 (36.168)	Prec@5 61.719 (67.463)
Test: [70/143]	Time 0.048 (0.186)	Loss 3.3688 (2.6419)	Prec@1 14.844 (36.048)	Prec@5 48.047 (67.452)
Test: [80/143]	Time 0.049 (0.188)	Loss 2.6736 (2.6365)	Prec@1 29.297 (36.150)	Prec@5 69.141 (67.573)
Test: [90/143]	Time 0.060 (0.182)	Loss 2.2656 (2.6326)	Prec@1 43.359 (36.217)	Prec@5 79.297 (67.557)
Test: [100/143]	Time 0.058 (0.183)	Loss 2.4915 (2.6276)	Prec@1 35.156 (36.262)	Prec@5 73.047 (67.628)
Test: [110/143]	Time 0.119 (0.180)	Loss 2.4478 (2.6254)	Prec@1 41.406 (36.458)	Prec@5 69.531 (67.663)
Test: [120/143]	Time 0.056 (0.180)	Loss 1.9618 (2.6051)	Prec@1 57.422 (36.938)	Prec@5 83.203 (68.095)
Test: [130/143]	Time 0.112 (0.179)	Loss 2.1499 (2.6149)	Prec@1 53.516 (36.778)	Prec@5 71.875 (67.700)
Test: [140/143]	Time 0.057 (0.179)	Loss 3.3997 (2.6370)	Prec@1 17.969 (36.245)	Prec@5 49.609 (67.176)
 * Prec@1 36.244 Prec@5 67.200
Epoch: [44][0/7045]	Time 2.601 (2.601)	Data 2.543 (2.543)	Loss 2.8985 (2.8985)	Prec@1 32.812 (32.812)	Prec@5 62.500 (62.500)
Epoch: [44][10/7045]	Time 0.102 (0.436)	Data 0.001 (0.347)	Loss 3.1078 (3.1258)	Prec@1 30.078 (28.942)	Prec@5 60.547 (58.097)
Epoch: [44][20/7045]	Time 0.381 (0.363)	Data 0.331 (0.283)	Loss 3.2648 (3.1517)	Prec@1 29.688 (28.404)	Prec@5 57.031 (57.068)
Epoch: [44][30/7045]	Time 0.101 (0.322)	Data 0.006 (0.246)	Loss 2.9499 (3.1439)	Prec@1 28.125 (28.264)	Prec@5 62.500 (57.258)
Epoch: [44][40/7045]	Time 0.120 (0.313)	Data 0.069 (0.237)	Loss 3.0784 (3.1351)	Prec@1 25.391 (28.544)	Prec@5 55.469 (57.165)
Epoch: [44][50/7045]	Time 0.270 (0.301)	Data 0.221 (0.228)	Loss 3.1060 (3.1464)	Prec@1 30.859 (28.408)	Prec@5 62.891 (57.024)
Epoch: [44][60/7045]	Time 0.101 (0.293)	Data 0.001 (0.222)	Loss 3.1199 (3.1337)	Prec@1 27.734 (28.445)	Prec@5 56.250 (57.217)
Epoch: [44][70/7045]	Time 0.515 (0.292)	Data 0.464 (0.222)	Loss 3.1559 (3.1418)	Prec@1 28.906 (28.340)	Prec@5 55.859 (56.982)
Epoch: [44][80/7045]	Time 0.493 (0.289)	Data 0.442 (0.221)	Loss 3.3622 (3.1420)	Prec@1 25.000 (28.395)	Prec@5 55.078 (57.036)
Epoch: [44][90/7045]	Time 0.102 (0.283)	Data 0.007 (0.216)	Loss 3.2696 (3.1387)	Prec@1 28.906 (28.425)	Prec@5 54.297 (57.023)
Epoch: [44][100/7045]	Time 0.263 (0.280)	Data 0.212 (0.214)	Loss 3.0185 (3.1371)	Prec@1 28.906 (28.415)	Prec@5 58.594 (57.027)
Epoch: [44][110/7045]	Time 0.353 (0.280)	Data 0.301 (0.214)	Loss 3.3893 (3.1349)	Prec@1 24.609 (28.484)	Prec@5 51.562 (57.010)
Epoch: [44][120/7045]	Time 0.337 (0.277)	Data 0.276 (0.212)	Loss 2.9020 (3.1330)	Prec@1 28.906 (28.422)	Prec@5 61.328 (57.012)
Epoch: [44][130/7045]	Time 0.116 (0.276)	Data 0.065 (0.212)	Loss 3.0015 (3.1318)	Prec@1 32.422 (28.396)	Prec@5 60.547 (56.992)
Epoch: [44][140/7045]	Time 0.102 (0.274)	Data 0.001 (0.209)	Loss 3.4335 (3.1356)	Prec@1 23.047 (28.372)	Prec@5 50.000 (56.879)
Epoch: [44][150/7045]	Time 0.099 (0.274)	Data 0.001 (0.209)	Loss 3.0250 (3.1321)	Prec@1 28.125 (28.412)	Prec@5 58.203 (56.923)
Epoch: [44][160/7045]	Time 0.209 (0.272)	Data 0.158 (0.207)	Loss 3.2362 (3.1311)	Prec@1 27.344 (28.448)	Prec@5 52.734 (56.954)
Epoch: [44][170/7045]	Time 0.101 (0.271)	Data 0.003 (0.206)	Loss 3.1305 (3.1307)	Prec@1 26.172 (28.417)	Prec@5 54.297 (56.917)
Epoch: [44][180/7045]	Time 0.465 (0.271)	Data 0.414 (0.206)	Loss 3.3352 (3.1321)	Prec@1 25.000 (28.410)	Prec@5 53.516 (56.891)
Epoch: [44][190/7045]	Time 0.102 (0.269)	Data 0.050 (0.204)	Loss 3.0901 (3.1332)	Prec@1 29.688 (28.317)	Prec@5 59.375 (56.878)
Epoch: [44][200/7045]	Time 0.105 (0.270)	Data 0.003 (0.204)	Loss 3.1169 (3.1318)	Prec@1 25.781 (28.300)	Prec@5 56.641 (56.911)
Epoch: [44][210/7045]	Time 0.588 (0.271)	Data 0.536 (0.205)	Loss 3.1281 (3.1319)	Prec@1 27.344 (28.229)	Prec@5 57.422 (56.942)
Epoch: [44][220/7045]	Time 0.102 (0.268)	Data 0.001 (0.201)	Loss 3.2813 (3.1307)	Prec@1 24.219 (28.174)	Prec@5 50.781 (56.932)
Epoch: [44][230/7045]	Time 0.102 (0.270)	Data 0.001 (0.202)	Loss 3.1443 (3.1305)	Prec@1 29.297 (28.206)	Prec@5 58.594 (56.937)
Epoch: [44][240/7045]	Time 0.522 (0.268)	Data 0.471 (0.201)	Loss 3.0643 (3.1277)	Prec@1 30.469 (28.217)	Prec@5 58.594 (56.999)
Epoch: [44][250/7045]	Time 0.338 (0.268)	Data 0.288 (0.200)	Loss 3.2688 (3.1289)	Prec@1 28.906 (28.189)	Prec@5 55.469 (56.953)
Epoch: [44][260/7045]	Time 0.101 (0.268)	Data 0.001 (0.200)	Loss 3.0145 (3.1287)	Prec@1 30.078 (28.206)	Prec@5 58.594 (56.894)
Epoch: [44][270/7045]	Time 0.102 (0.267)	Data 0.001 (0.199)	Loss 3.3246 (3.1293)	Prec@1 27.344 (28.181)	Prec@5 48.828 (56.845)
Epoch: [44][280/7045]	Time 0.516 (0.267)	Data 0.464 (0.199)	Loss 3.0373 (3.1280)	Prec@1 30.859 (28.189)	Prec@5 55.469 (56.852)
Epoch: [44][290/7045]	Time 0.101 (0.266)	Data 0.008 (0.198)	Loss 3.2346 (3.1295)	Prec@1 28.516 (28.164)	Prec@5 56.250 (56.833)
Epoch: [44][300/7045]	Time 0.598 (0.267)	Data 0.548 (0.198)	Loss 3.0708 (3.1290)	Prec@1 28.125 (28.144)	Prec@5 58.594 (56.828)
Epoch: [44][310/7045]	Time 0.309 (0.265)	Data 0.259 (0.197)	Loss 3.2330 (3.1319)	Prec@1 25.781 (28.116)	Prec@5 56.641 (56.795)
Epoch: [44][320/7045]	Time 0.110 (0.266)	Data 0.001 (0.197)	Loss 3.0767 (3.1317)	Prec@1 28.125 (28.080)	Prec@5 58.594 (56.812)
Epoch: [44][330/7045]	Time 0.668 (0.266)	Data 0.616 (0.197)	Loss 3.0971 (3.1303)	Prec@1 27.344 (28.067)	Prec@5 56.250 (56.850)
Epoch: [44][340/7045]	Time 0.562 (0.265)	Data 0.511 (0.196)	Loss 3.3445 (3.1302)	Prec@1 25.391 (28.087)	Prec@5 51.562 (56.857)
Epoch: [44][350/7045]	Time 0.101 (0.265)	Data 0.001 (0.197)	Loss 3.1780 (3.1299)	Prec@1 29.688 (28.127)	Prec@5 56.641 (56.894)
Epoch: [44][360/7045]	Time 0.583 (0.265)	Data 0.531 (0.196)	Loss 3.1219 (3.1300)	Prec@1 28.516 (28.130)	Prec@5 55.469 (56.899)
Epoch: [44][370/7045]	Time 0.369 (0.264)	Data 0.319 (0.195)	Loss 3.1507 (3.1298)	Prec@1 30.859 (28.163)	Prec@5 57.812 (56.907)
Epoch: [44][380/7045]	Time 0.103 (0.264)	Data 0.001 (0.195)	Loss 3.2502 (3.1292)	Prec@1 27.734 (28.188)	Prec@5 48.828 (56.904)
Epoch: [44][390/7045]	Time 0.361 (0.263)	Data 0.309 (0.195)	Loss 3.2616 (3.1315)	Prec@1 26.172 (28.168)	Prec@5 53.906 (56.848)
Epoch: [44][400/7045]	Time 0.375 (0.263)	Data 0.325 (0.194)	Loss 3.0240 (3.1322)	Prec@1 32.031 (28.137)	Prec@5 59.766 (56.841)
Epoch: [44][410/7045]	Time 0.102 (0.263)	Data 0.001 (0.194)	Loss 3.1548 (3.1310)	Prec@1 26.953 (28.192)	Prec@5 57.812 (56.903)
Epoch: [44][420/7045]	Time 0.110 (0.263)	Data 0.001 (0.194)	Loss 3.0370 (3.1306)	Prec@1 30.859 (28.174)	Prec@5 58.984 (56.905)
Epoch: [44][430/7045]	Time 0.103 (0.262)	Data 0.001 (0.193)	Loss 3.2012 (3.1328)	Prec@1 24.609 (28.129)	Prec@5 53.906 (56.827)
Epoch: [44][440/7045]	Time 0.101 (0.262)	Data 0.001 (0.194)	Loss 3.1938 (3.1337)	Prec@1 25.781 (28.086)	Prec@5 54.297 (56.791)
Epoch: [44][450/7045]	Time 0.111 (0.262)	Data 0.060 (0.193)	Loss 3.2640 (3.1348)	Prec@1 26.172 (28.071)	Prec@5 52.344 (56.759)
Epoch: [44][460/7045]	Time 0.102 (0.262)	Data 0.001 (0.193)	Loss 3.2375 (3.1339)	Prec@1 32.422 (28.106)	Prec@5 54.297 (56.768)
Epoch: [44][470/7045]	Time 0.117 (0.262)	Data 0.061 (0.193)	Loss 2.9889 (3.1350)	Prec@1 32.812 (28.077)	Prec@5 59.766 (56.730)
Epoch: [44][480/7045]	Time 0.102 (0.262)	Data 0.001 (0.193)	Loss 3.1636 (3.1351)	Prec@1 27.344 (28.072)	Prec@5 58.594 (56.728)
Epoch: [44][490/7045]	Time 0.101 (0.261)	Data 0.001 (0.193)	Loss 3.3773 (3.1353)	Prec@1 24.609 (28.089)	Prec@5 53.906 (56.725)
Epoch: [44][500/7045]	Time 0.133 (0.261)	Data 0.082 (0.193)	Loss 3.1202 (3.1352)	Prec@1 28.906 (28.102)	Prec@5 56.641 (56.724)
Epoch: [44][510/7045]	Time 0.104 (0.261)	Data 0.047 (0.193)	Loss 3.1607 (3.1361)	Prec@1 26.172 (28.067)	Prec@5 55.859 (56.694)
Epoch: [44][520/7045]	Time 0.104 (0.261)	Data 0.052 (0.192)	Loss 3.1632 (3.1355)	Prec@1 28.125 (28.073)	Prec@5 53.906 (56.705)
Epoch: [44][530/7045]	Time 0.242 (0.261)	Data 0.185 (0.193)	Loss 3.1702 (3.1354)	Prec@1 27.344 (28.082)	Prec@5 56.250 (56.689)
Epoch: [44][540/7045]	Time 0.175 (0.261)	Data 0.125 (0.192)	Loss 3.2275 (3.1347)	Prec@1 22.266 (28.070)	Prec@5 54.297 (56.706)
Epoch: [44][550/7045]	Time 0.138 (0.260)	Data 0.086 (0.192)	Loss 3.1574 (3.1344)	Prec@1 30.078 (28.080)	Prec@5 57.031 (56.719)
Epoch: [44][560/7045]	Time 0.492 (0.261)	Data 0.440 (0.193)	Loss 3.0315 (3.1330)	Prec@1 30.859 (28.106)	Prec@5 56.250 (56.739)
Epoch: [44][570/7045]	Time 0.130 (0.260)	Data 0.079 (0.192)	Loss 2.9890 (3.1336)	Prec@1 30.859 (28.088)	Prec@5 56.641 (56.717)
Epoch: [44][580/7045]	Time 0.195 (0.260)	Data 0.144 (0.192)	Loss 3.0921 (3.1340)	Prec@1 29.688 (28.073)	Prec@5 56.641 (56.692)
Epoch: [44][590/7045]	Time 0.348 (0.260)	Data 0.297 (0.192)	Loss 3.2751 (3.1346)	Prec@1 26.562 (28.067)	Prec@5 51.562 (56.674)
Epoch: [44][600/7045]	Time 0.102 (0.260)	Data 0.001 (0.192)	Loss 3.0524 (3.1355)	Prec@1 27.734 (28.051)	Prec@5 61.328 (56.663)
Epoch: [44][610/7045]	Time 0.309 (0.260)	Data 0.258 (0.192)	Loss 3.0059 (3.1363)	Prec@1 26.953 (28.023)	Prec@5 58.984 (56.637)
Epoch: [44][620/7045]	Time 0.198 (0.260)	Data 0.147 (0.192)	Loss 2.9996 (3.1366)	Prec@1 28.125 (28.009)	Prec@5 58.594 (56.622)
Epoch: [44][630/7045]	Time 0.101 (0.260)	Data 0.001 (0.191)	Loss 3.2359 (3.1367)	Prec@1 25.781 (28.002)	Prec@5 55.469 (56.638)
Epoch: [44][640/7045]	Time 0.350 (0.260)	Data 0.299 (0.192)	Loss 3.0232 (3.1355)	Prec@1 28.125 (28.034)	Prec@5 59.375 (56.649)
Epoch: [44][650/7045]	Time 0.430 (0.260)	Data 0.379 (0.192)	Loss 3.2647 (3.1360)	Prec@1 25.391 (28.030)	Prec@5 53.516 (56.613)
Epoch: [44][660/7045]	Time 0.102 (0.259)	Data 0.001 (0.191)	Loss 3.1781 (3.1358)	Prec@1 26.172 (28.029)	Prec@5 52.344 (56.602)
Epoch: [44][670/7045]	Time 0.200 (0.260)	Data 0.150 (0.191)	Loss 3.3197 (3.1369)	Prec@1 24.609 (27.992)	Prec@5 51.562 (56.575)
Epoch: [44][680/7045]	Time 0.352 (0.260)	Data 0.301 (0.191)	Loss 3.1187 (3.1372)	Prec@1 27.734 (27.966)	Prec@5 56.641 (56.564)
Epoch: [44][690/7045]	Time 0.102 (0.259)	Data 0.001 (0.191)	Loss 3.2565 (3.1366)	Prec@1 26.562 (27.979)	Prec@5 56.250 (56.586)
Epoch: [44][700/7045]	Time 0.102 (0.260)	Data 0.001 (0.191)	Loss 3.0707 (3.1362)	Prec@1 26.953 (27.991)	Prec@5 59.766 (56.581)
Epoch: [44][710/7045]	Time 0.101 (0.260)	Data 0.001 (0.191)	Loss 2.9008 (3.1355)	Prec@1 29.688 (28.007)	Prec@5 62.109 (56.598)
Epoch: [44][720/7045]	Time 0.102 (0.260)	Data 0.001 (0.191)	Loss 3.1939 (3.1364)	Prec@1 27.734 (28.001)	Prec@5 53.906 (56.592)
Epoch: [44][730/7045]	Time 0.109 (0.260)	Data 0.058 (0.191)	Loss 3.0419 (3.1360)	Prec@1 29.688 (28.004)	Prec@5 56.250 (56.602)
Epoch: [44][740/7045]	Time 0.103 (0.260)	Data 0.001 (0.191)	Loss 2.9306 (3.1357)	Prec@1 30.469 (28.008)	Prec@5 58.984 (56.602)
Epoch: [44][750/7045]	Time 0.101 (0.260)	Data 0.001 (0.191)	Loss 3.1784 (3.1364)	Prec@1 30.469 (28.007)	Prec@5 55.078 (56.587)
Epoch: [44][760/7045]	Time 0.306 (0.260)	Data 0.254 (0.192)	Loss 3.2761 (3.1367)	Prec@1 29.297 (28.005)	Prec@5 53.125 (56.582)
Epoch: [44][770/7045]	Time 0.277 (0.260)	Data 0.226 (0.191)	Loss 3.0539 (3.1359)	Prec@1 25.000 (28.007)	Prec@5 61.719 (56.591)
Epoch: [44][780/7045]	Time 0.543 (0.260)	Data 0.493 (0.192)	Loss 3.0969 (3.1355)	Prec@1 28.906 (28.008)	Prec@5 60.156 (56.606)
Epoch: [44][790/7045]	Time 0.101 (0.260)	Data 0.049 (0.191)	Loss 2.9556 (3.1348)	Prec@1 33.203 (28.031)	Prec@5 59.766 (56.616)
Epoch: [44][800/7045]	Time 0.178 (0.260)	Data 0.127 (0.192)	Loss 3.1186 (3.1346)	Prec@1 28.516 (28.033)	Prec@5 57.031 (56.613)
Epoch: [44][810/7045]	Time 0.278 (0.260)	Data 0.227 (0.192)	Loss 3.2782 (3.1357)	Prec@1 26.172 (28.033)	Prec@5 54.297 (56.591)
Epoch: [44][820/7045]	Time 0.881 (0.261)	Data 0.829 (0.192)	Loss 3.0628 (3.1355)	Prec@1 30.859 (28.039)	Prec@5 55.078 (56.604)
Epoch: [44][830/7045]	Time 0.110 (0.260)	Data 0.059 (0.191)	Loss 3.2697 (3.1363)	Prec@1 25.781 (28.011)	Prec@5 53.906 (56.579)
Epoch: [44][840/7045]	Time 0.348 (0.260)	Data 0.296 (0.192)	Loss 3.0303 (3.1368)	Prec@1 27.344 (27.997)	Prec@5 58.594 (56.566)
Epoch: [44][850/7045]	Time 0.102 (0.260)	Data 0.001 (0.192)	Loss 3.2046 (3.1371)	Prec@1 29.297 (27.997)	Prec@5 52.344 (56.552)
Epoch: [44][860/7045]	Time 0.101 (0.260)	Data 0.001 (0.192)	Loss 3.1275 (3.1373)	Prec@1 28.125 (27.982)	Prec@5 53.516 (56.542)
Epoch: [44][870/7045]	Time 0.102 (0.260)	Data 0.001 (0.192)	Loss 3.3710 (3.1381)	Prec@1 23.438 (27.968)	Prec@5 54.297 (56.534)
Epoch: [44][880/7045]	Time 0.101 (0.260)	Data 0.017 (0.192)	Loss 3.2853 (3.1387)	Prec@1 28.516 (27.964)	Prec@5 53.516 (56.514)
Epoch: [44][890/7045]	Time 0.138 (0.260)	Data 0.088 (0.192)	Loss 3.2148 (3.1390)	Prec@1 27.344 (27.962)	Prec@5 56.641 (56.518)
Epoch: [44][900/7045]	Time 0.112 (0.260)	Data 0.060 (0.192)	Loss 3.2256 (3.1398)	Prec@1 25.781 (27.954)	Prec@5 52.344 (56.510)
Epoch: [44][910/7045]	Time 0.137 (0.260)	Data 0.085 (0.192)	Loss 3.0924 (3.1400)	Prec@1 27.734 (27.959)	Prec@5 58.203 (56.505)
Epoch: [44][920/7045]	Time 0.364 (0.260)	Data 0.306 (0.192)	Loss 2.9971 (3.1394)	Prec@1 28.516 (27.971)	Prec@5 61.328 (56.515)
Epoch: [44][930/7045]	Time 0.357 (0.260)	Data 0.306 (0.192)	Loss 3.0640 (3.1400)	Prec@1 28.125 (27.971)	Prec@5 55.859 (56.511)
Epoch: [44][940/7045]	Time 0.101 (0.260)	Data 0.001 (0.192)	Loss 3.2826 (3.1407)	Prec@1 26.172 (27.962)	Prec@5 51.953 (56.506)
Epoch: [44][950/7045]	Time 0.166 (0.260)	Data 0.114 (0.192)	Loss 3.1513 (3.1410)	Prec@1 26.562 (27.953)	Prec@5 52.734 (56.500)
Epoch: [44][960/7045]	Time 0.118 (0.260)	Data 0.001 (0.192)	Loss 3.2919 (3.1416)	Prec@1 25.000 (27.947)	Prec@5 54.688 (56.484)
Epoch: [44][970/7045]	Time 0.123 (0.260)	Data 0.064 (0.192)	Loss 3.0525 (3.1412)	Prec@1 27.344 (27.949)	Prec@5 60.547 (56.487)
Epoch: [44][980/7045]	Time 0.102 (0.260)	Data 0.001 (0.192)	Loss 3.1896 (3.1419)	Prec@1 26.953 (27.946)	Prec@5 54.297 (56.471)
Epoch: [44][990/7045]	Time 0.274 (0.260)	Data 0.218 (0.192)	Loss 3.2947 (3.1422)	Prec@1 24.219 (27.946)	Prec@5 51.172 (56.469)
Epoch: [44][1000/7045]	Time 0.233 (0.260)	Data 0.183 (0.191)	Loss 3.1151 (3.1429)	Prec@1 30.859 (27.935)	Prec@5 58.984 (56.458)
Epoch: [44][1010/7045]	Time 0.147 (0.260)	Data 0.090 (0.191)	Loss 3.1234 (3.1434)	Prec@1 25.391 (27.919)	Prec@5 58.203 (56.454)
Epoch: [44][1020/7045]	Time 0.179 (0.259)	Data 0.128 (0.191)	Loss 3.1943 (3.1439)	Prec@1 26.172 (27.920)	Prec@5 53.906 (56.436)
Epoch: [44][1030/7045]	Time 0.376 (0.259)	Data 0.325 (0.191)	Loss 3.1220 (3.1441)	Prec@1 27.344 (27.909)	Prec@5 54.297 (56.433)
Epoch: [44][1040/7045]	Time 0.101 (0.259)	Data 0.001 (0.191)	Loss 3.3037 (3.1443)	Prec@1 25.781 (27.904)	Prec@5 53.516 (56.432)
Epoch: [44][1050/7045]	Time 0.456 (0.259)	Data 0.398 (0.191)	Loss 3.3708 (3.1446)	Prec@1 25.781 (27.901)	Prec@5 50.000 (56.422)
Epoch: [44][1060/7045]	Time 0.104 (0.259)	Data 0.051 (0.191)	Loss 3.0697 (3.1442)	Prec@1 33.984 (27.912)	Prec@5 58.203 (56.446)
Epoch: [44][1070/7045]	Time 0.517 (0.259)	Data 0.466 (0.191)	Loss 3.2310 (3.1447)	Prec@1 29.688 (27.915)	Prec@5 57.031 (56.435)
Epoch: [44][1080/7045]	Time 0.176 (0.258)	Data 0.119 (0.190)	Loss 3.1518 (3.1445)	Prec@1 27.734 (27.916)	Prec@5 53.906 (56.436)
Epoch: [44][1090/7045]	Time 0.377 (0.258)	Data 0.320 (0.190)	Loss 3.1302 (3.1444)	Prec@1 29.297 (27.910)	Prec@5 57.422 (56.438)
Epoch: [44][1100/7045]	Time 0.310 (0.258)	Data 0.259 (0.190)	Loss 3.3675 (3.1446)	Prec@1 26.562 (27.908)	Prec@5 50.781 (56.435)
Epoch: [44][1110/7045]	Time 0.263 (0.258)	Data 0.212 (0.190)	Loss 3.2636 (3.1449)	Prec@1 24.219 (27.905)	Prec@5 52.344 (56.423)
Epoch: [44][1120/7045]	Time 0.378 (0.258)	Data 0.328 (0.190)	Loss 3.2844 (3.1447)	Prec@1 30.469 (27.911)	Prec@5 53.125 (56.424)
Epoch: [44][1130/7045]	Time 0.103 (0.258)	Data 0.001 (0.190)	Loss 3.3954 (3.1454)	Prec@1 24.219 (27.903)	Prec@5 50.781 (56.410)
Epoch: [44][1140/7045]	Time 0.301 (0.258)	Data 0.250 (0.190)	Loss 3.0697 (3.1456)	Prec@1 32.031 (27.909)	Prec@5 57.812 (56.404)
Epoch: [44][1150/7045]	Time 0.117 (0.257)	Data 0.065 (0.190)	Loss 3.1683 (3.1458)	Prec@1 29.688 (27.900)	Prec@5 54.688 (56.400)
Epoch: [44][1160/7045]	Time 0.190 (0.257)	Data 0.138 (0.190)	Loss 3.1573 (3.1456)	Prec@1 31.641 (27.899)	Prec@5 58.984 (56.409)
Epoch: [44][1170/7045]	Time 0.103 (0.257)	Data 0.046 (0.190)	Loss 3.1227 (3.1458)	Prec@1 25.781 (27.896)	Prec@5 58.984 (56.408)
Epoch: [44][1180/7045]	Time 0.101 (0.257)	Data 0.005 (0.190)	Loss 2.9463 (3.1455)	Prec@1 31.641 (27.900)	Prec@5 61.719 (56.417)
Epoch: [44][1190/7045]	Time 0.101 (0.257)	Data 0.001 (0.189)	Loss 3.3084 (3.1464)	Prec@1 26.562 (27.882)	Prec@5 51.562 (56.398)
Epoch: [44][1200/7045]	Time 0.270 (0.257)	Data 0.218 (0.190)	Loss 3.1089 (3.1460)	Prec@1 28.125 (27.876)	Prec@5 55.078 (56.405)
Epoch: [44][1210/7045]	Time 0.280 (0.257)	Data 0.229 (0.190)	Loss 3.1341 (3.1460)	Prec@1 26.172 (27.875)	Prec@5 57.422 (56.407)
Epoch: [44][1220/7045]	Time 0.408 (0.257)	Data 0.358 (0.190)	Loss 3.1298 (3.1460)	Prec@1 28.516 (27.869)	Prec@5 54.297 (56.410)
Epoch: [44][1230/7045]	Time 0.427 (0.257)	Data 0.376 (0.190)	Loss 3.0709 (3.1454)	Prec@1 27.734 (27.880)	Prec@5 58.203 (56.423)
Epoch: [44][1240/7045]	Time 0.350 (0.257)	Data 0.299 (0.189)	Loss 3.0652 (3.1453)	Prec@1 28.125 (27.872)	Prec@5 58.984 (56.421)
Epoch: [44][1250/7045]	Time 0.246 (0.256)	Data 0.196 (0.189)	Loss 3.0758 (3.1452)	Prec@1 28.516 (27.880)	Prec@5 56.641 (56.421)
Epoch: [44][1260/7045]	Time 0.154 (0.256)	Data 0.102 (0.190)	Loss 3.0693 (3.1451)	Prec@1 30.859 (27.879)	Prec@5 55.469 (56.421)
Epoch: [44][1270/7045]	Time 0.103 (0.256)	Data 0.007 (0.189)	Loss 3.2156 (3.1450)	Prec@1 30.469 (27.879)	Prec@5 55.078 (56.424)
Epoch: [44][1280/7045]	Time 0.102 (0.256)	Data 0.001 (0.189)	Loss 3.3304 (3.1453)	Prec@1 24.609 (27.874)	Prec@5 53.125 (56.418)
Epoch: [44][1290/7045]	Time 0.102 (0.256)	Data 0.001 (0.189)	Loss 3.1412 (3.1455)	Prec@1 26.562 (27.869)	Prec@5 54.297 (56.405)
Epoch: [44][1300/7045]	Time 0.106 (0.256)	Data 0.046 (0.189)	Loss 3.1540 (3.1456)	Prec@1 28.906 (27.872)	Prec@5 55.078 (56.409)
Epoch: [44][1310/7045]	Time 0.103 (0.256)	Data 0.001 (0.189)	Loss 3.1635 (3.1458)	Prec@1 28.125 (27.864)	Prec@5 58.203 (56.405)
Epoch: [44][1320/7045]	Time 0.101 (0.256)	Data 0.048 (0.189)	Loss 2.9438 (3.1460)	Prec@1 30.078 (27.862)	Prec@5 61.719 (56.407)
Epoch: [44][1330/7045]	Time 0.255 (0.256)	Data 0.205 (0.189)	Loss 3.2267 (3.1460)	Prec@1 28.906 (27.862)	Prec@5 55.078 (56.402)
Epoch: [44][1340/7045]	Time 0.100 (0.255)	Data 0.048 (0.189)	Loss 3.0309 (3.1456)	Prec@1 28.125 (27.866)	Prec@5 59.766 (56.417)
Epoch: [44][1350/7045]	Time 0.593 (0.256)	Data 0.540 (0.189)	Loss 3.1447 (3.1460)	Prec@1 21.484 (27.859)	Prec@5 56.250 (56.410)
Epoch: [44][1360/7045]	Time 0.109 (0.255)	Data 0.058 (0.188)	Loss 3.1067 (3.1462)	Prec@1 28.516 (27.854)	Prec@5 56.250 (56.409)
Epoch: [44][1370/7045]	Time 0.692 (0.255)	Data 0.640 (0.188)	Loss 3.1761 (3.1463)	Prec@1 24.219 (27.857)	Prec@5 51.172 (56.396)
Epoch: [44][1380/7045]	Time 0.102 (0.255)	Data 0.001 (0.188)	Loss 3.1526 (3.1464)	Prec@1 24.219 (27.850)	Prec@5 56.250 (56.395)
Epoch: [44][1390/7045]	Time 0.613 (0.255)	Data 0.562 (0.188)	Loss 2.9511 (3.1465)	Prec@1 26.953 (27.851)	Prec@5 62.109 (56.400)
Epoch: [44][1400/7045]	Time 0.168 (0.255)	Data 0.116 (0.188)	Loss 3.2314 (3.1465)	Prec@1 25.781 (27.851)	Prec@5 51.562 (56.392)
Epoch: [44][1410/7045]	Time 0.567 (0.255)	Data 0.517 (0.188)	Loss 3.0623 (3.1464)	Prec@1 30.469 (27.848)	Prec@5 59.375 (56.397)
Epoch: [44][1420/7045]	Time 0.101 (0.255)	Data 0.003 (0.188)	Loss 3.0497 (3.1460)	Prec@1 29.688 (27.849)	Prec@5 57.031 (56.397)
Epoch: [44][1430/7045]	Time 0.284 (0.255)	Data 0.233 (0.188)	Loss 3.2483 (3.1463)	Prec@1 31.250 (27.846)	Prec@5 54.297 (56.392)
Epoch: [44][1440/7045]	Time 0.102 (0.255)	Data 0.001 (0.187)	Loss 2.9322 (3.1460)	Prec@1 31.641 (27.854)	Prec@5 59.375 (56.400)
Epoch: [44][1450/7045]	Time 0.106 (0.255)	Data 0.054 (0.187)	Loss 3.2653 (3.1460)	Prec@1 25.000 (27.854)	Prec@5 56.641 (56.404)
Epoch: [44][1460/7045]	Time 0.102 (0.254)	Data 0.001 (0.187)	Loss 3.2959 (3.1464)	Prec@1 26.953 (27.845)	Prec@5 53.906 (56.393)
Epoch: [44][1470/7045]	Time 0.239 (0.254)	Data 0.183 (0.187)	Loss 3.2061 (3.1460)	Prec@1 26.172 (27.848)	Prec@5 58.203 (56.403)
Epoch: [44][1480/7045]	Time 0.140 (0.254)	Data 0.090 (0.187)	Loss 3.2603 (3.1456)	Prec@1 29.297 (27.866)	Prec@5 53.516 (56.412)
Epoch: [44][1490/7045]	Time 0.197 (0.254)	Data 0.139 (0.187)	Loss 3.2517 (3.1459)	Prec@1 27.734 (27.860)	Prec@5 53.516 (56.403)
Epoch: [44][1500/7045]	Time 0.432 (0.254)	Data 0.380 (0.187)	Loss 3.0281 (3.1461)	Prec@1 28.125 (27.859)	Prec@5 58.203 (56.398)
Epoch: [44][1510/7045]	Time 0.114 (0.254)	Data 0.063 (0.187)	Loss 3.0985 (3.1461)	Prec@1 29.297 (27.857)	Prec@5 55.078 (56.394)
Epoch: [44][1520/7045]	Time 0.675 (0.254)	Data 0.624 (0.187)	Loss 3.2900 (3.1467)	Prec@1 29.297 (27.854)	Prec@5 56.641 (56.378)
Epoch: [44][1530/7045]	Time 0.108 (0.254)	Data 0.001 (0.187)	Loss 3.1553 (3.1469)	Prec@1 29.297 (27.855)	Prec@5 57.422 (56.375)
Epoch: [44][1540/7045]	Time 0.627 (0.254)	Data 0.576 (0.187)	Loss 3.2875 (3.1466)	Prec@1 24.219 (27.854)	Prec@5 52.734 (56.376)
Epoch: [44][1550/7045]	Time 0.234 (0.254)	Data 0.183 (0.187)	Loss 3.0157 (3.1468)	Prec@1 30.469 (27.851)	Prec@5 58.203 (56.373)
Epoch: [44][1560/7045]	Time 0.469 (0.254)	Data 0.419 (0.187)	Loss 3.0244 (3.1467)	Prec@1 29.688 (27.855)	Prec@5 58.203 (56.378)
Epoch: [44][1570/7045]	Time 0.192 (0.254)	Data 0.142 (0.187)	Loss 2.9668 (3.1467)	Prec@1 31.250 (27.856)	Prec@5 60.547 (56.373)
Epoch: [44][1580/7045]	Time 0.188 (0.254)	Data 0.137 (0.187)	Loss 3.4318 (3.1467)	Prec@1 26.953 (27.855)	Prec@5 49.609 (56.371)
Epoch: [44][1590/7045]	Time 0.231 (0.253)	Data 0.180 (0.187)	Loss 3.1863 (3.1466)	Prec@1 26.172 (27.853)	Prec@5 55.078 (56.373)
Epoch: [44][1600/7045]	Time 0.155 (0.253)	Data 0.104 (0.187)	Loss 3.1426 (3.1467)	Prec@1 30.469 (27.854)	Prec@5 55.078 (56.371)
Epoch: [44][1610/7045]	Time 0.154 (0.253)	Data 0.103 (0.186)	Loss 3.1394 (3.1472)	Prec@1 29.297 (27.847)	Prec@5 55.469 (56.358)
Epoch: [44][1620/7045]	Time 0.301 (0.253)	Data 0.251 (0.187)	Loss 3.0934 (3.1475)	Prec@1 27.344 (27.845)	Prec@5 58.594 (56.358)
Epoch: [44][1630/7045]	Time 0.102 (0.253)	Data 0.004 (0.186)	Loss 3.1730 (3.1475)	Prec@1 24.609 (27.843)	Prec@5 57.422 (56.356)
Epoch: [44][1640/7045]	Time 0.322 (0.253)	Data 0.271 (0.186)	Loss 3.1854 (3.1476)	Prec@1 26.953 (27.842)	Prec@5 51.953 (56.356)
Epoch: [44][1650/7045]	Time 0.102 (0.253)	Data 0.001 (0.186)	Loss 2.9998 (3.1472)	Prec@1 30.859 (27.849)	Prec@5 59.375 (56.362)
Epoch: [44][1660/7045]	Time 0.618 (0.253)	Data 0.565 (0.186)	Loss 3.1097 (3.1475)	Prec@1 31.641 (27.851)	Prec@5 58.984 (56.357)
Epoch: [44][1670/7045]	Time 0.108 (0.253)	Data 0.001 (0.186)	Loss 3.2640 (3.1475)	Prec@1 26.562 (27.851)	Prec@5 53.516 (56.357)
Epoch: [44][1680/7045]	Time 0.616 (0.253)	Data 0.563 (0.186)	Loss 3.3027 (3.1478)	Prec@1 26.562 (27.840)	Prec@5 56.641 (56.352)
Epoch: [44][1690/7045]	Time 0.102 (0.253)	Data 0.001 (0.186)	Loss 3.3086 (3.1483)	Prec@1 25.000 (27.833)	Prec@5 48.047 (56.341)
Epoch: [44][1700/7045]	Time 0.511 (0.253)	Data 0.454 (0.186)	Loss 3.1120 (3.1482)	Prec@1 26.562 (27.835)	Prec@5 55.078 (56.343)
Epoch: [44][1710/7045]	Time 0.103 (0.253)	Data 0.050 (0.186)	Loss 2.9655 (3.1486)	Prec@1 33.984 (27.835)	Prec@5 60.938 (56.339)
Epoch: [44][1720/7045]	Time 0.516 (0.253)	Data 0.466 (0.186)	Loss 3.1896 (3.1489)	Prec@1 26.953 (27.831)	Prec@5 57.812 (56.333)
Epoch: [44][1730/7045]	Time 0.111 (0.252)	Data 0.060 (0.186)	Loss 3.1350 (3.1489)	Prec@1 28.125 (27.829)	Prec@5 55.859 (56.328)
Epoch: [44][1740/7045]	Time 0.481 (0.252)	Data 0.430 (0.186)	Loss 3.1109 (3.1488)	Prec@1 31.641 (27.832)	Prec@5 54.688 (56.326)
Epoch: [44][1750/7045]	Time 0.102 (0.252)	Data 0.001 (0.186)	Loss 3.3319 (3.1492)	Prec@1 25.391 (27.826)	Prec@5 53.906 (56.318)
Epoch: [44][1760/7045]	Time 0.524 (0.252)	Data 0.472 (0.186)	Loss 3.3258 (3.1489)	Prec@1 23.438 (27.830)	Prec@5 52.344 (56.323)
Epoch: [44][1770/7045]	Time 0.125 (0.252)	Data 0.073 (0.185)	Loss 3.1463 (3.1486)	Prec@1 31.641 (27.840)	Prec@5 56.641 (56.331)
Epoch: [44][1780/7045]	Time 0.528 (0.252)	Data 0.471 (0.186)	Loss 3.6191 (3.1486)	Prec@1 22.656 (27.842)	Prec@5 48.047 (56.330)
Epoch: [44][1790/7045]	Time 0.314 (0.252)	Data 0.264 (0.185)	Loss 3.1331 (3.1483)	Prec@1 31.641 (27.853)	Prec@5 61.328 (56.335)
Epoch: [44][1800/7045]	Time 0.339 (0.252)	Data 0.283 (0.185)	Loss 3.1882 (3.1484)	Prec@1 29.297 (27.849)	Prec@5 55.859 (56.332)
Epoch: [44][1810/7045]	Time 0.413 (0.252)	Data 0.356 (0.185)	Loss 3.1030 (3.1486)	Prec@1 28.906 (27.852)	Prec@5 57.031 (56.327)
Epoch: [44][1820/7045]	Time 0.253 (0.252)	Data 0.201 (0.185)	Loss 2.9205 (3.1483)	Prec@1 32.031 (27.862)	Prec@5 61.328 (56.334)
Epoch: [44][1830/7045]	Time 0.484 (0.252)	Data 0.432 (0.185)	Loss 3.0517 (3.1478)	Prec@1 26.953 (27.866)	Prec@5 58.203 (56.347)
Epoch: [44][1840/7045]	Time 0.208 (0.252)	Data 0.158 (0.185)	Loss 3.1634 (3.1480)	Prec@1 25.781 (27.861)	Prec@5 56.250 (56.339)
Epoch: [44][1850/7045]	Time 0.460 (0.252)	Data 0.409 (0.186)	Loss 3.3390 (3.1480)	Prec@1 25.781 (27.864)	Prec@5 51.172 (56.340)
Epoch: [44][1860/7045]	Time 0.230 (0.252)	Data 0.179 (0.185)	Loss 3.1582 (3.1479)	Prec@1 25.391 (27.868)	Prec@5 54.688 (56.339)
Epoch: [44][1870/7045]	Time 0.459 (0.252)	Data 0.409 (0.185)	Loss 3.1029 (3.1480)	Prec@1 27.734 (27.868)	Prec@5 57.422 (56.339)
Epoch: [44][1880/7045]	Time 0.234 (0.252)	Data 0.182 (0.185)	Loss 2.9079 (3.1481)	Prec@1 33.594 (27.869)	Prec@5 60.938 (56.336)
Epoch: [44][1890/7045]	Time 0.550 (0.252)	Data 0.499 (0.185)	Loss 3.2769 (3.1479)	Prec@1 24.219 (27.875)	Prec@5 53.125 (56.340)
Epoch: [44][1900/7045]	Time 0.206 (0.251)	Data 0.156 (0.185)	Loss 3.3389 (3.1478)	Prec@1 28.906 (27.878)	Prec@5 50.781 (56.338)
Epoch: [44][1910/7045]	Time 0.470 (0.251)	Data 0.411 (0.185)	Loss 3.2150 (3.1479)	Prec@1 28.125 (27.880)	Prec@5 57.031 (56.338)
Epoch: [44][1920/7045]	Time 0.202 (0.251)	Data 0.151 (0.185)	Loss 2.9156 (3.1475)	Prec@1 28.125 (27.883)	Prec@5 61.719 (56.346)
Epoch: [44][1930/7045]	Time 0.390 (0.251)	Data 0.339 (0.185)	Loss 3.1339 (3.1477)	Prec@1 28.125 (27.879)	Prec@5 58.203 (56.347)
Epoch: [44][1940/7045]	Time 0.264 (0.251)	Data 0.213 (0.185)	Loss 3.0969 (3.1472)	Prec@1 29.297 (27.889)	Prec@5 55.859 (56.354)
Epoch: [44][1950/7045]	Time 0.319 (0.251)	Data 0.268 (0.185)	Loss 3.0837 (3.1472)	Prec@1 26.953 (27.882)	Prec@5 57.812 (56.354)
Epoch: [44][1960/7045]	Time 0.265 (0.251)	Data 0.214 (0.185)	Loss 3.1212 (3.1469)	Prec@1 28.125 (27.882)	Prec@5 55.859 (56.354)
Epoch: [44][1970/7045]	Time 0.267 (0.251)	Data 0.217 (0.185)	Loss 3.0029 (3.1469)	Prec@1 32.422 (27.883)	Prec@5 58.203 (56.357)
Epoch: [44][1980/7045]	Time 0.259 (0.251)	Data 0.207 (0.185)	Loss 3.1775 (3.1470)	Prec@1 26.562 (27.883)	Prec@5 57.812 (56.358)
Epoch: [44][1990/7045]	Time 0.103 (0.251)	Data 0.050 (0.185)	Loss 3.1940 (3.1473)	Prec@1 22.656 (27.873)	Prec@5 52.734 (56.353)
Epoch: [44][2000/7045]	Time 0.241 (0.251)	Data 0.189 (0.185)	Loss 3.2039 (3.1477)	Prec@1 29.688 (27.865)	Prec@5 53.516 (56.341)
Epoch: [44][2010/7045]	Time 0.106 (0.251)	Data 0.053 (0.185)	Loss 3.1458 (3.1477)	Prec@1 27.734 (27.859)	Prec@5 57.031 (56.342)
Epoch: [44][2020/7045]	Time 0.305 (0.251)	Data 0.255 (0.185)	Loss 3.0272 (3.1476)	Prec@1 28.516 (27.865)	Prec@5 60.938 (56.343)
Epoch: [44][2030/7045]	Time 0.102 (0.251)	Data 0.001 (0.185)	Loss 3.0706 (3.1475)	Prec@1 32.422 (27.866)	Prec@5 57.422 (56.347)
Epoch: [44][2040/7045]	Time 0.238 (0.251)	Data 0.187 (0.185)	Loss 3.3708 (3.1477)	Prec@1 20.312 (27.857)	Prec@5 54.297 (56.345)
Epoch: [44][2050/7045]	Time 0.100 (0.251)	Data 0.044 (0.185)	Loss 3.0695 (3.1479)	Prec@1 27.344 (27.859)	Prec@5 59.375 (56.344)
Epoch: [44][2060/7045]	Time 0.194 (0.251)	Data 0.143 (0.185)	Loss 3.1359 (3.1478)	Prec@1 30.469 (27.859)	Prec@5 57.031 (56.346)
Epoch: [44][2070/7045]	Time 0.102 (0.250)	Data 0.001 (0.185)	Loss 3.2501 (3.1478)	Prec@1 24.219 (27.857)	Prec@5 55.469 (56.349)
Epoch: [44][2080/7045]	Time 0.552 (0.251)	Data 0.500 (0.185)	Loss 3.0830 (3.1477)	Prec@1 29.297 (27.862)	Prec@5 59.766 (56.353)
Epoch: [44][2090/7045]	Time 0.103 (0.250)	Data 0.001 (0.185)	Loss 3.0423 (3.1478)	Prec@1 28.906 (27.860)	Prec@5 59.375 (56.354)
Epoch: [44][2100/7045]	Time 0.522 (0.251)	Data 0.471 (0.185)	Loss 3.1414 (3.1481)	Prec@1 27.734 (27.858)	Prec@5 55.469 (56.347)
Epoch: [44][2110/7045]	Time 0.275 (0.250)	Data 0.224 (0.185)	Loss 3.0582 (3.1482)	Prec@1 29.688 (27.853)	Prec@5 57.031 (56.344)
Epoch: [44][2120/7045]	Time 0.367 (0.250)	Data 0.316 (0.185)	Loss 3.2027 (3.1480)	Prec@1 28.906 (27.857)	Prec@5 57.812 (56.349)
Epoch: [44][2130/7045]	Time 0.209 (0.250)	Data 0.156 (0.185)	Loss 3.0699 (3.1481)	Prec@1 29.297 (27.854)	Prec@5 55.859 (56.347)
Epoch: [44][2140/7045]	Time 0.112 (0.250)	Data 0.053 (0.185)	Loss 3.2693 (3.1482)	Prec@1 21.094 (27.847)	Prec@5 52.734 (56.349)
Epoch: [44][2150/7045]	Time 0.102 (0.250)	Data 0.001 (0.185)	Loss 3.2330 (3.1481)	Prec@1 23.438 (27.848)	Prec@5 55.859 (56.353)
Epoch: [44][2160/7045]	Time 0.102 (0.250)	Data 0.048 (0.185)	Loss 3.1327 (3.1479)	Prec@1 25.781 (27.852)	Prec@5 54.688 (56.358)
Epoch: [44][2170/7045]	Time 0.687 (0.250)	Data 0.633 (0.185)	Loss 3.4349 (3.1482)	Prec@1 23.828 (27.847)	Prec@5 48.047 (56.350)
Epoch: [44][2180/7045]	Time 0.206 (0.250)	Data 0.155 (0.185)	Loss 3.1937 (3.1482)	Prec@1 26.172 (27.847)	Prec@5 55.469 (56.347)
Epoch: [44][2190/7045]	Time 0.464 (0.250)	Data 0.414 (0.185)	Loss 3.2749 (3.1481)	Prec@1 29.688 (27.850)	Prec@5 53.125 (56.348)
Epoch: [44][2200/7045]	Time 0.226 (0.250)	Data 0.177 (0.185)	Loss 3.3900 (3.1480)	Prec@1 18.750 (27.855)	Prec@5 51.562 (56.348)
Epoch: [44][2210/7045]	Time 0.109 (0.250)	Data 0.057 (0.185)	Loss 2.9913 (3.1477)	Prec@1 33.594 (27.858)	Prec@5 59.766 (56.357)
Epoch: [44][2220/7045]	Time 0.134 (0.250)	Data 0.083 (0.185)	Loss 3.0117 (3.1476)	Prec@1 28.906 (27.865)	Prec@5 57.031 (56.358)
Epoch: [44][2230/7045]	Time 0.132 (0.250)	Data 0.080 (0.185)	Loss 3.2034 (3.1479)	Prec@1 28.906 (27.860)	Prec@5 58.203 (56.353)
Epoch: [44][2240/7045]	Time 0.273 (0.250)	Data 0.222 (0.185)	Loss 3.2517 (3.1481)	Prec@1 25.000 (27.857)	Prec@5 55.859 (56.347)
Epoch: [44][2250/7045]	Time 0.176 (0.250)	Data 0.126 (0.185)	Loss 3.2298 (3.1484)	Prec@1 26.172 (27.852)	Prec@5 52.344 (56.338)
Epoch: [44][2260/7045]	Time 0.404 (0.250)	Data 0.354 (0.185)	Loss 3.1860 (3.1484)	Prec@1 27.734 (27.855)	Prec@5 53.906 (56.337)
Epoch: [44][2270/7045]	Time 0.278 (0.250)	Data 0.226 (0.185)	Loss 3.0447 (3.1485)	Prec@1 31.250 (27.856)	Prec@5 60.156 (56.335)
Epoch: [44][2280/7045]	Time 0.421 (0.250)	Data 0.363 (0.185)	Loss 3.2567 (3.1487)	Prec@1 30.078 (27.855)	Prec@5 53.906 (56.332)
Epoch: [44][2290/7045]	Time 0.337 (0.250)	Data 0.278 (0.185)	Loss 3.2001 (3.1488)	Prec@1 29.297 (27.853)	Prec@5 54.688 (56.329)
Epoch: [44][2300/7045]	Time 0.349 (0.250)	Data 0.299 (0.185)	Loss 3.1634 (3.1485)	Prec@1 29.688 (27.855)	Prec@5 54.688 (56.332)
Epoch: [44][2310/7045]	Time 0.348 (0.250)	Data 0.291 (0.185)	Loss 3.2152 (3.1487)	Prec@1 26.953 (27.852)	Prec@5 54.688 (56.326)
Epoch: [44][2320/7045]	Time 0.342 (0.250)	Data 0.292 (0.185)	Loss 3.3471 (3.1487)	Prec@1 27.344 (27.852)	Prec@5 53.906 (56.324)
Epoch: [44][2330/7045]	Time 0.284 (0.250)	Data 0.233 (0.185)	Loss 3.0027 (3.1487)	Prec@1 28.906 (27.850)	Prec@5 59.766 (56.319)
Epoch: [44][2340/7045]	Time 0.384 (0.250)	Data 0.332 (0.185)	Loss 3.1905 (3.1486)	Prec@1 25.781 (27.851)	Prec@5 57.422 (56.326)
Epoch: [44][2350/7045]	Time 0.260 (0.250)	Data 0.207 (0.185)	Loss 3.4355 (3.1488)	Prec@1 26.953 (27.849)	Prec@5 51.953 (56.321)
Epoch: [44][2360/7045]	Time 0.307 (0.250)	Data 0.255 (0.185)	Loss 3.0821 (3.1488)	Prec@1 30.078 (27.847)	Prec@5 57.422 (56.322)
Epoch: [44][2370/7045]	Time 0.249 (0.249)	Data 0.199 (0.185)	Loss 3.0290 (3.1486)	Prec@1 29.297 (27.851)	Prec@5 55.859 (56.328)
Epoch: [44][2380/7045]	Time 0.299 (0.249)	Data 0.249 (0.185)	Loss 3.2262 (3.1489)	Prec@1 25.781 (27.843)	Prec@5 53.516 (56.322)
Epoch: [44][2390/7045]	Time 0.259 (0.249)	Data 0.208 (0.185)	Loss 3.3435 (3.1491)	Prec@1 25.391 (27.838)	Prec@5 53.516 (56.318)
Epoch: [44][2400/7045]	Time 0.215 (0.249)	Data 0.165 (0.185)	Loss 2.9041 (3.1490)	Prec@1 30.469 (27.837)	Prec@5 61.719 (56.322)
Epoch: [44][2410/7045]	Time 0.242 (0.249)	Data 0.191 (0.185)	Loss 3.1704 (3.1492)	Prec@1 26.562 (27.835)	Prec@5 55.859 (56.322)
Epoch: [44][2420/7045]	Time 0.181 (0.249)	Data 0.131 (0.185)	Loss 3.4535 (3.1493)	Prec@1 24.609 (27.833)	Prec@5 50.781 (56.322)
Epoch: [44][2430/7045]	Time 0.326 (0.249)	Data 0.275 (0.184)	Loss 3.1865 (3.1495)	Prec@1 25.781 (27.826)	Prec@5 55.078 (56.317)
Epoch: [44][2440/7045]	Time 0.183 (0.249)	Data 0.126 (0.184)	Loss 3.0787 (3.1497)	Prec@1 31.250 (27.826)	Prec@5 57.031 (56.315)
Epoch: [44][2450/7045]	Time 0.297 (0.249)	Data 0.246 (0.184)	Loss 2.9100 (3.1497)	Prec@1 33.984 (27.825)	Prec@5 63.672 (56.313)
Epoch: [44][2460/7045]	Time 0.243 (0.249)	Data 0.192 (0.184)	Loss 3.0290 (3.1499)	Prec@1 28.906 (27.822)	Prec@5 55.078 (56.309)
Epoch: [44][2470/7045]	Time 0.242 (0.249)	Data 0.191 (0.184)	Loss 3.3702 (3.1502)	Prec@1 25.781 (27.822)	Prec@5 48.828 (56.305)
Epoch: [44][2480/7045]	Time 0.151 (0.249)	Data 0.099 (0.185)	Loss 3.0305 (3.1502)	Prec@1 28.516 (27.823)	Prec@5 60.156 (56.308)
Epoch: [44][2490/7045]	Time 0.108 (0.249)	Data 0.056 (0.184)	Loss 3.1670 (3.1503)	Prec@1 28.125 (27.819)	Prec@5 56.250 (56.306)
Epoch: [44][2500/7045]	Time 0.113 (0.249)	Data 0.061 (0.184)	Loss 3.0943 (3.1504)	Prec@1 27.734 (27.818)	Prec@5 61.328 (56.306)
Epoch: [44][2510/7045]	Time 0.102 (0.249)	Data 0.005 (0.184)	Loss 3.2646 (3.1505)	Prec@1 27.734 (27.816)	Prec@5 50.391 (56.304)
Epoch: [44][2520/7045]	Time 0.102 (0.249)	Data 0.002 (0.184)	Loss 3.0140 (3.1505)	Prec@1 28.516 (27.813)	Prec@5 57.422 (56.303)
Epoch: [44][2530/7045]	Time 0.109 (0.249)	Data 0.056 (0.184)	Loss 3.0782 (3.1505)	Prec@1 29.688 (27.814)	Prec@5 58.594 (56.306)
Epoch: [44][2540/7045]	Time 0.103 (0.249)	Data 0.001 (0.184)	Loss 3.3753 (3.1506)	Prec@1 25.781 (27.812)	Prec@5 52.734 (56.305)
Epoch: [44][2550/7045]	Time 0.101 (0.249)	Data 0.004 (0.184)	Loss 3.1998 (3.1506)	Prec@1 25.000 (27.811)	Prec@5 53.906 (56.298)
Epoch: [44][2560/7045]	Time 0.101 (0.249)	Data 0.004 (0.184)	Loss 3.0763 (3.1506)	Prec@1 23.828 (27.810)	Prec@5 55.078 (56.299)
Epoch: [44][2570/7045]	Time 0.100 (0.249)	Data 0.045 (0.184)	Loss 3.1943 (3.1504)	Prec@1 24.609 (27.811)	Prec@5 56.250 (56.303)
Epoch: [44][2580/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 3.3187 (3.1502)	Prec@1 24.609 (27.814)	Prec@5 53.125 (56.306)
Epoch: [44][2590/7045]	Time 0.102 (0.249)	Data 0.006 (0.184)	Loss 3.0299 (3.1502)	Prec@1 28.516 (27.811)	Prec@5 58.203 (56.305)
Epoch: [44][2600/7045]	Time 0.102 (0.249)	Data 0.004 (0.184)	Loss 3.1208 (3.1501)	Prec@1 26.172 (27.811)	Prec@5 56.641 (56.305)
Epoch: [44][2610/7045]	Time 0.102 (0.249)	Data 0.002 (0.184)	Loss 2.9979 (3.1500)	Prec@1 28.516 (27.814)	Prec@5 60.547 (56.306)
Epoch: [44][2620/7045]	Time 0.103 (0.248)	Data 0.002 (0.184)	Loss 3.0737 (3.1500)	Prec@1 26.172 (27.811)	Prec@5 58.594 (56.309)
Epoch: [44][2630/7045]	Time 0.101 (0.249)	Data 0.045 (0.184)	Loss 3.1628 (3.1500)	Prec@1 27.344 (27.815)	Prec@5 55.859 (56.309)
Epoch: [44][2640/7045]	Time 0.102 (0.248)	Data 0.005 (0.184)	Loss 3.1998 (3.1501)	Prec@1 27.344 (27.813)	Prec@5 54.688 (56.308)
Epoch: [44][2650/7045]	Time 0.349 (0.249)	Data 0.297 (0.184)	Loss 3.2687 (3.1504)	Prec@1 28.516 (27.814)	Prec@5 55.469 (56.307)
Epoch: [44][2660/7045]	Time 0.100 (0.248)	Data 0.001 (0.184)	Loss 3.1953 (3.1505)	Prec@1 28.125 (27.815)	Prec@5 56.641 (56.305)
Epoch: [44][2670/7045]	Time 0.358 (0.249)	Data 0.306 (0.184)	Loss 3.2606 (3.1506)	Prec@1 29.297 (27.816)	Prec@5 54.297 (56.303)
Epoch: [44][2680/7045]	Time 0.103 (0.248)	Data 0.001 (0.183)	Loss 3.0821 (3.1507)	Prec@1 25.391 (27.813)	Prec@5 55.469 (56.295)
Epoch: [44][2690/7045]	Time 0.334 (0.248)	Data 0.283 (0.184)	Loss 3.1592 (3.1506)	Prec@1 26.953 (27.815)	Prec@5 53.516 (56.295)
Epoch: [44][2700/7045]	Time 0.179 (0.248)	Data 0.129 (0.183)	Loss 2.9587 (3.1506)	Prec@1 31.641 (27.812)	Prec@5 59.766 (56.297)
Epoch: [44][2710/7045]	Time 0.299 (0.248)	Data 0.247 (0.183)	Loss 3.0121 (3.1504)	Prec@1 32.031 (27.818)	Prec@5 60.547 (56.303)
Epoch: [44][2720/7045]	Time 0.317 (0.248)	Data 0.266 (0.183)	Loss 3.2250 (3.1504)	Prec@1 28.516 (27.817)	Prec@5 55.078 (56.301)
Epoch: [44][2730/7045]	Time 0.221 (0.248)	Data 0.170 (0.183)	Loss 3.2206 (3.1503)	Prec@1 29.688 (27.815)	Prec@5 53.516 (56.300)
Epoch: [44][2740/7045]	Time 0.246 (0.248)	Data 0.195 (0.183)	Loss 3.1565 (3.1504)	Prec@1 29.688 (27.818)	Prec@5 55.078 (56.302)
Epoch: [44][2750/7045]	Time 0.108 (0.248)	Data 0.055 (0.183)	Loss 3.1162 (3.1505)	Prec@1 29.297 (27.814)	Prec@5 55.469 (56.299)
Epoch: [44][2760/7045]	Time 0.208 (0.248)	Data 0.158 (0.183)	Loss 3.1921 (3.1505)	Prec@1 24.219 (27.811)	Prec@5 55.469 (56.301)
Epoch: [44][2770/7045]	Time 0.100 (0.248)	Data 0.001 (0.183)	Loss 3.0490 (3.1505)	Prec@1 28.125 (27.813)	Prec@5 58.984 (56.304)
Epoch: [44][2780/7045]	Time 0.175 (0.248)	Data 0.123 (0.183)	Loss 3.0908 (3.1505)	Prec@1 33.203 (27.815)	Prec@5 56.250 (56.304)
Epoch: [44][2790/7045]	Time 0.100 (0.248)	Data 0.047 (0.183)	Loss 3.5033 (3.1507)	Prec@1 23.047 (27.811)	Prec@5 51.562 (56.302)
Epoch: [44][2800/7045]	Time 0.162 (0.248)	Data 0.111 (0.183)	Loss 3.0541 (3.1508)	Prec@1 28.906 (27.813)	Prec@5 57.422 (56.303)
Epoch: [44][2810/7045]	Time 0.101 (0.248)	Data 0.002 (0.183)	Loss 3.2324 (3.1509)	Prec@1 28.906 (27.814)	Prec@5 56.250 (56.303)
Epoch: [44][2820/7045]	Time 0.139 (0.248)	Data 0.088 (0.183)	Loss 3.2323 (3.1509)	Prec@1 25.000 (27.815)	Prec@5 55.469 (56.306)
Epoch: [44][2830/7045]	Time 0.107 (0.248)	Data 0.054 (0.183)	Loss 3.0277 (3.1509)	Prec@1 32.422 (27.815)	Prec@5 57.812 (56.306)
Epoch: [44][2840/7045]	Time 0.264 (0.248)	Data 0.214 (0.183)	Loss 3.2402 (3.1508)	Prec@1 21.484 (27.816)	Prec@5 57.812 (56.309)
Epoch: [44][2850/7045]	Time 0.101 (0.248)	Data 0.001 (0.183)	Loss 3.2169 (3.1506)	Prec@1 26.172 (27.817)	Prec@5 57.031 (56.312)
Epoch: [44][2860/7045]	Time 0.248 (0.248)	Data 0.196 (0.183)	Loss 3.0144 (3.1505)	Prec@1 28.906 (27.821)	Prec@5 57.812 (56.317)
Epoch: [44][2870/7045]	Time 0.102 (0.248)	Data 0.004 (0.183)	Loss 3.0733 (3.1507)	Prec@1 30.859 (27.817)	Prec@5 57.422 (56.311)
Epoch: [44][2880/7045]	Time 0.182 (0.248)	Data 0.131 (0.183)	Loss 3.0727 (3.1507)	Prec@1 31.250 (27.819)	Prec@5 58.984 (56.315)
Epoch: [44][2890/7045]	Time 0.176 (0.248)	Data 0.124 (0.183)	Loss 3.4021 (3.1507)	Prec@1 25.781 (27.816)	Prec@5 51.953 (56.312)
Epoch: [44][2900/7045]	Time 0.105 (0.248)	Data 0.053 (0.183)	Loss 3.1812 (3.1508)	Prec@1 28.906 (27.817)	Prec@5 54.297 (56.311)
Epoch: [44][2910/7045]	Time 0.111 (0.248)	Data 0.008 (0.183)	Loss 3.2504 (3.1508)	Prec@1 25.781 (27.819)	Prec@5 54.688 (56.313)
Epoch: [44][2920/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 3.0008 (3.1508)	Prec@1 29.297 (27.819)	Prec@5 61.719 (56.311)
Epoch: [44][2930/7045]	Time 0.123 (0.248)	Data 0.071 (0.183)	Loss 2.9966 (3.1507)	Prec@1 32.812 (27.821)	Prec@5 58.594 (56.314)
Epoch: [44][2940/7045]	Time 0.140 (0.248)	Data 0.088 (0.183)	Loss 3.0494 (3.1507)	Prec@1 32.812 (27.821)	Prec@5 56.250 (56.312)
Epoch: [44][2950/7045]	Time 0.115 (0.248)	Data 0.056 (0.183)	Loss 3.1504 (3.1508)	Prec@1 27.734 (27.817)	Prec@5 56.250 (56.310)
Epoch: [44][2960/7045]	Time 0.235 (0.248)	Data 0.183 (0.183)	Loss 3.0669 (3.1505)	Prec@1 31.250 (27.823)	Prec@5 54.688 (56.313)
Epoch: [44][2970/7045]	Time 0.240 (0.248)	Data 0.188 (0.183)	Loss 3.0795 (3.1504)	Prec@1 29.688 (27.826)	Prec@5 58.203 (56.315)
Epoch: [44][2980/7045]	Time 0.423 (0.248)	Data 0.372 (0.183)	Loss 3.2043 (3.1505)	Prec@1 26.953 (27.825)	Prec@5 56.641 (56.313)
Epoch: [44][2990/7045]	Time 0.191 (0.248)	Data 0.139 (0.183)	Loss 3.1642 (3.1505)	Prec@1 29.297 (27.824)	Prec@5 54.688 (56.315)
Epoch: [44][3000/7045]	Time 0.588 (0.248)	Data 0.537 (0.183)	Loss 2.9403 (3.1507)	Prec@1 30.078 (27.822)	Prec@5 61.328 (56.312)
Epoch: [44][3010/7045]	Time 0.184 (0.248)	Data 0.132 (0.183)	Loss 3.1964 (3.1505)	Prec@1 26.953 (27.821)	Prec@5 53.516 (56.313)
Epoch: [44][3020/7045]	Time 0.564 (0.248)	Data 0.511 (0.183)	Loss 3.0538 (3.1508)	Prec@1 27.734 (27.815)	Prec@5 58.203 (56.308)
Epoch: [44][3030/7045]	Time 0.199 (0.248)	Data 0.147 (0.183)	Loss 3.2706 (3.1507)	Prec@1 29.297 (27.816)	Prec@5 55.859 (56.311)
Epoch: [44][3040/7045]	Time 0.101 (0.248)	Data 0.006 (0.183)	Loss 3.1156 (3.1506)	Prec@1 28.125 (27.815)	Prec@5 57.031 (56.315)
Epoch: [44][3050/7045]	Time 0.137 (0.248)	Data 0.086 (0.183)	Loss 3.2595 (3.1505)	Prec@1 28.125 (27.816)	Prec@5 57.031 (56.317)
Epoch: [44][3060/7045]	Time 0.321 (0.248)	Data 0.263 (0.183)	Loss 3.0960 (3.1504)	Prec@1 29.688 (27.821)	Prec@5 55.859 (56.318)
Epoch: [44][3070/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 3.3892 (3.1505)	Prec@1 28.516 (27.822)	Prec@5 53.906 (56.315)
Epoch: [44][3080/7045]	Time 0.453 (0.248)	Data 0.401 (0.183)	Loss 3.1255 (3.1505)	Prec@1 30.078 (27.820)	Prec@5 57.031 (56.313)
Epoch: [44][3090/7045]	Time 0.140 (0.248)	Data 0.088 (0.183)	Loss 3.1865 (3.1507)	Prec@1 27.344 (27.819)	Prec@5 54.688 (56.310)
Epoch: [44][3100/7045]	Time 0.476 (0.248)	Data 0.423 (0.183)	Loss 3.1903 (3.1509)	Prec@1 21.094 (27.809)	Prec@5 53.906 (56.303)
Epoch: [44][3110/7045]	Time 0.438 (0.248)	Data 0.380 (0.183)	Loss 3.2415 (3.1509)	Prec@1 25.781 (27.807)	Prec@5 53.906 (56.305)
Epoch: [44][3120/7045]	Time 0.268 (0.248)	Data 0.217 (0.183)	Loss 3.1135 (3.1510)	Prec@1 26.562 (27.805)	Prec@5 55.469 (56.300)
Epoch: [44][3130/7045]	Time 0.343 (0.248)	Data 0.292 (0.183)	Loss 3.1636 (3.1510)	Prec@1 30.469 (27.808)	Prec@5 52.734 (56.301)
Epoch: [44][3140/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 3.1166 (3.1510)	Prec@1 27.344 (27.805)	Prec@5 55.469 (56.302)
Epoch: [44][3150/7045]	Time 0.205 (0.248)	Data 0.154 (0.183)	Loss 3.0740 (3.1511)	Prec@1 30.078 (27.800)	Prec@5 57.812 (56.299)
Epoch: [44][3160/7045]	Time 0.121 (0.248)	Data 0.070 (0.183)	Loss 2.9458 (3.1510)	Prec@1 26.172 (27.800)	Prec@5 61.719 (56.305)
Epoch: [44][3170/7045]	Time 0.098 (0.248)	Data 0.047 (0.183)	Loss 3.1965 (3.1511)	Prec@1 28.906 (27.799)	Prec@5 55.078 (56.302)
Epoch: [44][3180/7045]	Time 0.101 (0.248)	Data 0.048 (0.183)	Loss 3.3761 (3.1511)	Prec@1 23.047 (27.797)	Prec@5 51.172 (56.299)
Epoch: [44][3190/7045]	Time 0.101 (0.248)	Data 0.047 (0.183)	Loss 3.2683 (3.1512)	Prec@1 25.781 (27.793)	Prec@5 52.344 (56.295)
Epoch: [44][3200/7045]	Time 0.128 (0.248)	Data 0.077 (0.183)	Loss 3.2181 (3.1511)	Prec@1 28.125 (27.795)	Prec@5 53.906 (56.296)
Epoch: [44][3210/7045]	Time 0.105 (0.248)	Data 0.052 (0.183)	Loss 3.0953 (3.1512)	Prec@1 31.250 (27.792)	Prec@5 57.812 (56.293)
Epoch: [44][3220/7045]	Time 0.178 (0.248)	Data 0.127 (0.183)	Loss 3.3002 (3.1513)	Prec@1 28.125 (27.793)	Prec@5 53.516 (56.288)
Epoch: [44][3230/7045]	Time 0.101 (0.248)	Data 0.046 (0.183)	Loss 3.2211 (3.1512)	Prec@1 24.609 (27.793)	Prec@5 52.344 (56.289)
Epoch: [44][3240/7045]	Time 0.223 (0.248)	Data 0.172 (0.183)	Loss 3.0116 (3.1510)	Prec@1 29.688 (27.796)	Prec@5 62.109 (56.292)
Epoch: [44][3250/7045]	Time 0.402 (0.248)	Data 0.350 (0.183)	Loss 3.0816 (3.1509)	Prec@1 28.516 (27.799)	Prec@5 56.641 (56.294)
Epoch: [44][3260/7045]	Time 0.102 (0.248)	Data 0.044 (0.183)	Loss 3.1876 (3.1512)	Prec@1 27.734 (27.797)	Prec@5 51.953 (56.288)
Epoch: [44][3270/7045]	Time 0.594 (0.248)	Data 0.543 (0.183)	Loss 3.0365 (3.1512)	Prec@1 32.422 (27.800)	Prec@5 58.984 (56.288)
Epoch: [44][3280/7045]	Time 0.108 (0.248)	Data 0.051 (0.183)	Loss 3.2644 (3.1511)	Prec@1 27.344 (27.802)	Prec@5 51.953 (56.289)
Epoch: [44][3290/7045]	Time 0.495 (0.248)	Data 0.443 (0.183)	Loss 3.3364 (3.1513)	Prec@1 27.734 (27.799)	Prec@5 51.562 (56.284)
Epoch: [44][3300/7045]	Time 0.189 (0.248)	Data 0.137 (0.183)	Loss 3.1342 (3.1514)	Prec@1 26.953 (27.802)	Prec@5 53.516 (56.281)
Epoch: [44][3310/7045]	Time 0.574 (0.248)	Data 0.521 (0.183)	Loss 3.1567 (3.1513)	Prec@1 27.344 (27.800)	Prec@5 53.125 (56.279)
Epoch: [44][3320/7045]	Time 0.106 (0.248)	Data 0.054 (0.183)	Loss 3.1483 (3.1514)	Prec@1 29.297 (27.799)	Prec@5 55.859 (56.278)
Epoch: [44][3330/7045]	Time 0.555 (0.248)	Data 0.497 (0.183)	Loss 3.2373 (3.1515)	Prec@1 22.656 (27.799)	Prec@5 55.078 (56.276)
Epoch: [44][3340/7045]	Time 0.199 (0.248)	Data 0.148 (0.183)	Loss 3.1428 (3.1515)	Prec@1 31.250 (27.801)	Prec@5 57.422 (56.275)
Epoch: [44][3350/7045]	Time 0.454 (0.248)	Data 0.402 (0.183)	Loss 2.8800 (3.1512)	Prec@1 29.688 (27.805)	Prec@5 64.844 (56.283)
Epoch: [44][3360/7045]	Time 0.502 (0.248)	Data 0.450 (0.183)	Loss 3.0092 (3.1511)	Prec@1 30.078 (27.805)	Prec@5 59.375 (56.284)
Epoch: [44][3370/7045]	Time 0.101 (0.248)	Data 0.001 (0.183)	Loss 3.3458 (3.1511)	Prec@1 25.391 (27.807)	Prec@5 54.297 (56.284)
Epoch: [44][3380/7045]	Time 0.715 (0.248)	Data 0.664 (0.183)	Loss 3.2728 (3.1512)	Prec@1 28.516 (27.805)	Prec@5 54.297 (56.279)
Epoch: [44][3390/7045]	Time 0.102 (0.248)	Data 0.011 (0.183)	Loss 3.2344 (3.1511)	Prec@1 25.391 (27.805)	Prec@5 55.469 (56.281)
Epoch: [44][3400/7045]	Time 0.461 (0.248)	Data 0.402 (0.183)	Loss 3.2896 (3.1512)	Prec@1 25.000 (27.805)	Prec@5 51.953 (56.282)
Epoch: [44][3410/7045]	Time 0.102 (0.248)	Data 0.049 (0.183)	Loss 3.1593 (3.1513)	Prec@1 30.469 (27.803)	Prec@5 57.422 (56.279)
Epoch: [44][3420/7045]	Time 0.220 (0.248)	Data 0.163 (0.183)	Loss 3.2553 (3.1513)	Prec@1 25.000 (27.803)	Prec@5 53.125 (56.280)
Epoch: [44][3430/7045]	Time 0.101 (0.247)	Data 0.001 (0.183)	Loss 3.0180 (3.1514)	Prec@1 30.469 (27.802)	Prec@5 55.469 (56.281)
Epoch: [44][3440/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 3.0013 (3.1513)	Prec@1 30.078 (27.802)	Prec@5 59.375 (56.278)
Epoch: [44][3450/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 3.2081 (3.1513)	Prec@1 25.391 (27.804)	Prec@5 54.297 (56.281)
Epoch: [44][3460/7045]	Time 0.221 (0.248)	Data 0.169 (0.183)	Loss 3.2407 (3.1514)	Prec@1 26.172 (27.802)	Prec@5 55.469 (56.281)
Epoch: [44][3470/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 3.2323 (3.1514)	Prec@1 26.562 (27.805)	Prec@5 57.812 (56.282)
Epoch: [44][3480/7045]	Time 0.166 (0.248)	Data 0.109 (0.183)	Loss 3.2651 (3.1514)	Prec@1 23.438 (27.804)	Prec@5 53.125 (56.282)
Epoch: [44][3490/7045]	Time 0.102 (0.247)	Data 0.050 (0.183)	Loss 3.1019 (3.1514)	Prec@1 29.297 (27.805)	Prec@5 57.812 (56.284)
Epoch: [44][3500/7045]	Time 0.193 (0.247)	Data 0.133 (0.183)	Loss 3.2839 (3.1515)	Prec@1 23.438 (27.802)	Prec@5 53.906 (56.279)
Epoch: [44][3510/7045]	Time 0.275 (0.247)	Data 0.224 (0.183)	Loss 3.2890 (3.1514)	Prec@1 25.000 (27.802)	Prec@5 54.297 (56.282)
Epoch: [44][3520/7045]	Time 0.206 (0.247)	Data 0.150 (0.183)	Loss 3.2788 (3.1515)	Prec@1 24.609 (27.801)	Prec@5 55.859 (56.279)
Epoch: [44][3530/7045]	Time 0.508 (0.247)	Data 0.456 (0.183)	Loss 3.1347 (3.1515)	Prec@1 31.250 (27.806)	Prec@5 55.078 (56.278)
Epoch: [44][3540/7045]	Time 0.140 (0.247)	Data 0.088 (0.183)	Loss 3.2586 (3.1513)	Prec@1 26.562 (27.808)	Prec@5 57.031 (56.284)
Epoch: [44][3550/7045]	Time 0.468 (0.247)	Data 0.417 (0.183)	Loss 3.0827 (3.1514)	Prec@1 28.516 (27.805)	Prec@5 57.812 (56.282)
Epoch: [44][3560/7045]	Time 0.266 (0.247)	Data 0.214 (0.183)	Loss 3.2223 (3.1515)	Prec@1 30.469 (27.806)	Prec@5 54.688 (56.277)
Epoch: [44][3570/7045]	Time 0.304 (0.247)	Data 0.251 (0.183)	Loss 3.0750 (3.1514)	Prec@1 26.953 (27.809)	Prec@5 57.812 (56.282)
Epoch: [44][3580/7045]	Time 0.258 (0.247)	Data 0.207 (0.183)	Loss 2.8364 (3.1513)	Prec@1 33.594 (27.813)	Prec@5 60.547 (56.282)
Epoch: [44][3590/7045]	Time 0.237 (0.247)	Data 0.185 (0.183)	Loss 3.1688 (3.1510)	Prec@1 33.594 (27.817)	Prec@5 56.250 (56.285)
Epoch: [44][3600/7045]	Time 0.174 (0.247)	Data 0.122 (0.183)	Loss 2.9795 (3.1510)	Prec@1 31.250 (27.816)	Prec@5 59.375 (56.288)
Epoch: [44][3610/7045]	Time 0.265 (0.247)	Data 0.214 (0.183)	Loss 3.3355 (3.1511)	Prec@1 26.953 (27.817)	Prec@5 51.562 (56.287)
Epoch: [44][3620/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 2.9892 (3.1510)	Prec@1 28.125 (27.820)	Prec@5 59.766 (56.288)
Epoch: [44][3630/7045]	Time 0.196 (0.247)	Data 0.145 (0.183)	Loss 3.0490 (3.1510)	Prec@1 28.906 (27.820)	Prec@5 57.812 (56.286)
Epoch: [44][3640/7045]	Time 0.102 (0.247)	Data 0.046 (0.183)	Loss 3.3074 (3.1511)	Prec@1 23.047 (27.818)	Prec@5 53.516 (56.282)
Epoch: [44][3650/7045]	Time 0.105 (0.247)	Data 0.052 (0.183)	Loss 2.9609 (3.1510)	Prec@1 30.859 (27.819)	Prec@5 60.547 (56.282)
Epoch: [44][3660/7045]	Time 0.174 (0.247)	Data 0.122 (0.183)	Loss 3.2188 (3.1513)	Prec@1 28.516 (27.814)	Prec@5 53.906 (56.280)
Epoch: [44][3670/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 3.1280 (3.1514)	Prec@1 25.781 (27.811)	Prec@5 60.938 (56.282)
Epoch: [44][3680/7045]	Time 0.193 (0.247)	Data 0.143 (0.183)	Loss 2.9900 (3.1513)	Prec@1 35.547 (27.814)	Prec@5 60.156 (56.286)
Epoch: [44][3690/7045]	Time 0.137 (0.247)	Data 0.083 (0.183)	Loss 3.1239 (3.1514)	Prec@1 32.031 (27.813)	Prec@5 55.469 (56.279)
Epoch: [44][3700/7045]	Time 0.340 (0.247)	Data 0.288 (0.183)	Loss 3.2751 (3.1516)	Prec@1 28.906 (27.811)	Prec@5 51.562 (56.274)
Epoch: [44][3710/7045]	Time 0.190 (0.247)	Data 0.138 (0.183)	Loss 3.1673 (3.1516)	Prec@1 25.781 (27.810)	Prec@5 57.031 (56.273)
Epoch: [44][3720/7045]	Time 0.685 (0.247)	Data 0.627 (0.183)	Loss 3.3927 (3.1516)	Prec@1 22.266 (27.807)	Prec@5 51.172 (56.272)
Epoch: [44][3730/7045]	Time 0.102 (0.247)	Data 0.048 (0.183)	Loss 3.2097 (3.1516)	Prec@1 25.391 (27.806)	Prec@5 56.641 (56.273)
Epoch: [44][3740/7045]	Time 0.618 (0.247)	Data 0.563 (0.183)	Loss 3.2109 (3.1516)	Prec@1 23.047 (27.805)	Prec@5 53.125 (56.271)
Epoch: [44][3750/7045]	Time 0.135 (0.247)	Data 0.084 (0.183)	Loss 3.0838 (3.1515)	Prec@1 30.469 (27.807)	Prec@5 58.594 (56.271)
Epoch: [44][3760/7045]	Time 0.419 (0.247)	Data 0.368 (0.183)	Loss 3.0887 (3.1514)	Prec@1 26.562 (27.805)	Prec@5 58.984 (56.273)
Epoch: [44][3770/7045]	Time 0.101 (0.247)	Data 0.048 (0.183)	Loss 3.3854 (3.1516)	Prec@1 24.609 (27.799)	Prec@5 50.781 (56.266)
Epoch: [44][3780/7045]	Time 0.285 (0.247)	Data 0.234 (0.183)	Loss 3.0075 (3.1515)	Prec@1 29.297 (27.799)	Prec@5 62.109 (56.268)
Epoch: [44][3790/7045]	Time 0.170 (0.247)	Data 0.119 (0.183)	Loss 3.1429 (3.1516)	Prec@1 26.172 (27.796)	Prec@5 53.516 (56.265)
Epoch: [44][3800/7045]	Time 0.206 (0.247)	Data 0.154 (0.183)	Loss 3.1419 (3.1516)	Prec@1 26.562 (27.800)	Prec@5 52.734 (56.264)
Epoch: [44][3810/7045]	Time 0.247 (0.247)	Data 0.196 (0.183)	Loss 3.0282 (3.1515)	Prec@1 32.422 (27.801)	Prec@5 58.203 (56.266)
Epoch: [44][3820/7045]	Time 0.156 (0.247)	Data 0.105 (0.183)	Loss 3.1817 (3.1517)	Prec@1 31.250 (27.799)	Prec@5 57.812 (56.262)
Epoch: [44][3830/7045]	Time 0.361 (0.247)	Data 0.309 (0.183)	Loss 3.1659 (3.1516)	Prec@1 28.125 (27.800)	Prec@5 55.078 (56.264)
Epoch: [44][3840/7045]	Time 0.162 (0.247)	Data 0.111 (0.183)	Loss 3.0790 (3.1515)	Prec@1 30.078 (27.801)	Prec@5 56.250 (56.264)
Epoch: [44][3850/7045]	Time 0.180 (0.247)	Data 0.128 (0.183)	Loss 3.3284 (3.1515)	Prec@1 25.781 (27.803)	Prec@5 51.172 (56.263)
Epoch: [44][3860/7045]	Time 0.106 (0.247)	Data 0.055 (0.183)	Loss 3.0993 (3.1515)	Prec@1 31.250 (27.802)	Prec@5 60.938 (56.262)
Epoch: [44][3870/7045]	Time 0.135 (0.247)	Data 0.084 (0.183)	Loss 3.0521 (3.1516)	Prec@1 31.641 (27.800)	Prec@5 58.984 (56.262)
Epoch: [44][3880/7045]	Time 0.103 (0.247)	Data 0.003 (0.183)	Loss 2.9810 (3.1515)	Prec@1 29.688 (27.801)	Prec@5 59.375 (56.262)
Epoch: [44][3890/7045]	Time 0.426 (0.247)	Data 0.374 (0.183)	Loss 3.3441 (3.1517)	Prec@1 27.344 (27.800)	Prec@5 54.688 (56.262)
Epoch: [44][3900/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 3.2587 (3.1517)	Prec@1 27.344 (27.799)	Prec@5 52.734 (56.258)
Epoch: [44][3910/7045]	Time 0.494 (0.247)	Data 0.443 (0.183)	Loss 3.2951 (3.1520)	Prec@1 24.219 (27.794)	Prec@5 52.734 (56.251)
Epoch: [44][3920/7045]	Time 0.112 (0.247)	Data 0.060 (0.183)	Loss 3.2538 (3.1521)	Prec@1 26.953 (27.792)	Prec@5 52.734 (56.250)
Epoch: [44][3930/7045]	Time 0.456 (0.247)	Data 0.403 (0.183)	Loss 3.2377 (3.1520)	Prec@1 27.344 (27.791)	Prec@5 55.469 (56.253)
Epoch: [44][3940/7045]	Time 0.101 (0.247)	Data 0.003 (0.183)	Loss 3.0588 (3.1518)	Prec@1 28.906 (27.794)	Prec@5 55.469 (56.256)
Epoch: [44][3950/7045]	Time 0.332 (0.247)	Data 0.281 (0.183)	Loss 3.0006 (3.1519)	Prec@1 31.641 (27.795)	Prec@5 57.812 (56.255)
Epoch: [44][3960/7045]	Time 0.231 (0.247)	Data 0.180 (0.183)	Loss 2.9349 (3.1518)	Prec@1 30.078 (27.795)	Prec@5 59.766 (56.260)
Epoch: [44][3970/7045]	Time 0.288 (0.247)	Data 0.236 (0.183)	Loss 3.2269 (3.1518)	Prec@1 27.344 (27.796)	Prec@5 51.953 (56.261)
Epoch: [44][3980/7045]	Time 0.291 (0.247)	Data 0.241 (0.183)	Loss 2.9574 (3.1517)	Prec@1 32.812 (27.797)	Prec@5 60.547 (56.258)
Epoch: [44][3990/7045]	Time 0.172 (0.247)	Data 0.121 (0.183)	Loss 3.3327 (3.1518)	Prec@1 25.391 (27.798)	Prec@5 53.906 (56.258)
Epoch: [44][4000/7045]	Time 0.236 (0.247)	Data 0.184 (0.183)	Loss 3.3474 (3.1518)	Prec@1 23.047 (27.795)	Prec@5 51.172 (56.254)
Epoch: [44][4010/7045]	Time 0.115 (0.247)	Data 0.064 (0.183)	Loss 3.1417 (3.1519)	Prec@1 27.734 (27.793)	Prec@5 53.906 (56.252)
Epoch: [44][4020/7045]	Time 0.177 (0.247)	Data 0.124 (0.183)	Loss 3.1186 (3.1520)	Prec@1 26.172 (27.789)	Prec@5 57.422 (56.247)
Epoch: [44][4030/7045]	Time 0.495 (0.247)	Data 0.437 (0.183)	Loss 3.1185 (3.1522)	Prec@1 30.859 (27.788)	Prec@5 57.422 (56.246)
Epoch: [44][4040/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 3.1860 (3.1522)	Prec@1 24.219 (27.787)	Prec@5 55.859 (56.247)
Epoch: [44][4050/7045]	Time 0.465 (0.247)	Data 0.406 (0.183)	Loss 3.3251 (3.1522)	Prec@1 25.000 (27.787)	Prec@5 52.734 (56.243)
Epoch: [44][4060/7045]	Time 0.121 (0.247)	Data 0.069 (0.183)	Loss 3.2946 (3.1522)	Prec@1 26.172 (27.787)	Prec@5 54.688 (56.246)
Epoch: [44][4070/7045]	Time 0.427 (0.247)	Data 0.377 (0.183)	Loss 3.0993 (3.1521)	Prec@1 28.906 (27.789)	Prec@5 56.250 (56.245)
Epoch: [44][4080/7045]	Time 0.101 (0.247)	Data 0.001 (0.183)	Loss 3.2036 (3.1521)	Prec@1 25.391 (27.790)	Prec@5 55.859 (56.248)
Epoch: [44][4090/7045]	Time 0.335 (0.247)	Data 0.284 (0.183)	Loss 3.3733 (3.1523)	Prec@1 23.438 (27.784)	Prec@5 51.953 (56.242)
Epoch: [44][4100/7045]	Time 0.163 (0.247)	Data 0.113 (0.183)	Loss 3.0685 (3.1523)	Prec@1 29.688 (27.785)	Prec@5 57.812 (56.241)
Epoch: [44][4110/7045]	Time 0.132 (0.247)	Data 0.081 (0.183)	Loss 3.1250 (3.1522)	Prec@1 29.688 (27.787)	Prec@5 55.469 (56.240)
Epoch: [44][4120/7045]	Time 0.264 (0.247)	Data 0.213 (0.183)	Loss 3.2925 (3.1521)	Prec@1 26.953 (27.788)	Prec@5 52.734 (56.244)
Epoch: [44][4130/7045]	Time 0.139 (0.247)	Data 0.089 (0.183)	Loss 3.0920 (3.1521)	Prec@1 27.344 (27.791)	Prec@5 58.203 (56.248)
Epoch: [44][4140/7045]	Time 0.102 (0.247)	Data 0.049 (0.183)	Loss 2.8963 (3.1520)	Prec@1 31.250 (27.790)	Prec@5 62.500 (56.250)
Epoch: [44][4150/7045]	Time 0.108 (0.247)	Data 0.001 (0.183)	Loss 3.1758 (3.1520)	Prec@1 29.688 (27.791)	Prec@5 57.812 (56.253)
Epoch: [44][4160/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 3.2043 (3.1520)	Prec@1 26.953 (27.792)	Prec@5 53.125 (56.254)
Epoch: [44][4170/7045]	Time 0.109 (0.247)	Data 0.056 (0.183)	Loss 3.0350 (3.1519)	Prec@1 26.953 (27.791)	Prec@5 58.594 (56.256)
Epoch: [44][4180/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 2.9692 (3.1518)	Prec@1 31.250 (27.792)	Prec@5 56.250 (56.257)
Epoch: [44][4190/7045]	Time 0.285 (0.247)	Data 0.233 (0.183)	Loss 3.3815 (3.1518)	Prec@1 27.734 (27.793)	Prec@5 51.172 (56.258)
Epoch: [44][4200/7045]	Time 0.102 (0.247)	Data 0.002 (0.183)	Loss 3.3165 (3.1521)	Prec@1 25.000 (27.788)	Prec@5 51.172 (56.251)
Epoch: [44][4210/7045]	Time 0.288 (0.247)	Data 0.237 (0.183)	Loss 3.2853 (3.1520)	Prec@1 27.344 (27.790)	Prec@5 54.297 (56.253)
Epoch: [44][4220/7045]	Time 0.101 (0.247)	Data 0.048 (0.183)	Loss 3.0041 (3.1520)	Prec@1 29.297 (27.790)	Prec@5 57.812 (56.252)
Epoch: [44][4230/7045]	Time 0.425 (0.247)	Data 0.374 (0.183)	Loss 3.0984 (3.1519)	Prec@1 27.734 (27.789)	Prec@5 58.984 (56.253)
Epoch: [44][4240/7045]	Time 0.103 (0.247)	Data 0.001 (0.183)	Loss 3.1563 (3.1519)	Prec@1 29.297 (27.788)	Prec@5 55.859 (56.252)
Epoch: [44][4250/7045]	Time 0.441 (0.247)	Data 0.390 (0.183)	Loss 3.2947 (3.1520)	Prec@1 24.219 (27.789)	Prec@5 56.250 (56.251)
Epoch: [44][4260/7045]	Time 0.179 (0.247)	Data 0.128 (0.183)	Loss 3.0634 (3.1519)	Prec@1 30.078 (27.793)	Prec@5 57.812 (56.253)
Epoch: [44][4270/7045]	Time 0.454 (0.247)	Data 0.403 (0.183)	Loss 3.1032 (3.1520)	Prec@1 24.219 (27.791)	Prec@5 60.938 (56.250)
Epoch: [44][4280/7045]	Time 0.310 (0.247)	Data 0.257 (0.183)	Loss 2.8845 (3.1519)	Prec@1 31.641 (27.791)	Prec@5 59.766 (56.253)
Epoch: [44][4290/7045]	Time 0.271 (0.247)	Data 0.220 (0.183)	Loss 3.0933 (3.1520)	Prec@1 28.516 (27.793)	Prec@5 56.641 (56.252)
Epoch: [44][4300/7045]	Time 0.472 (0.247)	Data 0.414 (0.183)	Loss 3.2336 (3.1522)	Prec@1 28.906 (27.790)	Prec@5 56.250 (56.248)
Epoch: [44][4310/7045]	Time 0.108 (0.247)	Data 0.049 (0.183)	Loss 3.1718 (3.1521)	Prec@1 27.734 (27.789)	Prec@5 53.516 (56.247)
Epoch: [44][4320/7045]	Time 0.548 (0.247)	Data 0.495 (0.183)	Loss 3.1102 (3.1521)	Prec@1 29.297 (27.786)	Prec@5 54.688 (56.246)
Epoch: [44][4330/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 3.0331 (3.1520)	Prec@1 28.906 (27.787)	Prec@5 58.594 (56.253)
Epoch: [44][4340/7045]	Time 0.441 (0.247)	Data 0.389 (0.183)	Loss 3.2070 (3.1518)	Prec@1 32.031 (27.790)	Prec@5 57.812 (56.256)
Epoch: [44][4350/7045]	Time 0.272 (0.247)	Data 0.221 (0.183)	Loss 3.3751 (3.1518)	Prec@1 21.484 (27.788)	Prec@5 54.297 (56.258)
Epoch: [44][4360/7045]	Time 0.135 (0.247)	Data 0.084 (0.183)	Loss 3.2126 (3.1519)	Prec@1 30.469 (27.787)	Prec@5 54.688 (56.256)
Epoch: [44][4370/7045]	Time 0.178 (0.247)	Data 0.126 (0.183)	Loss 3.1969 (3.1520)	Prec@1 28.906 (27.787)	Prec@5 53.516 (56.257)
Epoch: [44][4380/7045]	Time 0.110 (0.247)	Data 0.056 (0.183)	Loss 3.3311 (3.1520)	Prec@1 23.828 (27.787)	Prec@5 51.562 (56.256)
Epoch: [44][4390/7045]	Time 0.148 (0.247)	Data 0.097 (0.183)	Loss 3.0951 (3.1521)	Prec@1 33.594 (27.789)	Prec@5 54.297 (56.253)
Epoch: [44][4400/7045]	Time 0.217 (0.247)	Data 0.160 (0.183)	Loss 3.1541 (3.1521)	Prec@1 24.609 (27.787)	Prec@5 61.719 (56.253)
Epoch: [44][4410/7045]	Time 0.103 (0.247)	Data 0.001 (0.183)	Loss 3.1766 (3.1521)	Prec@1 30.859 (27.785)	Prec@5 55.469 (56.252)
Epoch: [44][4420/7045]	Time 0.276 (0.247)	Data 0.226 (0.183)	Loss 3.0840 (3.1521)	Prec@1 28.516 (27.787)	Prec@5 56.641 (56.253)
Epoch: [44][4430/7045]	Time 0.229 (0.247)	Data 0.177 (0.183)	Loss 3.1598 (3.1521)	Prec@1 24.609 (27.785)	Prec@5 55.469 (56.253)
Epoch: [44][4440/7045]	Time 0.157 (0.247)	Data 0.107 (0.183)	Loss 3.3325 (3.1523)	Prec@1 28.125 (27.784)	Prec@5 52.344 (56.250)
Epoch: [44][4450/7045]	Time 0.220 (0.247)	Data 0.167 (0.183)	Loss 3.0642 (3.1523)	Prec@1 30.078 (27.784)	Prec@5 58.984 (56.251)
Epoch: [44][4460/7045]	Time 0.101 (0.247)	Data 0.001 (0.183)	Loss 3.1699 (3.1523)	Prec@1 33.203 (27.789)	Prec@5 56.250 (56.252)
Epoch: [44][4470/7045]	Time 0.102 (0.247)	Data 0.006 (0.183)	Loss 3.2709 (3.1521)	Prec@1 25.781 (27.791)	Prec@5 54.297 (56.255)
Epoch: [44][4480/7045]	Time 0.236 (0.247)	Data 0.184 (0.183)	Loss 3.1333 (3.1521)	Prec@1 25.000 (27.789)	Prec@5 55.469 (56.253)
Epoch: [44][4490/7045]	Time 0.154 (0.247)	Data 0.103 (0.183)	Loss 3.1665 (3.1522)	Prec@1 28.125 (27.788)	Prec@5 57.031 (56.253)
Epoch: [44][4500/7045]	Time 0.147 (0.247)	Data 0.096 (0.183)	Loss 3.2913 (3.1523)	Prec@1 29.688 (27.789)	Prec@5 54.688 (56.252)
Epoch: [44][4510/7045]	Time 0.101 (0.247)	Data 0.047 (0.183)	Loss 3.0929 (3.1521)	Prec@1 26.953 (27.788)	Prec@5 56.641 (56.252)
Epoch: [44][4520/7045]	Time 0.274 (0.247)	Data 0.223 (0.183)	Loss 3.0330 (3.1520)	Prec@1 30.469 (27.792)	Prec@5 59.766 (56.254)
Epoch: [44][4530/7045]	Time 0.211 (0.247)	Data 0.159 (0.183)	Loss 3.1823 (3.1521)	Prec@1 27.344 (27.788)	Prec@5 56.641 (56.250)
Epoch: [44][4540/7045]	Time 0.323 (0.247)	Data 0.270 (0.183)	Loss 3.1173 (3.1522)	Prec@1 30.078 (27.789)	Prec@5 53.516 (56.249)
Epoch: [44][4550/7045]	Time 0.240 (0.247)	Data 0.188 (0.183)	Loss 3.1168 (3.1522)	Prec@1 25.781 (27.788)	Prec@5 56.641 (56.248)
Epoch: [44][4560/7045]	Time 0.114 (0.247)	Data 0.061 (0.183)	Loss 3.1113 (3.1523)	Prec@1 28.516 (27.789)	Prec@5 59.375 (56.249)
Epoch: [44][4570/7045]	Time 0.604 (0.247)	Data 0.554 (0.183)	Loss 3.0590 (3.1523)	Prec@1 30.078 (27.788)	Prec@5 55.859 (56.249)
Epoch: [44][4580/7045]	Time 0.099 (0.247)	Data 0.048 (0.183)	Loss 3.1122 (3.1523)	Prec@1 30.469 (27.790)	Prec@5 52.734 (56.249)
Epoch: [44][4590/7045]	Time 0.659 (0.247)	Data 0.602 (0.183)	Loss 3.3276 (3.1523)	Prec@1 26.953 (27.790)	Prec@5 51.562 (56.250)
Epoch: [44][4600/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 2.9776 (3.1524)	Prec@1 29.688 (27.786)	Prec@5 60.156 (56.247)
Epoch: [44][4610/7045]	Time 0.666 (0.247)	Data 0.609 (0.183)	Loss 3.0757 (3.1523)	Prec@1 30.469 (27.789)	Prec@5 57.422 (56.249)
Epoch: [44][4620/7045]	Time 0.098 (0.247)	Data 0.001 (0.183)	Loss 3.1488 (3.1524)	Prec@1 28.516 (27.785)	Prec@5 54.688 (56.246)
Epoch: [44][4630/7045]	Time 0.671 (0.247)	Data 0.619 (0.183)	Loss 3.3031 (3.1525)	Prec@1 26.172 (27.785)	Prec@5 52.734 (56.247)
Epoch: [44][4640/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 3.1934 (3.1525)	Prec@1 26.172 (27.785)	Prec@5 56.250 (56.244)
Epoch: [44][4650/7045]	Time 0.535 (0.247)	Data 0.485 (0.183)	Loss 3.1682 (3.1524)	Prec@1 26.172 (27.785)	Prec@5 57.031 (56.245)
Epoch: [44][4660/7045]	Time 0.218 (0.247)	Data 0.160 (0.183)	Loss 2.9342 (3.1524)	Prec@1 34.375 (27.785)	Prec@5 62.500 (56.249)
Epoch: [44][4670/7045]	Time 0.388 (0.247)	Data 0.337 (0.183)	Loss 3.1860 (3.1524)	Prec@1 26.172 (27.786)	Prec@5 53.906 (56.248)
Epoch: [44][4680/7045]	Time 0.108 (0.247)	Data 0.002 (0.183)	Loss 3.1554 (3.1523)	Prec@1 29.297 (27.785)	Prec@5 59.375 (56.247)
Epoch: [44][4690/7045]	Time 0.206 (0.247)	Data 0.154 (0.183)	Loss 3.3831 (3.1524)	Prec@1 24.609 (27.783)	Prec@5 49.609 (56.244)
Epoch: [44][4700/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 3.4003 (3.1525)	Prec@1 22.266 (27.780)	Prec@5 52.734 (56.242)
Epoch: [44][4710/7045]	Time 0.167 (0.246)	Data 0.115 (0.183)	Loss 2.9803 (3.1523)	Prec@1 32.031 (27.783)	Prec@5 57.422 (56.247)
Epoch: [44][4720/7045]	Time 0.263 (0.247)	Data 0.212 (0.183)	Loss 3.1294 (3.1523)	Prec@1 28.516 (27.782)	Prec@5 55.469 (56.246)
Epoch: [44][4730/7045]	Time 0.184 (0.247)	Data 0.133 (0.183)	Loss 3.2506 (3.1523)	Prec@1 28.125 (27.782)	Prec@5 54.297 (56.247)
Epoch: [44][4740/7045]	Time 0.201 (0.247)	Data 0.151 (0.183)	Loss 3.1914 (3.1522)	Prec@1 33.594 (27.783)	Prec@5 53.906 (56.249)
Epoch: [44][4750/7045]	Time 0.514 (0.247)	Data 0.461 (0.183)	Loss 3.0443 (3.1521)	Prec@1 26.953 (27.785)	Prec@5 60.547 (56.250)
Epoch: [44][4760/7045]	Time 0.104 (0.247)	Data 0.052 (0.183)	Loss 3.0853 (3.1521)	Prec@1 30.078 (27.787)	Prec@5 61.328 (56.253)
Epoch: [44][4770/7045]	Time 0.652 (0.247)	Data 0.602 (0.183)	Loss 2.9980 (3.1520)	Prec@1 28.125 (27.786)	Prec@5 59.375 (56.255)
Epoch: [44][4780/7045]	Time 0.108 (0.247)	Data 0.001 (0.183)	Loss 3.0970 (3.1519)	Prec@1 28.125 (27.787)	Prec@5 56.250 (56.255)
Epoch: [44][4790/7045]	Time 0.577 (0.247)	Data 0.526 (0.183)	Loss 3.1869 (3.1517)	Prec@1 30.859 (27.787)	Prec@5 58.203 (56.258)
Epoch: [44][4800/7045]	Time 0.163 (0.247)	Data 0.105 (0.183)	Loss 3.2678 (3.1517)	Prec@1 27.344 (27.788)	Prec@5 53.125 (56.258)
Epoch: [44][4810/7045]	Time 0.588 (0.247)	Data 0.531 (0.183)	Loss 2.9533 (3.1518)	Prec@1 31.250 (27.787)	Prec@5 61.328 (56.257)
Epoch: [44][4820/7045]	Time 0.157 (0.246)	Data 0.107 (0.183)	Loss 3.2326 (3.1518)	Prec@1 26.562 (27.790)	Prec@5 54.297 (56.256)
Epoch: [44][4830/7045]	Time 0.352 (0.247)	Data 0.300 (0.183)	Loss 3.0489 (3.1519)	Prec@1 31.250 (27.790)	Prec@5 61.328 (56.256)
Epoch: [44][4840/7045]	Time 0.260 (0.246)	Data 0.208 (0.183)	Loss 3.1434 (3.1519)	Prec@1 30.469 (27.790)	Prec@5 55.859 (56.257)
Epoch: [44][4850/7045]	Time 0.271 (0.247)	Data 0.219 (0.183)	Loss 3.1413 (3.1519)	Prec@1 24.609 (27.787)	Prec@5 54.688 (56.257)
Epoch: [44][4860/7045]	Time 0.210 (0.246)	Data 0.159 (0.183)	Loss 3.2419 (3.1519)	Prec@1 30.078 (27.789)	Prec@5 55.469 (56.258)
Epoch: [44][4870/7045]	Time 0.256 (0.246)	Data 0.204 (0.183)	Loss 3.0956 (3.1519)	Prec@1 30.859 (27.790)	Prec@5 58.594 (56.256)
Epoch: [44][4880/7045]	Time 0.214 (0.246)	Data 0.163 (0.183)	Loss 2.9288 (3.1518)	Prec@1 30.859 (27.792)	Prec@5 60.156 (56.259)
Epoch: [44][4890/7045]	Time 0.198 (0.246)	Data 0.146 (0.183)	Loss 3.2236 (3.1519)	Prec@1 28.516 (27.790)	Prec@5 50.781 (56.256)
Epoch: [44][4900/7045]	Time 0.242 (0.246)	Data 0.190 (0.183)	Loss 3.2757 (3.1519)	Prec@1 23.047 (27.791)	Prec@5 55.859 (56.255)
Epoch: [44][4910/7045]	Time 0.226 (0.246)	Data 0.174 (0.183)	Loss 3.3486 (3.1519)	Prec@1 25.781 (27.791)	Prec@5 52.344 (56.253)
Epoch: [44][4920/7045]	Time 0.218 (0.246)	Data 0.167 (0.183)	Loss 2.9422 (3.1520)	Prec@1 32.422 (27.790)	Prec@5 62.891 (56.255)
Epoch: [44][4930/7045]	Time 0.169 (0.246)	Data 0.118 (0.183)	Loss 3.2058 (3.1519)	Prec@1 28.125 (27.791)	Prec@5 54.297 (56.257)
Epoch: [44][4940/7045]	Time 0.273 (0.246)	Data 0.223 (0.183)	Loss 3.1868 (3.1520)	Prec@1 27.734 (27.789)	Prec@5 53.125 (56.254)
Epoch: [44][4950/7045]	Time 0.204 (0.246)	Data 0.154 (0.183)	Loss 3.3189 (3.1521)	Prec@1 21.094 (27.785)	Prec@5 49.219 (56.250)
Epoch: [44][4960/7045]	Time 0.360 (0.246)	Data 0.310 (0.183)	Loss 3.1851 (3.1521)	Prec@1 24.609 (27.783)	Prec@5 55.078 (56.250)
Epoch: [44][4970/7045]	Time 0.147 (0.246)	Data 0.094 (0.183)	Loss 2.9295 (3.1519)	Prec@1 33.594 (27.789)	Prec@5 58.984 (56.257)
Epoch: [44][4980/7045]	Time 0.342 (0.246)	Data 0.289 (0.183)	Loss 3.1116 (3.1519)	Prec@1 26.172 (27.790)	Prec@5 54.297 (56.259)
Epoch: [44][4990/7045]	Time 0.103 (0.246)	Data 0.001 (0.183)	Loss 3.2203 (3.1519)	Prec@1 25.391 (27.791)	Prec@5 53.906 (56.257)
Epoch: [44][5000/7045]	Time 0.500 (0.246)	Data 0.447 (0.183)	Loss 3.0758 (3.1520)	Prec@1 24.609 (27.790)	Prec@5 58.203 (56.257)
Epoch: [44][5010/7045]	Time 0.108 (0.246)	Data 0.056 (0.183)	Loss 3.3233 (3.1521)	Prec@1 25.781 (27.787)	Prec@5 53.516 (56.257)
Epoch: [44][5020/7045]	Time 0.408 (0.246)	Data 0.352 (0.183)	Loss 3.3881 (3.1520)	Prec@1 25.781 (27.787)	Prec@5 52.734 (56.257)
Epoch: [44][5030/7045]	Time 0.107 (0.246)	Data 0.053 (0.183)	Loss 3.2934 (3.1520)	Prec@1 28.906 (27.788)	Prec@5 54.297 (56.259)
Epoch: [44][5040/7045]	Time 0.511 (0.246)	Data 0.455 (0.183)	Loss 3.1142 (3.1520)	Prec@1 31.250 (27.788)	Prec@5 54.297 (56.257)
Epoch: [44][5050/7045]	Time 0.102 (0.246)	Data 0.001 (0.183)	Loss 2.9971 (3.1520)	Prec@1 30.469 (27.789)	Prec@5 58.984 (56.256)
Epoch: [44][5060/7045]	Time 0.383 (0.246)	Data 0.331 (0.183)	Loss 3.0755 (3.1521)	Prec@1 33.984 (27.788)	Prec@5 61.328 (56.253)
Epoch: [44][5070/7045]	Time 0.101 (0.246)	Data 0.005 (0.183)	Loss 3.3061 (3.1521)	Prec@1 23.438 (27.790)	Prec@5 50.391 (56.255)
Epoch: [44][5080/7045]	Time 0.348 (0.246)	Data 0.297 (0.183)	Loss 3.2287 (3.1520)	Prec@1 26.953 (27.791)	Prec@5 53.906 (56.254)
Epoch: [44][5090/7045]	Time 0.103 (0.246)	Data 0.008 (0.183)	Loss 3.0106 (3.1521)	Prec@1 36.328 (27.792)	Prec@5 59.375 (56.254)
Epoch: [44][5100/7045]	Time 0.251 (0.246)	Data 0.199 (0.183)	Loss 3.0375 (3.1520)	Prec@1 29.297 (27.792)	Prec@5 58.203 (56.254)
Epoch: [44][5110/7045]	Time 0.121 (0.246)	Data 0.069 (0.183)	Loss 3.0072 (3.1520)	Prec@1 27.344 (27.791)	Prec@5 62.500 (56.256)
Epoch: [44][5120/7045]	Time 0.266 (0.246)	Data 0.214 (0.183)	Loss 3.3053 (3.1520)	Prec@1 24.219 (27.789)	Prec@5 52.344 (56.256)
Epoch: [44][5130/7045]	Time 0.244 (0.246)	Data 0.193 (0.183)	Loss 3.1664 (3.1519)	Prec@1 27.734 (27.791)	Prec@5 56.250 (56.256)
Epoch: [44][5140/7045]	Time 0.137 (0.246)	Data 0.085 (0.183)	Loss 3.1677 (3.1519)	Prec@1 29.297 (27.792)	Prec@5 62.109 (56.257)
Epoch: [44][5150/7045]	Time 0.168 (0.246)	Data 0.118 (0.183)	Loss 3.1409 (3.1519)	Prec@1 28.516 (27.790)	Prec@5 58.984 (56.259)
Epoch: [44][5160/7045]	Time 0.185 (0.246)	Data 0.135 (0.183)	Loss 3.3003 (3.1521)	Prec@1 26.953 (27.785)	Prec@5 53.516 (56.258)
Epoch: [44][5170/7045]	Time 0.102 (0.246)	Data 0.001 (0.183)	Loss 3.0743 (3.1520)	Prec@1 31.250 (27.786)	Prec@5 56.641 (56.260)
Epoch: [44][5180/7045]	Time 0.160 (0.246)	Data 0.103 (0.183)	Loss 3.0335 (3.1521)	Prec@1 27.344 (27.787)	Prec@5 57.031 (56.259)
Epoch: [44][5190/7045]	Time 0.102 (0.246)	Data 0.050 (0.183)	Loss 2.9728 (3.1520)	Prec@1 32.812 (27.788)	Prec@5 62.500 (56.261)
Epoch: [44][5200/7045]	Time 0.159 (0.246)	Data 0.102 (0.183)	Loss 3.0216 (3.1520)	Prec@1 30.859 (27.789)	Prec@5 59.766 (56.263)
Epoch: [44][5210/7045]	Time 0.292 (0.246)	Data 0.241 (0.183)	Loss 3.1313 (3.1521)	Prec@1 28.516 (27.788)	Prec@5 55.078 (56.263)
Epoch: [44][5220/7045]	Time 0.115 (0.246)	Data 0.063 (0.183)	Loss 2.8911 (3.1519)	Prec@1 33.594 (27.791)	Prec@5 62.500 (56.269)
Epoch: [44][5230/7045]	Time 0.277 (0.246)	Data 0.227 (0.183)	Loss 3.2698 (3.1519)	Prec@1 28.906 (27.793)	Prec@5 51.953 (56.268)
Epoch: [44][5240/7045]	Time 0.159 (0.246)	Data 0.107 (0.183)	Loss 3.0448 (3.1520)	Prec@1 31.641 (27.793)	Prec@5 60.938 (56.266)
Epoch: [44][5250/7045]	Time 0.429 (0.246)	Data 0.379 (0.183)	Loss 3.2165 (3.1520)	Prec@1 25.391 (27.791)	Prec@5 58.594 (56.265)
Epoch: [44][5260/7045]	Time 0.104 (0.246)	Data 0.051 (0.183)	Loss 3.1543 (3.1520)	Prec@1 28.516 (27.792)	Prec@5 55.469 (56.266)
Epoch: [44][5270/7045]	Time 0.537 (0.246)	Data 0.480 (0.183)	Loss 3.0483 (3.1520)	Prec@1 28.516 (27.793)	Prec@5 58.984 (56.266)
Epoch: [44][5280/7045]	Time 0.101 (0.246)	Data 0.049 (0.183)	Loss 3.3754 (3.1520)	Prec@1 23.438 (27.793)	Prec@5 52.344 (56.263)
Epoch: [44][5290/7045]	Time 0.444 (0.246)	Data 0.393 (0.183)	Loss 2.8313 (3.1519)	Prec@1 34.375 (27.795)	Prec@5 61.719 (56.267)
Epoch: [44][5300/7045]	Time 0.207 (0.246)	Data 0.157 (0.183)	Loss 3.2922 (3.1520)	Prec@1 30.469 (27.793)	Prec@5 53.516 (56.264)
Epoch: [44][5310/7045]	Time 0.398 (0.246)	Data 0.347 (0.183)	Loss 3.1278 (3.1521)	Prec@1 27.344 (27.793)	Prec@5 54.688 (56.266)
Epoch: [44][5320/7045]	Time 0.337 (0.246)	Data 0.286 (0.183)	Loss 3.1935 (3.1520)	Prec@1 25.781 (27.795)	Prec@5 56.641 (56.267)
Epoch: [44][5330/7045]	Time 0.157 (0.246)	Data 0.106 (0.183)	Loss 3.2020 (3.1520)	Prec@1 25.000 (27.793)	Prec@5 54.297 (56.266)
Epoch: [44][5340/7045]	Time 0.272 (0.246)	Data 0.218 (0.183)	Loss 3.1825 (3.1520)	Prec@1 28.125 (27.794)	Prec@5 57.031 (56.268)
Epoch: [44][5350/7045]	Time 0.103 (0.246)	Data 0.001 (0.183)	Loss 2.9768 (3.1519)	Prec@1 28.906 (27.795)	Prec@5 63.281 (56.272)
Epoch: [44][5360/7045]	Time 0.108 (0.246)	Data 0.057 (0.183)	Loss 3.0921 (3.1517)	Prec@1 26.172 (27.796)	Prec@5 57.812 (56.275)
Epoch: [44][5370/7045]	Time 0.112 (0.246)	Data 0.060 (0.183)	Loss 3.2240 (3.1519)	Prec@1 25.391 (27.794)	Prec@5 56.250 (56.272)
Epoch: [44][5380/7045]	Time 0.126 (0.246)	Data 0.075 (0.183)	Loss 3.1944 (3.1519)	Prec@1 27.734 (27.796)	Prec@5 55.469 (56.272)
Epoch: [44][5390/7045]	Time 0.104 (0.246)	Data 0.051 (0.183)	Loss 3.0323 (3.1519)	Prec@1 30.469 (27.798)	Prec@5 59.766 (56.274)
Epoch: [44][5400/7045]	Time 0.394 (0.246)	Data 0.340 (0.183)	Loss 3.2137 (3.1519)	Prec@1 28.906 (27.797)	Prec@5 56.250 (56.275)
Epoch: [44][5410/7045]	Time 0.104 (0.246)	Data 0.001 (0.183)	Loss 3.1760 (3.1519)	Prec@1 28.125 (27.797)	Prec@5 56.641 (56.275)
Epoch: [44][5420/7045]	Time 0.401 (0.246)	Data 0.350 (0.183)	Loss 3.2088 (3.1519)	Prec@1 25.781 (27.796)	Prec@5 55.859 (56.275)
Epoch: [44][5430/7045]	Time 0.422 (0.246)	Data 0.369 (0.183)	Loss 3.1866 (3.1521)	Prec@1 26.172 (27.793)	Prec@5 53.906 (56.270)
Epoch: [44][5440/7045]	Time 0.160 (0.246)	Data 0.108 (0.183)	Loss 3.1738 (3.1519)	Prec@1 28.125 (27.795)	Prec@5 57.031 (56.273)
Epoch: [44][5450/7045]	Time 0.231 (0.246)	Data 0.180 (0.183)	Loss 3.2425 (3.1520)	Prec@1 27.734 (27.796)	Prec@5 55.078 (56.272)
Epoch: [44][5460/7045]	Time 0.146 (0.246)	Data 0.094 (0.183)	Loss 3.1261 (3.1520)	Prec@1 30.469 (27.797)	Prec@5 58.203 (56.273)
Epoch: [44][5470/7045]	Time 0.102 (0.246)	Data 0.001 (0.183)	Loss 3.3476 (3.1519)	Prec@1 23.047 (27.799)	Prec@5 49.609 (56.275)
Epoch: [44][5480/7045]	Time 0.114 (0.246)	Data 0.062 (0.183)	Loss 3.3078 (3.1519)	Prec@1 24.219 (27.801)	Prec@5 52.344 (56.274)
Epoch: [44][5490/7045]	Time 0.189 (0.246)	Data 0.137 (0.183)	Loss 3.0061 (3.1519)	Prec@1 27.344 (27.802)	Prec@5 59.375 (56.274)
Epoch: [44][5500/7045]	Time 0.102 (0.246)	Data 0.049 (0.183)	Loss 3.3589 (3.1519)	Prec@1 24.219 (27.801)	Prec@5 50.781 (56.274)
Epoch: [44][5510/7045]	Time 0.102 (0.246)	Data 0.002 (0.183)	Loss 3.3185 (3.1518)	Prec@1 25.781 (27.802)	Prec@5 52.734 (56.274)
Epoch: [44][5520/7045]	Time 0.490 (0.246)	Data 0.438 (0.183)	Loss 3.1281 (3.1518)	Prec@1 27.344 (27.801)	Prec@5 56.250 (56.275)
Epoch: [44][5530/7045]	Time 0.195 (0.246)	Data 0.144 (0.183)	Loss 3.0110 (3.1517)	Prec@1 30.859 (27.802)	Prec@5 61.719 (56.278)
Epoch: [44][5540/7045]	Time 0.698 (0.246)	Data 0.641 (0.183)	Loss 2.9321 (3.1517)	Prec@1 29.688 (27.801)	Prec@5 62.109 (56.278)
Epoch: [44][5550/7045]	Time 0.101 (0.246)	Data 0.001 (0.183)	Loss 3.3713 (3.1517)	Prec@1 26.172 (27.801)	Prec@5 51.953 (56.278)
Epoch: [44][5560/7045]	Time 0.665 (0.246)	Data 0.614 (0.183)	Loss 2.8867 (3.1516)	Prec@1 34.766 (27.802)	Prec@5 60.156 (56.279)
Epoch: [44][5570/7045]	Time 0.101 (0.246)	Data 0.001 (0.183)	Loss 3.1434 (3.1515)	Prec@1 25.000 (27.800)	Prec@5 54.297 (56.281)
Epoch: [44][5580/7045]	Time 0.756 (0.246)	Data 0.704 (0.183)	Loss 3.3285 (3.1514)	Prec@1 26.562 (27.802)	Prec@5 52.344 (56.284)
Epoch: [44][5590/7045]	Time 0.103 (0.246)	Data 0.001 (0.183)	Loss 3.1372 (3.1516)	Prec@1 26.172 (27.799)	Prec@5 57.422 (56.279)
Epoch: [44][5600/7045]	Time 0.422 (0.246)	Data 0.370 (0.183)	Loss 2.9992 (3.1516)	Prec@1 27.344 (27.800)	Prec@5 60.547 (56.280)
Epoch: [44][5610/7045]	Time 0.118 (0.246)	Data 0.066 (0.183)	Loss 3.3947 (3.1518)	Prec@1 24.219 (27.798)	Prec@5 53.516 (56.278)
Epoch: [44][5620/7045]	Time 0.319 (0.246)	Data 0.262 (0.183)	Loss 3.0265 (3.1518)	Prec@1 33.203 (27.800)	Prec@5 58.203 (56.280)
Epoch: [44][5630/7045]	Time 0.100 (0.246)	Data 0.001 (0.183)	Loss 3.1308 (3.1519)	Prec@1 28.906 (27.800)	Prec@5 56.250 (56.278)
Epoch: [44][5640/7045]	Time 0.129 (0.246)	Data 0.071 (0.183)	Loss 3.0466 (3.1519)	Prec@1 27.344 (27.798)	Prec@5 57.422 (56.273)
Epoch: [44][5650/7045]	Time 0.497 (0.246)	Data 0.446 (0.183)	Loss 2.8915 (3.1518)	Prec@1 32.031 (27.798)	Prec@5 60.547 (56.276)
Epoch: [44][5660/7045]	Time 0.122 (0.246)	Data 0.071 (0.183)	Loss 3.2175 (3.1518)	Prec@1 30.469 (27.799)	Prec@5 53.516 (56.276)
Epoch: [44][5670/7045]	Time 0.601 (0.246)	Data 0.549 (0.183)	Loss 3.3656 (3.1518)	Prec@1 27.344 (27.801)	Prec@5 51.562 (56.277)
Epoch: [44][5680/7045]	Time 0.102 (0.246)	Data 0.049 (0.183)	Loss 3.0574 (3.1519)	Prec@1 26.562 (27.800)	Prec@5 58.594 (56.277)
Epoch: [44][5690/7045]	Time 0.462 (0.246)	Data 0.411 (0.183)	Loss 2.9951 (3.1518)	Prec@1 30.078 (27.802)	Prec@5 57.422 (56.277)
Epoch: [44][5700/7045]	Time 0.302 (0.246)	Data 0.251 (0.183)	Loss 3.0929 (3.1518)	Prec@1 30.078 (27.804)	Prec@5 53.906 (56.276)
Epoch: [44][5710/7045]	Time 0.479 (0.246)	Data 0.428 (0.183)	Loss 3.1070 (3.1518)	Prec@1 30.859 (27.804)	Prec@5 58.203 (56.274)
Epoch: [44][5720/7045]	Time 0.289 (0.246)	Data 0.238 (0.183)	Loss 3.1943 (3.1518)	Prec@1 27.344 (27.806)	Prec@5 57.422 (56.274)
Epoch: [44][5730/7045]	Time 0.331 (0.246)	Data 0.273 (0.183)	Loss 3.2793 (3.1519)	Prec@1 29.297 (27.805)	Prec@5 51.562 (56.274)
Epoch: [44][5740/7045]	Time 0.256 (0.246)	Data 0.205 (0.183)	Loss 3.0285 (3.1519)	Prec@1 28.516 (27.805)	Prec@5 58.594 (56.274)
Epoch: [44][5750/7045]	Time 0.160 (0.246)	Data 0.109 (0.183)	Loss 3.0899 (3.1518)	Prec@1 29.688 (27.809)	Prec@5 58.984 (56.276)
Epoch: [44][5760/7045]	Time 0.267 (0.246)	Data 0.215 (0.183)	Loss 3.1504 (3.1518)	Prec@1 26.953 (27.810)	Prec@5 55.078 (56.277)
Epoch: [44][5770/7045]	Time 0.105 (0.246)	Data 0.052 (0.183)	Loss 3.1492 (3.1518)	Prec@1 26.562 (27.810)	Prec@5 53.906 (56.280)
Epoch: [44][5780/7045]	Time 0.293 (0.246)	Data 0.241 (0.183)	Loss 3.1875 (3.1518)	Prec@1 27.734 (27.812)	Prec@5 51.953 (56.279)
Epoch: [44][5790/7045]	Time 0.102 (0.246)	Data 0.045 (0.183)	Loss 3.1378 (3.1516)	Prec@1 27.734 (27.813)	Prec@5 55.078 (56.282)
Epoch: [44][5800/7045]	Time 0.352 (0.246)	Data 0.301 (0.183)	Loss 3.2273 (3.1517)	Prec@1 27.734 (27.812)	Prec@5 49.609 (56.280)
Epoch: [44][5810/7045]	Time 0.101 (0.246)	Data 0.001 (0.183)	Loss 3.0225 (3.1517)	Prec@1 28.906 (27.810)	Prec@5 57.031 (56.279)
Epoch: [44][5820/7045]	Time 0.531 (0.246)	Data 0.481 (0.183)	Loss 3.1364 (3.1517)	Prec@1 26.172 (27.809)	Prec@5 51.562 (56.280)
Epoch: [44][5830/7045]	Time 0.204 (0.246)	Data 0.151 (0.183)	Loss 3.0441 (3.1516)	Prec@1 28.906 (27.810)	Prec@5 58.984 (56.282)
Epoch: [44][5840/7045]	Time 0.454 (0.246)	Data 0.402 (0.183)	Loss 2.9923 (3.1516)	Prec@1 31.641 (27.809)	Prec@5 58.203 (56.282)
Epoch: [44][5850/7045]	Time 0.102 (0.246)	Data 0.046 (0.183)	Loss 3.1504 (3.1517)	Prec@1 26.953 (27.809)	Prec@5 58.984 (56.282)
Epoch: [44][5860/7045]	Time 0.481 (0.246)	Data 0.429 (0.183)	Loss 3.1961 (3.1516)	Prec@1 26.562 (27.809)	Prec@5 56.250 (56.283)
Epoch: [44][5870/7045]	Time 0.103 (0.246)	Data 0.050 (0.183)	Loss 3.0113 (3.1515)	Prec@1 32.031 (27.812)	Prec@5 62.500 (56.286)
Epoch: [44][5880/7045]	Time 0.102 (0.246)	Data 0.004 (0.183)	Loss 3.1511 (3.1515)	Prec@1 31.250 (27.813)	Prec@5 57.031 (56.286)
Epoch: [44][5890/7045]	Time 0.102 (0.246)	Data 0.001 (0.183)	Loss 3.1122 (3.1516)	Prec@1 28.906 (27.812)	Prec@5 56.641 (56.285)
Epoch: [44][5900/7045]	Time 0.108 (0.246)	Data 0.006 (0.183)	Loss 3.2296 (3.1516)	Prec@1 23.828 (27.810)	Prec@5 54.688 (56.282)
Epoch: [44][5910/7045]	Time 0.102 (0.246)	Data 0.047 (0.183)	Loss 3.0107 (3.1516)	Prec@1 31.250 (27.810)	Prec@5 61.719 (56.282)
Epoch: [44][5920/7045]	Time 0.102 (0.246)	Data 0.004 (0.183)	Loss 3.2817 (3.1517)	Prec@1 26.172 (27.808)	Prec@5 56.641 (56.281)
Epoch: [44][5930/7045]	Time 0.110 (0.246)	Data 0.057 (0.183)	Loss 3.1559 (3.1518)	Prec@1 23.047 (27.806)	Prec@5 57.422 (56.280)
Epoch: [44][5940/7045]	Time 0.102 (0.246)	Data 0.008 (0.183)	Loss 3.0308 (3.1517)	Prec@1 29.688 (27.808)	Prec@5 56.250 (56.281)
Epoch: [44][5950/7045]	Time 0.119 (0.246)	Data 0.066 (0.183)	Loss 3.3942 (3.1517)	Prec@1 24.609 (27.807)	Prec@5 51.562 (56.280)
Epoch: [44][5960/7045]	Time 0.107 (0.246)	Data 0.004 (0.183)	Loss 3.1998 (3.1517)	Prec@1 29.688 (27.806)	Prec@5 55.859 (56.281)
Epoch: [44][5970/7045]	Time 0.102 (0.246)	Data 0.001 (0.183)	Loss 3.3242 (3.1517)	Prec@1 24.609 (27.805)	Prec@5 52.734 (56.283)
Epoch: [44][5980/7045]	Time 0.136 (0.246)	Data 0.085 (0.183)	Loss 3.1941 (3.1517)	Prec@1 25.781 (27.805)	Prec@5 57.422 (56.281)
Epoch: [44][5990/7045]	Time 0.323 (0.246)	Data 0.271 (0.183)	Loss 2.9934 (3.1517)	Prec@1 31.641 (27.806)	Prec@5 60.938 (56.283)
Epoch: [44][6000/7045]	Time 0.165 (0.246)	Data 0.114 (0.183)	Loss 3.1602 (3.1517)	Prec@1 30.859 (27.807)	Prec@5 55.859 (56.281)
Epoch: [44][6010/7045]	Time 0.565 (0.246)	Data 0.507 (0.183)	Loss 3.3151 (3.1517)	Prec@1 25.000 (27.808)	Prec@5 51.172 (56.281)
Epoch: [44][6020/7045]	Time 0.107 (0.246)	Data 0.056 (0.183)	Loss 3.3146 (3.1518)	Prec@1 24.219 (27.807)	Prec@5 52.734 (56.282)
Epoch: [44][6030/7045]	Time 0.585 (0.246)	Data 0.533 (0.183)	Loss 2.9563 (3.1518)	Prec@1 30.078 (27.809)	Prec@5 62.891 (56.281)
Epoch: [44][6040/7045]	Time 0.111 (0.246)	Data 0.006 (0.183)	Loss 3.2662 (3.1517)	Prec@1 21.875 (27.809)	Prec@5 56.250 (56.283)
Epoch: [44][6050/7045]	Time 0.585 (0.246)	Data 0.534 (0.183)	Loss 3.2061 (3.1517)	Prec@1 27.344 (27.810)	Prec@5 53.516 (56.284)
Epoch: [44][6060/7045]	Time 0.101 (0.246)	Data 0.001 (0.183)	Loss 3.1690 (3.1517)	Prec@1 28.125 (27.811)	Prec@5 56.250 (56.285)
Epoch: [44][6070/7045]	Time 0.548 (0.246)	Data 0.497 (0.183)	Loss 3.1304 (3.1517)	Prec@1 30.469 (27.813)	Prec@5 58.594 (56.287)
Epoch: [44][6080/7045]	Time 0.104 (0.246)	Data 0.051 (0.183)	Loss 3.3236 (3.1517)	Prec@1 26.562 (27.814)	Prec@5 53.516 (56.287)
Epoch: [44][6090/7045]	Time 0.264 (0.246)	Data 0.207 (0.183)	Loss 3.1888 (3.1517)	Prec@1 28.516 (27.813)	Prec@5 58.984 (56.288)
Epoch: [44][6100/7045]	Time 0.103 (0.246)	Data 0.001 (0.183)	Loss 3.1407 (3.1517)	Prec@1 30.859 (27.814)	Prec@5 56.250 (56.288)
Epoch: [44][6110/7045]	Time 0.302 (0.246)	Data 0.243 (0.183)	Loss 2.9798 (3.1517)	Prec@1 29.297 (27.813)	Prec@5 59.766 (56.286)
Epoch: [44][6120/7045]	Time 0.534 (0.246)	Data 0.483 (0.183)	Loss 3.3014 (3.1517)	Prec@1 29.297 (27.813)	Prec@5 51.953 (56.286)
Epoch: [44][6130/7045]	Time 0.103 (0.246)	Data 0.006 (0.183)	Loss 3.2043 (3.1519)	Prec@1 25.000 (27.810)	Prec@5 53.906 (56.282)
Epoch: [44][6140/7045]	Time 0.193 (0.246)	Data 0.142 (0.183)	Loss 3.1854 (3.1518)	Prec@1 28.125 (27.811)	Prec@5 60.547 (56.283)
Epoch: [44][6150/7045]	Time 0.394 (0.246)	Data 0.344 (0.183)	Loss 3.1151 (3.1517)	Prec@1 25.781 (27.811)	Prec@5 57.031 (56.285)
Epoch: [44][6160/7045]	Time 0.117 (0.246)	Data 0.066 (0.183)	Loss 3.2251 (3.1517)	Prec@1 25.000 (27.813)	Prec@5 55.469 (56.284)
Epoch: [44][6170/7045]	Time 0.626 (0.246)	Data 0.575 (0.183)	Loss 3.0758 (3.1517)	Prec@1 30.859 (27.814)	Prec@5 58.594 (56.284)
Epoch: [44][6180/7045]	Time 0.108 (0.246)	Data 0.057 (0.183)	Loss 3.1226 (3.1516)	Prec@1 26.172 (27.815)	Prec@5 55.469 (56.286)
Epoch: [44][6190/7045]	Time 0.471 (0.246)	Data 0.420 (0.183)	Loss 3.1559 (3.1516)	Prec@1 25.000 (27.815)	Prec@5 56.250 (56.285)
Epoch: [44][6200/7045]	Time 0.104 (0.246)	Data 0.053 (0.183)	Loss 3.0317 (3.1516)	Prec@1 27.734 (27.818)	Prec@5 58.594 (56.288)
Epoch: [44][6210/7045]	Time 0.202 (0.246)	Data 0.151 (0.183)	Loss 3.2391 (3.1515)	Prec@1 27.734 (27.818)	Prec@5 52.344 (56.289)
Epoch: [44][6220/7045]	Time 0.266 (0.246)	Data 0.215 (0.183)	Loss 3.2263 (3.1515)	Prec@1 25.781 (27.820)	Prec@5 53.125 (56.291)
Epoch: [44][6230/7045]	Time 0.102 (0.246)	Data 0.001 (0.183)	Loss 3.3228 (3.1515)	Prec@1 25.781 (27.819)	Prec@5 55.859 (56.288)
Epoch: [44][6240/7045]	Time 0.379 (0.246)	Data 0.329 (0.183)	Loss 3.2216 (3.1514)	Prec@1 24.609 (27.819)	Prec@5 53.516 (56.291)
Epoch: [44][6250/7045]	Time 0.343 (0.246)	Data 0.293 (0.183)	Loss 3.0778 (3.1514)	Prec@1 28.906 (27.819)	Prec@5 58.203 (56.293)
Epoch: [44][6260/7045]	Time 0.310 (0.246)	Data 0.259 (0.183)	Loss 3.1612 (3.1514)	Prec@1 28.516 (27.820)	Prec@5 54.688 (56.293)
Epoch: [44][6270/7045]	Time 0.310 (0.246)	Data 0.257 (0.183)	Loss 3.1523 (3.1514)	Prec@1 26.172 (27.818)	Prec@5 57.031 (56.291)
Epoch: [44][6280/7045]	Time 0.125 (0.246)	Data 0.074 (0.183)	Loss 3.2355 (3.1515)	Prec@1 27.344 (27.816)	Prec@5 54.297 (56.289)
Epoch: [44][6290/7045]	Time 0.102 (0.246)	Data 0.050 (0.183)	Loss 3.1488 (3.1515)	Prec@1 28.516 (27.816)	Prec@5 56.641 (56.288)
Epoch: [44][6300/7045]	Time 0.101 (0.246)	Data 0.004 (0.183)	Loss 3.0579 (3.1516)	Prec@1 30.469 (27.814)	Prec@5 59.375 (56.288)
Epoch: [44][6310/7045]	Time 0.101 (0.246)	Data 0.003 (0.183)	Loss 3.0609 (3.1515)	Prec@1 27.344 (27.815)	Prec@5 57.422 (56.290)
Epoch: [44][6320/7045]	Time 0.365 (0.246)	Data 0.315 (0.183)	Loss 2.9955 (3.1515)	Prec@1 29.297 (27.813)	Prec@5 58.203 (56.287)
Epoch: [44][6330/7045]	Time 0.103 (0.246)	Data 0.001 (0.183)	Loss 3.4481 (3.1515)	Prec@1 25.781 (27.814)	Prec@5 53.906 (56.289)
Epoch: [44][6340/7045]	Time 0.355 (0.246)	Data 0.298 (0.183)	Loss 3.1932 (3.1516)	Prec@1 24.219 (27.813)	Prec@5 54.297 (56.285)
Epoch: [44][6350/7045]	Time 0.103 (0.246)	Data 0.051 (0.183)	Loss 3.0225 (3.1516)	Prec@1 33.203 (27.814)	Prec@5 61.719 (56.284)
Epoch: [44][6360/7045]	Time 0.368 (0.246)	Data 0.310 (0.183)	Loss 3.0657 (3.1516)	Prec@1 28.516 (27.815)	Prec@5 58.203 (56.285)
Epoch: [44][6370/7045]	Time 0.137 (0.246)	Data 0.086 (0.183)	Loss 3.0820 (3.1516)	Prec@1 27.734 (27.815)	Prec@5 56.641 (56.285)
Epoch: [44][6380/7045]	Time 0.319 (0.246)	Data 0.268 (0.183)	Loss 2.9169 (3.1516)	Prec@1 30.859 (27.816)	Prec@5 61.719 (56.286)
Epoch: [44][6390/7045]	Time 0.113 (0.246)	Data 0.061 (0.183)	Loss 3.1251 (3.1515)	Prec@1 29.688 (27.818)	Prec@5 55.078 (56.288)
Epoch: [44][6400/7045]	Time 0.225 (0.246)	Data 0.168 (0.183)	Loss 3.0904 (3.1515)	Prec@1 29.688 (27.819)	Prec@5 55.078 (56.286)
Epoch: [44][6410/7045]	Time 0.109 (0.246)	Data 0.057 (0.183)	Loss 2.8096 (3.1514)	Prec@1 35.547 (27.820)	Prec@5 65.234 (56.286)
Epoch: [44][6420/7045]	Time 0.217 (0.246)	Data 0.161 (0.183)	Loss 3.1890 (3.1514)	Prec@1 23.828 (27.818)	Prec@5 54.297 (56.288)
Epoch: [44][6430/7045]	Time 0.103 (0.246)	Data 0.050 (0.183)	Loss 3.0970 (3.1515)	Prec@1 28.125 (27.817)	Prec@5 56.641 (56.286)
Epoch: [44][6440/7045]	Time 0.295 (0.246)	Data 0.237 (0.183)	Loss 3.1722 (3.1514)	Prec@1 25.781 (27.818)	Prec@5 53.906 (56.289)
Epoch: [44][6450/7045]	Time 0.101 (0.246)	Data 0.001 (0.183)	Loss 3.1428 (3.1514)	Prec@1 27.344 (27.819)	Prec@5 54.688 (56.289)
Epoch: [44][6460/7045]	Time 0.169 (0.246)	Data 0.112 (0.183)	Loss 3.0031 (3.1514)	Prec@1 33.594 (27.820)	Prec@5 60.547 (56.289)
Epoch: [44][6470/7045]	Time 0.295 (0.246)	Data 0.244 (0.183)	Loss 2.9941 (3.1514)	Prec@1 31.641 (27.821)	Prec@5 58.203 (56.290)
Epoch: [44][6480/7045]	Time 0.108 (0.246)	Data 0.048 (0.183)	Loss 3.0830 (3.1513)	Prec@1 28.906 (27.822)	Prec@5 60.547 (56.290)
Epoch: [44][6490/7045]	Time 0.603 (0.246)	Data 0.552 (0.183)	Loss 3.2399 (3.1513)	Prec@1 26.953 (27.822)	Prec@5 55.469 (56.291)
Epoch: [44][6500/7045]	Time 0.101 (0.246)	Data 0.007 (0.183)	Loss 3.0964 (3.1513)	Prec@1 29.688 (27.823)	Prec@5 56.641 (56.291)
Epoch: [44][6510/7045]	Time 0.241 (0.246)	Data 0.190 (0.183)	Loss 3.1842 (3.1514)	Prec@1 30.078 (27.822)	Prec@5 58.984 (56.291)
Epoch: [44][6520/7045]	Time 0.102 (0.246)	Data 0.006 (0.183)	Loss 3.4476 (3.1515)	Prec@1 20.703 (27.820)	Prec@5 50.781 (56.288)
Epoch: [44][6530/7045]	Time 0.206 (0.246)	Data 0.155 (0.183)	Loss 3.1872 (3.1515)	Prec@1 23.438 (27.819)	Prec@5 53.125 (56.290)
Epoch: [44][6540/7045]	Time 0.234 (0.246)	Data 0.183 (0.183)	Loss 3.2152 (3.1515)	Prec@1 27.734 (27.819)	Prec@5 55.469 (56.288)
Epoch: [44][6550/7045]	Time 0.177 (0.246)	Data 0.126 (0.183)	Loss 3.1231 (3.1514)	Prec@1 29.688 (27.821)	Prec@5 57.031 (56.288)
Epoch: [44][6560/7045]	Time 0.813 (0.246)	Data 0.762 (0.183)	Loss 3.2948 (3.1515)	Prec@1 25.000 (27.821)	Prec@5 52.344 (56.287)
Epoch: [44][6570/7045]	Time 0.103 (0.246)	Data 0.001 (0.183)	Loss 3.1438 (3.1514)	Prec@1 28.906 (27.823)	Prec@5 51.172 (56.288)
Epoch: [44][6580/7045]	Time 0.286 (0.246)	Data 0.235 (0.183)	Loss 3.2317 (3.1513)	Prec@1 28.516 (27.823)	Prec@5 54.297 (56.289)
Epoch: [44][6590/7045]	Time 0.102 (0.246)	Data 0.002 (0.183)	Loss 3.2917 (3.1514)	Prec@1 23.438 (27.822)	Prec@5 55.469 (56.288)
Epoch: [44][6600/7045]	Time 0.106 (0.246)	Data 0.005 (0.183)	Loss 3.2018 (3.1514)	Prec@1 25.781 (27.823)	Prec@5 54.688 (56.287)
Epoch: [44][6610/7045]	Time 0.103 (0.246)	Data 0.047 (0.183)	Loss 3.1141 (3.1514)	Prec@1 30.859 (27.824)	Prec@5 56.250 (56.288)
Epoch: [44][6620/7045]	Time 0.099 (0.246)	Data 0.003 (0.183)	Loss 3.3170 (3.1514)	Prec@1 25.000 (27.826)	Prec@5 51.172 (56.287)
Epoch: [44][6630/7045]	Time 0.103 (0.246)	Data 0.003 (0.183)	Loss 3.0792 (3.1514)	Prec@1 27.734 (27.826)	Prec@5 54.297 (56.288)
Epoch: [44][6640/7045]	Time 0.102 (0.246)	Data 0.005 (0.183)	Loss 3.1718 (3.1514)	Prec@1 27.734 (27.826)	Prec@5 58.203 (56.286)
Epoch: [44][6650/7045]	Time 0.222 (0.246)	Data 0.170 (0.183)	Loss 3.1239 (3.1513)	Prec@1 32.422 (27.827)	Prec@5 58.203 (56.288)
Epoch: [44][6660/7045]	Time 0.103 (0.246)	Data 0.006 (0.183)	Loss 3.3290 (3.1513)	Prec@1 27.344 (27.826)	Prec@5 52.734 (56.288)
Epoch: [44][6670/7045]	Time 0.221 (0.246)	Data 0.170 (0.183)	Loss 3.1912 (3.1513)	Prec@1 29.297 (27.825)	Prec@5 58.203 (56.288)
Epoch: [44][6680/7045]	Time 0.101 (0.246)	Data 0.001 (0.183)	Loss 3.2398 (3.1514)	Prec@1 25.000 (27.826)	Prec@5 54.297 (56.287)
Epoch: [44][6690/7045]	Time 0.475 (0.246)	Data 0.423 (0.183)	Loss 3.4554 (3.1514)	Prec@1 24.219 (27.827)	Prec@5 51.562 (56.286)
Epoch: [44][6700/7045]	Time 0.249 (0.246)	Data 0.198 (0.183)	Loss 3.1140 (3.1514)	Prec@1 26.562 (27.827)	Prec@5 56.641 (56.285)
Epoch: [44][6710/7045]	Time 0.327 (0.246)	Data 0.267 (0.183)	Loss 3.1374 (3.1513)	Prec@1 24.219 (27.826)	Prec@5 56.250 (56.285)
Epoch: [44][6720/7045]	Time 0.510 (0.246)	Data 0.459 (0.183)	Loss 3.1215 (3.1513)	Prec@1 30.078 (27.826)	Prec@5 55.859 (56.286)
Epoch: [44][6730/7045]	Time 0.101 (0.246)	Data 0.001 (0.183)	Loss 3.1465 (3.1513)	Prec@1 27.344 (27.826)	Prec@5 55.859 (56.286)
Epoch: [44][6740/7045]	Time 0.482 (0.246)	Data 0.430 (0.183)	Loss 3.2491 (3.1513)	Prec@1 26.172 (27.828)	Prec@5 53.125 (56.285)
Epoch: [44][6750/7045]	Time 0.102 (0.246)	Data 0.001 (0.183)	Loss 3.3082 (3.1513)	Prec@1 26.953 (27.827)	Prec@5 50.391 (56.284)
Epoch: [44][6760/7045]	Time 0.311 (0.246)	Data 0.260 (0.183)	Loss 3.0382 (3.1514)	Prec@1 25.781 (27.825)	Prec@5 55.078 (56.281)
Epoch: [44][6770/7045]	Time 0.102 (0.246)	Data 0.001 (0.183)	Loss 3.2024 (3.1514)	Prec@1 26.562 (27.825)	Prec@5 58.203 (56.281)
Epoch: [44][6780/7045]	Time 0.107 (0.246)	Data 0.005 (0.183)	Loss 3.1656 (3.1515)	Prec@1 23.438 (27.824)	Prec@5 56.641 (56.280)
Epoch: [44][6790/7045]	Time 0.101 (0.246)	Data 0.001 (0.183)	Loss 3.2238 (3.1514)	Prec@1 28.906 (27.824)	Prec@5 53.516 (56.280)
Epoch: [44][6800/7045]	Time 0.109 (0.246)	Data 0.008 (0.183)	Loss 3.4232 (3.1514)	Prec@1 21.094 (27.822)	Prec@5 53.125 (56.279)
Epoch: [44][6810/7045]	Time 0.103 (0.246)	Data 0.006 (0.183)	Loss 3.2950 (3.1515)	Prec@1 25.000 (27.821)	Prec@5 51.953 (56.277)
Epoch: [44][6820/7045]	Time 0.102 (0.246)	Data 0.001 (0.183)	Loss 3.3991 (3.1516)	Prec@1 25.391 (27.819)	Prec@5 55.078 (56.276)
Epoch: [44][6830/7045]	Time 0.102 (0.246)	Data 0.001 (0.182)	Loss 3.2927 (3.1516)	Prec@1 25.781 (27.818)	Prec@5 51.953 (56.275)
Epoch: [44][6840/7045]	Time 0.102 (0.246)	Data 0.006 (0.182)	Loss 3.1308 (3.1517)	Prec@1 27.344 (27.818)	Prec@5 57.031 (56.274)
Epoch: [44][6850/7045]	Time 0.408 (0.246)	Data 0.356 (0.183)	Loss 3.2655 (3.1518)	Prec@1 27.344 (27.817)	Prec@5 54.688 (56.271)
Epoch: [44][6860/7045]	Time 0.102 (0.246)	Data 0.001 (0.182)	Loss 3.1405 (3.1518)	Prec@1 29.688 (27.818)	Prec@5 55.469 (56.271)
Epoch: [44][6870/7045]	Time 0.513 (0.246)	Data 0.455 (0.183)	Loss 3.1583 (3.1518)	Prec@1 27.734 (27.818)	Prec@5 55.859 (56.270)
Epoch: [44][6880/7045]	Time 0.116 (0.246)	Data 0.063 (0.182)	Loss 3.2645 (3.1518)	Prec@1 23.438 (27.817)	Prec@5 53.516 (56.272)
Epoch: [44][6890/7045]	Time 0.463 (0.246)	Data 0.413 (0.182)	Loss 3.2335 (3.1517)	Prec@1 25.781 (27.817)	Prec@5 51.953 (56.272)
Epoch: [44][6900/7045]	Time 0.160 (0.246)	Data 0.102 (0.182)	Loss 3.1500 (3.1518)	Prec@1 26.953 (27.817)	Prec@5 55.469 (56.271)
Epoch: [44][6910/7045]	Time 0.279 (0.246)	Data 0.227 (0.182)	Loss 3.0923 (3.1518)	Prec@1 29.297 (27.817)	Prec@5 61.328 (56.273)
Epoch: [44][6920/7045]	Time 0.132 (0.246)	Data 0.081 (0.182)	Loss 3.0821 (3.1517)	Prec@1 26.562 (27.818)	Prec@5 57.422 (56.275)
Epoch: [44][6930/7045]	Time 0.103 (0.246)	Data 0.003 (0.183)	Loss 3.0298 (3.1517)	Prec@1 28.906 (27.818)	Prec@5 57.031 (56.277)
Epoch: [44][6940/7045]	Time 0.102 (0.246)	Data 0.007 (0.182)	Loss 3.0884 (3.1516)	Prec@1 29.297 (27.819)	Prec@5 55.859 (56.279)
Epoch: [44][6950/7045]	Time 0.104 (0.246)	Data 0.051 (0.182)	Loss 3.1087 (3.1515)	Prec@1 30.078 (27.821)	Prec@5 57.812 (56.280)
Epoch: [44][6960/7045]	Time 0.101 (0.246)	Data 0.004 (0.182)	Loss 3.3137 (3.1515)	Prec@1 24.609 (27.820)	Prec@5 55.469 (56.281)
Epoch: [44][6970/7045]	Time 0.103 (0.246)	Data 0.001 (0.182)	Loss 3.1051 (3.1515)	Prec@1 29.688 (27.820)	Prec@5 56.641 (56.281)
Epoch: [44][6980/7045]	Time 0.108 (0.246)	Data 0.055 (0.182)	Loss 2.8202 (3.1515)	Prec@1 35.156 (27.819)	Prec@5 61.719 (56.279)
Epoch: [44][6990/7045]	Time 0.101 (0.246)	Data 0.006 (0.182)	Loss 3.0607 (3.1515)	Prec@1 28.516 (27.820)	Prec@5 58.594 (56.279)
Epoch: [44][7000/7045]	Time 0.267 (0.246)	Data 0.215 (0.182)	Loss 2.9305 (3.1515)	Prec@1 31.641 (27.821)	Prec@5 62.891 (56.280)
Epoch: [44][7010/7045]	Time 0.101 (0.246)	Data 0.001 (0.182)	Loss 2.9793 (3.1515)	Prec@1 26.953 (27.819)	Prec@5 59.766 (56.280)
Epoch: [44][7020/7045]	Time 0.101 (0.246)	Data 0.005 (0.183)	Loss 3.1936 (3.1516)	Prec@1 25.391 (27.817)	Prec@5 55.859 (56.279)
Epoch: [44][7030/7045]	Time 0.127 (0.246)	Data 0.076 (0.182)	Loss 3.0379 (3.1516)	Prec@1 25.391 (27.816)	Prec@5 58.594 (56.280)
Epoch: [44][7040/7045]	Time 0.243 (0.246)	Data 0.193 (0.183)	Loss 3.1790 (3.1516)	Prec@1 30.859 (27.817)	Prec@5 56.250 (56.280)
Test: [0/143]	Time 1.153 (1.153)	Loss 2.7289 (2.7289)	Prec@1 35.156 (35.156)	Prec@5 67.969 (67.969)
Test: [10/143]	Time 0.058 (0.245)	Loss 2.2328 (2.5324)	Prec@1 51.562 (38.885)	Prec@5 76.562 (70.490)
Test: [20/143]	Time 0.289 (0.230)	Loss 2.7597 (2.5555)	Prec@1 36.719 (37.165)	Prec@5 64.844 (69.010)
Test: [30/143]	Time 0.204 (0.209)	Loss 2.9598 (2.6196)	Prec@1 33.984 (36.580)	Prec@5 58.984 (67.389)
Test: [40/143]	Time 0.103 (0.204)	Loss 3.2047 (2.6340)	Prec@1 17.578 (36.452)	Prec@5 54.297 (66.873)
Test: [50/143]	Time 0.218 (0.199)	Loss 2.4920 (2.6881)	Prec@1 34.766 (34.881)	Prec@5 78.906 (66.146)
Test: [60/143]	Time 0.117 (0.197)	Loss 2.8695 (2.6593)	Prec@1 24.609 (35.528)	Prec@5 64.844 (66.707)
Test: [70/143]	Time 0.151 (0.193)	Loss 3.6036 (2.6616)	Prec@1 14.453 (35.536)	Prec@5 41.406 (66.610)
Test: [80/143]	Time 0.048 (0.193)	Loss 2.6569 (2.6495)	Prec@1 31.250 (35.749)	Prec@5 69.531 (66.932)
Test: [90/143]	Time 0.293 (0.191)	Loss 2.2037 (2.6500)	Prec@1 43.359 (35.714)	Prec@5 82.812 (66.951)
Test: [100/143]	Time 0.049 (0.190)	Loss 2.4088 (2.6480)	Prec@1 43.750 (35.682)	Prec@5 75.391 (67.122)
Test: [110/143]	Time 0.390 (0.190)	Loss 2.3199 (2.6377)	Prec@1 43.750 (36.099)	Prec@5 73.828 (67.385)
Test: [120/143]	Time 0.113 (0.188)	Loss 2.1210 (2.6195)	Prec@1 51.172 (36.522)	Prec@5 80.469 (67.740)
Test: [130/143]	Time 0.246 (0.189)	Loss 2.0299 (2.6310)	Prec@1 56.641 (36.373)	Prec@5 73.047 (67.381)
Test: [140/143]	Time 0.048 (0.188)	Loss 3.4211 (2.6555)	Prec@1 20.312 (35.824)	Prec@5 51.953 (66.830)
 * Prec@1 35.836 Prec@5 66.833
Epoch: [45][0/7045]	Time 2.343 (2.343)	Data 2.283 (2.283)	Loss 2.9916 (2.9916)	Prec@1 31.641 (31.641)	Prec@5 55.078 (55.078)
Epoch: [45][10/7045]	Time 0.111 (0.408)	Data 0.060 (0.321)	Loss 3.0892 (3.1070)	Prec@1 30.078 (27.912)	Prec@5 55.078 (56.676)
Epoch: [45][20/7045]	Time 0.543 (0.344)	Data 0.492 (0.270)	Loss 3.1158 (3.1084)	Prec@1 27.734 (28.199)	Prec@5 57.031 (57.087)
Epoch: [45][30/7045]	Time 0.135 (0.304)	Data 0.084 (0.233)	Loss 2.9949 (3.0950)	Prec@1 26.562 (27.923)	Prec@5 58.203 (57.245)
Epoch: [45][40/7045]	Time 0.190 (0.296)	Data 0.139 (0.227)	Loss 3.1610 (3.0961)	Prec@1 25.000 (28.125)	Prec@5 58.203 (57.622)
Epoch: [45][50/7045]	Time 0.168 (0.283)	Data 0.116 (0.216)	Loss 2.8280 (3.0785)	Prec@1 35.938 (28.347)	Prec@5 62.891 (58.111)
Epoch: [45][60/7045]	Time 0.111 (0.279)	Data 0.060 (0.215)	Loss 2.9833 (3.0815)	Prec@1 29.688 (28.381)	Prec@5 58.203 (57.864)
Epoch: [45][70/7045]	Time 0.241 (0.273)	Data 0.188 (0.209)	Loss 3.0222 (3.0931)	Prec@1 30.078 (28.323)	Prec@5 57.812 (57.581)
Epoch: [45][80/7045]	Time 0.101 (0.273)	Data 0.007 (0.208)	Loss 3.1127 (3.0965)	Prec@1 27.734 (28.303)	Prec@5 56.641 (57.538)
Epoch: [45][90/7045]	Time 0.102 (0.267)	Data 0.003 (0.202)	Loss 2.8661 (3.0999)	Prec@1 29.688 (28.327)	Prec@5 59.766 (57.456)
Epoch: [45][100/7045]	Time 0.204 (0.268)	Data 0.152 (0.203)	Loss 3.1010 (3.1004)	Prec@1 29.688 (28.411)	Prec@5 59.375 (57.414)
Epoch: [45][110/7045]	Time 0.114 (0.264)	Data 0.062 (0.200)	Loss 3.0580 (3.1034)	Prec@1 31.250 (28.509)	Prec@5 58.984 (57.373)
Epoch: [45][120/7045]	Time 0.508 (0.266)	Data 0.456 (0.202)	Loss 3.2063 (3.1060)	Prec@1 26.562 (28.458)	Prec@5 55.078 (57.306)
Epoch: [45][130/7045]	Time 0.102 (0.262)	Data 0.050 (0.198)	Loss 2.8971 (3.1047)	Prec@1 37.500 (28.483)	Prec@5 63.281 (57.380)
Epoch: [45][140/7045]	Time 0.538 (0.263)	Data 0.480 (0.199)	Loss 3.1300 (3.1057)	Prec@1 26.953 (28.488)	Prec@5 54.297 (57.267)
Epoch: [45][150/7045]	Time 0.246 (0.261)	Data 0.195 (0.197)	Loss 3.1724 (3.1050)	Prec@1 29.297 (28.570)	Prec@5 59.375 (57.360)
Epoch: [45][160/7045]	Time 0.257 (0.260)	Data 0.205 (0.198)	Loss 3.1616 (3.1081)	Prec@1 29.688 (28.574)	Prec@5 57.422 (57.322)
Epoch: [45][170/7045]	Time 0.102 (0.260)	Data 0.001 (0.197)	Loss 3.1147 (3.1108)	Prec@1 29.297 (28.550)	Prec@5 58.594 (57.319)
Epoch: [45][180/7045]	Time 0.102 (0.259)	Data 0.001 (0.197)	Loss 3.0584 (3.1131)	Prec@1 26.953 (28.531)	Prec@5 55.469 (57.228)
Epoch: [45][190/7045]	Time 0.255 (0.258)	Data 0.203 (0.196)	Loss 3.0972 (3.1145)	Prec@1 25.000 (28.467)	Prec@5 58.203 (57.168)
Epoch: [45][200/7045]	Time 0.208 (0.258)	Data 0.158 (0.196)	Loss 3.0381 (3.1143)	Prec@1 32.812 (28.483)	Prec@5 60.547 (57.158)
Epoch: [45][210/7045]	Time 0.202 (0.257)	Data 0.152 (0.195)	Loss 2.9185 (3.1159)	Prec@1 31.250 (28.408)	Prec@5 62.500 (57.089)
Epoch: [45][220/7045]	Time 0.102 (0.257)	Data 0.005 (0.195)	Loss 3.2855 (3.1151)	Prec@1 29.297 (28.376)	Prec@5 51.562 (57.097)
Epoch: [45][230/7045]	Time 0.128 (0.257)	Data 0.077 (0.195)	Loss 3.0698 (3.1152)	Prec@1 28.906 (28.407)	Prec@5 58.203 (57.087)
Epoch: [45][240/7045]	Time 0.249 (0.257)	Data 0.198 (0.195)	Loss 3.0665 (3.1141)	Prec@1 26.562 (28.446)	Prec@5 56.641 (57.083)
Epoch: [45][250/7045]	Time 0.358 (0.257)	Data 0.306 (0.196)	Loss 3.1467 (3.1163)	Prec@1 28.516 (28.400)	Prec@5 57.812 (57.050)
Epoch: [45][260/7045]	Time 0.597 (0.257)	Data 0.545 (0.196)	Loss 3.2322 (3.1162)	Prec@1 27.734 (28.373)	Prec@5 54.297 (57.046)
Epoch: [45][270/7045]	Time 0.198 (0.257)	Data 0.146 (0.195)	Loss 3.3764 (3.1192)	Prec@1 25.000 (28.334)	Prec@5 53.125 (57.024)
Epoch: [45][280/7045]	Time 0.456 (0.257)	Data 0.394 (0.196)	Loss 3.2788 (3.1197)	Prec@1 23.047 (28.338)	Prec@5 52.734 (57.013)
Epoch: [45][290/7045]	Time 0.409 (0.257)	Data 0.358 (0.196)	Loss 2.9201 (3.1229)	Prec@1 34.375 (28.300)	Prec@5 60.156 (56.921)
Epoch: [45][300/7045]	Time 0.263 (0.256)	Data 0.211 (0.196)	Loss 3.2310 (3.1238)	Prec@1 27.344 (28.269)	Prec@5 55.078 (56.901)
Epoch: [45][310/7045]	Time 0.431 (0.256)	Data 0.380 (0.196)	Loss 3.3554 (3.1252)	Prec@1 23.828 (28.278)	Prec@5 52.344 (56.858)
Epoch: [45][320/7045]	Time 0.102 (0.256)	Data 0.047 (0.196)	Loss 3.1292 (3.1264)	Prec@1 31.250 (28.273)	Prec@5 60.156 (56.835)
Epoch: [45][330/7045]	Time 0.290 (0.256)	Data 0.238 (0.195)	Loss 3.0673 (3.1262)	Prec@1 30.469 (28.315)	Prec@5 60.547 (56.831)
Epoch: [45][340/7045]	Time 0.303 (0.256)	Data 0.252 (0.195)	Loss 3.2093 (3.1264)	Prec@1 26.172 (28.303)	Prec@5 57.422 (56.848)
Epoch: [45][350/7045]	Time 0.143 (0.255)	Data 0.091 (0.195)	Loss 3.1250 (3.1244)	Prec@1 28.516 (28.336)	Prec@5 57.031 (56.917)
Epoch: [45][360/7045]	Time 0.450 (0.255)	Data 0.399 (0.195)	Loss 3.0449 (3.1242)	Prec@1 27.734 (28.333)	Prec@5 59.766 (56.896)
Epoch: [45][370/7045]	Time 0.234 (0.255)	Data 0.183 (0.195)	Loss 3.2028 (3.1248)	Prec@1 22.656 (28.305)	Prec@5 56.641 (56.879)
Epoch: [45][380/7045]	Time 0.135 (0.255)	Data 0.083 (0.195)	Loss 3.0988 (3.1242)	Prec@1 26.953 (28.313)	Prec@5 54.688 (56.865)
Epoch: [45][390/7045]	Time 0.102 (0.255)	Data 0.001 (0.195)	Loss 3.2372 (3.1246)	Prec@1 27.734 (28.294)	Prec@5 52.344 (56.865)
Epoch: [45][400/7045]	Time 0.492 (0.255)	Data 0.442 (0.195)	Loss 3.0933 (3.1238)	Prec@1 26.172 (28.288)	Prec@5 56.250 (56.866)
Epoch: [45][410/7045]	Time 0.245 (0.255)	Data 0.193 (0.195)	Loss 3.1740 (3.1232)	Prec@1 28.516 (28.320)	Prec@5 58.203 (56.901)
Epoch: [45][420/7045]	Time 0.102 (0.255)	Data 0.005 (0.195)	Loss 3.0624 (3.1236)	Prec@1 32.422 (28.319)	Prec@5 57.031 (56.903)
Epoch: [45][430/7045]	Time 0.103 (0.255)	Data 0.001 (0.195)	Loss 3.1775 (3.1236)	Prec@1 28.125 (28.332)	Prec@5 55.469 (56.903)
Epoch: [45][440/7045]	Time 0.160 (0.255)	Data 0.109 (0.195)	Loss 2.7986 (3.1226)	Prec@1 35.938 (28.364)	Prec@5 63.672 (56.920)
Epoch: [45][450/7045]	Time 0.575 (0.255)	Data 0.523 (0.195)	Loss 3.0723 (3.1221)	Prec@1 30.469 (28.368)	Prec@5 57.812 (56.916)
Epoch: [45][460/7045]	Time 0.101 (0.255)	Data 0.001 (0.194)	Loss 3.0306 (3.1217)	Prec@1 32.031 (28.377)	Prec@5 58.594 (56.909)
Epoch: [45][470/7045]	Time 0.359 (0.255)	Data 0.308 (0.194)	Loss 3.0038 (3.1202)	Prec@1 32.031 (28.391)	Prec@5 58.984 (56.943)
Epoch: [45][480/7045]	Time 0.441 (0.255)	Data 0.390 (0.195)	Loss 3.3026 (3.1207)	Prec@1 25.781 (28.390)	Prec@5 50.781 (56.922)
Epoch: [45][490/7045]	Time 0.102 (0.255)	Data 0.047 (0.194)	Loss 2.9980 (3.1211)	Prec@1 30.078 (28.380)	Prec@5 60.156 (56.910)
Epoch: [45][500/7045]	Time 0.589 (0.255)	Data 0.537 (0.195)	Loss 3.1351 (3.1213)	Prec@1 25.781 (28.385)	Prec@5 56.641 (56.887)
Epoch: [45][510/7045]	Time 0.113 (0.254)	Data 0.052 (0.194)	Loss 3.2012 (3.1208)	Prec@1 26.172 (28.371)	Prec@5 53.906 (56.895)
Epoch: [45][520/7045]	Time 0.422 (0.255)	Data 0.371 (0.194)	Loss 3.1518 (3.1213)	Prec@1 26.953 (28.360)	Prec@5 56.641 (56.889)
Epoch: [45][530/7045]	Time 0.110 (0.254)	Data 0.059 (0.194)	Loss 3.0632 (3.1209)	Prec@1 29.297 (28.342)	Prec@5 56.641 (56.889)
Epoch: [45][540/7045]	Time 0.114 (0.254)	Data 0.063 (0.194)	Loss 3.1713 (3.1200)	Prec@1 27.344 (28.364)	Prec@5 57.812 (56.915)
Epoch: [45][550/7045]	Time 0.528 (0.255)	Data 0.476 (0.194)	Loss 2.9235 (3.1196)	Prec@1 33.203 (28.385)	Prec@5 62.109 (56.921)
Epoch: [45][560/7045]	Time 0.418 (0.255)	Data 0.366 (0.194)	Loss 3.0598 (3.1202)	Prec@1 28.906 (28.373)	Prec@5 58.984 (56.922)
Epoch: [45][570/7045]	Time 0.311 (0.254)	Data 0.253 (0.194)	Loss 3.2609 (3.1204)	Prec@1 25.781 (28.373)	Prec@5 56.250 (56.916)
Epoch: [45][580/7045]	Time 0.476 (0.254)	Data 0.425 (0.194)	Loss 3.0263 (3.1206)	Prec@1 30.469 (28.377)	Prec@5 57.031 (56.910)
Epoch: [45][590/7045]	Time 0.104 (0.254)	Data 0.052 (0.193)	Loss 3.1701 (3.1198)	Prec@1 30.859 (28.411)	Prec@5 55.859 (56.931)
Epoch: [45][600/7045]	Time 0.456 (0.254)	Data 0.406 (0.194)	Loss 3.3151 (3.1212)	Prec@1 21.484 (28.382)	Prec@5 54.297 (56.909)
Epoch: [45][610/7045]	Time 0.101 (0.254)	Data 0.009 (0.193)	Loss 2.8970 (3.1199)	Prec@1 34.766 (28.399)	Prec@5 62.500 (56.936)
Epoch: [45][620/7045]	Time 0.581 (0.254)	Data 0.528 (0.193)	Loss 3.1132 (3.1196)	Prec@1 28.516 (28.400)	Prec@5 58.594 (56.935)
Epoch: [45][630/7045]	Time 0.108 (0.253)	Data 0.007 (0.193)	Loss 3.2190 (3.1197)	Prec@1 29.297 (28.387)	Prec@5 57.422 (56.930)
Epoch: [45][640/7045]	Time 0.615 (0.253)	Data 0.563 (0.193)	Loss 3.1030 (3.1218)	Prec@1 28.125 (28.359)	Prec@5 55.078 (56.892)
Epoch: [45][650/7045]	Time 0.215 (0.253)	Data 0.163 (0.193)	Loss 3.2141 (3.1211)	Prec@1 25.391 (28.363)	Prec@5 58.203 (56.913)
Epoch: [45][660/7045]	Time 0.379 (0.253)	Data 0.328 (0.193)	Loss 2.8942 (3.1207)	Prec@1 32.031 (28.366)	Prec@5 61.719 (56.937)
Epoch: [45][670/7045]	Time 0.281 (0.253)	Data 0.230 (0.193)	Loss 3.0602 (3.1210)	Prec@1 29.688 (28.364)	Prec@5 58.203 (56.919)
Epoch: [45][680/7045]	Time 0.103 (0.253)	Data 0.050 (0.193)	Loss 3.0696 (3.1206)	Prec@1 29.688 (28.366)	Prec@5 60.156 (56.938)
Epoch: [45][690/7045]	Time 0.108 (0.252)	Data 0.055 (0.192)	Loss 3.0285 (3.1204)	Prec@1 30.078 (28.374)	Prec@5 57.812 (56.937)
Epoch: [45][700/7045]	Time 0.108 (0.253)	Data 0.003 (0.192)	Loss 3.1722 (3.1201)	Prec@1 29.688 (28.373)	Prec@5 53.516 (56.937)
Epoch: [45][710/7045]	Time 0.253 (0.252)	Data 0.202 (0.192)	Loss 3.3395 (3.1210)	Prec@1 19.922 (28.358)	Prec@5 52.734 (56.928)
Epoch: [45][720/7045]	Time 0.101 (0.252)	Data 0.003 (0.192)	Loss 3.1262 (3.1204)	Prec@1 28.906 (28.365)	Prec@5 55.859 (56.932)
Epoch: [45][730/7045]	Time 0.190 (0.252)	Data 0.140 (0.191)	Loss 3.2796 (3.1213)	Prec@1 27.734 (28.343)	Prec@5 53.125 (56.923)
Epoch: [45][740/7045]	Time 0.162 (0.252)	Data 0.111 (0.191)	Loss 3.1180 (3.1215)	Prec@1 32.031 (28.338)	Prec@5 59.375 (56.912)
Epoch: [45][750/7045]	Time 0.231 (0.252)	Data 0.179 (0.191)	Loss 3.1256 (3.1217)	Prec@1 27.734 (28.335)	Prec@5 55.078 (56.901)
Epoch: [45][760/7045]	Time 0.112 (0.252)	Data 0.058 (0.191)	Loss 3.2005 (3.1221)	Prec@1 24.609 (28.331)	Prec@5 57.031 (56.889)
Epoch: [45][770/7045]	Time 0.287 (0.252)	Data 0.236 (0.190)	Loss 3.1141 (3.1219)	Prec@1 24.609 (28.336)	Prec@5 53.906 (56.881)
Epoch: [45][780/7045]	Time 0.103 (0.251)	Data 0.007 (0.190)	Loss 3.1913 (3.1210)	Prec@1 25.000 (28.341)	Prec@5 57.812 (56.904)
Epoch: [45][790/7045]	Time 0.207 (0.252)	Data 0.155 (0.191)	Loss 3.1563 (3.1210)	Prec@1 28.906 (28.343)	Prec@5 54.297 (56.900)
Epoch: [45][800/7045]	Time 0.192 (0.251)	Data 0.141 (0.190)	Loss 3.4299 (3.1217)	Prec@1 21.484 (28.335)	Prec@5 52.734 (56.897)
Epoch: [45][810/7045]	Time 0.177 (0.251)	Data 0.127 (0.190)	Loss 3.0850 (3.1221)	Prec@1 30.469 (28.327)	Prec@5 58.203 (56.895)
Epoch: [45][820/7045]	Time 0.115 (0.251)	Data 0.064 (0.190)	Loss 2.8240 (3.1215)	Prec@1 34.766 (28.343)	Prec@5 64.453 (56.908)
Epoch: [45][830/7045]	Time 0.101 (0.251)	Data 0.044 (0.190)	Loss 3.2287 (3.1212)	Prec@1 25.000 (28.348)	Prec@5 52.344 (56.905)
Epoch: [45][840/7045]	Time 0.117 (0.251)	Data 0.065 (0.190)	Loss 3.2515 (3.1211)	Prec@1 23.047 (28.344)	Prec@5 53.516 (56.916)
Epoch: [45][850/7045]	Time 0.102 (0.251)	Data 0.009 (0.190)	Loss 2.9997 (3.1212)	Prec@1 32.422 (28.346)	Prec@5 62.500 (56.912)
Epoch: [45][860/7045]	Time 0.118 (0.251)	Data 0.065 (0.190)	Loss 2.8972 (3.1210)	Prec@1 33.203 (28.351)	Prec@5 62.109 (56.909)
Epoch: [45][870/7045]	Time 0.102 (0.251)	Data 0.005 (0.190)	Loss 3.1562 (3.1214)	Prec@1 28.516 (28.351)	Prec@5 59.375 (56.895)
Epoch: [45][880/7045]	Time 0.113 (0.251)	Data 0.060 (0.190)	Loss 3.1357 (3.1218)	Prec@1 29.688 (28.352)	Prec@5 58.594 (56.888)
Epoch: [45][890/7045]	Time 0.103 (0.251)	Data 0.001 (0.190)	Loss 3.2708 (3.1216)	Prec@1 24.609 (28.344)	Prec@5 55.469 (56.895)
Epoch: [45][900/7045]	Time 0.239 (0.251)	Data 0.187 (0.190)	Loss 3.3652 (3.1231)	Prec@1 25.000 (28.331)	Prec@5 51.172 (56.874)
Epoch: [45][910/7045]	Time 0.400 (0.251)	Data 0.349 (0.190)	Loss 3.2377 (3.1232)	Prec@1 24.219 (28.329)	Prec@5 51.953 (56.886)
Epoch: [45][920/7045]	Time 0.123 (0.251)	Data 0.072 (0.190)	Loss 3.3093 (3.1239)	Prec@1 27.344 (28.313)	Prec@5 52.344 (56.876)
Epoch: [45][930/7045]	Time 0.497 (0.251)	Data 0.441 (0.190)	Loss 2.9981 (3.1239)	Prec@1 29.688 (28.325)	Prec@5 58.984 (56.879)
Epoch: [45][940/7045]	Time 0.186 (0.251)	Data 0.136 (0.190)	Loss 3.0122 (3.1240)	Prec@1 32.422 (28.327)	Prec@5 61.328 (56.869)
Epoch: [45][950/7045]	Time 0.325 (0.251)	Data 0.274 (0.190)	Loss 3.0386 (3.1237)	Prec@1 26.953 (28.335)	Prec@5 58.594 (56.878)
Epoch: [45][960/7045]	Time 0.101 (0.251)	Data 0.007 (0.190)	Loss 2.9893 (3.1246)	Prec@1 27.344 (28.311)	Prec@5 58.984 (56.861)
Epoch: [45][970/7045]	Time 0.129 (0.251)	Data 0.077 (0.190)	Loss 3.1164 (3.1248)	Prec@1 30.078 (28.318)	Prec@5 59.375 (56.857)
Epoch: [45][980/7045]	Time 0.099 (0.251)	Data 0.047 (0.190)	Loss 3.0057 (3.1248)	Prec@1 35.156 (28.324)	Prec@5 61.328 (56.854)
Epoch: [45][990/7045]	Time 0.170 (0.251)	Data 0.118 (0.190)	Loss 2.9202 (3.1245)	Prec@1 32.422 (28.331)	Prec@5 59.766 (56.852)
Epoch: [45][1000/7045]	Time 0.104 (0.251)	Data 0.053 (0.190)	Loss 3.0543 (3.1244)	Prec@1 29.297 (28.327)	Prec@5 58.594 (56.854)
Epoch: [45][1010/7045]	Time 0.278 (0.251)	Data 0.226 (0.190)	Loss 3.3799 (3.1248)	Prec@1 23.438 (28.312)	Prec@5 51.562 (56.843)
Epoch: [45][1020/7045]	Time 0.104 (0.251)	Data 0.053 (0.190)	Loss 3.0860 (3.1249)	Prec@1 28.516 (28.306)	Prec@5 59.375 (56.846)
Epoch: [45][1030/7045]	Time 0.217 (0.251)	Data 0.164 (0.190)	Loss 3.0962 (3.1251)	Prec@1 26.172 (28.303)	Prec@5 57.812 (56.844)
Epoch: [45][1040/7045]	Time 0.102 (0.251)	Data 0.007 (0.190)	Loss 3.1267 (3.1254)	Prec@1 28.125 (28.299)	Prec@5 55.078 (56.835)
Epoch: [45][1050/7045]	Time 0.183 (0.251)	Data 0.130 (0.190)	Loss 3.2285 (3.1259)	Prec@1 25.781 (28.287)	Prec@5 55.859 (56.823)
Epoch: [45][1060/7045]	Time 0.102 (0.251)	Data 0.047 (0.190)	Loss 3.3424 (3.1264)	Prec@1 25.781 (28.280)	Prec@5 53.125 (56.810)
Epoch: [45][1070/7045]	Time 0.131 (0.250)	Data 0.080 (0.190)	Loss 2.8350 (3.1257)	Prec@1 31.641 (28.295)	Prec@5 61.719 (56.827)
Epoch: [45][1080/7045]	Time 0.378 (0.251)	Data 0.326 (0.190)	Loss 3.0071 (3.1253)	Prec@1 23.828 (28.297)	Prec@5 60.156 (56.846)
Epoch: [45][1090/7045]	Time 0.102 (0.250)	Data 0.001 (0.190)	Loss 2.9805 (3.1249)	Prec@1 33.203 (28.298)	Prec@5 57.422 (56.856)
Epoch: [45][1100/7045]	Time 0.462 (0.251)	Data 0.412 (0.190)	Loss 3.0185 (3.1241)	Prec@1 33.594 (28.317)	Prec@5 59.766 (56.867)
Epoch: [45][1110/7045]	Time 0.101 (0.250)	Data 0.007 (0.190)	Loss 3.0896 (3.1243)	Prec@1 33.594 (28.309)	Prec@5 62.109 (56.865)
Epoch: [45][1120/7045]	Time 0.287 (0.250)	Data 0.235 (0.190)	Loss 2.9761 (3.1239)	Prec@1 28.906 (28.305)	Prec@5 61.328 (56.874)
Epoch: [45][1130/7045]	Time 0.103 (0.250)	Data 0.002 (0.190)	Loss 3.0299 (3.1243)	Prec@1 30.859 (28.304)	Prec@5 58.984 (56.860)
Epoch: [45][1140/7045]	Time 0.101 (0.250)	Data 0.006 (0.190)	Loss 3.0948 (3.1241)	Prec@1 26.172 (28.304)	Prec@5 58.594 (56.858)
Epoch: [45][1150/7045]	Time 0.288 (0.250)	Data 0.237 (0.190)	Loss 3.1981 (3.1240)	Prec@1 29.297 (28.302)	Prec@5 55.859 (56.863)
Epoch: [45][1160/7045]	Time 0.102 (0.250)	Data 0.049 (0.190)	Loss 3.0711 (3.1242)	Prec@1 28.125 (28.294)	Prec@5 53.906 (56.855)
Epoch: [45][1170/7045]	Time 0.429 (0.250)	Data 0.378 (0.190)	Loss 3.1093 (3.1243)	Prec@1 27.734 (28.295)	Prec@5 55.859 (56.856)
Epoch: [45][1180/7045]	Time 0.120 (0.250)	Data 0.069 (0.190)	Loss 3.1649 (3.1243)	Prec@1 30.859 (28.295)	Prec@5 55.078 (56.859)
Epoch: [45][1190/7045]	Time 0.557 (0.250)	Data 0.505 (0.190)	Loss 2.9836 (3.1244)	Prec@1 30.078 (28.298)	Prec@5 58.594 (56.858)
Epoch: [45][1200/7045]	Time 0.102 (0.250)	Data 0.001 (0.190)	Loss 3.1098 (3.1245)	Prec@1 26.953 (28.299)	Prec@5 55.859 (56.862)
Epoch: [45][1210/7045]	Time 0.613 (0.250)	Data 0.562 (0.190)	Loss 3.2171 (3.1245)	Prec@1 28.516 (28.302)	Prec@5 57.422 (56.859)
Epoch: [45][1220/7045]	Time 0.141 (0.250)	Data 0.089 (0.190)	Loss 2.9847 (3.1247)	Prec@1 30.859 (28.299)	Prec@5 57.031 (56.846)
Epoch: [45][1230/7045]	Time 0.454 (0.250)	Data 0.403 (0.190)	Loss 3.1362 (3.1245)	Prec@1 25.000 (28.298)	Prec@5 57.031 (56.845)
Epoch: [45][1240/7045]	Time 0.292 (0.250)	Data 0.242 (0.190)	Loss 3.1374 (3.1248)	Prec@1 26.953 (28.296)	Prec@5 55.078 (56.832)
Epoch: [45][1250/7045]	Time 0.108 (0.250)	Data 0.056 (0.190)	Loss 2.9231 (3.1247)	Prec@1 30.469 (28.301)	Prec@5 62.891 (56.832)
Epoch: [45][1260/7045]	Time 0.261 (0.250)	Data 0.209 (0.190)	Loss 2.9387 (3.1242)	Prec@1 28.906 (28.316)	Prec@5 58.594 (56.842)
Epoch: [45][1270/7045]	Time 0.136 (0.250)	Data 0.084 (0.190)	Loss 3.0957 (3.1243)	Prec@1 27.344 (28.314)	Prec@5 59.766 (56.834)
Epoch: [45][1280/7045]	Time 0.277 (0.250)	Data 0.224 (0.190)	Loss 3.0559 (3.1240)	Prec@1 30.469 (28.316)	Prec@5 58.594 (56.842)
Epoch: [45][1290/7045]	Time 0.188 (0.250)	Data 0.135 (0.190)	Loss 3.2406 (3.1240)	Prec@1 23.047 (28.319)	Prec@5 55.469 (56.839)
Epoch: [45][1300/7045]	Time 0.102 (0.250)	Data 0.008 (0.190)	Loss 3.0504 (3.1242)	Prec@1 32.031 (28.311)	Prec@5 59.766 (56.844)
Epoch: [45][1310/7045]	Time 0.185 (0.250)	Data 0.133 (0.190)	Loss 3.0687 (3.1243)	Prec@1 27.734 (28.310)	Prec@5 60.547 (56.834)
Epoch: [45][1320/7045]	Time 0.101 (0.250)	Data 0.001 (0.190)	Loss 2.9313 (3.1243)	Prec@1 30.859 (28.306)	Prec@5 61.719 (56.829)
Epoch: [45][1330/7045]	Time 0.260 (0.250)	Data 0.204 (0.190)	Loss 2.9903 (3.1243)	Prec@1 31.250 (28.313)	Prec@5 61.328 (56.833)
Epoch: [45][1340/7045]	Time 0.102 (0.250)	Data 0.002 (0.189)	Loss 2.9824 (3.1242)	Prec@1 30.469 (28.315)	Prec@5 61.328 (56.827)
Epoch: [45][1350/7045]	Time 0.110 (0.250)	Data 0.059 (0.189)	Loss 3.3224 (3.1245)	Prec@1 24.609 (28.308)	Prec@5 56.250 (56.820)
Epoch: [45][1360/7045]	Time 0.102 (0.250)	Data 0.005 (0.189)	Loss 3.1065 (3.1247)	Prec@1 33.203 (28.301)	Prec@5 56.641 (56.810)
Epoch: [45][1370/7045]	Time 0.239 (0.250)	Data 0.188 (0.189)	Loss 3.0883 (3.1250)	Prec@1 26.953 (28.295)	Prec@5 59.375 (56.806)
Epoch: [45][1380/7045]	Time 0.101 (0.250)	Data 0.001 (0.189)	Loss 3.1163 (3.1254)	Prec@1 28.516 (28.279)	Prec@5 56.250 (56.798)
Epoch: [45][1390/7045]	Time 0.451 (0.250)	Data 0.392 (0.189)	Loss 3.0176 (3.1257)	Prec@1 28.516 (28.276)	Prec@5 57.031 (56.794)
Epoch: [45][1400/7045]	Time 0.102 (0.250)	Data 0.002 (0.189)	Loss 3.0799 (3.1258)	Prec@1 28.906 (28.266)	Prec@5 57.031 (56.792)
Epoch: [45][1410/7045]	Time 0.417 (0.250)	Data 0.367 (0.189)	Loss 2.8212 (3.1259)	Prec@1 34.766 (28.270)	Prec@5 61.719 (56.788)
Epoch: [45][1420/7045]	Time 0.180 (0.250)	Data 0.128 (0.189)	Loss 3.0321 (3.1256)	Prec@1 27.734 (28.267)	Prec@5 58.594 (56.794)
Epoch: [45][1430/7045]	Time 0.295 (0.250)	Data 0.245 (0.189)	Loss 3.0698 (3.1256)	Prec@1 26.953 (28.266)	Prec@5 56.250 (56.797)
Epoch: [45][1440/7045]	Time 0.106 (0.250)	Data 0.054 (0.189)	Loss 3.1166 (3.1253)	Prec@1 26.172 (28.272)	Prec@5 53.125 (56.796)
Epoch: [45][1450/7045]	Time 0.454 (0.250)	Data 0.397 (0.189)	Loss 3.2170 (3.1257)	Prec@1 25.781 (28.266)	Prec@5 55.859 (56.791)
Epoch: [45][1460/7045]	Time 0.149 (0.249)	Data 0.097 (0.189)	Loss 3.2067 (3.1250)	Prec@1 24.219 (28.274)	Prec@5 55.469 (56.801)
Epoch: [45][1470/7045]	Time 0.490 (0.250)	Data 0.430 (0.189)	Loss 3.0291 (3.1250)	Prec@1 28.125 (28.274)	Prec@5 58.984 (56.803)
Epoch: [45][1480/7045]	Time 0.130 (0.249)	Data 0.078 (0.189)	Loss 3.0950 (3.1248)	Prec@1 27.344 (28.272)	Prec@5 58.203 (56.810)
Epoch: [45][1490/7045]	Time 0.483 (0.250)	Data 0.431 (0.189)	Loss 3.2043 (3.1250)	Prec@1 28.516 (28.271)	Prec@5 56.641 (56.809)
Epoch: [45][1500/7045]	Time 0.188 (0.249)	Data 0.138 (0.189)	Loss 3.2434 (3.1252)	Prec@1 27.344 (28.273)	Prec@5 55.469 (56.807)
Epoch: [45][1510/7045]	Time 0.476 (0.249)	Data 0.418 (0.189)	Loss 3.0893 (3.1248)	Prec@1 28.125 (28.280)	Prec@5 56.641 (56.805)
Epoch: [45][1520/7045]	Time 0.151 (0.249)	Data 0.099 (0.189)	Loss 3.1576 (3.1250)	Prec@1 26.172 (28.280)	Prec@5 55.078 (56.808)
Epoch: [45][1530/7045]	Time 0.491 (0.249)	Data 0.440 (0.189)	Loss 3.0053 (3.1252)	Prec@1 30.078 (28.278)	Prec@5 58.594 (56.797)
Epoch: [45][1540/7045]	Time 0.134 (0.249)	Data 0.083 (0.189)	Loss 3.1002 (3.1252)	Prec@1 26.172 (28.277)	Prec@5 58.594 (56.799)
Epoch: [45][1550/7045]	Time 0.428 (0.249)	Data 0.377 (0.189)	Loss 3.1300 (3.1252)	Prec@1 28.516 (28.277)	Prec@5 55.859 (56.794)
Epoch: [45][1560/7045]	Time 0.139 (0.249)	Data 0.088 (0.189)	Loss 3.1340 (3.1255)	Prec@1 26.562 (28.270)	Prec@5 57.031 (56.788)
Epoch: [45][1570/7045]	Time 0.304 (0.249)	Data 0.253 (0.189)	Loss 3.1184 (3.1255)	Prec@1 28.906 (28.266)	Prec@5 53.516 (56.774)
Epoch: [45][1580/7045]	Time 0.280 (0.249)	Data 0.229 (0.189)	Loss 3.2392 (3.1256)	Prec@1 26.953 (28.262)	Prec@5 53.906 (56.773)
Epoch: [45][1590/7045]	Time 0.142 (0.249)	Data 0.091 (0.189)	Loss 3.0705 (3.1259)	Prec@1 29.688 (28.264)	Prec@5 57.422 (56.765)
Epoch: [45][1600/7045]	Time 0.386 (0.249)	Data 0.335 (0.189)	Loss 3.1159 (3.1262)	Prec@1 27.734 (28.254)	Prec@5 54.688 (56.758)
Epoch: [45][1610/7045]	Time 0.104 (0.249)	Data 0.052 (0.189)	Loss 2.9073 (3.1258)	Prec@1 36.719 (28.260)	Prec@5 60.547 (56.761)
Epoch: [45][1620/7045]	Time 0.473 (0.249)	Data 0.419 (0.189)	Loss 3.0842 (3.1260)	Prec@1 28.125 (28.254)	Prec@5 55.078 (56.761)
Epoch: [45][1630/7045]	Time 0.207 (0.249)	Data 0.148 (0.189)	Loss 3.2084 (3.1263)	Prec@1 24.219 (28.247)	Prec@5 53.516 (56.758)
Epoch: [45][1640/7045]	Time 0.102 (0.249)	Data 0.001 (0.189)	Loss 3.2793 (3.1262)	Prec@1 25.391 (28.250)	Prec@5 54.297 (56.764)
Epoch: [45][1650/7045]	Time 0.162 (0.249)	Data 0.110 (0.189)	Loss 3.1943 (3.1265)	Prec@1 27.344 (28.244)	Prec@5 58.984 (56.758)
Epoch: [45][1660/7045]	Time 0.214 (0.249)	Data 0.163 (0.189)	Loss 3.0995 (3.1264)	Prec@1 27.344 (28.252)	Prec@5 59.375 (56.762)
Epoch: [45][1670/7045]	Time 0.471 (0.249)	Data 0.420 (0.189)	Loss 3.1029 (3.1264)	Prec@1 31.641 (28.251)	Prec@5 59.375 (56.758)
Epoch: [45][1680/7045]	Time 0.106 (0.249)	Data 0.054 (0.189)	Loss 2.9442 (3.1266)	Prec@1 33.203 (28.241)	Prec@5 60.938 (56.760)
Epoch: [45][1690/7045]	Time 0.539 (0.249)	Data 0.488 (0.189)	Loss 3.0309 (3.1263)	Prec@1 30.078 (28.245)	Prec@5 61.719 (56.773)
Epoch: [45][1700/7045]	Time 0.288 (0.249)	Data 0.237 (0.189)	Loss 3.0162 (3.1263)	Prec@1 28.516 (28.250)	Prec@5 57.031 (56.775)
Epoch: [45][1710/7045]	Time 0.101 (0.249)	Data 0.049 (0.189)	Loss 2.9219 (3.1263)	Prec@1 29.688 (28.252)	Prec@5 61.719 (56.774)
Epoch: [45][1720/7045]	Time 0.277 (0.249)	Data 0.226 (0.189)	Loss 3.1130 (3.1261)	Prec@1 27.344 (28.254)	Prec@5 58.203 (56.774)
Epoch: [45][1730/7045]	Time 0.101 (0.249)	Data 0.049 (0.189)	Loss 3.1402 (3.1264)	Prec@1 30.078 (28.246)	Prec@5 54.688 (56.763)
Epoch: [45][1740/7045]	Time 0.254 (0.249)	Data 0.203 (0.189)	Loss 3.1862 (3.1260)	Prec@1 23.438 (28.254)	Prec@5 57.812 (56.769)
Epoch: [45][1750/7045]	Time 0.355 (0.249)	Data 0.302 (0.189)	Loss 3.2966 (3.1262)	Prec@1 23.438 (28.251)	Prec@5 51.953 (56.764)
Epoch: [45][1760/7045]	Time 0.112 (0.249)	Data 0.001 (0.189)	Loss 3.0000 (3.1260)	Prec@1 30.078 (28.251)	Prec@5 56.250 (56.768)
Epoch: [45][1770/7045]	Time 0.525 (0.249)	Data 0.474 (0.189)	Loss 3.1670 (3.1264)	Prec@1 32.422 (28.246)	Prec@5 58.203 (56.758)
Epoch: [45][1780/7045]	Time 0.100 (0.249)	Data 0.006 (0.189)	Loss 2.9671 (3.1264)	Prec@1 31.641 (28.246)	Prec@5 58.984 (56.762)
Epoch: [45][1790/7045]	Time 0.102 (0.249)	Data 0.007 (0.189)	Loss 3.1009 (3.1262)	Prec@1 26.953 (28.250)	Prec@5 57.812 (56.768)
Epoch: [45][1800/7045]	Time 0.331 (0.249)	Data 0.279 (0.189)	Loss 3.1560 (3.1260)	Prec@1 29.297 (28.257)	Prec@5 57.812 (56.773)
Epoch: [45][1810/7045]	Time 0.523 (0.250)	Data 0.471 (0.189)	Loss 3.4070 (3.1259)	Prec@1 26.172 (28.263)	Prec@5 53.125 (56.778)
Epoch: [45][1820/7045]	Time 0.234 (0.249)	Data 0.183 (0.189)	Loss 3.5002 (3.1262)	Prec@1 25.391 (28.263)	Prec@5 48.438 (56.777)
Epoch: [45][1830/7045]	Time 0.412 (0.250)	Data 0.360 (0.189)	Loss 3.1729 (3.1262)	Prec@1 30.078 (28.270)	Prec@5 57.422 (56.776)
Epoch: [45][1840/7045]	Time 0.101 (0.249)	Data 0.004 (0.189)	Loss 3.1003 (3.1265)	Prec@1 28.125 (28.264)	Prec@5 57.031 (56.765)
Epoch: [45][1850/7045]	Time 0.220 (0.250)	Data 0.162 (0.189)	Loss 3.0720 (3.1264)	Prec@1 27.734 (28.260)	Prec@5 58.203 (56.762)
Epoch: [45][1860/7045]	Time 0.160 (0.249)	Data 0.109 (0.189)	Loss 3.2045 (3.1266)	Prec@1 29.688 (28.259)	Prec@5 53.906 (56.760)
Epoch: [45][1870/7045]	Time 0.101 (0.250)	Data 0.005 (0.189)	Loss 3.2208 (3.1268)	Prec@1 29.688 (28.260)	Prec@5 56.641 (56.759)
Epoch: [45][1880/7045]	Time 0.273 (0.249)	Data 0.222 (0.189)	Loss 3.0636 (3.1269)	Prec@1 29.297 (28.262)	Prec@5 59.375 (56.761)
Epoch: [45][1890/7045]	Time 0.277 (0.250)	Data 0.226 (0.189)	Loss 3.0457 (3.1269)	Prec@1 30.078 (28.268)	Prec@5 58.984 (56.759)
Epoch: [45][1900/7045]	Time 0.103 (0.249)	Data 0.002 (0.189)	Loss 3.1411 (3.1272)	Prec@1 30.078 (28.261)	Prec@5 52.734 (56.749)
Epoch: [45][1910/7045]	Time 0.409 (0.250)	Data 0.358 (0.189)	Loss 3.1589 (3.1275)	Prec@1 30.859 (28.256)	Prec@5 51.953 (56.745)
Epoch: [45][1920/7045]	Time 0.102 (0.250)	Data 0.001 (0.189)	Loss 3.2515 (3.1273)	Prec@1 26.562 (28.259)	Prec@5 53.125 (56.749)
Epoch: [45][1930/7045]	Time 0.276 (0.250)	Data 0.219 (0.189)	Loss 3.2256 (3.1271)	Prec@1 24.609 (28.259)	Prec@5 55.469 (56.752)
Epoch: [45][1940/7045]	Time 0.103 (0.250)	Data 0.001 (0.189)	Loss 3.1410 (3.1272)	Prec@1 28.906 (28.258)	Prec@5 52.734 (56.743)
Epoch: [45][1950/7045]	Time 0.106 (0.250)	Data 0.002 (0.189)	Loss 3.1234 (3.1272)	Prec@1 30.859 (28.258)	Prec@5 57.031 (56.747)
Epoch: [45][1960/7045]	Time 0.339 (0.250)	Data 0.288 (0.189)	Loss 3.1195 (3.1273)	Prec@1 28.516 (28.253)	Prec@5 57.812 (56.748)
Epoch: [45][1970/7045]	Time 0.114 (0.250)	Data 0.057 (0.189)	Loss 3.2295 (3.1273)	Prec@1 23.438 (28.253)	Prec@5 55.859 (56.750)
Epoch: [45][1980/7045]	Time 0.608 (0.250)	Data 0.551 (0.189)	Loss 2.9876 (3.1270)	Prec@1 30.469 (28.257)	Prec@5 57.422 (56.758)
Epoch: [45][1990/7045]	Time 0.103 (0.249)	Data 0.050 (0.189)	Loss 3.2647 (3.1268)	Prec@1 29.688 (28.267)	Prec@5 55.078 (56.763)
Epoch: [45][2000/7045]	Time 0.439 (0.250)	Data 0.387 (0.189)	Loss 3.2294 (3.1264)	Prec@1 27.734 (28.273)	Prec@5 55.469 (56.769)
Epoch: [45][2010/7045]	Time 0.207 (0.249)	Data 0.156 (0.189)	Loss 3.3325 (3.1269)	Prec@1 24.219 (28.269)	Prec@5 55.078 (56.762)
Epoch: [45][2020/7045]	Time 0.154 (0.250)	Data 0.103 (0.189)	Loss 3.1818 (3.1269)	Prec@1 28.125 (28.268)	Prec@5 54.297 (56.760)
Epoch: [45][2030/7045]	Time 0.101 (0.249)	Data 0.046 (0.189)	Loss 3.0372 (3.1267)	Prec@1 28.906 (28.269)	Prec@5 58.594 (56.763)
Epoch: [45][2040/7045]	Time 0.138 (0.250)	Data 0.087 (0.189)	Loss 3.0014 (3.1265)	Prec@1 32.031 (28.277)	Prec@5 59.375 (56.766)
Epoch: [45][2050/7045]	Time 0.102 (0.249)	Data 0.001 (0.188)	Loss 3.0453 (3.1265)	Prec@1 29.688 (28.278)	Prec@5 56.641 (56.765)
Epoch: [45][2060/7045]	Time 0.253 (0.249)	Data 0.202 (0.188)	Loss 2.8875 (3.1261)	Prec@1 35.547 (28.285)	Prec@5 63.672 (56.776)
Epoch: [45][2070/7045]	Time 0.102 (0.249)	Data 0.001 (0.188)	Loss 3.1507 (3.1263)	Prec@1 26.562 (28.286)	Prec@5 57.422 (56.772)
Epoch: [45][2080/7045]	Time 0.342 (0.249)	Data 0.290 (0.188)	Loss 3.0755 (3.1264)	Prec@1 27.344 (28.286)	Prec@5 60.156 (56.771)
Epoch: [45][2090/7045]	Time 0.171 (0.249)	Data 0.119 (0.188)	Loss 2.9938 (3.1265)	Prec@1 32.422 (28.286)	Prec@5 56.641 (56.773)
Epoch: [45][2100/7045]	Time 0.364 (0.249)	Data 0.313 (0.188)	Loss 3.1667 (3.1264)	Prec@1 25.781 (28.287)	Prec@5 57.031 (56.775)
Epoch: [45][2110/7045]	Time 0.175 (0.249)	Data 0.124 (0.188)	Loss 3.0414 (3.1263)	Prec@1 29.688 (28.285)	Prec@5 60.938 (56.778)
Epoch: [45][2120/7045]	Time 0.212 (0.249)	Data 0.162 (0.188)	Loss 3.1179 (3.1263)	Prec@1 28.125 (28.285)	Prec@5 57.031 (56.782)
Epoch: [45][2130/7045]	Time 0.102 (0.249)	Data 0.008 (0.188)	Loss 3.1146 (3.1263)	Prec@1 26.953 (28.283)	Prec@5 57.812 (56.779)
Epoch: [45][2140/7045]	Time 0.101 (0.249)	Data 0.003 (0.188)	Loss 3.0693 (3.1261)	Prec@1 31.641 (28.289)	Prec@5 58.984 (56.782)
Epoch: [45][2150/7045]	Time 0.109 (0.249)	Data 0.057 (0.188)	Loss 3.3003 (3.1262)	Prec@1 21.875 (28.289)	Prec@5 54.688 (56.780)
Epoch: [45][2160/7045]	Time 0.432 (0.249)	Data 0.379 (0.188)	Loss 3.2031 (3.1264)	Prec@1 29.688 (28.287)	Prec@5 53.516 (56.774)
Epoch: [45][2170/7045]	Time 0.154 (0.249)	Data 0.102 (0.188)	Loss 2.9326 (3.1267)	Prec@1 29.297 (28.284)	Prec@5 60.938 (56.764)
Epoch: [45][2180/7045]	Time 0.241 (0.249)	Data 0.188 (0.188)	Loss 3.0415 (3.1269)	Prec@1 33.203 (28.281)	Prec@5 59.375 (56.763)
Epoch: [45][2190/7045]	Time 0.308 (0.249)	Data 0.256 (0.188)	Loss 3.2271 (3.1272)	Prec@1 25.781 (28.277)	Prec@5 55.078 (56.755)
Epoch: [45][2200/7045]	Time 0.107 (0.249)	Data 0.054 (0.188)	Loss 3.2215 (3.1273)	Prec@1 25.391 (28.273)	Prec@5 51.562 (56.747)
Epoch: [45][2210/7045]	Time 0.108 (0.249)	Data 0.054 (0.188)	Loss 2.9428 (3.1273)	Prec@1 33.203 (28.274)	Prec@5 60.547 (56.747)
Epoch: [45][2220/7045]	Time 0.262 (0.249)	Data 0.212 (0.188)	Loss 3.4108 (3.1276)	Prec@1 25.391 (28.274)	Prec@5 51.953 (56.740)
Epoch: [45][2230/7045]	Time 0.101 (0.249)	Data 0.006 (0.188)	Loss 2.9772 (3.1271)	Prec@1 30.469 (28.285)	Prec@5 58.203 (56.749)
Epoch: [45][2240/7045]	Time 0.543 (0.249)	Data 0.487 (0.188)	Loss 3.1455 (3.1270)	Prec@1 25.391 (28.285)	Prec@5 55.078 (56.749)
Epoch: [45][2250/7045]	Time 0.107 (0.249)	Data 0.001 (0.188)	Loss 2.9701 (3.1272)	Prec@1 30.469 (28.279)	Prec@5 62.500 (56.751)
Epoch: [45][2260/7045]	Time 0.612 (0.249)	Data 0.562 (0.188)	Loss 3.3160 (3.1269)	Prec@1 28.516 (28.281)	Prec@5 55.469 (56.756)
Epoch: [45][2270/7045]	Time 0.177 (0.249)	Data 0.125 (0.188)	Loss 3.1223 (3.1270)	Prec@1 31.641 (28.278)	Prec@5 57.812 (56.756)
Epoch: [45][2280/7045]	Time 0.511 (0.249)	Data 0.460 (0.188)	Loss 3.2130 (3.1274)	Prec@1 24.219 (28.275)	Prec@5 55.078 (56.746)
Epoch: [45][2290/7045]	Time 0.207 (0.249)	Data 0.156 (0.188)	Loss 3.0034 (3.1272)	Prec@1 33.594 (28.280)	Prec@5 61.719 (56.749)
Epoch: [45][2300/7045]	Time 0.386 (0.249)	Data 0.334 (0.188)	Loss 2.8877 (3.1272)	Prec@1 32.031 (28.281)	Prec@5 62.500 (56.747)
Epoch: [45][2310/7045]	Time 0.335 (0.249)	Data 0.284 (0.188)	Loss 3.0803 (3.1270)	Prec@1 34.375 (28.288)	Prec@5 58.594 (56.752)
Epoch: [45][2320/7045]	Time 0.372 (0.249)	Data 0.322 (0.188)	Loss 3.2415 (3.1271)	Prec@1 27.734 (28.291)	Prec@5 53.516 (56.750)
Epoch: [45][2330/7045]	Time 0.260 (0.249)	Data 0.208 (0.188)	Loss 3.1950 (3.1270)	Prec@1 28.125 (28.291)	Prec@5 55.078 (56.747)
Epoch: [45][2340/7045]	Time 0.101 (0.249)	Data 0.047 (0.188)	Loss 3.2981 (3.1271)	Prec@1 21.094 (28.289)	Prec@5 52.344 (56.746)
Epoch: [45][2350/7045]	Time 0.136 (0.249)	Data 0.084 (0.188)	Loss 2.9500 (3.1270)	Prec@1 30.859 (28.294)	Prec@5 57.031 (56.746)
Epoch: [45][2360/7045]	Time 0.226 (0.249)	Data 0.174 (0.188)	Loss 3.2624 (3.1271)	Prec@1 24.609 (28.291)	Prec@5 52.344 (56.742)
Epoch: [45][2370/7045]	Time 0.341 (0.249)	Data 0.290 (0.189)	Loss 3.3099 (3.1275)	Prec@1 23.828 (28.288)	Prec@5 52.344 (56.738)
Epoch: [45][2380/7045]	Time 0.298 (0.249)	Data 0.247 (0.189)	Loss 3.2768 (3.1276)	Prec@1 29.297 (28.289)	Prec@5 54.297 (56.738)
Epoch: [45][2390/7045]	Time 0.258 (0.249)	Data 0.206 (0.189)	Loss 3.2366 (3.1280)	Prec@1 28.906 (28.285)	Prec@5 52.734 (56.732)
Epoch: [45][2400/7045]	Time 0.110 (0.249)	Data 0.058 (0.189)	Loss 2.8099 (3.1277)	Prec@1 31.641 (28.290)	Prec@5 61.719 (56.736)
Epoch: [45][2410/7045]	Time 0.101 (0.249)	Data 0.002 (0.188)	Loss 3.1646 (3.1275)	Prec@1 26.562 (28.293)	Prec@5 55.469 (56.742)
Epoch: [45][2420/7045]	Time 0.211 (0.249)	Data 0.159 (0.189)	Loss 3.2409 (3.1277)	Prec@1 28.906 (28.292)	Prec@5 56.250 (56.737)
Epoch: [45][2430/7045]	Time 0.102 (0.249)	Data 0.001 (0.189)	Loss 3.2281 (3.1279)	Prec@1 28.516 (28.292)	Prec@5 55.859 (56.734)
Epoch: [45][2440/7045]	Time 0.573 (0.250)	Data 0.522 (0.189)	Loss 2.9878 (3.1280)	Prec@1 30.078 (28.288)	Prec@5 57.422 (56.734)
Epoch: [45][2450/7045]	Time 0.108 (0.249)	Data 0.045 (0.189)	Loss 3.2358 (3.1284)	Prec@1 28.125 (28.274)	Prec@5 51.562 (56.728)
Epoch: [45][2460/7045]	Time 0.668 (0.250)	Data 0.616 (0.189)	Loss 3.3392 (3.1284)	Prec@1 21.875 (28.274)	Prec@5 48.828 (56.731)
Epoch: [45][2470/7045]	Time 0.102 (0.249)	Data 0.001 (0.189)	Loss 3.1582 (3.1286)	Prec@1 25.391 (28.271)	Prec@5 55.859 (56.728)
Epoch: [45][2480/7045]	Time 0.398 (0.250)	Data 0.348 (0.189)	Loss 3.1928 (3.1289)	Prec@1 30.859 (28.270)	Prec@5 55.859 (56.722)
Epoch: [45][2490/7045]	Time 0.101 (0.249)	Data 0.001 (0.189)	Loss 3.1606 (3.1288)	Prec@1 26.953 (28.269)	Prec@5 57.812 (56.728)
Epoch: [45][2500/7045]	Time 0.101 (0.250)	Data 0.049 (0.189)	Loss 3.1488 (3.1287)	Prec@1 27.344 (28.271)	Prec@5 61.328 (56.734)
Epoch: [45][2510/7045]	Time 0.102 (0.250)	Data 0.011 (0.189)	Loss 3.3011 (3.1287)	Prec@1 28.125 (28.276)	Prec@5 52.344 (56.737)
Epoch: [45][2520/7045]	Time 0.435 (0.250)	Data 0.383 (0.189)	Loss 3.1264 (3.1287)	Prec@1 30.469 (28.276)	Prec@5 55.859 (56.740)
Epoch: [45][2530/7045]	Time 0.102 (0.250)	Data 0.004 (0.188)	Loss 2.9520 (3.1285)	Prec@1 29.297 (28.274)	Prec@5 59.375 (56.742)
Epoch: [45][2540/7045]	Time 0.598 (0.250)	Data 0.540 (0.189)	Loss 3.1815 (3.1286)	Prec@1 27.734 (28.268)	Prec@5 57.031 (56.737)
Epoch: [45][2550/7045]	Time 0.094 (0.250)	Data 0.001 (0.188)	Loss 2.9942 (3.1286)	Prec@1 32.812 (28.271)	Prec@5 60.156 (56.737)
Epoch: [45][2560/7045]	Time 0.636 (0.250)	Data 0.585 (0.188)	Loss 2.9097 (3.1287)	Prec@1 28.906 (28.266)	Prec@5 58.203 (56.736)
Epoch: [45][2570/7045]	Time 0.264 (0.250)	Data 0.213 (0.188)	Loss 3.1889 (3.1290)	Prec@1 23.438 (28.257)	Prec@5 57.031 (56.730)
Epoch: [45][2580/7045]	Time 0.475 (0.250)	Data 0.424 (0.188)	Loss 3.2101 (3.1288)	Prec@1 28.125 (28.259)	Prec@5 56.250 (56.729)
Epoch: [45][2590/7045]	Time 0.189 (0.249)	Data 0.138 (0.188)	Loss 3.2362 (3.1289)	Prec@1 23.047 (28.255)	Prec@5 58.203 (56.725)
Epoch: [45][2600/7045]	Time 0.503 (0.250)	Data 0.453 (0.188)	Loss 3.3329 (3.1290)	Prec@1 26.562 (28.256)	Prec@5 54.688 (56.723)
Epoch: [45][2610/7045]	Time 0.252 (0.250)	Data 0.201 (0.188)	Loss 3.3579 (3.1290)	Prec@1 24.609 (28.258)	Prec@5 51.953 (56.723)
Epoch: [45][2620/7045]	Time 0.407 (0.250)	Data 0.356 (0.188)	Loss 3.3568 (3.1291)	Prec@1 25.391 (28.257)	Prec@5 51.172 (56.721)
Epoch: [45][2630/7045]	Time 0.337 (0.250)	Data 0.286 (0.188)	Loss 2.9639 (3.1293)	Prec@1 30.859 (28.252)	Prec@5 57.422 (56.719)
Epoch: [45][2640/7045]	Time 0.109 (0.250)	Data 0.057 (0.188)	Loss 3.0004 (3.1293)	Prec@1 30.078 (28.253)	Prec@5 61.719 (56.719)
Epoch: [45][2650/7045]	Time 0.484 (0.250)	Data 0.426 (0.188)	Loss 3.2450 (3.1294)	Prec@1 27.734 (28.251)	Prec@5 53.516 (56.715)
Epoch: [45][2660/7045]	Time 0.099 (0.250)	Data 0.047 (0.188)	Loss 3.3592 (3.1294)	Prec@1 25.391 (28.254)	Prec@5 53.125 (56.718)
Epoch: [45][2670/7045]	Time 0.330 (0.250)	Data 0.279 (0.188)	Loss 3.0022 (3.1292)	Prec@1 31.641 (28.257)	Prec@5 60.547 (56.723)
Epoch: [45][2680/7045]	Time 0.109 (0.250)	Data 0.057 (0.188)	Loss 3.0558 (3.1293)	Prec@1 33.203 (28.254)	Prec@5 58.203 (56.718)
Epoch: [45][2690/7045]	Time 0.274 (0.250)	Data 0.223 (0.188)	Loss 3.0843 (3.1295)	Prec@1 29.688 (28.253)	Prec@5 59.375 (56.716)
Epoch: [45][2700/7045]	Time 0.110 (0.250)	Data 0.058 (0.188)	Loss 3.0592 (3.1299)	Prec@1 30.078 (28.247)	Prec@5 56.641 (56.707)
Epoch: [45][2710/7045]	Time 0.400 (0.250)	Data 0.348 (0.189)	Loss 3.1182 (3.1299)	Prec@1 27.734 (28.246)	Prec@5 57.812 (56.708)
Epoch: [45][2720/7045]	Time 0.113 (0.250)	Data 0.062 (0.189)	Loss 3.2296 (3.1300)	Prec@1 25.000 (28.242)	Prec@5 53.516 (56.707)
Epoch: [45][2730/7045]	Time 0.100 (0.250)	Data 0.048 (0.188)	Loss 3.0125 (3.1301)	Prec@1 30.078 (28.240)	Prec@5 59.375 (56.704)
Epoch: [45][2740/7045]	Time 0.336 (0.250)	Data 0.286 (0.189)	Loss 3.0245 (3.1301)	Prec@1 28.906 (28.239)	Prec@5 59.766 (56.705)
Epoch: [45][2750/7045]	Time 0.321 (0.250)	Data 0.270 (0.189)	Loss 2.9071 (3.1303)	Prec@1 29.297 (28.240)	Prec@5 64.453 (56.702)
Epoch: [45][2760/7045]	Time 0.247 (0.250)	Data 0.196 (0.189)	Loss 3.1163 (3.1304)	Prec@1 27.344 (28.240)	Prec@5 57.422 (56.704)
Epoch: [45][2770/7045]	Time 0.516 (0.250)	Data 0.465 (0.189)	Loss 3.2372 (3.1307)	Prec@1 27.734 (28.238)	Prec@5 56.250 (56.701)
Epoch: [45][2780/7045]	Time 0.102 (0.250)	Data 0.007 (0.188)	Loss 2.9470 (3.1306)	Prec@1 30.469 (28.241)	Prec@5 59.375 (56.697)
Epoch: [45][2790/7045]	Time 0.700 (0.250)	Data 0.646 (0.189)	Loss 3.1300 (3.1307)	Prec@1 28.125 (28.237)	Prec@5 57.422 (56.695)
Epoch: [45][2800/7045]	Time 0.167 (0.250)	Data 0.115 (0.188)	Loss 3.0187 (3.1305)	Prec@1 33.203 (28.246)	Prec@5 57.812 (56.699)
Epoch: [45][2810/7045]	Time 0.629 (0.250)	Data 0.579 (0.188)	Loss 3.2353 (3.1307)	Prec@1 24.609 (28.243)	Prec@5 56.250 (56.691)
Epoch: [45][2820/7045]	Time 0.097 (0.250)	Data 0.001 (0.188)	Loss 3.2460 (3.1309)	Prec@1 26.562 (28.240)	Prec@5 54.688 (56.683)
Epoch: [45][2830/7045]	Time 0.588 (0.250)	Data 0.537 (0.188)	Loss 3.0152 (3.1310)	Prec@1 28.125 (28.236)	Prec@5 60.156 (56.681)
Epoch: [45][2840/7045]	Time 0.202 (0.250)	Data 0.144 (0.188)	Loss 3.3449 (3.1308)	Prec@1 21.484 (28.236)	Prec@5 52.734 (56.687)
Epoch: [45][2850/7045]	Time 0.352 (0.250)	Data 0.301 (0.188)	Loss 3.2122 (3.1307)	Prec@1 25.391 (28.236)	Prec@5 51.172 (56.684)
Epoch: [45][2860/7045]	Time 0.386 (0.250)	Data 0.334 (0.188)	Loss 3.2451 (3.1307)	Prec@1 26.562 (28.238)	Prec@5 54.297 (56.685)
Epoch: [45][2870/7045]	Time 0.231 (0.250)	Data 0.180 (0.188)	Loss 2.8712 (3.1305)	Prec@1 31.250 (28.239)	Prec@5 62.109 (56.689)
Epoch: [45][2880/7045]	Time 0.249 (0.250)	Data 0.189 (0.188)	Loss 3.0666 (3.1303)	Prec@1 26.562 (28.240)	Prec@5 57.422 (56.691)
Epoch: [45][2890/7045]	Time 0.221 (0.250)	Data 0.170 (0.188)	Loss 3.0602 (3.1303)	Prec@1 30.078 (28.244)	Prec@5 59.375 (56.694)
Epoch: [45][2900/7045]	Time 0.211 (0.250)	Data 0.159 (0.188)	Loss 3.1889 (3.1302)	Prec@1 24.609 (28.246)	Prec@5 55.078 (56.693)
Epoch: [45][2910/7045]	Time 0.100 (0.250)	Data 0.044 (0.188)	Loss 3.1353 (3.1306)	Prec@1 29.297 (28.241)	Prec@5 60.938 (56.686)
Epoch: [45][2920/7045]	Time 0.281 (0.250)	Data 0.223 (0.188)	Loss 3.0328 (3.1309)	Prec@1 32.812 (28.235)	Prec@5 57.812 (56.679)
Epoch: [45][2930/7045]	Time 0.148 (0.250)	Data 0.097 (0.188)	Loss 2.9859 (3.1311)	Prec@1 32.031 (28.233)	Prec@5 57.031 (56.672)
Epoch: [45][2940/7045]	Time 0.346 (0.250)	Data 0.295 (0.188)	Loss 3.3885 (3.1311)	Prec@1 23.438 (28.235)	Prec@5 49.219 (56.667)
Epoch: [45][2950/7045]	Time 0.384 (0.250)	Data 0.333 (0.188)	Loss 3.3123 (3.1310)	Prec@1 23.047 (28.232)	Prec@5 53.125 (56.666)
Epoch: [45][2960/7045]	Time 0.299 (0.250)	Data 0.247 (0.188)	Loss 2.9341 (3.1310)	Prec@1 35.156 (28.235)	Prec@5 61.328 (56.666)
Epoch: [45][2970/7045]	Time 0.301 (0.250)	Data 0.250 (0.188)	Loss 3.2004 (3.1311)	Prec@1 23.438 (28.232)	Prec@5 57.422 (56.665)
Epoch: [45][2980/7045]	Time 0.102 (0.250)	Data 0.004 (0.188)	Loss 3.3051 (3.1313)	Prec@1 26.562 (28.231)	Prec@5 50.391 (56.660)
Epoch: [45][2990/7045]	Time 0.099 (0.250)	Data 0.001 (0.188)	Loss 2.9722 (3.1312)	Prec@1 30.469 (28.229)	Prec@5 62.891 (56.662)
Epoch: [45][3000/7045]	Time 0.435 (0.250)	Data 0.384 (0.188)	Loss 3.0674 (3.1310)	Prec@1 29.688 (28.236)	Prec@5 58.203 (56.669)
Epoch: [45][3010/7045]	Time 0.281 (0.250)	Data 0.228 (0.188)	Loss 3.1529 (3.1311)	Prec@1 28.906 (28.231)	Prec@5 56.641 (56.668)
Epoch: [45][3020/7045]	Time 0.134 (0.250)	Data 0.083 (0.188)	Loss 3.0721 (3.1311)	Prec@1 30.078 (28.232)	Prec@5 56.641 (56.669)
Epoch: [45][3030/7045]	Time 0.102 (0.250)	Data 0.001 (0.188)	Loss 3.0137 (3.1308)	Prec@1 32.031 (28.236)	Prec@5 60.156 (56.677)
Epoch: [45][3040/7045]	Time 0.480 (0.250)	Data 0.430 (0.188)	Loss 3.0351 (3.1308)	Prec@1 27.734 (28.236)	Prec@5 58.984 (56.676)
Epoch: [45][3050/7045]	Time 0.100 (0.250)	Data 0.001 (0.188)	Loss 3.0161 (3.1308)	Prec@1 28.906 (28.239)	Prec@5 56.641 (56.676)
Epoch: [45][3060/7045]	Time 0.128 (0.250)	Data 0.078 (0.188)	Loss 3.0859 (3.1307)	Prec@1 31.250 (28.238)	Prec@5 57.812 (56.678)
Epoch: [45][3070/7045]	Time 0.318 (0.250)	Data 0.268 (0.188)	Loss 3.2227 (3.1307)	Prec@1 29.297 (28.239)	Prec@5 56.250 (56.679)
Epoch: [45][3080/7045]	Time 0.101 (0.250)	Data 0.015 (0.188)	Loss 3.1519 (3.1304)	Prec@1 32.422 (28.245)	Prec@5 55.859 (56.684)
Epoch: [45][3090/7045]	Time 0.437 (0.250)	Data 0.386 (0.188)	Loss 3.0564 (3.1306)	Prec@1 33.203 (28.241)	Prec@5 59.375 (56.682)
Epoch: [45][3100/7045]	Time 0.101 (0.250)	Data 0.012 (0.188)	Loss 3.0859 (3.1306)	Prec@1 28.906 (28.241)	Prec@5 58.203 (56.686)
Epoch: [45][3110/7045]	Time 0.476 (0.250)	Data 0.424 (0.188)	Loss 3.2490 (3.1305)	Prec@1 27.344 (28.244)	Prec@5 58.203 (56.689)
Epoch: [45][3120/7045]	Time 0.269 (0.250)	Data 0.219 (0.188)	Loss 3.1824 (3.1305)	Prec@1 30.078 (28.243)	Prec@5 59.766 (56.691)
Epoch: [45][3130/7045]	Time 0.420 (0.250)	Data 0.370 (0.188)	Loss 3.0823 (3.1305)	Prec@1 30.859 (28.244)	Prec@5 54.688 (56.689)
Epoch: [45][3140/7045]	Time 0.243 (0.250)	Data 0.191 (0.188)	Loss 3.0657 (3.1306)	Prec@1 28.125 (28.245)	Prec@5 58.984 (56.694)
Epoch: [45][3150/7045]	Time 0.272 (0.250)	Data 0.221 (0.188)	Loss 3.1191 (3.1308)	Prec@1 23.438 (28.240)	Prec@5 54.688 (56.691)
Epoch: [45][3160/7045]	Time 0.234 (0.250)	Data 0.183 (0.188)	Loss 3.1241 (3.1309)	Prec@1 30.469 (28.238)	Prec@5 55.469 (56.688)
Epoch: [45][3170/7045]	Time 0.102 (0.250)	Data 0.009 (0.188)	Loss 2.9837 (3.1307)	Prec@1 30.469 (28.237)	Prec@5 61.328 (56.688)
Epoch: [45][3180/7045]	Time 0.785 (0.250)	Data 0.735 (0.189)	Loss 3.0354 (3.1308)	Prec@1 27.344 (28.237)	Prec@5 56.250 (56.684)
Epoch: [45][3190/7045]	Time 0.179 (0.250)	Data 0.128 (0.188)	Loss 3.1395 (3.1308)	Prec@1 28.125 (28.240)	Prec@5 58.203 (56.684)
Epoch: [45][3200/7045]	Time 0.181 (0.250)	Data 0.131 (0.188)	Loss 3.0267 (3.1308)	Prec@1 30.078 (28.242)	Prec@5 53.125 (56.683)
Epoch: [45][3210/7045]	Time 0.641 (0.250)	Data 0.590 (0.188)	Loss 3.0389 (3.1307)	Prec@1 34.375 (28.243)	Prec@5 60.547 (56.683)
Epoch: [45][3220/7045]	Time 0.106 (0.250)	Data 0.001 (0.188)	Loss 3.3039 (3.1307)	Prec@1 26.172 (28.245)	Prec@5 51.562 (56.685)
Epoch: [45][3230/7045]	Time 0.613 (0.250)	Data 0.561 (0.188)	Loss 2.9871 (3.1304)	Prec@1 32.031 (28.251)	Prec@5 57.422 (56.691)
Epoch: [45][3240/7045]	Time 0.206 (0.250)	Data 0.155 (0.188)	Loss 3.1816 (3.1302)	Prec@1 24.609 (28.252)	Prec@5 57.422 (56.697)
Epoch: [45][3250/7045]	Time 0.116 (0.250)	Data 0.057 (0.188)	Loss 3.0351 (3.1303)	Prec@1 32.422 (28.250)	Prec@5 60.156 (56.697)
Epoch: [45][3260/7045]	Time 0.372 (0.250)	Data 0.321 (0.188)	Loss 2.9251 (3.1303)	Prec@1 28.906 (28.249)	Prec@5 60.938 (56.697)
Epoch: [45][3270/7045]	Time 0.189 (0.250)	Data 0.137 (0.188)	Loss 3.1677 (3.1305)	Prec@1 25.000 (28.247)	Prec@5 57.422 (56.694)
Epoch: [45][3280/7045]	Time 0.234 (0.250)	Data 0.182 (0.188)	Loss 3.2658 (3.1307)	Prec@1 26.562 (28.245)	Prec@5 57.031 (56.694)
Epoch: [45][3290/7045]	Time 0.109 (0.250)	Data 0.058 (0.188)	Loss 3.0354 (3.1306)	Prec@1 31.250 (28.245)	Prec@5 60.547 (56.695)
Epoch: [45][3300/7045]	Time 0.211 (0.250)	Data 0.161 (0.188)	Loss 3.3250 (3.1305)	Prec@1 26.562 (28.249)	Prec@5 52.734 (56.697)
Epoch: [45][3310/7045]	Time 0.206 (0.250)	Data 0.155 (0.188)	Loss 2.8739 (3.1305)	Prec@1 33.203 (28.249)	Prec@5 61.328 (56.695)
Epoch: [45][3320/7045]	Time 0.215 (0.250)	Data 0.164 (0.188)	Loss 2.9911 (3.1304)	Prec@1 29.297 (28.250)	Prec@5 59.375 (56.696)
Epoch: [45][3330/7045]	Time 0.253 (0.250)	Data 0.201 (0.188)	Loss 3.0588 (3.1304)	Prec@1 26.172 (28.253)	Prec@5 61.328 (56.696)
Epoch: [45][3340/7045]	Time 0.278 (0.250)	Data 0.226 (0.188)	Loss 3.1389 (3.1305)	Prec@1 29.688 (28.249)	Prec@5 57.812 (56.693)
Epoch: [45][3350/7045]	Time 0.280 (0.250)	Data 0.228 (0.188)	Loss 3.1509 (3.1305)	Prec@1 27.344 (28.247)	Prec@5 57.812 (56.696)
Epoch: [45][3360/7045]	Time 0.384 (0.250)	Data 0.328 (0.188)	Loss 3.1152 (3.1305)	Prec@1 31.641 (28.249)	Prec@5 57.031 (56.698)
Epoch: [45][3370/7045]	Time 0.211 (0.250)	Data 0.159 (0.188)	Loss 3.2515 (3.1305)	Prec@1 26.172 (28.244)	Prec@5 56.250 (56.695)
Epoch: [45][3380/7045]	Time 0.157 (0.250)	Data 0.102 (0.188)	Loss 3.0467 (3.1306)	Prec@1 30.469 (28.244)	Prec@5 55.859 (56.693)
Epoch: [45][3390/7045]	Time 0.102 (0.250)	Data 0.001 (0.188)	Loss 3.1013 (3.1304)	Prec@1 32.031 (28.248)	Prec@5 56.641 (56.696)
Epoch: [45][3400/7045]	Time 0.179 (0.250)	Data 0.128 (0.188)	Loss 3.1644 (3.1303)	Prec@1 30.078 (28.245)	Prec@5 54.297 (56.696)
Epoch: [45][3410/7045]	Time 0.468 (0.250)	Data 0.416 (0.188)	Loss 3.1239 (3.1302)	Prec@1 26.562 (28.245)	Prec@5 53.125 (56.696)
Epoch: [45][3420/7045]	Time 0.107 (0.250)	Data 0.056 (0.188)	Loss 3.2379 (3.1301)	Prec@1 24.609 (28.248)	Prec@5 55.859 (56.698)
Epoch: [45][3430/7045]	Time 0.500 (0.250)	Data 0.448 (0.188)	Loss 3.1077 (3.1301)	Prec@1 28.125 (28.248)	Prec@5 58.594 (56.700)
Epoch: [45][3440/7045]	Time 0.383 (0.250)	Data 0.333 (0.188)	Loss 3.0548 (3.1299)	Prec@1 29.297 (28.251)	Prec@5 57.422 (56.705)
Epoch: [45][3450/7045]	Time 0.359 (0.250)	Data 0.307 (0.188)	Loss 3.0217 (3.1299)	Prec@1 30.078 (28.254)	Prec@5 55.078 (56.702)
Epoch: [45][3460/7045]	Time 0.393 (0.250)	Data 0.342 (0.188)	Loss 3.2468 (3.1299)	Prec@1 28.906 (28.250)	Prec@5 54.297 (56.701)
Epoch: [45][3470/7045]	Time 0.247 (0.250)	Data 0.196 (0.188)	Loss 3.0304 (3.1297)	Prec@1 29.297 (28.251)	Prec@5 62.109 (56.705)
Epoch: [45][3480/7045]	Time 0.311 (0.250)	Data 0.259 (0.188)	Loss 3.2297 (3.1296)	Prec@1 26.562 (28.252)	Prec@5 55.469 (56.708)
Epoch: [45][3490/7045]	Time 0.378 (0.250)	Data 0.327 (0.188)	Loss 3.1235 (3.1296)	Prec@1 28.516 (28.253)	Prec@5 55.859 (56.710)
Epoch: [45][3500/7045]	Time 0.325 (0.250)	Data 0.273 (0.188)	Loss 3.1180 (3.1294)	Prec@1 29.297 (28.256)	Prec@5 57.422 (56.714)
Epoch: [45][3510/7045]	Time 0.450 (0.250)	Data 0.399 (0.188)	Loss 3.0089 (3.1295)	Prec@1 30.469 (28.254)	Prec@5 61.328 (56.713)
Epoch: [45][3520/7045]	Time 0.376 (0.250)	Data 0.325 (0.188)	Loss 3.1076 (3.1292)	Prec@1 30.469 (28.259)	Prec@5 55.859 (56.717)
Epoch: [45][3530/7045]	Time 0.395 (0.249)	Data 0.343 (0.188)	Loss 3.0374 (3.1292)	Prec@1 29.297 (28.257)	Prec@5 57.422 (56.717)
Epoch: [45][3540/7045]	Time 0.301 (0.249)	Data 0.245 (0.188)	Loss 3.2151 (3.1294)	Prec@1 26.562 (28.253)	Prec@5 53.516 (56.713)
Epoch: [45][3550/7045]	Time 0.355 (0.249)	Data 0.304 (0.188)	Loss 3.1209 (3.1293)	Prec@1 26.953 (28.255)	Prec@5 55.469 (56.715)
Epoch: [45][3560/7045]	Time 0.326 (0.249)	Data 0.274 (0.188)	Loss 3.1420 (3.1295)	Prec@1 28.906 (28.254)	Prec@5 59.766 (56.712)
Epoch: [45][3570/7045]	Time 0.387 (0.249)	Data 0.329 (0.188)	Loss 3.1423 (3.1294)	Prec@1 26.562 (28.256)	Prec@5 58.203 (56.714)
Epoch: [45][3580/7045]	Time 0.236 (0.249)	Data 0.185 (0.188)	Loss 2.8852 (3.1294)	Prec@1 37.891 (28.254)	Prec@5 64.844 (56.717)
Epoch: [45][3590/7045]	Time 0.463 (0.249)	Data 0.411 (0.188)	Loss 3.2152 (3.1295)	Prec@1 27.734 (28.253)	Prec@5 57.422 (56.717)
Epoch: [45][3600/7045]	Time 0.213 (0.249)	Data 0.162 (0.188)	Loss 3.1151 (3.1295)	Prec@1 29.688 (28.254)	Prec@5 55.078 (56.719)
Epoch: [45][3610/7045]	Time 0.296 (0.249)	Data 0.236 (0.188)	Loss 3.0700 (3.1295)	Prec@1 29.688 (28.258)	Prec@5 54.297 (56.717)
Epoch: [45][3620/7045]	Time 0.223 (0.249)	Data 0.172 (0.188)	Loss 3.0713 (3.1296)	Prec@1 29.297 (28.258)	Prec@5 60.156 (56.716)
Epoch: [45][3630/7045]	Time 0.318 (0.249)	Data 0.267 (0.188)	Loss 3.0339 (3.1296)	Prec@1 28.906 (28.254)	Prec@5 59.375 (56.718)
Epoch: [45][3640/7045]	Time 0.231 (0.249)	Data 0.180 (0.188)	Loss 2.9899 (3.1297)	Prec@1 30.469 (28.254)	Prec@5 60.156 (56.717)
Epoch: [45][3650/7045]	Time 0.236 (0.249)	Data 0.185 (0.188)	Loss 2.9778 (3.1295)	Prec@1 33.984 (28.256)	Prec@5 61.328 (56.724)
Epoch: [45][3660/7045]	Time 0.160 (0.249)	Data 0.107 (0.188)	Loss 2.9462 (3.1296)	Prec@1 28.906 (28.253)	Prec@5 59.375 (56.721)
Epoch: [45][3670/7045]	Time 0.243 (0.249)	Data 0.191 (0.188)	Loss 3.0454 (3.1296)	Prec@1 29.297 (28.254)	Prec@5 58.984 (56.721)
Epoch: [45][3680/7045]	Time 0.119 (0.249)	Data 0.068 (0.188)	Loss 3.0865 (3.1297)	Prec@1 29.688 (28.251)	Prec@5 58.594 (56.720)
Epoch: [45][3690/7045]	Time 0.146 (0.249)	Data 0.095 (0.188)	Loss 3.1199 (3.1297)	Prec@1 30.859 (28.252)	Prec@5 58.203 (56.721)
Epoch: [45][3700/7045]	Time 0.141 (0.249)	Data 0.090 (0.188)	Loss 3.3856 (3.1298)	Prec@1 21.094 (28.248)	Prec@5 53.906 (56.722)
Epoch: [45][3710/7045]	Time 0.120 (0.249)	Data 0.069 (0.188)	Loss 3.1504 (3.1297)	Prec@1 24.219 (28.250)	Prec@5 55.078 (56.724)
Epoch: [45][3720/7045]	Time 0.098 (0.249)	Data 0.046 (0.188)	Loss 3.1800 (3.1298)	Prec@1 29.688 (28.250)	Prec@5 53.125 (56.723)
Epoch: [45][3730/7045]	Time 0.102 (0.249)	Data 0.006 (0.188)	Loss 3.1726 (3.1301)	Prec@1 28.125 (28.246)	Prec@5 61.328 (56.722)
Epoch: [45][3740/7045]	Time 0.101 (0.249)	Data 0.045 (0.188)	Loss 3.1140 (3.1300)	Prec@1 26.953 (28.248)	Prec@5 55.078 (56.722)
Epoch: [45][3750/7045]	Time 0.101 (0.249)	Data 0.001 (0.188)	Loss 3.1507 (3.1302)	Prec@1 32.812 (28.247)	Prec@5 57.031 (56.719)
Epoch: [45][3760/7045]	Time 0.103 (0.249)	Data 0.005 (0.188)	Loss 3.2950 (3.1302)	Prec@1 26.562 (28.247)	Prec@5 53.516 (56.719)
Epoch: [45][3770/7045]	Time 0.164 (0.249)	Data 0.113 (0.188)	Loss 3.1236 (3.1303)	Prec@1 26.953 (28.245)	Prec@5 60.938 (56.720)
Epoch: [45][3780/7045]	Time 0.101 (0.249)	Data 0.002 (0.188)	Loss 3.2490 (3.1304)	Prec@1 26.172 (28.245)	Prec@5 52.344 (56.717)
Epoch: [45][3790/7045]	Time 0.101 (0.249)	Data 0.045 (0.188)	Loss 3.0551 (3.1304)	Prec@1 24.609 (28.244)	Prec@5 54.688 (56.716)
Epoch: [45][3800/7045]	Time 0.101 (0.249)	Data 0.046 (0.188)	Loss 3.0620 (3.1304)	Prec@1 26.562 (28.241)	Prec@5 59.375 (56.714)
Epoch: [45][3810/7045]	Time 0.101 (0.249)	Data 0.003 (0.188)	Loss 3.4233 (3.1305)	Prec@1 18.359 (28.238)	Prec@5 52.734 (56.715)
Epoch: [45][3820/7045]	Time 0.170 (0.249)	Data 0.118 (0.188)	Loss 3.2691 (3.1305)	Prec@1 21.875 (28.237)	Prec@5 55.859 (56.715)
Epoch: [45][3830/7045]	Time 0.102 (0.249)	Data 0.004 (0.188)	Loss 2.9739 (3.1305)	Prec@1 28.125 (28.235)	Prec@5 62.500 (56.714)
Epoch: [45][3840/7045]	Time 0.136 (0.249)	Data 0.084 (0.188)	Loss 2.8353 (3.1303)	Prec@1 32.422 (28.240)	Prec@5 62.500 (56.719)
Epoch: [45][3850/7045]	Time 0.101 (0.249)	Data 0.006 (0.188)	Loss 3.0747 (3.1303)	Prec@1 27.344 (28.237)	Prec@5 57.812 (56.718)
Epoch: [45][3860/7045]	Time 0.190 (0.249)	Data 0.138 (0.188)	Loss 3.1983 (3.1301)	Prec@1 27.344 (28.241)	Prec@5 59.766 (56.725)
Epoch: [45][3870/7045]	Time 0.101 (0.249)	Data 0.001 (0.188)	Loss 3.0564 (3.1300)	Prec@1 28.906 (28.242)	Prec@5 57.422 (56.727)
Epoch: [45][3880/7045]	Time 0.226 (0.249)	Data 0.174 (0.188)	Loss 3.0528 (3.1301)	Prec@1 28.125 (28.240)	Prec@5 58.594 (56.725)
Epoch: [45][3890/7045]	Time 0.101 (0.249)	Data 0.005 (0.188)	Loss 2.9870 (3.1299)	Prec@1 28.906 (28.244)	Prec@5 61.719 (56.729)
Epoch: [45][3900/7045]	Time 0.339 (0.249)	Data 0.288 (0.188)	Loss 3.0323 (3.1299)	Prec@1 29.688 (28.244)	Prec@5 56.641 (56.729)
Epoch: [45][3910/7045]	Time 0.102 (0.249)	Data 0.002 (0.188)	Loss 3.1643 (3.1300)	Prec@1 28.906 (28.241)	Prec@5 55.078 (56.723)
Epoch: [45][3920/7045]	Time 0.384 (0.249)	Data 0.333 (0.188)	Loss 3.3738 (3.1300)	Prec@1 24.609 (28.241)	Prec@5 52.344 (56.722)
Epoch: [45][3930/7045]	Time 0.103 (0.249)	Data 0.004 (0.188)	Loss 3.0348 (3.1301)	Prec@1 30.078 (28.237)	Prec@5 56.250 (56.720)
Epoch: [45][3940/7045]	Time 0.340 (0.249)	Data 0.289 (0.188)	Loss 3.1402 (3.1302)	Prec@1 27.344 (28.237)	Prec@5 56.641 (56.717)
Epoch: [45][3950/7045]	Time 0.107 (0.249)	Data 0.055 (0.188)	Loss 3.1770 (3.1302)	Prec@1 26.172 (28.237)	Prec@5 55.469 (56.714)
Epoch: [45][3960/7045]	Time 0.323 (0.249)	Data 0.272 (0.188)	Loss 3.1654 (3.1303)	Prec@1 31.250 (28.240)	Prec@5 57.422 (56.714)
Epoch: [45][3970/7045]	Time 0.146 (0.249)	Data 0.095 (0.188)	Loss 2.9014 (3.1300)	Prec@1 28.906 (28.243)	Prec@5 60.547 (56.716)
Epoch: [45][3980/7045]	Time 0.343 (0.249)	Data 0.290 (0.188)	Loss 3.3402 (3.1303)	Prec@1 26.562 (28.239)	Prec@5 50.781 (56.712)
Epoch: [45][3990/7045]	Time 0.103 (0.249)	Data 0.001 (0.188)	Loss 3.1812 (3.1302)	Prec@1 30.078 (28.234)	Prec@5 60.156 (56.715)
Epoch: [45][4000/7045]	Time 0.375 (0.249)	Data 0.324 (0.188)	Loss 3.3253 (3.1303)	Prec@1 25.391 (28.234)	Prec@5 53.516 (56.712)
Epoch: [45][4010/7045]	Time 0.100 (0.249)	Data 0.001 (0.188)	Loss 2.9744 (3.1302)	Prec@1 27.344 (28.233)	Prec@5 61.328 (56.716)
Epoch: [45][4020/7045]	Time 0.468 (0.249)	Data 0.418 (0.188)	Loss 2.9959 (3.1301)	Prec@1 27.344 (28.235)	Prec@5 59.375 (56.716)
Epoch: [45][4030/7045]	Time 0.101 (0.248)	Data 0.001 (0.187)	Loss 2.9891 (3.1301)	Prec@1 28.125 (28.237)	Prec@5 59.766 (56.715)
Epoch: [45][4040/7045]	Time 0.563 (0.249)	Data 0.512 (0.188)	Loss 3.0742 (3.1302)	Prec@1 32.812 (28.237)	Prec@5 57.422 (56.716)
Epoch: [45][4050/7045]	Time 0.180 (0.248)	Data 0.128 (0.187)	Loss 3.2320 (3.1301)	Prec@1 23.438 (28.238)	Prec@5 55.078 (56.715)
Epoch: [45][4060/7045]	Time 0.483 (0.249)	Data 0.426 (0.187)	Loss 3.3707 (3.1302)	Prec@1 23.828 (28.236)	Prec@5 51.562 (56.715)
Epoch: [45][4070/7045]	Time 0.338 (0.248)	Data 0.283 (0.187)	Loss 3.3128 (3.1301)	Prec@1 26.953 (28.236)	Prec@5 55.859 (56.716)
Epoch: [45][4080/7045]	Time 0.457 (0.248)	Data 0.406 (0.187)	Loss 3.1727 (3.1300)	Prec@1 27.344 (28.236)	Prec@5 55.078 (56.718)
Epoch: [45][4090/7045]	Time 0.261 (0.248)	Data 0.211 (0.187)	Loss 3.1976 (3.1299)	Prec@1 29.297 (28.240)	Prec@5 55.859 (56.721)
Epoch: [45][4100/7045]	Time 0.186 (0.248)	Data 0.134 (0.187)	Loss 3.0845 (3.1298)	Prec@1 28.516 (28.240)	Prec@5 58.203 (56.721)
Epoch: [45][4110/7045]	Time 0.191 (0.248)	Data 0.141 (0.187)	Loss 3.1252 (3.1299)	Prec@1 27.344 (28.239)	Prec@5 54.297 (56.720)
Epoch: [45][4120/7045]	Time 0.108 (0.248)	Data 0.001 (0.187)	Loss 3.0596 (3.1299)	Prec@1 31.641 (28.238)	Prec@5 57.422 (56.722)
Epoch: [45][4130/7045]	Time 0.112 (0.248)	Data 0.061 (0.187)	Loss 3.1061 (3.1298)	Prec@1 28.516 (28.240)	Prec@5 54.297 (56.721)
Epoch: [45][4140/7045]	Time 0.186 (0.248)	Data 0.128 (0.187)	Loss 3.1900 (3.1299)	Prec@1 30.859 (28.240)	Prec@5 57.031 (56.722)
Epoch: [45][4150/7045]	Time 0.114 (0.248)	Data 0.063 (0.187)	Loss 3.1645 (3.1300)	Prec@1 27.344 (28.235)	Prec@5 55.469 (56.720)
Epoch: [45][4160/7045]	Time 0.107 (0.248)	Data 0.047 (0.187)	Loss 3.1010 (3.1298)	Prec@1 26.953 (28.240)	Prec@5 56.641 (56.726)
Epoch: [45][4170/7045]	Time 0.425 (0.248)	Data 0.373 (0.187)	Loss 3.2828 (3.1298)	Prec@1 25.000 (28.237)	Prec@5 52.344 (56.728)
Epoch: [45][4180/7045]	Time 0.157 (0.248)	Data 0.105 (0.187)	Loss 3.1370 (3.1299)	Prec@1 30.078 (28.235)	Prec@5 58.594 (56.729)
Epoch: [45][4190/7045]	Time 0.621 (0.248)	Data 0.569 (0.187)	Loss 3.0262 (3.1298)	Prec@1 30.469 (28.233)	Prec@5 55.078 (56.731)
Epoch: [45][4200/7045]	Time 0.096 (0.248)	Data 0.001 (0.187)	Loss 3.1470 (3.1298)	Prec@1 27.344 (28.234)	Prec@5 56.641 (56.734)
Epoch: [45][4210/7045]	Time 0.625 (0.248)	Data 0.564 (0.187)	Loss 3.1190 (3.1297)	Prec@1 25.781 (28.232)	Prec@5 56.250 (56.733)
Epoch: [45][4220/7045]	Time 0.102 (0.248)	Data 0.001 (0.187)	Loss 3.1605 (3.1297)	Prec@1 29.688 (28.232)	Prec@5 57.812 (56.734)
Epoch: [45][4230/7045]	Time 0.346 (0.248)	Data 0.294 (0.187)	Loss 3.1441 (3.1298)	Prec@1 29.297 (28.233)	Prec@5 59.766 (56.733)
Epoch: [45][4240/7045]	Time 0.103 (0.248)	Data 0.001 (0.187)	Loss 2.9629 (3.1296)	Prec@1 33.203 (28.233)	Prec@5 59.766 (56.736)
Epoch: [45][4250/7045]	Time 0.141 (0.248)	Data 0.089 (0.187)	Loss 3.0299 (3.1296)	Prec@1 32.031 (28.236)	Prec@5 59.375 (56.737)
Epoch: [45][4260/7045]	Time 0.102 (0.248)	Data 0.001 (0.187)	Loss 3.3093 (3.1297)	Prec@1 26.172 (28.233)	Prec@5 51.562 (56.735)
Epoch: [45][4270/7045]	Time 0.107 (0.248)	Data 0.005 (0.187)	Loss 3.3732 (3.1296)	Prec@1 22.656 (28.232)	Prec@5 54.297 (56.737)
Epoch: [45][4280/7045]	Time 0.101 (0.248)	Data 0.045 (0.187)	Loss 3.2168 (3.1297)	Prec@1 26.953 (28.230)	Prec@5 54.688 (56.737)
Epoch: [45][4290/7045]	Time 0.110 (0.248)	Data 0.003 (0.187)	Loss 2.9314 (3.1297)	Prec@1 28.516 (28.231)	Prec@5 64.062 (56.736)
Epoch: [45][4300/7045]	Time 0.346 (0.248)	Data 0.296 (0.187)	Loss 3.4312 (3.1297)	Prec@1 22.266 (28.229)	Prec@5 49.609 (56.733)
Epoch: [45][4310/7045]	Time 0.229 (0.248)	Data 0.178 (0.187)	Loss 3.1051 (3.1296)	Prec@1 28.125 (28.226)	Prec@5 57.422 (56.737)
Epoch: [45][4320/7045]	Time 0.591 (0.248)	Data 0.539 (0.187)	Loss 2.9434 (3.1297)	Prec@1 29.688 (28.225)	Prec@5 60.156 (56.737)
Epoch: [45][4330/7045]	Time 0.119 (0.248)	Data 0.062 (0.187)	Loss 2.9330 (3.1295)	Prec@1 31.250 (28.228)	Prec@5 58.984 (56.740)
Epoch: [45][4340/7045]	Time 0.496 (0.248)	Data 0.445 (0.187)	Loss 3.1016 (3.1295)	Prec@1 32.031 (28.230)	Prec@5 57.812 (56.740)
Epoch: [45][4350/7045]	Time 0.150 (0.248)	Data 0.098 (0.187)	Loss 3.0585 (3.1296)	Prec@1 31.641 (28.227)	Prec@5 56.250 (56.737)
Epoch: [45][4360/7045]	Time 0.314 (0.248)	Data 0.264 (0.187)	Loss 3.0896 (3.1295)	Prec@1 28.125 (28.230)	Prec@5 56.641 (56.741)
Epoch: [45][4370/7045]	Time 0.109 (0.248)	Data 0.056 (0.187)	Loss 3.0129 (3.1295)	Prec@1 28.125 (28.229)	Prec@5 60.156 (56.740)
Epoch: [45][4380/7045]	Time 0.232 (0.248)	Data 0.180 (0.187)	Loss 3.1803 (3.1295)	Prec@1 25.000 (28.226)	Prec@5 53.906 (56.739)
Epoch: [45][4390/7045]	Time 0.102 (0.248)	Data 0.001 (0.187)	Loss 3.0169 (3.1295)	Prec@1 32.031 (28.227)	Prec@5 56.641 (56.738)
Epoch: [45][4400/7045]	Time 0.101 (0.248)	Data 0.005 (0.187)	Loss 3.1097 (3.1296)	Prec@1 30.859 (28.228)	Prec@5 56.641 (56.737)
Epoch: [45][4410/7045]	Time 0.101 (0.248)	Data 0.046 (0.187)	Loss 3.2215 (3.1295)	Prec@1 28.516 (28.228)	Prec@5 54.688 (56.738)
Epoch: [45][4420/7045]	Time 0.318 (0.248)	Data 0.260 (0.187)	Loss 3.1505 (3.1297)	Prec@1 27.734 (28.226)	Prec@5 55.469 (56.734)
Epoch: [45][4430/7045]	Time 0.160 (0.248)	Data 0.108 (0.187)	Loss 3.0386 (3.1297)	Prec@1 28.125 (28.226)	Prec@5 58.984 (56.733)
Epoch: [45][4440/7045]	Time 0.383 (0.248)	Data 0.332 (0.187)	Loss 3.2922 (3.1297)	Prec@1 28.516 (28.226)	Prec@5 54.297 (56.731)
Epoch: [45][4450/7045]	Time 0.139 (0.248)	Data 0.088 (0.187)	Loss 3.0655 (3.1297)	Prec@1 30.469 (28.228)	Prec@5 56.641 (56.730)
Epoch: [45][4460/7045]	Time 0.369 (0.248)	Data 0.317 (0.187)	Loss 3.1972 (3.1297)	Prec@1 26.562 (28.227)	Prec@5 55.078 (56.730)
Epoch: [45][4470/7045]	Time 0.111 (0.248)	Data 0.060 (0.187)	Loss 3.1844 (3.1296)	Prec@1 30.859 (28.227)	Prec@5 54.297 (56.732)
Epoch: [45][4480/7045]	Time 0.552 (0.248)	Data 0.501 (0.187)	Loss 3.0680 (3.1296)	Prec@1 28.516 (28.228)	Prec@5 58.203 (56.733)
Epoch: [45][4490/7045]	Time 0.269 (0.248)	Data 0.218 (0.187)	Loss 3.1611 (3.1296)	Prec@1 28.906 (28.227)	Prec@5 51.953 (56.732)
Epoch: [45][4500/7045]	Time 0.481 (0.248)	Data 0.430 (0.187)	Loss 3.4158 (3.1296)	Prec@1 25.781 (28.226)	Prec@5 54.297 (56.734)
Epoch: [45][4510/7045]	Time 0.348 (0.248)	Data 0.297 (0.187)	Loss 3.0308 (3.1295)	Prec@1 30.078 (28.229)	Prec@5 62.109 (56.736)
Epoch: [45][4520/7045]	Time 0.421 (0.248)	Data 0.371 (0.187)	Loss 3.2440 (3.1295)	Prec@1 27.734 (28.231)	Prec@5 53.125 (56.736)
Epoch: [45][4530/7045]	Time 0.280 (0.248)	Data 0.229 (0.187)	Loss 3.2553 (3.1294)	Prec@1 30.469 (28.232)	Prec@5 52.734 (56.737)
Epoch: [45][4540/7045]	Time 0.217 (0.248)	Data 0.166 (0.187)	Loss 3.1139 (3.1296)	Prec@1 26.953 (28.230)	Prec@5 52.734 (56.735)
Epoch: [45][4550/7045]	Time 0.280 (0.248)	Data 0.227 (0.187)	Loss 3.0815 (3.1295)	Prec@1 28.906 (28.232)	Prec@5 58.594 (56.735)
Epoch: [45][4560/7045]	Time 0.111 (0.248)	Data 0.059 (0.187)	Loss 3.1732 (3.1294)	Prec@1 24.219 (28.231)	Prec@5 51.953 (56.734)
Epoch: [45][4570/7045]	Time 0.216 (0.248)	Data 0.164 (0.187)	Loss 3.3111 (3.1295)	Prec@1 25.391 (28.228)	Prec@5 51.562 (56.734)
Epoch: [45][4580/7045]	Time 0.101 (0.248)	Data 0.006 (0.187)	Loss 3.2295 (3.1294)	Prec@1 29.688 (28.229)	Prec@5 53.125 (56.735)
Epoch: [45][4590/7045]	Time 0.123 (0.248)	Data 0.072 (0.187)	Loss 3.0521 (3.1293)	Prec@1 27.344 (28.230)	Prec@5 57.031 (56.735)
Epoch: [45][4600/7045]	Time 0.107 (0.248)	Data 0.055 (0.187)	Loss 3.1751 (3.1293)	Prec@1 27.734 (28.227)	Prec@5 58.984 (56.735)
Epoch: [45][4610/7045]	Time 0.103 (0.248)	Data 0.012 (0.187)	Loss 3.2166 (3.1295)	Prec@1 31.250 (28.224)	Prec@5 52.344 (56.730)
Epoch: [45][4620/7045]	Time 0.101 (0.248)	Data 0.002 (0.187)	Loss 3.3296 (3.1297)	Prec@1 26.172 (28.223)	Prec@5 50.391 (56.726)
Epoch: [45][4630/7045]	Time 0.107 (0.248)	Data 0.055 (0.187)	Loss 3.2011 (3.1297)	Prec@1 27.734 (28.220)	Prec@5 54.688 (56.726)
Epoch: [45][4640/7045]	Time 0.135 (0.248)	Data 0.085 (0.187)	Loss 3.0242 (3.1296)	Prec@1 28.906 (28.225)	Prec@5 57.031 (56.728)
Epoch: [45][4650/7045]	Time 0.251 (0.248)	Data 0.200 (0.187)	Loss 3.0527 (3.1294)	Prec@1 30.469 (28.230)	Prec@5 57.812 (56.733)
Epoch: [45][4660/7045]	Time 0.100 (0.248)	Data 0.001 (0.187)	Loss 2.9902 (3.1294)	Prec@1 27.344 (28.231)	Prec@5 60.938 (56.736)
Epoch: [45][4670/7045]	Time 0.277 (0.248)	Data 0.227 (0.187)	Loss 3.1459 (3.1293)	Prec@1 28.125 (28.235)	Prec@5 59.766 (56.738)
Epoch: [45][4680/7045]	Time 0.298 (0.248)	Data 0.248 (0.187)	Loss 3.1515 (3.1291)	Prec@1 31.641 (28.236)	Prec@5 56.250 (56.741)
Epoch: [45][4690/7045]	Time 0.290 (0.248)	Data 0.239 (0.187)	Loss 3.1140 (3.1291)	Prec@1 27.344 (28.237)	Prec@5 55.469 (56.743)
Epoch: [45][4700/7045]	Time 0.411 (0.248)	Data 0.358 (0.187)	Loss 3.1399 (3.1293)	Prec@1 25.000 (28.231)	Prec@5 53.125 (56.740)
Epoch: [45][4710/7045]	Time 0.109 (0.248)	Data 0.056 (0.187)	Loss 3.0707 (3.1294)	Prec@1 32.031 (28.231)	Prec@5 54.688 (56.737)
Epoch: [45][4720/7045]	Time 0.425 (0.248)	Data 0.375 (0.187)	Loss 3.0536 (3.1293)	Prec@1 28.125 (28.234)	Prec@5 55.859 (56.735)
Epoch: [45][4730/7045]	Time 0.102 (0.248)	Data 0.005 (0.187)	Loss 3.1575 (3.1293)	Prec@1 26.562 (28.232)	Prec@5 53.516 (56.735)
Epoch: [45][4740/7045]	Time 0.417 (0.248)	Data 0.366 (0.187)	Loss 3.0742 (3.1293)	Prec@1 28.516 (28.233)	Prec@5 57.422 (56.734)
Epoch: [45][4750/7045]	Time 0.338 (0.248)	Data 0.286 (0.187)	Loss 3.2036 (3.1293)	Prec@1 26.172 (28.235)	Prec@5 58.203 (56.737)
Epoch: [45][4760/7045]	Time 0.201 (0.248)	Data 0.150 (0.187)	Loss 3.0270 (3.1294)	Prec@1 28.906 (28.233)	Prec@5 58.594 (56.737)
Epoch: [45][4770/7045]	Time 0.453 (0.248)	Data 0.402 (0.187)	Loss 3.1215 (3.1294)	Prec@1 28.125 (28.233)	Prec@5 58.594 (56.738)
Epoch: [45][4780/7045]	Time 0.210 (0.248)	Data 0.159 (0.187)	Loss 3.2211 (3.1295)	Prec@1 23.828 (28.232)	Prec@5 55.469 (56.738)
Epoch: [45][4790/7045]	Time 0.388 (0.248)	Data 0.338 (0.187)	Loss 3.3802 (3.1295)	Prec@1 24.219 (28.231)	Prec@5 53.125 (56.740)
Epoch: [45][4800/7045]	Time 0.100 (0.248)	Data 0.048 (0.187)	Loss 3.1085 (3.1295)	Prec@1 30.078 (28.229)	Prec@5 57.422 (56.737)
Epoch: [45][4810/7045]	Time 0.482 (0.248)	Data 0.431 (0.187)	Loss 3.2438 (3.1295)	Prec@1 28.125 (28.230)	Prec@5 53.906 (56.739)
Epoch: [45][4820/7045]	Time 0.207 (0.248)	Data 0.157 (0.187)	Loss 3.2169 (3.1296)	Prec@1 27.344 (28.229)	Prec@5 56.641 (56.737)
Epoch: [45][4830/7045]	Time 0.222 (0.248)	Data 0.172 (0.187)	Loss 3.2347 (3.1295)	Prec@1 26.562 (28.231)	Prec@5 52.734 (56.738)
Epoch: [45][4840/7045]	Time 0.126 (0.248)	Data 0.075 (0.187)	Loss 3.2519 (3.1293)	Prec@1 25.781 (28.234)	Prec@5 53.906 (56.740)
Epoch: [45][4850/7045]	Time 0.103 (0.248)	Data 0.001 (0.187)	Loss 3.2257 (3.1294)	Prec@1 27.734 (28.233)	Prec@5 54.688 (56.738)
Epoch: [45][4860/7045]	Time 0.101 (0.248)	Data 0.001 (0.187)	Loss 3.2494 (3.1293)	Prec@1 26.172 (28.233)	Prec@5 56.250 (56.740)
Epoch: [45][4870/7045]	Time 0.284 (0.248)	Data 0.233 (0.187)	Loss 3.0575 (3.1294)	Prec@1 30.469 (28.232)	Prec@5 55.859 (56.741)
Epoch: [45][4880/7045]	Time 0.102 (0.248)	Data 0.001 (0.187)	Loss 3.1795 (3.1294)	Prec@1 26.172 (28.229)	Prec@5 52.734 (56.740)
Epoch: [45][4890/7045]	Time 0.278 (0.248)	Data 0.220 (0.187)	Loss 3.2407 (3.1294)	Prec@1 22.266 (28.228)	Prec@5 54.688 (56.739)
Epoch: [45][4900/7045]	Time 0.164 (0.248)	Data 0.112 (0.187)	Loss 3.0692 (3.1294)	Prec@1 25.781 (28.229)	Prec@5 55.859 (56.741)
Epoch: [45][4910/7045]	Time 0.171 (0.248)	Data 0.119 (0.187)	Loss 3.0771 (3.1294)	Prec@1 26.562 (28.228)	Prec@5 58.594 (56.743)
Epoch: [45][4920/7045]	Time 0.438 (0.248)	Data 0.386 (0.187)	Loss 3.1947 (3.1294)	Prec@1 29.297 (28.226)	Prec@5 56.250 (56.744)
Epoch: [45][4930/7045]	Time 0.141 (0.248)	Data 0.090 (0.187)	Loss 3.0144 (3.1294)	Prec@1 29.297 (28.226)	Prec@5 58.203 (56.744)
Epoch: [45][4940/7045]	Time 0.731 (0.248)	Data 0.679 (0.187)	Loss 2.9775 (3.1294)	Prec@1 32.422 (28.226)	Prec@5 59.766 (56.745)
Epoch: [45][4950/7045]	Time 0.108 (0.248)	Data 0.001 (0.187)	Loss 3.1399 (3.1293)	Prec@1 25.781 (28.224)	Prec@5 59.375 (56.747)
Epoch: [45][4960/7045]	Time 0.635 (0.248)	Data 0.584 (0.187)	Loss 3.1086 (3.1294)	Prec@1 31.641 (28.224)	Prec@5 57.031 (56.746)
Epoch: [45][4970/7045]	Time 0.119 (0.248)	Data 0.062 (0.187)	Loss 3.1804 (3.1295)	Prec@1 26.562 (28.221)	Prec@5 57.031 (56.743)
Epoch: [45][4980/7045]	Time 0.594 (0.248)	Data 0.543 (0.187)	Loss 3.2603 (3.1294)	Prec@1 25.000 (28.222)	Prec@5 51.562 (56.744)
Epoch: [45][4990/7045]	Time 0.140 (0.248)	Data 0.088 (0.186)	Loss 3.1393 (3.1293)	Prec@1 30.078 (28.225)	Prec@5 57.031 (56.746)
Epoch: [45][5000/7045]	Time 0.357 (0.248)	Data 0.301 (0.187)	Loss 3.2712 (3.1294)	Prec@1 27.344 (28.223)	Prec@5 53.906 (56.743)
Epoch: [45][5010/7045]	Time 0.097 (0.248)	Data 0.044 (0.186)	Loss 3.1456 (3.1294)	Prec@1 28.516 (28.222)	Prec@5 56.641 (56.743)
Epoch: [45][5020/7045]	Time 0.126 (0.248)	Data 0.075 (0.186)	Loss 3.1857 (3.1293)	Prec@1 26.172 (28.222)	Prec@5 52.344 (56.743)
Epoch: [45][5030/7045]	Time 0.100 (0.248)	Data 0.048 (0.186)	Loss 3.2512 (3.1292)	Prec@1 25.781 (28.223)	Prec@5 56.641 (56.742)
Epoch: [45][5040/7045]	Time 0.156 (0.248)	Data 0.105 (0.186)	Loss 3.0979 (3.1293)	Prec@1 28.906 (28.223)	Prec@5 56.641 (56.742)
Epoch: [45][5050/7045]	Time 0.126 (0.248)	Data 0.075 (0.186)	Loss 3.1498 (3.1295)	Prec@1 27.344 (28.220)	Prec@5 54.688 (56.738)
Epoch: [45][5060/7045]	Time 0.149 (0.248)	Data 0.099 (0.186)	Loss 3.3382 (3.1294)	Prec@1 22.266 (28.220)	Prec@5 55.078 (56.741)
Epoch: [45][5070/7045]	Time 0.108 (0.248)	Data 0.055 (0.186)	Loss 3.1473 (3.1294)	Prec@1 29.297 (28.217)	Prec@5 55.469 (56.741)
Epoch: [45][5080/7045]	Time 0.103 (0.247)	Data 0.052 (0.186)	Loss 3.0009 (3.1293)	Prec@1 29.688 (28.218)	Prec@5 56.641 (56.743)
Epoch: [45][5090/7045]	Time 0.170 (0.247)	Data 0.120 (0.186)	Loss 3.3002 (3.1293)	Prec@1 21.484 (28.215)	Prec@5 55.078 (56.742)
Epoch: [45][5100/7045]	Time 0.102 (0.247)	Data 0.006 (0.186)	Loss 3.1501 (3.1294)	Prec@1 25.391 (28.213)	Prec@5 54.688 (56.741)
Epoch: [45][5110/7045]	Time 0.101 (0.247)	Data 0.004 (0.186)	Loss 3.1251 (3.1294)	Prec@1 25.391 (28.210)	Prec@5 55.078 (56.739)
Epoch: [45][5120/7045]	Time 0.099 (0.247)	Data 0.045 (0.186)	Loss 3.1513 (3.1294)	Prec@1 29.688 (28.210)	Prec@5 56.250 (56.741)
Epoch: [45][5130/7045]	Time 0.107 (0.247)	Data 0.054 (0.186)	Loss 3.1046 (3.1294)	Prec@1 25.781 (28.211)	Prec@5 56.641 (56.742)
Epoch: [45][5140/7045]	Time 0.102 (0.247)	Data 0.006 (0.186)	Loss 2.9651 (3.1294)	Prec@1 30.859 (28.210)	Prec@5 58.203 (56.741)
Epoch: [45][5150/7045]	Time 0.102 (0.247)	Data 0.048 (0.186)	Loss 2.9109 (3.1294)	Prec@1 33.594 (28.210)	Prec@5 60.156 (56.743)
Epoch: [45][5160/7045]	Time 0.103 (0.247)	Data 0.004 (0.186)	Loss 2.9492 (3.1294)	Prec@1 28.906 (28.209)	Prec@5 59.766 (56.744)
Epoch: [45][5170/7045]	Time 0.101 (0.247)	Data 0.004 (0.186)	Loss 3.1962 (3.1293)	Prec@1 28.516 (28.212)	Prec@5 54.688 (56.746)
Epoch: [45][5180/7045]	Time 0.102 (0.247)	Data 0.005 (0.186)	Loss 3.2123 (3.1294)	Prec@1 26.172 (28.210)	Prec@5 53.906 (56.744)
Epoch: [45][5190/7045]	Time 0.107 (0.247)	Data 0.002 (0.186)	Loss 3.0771 (3.1294)	Prec@1 29.297 (28.213)	Prec@5 61.328 (56.746)
Epoch: [45][5200/7045]	Time 0.102 (0.247)	Data 0.001 (0.186)	Loss 2.7669 (3.1293)	Prec@1 34.375 (28.213)	Prec@5 64.453 (56.746)
Epoch: [45][5210/7045]	Time 0.106 (0.247)	Data 0.052 (0.186)	Loss 3.1041 (3.1292)	Prec@1 29.688 (28.217)	Prec@5 55.859 (56.748)
Epoch: [45][5220/7045]	Time 0.150 (0.247)	Data 0.100 (0.186)	Loss 3.2906 (3.1293)	Prec@1 25.391 (28.217)	Prec@5 50.781 (56.747)
Epoch: [45][5230/7045]	Time 0.104 (0.247)	Data 0.006 (0.186)	Loss 3.3153 (3.1294)	Prec@1 25.391 (28.215)	Prec@5 49.609 (56.745)
Epoch: [45][5240/7045]	Time 0.367 (0.247)	Data 0.316 (0.186)	Loss 3.1109 (3.1294)	Prec@1 28.906 (28.213)	Prec@5 59.375 (56.745)
Epoch: [45][5250/7045]	Time 0.102 (0.247)	Data 0.005 (0.186)	Loss 2.9433 (3.1295)	Prec@1 26.953 (28.210)	Prec@5 60.156 (56.746)
Epoch: [45][5260/7045]	Time 0.629 (0.247)	Data 0.572 (0.186)	Loss 3.1674 (3.1294)	Prec@1 25.000 (28.209)	Prec@5 58.203 (56.747)
Epoch: [45][5270/7045]	Time 0.102 (0.247)	Data 0.001 (0.186)	Loss 2.8359 (3.1294)	Prec@1 30.469 (28.210)	Prec@5 64.062 (56.747)
Epoch: [45][5280/7045]	Time 0.628 (0.247)	Data 0.567 (0.186)	Loss 3.2709 (3.1294)	Prec@1 25.000 (28.210)	Prec@5 51.953 (56.748)
Epoch: [45][5290/7045]	Time 0.109 (0.247)	Data 0.004 (0.186)	Loss 3.2266 (3.1293)	Prec@1 26.562 (28.210)	Prec@5 59.375 (56.751)
Epoch: [45][5300/7045]	Time 0.616 (0.247)	Data 0.560 (0.186)	Loss 3.0948 (3.1293)	Prec@1 28.906 (28.208)	Prec@5 55.078 (56.750)
Epoch: [45][5310/7045]	Time 0.176 (0.247)	Data 0.124 (0.186)	Loss 3.3551 (3.1293)	Prec@1 22.656 (28.206)	Prec@5 51.562 (56.748)
Epoch: [45][5320/7045]	Time 0.218 (0.247)	Data 0.168 (0.186)	Loss 2.9770 (3.1291)	Prec@1 32.031 (28.209)	Prec@5 58.203 (56.751)
Epoch: [45][5330/7045]	Time 0.207 (0.247)	Data 0.155 (0.186)	Loss 3.2196 (3.1292)	Prec@1 31.250 (28.210)	Prec@5 53.125 (56.748)
Epoch: [45][5340/7045]	Time 0.148 (0.247)	Data 0.098 (0.186)	Loss 3.0799 (3.1291)	Prec@1 29.688 (28.211)	Prec@5 58.594 (56.752)
Epoch: [45][5350/7045]	Time 0.241 (0.247)	Data 0.190 (0.186)	Loss 3.4048 (3.1292)	Prec@1 26.953 (28.209)	Prec@5 50.391 (56.749)
Epoch: [45][5360/7045]	Time 0.111 (0.247)	Data 0.059 (0.186)	Loss 3.0905 (3.1293)	Prec@1 26.172 (28.208)	Prec@5 55.859 (56.748)
Epoch: [45][5370/7045]	Time 0.123 (0.247)	Data 0.071 (0.186)	Loss 3.2505 (3.1293)	Prec@1 29.297 (28.207)	Prec@5 56.641 (56.747)
Epoch: [45][5380/7045]	Time 0.107 (0.247)	Data 0.054 (0.186)	Loss 3.1675 (3.1293)	Prec@1 28.516 (28.207)	Prec@5 55.469 (56.749)
Epoch: [45][5390/7045]	Time 0.162 (0.247)	Data 0.112 (0.186)	Loss 3.1646 (3.1293)	Prec@1 26.953 (28.206)	Prec@5 56.250 (56.748)
Epoch: [45][5400/7045]	Time 0.150 (0.247)	Data 0.091 (0.186)	Loss 2.9034 (3.1293)	Prec@1 33.203 (28.205)	Prec@5 62.109 (56.749)
Epoch: [45][5410/7045]	Time 0.204 (0.247)	Data 0.153 (0.186)	Loss 2.8937 (3.1293)	Prec@1 30.078 (28.205)	Prec@5 62.109 (56.750)
Epoch: [45][5420/7045]	Time 0.171 (0.247)	Data 0.120 (0.186)	Loss 3.2128 (3.1292)	Prec@1 25.781 (28.207)	Prec@5 57.812 (56.754)
Epoch: [45][5430/7045]	Time 0.250 (0.247)	Data 0.199 (0.186)	Loss 3.0587 (3.1292)	Prec@1 28.125 (28.206)	Prec@5 59.375 (56.753)
Epoch: [45][5440/7045]	Time 0.166 (0.247)	Data 0.115 (0.186)	Loss 2.9752 (3.1293)	Prec@1 27.734 (28.205)	Prec@5 57.422 (56.750)
Epoch: [45][5450/7045]	Time 0.245 (0.247)	Data 0.195 (0.186)	Loss 3.0899 (3.1294)	Prec@1 26.953 (28.205)	Prec@5 56.250 (56.748)
Epoch: [45][5460/7045]	Time 0.154 (0.247)	Data 0.104 (0.186)	Loss 3.1227 (3.1293)	Prec@1 30.078 (28.206)	Prec@5 58.984 (56.750)
Epoch: [45][5470/7045]	Time 0.431 (0.247)	Data 0.381 (0.186)	Loss 3.1630 (3.1293)	Prec@1 28.516 (28.207)	Prec@5 59.766 (56.752)
Epoch: [45][5480/7045]	Time 0.109 (0.247)	Data 0.001 (0.186)	Loss 3.0834 (3.1293)	Prec@1 28.906 (28.209)	Prec@5 58.594 (56.753)
Epoch: [45][5490/7045]	Time 0.399 (0.247)	Data 0.348 (0.186)	Loss 3.1411 (3.1292)	Prec@1 25.781 (28.207)	Prec@5 54.297 (56.755)
Epoch: [45][5500/7045]	Time 0.345 (0.247)	Data 0.295 (0.186)	Loss 3.3668 (3.1292)	Prec@1 23.047 (28.207)	Prec@5 51.953 (56.756)
Epoch: [45][5510/7045]	Time 0.102 (0.247)	Data 0.001 (0.186)	Loss 3.2082 (3.1292)	Prec@1 28.516 (28.205)	Prec@5 55.078 (56.755)
Epoch: [45][5520/7045]	Time 0.555 (0.247)	Data 0.504 (0.186)	Loss 3.2908 (3.1292)	Prec@1 26.172 (28.204)	Prec@5 52.734 (56.755)
Epoch: [45][5530/7045]	Time 0.307 (0.247)	Data 0.256 (0.186)	Loss 2.9756 (3.1293)	Prec@1 32.812 (28.204)	Prec@5 61.328 (56.754)
Epoch: [45][5540/7045]	Time 0.185 (0.247)	Data 0.134 (0.186)	Loss 3.0878 (3.1293)	Prec@1 28.125 (28.204)	Prec@5 55.469 (56.753)
Epoch: [45][5550/7045]	Time 0.105 (0.247)	Data 0.054 (0.186)	Loss 3.1321 (3.1292)	Prec@1 26.953 (28.206)	Prec@5 53.906 (56.754)
Epoch: [45][5560/7045]	Time 0.104 (0.247)	Data 0.052 (0.186)	Loss 3.1261 (3.1292)	Prec@1 28.906 (28.208)	Prec@5 59.375 (56.755)
Epoch: [45][5570/7045]	Time 0.101 (0.247)	Data 0.046 (0.186)	Loss 3.0623 (3.1292)	Prec@1 26.562 (28.206)	Prec@5 54.297 (56.754)
Epoch: [45][5580/7045]	Time 0.159 (0.247)	Data 0.108 (0.186)	Loss 2.8201 (3.1292)	Prec@1 33.203 (28.205)	Prec@5 57.812 (56.753)
Epoch: [45][5590/7045]	Time 0.397 (0.247)	Data 0.346 (0.186)	Loss 2.8566 (3.1290)	Prec@1 34.375 (28.206)	Prec@5 64.844 (56.757)
Epoch: [45][5600/7045]	Time 0.103 (0.247)	Data 0.052 (0.186)	Loss 2.8943 (3.1288)	Prec@1 30.469 (28.209)	Prec@5 62.109 (56.761)
Epoch: [45][5610/7045]	Time 0.579 (0.247)	Data 0.528 (0.186)	Loss 3.1018 (3.1288)	Prec@1 25.391 (28.207)	Prec@5 57.812 (56.762)
Epoch: [45][5620/7045]	Time 0.229 (0.247)	Data 0.177 (0.186)	Loss 3.1512 (3.1289)	Prec@1 22.656 (28.205)	Prec@5 56.641 (56.762)
Epoch: [45][5630/7045]	Time 0.433 (0.247)	Data 0.382 (0.186)	Loss 2.9737 (3.1289)	Prec@1 28.125 (28.202)	Prec@5 58.203 (56.764)
Epoch: [45][5640/7045]	Time 0.219 (0.247)	Data 0.168 (0.186)	Loss 3.1529 (3.1289)	Prec@1 26.953 (28.201)	Prec@5 54.297 (56.761)
Epoch: [45][5650/7045]	Time 0.101 (0.247)	Data 0.004 (0.186)	Loss 3.0706 (3.1288)	Prec@1 28.516 (28.202)	Prec@5 59.766 (56.763)
Epoch: [45][5660/7045]	Time 0.119 (0.247)	Data 0.067 (0.186)	Loss 3.2873 (3.1287)	Prec@1 26.562 (28.204)	Prec@5 53.516 (56.765)
Epoch: [45][5670/7045]	Time 0.215 (0.247)	Data 0.163 (0.186)	Loss 3.4167 (3.1288)	Prec@1 26.953 (28.202)	Prec@5 51.562 (56.764)
Epoch: [45][5680/7045]	Time 0.101 (0.247)	Data 0.001 (0.186)	Loss 3.1253 (3.1290)	Prec@1 28.516 (28.199)	Prec@5 58.594 (56.761)
Epoch: [45][5690/7045]	Time 0.400 (0.247)	Data 0.349 (0.186)	Loss 3.0699 (3.1290)	Prec@1 32.812 (28.200)	Prec@5 57.422 (56.759)
Epoch: [45][5700/7045]	Time 0.211 (0.247)	Data 0.160 (0.186)	Loss 3.1770 (3.1291)	Prec@1 29.297 (28.198)	Prec@5 57.812 (56.757)
Epoch: [45][5710/7045]	Time 0.394 (0.247)	Data 0.342 (0.186)	Loss 3.2972 (3.1293)	Prec@1 28.125 (28.196)	Prec@5 52.344 (56.754)
Epoch: [45][5720/7045]	Time 0.418 (0.247)	Data 0.363 (0.186)	Loss 3.2056 (3.1293)	Prec@1 23.438 (28.197)	Prec@5 53.906 (56.753)
Epoch: [45][5730/7045]	Time 0.141 (0.247)	Data 0.090 (0.186)	Loss 3.0620 (3.1292)	Prec@1 28.125 (28.196)	Prec@5 58.203 (56.753)
Epoch: [45][5740/7045]	Time 0.302 (0.247)	Data 0.251 (0.186)	Loss 2.9210 (3.1293)	Prec@1 33.203 (28.196)	Prec@5 58.203 (56.754)
Epoch: [45][5750/7045]	Time 0.148 (0.247)	Data 0.098 (0.186)	Loss 3.0029 (3.1293)	Prec@1 31.641 (28.199)	Prec@5 62.891 (56.753)
Epoch: [45][5760/7045]	Time 0.230 (0.247)	Data 0.180 (0.186)	Loss 3.2553 (3.1294)	Prec@1 28.125 (28.197)	Prec@5 55.859 (56.751)
Epoch: [45][5770/7045]	Time 0.349 (0.247)	Data 0.291 (0.186)	Loss 3.0164 (3.1294)	Prec@1 29.688 (28.195)	Prec@5 60.156 (56.751)
Epoch: [45][5780/7045]	Time 0.103 (0.247)	Data 0.015 (0.186)	Loss 3.1784 (3.1294)	Prec@1 25.781 (28.195)	Prec@5 55.469 (56.751)
Epoch: [45][5790/7045]	Time 0.461 (0.247)	Data 0.409 (0.186)	Loss 3.1906 (3.1294)	Prec@1 28.125 (28.195)	Prec@5 55.859 (56.752)
Epoch: [45][5800/7045]	Time 0.148 (0.247)	Data 0.097 (0.186)	Loss 3.0979 (3.1294)	Prec@1 31.250 (28.196)	Prec@5 57.422 (56.753)
Epoch: [45][5810/7045]	Time 0.430 (0.247)	Data 0.379 (0.186)	Loss 3.0577 (3.1294)	Prec@1 30.469 (28.196)	Prec@5 58.203 (56.754)
Epoch: [45][5820/7045]	Time 0.447 (0.247)	Data 0.396 (0.186)	Loss 3.0793 (3.1294)	Prec@1 27.734 (28.198)	Prec@5 57.812 (56.754)
Epoch: [45][5830/7045]	Time 0.295 (0.247)	Data 0.243 (0.186)	Loss 3.1589 (3.1294)	Prec@1 26.953 (28.198)	Prec@5 57.031 (56.755)
Epoch: [45][5840/7045]	Time 0.419 (0.247)	Data 0.369 (0.186)	Loss 3.2034 (3.1294)	Prec@1 23.047 (28.194)	Prec@5 54.297 (56.754)
Epoch: [45][5850/7045]	Time 0.102 (0.247)	Data 0.006 (0.186)	Loss 3.1246 (3.1294)	Prec@1 32.812 (28.196)	Prec@5 58.203 (56.755)
Epoch: [45][5860/7045]	Time 0.399 (0.247)	Data 0.348 (0.186)	Loss 3.1470 (3.1293)	Prec@1 30.859 (28.199)	Prec@5 58.594 (56.755)
Epoch: [45][5870/7045]	Time 0.177 (0.247)	Data 0.120 (0.186)	Loss 2.9916 (3.1293)	Prec@1 28.906 (28.200)	Prec@5 60.547 (56.755)
Epoch: [45][5880/7045]	Time 0.360 (0.247)	Data 0.309 (0.186)	Loss 3.0763 (3.1293)	Prec@1 31.641 (28.200)	Prec@5 59.766 (56.754)
Epoch: [45][5890/7045]	Time 0.304 (0.247)	Data 0.253 (0.186)	Loss 3.1420 (3.1293)	Prec@1 29.297 (28.201)	Prec@5 55.859 (56.753)
Epoch: [45][5900/7045]	Time 0.101 (0.247)	Data 0.001 (0.186)	Loss 3.1035 (3.1293)	Prec@1 28.906 (28.202)	Prec@5 55.859 (56.752)
Epoch: [45][5910/7045]	Time 0.385 (0.247)	Data 0.334 (0.186)	Loss 3.1352 (3.1294)	Prec@1 26.562 (28.199)	Prec@5 56.250 (56.752)
Epoch: [45][5920/7045]	Time 0.136 (0.247)	Data 0.083 (0.186)	Loss 3.0312 (3.1292)	Prec@1 26.172 (28.200)	Prec@5 58.594 (56.756)
Epoch: [45][5930/7045]	Time 0.331 (0.247)	Data 0.278 (0.186)	Loss 3.4419 (3.1293)	Prec@1 26.953 (28.198)	Prec@5 49.219 (56.752)
Epoch: [45][5940/7045]	Time 0.180 (0.247)	Data 0.129 (0.186)	Loss 3.1006 (3.1293)	Prec@1 30.078 (28.201)	Prec@5 57.812 (56.751)
Epoch: [45][5950/7045]	Time 0.101 (0.247)	Data 0.049 (0.186)	Loss 3.1816 (3.1294)	Prec@1 27.344 (28.199)	Prec@5 53.516 (56.748)
Epoch: [45][5960/7045]	Time 0.143 (0.247)	Data 0.091 (0.186)	Loss 3.1577 (3.1293)	Prec@1 27.734 (28.201)	Prec@5 56.250 (56.750)
Epoch: [45][5970/7045]	Time 0.108 (0.247)	Data 0.006 (0.186)	Loss 2.7283 (3.1293)	Prec@1 32.812 (28.199)	Prec@5 64.453 (56.750)
Epoch: [45][5980/7045]	Time 0.105 (0.247)	Data 0.054 (0.186)	Loss 3.2697 (3.1293)	Prec@1 23.438 (28.199)	Prec@5 52.344 (56.749)
Epoch: [45][5990/7045]	Time 0.105 (0.247)	Data 0.002 (0.186)	Loss 3.2026 (3.1293)	Prec@1 29.297 (28.199)	Prec@5 57.031 (56.750)
Epoch: [45][6000/7045]	Time 0.102 (0.247)	Data 0.001 (0.185)	Loss 2.9893 (3.1292)	Prec@1 26.172 (28.200)	Prec@5 60.156 (56.752)
Epoch: [45][6010/7045]	Time 0.101 (0.247)	Data 0.007 (0.186)	Loss 3.0844 (3.1293)	Prec@1 30.859 (28.199)	Prec@5 57.812 (56.752)
Epoch: [45][6020/7045]	Time 0.156 (0.247)	Data 0.105 (0.185)	Loss 3.2475 (3.1295)	Prec@1 28.516 (28.196)	Prec@5 53.125 (56.748)
Epoch: [45][6030/7045]	Time 0.101 (0.247)	Data 0.013 (0.185)	Loss 3.2020 (3.1295)	Prec@1 27.344 (28.195)	Prec@5 57.422 (56.748)
Epoch: [45][6040/7045]	Time 0.492 (0.247)	Data 0.442 (0.185)	Loss 3.3308 (3.1295)	Prec@1 28.516 (28.195)	Prec@5 54.297 (56.747)
Epoch: [45][6050/7045]	Time 0.102 (0.247)	Data 0.007 (0.185)	Loss 3.1270 (3.1295)	Prec@1 26.953 (28.196)	Prec@5 53.516 (56.746)
Epoch: [45][6060/7045]	Time 0.668 (0.247)	Data 0.616 (0.185)	Loss 3.1484 (3.1296)	Prec@1 27.344 (28.193)	Prec@5 54.688 (56.743)
Epoch: [45][6070/7045]	Time 0.102 (0.247)	Data 0.001 (0.185)	Loss 3.1749 (3.1294)	Prec@1 26.562 (28.194)	Prec@5 56.250 (56.745)
Epoch: [45][6080/7045]	Time 0.636 (0.247)	Data 0.579 (0.185)	Loss 3.1069 (3.1294)	Prec@1 30.859 (28.195)	Prec@5 53.125 (56.743)
Epoch: [45][6090/7045]	Time 0.123 (0.247)	Data 0.072 (0.185)	Loss 3.0171 (3.1295)	Prec@1 30.469 (28.194)	Prec@5 56.250 (56.742)
Epoch: [45][6100/7045]	Time 0.497 (0.247)	Data 0.439 (0.185)	Loss 3.2683 (3.1295)	Prec@1 24.219 (28.193)	Prec@5 53.516 (56.740)
Epoch: [45][6110/7045]	Time 0.104 (0.247)	Data 0.052 (0.185)	Loss 3.0022 (3.1295)	Prec@1 26.172 (28.193)	Prec@5 57.812 (56.742)
Epoch: [45][6120/7045]	Time 0.208 (0.247)	Data 0.158 (0.185)	Loss 3.2268 (3.1295)	Prec@1 27.344 (28.191)	Prec@5 57.812 (56.741)
Epoch: [45][6130/7045]	Time 0.137 (0.247)	Data 0.085 (0.185)	Loss 3.1987 (3.1295)	Prec@1 22.656 (28.190)	Prec@5 55.078 (56.741)
Epoch: [45][6140/7045]	Time 0.102 (0.247)	Data 0.002 (0.185)	Loss 3.1947 (3.1296)	Prec@1 27.734 (28.189)	Prec@5 57.031 (56.742)
Epoch: [45][6150/7045]	Time 0.101 (0.247)	Data 0.003 (0.185)	Loss 3.2415 (3.1297)	Prec@1 29.297 (28.189)	Prec@5 55.078 (56.739)
Epoch: [45][6160/7045]	Time 0.102 (0.247)	Data 0.002 (0.185)	Loss 2.9407 (3.1297)	Prec@1 30.078 (28.190)	Prec@5 63.672 (56.742)
Epoch: [45][6170/7045]	Time 0.261 (0.247)	Data 0.210 (0.185)	Loss 2.9517 (3.1296)	Prec@1 33.203 (28.189)	Prec@5 58.594 (56.741)
Epoch: [45][6180/7045]	Time 0.102 (0.247)	Data 0.001 (0.185)	Loss 3.1378 (3.1296)	Prec@1 29.688 (28.191)	Prec@5 56.250 (56.741)
Epoch: [45][6190/7045]	Time 0.631 (0.247)	Data 0.579 (0.185)	Loss 3.2096 (3.1296)	Prec@1 28.906 (28.192)	Prec@5 53.906 (56.743)
Epoch: [45][6200/7045]	Time 0.101 (0.247)	Data 0.001 (0.185)	Loss 3.2600 (3.1296)	Prec@1 25.391 (28.189)	Prec@5 54.688 (56.742)
Epoch: [45][6210/7045]	Time 0.502 (0.247)	Data 0.452 (0.185)	Loss 3.0693 (3.1296)	Prec@1 29.688 (28.193)	Prec@5 56.250 (56.743)
Epoch: [45][6220/7045]	Time 0.251 (0.247)	Data 0.201 (0.185)	Loss 2.9895 (3.1296)	Prec@1 30.469 (28.190)	Prec@5 60.547 (56.742)
Epoch: [45][6230/7045]	Time 0.301 (0.247)	Data 0.244 (0.185)	Loss 3.0885 (3.1296)	Prec@1 31.250 (28.190)	Prec@5 54.688 (56.741)
Epoch: [45][6240/7045]	Time 0.407 (0.247)	Data 0.355 (0.185)	Loss 3.0699 (3.1296)	Prec@1 28.516 (28.191)	Prec@5 55.859 (56.740)
Epoch: [45][6250/7045]	Time 0.175 (0.247)	Data 0.125 (0.185)	Loss 3.1215 (3.1297)	Prec@1 24.609 (28.190)	Prec@5 54.688 (56.737)
Epoch: [45][6260/7045]	Time 0.295 (0.247)	Data 0.244 (0.185)	Loss 3.1099 (3.1297)	Prec@1 29.688 (28.190)	Prec@5 56.250 (56.738)
Epoch: [45][6270/7045]	Time 0.109 (0.247)	Data 0.051 (0.185)	Loss 3.2439 (3.1296)	Prec@1 26.172 (28.191)	Prec@5 54.688 (56.738)
Epoch: [45][6280/7045]	Time 0.286 (0.247)	Data 0.235 (0.185)	Loss 2.8239 (3.1295)	Prec@1 33.984 (28.194)	Prec@5 61.328 (56.741)
Epoch: [45][6290/7045]	Time 0.138 (0.247)	Data 0.086 (0.185)	Loss 3.0490 (3.1294)	Prec@1 29.297 (28.195)	Prec@5 60.547 (56.743)
Epoch: [45][6300/7045]	Time 0.199 (0.247)	Data 0.141 (0.185)	Loss 3.0648 (3.1293)	Prec@1 27.734 (28.197)	Prec@5 57.422 (56.745)
Epoch: [45][6310/7045]	Time 0.210 (0.247)	Data 0.158 (0.185)	Loss 3.1731 (3.1292)	Prec@1 26.172 (28.198)	Prec@5 53.516 (56.745)
Epoch: [45][6320/7045]	Time 0.138 (0.247)	Data 0.086 (0.185)	Loss 3.0200 (3.1292)	Prec@1 31.641 (28.198)	Prec@5 57.422 (56.745)
Epoch: [45][6330/7045]	Time 0.102 (0.247)	Data 0.051 (0.185)	Loss 3.4392 (3.1293)	Prec@1 27.344 (28.198)	Prec@5 53.516 (56.742)
Epoch: [45][6340/7045]	Time 0.102 (0.247)	Data 0.001 (0.185)	Loss 2.9766 (3.1292)	Prec@1 29.297 (28.198)	Prec@5 58.984 (56.744)
Epoch: [45][6350/7045]	Time 0.125 (0.247)	Data 0.074 (0.185)	Loss 3.1944 (3.1292)	Prec@1 29.297 (28.197)	Prec@5 53.906 (56.745)
Epoch: [45][6360/7045]	Time 0.107 (0.247)	Data 0.003 (0.185)	Loss 3.1826 (3.1292)	Prec@1 28.906 (28.198)	Prec@5 55.859 (56.745)
Epoch: [45][6370/7045]	Time 0.150 (0.247)	Data 0.098 (0.185)	Loss 2.8874 (3.1292)	Prec@1 30.859 (28.197)	Prec@5 60.156 (56.743)
Epoch: [45][6380/7045]	Time 0.132 (0.247)	Data 0.074 (0.185)	Loss 3.0673 (3.1291)	Prec@1 30.469 (28.199)	Prec@5 59.375 (56.745)
Epoch: [45][6390/7045]	Time 0.186 (0.246)	Data 0.134 (0.185)	Loss 3.0599 (3.1291)	Prec@1 29.688 (28.200)	Prec@5 60.156 (56.746)
Epoch: [45][6400/7045]	Time 0.102 (0.247)	Data 0.005 (0.185)	Loss 3.1144 (3.1291)	Prec@1 26.172 (28.198)	Prec@5 58.203 (56.746)
Epoch: [45][6410/7045]	Time 0.127 (0.246)	Data 0.073 (0.185)	Loss 3.0838 (3.1291)	Prec@1 28.516 (28.197)	Prec@5 56.250 (56.746)
Epoch: [45][6420/7045]	Time 0.112 (0.246)	Data 0.060 (0.185)	Loss 3.1988 (3.1292)	Prec@1 30.078 (28.196)	Prec@5 53.516 (56.744)
Epoch: [45][6430/7045]	Time 0.267 (0.246)	Data 0.215 (0.185)	Loss 3.0320 (3.1292)	Prec@1 29.297 (28.194)	Prec@5 57.422 (56.743)
Epoch: [45][6440/7045]	Time 0.111 (0.246)	Data 0.059 (0.185)	Loss 3.2351 (3.1292)	Prec@1 26.562 (28.194)	Prec@5 52.344 (56.742)
Epoch: [45][6450/7045]	Time 0.495 (0.246)	Data 0.445 (0.185)	Loss 3.2679 (3.1292)	Prec@1 26.172 (28.195)	Prec@5 53.906 (56.742)
Epoch: [45][6460/7045]	Time 0.109 (0.246)	Data 0.051 (0.185)	Loss 3.0386 (3.1291)	Prec@1 28.906 (28.194)	Prec@5 58.984 (56.742)
Epoch: [45][6470/7045]	Time 0.625 (0.246)	Data 0.566 (0.185)	Loss 2.9863 (3.1291)	Prec@1 27.344 (28.193)	Prec@5 60.156 (56.743)
Epoch: [45][6480/7045]	Time 0.104 (0.246)	Data 0.052 (0.185)	Loss 3.1984 (3.1291)	Prec@1 28.125 (28.196)	Prec@5 59.375 (56.745)
Epoch: [45][6490/7045]	Time 0.614 (0.246)	Data 0.564 (0.185)	Loss 3.2242 (3.1290)	Prec@1 27.734 (28.197)	Prec@5 54.297 (56.746)
Epoch: [45][6500/7045]	Time 0.103 (0.246)	Data 0.001 (0.185)	Loss 3.3653 (3.1291)	Prec@1 26.562 (28.196)	Prec@5 54.688 (56.744)
Epoch: [45][6510/7045]	Time 0.639 (0.246)	Data 0.582 (0.185)	Loss 3.1026 (3.1292)	Prec@1 28.516 (28.195)	Prec@5 59.766 (56.743)
Epoch: [45][6520/7045]	Time 0.234 (0.246)	Data 0.179 (0.185)	Loss 3.2435 (3.1293)	Prec@1 24.609 (28.193)	Prec@5 52.734 (56.743)
Epoch: [45][6530/7045]	Time 0.397 (0.246)	Data 0.340 (0.185)	Loss 3.3039 (3.1292)	Prec@1 25.000 (28.194)	Prec@5 53.906 (56.743)
Epoch: [45][6540/7045]	Time 0.298 (0.246)	Data 0.246 (0.185)	Loss 3.3174 (3.1291)	Prec@1 22.266 (28.196)	Prec@5 52.344 (56.746)
Epoch: [45][6550/7045]	Time 0.223 (0.246)	Data 0.172 (0.185)	Loss 2.9378 (3.1292)	Prec@1 33.594 (28.195)	Prec@5 60.547 (56.745)
Epoch: [45][6560/7045]	Time 0.306 (0.246)	Data 0.254 (0.185)	Loss 3.1012 (3.1292)	Prec@1 24.609 (28.194)	Prec@5 57.031 (56.743)
Epoch: [45][6570/7045]	Time 0.102 (0.246)	Data 0.003 (0.185)	Loss 3.0852 (3.1294)	Prec@1 25.781 (28.192)	Prec@5 57.031 (56.739)
Epoch: [45][6580/7045]	Time 0.273 (0.246)	Data 0.221 (0.185)	Loss 3.3297 (3.1294)	Prec@1 25.391 (28.190)	Prec@5 51.953 (56.738)
Epoch: [45][6590/7045]	Time 0.242 (0.246)	Data 0.186 (0.185)	Loss 3.2264 (3.1294)	Prec@1 28.516 (28.192)	Prec@5 57.031 (56.740)
Epoch: [45][6600/7045]	Time 0.117 (0.246)	Data 0.065 (0.185)	Loss 3.0341 (3.1293)	Prec@1 26.562 (28.195)	Prec@5 57.422 (56.743)
Epoch: [45][6610/7045]	Time 0.429 (0.246)	Data 0.379 (0.185)	Loss 3.0762 (3.1293)	Prec@1 28.125 (28.195)	Prec@5 57.422 (56.744)
Epoch: [45][6620/7045]	Time 0.102 (0.246)	Data 0.004 (0.185)	Loss 3.2793 (3.1292)	Prec@1 25.391 (28.197)	Prec@5 53.125 (56.747)
Epoch: [45][6630/7045]	Time 0.508 (0.246)	Data 0.457 (0.185)	Loss 3.1832 (3.1292)	Prec@1 28.516 (28.198)	Prec@5 55.078 (56.747)
Epoch: [45][6640/7045]	Time 0.139 (0.246)	Data 0.084 (0.185)	Loss 3.0529 (3.1292)	Prec@1 25.000 (28.197)	Prec@5 61.719 (56.746)
Epoch: [45][6650/7045]	Time 0.589 (0.246)	Data 0.539 (0.185)	Loss 3.0885 (3.1292)	Prec@1 28.125 (28.198)	Prec@5 60.938 (56.747)
Epoch: [45][6660/7045]	Time 0.101 (0.246)	Data 0.001 (0.185)	Loss 2.9731 (3.1291)	Prec@1 28.516 (28.198)	Prec@5 60.547 (56.748)
Epoch: [45][6670/7045]	Time 0.560 (0.246)	Data 0.507 (0.185)	Loss 3.1239 (3.1292)	Prec@1 24.609 (28.197)	Prec@5 52.734 (56.748)
Epoch: [45][6680/7045]	Time 0.101 (0.246)	Data 0.001 (0.185)	Loss 3.1306 (3.1292)	Prec@1 26.562 (28.196)	Prec@5 52.344 (56.748)
Epoch: [45][6690/7045]	Time 0.532 (0.246)	Data 0.482 (0.185)	Loss 2.9751 (3.1291)	Prec@1 32.031 (28.198)	Prec@5 61.328 (56.750)
Epoch: [45][6700/7045]	Time 0.101 (0.246)	Data 0.001 (0.185)	Loss 3.0546 (3.1292)	Prec@1 27.344 (28.197)	Prec@5 57.031 (56.749)
Epoch: [45][6710/7045]	Time 0.415 (0.246)	Data 0.363 (0.185)	Loss 2.9665 (3.1292)	Prec@1 34.375 (28.196)	Prec@5 59.766 (56.749)
Epoch: [45][6720/7045]	Time 0.216 (0.246)	Data 0.166 (0.185)	Loss 3.1599 (3.1292)	Prec@1 31.250 (28.198)	Prec@5 57.812 (56.748)
Epoch: [45][6730/7045]	Time 0.224 (0.246)	Data 0.174 (0.185)	Loss 3.0443 (3.1292)	Prec@1 29.688 (28.198)	Prec@5 60.156 (56.747)
Epoch: [45][6740/7045]	Time 0.441 (0.246)	Data 0.382 (0.185)	Loss 3.0618 (3.1291)	Prec@1 28.906 (28.198)	Prec@5 57.812 (56.750)
Epoch: [45][6750/7045]	Time 0.101 (0.246)	Data 0.006 (0.185)	Loss 3.3122 (3.1291)	Prec@1 23.828 (28.198)	Prec@5 51.953 (56.750)
Epoch: [45][6760/7045]	Time 0.606 (0.246)	Data 0.555 (0.185)	Loss 3.2620 (3.1293)	Prec@1 28.906 (28.197)	Prec@5 55.469 (56.748)
Epoch: [45][6770/7045]	Time 0.238 (0.246)	Data 0.187 (0.185)	Loss 3.0412 (3.1292)	Prec@1 26.953 (28.196)	Prec@5 60.938 (56.748)
Epoch: [45][6780/7045]	Time 0.507 (0.246)	Data 0.450 (0.185)	Loss 3.2475 (3.1294)	Prec@1 26.953 (28.195)	Prec@5 55.078 (56.746)
Epoch: [45][6790/7045]	Time 0.134 (0.246)	Data 0.083 (0.185)	Loss 3.3267 (3.1294)	Prec@1 24.609 (28.194)	Prec@5 53.906 (56.746)
Epoch: [45][6800/7045]	Time 0.223 (0.246)	Data 0.173 (0.185)	Loss 3.1836 (3.1295)	Prec@1 30.469 (28.191)	Prec@5 56.641 (56.743)
Epoch: [45][6810/7045]	Time 0.103 (0.246)	Data 0.005 (0.185)	Loss 3.2424 (3.1295)	Prec@1 27.344 (28.191)	Prec@5 53.906 (56.744)
Epoch: [45][6820/7045]	Time 0.102 (0.246)	Data 0.002 (0.185)	Loss 3.0788 (3.1295)	Prec@1 29.297 (28.194)	Prec@5 57.422 (56.745)
Epoch: [45][6830/7045]	Time 0.117 (0.246)	Data 0.064 (0.185)	Loss 3.0150 (3.1294)	Prec@1 29.688 (28.195)	Prec@5 58.984 (56.745)
Epoch: [45][6840/7045]	Time 0.148 (0.246)	Data 0.097 (0.185)	Loss 3.0725 (3.1294)	Prec@1 29.688 (28.196)	Prec@5 60.938 (56.746)
Epoch: [45][6850/7045]	Time 0.101 (0.246)	Data 0.046 (0.185)	Loss 3.1665 (3.1294)	Prec@1 25.391 (28.194)	Prec@5 55.469 (56.747)
Epoch: [45][6860/7045]	Time 0.109 (0.246)	Data 0.057 (0.185)	Loss 2.9887 (3.1294)	Prec@1 33.984 (28.197)	Prec@5 58.984 (56.747)
Epoch: [45][6870/7045]	Time 0.101 (0.246)	Data 0.046 (0.185)	Loss 3.1078 (3.1294)	Prec@1 29.688 (28.199)	Prec@5 52.734 (56.746)
Epoch: [45][6880/7045]	Time 0.340 (0.246)	Data 0.288 (0.185)	Loss 3.2916 (3.1294)	Prec@1 25.781 (28.199)	Prec@5 57.812 (56.747)
Epoch: [45][6890/7045]	Time 0.179 (0.246)	Data 0.129 (0.185)	Loss 2.9761 (3.1294)	Prec@1 28.516 (28.197)	Prec@5 61.719 (56.748)
Epoch: [45][6900/7045]	Time 0.317 (0.246)	Data 0.266 (0.185)	Loss 3.0764 (3.1293)	Prec@1 30.078 (28.198)	Prec@5 58.203 (56.749)
Epoch: [45][6910/7045]	Time 0.335 (0.246)	Data 0.282 (0.185)	Loss 3.2460 (3.1292)	Prec@1 30.078 (28.199)	Prec@5 55.859 (56.751)
Epoch: [45][6920/7045]	Time 0.293 (0.246)	Data 0.242 (0.185)	Loss 3.2503 (3.1292)	Prec@1 25.391 (28.199)	Prec@5 53.906 (56.750)
Epoch: [45][6930/7045]	Time 0.289 (0.246)	Data 0.236 (0.185)	Loss 3.0979 (3.1292)	Prec@1 28.516 (28.199)	Prec@5 54.297 (56.750)
Epoch: [45][6940/7045]	Time 0.097 (0.246)	Data 0.001 (0.185)	Loss 3.1851 (3.1292)	Prec@1 26.953 (28.198)	Prec@5 58.594 (56.751)
Epoch: [45][6950/7045]	Time 0.255 (0.246)	Data 0.204 (0.185)	Loss 3.0127 (3.1292)	Prec@1 30.859 (28.197)	Prec@5 59.375 (56.753)
Epoch: [45][6960/7045]	Time 0.108 (0.246)	Data 0.005 (0.185)	Loss 2.9921 (3.1293)	Prec@1 24.609 (28.196)	Prec@5 59.375 (56.753)
Epoch: [45][6970/7045]	Time 0.108 (0.246)	Data 0.056 (0.185)	Loss 3.3609 (3.1294)	Prec@1 24.219 (28.194)	Prec@5 51.953 (56.751)
Epoch: [45][6980/7045]	Time 0.132 (0.246)	Data 0.081 (0.185)	Loss 3.2066 (3.1294)	Prec@1 25.000 (28.193)	Prec@5 56.250 (56.750)
Epoch: [45][6990/7045]	Time 0.100 (0.246)	Data 0.005 (0.185)	Loss 3.2252 (3.1295)	Prec@1 31.250 (28.192)	Prec@5 55.078 (56.749)
Epoch: [45][7000/7045]	Time 0.153 (0.246)	Data 0.103 (0.185)	Loss 3.1390 (3.1295)	Prec@1 30.078 (28.192)	Prec@5 56.641 (56.749)
Epoch: [45][7010/7045]	Time 0.220 (0.246)	Data 0.170 (0.185)	Loss 3.3662 (3.1294)	Prec@1 25.781 (28.194)	Prec@5 53.125 (56.752)
Epoch: [45][7020/7045]	Time 0.104 (0.246)	Data 0.052 (0.185)	Loss 3.1887 (3.1295)	Prec@1 27.734 (28.194)	Prec@5 55.469 (56.751)
Epoch: [45][7030/7045]	Time 0.517 (0.246)	Data 0.467 (0.185)	Loss 3.0832 (3.1294)	Prec@1 30.469 (28.194)	Prec@5 57.812 (56.752)
Epoch: [45][7040/7045]	Time 0.202 (0.246)	Data 0.146 (0.185)	Loss 3.2635 (3.1295)	Prec@1 26.172 (28.193)	Prec@5 53.906 (56.751)
Test: [0/143]	Time 1.784 (1.784)	Loss 2.7972 (2.7972)	Prec@1 33.594 (33.594)	Prec@5 64.062 (64.062)
Test: [10/143]	Time 0.179 (0.322)	Loss 2.3439 (2.4812)	Prec@1 47.266 (41.690)	Prec@5 73.438 (71.449)
Test: [20/143]	Time 0.692 (0.273)	Loss 2.7713 (2.5089)	Prec@1 30.078 (38.765)	Prec@5 67.188 (70.722)
Test: [30/143]	Time 0.048 (0.240)	Loss 2.7001 (2.5351)	Prec@1 37.500 (38.470)	Prec@5 62.109 (69.997)
Test: [40/143]	Time 0.223 (0.226)	Loss 3.1800 (2.5792)	Prec@1 18.750 (37.233)	Prec@5 56.641 (68.864)
Test: [50/143]	Time 0.326 (0.222)	Loss 2.5238 (2.6298)	Prec@1 27.734 (35.769)	Prec@5 74.219 (67.854)
Test: [60/143]	Time 0.048 (0.215)	Loss 2.8155 (2.6191)	Prec@1 26.172 (36.130)	Prec@5 67.188 (68.193)
Test: [70/143]	Time 0.063 (0.211)	Loss 3.4514 (2.6075)	Prec@1 23.047 (36.625)	Prec@5 46.875 (68.293)
Test: [80/143]	Time 0.115 (0.210)	Loss 2.8458 (2.6056)	Prec@1 29.688 (36.738)	Prec@5 65.625 (68.273)
Test: [90/143]	Time 0.442 (0.209)	Loss 2.2787 (2.5942)	Prec@1 41.797 (36.848)	Prec@5 77.734 (68.587)
Test: [100/143]	Time 0.254 (0.207)	Loss 2.4069 (2.5938)	Prec@1 44.141 (36.897)	Prec@5 73.828 (68.615)
Test: [110/143]	Time 0.048 (0.205)	Loss 2.3471 (2.5869)	Prec@1 42.578 (37.306)	Prec@5 70.312 (68.690)
Test: [120/143]	Time 0.048 (0.203)	Loss 2.1718 (2.5753)	Prec@1 50.781 (37.655)	Prec@5 77.344 (68.940)
Test: [130/143]	Time 0.217 (0.203)	Loss 2.1218 (2.5839)	Prec@1 54.297 (37.500)	Prec@5 71.484 (68.544)
Test: [140/143]	Time 0.172 (0.202)	Loss 3.6992 (2.6071)	Prec@1 15.625 (37.035)	Prec@5 43.359 (67.966)
 * Prec@1 37.047 Prec@5 67.997
Epoch: [46][0/7045]	Time 2.460 (2.460)	Data 2.404 (2.404)	Loss 3.2523 (3.2523)	Prec@1 25.000 (25.000)	Prec@5 55.469 (55.469)
Epoch: [46][10/7045]	Time 0.103 (0.413)	Data 0.051 (0.333)	Loss 3.0829 (3.1467)	Prec@1 28.516 (27.521)	Prec@5 57.031 (56.214)
Epoch: [46][20/7045]	Time 0.659 (0.346)	Data 0.608 (0.263)	Loss 3.1687 (3.1538)	Prec@1 23.047 (27.697)	Prec@5 53.125 (56.120)
Epoch: [46][30/7045]	Time 0.109 (0.303)	Data 0.001 (0.221)	Loss 3.0668 (3.1384)	Prec@1 28.125 (28.012)	Prec@5 56.641 (56.099)
Epoch: [46][40/7045]	Time 0.620 (0.295)	Data 0.569 (0.217)	Loss 3.0705 (3.1296)	Prec@1 24.609 (28.154)	Prec@5 59.375 (56.250)
Epoch: [46][50/7045]	Time 0.105 (0.279)	Data 0.054 (0.203)	Loss 3.0023 (3.1128)	Prec@1 28.906 (28.653)	Prec@5 57.812 (56.648)
Epoch: [46][60/7045]	Time 0.409 (0.277)	Data 0.357 (0.203)	Loss 3.1264 (3.0959)	Prec@1 26.953 (28.938)	Prec@5 55.469 (57.082)
Epoch: [46][70/7045]	Time 0.103 (0.268)	Data 0.052 (0.195)	Loss 3.0557 (3.0960)	Prec@1 32.031 (29.038)	Prec@5 53.906 (57.174)
Epoch: [46][80/7045]	Time 0.173 (0.267)	Data 0.122 (0.196)	Loss 3.2180 (3.0961)	Prec@1 30.469 (29.075)	Prec@5 57.031 (57.301)
Epoch: [46][90/7045]	Time 0.101 (0.262)	Data 0.050 (0.191)	Loss 2.9270 (3.0872)	Prec@1 32.422 (29.138)	Prec@5 62.891 (57.546)
Epoch: [46][100/7045]	Time 0.100 (0.264)	Data 0.002 (0.192)	Loss 2.9503 (3.0874)	Prec@1 32.031 (29.165)	Prec@5 60.938 (57.623)
Epoch: [46][110/7045]	Time 0.101 (0.258)	Data 0.046 (0.185)	Loss 3.0366 (3.0917)	Prec@1 27.344 (29.149)	Prec@5 58.203 (57.549)
Epoch: [46][120/7045]	Time 0.101 (0.259)	Data 0.001 (0.185)	Loss 3.0419 (3.0889)	Prec@1 30.859 (29.239)	Prec@5 58.594 (57.622)
Epoch: [46][130/7045]	Time 0.106 (0.256)	Data 0.053 (0.182)	Loss 3.0685 (3.0907)	Prec@1 29.688 (29.187)	Prec@5 60.156 (57.568)
Epoch: [46][140/7045]	Time 0.100 (0.256)	Data 0.002 (0.183)	Loss 3.3472 (3.0912)	Prec@1 25.000 (29.097)	Prec@5 52.734 (57.591)
Epoch: [46][150/7045]	Time 0.292 (0.255)	Data 0.241 (0.183)	Loss 3.2028 (3.0955)	Prec@1 26.172 (29.061)	Prec@5 55.078 (57.587)
Epoch: [46][160/7045]	Time 0.101 (0.254)	Data 0.004 (0.182)	Loss 2.9165 (3.0959)	Prec@1 28.125 (29.030)	Prec@5 59.766 (57.570)
Epoch: [46][170/7045]	Time 0.485 (0.254)	Data 0.434 (0.183)	Loss 3.0443 (3.0961)	Prec@1 26.172 (28.925)	Prec@5 57.812 (57.516)
Epoch: [46][180/7045]	Time 0.102 (0.252)	Data 0.003 (0.182)	Loss 2.9235 (3.0949)	Prec@1 30.859 (28.885)	Prec@5 62.500 (57.536)
Epoch: [46][190/7045]	Time 0.723 (0.254)	Data 0.673 (0.183)	Loss 3.1347 (3.0976)	Prec@1 29.688 (28.831)	Prec@5 58.203 (57.438)
Epoch: [46][200/7045]	Time 0.111 (0.251)	Data 0.051 (0.180)	Loss 3.1518 (3.0951)	Prec@1 26.172 (28.840)	Prec@5 57.031 (57.465)
Epoch: [46][210/7045]	Time 0.595 (0.252)	Data 0.544 (0.181)	Loss 2.9225 (3.0910)	Prec@1 30.078 (28.927)	Prec@5 60.156 (57.518)
Epoch: [46][220/7045]	Time 0.186 (0.251)	Data 0.134 (0.180)	Loss 3.1484 (3.0912)	Prec@1 25.781 (28.889)	Prec@5 56.250 (57.493)
Epoch: [46][230/7045]	Time 0.545 (0.251)	Data 0.494 (0.180)	Loss 3.2389 (3.0902)	Prec@1 27.344 (28.937)	Prec@5 53.906 (57.506)
Epoch: [46][240/7045]	Time 0.185 (0.250)	Data 0.134 (0.179)	Loss 3.0354 (3.0911)	Prec@1 32.422 (28.926)	Prec@5 60.156 (57.508)
Epoch: [46][250/7045]	Time 0.352 (0.250)	Data 0.302 (0.180)	Loss 3.0947 (3.0889)	Prec@1 27.344 (28.939)	Prec@5 57.422 (57.542)
Epoch: [46][260/7045]	Time 0.169 (0.249)	Data 0.117 (0.179)	Loss 3.1403 (3.0891)	Prec@1 28.906 (28.921)	Prec@5 53.906 (57.554)
Epoch: [46][270/7045]	Time 0.141 (0.249)	Data 0.091 (0.180)	Loss 2.8484 (3.0898)	Prec@1 33.984 (28.898)	Prec@5 61.719 (57.516)
Epoch: [46][280/7045]	Time 0.101 (0.248)	Data 0.001 (0.179)	Loss 3.1597 (3.0896)	Prec@1 26.172 (28.899)	Prec@5 56.250 (57.534)
Epoch: [46][290/7045]	Time 0.110 (0.249)	Data 0.059 (0.180)	Loss 3.0742 (3.0907)	Prec@1 28.125 (28.842)	Prec@5 53.906 (57.521)
Epoch: [46][300/7045]	Time 0.103 (0.248)	Data 0.051 (0.179)	Loss 3.1548 (3.0908)	Prec@1 26.953 (28.840)	Prec@5 54.297 (57.488)
Epoch: [46][310/7045]	Time 0.106 (0.248)	Data 0.052 (0.179)	Loss 3.0872 (3.0920)	Prec@1 26.562 (28.820)	Prec@5 60.547 (57.483)
Epoch: [46][320/7045]	Time 0.109 (0.247)	Data 0.058 (0.178)	Loss 3.2709 (3.0907)	Prec@1 28.516 (28.833)	Prec@5 53.125 (57.502)
Epoch: [46][330/7045]	Time 0.102 (0.248)	Data 0.046 (0.179)	Loss 3.0520 (3.0919)	Prec@1 32.812 (28.845)	Prec@5 59.766 (57.497)
Epoch: [46][340/7045]	Time 0.122 (0.247)	Data 0.071 (0.178)	Loss 3.0928 (3.0911)	Prec@1 25.000 (28.836)	Prec@5 56.250 (57.492)
Epoch: [46][350/7045]	Time 0.102 (0.247)	Data 0.005 (0.178)	Loss 3.2298 (3.0894)	Prec@1 22.656 (28.822)	Prec@5 53.516 (57.533)
Epoch: [46][360/7045]	Time 0.104 (0.246)	Data 0.051 (0.177)	Loss 3.1796 (3.0882)	Prec@1 27.344 (28.852)	Prec@5 55.469 (57.566)
Epoch: [46][370/7045]	Time 0.102 (0.247)	Data 0.002 (0.177)	Loss 2.9649 (3.0889)	Prec@1 30.859 (28.842)	Prec@5 60.938 (57.563)
Epoch: [46][380/7045]	Time 0.104 (0.246)	Data 0.046 (0.176)	Loss 3.1819 (3.0906)	Prec@1 28.906 (28.833)	Prec@5 55.859 (57.514)
Epoch: [46][390/7045]	Time 0.102 (0.246)	Data 0.009 (0.176)	Loss 3.1654 (3.0914)	Prec@1 26.953 (28.798)	Prec@5 58.984 (57.504)
Epoch: [46][400/7045]	Time 0.101 (0.245)	Data 0.001 (0.175)	Loss 2.9993 (3.0900)	Prec@1 30.469 (28.822)	Prec@5 58.984 (57.518)
Epoch: [46][410/7045]	Time 0.110 (0.246)	Data 0.001 (0.176)	Loss 2.8821 (3.0889)	Prec@1 32.422 (28.853)	Prec@5 62.500 (57.552)
Epoch: [46][420/7045]	Time 0.102 (0.245)	Data 0.051 (0.175)	Loss 3.2028 (3.0900)	Prec@1 25.781 (28.853)	Prec@5 54.297 (57.532)
Epoch: [46][430/7045]	Time 0.102 (0.246)	Data 0.002 (0.175)	Loss 3.2515 (3.0911)	Prec@1 23.047 (28.848)	Prec@5 56.250 (57.517)
Epoch: [46][440/7045]	Time 0.100 (0.245)	Data 0.045 (0.174)	Loss 2.9605 (3.0916)	Prec@1 26.172 (28.843)	Prec@5 61.328 (57.503)
Epoch: [46][450/7045]	Time 0.102 (0.245)	Data 0.006 (0.174)	Loss 2.9206 (3.0921)	Prec@1 33.203 (28.846)	Prec@5 60.547 (57.495)
Epoch: [46][460/7045]	Time 0.102 (0.245)	Data 0.044 (0.173)	Loss 3.0690 (3.0928)	Prec@1 32.031 (28.843)	Prec@5 60.938 (57.491)
Epoch: [46][470/7045]	Time 0.102 (0.245)	Data 0.008 (0.174)	Loss 3.0060 (3.0928)	Prec@1 30.469 (28.843)	Prec@5 54.688 (57.491)
Epoch: [46][480/7045]	Time 0.101 (0.244)	Data 0.001 (0.173)	Loss 3.2693 (3.0932)	Prec@1 29.688 (28.840)	Prec@5 53.906 (57.485)
Epoch: [46][490/7045]	Time 0.108 (0.245)	Data 0.007 (0.173)	Loss 3.3692 (3.0939)	Prec@1 21.875 (28.816)	Prec@5 51.953 (57.467)
Epoch: [46][500/7045]	Time 0.103 (0.244)	Data 0.001 (0.172)	Loss 3.1050 (3.0944)	Prec@1 28.125 (28.799)	Prec@5 55.078 (57.439)
Epoch: [46][510/7045]	Time 0.108 (0.245)	Data 0.006 (0.172)	Loss 3.2024 (3.0956)	Prec@1 25.000 (28.764)	Prec@5 56.641 (57.420)
Epoch: [46][520/7045]	Time 0.102 (0.244)	Data 0.001 (0.172)	Loss 3.2357 (3.0966)	Prec@1 27.344 (28.741)	Prec@5 53.125 (57.409)
Epoch: [46][530/7045]	Time 0.107 (0.244)	Data 0.006 (0.172)	Loss 2.9313 (3.0953)	Prec@1 32.812 (28.775)	Prec@5 60.547 (57.437)
Epoch: [46][540/7045]	Time 0.101 (0.244)	Data 0.001 (0.171)	Loss 3.0298 (3.0968)	Prec@1 28.125 (28.761)	Prec@5 56.250 (57.410)
Epoch: [46][550/7045]	Time 0.107 (0.244)	Data 0.008 (0.171)	Loss 3.2118 (3.0974)	Prec@1 28.906 (28.747)	Prec@5 53.516 (57.385)
Epoch: [46][560/7045]	Time 0.102 (0.244)	Data 0.001 (0.170)	Loss 3.1274 (3.0976)	Prec@1 26.953 (28.757)	Prec@5 58.984 (57.375)
Epoch: [46][570/7045]	Time 0.103 (0.244)	Data 0.004 (0.170)	Loss 3.0222 (3.0964)	Prec@1 32.031 (28.771)	Prec@5 60.156 (57.375)
Epoch: [46][580/7045]	Time 0.154 (0.243)	Data 0.103 (0.170)	Loss 3.1885 (3.0968)	Prec@1 25.391 (28.768)	Prec@5 56.250 (57.399)
Epoch: [46][590/7045]	Time 0.103 (0.244)	Data 0.007 (0.170)	Loss 3.1984 (3.0966)	Prec@1 25.391 (28.758)	Prec@5 53.125 (57.388)
Epoch: [46][600/7045]	Time 0.370 (0.244)	Data 0.320 (0.170)	Loss 3.3311 (3.0972)	Prec@1 28.906 (28.748)	Prec@5 53.125 (57.365)
Epoch: [46][610/7045]	Time 0.102 (0.244)	Data 0.005 (0.170)	Loss 3.3431 (3.0973)	Prec@1 21.094 (28.741)	Prec@5 53.906 (57.368)
Epoch: [46][620/7045]	Time 0.608 (0.244)	Data 0.556 (0.170)	Loss 3.2286 (3.0976)	Prec@1 26.172 (28.740)	Prec@5 57.422 (57.368)
Epoch: [46][630/7045]	Time 0.101 (0.243)	Data 0.001 (0.170)	Loss 3.1293 (3.0978)	Prec@1 28.906 (28.746)	Prec@5 57.031 (57.370)
Epoch: [46][640/7045]	Time 0.632 (0.244)	Data 0.581 (0.170)	Loss 2.8639 (3.0971)	Prec@1 32.031 (28.741)	Prec@5 62.109 (57.379)
Epoch: [46][650/7045]	Time 0.102 (0.243)	Data 0.001 (0.169)	Loss 3.0776 (3.0973)	Prec@1 28.516 (28.759)	Prec@5 58.203 (57.377)
Epoch: [46][660/7045]	Time 0.643 (0.244)	Data 0.592 (0.170)	Loss 3.0371 (3.0970)	Prec@1 27.734 (28.763)	Prec@5 54.297 (57.391)
Epoch: [46][670/7045]	Time 0.103 (0.243)	Data 0.001 (0.169)	Loss 2.9778 (3.0972)	Prec@1 31.250 (28.757)	Prec@5 62.500 (57.392)
Epoch: [46][680/7045]	Time 0.417 (0.244)	Data 0.365 (0.169)	Loss 3.2655 (3.0967)	Prec@1 25.781 (28.754)	Prec@5 53.516 (57.397)
Epoch: [46][690/7045]	Time 0.102 (0.243)	Data 0.001 (0.169)	Loss 2.9369 (3.0967)	Prec@1 31.641 (28.755)	Prec@5 61.719 (57.402)
Epoch: [46][700/7045]	Time 0.201 (0.243)	Data 0.150 (0.169)	Loss 2.9649 (3.0963)	Prec@1 26.953 (28.752)	Prec@5 62.891 (57.410)
Epoch: [46][710/7045]	Time 0.101 (0.243)	Data 0.001 (0.169)	Loss 2.8987 (3.0956)	Prec@1 30.078 (28.741)	Prec@5 57.812 (57.417)
Epoch: [46][720/7045]	Time 0.108 (0.243)	Data 0.006 (0.169)	Loss 3.0712 (3.0950)	Prec@1 26.562 (28.744)	Prec@5 56.250 (57.415)
Epoch: [46][730/7045]	Time 0.102 (0.243)	Data 0.001 (0.168)	Loss 3.0519 (3.0948)	Prec@1 28.516 (28.756)	Prec@5 58.984 (57.425)
Epoch: [46][740/7045]	Time 0.102 (0.243)	Data 0.005 (0.169)	Loss 2.9730 (3.0948)	Prec@1 28.906 (28.762)	Prec@5 60.938 (57.432)
Epoch: [46][750/7045]	Time 0.307 (0.243)	Data 0.256 (0.169)	Loss 3.2657 (3.0946)	Prec@1 29.688 (28.764)	Prec@5 52.734 (57.437)
Epoch: [46][760/7045]	Time 0.110 (0.243)	Data 0.007 (0.169)	Loss 3.1573 (3.0943)	Prec@1 28.516 (28.770)	Prec@5 58.594 (57.458)
Epoch: [46][770/7045]	Time 0.616 (0.243)	Data 0.564 (0.169)	Loss 3.1639 (3.0953)	Prec@1 28.906 (28.748)	Prec@5 54.688 (57.437)
Epoch: [46][780/7045]	Time 0.099 (0.243)	Data 0.001 (0.169)	Loss 3.1033 (3.0964)	Prec@1 29.688 (28.745)	Prec@5 56.641 (57.418)
Epoch: [46][790/7045]	Time 0.741 (0.243)	Data 0.689 (0.169)	Loss 3.0176 (3.0969)	Prec@1 33.594 (28.746)	Prec@5 57.422 (57.398)
Epoch: [46][800/7045]	Time 0.114 (0.243)	Data 0.064 (0.169)	Loss 3.4041 (3.0978)	Prec@1 22.266 (28.720)	Prec@5 50.391 (57.382)
Epoch: [46][810/7045]	Time 0.597 (0.243)	Data 0.546 (0.169)	Loss 3.1569 (3.0972)	Prec@1 26.953 (28.724)	Prec@5 56.641 (57.411)
Epoch: [46][820/7045]	Time 0.123 (0.243)	Data 0.072 (0.169)	Loss 3.3045 (3.0978)	Prec@1 28.125 (28.722)	Prec@5 53.125 (57.412)
Epoch: [46][830/7045]	Time 0.410 (0.243)	Data 0.359 (0.169)	Loss 3.1382 (3.0977)	Prec@1 28.125 (28.718)	Prec@5 58.594 (57.421)
Epoch: [46][840/7045]	Time 0.106 (0.243)	Data 0.054 (0.169)	Loss 2.8698 (3.0972)	Prec@1 30.078 (28.726)	Prec@5 63.281 (57.428)
Epoch: [46][850/7045]	Time 0.146 (0.243)	Data 0.093 (0.170)	Loss 3.0892 (3.0970)	Prec@1 26.172 (28.724)	Prec@5 58.203 (57.428)
Epoch: [46][860/7045]	Time 0.102 (0.243)	Data 0.001 (0.170)	Loss 3.0070 (3.0967)	Prec@1 32.812 (28.743)	Prec@5 58.203 (57.436)
Epoch: [46][870/7045]	Time 0.200 (0.243)	Data 0.148 (0.170)	Loss 3.0077 (3.0975)	Prec@1 31.641 (28.735)	Prec@5 60.547 (57.427)
Epoch: [46][880/7045]	Time 0.112 (0.243)	Data 0.058 (0.169)	Loss 3.3444 (3.0971)	Prec@1 25.781 (28.748)	Prec@5 50.781 (57.436)
Epoch: [46][890/7045]	Time 0.163 (0.243)	Data 0.113 (0.170)	Loss 3.2599 (3.0965)	Prec@1 25.391 (28.765)	Prec@5 53.906 (57.437)
Epoch: [46][900/7045]	Time 0.213 (0.243)	Data 0.162 (0.170)	Loss 3.0177 (3.0969)	Prec@1 30.078 (28.774)	Prec@5 62.109 (57.432)
Epoch: [46][910/7045]	Time 0.180 (0.243)	Data 0.129 (0.170)	Loss 3.0286 (3.0967)	Prec@1 33.594 (28.786)	Prec@5 60.938 (57.438)
Epoch: [46][920/7045]	Time 0.458 (0.243)	Data 0.407 (0.170)	Loss 2.8105 (3.0964)	Prec@1 32.422 (28.782)	Prec@5 63.281 (57.443)
Epoch: [46][930/7045]	Time 0.178 (0.243)	Data 0.127 (0.170)	Loss 2.9942 (3.0966)	Prec@1 28.906 (28.782)	Prec@5 57.812 (57.426)
Epoch: [46][940/7045]	Time 0.735 (0.243)	Data 0.684 (0.170)	Loss 2.9156 (3.0964)	Prec@1 33.203 (28.780)	Prec@5 60.938 (57.422)
Epoch: [46][950/7045]	Time 0.110 (0.243)	Data 0.058 (0.170)	Loss 3.0744 (3.0969)	Prec@1 30.469 (28.770)	Prec@5 59.375 (57.412)
Epoch: [46][960/7045]	Time 0.645 (0.243)	Data 0.588 (0.170)	Loss 3.0564 (3.0967)	Prec@1 29.297 (28.781)	Prec@5 55.469 (57.411)
Epoch: [46][970/7045]	Time 0.100 (0.243)	Data 0.001 (0.170)	Loss 3.0546 (3.0969)	Prec@1 31.641 (28.784)	Prec@5 60.547 (57.403)
Epoch: [46][980/7045]	Time 0.632 (0.243)	Data 0.581 (0.170)	Loss 3.2041 (3.0968)	Prec@1 26.562 (28.794)	Prec@5 54.297 (57.399)
Epoch: [46][990/7045]	Time 0.100 (0.243)	Data 0.001 (0.170)	Loss 3.3278 (3.0974)	Prec@1 25.391 (28.784)	Prec@5 51.172 (57.399)
Epoch: [46][1000/7045]	Time 0.648 (0.243)	Data 0.597 (0.170)	Loss 3.2209 (3.0971)	Prec@1 28.516 (28.799)	Prec@5 57.031 (57.412)
Epoch: [46][1010/7045]	Time 0.102 (0.243)	Data 0.001 (0.169)	Loss 3.0528 (3.0976)	Prec@1 30.078 (28.790)	Prec@5 58.203 (57.404)
Epoch: [46][1020/7045]	Time 0.645 (0.243)	Data 0.594 (0.170)	Loss 3.2443 (3.0983)	Prec@1 22.266 (28.764)	Prec@5 50.781 (57.384)
Epoch: [46][1030/7045]	Time 0.099 (0.243)	Data 0.001 (0.169)	Loss 3.2009 (3.0983)	Prec@1 26.172 (28.765)	Prec@5 58.203 (57.389)
Epoch: [46][1040/7045]	Time 0.654 (0.243)	Data 0.603 (0.169)	Loss 3.2275 (3.0991)	Prec@1 29.297 (28.770)	Prec@5 55.859 (57.371)
Epoch: [46][1050/7045]	Time 0.102 (0.243)	Data 0.002 (0.169)	Loss 3.2388 (3.0990)	Prec@1 25.000 (28.777)	Prec@5 55.078 (57.365)
Epoch: [46][1060/7045]	Time 0.700 (0.243)	Data 0.649 (0.169)	Loss 2.9940 (3.0998)	Prec@1 32.422 (28.762)	Prec@5 58.594 (57.349)
Epoch: [46][1070/7045]	Time 0.100 (0.242)	Data 0.001 (0.168)	Loss 2.8406 (3.0998)	Prec@1 35.547 (28.763)	Prec@5 60.938 (57.351)
Epoch: [46][1080/7045]	Time 0.699 (0.243)	Data 0.648 (0.169)	Loss 3.1065 (3.0998)	Prec@1 29.688 (28.769)	Prec@5 58.984 (57.347)
Epoch: [46][1090/7045]	Time 0.103 (0.242)	Data 0.001 (0.168)	Loss 3.1878 (3.1003)	Prec@1 25.000 (28.753)	Prec@5 54.297 (57.327)
Epoch: [46][1100/7045]	Time 0.640 (0.243)	Data 0.589 (0.168)	Loss 3.1714 (3.1003)	Prec@1 27.344 (28.750)	Prec@5 56.250 (57.335)
Epoch: [46][1110/7045]	Time 0.111 (0.242)	Data 0.059 (0.168)	Loss 3.1012 (3.1012)	Prec@1 28.516 (28.733)	Prec@5 55.859 (57.307)
Epoch: [46][1120/7045]	Time 0.648 (0.242)	Data 0.596 (0.168)	Loss 3.0547 (3.1011)	Prec@1 24.609 (28.724)	Prec@5 59.766 (57.313)
Epoch: [46][1130/7045]	Time 0.102 (0.242)	Data 0.001 (0.168)	Loss 2.8995 (3.1009)	Prec@1 33.984 (28.732)	Prec@5 60.938 (57.313)
Epoch: [46][1140/7045]	Time 0.636 (0.242)	Data 0.585 (0.168)	Loss 3.0993 (3.1010)	Prec@1 28.125 (28.725)	Prec@5 55.469 (57.304)
Epoch: [46][1150/7045]	Time 0.103 (0.242)	Data 0.051 (0.167)	Loss 3.0641 (3.1016)	Prec@1 29.297 (28.717)	Prec@5 58.203 (57.294)
Epoch: [46][1160/7045]	Time 0.671 (0.242)	Data 0.619 (0.168)	Loss 2.9597 (3.1010)	Prec@1 35.938 (28.729)	Prec@5 58.984 (57.304)
Epoch: [46][1170/7045]	Time 0.102 (0.242)	Data 0.001 (0.167)	Loss 3.0271 (3.1011)	Prec@1 28.516 (28.732)	Prec@5 58.594 (57.303)
Epoch: [46][1180/7045]	Time 0.633 (0.242)	Data 0.582 (0.167)	Loss 3.0955 (3.1014)	Prec@1 30.859 (28.738)	Prec@5 57.031 (57.296)
Epoch: [46][1190/7045]	Time 0.101 (0.242)	Data 0.002 (0.167)	Loss 3.2016 (3.1008)	Prec@1 27.734 (28.751)	Prec@5 53.906 (57.309)
Epoch: [46][1200/7045]	Time 0.639 (0.242)	Data 0.588 (0.167)	Loss 3.0979 (3.1005)	Prec@1 29.297 (28.751)	Prec@5 56.641 (57.310)
Epoch: [46][1210/7045]	Time 0.102 (0.242)	Data 0.005 (0.167)	Loss 2.9527 (3.1006)	Prec@1 32.422 (28.749)	Prec@5 58.984 (57.308)
Epoch: [46][1220/7045]	Time 0.641 (0.242)	Data 0.584 (0.167)	Loss 3.2070 (3.1002)	Prec@1 27.344 (28.759)	Prec@5 53.125 (57.318)
Epoch: [46][1230/7045]	Time 0.102 (0.242)	Data 0.049 (0.167)	Loss 3.0193 (3.1003)	Prec@1 29.297 (28.750)	Prec@5 60.547 (57.316)
Epoch: [46][1240/7045]	Time 0.539 (0.242)	Data 0.488 (0.167)	Loss 3.3436 (3.1005)	Prec@1 23.438 (28.747)	Prec@5 53.125 (57.308)
Epoch: [46][1250/7045]	Time 0.265 (0.242)	Data 0.208 (0.167)	Loss 3.0847 (3.1009)	Prec@1 26.953 (28.738)	Prec@5 58.594 (57.306)
Epoch: [46][1260/7045]	Time 0.397 (0.242)	Data 0.346 (0.167)	Loss 3.0886 (3.1009)	Prec@1 29.688 (28.736)	Prec@5 56.641 (57.308)
Epoch: [46][1270/7045]	Time 0.250 (0.242)	Data 0.199 (0.167)	Loss 3.0580 (3.1009)	Prec@1 26.953 (28.736)	Prec@5 59.766 (57.306)
Epoch: [46][1280/7045]	Time 0.124 (0.242)	Data 0.071 (0.167)	Loss 3.0813 (3.1012)	Prec@1 32.031 (28.738)	Prec@5 56.641 (57.299)
Epoch: [46][1290/7045]	Time 0.116 (0.242)	Data 0.065 (0.167)	Loss 3.0932 (3.1014)	Prec@1 23.828 (28.731)	Prec@5 59.766 (57.297)
Epoch: [46][1300/7045]	Time 0.111 (0.242)	Data 0.003 (0.167)	Loss 3.1934 (3.1019)	Prec@1 28.125 (28.726)	Prec@5 54.688 (57.297)
Epoch: [46][1310/7045]	Time 0.199 (0.242)	Data 0.147 (0.167)	Loss 3.2223 (3.1018)	Prec@1 25.000 (28.723)	Prec@5 51.953 (57.298)
Epoch: [46][1320/7045]	Time 0.101 (0.242)	Data 0.008 (0.167)	Loss 3.0385 (3.1018)	Prec@1 28.125 (28.716)	Prec@5 60.156 (57.301)
Epoch: [46][1330/7045]	Time 0.102 (0.242)	Data 0.004 (0.167)	Loss 2.8810 (3.1019)	Prec@1 33.984 (28.712)	Prec@5 62.891 (57.302)
Epoch: [46][1340/7045]	Time 0.101 (0.242)	Data 0.004 (0.167)	Loss 2.9718 (3.1021)	Prec@1 32.422 (28.707)	Prec@5 60.938 (57.307)
Epoch: [46][1350/7045]	Time 0.102 (0.242)	Data 0.007 (0.167)	Loss 3.0371 (3.1023)	Prec@1 28.516 (28.694)	Prec@5 58.984 (57.302)
Epoch: [46][1360/7045]	Time 0.100 (0.242)	Data 0.008 (0.167)	Loss 3.2129 (3.1024)	Prec@1 26.953 (28.696)	Prec@5 57.422 (57.301)
Epoch: [46][1370/7045]	Time 0.101 (0.242)	Data 0.005 (0.167)	Loss 2.9957 (3.1024)	Prec@1 30.859 (28.701)	Prec@5 60.938 (57.305)
Epoch: [46][1380/7045]	Time 0.100 (0.242)	Data 0.001 (0.167)	Loss 3.2282 (3.1028)	Prec@1 26.562 (28.688)	Prec@5 53.516 (57.292)
Epoch: [46][1390/7045]	Time 0.100 (0.242)	Data 0.003 (0.167)	Loss 3.0235 (3.1027)	Prec@1 28.516 (28.688)	Prec@5 62.109 (57.280)
Epoch: [46][1400/7045]	Time 0.100 (0.242)	Data 0.004 (0.167)	Loss 3.1719 (3.1030)	Prec@1 27.734 (28.682)	Prec@5 56.641 (57.273)
Epoch: [46][1410/7045]	Time 0.100 (0.242)	Data 0.043 (0.167)	Loss 3.0406 (3.1030)	Prec@1 32.031 (28.686)	Prec@5 63.672 (57.272)
Epoch: [46][1420/7045]	Time 0.101 (0.242)	Data 0.004 (0.167)	Loss 3.1531 (3.1034)	Prec@1 29.297 (28.682)	Prec@5 57.031 (57.265)
Epoch: [46][1430/7045]	Time 0.113 (0.242)	Data 0.061 (0.167)	Loss 3.1903 (3.1034)	Prec@1 28.125 (28.684)	Prec@5 54.688 (57.259)
Epoch: [46][1440/7045]	Time 0.102 (0.242)	Data 0.002 (0.167)	Loss 2.9869 (3.1028)	Prec@1 29.688 (28.693)	Prec@5 57.812 (57.272)
Epoch: [46][1450/7045]	Time 0.103 (0.242)	Data 0.001 (0.167)	Loss 2.9056 (3.1026)	Prec@1 29.297 (28.697)	Prec@5 64.453 (57.272)
Epoch: [46][1460/7045]	Time 0.102 (0.242)	Data 0.003 (0.167)	Loss 3.1147 (3.1026)	Prec@1 28.516 (28.699)	Prec@5 61.328 (57.282)
Epoch: [46][1470/7045]	Time 0.102 (0.242)	Data 0.001 (0.167)	Loss 3.1006 (3.1022)	Prec@1 30.469 (28.708)	Prec@5 59.766 (57.293)
Epoch: [46][1480/7045]	Time 0.102 (0.241)	Data 0.051 (0.168)	Loss 3.0704 (3.1024)	Prec@1 30.859 (28.705)	Prec@5 59.375 (57.286)
Epoch: [46][1490/7045]	Time 0.111 (0.241)	Data 0.059 (0.168)	Loss 3.2754 (3.1022)	Prec@1 24.219 (28.702)	Prec@5 51.172 (57.285)
Epoch: [46][1500/7045]	Time 0.102 (0.241)	Data 0.006 (0.168)	Loss 3.0305 (3.1021)	Prec@1 29.297 (28.706)	Prec@5 58.594 (57.285)
Epoch: [46][1510/7045]	Time 0.294 (0.242)	Data 0.243 (0.168)	Loss 3.1229 (3.1019)	Prec@1 29.297 (28.706)	Prec@5 57.422 (57.294)
Epoch: [46][1520/7045]	Time 0.102 (0.242)	Data 0.001 (0.168)	Loss 3.0783 (3.1021)	Prec@1 32.031 (28.709)	Prec@5 60.156 (57.292)
Epoch: [46][1530/7045]	Time 0.407 (0.242)	Data 0.350 (0.168)	Loss 2.8862 (3.1016)	Prec@1 33.203 (28.714)	Prec@5 60.547 (57.303)
Epoch: [46][1540/7045]	Time 0.203 (0.241)	Data 0.152 (0.168)	Loss 2.9089 (3.1016)	Prec@1 32.031 (28.706)	Prec@5 60.547 (57.305)
Epoch: [46][1550/7045]	Time 0.369 (0.242)	Data 0.313 (0.168)	Loss 3.2863 (3.1019)	Prec@1 22.656 (28.700)	Prec@5 53.516 (57.297)
Epoch: [46][1560/7045]	Time 0.520 (0.242)	Data 0.469 (0.168)	Loss 3.1631 (3.1023)	Prec@1 25.781 (28.693)	Prec@5 55.469 (57.288)
Epoch: [46][1570/7045]	Time 0.250 (0.242)	Data 0.199 (0.168)	Loss 3.0035 (3.1022)	Prec@1 28.125 (28.693)	Prec@5 54.297 (57.284)
Epoch: [46][1580/7045]	Time 0.465 (0.242)	Data 0.414 (0.169)	Loss 3.1144 (3.1024)	Prec@1 26.562 (28.689)	Prec@5 60.547 (57.284)
Epoch: [46][1590/7045]	Time 0.112 (0.241)	Data 0.054 (0.169)	Loss 3.0807 (3.1026)	Prec@1 28.516 (28.681)	Prec@5 56.641 (57.281)
Epoch: [46][1600/7045]	Time 0.468 (0.242)	Data 0.417 (0.169)	Loss 3.0684 (3.1031)	Prec@1 25.781 (28.670)	Prec@5 57.031 (57.272)
Epoch: [46][1610/7045]	Time 0.129 (0.241)	Data 0.077 (0.169)	Loss 3.0969 (3.1032)	Prec@1 30.078 (28.676)	Prec@5 60.938 (57.274)
Epoch: [46][1620/7045]	Time 0.475 (0.241)	Data 0.423 (0.169)	Loss 3.2353 (3.1030)	Prec@1 28.906 (28.682)	Prec@5 54.688 (57.274)
Epoch: [46][1630/7045]	Time 0.168 (0.241)	Data 0.111 (0.169)	Loss 2.7938 (3.1023)	Prec@1 33.594 (28.693)	Prec@5 63.672 (57.290)
Epoch: [46][1640/7045]	Time 0.464 (0.241)	Data 0.413 (0.169)	Loss 3.2352 (3.1022)	Prec@1 24.609 (28.691)	Prec@5 53.906 (57.289)
Epoch: [46][1650/7045]	Time 0.190 (0.241)	Data 0.131 (0.169)	Loss 3.3857 (3.1026)	Prec@1 26.172 (28.684)	Prec@5 52.344 (57.280)
Epoch: [46][1660/7045]	Time 0.499 (0.241)	Data 0.448 (0.169)	Loss 2.9853 (3.1021)	Prec@1 34.766 (28.685)	Prec@5 57.422 (57.285)
Epoch: [46][1670/7045]	Time 0.195 (0.241)	Data 0.138 (0.169)	Loss 3.0863 (3.1020)	Prec@1 32.422 (28.691)	Prec@5 57.812 (57.285)
Epoch: [46][1680/7045]	Time 0.484 (0.241)	Data 0.433 (0.170)	Loss 3.3982 (3.1020)	Prec@1 27.344 (28.691)	Prec@5 54.688 (57.287)
Epoch: [46][1690/7045]	Time 0.175 (0.241)	Data 0.123 (0.170)	Loss 3.2791 (3.1019)	Prec@1 22.656 (28.690)	Prec@5 52.734 (57.291)
Epoch: [46][1700/7045]	Time 0.490 (0.241)	Data 0.439 (0.170)	Loss 3.0719 (3.1024)	Prec@1 28.516 (28.684)	Prec@5 58.984 (57.284)
Epoch: [46][1710/7045]	Time 0.194 (0.241)	Data 0.143 (0.170)	Loss 3.0391 (3.1021)	Prec@1 30.078 (28.689)	Prec@5 57.422 (57.292)
Epoch: [46][1720/7045]	Time 0.459 (0.241)	Data 0.408 (0.170)	Loss 3.0782 (3.1020)	Prec@1 28.125 (28.685)	Prec@5 59.375 (57.305)
Epoch: [46][1730/7045]	Time 0.198 (0.241)	Data 0.147 (0.170)	Loss 3.1944 (3.1018)	Prec@1 28.125 (28.689)	Prec@5 56.250 (57.309)
Epoch: [46][1740/7045]	Time 0.446 (0.241)	Data 0.395 (0.170)	Loss 3.1484 (3.1020)	Prec@1 24.219 (28.688)	Prec@5 56.641 (57.309)
Epoch: [46][1750/7045]	Time 0.200 (0.241)	Data 0.149 (0.170)	Loss 3.1497 (3.1019)	Prec@1 29.688 (28.695)	Prec@5 54.688 (57.310)
Epoch: [46][1760/7045]	Time 0.429 (0.241)	Data 0.369 (0.170)	Loss 3.1649 (3.1022)	Prec@1 26.953 (28.693)	Prec@5 57.812 (57.299)
Epoch: [46][1770/7045]	Time 0.229 (0.241)	Data 0.178 (0.170)	Loss 3.2281 (3.1024)	Prec@1 25.781 (28.685)	Prec@5 54.688 (57.298)
Epoch: [46][1780/7045]	Time 0.387 (0.241)	Data 0.330 (0.170)	Loss 2.9427 (3.1026)	Prec@1 32.812 (28.680)	Prec@5 58.984 (57.292)
Epoch: [46][1790/7045]	Time 0.237 (0.241)	Data 0.186 (0.171)	Loss 3.1101 (3.1026)	Prec@1 26.172 (28.678)	Prec@5 58.594 (57.287)
Epoch: [46][1800/7045]	Time 0.426 (0.241)	Data 0.376 (0.171)	Loss 3.1607 (3.1027)	Prec@1 26.562 (28.679)	Prec@5 58.203 (57.290)
Epoch: [46][1810/7045]	Time 0.238 (0.241)	Data 0.187 (0.171)	Loss 3.0394 (3.1025)	Prec@1 25.391 (28.679)	Prec@5 59.766 (57.293)
Epoch: [46][1820/7045]	Time 0.437 (0.241)	Data 0.377 (0.171)	Loss 3.0101 (3.1025)	Prec@1 28.125 (28.675)	Prec@5 54.297 (57.293)
Epoch: [46][1830/7045]	Time 0.174 (0.241)	Data 0.125 (0.171)	Loss 3.1778 (3.1028)	Prec@1 30.078 (28.675)	Prec@5 53.906 (57.283)
Epoch: [46][1840/7045]	Time 0.107 (0.241)	Data 0.056 (0.171)	Loss 3.0324 (3.1024)	Prec@1 30.078 (28.676)	Prec@5 58.203 (57.291)
Epoch: [46][1850/7045]	Time 0.103 (0.241)	Data 0.052 (0.171)	Loss 3.2772 (3.1028)	Prec@1 26.172 (28.675)	Prec@5 56.250 (57.279)
Epoch: [46][1860/7045]	Time 0.134 (0.241)	Data 0.083 (0.171)	Loss 3.2003 (3.1032)	Prec@1 24.219 (28.665)	Prec@5 57.812 (57.274)
Epoch: [46][1870/7045]	Time 0.308 (0.241)	Data 0.257 (0.171)	Loss 3.2191 (3.1028)	Prec@1 23.047 (28.678)	Prec@5 56.641 (57.284)
Epoch: [46][1880/7045]	Time 0.384 (0.241)	Data 0.333 (0.171)	Loss 2.9016 (3.1025)	Prec@1 29.688 (28.678)	Prec@5 64.453 (57.290)
Epoch: [46][1890/7045]	Time 0.345 (0.241)	Data 0.294 (0.171)	Loss 3.0686 (3.1030)	Prec@1 27.734 (28.667)	Prec@5 58.203 (57.281)
Epoch: [46][1900/7045]	Time 0.352 (0.241)	Data 0.300 (0.171)	Loss 3.0573 (3.1032)	Prec@1 27.344 (28.664)	Prec@5 57.422 (57.273)
Epoch: [46][1910/7045]	Time 0.102 (0.241)	Data 0.010 (0.171)	Loss 3.0019 (3.1031)	Prec@1 31.641 (28.664)	Prec@5 56.641 (57.279)
Epoch: [46][1920/7045]	Time 0.311 (0.241)	Data 0.260 (0.171)	Loss 3.0862 (3.1030)	Prec@1 29.297 (28.663)	Prec@5 58.984 (57.283)
Epoch: [46][1930/7045]	Time 0.215 (0.241)	Data 0.164 (0.172)	Loss 2.9756 (3.1031)	Prec@1 27.344 (28.661)	Prec@5 56.641 (57.275)
Epoch: [46][1940/7045]	Time 0.197 (0.241)	Data 0.147 (0.172)	Loss 3.0079 (3.1028)	Prec@1 28.906 (28.666)	Prec@5 57.031 (57.283)
Epoch: [46][1950/7045]	Time 0.240 (0.241)	Data 0.189 (0.172)	Loss 3.0328 (3.1025)	Prec@1 28.906 (28.666)	Prec@5 59.375 (57.287)
Epoch: [46][1960/7045]	Time 0.101 (0.241)	Data 0.001 (0.172)	Loss 3.1227 (3.1023)	Prec@1 26.953 (28.668)	Prec@5 58.594 (57.292)
Epoch: [46][1970/7045]	Time 0.270 (0.241)	Data 0.220 (0.172)	Loss 3.1203 (3.1023)	Prec@1 26.172 (28.668)	Prec@5 54.688 (57.292)
Epoch: [46][1980/7045]	Time 0.242 (0.241)	Data 0.192 (0.172)	Loss 2.9761 (3.1023)	Prec@1 30.469 (28.663)	Prec@5 60.938 (57.294)
Epoch: [46][1990/7045]	Time 0.218 (0.241)	Data 0.168 (0.172)	Loss 3.0348 (3.1021)	Prec@1 29.297 (28.662)	Prec@5 58.594 (57.295)
Epoch: [46][2000/7045]	Time 0.328 (0.241)	Data 0.269 (0.172)	Loss 3.0881 (3.1020)	Prec@1 25.391 (28.663)	Prec@5 57.031 (57.299)
Epoch: [46][2010/7045]	Time 0.110 (0.241)	Data 0.058 (0.172)	Loss 3.1688 (3.1020)	Prec@1 28.906 (28.662)	Prec@5 58.203 (57.301)
Epoch: [46][2020/7045]	Time 0.243 (0.241)	Data 0.192 (0.172)	Loss 3.1085 (3.1020)	Prec@1 27.344 (28.662)	Prec@5 54.688 (57.301)
Epoch: [46][2030/7045]	Time 0.133 (0.241)	Data 0.081 (0.172)	Loss 3.0468 (3.1018)	Prec@1 27.734 (28.661)	Prec@5 57.812 (57.308)
Epoch: [46][2040/7045]	Time 0.217 (0.241)	Data 0.166 (0.172)	Loss 3.1217 (3.1017)	Prec@1 31.641 (28.663)	Prec@5 56.250 (57.314)
Epoch: [46][2050/7045]	Time 0.392 (0.241)	Data 0.340 (0.172)	Loss 3.0212 (3.1017)	Prec@1 27.734 (28.666)	Prec@5 63.281 (57.311)
Epoch: [46][2060/7045]	Time 0.101 (0.241)	Data 0.045 (0.172)	Loss 3.0471 (3.1017)	Prec@1 28.906 (28.669)	Prec@5 58.594 (57.310)
Epoch: [46][2070/7045]	Time 0.403 (0.241)	Data 0.352 (0.172)	Loss 3.1234 (3.1017)	Prec@1 30.078 (28.668)	Prec@5 56.641 (57.312)
Epoch: [46][2080/7045]	Time 0.144 (0.241)	Data 0.093 (0.172)	Loss 3.1884 (3.1019)	Prec@1 25.781 (28.667)	Prec@5 56.250 (57.309)
Epoch: [46][2090/7045]	Time 0.408 (0.241)	Data 0.357 (0.173)	Loss 3.1833 (3.1018)	Prec@1 25.391 (28.673)	Prec@5 55.078 (57.315)
Epoch: [46][2100/7045]	Time 0.412 (0.241)	Data 0.359 (0.173)	Loss 3.0274 (3.1019)	Prec@1 27.344 (28.674)	Prec@5 57.422 (57.313)
Epoch: [46][2110/7045]	Time 0.285 (0.241)	Data 0.234 (0.173)	Loss 3.2988 (3.1020)	Prec@1 25.391 (28.673)	Prec@5 54.688 (57.312)
Epoch: [46][2120/7045]	Time 0.360 (0.241)	Data 0.310 (0.173)	Loss 3.3107 (3.1017)	Prec@1 28.125 (28.680)	Prec@5 54.297 (57.315)
Epoch: [46][2130/7045]	Time 0.112 (0.241)	Data 0.052 (0.173)	Loss 3.2010 (3.1017)	Prec@1 26.172 (28.680)	Prec@5 55.469 (57.319)
Epoch: [46][2140/7045]	Time 0.278 (0.241)	Data 0.227 (0.173)	Loss 3.3120 (3.1023)	Prec@1 30.078 (28.672)	Prec@5 54.688 (57.309)
Epoch: [46][2150/7045]	Time 0.174 (0.241)	Data 0.122 (0.173)	Loss 3.1017 (3.1023)	Prec@1 28.906 (28.674)	Prec@5 57.031 (57.310)
Epoch: [46][2160/7045]	Time 0.292 (0.241)	Data 0.241 (0.173)	Loss 3.0332 (3.1022)	Prec@1 31.250 (28.679)	Prec@5 60.938 (57.313)
Epoch: [46][2170/7045]	Time 0.122 (0.241)	Data 0.071 (0.173)	Loss 3.0972 (3.1023)	Prec@1 27.344 (28.677)	Prec@5 56.641 (57.311)
Epoch: [46][2180/7045]	Time 0.208 (0.241)	Data 0.158 (0.173)	Loss 3.0763 (3.1024)	Prec@1 33.203 (28.675)	Prec@5 56.250 (57.307)
Epoch: [46][2190/7045]	Time 0.101 (0.241)	Data 0.049 (0.173)	Loss 3.2206 (3.1022)	Prec@1 27.734 (28.679)	Prec@5 56.641 (57.308)
Epoch: [46][2200/7045]	Time 0.107 (0.241)	Data 0.055 (0.173)	Loss 3.2057 (3.1022)	Prec@1 28.906 (28.677)	Prec@5 55.078 (57.308)
Epoch: [46][2210/7045]	Time 0.125 (0.241)	Data 0.075 (0.173)	Loss 3.1183 (3.1021)	Prec@1 32.031 (28.680)	Prec@5 61.328 (57.312)
Epoch: [46][2220/7045]	Time 0.289 (0.241)	Data 0.238 (0.173)	Loss 3.2628 (3.1022)	Prec@1 24.609 (28.680)	Prec@5 53.125 (57.310)
Epoch: [46][2230/7045]	Time 0.100 (0.241)	Data 0.001 (0.173)	Loss 2.9406 (3.1021)	Prec@1 33.984 (28.685)	Prec@5 61.719 (57.312)
Epoch: [46][2240/7045]	Time 0.390 (0.241)	Data 0.339 (0.173)	Loss 3.1288 (3.1022)	Prec@1 30.859 (28.679)	Prec@5 60.156 (57.311)
Epoch: [46][2250/7045]	Time 0.102 (0.241)	Data 0.006 (0.173)	Loss 3.0762 (3.1024)	Prec@1 26.172 (28.680)	Prec@5 57.422 (57.309)
Epoch: [46][2260/7045]	Time 0.358 (0.241)	Data 0.306 (0.173)	Loss 3.3174 (3.1024)	Prec@1 26.172 (28.675)	Prec@5 52.734 (57.307)
Epoch: [46][2270/7045]	Time 0.206 (0.241)	Data 0.154 (0.173)	Loss 3.0765 (3.1026)	Prec@1 30.078 (28.668)	Prec@5 55.078 (57.302)
Epoch: [46][2280/7045]	Time 0.329 (0.241)	Data 0.278 (0.173)	Loss 3.3380 (3.1027)	Prec@1 25.391 (28.671)	Prec@5 51.172 (57.304)
Epoch: [46][2290/7045]	Time 0.155 (0.241)	Data 0.104 (0.173)	Loss 3.1069 (3.1031)	Prec@1 25.781 (28.663)	Prec@5 56.641 (57.293)
Epoch: [46][2300/7045]	Time 0.313 (0.241)	Data 0.261 (0.174)	Loss 3.3229 (3.1032)	Prec@1 25.781 (28.663)	Prec@5 53.125 (57.290)
Epoch: [46][2310/7045]	Time 0.110 (0.241)	Data 0.057 (0.174)	Loss 3.1819 (3.1032)	Prec@1 26.953 (28.663)	Prec@5 57.812 (57.290)
Epoch: [46][2320/7045]	Time 0.292 (0.241)	Data 0.242 (0.174)	Loss 3.0610 (3.1034)	Prec@1 33.984 (28.660)	Prec@5 58.594 (57.284)
Epoch: [46][2330/7045]	Time 0.108 (0.241)	Data 0.001 (0.174)	Loss 3.2288 (3.1035)	Prec@1 25.391 (28.656)	Prec@5 54.297 (57.283)
Epoch: [46][2340/7045]	Time 0.244 (0.241)	Data 0.193 (0.174)	Loss 3.4394 (3.1038)	Prec@1 29.297 (28.653)	Prec@5 52.344 (57.279)
Epoch: [46][2350/7045]	Time 0.107 (0.241)	Data 0.006 (0.174)	Loss 3.3286 (3.1039)	Prec@1 22.266 (28.658)	Prec@5 52.734 (57.277)
Epoch: [46][2360/7045]	Time 0.256 (0.241)	Data 0.204 (0.174)	Loss 3.1107 (3.1042)	Prec@1 29.688 (28.657)	Prec@5 59.375 (57.270)
Epoch: [46][2370/7045]	Time 0.120 (0.241)	Data 0.068 (0.174)	Loss 2.9842 (3.1044)	Prec@1 32.031 (28.655)	Prec@5 56.641 (57.267)
Epoch: [46][2380/7045]	Time 0.205 (0.241)	Data 0.154 (0.174)	Loss 3.1053 (3.1043)	Prec@1 30.469 (28.657)	Prec@5 57.031 (57.268)
Epoch: [46][2390/7045]	Time 0.192 (0.241)	Data 0.141 (0.174)	Loss 2.9115 (3.1045)	Prec@1 32.422 (28.650)	Prec@5 60.938 (57.263)
Epoch: [46][2400/7045]	Time 0.166 (0.241)	Data 0.114 (0.174)	Loss 3.1613 (3.1045)	Prec@1 28.125 (28.651)	Prec@5 54.297 (57.260)
Epoch: [46][2410/7045]	Time 0.192 (0.241)	Data 0.135 (0.174)	Loss 3.2095 (3.1045)	Prec@1 27.344 (28.651)	Prec@5 53.125 (57.257)
Epoch: [46][2420/7045]	Time 0.107 (0.241)	Data 0.055 (0.174)	Loss 3.0430 (3.1045)	Prec@1 31.250 (28.651)	Prec@5 59.766 (57.255)
Epoch: [46][2430/7045]	Time 0.222 (0.241)	Data 0.163 (0.174)	Loss 2.9229 (3.1042)	Prec@1 31.641 (28.655)	Prec@5 60.938 (57.262)
Epoch: [46][2440/7045]	Time 0.107 (0.241)	Data 0.055 (0.174)	Loss 3.1379 (3.1042)	Prec@1 28.125 (28.650)	Prec@5 55.078 (57.265)
Epoch: [46][2450/7045]	Time 0.278 (0.241)	Data 0.218 (0.174)	Loss 3.3664 (3.1042)	Prec@1 25.000 (28.649)	Prec@5 54.688 (57.267)
Epoch: [46][2460/7045]	Time 0.102 (0.241)	Data 0.045 (0.174)	Loss 2.9416 (3.1043)	Prec@1 31.641 (28.649)	Prec@5 60.547 (57.268)
Epoch: [46][2470/7045]	Time 0.288 (0.241)	Data 0.238 (0.174)	Loss 3.0557 (3.1042)	Prec@1 30.859 (28.653)	Prec@5 56.641 (57.272)
Epoch: [46][2480/7045]	Time 0.111 (0.241)	Data 0.060 (0.174)	Loss 2.9072 (3.1042)	Prec@1 30.859 (28.648)	Prec@5 60.547 (57.272)
Epoch: [46][2490/7045]	Time 0.314 (0.241)	Data 0.263 (0.174)	Loss 3.3250 (3.1044)	Prec@1 24.609 (28.649)	Prec@5 50.781 (57.270)
Epoch: [46][2500/7045]	Time 0.204 (0.241)	Data 0.154 (0.174)	Loss 2.9980 (3.1044)	Prec@1 26.953 (28.647)	Prec@5 59.766 (57.268)
Epoch: [46][2510/7045]	Time 0.316 (0.241)	Data 0.264 (0.174)	Loss 3.3361 (3.1045)	Prec@1 23.438 (28.642)	Prec@5 53.516 (57.265)
Epoch: [46][2520/7045]	Time 0.218 (0.241)	Data 0.167 (0.174)	Loss 3.2092 (3.1046)	Prec@1 25.391 (28.639)	Prec@5 53.516 (57.263)
Epoch: [46][2530/7045]	Time 0.348 (0.241)	Data 0.298 (0.174)	Loss 3.3324 (3.1047)	Prec@1 27.734 (28.640)	Prec@5 50.781 (57.261)
Epoch: [46][2540/7045]	Time 0.204 (0.241)	Data 0.153 (0.174)	Loss 3.1045 (3.1048)	Prec@1 34.766 (28.640)	Prec@5 60.156 (57.260)
Epoch: [46][2550/7045]	Time 0.392 (0.241)	Data 0.342 (0.174)	Loss 3.2967 (3.1047)	Prec@1 30.078 (28.641)	Prec@5 52.344 (57.256)
Epoch: [46][2560/7045]	Time 0.156 (0.241)	Data 0.104 (0.174)	Loss 2.9731 (3.1045)	Prec@1 27.734 (28.643)	Prec@5 55.469 (57.263)
Epoch: [46][2570/7045]	Time 0.437 (0.241)	Data 0.385 (0.174)	Loss 3.2173 (3.1045)	Prec@1 23.828 (28.642)	Prec@5 53.906 (57.262)
Epoch: [46][2580/7045]	Time 0.101 (0.241)	Data 0.048 (0.174)	Loss 2.9758 (3.1047)	Prec@1 31.250 (28.644)	Prec@5 56.250 (57.256)
Epoch: [46][2590/7045]	Time 0.478 (0.241)	Data 0.428 (0.174)	Loss 3.1457 (3.1048)	Prec@1 32.422 (28.643)	Prec@5 57.031 (57.258)
Epoch: [46][2600/7045]	Time 0.106 (0.241)	Data 0.055 (0.174)	Loss 2.9494 (3.1047)	Prec@1 28.516 (28.642)	Prec@5 63.281 (57.259)
Epoch: [46][2610/7045]	Time 0.340 (0.241)	Data 0.290 (0.174)	Loss 3.2068 (3.1048)	Prec@1 25.781 (28.643)	Prec@5 57.031 (57.261)
Epoch: [46][2620/7045]	Time 0.181 (0.241)	Data 0.129 (0.174)	Loss 3.1582 (3.1049)	Prec@1 28.125 (28.642)	Prec@5 53.906 (57.260)
Epoch: [46][2630/7045]	Time 0.338 (0.241)	Data 0.287 (0.174)	Loss 3.0991 (3.1047)	Prec@1 25.391 (28.646)	Prec@5 61.328 (57.264)
Epoch: [46][2640/7045]	Time 0.503 (0.241)	Data 0.452 (0.175)	Loss 2.9923 (3.1046)	Prec@1 31.250 (28.645)	Prec@5 60.938 (57.269)
Epoch: [46][2650/7045]	Time 0.136 (0.241)	Data 0.084 (0.175)	Loss 3.1694 (3.1046)	Prec@1 30.469 (28.650)	Prec@5 56.641 (57.271)
Epoch: [46][2660/7045]	Time 0.457 (0.241)	Data 0.406 (0.175)	Loss 3.3574 (3.1047)	Prec@1 27.344 (28.650)	Prec@5 51.953 (57.270)
Epoch: [46][2670/7045]	Time 0.151 (0.241)	Data 0.094 (0.175)	Loss 3.1075 (3.1046)	Prec@1 26.172 (28.648)	Prec@5 57.812 (57.270)
Epoch: [46][2680/7045]	Time 0.374 (0.241)	Data 0.323 (0.175)	Loss 3.0441 (3.1047)	Prec@1 29.297 (28.650)	Prec@5 59.766 (57.267)
Epoch: [46][2690/7045]	Time 0.338 (0.241)	Data 0.282 (0.175)	Loss 3.3278 (3.1051)	Prec@1 26.172 (28.645)	Prec@5 52.344 (57.260)
Epoch: [46][2700/7045]	Time 0.283 (0.241)	Data 0.232 (0.175)	Loss 3.0059 (3.1049)	Prec@1 29.297 (28.645)	Prec@5 59.375 (57.266)
Epoch: [46][2710/7045]	Time 0.338 (0.241)	Data 0.287 (0.175)	Loss 2.9558 (3.1053)	Prec@1 32.812 (28.642)	Prec@5 63.672 (57.260)
Epoch: [46][2720/7045]	Time 0.152 (0.241)	Data 0.100 (0.175)	Loss 3.1377 (3.1055)	Prec@1 30.078 (28.641)	Prec@5 55.078 (57.259)
Epoch: [46][2730/7045]	Time 0.244 (0.241)	Data 0.191 (0.175)	Loss 3.1292 (3.1054)	Prec@1 28.906 (28.640)	Prec@5 53.906 (57.257)
Epoch: [46][2740/7045]	Time 0.100 (0.241)	Data 0.006 (0.175)	Loss 3.1381 (3.1056)	Prec@1 25.391 (28.636)	Prec@5 57.422 (57.250)
Epoch: [46][2750/7045]	Time 0.194 (0.241)	Data 0.144 (0.175)	Loss 3.1095 (3.1055)	Prec@1 25.391 (28.633)	Prec@5 58.203 (57.251)
Epoch: [46][2760/7045]	Time 0.103 (0.241)	Data 0.045 (0.175)	Loss 3.3596 (3.1055)	Prec@1 24.609 (28.634)	Prec@5 53.125 (57.252)
Epoch: [46][2770/7045]	Time 0.204 (0.241)	Data 0.154 (0.175)	Loss 3.2344 (3.1057)	Prec@1 31.250 (28.635)	Prec@5 56.641 (57.250)
Epoch: [46][2780/7045]	Time 0.103 (0.241)	Data 0.007 (0.175)	Loss 3.0701 (3.1057)	Prec@1 28.906 (28.635)	Prec@5 58.984 (57.247)
Epoch: [46][2790/7045]	Time 0.218 (0.241)	Data 0.166 (0.175)	Loss 2.8708 (3.1055)	Prec@1 31.250 (28.634)	Prec@5 62.109 (57.247)
Epoch: [46][2800/7045]	Time 0.124 (0.241)	Data 0.074 (0.175)	Loss 3.1894 (3.1057)	Prec@1 26.953 (28.636)	Prec@5 56.641 (57.241)
Epoch: [46][2810/7045]	Time 0.207 (0.241)	Data 0.157 (0.175)	Loss 3.4432 (3.1058)	Prec@1 25.781 (28.634)	Prec@5 53.906 (57.240)
Epoch: [46][2820/7045]	Time 0.178 (0.241)	Data 0.127 (0.175)	Loss 2.9868 (3.1057)	Prec@1 33.203 (28.633)	Prec@5 58.594 (57.242)
Epoch: [46][2830/7045]	Time 0.242 (0.241)	Data 0.191 (0.175)	Loss 2.9550 (3.1056)	Prec@1 28.125 (28.631)	Prec@5 60.547 (57.245)
Epoch: [46][2840/7045]	Time 0.172 (0.241)	Data 0.117 (0.175)	Loss 3.1772 (3.1057)	Prec@1 29.297 (28.634)	Prec@5 56.641 (57.248)
Epoch: [46][2850/7045]	Time 0.267 (0.241)	Data 0.210 (0.175)	Loss 3.0645 (3.1058)	Prec@1 30.859 (28.632)	Prec@5 59.375 (57.246)
Epoch: [46][2860/7045]	Time 0.164 (0.241)	Data 0.113 (0.175)	Loss 3.4358 (3.1060)	Prec@1 21.484 (28.626)	Prec@5 48.828 (57.241)
Epoch: [46][2870/7045]	Time 0.289 (0.241)	Data 0.231 (0.175)	Loss 3.0992 (3.1060)	Prec@1 26.953 (28.623)	Prec@5 57.812 (57.243)
Epoch: [46][2880/7045]	Time 0.098 (0.241)	Data 0.046 (0.175)	Loss 2.9731 (3.1058)	Prec@1 32.031 (28.628)	Prec@5 56.641 (57.247)
Epoch: [46][2890/7045]	Time 0.238 (0.241)	Data 0.186 (0.175)	Loss 3.1264 (3.1059)	Prec@1 31.641 (28.628)	Prec@5 52.734 (57.242)
Epoch: [46][2900/7045]	Time 0.100 (0.241)	Data 0.048 (0.175)	Loss 2.9862 (3.1059)	Prec@1 30.469 (28.629)	Prec@5 57.031 (57.240)
Epoch: [46][2910/7045]	Time 0.265 (0.241)	Data 0.213 (0.175)	Loss 3.0057 (3.1060)	Prec@1 30.469 (28.630)	Prec@5 60.938 (57.239)
Epoch: [46][2920/7045]	Time 0.109 (0.241)	Data 0.057 (0.175)	Loss 3.0439 (3.1058)	Prec@1 29.688 (28.631)	Prec@5 61.328 (57.244)
Epoch: [46][2930/7045]	Time 0.280 (0.241)	Data 0.228 (0.175)	Loss 2.9414 (3.1056)	Prec@1 32.422 (28.638)	Prec@5 62.891 (57.253)
Epoch: [46][2940/7045]	Time 0.118 (0.241)	Data 0.067 (0.175)	Loss 3.1207 (3.1054)	Prec@1 26.172 (28.636)	Prec@5 56.250 (57.255)
Epoch: [46][2950/7045]	Time 0.259 (0.241)	Data 0.201 (0.176)	Loss 3.0443 (3.1055)	Prec@1 30.078 (28.635)	Prec@5 59.766 (57.253)
Epoch: [46][2960/7045]	Time 0.101 (0.241)	Data 0.049 (0.175)	Loss 3.0188 (3.1055)	Prec@1 30.859 (28.629)	Prec@5 56.641 (57.248)
Epoch: [46][2970/7045]	Time 0.285 (0.241)	Data 0.233 (0.176)	Loss 3.1280 (3.1055)	Prec@1 26.562 (28.626)	Prec@5 60.547 (57.251)
Epoch: [46][2980/7045]	Time 0.103 (0.241)	Data 0.051 (0.175)	Loss 3.0539 (3.1056)	Prec@1 29.297 (28.624)	Prec@5 55.078 (57.247)
Epoch: [46][2990/7045]	Time 0.284 (0.241)	Data 0.231 (0.176)	Loss 3.1253 (3.1056)	Prec@1 31.641 (28.624)	Prec@5 61.719 (57.245)
Epoch: [46][3000/7045]	Time 0.102 (0.241)	Data 0.001 (0.175)	Loss 3.0483 (3.1056)	Prec@1 32.422 (28.626)	Prec@5 60.938 (57.244)
Epoch: [46][3010/7045]	Time 0.267 (0.241)	Data 0.211 (0.175)	Loss 3.2721 (3.1056)	Prec@1 22.656 (28.622)	Prec@5 52.344 (57.245)
Epoch: [46][3020/7045]	Time 0.106 (0.241)	Data 0.054 (0.175)	Loss 3.3348 (3.1055)	Prec@1 24.219 (28.622)	Prec@5 51.562 (57.245)
Epoch: [46][3030/7045]	Time 0.232 (0.241)	Data 0.180 (0.175)	Loss 3.2013 (3.1057)	Prec@1 25.781 (28.617)	Prec@5 58.594 (57.243)
Epoch: [46][3040/7045]	Time 0.102 (0.241)	Data 0.042 (0.175)	Loss 3.2530 (3.1055)	Prec@1 28.516 (28.619)	Prec@5 53.125 (57.243)
Epoch: [46][3050/7045]	Time 0.224 (0.241)	Data 0.173 (0.175)	Loss 3.1245 (3.1059)	Prec@1 27.734 (28.614)	Prec@5 55.469 (57.239)
Epoch: [46][3060/7045]	Time 0.101 (0.241)	Data 0.001 (0.175)	Loss 3.1594 (3.1057)	Prec@1 27.344 (28.614)	Prec@5 51.953 (57.241)
Epoch: [46][3070/7045]	Time 0.196 (0.241)	Data 0.145 (0.175)	Loss 3.1366 (3.1055)	Prec@1 28.125 (28.617)	Prec@5 59.375 (57.246)
Epoch: [46][3080/7045]	Time 0.103 (0.241)	Data 0.007 (0.175)	Loss 2.7940 (3.1053)	Prec@1 33.984 (28.621)	Prec@5 63.281 (57.249)
Epoch: [46][3090/7045]	Time 0.165 (0.241)	Data 0.115 (0.175)	Loss 3.2722 (3.1055)	Prec@1 25.000 (28.621)	Prec@5 57.031 (57.248)
Epoch: [46][3100/7045]	Time 0.100 (0.241)	Data 0.002 (0.175)	Loss 3.2318 (3.1054)	Prec@1 28.516 (28.623)	Prec@5 56.250 (57.249)
Epoch: [46][3110/7045]	Time 0.102 (0.241)	Data 0.046 (0.175)	Loss 3.1299 (3.1053)	Prec@1 26.953 (28.624)	Prec@5 56.641 (57.251)
Epoch: [46][3120/7045]	Time 0.136 (0.241)	Data 0.084 (0.175)	Loss 3.0770 (3.1053)	Prec@1 28.906 (28.624)	Prec@5 56.250 (57.248)
Epoch: [46][3130/7045]	Time 0.101 (0.241)	Data 0.004 (0.175)	Loss 2.7801 (3.1055)	Prec@1 31.641 (28.621)	Prec@5 62.109 (57.241)
Epoch: [46][3140/7045]	Time 0.128 (0.241)	Data 0.076 (0.175)	Loss 3.0539 (3.1056)	Prec@1 32.812 (28.619)	Prec@5 57.422 (57.240)
Epoch: [46][3150/7045]	Time 0.101 (0.241)	Data 0.004 (0.175)	Loss 3.1397 (3.1055)	Prec@1 30.859 (28.621)	Prec@5 58.594 (57.244)
Epoch: [46][3160/7045]	Time 0.107 (0.241)	Data 0.055 (0.175)	Loss 2.9963 (3.1053)	Prec@1 37.109 (28.625)	Prec@5 57.031 (57.247)
Epoch: [46][3170/7045]	Time 0.102 (0.241)	Data 0.003 (0.175)	Loss 3.0049 (3.1053)	Prec@1 29.297 (28.629)	Prec@5 58.203 (57.248)
Epoch: [46][3180/7045]	Time 0.115 (0.241)	Data 0.063 (0.175)	Loss 3.1492 (3.1052)	Prec@1 25.781 (28.629)	Prec@5 54.297 (57.249)
Epoch: [46][3190/7045]	Time 0.100 (0.241)	Data 0.044 (0.175)	Loss 3.1322 (3.1053)	Prec@1 27.734 (28.626)	Prec@5 54.688 (57.246)
Epoch: [46][3200/7045]	Time 0.122 (0.241)	Data 0.070 (0.175)	Loss 3.0690 (3.1052)	Prec@1 29.297 (28.626)	Prec@5 58.594 (57.249)
Epoch: [46][3210/7045]	Time 0.204 (0.241)	Data 0.154 (0.176)	Loss 3.1462 (3.1052)	Prec@1 26.953 (28.627)	Prec@5 54.297 (57.246)
Epoch: [46][3220/7045]	Time 0.364 (0.241)	Data 0.306 (0.176)	Loss 3.0537 (3.1051)	Prec@1 25.000 (28.627)	Prec@5 57.031 (57.248)
Epoch: [46][3230/7045]	Time 0.102 (0.241)	Data 0.047 (0.176)	Loss 3.1178 (3.1051)	Prec@1 25.781 (28.625)	Prec@5 59.375 (57.249)
Epoch: [46][3240/7045]	Time 0.333 (0.241)	Data 0.281 (0.176)	Loss 3.1472 (3.1052)	Prec@1 30.859 (28.623)	Prec@5 54.297 (57.248)
Epoch: [46][3250/7045]	Time 0.102 (0.241)	Data 0.051 (0.176)	Loss 3.1989 (3.1053)	Prec@1 27.344 (28.621)	Prec@5 51.562 (57.243)
Epoch: [46][3260/7045]	Time 0.164 (0.241)	Data 0.113 (0.176)	Loss 3.1220 (3.1051)	Prec@1 26.953 (28.626)	Prec@5 57.031 (57.248)
Epoch: [46][3270/7045]	Time 0.368 (0.241)	Data 0.317 (0.176)	Loss 3.1633 (3.1050)	Prec@1 27.734 (28.627)	Prec@5 54.688 (57.248)
Epoch: [46][3280/7045]	Time 0.102 (0.241)	Data 0.001 (0.176)	Loss 3.0399 (3.1050)	Prec@1 26.562 (28.625)	Prec@5 57.812 (57.248)
Epoch: [46][3290/7045]	Time 0.559 (0.241)	Data 0.502 (0.176)	Loss 3.1295 (3.1049)	Prec@1 26.953 (28.626)	Prec@5 58.984 (57.252)
Epoch: [46][3300/7045]	Time 0.103 (0.241)	Data 0.001 (0.176)	Loss 2.9073 (3.1047)	Prec@1 34.375 (28.626)	Prec@5 64.062 (57.256)
Epoch: [46][3310/7045]	Time 0.586 (0.241)	Data 0.536 (0.176)	Loss 3.2780 (3.1051)	Prec@1 25.000 (28.621)	Prec@5 54.297 (57.251)
Epoch: [46][3320/7045]	Time 0.126 (0.241)	Data 0.068 (0.176)	Loss 3.1611 (3.1052)	Prec@1 25.781 (28.615)	Prec@5 55.859 (57.247)
Epoch: [46][3330/7045]	Time 0.526 (0.241)	Data 0.474 (0.176)	Loss 3.0468 (3.1055)	Prec@1 28.906 (28.611)	Prec@5 60.938 (57.244)
Epoch: [46][3340/7045]	Time 0.281 (0.241)	Data 0.223 (0.176)	Loss 3.1300 (3.1055)	Prec@1 28.125 (28.608)	Prec@5 56.641 (57.244)
Epoch: [46][3350/7045]	Time 0.435 (0.241)	Data 0.385 (0.176)	Loss 3.1764 (3.1055)	Prec@1 26.562 (28.607)	Prec@5 52.344 (57.241)
Epoch: [46][3360/7045]	Time 0.281 (0.241)	Data 0.230 (0.176)	Loss 3.4631 (3.1056)	Prec@1 23.438 (28.601)	Prec@5 53.516 (57.241)
Epoch: [46][3370/7045]	Time 0.203 (0.241)	Data 0.151 (0.176)	Loss 2.9979 (3.1056)	Prec@1 31.641 (28.600)	Prec@5 59.375 (57.238)
Epoch: [46][3380/7045]	Time 0.272 (0.241)	Data 0.222 (0.176)	Loss 3.1996 (3.1055)	Prec@1 31.641 (28.605)	Prec@5 55.078 (57.242)
Epoch: [46][3390/7045]	Time 0.160 (0.241)	Data 0.106 (0.176)	Loss 3.0630 (3.1054)	Prec@1 29.297 (28.605)	Prec@5 58.594 (57.242)
Epoch: [46][3400/7045]	Time 0.180 (0.241)	Data 0.130 (0.176)	Loss 3.2680 (3.1054)	Prec@1 25.000 (28.607)	Prec@5 51.953 (57.242)
Epoch: [46][3410/7045]	Time 0.103 (0.241)	Data 0.051 (0.176)	Loss 3.1102 (3.1053)	Prec@1 27.344 (28.608)	Prec@5 57.422 (57.241)
Epoch: [46][3420/7045]	Time 0.102 (0.241)	Data 0.001 (0.176)	Loss 2.9260 (3.1051)	Prec@1 25.781 (28.609)	Prec@5 58.594 (57.243)
Epoch: [46][3430/7045]	Time 0.126 (0.241)	Data 0.075 (0.176)	Loss 2.9728 (3.1052)	Prec@1 31.641 (28.612)	Prec@5 60.156 (57.240)
Epoch: [46][3440/7045]	Time 0.237 (0.241)	Data 0.186 (0.176)	Loss 3.0250 (3.1054)	Prec@1 30.469 (28.610)	Prec@5 57.031 (57.238)
Epoch: [46][3450/7045]	Time 0.132 (0.241)	Data 0.081 (0.176)	Loss 3.1104 (3.1057)	Prec@1 28.906 (28.607)	Prec@5 56.250 (57.232)
Epoch: [46][3460/7045]	Time 0.504 (0.241)	Data 0.452 (0.176)	Loss 3.1796 (3.1058)	Prec@1 26.172 (28.606)	Prec@5 58.203 (57.229)
Epoch: [46][3470/7045]	Time 0.101 (0.241)	Data 0.001 (0.176)	Loss 3.1319 (3.1059)	Prec@1 31.250 (28.606)	Prec@5 59.766 (57.230)
Epoch: [46][3480/7045]	Time 0.428 (0.241)	Data 0.372 (0.176)	Loss 3.0510 (3.1059)	Prec@1 30.469 (28.610)	Prec@5 59.766 (57.231)
Epoch: [46][3490/7045]	Time 0.217 (0.241)	Data 0.166 (0.176)	Loss 3.1079 (3.1058)	Prec@1 30.859 (28.614)	Prec@5 55.859 (57.234)
Epoch: [46][3500/7045]	Time 0.390 (0.241)	Data 0.339 (0.176)	Loss 2.9154 (3.1058)	Prec@1 31.250 (28.610)	Prec@5 62.109 (57.232)
Epoch: [46][3510/7045]	Time 0.394 (0.241)	Data 0.341 (0.176)	Loss 3.0822 (3.1058)	Prec@1 28.516 (28.611)	Prec@5 52.344 (57.228)
Epoch: [46][3520/7045]	Time 0.284 (0.241)	Data 0.231 (0.176)	Loss 3.0568 (3.1059)	Prec@1 27.734 (28.609)	Prec@5 59.766 (57.227)
Epoch: [46][3530/7045]	Time 0.372 (0.241)	Data 0.320 (0.176)	Loss 3.0924 (3.1061)	Prec@1 32.031 (28.606)	Prec@5 57.422 (57.225)
Epoch: [46][3540/7045]	Time 0.171 (0.241)	Data 0.120 (0.176)	Loss 3.1135 (3.1059)	Prec@1 29.297 (28.606)	Prec@5 58.203 (57.230)
Epoch: [46][3550/7045]	Time 0.104 (0.241)	Data 0.049 (0.176)	Loss 3.0683 (3.1059)	Prec@1 30.078 (28.603)	Prec@5 57.031 (57.229)
Epoch: [46][3560/7045]	Time 0.115 (0.241)	Data 0.063 (0.176)	Loss 3.0155 (3.1059)	Prec@1 30.859 (28.603)	Prec@5 61.328 (57.233)
Epoch: [46][3570/7045]	Time 0.191 (0.241)	Data 0.140 (0.176)	Loss 3.1679 (3.1059)	Prec@1 28.516 (28.601)	Prec@5 57.031 (57.234)
Epoch: [46][3580/7045]	Time 0.102 (0.241)	Data 0.006 (0.176)	Loss 3.2625 (3.1057)	Prec@1 28.516 (28.605)	Prec@5 52.344 (57.236)
Epoch: [46][3590/7045]	Time 0.333 (0.241)	Data 0.282 (0.176)	Loss 3.1192 (3.1057)	Prec@1 27.344 (28.605)	Prec@5 58.594 (57.235)
Epoch: [46][3600/7045]	Time 0.106 (0.241)	Data 0.055 (0.176)	Loss 2.9447 (3.1057)	Prec@1 28.906 (28.601)	Prec@5 61.719 (57.238)
Epoch: [46][3610/7045]	Time 0.340 (0.241)	Data 0.288 (0.176)	Loss 2.8923 (3.1056)	Prec@1 31.641 (28.601)	Prec@5 60.547 (57.238)
Epoch: [46][3620/7045]	Time 0.292 (0.241)	Data 0.241 (0.176)	Loss 3.1073 (3.1057)	Prec@1 28.906 (28.600)	Prec@5 57.031 (57.239)
Epoch: [46][3630/7045]	Time 0.327 (0.241)	Data 0.276 (0.176)	Loss 3.1519 (3.1058)	Prec@1 25.781 (28.598)	Prec@5 56.250 (57.234)
Epoch: [46][3640/7045]	Time 0.460 (0.241)	Data 0.405 (0.176)	Loss 3.0882 (3.1058)	Prec@1 30.859 (28.599)	Prec@5 59.375 (57.237)
Epoch: [46][3650/7045]	Time 0.168 (0.241)	Data 0.117 (0.176)	Loss 3.1235 (3.1056)	Prec@1 25.391 (28.601)	Prec@5 57.422 (57.241)
Epoch: [46][3660/7045]	Time 0.477 (0.241)	Data 0.426 (0.176)	Loss 3.1729 (3.1057)	Prec@1 31.641 (28.601)	Prec@5 59.766 (57.243)
Epoch: [46][3670/7045]	Time 0.102 (0.241)	Data 0.008 (0.176)	Loss 2.9373 (3.1057)	Prec@1 30.859 (28.603)	Prec@5 62.891 (57.245)
Epoch: [46][3680/7045]	Time 0.462 (0.241)	Data 0.410 (0.176)	Loss 3.1107 (3.1054)	Prec@1 30.469 (28.609)	Prec@5 60.547 (57.251)
Epoch: [46][3690/7045]	Time 0.108 (0.241)	Data 0.005 (0.176)	Loss 3.1930 (3.1056)	Prec@1 25.781 (28.609)	Prec@5 58.203 (57.248)
Epoch: [46][3700/7045]	Time 0.405 (0.241)	Data 0.354 (0.176)	Loss 3.0551 (3.1055)	Prec@1 26.562 (28.608)	Prec@5 57.031 (57.248)
Epoch: [46][3710/7045]	Time 0.102 (0.241)	Data 0.006 (0.176)	Loss 3.2684 (3.1057)	Prec@1 23.438 (28.606)	Prec@5 54.297 (57.245)
Epoch: [46][3720/7045]	Time 0.203 (0.241)	Data 0.149 (0.176)	Loss 3.1264 (3.1057)	Prec@1 32.422 (28.606)	Prec@5 57.031 (57.245)
Epoch: [46][3730/7045]	Time 0.169 (0.241)	Data 0.117 (0.176)	Loss 3.1328 (3.1057)	Prec@1 32.031 (28.607)	Prec@5 55.078 (57.246)
Epoch: [46][3740/7045]	Time 0.101 (0.241)	Data 0.008 (0.176)	Loss 3.2748 (3.1059)	Prec@1 24.219 (28.603)	Prec@5 49.609 (57.242)
Epoch: [46][3750/7045]	Time 0.172 (0.241)	Data 0.122 (0.176)	Loss 3.2132 (3.1060)	Prec@1 25.781 (28.599)	Prec@5 59.375 (57.241)
Epoch: [46][3760/7045]	Time 0.292 (0.241)	Data 0.240 (0.176)	Loss 3.3264 (3.1061)	Prec@1 24.219 (28.598)	Prec@5 53.906 (57.241)
Epoch: [46][3770/7045]	Time 0.102 (0.241)	Data 0.047 (0.176)	Loss 3.2762 (3.1062)	Prec@1 28.906 (28.595)	Prec@5 55.469 (57.238)
Epoch: [46][3780/7045]	Time 0.301 (0.241)	Data 0.251 (0.176)	Loss 3.2774 (3.1063)	Prec@1 25.391 (28.592)	Prec@5 52.734 (57.235)
Epoch: [46][3790/7045]	Time 0.108 (0.241)	Data 0.055 (0.176)	Loss 3.2514 (3.1063)	Prec@1 32.422 (28.592)	Prec@5 57.031 (57.235)
Epoch: [46][3800/7045]	Time 0.346 (0.241)	Data 0.295 (0.176)	Loss 3.0039 (3.1061)	Prec@1 29.297 (28.594)	Prec@5 59.766 (57.240)
Epoch: [46][3810/7045]	Time 0.241 (0.241)	Data 0.188 (0.176)	Loss 3.3916 (3.1061)	Prec@1 26.953 (28.593)	Prec@5 51.562 (57.240)
Epoch: [46][3820/7045]	Time 0.282 (0.241)	Data 0.232 (0.176)	Loss 3.1821 (3.1062)	Prec@1 26.172 (28.590)	Prec@5 55.859 (57.238)
Epoch: [46][3830/7045]	Time 0.384 (0.241)	Data 0.327 (0.176)	Loss 3.0829 (3.1062)	Prec@1 25.391 (28.592)	Prec@5 59.766 (57.238)
Epoch: [46][3840/7045]	Time 0.193 (0.241)	Data 0.143 (0.176)	Loss 3.1281 (3.1064)	Prec@1 27.344 (28.587)	Prec@5 53.125 (57.232)
Epoch: [46][3850/7045]	Time 0.404 (0.241)	Data 0.354 (0.176)	Loss 3.0569 (3.1063)	Prec@1 30.859 (28.592)	Prec@5 56.250 (57.233)
Epoch: [46][3860/7045]	Time 0.102 (0.241)	Data 0.021 (0.176)	Loss 3.0388 (3.1063)	Prec@1 29.688 (28.592)	Prec@5 60.547 (57.234)
Epoch: [46][3870/7045]	Time 0.346 (0.241)	Data 0.296 (0.176)	Loss 3.0516 (3.1065)	Prec@1 31.641 (28.594)	Prec@5 57.031 (57.229)
Epoch: [46][3880/7045]	Time 0.193 (0.241)	Data 0.135 (0.177)	Loss 2.8885 (3.1065)	Prec@1 28.516 (28.596)	Prec@5 60.938 (57.230)
Epoch: [46][3890/7045]	Time 0.248 (0.241)	Data 0.197 (0.177)	Loss 2.9303 (3.1065)	Prec@1 35.547 (28.597)	Prec@5 61.328 (57.230)
Epoch: [46][3900/7045]	Time 0.149 (0.241)	Data 0.098 (0.177)	Loss 2.9111 (3.1064)	Prec@1 30.469 (28.593)	Prec@5 62.109 (57.230)
Epoch: [46][3910/7045]	Time 0.102 (0.241)	Data 0.001 (0.177)	Loss 3.1585 (3.1065)	Prec@1 26.172 (28.590)	Prec@5 55.859 (57.228)
Epoch: [46][3920/7045]	Time 0.101 (0.241)	Data 0.048 (0.177)	Loss 2.9081 (3.1065)	Prec@1 29.688 (28.591)	Prec@5 60.156 (57.229)
Epoch: [46][3930/7045]	Time 0.229 (0.241)	Data 0.178 (0.177)	Loss 3.0028 (3.1064)	Prec@1 29.297 (28.592)	Prec@5 62.500 (57.232)
Epoch: [46][3940/7045]	Time 0.107 (0.241)	Data 0.055 (0.177)	Loss 3.2825 (3.1063)	Prec@1 28.516 (28.597)	Prec@5 51.562 (57.231)
Epoch: [46][3950/7045]	Time 0.480 (0.241)	Data 0.424 (0.177)	Loss 3.0760 (3.1063)	Prec@1 28.125 (28.596)	Prec@5 57.422 (57.230)
Epoch: [46][3960/7045]	Time 0.102 (0.241)	Data 0.001 (0.177)	Loss 3.0761 (3.1062)	Prec@1 28.516 (28.601)	Prec@5 58.594 (57.232)
Epoch: [46][3970/7045]	Time 0.425 (0.241)	Data 0.375 (0.177)	Loss 3.1015 (3.1061)	Prec@1 26.562 (28.604)	Prec@5 61.719 (57.234)
Epoch: [46][3980/7045]	Time 0.244 (0.241)	Data 0.194 (0.177)	Loss 3.2066 (3.1061)	Prec@1 26.562 (28.604)	Prec@5 56.250 (57.234)
Epoch: [46][3990/7045]	Time 0.367 (0.241)	Data 0.316 (0.177)	Loss 3.1156 (3.1059)	Prec@1 30.469 (28.604)	Prec@5 56.250 (57.235)
Epoch: [46][4000/7045]	Time 0.413 (0.241)	Data 0.354 (0.177)	Loss 3.2109 (3.1060)	Prec@1 25.781 (28.606)	Prec@5 54.297 (57.235)
Epoch: [46][4010/7045]	Time 0.278 (0.241)	Data 0.227 (0.177)	Loss 3.1742 (3.1059)	Prec@1 32.812 (28.606)	Prec@5 55.859 (57.235)
Epoch: [46][4020/7045]	Time 0.407 (0.241)	Data 0.356 (0.177)	Loss 3.1701 (3.1060)	Prec@1 29.297 (28.608)	Prec@5 55.859 (57.236)
Epoch: [46][4030/7045]	Time 0.107 (0.241)	Data 0.001 (0.177)	Loss 3.1553 (3.1058)	Prec@1 28.906 (28.612)	Prec@5 52.344 (57.240)
Epoch: [46][4040/7045]	Time 0.269 (0.241)	Data 0.217 (0.177)	Loss 3.0216 (3.1057)	Prec@1 32.031 (28.617)	Prec@5 57.031 (57.242)
Epoch: [46][4050/7045]	Time 0.136 (0.241)	Data 0.085 (0.177)	Loss 2.9550 (3.1056)	Prec@1 28.906 (28.617)	Prec@5 61.328 (57.243)
Epoch: [46][4060/7045]	Time 0.376 (0.241)	Data 0.324 (0.177)	Loss 3.1959 (3.1056)	Prec@1 29.297 (28.619)	Prec@5 57.812 (57.242)
Epoch: [46][4070/7045]	Time 0.120 (0.241)	Data 0.066 (0.177)	Loss 2.9807 (3.1054)	Prec@1 34.766 (28.622)	Prec@5 60.156 (57.244)
Epoch: [46][4080/7045]	Time 0.416 (0.241)	Data 0.366 (0.177)	Loss 3.0875 (3.1054)	Prec@1 26.953 (28.623)	Prec@5 59.375 (57.243)
Epoch: [46][4090/7045]	Time 0.122 (0.241)	Data 0.071 (0.177)	Loss 3.1203 (3.1055)	Prec@1 27.344 (28.620)	Prec@5 56.250 (57.242)
Epoch: [46][4100/7045]	Time 0.601 (0.241)	Data 0.544 (0.177)	Loss 3.1068 (3.1055)	Prec@1 32.422 (28.622)	Prec@5 53.516 (57.242)
Epoch: [46][4110/7045]	Time 0.101 (0.241)	Data 0.049 (0.177)	Loss 3.2083 (3.1055)	Prec@1 27.344 (28.622)	Prec@5 54.688 (57.240)
Epoch: [46][4120/7045]	Time 0.591 (0.241)	Data 0.539 (0.177)	Loss 2.8933 (3.1054)	Prec@1 32.031 (28.623)	Prec@5 62.500 (57.240)
Epoch: [46][4130/7045]	Time 0.103 (0.241)	Data 0.015 (0.177)	Loss 3.1826 (3.1053)	Prec@1 32.812 (28.626)	Prec@5 57.031 (57.242)
Epoch: [46][4140/7045]	Time 0.545 (0.241)	Data 0.495 (0.177)	Loss 3.0669 (3.1054)	Prec@1 29.297 (28.623)	Prec@5 58.203 (57.236)
Epoch: [46][4150/7045]	Time 0.162 (0.241)	Data 0.111 (0.177)	Loss 3.2444 (3.1055)	Prec@1 28.516 (28.622)	Prec@5 55.078 (57.235)
Epoch: [46][4160/7045]	Time 0.439 (0.241)	Data 0.383 (0.177)	Loss 3.1053 (3.1056)	Prec@1 26.172 (28.621)	Prec@5 54.688 (57.229)
Epoch: [46][4170/7045]	Time 0.104 (0.241)	Data 0.052 (0.177)	Loss 3.1879 (3.1056)	Prec@1 25.781 (28.619)	Prec@5 54.688 (57.229)
Epoch: [46][4180/7045]	Time 0.404 (0.241)	Data 0.353 (0.177)	Loss 3.2671 (3.1056)	Prec@1 24.609 (28.618)	Prec@5 54.688 (57.228)
Epoch: [46][4190/7045]	Time 0.102 (0.241)	Data 0.003 (0.177)	Loss 2.9055 (3.1056)	Prec@1 32.812 (28.618)	Prec@5 63.281 (57.231)
Epoch: [46][4200/7045]	Time 0.441 (0.241)	Data 0.390 (0.177)	Loss 3.3673 (3.1056)	Prec@1 22.266 (28.616)	Prec@5 51.953 (57.231)
Epoch: [46][4210/7045]	Time 0.260 (0.241)	Data 0.208 (0.177)	Loss 3.2233 (3.1056)	Prec@1 27.344 (28.613)	Prec@5 54.688 (57.228)
Epoch: [46][4220/7045]	Time 0.368 (0.241)	Data 0.316 (0.177)	Loss 3.1659 (3.1056)	Prec@1 25.781 (28.613)	Prec@5 55.078 (57.228)
Epoch: [46][4230/7045]	Time 0.400 (0.241)	Data 0.343 (0.177)	Loss 3.0626 (3.1054)	Prec@1 29.688 (28.617)	Prec@5 56.250 (57.233)
Epoch: [46][4240/7045]	Time 0.283 (0.241)	Data 0.225 (0.177)	Loss 2.9074 (3.1054)	Prec@1 30.469 (28.618)	Prec@5 60.938 (57.231)
Epoch: [46][4250/7045]	Time 0.419 (0.241)	Data 0.367 (0.177)	Loss 3.1628 (3.1055)	Prec@1 26.953 (28.619)	Prec@5 53.516 (57.230)
Epoch: [46][4260/7045]	Time 0.105 (0.241)	Data 0.006 (0.177)	Loss 3.0509 (3.1055)	Prec@1 31.641 (28.617)	Prec@5 58.594 (57.230)
Epoch: [46][4270/7045]	Time 0.302 (0.241)	Data 0.251 (0.177)	Loss 3.1545 (3.1056)	Prec@1 28.516 (28.617)	Prec@5 57.812 (57.228)
Epoch: [46][4280/7045]	Time 0.107 (0.241)	Data 0.008 (0.177)	Loss 3.0796 (3.1055)	Prec@1 31.641 (28.617)	Prec@5 55.859 (57.227)
Epoch: [46][4290/7045]	Time 0.288 (0.241)	Data 0.236 (0.177)	Loss 3.1255 (3.1056)	Prec@1 27.344 (28.613)	Prec@5 59.766 (57.226)
Epoch: [46][4300/7045]	Time 0.104 (0.241)	Data 0.052 (0.177)	Loss 3.1324 (3.1057)	Prec@1 25.391 (28.613)	Prec@5 56.641 (57.224)
Epoch: [46][4310/7045]	Time 0.101 (0.241)	Data 0.049 (0.177)	Loss 3.2537 (3.1058)	Prec@1 24.609 (28.612)	Prec@5 54.297 (57.224)
Epoch: [46][4320/7045]	Time 0.102 (0.241)	Data 0.007 (0.177)	Loss 3.2052 (3.1058)	Prec@1 25.391 (28.612)	Prec@5 53.906 (57.224)
Epoch: [46][4330/7045]	Time 0.109 (0.241)	Data 0.058 (0.177)	Loss 3.0482 (3.1058)	Prec@1 28.906 (28.612)	Prec@5 58.203 (57.220)
Epoch: [46][4340/7045]	Time 0.101 (0.241)	Data 0.006 (0.177)	Loss 3.1489 (3.1058)	Prec@1 30.469 (28.614)	Prec@5 55.859 (57.223)
Epoch: [46][4350/7045]	Time 0.373 (0.241)	Data 0.321 (0.177)	Loss 3.1969 (3.1059)	Prec@1 30.469 (28.613)	Prec@5 56.250 (57.222)
Epoch: [46][4360/7045]	Time 0.102 (0.241)	Data 0.001 (0.177)	Loss 3.2119 (3.1059)	Prec@1 27.344 (28.614)	Prec@5 53.516 (57.222)
Epoch: [46][4370/7045]	Time 0.448 (0.241)	Data 0.397 (0.177)	Loss 3.2747 (3.1059)	Prec@1 25.391 (28.612)	Prec@5 51.953 (57.219)
Epoch: [46][4380/7045]	Time 0.147 (0.241)	Data 0.096 (0.177)	Loss 3.0540 (3.1059)	Prec@1 29.297 (28.612)	Prec@5 59.766 (57.221)
Epoch: [46][4390/7045]	Time 0.432 (0.241)	Data 0.380 (0.177)	Loss 3.1532 (3.1058)	Prec@1 26.562 (28.613)	Prec@5 54.297 (57.225)
Epoch: [46][4400/7045]	Time 0.464 (0.241)	Data 0.414 (0.177)	Loss 3.0716 (3.1058)	Prec@1 29.688 (28.614)	Prec@5 60.938 (57.225)
Epoch: [46][4410/7045]	Time 0.353 (0.241)	Data 0.301 (0.177)	Loss 3.2952 (3.1058)	Prec@1 26.953 (28.611)	Prec@5 49.219 (57.223)
Epoch: [46][4420/7045]	Time 0.408 (0.241)	Data 0.357 (0.177)	Loss 3.1780 (3.1058)	Prec@1 28.906 (28.613)	Prec@5 56.250 (57.225)
Epoch: [46][4430/7045]	Time 0.158 (0.241)	Data 0.107 (0.177)	Loss 3.1113 (3.1059)	Prec@1 30.078 (28.612)	Prec@5 55.859 (57.220)
Epoch: [46][4440/7045]	Time 0.350 (0.241)	Data 0.299 (0.177)	Loss 2.8741 (3.1057)	Prec@1 31.641 (28.612)	Prec@5 62.500 (57.223)
Epoch: [46][4450/7045]	Time 0.101 (0.241)	Data 0.003 (0.177)	Loss 3.1477 (3.1057)	Prec@1 27.734 (28.612)	Prec@5 57.812 (57.226)
Epoch: [46][4460/7045]	Time 0.269 (0.241)	Data 0.219 (0.177)	Loss 2.9829 (3.1056)	Prec@1 30.469 (28.611)	Prec@5 60.156 (57.227)
Epoch: [46][4470/7045]	Time 0.103 (0.241)	Data 0.008 (0.177)	Loss 3.0839 (3.1055)	Prec@1 29.297 (28.612)	Prec@5 58.594 (57.230)
Epoch: [46][4480/7045]	Time 0.180 (0.241)	Data 0.128 (0.177)	Loss 3.0747 (3.1056)	Prec@1 29.297 (28.612)	Prec@5 57.422 (57.229)
Epoch: [46][4490/7045]	Time 0.102 (0.241)	Data 0.007 (0.177)	Loss 3.1653 (3.1056)	Prec@1 29.297 (28.609)	Prec@5 54.688 (57.226)
Epoch: [46][4500/7045]	Time 0.160 (0.241)	Data 0.109 (0.177)	Loss 3.1733 (3.1058)	Prec@1 25.781 (28.608)	Prec@5 56.641 (57.223)
Epoch: [46][4510/7045]	Time 0.102 (0.241)	Data 0.001 (0.177)	Loss 3.1029 (3.1058)	Prec@1 26.562 (28.609)	Prec@5 56.250 (57.224)
Epoch: [46][4520/7045]	Time 0.224 (0.241)	Data 0.172 (0.177)	Loss 3.2041 (3.1060)	Prec@1 29.297 (28.607)	Prec@5 53.516 (57.218)
Epoch: [46][4530/7045]	Time 0.098 (0.241)	Data 0.003 (0.177)	Loss 3.0936 (3.1062)	Prec@1 25.391 (28.603)	Prec@5 56.250 (57.217)
Epoch: [46][4540/7045]	Time 0.208 (0.241)	Data 0.157 (0.177)	Loss 3.2537 (3.1063)	Prec@1 28.906 (28.604)	Prec@5 55.859 (57.215)
Epoch: [46][4550/7045]	Time 0.102 (0.241)	Data 0.005 (0.177)	Loss 3.2408 (3.1065)	Prec@1 29.297 (28.600)	Prec@5 53.906 (57.209)
Epoch: [46][4560/7045]	Time 0.188 (0.241)	Data 0.137 (0.177)	Loss 2.9128 (3.1066)	Prec@1 33.203 (28.600)	Prec@5 62.891 (57.208)
Epoch: [46][4570/7045]	Time 0.362 (0.241)	Data 0.310 (0.177)	Loss 3.1586 (3.1065)	Prec@1 23.438 (28.596)	Prec@5 57.812 (57.211)
Epoch: [46][4580/7045]	Time 0.102 (0.241)	Data 0.050 (0.177)	Loss 3.0667 (3.1066)	Prec@1 30.859 (28.595)	Prec@5 58.203 (57.211)
Epoch: [46][4590/7045]	Time 0.272 (0.241)	Data 0.221 (0.177)	Loss 3.3002 (3.1066)	Prec@1 30.078 (28.596)	Prec@5 51.172 (57.209)
Epoch: [46][4600/7045]	Time 0.198 (0.241)	Data 0.148 (0.177)	Loss 3.1947 (3.1068)	Prec@1 26.562 (28.593)	Prec@5 55.859 (57.204)
Epoch: [46][4610/7045]	Time 0.305 (0.241)	Data 0.254 (0.177)	Loss 3.1608 (3.1068)	Prec@1 27.344 (28.592)	Prec@5 58.203 (57.203)
Epoch: [46][4620/7045]	Time 0.486 (0.241)	Data 0.429 (0.177)	Loss 3.1295 (3.1068)	Prec@1 27.734 (28.590)	Prec@5 56.641 (57.203)
Epoch: [46][4630/7045]	Time 0.102 (0.241)	Data 0.047 (0.177)	Loss 3.0738 (3.1068)	Prec@1 28.906 (28.591)	Prec@5 58.594 (57.202)
Epoch: [46][4640/7045]	Time 0.545 (0.241)	Data 0.494 (0.177)	Loss 2.8697 (3.1068)	Prec@1 31.250 (28.592)	Prec@5 58.594 (57.202)
Epoch: [46][4650/7045]	Time 0.102 (0.241)	Data 0.001 (0.177)	Loss 2.8866 (3.1068)	Prec@1 28.125 (28.589)	Prec@5 62.891 (57.203)
Epoch: [46][4660/7045]	Time 0.452 (0.241)	Data 0.402 (0.177)	Loss 3.0878 (3.1066)	Prec@1 31.641 (28.591)	Prec@5 58.984 (57.206)
Epoch: [46][4670/7045]	Time 0.134 (0.241)	Data 0.082 (0.177)	Loss 3.0054 (3.1068)	Prec@1 28.906 (28.585)	Prec@5 58.594 (57.200)
Epoch: [46][4680/7045]	Time 0.505 (0.241)	Data 0.453 (0.177)	Loss 3.1474 (3.1068)	Prec@1 27.734 (28.585)	Prec@5 59.375 (57.204)
Epoch: [46][4690/7045]	Time 0.155 (0.241)	Data 0.103 (0.177)	Loss 3.0056 (3.1067)	Prec@1 31.641 (28.588)	Prec@5 56.250 (57.206)
Epoch: [46][4700/7045]	Time 0.456 (0.241)	Data 0.405 (0.177)	Loss 2.9686 (3.1066)	Prec@1 28.125 (28.588)	Prec@5 59.766 (57.207)
Epoch: [46][4710/7045]	Time 0.102 (0.241)	Data 0.050 (0.177)	Loss 2.9838 (3.1066)	Prec@1 28.906 (28.587)	Prec@5 58.594 (57.205)
Epoch: [46][4720/7045]	Time 0.410 (0.241)	Data 0.360 (0.177)	Loss 3.1984 (3.1067)	Prec@1 24.219 (28.585)	Prec@5 54.297 (57.204)
Epoch: [46][4730/7045]	Time 0.102 (0.241)	Data 0.008 (0.177)	Loss 3.1569 (3.1067)	Prec@1 27.344 (28.585)	Prec@5 58.594 (57.205)
Epoch: [46][4740/7045]	Time 0.400 (0.241)	Data 0.349 (0.177)	Loss 3.2365 (3.1066)	Prec@1 25.391 (28.584)	Prec@5 57.031 (57.208)
Epoch: [46][4750/7045]	Time 0.109 (0.241)	Data 0.003 (0.177)	Loss 3.2098 (3.1068)	Prec@1 29.297 (28.582)	Prec@5 52.344 (57.204)
Epoch: [46][4760/7045]	Time 0.353 (0.241)	Data 0.302 (0.177)	Loss 3.0451 (3.1068)	Prec@1 28.125 (28.581)	Prec@5 59.375 (57.204)
Epoch: [46][4770/7045]	Time 0.102 (0.241)	Data 0.006 (0.177)	Loss 3.1398 (3.1068)	Prec@1 33.203 (28.582)	Prec@5 55.469 (57.203)
Epoch: [46][4780/7045]	Time 0.389 (0.241)	Data 0.338 (0.177)	Loss 3.2923 (3.1070)	Prec@1 25.781 (28.576)	Prec@5 54.688 (57.200)
Epoch: [46][4790/7045]	Time 0.108 (0.241)	Data 0.002 (0.177)	Loss 3.0776 (3.1072)	Prec@1 29.297 (28.574)	Prec@5 59.766 (57.197)
Epoch: [46][4800/7045]	Time 0.361 (0.241)	Data 0.311 (0.177)	Loss 3.2835 (3.1073)	Prec@1 21.094 (28.572)	Prec@5 54.688 (57.193)
Epoch: [46][4810/7045]	Time 0.103 (0.241)	Data 0.050 (0.177)	Loss 3.1218 (3.1072)	Prec@1 29.297 (28.575)	Prec@5 56.641 (57.195)
Epoch: [46][4820/7045]	Time 0.309 (0.241)	Data 0.257 (0.177)	Loss 3.1079 (3.1073)	Prec@1 25.781 (28.572)	Prec@5 59.375 (57.193)
Epoch: [46][4830/7045]	Time 0.104 (0.241)	Data 0.051 (0.177)	Loss 3.2546 (3.1073)	Prec@1 30.078 (28.572)	Prec@5 55.469 (57.194)
Epoch: [46][4840/7045]	Time 0.244 (0.241)	Data 0.193 (0.177)	Loss 3.2046 (3.1073)	Prec@1 24.609 (28.571)	Prec@5 52.344 (57.193)
Epoch: [46][4850/7045]	Time 0.111 (0.241)	Data 0.059 (0.177)	Loss 3.0145 (3.1074)	Prec@1 32.812 (28.570)	Prec@5 53.516 (57.189)
Epoch: [46][4860/7045]	Time 0.154 (0.241)	Data 0.102 (0.177)	Loss 3.1807 (3.1075)	Prec@1 27.344 (28.567)	Prec@5 55.469 (57.187)
Epoch: [46][4870/7045]	Time 0.248 (0.241)	Data 0.197 (0.177)	Loss 3.0622 (3.1075)	Prec@1 26.562 (28.567)	Prec@5 56.641 (57.187)
Epoch: [46][4880/7045]	Time 0.127 (0.241)	Data 0.076 (0.177)	Loss 2.8317 (3.1075)	Prec@1 34.766 (28.569)	Prec@5 62.109 (57.188)
Epoch: [46][4890/7045]	Time 0.220 (0.241)	Data 0.168 (0.177)	Loss 3.1580 (3.1076)	Prec@1 29.688 (28.568)	Prec@5 58.594 (57.188)
Epoch: [46][4900/7045]	Time 0.128 (0.241)	Data 0.078 (0.177)	Loss 3.0801 (3.1076)	Prec@1 27.734 (28.568)	Prec@5 57.031 (57.186)
Epoch: [46][4910/7045]	Time 0.258 (0.241)	Data 0.208 (0.177)	Loss 3.2085 (3.1074)	Prec@1 25.781 (28.569)	Prec@5 55.859 (57.190)
Epoch: [46][4920/7045]	Time 0.353 (0.241)	Data 0.303 (0.177)	Loss 3.0887 (3.1074)	Prec@1 28.516 (28.568)	Prec@5 57.422 (57.191)
Epoch: [46][4930/7045]	Time 0.185 (0.241)	Data 0.134 (0.177)	Loss 2.9818 (3.1074)	Prec@1 30.469 (28.568)	Prec@5 58.984 (57.192)
Epoch: [46][4940/7045]	Time 0.598 (0.241)	Data 0.547 (0.177)	Loss 3.0196 (3.1075)	Prec@1 30.859 (28.564)	Prec@5 59.375 (57.191)
Epoch: [46][4950/7045]	Time 0.208 (0.241)	Data 0.157 (0.177)	Loss 2.9587 (3.1075)	Prec@1 28.906 (28.567)	Prec@5 60.547 (57.194)
Epoch: [46][4960/7045]	Time 0.512 (0.241)	Data 0.462 (0.177)	Loss 3.1066 (3.1074)	Prec@1 29.297 (28.567)	Prec@5 57.422 (57.196)
Epoch: [46][4970/7045]	Time 0.227 (0.241)	Data 0.176 (0.177)	Loss 3.1785 (3.1074)	Prec@1 28.516 (28.567)	Prec@5 55.469 (57.198)
Epoch: [46][4980/7045]	Time 0.540 (0.241)	Data 0.489 (0.177)	Loss 3.0110 (3.1073)	Prec@1 25.781 (28.565)	Prec@5 57.812 (57.200)
Epoch: [46][4990/7045]	Time 0.209 (0.241)	Data 0.158 (0.177)	Loss 3.0437 (3.1073)	Prec@1 26.953 (28.564)	Prec@5 59.766 (57.200)
Epoch: [46][5000/7045]	Time 0.548 (0.241)	Data 0.497 (0.177)	Loss 3.0226 (3.1072)	Prec@1 28.906 (28.566)	Prec@5 58.594 (57.199)
Epoch: [46][5010/7045]	Time 0.229 (0.241)	Data 0.178 (0.177)	Loss 3.1482 (3.1072)	Prec@1 29.688 (28.568)	Prec@5 59.766 (57.201)
Epoch: [46][5020/7045]	Time 0.514 (0.241)	Data 0.464 (0.177)	Loss 3.1535 (3.1072)	Prec@1 28.516 (28.568)	Prec@5 56.250 (57.201)
Epoch: [46][5030/7045]	Time 0.289 (0.241)	Data 0.238 (0.177)	Loss 3.0146 (3.1073)	Prec@1 28.516 (28.567)	Prec@5 58.594 (57.200)
Epoch: [46][5040/7045]	Time 0.517 (0.241)	Data 0.467 (0.177)	Loss 3.4267 (3.1073)	Prec@1 24.609 (28.569)	Prec@5 51.172 (57.201)
Epoch: [46][5050/7045]	Time 0.148 (0.241)	Data 0.098 (0.177)	Loss 2.8996 (3.1072)	Prec@1 34.766 (28.572)	Prec@5 58.203 (57.202)
Epoch: [46][5060/7045]	Time 0.537 (0.241)	Data 0.486 (0.177)	Loss 3.1611 (3.1071)	Prec@1 27.734 (28.576)	Prec@5 57.031 (57.205)
Epoch: [46][5070/7045]	Time 0.105 (0.241)	Data 0.053 (0.177)	Loss 3.1812 (3.1071)	Prec@1 28.906 (28.578)	Prec@5 55.469 (57.206)
Epoch: [46][5080/7045]	Time 0.543 (0.241)	Data 0.491 (0.177)	Loss 2.9613 (3.1070)	Prec@1 28.125 (28.580)	Prec@5 58.203 (57.206)
Epoch: [46][5090/7045]	Time 0.144 (0.241)	Data 0.092 (0.177)	Loss 3.1303 (3.1068)	Prec@1 28.125 (28.582)	Prec@5 60.156 (57.209)
Epoch: [46][5100/7045]	Time 0.574 (0.241)	Data 0.519 (0.177)	Loss 3.1521 (3.1068)	Prec@1 25.391 (28.582)	Prec@5 55.469 (57.208)
Epoch: [46][5110/7045]	Time 0.109 (0.241)	Data 0.058 (0.177)	Loss 3.2779 (3.1068)	Prec@1 27.344 (28.582)	Prec@5 57.422 (57.209)
Epoch: [46][5120/7045]	Time 0.585 (0.241)	Data 0.532 (0.177)	Loss 2.9550 (3.1067)	Prec@1 29.688 (28.584)	Prec@5 60.938 (57.211)
Epoch: [46][5130/7045]	Time 0.103 (0.241)	Data 0.051 (0.177)	Loss 3.3140 (3.1068)	Prec@1 25.781 (28.582)	Prec@5 51.953 (57.212)
Epoch: [46][5140/7045]	Time 0.574 (0.241)	Data 0.524 (0.177)	Loss 3.1312 (3.1068)	Prec@1 30.469 (28.584)	Prec@5 56.641 (57.212)
Epoch: [46][5150/7045]	Time 0.102 (0.241)	Data 0.051 (0.177)	Loss 3.0278 (3.1068)	Prec@1 27.734 (28.582)	Prec@5 58.984 (57.210)
Epoch: [46][5160/7045]	Time 0.614 (0.241)	Data 0.562 (0.177)	Loss 3.2593 (3.1067)	Prec@1 26.953 (28.585)	Prec@5 50.391 (57.213)
Epoch: [46][5170/7045]	Time 0.115 (0.241)	Data 0.063 (0.177)	Loss 3.0031 (3.1066)	Prec@1 28.516 (28.584)	Prec@5 62.891 (57.213)
Epoch: [46][5180/7045]	Time 0.620 (0.241)	Data 0.568 (0.177)	Loss 3.2615 (3.1066)	Prec@1 29.297 (28.583)	Prec@5 55.859 (57.213)
Epoch: [46][5190/7045]	Time 0.102 (0.241)	Data 0.001 (0.177)	Loss 3.0423 (3.1067)	Prec@1 31.250 (28.583)	Prec@5 57.422 (57.212)
Epoch: [46][5200/7045]	Time 0.657 (0.241)	Data 0.602 (0.177)	Loss 3.1677 (3.1068)	Prec@1 32.422 (28.585)	Prec@5 55.078 (57.211)
Epoch: [46][5210/7045]	Time 0.101 (0.241)	Data 0.001 (0.177)	Loss 3.1550 (3.1068)	Prec@1 25.000 (28.588)	Prec@5 58.203 (57.210)
Epoch: [46][5220/7045]	Time 0.655 (0.241)	Data 0.605 (0.177)	Loss 3.1736 (3.1067)	Prec@1 25.781 (28.587)	Prec@5 55.859 (57.213)
Epoch: [46][5230/7045]	Time 0.102 (0.241)	Data 0.001 (0.176)	Loss 3.0004 (3.1068)	Prec@1 31.250 (28.585)	Prec@5 60.156 (57.210)
Epoch: [46][5240/7045]	Time 0.622 (0.241)	Data 0.571 (0.176)	Loss 3.1285 (3.1067)	Prec@1 27.344 (28.586)	Prec@5 58.594 (57.210)
Epoch: [46][5250/7045]	Time 0.102 (0.241)	Data 0.050 (0.176)	Loss 3.0842 (3.1067)	Prec@1 26.172 (28.586)	Prec@5 59.375 (57.212)
Epoch: [46][5260/7045]	Time 0.638 (0.241)	Data 0.588 (0.176)	Loss 3.1006 (3.1067)	Prec@1 26.562 (28.584)	Prec@5 54.297 (57.210)
Epoch: [46][5270/7045]	Time 0.102 (0.241)	Data 0.001 (0.176)	Loss 3.0241 (3.1067)	Prec@1 29.297 (28.584)	Prec@5 59.766 (57.212)
Epoch: [46][5280/7045]	Time 0.623 (0.241)	Data 0.564 (0.176)	Loss 3.1281 (3.1067)	Prec@1 30.469 (28.584)	Prec@5 56.250 (57.211)
Epoch: [46][5290/7045]	Time 0.102 (0.241)	Data 0.016 (0.176)	Loss 3.3838 (3.1068)	Prec@1 24.609 (28.585)	Prec@5 48.047 (57.209)
Epoch: [46][5300/7045]	Time 0.642 (0.241)	Data 0.585 (0.176)	Loss 3.1615 (3.1069)	Prec@1 26.172 (28.584)	Prec@5 54.688 (57.205)
Epoch: [46][5310/7045]	Time 0.101 (0.241)	Data 0.001 (0.176)	Loss 3.1880 (3.1069)	Prec@1 26.562 (28.581)	Prec@5 54.297 (57.206)
Epoch: [46][5320/7045]	Time 0.668 (0.241)	Data 0.618 (0.176)	Loss 3.3482 (3.1069)	Prec@1 24.219 (28.579)	Prec@5 53.516 (57.205)
Epoch: [46][5330/7045]	Time 0.108 (0.241)	Data 0.001 (0.176)	Loss 3.0238 (3.1069)	Prec@1 30.078 (28.580)	Prec@5 57.812 (57.205)
Epoch: [46][5340/7045]	Time 0.643 (0.241)	Data 0.592 (0.176)	Loss 3.2675 (3.1069)	Prec@1 29.688 (28.582)	Prec@5 57.031 (57.206)
Epoch: [46][5350/7045]	Time 0.219 (0.241)	Data 0.168 (0.176)	Loss 3.1723 (3.1067)	Prec@1 31.250 (28.587)	Prec@5 57.812 (57.209)
Epoch: [46][5360/7045]	Time 0.496 (0.241)	Data 0.445 (0.176)	Loss 3.1600 (3.1067)	Prec@1 25.391 (28.588)	Prec@5 53.516 (57.207)
Epoch: [46][5370/7045]	Time 0.274 (0.241)	Data 0.223 (0.176)	Loss 3.1164 (3.1067)	Prec@1 28.516 (28.588)	Prec@5 58.984 (57.209)
Epoch: [46][5380/7045]	Time 0.249 (0.241)	Data 0.198 (0.176)	Loss 3.0786 (3.1067)	Prec@1 28.516 (28.589)	Prec@5 55.859 (57.208)
Epoch: [46][5390/7045]	Time 0.295 (0.241)	Data 0.243 (0.176)	Loss 3.3251 (3.1067)	Prec@1 22.656 (28.589)	Prec@5 50.781 (57.209)
Epoch: [46][5400/7045]	Time 0.102 (0.241)	Data 0.004 (0.176)	Loss 2.9639 (3.1066)	Prec@1 28.516 (28.592)	Prec@5 58.984 (57.213)
Epoch: [46][5410/7045]	Time 0.276 (0.241)	Data 0.224 (0.176)	Loss 3.0076 (3.1066)	Prec@1 28.516 (28.591)	Prec@5 55.469 (57.212)
Epoch: [46][5420/7045]	Time 0.105 (0.241)	Data 0.054 (0.176)	Loss 3.1730 (3.1066)	Prec@1 26.953 (28.590)	Prec@5 54.688 (57.214)
Epoch: [46][5430/7045]	Time 0.416 (0.241)	Data 0.365 (0.176)	Loss 3.1380 (3.1065)	Prec@1 26.953 (28.590)	Prec@5 56.250 (57.215)
Epoch: [46][5440/7045]	Time 0.123 (0.241)	Data 0.072 (0.176)	Loss 3.2840 (3.1066)	Prec@1 28.906 (28.590)	Prec@5 53.906 (57.216)
Epoch: [46][5450/7045]	Time 0.485 (0.241)	Data 0.433 (0.176)	Loss 3.1669 (3.1066)	Prec@1 27.734 (28.587)	Prec@5 56.641 (57.216)
Epoch: [46][5460/7045]	Time 0.101 (0.241)	Data 0.048 (0.176)	Loss 2.8837 (3.1064)	Prec@1 31.641 (28.589)	Prec@5 62.109 (57.218)
Epoch: [46][5470/7045]	Time 0.635 (0.241)	Data 0.576 (0.176)	Loss 2.9110 (3.1063)	Prec@1 33.594 (28.593)	Prec@5 61.719 (57.219)
Epoch: [46][5480/7045]	Time 0.108 (0.241)	Data 0.003 (0.176)	Loss 3.2196 (3.1064)	Prec@1 25.391 (28.591)	Prec@5 55.469 (57.217)
Epoch: [46][5490/7045]	Time 0.660 (0.241)	Data 0.608 (0.176)	Loss 3.1044 (3.1064)	Prec@1 25.781 (28.590)	Prec@5 56.641 (57.217)
Epoch: [46][5500/7045]	Time 0.100 (0.241)	Data 0.001 (0.176)	Loss 3.0464 (3.1065)	Prec@1 30.078 (28.588)	Prec@5 55.859 (57.216)
Epoch: [46][5510/7045]	Time 0.663 (0.241)	Data 0.612 (0.176)	Loss 3.1585 (3.1066)	Prec@1 30.859 (28.588)	Prec@5 57.812 (57.214)
Epoch: [46][5520/7045]	Time 0.100 (0.241)	Data 0.001 (0.176)	Loss 3.1475 (3.1067)	Prec@1 27.344 (28.586)	Prec@5 57.031 (57.213)
Epoch: [46][5530/7045]	Time 0.635 (0.241)	Data 0.583 (0.176)	Loss 3.0665 (3.1066)	Prec@1 30.469 (28.586)	Prec@5 57.031 (57.214)
Epoch: [46][5540/7045]	Time 0.109 (0.241)	Data 0.006 (0.176)	Loss 3.1237 (3.1067)	Prec@1 28.516 (28.585)	Prec@5 55.859 (57.212)
Epoch: [46][5550/7045]	Time 0.653 (0.241)	Data 0.595 (0.176)	Loss 3.1540 (3.1066)	Prec@1 26.562 (28.587)	Prec@5 58.984 (57.213)
Epoch: [46][5560/7045]	Time 0.101 (0.241)	Data 0.001 (0.176)	Loss 3.0473 (3.1066)	Prec@1 28.125 (28.586)	Prec@5 59.375 (57.211)
Epoch: [46][5570/7045]	Time 0.430 (0.241)	Data 0.379 (0.176)	Loss 3.2452 (3.1066)	Prec@1 26.953 (28.586)	Prec@5 53.516 (57.212)
Epoch: [46][5580/7045]	Time 0.101 (0.241)	Data 0.001 (0.176)	Loss 3.1765 (3.1066)	Prec@1 26.562 (28.587)	Prec@5 55.469 (57.213)
Epoch: [46][5590/7045]	Time 0.490 (0.241)	Data 0.438 (0.176)	Loss 3.2891 (3.1066)	Prec@1 25.781 (28.588)	Prec@5 55.859 (57.215)
Epoch: [46][5600/7045]	Time 0.103 (0.241)	Data 0.001 (0.176)	Loss 2.9937 (3.1066)	Prec@1 32.031 (28.587)	Prec@5 57.812 (57.214)
Epoch: [46][5610/7045]	Time 0.418 (0.241)	Data 0.367 (0.176)	Loss 3.0646 (3.1067)	Prec@1 29.297 (28.585)	Prec@5 58.594 (57.212)
Epoch: [46][5620/7045]	Time 0.102 (0.241)	Data 0.001 (0.176)	Loss 2.9133 (3.1067)	Prec@1 30.859 (28.584)	Prec@5 60.938 (57.213)
Epoch: [46][5630/7045]	Time 0.162 (0.241)	Data 0.110 (0.176)	Loss 3.1339 (3.1067)	Prec@1 27.734 (28.584)	Prec@5 57.812 (57.214)
Epoch: [46][5640/7045]	Time 0.102 (0.241)	Data 0.001 (0.176)	Loss 3.1405 (3.1066)	Prec@1 27.344 (28.586)	Prec@5 58.594 (57.218)
Epoch: [46][5650/7045]	Time 0.164 (0.241)	Data 0.113 (0.176)	Loss 3.2507 (3.1066)	Prec@1 31.641 (28.585)	Prec@5 54.297 (57.217)
Epoch: [46][5660/7045]	Time 0.103 (0.241)	Data 0.001 (0.176)	Loss 2.9160 (3.1065)	Prec@1 29.297 (28.587)	Prec@5 64.844 (57.218)
Epoch: [46][5670/7045]	Time 0.102 (0.241)	Data 0.008 (0.176)	Loss 3.0205 (3.1066)	Prec@1 27.344 (28.587)	Prec@5 58.203 (57.218)
Epoch: [46][5680/7045]	Time 0.174 (0.241)	Data 0.122 (0.176)	Loss 2.9690 (3.1064)	Prec@1 29.688 (28.587)	Prec@5 60.938 (57.221)
Epoch: [46][5690/7045]	Time 0.102 (0.241)	Data 0.005 (0.176)	Loss 3.0995 (3.1065)	Prec@1 30.859 (28.587)	Prec@5 57.422 (57.222)
Epoch: [46][5700/7045]	Time 0.378 (0.241)	Data 0.327 (0.176)	Loss 3.3671 (3.1065)	Prec@1 23.438 (28.586)	Prec@5 50.781 (57.220)
Epoch: [46][5710/7045]	Time 0.109 (0.241)	Data 0.054 (0.176)	Loss 2.7928 (3.1066)	Prec@1 32.812 (28.583)	Prec@5 66.406 (57.219)
Epoch: [46][5720/7045]	Time 0.561 (0.241)	Data 0.510 (0.176)	Loss 3.3041 (3.1067)	Prec@1 25.391 (28.579)	Prec@5 51.562 (57.218)
Epoch: [46][5730/7045]	Time 0.118 (0.241)	Data 0.067 (0.176)	Loss 3.1772 (3.1068)	Prec@1 25.391 (28.576)	Prec@5 53.516 (57.218)
Epoch: [46][5740/7045]	Time 0.568 (0.241)	Data 0.517 (0.176)	Loss 3.1015 (3.1069)	Prec@1 27.344 (28.575)	Prec@5 60.547 (57.217)
Epoch: [46][5750/7045]	Time 0.102 (0.241)	Data 0.049 (0.176)	Loss 3.1789 (3.1069)	Prec@1 26.953 (28.576)	Prec@5 53.516 (57.216)
Epoch: [46][5760/7045]	Time 0.697 (0.241)	Data 0.646 (0.176)	Loss 3.0443 (3.1069)	Prec@1 27.734 (28.576)	Prec@5 57.031 (57.217)
Epoch: [46][5770/7045]	Time 0.102 (0.241)	Data 0.001 (0.175)	Loss 3.2435 (3.1068)	Prec@1 24.609 (28.577)	Prec@5 51.172 (57.217)
Epoch: [46][5780/7045]	Time 0.633 (0.241)	Data 0.581 (0.175)	Loss 3.2767 (3.1068)	Prec@1 23.438 (28.578)	Prec@5 57.031 (57.218)
Epoch: [46][5790/7045]	Time 0.109 (0.241)	Data 0.001 (0.175)	Loss 3.0845 (3.1067)	Prec@1 30.469 (28.577)	Prec@5 57.812 (57.217)
Epoch: [46][5800/7045]	Time 0.621 (0.241)	Data 0.570 (0.175)	Loss 3.0667 (3.1067)	Prec@1 28.906 (28.578)	Prec@5 58.594 (57.218)
Epoch: [46][5810/7045]	Time 0.101 (0.241)	Data 0.001 (0.175)	Loss 3.0493 (3.1068)	Prec@1 32.031 (28.579)	Prec@5 59.375 (57.217)
Epoch: [46][5820/7045]	Time 0.572 (0.241)	Data 0.515 (0.175)	Loss 3.0746 (3.1068)	Prec@1 28.906 (28.580)	Prec@5 56.250 (57.216)
Epoch: [46][5830/7045]	Time 0.102 (0.241)	Data 0.001 (0.175)	Loss 3.1110 (3.1067)	Prec@1 27.734 (28.581)	Prec@5 57.031 (57.216)
Epoch: [46][5840/7045]	Time 0.466 (0.241)	Data 0.408 (0.175)	Loss 3.2924 (3.1067)	Prec@1 24.609 (28.582)	Prec@5 51.953 (57.216)
Epoch: [46][5850/7045]	Time 0.102 (0.241)	Data 0.046 (0.175)	Loss 3.1376 (3.1066)	Prec@1 25.391 (28.581)	Prec@5 55.469 (57.217)
Epoch: [46][5860/7045]	Time 0.222 (0.241)	Data 0.172 (0.175)	Loss 3.0905 (3.1067)	Prec@1 28.516 (28.580)	Prec@5 57.422 (57.216)
Epoch: [46][5870/7045]	Time 0.101 (0.241)	Data 0.046 (0.175)	Loss 3.2922 (3.1068)	Prec@1 21.875 (28.577)	Prec@5 53.906 (57.215)
Epoch: [46][5880/7045]	Time 0.210 (0.241)	Data 0.159 (0.175)	Loss 2.9276 (3.1067)	Prec@1 26.172 (28.578)	Prec@5 63.281 (57.216)
Epoch: [46][5890/7045]	Time 0.102 (0.240)	Data 0.003 (0.175)	Loss 2.8577 (3.1067)	Prec@1 32.031 (28.578)	Prec@5 62.109 (57.217)
Epoch: [46][5900/7045]	Time 0.210 (0.241)	Data 0.159 (0.175)	Loss 3.2346 (3.1066)	Prec@1 29.688 (28.580)	Prec@5 52.344 (57.216)
Epoch: [46][5910/7045]	Time 0.099 (0.240)	Data 0.047 (0.175)	Loss 3.2056 (3.1067)	Prec@1 27.734 (28.580)	Prec@5 54.297 (57.216)
Epoch: [46][5920/7045]	Time 0.197 (0.241)	Data 0.144 (0.175)	Loss 3.0322 (3.1067)	Prec@1 29.297 (28.578)	Prec@5 63.281 (57.218)
Epoch: [46][5930/7045]	Time 0.102 (0.240)	Data 0.005 (0.175)	Loss 2.8953 (3.1066)	Prec@1 33.203 (28.580)	Prec@5 62.109 (57.218)
Epoch: [46][5940/7045]	Time 0.185 (0.241)	Data 0.134 (0.175)	Loss 3.0565 (3.1066)	Prec@1 30.078 (28.581)	Prec@5 60.156 (57.221)
Epoch: [46][5950/7045]	Time 0.101 (0.240)	Data 0.001 (0.175)	Loss 3.1695 (3.1065)	Prec@1 27.344 (28.581)	Prec@5 55.469 (57.222)
Epoch: [46][5960/7045]	Time 0.136 (0.240)	Data 0.086 (0.175)	Loss 3.1803 (3.1066)	Prec@1 23.828 (28.577)	Prec@5 55.859 (57.221)
Epoch: [46][5970/7045]	Time 0.105 (0.240)	Data 0.052 (0.175)	Loss 3.3197 (3.1066)	Prec@1 25.781 (28.577)	Prec@5 53.906 (57.221)
Epoch: [46][5980/7045]	Time 0.127 (0.240)	Data 0.076 (0.175)	Loss 3.0874 (3.1067)	Prec@1 27.734 (28.577)	Prec@5 59.375 (57.220)
Epoch: [46][5990/7045]	Time 0.102 (0.240)	Data 0.001 (0.175)	Loss 3.2191 (3.1067)	Prec@1 27.344 (28.576)	Prec@5 55.859 (57.219)
Epoch: [46][6000/7045]	Time 0.102 (0.240)	Data 0.049 (0.175)	Loss 3.1064 (3.1067)	Prec@1 29.688 (28.577)	Prec@5 57.031 (57.220)
Epoch: [46][6010/7045]	Time 0.101 (0.240)	Data 0.001 (0.175)	Loss 3.3140 (3.1067)	Prec@1 26.172 (28.577)	Prec@5 51.953 (57.221)
Epoch: [46][6020/7045]	Time 0.138 (0.240)	Data 0.086 (0.175)	Loss 3.2503 (3.1066)	Prec@1 29.297 (28.579)	Prec@5 55.469 (57.223)
Epoch: [46][6030/7045]	Time 0.102 (0.240)	Data 0.001 (0.175)	Loss 3.1567 (3.1067)	Prec@1 26.172 (28.578)	Prec@5 60.156 (57.224)
Epoch: [46][6040/7045]	Time 0.199 (0.240)	Data 0.148 (0.175)	Loss 3.1378 (3.1068)	Prec@1 30.078 (28.576)	Prec@5 54.688 (57.221)
Epoch: [46][6050/7045]	Time 0.102 (0.240)	Data 0.003 (0.175)	Loss 3.1380 (3.1068)	Prec@1 25.391 (28.576)	Prec@5 55.078 (57.220)
Epoch: [46][6060/7045]	Time 0.209 (0.240)	Data 0.157 (0.175)	Loss 3.0785 (3.1068)	Prec@1 28.516 (28.575)	Prec@5 57.422 (57.220)
Epoch: [46][6070/7045]	Time 0.103 (0.240)	Data 0.002 (0.175)	Loss 3.1155 (3.1067)	Prec@1 28.906 (28.575)	Prec@5 57.812 (57.220)
Epoch: [46][6080/7045]	Time 0.185 (0.240)	Data 0.133 (0.175)	Loss 3.0254 (3.1067)	Prec@1 30.078 (28.574)	Prec@5 59.766 (57.221)
Epoch: [46][6090/7045]	Time 0.102 (0.240)	Data 0.003 (0.175)	Loss 3.0630 (3.1067)	Prec@1 27.344 (28.573)	Prec@5 58.594 (57.221)
Epoch: [46][6100/7045]	Time 0.136 (0.240)	Data 0.084 (0.175)	Loss 3.2494 (3.1068)	Prec@1 22.266 (28.569)	Prec@5 55.078 (57.220)
Epoch: [46][6110/7045]	Time 0.101 (0.240)	Data 0.008 (0.175)	Loss 3.0899 (3.1069)	Prec@1 29.297 (28.568)	Prec@5 57.422 (57.218)
Epoch: [46][6120/7045]	Time 0.146 (0.240)	Data 0.095 (0.175)	Loss 3.1128 (3.1069)	Prec@1 24.609 (28.567)	Prec@5 60.547 (57.219)
Epoch: [46][6130/7045]	Time 0.101 (0.240)	Data 0.048 (0.175)	Loss 3.2747 (3.1070)	Prec@1 24.609 (28.565)	Prec@5 53.906 (57.217)
Epoch: [46][6140/7045]	Time 0.153 (0.240)	Data 0.102 (0.175)	Loss 2.8564 (3.1069)	Prec@1 31.250 (28.565)	Prec@5 62.500 (57.217)
Epoch: [46][6150/7045]	Time 0.101 (0.240)	Data 0.004 (0.175)	Loss 3.1999 (3.1070)	Prec@1 23.047 (28.564)	Prec@5 52.344 (57.216)
Epoch: [46][6160/7045]	Time 0.224 (0.240)	Data 0.173 (0.176)	Loss 3.3612 (3.1070)	Prec@1 23.438 (28.561)	Prec@5 51.953 (57.215)
Epoch: [46][6170/7045]	Time 0.104 (0.240)	Data 0.002 (0.175)	Loss 2.9408 (3.1071)	Prec@1 31.641 (28.559)	Prec@5 61.719 (57.214)
Epoch: [46][6180/7045]	Time 0.231 (0.240)	Data 0.179 (0.176)	Loss 3.1523 (3.1071)	Prec@1 29.688 (28.562)	Prec@5 56.250 (57.213)
Epoch: [46][6190/7045]	Time 0.102 (0.240)	Data 0.004 (0.175)	Loss 3.1313 (3.1071)	Prec@1 26.562 (28.561)	Prec@5 53.516 (57.213)
Epoch: [46][6200/7045]	Time 0.215 (0.240)	Data 0.163 (0.175)	Loss 3.0035 (3.1072)	Prec@1 29.297 (28.562)	Prec@5 61.719 (57.213)
Epoch: [46][6210/7045]	Time 0.101 (0.240)	Data 0.004 (0.175)	Loss 3.0930 (3.1072)	Prec@1 31.250 (28.564)	Prec@5 56.250 (57.212)
Epoch: [46][6220/7045]	Time 0.196 (0.240)	Data 0.145 (0.175)	Loss 3.0779 (3.1073)	Prec@1 28.906 (28.564)	Prec@5 58.594 (57.212)
Epoch: [46][6230/7045]	Time 0.102 (0.240)	Data 0.005 (0.175)	Loss 3.0394 (3.1073)	Prec@1 28.906 (28.563)	Prec@5 56.250 (57.210)
Epoch: [46][6240/7045]	Time 0.200 (0.240)	Data 0.149 (0.175)	Loss 3.0136 (3.1072)	Prec@1 32.422 (28.565)	Prec@5 58.984 (57.210)
Epoch: [46][6250/7045]	Time 0.101 (0.240)	Data 0.001 (0.175)	Loss 3.0505 (3.1072)	Prec@1 27.344 (28.566)	Prec@5 56.641 (57.212)
Epoch: [46][6260/7045]	Time 0.191 (0.240)	Data 0.140 (0.175)	Loss 3.0756 (3.1072)	Prec@1 24.219 (28.563)	Prec@5 55.078 (57.212)
Epoch: [46][6270/7045]	Time 0.103 (0.240)	Data 0.004 (0.175)	Loss 3.1179 (3.1071)	Prec@1 28.516 (28.564)	Prec@5 55.469 (57.213)
Epoch: [46][6280/7045]	Time 0.205 (0.240)	Data 0.154 (0.175)	Loss 3.1237 (3.1071)	Prec@1 27.734 (28.564)	Prec@5 57.422 (57.213)
Epoch: [46][6290/7045]	Time 0.102 (0.240)	Data 0.004 (0.175)	Loss 3.2720 (3.1072)	Prec@1 21.094 (28.563)	Prec@5 57.031 (57.212)
Epoch: [46][6300/7045]	Time 0.229 (0.240)	Data 0.177 (0.175)	Loss 3.1477 (3.1072)	Prec@1 29.688 (28.563)	Prec@5 57.812 (57.213)
Epoch: [46][6310/7045]	Time 0.103 (0.240)	Data 0.001 (0.175)	Loss 2.8037 (3.1072)	Prec@1 36.328 (28.564)	Prec@5 61.719 (57.213)
Epoch: [46][6320/7045]	Time 0.149 (0.240)	Data 0.099 (0.175)	Loss 3.0864 (3.1071)	Prec@1 25.000 (28.564)	Prec@5 58.203 (57.215)
Epoch: [46][6330/7045]	Time 0.101 (0.240)	Data 0.022 (0.175)	Loss 3.0828 (3.1072)	Prec@1 29.297 (28.564)	Prec@5 57.031 (57.215)
Epoch: [46][6340/7045]	Time 0.144 (0.240)	Data 0.093 (0.175)	Loss 3.2184 (3.1072)	Prec@1 23.438 (28.566)	Prec@5 53.125 (57.214)
Epoch: [46][6350/7045]	Time 0.102 (0.240)	Data 0.004 (0.175)	Loss 3.1935 (3.1072)	Prec@1 28.906 (28.566)	Prec@5 55.078 (57.212)
Epoch: [46][6360/7045]	Time 0.123 (0.240)	Data 0.071 (0.175)	Loss 3.0674 (3.1071)	Prec@1 25.781 (28.566)	Prec@5 60.547 (57.212)
Epoch: [46][6370/7045]	Time 0.103 (0.240)	Data 0.001 (0.175)	Loss 2.9611 (3.1071)	Prec@1 32.422 (28.565)	Prec@5 58.984 (57.213)
Epoch: [46][6380/7045]	Time 0.125 (0.240)	Data 0.073 (0.175)	Loss 3.1433 (3.1070)	Prec@1 26.172 (28.566)	Prec@5 53.906 (57.214)
Epoch: [46][6390/7045]	Time 0.099 (0.240)	Data 0.002 (0.175)	Loss 3.2550 (3.1070)	Prec@1 30.078 (28.566)	Prec@5 53.516 (57.215)
Epoch: [46][6400/7045]	Time 0.101 (0.240)	Data 0.048 (0.175)	Loss 3.2057 (3.1070)	Prec@1 29.688 (28.568)	Prec@5 57.422 (57.215)
Epoch: [46][6410/7045]	Time 0.102 (0.240)	Data 0.050 (0.175)	Loss 3.0164 (3.1071)	Prec@1 28.516 (28.565)	Prec@5 57.812 (57.214)
Epoch: [46][6420/7045]	Time 0.113 (0.240)	Data 0.062 (0.175)	Loss 3.0913 (3.1071)	Prec@1 25.781 (28.565)	Prec@5 56.641 (57.216)
Epoch: [46][6430/7045]	Time 0.103 (0.240)	Data 0.002 (0.175)	Loss 2.9929 (3.1071)	Prec@1 31.641 (28.565)	Prec@5 58.594 (57.214)
Epoch: [46][6440/7045]	Time 0.148 (0.240)	Data 0.097 (0.175)	Loss 3.1538 (3.1071)	Prec@1 27.344 (28.565)	Prec@5 60.156 (57.215)
Epoch: [46][6450/7045]	Time 0.101 (0.240)	Data 0.007 (0.175)	Loss 3.0453 (3.1070)	Prec@1 30.469 (28.566)	Prec@5 58.984 (57.217)
Epoch: [46][6460/7045]	Time 0.113 (0.240)	Data 0.063 (0.175)	Loss 2.8498 (3.1070)	Prec@1 31.641 (28.566)	Prec@5 61.328 (57.219)
Epoch: [46][6470/7045]	Time 0.297 (0.240)	Data 0.247 (0.176)	Loss 2.9985 (3.1070)	Prec@1 29.688 (28.566)	Prec@5 60.547 (57.217)
Epoch: [46][6480/7045]	Time 0.105 (0.240)	Data 0.053 (0.176)	Loss 3.2532 (3.1070)	Prec@1 26.172 (28.566)	Prec@5 53.125 (57.218)
Epoch: [46][6490/7045]	Time 0.418 (0.240)	Data 0.367 (0.176)	Loss 3.1489 (3.1071)	Prec@1 26.172 (28.566)	Prec@5 55.469 (57.215)
Epoch: [46][6500/7045]	Time 0.107 (0.240)	Data 0.001 (0.176)	Loss 3.0381 (3.1070)	Prec@1 27.734 (28.567)	Prec@5 57.422 (57.215)
Epoch: [46][6510/7045]	Time 0.375 (0.240)	Data 0.324 (0.176)	Loss 3.2338 (3.1070)	Prec@1 26.172 (28.567)	Prec@5 53.125 (57.214)
Epoch: [46][6520/7045]	Time 0.312 (0.240)	Data 0.261 (0.176)	Loss 3.1621 (3.1069)	Prec@1 26.953 (28.569)	Prec@5 58.203 (57.215)
Epoch: [46][6530/7045]	Time 0.190 (0.240)	Data 0.138 (0.176)	Loss 3.3581 (3.1070)	Prec@1 21.875 (28.567)	Prec@5 48.828 (57.212)
Epoch: [46][6540/7045]	Time 0.384 (0.240)	Data 0.331 (0.176)	Loss 3.2778 (3.1071)	Prec@1 26.562 (28.567)	Prec@5 53.906 (57.212)
Epoch: [46][6550/7045]	Time 0.101 (0.240)	Data 0.002 (0.176)	Loss 3.2941 (3.1071)	Prec@1 24.219 (28.570)	Prec@5 55.078 (57.211)
Epoch: [46][6560/7045]	Time 0.508 (0.240)	Data 0.456 (0.176)	Loss 3.0783 (3.1071)	Prec@1 26.953 (28.570)	Prec@5 58.594 (57.211)
Epoch: [46][6570/7045]	Time 0.270 (0.240)	Data 0.219 (0.176)	Loss 3.1054 (3.1072)	Prec@1 27.344 (28.569)	Prec@5 57.422 (57.209)
Epoch: [46][6580/7045]	Time 0.422 (0.240)	Data 0.371 (0.176)	Loss 2.9615 (3.1071)	Prec@1 33.594 (28.572)	Prec@5 59.375 (57.210)
Epoch: [46][6590/7045]	Time 0.153 (0.240)	Data 0.101 (0.176)	Loss 3.2012 (3.1071)	Prec@1 25.391 (28.572)	Prec@5 58.203 (57.212)
Epoch: [46][6600/7045]	Time 0.141 (0.240)	Data 0.090 (0.176)	Loss 2.9476 (3.1071)	Prec@1 31.641 (28.572)	Prec@5 57.422 (57.211)
Epoch: [46][6610/7045]	Time 0.149 (0.240)	Data 0.097 (0.176)	Loss 2.9978 (3.1072)	Prec@1 31.641 (28.572)	Prec@5 58.594 (57.211)
Epoch: [46][6620/7045]	Time 0.103 (0.240)	Data 0.051 (0.176)	Loss 3.1667 (3.1072)	Prec@1 28.125 (28.573)	Prec@5 55.469 (57.213)
Epoch: [46][6630/7045]	Time 0.150 (0.240)	Data 0.100 (0.176)	Loss 3.0806 (3.1072)	Prec@1 31.250 (28.572)	Prec@5 57.812 (57.213)
Epoch: [46][6640/7045]	Time 0.260 (0.240)	Data 0.210 (0.176)	Loss 3.2137 (3.1071)	Prec@1 27.344 (28.573)	Prec@5 57.422 (57.215)
Epoch: [46][6650/7045]	Time 0.100 (0.240)	Data 0.009 (0.176)	Loss 2.9068 (3.1071)	Prec@1 30.469 (28.572)	Prec@5 62.109 (57.217)
Epoch: [46][6660/7045]	Time 0.223 (0.240)	Data 0.172 (0.176)	Loss 3.0555 (3.1071)	Prec@1 29.688 (28.573)	Prec@5 58.594 (57.217)
Epoch: [46][6670/7045]	Time 0.274 (0.240)	Data 0.224 (0.176)	Loss 3.1468 (3.1071)	Prec@1 30.078 (28.572)	Prec@5 59.375 (57.219)
Epoch: [46][6680/7045]	Time 0.208 (0.240)	Data 0.151 (0.176)	Loss 3.0480 (3.1072)	Prec@1 30.859 (28.571)	Prec@5 58.984 (57.217)
Epoch: [46][6690/7045]	Time 0.523 (0.240)	Data 0.472 (0.176)	Loss 3.2064 (3.1073)	Prec@1 27.344 (28.567)	Prec@5 54.688 (57.215)
Epoch: [46][6700/7045]	Time 0.134 (0.240)	Data 0.082 (0.176)	Loss 3.0219 (3.1074)	Prec@1 33.984 (28.566)	Prec@5 56.641 (57.214)
Epoch: [46][6710/7045]	Time 0.646 (0.240)	Data 0.589 (0.176)	Loss 3.2635 (3.1073)	Prec@1 24.609 (28.566)	Prec@5 53.125 (57.214)
Epoch: [46][6720/7045]	Time 0.103 (0.240)	Data 0.001 (0.176)	Loss 3.0330 (3.1074)	Prec@1 29.688 (28.567)	Prec@5 58.984 (57.213)
Epoch: [46][6730/7045]	Time 0.486 (0.240)	Data 0.433 (0.176)	Loss 3.2373 (3.1075)	Prec@1 26.953 (28.566)	Prec@5 55.859 (57.212)
Epoch: [46][6740/7045]	Time 0.102 (0.240)	Data 0.004 (0.176)	Loss 3.0891 (3.1076)	Prec@1 29.688 (28.565)	Prec@5 59.766 (57.212)
Epoch: [46][6750/7045]	Time 0.457 (0.240)	Data 0.406 (0.176)	Loss 3.2260 (3.1075)	Prec@1 26.562 (28.565)	Prec@5 55.078 (57.212)
Epoch: [46][6760/7045]	Time 0.102 (0.240)	Data 0.003 (0.176)	Loss 3.1579 (3.1076)	Prec@1 29.297 (28.564)	Prec@5 56.250 (57.211)
Epoch: [46][6770/7045]	Time 0.263 (0.240)	Data 0.212 (0.176)	Loss 3.1837 (3.1076)	Prec@1 34.375 (28.564)	Prec@5 55.469 (57.211)
Epoch: [46][6780/7045]	Time 0.101 (0.240)	Data 0.001 (0.176)	Loss 3.2673 (3.1076)	Prec@1 27.344 (28.564)	Prec@5 57.422 (57.208)
Epoch: [46][6790/7045]	Time 0.107 (0.240)	Data 0.006 (0.176)	Loss 3.0691 (3.1076)	Prec@1 28.906 (28.564)	Prec@5 56.250 (57.209)
Epoch: [46][6800/7045]	Time 0.102 (0.240)	Data 0.001 (0.176)	Loss 3.0479 (3.1076)	Prec@1 32.422 (28.563)	Prec@5 60.547 (57.208)
Epoch: [46][6810/7045]	Time 0.167 (0.240)	Data 0.113 (0.176)	Loss 3.0150 (3.1075)	Prec@1 32.422 (28.565)	Prec@5 58.984 (57.211)
Epoch: [46][6820/7045]	Time 0.102 (0.240)	Data 0.001 (0.176)	Loss 3.2872 (3.1077)	Prec@1 23.438 (28.563)	Prec@5 55.859 (57.208)
Epoch: [46][6830/7045]	Time 0.100 (0.240)	Data 0.001 (0.176)	Loss 3.3075 (3.1079)	Prec@1 27.734 (28.560)	Prec@5 55.078 (57.205)
Epoch: [46][6840/7045]	Time 0.300 (0.240)	Data 0.251 (0.176)	Loss 3.2723 (3.1079)	Prec@1 27.734 (28.560)	Prec@5 50.781 (57.205)
Epoch: [46][6850/7045]	Time 0.102 (0.240)	Data 0.004 (0.176)	Loss 3.1591 (3.1079)	Prec@1 27.344 (28.561)	Prec@5 58.594 (57.206)
Epoch: [46][6860/7045]	Time 0.555 (0.240)	Data 0.504 (0.176)	Loss 3.0689 (3.1078)	Prec@1 30.859 (28.562)	Prec@5 58.203 (57.206)
Epoch: [46][6870/7045]	Time 0.108 (0.240)	Data 0.002 (0.176)	Loss 3.0567 (3.1079)	Prec@1 29.297 (28.562)	Prec@5 57.031 (57.206)
Epoch: [46][6880/7045]	Time 0.611 (0.240)	Data 0.559 (0.176)	Loss 3.0642 (3.1079)	Prec@1 28.516 (28.561)	Prec@5 56.641 (57.203)
Epoch: [46][6890/7045]	Time 0.156 (0.240)	Data 0.106 (0.176)	Loss 3.2984 (3.1080)	Prec@1 26.562 (28.562)	Prec@5 52.344 (57.202)
Epoch: [46][6900/7045]	Time 0.685 (0.240)	Data 0.628 (0.176)	Loss 2.9477 (3.1079)	Prec@1 31.250 (28.562)	Prec@5 58.203 (57.202)
Epoch: [46][6910/7045]	Time 0.102 (0.240)	Data 0.001 (0.176)	Loss 2.9024 (3.1078)	Prec@1 36.719 (28.566)	Prec@5 60.547 (57.205)
Epoch: [46][6920/7045]	Time 0.384 (0.240)	Data 0.333 (0.176)	Loss 3.1728 (3.1078)	Prec@1 26.562 (28.568)	Prec@5 56.250 (57.206)
Epoch: [46][6930/7045]	Time 0.101 (0.240)	Data 0.001 (0.175)	Loss 3.2111 (3.1077)	Prec@1 27.344 (28.569)	Prec@5 55.078 (57.207)
Epoch: [46][6940/7045]	Time 0.359 (0.240)	Data 0.303 (0.176)	Loss 3.1881 (3.1078)	Prec@1 26.172 (28.569)	Prec@5 57.812 (57.206)
Epoch: [46][6950/7045]	Time 0.102 (0.240)	Data 0.002 (0.175)	Loss 3.1047 (3.1079)	Prec@1 27.734 (28.566)	Prec@5 56.250 (57.203)
Epoch: [46][6960/7045]	Time 0.107 (0.240)	Data 0.003 (0.176)	Loss 3.0927 (3.1079)	Prec@1 29.297 (28.566)	Prec@5 56.250 (57.204)
Epoch: [46][6970/7045]	Time 0.102 (0.240)	Data 0.001 (0.175)	Loss 3.0201 (3.1078)	Prec@1 30.078 (28.566)	Prec@5 60.547 (57.206)
Epoch: [46][6980/7045]	Time 0.112 (0.240)	Data 0.060 (0.175)	Loss 3.0954 (3.1078)	Prec@1 28.906 (28.570)	Prec@5 57.812 (57.206)
Epoch: [46][6990/7045]	Time 0.138 (0.240)	Data 0.086 (0.175)	Loss 3.1377 (3.1079)	Prec@1 33.203 (28.568)	Prec@5 55.469 (57.205)
Epoch: [46][7000/7045]	Time 0.102 (0.240)	Data 0.049 (0.175)	Loss 2.9673 (3.1078)	Prec@1 31.641 (28.568)	Prec@5 58.203 (57.206)
Epoch: [46][7010/7045]	Time 0.430 (0.240)	Data 0.378 (0.175)	Loss 3.2172 (3.1078)	Prec@1 25.781 (28.568)	Prec@5 53.906 (57.204)
Epoch: [46][7020/7045]	Time 0.105 (0.240)	Data 0.053 (0.175)	Loss 2.9969 (3.1078)	Prec@1 28.516 (28.567)	Prec@5 60.938 (57.206)
Epoch: [46][7030/7045]	Time 0.733 (0.240)	Data 0.680 (0.176)	Loss 2.9528 (3.1079)	Prec@1 33.203 (28.568)	Prec@5 58.984 (57.205)
Epoch: [46][7040/7045]	Time 0.102 (0.240)	Data 0.000 (0.175)	Loss 3.2103 (3.1079)	Prec@1 27.734 (28.568)	Prec@5 57.031 (57.204)
Test: [0/143]	Time 1.412 (1.412)	Loss 2.3961 (2.3961)	Prec@1 44.141 (44.141)	Prec@5 73.438 (73.438)
Test: [10/143]	Time 0.052 (0.260)	Loss 2.2565 (2.5016)	Prec@1 49.219 (40.341)	Prec@5 74.219 (70.028)
Test: [20/143]	Time 0.292 (0.236)	Loss 2.7705 (2.4698)	Prec@1 38.281 (40.086)	Prec@5 64.844 (70.536)
Test: [30/143]	Time 0.057 (0.218)	Loss 2.7136 (2.4971)	Prec@1 37.891 (39.945)	Prec@5 63.672 (69.808)
Test: [40/143]	Time 0.378 (0.213)	Loss 3.3561 (2.5176)	Prec@1 18.359 (39.120)	Prec@5 53.516 (69.255)
Test: [50/143]	Time 0.277 (0.206)	Loss 2.2626 (2.5608)	Prec@1 37.109 (37.600)	Prec@5 75.391 (68.643)
Test: [60/143]	Time 0.049 (0.202)	Loss 2.8806 (2.5490)	Prec@1 25.781 (37.814)	Prec@5 65.625 (68.981)
Test: [70/143]	Time 0.106 (0.196)	Loss 3.4303 (2.5471)	Prec@1 21.094 (37.841)	Prec@5 46.484 (68.855)
Test: [80/143]	Time 0.193 (0.195)	Loss 2.5024 (2.5385)	Prec@1 37.500 (37.982)	Prec@5 71.875 (69.088)
Test: [90/143]	Time 0.386 (0.194)	Loss 2.3256 (2.5388)	Prec@1 38.672 (37.723)	Prec@5 75.000 (69.072)
Test: [100/143]	Time 0.194 (0.190)	Loss 2.1505 (2.5258)	Prec@1 46.094 (37.782)	Prec@5 80.078 (69.438)
Test: [110/143]	Time 0.120 (0.189)	Loss 2.4237 (2.5218)	Prec@1 43.359 (37.993)	Prec@5 69.922 (69.566)
Test: [120/143]	Time 0.251 (0.189)	Loss 2.0811 (2.5093)	Prec@1 45.312 (38.291)	Prec@5 81.641 (69.812)
Test: [130/143]	Time 0.169 (0.188)	Loss 2.3011 (2.5194)	Prec@1 40.234 (38.156)	Prec@5 72.266 (69.525)
Test: [140/143]	Time 0.137 (0.187)	Loss 3.5176 (2.5418)	Prec@1 20.312 (37.766)	Prec@5 47.266 (69.074)
 * Prec@1 37.805 Prec@5 69.107
Epoch: [47][0/7045]	Time 2.336 (2.336)	Data 2.279 (2.279)	Loss 3.1057 (3.1057)	Prec@1 29.688 (29.688)	Prec@5 58.594 (58.594)
Epoch: [47][10/7045]	Time 0.102 (0.399)	Data 0.001 (0.319)	Loss 3.1444 (3.1182)	Prec@1 28.906 (28.658)	Prec@5 54.297 (56.889)
Epoch: [47][20/7045]	Time 0.231 (0.339)	Data 0.180 (0.264)	Loss 3.1247 (3.1049)	Prec@1 29.688 (29.408)	Prec@5 59.375 (57.515)
Epoch: [47][30/7045]	Time 0.102 (0.303)	Data 0.001 (0.228)	Loss 3.0611 (3.1125)	Prec@1 30.859 (29.045)	Prec@5 57.422 (57.296)
Epoch: [47][40/7045]	Time 0.099 (0.293)	Data 0.046 (0.219)	Loss 3.0745 (3.0927)	Prec@1 28.516 (29.211)	Prec@5 58.594 (57.698)
Epoch: [47][50/7045]	Time 0.233 (0.282)	Data 0.182 (0.210)	Loss 2.9898 (3.0855)	Prec@1 28.125 (29.121)	Prec@5 60.156 (57.851)
Epoch: [47][60/7045]	Time 0.101 (0.276)	Data 0.046 (0.207)	Loss 2.9193 (3.0869)	Prec@1 30.078 (29.060)	Prec@5 64.844 (57.723)
Epoch: [47][70/7045]	Time 0.498 (0.274)	Data 0.444 (0.208)	Loss 3.0547 (3.0966)	Prec@1 28.125 (28.736)	Prec@5 56.250 (57.625)
Epoch: [47][80/7045]	Time 0.160 (0.268)	Data 0.109 (0.203)	Loss 3.1787 (3.0981)	Prec@1 25.000 (28.612)	Prec@5 54.688 (57.542)
Epoch: [47][90/7045]	Time 0.430 (0.266)	Data 0.378 (0.203)	Loss 2.8498 (3.0872)	Prec@1 32.031 (28.777)	Prec@5 65.234 (57.812)
Epoch: [47][100/7045]	Time 0.133 (0.263)	Data 0.081 (0.200)	Loss 3.0092 (3.0838)	Prec@1 29.297 (28.767)	Prec@5 58.203 (57.828)
Epoch: [47][110/7045]	Time 0.433 (0.262)	Data 0.382 (0.201)	Loss 3.1043 (3.0839)	Prec@1 29.297 (28.825)	Prec@5 57.031 (57.805)
Epoch: [47][120/7045]	Time 0.162 (0.259)	Data 0.111 (0.199)	Loss 3.1934 (3.0868)	Prec@1 24.219 (28.751)	Prec@5 53.906 (57.719)
Epoch: [47][130/7045]	Time 0.414 (0.258)	Data 0.362 (0.199)	Loss 3.1068 (3.0871)	Prec@1 29.297 (28.799)	Prec@5 54.297 (57.738)
Epoch: [47][140/7045]	Time 0.215 (0.256)	Data 0.164 (0.197)	Loss 3.2066 (3.0877)	Prec@1 28.125 (28.798)	Prec@5 58.203 (57.796)
Epoch: [47][150/7045]	Time 0.379 (0.256)	Data 0.328 (0.197)	Loss 3.0989 (3.0838)	Prec@1 27.734 (28.883)	Prec@5 54.297 (57.851)
Epoch: [47][160/7045]	Time 0.221 (0.254)	Data 0.170 (0.196)	Loss 3.2077 (3.0877)	Prec@1 26.953 (28.831)	Prec@5 55.859 (57.774)
Epoch: [47][170/7045]	Time 0.290 (0.253)	Data 0.239 (0.196)	Loss 3.1393 (3.0890)	Prec@1 30.859 (28.865)	Prec@5 59.375 (57.778)
Epoch: [47][180/7045]	Time 0.226 (0.253)	Data 0.174 (0.195)	Loss 3.0017 (3.0883)	Prec@1 29.688 (28.796)	Prec@5 55.859 (57.754)
Epoch: [47][190/7045]	Time 0.194 (0.252)	Data 0.142 (0.195)	Loss 3.1124 (3.0873)	Prec@1 28.125 (28.839)	Prec@5 58.594 (57.759)
Epoch: [47][200/7045]	Time 0.244 (0.252)	Data 0.193 (0.195)	Loss 3.2400 (3.0856)	Prec@1 25.000 (28.897)	Prec@5 52.344 (57.750)
Epoch: [47][210/7045]	Time 0.101 (0.250)	Data 0.046 (0.194)	Loss 3.2648 (3.0851)	Prec@1 24.609 (28.903)	Prec@5 54.297 (57.785)
Epoch: [47][220/7045]	Time 0.276 (0.251)	Data 0.224 (0.194)	Loss 3.0562 (3.0837)	Prec@1 26.172 (28.906)	Prec@5 58.203 (57.782)
Epoch: [47][230/7045]	Time 0.101 (0.249)	Data 0.047 (0.193)	Loss 3.1280 (3.0807)	Prec@1 27.344 (28.942)	Prec@5 57.031 (57.855)
Epoch: [47][240/7045]	Time 0.299 (0.250)	Data 0.248 (0.194)	Loss 2.9822 (3.0814)	Prec@1 33.984 (28.953)	Prec@5 58.984 (57.808)
Epoch: [47][250/7045]	Time 0.101 (0.249)	Data 0.002 (0.192)	Loss 3.1312 (3.0808)	Prec@1 27.734 (28.953)	Prec@5 55.078 (57.803)
Epoch: [47][260/7045]	Time 0.306 (0.249)	Data 0.255 (0.192)	Loss 3.1706 (3.0831)	Prec@1 25.781 (28.893)	Prec@5 57.812 (57.757)
Epoch: [47][270/7045]	Time 0.106 (0.248)	Data 0.054 (0.192)	Loss 2.9715 (3.0832)	Prec@1 27.344 (28.883)	Prec@5 58.203 (57.766)
Epoch: [47][280/7045]	Time 0.295 (0.248)	Data 0.243 (0.192)	Loss 3.0848 (3.0835)	Prec@1 30.078 (28.897)	Prec@5 60.547 (57.772)
Epoch: [47][290/7045]	Time 0.101 (0.247)	Data 0.005 (0.191)	Loss 3.1746 (3.0838)	Prec@1 26.172 (28.879)	Prec@5 57.422 (57.799)
Epoch: [47][300/7045]	Time 0.348 (0.248)	Data 0.297 (0.191)	Loss 3.3657 (3.0860)	Prec@1 23.828 (28.817)	Prec@5 49.219 (57.757)
Epoch: [47][310/7045]	Time 0.101 (0.247)	Data 0.002 (0.190)	Loss 3.1813 (3.0859)	Prec@1 24.609 (28.816)	Prec@5 54.688 (57.743)
Epoch: [47][320/7045]	Time 0.366 (0.247)	Data 0.314 (0.190)	Loss 3.2323 (3.0866)	Prec@1 23.828 (28.825)	Prec@5 52.734 (57.703)
Epoch: [47][330/7045]	Time 0.104 (0.246)	Data 0.051 (0.189)	Loss 3.0888 (3.0888)	Prec@1 29.297 (28.789)	Prec@5 56.250 (57.663)
Epoch: [47][340/7045]	Time 0.401 (0.247)	Data 0.340 (0.190)	Loss 3.0510 (3.0883)	Prec@1 27.344 (28.791)	Prec@5 60.156 (57.677)
Epoch: [47][350/7045]	Time 0.109 (0.246)	Data 0.057 (0.189)	Loss 2.8533 (3.0870)	Prec@1 30.078 (28.793)	Prec@5 60.547 (57.716)
Epoch: [47][360/7045]	Time 0.414 (0.246)	Data 0.358 (0.189)	Loss 3.1256 (3.0868)	Prec@1 26.953 (28.799)	Prec@5 53.906 (57.695)
Epoch: [47][370/7045]	Time 0.101 (0.245)	Data 0.006 (0.188)	Loss 2.9978 (3.0871)	Prec@1 27.734 (28.800)	Prec@5 55.469 (57.669)
Epoch: [47][380/7045]	Time 0.401 (0.246)	Data 0.348 (0.189)	Loss 3.1629 (3.0860)	Prec@1 28.125 (28.819)	Prec@5 54.297 (57.675)
Epoch: [47][390/7045]	Time 0.107 (0.245)	Data 0.054 (0.188)	Loss 3.1399 (3.0867)	Prec@1 25.000 (28.792)	Prec@5 53.906 (57.676)
Epoch: [47][400/7045]	Time 0.396 (0.246)	Data 0.345 (0.188)	Loss 3.1201 (3.0863)	Prec@1 28.125 (28.775)	Prec@5 58.203 (57.689)
Epoch: [47][410/7045]	Time 0.105 (0.245)	Data 0.053 (0.187)	Loss 3.1195 (3.0856)	Prec@1 26.953 (28.780)	Prec@5 56.641 (57.700)
Epoch: [47][420/7045]	Time 0.373 (0.245)	Data 0.323 (0.187)	Loss 2.8945 (3.0871)	Prec@1 31.250 (28.756)	Prec@5 63.672 (57.673)
Epoch: [47][430/7045]	Time 0.110 (0.244)	Data 0.059 (0.186)	Loss 3.1786 (3.0854)	Prec@1 27.734 (28.792)	Prec@5 55.859 (57.679)
Epoch: [47][440/7045]	Time 0.319 (0.245)	Data 0.268 (0.187)	Loss 3.1677 (3.0848)	Prec@1 32.422 (28.805)	Prec@5 57.812 (57.687)
Epoch: [47][450/7045]	Time 0.187 (0.244)	Data 0.135 (0.186)	Loss 3.0079 (3.0841)	Prec@1 28.906 (28.814)	Prec@5 58.203 (57.692)
Epoch: [47][460/7045]	Time 0.242 (0.245)	Data 0.190 (0.186)	Loss 2.9753 (3.0833)	Prec@1 30.859 (28.844)	Prec@5 60.156 (57.717)
Epoch: [47][470/7045]	Time 0.200 (0.244)	Data 0.149 (0.186)	Loss 3.2505 (3.0837)	Prec@1 29.297 (28.847)	Prec@5 51.562 (57.729)
Epoch: [47][480/7045]	Time 0.244 (0.244)	Data 0.189 (0.186)	Loss 3.1066 (3.0825)	Prec@1 28.516 (28.863)	Prec@5 54.688 (57.763)
Epoch: [47][490/7045]	Time 0.224 (0.244)	Data 0.172 (0.186)	Loss 3.0120 (3.0810)	Prec@1 32.031 (28.902)	Prec@5 60.547 (57.794)
Epoch: [47][500/7045]	Time 0.111 (0.244)	Data 0.007 (0.186)	Loss 2.8932 (3.0804)	Prec@1 28.516 (28.932)	Prec@5 65.234 (57.811)
Epoch: [47][510/7045]	Time 0.139 (0.244)	Data 0.088 (0.185)	Loss 3.4296 (3.0808)	Prec@1 22.266 (28.977)	Prec@5 48.828 (57.794)
Epoch: [47][520/7045]	Time 0.107 (0.244)	Data 0.007 (0.185)	Loss 3.0286 (3.0816)	Prec@1 30.469 (28.997)	Prec@5 57.422 (57.792)
Epoch: [47][530/7045]	Time 0.108 (0.244)	Data 0.057 (0.185)	Loss 3.1066 (3.0812)	Prec@1 30.078 (28.984)	Prec@5 54.688 (57.806)
Epoch: [47][540/7045]	Time 0.101 (0.244)	Data 0.001 (0.185)	Loss 2.9493 (3.0816)	Prec@1 32.031 (28.976)	Prec@5 59.375 (57.792)
Epoch: [47][550/7045]	Time 0.121 (0.243)	Data 0.069 (0.184)	Loss 3.0413 (3.0814)	Prec@1 27.344 (28.973)	Prec@5 59.766 (57.784)
Epoch: [47][560/7045]	Time 0.101 (0.244)	Data 0.003 (0.184)	Loss 2.8531 (3.0800)	Prec@1 32.031 (28.984)	Prec@5 64.844 (57.822)
Epoch: [47][570/7045]	Time 0.121 (0.243)	Data 0.070 (0.184)	Loss 3.1293 (3.0796)	Prec@1 32.422 (28.984)	Prec@5 56.641 (57.827)
Epoch: [47][580/7045]	Time 0.101 (0.243)	Data 0.006 (0.184)	Loss 2.9838 (3.0801)	Prec@1 25.391 (28.961)	Prec@5 60.156 (57.819)
Epoch: [47][590/7045]	Time 0.161 (0.243)	Data 0.110 (0.184)	Loss 2.9951 (3.0803)	Prec@1 28.125 (28.980)	Prec@5 58.984 (57.807)
Epoch: [47][600/7045]	Time 0.102 (0.243)	Data 0.003 (0.184)	Loss 3.1787 (3.0798)	Prec@1 25.781 (28.971)	Prec@5 52.344 (57.819)
Epoch: [47][610/7045]	Time 0.155 (0.243)	Data 0.104 (0.184)	Loss 2.9931 (3.0812)	Prec@1 27.734 (28.942)	Prec@5 56.641 (57.784)
Epoch: [47][620/7045]	Time 0.101 (0.243)	Data 0.012 (0.184)	Loss 3.0780 (3.0815)	Prec@1 28.906 (28.940)	Prec@5 55.469 (57.787)
Epoch: [47][630/7045]	Time 0.197 (0.243)	Data 0.146 (0.183)	Loss 2.9265 (3.0810)	Prec@1 30.078 (28.937)	Prec@5 58.984 (57.792)
Epoch: [47][640/7045]	Time 0.103 (0.243)	Data 0.005 (0.183)	Loss 2.7039 (3.0807)	Prec@1 37.891 (28.947)	Prec@5 67.188 (57.792)
Epoch: [47][650/7045]	Time 0.210 (0.243)	Data 0.159 (0.183)	Loss 3.1767 (3.0805)	Prec@1 27.344 (28.953)	Prec@5 55.469 (57.799)
Epoch: [47][660/7045]	Time 0.099 (0.243)	Data 0.001 (0.183)	Loss 3.2049 (3.0815)	Prec@1 28.906 (28.933)	Prec@5 53.906 (57.785)
Epoch: [47][670/7045]	Time 0.236 (0.243)	Data 0.185 (0.183)	Loss 3.1964 (3.0823)	Prec@1 30.469 (28.917)	Prec@5 55.469 (57.773)
Epoch: [47][680/7045]	Time 0.102 (0.243)	Data 0.002 (0.183)	Loss 3.1602 (3.0827)	Prec@1 27.344 (28.914)	Prec@5 55.469 (57.757)
Epoch: [47][690/7045]	Time 0.214 (0.243)	Data 0.163 (0.183)	Loss 3.0704 (3.0834)	Prec@1 27.734 (28.898)	Prec@5 55.078 (57.729)
Epoch: [47][700/7045]	Time 0.102 (0.242)	Data 0.003 (0.183)	Loss 3.1940 (3.0830)	Prec@1 28.906 (28.905)	Prec@5 53.516 (57.733)
Epoch: [47][710/7045]	Time 0.215 (0.242)	Data 0.164 (0.183)	Loss 3.0629 (3.0829)	Prec@1 29.688 (28.903)	Prec@5 57.031 (57.729)
Epoch: [47][720/7045]	Time 0.102 (0.242)	Data 0.005 (0.182)	Loss 3.1796 (3.0836)	Prec@1 23.828 (28.878)	Prec@5 58.594 (57.727)
Epoch: [47][730/7045]	Time 0.207 (0.242)	Data 0.156 (0.182)	Loss 3.0128 (3.0831)	Prec@1 31.250 (28.891)	Prec@5 58.984 (57.742)
Epoch: [47][740/7045]	Time 0.101 (0.242)	Data 0.003 (0.182)	Loss 3.0913 (3.0829)	Prec@1 25.781 (28.886)	Prec@5 58.203 (57.752)
Epoch: [47][750/7045]	Time 0.184 (0.242)	Data 0.133 (0.182)	Loss 3.1549 (3.0836)	Prec@1 26.562 (28.878)	Prec@5 56.250 (57.732)
Epoch: [47][760/7045]	Time 0.101 (0.242)	Data 0.001 (0.182)	Loss 3.1396 (3.0844)	Prec@1 27.734 (28.858)	Prec@5 57.422 (57.720)
Epoch: [47][770/7045]	Time 0.229 (0.242)	Data 0.178 (0.182)	Loss 3.1867 (3.0842)	Prec@1 29.297 (28.872)	Prec@5 57.422 (57.731)
Epoch: [47][780/7045]	Time 0.103 (0.242)	Data 0.004 (0.182)	Loss 3.0555 (3.0846)	Prec@1 32.031 (28.872)	Prec@5 57.812 (57.730)
Epoch: [47][790/7045]	Time 0.145 (0.242)	Data 0.093 (0.182)	Loss 3.1879 (3.0841)	Prec@1 27.734 (28.890)	Prec@5 54.688 (57.740)
Epoch: [47][800/7045]	Time 0.104 (0.242)	Data 0.005 (0.182)	Loss 3.0426 (3.0839)	Prec@1 32.031 (28.898)	Prec@5 59.375 (57.740)
Epoch: [47][810/7045]	Time 0.218 (0.242)	Data 0.164 (0.182)	Loss 2.8604 (3.0845)	Prec@1 32.422 (28.876)	Prec@5 58.594 (57.734)
Epoch: [47][820/7045]	Time 0.102 (0.242)	Data 0.005 (0.181)	Loss 3.0247 (3.0839)	Prec@1 27.344 (28.892)	Prec@5 58.203 (57.751)
Epoch: [47][830/7045]	Time 0.239 (0.242)	Data 0.187 (0.182)	Loss 2.9612 (3.0834)	Prec@1 30.469 (28.897)	Prec@5 59.766 (57.754)
Epoch: [47][840/7045]	Time 0.110 (0.242)	Data 0.056 (0.182)	Loss 2.9622 (3.0837)	Prec@1 32.031 (28.887)	Prec@5 60.547 (57.752)
Epoch: [47][850/7045]	Time 0.279 (0.242)	Data 0.221 (0.182)	Loss 3.2269 (3.0841)	Prec@1 28.906 (28.872)	Prec@5 53.125 (57.736)
Epoch: [47][860/7045]	Time 0.101 (0.242)	Data 0.005 (0.181)	Loss 2.8643 (3.0837)	Prec@1 35.938 (28.887)	Prec@5 62.891 (57.736)
Epoch: [47][870/7045]	Time 0.286 (0.242)	Data 0.230 (0.182)	Loss 3.1212 (3.0837)	Prec@1 22.656 (28.877)	Prec@5 59.766 (57.739)
Epoch: [47][880/7045]	Time 0.103 (0.242)	Data 0.020 (0.181)	Loss 3.2621 (3.0838)	Prec@1 23.047 (28.870)	Prec@5 56.250 (57.735)
Epoch: [47][890/7045]	Time 0.336 (0.242)	Data 0.277 (0.182)	Loss 2.8584 (3.0839)	Prec@1 35.938 (28.858)	Prec@5 60.547 (57.727)
Epoch: [47][900/7045]	Time 0.101 (0.242)	Data 0.001 (0.181)	Loss 3.0192 (3.0833)	Prec@1 30.859 (28.871)	Prec@5 59.375 (57.730)
Epoch: [47][910/7045]	Time 0.349 (0.242)	Data 0.298 (0.181)	Loss 2.9935 (3.0836)	Prec@1 27.344 (28.869)	Prec@5 58.203 (57.722)
Epoch: [47][920/7045]	Time 0.102 (0.241)	Data 0.001 (0.181)	Loss 3.0271 (3.0832)	Prec@1 29.688 (28.878)	Prec@5 58.594 (57.730)
Epoch: [47][930/7045]	Time 0.371 (0.242)	Data 0.318 (0.181)	Loss 3.2204 (3.0832)	Prec@1 21.484 (28.868)	Prec@5 57.812 (57.726)
Epoch: [47][940/7045]	Time 0.102 (0.241)	Data 0.001 (0.180)	Loss 2.9806 (3.0828)	Prec@1 26.953 (28.882)	Prec@5 58.594 (57.728)
Epoch: [47][950/7045]	Time 0.410 (0.242)	Data 0.358 (0.181)	Loss 2.8336 (3.0823)	Prec@1 31.250 (28.884)	Prec@5 58.594 (57.737)
Epoch: [47][960/7045]	Time 0.102 (0.241)	Data 0.001 (0.180)	Loss 3.3522 (3.0821)	Prec@1 27.734 (28.878)	Prec@5 54.297 (57.741)
Epoch: [47][970/7045]	Time 0.399 (0.242)	Data 0.349 (0.180)	Loss 2.8897 (3.0823)	Prec@1 32.812 (28.866)	Prec@5 65.234 (57.738)
Epoch: [47][980/7045]	Time 0.101 (0.241)	Data 0.001 (0.180)	Loss 2.9174 (3.0823)	Prec@1 33.984 (28.860)	Prec@5 57.812 (57.736)
Epoch: [47][990/7045]	Time 0.424 (0.241)	Data 0.370 (0.180)	Loss 2.9607 (3.0817)	Prec@1 32.812 (28.870)	Prec@5 58.984 (57.751)
Epoch: [47][1000/7045]	Time 0.102 (0.241)	Data 0.001 (0.179)	Loss 3.0127 (3.0818)	Prec@1 26.953 (28.866)	Prec@5 58.594 (57.749)
Epoch: [47][1010/7045]	Time 0.442 (0.241)	Data 0.390 (0.180)	Loss 3.0641 (3.0818)	Prec@1 27.734 (28.862)	Prec@5 54.688 (57.735)
Epoch: [47][1020/7045]	Time 0.102 (0.241)	Data 0.001 (0.179)	Loss 3.1333 (3.0821)	Prec@1 32.031 (28.860)	Prec@5 55.469 (57.721)
Epoch: [47][1030/7045]	Time 0.324 (0.241)	Data 0.272 (0.179)	Loss 3.1582 (3.0824)	Prec@1 27.344 (28.850)	Prec@5 51.562 (57.707)
Epoch: [47][1040/7045]	Time 0.102 (0.241)	Data 0.050 (0.179)	Loss 3.2129 (3.0825)	Prec@1 27.344 (28.853)	Prec@5 57.812 (57.704)
Epoch: [47][1050/7045]	Time 0.325 (0.241)	Data 0.274 (0.179)	Loss 2.9722 (3.0827)	Prec@1 33.984 (28.838)	Prec@5 58.984 (57.691)
Epoch: [47][1060/7045]	Time 0.115 (0.241)	Data 0.063 (0.179)	Loss 2.7970 (3.0825)	Prec@1 33.203 (28.843)	Prec@5 61.328 (57.695)
Epoch: [47][1070/7045]	Time 0.337 (0.241)	Data 0.275 (0.179)	Loss 3.1889 (3.0823)	Prec@1 27.344 (28.844)	Prec@5 55.078 (57.702)
Epoch: [47][1080/7045]	Time 0.101 (0.241)	Data 0.004 (0.178)	Loss 3.3062 (3.0827)	Prec@1 23.438 (28.838)	Prec@5 53.125 (57.689)
Epoch: [47][1090/7045]	Time 0.272 (0.241)	Data 0.220 (0.179)	Loss 2.8564 (3.0820)	Prec@1 33.203 (28.857)	Prec@5 61.328 (57.696)
Epoch: [47][1100/7045]	Time 0.101 (0.241)	Data 0.001 (0.178)	Loss 3.0526 (3.0818)	Prec@1 25.391 (28.860)	Prec@5 57.422 (57.694)
Epoch: [47][1110/7045]	Time 0.291 (0.241)	Data 0.239 (0.179)	Loss 3.0195 (3.0811)	Prec@1 31.641 (28.869)	Prec@5 56.641 (57.701)
Epoch: [47][1120/7045]	Time 0.102 (0.241)	Data 0.001 (0.178)	Loss 3.0062 (3.0814)	Prec@1 28.906 (28.864)	Prec@5 57.812 (57.681)
Epoch: [47][1130/7045]	Time 0.257 (0.241)	Data 0.205 (0.179)	Loss 3.0809 (3.0812)	Prec@1 31.641 (28.878)	Prec@5 56.250 (57.686)
Epoch: [47][1140/7045]	Time 0.100 (0.241)	Data 0.001 (0.178)	Loss 2.9758 (3.0814)	Prec@1 32.422 (28.880)	Prec@5 57.031 (57.682)
Epoch: [47][1150/7045]	Time 0.276 (0.241)	Data 0.225 (0.178)	Loss 3.1378 (3.0815)	Prec@1 28.516 (28.878)	Prec@5 59.766 (57.688)
Epoch: [47][1160/7045]	Time 0.102 (0.241)	Data 0.007 (0.178)	Loss 3.1166 (3.0810)	Prec@1 28.125 (28.885)	Prec@5 56.641 (57.707)
Epoch: [47][1170/7045]	Time 0.207 (0.241)	Data 0.155 (0.178)	Loss 3.0576 (3.0807)	Prec@1 26.172 (28.881)	Prec@5 60.156 (57.708)
Epoch: [47][1180/7045]	Time 0.101 (0.241)	Data 0.001 (0.178)	Loss 3.0703 (3.0806)	Prec@1 28.516 (28.883)	Prec@5 57.812 (57.712)
Epoch: [47][1190/7045]	Time 0.161 (0.241)	Data 0.109 (0.178)	Loss 3.1848 (3.0807)	Prec@1 26.953 (28.878)	Prec@5 51.953 (57.705)
Epoch: [47][1200/7045]	Time 0.102 (0.241)	Data 0.001 (0.178)	Loss 3.2584 (3.0806)	Prec@1 26.953 (28.880)	Prec@5 53.516 (57.704)
Epoch: [47][1210/7045]	Time 0.143 (0.241)	Data 0.092 (0.178)	Loss 3.0238 (3.0807)	Prec@1 28.516 (28.874)	Prec@5 58.203 (57.718)
Epoch: [47][1220/7045]	Time 0.101 (0.241)	Data 0.006 (0.178)	Loss 2.9190 (3.0802)	Prec@1 32.031 (28.882)	Prec@5 60.938 (57.726)
Epoch: [47][1230/7045]	Time 0.107 (0.241)	Data 0.055 (0.178)	Loss 3.1027 (3.0798)	Prec@1 30.469 (28.898)	Prec@5 56.641 (57.733)
Epoch: [47][1240/7045]	Time 0.101 (0.241)	Data 0.002 (0.178)	Loss 3.3596 (3.0803)	Prec@1 26.172 (28.892)	Prec@5 52.344 (57.732)
Epoch: [47][1250/7045]	Time 0.174 (0.241)	Data 0.122 (0.178)	Loss 3.1125 (3.0803)	Prec@1 29.297 (28.893)	Prec@5 58.203 (57.738)
Epoch: [47][1260/7045]	Time 0.102 (0.241)	Data 0.005 (0.178)	Loss 3.1744 (3.0806)	Prec@1 25.781 (28.878)	Prec@5 56.641 (57.739)
Epoch: [47][1270/7045]	Time 0.115 (0.241)	Data 0.063 (0.178)	Loss 3.1473 (3.0812)	Prec@1 23.047 (28.875)	Prec@5 56.641 (57.726)
Epoch: [47][1280/7045]	Time 0.101 (0.241)	Data 0.001 (0.178)	Loss 3.1837 (3.0817)	Prec@1 26.562 (28.859)	Prec@5 53.906 (57.715)
Epoch: [47][1290/7045]	Time 0.103 (0.241)	Data 0.050 (0.178)	Loss 3.1610 (3.0820)	Prec@1 27.734 (28.855)	Prec@5 58.203 (57.704)
Epoch: [47][1300/7045]	Time 0.101 (0.241)	Data 0.009 (0.178)	Loss 3.0324 (3.0823)	Prec@1 29.688 (28.859)	Prec@5 55.078 (57.700)
Epoch: [47][1310/7045]	Time 0.105 (0.241)	Data 0.052 (0.178)	Loss 3.1586 (3.0826)	Prec@1 22.266 (28.852)	Prec@5 57.031 (57.685)
Epoch: [47][1320/7045]	Time 0.108 (0.241)	Data 0.056 (0.178)	Loss 2.8990 (3.0826)	Prec@1 34.375 (28.855)	Prec@5 61.719 (57.687)
Epoch: [47][1330/7045]	Time 0.102 (0.241)	Data 0.047 (0.178)	Loss 3.1971 (3.0828)	Prec@1 28.906 (28.857)	Prec@5 55.859 (57.678)
Epoch: [47][1340/7045]	Time 0.172 (0.241)	Data 0.121 (0.178)	Loss 3.1665 (3.0829)	Prec@1 28.906 (28.848)	Prec@5 55.859 (57.681)
Epoch: [47][1350/7045]	Time 0.101 (0.241)	Data 0.046 (0.178)	Loss 2.7028 (3.0827)	Prec@1 33.984 (28.847)	Prec@5 66.016 (57.682)
Epoch: [47][1360/7045]	Time 0.164 (0.240)	Data 0.111 (0.178)	Loss 2.9951 (3.0823)	Prec@1 26.172 (28.860)	Prec@5 60.938 (57.689)
Epoch: [47][1370/7045]	Time 0.114 (0.241)	Data 0.062 (0.178)	Loss 3.0647 (3.0820)	Prec@1 28.906 (28.866)	Prec@5 57.031 (57.694)
Epoch: [47][1380/7045]	Time 0.202 (0.240)	Data 0.150 (0.178)	Loss 3.0946 (3.0821)	Prec@1 27.344 (28.866)	Prec@5 57.031 (57.696)
Epoch: [47][1390/7045]	Time 0.503 (0.241)	Data 0.452 (0.179)	Loss 3.1339 (3.0823)	Prec@1 32.422 (28.867)	Prec@5 56.641 (57.691)
Epoch: [47][1400/7045]	Time 0.109 (0.241)	Data 0.001 (0.179)	Loss 3.1925 (3.0824)	Prec@1 30.469 (28.869)	Prec@5 53.125 (57.684)
Epoch: [47][1410/7045]	Time 0.420 (0.241)	Data 0.369 (0.179)	Loss 2.9139 (3.0826)	Prec@1 31.250 (28.861)	Prec@5 64.453 (57.676)
Epoch: [47][1420/7045]	Time 0.134 (0.241)	Data 0.079 (0.179)	Loss 3.1284 (3.0828)	Prec@1 29.297 (28.861)	Prec@5 58.984 (57.677)
Epoch: [47][1430/7045]	Time 0.212 (0.241)	Data 0.161 (0.179)	Loss 3.2426 (3.0828)	Prec@1 23.438 (28.863)	Prec@5 54.688 (57.679)
Epoch: [47][1440/7045]	Time 0.147 (0.241)	Data 0.093 (0.179)	Loss 3.1579 (3.0828)	Prec@1 27.734 (28.856)	Prec@5 57.422 (57.676)
Epoch: [47][1450/7045]	Time 0.121 (0.241)	Data 0.060 (0.179)	Loss 2.9361 (3.0823)	Prec@1 30.078 (28.860)	Prec@5 62.500 (57.687)
Epoch: [47][1460/7045]	Time 0.109 (0.241)	Data 0.057 (0.179)	Loss 2.9552 (3.0821)	Prec@1 28.516 (28.859)	Prec@5 60.938 (57.689)
Epoch: [47][1470/7045]	Time 0.137 (0.241)	Data 0.085 (0.179)	Loss 3.1040 (3.0825)	Prec@1 28.906 (28.853)	Prec@5 59.375 (57.682)
Epoch: [47][1480/7045]	Time 0.157 (0.241)	Data 0.106 (0.179)	Loss 2.9676 (3.0823)	Prec@1 30.859 (28.856)	Prec@5 58.594 (57.691)
Epoch: [47][1490/7045]	Time 0.315 (0.241)	Data 0.256 (0.179)	Loss 3.1493 (3.0826)	Prec@1 29.688 (28.855)	Prec@5 55.078 (57.683)
Epoch: [47][1500/7045]	Time 0.407 (0.241)	Data 0.356 (0.179)	Loss 3.1378 (3.0831)	Prec@1 27.344 (28.851)	Prec@5 55.859 (57.666)
Epoch: [47][1510/7045]	Time 0.328 (0.241)	Data 0.270 (0.179)	Loss 2.9697 (3.0830)	Prec@1 30.469 (28.856)	Prec@5 62.109 (57.670)
Epoch: [47][1520/7045]	Time 0.429 (0.241)	Data 0.371 (0.179)	Loss 3.2539 (3.0832)	Prec@1 24.219 (28.846)	Prec@5 57.031 (57.669)
Epoch: [47][1530/7045]	Time 0.309 (0.241)	Data 0.258 (0.179)	Loss 3.2187 (3.0836)	Prec@1 26.172 (28.840)	Prec@5 54.297 (57.668)
Epoch: [47][1540/7045]	Time 0.440 (0.241)	Data 0.382 (0.179)	Loss 3.1830 (3.0841)	Prec@1 27.734 (28.830)	Prec@5 57.031 (57.666)
Epoch: [47][1550/7045]	Time 0.348 (0.241)	Data 0.290 (0.179)	Loss 3.0083 (3.0840)	Prec@1 30.078 (28.828)	Prec@5 57.422 (57.662)
Epoch: [47][1560/7045]	Time 0.387 (0.241)	Data 0.331 (0.179)	Loss 3.1365 (3.0838)	Prec@1 26.562 (28.828)	Prec@5 57.812 (57.672)
Epoch: [47][1570/7045]	Time 0.361 (0.241)	Data 0.302 (0.179)	Loss 2.9159 (3.0837)	Prec@1 33.984 (28.830)	Prec@5 60.547 (57.674)
Epoch: [47][1580/7045]	Time 0.366 (0.241)	Data 0.308 (0.179)	Loss 3.0955 (3.0838)	Prec@1 31.250 (28.834)	Prec@5 54.688 (57.669)
Epoch: [47][1590/7045]	Time 0.328 (0.241)	Data 0.275 (0.179)	Loss 2.9876 (3.0840)	Prec@1 27.344 (28.819)	Prec@5 59.375 (57.668)
Epoch: [47][1600/7045]	Time 0.333 (0.241)	Data 0.282 (0.179)	Loss 3.0186 (3.0840)	Prec@1 26.953 (28.823)	Prec@5 60.156 (57.669)
Epoch: [47][1610/7045]	Time 0.325 (0.241)	Data 0.274 (0.179)	Loss 3.3281 (3.0839)	Prec@1 24.219 (28.821)	Prec@5 53.516 (57.668)
Epoch: [47][1620/7045]	Time 0.313 (0.241)	Data 0.258 (0.179)	Loss 3.1419 (3.0841)	Prec@1 25.781 (28.820)	Prec@5 55.469 (57.667)
Epoch: [47][1630/7045]	Time 0.354 (0.241)	Data 0.302 (0.179)	Loss 3.0800 (3.0841)	Prec@1 28.516 (28.820)	Prec@5 58.984 (57.670)
Epoch: [47][1640/7045]	Time 0.267 (0.241)	Data 0.211 (0.179)	Loss 3.0069 (3.0841)	Prec@1 29.688 (28.819)	Prec@5 57.422 (57.673)
Epoch: [47][1650/7045]	Time 0.336 (0.241)	Data 0.285 (0.179)	Loss 3.1970 (3.0840)	Prec@1 27.734 (28.818)	Prec@5 56.250 (57.682)
Epoch: [47][1660/7045]	Time 0.261 (0.241)	Data 0.204 (0.179)	Loss 3.1819 (3.0841)	Prec@1 28.906 (28.817)	Prec@5 56.250 (57.682)
Epoch: [47][1670/7045]	Time 0.381 (0.241)	Data 0.330 (0.179)	Loss 3.0221 (3.0839)	Prec@1 32.422 (28.821)	Prec@5 61.719 (57.691)
Epoch: [47][1680/7045]	Time 0.247 (0.241)	Data 0.189 (0.180)	Loss 2.9171 (3.0836)	Prec@1 33.984 (28.835)	Prec@5 60.938 (57.698)
Epoch: [47][1690/7045]	Time 0.371 (0.241)	Data 0.320 (0.180)	Loss 3.2239 (3.0839)	Prec@1 26.562 (28.827)	Prec@5 53.516 (57.692)
Epoch: [47][1700/7045]	Time 0.250 (0.241)	Data 0.191 (0.180)	Loss 3.0913 (3.0840)	Prec@1 26.562 (28.828)	Prec@5 58.594 (57.687)
Epoch: [47][1710/7045]	Time 0.343 (0.241)	Data 0.293 (0.180)	Loss 3.0387 (3.0837)	Prec@1 30.859 (28.834)	Prec@5 61.328 (57.695)
Epoch: [47][1720/7045]	Time 0.238 (0.241)	Data 0.187 (0.180)	Loss 3.2028 (3.0837)	Prec@1 25.781 (28.829)	Prec@5 55.469 (57.691)
Epoch: [47][1730/7045]	Time 0.292 (0.241)	Data 0.242 (0.180)	Loss 3.1824 (3.0841)	Prec@1 24.219 (28.821)	Prec@5 55.859 (57.687)
Epoch: [47][1740/7045]	Time 0.196 (0.241)	Data 0.147 (0.180)	Loss 3.0685 (3.0837)	Prec@1 30.469 (28.827)	Prec@5 56.250 (57.693)
Epoch: [47][1750/7045]	Time 0.240 (0.241)	Data 0.189 (0.180)	Loss 3.1662 (3.0838)	Prec@1 26.953 (28.827)	Prec@5 56.641 (57.691)
Epoch: [47][1760/7045]	Time 0.176 (0.241)	Data 0.124 (0.180)	Loss 3.2088 (3.0835)	Prec@1 24.219 (28.834)	Prec@5 50.391 (57.697)
Epoch: [47][1770/7045]	Time 0.218 (0.240)	Data 0.167 (0.180)	Loss 3.1061 (3.0835)	Prec@1 28.125 (28.838)	Prec@5 60.938 (57.701)
Epoch: [47][1780/7045]	Time 0.152 (0.240)	Data 0.102 (0.180)	Loss 3.0890 (3.0836)	Prec@1 30.469 (28.833)	Prec@5 57.422 (57.699)
Epoch: [47][1790/7045]	Time 0.161 (0.240)	Data 0.110 (0.180)	Loss 2.8158 (3.0837)	Prec@1 33.984 (28.830)	Prec@5 61.719 (57.695)
Epoch: [47][1800/7045]	Time 0.101 (0.240)	Data 0.047 (0.180)	Loss 3.1607 (3.0838)	Prec@1 31.250 (28.832)	Prec@5 57.422 (57.693)
Epoch: [47][1810/7045]	Time 0.123 (0.240)	Data 0.073 (0.180)	Loss 3.1723 (3.0840)	Prec@1 28.516 (28.826)	Prec@5 58.203 (57.690)
Epoch: [47][1820/7045]	Time 0.302 (0.241)	Data 0.243 (0.180)	Loss 3.0497 (3.0837)	Prec@1 26.172 (28.837)	Prec@5 56.641 (57.702)
Epoch: [47][1830/7045]	Time 0.102 (0.240)	Data 0.001 (0.180)	Loss 2.9439 (3.0838)	Prec@1 30.078 (28.841)	Prec@5 63.281 (57.704)
Epoch: [47][1840/7045]	Time 0.345 (0.241)	Data 0.289 (0.180)	Loss 3.2103 (3.0837)	Prec@1 24.609 (28.840)	Prec@5 56.250 (57.706)
Epoch: [47][1850/7045]	Time 0.136 (0.240)	Data 0.086 (0.180)	Loss 2.9072 (3.0834)	Prec@1 33.203 (28.851)	Prec@5 59.375 (57.712)
Epoch: [47][1860/7045]	Time 0.381 (0.241)	Data 0.322 (0.180)	Loss 2.8365 (3.0834)	Prec@1 31.641 (28.846)	Prec@5 60.938 (57.708)
Epoch: [47][1870/7045]	Time 0.318 (0.241)	Data 0.262 (0.180)	Loss 3.0509 (3.0833)	Prec@1 29.297 (28.848)	Prec@5 58.203 (57.712)
Epoch: [47][1880/7045]	Time 0.343 (0.241)	Data 0.293 (0.180)	Loss 2.9726 (3.0829)	Prec@1 28.906 (28.854)	Prec@5 60.938 (57.712)
Epoch: [47][1890/7045]	Time 0.385 (0.241)	Data 0.334 (0.180)	Loss 3.0443 (3.0826)	Prec@1 31.641 (28.863)	Prec@5 54.688 (57.717)
Epoch: [47][1900/7045]	Time 0.233 (0.241)	Data 0.181 (0.180)	Loss 2.9382 (3.0827)	Prec@1 30.469 (28.864)	Prec@5 59.766 (57.718)
Epoch: [47][1910/7045]	Time 0.308 (0.241)	Data 0.257 (0.180)	Loss 3.0912 (3.0826)	Prec@1 26.172 (28.871)	Prec@5 57.422 (57.721)
Epoch: [47][1920/7045]	Time 0.264 (0.241)	Data 0.213 (0.180)	Loss 3.2630 (3.0825)	Prec@1 26.172 (28.878)	Prec@5 50.391 (57.721)
Epoch: [47][1930/7045]	Time 0.357 (0.240)	Data 0.305 (0.180)	Loss 2.9874 (3.0826)	Prec@1 32.422 (28.879)	Prec@5 61.719 (57.721)
Epoch: [47][1940/7045]	Time 0.219 (0.240)	Data 0.167 (0.180)	Loss 3.1458 (3.0827)	Prec@1 27.734 (28.871)	Prec@5 53.906 (57.718)
Epoch: [47][1950/7045]	Time 0.354 (0.240)	Data 0.305 (0.180)	Loss 3.1358 (3.0829)	Prec@1 27.734 (28.866)	Prec@5 58.594 (57.715)
Epoch: [47][1960/7045]	Time 0.131 (0.240)	Data 0.080 (0.180)	Loss 3.1465 (3.0832)	Prec@1 28.906 (28.859)	Prec@5 55.078 (57.706)
Epoch: [47][1970/7045]	Time 0.300 (0.240)	Data 0.248 (0.180)	Loss 3.1217 (3.0831)	Prec@1 28.125 (28.862)	Prec@5 59.375 (57.712)
Epoch: [47][1980/7045]	Time 0.122 (0.240)	Data 0.064 (0.180)	Loss 3.1539 (3.0831)	Prec@1 25.000 (28.867)	Prec@5 54.297 (57.707)
Epoch: [47][1990/7045]	Time 0.356 (0.240)	Data 0.306 (0.180)	Loss 3.3711 (3.0832)	Prec@1 23.828 (28.865)	Prec@5 52.344 (57.704)
Epoch: [47][2000/7045]	Time 0.114 (0.240)	Data 0.057 (0.180)	Loss 2.9023 (3.0830)	Prec@1 28.516 (28.861)	Prec@5 58.984 (57.709)
Epoch: [47][2010/7045]	Time 0.362 (0.240)	Data 0.308 (0.180)	Loss 2.8613 (3.0828)	Prec@1 32.812 (28.861)	Prec@5 64.062 (57.707)
Epoch: [47][2020/7045]	Time 0.102 (0.240)	Data 0.049 (0.180)	Loss 3.0858 (3.0828)	Prec@1 30.078 (28.863)	Prec@5 57.031 (57.709)
Epoch: [47][2030/7045]	Time 0.307 (0.240)	Data 0.257 (0.180)	Loss 3.0603 (3.0828)	Prec@1 25.781 (28.859)	Prec@5 60.547 (57.707)
Epoch: [47][2040/7045]	Time 0.101 (0.240)	Data 0.050 (0.180)	Loss 3.0818 (3.0830)	Prec@1 29.688 (28.859)	Prec@5 59.375 (57.700)
Epoch: [47][2050/7045]	Time 0.253 (0.240)	Data 0.201 (0.180)	Loss 2.9758 (3.0829)	Prec@1 30.078 (28.857)	Prec@5 61.328 (57.699)
Epoch: [47][2060/7045]	Time 0.102 (0.240)	Data 0.005 (0.180)	Loss 3.0182 (3.0828)	Prec@1 32.812 (28.860)	Prec@5 57.812 (57.702)
Epoch: [47][2070/7045]	Time 0.184 (0.240)	Data 0.133 (0.180)	Loss 3.2305 (3.0830)	Prec@1 28.906 (28.863)	Prec@5 57.031 (57.693)
Epoch: [47][2080/7045]	Time 0.101 (0.240)	Data 0.001 (0.180)	Loss 3.2258 (3.0828)	Prec@1 29.297 (28.869)	Prec@5 55.078 (57.696)
Epoch: [47][2090/7045]	Time 0.149 (0.240)	Data 0.098 (0.180)	Loss 3.1191 (3.0830)	Prec@1 28.906 (28.871)	Prec@5 57.812 (57.692)
Epoch: [47][2100/7045]	Time 0.101 (0.240)	Data 0.008 (0.180)	Loss 3.0596 (3.0828)	Prec@1 26.953 (28.872)	Prec@5 54.688 (57.695)
Epoch: [47][2110/7045]	Time 0.115 (0.240)	Data 0.064 (0.180)	Loss 3.1553 (3.0823)	Prec@1 28.125 (28.882)	Prec@5 56.641 (57.703)
Epoch: [47][2120/7045]	Time 0.102 (0.240)	Data 0.010 (0.180)	Loss 3.0332 (3.0820)	Prec@1 28.125 (28.888)	Prec@5 57.031 (57.712)
Epoch: [47][2130/7045]	Time 0.101 (0.240)	Data 0.047 (0.180)	Loss 2.9598 (3.0821)	Prec@1 32.422 (28.879)	Prec@5 62.109 (57.714)
Epoch: [47][2140/7045]	Time 0.102 (0.240)	Data 0.001 (0.180)	Loss 2.9479 (3.0824)	Prec@1 32.812 (28.875)	Prec@5 59.375 (57.704)
Epoch: [47][2150/7045]	Time 0.152 (0.240)	Data 0.100 (0.180)	Loss 2.8915 (3.0827)	Prec@1 26.172 (28.870)	Prec@5 63.281 (57.698)
Epoch: [47][2160/7045]	Time 0.101 (0.240)	Data 0.003 (0.180)	Loss 3.2200 (3.0827)	Prec@1 27.734 (28.864)	Prec@5 56.641 (57.702)
Epoch: [47][2170/7045]	Time 0.161 (0.240)	Data 0.109 (0.180)	Loss 3.1385 (3.0825)	Prec@1 30.078 (28.870)	Prec@5 53.906 (57.707)
Epoch: [47][2180/7045]	Time 0.139 (0.240)	Data 0.087 (0.180)	Loss 3.2072 (3.0823)	Prec@1 23.047 (28.868)	Prec@5 56.641 (57.709)
Epoch: [47][2190/7045]	Time 0.104 (0.240)	Data 0.052 (0.180)	Loss 2.9479 (3.0823)	Prec@1 31.641 (28.868)	Prec@5 60.938 (57.706)
Epoch: [47][2200/7045]	Time 0.175 (0.240)	Data 0.123 (0.180)	Loss 3.3579 (3.0825)	Prec@1 24.609 (28.866)	Prec@5 50.781 (57.697)
Epoch: [47][2210/7045]	Time 0.106 (0.240)	Data 0.054 (0.180)	Loss 3.2025 (3.0828)	Prec@1 25.781 (28.863)	Prec@5 53.516 (57.689)
Epoch: [47][2220/7045]	Time 0.153 (0.240)	Data 0.102 (0.180)	Loss 2.9833 (3.0831)	Prec@1 32.422 (28.863)	Prec@5 57.812 (57.687)
Epoch: [47][2230/7045]	Time 0.101 (0.240)	Data 0.004 (0.180)	Loss 3.1402 (3.0830)	Prec@1 26.562 (28.865)	Prec@5 57.812 (57.691)
Epoch: [47][2240/7045]	Time 0.246 (0.240)	Data 0.194 (0.180)	Loss 2.8888 (3.0831)	Prec@1 32.422 (28.863)	Prec@5 63.672 (57.692)
Epoch: [47][2250/7045]	Time 0.101 (0.240)	Data 0.045 (0.180)	Loss 3.1462 (3.0828)	Prec@1 29.297 (28.867)	Prec@5 59.766 (57.701)
Epoch: [47][2260/7045]	Time 0.251 (0.240)	Data 0.200 (0.180)	Loss 3.1172 (3.0831)	Prec@1 27.734 (28.865)	Prec@5 58.594 (57.697)
Epoch: [47][2270/7045]	Time 0.102 (0.240)	Data 0.005 (0.180)	Loss 3.0526 (3.0830)	Prec@1 27.344 (28.869)	Prec@5 58.594 (57.698)
Epoch: [47][2280/7045]	Time 0.255 (0.240)	Data 0.203 (0.180)	Loss 2.9450 (3.0831)	Prec@1 28.906 (28.866)	Prec@5 59.375 (57.697)
Epoch: [47][2290/7045]	Time 0.109 (0.240)	Data 0.057 (0.180)	Loss 2.9522 (3.0831)	Prec@1 29.688 (28.866)	Prec@5 61.328 (57.697)
Epoch: [47][2300/7045]	Time 0.303 (0.240)	Data 0.250 (0.180)	Loss 3.4568 (3.0835)	Prec@1 20.312 (28.861)	Prec@5 54.688 (57.688)
Epoch: [47][2310/7045]	Time 0.107 (0.240)	Data 0.048 (0.180)	Loss 3.1468 (3.0839)	Prec@1 27.344 (28.851)	Prec@5 59.766 (57.684)
Epoch: [47][2320/7045]	Time 0.226 (0.240)	Data 0.175 (0.180)	Loss 2.9966 (3.0841)	Prec@1 31.250 (28.850)	Prec@5 58.203 (57.677)
Epoch: [47][2330/7045]	Time 0.104 (0.240)	Data 0.053 (0.180)	Loss 3.1004 (3.0842)	Prec@1 27.344 (28.848)	Prec@5 58.203 (57.675)
Epoch: [47][2340/7045]	Time 0.138 (0.240)	Data 0.086 (0.180)	Loss 3.1913 (3.0843)	Prec@1 24.609 (28.848)	Prec@5 51.172 (57.667)
Epoch: [47][2350/7045]	Time 0.102 (0.240)	Data 0.009 (0.180)	Loss 3.0687 (3.0843)	Prec@1 25.000 (28.844)	Prec@5 61.719 (57.668)
Epoch: [47][2360/7045]	Time 0.230 (0.240)	Data 0.178 (0.180)	Loss 3.0806 (3.0844)	Prec@1 30.469 (28.837)	Prec@5 57.422 (57.670)
Epoch: [47][2370/7045]	Time 0.101 (0.240)	Data 0.002 (0.180)	Loss 3.2887 (3.0842)	Prec@1 29.297 (28.839)	Prec@5 53.125 (57.673)
Epoch: [47][2380/7045]	Time 0.247 (0.240)	Data 0.197 (0.180)	Loss 3.2851 (3.0841)	Prec@1 23.438 (28.842)	Prec@5 56.250 (57.676)
Epoch: [47][2390/7045]	Time 0.101 (0.240)	Data 0.002 (0.180)	Loss 3.0160 (3.0841)	Prec@1 27.344 (28.842)	Prec@5 58.594 (57.677)
Epoch: [47][2400/7045]	Time 0.254 (0.240)	Data 0.203 (0.180)	Loss 3.1451 (3.0842)	Prec@1 26.953 (28.848)	Prec@5 57.422 (57.679)
Epoch: [47][2410/7045]	Time 0.102 (0.240)	Data 0.044 (0.180)	Loss 2.7916 (3.0842)	Prec@1 35.547 (28.849)	Prec@5 65.625 (57.680)
Epoch: [47][2420/7045]	Time 0.265 (0.240)	Data 0.213 (0.180)	Loss 3.0263 (3.0842)	Prec@1 27.734 (28.847)	Prec@5 59.375 (57.679)
Epoch: [47][2430/7045]	Time 0.141 (0.240)	Data 0.090 (0.180)	Loss 3.2302 (3.0843)	Prec@1 27.344 (28.845)	Prec@5 58.594 (57.681)
Epoch: [47][2440/7045]	Time 0.254 (0.240)	Data 0.201 (0.180)	Loss 2.9642 (3.0843)	Prec@1 31.641 (28.846)	Prec@5 58.594 (57.681)
Epoch: [47][2450/7045]	Time 0.208 (0.240)	Data 0.156 (0.180)	Loss 3.1772 (3.0844)	Prec@1 25.781 (28.839)	Prec@5 57.031 (57.678)
Epoch: [47][2460/7045]	Time 0.277 (0.240)	Data 0.226 (0.180)	Loss 2.9634 (3.0843)	Prec@1 33.203 (28.838)	Prec@5 60.547 (57.676)
Epoch: [47][2470/7045]	Time 0.288 (0.240)	Data 0.226 (0.180)	Loss 2.9962 (3.0844)	Prec@1 31.250 (28.836)	Prec@5 58.984 (57.673)
Epoch: [47][2480/7045]	Time 0.200 (0.240)	Data 0.149 (0.180)	Loss 2.8313 (3.0846)	Prec@1 32.031 (28.830)	Prec@5 59.766 (57.667)
Epoch: [47][2490/7045]	Time 0.288 (0.240)	Data 0.235 (0.180)	Loss 3.2953 (3.0847)	Prec@1 25.781 (28.828)	Prec@5 52.734 (57.669)
Epoch: [47][2500/7045]	Time 0.111 (0.240)	Data 0.060 (0.180)	Loss 3.2348 (3.0847)	Prec@1 26.953 (28.830)	Prec@5 56.641 (57.669)
Epoch: [47][2510/7045]	Time 0.274 (0.240)	Data 0.224 (0.180)	Loss 3.0597 (3.0849)	Prec@1 31.250 (28.828)	Prec@5 56.250 (57.662)
Epoch: [47][2520/7045]	Time 0.102 (0.240)	Data 0.001 (0.180)	Loss 3.0174 (3.0848)	Prec@1 28.516 (28.830)	Prec@5 60.938 (57.666)
Epoch: [47][2530/7045]	Time 0.397 (0.240)	Data 0.345 (0.180)	Loss 3.2075 (3.0846)	Prec@1 27.344 (28.833)	Prec@5 50.781 (57.666)
Epoch: [47][2540/7045]	Time 0.102 (0.240)	Data 0.002 (0.180)	Loss 3.1084 (3.0848)	Prec@1 26.953 (28.831)	Prec@5 58.984 (57.663)
Epoch: [47][2550/7045]	Time 0.394 (0.240)	Data 0.343 (0.180)	Loss 3.3385 (3.0847)	Prec@1 29.297 (28.837)	Prec@5 57.031 (57.666)
Epoch: [47][2560/7045]	Time 0.101 (0.240)	Data 0.044 (0.180)	Loss 3.3039 (3.0847)	Prec@1 25.391 (28.838)	Prec@5 57.031 (57.672)
Epoch: [47][2570/7045]	Time 0.371 (0.240)	Data 0.318 (0.180)	Loss 3.1288 (3.0847)	Prec@1 29.297 (28.836)	Prec@5 54.688 (57.670)
Epoch: [47][2580/7045]	Time 0.313 (0.240)	Data 0.262 (0.180)	Loss 3.0441 (3.0846)	Prec@1 30.469 (28.841)	Prec@5 59.766 (57.673)
Epoch: [47][2590/7045]	Time 0.251 (0.240)	Data 0.200 (0.180)	Loss 3.2307 (3.0848)	Prec@1 25.000 (28.833)	Prec@5 55.469 (57.673)
Epoch: [47][2600/7045]	Time 0.285 (0.240)	Data 0.231 (0.180)	Loss 3.0522 (3.0847)	Prec@1 32.812 (28.836)	Prec@5 58.594 (57.674)
Epoch: [47][2610/7045]	Time 0.102 (0.240)	Data 0.009 (0.180)	Loss 2.9215 (3.0847)	Prec@1 33.594 (28.839)	Prec@5 60.156 (57.673)
Epoch: [47][2620/7045]	Time 0.284 (0.240)	Data 0.234 (0.180)	Loss 3.0852 (3.0847)	Prec@1 30.859 (28.841)	Prec@5 59.766 (57.671)
Epoch: [47][2630/7045]	Time 0.181 (0.240)	Data 0.124 (0.180)	Loss 3.0231 (3.0848)	Prec@1 28.125 (28.838)	Prec@5 55.469 (57.668)
Epoch: [47][2640/7045]	Time 0.162 (0.240)	Data 0.111 (0.180)	Loss 3.0085 (3.0850)	Prec@1 31.641 (28.838)	Prec@5 59.375 (57.664)
Epoch: [47][2650/7045]	Time 0.259 (0.240)	Data 0.207 (0.180)	Loss 3.0300 (3.0850)	Prec@1 33.203 (28.837)	Prec@5 58.594 (57.666)
Epoch: [47][2660/7045]	Time 0.100 (0.240)	Data 0.005 (0.180)	Loss 2.8876 (3.0847)	Prec@1 29.688 (28.843)	Prec@5 64.844 (57.672)
Epoch: [47][2670/7045]	Time 0.274 (0.240)	Data 0.223 (0.180)	Loss 3.1736 (3.0848)	Prec@1 26.953 (28.844)	Prec@5 56.250 (57.671)
Epoch: [47][2680/7045]	Time 0.216 (0.240)	Data 0.165 (0.180)	Loss 3.0099 (3.0848)	Prec@1 30.078 (28.843)	Prec@5 60.156 (57.667)
Epoch: [47][2690/7045]	Time 0.255 (0.240)	Data 0.203 (0.180)	Loss 3.0363 (3.0849)	Prec@1 33.984 (28.847)	Prec@5 57.031 (57.669)
Epoch: [47][2700/7045]	Time 0.413 (0.240)	Data 0.362 (0.180)	Loss 3.1587 (3.0849)	Prec@1 29.297 (28.845)	Prec@5 56.641 (57.671)
Epoch: [47][2710/7045]	Time 0.137 (0.240)	Data 0.086 (0.180)	Loss 3.2386 (3.0851)	Prec@1 27.344 (28.842)	Prec@5 54.688 (57.668)
Epoch: [47][2720/7045]	Time 0.326 (0.240)	Data 0.275 (0.180)	Loss 3.1676 (3.0852)	Prec@1 29.297 (28.842)	Prec@5 56.641 (57.664)
Epoch: [47][2730/7045]	Time 0.104 (0.240)	Data 0.052 (0.180)	Loss 3.0410 (3.0851)	Prec@1 25.781 (28.845)	Prec@5 56.641 (57.664)
Epoch: [47][2740/7045]	Time 0.383 (0.240)	Data 0.331 (0.180)	Loss 3.0964 (3.0849)	Prec@1 26.562 (28.847)	Prec@5 54.688 (57.668)
Epoch: [47][2750/7045]	Time 0.295 (0.240)	Data 0.243 (0.180)	Loss 3.2252 (3.0849)	Prec@1 27.344 (28.851)	Prec@5 55.859 (57.667)
Epoch: [47][2760/7045]	Time 0.281 (0.240)	Data 0.230 (0.180)	Loss 3.1635 (3.0850)	Prec@1 29.297 (28.850)	Prec@5 58.203 (57.666)
Epoch: [47][2770/7045]	Time 0.226 (0.240)	Data 0.175 (0.180)	Loss 3.1267 (3.0850)	Prec@1 25.781 (28.847)	Prec@5 57.031 (57.668)
Epoch: [47][2780/7045]	Time 0.103 (0.240)	Data 0.001 (0.180)	Loss 3.0791 (3.0850)	Prec@1 28.125 (28.845)	Prec@5 54.688 (57.671)
Epoch: [47][2790/7045]	Time 0.273 (0.240)	Data 0.221 (0.180)	Loss 3.0226 (3.0850)	Prec@1 27.344 (28.841)	Prec@5 57.422 (57.672)
Epoch: [47][2800/7045]	Time 0.143 (0.240)	Data 0.087 (0.181)	Loss 3.0179 (3.0851)	Prec@1 28.125 (28.838)	Prec@5 60.547 (57.672)
Epoch: [47][2810/7045]	Time 0.175 (0.240)	Data 0.123 (0.180)	Loss 3.2253 (3.0853)	Prec@1 25.000 (28.833)	Prec@5 54.688 (57.668)
Epoch: [47][2820/7045]	Time 0.310 (0.240)	Data 0.258 (0.181)	Loss 2.8857 (3.0852)	Prec@1 32.031 (28.835)	Prec@5 61.328 (57.675)
Epoch: [47][2830/7045]	Time 0.101 (0.240)	Data 0.002 (0.180)	Loss 3.2903 (3.0853)	Prec@1 26.953 (28.835)	Prec@5 54.297 (57.672)
Epoch: [47][2840/7045]	Time 0.335 (0.240)	Data 0.285 (0.181)	Loss 3.0626 (3.0853)	Prec@1 30.469 (28.833)	Prec@5 58.594 (57.673)
Epoch: [47][2850/7045]	Time 0.283 (0.240)	Data 0.232 (0.181)	Loss 3.0379 (3.0854)	Prec@1 32.812 (28.834)	Prec@5 56.641 (57.672)
Epoch: [47][2860/7045]	Time 0.279 (0.240)	Data 0.228 (0.181)	Loss 3.1308 (3.0854)	Prec@1 27.734 (28.834)	Prec@5 55.859 (57.671)
Epoch: [47][2870/7045]	Time 0.295 (0.240)	Data 0.244 (0.181)	Loss 2.9651 (3.0853)	Prec@1 30.469 (28.841)	Prec@5 58.594 (57.671)
Epoch: [47][2880/7045]	Time 0.148 (0.240)	Data 0.097 (0.181)	Loss 3.1540 (3.0854)	Prec@1 27.344 (28.840)	Prec@5 55.078 (57.668)
Epoch: [47][2890/7045]	Time 0.231 (0.240)	Data 0.180 (0.181)	Loss 3.1169 (3.0856)	Prec@1 23.438 (28.838)	Prec@5 56.641 (57.666)
Epoch: [47][2900/7045]	Time 0.101 (0.240)	Data 0.049 (0.181)	Loss 3.2806 (3.0856)	Prec@1 25.391 (28.838)	Prec@5 54.688 (57.661)
Epoch: [47][2910/7045]	Time 0.108 (0.240)	Data 0.003 (0.181)	Loss 2.9849 (3.0859)	Prec@1 29.688 (28.832)	Prec@5 60.156 (57.654)
Epoch: [47][2920/7045]	Time 0.255 (0.240)	Data 0.204 (0.181)	Loss 3.2487 (3.0859)	Prec@1 27.734 (28.831)	Prec@5 53.906 (57.653)
Epoch: [47][2930/7045]	Time 0.229 (0.240)	Data 0.177 (0.181)	Loss 3.0496 (3.0857)	Prec@1 31.250 (28.833)	Prec@5 57.812 (57.656)
Epoch: [47][2940/7045]	Time 0.417 (0.240)	Data 0.366 (0.181)	Loss 3.3838 (3.0857)	Prec@1 24.609 (28.835)	Prec@5 54.297 (57.657)
Epoch: [47][2950/7045]	Time 0.147 (0.240)	Data 0.095 (0.181)	Loss 2.9745 (3.0857)	Prec@1 33.594 (28.834)	Prec@5 60.156 (57.655)
Epoch: [47][2960/7045]	Time 0.420 (0.240)	Data 0.368 (0.181)	Loss 3.0982 (3.0858)	Prec@1 30.859 (28.835)	Prec@5 57.812 (57.654)
Epoch: [47][2970/7045]	Time 0.103 (0.240)	Data 0.001 (0.181)	Loss 3.5168 (3.0861)	Prec@1 21.875 (28.832)	Prec@5 49.609 (57.648)
Epoch: [47][2980/7045]	Time 0.228 (0.240)	Data 0.175 (0.181)	Loss 2.9879 (3.0859)	Prec@1 28.906 (28.835)	Prec@5 57.812 (57.653)
Epoch: [47][2990/7045]	Time 0.110 (0.240)	Data 0.059 (0.181)	Loss 3.3832 (3.0860)	Prec@1 24.219 (28.833)	Prec@5 53.516 (57.650)
Epoch: [47][3000/7045]	Time 0.104 (0.240)	Data 0.053 (0.181)	Loss 3.0045 (3.0863)	Prec@1 30.469 (28.825)	Prec@5 57.422 (57.643)
Epoch: [47][3010/7045]	Time 0.255 (0.240)	Data 0.204 (0.181)	Loss 3.1601 (3.0867)	Prec@1 25.391 (28.819)	Prec@5 55.469 (57.636)
Epoch: [47][3020/7045]	Time 0.103 (0.240)	Data 0.002 (0.181)	Loss 2.9617 (3.0867)	Prec@1 32.812 (28.816)	Prec@5 60.156 (57.637)
Epoch: [47][3030/7045]	Time 0.453 (0.241)	Data 0.402 (0.181)	Loss 3.0749 (3.0866)	Prec@1 29.297 (28.817)	Prec@5 60.938 (57.637)
Epoch: [47][3040/7045]	Time 0.102 (0.240)	Data 0.001 (0.181)	Loss 3.1073 (3.0866)	Prec@1 30.469 (28.816)	Prec@5 53.125 (57.636)
Epoch: [47][3050/7045]	Time 0.471 (0.241)	Data 0.413 (0.181)	Loss 2.9490 (3.0867)	Prec@1 30.859 (28.812)	Prec@5 57.422 (57.633)
Epoch: [47][3060/7045]	Time 0.101 (0.241)	Data 0.001 (0.181)	Loss 3.0308 (3.0866)	Prec@1 25.781 (28.812)	Prec@5 58.594 (57.637)
Epoch: [47][3070/7045]	Time 0.288 (0.241)	Data 0.233 (0.181)	Loss 3.0765 (3.0866)	Prec@1 28.906 (28.806)	Prec@5 59.766 (57.636)
Epoch: [47][3080/7045]	Time 0.102 (0.240)	Data 0.006 (0.181)	Loss 2.9249 (3.0866)	Prec@1 34.375 (28.808)	Prec@5 59.766 (57.639)
Epoch: [47][3090/7045]	Time 0.167 (0.241)	Data 0.117 (0.181)	Loss 3.0821 (3.0866)	Prec@1 27.344 (28.811)	Prec@5 59.766 (57.638)
Epoch: [47][3100/7045]	Time 0.101 (0.241)	Data 0.001 (0.181)	Loss 2.8945 (3.0865)	Prec@1 32.031 (28.811)	Prec@5 61.328 (57.640)
Epoch: [47][3110/7045]	Time 0.107 (0.241)	Data 0.003 (0.181)	Loss 3.1185 (3.0867)	Prec@1 28.906 (28.806)	Prec@5 57.031 (57.635)
Epoch: [47][3120/7045]	Time 0.102 (0.241)	Data 0.009 (0.180)	Loss 2.9678 (3.0867)	Prec@1 32.812 (28.805)	Prec@5 61.719 (57.640)
Epoch: [47][3130/7045]	Time 0.108 (0.241)	Data 0.001 (0.180)	Loss 3.1869 (3.0870)	Prec@1 29.688 (28.802)	Prec@5 56.641 (57.630)
Epoch: [47][3140/7045]	Time 0.336 (0.241)	Data 0.285 (0.180)	Loss 3.1178 (3.0869)	Prec@1 29.688 (28.801)	Prec@5 55.859 (57.630)
Epoch: [47][3150/7045]	Time 0.101 (0.241)	Data 0.002 (0.180)	Loss 3.1167 (3.0871)	Prec@1 25.391 (28.801)	Prec@5 56.641 (57.625)
Epoch: [47][3160/7045]	Time 0.523 (0.241)	Data 0.472 (0.180)	Loss 3.1547 (3.0872)	Prec@1 27.734 (28.798)	Prec@5 59.375 (57.626)
Epoch: [47][3170/7045]	Time 0.102 (0.241)	Data 0.050 (0.180)	Loss 2.9627 (3.0873)	Prec@1 32.812 (28.799)	Prec@5 59.375 (57.624)
Epoch: [47][3180/7045]	Time 0.687 (0.241)	Data 0.636 (0.180)	Loss 3.5751 (3.0875)	Prec@1 20.312 (28.798)	Prec@5 49.219 (57.621)
Epoch: [47][3190/7045]	Time 0.102 (0.241)	Data 0.001 (0.180)	Loss 2.9302 (3.0874)	Prec@1 28.906 (28.800)	Prec@5 57.031 (57.621)
Epoch: [47][3200/7045]	Time 0.642 (0.241)	Data 0.584 (0.180)	Loss 2.9920 (3.0872)	Prec@1 30.859 (28.803)	Prec@5 62.891 (57.627)
Epoch: [47][3210/7045]	Time 0.102 (0.241)	Data 0.001 (0.180)	Loss 2.8614 (3.0873)	Prec@1 34.375 (28.804)	Prec@5 62.500 (57.626)
Epoch: [47][3220/7045]	Time 0.448 (0.241)	Data 0.392 (0.180)	Loss 3.1223 (3.0874)	Prec@1 28.125 (28.801)	Prec@5 56.641 (57.621)
Epoch: [47][3230/7045]	Time 0.102 (0.241)	Data 0.001 (0.180)	Loss 3.1724 (3.0873)	Prec@1 27.344 (28.805)	Prec@5 57.031 (57.624)
Epoch: [47][3240/7045]	Time 0.196 (0.241)	Data 0.140 (0.180)	Loss 3.2183 (3.0873)	Prec@1 24.219 (28.806)	Prec@5 55.859 (57.627)
Epoch: [47][3250/7045]	Time 0.101 (0.241)	Data 0.004 (0.180)	Loss 3.1071 (3.0873)	Prec@1 28.906 (28.805)	Prec@5 58.594 (57.626)
Epoch: [47][3260/7045]	Time 0.158 (0.241)	Data 0.107 (0.180)	Loss 2.9698 (3.0874)	Prec@1 25.781 (28.805)	Prec@5 62.891 (57.626)
Epoch: [47][3270/7045]	Time 0.102 (0.241)	Data 0.001 (0.180)	Loss 2.9669 (3.0875)	Prec@1 28.125 (28.801)	Prec@5 57.422 (57.624)
Epoch: [47][3280/7045]	Time 0.106 (0.241)	Data 0.053 (0.180)	Loss 3.2713 (3.0877)	Prec@1 27.344 (28.802)	Prec@5 51.562 (57.622)
Epoch: [47][3290/7045]	Time 0.239 (0.241)	Data 0.189 (0.180)	Loss 2.9428 (3.0877)	Prec@1 32.031 (28.804)	Prec@5 62.109 (57.620)
Epoch: [47][3300/7045]	Time 0.102 (0.241)	Data 0.007 (0.180)	Loss 3.0786 (3.0878)	Prec@1 28.516 (28.803)	Prec@5 58.984 (57.619)
Epoch: [47][3310/7045]	Time 0.462 (0.241)	Data 0.410 (0.180)	Loss 3.2161 (3.0878)	Prec@1 27.344 (28.805)	Prec@5 58.594 (57.617)
Epoch: [47][3320/7045]	Time 0.103 (0.241)	Data 0.003 (0.180)	Loss 3.2043 (3.0878)	Prec@1 26.172 (28.803)	Prec@5 56.641 (57.615)
Epoch: [47][3330/7045]	Time 0.698 (0.241)	Data 0.647 (0.180)	Loss 2.9132 (3.0879)	Prec@1 31.641 (28.801)	Prec@5 60.156 (57.613)
Epoch: [47][3340/7045]	Time 0.102 (0.241)	Data 0.001 (0.180)	Loss 3.0210 (3.0880)	Prec@1 29.297 (28.800)	Prec@5 60.547 (57.611)
Epoch: [47][3350/7045]	Time 0.659 (0.241)	Data 0.607 (0.180)	Loss 2.9327 (3.0879)	Prec@1 33.984 (28.801)	Prec@5 60.547 (57.613)
Epoch: [47][3360/7045]	Time 0.102 (0.241)	Data 0.001 (0.180)	Loss 3.2220 (3.0880)	Prec@1 32.422 (28.802)	Prec@5 55.078 (57.610)
Epoch: [47][3370/7045]	Time 0.546 (0.241)	Data 0.495 (0.180)	Loss 3.0474 (3.0880)	Prec@1 28.125 (28.800)	Prec@5 58.594 (57.607)
Epoch: [47][3380/7045]	Time 0.104 (0.241)	Data 0.001 (0.179)	Loss 3.2370 (3.0880)	Prec@1 27.344 (28.802)	Prec@5 51.562 (57.607)
Epoch: [47][3390/7045]	Time 0.309 (0.241)	Data 0.258 (0.180)	Loss 3.2025 (3.0881)	Prec@1 28.516 (28.804)	Prec@5 55.078 (57.607)
Epoch: [47][3400/7045]	Time 0.102 (0.241)	Data 0.001 (0.179)	Loss 3.2086 (3.0881)	Prec@1 28.516 (28.803)	Prec@5 55.469 (57.606)
Epoch: [47][3410/7045]	Time 0.152 (0.241)	Data 0.101 (0.179)	Loss 3.0098 (3.0881)	Prec@1 32.031 (28.806)	Prec@5 60.547 (57.608)
Epoch: [47][3420/7045]	Time 0.102 (0.241)	Data 0.001 (0.179)	Loss 3.2512 (3.0882)	Prec@1 21.484 (28.803)	Prec@5 53.906 (57.605)
Epoch: [47][3430/7045]	Time 0.110 (0.241)	Data 0.001 (0.179)	Loss 3.1106 (3.0881)	Prec@1 26.172 (28.804)	Prec@5 54.688 (57.606)
Epoch: [47][3440/7045]	Time 0.149 (0.241)	Data 0.098 (0.179)	Loss 3.1477 (3.0882)	Prec@1 28.906 (28.806)	Prec@5 56.641 (57.606)
Epoch: [47][3450/7045]	Time 0.101 (0.241)	Data 0.008 (0.179)	Loss 2.9252 (3.0884)	Prec@1 30.469 (28.804)	Prec@5 60.156 (57.599)
Epoch: [47][3460/7045]	Time 0.329 (0.241)	Data 0.274 (0.179)	Loss 3.2534 (3.0884)	Prec@1 24.609 (28.805)	Prec@5 53.906 (57.603)
Epoch: [47][3470/7045]	Time 0.101 (0.241)	Data 0.002 (0.179)	Loss 2.9822 (3.0884)	Prec@1 29.688 (28.802)	Prec@5 59.766 (57.603)
Epoch: [47][3480/7045]	Time 0.644 (0.241)	Data 0.587 (0.179)	Loss 3.0254 (3.0884)	Prec@1 33.203 (28.805)	Prec@5 58.984 (57.605)
Epoch: [47][3490/7045]	Time 0.100 (0.241)	Data 0.001 (0.179)	Loss 3.0910 (3.0884)	Prec@1 30.078 (28.807)	Prec@5 58.984 (57.606)
Epoch: [47][3500/7045]	Time 0.566 (0.241)	Data 0.515 (0.179)	Loss 2.8514 (3.0884)	Prec@1 30.469 (28.804)	Prec@5 64.453 (57.607)
Epoch: [47][3510/7045]	Time 0.122 (0.241)	Data 0.072 (0.179)	Loss 3.0748 (3.0885)	Prec@1 34.375 (28.806)	Prec@5 55.859 (57.603)
Epoch: [47][3520/7045]	Time 0.444 (0.241)	Data 0.391 (0.179)	Loss 2.9444 (3.0886)	Prec@1 35.156 (28.807)	Prec@5 59.375 (57.602)
Epoch: [47][3530/7045]	Time 0.102 (0.241)	Data 0.051 (0.179)	Loss 3.1360 (3.0887)	Prec@1 28.906 (28.803)	Prec@5 59.766 (57.600)
Epoch: [47][3540/7045]	Time 0.192 (0.241)	Data 0.141 (0.179)	Loss 3.3293 (3.0886)	Prec@1 25.000 (28.805)	Prec@5 54.688 (57.601)
Epoch: [47][3550/7045]	Time 0.103 (0.241)	Data 0.051 (0.179)	Loss 3.3086 (3.0887)	Prec@1 26.953 (28.804)	Prec@5 56.641 (57.602)
Epoch: [47][3560/7045]	Time 0.107 (0.241)	Data 0.047 (0.179)	Loss 3.1672 (3.0890)	Prec@1 26.953 (28.802)	Prec@5 55.469 (57.597)
Epoch: [47][3570/7045]	Time 0.102 (0.241)	Data 0.001 (0.179)	Loss 2.9162 (3.0889)	Prec@1 32.422 (28.802)	Prec@5 57.031 (57.595)
Epoch: [47][3580/7045]	Time 0.117 (0.241)	Data 0.060 (0.179)	Loss 3.1936 (3.0889)	Prec@1 22.656 (28.799)	Prec@5 53.125 (57.593)
Epoch: [47][3590/7045]	Time 0.103 (0.241)	Data 0.052 (0.179)	Loss 2.9438 (3.0891)	Prec@1 28.516 (28.798)	Prec@5 60.938 (57.591)
Epoch: [47][3600/7045]	Time 0.101 (0.241)	Data 0.050 (0.179)	Loss 3.2267 (3.0891)	Prec@1 26.562 (28.797)	Prec@5 55.859 (57.594)
Epoch: [47][3610/7045]	Time 0.263 (0.241)	Data 0.212 (0.179)	Loss 3.0006 (3.0891)	Prec@1 26.562 (28.796)	Prec@5 55.078 (57.594)
Epoch: [47][3620/7045]	Time 0.121 (0.241)	Data 0.070 (0.179)	Loss 3.1761 (3.0890)	Prec@1 25.781 (28.793)	Prec@5 58.594 (57.598)
Epoch: [47][3630/7045]	Time 0.442 (0.241)	Data 0.391 (0.179)	Loss 3.0319 (3.0891)	Prec@1 30.078 (28.792)	Prec@5 57.031 (57.599)
Epoch: [47][3640/7045]	Time 0.101 (0.241)	Data 0.047 (0.179)	Loss 3.1260 (3.0891)	Prec@1 32.031 (28.792)	Prec@5 56.250 (57.598)
Epoch: [47][3650/7045]	Time 0.659 (0.241)	Data 0.608 (0.179)	Loss 3.0309 (3.0892)	Prec@1 29.688 (28.793)	Prec@5 58.203 (57.598)
Epoch: [47][3660/7045]	Time 0.116 (0.241)	Data 0.058 (0.179)	Loss 3.3001 (3.0892)	Prec@1 26.172 (28.792)	Prec@5 53.125 (57.599)
Epoch: [47][3670/7045]	Time 0.571 (0.241)	Data 0.520 (0.179)	Loss 2.9414 (3.0892)	Prec@1 30.469 (28.791)	Prec@5 57.422 (57.598)
Epoch: [47][3680/7045]	Time 0.146 (0.241)	Data 0.096 (0.179)	Loss 3.0522 (3.0891)	Prec@1 30.469 (28.789)	Prec@5 57.031 (57.599)
Epoch: [47][3690/7045]	Time 0.307 (0.241)	Data 0.254 (0.179)	Loss 3.2112 (3.0891)	Prec@1 29.297 (28.789)	Prec@5 57.422 (57.599)
Epoch: [47][3700/7045]	Time 0.285 (0.241)	Data 0.234 (0.179)	Loss 3.1972 (3.0892)	Prec@1 26.953 (28.787)	Prec@5 52.734 (57.598)
Epoch: [47][3710/7045]	Time 0.106 (0.241)	Data 0.046 (0.179)	Loss 3.1937 (3.0893)	Prec@1 30.078 (28.787)	Prec@5 51.953 (57.595)
Epoch: [47][3720/7045]	Time 0.328 (0.241)	Data 0.277 (0.179)	Loss 3.1019 (3.0894)	Prec@1 27.734 (28.785)	Prec@5 57.812 (57.592)
Epoch: [47][3730/7045]	Time 0.101 (0.241)	Data 0.045 (0.179)	Loss 3.1010 (3.0894)	Prec@1 29.688 (28.785)	Prec@5 55.859 (57.593)
Epoch: [47][3740/7045]	Time 0.109 (0.241)	Data 0.043 (0.179)	Loss 3.1127 (3.0895)	Prec@1 27.734 (28.785)	Prec@5 58.594 (57.589)
Epoch: [47][3750/7045]	Time 0.102 (0.241)	Data 0.001 (0.179)	Loss 3.2285 (3.0897)	Prec@1 32.031 (28.785)	Prec@5 55.078 (57.586)
Epoch: [47][3760/7045]	Time 0.111 (0.241)	Data 0.001 (0.179)	Loss 3.0679 (3.0898)	Prec@1 32.422 (28.787)	Prec@5 58.203 (57.584)
Epoch: [47][3770/7045]	Time 0.147 (0.241)	Data 0.095 (0.179)	Loss 2.9395 (3.0900)	Prec@1 30.469 (28.782)	Prec@5 57.031 (57.581)
Epoch: [47][3780/7045]	Time 0.102 (0.241)	Data 0.009 (0.179)	Loss 3.1446 (3.0900)	Prec@1 28.906 (28.781)	Prec@5 56.641 (57.577)
Epoch: [47][3790/7045]	Time 0.766 (0.241)	Data 0.714 (0.179)	Loss 3.0582 (3.0899)	Prec@1 30.469 (28.781)	Prec@5 57.422 (57.583)
Epoch: [47][3800/7045]	Time 0.118 (0.241)	Data 0.059 (0.179)	Loss 3.1021 (3.0898)	Prec@1 28.125 (28.783)	Prec@5 58.594 (57.586)
Epoch: [47][3810/7045]	Time 0.604 (0.241)	Data 0.553 (0.179)	Loss 2.9657 (3.0896)	Prec@1 26.953 (28.785)	Prec@5 60.156 (57.589)
Epoch: [47][3820/7045]	Time 0.201 (0.241)	Data 0.151 (0.179)	Loss 3.0214 (3.0896)	Prec@1 32.812 (28.783)	Prec@5 57.031 (57.587)
Epoch: [47][3830/7045]	Time 0.427 (0.241)	Data 0.369 (0.179)	Loss 3.0724 (3.0897)	Prec@1 31.250 (28.781)	Prec@5 57.031 (57.588)
Epoch: [47][3840/7045]	Time 0.295 (0.241)	Data 0.244 (0.179)	Loss 2.8834 (3.0897)	Prec@1 31.250 (28.779)	Prec@5 60.547 (57.590)
Epoch: [47][3850/7045]	Time 0.422 (0.241)	Data 0.362 (0.179)	Loss 3.0528 (3.0897)	Prec@1 32.031 (28.780)	Prec@5 58.203 (57.587)
Epoch: [47][3860/7045]	Time 0.316 (0.241)	Data 0.264 (0.179)	Loss 3.1805 (3.0898)	Prec@1 28.125 (28.776)	Prec@5 57.422 (57.587)
Epoch: [47][3870/7045]	Time 0.133 (0.241)	Data 0.080 (0.179)	Loss 3.0035 (3.0898)	Prec@1 28.125 (28.775)	Prec@5 57.812 (57.587)
Epoch: [47][3880/7045]	Time 0.428 (0.241)	Data 0.378 (0.179)	Loss 2.9918 (3.0899)	Prec@1 30.469 (28.774)	Prec@5 57.422 (57.586)
Epoch: [47][3890/7045]	Time 0.102 (0.241)	Data 0.005 (0.179)	Loss 3.0721 (3.0898)	Prec@1 30.469 (28.776)	Prec@5 57.422 (57.588)
Epoch: [47][3900/7045]	Time 0.343 (0.241)	Data 0.293 (0.179)	Loss 3.2726 (3.0899)	Prec@1 25.781 (28.774)	Prec@5 57.422 (57.589)
Epoch: [47][3910/7045]	Time 0.101 (0.241)	Data 0.005 (0.179)	Loss 3.0475 (3.0899)	Prec@1 30.469 (28.777)	Prec@5 62.109 (57.591)
Epoch: [47][3920/7045]	Time 0.306 (0.241)	Data 0.255 (0.179)	Loss 3.0347 (3.0900)	Prec@1 30.078 (28.775)	Prec@5 57.812 (57.588)
Epoch: [47][3930/7045]	Time 0.112 (0.241)	Data 0.061 (0.179)	Loss 3.2217 (3.0899)	Prec@1 25.391 (28.776)	Prec@5 53.906 (57.589)
Epoch: [47][3940/7045]	Time 0.102 (0.241)	Data 0.003 (0.179)	Loss 3.1489 (3.0898)	Prec@1 26.172 (28.777)	Prec@5 57.812 (57.591)
Epoch: [47][3950/7045]	Time 0.102 (0.241)	Data 0.006 (0.179)	Loss 3.1460 (3.0898)	Prec@1 27.344 (28.779)	Prec@5 57.812 (57.592)
Epoch: [47][3960/7045]	Time 0.099 (0.241)	Data 0.045 (0.179)	Loss 3.1007 (3.0898)	Prec@1 28.125 (28.777)	Prec@5 56.641 (57.592)
Epoch: [47][3970/7045]	Time 0.598 (0.241)	Data 0.542 (0.179)	Loss 3.0275 (3.0898)	Prec@1 32.031 (28.778)	Prec@5 58.203 (57.593)
Epoch: [47][3980/7045]	Time 0.289 (0.241)	Data 0.238 (0.179)	Loss 3.2778 (3.0897)	Prec@1 25.391 (28.779)	Prec@5 55.078 (57.598)
Epoch: [47][3990/7045]	Time 0.241 (0.241)	Data 0.189 (0.179)	Loss 3.1771 (3.0897)	Prec@1 28.906 (28.781)	Prec@5 54.297 (57.598)
Epoch: [47][4000/7045]	Time 0.183 (0.241)	Data 0.132 (0.179)	Loss 3.1396 (3.0896)	Prec@1 25.781 (28.784)	Prec@5 53.906 (57.598)
Epoch: [47][4010/7045]	Time 0.101 (0.241)	Data 0.006 (0.179)	Loss 2.9817 (3.0896)	Prec@1 32.812 (28.782)	Prec@5 58.984 (57.598)
Epoch: [47][4020/7045]	Time 0.101 (0.241)	Data 0.048 (0.179)	Loss 3.0744 (3.0895)	Prec@1 29.688 (28.784)	Prec@5 57.031 (57.601)
Epoch: [47][4030/7045]	Time 0.103 (0.241)	Data 0.005 (0.179)	Loss 3.1872 (3.0895)	Prec@1 25.000 (28.786)	Prec@5 55.859 (57.600)
Epoch: [47][4040/7045]	Time 0.205 (0.241)	Data 0.155 (0.179)	Loss 3.1564 (3.0896)	Prec@1 24.609 (28.784)	Prec@5 56.250 (57.598)
Epoch: [47][4050/7045]	Time 0.142 (0.241)	Data 0.091 (0.179)	Loss 3.1134 (3.0895)	Prec@1 29.297 (28.786)	Prec@5 51.953 (57.598)
Epoch: [47][4060/7045]	Time 0.498 (0.241)	Data 0.438 (0.179)	Loss 3.2572 (3.0896)	Prec@1 21.484 (28.784)	Prec@5 52.734 (57.599)
Epoch: [47][4070/7045]	Time 0.101 (0.241)	Data 0.001 (0.179)	Loss 2.9979 (3.0896)	Prec@1 30.469 (28.784)	Prec@5 62.891 (57.599)
Epoch: [47][4080/7045]	Time 0.428 (0.241)	Data 0.377 (0.179)	Loss 3.1541 (3.0897)	Prec@1 30.078 (28.783)	Prec@5 55.469 (57.595)
Epoch: [47][4090/7045]	Time 0.108 (0.241)	Data 0.056 (0.179)	Loss 3.2538 (3.0897)	Prec@1 26.562 (28.784)	Prec@5 56.250 (57.595)
Epoch: [47][4100/7045]	Time 0.287 (0.242)	Data 0.237 (0.179)	Loss 3.0784 (3.0896)	Prec@1 28.906 (28.787)	Prec@5 57.422 (57.595)
Epoch: [47][4110/7045]	Time 0.146 (0.241)	Data 0.094 (0.179)	Loss 2.9715 (3.0896)	Prec@1 28.125 (28.784)	Prec@5 58.203 (57.595)
Epoch: [47][4120/7045]	Time 0.102 (0.242)	Data 0.008 (0.179)	Loss 2.9874 (3.0897)	Prec@1 34.375 (28.787)	Prec@5 61.328 (57.593)
Epoch: [47][4130/7045]	Time 0.410 (0.242)	Data 0.359 (0.179)	Loss 3.1966 (3.0898)	Prec@1 29.297 (28.781)	Prec@5 55.078 (57.591)
Epoch: [47][4140/7045]	Time 0.151 (0.242)	Data 0.100 (0.179)	Loss 3.0817 (3.0898)	Prec@1 22.656 (28.782)	Prec@5 55.859 (57.590)
Epoch: [47][4150/7045]	Time 0.571 (0.242)	Data 0.519 (0.179)	Loss 3.1397 (3.0898)	Prec@1 27.734 (28.781)	Prec@5 56.641 (57.593)
Epoch: [47][4160/7045]	Time 0.102 (0.242)	Data 0.001 (0.179)	Loss 3.1044 (3.0897)	Prec@1 26.953 (28.784)	Prec@5 56.250 (57.594)
Epoch: [47][4170/7045]	Time 0.562 (0.242)	Data 0.511 (0.179)	Loss 3.0869 (3.0897)	Prec@1 27.734 (28.785)	Prec@5 56.641 (57.594)
Epoch: [47][4180/7045]	Time 0.175 (0.242)	Data 0.124 (0.179)	Loss 3.1052 (3.0897)	Prec@1 25.781 (28.784)	Prec@5 59.375 (57.594)
Epoch: [47][4190/7045]	Time 0.521 (0.242)	Data 0.469 (0.179)	Loss 3.1163 (3.0898)	Prec@1 28.516 (28.784)	Prec@5 55.469 (57.593)
Epoch: [47][4200/7045]	Time 0.220 (0.242)	Data 0.169 (0.179)	Loss 3.1383 (3.0898)	Prec@1 30.469 (28.785)	Prec@5 57.422 (57.592)
Epoch: [47][4210/7045]	Time 0.226 (0.242)	Data 0.176 (0.179)	Loss 3.0048 (3.0898)	Prec@1 32.422 (28.783)	Prec@5 59.375 (57.591)
Epoch: [47][4220/7045]	Time 0.266 (0.242)	Data 0.214 (0.179)	Loss 2.8857 (3.0897)	Prec@1 29.297 (28.784)	Prec@5 60.938 (57.597)
Epoch: [47][4230/7045]	Time 0.119 (0.242)	Data 0.068 (0.179)	Loss 3.2175 (3.0897)	Prec@1 25.781 (28.784)	Prec@5 53.125 (57.596)
Epoch: [47][4240/7045]	Time 0.143 (0.242)	Data 0.091 (0.179)	Loss 3.2007 (3.0899)	Prec@1 28.125 (28.783)	Prec@5 53.906 (57.594)
Epoch: [47][4250/7045]	Time 0.102 (0.242)	Data 0.002 (0.179)	Loss 2.8846 (3.0899)	Prec@1 33.594 (28.784)	Prec@5 61.719 (57.595)
Epoch: [47][4260/7045]	Time 0.105 (0.242)	Data 0.053 (0.179)	Loss 3.2336 (3.0899)	Prec@1 26.172 (28.784)	Prec@5 53.906 (57.595)
Epoch: [47][4270/7045]	Time 0.102 (0.242)	Data 0.005 (0.179)	Loss 3.0812 (3.0900)	Prec@1 32.031 (28.786)	Prec@5 61.328 (57.593)
Epoch: [47][4280/7045]	Time 0.275 (0.242)	Data 0.223 (0.179)	Loss 3.0444 (3.0898)	Prec@1 30.078 (28.787)	Prec@5 62.500 (57.597)
Epoch: [47][4290/7045]	Time 0.102 (0.242)	Data 0.001 (0.179)	Loss 2.9574 (3.0900)	Prec@1 31.641 (28.785)	Prec@5 61.328 (57.597)
Epoch: [47][4300/7045]	Time 0.371 (0.242)	Data 0.320 (0.179)	Loss 3.2133 (3.0901)	Prec@1 25.391 (28.782)	Prec@5 55.078 (57.595)
Epoch: [47][4310/7045]	Time 0.183 (0.242)	Data 0.131 (0.179)	Loss 3.1167 (3.0903)	Prec@1 29.688 (28.778)	Prec@5 57.812 (57.590)
Epoch: [47][4320/7045]	Time 0.282 (0.242)	Data 0.230 (0.179)	Loss 3.1009 (3.0904)	Prec@1 30.078 (28.779)	Prec@5 54.297 (57.587)
Epoch: [47][4330/7045]	Time 0.558 (0.242)	Data 0.506 (0.179)	Loss 3.1421 (3.0904)	Prec@1 26.172 (28.780)	Prec@5 62.109 (57.589)
Epoch: [47][4340/7045]	Time 0.102 (0.242)	Data 0.003 (0.179)	Loss 3.0510 (3.0905)	Prec@1 29.688 (28.781)	Prec@5 59.766 (57.588)
Epoch: [47][4350/7045]	Time 0.149 (0.242)	Data 0.097 (0.179)	Loss 2.9679 (3.0905)	Prec@1 33.594 (28.781)	Prec@5 58.984 (57.587)
Epoch: [47][4360/7045]	Time 0.102 (0.242)	Data 0.003 (0.179)	Loss 3.2247 (3.0905)	Prec@1 19.922 (28.777)	Prec@5 58.203 (57.587)
Epoch: [47][4370/7045]	Time 0.209 (0.242)	Data 0.157 (0.179)	Loss 3.1417 (3.0905)	Prec@1 29.688 (28.777)	Prec@5 58.203 (57.590)
Epoch: [47][4380/7045]	Time 0.410 (0.242)	Data 0.358 (0.179)	Loss 3.1609 (3.0904)	Prec@1 26.172 (28.773)	Prec@5 55.078 (57.591)
Epoch: [47][4390/7045]	Time 0.103 (0.242)	Data 0.050 (0.179)	Loss 2.9355 (3.0904)	Prec@1 30.859 (28.773)	Prec@5 63.672 (57.593)
Epoch: [47][4400/7045]	Time 0.556 (0.242)	Data 0.503 (0.179)	Loss 2.9940 (3.0902)	Prec@1 26.953 (28.775)	Prec@5 61.328 (57.596)
Epoch: [47][4410/7045]	Time 0.193 (0.242)	Data 0.141 (0.179)	Loss 3.1258 (3.0904)	Prec@1 29.688 (28.776)	Prec@5 59.375 (57.595)
Epoch: [47][4420/7045]	Time 0.329 (0.242)	Data 0.279 (0.179)	Loss 3.0610 (3.0904)	Prec@1 30.078 (28.775)	Prec@5 58.203 (57.596)
Epoch: [47][4430/7045]	Time 0.468 (0.242)	Data 0.416 (0.179)	Loss 3.0189 (3.0905)	Prec@1 25.391 (28.774)	Prec@5 59.375 (57.597)
Epoch: [47][4440/7045]	Time 0.116 (0.242)	Data 0.064 (0.179)	Loss 3.0039 (3.0906)	Prec@1 32.422 (28.773)	Prec@5 62.500 (57.597)
Epoch: [47][4450/7045]	Time 0.698 (0.242)	Data 0.646 (0.179)	Loss 3.1045 (3.0906)	Prec@1 28.906 (28.774)	Prec@5 58.594 (57.598)
Epoch: [47][4460/7045]	Time 0.103 (0.242)	Data 0.048 (0.179)	Loss 2.8768 (3.0905)	Prec@1 33.203 (28.778)	Prec@5 63.672 (57.600)
Epoch: [47][4470/7045]	Time 0.628 (0.242)	Data 0.578 (0.179)	Loss 3.2975 (3.0906)	Prec@1 22.266 (28.775)	Prec@5 53.125 (57.596)
Epoch: [47][4480/7045]	Time 0.102 (0.242)	Data 0.001 (0.179)	Loss 3.2271 (3.0905)	Prec@1 25.781 (28.774)	Prec@5 55.469 (57.596)
Epoch: [47][4490/7045]	Time 0.422 (0.242)	Data 0.372 (0.179)	Loss 3.2029 (3.0904)	Prec@1 26.172 (28.775)	Prec@5 56.250 (57.601)
Epoch: [47][4500/7045]	Time 0.102 (0.242)	Data 0.001 (0.179)	Loss 3.1316 (3.0902)	Prec@1 32.031 (28.781)	Prec@5 58.203 (57.606)
Epoch: [47][4510/7045]	Time 0.136 (0.242)	Data 0.078 (0.179)	Loss 3.0734 (3.0901)	Prec@1 26.953 (28.782)	Prec@5 55.859 (57.607)
Epoch: [47][4520/7045]	Time 0.102 (0.242)	Data 0.001 (0.179)	Loss 3.1744 (3.0901)	Prec@1 25.781 (28.784)	Prec@5 54.688 (57.608)
Epoch: [47][4530/7045]	Time 0.107 (0.242)	Data 0.046 (0.179)	Loss 3.3466 (3.0902)	Prec@1 25.000 (28.782)	Prec@5 50.391 (57.601)
Epoch: [47][4540/7045]	Time 0.103 (0.242)	Data 0.001 (0.179)	Loss 2.9949 (3.0902)	Prec@1 28.516 (28.782)	Prec@5 58.594 (57.601)
Epoch: [47][4550/7045]	Time 0.270 (0.242)	Data 0.218 (0.179)	Loss 3.1634 (3.0901)	Prec@1 24.609 (28.783)	Prec@5 54.297 (57.604)
Epoch: [47][4560/7045]	Time 0.104 (0.242)	Data 0.044 (0.179)	Loss 3.0599 (3.0902)	Prec@1 28.906 (28.779)	Prec@5 58.594 (57.605)
Epoch: [47][4570/7045]	Time 0.244 (0.242)	Data 0.193 (0.179)	Loss 3.1859 (3.0903)	Prec@1 28.125 (28.780)	Prec@5 58.203 (57.606)
Epoch: [47][4580/7045]	Time 0.102 (0.242)	Data 0.050 (0.179)	Loss 3.0236 (3.0903)	Prec@1 30.469 (28.781)	Prec@5 55.859 (57.606)
Epoch: [47][4590/7045]	Time 0.245 (0.242)	Data 0.194 (0.179)	Loss 2.9138 (3.0903)	Prec@1 29.297 (28.779)	Prec@5 60.938 (57.605)
Epoch: [47][4600/7045]	Time 0.102 (0.242)	Data 0.050 (0.179)	Loss 2.9985 (3.0903)	Prec@1 26.953 (28.780)	Prec@5 60.156 (57.606)
Epoch: [47][4610/7045]	Time 0.222 (0.242)	Data 0.170 (0.179)	Loss 3.2006 (3.0903)	Prec@1 26.562 (28.782)	Prec@5 56.250 (57.608)
Epoch: [47][4620/7045]	Time 0.102 (0.242)	Data 0.004 (0.179)	Loss 3.2763 (3.0905)	Prec@1 24.219 (28.779)	Prec@5 54.297 (57.604)
Epoch: [47][4630/7045]	Time 0.209 (0.242)	Data 0.158 (0.179)	Loss 3.0448 (3.0906)	Prec@1 31.641 (28.781)	Prec@5 58.984 (57.603)
Epoch: [47][4640/7045]	Time 0.149 (0.242)	Data 0.097 (0.179)	Loss 3.3107 (3.0908)	Prec@1 24.219 (28.779)	Prec@5 51.953 (57.598)
Epoch: [47][4650/7045]	Time 0.190 (0.242)	Data 0.136 (0.179)	Loss 3.1873 (3.0908)	Prec@1 28.906 (28.777)	Prec@5 55.469 (57.598)
Epoch: [47][4660/7045]	Time 0.245 (0.242)	Data 0.193 (0.179)	Loss 3.2740 (3.0908)	Prec@1 28.125 (28.777)	Prec@5 57.422 (57.597)
Epoch: [47][4670/7045]	Time 0.340 (0.242)	Data 0.288 (0.179)	Loss 3.1428 (3.0908)	Prec@1 29.688 (28.778)	Prec@5 56.641 (57.599)
Epoch: [47][4680/7045]	Time 0.319 (0.242)	Data 0.267 (0.179)	Loss 3.0111 (3.0906)	Prec@1 28.516 (28.778)	Prec@5 58.203 (57.604)
Epoch: [47][4690/7045]	Time 0.337 (0.242)	Data 0.285 (0.179)	Loss 2.9587 (3.0906)	Prec@1 28.906 (28.776)	Prec@5 64.844 (57.605)
Epoch: [47][4700/7045]	Time 0.198 (0.242)	Data 0.148 (0.179)	Loss 2.9681 (3.0904)	Prec@1 31.641 (28.779)	Prec@5 61.328 (57.610)
Epoch: [47][4710/7045]	Time 0.541 (0.242)	Data 0.490 (0.179)	Loss 3.0307 (3.0905)	Prec@1 33.203 (28.780)	Prec@5 62.500 (57.606)
Epoch: [47][4720/7045]	Time 0.102 (0.242)	Data 0.009 (0.179)	Loss 3.0781 (3.0905)	Prec@1 26.953 (28.778)	Prec@5 57.031 (57.608)
Epoch: [47][4730/7045]	Time 0.649 (0.242)	Data 0.597 (0.179)	Loss 3.1615 (3.0906)	Prec@1 26.953 (28.776)	Prec@5 57.422 (57.604)
Epoch: [47][4740/7045]	Time 0.111 (0.242)	Data 0.060 (0.179)	Loss 3.0336 (3.0905)	Prec@1 29.688 (28.778)	Prec@5 59.766 (57.606)
Epoch: [47][4750/7045]	Time 0.617 (0.242)	Data 0.558 (0.179)	Loss 3.1192 (3.0905)	Prec@1 24.219 (28.778)	Prec@5 57.812 (57.606)
Epoch: [47][4760/7045]	Time 0.102 (0.242)	Data 0.001 (0.179)	Loss 3.0671 (3.0906)	Prec@1 26.172 (28.775)	Prec@5 61.328 (57.605)
Epoch: [47][4770/7045]	Time 0.406 (0.242)	Data 0.354 (0.179)	Loss 2.9928 (3.0907)	Prec@1 27.734 (28.772)	Prec@5 62.891 (57.604)
Epoch: [47][4780/7045]	Time 0.284 (0.242)	Data 0.234 (0.179)	Loss 3.2356 (3.0908)	Prec@1 26.953 (28.772)	Prec@5 53.516 (57.599)
Epoch: [47][4790/7045]	Time 0.102 (0.242)	Data 0.048 (0.179)	Loss 3.2927 (3.0909)	Prec@1 25.781 (28.769)	Prec@5 55.859 (57.597)
Epoch: [47][4800/7045]	Time 0.155 (0.242)	Data 0.103 (0.179)	Loss 3.0686 (3.0909)	Prec@1 26.562 (28.770)	Prec@5 56.641 (57.596)
Epoch: [47][4810/7045]	Time 0.428 (0.242)	Data 0.377 (0.179)	Loss 3.0855 (3.0908)	Prec@1 26.953 (28.769)	Prec@5 57.812 (57.597)
Epoch: [47][4820/7045]	Time 0.191 (0.242)	Data 0.140 (0.179)	Loss 3.0750 (3.0909)	Prec@1 28.125 (28.771)	Prec@5 57.031 (57.596)
Epoch: [47][4830/7045]	Time 0.326 (0.242)	Data 0.275 (0.179)	Loss 3.2117 (3.0908)	Prec@1 26.562 (28.771)	Prec@5 54.688 (57.597)
Epoch: [47][4840/7045]	Time 0.181 (0.242)	Data 0.129 (0.179)	Loss 2.9844 (3.0909)	Prec@1 28.125 (28.771)	Prec@5 59.375 (57.596)
Epoch: [47][4850/7045]	Time 0.181 (0.242)	Data 0.130 (0.179)	Loss 2.8865 (3.0909)	Prec@1 26.562 (28.771)	Prec@5 60.156 (57.594)
Epoch: [47][4860/7045]	Time 0.102 (0.242)	Data 0.001 (0.179)	Loss 2.9925 (3.0908)	Prec@1 30.078 (28.774)	Prec@5 58.594 (57.596)
Epoch: [47][4870/7045]	Time 0.102 (0.242)	Data 0.002 (0.179)	Loss 3.1023 (3.0908)	Prec@1 30.078 (28.774)	Prec@5 58.594 (57.594)
Epoch: [47][4880/7045]	Time 0.102 (0.242)	Data 0.049 (0.179)	Loss 2.9195 (3.0908)	Prec@1 31.641 (28.775)	Prec@5 60.156 (57.594)
Epoch: [47][4890/7045]	Time 0.107 (0.242)	Data 0.003 (0.179)	Loss 3.0718 (3.0908)	Prec@1 29.297 (28.774)	Prec@5 57.031 (57.593)
Epoch: [47][4900/7045]	Time 0.154 (0.242)	Data 0.103 (0.179)	Loss 2.9134 (3.0908)	Prec@1 35.156 (28.774)	Prec@5 62.109 (57.595)
Epoch: [47][4910/7045]	Time 0.103 (0.242)	Data 0.051 (0.179)	Loss 3.1426 (3.0909)	Prec@1 32.812 (28.776)	Prec@5 58.203 (57.595)
Epoch: [47][4920/7045]	Time 0.151 (0.242)	Data 0.101 (0.179)	Loss 3.0341 (3.0910)	Prec@1 29.297 (28.774)	Prec@5 56.250 (57.593)
Epoch: [47][4930/7045]	Time 0.102 (0.242)	Data 0.003 (0.179)	Loss 3.1170 (3.0911)	Prec@1 25.000 (28.768)	Prec@5 58.594 (57.589)
Epoch: [47][4940/7045]	Time 0.145 (0.242)	Data 0.094 (0.179)	Loss 2.9593 (3.0912)	Prec@1 29.688 (28.766)	Prec@5 62.109 (57.586)
Epoch: [47][4950/7045]	Time 0.102 (0.242)	Data 0.010 (0.179)	Loss 3.3261 (3.0913)	Prec@1 25.000 (28.767)	Prec@5 50.391 (57.585)
Epoch: [47][4960/7045]	Time 0.164 (0.242)	Data 0.112 (0.179)	Loss 3.2673 (3.0914)	Prec@1 23.438 (28.763)	Prec@5 52.734 (57.583)
Epoch: [47][4970/7045]	Time 0.101 (0.242)	Data 0.005 (0.179)	Loss 3.2519 (3.0913)	Prec@1 21.094 (28.765)	Prec@5 53.516 (57.586)
Epoch: [47][4980/7045]	Time 0.121 (0.242)	Data 0.070 (0.179)	Loss 2.9122 (3.0912)	Prec@1 31.641 (28.765)	Prec@5 60.547 (57.586)
Epoch: [47][4990/7045]	Time 0.104 (0.242)	Data 0.003 (0.179)	Loss 3.0329 (3.0912)	Prec@1 30.078 (28.767)	Prec@5 60.938 (57.587)
Epoch: [47][5000/7045]	Time 0.352 (0.242)	Data 0.301 (0.179)	Loss 3.0645 (3.0913)	Prec@1 29.297 (28.767)	Prec@5 57.812 (57.585)
Epoch: [47][5010/7045]	Time 0.105 (0.242)	Data 0.053 (0.179)	Loss 3.1708 (3.0912)	Prec@1 27.734 (28.766)	Prec@5 54.688 (57.588)
Epoch: [47][5020/7045]	Time 0.505 (0.242)	Data 0.453 (0.179)	Loss 3.0852 (3.0913)	Prec@1 33.203 (28.766)	Prec@5 60.547 (57.587)
Epoch: [47][5030/7045]	Time 0.103 (0.242)	Data 0.051 (0.179)	Loss 3.2368 (3.0913)	Prec@1 25.781 (28.767)	Prec@5 53.516 (57.586)
Epoch: [47][5040/7045]	Time 0.594 (0.242)	Data 0.543 (0.179)	Loss 3.0206 (3.0911)	Prec@1 32.422 (28.769)	Prec@5 58.984 (57.587)
Epoch: [47][5050/7045]	Time 0.108 (0.242)	Data 0.001 (0.179)	Loss 2.9136 (3.0909)	Prec@1 32.422 (28.772)	Prec@5 60.938 (57.591)
Epoch: [47][5060/7045]	Time 0.664 (0.242)	Data 0.612 (0.179)	Loss 3.0945 (3.0910)	Prec@1 26.953 (28.770)	Prec@5 61.328 (57.591)
Epoch: [47][5070/7045]	Time 0.110 (0.242)	Data 0.059 (0.179)	Loss 3.0952 (3.0910)	Prec@1 30.078 (28.772)	Prec@5 55.859 (57.592)
Epoch: [47][5080/7045]	Time 0.731 (0.242)	Data 0.673 (0.179)	Loss 3.1615 (3.0911)	Prec@1 26.953 (28.770)	Prec@5 55.469 (57.590)
Epoch: [47][5090/7045]	Time 0.102 (0.242)	Data 0.001 (0.179)	Loss 2.8372 (3.0911)	Prec@1 32.812 (28.771)	Prec@5 62.109 (57.591)
Epoch: [47][5100/7045]	Time 0.514 (0.242)	Data 0.462 (0.179)	Loss 3.2912 (3.0911)	Prec@1 26.172 (28.769)	Prec@5 55.078 (57.590)
Epoch: [47][5110/7045]	Time 0.100 (0.242)	Data 0.004 (0.179)	Loss 2.9880 (3.0910)	Prec@1 30.078 (28.770)	Prec@5 58.984 (57.593)
Epoch: [47][5120/7045]	Time 0.377 (0.242)	Data 0.325 (0.179)	Loss 2.9314 (3.0910)	Prec@1 30.078 (28.771)	Prec@5 62.891 (57.593)
Epoch: [47][5130/7045]	Time 0.102 (0.242)	Data 0.005 (0.179)	Loss 2.9739 (3.0909)	Prec@1 30.859 (28.774)	Prec@5 55.469 (57.594)
Epoch: [47][5140/7045]	Time 0.103 (0.242)	Data 0.052 (0.179)	Loss 3.0805 (3.0909)	Prec@1 31.250 (28.775)	Prec@5 56.641 (57.595)
Epoch: [47][5150/7045]	Time 0.216 (0.242)	Data 0.165 (0.179)	Loss 3.0850 (3.0910)	Prec@1 28.125 (28.775)	Prec@5 58.594 (57.593)
Epoch: [47][5160/7045]	Time 0.109 (0.242)	Data 0.001 (0.179)	Loss 3.1510 (3.0909)	Prec@1 30.859 (28.778)	Prec@5 56.250 (57.594)
Epoch: [47][5170/7045]	Time 0.480 (0.242)	Data 0.429 (0.179)	Loss 3.0420 (3.0910)	Prec@1 24.609 (28.778)	Prec@5 60.938 (57.593)
Epoch: [47][5180/7045]	Time 0.102 (0.242)	Data 0.007 (0.179)	Loss 3.2574 (3.0911)	Prec@1 26.953 (28.775)	Prec@5 56.250 (57.592)
Epoch: [47][5190/7045]	Time 0.699 (0.242)	Data 0.639 (0.179)	Loss 3.0565 (3.0912)	Prec@1 28.906 (28.775)	Prec@5 55.469 (57.589)
Epoch: [47][5200/7045]	Time 0.137 (0.242)	Data 0.087 (0.179)	Loss 3.0947 (3.0913)	Prec@1 28.516 (28.774)	Prec@5 59.766 (57.589)
Epoch: [47][5210/7045]	Time 0.538 (0.242)	Data 0.487 (0.179)	Loss 3.1086 (3.0913)	Prec@1 26.953 (28.774)	Prec@5 54.297 (57.590)
Epoch: [47][5220/7045]	Time 0.103 (0.242)	Data 0.001 (0.179)	Loss 2.9640 (3.0913)	Prec@1 28.906 (28.774)	Prec@5 57.422 (57.589)
Epoch: [47][5230/7045]	Time 0.256 (0.242)	Data 0.204 (0.179)	Loss 3.1542 (3.0914)	Prec@1 26.562 (28.772)	Prec@5 55.859 (57.586)
Epoch: [47][5240/7045]	Time 0.107 (0.242)	Data 0.055 (0.179)	Loss 2.9434 (3.0915)	Prec@1 29.297 (28.770)	Prec@5 59.375 (57.584)
Epoch: [47][5250/7045]	Time 0.101 (0.242)	Data 0.001 (0.179)	Loss 3.0833 (3.0915)	Prec@1 27.734 (28.770)	Prec@5 57.812 (57.583)
Epoch: [47][5260/7045]	Time 0.098 (0.242)	Data 0.045 (0.179)	Loss 3.0901 (3.0915)	Prec@1 29.688 (28.769)	Prec@5 58.203 (57.582)
Epoch: [47][5270/7045]	Time 0.102 (0.242)	Data 0.007 (0.179)	Loss 2.9812 (3.0915)	Prec@1 33.594 (28.769)	Prec@5 57.812 (57.582)
Epoch: [47][5280/7045]	Time 0.495 (0.242)	Data 0.436 (0.179)	Loss 3.1188 (3.0915)	Prec@1 29.297 (28.770)	Prec@5 60.156 (57.581)
Epoch: [47][5290/7045]	Time 0.426 (0.242)	Data 0.375 (0.179)	Loss 3.0760 (3.0917)	Prec@1 26.562 (28.765)	Prec@5 57.422 (57.575)
Epoch: [47][5300/7045]	Time 0.262 (0.242)	Data 0.212 (0.179)	Loss 3.1298 (3.0917)	Prec@1 29.688 (28.766)	Prec@5 57.812 (57.573)
Epoch: [47][5310/7045]	Time 0.168 (0.242)	Data 0.117 (0.179)	Loss 2.9534 (3.0917)	Prec@1 30.469 (28.764)	Prec@5 60.156 (57.573)
Epoch: [47][5320/7045]	Time 0.101 (0.242)	Data 0.004 (0.179)	Loss 3.0661 (3.0917)	Prec@1 30.859 (28.763)	Prec@5 59.766 (57.573)
Epoch: [47][5330/7045]	Time 0.100 (0.242)	Data 0.046 (0.179)	Loss 3.0852 (3.0917)	Prec@1 26.562 (28.764)	Prec@5 58.984 (57.573)
Epoch: [47][5340/7045]	Time 0.101 (0.242)	Data 0.006 (0.179)	Loss 2.8729 (3.0916)	Prec@1 33.984 (28.761)	Prec@5 63.281 (57.574)
Epoch: [47][5350/7045]	Time 0.247 (0.242)	Data 0.196 (0.179)	Loss 3.0567 (3.0917)	Prec@1 31.250 (28.760)	Prec@5 58.203 (57.572)
Epoch: [47][5360/7045]	Time 0.102 (0.242)	Data 0.004 (0.179)	Loss 3.1657 (3.0916)	Prec@1 27.734 (28.763)	Prec@5 54.297 (57.575)
Epoch: [47][5370/7045]	Time 0.102 (0.242)	Data 0.001 (0.179)	Loss 3.1468 (3.0915)	Prec@1 27.344 (28.764)	Prec@5 58.203 (57.576)
Epoch: [47][5380/7045]	Time 0.103 (0.242)	Data 0.006 (0.179)	Loss 3.0369 (3.0915)	Prec@1 31.250 (28.763)	Prec@5 59.766 (57.577)
Epoch: [47][5390/7045]	Time 0.392 (0.242)	Data 0.340 (0.179)	Loss 3.1182 (3.0916)	Prec@1 28.125 (28.764)	Prec@5 55.859 (57.576)
Epoch: [47][5400/7045]	Time 0.102 (0.242)	Data 0.001 (0.179)	Loss 3.0520 (3.0916)	Prec@1 26.172 (28.764)	Prec@5 56.641 (57.574)
Epoch: [47][5410/7045]	Time 0.418 (0.242)	Data 0.365 (0.179)	Loss 3.1960 (3.0918)	Prec@1 27.734 (28.762)	Prec@5 56.250 (57.571)
Epoch: [47][5420/7045]	Time 0.258 (0.242)	Data 0.208 (0.179)	Loss 3.2806 (3.0917)	Prec@1 28.516 (28.765)	Prec@5 56.250 (57.573)
Epoch: [47][5430/7045]	Time 0.264 (0.242)	Data 0.214 (0.179)	Loss 3.3303 (3.0917)	Prec@1 25.781 (28.766)	Prec@5 55.078 (57.572)
Epoch: [47][5440/7045]	Time 0.360 (0.242)	Data 0.309 (0.179)	Loss 3.1510 (3.0917)	Prec@1 29.688 (28.766)	Prec@5 56.641 (57.574)
Epoch: [47][5450/7045]	Time 0.102 (0.242)	Data 0.004 (0.179)	Loss 3.2440 (3.0916)	Prec@1 31.250 (28.766)	Prec@5 57.422 (57.575)
Epoch: [47][5460/7045]	Time 0.386 (0.242)	Data 0.335 (0.179)	Loss 2.8945 (3.0916)	Prec@1 34.375 (28.767)	Prec@5 61.328 (57.576)
Epoch: [47][5470/7045]	Time 0.123 (0.242)	Data 0.071 (0.179)	Loss 3.1602 (3.0916)	Prec@1 28.906 (28.767)	Prec@5 57.031 (57.574)
Epoch: [47][5480/7045]	Time 0.453 (0.242)	Data 0.402 (0.179)	Loss 2.7737 (3.0916)	Prec@1 31.250 (28.766)	Prec@5 63.672 (57.573)
Epoch: [47][5490/7045]	Time 0.263 (0.242)	Data 0.210 (0.179)	Loss 3.2381 (3.0914)	Prec@1 27.344 (28.768)	Prec@5 51.953 (57.575)
Epoch: [47][5500/7045]	Time 0.522 (0.242)	Data 0.462 (0.179)	Loss 2.9804 (3.0913)	Prec@1 31.641 (28.771)	Prec@5 57.812 (57.577)
Epoch: [47][5510/7045]	Time 0.264 (0.242)	Data 0.212 (0.179)	Loss 3.1657 (3.0913)	Prec@1 27.734 (28.771)	Prec@5 58.203 (57.578)
Epoch: [47][5520/7045]	Time 0.418 (0.242)	Data 0.367 (0.179)	Loss 3.0100 (3.0913)	Prec@1 28.516 (28.770)	Prec@5 61.328 (57.579)
Epoch: [47][5530/7045]	Time 0.211 (0.242)	Data 0.160 (0.179)	Loss 3.0311 (3.0912)	Prec@1 27.344 (28.771)	Prec@5 60.547 (57.581)
Epoch: [47][5540/7045]	Time 0.336 (0.242)	Data 0.285 (0.179)	Loss 3.1167 (3.0913)	Prec@1 32.422 (28.770)	Prec@5 57.812 (57.583)
Epoch: [47][5550/7045]	Time 0.194 (0.242)	Data 0.143 (0.179)	Loss 3.0685 (3.0913)	Prec@1 29.688 (28.769)	Prec@5 57.422 (57.581)
Epoch: [47][5560/7045]	Time 0.425 (0.242)	Data 0.367 (0.179)	Loss 3.1613 (3.0913)	Prec@1 23.438 (28.766)	Prec@5 57.812 (57.578)
Epoch: [47][5570/7045]	Time 0.221 (0.242)	Data 0.170 (0.179)	Loss 3.0817 (3.0912)	Prec@1 27.344 (28.769)	Prec@5 57.812 (57.580)
Epoch: [47][5580/7045]	Time 0.437 (0.242)	Data 0.379 (0.179)	Loss 3.1680 (3.0912)	Prec@1 24.609 (28.769)	Prec@5 55.859 (57.581)
Epoch: [47][5590/7045]	Time 0.280 (0.242)	Data 0.228 (0.179)	Loss 2.7833 (3.0910)	Prec@1 32.422 (28.771)	Prec@5 64.062 (57.583)
Epoch: [47][5600/7045]	Time 0.483 (0.242)	Data 0.433 (0.179)	Loss 3.2508 (3.0910)	Prec@1 25.391 (28.772)	Prec@5 54.297 (57.583)
Epoch: [47][5610/7045]	Time 0.255 (0.242)	Data 0.204 (0.179)	Loss 3.1662 (3.0910)	Prec@1 29.688 (28.773)	Prec@5 54.688 (57.584)
Epoch: [47][5620/7045]	Time 0.450 (0.242)	Data 0.399 (0.180)	Loss 3.0316 (3.0910)	Prec@1 28.125 (28.773)	Prec@5 58.203 (57.583)
Epoch: [47][5630/7045]	Time 0.246 (0.242)	Data 0.196 (0.180)	Loss 3.0062 (3.0911)	Prec@1 33.203 (28.772)	Prec@5 57.031 (57.581)
Epoch: [47][5640/7045]	Time 0.583 (0.242)	Data 0.525 (0.180)	Loss 3.0613 (3.0910)	Prec@1 28.125 (28.774)	Prec@5 53.516 (57.581)
Epoch: [47][5650/7045]	Time 0.100 (0.242)	Data 0.006 (0.180)	Loss 3.0024 (3.0909)	Prec@1 28.125 (28.773)	Prec@5 60.938 (57.582)
Epoch: [47][5660/7045]	Time 0.354 (0.242)	Data 0.304 (0.180)	Loss 2.8993 (3.0908)	Prec@1 29.688 (28.775)	Prec@5 62.109 (57.582)
Epoch: [47][5670/7045]	Time 0.197 (0.242)	Data 0.146 (0.180)	Loss 2.9251 (3.0909)	Prec@1 33.203 (28.776)	Prec@5 62.109 (57.583)
Epoch: [47][5680/7045]	Time 0.240 (0.242)	Data 0.188 (0.180)	Loss 3.1797 (3.0910)	Prec@1 26.172 (28.772)	Prec@5 56.250 (57.580)
Epoch: [47][5690/7045]	Time 0.124 (0.242)	Data 0.072 (0.180)	Loss 2.9948 (3.0910)	Prec@1 35.156 (28.774)	Prec@5 64.062 (57.581)
Epoch: [47][5700/7045]	Time 0.102 (0.242)	Data 0.001 (0.180)	Loss 3.0924 (3.0910)	Prec@1 25.391 (28.773)	Prec@5 57.812 (57.581)
Epoch: [47][5710/7045]	Time 0.103 (0.242)	Data 0.048 (0.180)	Loss 3.0623 (3.0910)	Prec@1 27.344 (28.770)	Prec@5 59.375 (57.582)
Epoch: [47][5720/7045]	Time 0.318 (0.242)	Data 0.267 (0.180)	Loss 3.1697 (3.0911)	Prec@1 30.469 (28.771)	Prec@5 60.156 (57.580)
Epoch: [47][5730/7045]	Time 0.102 (0.242)	Data 0.050 (0.180)	Loss 3.1883 (3.0911)	Prec@1 27.734 (28.771)	Prec@5 56.250 (57.580)
Epoch: [47][5740/7045]	Time 0.405 (0.242)	Data 0.354 (0.180)	Loss 3.2792 (3.0911)	Prec@1 20.703 (28.770)	Prec@5 56.250 (57.579)
Epoch: [47][5750/7045]	Time 0.151 (0.242)	Data 0.101 (0.180)	Loss 3.1278 (3.0912)	Prec@1 27.344 (28.767)	Prec@5 58.984 (57.578)
Epoch: [47][5760/7045]	Time 0.380 (0.242)	Data 0.322 (0.180)	Loss 3.0114 (3.0912)	Prec@1 28.516 (28.768)	Prec@5 58.594 (57.579)
Epoch: [47][5770/7045]	Time 0.368 (0.242)	Data 0.316 (0.180)	Loss 3.0662 (3.0910)	Prec@1 27.734 (28.772)	Prec@5 59.766 (57.583)
Epoch: [47][5780/7045]	Time 0.190 (0.242)	Data 0.131 (0.180)	Loss 3.1420 (3.0910)	Prec@1 25.781 (28.771)	Prec@5 57.812 (57.581)
Epoch: [47][5790/7045]	Time 0.496 (0.242)	Data 0.444 (0.180)	Loss 3.1820 (3.0911)	Prec@1 25.781 (28.771)	Prec@5 56.641 (57.581)
Epoch: [47][5800/7045]	Time 0.109 (0.242)	Data 0.007 (0.180)	Loss 3.3018 (3.0911)	Prec@1 24.219 (28.770)	Prec@5 53.125 (57.580)
Epoch: [47][5810/7045]	Time 0.491 (0.242)	Data 0.440 (0.180)	Loss 3.1970 (3.0912)	Prec@1 28.906 (28.767)	Prec@5 53.906 (57.576)
Epoch: [47][5820/7045]	Time 0.156 (0.242)	Data 0.097 (0.180)	Loss 2.9765 (3.0913)	Prec@1 30.859 (28.768)	Prec@5 58.594 (57.576)
Epoch: [47][5830/7045]	Time 0.356 (0.242)	Data 0.304 (0.180)	Loss 3.0776 (3.0912)	Prec@1 30.469 (28.769)	Prec@5 60.156 (57.577)
Epoch: [47][5840/7045]	Time 0.108 (0.242)	Data 0.055 (0.180)	Loss 2.9304 (3.0912)	Prec@1 32.422 (28.771)	Prec@5 59.375 (57.578)
Epoch: [47][5850/7045]	Time 0.182 (0.242)	Data 0.130 (0.180)	Loss 3.0867 (3.0914)	Prec@1 27.344 (28.769)	Prec@5 58.203 (57.574)
Epoch: [47][5860/7045]	Time 0.108 (0.242)	Data 0.057 (0.180)	Loss 3.0862 (3.0914)	Prec@1 28.125 (28.768)	Prec@5 57.031 (57.573)
Epoch: [47][5870/7045]	Time 0.110 (0.242)	Data 0.001 (0.180)	Loss 3.0538 (3.0914)	Prec@1 30.078 (28.769)	Prec@5 56.250 (57.572)
Epoch: [47][5880/7045]	Time 0.102 (0.242)	Data 0.009 (0.180)	Loss 3.1620 (3.0914)	Prec@1 26.172 (28.770)	Prec@5 54.688 (57.572)
Epoch: [47][5890/7045]	Time 0.226 (0.242)	Data 0.173 (0.180)	Loss 2.9773 (3.0914)	Prec@1 26.562 (28.770)	Prec@5 60.938 (57.572)
Epoch: [47][5900/7045]	Time 0.108 (0.242)	Data 0.056 (0.180)	Loss 3.1339 (3.0913)	Prec@1 31.250 (28.772)	Prec@5 57.812 (57.573)
Epoch: [47][5910/7045]	Time 0.122 (0.242)	Data 0.070 (0.180)	Loss 3.0330 (3.0914)	Prec@1 31.641 (28.771)	Prec@5 60.156 (57.572)
Epoch: [47][5920/7045]	Time 0.232 (0.242)	Data 0.181 (0.180)	Loss 3.0141 (3.0914)	Prec@1 28.125 (28.769)	Prec@5 57.031 (57.571)
Epoch: [47][5930/7045]	Time 0.108 (0.242)	Data 0.050 (0.180)	Loss 3.0441 (3.0914)	Prec@1 26.172 (28.769)	Prec@5 59.375 (57.572)
Epoch: [47][5940/7045]	Time 0.309 (0.242)	Data 0.259 (0.180)	Loss 3.0863 (3.0913)	Prec@1 30.469 (28.771)	Prec@5 61.328 (57.575)
Epoch: [47][5950/7045]	Time 0.102 (0.242)	Data 0.006 (0.180)	Loss 3.0190 (3.0912)	Prec@1 27.344 (28.773)	Prec@5 58.594 (57.577)
Epoch: [47][5960/7045]	Time 0.365 (0.242)	Data 0.314 (0.180)	Loss 3.0739 (3.0912)	Prec@1 28.906 (28.773)	Prec@5 58.203 (57.576)
Epoch: [47][5970/7045]	Time 0.101 (0.242)	Data 0.008 (0.180)	Loss 3.3133 (3.0912)	Prec@1 28.906 (28.773)	Prec@5 50.781 (57.576)
Epoch: [47][5980/7045]	Time 0.373 (0.242)	Data 0.322 (0.180)	Loss 3.0507 (3.0913)	Prec@1 31.250 (28.772)	Prec@5 58.984 (57.576)
Epoch: [47][5990/7045]	Time 0.101 (0.242)	Data 0.006 (0.180)	Loss 3.0599 (3.0914)	Prec@1 28.125 (28.770)	Prec@5 55.078 (57.572)
Epoch: [47][6000/7045]	Time 0.360 (0.242)	Data 0.308 (0.180)	Loss 3.2169 (3.0914)	Prec@1 23.438 (28.768)	Prec@5 55.078 (57.572)
Epoch: [47][6010/7045]	Time 0.101 (0.242)	Data 0.005 (0.180)	Loss 2.9898 (3.0915)	Prec@1 28.516 (28.766)	Prec@5 59.766 (57.571)
Epoch: [47][6020/7045]	Time 0.406 (0.242)	Data 0.354 (0.180)	Loss 3.3234 (3.0915)	Prec@1 26.562 (28.766)	Prec@5 51.953 (57.569)
Epoch: [47][6030/7045]	Time 0.101 (0.242)	Data 0.006 (0.180)	Loss 3.0121 (3.0915)	Prec@1 27.344 (28.766)	Prec@5 60.547 (57.571)
Epoch: [47][6040/7045]	Time 0.396 (0.242)	Data 0.345 (0.180)	Loss 2.9174 (3.0915)	Prec@1 31.641 (28.767)	Prec@5 58.984 (57.568)
Epoch: [47][6050/7045]	Time 0.107 (0.242)	Data 0.053 (0.180)	Loss 3.2567 (3.0914)	Prec@1 24.609 (28.768)	Prec@5 52.344 (57.570)
Epoch: [47][6060/7045]	Time 0.343 (0.242)	Data 0.290 (0.180)	Loss 3.0417 (3.0915)	Prec@1 33.594 (28.768)	Prec@5 58.984 (57.569)
Epoch: [47][6070/7045]	Time 0.103 (0.242)	Data 0.046 (0.180)	Loss 3.0657 (3.0915)	Prec@1 28.125 (28.768)	Prec@5 59.766 (57.570)
Epoch: [47][6080/7045]	Time 0.103 (0.242)	Data 0.046 (0.180)	Loss 3.1551 (3.0915)	Prec@1 28.125 (28.768)	Prec@5 58.594 (57.570)
Epoch: [47][6090/7045]	Time 0.105 (0.242)	Data 0.053 (0.180)	Loss 3.1892 (3.0916)	Prec@1 25.000 (28.767)	Prec@5 51.562 (57.569)
Epoch: [47][6100/7045]	Time 0.119 (0.242)	Data 0.062 (0.180)	Loss 3.0422 (3.0916)	Prec@1 27.344 (28.765)	Prec@5 58.203 (57.567)
Epoch: [47][6110/7045]	Time 0.102 (0.242)	Data 0.001 (0.180)	Loss 2.9894 (3.0916)	Prec@1 27.344 (28.764)	Prec@5 55.859 (57.568)
Epoch: [47][6120/7045]	Time 0.252 (0.242)	Data 0.193 (0.180)	Loss 3.0531 (3.0917)	Prec@1 29.688 (28.761)	Prec@5 54.688 (57.566)
Epoch: [47][6130/7045]	Time 0.276 (0.242)	Data 0.225 (0.180)	Loss 3.0762 (3.0916)	Prec@1 27.734 (28.761)	Prec@5 60.156 (57.568)
Epoch: [47][6140/7045]	Time 0.395 (0.242)	Data 0.343 (0.180)	Loss 3.1397 (3.0916)	Prec@1 27.734 (28.761)	Prec@5 57.422 (57.567)
Epoch: [47][6150/7045]	Time 0.451 (0.242)	Data 0.399 (0.180)	Loss 3.0473 (3.0917)	Prec@1 29.688 (28.762)	Prec@5 58.984 (57.568)
Epoch: [47][6160/7045]	Time 0.358 (0.242)	Data 0.307 (0.180)	Loss 3.0820 (3.0916)	Prec@1 31.641 (28.763)	Prec@5 60.547 (57.569)
Epoch: [47][6170/7045]	Time 0.444 (0.242)	Data 0.393 (0.180)	Loss 3.0506 (3.0915)	Prec@1 30.078 (28.763)	Prec@5 61.328 (57.571)
Epoch: [47][6180/7045]	Time 0.165 (0.242)	Data 0.113 (0.180)	Loss 2.9979 (3.0915)	Prec@1 28.906 (28.763)	Prec@5 58.984 (57.572)
Epoch: [47][6190/7045]	Time 0.185 (0.242)	Data 0.134 (0.180)	Loss 2.9674 (3.0915)	Prec@1 29.688 (28.761)	Prec@5 62.891 (57.572)
Epoch: [47][6200/7045]	Time 0.212 (0.242)	Data 0.156 (0.180)	Loss 3.0464 (3.0914)	Prec@1 26.953 (28.760)	Prec@5 58.984 (57.573)
Epoch: [47][6210/7045]	Time 0.102 (0.242)	Data 0.050 (0.180)	Loss 3.1231 (3.0915)	Prec@1 29.688 (28.760)	Prec@5 57.422 (57.574)
Epoch: [47][6220/7045]	Time 0.102 (0.242)	Data 0.001 (0.180)	Loss 3.0920 (3.0914)	Prec@1 31.250 (28.761)	Prec@5 57.422 (57.574)
Epoch: [47][6230/7045]	Time 0.103 (0.242)	Data 0.001 (0.180)	Loss 3.0010 (3.0913)	Prec@1 32.812 (28.761)	Prec@5 58.984 (57.574)
Epoch: [47][6240/7045]	Time 0.108 (0.243)	Data 0.046 (0.180)	Loss 3.2364 (3.0913)	Prec@1 24.219 (28.763)	Prec@5 52.734 (57.575)
Epoch: [47][6250/7045]	Time 0.102 (0.242)	Data 0.001 (0.180)	Loss 3.0600 (3.0912)	Prec@1 28.125 (28.764)	Prec@5 56.250 (57.574)
Epoch: [47][6260/7045]	Time 0.099 (0.242)	Data 0.001 (0.180)	Loss 2.8852 (3.0912)	Prec@1 32.422 (28.765)	Prec@5 58.594 (57.576)
Epoch: [47][6270/7045]	Time 0.102 (0.242)	Data 0.001 (0.179)	Loss 3.0890 (3.0912)	Prec@1 28.516 (28.765)	Prec@5 60.156 (57.575)
Epoch: [47][6280/7045]	Time 0.108 (0.243)	Data 0.004 (0.179)	Loss 3.2299 (3.0912)	Prec@1 28.125 (28.768)	Prec@5 54.688 (57.577)
Epoch: [47][6290/7045]	Time 0.101 (0.242)	Data 0.003 (0.179)	Loss 2.9677 (3.0910)	Prec@1 32.031 (28.771)	Prec@5 62.500 (57.579)
Epoch: [47][6300/7045]	Time 0.117 (0.243)	Data 0.058 (0.179)	Loss 2.9000 (3.0910)	Prec@1 30.469 (28.771)	Prec@5 57.422 (57.579)
Epoch: [47][6310/7045]	Time 0.102 (0.242)	Data 0.008 (0.179)	Loss 2.9210 (3.0910)	Prec@1 30.078 (28.769)	Prec@5 62.500 (57.578)
Epoch: [47][6320/7045]	Time 0.188 (0.243)	Data 0.136 (0.179)	Loss 3.0711 (3.0910)	Prec@1 28.906 (28.769)	Prec@5 58.203 (57.578)
Epoch: [47][6330/7045]	Time 0.101 (0.242)	Data 0.001 (0.179)	Loss 3.1114 (3.0910)	Prec@1 27.734 (28.769)	Prec@5 57.422 (57.580)
Epoch: [47][6340/7045]	Time 0.106 (0.243)	Data 0.006 (0.179)	Loss 3.0863 (3.0910)	Prec@1 28.906 (28.769)	Prec@5 53.906 (57.580)
Epoch: [47][6350/7045]	Time 0.802 (0.243)	Data 0.750 (0.179)	Loss 3.3792 (3.0911)	Prec@1 26.953 (28.768)	Prec@5 50.391 (57.578)
Epoch: [47][6360/7045]	Time 0.102 (0.243)	Data 0.049 (0.179)	Loss 2.8800 (3.0911)	Prec@1 30.469 (28.768)	Prec@5 60.156 (57.578)
Epoch: [47][6370/7045]	Time 0.450 (0.243)	Data 0.399 (0.179)	Loss 3.0166 (3.0912)	Prec@1 28.516 (28.768)	Prec@5 58.984 (57.577)
Epoch: [47][6380/7045]	Time 0.130 (0.243)	Data 0.079 (0.179)	Loss 3.2775 (3.0911)	Prec@1 26.562 (28.769)	Prec@5 52.734 (57.578)
Epoch: [47][6390/7045]	Time 0.278 (0.243)	Data 0.225 (0.179)	Loss 3.1138 (3.0911)	Prec@1 28.125 (28.768)	Prec@5 57.031 (57.579)
Epoch: [47][6400/7045]	Time 0.294 (0.243)	Data 0.241 (0.179)	Loss 3.0006 (3.0910)	Prec@1 32.422 (28.771)	Prec@5 58.203 (57.581)
Epoch: [47][6410/7045]	Time 0.245 (0.243)	Data 0.181 (0.179)	Loss 3.0033 (3.0910)	Prec@1 28.516 (28.771)	Prec@5 62.500 (57.583)
Epoch: [47][6420/7045]	Time 0.378 (0.243)	Data 0.327 (0.179)	Loss 3.1244 (3.0909)	Prec@1 30.078 (28.773)	Prec@5 57.812 (57.583)
Epoch: [47][6430/7045]	Time 0.194 (0.243)	Data 0.144 (0.179)	Loss 3.0965 (3.0909)	Prec@1 28.125 (28.774)	Prec@5 56.250 (57.584)
Epoch: [47][6440/7045]	Time 0.401 (0.243)	Data 0.344 (0.179)	Loss 3.0592 (3.0908)	Prec@1 30.469 (28.777)	Prec@5 55.469 (57.584)
Epoch: [47][6450/7045]	Time 0.119 (0.243)	Data 0.068 (0.179)	Loss 3.4281 (3.0909)	Prec@1 21.484 (28.776)	Prec@5 51.172 (57.585)
Epoch: [47][6460/7045]	Time 0.317 (0.243)	Data 0.265 (0.179)	Loss 3.1353 (3.0910)	Prec@1 23.438 (28.773)	Prec@5 58.203 (57.584)
Epoch: [47][6470/7045]	Time 0.123 (0.243)	Data 0.071 (0.179)	Loss 3.1581 (3.0909)	Prec@1 27.734 (28.774)	Prec@5 53.906 (57.584)
Epoch: [47][6480/7045]	Time 0.319 (0.243)	Data 0.267 (0.180)	Loss 2.9151 (3.0908)	Prec@1 31.250 (28.775)	Prec@5 59.375 (57.585)
Epoch: [47][6490/7045]	Time 0.101 (0.243)	Data 0.001 (0.179)	Loss 3.0057 (3.0908)	Prec@1 30.859 (28.777)	Prec@5 56.641 (57.586)
Epoch: [47][6500/7045]	Time 0.251 (0.243)	Data 0.201 (0.180)	Loss 3.1791 (3.0908)	Prec@1 29.297 (28.775)	Prec@5 55.078 (57.585)
Epoch: [47][6510/7045]	Time 0.145 (0.243)	Data 0.094 (0.179)	Loss 2.9477 (3.0909)	Prec@1 32.031 (28.775)	Prec@5 56.641 (57.583)
Epoch: [47][6520/7045]	Time 0.242 (0.243)	Data 0.190 (0.180)	Loss 2.8472 (3.0908)	Prec@1 32.422 (28.776)	Prec@5 58.984 (57.583)
Epoch: [47][6530/7045]	Time 0.138 (0.243)	Data 0.086 (0.180)	Loss 3.0570 (3.0907)	Prec@1 31.641 (28.777)	Prec@5 58.594 (57.587)
Epoch: [47][6540/7045]	Time 0.221 (0.243)	Data 0.169 (0.180)	Loss 3.0733 (3.0908)	Prec@1 32.812 (28.777)	Prec@5 59.766 (57.586)
Epoch: [47][6550/7045]	Time 0.102 (0.243)	Data 0.001 (0.180)	Loss 2.9459 (3.0908)	Prec@1 35.156 (28.778)	Prec@5 60.156 (57.586)
Epoch: [47][6560/7045]	Time 0.101 (0.243)	Data 0.006 (0.180)	Loss 3.0476 (3.0908)	Prec@1 31.641 (28.776)	Prec@5 57.422 (57.585)
Epoch: [47][6570/7045]	Time 0.185 (0.243)	Data 0.132 (0.180)	Loss 3.0198 (3.0908)	Prec@1 35.156 (28.778)	Prec@5 58.203 (57.586)
Epoch: [47][6580/7045]	Time 0.112 (0.243)	Data 0.061 (0.180)	Loss 3.2317 (3.0908)	Prec@1 25.000 (28.776)	Prec@5 54.688 (57.585)
Epoch: [47][6590/7045]	Time 0.205 (0.243)	Data 0.154 (0.180)	Loss 3.0694 (3.0909)	Prec@1 26.953 (28.775)	Prec@5 56.250 (57.585)
Epoch: [47][6600/7045]	Time 0.101 (0.243)	Data 0.008 (0.180)	Loss 3.2115 (3.0909)	Prec@1 21.484 (28.773)	Prec@5 52.734 (57.585)
Epoch: [47][6610/7045]	Time 0.101 (0.243)	Data 0.006 (0.180)	Loss 2.9829 (3.0909)	Prec@1 28.125 (28.772)	Prec@5 61.719 (57.584)
Epoch: [47][6620/7045]	Time 0.322 (0.243)	Data 0.270 (0.180)	Loss 2.9634 (3.0908)	Prec@1 28.516 (28.774)	Prec@5 61.719 (57.586)
Epoch: [47][6630/7045]	Time 0.101 (0.243)	Data 0.001 (0.180)	Loss 2.9273 (3.0908)	Prec@1 32.812 (28.775)	Prec@5 60.156 (57.586)
Epoch: [47][6640/7045]	Time 0.537 (0.243)	Data 0.487 (0.180)	Loss 2.9235 (3.0907)	Prec@1 31.250 (28.774)	Prec@5 59.375 (57.587)
Epoch: [47][6650/7045]	Time 0.280 (0.243)	Data 0.229 (0.180)	Loss 3.1958 (3.0908)	Prec@1 26.172 (28.772)	Prec@5 51.953 (57.587)
Epoch: [47][6660/7045]	Time 0.259 (0.243)	Data 0.209 (0.180)	Loss 2.9372 (3.0907)	Prec@1 30.469 (28.772)	Prec@5 61.328 (57.589)
Epoch: [47][6670/7045]	Time 0.609 (0.243)	Data 0.551 (0.180)	Loss 3.1398 (3.0908)	Prec@1 24.609 (28.772)	Prec@5 53.125 (57.587)
Epoch: [47][6680/7045]	Time 0.102 (0.243)	Data 0.008 (0.180)	Loss 2.8330 (3.0907)	Prec@1 30.859 (28.773)	Prec@5 62.500 (57.590)
Epoch: [47][6690/7045]	Time 0.485 (0.243)	Data 0.433 (0.180)	Loss 3.0710 (3.0907)	Prec@1 28.125 (28.771)	Prec@5 59.375 (57.588)
Epoch: [47][6700/7045]	Time 0.107 (0.243)	Data 0.006 (0.180)	Loss 3.1646 (3.0907)	Prec@1 29.688 (28.771)	Prec@5 55.469 (57.588)
Epoch: [47][6710/7045]	Time 0.367 (0.243)	Data 0.313 (0.180)	Loss 3.0658 (3.0907)	Prec@1 29.297 (28.771)	Prec@5 60.938 (57.590)
Epoch: [47][6720/7045]	Time 0.127 (0.243)	Data 0.075 (0.180)	Loss 2.9256 (3.0907)	Prec@1 31.250 (28.770)	Prec@5 58.984 (57.590)
Epoch: [47][6730/7045]	Time 0.138 (0.243)	Data 0.088 (0.180)	Loss 3.1903 (3.0907)	Prec@1 26.172 (28.769)	Prec@5 55.469 (57.591)
Epoch: [47][6740/7045]	Time 0.109 (0.243)	Data 0.057 (0.180)	Loss 3.1738 (3.0907)	Prec@1 25.781 (28.768)	Prec@5 60.156 (57.592)
Epoch: [47][6750/7045]	Time 0.340 (0.243)	Data 0.281 (0.180)	Loss 3.2353 (3.0908)	Prec@1 27.344 (28.766)	Prec@5 55.469 (57.591)
Epoch: [47][6760/7045]	Time 0.221 (0.243)	Data 0.169 (0.180)	Loss 2.9471 (3.0908)	Prec@1 28.125 (28.765)	Prec@5 62.500 (57.588)
Epoch: [47][6770/7045]	Time 0.359 (0.243)	Data 0.308 (0.180)	Loss 3.0243 (3.0908)	Prec@1 28.516 (28.766)	Prec@5 57.812 (57.590)
Epoch: [47][6780/7045]	Time 0.550 (0.243)	Data 0.491 (0.180)	Loss 3.1473 (3.0908)	Prec@1 29.688 (28.766)	Prec@5 53.906 (57.589)
Epoch: [47][6790/7045]	Time 0.121 (0.243)	Data 0.070 (0.180)	Loss 3.1589 (3.0908)	Prec@1 29.297 (28.766)	Prec@5 55.078 (57.589)
Epoch: [47][6800/7045]	Time 0.521 (0.243)	Data 0.469 (0.180)	Loss 3.2465 (3.0909)	Prec@1 26.562 (28.766)	Prec@5 56.641 (57.587)
Epoch: [47][6810/7045]	Time 0.101 (0.243)	Data 0.001 (0.180)	Loss 3.0552 (3.0909)	Prec@1 29.297 (28.767)	Prec@5 57.031 (57.585)
Epoch: [47][6820/7045]	Time 0.564 (0.243)	Data 0.508 (0.180)	Loss 3.1243 (3.0911)	Prec@1 29.297 (28.765)	Prec@5 58.594 (57.584)
Epoch: [47][6830/7045]	Time 0.111 (0.243)	Data 0.059 (0.180)	Loss 3.0020 (3.0910)	Prec@1 31.641 (28.765)	Prec@5 58.203 (57.586)
Epoch: [47][6840/7045]	Time 0.547 (0.243)	Data 0.495 (0.180)	Loss 3.1233 (3.0910)	Prec@1 30.859 (28.765)	Prec@5 57.812 (57.586)
Epoch: [47][6850/7045]	Time 0.258 (0.243)	Data 0.205 (0.180)	Loss 2.9971 (3.0909)	Prec@1 29.688 (28.766)	Prec@5 58.203 (57.586)
Epoch: [47][6860/7045]	Time 0.385 (0.243)	Data 0.332 (0.180)	Loss 3.0610 (3.0910)	Prec@1 28.125 (28.767)	Prec@5 60.156 (57.586)
Epoch: [47][6870/7045]	Time 0.101 (0.243)	Data 0.007 (0.180)	Loss 2.9571 (3.0911)	Prec@1 31.250 (28.766)	Prec@5 59.375 (57.584)
Epoch: [47][6880/7045]	Time 0.221 (0.243)	Data 0.171 (0.180)	Loss 3.0280 (3.0910)	Prec@1 31.250 (28.769)	Prec@5 58.594 (57.587)
Epoch: [47][6890/7045]	Time 0.222 (0.243)	Data 0.171 (0.180)	Loss 2.9051 (3.0908)	Prec@1 33.984 (28.771)	Prec@5 58.594 (57.591)
Epoch: [47][6900/7045]	Time 0.101 (0.243)	Data 0.001 (0.180)	Loss 3.1836 (3.0909)	Prec@1 24.609 (28.772)	Prec@5 53.516 (57.589)
Epoch: [47][6910/7045]	Time 0.414 (0.243)	Data 0.362 (0.180)	Loss 3.1521 (3.0909)	Prec@1 27.344 (28.771)	Prec@5 55.469 (57.588)
Epoch: [47][6920/7045]	Time 0.217 (0.243)	Data 0.166 (0.180)	Loss 3.0587 (3.0909)	Prec@1 29.688 (28.772)	Prec@5 59.375 (57.588)
Epoch: [47][6930/7045]	Time 0.365 (0.243)	Data 0.314 (0.180)	Loss 3.1558 (3.0910)	Prec@1 25.391 (28.772)	Prec@5 56.250 (57.586)
Epoch: [47][6940/7045]	Time 0.302 (0.243)	Data 0.251 (0.180)	Loss 3.2845 (3.0910)	Prec@1 27.344 (28.771)	Prec@5 53.516 (57.587)
Epoch: [47][6950/7045]	Time 0.263 (0.243)	Data 0.211 (0.180)	Loss 2.9391 (3.0910)	Prec@1 31.250 (28.771)	Prec@5 61.328 (57.587)
Epoch: [47][6960/7045]	Time 0.451 (0.243)	Data 0.400 (0.180)	Loss 3.0176 (3.0910)	Prec@1 30.859 (28.771)	Prec@5 59.375 (57.587)
Epoch: [47][6970/7045]	Time 0.101 (0.243)	Data 0.001 (0.180)	Loss 2.8793 (3.0909)	Prec@1 33.594 (28.769)	Prec@5 58.984 (57.588)
Epoch: [47][6980/7045]	Time 0.450 (0.243)	Data 0.399 (0.180)	Loss 3.0281 (3.0909)	Prec@1 28.125 (28.770)	Prec@5 59.766 (57.588)
Epoch: [47][6990/7045]	Time 0.114 (0.243)	Data 0.056 (0.180)	Loss 3.2292 (3.0909)	Prec@1 29.297 (28.770)	Prec@5 56.250 (57.587)
Epoch: [47][7000/7045]	Time 0.402 (0.243)	Data 0.351 (0.180)	Loss 3.0674 (3.0909)	Prec@1 28.125 (28.770)	Prec@5 57.031 (57.586)
Epoch: [47][7010/7045]	Time 0.102 (0.243)	Data 0.001 (0.180)	Loss 3.2678 (3.0909)	Prec@1 27.734 (28.771)	Prec@5 55.469 (57.586)
Epoch: [47][7020/7045]	Time 0.190 (0.243)	Data 0.138 (0.180)	Loss 3.1855 (3.0910)	Prec@1 26.562 (28.769)	Prec@5 55.078 (57.584)
Epoch: [47][7030/7045]	Time 0.254 (0.243)	Data 0.203 (0.180)	Loss 3.1096 (3.0910)	Prec@1 29.688 (28.769)	Prec@5 58.594 (57.584)
Epoch: [47][7040/7045]	Time 0.102 (0.243)	Data 0.003 (0.180)	Loss 3.1958 (3.0910)	Prec@1 26.172 (28.770)	Prec@5 52.344 (57.586)
Test: [0/143]	Time 1.244 (1.244)	Loss 2.6271 (2.6271)	Prec@1 39.062 (39.062)	Prec@5 63.672 (63.672)
Test: [10/143]	Time 0.049 (0.252)	Loss 2.0938 (2.4525)	Prec@1 53.516 (41.122)	Prec@5 78.125 (71.236)
Test: [20/143]	Time 0.059 (0.230)	Loss 2.4717 (2.4070)	Prec@1 38.672 (40.755)	Prec@5 73.047 (72.526)
Test: [30/143]	Time 0.064 (0.205)	Loss 2.7282 (2.4634)	Prec@1 37.891 (39.995)	Prec@5 63.281 (71.094)
Test: [40/143]	Time 0.176 (0.203)	Loss 3.1600 (2.4897)	Prec@1 18.750 (39.291)	Prec@5 58.203 (70.436)
Test: [50/143]	Time 0.118 (0.193)	Loss 2.0508 (2.5266)	Prec@1 44.141 (37.975)	Prec@5 82.031 (69.692)
Test: [60/143]	Time 0.104 (0.191)	Loss 2.9766 (2.5107)	Prec@1 22.266 (38.179)	Prec@5 60.938 (70.165)
Test: [70/143]	Time 0.407 (0.189)	Loss 3.4563 (2.5075)	Prec@1 17.969 (38.375)	Prec@5 50.391 (70.158)
Test: [80/143]	Time 0.048 (0.187)	Loss 2.6754 (2.5017)	Prec@1 30.078 (38.455)	Prec@5 67.969 (70.293)
Test: [90/143]	Time 0.472 (0.187)	Loss 2.1139 (2.4931)	Prec@1 46.484 (38.522)	Prec@5 83.594 (70.403)
Test: [100/143]	Time 0.138 (0.183)	Loss 2.4094 (2.4967)	Prec@1 40.625 (38.339)	Prec@5 75.000 (70.355)
Test: [110/143]	Time 0.152 (0.183)	Loss 2.3216 (2.4884)	Prec@1 46.484 (38.760)	Prec@5 71.875 (70.510)
Test: [120/143]	Time 0.118 (0.181)	Loss 2.0681 (2.4779)	Prec@1 52.344 (39.175)	Prec@5 78.906 (70.635)
Test: [130/143]	Time 0.047 (0.183)	Loss 1.9691 (2.4831)	Prec@1 55.469 (39.256)	Prec@5 74.219 (70.378)
Test: [140/143]	Time 0.116 (0.180)	Loss 3.3552 (2.5034)	Prec@1 19.922 (38.846)	Prec@5 50.781 (69.950)
 * Prec@1 38.904 Prec@5 69.992
Epoch: [48][0/7045]	Time 2.314 (2.314)	Data 2.257 (2.257)	Loss 3.0801 (3.0801)	Prec@1 27.734 (27.734)	Prec@5 57.422 (57.422)
Epoch: [48][10/7045]	Time 0.398 (0.430)	Data 0.347 (0.356)	Loss 3.2155 (3.0747)	Prec@1 26.953 (29.226)	Prec@5 53.906 (57.812)
Epoch: [48][20/7045]	Time 0.102 (0.344)	Data 0.006 (0.270)	Loss 3.1027 (3.0638)	Prec@1 28.906 (29.650)	Prec@5 59.375 (57.645)
Epoch: [48][30/7045]	Time 0.529 (0.324)	Data 0.478 (0.248)	Loss 2.7769 (3.0490)	Prec@1 33.594 (29.688)	Prec@5 62.500 (58.178)
Epoch: [48][40/7045]	Time 0.396 (0.305)	Data 0.345 (0.230)	Loss 3.0700 (3.0373)	Prec@1 28.906 (30.126)	Prec@5 55.469 (58.375)
Epoch: [48][50/7045]	Time 0.100 (0.294)	Data 0.009 (0.219)	Loss 3.1406 (3.0425)	Prec@1 26.953 (29.688)	Prec@5 58.984 (58.395)
Epoch: [48][60/7045]	Time 0.775 (0.293)	Data 0.725 (0.219)	Loss 2.9962 (3.0451)	Prec@1 30.859 (29.745)	Prec@5 59.766 (58.414)
Epoch: [48][70/7045]	Time 0.193 (0.282)	Data 0.142 (0.208)	Loss 3.0394 (3.0436)	Prec@1 31.250 (29.809)	Prec@5 58.984 (58.484)
Epoch: [48][80/7045]	Time 0.101 (0.282)	Data 0.001 (0.208)	Loss 3.2885 (3.0437)	Prec@1 26.953 (29.750)	Prec@5 52.734 (58.386)
Epoch: [48][90/7045]	Time 0.373 (0.279)	Data 0.313 (0.207)	Loss 2.8310 (3.0493)	Prec@1 30.078 (29.460)	Prec@5 64.453 (58.383)
Epoch: [48][100/7045]	Time 0.102 (0.274)	Data 0.001 (0.201)	Loss 3.0599 (3.0500)	Prec@1 28.516 (29.374)	Prec@5 57.812 (58.416)
Epoch: [48][110/7045]	Time 0.099 (0.273)	Data 0.046 (0.201)	Loss 3.0078 (3.0457)	Prec@1 28.906 (29.395)	Prec@5 60.156 (58.541)
Epoch: [48][120/7045]	Time 0.378 (0.272)	Data 0.327 (0.201)	Loss 3.1081 (3.0444)	Prec@1 28.125 (29.374)	Prec@5 53.516 (58.607)
Epoch: [48][130/7045]	Time 0.168 (0.270)	Data 0.117 (0.199)	Loss 3.0115 (3.0474)	Prec@1 30.859 (29.339)	Prec@5 60.156 (58.531)
Epoch: [48][140/7045]	Time 0.168 (0.269)	Data 0.118 (0.200)	Loss 3.0966 (3.0483)	Prec@1 32.812 (29.313)	Prec@5 58.203 (58.549)
Epoch: [48][150/7045]	Time 0.167 (0.267)	Data 0.115 (0.198)	Loss 3.0932 (3.0513)	Prec@1 28.516 (29.297)	Prec@5 58.203 (58.493)
Epoch: [48][160/7045]	Time 0.406 (0.268)	Data 0.355 (0.200)	Loss 3.2039 (3.0544)	Prec@1 26.953 (29.236)	Prec@5 51.953 (58.363)
Epoch: [48][170/7045]	Time 0.104 (0.265)	Data 0.052 (0.196)	Loss 2.9904 (3.0551)	Prec@1 32.812 (29.333)	Prec@5 61.328 (58.363)
Epoch: [48][180/7045]	Time 0.473 (0.265)	Data 0.416 (0.197)	Loss 3.3288 (3.0599)	Prec@1 25.391 (29.243)	Prec@5 53.125 (58.218)
Epoch: [48][190/7045]	Time 0.515 (0.265)	Data 0.464 (0.197)	Loss 3.2397 (3.0598)	Prec@1 28.516 (29.238)	Prec@5 55.859 (58.260)
Epoch: [48][200/7045]	Time 0.220 (0.263)	Data 0.168 (0.195)	Loss 2.9805 (3.0595)	Prec@1 30.859 (29.200)	Prec@5 58.203 (58.258)
Epoch: [48][210/7045]	Time 0.265 (0.261)	Data 0.214 (0.194)	Loss 3.0334 (3.0607)	Prec@1 29.688 (29.178)	Prec@5 60.156 (58.218)
Epoch: [48][220/7045]	Time 0.111 (0.261)	Data 0.002 (0.193)	Loss 3.2507 (3.0603)	Prec@1 22.266 (29.145)	Prec@5 51.172 (58.210)
Epoch: [48][230/7045]	Time 0.179 (0.259)	Data 0.128 (0.192)	Loss 2.9762 (3.0596)	Prec@1 29.297 (29.146)	Prec@5 58.594 (58.225)
Epoch: [48][240/7045]	Time 0.138 (0.260)	Data 0.086 (0.192)	Loss 2.9802 (3.0597)	Prec@1 30.859 (29.159)	Prec@5 62.500 (58.244)
Epoch: [48][250/7045]	Time 0.392 (0.259)	Data 0.340 (0.192)	Loss 3.0483 (3.0585)	Prec@1 30.859 (29.193)	Prec@5 57.031 (58.254)
Epoch: [48][260/7045]	Time 0.106 (0.259)	Data 0.015 (0.192)	Loss 3.1137 (3.0592)	Prec@1 28.516 (29.225)	Prec@5 59.375 (58.259)
Epoch: [48][270/7045]	Time 0.858 (0.260)	Data 0.805 (0.193)	Loss 3.2757 (3.0588)	Prec@1 25.000 (29.215)	Prec@5 53.516 (58.256)
Epoch: [48][280/7045]	Time 0.108 (0.258)	Data 0.057 (0.190)	Loss 2.9263 (3.0584)	Prec@1 28.516 (29.244)	Prec@5 60.547 (58.281)
Epoch: [48][290/7045]	Time 0.588 (0.258)	Data 0.531 (0.190)	Loss 3.0435 (3.0585)	Prec@1 27.344 (29.250)	Prec@5 62.109 (58.290)
Epoch: [48][300/7045]	Time 0.102 (0.256)	Data 0.001 (0.189)	Loss 2.8882 (3.0573)	Prec@1 35.547 (29.290)	Prec@5 61.719 (58.330)
Epoch: [48][310/7045]	Time 0.136 (0.257)	Data 0.084 (0.189)	Loss 2.9452 (3.0573)	Prec@1 31.250 (29.249)	Prec@5 58.203 (58.324)
Epoch: [48][320/7045]	Time 0.103 (0.256)	Data 0.001 (0.188)	Loss 3.1715 (3.0586)	Prec@1 28.516 (29.263)	Prec@5 58.984 (58.310)
Epoch: [48][330/7045]	Time 0.102 (0.256)	Data 0.009 (0.188)	Loss 3.1605 (3.0589)	Prec@1 28.125 (29.293)	Prec@5 55.859 (58.318)
Epoch: [48][340/7045]	Time 0.167 (0.256)	Data 0.116 (0.188)	Loss 3.1755 (3.0600)	Prec@1 27.734 (29.260)	Prec@5 55.859 (58.298)
Epoch: [48][350/7045]	Time 0.107 (0.256)	Data 0.055 (0.188)	Loss 3.2215 (3.0622)	Prec@1 27.344 (29.229)	Prec@5 53.516 (58.243)
Epoch: [48][360/7045]	Time 0.450 (0.256)	Data 0.398 (0.188)	Loss 3.1243 (3.0638)	Prec@1 26.953 (29.196)	Prec@5 55.859 (58.205)
Epoch: [48][370/7045]	Time 0.251 (0.256)	Data 0.198 (0.188)	Loss 3.0729 (3.0633)	Prec@1 29.688 (29.209)	Prec@5 60.547 (58.212)
Epoch: [48][380/7045]	Time 0.184 (0.256)	Data 0.133 (0.188)	Loss 2.9922 (3.0650)	Prec@1 32.812 (29.183)	Prec@5 59.375 (58.168)
Epoch: [48][390/7045]	Time 0.312 (0.255)	Data 0.262 (0.188)	Loss 3.1277 (3.0651)	Prec@1 28.125 (29.214)	Prec@5 57.812 (58.153)
Epoch: [48][400/7045]	Time 0.111 (0.256)	Data 0.001 (0.189)	Loss 3.1844 (3.0645)	Prec@1 31.641 (29.244)	Prec@5 53.516 (58.168)
Epoch: [48][410/7045]	Time 0.102 (0.255)	Data 0.005 (0.187)	Loss 3.1060 (3.0652)	Prec@1 28.906 (29.215)	Prec@5 57.031 (58.133)
Epoch: [48][420/7045]	Time 0.109 (0.255)	Data 0.001 (0.187)	Loss 2.9448 (3.0655)	Prec@1 32.031 (29.223)	Prec@5 62.891 (58.107)
Epoch: [48][430/7045]	Time 0.298 (0.255)	Data 0.242 (0.187)	Loss 3.0505 (3.0657)	Prec@1 30.469 (29.221)	Prec@5 60.156 (58.095)
Epoch: [48][440/7045]	Time 0.100 (0.255)	Data 0.019 (0.187)	Loss 3.1040 (3.0659)	Prec@1 27.344 (29.210)	Prec@5 54.688 (58.087)
Epoch: [48][450/7045]	Time 0.571 (0.255)	Data 0.520 (0.187)	Loss 3.0641 (3.0656)	Prec@1 32.812 (29.201)	Prec@5 57.422 (58.102)
Epoch: [48][460/7045]	Time 0.102 (0.254)	Data 0.001 (0.186)	Loss 2.9706 (3.0658)	Prec@1 32.031 (29.183)	Prec@5 61.328 (58.118)
Epoch: [48][470/7045]	Time 0.631 (0.255)	Data 0.570 (0.186)	Loss 3.3374 (3.0675)	Prec@1 26.172 (29.167)	Prec@5 55.078 (58.052)
Epoch: [48][480/7045]	Time 0.103 (0.254)	Data 0.001 (0.185)	Loss 2.9221 (3.0671)	Prec@1 27.734 (29.164)	Prec@5 60.156 (58.082)
Epoch: [48][490/7045]	Time 0.448 (0.254)	Data 0.396 (0.186)	Loss 3.1902 (3.0668)	Prec@1 28.125 (29.165)	Prec@5 57.422 (58.111)
Epoch: [48][500/7045]	Time 0.224 (0.254)	Data 0.174 (0.185)	Loss 3.0767 (3.0660)	Prec@1 26.562 (29.182)	Prec@5 59.766 (58.098)
Epoch: [48][510/7045]	Time 0.118 (0.254)	Data 0.066 (0.185)	Loss 3.0089 (3.0651)	Prec@1 26.953 (29.197)	Prec@5 58.984 (58.114)
Epoch: [48][520/7045]	Time 0.721 (0.254)	Data 0.669 (0.186)	Loss 3.0647 (3.0645)	Prec@1 31.641 (29.206)	Prec@5 56.250 (58.121)
Epoch: [48][530/7045]	Time 0.101 (0.254)	Data 0.001 (0.185)	Loss 3.1452 (3.0643)	Prec@1 32.422 (29.214)	Prec@5 58.203 (58.128)
Epoch: [48][540/7045]	Time 0.607 (0.254)	Data 0.557 (0.185)	Loss 3.0720 (3.0653)	Prec@1 30.469 (29.196)	Prec@5 58.984 (58.117)
Epoch: [48][550/7045]	Time 0.102 (0.253)	Data 0.007 (0.185)	Loss 2.9756 (3.0648)	Prec@1 29.688 (29.217)	Prec@5 59.375 (58.127)
Epoch: [48][560/7045]	Time 0.103 (0.254)	Data 0.017 (0.185)	Loss 2.9873 (3.0647)	Prec@1 29.297 (29.190)	Prec@5 61.719 (58.134)
Epoch: [48][570/7045]	Time 0.101 (0.253)	Data 0.009 (0.184)	Loss 3.2718 (3.0662)	Prec@1 27.734 (29.164)	Prec@5 49.609 (58.092)
Epoch: [48][580/7045]	Time 0.111 (0.253)	Data 0.013 (0.184)	Loss 3.0234 (3.0674)	Prec@1 30.469 (29.145)	Prec@5 60.547 (58.073)
Epoch: [48][590/7045]	Time 0.102 (0.253)	Data 0.001 (0.184)	Loss 2.9859 (3.0676)	Prec@1 31.641 (29.148)	Prec@5 60.547 (58.068)
Epoch: [48][600/7045]	Time 0.155 (0.253)	Data 0.104 (0.184)	Loss 3.1354 (3.0666)	Prec@1 27.734 (29.159)	Prec@5 56.250 (58.088)
Epoch: [48][610/7045]	Time 0.679 (0.253)	Data 0.622 (0.185)	Loss 2.8855 (3.0655)	Prec@1 30.469 (29.172)	Prec@5 62.109 (58.102)
Epoch: [48][620/7045]	Time 0.115 (0.253)	Data 0.019 (0.184)	Loss 2.9563 (3.0649)	Prec@1 30.859 (29.182)	Prec@5 57.812 (58.113)
Epoch: [48][630/7045]	Time 0.605 (0.253)	Data 0.547 (0.184)	Loss 3.1521 (3.0654)	Prec@1 31.250 (29.171)	Prec@5 54.688 (58.110)
Epoch: [48][640/7045]	Time 0.364 (0.253)	Data 0.313 (0.184)	Loss 2.8553 (3.0651)	Prec@1 36.719 (29.220)	Prec@5 62.500 (58.123)
Epoch: [48][650/7045]	Time 0.310 (0.252)	Data 0.260 (0.184)	Loss 3.0316 (3.0645)	Prec@1 33.203 (29.239)	Prec@5 59.766 (58.129)
Epoch: [48][660/7045]	Time 0.294 (0.252)	Data 0.243 (0.184)	Loss 3.1914 (3.0646)	Prec@1 31.250 (29.235)	Prec@5 54.688 (58.129)
Epoch: [48][670/7045]	Time 0.114 (0.252)	Data 0.062 (0.184)	Loss 2.9672 (3.0646)	Prec@1 32.422 (29.244)	Prec@5 62.891 (58.133)
Epoch: [48][680/7045]	Time 0.271 (0.252)	Data 0.219 (0.184)	Loss 2.9484 (3.0643)	Prec@1 31.250 (29.263)	Prec@5 62.109 (58.142)
Epoch: [48][690/7045]	Time 0.102 (0.252)	Data 0.001 (0.184)	Loss 3.1478 (3.0648)	Prec@1 29.688 (29.269)	Prec@5 51.562 (58.149)
Epoch: [48][700/7045]	Time 0.568 (0.253)	Data 0.516 (0.184)	Loss 3.0374 (3.0645)	Prec@1 30.859 (29.285)	Prec@5 59.375 (58.161)
Epoch: [48][710/7045]	Time 0.199 (0.252)	Data 0.149 (0.184)	Loss 3.2259 (3.0646)	Prec@1 28.125 (29.288)	Prec@5 54.688 (58.155)
Epoch: [48][720/7045]	Time 0.103 (0.252)	Data 0.001 (0.184)	Loss 3.1741 (3.0646)	Prec@1 29.688 (29.283)	Prec@5 56.641 (58.159)
Epoch: [48][730/7045]	Time 0.698 (0.252)	Data 0.645 (0.184)	Loss 3.0865 (3.0639)	Prec@1 32.812 (29.294)	Prec@5 57.031 (58.152)
Epoch: [48][740/7045]	Time 0.102 (0.252)	Data 0.007 (0.184)	Loss 2.9505 (3.0640)	Prec@1 29.297 (29.281)	Prec@5 60.547 (58.161)
Epoch: [48][750/7045]	Time 0.412 (0.252)	Data 0.354 (0.184)	Loss 3.2016 (3.0646)	Prec@1 26.953 (29.266)	Prec@5 51.562 (58.141)
Epoch: [48][760/7045]	Time 0.472 (0.252)	Data 0.421 (0.184)	Loss 3.0497 (3.0644)	Prec@1 30.469 (29.263)	Prec@5 61.328 (58.140)
Epoch: [48][770/7045]	Time 0.154 (0.252)	Data 0.103 (0.184)	Loss 3.0868 (3.0647)	Prec@1 29.688 (29.256)	Prec@5 55.078 (58.132)
Epoch: [48][780/7045]	Time 0.540 (0.252)	Data 0.487 (0.185)	Loss 3.0180 (3.0644)	Prec@1 30.859 (29.263)	Prec@5 57.422 (58.132)
Epoch: [48][790/7045]	Time 0.172 (0.252)	Data 0.120 (0.184)	Loss 3.0664 (3.0638)	Prec@1 30.078 (29.294)	Prec@5 61.719 (58.147)
Epoch: [48][800/7045]	Time 0.111 (0.252)	Data 0.001 (0.185)	Loss 2.9492 (3.0638)	Prec@1 28.906 (29.281)	Prec@5 62.109 (58.137)
Epoch: [48][810/7045]	Time 0.445 (0.252)	Data 0.386 (0.185)	Loss 2.8335 (3.0645)	Prec@1 31.250 (29.256)	Prec@5 62.500 (58.120)
Epoch: [48][820/7045]	Time 0.157 (0.252)	Data 0.105 (0.185)	Loss 3.2431 (3.0647)	Prec@1 25.391 (29.247)	Prec@5 53.906 (58.121)
Epoch: [48][830/7045]	Time 0.275 (0.252)	Data 0.225 (0.185)	Loss 3.0549 (3.0649)	Prec@1 28.906 (29.245)	Prec@5 56.641 (58.114)
Epoch: [48][840/7045]	Time 0.112 (0.252)	Data 0.006 (0.185)	Loss 3.4215 (3.0654)	Prec@1 24.609 (29.233)	Prec@5 48.828 (58.112)
Epoch: [48][850/7045]	Time 0.295 (0.252)	Data 0.244 (0.184)	Loss 3.0820 (3.0657)	Prec@1 29.297 (29.213)	Prec@5 58.203 (58.102)
Epoch: [48][860/7045]	Time 0.104 (0.252)	Data 0.002 (0.184)	Loss 2.9715 (3.0655)	Prec@1 30.859 (29.200)	Prec@5 62.500 (58.114)
Epoch: [48][870/7045]	Time 0.192 (0.252)	Data 0.139 (0.184)	Loss 2.9197 (3.0659)	Prec@1 30.859 (29.190)	Prec@5 59.375 (58.104)
Epoch: [48][880/7045]	Time 0.103 (0.252)	Data 0.001 (0.184)	Loss 2.8628 (3.0654)	Prec@1 31.641 (29.197)	Prec@5 60.156 (58.107)
Epoch: [48][890/7045]	Time 0.102 (0.252)	Data 0.008 (0.184)	Loss 3.1206 (3.0654)	Prec@1 27.344 (29.204)	Prec@5 56.641 (58.111)
Epoch: [48][900/7045]	Time 0.353 (0.252)	Data 0.301 (0.184)	Loss 3.0306 (3.0654)	Prec@1 28.906 (29.201)	Prec@5 60.156 (58.119)
Epoch: [48][910/7045]	Time 0.101 (0.252)	Data 0.001 (0.184)	Loss 3.2738 (3.0654)	Prec@1 25.391 (29.209)	Prec@5 51.562 (58.115)
Epoch: [48][920/7045]	Time 0.329 (0.252)	Data 0.271 (0.185)	Loss 3.3127 (3.0647)	Prec@1 23.828 (29.212)	Prec@5 53.516 (58.128)
Epoch: [48][930/7045]	Time 0.314 (0.252)	Data 0.264 (0.185)	Loss 3.0470 (3.0650)	Prec@1 29.297 (29.213)	Prec@5 61.719 (58.133)
Epoch: [48][940/7045]	Time 0.188 (0.252)	Data 0.138 (0.185)	Loss 3.0384 (3.0650)	Prec@1 32.422 (29.216)	Prec@5 60.547 (58.133)
Epoch: [48][950/7045]	Time 0.524 (0.252)	Data 0.473 (0.185)	Loss 3.0894 (3.0654)	Prec@1 26.172 (29.209)	Prec@5 55.078 (58.125)
Epoch: [48][960/7045]	Time 0.324 (0.252)	Data 0.270 (0.185)	Loss 2.8953 (3.0653)	Prec@1 30.469 (29.210)	Prec@5 59.766 (58.133)
Epoch: [48][970/7045]	Time 0.313 (0.252)	Data 0.262 (0.185)	Loss 3.1254 (3.0657)	Prec@1 31.641 (29.202)	Prec@5 57.812 (58.134)
Epoch: [48][980/7045]	Time 0.718 (0.252)	Data 0.659 (0.185)	Loss 3.0120 (3.0655)	Prec@1 32.812 (29.208)	Prec@5 60.156 (58.137)
Epoch: [48][990/7045]	Time 0.102 (0.252)	Data 0.001 (0.184)	Loss 2.9321 (3.0658)	Prec@1 32.422 (29.206)	Prec@5 61.328 (58.122)
Epoch: [48][1000/7045]	Time 0.534 (0.252)	Data 0.478 (0.185)	Loss 2.8444 (3.0664)	Prec@1 33.594 (29.187)	Prec@5 64.062 (58.108)
Epoch: [48][1010/7045]	Time 0.120 (0.252)	Data 0.068 (0.184)	Loss 3.1744 (3.0673)	Prec@1 29.297 (29.191)	Prec@5 53.906 (58.077)
Epoch: [48][1020/7045]	Time 0.101 (0.252)	Data 0.002 (0.185)	Loss 3.0714 (3.0670)	Prec@1 31.250 (29.204)	Prec@5 58.594 (58.071)
Epoch: [48][1030/7045]	Time 0.415 (0.252)	Data 0.365 (0.185)	Loss 3.1913 (3.0668)	Prec@1 27.734 (29.214)	Prec@5 55.859 (58.083)
Epoch: [48][1040/7045]	Time 0.131 (0.252)	Data 0.080 (0.185)	Loss 3.1417 (3.0670)	Prec@1 27.344 (29.200)	Prec@5 55.469 (58.074)
Epoch: [48][1050/7045]	Time 0.128 (0.252)	Data 0.077 (0.185)	Loss 2.9096 (3.0668)	Prec@1 32.422 (29.211)	Prec@5 63.672 (58.068)
Epoch: [48][1060/7045]	Time 0.102 (0.252)	Data 0.001 (0.185)	Loss 3.1605 (3.0672)	Prec@1 32.422 (29.206)	Prec@5 55.469 (58.063)
Epoch: [48][1070/7045]	Time 0.109 (0.252)	Data 0.001 (0.185)	Loss 3.1563 (3.0667)	Prec@1 26.562 (29.214)	Prec@5 51.562 (58.067)
Epoch: [48][1080/7045]	Time 0.177 (0.252)	Data 0.125 (0.184)	Loss 3.0981 (3.0665)	Prec@1 32.812 (29.217)	Prec@5 60.547 (58.071)
Epoch: [48][1090/7045]	Time 0.102 (0.252)	Data 0.005 (0.185)	Loss 3.0083 (3.0670)	Prec@1 28.516 (29.202)	Prec@5 61.328 (58.061)
Epoch: [48][1100/7045]	Time 0.324 (0.252)	Data 0.272 (0.185)	Loss 2.9604 (3.0672)	Prec@1 30.078 (29.185)	Prec@5 60.156 (58.054)
Epoch: [48][1110/7045]	Time 0.102 (0.252)	Data 0.001 (0.184)	Loss 3.1218 (3.0669)	Prec@1 25.000 (29.194)	Prec@5 56.250 (58.063)
Epoch: [48][1120/7045]	Time 0.126 (0.252)	Data 0.074 (0.185)	Loss 2.9173 (3.0665)	Prec@1 32.422 (29.196)	Prec@5 61.328 (58.070)
Epoch: [48][1130/7045]	Time 0.127 (0.252)	Data 0.077 (0.184)	Loss 3.2088 (3.0660)	Prec@1 29.297 (29.203)	Prec@5 55.469 (58.084)
Epoch: [48][1140/7045]	Time 0.101 (0.252)	Data 0.001 (0.185)	Loss 3.1359 (3.0660)	Prec@1 26.953 (29.206)	Prec@5 55.859 (58.075)
Epoch: [48][1150/7045]	Time 0.101 (0.251)	Data 0.006 (0.184)	Loss 2.9946 (3.0659)	Prec@1 25.781 (29.200)	Prec@5 59.375 (58.077)
Epoch: [48][1160/7045]	Time 0.117 (0.252)	Data 0.058 (0.184)	Loss 2.9621 (3.0653)	Prec@1 25.391 (29.197)	Prec@5 59.375 (58.092)
Epoch: [48][1170/7045]	Time 0.448 (0.252)	Data 0.396 (0.185)	Loss 3.0101 (3.0648)	Prec@1 28.906 (29.203)	Prec@5 57.422 (58.102)
Epoch: [48][1180/7045]	Time 0.152 (0.252)	Data 0.100 (0.184)	Loss 2.9786 (3.0648)	Prec@1 31.250 (29.212)	Prec@5 55.469 (58.102)
Epoch: [48][1190/7045]	Time 0.561 (0.252)	Data 0.502 (0.185)	Loss 3.0656 (3.0652)	Prec@1 26.953 (29.204)	Prec@5 58.594 (58.089)
Epoch: [48][1200/7045]	Time 0.101 (0.251)	Data 0.001 (0.184)	Loss 3.1154 (3.0656)	Prec@1 32.422 (29.202)	Prec@5 60.938 (58.085)
Epoch: [48][1210/7045]	Time 0.199 (0.252)	Data 0.149 (0.185)	Loss 3.1108 (3.0654)	Prec@1 29.297 (29.200)	Prec@5 58.203 (58.092)
Epoch: [48][1220/7045]	Time 0.103 (0.251)	Data 0.001 (0.184)	Loss 2.9546 (3.0657)	Prec@1 33.984 (29.192)	Prec@5 61.719 (58.087)
Epoch: [48][1230/7045]	Time 0.103 (0.251)	Data 0.008 (0.184)	Loss 3.0494 (3.0661)	Prec@1 29.297 (29.179)	Prec@5 59.766 (58.076)
Epoch: [48][1240/7045]	Time 0.102 (0.251)	Data 0.002 (0.184)	Loss 3.0916 (3.0659)	Prec@1 26.562 (29.181)	Prec@5 57.031 (58.078)
Epoch: [48][1250/7045]	Time 0.101 (0.251)	Data 0.045 (0.184)	Loss 3.0845 (3.0659)	Prec@1 30.078 (29.187)	Prec@5 53.906 (58.071)
Epoch: [48][1260/7045]	Time 0.235 (0.252)	Data 0.182 (0.184)	Loss 3.0808 (3.0657)	Prec@1 29.688 (29.202)	Prec@5 57.812 (58.075)
Epoch: [48][1270/7045]	Time 0.101 (0.251)	Data 0.009 (0.184)	Loss 3.0873 (3.0663)	Prec@1 29.688 (29.193)	Prec@5 59.375 (58.065)
Epoch: [48][1280/7045]	Time 0.110 (0.251)	Data 0.059 (0.184)	Loss 2.9585 (3.0666)	Prec@1 32.031 (29.186)	Prec@5 59.766 (58.060)
Epoch: [48][1290/7045]	Time 0.750 (0.252)	Data 0.699 (0.185)	Loss 2.8698 (3.0665)	Prec@1 33.594 (29.192)	Prec@5 62.891 (58.071)
Epoch: [48][1300/7045]	Time 0.108 (0.251)	Data 0.056 (0.184)	Loss 3.1333 (3.0667)	Prec@1 26.562 (29.185)	Prec@5 60.156 (58.066)
Epoch: [48][1310/7045]	Time 0.453 (0.251)	Data 0.401 (0.184)	Loss 3.0936 (3.0670)	Prec@1 26.172 (29.185)	Prec@5 57.031 (58.067)
Epoch: [48][1320/7045]	Time 0.129 (0.251)	Data 0.071 (0.184)	Loss 3.1358 (3.0672)	Prec@1 25.781 (29.176)	Prec@5 59.375 (58.058)
Epoch: [48][1330/7045]	Time 0.386 (0.251)	Data 0.335 (0.184)	Loss 2.9895 (3.0675)	Prec@1 30.859 (29.176)	Prec@5 60.547 (58.046)
Epoch: [48][1340/7045]	Time 0.362 (0.251)	Data 0.309 (0.185)	Loss 3.0168 (3.0677)	Prec@1 29.688 (29.173)	Prec@5 59.766 (58.046)
Epoch: [48][1350/7045]	Time 0.102 (0.251)	Data 0.001 (0.184)	Loss 3.1143 (3.0678)	Prec@1 25.391 (29.174)	Prec@5 57.812 (58.052)
Epoch: [48][1360/7045]	Time 0.534 (0.251)	Data 0.483 (0.185)	Loss 3.2474 (3.0679)	Prec@1 29.688 (29.175)	Prec@5 57.422 (58.052)
Epoch: [48][1370/7045]	Time 0.166 (0.251)	Data 0.115 (0.184)	Loss 3.3387 (3.0682)	Prec@1 26.562 (29.174)	Prec@5 53.125 (58.045)
Epoch: [48][1380/7045]	Time 0.333 (0.251)	Data 0.282 (0.184)	Loss 3.0452 (3.0680)	Prec@1 29.297 (29.179)	Prec@5 61.719 (58.045)
Epoch: [48][1390/7045]	Time 0.258 (0.251)	Data 0.207 (0.184)	Loss 3.3001 (3.0684)	Prec@1 27.734 (29.174)	Prec@5 54.688 (58.046)
Epoch: [48][1400/7045]	Time 0.117 (0.251)	Data 0.066 (0.184)	Loss 2.8787 (3.0684)	Prec@1 35.156 (29.179)	Prec@5 61.719 (58.047)
Epoch: [48][1410/7045]	Time 0.400 (0.251)	Data 0.344 (0.185)	Loss 3.0546 (3.0683)	Prec@1 28.125 (29.182)	Prec@5 60.938 (58.047)
Epoch: [48][1420/7045]	Time 0.128 (0.251)	Data 0.077 (0.184)	Loss 2.9704 (3.0682)	Prec@1 28.516 (29.191)	Prec@5 63.281 (58.050)
Epoch: [48][1430/7045]	Time 0.147 (0.251)	Data 0.095 (0.185)	Loss 3.2625 (3.0679)	Prec@1 29.688 (29.197)	Prec@5 55.469 (58.060)
Epoch: [48][1440/7045]	Time 0.101 (0.251)	Data 0.001 (0.185)	Loss 3.0277 (3.0679)	Prec@1 30.469 (29.195)	Prec@5 58.984 (58.064)
Epoch: [48][1450/7045]	Time 0.102 (0.251)	Data 0.007 (0.185)	Loss 3.0013 (3.0678)	Prec@1 32.422 (29.197)	Prec@5 60.156 (58.064)
Epoch: [48][1460/7045]	Time 0.226 (0.251)	Data 0.176 (0.185)	Loss 3.0764 (3.0680)	Prec@1 29.688 (29.190)	Prec@5 54.297 (58.062)
Epoch: [48][1470/7045]	Time 0.268 (0.251)	Data 0.217 (0.185)	Loss 3.1618 (3.0683)	Prec@1 29.297 (29.186)	Prec@5 56.641 (58.062)
Epoch: [48][1480/7045]	Time 0.117 (0.251)	Data 0.066 (0.185)	Loss 2.9193 (3.0682)	Prec@1 33.203 (29.190)	Prec@5 57.031 (58.064)
Epoch: [48][1490/7045]	Time 0.106 (0.251)	Data 0.019 (0.185)	Loss 3.2362 (3.0684)	Prec@1 29.297 (29.184)	Prec@5 55.469 (58.061)
Epoch: [48][1500/7045]	Time 0.321 (0.251)	Data 0.270 (0.185)	Loss 3.0599 (3.0684)	Prec@1 31.641 (29.179)	Prec@5 57.031 (58.060)
Epoch: [48][1510/7045]	Time 0.184 (0.251)	Data 0.131 (0.185)	Loss 3.0140 (3.0687)	Prec@1 32.031 (29.179)	Prec@5 55.078 (58.052)
Epoch: [48][1520/7045]	Time 0.187 (0.251)	Data 0.136 (0.185)	Loss 3.0739 (3.0688)	Prec@1 30.078 (29.173)	Prec@5 57.422 (58.047)
Epoch: [48][1530/7045]	Time 0.125 (0.251)	Data 0.072 (0.185)	Loss 3.1845 (3.0691)	Prec@1 30.078 (29.172)	Prec@5 51.953 (58.039)
Epoch: [48][1540/7045]	Time 0.120 (0.251)	Data 0.070 (0.185)	Loss 2.8529 (3.0688)	Prec@1 35.938 (29.184)	Prec@5 58.594 (58.037)
Epoch: [48][1550/7045]	Time 0.399 (0.251)	Data 0.348 (0.185)	Loss 3.2054 (3.0696)	Prec@1 25.781 (29.172)	Prec@5 58.203 (58.026)
Epoch: [48][1560/7045]	Time 0.102 (0.251)	Data 0.001 (0.185)	Loss 3.2288 (3.0699)	Prec@1 26.172 (29.164)	Prec@5 53.906 (58.015)
Epoch: [48][1570/7045]	Time 0.187 (0.251)	Data 0.136 (0.185)	Loss 3.0335 (3.0697)	Prec@1 28.125 (29.166)	Prec@5 57.031 (58.018)
Epoch: [48][1580/7045]	Time 0.116 (0.251)	Data 0.065 (0.185)	Loss 3.1469 (3.0700)	Prec@1 26.953 (29.154)	Prec@5 54.688 (58.015)
Epoch: [48][1590/7045]	Time 0.149 (0.251)	Data 0.098 (0.185)	Loss 3.1091 (3.0702)	Prec@1 27.734 (29.149)	Prec@5 53.516 (58.008)
Epoch: [48][1600/7045]	Time 0.339 (0.251)	Data 0.287 (0.185)	Loss 3.0431 (3.0705)	Prec@1 30.469 (29.148)	Prec@5 57.422 (58.003)
Epoch: [48][1610/7045]	Time 0.101 (0.251)	Data 0.001 (0.185)	Loss 3.1023 (3.0709)	Prec@1 26.562 (29.140)	Prec@5 60.156 (57.995)
Epoch: [48][1620/7045]	Time 0.446 (0.251)	Data 0.393 (0.185)	Loss 3.1394 (3.0706)	Prec@1 27.734 (29.144)	Prec@5 57.031 (58.000)
Epoch: [48][1630/7045]	Time 0.447 (0.251)	Data 0.396 (0.185)	Loss 2.9932 (3.0705)	Prec@1 27.344 (29.147)	Prec@5 58.984 (57.999)
Epoch: [48][1640/7045]	Time 0.135 (0.251)	Data 0.085 (0.185)	Loss 3.0182 (3.0702)	Prec@1 30.078 (29.153)	Prec@5 54.688 (58.002)
Epoch: [48][1650/7045]	Time 0.201 (0.251)	Data 0.150 (0.185)	Loss 3.0608 (3.0699)	Prec@1 28.516 (29.155)	Prec@5 58.984 (58.005)
Epoch: [48][1660/7045]	Time 0.109 (0.251)	Data 0.008 (0.185)	Loss 3.1024 (3.0699)	Prec@1 25.000 (29.151)	Prec@5 55.859 (58.000)
Epoch: [48][1670/7045]	Time 0.369 (0.251)	Data 0.317 (0.185)	Loss 3.1995 (3.0703)	Prec@1 29.297 (29.144)	Prec@5 52.734 (57.987)
Epoch: [48][1680/7045]	Time 0.119 (0.251)	Data 0.068 (0.185)	Loss 3.0071 (3.0712)	Prec@1 30.859 (29.135)	Prec@5 63.281 (57.967)
Epoch: [48][1690/7045]	Time 0.099 (0.251)	Data 0.044 (0.185)	Loss 3.0045 (3.0718)	Prec@1 29.297 (29.123)	Prec@5 60.938 (57.956)
Epoch: [48][1700/7045]	Time 0.143 (0.251)	Data 0.091 (0.185)	Loss 2.9573 (3.0718)	Prec@1 32.031 (29.123)	Prec@5 62.109 (57.953)
Epoch: [48][1710/7045]	Time 0.276 (0.251)	Data 0.226 (0.185)	Loss 2.9754 (3.0717)	Prec@1 31.250 (29.121)	Prec@5 58.984 (57.951)
Epoch: [48][1720/7045]	Time 0.244 (0.251)	Data 0.192 (0.185)	Loss 2.9949 (3.0713)	Prec@1 30.078 (29.133)	Prec@5 59.766 (57.955)
Epoch: [48][1730/7045]	Time 0.202 (0.251)	Data 0.151 (0.185)	Loss 3.1608 (3.0714)	Prec@1 26.953 (29.126)	Prec@5 56.250 (57.946)
Epoch: [48][1740/7045]	Time 0.222 (0.251)	Data 0.163 (0.185)	Loss 2.9255 (3.0713)	Prec@1 32.031 (29.129)	Prec@5 61.719 (57.951)
Epoch: [48][1750/7045]	Time 0.101 (0.251)	Data 0.001 (0.185)	Loss 2.9414 (3.0712)	Prec@1 28.125 (29.130)	Prec@5 63.672 (57.957)
Epoch: [48][1760/7045]	Time 0.280 (0.251)	Data 0.229 (0.185)	Loss 3.2335 (3.0715)	Prec@1 26.953 (29.125)	Prec@5 57.422 (57.958)
Epoch: [48][1770/7045]	Time 0.417 (0.251)	Data 0.365 (0.185)	Loss 2.9002 (3.0713)	Prec@1 33.594 (29.127)	Prec@5 60.938 (57.959)
Epoch: [48][1780/7045]	Time 0.101 (0.251)	Data 0.001 (0.185)	Loss 2.9918 (3.0715)	Prec@1 30.859 (29.126)	Prec@5 59.766 (57.955)
Epoch: [48][1790/7045]	Time 0.456 (0.251)	Data 0.405 (0.185)	Loss 3.0085 (3.0713)	Prec@1 28.906 (29.127)	Prec@5 58.203 (57.961)
Epoch: [48][1800/7045]	Time 0.101 (0.251)	Data 0.003 (0.185)	Loss 3.1267 (3.0712)	Prec@1 23.828 (29.126)	Prec@5 54.297 (57.965)
Epoch: [48][1810/7045]	Time 0.105 (0.251)	Data 0.054 (0.185)	Loss 3.1466 (3.0713)	Prec@1 26.172 (29.124)	Prec@5 56.641 (57.963)
Epoch: [48][1820/7045]	Time 0.101 (0.251)	Data 0.004 (0.185)	Loss 3.0960 (3.0712)	Prec@1 28.906 (29.129)	Prec@5 55.859 (57.966)
Epoch: [48][1830/7045]	Time 0.107 (0.251)	Data 0.055 (0.185)	Loss 3.0337 (3.0714)	Prec@1 28.906 (29.127)	Prec@5 61.719 (57.955)
Epoch: [48][1840/7045]	Time 0.101 (0.250)	Data 0.005 (0.185)	Loss 3.2080 (3.0716)	Prec@1 25.000 (29.123)	Prec@5 54.688 (57.957)
Epoch: [48][1850/7045]	Time 0.289 (0.251)	Data 0.238 (0.185)	Loss 2.9867 (3.0716)	Prec@1 29.297 (29.123)	Prec@5 62.109 (57.963)
Epoch: [48][1860/7045]	Time 0.365 (0.251)	Data 0.313 (0.185)	Loss 3.0525 (3.0716)	Prec@1 31.641 (29.126)	Prec@5 63.281 (57.961)
Epoch: [48][1870/7045]	Time 0.325 (0.251)	Data 0.275 (0.185)	Loss 3.0318 (3.0717)	Prec@1 31.250 (29.128)	Prec@5 62.109 (57.960)
Epoch: [48][1880/7045]	Time 0.399 (0.251)	Data 0.347 (0.185)	Loss 3.1426 (3.0722)	Prec@1 29.688 (29.122)	Prec@5 58.594 (57.951)
Epoch: [48][1890/7045]	Time 0.105 (0.251)	Data 0.001 (0.185)	Loss 3.0143 (3.0719)	Prec@1 26.172 (29.123)	Prec@5 55.469 (57.950)
Epoch: [48][1900/7045]	Time 0.160 (0.250)	Data 0.110 (0.185)	Loss 2.8709 (3.0720)	Prec@1 35.547 (29.122)	Prec@5 61.719 (57.949)
Epoch: [48][1910/7045]	Time 0.432 (0.251)	Data 0.381 (0.185)	Loss 3.1848 (3.0721)	Prec@1 33.594 (29.118)	Prec@5 58.203 (57.943)
Epoch: [48][1920/7045]	Time 0.103 (0.250)	Data 0.020 (0.185)	Loss 3.1431 (3.0724)	Prec@1 33.984 (29.121)	Prec@5 54.297 (57.933)
Epoch: [48][1930/7045]	Time 0.434 (0.250)	Data 0.385 (0.185)	Loss 3.0721 (3.0722)	Prec@1 32.422 (29.125)	Prec@5 57.031 (57.933)
Epoch: [48][1940/7045]	Time 0.182 (0.251)	Data 0.131 (0.185)	Loss 3.1511 (3.0727)	Prec@1 27.734 (29.116)	Prec@5 55.469 (57.926)
Epoch: [48][1950/7045]	Time 0.102 (0.250)	Data 0.021 (0.185)	Loss 3.0277 (3.0726)	Prec@1 32.031 (29.118)	Prec@5 57.031 (57.933)
Epoch: [48][1960/7045]	Time 0.233 (0.250)	Data 0.183 (0.185)	Loss 2.9934 (3.0729)	Prec@1 29.688 (29.110)	Prec@5 59.375 (57.927)
Epoch: [48][1970/7045]	Time 0.223 (0.250)	Data 0.171 (0.185)	Loss 2.7720 (3.0728)	Prec@1 37.500 (29.110)	Prec@5 66.016 (57.924)
Epoch: [48][1980/7045]	Time 0.299 (0.250)	Data 0.242 (0.185)	Loss 3.0038 (3.0729)	Prec@1 29.297 (29.108)	Prec@5 60.938 (57.927)
Epoch: [48][1990/7045]	Time 0.517 (0.250)	Data 0.465 (0.185)	Loss 3.1702 (3.0729)	Prec@1 26.562 (29.108)	Prec@5 57.812 (57.924)
Epoch: [48][2000/7045]	Time 0.128 (0.250)	Data 0.077 (0.185)	Loss 2.9716 (3.0730)	Prec@1 28.906 (29.109)	Prec@5 59.375 (57.927)
Epoch: [48][2010/7045]	Time 0.229 (0.250)	Data 0.178 (0.185)	Loss 3.1710 (3.0731)	Prec@1 27.344 (29.103)	Prec@5 61.328 (57.924)
Epoch: [48][2020/7045]	Time 0.103 (0.250)	Data 0.045 (0.185)	Loss 3.0235 (3.0732)	Prec@1 28.125 (29.098)	Prec@5 54.688 (57.924)
Epoch: [48][2030/7045]	Time 0.138 (0.250)	Data 0.086 (0.185)	Loss 2.8709 (3.0729)	Prec@1 27.734 (29.109)	Prec@5 62.109 (57.930)
Epoch: [48][2040/7045]	Time 0.345 (0.250)	Data 0.293 (0.185)	Loss 3.0178 (3.0728)	Prec@1 29.297 (29.110)	Prec@5 60.547 (57.932)
Epoch: [48][2050/7045]	Time 0.412 (0.250)	Data 0.353 (0.185)	Loss 2.7993 (3.0727)	Prec@1 32.422 (29.113)	Prec@5 63.281 (57.930)
Epoch: [48][2060/7045]	Time 0.222 (0.250)	Data 0.170 (0.185)	Loss 3.1138 (3.0730)	Prec@1 28.125 (29.105)	Prec@5 58.203 (57.925)
Epoch: [48][2070/7045]	Time 0.321 (0.250)	Data 0.255 (0.185)	Loss 2.8587 (3.0725)	Prec@1 32.031 (29.109)	Prec@5 65.625 (57.936)
Epoch: [48][2080/7045]	Time 0.330 (0.250)	Data 0.280 (0.185)	Loss 3.3259 (3.0725)	Prec@1 25.391 (29.112)	Prec@5 52.344 (57.931)
Epoch: [48][2090/7045]	Time 0.103 (0.250)	Data 0.051 (0.185)	Loss 3.1123 (3.0725)	Prec@1 26.562 (29.111)	Prec@5 55.859 (57.929)
Epoch: [48][2100/7045]	Time 0.103 (0.250)	Data 0.010 (0.185)	Loss 3.1342 (3.0725)	Prec@1 30.078 (29.112)	Prec@5 60.156 (57.932)
Epoch: [48][2110/7045]	Time 0.108 (0.250)	Data 0.001 (0.185)	Loss 3.1355 (3.0726)	Prec@1 30.859 (29.105)	Prec@5 55.078 (57.925)
Epoch: [48][2120/7045]	Time 0.517 (0.250)	Data 0.465 (0.185)	Loss 3.1046 (3.0728)	Prec@1 29.297 (29.107)	Prec@5 53.906 (57.925)
Epoch: [48][2130/7045]	Time 0.100 (0.250)	Data 0.001 (0.185)	Loss 2.8289 (3.0725)	Prec@1 35.547 (29.117)	Prec@5 61.719 (57.928)
Epoch: [48][2140/7045]	Time 0.668 (0.250)	Data 0.618 (0.185)	Loss 3.0206 (3.0726)	Prec@1 27.734 (29.119)	Prec@5 57.812 (57.929)
Epoch: [48][2150/7045]	Time 0.111 (0.250)	Data 0.060 (0.185)	Loss 2.9629 (3.0722)	Prec@1 31.250 (29.124)	Prec@5 61.719 (57.935)
Epoch: [48][2160/7045]	Time 0.407 (0.250)	Data 0.356 (0.185)	Loss 3.0316 (3.0722)	Prec@1 31.250 (29.131)	Prec@5 61.328 (57.935)
Epoch: [48][2170/7045]	Time 0.105 (0.250)	Data 0.053 (0.185)	Loss 3.1005 (3.0723)	Prec@1 26.172 (29.126)	Prec@5 58.594 (57.931)
Epoch: [48][2180/7045]	Time 0.108 (0.250)	Data 0.001 (0.185)	Loss 3.1796 (3.0726)	Prec@1 27.734 (29.120)	Prec@5 56.641 (57.928)
Epoch: [48][2190/7045]	Time 0.103 (0.250)	Data 0.001 (0.185)	Loss 3.0497 (3.0728)	Prec@1 28.906 (29.115)	Prec@5 58.203 (57.925)
Epoch: [48][2200/7045]	Time 0.104 (0.250)	Data 0.051 (0.185)	Loss 2.8702 (3.0730)	Prec@1 33.203 (29.115)	Prec@5 61.719 (57.922)
Epoch: [48][2210/7045]	Time 0.219 (0.250)	Data 0.169 (0.184)	Loss 3.1328 (3.0733)	Prec@1 30.078 (29.111)	Prec@5 54.688 (57.917)
Epoch: [48][2220/7045]	Time 0.186 (0.250)	Data 0.135 (0.185)	Loss 3.0926 (3.0731)	Prec@1 31.250 (29.120)	Prec@5 57.812 (57.916)
Epoch: [48][2230/7045]	Time 0.661 (0.250)	Data 0.602 (0.185)	Loss 3.1062 (3.0727)	Prec@1 26.172 (29.122)	Prec@5 55.469 (57.928)
Epoch: [48][2240/7045]	Time 0.102 (0.250)	Data 0.001 (0.185)	Loss 3.1624 (3.0728)	Prec@1 29.688 (29.120)	Prec@5 53.906 (57.925)
Epoch: [48][2250/7045]	Time 0.718 (0.250)	Data 0.667 (0.185)	Loss 2.9031 (3.0724)	Prec@1 31.250 (29.124)	Prec@5 62.109 (57.936)
Epoch: [48][2260/7045]	Time 0.103 (0.250)	Data 0.001 (0.184)	Loss 3.0514 (3.0723)	Prec@1 27.734 (29.121)	Prec@5 62.891 (57.944)
Epoch: [48][2270/7045]	Time 0.430 (0.250)	Data 0.378 (0.184)	Loss 2.8738 (3.0723)	Prec@1 29.688 (29.122)	Prec@5 62.891 (57.945)
Epoch: [48][2280/7045]	Time 0.344 (0.250)	Data 0.294 (0.184)	Loss 2.8886 (3.0722)	Prec@1 33.984 (29.122)	Prec@5 62.109 (57.944)
Epoch: [48][2290/7045]	Time 0.103 (0.250)	Data 0.001 (0.184)	Loss 2.9841 (3.0720)	Prec@1 32.422 (29.131)	Prec@5 62.500 (57.953)
Epoch: [48][2300/7045]	Time 0.262 (0.250)	Data 0.211 (0.184)	Loss 3.2084 (3.0720)	Prec@1 24.219 (29.128)	Prec@5 52.344 (57.947)
Epoch: [48][2310/7045]	Time 0.097 (0.250)	Data 0.001 (0.184)	Loss 3.0699 (3.0722)	Prec@1 31.250 (29.126)	Prec@5 56.641 (57.940)
Epoch: [48][2320/7045]	Time 0.105 (0.250)	Data 0.049 (0.184)	Loss 3.1273 (3.0724)	Prec@1 28.516 (29.124)	Prec@5 56.641 (57.936)
Epoch: [48][2330/7045]	Time 0.111 (0.250)	Data 0.058 (0.184)	Loss 3.1825 (3.0724)	Prec@1 31.641 (29.125)	Prec@5 58.203 (57.936)
Epoch: [48][2340/7045]	Time 0.442 (0.250)	Data 0.391 (0.184)	Loss 3.0371 (3.0727)	Prec@1 34.375 (29.128)	Prec@5 57.422 (57.929)
Epoch: [48][2350/7045]	Time 0.126 (0.250)	Data 0.074 (0.184)	Loss 2.9128 (3.0725)	Prec@1 34.766 (29.129)	Prec@5 63.281 (57.934)
Epoch: [48][2360/7045]	Time 0.314 (0.250)	Data 0.258 (0.184)	Loss 3.0311 (3.0726)	Prec@1 29.297 (29.126)	Prec@5 59.766 (57.930)
Epoch: [48][2370/7045]	Time 0.207 (0.250)	Data 0.156 (0.184)	Loss 3.0290 (3.0729)	Prec@1 25.781 (29.123)	Prec@5 57.422 (57.923)
Epoch: [48][2380/7045]	Time 0.101 (0.250)	Data 0.001 (0.184)	Loss 3.0284 (3.0726)	Prec@1 29.297 (29.132)	Prec@5 56.250 (57.925)
Epoch: [48][2390/7045]	Time 0.139 (0.250)	Data 0.087 (0.184)	Loss 3.2810 (3.0728)	Prec@1 27.734 (29.130)	Prec@5 49.609 (57.916)
Epoch: [48][2400/7045]	Time 0.117 (0.250)	Data 0.064 (0.184)	Loss 3.2607 (3.0729)	Prec@1 27.734 (29.127)	Prec@5 55.469 (57.915)
Epoch: [48][2410/7045]	Time 0.101 (0.250)	Data 0.013 (0.184)	Loss 2.8936 (3.0730)	Prec@1 32.422 (29.124)	Prec@5 56.641 (57.907)
Epoch: [48][2420/7045]	Time 0.391 (0.250)	Data 0.339 (0.184)	Loss 2.9852 (3.0730)	Prec@1 30.859 (29.123)	Prec@5 58.594 (57.908)
Epoch: [48][2430/7045]	Time 0.110 (0.250)	Data 0.058 (0.184)	Loss 3.0137 (3.0731)	Prec@1 27.344 (29.120)	Prec@5 61.719 (57.910)
Epoch: [48][2440/7045]	Time 0.693 (0.250)	Data 0.642 (0.185)	Loss 2.8983 (3.0732)	Prec@1 30.859 (29.117)	Prec@5 62.891 (57.909)
Epoch: [48][2450/7045]	Time 0.106 (0.250)	Data 0.052 (0.184)	Loss 3.0352 (3.0729)	Prec@1 29.297 (29.121)	Prec@5 57.422 (57.916)
Epoch: [48][2460/7045]	Time 0.536 (0.250)	Data 0.478 (0.185)	Loss 3.1605 (3.0729)	Prec@1 31.250 (29.123)	Prec@5 53.125 (57.912)
Epoch: [48][2470/7045]	Time 0.315 (0.250)	Data 0.264 (0.185)	Loss 3.2902 (3.0732)	Prec@1 26.172 (29.120)	Prec@5 53.906 (57.903)
Epoch: [48][2480/7045]	Time 0.322 (0.250)	Data 0.263 (0.185)	Loss 3.2590 (3.0735)	Prec@1 24.219 (29.115)	Prec@5 53.906 (57.898)
Epoch: [48][2490/7045]	Time 0.498 (0.250)	Data 0.448 (0.185)	Loss 3.0320 (3.0735)	Prec@1 32.031 (29.112)	Prec@5 60.547 (57.902)
Epoch: [48][2500/7045]	Time 0.107 (0.250)	Data 0.001 (0.185)	Loss 2.9613 (3.0733)	Prec@1 30.469 (29.112)	Prec@5 58.203 (57.905)
Epoch: [48][2510/7045]	Time 0.697 (0.250)	Data 0.641 (0.185)	Loss 3.1162 (3.0732)	Prec@1 25.391 (29.113)	Prec@5 57.422 (57.909)
Epoch: [48][2520/7045]	Time 0.163 (0.250)	Data 0.112 (0.185)	Loss 3.2828 (3.0735)	Prec@1 25.000 (29.112)	Prec@5 55.078 (57.904)
Epoch: [48][2530/7045]	Time 0.479 (0.250)	Data 0.429 (0.185)	Loss 3.0647 (3.0735)	Prec@1 28.906 (29.111)	Prec@5 58.594 (57.903)
Epoch: [48][2540/7045]	Time 0.149 (0.250)	Data 0.098 (0.184)	Loss 3.0603 (3.0735)	Prec@1 28.906 (29.112)	Prec@5 57.812 (57.905)
Epoch: [48][2550/7045]	Time 0.343 (0.250)	Data 0.291 (0.185)	Loss 2.9273 (3.0733)	Prec@1 32.422 (29.115)	Prec@5 60.156 (57.909)
Epoch: [48][2560/7045]	Time 0.181 (0.250)	Data 0.129 (0.185)	Loss 2.8767 (3.0732)	Prec@1 33.203 (29.118)	Prec@5 61.719 (57.913)
Epoch: [48][2570/7045]	Time 0.144 (0.250)	Data 0.093 (0.185)	Loss 3.0803 (3.0729)	Prec@1 27.734 (29.119)	Prec@5 59.766 (57.916)
Epoch: [48][2580/7045]	Time 0.316 (0.250)	Data 0.265 (0.185)	Loss 2.9506 (3.0729)	Prec@1 29.297 (29.121)	Prec@5 60.938 (57.921)
Epoch: [48][2590/7045]	Time 0.198 (0.250)	Data 0.146 (0.185)	Loss 3.0139 (3.0727)	Prec@1 28.125 (29.123)	Prec@5 60.156 (57.921)
Epoch: [48][2600/7045]	Time 0.418 (0.250)	Data 0.367 (0.185)	Loss 2.9406 (3.0727)	Prec@1 28.906 (29.122)	Prec@5 60.156 (57.919)
Epoch: [48][2610/7045]	Time 0.103 (0.250)	Data 0.001 (0.185)	Loss 2.8466 (3.0727)	Prec@1 32.031 (29.122)	Prec@5 65.234 (57.924)
Epoch: [48][2620/7045]	Time 0.180 (0.250)	Data 0.129 (0.185)	Loss 2.9447 (3.0726)	Prec@1 29.688 (29.126)	Prec@5 59.766 (57.927)
Epoch: [48][2630/7045]	Time 0.106 (0.249)	Data 0.054 (0.185)	Loss 2.9407 (3.0728)	Prec@1 31.250 (29.124)	Prec@5 60.156 (57.924)
Epoch: [48][2640/7045]	Time 0.107 (0.250)	Data 0.001 (0.185)	Loss 3.3343 (3.0729)	Prec@1 26.172 (29.124)	Prec@5 53.906 (57.926)
Epoch: [48][2650/7045]	Time 0.395 (0.250)	Data 0.344 (0.185)	Loss 3.1289 (3.0729)	Prec@1 28.125 (29.124)	Prec@5 60.156 (57.927)
Epoch: [48][2660/7045]	Time 0.130 (0.249)	Data 0.072 (0.185)	Loss 3.0769 (3.0727)	Prec@1 28.125 (29.123)	Prec@5 56.641 (57.928)
Epoch: [48][2670/7045]	Time 0.573 (0.250)	Data 0.523 (0.185)	Loss 3.1637 (3.0727)	Prec@1 25.391 (29.123)	Prec@5 55.859 (57.928)
Epoch: [48][2680/7045]	Time 0.138 (0.249)	Data 0.086 (0.185)	Loss 2.9812 (3.0727)	Prec@1 29.297 (29.121)	Prec@5 58.594 (57.926)
Epoch: [48][2690/7045]	Time 0.522 (0.250)	Data 0.470 (0.185)	Loss 2.8082 (3.0726)	Prec@1 32.422 (29.123)	Prec@5 63.281 (57.931)
Epoch: [48][2700/7045]	Time 0.182 (0.249)	Data 0.130 (0.185)	Loss 2.9427 (3.0727)	Prec@1 31.250 (29.121)	Prec@5 60.938 (57.925)
Epoch: [48][2710/7045]	Time 0.268 (0.249)	Data 0.218 (0.185)	Loss 3.0762 (3.0727)	Prec@1 29.688 (29.117)	Prec@5 57.031 (57.924)
Epoch: [48][2720/7045]	Time 0.122 (0.249)	Data 0.071 (0.185)	Loss 3.0111 (3.0726)	Prec@1 28.906 (29.117)	Prec@5 61.719 (57.926)
Epoch: [48][2730/7045]	Time 0.102 (0.249)	Data 0.008 (0.185)	Loss 3.0252 (3.0725)	Prec@1 31.641 (29.120)	Prec@5 58.203 (57.931)
Epoch: [48][2740/7045]	Time 0.174 (0.249)	Data 0.122 (0.185)	Loss 2.9876 (3.0727)	Prec@1 27.344 (29.117)	Prec@5 60.547 (57.925)
Epoch: [48][2750/7045]	Time 0.109 (0.249)	Data 0.005 (0.185)	Loss 3.2603 (3.0729)	Prec@1 24.609 (29.111)	Prec@5 56.641 (57.924)
Epoch: [48][2760/7045]	Time 0.374 (0.249)	Data 0.323 (0.185)	Loss 3.1565 (3.0733)	Prec@1 29.297 (29.104)	Prec@5 57.031 (57.918)
Epoch: [48][2770/7045]	Time 0.156 (0.249)	Data 0.106 (0.185)	Loss 2.9364 (3.0734)	Prec@1 30.078 (29.104)	Prec@5 60.938 (57.917)
Epoch: [48][2780/7045]	Time 0.273 (0.249)	Data 0.222 (0.185)	Loss 3.2135 (3.0736)	Prec@1 27.734 (29.099)	Prec@5 55.469 (57.913)
Epoch: [48][2790/7045]	Time 0.102 (0.249)	Data 0.006 (0.185)	Loss 3.1664 (3.0738)	Prec@1 28.125 (29.098)	Prec@5 56.250 (57.909)
Epoch: [48][2800/7045]	Time 0.142 (0.249)	Data 0.091 (0.185)	Loss 3.0576 (3.0737)	Prec@1 27.344 (29.101)	Prec@5 60.156 (57.911)
Epoch: [48][2810/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 2.9521 (3.0737)	Prec@1 34.766 (29.101)	Prec@5 59.375 (57.909)
Epoch: [48][2820/7045]	Time 0.097 (0.249)	Data 0.001 (0.185)	Loss 3.2001 (3.0740)	Prec@1 25.391 (29.096)	Prec@5 53.516 (57.906)
Epoch: [48][2830/7045]	Time 0.102 (0.249)	Data 0.006 (0.184)	Loss 2.8956 (3.0741)	Prec@1 33.203 (29.093)	Prec@5 61.719 (57.907)
Epoch: [48][2840/7045]	Time 0.109 (0.249)	Data 0.004 (0.184)	Loss 2.9982 (3.0743)	Prec@1 27.734 (29.087)	Prec@5 60.938 (57.905)
Epoch: [48][2850/7045]	Time 0.115 (0.249)	Data 0.064 (0.184)	Loss 3.0060 (3.0743)	Prec@1 27.734 (29.087)	Prec@5 60.938 (57.905)
Epoch: [48][2860/7045]	Time 0.102 (0.249)	Data 0.002 (0.184)	Loss 3.1063 (3.0743)	Prec@1 26.953 (29.089)	Prec@5 58.594 (57.905)
Epoch: [48][2870/7045]	Time 0.138 (0.249)	Data 0.087 (0.184)	Loss 3.1434 (3.0742)	Prec@1 28.516 (29.090)	Prec@5 57.031 (57.906)
Epoch: [48][2880/7045]	Time 0.103 (0.249)	Data 0.049 (0.184)	Loss 3.1360 (3.0744)	Prec@1 26.562 (29.088)	Prec@5 55.078 (57.902)
Epoch: [48][2890/7045]	Time 0.110 (0.249)	Data 0.014 (0.184)	Loss 3.1399 (3.0745)	Prec@1 29.297 (29.087)	Prec@5 58.594 (57.897)
Epoch: [48][2900/7045]	Time 0.107 (0.249)	Data 0.054 (0.184)	Loss 3.1202 (3.0747)	Prec@1 28.906 (29.089)	Prec@5 59.375 (57.893)
Epoch: [48][2910/7045]	Time 0.118 (0.249)	Data 0.066 (0.184)	Loss 3.1183 (3.0747)	Prec@1 27.734 (29.085)	Prec@5 54.688 (57.896)
Epoch: [48][2920/7045]	Time 0.551 (0.249)	Data 0.499 (0.184)	Loss 3.2461 (3.0748)	Prec@1 24.219 (29.082)	Prec@5 53.125 (57.894)
Epoch: [48][2930/7045]	Time 0.111 (0.249)	Data 0.005 (0.184)	Loss 3.0293 (3.0746)	Prec@1 31.641 (29.083)	Prec@5 58.203 (57.894)
Epoch: [48][2940/7045]	Time 0.215 (0.249)	Data 0.164 (0.184)	Loss 3.0954 (3.0745)	Prec@1 25.391 (29.085)	Prec@5 57.812 (57.898)
Epoch: [48][2950/7045]	Time 0.114 (0.249)	Data 0.062 (0.184)	Loss 3.2075 (3.0746)	Prec@1 28.516 (29.084)	Prec@5 53.906 (57.895)
Epoch: [48][2960/7045]	Time 0.254 (0.249)	Data 0.204 (0.184)	Loss 3.2434 (3.0747)	Prec@1 26.172 (29.083)	Prec@5 55.078 (57.892)
Epoch: [48][2970/7045]	Time 0.108 (0.249)	Data 0.055 (0.184)	Loss 3.0231 (3.0750)	Prec@1 30.469 (29.077)	Prec@5 57.812 (57.883)
Epoch: [48][2980/7045]	Time 0.568 (0.249)	Data 0.517 (0.184)	Loss 3.0783 (3.0751)	Prec@1 30.078 (29.076)	Prec@5 57.422 (57.882)
Epoch: [48][2990/7045]	Time 0.120 (0.249)	Data 0.068 (0.184)	Loss 3.0647 (3.0749)	Prec@1 27.734 (29.077)	Prec@5 55.859 (57.885)
Epoch: [48][3000/7045]	Time 0.476 (0.249)	Data 0.425 (0.184)	Loss 3.3008 (3.0747)	Prec@1 24.219 (29.077)	Prec@5 54.297 (57.885)
Epoch: [48][3010/7045]	Time 0.157 (0.249)	Data 0.107 (0.184)	Loss 3.1389 (3.0748)	Prec@1 25.781 (29.077)	Prec@5 57.422 (57.888)
Epoch: [48][3020/7045]	Time 0.288 (0.249)	Data 0.236 (0.184)	Loss 3.0713 (3.0749)	Prec@1 31.250 (29.074)	Prec@5 60.156 (57.884)
Epoch: [48][3030/7045]	Time 0.304 (0.249)	Data 0.253 (0.184)	Loss 3.2593 (3.0750)	Prec@1 29.688 (29.076)	Prec@5 55.469 (57.885)
Epoch: [48][3040/7045]	Time 0.159 (0.249)	Data 0.108 (0.184)	Loss 3.0720 (3.0750)	Prec@1 30.078 (29.072)	Prec@5 58.594 (57.884)
Epoch: [48][3050/7045]	Time 0.391 (0.249)	Data 0.340 (0.184)	Loss 3.0323 (3.0751)	Prec@1 25.000 (29.072)	Prec@5 59.375 (57.885)
Epoch: [48][3060/7045]	Time 0.177 (0.249)	Data 0.126 (0.184)	Loss 3.0793 (3.0752)	Prec@1 28.125 (29.070)	Prec@5 55.078 (57.881)
Epoch: [48][3070/7045]	Time 0.198 (0.249)	Data 0.147 (0.184)	Loss 3.2417 (3.0754)	Prec@1 21.484 (29.069)	Prec@5 55.078 (57.877)
Epoch: [48][3080/7045]	Time 0.122 (0.249)	Data 0.070 (0.184)	Loss 2.9932 (3.0754)	Prec@1 31.250 (29.070)	Prec@5 58.984 (57.877)
Epoch: [48][3090/7045]	Time 0.240 (0.249)	Data 0.183 (0.185)	Loss 3.0494 (3.0755)	Prec@1 27.344 (29.068)	Prec@5 58.984 (57.874)
Epoch: [48][3100/7045]	Time 0.475 (0.249)	Data 0.424 (0.185)	Loss 2.8207 (3.0755)	Prec@1 34.766 (29.070)	Prec@5 65.234 (57.876)
Epoch: [48][3110/7045]	Time 0.136 (0.249)	Data 0.084 (0.185)	Loss 2.9363 (3.0755)	Prec@1 33.984 (29.073)	Prec@5 61.719 (57.878)
Epoch: [48][3120/7045]	Time 0.482 (0.249)	Data 0.431 (0.185)	Loss 3.0793 (3.0755)	Prec@1 28.125 (29.074)	Prec@5 62.109 (57.879)
Epoch: [48][3130/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 3.0443 (3.0755)	Prec@1 28.125 (29.076)	Prec@5 58.984 (57.879)
Epoch: [48][3140/7045]	Time 0.101 (0.249)	Data 0.020 (0.185)	Loss 3.1548 (3.0756)	Prec@1 25.781 (29.073)	Prec@5 57.812 (57.878)
Epoch: [48][3150/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 3.0640 (3.0755)	Prec@1 28.516 (29.076)	Prec@5 59.766 (57.879)
Epoch: [48][3160/7045]	Time 0.218 (0.249)	Data 0.158 (0.185)	Loss 3.2099 (3.0757)	Prec@1 28.125 (29.075)	Prec@5 55.859 (57.881)
Epoch: [48][3170/7045]	Time 0.213 (0.249)	Data 0.162 (0.184)	Loss 3.0300 (3.0757)	Prec@1 28.125 (29.068)	Prec@5 61.328 (57.881)
Epoch: [48][3180/7045]	Time 0.243 (0.249)	Data 0.193 (0.185)	Loss 2.9172 (3.0757)	Prec@1 27.734 (29.068)	Prec@5 64.062 (57.882)
Epoch: [48][3190/7045]	Time 0.777 (0.249)	Data 0.727 (0.185)	Loss 2.7812 (3.0757)	Prec@1 31.641 (29.067)	Prec@5 64.062 (57.883)
Epoch: [48][3200/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 3.2370 (3.0757)	Prec@1 28.125 (29.066)	Prec@5 51.562 (57.884)
Epoch: [48][3210/7045]	Time 0.666 (0.249)	Data 0.614 (0.184)	Loss 2.9964 (3.0756)	Prec@1 32.031 (29.069)	Prec@5 60.547 (57.892)
Epoch: [48][3220/7045]	Time 0.104 (0.249)	Data 0.001 (0.184)	Loss 3.0049 (3.0753)	Prec@1 33.594 (29.073)	Prec@5 60.547 (57.899)
Epoch: [48][3230/7045]	Time 0.454 (0.249)	Data 0.404 (0.184)	Loss 3.2208 (3.0752)	Prec@1 29.297 (29.073)	Prec@5 56.250 (57.898)
Epoch: [48][3240/7045]	Time 0.140 (0.249)	Data 0.089 (0.184)	Loss 2.9358 (3.0750)	Prec@1 31.250 (29.080)	Prec@5 58.984 (57.901)
Epoch: [48][3250/7045]	Time 0.107 (0.249)	Data 0.001 (0.184)	Loss 3.1210 (3.0749)	Prec@1 27.734 (29.080)	Prec@5 57.812 (57.904)
Epoch: [48][3260/7045]	Time 0.106 (0.249)	Data 0.054 (0.184)	Loss 3.2622 (3.0749)	Prec@1 24.219 (29.080)	Prec@5 55.078 (57.906)
Epoch: [48][3270/7045]	Time 0.112 (0.249)	Data 0.004 (0.184)	Loss 3.1491 (3.0751)	Prec@1 28.125 (29.075)	Prec@5 57.031 (57.901)
Epoch: [48][3280/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 3.1075 (3.0751)	Prec@1 26.953 (29.075)	Prec@5 57.031 (57.898)
Epoch: [48][3290/7045]	Time 0.108 (0.249)	Data 0.001 (0.184)	Loss 3.1126 (3.0752)	Prec@1 30.859 (29.077)	Prec@5 53.906 (57.896)
Epoch: [48][3300/7045]	Time 0.240 (0.249)	Data 0.189 (0.184)	Loss 3.1147 (3.0753)	Prec@1 30.469 (29.075)	Prec@5 58.984 (57.894)
Epoch: [48][3310/7045]	Time 0.103 (0.249)	Data 0.001 (0.184)	Loss 3.1379 (3.0753)	Prec@1 26.562 (29.073)	Prec@5 56.641 (57.896)
Epoch: [48][3320/7045]	Time 0.413 (0.249)	Data 0.361 (0.184)	Loss 3.1824 (3.0755)	Prec@1 27.344 (29.074)	Prec@5 56.250 (57.894)
Epoch: [48][3330/7045]	Time 0.103 (0.249)	Data 0.049 (0.184)	Loss 3.0478 (3.0755)	Prec@1 26.953 (29.074)	Prec@5 55.469 (57.895)
Epoch: [48][3340/7045]	Time 0.706 (0.249)	Data 0.656 (0.184)	Loss 3.3034 (3.0756)	Prec@1 28.906 (29.074)	Prec@5 53.516 (57.893)
Epoch: [48][3350/7045]	Time 0.114 (0.249)	Data 0.063 (0.184)	Loss 3.0630 (3.0755)	Prec@1 30.078 (29.078)	Prec@5 59.375 (57.897)
Epoch: [48][3360/7045]	Time 0.624 (0.249)	Data 0.565 (0.184)	Loss 2.8373 (3.0753)	Prec@1 35.156 (29.080)	Prec@5 58.984 (57.897)
Epoch: [48][3370/7045]	Time 0.113 (0.249)	Data 0.062 (0.184)	Loss 3.1903 (3.0755)	Prec@1 25.000 (29.080)	Prec@5 56.250 (57.894)
Epoch: [48][3380/7045]	Time 0.503 (0.249)	Data 0.445 (0.184)	Loss 3.0316 (3.0756)	Prec@1 30.859 (29.081)	Prec@5 57.812 (57.887)
Epoch: [48][3390/7045]	Time 0.101 (0.249)	Data 0.050 (0.184)	Loss 3.1155 (3.0755)	Prec@1 28.516 (29.081)	Prec@5 58.594 (57.887)
Epoch: [48][3400/7045]	Time 0.162 (0.249)	Data 0.111 (0.184)	Loss 3.1203 (3.0756)	Prec@1 29.688 (29.080)	Prec@5 54.688 (57.889)
Epoch: [48][3410/7045]	Time 0.132 (0.249)	Data 0.080 (0.184)	Loss 3.1942 (3.0756)	Prec@1 28.906 (29.079)	Prec@5 53.125 (57.888)
Epoch: [48][3420/7045]	Time 0.102 (0.249)	Data 0.004 (0.184)	Loss 3.2415 (3.0757)	Prec@1 26.953 (29.077)	Prec@5 55.078 (57.891)
Epoch: [48][3430/7045]	Time 0.165 (0.249)	Data 0.114 (0.184)	Loss 3.1024 (3.0757)	Prec@1 32.031 (29.080)	Prec@5 55.078 (57.889)
Epoch: [48][3440/7045]	Time 0.315 (0.249)	Data 0.255 (0.184)	Loss 3.2214 (3.0758)	Prec@1 26.953 (29.075)	Prec@5 53.516 (57.887)
Epoch: [48][3450/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 3.0673 (3.0757)	Prec@1 26.953 (29.078)	Prec@5 57.422 (57.889)
Epoch: [48][3460/7045]	Time 0.196 (0.249)	Data 0.145 (0.184)	Loss 2.8226 (3.0757)	Prec@1 35.156 (29.078)	Prec@5 62.891 (57.886)
Epoch: [48][3470/7045]	Time 0.275 (0.249)	Data 0.221 (0.184)	Loss 3.0778 (3.0757)	Prec@1 28.906 (29.079)	Prec@5 55.469 (57.884)
Epoch: [48][3480/7045]	Time 0.208 (0.249)	Data 0.157 (0.184)	Loss 3.1452 (3.0757)	Prec@1 26.562 (29.077)	Prec@5 57.422 (57.884)
Epoch: [48][3490/7045]	Time 0.377 (0.249)	Data 0.326 (0.184)	Loss 2.8807 (3.0758)	Prec@1 32.031 (29.075)	Prec@5 60.547 (57.883)
Epoch: [48][3500/7045]	Time 0.103 (0.249)	Data 0.001 (0.184)	Loss 3.1418 (3.0758)	Prec@1 26.953 (29.076)	Prec@5 55.078 (57.883)
Epoch: [48][3510/7045]	Time 0.106 (0.249)	Data 0.001 (0.184)	Loss 2.8370 (3.0759)	Prec@1 31.641 (29.076)	Prec@5 60.156 (57.879)
Epoch: [48][3520/7045]	Time 0.640 (0.249)	Data 0.581 (0.184)	Loss 2.9305 (3.0759)	Prec@1 34.375 (29.076)	Prec@5 60.547 (57.883)
Epoch: [48][3530/7045]	Time 0.174 (0.249)	Data 0.121 (0.184)	Loss 2.8816 (3.0758)	Prec@1 31.250 (29.078)	Prec@5 64.062 (57.885)
Epoch: [48][3540/7045]	Time 0.372 (0.249)	Data 0.321 (0.184)	Loss 3.0133 (3.0758)	Prec@1 28.516 (29.077)	Prec@5 57.422 (57.887)
Epoch: [48][3550/7045]	Time 0.103 (0.249)	Data 0.001 (0.184)	Loss 2.8598 (3.0758)	Prec@1 32.422 (29.075)	Prec@5 61.719 (57.891)
Epoch: [48][3560/7045]	Time 0.171 (0.249)	Data 0.120 (0.184)	Loss 3.1186 (3.0759)	Prec@1 29.688 (29.077)	Prec@5 57.812 (57.887)
Epoch: [48][3570/7045]	Time 0.187 (0.249)	Data 0.137 (0.184)	Loss 3.2805 (3.0761)	Prec@1 30.078 (29.079)	Prec@5 55.469 (57.883)
Epoch: [48][3580/7045]	Time 0.101 (0.249)	Data 0.003 (0.184)	Loss 3.0067 (3.0763)	Prec@1 32.422 (29.076)	Prec@5 55.859 (57.878)
Epoch: [48][3590/7045]	Time 0.153 (0.249)	Data 0.100 (0.184)	Loss 2.9699 (3.0761)	Prec@1 33.203 (29.079)	Prec@5 60.938 (57.883)
Epoch: [48][3600/7045]	Time 0.102 (0.249)	Data 0.006 (0.184)	Loss 3.0083 (3.0762)	Prec@1 29.297 (29.077)	Prec@5 57.031 (57.881)
Epoch: [48][3610/7045]	Time 0.555 (0.249)	Data 0.503 (0.184)	Loss 3.1395 (3.0763)	Prec@1 28.906 (29.079)	Prec@5 58.984 (57.880)
Epoch: [48][3620/7045]	Time 0.322 (0.249)	Data 0.264 (0.184)	Loss 3.1176 (3.0763)	Prec@1 26.172 (29.078)	Prec@5 55.859 (57.878)
Epoch: [48][3630/7045]	Time 0.315 (0.249)	Data 0.263 (0.184)	Loss 3.1087 (3.0762)	Prec@1 29.688 (29.082)	Prec@5 59.375 (57.882)
Epoch: [48][3640/7045]	Time 0.419 (0.249)	Data 0.369 (0.184)	Loss 3.0705 (3.0761)	Prec@1 31.250 (29.083)	Prec@5 60.547 (57.883)
Epoch: [48][3650/7045]	Time 0.100 (0.249)	Data 0.003 (0.184)	Loss 2.7850 (3.0761)	Prec@1 33.984 (29.085)	Prec@5 64.453 (57.884)
Epoch: [48][3660/7045]	Time 0.101 (0.249)	Data 0.050 (0.184)	Loss 3.0471 (3.0762)	Prec@1 26.562 (29.080)	Prec@5 61.719 (57.880)
Epoch: [48][3670/7045]	Time 0.102 (0.249)	Data 0.013 (0.184)	Loss 3.0822 (3.0762)	Prec@1 31.250 (29.079)	Prec@5 60.547 (57.881)
Epoch: [48][3680/7045]	Time 0.199 (0.249)	Data 0.148 (0.184)	Loss 3.0501 (3.0761)	Prec@1 27.734 (29.079)	Prec@5 55.859 (57.879)
Epoch: [48][3690/7045]	Time 0.122 (0.249)	Data 0.070 (0.184)	Loss 3.2056 (3.0761)	Prec@1 25.781 (29.078)	Prec@5 56.250 (57.878)
Epoch: [48][3700/7045]	Time 0.339 (0.249)	Data 0.289 (0.184)	Loss 3.1870 (3.0763)	Prec@1 27.344 (29.075)	Prec@5 53.516 (57.873)
Epoch: [48][3710/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 2.8989 (3.0762)	Prec@1 32.031 (29.076)	Prec@5 60.547 (57.877)
Epoch: [48][3720/7045]	Time 0.137 (0.249)	Data 0.085 (0.184)	Loss 3.0788 (3.0759)	Prec@1 26.562 (29.078)	Prec@5 59.375 (57.885)
Epoch: [48][3730/7045]	Time 0.305 (0.249)	Data 0.247 (0.184)	Loss 2.9596 (3.0759)	Prec@1 32.422 (29.080)	Prec@5 60.547 (57.888)
Epoch: [48][3740/7045]	Time 0.113 (0.249)	Data 0.063 (0.184)	Loss 3.1443 (3.0761)	Prec@1 28.906 (29.078)	Prec@5 58.594 (57.885)
Epoch: [48][3750/7045]	Time 0.287 (0.249)	Data 0.237 (0.184)	Loss 3.0941 (3.0763)	Prec@1 28.906 (29.078)	Prec@5 58.594 (57.881)
Epoch: [48][3760/7045]	Time 0.193 (0.249)	Data 0.143 (0.184)	Loss 3.2040 (3.0764)	Prec@1 28.125 (29.072)	Prec@5 55.078 (57.879)
Epoch: [48][3770/7045]	Time 0.719 (0.249)	Data 0.667 (0.184)	Loss 3.1239 (3.0763)	Prec@1 28.516 (29.074)	Prec@5 53.906 (57.879)
Epoch: [48][3780/7045]	Time 0.106 (0.249)	Data 0.055 (0.184)	Loss 3.1411 (3.0764)	Prec@1 25.391 (29.074)	Prec@5 58.984 (57.878)
Epoch: [48][3790/7045]	Time 0.270 (0.249)	Data 0.220 (0.184)	Loss 3.0818 (3.0764)	Prec@1 31.250 (29.075)	Prec@5 56.250 (57.875)
Epoch: [48][3800/7045]	Time 0.305 (0.249)	Data 0.254 (0.184)	Loss 2.8857 (3.0765)	Prec@1 30.859 (29.073)	Prec@5 62.500 (57.873)
Epoch: [48][3810/7045]	Time 0.110 (0.249)	Data 0.058 (0.184)	Loss 2.9200 (3.0764)	Prec@1 27.734 (29.076)	Prec@5 60.156 (57.871)
Epoch: [48][3820/7045]	Time 0.428 (0.249)	Data 0.376 (0.184)	Loss 3.2964 (3.0765)	Prec@1 25.000 (29.076)	Prec@5 54.297 (57.870)
Epoch: [48][3830/7045]	Time 0.391 (0.249)	Data 0.331 (0.184)	Loss 2.9262 (3.0765)	Prec@1 28.906 (29.076)	Prec@5 61.719 (57.869)
Epoch: [48][3840/7045]	Time 0.318 (0.249)	Data 0.266 (0.184)	Loss 3.2765 (3.0764)	Prec@1 20.703 (29.078)	Prec@5 53.906 (57.869)
Epoch: [48][3850/7045]	Time 0.334 (0.249)	Data 0.283 (0.184)	Loss 3.0449 (3.0765)	Prec@1 30.078 (29.078)	Prec@5 55.859 (57.866)
Epoch: [48][3860/7045]	Time 0.101 (0.249)	Data 0.006 (0.184)	Loss 3.2292 (3.0765)	Prec@1 29.297 (29.083)	Prec@5 57.031 (57.864)
Epoch: [48][3870/7045]	Time 0.324 (0.249)	Data 0.273 (0.184)	Loss 3.1683 (3.0766)	Prec@1 25.391 (29.079)	Prec@5 56.641 (57.859)
Epoch: [48][3880/7045]	Time 0.109 (0.249)	Data 0.058 (0.184)	Loss 3.0102 (3.0767)	Prec@1 29.688 (29.078)	Prec@5 58.984 (57.857)
Epoch: [48][3890/7045]	Time 0.107 (0.249)	Data 0.005 (0.184)	Loss 3.1707 (3.0768)	Prec@1 25.391 (29.077)	Prec@5 53.906 (57.855)
Epoch: [48][3900/7045]	Time 0.687 (0.249)	Data 0.636 (0.184)	Loss 2.9858 (3.0768)	Prec@1 32.812 (29.079)	Prec@5 58.984 (57.854)
Epoch: [48][3910/7045]	Time 0.184 (0.249)	Data 0.132 (0.184)	Loss 2.9892 (3.0770)	Prec@1 32.422 (29.078)	Prec@5 57.031 (57.850)
Epoch: [48][3920/7045]	Time 0.219 (0.249)	Data 0.169 (0.184)	Loss 3.0540 (3.0770)	Prec@1 29.688 (29.079)	Prec@5 58.984 (57.849)
Epoch: [48][3930/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 3.1202 (3.0770)	Prec@1 29.688 (29.081)	Prec@5 51.953 (57.847)
Epoch: [48][3940/7045]	Time 0.156 (0.249)	Data 0.104 (0.184)	Loss 3.3078 (3.0768)	Prec@1 27.734 (29.082)	Prec@5 52.344 (57.851)
Epoch: [48][3950/7045]	Time 0.163 (0.249)	Data 0.112 (0.184)	Loss 2.9686 (3.0768)	Prec@1 31.641 (29.082)	Prec@5 60.156 (57.849)
Epoch: [48][3960/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 3.0668 (3.0768)	Prec@1 29.297 (29.082)	Prec@5 60.156 (57.850)
Epoch: [48][3970/7045]	Time 0.314 (0.249)	Data 0.261 (0.184)	Loss 3.1180 (3.0767)	Prec@1 26.953 (29.083)	Prec@5 55.078 (57.848)
Epoch: [48][3980/7045]	Time 0.335 (0.249)	Data 0.284 (0.184)	Loss 3.1025 (3.0769)	Prec@1 25.000 (29.078)	Prec@5 53.906 (57.845)
Epoch: [48][3990/7045]	Time 0.102 (0.249)	Data 0.016 (0.184)	Loss 2.7914 (3.0767)	Prec@1 39.062 (29.082)	Prec@5 60.547 (57.850)
Epoch: [48][4000/7045]	Time 0.565 (0.249)	Data 0.514 (0.184)	Loss 3.3531 (3.0769)	Prec@1 28.516 (29.080)	Prec@5 51.953 (57.849)
Epoch: [48][4010/7045]	Time 0.101 (0.249)	Data 0.003 (0.184)	Loss 3.1148 (3.0770)	Prec@1 30.859 (29.082)	Prec@5 52.734 (57.847)
Epoch: [48][4020/7045]	Time 0.604 (0.249)	Data 0.553 (0.184)	Loss 3.1737 (3.0770)	Prec@1 25.000 (29.079)	Prec@5 57.031 (57.846)
Epoch: [48][4030/7045]	Time 0.307 (0.249)	Data 0.255 (0.184)	Loss 3.0857 (3.0770)	Prec@1 32.422 (29.077)	Prec@5 58.203 (57.845)
Epoch: [48][4040/7045]	Time 0.230 (0.249)	Data 0.178 (0.184)	Loss 2.9430 (3.0768)	Prec@1 33.984 (29.082)	Prec@5 59.375 (57.850)
Epoch: [48][4050/7045]	Time 0.249 (0.249)	Data 0.198 (0.184)	Loss 3.0192 (3.0768)	Prec@1 28.906 (29.082)	Prec@5 58.984 (57.849)
Epoch: [48][4060/7045]	Time 0.200 (0.249)	Data 0.149 (0.184)	Loss 3.0526 (3.0768)	Prec@1 25.391 (29.081)	Prec@5 57.031 (57.850)
Epoch: [48][4070/7045]	Time 0.110 (0.249)	Data 0.059 (0.184)	Loss 2.8986 (3.0768)	Prec@1 27.734 (29.081)	Prec@5 61.328 (57.854)
Epoch: [48][4080/7045]	Time 0.422 (0.249)	Data 0.371 (0.184)	Loss 3.0288 (3.0767)	Prec@1 29.688 (29.083)	Prec@5 58.984 (57.856)
Epoch: [48][4090/7045]	Time 0.134 (0.249)	Data 0.083 (0.184)	Loss 3.0165 (3.0767)	Prec@1 26.562 (29.083)	Prec@5 57.031 (57.857)
Epoch: [48][4100/7045]	Time 0.109 (0.249)	Data 0.001 (0.184)	Loss 3.2039 (3.0766)	Prec@1 25.000 (29.079)	Prec@5 55.859 (57.857)
Epoch: [48][4110/7045]	Time 0.106 (0.249)	Data 0.055 (0.184)	Loss 3.3036 (3.0767)	Prec@1 25.781 (29.081)	Prec@5 50.781 (57.853)
Epoch: [48][4120/7045]	Time 0.182 (0.249)	Data 0.129 (0.184)	Loss 3.0185 (3.0767)	Prec@1 28.516 (29.080)	Prec@5 59.766 (57.853)
Epoch: [48][4130/7045]	Time 0.104 (0.249)	Data 0.001 (0.184)	Loss 3.1514 (3.0767)	Prec@1 28.906 (29.081)	Prec@5 55.078 (57.854)
Epoch: [48][4140/7045]	Time 0.295 (0.249)	Data 0.235 (0.184)	Loss 3.0490 (3.0766)	Prec@1 30.078 (29.081)	Prec@5 56.250 (57.853)
Epoch: [48][4150/7045]	Time 0.248 (0.249)	Data 0.197 (0.184)	Loss 3.0423 (3.0765)	Prec@1 33.203 (29.085)	Prec@5 54.688 (57.855)
Epoch: [48][4160/7045]	Time 0.263 (0.249)	Data 0.202 (0.184)	Loss 2.9750 (3.0766)	Prec@1 30.859 (29.084)	Prec@5 61.328 (57.855)
Epoch: [48][4170/7045]	Time 0.743 (0.249)	Data 0.692 (0.184)	Loss 2.8592 (3.0764)	Prec@1 33.203 (29.087)	Prec@5 62.891 (57.858)
Epoch: [48][4180/7045]	Time 0.147 (0.249)	Data 0.096 (0.184)	Loss 2.9635 (3.0762)	Prec@1 34.766 (29.092)	Prec@5 60.156 (57.862)
Epoch: [48][4190/7045]	Time 0.733 (0.249)	Data 0.674 (0.184)	Loss 3.0450 (3.0763)	Prec@1 28.125 (29.090)	Prec@5 57.422 (57.861)
Epoch: [48][4200/7045]	Time 0.105 (0.249)	Data 0.051 (0.184)	Loss 3.2701 (3.0763)	Prec@1 24.609 (29.087)	Prec@5 55.078 (57.863)
Epoch: [48][4210/7045]	Time 0.192 (0.249)	Data 0.141 (0.184)	Loss 2.9643 (3.0762)	Prec@1 30.469 (29.088)	Prec@5 58.203 (57.861)
Epoch: [48][4220/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 3.1990 (3.0762)	Prec@1 30.469 (29.091)	Prec@5 54.688 (57.862)
Epoch: [48][4230/7045]	Time 0.102 (0.249)	Data 0.012 (0.184)	Loss 3.0057 (3.0761)	Prec@1 31.250 (29.090)	Prec@5 58.203 (57.862)
Epoch: [48][4240/7045]	Time 0.190 (0.249)	Data 0.139 (0.184)	Loss 2.9117 (3.0760)	Prec@1 28.516 (29.091)	Prec@5 59.766 (57.865)
Epoch: [48][4250/7045]	Time 0.136 (0.249)	Data 0.085 (0.184)	Loss 2.9056 (3.0759)	Prec@1 32.031 (29.091)	Prec@5 62.500 (57.867)
Epoch: [48][4260/7045]	Time 0.191 (0.249)	Data 0.139 (0.184)	Loss 2.9761 (3.0758)	Prec@1 30.078 (29.091)	Prec@5 59.766 (57.868)
Epoch: [48][4270/7045]	Time 0.101 (0.249)	Data 0.014 (0.184)	Loss 3.1205 (3.0757)	Prec@1 28.906 (29.090)	Prec@5 56.250 (57.873)
Epoch: [48][4280/7045]	Time 0.186 (0.249)	Data 0.133 (0.184)	Loss 2.8893 (3.0757)	Prec@1 33.594 (29.089)	Prec@5 63.672 (57.876)
Epoch: [48][4290/7045]	Time 0.102 (0.249)	Data 0.008 (0.184)	Loss 2.9822 (3.0757)	Prec@1 30.078 (29.090)	Prec@5 63.281 (57.876)
Epoch: [48][4300/7045]	Time 0.221 (0.249)	Data 0.169 (0.184)	Loss 3.0083 (3.0756)	Prec@1 29.297 (29.091)	Prec@5 57.031 (57.877)
Epoch: [48][4310/7045]	Time 0.186 (0.249)	Data 0.135 (0.184)	Loss 2.9816 (3.0755)	Prec@1 26.172 (29.092)	Prec@5 58.203 (57.880)
Epoch: [48][4320/7045]	Time 0.437 (0.249)	Data 0.379 (0.184)	Loss 3.1299 (3.0757)	Prec@1 27.734 (29.091)	Prec@5 56.250 (57.879)
Epoch: [48][4330/7045]	Time 0.104 (0.249)	Data 0.001 (0.184)	Loss 3.0464 (3.0758)	Prec@1 28.125 (29.088)	Prec@5 60.938 (57.879)
Epoch: [48][4340/7045]	Time 0.323 (0.249)	Data 0.263 (0.184)	Loss 3.1389 (3.0757)	Prec@1 27.734 (29.087)	Prec@5 54.297 (57.879)
Epoch: [48][4350/7045]	Time 0.522 (0.249)	Data 0.472 (0.184)	Loss 3.0254 (3.0756)	Prec@1 26.172 (29.085)	Prec@5 60.156 (57.883)
Epoch: [48][4360/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 3.0035 (3.0758)	Prec@1 28.125 (29.080)	Prec@5 57.812 (57.879)
Epoch: [48][4370/7045]	Time 0.281 (0.249)	Data 0.230 (0.184)	Loss 2.9146 (3.0758)	Prec@1 31.250 (29.080)	Prec@5 61.328 (57.880)
Epoch: [48][4380/7045]	Time 0.141 (0.249)	Data 0.083 (0.184)	Loss 3.1245 (3.0758)	Prec@1 30.859 (29.080)	Prec@5 51.562 (57.878)
Epoch: [48][4390/7045]	Time 0.128 (0.249)	Data 0.075 (0.184)	Loss 2.9689 (3.0757)	Prec@1 33.203 (29.080)	Prec@5 57.422 (57.881)
Epoch: [48][4400/7045]	Time 0.104 (0.249)	Data 0.052 (0.184)	Loss 3.2283 (3.0757)	Prec@1 26.953 (29.080)	Prec@5 57.031 (57.881)
Epoch: [48][4410/7045]	Time 0.182 (0.249)	Data 0.130 (0.184)	Loss 3.0973 (3.0757)	Prec@1 29.688 (29.081)	Prec@5 53.516 (57.878)
Epoch: [48][4420/7045]	Time 0.184 (0.249)	Data 0.132 (0.184)	Loss 3.1266 (3.0758)	Prec@1 28.906 (29.078)	Prec@5 55.078 (57.878)
Epoch: [48][4430/7045]	Time 0.102 (0.249)	Data 0.050 (0.184)	Loss 2.9865 (3.0758)	Prec@1 29.688 (29.080)	Prec@5 60.547 (57.878)
Epoch: [48][4440/7045]	Time 0.110 (0.249)	Data 0.057 (0.184)	Loss 3.1653 (3.0759)	Prec@1 26.172 (29.079)	Prec@5 55.859 (57.879)
Epoch: [48][4450/7045]	Time 0.117 (0.249)	Data 0.065 (0.184)	Loss 3.1270 (3.0759)	Prec@1 26.953 (29.079)	Prec@5 56.250 (57.877)
Epoch: [48][4460/7045]	Time 0.147 (0.249)	Data 0.095 (0.184)	Loss 3.2221 (3.0761)	Prec@1 30.078 (29.077)	Prec@5 53.516 (57.876)
Epoch: [48][4470/7045]	Time 0.207 (0.249)	Data 0.156 (0.184)	Loss 3.1130 (3.0761)	Prec@1 29.297 (29.077)	Prec@5 57.812 (57.873)
Epoch: [48][4480/7045]	Time 0.186 (0.249)	Data 0.133 (0.184)	Loss 3.2605 (3.0763)	Prec@1 25.781 (29.076)	Prec@5 53.906 (57.869)
Epoch: [48][4490/7045]	Time 0.174 (0.249)	Data 0.123 (0.184)	Loss 3.2483 (3.0765)	Prec@1 24.219 (29.073)	Prec@5 54.688 (57.866)
Epoch: [48][4500/7045]	Time 0.236 (0.249)	Data 0.185 (0.184)	Loss 3.4150 (3.0767)	Prec@1 26.562 (29.073)	Prec@5 50.000 (57.861)
Epoch: [48][4510/7045]	Time 0.110 (0.249)	Data 0.058 (0.184)	Loss 3.0020 (3.0766)	Prec@1 32.031 (29.076)	Prec@5 59.375 (57.862)
Epoch: [48][4520/7045]	Time 0.109 (0.249)	Data 0.058 (0.184)	Loss 3.0088 (3.0767)	Prec@1 26.953 (29.075)	Prec@5 58.594 (57.861)
Epoch: [48][4530/7045]	Time 0.102 (0.249)	Data 0.016 (0.184)	Loss 2.9055 (3.0768)	Prec@1 30.469 (29.071)	Prec@5 64.453 (57.855)
Epoch: [48][4540/7045]	Time 0.102 (0.249)	Data 0.004 (0.184)	Loss 3.0305 (3.0768)	Prec@1 25.391 (29.071)	Prec@5 58.203 (57.856)
Epoch: [48][4550/7045]	Time 0.104 (0.249)	Data 0.014 (0.184)	Loss 2.9284 (3.0766)	Prec@1 32.812 (29.072)	Prec@5 60.547 (57.859)
Epoch: [48][4560/7045]	Time 0.389 (0.249)	Data 0.338 (0.184)	Loss 3.0751 (3.0766)	Prec@1 28.516 (29.074)	Prec@5 58.984 (57.859)
Epoch: [48][4570/7045]	Time 0.348 (0.249)	Data 0.297 (0.184)	Loss 2.6998 (3.0764)	Prec@1 33.984 (29.076)	Prec@5 64.453 (57.864)
Epoch: [48][4580/7045]	Time 0.212 (0.249)	Data 0.161 (0.184)	Loss 2.8911 (3.0764)	Prec@1 32.422 (29.075)	Prec@5 60.156 (57.863)
Epoch: [48][4590/7045]	Time 0.191 (0.249)	Data 0.140 (0.184)	Loss 3.0169 (3.0764)	Prec@1 25.781 (29.072)	Prec@5 60.938 (57.863)
Epoch: [48][4600/7045]	Time 0.112 (0.249)	Data 0.061 (0.184)	Loss 3.2151 (3.0763)	Prec@1 28.906 (29.074)	Prec@5 53.906 (57.864)
Epoch: [48][4610/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 3.0510 (3.0763)	Prec@1 26.172 (29.075)	Prec@5 55.078 (57.863)
Epoch: [48][4620/7045]	Time 0.165 (0.249)	Data 0.114 (0.184)	Loss 3.2303 (3.0763)	Prec@1 28.516 (29.075)	Prec@5 52.734 (57.863)
Epoch: [48][4630/7045]	Time 0.291 (0.249)	Data 0.241 (0.185)	Loss 3.0615 (3.0763)	Prec@1 31.250 (29.077)	Prec@5 59.375 (57.863)
Epoch: [48][4640/7045]	Time 0.229 (0.249)	Data 0.178 (0.185)	Loss 3.0198 (3.0764)	Prec@1 29.688 (29.074)	Prec@5 57.031 (57.862)
Epoch: [48][4650/7045]	Time 0.251 (0.249)	Data 0.201 (0.185)	Loss 3.0236 (3.0764)	Prec@1 32.812 (29.075)	Prec@5 60.938 (57.863)
Epoch: [48][4660/7045]	Time 0.358 (0.249)	Data 0.308 (0.185)	Loss 3.1490 (3.0764)	Prec@1 28.906 (29.074)	Prec@5 54.297 (57.863)
Epoch: [48][4670/7045]	Time 0.430 (0.249)	Data 0.379 (0.185)	Loss 2.9585 (3.0763)	Prec@1 28.516 (29.073)	Prec@5 58.984 (57.864)
Epoch: [48][4680/7045]	Time 0.143 (0.249)	Data 0.092 (0.185)	Loss 3.2640 (3.0765)	Prec@1 29.297 (29.069)	Prec@5 57.422 (57.861)
Epoch: [48][4690/7045]	Time 0.181 (0.249)	Data 0.130 (0.184)	Loss 3.1476 (3.0765)	Prec@1 26.172 (29.068)	Prec@5 55.469 (57.863)
Epoch: [48][4700/7045]	Time 0.157 (0.249)	Data 0.105 (0.185)	Loss 3.1600 (3.0764)	Prec@1 27.344 (29.068)	Prec@5 58.984 (57.864)
Epoch: [48][4710/7045]	Time 0.125 (0.249)	Data 0.073 (0.184)	Loss 3.2123 (3.0765)	Prec@1 22.656 (29.065)	Prec@5 51.172 (57.863)
Epoch: [48][4720/7045]	Time 0.310 (0.249)	Data 0.257 (0.185)	Loss 3.1727 (3.0766)	Prec@1 26.562 (29.062)	Prec@5 55.859 (57.861)
Epoch: [48][4730/7045]	Time 0.101 (0.249)	Data 0.012 (0.185)	Loss 2.8447 (3.0765)	Prec@1 33.984 (29.062)	Prec@5 65.625 (57.865)
Epoch: [48][4740/7045]	Time 0.317 (0.249)	Data 0.266 (0.185)	Loss 3.1264 (3.0764)	Prec@1 25.000 (29.062)	Prec@5 54.688 (57.867)
Epoch: [48][4750/7045]	Time 0.101 (0.249)	Data 0.013 (0.185)	Loss 2.9946 (3.0764)	Prec@1 26.953 (29.060)	Prec@5 59.375 (57.866)
Epoch: [48][4760/7045]	Time 0.201 (0.249)	Data 0.150 (0.185)	Loss 3.0006 (3.0763)	Prec@1 28.516 (29.061)	Prec@5 57.812 (57.868)
Epoch: [48][4770/7045]	Time 0.394 (0.249)	Data 0.341 (0.185)	Loss 3.1946 (3.0762)	Prec@1 28.516 (29.065)	Prec@5 55.078 (57.871)
Epoch: [48][4780/7045]	Time 0.101 (0.249)	Data 0.046 (0.185)	Loss 3.0750 (3.0764)	Prec@1 28.906 (29.063)	Prec@5 60.547 (57.870)
Epoch: [48][4790/7045]	Time 0.479 (0.249)	Data 0.422 (0.185)	Loss 3.1139 (3.0764)	Prec@1 31.641 (29.062)	Prec@5 58.594 (57.871)
Epoch: [48][4800/7045]	Time 0.180 (0.249)	Data 0.122 (0.185)	Loss 3.0147 (3.0764)	Prec@1 30.859 (29.062)	Prec@5 57.031 (57.869)
Epoch: [48][4810/7045]	Time 0.278 (0.249)	Data 0.228 (0.185)	Loss 3.0536 (3.0764)	Prec@1 30.078 (29.062)	Prec@5 58.594 (57.870)
Epoch: [48][4820/7045]	Time 0.103 (0.249)	Data 0.001 (0.185)	Loss 3.1069 (3.0763)	Prec@1 26.562 (29.061)	Prec@5 56.250 (57.871)
Epoch: [48][4830/7045]	Time 0.127 (0.249)	Data 0.075 (0.184)	Loss 3.0479 (3.0763)	Prec@1 28.516 (29.061)	Prec@5 57.031 (57.870)
Epoch: [48][4840/7045]	Time 0.108 (0.249)	Data 0.001 (0.185)	Loss 3.0919 (3.0763)	Prec@1 30.078 (29.063)	Prec@5 59.375 (57.874)
Epoch: [48][4850/7045]	Time 0.103 (0.249)	Data 0.001 (0.184)	Loss 3.2116 (3.0764)	Prec@1 32.812 (29.064)	Prec@5 57.031 (57.875)
Epoch: [48][4860/7045]	Time 0.102 (0.249)	Data 0.005 (0.184)	Loss 3.1909 (3.0764)	Prec@1 26.562 (29.066)	Prec@5 56.250 (57.876)
Epoch: [48][4870/7045]	Time 0.197 (0.249)	Data 0.145 (0.184)	Loss 2.9192 (3.0761)	Prec@1 31.641 (29.070)	Prec@5 62.109 (57.880)
Epoch: [48][4880/7045]	Time 0.103 (0.249)	Data 0.001 (0.184)	Loss 3.3344 (3.0762)	Prec@1 24.219 (29.070)	Prec@5 52.734 (57.879)
Epoch: [48][4890/7045]	Time 0.100 (0.249)	Data 0.012 (0.184)	Loss 3.2034 (3.0763)	Prec@1 26.562 (29.070)	Prec@5 54.688 (57.877)
Epoch: [48][4900/7045]	Time 0.208 (0.249)	Data 0.156 (0.184)	Loss 2.9830 (3.0761)	Prec@1 30.078 (29.072)	Prec@5 60.938 (57.881)
Epoch: [48][4910/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 3.3343 (3.0763)	Prec@1 26.172 (29.069)	Prec@5 54.688 (57.876)
Epoch: [48][4920/7045]	Time 0.173 (0.249)	Data 0.122 (0.184)	Loss 3.2051 (3.0762)	Prec@1 29.297 (29.072)	Prec@5 53.906 (57.878)
Epoch: [48][4930/7045]	Time 0.102 (0.249)	Data 0.017 (0.184)	Loss 3.3484 (3.0764)	Prec@1 24.609 (29.068)	Prec@5 51.172 (57.875)
Epoch: [48][4940/7045]	Time 0.304 (0.249)	Data 0.252 (0.184)	Loss 3.1465 (3.0763)	Prec@1 28.125 (29.069)	Prec@5 57.812 (57.874)
Epoch: [48][4950/7045]	Time 0.249 (0.249)	Data 0.196 (0.184)	Loss 2.9621 (3.0764)	Prec@1 33.594 (29.069)	Prec@5 60.938 (57.874)
Epoch: [48][4960/7045]	Time 0.329 (0.249)	Data 0.278 (0.184)	Loss 3.0378 (3.0763)	Prec@1 28.516 (29.069)	Prec@5 57.422 (57.874)
Epoch: [48][4970/7045]	Time 0.599 (0.249)	Data 0.546 (0.184)	Loss 2.8541 (3.0762)	Prec@1 31.641 (29.071)	Prec@5 60.156 (57.876)
Epoch: [48][4980/7045]	Time 0.229 (0.249)	Data 0.167 (0.184)	Loss 3.2059 (3.0763)	Prec@1 25.391 (29.072)	Prec@5 52.734 (57.876)
Epoch: [48][4990/7045]	Time 0.689 (0.249)	Data 0.638 (0.184)	Loss 3.0351 (3.0763)	Prec@1 30.078 (29.071)	Prec@5 62.109 (57.876)
Epoch: [48][5000/7045]	Time 0.121 (0.249)	Data 0.071 (0.184)	Loss 3.2551 (3.0763)	Prec@1 26.172 (29.069)	Prec@5 51.953 (57.875)
Epoch: [48][5010/7045]	Time 0.584 (0.249)	Data 0.532 (0.184)	Loss 3.1761 (3.0763)	Prec@1 28.906 (29.069)	Prec@5 55.859 (57.876)
Epoch: [48][5020/7045]	Time 0.108 (0.249)	Data 0.019 (0.184)	Loss 3.1995 (3.0763)	Prec@1 25.391 (29.066)	Prec@5 56.250 (57.876)
Epoch: [48][5030/7045]	Time 0.352 (0.249)	Data 0.300 (0.184)	Loss 3.0353 (3.0763)	Prec@1 28.906 (29.064)	Prec@5 61.328 (57.877)
Epoch: [48][5040/7045]	Time 0.184 (0.249)	Data 0.133 (0.184)	Loss 3.0355 (3.0764)	Prec@1 30.078 (29.064)	Prec@5 60.547 (57.877)
Epoch: [48][5050/7045]	Time 0.102 (0.249)	Data 0.049 (0.184)	Loss 3.3041 (3.0763)	Prec@1 27.344 (29.064)	Prec@5 53.125 (57.876)
Epoch: [48][5060/7045]	Time 0.118 (0.249)	Data 0.066 (0.184)	Loss 3.0089 (3.0763)	Prec@1 28.125 (29.064)	Prec@5 57.422 (57.876)
Epoch: [48][5070/7045]	Time 0.160 (0.249)	Data 0.108 (0.184)	Loss 3.0456 (3.0764)	Prec@1 28.906 (29.062)	Prec@5 59.766 (57.874)
Epoch: [48][5080/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 3.3435 (3.0765)	Prec@1 25.000 (29.062)	Prec@5 51.953 (57.871)
Epoch: [48][5090/7045]	Time 0.381 (0.249)	Data 0.328 (0.184)	Loss 3.0515 (3.0767)	Prec@1 30.078 (29.061)	Prec@5 60.547 (57.871)
Epoch: [48][5100/7045]	Time 0.101 (0.249)	Data 0.005 (0.184)	Loss 3.2097 (3.0767)	Prec@1 25.781 (29.059)	Prec@5 54.297 (57.867)
Epoch: [48][5110/7045]	Time 0.488 (0.249)	Data 0.436 (0.184)	Loss 3.2747 (3.0768)	Prec@1 25.391 (29.059)	Prec@5 52.344 (57.866)
Epoch: [48][5120/7045]	Time 0.103 (0.249)	Data 0.001 (0.184)	Loss 3.0659 (3.0768)	Prec@1 30.469 (29.060)	Prec@5 60.547 (57.865)
Epoch: [48][5130/7045]	Time 0.419 (0.249)	Data 0.368 (0.184)	Loss 3.1350 (3.0769)	Prec@1 26.172 (29.057)	Prec@5 55.859 (57.860)
Epoch: [48][5140/7045]	Time 0.108 (0.249)	Data 0.056 (0.184)	Loss 3.1471 (3.0769)	Prec@1 26.172 (29.056)	Prec@5 55.469 (57.861)
Epoch: [48][5150/7045]	Time 0.102 (0.249)	Data 0.008 (0.184)	Loss 3.0672 (3.0771)	Prec@1 31.641 (29.055)	Prec@5 55.469 (57.859)
Epoch: [48][5160/7045]	Time 0.182 (0.249)	Data 0.130 (0.184)	Loss 3.0668 (3.0770)	Prec@1 29.688 (29.055)	Prec@5 55.469 (57.859)
Epoch: [48][5170/7045]	Time 0.259 (0.249)	Data 0.209 (0.184)	Loss 3.0365 (3.0770)	Prec@1 29.297 (29.056)	Prec@5 55.078 (57.860)
Epoch: [48][5180/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 2.9835 (3.0771)	Prec@1 32.422 (29.054)	Prec@5 58.984 (57.857)
Epoch: [48][5190/7045]	Time 0.433 (0.249)	Data 0.382 (0.185)	Loss 3.1765 (3.0771)	Prec@1 31.641 (29.053)	Prec@5 59.766 (57.855)
Epoch: [48][5200/7045]	Time 0.160 (0.249)	Data 0.110 (0.185)	Loss 3.2003 (3.0772)	Prec@1 28.516 (29.052)	Prec@5 60.547 (57.854)
Epoch: [48][5210/7045]	Time 0.303 (0.249)	Data 0.252 (0.185)	Loss 3.0622 (3.0773)	Prec@1 31.250 (29.052)	Prec@5 57.422 (57.852)
Epoch: [48][5220/7045]	Time 0.101 (0.249)	Data 0.006 (0.185)	Loss 3.1798 (3.0774)	Prec@1 30.078 (29.050)	Prec@5 57.422 (57.852)
Epoch: [48][5230/7045]	Time 0.362 (0.249)	Data 0.305 (0.185)	Loss 2.9003 (3.0772)	Prec@1 32.031 (29.050)	Prec@5 63.672 (57.853)
Epoch: [48][5240/7045]	Time 0.101 (0.249)	Data 0.004 (0.185)	Loss 3.1269 (3.0772)	Prec@1 25.781 (29.051)	Prec@5 60.547 (57.854)
Epoch: [48][5250/7045]	Time 0.362 (0.249)	Data 0.310 (0.185)	Loss 2.9342 (3.0771)	Prec@1 32.422 (29.052)	Prec@5 56.250 (57.855)
Epoch: [48][5260/7045]	Time 0.102 (0.249)	Data 0.006 (0.185)	Loss 2.9301 (3.0770)	Prec@1 33.984 (29.052)	Prec@5 62.109 (57.857)
Epoch: [48][5270/7045]	Time 0.148 (0.249)	Data 0.097 (0.185)	Loss 3.1106 (3.0771)	Prec@1 27.734 (29.051)	Prec@5 53.125 (57.856)
Epoch: [48][5280/7045]	Time 0.303 (0.249)	Data 0.251 (0.185)	Loss 2.9961 (3.0771)	Prec@1 26.953 (29.051)	Prec@5 60.156 (57.855)
Epoch: [48][5290/7045]	Time 0.356 (0.249)	Data 0.305 (0.185)	Loss 3.0793 (3.0772)	Prec@1 28.516 (29.049)	Prec@5 56.250 (57.853)
Epoch: [48][5300/7045]	Time 0.102 (0.249)	Data 0.020 (0.185)	Loss 3.2701 (3.0772)	Prec@1 24.609 (29.049)	Prec@5 54.688 (57.854)
Epoch: [48][5310/7045]	Time 0.175 (0.249)	Data 0.124 (0.185)	Loss 3.2215 (3.0773)	Prec@1 29.297 (29.050)	Prec@5 53.125 (57.853)
Epoch: [48][5320/7045]	Time 0.259 (0.249)	Data 0.207 (0.185)	Loss 2.8990 (3.0773)	Prec@1 32.812 (29.050)	Prec@5 62.500 (57.852)
Epoch: [48][5330/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 3.1646 (3.0772)	Prec@1 28.516 (29.049)	Prec@5 57.422 (57.851)
Epoch: [48][5340/7045]	Time 0.501 (0.249)	Data 0.443 (0.185)	Loss 3.3037 (3.0772)	Prec@1 28.125 (29.050)	Prec@5 54.297 (57.851)
Epoch: [48][5350/7045]	Time 0.102 (0.249)	Data 0.049 (0.185)	Loss 3.0667 (3.0771)	Prec@1 25.000 (29.051)	Prec@5 55.859 (57.853)
Epoch: [48][5360/7045]	Time 0.549 (0.249)	Data 0.490 (0.185)	Loss 3.1401 (3.0771)	Prec@1 27.734 (29.049)	Prec@5 59.375 (57.853)
Epoch: [48][5370/7045]	Time 0.159 (0.249)	Data 0.105 (0.185)	Loss 2.9577 (3.0771)	Prec@1 32.812 (29.049)	Prec@5 61.719 (57.854)
Epoch: [48][5380/7045]	Time 0.493 (0.249)	Data 0.441 (0.185)	Loss 3.0377 (3.0770)	Prec@1 30.078 (29.049)	Prec@5 56.641 (57.854)
Epoch: [48][5390/7045]	Time 0.171 (0.249)	Data 0.121 (0.185)	Loss 3.0257 (3.0770)	Prec@1 30.078 (29.049)	Prec@5 61.719 (57.855)
Epoch: [48][5400/7045]	Time 0.332 (0.249)	Data 0.279 (0.185)	Loss 3.0450 (3.0769)	Prec@1 28.125 (29.051)	Prec@5 62.109 (57.856)
Epoch: [48][5410/7045]	Time 0.102 (0.249)	Data 0.017 (0.185)	Loss 3.0176 (3.0768)	Prec@1 29.688 (29.054)	Prec@5 58.984 (57.858)
Epoch: [48][5420/7045]	Time 0.107 (0.249)	Data 0.056 (0.185)	Loss 3.1435 (3.0768)	Prec@1 26.562 (29.053)	Prec@5 57.422 (57.859)
Epoch: [48][5430/7045]	Time 0.144 (0.249)	Data 0.090 (0.185)	Loss 3.0859 (3.0768)	Prec@1 26.953 (29.051)	Prec@5 58.203 (57.859)
Epoch: [48][5440/7045]	Time 0.179 (0.249)	Data 0.125 (0.185)	Loss 3.0929 (3.0768)	Prec@1 30.078 (29.052)	Prec@5 57.031 (57.858)
Epoch: [48][5450/7045]	Time 0.101 (0.249)	Data 0.008 (0.185)	Loss 3.0765 (3.0767)	Prec@1 30.078 (29.054)	Prec@5 58.984 (57.861)
Epoch: [48][5460/7045]	Time 0.144 (0.249)	Data 0.093 (0.185)	Loss 2.9394 (3.0768)	Prec@1 31.641 (29.054)	Prec@5 59.375 (57.860)
Epoch: [48][5470/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 3.0704 (3.0768)	Prec@1 30.859 (29.055)	Prec@5 57.422 (57.862)
Epoch: [48][5480/7045]	Time 0.345 (0.249)	Data 0.284 (0.185)	Loss 3.0648 (3.0768)	Prec@1 27.344 (29.054)	Prec@5 55.859 (57.862)
Epoch: [48][5490/7045]	Time 0.104 (0.249)	Data 0.048 (0.185)	Loss 3.1273 (3.0769)	Prec@1 25.781 (29.051)	Prec@5 57.812 (57.861)
Epoch: [48][5500/7045]	Time 0.326 (0.249)	Data 0.274 (0.185)	Loss 3.0856 (3.0769)	Prec@1 30.469 (29.050)	Prec@5 58.984 (57.862)
Epoch: [48][5510/7045]	Time 0.101 (0.249)	Data 0.005 (0.185)	Loss 2.8788 (3.0768)	Prec@1 32.031 (29.050)	Prec@5 62.109 (57.863)
Epoch: [48][5520/7045]	Time 0.442 (0.249)	Data 0.390 (0.185)	Loss 3.0216 (3.0769)	Prec@1 32.422 (29.051)	Prec@5 57.031 (57.861)
Epoch: [48][5530/7045]	Time 0.102 (0.249)	Data 0.044 (0.185)	Loss 3.0156 (3.0769)	Prec@1 31.250 (29.051)	Prec@5 55.859 (57.861)
Epoch: [48][5540/7045]	Time 0.304 (0.249)	Data 0.253 (0.185)	Loss 3.0115 (3.0769)	Prec@1 29.688 (29.051)	Prec@5 57.812 (57.862)
Epoch: [48][5550/7045]	Time 0.102 (0.249)	Data 0.009 (0.185)	Loss 3.0146 (3.0769)	Prec@1 32.422 (29.050)	Prec@5 57.812 (57.860)
Epoch: [48][5560/7045]	Time 0.162 (0.249)	Data 0.102 (0.185)	Loss 3.2460 (3.0770)	Prec@1 24.609 (29.050)	Prec@5 55.078 (57.859)
Epoch: [48][5570/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 3.0982 (3.0770)	Prec@1 31.250 (29.050)	Prec@5 59.375 (57.858)
Epoch: [48][5580/7045]	Time 0.295 (0.249)	Data 0.243 (0.185)	Loss 3.0486 (3.0768)	Prec@1 28.906 (29.052)	Prec@5 57.031 (57.861)
Epoch: [48][5590/7045]	Time 0.319 (0.249)	Data 0.267 (0.185)	Loss 3.0233 (3.0767)	Prec@1 29.688 (29.052)	Prec@5 58.984 (57.862)
Epoch: [48][5600/7045]	Time 0.281 (0.249)	Data 0.231 (0.185)	Loss 3.1668 (3.0768)	Prec@1 26.953 (29.050)	Prec@5 58.594 (57.861)
Epoch: [48][5610/7045]	Time 0.417 (0.249)	Data 0.365 (0.185)	Loss 3.1726 (3.0768)	Prec@1 30.859 (29.051)	Prec@5 54.297 (57.862)
Epoch: [48][5620/7045]	Time 0.181 (0.249)	Data 0.129 (0.185)	Loss 3.0993 (3.0767)	Prec@1 28.516 (29.049)	Prec@5 55.469 (57.862)
Epoch: [48][5630/7045]	Time 0.102 (0.249)	Data 0.050 (0.185)	Loss 2.9166 (3.0768)	Prec@1 30.859 (29.046)	Prec@5 62.109 (57.861)
Epoch: [48][5640/7045]	Time 0.100 (0.249)	Data 0.001 (0.185)	Loss 3.0218 (3.0768)	Prec@1 26.172 (29.045)	Prec@5 60.547 (57.861)
Epoch: [48][5650/7045]	Time 0.109 (0.249)	Data 0.057 (0.185)	Loss 3.2417 (3.0768)	Prec@1 27.734 (29.046)	Prec@5 55.078 (57.861)
Epoch: [48][5660/7045]	Time 0.411 (0.249)	Data 0.360 (0.185)	Loss 3.0608 (3.0768)	Prec@1 31.641 (29.045)	Prec@5 56.250 (57.862)
Epoch: [48][5670/7045]	Time 0.111 (0.249)	Data 0.006 (0.185)	Loss 3.0106 (3.0767)	Prec@1 33.594 (29.046)	Prec@5 62.891 (57.864)
Epoch: [48][5680/7045]	Time 0.296 (0.249)	Data 0.245 (0.185)	Loss 3.0312 (3.0768)	Prec@1 31.641 (29.046)	Prec@5 59.766 (57.864)
Epoch: [48][5690/7045]	Time 0.109 (0.249)	Data 0.016 (0.185)	Loss 3.0493 (3.0767)	Prec@1 33.203 (29.047)	Prec@5 57.422 (57.864)
Epoch: [48][5700/7045]	Time 0.357 (0.249)	Data 0.297 (0.185)	Loss 3.0704 (3.0767)	Prec@1 29.688 (29.045)	Prec@5 57.031 (57.864)
Epoch: [48][5710/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 2.8869 (3.0766)	Prec@1 33.203 (29.046)	Prec@5 64.062 (57.866)
Epoch: [48][5720/7045]	Time 0.237 (0.249)	Data 0.185 (0.185)	Loss 3.0107 (3.0767)	Prec@1 30.469 (29.047)	Prec@5 58.203 (57.865)
Epoch: [48][5730/7045]	Time 0.193 (0.249)	Data 0.141 (0.185)	Loss 3.1667 (3.0767)	Prec@1 27.734 (29.046)	Prec@5 54.688 (57.865)
Epoch: [48][5740/7045]	Time 0.233 (0.249)	Data 0.173 (0.185)	Loss 2.9305 (3.0766)	Prec@1 29.297 (29.045)	Prec@5 60.547 (57.868)
Epoch: [48][5750/7045]	Time 0.586 (0.249)	Data 0.535 (0.185)	Loss 3.0511 (3.0766)	Prec@1 28.125 (29.044)	Prec@5 62.109 (57.869)
Epoch: [48][5760/7045]	Time 0.216 (0.249)	Data 0.165 (0.185)	Loss 2.9834 (3.0766)	Prec@1 28.906 (29.042)	Prec@5 56.250 (57.869)
Epoch: [48][5770/7045]	Time 0.325 (0.249)	Data 0.273 (0.185)	Loss 3.2036 (3.0766)	Prec@1 28.516 (29.044)	Prec@5 57.422 (57.870)
Epoch: [48][5780/7045]	Time 0.144 (0.249)	Data 0.093 (0.185)	Loss 3.1027 (3.0766)	Prec@1 28.516 (29.044)	Prec@5 52.734 (57.868)
Epoch: [48][5790/7045]	Time 0.332 (0.249)	Data 0.269 (0.185)	Loss 3.1555 (3.0767)	Prec@1 26.562 (29.041)	Prec@5 54.688 (57.868)
Epoch: [48][5800/7045]	Time 0.137 (0.249)	Data 0.086 (0.185)	Loss 3.1722 (3.0767)	Prec@1 28.906 (29.041)	Prec@5 57.422 (57.869)
Epoch: [48][5810/7045]	Time 0.165 (0.249)	Data 0.114 (0.185)	Loss 2.9418 (3.0767)	Prec@1 28.906 (29.040)	Prec@5 58.984 (57.867)
Epoch: [48][5820/7045]	Time 0.186 (0.248)	Data 0.136 (0.185)	Loss 3.0562 (3.0766)	Prec@1 33.594 (29.041)	Prec@5 58.984 (57.869)
Epoch: [48][5830/7045]	Time 0.288 (0.249)	Data 0.236 (0.185)	Loss 3.0501 (3.0766)	Prec@1 29.688 (29.043)	Prec@5 57.422 (57.869)
Epoch: [48][5840/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 3.0397 (3.0767)	Prec@1 30.078 (29.043)	Prec@5 62.109 (57.870)
Epoch: [48][5850/7045]	Time 0.398 (0.249)	Data 0.347 (0.185)	Loss 3.3184 (3.0767)	Prec@1 26.953 (29.043)	Prec@5 51.562 (57.869)
Epoch: [48][5860/7045]	Time 0.155 (0.249)	Data 0.105 (0.185)	Loss 2.9037 (3.0768)	Prec@1 33.203 (29.043)	Prec@5 57.812 (57.866)
Epoch: [48][5870/7045]	Time 0.260 (0.249)	Data 0.208 (0.185)	Loss 3.0106 (3.0769)	Prec@1 31.641 (29.044)	Prec@5 58.984 (57.865)
Epoch: [48][5880/7045]	Time 0.120 (0.249)	Data 0.070 (0.185)	Loss 3.1446 (3.0769)	Prec@1 27.734 (29.044)	Prec@5 59.375 (57.864)
Epoch: [48][5890/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 3.0743 (3.0769)	Prec@1 25.391 (29.043)	Prec@5 60.156 (57.864)
Epoch: [48][5900/7045]	Time 0.107 (0.249)	Data 0.056 (0.185)	Loss 3.0834 (3.0769)	Prec@1 28.516 (29.043)	Prec@5 58.984 (57.865)
Epoch: [48][5910/7045]	Time 0.261 (0.248)	Data 0.209 (0.185)	Loss 2.9422 (3.0770)	Prec@1 31.641 (29.042)	Prec@5 59.766 (57.865)
Epoch: [48][5920/7045]	Time 0.146 (0.248)	Data 0.095 (0.185)	Loss 3.0169 (3.0769)	Prec@1 30.469 (29.044)	Prec@5 56.641 (57.866)
Epoch: [48][5930/7045]	Time 0.451 (0.248)	Data 0.400 (0.185)	Loss 3.0620 (3.0769)	Prec@1 30.859 (29.047)	Prec@5 60.156 (57.868)
Epoch: [48][5940/7045]	Time 0.101 (0.248)	Data 0.050 (0.185)	Loss 3.1802 (3.0768)	Prec@1 25.781 (29.048)	Prec@5 56.641 (57.867)
Epoch: [48][5950/7045]	Time 0.509 (0.249)	Data 0.457 (0.185)	Loss 3.0460 (3.0768)	Prec@1 22.656 (29.048)	Prec@5 58.203 (57.866)
Epoch: [48][5960/7045]	Time 0.152 (0.248)	Data 0.101 (0.185)	Loss 3.0909 (3.0769)	Prec@1 28.125 (29.044)	Prec@5 58.203 (57.864)
Epoch: [48][5970/7045]	Time 0.471 (0.248)	Data 0.412 (0.185)	Loss 3.1282 (3.0770)	Prec@1 26.953 (29.043)	Prec@5 58.594 (57.862)
Epoch: [48][5980/7045]	Time 0.508 (0.248)	Data 0.457 (0.185)	Loss 3.1240 (3.0770)	Prec@1 29.297 (29.042)	Prec@5 57.031 (57.859)
Epoch: [48][5990/7045]	Time 0.116 (0.248)	Data 0.065 (0.185)	Loss 3.1740 (3.0771)	Prec@1 27.344 (29.040)	Prec@5 56.250 (57.857)
Epoch: [48][6000/7045]	Time 0.406 (0.248)	Data 0.355 (0.185)	Loss 3.2102 (3.0772)	Prec@1 28.516 (29.039)	Prec@5 58.594 (57.856)
Epoch: [48][6010/7045]	Time 0.158 (0.248)	Data 0.106 (0.185)	Loss 3.0108 (3.0772)	Prec@1 33.594 (29.039)	Prec@5 60.938 (57.858)
Epoch: [48][6020/7045]	Time 0.250 (0.248)	Data 0.199 (0.185)	Loss 3.4354 (3.0773)	Prec@1 25.000 (29.038)	Prec@5 54.688 (57.856)
Epoch: [48][6030/7045]	Time 0.224 (0.248)	Data 0.167 (0.185)	Loss 3.1458 (3.0773)	Prec@1 27.344 (29.039)	Prec@5 58.203 (57.855)
Epoch: [48][6040/7045]	Time 0.266 (0.248)	Data 0.215 (0.185)	Loss 3.0695 (3.0774)	Prec@1 28.516 (29.039)	Prec@5 62.500 (57.855)
Epoch: [48][6050/7045]	Time 0.198 (0.248)	Data 0.147 (0.185)	Loss 2.9938 (3.0774)	Prec@1 25.391 (29.039)	Prec@5 57.812 (57.855)
Epoch: [48][6060/7045]	Time 0.593 (0.248)	Data 0.542 (0.185)	Loss 3.0505 (3.0773)	Prec@1 27.344 (29.041)	Prec@5 60.547 (57.857)
Epoch: [48][6070/7045]	Time 0.109 (0.248)	Data 0.003 (0.185)	Loss 3.1016 (3.0773)	Prec@1 28.125 (29.041)	Prec@5 56.250 (57.858)
Epoch: [48][6080/7045]	Time 0.345 (0.248)	Data 0.293 (0.185)	Loss 3.0881 (3.0774)	Prec@1 32.031 (29.043)	Prec@5 53.906 (57.856)
Epoch: [48][6090/7045]	Time 0.102 (0.248)	Data 0.045 (0.185)	Loss 3.0973 (3.0775)	Prec@1 27.734 (29.042)	Prec@5 55.859 (57.854)
Epoch: [48][6100/7045]	Time 0.154 (0.248)	Data 0.103 (0.185)	Loss 3.0832 (3.0775)	Prec@1 26.953 (29.041)	Prec@5 55.859 (57.853)
Epoch: [48][6110/7045]	Time 0.206 (0.248)	Data 0.156 (0.185)	Loss 2.9350 (3.0775)	Prec@1 34.375 (29.040)	Prec@5 65.234 (57.852)
Epoch: [48][6120/7045]	Time 0.333 (0.248)	Data 0.281 (0.185)	Loss 3.0561 (3.0775)	Prec@1 30.469 (29.040)	Prec@5 61.719 (57.853)
Epoch: [48][6130/7045]	Time 0.111 (0.248)	Data 0.059 (0.185)	Loss 2.9483 (3.0773)	Prec@1 32.422 (29.041)	Prec@5 61.328 (57.858)
Epoch: [48][6140/7045]	Time 0.371 (0.248)	Data 0.317 (0.185)	Loss 2.8796 (3.0772)	Prec@1 30.859 (29.043)	Prec@5 64.844 (57.862)
Epoch: [48][6150/7045]	Time 0.202 (0.248)	Data 0.151 (0.185)	Loss 2.9391 (3.0771)	Prec@1 30.078 (29.043)	Prec@5 61.328 (57.863)
Epoch: [48][6160/7045]	Time 0.125 (0.248)	Data 0.074 (0.185)	Loss 3.2743 (3.0772)	Prec@1 28.906 (29.041)	Prec@5 51.172 (57.858)
Epoch: [48][6170/7045]	Time 0.310 (0.248)	Data 0.260 (0.185)	Loss 3.1224 (3.0772)	Prec@1 26.562 (29.041)	Prec@5 53.906 (57.858)
Epoch: [48][6180/7045]	Time 0.104 (0.248)	Data 0.053 (0.185)	Loss 2.9334 (3.0772)	Prec@1 30.469 (29.041)	Prec@5 63.281 (57.858)
Epoch: [48][6190/7045]	Time 0.160 (0.248)	Data 0.101 (0.185)	Loss 3.0567 (3.0773)	Prec@1 29.297 (29.039)	Prec@5 57.422 (57.857)
Epoch: [48][6200/7045]	Time 0.103 (0.248)	Data 0.001 (0.185)	Loss 3.0233 (3.0772)	Prec@1 25.000 (29.039)	Prec@5 58.203 (57.858)
Epoch: [48][6210/7045]	Time 0.117 (0.248)	Data 0.060 (0.185)	Loss 3.1401 (3.0772)	Prec@1 25.391 (29.037)	Prec@5 61.719 (57.860)
Epoch: [48][6220/7045]	Time 0.102 (0.248)	Data 0.008 (0.185)	Loss 2.9922 (3.0773)	Prec@1 28.906 (29.036)	Prec@5 60.156 (57.859)
Epoch: [48][6230/7045]	Time 0.145 (0.248)	Data 0.094 (0.185)	Loss 3.1120 (3.0773)	Prec@1 26.562 (29.036)	Prec@5 59.375 (57.861)
Epoch: [48][6240/7045]	Time 0.553 (0.248)	Data 0.501 (0.185)	Loss 3.0293 (3.0773)	Prec@1 26.953 (29.035)	Prec@5 64.062 (57.862)
Epoch: [48][6250/7045]	Time 0.169 (0.248)	Data 0.109 (0.185)	Loss 3.2331 (3.0773)	Prec@1 24.609 (29.035)	Prec@5 55.859 (57.861)
Epoch: [48][6260/7045]	Time 0.638 (0.249)	Data 0.587 (0.185)	Loss 3.0254 (3.0773)	Prec@1 29.297 (29.033)	Prec@5 60.156 (57.862)
Epoch: [48][6270/7045]	Time 0.133 (0.248)	Data 0.081 (0.185)	Loss 2.9640 (3.0773)	Prec@1 30.078 (29.033)	Prec@5 61.719 (57.862)
Epoch: [48][6280/7045]	Time 0.383 (0.248)	Data 0.333 (0.185)	Loss 3.1004 (3.0774)	Prec@1 29.688 (29.031)	Prec@5 58.594 (57.861)
Epoch: [48][6290/7045]	Time 0.100 (0.248)	Data 0.011 (0.185)	Loss 3.0704 (3.0773)	Prec@1 31.641 (29.033)	Prec@5 54.688 (57.862)
Epoch: [48][6300/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 3.0863 (3.0773)	Prec@1 28.516 (29.032)	Prec@5 59.375 (57.862)
Epoch: [48][6310/7045]	Time 0.244 (0.248)	Data 0.193 (0.185)	Loss 3.0524 (3.0774)	Prec@1 27.344 (29.027)	Prec@5 55.078 (57.859)
Epoch: [48][6320/7045]	Time 0.218 (0.249)	Data 0.167 (0.185)	Loss 3.2899 (3.0775)	Prec@1 21.875 (29.025)	Prec@5 55.859 (57.856)
Epoch: [48][6330/7045]	Time 0.220 (0.248)	Data 0.170 (0.185)	Loss 3.0889 (3.0775)	Prec@1 28.516 (29.024)	Prec@5 57.812 (57.856)
Epoch: [48][6340/7045]	Time 0.331 (0.248)	Data 0.281 (0.185)	Loss 3.1170 (3.0775)	Prec@1 25.781 (29.024)	Prec@5 57.812 (57.858)
Epoch: [48][6350/7045]	Time 0.282 (0.249)	Data 0.231 (0.185)	Loss 2.9580 (3.0775)	Prec@1 30.859 (29.025)	Prec@5 60.547 (57.857)
Epoch: [48][6360/7045]	Time 0.102 (0.248)	Data 0.016 (0.185)	Loss 3.1297 (3.0774)	Prec@1 30.469 (29.027)	Prec@5 57.031 (57.859)
Epoch: [48][6370/7045]	Time 0.323 (0.248)	Data 0.271 (0.185)	Loss 2.8869 (3.0773)	Prec@1 31.641 (29.028)	Prec@5 60.156 (57.861)
Epoch: [48][6380/7045]	Time 0.287 (0.248)	Data 0.231 (0.185)	Loss 3.2046 (3.0774)	Prec@1 25.000 (29.026)	Prec@5 52.344 (57.858)
Epoch: [48][6390/7045]	Time 0.154 (0.248)	Data 0.102 (0.185)	Loss 3.2398 (3.0775)	Prec@1 30.078 (29.027)	Prec@5 54.297 (57.857)
Epoch: [48][6400/7045]	Time 0.399 (0.248)	Data 0.348 (0.185)	Loss 3.0258 (3.0775)	Prec@1 28.516 (29.026)	Prec@5 58.984 (57.856)
Epoch: [48][6410/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 3.0709 (3.0776)	Prec@1 29.297 (29.025)	Prec@5 58.203 (57.856)
Epoch: [48][6420/7045]	Time 0.399 (0.248)	Data 0.348 (0.185)	Loss 3.0889 (3.0776)	Prec@1 30.859 (29.026)	Prec@5 56.641 (57.856)
Epoch: [48][6430/7045]	Time 0.430 (0.248)	Data 0.377 (0.185)	Loss 3.1260 (3.0776)	Prec@1 26.562 (29.025)	Prec@5 55.078 (57.855)
Epoch: [48][6440/7045]	Time 0.144 (0.248)	Data 0.093 (0.185)	Loss 3.0363 (3.0775)	Prec@1 30.469 (29.028)	Prec@5 59.766 (57.855)
Epoch: [48][6450/7045]	Time 0.516 (0.248)	Data 0.466 (0.185)	Loss 3.1041 (3.0776)	Prec@1 26.953 (29.028)	Prec@5 55.859 (57.854)
Epoch: [48][6460/7045]	Time 0.136 (0.248)	Data 0.075 (0.185)	Loss 3.1419 (3.0776)	Prec@1 34.375 (29.029)	Prec@5 57.812 (57.852)
Epoch: [48][6470/7045]	Time 0.490 (0.248)	Data 0.438 (0.185)	Loss 3.1505 (3.0775)	Prec@1 28.516 (29.030)	Prec@5 55.859 (57.854)
Epoch: [48][6480/7045]	Time 0.234 (0.248)	Data 0.183 (0.185)	Loss 2.9712 (3.0776)	Prec@1 27.344 (29.027)	Prec@5 61.719 (57.853)
Epoch: [48][6490/7045]	Time 0.542 (0.248)	Data 0.484 (0.185)	Loss 3.1359 (3.0776)	Prec@1 32.422 (29.028)	Prec@5 56.250 (57.854)
Epoch: [48][6500/7045]	Time 0.119 (0.248)	Data 0.067 (0.185)	Loss 3.0228 (3.0776)	Prec@1 31.641 (29.030)	Prec@5 57.812 (57.856)
Epoch: [48][6510/7045]	Time 0.478 (0.248)	Data 0.426 (0.185)	Loss 3.2164 (3.0776)	Prec@1 23.828 (29.029)	Prec@5 53.125 (57.857)
Epoch: [48][6520/7045]	Time 0.110 (0.248)	Data 0.060 (0.185)	Loss 2.8751 (3.0776)	Prec@1 34.375 (29.031)	Prec@5 59.766 (57.856)
Epoch: [48][6530/7045]	Time 0.433 (0.248)	Data 0.382 (0.185)	Loss 2.9701 (3.0775)	Prec@1 31.641 (29.034)	Prec@5 60.156 (57.858)
Epoch: [48][6540/7045]	Time 0.102 (0.248)	Data 0.010 (0.185)	Loss 3.1640 (3.0776)	Prec@1 27.734 (29.032)	Prec@5 55.078 (57.857)
Epoch: [48][6550/7045]	Time 0.552 (0.248)	Data 0.499 (0.185)	Loss 3.4447 (3.0777)	Prec@1 26.172 (29.031)	Prec@5 50.391 (57.854)
Epoch: [48][6560/7045]	Time 0.116 (0.248)	Data 0.065 (0.185)	Loss 2.9866 (3.0776)	Prec@1 28.516 (29.032)	Prec@5 59.766 (57.856)
Epoch: [48][6570/7045]	Time 0.569 (0.248)	Data 0.518 (0.185)	Loss 2.9325 (3.0777)	Prec@1 30.469 (29.032)	Prec@5 59.375 (57.856)
Epoch: [48][6580/7045]	Time 0.108 (0.248)	Data 0.001 (0.185)	Loss 2.9784 (3.0776)	Prec@1 30.078 (29.034)	Prec@5 58.203 (57.858)
Epoch: [48][6590/7045]	Time 0.570 (0.248)	Data 0.519 (0.185)	Loss 3.0856 (3.0776)	Prec@1 27.344 (29.034)	Prec@5 57.422 (57.857)
Epoch: [48][6600/7045]	Time 0.256 (0.248)	Data 0.196 (0.185)	Loss 2.9046 (3.0775)	Prec@1 33.594 (29.033)	Prec@5 61.328 (57.856)
Epoch: [48][6610/7045]	Time 0.504 (0.248)	Data 0.453 (0.185)	Loss 3.1864 (3.0776)	Prec@1 29.688 (29.032)	Prec@5 55.859 (57.856)
Epoch: [48][6620/7045]	Time 0.212 (0.248)	Data 0.161 (0.185)	Loss 3.2127 (3.0776)	Prec@1 30.078 (29.034)	Prec@5 59.375 (57.856)
Epoch: [48][6630/7045]	Time 0.103 (0.248)	Data 0.051 (0.185)	Loss 2.7993 (3.0776)	Prec@1 31.250 (29.033)	Prec@5 62.500 (57.857)
Epoch: [48][6640/7045]	Time 0.143 (0.248)	Data 0.091 (0.185)	Loss 2.9566 (3.0775)	Prec@1 31.641 (29.034)	Prec@5 62.109 (57.858)
Epoch: [48][6650/7045]	Time 0.103 (0.248)	Data 0.001 (0.185)	Loss 2.9291 (3.0774)	Prec@1 32.422 (29.037)	Prec@5 61.328 (57.860)
Epoch: [48][6660/7045]	Time 0.190 (0.248)	Data 0.139 (0.185)	Loss 3.0386 (3.0774)	Prec@1 30.859 (29.037)	Prec@5 58.203 (57.860)
Epoch: [48][6670/7045]	Time 0.378 (0.248)	Data 0.327 (0.185)	Loss 3.1070 (3.0773)	Prec@1 24.219 (29.038)	Prec@5 55.078 (57.860)
Epoch: [48][6680/7045]	Time 0.154 (0.248)	Data 0.094 (0.185)	Loss 2.8597 (3.0772)	Prec@1 31.641 (29.038)	Prec@5 64.062 (57.863)
Epoch: [48][6690/7045]	Time 0.644 (0.248)	Data 0.587 (0.185)	Loss 3.1240 (3.0772)	Prec@1 27.734 (29.038)	Prec@5 57.031 (57.863)
Epoch: [48][6700/7045]	Time 0.104 (0.248)	Data 0.001 (0.185)	Loss 3.1196 (3.0772)	Prec@1 28.125 (29.039)	Prec@5 57.812 (57.862)
Epoch: [48][6710/7045]	Time 0.735 (0.248)	Data 0.678 (0.185)	Loss 3.2874 (3.0772)	Prec@1 28.906 (29.039)	Prec@5 57.422 (57.863)
Epoch: [48][6720/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 3.1730 (3.0772)	Prec@1 27.344 (29.040)	Prec@5 57.031 (57.865)
Epoch: [48][6730/7045]	Time 0.726 (0.248)	Data 0.667 (0.185)	Loss 3.1584 (3.0772)	Prec@1 26.953 (29.039)	Prec@5 53.125 (57.864)
Epoch: [48][6740/7045]	Time 0.175 (0.248)	Data 0.123 (0.185)	Loss 2.9917 (3.0770)	Prec@1 30.078 (29.041)	Prec@5 60.156 (57.867)
Epoch: [48][6750/7045]	Time 0.571 (0.248)	Data 0.520 (0.185)	Loss 3.1298 (3.0770)	Prec@1 29.297 (29.042)	Prec@5 58.203 (57.867)
Epoch: [48][6760/7045]	Time 0.310 (0.248)	Data 0.251 (0.185)	Loss 3.0344 (3.0770)	Prec@1 29.297 (29.042)	Prec@5 58.984 (57.866)
Epoch: [48][6770/7045]	Time 0.268 (0.248)	Data 0.217 (0.185)	Loss 2.9945 (3.0769)	Prec@1 30.469 (29.042)	Prec@5 62.891 (57.868)
Epoch: [48][6780/7045]	Time 0.282 (0.248)	Data 0.232 (0.185)	Loss 3.1078 (3.0770)	Prec@1 30.078 (29.041)	Prec@5 53.125 (57.866)
Epoch: [48][6790/7045]	Time 0.108 (0.248)	Data 0.001 (0.185)	Loss 3.3526 (3.0770)	Prec@1 24.609 (29.040)	Prec@5 51.562 (57.864)
Epoch: [48][6800/7045]	Time 0.176 (0.248)	Data 0.125 (0.185)	Loss 2.8963 (3.0770)	Prec@1 32.422 (29.040)	Prec@5 60.938 (57.864)
Epoch: [48][6810/7045]	Time 0.109 (0.248)	Data 0.057 (0.185)	Loss 2.9411 (3.0769)	Prec@1 32.422 (29.044)	Prec@5 59.375 (57.865)
Epoch: [48][6820/7045]	Time 0.103 (0.248)	Data 0.012 (0.185)	Loss 3.0470 (3.0769)	Prec@1 30.078 (29.044)	Prec@5 58.203 (57.864)
Epoch: [48][6830/7045]	Time 0.098 (0.248)	Data 0.046 (0.185)	Loss 3.1867 (3.0769)	Prec@1 29.297 (29.044)	Prec@5 56.250 (57.865)
Epoch: [48][6840/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 2.8862 (3.0769)	Prec@1 31.250 (29.043)	Prec@5 62.891 (57.864)
Epoch: [48][6850/7045]	Time 0.328 (0.248)	Data 0.276 (0.185)	Loss 2.7949 (3.0769)	Prec@1 31.250 (29.043)	Prec@5 63.672 (57.865)
Epoch: [48][6860/7045]	Time 0.559 (0.248)	Data 0.507 (0.185)	Loss 3.1251 (3.0769)	Prec@1 29.297 (29.043)	Prec@5 58.203 (57.864)
Epoch: [48][6870/7045]	Time 0.103 (0.248)	Data 0.001 (0.185)	Loss 3.1667 (3.0769)	Prec@1 28.516 (29.042)	Prec@5 54.297 (57.866)
Epoch: [48][6880/7045]	Time 0.388 (0.248)	Data 0.336 (0.185)	Loss 3.1019 (3.0768)	Prec@1 30.469 (29.045)	Prec@5 58.203 (57.867)
Epoch: [48][6890/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 3.3039 (3.0769)	Prec@1 28.125 (29.044)	Prec@5 56.250 (57.867)
Epoch: [48][6900/7045]	Time 0.344 (0.248)	Data 0.294 (0.185)	Loss 3.0588 (3.0769)	Prec@1 30.078 (29.044)	Prec@5 54.688 (57.866)
Epoch: [48][6910/7045]	Time 0.100 (0.248)	Data 0.001 (0.185)	Loss 3.0535 (3.0769)	Prec@1 25.000 (29.043)	Prec@5 57.422 (57.865)
Epoch: [48][6920/7045]	Time 0.137 (0.248)	Data 0.085 (0.185)	Loss 3.1362 (3.0769)	Prec@1 29.297 (29.042)	Prec@5 55.078 (57.864)
Epoch: [48][6930/7045]	Time 0.109 (0.248)	Data 0.001 (0.185)	Loss 3.0793 (3.0770)	Prec@1 28.516 (29.043)	Prec@5 58.594 (57.864)
Epoch: [48][6940/7045]	Time 0.102 (0.248)	Data 0.006 (0.185)	Loss 3.0618 (3.0769)	Prec@1 27.344 (29.043)	Prec@5 54.688 (57.863)
Epoch: [48][6950/7045]	Time 0.101 (0.248)	Data 0.046 (0.185)	Loss 3.0679 (3.0769)	Prec@1 27.734 (29.044)	Prec@5 61.719 (57.865)
Epoch: [48][6960/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 3.1005 (3.0769)	Prec@1 30.078 (29.042)	Prec@5 57.422 (57.866)
Epoch: [48][6970/7045]	Time 0.248 (0.248)	Data 0.196 (0.185)	Loss 3.1828 (3.0768)	Prec@1 30.859 (29.045)	Prec@5 55.469 (57.868)
Epoch: [48][6980/7045]	Time 0.102 (0.248)	Data 0.049 (0.184)	Loss 3.1697 (3.0767)	Prec@1 27.344 (29.046)	Prec@5 57.031 (57.870)
Epoch: [48][6990/7045]	Time 0.350 (0.248)	Data 0.292 (0.184)	Loss 3.1843 (3.0766)	Prec@1 25.781 (29.047)	Prec@5 56.250 (57.870)
Epoch: [48][7000/7045]	Time 0.300 (0.248)	Data 0.249 (0.184)	Loss 3.0713 (3.0767)	Prec@1 30.469 (29.045)	Prec@5 56.250 (57.868)
Epoch: [48][7010/7045]	Time 0.280 (0.248)	Data 0.228 (0.184)	Loss 3.0920 (3.0768)	Prec@1 26.953 (29.045)	Prec@5 52.734 (57.866)
Epoch: [48][7020/7045]	Time 0.390 (0.248)	Data 0.334 (0.185)	Loss 3.1979 (3.0767)	Prec@1 27.734 (29.048)	Prec@5 53.906 (57.866)
Epoch: [48][7030/7045]	Time 0.100 (0.248)	Data 0.048 (0.184)	Loss 2.8820 (3.0767)	Prec@1 33.203 (29.048)	Prec@5 62.109 (57.867)
Epoch: [48][7040/7045]	Time 0.355 (0.248)	Data 0.304 (0.185)	Loss 2.9632 (3.0766)	Prec@1 32.812 (29.049)	Prec@5 57.422 (57.869)
Test: [0/143]	Time 1.266 (1.266)	Loss 2.6245 (2.6245)	Prec@1 39.453 (39.453)	Prec@5 67.578 (67.578)
Test: [10/143]	Time 0.459 (0.286)	Loss 2.2232 (2.5231)	Prec@1 48.828 (38.317)	Prec@5 77.734 (70.348)
Test: [20/143]	Time 0.049 (0.239)	Loss 2.9678 (2.5071)	Prec@1 27.344 (37.388)	Prec@5 60.938 (70.759)
Test: [30/143]	Time 0.507 (0.223)	Loss 2.7867 (2.5060)	Prec@1 38.672 (38.634)	Prec@5 57.812 (70.123)
Test: [40/143]	Time 0.163 (0.206)	Loss 3.2515 (2.5438)	Prec@1 18.750 (37.671)	Prec@5 53.906 (69.055)
Test: [50/143]	Time 0.283 (0.201)	Loss 2.4839 (2.5602)	Prec@1 32.422 (36.834)	Prec@5 73.047 (69.003)
Test: [60/143]	Time 0.317 (0.196)	Loss 3.0612 (2.5534)	Prec@1 20.312 (37.167)	Prec@5 56.641 (69.051)
Test: [70/143]	Time 0.104 (0.190)	Loss 3.3642 (2.5425)	Prec@1 20.312 (37.533)	Prec@5 50.000 (69.141)
Test: [80/143]	Time 0.320 (0.190)	Loss 2.6613 (2.5333)	Prec@1 35.547 (37.751)	Prec@5 70.312 (69.382)
Test: [90/143]	Time 0.143 (0.187)	Loss 2.3673 (2.5301)	Prec@1 42.578 (37.646)	Prec@5 74.609 (69.484)
Test: [100/143]	Time 0.075 (0.187)	Loss 2.2017 (2.5302)	Prec@1 43.359 (37.647)	Prec@5 77.734 (69.535)
Test: [110/143]	Time 0.112 (0.185)	Loss 2.0945 (2.5189)	Prec@1 49.219 (37.975)	Prec@5 75.781 (69.876)
Test: [120/143]	Time 0.290 (0.186)	Loss 1.8175 (2.5043)	Prec@1 62.500 (38.407)	Prec@5 83.594 (70.119)
Test: [130/143]	Time 0.112 (0.183)	Loss 2.0902 (2.5127)	Prec@1 53.906 (38.275)	Prec@5 74.609 (69.856)
Test: [140/143]	Time 0.331 (0.183)	Loss 3.3955 (2.5352)	Prec@1 18.750 (37.808)	Prec@5 51.562 (69.343)
 * Prec@1 37.901 Prec@5 69.455
Epoch: [49][0/7045]	Time 2.364 (2.364)	Data 2.302 (2.302)	Loss 3.0605 (3.0605)	Prec@1 31.250 (31.250)	Prec@5 57.422 (57.422)
Epoch: [49][10/7045]	Time 0.111 (0.426)	Data 0.020 (0.356)	Loss 3.0710 (3.0715)	Prec@1 28.516 (29.084)	Prec@5 58.203 (57.280)
Epoch: [49][20/7045]	Time 0.690 (0.370)	Data 0.639 (0.302)	Loss 2.8571 (3.0235)	Prec@1 31.641 (29.892)	Prec@5 62.891 (58.873)
Epoch: [49][30/7045]	Time 0.103 (0.327)	Data 0.051 (0.259)	Loss 2.8990 (3.0154)	Prec@1 33.984 (30.028)	Prec@5 61.719 (58.947)
Epoch: [49][40/7045]	Time 0.657 (0.319)	Data 0.607 (0.248)	Loss 3.1569 (3.0414)	Prec@1 26.562 (29.249)	Prec@5 56.641 (58.384)
Epoch: [49][50/7045]	Time 0.102 (0.300)	Data 0.051 (0.230)	Loss 3.0441 (3.0397)	Prec@1 32.031 (29.718)	Prec@5 57.812 (58.402)
Epoch: [49][60/7045]	Time 0.380 (0.294)	Data 0.330 (0.225)	Loss 2.9227 (3.0483)	Prec@1 32.422 (29.572)	Prec@5 59.375 (58.222)
Epoch: [49][70/7045]	Time 0.317 (0.289)	Data 0.266 (0.222)	Loss 3.2774 (3.0525)	Prec@1 26.953 (29.423)	Prec@5 51.953 (58.038)
Epoch: [49][80/7045]	Time 0.102 (0.285)	Data 0.006 (0.219)	Loss 2.9849 (3.0540)	Prec@1 27.344 (29.446)	Prec@5 59.375 (57.962)
Epoch: [49][90/7045]	Time 0.101 (0.282)	Data 0.012 (0.218)	Loss 2.9891 (3.0507)	Prec@1 31.250 (29.378)	Prec@5 62.891 (58.104)
Epoch: [49][100/7045]	Time 0.107 (0.277)	Data 0.055 (0.212)	Loss 3.2573 (3.0508)	Prec@1 26.953 (29.363)	Prec@5 53.516 (58.164)
Epoch: [49][110/7045]	Time 0.241 (0.278)	Data 0.188 (0.214)	Loss 3.0894 (3.0543)	Prec@1 25.781 (29.307)	Prec@5 57.812 (58.231)
Epoch: [49][120/7045]	Time 0.099 (0.274)	Data 0.001 (0.209)	Loss 3.0942 (3.0592)	Prec@1 30.078 (29.261)	Prec@5 55.469 (58.093)
Epoch: [49][130/7045]	Time 0.299 (0.274)	Data 0.248 (0.209)	Loss 2.8953 (3.0589)	Prec@1 31.641 (29.204)	Prec@5 59.375 (58.209)
Epoch: [49][140/7045]	Time 0.277 (0.271)	Data 0.226 (0.207)	Loss 3.2109 (3.0581)	Prec@1 26.953 (29.175)	Prec@5 54.688 (58.250)
Epoch: [49][150/7045]	Time 0.161 (0.270)	Data 0.110 (0.207)	Loss 3.0038 (3.0558)	Prec@1 30.859 (29.204)	Prec@5 60.547 (58.325)
Epoch: [49][160/7045]	Time 0.322 (0.269)	Data 0.272 (0.206)	Loss 2.9907 (3.0574)	Prec@1 27.734 (29.117)	Prec@5 58.594 (58.269)
Epoch: [49][170/7045]	Time 0.177 (0.269)	Data 0.126 (0.206)	Loss 2.8850 (3.0563)	Prec@1 31.641 (29.151)	Prec@5 63.281 (58.320)
Epoch: [49][180/7045]	Time 0.102 (0.266)	Data 0.001 (0.202)	Loss 3.0619 (3.0571)	Prec@1 30.469 (29.154)	Prec@5 58.203 (58.292)
Epoch: [49][190/7045]	Time 0.109 (0.267)	Data 0.001 (0.202)	Loss 3.0494 (3.0588)	Prec@1 29.688 (29.115)	Prec@5 56.641 (58.228)
Epoch: [49][200/7045]	Time 0.355 (0.266)	Data 0.304 (0.202)	Loss 3.1239 (3.0537)	Prec@1 30.078 (29.260)	Prec@5 56.641 (58.341)
Epoch: [49][210/7045]	Time 0.283 (0.265)	Data 0.233 (0.202)	Loss 2.8900 (3.0503)	Prec@1 33.203 (29.299)	Prec@5 60.938 (58.366)
Epoch: [49][220/7045]	Time 0.116 (0.264)	Data 0.065 (0.201)	Loss 2.8362 (3.0466)	Prec@1 35.547 (29.426)	Prec@5 63.281 (58.479)
Epoch: [49][230/7045]	Time 0.564 (0.265)	Data 0.514 (0.202)	Loss 3.1966 (3.0473)	Prec@1 28.906 (29.463)	Prec@5 56.250 (58.445)
Epoch: [49][240/7045]	Time 0.123 (0.264)	Data 0.070 (0.200)	Loss 3.0902 (3.0482)	Prec@1 29.688 (29.467)	Prec@5 56.250 (58.388)
Epoch: [49][250/7045]	Time 0.736 (0.264)	Data 0.678 (0.200)	Loss 3.4386 (3.0495)	Prec@1 25.391 (29.442)	Prec@5 52.734 (58.374)
Epoch: [49][260/7045]	Time 0.099 (0.262)	Data 0.001 (0.198)	Loss 2.9917 (3.0491)	Prec@1 32.422 (29.463)	Prec@5 58.594 (58.371)
Epoch: [49][270/7045]	Time 0.540 (0.262)	Data 0.489 (0.197)	Loss 3.0907 (3.0488)	Prec@1 30.859 (29.497)	Prec@5 57.422 (58.388)
Epoch: [49][280/7045]	Time 0.152 (0.262)	Data 0.101 (0.197)	Loss 2.8141 (3.0470)	Prec@1 33.594 (29.542)	Prec@5 66.016 (58.439)
Epoch: [49][290/7045]	Time 0.193 (0.261)	Data 0.141 (0.196)	Loss 3.0865 (3.0486)	Prec@1 28.906 (29.502)	Prec@5 61.328 (58.450)
Epoch: [49][300/7045]	Time 0.116 (0.261)	Data 0.053 (0.196)	Loss 2.7330 (3.0472)	Prec@1 33.984 (29.546)	Prec@5 62.500 (58.465)
Epoch: [49][310/7045]	Time 0.179 (0.260)	Data 0.127 (0.195)	Loss 3.0187 (3.0491)	Prec@1 26.172 (29.518)	Prec@5 58.203 (58.441)
Epoch: [49][320/7045]	Time 0.124 (0.261)	Data 0.071 (0.195)	Loss 3.2240 (3.0478)	Prec@1 26.562 (29.510)	Prec@5 52.734 (58.466)
Epoch: [49][330/7045]	Time 0.190 (0.260)	Data 0.139 (0.195)	Loss 3.1668 (3.0483)	Prec@1 25.781 (29.507)	Prec@5 51.562 (58.427)
Epoch: [49][340/7045]	Time 0.271 (0.261)	Data 0.213 (0.196)	Loss 2.9986 (3.0501)	Prec@1 27.734 (29.466)	Prec@5 60.547 (58.401)
Epoch: [49][350/7045]	Time 0.102 (0.260)	Data 0.002 (0.195)	Loss 3.1864 (3.0504)	Prec@1 30.469 (29.505)	Prec@5 53.125 (58.410)
Epoch: [49][360/7045]	Time 0.218 (0.260)	Data 0.167 (0.195)	Loss 3.0922 (3.0496)	Prec@1 26.172 (29.506)	Prec@5 57.031 (58.427)
Epoch: [49][370/7045]	Time 0.302 (0.260)	Data 0.252 (0.196)	Loss 3.1811 (3.0488)	Prec@1 24.609 (29.534)	Prec@5 55.859 (58.438)
Epoch: [49][380/7045]	Time 0.121 (0.259)	Data 0.069 (0.195)	Loss 3.0792 (3.0498)	Prec@1 25.781 (29.524)	Prec@5 60.156 (58.429)
Epoch: [49][390/7045]	Time 0.353 (0.260)	Data 0.303 (0.196)	Loss 3.1285 (3.0515)	Prec@1 28.516 (29.517)	Prec@5 57.031 (58.396)
Epoch: [49][400/7045]	Time 0.189 (0.259)	Data 0.138 (0.195)	Loss 3.0900 (3.0523)	Prec@1 28.906 (29.516)	Prec@5 53.906 (58.383)
Epoch: [49][410/7045]	Time 0.436 (0.259)	Data 0.383 (0.195)	Loss 3.1172 (3.0513)	Prec@1 34.375 (29.580)	Prec@5 58.203 (58.407)
Epoch: [49][420/7045]	Time 0.335 (0.259)	Data 0.284 (0.195)	Loss 3.0113 (3.0498)	Prec@1 32.812 (29.599)	Prec@5 58.594 (58.451)
Epoch: [49][430/7045]	Time 0.547 (0.259)	Data 0.493 (0.195)	Loss 3.0950 (3.0499)	Prec@1 30.469 (29.579)	Prec@5 58.203 (58.481)
Epoch: [49][440/7045]	Time 0.100 (0.258)	Data 0.045 (0.195)	Loss 2.9319 (3.0512)	Prec@1 33.984 (29.547)	Prec@5 63.672 (58.444)
Epoch: [49][450/7045]	Time 0.323 (0.258)	Data 0.272 (0.195)	Loss 3.1783 (3.0514)	Prec@1 24.609 (29.529)	Prec@5 54.688 (58.444)
Epoch: [49][460/7045]	Time 0.108 (0.259)	Data 0.001 (0.195)	Loss 3.0452 (3.0513)	Prec@1 30.859 (29.526)	Prec@5 57.422 (58.420)
Epoch: [49][470/7045]	Time 0.127 (0.258)	Data 0.075 (0.194)	Loss 3.0147 (3.0516)	Prec@1 30.078 (29.513)	Prec@5 61.328 (58.420)
Epoch: [49][480/7045]	Time 0.102 (0.258)	Data 0.003 (0.194)	Loss 2.9515 (3.0506)	Prec@1 30.469 (29.527)	Prec@5 59.766 (58.427)
Epoch: [49][490/7045]	Time 0.228 (0.258)	Data 0.176 (0.194)	Loss 3.1002 (3.0508)	Prec@1 30.078 (29.524)	Prec@5 58.594 (58.443)
Epoch: [49][500/7045]	Time 0.108 (0.258)	Data 0.019 (0.194)	Loss 2.9298 (3.0517)	Prec@1 29.688 (29.507)	Prec@5 60.547 (58.428)
Epoch: [49][510/7045]	Time 0.572 (0.258)	Data 0.521 (0.194)	Loss 2.9543 (3.0522)	Prec@1 35.547 (29.505)	Prec@5 58.203 (58.398)
Epoch: [49][520/7045]	Time 0.102 (0.258)	Data 0.012 (0.193)	Loss 3.0310 (3.0514)	Prec@1 30.859 (29.519)	Prec@5 55.859 (58.406)
Epoch: [49][530/7045]	Time 0.327 (0.258)	Data 0.274 (0.194)	Loss 2.9204 (3.0518)	Prec@1 32.031 (29.498)	Prec@5 62.109 (58.400)
Epoch: [49][540/7045]	Time 0.114 (0.257)	Data 0.063 (0.193)	Loss 3.2404 (3.0524)	Prec@1 30.859 (29.495)	Prec@5 53.906 (58.362)
Epoch: [49][550/7045]	Time 0.192 (0.258)	Data 0.131 (0.193)	Loss 3.0094 (3.0539)	Prec@1 28.906 (29.457)	Prec@5 57.422 (58.340)
Epoch: [49][560/7045]	Time 0.102 (0.257)	Data 0.001 (0.192)	Loss 2.9072 (3.0545)	Prec@1 33.984 (29.442)	Prec@5 63.281 (58.339)
Epoch: [49][570/7045]	Time 0.171 (0.257)	Data 0.119 (0.193)	Loss 3.3307 (3.0556)	Prec@1 26.562 (29.427)	Prec@5 51.172 (58.308)
Epoch: [49][580/7045]	Time 0.481 (0.257)	Data 0.429 (0.193)	Loss 3.1132 (3.0555)	Prec@1 25.391 (29.406)	Prec@5 56.641 (58.294)
Epoch: [49][590/7045]	Time 0.114 (0.257)	Data 0.052 (0.192)	Loss 3.0541 (3.0552)	Prec@1 28.125 (29.403)	Prec@5 58.203 (58.304)
Epoch: [49][600/7045]	Time 0.605 (0.257)	Data 0.545 (0.193)	Loss 3.0047 (3.0551)	Prec@1 29.688 (29.405)	Prec@5 58.203 (58.288)
Epoch: [49][610/7045]	Time 0.102 (0.257)	Data 0.044 (0.192)	Loss 3.0937 (3.0558)	Prec@1 30.078 (29.416)	Prec@5 54.297 (58.270)
Epoch: [49][620/7045]	Time 0.369 (0.257)	Data 0.318 (0.192)	Loss 3.1175 (3.0566)	Prec@1 26.172 (29.401)	Prec@5 57.031 (58.247)
Epoch: [49][630/7045]	Time 0.171 (0.256)	Data 0.121 (0.192)	Loss 3.0240 (3.0564)	Prec@1 32.031 (29.406)	Prec@5 59.766 (58.238)
Epoch: [49][640/7045]	Time 0.102 (0.257)	Data 0.020 (0.192)	Loss 3.1401 (3.0571)	Prec@1 28.516 (29.394)	Prec@5 56.641 (58.238)
Epoch: [49][650/7045]	Time 0.119 (0.256)	Data 0.067 (0.192)	Loss 3.1867 (3.0574)	Prec@1 30.078 (29.378)	Prec@5 58.594 (58.246)
Epoch: [49][660/7045]	Time 0.380 (0.257)	Data 0.329 (0.192)	Loss 3.0192 (3.0575)	Prec@1 30.469 (29.381)	Prec@5 57.031 (58.251)
Epoch: [49][670/7045]	Time 0.101 (0.256)	Data 0.001 (0.191)	Loss 3.0548 (3.0576)	Prec@1 28.125 (29.388)	Prec@5 54.297 (58.244)
Epoch: [49][680/7045]	Time 0.662 (0.257)	Data 0.603 (0.192)	Loss 3.1122 (3.0573)	Prec@1 26.953 (29.397)	Prec@5 56.250 (58.244)
Epoch: [49][690/7045]	Time 0.103 (0.256)	Data 0.016 (0.192)	Loss 2.7876 (3.0561)	Prec@1 37.891 (29.426)	Prec@5 61.328 (58.272)
Epoch: [49][700/7045]	Time 0.317 (0.256)	Data 0.266 (0.192)	Loss 3.1708 (3.0565)	Prec@1 26.172 (29.401)	Prec@5 57.812 (58.258)
Epoch: [49][710/7045]	Time 0.100 (0.256)	Data 0.001 (0.192)	Loss 3.0922 (3.0567)	Prec@1 26.562 (29.387)	Prec@5 55.469 (58.251)
Epoch: [49][720/7045]	Time 0.110 (0.256)	Data 0.059 (0.191)	Loss 3.1722 (3.0580)	Prec@1 28.516 (29.377)	Prec@5 56.641 (58.230)
Epoch: [49][730/7045]	Time 0.108 (0.257)	Data 0.001 (0.191)	Loss 3.1326 (3.0581)	Prec@1 25.391 (29.359)	Prec@5 55.469 (58.223)
Epoch: [49][740/7045]	Time 0.103 (0.256)	Data 0.001 (0.191)	Loss 3.1858 (3.0582)	Prec@1 28.125 (29.362)	Prec@5 55.078 (58.227)
Epoch: [49][750/7045]	Time 0.102 (0.256)	Data 0.007 (0.191)	Loss 3.0625 (3.0586)	Prec@1 27.734 (29.350)	Prec@5 56.250 (58.224)
Epoch: [49][760/7045]	Time 0.193 (0.256)	Data 0.143 (0.191)	Loss 3.0021 (3.0578)	Prec@1 27.344 (29.364)	Prec@5 59.766 (58.235)
Epoch: [49][770/7045]	Time 0.506 (0.256)	Data 0.454 (0.191)	Loss 3.0923 (3.0588)	Prec@1 28.125 (29.341)	Prec@5 57.812 (58.215)
Epoch: [49][780/7045]	Time 0.160 (0.256)	Data 0.107 (0.191)	Loss 3.0520 (3.0587)	Prec@1 30.078 (29.346)	Prec@5 58.984 (58.213)
Epoch: [49][790/7045]	Time 0.731 (0.256)	Data 0.680 (0.191)	Loss 2.9715 (3.0587)	Prec@1 28.516 (29.351)	Prec@5 56.641 (58.223)
Epoch: [49][800/7045]	Time 0.107 (0.256)	Data 0.001 (0.191)	Loss 2.9522 (3.0594)	Prec@1 29.688 (29.343)	Prec@5 58.594 (58.191)
Epoch: [49][810/7045]	Time 0.545 (0.256)	Data 0.486 (0.191)	Loss 3.0102 (3.0590)	Prec@1 33.203 (29.356)	Prec@5 60.547 (58.205)
Epoch: [49][820/7045]	Time 0.152 (0.256)	Data 0.100 (0.191)	Loss 3.2393 (3.0590)	Prec@1 26.562 (29.347)	Prec@5 54.297 (58.192)
Epoch: [49][830/7045]	Time 0.102 (0.256)	Data 0.047 (0.191)	Loss 3.2479 (3.0594)	Prec@1 25.391 (29.347)	Prec@5 52.734 (58.185)
Epoch: [49][840/7045]	Time 0.265 (0.256)	Data 0.214 (0.191)	Loss 3.0643 (3.0594)	Prec@1 29.297 (29.343)	Prec@5 57.422 (58.181)
Epoch: [49][850/7045]	Time 0.108 (0.256)	Data 0.009 (0.191)	Loss 3.0031 (3.0599)	Prec@1 28.906 (29.341)	Prec@5 58.203 (58.188)
Epoch: [49][860/7045]	Time 0.279 (0.256)	Data 0.229 (0.190)	Loss 3.0338 (3.0593)	Prec@1 29.688 (29.338)	Prec@5 59.375 (58.209)
Epoch: [49][870/7045]	Time 0.157 (0.256)	Data 0.105 (0.190)	Loss 3.0117 (3.0593)	Prec@1 27.344 (29.335)	Prec@5 60.156 (58.207)
Epoch: [49][880/7045]	Time 0.251 (0.256)	Data 0.201 (0.190)	Loss 3.1045 (3.0601)	Prec@1 28.906 (29.335)	Prec@5 58.594 (58.200)
Epoch: [49][890/7045]	Time 0.273 (0.256)	Data 0.222 (0.190)	Loss 3.0245 (3.0595)	Prec@1 29.688 (29.351)	Prec@5 57.031 (58.210)
Epoch: [49][900/7045]	Time 0.100 (0.256)	Data 0.001 (0.191)	Loss 3.1373 (3.0594)	Prec@1 28.906 (29.355)	Prec@5 55.078 (58.209)
Epoch: [49][910/7045]	Time 0.154 (0.255)	Data 0.100 (0.190)	Loss 3.0465 (3.0585)	Prec@1 30.859 (29.360)	Prec@5 57.031 (58.213)
Epoch: [49][920/7045]	Time 0.106 (0.255)	Data 0.007 (0.190)	Loss 2.9213 (3.0589)	Prec@1 31.641 (29.354)	Prec@5 61.328 (58.193)
Epoch: [49][930/7045]	Time 0.102 (0.255)	Data 0.001 (0.190)	Loss 3.1774 (3.0593)	Prec@1 23.047 (29.330)	Prec@5 54.297 (58.185)
Epoch: [49][940/7045]	Time 0.102 (0.255)	Data 0.003 (0.190)	Loss 2.9986 (3.0599)	Prec@1 27.734 (29.315)	Prec@5 62.891 (58.178)
Epoch: [49][950/7045]	Time 0.101 (0.255)	Data 0.008 (0.189)	Loss 3.2485 (3.0605)	Prec@1 26.172 (29.302)	Prec@5 53.516 (58.178)
Epoch: [49][960/7045]	Time 0.101 (0.255)	Data 0.048 (0.189)	Loss 2.9151 (3.0605)	Prec@1 32.031 (29.307)	Prec@5 60.938 (58.188)
Epoch: [49][970/7045]	Time 0.534 (0.255)	Data 0.477 (0.190)	Loss 3.0468 (3.0608)	Prec@1 30.469 (29.298)	Prec@5 57.031 (58.187)
Epoch: [49][980/7045]	Time 0.133 (0.255)	Data 0.083 (0.189)	Loss 2.9248 (3.0613)	Prec@1 33.594 (29.292)	Prec@5 59.375 (58.187)
Epoch: [49][990/7045]	Time 0.536 (0.255)	Data 0.478 (0.190)	Loss 3.0605 (3.0605)	Prec@1 28.906 (29.301)	Prec@5 57.422 (58.209)
Epoch: [49][1000/7045]	Time 0.221 (0.255)	Data 0.170 (0.189)	Loss 3.1100 (3.0605)	Prec@1 29.688 (29.296)	Prec@5 54.297 (58.207)
Epoch: [49][1010/7045]	Time 0.181 (0.255)	Data 0.130 (0.189)	Loss 2.7540 (3.0599)	Prec@1 32.422 (29.300)	Prec@5 66.406 (58.219)
Epoch: [49][1020/7045]	Time 0.582 (0.255)	Data 0.531 (0.190)	Loss 2.9210 (3.0596)	Prec@1 28.125 (29.310)	Prec@5 60.547 (58.226)
Epoch: [49][1030/7045]	Time 0.110 (0.255)	Data 0.001 (0.189)	Loss 2.9494 (3.0592)	Prec@1 32.031 (29.321)	Prec@5 58.984 (58.236)
Epoch: [49][1040/7045]	Time 0.641 (0.255)	Data 0.590 (0.189)	Loss 3.0579 (3.0591)	Prec@1 32.812 (29.324)	Prec@5 58.203 (58.236)
Epoch: [49][1050/7045]	Time 0.208 (0.255)	Data 0.157 (0.189)	Loss 3.0405 (3.0591)	Prec@1 25.781 (29.313)	Prec@5 62.500 (58.243)
Epoch: [49][1060/7045]	Time 0.391 (0.255)	Data 0.340 (0.189)	Loss 2.7610 (3.0591)	Prec@1 35.938 (29.308)	Prec@5 66.406 (58.241)
Epoch: [49][1070/7045]	Time 0.113 (0.255)	Data 0.062 (0.189)	Loss 2.7520 (3.0590)	Prec@1 33.984 (29.306)	Prec@5 63.281 (58.244)
Epoch: [49][1080/7045]	Time 0.230 (0.255)	Data 0.180 (0.189)	Loss 3.1683 (3.0590)	Prec@1 25.391 (29.308)	Prec@5 58.203 (58.243)
Epoch: [49][1090/7045]	Time 0.105 (0.255)	Data 0.001 (0.189)	Loss 2.9988 (3.0589)	Prec@1 28.906 (29.308)	Prec@5 60.156 (58.237)
Epoch: [49][1100/7045]	Time 0.349 (0.255)	Data 0.298 (0.189)	Loss 3.0801 (3.0589)	Prec@1 26.953 (29.317)	Prec@5 58.984 (58.234)
Epoch: [49][1110/7045]	Time 0.102 (0.255)	Data 0.007 (0.189)	Loss 2.9310 (3.0588)	Prec@1 31.250 (29.310)	Prec@5 60.547 (58.231)
Epoch: [49][1120/7045]	Time 0.102 (0.255)	Data 0.001 (0.189)	Loss 3.1442 (3.0590)	Prec@1 27.344 (29.297)	Prec@5 57.031 (58.227)
Epoch: [49][1130/7045]	Time 0.113 (0.254)	Data 0.061 (0.189)	Loss 3.0015 (3.0593)	Prec@1 27.734 (29.295)	Prec@5 57.812 (58.221)
Epoch: [49][1140/7045]	Time 0.198 (0.255)	Data 0.147 (0.189)	Loss 2.9982 (3.0593)	Prec@1 29.297 (29.289)	Prec@5 58.203 (58.220)
Epoch: [49][1150/7045]	Time 0.197 (0.254)	Data 0.146 (0.189)	Loss 3.1090 (3.0596)	Prec@1 28.125 (29.291)	Prec@5 57.422 (58.209)
Epoch: [49][1160/7045]	Time 0.237 (0.254)	Data 0.186 (0.189)	Loss 3.3015 (3.0596)	Prec@1 29.297 (29.285)	Prec@5 55.078 (58.203)
Epoch: [49][1170/7045]	Time 0.104 (0.254)	Data 0.005 (0.189)	Loss 2.8091 (3.0592)	Prec@1 34.766 (29.297)	Prec@5 63.672 (58.217)
Epoch: [49][1180/7045]	Time 0.181 (0.254)	Data 0.130 (0.189)	Loss 2.8305 (3.0591)	Prec@1 32.422 (29.295)	Prec@5 63.281 (58.212)
Epoch: [49][1190/7045]	Time 0.208 (0.254)	Data 0.156 (0.189)	Loss 2.8960 (3.0586)	Prec@1 29.688 (29.299)	Prec@5 57.422 (58.214)
Epoch: [49][1200/7045]	Time 0.102 (0.254)	Data 0.001 (0.189)	Loss 3.1420 (3.0588)	Prec@1 28.906 (29.299)	Prec@5 58.984 (58.206)
Epoch: [49][1210/7045]	Time 0.102 (0.254)	Data 0.048 (0.189)	Loss 2.9728 (3.0592)	Prec@1 32.422 (29.296)	Prec@5 60.547 (58.197)
Epoch: [49][1220/7045]	Time 0.100 (0.254)	Data 0.001 (0.189)	Loss 2.7982 (3.0590)	Prec@1 32.031 (29.292)	Prec@5 63.281 (58.196)
Epoch: [49][1230/7045]	Time 0.102 (0.254)	Data 0.002 (0.189)	Loss 3.3093 (3.0592)	Prec@1 29.297 (29.297)	Prec@5 53.516 (58.188)
Epoch: [49][1240/7045]	Time 0.102 (0.254)	Data 0.001 (0.188)	Loss 3.0750 (3.0594)	Prec@1 27.344 (29.286)	Prec@5 57.812 (58.179)
Epoch: [49][1250/7045]	Time 0.176 (0.254)	Data 0.117 (0.189)	Loss 3.1508 (3.0598)	Prec@1 28.516 (29.285)	Prec@5 55.078 (58.168)
Epoch: [49][1260/7045]	Time 0.313 (0.254)	Data 0.260 (0.189)	Loss 3.1313 (3.0599)	Prec@1 27.734 (29.280)	Prec@5 57.031 (58.164)
Epoch: [49][1270/7045]	Time 0.395 (0.254)	Data 0.343 (0.189)	Loss 3.1002 (3.0596)	Prec@1 30.859 (29.286)	Prec@5 55.078 (58.164)
Epoch: [49][1280/7045]	Time 0.481 (0.254)	Data 0.430 (0.189)	Loss 3.4228 (3.0596)	Prec@1 25.000 (29.282)	Prec@5 50.781 (58.172)
Epoch: [49][1290/7045]	Time 0.353 (0.254)	Data 0.289 (0.188)	Loss 3.0513 (3.0595)	Prec@1 32.422 (29.286)	Prec@5 57.031 (58.176)
Epoch: [49][1300/7045]	Time 0.499 (0.254)	Data 0.443 (0.188)	Loss 3.0291 (3.0594)	Prec@1 28.906 (29.286)	Prec@5 59.766 (58.175)
Epoch: [49][1310/7045]	Time 0.105 (0.254)	Data 0.052 (0.188)	Loss 3.0828 (3.0591)	Prec@1 31.250 (29.294)	Prec@5 58.984 (58.179)
Epoch: [49][1320/7045]	Time 0.416 (0.254)	Data 0.364 (0.188)	Loss 3.0309 (3.0587)	Prec@1 30.859 (29.307)	Prec@5 56.250 (58.186)
Epoch: [49][1330/7045]	Time 0.319 (0.254)	Data 0.267 (0.188)	Loss 3.0983 (3.0586)	Prec@1 31.250 (29.317)	Prec@5 58.203 (58.180)
Epoch: [49][1340/7045]	Time 0.457 (0.254)	Data 0.406 (0.188)	Loss 2.9707 (3.0584)	Prec@1 29.297 (29.317)	Prec@5 62.500 (58.186)
Epoch: [49][1350/7045]	Time 0.287 (0.253)	Data 0.235 (0.188)	Loss 3.0149 (3.0583)	Prec@1 27.734 (29.310)	Prec@5 57.422 (58.189)
Epoch: [49][1360/7045]	Time 0.342 (0.253)	Data 0.291 (0.188)	Loss 2.7671 (3.0581)	Prec@1 33.594 (29.313)	Prec@5 64.453 (58.193)
Epoch: [49][1370/7045]	Time 0.264 (0.253)	Data 0.214 (0.188)	Loss 3.1356 (3.0581)	Prec@1 28.125 (29.306)	Prec@5 57.031 (58.195)
Epoch: [49][1380/7045]	Time 0.193 (0.253)	Data 0.141 (0.188)	Loss 3.3257 (3.0579)	Prec@1 25.391 (29.312)	Prec@5 55.469 (58.198)
Epoch: [49][1390/7045]	Time 0.487 (0.254)	Data 0.436 (0.189)	Loss 3.1705 (3.0583)	Prec@1 28.125 (29.310)	Prec@5 55.469 (58.185)
Epoch: [49][1400/7045]	Time 0.102 (0.253)	Data 0.001 (0.188)	Loss 3.1122 (3.0581)	Prec@1 30.469 (29.311)	Prec@5 60.156 (58.189)
Epoch: [49][1410/7045]	Time 0.516 (0.253)	Data 0.463 (0.189)	Loss 3.0030 (3.0577)	Prec@1 29.688 (29.319)	Prec@5 59.375 (58.195)
Epoch: [49][1420/7045]	Time 0.107 (0.253)	Data 0.001 (0.188)	Loss 2.8787 (3.0579)	Prec@1 33.984 (29.319)	Prec@5 64.062 (58.199)
Epoch: [49][1430/7045]	Time 0.600 (0.253)	Data 0.550 (0.188)	Loss 3.0458 (3.0575)	Prec@1 31.641 (29.334)	Prec@5 56.250 (58.202)
Epoch: [49][1440/7045]	Time 0.407 (0.253)	Data 0.354 (0.188)	Loss 2.9912 (3.0575)	Prec@1 29.297 (29.332)	Prec@5 58.594 (58.210)
Epoch: [49][1450/7045]	Time 0.449 (0.253)	Data 0.397 (0.188)	Loss 2.8140 (3.0573)	Prec@1 31.250 (29.329)	Prec@5 66.797 (58.221)
Epoch: [49][1460/7045]	Time 0.522 (0.253)	Data 0.470 (0.188)	Loss 3.0733 (3.0571)	Prec@1 30.859 (29.329)	Prec@5 57.812 (58.225)
Epoch: [49][1470/7045]	Time 0.124 (0.253)	Data 0.065 (0.188)	Loss 3.2071 (3.0570)	Prec@1 30.469 (29.327)	Prec@5 56.641 (58.224)
Epoch: [49][1480/7045]	Time 0.233 (0.253)	Data 0.183 (0.188)	Loss 2.9557 (3.0569)	Prec@1 28.125 (29.326)	Prec@5 58.984 (58.223)
Epoch: [49][1490/7045]	Time 0.108 (0.253)	Data 0.047 (0.188)	Loss 3.1275 (3.0567)	Prec@1 26.562 (29.329)	Prec@5 58.984 (58.235)
Epoch: [49][1500/7045]	Time 0.517 (0.253)	Data 0.466 (0.188)	Loss 3.1510 (3.0569)	Prec@1 26.953 (29.328)	Prec@5 58.203 (58.235)
Epoch: [49][1510/7045]	Time 0.103 (0.253)	Data 0.002 (0.188)	Loss 2.9255 (3.0570)	Prec@1 33.203 (29.328)	Prec@5 57.812 (58.238)
Epoch: [49][1520/7045]	Time 0.652 (0.253)	Data 0.591 (0.188)	Loss 3.0982 (3.0570)	Prec@1 26.953 (29.324)	Prec@5 55.859 (58.240)
Epoch: [49][1530/7045]	Time 0.101 (0.253)	Data 0.001 (0.188)	Loss 3.0450 (3.0567)	Prec@1 30.859 (29.325)	Prec@5 58.984 (58.251)
Epoch: [49][1540/7045]	Time 0.540 (0.253)	Data 0.488 (0.188)	Loss 3.0627 (3.0568)	Prec@1 33.984 (29.326)	Prec@5 57.422 (58.247)
Epoch: [49][1550/7045]	Time 0.110 (0.253)	Data 0.011 (0.188)	Loss 3.1292 (3.0566)	Prec@1 27.344 (29.333)	Prec@5 57.031 (58.252)
Epoch: [49][1560/7045]	Time 0.433 (0.253)	Data 0.381 (0.188)	Loss 3.1557 (3.0566)	Prec@1 32.031 (29.332)	Prec@5 57.812 (58.264)
Epoch: [49][1570/7045]	Time 0.155 (0.253)	Data 0.096 (0.188)	Loss 2.9474 (3.0566)	Prec@1 31.641 (29.337)	Prec@5 61.719 (58.254)
Epoch: [49][1580/7045]	Time 0.500 (0.253)	Data 0.441 (0.188)	Loss 3.0235 (3.0567)	Prec@1 29.688 (29.337)	Prec@5 60.156 (58.252)
Epoch: [49][1590/7045]	Time 0.202 (0.253)	Data 0.149 (0.188)	Loss 2.7903 (3.0561)	Prec@1 32.812 (29.341)	Prec@5 61.719 (58.265)
Epoch: [49][1600/7045]	Time 0.385 (0.253)	Data 0.333 (0.188)	Loss 2.9397 (3.0561)	Prec@1 32.812 (29.340)	Prec@5 59.375 (58.263)
Epoch: [49][1610/7045]	Time 0.634 (0.253)	Data 0.581 (0.188)	Loss 3.1182 (3.0563)	Prec@1 25.391 (29.335)	Prec@5 53.125 (58.253)
Epoch: [49][1620/7045]	Time 0.102 (0.253)	Data 0.001 (0.188)	Loss 3.1253 (3.0563)	Prec@1 28.125 (29.331)	Prec@5 57.031 (58.255)
Epoch: [49][1630/7045]	Time 0.515 (0.253)	Data 0.464 (0.188)	Loss 3.1365 (3.0563)	Prec@1 30.859 (29.330)	Prec@5 53.516 (58.247)
Epoch: [49][1640/7045]	Time 0.100 (0.253)	Data 0.001 (0.188)	Loss 3.2384 (3.0565)	Prec@1 28.125 (29.328)	Prec@5 53.906 (58.245)
Epoch: [49][1650/7045]	Time 0.303 (0.253)	Data 0.252 (0.188)	Loss 3.0124 (3.0563)	Prec@1 30.469 (29.324)	Prec@5 59.766 (58.251)
Epoch: [49][1660/7045]	Time 0.224 (0.253)	Data 0.172 (0.188)	Loss 3.0531 (3.0566)	Prec@1 30.469 (29.317)	Prec@5 58.984 (58.245)
Epoch: [49][1670/7045]	Time 0.101 (0.253)	Data 0.001 (0.188)	Loss 3.2364 (3.0568)	Prec@1 26.172 (29.309)	Prec@5 52.344 (58.232)
Epoch: [49][1680/7045]	Time 0.443 (0.253)	Data 0.392 (0.188)	Loss 3.0401 (3.0569)	Prec@1 29.688 (29.302)	Prec@5 57.812 (58.235)
Epoch: [49][1690/7045]	Time 0.196 (0.252)	Data 0.144 (0.188)	Loss 2.8285 (3.0566)	Prec@1 31.641 (29.309)	Prec@5 62.500 (58.241)
Epoch: [49][1700/7045]	Time 0.380 (0.253)	Data 0.329 (0.188)	Loss 3.1725 (3.0565)	Prec@1 25.000 (29.311)	Prec@5 53.906 (58.235)
Epoch: [49][1710/7045]	Time 0.281 (0.252)	Data 0.230 (0.188)	Loss 2.9894 (3.0568)	Prec@1 30.078 (29.310)	Prec@5 60.156 (58.229)
Epoch: [49][1720/7045]	Time 0.296 (0.252)	Data 0.245 (0.188)	Loss 3.1120 (3.0567)	Prec@1 24.609 (29.307)	Prec@5 58.203 (58.233)
Epoch: [49][1730/7045]	Time 0.169 (0.252)	Data 0.117 (0.188)	Loss 2.8067 (3.0568)	Prec@1 33.984 (29.307)	Prec@5 66.016 (58.232)
Epoch: [49][1740/7045]	Time 0.364 (0.252)	Data 0.305 (0.188)	Loss 3.2036 (3.0570)	Prec@1 27.734 (29.304)	Prec@5 53.906 (58.219)
Epoch: [49][1750/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 2.8529 (3.0570)	Prec@1 32.812 (29.308)	Prec@5 61.719 (58.223)
Epoch: [49][1760/7045]	Time 0.306 (0.252)	Data 0.248 (0.188)	Loss 3.1270 (3.0571)	Prec@1 28.906 (29.308)	Prec@5 55.469 (58.219)
Epoch: [49][1770/7045]	Time 0.103 (0.252)	Data 0.050 (0.187)	Loss 3.0243 (3.0572)	Prec@1 29.688 (29.306)	Prec@5 55.469 (58.214)
Epoch: [49][1780/7045]	Time 0.413 (0.252)	Data 0.362 (0.188)	Loss 3.1865 (3.0575)	Prec@1 26.953 (29.300)	Prec@5 57.422 (58.207)
Epoch: [49][1790/7045]	Time 0.108 (0.252)	Data 0.056 (0.187)	Loss 3.0526 (3.0580)	Prec@1 29.297 (29.289)	Prec@5 58.984 (58.200)
Epoch: [49][1800/7045]	Time 0.387 (0.252)	Data 0.330 (0.188)	Loss 3.0901 (3.0582)	Prec@1 28.906 (29.286)	Prec@5 56.250 (58.196)
Epoch: [49][1810/7045]	Time 0.172 (0.252)	Data 0.120 (0.187)	Loss 3.0773 (3.0583)	Prec@1 29.688 (29.285)	Prec@5 60.547 (58.194)
Epoch: [49][1820/7045]	Time 0.216 (0.252)	Data 0.165 (0.188)	Loss 3.0071 (3.0585)	Prec@1 29.297 (29.283)	Prec@5 58.984 (58.189)
Epoch: [49][1830/7045]	Time 0.101 (0.252)	Data 0.006 (0.187)	Loss 3.2057 (3.0589)	Prec@1 30.469 (29.280)	Prec@5 55.859 (58.186)
Epoch: [49][1840/7045]	Time 0.240 (0.252)	Data 0.189 (0.188)	Loss 3.0648 (3.0585)	Prec@1 32.031 (29.299)	Prec@5 61.719 (58.202)
Epoch: [49][1850/7045]	Time 0.292 (0.252)	Data 0.241 (0.188)	Loss 3.0737 (3.0587)	Prec@1 30.859 (29.296)	Prec@5 61.328 (58.202)
Epoch: [49][1860/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 3.0043 (3.0589)	Prec@1 25.781 (29.293)	Prec@5 58.984 (58.199)
Epoch: [49][1870/7045]	Time 0.101 (0.252)	Data 0.001 (0.188)	Loss 3.1620 (3.0592)	Prec@1 27.344 (29.291)	Prec@5 55.859 (58.191)
Epoch: [49][1880/7045]	Time 0.110 (0.252)	Data 0.006 (0.188)	Loss 3.0542 (3.0588)	Prec@1 32.031 (29.305)	Prec@5 58.203 (58.196)
Epoch: [49][1890/7045]	Time 0.695 (0.252)	Data 0.637 (0.188)	Loss 2.9085 (3.0586)	Prec@1 33.984 (29.311)	Prec@5 61.719 (58.203)
Epoch: [49][1900/7045]	Time 0.101 (0.252)	Data 0.001 (0.188)	Loss 3.1304 (3.0587)	Prec@1 25.391 (29.309)	Prec@5 60.156 (58.194)
Epoch: [49][1910/7045]	Time 0.546 (0.252)	Data 0.488 (0.188)	Loss 2.9868 (3.0584)	Prec@1 36.719 (29.313)	Prec@5 57.031 (58.199)
Epoch: [49][1920/7045]	Time 0.104 (0.252)	Data 0.052 (0.188)	Loss 3.2175 (3.0584)	Prec@1 25.391 (29.313)	Prec@5 50.391 (58.196)
Epoch: [49][1930/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 3.1423 (3.0585)	Prec@1 26.172 (29.309)	Prec@5 53.516 (58.194)
Epoch: [49][1940/7045]	Time 0.203 (0.252)	Data 0.153 (0.188)	Loss 3.1506 (3.0588)	Prec@1 27.734 (29.306)	Prec@5 57.031 (58.182)
Epoch: [49][1950/7045]	Time 0.253 (0.252)	Data 0.203 (0.188)	Loss 2.9924 (3.0589)	Prec@1 28.516 (29.300)	Prec@5 60.547 (58.178)
Epoch: [49][1960/7045]	Time 0.607 (0.252)	Data 0.556 (0.188)	Loss 2.9995 (3.0588)	Prec@1 30.859 (29.305)	Prec@5 62.891 (58.182)
Epoch: [49][1970/7045]	Time 0.210 (0.252)	Data 0.158 (0.188)	Loss 2.8534 (3.0589)	Prec@1 33.594 (29.304)	Prec@5 63.672 (58.182)
Epoch: [49][1980/7045]	Time 0.423 (0.252)	Data 0.371 (0.188)	Loss 3.0536 (3.0587)	Prec@1 24.609 (29.306)	Prec@5 59.375 (58.185)
Epoch: [49][1990/7045]	Time 0.167 (0.252)	Data 0.116 (0.188)	Loss 2.9635 (3.0585)	Prec@1 28.516 (29.309)	Prec@5 60.156 (58.196)
Epoch: [49][2000/7045]	Time 0.356 (0.252)	Data 0.305 (0.188)	Loss 3.0462 (3.0580)	Prec@1 28.125 (29.314)	Prec@5 62.891 (58.206)
Epoch: [49][2010/7045]	Time 0.528 (0.252)	Data 0.476 (0.188)	Loss 3.0940 (3.0578)	Prec@1 29.688 (29.315)	Prec@5 60.547 (58.215)
Epoch: [49][2020/7045]	Time 0.106 (0.252)	Data 0.044 (0.188)	Loss 3.3425 (3.0579)	Prec@1 21.875 (29.311)	Prec@5 56.250 (58.211)
Epoch: [49][2030/7045]	Time 0.672 (0.252)	Data 0.621 (0.188)	Loss 3.0970 (3.0581)	Prec@1 30.469 (29.314)	Prec@5 52.344 (58.205)
Epoch: [49][2040/7045]	Time 0.129 (0.252)	Data 0.077 (0.187)	Loss 3.1014 (3.0581)	Prec@1 30.078 (29.312)	Prec@5 62.109 (58.207)
Epoch: [49][2050/7045]	Time 0.535 (0.252)	Data 0.483 (0.188)	Loss 2.9764 (3.0578)	Prec@1 32.422 (29.321)	Prec@5 58.984 (58.212)
Epoch: [49][2060/7045]	Time 0.102 (0.252)	Data 0.001 (0.187)	Loss 2.9086 (3.0579)	Prec@1 31.250 (29.321)	Prec@5 64.062 (58.207)
Epoch: [49][2070/7045]	Time 0.570 (0.252)	Data 0.520 (0.187)	Loss 3.0599 (3.0581)	Prec@1 30.078 (29.321)	Prec@5 53.906 (58.197)
Epoch: [49][2080/7045]	Time 0.108 (0.252)	Data 0.050 (0.187)	Loss 3.0474 (3.0582)	Prec@1 28.906 (29.322)	Prec@5 60.938 (58.192)
Epoch: [49][2090/7045]	Time 0.551 (0.252)	Data 0.500 (0.187)	Loss 3.0362 (3.0575)	Prec@1 25.391 (29.337)	Prec@5 62.109 (58.206)
Epoch: [49][2100/7045]	Time 0.102 (0.251)	Data 0.002 (0.187)	Loss 3.1920 (3.0574)	Prec@1 29.688 (29.340)	Prec@5 58.594 (58.206)
Epoch: [49][2110/7045]	Time 0.136 (0.252)	Data 0.084 (0.187)	Loss 3.1478 (3.0575)	Prec@1 26.953 (29.336)	Prec@5 56.250 (58.204)
Epoch: [49][2120/7045]	Time 0.112 (0.251)	Data 0.060 (0.187)	Loss 2.9312 (3.0576)	Prec@1 30.859 (29.333)	Prec@5 62.500 (58.204)
Epoch: [49][2130/7045]	Time 0.100 (0.251)	Data 0.018 (0.187)	Loss 3.2091 (3.0575)	Prec@1 25.781 (29.335)	Prec@5 51.953 (58.211)
Epoch: [49][2140/7045]	Time 0.108 (0.251)	Data 0.055 (0.187)	Loss 3.1556 (3.0579)	Prec@1 27.344 (29.334)	Prec@5 58.203 (58.204)
Epoch: [49][2150/7045]	Time 0.102 (0.251)	Data 0.050 (0.187)	Loss 2.9353 (3.0578)	Prec@1 30.469 (29.334)	Prec@5 58.594 (58.201)
Epoch: [49][2160/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.0535 (3.0577)	Prec@1 28.125 (29.333)	Prec@5 58.984 (58.200)
Epoch: [49][2170/7045]	Time 0.106 (0.251)	Data 0.055 (0.187)	Loss 3.2091 (3.0580)	Prec@1 28.125 (29.331)	Prec@5 54.688 (58.196)
Epoch: [49][2180/7045]	Time 0.119 (0.251)	Data 0.067 (0.187)	Loss 3.2024 (3.0579)	Prec@1 21.875 (29.329)	Prec@5 53.125 (58.195)
Epoch: [49][2190/7045]	Time 0.166 (0.251)	Data 0.114 (0.187)	Loss 2.9838 (3.0580)	Prec@1 27.734 (29.331)	Prec@5 60.547 (58.195)
Epoch: [49][2200/7045]	Time 0.239 (0.251)	Data 0.188 (0.187)	Loss 3.1259 (3.0578)	Prec@1 28.125 (29.338)	Prec@5 57.031 (58.199)
Epoch: [49][2210/7045]	Time 0.155 (0.251)	Data 0.103 (0.187)	Loss 2.9674 (3.0577)	Prec@1 26.562 (29.340)	Prec@5 59.766 (58.198)
Epoch: [49][2220/7045]	Time 0.180 (0.251)	Data 0.129 (0.187)	Loss 3.0549 (3.0575)	Prec@1 28.906 (29.346)	Prec@5 55.859 (58.205)
Epoch: [49][2230/7045]	Time 0.103 (0.251)	Data 0.001 (0.187)	Loss 3.1560 (3.0575)	Prec@1 24.219 (29.340)	Prec@5 56.250 (58.207)
Epoch: [49][2240/7045]	Time 0.101 (0.251)	Data 0.006 (0.187)	Loss 3.2612 (3.0577)	Prec@1 26.172 (29.336)	Prec@5 55.859 (58.201)
Epoch: [49][2250/7045]	Time 0.102 (0.251)	Data 0.018 (0.187)	Loss 2.9972 (3.0580)	Prec@1 24.219 (29.328)	Prec@5 60.156 (58.196)
Epoch: [49][2260/7045]	Time 0.103 (0.251)	Data 0.046 (0.187)	Loss 3.2212 (3.0581)	Prec@1 26.172 (29.329)	Prec@5 51.562 (58.195)
Epoch: [49][2270/7045]	Time 0.335 (0.251)	Data 0.283 (0.187)	Loss 3.1589 (3.0582)	Prec@1 28.125 (29.332)	Prec@5 57.812 (58.194)
Epoch: [49][2280/7045]	Time 0.103 (0.251)	Data 0.050 (0.187)	Loss 2.9029 (3.0583)	Prec@1 32.422 (29.334)	Prec@5 60.547 (58.196)
Epoch: [49][2290/7045]	Time 0.398 (0.251)	Data 0.347 (0.187)	Loss 3.0470 (3.0586)	Prec@1 31.250 (29.327)	Prec@5 60.156 (58.189)
Epoch: [49][2300/7045]	Time 0.103 (0.251)	Data 0.001 (0.187)	Loss 3.1958 (3.0586)	Prec@1 28.125 (29.330)	Prec@5 57.422 (58.189)
Epoch: [49][2310/7045]	Time 0.592 (0.251)	Data 0.540 (0.187)	Loss 2.8716 (3.0586)	Prec@1 28.125 (29.327)	Prec@5 63.281 (58.189)
Epoch: [49][2320/7045]	Time 0.108 (0.251)	Data 0.049 (0.187)	Loss 3.0794 (3.0583)	Prec@1 27.734 (29.320)	Prec@5 58.203 (58.201)
Epoch: [49][2330/7045]	Time 0.555 (0.251)	Data 0.504 (0.187)	Loss 3.0927 (3.0586)	Prec@1 28.125 (29.316)	Prec@5 56.250 (58.199)
Epoch: [49][2340/7045]	Time 0.139 (0.251)	Data 0.089 (0.187)	Loss 3.1586 (3.0584)	Prec@1 28.516 (29.317)	Prec@5 57.422 (58.200)
Epoch: [49][2350/7045]	Time 0.345 (0.251)	Data 0.294 (0.187)	Loss 2.8736 (3.0583)	Prec@1 35.156 (29.316)	Prec@5 62.500 (58.200)
Epoch: [49][2360/7045]	Time 0.102 (0.251)	Data 0.050 (0.187)	Loss 3.1762 (3.0583)	Prec@1 28.516 (29.313)	Prec@5 56.641 (58.197)
Epoch: [49][2370/7045]	Time 0.504 (0.251)	Data 0.453 (0.187)	Loss 3.2581 (3.0583)	Prec@1 28.516 (29.315)	Prec@5 56.250 (58.199)
Epoch: [49][2380/7045]	Time 0.103 (0.251)	Data 0.001 (0.187)	Loss 3.1045 (3.0583)	Prec@1 28.906 (29.309)	Prec@5 57.031 (58.198)
Epoch: [49][2390/7045]	Time 0.361 (0.251)	Data 0.310 (0.187)	Loss 3.1611 (3.0584)	Prec@1 26.953 (29.307)	Prec@5 50.781 (58.193)
Epoch: [49][2400/7045]	Time 0.224 (0.251)	Data 0.173 (0.187)	Loss 3.1101 (3.0587)	Prec@1 30.469 (29.306)	Prec@5 57.031 (58.186)
Epoch: [49][2410/7045]	Time 0.475 (0.251)	Data 0.419 (0.187)	Loss 3.1361 (3.0588)	Prec@1 28.516 (29.305)	Prec@5 54.297 (58.183)
Epoch: [49][2420/7045]	Time 0.236 (0.251)	Data 0.185 (0.187)	Loss 3.0806 (3.0587)	Prec@1 32.031 (29.305)	Prec@5 56.641 (58.183)
Epoch: [49][2430/7045]	Time 0.193 (0.251)	Data 0.135 (0.187)	Loss 3.0865 (3.0587)	Prec@1 27.734 (29.304)	Prec@5 56.250 (58.185)
Epoch: [49][2440/7045]	Time 0.337 (0.251)	Data 0.285 (0.187)	Loss 3.1718 (3.0587)	Prec@1 30.078 (29.304)	Prec@5 57.422 (58.184)
Epoch: [49][2450/7045]	Time 0.099 (0.251)	Data 0.001 (0.187)	Loss 3.0609 (3.0587)	Prec@1 32.422 (29.306)	Prec@5 57.031 (58.183)
Epoch: [49][2460/7045]	Time 0.244 (0.251)	Data 0.193 (0.187)	Loss 2.9789 (3.0586)	Prec@1 32.422 (29.312)	Prec@5 61.719 (58.184)
Epoch: [49][2470/7045]	Time 0.102 (0.251)	Data 0.007 (0.187)	Loss 3.1131 (3.0590)	Prec@1 30.469 (29.307)	Prec@5 56.641 (58.179)
Epoch: [49][2480/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.9752 (3.0587)	Prec@1 32.422 (29.305)	Prec@5 60.938 (58.188)
Epoch: [49][2490/7045]	Time 0.160 (0.251)	Data 0.110 (0.187)	Loss 3.0066 (3.0589)	Prec@1 29.297 (29.304)	Prec@5 58.203 (58.182)
Epoch: [49][2500/7045]	Time 0.409 (0.251)	Data 0.359 (0.187)	Loss 2.9472 (3.0589)	Prec@1 30.078 (29.305)	Prec@5 64.453 (58.181)
Epoch: [49][2510/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 2.8203 (3.0587)	Prec@1 33.203 (29.306)	Prec@5 59.375 (58.185)
Epoch: [49][2520/7045]	Time 0.591 (0.251)	Data 0.540 (0.187)	Loss 3.1179 (3.0587)	Prec@1 29.297 (29.304)	Prec@5 55.469 (58.186)
Epoch: [49][2530/7045]	Time 0.214 (0.251)	Data 0.163 (0.187)	Loss 3.0668 (3.0591)	Prec@1 26.953 (29.297)	Prec@5 57.812 (58.178)
Epoch: [49][2540/7045]	Time 0.479 (0.251)	Data 0.427 (0.187)	Loss 3.1141 (3.0589)	Prec@1 26.562 (29.301)	Prec@5 59.375 (58.185)
Epoch: [49][2550/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 3.1460 (3.0587)	Prec@1 28.516 (29.302)	Prec@5 55.859 (58.188)
Epoch: [49][2560/7045]	Time 0.250 (0.251)	Data 0.200 (0.187)	Loss 3.1050 (3.0586)	Prec@1 30.078 (29.305)	Prec@5 55.469 (58.190)
Epoch: [49][2570/7045]	Time 0.326 (0.251)	Data 0.275 (0.187)	Loss 3.1475 (3.0584)	Prec@1 26.172 (29.308)	Prec@5 55.859 (58.196)
Epoch: [49][2580/7045]	Time 0.183 (0.251)	Data 0.132 (0.187)	Loss 3.0798 (3.0582)	Prec@1 28.906 (29.314)	Prec@5 62.109 (58.201)
Epoch: [49][2590/7045]	Time 0.335 (0.251)	Data 0.285 (0.187)	Loss 3.0879 (3.0581)	Prec@1 28.125 (29.317)	Prec@5 56.250 (58.202)
Epoch: [49][2600/7045]	Time 0.373 (0.251)	Data 0.322 (0.187)	Loss 3.1606 (3.0581)	Prec@1 28.125 (29.319)	Prec@5 55.859 (58.203)
Epoch: [49][2610/7045]	Time 0.406 (0.251)	Data 0.354 (0.187)	Loss 3.1458 (3.0580)	Prec@1 26.562 (29.318)	Prec@5 58.594 (58.204)
Epoch: [49][2620/7045]	Time 0.103 (0.251)	Data 0.049 (0.187)	Loss 3.1320 (3.0579)	Prec@1 29.688 (29.319)	Prec@5 57.422 (58.208)
Epoch: [49][2630/7045]	Time 0.472 (0.251)	Data 0.422 (0.188)	Loss 3.2541 (3.0579)	Prec@1 26.953 (29.321)	Prec@5 51.953 (58.205)
Epoch: [49][2640/7045]	Time 0.303 (0.251)	Data 0.253 (0.187)	Loss 2.9842 (3.0579)	Prec@1 31.641 (29.323)	Prec@5 61.328 (58.210)
Epoch: [49][2650/7045]	Time 0.397 (0.251)	Data 0.346 (0.187)	Loss 2.7625 (3.0577)	Prec@1 34.766 (29.324)	Prec@5 61.328 (58.211)
Epoch: [49][2660/7045]	Time 0.240 (0.251)	Data 0.188 (0.187)	Loss 3.1523 (3.0577)	Prec@1 28.125 (29.325)	Prec@5 54.297 (58.209)
Epoch: [49][2670/7045]	Time 0.505 (0.251)	Data 0.453 (0.187)	Loss 3.0442 (3.0576)	Prec@1 29.297 (29.332)	Prec@5 60.938 (58.214)
Epoch: [49][2680/7045]	Time 0.181 (0.251)	Data 0.129 (0.187)	Loss 3.1087 (3.0578)	Prec@1 28.906 (29.330)	Prec@5 57.422 (58.206)
Epoch: [49][2690/7045]	Time 0.360 (0.251)	Data 0.308 (0.187)	Loss 3.0887 (3.0580)	Prec@1 29.688 (29.326)	Prec@5 55.469 (58.200)
Epoch: [49][2700/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.1183 (3.0582)	Prec@1 32.422 (29.327)	Prec@5 55.078 (58.198)
Epoch: [49][2710/7045]	Time 0.163 (0.251)	Data 0.111 (0.187)	Loss 3.3599 (3.0579)	Prec@1 29.297 (29.335)	Prec@5 52.734 (58.206)
Epoch: [49][2720/7045]	Time 0.432 (0.251)	Data 0.381 (0.187)	Loss 3.0748 (3.0581)	Prec@1 26.562 (29.332)	Prec@5 59.766 (58.204)
Epoch: [49][2730/7045]	Time 0.103 (0.251)	Data 0.050 (0.187)	Loss 2.9224 (3.0580)	Prec@1 32.422 (29.334)	Prec@5 62.109 (58.206)
Epoch: [49][2740/7045]	Time 0.377 (0.251)	Data 0.325 (0.188)	Loss 3.2500 (3.0582)	Prec@1 26.953 (29.332)	Prec@5 51.172 (58.200)
Epoch: [49][2750/7045]	Time 0.235 (0.251)	Data 0.183 (0.187)	Loss 3.0656 (3.0582)	Prec@1 29.297 (29.333)	Prec@5 58.984 (58.199)
Epoch: [49][2760/7045]	Time 0.447 (0.251)	Data 0.388 (0.188)	Loss 3.2422 (3.0584)	Prec@1 26.562 (29.331)	Prec@5 54.688 (58.197)
Epoch: [49][2770/7045]	Time 0.201 (0.251)	Data 0.149 (0.187)	Loss 3.1020 (3.0582)	Prec@1 29.688 (29.334)	Prec@5 57.422 (58.198)
Epoch: [49][2780/7045]	Time 0.143 (0.251)	Data 0.092 (0.187)	Loss 2.9646 (3.0582)	Prec@1 31.641 (29.335)	Prec@5 58.203 (58.197)
Epoch: [49][2790/7045]	Time 0.344 (0.251)	Data 0.292 (0.187)	Loss 3.0660 (3.0582)	Prec@1 29.297 (29.340)	Prec@5 55.469 (58.196)
Epoch: [49][2800/7045]	Time 0.103 (0.251)	Data 0.050 (0.187)	Loss 2.9923 (3.0581)	Prec@1 27.344 (29.338)	Prec@5 58.203 (58.196)
Epoch: [49][2810/7045]	Time 0.311 (0.251)	Data 0.260 (0.188)	Loss 2.8782 (3.0582)	Prec@1 31.641 (29.338)	Prec@5 59.766 (58.196)
Epoch: [49][2820/7045]	Time 0.261 (0.251)	Data 0.211 (0.188)	Loss 3.0258 (3.0581)	Prec@1 32.812 (29.343)	Prec@5 57.422 (58.198)
Epoch: [49][2830/7045]	Time 0.110 (0.251)	Data 0.004 (0.188)	Loss 3.0773 (3.0582)	Prec@1 28.906 (29.338)	Prec@5 59.375 (58.193)
Epoch: [49][2840/7045]	Time 0.232 (0.251)	Data 0.181 (0.188)	Loss 2.9236 (3.0581)	Prec@1 26.172 (29.336)	Prec@5 61.719 (58.195)
Epoch: [49][2850/7045]	Time 0.104 (0.251)	Data 0.051 (0.188)	Loss 3.3522 (3.0583)	Prec@1 27.344 (29.335)	Prec@5 51.172 (58.191)
Epoch: [49][2860/7045]	Time 0.443 (0.251)	Data 0.391 (0.188)	Loss 3.0629 (3.0584)	Prec@1 30.469 (29.337)	Prec@5 58.984 (58.192)
Epoch: [49][2870/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 3.1895 (3.0583)	Prec@1 28.516 (29.339)	Prec@5 58.203 (58.196)
Epoch: [49][2880/7045]	Time 0.675 (0.251)	Data 0.625 (0.188)	Loss 3.1145 (3.0579)	Prec@1 25.781 (29.343)	Prec@5 59.766 (58.205)
Epoch: [49][2890/7045]	Time 0.110 (0.251)	Data 0.001 (0.188)	Loss 3.2303 (3.0582)	Prec@1 25.781 (29.335)	Prec@5 52.344 (58.199)
Epoch: [49][2900/7045]	Time 0.691 (0.251)	Data 0.640 (0.188)	Loss 3.0484 (3.0580)	Prec@1 28.906 (29.341)	Prec@5 55.859 (58.205)
Epoch: [49][2910/7045]	Time 0.111 (0.251)	Data 0.060 (0.188)	Loss 3.0694 (3.0579)	Prec@1 27.734 (29.342)	Prec@5 58.984 (58.208)
Epoch: [49][2920/7045]	Time 0.467 (0.251)	Data 0.416 (0.188)	Loss 3.3670 (3.0580)	Prec@1 22.266 (29.339)	Prec@5 48.438 (58.205)
Epoch: [49][2930/7045]	Time 0.102 (0.251)	Data 0.021 (0.188)	Loss 2.9443 (3.0579)	Prec@1 25.391 (29.337)	Prec@5 59.766 (58.208)
Epoch: [49][2940/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.2075 (3.0579)	Prec@1 27.344 (29.340)	Prec@5 56.641 (58.208)
Epoch: [49][2950/7045]	Time 0.134 (0.251)	Data 0.083 (0.188)	Loss 3.0505 (3.0577)	Prec@1 30.859 (29.344)	Prec@5 57.031 (58.209)
Epoch: [49][2960/7045]	Time 0.167 (0.251)	Data 0.117 (0.188)	Loss 3.0644 (3.0574)	Prec@1 27.344 (29.347)	Prec@5 56.641 (58.217)
Epoch: [49][2970/7045]	Time 0.271 (0.251)	Data 0.220 (0.188)	Loss 2.9038 (3.0575)	Prec@1 35.156 (29.344)	Prec@5 62.109 (58.214)
Epoch: [49][2980/7045]	Time 0.283 (0.251)	Data 0.231 (0.188)	Loss 3.2106 (3.0578)	Prec@1 25.781 (29.338)	Prec@5 59.375 (58.207)
Epoch: [49][2990/7045]	Time 0.320 (0.251)	Data 0.269 (0.188)	Loss 3.1457 (3.0578)	Prec@1 28.516 (29.338)	Prec@5 55.078 (58.204)
Epoch: [49][3000/7045]	Time 0.126 (0.251)	Data 0.075 (0.188)	Loss 2.9546 (3.0578)	Prec@1 29.297 (29.336)	Prec@5 57.031 (58.202)
Epoch: [49][3010/7045]	Time 0.112 (0.251)	Data 0.016 (0.188)	Loss 3.2605 (3.0577)	Prec@1 30.859 (29.338)	Prec@5 50.781 (58.203)
Epoch: [49][3020/7045]	Time 0.101 (0.251)	Data 0.001 (0.188)	Loss 3.0901 (3.0582)	Prec@1 23.828 (29.330)	Prec@5 54.688 (58.193)
Epoch: [49][3030/7045]	Time 0.498 (0.251)	Data 0.440 (0.188)	Loss 3.0721 (3.0583)	Prec@1 30.078 (29.328)	Prec@5 57.422 (58.190)
Epoch: [49][3040/7045]	Time 0.221 (0.251)	Data 0.161 (0.188)	Loss 2.9304 (3.0581)	Prec@1 31.250 (29.329)	Prec@5 61.328 (58.195)
Epoch: [49][3050/7045]	Time 0.466 (0.251)	Data 0.415 (0.188)	Loss 3.2135 (3.0583)	Prec@1 29.297 (29.327)	Prec@5 56.641 (58.195)
Epoch: [49][3060/7045]	Time 0.101 (0.251)	Data 0.008 (0.188)	Loss 2.9502 (3.0580)	Prec@1 30.078 (29.335)	Prec@5 60.938 (58.199)
Epoch: [49][3070/7045]	Time 0.110 (0.251)	Data 0.059 (0.188)	Loss 3.3069 (3.0583)	Prec@1 26.172 (29.332)	Prec@5 53.906 (58.195)
Epoch: [49][3080/7045]	Time 0.101 (0.251)	Data 0.001 (0.188)	Loss 3.2518 (3.0586)	Prec@1 27.734 (29.328)	Prec@5 58.594 (58.192)
Epoch: [49][3090/7045]	Time 0.132 (0.251)	Data 0.080 (0.188)	Loss 3.2901 (3.0587)	Prec@1 25.781 (29.325)	Prec@5 51.953 (58.189)
Epoch: [49][3100/7045]	Time 0.471 (0.251)	Data 0.419 (0.188)	Loss 3.0657 (3.0590)	Prec@1 32.812 (29.323)	Prec@5 57.812 (58.187)
Epoch: [49][3110/7045]	Time 0.235 (0.251)	Data 0.183 (0.188)	Loss 3.0816 (3.0590)	Prec@1 29.297 (29.323)	Prec@5 55.469 (58.188)
Epoch: [49][3120/7045]	Time 0.435 (0.251)	Data 0.385 (0.188)	Loss 3.0553 (3.0590)	Prec@1 28.516 (29.325)	Prec@5 62.109 (58.190)
Epoch: [49][3130/7045]	Time 0.095 (0.251)	Data 0.001 (0.188)	Loss 3.0718 (3.0589)	Prec@1 28.906 (29.328)	Prec@5 58.984 (58.190)
Epoch: [49][3140/7045]	Time 0.109 (0.251)	Data 0.055 (0.188)	Loss 3.0088 (3.0589)	Prec@1 28.906 (29.327)	Prec@5 58.594 (58.191)
Epoch: [49][3150/7045]	Time 0.416 (0.251)	Data 0.364 (0.188)	Loss 3.1098 (3.0587)	Prec@1 26.172 (29.329)	Prec@5 59.375 (58.195)
Epoch: [49][3160/7045]	Time 0.110 (0.251)	Data 0.001 (0.188)	Loss 3.1784 (3.0589)	Prec@1 26.562 (29.325)	Prec@5 55.859 (58.192)
Epoch: [49][3170/7045]	Time 0.758 (0.251)	Data 0.705 (0.188)	Loss 3.0421 (3.0590)	Prec@1 28.906 (29.320)	Prec@5 57.031 (58.191)
Epoch: [49][3180/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.1320 (3.0591)	Prec@1 27.344 (29.316)	Prec@5 55.859 (58.191)
Epoch: [49][3190/7045]	Time 0.447 (0.251)	Data 0.386 (0.188)	Loss 2.9866 (3.0592)	Prec@1 31.250 (29.317)	Prec@5 59.766 (58.188)
Epoch: [49][3200/7045]	Time 0.103 (0.251)	Data 0.001 (0.187)	Loss 2.9663 (3.0591)	Prec@1 30.078 (29.321)	Prec@5 61.328 (58.188)
Epoch: [49][3210/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 3.1931 (3.0593)	Prec@1 28.516 (29.317)	Prec@5 55.859 (58.183)
Epoch: [49][3220/7045]	Time 0.213 (0.251)	Data 0.162 (0.187)	Loss 3.0189 (3.0593)	Prec@1 28.906 (29.318)	Prec@5 59.375 (58.185)
Epoch: [49][3230/7045]	Time 0.106 (0.251)	Data 0.054 (0.187)	Loss 3.0465 (3.0595)	Prec@1 28.906 (29.312)	Prec@5 58.594 (58.178)
Epoch: [49][3240/7045]	Time 0.785 (0.251)	Data 0.734 (0.188)	Loss 2.9877 (3.0595)	Prec@1 33.203 (29.315)	Prec@5 58.984 (58.177)
Epoch: [49][3250/7045]	Time 0.122 (0.251)	Data 0.070 (0.187)	Loss 3.3957 (3.0596)	Prec@1 23.438 (29.312)	Prec@5 50.391 (58.175)
Epoch: [49][3260/7045]	Time 0.333 (0.251)	Data 0.282 (0.187)	Loss 3.0920 (3.0595)	Prec@1 26.172 (29.311)	Prec@5 58.594 (58.179)
Epoch: [49][3270/7045]	Time 0.225 (0.251)	Data 0.164 (0.187)	Loss 2.9876 (3.0595)	Prec@1 33.203 (29.311)	Prec@5 64.062 (58.177)
Epoch: [49][3280/7045]	Time 0.149 (0.251)	Data 0.098 (0.187)	Loss 3.1465 (3.0594)	Prec@1 31.250 (29.315)	Prec@5 58.203 (58.180)
Epoch: [49][3290/7045]	Time 0.250 (0.251)	Data 0.199 (0.187)	Loss 3.1329 (3.0594)	Prec@1 26.172 (29.315)	Prec@5 57.812 (58.181)
Epoch: [49][3300/7045]	Time 0.674 (0.251)	Data 0.622 (0.188)	Loss 2.9411 (3.0594)	Prec@1 33.984 (29.318)	Prec@5 61.328 (58.181)
Epoch: [49][3310/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.8604 (3.0592)	Prec@1 29.688 (29.322)	Prec@5 59.766 (58.181)
Epoch: [49][3320/7045]	Time 0.533 (0.251)	Data 0.481 (0.187)	Loss 3.0214 (3.0592)	Prec@1 28.516 (29.324)	Prec@5 63.672 (58.185)
Epoch: [49][3330/7045]	Time 0.100 (0.251)	Data 0.001 (0.187)	Loss 2.9535 (3.0591)	Prec@1 30.859 (29.325)	Prec@5 57.812 (58.184)
Epoch: [49][3340/7045]	Time 0.668 (0.251)	Data 0.615 (0.187)	Loss 3.0636 (3.0593)	Prec@1 26.172 (29.323)	Prec@5 57.812 (58.185)
Epoch: [49][3350/7045]	Time 0.110 (0.251)	Data 0.001 (0.187)	Loss 3.0514 (3.0593)	Prec@1 35.156 (29.321)	Prec@5 57.031 (58.186)
Epoch: [49][3360/7045]	Time 0.412 (0.251)	Data 0.361 (0.187)	Loss 2.9496 (3.0591)	Prec@1 29.688 (29.321)	Prec@5 61.328 (58.187)
Epoch: [49][3370/7045]	Time 0.361 (0.251)	Data 0.310 (0.187)	Loss 3.0472 (3.0591)	Prec@1 32.812 (29.321)	Prec@5 58.203 (58.185)
Epoch: [49][3380/7045]	Time 0.108 (0.251)	Data 0.055 (0.187)	Loss 3.1962 (3.0594)	Prec@1 28.125 (29.316)	Prec@5 52.344 (58.178)
Epoch: [49][3390/7045]	Time 0.469 (0.251)	Data 0.417 (0.187)	Loss 3.2135 (3.0595)	Prec@1 28.125 (29.316)	Prec@5 55.078 (58.176)
Epoch: [49][3400/7045]	Time 0.255 (0.251)	Data 0.205 (0.187)	Loss 3.0453 (3.0595)	Prec@1 31.250 (29.317)	Prec@5 60.156 (58.178)
Epoch: [49][3410/7045]	Time 0.165 (0.251)	Data 0.113 (0.187)	Loss 3.1700 (3.0595)	Prec@1 26.562 (29.314)	Prec@5 55.469 (58.179)
Epoch: [49][3420/7045]	Time 0.676 (0.251)	Data 0.615 (0.187)	Loss 2.9387 (3.0595)	Prec@1 32.031 (29.316)	Prec@5 60.156 (58.179)
Epoch: [49][3430/7045]	Time 0.239 (0.251)	Data 0.180 (0.187)	Loss 2.9537 (3.0595)	Prec@1 31.250 (29.316)	Prec@5 58.984 (58.181)
Epoch: [49][3440/7045]	Time 0.373 (0.251)	Data 0.320 (0.187)	Loss 3.1871 (3.0596)	Prec@1 25.391 (29.315)	Prec@5 57.812 (58.179)
Epoch: [49][3450/7045]	Time 0.460 (0.251)	Data 0.409 (0.187)	Loss 3.1048 (3.0597)	Prec@1 25.391 (29.316)	Prec@5 58.203 (58.177)
Epoch: [49][3460/7045]	Time 0.171 (0.251)	Data 0.119 (0.187)	Loss 3.0576 (3.0597)	Prec@1 30.859 (29.320)	Prec@5 61.328 (58.178)
Epoch: [49][3470/7045]	Time 0.110 (0.251)	Data 0.058 (0.187)	Loss 3.2816 (3.0599)	Prec@1 26.172 (29.316)	Prec@5 55.469 (58.175)
Epoch: [49][3480/7045]	Time 0.102 (0.251)	Data 0.002 (0.187)	Loss 2.7947 (3.0598)	Prec@1 33.984 (29.320)	Prec@5 62.500 (58.178)
Epoch: [49][3490/7045]	Time 0.336 (0.251)	Data 0.284 (0.187)	Loss 2.8345 (3.0597)	Prec@1 33.984 (29.324)	Prec@5 63.281 (58.179)
Epoch: [49][3500/7045]	Time 0.242 (0.251)	Data 0.181 (0.187)	Loss 3.0039 (3.0597)	Prec@1 33.203 (29.324)	Prec@5 61.719 (58.180)
Epoch: [49][3510/7045]	Time 0.183 (0.251)	Data 0.133 (0.187)	Loss 3.1540 (3.0597)	Prec@1 31.641 (29.325)	Prec@5 55.469 (58.180)
Epoch: [49][3520/7045]	Time 0.139 (0.251)	Data 0.088 (0.187)	Loss 2.7619 (3.0598)	Prec@1 33.203 (29.322)	Prec@5 64.062 (58.180)
Epoch: [49][3530/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 2.9808 (3.0597)	Prec@1 29.297 (29.323)	Prec@5 57.812 (58.180)
Epoch: [49][3540/7045]	Time 0.316 (0.251)	Data 0.264 (0.187)	Loss 3.1850 (3.0597)	Prec@1 28.125 (29.326)	Prec@5 56.641 (58.179)
Epoch: [49][3550/7045]	Time 0.366 (0.251)	Data 0.305 (0.187)	Loss 3.0315 (3.0598)	Prec@1 29.297 (29.323)	Prec@5 56.250 (58.178)
Epoch: [49][3560/7045]	Time 0.102 (0.251)	Data 0.050 (0.187)	Loss 2.8206 (3.0596)	Prec@1 35.938 (29.327)	Prec@5 64.062 (58.181)
Epoch: [49][3570/7045]	Time 0.115 (0.251)	Data 0.059 (0.187)	Loss 2.8360 (3.0596)	Prec@1 32.422 (29.327)	Prec@5 61.719 (58.180)
Epoch: [49][3580/7045]	Time 0.100 (0.251)	Data 0.001 (0.187)	Loss 2.9965 (3.0592)	Prec@1 27.344 (29.332)	Prec@5 60.547 (58.186)
Epoch: [49][3590/7045]	Time 0.101 (0.251)	Data 0.018 (0.187)	Loss 3.1083 (3.0591)	Prec@1 30.078 (29.333)	Prec@5 57.422 (58.187)
Epoch: [49][3600/7045]	Time 0.102 (0.251)	Data 0.012 (0.187)	Loss 3.1853 (3.0591)	Prec@1 28.516 (29.334)	Prec@5 57.812 (58.187)
Epoch: [49][3610/7045]	Time 0.328 (0.251)	Data 0.278 (0.187)	Loss 3.2936 (3.0593)	Prec@1 24.609 (29.333)	Prec@5 55.859 (58.186)
Epoch: [49][3620/7045]	Time 0.101 (0.251)	Data 0.014 (0.187)	Loss 2.9196 (3.0592)	Prec@1 33.984 (29.332)	Prec@5 59.375 (58.189)
Epoch: [49][3630/7045]	Time 0.543 (0.251)	Data 0.484 (0.187)	Loss 3.0642 (3.0593)	Prec@1 30.078 (29.331)	Prec@5 58.984 (58.191)
Epoch: [49][3640/7045]	Time 0.512 (0.251)	Data 0.461 (0.187)	Loss 3.0699 (3.0593)	Prec@1 31.250 (29.333)	Prec@5 58.203 (58.188)
Epoch: [49][3650/7045]	Time 0.319 (0.251)	Data 0.259 (0.187)	Loss 3.1564 (3.0592)	Prec@1 29.297 (29.333)	Prec@5 55.469 (58.191)
Epoch: [49][3660/7045]	Time 0.323 (0.251)	Data 0.273 (0.187)	Loss 3.2261 (3.0591)	Prec@1 26.953 (29.334)	Prec@5 55.859 (58.192)
Epoch: [49][3670/7045]	Time 0.105 (0.251)	Data 0.046 (0.188)	Loss 3.0818 (3.0591)	Prec@1 30.078 (29.336)	Prec@5 58.203 (58.197)
Epoch: [49][3680/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 3.0694 (3.0588)	Prec@1 26.172 (29.336)	Prec@5 58.203 (58.202)
Epoch: [49][3690/7045]	Time 0.101 (0.251)	Data 0.007 (0.187)	Loss 3.1058 (3.0588)	Prec@1 33.984 (29.342)	Prec@5 59.375 (58.203)
Epoch: [49][3700/7045]	Time 0.113 (0.251)	Data 0.062 (0.188)	Loss 3.2578 (3.0590)	Prec@1 28.906 (29.342)	Prec@5 56.641 (58.200)
Epoch: [49][3710/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.9642 (3.0588)	Prec@1 29.297 (29.343)	Prec@5 62.109 (58.204)
Epoch: [49][3720/7045]	Time 0.110 (0.251)	Data 0.057 (0.187)	Loss 3.2397 (3.0588)	Prec@1 26.562 (29.343)	Prec@5 54.297 (58.204)
Epoch: [49][3730/7045]	Time 0.109 (0.251)	Data 0.056 (0.187)	Loss 2.9939 (3.0589)	Prec@1 29.297 (29.341)	Prec@5 59.766 (58.205)
Epoch: [49][3740/7045]	Time 0.100 (0.251)	Data 0.010 (0.187)	Loss 2.8614 (3.0589)	Prec@1 31.250 (29.344)	Prec@5 59.375 (58.204)
Epoch: [49][3750/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.9450 (3.0588)	Prec@1 30.469 (29.344)	Prec@5 60.938 (58.206)
Epoch: [49][3760/7045]	Time 0.370 (0.251)	Data 0.319 (0.187)	Loss 2.9354 (3.0588)	Prec@1 29.297 (29.343)	Prec@5 62.500 (58.204)
Epoch: [49][3770/7045]	Time 0.113 (0.251)	Data 0.001 (0.188)	Loss 3.1536 (3.0589)	Prec@1 24.609 (29.341)	Prec@5 55.078 (58.203)
Epoch: [49][3780/7045]	Time 0.245 (0.251)	Data 0.194 (0.187)	Loss 3.0894 (3.0589)	Prec@1 28.906 (29.343)	Prec@5 59.375 (58.205)
Epoch: [49][3790/7045]	Time 0.102 (0.251)	Data 0.008 (0.187)	Loss 3.0974 (3.0590)	Prec@1 30.859 (29.341)	Prec@5 56.641 (58.201)
Epoch: [49][3800/7045]	Time 0.645 (0.251)	Data 0.593 (0.188)	Loss 2.9868 (3.0589)	Prec@1 32.812 (29.340)	Prec@5 58.594 (58.201)
Epoch: [49][3810/7045]	Time 0.121 (0.251)	Data 0.069 (0.187)	Loss 3.0384 (3.0589)	Prec@1 28.906 (29.340)	Prec@5 55.078 (58.199)
Epoch: [49][3820/7045]	Time 0.316 (0.251)	Data 0.264 (0.187)	Loss 3.1289 (3.0588)	Prec@1 28.906 (29.342)	Prec@5 58.203 (58.203)
Epoch: [49][3830/7045]	Time 0.104 (0.251)	Data 0.051 (0.187)	Loss 3.0523 (3.0587)	Prec@1 30.859 (29.346)	Prec@5 56.641 (58.205)
Epoch: [49][3840/7045]	Time 0.230 (0.251)	Data 0.172 (0.187)	Loss 3.0455 (3.0588)	Prec@1 29.688 (29.345)	Prec@5 59.766 (58.206)
Epoch: [49][3850/7045]	Time 0.102 (0.251)	Data 0.048 (0.187)	Loss 3.1735 (3.0590)	Prec@1 24.609 (29.342)	Prec@5 54.297 (58.201)
Epoch: [49][3860/7045]	Time 0.102 (0.251)	Data 0.009 (0.187)	Loss 3.0127 (3.0590)	Prec@1 29.688 (29.341)	Prec@5 62.891 (58.203)
Epoch: [49][3870/7045]	Time 0.371 (0.251)	Data 0.319 (0.187)	Loss 3.2028 (3.0590)	Prec@1 25.000 (29.338)	Prec@5 56.250 (58.201)
Epoch: [49][3880/7045]	Time 0.103 (0.251)	Data 0.049 (0.187)	Loss 3.2066 (3.0591)	Prec@1 28.125 (29.339)	Prec@5 56.641 (58.199)
Epoch: [49][3890/7045]	Time 0.511 (0.251)	Data 0.460 (0.187)	Loss 2.9594 (3.0592)	Prec@1 30.469 (29.336)	Prec@5 61.328 (58.197)
Epoch: [49][3900/7045]	Time 0.401 (0.251)	Data 0.342 (0.187)	Loss 3.1294 (3.0592)	Prec@1 27.344 (29.335)	Prec@5 58.203 (58.199)
Epoch: [49][3910/7045]	Time 0.145 (0.251)	Data 0.094 (0.187)	Loss 2.9804 (3.0592)	Prec@1 30.859 (29.333)	Prec@5 57.031 (58.196)
Epoch: [49][3920/7045]	Time 0.455 (0.251)	Data 0.394 (0.187)	Loss 2.9524 (3.0593)	Prec@1 33.594 (29.331)	Prec@5 61.719 (58.195)
Epoch: [49][3930/7045]	Time 0.248 (0.251)	Data 0.196 (0.187)	Loss 3.0457 (3.0592)	Prec@1 32.031 (29.330)	Prec@5 57.812 (58.197)
Epoch: [49][3940/7045]	Time 0.116 (0.251)	Data 0.065 (0.187)	Loss 3.0845 (3.0592)	Prec@1 31.250 (29.332)	Prec@5 58.984 (58.197)
Epoch: [49][3950/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 2.9964 (3.0593)	Prec@1 31.250 (29.331)	Prec@5 60.938 (58.198)
Epoch: [49][3960/7045]	Time 0.102 (0.251)	Data 0.006 (0.187)	Loss 3.0529 (3.0594)	Prec@1 31.250 (29.329)	Prec@5 56.641 (58.194)
Epoch: [49][3970/7045]	Time 0.245 (0.251)	Data 0.196 (0.187)	Loss 3.1409 (3.0594)	Prec@1 26.953 (29.330)	Prec@5 54.688 (58.193)
Epoch: [49][3980/7045]	Time 0.101 (0.251)	Data 0.002 (0.187)	Loss 3.1223 (3.0595)	Prec@1 28.516 (29.327)	Prec@5 58.203 (58.193)
Epoch: [49][3990/7045]	Time 0.102 (0.251)	Data 0.020 (0.187)	Loss 2.9947 (3.0594)	Prec@1 29.688 (29.329)	Prec@5 56.641 (58.193)
Epoch: [49][4000/7045]	Time 0.138 (0.251)	Data 0.086 (0.187)	Loss 3.0930 (3.0594)	Prec@1 26.953 (29.329)	Prec@5 56.641 (58.193)
Epoch: [49][4010/7045]	Time 0.102 (0.251)	Data 0.006 (0.187)	Loss 3.0361 (3.0596)	Prec@1 31.250 (29.324)	Prec@5 59.766 (58.192)
Epoch: [49][4020/7045]	Time 0.457 (0.251)	Data 0.407 (0.187)	Loss 3.2077 (3.0595)	Prec@1 26.953 (29.326)	Prec@5 55.078 (58.193)
Epoch: [49][4030/7045]	Time 0.102 (0.251)	Data 0.025 (0.187)	Loss 3.0669 (3.0596)	Prec@1 30.078 (29.326)	Prec@5 57.422 (58.190)
Epoch: [49][4040/7045]	Time 0.730 (0.252)	Data 0.679 (0.187)	Loss 3.0721 (3.0596)	Prec@1 30.078 (29.330)	Prec@5 56.641 (58.190)
Epoch: [49][4050/7045]	Time 0.218 (0.251)	Data 0.167 (0.187)	Loss 3.1430 (3.0597)	Prec@1 28.516 (29.326)	Prec@5 54.688 (58.189)
Epoch: [49][4060/7045]	Time 0.347 (0.251)	Data 0.296 (0.187)	Loss 3.3266 (3.0596)	Prec@1 25.781 (29.326)	Prec@5 53.125 (58.192)
Epoch: [49][4070/7045]	Time 0.325 (0.251)	Data 0.273 (0.187)	Loss 3.0991 (3.0595)	Prec@1 29.688 (29.329)	Prec@5 53.516 (58.193)
Epoch: [49][4080/7045]	Time 0.293 (0.251)	Data 0.243 (0.187)	Loss 3.1005 (3.0598)	Prec@1 31.250 (29.329)	Prec@5 56.250 (58.189)
Epoch: [49][4090/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.1379 (3.0599)	Prec@1 26.562 (29.325)	Prec@5 55.469 (58.184)
Epoch: [49][4100/7045]	Time 0.102 (0.251)	Data 0.045 (0.187)	Loss 3.1292 (3.0599)	Prec@1 29.297 (29.328)	Prec@5 57.422 (58.187)
Epoch: [49][4110/7045]	Time 0.274 (0.251)	Data 0.223 (0.187)	Loss 3.0174 (3.0597)	Prec@1 30.469 (29.331)	Prec@5 58.984 (58.192)
Epoch: [49][4120/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 3.2318 (3.0598)	Prec@1 27.734 (29.329)	Prec@5 54.297 (58.190)
Epoch: [49][4130/7045]	Time 0.477 (0.251)	Data 0.420 (0.187)	Loss 3.0706 (3.0597)	Prec@1 29.688 (29.328)	Prec@5 58.984 (58.192)
Epoch: [49][4140/7045]	Time 0.333 (0.251)	Data 0.282 (0.187)	Loss 3.0128 (3.0597)	Prec@1 27.734 (29.330)	Prec@5 59.766 (58.192)
Epoch: [49][4150/7045]	Time 0.215 (0.251)	Data 0.163 (0.187)	Loss 3.1133 (3.0597)	Prec@1 27.344 (29.331)	Prec@5 57.812 (58.194)
Epoch: [49][4160/7045]	Time 0.509 (0.251)	Data 0.459 (0.187)	Loss 3.0389 (3.0598)	Prec@1 30.859 (29.330)	Prec@5 61.328 (58.190)
Epoch: [49][4170/7045]	Time 0.104 (0.251)	Data 0.051 (0.187)	Loss 3.3185 (3.0597)	Prec@1 26.562 (29.333)	Prec@5 55.469 (58.193)
Epoch: [49][4180/7045]	Time 0.238 (0.251)	Data 0.188 (0.187)	Loss 3.1985 (3.0597)	Prec@1 26.562 (29.330)	Prec@5 52.734 (58.190)
Epoch: [49][4190/7045]	Time 0.231 (0.251)	Data 0.181 (0.187)	Loss 3.4582 (3.0599)	Prec@1 21.094 (29.327)	Prec@5 53.125 (58.183)
Epoch: [49][4200/7045]	Time 0.102 (0.252)	Data 0.001 (0.187)	Loss 2.9351 (3.0600)	Prec@1 32.031 (29.325)	Prec@5 58.203 (58.182)
Epoch: [49][4210/7045]	Time 0.371 (0.252)	Data 0.314 (0.187)	Loss 3.2415 (3.0601)	Prec@1 28.125 (29.325)	Prec@5 54.688 (58.180)
Epoch: [49][4220/7045]	Time 0.102 (0.251)	Data 0.050 (0.187)	Loss 3.1216 (3.0601)	Prec@1 28.906 (29.326)	Prec@5 58.594 (58.180)
Epoch: [49][4230/7045]	Time 0.106 (0.251)	Data 0.054 (0.187)	Loss 2.9976 (3.0602)	Prec@1 26.172 (29.324)	Prec@5 56.250 (58.177)
Epoch: [49][4240/7045]	Time 0.111 (0.252)	Data 0.061 (0.187)	Loss 3.1079 (3.0602)	Prec@1 30.078 (29.326)	Prec@5 59.766 (58.178)
Epoch: [49][4250/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 3.1508 (3.0603)	Prec@1 27.734 (29.324)	Prec@5 56.641 (58.177)
Epoch: [49][4260/7045]	Time 0.168 (0.252)	Data 0.116 (0.187)	Loss 3.0588 (3.0603)	Prec@1 33.203 (29.328)	Prec@5 58.594 (58.176)
Epoch: [49][4270/7045]	Time 0.243 (0.252)	Data 0.185 (0.187)	Loss 3.1013 (3.0603)	Prec@1 26.172 (29.328)	Prec@5 55.469 (58.176)
Epoch: [49][4280/7045]	Time 0.101 (0.252)	Data 0.001 (0.187)	Loss 3.2119 (3.0604)	Prec@1 26.953 (29.328)	Prec@5 55.859 (58.173)
Epoch: [49][4290/7045]	Time 0.214 (0.252)	Data 0.163 (0.187)	Loss 3.0759 (3.0604)	Prec@1 28.906 (29.326)	Prec@5 57.812 (58.174)
Epoch: [49][4300/7045]	Time 0.113 (0.251)	Data 0.062 (0.187)	Loss 2.9946 (3.0603)	Prec@1 32.422 (29.330)	Prec@5 59.375 (58.176)
Epoch: [49][4310/7045]	Time 0.227 (0.252)	Data 0.178 (0.187)	Loss 2.9983 (3.0602)	Prec@1 29.297 (29.331)	Prec@5 60.156 (58.179)
Epoch: [49][4320/7045]	Time 0.388 (0.252)	Data 0.337 (0.187)	Loss 3.3641 (3.0602)	Prec@1 25.781 (29.331)	Prec@5 50.000 (58.177)
Epoch: [49][4330/7045]	Time 0.159 (0.252)	Data 0.108 (0.187)	Loss 3.3011 (3.0604)	Prec@1 25.000 (29.330)	Prec@5 54.688 (58.172)
Epoch: [49][4340/7045]	Time 0.504 (0.252)	Data 0.453 (0.187)	Loss 3.1825 (3.0603)	Prec@1 31.250 (29.331)	Prec@5 52.344 (58.174)
Epoch: [49][4350/7045]	Time 0.241 (0.252)	Data 0.190 (0.187)	Loss 2.9690 (3.0602)	Prec@1 26.953 (29.330)	Prec@5 58.984 (58.176)
Epoch: [49][4360/7045]	Time 0.361 (0.251)	Data 0.310 (0.187)	Loss 3.1456 (3.0602)	Prec@1 23.828 (29.329)	Prec@5 56.250 (58.174)
Epoch: [49][4370/7045]	Time 0.272 (0.251)	Data 0.221 (0.187)	Loss 2.8517 (3.0604)	Prec@1 28.906 (29.325)	Prec@5 63.672 (58.171)
Epoch: [49][4380/7045]	Time 0.107 (0.251)	Data 0.055 (0.187)	Loss 2.9761 (3.0604)	Prec@1 30.859 (29.325)	Prec@5 60.938 (58.169)
Epoch: [49][4390/7045]	Time 0.343 (0.251)	Data 0.292 (0.187)	Loss 3.1657 (3.0604)	Prec@1 32.422 (29.326)	Prec@5 54.688 (58.170)
Epoch: [49][4400/7045]	Time 0.130 (0.251)	Data 0.078 (0.187)	Loss 3.0940 (3.0603)	Prec@1 29.297 (29.325)	Prec@5 56.250 (58.172)
Epoch: [49][4410/7045]	Time 0.249 (0.251)	Data 0.199 (0.187)	Loss 3.0976 (3.0605)	Prec@1 30.078 (29.323)	Prec@5 58.203 (58.169)
Epoch: [49][4420/7045]	Time 0.380 (0.251)	Data 0.328 (0.187)	Loss 3.1523 (3.0606)	Prec@1 28.906 (29.321)	Prec@5 57.031 (58.167)
Epoch: [49][4430/7045]	Time 0.214 (0.251)	Data 0.162 (0.187)	Loss 3.0869 (3.0606)	Prec@1 29.688 (29.320)	Prec@5 58.203 (58.165)
Epoch: [49][4440/7045]	Time 0.102 (0.251)	Data 0.049 (0.187)	Loss 3.1084 (3.0605)	Prec@1 30.469 (29.318)	Prec@5 56.641 (58.165)
Epoch: [49][4450/7045]	Time 0.535 (0.251)	Data 0.477 (0.187)	Loss 3.2533 (3.0606)	Prec@1 28.906 (29.321)	Prec@5 53.906 (58.163)
Epoch: [49][4460/7045]	Time 0.102 (0.251)	Data 0.003 (0.187)	Loss 3.1162 (3.0606)	Prec@1 27.344 (29.321)	Prec@5 58.594 (58.162)
Epoch: [49][4470/7045]	Time 0.470 (0.251)	Data 0.420 (0.187)	Loss 3.0437 (3.0606)	Prec@1 31.641 (29.321)	Prec@5 58.203 (58.162)
Epoch: [49][4480/7045]	Time 0.100 (0.251)	Data 0.048 (0.187)	Loss 3.0444 (3.0605)	Prec@1 30.859 (29.323)	Prec@5 58.984 (58.162)
Epoch: [49][4490/7045]	Time 0.247 (0.251)	Data 0.195 (0.187)	Loss 2.9919 (3.0606)	Prec@1 32.422 (29.321)	Prec@5 60.547 (58.161)
Epoch: [49][4500/7045]	Time 0.262 (0.251)	Data 0.212 (0.187)	Loss 3.2224 (3.0605)	Prec@1 24.609 (29.321)	Prec@5 56.250 (58.162)
Epoch: [49][4510/7045]	Time 0.107 (0.251)	Data 0.054 (0.187)	Loss 2.9460 (3.0605)	Prec@1 30.469 (29.323)	Prec@5 59.766 (58.164)
Epoch: [49][4520/7045]	Time 0.102 (0.251)	Data 0.012 (0.187)	Loss 3.0941 (3.0607)	Prec@1 29.688 (29.319)	Prec@5 57.031 (58.157)
Epoch: [49][4530/7045]	Time 0.277 (0.251)	Data 0.226 (0.187)	Loss 2.9511 (3.0608)	Prec@1 28.906 (29.320)	Prec@5 57.812 (58.155)
Epoch: [49][4540/7045]	Time 0.103 (0.251)	Data 0.001 (0.187)	Loss 3.1125 (3.0608)	Prec@1 29.297 (29.320)	Prec@5 58.203 (58.158)
Epoch: [49][4550/7045]	Time 0.201 (0.251)	Data 0.150 (0.187)	Loss 3.2834 (3.0610)	Prec@1 26.562 (29.317)	Prec@5 57.031 (58.153)
Epoch: [49][4560/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.1784 (3.0611)	Prec@1 27.344 (29.315)	Prec@5 55.469 (58.151)
Epoch: [49][4570/7045]	Time 0.113 (0.251)	Data 0.061 (0.187)	Loss 2.6660 (3.0610)	Prec@1 40.625 (29.319)	Prec@5 64.844 (58.153)
Epoch: [49][4580/7045]	Time 0.405 (0.251)	Data 0.355 (0.187)	Loss 3.1117 (3.0610)	Prec@1 32.422 (29.317)	Prec@5 55.469 (58.154)
Epoch: [49][4590/7045]	Time 0.102 (0.251)	Data 0.002 (0.187)	Loss 3.1417 (3.0610)	Prec@1 27.344 (29.317)	Prec@5 57.031 (58.152)
Epoch: [49][4600/7045]	Time 0.624 (0.251)	Data 0.563 (0.187)	Loss 3.1379 (3.0611)	Prec@1 28.906 (29.317)	Prec@5 56.250 (58.150)
Epoch: [49][4610/7045]	Time 0.108 (0.251)	Data 0.001 (0.187)	Loss 3.0052 (3.0610)	Prec@1 29.688 (29.318)	Prec@5 57.812 (58.148)
Epoch: [49][4620/7045]	Time 0.240 (0.251)	Data 0.189 (0.187)	Loss 2.8503 (3.0609)	Prec@1 34.375 (29.318)	Prec@5 64.062 (58.151)
Epoch: [49][4630/7045]	Time 0.518 (0.251)	Data 0.456 (0.187)	Loss 3.1341 (3.0608)	Prec@1 26.953 (29.320)	Prec@5 55.859 (58.151)
Epoch: [49][4640/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.0373 (3.0608)	Prec@1 28.906 (29.322)	Prec@5 58.203 (58.151)
Epoch: [49][4650/7045]	Time 0.580 (0.251)	Data 0.523 (0.187)	Loss 3.1754 (3.0609)	Prec@1 23.828 (29.319)	Prec@5 56.641 (58.150)
Epoch: [49][4660/7045]	Time 0.392 (0.251)	Data 0.340 (0.187)	Loss 2.9546 (3.0608)	Prec@1 32.422 (29.320)	Prec@5 57.812 (58.154)
Epoch: [49][4670/7045]	Time 0.390 (0.251)	Data 0.333 (0.187)	Loss 3.0941 (3.0608)	Prec@1 25.391 (29.316)	Prec@5 55.078 (58.153)
Epoch: [49][4680/7045]	Time 0.277 (0.251)	Data 0.225 (0.187)	Loss 3.1002 (3.0608)	Prec@1 29.297 (29.316)	Prec@5 57.812 (58.152)
Epoch: [49][4690/7045]	Time 0.172 (0.251)	Data 0.120 (0.187)	Loss 2.9840 (3.0607)	Prec@1 28.125 (29.317)	Prec@5 58.594 (58.154)
Epoch: [49][4700/7045]	Time 0.102 (0.251)	Data 0.002 (0.187)	Loss 3.0219 (3.0606)	Prec@1 30.469 (29.318)	Prec@5 59.375 (58.158)
Epoch: [49][4710/7045]	Time 0.109 (0.251)	Data 0.056 (0.187)	Loss 2.7725 (3.0606)	Prec@1 33.984 (29.320)	Prec@5 63.281 (58.159)
Epoch: [49][4720/7045]	Time 0.249 (0.251)	Data 0.198 (0.187)	Loss 2.8442 (3.0606)	Prec@1 28.516 (29.317)	Prec@5 62.500 (58.159)
Epoch: [49][4730/7045]	Time 0.102 (0.251)	Data 0.002 (0.187)	Loss 2.9774 (3.0607)	Prec@1 30.078 (29.317)	Prec@5 60.547 (58.158)
Epoch: [49][4740/7045]	Time 0.598 (0.251)	Data 0.543 (0.187)	Loss 2.9126 (3.0606)	Prec@1 32.422 (29.319)	Prec@5 60.547 (58.160)
Epoch: [49][4750/7045]	Time 0.112 (0.251)	Data 0.058 (0.187)	Loss 2.8894 (3.0606)	Prec@1 33.594 (29.318)	Prec@5 60.156 (58.158)
Epoch: [49][4760/7045]	Time 0.442 (0.251)	Data 0.390 (0.187)	Loss 3.1983 (3.0608)	Prec@1 23.047 (29.314)	Prec@5 55.859 (58.154)
Epoch: [49][4770/7045]	Time 0.465 (0.251)	Data 0.413 (0.187)	Loss 2.9145 (3.0609)	Prec@1 32.812 (29.314)	Prec@5 58.984 (58.151)
Epoch: [49][4780/7045]	Time 0.107 (0.251)	Data 0.007 (0.187)	Loss 3.1234 (3.0607)	Prec@1 22.656 (29.317)	Prec@5 57.031 (58.154)
Epoch: [49][4790/7045]	Time 0.376 (0.251)	Data 0.324 (0.187)	Loss 3.0518 (3.0607)	Prec@1 28.125 (29.319)	Prec@5 58.203 (58.156)
Epoch: [49][4800/7045]	Time 0.310 (0.251)	Data 0.257 (0.187)	Loss 3.0211 (3.0606)	Prec@1 30.469 (29.319)	Prec@5 55.469 (58.157)
Epoch: [49][4810/7045]	Time 0.341 (0.251)	Data 0.289 (0.187)	Loss 2.8524 (3.0605)	Prec@1 32.422 (29.320)	Prec@5 65.625 (58.160)
Epoch: [49][4820/7045]	Time 0.670 (0.251)	Data 0.619 (0.187)	Loss 3.0690 (3.0606)	Prec@1 29.297 (29.316)	Prec@5 59.375 (58.160)
Epoch: [49][4830/7045]	Time 0.107 (0.251)	Data 0.001 (0.187)	Loss 3.1569 (3.0605)	Prec@1 28.516 (29.317)	Prec@5 59.766 (58.162)
Epoch: [49][4840/7045]	Time 0.790 (0.251)	Data 0.732 (0.187)	Loss 3.1597 (3.0606)	Prec@1 26.172 (29.320)	Prec@5 57.422 (58.163)
Epoch: [49][4850/7045]	Time 0.167 (0.251)	Data 0.116 (0.187)	Loss 2.9268 (3.0605)	Prec@1 33.984 (29.319)	Prec@5 63.672 (58.165)
Epoch: [49][4860/7045]	Time 0.492 (0.251)	Data 0.441 (0.187)	Loss 3.1909 (3.0606)	Prec@1 25.391 (29.317)	Prec@5 55.078 (58.163)
Epoch: [49][4870/7045]	Time 0.101 (0.251)	Data 0.004 (0.187)	Loss 3.3477 (3.0605)	Prec@1 25.000 (29.319)	Prec@5 52.344 (58.166)
Epoch: [49][4880/7045]	Time 0.386 (0.251)	Data 0.334 (0.187)	Loss 3.1078 (3.0606)	Prec@1 28.906 (29.318)	Prec@5 58.984 (58.164)
Epoch: [49][4890/7045]	Time 0.156 (0.251)	Data 0.104 (0.187)	Loss 3.1477 (3.0605)	Prec@1 26.562 (29.317)	Prec@5 56.641 (58.165)
Epoch: [49][4900/7045]	Time 0.296 (0.251)	Data 0.239 (0.187)	Loss 3.1795 (3.0606)	Prec@1 30.859 (29.317)	Prec@5 55.859 (58.163)
Epoch: [49][4910/7045]	Time 0.178 (0.251)	Data 0.127 (0.187)	Loss 2.9993 (3.0605)	Prec@1 25.391 (29.316)	Prec@5 60.547 (58.162)
Epoch: [49][4920/7045]	Time 0.215 (0.251)	Data 0.158 (0.187)	Loss 3.0079 (3.0604)	Prec@1 28.516 (29.317)	Prec@5 60.156 (58.164)
Epoch: [49][4930/7045]	Time 0.147 (0.251)	Data 0.095 (0.187)	Loss 3.1904 (3.0604)	Prec@1 27.734 (29.318)	Prec@5 57.031 (58.164)
Epoch: [49][4940/7045]	Time 0.108 (0.251)	Data 0.056 (0.187)	Loss 3.0762 (3.0604)	Prec@1 28.516 (29.320)	Prec@5 56.250 (58.162)
Epoch: [49][4950/7045]	Time 0.252 (0.251)	Data 0.201 (0.187)	Loss 3.2456 (3.0605)	Prec@1 30.469 (29.322)	Prec@5 52.734 (58.160)
Epoch: [49][4960/7045]	Time 0.103 (0.251)	Data 0.001 (0.187)	Loss 2.9808 (3.0605)	Prec@1 30.078 (29.320)	Prec@5 61.719 (58.162)
Epoch: [49][4970/7045]	Time 0.110 (0.251)	Data 0.058 (0.187)	Loss 2.9004 (3.0604)	Prec@1 31.250 (29.321)	Prec@5 62.500 (58.163)
Epoch: [49][4980/7045]	Time 0.242 (0.251)	Data 0.191 (0.187)	Loss 2.7883 (3.0604)	Prec@1 31.641 (29.320)	Prec@5 58.984 (58.162)
Epoch: [49][4990/7045]	Time 0.102 (0.251)	Data 0.008 (0.187)	Loss 3.1831 (3.0605)	Prec@1 27.734 (29.318)	Prec@5 55.078 (58.160)
Epoch: [49][5000/7045]	Time 0.519 (0.251)	Data 0.469 (0.187)	Loss 2.9351 (3.0604)	Prec@1 27.344 (29.319)	Prec@5 59.766 (58.161)
Epoch: [49][5010/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.1633 (3.0604)	Prec@1 26.562 (29.319)	Prec@5 58.203 (58.164)
Epoch: [49][5020/7045]	Time 0.536 (0.251)	Data 0.485 (0.187)	Loss 2.8302 (3.0605)	Prec@1 36.719 (29.321)	Prec@5 64.844 (58.165)
Epoch: [49][5030/7045]	Time 0.411 (0.251)	Data 0.360 (0.187)	Loss 3.1313 (3.0605)	Prec@1 28.125 (29.317)	Prec@5 58.984 (58.167)
Epoch: [49][5040/7045]	Time 0.176 (0.251)	Data 0.125 (0.187)	Loss 3.1021 (3.0605)	Prec@1 27.734 (29.316)	Prec@5 57.422 (58.166)
Epoch: [49][5050/7045]	Time 0.101 (0.251)	Data 0.008 (0.187)	Loss 2.9450 (3.0606)	Prec@1 27.344 (29.315)	Prec@5 58.203 (58.163)
Epoch: [49][5060/7045]	Time 0.381 (0.251)	Data 0.330 (0.187)	Loss 3.1769 (3.0607)	Prec@1 29.688 (29.315)	Prec@5 57.031 (58.161)
Epoch: [49][5070/7045]	Time 0.291 (0.251)	Data 0.240 (0.187)	Loss 2.9644 (3.0606)	Prec@1 29.297 (29.319)	Prec@5 59.766 (58.162)
Epoch: [49][5080/7045]	Time 0.268 (0.251)	Data 0.217 (0.187)	Loss 3.0622 (3.0606)	Prec@1 29.688 (29.318)	Prec@5 60.156 (58.162)
Epoch: [49][5090/7045]	Time 0.435 (0.251)	Data 0.383 (0.187)	Loss 3.2988 (3.0608)	Prec@1 26.953 (29.318)	Prec@5 53.125 (58.161)
Epoch: [49][5100/7045]	Time 0.254 (0.251)	Data 0.203 (0.187)	Loss 2.8508 (3.0608)	Prec@1 30.859 (29.319)	Prec@5 61.328 (58.161)
Epoch: [49][5110/7045]	Time 0.106 (0.251)	Data 0.053 (0.187)	Loss 2.9818 (3.0607)	Prec@1 30.859 (29.322)	Prec@5 59.375 (58.163)
Epoch: [49][5120/7045]	Time 0.513 (0.251)	Data 0.461 (0.187)	Loss 2.8711 (3.0607)	Prec@1 34.766 (29.320)	Prec@5 63.281 (58.166)
Epoch: [49][5130/7045]	Time 0.106 (0.251)	Data 0.053 (0.187)	Loss 3.1868 (3.0608)	Prec@1 27.344 (29.317)	Prec@5 53.906 (58.164)
Epoch: [49][5140/7045]	Time 0.166 (0.251)	Data 0.115 (0.187)	Loss 2.8175 (3.0606)	Prec@1 38.281 (29.320)	Prec@5 64.062 (58.166)
Epoch: [49][5150/7045]	Time 0.595 (0.251)	Data 0.544 (0.187)	Loss 3.2503 (3.0608)	Prec@1 26.953 (29.317)	Prec@5 54.297 (58.162)
Epoch: [49][5160/7045]	Time 0.107 (0.251)	Data 0.003 (0.187)	Loss 3.0996 (3.0608)	Prec@1 22.266 (29.317)	Prec@5 56.641 (58.162)
Epoch: [49][5170/7045]	Time 0.358 (0.251)	Data 0.307 (0.187)	Loss 3.1288 (3.0609)	Prec@1 25.391 (29.314)	Prec@5 57.031 (58.159)
Epoch: [49][5180/7045]	Time 0.141 (0.251)	Data 0.089 (0.187)	Loss 3.0740 (3.0609)	Prec@1 28.516 (29.313)	Prec@5 58.594 (58.160)
Epoch: [49][5190/7045]	Time 0.101 (0.251)	Data 0.046 (0.187)	Loss 3.0931 (3.0609)	Prec@1 27.344 (29.313)	Prec@5 57.812 (58.162)
Epoch: [49][5200/7045]	Time 0.250 (0.251)	Data 0.200 (0.187)	Loss 3.0689 (3.0610)	Prec@1 26.953 (29.311)	Prec@5 56.641 (58.159)
Epoch: [49][5210/7045]	Time 0.350 (0.251)	Data 0.298 (0.187)	Loss 2.7182 (3.0609)	Prec@1 31.641 (29.311)	Prec@5 64.453 (58.160)
Epoch: [49][5220/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.9038 (3.0610)	Prec@1 31.250 (29.309)	Prec@5 64.453 (58.159)
Epoch: [49][5230/7045]	Time 0.625 (0.251)	Data 0.574 (0.187)	Loss 3.0483 (3.0610)	Prec@1 26.562 (29.309)	Prec@5 56.250 (58.158)
Epoch: [49][5240/7045]	Time 0.109 (0.251)	Data 0.001 (0.187)	Loss 3.1086 (3.0610)	Prec@1 29.297 (29.311)	Prec@5 58.203 (58.160)
Epoch: [49][5250/7045]	Time 0.484 (0.251)	Data 0.433 (0.187)	Loss 3.1482 (3.0609)	Prec@1 29.688 (29.312)	Prec@5 56.250 (58.159)
Epoch: [49][5260/7045]	Time 0.136 (0.251)	Data 0.085 (0.187)	Loss 2.8745 (3.0610)	Prec@1 32.812 (29.313)	Prec@5 60.547 (58.159)
Epoch: [49][5270/7045]	Time 0.503 (0.251)	Data 0.452 (0.187)	Loss 3.0426 (3.0611)	Prec@1 29.688 (29.311)	Prec@5 59.766 (58.158)
Epoch: [49][5280/7045]	Time 0.272 (0.251)	Data 0.214 (0.187)	Loss 3.0695 (3.0609)	Prec@1 28.516 (29.315)	Prec@5 56.641 (58.162)
Epoch: [49][5290/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 2.9712 (3.0609)	Prec@1 28.516 (29.315)	Prec@5 58.203 (58.163)
Epoch: [49][5300/7045]	Time 0.162 (0.251)	Data 0.111 (0.187)	Loss 3.1731 (3.0608)	Prec@1 27.734 (29.315)	Prec@5 53.516 (58.165)
Epoch: [49][5310/7045]	Time 0.182 (0.251)	Data 0.131 (0.187)	Loss 3.0662 (3.0607)	Prec@1 25.000 (29.314)	Prec@5 60.156 (58.166)
Epoch: [49][5320/7045]	Time 0.128 (0.251)	Data 0.076 (0.187)	Loss 2.8683 (3.0607)	Prec@1 31.641 (29.314)	Prec@5 63.672 (58.168)
Epoch: [49][5330/7045]	Time 0.102 (0.251)	Data 0.025 (0.187)	Loss 2.9189 (3.0607)	Prec@1 28.516 (29.312)	Prec@5 59.375 (58.169)
Epoch: [49][5340/7045]	Time 0.107 (0.251)	Data 0.001 (0.187)	Loss 3.1358 (3.0607)	Prec@1 30.078 (29.314)	Prec@5 57.031 (58.167)
Epoch: [49][5350/7045]	Time 0.109 (0.251)	Data 0.057 (0.187)	Loss 2.9546 (3.0608)	Prec@1 30.859 (29.315)	Prec@5 58.203 (58.166)
Epoch: [49][5360/7045]	Time 0.102 (0.251)	Data 0.051 (0.187)	Loss 3.0108 (3.0609)	Prec@1 30.078 (29.313)	Prec@5 59.766 (58.164)
Epoch: [49][5370/7045]	Time 0.378 (0.251)	Data 0.327 (0.187)	Loss 3.0723 (3.0608)	Prec@1 26.953 (29.315)	Prec@5 56.641 (58.164)
Epoch: [49][5380/7045]	Time 0.157 (0.251)	Data 0.106 (0.187)	Loss 2.7260 (3.0608)	Prec@1 31.641 (29.314)	Prec@5 63.672 (58.166)
Epoch: [49][5390/7045]	Time 0.640 (0.251)	Data 0.589 (0.187)	Loss 3.0982 (3.0608)	Prec@1 30.078 (29.315)	Prec@5 56.641 (58.166)
Epoch: [49][5400/7045]	Time 0.100 (0.251)	Data 0.007 (0.187)	Loss 3.2303 (3.0608)	Prec@1 25.781 (29.313)	Prec@5 52.344 (58.165)
Epoch: [49][5410/7045]	Time 0.398 (0.251)	Data 0.347 (0.187)	Loss 3.1920 (3.0609)	Prec@1 21.875 (29.310)	Prec@5 55.859 (58.163)
Epoch: [49][5420/7045]	Time 0.099 (0.251)	Data 0.048 (0.187)	Loss 3.1733 (3.0610)	Prec@1 25.000 (29.308)	Prec@5 57.031 (58.162)
Epoch: [49][5430/7045]	Time 0.312 (0.251)	Data 0.260 (0.187)	Loss 3.0750 (3.0610)	Prec@1 30.469 (29.310)	Prec@5 56.641 (58.161)
Epoch: [49][5440/7045]	Time 0.112 (0.251)	Data 0.059 (0.187)	Loss 2.9861 (3.0610)	Prec@1 32.422 (29.312)	Prec@5 60.938 (58.161)
Epoch: [49][5450/7045]	Time 0.110 (0.251)	Data 0.057 (0.187)	Loss 3.0544 (3.0610)	Prec@1 30.078 (29.314)	Prec@5 57.812 (58.162)
Epoch: [49][5460/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 2.9791 (3.0609)	Prec@1 32.422 (29.315)	Prec@5 59.766 (58.162)
Epoch: [49][5470/7045]	Time 0.111 (0.251)	Data 0.060 (0.187)	Loss 3.1489 (3.0610)	Prec@1 25.391 (29.313)	Prec@5 55.859 (58.162)
Epoch: [49][5480/7045]	Time 0.519 (0.251)	Data 0.468 (0.187)	Loss 2.9550 (3.0609)	Prec@1 28.906 (29.315)	Prec@5 60.547 (58.166)
Epoch: [49][5490/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.0262 (3.0608)	Prec@1 32.422 (29.317)	Prec@5 58.203 (58.167)
Epoch: [49][5500/7045]	Time 0.481 (0.251)	Data 0.429 (0.187)	Loss 3.2412 (3.0609)	Prec@1 24.219 (29.314)	Prec@5 51.562 (58.166)
Epoch: [49][5510/7045]	Time 0.152 (0.251)	Data 0.091 (0.187)	Loss 3.0747 (3.0609)	Prec@1 30.078 (29.318)	Prec@5 55.469 (58.165)
Epoch: [49][5520/7045]	Time 0.807 (0.251)	Data 0.756 (0.187)	Loss 3.1917 (3.0609)	Prec@1 24.609 (29.315)	Prec@5 55.859 (58.166)
Epoch: [49][5530/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.1705 (3.0609)	Prec@1 28.516 (29.318)	Prec@5 53.125 (58.164)
Epoch: [49][5540/7045]	Time 0.459 (0.251)	Data 0.409 (0.187)	Loss 3.1421 (3.0609)	Prec@1 28.125 (29.317)	Prec@5 54.688 (58.163)
Epoch: [49][5550/7045]	Time 0.455 (0.251)	Data 0.403 (0.187)	Loss 3.1130 (3.0610)	Prec@1 29.688 (29.315)	Prec@5 56.641 (58.162)
Epoch: [49][5560/7045]	Time 0.251 (0.251)	Data 0.200 (0.187)	Loss 3.3082 (3.0610)	Prec@1 25.000 (29.313)	Prec@5 54.688 (58.162)
Epoch: [49][5570/7045]	Time 0.701 (0.251)	Data 0.650 (0.187)	Loss 3.1276 (3.0611)	Prec@1 27.734 (29.313)	Prec@5 55.859 (58.161)
Epoch: [49][5580/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 3.0998 (3.0610)	Prec@1 28.516 (29.312)	Prec@5 55.078 (58.162)
Epoch: [49][5590/7045]	Time 0.594 (0.251)	Data 0.542 (0.187)	Loss 3.1201 (3.0609)	Prec@1 27.344 (29.312)	Prec@5 58.203 (58.164)
Epoch: [49][5600/7045]	Time 0.167 (0.251)	Data 0.116 (0.187)	Loss 3.0694 (3.0608)	Prec@1 30.859 (29.313)	Prec@5 59.375 (58.167)
Epoch: [49][5610/7045]	Time 0.650 (0.251)	Data 0.598 (0.187)	Loss 3.1377 (3.0607)	Prec@1 27.734 (29.316)	Prec@5 57.031 (58.170)
Epoch: [49][5620/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 2.9307 (3.0607)	Prec@1 30.078 (29.316)	Prec@5 60.156 (58.170)
Epoch: [49][5630/7045]	Time 0.545 (0.251)	Data 0.494 (0.187)	Loss 2.9661 (3.0606)	Prec@1 30.859 (29.319)	Prec@5 57.812 (58.172)
Epoch: [49][5640/7045]	Time 0.211 (0.251)	Data 0.161 (0.187)	Loss 3.0199 (3.0607)	Prec@1 29.297 (29.318)	Prec@5 60.547 (58.170)
Epoch: [49][5650/7045]	Time 0.267 (0.251)	Data 0.209 (0.187)	Loss 2.7933 (3.0606)	Prec@1 37.891 (29.319)	Prec@5 60.938 (58.170)
Epoch: [49][5660/7045]	Time 0.547 (0.251)	Data 0.495 (0.187)	Loss 3.0234 (3.0606)	Prec@1 27.734 (29.319)	Prec@5 57.031 (58.171)
Epoch: [49][5670/7045]	Time 0.250 (0.251)	Data 0.192 (0.187)	Loss 3.0606 (3.0606)	Prec@1 26.953 (29.316)	Prec@5 59.766 (58.171)
Epoch: [49][5680/7045]	Time 0.386 (0.251)	Data 0.335 (0.187)	Loss 3.1996 (3.0606)	Prec@1 26.562 (29.316)	Prec@5 54.688 (58.171)
Epoch: [49][5690/7045]	Time 0.134 (0.251)	Data 0.077 (0.187)	Loss 3.0698 (3.0608)	Prec@1 30.469 (29.314)	Prec@5 58.984 (58.169)
Epoch: [49][5700/7045]	Time 0.249 (0.251)	Data 0.196 (0.187)	Loss 2.9203 (3.0607)	Prec@1 33.203 (29.316)	Prec@5 59.766 (58.169)
Epoch: [49][5710/7045]	Time 0.102 (0.251)	Data 0.044 (0.187)	Loss 2.9198 (3.0607)	Prec@1 33.984 (29.318)	Prec@5 60.547 (58.170)
Epoch: [49][5720/7045]	Time 0.569 (0.251)	Data 0.518 (0.187)	Loss 3.0501 (3.0607)	Prec@1 28.906 (29.317)	Prec@5 55.469 (58.170)
Epoch: [49][5730/7045]	Time 0.103 (0.251)	Data 0.050 (0.187)	Loss 2.9509 (3.0607)	Prec@1 27.734 (29.318)	Prec@5 60.156 (58.170)
Epoch: [49][5740/7045]	Time 0.362 (0.251)	Data 0.305 (0.187)	Loss 2.8710 (3.0606)	Prec@1 33.594 (29.319)	Prec@5 61.328 (58.171)
Epoch: [49][5750/7045]	Time 0.597 (0.251)	Data 0.546 (0.187)	Loss 3.0602 (3.0607)	Prec@1 28.125 (29.318)	Prec@5 56.250 (58.169)
Epoch: [49][5760/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 3.2149 (3.0608)	Prec@1 27.344 (29.316)	Prec@5 55.078 (58.167)
Epoch: [49][5770/7045]	Time 0.205 (0.251)	Data 0.156 (0.187)	Loss 2.9289 (3.0608)	Prec@1 28.125 (29.315)	Prec@5 60.938 (58.165)
Epoch: [49][5780/7045]	Time 0.149 (0.251)	Data 0.097 (0.187)	Loss 3.1635 (3.0609)	Prec@1 28.516 (29.316)	Prec@5 57.812 (58.166)
Epoch: [49][5790/7045]	Time 0.189 (0.251)	Data 0.131 (0.187)	Loss 3.0103 (3.0609)	Prec@1 33.594 (29.315)	Prec@5 60.156 (58.163)
Epoch: [49][5800/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.0034 (3.0611)	Prec@1 26.562 (29.312)	Prec@5 58.203 (58.161)
Epoch: [49][5810/7045]	Time 0.136 (0.251)	Data 0.086 (0.187)	Loss 3.0213 (3.0611)	Prec@1 30.469 (29.312)	Prec@5 62.891 (58.163)
Epoch: [49][5820/7045]	Time 0.303 (0.251)	Data 0.252 (0.187)	Loss 2.9858 (3.0611)	Prec@1 31.250 (29.312)	Prec@5 56.641 (58.161)
Epoch: [49][5830/7045]	Time 0.106 (0.251)	Data 0.055 (0.187)	Loss 2.9315 (3.0611)	Prec@1 30.859 (29.312)	Prec@5 57.812 (58.161)
Epoch: [49][5840/7045]	Time 0.307 (0.251)	Data 0.255 (0.187)	Loss 3.0241 (3.0611)	Prec@1 29.297 (29.312)	Prec@5 58.594 (58.162)
Epoch: [49][5850/7045]	Time 0.102 (0.251)	Data 0.019 (0.187)	Loss 3.0758 (3.0611)	Prec@1 26.562 (29.309)	Prec@5 58.203 (58.160)
Epoch: [49][5860/7045]	Time 0.100 (0.251)	Data 0.046 (0.187)	Loss 3.0521 (3.0612)	Prec@1 28.516 (29.309)	Prec@5 57.031 (58.160)
Epoch: [49][5870/7045]	Time 0.900 (0.251)	Data 0.838 (0.187)	Loss 3.2607 (3.0612)	Prec@1 24.609 (29.309)	Prec@5 53.125 (58.159)
Epoch: [49][5880/7045]	Time 0.108 (0.251)	Data 0.056 (0.187)	Loss 3.1164 (3.0611)	Prec@1 28.516 (29.310)	Prec@5 55.469 (58.160)
Epoch: [49][5890/7045]	Time 0.300 (0.251)	Data 0.249 (0.187)	Loss 3.2997 (3.0611)	Prec@1 26.172 (29.307)	Prec@5 52.734 (58.159)
Epoch: [49][5900/7045]	Time 0.102 (0.251)	Data 0.006 (0.187)	Loss 3.0348 (3.0611)	Prec@1 29.297 (29.307)	Prec@5 58.594 (58.159)
Epoch: [49][5910/7045]	Time 0.356 (0.251)	Data 0.296 (0.187)	Loss 3.0271 (3.0611)	Prec@1 25.781 (29.309)	Prec@5 61.328 (58.160)
Epoch: [49][5920/7045]	Time 0.101 (0.251)	Data 0.005 (0.187)	Loss 3.2007 (3.0611)	Prec@1 28.125 (29.308)	Prec@5 57.031 (58.160)
Epoch: [49][5930/7045]	Time 0.382 (0.251)	Data 0.331 (0.187)	Loss 3.1836 (3.0612)	Prec@1 28.516 (29.308)	Prec@5 53.516 (58.159)
Epoch: [49][5940/7045]	Time 0.106 (0.251)	Data 0.054 (0.187)	Loss 3.1732 (3.0612)	Prec@1 32.812 (29.308)	Prec@5 55.469 (58.158)
Epoch: [49][5950/7045]	Time 0.278 (0.251)	Data 0.227 (0.187)	Loss 3.0528 (3.0613)	Prec@1 29.688 (29.306)	Prec@5 55.469 (58.157)
Epoch: [49][5960/7045]	Time 0.241 (0.251)	Data 0.189 (0.187)	Loss 3.1352 (3.0613)	Prec@1 31.250 (29.308)	Prec@5 54.297 (58.158)
Epoch: [49][5970/7045]	Time 0.112 (0.251)	Data 0.058 (0.187)	Loss 3.1558 (3.0613)	Prec@1 26.562 (29.309)	Prec@5 54.297 (58.159)
Epoch: [49][5980/7045]	Time 0.103 (0.251)	Data 0.052 (0.187)	Loss 2.7974 (3.0612)	Prec@1 32.422 (29.311)	Prec@5 64.062 (58.160)
Epoch: [49][5990/7045]	Time 0.111 (0.251)	Data 0.001 (0.187)	Loss 2.9632 (3.0612)	Prec@1 33.203 (29.311)	Prec@5 61.328 (58.163)
Epoch: [49][6000/7045]	Time 0.135 (0.251)	Data 0.084 (0.187)	Loss 3.0370 (3.0611)	Prec@1 24.609 (29.311)	Prec@5 61.328 (58.165)
Epoch: [49][6010/7045]	Time 0.428 (0.251)	Data 0.377 (0.187)	Loss 3.1973 (3.0612)	Prec@1 30.078 (29.311)	Prec@5 54.297 (58.162)
Epoch: [49][6020/7045]	Time 0.187 (0.251)	Data 0.136 (0.187)	Loss 3.0036 (3.0613)	Prec@1 28.906 (29.312)	Prec@5 57.422 (58.160)
Epoch: [49][6030/7045]	Time 0.438 (0.251)	Data 0.387 (0.187)	Loss 3.1472 (3.0613)	Prec@1 27.344 (29.313)	Prec@5 55.859 (58.159)
Epoch: [49][6040/7045]	Time 0.195 (0.251)	Data 0.143 (0.187)	Loss 2.9613 (3.0613)	Prec@1 30.469 (29.314)	Prec@5 62.891 (58.160)
Epoch: [49][6050/7045]	Time 0.165 (0.251)	Data 0.112 (0.187)	Loss 3.2273 (3.0614)	Prec@1 27.344 (29.312)	Prec@5 53.906 (58.158)
Epoch: [49][6060/7045]	Time 0.160 (0.251)	Data 0.109 (0.187)	Loss 2.9134 (3.0614)	Prec@1 31.250 (29.310)	Prec@5 60.547 (58.159)
Epoch: [49][6070/7045]	Time 0.107 (0.251)	Data 0.055 (0.187)	Loss 3.2116 (3.0614)	Prec@1 22.266 (29.311)	Prec@5 52.344 (58.158)
Epoch: [49][6080/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.9715 (3.0615)	Prec@1 29.297 (29.310)	Prec@5 58.594 (58.157)
Epoch: [49][6090/7045]	Time 0.404 (0.251)	Data 0.353 (0.187)	Loss 3.0448 (3.0616)	Prec@1 30.078 (29.308)	Prec@5 58.984 (58.155)
Epoch: [49][6100/7045]	Time 0.376 (0.251)	Data 0.316 (0.187)	Loss 2.9212 (3.0616)	Prec@1 35.156 (29.307)	Prec@5 61.719 (58.155)
Epoch: [49][6110/7045]	Time 0.360 (0.251)	Data 0.308 (0.187)	Loss 2.9724 (3.0616)	Prec@1 33.594 (29.307)	Prec@5 59.766 (58.156)
Epoch: [49][6120/7045]	Time 0.211 (0.251)	Data 0.160 (0.187)	Loss 2.8798 (3.0615)	Prec@1 35.156 (29.308)	Prec@5 60.938 (58.157)
Epoch: [49][6130/7045]	Time 0.109 (0.251)	Data 0.057 (0.187)	Loss 3.0592 (3.0616)	Prec@1 26.953 (29.306)	Prec@5 62.109 (58.157)
Epoch: [49][6140/7045]	Time 0.173 (0.251)	Data 0.122 (0.187)	Loss 2.8570 (3.0615)	Prec@1 30.859 (29.307)	Prec@5 62.109 (58.159)
Epoch: [49][6150/7045]	Time 0.515 (0.251)	Data 0.464 (0.187)	Loss 3.0807 (3.0614)	Prec@1 31.250 (29.308)	Prec@5 57.812 (58.161)
Epoch: [49][6160/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.1261 (3.0615)	Prec@1 30.078 (29.305)	Prec@5 56.641 (58.158)
Epoch: [49][6170/7045]	Time 0.602 (0.251)	Data 0.545 (0.187)	Loss 2.8637 (3.0615)	Prec@1 30.859 (29.304)	Prec@5 60.938 (58.158)
Epoch: [49][6180/7045]	Time 0.109 (0.251)	Data 0.001 (0.187)	Loss 3.1313 (3.0615)	Prec@1 30.469 (29.304)	Prec@5 57.031 (58.158)
Epoch: [49][6190/7045]	Time 0.424 (0.251)	Data 0.366 (0.187)	Loss 3.1022 (3.0617)	Prec@1 27.734 (29.302)	Prec@5 58.203 (58.155)
Epoch: [49][6200/7045]	Time 0.102 (0.251)	Data 0.002 (0.187)	Loss 3.1697 (3.0617)	Prec@1 28.906 (29.300)	Prec@5 55.469 (58.154)
Epoch: [49][6210/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.1304 (3.0616)	Prec@1 25.391 (29.301)	Prec@5 54.688 (58.156)
Epoch: [49][6220/7045]	Time 0.270 (0.251)	Data 0.219 (0.187)	Loss 3.1229 (3.0617)	Prec@1 28.906 (29.300)	Prec@5 55.859 (58.153)
Epoch: [49][6230/7045]	Time 0.275 (0.251)	Data 0.225 (0.187)	Loss 2.8846 (3.0617)	Prec@1 35.547 (29.303)	Prec@5 63.281 (58.155)
Epoch: [49][6240/7045]	Time 0.364 (0.251)	Data 0.314 (0.187)	Loss 3.2518 (3.0618)	Prec@1 26.953 (29.300)	Prec@5 54.297 (58.153)
Epoch: [49][6250/7045]	Time 0.364 (0.251)	Data 0.313 (0.187)	Loss 3.0064 (3.0617)	Prec@1 28.906 (29.301)	Prec@5 61.719 (58.154)
Epoch: [49][6260/7045]	Time 0.466 (0.251)	Data 0.415 (0.187)	Loss 3.1836 (3.0618)	Prec@1 27.344 (29.299)	Prec@5 55.078 (58.152)
Epoch: [49][6270/7045]	Time 0.269 (0.251)	Data 0.217 (0.187)	Loss 3.2018 (3.0618)	Prec@1 28.516 (29.298)	Prec@5 58.984 (58.152)
Epoch: [49][6280/7045]	Time 0.257 (0.251)	Data 0.206 (0.187)	Loss 3.1644 (3.0619)	Prec@1 27.344 (29.295)	Prec@5 61.328 (58.151)
Epoch: [49][6290/7045]	Time 0.305 (0.251)	Data 0.255 (0.187)	Loss 3.1352 (3.0620)	Prec@1 28.125 (29.295)	Prec@5 55.469 (58.151)
Epoch: [49][6300/7045]	Time 0.107 (0.251)	Data 0.055 (0.187)	Loss 2.9970 (3.0620)	Prec@1 33.594 (29.295)	Prec@5 60.547 (58.152)
Epoch: [49][6310/7045]	Time 0.298 (0.251)	Data 0.247 (0.187)	Loss 3.0571 (3.0620)	Prec@1 28.125 (29.295)	Prec@5 57.422 (58.151)
Epoch: [49][6320/7045]	Time 0.111 (0.251)	Data 0.011 (0.187)	Loss 3.1031 (3.0620)	Prec@1 28.906 (29.295)	Prec@5 57.031 (58.151)
Epoch: [49][6330/7045]	Time 0.510 (0.251)	Data 0.459 (0.187)	Loss 3.1498 (3.0620)	Prec@1 28.906 (29.295)	Prec@5 58.984 (58.152)
Epoch: [49][6340/7045]	Time 0.108 (0.251)	Data 0.001 (0.187)	Loss 3.1946 (3.0620)	Prec@1 25.000 (29.294)	Prec@5 54.688 (58.151)
Epoch: [49][6350/7045]	Time 0.562 (0.251)	Data 0.510 (0.187)	Loss 3.1756 (3.0619)	Prec@1 25.781 (29.294)	Prec@5 53.516 (58.152)
Epoch: [49][6360/7045]	Time 0.110 (0.251)	Data 0.051 (0.187)	Loss 3.0808 (3.0620)	Prec@1 27.344 (29.292)	Prec@5 58.984 (58.151)
Epoch: [49][6370/7045]	Time 0.464 (0.251)	Data 0.413 (0.187)	Loss 3.0749 (3.0620)	Prec@1 27.344 (29.293)	Prec@5 55.469 (58.153)
Epoch: [49][6380/7045]	Time 0.197 (0.251)	Data 0.146 (0.187)	Loss 3.0238 (3.0619)	Prec@1 28.906 (29.293)	Prec@5 58.594 (58.154)
Epoch: [49][6390/7045]	Time 0.174 (0.251)	Data 0.123 (0.187)	Loss 3.0503 (3.0619)	Prec@1 29.297 (29.293)	Prec@5 58.984 (58.153)
Epoch: [49][6400/7045]	Time 0.102 (0.251)	Data 0.007 (0.187)	Loss 3.0831 (3.0618)	Prec@1 30.859 (29.295)	Prec@5 58.984 (58.156)
Epoch: [49][6410/7045]	Time 0.103 (0.251)	Data 0.001 (0.187)	Loss 3.2021 (3.0619)	Prec@1 24.219 (29.295)	Prec@5 57.031 (58.157)
Epoch: [49][6420/7045]	Time 0.108 (0.251)	Data 0.001 (0.187)	Loss 3.1162 (3.0620)	Prec@1 28.906 (29.295)	Prec@5 55.469 (58.155)
Epoch: [49][6430/7045]	Time 0.104 (0.251)	Data 0.052 (0.187)	Loss 3.0201 (3.0619)	Prec@1 29.297 (29.295)	Prec@5 56.250 (58.154)
Epoch: [49][6440/7045]	Time 0.238 (0.251)	Data 0.187 (0.187)	Loss 2.7926 (3.0620)	Prec@1 33.984 (29.295)	Prec@5 64.453 (58.154)
Epoch: [49][6450/7045]	Time 0.107 (0.251)	Data 0.055 (0.187)	Loss 3.1273 (3.0620)	Prec@1 29.297 (29.294)	Prec@5 55.469 (58.153)
Epoch: [49][6460/7045]	Time 0.212 (0.251)	Data 0.161 (0.187)	Loss 3.0997 (3.0621)	Prec@1 26.562 (29.295)	Prec@5 54.688 (58.152)
Epoch: [49][6470/7045]	Time 0.345 (0.251)	Data 0.289 (0.187)	Loss 2.6791 (3.0621)	Prec@1 34.375 (29.295)	Prec@5 63.672 (58.150)
Epoch: [49][6480/7045]	Time 0.233 (0.251)	Data 0.182 (0.187)	Loss 3.0325 (3.0620)	Prec@1 29.688 (29.295)	Prec@5 58.203 (58.151)
Epoch: [49][6490/7045]	Time 0.102 (0.251)	Data 0.048 (0.187)	Loss 3.0072 (3.0620)	Prec@1 29.688 (29.295)	Prec@5 58.594 (58.151)
Epoch: [49][6500/7045]	Time 0.117 (0.251)	Data 0.065 (0.187)	Loss 3.2504 (3.0620)	Prec@1 26.562 (29.295)	Prec@5 53.516 (58.151)
Epoch: [49][6510/7045]	Time 0.101 (0.251)	Data 0.018 (0.187)	Loss 2.9824 (3.0620)	Prec@1 29.688 (29.293)	Prec@5 62.109 (58.151)
Epoch: [49][6520/7045]	Time 0.324 (0.251)	Data 0.272 (0.187)	Loss 3.0902 (3.0620)	Prec@1 29.297 (29.292)	Prec@5 58.984 (58.150)
Epoch: [49][6530/7045]	Time 0.344 (0.251)	Data 0.292 (0.187)	Loss 3.1358 (3.0620)	Prec@1 29.297 (29.292)	Prec@5 55.078 (58.151)
Epoch: [49][6540/7045]	Time 0.194 (0.251)	Data 0.143 (0.187)	Loss 3.0829 (3.0619)	Prec@1 29.297 (29.293)	Prec@5 55.859 (58.152)
Epoch: [49][6550/7045]	Time 0.196 (0.251)	Data 0.146 (0.187)	Loss 2.9834 (3.0618)	Prec@1 29.297 (29.293)	Prec@5 57.812 (58.155)
Epoch: [49][6560/7045]	Time 0.108 (0.251)	Data 0.057 (0.187)	Loss 3.1474 (3.0618)	Prec@1 27.344 (29.294)	Prec@5 58.203 (58.156)
Epoch: [49][6570/7045]	Time 0.115 (0.251)	Data 0.062 (0.187)	Loss 3.2899 (3.0618)	Prec@1 23.438 (29.293)	Prec@5 55.078 (58.155)
Epoch: [49][6580/7045]	Time 0.237 (0.251)	Data 0.187 (0.187)	Loss 3.2360 (3.0617)	Prec@1 25.391 (29.294)	Prec@5 55.859 (58.158)
Epoch: [49][6590/7045]	Time 0.211 (0.251)	Data 0.160 (0.187)	Loss 3.1726 (3.0618)	Prec@1 25.781 (29.293)	Prec@5 57.031 (58.157)
Epoch: [49][6600/7045]	Time 0.146 (0.251)	Data 0.093 (0.187)	Loss 3.2412 (3.0619)	Prec@1 28.125 (29.291)	Prec@5 53.906 (58.155)
Epoch: [49][6610/7045]	Time 0.453 (0.251)	Data 0.401 (0.187)	Loss 2.9673 (3.0620)	Prec@1 31.250 (29.288)	Prec@5 54.688 (58.153)
Epoch: [49][6620/7045]	Time 0.188 (0.251)	Data 0.138 (0.187)	Loss 2.7488 (3.0620)	Prec@1 36.719 (29.288)	Prec@5 68.750 (58.154)
Epoch: [49][6630/7045]	Time 0.194 (0.251)	Data 0.144 (0.187)	Loss 3.1236 (3.0620)	Prec@1 27.344 (29.289)	Prec@5 58.984 (58.155)
Epoch: [49][6640/7045]	Time 0.103 (0.251)	Data 0.004 (0.187)	Loss 3.1492 (3.0620)	Prec@1 23.047 (29.288)	Prec@5 55.469 (58.155)
Epoch: [49][6650/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.9223 (3.0620)	Prec@1 32.031 (29.287)	Prec@5 60.547 (58.153)
Epoch: [49][6660/7045]	Time 0.101 (0.251)	Data 0.004 (0.187)	Loss 3.2142 (3.0621)	Prec@1 24.609 (29.287)	Prec@5 54.297 (58.151)
Epoch: [49][6670/7045]	Time 0.369 (0.251)	Data 0.311 (0.187)	Loss 3.0237 (3.0621)	Prec@1 31.641 (29.287)	Prec@5 62.109 (58.151)
Epoch: [49][6680/7045]	Time 0.102 (0.251)	Data 0.005 (0.187)	Loss 2.9852 (3.0621)	Prec@1 30.078 (29.290)	Prec@5 57.812 (58.151)
Epoch: [49][6690/7045]	Time 0.462 (0.251)	Data 0.411 (0.187)	Loss 3.0407 (3.0622)	Prec@1 25.781 (29.289)	Prec@5 56.641 (58.149)
Epoch: [49][6700/7045]	Time 0.108 (0.251)	Data 0.057 (0.187)	Loss 3.3091 (3.0622)	Prec@1 24.609 (29.287)	Prec@5 51.953 (58.147)
Epoch: [49][6710/7045]	Time 0.561 (0.251)	Data 0.503 (0.187)	Loss 2.9894 (3.0623)	Prec@1 35.547 (29.288)	Prec@5 57.031 (58.147)
Epoch: [49][6720/7045]	Time 0.389 (0.251)	Data 0.329 (0.187)	Loss 2.9751 (3.0624)	Prec@1 29.297 (29.285)	Prec@5 61.719 (58.146)
Epoch: [49][6730/7045]	Time 0.133 (0.251)	Data 0.082 (0.187)	Loss 2.9979 (3.0624)	Prec@1 32.422 (29.284)	Prec@5 59.766 (58.145)
Epoch: [49][6740/7045]	Time 0.846 (0.251)	Data 0.796 (0.187)	Loss 3.1580 (3.0623)	Prec@1 30.078 (29.287)	Prec@5 53.125 (58.145)
Epoch: [49][6750/7045]	Time 0.109 (0.251)	Data 0.050 (0.187)	Loss 3.0815 (3.0623)	Prec@1 28.906 (29.288)	Prec@5 58.203 (58.145)
Epoch: [49][6760/7045]	Time 0.489 (0.251)	Data 0.439 (0.187)	Loss 3.1685 (3.0622)	Prec@1 29.688 (29.290)	Prec@5 56.641 (58.146)
Epoch: [49][6770/7045]	Time 0.111 (0.251)	Data 0.059 (0.187)	Loss 3.0006 (3.0623)	Prec@1 27.344 (29.289)	Prec@5 60.938 (58.146)
Epoch: [49][6780/7045]	Time 0.137 (0.251)	Data 0.085 (0.187)	Loss 3.0397 (3.0623)	Prec@1 28.125 (29.288)	Prec@5 60.938 (58.145)
Epoch: [49][6790/7045]	Time 0.115 (0.251)	Data 0.064 (0.187)	Loss 3.2631 (3.0625)	Prec@1 25.391 (29.286)	Prec@5 55.469 (58.143)
Epoch: [49][6800/7045]	Time 0.185 (0.251)	Data 0.133 (0.187)	Loss 3.1276 (3.0625)	Prec@1 28.906 (29.284)	Prec@5 58.984 (58.143)
Epoch: [49][6810/7045]	Time 0.209 (0.251)	Data 0.158 (0.187)	Loss 2.8963 (3.0625)	Prec@1 33.594 (29.287)	Prec@5 60.938 (58.143)
Epoch: [49][6820/7045]	Time 0.397 (0.251)	Data 0.345 (0.187)	Loss 3.1714 (3.0625)	Prec@1 26.562 (29.288)	Prec@5 55.859 (58.142)
Epoch: [49][6830/7045]	Time 0.557 (0.251)	Data 0.496 (0.187)	Loss 2.9724 (3.0625)	Prec@1 28.516 (29.288)	Prec@5 60.156 (58.143)
Epoch: [49][6840/7045]	Time 0.110 (0.251)	Data 0.012 (0.187)	Loss 3.0334 (3.0625)	Prec@1 26.172 (29.288)	Prec@5 57.031 (58.142)
Epoch: [49][6850/7045]	Time 0.598 (0.251)	Data 0.547 (0.187)	Loss 2.8544 (3.0625)	Prec@1 33.203 (29.288)	Prec@5 62.109 (58.143)
Epoch: [49][6860/7045]	Time 0.331 (0.251)	Data 0.281 (0.187)	Loss 2.9786 (3.0624)	Prec@1 33.984 (29.288)	Prec@5 61.328 (58.145)
Epoch: [49][6870/7045]	Time 0.154 (0.251)	Data 0.102 (0.187)	Loss 2.9321 (3.0624)	Prec@1 31.641 (29.290)	Prec@5 60.938 (58.146)
Epoch: [49][6880/7045]	Time 0.308 (0.251)	Data 0.257 (0.187)	Loss 2.9816 (3.0624)	Prec@1 31.250 (29.290)	Prec@5 59.766 (58.146)
Epoch: [49][6890/7045]	Time 0.102 (0.251)	Data 0.005 (0.187)	Loss 3.2949 (3.0624)	Prec@1 26.172 (29.291)	Prec@5 51.562 (58.145)
Epoch: [49][6900/7045]	Time 0.444 (0.251)	Data 0.392 (0.187)	Loss 3.1068 (3.0624)	Prec@1 30.078 (29.289)	Prec@5 56.250 (58.144)
Epoch: [49][6910/7045]	Time 0.250 (0.251)	Data 0.198 (0.187)	Loss 3.1947 (3.0624)	Prec@1 28.906 (29.288)	Prec@5 55.078 (58.143)
Epoch: [49][6920/7045]	Time 0.589 (0.251)	Data 0.537 (0.187)	Loss 3.1118 (3.0624)	Prec@1 28.125 (29.288)	Prec@5 58.984 (58.145)
Epoch: [49][6930/7045]	Time 0.104 (0.251)	Data 0.053 (0.187)	Loss 2.9642 (3.0624)	Prec@1 31.250 (29.290)	Prec@5 62.891 (58.146)
Epoch: [49][6940/7045]	Time 0.343 (0.251)	Data 0.293 (0.187)	Loss 2.8714 (3.0622)	Prec@1 32.422 (29.293)	Prec@5 60.547 (58.147)
Epoch: [49][6950/7045]	Time 0.139 (0.251)	Data 0.086 (0.187)	Loss 2.9639 (3.0622)	Prec@1 29.297 (29.294)	Prec@5 60.938 (58.148)
Epoch: [49][6960/7045]	Time 0.335 (0.251)	Data 0.279 (0.187)	Loss 3.1116 (3.0622)	Prec@1 29.688 (29.293)	Prec@5 55.078 (58.146)
Epoch: [49][6970/7045]	Time 0.102 (0.251)	Data 0.048 (0.187)	Loss 3.1619 (3.0623)	Prec@1 30.078 (29.291)	Prec@5 56.250 (58.145)
Epoch: [49][6980/7045]	Time 0.116 (0.251)	Data 0.056 (0.187)	Loss 2.7078 (3.0623)	Prec@1 36.719 (29.293)	Prec@5 67.578 (58.146)
Epoch: [49][6990/7045]	Time 0.145 (0.251)	Data 0.094 (0.187)	Loss 3.1681 (3.0623)	Prec@1 29.297 (29.294)	Prec@5 55.469 (58.146)
Epoch: [49][7000/7045]	Time 0.426 (0.251)	Data 0.375 (0.187)	Loss 2.9496 (3.0623)	Prec@1 33.594 (29.295)	Prec@5 59.766 (58.145)
Epoch: [49][7010/7045]	Time 0.101 (0.251)	Data 0.015 (0.187)	Loss 3.2340 (3.0623)	Prec@1 29.297 (29.295)	Prec@5 56.641 (58.147)
Epoch: [49][7020/7045]	Time 0.349 (0.251)	Data 0.291 (0.187)	Loss 3.0952 (3.0622)	Prec@1 23.828 (29.296)	Prec@5 62.891 (58.149)
Epoch: [49][7030/7045]	Time 0.515 (0.251)	Data 0.465 (0.187)	Loss 3.1143 (3.0622)	Prec@1 30.469 (29.295)	Prec@5 57.422 (58.149)
Epoch: [49][7040/7045]	Time 0.224 (0.251)	Data 0.173 (0.187)	Loss 2.9625 (3.0623)	Prec@1 33.594 (29.294)	Prec@5 60.156 (58.150)
Test: [0/143]	Time 1.337 (1.337)	Loss 2.3692 (2.3692)	Prec@1 43.750 (43.750)	Prec@5 71.875 (71.875)
Test: [10/143]	Time 0.050 (0.266)	Loss 2.1749 (2.4807)	Prec@1 45.703 (38.920)	Prec@5 77.344 (70.952)
Test: [20/143]	Time 0.546 (0.243)	Loss 2.7242 (2.4522)	Prec@1 35.547 (37.667)	Prec@5 62.500 (71.689)
Test: [30/143]	Time 0.049 (0.221)	Loss 2.6613 (2.4602)	Prec@1 40.234 (38.521)	Prec@5 64.453 (70.691)
Test: [40/143]	Time 0.105 (0.210)	Loss 2.9629 (2.4791)	Prec@1 25.391 (38.443)	Prec@5 64.062 (70.065)
Test: [50/143]	Time 0.049 (0.213)	Loss 2.1984 (2.5045)	Prec@1 35.156 (37.439)	Prec@5 76.562 (69.738)
Test: [60/143]	Time 0.065 (0.205)	Loss 2.9318 (2.4964)	Prec@1 20.312 (37.551)	Prec@5 63.672 (69.960)
Test: [70/143]	Time 0.442 (0.206)	Loss 3.4581 (2.4897)	Prec@1 19.141 (37.896)	Prec@5 46.094 (70.021)
Test: [80/143]	Time 0.269 (0.204)	Loss 2.3458 (2.4826)	Prec@1 37.500 (38.146)	Prec@5 75.000 (70.202)
Test: [90/143]	Time 0.048 (0.200)	Loss 2.2336 (2.4717)	Prec@1 40.234 (38.157)	Prec@5 78.906 (70.493)
Test: [100/143]	Time 0.109 (0.199)	Loss 2.2063 (2.4625)	Prec@1 48.438 (38.428)	Prec@5 77.734 (70.811)
Test: [110/143]	Time 0.265 (0.199)	Loss 2.2985 (2.4526)	Prec@1 46.875 (38.865)	Prec@5 69.141 (70.988)
Test: [120/143]	Time 0.214 (0.197)	Loss 1.9114 (2.4375)	Prec@1 57.422 (39.434)	Prec@5 83.984 (71.275)
Test: [130/143]	Time 0.330 (0.197)	Loss 1.9820 (2.4504)	Prec@1 55.469 (39.262)	Prec@5 72.656 (70.909)
Test: [140/143]	Time 0.061 (0.196)	Loss 3.4895 (2.4731)	Prec@1 20.312 (38.838)	Prec@5 48.047 (70.385)
 * Prec@1 38.932 Prec@5 70.447
Epoch: [50][0/7045]	Time 2.622 (2.622)	Data 2.566 (2.566)	Loss 2.9172 (2.9172)	Prec@1 32.812 (32.812)	Prec@5 61.328 (61.328)
Epoch: [50][10/7045]	Time 0.247 (0.420)	Data 0.197 (0.354)	Loss 2.9463 (3.0507)	Prec@1 28.516 (29.830)	Prec@5 61.719 (58.913)
Epoch: [50][20/7045]	Time 0.439 (0.350)	Data 0.387 (0.285)	Loss 2.7607 (3.0507)	Prec@1 35.938 (29.725)	Prec@5 62.109 (58.687)
Epoch: [50][30/7045]	Time 0.102 (0.314)	Data 0.006 (0.252)	Loss 3.0378 (3.0312)	Prec@1 32.812 (30.292)	Prec@5 58.203 (58.657)
Epoch: [50][40/7045]	Time 0.129 (0.303)	Data 0.078 (0.241)	Loss 3.0677 (3.0209)	Prec@1 27.734 (30.212)	Prec@5 56.641 (58.899)
Epoch: [50][50/7045]	Time 0.102 (0.291)	Data 0.001 (0.226)	Loss 3.1037 (3.0155)	Prec@1 28.906 (30.270)	Prec@5 57.031 (58.984)
Epoch: [50][60/7045]	Time 0.222 (0.288)	Data 0.171 (0.224)	Loss 2.9767 (3.0231)	Prec@1 30.469 (30.142)	Prec@5 60.938 (58.850)
Epoch: [50][70/7045]	Time 0.101 (0.282)	Data 0.003 (0.218)	Loss 2.9081 (3.0216)	Prec@1 31.641 (30.084)	Prec@5 59.375 (58.792)
Epoch: [50][80/7045]	Time 0.102 (0.278)	Data 0.006 (0.214)	Loss 3.1548 (3.0370)	Prec@1 29.688 (29.774)	Prec@5 56.641 (58.642)
Epoch: [50][90/7045]	Time 0.270 (0.280)	Data 0.212 (0.215)	Loss 2.9844 (3.0397)	Prec@1 30.859 (29.649)	Prec@5 58.984 (58.671)
Epoch: [50][100/7045]	Time 0.215 (0.275)	Data 0.164 (0.210)	Loss 3.2419 (3.0490)	Prec@1 28.906 (29.390)	Prec@5 53.516 (58.408)
Epoch: [50][110/7045]	Time 0.109 (0.275)	Data 0.001 (0.210)	Loss 2.9344 (3.0454)	Prec@1 32.422 (29.515)	Prec@5 60.547 (58.590)
Epoch: [50][120/7045]	Time 0.338 (0.272)	Data 0.286 (0.208)	Loss 2.9840 (3.0459)	Prec@1 32.031 (29.516)	Prec@5 62.500 (58.620)
Epoch: [50][130/7045]	Time 0.559 (0.273)	Data 0.508 (0.210)	Loss 2.8961 (3.0489)	Prec@1 27.344 (29.476)	Prec@5 60.547 (58.543)
Epoch: [50][140/7045]	Time 0.108 (0.270)	Data 0.055 (0.206)	Loss 2.8166 (3.0501)	Prec@1 37.109 (29.485)	Prec@5 65.234 (58.516)
Epoch: [50][150/7045]	Time 0.452 (0.270)	Data 0.400 (0.206)	Loss 2.9252 (3.0466)	Prec@1 29.297 (29.537)	Prec@5 62.891 (58.560)
Epoch: [50][160/7045]	Time 0.183 (0.270)	Data 0.132 (0.206)	Loss 3.2216 (3.0450)	Prec@1 29.688 (29.525)	Prec@5 51.172 (58.572)
Epoch: [50][170/7045]	Time 0.231 (0.269)	Data 0.180 (0.205)	Loss 3.0473 (3.0475)	Prec@1 29.297 (29.500)	Prec@5 57.812 (58.528)
Epoch: [50][180/7045]	Time 0.274 (0.268)	Data 0.223 (0.205)	Loss 2.9710 (3.0449)	Prec@1 29.297 (29.495)	Prec@5 58.203 (58.566)
Epoch: [50][190/7045]	Time 0.278 (0.268)	Data 0.226 (0.205)	Loss 3.1385 (3.0450)	Prec@1 27.344 (29.540)	Prec@5 54.297 (58.510)
Epoch: [50][200/7045]	Time 0.101 (0.266)	Data 0.046 (0.204)	Loss 2.7136 (3.0412)	Prec@1 34.375 (29.606)	Prec@5 63.281 (58.613)
Epoch: [50][210/7045]	Time 0.112 (0.267)	Data 0.062 (0.204)	Loss 3.1333 (3.0430)	Prec@1 26.562 (29.538)	Prec@5 55.859 (58.540)
Epoch: [50][220/7045]	Time 0.129 (0.265)	Data 0.077 (0.202)	Loss 3.0375 (3.0428)	Prec@1 28.516 (29.576)	Prec@5 59.375 (58.578)
Epoch: [50][230/7045]	Time 0.112 (0.265)	Data 0.060 (0.203)	Loss 3.0305 (3.0444)	Prec@1 32.812 (29.552)	Prec@5 61.328 (58.562)
Epoch: [50][240/7045]	Time 0.635 (0.266)	Data 0.583 (0.204)	Loss 2.8834 (3.0440)	Prec@1 31.250 (29.504)	Prec@5 62.109 (58.560)
Epoch: [50][250/7045]	Time 0.101 (0.265)	Data 0.001 (0.203)	Loss 3.2139 (3.0447)	Prec@1 26.953 (29.491)	Prec@5 55.469 (58.528)
Epoch: [50][260/7045]	Time 0.591 (0.265)	Data 0.541 (0.203)	Loss 3.0527 (3.0442)	Prec@1 30.859 (29.505)	Prec@5 57.812 (58.522)
Epoch: [50][270/7045]	Time 0.101 (0.264)	Data 0.004 (0.202)	Loss 3.0264 (3.0450)	Prec@1 26.562 (29.457)	Prec@5 62.109 (58.500)
Epoch: [50][280/7045]	Time 0.333 (0.264)	Data 0.283 (0.202)	Loss 3.1829 (3.0441)	Prec@1 31.250 (29.485)	Prec@5 55.859 (58.537)
Epoch: [50][290/7045]	Time 0.255 (0.263)	Data 0.203 (0.202)	Loss 2.8496 (3.0425)	Prec@1 35.938 (29.513)	Prec@5 60.156 (58.532)
Epoch: [50][300/7045]	Time 0.142 (0.263)	Data 0.090 (0.202)	Loss 2.8500 (3.0401)	Prec@1 31.250 (29.542)	Prec@5 63.672 (58.595)
Epoch: [50][310/7045]	Time 0.396 (0.263)	Data 0.343 (0.201)	Loss 2.9011 (3.0420)	Prec@1 31.641 (29.471)	Prec@5 62.500 (58.561)
Epoch: [50][320/7045]	Time 0.132 (0.262)	Data 0.073 (0.201)	Loss 3.0163 (3.0425)	Prec@1 28.906 (29.450)	Prec@5 55.469 (58.546)
Epoch: [50][330/7045]	Time 0.153 (0.262)	Data 0.102 (0.201)	Loss 2.8602 (3.0418)	Prec@1 34.766 (29.479)	Prec@5 60.938 (58.569)
Epoch: [50][340/7045]	Time 0.241 (0.261)	Data 0.188 (0.200)	Loss 2.9543 (3.0392)	Prec@1 30.469 (29.526)	Prec@5 57.422 (58.621)
Epoch: [50][350/7045]	Time 0.101 (0.261)	Data 0.048 (0.200)	Loss 3.0007 (3.0364)	Prec@1 32.422 (29.566)	Prec@5 58.984 (58.685)
Epoch: [50][360/7045]	Time 0.203 (0.260)	Data 0.151 (0.199)	Loss 3.0103 (3.0386)	Prec@1 29.297 (29.540)	Prec@5 59.375 (58.640)
Epoch: [50][370/7045]	Time 0.117 (0.261)	Data 0.065 (0.199)	Loss 3.1983 (3.0393)	Prec@1 28.125 (29.509)	Prec@5 56.641 (58.633)
Epoch: [50][380/7045]	Time 0.210 (0.260)	Data 0.159 (0.198)	Loss 2.9043 (3.0399)	Prec@1 30.078 (29.502)	Prec@5 58.984 (58.616)
Epoch: [50][390/7045]	Time 0.102 (0.260)	Data 0.004 (0.198)	Loss 3.0896 (3.0400)	Prec@1 30.078 (29.515)	Prec@5 58.594 (58.622)
Epoch: [50][400/7045]	Time 0.224 (0.259)	Data 0.173 (0.198)	Loss 3.0359 (3.0393)	Prec@1 29.688 (29.547)	Prec@5 55.859 (58.638)
Epoch: [50][410/7045]	Time 0.199 (0.259)	Data 0.147 (0.198)	Loss 3.1728 (3.0401)	Prec@1 24.219 (29.545)	Prec@5 58.594 (58.630)
Epoch: [50][420/7045]	Time 0.450 (0.259)	Data 0.399 (0.198)	Loss 3.0353 (3.0418)	Prec@1 26.172 (29.517)	Prec@5 58.594 (58.584)
Epoch: [50][430/7045]	Time 0.246 (0.258)	Data 0.195 (0.197)	Loss 2.9251 (3.0413)	Prec@1 31.641 (29.546)	Prec@5 63.281 (58.605)
Epoch: [50][440/7045]	Time 0.416 (0.258)	Data 0.356 (0.197)	Loss 2.9815 (3.0414)	Prec@1 32.422 (29.541)	Prec@5 61.328 (58.611)
Epoch: [50][450/7045]	Time 0.377 (0.258)	Data 0.327 (0.197)	Loss 3.1020 (3.0421)	Prec@1 27.734 (29.558)	Prec@5 55.859 (58.600)
Epoch: [50][460/7045]	Time 0.159 (0.258)	Data 0.107 (0.197)	Loss 2.9288 (3.0426)	Prec@1 30.859 (29.548)	Prec@5 57.812 (58.576)
Epoch: [50][470/7045]	Time 0.250 (0.258)	Data 0.198 (0.197)	Loss 3.2792 (3.0438)	Prec@1 29.688 (29.528)	Prec@5 58.203 (58.535)
Epoch: [50][480/7045]	Time 0.386 (0.258)	Data 0.334 (0.197)	Loss 3.0545 (3.0436)	Prec@1 26.172 (29.539)	Prec@5 59.375 (58.545)
Epoch: [50][490/7045]	Time 0.385 (0.258)	Data 0.335 (0.197)	Loss 2.9888 (3.0417)	Prec@1 32.031 (29.583)	Prec@5 59.766 (58.592)
Epoch: [50][500/7045]	Time 0.445 (0.258)	Data 0.394 (0.197)	Loss 2.8442 (3.0412)	Prec@1 32.422 (29.589)	Prec@5 62.500 (58.587)
Epoch: [50][510/7045]	Time 0.573 (0.258)	Data 0.522 (0.196)	Loss 3.1893 (3.0416)	Prec@1 28.516 (29.597)	Prec@5 57.031 (58.595)
Epoch: [50][520/7045]	Time 0.101 (0.257)	Data 0.001 (0.196)	Loss 3.0363 (3.0408)	Prec@1 30.078 (29.622)	Prec@5 59.766 (58.598)
Epoch: [50][530/7045]	Time 0.473 (0.257)	Data 0.414 (0.197)	Loss 2.9584 (3.0387)	Prec@1 29.297 (29.657)	Prec@5 55.859 (58.630)
Epoch: [50][540/7045]	Time 0.320 (0.257)	Data 0.269 (0.196)	Loss 3.0880 (3.0391)	Prec@1 30.859 (29.648)	Prec@5 60.547 (58.638)
Epoch: [50][550/7045]	Time 0.325 (0.257)	Data 0.274 (0.196)	Loss 2.9845 (3.0389)	Prec@1 31.641 (29.660)	Prec@5 58.984 (58.643)
Epoch: [50][560/7045]	Time 0.571 (0.257)	Data 0.520 (0.196)	Loss 2.8455 (3.0392)	Prec@1 33.984 (29.655)	Prec@5 58.984 (58.644)
Epoch: [50][570/7045]	Time 0.289 (0.257)	Data 0.238 (0.196)	Loss 3.0099 (3.0391)	Prec@1 27.734 (29.670)	Prec@5 58.594 (58.637)
Epoch: [50][580/7045]	Time 0.378 (0.257)	Data 0.327 (0.196)	Loss 2.9458 (3.0397)	Prec@1 33.594 (29.663)	Prec@5 60.938 (58.631)
Epoch: [50][590/7045]	Time 0.110 (0.257)	Data 0.058 (0.196)	Loss 2.8679 (3.0391)	Prec@1 30.078 (29.675)	Prec@5 60.547 (58.647)
Epoch: [50][600/7045]	Time 0.271 (0.256)	Data 0.219 (0.196)	Loss 2.9134 (3.0390)	Prec@1 30.859 (29.656)	Prec@5 64.062 (58.625)
Epoch: [50][610/7045]	Time 0.324 (0.257)	Data 0.271 (0.196)	Loss 2.9924 (3.0392)	Prec@1 31.641 (29.662)	Prec@5 60.156 (58.600)
Epoch: [50][620/7045]	Time 0.123 (0.256)	Data 0.072 (0.196)	Loss 3.2490 (3.0393)	Prec@1 25.000 (29.654)	Prec@5 53.516 (58.585)
Epoch: [50][630/7045]	Time 0.487 (0.257)	Data 0.436 (0.196)	Loss 3.0547 (3.0400)	Prec@1 27.344 (29.650)	Prec@5 57.422 (58.578)
Epoch: [50][640/7045]	Time 0.319 (0.257)	Data 0.268 (0.196)	Loss 2.9780 (3.0399)	Prec@1 30.469 (29.646)	Prec@5 58.203 (58.571)
Epoch: [50][650/7045]	Time 0.362 (0.256)	Data 0.311 (0.196)	Loss 3.1667 (3.0406)	Prec@1 24.609 (29.639)	Prec@5 57.031 (58.567)
Epoch: [50][660/7045]	Time 0.102 (0.256)	Data 0.049 (0.196)	Loss 3.1950 (3.0415)	Prec@1 27.344 (29.630)	Prec@5 57.031 (58.548)
Epoch: [50][670/7045]	Time 0.109 (0.256)	Data 0.058 (0.196)	Loss 3.2944 (3.0421)	Prec@1 26.562 (29.617)	Prec@5 50.000 (58.534)
Epoch: [50][680/7045]	Time 0.314 (0.256)	Data 0.263 (0.196)	Loss 3.1186 (3.0432)	Prec@1 31.250 (29.587)	Prec@5 58.594 (58.511)
Epoch: [50][690/7045]	Time 0.352 (0.256)	Data 0.296 (0.196)	Loss 3.1071 (3.0430)	Prec@1 27.734 (29.601)	Prec@5 56.641 (58.523)
Epoch: [50][700/7045]	Time 0.325 (0.256)	Data 0.267 (0.196)	Loss 3.2441 (3.0426)	Prec@1 26.953 (29.618)	Prec@5 50.781 (58.514)
Epoch: [50][710/7045]	Time 0.301 (0.256)	Data 0.249 (0.196)	Loss 2.9473 (3.0413)	Prec@1 28.125 (29.645)	Prec@5 62.891 (58.548)
Epoch: [50][720/7045]	Time 0.206 (0.256)	Data 0.155 (0.196)	Loss 2.9786 (3.0411)	Prec@1 32.812 (29.658)	Prec@5 58.984 (58.554)
Epoch: [50][730/7045]	Time 0.196 (0.256)	Data 0.144 (0.196)	Loss 3.1629 (3.0412)	Prec@1 30.078 (29.658)	Prec@5 54.688 (58.549)
Epoch: [50][740/7045]	Time 0.102 (0.256)	Data 0.001 (0.196)	Loss 3.3268 (3.0418)	Prec@1 29.297 (29.655)	Prec@5 55.859 (58.536)
Epoch: [50][750/7045]	Time 0.107 (0.256)	Data 0.056 (0.196)	Loss 3.0096 (3.0431)	Prec@1 25.781 (29.631)	Prec@5 59.766 (58.518)
Epoch: [50][760/7045]	Time 0.101 (0.255)	Data 0.045 (0.195)	Loss 3.2622 (3.0439)	Prec@1 22.656 (29.620)	Prec@5 53.906 (58.499)
Epoch: [50][770/7045]	Time 0.102 (0.256)	Data 0.049 (0.195)	Loss 3.1052 (3.0443)	Prec@1 31.250 (29.620)	Prec@5 55.469 (58.477)
Epoch: [50][780/7045]	Time 0.340 (0.255)	Data 0.289 (0.195)	Loss 3.0438 (3.0442)	Prec@1 31.641 (29.630)	Prec@5 59.375 (58.477)
Epoch: [50][790/7045]	Time 0.101 (0.255)	Data 0.007 (0.195)	Loss 3.1339 (3.0443)	Prec@1 28.516 (29.631)	Prec@5 57.031 (58.471)
Epoch: [50][800/7045]	Time 0.404 (0.255)	Data 0.352 (0.195)	Loss 3.2566 (3.0448)	Prec@1 25.000 (29.626)	Prec@5 53.125 (58.467)
Epoch: [50][810/7045]	Time 0.157 (0.255)	Data 0.106 (0.195)	Loss 3.1767 (3.0446)	Prec@1 30.078 (29.631)	Prec@5 56.250 (58.477)
Epoch: [50][820/7045]	Time 0.654 (0.255)	Data 0.603 (0.195)	Loss 3.1723 (3.0443)	Prec@1 28.906 (29.643)	Prec@5 55.078 (58.490)
Epoch: [50][830/7045]	Time 0.102 (0.255)	Data 0.001 (0.194)	Loss 3.0192 (3.0445)	Prec@1 28.516 (29.638)	Prec@5 60.938 (58.491)
Epoch: [50][840/7045]	Time 0.561 (0.255)	Data 0.511 (0.194)	Loss 2.8392 (3.0451)	Prec@1 30.078 (29.622)	Prec@5 67.578 (58.484)
Epoch: [50][850/7045]	Time 0.164 (0.255)	Data 0.112 (0.194)	Loss 3.0355 (3.0451)	Prec@1 26.562 (29.612)	Prec@5 61.328 (58.490)
Epoch: [50][860/7045]	Time 0.335 (0.255)	Data 0.284 (0.194)	Loss 3.1279 (3.0448)	Prec@1 33.203 (29.624)	Prec@5 57.812 (58.503)
Epoch: [50][870/7045]	Time 0.362 (0.255)	Data 0.311 (0.194)	Loss 2.7812 (3.0443)	Prec@1 33.203 (29.622)	Prec@5 66.406 (58.515)
Epoch: [50][880/7045]	Time 0.102 (0.254)	Data 0.048 (0.194)	Loss 2.9055 (3.0440)	Prec@1 30.469 (29.625)	Prec@5 58.984 (58.526)
Epoch: [50][890/7045]	Time 0.441 (0.255)	Data 0.391 (0.194)	Loss 3.0763 (3.0434)	Prec@1 30.469 (29.633)	Prec@5 55.859 (58.540)
Epoch: [50][900/7045]	Time 0.111 (0.254)	Data 0.059 (0.194)	Loss 3.0633 (3.0431)	Prec@1 23.047 (29.642)	Prec@5 55.469 (58.540)
Epoch: [50][910/7045]	Time 0.585 (0.255)	Data 0.533 (0.194)	Loss 2.8586 (3.0420)	Prec@1 32.812 (29.667)	Prec@5 60.547 (58.561)
Epoch: [50][920/7045]	Time 0.101 (0.254)	Data 0.001 (0.194)	Loss 3.0746 (3.0421)	Prec@1 29.688 (29.671)	Prec@5 57.031 (58.558)
Epoch: [50][930/7045]	Time 0.432 (0.254)	Data 0.381 (0.194)	Loss 3.0151 (3.0424)	Prec@1 26.562 (29.678)	Prec@5 64.453 (58.561)
Epoch: [50][940/7045]	Time 0.110 (0.254)	Data 0.004 (0.193)	Loss 2.9270 (3.0422)	Prec@1 32.031 (29.679)	Prec@5 58.594 (58.552)
Epoch: [50][950/7045]	Time 0.347 (0.254)	Data 0.294 (0.193)	Loss 3.1083 (3.0421)	Prec@1 30.859 (29.678)	Prec@5 53.906 (58.536)
Epoch: [50][960/7045]	Time 0.102 (0.254)	Data 0.006 (0.193)	Loss 2.9515 (3.0421)	Prec@1 30.469 (29.685)	Prec@5 58.203 (58.534)
Epoch: [50][970/7045]	Time 0.102 (0.254)	Data 0.047 (0.193)	Loss 2.7813 (3.0426)	Prec@1 33.984 (29.688)	Prec@5 60.156 (58.527)
Epoch: [50][980/7045]	Time 0.103 (0.254)	Data 0.005 (0.193)	Loss 3.1396 (3.0422)	Prec@1 28.516 (29.690)	Prec@5 59.766 (58.544)
Epoch: [50][990/7045]	Time 0.150 (0.254)	Data 0.097 (0.193)	Loss 3.2222 (3.0426)	Prec@1 24.219 (29.679)	Prec@5 52.734 (58.539)
Epoch: [50][1000/7045]	Time 0.102 (0.253)	Data 0.001 (0.192)	Loss 3.1307 (3.0433)	Prec@1 25.781 (29.657)	Prec@5 57.422 (58.535)
Epoch: [50][1010/7045]	Time 0.422 (0.254)	Data 0.364 (0.192)	Loss 2.9642 (3.0428)	Prec@1 30.469 (29.673)	Prec@5 60.156 (58.538)
Epoch: [50][1020/7045]	Time 0.102 (0.253)	Data 0.001 (0.192)	Loss 2.9114 (3.0425)	Prec@1 31.250 (29.679)	Prec@5 62.500 (58.539)
Epoch: [50][1030/7045]	Time 0.390 (0.253)	Data 0.339 (0.192)	Loss 3.0880 (3.0424)	Prec@1 25.781 (29.669)	Prec@5 53.906 (58.537)
Epoch: [50][1040/7045]	Time 0.250 (0.253)	Data 0.198 (0.192)	Loss 3.0684 (3.0423)	Prec@1 29.688 (29.662)	Prec@5 57.422 (58.536)
Epoch: [50][1050/7045]	Time 0.388 (0.253)	Data 0.336 (0.192)	Loss 3.0598 (3.0422)	Prec@1 26.172 (29.661)	Prec@5 60.938 (58.535)
Epoch: [50][1060/7045]	Time 0.102 (0.253)	Data 0.005 (0.192)	Loss 2.7843 (3.0416)	Prec@1 36.719 (29.673)	Prec@5 68.750 (58.551)
Epoch: [50][1070/7045]	Time 0.139 (0.253)	Data 0.088 (0.192)	Loss 3.0122 (3.0418)	Prec@1 26.953 (29.664)	Prec@5 58.984 (58.548)
Epoch: [50][1080/7045]	Time 0.137 (0.253)	Data 0.086 (0.192)	Loss 3.1044 (3.0422)	Prec@1 26.953 (29.656)	Prec@5 59.766 (58.539)
Epoch: [50][1090/7045]	Time 0.203 (0.253)	Data 0.152 (0.192)	Loss 3.1166 (3.0418)	Prec@1 30.469 (29.657)	Prec@5 57.812 (58.559)
Epoch: [50][1100/7045]	Time 0.108 (0.253)	Data 0.055 (0.192)	Loss 2.7757 (3.0418)	Prec@1 35.547 (29.660)	Prec@5 64.062 (58.551)
Epoch: [50][1110/7045]	Time 0.327 (0.253)	Data 0.277 (0.192)	Loss 3.0593 (3.0418)	Prec@1 26.953 (29.658)	Prec@5 59.766 (58.553)
Epoch: [50][1120/7045]	Time 0.155 (0.253)	Data 0.103 (0.192)	Loss 2.8711 (3.0413)	Prec@1 30.859 (29.662)	Prec@5 64.062 (58.562)
Epoch: [50][1130/7045]	Time 0.398 (0.253)	Data 0.347 (0.192)	Loss 2.7176 (3.0415)	Prec@1 38.672 (29.650)	Prec@5 65.234 (58.564)
Epoch: [50][1140/7045]	Time 0.166 (0.253)	Data 0.115 (0.192)	Loss 3.0562 (3.0414)	Prec@1 27.344 (29.654)	Prec@5 58.984 (58.565)
Epoch: [50][1150/7045]	Time 0.363 (0.253)	Data 0.311 (0.192)	Loss 2.8901 (3.0408)	Prec@1 34.375 (29.657)	Prec@5 61.328 (58.579)
Epoch: [50][1160/7045]	Time 0.103 (0.252)	Data 0.051 (0.192)	Loss 2.9663 (3.0412)	Prec@1 32.812 (29.656)	Prec@5 62.109 (58.569)
Epoch: [50][1170/7045]	Time 0.138 (0.253)	Data 0.086 (0.192)	Loss 3.1160 (3.0416)	Prec@1 25.391 (29.645)	Prec@5 56.641 (58.569)
Epoch: [50][1180/7045]	Time 0.102 (0.252)	Data 0.001 (0.191)	Loss 3.1045 (3.0415)	Prec@1 31.250 (29.638)	Prec@5 57.812 (58.568)
Epoch: [50][1190/7045]	Time 0.103 (0.252)	Data 0.006 (0.192)	Loss 3.1871 (3.0418)	Prec@1 26.172 (29.639)	Prec@5 55.859 (58.556)
Epoch: [50][1200/7045]	Time 0.130 (0.252)	Data 0.079 (0.191)	Loss 2.9465 (3.0416)	Prec@1 34.375 (29.634)	Prec@5 59.375 (58.559)
Epoch: [50][1210/7045]	Time 0.155 (0.252)	Data 0.103 (0.191)	Loss 2.9423 (3.0411)	Prec@1 36.719 (29.653)	Prec@5 60.938 (58.572)
Epoch: [50][1220/7045]	Time 0.121 (0.252)	Data 0.069 (0.191)	Loss 2.9641 (3.0407)	Prec@1 29.297 (29.651)	Prec@5 62.500 (58.581)
Epoch: [50][1230/7045]	Time 0.102 (0.252)	Data 0.004 (0.191)	Loss 3.0211 (3.0406)	Prec@1 32.031 (29.649)	Prec@5 60.938 (58.586)
Epoch: [50][1240/7045]	Time 0.158 (0.252)	Data 0.107 (0.191)	Loss 2.9537 (3.0402)	Prec@1 28.906 (29.651)	Prec@5 60.938 (58.596)
Epoch: [50][1250/7045]	Time 0.103 (0.252)	Data 0.006 (0.191)	Loss 3.2139 (3.0405)	Prec@1 25.000 (29.643)	Prec@5 54.297 (58.586)
Epoch: [50][1260/7045]	Time 0.645 (0.252)	Data 0.585 (0.191)	Loss 3.0824 (3.0404)	Prec@1 28.125 (29.637)	Prec@5 58.203 (58.588)
Epoch: [50][1270/7045]	Time 0.103 (0.252)	Data 0.001 (0.190)	Loss 3.1095 (3.0414)	Prec@1 30.469 (29.622)	Prec@5 56.250 (58.571)
Epoch: [50][1280/7045]	Time 0.234 (0.252)	Data 0.182 (0.191)	Loss 3.0890 (3.0413)	Prec@1 28.906 (29.616)	Prec@5 56.641 (58.578)
Epoch: [50][1290/7045]	Time 0.107 (0.252)	Data 0.053 (0.190)	Loss 3.1600 (3.0410)	Prec@1 27.344 (29.618)	Prec@5 53.516 (58.581)
Epoch: [50][1300/7045]	Time 0.101 (0.252)	Data 0.001 (0.190)	Loss 2.7409 (3.0408)	Prec@1 39.453 (29.624)	Prec@5 61.719 (58.578)
Epoch: [50][1310/7045]	Time 0.101 (0.252)	Data 0.001 (0.190)	Loss 3.2288 (3.0407)	Prec@1 27.344 (29.626)	Prec@5 55.078 (58.582)
Epoch: [50][1320/7045]	Time 0.268 (0.252)	Data 0.217 (0.190)	Loss 2.9930 (3.0406)	Prec@1 30.469 (29.632)	Prec@5 60.938 (58.580)
Epoch: [50][1330/7045]	Time 0.101 (0.252)	Data 0.001 (0.190)	Loss 3.0504 (3.0408)	Prec@1 32.031 (29.637)	Prec@5 59.375 (58.569)
Epoch: [50][1340/7045]	Time 0.622 (0.253)	Data 0.571 (0.191)	Loss 3.1492 (3.0405)	Prec@1 30.078 (29.648)	Prec@5 56.641 (58.570)
Epoch: [50][1350/7045]	Time 0.348 (0.252)	Data 0.297 (0.190)	Loss 3.0261 (3.0407)	Prec@1 28.516 (29.643)	Prec@5 59.375 (58.571)
Epoch: [50][1360/7045]	Time 0.326 (0.252)	Data 0.266 (0.190)	Loss 3.1697 (3.0409)	Prec@1 28.906 (29.647)	Prec@5 56.641 (58.568)
Epoch: [50][1370/7045]	Time 0.402 (0.252)	Data 0.351 (0.190)	Loss 3.0194 (3.0405)	Prec@1 28.516 (29.648)	Prec@5 59.766 (58.570)
Epoch: [50][1380/7045]	Time 0.284 (0.252)	Data 0.226 (0.190)	Loss 3.0446 (3.0404)	Prec@1 29.297 (29.651)	Prec@5 55.469 (58.567)
Epoch: [50][1390/7045]	Time 0.179 (0.252)	Data 0.127 (0.191)	Loss 2.9662 (3.0405)	Prec@1 32.031 (29.659)	Prec@5 61.719 (58.562)
Epoch: [50][1400/7045]	Time 0.541 (0.253)	Data 0.489 (0.191)	Loss 2.9385 (3.0406)	Prec@1 31.250 (29.653)	Prec@5 60.156 (58.556)
Epoch: [50][1410/7045]	Time 0.102 (0.252)	Data 0.013 (0.191)	Loss 2.8634 (3.0406)	Prec@1 33.203 (29.642)	Prec@5 62.891 (58.560)
Epoch: [50][1420/7045]	Time 0.519 (0.253)	Data 0.467 (0.191)	Loss 2.8682 (3.0404)	Prec@1 31.250 (29.643)	Prec@5 61.328 (58.566)
Epoch: [50][1430/7045]	Time 0.201 (0.252)	Data 0.150 (0.190)	Loss 2.9330 (3.0405)	Prec@1 29.688 (29.639)	Prec@5 60.156 (58.562)
Epoch: [50][1440/7045]	Time 0.236 (0.252)	Data 0.186 (0.191)	Loss 2.8896 (3.0403)	Prec@1 35.156 (29.652)	Prec@5 60.938 (58.569)
Epoch: [50][1450/7045]	Time 0.220 (0.252)	Data 0.169 (0.191)	Loss 2.8742 (3.0406)	Prec@1 30.859 (29.651)	Prec@5 60.938 (58.563)
Epoch: [50][1460/7045]	Time 0.107 (0.252)	Data 0.047 (0.191)	Loss 2.8586 (3.0402)	Prec@1 30.078 (29.650)	Prec@5 60.156 (58.562)
Epoch: [50][1470/7045]	Time 0.321 (0.252)	Data 0.270 (0.191)	Loss 3.0504 (3.0399)	Prec@1 32.031 (29.647)	Prec@5 60.156 (58.569)
Epoch: [50][1480/7045]	Time 0.102 (0.253)	Data 0.001 (0.191)	Loss 3.1929 (3.0405)	Prec@1 25.391 (29.642)	Prec@5 57.031 (58.554)
Epoch: [50][1490/7045]	Time 0.167 (0.252)	Data 0.116 (0.190)	Loss 3.1416 (3.0402)	Prec@1 29.297 (29.644)	Prec@5 54.688 (58.557)
Epoch: [50][1500/7045]	Time 0.099 (0.253)	Data 0.044 (0.191)	Loss 2.8685 (3.0397)	Prec@1 34.375 (29.646)	Prec@5 63.281 (58.566)
Epoch: [50][1510/7045]	Time 0.151 (0.252)	Data 0.100 (0.191)	Loss 2.8799 (3.0396)	Prec@1 28.125 (29.647)	Prec@5 64.844 (58.569)
Epoch: [50][1520/7045]	Time 0.108 (0.252)	Data 0.006 (0.191)	Loss 3.0710 (3.0399)	Prec@1 29.688 (29.647)	Prec@5 60.156 (58.565)
Epoch: [50][1530/7045]	Time 0.297 (0.252)	Data 0.245 (0.191)	Loss 3.0433 (3.0397)	Prec@1 31.250 (29.643)	Prec@5 58.594 (58.565)
Epoch: [50][1540/7045]	Time 0.113 (0.252)	Data 0.061 (0.191)	Loss 2.8784 (3.0396)	Prec@1 29.297 (29.639)	Prec@5 62.109 (58.567)
Epoch: [50][1550/7045]	Time 0.533 (0.253)	Data 0.481 (0.191)	Loss 2.9960 (3.0396)	Prec@1 32.422 (29.641)	Prec@5 58.594 (58.566)
Epoch: [50][1560/7045]	Time 0.157 (0.252)	Data 0.106 (0.191)	Loss 3.1272 (3.0395)	Prec@1 27.344 (29.640)	Prec@5 57.422 (58.571)
Epoch: [50][1570/7045]	Time 0.460 (0.253)	Data 0.408 (0.191)	Loss 2.8697 (3.0396)	Prec@1 36.328 (29.637)	Prec@5 63.281 (58.569)
Epoch: [50][1580/7045]	Time 0.120 (0.252)	Data 0.068 (0.191)	Loss 3.1384 (3.0396)	Prec@1 25.391 (29.636)	Prec@5 58.984 (58.576)
Epoch: [50][1590/7045]	Time 0.235 (0.252)	Data 0.183 (0.191)	Loss 2.9104 (3.0394)	Prec@1 30.469 (29.638)	Prec@5 65.625 (58.583)
Epoch: [50][1600/7045]	Time 0.194 (0.252)	Data 0.142 (0.191)	Loss 3.1253 (3.0396)	Prec@1 26.953 (29.630)	Prec@5 57.812 (58.584)
Epoch: [50][1610/7045]	Time 0.101 (0.252)	Data 0.005 (0.191)	Loss 2.9618 (3.0399)	Prec@1 33.203 (29.623)	Prec@5 59.375 (58.574)
Epoch: [50][1620/7045]	Time 0.102 (0.252)	Data 0.001 (0.191)	Loss 3.1435 (3.0399)	Prec@1 30.078 (29.633)	Prec@5 57.031 (58.582)
Epoch: [50][1630/7045]	Time 0.098 (0.253)	Data 0.001 (0.191)	Loss 2.9520 (3.0401)	Prec@1 33.203 (29.629)	Prec@5 63.672 (58.582)
Epoch: [50][1640/7045]	Time 0.102 (0.252)	Data 0.046 (0.191)	Loss 3.2385 (3.0402)	Prec@1 30.469 (29.630)	Prec@5 53.516 (58.579)
Epoch: [50][1650/7045]	Time 0.101 (0.253)	Data 0.001 (0.191)	Loss 3.2687 (3.0401)	Prec@1 27.344 (29.636)	Prec@5 53.125 (58.581)
Epoch: [50][1660/7045]	Time 0.102 (0.252)	Data 0.003 (0.190)	Loss 3.1522 (3.0402)	Prec@1 28.125 (29.636)	Prec@5 55.859 (58.577)
Epoch: [50][1670/7045]	Time 0.102 (0.252)	Data 0.003 (0.190)	Loss 2.6936 (3.0402)	Prec@1 35.938 (29.642)	Prec@5 66.406 (58.583)
Epoch: [50][1680/7045]	Time 0.147 (0.252)	Data 0.094 (0.190)	Loss 3.0805 (3.0402)	Prec@1 28.906 (29.646)	Prec@5 55.469 (58.584)
Epoch: [50][1690/7045]	Time 0.222 (0.252)	Data 0.172 (0.190)	Loss 2.9915 (3.0405)	Prec@1 26.953 (29.638)	Prec@5 58.203 (58.579)
Epoch: [50][1700/7045]	Time 0.139 (0.252)	Data 0.087 (0.190)	Loss 2.9267 (3.0406)	Prec@1 26.172 (29.640)	Prec@5 63.281 (58.575)
Epoch: [50][1710/7045]	Time 0.162 (0.252)	Data 0.111 (0.190)	Loss 3.1283 (3.0405)	Prec@1 30.469 (29.640)	Prec@5 55.469 (58.575)
Epoch: [50][1720/7045]	Time 0.308 (0.252)	Data 0.257 (0.190)	Loss 3.1691 (3.0409)	Prec@1 32.031 (29.644)	Prec@5 55.078 (58.569)
Epoch: [50][1730/7045]	Time 0.187 (0.252)	Data 0.136 (0.190)	Loss 2.8645 (3.0413)	Prec@1 33.984 (29.640)	Prec@5 61.328 (58.558)
Epoch: [50][1740/7045]	Time 0.102 (0.252)	Data 0.002 (0.190)	Loss 3.0950 (3.0412)	Prec@1 30.078 (29.642)	Prec@5 58.594 (58.561)
Epoch: [50][1750/7045]	Time 0.103 (0.252)	Data 0.050 (0.190)	Loss 3.0130 (3.0412)	Prec@1 30.859 (29.643)	Prec@5 55.859 (58.565)
Epoch: [50][1760/7045]	Time 0.325 (0.252)	Data 0.274 (0.190)	Loss 3.0220 (3.0413)	Prec@1 28.516 (29.641)	Prec@5 60.156 (58.558)
Epoch: [50][1770/7045]	Time 0.182 (0.252)	Data 0.131 (0.190)	Loss 3.2377 (3.0414)	Prec@1 29.297 (29.635)	Prec@5 55.469 (58.555)
Epoch: [50][1780/7045]	Time 0.313 (0.252)	Data 0.261 (0.190)	Loss 2.9746 (3.0413)	Prec@1 30.469 (29.637)	Prec@5 58.594 (58.558)
Epoch: [50][1790/7045]	Time 0.101 (0.252)	Data 0.001 (0.190)	Loss 2.9937 (3.0413)	Prec@1 28.125 (29.636)	Prec@5 57.031 (58.560)
Epoch: [50][1800/7045]	Time 0.289 (0.252)	Data 0.238 (0.190)	Loss 3.1322 (3.0413)	Prec@1 30.469 (29.639)	Prec@5 60.156 (58.561)
Epoch: [50][1810/7045]	Time 0.225 (0.252)	Data 0.172 (0.190)	Loss 3.0076 (3.0417)	Prec@1 30.078 (29.626)	Prec@5 58.984 (58.548)
Epoch: [50][1820/7045]	Time 0.299 (0.252)	Data 0.247 (0.190)	Loss 2.9272 (3.0415)	Prec@1 33.984 (29.629)	Prec@5 60.938 (58.553)
Epoch: [50][1830/7045]	Time 0.198 (0.252)	Data 0.146 (0.190)	Loss 2.9022 (3.0412)	Prec@1 32.422 (29.625)	Prec@5 62.891 (58.558)
Epoch: [50][1840/7045]	Time 0.162 (0.252)	Data 0.110 (0.190)	Loss 3.0095 (3.0412)	Prec@1 29.688 (29.624)	Prec@5 60.156 (58.554)
Epoch: [50][1850/7045]	Time 0.403 (0.252)	Data 0.344 (0.190)	Loss 3.1233 (3.0411)	Prec@1 26.953 (29.625)	Prec@5 56.250 (58.550)
Epoch: [50][1860/7045]	Time 0.102 (0.252)	Data 0.001 (0.190)	Loss 2.9651 (3.0411)	Prec@1 30.469 (29.623)	Prec@5 61.719 (58.551)
Epoch: [50][1870/7045]	Time 0.362 (0.252)	Data 0.305 (0.190)	Loss 2.8708 (3.0412)	Prec@1 31.641 (29.627)	Prec@5 59.766 (58.546)
Epoch: [50][1880/7045]	Time 0.505 (0.252)	Data 0.447 (0.190)	Loss 3.1927 (3.0413)	Prec@1 29.688 (29.625)	Prec@5 58.594 (58.548)
Epoch: [50][1890/7045]	Time 0.102 (0.252)	Data 0.001 (0.190)	Loss 3.1702 (3.0418)	Prec@1 27.734 (29.621)	Prec@5 53.906 (58.539)
Epoch: [50][1900/7045]	Time 0.520 (0.252)	Data 0.461 (0.190)	Loss 2.9789 (3.0419)	Prec@1 29.688 (29.612)	Prec@5 58.594 (58.534)
Epoch: [50][1910/7045]	Time 0.383 (0.252)	Data 0.332 (0.190)	Loss 3.1700 (3.0420)	Prec@1 26.953 (29.604)	Prec@5 55.078 (58.534)
Epoch: [50][1920/7045]	Time 0.101 (0.252)	Data 0.001 (0.190)	Loss 3.0164 (3.0420)	Prec@1 25.000 (29.605)	Prec@5 57.422 (58.529)
Epoch: [50][1930/7045]	Time 0.163 (0.252)	Data 0.112 (0.190)	Loss 2.9308 (3.0418)	Prec@1 30.078 (29.604)	Prec@5 61.719 (58.534)
Epoch: [50][1940/7045]	Time 0.639 (0.253)	Data 0.582 (0.191)	Loss 2.8468 (3.0414)	Prec@1 31.250 (29.609)	Prec@5 65.234 (58.544)
Epoch: [50][1950/7045]	Time 0.101 (0.252)	Data 0.006 (0.190)	Loss 2.9532 (3.0418)	Prec@1 31.250 (29.609)	Prec@5 64.453 (58.544)
Epoch: [50][1960/7045]	Time 0.611 (0.253)	Data 0.560 (0.191)	Loss 2.9174 (3.0417)	Prec@1 28.906 (29.608)	Prec@5 58.594 (58.545)
Epoch: [50][1970/7045]	Time 0.102 (0.252)	Data 0.003 (0.190)	Loss 2.9654 (3.0418)	Prec@1 32.812 (29.614)	Prec@5 58.984 (58.541)
Epoch: [50][1980/7045]	Time 0.491 (0.252)	Data 0.439 (0.191)	Loss 3.0387 (3.0417)	Prec@1 30.859 (29.613)	Prec@5 57.422 (58.541)
Epoch: [50][1990/7045]	Time 0.102 (0.252)	Data 0.001 (0.190)	Loss 3.0397 (3.0415)	Prec@1 29.688 (29.621)	Prec@5 58.203 (58.544)
Epoch: [50][2000/7045]	Time 0.574 (0.252)	Data 0.518 (0.190)	Loss 2.9364 (3.0413)	Prec@1 31.250 (29.619)	Prec@5 57.422 (58.546)
Epoch: [50][2010/7045]	Time 0.101 (0.252)	Data 0.010 (0.190)	Loss 2.9795 (3.0415)	Prec@1 30.859 (29.614)	Prec@5 61.328 (58.541)
Epoch: [50][2020/7045]	Time 0.444 (0.252)	Data 0.394 (0.190)	Loss 3.1411 (3.0415)	Prec@1 28.906 (29.614)	Prec@5 57.812 (58.543)
Epoch: [50][2030/7045]	Time 0.150 (0.252)	Data 0.093 (0.190)	Loss 3.1959 (3.0415)	Prec@1 26.562 (29.612)	Prec@5 54.688 (58.545)
Epoch: [50][2040/7045]	Time 0.320 (0.252)	Data 0.269 (0.190)	Loss 3.1700 (3.0419)	Prec@1 27.734 (29.607)	Prec@5 53.516 (58.544)
Epoch: [50][2050/7045]	Time 0.282 (0.252)	Data 0.232 (0.190)	Loss 2.8459 (3.0419)	Prec@1 32.812 (29.605)	Prec@5 64.453 (58.544)
Epoch: [50][2060/7045]	Time 0.271 (0.252)	Data 0.219 (0.190)	Loss 2.9562 (3.0421)	Prec@1 30.078 (29.600)	Prec@5 63.281 (58.544)
Epoch: [50][2070/7045]	Time 0.109 (0.252)	Data 0.006 (0.190)	Loss 3.2131 (3.0423)	Prec@1 29.688 (29.596)	Prec@5 54.688 (58.535)
Epoch: [50][2080/7045]	Time 0.137 (0.252)	Data 0.086 (0.190)	Loss 2.9117 (3.0421)	Prec@1 26.172 (29.596)	Prec@5 57.422 (58.541)
Epoch: [50][2090/7045]	Time 0.191 (0.252)	Data 0.133 (0.190)	Loss 2.9628 (3.0421)	Prec@1 30.469 (29.602)	Prec@5 61.719 (58.545)
Epoch: [50][2100/7045]	Time 0.102 (0.252)	Data 0.001 (0.190)	Loss 2.9418 (3.0420)	Prec@1 28.125 (29.602)	Prec@5 62.109 (58.550)
Epoch: [50][2110/7045]	Time 0.114 (0.252)	Data 0.062 (0.190)	Loss 3.0229 (3.0420)	Prec@1 32.031 (29.605)	Prec@5 60.156 (58.550)
Epoch: [50][2120/7045]	Time 0.101 (0.252)	Data 0.046 (0.190)	Loss 3.0052 (3.0421)	Prec@1 31.250 (29.604)	Prec@5 59.766 (58.550)
Epoch: [50][2130/7045]	Time 0.101 (0.252)	Data 0.001 (0.190)	Loss 3.0696 (3.0421)	Prec@1 31.250 (29.604)	Prec@5 58.984 (58.552)
Epoch: [50][2140/7045]	Time 0.154 (0.252)	Data 0.104 (0.189)	Loss 3.2137 (3.0420)	Prec@1 23.047 (29.597)	Prec@5 57.422 (58.550)
Epoch: [50][2150/7045]	Time 0.110 (0.252)	Data 0.051 (0.189)	Loss 3.0232 (3.0423)	Prec@1 32.422 (29.597)	Prec@5 59.375 (58.546)
Epoch: [50][2160/7045]	Time 0.345 (0.252)	Data 0.293 (0.189)	Loss 2.9898 (3.0420)	Prec@1 30.469 (29.608)	Prec@5 58.984 (58.558)
Epoch: [50][2170/7045]	Time 0.119 (0.252)	Data 0.060 (0.189)	Loss 2.8640 (3.0419)	Prec@1 30.859 (29.605)	Prec@5 60.156 (58.557)
Epoch: [50][2180/7045]	Time 0.301 (0.252)	Data 0.251 (0.189)	Loss 3.2658 (3.0421)	Prec@1 26.172 (29.604)	Prec@5 52.734 (58.550)
Epoch: [50][2190/7045]	Time 0.235 (0.252)	Data 0.183 (0.189)	Loss 3.1636 (3.0421)	Prec@1 30.859 (29.608)	Prec@5 57.422 (58.550)
Epoch: [50][2200/7045]	Time 0.460 (0.252)	Data 0.400 (0.189)	Loss 2.8698 (3.0420)	Prec@1 35.156 (29.611)	Prec@5 64.453 (58.555)
Epoch: [50][2210/7045]	Time 0.126 (0.252)	Data 0.074 (0.189)	Loss 3.1286 (3.0420)	Prec@1 28.516 (29.613)	Prec@5 57.812 (58.554)
Epoch: [50][2220/7045]	Time 0.562 (0.252)	Data 0.511 (0.189)	Loss 2.9678 (3.0420)	Prec@1 30.078 (29.607)	Prec@5 59.375 (58.557)
Epoch: [50][2230/7045]	Time 0.101 (0.252)	Data 0.046 (0.189)	Loss 3.0794 (3.0421)	Prec@1 28.516 (29.607)	Prec@5 60.938 (58.554)
Epoch: [50][2240/7045]	Time 0.260 (0.252)	Data 0.207 (0.189)	Loss 3.1044 (3.0423)	Prec@1 29.297 (29.611)	Prec@5 53.125 (58.551)
Epoch: [50][2250/7045]	Time 0.225 (0.252)	Data 0.174 (0.189)	Loss 3.1731 (3.0427)	Prec@1 25.000 (29.608)	Prec@5 55.078 (58.543)
Epoch: [50][2260/7045]	Time 0.495 (0.252)	Data 0.443 (0.189)	Loss 3.1471 (3.0427)	Prec@1 28.125 (29.609)	Prec@5 55.859 (58.545)
Epoch: [50][2270/7045]	Time 0.109 (0.252)	Data 0.058 (0.189)	Loss 3.2167 (3.0432)	Prec@1 26.953 (29.603)	Prec@5 52.734 (58.536)
Epoch: [50][2280/7045]	Time 0.475 (0.252)	Data 0.424 (0.189)	Loss 3.1605 (3.0434)	Prec@1 28.906 (29.599)	Prec@5 52.734 (58.533)
Epoch: [50][2290/7045]	Time 0.186 (0.252)	Data 0.134 (0.189)	Loss 2.8774 (3.0432)	Prec@1 32.031 (29.602)	Prec@5 61.328 (58.537)
Epoch: [50][2300/7045]	Time 0.102 (0.252)	Data 0.001 (0.189)	Loss 3.1117 (3.0432)	Prec@1 28.906 (29.603)	Prec@5 57.812 (58.541)
Epoch: [50][2310/7045]	Time 0.108 (0.252)	Data 0.056 (0.189)	Loss 2.9586 (3.0431)	Prec@1 28.906 (29.605)	Prec@5 62.109 (58.540)
Epoch: [50][2320/7045]	Time 0.501 (0.252)	Data 0.449 (0.190)	Loss 3.0546 (3.0432)	Prec@1 28.906 (29.608)	Prec@5 57.812 (58.536)
Epoch: [50][2330/7045]	Time 0.226 (0.252)	Data 0.174 (0.190)	Loss 3.1208 (3.0433)	Prec@1 28.906 (29.605)	Prec@5 60.547 (58.536)
Epoch: [50][2340/7045]	Time 0.214 (0.252)	Data 0.163 (0.189)	Loss 2.9947 (3.0433)	Prec@1 28.906 (29.604)	Prec@5 60.547 (58.540)
Epoch: [50][2350/7045]	Time 0.103 (0.252)	Data 0.006 (0.189)	Loss 3.0574 (3.0432)	Prec@1 28.906 (29.605)	Prec@5 59.375 (58.547)
Epoch: [50][2360/7045]	Time 0.474 (0.252)	Data 0.414 (0.190)	Loss 2.8973 (3.0433)	Prec@1 31.641 (29.601)	Prec@5 60.938 (58.544)
Epoch: [50][2370/7045]	Time 0.102 (0.252)	Data 0.001 (0.190)	Loss 3.3170 (3.0435)	Prec@1 23.438 (29.599)	Prec@5 51.562 (58.540)
Epoch: [50][2380/7045]	Time 0.365 (0.252)	Data 0.313 (0.190)	Loss 2.9410 (3.0434)	Prec@1 29.297 (29.604)	Prec@5 58.203 (58.542)
Epoch: [50][2390/7045]	Time 0.102 (0.252)	Data 0.001 (0.189)	Loss 2.9078 (3.0433)	Prec@1 35.156 (29.603)	Prec@5 61.719 (58.544)
Epoch: [50][2400/7045]	Time 0.153 (0.252)	Data 0.100 (0.189)	Loss 2.9242 (3.0430)	Prec@1 31.641 (29.603)	Prec@5 65.625 (58.551)
Epoch: [50][2410/7045]	Time 0.370 (0.252)	Data 0.318 (0.190)	Loss 3.0924 (3.0432)	Prec@1 32.422 (29.605)	Prec@5 60.938 (58.551)
Epoch: [50][2420/7045]	Time 0.140 (0.252)	Data 0.088 (0.189)	Loss 3.0972 (3.0435)	Prec@1 26.953 (29.598)	Prec@5 56.250 (58.540)
Epoch: [50][2430/7045]	Time 0.265 (0.252)	Data 0.214 (0.190)	Loss 3.0040 (3.0432)	Prec@1 27.344 (29.603)	Prec@5 57.422 (58.542)
Epoch: [50][2440/7045]	Time 0.251 (0.252)	Data 0.200 (0.190)	Loss 3.0232 (3.0434)	Prec@1 29.297 (29.599)	Prec@5 59.375 (58.534)
Epoch: [50][2450/7045]	Time 0.249 (0.252)	Data 0.198 (0.190)	Loss 2.9155 (3.0435)	Prec@1 30.469 (29.594)	Prec@5 61.328 (58.533)
Epoch: [50][2460/7045]	Time 0.517 (0.252)	Data 0.465 (0.190)	Loss 3.1562 (3.0435)	Prec@1 24.219 (29.590)	Prec@5 57.812 (58.533)
Epoch: [50][2470/7045]	Time 0.102 (0.252)	Data 0.006 (0.190)	Loss 3.3458 (3.0436)	Prec@1 26.562 (29.590)	Prec@5 49.609 (58.530)
Epoch: [50][2480/7045]	Time 0.487 (0.252)	Data 0.436 (0.190)	Loss 2.8555 (3.0434)	Prec@1 29.297 (29.591)	Prec@5 62.891 (58.532)
Epoch: [50][2490/7045]	Time 0.197 (0.252)	Data 0.147 (0.190)	Loss 3.1612 (3.0438)	Prec@1 26.953 (29.585)	Prec@5 57.422 (58.527)
Epoch: [50][2500/7045]	Time 0.100 (0.252)	Data 0.001 (0.190)	Loss 2.7386 (3.0438)	Prec@1 34.766 (29.584)	Prec@5 67.578 (58.529)
Epoch: [50][2510/7045]	Time 0.366 (0.252)	Data 0.312 (0.190)	Loss 3.0575 (3.0437)	Prec@1 28.906 (29.580)	Prec@5 57.812 (58.529)
Epoch: [50][2520/7045]	Time 0.153 (0.252)	Data 0.102 (0.190)	Loss 3.0043 (3.0438)	Prec@1 31.250 (29.580)	Prec@5 58.984 (58.531)
Epoch: [50][2530/7045]	Time 0.128 (0.252)	Data 0.077 (0.190)	Loss 3.0725 (3.0443)	Prec@1 31.641 (29.576)	Prec@5 53.906 (58.521)
Epoch: [50][2540/7045]	Time 0.116 (0.252)	Data 0.065 (0.190)	Loss 3.0350 (3.0442)	Prec@1 32.812 (29.580)	Prec@5 60.547 (58.522)
Epoch: [50][2550/7045]	Time 0.112 (0.252)	Data 0.060 (0.190)	Loss 2.8863 (3.0441)	Prec@1 29.297 (29.580)	Prec@5 64.062 (58.530)
Epoch: [50][2560/7045]	Time 0.103 (0.252)	Data 0.001 (0.190)	Loss 2.9904 (3.0440)	Prec@1 28.906 (29.581)	Prec@5 62.109 (58.531)
Epoch: [50][2570/7045]	Time 0.207 (0.252)	Data 0.155 (0.190)	Loss 2.9699 (3.0438)	Prec@1 26.953 (29.579)	Prec@5 62.109 (58.536)
Epoch: [50][2580/7045]	Time 0.102 (0.252)	Data 0.001 (0.190)	Loss 3.1710 (3.0440)	Prec@1 28.125 (29.574)	Prec@5 59.766 (58.534)
Epoch: [50][2590/7045]	Time 0.304 (0.252)	Data 0.252 (0.190)	Loss 2.9362 (3.0443)	Prec@1 31.250 (29.569)	Prec@5 57.812 (58.527)
Epoch: [50][2600/7045]	Time 0.103 (0.252)	Data 0.050 (0.190)	Loss 3.1714 (3.0444)	Prec@1 27.344 (29.570)	Prec@5 55.078 (58.525)
Epoch: [50][2610/7045]	Time 0.320 (0.252)	Data 0.267 (0.190)	Loss 3.1170 (3.0446)	Prec@1 28.516 (29.563)	Prec@5 58.594 (58.520)
Epoch: [50][2620/7045]	Time 0.156 (0.252)	Data 0.105 (0.190)	Loss 3.0211 (3.0445)	Prec@1 29.688 (29.563)	Prec@5 57.812 (58.523)
Epoch: [50][2630/7045]	Time 0.329 (0.252)	Data 0.279 (0.190)	Loss 3.2340 (3.0447)	Prec@1 22.656 (29.560)	Prec@5 54.297 (58.522)
Epoch: [50][2640/7045]	Time 0.320 (0.252)	Data 0.270 (0.190)	Loss 3.1402 (3.0446)	Prec@1 28.125 (29.564)	Prec@5 58.984 (58.525)
Epoch: [50][2650/7045]	Time 0.327 (0.252)	Data 0.268 (0.190)	Loss 3.0266 (3.0445)	Prec@1 28.516 (29.564)	Prec@5 59.766 (58.526)
Epoch: [50][2660/7045]	Time 0.321 (0.252)	Data 0.271 (0.190)	Loss 3.0187 (3.0447)	Prec@1 33.594 (29.562)	Prec@5 59.766 (58.522)
Epoch: [50][2670/7045]	Time 0.372 (0.252)	Data 0.315 (0.190)	Loss 2.7764 (3.0447)	Prec@1 33.594 (29.563)	Prec@5 61.719 (58.522)
Epoch: [50][2680/7045]	Time 0.159 (0.252)	Data 0.108 (0.190)	Loss 2.9729 (3.0445)	Prec@1 28.125 (29.564)	Prec@5 60.547 (58.528)
Epoch: [50][2690/7045]	Time 0.348 (0.252)	Data 0.296 (0.190)	Loss 3.3740 (3.0445)	Prec@1 21.875 (29.560)	Prec@5 46.484 (58.530)
Epoch: [50][2700/7045]	Time 0.263 (0.252)	Data 0.207 (0.190)	Loss 2.8779 (3.0445)	Prec@1 32.422 (29.562)	Prec@5 61.328 (58.530)
Epoch: [50][2710/7045]	Time 0.210 (0.252)	Data 0.159 (0.190)	Loss 3.2698 (3.0444)	Prec@1 26.953 (29.562)	Prec@5 51.562 (58.530)
Epoch: [50][2720/7045]	Time 0.388 (0.252)	Data 0.337 (0.190)	Loss 3.0978 (3.0443)	Prec@1 23.438 (29.560)	Prec@5 56.641 (58.532)
Epoch: [50][2730/7045]	Time 0.108 (0.252)	Data 0.054 (0.190)	Loss 3.3093 (3.0443)	Prec@1 26.172 (29.563)	Prec@5 52.734 (58.531)
Epoch: [50][2740/7045]	Time 0.201 (0.252)	Data 0.150 (0.190)	Loss 3.0737 (3.0443)	Prec@1 28.906 (29.567)	Prec@5 54.688 (58.528)
Epoch: [50][2750/7045]	Time 0.103 (0.252)	Data 0.050 (0.190)	Loss 2.9885 (3.0443)	Prec@1 34.766 (29.567)	Prec@5 58.594 (58.526)
Epoch: [50][2760/7045]	Time 0.120 (0.252)	Data 0.068 (0.189)	Loss 3.1501 (3.0444)	Prec@1 25.781 (29.564)	Prec@5 57.422 (58.526)
Epoch: [50][2770/7045]	Time 0.101 (0.252)	Data 0.012 (0.190)	Loss 3.1437 (3.0447)	Prec@1 25.000 (29.555)	Prec@5 60.156 (58.522)
Epoch: [50][2780/7045]	Time 0.453 (0.252)	Data 0.401 (0.190)	Loss 2.9998 (3.0447)	Prec@1 27.734 (29.553)	Prec@5 59.766 (58.518)
Epoch: [50][2790/7045]	Time 0.184 (0.252)	Data 0.126 (0.190)	Loss 2.8887 (3.0444)	Prec@1 33.594 (29.562)	Prec@5 63.672 (58.527)
Epoch: [50][2800/7045]	Time 0.352 (0.252)	Data 0.301 (0.190)	Loss 2.9698 (3.0446)	Prec@1 26.953 (29.561)	Prec@5 58.594 (58.521)
Epoch: [50][2810/7045]	Time 0.102 (0.252)	Data 0.001 (0.190)	Loss 3.2244 (3.0446)	Prec@1 25.000 (29.559)	Prec@5 51.953 (58.517)
Epoch: [50][2820/7045]	Time 0.111 (0.252)	Data 0.059 (0.190)	Loss 3.1047 (3.0445)	Prec@1 30.078 (29.561)	Prec@5 58.203 (58.522)
Epoch: [50][2830/7045]	Time 0.469 (0.252)	Data 0.417 (0.190)	Loss 3.2660 (3.0444)	Prec@1 30.469 (29.561)	Prec@5 57.031 (58.525)
Epoch: [50][2840/7045]	Time 0.211 (0.252)	Data 0.160 (0.190)	Loss 3.0492 (3.0441)	Prec@1 23.828 (29.566)	Prec@5 56.250 (58.532)
Epoch: [50][2850/7045]	Time 0.481 (0.252)	Data 0.424 (0.190)	Loss 3.0827 (3.0443)	Prec@1 30.859 (29.564)	Prec@5 58.203 (58.527)
Epoch: [50][2860/7045]	Time 0.226 (0.252)	Data 0.176 (0.190)	Loss 3.3225 (3.0444)	Prec@1 26.172 (29.560)	Prec@5 52.344 (58.522)
Epoch: [50][2870/7045]	Time 0.379 (0.252)	Data 0.327 (0.190)	Loss 3.0937 (3.0444)	Prec@1 29.688 (29.560)	Prec@5 55.078 (58.520)
Epoch: [50][2880/7045]	Time 0.237 (0.252)	Data 0.185 (0.189)	Loss 2.8563 (3.0445)	Prec@1 30.859 (29.561)	Prec@5 61.328 (58.520)
Epoch: [50][2890/7045]	Time 0.125 (0.252)	Data 0.075 (0.190)	Loss 3.0351 (3.0444)	Prec@1 29.688 (29.559)	Prec@5 60.547 (58.519)
Epoch: [50][2900/7045]	Time 0.101 (0.252)	Data 0.001 (0.189)	Loss 2.9354 (3.0442)	Prec@1 28.125 (29.565)	Prec@5 59.766 (58.523)
Epoch: [50][2910/7045]	Time 0.100 (0.252)	Data 0.045 (0.189)	Loss 3.2611 (3.0442)	Prec@1 23.828 (29.565)	Prec@5 51.172 (58.525)
Epoch: [50][2920/7045]	Time 0.126 (0.252)	Data 0.076 (0.189)	Loss 2.9315 (3.0442)	Prec@1 32.031 (29.567)	Prec@5 62.500 (58.523)
Epoch: [50][2930/7045]	Time 0.102 (0.252)	Data 0.001 (0.189)	Loss 3.1758 (3.0441)	Prec@1 27.344 (29.571)	Prec@5 55.859 (58.522)
Epoch: [50][2940/7045]	Time 0.469 (0.252)	Data 0.410 (0.189)	Loss 3.3867 (3.0442)	Prec@1 25.391 (29.570)	Prec@5 55.859 (58.520)
Epoch: [50][2950/7045]	Time 0.101 (0.251)	Data 0.001 (0.189)	Loss 3.0985 (3.0442)	Prec@1 26.953 (29.570)	Prec@5 57.031 (58.516)
Epoch: [50][2960/7045]	Time 0.575 (0.252)	Data 0.525 (0.189)	Loss 3.1105 (3.0442)	Prec@1 28.516 (29.570)	Prec@5 59.375 (58.517)
Epoch: [50][2970/7045]	Time 0.104 (0.251)	Data 0.051 (0.189)	Loss 3.0349 (3.0443)	Prec@1 29.688 (29.568)	Prec@5 58.203 (58.516)
Epoch: [50][2980/7045]	Time 0.478 (0.251)	Data 0.428 (0.189)	Loss 2.8632 (3.0443)	Prec@1 31.641 (29.566)	Prec@5 66.797 (58.518)
Epoch: [50][2990/7045]	Time 0.116 (0.251)	Data 0.065 (0.189)	Loss 3.1701 (3.0442)	Prec@1 29.688 (29.568)	Prec@5 56.641 (58.519)
Epoch: [50][3000/7045]	Time 0.484 (0.251)	Data 0.432 (0.189)	Loss 3.2156 (3.0444)	Prec@1 25.000 (29.565)	Prec@5 55.859 (58.516)
Epoch: [50][3010/7045]	Time 0.136 (0.251)	Data 0.083 (0.189)	Loss 3.0036 (3.0443)	Prec@1 31.250 (29.566)	Prec@5 57.422 (58.514)
Epoch: [50][3020/7045]	Time 0.405 (0.251)	Data 0.355 (0.189)	Loss 3.1136 (3.0442)	Prec@1 32.031 (29.570)	Prec@5 54.297 (58.516)
Epoch: [50][3030/7045]	Time 0.399 (0.251)	Data 0.347 (0.189)	Loss 3.1331 (3.0443)	Prec@1 25.391 (29.567)	Prec@5 57.422 (58.516)
Epoch: [50][3040/7045]	Time 0.357 (0.251)	Data 0.299 (0.189)	Loss 3.2625 (3.0446)	Prec@1 26.562 (29.563)	Prec@5 57.812 (58.512)
Epoch: [50][3050/7045]	Time 0.433 (0.251)	Data 0.382 (0.189)	Loss 3.3012 (3.0447)	Prec@1 29.297 (29.565)	Prec@5 53.516 (58.512)
Epoch: [50][3060/7045]	Time 0.282 (0.251)	Data 0.230 (0.189)	Loss 3.2799 (3.0448)	Prec@1 23.047 (29.565)	Prec@5 55.078 (58.508)
Epoch: [50][3070/7045]	Time 0.526 (0.251)	Data 0.474 (0.189)	Loss 3.0117 (3.0449)	Prec@1 29.688 (29.564)	Prec@5 58.594 (58.507)
Epoch: [50][3080/7045]	Time 0.218 (0.251)	Data 0.161 (0.189)	Loss 3.2349 (3.0451)	Prec@1 28.516 (29.561)	Prec@5 54.297 (58.504)
Epoch: [50][3090/7045]	Time 0.539 (0.251)	Data 0.483 (0.189)	Loss 3.0268 (3.0450)	Prec@1 29.688 (29.563)	Prec@5 58.594 (58.505)
Epoch: [50][3100/7045]	Time 0.256 (0.251)	Data 0.205 (0.189)	Loss 3.1170 (3.0450)	Prec@1 28.516 (29.564)	Prec@5 59.766 (58.506)
Epoch: [50][3110/7045]	Time 0.346 (0.251)	Data 0.294 (0.189)	Loss 2.9661 (3.0448)	Prec@1 30.078 (29.567)	Prec@5 62.891 (58.513)
Epoch: [50][3120/7045]	Time 0.203 (0.251)	Data 0.152 (0.189)	Loss 3.0709 (3.0448)	Prec@1 30.469 (29.568)	Prec@5 58.203 (58.510)
Epoch: [50][3130/7045]	Time 0.337 (0.251)	Data 0.286 (0.189)	Loss 3.0757 (3.0450)	Prec@1 30.078 (29.567)	Prec@5 54.688 (58.504)
Epoch: [50][3140/7045]	Time 0.102 (0.251)	Data 0.049 (0.189)	Loss 3.2476 (3.0450)	Prec@1 26.562 (29.565)	Prec@5 52.734 (58.501)
Epoch: [50][3150/7045]	Time 0.317 (0.251)	Data 0.266 (0.189)	Loss 3.1216 (3.0451)	Prec@1 27.344 (29.562)	Prec@5 57.422 (58.498)
Epoch: [50][3160/7045]	Time 0.109 (0.251)	Data 0.058 (0.189)	Loss 3.0506 (3.0452)	Prec@1 30.078 (29.562)	Prec@5 59.766 (58.498)
Epoch: [50][3170/7045]	Time 0.266 (0.251)	Data 0.214 (0.189)	Loss 2.8784 (3.0452)	Prec@1 28.516 (29.562)	Prec@5 62.109 (58.496)
Epoch: [50][3180/7045]	Time 0.137 (0.251)	Data 0.087 (0.189)	Loss 3.0337 (3.0451)	Prec@1 33.594 (29.563)	Prec@5 59.375 (58.499)
Epoch: [50][3190/7045]	Time 0.102 (0.251)	Data 0.001 (0.189)	Loss 3.1709 (3.0452)	Prec@1 28.125 (29.563)	Prec@5 53.516 (58.491)
Epoch: [50][3200/7045]	Time 0.504 (0.251)	Data 0.452 (0.189)	Loss 2.9278 (3.0453)	Prec@1 32.031 (29.565)	Prec@5 59.766 (58.487)
Epoch: [50][3210/7045]	Time 0.102 (0.251)	Data 0.001 (0.189)	Loss 2.9059 (3.0453)	Prec@1 35.547 (29.566)	Prec@5 57.812 (58.486)
Epoch: [50][3220/7045]	Time 0.668 (0.251)	Data 0.611 (0.189)	Loss 2.8469 (3.0455)	Prec@1 36.719 (29.566)	Prec@5 65.625 (58.484)
Epoch: [50][3230/7045]	Time 0.111 (0.251)	Data 0.060 (0.189)	Loss 3.1406 (3.0456)	Prec@1 26.562 (29.569)	Prec@5 55.859 (58.485)
Epoch: [50][3240/7045]	Time 0.328 (0.251)	Data 0.277 (0.189)	Loss 3.0422 (3.0457)	Prec@1 29.297 (29.563)	Prec@5 60.156 (58.484)
Epoch: [50][3250/7045]	Time 0.109 (0.251)	Data 0.058 (0.189)	Loss 3.2943 (3.0458)	Prec@1 26.562 (29.565)	Prec@5 53.516 (58.484)
Epoch: [50][3260/7045]	Time 0.349 (0.251)	Data 0.297 (0.189)	Loss 2.8960 (3.0460)	Prec@1 31.250 (29.557)	Prec@5 65.234 (58.482)
Epoch: [50][3270/7045]	Time 0.107 (0.251)	Data 0.055 (0.189)	Loss 3.1240 (3.0461)	Prec@1 28.906 (29.554)	Prec@5 57.812 (58.480)
Epoch: [50][3280/7045]	Time 0.345 (0.251)	Data 0.293 (0.189)	Loss 3.0811 (3.0464)	Prec@1 33.594 (29.553)	Prec@5 60.547 (58.475)
Epoch: [50][3290/7045]	Time 0.350 (0.251)	Data 0.298 (0.189)	Loss 3.0892 (3.0463)	Prec@1 28.516 (29.549)	Prec@5 55.078 (58.474)
Epoch: [50][3300/7045]	Time 0.102 (0.251)	Data 0.001 (0.189)	Loss 3.1316 (3.0464)	Prec@1 25.781 (29.544)	Prec@5 54.297 (58.468)
Epoch: [50][3310/7045]	Time 0.585 (0.251)	Data 0.525 (0.189)	Loss 2.9875 (3.0461)	Prec@1 31.641 (29.550)	Prec@5 61.328 (58.470)
Epoch: [50][3320/7045]	Time 0.102 (0.251)	Data 0.001 (0.189)	Loss 2.9444 (3.0461)	Prec@1 28.906 (29.548)	Prec@5 60.156 (58.473)
Epoch: [50][3330/7045]	Time 0.492 (0.251)	Data 0.442 (0.189)	Loss 3.2588 (3.0462)	Prec@1 22.656 (29.547)	Prec@5 53.516 (58.468)
Epoch: [50][3340/7045]	Time 0.443 (0.251)	Data 0.392 (0.189)	Loss 3.1647 (3.0465)	Prec@1 25.781 (29.540)	Prec@5 60.156 (58.462)
Epoch: [50][3350/7045]	Time 0.301 (0.251)	Data 0.249 (0.188)	Loss 2.9241 (3.0465)	Prec@1 35.547 (29.539)	Prec@5 59.766 (58.461)
Epoch: [50][3360/7045]	Time 0.279 (0.251)	Data 0.228 (0.188)	Loss 2.9528 (3.0465)	Prec@1 30.469 (29.539)	Prec@5 60.156 (58.463)
Epoch: [50][3370/7045]	Time 0.126 (0.251)	Data 0.075 (0.188)	Loss 3.0064 (3.0465)	Prec@1 32.812 (29.539)	Prec@5 57.422 (58.464)
Epoch: [50][3380/7045]	Time 0.284 (0.251)	Data 0.234 (0.188)	Loss 3.1330 (3.0465)	Prec@1 24.219 (29.538)	Prec@5 56.250 (58.467)
Epoch: [50][3390/7045]	Time 0.377 (0.251)	Data 0.325 (0.189)	Loss 3.0572 (3.0464)	Prec@1 33.984 (29.541)	Prec@5 59.766 (58.466)
Epoch: [50][3400/7045]	Time 0.494 (0.251)	Data 0.435 (0.188)	Loss 3.1714 (3.0464)	Prec@1 28.125 (29.540)	Prec@5 55.859 (58.468)
Epoch: [50][3410/7045]	Time 0.165 (0.251)	Data 0.114 (0.188)	Loss 3.1438 (3.0465)	Prec@1 32.031 (29.535)	Prec@5 55.859 (58.465)
Epoch: [50][3420/7045]	Time 0.213 (0.251)	Data 0.155 (0.188)	Loss 3.0589 (3.0465)	Prec@1 32.422 (29.537)	Prec@5 59.766 (58.466)
Epoch: [50][3430/7045]	Time 0.103 (0.251)	Data 0.001 (0.188)	Loss 3.2991 (3.0463)	Prec@1 25.391 (29.540)	Prec@5 50.000 (58.470)
Epoch: [50][3440/7045]	Time 0.103 (0.251)	Data 0.052 (0.188)	Loss 3.0716 (3.0463)	Prec@1 31.641 (29.540)	Prec@5 58.203 (58.470)
Epoch: [50][3450/7045]	Time 0.599 (0.251)	Data 0.547 (0.188)	Loss 3.2775 (3.0465)	Prec@1 23.047 (29.537)	Prec@5 53.516 (58.467)
Epoch: [50][3460/7045]	Time 0.170 (0.251)	Data 0.119 (0.188)	Loss 3.0561 (3.0465)	Prec@1 28.516 (29.535)	Prec@5 59.766 (58.468)
Epoch: [50][3470/7045]	Time 0.271 (0.251)	Data 0.220 (0.188)	Loss 3.1227 (3.0465)	Prec@1 29.297 (29.536)	Prec@5 62.109 (58.471)
Epoch: [50][3480/7045]	Time 0.180 (0.251)	Data 0.128 (0.188)	Loss 3.2465 (3.0465)	Prec@1 26.172 (29.534)	Prec@5 54.688 (58.468)
Epoch: [50][3490/7045]	Time 0.197 (0.251)	Data 0.145 (0.188)	Loss 3.0601 (3.0467)	Prec@1 30.859 (29.535)	Prec@5 59.766 (58.468)
Epoch: [50][3500/7045]	Time 0.103 (0.251)	Data 0.051 (0.188)	Loss 2.8879 (3.0465)	Prec@1 28.516 (29.537)	Prec@5 63.672 (58.474)
Epoch: [50][3510/7045]	Time 0.169 (0.251)	Data 0.118 (0.188)	Loss 2.8418 (3.0465)	Prec@1 30.078 (29.536)	Prec@5 62.109 (58.475)
Epoch: [50][3520/7045]	Time 0.100 (0.251)	Data 0.001 (0.188)	Loss 3.0320 (3.0464)	Prec@1 26.562 (29.537)	Prec@5 62.500 (58.478)
Epoch: [50][3530/7045]	Time 0.164 (0.251)	Data 0.113 (0.188)	Loss 3.0629 (3.0464)	Prec@1 30.859 (29.538)	Prec@5 58.594 (58.478)
Epoch: [50][3540/7045]	Time 0.143 (0.251)	Data 0.092 (0.188)	Loss 3.1972 (3.0464)	Prec@1 26.172 (29.533)	Prec@5 54.297 (58.478)
Epoch: [50][3550/7045]	Time 0.102 (0.251)	Data 0.007 (0.188)	Loss 3.1204 (3.0468)	Prec@1 27.734 (29.528)	Prec@5 53.516 (58.470)
Epoch: [50][3560/7045]	Time 0.167 (0.251)	Data 0.117 (0.188)	Loss 2.8883 (3.0468)	Prec@1 34.766 (29.530)	Prec@5 62.109 (58.468)
Epoch: [50][3570/7045]	Time 0.526 (0.251)	Data 0.468 (0.188)	Loss 3.0475 (3.0469)	Prec@1 28.516 (29.529)	Prec@5 62.891 (58.469)
Epoch: [50][3580/7045]	Time 0.099 (0.251)	Data 0.001 (0.188)	Loss 3.1528 (3.0472)	Prec@1 31.641 (29.525)	Prec@5 55.469 (58.459)
Epoch: [50][3590/7045]	Time 0.358 (0.251)	Data 0.307 (0.188)	Loss 3.2857 (3.0473)	Prec@1 25.781 (29.522)	Prec@5 55.078 (58.461)
Epoch: [50][3600/7045]	Time 0.148 (0.251)	Data 0.096 (0.188)	Loss 2.9297 (3.0473)	Prec@1 30.469 (29.522)	Prec@5 58.203 (58.459)
Epoch: [50][3610/7045]	Time 0.257 (0.251)	Data 0.202 (0.188)	Loss 3.0995 (3.0473)	Prec@1 26.562 (29.523)	Prec@5 54.688 (58.456)
Epoch: [50][3620/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 3.2618 (3.0471)	Prec@1 33.203 (29.531)	Prec@5 50.000 (58.461)
Epoch: [50][3630/7045]	Time 0.432 (0.251)	Data 0.372 (0.188)	Loss 2.9119 (3.0469)	Prec@1 30.469 (29.534)	Prec@5 61.328 (58.467)
Epoch: [50][3640/7045]	Time 0.166 (0.251)	Data 0.114 (0.188)	Loss 2.9851 (3.0467)	Prec@1 26.172 (29.537)	Prec@5 58.203 (58.466)
Epoch: [50][3650/7045]	Time 0.395 (0.251)	Data 0.344 (0.188)	Loss 2.9949 (3.0467)	Prec@1 26.562 (29.535)	Prec@5 58.203 (58.464)
Epoch: [50][3660/7045]	Time 0.303 (0.251)	Data 0.253 (0.188)	Loss 2.7868 (3.0467)	Prec@1 33.984 (29.535)	Prec@5 62.500 (58.463)
Epoch: [50][3670/7045]	Time 0.179 (0.251)	Data 0.127 (0.188)	Loss 3.1701 (3.0468)	Prec@1 28.125 (29.532)	Prec@5 53.516 (58.463)
Epoch: [50][3680/7045]	Time 0.431 (0.251)	Data 0.380 (0.188)	Loss 3.2150 (3.0468)	Prec@1 28.906 (29.532)	Prec@5 57.422 (58.461)
Epoch: [50][3690/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 2.9432 (3.0467)	Prec@1 36.328 (29.533)	Prec@5 60.938 (58.461)
Epoch: [50][3700/7045]	Time 0.505 (0.251)	Data 0.454 (0.188)	Loss 2.9941 (3.0469)	Prec@1 28.516 (29.528)	Prec@5 57.031 (58.457)
Epoch: [50][3710/7045]	Time 0.103 (0.251)	Data 0.051 (0.188)	Loss 3.2573 (3.0469)	Prec@1 32.422 (29.530)	Prec@5 54.297 (58.455)
Epoch: [50][3720/7045]	Time 0.566 (0.251)	Data 0.507 (0.188)	Loss 3.0239 (3.0469)	Prec@1 33.203 (29.532)	Prec@5 56.641 (58.455)
Epoch: [50][3730/7045]	Time 0.396 (0.251)	Data 0.345 (0.188)	Loss 3.2725 (3.0468)	Prec@1 28.906 (29.533)	Prec@5 54.297 (58.457)
Epoch: [50][3740/7045]	Time 0.179 (0.251)	Data 0.120 (0.188)	Loss 3.1466 (3.0467)	Prec@1 30.469 (29.534)	Prec@5 57.812 (58.461)
Epoch: [50][3750/7045]	Time 0.559 (0.251)	Data 0.507 (0.189)	Loss 3.3076 (3.0467)	Prec@1 26.562 (29.535)	Prec@5 52.734 (58.464)
Epoch: [50][3760/7045]	Time 0.109 (0.251)	Data 0.007 (0.188)	Loss 2.8976 (3.0464)	Prec@1 31.641 (29.540)	Prec@5 60.547 (58.471)
Epoch: [50][3770/7045]	Time 0.705 (0.251)	Data 0.646 (0.189)	Loss 3.0257 (3.0465)	Prec@1 27.734 (29.539)	Prec@5 59.375 (58.469)
Epoch: [50][3780/7045]	Time 0.100 (0.251)	Data 0.001 (0.188)	Loss 2.9847 (3.0466)	Prec@1 30.859 (29.538)	Prec@5 58.984 (58.467)
Epoch: [50][3790/7045]	Time 0.568 (0.251)	Data 0.516 (0.188)	Loss 2.7999 (3.0465)	Prec@1 34.375 (29.536)	Prec@5 64.844 (58.469)
Epoch: [50][3800/7045]	Time 0.130 (0.251)	Data 0.080 (0.188)	Loss 3.0646 (3.0465)	Prec@1 28.125 (29.539)	Prec@5 56.641 (58.469)
Epoch: [50][3810/7045]	Time 0.314 (0.251)	Data 0.262 (0.188)	Loss 3.1297 (3.0464)	Prec@1 27.344 (29.539)	Prec@5 58.203 (58.469)
Epoch: [50][3820/7045]	Time 0.345 (0.251)	Data 0.294 (0.188)	Loss 3.0971 (3.0466)	Prec@1 25.781 (29.534)	Prec@5 57.812 (58.464)
Epoch: [50][3830/7045]	Time 0.110 (0.251)	Data 0.048 (0.188)	Loss 3.1407 (3.0467)	Prec@1 27.734 (29.531)	Prec@5 59.375 (58.465)
Epoch: [50][3840/7045]	Time 0.196 (0.251)	Data 0.146 (0.188)	Loss 2.8549 (3.0467)	Prec@1 32.031 (29.533)	Prec@5 60.938 (58.464)
Epoch: [50][3850/7045]	Time 0.101 (0.251)	Data 0.001 (0.188)	Loss 2.9964 (3.0466)	Prec@1 29.688 (29.532)	Prec@5 58.594 (58.463)
Epoch: [50][3860/7045]	Time 0.343 (0.251)	Data 0.293 (0.188)	Loss 2.8590 (3.0466)	Prec@1 31.641 (29.530)	Prec@5 61.719 (58.466)
Epoch: [50][3870/7045]	Time 0.107 (0.251)	Data 0.055 (0.188)	Loss 2.9258 (3.0467)	Prec@1 32.422 (29.529)	Prec@5 60.156 (58.462)
Epoch: [50][3880/7045]	Time 0.486 (0.251)	Data 0.435 (0.188)	Loss 2.9728 (3.0467)	Prec@1 29.297 (29.528)	Prec@5 58.203 (58.461)
Epoch: [50][3890/7045]	Time 0.101 (0.251)	Data 0.046 (0.188)	Loss 3.0091 (3.0466)	Prec@1 27.734 (29.529)	Prec@5 59.766 (58.462)
Epoch: [50][3900/7045]	Time 0.594 (0.251)	Data 0.541 (0.189)	Loss 3.0198 (3.0466)	Prec@1 32.031 (29.533)	Prec@5 58.984 (58.462)
Epoch: [50][3910/7045]	Time 0.101 (0.251)	Data 0.001 (0.188)	Loss 2.9946 (3.0465)	Prec@1 30.078 (29.532)	Prec@5 57.422 (58.463)
Epoch: [50][3920/7045]	Time 0.619 (0.251)	Data 0.569 (0.188)	Loss 3.0114 (3.0465)	Prec@1 31.641 (29.536)	Prec@5 60.156 (58.462)
Epoch: [50][3930/7045]	Time 0.109 (0.251)	Data 0.059 (0.188)	Loss 2.9819 (3.0465)	Prec@1 30.078 (29.535)	Prec@5 60.156 (58.463)
Epoch: [50][3940/7045]	Time 0.572 (0.251)	Data 0.522 (0.188)	Loss 2.9263 (3.0464)	Prec@1 30.078 (29.537)	Prec@5 60.547 (58.465)
Epoch: [50][3950/7045]	Time 0.186 (0.251)	Data 0.128 (0.188)	Loss 3.0713 (3.0464)	Prec@1 30.859 (29.538)	Prec@5 59.766 (58.464)
Epoch: [50][3960/7045]	Time 0.448 (0.251)	Data 0.396 (0.188)	Loss 2.9085 (3.0464)	Prec@1 30.469 (29.540)	Prec@5 62.500 (58.464)
Epoch: [50][3970/7045]	Time 0.289 (0.251)	Data 0.238 (0.188)	Loss 2.9451 (3.0464)	Prec@1 30.469 (29.543)	Prec@5 60.156 (58.466)
Epoch: [50][3980/7045]	Time 0.485 (0.251)	Data 0.435 (0.188)	Loss 3.0742 (3.0465)	Prec@1 27.344 (29.542)	Prec@5 55.469 (58.465)
Epoch: [50][3990/7045]	Time 0.220 (0.251)	Data 0.170 (0.188)	Loss 3.0405 (3.0465)	Prec@1 29.297 (29.542)	Prec@5 58.984 (58.466)
Epoch: [50][4000/7045]	Time 0.299 (0.251)	Data 0.248 (0.188)	Loss 2.8931 (3.0464)	Prec@1 33.984 (29.546)	Prec@5 60.938 (58.469)
Epoch: [50][4010/7045]	Time 0.115 (0.251)	Data 0.063 (0.188)	Loss 3.1767 (3.0466)	Prec@1 28.906 (29.542)	Prec@5 57.422 (58.463)
Epoch: [50][4020/7045]	Time 0.102 (0.251)	Data 0.002 (0.188)	Loss 3.0402 (3.0466)	Prec@1 31.250 (29.540)	Prec@5 57.031 (58.462)
Epoch: [50][4030/7045]	Time 0.102 (0.251)	Data 0.051 (0.188)	Loss 3.1173 (3.0466)	Prec@1 27.734 (29.542)	Prec@5 56.641 (58.463)
Epoch: [50][4040/7045]	Time 0.136 (0.251)	Data 0.084 (0.188)	Loss 3.0725 (3.0465)	Prec@1 33.203 (29.543)	Prec@5 58.984 (58.465)
Epoch: [50][4050/7045]	Time 0.121 (0.251)	Data 0.069 (0.188)	Loss 2.9920 (3.0465)	Prec@1 28.906 (29.544)	Prec@5 60.938 (58.466)
Epoch: [50][4060/7045]	Time 0.121 (0.251)	Data 0.069 (0.188)	Loss 3.3171 (3.0466)	Prec@1 26.953 (29.542)	Prec@5 51.953 (58.464)
Epoch: [50][4070/7045]	Time 0.404 (0.251)	Data 0.353 (0.188)	Loss 3.2612 (3.0466)	Prec@1 26.562 (29.543)	Prec@5 53.125 (58.466)
Epoch: [50][4080/7045]	Time 0.103 (0.251)	Data 0.001 (0.188)	Loss 3.2864 (3.0467)	Prec@1 25.781 (29.542)	Prec@5 53.516 (58.464)
Epoch: [50][4090/7045]	Time 0.619 (0.251)	Data 0.568 (0.188)	Loss 3.2343 (3.0469)	Prec@1 23.438 (29.539)	Prec@5 51.562 (58.462)
Epoch: [50][4100/7045]	Time 0.107 (0.251)	Data 0.008 (0.188)	Loss 3.0942 (3.0472)	Prec@1 28.516 (29.534)	Prec@5 57.812 (58.457)
Epoch: [50][4110/7045]	Time 0.555 (0.251)	Data 0.503 (0.188)	Loss 2.9530 (3.0473)	Prec@1 32.031 (29.530)	Prec@5 60.156 (58.452)
Epoch: [50][4120/7045]	Time 0.112 (0.250)	Data 0.054 (0.188)	Loss 2.8974 (3.0471)	Prec@1 28.125 (29.534)	Prec@5 57.422 (58.457)
Epoch: [50][4130/7045]	Time 0.433 (0.251)	Data 0.382 (0.188)	Loss 3.0564 (3.0470)	Prec@1 30.078 (29.534)	Prec@5 60.938 (58.459)
Epoch: [50][4140/7045]	Time 0.108 (0.250)	Data 0.055 (0.188)	Loss 3.1940 (3.0473)	Prec@1 28.125 (29.529)	Prec@5 58.594 (58.454)
Epoch: [50][4150/7045]	Time 0.116 (0.250)	Data 0.065 (0.188)	Loss 2.9962 (3.0471)	Prec@1 33.984 (29.531)	Prec@5 62.109 (58.459)
Epoch: [50][4160/7045]	Time 0.101 (0.250)	Data 0.049 (0.188)	Loss 2.8252 (3.0469)	Prec@1 30.078 (29.536)	Prec@5 59.766 (58.464)
Epoch: [50][4170/7045]	Time 0.195 (0.250)	Data 0.142 (0.188)	Loss 3.1629 (3.0469)	Prec@1 26.172 (29.537)	Prec@5 58.594 (58.466)
Epoch: [50][4180/7045]	Time 0.201 (0.250)	Data 0.149 (0.188)	Loss 3.1399 (3.0469)	Prec@1 29.688 (29.537)	Prec@5 55.859 (58.464)
Epoch: [50][4190/7045]	Time 0.101 (0.250)	Data 0.045 (0.188)	Loss 2.9465 (3.0467)	Prec@1 28.125 (29.539)	Prec@5 60.547 (58.468)
Epoch: [50][4200/7045]	Time 0.244 (0.250)	Data 0.194 (0.188)	Loss 2.9369 (3.0466)	Prec@1 32.031 (29.541)	Prec@5 58.594 (58.471)
Epoch: [50][4210/7045]	Time 0.107 (0.250)	Data 0.003 (0.188)	Loss 3.0432 (3.0465)	Prec@1 30.859 (29.543)	Prec@5 56.641 (58.472)
Epoch: [50][4220/7045]	Time 0.370 (0.250)	Data 0.320 (0.188)	Loss 3.1695 (3.0467)	Prec@1 26.953 (29.539)	Prec@5 58.984 (58.468)
Epoch: [50][4230/7045]	Time 0.109 (0.250)	Data 0.002 (0.188)	Loss 3.2904 (3.0469)	Prec@1 28.516 (29.536)	Prec@5 53.125 (58.467)
Epoch: [50][4240/7045]	Time 0.397 (0.250)	Data 0.346 (0.188)	Loss 2.8584 (3.0468)	Prec@1 32.031 (29.540)	Prec@5 62.109 (58.469)
Epoch: [50][4250/7045]	Time 0.159 (0.250)	Data 0.107 (0.188)	Loss 3.0438 (3.0468)	Prec@1 30.859 (29.540)	Prec@5 59.375 (58.472)
Epoch: [50][4260/7045]	Time 0.432 (0.250)	Data 0.381 (0.188)	Loss 3.0931 (3.0467)	Prec@1 30.859 (29.541)	Prec@5 53.516 (58.471)
Epoch: [50][4270/7045]	Time 0.106 (0.250)	Data 0.054 (0.188)	Loss 2.7946 (3.0467)	Prec@1 34.766 (29.544)	Prec@5 63.281 (58.470)
Epoch: [50][4280/7045]	Time 0.416 (0.250)	Data 0.365 (0.188)	Loss 2.9357 (3.0467)	Prec@1 29.688 (29.540)	Prec@5 59.375 (58.469)
Epoch: [50][4290/7045]	Time 0.102 (0.250)	Data 0.004 (0.188)	Loss 3.0054 (3.0467)	Prec@1 33.203 (29.538)	Prec@5 61.328 (58.471)
Epoch: [50][4300/7045]	Time 0.372 (0.250)	Data 0.321 (0.188)	Loss 2.9829 (3.0465)	Prec@1 35.547 (29.539)	Prec@5 63.281 (58.476)
Epoch: [50][4310/7045]	Time 0.102 (0.250)	Data 0.004 (0.188)	Loss 2.9232 (3.0465)	Prec@1 30.078 (29.538)	Prec@5 62.109 (58.475)
Epoch: [50][4320/7045]	Time 0.522 (0.250)	Data 0.470 (0.188)	Loss 2.9102 (3.0465)	Prec@1 31.641 (29.541)	Prec@5 66.016 (58.477)
Epoch: [50][4330/7045]	Time 0.103 (0.250)	Data 0.009 (0.188)	Loss 3.1157 (3.0464)	Prec@1 29.688 (29.544)	Prec@5 57.031 (58.479)
Epoch: [50][4340/7045]	Time 0.496 (0.250)	Data 0.444 (0.188)	Loss 3.1120 (3.0464)	Prec@1 28.906 (29.544)	Prec@5 58.594 (58.479)
Epoch: [50][4350/7045]	Time 0.101 (0.250)	Data 0.001 (0.188)	Loss 2.9982 (3.0463)	Prec@1 30.078 (29.544)	Prec@5 62.891 (58.480)
Epoch: [50][4360/7045]	Time 0.468 (0.250)	Data 0.417 (0.188)	Loss 3.2703 (3.0464)	Prec@1 25.000 (29.544)	Prec@5 55.078 (58.481)
Epoch: [50][4370/7045]	Time 0.107 (0.250)	Data 0.056 (0.188)	Loss 2.9221 (3.0465)	Prec@1 35.547 (29.545)	Prec@5 58.203 (58.477)
Epoch: [50][4380/7045]	Time 0.417 (0.250)	Data 0.366 (0.188)	Loss 2.8373 (3.0465)	Prec@1 35.547 (29.546)	Prec@5 63.281 (58.475)
Epoch: [50][4390/7045]	Time 0.103 (0.250)	Data 0.051 (0.188)	Loss 3.2788 (3.0466)	Prec@1 26.172 (29.546)	Prec@5 53.906 (58.471)
Epoch: [50][4400/7045]	Time 0.347 (0.250)	Data 0.290 (0.188)	Loss 3.2269 (3.0467)	Prec@1 28.516 (29.544)	Prec@5 57.031 (58.470)
Epoch: [50][4410/7045]	Time 0.213 (0.250)	Data 0.162 (0.188)	Loss 3.0935 (3.0467)	Prec@1 32.031 (29.544)	Prec@5 55.078 (58.471)
Epoch: [50][4420/7045]	Time 0.288 (0.250)	Data 0.231 (0.188)	Loss 3.1095 (3.0466)	Prec@1 25.781 (29.546)	Prec@5 56.250 (58.472)
Epoch: [50][4430/7045]	Time 0.340 (0.250)	Data 0.289 (0.188)	Loss 3.0547 (3.0465)	Prec@1 27.344 (29.544)	Prec@5 57.422 (58.474)
Epoch: [50][4440/7045]	Time 0.196 (0.250)	Data 0.144 (0.188)	Loss 2.7090 (3.0464)	Prec@1 35.938 (29.544)	Prec@5 64.844 (58.476)
Epoch: [50][4450/7045]	Time 0.228 (0.250)	Data 0.178 (0.188)	Loss 2.9946 (3.0465)	Prec@1 29.297 (29.542)	Prec@5 58.203 (58.476)
Epoch: [50][4460/7045]	Time 0.100 (0.250)	Data 0.005 (0.188)	Loss 3.0092 (3.0465)	Prec@1 29.297 (29.541)	Prec@5 60.547 (58.475)
Epoch: [50][4470/7045]	Time 0.214 (0.250)	Data 0.164 (0.188)	Loss 2.8176 (3.0464)	Prec@1 33.984 (29.543)	Prec@5 62.109 (58.477)
Epoch: [50][4480/7045]	Time 0.102 (0.250)	Data 0.045 (0.187)	Loss 3.1213 (3.0465)	Prec@1 26.953 (29.541)	Prec@5 55.078 (58.473)
Epoch: [50][4490/7045]	Time 0.180 (0.250)	Data 0.128 (0.188)	Loss 3.1219 (3.0467)	Prec@1 25.391 (29.540)	Prec@5 54.688 (58.471)
Epoch: [50][4500/7045]	Time 0.103 (0.250)	Data 0.001 (0.187)	Loss 2.9335 (3.0464)	Prec@1 33.203 (29.544)	Prec@5 62.500 (58.479)
Epoch: [50][4510/7045]	Time 0.158 (0.250)	Data 0.107 (0.187)	Loss 2.8506 (3.0463)	Prec@1 33.594 (29.546)	Prec@5 60.547 (58.481)
Epoch: [50][4520/7045]	Time 0.102 (0.250)	Data 0.004 (0.187)	Loss 2.9448 (3.0462)	Prec@1 29.297 (29.545)	Prec@5 58.984 (58.483)
Epoch: [50][4530/7045]	Time 0.151 (0.250)	Data 0.099 (0.187)	Loss 3.1652 (3.0463)	Prec@1 29.688 (29.546)	Prec@5 56.250 (58.482)
Epoch: [50][4540/7045]	Time 0.102 (0.250)	Data 0.006 (0.187)	Loss 3.0736 (3.0463)	Prec@1 28.125 (29.543)	Prec@5 57.422 (58.482)
Epoch: [50][4550/7045]	Time 0.109 (0.250)	Data 0.001 (0.187)	Loss 3.0481 (3.0463)	Prec@1 25.781 (29.542)	Prec@5 58.594 (58.483)
Epoch: [50][4560/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 2.9388 (3.0463)	Prec@1 30.859 (29.545)	Prec@5 61.719 (58.482)
Epoch: [50][4570/7045]	Time 0.101 (0.250)	Data 0.003 (0.187)	Loss 3.1999 (3.0463)	Prec@1 28.125 (29.547)	Prec@5 56.250 (58.481)
Epoch: [50][4580/7045]	Time 0.103 (0.250)	Data 0.001 (0.187)	Loss 3.1899 (3.0463)	Prec@1 24.609 (29.545)	Prec@5 55.469 (58.480)
Epoch: [50][4590/7045]	Time 0.110 (0.250)	Data 0.050 (0.187)	Loss 2.9347 (3.0463)	Prec@1 29.688 (29.545)	Prec@5 60.938 (58.483)
Epoch: [50][4600/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 3.1452 (3.0465)	Prec@1 29.297 (29.542)	Prec@5 56.641 (58.479)
Epoch: [50][4610/7045]	Time 0.207 (0.250)	Data 0.156 (0.187)	Loss 2.8343 (3.0466)	Prec@1 32.031 (29.543)	Prec@5 60.547 (58.477)
Epoch: [50][4620/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 2.9954 (3.0465)	Prec@1 31.250 (29.546)	Prec@5 58.984 (58.477)
Epoch: [50][4630/7045]	Time 0.267 (0.250)	Data 0.215 (0.187)	Loss 3.0040 (3.0465)	Prec@1 31.250 (29.547)	Prec@5 57.422 (58.475)
Epoch: [50][4640/7045]	Time 0.110 (0.249)	Data 0.057 (0.187)	Loss 2.8991 (3.0464)	Prec@1 34.375 (29.549)	Prec@5 62.500 (58.475)
Epoch: [50][4650/7045]	Time 0.124 (0.250)	Data 0.073 (0.187)	Loss 3.1061 (3.0466)	Prec@1 26.953 (29.545)	Prec@5 55.859 (58.469)
Epoch: [50][4660/7045]	Time 0.102 (0.249)	Data 0.001 (0.187)	Loss 2.9404 (3.0467)	Prec@1 31.641 (29.543)	Prec@5 58.984 (58.470)
Epoch: [50][4670/7045]	Time 0.106 (0.250)	Data 0.054 (0.187)	Loss 3.0086 (3.0467)	Prec@1 32.422 (29.543)	Prec@5 60.547 (58.470)
Epoch: [50][4680/7045]	Time 0.102 (0.249)	Data 0.001 (0.187)	Loss 3.0606 (3.0468)	Prec@1 28.516 (29.542)	Prec@5 56.250 (58.467)
Epoch: [50][4690/7045]	Time 0.195 (0.249)	Data 0.134 (0.187)	Loss 3.0278 (3.0468)	Prec@1 30.469 (29.542)	Prec@5 57.422 (58.468)
Epoch: [50][4700/7045]	Time 0.102 (0.249)	Data 0.049 (0.187)	Loss 2.8978 (3.0467)	Prec@1 33.203 (29.544)	Prec@5 63.281 (58.473)
Epoch: [50][4710/7045]	Time 0.186 (0.249)	Data 0.129 (0.187)	Loss 3.0241 (3.0467)	Prec@1 28.906 (29.541)	Prec@5 61.328 (58.472)
Epoch: [50][4720/7045]	Time 0.191 (0.249)	Data 0.140 (0.187)	Loss 3.1195 (3.0468)	Prec@1 26.562 (29.540)	Prec@5 54.688 (58.467)
Epoch: [50][4730/7045]	Time 0.101 (0.249)	Data 0.009 (0.187)	Loss 2.9556 (3.0469)	Prec@1 31.641 (29.540)	Prec@5 60.938 (58.464)
Epoch: [50][4740/7045]	Time 0.248 (0.249)	Data 0.196 (0.187)	Loss 2.9913 (3.0468)	Prec@1 29.297 (29.544)	Prec@5 58.203 (58.467)
Epoch: [50][4750/7045]	Time 0.180 (0.249)	Data 0.130 (0.187)	Loss 3.0522 (3.0467)	Prec@1 32.031 (29.545)	Prec@5 58.984 (58.469)
Epoch: [50][4760/7045]	Time 0.390 (0.249)	Data 0.332 (0.187)	Loss 2.9699 (3.0466)	Prec@1 30.469 (29.548)	Prec@5 58.984 (58.468)
Epoch: [50][4770/7045]	Time 0.123 (0.249)	Data 0.072 (0.187)	Loss 3.1634 (3.0467)	Prec@1 28.906 (29.547)	Prec@5 58.594 (58.468)
Epoch: [50][4780/7045]	Time 0.513 (0.249)	Data 0.461 (0.187)	Loss 3.1611 (3.0467)	Prec@1 28.125 (29.545)	Prec@5 56.250 (58.466)
Epoch: [50][4790/7045]	Time 0.102 (0.249)	Data 0.001 (0.187)	Loss 2.7985 (3.0466)	Prec@1 37.500 (29.551)	Prec@5 65.625 (58.468)
Epoch: [50][4800/7045]	Time 0.513 (0.249)	Data 0.462 (0.187)	Loss 2.8417 (3.0467)	Prec@1 36.328 (29.549)	Prec@5 58.203 (58.463)
Epoch: [50][4810/7045]	Time 0.143 (0.249)	Data 0.092 (0.187)	Loss 2.8529 (3.0465)	Prec@1 34.375 (29.551)	Prec@5 60.156 (58.465)
Epoch: [50][4820/7045]	Time 0.490 (0.249)	Data 0.439 (0.187)	Loss 2.9558 (3.0466)	Prec@1 33.984 (29.551)	Prec@5 57.812 (58.465)
Epoch: [50][4830/7045]	Time 0.323 (0.249)	Data 0.272 (0.187)	Loss 3.1532 (3.0466)	Prec@1 28.516 (29.549)	Prec@5 55.469 (58.463)
Epoch: [50][4840/7045]	Time 0.542 (0.249)	Data 0.491 (0.187)	Loss 3.2399 (3.0465)	Prec@1 25.000 (29.549)	Prec@5 55.859 (58.463)
Epoch: [50][4850/7045]	Time 0.295 (0.249)	Data 0.243 (0.187)	Loss 3.0493 (3.0465)	Prec@1 27.734 (29.548)	Prec@5 53.906 (58.461)
Epoch: [50][4860/7045]	Time 0.387 (0.249)	Data 0.337 (0.187)	Loss 3.1615 (3.0466)	Prec@1 32.422 (29.548)	Prec@5 56.641 (58.461)
Epoch: [50][4870/7045]	Time 0.365 (0.249)	Data 0.306 (0.187)	Loss 3.1228 (3.0467)	Prec@1 30.859 (29.546)	Prec@5 58.984 (58.460)
Epoch: [50][4880/7045]	Time 0.436 (0.249)	Data 0.384 (0.187)	Loss 3.0089 (3.0467)	Prec@1 28.906 (29.546)	Prec@5 58.594 (58.462)
Epoch: [50][4890/7045]	Time 0.316 (0.249)	Data 0.264 (0.187)	Loss 2.9050 (3.0466)	Prec@1 31.641 (29.547)	Prec@5 62.891 (58.465)
Epoch: [50][4900/7045]	Time 0.360 (0.249)	Data 0.307 (0.187)	Loss 3.2364 (3.0467)	Prec@1 26.562 (29.546)	Prec@5 58.594 (58.467)
Epoch: [50][4910/7045]	Time 0.397 (0.249)	Data 0.345 (0.187)	Loss 3.0793 (3.0468)	Prec@1 27.734 (29.546)	Prec@5 55.859 (58.465)
Epoch: [50][4920/7045]	Time 0.208 (0.249)	Data 0.150 (0.187)	Loss 3.3033 (3.0469)	Prec@1 24.609 (29.544)	Prec@5 52.344 (58.463)
Epoch: [50][4930/7045]	Time 0.405 (0.249)	Data 0.355 (0.187)	Loss 3.0297 (3.0469)	Prec@1 32.812 (29.546)	Prec@5 58.203 (58.463)
Epoch: [50][4940/7045]	Time 0.203 (0.249)	Data 0.151 (0.187)	Loss 3.1644 (3.0470)	Prec@1 28.125 (29.544)	Prec@5 57.812 (58.462)
Epoch: [50][4950/7045]	Time 0.288 (0.249)	Data 0.238 (0.187)	Loss 3.0094 (3.0471)	Prec@1 29.688 (29.544)	Prec@5 58.984 (58.462)
Epoch: [50][4960/7045]	Time 0.268 (0.249)	Data 0.217 (0.187)	Loss 2.9922 (3.0470)	Prec@1 31.641 (29.544)	Prec@5 55.469 (58.463)
Epoch: [50][4970/7045]	Time 0.187 (0.249)	Data 0.137 (0.187)	Loss 2.9595 (3.0470)	Prec@1 32.812 (29.544)	Prec@5 57.812 (58.465)
Epoch: [50][4980/7045]	Time 0.194 (0.249)	Data 0.143 (0.187)	Loss 2.7783 (3.0469)	Prec@1 32.031 (29.545)	Prec@5 62.500 (58.464)
Epoch: [50][4990/7045]	Time 0.103 (0.249)	Data 0.006 (0.187)	Loss 3.0048 (3.0468)	Prec@1 30.859 (29.546)	Prec@5 63.281 (58.467)
Epoch: [50][5000/7045]	Time 0.177 (0.249)	Data 0.126 (0.187)	Loss 3.2414 (3.0468)	Prec@1 19.922 (29.546)	Prec@5 55.078 (58.467)
Epoch: [50][5010/7045]	Time 0.113 (0.249)	Data 0.061 (0.187)	Loss 3.0740 (3.0468)	Prec@1 28.516 (29.546)	Prec@5 57.031 (58.466)
Epoch: [50][5020/7045]	Time 0.261 (0.249)	Data 0.210 (0.187)	Loss 3.1811 (3.0468)	Prec@1 24.219 (29.546)	Prec@5 58.203 (58.466)
Epoch: [50][5030/7045]	Time 0.223 (0.249)	Data 0.171 (0.187)	Loss 3.1112 (3.0467)	Prec@1 27.734 (29.545)	Prec@5 60.156 (58.465)
Epoch: [50][5040/7045]	Time 0.211 (0.249)	Data 0.160 (0.187)	Loss 2.9969 (3.0468)	Prec@1 30.859 (29.546)	Prec@5 60.156 (58.464)
Epoch: [50][5050/7045]	Time 0.266 (0.249)	Data 0.214 (0.187)	Loss 2.9693 (3.0467)	Prec@1 30.078 (29.549)	Prec@5 59.375 (58.467)
Epoch: [50][5060/7045]	Time 0.200 (0.249)	Data 0.149 (0.187)	Loss 3.0063 (3.0467)	Prec@1 29.688 (29.551)	Prec@5 60.938 (58.466)
Epoch: [50][5070/7045]	Time 0.369 (0.249)	Data 0.318 (0.187)	Loss 3.1407 (3.0466)	Prec@1 25.781 (29.550)	Prec@5 54.688 (58.466)
Epoch: [50][5080/7045]	Time 0.103 (0.249)	Data 0.007 (0.187)	Loss 3.3883 (3.0467)	Prec@1 27.344 (29.546)	Prec@5 50.000 (58.465)
Epoch: [50][5090/7045]	Time 0.501 (0.249)	Data 0.450 (0.187)	Loss 3.0159 (3.0467)	Prec@1 32.812 (29.550)	Prec@5 57.422 (58.466)
Epoch: [50][5100/7045]	Time 0.102 (0.249)	Data 0.006 (0.187)	Loss 2.9561 (3.0466)	Prec@1 31.641 (29.553)	Prec@5 60.938 (58.469)
Epoch: [50][5110/7045]	Time 0.552 (0.249)	Data 0.500 (0.187)	Loss 2.7324 (3.0465)	Prec@1 37.500 (29.555)	Prec@5 67.578 (58.472)
Epoch: [50][5120/7045]	Time 0.102 (0.249)	Data 0.002 (0.187)	Loss 3.0000 (3.0466)	Prec@1 31.250 (29.554)	Prec@5 60.547 (58.471)
Epoch: [50][5130/7045]	Time 0.627 (0.249)	Data 0.577 (0.187)	Loss 3.2118 (3.0466)	Prec@1 26.953 (29.554)	Prec@5 53.906 (58.469)
Epoch: [50][5140/7045]	Time 0.101 (0.249)	Data 0.001 (0.187)	Loss 3.2389 (3.0467)	Prec@1 26.172 (29.553)	Prec@5 58.984 (58.468)
Epoch: [50][5150/7045]	Time 0.583 (0.249)	Data 0.531 (0.187)	Loss 2.8771 (3.0468)	Prec@1 32.812 (29.550)	Prec@5 60.156 (58.467)
Epoch: [50][5160/7045]	Time 0.102 (0.249)	Data 0.001 (0.186)	Loss 3.2083 (3.0468)	Prec@1 24.609 (29.548)	Prec@5 56.250 (58.465)
Epoch: [50][5170/7045]	Time 0.642 (0.249)	Data 0.590 (0.186)	Loss 2.7366 (3.0467)	Prec@1 35.156 (29.548)	Prec@5 66.406 (58.471)
Epoch: [50][5180/7045]	Time 0.100 (0.249)	Data 0.001 (0.186)	Loss 3.1065 (3.0467)	Prec@1 32.031 (29.549)	Prec@5 57.422 (58.473)
Epoch: [50][5190/7045]	Time 0.653 (0.249)	Data 0.602 (0.186)	Loss 3.1018 (3.0467)	Prec@1 30.469 (29.549)	Prec@5 56.250 (58.472)
Epoch: [50][5200/7045]	Time 0.101 (0.249)	Data 0.045 (0.186)	Loss 3.2128 (3.0468)	Prec@1 27.344 (29.545)	Prec@5 51.953 (58.469)
Epoch: [50][5210/7045]	Time 0.539 (0.249)	Data 0.487 (0.186)	Loss 3.0985 (3.0468)	Prec@1 28.906 (29.546)	Prec@5 56.250 (58.470)
Epoch: [50][5220/7045]	Time 0.102 (0.249)	Data 0.001 (0.186)	Loss 3.2521 (3.0468)	Prec@1 28.906 (29.546)	Prec@5 56.641 (58.470)
Epoch: [50][5230/7045]	Time 0.701 (0.249)	Data 0.650 (0.186)	Loss 3.2067 (3.0467)	Prec@1 27.344 (29.548)	Prec@5 52.344 (58.468)
Epoch: [50][5240/7045]	Time 0.110 (0.249)	Data 0.001 (0.186)	Loss 3.0934 (3.0467)	Prec@1 29.297 (29.550)	Prec@5 60.547 (58.469)
Epoch: [50][5250/7045]	Time 0.627 (0.249)	Data 0.574 (0.186)	Loss 3.0516 (3.0468)	Prec@1 27.734 (29.547)	Prec@5 61.328 (58.467)
Epoch: [50][5260/7045]	Time 0.108 (0.249)	Data 0.009 (0.186)	Loss 3.1125 (3.0467)	Prec@1 26.953 (29.545)	Prec@5 58.203 (58.470)
Epoch: [50][5270/7045]	Time 0.644 (0.249)	Data 0.586 (0.186)	Loss 2.9716 (3.0468)	Prec@1 30.859 (29.544)	Prec@5 61.328 (58.468)
Epoch: [50][5280/7045]	Time 0.195 (0.249)	Data 0.144 (0.186)	Loss 2.9662 (3.0469)	Prec@1 30.469 (29.542)	Prec@5 61.719 (58.468)
Epoch: [50][5290/7045]	Time 0.590 (0.249)	Data 0.539 (0.186)	Loss 3.0441 (3.0469)	Prec@1 30.469 (29.541)	Prec@5 57.812 (58.470)
Epoch: [50][5300/7045]	Time 0.173 (0.249)	Data 0.117 (0.186)	Loss 3.0012 (3.0469)	Prec@1 32.031 (29.540)	Prec@5 62.109 (58.471)
Epoch: [50][5310/7045]	Time 0.368 (0.249)	Data 0.316 (0.186)	Loss 3.2338 (3.0470)	Prec@1 26.562 (29.538)	Prec@5 53.125 (58.468)
Epoch: [50][5320/7045]	Time 0.219 (0.249)	Data 0.167 (0.186)	Loss 2.9901 (3.0470)	Prec@1 28.906 (29.537)	Prec@5 63.672 (58.469)
Epoch: [50][5330/7045]	Time 0.359 (0.249)	Data 0.309 (0.186)	Loss 3.1599 (3.0471)	Prec@1 26.953 (29.536)	Prec@5 57.812 (58.468)
Epoch: [50][5340/7045]	Time 0.171 (0.249)	Data 0.113 (0.186)	Loss 3.0032 (3.0471)	Prec@1 28.906 (29.535)	Prec@5 60.938 (58.467)
Epoch: [50][5350/7045]	Time 0.333 (0.249)	Data 0.283 (0.186)	Loss 3.1567 (3.0471)	Prec@1 25.391 (29.532)	Prec@5 53.516 (58.465)
Epoch: [50][5360/7045]	Time 0.110 (0.248)	Data 0.058 (0.186)	Loss 3.0356 (3.0472)	Prec@1 31.641 (29.532)	Prec@5 54.688 (58.462)
Epoch: [50][5370/7045]	Time 0.309 (0.248)	Data 0.260 (0.186)	Loss 3.0816 (3.0472)	Prec@1 32.422 (29.532)	Prec@5 60.547 (58.460)
Epoch: [50][5380/7045]	Time 0.157 (0.248)	Data 0.105 (0.186)	Loss 3.0398 (3.0472)	Prec@1 32.422 (29.531)	Prec@5 59.766 (58.459)
Epoch: [50][5390/7045]	Time 0.325 (0.248)	Data 0.268 (0.186)	Loss 2.7970 (3.0472)	Prec@1 35.156 (29.529)	Prec@5 66.797 (58.461)
Epoch: [50][5400/7045]	Time 0.182 (0.248)	Data 0.125 (0.186)	Loss 3.1261 (3.0473)	Prec@1 30.078 (29.528)	Prec@5 54.688 (58.460)
Epoch: [50][5410/7045]	Time 0.350 (0.248)	Data 0.298 (0.186)	Loss 2.9737 (3.0473)	Prec@1 30.469 (29.529)	Prec@5 60.156 (58.461)
Epoch: [50][5420/7045]	Time 0.186 (0.248)	Data 0.135 (0.186)	Loss 3.0399 (3.0473)	Prec@1 33.984 (29.531)	Prec@5 57.031 (58.460)
Epoch: [50][5430/7045]	Time 0.272 (0.248)	Data 0.222 (0.186)	Loss 3.0354 (3.0472)	Prec@1 32.031 (29.534)	Prec@5 58.203 (58.463)
Epoch: [50][5440/7045]	Time 0.250 (0.248)	Data 0.198 (0.186)	Loss 3.1172 (3.0474)	Prec@1 27.344 (29.532)	Prec@5 53.906 (58.459)
Epoch: [50][5450/7045]	Time 0.166 (0.248)	Data 0.114 (0.186)	Loss 2.9481 (3.0474)	Prec@1 32.812 (29.533)	Prec@5 58.984 (58.458)
Epoch: [50][5460/7045]	Time 0.227 (0.248)	Data 0.176 (0.186)	Loss 3.1707 (3.0474)	Prec@1 28.125 (29.534)	Prec@5 54.297 (58.455)
Epoch: [50][5470/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 3.0968 (3.0474)	Prec@1 30.469 (29.534)	Prec@5 57.812 (58.455)
Epoch: [50][5480/7045]	Time 0.285 (0.248)	Data 0.233 (0.186)	Loss 2.8613 (3.0474)	Prec@1 35.938 (29.535)	Prec@5 64.453 (58.457)
Epoch: [50][5490/7045]	Time 0.101 (0.248)	Data 0.002 (0.186)	Loss 3.0665 (3.0473)	Prec@1 26.172 (29.534)	Prec@5 61.719 (58.458)
Epoch: [50][5500/7045]	Time 0.311 (0.248)	Data 0.255 (0.186)	Loss 3.1749 (3.0474)	Prec@1 26.562 (29.534)	Prec@5 56.641 (58.458)
Epoch: [50][5510/7045]	Time 0.103 (0.248)	Data 0.001 (0.186)	Loss 3.0781 (3.0473)	Prec@1 33.203 (29.536)	Prec@5 55.078 (58.458)
Epoch: [50][5520/7045]	Time 0.208 (0.248)	Data 0.156 (0.186)	Loss 3.0334 (3.0474)	Prec@1 28.516 (29.535)	Prec@5 59.375 (58.457)
Epoch: [50][5530/7045]	Time 0.199 (0.248)	Data 0.147 (0.186)	Loss 3.1692 (3.0473)	Prec@1 25.781 (29.536)	Prec@5 53.516 (58.458)
Epoch: [50][5540/7045]	Time 0.161 (0.248)	Data 0.110 (0.186)	Loss 3.2157 (3.0475)	Prec@1 28.125 (29.532)	Prec@5 58.203 (58.454)
Epoch: [50][5550/7045]	Time 0.266 (0.248)	Data 0.215 (0.186)	Loss 3.2555 (3.0475)	Prec@1 26.562 (29.532)	Prec@5 55.859 (58.455)
Epoch: [50][5560/7045]	Time 0.169 (0.248)	Data 0.118 (0.186)	Loss 3.2309 (3.0474)	Prec@1 25.000 (29.533)	Prec@5 51.172 (58.455)
Epoch: [50][5570/7045]	Time 0.177 (0.248)	Data 0.128 (0.186)	Loss 3.0550 (3.0474)	Prec@1 33.203 (29.532)	Prec@5 59.766 (58.457)
Epoch: [50][5580/7045]	Time 0.138 (0.248)	Data 0.082 (0.186)	Loss 3.0831 (3.0473)	Prec@1 32.422 (29.533)	Prec@5 56.641 (58.460)
Epoch: [50][5590/7045]	Time 0.372 (0.248)	Data 0.320 (0.186)	Loss 3.1757 (3.0474)	Prec@1 28.906 (29.534)	Prec@5 55.469 (58.459)
Epoch: [50][5600/7045]	Time 0.150 (0.248)	Data 0.099 (0.186)	Loss 3.0623 (3.0474)	Prec@1 26.953 (29.534)	Prec@5 62.500 (58.459)
Epoch: [50][5610/7045]	Time 0.308 (0.248)	Data 0.257 (0.186)	Loss 2.8481 (3.0474)	Prec@1 34.375 (29.534)	Prec@5 60.938 (58.458)
Epoch: [50][5620/7045]	Time 0.100 (0.248)	Data 0.046 (0.186)	Loss 2.9468 (3.0475)	Prec@1 32.031 (29.534)	Prec@5 58.203 (58.454)
Epoch: [50][5630/7045]	Time 0.268 (0.248)	Data 0.215 (0.186)	Loss 3.1300 (3.0475)	Prec@1 30.469 (29.536)	Prec@5 59.375 (58.456)
Epoch: [50][5640/7045]	Time 0.101 (0.248)	Data 0.009 (0.186)	Loss 3.0022 (3.0476)	Prec@1 33.203 (29.536)	Prec@5 57.422 (58.453)
Epoch: [50][5650/7045]	Time 0.375 (0.248)	Data 0.324 (0.186)	Loss 3.1424 (3.0476)	Prec@1 27.344 (29.536)	Prec@5 58.203 (58.453)
Epoch: [50][5660/7045]	Time 0.101 (0.248)	Data 0.006 (0.186)	Loss 3.2064 (3.0476)	Prec@1 29.688 (29.539)	Prec@5 55.469 (58.452)
Epoch: [50][5670/7045]	Time 0.325 (0.248)	Data 0.272 (0.186)	Loss 3.2157 (3.0477)	Prec@1 26.172 (29.538)	Prec@5 56.250 (58.450)
Epoch: [50][5680/7045]	Time 0.156 (0.248)	Data 0.105 (0.186)	Loss 2.9794 (3.0477)	Prec@1 29.688 (29.537)	Prec@5 60.547 (58.451)
Epoch: [50][5690/7045]	Time 0.325 (0.248)	Data 0.268 (0.186)	Loss 2.9482 (3.0476)	Prec@1 29.688 (29.538)	Prec@5 57.031 (58.451)
Epoch: [50][5700/7045]	Time 0.146 (0.248)	Data 0.095 (0.186)	Loss 3.1351 (3.0477)	Prec@1 32.031 (29.537)	Prec@5 57.422 (58.450)
Epoch: [50][5710/7045]	Time 0.373 (0.248)	Data 0.322 (0.186)	Loss 3.2900 (3.0479)	Prec@1 28.906 (29.534)	Prec@5 54.297 (58.446)
Epoch: [50][5720/7045]	Time 0.209 (0.248)	Data 0.158 (0.186)	Loss 3.0054 (3.0479)	Prec@1 34.375 (29.535)	Prec@5 59.766 (58.446)
Epoch: [50][5730/7045]	Time 0.233 (0.248)	Data 0.176 (0.186)	Loss 3.0577 (3.0480)	Prec@1 29.297 (29.534)	Prec@5 57.031 (58.443)
Epoch: [50][5740/7045]	Time 0.296 (0.248)	Data 0.246 (0.186)	Loss 2.9503 (3.0480)	Prec@1 31.641 (29.532)	Prec@5 60.156 (58.441)
Epoch: [50][5750/7045]	Time 0.213 (0.248)	Data 0.161 (0.186)	Loss 2.8219 (3.0479)	Prec@1 33.594 (29.535)	Prec@5 62.891 (58.444)
Epoch: [50][5760/7045]	Time 0.208 (0.248)	Data 0.156 (0.186)	Loss 3.0868 (3.0480)	Prec@1 26.562 (29.532)	Prec@5 56.641 (58.440)
Epoch: [50][5770/7045]	Time 0.128 (0.248)	Data 0.076 (0.186)	Loss 2.7886 (3.0480)	Prec@1 33.984 (29.531)	Prec@5 62.500 (58.440)
Epoch: [50][5780/7045]	Time 0.296 (0.248)	Data 0.245 (0.186)	Loss 3.0768 (3.0479)	Prec@1 23.828 (29.531)	Prec@5 58.594 (58.443)
Epoch: [50][5790/7045]	Time 0.101 (0.248)	Data 0.046 (0.186)	Loss 3.2427 (3.0480)	Prec@1 22.656 (29.529)	Prec@5 56.250 (58.441)
Epoch: [50][5800/7045]	Time 0.184 (0.248)	Data 0.133 (0.186)	Loss 2.9833 (3.0481)	Prec@1 30.469 (29.527)	Prec@5 58.203 (58.440)
Epoch: [50][5810/7045]	Time 0.100 (0.248)	Data 0.007 (0.186)	Loss 2.9310 (3.0479)	Prec@1 34.375 (29.531)	Prec@5 58.203 (58.442)
Epoch: [50][5820/7045]	Time 0.373 (0.248)	Data 0.315 (0.186)	Loss 2.9534 (3.0479)	Prec@1 30.078 (29.532)	Prec@5 60.547 (58.442)
Epoch: [50][5830/7045]	Time 0.112 (0.248)	Data 0.060 (0.186)	Loss 3.1466 (3.0480)	Prec@1 31.250 (29.532)	Prec@5 56.641 (58.441)
Epoch: [50][5840/7045]	Time 0.563 (0.248)	Data 0.505 (0.186)	Loss 2.9497 (3.0480)	Prec@1 32.422 (29.530)	Prec@5 59.766 (58.441)
Epoch: [50][5850/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 3.0398 (3.0480)	Prec@1 28.516 (29.529)	Prec@5 60.156 (58.441)
Epoch: [50][5860/7045]	Time 0.418 (0.248)	Data 0.362 (0.186)	Loss 3.2025 (3.0480)	Prec@1 28.125 (29.530)	Prec@5 52.734 (58.440)
Epoch: [50][5870/7045]	Time 0.102 (0.248)	Data 0.005 (0.185)	Loss 3.0643 (3.0480)	Prec@1 30.078 (29.532)	Prec@5 56.250 (58.439)
Epoch: [50][5880/7045]	Time 0.373 (0.248)	Data 0.321 (0.186)	Loss 3.1195 (3.0479)	Prec@1 24.609 (29.532)	Prec@5 55.859 (58.440)
Epoch: [50][5890/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 3.2127 (3.0478)	Prec@1 29.297 (29.532)	Prec@5 57.031 (58.441)
Epoch: [50][5900/7045]	Time 0.219 (0.248)	Data 0.168 (0.185)	Loss 3.1348 (3.0478)	Prec@1 29.688 (29.532)	Prec@5 53.906 (58.440)
Epoch: [50][5910/7045]	Time 0.103 (0.248)	Data 0.012 (0.185)	Loss 3.1381 (3.0479)	Prec@1 28.125 (29.531)	Prec@5 55.859 (58.438)
Epoch: [50][5920/7045]	Time 0.178 (0.248)	Data 0.127 (0.185)	Loss 2.7753 (3.0478)	Prec@1 34.375 (29.533)	Prec@5 62.891 (58.441)
Epoch: [50][5930/7045]	Time 0.102 (0.248)	Data 0.007 (0.185)	Loss 3.0362 (3.0479)	Prec@1 32.031 (29.531)	Prec@5 60.938 (58.440)
Epoch: [50][5940/7045]	Time 0.214 (0.248)	Data 0.163 (0.185)	Loss 2.9517 (3.0479)	Prec@1 30.078 (29.531)	Prec@5 58.594 (58.441)
Epoch: [50][5950/7045]	Time 0.107 (0.248)	Data 0.055 (0.185)	Loss 3.0776 (3.0479)	Prec@1 30.469 (29.532)	Prec@5 53.906 (58.441)
Epoch: [50][5960/7045]	Time 0.127 (0.248)	Data 0.075 (0.185)	Loss 2.8381 (3.0480)	Prec@1 29.688 (29.530)	Prec@5 62.891 (58.439)
Epoch: [50][5970/7045]	Time 0.101 (0.248)	Data 0.049 (0.185)	Loss 3.1151 (3.0481)	Prec@1 31.250 (29.530)	Prec@5 56.641 (58.438)
Epoch: [50][5980/7045]	Time 0.101 (0.248)	Data 0.047 (0.185)	Loss 2.8040 (3.0480)	Prec@1 33.203 (29.531)	Prec@5 62.891 (58.441)
Epoch: [50][5990/7045]	Time 0.107 (0.248)	Data 0.046 (0.185)	Loss 2.9738 (3.0479)	Prec@1 26.562 (29.530)	Prec@5 60.156 (58.441)
Epoch: [50][6000/7045]	Time 0.107 (0.248)	Data 0.055 (0.185)	Loss 2.8487 (3.0479)	Prec@1 34.375 (29.531)	Prec@5 60.156 (58.443)
Epoch: [50][6010/7045]	Time 0.101 (0.248)	Data 0.003 (0.185)	Loss 2.9975 (3.0478)	Prec@1 30.078 (29.531)	Prec@5 59.766 (58.444)
Epoch: [50][6020/7045]	Time 0.188 (0.248)	Data 0.137 (0.185)	Loss 3.0860 (3.0479)	Prec@1 29.297 (29.532)	Prec@5 55.469 (58.443)
Epoch: [50][6030/7045]	Time 0.106 (0.248)	Data 0.004 (0.185)	Loss 3.0800 (3.0479)	Prec@1 26.953 (29.533)	Prec@5 55.078 (58.443)
Epoch: [50][6040/7045]	Time 0.374 (0.248)	Data 0.323 (0.185)	Loss 3.1165 (3.0479)	Prec@1 28.516 (29.532)	Prec@5 59.766 (58.442)
Epoch: [50][6050/7045]	Time 0.144 (0.248)	Data 0.091 (0.185)	Loss 3.0704 (3.0479)	Prec@1 28.125 (29.534)	Prec@5 56.641 (58.441)
Epoch: [50][6060/7045]	Time 0.615 (0.248)	Data 0.563 (0.185)	Loss 3.0019 (3.0479)	Prec@1 31.250 (29.533)	Prec@5 58.203 (58.440)
Epoch: [50][6070/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 3.0045 (3.0480)	Prec@1 27.734 (29.531)	Prec@5 56.250 (58.438)
Epoch: [50][6080/7045]	Time 0.651 (0.248)	Data 0.601 (0.185)	Loss 2.9765 (3.0480)	Prec@1 32.422 (29.532)	Prec@5 58.594 (58.438)
Epoch: [50][6090/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 2.9184 (3.0481)	Prec@1 32.812 (29.531)	Prec@5 61.719 (58.437)
Epoch: [50][6100/7045]	Time 0.469 (0.248)	Data 0.418 (0.185)	Loss 3.0102 (3.0479)	Prec@1 29.688 (29.533)	Prec@5 56.250 (58.438)
Epoch: [50][6110/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 2.8245 (3.0479)	Prec@1 32.812 (29.533)	Prec@5 63.672 (58.440)
Epoch: [50][6120/7045]	Time 0.237 (0.248)	Data 0.185 (0.185)	Loss 3.2134 (3.0480)	Prec@1 24.609 (29.530)	Prec@5 56.641 (58.437)
Epoch: [50][6130/7045]	Time 0.109 (0.248)	Data 0.057 (0.185)	Loss 2.9986 (3.0480)	Prec@1 27.734 (29.531)	Prec@5 60.547 (58.439)
Epoch: [50][6140/7045]	Time 0.106 (0.248)	Data 0.001 (0.185)	Loss 3.1226 (3.0479)	Prec@1 26.562 (29.532)	Prec@5 57.812 (58.440)
Epoch: [50][6150/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 3.0888 (3.0479)	Prec@1 30.859 (29.532)	Prec@5 60.547 (58.440)
Epoch: [50][6160/7045]	Time 0.248 (0.248)	Data 0.197 (0.185)	Loss 2.8668 (3.0480)	Prec@1 29.688 (29.530)	Prec@5 63.281 (58.437)
Epoch: [50][6170/7045]	Time 0.102 (0.248)	Data 0.004 (0.185)	Loss 2.8794 (3.0480)	Prec@1 30.469 (29.529)	Prec@5 58.594 (58.436)
Epoch: [50][6180/7045]	Time 0.334 (0.248)	Data 0.283 (0.185)	Loss 3.0702 (3.0481)	Prec@1 28.516 (29.525)	Prec@5 57.031 (58.433)
Epoch: [50][6190/7045]	Time 0.102 (0.248)	Data 0.003 (0.185)	Loss 3.1001 (3.0481)	Prec@1 23.438 (29.523)	Prec@5 58.984 (58.433)
Epoch: [50][6200/7045]	Time 0.425 (0.248)	Data 0.373 (0.185)	Loss 2.7404 (3.0482)	Prec@1 30.469 (29.524)	Prec@5 62.109 (58.431)
Epoch: [50][6210/7045]	Time 0.109 (0.248)	Data 0.057 (0.185)	Loss 2.8872 (3.0482)	Prec@1 33.594 (29.524)	Prec@5 62.500 (58.430)
Epoch: [50][6220/7045]	Time 0.524 (0.248)	Data 0.474 (0.185)	Loss 3.2066 (3.0483)	Prec@1 28.516 (29.523)	Prec@5 57.031 (58.430)
Epoch: [50][6230/7045]	Time 0.105 (0.248)	Data 0.052 (0.185)	Loss 3.1670 (3.0484)	Prec@1 28.125 (29.524)	Prec@5 55.859 (58.429)
Epoch: [50][6240/7045]	Time 0.574 (0.248)	Data 0.522 (0.185)	Loss 3.0376 (3.0483)	Prec@1 28.516 (29.525)	Prec@5 60.547 (58.430)
Epoch: [50][6250/7045]	Time 0.250 (0.248)	Data 0.200 (0.185)	Loss 3.1588 (3.0483)	Prec@1 24.609 (29.524)	Prec@5 53.516 (58.429)
Epoch: [50][6260/7045]	Time 0.502 (0.248)	Data 0.446 (0.185)	Loss 2.9316 (3.0483)	Prec@1 30.859 (29.525)	Prec@5 61.719 (58.429)
Epoch: [50][6270/7045]	Time 0.227 (0.248)	Data 0.176 (0.185)	Loss 3.0666 (3.0484)	Prec@1 28.125 (29.523)	Prec@5 57.812 (58.426)
Epoch: [50][6280/7045]	Time 0.589 (0.248)	Data 0.538 (0.185)	Loss 3.1411 (3.0484)	Prec@1 28.516 (29.522)	Prec@5 52.734 (58.428)
Epoch: [50][6290/7045]	Time 0.193 (0.247)	Data 0.142 (0.185)	Loss 2.9261 (3.0485)	Prec@1 30.859 (29.520)	Prec@5 60.938 (58.427)
Epoch: [50][6300/7045]	Time 0.507 (0.248)	Data 0.455 (0.185)	Loss 2.9775 (3.0484)	Prec@1 29.688 (29.523)	Prec@5 62.109 (58.429)
Epoch: [50][6310/7045]	Time 0.108 (0.247)	Data 0.003 (0.185)	Loss 3.1935 (3.0483)	Prec@1 26.562 (29.524)	Prec@5 54.688 (58.430)
Epoch: [50][6320/7045]	Time 0.556 (0.247)	Data 0.505 (0.185)	Loss 3.1932 (3.0485)	Prec@1 28.516 (29.522)	Prec@5 53.516 (58.426)
Epoch: [50][6330/7045]	Time 0.238 (0.247)	Data 0.187 (0.185)	Loss 3.2087 (3.0485)	Prec@1 24.609 (29.520)	Prec@5 54.297 (58.426)
Epoch: [50][6340/7045]	Time 0.555 (0.247)	Data 0.504 (0.185)	Loss 2.8040 (3.0485)	Prec@1 33.984 (29.519)	Prec@5 67.188 (58.424)
Epoch: [50][6350/7045]	Time 0.107 (0.247)	Data 0.055 (0.185)	Loss 2.9260 (3.0486)	Prec@1 33.594 (29.518)	Prec@5 62.500 (58.424)
Epoch: [50][6360/7045]	Time 0.560 (0.247)	Data 0.509 (0.185)	Loss 2.8514 (3.0485)	Prec@1 29.688 (29.518)	Prec@5 59.766 (58.426)
Epoch: [50][6370/7045]	Time 0.102 (0.247)	Data 0.001 (0.185)	Loss 3.0908 (3.0484)	Prec@1 24.219 (29.520)	Prec@5 57.422 (58.427)
Epoch: [50][6380/7045]	Time 0.580 (0.247)	Data 0.529 (0.185)	Loss 2.9307 (3.0485)	Prec@1 27.344 (29.519)	Prec@5 63.281 (58.424)
Epoch: [50][6390/7045]	Time 0.102 (0.247)	Data 0.050 (0.185)	Loss 3.0582 (3.0485)	Prec@1 26.562 (29.518)	Prec@5 57.812 (58.427)
Epoch: [50][6400/7045]	Time 0.596 (0.247)	Data 0.537 (0.185)	Loss 3.2510 (3.0486)	Prec@1 26.172 (29.514)	Prec@5 57.031 (58.424)
Epoch: [50][6410/7045]	Time 0.103 (0.247)	Data 0.053 (0.185)	Loss 3.0903 (3.0487)	Prec@1 29.297 (29.514)	Prec@5 57.031 (58.422)
Epoch: [50][6420/7045]	Time 0.655 (0.247)	Data 0.604 (0.185)	Loss 3.0959 (3.0488)	Prec@1 26.172 (29.511)	Prec@5 55.469 (58.417)
Epoch: [50][6430/7045]	Time 0.102 (0.247)	Data 0.001 (0.185)	Loss 3.2158 (3.0488)	Prec@1 28.516 (29.511)	Prec@5 53.906 (58.417)
Epoch: [50][6440/7045]	Time 0.619 (0.247)	Data 0.569 (0.185)	Loss 3.1873 (3.0489)	Prec@1 28.906 (29.511)	Prec@5 53.125 (58.416)
Epoch: [50][6450/7045]	Time 0.100 (0.247)	Data 0.048 (0.185)	Loss 3.1397 (3.0488)	Prec@1 29.688 (29.511)	Prec@5 55.078 (58.416)
Epoch: [50][6460/7045]	Time 0.591 (0.247)	Data 0.540 (0.185)	Loss 3.1096 (3.0489)	Prec@1 31.641 (29.513)	Prec@5 55.078 (58.414)
Epoch: [50][6470/7045]	Time 0.111 (0.247)	Data 0.060 (0.185)	Loss 2.9603 (3.0490)	Prec@1 33.203 (29.511)	Prec@5 58.984 (58.410)
Epoch: [50][6480/7045]	Time 0.566 (0.247)	Data 0.510 (0.185)	Loss 3.1733 (3.0492)	Prec@1 24.609 (29.507)	Prec@5 56.250 (58.404)
Epoch: [50][6490/7045]	Time 0.120 (0.247)	Data 0.069 (0.185)	Loss 2.9501 (3.0493)	Prec@1 27.344 (29.504)	Prec@5 61.328 (58.403)
Epoch: [50][6500/7045]	Time 0.553 (0.247)	Data 0.503 (0.185)	Loss 2.8981 (3.0494)	Prec@1 34.375 (29.502)	Prec@5 62.109 (58.401)
Epoch: [50][6510/7045]	Time 0.102 (0.247)	Data 0.051 (0.185)	Loss 2.9064 (3.0494)	Prec@1 32.031 (29.500)	Prec@5 64.453 (58.399)
Epoch: [50][6520/7045]	Time 0.349 (0.247)	Data 0.291 (0.185)	Loss 3.2889 (3.0495)	Prec@1 28.906 (29.501)	Prec@5 53.906 (58.399)
Epoch: [50][6530/7045]	Time 0.108 (0.247)	Data 0.056 (0.185)	Loss 2.9300 (3.0494)	Prec@1 31.641 (29.501)	Prec@5 57.031 (58.398)
Epoch: [50][6540/7045]	Time 0.102 (0.247)	Data 0.003 (0.185)	Loss 2.9226 (3.0494)	Prec@1 29.688 (29.502)	Prec@5 62.109 (58.397)
Epoch: [50][6550/7045]	Time 0.121 (0.247)	Data 0.070 (0.185)	Loss 3.1575 (3.0494)	Prec@1 30.469 (29.502)	Prec@5 57.031 (58.397)
Epoch: [50][6560/7045]	Time 0.152 (0.247)	Data 0.100 (0.185)	Loss 3.1735 (3.0494)	Prec@1 26.172 (29.502)	Prec@5 55.859 (58.396)
Epoch: [50][6570/7045]	Time 0.102 (0.247)	Data 0.006 (0.185)	Loss 3.0735 (3.0494)	Prec@1 27.734 (29.501)	Prec@5 56.250 (58.396)
Epoch: [50][6580/7045]	Time 0.169 (0.247)	Data 0.118 (0.185)	Loss 2.7615 (3.0494)	Prec@1 36.328 (29.501)	Prec@5 60.938 (58.395)
Epoch: [50][6590/7045]	Time 0.258 (0.247)	Data 0.207 (0.185)	Loss 3.0061 (3.0494)	Prec@1 26.172 (29.501)	Prec@5 57.812 (58.394)
Epoch: [50][6600/7045]	Time 0.280 (0.247)	Data 0.229 (0.185)	Loss 3.0927 (3.0494)	Prec@1 28.516 (29.502)	Prec@5 53.125 (58.394)
Epoch: [50][6610/7045]	Time 0.489 (0.247)	Data 0.438 (0.185)	Loss 3.0700 (3.0495)	Prec@1 25.781 (29.501)	Prec@5 56.641 (58.390)
Epoch: [50][6620/7045]	Time 0.152 (0.247)	Data 0.100 (0.185)	Loss 2.8776 (3.0495)	Prec@1 31.641 (29.501)	Prec@5 63.672 (58.391)
Epoch: [50][6630/7045]	Time 0.426 (0.247)	Data 0.374 (0.185)	Loss 2.9217 (3.0495)	Prec@1 30.469 (29.499)	Prec@5 59.766 (58.390)
Epoch: [50][6640/7045]	Time 0.102 (0.247)	Data 0.007 (0.185)	Loss 3.0686 (3.0494)	Prec@1 31.641 (29.501)	Prec@5 58.594 (58.391)
Epoch: [50][6650/7045]	Time 0.262 (0.247)	Data 0.209 (0.185)	Loss 3.0283 (3.0495)	Prec@1 29.297 (29.502)	Prec@5 57.422 (58.390)
Epoch: [50][6660/7045]	Time 0.263 (0.247)	Data 0.212 (0.185)	Loss 3.2164 (3.0495)	Prec@1 31.641 (29.502)	Prec@5 54.297 (58.390)
Epoch: [50][6670/7045]	Time 0.101 (0.247)	Data 0.003 (0.185)	Loss 3.0373 (3.0496)	Prec@1 30.078 (29.501)	Prec@5 57.422 (58.390)
Epoch: [50][6680/7045]	Time 0.320 (0.247)	Data 0.269 (0.185)	Loss 2.8100 (3.0495)	Prec@1 33.203 (29.502)	Prec@5 64.062 (58.391)
Epoch: [50][6690/7045]	Time 0.102 (0.247)	Data 0.004 (0.185)	Loss 2.8963 (3.0495)	Prec@1 30.078 (29.502)	Prec@5 62.891 (58.390)
Epoch: [50][6700/7045]	Time 0.268 (0.247)	Data 0.211 (0.185)	Loss 3.0766 (3.0496)	Prec@1 29.688 (29.502)	Prec@5 58.984 (58.389)
Epoch: [50][6710/7045]	Time 0.127 (0.247)	Data 0.075 (0.185)	Loss 3.1506 (3.0496)	Prec@1 26.172 (29.501)	Prec@5 57.031 (58.390)
Epoch: [50][6720/7045]	Time 0.318 (0.247)	Data 0.266 (0.185)	Loss 2.9899 (3.0496)	Prec@1 29.688 (29.502)	Prec@5 58.984 (58.391)
Epoch: [50][6730/7045]	Time 0.103 (0.247)	Data 0.051 (0.185)	Loss 3.0144 (3.0496)	Prec@1 26.953 (29.502)	Prec@5 59.375 (58.391)
Epoch: [50][6740/7045]	Time 0.345 (0.247)	Data 0.294 (0.185)	Loss 3.1369 (3.0496)	Prec@1 25.000 (29.501)	Prec@5 58.594 (58.391)
Epoch: [50][6750/7045]	Time 0.230 (0.247)	Data 0.179 (0.185)	Loss 3.2790 (3.0497)	Prec@1 26.172 (29.501)	Prec@5 51.562 (58.389)
Epoch: [50][6760/7045]	Time 0.335 (0.247)	Data 0.278 (0.185)	Loss 3.0325 (3.0496)	Prec@1 26.953 (29.503)	Prec@5 60.547 (58.390)
Epoch: [50][6770/7045]	Time 0.399 (0.247)	Data 0.348 (0.185)	Loss 3.1616 (3.0497)	Prec@1 29.297 (29.501)	Prec@5 60.156 (58.389)
Epoch: [50][6780/7045]	Time 0.181 (0.247)	Data 0.123 (0.185)	Loss 2.9947 (3.0496)	Prec@1 34.375 (29.504)	Prec@5 61.328 (58.392)
Epoch: [50][6790/7045]	Time 0.478 (0.247)	Data 0.427 (0.185)	Loss 2.9752 (3.0495)	Prec@1 30.859 (29.505)	Prec@5 57.812 (58.394)
Epoch: [50][6800/7045]	Time 0.101 (0.247)	Data 0.001 (0.185)	Loss 3.0140 (3.0495)	Prec@1 31.250 (29.505)	Prec@5 58.203 (58.394)
Epoch: [50][6810/7045]	Time 0.403 (0.247)	Data 0.353 (0.185)	Loss 2.9894 (3.0495)	Prec@1 33.203 (29.506)	Prec@5 60.547 (58.395)
Epoch: [50][6820/7045]	Time 0.207 (0.247)	Data 0.152 (0.185)	Loss 3.2177 (3.0496)	Prec@1 30.078 (29.504)	Prec@5 55.469 (58.393)
Epoch: [50][6830/7045]	Time 0.268 (0.247)	Data 0.216 (0.185)	Loss 3.0822 (3.0496)	Prec@1 30.469 (29.505)	Prec@5 58.203 (58.393)
Epoch: [50][6840/7045]	Time 0.253 (0.247)	Data 0.201 (0.185)	Loss 3.1081 (3.0497)	Prec@1 30.859 (29.502)	Prec@5 57.031 (58.391)
Epoch: [50][6850/7045]	Time 0.102 (0.247)	Data 0.003 (0.185)	Loss 3.1678 (3.0497)	Prec@1 28.125 (29.502)	Prec@5 56.250 (58.389)
Epoch: [50][6860/7045]	Time 0.196 (0.247)	Data 0.144 (0.185)	Loss 3.1416 (3.0497)	Prec@1 28.906 (29.501)	Prec@5 57.422 (58.388)
Epoch: [50][6870/7045]	Time 0.158 (0.247)	Data 0.106 (0.185)	Loss 3.2649 (3.0498)	Prec@1 24.219 (29.500)	Prec@5 53.906 (58.387)
Epoch: [50][6880/7045]	Time 0.102 (0.247)	Data 0.001 (0.185)	Loss 2.9774 (3.0497)	Prec@1 30.078 (29.500)	Prec@5 57.031 (58.389)
Epoch: [50][6890/7045]	Time 0.114 (0.247)	Data 0.062 (0.185)	Loss 3.0411 (3.0497)	Prec@1 27.734 (29.500)	Prec@5 58.984 (58.389)
Epoch: [50][6900/7045]	Time 0.247 (0.247)	Data 0.196 (0.185)	Loss 2.8663 (3.0498)	Prec@1 30.078 (29.497)	Prec@5 61.719 (58.389)
Epoch: [50][6910/7045]	Time 0.102 (0.247)	Data 0.049 (0.185)	Loss 3.4356 (3.0498)	Prec@1 21.875 (29.496)	Prec@5 50.391 (58.388)
Epoch: [50][6920/7045]	Time 0.499 (0.247)	Data 0.448 (0.185)	Loss 3.0065 (3.0497)	Prec@1 27.734 (29.497)	Prec@5 58.203 (58.391)
Epoch: [50][6930/7045]	Time 0.101 (0.247)	Data 0.001 (0.185)	Loss 2.9767 (3.0497)	Prec@1 33.594 (29.498)	Prec@5 60.547 (58.392)
Epoch: [50][6940/7045]	Time 0.573 (0.247)	Data 0.521 (0.185)	Loss 3.1281 (3.0497)	Prec@1 26.562 (29.498)	Prec@5 53.516 (58.391)
Epoch: [50][6950/7045]	Time 0.201 (0.247)	Data 0.150 (0.185)	Loss 2.9963 (3.0497)	Prec@1 31.250 (29.498)	Prec@5 63.672 (58.392)
Epoch: [50][6960/7045]	Time 0.527 (0.247)	Data 0.475 (0.185)	Loss 3.0381 (3.0497)	Prec@1 27.344 (29.498)	Prec@5 59.375 (58.391)
Epoch: [50][6970/7045]	Time 0.149 (0.247)	Data 0.098 (0.185)	Loss 2.7876 (3.0497)	Prec@1 34.766 (29.500)	Prec@5 62.109 (58.392)
Epoch: [50][6980/7045]	Time 0.277 (0.247)	Data 0.228 (0.185)	Loss 3.0962 (3.0497)	Prec@1 30.859 (29.500)	Prec@5 57.812 (58.392)
Epoch: [50][6990/7045]	Time 0.140 (0.247)	Data 0.090 (0.184)	Loss 3.1484 (3.0498)	Prec@1 28.125 (29.501)	Prec@5 57.812 (58.390)
Epoch: [50][7000/7045]	Time 0.103 (0.247)	Data 0.001 (0.185)	Loss 2.9311 (3.0497)	Prec@1 30.859 (29.502)	Prec@5 61.328 (58.391)
Epoch: [50][7010/7045]	Time 0.170 (0.247)	Data 0.120 (0.184)	Loss 3.1087 (3.0497)	Prec@1 27.734 (29.503)	Prec@5 59.375 (58.392)
Epoch: [50][7020/7045]	Time 0.226 (0.247)	Data 0.175 (0.185)	Loss 2.9547 (3.0497)	Prec@1 29.297 (29.502)	Prec@5 62.109 (58.392)
Epoch: [50][7030/7045]	Time 0.104 (0.247)	Data 0.052 (0.184)	Loss 3.0327 (3.0497)	Prec@1 33.594 (29.502)	Prec@5 57.812 (58.392)
Epoch: [50][7040/7045]	Time 0.233 (0.247)	Data 0.183 (0.185)	Loss 3.2365 (3.0498)	Prec@1 29.688 (29.502)	Prec@5 55.078 (58.393)
Test: [0/143]	Time 1.265 (1.265)	Loss 2.6339 (2.6339)	Prec@1 39.062 (39.062)	Prec@5 69.141 (69.141)
Test: [10/143]	Time 0.055 (0.245)	Loss 1.9687 (2.4166)	Prec@1 55.078 (40.518)	Prec@5 80.859 (72.159)
Test: [20/143]	Time 0.512 (0.226)	Loss 2.5760 (2.3853)	Prec@1 34.375 (39.807)	Prec@5 69.141 (72.786)
Test: [30/143]	Time 0.100 (0.203)	Loss 2.7397 (2.4167)	Prec@1 40.625 (40.373)	Prec@5 64.844 (71.598)
Test: [40/143]	Time 0.521 (0.203)	Loss 3.0299 (2.4503)	Prec@1 24.219 (39.491)	Prec@5 61.328 (70.856)
Test: [50/143]	Time 0.059 (0.191)	Loss 2.1732 (2.4962)	Prec@1 37.109 (38.304)	Prec@5 80.859 (70.228)
Test: [60/143]	Time 0.421 (0.192)	Loss 2.5623 (2.4744)	Prec@1 30.859 (38.813)	Prec@5 71.094 (70.601)
Test: [70/143]	Time 0.048 (0.186)	Loss 3.6045 (2.4753)	Prec@1 10.156 (38.765)	Prec@5 44.531 (70.445)
Test: [80/143]	Time 0.100 (0.186)	Loss 2.5003 (2.4722)	Prec@1 37.109 (38.836)	Prec@5 72.656 (70.602)
Test: [90/143]	Time 0.148 (0.183)	Loss 1.9898 (2.4630)	Prec@1 50.000 (38.929)	Prec@5 82.812 (70.772)
Test: [100/143]	Time 0.110 (0.184)	Loss 2.3795 (2.4630)	Prec@1 38.281 (38.842)	Prec@5 75.781 (70.780)
Test: [110/143]	Time 0.186 (0.181)	Loss 2.2960 (2.4610)	Prec@1 43.750 (38.985)	Prec@5 73.047 (70.865)
Test: [120/143]	Time 0.106 (0.182)	Loss 1.9977 (2.4506)	Prec@1 54.688 (39.360)	Prec@5 82.422 (71.087)
Test: [130/143]	Time 0.062 (0.180)	Loss 1.9494 (2.4597)	Prec@1 54.688 (39.250)	Prec@5 71.094 (70.775)
Test: [140/143]	Time 0.047 (0.180)	Loss 3.3037 (2.4831)	Prec@1 20.703 (38.794)	Prec@5 54.688 (70.221)
 * Prec@1 38.825 Prec@5 70.255
Epoch: [51][0/7045]	Time 2.385 (2.385)	Data 2.321 (2.321)	Loss 3.2528 (3.2528)	Prec@1 24.609 (24.609)	Prec@5 55.859 (55.859)
Epoch: [51][10/7045]	Time 0.639 (0.461)	Data 0.580 (0.400)	Loss 3.0342 (3.0517)	Prec@1 30.078 (29.474)	Prec@5 59.766 (59.091)
Epoch: [51][20/7045]	Time 0.135 (0.356)	Data 0.083 (0.294)	Loss 3.2567 (3.0476)	Prec@1 25.391 (29.632)	Prec@5 55.078 (59.170)
Epoch: [51][30/7045]	Time 0.156 (0.326)	Data 0.105 (0.268)	Loss 3.0911 (3.0211)	Prec@1 30.469 (30.116)	Prec@5 58.203 (59.262)
Epoch: [51][40/7045]	Time 0.113 (0.304)	Data 0.062 (0.244)	Loss 3.0753 (3.0313)	Prec@1 28.125 (29.859)	Prec@5 54.297 (58.718)
Epoch: [51][50/7045]	Time 0.275 (0.298)	Data 0.224 (0.237)	Loss 3.1803 (3.0255)	Prec@1 28.516 (29.764)	Prec@5 57.422 (58.770)
Epoch: [51][60/7045]	Time 0.423 (0.291)	Data 0.371 (0.232)	Loss 2.8941 (3.0215)	Prec@1 32.812 (29.899)	Prec@5 59.766 (58.805)
Epoch: [51][70/7045]	Time 0.103 (0.282)	Data 0.047 (0.222)	Loss 2.9402 (3.0239)	Prec@1 30.078 (29.792)	Prec@5 61.719 (58.759)
Epoch: [51][80/7045]	Time 0.430 (0.279)	Data 0.379 (0.219)	Loss 2.9212 (3.0150)	Prec@1 32.812 (30.035)	Prec@5 59.766 (59.004)
Epoch: [51][90/7045]	Time 0.231 (0.275)	Data 0.180 (0.215)	Loss 3.0695 (3.0201)	Prec@1 30.469 (30.014)	Prec@5 53.906 (58.838)
Epoch: [51][100/7045]	Time 0.103 (0.273)	Data 0.001 (0.213)	Loss 2.8538 (3.0206)	Prec@1 29.688 (29.889)	Prec@5 62.109 (58.853)
Epoch: [51][110/7045]	Time 0.188 (0.269)	Data 0.136 (0.210)	Loss 3.1641 (3.0190)	Prec@1 26.562 (29.930)	Prec@5 52.734 (58.837)
Epoch: [51][120/7045]	Time 0.423 (0.269)	Data 0.372 (0.210)	Loss 3.3271 (3.0230)	Prec@1 25.781 (29.884)	Prec@5 51.953 (58.749)
Epoch: [51][130/7045]	Time 0.248 (0.267)	Data 0.191 (0.208)	Loss 3.0345 (3.0230)	Prec@1 28.125 (29.843)	Prec@5 56.641 (58.814)
Epoch: [51][140/7045]	Time 0.237 (0.265)	Data 0.185 (0.206)	Loss 2.9867 (3.0188)	Prec@1 30.859 (29.953)	Prec@5 63.672 (58.898)
Epoch: [51][150/7045]	Time 0.223 (0.264)	Data 0.171 (0.205)	Loss 2.9678 (3.0174)	Prec@1 27.734 (29.944)	Prec@5 59.766 (58.917)
Epoch: [51][160/7045]	Time 0.329 (0.264)	Data 0.278 (0.205)	Loss 3.1520 (3.0195)	Prec@1 30.078 (29.843)	Prec@5 58.203 (58.878)
Epoch: [51][170/7045]	Time 0.101 (0.262)	Data 0.001 (0.203)	Loss 3.1048 (3.0206)	Prec@1 32.422 (29.898)	Prec@5 56.641 (58.872)
Epoch: [51][180/7045]	Time 0.346 (0.261)	Data 0.294 (0.203)	Loss 3.0756 (3.0185)	Prec@1 28.125 (29.964)	Prec@5 60.547 (58.935)
Epoch: [51][190/7045]	Time 0.162 (0.259)	Data 0.111 (0.201)	Loss 3.2178 (3.0213)	Prec@1 27.734 (29.951)	Prec@5 55.078 (58.927)
Epoch: [51][200/7045]	Time 0.338 (0.260)	Data 0.287 (0.201)	Loss 3.0345 (3.0226)	Prec@1 30.078 (29.886)	Prec@5 59.766 (58.942)
Epoch: [51][210/7045]	Time 0.176 (0.258)	Data 0.125 (0.199)	Loss 3.1322 (3.0231)	Prec@1 29.297 (29.876)	Prec@5 59.375 (58.958)
Epoch: [51][220/7045]	Time 0.387 (0.258)	Data 0.336 (0.199)	Loss 2.9418 (3.0205)	Prec@1 29.688 (29.944)	Prec@5 60.938 (58.990)
Epoch: [51][230/7045]	Time 0.102 (0.256)	Data 0.050 (0.197)	Loss 3.0669 (3.0210)	Prec@1 28.516 (29.916)	Prec@5 58.594 (58.976)
Epoch: [51][240/7045]	Time 0.357 (0.256)	Data 0.306 (0.198)	Loss 3.0636 (3.0208)	Prec@1 26.172 (29.921)	Prec@5 54.688 (58.955)
Epoch: [51][250/7045]	Time 0.114 (0.255)	Data 0.063 (0.197)	Loss 2.9442 (3.0227)	Prec@1 32.812 (29.901)	Prec@5 58.984 (58.927)
Epoch: [51][260/7045]	Time 0.280 (0.255)	Data 0.229 (0.197)	Loss 3.1126 (3.0241)	Prec@1 27.734 (29.900)	Prec@5 54.688 (58.860)
Epoch: [51][270/7045]	Time 0.102 (0.254)	Data 0.001 (0.196)	Loss 3.0576 (3.0225)	Prec@1 32.031 (29.961)	Prec@5 58.594 (58.921)
Epoch: [51][280/7045]	Time 0.284 (0.254)	Data 0.231 (0.195)	Loss 2.8633 (3.0254)	Prec@1 30.859 (29.920)	Prec@5 64.844 (58.884)
Epoch: [51][290/7045]	Time 0.101 (0.253)	Data 0.007 (0.194)	Loss 3.0222 (3.0255)	Prec@1 32.422 (29.920)	Prec@5 59.375 (58.901)
Epoch: [51][300/7045]	Time 0.188 (0.253)	Data 0.137 (0.194)	Loss 3.0050 (3.0266)	Prec@1 29.297 (29.946)	Prec@5 55.859 (58.884)
Epoch: [51][310/7045]	Time 0.100 (0.253)	Data 0.002 (0.193)	Loss 2.9937 (3.0254)	Prec@1 26.172 (29.939)	Prec@5 61.719 (58.925)
Epoch: [51][320/7045]	Time 0.196 (0.252)	Data 0.146 (0.193)	Loss 3.3600 (3.0246)	Prec@1 25.781 (29.959)	Prec@5 48.438 (58.932)
Epoch: [51][330/7045]	Time 0.100 (0.252)	Data 0.001 (0.192)	Loss 3.1645 (3.0252)	Prec@1 27.734 (29.948)	Prec@5 58.203 (58.922)
Epoch: [51][340/7045]	Time 0.101 (0.251)	Data 0.001 (0.192)	Loss 3.2001 (3.0250)	Prec@1 25.781 (29.940)	Prec@5 52.734 (58.917)
Epoch: [51][350/7045]	Time 0.116 (0.251)	Data 0.064 (0.191)	Loss 2.9636 (3.0236)	Prec@1 27.734 (29.923)	Prec@5 59.375 (58.935)
Epoch: [51][360/7045]	Time 0.101 (0.251)	Data 0.048 (0.191)	Loss 3.0159 (3.0243)	Prec@1 29.688 (29.907)	Prec@5 60.547 (58.950)
Epoch: [51][370/7045]	Time 0.161 (0.251)	Data 0.110 (0.191)	Loss 2.9454 (3.0248)	Prec@1 33.203 (29.928)	Prec@5 58.594 (58.943)
Epoch: [51][380/7045]	Time 0.150 (0.250)	Data 0.099 (0.191)	Loss 3.0407 (3.0259)	Prec@1 31.250 (29.914)	Prec@5 61.719 (58.929)
Epoch: [51][390/7045]	Time 0.103 (0.250)	Data 0.049 (0.191)	Loss 3.1183 (3.0269)	Prec@1 28.516 (29.905)	Prec@5 60.156 (58.888)
Epoch: [51][400/7045]	Time 0.241 (0.250)	Data 0.189 (0.191)	Loss 2.7760 (3.0260)	Prec@1 34.375 (29.914)	Prec@5 66.016 (58.923)
Epoch: [51][410/7045]	Time 0.101 (0.250)	Data 0.001 (0.191)	Loss 3.0487 (3.0246)	Prec@1 30.859 (29.941)	Prec@5 58.203 (58.954)
Epoch: [51][420/7045]	Time 0.290 (0.249)	Data 0.239 (0.191)	Loss 3.0512 (3.0257)	Prec@1 29.297 (29.931)	Prec@5 60.547 (58.944)
Epoch: [51][430/7045]	Time 0.102 (0.249)	Data 0.001 (0.190)	Loss 3.0474 (3.0252)	Prec@1 36.719 (29.942)	Prec@5 57.031 (58.942)
Epoch: [51][440/7045]	Time 0.271 (0.249)	Data 0.219 (0.190)	Loss 2.9889 (3.0257)	Prec@1 26.953 (29.941)	Prec@5 59.766 (58.937)
Epoch: [51][450/7045]	Time 0.102 (0.249)	Data 0.045 (0.190)	Loss 2.9764 (3.0250)	Prec@1 30.859 (29.937)	Prec@5 56.250 (58.936)
Epoch: [51][460/7045]	Time 0.258 (0.248)	Data 0.207 (0.189)	Loss 3.0255 (3.0266)	Prec@1 30.078 (29.900)	Prec@5 57.812 (58.912)
Epoch: [51][470/7045]	Time 0.100 (0.248)	Data 0.044 (0.189)	Loss 2.7449 (3.0273)	Prec@1 34.375 (29.871)	Prec@5 63.281 (58.880)
Epoch: [51][480/7045]	Time 0.288 (0.248)	Data 0.237 (0.189)	Loss 3.2629 (3.0268)	Prec@1 25.781 (29.878)	Prec@5 53.906 (58.882)
Epoch: [51][490/7045]	Time 0.101 (0.248)	Data 0.001 (0.189)	Loss 2.9896 (3.0274)	Prec@1 27.734 (29.877)	Prec@5 62.500 (58.867)
Epoch: [51][500/7045]	Time 0.343 (0.248)	Data 0.292 (0.189)	Loss 3.2016 (3.0277)	Prec@1 28.125 (29.883)	Prec@5 56.641 (58.871)
Epoch: [51][510/7045]	Time 0.106 (0.248)	Data 0.048 (0.189)	Loss 2.9905 (3.0273)	Prec@1 28.906 (29.891)	Prec@5 57.422 (58.879)
Epoch: [51][520/7045]	Time 0.375 (0.248)	Data 0.324 (0.189)	Loss 3.1034 (3.0278)	Prec@1 27.734 (29.883)	Prec@5 56.641 (58.879)
Epoch: [51][530/7045]	Time 0.102 (0.248)	Data 0.001 (0.189)	Loss 3.2708 (3.0285)	Prec@1 30.078 (29.868)	Prec@5 53.906 (58.845)
Epoch: [51][540/7045]	Time 0.316 (0.247)	Data 0.265 (0.188)	Loss 2.9812 (3.0287)	Prec@1 28.516 (29.854)	Prec@5 59.375 (58.861)
Epoch: [51][550/7045]	Time 0.102 (0.247)	Data 0.006 (0.188)	Loss 3.2645 (3.0298)	Prec@1 26.953 (29.842)	Prec@5 50.391 (58.832)
Epoch: [51][560/7045]	Time 0.131 (0.247)	Data 0.079 (0.188)	Loss 2.9835 (3.0293)	Prec@1 32.422 (29.866)	Prec@5 61.719 (58.848)
Epoch: [51][570/7045]	Time 0.101 (0.247)	Data 0.001 (0.188)	Loss 3.2093 (3.0307)	Prec@1 28.906 (29.822)	Prec@5 53.125 (58.830)
Epoch: [51][580/7045]	Time 0.135 (0.247)	Data 0.084 (0.187)	Loss 2.9950 (3.0306)	Prec@1 26.953 (29.828)	Prec@5 59.375 (58.824)
Epoch: [51][590/7045]	Time 0.103 (0.247)	Data 0.003 (0.187)	Loss 2.9256 (3.0299)	Prec@1 29.297 (29.826)	Prec@5 63.672 (58.841)
Epoch: [51][600/7045]	Time 0.462 (0.247)	Data 0.403 (0.188)	Loss 3.0300 (3.0309)	Prec@1 32.812 (29.808)	Prec@5 56.641 (58.815)
Epoch: [51][610/7045]	Time 0.103 (0.247)	Data 0.001 (0.187)	Loss 3.0711 (3.0299)	Prec@1 29.297 (29.838)	Prec@5 62.500 (58.853)
Epoch: [51][620/7045]	Time 0.449 (0.247)	Data 0.390 (0.187)	Loss 3.2050 (3.0297)	Prec@1 28.125 (29.838)	Prec@5 54.297 (58.851)
Epoch: [51][630/7045]	Time 0.142 (0.246)	Data 0.090 (0.187)	Loss 2.8428 (3.0299)	Prec@1 33.984 (29.848)	Prec@5 63.672 (58.844)
Epoch: [51][640/7045]	Time 0.406 (0.247)	Data 0.356 (0.187)	Loss 3.0223 (3.0293)	Prec@1 30.469 (29.867)	Prec@5 59.375 (58.859)
Epoch: [51][650/7045]	Time 0.379 (0.247)	Data 0.321 (0.187)	Loss 3.0682 (3.0295)	Prec@1 28.516 (29.850)	Prec@5 57.031 (58.853)
Epoch: [51][660/7045]	Time 0.183 (0.246)	Data 0.131 (0.187)	Loss 2.8994 (3.0295)	Prec@1 37.109 (29.852)	Prec@5 58.594 (58.862)
Epoch: [51][670/7045]	Time 0.541 (0.247)	Data 0.488 (0.187)	Loss 3.2074 (3.0287)	Prec@1 27.734 (29.871)	Prec@5 57.031 (58.863)
Epoch: [51][680/7045]	Time 0.102 (0.246)	Data 0.001 (0.187)	Loss 3.0874 (3.0286)	Prec@1 27.734 (29.875)	Prec@5 57.422 (58.857)
Epoch: [51][690/7045]	Time 0.458 (0.246)	Data 0.408 (0.187)	Loss 2.9438 (3.0279)	Prec@1 34.375 (29.879)	Prec@5 61.328 (58.867)
Epoch: [51][700/7045]	Time 0.164 (0.246)	Data 0.108 (0.187)	Loss 2.8248 (3.0277)	Prec@1 29.297 (29.880)	Prec@5 63.672 (58.877)
Epoch: [51][710/7045]	Time 0.384 (0.246)	Data 0.334 (0.187)	Loss 2.8516 (3.0272)	Prec@1 32.422 (29.889)	Prec@5 63.281 (58.898)
Epoch: [51][720/7045]	Time 0.115 (0.246)	Data 0.063 (0.187)	Loss 2.9050 (3.0272)	Prec@1 34.375 (29.893)	Prec@5 62.109 (58.907)
Epoch: [51][730/7045]	Time 0.107 (0.246)	Data 0.055 (0.187)	Loss 2.9829 (3.0278)	Prec@1 33.203 (29.889)	Prec@5 57.812 (58.878)
Epoch: [51][740/7045]	Time 0.107 (0.246)	Data 0.056 (0.187)	Loss 3.0241 (3.0278)	Prec@1 31.250 (29.888)	Prec@5 58.984 (58.878)
Epoch: [51][750/7045]	Time 0.171 (0.246)	Data 0.120 (0.187)	Loss 2.9435 (3.0272)	Prec@1 35.156 (29.913)	Prec@5 58.984 (58.884)
Epoch: [51][760/7045]	Time 0.101 (0.246)	Data 0.001 (0.186)	Loss 3.0187 (3.0269)	Prec@1 30.078 (29.910)	Prec@5 60.938 (58.890)
Epoch: [51][770/7045]	Time 0.389 (0.246)	Data 0.339 (0.187)	Loss 2.9233 (3.0272)	Prec@1 31.250 (29.917)	Prec@5 58.594 (58.877)
Epoch: [51][780/7045]	Time 0.103 (0.246)	Data 0.001 (0.186)	Loss 2.8132 (3.0265)	Prec@1 31.250 (29.940)	Prec@5 64.062 (58.899)
Epoch: [51][790/7045]	Time 0.624 (0.246)	Data 0.568 (0.187)	Loss 3.1037 (3.0264)	Prec@1 27.344 (29.936)	Prec@5 60.156 (58.915)
Epoch: [51][800/7045]	Time 0.111 (0.246)	Data 0.050 (0.186)	Loss 2.7477 (3.0265)	Prec@1 35.938 (29.922)	Prec@5 65.625 (58.906)
Epoch: [51][810/7045]	Time 0.457 (0.246)	Data 0.405 (0.186)	Loss 2.8922 (3.0257)	Prec@1 33.984 (29.952)	Prec@5 64.062 (58.915)
Epoch: [51][820/7045]	Time 0.102 (0.246)	Data 0.001 (0.186)	Loss 3.0868 (3.0260)	Prec@1 26.172 (29.949)	Prec@5 57.031 (58.909)
Epoch: [51][830/7045]	Time 0.400 (0.246)	Data 0.348 (0.186)	Loss 3.0748 (3.0263)	Prec@1 26.953 (29.945)	Prec@5 60.156 (58.897)
Epoch: [51][840/7045]	Time 0.103 (0.246)	Data 0.001 (0.186)	Loss 3.0223 (3.0257)	Prec@1 28.125 (29.945)	Prec@5 58.984 (58.914)
Epoch: [51][850/7045]	Time 0.141 (0.246)	Data 0.090 (0.186)	Loss 3.0088 (3.0265)	Prec@1 27.734 (29.926)	Prec@5 58.203 (58.899)
Epoch: [51][860/7045]	Time 0.111 (0.245)	Data 0.059 (0.185)	Loss 3.1588 (3.0268)	Prec@1 28.906 (29.915)	Prec@5 57.031 (58.898)
Epoch: [51][870/7045]	Time 0.104 (0.245)	Data 0.052 (0.185)	Loss 3.1009 (3.0274)	Prec@1 27.344 (29.896)	Prec@5 56.641 (58.883)
Epoch: [51][880/7045]	Time 0.109 (0.245)	Data 0.058 (0.185)	Loss 3.0311 (3.0274)	Prec@1 33.594 (29.899)	Prec@5 62.109 (58.888)
Epoch: [51][890/7045]	Time 0.460 (0.246)	Data 0.409 (0.186)	Loss 3.1192 (3.0280)	Prec@1 29.688 (29.894)	Prec@5 59.766 (58.882)
Epoch: [51][900/7045]	Time 0.101 (0.245)	Data 0.001 (0.185)	Loss 2.8413 (3.0278)	Prec@1 29.297 (29.896)	Prec@5 63.281 (58.885)
Epoch: [51][910/7045]	Time 0.357 (0.245)	Data 0.306 (0.185)	Loss 2.8461 (3.0269)	Prec@1 27.344 (29.901)	Prec@5 62.109 (58.905)
Epoch: [51][920/7045]	Time 0.222 (0.245)	Data 0.172 (0.185)	Loss 3.0513 (3.0269)	Prec@1 30.469 (29.894)	Prec@5 58.203 (58.909)
Epoch: [51][930/7045]	Time 0.383 (0.245)	Data 0.331 (0.185)	Loss 3.1223 (3.0263)	Prec@1 34.375 (29.921)	Prec@5 57.422 (58.907)
Epoch: [51][940/7045]	Time 0.257 (0.245)	Data 0.206 (0.185)	Loss 2.9397 (3.0266)	Prec@1 29.688 (29.917)	Prec@5 57.422 (58.892)
Epoch: [51][950/7045]	Time 0.276 (0.245)	Data 0.225 (0.185)	Loss 3.0765 (3.0262)	Prec@1 33.594 (29.935)	Prec@5 61.328 (58.908)
Epoch: [51][960/7045]	Time 0.189 (0.245)	Data 0.136 (0.185)	Loss 2.9955 (3.0253)	Prec@1 31.250 (29.947)	Prec@5 58.594 (58.929)
Epoch: [51][970/7045]	Time 0.102 (0.245)	Data 0.004 (0.185)	Loss 2.9628 (3.0253)	Prec@1 32.031 (29.959)	Prec@5 57.812 (58.931)
Epoch: [51][980/7045]	Time 0.108 (0.245)	Data 0.056 (0.185)	Loss 3.2681 (3.0259)	Prec@1 29.297 (29.959)	Prec@5 52.734 (58.917)
Epoch: [51][990/7045]	Time 0.197 (0.245)	Data 0.146 (0.185)	Loss 2.9707 (3.0259)	Prec@1 36.328 (29.967)	Prec@5 57.812 (58.906)
Epoch: [51][1000/7045]	Time 0.097 (0.245)	Data 0.045 (0.185)	Loss 3.1170 (3.0262)	Prec@1 28.516 (29.961)	Prec@5 55.469 (58.906)
Epoch: [51][1010/7045]	Time 0.569 (0.245)	Data 0.518 (0.185)	Loss 3.1119 (3.0267)	Prec@1 28.125 (29.952)	Prec@5 60.547 (58.898)
Epoch: [51][1020/7045]	Time 0.102 (0.245)	Data 0.001 (0.185)	Loss 2.7662 (3.0262)	Prec@1 28.906 (29.956)	Prec@5 65.625 (58.904)
Epoch: [51][1030/7045]	Time 0.542 (0.245)	Data 0.490 (0.185)	Loss 3.1319 (3.0260)	Prec@1 26.172 (29.960)	Prec@5 57.031 (58.912)
Epoch: [51][1040/7045]	Time 0.193 (0.245)	Data 0.142 (0.185)	Loss 3.0373 (3.0256)	Prec@1 26.953 (29.954)	Prec@5 61.328 (58.921)
Epoch: [51][1050/7045]	Time 0.492 (0.245)	Data 0.442 (0.185)	Loss 2.8004 (3.0262)	Prec@1 35.547 (29.953)	Prec@5 61.719 (58.906)
Epoch: [51][1060/7045]	Time 0.272 (0.245)	Data 0.220 (0.185)	Loss 3.1159 (3.0261)	Prec@1 28.125 (29.961)	Prec@5 56.250 (58.899)
Epoch: [51][1070/7045]	Time 0.398 (0.245)	Data 0.346 (0.185)	Loss 2.8596 (3.0259)	Prec@1 31.250 (29.964)	Prec@5 64.453 (58.906)
Epoch: [51][1080/7045]	Time 0.268 (0.245)	Data 0.217 (0.185)	Loss 3.1681 (3.0264)	Prec@1 28.516 (29.966)	Prec@5 57.422 (58.900)
Epoch: [51][1090/7045]	Time 0.214 (0.245)	Data 0.163 (0.185)	Loss 3.1165 (3.0267)	Prec@1 25.781 (29.972)	Prec@5 58.594 (58.900)
Epoch: [51][1100/7045]	Time 0.201 (0.245)	Data 0.151 (0.185)	Loss 3.0832 (3.0267)	Prec@1 26.953 (29.964)	Prec@5 58.984 (58.899)
Epoch: [51][1110/7045]	Time 0.175 (0.245)	Data 0.125 (0.185)	Loss 2.8842 (3.0268)	Prec@1 28.906 (29.958)	Prec@5 61.719 (58.902)
Epoch: [51][1120/7045]	Time 0.143 (0.245)	Data 0.092 (0.185)	Loss 3.1762 (3.0266)	Prec@1 27.734 (29.963)	Prec@5 53.906 (58.902)
Epoch: [51][1130/7045]	Time 0.102 (0.245)	Data 0.050 (0.185)	Loss 2.8895 (3.0264)	Prec@1 30.078 (29.967)	Prec@5 60.156 (58.899)
Epoch: [51][1140/7045]	Time 0.121 (0.244)	Data 0.069 (0.185)	Loss 3.0919 (3.0271)	Prec@1 30.469 (29.962)	Prec@5 55.859 (58.884)
Epoch: [51][1150/7045]	Time 0.111 (0.244)	Data 0.060 (0.185)	Loss 3.0391 (3.0270)	Prec@1 27.734 (29.960)	Prec@5 57.812 (58.887)
Epoch: [51][1160/7045]	Time 0.116 (0.244)	Data 0.065 (0.185)	Loss 3.2906 (3.0278)	Prec@1 25.781 (29.939)	Prec@5 55.078 (58.872)
Epoch: [51][1170/7045]	Time 0.207 (0.244)	Data 0.157 (0.185)	Loss 2.9174 (3.0284)	Prec@1 32.422 (29.924)	Prec@5 61.328 (58.858)
Epoch: [51][1180/7045]	Time 0.109 (0.244)	Data 0.058 (0.185)	Loss 3.0172 (3.0284)	Prec@1 28.906 (29.925)	Prec@5 55.078 (58.858)
Epoch: [51][1190/7045]	Time 0.328 (0.244)	Data 0.268 (0.185)	Loss 3.1464 (3.0285)	Prec@1 28.125 (29.920)	Prec@5 54.688 (58.858)
Epoch: [51][1200/7045]	Time 0.105 (0.244)	Data 0.053 (0.185)	Loss 2.9430 (3.0287)	Prec@1 31.641 (29.918)	Prec@5 58.984 (58.860)
Epoch: [51][1210/7045]	Time 0.284 (0.244)	Data 0.228 (0.185)	Loss 3.2355 (3.0285)	Prec@1 29.688 (29.929)	Prec@5 57.031 (58.865)
Epoch: [51][1220/7045]	Time 0.102 (0.244)	Data 0.004 (0.185)	Loss 2.9992 (3.0282)	Prec@1 33.203 (29.935)	Prec@5 61.719 (58.873)
Epoch: [51][1230/7045]	Time 0.373 (0.244)	Data 0.321 (0.185)	Loss 2.9201 (3.0283)	Prec@1 26.953 (29.925)	Prec@5 57.812 (58.862)
Epoch: [51][1240/7045]	Time 0.103 (0.244)	Data 0.001 (0.185)	Loss 3.0216 (3.0280)	Prec@1 31.641 (29.934)	Prec@5 57.812 (58.858)
Epoch: [51][1250/7045]	Time 0.315 (0.244)	Data 0.264 (0.185)	Loss 2.8916 (3.0280)	Prec@1 31.250 (29.935)	Prec@5 58.984 (58.857)
Epoch: [51][1260/7045]	Time 0.212 (0.244)	Data 0.161 (0.185)	Loss 2.9971 (3.0282)	Prec@1 31.250 (29.935)	Prec@5 59.375 (58.844)
Epoch: [51][1270/7045]	Time 0.292 (0.244)	Data 0.238 (0.185)	Loss 2.9638 (3.0283)	Prec@1 32.422 (29.932)	Prec@5 60.547 (58.853)
Epoch: [51][1280/7045]	Time 0.189 (0.244)	Data 0.138 (0.185)	Loss 3.0604 (3.0282)	Prec@1 26.172 (29.932)	Prec@5 57.031 (58.851)
Epoch: [51][1290/7045]	Time 0.263 (0.244)	Data 0.212 (0.185)	Loss 3.0686 (3.0287)	Prec@1 26.172 (29.926)	Prec@5 59.375 (58.836)
Epoch: [51][1300/7045]	Time 0.130 (0.244)	Data 0.079 (0.185)	Loss 2.9977 (3.0289)	Prec@1 31.250 (29.923)	Prec@5 59.375 (58.833)
Epoch: [51][1310/7045]	Time 0.356 (0.244)	Data 0.304 (0.185)	Loss 3.0668 (3.0287)	Prec@1 30.078 (29.919)	Prec@5 59.375 (58.843)
Epoch: [51][1320/7045]	Time 0.121 (0.244)	Data 0.069 (0.185)	Loss 3.2288 (3.0288)	Prec@1 27.734 (29.917)	Prec@5 54.688 (58.838)
Epoch: [51][1330/7045]	Time 0.231 (0.244)	Data 0.180 (0.185)	Loss 3.0666 (3.0289)	Prec@1 27.344 (29.909)	Prec@5 59.375 (58.842)
Epoch: [51][1340/7045]	Time 0.136 (0.244)	Data 0.085 (0.185)	Loss 2.8200 (3.0290)	Prec@1 34.766 (29.901)	Prec@5 64.844 (58.839)
Epoch: [51][1350/7045]	Time 0.234 (0.244)	Data 0.181 (0.185)	Loss 2.9639 (3.0290)	Prec@1 35.156 (29.902)	Prec@5 61.328 (58.839)
Epoch: [51][1360/7045]	Time 0.184 (0.244)	Data 0.133 (0.184)	Loss 2.8745 (3.0288)	Prec@1 32.812 (29.902)	Prec@5 64.844 (58.849)
Epoch: [51][1370/7045]	Time 0.235 (0.244)	Data 0.179 (0.185)	Loss 2.9826 (3.0293)	Prec@1 33.984 (29.889)	Prec@5 59.766 (58.831)
Epoch: [51][1380/7045]	Time 0.188 (0.244)	Data 0.138 (0.184)	Loss 3.0762 (3.0294)	Prec@1 30.469 (29.891)	Prec@5 58.203 (58.824)
Epoch: [51][1390/7045]	Time 0.226 (0.244)	Data 0.174 (0.185)	Loss 3.0156 (3.0294)	Prec@1 29.688 (29.892)	Prec@5 60.938 (58.826)
Epoch: [51][1400/7045]	Time 0.249 (0.244)	Data 0.199 (0.184)	Loss 3.0164 (3.0294)	Prec@1 30.859 (29.893)	Prec@5 62.500 (58.825)
Epoch: [51][1410/7045]	Time 0.277 (0.244)	Data 0.225 (0.184)	Loss 3.1226 (3.0299)	Prec@1 26.953 (29.877)	Prec@5 55.469 (58.814)
Epoch: [51][1420/7045]	Time 0.570 (0.244)	Data 0.519 (0.185)	Loss 3.0736 (3.0299)	Prec@1 30.469 (29.874)	Prec@5 58.203 (58.815)
Epoch: [51][1430/7045]	Time 0.178 (0.244)	Data 0.122 (0.184)	Loss 3.0048 (3.0297)	Prec@1 31.641 (29.872)	Prec@5 58.984 (58.815)
Epoch: [51][1440/7045]	Time 0.474 (0.244)	Data 0.424 (0.184)	Loss 3.2516 (3.0298)	Prec@1 29.688 (29.872)	Prec@5 55.469 (58.811)
Epoch: [51][1450/7045]	Time 0.101 (0.244)	Data 0.047 (0.184)	Loss 2.9602 (3.0300)	Prec@1 30.469 (29.870)	Prec@5 60.938 (58.801)
Epoch: [51][1460/7045]	Time 0.379 (0.244)	Data 0.329 (0.184)	Loss 2.8623 (3.0301)	Prec@1 30.859 (29.872)	Prec@5 62.500 (58.801)
Epoch: [51][1470/7045]	Time 0.263 (0.244)	Data 0.212 (0.184)	Loss 2.9177 (3.0300)	Prec@1 31.641 (29.872)	Prec@5 57.422 (58.807)
Epoch: [51][1480/7045]	Time 0.223 (0.244)	Data 0.173 (0.184)	Loss 3.0464 (3.0300)	Prec@1 27.344 (29.871)	Prec@5 57.812 (58.809)
Epoch: [51][1490/7045]	Time 0.272 (0.244)	Data 0.221 (0.184)	Loss 3.0635 (3.0297)	Prec@1 30.859 (29.876)	Prec@5 52.734 (58.806)
Epoch: [51][1500/7045]	Time 0.109 (0.244)	Data 0.051 (0.184)	Loss 3.0128 (3.0294)	Prec@1 27.734 (29.881)	Prec@5 63.281 (58.806)
Epoch: [51][1510/7045]	Time 0.224 (0.244)	Data 0.173 (0.184)	Loss 3.0917 (3.0299)	Prec@1 27.734 (29.872)	Prec@5 57.422 (58.795)
Epoch: [51][1520/7045]	Time 0.102 (0.244)	Data 0.001 (0.184)	Loss 3.0772 (3.0294)	Prec@1 28.125 (29.877)	Prec@5 58.984 (58.799)
Epoch: [51][1530/7045]	Time 0.159 (0.243)	Data 0.108 (0.184)	Loss 2.7427 (3.0291)	Prec@1 36.719 (29.881)	Prec@5 64.062 (58.806)
Epoch: [51][1540/7045]	Time 0.102 (0.244)	Data 0.006 (0.184)	Loss 2.9497 (3.0292)	Prec@1 32.422 (29.878)	Prec@5 61.719 (58.805)
Epoch: [51][1550/7045]	Time 0.104 (0.243)	Data 0.045 (0.184)	Loss 3.0361 (3.0292)	Prec@1 26.953 (29.870)	Prec@5 60.547 (58.816)
Epoch: [51][1560/7045]	Time 0.102 (0.244)	Data 0.004 (0.184)	Loss 2.7860 (3.0292)	Prec@1 35.938 (29.870)	Prec@5 62.891 (58.813)
Epoch: [51][1570/7045]	Time 0.345 (0.244)	Data 0.294 (0.184)	Loss 2.8805 (3.0292)	Prec@1 33.203 (29.864)	Prec@5 61.328 (58.812)
Epoch: [51][1580/7045]	Time 0.106 (0.244)	Data 0.001 (0.184)	Loss 2.9389 (3.0289)	Prec@1 33.984 (29.869)	Prec@5 59.766 (58.818)
Epoch: [51][1590/7045]	Time 0.594 (0.244)	Data 0.542 (0.184)	Loss 2.9243 (3.0287)	Prec@1 30.859 (29.874)	Prec@5 59.766 (58.828)
Epoch: [51][1600/7045]	Time 0.108 (0.243)	Data 0.001 (0.184)	Loss 2.8282 (3.0287)	Prec@1 33.984 (29.876)	Prec@5 63.281 (58.830)
Epoch: [51][1610/7045]	Time 0.728 (0.244)	Data 0.676 (0.184)	Loss 2.8878 (3.0284)	Prec@1 31.250 (29.873)	Prec@5 59.766 (58.830)
Epoch: [51][1620/7045]	Time 0.103 (0.243)	Data 0.052 (0.184)	Loss 3.0594 (3.0285)	Prec@1 27.734 (29.873)	Prec@5 59.766 (58.828)
Epoch: [51][1630/7045]	Time 0.636 (0.244)	Data 0.584 (0.184)	Loss 3.0466 (3.0285)	Prec@1 30.469 (29.874)	Prec@5 60.156 (58.828)
Epoch: [51][1640/7045]	Time 0.108 (0.243)	Data 0.048 (0.183)	Loss 3.0370 (3.0286)	Prec@1 32.031 (29.875)	Prec@5 58.594 (58.826)
Epoch: [51][1650/7045]	Time 0.535 (0.244)	Data 0.475 (0.183)	Loss 3.0134 (3.0290)	Prec@1 28.125 (29.866)	Prec@5 58.203 (58.818)
Epoch: [51][1660/7045]	Time 0.221 (0.243)	Data 0.170 (0.183)	Loss 3.0302 (3.0291)	Prec@1 26.172 (29.859)	Prec@5 58.594 (58.824)
Epoch: [51][1670/7045]	Time 0.553 (0.244)	Data 0.503 (0.183)	Loss 3.2366 (3.0289)	Prec@1 29.297 (29.864)	Prec@5 49.609 (58.823)
Epoch: [51][1680/7045]	Time 0.361 (0.243)	Data 0.310 (0.183)	Loss 2.9567 (3.0291)	Prec@1 30.469 (29.862)	Prec@5 60.156 (58.820)
Epoch: [51][1690/7045]	Time 0.391 (0.243)	Data 0.339 (0.183)	Loss 3.2060 (3.0294)	Prec@1 27.344 (29.854)	Prec@5 52.734 (58.811)
Epoch: [51][1700/7045]	Time 0.353 (0.243)	Data 0.302 (0.183)	Loss 2.9407 (3.0294)	Prec@1 31.250 (29.852)	Prec@5 63.281 (58.805)
Epoch: [51][1710/7045]	Time 0.188 (0.243)	Data 0.138 (0.183)	Loss 2.9936 (3.0295)	Prec@1 29.297 (29.849)	Prec@5 62.891 (58.807)
Epoch: [51][1720/7045]	Time 0.439 (0.243)	Data 0.387 (0.183)	Loss 2.9863 (3.0298)	Prec@1 28.125 (29.846)	Prec@5 62.500 (58.809)
Epoch: [51][1730/7045]	Time 0.109 (0.243)	Data 0.058 (0.183)	Loss 2.9770 (3.0295)	Prec@1 30.859 (29.847)	Prec@5 60.547 (58.811)
Epoch: [51][1740/7045]	Time 0.355 (0.243)	Data 0.305 (0.183)	Loss 2.8595 (3.0295)	Prec@1 32.422 (29.847)	Prec@5 60.156 (58.809)
Epoch: [51][1750/7045]	Time 0.132 (0.243)	Data 0.081 (0.183)	Loss 3.1743 (3.0294)	Prec@1 25.781 (29.848)	Prec@5 56.250 (58.816)
Epoch: [51][1760/7045]	Time 0.338 (0.243)	Data 0.287 (0.183)	Loss 3.1318 (3.0293)	Prec@1 28.125 (29.852)	Prec@5 55.078 (58.819)
Epoch: [51][1770/7045]	Time 0.116 (0.243)	Data 0.065 (0.183)	Loss 3.1129 (3.0294)	Prec@1 28.125 (29.845)	Prec@5 56.641 (58.818)
Epoch: [51][1780/7045]	Time 0.102 (0.243)	Data 0.049 (0.183)	Loss 3.0789 (3.0293)	Prec@1 28.906 (29.848)	Prec@5 56.641 (58.814)
Epoch: [51][1790/7045]	Time 0.102 (0.243)	Data 0.001 (0.183)	Loss 3.0850 (3.0293)	Prec@1 28.516 (29.844)	Prec@5 57.422 (58.809)
Epoch: [51][1800/7045]	Time 0.114 (0.243)	Data 0.062 (0.183)	Loss 3.0147 (3.0294)	Prec@1 29.688 (29.837)	Prec@5 58.594 (58.804)
Epoch: [51][1810/7045]	Time 0.102 (0.243)	Data 0.001 (0.183)	Loss 2.9942 (3.0297)	Prec@1 28.516 (29.839)	Prec@5 61.719 (58.799)
Epoch: [51][1820/7045]	Time 0.204 (0.243)	Data 0.147 (0.183)	Loss 2.8237 (3.0298)	Prec@1 35.156 (29.834)	Prec@5 64.844 (58.803)
Epoch: [51][1830/7045]	Time 0.292 (0.243)	Data 0.241 (0.183)	Loss 3.0297 (3.0299)	Prec@1 30.078 (29.830)	Prec@5 60.547 (58.802)
Epoch: [51][1840/7045]	Time 0.211 (0.243)	Data 0.160 (0.183)	Loss 2.6404 (3.0301)	Prec@1 35.156 (29.825)	Prec@5 67.188 (58.796)
Epoch: [51][1850/7045]	Time 0.492 (0.243)	Data 0.441 (0.183)	Loss 2.8327 (3.0302)	Prec@1 33.203 (29.823)	Prec@5 64.062 (58.789)
Epoch: [51][1860/7045]	Time 0.102 (0.243)	Data 0.043 (0.183)	Loss 3.1299 (3.0303)	Prec@1 25.000 (29.815)	Prec@5 56.641 (58.785)
Epoch: [51][1870/7045]	Time 0.505 (0.243)	Data 0.453 (0.183)	Loss 3.0191 (3.0300)	Prec@1 28.516 (29.822)	Prec@5 61.719 (58.791)
Epoch: [51][1880/7045]	Time 0.123 (0.243)	Data 0.072 (0.183)	Loss 3.1391 (3.0300)	Prec@1 27.344 (29.826)	Prec@5 57.422 (58.790)
Epoch: [51][1890/7045]	Time 0.345 (0.243)	Data 0.294 (0.183)	Loss 3.0522 (3.0299)	Prec@1 31.641 (29.831)	Prec@5 56.250 (58.796)
Epoch: [51][1900/7045]	Time 0.247 (0.243)	Data 0.195 (0.183)	Loss 3.0450 (3.0295)	Prec@1 31.641 (29.838)	Prec@5 60.156 (58.801)
Epoch: [51][1910/7045]	Time 0.234 (0.243)	Data 0.184 (0.183)	Loss 3.1525 (3.0297)	Prec@1 29.297 (29.833)	Prec@5 54.688 (58.794)
Epoch: [51][1920/7045]	Time 0.216 (0.243)	Data 0.165 (0.183)	Loss 3.0631 (3.0300)	Prec@1 30.078 (29.829)	Prec@5 59.375 (58.785)
Epoch: [51][1930/7045]	Time 0.108 (0.243)	Data 0.055 (0.183)	Loss 3.3185 (3.0303)	Prec@1 23.438 (29.827)	Prec@5 50.391 (58.778)
Epoch: [51][1940/7045]	Time 0.189 (0.243)	Data 0.138 (0.183)	Loss 3.1670 (3.0304)	Prec@1 25.000 (29.822)	Prec@5 59.766 (58.776)
Epoch: [51][1950/7045]	Time 0.203 (0.243)	Data 0.151 (0.183)	Loss 3.0258 (3.0306)	Prec@1 31.641 (29.818)	Prec@5 59.766 (58.772)
Epoch: [51][1960/7045]	Time 0.102 (0.243)	Data 0.043 (0.183)	Loss 3.0082 (3.0305)	Prec@1 27.344 (29.818)	Prec@5 59.766 (58.778)
Epoch: [51][1970/7045]	Time 0.232 (0.243)	Data 0.181 (0.183)	Loss 2.8779 (3.0302)	Prec@1 33.203 (29.819)	Prec@5 61.328 (58.787)
Epoch: [51][1980/7045]	Time 0.101 (0.243)	Data 0.001 (0.183)	Loss 3.2814 (3.0301)	Prec@1 26.172 (29.820)	Prec@5 55.078 (58.792)
Epoch: [51][1990/7045]	Time 0.203 (0.243)	Data 0.153 (0.183)	Loss 2.9759 (3.0301)	Prec@1 28.906 (29.820)	Prec@5 62.109 (58.792)
Epoch: [51][2000/7045]	Time 0.142 (0.243)	Data 0.090 (0.183)	Loss 3.1214 (3.0302)	Prec@1 26.562 (29.815)	Prec@5 55.078 (58.792)
Epoch: [51][2010/7045]	Time 0.119 (0.243)	Data 0.065 (0.183)	Loss 3.0185 (3.0305)	Prec@1 28.516 (29.811)	Prec@5 54.297 (58.784)
Epoch: [51][2020/7045]	Time 0.147 (0.243)	Data 0.097 (0.183)	Loss 3.2760 (3.0305)	Prec@1 28.516 (29.816)	Prec@5 53.906 (58.780)
Epoch: [51][2030/7045]	Time 0.101 (0.243)	Data 0.003 (0.183)	Loss 2.9661 (3.0306)	Prec@1 31.250 (29.818)	Prec@5 58.984 (58.781)
Epoch: [51][2040/7045]	Time 0.136 (0.243)	Data 0.084 (0.183)	Loss 2.9042 (3.0304)	Prec@1 32.812 (29.825)	Prec@5 60.938 (58.787)
Epoch: [51][2050/7045]	Time 0.103 (0.243)	Data 0.015 (0.183)	Loss 2.8711 (3.0305)	Prec@1 34.375 (29.826)	Prec@5 64.844 (58.785)
Epoch: [51][2060/7045]	Time 0.113 (0.243)	Data 0.061 (0.183)	Loss 3.0062 (3.0305)	Prec@1 32.031 (29.823)	Prec@5 56.250 (58.785)
Epoch: [51][2070/7045]	Time 0.106 (0.243)	Data 0.055 (0.183)	Loss 2.9815 (3.0301)	Prec@1 30.859 (29.827)	Prec@5 59.766 (58.791)
Epoch: [51][2080/7045]	Time 0.173 (0.243)	Data 0.122 (0.183)	Loss 3.0196 (3.0302)	Prec@1 32.812 (29.828)	Prec@5 57.031 (58.790)
Epoch: [51][2090/7045]	Time 0.107 (0.243)	Data 0.054 (0.183)	Loss 3.2589 (3.0302)	Prec@1 26.953 (29.830)	Prec@5 55.859 (58.785)
Epoch: [51][2100/7045]	Time 0.107 (0.243)	Data 0.055 (0.183)	Loss 3.0740 (3.0301)	Prec@1 28.906 (29.831)	Prec@5 57.422 (58.784)
Epoch: [51][2110/7045]	Time 0.101 (0.243)	Data 0.007 (0.183)	Loss 3.0963 (3.0300)	Prec@1 28.906 (29.833)	Prec@5 57.812 (58.787)
Epoch: [51][2120/7045]	Time 0.112 (0.243)	Data 0.061 (0.183)	Loss 2.8258 (3.0300)	Prec@1 32.422 (29.834)	Prec@5 60.156 (58.786)
Epoch: [51][2130/7045]	Time 0.102 (0.243)	Data 0.003 (0.183)	Loss 3.1574 (3.0301)	Prec@1 26.562 (29.835)	Prec@5 53.906 (58.784)
Epoch: [51][2140/7045]	Time 0.102 (0.243)	Data 0.004 (0.183)	Loss 3.0341 (3.0298)	Prec@1 29.688 (29.840)	Prec@5 57.422 (58.785)
Epoch: [51][2150/7045]	Time 0.101 (0.243)	Data 0.006 (0.183)	Loss 2.9625 (3.0297)	Prec@1 30.859 (29.841)	Prec@5 57.031 (58.783)
Epoch: [51][2160/7045]	Time 0.102 (0.243)	Data 0.001 (0.183)	Loss 3.2288 (3.0297)	Prec@1 24.219 (29.836)	Prec@5 53.516 (58.781)
Epoch: [51][2170/7045]	Time 0.102 (0.243)	Data 0.048 (0.183)	Loss 2.7634 (3.0295)	Prec@1 34.766 (29.836)	Prec@5 65.625 (58.788)
Epoch: [51][2180/7045]	Time 0.100 (0.243)	Data 0.002 (0.183)	Loss 3.0902 (3.0296)	Prec@1 27.734 (29.835)	Prec@5 59.766 (58.790)
Epoch: [51][2190/7045]	Time 0.107 (0.243)	Data 0.054 (0.183)	Loss 3.0710 (3.0298)	Prec@1 28.516 (29.831)	Prec@5 58.594 (58.786)
Epoch: [51][2200/7045]	Time 0.101 (0.243)	Data 0.001 (0.183)	Loss 2.8237 (3.0296)	Prec@1 33.594 (29.836)	Prec@5 61.719 (58.790)
Epoch: [51][2210/7045]	Time 0.102 (0.243)	Data 0.043 (0.182)	Loss 2.9684 (3.0297)	Prec@1 31.641 (29.835)	Prec@5 63.281 (58.796)
Epoch: [51][2220/7045]	Time 0.102 (0.243)	Data 0.008 (0.182)	Loss 3.0187 (3.0296)	Prec@1 31.250 (29.838)	Prec@5 59.766 (58.799)
Epoch: [51][2230/7045]	Time 0.102 (0.243)	Data 0.050 (0.182)	Loss 2.9100 (3.0295)	Prec@1 32.422 (29.837)	Prec@5 64.844 (58.801)
Epoch: [51][2240/7045]	Time 0.101 (0.243)	Data 0.046 (0.182)	Loss 3.0366 (3.0297)	Prec@1 27.344 (29.830)	Prec@5 61.328 (58.799)
Epoch: [51][2250/7045]	Time 0.102 (0.243)	Data 0.046 (0.182)	Loss 3.0696 (3.0300)	Prec@1 26.172 (29.825)	Prec@5 57.812 (58.795)
Epoch: [51][2260/7045]	Time 0.101 (0.243)	Data 0.044 (0.182)	Loss 3.0902 (3.0301)	Prec@1 25.391 (29.821)	Prec@5 60.938 (58.793)
Epoch: [51][2270/7045]	Time 0.163 (0.243)	Data 0.111 (0.182)	Loss 3.1317 (3.0303)	Prec@1 26.562 (29.819)	Prec@5 57.812 (58.793)
Epoch: [51][2280/7045]	Time 0.109 (0.243)	Data 0.001 (0.182)	Loss 2.9161 (3.0304)	Prec@1 32.422 (29.815)	Prec@5 63.672 (58.790)
Epoch: [51][2290/7045]	Time 0.145 (0.243)	Data 0.094 (0.182)	Loss 3.3665 (3.0307)	Prec@1 24.219 (29.813)	Prec@5 48.438 (58.779)
Epoch: [51][2300/7045]	Time 0.101 (0.243)	Data 0.006 (0.182)	Loss 3.0033 (3.0306)	Prec@1 30.078 (29.812)	Prec@5 58.984 (58.778)
Epoch: [51][2310/7045]	Time 0.141 (0.243)	Data 0.088 (0.182)	Loss 3.0399 (3.0304)	Prec@1 30.078 (29.821)	Prec@5 58.203 (58.785)
Epoch: [51][2320/7045]	Time 0.099 (0.243)	Data 0.047 (0.182)	Loss 3.1078 (3.0306)	Prec@1 28.516 (29.819)	Prec@5 58.594 (58.784)
Epoch: [51][2330/7045]	Time 0.123 (0.242)	Data 0.072 (0.182)	Loss 3.0010 (3.0306)	Prec@1 31.250 (29.819)	Prec@5 58.203 (58.783)
Epoch: [51][2340/7045]	Time 0.106 (0.243)	Data 0.020 (0.182)	Loss 2.9471 (3.0310)	Prec@1 32.812 (29.814)	Prec@5 59.375 (58.777)
Epoch: [51][2350/7045]	Time 0.142 (0.242)	Data 0.091 (0.182)	Loss 3.2371 (3.0309)	Prec@1 26.172 (29.816)	Prec@5 53.125 (58.776)
Epoch: [51][2360/7045]	Time 0.107 (0.243)	Data 0.007 (0.182)	Loss 2.9833 (3.0309)	Prec@1 32.422 (29.821)	Prec@5 59.375 (58.775)
Epoch: [51][2370/7045]	Time 0.259 (0.243)	Data 0.207 (0.182)	Loss 2.8638 (3.0310)	Prec@1 33.984 (29.817)	Prec@5 62.109 (58.774)
Epoch: [51][2380/7045]	Time 0.164 (0.243)	Data 0.114 (0.182)	Loss 3.0698 (3.0309)	Prec@1 27.344 (29.821)	Prec@5 59.375 (58.780)
Epoch: [51][2390/7045]	Time 0.345 (0.242)	Data 0.293 (0.182)	Loss 3.0674 (3.0309)	Prec@1 29.297 (29.819)	Prec@5 55.859 (58.776)
Epoch: [51][2400/7045]	Time 0.101 (0.243)	Data 0.002 (0.182)	Loss 3.2873 (3.0309)	Prec@1 26.172 (29.815)	Prec@5 53.906 (58.776)
Epoch: [51][2410/7045]	Time 0.256 (0.243)	Data 0.200 (0.182)	Loss 3.1395 (3.0308)	Prec@1 26.953 (29.813)	Prec@5 55.469 (58.776)
Epoch: [51][2420/7045]	Time 0.102 (0.242)	Data 0.012 (0.182)	Loss 2.9781 (3.0308)	Prec@1 32.031 (29.816)	Prec@5 62.500 (58.780)
Epoch: [51][2430/7045]	Time 0.102 (0.243)	Data 0.001 (0.182)	Loss 3.0943 (3.0308)	Prec@1 30.469 (29.816)	Prec@5 60.547 (58.780)
Epoch: [51][2440/7045]	Time 0.102 (0.242)	Data 0.002 (0.182)	Loss 3.0938 (3.0309)	Prec@1 32.031 (29.816)	Prec@5 59.375 (58.779)
Epoch: [51][2450/7045]	Time 0.301 (0.243)	Data 0.252 (0.182)	Loss 2.9696 (3.0309)	Prec@1 32.422 (29.821)	Prec@5 59.375 (58.780)
Epoch: [51][2460/7045]	Time 0.170 (0.242)	Data 0.118 (0.182)	Loss 3.0693 (3.0310)	Prec@1 32.422 (29.825)	Prec@5 55.859 (58.775)
Epoch: [51][2470/7045]	Time 0.283 (0.243)	Data 0.228 (0.182)	Loss 2.9862 (3.0311)	Prec@1 27.734 (29.819)	Prec@5 60.938 (58.775)
Epoch: [51][2480/7045]	Time 0.489 (0.243)	Data 0.437 (0.182)	Loss 3.0696 (3.0311)	Prec@1 33.594 (29.820)	Prec@5 62.109 (58.779)
Epoch: [51][2490/7045]	Time 0.187 (0.243)	Data 0.130 (0.182)	Loss 3.1100 (3.0316)	Prec@1 25.781 (29.813)	Prec@5 55.078 (58.773)
Epoch: [51][2500/7045]	Time 0.565 (0.243)	Data 0.514 (0.182)	Loss 2.9794 (3.0316)	Prec@1 33.594 (29.815)	Prec@5 58.203 (58.776)
Epoch: [51][2510/7045]	Time 0.178 (0.242)	Data 0.120 (0.182)	Loss 3.1707 (3.0314)	Prec@1 28.125 (29.815)	Prec@5 56.250 (58.779)
Epoch: [51][2520/7045]	Time 0.576 (0.243)	Data 0.519 (0.182)	Loss 2.9692 (3.0313)	Prec@1 32.031 (29.817)	Prec@5 58.984 (58.780)
Epoch: [51][2530/7045]	Time 0.107 (0.242)	Data 0.001 (0.182)	Loss 2.9789 (3.0313)	Prec@1 29.688 (29.818)	Prec@5 58.984 (58.778)
Epoch: [51][2540/7045]	Time 0.596 (0.243)	Data 0.545 (0.182)	Loss 3.1553 (3.0317)	Prec@1 29.297 (29.813)	Prec@5 57.031 (58.772)
Epoch: [51][2550/7045]	Time 0.101 (0.242)	Data 0.045 (0.182)	Loss 3.1589 (3.0318)	Prec@1 26.562 (29.813)	Prec@5 53.125 (58.766)
Epoch: [51][2560/7045]	Time 0.663 (0.243)	Data 0.610 (0.182)	Loss 3.1593 (3.0321)	Prec@1 29.297 (29.810)	Prec@5 55.859 (58.760)
Epoch: [51][2570/7045]	Time 0.109 (0.242)	Data 0.058 (0.182)	Loss 3.0691 (3.0320)	Prec@1 28.906 (29.806)	Prec@5 57.422 (58.764)
Epoch: [51][2580/7045]	Time 0.377 (0.243)	Data 0.325 (0.182)	Loss 3.1519 (3.0320)	Prec@1 27.344 (29.808)	Prec@5 58.984 (58.766)
Epoch: [51][2590/7045]	Time 0.152 (0.242)	Data 0.099 (0.182)	Loss 3.0496 (3.0322)	Prec@1 26.953 (29.805)	Prec@5 60.547 (58.763)
Epoch: [51][2600/7045]	Time 0.104 (0.242)	Data 0.047 (0.182)	Loss 2.8580 (3.0324)	Prec@1 35.547 (29.803)	Prec@5 63.281 (58.760)
Epoch: [51][2610/7045]	Time 0.108 (0.242)	Data 0.056 (0.182)	Loss 3.0805 (3.0327)	Prec@1 26.953 (29.801)	Prec@5 58.594 (58.755)
Epoch: [51][2620/7045]	Time 0.101 (0.242)	Data 0.001 (0.182)	Loss 2.9942 (3.0327)	Prec@1 31.250 (29.800)	Prec@5 59.766 (58.759)
Epoch: [51][2630/7045]	Time 0.124 (0.242)	Data 0.073 (0.181)	Loss 3.1256 (3.0325)	Prec@1 30.469 (29.804)	Prec@5 55.469 (58.760)
Epoch: [51][2640/7045]	Time 0.101 (0.242)	Data 0.005 (0.182)	Loss 3.1624 (3.0327)	Prec@1 26.172 (29.802)	Prec@5 55.469 (58.759)
Epoch: [51][2650/7045]	Time 0.129 (0.242)	Data 0.079 (0.181)	Loss 2.8506 (3.0329)	Prec@1 35.547 (29.800)	Prec@5 62.109 (58.756)
Epoch: [51][2660/7045]	Time 0.112 (0.242)	Data 0.060 (0.181)	Loss 3.1325 (3.0327)	Prec@1 28.516 (29.809)	Prec@5 57.422 (58.757)
Epoch: [51][2670/7045]	Time 0.368 (0.242)	Data 0.316 (0.182)	Loss 3.1301 (3.0327)	Prec@1 25.000 (29.807)	Prec@5 57.812 (58.757)
Epoch: [51][2680/7045]	Time 0.178 (0.242)	Data 0.127 (0.182)	Loss 3.0944 (3.0327)	Prec@1 27.734 (29.808)	Prec@5 60.156 (58.757)
Epoch: [51][2690/7045]	Time 0.516 (0.242)	Data 0.458 (0.182)	Loss 3.1155 (3.0329)	Prec@1 29.297 (29.807)	Prec@5 58.984 (58.752)
Epoch: [51][2700/7045]	Time 0.102 (0.242)	Data 0.005 (0.182)	Loss 3.0420 (3.0329)	Prec@1 26.953 (29.808)	Prec@5 58.984 (58.755)
Epoch: [51][2710/7045]	Time 0.444 (0.242)	Data 0.394 (0.182)	Loss 2.8316 (3.0329)	Prec@1 32.422 (29.806)	Prec@5 60.547 (58.749)
Epoch: [51][2720/7045]	Time 0.153 (0.242)	Data 0.102 (0.182)	Loss 3.2428 (3.0331)	Prec@1 24.609 (29.802)	Prec@5 55.078 (58.742)
Epoch: [51][2730/7045]	Time 0.361 (0.242)	Data 0.304 (0.182)	Loss 2.8685 (3.0331)	Prec@1 31.641 (29.802)	Prec@5 59.375 (58.744)
Epoch: [51][2740/7045]	Time 0.291 (0.242)	Data 0.240 (0.182)	Loss 3.1582 (3.0331)	Prec@1 24.219 (29.800)	Prec@5 55.859 (58.744)
Epoch: [51][2750/7045]	Time 0.137 (0.242)	Data 0.085 (0.182)	Loss 2.8829 (3.0330)	Prec@1 35.156 (29.803)	Prec@5 61.719 (58.747)
Epoch: [51][2760/7045]	Time 0.312 (0.242)	Data 0.261 (0.182)	Loss 2.8692 (3.0331)	Prec@1 29.688 (29.802)	Prec@5 64.453 (58.745)
Epoch: [51][2770/7045]	Time 0.109 (0.242)	Data 0.058 (0.182)	Loss 3.0194 (3.0331)	Prec@1 32.031 (29.805)	Prec@5 59.375 (58.743)
Epoch: [51][2780/7045]	Time 0.258 (0.242)	Data 0.206 (0.182)	Loss 3.1602 (3.0330)	Prec@1 24.219 (29.803)	Prec@5 55.859 (58.741)
Epoch: [51][2790/7045]	Time 0.354 (0.242)	Data 0.303 (0.182)	Loss 2.9242 (3.0330)	Prec@1 30.859 (29.804)	Prec@5 62.109 (58.746)
Epoch: [51][2800/7045]	Time 0.248 (0.242)	Data 0.195 (0.182)	Loss 3.1605 (3.0333)	Prec@1 27.734 (29.799)	Prec@5 56.250 (58.741)
Epoch: [51][2810/7045]	Time 0.346 (0.242)	Data 0.295 (0.182)	Loss 3.1057 (3.0334)	Prec@1 28.125 (29.791)	Prec@5 58.984 (58.740)
Epoch: [51][2820/7045]	Time 0.357 (0.242)	Data 0.306 (0.182)	Loss 3.0643 (3.0336)	Prec@1 27.734 (29.784)	Prec@5 57.812 (58.737)
Epoch: [51][2830/7045]	Time 0.317 (0.242)	Data 0.265 (0.182)	Loss 2.9209 (3.0336)	Prec@1 31.250 (29.782)	Prec@5 60.938 (58.734)
Epoch: [51][2840/7045]	Time 0.325 (0.242)	Data 0.273 (0.182)	Loss 3.0931 (3.0338)	Prec@1 32.031 (29.779)	Prec@5 59.766 (58.732)
Epoch: [51][2850/7045]	Time 0.472 (0.242)	Data 0.421 (0.182)	Loss 3.2266 (3.0339)	Prec@1 25.391 (29.776)	Prec@5 56.641 (58.730)
Epoch: [51][2860/7045]	Time 0.228 (0.242)	Data 0.178 (0.182)	Loss 3.2179 (3.0340)	Prec@1 26.172 (29.774)	Prec@5 53.516 (58.726)
Epoch: [51][2870/7045]	Time 0.505 (0.242)	Data 0.449 (0.182)	Loss 3.2254 (3.0340)	Prec@1 18.750 (29.772)	Prec@5 54.688 (58.725)
Epoch: [51][2880/7045]	Time 0.171 (0.242)	Data 0.114 (0.182)	Loss 3.2284 (3.0341)	Prec@1 25.391 (29.770)	Prec@5 55.469 (58.724)
Epoch: [51][2890/7045]	Time 0.581 (0.242)	Data 0.522 (0.182)	Loss 2.9018 (3.0339)	Prec@1 28.125 (29.770)	Prec@5 63.672 (58.729)
Epoch: [51][2900/7045]	Time 0.103 (0.242)	Data 0.051 (0.182)	Loss 2.9571 (3.0338)	Prec@1 31.250 (29.773)	Prec@5 60.156 (58.733)
Epoch: [51][2910/7045]	Time 0.533 (0.242)	Data 0.478 (0.182)	Loss 2.7521 (3.0336)	Prec@1 35.156 (29.774)	Prec@5 63.672 (58.734)
Epoch: [51][2920/7045]	Time 0.102 (0.242)	Data 0.007 (0.182)	Loss 3.1170 (3.0334)	Prec@1 25.000 (29.775)	Prec@5 53.516 (58.738)
Epoch: [51][2930/7045]	Time 0.422 (0.242)	Data 0.370 (0.182)	Loss 3.2322 (3.0334)	Prec@1 27.344 (29.775)	Prec@5 55.078 (58.740)
Epoch: [51][2940/7045]	Time 0.102 (0.242)	Data 0.046 (0.182)	Loss 3.1996 (3.0334)	Prec@1 23.438 (29.776)	Prec@5 53.125 (58.739)
Epoch: [51][2950/7045]	Time 0.110 (0.242)	Data 0.057 (0.182)	Loss 3.0297 (3.0333)	Prec@1 30.469 (29.777)	Prec@5 56.641 (58.741)
Epoch: [51][2960/7045]	Time 0.101 (0.242)	Data 0.001 (0.182)	Loss 3.0163 (3.0333)	Prec@1 33.984 (29.774)	Prec@5 58.203 (58.738)
Epoch: [51][2970/7045]	Time 0.214 (0.242)	Data 0.163 (0.182)	Loss 3.0528 (3.0333)	Prec@1 28.516 (29.774)	Prec@5 58.203 (58.739)
Epoch: [51][2980/7045]	Time 0.100 (0.242)	Data 0.001 (0.181)	Loss 2.8700 (3.0332)	Prec@1 32.422 (29.775)	Prec@5 67.578 (58.743)
Epoch: [51][2990/7045]	Time 0.129 (0.242)	Data 0.071 (0.182)	Loss 2.7902 (3.0331)	Prec@1 36.719 (29.781)	Prec@5 64.453 (58.746)
Epoch: [51][3000/7045]	Time 0.325 (0.242)	Data 0.274 (0.182)	Loss 3.0387 (3.0335)	Prec@1 25.391 (29.772)	Prec@5 58.594 (58.740)
Epoch: [51][3010/7045]	Time 0.101 (0.242)	Data 0.050 (0.182)	Loss 3.0561 (3.0334)	Prec@1 26.953 (29.769)	Prec@5 60.547 (58.743)
Epoch: [51][3020/7045]	Time 0.545 (0.242)	Data 0.494 (0.182)	Loss 3.0516 (3.0333)	Prec@1 30.078 (29.769)	Prec@5 55.469 (58.744)
Epoch: [51][3030/7045]	Time 0.101 (0.242)	Data 0.001 (0.182)	Loss 2.8954 (3.0332)	Prec@1 31.641 (29.772)	Prec@5 63.672 (58.747)
Epoch: [51][3040/7045]	Time 0.680 (0.242)	Data 0.629 (0.182)	Loss 3.1493 (3.0331)	Prec@1 28.125 (29.774)	Prec@5 56.250 (58.749)
Epoch: [51][3050/7045]	Time 0.108 (0.242)	Data 0.056 (0.181)	Loss 3.2312 (3.0332)	Prec@1 27.344 (29.771)	Prec@5 54.297 (58.747)
Epoch: [51][3060/7045]	Time 0.516 (0.242)	Data 0.464 (0.181)	Loss 2.9605 (3.0330)	Prec@1 31.641 (29.770)	Prec@5 59.766 (58.749)
Epoch: [51][3070/7045]	Time 0.108 (0.242)	Data 0.010 (0.181)	Loss 3.2860 (3.0331)	Prec@1 25.000 (29.765)	Prec@5 49.609 (58.747)
Epoch: [51][3080/7045]	Time 0.592 (0.242)	Data 0.540 (0.181)	Loss 3.0972 (3.0331)	Prec@1 26.172 (29.769)	Prec@5 57.031 (58.748)
Epoch: [51][3090/7045]	Time 0.102 (0.242)	Data 0.001 (0.181)	Loss 3.1429 (3.0332)	Prec@1 27.344 (29.765)	Prec@5 57.422 (58.750)
Epoch: [51][3100/7045]	Time 0.374 (0.242)	Data 0.323 (0.181)	Loss 3.1411 (3.0333)	Prec@1 28.906 (29.763)	Prec@5 54.688 (58.748)
Epoch: [51][3110/7045]	Time 0.102 (0.242)	Data 0.001 (0.181)	Loss 3.1132 (3.0333)	Prec@1 31.250 (29.765)	Prec@5 57.422 (58.750)
Epoch: [51][3120/7045]	Time 0.219 (0.242)	Data 0.162 (0.181)	Loss 2.8856 (3.0329)	Prec@1 26.562 (29.774)	Prec@5 65.625 (58.761)
Epoch: [51][3130/7045]	Time 0.102 (0.242)	Data 0.001 (0.181)	Loss 3.1021 (3.0328)	Prec@1 26.172 (29.773)	Prec@5 58.984 (58.763)
Epoch: [51][3140/7045]	Time 0.207 (0.242)	Data 0.155 (0.181)	Loss 3.0918 (3.0331)	Prec@1 30.859 (29.769)	Prec@5 59.375 (58.758)
Epoch: [51][3150/7045]	Time 0.102 (0.242)	Data 0.002 (0.181)	Loss 2.9684 (3.0331)	Prec@1 32.812 (29.768)	Prec@5 57.422 (58.755)
Epoch: [51][3160/7045]	Time 0.207 (0.242)	Data 0.149 (0.181)	Loss 2.7914 (3.0328)	Prec@1 31.250 (29.770)	Prec@5 64.062 (58.762)
Epoch: [51][3170/7045]	Time 0.102 (0.242)	Data 0.001 (0.181)	Loss 3.0061 (3.0327)	Prec@1 28.516 (29.773)	Prec@5 60.547 (58.768)
Epoch: [51][3180/7045]	Time 0.218 (0.242)	Data 0.166 (0.181)	Loss 2.9696 (3.0325)	Prec@1 32.812 (29.775)	Prec@5 59.375 (58.771)
Epoch: [51][3190/7045]	Time 0.111 (0.242)	Data 0.060 (0.181)	Loss 2.8934 (3.0327)	Prec@1 32.031 (29.772)	Prec@5 58.594 (58.766)
Epoch: [51][3200/7045]	Time 0.214 (0.242)	Data 0.163 (0.181)	Loss 3.1915 (3.0327)	Prec@1 26.562 (29.774)	Prec@5 53.125 (58.763)
Epoch: [51][3210/7045]	Time 0.104 (0.242)	Data 0.052 (0.181)	Loss 3.2991 (3.0329)	Prec@1 22.266 (29.774)	Prec@5 53.516 (58.761)
Epoch: [51][3220/7045]	Time 0.203 (0.242)	Data 0.152 (0.181)	Loss 2.8075 (3.0329)	Prec@1 32.422 (29.772)	Prec@5 62.891 (58.760)
Epoch: [51][3230/7045]	Time 0.102 (0.242)	Data 0.049 (0.181)	Loss 3.0700 (3.0330)	Prec@1 28.906 (29.775)	Prec@5 57.812 (58.759)
Epoch: [51][3240/7045]	Time 0.200 (0.242)	Data 0.143 (0.181)	Loss 2.8955 (3.0331)	Prec@1 34.375 (29.775)	Prec@5 64.062 (58.758)
Epoch: [51][3250/7045]	Time 0.102 (0.242)	Data 0.001 (0.181)	Loss 3.0837 (3.0332)	Prec@1 27.734 (29.772)	Prec@5 55.469 (58.755)
Epoch: [51][3260/7045]	Time 0.109 (0.242)	Data 0.001 (0.181)	Loss 3.0965 (3.0332)	Prec@1 29.688 (29.771)	Prec@5 60.156 (58.755)
Epoch: [51][3270/7045]	Time 0.102 (0.242)	Data 0.003 (0.181)	Loss 3.1526 (3.0334)	Prec@1 25.781 (29.767)	Prec@5 57.812 (58.749)
Epoch: [51][3280/7045]	Time 0.101 (0.242)	Data 0.002 (0.181)	Loss 3.1294 (3.0336)	Prec@1 32.812 (29.760)	Prec@5 59.375 (58.745)
Epoch: [51][3290/7045]	Time 0.103 (0.242)	Data 0.003 (0.181)	Loss 3.0718 (3.0337)	Prec@1 28.906 (29.761)	Prec@5 58.984 (58.745)
Epoch: [51][3300/7045]	Time 0.128 (0.242)	Data 0.070 (0.181)	Loss 3.2862 (3.0338)	Prec@1 25.391 (29.761)	Prec@5 49.609 (58.742)
Epoch: [51][3310/7045]	Time 0.105 (0.242)	Data 0.052 (0.181)	Loss 2.8047 (3.0337)	Prec@1 33.594 (29.763)	Prec@5 62.109 (58.744)
Epoch: [51][3320/7045]	Time 0.117 (0.242)	Data 0.059 (0.181)	Loss 3.0976 (3.0336)	Prec@1 32.031 (29.768)	Prec@5 55.859 (58.742)
Epoch: [51][3330/7045]	Time 0.102 (0.242)	Data 0.003 (0.181)	Loss 3.0505 (3.0336)	Prec@1 28.125 (29.767)	Prec@5 60.156 (58.745)
Epoch: [51][3340/7045]	Time 0.106 (0.242)	Data 0.006 (0.181)	Loss 2.8725 (3.0337)	Prec@1 30.859 (29.767)	Prec@5 61.719 (58.744)
Epoch: [51][3350/7045]	Time 0.102 (0.242)	Data 0.014 (0.180)	Loss 2.8864 (3.0337)	Prec@1 33.203 (29.766)	Prec@5 59.766 (58.745)
Epoch: [51][3360/7045]	Time 0.101 (0.242)	Data 0.001 (0.180)	Loss 3.1244 (3.0339)	Prec@1 28.516 (29.765)	Prec@5 54.297 (58.743)
Epoch: [51][3370/7045]	Time 0.104 (0.242)	Data 0.052 (0.180)	Loss 2.8168 (3.0339)	Prec@1 37.500 (29.770)	Prec@5 66.797 (58.747)
Epoch: [51][3380/7045]	Time 0.109 (0.242)	Data 0.003 (0.180)	Loss 3.1317 (3.0339)	Prec@1 28.125 (29.772)	Prec@5 57.422 (58.750)
Epoch: [51][3390/7045]	Time 0.142 (0.242)	Data 0.090 (0.180)	Loss 3.2551 (3.0338)	Prec@1 28.906 (29.773)	Prec@5 53.906 (58.749)
Epoch: [51][3400/7045]	Time 0.107 (0.242)	Data 0.002 (0.180)	Loss 2.8694 (3.0338)	Prec@1 29.688 (29.770)	Prec@5 65.234 (58.752)
Epoch: [51][3410/7045]	Time 0.144 (0.242)	Data 0.093 (0.180)	Loss 2.8887 (3.0336)	Prec@1 31.250 (29.772)	Prec@5 61.719 (58.754)
Epoch: [51][3420/7045]	Time 0.108 (0.242)	Data 0.006 (0.180)	Loss 3.0515 (3.0337)	Prec@1 32.422 (29.773)	Prec@5 58.984 (58.755)
Epoch: [51][3430/7045]	Time 0.157 (0.242)	Data 0.107 (0.180)	Loss 3.1029 (3.0336)	Prec@1 30.859 (29.774)	Prec@5 59.766 (58.756)
Epoch: [51][3440/7045]	Time 0.101 (0.242)	Data 0.048 (0.180)	Loss 3.0469 (3.0335)	Prec@1 27.344 (29.773)	Prec@5 57.031 (58.756)
Epoch: [51][3450/7045]	Time 0.169 (0.242)	Data 0.117 (0.180)	Loss 3.0381 (3.0338)	Prec@1 31.250 (29.769)	Prec@5 58.984 (58.752)
Epoch: [51][3460/7045]	Time 0.186 (0.242)	Data 0.136 (0.180)	Loss 3.1243 (3.0338)	Prec@1 24.609 (29.769)	Prec@5 55.078 (58.752)
Epoch: [51][3470/7045]	Time 0.261 (0.242)	Data 0.208 (0.180)	Loss 2.9259 (3.0337)	Prec@1 32.422 (29.773)	Prec@5 62.109 (58.753)
Epoch: [51][3480/7045]	Time 0.114 (0.242)	Data 0.057 (0.180)	Loss 2.9628 (3.0337)	Prec@1 32.031 (29.772)	Prec@5 59.766 (58.751)
Epoch: [51][3490/7045]	Time 0.277 (0.242)	Data 0.227 (0.180)	Loss 2.9231 (3.0337)	Prec@1 33.594 (29.769)	Prec@5 62.109 (58.750)
Epoch: [51][3500/7045]	Time 0.139 (0.242)	Data 0.088 (0.180)	Loss 3.0914 (3.0338)	Prec@1 29.297 (29.767)	Prec@5 59.766 (58.748)
Epoch: [51][3510/7045]	Time 0.344 (0.242)	Data 0.293 (0.180)	Loss 3.2230 (3.0339)	Prec@1 27.734 (29.765)	Prec@5 55.469 (58.747)
Epoch: [51][3520/7045]	Time 0.109 (0.242)	Data 0.058 (0.180)	Loss 2.8910 (3.0337)	Prec@1 31.250 (29.768)	Prec@5 63.281 (58.753)
Epoch: [51][3530/7045]	Time 0.338 (0.242)	Data 0.287 (0.180)	Loss 3.1301 (3.0336)	Prec@1 31.250 (29.772)	Prec@5 57.031 (58.754)
Epoch: [51][3540/7045]	Time 0.127 (0.242)	Data 0.075 (0.180)	Loss 2.8505 (3.0335)	Prec@1 30.469 (29.773)	Prec@5 58.203 (58.753)
Epoch: [51][3550/7045]	Time 0.372 (0.242)	Data 0.320 (0.180)	Loss 2.8844 (3.0336)	Prec@1 34.766 (29.773)	Prec@5 60.156 (58.749)
Epoch: [51][3560/7045]	Time 0.173 (0.242)	Data 0.115 (0.180)	Loss 3.2378 (3.0336)	Prec@1 25.000 (29.771)	Prec@5 54.688 (58.750)
Epoch: [51][3570/7045]	Time 0.527 (0.242)	Data 0.476 (0.180)	Loss 3.0575 (3.0337)	Prec@1 30.859 (29.770)	Prec@5 57.812 (58.749)
Epoch: [51][3580/7045]	Time 0.185 (0.242)	Data 0.134 (0.180)	Loss 2.9392 (3.0336)	Prec@1 30.859 (29.773)	Prec@5 61.328 (58.751)
Epoch: [51][3590/7045]	Time 0.460 (0.242)	Data 0.409 (0.180)	Loss 2.9266 (3.0333)	Prec@1 33.594 (29.781)	Prec@5 64.062 (58.757)
Epoch: [51][3600/7045]	Time 0.242 (0.242)	Data 0.186 (0.180)	Loss 2.7681 (3.0331)	Prec@1 30.469 (29.780)	Prec@5 64.062 (58.762)
Epoch: [51][3610/7045]	Time 0.581 (0.242)	Data 0.529 (0.180)	Loss 3.0578 (3.0331)	Prec@1 26.562 (29.781)	Prec@5 61.719 (58.763)
Epoch: [51][3620/7045]	Time 0.166 (0.242)	Data 0.115 (0.180)	Loss 3.2486 (3.0331)	Prec@1 25.391 (29.782)	Prec@5 53.125 (58.761)
Epoch: [51][3630/7045]	Time 0.515 (0.242)	Data 0.463 (0.180)	Loss 3.0805 (3.0331)	Prec@1 31.250 (29.782)	Prec@5 57.812 (58.757)
Epoch: [51][3640/7045]	Time 0.189 (0.242)	Data 0.138 (0.180)	Loss 2.8812 (3.0331)	Prec@1 35.938 (29.786)	Prec@5 60.547 (58.757)
Epoch: [51][3650/7045]	Time 0.587 (0.242)	Data 0.536 (0.180)	Loss 3.2513 (3.0331)	Prec@1 26.953 (29.785)	Prec@5 53.125 (58.756)
Epoch: [51][3660/7045]	Time 0.184 (0.242)	Data 0.133 (0.180)	Loss 2.9192 (3.0329)	Prec@1 31.250 (29.788)	Prec@5 63.281 (58.760)
Epoch: [51][3670/7045]	Time 0.511 (0.242)	Data 0.451 (0.180)	Loss 2.8110 (3.0328)	Prec@1 33.594 (29.787)	Prec@5 63.672 (58.760)
Epoch: [51][3680/7045]	Time 0.225 (0.242)	Data 0.173 (0.180)	Loss 3.0519 (3.0327)	Prec@1 31.250 (29.794)	Prec@5 56.641 (58.760)
Epoch: [51][3690/7045]	Time 0.502 (0.242)	Data 0.452 (0.180)	Loss 3.0316 (3.0326)	Prec@1 28.906 (29.793)	Prec@5 55.859 (58.757)
Epoch: [51][3700/7045]	Time 0.226 (0.242)	Data 0.175 (0.180)	Loss 3.1439 (3.0327)	Prec@1 26.562 (29.792)	Prec@5 58.594 (58.757)
Epoch: [51][3710/7045]	Time 0.520 (0.242)	Data 0.469 (0.180)	Loss 2.9938 (3.0329)	Prec@1 30.078 (29.788)	Prec@5 59.375 (58.752)
Epoch: [51][3720/7045]	Time 0.230 (0.242)	Data 0.179 (0.180)	Loss 2.9659 (3.0328)	Prec@1 26.562 (29.786)	Prec@5 64.453 (58.753)
Epoch: [51][3730/7045]	Time 0.534 (0.242)	Data 0.483 (0.180)	Loss 2.9021 (3.0327)	Prec@1 38.281 (29.788)	Prec@5 60.156 (58.759)
Epoch: [51][3740/7045]	Time 0.207 (0.242)	Data 0.156 (0.180)	Loss 3.0275 (3.0326)	Prec@1 31.641 (29.790)	Prec@5 59.766 (58.759)
Epoch: [51][3750/7045]	Time 0.306 (0.242)	Data 0.255 (0.180)	Loss 2.9798 (3.0324)	Prec@1 30.078 (29.795)	Prec@5 62.109 (58.763)
Epoch: [51][3760/7045]	Time 0.333 (0.242)	Data 0.281 (0.180)	Loss 3.0486 (3.0326)	Prec@1 29.688 (29.793)	Prec@5 55.078 (58.763)
Epoch: [51][3770/7045]	Time 0.312 (0.242)	Data 0.262 (0.180)	Loss 3.0710 (3.0326)	Prec@1 26.562 (29.790)	Prec@5 59.375 (58.763)
Epoch: [51][3780/7045]	Time 0.464 (0.242)	Data 0.407 (0.180)	Loss 2.9424 (3.0327)	Prec@1 30.078 (29.788)	Prec@5 62.500 (58.760)
Epoch: [51][3790/7045]	Time 0.271 (0.242)	Data 0.219 (0.180)	Loss 2.9161 (3.0326)	Prec@1 30.859 (29.788)	Prec@5 60.938 (58.759)
Epoch: [51][3800/7045]	Time 0.530 (0.242)	Data 0.480 (0.180)	Loss 3.0747 (3.0326)	Prec@1 25.000 (29.790)	Prec@5 60.938 (58.761)
Epoch: [51][3810/7045]	Time 0.226 (0.242)	Data 0.174 (0.180)	Loss 2.9803 (3.0326)	Prec@1 31.641 (29.789)	Prec@5 58.594 (58.761)
Epoch: [51][3820/7045]	Time 0.423 (0.242)	Data 0.372 (0.180)	Loss 2.8694 (3.0326)	Prec@1 29.688 (29.789)	Prec@5 62.500 (58.763)
Epoch: [51][3830/7045]	Time 0.233 (0.242)	Data 0.182 (0.180)	Loss 3.0222 (3.0326)	Prec@1 29.688 (29.789)	Prec@5 57.812 (58.764)
Epoch: [51][3840/7045]	Time 0.433 (0.242)	Data 0.376 (0.180)	Loss 3.2698 (3.0327)	Prec@1 31.250 (29.790)	Prec@5 54.297 (58.760)
Epoch: [51][3850/7045]	Time 0.178 (0.242)	Data 0.127 (0.180)	Loss 3.1413 (3.0327)	Prec@1 30.078 (29.790)	Prec@5 58.203 (58.760)
Epoch: [51][3860/7045]	Time 0.382 (0.242)	Data 0.330 (0.180)	Loss 3.2956 (3.0327)	Prec@1 23.047 (29.791)	Prec@5 52.734 (58.757)
Epoch: [51][3870/7045]	Time 0.157 (0.242)	Data 0.106 (0.180)	Loss 3.0810 (3.0328)	Prec@1 27.344 (29.792)	Prec@5 60.547 (58.758)
Epoch: [51][3880/7045]	Time 0.465 (0.242)	Data 0.415 (0.180)	Loss 2.9549 (3.0329)	Prec@1 28.906 (29.788)	Prec@5 60.156 (58.759)
Epoch: [51][3890/7045]	Time 0.101 (0.242)	Data 0.001 (0.180)	Loss 3.1188 (3.0329)	Prec@1 30.859 (29.787)	Prec@5 57.031 (58.759)
Epoch: [51][3900/7045]	Time 0.535 (0.242)	Data 0.477 (0.180)	Loss 2.9715 (3.0328)	Prec@1 30.469 (29.789)	Prec@5 62.500 (58.761)
Epoch: [51][3910/7045]	Time 0.101 (0.242)	Data 0.007 (0.180)	Loss 2.8499 (3.0327)	Prec@1 30.859 (29.791)	Prec@5 64.062 (58.765)
Epoch: [51][3920/7045]	Time 0.508 (0.242)	Data 0.444 (0.180)	Loss 2.9286 (3.0328)	Prec@1 31.250 (29.791)	Prec@5 60.547 (58.762)
Epoch: [51][3930/7045]	Time 0.101 (0.242)	Data 0.001 (0.180)	Loss 2.9885 (3.0329)	Prec@1 34.766 (29.789)	Prec@5 61.328 (58.759)
Epoch: [51][3940/7045]	Time 0.494 (0.242)	Data 0.438 (0.180)	Loss 3.0471 (3.0330)	Prec@1 29.688 (29.787)	Prec@5 57.031 (58.757)
Epoch: [51][3950/7045]	Time 0.103 (0.242)	Data 0.001 (0.180)	Loss 3.0832 (3.0330)	Prec@1 28.125 (29.791)	Prec@5 57.422 (58.758)
Epoch: [51][3960/7045]	Time 0.491 (0.242)	Data 0.434 (0.180)	Loss 3.1064 (3.0330)	Prec@1 28.125 (29.790)	Prec@5 55.078 (58.759)
Epoch: [51][3970/7045]	Time 0.102 (0.242)	Data 0.001 (0.180)	Loss 2.8736 (3.0331)	Prec@1 33.594 (29.791)	Prec@5 58.203 (58.758)
Epoch: [51][3980/7045]	Time 0.451 (0.242)	Data 0.394 (0.180)	Loss 3.0498 (3.0332)	Prec@1 31.641 (29.788)	Prec@5 60.156 (58.757)
Epoch: [51][3990/7045]	Time 0.102 (0.242)	Data 0.001 (0.180)	Loss 3.1532 (3.0333)	Prec@1 30.078 (29.786)	Prec@5 53.516 (58.754)
Epoch: [51][4000/7045]	Time 0.504 (0.242)	Data 0.454 (0.180)	Loss 3.1481 (3.0336)	Prec@1 26.562 (29.783)	Prec@5 53.125 (58.745)
Epoch: [51][4010/7045]	Time 0.105 (0.242)	Data 0.001 (0.180)	Loss 3.0539 (3.0334)	Prec@1 28.125 (29.786)	Prec@5 57.422 (58.750)
Epoch: [51][4020/7045]	Time 0.473 (0.242)	Data 0.421 (0.180)	Loss 3.1861 (3.0335)	Prec@1 26.562 (29.784)	Prec@5 56.641 (58.749)
Epoch: [51][4030/7045]	Time 0.102 (0.242)	Data 0.001 (0.180)	Loss 3.1421 (3.0336)	Prec@1 25.391 (29.782)	Prec@5 55.078 (58.747)
Epoch: [51][4040/7045]	Time 0.498 (0.242)	Data 0.446 (0.180)	Loss 3.0529 (3.0338)	Prec@1 29.688 (29.779)	Prec@5 58.984 (58.744)
Epoch: [51][4050/7045]	Time 0.101 (0.241)	Data 0.001 (0.180)	Loss 2.9793 (3.0341)	Prec@1 31.641 (29.773)	Prec@5 57.812 (58.735)
Epoch: [51][4060/7045]	Time 0.394 (0.242)	Data 0.343 (0.180)	Loss 2.9585 (3.0341)	Prec@1 31.250 (29.774)	Prec@5 58.203 (58.731)
Epoch: [51][4070/7045]	Time 0.102 (0.241)	Data 0.007 (0.180)	Loss 2.7849 (3.0339)	Prec@1 34.766 (29.776)	Prec@5 61.719 (58.734)
Epoch: [51][4080/7045]	Time 0.467 (0.242)	Data 0.411 (0.180)	Loss 3.0383 (3.0337)	Prec@1 29.297 (29.780)	Prec@5 59.766 (58.740)
Epoch: [51][4090/7045]	Time 0.103 (0.241)	Data 0.001 (0.180)	Loss 3.0282 (3.0339)	Prec@1 30.859 (29.777)	Prec@5 57.031 (58.735)
Epoch: [51][4100/7045]	Time 0.412 (0.242)	Data 0.361 (0.180)	Loss 3.1703 (3.0339)	Prec@1 28.906 (29.775)	Prec@5 57.812 (58.738)
Epoch: [51][4110/7045]	Time 0.103 (0.241)	Data 0.001 (0.179)	Loss 2.9063 (3.0340)	Prec@1 30.078 (29.777)	Prec@5 65.625 (58.741)
Epoch: [51][4120/7045]	Time 0.331 (0.242)	Data 0.280 (0.180)	Loss 3.1164 (3.0339)	Prec@1 30.859 (29.778)	Prec@5 58.984 (58.744)
Epoch: [51][4130/7045]	Time 0.101 (0.241)	Data 0.001 (0.179)	Loss 3.1497 (3.0338)	Prec@1 30.469 (29.778)	Prec@5 58.203 (58.745)
Epoch: [51][4140/7045]	Time 0.252 (0.242)	Data 0.202 (0.179)	Loss 2.9915 (3.0338)	Prec@1 30.469 (29.777)	Prec@5 58.594 (58.746)
Epoch: [51][4150/7045]	Time 0.102 (0.241)	Data 0.050 (0.179)	Loss 3.0558 (3.0338)	Prec@1 27.344 (29.776)	Prec@5 58.984 (58.747)
Epoch: [51][4160/7045]	Time 0.192 (0.241)	Data 0.140 (0.179)	Loss 3.1012 (3.0340)	Prec@1 27.344 (29.772)	Prec@5 55.859 (58.742)
Epoch: [51][4170/7045]	Time 0.101 (0.241)	Data 0.001 (0.179)	Loss 3.1395 (3.0341)	Prec@1 27.344 (29.771)	Prec@5 58.594 (58.742)
Epoch: [51][4180/7045]	Time 0.213 (0.241)	Data 0.161 (0.179)	Loss 3.2070 (3.0341)	Prec@1 28.516 (29.771)	Prec@5 56.641 (58.742)
Epoch: [51][4190/7045]	Time 0.103 (0.241)	Data 0.001 (0.179)	Loss 2.9868 (3.0340)	Prec@1 29.688 (29.773)	Prec@5 56.641 (58.743)
Epoch: [51][4200/7045]	Time 0.148 (0.241)	Data 0.091 (0.179)	Loss 3.0500 (3.0339)	Prec@1 28.906 (29.774)	Prec@5 60.938 (58.746)
Epoch: [51][4210/7045]	Time 0.102 (0.241)	Data 0.001 (0.179)	Loss 3.0461 (3.0341)	Prec@1 30.078 (29.771)	Prec@5 59.375 (58.742)
Epoch: [51][4220/7045]	Time 0.108 (0.241)	Data 0.055 (0.179)	Loss 3.2158 (3.0341)	Prec@1 26.562 (29.770)	Prec@5 56.641 (58.743)
Epoch: [51][4230/7045]	Time 0.102 (0.241)	Data 0.001 (0.179)	Loss 3.1429 (3.0343)	Prec@1 31.641 (29.770)	Prec@5 57.812 (58.741)
Epoch: [51][4240/7045]	Time 0.103 (0.241)	Data 0.006 (0.179)	Loss 3.0898 (3.0344)	Prec@1 27.734 (29.770)	Prec@5 56.250 (58.739)
Epoch: [51][4250/7045]	Time 0.103 (0.241)	Data 0.001 (0.179)	Loss 3.1659 (3.0344)	Prec@1 30.469 (29.767)	Prec@5 56.250 (58.737)
Epoch: [51][4260/7045]	Time 0.110 (0.241)	Data 0.006 (0.179)	Loss 2.9424 (3.0346)	Prec@1 30.859 (29.765)	Prec@5 63.672 (58.735)
Epoch: [51][4270/7045]	Time 0.102 (0.241)	Data 0.005 (0.179)	Loss 3.0137 (3.0346)	Prec@1 28.516 (29.765)	Prec@5 60.156 (58.735)
Epoch: [51][4280/7045]	Time 0.113 (0.241)	Data 0.005 (0.179)	Loss 3.0053 (3.0348)	Prec@1 32.812 (29.760)	Prec@5 59.375 (58.732)
Epoch: [51][4290/7045]	Time 0.103 (0.241)	Data 0.001 (0.179)	Loss 2.8629 (3.0347)	Prec@1 32.422 (29.761)	Prec@5 62.109 (58.735)
Epoch: [51][4300/7045]	Time 0.102 (0.241)	Data 0.007 (0.179)	Loss 2.9862 (3.0348)	Prec@1 30.859 (29.759)	Prec@5 56.641 (58.735)
Epoch: [51][4310/7045]	Time 0.100 (0.241)	Data 0.047 (0.179)	Loss 2.9819 (3.0348)	Prec@1 32.031 (29.759)	Prec@5 58.984 (58.738)
Epoch: [51][4320/7045]	Time 0.099 (0.241)	Data 0.008 (0.179)	Loss 3.0285 (3.0350)	Prec@1 27.344 (29.755)	Prec@5 55.859 (58.732)
Epoch: [51][4330/7045]	Time 0.164 (0.241)	Data 0.110 (0.179)	Loss 2.9467 (3.0351)	Prec@1 30.078 (29.752)	Prec@5 62.109 (58.729)
Epoch: [51][4340/7045]	Time 0.165 (0.241)	Data 0.115 (0.179)	Loss 3.0275 (3.0351)	Prec@1 29.688 (29.750)	Prec@5 58.203 (58.730)
Epoch: [51][4350/7045]	Time 0.102 (0.241)	Data 0.001 (0.179)	Loss 3.0003 (3.0350)	Prec@1 30.469 (29.750)	Prec@5 59.375 (58.732)
Epoch: [51][4360/7045]	Time 0.109 (0.242)	Data 0.009 (0.179)	Loss 3.1713 (3.0351)	Prec@1 29.297 (29.750)	Prec@5 57.422 (58.731)
Epoch: [51][4370/7045]	Time 0.103 (0.242)	Data 0.006 (0.179)	Loss 2.9222 (3.0351)	Prec@1 35.156 (29.749)	Prec@5 62.500 (58.732)
Epoch: [51][4380/7045]	Time 0.293 (0.242)	Data 0.234 (0.179)	Loss 2.9954 (3.0353)	Prec@1 30.859 (29.747)	Prec@5 59.375 (58.727)
Epoch: [51][4390/7045]	Time 0.102 (0.242)	Data 0.002 (0.179)	Loss 3.2482 (3.0353)	Prec@1 25.391 (29.746)	Prec@5 50.781 (58.726)
Epoch: [51][4400/7045]	Time 0.101 (0.242)	Data 0.001 (0.179)	Loss 3.0939 (3.0354)	Prec@1 28.125 (29.743)	Prec@5 62.109 (58.726)
Epoch: [51][4410/7045]	Time 0.568 (0.242)	Data 0.516 (0.179)	Loss 3.1599 (3.0354)	Prec@1 24.609 (29.744)	Prec@5 53.125 (58.726)
Epoch: [51][4420/7045]	Time 0.162 (0.242)	Data 0.111 (0.179)	Loss 2.9109 (3.0354)	Prec@1 30.078 (29.742)	Prec@5 60.156 (58.727)
Epoch: [51][4430/7045]	Time 0.108 (0.242)	Data 0.056 (0.179)	Loss 3.0312 (3.0354)	Prec@1 29.688 (29.740)	Prec@5 60.547 (58.726)
Epoch: [51][4440/7045]	Time 0.107 (0.242)	Data 0.001 (0.179)	Loss 3.0337 (3.0353)	Prec@1 29.297 (29.741)	Prec@5 52.734 (58.727)
Epoch: [51][4450/7045]	Time 0.202 (0.242)	Data 0.152 (0.179)	Loss 2.9013 (3.0353)	Prec@1 32.812 (29.744)	Prec@5 62.500 (58.725)
Epoch: [51][4460/7045]	Time 0.149 (0.242)	Data 0.098 (0.179)	Loss 3.1295 (3.0355)	Prec@1 28.906 (29.743)	Prec@5 53.516 (58.721)
Epoch: [51][4470/7045]	Time 0.170 (0.242)	Data 0.117 (0.179)	Loss 3.0223 (3.0356)	Prec@1 33.203 (29.743)	Prec@5 57.812 (58.718)
Epoch: [51][4480/7045]	Time 0.354 (0.242)	Data 0.302 (0.179)	Loss 2.9495 (3.0355)	Prec@1 27.344 (29.744)	Prec@5 62.891 (58.718)
Epoch: [51][4490/7045]	Time 0.102 (0.242)	Data 0.005 (0.179)	Loss 3.0738 (3.0354)	Prec@1 29.688 (29.744)	Prec@5 60.547 (58.721)
Epoch: [51][4500/7045]	Time 0.575 (0.242)	Data 0.524 (0.179)	Loss 3.2309 (3.0355)	Prec@1 25.000 (29.745)	Prec@5 55.469 (58.719)
Epoch: [51][4510/7045]	Time 0.101 (0.242)	Data 0.001 (0.179)	Loss 3.3250 (3.0356)	Prec@1 23.828 (29.742)	Prec@5 54.297 (58.716)
Epoch: [51][4520/7045]	Time 0.620 (0.242)	Data 0.568 (0.180)	Loss 2.9558 (3.0356)	Prec@1 34.375 (29.740)	Prec@5 58.594 (58.716)
Epoch: [51][4530/7045]	Time 0.105 (0.242)	Data 0.001 (0.180)	Loss 2.9295 (3.0355)	Prec@1 31.250 (29.742)	Prec@5 61.328 (58.721)
Epoch: [51][4540/7045]	Time 0.694 (0.242)	Data 0.633 (0.180)	Loss 3.0583 (3.0355)	Prec@1 29.688 (29.741)	Prec@5 55.078 (58.718)
Epoch: [51][4550/7045]	Time 0.102 (0.242)	Data 0.001 (0.180)	Loss 3.1121 (3.0355)	Prec@1 26.953 (29.740)	Prec@5 58.984 (58.720)
Epoch: [51][4560/7045]	Time 0.522 (0.243)	Data 0.471 (0.180)	Loss 2.8224 (3.0355)	Prec@1 35.938 (29.740)	Prec@5 59.375 (58.720)
Epoch: [51][4570/7045]	Time 0.102 (0.243)	Data 0.020 (0.180)	Loss 3.0036 (3.0356)	Prec@1 32.812 (29.739)	Prec@5 59.766 (58.720)
Epoch: [51][4580/7045]	Time 0.427 (0.243)	Data 0.376 (0.180)	Loss 3.3026 (3.0355)	Prec@1 25.000 (29.739)	Prec@5 52.734 (58.720)
Epoch: [51][4590/7045]	Time 0.190 (0.243)	Data 0.138 (0.180)	Loss 2.9567 (3.0356)	Prec@1 30.078 (29.735)	Prec@5 61.719 (58.717)
Epoch: [51][4600/7045]	Time 0.125 (0.243)	Data 0.074 (0.180)	Loss 2.9590 (3.0355)	Prec@1 29.688 (29.735)	Prec@5 58.203 (58.719)
Epoch: [51][4610/7045]	Time 0.282 (0.243)	Data 0.231 (0.180)	Loss 3.0853 (3.0356)	Prec@1 29.688 (29.735)	Prec@5 55.078 (58.718)
Epoch: [51][4620/7045]	Time 0.360 (0.243)	Data 0.308 (0.180)	Loss 3.0923 (3.0355)	Prec@1 26.953 (29.736)	Prec@5 57.812 (58.717)
Epoch: [51][4630/7045]	Time 0.156 (0.243)	Data 0.105 (0.180)	Loss 2.9191 (3.0355)	Prec@1 31.250 (29.737)	Prec@5 62.500 (58.718)
Epoch: [51][4640/7045]	Time 0.109 (0.243)	Data 0.004 (0.180)	Loss 3.0095 (3.0355)	Prec@1 30.078 (29.737)	Prec@5 60.547 (58.718)
Epoch: [51][4650/7045]	Time 0.512 (0.243)	Data 0.460 (0.180)	Loss 2.8414 (3.0354)	Prec@1 34.766 (29.739)	Prec@5 64.062 (58.718)
Epoch: [51][4660/7045]	Time 0.102 (0.243)	Data 0.001 (0.180)	Loss 3.0031 (3.0354)	Prec@1 28.906 (29.738)	Prec@5 58.984 (58.720)
Epoch: [51][4670/7045]	Time 0.449 (0.243)	Data 0.398 (0.180)	Loss 3.1608 (3.0354)	Prec@1 28.906 (29.739)	Prec@5 56.250 (58.718)
Epoch: [51][4680/7045]	Time 0.100 (0.243)	Data 0.045 (0.180)	Loss 2.8356 (3.0354)	Prec@1 32.812 (29.739)	Prec@5 62.500 (58.713)
Epoch: [51][4690/7045]	Time 0.272 (0.243)	Data 0.218 (0.180)	Loss 3.0730 (3.0354)	Prec@1 31.641 (29.738)	Prec@5 55.859 (58.712)
Epoch: [51][4700/7045]	Time 0.217 (0.243)	Data 0.164 (0.180)	Loss 2.9509 (3.0354)	Prec@1 32.422 (29.739)	Prec@5 62.500 (58.713)
Epoch: [51][4710/7045]	Time 0.276 (0.243)	Data 0.224 (0.180)	Loss 2.9299 (3.0353)	Prec@1 33.984 (29.739)	Prec@5 59.766 (58.715)
Epoch: [51][4720/7045]	Time 0.578 (0.243)	Data 0.527 (0.180)	Loss 2.9209 (3.0353)	Prec@1 32.812 (29.739)	Prec@5 61.328 (58.716)
Epoch: [51][4730/7045]	Time 0.102 (0.243)	Data 0.019 (0.180)	Loss 3.0672 (3.0354)	Prec@1 29.297 (29.737)	Prec@5 55.859 (58.717)
Epoch: [51][4740/7045]	Time 0.458 (0.243)	Data 0.407 (0.180)	Loss 3.1640 (3.0354)	Prec@1 27.734 (29.736)	Prec@5 58.984 (58.715)
Epoch: [51][4750/7045]	Time 0.167 (0.243)	Data 0.116 (0.180)	Loss 3.0117 (3.0355)	Prec@1 24.609 (29.733)	Prec@5 59.375 (58.717)
Epoch: [51][4760/7045]	Time 0.134 (0.243)	Data 0.083 (0.181)	Loss 2.9864 (3.0353)	Prec@1 27.734 (29.736)	Prec@5 58.594 (58.718)
Epoch: [51][4770/7045]	Time 0.372 (0.243)	Data 0.321 (0.181)	Loss 2.9930 (3.0351)	Prec@1 26.953 (29.738)	Prec@5 57.422 (58.721)
Epoch: [51][4780/7045]	Time 0.422 (0.243)	Data 0.371 (0.181)	Loss 3.0209 (3.0349)	Prec@1 24.219 (29.739)	Prec@5 58.984 (58.725)
Epoch: [51][4790/7045]	Time 0.107 (0.244)	Data 0.054 (0.181)	Loss 2.7988 (3.0349)	Prec@1 35.547 (29.739)	Prec@5 62.891 (58.725)
Epoch: [51][4800/7045]	Time 0.757 (0.244)	Data 0.704 (0.181)	Loss 3.1754 (3.0348)	Prec@1 30.859 (29.739)	Prec@5 53.906 (58.726)
Epoch: [51][4810/7045]	Time 0.102 (0.244)	Data 0.016 (0.181)	Loss 2.9733 (3.0348)	Prec@1 31.250 (29.740)	Prec@5 62.109 (58.728)
Epoch: [51][4820/7045]	Time 0.414 (0.244)	Data 0.362 (0.181)	Loss 3.0021 (3.0348)	Prec@1 26.953 (29.740)	Prec@5 58.203 (58.726)
Epoch: [51][4830/7045]	Time 0.465 (0.244)	Data 0.412 (0.181)	Loss 2.7774 (3.0348)	Prec@1 31.250 (29.741)	Prec@5 63.281 (58.727)
Epoch: [51][4840/7045]	Time 0.205 (0.244)	Data 0.153 (0.181)	Loss 3.1544 (3.0349)	Prec@1 30.469 (29.737)	Prec@5 54.297 (58.724)
Epoch: [51][4850/7045]	Time 0.102 (0.244)	Data 0.001 (0.181)	Loss 2.9953 (3.0349)	Prec@1 35.547 (29.738)	Prec@5 60.156 (58.722)
Epoch: [51][4860/7045]	Time 0.102 (0.244)	Data 0.001 (0.181)	Loss 2.9296 (3.0348)	Prec@1 32.812 (29.739)	Prec@5 57.812 (58.722)
Epoch: [51][4870/7045]	Time 0.356 (0.244)	Data 0.306 (0.181)	Loss 3.2315 (3.0350)	Prec@1 29.297 (29.741)	Prec@5 55.859 (58.719)
Epoch: [51][4880/7045]	Time 0.116 (0.244)	Data 0.063 (0.181)	Loss 2.8196 (3.0350)	Prec@1 33.984 (29.743)	Prec@5 64.453 (58.722)
Epoch: [51][4890/7045]	Time 0.587 (0.244)	Data 0.536 (0.181)	Loss 2.7797 (3.0350)	Prec@1 30.469 (29.745)	Prec@5 61.719 (58.722)
Epoch: [51][4900/7045]	Time 0.202 (0.244)	Data 0.150 (0.181)	Loss 3.0192 (3.0350)	Prec@1 28.906 (29.744)	Prec@5 57.812 (58.723)
Epoch: [51][4910/7045]	Time 0.269 (0.244)	Data 0.218 (0.181)	Loss 2.7129 (3.0349)	Prec@1 33.203 (29.746)	Prec@5 64.844 (58.727)
Epoch: [51][4920/7045]	Time 0.425 (0.244)	Data 0.373 (0.181)	Loss 3.1540 (3.0347)	Prec@1 28.516 (29.748)	Prec@5 57.031 (58.730)
Epoch: [51][4930/7045]	Time 0.429 (0.244)	Data 0.377 (0.181)	Loss 3.1217 (3.0349)	Prec@1 27.734 (29.747)	Prec@5 54.297 (58.728)
Epoch: [51][4940/7045]	Time 0.195 (0.244)	Data 0.144 (0.181)	Loss 2.9643 (3.0349)	Prec@1 32.031 (29.747)	Prec@5 60.156 (58.728)
Epoch: [51][4950/7045]	Time 0.286 (0.244)	Data 0.234 (0.181)	Loss 3.1015 (3.0348)	Prec@1 31.250 (29.746)	Prec@5 57.812 (58.730)
Epoch: [51][4960/7045]	Time 0.421 (0.244)	Data 0.370 (0.181)	Loss 2.8948 (3.0346)	Prec@1 35.547 (29.751)	Prec@5 61.719 (58.731)
Epoch: [51][4970/7045]	Time 0.276 (0.244)	Data 0.224 (0.181)	Loss 3.0122 (3.0345)	Prec@1 29.297 (29.752)	Prec@5 57.031 (58.733)
Epoch: [51][4980/7045]	Time 0.155 (0.244)	Data 0.103 (0.181)	Loss 3.1927 (3.0345)	Prec@1 30.469 (29.751)	Prec@5 53.906 (58.733)
Epoch: [51][4990/7045]	Time 0.661 (0.244)	Data 0.608 (0.181)	Loss 2.8582 (3.0344)	Prec@1 29.297 (29.752)	Prec@5 60.547 (58.734)
Epoch: [51][5000/7045]	Time 0.175 (0.244)	Data 0.121 (0.181)	Loss 2.9542 (3.0344)	Prec@1 29.688 (29.754)	Prec@5 57.031 (58.737)
Epoch: [51][5010/7045]	Time 0.467 (0.244)	Data 0.415 (0.181)	Loss 3.0428 (3.0343)	Prec@1 23.828 (29.754)	Prec@5 56.641 (58.739)
Epoch: [51][5020/7045]	Time 0.141 (0.244)	Data 0.089 (0.181)	Loss 3.0471 (3.0344)	Prec@1 27.344 (29.752)	Prec@5 57.422 (58.736)
Epoch: [51][5030/7045]	Time 0.558 (0.244)	Data 0.504 (0.181)	Loss 2.9915 (3.0344)	Prec@1 32.812 (29.752)	Prec@5 58.594 (58.738)
Epoch: [51][5040/7045]	Time 0.109 (0.244)	Data 0.057 (0.181)	Loss 3.1513 (3.0344)	Prec@1 28.125 (29.751)	Prec@5 56.641 (58.735)
Epoch: [51][5050/7045]	Time 0.587 (0.244)	Data 0.535 (0.182)	Loss 3.0478 (3.0345)	Prec@1 30.859 (29.751)	Prec@5 55.859 (58.733)
Epoch: [51][5060/7045]	Time 0.110 (0.244)	Data 0.059 (0.181)	Loss 3.1860 (3.0345)	Prec@1 28.125 (29.749)	Prec@5 55.469 (58.733)
Epoch: [51][5070/7045]	Time 0.570 (0.244)	Data 0.519 (0.182)	Loss 3.2598 (3.0345)	Prec@1 25.000 (29.751)	Prec@5 50.391 (58.732)
Epoch: [51][5080/7045]	Time 0.102 (0.244)	Data 0.001 (0.182)	Loss 3.0323 (3.0345)	Prec@1 28.516 (29.752)	Prec@5 54.688 (58.733)
Epoch: [51][5090/7045]	Time 0.406 (0.244)	Data 0.354 (0.182)	Loss 3.0862 (3.0347)	Prec@1 29.297 (29.751)	Prec@5 57.031 (58.731)
Epoch: [51][5100/7045]	Time 0.229 (0.244)	Data 0.170 (0.182)	Loss 2.8463 (3.0346)	Prec@1 32.812 (29.749)	Prec@5 64.062 (58.732)
Epoch: [51][5110/7045]	Time 0.473 (0.244)	Data 0.421 (0.182)	Loss 3.0095 (3.0346)	Prec@1 32.812 (29.749)	Prec@5 54.297 (58.730)
Epoch: [51][5120/7045]	Time 0.169 (0.244)	Data 0.117 (0.182)	Loss 2.9773 (3.0346)	Prec@1 29.297 (29.751)	Prec@5 60.156 (58.729)
Epoch: [51][5130/7045]	Time 0.509 (0.244)	Data 0.458 (0.182)	Loss 2.9955 (3.0346)	Prec@1 31.250 (29.754)	Prec@5 58.984 (58.731)
Epoch: [51][5140/7045]	Time 0.102 (0.244)	Data 0.004 (0.182)	Loss 3.2142 (3.0346)	Prec@1 28.516 (29.755)	Prec@5 56.250 (58.729)
Epoch: [51][5150/7045]	Time 0.209 (0.244)	Data 0.149 (0.182)	Loss 2.9412 (3.0346)	Prec@1 30.859 (29.756)	Prec@5 61.328 (58.731)
Epoch: [51][5160/7045]	Time 0.104 (0.244)	Data 0.050 (0.182)	Loss 3.3967 (3.0345)	Prec@1 25.000 (29.754)	Prec@5 51.953 (58.731)
Epoch: [51][5170/7045]	Time 0.100 (0.245)	Data 0.002 (0.182)	Loss 2.8457 (3.0345)	Prec@1 35.156 (29.756)	Prec@5 61.719 (58.731)
Epoch: [51][5180/7045]	Time 0.142 (0.244)	Data 0.091 (0.182)	Loss 2.8485 (3.0345)	Prec@1 29.297 (29.754)	Prec@5 64.844 (58.732)
Epoch: [51][5190/7045]	Time 0.101 (0.245)	Data 0.007 (0.182)	Loss 3.2622 (3.0347)	Prec@1 27.344 (29.752)	Prec@5 55.859 (58.729)
Epoch: [51][5200/7045]	Time 0.428 (0.245)	Data 0.376 (0.182)	Loss 3.2369 (3.0348)	Prec@1 26.562 (29.750)	Prec@5 60.156 (58.730)
Epoch: [51][5210/7045]	Time 0.102 (0.245)	Data 0.050 (0.182)	Loss 3.0987 (3.0346)	Prec@1 29.688 (29.754)	Prec@5 57.422 (58.735)
Epoch: [51][5220/7045]	Time 0.600 (0.245)	Data 0.548 (0.182)	Loss 3.0341 (3.0347)	Prec@1 33.203 (29.754)	Prec@5 64.062 (58.734)
Epoch: [51][5230/7045]	Time 0.106 (0.245)	Data 0.053 (0.182)	Loss 3.0091 (3.0347)	Prec@1 31.250 (29.755)	Prec@5 62.891 (58.732)
Epoch: [51][5240/7045]	Time 0.789 (0.245)	Data 0.737 (0.182)	Loss 2.9865 (3.0348)	Prec@1 27.734 (29.756)	Prec@5 60.547 (58.730)
Epoch: [51][5250/7045]	Time 0.102 (0.245)	Data 0.001 (0.182)	Loss 3.0908 (3.0349)	Prec@1 30.469 (29.753)	Prec@5 57.031 (58.729)
Epoch: [51][5260/7045]	Time 0.366 (0.245)	Data 0.307 (0.182)	Loss 3.2533 (3.0350)	Prec@1 26.953 (29.754)	Prec@5 50.781 (58.728)
Epoch: [51][5270/7045]	Time 0.337 (0.245)	Data 0.284 (0.182)	Loss 3.0410 (3.0349)	Prec@1 28.906 (29.754)	Prec@5 60.156 (58.730)
Epoch: [51][5280/7045]	Time 0.342 (0.245)	Data 0.291 (0.182)	Loss 2.8265 (3.0349)	Prec@1 32.812 (29.755)	Prec@5 60.547 (58.731)
Epoch: [51][5290/7045]	Time 0.633 (0.245)	Data 0.581 (0.182)	Loss 3.2137 (3.0349)	Prec@1 28.125 (29.754)	Prec@5 57.812 (58.730)
Epoch: [51][5300/7045]	Time 0.260 (0.245)	Data 0.208 (0.182)	Loss 3.1892 (3.0350)	Prec@1 30.078 (29.752)	Prec@5 58.984 (58.730)
Epoch: [51][5310/7045]	Time 0.246 (0.245)	Data 0.194 (0.182)	Loss 3.2830 (3.0352)	Prec@1 26.953 (29.750)	Prec@5 53.906 (58.728)
Epoch: [51][5320/7045]	Time 0.348 (0.245)	Data 0.296 (0.182)	Loss 3.2335 (3.0353)	Prec@1 29.688 (29.747)	Prec@5 52.734 (58.725)
Epoch: [51][5330/7045]	Time 0.328 (0.245)	Data 0.276 (0.182)	Loss 3.0525 (3.0354)	Prec@1 30.078 (29.746)	Prec@5 58.594 (58.722)
Epoch: [51][5340/7045]	Time 0.102 (0.245)	Data 0.044 (0.182)	Loss 2.8975 (3.0354)	Prec@1 30.078 (29.747)	Prec@5 59.375 (58.722)
Epoch: [51][5350/7045]	Time 0.324 (0.245)	Data 0.270 (0.182)	Loss 3.0134 (3.0354)	Prec@1 32.812 (29.748)	Prec@5 59.766 (58.725)
Epoch: [51][5360/7045]	Time 0.223 (0.245)	Data 0.170 (0.182)	Loss 3.0475 (3.0354)	Prec@1 30.859 (29.749)	Prec@5 60.547 (58.725)
Epoch: [51][5370/7045]	Time 0.468 (0.245)	Data 0.417 (0.182)	Loss 3.3072 (3.0354)	Prec@1 23.828 (29.747)	Prec@5 58.203 (58.726)
Epoch: [51][5380/7045]	Time 0.121 (0.245)	Data 0.069 (0.182)	Loss 3.0461 (3.0354)	Prec@1 28.906 (29.747)	Prec@5 57.812 (58.726)
Epoch: [51][5390/7045]	Time 0.459 (0.245)	Data 0.407 (0.182)	Loss 3.0849 (3.0354)	Prec@1 28.906 (29.748)	Prec@5 57.422 (58.726)
Epoch: [51][5400/7045]	Time 0.286 (0.245)	Data 0.234 (0.182)	Loss 3.1682 (3.0353)	Prec@1 28.906 (29.749)	Prec@5 54.688 (58.729)
Epoch: [51][5410/7045]	Time 0.394 (0.245)	Data 0.343 (0.182)	Loss 3.2055 (3.0354)	Prec@1 27.734 (29.748)	Prec@5 56.641 (58.730)
Epoch: [51][5420/7045]	Time 0.143 (0.245)	Data 0.091 (0.182)	Loss 3.0818 (3.0355)	Prec@1 32.031 (29.745)	Prec@5 56.250 (58.730)
Epoch: [51][5430/7045]	Time 0.423 (0.245)	Data 0.372 (0.182)	Loss 3.1531 (3.0355)	Prec@1 30.078 (29.745)	Prec@5 55.859 (58.730)
Epoch: [51][5440/7045]	Time 0.326 (0.245)	Data 0.276 (0.182)	Loss 3.0134 (3.0356)	Prec@1 31.641 (29.743)	Prec@5 58.594 (58.727)
Epoch: [51][5450/7045]	Time 0.151 (0.245)	Data 0.100 (0.182)	Loss 2.9343 (3.0356)	Prec@1 31.250 (29.743)	Prec@5 60.547 (58.729)
Epoch: [51][5460/7045]	Time 0.174 (0.245)	Data 0.122 (0.182)	Loss 3.0794 (3.0356)	Prec@1 26.562 (29.740)	Prec@5 56.641 (58.728)
Epoch: [51][5470/7045]	Time 0.277 (0.245)	Data 0.226 (0.182)	Loss 3.0464 (3.0356)	Prec@1 26.953 (29.742)	Prec@5 60.156 (58.729)
Epoch: [51][5480/7045]	Time 0.456 (0.245)	Data 0.399 (0.182)	Loss 2.9830 (3.0356)	Prec@1 33.984 (29.742)	Prec@5 58.594 (58.727)
Epoch: [51][5490/7045]	Time 0.223 (0.245)	Data 0.173 (0.182)	Loss 3.0291 (3.0356)	Prec@1 30.078 (29.744)	Prec@5 58.984 (58.727)
Epoch: [51][5500/7045]	Time 0.422 (0.245)	Data 0.371 (0.182)	Loss 3.1668 (3.0357)	Prec@1 31.250 (29.742)	Prec@5 54.297 (58.725)
Epoch: [51][5510/7045]	Time 0.402 (0.245)	Data 0.351 (0.182)	Loss 2.9988 (3.0358)	Prec@1 33.984 (29.740)	Prec@5 59.766 (58.726)
Epoch: [51][5520/7045]	Time 0.103 (0.245)	Data 0.001 (0.182)	Loss 2.8859 (3.0357)	Prec@1 32.422 (29.741)	Prec@5 63.672 (58.726)
Epoch: [51][5530/7045]	Time 0.403 (0.245)	Data 0.352 (0.182)	Loss 3.0652 (3.0359)	Prec@1 30.078 (29.739)	Prec@5 59.766 (58.724)
Epoch: [51][5540/7045]	Time 0.319 (0.245)	Data 0.256 (0.182)	Loss 3.0438 (3.0358)	Prec@1 27.344 (29.739)	Prec@5 59.766 (58.727)
Epoch: [51][5550/7045]	Time 0.141 (0.245)	Data 0.089 (0.182)	Loss 3.1400 (3.0357)	Prec@1 28.125 (29.739)	Prec@5 54.297 (58.729)
Epoch: [51][5560/7045]	Time 0.582 (0.245)	Data 0.532 (0.182)	Loss 3.0780 (3.0358)	Prec@1 32.812 (29.739)	Prec@5 59.375 (58.729)
Epoch: [51][5570/7045]	Time 0.220 (0.245)	Data 0.169 (0.182)	Loss 2.9880 (3.0358)	Prec@1 30.078 (29.739)	Prec@5 57.031 (58.727)
Epoch: [51][5580/7045]	Time 0.249 (0.245)	Data 0.192 (0.182)	Loss 2.9080 (3.0359)	Prec@1 35.156 (29.739)	Prec@5 60.938 (58.725)
Epoch: [51][5590/7045]	Time 0.405 (0.245)	Data 0.354 (0.182)	Loss 3.2987 (3.0359)	Prec@1 27.734 (29.738)	Prec@5 51.953 (58.724)
Epoch: [51][5600/7045]	Time 0.520 (0.245)	Data 0.468 (0.183)	Loss 2.9261 (3.0359)	Prec@1 34.766 (29.739)	Prec@5 62.891 (58.725)
Epoch: [51][5610/7045]	Time 0.108 (0.245)	Data 0.007 (0.183)	Loss 3.1251 (3.0362)	Prec@1 32.812 (29.734)	Prec@5 54.297 (58.721)
Epoch: [51][5620/7045]	Time 0.446 (0.245)	Data 0.395 (0.183)	Loss 3.2062 (3.0362)	Prec@1 26.562 (29.733)	Prec@5 54.297 (58.720)
Epoch: [51][5630/7045]	Time 0.108 (0.245)	Data 0.055 (0.183)	Loss 3.0379 (3.0363)	Prec@1 27.734 (29.731)	Prec@5 57.422 (58.723)
Epoch: [51][5640/7045]	Time 0.170 (0.245)	Data 0.118 (0.183)	Loss 3.1230 (3.0362)	Prec@1 27.344 (29.732)	Prec@5 58.203 (58.725)
Epoch: [51][5650/7045]	Time 0.102 (0.245)	Data 0.007 (0.183)	Loss 3.0293 (3.0361)	Prec@1 30.859 (29.735)	Prec@5 61.719 (58.728)
Epoch: [51][5660/7045]	Time 0.324 (0.245)	Data 0.273 (0.183)	Loss 3.2119 (3.0361)	Prec@1 24.219 (29.733)	Prec@5 55.469 (58.728)
Epoch: [51][5670/7045]	Time 0.128 (0.245)	Data 0.076 (0.183)	Loss 3.0630 (3.0361)	Prec@1 26.562 (29.734)	Prec@5 58.984 (58.730)
Epoch: [51][5680/7045]	Time 0.369 (0.245)	Data 0.318 (0.183)	Loss 2.8994 (3.0360)	Prec@1 29.688 (29.731)	Prec@5 63.281 (58.731)
Epoch: [51][5690/7045]	Time 0.110 (0.245)	Data 0.057 (0.183)	Loss 2.9838 (3.0360)	Prec@1 33.984 (29.734)	Prec@5 59.766 (58.731)
Epoch: [51][5700/7045]	Time 0.103 (0.245)	Data 0.051 (0.183)	Loss 3.1879 (3.0361)	Prec@1 28.516 (29.735)	Prec@5 53.516 (58.727)
Epoch: [51][5710/7045]	Time 0.359 (0.245)	Data 0.308 (0.183)	Loss 3.0213 (3.0360)	Prec@1 28.516 (29.735)	Prec@5 57.812 (58.730)
Epoch: [51][5720/7045]	Time 0.102 (0.245)	Data 0.001 (0.183)	Loss 3.0485 (3.0359)	Prec@1 28.906 (29.736)	Prec@5 57.422 (58.730)
Epoch: [51][5730/7045]	Time 0.510 (0.245)	Data 0.459 (0.183)	Loss 3.1536 (3.0359)	Prec@1 27.344 (29.738)	Prec@5 53.516 (58.727)
Epoch: [51][5740/7045]	Time 0.159 (0.245)	Data 0.107 (0.183)	Loss 3.0101 (3.0360)	Prec@1 30.859 (29.734)	Prec@5 60.547 (58.726)
Epoch: [51][5750/7045]	Time 0.552 (0.245)	Data 0.499 (0.183)	Loss 3.1428 (3.0362)	Prec@1 28.125 (29.733)	Prec@5 57.031 (58.722)
Epoch: [51][5760/7045]	Time 0.102 (0.245)	Data 0.008 (0.183)	Loss 3.0227 (3.0361)	Prec@1 29.688 (29.734)	Prec@5 59.766 (58.722)
Epoch: [51][5770/7045]	Time 0.167 (0.245)	Data 0.115 (0.183)	Loss 2.9787 (3.0362)	Prec@1 30.469 (29.735)	Prec@5 62.109 (58.721)
Epoch: [51][5780/7045]	Time 0.203 (0.245)	Data 0.152 (0.183)	Loss 3.0700 (3.0362)	Prec@1 25.000 (29.732)	Prec@5 57.031 (58.718)
Epoch: [51][5790/7045]	Time 0.103 (0.245)	Data 0.050 (0.183)	Loss 3.0863 (3.0364)	Prec@1 31.641 (29.731)	Prec@5 57.812 (58.716)
Epoch: [51][5800/7045]	Time 0.365 (0.245)	Data 0.315 (0.183)	Loss 3.0634 (3.0364)	Prec@1 29.688 (29.730)	Prec@5 56.250 (58.714)
Epoch: [51][5810/7045]	Time 0.105 (0.245)	Data 0.053 (0.183)	Loss 3.1131 (3.0365)	Prec@1 29.688 (29.729)	Prec@5 57.422 (58.712)
Epoch: [51][5820/7045]	Time 0.145 (0.245)	Data 0.092 (0.183)	Loss 2.7526 (3.0365)	Prec@1 30.078 (29.730)	Prec@5 63.281 (58.710)
Epoch: [51][5830/7045]	Time 0.103 (0.246)	Data 0.001 (0.183)	Loss 3.1183 (3.0366)	Prec@1 31.250 (29.729)	Prec@5 56.641 (58.709)
Epoch: [51][5840/7045]	Time 0.102 (0.245)	Data 0.001 (0.183)	Loss 3.1279 (3.0366)	Prec@1 27.344 (29.730)	Prec@5 55.859 (58.709)
Epoch: [51][5850/7045]	Time 0.204 (0.246)	Data 0.152 (0.183)	Loss 3.0040 (3.0367)	Prec@1 31.250 (29.728)	Prec@5 62.109 (58.707)
Epoch: [51][5860/7045]	Time 0.102 (0.246)	Data 0.001 (0.183)	Loss 2.9306 (3.0366)	Prec@1 26.562 (29.728)	Prec@5 59.766 (58.708)
Epoch: [51][5870/7045]	Time 0.200 (0.246)	Data 0.148 (0.183)	Loss 3.2195 (3.0367)	Prec@1 28.125 (29.726)	Prec@5 54.688 (58.705)
Epoch: [51][5880/7045]	Time 0.154 (0.246)	Data 0.102 (0.183)	Loss 3.1282 (3.0367)	Prec@1 27.344 (29.723)	Prec@5 57.812 (58.704)
Epoch: [51][5890/7045]	Time 0.249 (0.246)	Data 0.198 (0.183)	Loss 2.9993 (3.0369)	Prec@1 30.469 (29.720)	Prec@5 60.547 (58.701)
Epoch: [51][5900/7045]	Time 0.326 (0.246)	Data 0.274 (0.183)	Loss 3.1933 (3.0370)	Prec@1 26.953 (29.721)	Prec@5 54.297 (58.698)
Epoch: [51][5910/7045]	Time 0.205 (0.246)	Data 0.154 (0.183)	Loss 3.2741 (3.0370)	Prec@1 26.172 (29.719)	Prec@5 52.734 (58.695)
Epoch: [51][5920/7045]	Time 0.581 (0.246)	Data 0.524 (0.183)	Loss 3.1826 (3.0371)	Prec@1 28.516 (29.717)	Prec@5 58.984 (58.695)
Epoch: [51][5930/7045]	Time 0.153 (0.246)	Data 0.102 (0.183)	Loss 2.9890 (3.0370)	Prec@1 31.641 (29.719)	Prec@5 56.641 (58.694)
Epoch: [51][5940/7045]	Time 0.362 (0.246)	Data 0.309 (0.183)	Loss 2.8646 (3.0369)	Prec@1 28.906 (29.721)	Prec@5 65.625 (58.698)
Epoch: [51][5950/7045]	Time 0.102 (0.246)	Data 0.050 (0.183)	Loss 2.8484 (3.0368)	Prec@1 35.156 (29.723)	Prec@5 63.672 (58.698)
Epoch: [51][5960/7045]	Time 0.274 (0.246)	Data 0.222 (0.183)	Loss 2.9876 (3.0368)	Prec@1 31.250 (29.723)	Prec@5 60.938 (58.698)
Epoch: [51][5970/7045]	Time 0.101 (0.246)	Data 0.044 (0.183)	Loss 3.1389 (3.0368)	Prec@1 25.391 (29.722)	Prec@5 58.594 (58.697)
Epoch: [51][5980/7045]	Time 0.101 (0.246)	Data 0.004 (0.183)	Loss 3.1703 (3.0368)	Prec@1 28.906 (29.723)	Prec@5 57.422 (58.694)
Epoch: [51][5990/7045]	Time 0.125 (0.246)	Data 0.073 (0.183)	Loss 3.0569 (3.0369)	Prec@1 30.078 (29.724)	Prec@5 57.422 (58.692)
Epoch: [51][6000/7045]	Time 0.101 (0.246)	Data 0.001 (0.183)	Loss 2.9035 (3.0368)	Prec@1 32.812 (29.727)	Prec@5 60.156 (58.692)
Epoch: [51][6010/7045]	Time 0.126 (0.246)	Data 0.076 (0.183)	Loss 2.9470 (3.0369)	Prec@1 29.297 (29.727)	Prec@5 60.938 (58.691)
Epoch: [51][6020/7045]	Time 0.102 (0.246)	Data 0.006 (0.183)	Loss 3.0161 (3.0368)	Prec@1 30.469 (29.727)	Prec@5 60.547 (58.692)
Epoch: [51][6030/7045]	Time 0.167 (0.246)	Data 0.116 (0.183)	Loss 3.0929 (3.0368)	Prec@1 26.953 (29.728)	Prec@5 59.375 (58.693)
Epoch: [51][6040/7045]	Time 0.205 (0.246)	Data 0.154 (0.183)	Loss 3.1208 (3.0368)	Prec@1 26.562 (29.727)	Prec@5 56.250 (58.691)
Epoch: [51][6050/7045]	Time 0.179 (0.246)	Data 0.128 (0.183)	Loss 2.9105 (3.0368)	Prec@1 31.250 (29.727)	Prec@5 61.719 (58.692)
Epoch: [51][6060/7045]	Time 0.485 (0.246)	Data 0.423 (0.183)	Loss 2.9875 (3.0367)	Prec@1 32.422 (29.730)	Prec@5 58.203 (58.694)
Epoch: [51][6070/7045]	Time 0.106 (0.246)	Data 0.055 (0.183)	Loss 3.1109 (3.0368)	Prec@1 28.125 (29.729)	Prec@5 56.641 (58.693)
Epoch: [51][6080/7045]	Time 0.102 (0.246)	Data 0.050 (0.183)	Loss 3.1222 (3.0368)	Prec@1 28.125 (29.727)	Prec@5 57.812 (58.691)
Epoch: [51][6090/7045]	Time 0.099 (0.246)	Data 0.046 (0.183)	Loss 3.0808 (3.0369)	Prec@1 28.516 (29.726)	Prec@5 62.500 (58.690)
Epoch: [51][6100/7045]	Time 0.127 (0.246)	Data 0.075 (0.183)	Loss 3.2148 (3.0370)	Prec@1 23.438 (29.725)	Prec@5 54.297 (58.687)
Epoch: [51][6110/7045]	Time 0.252 (0.246)	Data 0.201 (0.183)	Loss 2.8057 (3.0369)	Prec@1 34.766 (29.726)	Prec@5 63.281 (58.687)
Epoch: [51][6120/7045]	Time 0.518 (0.246)	Data 0.467 (0.183)	Loss 3.2429 (3.0370)	Prec@1 25.000 (29.723)	Prec@5 57.812 (58.686)
Epoch: [51][6130/7045]	Time 0.102 (0.246)	Data 0.001 (0.183)	Loss 3.1687 (3.0371)	Prec@1 26.953 (29.720)	Prec@5 58.203 (58.681)
Epoch: [51][6140/7045]	Time 0.435 (0.246)	Data 0.382 (0.183)	Loss 2.8891 (3.0371)	Prec@1 30.469 (29.719)	Prec@5 62.891 (58.682)
Epoch: [51][6150/7045]	Time 0.101 (0.246)	Data 0.001 (0.183)	Loss 3.1595 (3.0371)	Prec@1 28.516 (29.721)	Prec@5 57.031 (58.680)
Epoch: [51][6160/7045]	Time 0.370 (0.246)	Data 0.317 (0.183)	Loss 3.4045 (3.0372)	Prec@1 27.734 (29.722)	Prec@5 48.047 (58.680)
Epoch: [51][6170/7045]	Time 0.352 (0.246)	Data 0.300 (0.183)	Loss 3.1482 (3.0371)	Prec@1 28.516 (29.724)	Prec@5 59.766 (58.682)
Epoch: [51][6180/7045]	Time 0.158 (0.246)	Data 0.106 (0.183)	Loss 3.0839 (3.0370)	Prec@1 25.781 (29.724)	Prec@5 59.766 (58.685)
Epoch: [51][6190/7045]	Time 0.167 (0.246)	Data 0.115 (0.183)	Loss 2.8389 (3.0370)	Prec@1 34.766 (29.723)	Prec@5 63.672 (58.685)
Epoch: [51][6200/7045]	Time 0.210 (0.246)	Data 0.157 (0.183)	Loss 3.0200 (3.0370)	Prec@1 26.562 (29.722)	Prec@5 61.719 (58.686)
Epoch: [51][6210/7045]	Time 0.305 (0.246)	Data 0.252 (0.183)	Loss 3.2710 (3.0370)	Prec@1 24.219 (29.722)	Prec@5 54.688 (58.685)
Epoch: [51][6220/7045]	Time 0.129 (0.246)	Data 0.070 (0.183)	Loss 3.1474 (3.0370)	Prec@1 28.516 (29.722)	Prec@5 51.172 (58.684)
Epoch: [51][6230/7045]	Time 0.532 (0.246)	Data 0.479 (0.183)	Loss 3.1035 (3.0370)	Prec@1 25.000 (29.722)	Prec@5 55.078 (58.682)
Epoch: [51][6240/7045]	Time 0.117 (0.246)	Data 0.065 (0.183)	Loss 2.8194 (3.0371)	Prec@1 34.766 (29.722)	Prec@5 61.328 (58.681)
Epoch: [51][6250/7045]	Time 0.524 (0.246)	Data 0.472 (0.184)	Loss 2.9980 (3.0372)	Prec@1 29.297 (29.721)	Prec@5 58.594 (58.679)
Epoch: [51][6260/7045]	Time 0.140 (0.246)	Data 0.088 (0.184)	Loss 2.9150 (3.0371)	Prec@1 31.250 (29.720)	Prec@5 63.672 (58.680)
Epoch: [51][6270/7045]	Time 0.101 (0.246)	Data 0.001 (0.184)	Loss 3.0815 (3.0372)	Prec@1 28.516 (29.720)	Prec@5 58.594 (58.679)
Epoch: [51][6280/7045]	Time 0.103 (0.246)	Data 0.049 (0.184)	Loss 3.1945 (3.0371)	Prec@1 28.125 (29.722)	Prec@5 55.078 (58.680)
Epoch: [51][6290/7045]	Time 0.137 (0.246)	Data 0.087 (0.184)	Loss 2.9282 (3.0372)	Prec@1 31.641 (29.720)	Prec@5 58.984 (58.680)
Epoch: [51][6300/7045]	Time 0.790 (0.246)	Data 0.731 (0.184)	Loss 2.7547 (3.0372)	Prec@1 35.156 (29.721)	Prec@5 64.844 (58.682)
Epoch: [51][6310/7045]	Time 0.107 (0.246)	Data 0.004 (0.184)	Loss 3.0384 (3.0372)	Prec@1 28.906 (29.721)	Prec@5 59.375 (58.684)
Epoch: [51][6320/7045]	Time 0.509 (0.246)	Data 0.457 (0.184)	Loss 3.0393 (3.0371)	Prec@1 33.594 (29.724)	Prec@5 62.500 (58.687)
Epoch: [51][6330/7045]	Time 0.336 (0.246)	Data 0.284 (0.184)	Loss 2.9264 (3.0370)	Prec@1 35.156 (29.725)	Prec@5 62.500 (58.689)
Epoch: [51][6340/7045]	Time 0.220 (0.246)	Data 0.160 (0.184)	Loss 2.9827 (3.0372)	Prec@1 30.078 (29.723)	Prec@5 59.766 (58.686)
Epoch: [51][6350/7045]	Time 0.310 (0.246)	Data 0.259 (0.184)	Loss 3.1538 (3.0373)	Prec@1 24.609 (29.719)	Prec@5 55.859 (58.684)
Epoch: [51][6360/7045]	Time 0.102 (0.246)	Data 0.001 (0.184)	Loss 3.2154 (3.0372)	Prec@1 25.781 (29.719)	Prec@5 56.250 (58.685)
Epoch: [51][6370/7045]	Time 0.592 (0.246)	Data 0.539 (0.184)	Loss 3.2065 (3.0372)	Prec@1 29.688 (29.718)	Prec@5 55.469 (58.683)
Epoch: [51][6380/7045]	Time 0.102 (0.246)	Data 0.001 (0.184)	Loss 3.1606 (3.0373)	Prec@1 26.953 (29.718)	Prec@5 55.859 (58.682)
Epoch: [51][6390/7045]	Time 0.788 (0.246)	Data 0.737 (0.184)	Loss 3.1296 (3.0373)	Prec@1 30.859 (29.720)	Prec@5 57.812 (58.683)
Epoch: [51][6400/7045]	Time 0.102 (0.246)	Data 0.003 (0.184)	Loss 3.0619 (3.0373)	Prec@1 31.641 (29.720)	Prec@5 58.203 (58.683)
Epoch: [51][6410/7045]	Time 0.661 (0.246)	Data 0.610 (0.184)	Loss 3.1787 (3.0373)	Prec@1 30.469 (29.719)	Prec@5 55.078 (58.683)
Epoch: [51][6420/7045]	Time 0.168 (0.246)	Data 0.116 (0.184)	Loss 3.1017 (3.0374)	Prec@1 29.688 (29.719)	Prec@5 59.766 (58.682)
Epoch: [51][6430/7045]	Time 0.360 (0.246)	Data 0.308 (0.184)	Loss 2.8747 (3.0373)	Prec@1 33.203 (29.721)	Prec@5 61.328 (58.684)
Epoch: [51][6440/7045]	Time 0.101 (0.246)	Data 0.001 (0.184)	Loss 2.9780 (3.0372)	Prec@1 30.078 (29.722)	Prec@5 57.812 (58.685)
Epoch: [51][6450/7045]	Time 0.485 (0.246)	Data 0.433 (0.184)	Loss 2.9331 (3.0371)	Prec@1 33.594 (29.724)	Prec@5 63.672 (58.688)
Epoch: [51][6460/7045]	Time 0.101 (0.246)	Data 0.001 (0.184)	Loss 2.9782 (3.0371)	Prec@1 33.984 (29.724)	Prec@5 62.891 (58.689)
Epoch: [51][6470/7045]	Time 0.358 (0.246)	Data 0.306 (0.184)	Loss 2.9682 (3.0372)	Prec@1 28.516 (29.723)	Prec@5 59.766 (58.687)
Epoch: [51][6480/7045]	Time 0.101 (0.246)	Data 0.046 (0.184)	Loss 3.3448 (3.0373)	Prec@1 24.219 (29.719)	Prec@5 53.516 (58.684)
Epoch: [51][6490/7045]	Time 0.721 (0.246)	Data 0.669 (0.184)	Loss 2.9394 (3.0374)	Prec@1 26.953 (29.717)	Prec@5 61.719 (58.681)
Epoch: [51][6500/7045]	Time 0.101 (0.246)	Data 0.001 (0.184)	Loss 2.8408 (3.0374)	Prec@1 34.766 (29.716)	Prec@5 65.234 (58.682)
Epoch: [51][6510/7045]	Time 0.608 (0.246)	Data 0.556 (0.184)	Loss 2.9603 (3.0374)	Prec@1 30.469 (29.716)	Prec@5 57.812 (58.682)
Epoch: [51][6520/7045]	Time 0.095 (0.246)	Data 0.001 (0.184)	Loss 2.9921 (3.0375)	Prec@1 31.250 (29.714)	Prec@5 62.500 (58.682)
Epoch: [51][6530/7045]	Time 0.626 (0.247)	Data 0.574 (0.184)	Loss 2.6878 (3.0376)	Prec@1 33.984 (29.712)	Prec@5 64.453 (58.681)
Epoch: [51][6540/7045]	Time 0.102 (0.246)	Data 0.001 (0.184)	Loss 2.8718 (3.0376)	Prec@1 31.641 (29.711)	Prec@5 61.719 (58.682)
Epoch: [51][6550/7045]	Time 0.479 (0.247)	Data 0.428 (0.184)	Loss 2.9365 (3.0376)	Prec@1 31.250 (29.712)	Prec@5 60.156 (58.682)
Epoch: [51][6560/7045]	Time 0.304 (0.246)	Data 0.253 (0.184)	Loss 2.8908 (3.0376)	Prec@1 32.812 (29.715)	Prec@5 58.984 (58.683)
Epoch: [51][6570/7045]	Time 0.245 (0.247)	Data 0.193 (0.184)	Loss 2.9939 (3.0376)	Prec@1 28.125 (29.714)	Prec@5 59.766 (58.683)
Epoch: [51][6580/7045]	Time 0.309 (0.246)	Data 0.259 (0.184)	Loss 2.8726 (3.0376)	Prec@1 32.031 (29.714)	Prec@5 60.156 (58.683)
Epoch: [51][6590/7045]	Time 0.136 (0.247)	Data 0.083 (0.184)	Loss 3.1559 (3.0376)	Prec@1 26.562 (29.713)	Prec@5 53.516 (58.681)
Epoch: [51][6600/7045]	Time 0.482 (0.247)	Data 0.431 (0.184)	Loss 3.0262 (3.0375)	Prec@1 28.125 (29.716)	Prec@5 57.812 (58.683)
Epoch: [51][6610/7045]	Time 0.157 (0.247)	Data 0.106 (0.184)	Loss 3.1650 (3.0375)	Prec@1 32.031 (29.716)	Prec@5 54.688 (58.683)
Epoch: [51][6620/7045]	Time 0.134 (0.247)	Data 0.082 (0.184)	Loss 3.0279 (3.0376)	Prec@1 27.344 (29.716)	Prec@5 57.031 (58.681)
Epoch: [51][6630/7045]	Time 0.135 (0.246)	Data 0.084 (0.184)	Loss 2.9843 (3.0376)	Prec@1 28.516 (29.716)	Prec@5 58.203 (58.679)
Epoch: [51][6640/7045]	Time 0.107 (0.247)	Data 0.001 (0.184)	Loss 2.9123 (3.0377)	Prec@1 28.516 (29.715)	Prec@5 58.203 (58.676)
Epoch: [51][6650/7045]	Time 0.104 (0.247)	Data 0.001 (0.184)	Loss 2.9716 (3.0376)	Prec@1 29.688 (29.715)	Prec@5 58.203 (58.676)
Epoch: [51][6660/7045]	Time 0.102 (0.247)	Data 0.005 (0.184)	Loss 3.0609 (3.0376)	Prec@1 28.906 (29.717)	Prec@5 58.203 (58.678)
Epoch: [51][6670/7045]	Time 0.102 (0.247)	Data 0.001 (0.184)	Loss 3.0671 (3.0376)	Prec@1 30.469 (29.717)	Prec@5 56.641 (58.677)
Epoch: [51][6680/7045]	Time 0.285 (0.247)	Data 0.234 (0.184)	Loss 2.9748 (3.0376)	Prec@1 27.734 (29.717)	Prec@5 60.156 (58.678)
Epoch: [51][6690/7045]	Time 0.440 (0.247)	Data 0.388 (0.184)	Loss 3.0349 (3.0375)	Prec@1 26.172 (29.716)	Prec@5 61.328 (58.678)
Epoch: [51][6700/7045]	Time 0.278 (0.247)	Data 0.219 (0.184)	Loss 3.1249 (3.0375)	Prec@1 26.953 (29.716)	Prec@5 58.984 (58.678)
Epoch: [51][6710/7045]	Time 0.576 (0.247)	Data 0.524 (0.184)	Loss 3.2057 (3.0375)	Prec@1 29.297 (29.715)	Prec@5 55.469 (58.679)
Epoch: [51][6720/7045]	Time 0.102 (0.247)	Data 0.004 (0.184)	Loss 3.1240 (3.0376)	Prec@1 27.734 (29.714)	Prec@5 58.984 (58.677)
Epoch: [51][6730/7045]	Time 0.540 (0.247)	Data 0.488 (0.184)	Loss 3.0606 (3.0376)	Prec@1 30.859 (29.714)	Prec@5 61.719 (58.678)
Epoch: [51][6740/7045]	Time 0.203 (0.247)	Data 0.151 (0.184)	Loss 3.1230 (3.0376)	Prec@1 31.250 (29.713)	Prec@5 55.469 (58.679)
Epoch: [51][6750/7045]	Time 0.528 (0.247)	Data 0.469 (0.184)	Loss 2.9612 (3.0376)	Prec@1 30.078 (29.713)	Prec@5 58.984 (58.679)
Epoch: [51][6760/7045]	Time 0.374 (0.247)	Data 0.324 (0.184)	Loss 3.0551 (3.0375)	Prec@1 28.516 (29.715)	Prec@5 57.422 (58.678)
Epoch: [51][6770/7045]	Time 0.114 (0.247)	Data 0.062 (0.184)	Loss 2.9693 (3.0375)	Prec@1 28.125 (29.717)	Prec@5 60.938 (58.678)
Epoch: [51][6780/7045]	Time 0.598 (0.247)	Data 0.538 (0.184)	Loss 2.9372 (3.0374)	Prec@1 32.031 (29.718)	Prec@5 58.203 (58.679)
Epoch: [51][6790/7045]	Time 0.102 (0.247)	Data 0.001 (0.184)	Loss 2.8672 (3.0374)	Prec@1 28.906 (29.718)	Prec@5 63.672 (58.680)
Epoch: [51][6800/7045]	Time 0.639 (0.247)	Data 0.587 (0.184)	Loss 3.0891 (3.0374)	Prec@1 26.172 (29.716)	Prec@5 58.594 (58.679)
Epoch: [51][6810/7045]	Time 0.107 (0.247)	Data 0.055 (0.184)	Loss 2.8366 (3.0374)	Prec@1 32.031 (29.716)	Prec@5 61.328 (58.679)
Epoch: [51][6820/7045]	Time 0.638 (0.247)	Data 0.586 (0.184)	Loss 3.2253 (3.0376)	Prec@1 27.734 (29.714)	Prec@5 54.297 (58.675)
Epoch: [51][6830/7045]	Time 0.213 (0.247)	Data 0.162 (0.184)	Loss 2.8878 (3.0376)	Prec@1 28.516 (29.714)	Prec@5 60.547 (58.675)
Epoch: [51][6840/7045]	Time 0.226 (0.247)	Data 0.174 (0.184)	Loss 3.1537 (3.0376)	Prec@1 30.859 (29.714)	Prec@5 58.203 (58.676)
Epoch: [51][6850/7045]	Time 0.463 (0.247)	Data 0.411 (0.184)	Loss 2.9646 (3.0376)	Prec@1 29.297 (29.715)	Prec@5 60.156 (58.677)
Epoch: [51][6860/7045]	Time 0.195 (0.247)	Data 0.144 (0.184)	Loss 3.0786 (3.0377)	Prec@1 29.688 (29.714)	Prec@5 58.203 (58.676)
Epoch: [51][6870/7045]	Time 0.627 (0.247)	Data 0.568 (0.184)	Loss 3.0665 (3.0377)	Prec@1 27.734 (29.713)	Prec@5 55.859 (58.676)
Epoch: [51][6880/7045]	Time 0.105 (0.247)	Data 0.053 (0.184)	Loss 2.9404 (3.0376)	Prec@1 32.031 (29.714)	Prec@5 61.328 (58.676)
Epoch: [51][6890/7045]	Time 0.478 (0.247)	Data 0.426 (0.184)	Loss 2.7227 (3.0376)	Prec@1 32.422 (29.714)	Prec@5 64.453 (58.676)
Epoch: [51][6900/7045]	Time 0.291 (0.247)	Data 0.239 (0.184)	Loss 2.9931 (3.0376)	Prec@1 34.375 (29.716)	Prec@5 58.203 (58.676)
Epoch: [51][6910/7045]	Time 0.150 (0.247)	Data 0.098 (0.184)	Loss 3.0764 (3.0376)	Prec@1 28.516 (29.716)	Prec@5 61.719 (58.677)
Epoch: [51][6920/7045]	Time 0.479 (0.247)	Data 0.426 (0.184)	Loss 3.1600 (3.0376)	Prec@1 26.953 (29.717)	Prec@5 58.984 (58.677)
Epoch: [51][6930/7045]	Time 0.101 (0.247)	Data 0.006 (0.184)	Loss 3.0293 (3.0377)	Prec@1 28.906 (29.715)	Prec@5 57.422 (58.675)
Epoch: [51][6940/7045]	Time 0.503 (0.247)	Data 0.450 (0.184)	Loss 3.0902 (3.0377)	Prec@1 24.609 (29.715)	Prec@5 57.422 (58.674)
Epoch: [51][6950/7045]	Time 0.119 (0.247)	Data 0.067 (0.184)	Loss 3.1325 (3.0377)	Prec@1 30.469 (29.714)	Prec@5 53.516 (58.673)
Epoch: [51][6960/7045]	Time 0.253 (0.247)	Data 0.201 (0.184)	Loss 3.0198 (3.0377)	Prec@1 29.688 (29.713)	Prec@5 58.984 (58.673)
Epoch: [51][6970/7045]	Time 0.247 (0.247)	Data 0.195 (0.184)	Loss 3.1729 (3.0378)	Prec@1 29.688 (29.711)	Prec@5 57.812 (58.671)
Epoch: [51][6980/7045]	Time 0.141 (0.247)	Data 0.090 (0.184)	Loss 2.6897 (3.0378)	Prec@1 33.984 (29.711)	Prec@5 66.406 (58.672)
Epoch: [51][6990/7045]	Time 0.354 (0.247)	Data 0.303 (0.184)	Loss 3.1080 (3.0377)	Prec@1 31.641 (29.712)	Prec@5 54.688 (58.673)
Epoch: [51][7000/7045]	Time 0.115 (0.247)	Data 0.058 (0.184)	Loss 3.0839 (3.0376)	Prec@1 28.906 (29.712)	Prec@5 54.688 (58.674)
Epoch: [51][7010/7045]	Time 0.746 (0.247)	Data 0.693 (0.184)	Loss 3.0893 (3.0377)	Prec@1 28.125 (29.710)	Prec@5 57.422 (58.672)
Epoch: [51][7020/7045]	Time 0.102 (0.247)	Data 0.049 (0.184)	Loss 2.9472 (3.0377)	Prec@1 32.031 (29.709)	Prec@5 64.062 (58.673)
Epoch: [51][7030/7045]	Time 0.335 (0.247)	Data 0.282 (0.184)	Loss 3.0365 (3.0376)	Prec@1 29.297 (29.710)	Prec@5 55.859 (58.675)
Epoch: [51][7040/7045]	Time 0.319 (0.247)	Data 0.267 (0.184)	Loss 2.9612 (3.0376)	Prec@1 29.688 (29.710)	Prec@5 58.594 (58.675)
Test: [0/143]	Time 1.375 (1.375)	Loss 2.5669 (2.5669)	Prec@1 41.016 (41.016)	Prec@5 68.359 (68.359)
Test: [10/143]	Time 0.049 (0.258)	Loss 2.3952 (2.4632)	Prec@1 42.578 (40.874)	Prec@5 71.484 (70.419)
Test: [20/143]	Time 0.393 (0.233)	Loss 2.6622 (2.4032)	Prec@1 33.594 (40.476)	Prec@5 66.406 (72.228)
Test: [30/143]	Time 0.048 (0.215)	Loss 2.7646 (2.4243)	Prec@1 35.156 (40.663)	Prec@5 62.109 (71.396)
Test: [40/143]	Time 0.409 (0.213)	Loss 3.0403 (2.4425)	Prec@1 22.266 (40.139)	Prec@5 58.203 (70.846)
Test: [50/143]	Time 0.048 (0.202)	Loss 2.2019 (2.4855)	Prec@1 37.500 (38.588)	Prec@5 77.344 (70.167)
Test: [60/143]	Time 0.048 (0.202)	Loss 2.9071 (2.4727)	Prec@1 27.344 (38.858)	Prec@5 60.156 (70.505)
Test: [70/143]	Time 0.048 (0.200)	Loss 3.2733 (2.4694)	Prec@1 18.750 (39.002)	Prec@5 51.953 (70.560)
Test: [80/143]	Time 0.346 (0.200)	Loss 2.3303 (2.4650)	Prec@1 42.969 (39.135)	Prec@5 74.609 (70.708)
Test: [90/143]	Time 0.479 (0.199)	Loss 2.1280 (2.4590)	Prec@1 46.484 (39.196)	Prec@5 82.031 (70.875)
Test: [100/143]	Time 0.049 (0.196)	Loss 2.3575 (2.4534)	Prec@1 45.312 (39.167)	Prec@5 76.953 (70.966)
Test: [110/143]	Time 0.057 (0.195)	Loss 2.2721 (2.4439)	Prec@1 46.875 (39.636)	Prec@5 70.703 (71.161)
Test: [120/143]	Time 0.066 (0.195)	Loss 1.9273 (2.4327)	Prec@1 57.812 (39.873)	Prec@5 81.641 (71.333)
Test: [130/143]	Time 0.105 (0.193)	Loss 1.9314 (2.4347)	Prec@1 57.031 (39.978)	Prec@5 75.781 (71.133)
Test: [140/143]	Time 0.454 (0.194)	Loss 3.2847 (2.4609)	Prec@1 20.703 (39.428)	Prec@5 54.297 (70.592)
 * Prec@1 39.438 Prec@5 70.611
Epoch: [52][0/7045]	Time 2.527 (2.527)	Data 2.470 (2.470)	Loss 3.1357 (3.1357)	Prec@1 26.953 (26.953)	Prec@5 57.031 (57.031)
Epoch: [52][10/7045]	Time 0.160 (0.433)	Data 0.107 (0.358)	Loss 2.8740 (2.9873)	Prec@1 32.422 (30.895)	Prec@5 61.328 (59.162)
Epoch: [52][20/7045]	Time 0.456 (0.354)	Data 0.395 (0.281)	Loss 2.8782 (2.9851)	Prec@1 32.812 (30.655)	Prec@5 64.844 (59.617)
Epoch: [52][30/7045]	Time 0.349 (0.320)	Data 0.297 (0.251)	Loss 3.1571 (3.0169)	Prec@1 29.297 (30.217)	Prec@5 54.297 (58.833)
Epoch: [52][40/7045]	Time 0.185 (0.303)	Data 0.134 (0.236)	Loss 3.0497 (3.0140)	Prec@1 29.688 (30.116)	Prec@5 57.422 (59.089)
Epoch: [52][50/7045]	Time 0.452 (0.294)	Data 0.400 (0.226)	Loss 2.9152 (3.0114)	Prec@1 32.031 (29.963)	Prec@5 63.281 (59.252)
Epoch: [52][60/7045]	Time 0.110 (0.285)	Data 0.001 (0.217)	Loss 3.1297 (3.0078)	Prec@1 26.953 (30.033)	Prec@5 55.078 (59.221)
Epoch: [52][70/7045]	Time 0.606 (0.285)	Data 0.554 (0.216)	Loss 3.0033 (3.0111)	Prec@1 28.906 (29.963)	Prec@5 60.547 (59.226)
Epoch: [52][80/7045]	Time 0.099 (0.277)	Data 0.048 (0.208)	Loss 3.1689 (3.0146)	Prec@1 22.266 (29.745)	Prec@5 57.031 (59.303)
Epoch: [52][90/7045]	Time 0.206 (0.275)	Data 0.155 (0.209)	Loss 3.0795 (3.0112)	Prec@1 31.641 (29.902)	Prec@5 57.812 (59.362)
Epoch: [52][100/7045]	Time 0.203 (0.273)	Data 0.152 (0.208)	Loss 2.8863 (3.0087)	Prec@1 30.469 (30.009)	Prec@5 62.500 (59.433)
Epoch: [52][110/7045]	Time 0.125 (0.271)	Data 0.074 (0.206)	Loss 2.9475 (3.0043)	Prec@1 33.203 (30.050)	Prec@5 62.891 (59.537)
Epoch: [52][120/7045]	Time 0.371 (0.270)	Data 0.320 (0.205)	Loss 3.1862 (3.0071)	Prec@1 25.781 (30.039)	Prec@5 55.859 (59.391)
Epoch: [52][130/7045]	Time 0.315 (0.268)	Data 0.262 (0.204)	Loss 3.0271 (3.0066)	Prec@1 30.469 (30.004)	Prec@5 60.938 (59.402)
Epoch: [52][140/7045]	Time 0.204 (0.267)	Data 0.153 (0.204)	Loss 3.0383 (3.0083)	Prec@1 30.469 (29.904)	Prec@5 59.375 (59.347)
Epoch: [52][150/7045]	Time 0.102 (0.267)	Data 0.001 (0.204)	Loss 3.0072 (3.0043)	Prec@1 30.078 (30.057)	Prec@5 59.766 (59.378)
Epoch: [52][160/7045]	Time 0.147 (0.265)	Data 0.095 (0.203)	Loss 2.9200 (3.0076)	Prec@1 29.297 (29.899)	Prec@5 55.859 (59.288)
Epoch: [52][170/7045]	Time 0.178 (0.265)	Data 0.127 (0.203)	Loss 2.9880 (3.0080)	Prec@1 29.297 (29.921)	Prec@5 58.594 (59.220)
Epoch: [52][180/7045]	Time 0.344 (0.264)	Data 0.294 (0.202)	Loss 2.9580 (3.0060)	Prec@1 28.125 (29.946)	Prec@5 58.203 (59.228)
Epoch: [52][190/7045]	Time 0.128 (0.263)	Data 0.070 (0.202)	Loss 3.1324 (3.0107)	Prec@1 28.906 (29.910)	Prec@5 57.422 (59.142)
Epoch: [52][200/7045]	Time 0.787 (0.265)	Data 0.736 (0.203)	Loss 3.0710 (3.0093)	Prec@1 30.859 (29.985)	Prec@5 58.984 (59.202)
Epoch: [52][210/7045]	Time 0.102 (0.262)	Data 0.001 (0.199)	Loss 2.8039 (3.0067)	Prec@1 32.812 (30.013)	Prec@5 64.062 (59.281)
Epoch: [52][220/7045]	Time 0.482 (0.263)	Data 0.430 (0.200)	Loss 2.9856 (3.0057)	Prec@1 28.125 (30.002)	Prec@5 60.156 (59.258)
Epoch: [52][230/7045]	Time 0.107 (0.262)	Data 0.001 (0.198)	Loss 3.1040 (3.0050)	Prec@1 27.734 (30.027)	Prec@5 59.766 (59.346)
Epoch: [52][240/7045]	Time 0.504 (0.262)	Data 0.453 (0.198)	Loss 2.8938 (3.0035)	Prec@1 33.203 (30.081)	Prec@5 60.938 (59.359)
Epoch: [52][250/7045]	Time 0.098 (0.261)	Data 0.046 (0.198)	Loss 3.0730 (3.0042)	Prec@1 28.125 (30.070)	Prec@5 55.078 (59.319)
Epoch: [52][260/7045]	Time 0.309 (0.261)	Data 0.256 (0.198)	Loss 2.9353 (3.0042)	Prec@1 30.859 (30.087)	Prec@5 62.109 (59.314)
Epoch: [52][270/7045]	Time 0.102 (0.260)	Data 0.001 (0.196)	Loss 3.0414 (3.0063)	Prec@1 28.125 (30.078)	Prec@5 58.203 (59.270)
Epoch: [52][280/7045]	Time 0.168 (0.261)	Data 0.108 (0.197)	Loss 2.9705 (3.0073)	Prec@1 31.250 (30.073)	Prec@5 60.156 (59.258)
Epoch: [52][290/7045]	Time 0.164 (0.260)	Data 0.113 (0.196)	Loss 3.0986 (3.0097)	Prec@1 27.734 (30.049)	Prec@5 54.688 (59.213)
Epoch: [52][300/7045]	Time 0.208 (0.260)	Data 0.156 (0.196)	Loss 3.1657 (3.0102)	Prec@1 31.250 (30.077)	Prec@5 57.031 (59.200)
Epoch: [52][310/7045]	Time 0.482 (0.261)	Data 0.432 (0.197)	Loss 3.0158 (3.0089)	Prec@1 28.906 (30.106)	Prec@5 61.719 (59.229)
Epoch: [52][320/7045]	Time 0.255 (0.260)	Data 0.204 (0.196)	Loss 2.8661 (3.0094)	Prec@1 31.250 (30.118)	Prec@5 61.328 (59.220)
Epoch: [52][330/7045]	Time 0.201 (0.259)	Data 0.148 (0.196)	Loss 2.9568 (3.0081)	Prec@1 32.422 (30.143)	Prec@5 60.156 (59.225)
Epoch: [52][340/7045]	Time 0.366 (0.259)	Data 0.314 (0.196)	Loss 2.7696 (3.0073)	Prec@1 35.156 (30.195)	Prec@5 67.188 (59.254)
Epoch: [52][350/7045]	Time 0.102 (0.259)	Data 0.011 (0.195)	Loss 3.0411 (3.0092)	Prec@1 25.781 (30.157)	Prec@5 57.812 (59.229)
Epoch: [52][360/7045]	Time 0.528 (0.259)	Data 0.477 (0.196)	Loss 3.0012 (3.0099)	Prec@1 28.516 (30.132)	Prec@5 59.375 (59.198)
Epoch: [52][370/7045]	Time 0.132 (0.258)	Data 0.080 (0.195)	Loss 3.1704 (3.0112)	Prec@1 29.297 (30.098)	Prec@5 58.594 (59.174)
Epoch: [52][380/7045]	Time 0.442 (0.258)	Data 0.390 (0.195)	Loss 3.1618 (3.0113)	Prec@1 25.781 (30.098)	Prec@5 53.516 (59.150)
Epoch: [52][390/7045]	Time 0.330 (0.258)	Data 0.278 (0.195)	Loss 3.0723 (3.0121)	Prec@1 30.859 (30.049)	Prec@5 57.422 (59.126)
Epoch: [52][400/7045]	Time 0.416 (0.258)	Data 0.364 (0.195)	Loss 2.8586 (3.0128)	Prec@1 35.156 (30.044)	Prec@5 58.984 (59.078)
Epoch: [52][410/7045]	Time 0.351 (0.258)	Data 0.299 (0.195)	Loss 3.1051 (3.0128)	Prec@1 31.250 (30.035)	Prec@5 56.250 (59.059)
Epoch: [52][420/7045]	Time 0.111 (0.258)	Data 0.008 (0.195)	Loss 3.0761 (3.0145)	Prec@1 27.344 (30.040)	Prec@5 55.469 (59.035)
Epoch: [52][430/7045]	Time 0.171 (0.257)	Data 0.121 (0.194)	Loss 3.0518 (3.0144)	Prec@1 24.219 (30.014)	Prec@5 58.594 (59.051)
Epoch: [52][440/7045]	Time 0.384 (0.257)	Data 0.323 (0.195)	Loss 2.9822 (3.0145)	Prec@1 31.641 (30.035)	Prec@5 59.375 (59.058)
Epoch: [52][450/7045]	Time 0.101 (0.257)	Data 0.001 (0.194)	Loss 2.9560 (3.0155)	Prec@1 26.562 (30.011)	Prec@5 56.641 (59.041)
Epoch: [52][460/7045]	Time 0.334 (0.257)	Data 0.276 (0.195)	Loss 3.1401 (3.0146)	Prec@1 26.562 (30.026)	Prec@5 52.344 (59.058)
Epoch: [52][470/7045]	Time 0.213 (0.257)	Data 0.162 (0.194)	Loss 3.2301 (3.0154)	Prec@1 28.516 (30.041)	Prec@5 58.203 (59.057)
Epoch: [52][480/7045]	Time 0.388 (0.257)	Data 0.336 (0.195)	Loss 2.9602 (3.0166)	Prec@1 30.859 (30.056)	Prec@5 60.547 (59.070)
Epoch: [52][490/7045]	Time 0.270 (0.257)	Data 0.219 (0.194)	Loss 3.0708 (3.0173)	Prec@1 26.172 (30.034)	Prec@5 57.422 (59.026)
Epoch: [52][500/7045]	Time 0.586 (0.257)	Data 0.528 (0.195)	Loss 3.0809 (3.0163)	Prec@1 28.906 (30.041)	Prec@5 58.984 (59.056)
Epoch: [52][510/7045]	Time 0.110 (0.257)	Data 0.001 (0.194)	Loss 2.9765 (3.0173)	Prec@1 32.812 (30.031)	Prec@5 59.766 (59.026)
Epoch: [52][520/7045]	Time 0.514 (0.257)	Data 0.462 (0.195)	Loss 2.9444 (3.0173)	Prec@1 32.812 (30.018)	Prec@5 61.328 (59.020)
Epoch: [52][530/7045]	Time 0.102 (0.256)	Data 0.048 (0.194)	Loss 3.0426 (3.0184)	Prec@1 31.641 (30.008)	Prec@5 57.422 (59.001)
Epoch: [52][540/7045]	Time 0.532 (0.256)	Data 0.481 (0.194)	Loss 3.2258 (3.0190)	Prec@1 21.094 (29.986)	Prec@5 53.125 (58.992)
Epoch: [52][550/7045]	Time 0.116 (0.256)	Data 0.058 (0.194)	Loss 2.9561 (3.0180)	Prec@1 28.516 (29.999)	Prec@5 58.984 (59.006)
Epoch: [52][560/7045]	Time 0.635 (0.256)	Data 0.583 (0.194)	Loss 3.0846 (3.0175)	Prec@1 26.953 (30.006)	Prec@5 59.766 (59.017)
Epoch: [52][570/7045]	Time 0.102 (0.256)	Data 0.001 (0.193)	Loss 3.0691 (3.0181)	Prec@1 28.125 (29.990)	Prec@5 58.594 (59.018)
Epoch: [52][580/7045]	Time 0.482 (0.256)	Data 0.425 (0.193)	Loss 2.8562 (3.0171)	Prec@1 34.375 (29.995)	Prec@5 63.672 (59.021)
Epoch: [52][590/7045]	Time 0.104 (0.255)	Data 0.001 (0.193)	Loss 2.9616 (3.0165)	Prec@1 31.641 (29.991)	Prec@5 59.766 (59.050)
Epoch: [52][600/7045]	Time 0.390 (0.256)	Data 0.328 (0.193)	Loss 3.0953 (3.0171)	Prec@1 28.906 (29.985)	Prec@5 56.250 (59.043)
Epoch: [52][610/7045]	Time 0.099 (0.255)	Data 0.001 (0.192)	Loss 2.9492 (3.0170)	Prec@1 30.859 (29.988)	Prec@5 59.766 (59.040)
Epoch: [52][620/7045]	Time 0.147 (0.255)	Data 0.096 (0.192)	Loss 2.9585 (3.0169)	Prec@1 30.078 (30.008)	Prec@5 59.375 (59.035)
Epoch: [52][630/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 3.0181 (3.0167)	Prec@1 29.297 (30.016)	Prec@5 61.719 (59.044)
Epoch: [52][640/7045]	Time 0.165 (0.255)	Data 0.113 (0.191)	Loss 3.1262 (3.0165)	Prec@1 32.031 (30.011)	Prec@5 59.766 (59.056)
Epoch: [52][650/7045]	Time 0.102 (0.254)	Data 0.050 (0.190)	Loss 2.9989 (3.0161)	Prec@1 30.078 (30.005)	Prec@5 60.938 (59.056)
Epoch: [52][660/7045]	Time 0.107 (0.255)	Data 0.008 (0.191)	Loss 2.9585 (3.0161)	Prec@1 32.031 (30.018)	Prec@5 61.328 (59.058)
Epoch: [52][670/7045]	Time 0.103 (0.254)	Data 0.001 (0.190)	Loss 2.8362 (3.0149)	Prec@1 30.859 (30.030)	Prec@5 60.938 (59.076)
Epoch: [52][680/7045]	Time 0.286 (0.255)	Data 0.227 (0.190)	Loss 2.7937 (3.0143)	Prec@1 32.812 (30.027)	Prec@5 66.797 (59.086)
Epoch: [52][690/7045]	Time 0.102 (0.254)	Data 0.005 (0.190)	Loss 3.0771 (3.0153)	Prec@1 30.859 (30.015)	Prec@5 56.641 (59.053)
Epoch: [52][700/7045]	Time 0.193 (0.255)	Data 0.142 (0.190)	Loss 3.0561 (3.0158)	Prec@1 28.906 (29.996)	Prec@5 58.203 (59.050)
Epoch: [52][710/7045]	Time 0.243 (0.255)	Data 0.192 (0.191)	Loss 3.2252 (3.0169)	Prec@1 27.344 (29.988)	Prec@5 57.422 (59.032)
Epoch: [52][720/7045]	Time 0.102 (0.254)	Data 0.001 (0.190)	Loss 3.0996 (3.0170)	Prec@1 27.344 (29.990)	Prec@5 56.250 (59.040)
Epoch: [52][730/7045]	Time 0.360 (0.255)	Data 0.309 (0.191)	Loss 2.9426 (3.0176)	Prec@1 28.906 (29.968)	Prec@5 57.422 (59.023)
Epoch: [52][740/7045]	Time 0.307 (0.255)	Data 0.255 (0.190)	Loss 3.1024 (3.0183)	Prec@1 23.438 (29.959)	Prec@5 55.859 (59.001)
Epoch: [52][750/7045]	Time 0.525 (0.255)	Data 0.472 (0.191)	Loss 2.8206 (3.0173)	Prec@1 29.297 (29.964)	Prec@5 64.453 (59.020)
Epoch: [52][760/7045]	Time 0.211 (0.254)	Data 0.160 (0.190)	Loss 2.9152 (3.0171)	Prec@1 35.156 (29.982)	Prec@5 63.281 (59.033)
Epoch: [52][770/7045]	Time 0.557 (0.255)	Data 0.505 (0.191)	Loss 3.0686 (3.0182)	Prec@1 28.906 (29.973)	Prec@5 57.422 (59.012)
Epoch: [52][780/7045]	Time 0.205 (0.254)	Data 0.155 (0.190)	Loss 2.9742 (3.0186)	Prec@1 32.031 (29.969)	Prec@5 56.250 (59.001)
Epoch: [52][790/7045]	Time 0.732 (0.255)	Data 0.680 (0.191)	Loss 3.0151 (3.0190)	Prec@1 28.906 (29.959)	Prec@5 57.031 (58.998)
Epoch: [52][800/7045]	Time 0.109 (0.254)	Data 0.058 (0.190)	Loss 3.0025 (3.0195)	Prec@1 30.859 (29.944)	Prec@5 60.156 (58.997)
Epoch: [52][810/7045]	Time 0.589 (0.254)	Data 0.529 (0.190)	Loss 3.0614 (3.0190)	Prec@1 32.031 (29.950)	Prec@5 54.297 (59.003)
Epoch: [52][820/7045]	Time 0.102 (0.254)	Data 0.046 (0.190)	Loss 3.0111 (3.0183)	Prec@1 29.297 (29.959)	Prec@5 57.812 (59.011)
Epoch: [52][830/7045]	Time 0.484 (0.254)	Data 0.433 (0.190)	Loss 3.0342 (3.0181)	Prec@1 28.516 (29.967)	Prec@5 60.547 (59.022)
Epoch: [52][840/7045]	Time 0.284 (0.254)	Data 0.224 (0.190)	Loss 2.9706 (3.0182)	Prec@1 31.250 (29.961)	Prec@5 59.375 (59.014)
Epoch: [52][850/7045]	Time 0.423 (0.254)	Data 0.370 (0.190)	Loss 2.7606 (3.0174)	Prec@1 35.547 (29.970)	Prec@5 69.922 (59.047)
Epoch: [52][860/7045]	Time 0.297 (0.254)	Data 0.245 (0.190)	Loss 2.9142 (3.0178)	Prec@1 30.859 (29.960)	Prec@5 55.469 (59.020)
Epoch: [52][870/7045]	Time 0.282 (0.254)	Data 0.231 (0.190)	Loss 2.8860 (3.0174)	Prec@1 31.641 (29.974)	Prec@5 60.938 (59.037)
Epoch: [52][880/7045]	Time 0.251 (0.254)	Data 0.200 (0.191)	Loss 2.8545 (3.0174)	Prec@1 32.031 (29.976)	Prec@5 59.375 (59.025)
Epoch: [52][890/7045]	Time 0.107 (0.254)	Data 0.054 (0.190)	Loss 3.0680 (3.0173)	Prec@1 28.516 (29.983)	Prec@5 58.984 (59.025)
Epoch: [52][900/7045]	Time 0.292 (0.254)	Data 0.241 (0.191)	Loss 2.9871 (3.0178)	Prec@1 32.422 (29.978)	Prec@5 60.938 (59.010)
Epoch: [52][910/7045]	Time 0.175 (0.254)	Data 0.124 (0.191)	Loss 2.9239 (3.0181)	Prec@1 29.688 (29.974)	Prec@5 63.672 (59.014)
Epoch: [52][920/7045]	Time 0.102 (0.254)	Data 0.001 (0.190)	Loss 3.0699 (3.0175)	Prec@1 28.906 (29.986)	Prec@5 56.641 (59.022)
Epoch: [52][930/7045]	Time 0.108 (0.254)	Data 0.007 (0.191)	Loss 3.0876 (3.0182)	Prec@1 23.828 (29.965)	Prec@5 57.031 (59.008)
Epoch: [52][940/7045]	Time 0.158 (0.254)	Data 0.106 (0.190)	Loss 3.0939 (3.0178)	Prec@1 27.734 (29.970)	Prec@5 57.812 (59.013)
Epoch: [52][950/7045]	Time 0.108 (0.254)	Data 0.001 (0.191)	Loss 3.0548 (3.0178)	Prec@1 31.641 (29.979)	Prec@5 58.984 (59.018)
Epoch: [52][960/7045]	Time 0.139 (0.254)	Data 0.087 (0.190)	Loss 3.0818 (3.0180)	Prec@1 31.641 (29.978)	Prec@5 57.422 (59.014)
Epoch: [52][970/7045]	Time 0.143 (0.254)	Data 0.091 (0.190)	Loss 2.8333 (3.0176)	Prec@1 29.688 (29.987)	Prec@5 60.156 (59.022)
Epoch: [52][980/7045]	Time 0.101 (0.254)	Data 0.001 (0.190)	Loss 2.9604 (3.0177)	Prec@1 27.734 (29.984)	Prec@5 61.719 (59.019)
Epoch: [52][990/7045]	Time 0.206 (0.254)	Data 0.154 (0.190)	Loss 2.9713 (3.0183)	Prec@1 33.203 (29.983)	Prec@5 57.812 (59.004)
Epoch: [52][1000/7045]	Time 0.105 (0.254)	Data 0.054 (0.190)	Loss 2.8917 (3.0177)	Prec@1 32.812 (29.995)	Prec@5 64.453 (59.012)
Epoch: [52][1010/7045]	Time 0.442 (0.254)	Data 0.392 (0.190)	Loss 2.8885 (3.0178)	Prec@1 29.297 (29.998)	Prec@5 64.844 (59.019)
Epoch: [52][1020/7045]	Time 0.317 (0.254)	Data 0.267 (0.190)	Loss 3.1033 (3.0181)	Prec@1 29.297 (29.999)	Prec@5 56.641 (59.018)
Epoch: [52][1030/7045]	Time 0.341 (0.254)	Data 0.290 (0.190)	Loss 3.0158 (3.0181)	Prec@1 26.953 (30.003)	Prec@5 56.641 (59.018)
Epoch: [52][1040/7045]	Time 0.304 (0.254)	Data 0.252 (0.190)	Loss 2.9561 (3.0178)	Prec@1 30.078 (30.005)	Prec@5 55.469 (59.020)
Epoch: [52][1050/7045]	Time 0.196 (0.254)	Data 0.145 (0.190)	Loss 3.2368 (3.0181)	Prec@1 26.562 (30.008)	Prec@5 53.516 (59.012)
Epoch: [52][1060/7045]	Time 0.139 (0.253)	Data 0.088 (0.190)	Loss 2.8437 (3.0180)	Prec@1 34.766 (30.006)	Prec@5 62.891 (59.008)
Epoch: [52][1070/7045]	Time 0.102 (0.254)	Data 0.007 (0.190)	Loss 2.9124 (3.0179)	Prec@1 31.641 (30.012)	Prec@5 61.328 (59.010)
Epoch: [52][1080/7045]	Time 0.102 (0.253)	Data 0.001 (0.190)	Loss 2.8927 (3.0176)	Prec@1 30.078 (30.011)	Prec@5 62.891 (59.015)
Epoch: [52][1090/7045]	Time 0.107 (0.254)	Data 0.010 (0.190)	Loss 3.1766 (3.0183)	Prec@1 28.906 (29.997)	Prec@5 56.641 (59.005)
Epoch: [52][1100/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 2.9650 (3.0182)	Prec@1 25.391 (29.992)	Prec@5 65.234 (59.014)
Epoch: [52][1110/7045]	Time 0.138 (0.253)	Data 0.086 (0.190)	Loss 2.8524 (3.0180)	Prec@1 30.469 (29.995)	Prec@5 61.328 (59.023)
Epoch: [52][1120/7045]	Time 0.175 (0.253)	Data 0.124 (0.189)	Loss 3.1271 (3.0180)	Prec@1 27.734 (29.997)	Prec@5 57.422 (59.021)
Epoch: [52][1130/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 3.0412 (3.0174)	Prec@1 33.203 (30.023)	Prec@5 59.375 (59.035)
Epoch: [52][1140/7045]	Time 0.330 (0.253)	Data 0.279 (0.189)	Loss 3.0009 (3.0167)	Prec@1 30.469 (30.036)	Prec@5 58.594 (59.052)
Epoch: [52][1150/7045]	Time 0.166 (0.253)	Data 0.106 (0.189)	Loss 3.0467 (3.0163)	Prec@1 33.984 (30.050)	Prec@5 57.812 (59.063)
Epoch: [52][1160/7045]	Time 0.610 (0.253)	Data 0.560 (0.189)	Loss 3.1369 (3.0161)	Prec@1 27.734 (30.050)	Prec@5 56.641 (59.063)
Epoch: [52][1170/7045]	Time 0.111 (0.253)	Data 0.050 (0.189)	Loss 3.0366 (3.0161)	Prec@1 28.516 (30.047)	Prec@5 59.375 (59.071)
Epoch: [52][1180/7045]	Time 0.567 (0.253)	Data 0.516 (0.189)	Loss 2.8043 (3.0158)	Prec@1 32.422 (30.046)	Prec@5 65.234 (59.084)
Epoch: [52][1190/7045]	Time 0.162 (0.253)	Data 0.110 (0.189)	Loss 2.9318 (3.0156)	Prec@1 32.812 (30.051)	Prec@5 62.891 (59.096)
Epoch: [52][1200/7045]	Time 0.585 (0.253)	Data 0.520 (0.189)	Loss 2.8247 (3.0154)	Prec@1 32.422 (30.060)	Prec@5 60.547 (59.096)
Epoch: [52][1210/7045]	Time 0.246 (0.253)	Data 0.194 (0.189)	Loss 2.9273 (3.0153)	Prec@1 28.516 (30.066)	Prec@5 60.547 (59.094)
Epoch: [52][1220/7045]	Time 0.582 (0.253)	Data 0.525 (0.189)	Loss 3.1351 (3.0157)	Prec@1 27.344 (30.062)	Prec@5 55.078 (59.083)
Epoch: [52][1230/7045]	Time 0.242 (0.253)	Data 0.190 (0.189)	Loss 3.1714 (3.0154)	Prec@1 26.172 (30.063)	Prec@5 55.078 (59.085)
Epoch: [52][1240/7045]	Time 0.451 (0.253)	Data 0.391 (0.189)	Loss 2.8810 (3.0158)	Prec@1 33.203 (30.054)	Prec@5 64.844 (59.082)
Epoch: [52][1250/7045]	Time 0.267 (0.253)	Data 0.215 (0.189)	Loss 3.1605 (3.0162)	Prec@1 27.344 (30.040)	Prec@5 55.859 (59.083)
Epoch: [52][1260/7045]	Time 0.402 (0.253)	Data 0.351 (0.189)	Loss 3.0374 (3.0165)	Prec@1 30.078 (30.038)	Prec@5 59.375 (59.076)
Epoch: [52][1270/7045]	Time 0.157 (0.253)	Data 0.105 (0.189)	Loss 3.0807 (3.0167)	Prec@1 25.781 (30.035)	Prec@5 58.203 (59.067)
Epoch: [52][1280/7045]	Time 0.239 (0.253)	Data 0.188 (0.189)	Loss 3.0046 (3.0170)	Prec@1 32.031 (30.030)	Prec@5 62.891 (59.064)
Epoch: [52][1290/7045]	Time 0.281 (0.253)	Data 0.222 (0.189)	Loss 3.4731 (3.0175)	Prec@1 26.172 (30.031)	Prec@5 49.219 (59.057)
Epoch: [52][1300/7045]	Time 0.122 (0.253)	Data 0.071 (0.189)	Loss 3.1236 (3.0180)	Prec@1 30.859 (30.024)	Prec@5 55.469 (59.044)
Epoch: [52][1310/7045]	Time 0.264 (0.253)	Data 0.213 (0.189)	Loss 3.0513 (3.0186)	Prec@1 25.391 (30.012)	Prec@5 57.422 (59.040)
Epoch: [52][1320/7045]	Time 0.462 (0.253)	Data 0.403 (0.189)	Loss 3.1292 (3.0186)	Prec@1 29.297 (30.005)	Prec@5 56.250 (59.046)
Epoch: [52][1330/7045]	Time 0.113 (0.253)	Data 0.061 (0.189)	Loss 2.9761 (3.0188)	Prec@1 32.031 (30.007)	Prec@5 60.547 (59.043)
Epoch: [52][1340/7045]	Time 0.586 (0.253)	Data 0.534 (0.189)	Loss 3.0302 (3.0191)	Prec@1 32.031 (30.008)	Prec@5 56.250 (59.033)
Epoch: [52][1350/7045]	Time 0.140 (0.253)	Data 0.089 (0.189)	Loss 2.8544 (3.0188)	Prec@1 33.203 (30.010)	Prec@5 60.938 (59.038)
Epoch: [52][1360/7045]	Time 0.623 (0.253)	Data 0.572 (0.189)	Loss 3.1558 (3.0189)	Prec@1 29.688 (30.009)	Prec@5 54.297 (59.029)
Epoch: [52][1370/7045]	Time 0.227 (0.253)	Data 0.177 (0.189)	Loss 2.8709 (3.0186)	Prec@1 32.422 (30.009)	Prec@5 59.375 (59.032)
Epoch: [52][1380/7045]	Time 0.299 (0.253)	Data 0.249 (0.189)	Loss 3.0060 (3.0187)	Prec@1 27.734 (30.001)	Prec@5 56.250 (59.035)
Epoch: [52][1390/7045]	Time 0.101 (0.253)	Data 0.011 (0.189)	Loss 3.0102 (3.0185)	Prec@1 35.547 (30.012)	Prec@5 59.375 (59.039)
Epoch: [52][1400/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 2.9272 (3.0179)	Prec@1 30.469 (30.021)	Prec@5 59.375 (59.047)
Epoch: [52][1410/7045]	Time 0.125 (0.253)	Data 0.073 (0.189)	Loss 3.0327 (3.0181)	Prec@1 34.766 (30.016)	Prec@5 61.719 (59.044)
Epoch: [52][1420/7045]	Time 0.397 (0.253)	Data 0.344 (0.189)	Loss 2.9049 (3.0177)	Prec@1 28.516 (30.026)	Prec@5 62.109 (59.054)
Epoch: [52][1430/7045]	Time 0.153 (0.252)	Data 0.101 (0.189)	Loss 3.1026 (3.0179)	Prec@1 28.516 (30.025)	Prec@5 57.031 (59.048)
Epoch: [52][1440/7045]	Time 0.493 (0.253)	Data 0.443 (0.190)	Loss 2.9504 (3.0176)	Prec@1 31.250 (30.029)	Prec@5 58.594 (59.050)
Epoch: [52][1450/7045]	Time 0.307 (0.253)	Data 0.254 (0.190)	Loss 3.1774 (3.0179)	Prec@1 26.172 (30.021)	Prec@5 56.641 (59.036)
Epoch: [52][1460/7045]	Time 0.621 (0.253)	Data 0.570 (0.190)	Loss 2.7682 (3.0175)	Prec@1 31.641 (30.025)	Prec@5 62.500 (59.048)
Epoch: [52][1470/7045]	Time 0.140 (0.252)	Data 0.088 (0.189)	Loss 3.0069 (3.0175)	Prec@1 29.688 (30.024)	Prec@5 61.328 (59.055)
Epoch: [52][1480/7045]	Time 0.298 (0.252)	Data 0.247 (0.190)	Loss 3.1312 (3.0178)	Prec@1 25.391 (30.018)	Prec@5 58.984 (59.043)
Epoch: [52][1490/7045]	Time 0.104 (0.252)	Data 0.052 (0.190)	Loss 3.1278 (3.0177)	Prec@1 23.828 (30.014)	Prec@5 53.906 (59.048)
Epoch: [52][1500/7045]	Time 0.533 (0.252)	Data 0.481 (0.190)	Loss 2.9898 (3.0175)	Prec@1 31.250 (30.019)	Prec@5 57.031 (59.054)
Epoch: [52][1510/7045]	Time 0.109 (0.252)	Data 0.007 (0.190)	Loss 3.1730 (3.0172)	Prec@1 25.000 (30.025)	Prec@5 55.469 (59.063)
Epoch: [52][1520/7045]	Time 0.801 (0.253)	Data 0.739 (0.190)	Loss 2.8410 (3.0174)	Prec@1 32.812 (30.017)	Prec@5 59.766 (59.059)
Epoch: [52][1530/7045]	Time 0.110 (0.252)	Data 0.005 (0.189)	Loss 3.1117 (3.0175)	Prec@1 26.953 (30.017)	Prec@5 59.375 (59.056)
Epoch: [52][1540/7045]	Time 0.659 (0.252)	Data 0.601 (0.189)	Loss 3.0347 (3.0175)	Prec@1 29.297 (30.020)	Prec@5 57.812 (59.059)
Epoch: [52][1550/7045]	Time 0.109 (0.252)	Data 0.001 (0.189)	Loss 3.1401 (3.0180)	Prec@1 27.734 (30.015)	Prec@5 58.594 (59.046)
Epoch: [52][1560/7045]	Time 0.512 (0.252)	Data 0.462 (0.189)	Loss 3.1218 (3.0182)	Prec@1 24.609 (30.016)	Prec@5 55.469 (59.043)
Epoch: [52][1570/7045]	Time 0.102 (0.252)	Data 0.023 (0.189)	Loss 3.1331 (3.0186)	Prec@1 32.812 (30.016)	Prec@5 60.938 (59.034)
Epoch: [52][1580/7045]	Time 0.371 (0.252)	Data 0.314 (0.189)	Loss 3.1078 (3.0185)	Prec@1 26.562 (30.017)	Prec@5 57.812 (59.037)
Epoch: [52][1590/7045]	Time 0.177 (0.252)	Data 0.126 (0.189)	Loss 3.0907 (3.0185)	Prec@1 31.641 (30.015)	Prec@5 55.078 (59.033)
Epoch: [52][1600/7045]	Time 0.302 (0.252)	Data 0.245 (0.189)	Loss 2.8205 (3.0180)	Prec@1 34.375 (30.014)	Prec@5 62.500 (59.045)
Epoch: [52][1610/7045]	Time 0.302 (0.252)	Data 0.251 (0.189)	Loss 3.1271 (3.0178)	Prec@1 26.562 (30.012)	Prec@5 56.250 (59.050)
Epoch: [52][1620/7045]	Time 0.206 (0.252)	Data 0.154 (0.190)	Loss 2.9422 (3.0175)	Prec@1 25.781 (30.013)	Prec@5 58.203 (59.051)
Epoch: [52][1630/7045]	Time 0.747 (0.253)	Data 0.685 (0.190)	Loss 2.9972 (3.0174)	Prec@1 26.953 (30.015)	Prec@5 56.641 (59.047)
Epoch: [52][1640/7045]	Time 0.097 (0.252)	Data 0.001 (0.189)	Loss 2.9155 (3.0171)	Prec@1 31.250 (30.020)	Prec@5 60.547 (59.056)
Epoch: [52][1650/7045]	Time 0.476 (0.252)	Data 0.425 (0.189)	Loss 3.2405 (3.0177)	Prec@1 24.219 (30.013)	Prec@5 57.812 (59.045)
Epoch: [52][1660/7045]	Time 0.277 (0.252)	Data 0.227 (0.189)	Loss 2.9612 (3.0175)	Prec@1 32.422 (30.016)	Prec@5 60.938 (59.049)
Epoch: [52][1670/7045]	Time 0.252 (0.252)	Data 0.201 (0.189)	Loss 2.9936 (3.0177)	Prec@1 28.516 (30.020)	Prec@5 60.938 (59.047)
Epoch: [52][1680/7045]	Time 0.623 (0.253)	Data 0.565 (0.190)	Loss 3.0106 (3.0178)	Prec@1 32.031 (30.021)	Prec@5 62.500 (59.045)
Epoch: [52][1690/7045]	Time 0.108 (0.252)	Data 0.001 (0.189)	Loss 3.1608 (3.0182)	Prec@1 29.688 (30.018)	Prec@5 52.734 (59.037)
Epoch: [52][1700/7045]	Time 0.576 (0.252)	Data 0.524 (0.190)	Loss 2.9992 (3.0181)	Prec@1 29.688 (30.020)	Prec@5 60.547 (59.038)
Epoch: [52][1710/7045]	Time 0.102 (0.252)	Data 0.001 (0.189)	Loss 3.0253 (3.0182)	Prec@1 32.812 (30.019)	Prec@5 61.328 (59.036)
Epoch: [52][1720/7045]	Time 0.426 (0.252)	Data 0.374 (0.189)	Loss 2.9837 (3.0179)	Prec@1 27.734 (30.018)	Prec@5 56.250 (59.040)
Epoch: [52][1730/7045]	Time 0.168 (0.252)	Data 0.116 (0.189)	Loss 3.3399 (3.0181)	Prec@1 25.391 (30.013)	Prec@5 54.688 (59.041)
Epoch: [52][1740/7045]	Time 0.260 (0.252)	Data 0.209 (0.189)	Loss 3.1506 (3.0189)	Prec@1 29.297 (29.998)	Prec@5 55.859 (59.025)
Epoch: [52][1750/7045]	Time 0.353 (0.252)	Data 0.300 (0.189)	Loss 2.8621 (3.0190)	Prec@1 32.422 (29.997)	Prec@5 61.719 (59.028)
Epoch: [52][1760/7045]	Time 0.101 (0.252)	Data 0.001 (0.189)	Loss 3.0914 (3.0192)	Prec@1 31.641 (29.996)	Prec@5 58.203 (59.025)
Epoch: [52][1770/7045]	Time 0.487 (0.252)	Data 0.435 (0.189)	Loss 3.0267 (3.0193)	Prec@1 31.641 (29.995)	Prec@5 58.203 (59.021)
Epoch: [52][1780/7045]	Time 0.142 (0.252)	Data 0.090 (0.189)	Loss 2.8796 (3.0192)	Prec@1 34.375 (29.991)	Prec@5 64.062 (59.022)
Epoch: [52][1790/7045]	Time 0.432 (0.252)	Data 0.381 (0.189)	Loss 2.8762 (3.0191)	Prec@1 30.469 (29.997)	Prec@5 64.062 (59.028)
Epoch: [52][1800/7045]	Time 0.380 (0.252)	Data 0.328 (0.189)	Loss 3.1415 (3.0190)	Prec@1 30.469 (30.004)	Prec@5 57.422 (59.033)
Epoch: [52][1810/7045]	Time 0.139 (0.252)	Data 0.087 (0.189)	Loss 3.0059 (3.0189)	Prec@1 30.078 (30.005)	Prec@5 56.641 (59.032)
Epoch: [52][1820/7045]	Time 0.379 (0.252)	Data 0.328 (0.189)	Loss 2.7668 (3.0186)	Prec@1 29.688 (30.013)	Prec@5 61.328 (59.034)
Epoch: [52][1830/7045]	Time 0.102 (0.252)	Data 0.015 (0.189)	Loss 3.0629 (3.0183)	Prec@1 32.422 (30.018)	Prec@5 59.766 (59.044)
Epoch: [52][1840/7045]	Time 0.329 (0.252)	Data 0.278 (0.189)	Loss 2.9948 (3.0179)	Prec@1 28.516 (30.022)	Prec@5 55.469 (59.045)
Epoch: [52][1850/7045]	Time 0.229 (0.252)	Data 0.176 (0.189)	Loss 2.9767 (3.0181)	Prec@1 30.859 (30.022)	Prec@5 60.547 (59.041)
Epoch: [52][1860/7045]	Time 0.346 (0.252)	Data 0.293 (0.190)	Loss 2.9162 (3.0183)	Prec@1 32.422 (30.012)	Prec@5 58.984 (59.037)
Epoch: [52][1870/7045]	Time 0.192 (0.252)	Data 0.140 (0.190)	Loss 3.1004 (3.0184)	Prec@1 28.516 (30.013)	Prec@5 53.125 (59.039)
Epoch: [52][1880/7045]	Time 0.331 (0.252)	Data 0.277 (0.190)	Loss 2.8944 (3.0184)	Prec@1 33.984 (30.015)	Prec@5 64.062 (59.038)
Epoch: [52][1890/7045]	Time 0.111 (0.252)	Data 0.060 (0.190)	Loss 2.9568 (3.0185)	Prec@1 32.812 (30.022)	Prec@5 58.203 (59.032)
Epoch: [52][1900/7045]	Time 0.351 (0.252)	Data 0.299 (0.190)	Loss 3.0435 (3.0184)	Prec@1 27.344 (30.024)	Prec@5 60.156 (59.037)
Epoch: [52][1910/7045]	Time 0.140 (0.252)	Data 0.090 (0.190)	Loss 3.2217 (3.0184)	Prec@1 26.953 (30.019)	Prec@5 53.516 (59.036)
Epoch: [52][1920/7045]	Time 0.319 (0.252)	Data 0.267 (0.190)	Loss 2.9643 (3.0184)	Prec@1 27.344 (30.022)	Prec@5 60.156 (59.038)
Epoch: [52][1930/7045]	Time 0.102 (0.252)	Data 0.046 (0.190)	Loss 3.1165 (3.0185)	Prec@1 30.078 (30.023)	Prec@5 57.422 (59.035)
Epoch: [52][1940/7045]	Time 0.103 (0.252)	Data 0.001 (0.190)	Loss 3.1069 (3.0189)	Prec@1 26.562 (30.018)	Prec@5 55.469 (59.027)
Epoch: [52][1950/7045]	Time 0.116 (0.252)	Data 0.065 (0.189)	Loss 2.9740 (3.0188)	Prec@1 29.688 (30.022)	Prec@5 61.328 (59.026)
Epoch: [52][1960/7045]	Time 0.101 (0.252)	Data 0.001 (0.190)	Loss 2.9311 (3.0188)	Prec@1 26.172 (30.020)	Prec@5 61.719 (59.028)
Epoch: [52][1970/7045]	Time 0.102 (0.252)	Data 0.001 (0.189)	Loss 2.7401 (3.0189)	Prec@1 35.547 (30.019)	Prec@5 65.234 (59.026)
Epoch: [52][1980/7045]	Time 0.105 (0.252)	Data 0.054 (0.189)	Loss 3.1466 (3.0187)	Prec@1 27.734 (30.023)	Prec@5 52.344 (59.032)
Epoch: [52][1990/7045]	Time 0.103 (0.252)	Data 0.001 (0.189)	Loss 3.1950 (3.0189)	Prec@1 28.906 (30.022)	Prec@5 58.203 (59.028)
Epoch: [52][2000/7045]	Time 0.170 (0.252)	Data 0.117 (0.189)	Loss 2.8745 (3.0188)	Prec@1 31.641 (30.025)	Prec@5 62.500 (59.030)
Epoch: [52][2010/7045]	Time 0.204 (0.252)	Data 0.153 (0.189)	Loss 3.0200 (3.0187)	Prec@1 28.906 (30.027)	Prec@5 59.766 (59.026)
Epoch: [52][2020/7045]	Time 0.143 (0.252)	Data 0.091 (0.189)	Loss 2.9660 (3.0188)	Prec@1 27.344 (30.019)	Prec@5 59.766 (59.020)
Epoch: [52][2030/7045]	Time 0.177 (0.252)	Data 0.126 (0.189)	Loss 3.1136 (3.0188)	Prec@1 33.203 (30.019)	Prec@5 58.594 (59.021)
Epoch: [52][2040/7045]	Time 0.100 (0.252)	Data 0.049 (0.189)	Loss 3.0901 (3.0186)	Prec@1 30.859 (30.023)	Prec@5 58.594 (59.020)
Epoch: [52][2050/7045]	Time 0.507 (0.252)	Data 0.455 (0.189)	Loss 3.0085 (3.0187)	Prec@1 30.469 (30.022)	Prec@5 58.984 (59.016)
Epoch: [52][2060/7045]	Time 0.102 (0.252)	Data 0.001 (0.189)	Loss 3.1577 (3.0189)	Prec@1 27.344 (30.019)	Prec@5 58.203 (59.010)
Epoch: [52][2070/7045]	Time 0.466 (0.252)	Data 0.415 (0.189)	Loss 3.1533 (3.0192)	Prec@1 26.953 (30.005)	Prec@5 59.375 (59.005)
Epoch: [52][2080/7045]	Time 0.102 (0.252)	Data 0.001 (0.189)	Loss 3.0648 (3.0190)	Prec@1 25.781 (30.009)	Prec@5 56.641 (59.011)
Epoch: [52][2090/7045]	Time 0.593 (0.252)	Data 0.542 (0.189)	Loss 3.1824 (3.0191)	Prec@1 25.391 (30.007)	Prec@5 56.250 (59.006)
Epoch: [52][2100/7045]	Time 0.229 (0.252)	Data 0.178 (0.189)	Loss 3.1841 (3.0195)	Prec@1 25.781 (29.997)	Prec@5 55.469 (58.995)
Epoch: [52][2110/7045]	Time 0.417 (0.252)	Data 0.365 (0.189)	Loss 2.9317 (3.0194)	Prec@1 29.688 (29.999)	Prec@5 59.375 (58.996)
Epoch: [52][2120/7045]	Time 0.352 (0.252)	Data 0.300 (0.189)	Loss 2.9007 (3.0193)	Prec@1 33.594 (30.003)	Prec@5 60.547 (58.994)
Epoch: [52][2130/7045]	Time 0.241 (0.252)	Data 0.189 (0.189)	Loss 2.9777 (3.0191)	Prec@1 30.859 (30.003)	Prec@5 58.203 (58.992)
Epoch: [52][2140/7045]	Time 0.576 (0.252)	Data 0.524 (0.189)	Loss 3.1512 (3.0192)	Prec@1 25.781 (30.004)	Prec@5 56.641 (58.992)
Epoch: [52][2150/7045]	Time 0.103 (0.252)	Data 0.048 (0.189)	Loss 3.1107 (3.0193)	Prec@1 28.906 (30.009)	Prec@5 58.594 (58.992)
Epoch: [52][2160/7045]	Time 0.329 (0.252)	Data 0.278 (0.189)	Loss 2.9367 (3.0190)	Prec@1 31.250 (30.010)	Prec@5 61.719 (58.999)
Epoch: [52][2170/7045]	Time 0.101 (0.252)	Data 0.010 (0.189)	Loss 3.1532 (3.0193)	Prec@1 30.469 (30.004)	Prec@5 56.250 (58.992)
Epoch: [52][2180/7045]	Time 0.172 (0.252)	Data 0.120 (0.189)	Loss 3.2078 (3.0196)	Prec@1 28.906 (30.001)	Prec@5 54.688 (58.985)
Epoch: [52][2190/7045]	Time 0.100 (0.252)	Data 0.010 (0.189)	Loss 3.0026 (3.0194)	Prec@1 28.906 (30.000)	Prec@5 62.500 (58.993)
Epoch: [52][2200/7045]	Time 0.357 (0.252)	Data 0.306 (0.189)	Loss 2.8896 (3.0196)	Prec@1 32.812 (29.995)	Prec@5 58.984 (58.987)
Epoch: [52][2210/7045]	Time 0.216 (0.252)	Data 0.163 (0.189)	Loss 2.8830 (3.0197)	Prec@1 35.938 (29.992)	Prec@5 59.375 (58.979)
Epoch: [52][2220/7045]	Time 0.102 (0.252)	Data 0.049 (0.189)	Loss 2.9795 (3.0198)	Prec@1 30.469 (29.990)	Prec@5 57.812 (58.979)
Epoch: [52][2230/7045]	Time 0.336 (0.252)	Data 0.284 (0.189)	Loss 3.2232 (3.0197)	Prec@1 28.125 (29.998)	Prec@5 55.859 (58.984)
Epoch: [52][2240/7045]	Time 0.266 (0.252)	Data 0.213 (0.189)	Loss 3.0593 (3.0199)	Prec@1 31.641 (29.996)	Prec@5 56.250 (58.975)
Epoch: [52][2250/7045]	Time 0.155 (0.252)	Data 0.098 (0.189)	Loss 2.9379 (3.0197)	Prec@1 31.641 (30.000)	Prec@5 58.203 (58.973)
Epoch: [52][2260/7045]	Time 0.567 (0.252)	Data 0.515 (0.189)	Loss 3.0679 (3.0197)	Prec@1 28.516 (30.001)	Prec@5 59.375 (58.976)
Epoch: [52][2270/7045]	Time 0.139 (0.252)	Data 0.080 (0.189)	Loss 2.9243 (3.0198)	Prec@1 34.375 (29.998)	Prec@5 64.062 (58.979)
Epoch: [52][2280/7045]	Time 0.257 (0.252)	Data 0.205 (0.189)	Loss 3.2504 (3.0199)	Prec@1 27.734 (29.995)	Prec@5 58.594 (58.976)
Epoch: [52][2290/7045]	Time 0.388 (0.252)	Data 0.337 (0.189)	Loss 3.0122 (3.0198)	Prec@1 29.688 (29.993)	Prec@5 62.109 (58.980)
Epoch: [52][2300/7045]	Time 0.101 (0.252)	Data 0.001 (0.189)	Loss 3.0685 (3.0197)	Prec@1 24.609 (29.994)	Prec@5 56.250 (58.975)
Epoch: [52][2310/7045]	Time 0.721 (0.252)	Data 0.669 (0.189)	Loss 3.0257 (3.0195)	Prec@1 30.469 (30.000)	Prec@5 58.984 (58.977)
Epoch: [52][2320/7045]	Time 0.102 (0.252)	Data 0.001 (0.189)	Loss 3.1103 (3.0196)	Prec@1 28.125 (30.001)	Prec@5 57.812 (58.975)
Epoch: [52][2330/7045]	Time 0.472 (0.252)	Data 0.421 (0.189)	Loss 3.2207 (3.0195)	Prec@1 30.859 (30.003)	Prec@5 55.469 (58.975)
Epoch: [52][2340/7045]	Time 0.112 (0.252)	Data 0.001 (0.188)	Loss 2.8113 (3.0196)	Prec@1 31.641 (30.009)	Prec@5 65.625 (58.971)
Epoch: [52][2350/7045]	Time 0.656 (0.252)	Data 0.605 (0.189)	Loss 2.8388 (3.0194)	Prec@1 30.078 (30.011)	Prec@5 60.547 (58.975)
Epoch: [52][2360/7045]	Time 0.101 (0.252)	Data 0.001 (0.188)	Loss 2.9194 (3.0192)	Prec@1 32.812 (30.014)	Prec@5 62.109 (58.982)
Epoch: [52][2370/7045]	Time 0.454 (0.252)	Data 0.402 (0.188)	Loss 3.2258 (3.0191)	Prec@1 24.609 (30.019)	Prec@5 53.906 (58.983)
Epoch: [52][2380/7045]	Time 0.146 (0.252)	Data 0.086 (0.188)	Loss 3.0616 (3.0193)	Prec@1 26.953 (30.015)	Prec@5 58.594 (58.975)
Epoch: [52][2390/7045]	Time 0.676 (0.252)	Data 0.624 (0.189)	Loss 2.9766 (3.0197)	Prec@1 29.688 (30.006)	Prec@5 58.594 (58.976)
Epoch: [52][2400/7045]	Time 0.218 (0.252)	Data 0.167 (0.188)	Loss 3.1230 (3.0197)	Prec@1 26.953 (30.009)	Prec@5 59.375 (58.977)
Epoch: [52][2410/7045]	Time 0.396 (0.252)	Data 0.345 (0.188)	Loss 3.2501 (3.0199)	Prec@1 24.609 (30.006)	Prec@5 57.422 (58.977)
Epoch: [52][2420/7045]	Time 0.292 (0.252)	Data 0.242 (0.188)	Loss 3.0170 (3.0196)	Prec@1 32.422 (30.013)	Prec@5 59.375 (58.980)
Epoch: [52][2430/7045]	Time 0.195 (0.252)	Data 0.143 (0.188)	Loss 2.9842 (3.0193)	Prec@1 34.375 (30.019)	Prec@5 59.766 (58.988)
Epoch: [52][2440/7045]	Time 0.368 (0.252)	Data 0.315 (0.189)	Loss 3.0562 (3.0195)	Prec@1 28.516 (30.015)	Prec@5 60.547 (58.989)
Epoch: [52][2450/7045]	Time 0.107 (0.252)	Data 0.056 (0.188)	Loss 3.1054 (3.0195)	Prec@1 25.781 (30.013)	Prec@5 55.859 (58.988)
Epoch: [52][2460/7045]	Time 0.378 (0.252)	Data 0.327 (0.188)	Loss 3.0253 (3.0192)	Prec@1 28.906 (30.018)	Prec@5 57.812 (58.992)
Epoch: [52][2470/7045]	Time 0.103 (0.252)	Data 0.022 (0.188)	Loss 2.8859 (3.0192)	Prec@1 35.156 (30.019)	Prec@5 64.062 (58.996)
Epoch: [52][2480/7045]	Time 0.110 (0.252)	Data 0.058 (0.188)	Loss 2.9133 (3.0193)	Prec@1 30.078 (30.014)	Prec@5 59.766 (58.994)
Epoch: [52][2490/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 3.0471 (3.0193)	Prec@1 28.516 (30.012)	Prec@5 62.500 (58.999)
Epoch: [52][2500/7045]	Time 0.106 (0.252)	Data 0.055 (0.188)	Loss 3.0203 (3.0194)	Prec@1 31.641 (30.010)	Prec@5 57.031 (58.999)
Epoch: [52][2510/7045]	Time 0.643 (0.252)	Data 0.592 (0.189)	Loss 2.8845 (3.0192)	Prec@1 34.375 (30.012)	Prec@5 62.109 (59.001)
Epoch: [52][2520/7045]	Time 0.109 (0.252)	Data 0.051 (0.188)	Loss 3.2170 (3.0193)	Prec@1 26.953 (30.011)	Prec@5 55.078 (58.999)
Epoch: [52][2530/7045]	Time 0.628 (0.252)	Data 0.568 (0.189)	Loss 3.1035 (3.0191)	Prec@1 29.297 (30.015)	Prec@5 53.516 (59.004)
Epoch: [52][2540/7045]	Time 0.102 (0.252)	Data 0.006 (0.188)	Loss 3.0334 (3.0194)	Prec@1 33.984 (30.008)	Prec@5 58.984 (58.998)
Epoch: [52][2550/7045]	Time 0.638 (0.252)	Data 0.586 (0.188)	Loss 3.1063 (3.0196)	Prec@1 28.125 (30.000)	Prec@5 54.688 (58.996)
Epoch: [52][2560/7045]	Time 0.099 (0.252)	Data 0.001 (0.188)	Loss 3.0372 (3.0196)	Prec@1 30.469 (29.997)	Prec@5 60.938 (58.997)
Epoch: [52][2570/7045]	Time 0.749 (0.252)	Data 0.697 (0.188)	Loss 3.0281 (3.0198)	Prec@1 32.031 (29.994)	Prec@5 57.422 (58.995)
Epoch: [52][2580/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 3.0685 (3.0198)	Prec@1 27.734 (29.989)	Prec@5 57.031 (58.994)
Epoch: [52][2590/7045]	Time 0.383 (0.252)	Data 0.331 (0.188)	Loss 3.1534 (3.0197)	Prec@1 27.344 (29.994)	Prec@5 57.031 (58.999)
Epoch: [52][2600/7045]	Time 0.278 (0.252)	Data 0.226 (0.188)	Loss 3.0502 (3.0199)	Prec@1 26.562 (29.990)	Prec@5 58.203 (58.994)
Epoch: [52][2610/7045]	Time 0.107 (0.252)	Data 0.005 (0.188)	Loss 3.1008 (3.0198)	Prec@1 28.906 (29.991)	Prec@5 53.516 (58.996)
Epoch: [52][2620/7045]	Time 0.269 (0.252)	Data 0.218 (0.188)	Loss 2.8780 (3.0197)	Prec@1 30.469 (29.989)	Prec@5 61.719 (59.001)
Epoch: [52][2630/7045]	Time 0.115 (0.252)	Data 0.065 (0.188)	Loss 3.0478 (3.0199)	Prec@1 28.125 (29.989)	Prec@5 57.422 (59.000)
Epoch: [52][2640/7045]	Time 0.424 (0.252)	Data 0.373 (0.188)	Loss 2.8247 (3.0199)	Prec@1 33.984 (29.994)	Prec@5 64.062 (59.001)
Epoch: [52][2650/7045]	Time 0.101 (0.252)	Data 0.001 (0.188)	Loss 3.1333 (3.0197)	Prec@1 25.000 (29.993)	Prec@5 54.688 (59.006)
Epoch: [52][2660/7045]	Time 0.201 (0.252)	Data 0.150 (0.188)	Loss 3.0775 (3.0196)	Prec@1 26.953 (29.993)	Prec@5 59.375 (59.010)
Epoch: [52][2670/7045]	Time 0.101 (0.252)	Data 0.045 (0.188)	Loss 3.0272 (3.0196)	Prec@1 26.953 (29.990)	Prec@5 60.156 (59.013)
Epoch: [52][2680/7045]	Time 0.102 (0.252)	Data 0.008 (0.188)	Loss 3.0627 (3.0194)	Prec@1 28.906 (29.990)	Prec@5 56.250 (59.013)
Epoch: [52][2690/7045]	Time 0.113 (0.252)	Data 0.062 (0.188)	Loss 3.0760 (3.0193)	Prec@1 28.516 (29.995)	Prec@5 60.938 (59.014)
Epoch: [52][2700/7045]	Time 0.205 (0.252)	Data 0.154 (0.188)	Loss 2.9531 (3.0192)	Prec@1 31.641 (29.997)	Prec@5 60.547 (59.016)
Epoch: [52][2710/7045]	Time 0.160 (0.252)	Data 0.109 (0.188)	Loss 3.0732 (3.0192)	Prec@1 30.859 (29.997)	Prec@5 56.641 (59.018)
Epoch: [52][2720/7045]	Time 0.464 (0.252)	Data 0.412 (0.188)	Loss 2.9138 (3.0193)	Prec@1 32.812 (29.993)	Prec@5 61.719 (59.015)
Epoch: [52][2730/7045]	Time 0.101 (0.252)	Data 0.007 (0.188)	Loss 3.1435 (3.0196)	Prec@1 27.734 (29.985)	Prec@5 55.078 (59.006)
Epoch: [52][2740/7045]	Time 0.542 (0.252)	Data 0.490 (0.188)	Loss 3.4135 (3.0196)	Prec@1 20.703 (29.986)	Prec@5 52.734 (59.004)
Epoch: [52][2750/7045]	Time 0.207 (0.251)	Data 0.156 (0.188)	Loss 3.2758 (3.0197)	Prec@1 25.391 (29.983)	Prec@5 55.469 (59.001)
Epoch: [52][2760/7045]	Time 0.188 (0.252)	Data 0.137 (0.188)	Loss 3.0791 (3.0198)	Prec@1 24.219 (29.981)	Prec@5 59.375 (59.003)
Epoch: [52][2770/7045]	Time 0.325 (0.251)	Data 0.274 (0.188)	Loss 2.8109 (3.0198)	Prec@1 35.547 (29.984)	Prec@5 66.016 (59.006)
Epoch: [52][2780/7045]	Time 0.133 (0.252)	Data 0.083 (0.188)	Loss 3.0154 (3.0200)	Prec@1 33.594 (29.983)	Prec@5 57.812 (59.006)
Epoch: [52][2790/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 3.0964 (3.0200)	Prec@1 24.609 (29.985)	Prec@5 58.984 (59.008)
Epoch: [52][2800/7045]	Time 0.175 (0.252)	Data 0.124 (0.188)	Loss 3.0434 (3.0203)	Prec@1 29.688 (29.986)	Prec@5 58.203 (59.003)
Epoch: [52][2810/7045]	Time 0.304 (0.251)	Data 0.252 (0.188)	Loss 3.1999 (3.0205)	Prec@1 26.172 (29.979)	Prec@5 54.688 (59.000)
Epoch: [52][2820/7045]	Time 0.146 (0.251)	Data 0.095 (0.188)	Loss 2.9258 (3.0206)	Prec@1 28.516 (29.980)	Prec@5 61.719 (59.000)
Epoch: [52][2830/7045]	Time 0.602 (0.252)	Data 0.552 (0.188)	Loss 3.0859 (3.0206)	Prec@1 29.297 (29.980)	Prec@5 57.031 (59.002)
Epoch: [52][2840/7045]	Time 0.100 (0.251)	Data 0.001 (0.188)	Loss 2.9990 (3.0207)	Prec@1 29.688 (29.977)	Prec@5 57.812 (58.995)
Epoch: [52][2850/7045]	Time 0.642 (0.251)	Data 0.588 (0.188)	Loss 2.8501 (3.0206)	Prec@1 36.328 (29.979)	Prec@5 58.984 (58.996)
Epoch: [52][2860/7045]	Time 0.102 (0.251)	Data 0.017 (0.188)	Loss 2.9796 (3.0206)	Prec@1 32.812 (29.981)	Prec@5 60.938 (58.995)
Epoch: [52][2870/7045]	Time 0.479 (0.251)	Data 0.428 (0.188)	Loss 3.0000 (3.0205)	Prec@1 32.031 (29.982)	Prec@5 56.641 (58.994)
Epoch: [52][2880/7045]	Time 0.101 (0.251)	Data 0.011 (0.188)	Loss 3.2045 (3.0205)	Prec@1 25.391 (29.984)	Prec@5 55.469 (58.994)
Epoch: [52][2890/7045]	Time 0.365 (0.251)	Data 0.308 (0.188)	Loss 3.3954 (3.0207)	Prec@1 22.266 (29.980)	Prec@5 53.906 (58.986)
Epoch: [52][2900/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 2.8491 (3.0203)	Prec@1 30.469 (29.985)	Prec@5 60.547 (58.992)
Epoch: [52][2910/7045]	Time 0.128 (0.251)	Data 0.071 (0.188)	Loss 3.0574 (3.0205)	Prec@1 26.953 (29.982)	Prec@5 59.375 (58.988)
Epoch: [52][2920/7045]	Time 0.194 (0.251)	Data 0.143 (0.188)	Loss 3.0513 (3.0205)	Prec@1 30.859 (29.982)	Prec@5 57.031 (58.991)
Epoch: [52][2930/7045]	Time 0.133 (0.251)	Data 0.082 (0.188)	Loss 3.0503 (3.0205)	Prec@1 27.734 (29.981)	Prec@5 55.859 (58.991)
Epoch: [52][2940/7045]	Time 0.271 (0.251)	Data 0.220 (0.188)	Loss 3.1816 (3.0207)	Prec@1 30.859 (29.981)	Prec@5 55.469 (58.987)
Epoch: [52][2950/7045]	Time 0.227 (0.251)	Data 0.168 (0.188)	Loss 3.1947 (3.0207)	Prec@1 28.516 (29.979)	Prec@5 55.469 (58.987)
Epoch: [52][2960/7045]	Time 0.347 (0.251)	Data 0.297 (0.188)	Loss 3.0788 (3.0206)	Prec@1 29.297 (29.981)	Prec@5 55.859 (58.988)
Epoch: [52][2970/7045]	Time 0.105 (0.251)	Data 0.054 (0.188)	Loss 3.0452 (3.0206)	Prec@1 31.250 (29.983)	Prec@5 55.859 (58.987)
Epoch: [52][2980/7045]	Time 0.381 (0.251)	Data 0.329 (0.188)	Loss 2.8617 (3.0206)	Prec@1 33.594 (29.984)	Prec@5 64.844 (58.991)
Epoch: [52][2990/7045]	Time 0.130 (0.251)	Data 0.078 (0.188)	Loss 2.9160 (3.0207)	Prec@1 30.859 (29.977)	Prec@5 64.062 (58.990)
Epoch: [52][3000/7045]	Time 0.102 (0.251)	Data 0.012 (0.188)	Loss 2.8292 (3.0204)	Prec@1 31.641 (29.979)	Prec@5 62.109 (58.999)
Epoch: [52][3010/7045]	Time 0.188 (0.251)	Data 0.137 (0.188)	Loss 3.0850 (3.0206)	Prec@1 29.297 (29.974)	Prec@5 59.375 (58.993)
Epoch: [52][3020/7045]	Time 0.352 (0.251)	Data 0.301 (0.188)	Loss 2.8723 (3.0204)	Prec@1 33.203 (29.975)	Prec@5 62.891 (58.993)
Epoch: [52][3030/7045]	Time 0.101 (0.251)	Data 0.001 (0.188)	Loss 3.0651 (3.0204)	Prec@1 26.562 (29.974)	Prec@5 54.688 (58.991)
Epoch: [52][3040/7045]	Time 0.449 (0.251)	Data 0.398 (0.188)	Loss 3.1959 (3.0207)	Prec@1 26.953 (29.973)	Prec@5 54.297 (58.988)
Epoch: [52][3050/7045]	Time 0.103 (0.251)	Data 0.006 (0.188)	Loss 3.2885 (3.0207)	Prec@1 24.609 (29.973)	Prec@5 52.734 (58.987)
Epoch: [52][3060/7045]	Time 0.459 (0.251)	Data 0.407 (0.188)	Loss 3.3489 (3.0210)	Prec@1 21.094 (29.965)	Prec@5 50.391 (58.976)
Epoch: [52][3070/7045]	Time 0.101 (0.251)	Data 0.006 (0.188)	Loss 3.1972 (3.0212)	Prec@1 26.953 (29.961)	Prec@5 53.516 (58.966)
Epoch: [52][3080/7045]	Time 0.425 (0.251)	Data 0.373 (0.188)	Loss 2.8764 (3.0213)	Prec@1 32.422 (29.961)	Prec@5 62.891 (58.966)
Epoch: [52][3090/7045]	Time 0.394 (0.251)	Data 0.343 (0.188)	Loss 3.1169 (3.0214)	Prec@1 27.344 (29.958)	Prec@5 58.203 (58.966)
Epoch: [52][3100/7045]	Time 0.207 (0.251)	Data 0.149 (0.188)	Loss 3.0761 (3.0212)	Prec@1 31.641 (29.961)	Prec@5 59.766 (58.971)
Epoch: [52][3110/7045]	Time 0.103 (0.251)	Data 0.001 (0.188)	Loss 2.8420 (3.0212)	Prec@1 34.766 (29.965)	Prec@5 67.188 (58.976)
Epoch: [52][3120/7045]	Time 0.101 (0.251)	Data 0.009 (0.188)	Loss 2.8620 (3.0211)	Prec@1 29.688 (29.966)	Prec@5 61.328 (58.972)
Epoch: [52][3130/7045]	Time 0.268 (0.251)	Data 0.216 (0.188)	Loss 3.1388 (3.0211)	Prec@1 26.953 (29.967)	Prec@5 56.250 (58.975)
Epoch: [52][3140/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 3.1611 (3.0215)	Prec@1 28.906 (29.959)	Prec@5 58.594 (58.970)
Epoch: [52][3150/7045]	Time 0.373 (0.251)	Data 0.321 (0.188)	Loss 3.0011 (3.0215)	Prec@1 33.594 (29.957)	Prec@5 60.938 (58.971)
Epoch: [52][3160/7045]	Time 0.492 (0.251)	Data 0.440 (0.188)	Loss 2.8720 (3.0215)	Prec@1 31.641 (29.957)	Prec@5 60.938 (58.974)
Epoch: [52][3170/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 3.0382 (3.0215)	Prec@1 31.250 (29.957)	Prec@5 55.469 (58.974)
Epoch: [52][3180/7045]	Time 0.515 (0.251)	Data 0.464 (0.188)	Loss 3.2562 (3.0216)	Prec@1 25.781 (29.955)	Prec@5 58.203 (58.971)
Epoch: [52][3190/7045]	Time 0.312 (0.251)	Data 0.262 (0.188)	Loss 3.0897 (3.0217)	Prec@1 32.812 (29.959)	Prec@5 58.984 (58.970)
Epoch: [52][3200/7045]	Time 0.108 (0.251)	Data 0.001 (0.188)	Loss 3.0370 (3.0217)	Prec@1 27.344 (29.958)	Prec@5 58.594 (58.969)
Epoch: [52][3210/7045]	Time 0.174 (0.251)	Data 0.122 (0.188)	Loss 2.9692 (3.0216)	Prec@1 28.125 (29.961)	Prec@5 60.156 (58.971)
Epoch: [52][3220/7045]	Time 0.457 (0.251)	Data 0.404 (0.188)	Loss 2.9967 (3.0218)	Prec@1 26.562 (29.953)	Prec@5 59.375 (58.969)
Epoch: [52][3230/7045]	Time 0.295 (0.251)	Data 0.243 (0.188)	Loss 3.1064 (3.0218)	Prec@1 32.422 (29.951)	Prec@5 60.156 (58.968)
Epoch: [52][3240/7045]	Time 0.498 (0.251)	Data 0.447 (0.188)	Loss 3.0459 (3.0221)	Prec@1 32.422 (29.946)	Prec@5 58.984 (58.962)
Epoch: [52][3250/7045]	Time 0.432 (0.251)	Data 0.379 (0.188)	Loss 2.9881 (3.0221)	Prec@1 31.250 (29.948)	Prec@5 58.984 (58.962)
Epoch: [52][3260/7045]	Time 0.429 (0.251)	Data 0.369 (0.188)	Loss 3.1825 (3.0221)	Prec@1 27.734 (29.952)	Prec@5 56.641 (58.965)
Epoch: [52][3270/7045]	Time 0.274 (0.251)	Data 0.217 (0.188)	Loss 3.1237 (3.0221)	Prec@1 25.391 (29.953)	Prec@5 58.203 (58.964)
Epoch: [52][3280/7045]	Time 0.519 (0.251)	Data 0.468 (0.188)	Loss 3.0110 (3.0224)	Prec@1 30.078 (29.948)	Prec@5 59.766 (58.960)
Epoch: [52][3290/7045]	Time 0.100 (0.251)	Data 0.001 (0.188)	Loss 3.0269 (3.0222)	Prec@1 25.000 (29.951)	Prec@5 57.812 (58.960)
Epoch: [52][3300/7045]	Time 0.373 (0.251)	Data 0.322 (0.188)	Loss 3.1848 (3.0222)	Prec@1 29.688 (29.952)	Prec@5 55.469 (58.960)
Epoch: [52][3310/7045]	Time 0.101 (0.251)	Data 0.001 (0.188)	Loss 2.8111 (3.0222)	Prec@1 32.422 (29.951)	Prec@5 61.328 (58.959)
Epoch: [52][3320/7045]	Time 0.355 (0.251)	Data 0.304 (0.188)	Loss 2.9269 (3.0222)	Prec@1 30.859 (29.952)	Prec@5 57.812 (58.960)
Epoch: [52][3330/7045]	Time 0.175 (0.251)	Data 0.124 (0.188)	Loss 3.3150 (3.0224)	Prec@1 25.391 (29.948)	Prec@5 55.078 (58.956)
Epoch: [52][3340/7045]	Time 0.506 (0.251)	Data 0.454 (0.188)	Loss 3.0670 (3.0224)	Prec@1 27.734 (29.951)	Prec@5 60.156 (58.956)
Epoch: [52][3350/7045]	Time 0.347 (0.251)	Data 0.294 (0.188)	Loss 3.0461 (3.0224)	Prec@1 32.812 (29.950)	Prec@5 58.594 (58.956)
Epoch: [52][3360/7045]	Time 0.402 (0.251)	Data 0.351 (0.188)	Loss 2.9596 (3.0225)	Prec@1 31.641 (29.948)	Prec@5 58.203 (58.953)
Epoch: [52][3370/7045]	Time 0.519 (0.251)	Data 0.468 (0.188)	Loss 3.0581 (3.0226)	Prec@1 32.422 (29.951)	Prec@5 61.328 (58.951)
Epoch: [52][3380/7045]	Time 0.238 (0.251)	Data 0.187 (0.188)	Loss 3.0361 (3.0226)	Prec@1 31.250 (29.952)	Prec@5 57.812 (58.951)
Epoch: [52][3390/7045]	Time 0.493 (0.251)	Data 0.442 (0.188)	Loss 2.9221 (3.0227)	Prec@1 30.859 (29.949)	Prec@5 60.547 (58.951)
Epoch: [52][3400/7045]	Time 0.425 (0.251)	Data 0.374 (0.188)	Loss 2.8814 (3.0225)	Prec@1 32.812 (29.953)	Prec@5 60.547 (58.956)
Epoch: [52][3410/7045]	Time 0.261 (0.251)	Data 0.209 (0.188)	Loss 3.0676 (3.0228)	Prec@1 29.297 (29.949)	Prec@5 58.594 (58.948)
Epoch: [52][3420/7045]	Time 0.506 (0.251)	Data 0.454 (0.188)	Loss 3.0123 (3.0230)	Prec@1 28.125 (29.947)	Prec@5 61.719 (58.944)
Epoch: [52][3430/7045]	Time 0.238 (0.251)	Data 0.188 (0.188)	Loss 2.9362 (3.0229)	Prec@1 32.812 (29.947)	Prec@5 61.719 (58.947)
Epoch: [52][3440/7045]	Time 0.529 (0.251)	Data 0.479 (0.188)	Loss 3.0990 (3.0230)	Prec@1 27.344 (29.946)	Prec@5 59.766 (58.945)
Epoch: [52][3450/7045]	Time 0.232 (0.251)	Data 0.179 (0.188)	Loss 2.9132 (3.0230)	Prec@1 28.125 (29.945)	Prec@5 62.500 (58.950)
Epoch: [52][3460/7045]	Time 0.566 (0.251)	Data 0.515 (0.188)	Loss 3.0870 (3.0230)	Prec@1 32.812 (29.946)	Prec@5 56.250 (58.948)
Epoch: [52][3470/7045]	Time 0.170 (0.251)	Data 0.118 (0.188)	Loss 2.9261 (3.0231)	Prec@1 32.422 (29.943)	Prec@5 59.375 (58.944)
Epoch: [52][3480/7045]	Time 0.531 (0.251)	Data 0.480 (0.188)	Loss 3.0272 (3.0231)	Prec@1 29.688 (29.943)	Prec@5 58.594 (58.947)
Epoch: [52][3490/7045]	Time 0.279 (0.251)	Data 0.228 (0.188)	Loss 2.8475 (3.0229)	Prec@1 33.594 (29.948)	Prec@5 61.719 (58.952)
Epoch: [52][3500/7045]	Time 0.546 (0.251)	Data 0.494 (0.188)	Loss 3.0299 (3.0229)	Prec@1 30.469 (29.950)	Prec@5 58.594 (58.952)
Epoch: [52][3510/7045]	Time 0.305 (0.251)	Data 0.254 (0.188)	Loss 2.9483 (3.0229)	Prec@1 31.250 (29.948)	Prec@5 61.719 (58.950)
Epoch: [52][3520/7045]	Time 0.267 (0.251)	Data 0.217 (0.188)	Loss 2.8890 (3.0231)	Prec@1 32.031 (29.944)	Prec@5 61.328 (58.944)
Epoch: [52][3530/7045]	Time 0.111 (0.251)	Data 0.022 (0.188)	Loss 2.8516 (3.0231)	Prec@1 37.891 (29.947)	Prec@5 64.062 (58.945)
Epoch: [52][3540/7045]	Time 0.117 (0.251)	Data 0.064 (0.188)	Loss 3.2507 (3.0231)	Prec@1 28.906 (29.944)	Prec@5 51.953 (58.945)
Epoch: [52][3550/7045]	Time 0.126 (0.251)	Data 0.075 (0.188)	Loss 3.1050 (3.0231)	Prec@1 27.344 (29.945)	Prec@5 58.594 (58.948)
Epoch: [52][3560/7045]	Time 0.186 (0.251)	Data 0.135 (0.188)	Loss 3.0219 (3.0232)	Prec@1 30.078 (29.942)	Prec@5 60.547 (58.945)
Epoch: [52][3570/7045]	Time 0.229 (0.251)	Data 0.171 (0.188)	Loss 2.8696 (3.0232)	Prec@1 28.125 (29.941)	Prec@5 62.891 (58.945)
Epoch: [52][3580/7045]	Time 0.105 (0.251)	Data 0.053 (0.188)	Loss 3.1618 (3.0232)	Prec@1 26.953 (29.938)	Prec@5 57.422 (58.947)
Epoch: [52][3590/7045]	Time 0.109 (0.251)	Data 0.048 (0.188)	Loss 3.1152 (3.0234)	Prec@1 28.906 (29.937)	Prec@5 57.812 (58.942)
Epoch: [52][3600/7045]	Time 0.108 (0.251)	Data 0.055 (0.188)	Loss 3.0227 (3.0235)	Prec@1 31.250 (29.938)	Prec@5 60.156 (58.940)
Epoch: [52][3610/7045]	Time 0.179 (0.251)	Data 0.128 (0.188)	Loss 2.8030 (3.0235)	Prec@1 36.719 (29.943)	Prec@5 63.281 (58.942)
Epoch: [52][3620/7045]	Time 0.102 (0.251)	Data 0.050 (0.188)	Loss 2.9006 (3.0235)	Prec@1 30.078 (29.942)	Prec@5 60.938 (58.942)
Epoch: [52][3630/7045]	Time 0.207 (0.251)	Data 0.157 (0.188)	Loss 3.1678 (3.0235)	Prec@1 25.391 (29.940)	Prec@5 56.250 (58.942)
Epoch: [52][3640/7045]	Time 0.100 (0.251)	Data 0.046 (0.188)	Loss 3.0205 (3.0237)	Prec@1 30.078 (29.938)	Prec@5 61.328 (58.939)
Epoch: [52][3650/7045]	Time 0.113 (0.251)	Data 0.060 (0.188)	Loss 2.9302 (3.0236)	Prec@1 31.250 (29.937)	Prec@5 62.891 (58.940)
Epoch: [52][3660/7045]	Time 0.103 (0.251)	Data 0.001 (0.188)	Loss 2.9590 (3.0235)	Prec@1 30.078 (29.941)	Prec@5 60.156 (58.944)
Epoch: [52][3670/7045]	Time 0.177 (0.251)	Data 0.124 (0.188)	Loss 2.9757 (3.0233)	Prec@1 31.641 (29.943)	Prec@5 58.203 (58.950)
Epoch: [52][3680/7045]	Time 0.106 (0.251)	Data 0.053 (0.188)	Loss 3.1159 (3.0232)	Prec@1 26.172 (29.944)	Prec@5 59.766 (58.951)
Epoch: [52][3690/7045]	Time 0.135 (0.251)	Data 0.084 (0.188)	Loss 3.0831 (3.0232)	Prec@1 30.469 (29.945)	Prec@5 55.859 (58.952)
Epoch: [52][3700/7045]	Time 0.101 (0.251)	Data 0.001 (0.188)	Loss 3.1767 (3.0231)	Prec@1 27.344 (29.949)	Prec@5 55.078 (58.953)
Epoch: [52][3710/7045]	Time 0.142 (0.251)	Data 0.089 (0.188)	Loss 2.9394 (3.0231)	Prec@1 32.031 (29.951)	Prec@5 58.984 (58.955)
Epoch: [52][3720/7045]	Time 0.102 (0.251)	Data 0.014 (0.188)	Loss 3.0732 (3.0231)	Prec@1 27.344 (29.949)	Prec@5 58.594 (58.955)
Epoch: [52][3730/7045]	Time 0.197 (0.251)	Data 0.145 (0.188)	Loss 3.1238 (3.0232)	Prec@1 26.562 (29.947)	Prec@5 57.031 (58.953)
Epoch: [52][3740/7045]	Time 0.102 (0.251)	Data 0.004 (0.188)	Loss 2.9835 (3.0235)	Prec@1 29.297 (29.942)	Prec@5 60.547 (58.949)
Epoch: [52][3750/7045]	Time 0.393 (0.251)	Data 0.342 (0.188)	Loss 2.8981 (3.0234)	Prec@1 29.688 (29.943)	Prec@5 61.328 (58.951)
Epoch: [52][3760/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 2.6719 (3.0234)	Prec@1 36.328 (29.943)	Prec@5 66.406 (58.950)
Epoch: [52][3770/7045]	Time 0.349 (0.251)	Data 0.296 (0.188)	Loss 3.0145 (3.0234)	Prec@1 31.250 (29.942)	Prec@5 59.766 (58.950)
Epoch: [52][3780/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 3.1206 (3.0234)	Prec@1 28.125 (29.944)	Prec@5 52.344 (58.948)
Epoch: [52][3790/7045]	Time 0.530 (0.251)	Data 0.470 (0.188)	Loss 2.9566 (3.0235)	Prec@1 30.078 (29.942)	Prec@5 59.375 (58.947)
Epoch: [52][3800/7045]	Time 0.101 (0.251)	Data 0.020 (0.188)	Loss 3.1250 (3.0236)	Prec@1 30.078 (29.942)	Prec@5 55.078 (58.942)
Epoch: [52][3810/7045]	Time 0.454 (0.251)	Data 0.403 (0.188)	Loss 3.0235 (3.0237)	Prec@1 32.031 (29.944)	Prec@5 54.688 (58.938)
Epoch: [52][3820/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 2.9596 (3.0238)	Prec@1 31.250 (29.941)	Prec@5 60.938 (58.938)
Epoch: [52][3830/7045]	Time 0.286 (0.251)	Data 0.236 (0.188)	Loss 3.3261 (3.0237)	Prec@1 23.828 (29.942)	Prec@5 51.953 (58.938)
Epoch: [52][3840/7045]	Time 0.136 (0.251)	Data 0.085 (0.188)	Loss 3.0011 (3.0237)	Prec@1 29.688 (29.945)	Prec@5 61.719 (58.941)
Epoch: [52][3850/7045]	Time 0.137 (0.251)	Data 0.086 (0.188)	Loss 3.1276 (3.0240)	Prec@1 30.078 (29.940)	Prec@5 58.203 (58.937)
Epoch: [52][3860/7045]	Time 0.109 (0.251)	Data 0.057 (0.188)	Loss 3.0842 (3.0240)	Prec@1 30.859 (29.940)	Prec@5 58.203 (58.939)
Epoch: [52][3870/7045]	Time 0.207 (0.251)	Data 0.155 (0.188)	Loss 2.6912 (3.0238)	Prec@1 32.812 (29.944)	Prec@5 69.922 (58.945)
Epoch: [52][3880/7045]	Time 0.160 (0.251)	Data 0.107 (0.188)	Loss 3.1490 (3.0240)	Prec@1 28.125 (29.943)	Prec@5 56.250 (58.943)
Epoch: [52][3890/7045]	Time 0.130 (0.251)	Data 0.072 (0.188)	Loss 2.8082 (3.0237)	Prec@1 33.203 (29.946)	Prec@5 62.109 (58.950)
Epoch: [52][3900/7045]	Time 0.137 (0.251)	Data 0.085 (0.188)	Loss 2.9327 (3.0236)	Prec@1 29.688 (29.946)	Prec@5 60.938 (58.951)
Epoch: [52][3910/7045]	Time 0.104 (0.251)	Data 0.009 (0.188)	Loss 3.1561 (3.0235)	Prec@1 31.641 (29.947)	Prec@5 55.859 (58.952)
Epoch: [52][3920/7045]	Time 0.103 (0.251)	Data 0.002 (0.188)	Loss 2.9871 (3.0236)	Prec@1 32.422 (29.945)	Prec@5 59.375 (58.951)
Epoch: [52][3930/7045]	Time 0.102 (0.251)	Data 0.015 (0.188)	Loss 2.7590 (3.0237)	Prec@1 37.891 (29.946)	Prec@5 66.406 (58.952)
Epoch: [52][3940/7045]	Time 0.507 (0.251)	Data 0.455 (0.188)	Loss 3.1057 (3.0237)	Prec@1 29.688 (29.948)	Prec@5 52.344 (58.953)
Epoch: [52][3950/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 2.8092 (3.0237)	Prec@1 35.938 (29.947)	Prec@5 62.109 (58.953)
Epoch: [52][3960/7045]	Time 0.577 (0.251)	Data 0.526 (0.188)	Loss 3.1081 (3.0236)	Prec@1 26.562 (29.948)	Prec@5 55.859 (58.955)
Epoch: [52][3970/7045]	Time 0.296 (0.251)	Data 0.245 (0.188)	Loss 2.8863 (3.0236)	Prec@1 30.469 (29.946)	Prec@5 59.766 (58.952)
Epoch: [52][3980/7045]	Time 0.215 (0.251)	Data 0.163 (0.188)	Loss 3.1883 (3.0236)	Prec@1 32.812 (29.948)	Prec@5 58.203 (58.951)
Epoch: [52][3990/7045]	Time 0.491 (0.251)	Data 0.439 (0.188)	Loss 3.0442 (3.0236)	Prec@1 27.344 (29.950)	Prec@5 59.375 (58.952)
Epoch: [52][4000/7045]	Time 0.116 (0.251)	Data 0.063 (0.188)	Loss 2.9381 (3.0236)	Prec@1 34.766 (29.953)	Prec@5 57.812 (58.950)
Epoch: [52][4010/7045]	Time 0.765 (0.251)	Data 0.713 (0.188)	Loss 2.8325 (3.0234)	Prec@1 36.328 (29.956)	Prec@5 62.109 (58.953)
Epoch: [52][4020/7045]	Time 0.102 (0.251)	Data 0.017 (0.188)	Loss 2.9969 (3.0233)	Prec@1 28.906 (29.954)	Prec@5 60.547 (58.956)
Epoch: [52][4030/7045]	Time 0.654 (0.251)	Data 0.597 (0.188)	Loss 3.1799 (3.0234)	Prec@1 26.172 (29.951)	Prec@5 52.344 (58.954)
Epoch: [52][4040/7045]	Time 0.111 (0.251)	Data 0.001 (0.188)	Loss 2.8185 (3.0234)	Prec@1 32.031 (29.952)	Prec@5 62.109 (58.953)
Epoch: [52][4050/7045]	Time 0.700 (0.251)	Data 0.648 (0.188)	Loss 2.8432 (3.0233)	Prec@1 27.344 (29.953)	Prec@5 64.844 (58.958)
Epoch: [52][4060/7045]	Time 0.108 (0.251)	Data 0.002 (0.187)	Loss 2.9376 (3.0235)	Prec@1 31.641 (29.953)	Prec@5 63.281 (58.957)
Epoch: [52][4070/7045]	Time 0.611 (0.251)	Data 0.560 (0.187)	Loss 3.0093 (3.0234)	Prec@1 26.562 (29.953)	Prec@5 60.156 (58.960)
Epoch: [52][4080/7045]	Time 0.105 (0.251)	Data 0.001 (0.187)	Loss 2.9570 (3.0234)	Prec@1 30.469 (29.956)	Prec@5 61.328 (58.961)
Epoch: [52][4090/7045]	Time 0.355 (0.251)	Data 0.303 (0.187)	Loss 2.9406 (3.0235)	Prec@1 32.422 (29.954)	Prec@5 58.984 (58.958)
Epoch: [52][4100/7045]	Time 0.102 (0.251)	Data 0.018 (0.187)	Loss 2.9786 (3.0235)	Prec@1 30.078 (29.952)	Prec@5 60.547 (58.958)
Epoch: [52][4110/7045]	Time 0.109 (0.251)	Data 0.001 (0.187)	Loss 2.9554 (3.0235)	Prec@1 28.516 (29.954)	Prec@5 61.328 (58.960)
Epoch: [52][4120/7045]	Time 0.101 (0.251)	Data 0.039 (0.187)	Loss 3.1692 (3.0235)	Prec@1 31.641 (29.955)	Prec@5 59.766 (58.959)
Epoch: [52][4130/7045]	Time 0.103 (0.251)	Data 0.001 (0.187)	Loss 3.1700 (3.0236)	Prec@1 30.078 (29.953)	Prec@5 54.297 (58.956)
Epoch: [52][4140/7045]	Time 0.103 (0.251)	Data 0.001 (0.187)	Loss 2.9945 (3.0237)	Prec@1 30.859 (29.948)	Prec@5 59.375 (58.951)
Epoch: [52][4150/7045]	Time 0.310 (0.251)	Data 0.258 (0.187)	Loss 2.8795 (3.0238)	Prec@1 30.078 (29.945)	Prec@5 62.891 (58.947)
Epoch: [52][4160/7045]	Time 0.117 (0.251)	Data 0.066 (0.187)	Loss 3.0826 (3.0237)	Prec@1 29.688 (29.948)	Prec@5 55.859 (58.949)
Epoch: [52][4170/7045]	Time 0.216 (0.251)	Data 0.165 (0.187)	Loss 2.9398 (3.0237)	Prec@1 33.984 (29.949)	Prec@5 64.453 (58.950)
Epoch: [52][4180/7045]	Time 0.110 (0.251)	Data 0.018 (0.187)	Loss 2.9429 (3.0235)	Prec@1 28.906 (29.950)	Prec@5 61.719 (58.952)
Epoch: [52][4190/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.9821 (3.0236)	Prec@1 30.469 (29.950)	Prec@5 63.672 (58.953)
Epoch: [52][4200/7045]	Time 0.102 (0.251)	Data 0.009 (0.187)	Loss 3.1278 (3.0237)	Prec@1 30.469 (29.949)	Prec@5 53.906 (58.951)
Epoch: [52][4210/7045]	Time 0.289 (0.251)	Data 0.238 (0.187)	Loss 2.9105 (3.0237)	Prec@1 33.984 (29.949)	Prec@5 61.328 (58.951)
Epoch: [52][4220/7045]	Time 0.109 (0.251)	Data 0.001 (0.187)	Loss 2.8192 (3.0234)	Prec@1 31.250 (29.951)	Prec@5 62.891 (58.956)
Epoch: [52][4230/7045]	Time 0.400 (0.251)	Data 0.343 (0.187)	Loss 3.3002 (3.0234)	Prec@1 28.516 (29.950)	Prec@5 51.953 (58.958)
Epoch: [52][4240/7045]	Time 0.370 (0.251)	Data 0.320 (0.187)	Loss 3.0329 (3.0234)	Prec@1 27.344 (29.951)	Prec@5 58.984 (58.958)
Epoch: [52][4250/7045]	Time 0.143 (0.251)	Data 0.084 (0.187)	Loss 3.0815 (3.0233)	Prec@1 28.906 (29.954)	Prec@5 58.594 (58.961)
Epoch: [52][4260/7045]	Time 0.258 (0.251)	Data 0.206 (0.187)	Loss 2.7541 (3.0233)	Prec@1 35.547 (29.951)	Prec@5 65.234 (58.962)
Epoch: [52][4270/7045]	Time 0.103 (0.251)	Data 0.005 (0.187)	Loss 3.1021 (3.0233)	Prec@1 30.469 (29.949)	Prec@5 61.719 (58.963)
Epoch: [52][4280/7045]	Time 0.103 (0.251)	Data 0.001 (0.187)	Loss 2.8884 (3.0234)	Prec@1 32.812 (29.948)	Prec@5 59.375 (58.962)
Epoch: [52][4290/7045]	Time 0.363 (0.251)	Data 0.312 (0.187)	Loss 3.1351 (3.0233)	Prec@1 30.859 (29.947)	Prec@5 58.594 (58.965)
Epoch: [52][4300/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.9551 (3.0233)	Prec@1 29.297 (29.949)	Prec@5 58.984 (58.965)
Epoch: [52][4310/7045]	Time 0.532 (0.251)	Data 0.481 (0.187)	Loss 3.1962 (3.0233)	Prec@1 28.516 (29.949)	Prec@5 55.469 (58.965)
Epoch: [52][4320/7045]	Time 0.115 (0.251)	Data 0.063 (0.187)	Loss 2.9448 (3.0235)	Prec@1 30.859 (29.946)	Prec@5 60.938 (58.960)
Epoch: [52][4330/7045]	Time 0.593 (0.251)	Data 0.543 (0.187)	Loss 3.1277 (3.0236)	Prec@1 24.219 (29.943)	Prec@5 57.812 (58.957)
Epoch: [52][4340/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.0410 (3.0237)	Prec@1 32.031 (29.943)	Prec@5 58.984 (58.954)
Epoch: [52][4350/7045]	Time 0.418 (0.251)	Data 0.367 (0.187)	Loss 3.1329 (3.0239)	Prec@1 30.078 (29.941)	Prec@5 53.906 (58.949)
Epoch: [52][4360/7045]	Time 0.102 (0.251)	Data 0.003 (0.187)	Loss 3.2720 (3.0240)	Prec@1 26.562 (29.941)	Prec@5 54.297 (58.948)
Epoch: [52][4370/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.9112 (3.0239)	Prec@1 33.203 (29.943)	Prec@5 60.156 (58.951)
Epoch: [52][4380/7045]	Time 0.237 (0.251)	Data 0.187 (0.187)	Loss 3.0235 (3.0240)	Prec@1 29.688 (29.941)	Prec@5 62.500 (58.948)
Epoch: [52][4390/7045]	Time 0.212 (0.251)	Data 0.162 (0.187)	Loss 2.8739 (3.0240)	Prec@1 33.984 (29.941)	Prec@5 61.719 (58.946)
Epoch: [52][4400/7045]	Time 0.254 (0.251)	Data 0.204 (0.187)	Loss 3.2888 (3.0241)	Prec@1 28.516 (29.938)	Prec@5 54.688 (58.942)
Epoch: [52][4410/7045]	Time 0.649 (0.251)	Data 0.598 (0.187)	Loss 3.1972 (3.0241)	Prec@1 26.953 (29.940)	Prec@5 58.594 (58.944)
Epoch: [52][4420/7045]	Time 0.171 (0.251)	Data 0.119 (0.187)	Loss 3.3022 (3.0241)	Prec@1 20.703 (29.940)	Prec@5 55.469 (58.945)
Epoch: [52][4430/7045]	Time 0.394 (0.251)	Data 0.343 (0.187)	Loss 3.0529 (3.0241)	Prec@1 34.375 (29.940)	Prec@5 57.812 (58.946)
Epoch: [52][4440/7045]	Time 0.107 (0.251)	Data 0.054 (0.187)	Loss 2.9338 (3.0241)	Prec@1 35.547 (29.942)	Prec@5 62.109 (58.946)
Epoch: [52][4450/7045]	Time 0.109 (0.251)	Data 0.057 (0.187)	Loss 3.1425 (3.0240)	Prec@1 32.812 (29.942)	Prec@5 55.859 (58.945)
Epoch: [52][4460/7045]	Time 0.309 (0.251)	Data 0.259 (0.187)	Loss 2.9809 (3.0241)	Prec@1 29.688 (29.941)	Prec@5 62.500 (58.944)
Epoch: [52][4470/7045]	Time 0.225 (0.251)	Data 0.173 (0.187)	Loss 3.0294 (3.0241)	Prec@1 30.078 (29.943)	Prec@5 53.516 (58.944)
Epoch: [52][4480/7045]	Time 0.226 (0.251)	Data 0.174 (0.187)	Loss 3.1380 (3.0242)	Prec@1 29.688 (29.943)	Prec@5 58.203 (58.943)
Epoch: [52][4490/7045]	Time 0.155 (0.251)	Data 0.104 (0.187)	Loss 3.2018 (3.0243)	Prec@1 26.953 (29.944)	Prec@5 55.078 (58.942)
Epoch: [52][4500/7045]	Time 0.277 (0.251)	Data 0.227 (0.187)	Loss 3.1969 (3.0244)	Prec@1 29.688 (29.941)	Prec@5 57.031 (58.939)
Epoch: [52][4510/7045]	Time 0.346 (0.251)	Data 0.296 (0.187)	Loss 3.0106 (3.0244)	Prec@1 31.641 (29.943)	Prec@5 59.766 (58.938)
Epoch: [52][4520/7045]	Time 0.114 (0.251)	Data 0.063 (0.187)	Loss 2.9123 (3.0244)	Prec@1 35.156 (29.943)	Prec@5 59.766 (58.938)
Epoch: [52][4530/7045]	Time 0.674 (0.251)	Data 0.622 (0.187)	Loss 3.1164 (3.0243)	Prec@1 26.953 (29.943)	Prec@5 60.547 (58.940)
Epoch: [52][4540/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 3.1070 (3.0243)	Prec@1 28.906 (29.944)	Prec@5 60.938 (58.942)
Epoch: [52][4550/7045]	Time 0.550 (0.251)	Data 0.499 (0.187)	Loss 3.0585 (3.0244)	Prec@1 30.078 (29.942)	Prec@5 56.641 (58.941)
Epoch: [52][4560/7045]	Time 0.333 (0.251)	Data 0.281 (0.187)	Loss 3.0873 (3.0243)	Prec@1 28.906 (29.943)	Prec@5 60.156 (58.944)
Epoch: [52][4570/7045]	Time 0.100 (0.251)	Data 0.001 (0.187)	Loss 3.0077 (3.0242)	Prec@1 28.906 (29.946)	Prec@5 58.984 (58.947)
Epoch: [52][4580/7045]	Time 0.559 (0.251)	Data 0.509 (0.187)	Loss 2.9509 (3.0242)	Prec@1 28.516 (29.947)	Prec@5 63.281 (58.947)
Epoch: [52][4590/7045]	Time 0.173 (0.251)	Data 0.121 (0.187)	Loss 3.0934 (3.0242)	Prec@1 30.469 (29.946)	Prec@5 53.906 (58.948)
Epoch: [52][4600/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.0380 (3.0242)	Prec@1 26.953 (29.947)	Prec@5 57.031 (58.951)
Epoch: [52][4610/7045]	Time 0.494 (0.251)	Data 0.443 (0.187)	Loss 2.9402 (3.0241)	Prec@1 29.297 (29.946)	Prec@5 60.156 (58.952)
Epoch: [52][4620/7045]	Time 0.578 (0.251)	Data 0.527 (0.187)	Loss 3.0955 (3.0242)	Prec@1 28.516 (29.947)	Prec@5 54.297 (58.949)
Epoch: [52][4630/7045]	Time 0.251 (0.251)	Data 0.200 (0.187)	Loss 2.7685 (3.0241)	Prec@1 35.547 (29.946)	Prec@5 64.062 (58.950)
Epoch: [52][4640/7045]	Time 0.110 (0.251)	Data 0.053 (0.187)	Loss 3.3405 (3.0242)	Prec@1 22.266 (29.944)	Prec@5 55.078 (58.948)
Epoch: [52][4650/7045]	Time 0.668 (0.251)	Data 0.616 (0.188)	Loss 3.1034 (3.0242)	Prec@1 26.562 (29.945)	Prec@5 58.984 (58.947)
Epoch: [52][4660/7045]	Time 0.273 (0.251)	Data 0.223 (0.188)	Loss 2.8865 (3.0242)	Prec@1 33.203 (29.944)	Prec@5 58.984 (58.947)
Epoch: [52][4670/7045]	Time 0.101 (0.251)	Data 0.001 (0.188)	Loss 3.2123 (3.0243)	Prec@1 29.297 (29.940)	Prec@5 53.906 (58.944)
Epoch: [52][4680/7045]	Time 0.648 (0.251)	Data 0.591 (0.188)	Loss 3.1227 (3.0244)	Prec@1 31.641 (29.940)	Prec@5 57.031 (58.943)
Epoch: [52][4690/7045]	Time 0.100 (0.251)	Data 0.001 (0.188)	Loss 3.0147 (3.0244)	Prec@1 28.125 (29.942)	Prec@5 57.812 (58.943)
Epoch: [52][4700/7045]	Time 0.310 (0.251)	Data 0.258 (0.188)	Loss 2.8694 (3.0243)	Prec@1 37.500 (29.944)	Prec@5 64.062 (58.945)
Epoch: [52][4710/7045]	Time 0.153 (0.251)	Data 0.102 (0.188)	Loss 2.9011 (3.0243)	Prec@1 29.688 (29.945)	Prec@5 58.203 (58.946)
Epoch: [52][4720/7045]	Time 0.242 (0.251)	Data 0.190 (0.188)	Loss 3.0494 (3.0242)	Prec@1 28.906 (29.946)	Prec@5 57.812 (58.946)
Epoch: [52][4730/7045]	Time 0.592 (0.251)	Data 0.541 (0.188)	Loss 2.9649 (3.0241)	Prec@1 29.297 (29.947)	Prec@5 60.547 (58.950)
Epoch: [52][4740/7045]	Time 0.263 (0.251)	Data 0.210 (0.188)	Loss 3.0212 (3.0239)	Prec@1 27.344 (29.948)	Prec@5 56.641 (58.951)
Epoch: [52][4750/7045]	Time 0.211 (0.251)	Data 0.160 (0.188)	Loss 3.0686 (3.0239)	Prec@1 28.516 (29.947)	Prec@5 57.812 (58.953)
Epoch: [52][4760/7045]	Time 0.288 (0.251)	Data 0.238 (0.188)	Loss 3.0495 (3.0239)	Prec@1 28.516 (29.947)	Prec@5 57.031 (58.954)
Epoch: [52][4770/7045]	Time 0.102 (0.251)	Data 0.002 (0.188)	Loss 2.9113 (3.0240)	Prec@1 29.297 (29.943)	Prec@5 62.500 (58.953)
Epoch: [52][4780/7045]	Time 0.374 (0.251)	Data 0.324 (0.188)	Loss 2.9781 (3.0239)	Prec@1 30.469 (29.944)	Prec@5 60.547 (58.956)
Epoch: [52][4790/7045]	Time 0.102 (0.251)	Data 0.005 (0.188)	Loss 3.2014 (3.0238)	Prec@1 30.469 (29.948)	Prec@5 55.469 (58.960)
Epoch: [52][4800/7045]	Time 0.300 (0.251)	Data 0.250 (0.188)	Loss 2.9889 (3.0239)	Prec@1 31.641 (29.947)	Prec@5 63.281 (58.960)
Epoch: [52][4810/7045]	Time 0.260 (0.251)	Data 0.209 (0.188)	Loss 2.9135 (3.0238)	Prec@1 32.812 (29.948)	Prec@5 57.812 (58.960)
Epoch: [52][4820/7045]	Time 0.265 (0.251)	Data 0.208 (0.188)	Loss 2.8988 (3.0238)	Prec@1 30.469 (29.946)	Prec@5 60.156 (58.962)
Epoch: [52][4830/7045]	Time 0.556 (0.251)	Data 0.504 (0.188)	Loss 3.0593 (3.0237)	Prec@1 29.297 (29.949)	Prec@5 57.031 (58.963)
Epoch: [52][4840/7045]	Time 0.101 (0.251)	Data 0.001 (0.188)	Loss 3.2172 (3.0238)	Prec@1 26.172 (29.945)	Prec@5 57.422 (58.962)
Epoch: [52][4850/7045]	Time 0.482 (0.251)	Data 0.432 (0.188)	Loss 2.9806 (3.0238)	Prec@1 32.031 (29.947)	Prec@5 56.641 (58.962)
Epoch: [52][4860/7045]	Time 0.124 (0.251)	Data 0.073 (0.188)	Loss 3.1538 (3.0238)	Prec@1 28.125 (29.949)	Prec@5 55.469 (58.963)
Epoch: [52][4870/7045]	Time 0.192 (0.251)	Data 0.141 (0.188)	Loss 2.9598 (3.0237)	Prec@1 33.594 (29.951)	Prec@5 59.375 (58.963)
Epoch: [52][4880/7045]	Time 0.102 (0.251)	Data 0.002 (0.188)	Loss 2.9099 (3.0236)	Prec@1 31.641 (29.953)	Prec@5 59.766 (58.964)
Epoch: [52][4890/7045]	Time 0.171 (0.251)	Data 0.118 (0.188)	Loss 3.0592 (3.0237)	Prec@1 31.250 (29.953)	Prec@5 56.641 (58.960)
Epoch: [52][4900/7045]	Time 0.102 (0.251)	Data 0.005 (0.188)	Loss 3.0127 (3.0238)	Prec@1 28.516 (29.949)	Prec@5 59.766 (58.958)
Epoch: [52][4910/7045]	Time 0.109 (0.251)	Data 0.057 (0.188)	Loss 2.8761 (3.0237)	Prec@1 35.156 (29.950)	Prec@5 61.328 (58.959)
Epoch: [52][4920/7045]	Time 0.225 (0.251)	Data 0.174 (0.188)	Loss 3.0266 (3.0238)	Prec@1 28.125 (29.947)	Prec@5 59.766 (58.958)
Epoch: [52][4930/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 2.9473 (3.0238)	Prec@1 29.688 (29.946)	Prec@5 60.156 (58.959)
Epoch: [52][4940/7045]	Time 0.728 (0.251)	Data 0.675 (0.188)	Loss 2.8497 (3.0237)	Prec@1 35.156 (29.948)	Prec@5 61.719 (58.959)
Epoch: [52][4950/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 3.1394 (3.0237)	Prec@1 27.734 (29.945)	Prec@5 53.906 (58.958)
Epoch: [52][4960/7045]	Time 0.390 (0.251)	Data 0.340 (0.188)	Loss 3.1683 (3.0238)	Prec@1 27.734 (29.943)	Prec@5 54.688 (58.956)
Epoch: [52][4970/7045]	Time 0.181 (0.251)	Data 0.122 (0.188)	Loss 2.9529 (3.0240)	Prec@1 34.766 (29.942)	Prec@5 57.812 (58.951)
Epoch: [52][4980/7045]	Time 0.291 (0.251)	Data 0.240 (0.188)	Loss 2.8110 (3.0240)	Prec@1 30.078 (29.942)	Prec@5 63.281 (58.950)
Epoch: [52][4990/7045]	Time 0.337 (0.251)	Data 0.286 (0.188)	Loss 3.1385 (3.0239)	Prec@1 30.859 (29.945)	Prec@5 57.422 (58.952)
Epoch: [52][5000/7045]	Time 0.125 (0.251)	Data 0.071 (0.188)	Loss 3.0542 (3.0239)	Prec@1 30.078 (29.943)	Prec@5 58.594 (58.951)
Epoch: [52][5010/7045]	Time 0.414 (0.251)	Data 0.359 (0.188)	Loss 2.7726 (3.0239)	Prec@1 31.250 (29.943)	Prec@5 64.062 (58.953)
Epoch: [52][5020/7045]	Time 0.209 (0.251)	Data 0.158 (0.188)	Loss 2.9161 (3.0238)	Prec@1 32.031 (29.944)	Prec@5 58.594 (58.954)
Epoch: [52][5030/7045]	Time 0.431 (0.251)	Data 0.381 (0.188)	Loss 2.9807 (3.0238)	Prec@1 32.422 (29.942)	Prec@5 58.203 (58.950)
Epoch: [52][5040/7045]	Time 0.110 (0.251)	Data 0.001 (0.188)	Loss 2.9397 (3.0238)	Prec@1 30.859 (29.942)	Prec@5 58.984 (58.952)
Epoch: [52][5050/7045]	Time 0.411 (0.251)	Data 0.359 (0.188)	Loss 3.0306 (3.0238)	Prec@1 29.297 (29.941)	Prec@5 57.812 (58.951)
Epoch: [52][5060/7045]	Time 0.414 (0.251)	Data 0.363 (0.188)	Loss 3.0205 (3.0239)	Prec@1 35.547 (29.943)	Prec@5 60.938 (58.949)
Epoch: [52][5070/7045]	Time 0.220 (0.251)	Data 0.167 (0.188)	Loss 2.8858 (3.0238)	Prec@1 30.469 (29.944)	Prec@5 60.547 (58.951)
Epoch: [52][5080/7045]	Time 0.242 (0.251)	Data 0.191 (0.188)	Loss 2.9427 (3.0238)	Prec@1 30.078 (29.943)	Prec@5 60.938 (58.953)
Epoch: [52][5090/7045]	Time 0.118 (0.251)	Data 0.067 (0.188)	Loss 2.9346 (3.0238)	Prec@1 30.859 (29.942)	Prec@5 62.891 (58.953)
Epoch: [52][5100/7045]	Time 0.411 (0.251)	Data 0.360 (0.188)	Loss 3.0866 (3.0238)	Prec@1 28.125 (29.942)	Prec@5 59.375 (58.951)
Epoch: [52][5110/7045]	Time 0.119 (0.251)	Data 0.060 (0.188)	Loss 2.9456 (3.0236)	Prec@1 33.984 (29.945)	Prec@5 60.938 (58.953)
Epoch: [52][5120/7045]	Time 0.571 (0.251)	Data 0.520 (0.188)	Loss 2.9569 (3.0236)	Prec@1 29.688 (29.945)	Prec@5 60.547 (58.954)
Epoch: [52][5130/7045]	Time 0.109 (0.251)	Data 0.004 (0.188)	Loss 3.0750 (3.0235)	Prec@1 26.562 (29.946)	Prec@5 59.375 (58.954)
Epoch: [52][5140/7045]	Time 0.633 (0.251)	Data 0.577 (0.188)	Loss 3.1811 (3.0236)	Prec@1 30.469 (29.945)	Prec@5 55.078 (58.951)
Epoch: [52][5150/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.2193 (3.0236)	Prec@1 26.953 (29.941)	Prec@5 58.203 (58.951)
Epoch: [52][5160/7045]	Time 0.153 (0.251)	Data 0.101 (0.188)	Loss 3.0408 (3.0237)	Prec@1 29.297 (29.941)	Prec@5 60.156 (58.950)
Epoch: [52][5170/7045]	Time 0.103 (0.251)	Data 0.001 (0.187)	Loss 3.0240 (3.0238)	Prec@1 28.906 (29.941)	Prec@5 55.859 (58.948)
Epoch: [52][5180/7045]	Time 0.100 (0.251)	Data 0.001 (0.187)	Loss 3.0561 (3.0239)	Prec@1 29.688 (29.940)	Prec@5 57.031 (58.946)
Epoch: [52][5190/7045]	Time 0.119 (0.251)	Data 0.068 (0.187)	Loss 3.0620 (3.0238)	Prec@1 25.781 (29.942)	Prec@5 56.250 (58.947)
Epoch: [52][5200/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 2.9075 (3.0238)	Prec@1 34.766 (29.943)	Prec@5 61.328 (58.947)
Epoch: [52][5210/7045]	Time 0.370 (0.251)	Data 0.318 (0.187)	Loss 3.0374 (3.0237)	Prec@1 25.781 (29.943)	Prec@5 60.938 (58.948)
Epoch: [52][5220/7045]	Time 0.113 (0.251)	Data 0.060 (0.187)	Loss 2.9909 (3.0238)	Prec@1 31.641 (29.941)	Prec@5 60.156 (58.947)
Epoch: [52][5230/7045]	Time 0.650 (0.251)	Data 0.596 (0.187)	Loss 3.3970 (3.0239)	Prec@1 25.781 (29.940)	Prec@5 51.172 (58.947)
Epoch: [52][5240/7045]	Time 0.103 (0.251)	Data 0.001 (0.187)	Loss 2.9019 (3.0237)	Prec@1 31.641 (29.943)	Prec@5 59.375 (58.951)
Epoch: [52][5250/7045]	Time 0.491 (0.251)	Data 0.439 (0.187)	Loss 2.9547 (3.0237)	Prec@1 31.641 (29.944)	Prec@5 60.938 (58.951)
Epoch: [52][5260/7045]	Time 0.176 (0.251)	Data 0.124 (0.187)	Loss 3.1309 (3.0236)	Prec@1 26.562 (29.945)	Prec@5 57.422 (58.955)
Epoch: [52][5270/7045]	Time 0.209 (0.251)	Data 0.157 (0.187)	Loss 3.0763 (3.0236)	Prec@1 28.906 (29.944)	Prec@5 58.594 (58.955)
Epoch: [52][5280/7045]	Time 0.436 (0.251)	Data 0.386 (0.187)	Loss 3.1738 (3.0236)	Prec@1 29.297 (29.944)	Prec@5 57.812 (58.954)
Epoch: [52][5290/7045]	Time 0.231 (0.251)	Data 0.171 (0.187)	Loss 3.1099 (3.0236)	Prec@1 31.250 (29.943)	Prec@5 57.422 (58.957)
Epoch: [52][5300/7045]	Time 0.509 (0.251)	Data 0.458 (0.187)	Loss 3.3449 (3.0238)	Prec@1 24.609 (29.940)	Prec@5 54.297 (58.953)
Epoch: [52][5310/7045]	Time 0.253 (0.251)	Data 0.202 (0.187)	Loss 3.1652 (3.0238)	Prec@1 27.344 (29.939)	Prec@5 55.078 (58.953)
Epoch: [52][5320/7045]	Time 0.104 (0.251)	Data 0.049 (0.187)	Loss 3.1243 (3.0238)	Prec@1 28.516 (29.937)	Prec@5 59.375 (58.953)
Epoch: [52][5330/7045]	Time 0.432 (0.251)	Data 0.375 (0.187)	Loss 3.0706 (3.0238)	Prec@1 28.125 (29.937)	Prec@5 56.250 (58.952)
Epoch: [52][5340/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 3.0461 (3.0239)	Prec@1 27.344 (29.935)	Prec@5 60.156 (58.949)
Epoch: [52][5350/7045]	Time 0.102 (0.251)	Data 0.005 (0.187)	Loss 2.9009 (3.0240)	Prec@1 31.250 (29.935)	Prec@5 62.500 (58.948)
Epoch: [52][5360/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.0168 (3.0239)	Prec@1 31.250 (29.935)	Prec@5 58.984 (58.949)
Epoch: [52][5370/7045]	Time 0.102 (0.251)	Data 0.050 (0.187)	Loss 3.1794 (3.0241)	Prec@1 26.953 (29.934)	Prec@5 57.812 (58.947)
Epoch: [52][5380/7045]	Time 0.526 (0.251)	Data 0.476 (0.187)	Loss 2.8873 (3.0239)	Prec@1 34.375 (29.938)	Prec@5 60.938 (58.951)
Epoch: [52][5390/7045]	Time 0.102 (0.251)	Data 0.008 (0.187)	Loss 3.0504 (3.0237)	Prec@1 30.078 (29.940)	Prec@5 53.125 (58.952)
Epoch: [52][5400/7045]	Time 0.457 (0.251)	Data 0.404 (0.187)	Loss 3.0065 (3.0237)	Prec@1 28.516 (29.942)	Prec@5 56.250 (58.953)
Epoch: [52][5410/7045]	Time 0.416 (0.251)	Data 0.364 (0.187)	Loss 3.1144 (3.0237)	Prec@1 27.344 (29.941)	Prec@5 57.031 (58.953)
Epoch: [52][5420/7045]	Time 0.348 (0.251)	Data 0.295 (0.187)	Loss 2.8087 (3.0236)	Prec@1 37.109 (29.945)	Prec@5 60.938 (58.952)
Epoch: [52][5430/7045]	Time 0.166 (0.251)	Data 0.115 (0.187)	Loss 2.9823 (3.0236)	Prec@1 31.250 (29.945)	Prec@5 60.156 (58.953)
Epoch: [52][5440/7045]	Time 0.188 (0.251)	Data 0.131 (0.187)	Loss 2.8105 (3.0236)	Prec@1 34.766 (29.947)	Prec@5 66.406 (58.955)
Epoch: [52][5450/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.8270 (3.0235)	Prec@1 33.984 (29.948)	Prec@5 61.328 (58.958)
Epoch: [52][5460/7045]	Time 0.102 (0.251)	Data 0.009 (0.187)	Loss 2.9993 (3.0236)	Prec@1 32.031 (29.947)	Prec@5 59.375 (58.957)
Epoch: [52][5470/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.1479 (3.0237)	Prec@1 32.422 (29.947)	Prec@5 56.641 (58.955)
Epoch: [52][5480/7045]	Time 0.165 (0.251)	Data 0.103 (0.187)	Loss 2.7773 (3.0237)	Prec@1 32.812 (29.947)	Prec@5 61.719 (58.954)
Epoch: [52][5490/7045]	Time 0.098 (0.251)	Data 0.005 (0.187)	Loss 3.3054 (3.0238)	Prec@1 25.391 (29.944)	Prec@5 51.172 (58.950)
Epoch: [52][5500/7045]	Time 0.113 (0.251)	Data 0.059 (0.187)	Loss 2.9583 (3.0238)	Prec@1 32.422 (29.945)	Prec@5 63.672 (58.949)
Epoch: [52][5510/7045]	Time 0.110 (0.251)	Data 0.057 (0.187)	Loss 3.1470 (3.0238)	Prec@1 27.734 (29.945)	Prec@5 54.297 (58.950)
Epoch: [52][5520/7045]	Time 0.407 (0.251)	Data 0.355 (0.187)	Loss 3.1883 (3.0238)	Prec@1 27.734 (29.944)	Prec@5 52.734 (58.947)
Epoch: [52][5530/7045]	Time 0.255 (0.251)	Data 0.204 (0.187)	Loss 3.1816 (3.0238)	Prec@1 29.297 (29.945)	Prec@5 56.250 (58.946)
Epoch: [52][5540/7045]	Time 0.479 (0.251)	Data 0.427 (0.187)	Loss 2.7488 (3.0239)	Prec@1 35.938 (29.944)	Prec@5 64.453 (58.946)
Epoch: [52][5550/7045]	Time 0.209 (0.251)	Data 0.148 (0.187)	Loss 2.9554 (3.0239)	Prec@1 28.516 (29.944)	Prec@5 59.375 (58.947)
Epoch: [52][5560/7045]	Time 0.404 (0.251)	Data 0.353 (0.187)	Loss 2.9576 (3.0238)	Prec@1 31.641 (29.946)	Prec@5 58.984 (58.947)
Epoch: [52][5570/7045]	Time 0.105 (0.251)	Data 0.053 (0.187)	Loss 3.0049 (3.0238)	Prec@1 30.469 (29.943)	Prec@5 60.156 (58.947)
Epoch: [52][5580/7045]	Time 0.218 (0.251)	Data 0.166 (0.187)	Loss 2.9719 (3.0238)	Prec@1 29.297 (29.944)	Prec@5 58.594 (58.947)
Epoch: [52][5590/7045]	Time 0.103 (0.251)	Data 0.051 (0.187)	Loss 2.9532 (3.0238)	Prec@1 29.688 (29.944)	Prec@5 60.547 (58.947)
Epoch: [52][5600/7045]	Time 0.666 (0.251)	Data 0.614 (0.187)	Loss 2.9853 (3.0238)	Prec@1 29.297 (29.944)	Prec@5 63.281 (58.950)
Epoch: [52][5610/7045]	Time 0.104 (0.251)	Data 0.051 (0.187)	Loss 2.8722 (3.0238)	Prec@1 32.812 (29.943)	Prec@5 59.375 (58.950)
Epoch: [52][5620/7045]	Time 0.440 (0.251)	Data 0.389 (0.187)	Loss 2.9950 (3.0237)	Prec@1 33.203 (29.944)	Prec@5 61.719 (58.951)
Epoch: [52][5630/7045]	Time 0.387 (0.251)	Data 0.336 (0.187)	Loss 3.0440 (3.0238)	Prec@1 29.297 (29.944)	Prec@5 56.250 (58.949)
Epoch: [52][5640/7045]	Time 0.212 (0.251)	Data 0.155 (0.187)	Loss 3.1176 (3.0238)	Prec@1 29.688 (29.944)	Prec@5 57.812 (58.948)
Epoch: [52][5650/7045]	Time 0.617 (0.251)	Data 0.566 (0.187)	Loss 2.8723 (3.0238)	Prec@1 29.297 (29.944)	Prec@5 62.891 (58.949)
Epoch: [52][5660/7045]	Time 0.103 (0.251)	Data 0.051 (0.187)	Loss 3.1004 (3.0238)	Prec@1 25.391 (29.943)	Prec@5 57.031 (58.948)
Epoch: [52][5670/7045]	Time 0.669 (0.251)	Data 0.613 (0.187)	Loss 3.1260 (3.0238)	Prec@1 29.297 (29.943)	Prec@5 57.031 (58.949)
Epoch: [52][5680/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.8916 (3.0239)	Prec@1 35.547 (29.942)	Prec@5 64.062 (58.948)
Epoch: [52][5690/7045]	Time 0.753 (0.251)	Data 0.702 (0.187)	Loss 2.9154 (3.0239)	Prec@1 31.250 (29.942)	Prec@5 61.719 (58.949)
Epoch: [52][5700/7045]	Time 0.107 (0.251)	Data 0.052 (0.187)	Loss 3.0872 (3.0238)	Prec@1 26.562 (29.942)	Prec@5 56.250 (58.950)
Epoch: [52][5710/7045]	Time 0.565 (0.251)	Data 0.513 (0.187)	Loss 2.8906 (3.0237)	Prec@1 33.594 (29.943)	Prec@5 61.719 (58.952)
Epoch: [52][5720/7045]	Time 0.276 (0.251)	Data 0.224 (0.187)	Loss 3.0864 (3.0237)	Prec@1 29.688 (29.944)	Prec@5 57.812 (58.954)
Epoch: [52][5730/7045]	Time 0.325 (0.251)	Data 0.265 (0.187)	Loss 3.0446 (3.0238)	Prec@1 30.469 (29.943)	Prec@5 55.859 (58.952)
Epoch: [52][5740/7045]	Time 0.344 (0.251)	Data 0.294 (0.187)	Loss 3.0764 (3.0238)	Prec@1 28.125 (29.943)	Prec@5 59.375 (58.952)
Epoch: [52][5750/7045]	Time 0.101 (0.251)	Data 0.008 (0.187)	Loss 3.1751 (3.0239)	Prec@1 27.734 (29.943)	Prec@5 57.812 (58.952)
Epoch: [52][5760/7045]	Time 0.456 (0.251)	Data 0.406 (0.187)	Loss 3.2463 (3.0239)	Prec@1 27.734 (29.942)	Prec@5 55.469 (58.950)
Epoch: [52][5770/7045]	Time 0.278 (0.251)	Data 0.226 (0.187)	Loss 3.1429 (3.0240)	Prec@1 26.172 (29.942)	Prec@5 58.594 (58.950)
Epoch: [52][5780/7045]	Time 0.134 (0.251)	Data 0.085 (0.187)	Loss 3.0008 (3.0241)	Prec@1 30.469 (29.940)	Prec@5 60.547 (58.950)
Epoch: [52][5790/7045]	Time 0.498 (0.251)	Data 0.440 (0.187)	Loss 3.2378 (3.0241)	Prec@1 27.344 (29.941)	Prec@5 54.688 (58.951)
Epoch: [52][5800/7045]	Time 0.102 (0.251)	Data 0.019 (0.187)	Loss 3.1471 (3.0240)	Prec@1 30.078 (29.941)	Prec@5 58.984 (58.954)
Epoch: [52][5810/7045]	Time 0.428 (0.251)	Data 0.377 (0.187)	Loss 2.9744 (3.0239)	Prec@1 32.031 (29.944)	Prec@5 61.719 (58.957)
Epoch: [52][5820/7045]	Time 0.195 (0.251)	Data 0.143 (0.187)	Loss 3.2059 (3.0238)	Prec@1 27.344 (29.946)	Prec@5 57.031 (58.959)
Epoch: [52][5830/7045]	Time 0.211 (0.251)	Data 0.160 (0.187)	Loss 2.9678 (3.0237)	Prec@1 31.641 (29.948)	Prec@5 62.891 (58.963)
Epoch: [52][5840/7045]	Time 0.256 (0.251)	Data 0.206 (0.188)	Loss 2.8583 (3.0235)	Prec@1 30.859 (29.951)	Prec@5 62.500 (58.964)
Epoch: [52][5850/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.9298 (3.0236)	Prec@1 34.766 (29.952)	Prec@5 60.156 (58.961)
Epoch: [52][5860/7045]	Time 0.268 (0.251)	Data 0.217 (0.188)	Loss 2.9369 (3.0236)	Prec@1 36.328 (29.954)	Prec@5 62.500 (58.960)
Epoch: [52][5870/7045]	Time 0.136 (0.251)	Data 0.084 (0.187)	Loss 3.1190 (3.0235)	Prec@1 23.828 (29.953)	Prec@5 58.594 (58.963)
Epoch: [52][5880/7045]	Time 0.113 (0.251)	Data 0.062 (0.188)	Loss 2.8502 (3.0235)	Prec@1 34.375 (29.954)	Prec@5 61.328 (58.965)
Epoch: [52][5890/7045]	Time 0.110 (0.251)	Data 0.001 (0.188)	Loss 3.1459 (3.0234)	Prec@1 25.000 (29.953)	Prec@5 53.125 (58.966)
Epoch: [52][5900/7045]	Time 0.267 (0.251)	Data 0.215 (0.188)	Loss 3.0852 (3.0234)	Prec@1 28.906 (29.954)	Prec@5 57.422 (58.966)
Epoch: [52][5910/7045]	Time 0.178 (0.251)	Data 0.127 (0.188)	Loss 2.8507 (3.0235)	Prec@1 33.203 (29.953)	Prec@5 62.891 (58.967)
Epoch: [52][5920/7045]	Time 0.500 (0.251)	Data 0.443 (0.188)	Loss 2.8471 (3.0235)	Prec@1 32.422 (29.955)	Prec@5 63.672 (58.967)
Epoch: [52][5930/7045]	Time 0.102 (0.251)	Data 0.010 (0.188)	Loss 3.0198 (3.0235)	Prec@1 30.078 (29.954)	Prec@5 59.375 (58.968)
Epoch: [52][5940/7045]	Time 0.340 (0.251)	Data 0.284 (0.188)	Loss 3.0441 (3.0235)	Prec@1 30.078 (29.954)	Prec@5 59.766 (58.968)
Epoch: [52][5950/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 3.1659 (3.0234)	Prec@1 25.000 (29.955)	Prec@5 53.906 (58.968)
Epoch: [52][5960/7045]	Time 0.208 (0.251)	Data 0.156 (0.188)	Loss 3.0404 (3.0235)	Prec@1 30.469 (29.954)	Prec@5 58.594 (58.967)
Epoch: [52][5970/7045]	Time 0.318 (0.251)	Data 0.268 (0.188)	Loss 3.1263 (3.0236)	Prec@1 31.641 (29.956)	Prec@5 55.469 (58.966)
Epoch: [52][5980/7045]	Time 0.140 (0.251)	Data 0.088 (0.188)	Loss 3.0349 (3.0236)	Prec@1 27.344 (29.954)	Prec@5 57.031 (58.963)
Epoch: [52][5990/7045]	Time 0.165 (0.251)	Data 0.104 (0.188)	Loss 2.9637 (3.0236)	Prec@1 30.469 (29.955)	Prec@5 57.812 (58.963)
Epoch: [52][6000/7045]	Time 0.101 (0.251)	Data 0.001 (0.188)	Loss 3.0825 (3.0237)	Prec@1 25.781 (29.955)	Prec@5 58.594 (58.960)
Epoch: [52][6010/7045]	Time 0.456 (0.251)	Data 0.406 (0.188)	Loss 3.0394 (3.0237)	Prec@1 29.297 (29.953)	Prec@5 58.203 (58.961)
Epoch: [52][6020/7045]	Time 0.211 (0.251)	Data 0.160 (0.188)	Loss 3.2569 (3.0237)	Prec@1 25.000 (29.953)	Prec@5 52.734 (58.960)
Epoch: [52][6030/7045]	Time 0.193 (0.251)	Data 0.141 (0.188)	Loss 3.1000 (3.0238)	Prec@1 27.734 (29.953)	Prec@5 60.547 (58.958)
Epoch: [52][6040/7045]	Time 0.109 (0.251)	Data 0.003 (0.188)	Loss 3.1326 (3.0238)	Prec@1 26.562 (29.951)	Prec@5 57.812 (58.960)
Epoch: [52][6050/7045]	Time 0.141 (0.251)	Data 0.090 (0.188)	Loss 3.3053 (3.0239)	Prec@1 25.781 (29.949)	Prec@5 56.250 (58.958)
Epoch: [52][6060/7045]	Time 0.322 (0.251)	Data 0.270 (0.188)	Loss 2.8066 (3.0240)	Prec@1 33.984 (29.947)	Prec@5 65.625 (58.956)
Epoch: [52][6070/7045]	Time 0.185 (0.251)	Data 0.133 (0.188)	Loss 3.1314 (3.0242)	Prec@1 30.078 (29.945)	Prec@5 53.516 (58.952)
Epoch: [52][6080/7045]	Time 0.567 (0.251)	Data 0.516 (0.188)	Loss 2.8395 (3.0241)	Prec@1 32.422 (29.946)	Prec@5 62.891 (58.955)
Epoch: [52][6090/7045]	Time 0.102 (0.251)	Data 0.006 (0.188)	Loss 3.0403 (3.0241)	Prec@1 30.859 (29.947)	Prec@5 58.203 (58.955)
Epoch: [52][6100/7045]	Time 0.468 (0.251)	Data 0.417 (0.188)	Loss 2.8262 (3.0242)	Prec@1 31.641 (29.945)	Prec@5 62.500 (58.954)
Epoch: [52][6110/7045]	Time 0.268 (0.251)	Data 0.217 (0.188)	Loss 3.0451 (3.0243)	Prec@1 25.000 (29.941)	Prec@5 60.156 (58.952)
Epoch: [52][6120/7045]	Time 0.356 (0.251)	Data 0.304 (0.188)	Loss 3.2174 (3.0243)	Prec@1 27.344 (29.941)	Prec@5 56.641 (58.952)
Epoch: [52][6130/7045]	Time 0.102 (0.251)	Data 0.010 (0.188)	Loss 2.9209 (3.0244)	Prec@1 31.641 (29.939)	Prec@5 60.938 (58.951)
Epoch: [52][6140/7045]	Time 0.367 (0.251)	Data 0.316 (0.188)	Loss 2.9435 (3.0243)	Prec@1 32.031 (29.940)	Prec@5 60.156 (58.954)
Epoch: [52][6150/7045]	Time 0.512 (0.251)	Data 0.461 (0.188)	Loss 3.1163 (3.0244)	Prec@1 26.172 (29.940)	Prec@5 58.984 (58.954)
Epoch: [52][6160/7045]	Time 0.154 (0.251)	Data 0.103 (0.188)	Loss 2.9092 (3.0244)	Prec@1 34.375 (29.938)	Prec@5 62.500 (58.953)
Epoch: [52][6170/7045]	Time 0.661 (0.251)	Data 0.601 (0.188)	Loss 2.9975 (3.0243)	Prec@1 33.594 (29.939)	Prec@5 56.641 (58.954)
Epoch: [52][6180/7045]	Time 0.108 (0.251)	Data 0.001 (0.188)	Loss 2.7353 (3.0242)	Prec@1 32.812 (29.939)	Prec@5 66.406 (58.957)
Epoch: [52][6190/7045]	Time 0.520 (0.251)	Data 0.461 (0.188)	Loss 2.9446 (3.0243)	Prec@1 32.812 (29.937)	Prec@5 58.203 (58.955)
Epoch: [52][6200/7045]	Time 0.101 (0.251)	Data 0.001 (0.188)	Loss 3.1093 (3.0243)	Prec@1 28.906 (29.937)	Prec@5 56.641 (58.957)
Epoch: [52][6210/7045]	Time 0.293 (0.251)	Data 0.242 (0.188)	Loss 3.3315 (3.0245)	Prec@1 25.391 (29.935)	Prec@5 53.516 (58.954)
Epoch: [52][6220/7045]	Time 0.103 (0.251)	Data 0.051 (0.188)	Loss 3.0047 (3.0246)	Prec@1 30.078 (29.934)	Prec@5 59.375 (58.951)
Epoch: [52][6230/7045]	Time 0.101 (0.251)	Data 0.015 (0.188)	Loss 3.2601 (3.0245)	Prec@1 27.344 (29.936)	Prec@5 49.609 (58.950)
Epoch: [52][6240/7045]	Time 0.101 (0.251)	Data 0.005 (0.188)	Loss 2.9986 (3.0246)	Prec@1 27.734 (29.935)	Prec@5 57.031 (58.949)
Epoch: [52][6250/7045]	Time 0.281 (0.251)	Data 0.230 (0.188)	Loss 2.9134 (3.0246)	Prec@1 28.516 (29.931)	Prec@5 64.844 (58.948)
Epoch: [52][6260/7045]	Time 0.329 (0.251)	Data 0.278 (0.188)	Loss 2.9256 (3.0247)	Prec@1 33.203 (29.930)	Prec@5 62.109 (58.948)
Epoch: [52][6270/7045]	Time 0.368 (0.251)	Data 0.317 (0.188)	Loss 2.9982 (3.0247)	Prec@1 29.688 (29.930)	Prec@5 59.766 (58.947)
Epoch: [52][6280/7045]	Time 0.186 (0.251)	Data 0.135 (0.188)	Loss 2.8328 (3.0247)	Prec@1 35.938 (29.931)	Prec@5 60.156 (58.949)
Epoch: [52][6290/7045]	Time 0.362 (0.251)	Data 0.310 (0.188)	Loss 2.9477 (3.0248)	Prec@1 30.078 (29.928)	Prec@5 64.453 (58.948)
Epoch: [52][6300/7045]	Time 0.102 (0.251)	Data 0.004 (0.188)	Loss 2.9889 (3.0248)	Prec@1 28.516 (29.927)	Prec@5 61.719 (58.947)
Epoch: [52][6310/7045]	Time 0.111 (0.251)	Data 0.001 (0.188)	Loss 3.1641 (3.0249)	Prec@1 30.078 (29.927)	Prec@5 54.688 (58.946)
Epoch: [52][6320/7045]	Time 0.102 (0.251)	Data 0.050 (0.188)	Loss 2.9238 (3.0249)	Prec@1 30.469 (29.925)	Prec@5 58.203 (58.946)
Epoch: [52][6330/7045]	Time 0.102 (0.251)	Data 0.003 (0.188)	Loss 2.8942 (3.0249)	Prec@1 32.031 (29.924)	Prec@5 59.766 (58.946)
Epoch: [52][6340/7045]	Time 0.233 (0.251)	Data 0.182 (0.188)	Loss 3.0562 (3.0249)	Prec@1 30.078 (29.922)	Prec@5 58.203 (58.946)
Epoch: [52][6350/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 2.8159 (3.0249)	Prec@1 33.203 (29.924)	Prec@5 67.188 (58.946)
Epoch: [52][6360/7045]	Time 0.108 (0.251)	Data 0.001 (0.188)	Loss 3.0105 (3.0250)	Prec@1 28.906 (29.922)	Prec@5 58.984 (58.943)
Epoch: [52][6370/7045]	Time 0.275 (0.251)	Data 0.224 (0.188)	Loss 3.0207 (3.0250)	Prec@1 30.078 (29.924)	Prec@5 59.375 (58.944)
Epoch: [52][6380/7045]	Time 0.225 (0.251)	Data 0.174 (0.188)	Loss 3.0774 (3.0250)	Prec@1 28.516 (29.924)	Prec@5 56.641 (58.943)
Epoch: [52][6390/7045]	Time 0.429 (0.251)	Data 0.378 (0.188)	Loss 2.9981 (3.0249)	Prec@1 29.297 (29.924)	Prec@5 60.156 (58.943)
Epoch: [52][6400/7045]	Time 0.196 (0.251)	Data 0.145 (0.188)	Loss 3.2595 (3.0249)	Prec@1 25.781 (29.925)	Prec@5 50.391 (58.942)
Epoch: [52][6410/7045]	Time 0.102 (0.251)	Data 0.007 (0.188)	Loss 2.9507 (3.0249)	Prec@1 33.203 (29.925)	Prec@5 61.719 (58.942)
Epoch: [52][6420/7045]	Time 0.148 (0.251)	Data 0.098 (0.188)	Loss 3.0731 (3.0249)	Prec@1 29.297 (29.927)	Prec@5 60.547 (58.943)
Epoch: [52][6430/7045]	Time 0.106 (0.251)	Data 0.054 (0.188)	Loss 3.1154 (3.0250)	Prec@1 30.859 (29.926)	Prec@5 59.375 (58.942)
Epoch: [52][6440/7045]	Time 0.111 (0.251)	Data 0.060 (0.188)	Loss 3.0513 (3.0250)	Prec@1 32.812 (29.926)	Prec@5 59.766 (58.941)
Epoch: [52][6450/7045]	Time 0.282 (0.251)	Data 0.231 (0.188)	Loss 3.0683 (3.0251)	Prec@1 31.250 (29.924)	Prec@5 57.031 (58.940)
Epoch: [52][6460/7045]	Time 0.103 (0.251)	Data 0.001 (0.188)	Loss 3.0503 (3.0252)	Prec@1 27.344 (29.921)	Prec@5 58.984 (58.939)
Epoch: [52][6470/7045]	Time 0.210 (0.251)	Data 0.154 (0.188)	Loss 2.9731 (3.0252)	Prec@1 30.859 (29.922)	Prec@5 56.250 (58.938)
Epoch: [52][6480/7045]	Time 0.418 (0.251)	Data 0.366 (0.188)	Loss 2.8951 (3.0253)	Prec@1 28.906 (29.921)	Prec@5 60.938 (58.935)
Epoch: [52][6490/7045]	Time 0.108 (0.251)	Data 0.009 (0.188)	Loss 3.0190 (3.0253)	Prec@1 28.516 (29.921)	Prec@5 58.203 (58.935)
Epoch: [52][6500/7045]	Time 0.482 (0.251)	Data 0.431 (0.188)	Loss 3.0963 (3.0254)	Prec@1 27.734 (29.921)	Prec@5 58.984 (58.932)
Epoch: [52][6510/7045]	Time 0.110 (0.251)	Data 0.004 (0.188)	Loss 3.0151 (3.0255)	Prec@1 29.688 (29.919)	Prec@5 62.109 (58.930)
Epoch: [52][6520/7045]	Time 0.418 (0.251)	Data 0.367 (0.188)	Loss 3.1977 (3.0254)	Prec@1 28.906 (29.919)	Prec@5 56.250 (58.932)
Epoch: [52][6530/7045]	Time 0.172 (0.251)	Data 0.119 (0.188)	Loss 3.0889 (3.0255)	Prec@1 29.688 (29.920)	Prec@5 56.641 (58.932)
Epoch: [52][6540/7045]	Time 0.462 (0.251)	Data 0.411 (0.188)	Loss 2.9742 (3.0254)	Prec@1 29.688 (29.920)	Prec@5 60.547 (58.934)
Epoch: [52][6550/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 3.1635 (3.0254)	Prec@1 29.688 (29.923)	Prec@5 57.812 (58.934)
Epoch: [52][6560/7045]	Time 0.312 (0.251)	Data 0.262 (0.187)	Loss 3.0481 (3.0253)	Prec@1 31.641 (29.924)	Prec@5 57.031 (58.934)
Epoch: [52][6570/7045]	Time 0.107 (0.251)	Data 0.054 (0.187)	Loss 3.1991 (3.0253)	Prec@1 26.953 (29.923)	Prec@5 54.688 (58.934)
Epoch: [52][6580/7045]	Time 0.211 (0.251)	Data 0.158 (0.187)	Loss 3.2594 (3.0254)	Prec@1 27.344 (29.923)	Prec@5 52.734 (58.935)
Epoch: [52][6590/7045]	Time 0.111 (0.251)	Data 0.056 (0.187)	Loss 3.0507 (3.0253)	Prec@1 29.688 (29.926)	Prec@5 60.547 (58.937)
Epoch: [52][6600/7045]	Time 0.154 (0.251)	Data 0.103 (0.187)	Loss 3.1675 (3.0253)	Prec@1 32.031 (29.927)	Prec@5 58.984 (58.939)
Epoch: [52][6610/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.0807 (3.0255)	Prec@1 25.391 (29.924)	Prec@5 59.375 (58.937)
Epoch: [52][6620/7045]	Time 0.118 (0.251)	Data 0.066 (0.187)	Loss 3.2485 (3.0256)	Prec@1 21.094 (29.922)	Prec@5 54.688 (58.937)
Epoch: [52][6630/7045]	Time 0.102 (0.251)	Data 0.006 (0.187)	Loss 3.0704 (3.0257)	Prec@1 30.859 (29.920)	Prec@5 56.641 (58.934)
Epoch: [52][6640/7045]	Time 0.248 (0.251)	Data 0.197 (0.187)	Loss 3.1511 (3.0257)	Prec@1 27.344 (29.919)	Prec@5 57.422 (58.933)
Epoch: [52][6650/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 3.0371 (3.0258)	Prec@1 30.469 (29.918)	Prec@5 56.250 (58.931)
Epoch: [52][6660/7045]	Time 0.182 (0.251)	Data 0.131 (0.187)	Loss 3.0971 (3.0259)	Prec@1 28.516 (29.915)	Prec@5 57.031 (58.929)
Epoch: [52][6670/7045]	Time 0.144 (0.251)	Data 0.093 (0.187)	Loss 3.3854 (3.0259)	Prec@1 23.047 (29.914)	Prec@5 50.781 (58.928)
Epoch: [52][6680/7045]	Time 0.103 (0.251)	Data 0.051 (0.187)	Loss 3.0659 (3.0259)	Prec@1 32.812 (29.916)	Prec@5 60.938 (58.926)
Epoch: [52][6690/7045]	Time 0.564 (0.251)	Data 0.504 (0.187)	Loss 3.0203 (3.0259)	Prec@1 30.859 (29.917)	Prec@5 57.031 (58.925)
Epoch: [52][6700/7045]	Time 0.124 (0.251)	Data 0.068 (0.187)	Loss 3.2954 (3.0260)	Prec@1 23.438 (29.915)	Prec@5 50.391 (58.922)
Epoch: [52][6710/7045]	Time 0.621 (0.251)	Data 0.570 (0.187)	Loss 3.0830 (3.0260)	Prec@1 30.469 (29.914)	Prec@5 57.031 (58.923)
Epoch: [52][6720/7045]	Time 0.101 (0.251)	Data 0.045 (0.187)	Loss 2.9225 (3.0261)	Prec@1 29.297 (29.914)	Prec@5 57.422 (58.922)
Epoch: [52][6730/7045]	Time 0.808 (0.251)	Data 0.756 (0.187)	Loss 3.0779 (3.0261)	Prec@1 31.641 (29.913)	Prec@5 58.203 (58.921)
Epoch: [52][6740/7045]	Time 0.109 (0.251)	Data 0.058 (0.187)	Loss 3.0007 (3.0261)	Prec@1 30.078 (29.913)	Prec@5 61.328 (58.921)
Epoch: [52][6750/7045]	Time 0.292 (0.251)	Data 0.240 (0.187)	Loss 3.1817 (3.0261)	Prec@1 27.344 (29.914)	Prec@5 57.422 (58.921)
Epoch: [52][6760/7045]	Time 0.102 (0.251)	Data 0.006 (0.187)	Loss 3.0585 (3.0260)	Prec@1 27.734 (29.914)	Prec@5 57.812 (58.922)
Epoch: [52][6770/7045]	Time 0.333 (0.251)	Data 0.283 (0.187)	Loss 2.8347 (3.0260)	Prec@1 32.422 (29.915)	Prec@5 62.891 (58.923)
Epoch: [52][6780/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.9531 (3.0260)	Prec@1 27.734 (29.913)	Prec@5 58.984 (58.923)
Epoch: [52][6790/7045]	Time 0.108 (0.251)	Data 0.003 (0.187)	Loss 2.8232 (3.0260)	Prec@1 33.984 (29.913)	Prec@5 61.719 (58.921)
Epoch: [52][6800/7045]	Time 0.257 (0.251)	Data 0.206 (0.187)	Loss 3.1431 (3.0261)	Prec@1 27.344 (29.914)	Prec@5 56.250 (58.922)
Epoch: [52][6810/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 2.9224 (3.0260)	Prec@1 33.203 (29.916)	Prec@5 58.203 (58.922)
Epoch: [52][6820/7045]	Time 0.460 (0.251)	Data 0.409 (0.187)	Loss 3.1148 (3.0260)	Prec@1 30.078 (29.915)	Prec@5 55.469 (58.921)
Epoch: [52][6830/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.1106 (3.0260)	Prec@1 31.250 (29.917)	Prec@5 55.859 (58.922)
Epoch: [52][6840/7045]	Time 0.392 (0.251)	Data 0.334 (0.187)	Loss 2.9368 (3.0261)	Prec@1 26.953 (29.916)	Prec@5 57.031 (58.920)
Epoch: [52][6850/7045]	Time 0.336 (0.251)	Data 0.285 (0.187)	Loss 3.1177 (3.0260)	Prec@1 24.609 (29.920)	Prec@5 55.078 (58.921)
Epoch: [52][6860/7045]	Time 0.263 (0.251)	Data 0.212 (0.187)	Loss 2.8809 (3.0260)	Prec@1 31.641 (29.920)	Prec@5 61.719 (58.922)
Epoch: [52][6870/7045]	Time 0.176 (0.251)	Data 0.125 (0.187)	Loss 2.9708 (3.0260)	Prec@1 32.812 (29.920)	Prec@5 62.500 (58.922)
Epoch: [52][6880/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.1400 (3.0261)	Prec@1 25.781 (29.919)	Prec@5 53.125 (58.920)
Epoch: [52][6890/7045]	Time 0.102 (0.251)	Data 0.004 (0.187)	Loss 3.0553 (3.0260)	Prec@1 31.250 (29.921)	Prec@5 59.375 (58.921)
Epoch: [52][6900/7045]	Time 0.440 (0.251)	Data 0.389 (0.187)	Loss 2.9884 (3.0260)	Prec@1 27.344 (29.921)	Prec@5 64.062 (58.921)
Epoch: [52][6910/7045]	Time 0.197 (0.251)	Data 0.146 (0.187)	Loss 3.0058 (3.0260)	Prec@1 31.250 (29.922)	Prec@5 60.938 (58.922)
Epoch: [52][6920/7045]	Time 0.545 (0.251)	Data 0.485 (0.187)	Loss 3.0548 (3.0260)	Prec@1 31.641 (29.921)	Prec@5 56.641 (58.921)
Epoch: [52][6930/7045]	Time 0.109 (0.251)	Data 0.001 (0.187)	Loss 3.0140 (3.0261)	Prec@1 29.297 (29.920)	Prec@5 60.156 (58.918)
Epoch: [52][6940/7045]	Time 0.515 (0.251)	Data 0.457 (0.187)	Loss 2.9009 (3.0261)	Prec@1 28.906 (29.920)	Prec@5 61.719 (58.920)
Epoch: [52][6950/7045]	Time 0.308 (0.251)	Data 0.257 (0.187)	Loss 3.0725 (3.0261)	Prec@1 30.078 (29.921)	Prec@5 58.594 (58.920)
Epoch: [52][6960/7045]	Time 0.153 (0.251)	Data 0.096 (0.187)	Loss 2.9839 (3.0261)	Prec@1 30.859 (29.920)	Prec@5 64.844 (58.920)
Epoch: [52][6970/7045]	Time 0.373 (0.251)	Data 0.322 (0.187)	Loss 2.8264 (3.0260)	Prec@1 33.594 (29.922)	Prec@5 58.594 (58.922)
Epoch: [52][6980/7045]	Time 0.205 (0.251)	Data 0.144 (0.187)	Loss 2.8351 (3.0261)	Prec@1 32.422 (29.921)	Prec@5 62.500 (58.921)
Epoch: [52][6990/7045]	Time 0.528 (0.251)	Data 0.476 (0.187)	Loss 3.0049 (3.0260)	Prec@1 28.516 (29.921)	Prec@5 58.594 (58.922)
Epoch: [52][7000/7045]	Time 0.444 (0.251)	Data 0.384 (0.187)	Loss 2.7938 (3.0260)	Prec@1 33.203 (29.921)	Prec@5 62.891 (58.922)
Epoch: [52][7010/7045]	Time 0.328 (0.251)	Data 0.277 (0.187)	Loss 2.8300 (3.0260)	Prec@1 30.469 (29.920)	Prec@5 60.547 (58.921)
Epoch: [52][7020/7045]	Time 0.541 (0.251)	Data 0.491 (0.187)	Loss 3.0591 (3.0260)	Prec@1 28.125 (29.922)	Prec@5 58.203 (58.921)
Epoch: [52][7030/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.9571 (3.0260)	Prec@1 30.859 (29.921)	Prec@5 63.672 (58.921)
Epoch: [52][7040/7045]	Time 0.145 (0.251)	Data 0.094 (0.187)	Loss 2.9622 (3.0259)	Prec@1 32.031 (29.923)	Prec@5 58.594 (58.919)
Test: [0/143]	Time 1.150 (1.150)	Loss 2.4649 (2.4649)	Prec@1 38.672 (38.672)	Prec@5 71.484 (71.484)
Test: [10/143]	Time 0.055 (0.236)	Loss 2.1977 (2.4056)	Prec@1 46.094 (40.305)	Prec@5 76.953 (72.727)
Test: [20/143]	Time 0.540 (0.217)	Loss 2.6534 (2.3917)	Prec@1 33.984 (39.732)	Prec@5 67.578 (72.805)
Test: [30/143]	Time 0.059 (0.196)	Loss 2.7239 (2.4346)	Prec@1 37.891 (39.491)	Prec@5 62.109 (71.724)
Test: [40/143]	Time 0.312 (0.196)	Loss 3.1888 (2.4761)	Prec@1 17.578 (38.815)	Prec@5 57.422 (70.751)
Test: [50/143]	Time 0.057 (0.189)	Loss 2.2816 (2.5095)	Prec@1 36.328 (37.883)	Prec@5 74.609 (69.991)
Test: [60/143]	Time 0.102 (0.188)	Loss 2.7967 (2.4990)	Prec@1 24.609 (38.249)	Prec@5 67.578 (70.191)
Test: [70/143]	Time 0.164 (0.186)	Loss 3.1879 (2.4880)	Prec@1 26.953 (38.798)	Prec@5 50.391 (70.252)
Test: [80/143]	Time 0.061 (0.184)	Loss 2.4186 (2.4837)	Prec@1 41.406 (38.792)	Prec@5 73.828 (70.332)
Test: [90/143]	Time 0.108 (0.182)	Loss 2.0862 (2.4697)	Prec@1 48.047 (38.912)	Prec@5 80.859 (70.544)
Test: [100/143]	Time 0.117 (0.181)	Loss 2.4782 (2.4773)	Prec@1 36.719 (38.683)	Prec@5 75.391 (70.525)
Test: [110/143]	Time 0.068 (0.180)	Loss 2.2110 (2.4695)	Prec@1 43.750 (38.929)	Prec@5 73.828 (70.749)
Test: [120/143]	Time 0.191 (0.180)	Loss 1.8622 (2.4555)	Prec@1 57.812 (39.350)	Prec@5 82.812 (70.971)
Test: [130/143]	Time 0.048 (0.179)	Loss 2.0814 (2.4612)	Prec@1 53.125 (39.352)	Prec@5 71.094 (70.724)
Test: [140/143]	Time 0.349 (0.179)	Loss 3.3853 (2.4833)	Prec@1 19.531 (38.794)	Prec@5 51.562 (70.229)
 * Prec@1 38.888 Prec@5 70.260
Epoch: [53][0/7045]	Time 2.559 (2.559)	Data 2.501 (2.501)	Loss 3.0878 (3.0878)	Prec@1 27.734 (27.734)	Prec@5 58.984 (58.984)
Epoch: [53][10/7045]	Time 0.132 (0.411)	Data 0.082 (0.338)	Loss 3.0285 (2.9923)	Prec@1 28.516 (30.717)	Prec@5 55.859 (59.339)
Epoch: [53][20/7045]	Time 0.405 (0.347)	Data 0.354 (0.285)	Loss 3.1208 (3.0034)	Prec@1 28.906 (30.525)	Prec@5 58.594 (59.189)
Epoch: [53][30/7045]	Time 0.100 (0.313)	Data 0.048 (0.254)	Loss 3.3541 (3.0011)	Prec@1 25.000 (30.040)	Prec@5 51.562 (59.425)
Epoch: [53][40/7045]	Time 0.273 (0.303)	Data 0.222 (0.244)	Loss 3.0641 (3.0136)	Prec@1 26.562 (30.069)	Prec@5 57.031 (59.223)
Epoch: [53][50/7045]	Time 0.108 (0.298)	Data 0.001 (0.237)	Loss 2.9276 (3.0051)	Prec@1 28.516 (30.025)	Prec@5 57.422 (59.352)
Epoch: [53][60/7045]	Time 0.112 (0.286)	Data 0.060 (0.226)	Loss 3.0346 (3.0120)	Prec@1 25.391 (30.014)	Prec@5 58.203 (59.055)
Epoch: [53][70/7045]	Time 0.304 (0.284)	Data 0.253 (0.224)	Loss 2.9310 (3.0064)	Prec@1 31.641 (30.309)	Prec@5 58.594 (59.149)
Epoch: [53][80/7045]	Time 0.252 (0.279)	Data 0.201 (0.220)	Loss 3.1329 (3.0035)	Prec@1 31.641 (30.300)	Prec@5 53.906 (59.250)
Epoch: [53][90/7045]	Time 0.291 (0.276)	Data 0.240 (0.217)	Loss 2.9793 (3.0027)	Prec@1 26.953 (30.237)	Prec@5 58.594 (59.242)
Epoch: [53][100/7045]	Time 0.292 (0.273)	Data 0.240 (0.214)	Loss 2.9619 (3.0027)	Prec@1 32.031 (30.206)	Prec@5 60.156 (59.278)
Epoch: [53][110/7045]	Time 0.108 (0.271)	Data 0.004 (0.213)	Loss 3.1196 (3.0053)	Prec@1 28.906 (30.163)	Prec@5 53.906 (59.266)
Epoch: [53][120/7045]	Time 0.199 (0.268)	Data 0.148 (0.208)	Loss 3.1667 (3.0046)	Prec@1 28.516 (30.143)	Prec@5 58.594 (59.310)
Epoch: [53][130/7045]	Time 0.108 (0.267)	Data 0.056 (0.208)	Loss 3.0854 (3.0068)	Prec@1 28.906 (30.180)	Prec@5 57.031 (59.247)
Epoch: [53][140/7045]	Time 0.100 (0.264)	Data 0.001 (0.205)	Loss 3.0783 (3.0086)	Prec@1 26.562 (30.142)	Prec@5 56.641 (59.217)
Epoch: [53][150/7045]	Time 0.312 (0.265)	Data 0.261 (0.204)	Loss 2.9515 (3.0047)	Prec@1 31.641 (30.161)	Prec@5 55.859 (59.246)
Epoch: [53][160/7045]	Time 0.130 (0.262)	Data 0.078 (0.201)	Loss 3.2115 (3.0066)	Prec@1 30.469 (30.144)	Prec@5 53.906 (59.200)
Epoch: [53][170/7045]	Time 0.265 (0.263)	Data 0.213 (0.202)	Loss 3.0630 (3.0077)	Prec@1 32.422 (30.101)	Prec@5 57.812 (59.181)
Epoch: [53][180/7045]	Time 0.231 (0.262)	Data 0.179 (0.202)	Loss 3.0353 (3.0051)	Prec@1 27.734 (30.102)	Prec@5 60.156 (59.228)
Epoch: [53][190/7045]	Time 0.150 (0.260)	Data 0.099 (0.201)	Loss 2.8859 (3.0070)	Prec@1 32.812 (30.070)	Prec@5 61.719 (59.160)
Epoch: [53][200/7045]	Time 0.308 (0.261)	Data 0.257 (0.201)	Loss 2.7787 (3.0012)	Prec@1 34.375 (30.208)	Prec@5 62.500 (59.305)
Epoch: [53][210/7045]	Time 0.217 (0.259)	Data 0.166 (0.200)	Loss 2.9944 (3.0022)	Prec@1 27.344 (30.150)	Prec@5 60.156 (59.279)
Epoch: [53][220/7045]	Time 0.167 (0.259)	Data 0.114 (0.199)	Loss 2.9968 (3.0039)	Prec@1 27.344 (30.092)	Prec@5 60.547 (59.230)
Epoch: [53][230/7045]	Time 0.296 (0.259)	Data 0.245 (0.200)	Loss 3.0367 (3.0040)	Prec@1 28.125 (30.088)	Prec@5 59.766 (59.224)
Epoch: [53][240/7045]	Time 0.101 (0.258)	Data 0.006 (0.198)	Loss 2.8257 (3.0043)	Prec@1 34.766 (30.135)	Prec@5 60.547 (59.211)
Epoch: [53][250/7045]	Time 0.434 (0.258)	Data 0.382 (0.199)	Loss 3.0866 (3.0042)	Prec@1 30.078 (30.187)	Prec@5 55.469 (59.174)
Epoch: [53][260/7045]	Time 0.124 (0.257)	Data 0.071 (0.197)	Loss 3.0598 (3.0037)	Prec@1 30.469 (30.222)	Prec@5 58.203 (59.194)
Epoch: [53][270/7045]	Time 0.562 (0.257)	Data 0.505 (0.198)	Loss 3.1464 (3.0040)	Prec@1 25.391 (30.160)	Prec@5 58.594 (59.180)
Epoch: [53][280/7045]	Time 0.253 (0.256)	Data 0.203 (0.197)	Loss 3.0508 (3.0056)	Prec@1 32.031 (30.137)	Prec@5 57.031 (59.148)
Epoch: [53][290/7045]	Time 0.460 (0.256)	Data 0.410 (0.197)	Loss 3.0367 (3.0037)	Prec@1 26.172 (30.155)	Prec@5 58.594 (59.202)
Epoch: [53][300/7045]	Time 0.145 (0.255)	Data 0.094 (0.196)	Loss 2.9088 (3.0012)	Prec@1 32.031 (30.140)	Prec@5 58.203 (59.270)
Epoch: [53][310/7045]	Time 0.265 (0.256)	Data 0.214 (0.196)	Loss 3.0416 (2.9986)	Prec@1 32.422 (30.225)	Prec@5 56.641 (59.297)
Epoch: [53][320/7045]	Time 0.148 (0.255)	Data 0.097 (0.196)	Loss 3.3430 (2.9983)	Prec@1 25.000 (30.234)	Prec@5 51.953 (59.323)
Epoch: [53][330/7045]	Time 0.340 (0.255)	Data 0.289 (0.196)	Loss 3.0015 (2.9967)	Prec@1 28.125 (30.241)	Prec@5 57.812 (59.356)
Epoch: [53][340/7045]	Time 0.196 (0.254)	Data 0.145 (0.196)	Loss 2.9156 (2.9982)	Prec@1 30.469 (30.240)	Prec@5 61.719 (59.321)
Epoch: [53][350/7045]	Time 0.364 (0.254)	Data 0.312 (0.195)	Loss 2.7132 (2.9992)	Prec@1 35.156 (30.243)	Prec@5 67.578 (59.342)
Epoch: [53][360/7045]	Time 0.302 (0.254)	Data 0.249 (0.195)	Loss 2.9374 (2.9993)	Prec@1 30.859 (30.221)	Prec@5 59.375 (59.330)
Epoch: [53][370/7045]	Time 0.102 (0.254)	Data 0.001 (0.195)	Loss 2.9873 (2.9999)	Prec@1 32.812 (30.237)	Prec@5 57.812 (59.310)
Epoch: [53][380/7045]	Time 0.230 (0.253)	Data 0.178 (0.195)	Loss 2.7278 (2.9992)	Prec@1 35.156 (30.266)	Prec@5 68.359 (59.329)
Epoch: [53][390/7045]	Time 0.174 (0.253)	Data 0.122 (0.195)	Loss 2.9255 (2.9990)	Prec@1 35.547 (30.307)	Prec@5 61.719 (59.317)
Epoch: [53][400/7045]	Time 0.538 (0.254)	Data 0.488 (0.195)	Loss 2.9732 (2.9989)	Prec@1 29.297 (30.297)	Prec@5 56.250 (59.281)
Epoch: [53][410/7045]	Time 0.141 (0.253)	Data 0.089 (0.194)	Loss 3.3119 (2.9991)	Prec@1 26.562 (30.278)	Prec@5 53.125 (59.274)
Epoch: [53][420/7045]	Time 0.596 (0.253)	Data 0.544 (0.195)	Loss 2.9012 (2.9992)	Prec@1 31.641 (30.283)	Prec@5 63.672 (59.296)
Epoch: [53][430/7045]	Time 0.101 (0.252)	Data 0.048 (0.194)	Loss 3.0556 (2.9992)	Prec@1 27.734 (30.311)	Prec@5 55.078 (59.296)
Epoch: [53][440/7045]	Time 0.455 (0.253)	Data 0.404 (0.194)	Loss 3.0433 (2.9983)	Prec@1 26.562 (30.301)	Prec@5 57.031 (59.311)
Epoch: [53][450/7045]	Time 0.102 (0.253)	Data 0.007 (0.194)	Loss 3.0819 (2.9987)	Prec@1 33.594 (30.289)	Prec@5 57.031 (59.308)
Epoch: [53][460/7045]	Time 0.392 (0.253)	Data 0.340 (0.195)	Loss 2.9180 (2.9987)	Prec@1 29.297 (30.273)	Prec@5 61.719 (59.302)
Epoch: [53][470/7045]	Time 0.102 (0.253)	Data 0.001 (0.194)	Loss 2.9050 (2.9979)	Prec@1 32.031 (30.292)	Prec@5 64.844 (59.342)
Epoch: [53][480/7045]	Time 0.482 (0.253)	Data 0.425 (0.194)	Loss 2.9337 (2.9965)	Prec@1 32.031 (30.297)	Prec@5 60.156 (59.372)
Epoch: [53][490/7045]	Time 0.241 (0.253)	Data 0.190 (0.194)	Loss 2.9911 (2.9981)	Prec@1 34.766 (30.291)	Prec@5 60.547 (59.324)
Epoch: [53][500/7045]	Time 0.409 (0.253)	Data 0.358 (0.194)	Loss 2.8227 (2.9996)	Prec@1 32.422 (30.244)	Prec@5 62.891 (59.288)
Epoch: [53][510/7045]	Time 0.277 (0.253)	Data 0.220 (0.194)	Loss 3.1221 (3.0012)	Prec@1 27.344 (30.203)	Prec@5 56.641 (59.245)
Epoch: [53][520/7045]	Time 0.297 (0.253)	Data 0.245 (0.194)	Loss 2.9840 (3.0016)	Prec@1 32.812 (30.197)	Prec@5 60.938 (59.243)
Epoch: [53][530/7045]	Time 0.107 (0.253)	Data 0.008 (0.194)	Loss 3.0165 (3.0020)	Prec@1 26.562 (30.172)	Prec@5 58.984 (59.226)
Epoch: [53][540/7045]	Time 0.131 (0.253)	Data 0.081 (0.194)	Loss 2.8381 (3.0020)	Prec@1 29.688 (30.161)	Prec@5 61.328 (59.226)
Epoch: [53][550/7045]	Time 0.113 (0.253)	Data 0.061 (0.194)	Loss 3.1638 (3.0010)	Prec@1 28.906 (30.214)	Prec@5 57.812 (59.250)
Epoch: [53][560/7045]	Time 0.544 (0.253)	Data 0.487 (0.194)	Loss 3.1977 (3.0015)	Prec@1 26.562 (30.211)	Prec@5 58.203 (59.246)
Epoch: [53][570/7045]	Time 0.102 (0.253)	Data 0.001 (0.194)	Loss 2.9466 (3.0008)	Prec@1 30.078 (30.217)	Prec@5 62.500 (59.261)
Epoch: [53][580/7045]	Time 0.490 (0.253)	Data 0.440 (0.194)	Loss 2.8701 (3.0017)	Prec@1 31.641 (30.215)	Prec@5 58.203 (59.246)
Epoch: [53][590/7045]	Time 0.214 (0.253)	Data 0.163 (0.193)	Loss 3.2106 (3.0018)	Prec@1 27.734 (30.210)	Prec@5 55.859 (59.223)
Epoch: [53][600/7045]	Time 0.162 (0.253)	Data 0.112 (0.193)	Loss 3.0246 (3.0020)	Prec@1 25.781 (30.206)	Prec@5 57.812 (59.220)
Epoch: [53][610/7045]	Time 0.226 (0.253)	Data 0.175 (0.193)	Loss 3.0688 (3.0022)	Prec@1 26.953 (30.211)	Prec@5 57.812 (59.214)
Epoch: [53][620/7045]	Time 0.215 (0.253)	Data 0.165 (0.194)	Loss 2.7533 (3.0030)	Prec@1 34.766 (30.204)	Prec@5 63.281 (59.206)
Epoch: [53][630/7045]	Time 0.102 (0.252)	Data 0.003 (0.193)	Loss 3.0711 (3.0036)	Prec@1 28.125 (30.198)	Prec@5 55.859 (59.194)
Epoch: [53][640/7045]	Time 0.164 (0.253)	Data 0.112 (0.193)	Loss 3.2745 (3.0033)	Prec@1 23.828 (30.192)	Prec@5 50.391 (59.200)
Epoch: [53][650/7045]	Time 0.362 (0.253)	Data 0.310 (0.193)	Loss 3.0659 (3.0036)	Prec@1 30.078 (30.191)	Prec@5 56.641 (59.189)
Epoch: [53][660/7045]	Time 0.209 (0.252)	Data 0.157 (0.193)	Loss 3.0646 (3.0031)	Prec@1 26.953 (30.200)	Prec@5 59.375 (59.194)
Epoch: [53][670/7045]	Time 0.465 (0.252)	Data 0.413 (0.193)	Loss 3.0729 (3.0036)	Prec@1 32.031 (30.213)	Prec@5 61.719 (59.189)
Epoch: [53][680/7045]	Time 0.103 (0.252)	Data 0.005 (0.193)	Loss 3.3448 (3.0041)	Prec@1 19.531 (30.181)	Prec@5 55.469 (59.194)
Epoch: [53][690/7045]	Time 0.433 (0.252)	Data 0.381 (0.193)	Loss 3.0811 (3.0053)	Prec@1 28.516 (30.144)	Prec@5 56.641 (59.179)
Epoch: [53][700/7045]	Time 0.118 (0.252)	Data 0.067 (0.192)	Loss 3.1098 (3.0052)	Prec@1 25.391 (30.142)	Prec@5 59.375 (59.171)
Epoch: [53][710/7045]	Time 0.574 (0.252)	Data 0.523 (0.192)	Loss 3.2105 (3.0062)	Prec@1 28.906 (30.129)	Prec@5 57.031 (59.155)
Epoch: [53][720/7045]	Time 0.115 (0.252)	Data 0.062 (0.192)	Loss 3.0279 (3.0061)	Prec@1 31.641 (30.130)	Prec@5 59.375 (59.167)
Epoch: [53][730/7045]	Time 0.507 (0.252)	Data 0.455 (0.192)	Loss 3.1612 (3.0066)	Prec@1 29.688 (30.129)	Prec@5 56.641 (59.171)
Epoch: [53][740/7045]	Time 0.137 (0.251)	Data 0.086 (0.192)	Loss 2.8603 (3.0062)	Prec@1 30.078 (30.119)	Prec@5 60.156 (59.178)
Epoch: [53][750/7045]	Time 0.220 (0.252)	Data 0.163 (0.192)	Loss 3.2456 (3.0056)	Prec@1 28.125 (30.132)	Prec@5 55.078 (59.189)
Epoch: [53][760/7045]	Time 0.103 (0.251)	Data 0.050 (0.191)	Loss 2.8462 (3.0057)	Prec@1 35.938 (30.140)	Prec@5 62.500 (59.184)
Epoch: [53][770/7045]	Time 0.110 (0.252)	Data 0.058 (0.192)	Loss 3.0775 (3.0056)	Prec@1 28.516 (30.157)	Prec@5 60.547 (59.183)
Epoch: [53][780/7045]	Time 0.102 (0.251)	Data 0.001 (0.191)	Loss 2.9515 (3.0051)	Prec@1 30.078 (30.184)	Prec@5 56.250 (59.185)
Epoch: [53][790/7045]	Time 0.210 (0.251)	Data 0.151 (0.191)	Loss 3.0895 (3.0048)	Prec@1 30.078 (30.196)	Prec@5 57.031 (59.204)
Epoch: [53][800/7045]	Time 0.180 (0.251)	Data 0.128 (0.191)	Loss 2.9825 (3.0049)	Prec@1 28.516 (30.187)	Prec@5 60.938 (59.211)
Epoch: [53][810/7045]	Time 0.195 (0.251)	Data 0.143 (0.191)	Loss 2.8923 (3.0044)	Prec@1 33.594 (30.211)	Prec@5 60.156 (59.218)
Epoch: [53][820/7045]	Time 0.169 (0.251)	Data 0.118 (0.191)	Loss 3.1018 (3.0043)	Prec@1 30.469 (30.214)	Prec@5 54.688 (59.208)
Epoch: [53][830/7045]	Time 0.273 (0.251)	Data 0.222 (0.191)	Loss 3.0216 (3.0042)	Prec@1 27.734 (30.201)	Prec@5 57.031 (59.208)
Epoch: [53][840/7045]	Time 0.146 (0.251)	Data 0.094 (0.191)	Loss 3.1205 (3.0046)	Prec@1 24.219 (30.204)	Prec@5 57.422 (59.199)
Epoch: [53][850/7045]	Time 0.136 (0.251)	Data 0.085 (0.191)	Loss 2.9660 (3.0045)	Prec@1 31.641 (30.220)	Prec@5 60.938 (59.199)
Epoch: [53][860/7045]	Time 0.200 (0.251)	Data 0.142 (0.191)	Loss 2.7920 (3.0043)	Prec@1 34.375 (30.219)	Prec@5 64.453 (59.197)
Epoch: [53][870/7045]	Time 0.106 (0.251)	Data 0.054 (0.190)	Loss 3.1494 (3.0045)	Prec@1 30.859 (30.228)	Prec@5 53.906 (59.199)
Epoch: [53][880/7045]	Time 0.276 (0.251)	Data 0.225 (0.191)	Loss 3.1409 (3.0048)	Prec@1 30.078 (30.218)	Prec@5 57.422 (59.191)
Epoch: [53][890/7045]	Time 0.208 (0.251)	Data 0.156 (0.191)	Loss 3.1198 (3.0047)	Prec@1 25.781 (30.221)	Prec@5 54.297 (59.185)
Epoch: [53][900/7045]	Time 0.258 (0.251)	Data 0.208 (0.191)	Loss 2.9333 (3.0039)	Prec@1 31.641 (30.232)	Prec@5 61.719 (59.204)
Epoch: [53][910/7045]	Time 0.521 (0.251)	Data 0.470 (0.191)	Loss 2.9547 (3.0039)	Prec@1 29.297 (30.240)	Prec@5 61.719 (59.195)
Epoch: [53][920/7045]	Time 0.326 (0.251)	Data 0.275 (0.191)	Loss 3.2288 (3.0043)	Prec@1 24.609 (30.231)	Prec@5 54.688 (59.199)
Epoch: [53][930/7045]	Time 0.264 (0.251)	Data 0.212 (0.191)	Loss 3.3247 (3.0049)	Prec@1 23.047 (30.216)	Prec@5 51.172 (59.199)
Epoch: [53][940/7045]	Time 0.103 (0.251)	Data 0.004 (0.191)	Loss 3.0796 (3.0053)	Prec@1 32.031 (30.202)	Prec@5 57.422 (59.194)
Epoch: [53][950/7045]	Time 0.113 (0.250)	Data 0.063 (0.191)	Loss 3.0863 (3.0056)	Prec@1 28.125 (30.193)	Prec@5 55.469 (59.182)
Epoch: [53][960/7045]	Time 0.141 (0.251)	Data 0.091 (0.191)	Loss 3.1436 (3.0050)	Prec@1 25.781 (30.194)	Prec@5 56.641 (59.199)
Epoch: [53][970/7045]	Time 0.102 (0.250)	Data 0.001 (0.190)	Loss 3.1739 (3.0051)	Prec@1 28.125 (30.200)	Prec@5 59.375 (59.201)
Epoch: [53][980/7045]	Time 0.292 (0.251)	Data 0.235 (0.190)	Loss 2.9870 (3.0048)	Prec@1 30.859 (30.201)	Prec@5 61.719 (59.204)
Epoch: [53][990/7045]	Time 0.102 (0.250)	Data 0.046 (0.190)	Loss 2.9619 (3.0048)	Prec@1 31.641 (30.216)	Prec@5 60.156 (59.215)
Epoch: [53][1000/7045]	Time 0.423 (0.251)	Data 0.371 (0.190)	Loss 3.1180 (3.0049)	Prec@1 28.516 (30.212)	Prec@5 56.250 (59.229)
Epoch: [53][1010/7045]	Time 0.252 (0.250)	Data 0.201 (0.190)	Loss 2.8851 (3.0050)	Prec@1 30.859 (30.208)	Prec@5 60.938 (59.229)
Epoch: [53][1020/7045]	Time 0.188 (0.250)	Data 0.136 (0.190)	Loss 3.0337 (3.0053)	Prec@1 28.906 (30.191)	Prec@5 59.375 (59.219)
Epoch: [53][1030/7045]	Time 0.525 (0.250)	Data 0.474 (0.190)	Loss 3.1540 (3.0051)	Prec@1 31.641 (30.208)	Prec@5 56.250 (59.219)
Epoch: [53][1040/7045]	Time 0.113 (0.250)	Data 0.001 (0.190)	Loss 3.1257 (3.0057)	Prec@1 28.906 (30.204)	Prec@5 52.734 (59.203)
Epoch: [53][1050/7045]	Time 0.756 (0.251)	Data 0.700 (0.190)	Loss 2.9691 (3.0053)	Prec@1 30.859 (30.220)	Prec@5 61.719 (59.214)
Epoch: [53][1060/7045]	Time 0.100 (0.250)	Data 0.001 (0.190)	Loss 2.9806 (3.0056)	Prec@1 29.688 (30.209)	Prec@5 58.594 (59.217)
Epoch: [53][1070/7045]	Time 0.614 (0.250)	Data 0.555 (0.190)	Loss 3.2313 (3.0054)	Prec@1 28.516 (30.206)	Prec@5 55.859 (59.224)
Epoch: [53][1080/7045]	Time 0.112 (0.250)	Data 0.060 (0.189)	Loss 3.0167 (3.0051)	Prec@1 29.297 (30.202)	Prec@5 59.766 (59.230)
Epoch: [53][1090/7045]	Time 0.589 (0.250)	Data 0.537 (0.189)	Loss 2.8730 (3.0051)	Prec@1 28.516 (30.193)	Prec@5 60.156 (59.231)
Epoch: [53][1100/7045]	Time 0.104 (0.250)	Data 0.051 (0.189)	Loss 2.8453 (3.0050)	Prec@1 27.734 (30.187)	Prec@5 62.109 (59.235)
Epoch: [53][1110/7045]	Time 0.347 (0.250)	Data 0.296 (0.189)	Loss 3.0457 (3.0050)	Prec@1 28.516 (30.190)	Prec@5 58.594 (59.245)
Epoch: [53][1120/7045]	Time 0.102 (0.250)	Data 0.009 (0.189)	Loss 3.0596 (3.0054)	Prec@1 29.688 (30.190)	Prec@5 57.422 (59.231)
Epoch: [53][1130/7045]	Time 0.235 (0.250)	Data 0.184 (0.189)	Loss 2.8811 (3.0053)	Prec@1 32.812 (30.200)	Prec@5 60.547 (59.224)
Epoch: [53][1140/7045]	Time 0.255 (0.250)	Data 0.204 (0.189)	Loss 3.0886 (3.0055)	Prec@1 27.734 (30.190)	Prec@5 53.516 (59.218)
Epoch: [53][1150/7045]	Time 0.101 (0.250)	Data 0.050 (0.189)	Loss 2.8235 (3.0056)	Prec@1 33.203 (30.198)	Prec@5 64.453 (59.224)
Epoch: [53][1160/7045]	Time 0.329 (0.250)	Data 0.278 (0.189)	Loss 2.9330 (3.0054)	Prec@1 31.641 (30.199)	Prec@5 62.891 (59.237)
Epoch: [53][1170/7045]	Time 0.102 (0.250)	Data 0.001 (0.189)	Loss 3.0437 (3.0059)	Prec@1 25.000 (30.186)	Prec@5 58.984 (59.223)
Epoch: [53][1180/7045]	Time 0.521 (0.250)	Data 0.465 (0.189)	Loss 3.1574 (3.0062)	Prec@1 23.828 (30.178)	Prec@5 56.250 (59.215)
Epoch: [53][1190/7045]	Time 0.104 (0.250)	Data 0.052 (0.189)	Loss 3.1902 (3.0068)	Prec@1 25.781 (30.169)	Prec@5 53.906 (59.200)
Epoch: [53][1200/7045]	Time 0.380 (0.250)	Data 0.328 (0.189)	Loss 3.0652 (3.0068)	Prec@1 28.125 (30.175)	Prec@5 58.594 (59.205)
Epoch: [53][1210/7045]	Time 0.102 (0.250)	Data 0.001 (0.189)	Loss 3.0057 (3.0064)	Prec@1 31.250 (30.185)	Prec@5 56.250 (59.209)
Epoch: [53][1220/7045]	Time 0.140 (0.250)	Data 0.089 (0.189)	Loss 3.1143 (3.0073)	Prec@1 26.562 (30.172)	Prec@5 54.297 (59.188)
Epoch: [53][1230/7045]	Time 0.107 (0.250)	Data 0.047 (0.189)	Loss 3.0141 (3.0074)	Prec@1 27.344 (30.173)	Prec@5 58.594 (59.184)
Epoch: [53][1240/7045]	Time 0.102 (0.250)	Data 0.001 (0.189)	Loss 3.0124 (3.0075)	Prec@1 31.641 (30.175)	Prec@5 61.328 (59.181)
Epoch: [53][1250/7045]	Time 0.202 (0.250)	Data 0.151 (0.189)	Loss 2.7949 (3.0074)	Prec@1 35.547 (30.178)	Prec@5 63.281 (59.185)
Epoch: [53][1260/7045]	Time 0.235 (0.250)	Data 0.184 (0.189)	Loss 3.0673 (3.0077)	Prec@1 26.172 (30.175)	Prec@5 58.203 (59.177)
Epoch: [53][1270/7045]	Time 0.113 (0.250)	Data 0.060 (0.189)	Loss 3.0671 (3.0074)	Prec@1 27.734 (30.180)	Prec@5 57.812 (59.191)
Epoch: [53][1280/7045]	Time 0.148 (0.250)	Data 0.097 (0.189)	Loss 3.0363 (3.0068)	Prec@1 32.422 (30.193)	Prec@5 60.156 (59.207)
Epoch: [53][1290/7045]	Time 0.192 (0.250)	Data 0.141 (0.189)	Loss 2.9552 (3.0074)	Prec@1 34.375 (30.192)	Prec@5 58.203 (59.196)
Epoch: [53][1300/7045]	Time 0.209 (0.250)	Data 0.157 (0.189)	Loss 2.8927 (3.0074)	Prec@1 28.516 (30.180)	Prec@5 57.422 (59.188)
Epoch: [53][1310/7045]	Time 0.109 (0.250)	Data 0.057 (0.189)	Loss 2.9335 (3.0074)	Prec@1 32.422 (30.179)	Prec@5 59.766 (59.187)
Epoch: [53][1320/7045]	Time 0.366 (0.250)	Data 0.308 (0.189)	Loss 2.9756 (3.0074)	Prec@1 32.031 (30.177)	Prec@5 60.547 (59.186)
Epoch: [53][1330/7045]	Time 0.102 (0.250)	Data 0.001 (0.189)	Loss 3.0987 (3.0075)	Prec@1 29.688 (30.168)	Prec@5 61.719 (59.181)
Epoch: [53][1340/7045]	Time 0.361 (0.250)	Data 0.309 (0.189)	Loss 2.8436 (3.0073)	Prec@1 32.812 (30.168)	Prec@5 59.766 (59.184)
Epoch: [53][1350/7045]	Time 0.204 (0.250)	Data 0.153 (0.189)	Loss 2.8602 (3.0076)	Prec@1 35.547 (30.167)	Prec@5 60.938 (59.173)
Epoch: [53][1360/7045]	Time 0.415 (0.250)	Data 0.358 (0.189)	Loss 3.0303 (3.0077)	Prec@1 28.516 (30.166)	Prec@5 58.594 (59.172)
Epoch: [53][1370/7045]	Time 0.429 (0.250)	Data 0.378 (0.189)	Loss 3.2137 (3.0080)	Prec@1 26.953 (30.167)	Prec@5 55.469 (59.168)
Epoch: [53][1380/7045]	Time 0.118 (0.250)	Data 0.060 (0.189)	Loss 3.0047 (3.0082)	Prec@1 29.688 (30.168)	Prec@5 58.594 (59.159)
Epoch: [53][1390/7045]	Time 0.313 (0.250)	Data 0.262 (0.188)	Loss 3.0241 (3.0086)	Prec@1 28.906 (30.165)	Prec@5 57.812 (59.149)
Epoch: [53][1400/7045]	Time 0.102 (0.250)	Data 0.011 (0.188)	Loss 3.0077 (3.0083)	Prec@1 32.031 (30.174)	Prec@5 58.594 (59.159)
Epoch: [53][1410/7045]	Time 0.102 (0.250)	Data 0.004 (0.188)	Loss 3.1038 (3.0084)	Prec@1 33.984 (30.178)	Prec@5 56.250 (59.157)
Epoch: [53][1420/7045]	Time 0.239 (0.250)	Data 0.188 (0.188)	Loss 2.9109 (3.0081)	Prec@1 33.594 (30.188)	Prec@5 63.672 (59.168)
Epoch: [53][1430/7045]	Time 0.359 (0.250)	Data 0.308 (0.189)	Loss 3.0055 (3.0080)	Prec@1 27.734 (30.195)	Prec@5 61.719 (59.183)
Epoch: [53][1440/7045]	Time 0.102 (0.250)	Data 0.001 (0.188)	Loss 3.0312 (3.0079)	Prec@1 31.250 (30.196)	Prec@5 56.641 (59.184)
Epoch: [53][1450/7045]	Time 0.152 (0.250)	Data 0.101 (0.188)	Loss 2.9117 (3.0076)	Prec@1 30.469 (30.207)	Prec@5 64.062 (59.193)
Epoch: [53][1460/7045]	Time 0.432 (0.250)	Data 0.368 (0.189)	Loss 3.0787 (3.0078)	Prec@1 29.297 (30.206)	Prec@5 54.688 (59.192)
Epoch: [53][1470/7045]	Time 0.388 (0.250)	Data 0.335 (0.189)	Loss 3.0047 (3.0078)	Prec@1 28.125 (30.208)	Prec@5 61.328 (59.197)
Epoch: [53][1480/7045]	Time 0.293 (0.250)	Data 0.241 (0.189)	Loss 3.1082 (3.0082)	Prec@1 28.125 (30.198)	Prec@5 58.594 (59.193)
Epoch: [53][1490/7045]	Time 0.102 (0.250)	Data 0.001 (0.189)	Loss 3.0671 (3.0084)	Prec@1 28.516 (30.187)	Prec@5 54.688 (59.190)
Epoch: [53][1500/7045]	Time 0.101 (0.250)	Data 0.002 (0.189)	Loss 2.9714 (3.0085)	Prec@1 29.688 (30.184)	Prec@5 61.719 (59.189)
Epoch: [53][1510/7045]	Time 0.335 (0.250)	Data 0.284 (0.189)	Loss 3.0753 (3.0086)	Prec@1 31.641 (30.184)	Prec@5 58.203 (59.186)
Epoch: [53][1520/7045]	Time 0.101 (0.250)	Data 0.048 (0.189)	Loss 3.0290 (3.0088)	Prec@1 24.219 (30.176)	Prec@5 59.766 (59.190)
Epoch: [53][1530/7045]	Time 0.397 (0.250)	Data 0.345 (0.189)	Loss 3.1765 (3.0091)	Prec@1 23.438 (30.163)	Prec@5 56.641 (59.185)
Epoch: [53][1540/7045]	Time 0.245 (0.250)	Data 0.192 (0.189)	Loss 3.0220 (3.0093)	Prec@1 31.250 (30.164)	Prec@5 58.594 (59.178)
Epoch: [53][1550/7045]	Time 0.102 (0.250)	Data 0.049 (0.189)	Loss 2.9570 (3.0090)	Prec@1 31.641 (30.162)	Prec@5 57.812 (59.178)
Epoch: [53][1560/7045]	Time 0.444 (0.250)	Data 0.393 (0.189)	Loss 3.0222 (3.0086)	Prec@1 29.688 (30.172)	Prec@5 60.547 (59.187)
Epoch: [53][1570/7045]	Time 0.165 (0.250)	Data 0.114 (0.189)	Loss 3.0095 (3.0086)	Prec@1 30.469 (30.168)	Prec@5 59.375 (59.188)
Epoch: [53][1580/7045]	Time 0.542 (0.250)	Data 0.490 (0.189)	Loss 3.0046 (3.0087)	Prec@1 31.250 (30.167)	Prec@5 61.719 (59.183)
Epoch: [53][1590/7045]	Time 0.245 (0.250)	Data 0.194 (0.189)	Loss 3.1198 (3.0094)	Prec@1 31.641 (30.162)	Prec@5 58.984 (59.173)
Epoch: [53][1600/7045]	Time 0.388 (0.250)	Data 0.336 (0.189)	Loss 3.1457 (3.0092)	Prec@1 28.516 (30.164)	Prec@5 55.469 (59.184)
Epoch: [53][1610/7045]	Time 0.197 (0.249)	Data 0.145 (0.189)	Loss 2.9665 (3.0096)	Prec@1 32.812 (30.159)	Prec@5 60.938 (59.172)
Epoch: [53][1620/7045]	Time 0.288 (0.250)	Data 0.236 (0.189)	Loss 3.0072 (3.0100)	Prec@1 28.516 (30.150)	Prec@5 61.719 (59.168)
Epoch: [53][1630/7045]	Time 0.119 (0.249)	Data 0.068 (0.189)	Loss 3.2184 (3.0103)	Prec@1 27.734 (30.148)	Prec@5 55.078 (59.167)
Epoch: [53][1640/7045]	Time 0.393 (0.250)	Data 0.335 (0.189)	Loss 2.9700 (3.0103)	Prec@1 30.078 (30.150)	Prec@5 58.594 (59.162)
Epoch: [53][1650/7045]	Time 0.102 (0.249)	Data 0.006 (0.188)	Loss 2.7911 (3.0104)	Prec@1 31.250 (30.144)	Prec@5 63.672 (59.155)
Epoch: [53][1660/7045]	Time 0.349 (0.250)	Data 0.299 (0.189)	Loss 3.1066 (3.0101)	Prec@1 30.469 (30.148)	Prec@5 55.859 (59.166)
Epoch: [53][1670/7045]	Time 0.157 (0.249)	Data 0.105 (0.189)	Loss 2.8789 (3.0102)	Prec@1 31.641 (30.144)	Prec@5 60.156 (59.165)
Epoch: [53][1680/7045]	Time 0.232 (0.249)	Data 0.181 (0.188)	Loss 3.0013 (3.0104)	Prec@1 28.125 (30.142)	Prec@5 61.719 (59.165)
Epoch: [53][1690/7045]	Time 0.520 (0.250)	Data 0.467 (0.189)	Loss 2.8666 (3.0104)	Prec@1 34.375 (30.141)	Prec@5 64.062 (59.162)
Epoch: [53][1700/7045]	Time 0.210 (0.249)	Data 0.159 (0.188)	Loss 3.0007 (3.0104)	Prec@1 34.375 (30.144)	Prec@5 60.547 (59.166)
Epoch: [53][1710/7045]	Time 0.273 (0.249)	Data 0.223 (0.189)	Loss 2.8811 (3.0105)	Prec@1 32.031 (30.144)	Prec@5 57.812 (59.158)
Epoch: [53][1720/7045]	Time 0.123 (0.249)	Data 0.070 (0.189)	Loss 3.0528 (3.0108)	Prec@1 27.734 (30.139)	Prec@5 56.641 (59.146)
Epoch: [53][1730/7045]	Time 0.266 (0.249)	Data 0.216 (0.189)	Loss 3.1508 (3.0106)	Prec@1 31.250 (30.138)	Prec@5 53.516 (59.151)
Epoch: [53][1740/7045]	Time 0.103 (0.249)	Data 0.050 (0.189)	Loss 2.9938 (3.0105)	Prec@1 34.375 (30.139)	Prec@5 57.812 (59.151)
Epoch: [53][1750/7045]	Time 0.302 (0.249)	Data 0.250 (0.189)	Loss 2.9417 (3.0105)	Prec@1 34.375 (30.139)	Prec@5 60.938 (59.155)
Epoch: [53][1760/7045]	Time 0.235 (0.249)	Data 0.185 (0.189)	Loss 3.2280 (3.0104)	Prec@1 30.469 (30.142)	Prec@5 58.203 (59.158)
Epoch: [53][1770/7045]	Time 0.225 (0.249)	Data 0.173 (0.189)	Loss 2.9673 (3.0108)	Prec@1 29.688 (30.139)	Prec@5 60.156 (59.154)
Epoch: [53][1780/7045]	Time 0.404 (0.249)	Data 0.352 (0.189)	Loss 3.0037 (3.0111)	Prec@1 27.344 (30.127)	Prec@5 53.906 (59.146)
Epoch: [53][1790/7045]	Time 0.111 (0.249)	Data 0.059 (0.189)	Loss 2.9250 (3.0109)	Prec@1 29.297 (30.125)	Prec@5 57.812 (59.148)
Epoch: [53][1800/7045]	Time 0.378 (0.249)	Data 0.326 (0.189)	Loss 3.0948 (3.0107)	Prec@1 26.562 (30.132)	Prec@5 58.594 (59.156)
Epoch: [53][1810/7045]	Time 0.102 (0.249)	Data 0.001 (0.188)	Loss 3.0917 (3.0106)	Prec@1 29.297 (30.133)	Prec@5 59.766 (59.156)
Epoch: [53][1820/7045]	Time 0.453 (0.249)	Data 0.395 (0.189)	Loss 2.9262 (3.0106)	Prec@1 32.812 (30.136)	Prec@5 62.891 (59.158)
Epoch: [53][1830/7045]	Time 0.104 (0.249)	Data 0.052 (0.188)	Loss 2.9822 (3.0106)	Prec@1 30.859 (30.134)	Prec@5 58.594 (59.155)
Epoch: [53][1840/7045]	Time 0.421 (0.249)	Data 0.369 (0.188)	Loss 2.9167 (3.0107)	Prec@1 33.203 (30.134)	Prec@5 57.422 (59.155)
Epoch: [53][1850/7045]	Time 0.167 (0.249)	Data 0.116 (0.188)	Loss 3.1863 (3.0106)	Prec@1 28.906 (30.140)	Prec@5 55.859 (59.158)
Epoch: [53][1860/7045]	Time 0.334 (0.249)	Data 0.283 (0.188)	Loss 3.0266 (3.0104)	Prec@1 26.172 (30.140)	Prec@5 60.156 (59.165)
Epoch: [53][1870/7045]	Time 0.301 (0.249)	Data 0.250 (0.188)	Loss 2.9743 (3.0102)	Prec@1 28.125 (30.143)	Prec@5 58.203 (59.167)
Epoch: [53][1880/7045]	Time 0.476 (0.249)	Data 0.425 (0.189)	Loss 2.8077 (3.0101)	Prec@1 34.375 (30.145)	Prec@5 66.406 (59.166)
Epoch: [53][1890/7045]	Time 0.163 (0.249)	Data 0.107 (0.188)	Loss 3.0467 (3.0099)	Prec@1 26.953 (30.145)	Prec@5 55.078 (59.173)
Epoch: [53][1900/7045]	Time 0.653 (0.249)	Data 0.602 (0.189)	Loss 3.1294 (3.0102)	Prec@1 23.438 (30.138)	Prec@5 58.594 (59.170)
Epoch: [53][1910/7045]	Time 0.112 (0.249)	Data 0.061 (0.188)	Loss 3.1755 (3.0107)	Prec@1 31.250 (30.136)	Prec@5 54.688 (59.162)
Epoch: [53][1920/7045]	Time 0.550 (0.249)	Data 0.498 (0.188)	Loss 3.2844 (3.0108)	Prec@1 24.609 (30.135)	Prec@5 51.562 (59.163)
Epoch: [53][1930/7045]	Time 0.108 (0.249)	Data 0.005 (0.188)	Loss 3.0075 (3.0110)	Prec@1 29.688 (30.128)	Prec@5 55.469 (59.157)
Epoch: [53][1940/7045]	Time 0.543 (0.249)	Data 0.492 (0.188)	Loss 3.0150 (3.0109)	Prec@1 32.031 (30.128)	Prec@5 61.328 (59.157)
Epoch: [53][1950/7045]	Time 0.101 (0.249)	Data 0.001 (0.188)	Loss 3.0987 (3.0109)	Prec@1 32.031 (30.132)	Prec@5 59.766 (59.157)
Epoch: [53][1960/7045]	Time 0.335 (0.249)	Data 0.284 (0.188)	Loss 3.0416 (3.0106)	Prec@1 29.297 (30.141)	Prec@5 58.203 (59.163)
Epoch: [53][1970/7045]	Time 0.195 (0.249)	Data 0.144 (0.188)	Loss 3.2240 (3.0109)	Prec@1 25.391 (30.138)	Prec@5 55.469 (59.163)
Epoch: [53][1980/7045]	Time 0.166 (0.249)	Data 0.107 (0.188)	Loss 2.9507 (3.0105)	Prec@1 33.203 (30.147)	Prec@5 60.156 (59.173)
Epoch: [53][1990/7045]	Time 0.103 (0.249)	Data 0.001 (0.188)	Loss 2.9374 (3.0102)	Prec@1 32.031 (30.155)	Prec@5 60.547 (59.180)
Epoch: [53][2000/7045]	Time 0.108 (0.249)	Data 0.002 (0.188)	Loss 3.0381 (3.0101)	Prec@1 30.469 (30.152)	Prec@5 57.812 (59.186)
Epoch: [53][2010/7045]	Time 0.101 (0.249)	Data 0.007 (0.188)	Loss 3.0123 (3.0098)	Prec@1 30.469 (30.159)	Prec@5 60.938 (59.192)
Epoch: [53][2020/7045]	Time 0.110 (0.249)	Data 0.059 (0.188)	Loss 3.1226 (3.0097)	Prec@1 29.688 (30.159)	Prec@5 54.688 (59.192)
Epoch: [53][2030/7045]	Time 0.177 (0.249)	Data 0.126 (0.188)	Loss 2.9752 (3.0099)	Prec@1 35.156 (30.159)	Prec@5 62.109 (59.189)
Epoch: [53][2040/7045]	Time 0.101 (0.249)	Data 0.003 (0.188)	Loss 3.1601 (3.0101)	Prec@1 26.953 (30.151)	Prec@5 56.250 (59.186)
Epoch: [53][2050/7045]	Time 0.326 (0.249)	Data 0.273 (0.188)	Loss 3.0153 (3.0100)	Prec@1 28.125 (30.146)	Prec@5 59.766 (59.189)
Epoch: [53][2060/7045]	Time 0.108 (0.249)	Data 0.007 (0.188)	Loss 3.1646 (3.0102)	Prec@1 24.609 (30.135)	Prec@5 54.297 (59.184)
Epoch: [53][2070/7045]	Time 0.331 (0.249)	Data 0.281 (0.188)	Loss 2.9772 (3.0104)	Prec@1 29.688 (30.129)	Prec@5 59.766 (59.181)
Epoch: [53][2080/7045]	Time 0.102 (0.249)	Data 0.006 (0.188)	Loss 3.1823 (3.0104)	Prec@1 23.438 (30.129)	Prec@5 52.734 (59.176)
Epoch: [53][2090/7045]	Time 0.354 (0.249)	Data 0.302 (0.188)	Loss 3.1767 (3.0104)	Prec@1 27.344 (30.130)	Prec@5 55.859 (59.179)
Epoch: [53][2100/7045]	Time 0.108 (0.249)	Data 0.001 (0.188)	Loss 3.0588 (3.0101)	Prec@1 28.125 (30.132)	Prec@5 53.906 (59.186)
Epoch: [53][2110/7045]	Time 0.191 (0.249)	Data 0.140 (0.188)	Loss 3.0789 (3.0102)	Prec@1 27.734 (30.131)	Prec@5 57.422 (59.184)
Epoch: [53][2120/7045]	Time 0.101 (0.248)	Data 0.001 (0.188)	Loss 3.1517 (3.0102)	Prec@1 28.906 (30.129)	Prec@5 59.375 (59.192)
Epoch: [53][2130/7045]	Time 0.103 (0.248)	Data 0.050 (0.188)	Loss 3.1327 (3.0106)	Prec@1 26.172 (30.120)	Prec@5 58.203 (59.184)
Epoch: [53][2140/7045]	Time 0.183 (0.248)	Data 0.132 (0.188)	Loss 2.8963 (3.0109)	Prec@1 31.641 (30.113)	Prec@5 60.938 (59.181)
Epoch: [53][2150/7045]	Time 0.201 (0.248)	Data 0.150 (0.188)	Loss 3.0436 (3.0110)	Prec@1 28.125 (30.113)	Prec@5 59.375 (59.178)
Epoch: [53][2160/7045]	Time 0.376 (0.249)	Data 0.325 (0.188)	Loss 3.0609 (3.0110)	Prec@1 30.078 (30.120)	Prec@5 58.984 (59.180)
Epoch: [53][2170/7045]	Time 0.223 (0.248)	Data 0.170 (0.188)	Loss 2.9805 (3.0113)	Prec@1 30.859 (30.116)	Prec@5 58.203 (59.177)
Epoch: [53][2180/7045]	Time 0.458 (0.249)	Data 0.407 (0.188)	Loss 3.2874 (3.0116)	Prec@1 24.609 (30.113)	Prec@5 53.516 (59.175)
Epoch: [53][2190/7045]	Time 0.104 (0.248)	Data 0.051 (0.188)	Loss 3.0435 (3.0114)	Prec@1 29.297 (30.118)	Prec@5 56.250 (59.177)
Epoch: [53][2200/7045]	Time 0.478 (0.249)	Data 0.426 (0.188)	Loss 2.9284 (3.0115)	Prec@1 31.641 (30.115)	Prec@5 61.719 (59.178)
Epoch: [53][2210/7045]	Time 0.139 (0.248)	Data 0.089 (0.188)	Loss 3.1805 (3.0114)	Prec@1 26.172 (30.116)	Prec@5 58.203 (59.180)
Epoch: [53][2220/7045]	Time 0.370 (0.248)	Data 0.319 (0.188)	Loss 2.9537 (3.0118)	Prec@1 31.250 (30.112)	Prec@5 58.203 (59.170)
Epoch: [53][2230/7045]	Time 0.461 (0.248)	Data 0.409 (0.188)	Loss 3.1319 (3.0116)	Prec@1 26.953 (30.115)	Prec@5 58.984 (59.176)
Epoch: [53][2240/7045]	Time 0.218 (0.248)	Data 0.167 (0.188)	Loss 2.9459 (3.0116)	Prec@1 32.812 (30.115)	Prec@5 63.281 (59.180)
Epoch: [53][2250/7045]	Time 0.474 (0.248)	Data 0.423 (0.188)	Loss 3.0674 (3.0115)	Prec@1 28.516 (30.117)	Prec@5 60.156 (59.183)
Epoch: [53][2260/7045]	Time 0.106 (0.248)	Data 0.005 (0.188)	Loss 2.8886 (3.0116)	Prec@1 35.547 (30.119)	Prec@5 58.984 (59.178)
Epoch: [53][2270/7045]	Time 0.679 (0.249)	Data 0.620 (0.188)	Loss 2.8823 (3.0116)	Prec@1 31.250 (30.118)	Prec@5 60.547 (59.177)
Epoch: [53][2280/7045]	Time 0.101 (0.248)	Data 0.001 (0.188)	Loss 3.2415 (3.0119)	Prec@1 23.047 (30.108)	Prec@5 53.516 (59.170)
Epoch: [53][2290/7045]	Time 0.692 (0.249)	Data 0.641 (0.188)	Loss 2.9602 (3.0117)	Prec@1 28.516 (30.112)	Prec@5 62.891 (59.173)
Epoch: [53][2300/7045]	Time 0.126 (0.248)	Data 0.068 (0.187)	Loss 3.0742 (3.0120)	Prec@1 26.562 (30.106)	Prec@5 55.859 (59.168)
Epoch: [53][2310/7045]	Time 0.525 (0.248)	Data 0.468 (0.187)	Loss 3.1643 (3.0123)	Prec@1 24.609 (30.100)	Prec@5 58.984 (59.164)
Epoch: [53][2320/7045]	Time 0.109 (0.248)	Data 0.057 (0.187)	Loss 2.8149 (3.0123)	Prec@1 34.375 (30.097)	Prec@5 59.766 (59.158)
Epoch: [53][2330/7045]	Time 0.314 (0.248)	Data 0.262 (0.187)	Loss 2.9311 (3.0122)	Prec@1 32.422 (30.096)	Prec@5 60.156 (59.165)
Epoch: [53][2340/7045]	Time 0.101 (0.248)	Data 0.003 (0.187)	Loss 3.0399 (3.0121)	Prec@1 28.125 (30.091)	Prec@5 61.328 (59.168)
Epoch: [53][2350/7045]	Time 0.103 (0.248)	Data 0.006 (0.187)	Loss 3.0625 (3.0121)	Prec@1 30.859 (30.092)	Prec@5 59.375 (59.171)
Epoch: [53][2360/7045]	Time 0.102 (0.248)	Data 0.007 (0.187)	Loss 3.0239 (3.0122)	Prec@1 28.516 (30.091)	Prec@5 60.938 (59.175)
Epoch: [53][2370/7045]	Time 0.202 (0.248)	Data 0.151 (0.187)	Loss 2.9538 (3.0122)	Prec@1 28.125 (30.092)	Prec@5 59.766 (59.175)
Epoch: [53][2380/7045]	Time 0.214 (0.248)	Data 0.163 (0.187)	Loss 3.1705 (3.0123)	Prec@1 27.344 (30.094)	Prec@5 57.422 (59.172)
Epoch: [53][2390/7045]	Time 0.184 (0.248)	Data 0.125 (0.187)	Loss 3.1560 (3.0123)	Prec@1 27.344 (30.092)	Prec@5 56.641 (59.172)
Epoch: [53][2400/7045]	Time 0.106 (0.248)	Data 0.055 (0.187)	Loss 3.1774 (3.0123)	Prec@1 27.734 (30.087)	Prec@5 55.469 (59.169)
Epoch: [53][2410/7045]	Time 0.102 (0.248)	Data 0.001 (0.187)	Loss 3.1145 (3.0124)	Prec@1 27.734 (30.082)	Prec@5 55.859 (59.166)
Epoch: [53][2420/7045]	Time 0.102 (0.248)	Data 0.006 (0.187)	Loss 2.8542 (3.0122)	Prec@1 32.812 (30.081)	Prec@5 62.500 (59.172)
Epoch: [53][2430/7045]	Time 0.165 (0.248)	Data 0.113 (0.187)	Loss 3.0218 (3.0121)	Prec@1 30.078 (30.081)	Prec@5 56.641 (59.175)
Epoch: [53][2440/7045]	Time 0.103 (0.248)	Data 0.052 (0.187)	Loss 3.0710 (3.0121)	Prec@1 30.469 (30.081)	Prec@5 59.375 (59.174)
Epoch: [53][2450/7045]	Time 0.390 (0.248)	Data 0.338 (0.187)	Loss 3.1454 (3.0121)	Prec@1 32.812 (30.081)	Prec@5 57.031 (59.170)
Epoch: [53][2460/7045]	Time 0.347 (0.248)	Data 0.296 (0.187)	Loss 2.9479 (3.0118)	Prec@1 30.859 (30.087)	Prec@5 61.328 (59.179)
Epoch: [53][2470/7045]	Time 0.289 (0.248)	Data 0.238 (0.187)	Loss 2.9609 (3.0119)	Prec@1 32.031 (30.084)	Prec@5 59.766 (59.174)
Epoch: [53][2480/7045]	Time 0.180 (0.248)	Data 0.122 (0.187)	Loss 3.2300 (3.0120)	Prec@1 28.125 (30.083)	Prec@5 55.469 (59.172)
Epoch: [53][2490/7045]	Time 0.175 (0.248)	Data 0.124 (0.187)	Loss 2.9980 (3.0120)	Prec@1 30.078 (30.086)	Prec@5 57.812 (59.166)
Epoch: [53][2500/7045]	Time 0.102 (0.248)	Data 0.001 (0.187)	Loss 2.9945 (3.0120)	Prec@1 30.469 (30.085)	Prec@5 60.547 (59.166)
Epoch: [53][2510/7045]	Time 0.391 (0.248)	Data 0.340 (0.187)	Loss 3.0386 (3.0118)	Prec@1 28.906 (30.087)	Prec@5 58.594 (59.167)
Epoch: [53][2520/7045]	Time 0.167 (0.248)	Data 0.114 (0.187)	Loss 3.1110 (3.0118)	Prec@1 29.297 (30.084)	Prec@5 57.031 (59.167)
Epoch: [53][2530/7045]	Time 0.539 (0.249)	Data 0.487 (0.187)	Loss 3.0230 (3.0118)	Prec@1 30.078 (30.082)	Prec@5 58.594 (59.167)
Epoch: [53][2540/7045]	Time 0.102 (0.248)	Data 0.004 (0.187)	Loss 3.1084 (3.0116)	Prec@1 31.250 (30.085)	Prec@5 60.156 (59.173)
Epoch: [53][2550/7045]	Time 0.120 (0.248)	Data 0.069 (0.187)	Loss 3.1660 (3.0117)	Prec@1 31.250 (30.087)	Prec@5 57.812 (59.170)
Epoch: [53][2560/7045]	Time 0.227 (0.248)	Data 0.175 (0.187)	Loss 3.0858 (3.0119)	Prec@1 28.125 (30.082)	Prec@5 54.688 (59.161)
Epoch: [53][2570/7045]	Time 0.301 (0.248)	Data 0.249 (0.187)	Loss 3.0485 (3.0116)	Prec@1 25.781 (30.083)	Prec@5 55.859 (59.167)
Epoch: [53][2580/7045]	Time 0.427 (0.249)	Data 0.376 (0.187)	Loss 3.1301 (3.0117)	Prec@1 29.688 (30.079)	Prec@5 58.203 (59.164)
Epoch: [53][2590/7045]	Time 0.109 (0.248)	Data 0.058 (0.187)	Loss 3.0133 (3.0117)	Prec@1 31.641 (30.080)	Prec@5 62.109 (59.167)
Epoch: [53][2600/7045]	Time 0.531 (0.249)	Data 0.479 (0.187)	Loss 2.9651 (3.0117)	Prec@1 30.078 (30.079)	Prec@5 58.984 (59.168)
Epoch: [53][2610/7045]	Time 0.101 (0.248)	Data 0.001 (0.187)	Loss 3.1793 (3.0118)	Prec@1 26.562 (30.080)	Prec@5 53.125 (59.161)
Epoch: [53][2620/7045]	Time 0.109 (0.249)	Data 0.058 (0.187)	Loss 3.0607 (3.0119)	Prec@1 27.344 (30.077)	Prec@5 59.766 (59.158)
Epoch: [53][2630/7045]	Time 0.161 (0.248)	Data 0.109 (0.187)	Loss 2.9736 (3.0120)	Prec@1 30.859 (30.078)	Prec@5 59.375 (59.154)
Epoch: [53][2640/7045]	Time 0.107 (0.249)	Data 0.001 (0.187)	Loss 3.1168 (3.0119)	Prec@1 28.516 (30.077)	Prec@5 60.156 (59.156)
Epoch: [53][2650/7045]	Time 0.264 (0.249)	Data 0.213 (0.187)	Loss 2.7968 (3.0115)	Prec@1 36.719 (30.081)	Prec@5 63.281 (59.165)
Epoch: [53][2660/7045]	Time 0.102 (0.248)	Data 0.051 (0.187)	Loss 2.9565 (3.0115)	Prec@1 31.250 (30.081)	Prec@5 58.984 (59.167)
Epoch: [53][2670/7045]	Time 0.097 (0.249)	Data 0.001 (0.187)	Loss 2.9926 (3.0116)	Prec@1 30.469 (30.081)	Prec@5 57.031 (59.161)
Epoch: [53][2680/7045]	Time 0.113 (0.249)	Data 0.062 (0.187)	Loss 3.2909 (3.0116)	Prec@1 30.469 (30.084)	Prec@5 53.125 (59.161)
Epoch: [53][2690/7045]	Time 0.345 (0.249)	Data 0.295 (0.187)	Loss 2.9089 (3.0116)	Prec@1 31.250 (30.088)	Prec@5 62.500 (59.166)
Epoch: [53][2700/7045]	Time 0.132 (0.249)	Data 0.081 (0.187)	Loss 2.8723 (3.0114)	Prec@1 28.906 (30.083)	Prec@5 60.938 (59.172)
Epoch: [53][2710/7045]	Time 0.505 (0.249)	Data 0.454 (0.187)	Loss 3.0759 (3.0116)	Prec@1 30.469 (30.081)	Prec@5 58.203 (59.169)
Epoch: [53][2720/7045]	Time 0.345 (0.249)	Data 0.294 (0.187)	Loss 3.0801 (3.0115)	Prec@1 29.688 (30.082)	Prec@5 54.688 (59.170)
Epoch: [53][2730/7045]	Time 0.340 (0.249)	Data 0.289 (0.187)	Loss 2.9595 (3.0115)	Prec@1 30.078 (30.083)	Prec@5 60.156 (59.174)
Epoch: [53][2740/7045]	Time 0.575 (0.249)	Data 0.525 (0.187)	Loss 2.9202 (3.0113)	Prec@1 30.859 (30.088)	Prec@5 57.031 (59.171)
Epoch: [53][2750/7045]	Time 0.101 (0.249)	Data 0.004 (0.187)	Loss 3.0248 (3.0116)	Prec@1 29.688 (30.081)	Prec@5 63.281 (59.170)
Epoch: [53][2760/7045]	Time 0.102 (0.249)	Data 0.049 (0.187)	Loss 3.0221 (3.0117)	Prec@1 30.469 (30.084)	Prec@5 57.422 (59.171)
Epoch: [53][2770/7045]	Time 0.249 (0.249)	Data 0.197 (0.187)	Loss 3.0176 (3.0117)	Prec@1 31.250 (30.087)	Prec@5 57.812 (59.171)
Epoch: [53][2780/7045]	Time 0.133 (0.249)	Data 0.083 (0.187)	Loss 2.9533 (3.0118)	Prec@1 32.031 (30.088)	Prec@5 58.984 (59.169)
Epoch: [53][2790/7045]	Time 0.427 (0.249)	Data 0.374 (0.188)	Loss 3.1362 (3.0119)	Prec@1 26.172 (30.088)	Prec@5 53.516 (59.166)
Epoch: [53][2800/7045]	Time 0.236 (0.249)	Data 0.186 (0.188)	Loss 2.8472 (3.0118)	Prec@1 31.250 (30.091)	Prec@5 63.281 (59.167)
Epoch: [53][2810/7045]	Time 0.462 (0.249)	Data 0.411 (0.188)	Loss 3.1525 (3.0117)	Prec@1 23.047 (30.090)	Prec@5 58.984 (59.170)
Epoch: [53][2820/7045]	Time 0.328 (0.249)	Data 0.276 (0.188)	Loss 2.9727 (3.0115)	Prec@1 28.906 (30.090)	Prec@5 60.547 (59.174)
Epoch: [53][2830/7045]	Time 0.583 (0.249)	Data 0.532 (0.188)	Loss 3.1818 (3.0115)	Prec@1 25.781 (30.089)	Prec@5 57.422 (59.171)
Epoch: [53][2840/7045]	Time 0.187 (0.249)	Data 0.136 (0.187)	Loss 3.3028 (3.0116)	Prec@1 26.562 (30.086)	Prec@5 52.734 (59.166)
Epoch: [53][2850/7045]	Time 0.577 (0.249)	Data 0.520 (0.188)	Loss 2.7291 (3.0116)	Prec@1 37.891 (30.088)	Prec@5 63.672 (59.166)
Epoch: [53][2860/7045]	Time 0.102 (0.249)	Data 0.002 (0.187)	Loss 3.3561 (3.0119)	Prec@1 24.219 (30.088)	Prec@5 54.297 (59.161)
Epoch: [53][2870/7045]	Time 0.324 (0.249)	Data 0.274 (0.188)	Loss 3.1646 (3.0119)	Prec@1 27.734 (30.088)	Prec@5 55.469 (59.163)
Epoch: [53][2880/7045]	Time 0.102 (0.249)	Data 0.001 (0.187)	Loss 2.9017 (3.0119)	Prec@1 32.812 (30.092)	Prec@5 60.938 (59.165)
Epoch: [53][2890/7045]	Time 0.107 (0.249)	Data 0.047 (0.187)	Loss 3.0230 (3.0118)	Prec@1 27.734 (30.089)	Prec@5 56.641 (59.161)
Epoch: [53][2900/7045]	Time 0.103 (0.249)	Data 0.001 (0.187)	Loss 3.0996 (3.0120)	Prec@1 26.953 (30.083)	Prec@5 58.203 (59.157)
Epoch: [53][2910/7045]	Time 0.104 (0.249)	Data 0.051 (0.187)	Loss 2.9571 (3.0120)	Prec@1 30.469 (30.086)	Prec@5 59.375 (59.153)
Epoch: [53][2920/7045]	Time 0.102 (0.249)	Data 0.001 (0.187)	Loss 2.8570 (3.0119)	Prec@1 32.422 (30.088)	Prec@5 62.109 (59.156)
Epoch: [53][2930/7045]	Time 0.107 (0.249)	Data 0.008 (0.187)	Loss 3.1547 (3.0119)	Prec@1 30.469 (30.087)	Prec@5 58.203 (59.154)
Epoch: [53][2940/7045]	Time 0.102 (0.249)	Data 0.003 (0.187)	Loss 2.8009 (3.0120)	Prec@1 34.766 (30.088)	Prec@5 62.500 (59.153)
Epoch: [53][2950/7045]	Time 0.107 (0.249)	Data 0.001 (0.187)	Loss 3.2786 (3.0120)	Prec@1 22.266 (30.083)	Prec@5 55.469 (59.154)
Epoch: [53][2960/7045]	Time 0.142 (0.249)	Data 0.091 (0.187)	Loss 2.9252 (3.0123)	Prec@1 31.641 (30.080)	Prec@5 59.375 (59.147)
Epoch: [53][2970/7045]	Time 0.102 (0.249)	Data 0.006 (0.187)	Loss 3.0566 (3.0123)	Prec@1 31.250 (30.080)	Prec@5 58.594 (59.149)
Epoch: [53][2980/7045]	Time 0.255 (0.249)	Data 0.203 (0.187)	Loss 2.9930 (3.0124)	Prec@1 32.812 (30.081)	Prec@5 61.328 (59.150)
Epoch: [53][2990/7045]	Time 0.105 (0.249)	Data 0.051 (0.187)	Loss 2.7990 (3.0124)	Prec@1 30.859 (30.079)	Prec@5 64.844 (59.150)
Epoch: [53][3000/7045]	Time 0.231 (0.249)	Data 0.180 (0.187)	Loss 3.0667 (3.0125)	Prec@1 30.469 (30.078)	Prec@5 55.859 (59.143)
Epoch: [53][3010/7045]	Time 0.163 (0.249)	Data 0.112 (0.187)	Loss 3.1398 (3.0129)	Prec@1 28.125 (30.071)	Prec@5 57.422 (59.135)
Epoch: [53][3020/7045]	Time 0.298 (0.248)	Data 0.247 (0.187)	Loss 3.0079 (3.0128)	Prec@1 30.859 (30.069)	Prec@5 61.328 (59.137)
Epoch: [53][3030/7045]	Time 0.136 (0.248)	Data 0.084 (0.187)	Loss 3.1366 (3.0128)	Prec@1 30.859 (30.071)	Prec@5 58.594 (59.138)
Epoch: [53][3040/7045]	Time 0.169 (0.248)	Data 0.119 (0.187)	Loss 2.9613 (3.0129)	Prec@1 31.641 (30.069)	Prec@5 60.156 (59.136)
Epoch: [53][3050/7045]	Time 0.101 (0.248)	Data 0.016 (0.187)	Loss 3.1131 (3.0131)	Prec@1 26.953 (30.064)	Prec@5 55.078 (59.130)
Epoch: [53][3060/7045]	Time 0.191 (0.248)	Data 0.139 (0.187)	Loss 2.8990 (3.0129)	Prec@1 32.422 (30.068)	Prec@5 64.453 (59.135)
Epoch: [53][3070/7045]	Time 0.103 (0.248)	Data 0.001 (0.187)	Loss 2.8624 (3.0131)	Prec@1 33.594 (30.065)	Prec@5 63.672 (59.133)
Epoch: [53][3080/7045]	Time 0.355 (0.248)	Data 0.303 (0.187)	Loss 2.9816 (3.0128)	Prec@1 30.859 (30.068)	Prec@5 59.375 (59.140)
Epoch: [53][3090/7045]	Time 0.102 (0.248)	Data 0.001 (0.187)	Loss 3.0941 (3.0129)	Prec@1 28.125 (30.066)	Prec@5 58.984 (59.135)
Epoch: [53][3100/7045]	Time 0.365 (0.248)	Data 0.314 (0.187)	Loss 3.1360 (3.0132)	Prec@1 28.516 (30.063)	Prec@5 57.422 (59.134)
Epoch: [53][3110/7045]	Time 0.102 (0.248)	Data 0.004 (0.186)	Loss 2.9357 (3.0132)	Prec@1 30.859 (30.061)	Prec@5 59.766 (59.130)
Epoch: [53][3120/7045]	Time 0.466 (0.248)	Data 0.407 (0.187)	Loss 3.1849 (3.0133)	Prec@1 27.734 (30.062)	Prec@5 57.031 (59.128)
Epoch: [53][3130/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 3.1134 (3.0134)	Prec@1 26.562 (30.063)	Prec@5 57.812 (59.126)
Epoch: [53][3140/7045]	Time 0.596 (0.248)	Data 0.543 (0.187)	Loss 2.9597 (3.0135)	Prec@1 30.469 (30.060)	Prec@5 59.375 (59.123)
Epoch: [53][3150/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 3.1352 (3.0136)	Prec@1 23.047 (30.057)	Prec@5 55.078 (59.124)
Epoch: [53][3160/7045]	Time 0.198 (0.248)	Data 0.147 (0.186)	Loss 2.9883 (3.0135)	Prec@1 29.297 (30.057)	Prec@5 58.594 (59.127)
Epoch: [53][3170/7045]	Time 0.623 (0.248)	Data 0.570 (0.187)	Loss 2.9627 (3.0133)	Prec@1 30.078 (30.062)	Prec@5 56.641 (59.134)
Epoch: [53][3180/7045]	Time 0.097 (0.248)	Data 0.001 (0.186)	Loss 2.9366 (3.0135)	Prec@1 33.984 (30.063)	Prec@5 62.109 (59.130)
Epoch: [53][3190/7045]	Time 0.594 (0.248)	Data 0.541 (0.186)	Loss 3.1164 (3.0133)	Prec@1 28.906 (30.066)	Prec@5 56.641 (59.133)
Epoch: [53][3200/7045]	Time 0.107 (0.248)	Data 0.014 (0.186)	Loss 2.8055 (3.0133)	Prec@1 36.328 (30.063)	Prec@5 66.406 (59.133)
Epoch: [53][3210/7045]	Time 0.621 (0.248)	Data 0.561 (0.186)	Loss 2.9792 (3.0132)	Prec@1 32.812 (30.068)	Prec@5 58.594 (59.130)
Epoch: [53][3220/7045]	Time 0.180 (0.248)	Data 0.128 (0.186)	Loss 3.0176 (3.0134)	Prec@1 31.250 (30.064)	Prec@5 60.547 (59.126)
Epoch: [53][3230/7045]	Time 0.453 (0.248)	Data 0.400 (0.186)	Loss 3.2449 (3.0135)	Prec@1 29.688 (30.063)	Prec@5 56.250 (59.125)
Epoch: [53][3240/7045]	Time 0.167 (0.248)	Data 0.116 (0.186)	Loss 3.1768 (3.0136)	Prec@1 27.344 (30.062)	Prec@5 55.078 (59.125)
Epoch: [53][3250/7045]	Time 0.642 (0.248)	Data 0.580 (0.186)	Loss 2.9699 (3.0135)	Prec@1 30.078 (30.065)	Prec@5 58.984 (59.126)
Epoch: [53][3260/7045]	Time 0.101 (0.248)	Data 0.005 (0.186)	Loss 3.1177 (3.0137)	Prec@1 28.906 (30.058)	Prec@5 57.422 (59.126)
Epoch: [53][3270/7045]	Time 0.532 (0.248)	Data 0.482 (0.186)	Loss 3.1316 (3.0138)	Prec@1 26.953 (30.061)	Prec@5 59.375 (59.123)
Epoch: [53][3280/7045]	Time 0.101 (0.248)	Data 0.001 (0.186)	Loss 3.0183 (3.0139)	Prec@1 29.688 (30.059)	Prec@5 57.422 (59.126)
Epoch: [53][3290/7045]	Time 0.526 (0.248)	Data 0.475 (0.186)	Loss 3.1426 (3.0139)	Prec@1 28.125 (30.058)	Prec@5 58.203 (59.128)
Epoch: [53][3300/7045]	Time 0.115 (0.248)	Data 0.064 (0.186)	Loss 2.9796 (3.0139)	Prec@1 29.297 (30.061)	Prec@5 59.766 (59.129)
Epoch: [53][3310/7045]	Time 0.389 (0.248)	Data 0.338 (0.186)	Loss 2.8846 (3.0137)	Prec@1 35.547 (30.064)	Prec@5 60.938 (59.134)
Epoch: [53][3320/7045]	Time 0.209 (0.248)	Data 0.154 (0.186)	Loss 3.0566 (3.0135)	Prec@1 30.859 (30.069)	Prec@5 55.859 (59.137)
Epoch: [53][3330/7045]	Time 0.244 (0.248)	Data 0.194 (0.186)	Loss 2.9359 (3.0135)	Prec@1 33.594 (30.067)	Prec@5 60.547 (59.136)
Epoch: [53][3340/7045]	Time 0.100 (0.248)	Data 0.006 (0.186)	Loss 3.0157 (3.0135)	Prec@1 31.250 (30.065)	Prec@5 61.719 (59.137)
Epoch: [53][3350/7045]	Time 0.138 (0.248)	Data 0.085 (0.186)	Loss 3.1459 (3.0134)	Prec@1 26.562 (30.068)	Prec@5 55.859 (59.139)
Epoch: [53][3360/7045]	Time 0.134 (0.248)	Data 0.083 (0.186)	Loss 2.9153 (3.0132)	Prec@1 27.344 (30.072)	Prec@5 63.672 (59.146)
Epoch: [53][3370/7045]	Time 0.101 (0.248)	Data 0.001 (0.186)	Loss 3.0583 (3.0134)	Prec@1 32.812 (30.066)	Prec@5 58.594 (59.143)
Epoch: [53][3380/7045]	Time 0.461 (0.248)	Data 0.409 (0.186)	Loss 3.0818 (3.0134)	Prec@1 26.953 (30.067)	Prec@5 58.594 (59.142)
Epoch: [53][3390/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 2.9832 (3.0134)	Prec@1 30.078 (30.066)	Prec@5 60.547 (59.142)
Epoch: [53][3400/7045]	Time 0.203 (0.248)	Data 0.144 (0.186)	Loss 2.9494 (3.0133)	Prec@1 30.469 (30.067)	Prec@5 57.812 (59.143)
Epoch: [53][3410/7045]	Time 0.269 (0.248)	Data 0.218 (0.186)	Loss 3.0510 (3.0134)	Prec@1 32.812 (30.066)	Prec@5 61.719 (59.142)
Epoch: [53][3420/7045]	Time 0.098 (0.248)	Data 0.001 (0.186)	Loss 2.9642 (3.0134)	Prec@1 32.812 (30.067)	Prec@5 60.156 (59.140)
Epoch: [53][3430/7045]	Time 0.356 (0.248)	Data 0.305 (0.186)	Loss 3.0137 (3.0134)	Prec@1 28.906 (30.069)	Prec@5 58.203 (59.142)
Epoch: [53][3440/7045]	Time 0.120 (0.248)	Data 0.067 (0.186)	Loss 2.7713 (3.0133)	Prec@1 33.984 (30.069)	Prec@5 66.016 (59.146)
Epoch: [53][3450/7045]	Time 0.482 (0.248)	Data 0.432 (0.186)	Loss 3.1237 (3.0134)	Prec@1 25.391 (30.065)	Prec@5 58.594 (59.148)
Epoch: [53][3460/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 3.0452 (3.0135)	Prec@1 31.250 (30.064)	Prec@5 58.984 (59.148)
Epoch: [53][3470/7045]	Time 0.610 (0.248)	Data 0.557 (0.186)	Loss 2.8262 (3.0133)	Prec@1 30.469 (30.064)	Prec@5 62.500 (59.151)
Epoch: [53][3480/7045]	Time 0.191 (0.248)	Data 0.133 (0.186)	Loss 3.0486 (3.0131)	Prec@1 28.125 (30.068)	Prec@5 58.984 (59.153)
Epoch: [53][3490/7045]	Time 0.483 (0.248)	Data 0.432 (0.186)	Loss 2.9241 (3.0133)	Prec@1 31.641 (30.065)	Prec@5 61.328 (59.151)
Epoch: [53][3500/7045]	Time 0.325 (0.248)	Data 0.268 (0.186)	Loss 2.9150 (3.0133)	Prec@1 30.859 (30.064)	Prec@5 60.547 (59.152)
Epoch: [53][3510/7045]	Time 0.331 (0.248)	Data 0.280 (0.186)	Loss 2.8721 (3.0130)	Prec@1 30.078 (30.066)	Prec@5 61.719 (59.157)
Epoch: [53][3520/7045]	Time 0.571 (0.248)	Data 0.519 (0.186)	Loss 2.9195 (3.0130)	Prec@1 32.422 (30.069)	Prec@5 60.156 (59.160)
Epoch: [53][3530/7045]	Time 0.106 (0.248)	Data 0.003 (0.186)	Loss 2.8568 (3.0131)	Prec@1 34.766 (30.067)	Prec@5 64.062 (59.157)
Epoch: [53][3540/7045]	Time 0.224 (0.248)	Data 0.173 (0.186)	Loss 3.2023 (3.0132)	Prec@1 25.391 (30.065)	Prec@5 53.906 (59.155)
Epoch: [53][3550/7045]	Time 0.101 (0.248)	Data 0.047 (0.186)	Loss 2.7459 (3.0130)	Prec@1 35.156 (30.067)	Prec@5 67.578 (59.159)
Epoch: [53][3560/7045]	Time 0.297 (0.248)	Data 0.244 (0.186)	Loss 3.1819 (3.0131)	Prec@1 26.562 (30.066)	Prec@5 54.297 (59.158)
Epoch: [53][3570/7045]	Time 0.103 (0.248)	Data 0.051 (0.186)	Loss 3.0351 (3.0130)	Prec@1 26.953 (30.069)	Prec@5 60.156 (59.160)
Epoch: [53][3580/7045]	Time 0.361 (0.248)	Data 0.311 (0.186)	Loss 3.0342 (3.0129)	Prec@1 30.859 (30.073)	Prec@5 55.859 (59.161)
Epoch: [53][3590/7045]	Time 0.102 (0.248)	Data 0.005 (0.186)	Loss 3.1699 (3.0129)	Prec@1 30.859 (30.074)	Prec@5 58.594 (59.163)
Epoch: [53][3600/7045]	Time 0.378 (0.248)	Data 0.326 (0.186)	Loss 2.8971 (3.0128)	Prec@1 29.297 (30.075)	Prec@5 62.891 (59.167)
Epoch: [53][3610/7045]	Time 0.103 (0.248)	Data 0.007 (0.186)	Loss 2.9796 (3.0127)	Prec@1 30.078 (30.077)	Prec@5 60.547 (59.168)
Epoch: [53][3620/7045]	Time 0.368 (0.248)	Data 0.316 (0.186)	Loss 2.7585 (3.0127)	Prec@1 32.031 (30.076)	Prec@5 66.016 (59.166)
Epoch: [53][3630/7045]	Time 0.102 (0.248)	Data 0.005 (0.186)	Loss 3.0723 (3.0128)	Prec@1 26.953 (30.076)	Prec@5 54.688 (59.165)
Epoch: [53][3640/7045]	Time 0.272 (0.248)	Data 0.220 (0.186)	Loss 3.0561 (3.0127)	Prec@1 33.203 (30.077)	Prec@5 56.641 (59.166)
Epoch: [53][3650/7045]	Time 0.135 (0.248)	Data 0.083 (0.186)	Loss 2.8586 (3.0127)	Prec@1 31.641 (30.075)	Prec@5 61.719 (59.166)
Epoch: [53][3660/7045]	Time 0.220 (0.248)	Data 0.169 (0.186)	Loss 3.0594 (3.0128)	Prec@1 27.734 (30.074)	Prec@5 56.250 (59.162)
Epoch: [53][3670/7045]	Time 0.279 (0.248)	Data 0.221 (0.186)	Loss 2.9730 (3.0130)	Prec@1 32.422 (30.072)	Prec@5 59.375 (59.158)
Epoch: [53][3680/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 3.0288 (3.0129)	Prec@1 30.859 (30.075)	Prec@5 57.812 (59.157)
Epoch: [53][3690/7045]	Time 0.265 (0.248)	Data 0.215 (0.186)	Loss 3.0639 (3.0130)	Prec@1 28.906 (30.074)	Prec@5 54.297 (59.156)
Epoch: [53][3700/7045]	Time 0.124 (0.248)	Data 0.072 (0.186)	Loss 3.0369 (3.0131)	Prec@1 27.734 (30.071)	Prec@5 58.594 (59.154)
Epoch: [53][3710/7045]	Time 0.346 (0.248)	Data 0.294 (0.186)	Loss 2.9883 (3.0132)	Prec@1 29.688 (30.069)	Prec@5 56.250 (59.151)
Epoch: [53][3720/7045]	Time 0.101 (0.248)	Data 0.001 (0.186)	Loss 2.9355 (3.0131)	Prec@1 33.203 (30.073)	Prec@5 62.500 (59.153)
Epoch: [53][3730/7045]	Time 0.260 (0.248)	Data 0.208 (0.186)	Loss 2.9078 (3.0130)	Prec@1 29.688 (30.076)	Prec@5 61.719 (59.155)
Epoch: [53][3740/7045]	Time 0.135 (0.248)	Data 0.083 (0.186)	Loss 2.9704 (3.0130)	Prec@1 30.078 (30.078)	Prec@5 60.547 (59.157)
Epoch: [53][3750/7045]	Time 0.298 (0.248)	Data 0.244 (0.186)	Loss 3.1726 (3.0131)	Prec@1 32.812 (30.080)	Prec@5 55.469 (59.157)
Epoch: [53][3760/7045]	Time 0.357 (0.248)	Data 0.306 (0.186)	Loss 2.9937 (3.0131)	Prec@1 30.078 (30.079)	Prec@5 60.547 (59.159)
Epoch: [53][3770/7045]	Time 0.300 (0.248)	Data 0.249 (0.186)	Loss 3.0260 (3.0129)	Prec@1 27.344 (30.079)	Prec@5 58.203 (59.162)
Epoch: [53][3780/7045]	Time 0.386 (0.248)	Data 0.335 (0.186)	Loss 3.0278 (3.0127)	Prec@1 28.125 (30.084)	Prec@5 58.984 (59.164)
Epoch: [53][3790/7045]	Time 0.247 (0.248)	Data 0.188 (0.186)	Loss 3.0397 (3.0127)	Prec@1 30.859 (30.087)	Prec@5 60.156 (59.165)
Epoch: [53][3800/7045]	Time 0.355 (0.248)	Data 0.304 (0.186)	Loss 3.0403 (3.0128)	Prec@1 29.297 (30.086)	Prec@5 59.375 (59.163)
Epoch: [53][3810/7045]	Time 0.223 (0.248)	Data 0.171 (0.186)	Loss 3.1002 (3.0128)	Prec@1 33.203 (30.084)	Prec@5 56.250 (59.164)
Epoch: [53][3820/7045]	Time 0.102 (0.248)	Data 0.005 (0.186)	Loss 3.2557 (3.0130)	Prec@1 28.516 (30.080)	Prec@5 55.469 (59.158)
Epoch: [53][3830/7045]	Time 0.125 (0.248)	Data 0.074 (0.186)	Loss 2.9263 (3.0130)	Prec@1 31.250 (30.079)	Prec@5 60.938 (59.158)
Epoch: [53][3840/7045]	Time 0.459 (0.248)	Data 0.409 (0.186)	Loss 3.0206 (3.0131)	Prec@1 32.422 (30.082)	Prec@5 59.375 (59.158)
Epoch: [53][3850/7045]	Time 0.174 (0.248)	Data 0.123 (0.186)	Loss 3.0327 (3.0133)	Prec@1 30.469 (30.079)	Prec@5 59.766 (59.156)
Epoch: [53][3860/7045]	Time 0.196 (0.248)	Data 0.143 (0.186)	Loss 2.8709 (3.0131)	Prec@1 33.203 (30.081)	Prec@5 63.281 (59.160)
Epoch: [53][3870/7045]	Time 0.102 (0.248)	Data 0.006 (0.186)	Loss 3.1274 (3.0132)	Prec@1 26.562 (30.079)	Prec@5 55.469 (59.160)
Epoch: [53][3880/7045]	Time 0.259 (0.248)	Data 0.208 (0.186)	Loss 3.0064 (3.0132)	Prec@1 31.641 (30.079)	Prec@5 61.328 (59.162)
Epoch: [53][3890/7045]	Time 0.101 (0.248)	Data 0.001 (0.186)	Loss 2.9893 (3.0132)	Prec@1 32.422 (30.081)	Prec@5 60.938 (59.161)
Epoch: [53][3900/7045]	Time 0.354 (0.248)	Data 0.297 (0.186)	Loss 3.0998 (3.0132)	Prec@1 34.375 (30.086)	Prec@5 58.984 (59.162)
Epoch: [53][3910/7045]	Time 0.111 (0.248)	Data 0.059 (0.186)	Loss 2.9907 (3.0133)	Prec@1 36.328 (30.083)	Prec@5 60.547 (59.161)
Epoch: [53][3920/7045]	Time 0.374 (0.248)	Data 0.316 (0.186)	Loss 2.8786 (3.0132)	Prec@1 26.562 (30.083)	Prec@5 62.500 (59.162)
Epoch: [53][3930/7045]	Time 0.212 (0.248)	Data 0.160 (0.186)	Loss 2.8943 (3.0132)	Prec@1 31.641 (30.081)	Prec@5 62.891 (59.162)
Epoch: [53][3940/7045]	Time 0.279 (0.248)	Data 0.227 (0.186)	Loss 2.8736 (3.0130)	Prec@1 30.859 (30.084)	Prec@5 62.109 (59.167)
Epoch: [53][3950/7045]	Time 0.222 (0.248)	Data 0.171 (0.186)	Loss 3.1079 (3.0129)	Prec@1 26.562 (30.082)	Prec@5 57.422 (59.166)
Epoch: [53][3960/7045]	Time 0.186 (0.248)	Data 0.135 (0.186)	Loss 2.9665 (3.0128)	Prec@1 31.641 (30.082)	Prec@5 62.500 (59.171)
Epoch: [53][3970/7045]	Time 0.179 (0.248)	Data 0.128 (0.186)	Loss 3.0917 (3.0129)	Prec@1 25.391 (30.077)	Prec@5 57.422 (59.169)
Epoch: [53][3980/7045]	Time 0.108 (0.248)	Data 0.056 (0.186)	Loss 3.1756 (3.0131)	Prec@1 30.469 (30.077)	Prec@5 59.375 (59.167)
Epoch: [53][3990/7045]	Time 0.116 (0.248)	Data 0.065 (0.186)	Loss 3.1112 (3.0132)	Prec@1 29.688 (30.075)	Prec@5 55.078 (59.161)
Epoch: [53][4000/7045]	Time 0.227 (0.248)	Data 0.176 (0.186)	Loss 3.2893 (3.0135)	Prec@1 27.344 (30.070)	Prec@5 53.516 (59.157)
Epoch: [53][4010/7045]	Time 0.462 (0.248)	Data 0.406 (0.186)	Loss 3.0962 (3.0136)	Prec@1 29.688 (30.066)	Prec@5 55.859 (59.154)
Epoch: [53][4020/7045]	Time 0.247 (0.248)	Data 0.196 (0.186)	Loss 2.9020 (3.0136)	Prec@1 37.109 (30.065)	Prec@5 59.375 (59.156)
Epoch: [53][4030/7045]	Time 0.353 (0.248)	Data 0.302 (0.186)	Loss 2.9667 (3.0135)	Prec@1 25.391 (30.065)	Prec@5 58.984 (59.157)
Epoch: [53][4040/7045]	Time 0.202 (0.248)	Data 0.150 (0.186)	Loss 3.1537 (3.0136)	Prec@1 25.000 (30.065)	Prec@5 57.422 (59.156)
Epoch: [53][4050/7045]	Time 0.145 (0.248)	Data 0.094 (0.186)	Loss 3.0407 (3.0135)	Prec@1 35.547 (30.068)	Prec@5 58.594 (59.160)
Epoch: [53][4060/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 3.3312 (3.0134)	Prec@1 30.078 (30.070)	Prec@5 54.297 (59.162)
Epoch: [53][4070/7045]	Time 0.258 (0.248)	Data 0.207 (0.186)	Loss 2.9947 (3.0135)	Prec@1 35.156 (30.066)	Prec@5 58.203 (59.158)
Epoch: [53][4080/7045]	Time 0.101 (0.248)	Data 0.047 (0.186)	Loss 3.0401 (3.0135)	Prec@1 32.031 (30.067)	Prec@5 60.156 (59.157)
Epoch: [53][4090/7045]	Time 0.322 (0.248)	Data 0.271 (0.186)	Loss 2.8411 (3.0136)	Prec@1 38.281 (30.067)	Prec@5 61.328 (59.154)
Epoch: [53][4100/7045]	Time 0.250 (0.248)	Data 0.199 (0.186)	Loss 3.0605 (3.0136)	Prec@1 28.906 (30.066)	Prec@5 55.078 (59.156)
Epoch: [53][4110/7045]	Time 0.328 (0.248)	Data 0.277 (0.186)	Loss 3.3555 (3.0135)	Prec@1 25.391 (30.068)	Prec@5 52.734 (59.158)
Epoch: [53][4120/7045]	Time 0.554 (0.248)	Data 0.503 (0.186)	Loss 3.0331 (3.0137)	Prec@1 29.297 (30.064)	Prec@5 55.859 (59.153)
Epoch: [53][4130/7045]	Time 0.102 (0.248)	Data 0.050 (0.186)	Loss 2.7988 (3.0134)	Prec@1 36.719 (30.070)	Prec@5 62.109 (59.156)
Epoch: [53][4140/7045]	Time 0.323 (0.248)	Data 0.272 (0.186)	Loss 3.3088 (3.0135)	Prec@1 23.438 (30.067)	Prec@5 56.250 (59.154)
Epoch: [53][4150/7045]	Time 0.123 (0.248)	Data 0.071 (0.186)	Loss 3.0646 (3.0136)	Prec@1 27.734 (30.068)	Prec@5 58.984 (59.156)
Epoch: [53][4160/7045]	Time 0.235 (0.248)	Data 0.176 (0.186)	Loss 3.1956 (3.0136)	Prec@1 28.125 (30.071)	Prec@5 55.859 (59.158)
Epoch: [53][4170/7045]	Time 0.103 (0.248)	Data 0.001 (0.186)	Loss 3.1012 (3.0136)	Prec@1 28.516 (30.070)	Prec@5 57.422 (59.158)
Epoch: [53][4180/7045]	Time 0.507 (0.248)	Data 0.455 (0.186)	Loss 2.9816 (3.0138)	Prec@1 27.344 (30.065)	Prec@5 60.156 (59.156)
Epoch: [53][4190/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 2.8854 (3.0136)	Prec@1 28.516 (30.066)	Prec@5 62.109 (59.160)
Epoch: [53][4200/7045]	Time 0.108 (0.248)	Data 0.055 (0.186)	Loss 3.2040 (3.0138)	Prec@1 28.516 (30.064)	Prec@5 53.516 (59.159)
Epoch: [53][4210/7045]	Time 0.130 (0.248)	Data 0.078 (0.186)	Loss 3.0721 (3.0136)	Prec@1 24.219 (30.066)	Prec@5 58.203 (59.161)
Epoch: [53][4220/7045]	Time 0.102 (0.248)	Data 0.005 (0.186)	Loss 3.2512 (3.0137)	Prec@1 25.391 (30.065)	Prec@5 57.422 (59.162)
Epoch: [53][4230/7045]	Time 0.266 (0.248)	Data 0.215 (0.186)	Loss 3.0329 (3.0139)	Prec@1 28.906 (30.062)	Prec@5 59.375 (59.158)
Epoch: [53][4240/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 2.9233 (3.0139)	Prec@1 30.078 (30.060)	Prec@5 59.375 (59.158)
Epoch: [53][4250/7045]	Time 0.124 (0.248)	Data 0.073 (0.186)	Loss 2.9233 (3.0139)	Prec@1 33.984 (30.059)	Prec@5 61.719 (59.159)
Epoch: [53][4260/7045]	Time 0.102 (0.248)	Data 0.003 (0.186)	Loss 2.9666 (3.0140)	Prec@1 33.984 (30.059)	Prec@5 58.594 (59.156)
Epoch: [53][4270/7045]	Time 0.213 (0.248)	Data 0.161 (0.186)	Loss 3.1573 (3.0140)	Prec@1 29.297 (30.063)	Prec@5 58.203 (59.157)
Epoch: [53][4280/7045]	Time 0.102 (0.248)	Data 0.047 (0.186)	Loss 2.8366 (3.0140)	Prec@1 35.938 (30.063)	Prec@5 62.109 (59.159)
Epoch: [53][4290/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 2.9489 (3.0141)	Prec@1 33.203 (30.062)	Prec@5 60.547 (59.158)
Epoch: [53][4300/7045]	Time 0.151 (0.248)	Data 0.100 (0.186)	Loss 3.2148 (3.0141)	Prec@1 25.781 (30.061)	Prec@5 53.906 (59.160)
Epoch: [53][4310/7045]	Time 0.221 (0.248)	Data 0.169 (0.186)	Loss 2.8159 (3.0140)	Prec@1 30.078 (30.062)	Prec@5 58.984 (59.163)
Epoch: [53][4320/7045]	Time 0.241 (0.248)	Data 0.189 (0.186)	Loss 2.9383 (3.0140)	Prec@1 30.469 (30.062)	Prec@5 60.938 (59.160)
Epoch: [53][4330/7045]	Time 0.298 (0.248)	Data 0.248 (0.186)	Loss 3.0589 (3.0141)	Prec@1 28.906 (30.060)	Prec@5 57.812 (59.159)
Epoch: [53][4340/7045]	Time 0.117 (0.248)	Data 0.066 (0.186)	Loss 3.0290 (3.0139)	Prec@1 27.734 (30.063)	Prec@5 63.281 (59.161)
Epoch: [53][4350/7045]	Time 0.598 (0.248)	Data 0.546 (0.186)	Loss 2.9768 (3.0137)	Prec@1 29.688 (30.065)	Prec@5 60.938 (59.166)
Epoch: [53][4360/7045]	Time 0.135 (0.248)	Data 0.083 (0.186)	Loss 3.1304 (3.0138)	Prec@1 27.734 (30.064)	Prec@5 56.641 (59.165)
Epoch: [53][4370/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 3.1144 (3.0140)	Prec@1 28.125 (30.062)	Prec@5 58.203 (59.160)
Epoch: [53][4380/7045]	Time 0.212 (0.248)	Data 0.155 (0.186)	Loss 2.9862 (3.0138)	Prec@1 30.469 (30.067)	Prec@5 58.984 (59.164)
Epoch: [53][4390/7045]	Time 0.225 (0.248)	Data 0.174 (0.186)	Loss 3.1995 (3.0139)	Prec@1 26.562 (30.063)	Prec@5 53.906 (59.161)
Epoch: [53][4400/7045]	Time 0.108 (0.248)	Data 0.001 (0.186)	Loss 2.9827 (3.0140)	Prec@1 27.344 (30.060)	Prec@5 62.500 (59.158)
Epoch: [53][4410/7045]	Time 0.134 (0.248)	Data 0.081 (0.186)	Loss 3.2212 (3.0141)	Prec@1 30.469 (30.059)	Prec@5 53.906 (59.155)
Epoch: [53][4420/7045]	Time 0.392 (0.248)	Data 0.340 (0.186)	Loss 2.9518 (3.0143)	Prec@1 30.078 (30.054)	Prec@5 65.625 (59.156)
Epoch: [53][4430/7045]	Time 0.103 (0.248)	Data 0.006 (0.186)	Loss 3.1402 (3.0143)	Prec@1 31.250 (30.053)	Prec@5 55.469 (59.154)
Epoch: [53][4440/7045]	Time 0.466 (0.248)	Data 0.415 (0.186)	Loss 3.0080 (3.0144)	Prec@1 29.297 (30.052)	Prec@5 56.641 (59.152)
Epoch: [53][4450/7045]	Time 0.277 (0.248)	Data 0.225 (0.186)	Loss 3.0583 (3.0145)	Prec@1 27.344 (30.049)	Prec@5 55.469 (59.153)
Epoch: [53][4460/7045]	Time 0.267 (0.248)	Data 0.215 (0.186)	Loss 3.1220 (3.0145)	Prec@1 25.391 (30.048)	Prec@5 55.469 (59.153)
Epoch: [53][4470/7045]	Time 0.325 (0.248)	Data 0.273 (0.186)	Loss 2.9260 (3.0144)	Prec@1 31.250 (30.051)	Prec@5 59.766 (59.156)
Epoch: [53][4480/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 3.1189 (3.0145)	Prec@1 27.734 (30.048)	Prec@5 57.422 (59.157)
Epoch: [53][4490/7045]	Time 0.583 (0.248)	Data 0.522 (0.186)	Loss 2.9718 (3.0145)	Prec@1 32.031 (30.046)	Prec@5 60.938 (59.158)
Epoch: [53][4500/7045]	Time 0.114 (0.248)	Data 0.063 (0.186)	Loss 2.9375 (3.0145)	Prec@1 30.469 (30.044)	Prec@5 59.766 (59.159)
Epoch: [53][4510/7045]	Time 0.524 (0.248)	Data 0.467 (0.186)	Loss 3.1769 (3.0145)	Prec@1 24.609 (30.043)	Prec@5 57.422 (59.158)
Epoch: [53][4520/7045]	Time 0.100 (0.248)	Data 0.004 (0.186)	Loss 3.0438 (3.0144)	Prec@1 30.859 (30.042)	Prec@5 58.594 (59.160)
Epoch: [53][4530/7045]	Time 0.742 (0.248)	Data 0.692 (0.186)	Loss 2.9851 (3.0145)	Prec@1 31.641 (30.041)	Prec@5 60.938 (59.158)
Epoch: [53][4540/7045]	Time 0.206 (0.248)	Data 0.155 (0.186)	Loss 3.0364 (3.0146)	Prec@1 28.125 (30.040)	Prec@5 57.422 (59.158)
Epoch: [53][4550/7045]	Time 0.252 (0.248)	Data 0.201 (0.186)	Loss 2.7395 (3.0144)	Prec@1 32.031 (30.043)	Prec@5 67.969 (59.165)
Epoch: [53][4560/7045]	Time 0.536 (0.248)	Data 0.486 (0.186)	Loss 2.9136 (3.0142)	Prec@1 30.469 (30.045)	Prec@5 59.375 (59.169)
Epoch: [53][4570/7045]	Time 0.110 (0.248)	Data 0.001 (0.186)	Loss 2.8994 (3.0142)	Prec@1 33.203 (30.043)	Prec@5 60.156 (59.171)
Epoch: [53][4580/7045]	Time 0.474 (0.248)	Data 0.422 (0.186)	Loss 2.8940 (3.0143)	Prec@1 31.250 (30.039)	Prec@5 62.109 (59.169)
Epoch: [53][4590/7045]	Time 0.340 (0.248)	Data 0.289 (0.186)	Loss 3.1249 (3.0144)	Prec@1 30.469 (30.040)	Prec@5 53.906 (59.166)
Epoch: [53][4600/7045]	Time 0.242 (0.248)	Data 0.191 (0.186)	Loss 3.0912 (3.0144)	Prec@1 26.562 (30.040)	Prec@5 56.641 (59.166)
Epoch: [53][4610/7045]	Time 0.100 (0.248)	Data 0.001 (0.186)	Loss 2.9507 (3.0143)	Prec@1 33.984 (30.041)	Prec@5 61.719 (59.167)
Epoch: [53][4620/7045]	Time 0.106 (0.248)	Data 0.054 (0.186)	Loss 3.0582 (3.0142)	Prec@1 31.641 (30.043)	Prec@5 58.594 (59.167)
Epoch: [53][4630/7045]	Time 0.408 (0.248)	Data 0.356 (0.186)	Loss 2.9996 (3.0143)	Prec@1 34.766 (30.046)	Prec@5 57.812 (59.167)
Epoch: [53][4640/7045]	Time 0.306 (0.248)	Data 0.248 (0.186)	Loss 2.9763 (3.0144)	Prec@1 32.422 (30.045)	Prec@5 59.375 (59.162)
Epoch: [53][4650/7045]	Time 0.244 (0.248)	Data 0.193 (0.186)	Loss 3.1044 (3.0144)	Prec@1 31.250 (30.046)	Prec@5 57.031 (59.162)
Epoch: [53][4660/7045]	Time 0.253 (0.248)	Data 0.202 (0.186)	Loss 2.9245 (3.0144)	Prec@1 33.984 (30.048)	Prec@5 60.156 (59.161)
Epoch: [53][4670/7045]	Time 0.346 (0.248)	Data 0.294 (0.186)	Loss 2.8610 (3.0144)	Prec@1 32.031 (30.049)	Prec@5 65.234 (59.165)
Epoch: [53][4680/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 2.9503 (3.0145)	Prec@1 30.859 (30.046)	Prec@5 63.672 (59.163)
Epoch: [53][4690/7045]	Time 0.641 (0.248)	Data 0.589 (0.186)	Loss 3.0878 (3.0144)	Prec@1 28.906 (30.048)	Prec@5 58.984 (59.166)
Epoch: [53][4700/7045]	Time 0.103 (0.248)	Data 0.001 (0.186)	Loss 3.2605 (3.0145)	Prec@1 25.781 (30.046)	Prec@5 50.391 (59.165)
Epoch: [53][4710/7045]	Time 0.584 (0.248)	Data 0.533 (0.186)	Loss 3.0242 (3.0143)	Prec@1 29.688 (30.049)	Prec@5 58.984 (59.168)
Epoch: [53][4720/7045]	Time 0.108 (0.248)	Data 0.001 (0.186)	Loss 2.9785 (3.0143)	Prec@1 29.688 (30.051)	Prec@5 62.500 (59.172)
Epoch: [53][4730/7045]	Time 0.506 (0.248)	Data 0.456 (0.186)	Loss 3.1643 (3.0145)	Prec@1 27.734 (30.050)	Prec@5 53.516 (59.171)
Epoch: [53][4740/7045]	Time 0.333 (0.248)	Data 0.281 (0.186)	Loss 3.1680 (3.0145)	Prec@1 26.172 (30.048)	Prec@5 57.422 (59.170)
Epoch: [53][4750/7045]	Time 0.102 (0.248)	Data 0.005 (0.186)	Loss 3.0682 (3.0144)	Prec@1 26.172 (30.046)	Prec@5 58.984 (59.171)
Epoch: [53][4760/7045]	Time 0.395 (0.248)	Data 0.344 (0.186)	Loss 3.0206 (3.0145)	Prec@1 33.984 (30.045)	Prec@5 60.938 (59.169)
Epoch: [53][4770/7045]	Time 0.281 (0.248)	Data 0.225 (0.186)	Loss 3.2758 (3.0146)	Prec@1 25.391 (30.044)	Prec@5 53.125 (59.166)
Epoch: [53][4780/7045]	Time 0.167 (0.248)	Data 0.116 (0.186)	Loss 2.9504 (3.0145)	Prec@1 28.906 (30.042)	Prec@5 62.891 (59.166)
Epoch: [53][4790/7045]	Time 0.183 (0.248)	Data 0.131 (0.186)	Loss 3.1363 (3.0145)	Prec@1 25.781 (30.042)	Prec@5 57.812 (59.167)
Epoch: [53][4800/7045]	Time 0.278 (0.248)	Data 0.226 (0.186)	Loss 3.0124 (3.0145)	Prec@1 29.297 (30.043)	Prec@5 58.984 (59.167)
Epoch: [53][4810/7045]	Time 0.172 (0.248)	Data 0.120 (0.186)	Loss 2.9060 (3.0146)	Prec@1 32.031 (30.042)	Prec@5 62.109 (59.165)
Epoch: [53][4820/7045]	Time 0.353 (0.248)	Data 0.295 (0.186)	Loss 2.9052 (3.0146)	Prec@1 32.812 (30.041)	Prec@5 62.891 (59.164)
Epoch: [53][4830/7045]	Time 0.111 (0.248)	Data 0.059 (0.186)	Loss 2.8788 (3.0145)	Prec@1 30.078 (30.042)	Prec@5 62.891 (59.166)
Epoch: [53][4840/7045]	Time 0.307 (0.248)	Data 0.256 (0.186)	Loss 3.1408 (3.0146)	Prec@1 28.906 (30.043)	Prec@5 58.594 (59.166)
Epoch: [53][4850/7045]	Time 0.103 (0.248)	Data 0.050 (0.186)	Loss 3.2579 (3.0147)	Prec@1 24.219 (30.042)	Prec@5 54.688 (59.162)
Epoch: [53][4860/7045]	Time 0.213 (0.248)	Data 0.161 (0.186)	Loss 3.0284 (3.0146)	Prec@1 32.812 (30.044)	Prec@5 57.812 (59.166)
Epoch: [53][4870/7045]	Time 0.233 (0.248)	Data 0.182 (0.186)	Loss 3.0989 (3.0146)	Prec@1 31.641 (30.045)	Prec@5 56.250 (59.166)
Epoch: [53][4880/7045]	Time 0.127 (0.248)	Data 0.077 (0.186)	Loss 2.8695 (3.0146)	Prec@1 31.641 (30.044)	Prec@5 58.594 (59.165)
Epoch: [53][4890/7045]	Time 0.243 (0.248)	Data 0.191 (0.187)	Loss 3.0363 (3.0146)	Prec@1 31.250 (30.045)	Prec@5 58.594 (59.165)
Epoch: [53][4900/7045]	Time 0.104 (0.248)	Data 0.052 (0.186)	Loss 3.0895 (3.0146)	Prec@1 27.344 (30.045)	Prec@5 55.469 (59.164)
Epoch: [53][4910/7045]	Time 0.240 (0.248)	Data 0.188 (0.186)	Loss 3.1243 (3.0147)	Prec@1 28.125 (30.045)	Prec@5 58.203 (59.162)
Epoch: [53][4920/7045]	Time 0.101 (0.248)	Data 0.001 (0.186)	Loss 2.8732 (3.0147)	Prec@1 32.812 (30.046)	Prec@5 63.281 (59.163)
Epoch: [53][4930/7045]	Time 0.324 (0.248)	Data 0.267 (0.186)	Loss 2.8879 (3.0148)	Prec@1 30.078 (30.046)	Prec@5 61.328 (59.165)
Epoch: [53][4940/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 2.9664 (3.0147)	Prec@1 28.125 (30.048)	Prec@5 61.328 (59.165)
Epoch: [53][4950/7045]	Time 0.329 (0.248)	Data 0.274 (0.186)	Loss 2.9252 (3.0148)	Prec@1 30.859 (30.046)	Prec@5 61.719 (59.164)
Epoch: [53][4960/7045]	Time 0.104 (0.248)	Data 0.053 (0.186)	Loss 3.0044 (3.0149)	Prec@1 25.781 (30.043)	Prec@5 61.328 (59.164)
Epoch: [53][4970/7045]	Time 0.169 (0.248)	Data 0.117 (0.186)	Loss 3.1613 (3.0148)	Prec@1 25.000 (30.043)	Prec@5 57.812 (59.164)
Epoch: [53][4980/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 3.1360 (3.0148)	Prec@1 27.734 (30.045)	Prec@5 56.641 (59.163)
Epoch: [53][4990/7045]	Time 0.102 (0.248)	Data 0.049 (0.186)	Loss 2.9839 (3.0149)	Prec@1 28.125 (30.044)	Prec@5 58.594 (59.163)
Epoch: [53][5000/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 3.2090 (3.0150)	Prec@1 27.344 (30.042)	Prec@5 55.469 (59.163)
Epoch: [53][5010/7045]	Time 0.192 (0.248)	Data 0.140 (0.186)	Loss 3.0311 (3.0150)	Prec@1 33.594 (30.043)	Prec@5 59.375 (59.161)
Epoch: [53][5020/7045]	Time 0.802 (0.248)	Data 0.749 (0.186)	Loss 3.0178 (3.0149)	Prec@1 31.641 (30.045)	Prec@5 61.328 (59.163)
Epoch: [53][5030/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 3.0568 (3.0147)	Prec@1 30.859 (30.049)	Prec@5 60.156 (59.166)
Epoch: [53][5040/7045]	Time 0.338 (0.248)	Data 0.288 (0.186)	Loss 2.8123 (3.0148)	Prec@1 32.812 (30.046)	Prec@5 62.500 (59.163)
Epoch: [53][5050/7045]	Time 0.101 (0.248)	Data 0.001 (0.186)	Loss 3.1387 (3.0148)	Prec@1 28.906 (30.047)	Prec@5 57.812 (59.161)
Epoch: [53][5060/7045]	Time 0.103 (0.248)	Data 0.005 (0.186)	Loss 2.9738 (3.0148)	Prec@1 30.469 (30.049)	Prec@5 58.984 (59.159)
Epoch: [53][5070/7045]	Time 0.575 (0.248)	Data 0.523 (0.186)	Loss 2.9418 (3.0149)	Prec@1 31.641 (30.050)	Prec@5 57.031 (59.157)
Epoch: [53][5080/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 2.8613 (3.0148)	Prec@1 35.547 (30.052)	Prec@5 63.281 (59.157)
Epoch: [53][5090/7045]	Time 0.567 (0.248)	Data 0.508 (0.186)	Loss 3.1091 (3.0148)	Prec@1 27.734 (30.052)	Prec@5 57.422 (59.157)
Epoch: [53][5100/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 2.8304 (3.0148)	Prec@1 29.688 (30.049)	Prec@5 60.938 (59.156)
Epoch: [53][5110/7045]	Time 0.106 (0.248)	Data 0.046 (0.186)	Loss 3.0062 (3.0147)	Prec@1 32.422 (30.051)	Prec@5 58.203 (59.158)
Epoch: [53][5120/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 3.1057 (3.0146)	Prec@1 27.344 (30.053)	Prec@5 58.203 (59.160)
Epoch: [53][5130/7045]	Time 0.101 (0.248)	Data 0.011 (0.186)	Loss 3.2112 (3.0147)	Prec@1 25.000 (30.050)	Prec@5 52.734 (59.157)
Epoch: [53][5140/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 2.8250 (3.0146)	Prec@1 30.078 (30.050)	Prec@5 62.500 (59.161)
Epoch: [53][5150/7045]	Time 0.103 (0.248)	Data 0.007 (0.186)	Loss 2.8827 (3.0145)	Prec@1 32.422 (30.052)	Prec@5 58.984 (59.161)
Epoch: [53][5160/7045]	Time 0.107 (0.248)	Data 0.054 (0.186)	Loss 3.2261 (3.0146)	Prec@1 25.781 (30.052)	Prec@5 56.250 (59.161)
Epoch: [53][5170/7045]	Time 0.101 (0.248)	Data 0.022 (0.186)	Loss 3.0001 (3.0146)	Prec@1 30.859 (30.051)	Prec@5 60.156 (59.162)
Epoch: [53][5180/7045]	Time 0.219 (0.248)	Data 0.168 (0.186)	Loss 2.8924 (3.0145)	Prec@1 30.078 (30.054)	Prec@5 62.109 (59.161)
Epoch: [53][5190/7045]	Time 0.112 (0.248)	Data 0.062 (0.186)	Loss 3.0368 (3.0144)	Prec@1 27.734 (30.056)	Prec@5 59.766 (59.164)
Epoch: [53][5200/7045]	Time 0.257 (0.248)	Data 0.206 (0.186)	Loss 3.0713 (3.0145)	Prec@1 27.344 (30.056)	Prec@5 60.156 (59.161)
Epoch: [53][5210/7045]	Time 0.109 (0.248)	Data 0.056 (0.186)	Loss 3.0960 (3.0145)	Prec@1 28.516 (30.056)	Prec@5 58.203 (59.160)
Epoch: [53][5220/7045]	Time 0.301 (0.248)	Data 0.249 (0.186)	Loss 2.8562 (3.0147)	Prec@1 33.594 (30.054)	Prec@5 62.109 (59.156)
Epoch: [53][5230/7045]	Time 0.101 (0.248)	Data 0.011 (0.186)	Loss 2.8060 (3.0146)	Prec@1 35.938 (30.054)	Prec@5 62.891 (59.158)
Epoch: [53][5240/7045]	Time 0.214 (0.248)	Data 0.162 (0.186)	Loss 3.1049 (3.0146)	Prec@1 30.859 (30.055)	Prec@5 55.859 (59.157)
Epoch: [53][5250/7045]	Time 0.201 (0.248)	Data 0.151 (0.186)	Loss 2.7580 (3.0145)	Prec@1 30.859 (30.055)	Prec@5 64.453 (59.159)
Epoch: [53][5260/7045]	Time 0.263 (0.248)	Data 0.211 (0.186)	Loss 2.8463 (3.0145)	Prec@1 33.594 (30.053)	Prec@5 60.156 (59.159)
Epoch: [53][5270/7045]	Time 0.104 (0.248)	Data 0.051 (0.186)	Loss 2.9909 (3.0145)	Prec@1 30.469 (30.052)	Prec@5 59.375 (59.160)
Epoch: [53][5280/7045]	Time 0.336 (0.248)	Data 0.286 (0.186)	Loss 3.0047 (3.0146)	Prec@1 29.688 (30.049)	Prec@5 58.984 (59.158)
Epoch: [53][5290/7045]	Time 0.659 (0.248)	Data 0.600 (0.186)	Loss 3.1176 (3.0146)	Prec@1 25.000 (30.049)	Prec@5 55.469 (59.157)
Epoch: [53][5300/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 2.9210 (3.0149)	Prec@1 33.594 (30.047)	Prec@5 60.156 (59.154)
Epoch: [53][5310/7045]	Time 0.432 (0.248)	Data 0.374 (0.186)	Loss 2.7899 (3.0149)	Prec@1 32.422 (30.047)	Prec@5 64.453 (59.154)
Epoch: [53][5320/7045]	Time 0.139 (0.248)	Data 0.088 (0.186)	Loss 2.9616 (3.0149)	Prec@1 31.641 (30.049)	Prec@5 58.594 (59.151)
Epoch: [53][5330/7045]	Time 0.307 (0.248)	Data 0.247 (0.186)	Loss 3.0196 (3.0150)	Prec@1 33.203 (30.049)	Prec@5 54.688 (59.150)
Epoch: [53][5340/7045]	Time 0.268 (0.248)	Data 0.217 (0.186)	Loss 2.8670 (3.0150)	Prec@1 33.594 (30.050)	Prec@5 61.719 (59.151)
Epoch: [53][5350/7045]	Time 0.179 (0.248)	Data 0.120 (0.186)	Loss 2.8649 (3.0148)	Prec@1 28.516 (30.051)	Prec@5 62.109 (59.155)
Epoch: [53][5360/7045]	Time 0.324 (0.248)	Data 0.273 (0.186)	Loss 3.0605 (3.0149)	Prec@1 30.859 (30.049)	Prec@5 58.203 (59.152)
Epoch: [53][5370/7045]	Time 0.136 (0.248)	Data 0.084 (0.186)	Loss 3.0718 (3.0150)	Prec@1 30.078 (30.048)	Prec@5 57.422 (59.149)
Epoch: [53][5380/7045]	Time 0.385 (0.248)	Data 0.334 (0.186)	Loss 3.0414 (3.0151)	Prec@1 28.516 (30.046)	Prec@5 58.203 (59.147)
Epoch: [53][5390/7045]	Time 0.102 (0.248)	Data 0.008 (0.186)	Loss 3.2889 (3.0150)	Prec@1 26.953 (30.046)	Prec@5 53.906 (59.147)
Epoch: [53][5400/7045]	Time 0.531 (0.248)	Data 0.479 (0.186)	Loss 3.3360 (3.0150)	Prec@1 22.266 (30.043)	Prec@5 50.781 (59.146)
Epoch: [53][5410/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 2.8517 (3.0150)	Prec@1 33.984 (30.044)	Prec@5 61.719 (59.145)
Epoch: [53][5420/7045]	Time 0.342 (0.248)	Data 0.291 (0.186)	Loss 2.9988 (3.0152)	Prec@1 28.906 (30.043)	Prec@5 61.719 (59.143)
Epoch: [53][5430/7045]	Time 0.368 (0.248)	Data 0.316 (0.186)	Loss 2.9430 (3.0151)	Prec@1 29.297 (30.043)	Prec@5 62.109 (59.143)
Epoch: [53][5440/7045]	Time 0.108 (0.248)	Data 0.056 (0.186)	Loss 3.1277 (3.0152)	Prec@1 30.078 (30.041)	Prec@5 56.641 (59.142)
Epoch: [53][5450/7045]	Time 0.550 (0.248)	Data 0.492 (0.186)	Loss 3.1830 (3.0153)	Prec@1 26.172 (30.038)	Prec@5 56.641 (59.140)
Epoch: [53][5460/7045]	Time 0.104 (0.248)	Data 0.005 (0.186)	Loss 3.2711 (3.0152)	Prec@1 28.906 (30.040)	Prec@5 53.906 (59.142)
Epoch: [53][5470/7045]	Time 0.480 (0.248)	Data 0.429 (0.186)	Loss 2.8717 (3.0153)	Prec@1 33.594 (30.040)	Prec@5 62.891 (59.141)
Epoch: [53][5480/7045]	Time 0.108 (0.248)	Data 0.057 (0.186)	Loss 3.0823 (3.0154)	Prec@1 27.344 (30.039)	Prec@5 57.812 (59.139)
Epoch: [53][5490/7045]	Time 0.372 (0.248)	Data 0.321 (0.186)	Loss 3.0666 (3.0155)	Prec@1 28.125 (30.037)	Prec@5 56.641 (59.137)
Epoch: [53][5500/7045]	Time 0.103 (0.248)	Data 0.050 (0.186)	Loss 3.0309 (3.0155)	Prec@1 29.297 (30.036)	Prec@5 60.156 (59.136)
Epoch: [53][5510/7045]	Time 0.345 (0.248)	Data 0.294 (0.186)	Loss 3.1046 (3.0155)	Prec@1 30.078 (30.036)	Prec@5 57.422 (59.136)
Epoch: [53][5520/7045]	Time 0.205 (0.248)	Data 0.153 (0.186)	Loss 2.9635 (3.0156)	Prec@1 30.469 (30.034)	Prec@5 59.375 (59.135)
Epoch: [53][5530/7045]	Time 0.318 (0.248)	Data 0.268 (0.186)	Loss 3.1825 (3.0157)	Prec@1 27.344 (30.034)	Prec@5 57.812 (59.135)
Epoch: [53][5540/7045]	Time 0.400 (0.248)	Data 0.346 (0.186)	Loss 2.7683 (3.0156)	Prec@1 41.797 (30.038)	Prec@5 60.156 (59.136)
Epoch: [53][5550/7045]	Time 0.180 (0.248)	Data 0.130 (0.186)	Loss 2.9408 (3.0156)	Prec@1 31.250 (30.037)	Prec@5 59.375 (59.136)
Epoch: [53][5560/7045]	Time 0.389 (0.248)	Data 0.338 (0.186)	Loss 3.2182 (3.0156)	Prec@1 32.422 (30.039)	Prec@5 57.812 (59.136)
Epoch: [53][5570/7045]	Time 0.191 (0.248)	Data 0.141 (0.186)	Loss 2.9728 (3.0155)	Prec@1 31.250 (30.043)	Prec@5 59.375 (59.139)
Epoch: [53][5580/7045]	Time 0.504 (0.248)	Data 0.452 (0.186)	Loss 2.9045 (3.0155)	Prec@1 29.297 (30.042)	Prec@5 63.281 (59.139)
Epoch: [53][5590/7045]	Time 0.108 (0.248)	Data 0.051 (0.186)	Loss 2.9934 (3.0155)	Prec@1 33.203 (30.042)	Prec@5 60.156 (59.137)
Epoch: [53][5600/7045]	Time 0.329 (0.248)	Data 0.277 (0.186)	Loss 3.1316 (3.0156)	Prec@1 27.734 (30.042)	Prec@5 58.984 (59.135)
Epoch: [53][5610/7045]	Time 0.101 (0.248)	Data 0.001 (0.186)	Loss 3.0184 (3.0156)	Prec@1 28.516 (30.041)	Prec@5 58.203 (59.134)
Epoch: [53][5620/7045]	Time 0.188 (0.248)	Data 0.137 (0.186)	Loss 3.1391 (3.0156)	Prec@1 27.344 (30.041)	Prec@5 56.641 (59.135)
Epoch: [53][5630/7045]	Time 0.296 (0.248)	Data 0.239 (0.186)	Loss 2.9690 (3.0155)	Prec@1 32.422 (30.044)	Prec@5 62.500 (59.136)
Epoch: [53][5640/7045]	Time 0.103 (0.248)	Data 0.001 (0.186)	Loss 2.8638 (3.0155)	Prec@1 36.328 (30.046)	Prec@5 64.062 (59.136)
Epoch: [53][5650/7045]	Time 0.251 (0.248)	Data 0.198 (0.186)	Loss 3.1503 (3.0155)	Prec@1 25.391 (30.046)	Prec@5 53.906 (59.134)
Epoch: [53][5660/7045]	Time 0.102 (0.248)	Data 0.001 (0.186)	Loss 3.0655 (3.0154)	Prec@1 31.641 (30.047)	Prec@5 57.812 (59.134)
Epoch: [53][5670/7045]	Time 0.145 (0.248)	Data 0.087 (0.186)	Loss 3.1732 (3.0153)	Prec@1 29.688 (30.049)	Prec@5 55.859 (59.138)
Epoch: [53][5680/7045]	Time 0.103 (0.248)	Data 0.001 (0.186)	Loss 2.9107 (3.0153)	Prec@1 33.203 (30.050)	Prec@5 60.938 (59.137)
Epoch: [53][5690/7045]	Time 0.125 (0.248)	Data 0.074 (0.186)	Loss 2.9781 (3.0153)	Prec@1 26.562 (30.050)	Prec@5 60.156 (59.137)
Epoch: [53][5700/7045]	Time 0.364 (0.248)	Data 0.313 (0.186)	Loss 2.9421 (3.0152)	Prec@1 27.344 (30.053)	Prec@5 61.328 (59.139)
Epoch: [53][5710/7045]	Time 0.128 (0.248)	Data 0.077 (0.186)	Loss 2.8168 (3.0151)	Prec@1 32.031 (30.053)	Prec@5 64.844 (59.142)
Epoch: [53][5720/7045]	Time 0.520 (0.248)	Data 0.461 (0.186)	Loss 3.0443 (3.0151)	Prec@1 28.516 (30.053)	Prec@5 58.203 (59.142)
Epoch: [53][5730/7045]	Time 0.142 (0.248)	Data 0.090 (0.186)	Loss 3.0193 (3.0153)	Prec@1 27.734 (30.051)	Prec@5 56.250 (59.137)
Epoch: [53][5740/7045]	Time 0.619 (0.248)	Data 0.567 (0.186)	Loss 2.9423 (3.0153)	Prec@1 28.906 (30.052)	Prec@5 61.328 (59.136)
Epoch: [53][5750/7045]	Time 0.246 (0.248)	Data 0.195 (0.186)	Loss 3.1174 (3.0154)	Prec@1 28.906 (30.052)	Prec@5 59.375 (59.137)
Epoch: [53][5760/7045]	Time 0.634 (0.248)	Data 0.575 (0.186)	Loss 3.0676 (3.0154)	Prec@1 31.250 (30.052)	Prec@5 59.375 (59.138)
Epoch: [53][5770/7045]	Time 0.114 (0.248)	Data 0.055 (0.186)	Loss 2.9505 (3.0153)	Prec@1 31.250 (30.052)	Prec@5 60.938 (59.141)
Epoch: [53][5780/7045]	Time 0.603 (0.248)	Data 0.544 (0.186)	Loss 3.0656 (3.0152)	Prec@1 32.812 (30.053)	Prec@5 57.422 (59.142)
Epoch: [53][5790/7045]	Time 0.100 (0.248)	Data 0.001 (0.186)	Loss 3.1052 (3.0154)	Prec@1 29.688 (30.051)	Prec@5 58.203 (59.139)
Epoch: [53][5800/7045]	Time 0.637 (0.248)	Data 0.586 (0.186)	Loss 3.0922 (3.0154)	Prec@1 28.906 (30.051)	Prec@5 57.422 (59.138)
Epoch: [53][5810/7045]	Time 0.195 (0.248)	Data 0.144 (0.186)	Loss 3.2423 (3.0156)	Prec@1 25.000 (30.047)	Prec@5 54.688 (59.133)
Epoch: [53][5820/7045]	Time 0.369 (0.248)	Data 0.318 (0.186)	Loss 2.8674 (3.0157)	Prec@1 33.594 (30.044)	Prec@5 63.281 (59.129)
Epoch: [53][5830/7045]	Time 0.154 (0.248)	Data 0.103 (0.186)	Loss 2.9810 (3.0158)	Prec@1 33.984 (30.044)	Prec@5 60.547 (59.129)
Epoch: [53][5840/7045]	Time 0.311 (0.248)	Data 0.256 (0.186)	Loss 2.9721 (3.0157)	Prec@1 30.078 (30.046)	Prec@5 60.547 (59.130)
Epoch: [53][5850/7045]	Time 0.284 (0.248)	Data 0.233 (0.186)	Loss 2.9988 (3.0157)	Prec@1 33.984 (30.049)	Prec@5 61.328 (59.130)
Epoch: [53][5860/7045]	Time 0.216 (0.248)	Data 0.165 (0.186)	Loss 3.0324 (3.0159)	Prec@1 28.125 (30.045)	Prec@5 60.156 (59.126)
Epoch: [53][5870/7045]	Time 0.370 (0.248)	Data 0.317 (0.186)	Loss 2.9899 (3.0160)	Prec@1 31.250 (30.045)	Prec@5 60.156 (59.124)
Epoch: [53][5880/7045]	Time 0.175 (0.248)	Data 0.124 (0.186)	Loss 2.9508 (3.0160)	Prec@1 31.250 (30.044)	Prec@5 61.328 (59.122)
Epoch: [53][5890/7045]	Time 0.290 (0.248)	Data 0.239 (0.186)	Loss 3.1512 (3.0161)	Prec@1 28.906 (30.044)	Prec@5 54.688 (59.122)
Epoch: [53][5900/7045]	Time 0.101 (0.247)	Data 0.002 (0.186)	Loss 2.9911 (3.0161)	Prec@1 30.078 (30.045)	Prec@5 59.766 (59.122)
Epoch: [53][5910/7045]	Time 0.279 (0.247)	Data 0.227 (0.186)	Loss 2.9563 (3.0162)	Prec@1 26.172 (30.043)	Prec@5 59.766 (59.120)
Epoch: [53][5920/7045]	Time 0.101 (0.247)	Data 0.003 (0.186)	Loss 2.8627 (3.0163)	Prec@1 30.859 (30.041)	Prec@5 62.891 (59.117)
Epoch: [53][5930/7045]	Time 0.249 (0.247)	Data 0.197 (0.186)	Loss 3.1125 (3.0163)	Prec@1 28.125 (30.042)	Prec@5 58.203 (59.116)
Epoch: [53][5940/7045]	Time 0.102 (0.247)	Data 0.005 (0.186)	Loss 2.9435 (3.0163)	Prec@1 33.203 (30.044)	Prec@5 61.328 (59.117)
Epoch: [53][5950/7045]	Time 0.226 (0.247)	Data 0.174 (0.186)	Loss 3.0070 (3.0163)	Prec@1 29.297 (30.045)	Prec@5 59.766 (59.117)
Epoch: [53][5960/7045]	Time 0.103 (0.247)	Data 0.007 (0.186)	Loss 3.0840 (3.0163)	Prec@1 30.078 (30.047)	Prec@5 55.859 (59.118)
Epoch: [53][5970/7045]	Time 0.267 (0.247)	Data 0.215 (0.186)	Loss 2.9122 (3.0162)	Prec@1 28.516 (30.045)	Prec@5 63.672 (59.118)
Epoch: [53][5980/7045]	Time 0.109 (0.247)	Data 0.008 (0.186)	Loss 3.0229 (3.0162)	Prec@1 28.906 (30.046)	Prec@5 57.031 (59.117)
Epoch: [53][5990/7045]	Time 0.358 (0.247)	Data 0.306 (0.185)	Loss 2.8992 (3.0162)	Prec@1 31.641 (30.048)	Prec@5 59.766 (59.118)
Epoch: [53][6000/7045]	Time 0.107 (0.247)	Data 0.003 (0.185)	Loss 2.9219 (3.0160)	Prec@1 29.297 (30.048)	Prec@5 62.500 (59.120)
Epoch: [53][6010/7045]	Time 0.428 (0.247)	Data 0.378 (0.185)	Loss 2.9274 (3.0160)	Prec@1 34.766 (30.049)	Prec@5 60.938 (59.119)
Epoch: [53][6020/7045]	Time 0.109 (0.247)	Data 0.002 (0.185)	Loss 2.9318 (3.0161)	Prec@1 28.125 (30.048)	Prec@5 59.766 (59.120)
Epoch: [53][6030/7045]	Time 0.450 (0.247)	Data 0.400 (0.185)	Loss 3.2732 (3.0162)	Prec@1 24.219 (30.048)	Prec@5 53.125 (59.119)
Epoch: [53][6040/7045]	Time 0.102 (0.247)	Data 0.001 (0.185)	Loss 3.0459 (3.0163)	Prec@1 29.297 (30.045)	Prec@5 59.766 (59.117)
Epoch: [53][6050/7045]	Time 0.361 (0.247)	Data 0.310 (0.185)	Loss 2.8859 (3.0162)	Prec@1 30.859 (30.047)	Prec@5 64.453 (59.119)
Epoch: [53][6060/7045]	Time 0.122 (0.247)	Data 0.070 (0.185)	Loss 3.1024 (3.0161)	Prec@1 28.906 (30.047)	Prec@5 56.250 (59.121)
Epoch: [53][6070/7045]	Time 0.364 (0.247)	Data 0.313 (0.185)	Loss 2.9954 (3.0162)	Prec@1 30.469 (30.046)	Prec@5 59.766 (59.117)
Epoch: [53][6080/7045]	Time 0.106 (0.247)	Data 0.003 (0.185)	Loss 3.1625 (3.0163)	Prec@1 26.953 (30.045)	Prec@5 58.203 (59.116)
Epoch: [53][6090/7045]	Time 0.101 (0.247)	Data 0.010 (0.185)	Loss 3.1359 (3.0163)	Prec@1 26.953 (30.043)	Prec@5 55.469 (59.116)
Epoch: [53][6100/7045]	Time 0.102 (0.247)	Data 0.004 (0.185)	Loss 2.9501 (3.0164)	Prec@1 31.250 (30.041)	Prec@5 60.156 (59.116)
Epoch: [53][6110/7045]	Time 0.127 (0.247)	Data 0.070 (0.185)	Loss 3.1744 (3.0164)	Prec@1 25.781 (30.040)	Prec@5 54.688 (59.115)
Epoch: [53][6120/7045]	Time 0.111 (0.247)	Data 0.060 (0.185)	Loss 2.9058 (3.0163)	Prec@1 33.594 (30.040)	Prec@5 61.719 (59.116)
Epoch: [53][6130/7045]	Time 0.131 (0.247)	Data 0.078 (0.185)	Loss 2.9997 (3.0162)	Prec@1 26.562 (30.043)	Prec@5 58.594 (59.117)
Epoch: [53][6140/7045]	Time 0.102 (0.247)	Data 0.001 (0.185)	Loss 2.9382 (3.0161)	Prec@1 31.250 (30.045)	Prec@5 57.812 (59.118)
Epoch: [53][6150/7045]	Time 0.102 (0.247)	Data 0.046 (0.185)	Loss 3.0671 (3.0162)	Prec@1 30.469 (30.045)	Prec@5 56.250 (59.116)
Epoch: [53][6160/7045]	Time 0.105 (0.247)	Data 0.051 (0.185)	Loss 2.9948 (3.0162)	Prec@1 33.203 (30.043)	Prec@5 58.984 (59.115)
Epoch: [53][6170/7045]	Time 0.105 (0.247)	Data 0.052 (0.185)	Loss 3.0628 (3.0162)	Prec@1 30.859 (30.043)	Prec@5 57.812 (59.115)
Epoch: [53][6180/7045]	Time 0.212 (0.247)	Data 0.162 (0.185)	Loss 3.2012 (3.0162)	Prec@1 28.516 (30.043)	Prec@5 56.641 (59.116)
Epoch: [53][6190/7045]	Time 0.166 (0.247)	Data 0.115 (0.185)	Loss 3.0705 (3.0162)	Prec@1 29.297 (30.044)	Prec@5 58.984 (59.115)
Epoch: [53][6200/7045]	Time 0.314 (0.247)	Data 0.263 (0.185)	Loss 3.1293 (3.0164)	Prec@1 28.906 (30.040)	Prec@5 56.641 (59.111)
Epoch: [53][6210/7045]	Time 0.181 (0.247)	Data 0.129 (0.185)	Loss 3.1337 (3.0165)	Prec@1 31.641 (30.039)	Prec@5 55.859 (59.109)
Epoch: [53][6220/7045]	Time 0.219 (0.247)	Data 0.167 (0.185)	Loss 2.9882 (3.0165)	Prec@1 33.203 (30.040)	Prec@5 63.281 (59.109)
Epoch: [53][6230/7045]	Time 0.293 (0.247)	Data 0.235 (0.185)	Loss 2.8318 (3.0165)	Prec@1 33.984 (30.041)	Prec@5 61.328 (59.108)
Epoch: [53][6240/7045]	Time 0.198 (0.247)	Data 0.147 (0.185)	Loss 3.1431 (3.0165)	Prec@1 32.031 (30.043)	Prec@5 56.641 (59.108)
Epoch: [53][6250/7045]	Time 0.380 (0.247)	Data 0.329 (0.185)	Loss 3.2804 (3.0164)	Prec@1 26.172 (30.043)	Prec@5 51.172 (59.108)
Epoch: [53][6260/7045]	Time 0.211 (0.247)	Data 0.160 (0.185)	Loss 2.9339 (3.0165)	Prec@1 29.297 (30.042)	Prec@5 59.766 (59.107)
Epoch: [53][6270/7045]	Time 0.381 (0.247)	Data 0.330 (0.185)	Loss 3.2002 (3.0166)	Prec@1 25.781 (30.040)	Prec@5 55.859 (59.106)
Epoch: [53][6280/7045]	Time 0.215 (0.247)	Data 0.163 (0.185)	Loss 3.0232 (3.0166)	Prec@1 25.391 (30.039)	Prec@5 60.156 (59.107)
Epoch: [53][6290/7045]	Time 0.323 (0.247)	Data 0.271 (0.185)	Loss 2.9996 (3.0167)	Prec@1 29.297 (30.037)	Prec@5 57.031 (59.105)
Epoch: [53][6300/7045]	Time 0.108 (0.247)	Data 0.056 (0.185)	Loss 2.9517 (3.0167)	Prec@1 28.125 (30.037)	Prec@5 59.375 (59.105)
Epoch: [53][6310/7045]	Time 0.256 (0.247)	Data 0.205 (0.185)	Loss 3.2130 (3.0167)	Prec@1 24.609 (30.036)	Prec@5 53.906 (59.104)
Epoch: [53][6320/7045]	Time 0.169 (0.247)	Data 0.113 (0.185)	Loss 3.0567 (3.0167)	Prec@1 29.297 (30.035)	Prec@5 59.766 (59.105)
Epoch: [53][6330/7045]	Time 0.236 (0.247)	Data 0.186 (0.185)	Loss 3.0997 (3.0167)	Prec@1 25.391 (30.034)	Prec@5 59.375 (59.104)
Epoch: [53][6340/7045]	Time 0.267 (0.247)	Data 0.215 (0.185)	Loss 2.8672 (3.0167)	Prec@1 32.031 (30.036)	Prec@5 63.281 (59.104)
Epoch: [53][6350/7045]	Time 0.193 (0.247)	Data 0.141 (0.185)	Loss 2.9598 (3.0167)	Prec@1 33.594 (30.037)	Prec@5 58.984 (59.103)
Epoch: [53][6360/7045]	Time 0.218 (0.247)	Data 0.167 (0.185)	Loss 2.8899 (3.0166)	Prec@1 31.641 (30.038)	Prec@5 62.109 (59.105)
Epoch: [53][6370/7045]	Time 0.102 (0.247)	Data 0.049 (0.185)	Loss 3.1257 (3.0166)	Prec@1 29.297 (30.038)	Prec@5 56.250 (59.106)
Epoch: [53][6380/7045]	Time 0.109 (0.247)	Data 0.008 (0.185)	Loss 2.9688 (3.0165)	Prec@1 32.422 (30.039)	Prec@5 58.984 (59.107)
Epoch: [53][6390/7045]	Time 0.101 (0.247)	Data 0.001 (0.185)	Loss 2.9726 (3.0165)	Prec@1 30.859 (30.040)	Prec@5 61.328 (59.108)
Epoch: [53][6400/7045]	Time 0.106 (0.247)	Data 0.045 (0.185)	Loss 3.0155 (3.0165)	Prec@1 30.469 (30.041)	Prec@5 59.766 (59.108)
Epoch: [53][6410/7045]	Time 0.115 (0.247)	Data 0.064 (0.185)	Loss 2.9501 (3.0165)	Prec@1 32.031 (30.042)	Prec@5 63.281 (59.108)
Epoch: [53][6420/7045]	Time 0.255 (0.247)	Data 0.204 (0.185)	Loss 2.8048 (3.0164)	Prec@1 34.766 (30.043)	Prec@5 60.156 (59.110)
Epoch: [53][6430/7045]	Time 0.174 (0.247)	Data 0.123 (0.185)	Loss 2.9354 (3.0164)	Prec@1 30.078 (30.043)	Prec@5 60.938 (59.111)
Epoch: [53][6440/7045]	Time 0.178 (0.247)	Data 0.127 (0.185)	Loss 3.0214 (3.0163)	Prec@1 30.469 (30.041)	Prec@5 58.984 (59.110)
Epoch: [53][6450/7045]	Time 0.140 (0.247)	Data 0.089 (0.185)	Loss 3.0673 (3.0163)	Prec@1 31.250 (30.043)	Prec@5 57.031 (59.111)
Epoch: [53][6460/7045]	Time 0.211 (0.247)	Data 0.160 (0.185)	Loss 3.0942 (3.0164)	Prec@1 27.344 (30.042)	Prec@5 57.812 (59.110)
Epoch: [53][6470/7045]	Time 0.102 (0.247)	Data 0.001 (0.185)	Loss 2.9466 (3.0164)	Prec@1 31.641 (30.041)	Prec@5 57.031 (59.107)
Epoch: [53][6480/7045]	Time 0.192 (0.247)	Data 0.141 (0.185)	Loss 3.1363 (3.0165)	Prec@1 30.469 (30.041)	Prec@5 59.766 (59.108)
Epoch: [53][6490/7045]	Time 0.102 (0.247)	Data 0.001 (0.185)	Loss 3.0772 (3.0164)	Prec@1 30.859 (30.042)	Prec@5 55.859 (59.108)
Epoch: [53][6500/7045]	Time 0.101 (0.247)	Data 0.044 (0.185)	Loss 2.9582 (3.0164)	Prec@1 30.859 (30.042)	Prec@5 56.641 (59.107)
Epoch: [53][6510/7045]	Time 0.107 (0.247)	Data 0.055 (0.185)	Loss 2.9162 (3.0163)	Prec@1 32.422 (30.044)	Prec@5 60.156 (59.109)
Epoch: [53][6520/7045]	Time 0.102 (0.247)	Data 0.001 (0.185)	Loss 3.1544 (3.0164)	Prec@1 28.125 (30.042)	Prec@5 55.859 (59.108)
Epoch: [53][6530/7045]	Time 0.189 (0.247)	Data 0.137 (0.185)	Loss 2.9423 (3.0163)	Prec@1 30.078 (30.044)	Prec@5 59.375 (59.109)
Epoch: [53][6540/7045]	Time 0.101 (0.247)	Data 0.001 (0.185)	Loss 3.2925 (3.0164)	Prec@1 26.562 (30.043)	Prec@5 53.906 (59.109)
Epoch: [53][6550/7045]	Time 0.149 (0.247)	Data 0.098 (0.185)	Loss 2.8437 (3.0164)	Prec@1 31.250 (30.043)	Prec@5 64.453 (59.108)
Epoch: [53][6560/7045]	Time 0.102 (0.247)	Data 0.004 (0.185)	Loss 2.9605 (3.0165)	Prec@1 31.250 (30.040)	Prec@5 60.547 (59.108)
Epoch: [53][6570/7045]	Time 0.111 (0.247)	Data 0.060 (0.185)	Loss 2.9175 (3.0165)	Prec@1 32.031 (30.040)	Prec@5 62.109 (59.106)
Epoch: [53][6580/7045]	Time 0.102 (0.247)	Data 0.001 (0.185)	Loss 2.9821 (3.0165)	Prec@1 26.953 (30.039)	Prec@5 59.375 (59.107)
Epoch: [53][6590/7045]	Time 0.108 (0.247)	Data 0.006 (0.185)	Loss 3.1204 (3.0165)	Prec@1 31.641 (30.040)	Prec@5 56.641 (59.106)
Epoch: [53][6600/7045]	Time 0.360 (0.247)	Data 0.308 (0.185)	Loss 3.2133 (3.0165)	Prec@1 28.125 (30.040)	Prec@5 57.031 (59.105)
Epoch: [53][6610/7045]	Time 0.102 (0.247)	Data 0.006 (0.185)	Loss 2.7153 (3.0164)	Prec@1 32.812 (30.043)	Prec@5 66.016 (59.109)
Epoch: [53][6620/7045]	Time 0.560 (0.247)	Data 0.509 (0.185)	Loss 3.1209 (3.0164)	Prec@1 29.688 (30.043)	Prec@5 55.078 (59.108)
Epoch: [53][6630/7045]	Time 0.225 (0.247)	Data 0.174 (0.185)	Loss 3.0621 (3.0165)	Prec@1 33.594 (30.042)	Prec@5 57.812 (59.105)
Epoch: [53][6640/7045]	Time 0.374 (0.247)	Data 0.323 (0.185)	Loss 2.9448 (3.0165)	Prec@1 31.641 (30.042)	Prec@5 63.672 (59.105)
Epoch: [53][6650/7045]	Time 0.570 (0.247)	Data 0.512 (0.185)	Loss 2.9731 (3.0165)	Prec@1 33.203 (30.043)	Prec@5 61.719 (59.106)
Epoch: [53][6660/7045]	Time 0.190 (0.247)	Data 0.138 (0.185)	Loss 2.9134 (3.0166)	Prec@1 32.422 (30.041)	Prec@5 63.281 (59.106)
Epoch: [53][6670/7045]	Time 0.449 (0.247)	Data 0.398 (0.185)	Loss 3.1401 (3.0165)	Prec@1 25.391 (30.042)	Prec@5 57.422 (59.107)
Epoch: [53][6680/7045]	Time 0.101 (0.247)	Data 0.001 (0.185)	Loss 2.9703 (3.0164)	Prec@1 31.250 (30.043)	Prec@5 57.812 (59.107)
Epoch: [53][6690/7045]	Time 0.103 (0.247)	Data 0.001 (0.185)	Loss 2.9389 (3.0164)	Prec@1 32.812 (30.042)	Prec@5 60.156 (59.107)
Epoch: [53][6700/7045]	Time 0.146 (0.247)	Data 0.095 (0.185)	Loss 3.0052 (3.0164)	Prec@1 30.859 (30.045)	Prec@5 58.203 (59.107)
Epoch: [53][6710/7045]	Time 0.100 (0.247)	Data 0.001 (0.185)	Loss 3.1200 (3.0165)	Prec@1 30.859 (30.044)	Prec@5 55.469 (59.106)
Epoch: [53][6720/7045]	Time 0.738 (0.247)	Data 0.687 (0.185)	Loss 3.3481 (3.0165)	Prec@1 28.906 (30.045)	Prec@5 52.344 (59.105)
Epoch: [53][6730/7045]	Time 0.112 (0.247)	Data 0.060 (0.185)	Loss 3.0449 (3.0164)	Prec@1 26.953 (30.044)	Prec@5 55.469 (59.105)
Epoch: [53][6740/7045]	Time 0.650 (0.247)	Data 0.599 (0.185)	Loss 3.0513 (3.0164)	Prec@1 28.906 (30.043)	Prec@5 58.984 (59.105)
Epoch: [53][6750/7045]	Time 0.102 (0.247)	Data 0.001 (0.185)	Loss 2.8700 (3.0163)	Prec@1 30.859 (30.044)	Prec@5 60.547 (59.108)
Epoch: [53][6760/7045]	Time 0.651 (0.247)	Data 0.600 (0.185)	Loss 2.8201 (3.0163)	Prec@1 36.328 (30.045)	Prec@5 63.281 (59.108)
Epoch: [53][6770/7045]	Time 0.102 (0.247)	Data 0.001 (0.185)	Loss 3.1818 (3.0163)	Prec@1 26.953 (30.045)	Prec@5 56.250 (59.107)
Epoch: [53][6780/7045]	Time 0.557 (0.247)	Data 0.504 (0.185)	Loss 3.1325 (3.0163)	Prec@1 25.391 (30.045)	Prec@5 56.250 (59.108)
Epoch: [53][6790/7045]	Time 0.102 (0.247)	Data 0.001 (0.185)	Loss 2.8373 (3.0161)	Prec@1 33.594 (30.048)	Prec@5 61.719 (59.109)
Epoch: [53][6800/7045]	Time 0.653 (0.247)	Data 0.603 (0.185)	Loss 2.9235 (3.0162)	Prec@1 30.469 (30.047)	Prec@5 60.156 (59.109)
Epoch: [53][6810/7045]	Time 0.100 (0.247)	Data 0.001 (0.185)	Loss 2.9664 (3.0160)	Prec@1 31.641 (30.047)	Prec@5 58.594 (59.112)
Epoch: [53][6820/7045]	Time 0.677 (0.247)	Data 0.624 (0.185)	Loss 2.9344 (3.0161)	Prec@1 31.250 (30.046)	Prec@5 58.203 (59.111)
Epoch: [53][6830/7045]	Time 0.108 (0.247)	Data 0.056 (0.185)	Loss 3.0968 (3.0161)	Prec@1 26.562 (30.046)	Prec@5 60.938 (59.112)
Epoch: [53][6840/7045]	Time 0.554 (0.247)	Data 0.504 (0.185)	Loss 3.1574 (3.0161)	Prec@1 26.953 (30.046)	Prec@5 51.172 (59.109)
Epoch: [53][6850/7045]	Time 0.101 (0.247)	Data 0.049 (0.185)	Loss 3.0764 (3.0161)	Prec@1 29.688 (30.046)	Prec@5 57.812 (59.110)
Epoch: [53][6860/7045]	Time 0.664 (0.247)	Data 0.613 (0.185)	Loss 3.0789 (3.0160)	Prec@1 30.859 (30.046)	Prec@5 57.031 (59.112)
Epoch: [53][6870/7045]	Time 0.102 (0.247)	Data 0.007 (0.185)	Loss 3.0526 (3.0161)	Prec@1 26.172 (30.044)	Prec@5 60.156 (59.109)
Epoch: [53][6880/7045]	Time 0.378 (0.247)	Data 0.320 (0.185)	Loss 3.0989 (3.0162)	Prec@1 28.906 (30.042)	Prec@5 58.594 (59.108)
Epoch: [53][6890/7045]	Time 0.102 (0.247)	Data 0.046 (0.185)	Loss 3.1709 (3.0163)	Prec@1 29.297 (30.041)	Prec@5 58.203 (59.106)
Epoch: [53][6900/7045]	Time 0.103 (0.247)	Data 0.001 (0.185)	Loss 3.0078 (3.0164)	Prec@1 33.594 (30.041)	Prec@5 58.203 (59.105)
Epoch: [53][6910/7045]	Time 0.102 (0.247)	Data 0.051 (0.185)	Loss 3.1095 (3.0164)	Prec@1 28.125 (30.041)	Prec@5 58.594 (59.104)
Epoch: [53][6920/7045]	Time 0.104 (0.247)	Data 0.050 (0.185)	Loss 2.7886 (3.0163)	Prec@1 35.156 (30.042)	Prec@5 61.328 (59.105)
Epoch: [53][6930/7045]	Time 0.665 (0.247)	Data 0.614 (0.185)	Loss 3.1398 (3.0163)	Prec@1 27.734 (30.042)	Prec@5 55.469 (59.105)
Epoch: [53][6940/7045]	Time 0.099 (0.247)	Data 0.001 (0.185)	Loss 3.0360 (3.0163)	Prec@1 35.547 (30.042)	Prec@5 60.547 (59.104)
Epoch: [53][6950/7045]	Time 0.563 (0.247)	Data 0.511 (0.185)	Loss 3.0346 (3.0162)	Prec@1 27.734 (30.046)	Prec@5 60.547 (59.107)
Epoch: [53][6960/7045]	Time 0.102 (0.247)	Data 0.001 (0.185)	Loss 3.1000 (3.0162)	Prec@1 28.125 (30.045)	Prec@5 58.984 (59.106)
Epoch: [53][6970/7045]	Time 0.181 (0.247)	Data 0.121 (0.185)	Loss 2.8196 (3.0163)	Prec@1 30.469 (30.043)	Prec@5 64.844 (59.107)
Epoch: [53][6980/7045]	Time 0.103 (0.247)	Data 0.001 (0.185)	Loss 2.9173 (3.0162)	Prec@1 30.469 (30.045)	Prec@5 60.938 (59.108)
Epoch: [53][6990/7045]	Time 0.174 (0.247)	Data 0.123 (0.185)	Loss 3.0279 (3.0163)	Prec@1 30.859 (30.045)	Prec@5 57.812 (59.106)
Epoch: [53][7000/7045]	Time 0.363 (0.247)	Data 0.313 (0.185)	Loss 3.0365 (3.0163)	Prec@1 32.031 (30.043)	Prec@5 59.375 (59.106)
Epoch: [53][7010/7045]	Time 0.215 (0.247)	Data 0.157 (0.185)	Loss 3.0134 (3.0163)	Prec@1 31.641 (30.043)	Prec@5 58.594 (59.104)
Epoch: [53][7020/7045]	Time 0.443 (0.247)	Data 0.392 (0.185)	Loss 2.9480 (3.0164)	Prec@1 31.641 (30.042)	Prec@5 62.500 (59.102)
Epoch: [53][7030/7045]	Time 0.343 (0.247)	Data 0.290 (0.185)	Loss 2.9295 (3.0164)	Prec@1 29.297 (30.042)	Prec@5 62.891 (59.102)
Epoch: [53][7040/7045]	Time 0.123 (0.247)	Data 0.071 (0.185)	Loss 2.8695 (3.0164)	Prec@1 33.984 (30.042)	Prec@5 61.719 (59.102)
Test: [0/143]	Time 1.251 (1.251)	Loss 2.5432 (2.5432)	Prec@1 36.328 (36.328)	Prec@5 71.875 (71.875)
Test: [10/143]	Time 0.061 (0.235)	Loss 2.2099 (2.5334)	Prec@1 47.266 (37.749)	Prec@5 75.781 (69.886)
Test: [20/143]	Time 0.313 (0.215)	Loss 2.7114 (2.4608)	Prec@1 37.891 (38.839)	Prec@5 67.188 (71.633)
Test: [30/143]	Time 0.053 (0.193)	Loss 2.7684 (2.4651)	Prec@1 35.547 (39.138)	Prec@5 59.766 (71.119)
Test: [40/143]	Time 0.101 (0.193)	Loss 3.0317 (2.4811)	Prec@1 20.312 (38.853)	Prec@5 58.203 (70.084)
Test: [50/143]	Time 0.049 (0.186)	Loss 2.2000 (2.5012)	Prec@1 43.359 (38.166)	Prec@5 77.734 (70.044)
Test: [60/143]	Time 0.108 (0.186)	Loss 2.6942 (2.4878)	Prec@1 28.516 (38.429)	Prec@5 66.406 (70.184)
Test: [70/143]	Time 0.260 (0.183)	Loss 3.2324 (2.4795)	Prec@1 22.266 (38.782)	Prec@5 55.859 (70.329)
Test: [80/143]	Time 0.059 (0.181)	Loss 2.5710 (2.4816)	Prec@1 33.984 (38.749)	Prec@5 69.531 (70.134)
Test: [90/143]	Time 0.408 (0.183)	Loss 2.1421 (2.4628)	Prec@1 48.438 (38.990)	Prec@5 81.641 (70.531)
Test: [100/143]	Time 0.127 (0.180)	Loss 2.1060 (2.4615)	Prec@1 44.922 (38.896)	Prec@5 83.984 (70.603)
Test: [110/143]	Time 0.049 (0.181)	Loss 2.2838 (2.4518)	Prec@1 47.266 (39.245)	Prec@5 71.484 (70.774)
Test: [120/143]	Time 0.076 (0.178)	Loss 2.0251 (2.4390)	Prec@1 54.688 (39.631)	Prec@5 79.688 (71.029)
Test: [130/143]	Time 0.273 (0.180)	Loss 1.9319 (2.4398)	Prec@1 55.469 (39.629)	Prec@5 73.438 (70.927)
Test: [140/143]	Time 0.194 (0.180)	Loss 3.0595 (2.4608)	Prec@1 26.172 (39.245)	Prec@5 60.547 (70.520)
 * Prec@1 39.258 Prec@5 70.575
Epoch: [54][0/7045]	Time 2.621 (2.621)	Data 2.562 (2.562)	Loss 3.0578 (3.0578)	Prec@1 29.688 (29.688)	Prec@5 57.812 (57.812)
Epoch: [54][10/7045]	Time 0.247 (0.439)	Data 0.196 (0.363)	Loss 2.8870 (2.9935)	Prec@1 28.516 (30.043)	Prec@5 64.844 (58.878)
Epoch: [54][20/7045]	Time 0.311 (0.361)	Data 0.260 (0.288)	Loss 3.1930 (3.0119)	Prec@1 25.391 (30.153)	Prec@5 51.953 (59.059)
Epoch: [54][30/7045]	Time 0.340 (0.325)	Data 0.289 (0.253)	Loss 3.0202 (2.9982)	Prec@1 28.516 (30.040)	Prec@5 57.812 (59.136)
Epoch: [54][40/7045]	Time 0.101 (0.310)	Data 0.001 (0.241)	Loss 3.0600 (2.9882)	Prec@1 28.906 (30.354)	Prec@5 58.984 (59.156)
Epoch: [54][50/7045]	Time 0.103 (0.293)	Data 0.051 (0.225)	Loss 3.1981 (2.9895)	Prec@1 28.516 (30.139)	Prec@5 53.906 (59.115)
Epoch: [54][60/7045]	Time 0.138 (0.286)	Data 0.088 (0.220)	Loss 2.8959 (2.9903)	Prec@1 31.641 (30.149)	Prec@5 61.719 (59.189)
Epoch: [54][70/7045]	Time 0.396 (0.286)	Data 0.338 (0.221)	Loss 2.9025 (2.9833)	Prec@1 33.203 (30.293)	Prec@5 58.984 (59.358)
Epoch: [54][80/7045]	Time 0.102 (0.278)	Data 0.001 (0.211)	Loss 2.8551 (2.9793)	Prec@1 37.109 (30.580)	Prec@5 59.766 (59.568)
Epoch: [54][90/7045]	Time 0.343 (0.276)	Data 0.290 (0.210)	Loss 2.8788 (2.9768)	Prec@1 35.547 (30.666)	Prec@5 62.891 (59.706)
Epoch: [54][100/7045]	Time 0.321 (0.273)	Data 0.261 (0.208)	Loss 2.9690 (2.9731)	Prec@1 30.469 (30.604)	Prec@5 60.156 (59.723)
Epoch: [54][110/7045]	Time 0.233 (0.270)	Data 0.182 (0.206)	Loss 3.1206 (2.9785)	Prec@1 29.688 (30.469)	Prec@5 58.203 (59.709)
Epoch: [54][120/7045]	Time 0.342 (0.269)	Data 0.290 (0.205)	Loss 2.7955 (2.9802)	Prec@1 33.984 (30.495)	Prec@5 61.719 (59.685)
Epoch: [54][130/7045]	Time 0.249 (0.268)	Data 0.199 (0.204)	Loss 2.9985 (2.9807)	Prec@1 36.328 (30.549)	Prec@5 57.422 (59.646)
Epoch: [54][140/7045]	Time 0.229 (0.266)	Data 0.178 (0.203)	Loss 2.8693 (2.9763)	Prec@1 34.766 (30.688)	Prec@5 62.500 (59.743)
Epoch: [54][150/7045]	Time 0.101 (0.265)	Data 0.001 (0.201)	Loss 3.0565 (2.9756)	Prec@1 33.203 (30.746)	Prec@5 57.812 (59.779)
Epoch: [54][160/7045]	Time 0.335 (0.264)	Data 0.283 (0.201)	Loss 2.8980 (2.9765)	Prec@1 27.344 (30.731)	Prec@5 62.500 (59.763)
Epoch: [54][170/7045]	Time 0.438 (0.264)	Data 0.388 (0.201)	Loss 2.8913 (2.9743)	Prec@1 31.641 (30.743)	Prec@5 61.328 (59.804)
Epoch: [54][180/7045]	Time 0.371 (0.263)	Data 0.320 (0.201)	Loss 2.7756 (2.9716)	Prec@1 37.500 (30.797)	Prec@5 63.281 (59.932)
Epoch: [54][190/7045]	Time 0.122 (0.261)	Data 0.070 (0.199)	Loss 2.8921 (2.9705)	Prec@1 32.031 (30.800)	Prec@5 63.672 (59.958)
Epoch: [54][200/7045]	Time 0.215 (0.262)	Data 0.165 (0.200)	Loss 3.0733 (2.9737)	Prec@1 32.812 (30.714)	Prec@5 58.984 (59.890)
Epoch: [54][210/7045]	Time 0.101 (0.260)	Data 0.001 (0.198)	Loss 3.2135 (2.9772)	Prec@1 26.172 (30.609)	Prec@5 54.297 (59.825)
Epoch: [54][220/7045]	Time 0.403 (0.261)	Data 0.353 (0.199)	Loss 2.9072 (2.9739)	Prec@1 32.422 (30.676)	Prec@5 63.281 (59.843)
Epoch: [54][230/7045]	Time 0.622 (0.261)	Data 0.571 (0.198)	Loss 3.0093 (2.9743)	Prec@1 29.688 (30.656)	Prec@5 61.719 (59.865)
Epoch: [54][240/7045]	Time 0.109 (0.259)	Data 0.056 (0.197)	Loss 3.0033 (2.9733)	Prec@1 32.812 (30.676)	Prec@5 55.469 (59.873)
Epoch: [54][250/7045]	Time 0.399 (0.259)	Data 0.347 (0.197)	Loss 2.8721 (2.9709)	Prec@1 30.469 (30.704)	Prec@5 62.891 (59.917)
Epoch: [54][260/7045]	Time 0.177 (0.258)	Data 0.127 (0.196)	Loss 2.8734 (2.9696)	Prec@1 29.297 (30.704)	Prec@5 62.109 (59.923)
Epoch: [54][270/7045]	Time 0.475 (0.258)	Data 0.424 (0.196)	Loss 2.8274 (2.9688)	Prec@1 30.078 (30.709)	Prec@5 62.891 (59.924)
Epoch: [54][280/7045]	Time 0.134 (0.257)	Data 0.083 (0.196)	Loss 2.9143 (2.9689)	Prec@1 31.641 (30.708)	Prec@5 61.328 (59.896)
Epoch: [54][290/7045]	Time 0.254 (0.258)	Data 0.203 (0.196)	Loss 3.0266 (2.9686)	Prec@1 31.641 (30.686)	Prec@5 57.422 (59.915)
Epoch: [54][300/7045]	Time 0.109 (0.257)	Data 0.057 (0.195)	Loss 2.9031 (2.9673)	Prec@1 32.031 (30.700)	Prec@5 61.719 (59.934)
Epoch: [54][310/7045]	Time 0.433 (0.258)	Data 0.381 (0.196)	Loss 2.8290 (2.9667)	Prec@1 33.203 (30.741)	Prec@5 64.453 (59.943)
Epoch: [54][320/7045]	Time 0.109 (0.258)	Data 0.001 (0.196)	Loss 2.9891 (2.9681)	Prec@1 33.984 (30.690)	Prec@5 58.984 (59.914)
Epoch: [54][330/7045]	Time 0.101 (0.257)	Data 0.002 (0.194)	Loss 3.1248 (2.9695)	Prec@1 27.344 (30.668)	Prec@5 55.469 (59.856)
Epoch: [54][340/7045]	Time 0.108 (0.257)	Data 0.055 (0.195)	Loss 3.0974 (2.9704)	Prec@1 29.297 (30.667)	Prec@5 59.375 (59.846)
Epoch: [54][350/7045]	Time 0.898 (0.259)	Data 0.847 (0.196)	Loss 3.1278 (2.9709)	Prec@1 31.250 (30.690)	Prec@5 61.719 (59.851)
Epoch: [54][360/7045]	Time 0.134 (0.257)	Data 0.082 (0.194)	Loss 3.1854 (2.9716)	Prec@1 26.172 (30.677)	Prec@5 57.031 (59.824)
Epoch: [54][370/7045]	Time 0.483 (0.257)	Data 0.433 (0.194)	Loss 2.9667 (2.9736)	Prec@1 32.031 (30.650)	Prec@5 61.719 (59.785)
Epoch: [54][380/7045]	Time 0.424 (0.257)	Data 0.367 (0.194)	Loss 3.0094 (2.9736)	Prec@1 28.516 (30.649)	Prec@5 60.938 (59.780)
Epoch: [54][390/7045]	Time 0.169 (0.257)	Data 0.117 (0.194)	Loss 2.8706 (2.9746)	Prec@1 30.078 (30.622)	Prec@5 58.984 (59.745)
Epoch: [54][400/7045]	Time 0.430 (0.257)	Data 0.379 (0.194)	Loss 3.0715 (2.9751)	Prec@1 28.125 (30.583)	Prec@5 58.984 (59.740)
Epoch: [54][410/7045]	Time 0.193 (0.256)	Data 0.142 (0.193)	Loss 3.1072 (2.9761)	Prec@1 31.641 (30.580)	Prec@5 58.984 (59.718)
Epoch: [54][420/7045]	Time 0.149 (0.257)	Data 0.097 (0.194)	Loss 3.1715 (2.9766)	Prec@1 28.906 (30.581)	Prec@5 55.469 (59.715)
Epoch: [54][430/7045]	Time 0.102 (0.256)	Data 0.001 (0.193)	Loss 3.1542 (2.9760)	Prec@1 28.906 (30.593)	Prec@5 57.031 (59.740)
Epoch: [54][440/7045]	Time 0.208 (0.256)	Data 0.157 (0.194)	Loss 2.9994 (2.9777)	Prec@1 34.766 (30.556)	Prec@5 57.422 (59.681)
Epoch: [54][450/7045]	Time 0.237 (0.256)	Data 0.187 (0.193)	Loss 3.1552 (2.9793)	Prec@1 27.734 (30.504)	Prec@5 57.031 (59.656)
Epoch: [54][460/7045]	Time 0.357 (0.256)	Data 0.306 (0.193)	Loss 3.1473 (2.9802)	Prec@1 27.344 (30.485)	Prec@5 56.250 (59.655)
Epoch: [54][470/7045]	Time 0.306 (0.257)	Data 0.248 (0.194)	Loss 3.0621 (2.9807)	Prec@1 33.203 (30.498)	Prec@5 57.422 (59.641)
Epoch: [54][480/7045]	Time 0.102 (0.256)	Data 0.001 (0.193)	Loss 2.8726 (2.9799)	Prec@1 32.422 (30.513)	Prec@5 60.547 (59.651)
Epoch: [54][490/7045]	Time 0.132 (0.256)	Data 0.081 (0.193)	Loss 2.9887 (2.9811)	Prec@1 32.812 (30.512)	Prec@5 61.328 (59.652)
Epoch: [54][500/7045]	Time 0.467 (0.256)	Data 0.416 (0.193)	Loss 2.9877 (2.9809)	Prec@1 30.078 (30.516)	Prec@5 61.328 (59.688)
Epoch: [54][510/7045]	Time 0.110 (0.256)	Data 0.058 (0.193)	Loss 3.0060 (2.9811)	Prec@1 28.516 (30.494)	Prec@5 58.203 (59.661)
Epoch: [54][520/7045]	Time 0.101 (0.256)	Data 0.001 (0.193)	Loss 3.1551 (2.9817)	Prec@1 27.734 (30.481)	Prec@5 55.859 (59.667)
Epoch: [54][530/7045]	Time 0.255 (0.256)	Data 0.205 (0.193)	Loss 3.0918 (2.9822)	Prec@1 28.125 (30.479)	Prec@5 57.031 (59.649)
Epoch: [54][540/7045]	Time 0.489 (0.256)	Data 0.437 (0.193)	Loss 3.1995 (2.9833)	Prec@1 24.609 (30.454)	Prec@5 53.906 (59.638)
Epoch: [54][550/7045]	Time 0.226 (0.256)	Data 0.175 (0.193)	Loss 2.9295 (2.9830)	Prec@1 31.250 (30.464)	Prec@5 56.250 (59.636)
Epoch: [54][560/7045]	Time 0.179 (0.256)	Data 0.127 (0.193)	Loss 2.9864 (2.9820)	Prec@1 29.688 (30.488)	Prec@5 58.203 (59.681)
Epoch: [54][570/7045]	Time 0.323 (0.256)	Data 0.272 (0.193)	Loss 3.0955 (2.9820)	Prec@1 27.344 (30.484)	Prec@5 60.156 (59.684)
Epoch: [54][580/7045]	Time 0.253 (0.256)	Data 0.202 (0.193)	Loss 3.2006 (2.9836)	Prec@1 27.734 (30.467)	Prec@5 53.516 (59.657)
Epoch: [54][590/7045]	Time 0.102 (0.256)	Data 0.007 (0.193)	Loss 3.0460 (2.9836)	Prec@1 26.562 (30.478)	Prec@5 59.375 (59.661)
Epoch: [54][600/7045]	Time 0.102 (0.255)	Data 0.001 (0.193)	Loss 3.0925 (2.9833)	Prec@1 30.469 (30.488)	Prec@5 56.250 (59.667)
Epoch: [54][610/7045]	Time 0.226 (0.256)	Data 0.168 (0.193)	Loss 3.0199 (2.9840)	Prec@1 28.125 (30.487)	Prec@5 58.203 (59.664)
Epoch: [54][620/7045]	Time 0.616 (0.256)	Data 0.566 (0.194)	Loss 3.0681 (2.9847)	Prec@1 34.766 (30.466)	Prec@5 58.984 (59.640)
Epoch: [54][630/7045]	Time 0.102 (0.255)	Data 0.005 (0.193)	Loss 2.9238 (2.9851)	Prec@1 34.375 (30.460)	Prec@5 61.328 (59.631)
Epoch: [54][640/7045]	Time 0.418 (0.256)	Data 0.361 (0.193)	Loss 2.9898 (2.9863)	Prec@1 28.516 (30.438)	Prec@5 62.500 (59.603)
Epoch: [54][650/7045]	Time 0.494 (0.256)	Data 0.443 (0.193)	Loss 3.1273 (2.9866)	Prec@1 28.125 (30.427)	Prec@5 55.078 (59.604)
Epoch: [54][660/7045]	Time 0.108 (0.255)	Data 0.055 (0.193)	Loss 2.9490 (2.9864)	Prec@1 29.297 (30.437)	Prec@5 59.766 (59.611)
Epoch: [54][670/7045]	Time 0.665 (0.256)	Data 0.613 (0.193)	Loss 2.9258 (2.9860)	Prec@1 28.906 (30.427)	Prec@5 59.766 (59.626)
Epoch: [54][680/7045]	Time 0.100 (0.255)	Data 0.001 (0.192)	Loss 2.9891 (2.9864)	Prec@1 29.297 (30.426)	Prec@5 61.328 (59.610)
Epoch: [54][690/7045]	Time 0.488 (0.255)	Data 0.436 (0.192)	Loss 3.0848 (2.9874)	Prec@1 28.516 (30.400)	Prec@5 57.812 (59.590)
Epoch: [54][700/7045]	Time 0.174 (0.255)	Data 0.122 (0.192)	Loss 2.9503 (2.9869)	Prec@1 31.641 (30.397)	Prec@5 58.594 (59.590)
Epoch: [54][710/7045]	Time 0.260 (0.255)	Data 0.208 (0.192)	Loss 2.9578 (2.9872)	Prec@1 29.297 (30.377)	Prec@5 61.719 (59.583)
Epoch: [54][720/7045]	Time 0.102 (0.255)	Data 0.001 (0.192)	Loss 2.8379 (2.9873)	Prec@1 27.734 (30.385)	Prec@5 59.766 (59.584)
Epoch: [54][730/7045]	Time 0.194 (0.255)	Data 0.143 (0.192)	Loss 2.9843 (2.9863)	Prec@1 34.375 (30.393)	Prec@5 55.859 (59.588)
Epoch: [54][740/7045]	Time 0.328 (0.255)	Data 0.277 (0.192)	Loss 3.2438 (2.9860)	Prec@1 27.344 (30.398)	Prec@5 53.906 (59.581)
Epoch: [54][750/7045]	Time 0.278 (0.255)	Data 0.227 (0.192)	Loss 2.5953 (2.9855)	Prec@1 36.719 (30.405)	Prec@5 66.797 (59.597)
Epoch: [54][760/7045]	Time 0.585 (0.255)	Data 0.535 (0.192)	Loss 3.0368 (2.9858)	Prec@1 29.297 (30.390)	Prec@5 60.938 (59.601)
Epoch: [54][770/7045]	Time 0.106 (0.254)	Data 0.053 (0.191)	Loss 2.8656 (2.9858)	Prec@1 33.984 (30.387)	Prec@5 59.766 (59.592)
Epoch: [54][780/7045]	Time 0.398 (0.254)	Data 0.347 (0.191)	Loss 2.8540 (2.9855)	Prec@1 35.547 (30.425)	Prec@5 65.234 (59.595)
Epoch: [54][790/7045]	Time 0.218 (0.254)	Data 0.165 (0.191)	Loss 3.0738 (2.9850)	Prec@1 25.781 (30.444)	Prec@5 58.984 (59.596)
Epoch: [54][800/7045]	Time 0.319 (0.254)	Data 0.269 (0.191)	Loss 3.1148 (2.9853)	Prec@1 30.078 (30.439)	Prec@5 57.812 (59.589)
Epoch: [54][810/7045]	Time 0.145 (0.254)	Data 0.093 (0.191)	Loss 2.9434 (2.9850)	Prec@1 32.812 (30.443)	Prec@5 62.500 (59.598)
Epoch: [54][820/7045]	Time 0.280 (0.254)	Data 0.228 (0.191)	Loss 3.0163 (2.9850)	Prec@1 26.562 (30.448)	Prec@5 58.203 (59.591)
Epoch: [54][830/7045]	Time 0.102 (0.254)	Data 0.001 (0.191)	Loss 2.9808 (2.9849)	Prec@1 27.344 (30.444)	Prec@5 60.547 (59.595)
Epoch: [54][840/7045]	Time 0.475 (0.254)	Data 0.424 (0.191)	Loss 2.6991 (2.9841)	Prec@1 34.766 (30.460)	Prec@5 64.453 (59.610)
Epoch: [54][850/7045]	Time 0.375 (0.254)	Data 0.324 (0.191)	Loss 2.8637 (2.9841)	Prec@1 29.688 (30.461)	Prec@5 60.547 (59.612)
Epoch: [54][860/7045]	Time 0.115 (0.253)	Data 0.063 (0.191)	Loss 3.1341 (2.9845)	Prec@1 27.734 (30.461)	Prec@5 59.375 (59.607)
Epoch: [54][870/7045]	Time 0.223 (0.253)	Data 0.172 (0.190)	Loss 3.0792 (2.9840)	Prec@1 26.562 (30.466)	Prec@5 58.594 (59.619)
Epoch: [54][880/7045]	Time 0.101 (0.253)	Data 0.046 (0.190)	Loss 3.0569 (2.9847)	Prec@1 29.297 (30.459)	Prec@5 58.984 (59.615)
Epoch: [54][890/7045]	Time 0.175 (0.253)	Data 0.124 (0.190)	Loss 2.9268 (2.9842)	Prec@1 29.688 (30.471)	Prec@5 57.031 (59.619)
Epoch: [54][900/7045]	Time 0.103 (0.253)	Data 0.052 (0.190)	Loss 2.8999 (2.9849)	Prec@1 29.688 (30.451)	Prec@5 60.156 (59.606)
Epoch: [54][910/7045]	Time 0.627 (0.253)	Data 0.576 (0.191)	Loss 2.9324 (2.9848)	Prec@1 33.203 (30.457)	Prec@5 59.375 (59.607)
Epoch: [54][920/7045]	Time 0.313 (0.253)	Data 0.261 (0.190)	Loss 3.2043 (2.9858)	Prec@1 28.516 (30.448)	Prec@5 55.859 (59.593)
Epoch: [54][930/7045]	Time 0.437 (0.253)	Data 0.381 (0.190)	Loss 3.0255 (2.9859)	Prec@1 30.859 (30.443)	Prec@5 58.984 (59.597)
Epoch: [54][940/7045]	Time 0.228 (0.253)	Data 0.178 (0.190)	Loss 3.2143 (2.9863)	Prec@1 23.047 (30.443)	Prec@5 55.469 (59.595)
Epoch: [54][950/7045]	Time 0.117 (0.253)	Data 0.065 (0.190)	Loss 3.1512 (2.9874)	Prec@1 28.906 (30.433)	Prec@5 57.031 (59.575)
Epoch: [54][960/7045]	Time 0.147 (0.253)	Data 0.096 (0.190)	Loss 3.0435 (2.9878)	Prec@1 28.125 (30.418)	Prec@5 58.594 (59.569)
Epoch: [54][970/7045]	Time 0.108 (0.253)	Data 0.001 (0.190)	Loss 3.0809 (2.9883)	Prec@1 31.641 (30.409)	Prec@5 56.250 (59.569)
Epoch: [54][980/7045]	Time 0.540 (0.253)	Data 0.490 (0.190)	Loss 2.9413 (2.9880)	Prec@1 31.641 (30.412)	Prec@5 62.109 (59.587)
Epoch: [54][990/7045]	Time 0.101 (0.253)	Data 0.046 (0.190)	Loss 3.1538 (2.9881)	Prec@1 30.078 (30.419)	Prec@5 55.078 (59.588)
Epoch: [54][1000/7045]	Time 0.102 (0.253)	Data 0.007 (0.190)	Loss 2.9955 (2.9882)	Prec@1 28.906 (30.415)	Prec@5 61.328 (59.592)
Epoch: [54][1010/7045]	Time 0.103 (0.253)	Data 0.001 (0.190)	Loss 2.9317 (2.9878)	Prec@1 32.031 (30.420)	Prec@5 59.766 (59.599)
Epoch: [54][1020/7045]	Time 0.251 (0.253)	Data 0.200 (0.190)	Loss 3.0569 (2.9879)	Prec@1 28.516 (30.419)	Prec@5 56.250 (59.596)
Epoch: [54][1030/7045]	Time 0.490 (0.253)	Data 0.432 (0.190)	Loss 2.9898 (2.9881)	Prec@1 29.297 (30.414)	Prec@5 59.375 (59.596)
Epoch: [54][1040/7045]	Time 0.103 (0.253)	Data 0.001 (0.190)	Loss 3.0368 (2.9878)	Prec@1 27.734 (30.420)	Prec@5 60.547 (59.602)
Epoch: [54][1050/7045]	Time 0.312 (0.253)	Data 0.261 (0.190)	Loss 3.0332 (2.9878)	Prec@1 28.125 (30.424)	Prec@5 55.078 (59.601)
Epoch: [54][1060/7045]	Time 0.262 (0.253)	Data 0.210 (0.190)	Loss 2.7547 (2.9885)	Prec@1 33.203 (30.417)	Prec@5 64.844 (59.587)
Epoch: [54][1070/7045]	Time 0.267 (0.253)	Data 0.216 (0.190)	Loss 2.9671 (2.9887)	Prec@1 29.297 (30.418)	Prec@5 64.062 (59.593)
Epoch: [54][1080/7045]	Time 0.388 (0.253)	Data 0.337 (0.190)	Loss 2.9128 (2.9884)	Prec@1 30.469 (30.421)	Prec@5 60.156 (59.603)
Epoch: [54][1090/7045]	Time 0.111 (0.253)	Data 0.001 (0.190)	Loss 3.0670 (2.9884)	Prec@1 28.125 (30.416)	Prec@5 54.688 (59.594)
Epoch: [54][1100/7045]	Time 0.241 (0.253)	Data 0.188 (0.190)	Loss 2.9955 (2.9887)	Prec@1 31.641 (30.414)	Prec@5 57.812 (59.589)
Epoch: [54][1110/7045]	Time 0.279 (0.253)	Data 0.228 (0.190)	Loss 2.9635 (2.9886)	Prec@1 31.641 (30.418)	Prec@5 59.375 (59.599)
Epoch: [54][1120/7045]	Time 0.272 (0.253)	Data 0.221 (0.190)	Loss 2.8502 (2.9883)	Prec@1 30.469 (30.419)	Prec@5 61.719 (59.600)
Epoch: [54][1130/7045]	Time 0.316 (0.253)	Data 0.263 (0.191)	Loss 3.2182 (2.9889)	Prec@1 24.609 (30.413)	Prec@5 55.469 (59.596)
Epoch: [54][1140/7045]	Time 0.103 (0.253)	Data 0.017 (0.190)	Loss 3.0490 (2.9891)	Prec@1 32.031 (30.417)	Prec@5 60.547 (59.595)
Epoch: [54][1150/7045]	Time 0.212 (0.253)	Data 0.160 (0.190)	Loss 3.1458 (2.9891)	Prec@1 28.125 (30.406)	Prec@5 56.641 (59.595)
Epoch: [54][1160/7045]	Time 0.110 (0.253)	Data 0.001 (0.191)	Loss 3.1679 (2.9895)	Prec@1 26.172 (30.404)	Prec@5 57.422 (59.589)
Epoch: [54][1170/7045]	Time 0.104 (0.253)	Data 0.052 (0.190)	Loss 3.0965 (2.9901)	Prec@1 27.344 (30.390)	Prec@5 55.469 (59.575)
Epoch: [54][1180/7045]	Time 0.242 (0.253)	Data 0.191 (0.191)	Loss 3.3204 (2.9902)	Prec@1 26.562 (30.383)	Prec@5 51.562 (59.564)
Epoch: [54][1190/7045]	Time 0.106 (0.253)	Data 0.054 (0.191)	Loss 2.9163 (2.9899)	Prec@1 31.250 (30.388)	Prec@5 60.156 (59.580)
Epoch: [54][1200/7045]	Time 0.838 (0.254)	Data 0.779 (0.191)	Loss 2.9881 (2.9901)	Prec@1 30.859 (30.378)	Prec@5 60.547 (59.569)
Epoch: [54][1210/7045]	Time 0.377 (0.254)	Data 0.326 (0.191)	Loss 2.9006 (2.9900)	Prec@1 30.078 (30.374)	Prec@5 62.500 (59.571)
Epoch: [54][1220/7045]	Time 0.110 (0.254)	Data 0.058 (0.191)	Loss 2.9904 (2.9901)	Prec@1 31.250 (30.386)	Prec@5 60.547 (59.572)
Epoch: [54][1230/7045]	Time 0.756 (0.254)	Data 0.706 (0.191)	Loss 2.9369 (2.9902)	Prec@1 32.031 (30.379)	Prec@5 62.500 (59.571)
Epoch: [54][1240/7045]	Time 0.107 (0.254)	Data 0.001 (0.191)	Loss 3.0190 (2.9910)	Prec@1 28.906 (30.367)	Prec@5 59.375 (59.553)
Epoch: [54][1250/7045]	Time 0.216 (0.254)	Data 0.166 (0.191)	Loss 3.0574 (2.9906)	Prec@1 24.219 (30.367)	Prec@5 59.375 (59.570)
Epoch: [54][1260/7045]	Time 0.641 (0.254)	Data 0.590 (0.191)	Loss 2.9970 (2.9907)	Prec@1 29.297 (30.368)	Prec@5 62.891 (59.574)
Epoch: [54][1270/7045]	Time 0.102 (0.254)	Data 0.006 (0.191)	Loss 2.8801 (2.9902)	Prec@1 32.812 (30.376)	Prec@5 64.453 (59.584)
Epoch: [54][1280/7045]	Time 0.380 (0.254)	Data 0.330 (0.191)	Loss 3.2604 (2.9906)	Prec@1 24.609 (30.366)	Prec@5 52.734 (59.584)
Epoch: [54][1290/7045]	Time 0.495 (0.254)	Data 0.445 (0.191)	Loss 3.1188 (2.9907)	Prec@1 28.516 (30.357)	Prec@5 61.328 (59.590)
Epoch: [54][1300/7045]	Time 0.184 (0.254)	Data 0.133 (0.191)	Loss 3.3872 (2.9909)	Prec@1 26.562 (30.365)	Prec@5 48.828 (59.585)
Epoch: [54][1310/7045]	Time 0.338 (0.254)	Data 0.286 (0.191)	Loss 2.9915 (2.9907)	Prec@1 33.984 (30.362)	Prec@5 58.594 (59.590)
Epoch: [54][1320/7045]	Time 0.290 (0.254)	Data 0.238 (0.191)	Loss 2.9379 (2.9906)	Prec@1 32.422 (30.357)	Prec@5 60.156 (59.590)
Epoch: [54][1330/7045]	Time 0.221 (0.254)	Data 0.169 (0.191)	Loss 2.9536 (2.9906)	Prec@1 26.953 (30.359)	Prec@5 60.938 (59.592)
Epoch: [54][1340/7045]	Time 0.644 (0.254)	Data 0.592 (0.191)	Loss 2.8820 (2.9914)	Prec@1 33.203 (30.354)	Prec@5 58.594 (59.575)
Epoch: [54][1350/7045]	Time 0.102 (0.254)	Data 0.001 (0.191)	Loss 3.2736 (2.9917)	Prec@1 25.781 (30.348)	Prec@5 53.906 (59.564)
Epoch: [54][1360/7045]	Time 0.436 (0.254)	Data 0.385 (0.191)	Loss 2.9887 (2.9914)	Prec@1 28.906 (30.351)	Prec@5 57.812 (59.560)
Epoch: [54][1370/7045]	Time 0.103 (0.254)	Data 0.001 (0.191)	Loss 3.0938 (2.9914)	Prec@1 25.781 (30.356)	Prec@5 58.594 (59.556)
Epoch: [54][1380/7045]	Time 0.258 (0.254)	Data 0.201 (0.191)	Loss 3.0006 (2.9915)	Prec@1 30.859 (30.355)	Prec@5 58.984 (59.552)
Epoch: [54][1390/7045]	Time 0.744 (0.254)	Data 0.692 (0.191)	Loss 3.0576 (2.9913)	Prec@1 27.734 (30.355)	Prec@5 58.203 (59.558)
Epoch: [54][1400/7045]	Time 0.110 (0.254)	Data 0.013 (0.191)	Loss 2.9964 (2.9915)	Prec@1 28.906 (30.358)	Prec@5 60.156 (59.557)
Epoch: [54][1410/7045]	Time 0.410 (0.254)	Data 0.352 (0.191)	Loss 3.1275 (2.9923)	Prec@1 27.344 (30.348)	Prec@5 55.078 (59.549)
Epoch: [54][1420/7045]	Time 0.102 (0.254)	Data 0.007 (0.191)	Loss 2.8755 (2.9920)	Prec@1 28.125 (30.352)	Prec@5 62.109 (59.554)
Epoch: [54][1430/7045]	Time 0.266 (0.254)	Data 0.208 (0.191)	Loss 2.9728 (2.9925)	Prec@1 30.469 (30.342)	Prec@5 60.547 (59.543)
Epoch: [54][1440/7045]	Time 0.365 (0.254)	Data 0.313 (0.191)	Loss 2.8314 (2.9919)	Prec@1 31.250 (30.348)	Prec@5 60.156 (59.552)
Epoch: [54][1450/7045]	Time 0.130 (0.254)	Data 0.079 (0.191)	Loss 2.8805 (2.9923)	Prec@1 31.641 (30.343)	Prec@5 64.062 (59.547)
Epoch: [54][1460/7045]	Time 0.226 (0.254)	Data 0.174 (0.191)	Loss 2.9088 (2.9929)	Prec@1 36.328 (30.333)	Prec@5 60.156 (59.532)
Epoch: [54][1470/7045]	Time 0.550 (0.254)	Data 0.489 (0.191)	Loss 2.9415 (2.9925)	Prec@1 32.422 (30.340)	Prec@5 58.984 (59.539)
Epoch: [54][1480/7045]	Time 0.101 (0.254)	Data 0.001 (0.191)	Loss 3.0230 (2.9922)	Prec@1 28.906 (30.334)	Prec@5 57.422 (59.544)
Epoch: [54][1490/7045]	Time 0.380 (0.254)	Data 0.328 (0.191)	Loss 2.8023 (2.9921)	Prec@1 34.375 (30.342)	Prec@5 62.891 (59.541)
Epoch: [54][1500/7045]	Time 0.799 (0.254)	Data 0.748 (0.191)	Loss 3.0894 (2.9925)	Prec@1 30.469 (30.339)	Prec@5 58.594 (59.536)
Epoch: [54][1510/7045]	Time 0.342 (0.254)	Data 0.292 (0.191)	Loss 2.9196 (2.9927)	Prec@1 35.156 (30.346)	Prec@5 60.156 (59.534)
Epoch: [54][1520/7045]	Time 0.239 (0.254)	Data 0.188 (0.191)	Loss 2.9291 (2.9925)	Prec@1 27.344 (30.346)	Prec@5 62.109 (59.533)
Epoch: [54][1530/7045]	Time 0.356 (0.254)	Data 0.303 (0.191)	Loss 3.0090 (2.9925)	Prec@1 31.250 (30.347)	Prec@5 60.156 (59.532)
Epoch: [54][1540/7045]	Time 0.568 (0.254)	Data 0.517 (0.191)	Loss 2.8945 (2.9926)	Prec@1 30.469 (30.349)	Prec@5 57.812 (59.529)
Epoch: [54][1550/7045]	Time 0.101 (0.254)	Data 0.001 (0.191)	Loss 3.1541 (2.9930)	Prec@1 27.344 (30.336)	Prec@5 56.250 (59.520)
Epoch: [54][1560/7045]	Time 0.219 (0.254)	Data 0.168 (0.191)	Loss 3.1450 (2.9931)	Prec@1 26.172 (30.332)	Prec@5 58.203 (59.523)
Epoch: [54][1570/7045]	Time 0.326 (0.254)	Data 0.275 (0.191)	Loss 2.8528 (2.9929)	Prec@1 31.250 (30.332)	Prec@5 63.281 (59.524)
Epoch: [54][1580/7045]	Time 0.209 (0.254)	Data 0.155 (0.191)	Loss 3.2062 (2.9926)	Prec@1 23.438 (30.334)	Prec@5 57.812 (59.529)
Epoch: [54][1590/7045]	Time 0.487 (0.254)	Data 0.429 (0.191)	Loss 3.0570 (2.9927)	Prec@1 30.078 (30.329)	Prec@5 58.203 (59.526)
Epoch: [54][1600/7045]	Time 0.101 (0.254)	Data 0.001 (0.191)	Loss 2.8742 (2.9927)	Prec@1 33.594 (30.329)	Prec@5 65.625 (59.533)
Epoch: [54][1610/7045]	Time 0.185 (0.254)	Data 0.134 (0.191)	Loss 3.0323 (2.9928)	Prec@1 33.203 (30.333)	Prec@5 57.422 (59.522)
Epoch: [54][1620/7045]	Time 0.107 (0.254)	Data 0.054 (0.191)	Loss 3.0061 (2.9932)	Prec@1 29.688 (30.330)	Prec@5 60.156 (59.512)
Epoch: [54][1630/7045]	Time 0.304 (0.254)	Data 0.254 (0.191)	Loss 3.1597 (2.9931)	Prec@1 30.859 (30.338)	Prec@5 57.812 (59.519)
Epoch: [54][1640/7045]	Time 0.365 (0.254)	Data 0.314 (0.191)	Loss 3.2115 (2.9934)	Prec@1 26.172 (30.341)	Prec@5 54.688 (59.509)
Epoch: [54][1650/7045]	Time 0.168 (0.254)	Data 0.118 (0.191)	Loss 3.1500 (2.9935)	Prec@1 25.391 (30.335)	Prec@5 55.078 (59.510)
Epoch: [54][1660/7045]	Time 0.503 (0.254)	Data 0.451 (0.191)	Loss 3.0342 (2.9938)	Prec@1 30.078 (30.338)	Prec@5 60.547 (59.504)
Epoch: [54][1670/7045]	Time 0.168 (0.254)	Data 0.117 (0.191)	Loss 3.1197 (2.9937)	Prec@1 26.172 (30.346)	Prec@5 56.641 (59.499)
Epoch: [54][1680/7045]	Time 0.439 (0.254)	Data 0.386 (0.191)	Loss 2.9303 (2.9942)	Prec@1 32.422 (30.336)	Prec@5 64.844 (59.492)
Epoch: [54][1690/7045]	Time 0.111 (0.254)	Data 0.001 (0.191)	Loss 3.2341 (2.9939)	Prec@1 28.125 (30.340)	Prec@5 56.250 (59.496)
Epoch: [54][1700/7045]	Time 0.160 (0.254)	Data 0.108 (0.191)	Loss 2.9032 (2.9939)	Prec@1 33.203 (30.343)	Prec@5 58.203 (59.493)
Epoch: [54][1710/7045]	Time 0.102 (0.254)	Data 0.002 (0.191)	Loss 2.8587 (2.9932)	Prec@1 28.516 (30.350)	Prec@5 63.672 (59.505)
Epoch: [54][1720/7045]	Time 0.739 (0.254)	Data 0.687 (0.191)	Loss 3.0819 (2.9931)	Prec@1 29.688 (30.358)	Prec@5 60.156 (59.511)
Epoch: [54][1730/7045]	Time 0.242 (0.254)	Data 0.192 (0.191)	Loss 3.0309 (2.9932)	Prec@1 30.859 (30.357)	Prec@5 57.812 (59.512)
Epoch: [54][1740/7045]	Time 0.132 (0.254)	Data 0.081 (0.191)	Loss 3.2038 (2.9933)	Prec@1 26.562 (30.358)	Prec@5 57.031 (59.516)
Epoch: [54][1750/7045]	Time 0.102 (0.254)	Data 0.001 (0.191)	Loss 2.6785 (2.9934)	Prec@1 34.766 (30.354)	Prec@5 64.453 (59.515)
Epoch: [54][1760/7045]	Time 0.169 (0.254)	Data 0.117 (0.191)	Loss 3.1147 (2.9936)	Prec@1 25.781 (30.349)	Prec@5 56.250 (59.512)
Epoch: [54][1770/7045]	Time 0.877 (0.254)	Data 0.819 (0.191)	Loss 2.8810 (2.9936)	Prec@1 32.812 (30.350)	Prec@5 58.203 (59.510)
Epoch: [54][1780/7045]	Time 0.347 (0.254)	Data 0.295 (0.191)	Loss 3.3497 (2.9940)	Prec@1 23.047 (30.346)	Prec@5 53.516 (59.503)
Epoch: [54][1790/7045]	Time 0.107 (0.254)	Data 0.001 (0.191)	Loss 2.8061 (2.9938)	Prec@1 34.375 (30.354)	Prec@5 63.672 (59.515)
Epoch: [54][1800/7045]	Time 0.168 (0.254)	Data 0.117 (0.191)	Loss 2.9658 (2.9936)	Prec@1 30.078 (30.349)	Prec@5 60.547 (59.522)
Epoch: [54][1810/7045]	Time 0.180 (0.254)	Data 0.129 (0.191)	Loss 2.9810 (2.9934)	Prec@1 33.984 (30.349)	Prec@5 60.156 (59.525)
Epoch: [54][1820/7045]	Time 0.447 (0.254)	Data 0.397 (0.191)	Loss 3.0569 (2.9937)	Prec@1 27.734 (30.346)	Prec@5 62.109 (59.521)
Epoch: [54][1830/7045]	Time 0.101 (0.254)	Data 0.044 (0.191)	Loss 3.0497 (2.9937)	Prec@1 28.516 (30.349)	Prec@5 57.031 (59.521)
Epoch: [54][1840/7045]	Time 0.246 (0.254)	Data 0.188 (0.191)	Loss 2.9621 (2.9937)	Prec@1 31.250 (30.340)	Prec@5 60.938 (59.520)
Epoch: [54][1850/7045]	Time 0.102 (0.254)	Data 0.001 (0.190)	Loss 3.1151 (2.9936)	Prec@1 30.469 (30.341)	Prec@5 57.422 (59.524)
Epoch: [54][1860/7045]	Time 0.153 (0.254)	Data 0.096 (0.191)	Loss 3.2280 (2.9937)	Prec@1 23.828 (30.343)	Prec@5 56.641 (59.520)
Epoch: [54][1870/7045]	Time 0.623 (0.254)	Data 0.573 (0.191)	Loss 2.9492 (2.9937)	Prec@1 28.906 (30.340)	Prec@5 58.203 (59.518)
Epoch: [54][1880/7045]	Time 0.101 (0.254)	Data 0.001 (0.190)	Loss 3.0194 (2.9939)	Prec@1 30.469 (30.335)	Prec@5 58.203 (59.518)
Epoch: [54][1890/7045]	Time 0.231 (0.254)	Data 0.180 (0.190)	Loss 2.9916 (2.9937)	Prec@1 28.516 (30.337)	Prec@5 58.203 (59.515)
Epoch: [54][1900/7045]	Time 0.102 (0.254)	Data 0.001 (0.190)	Loss 3.0471 (2.9937)	Prec@1 32.031 (30.335)	Prec@5 60.156 (59.520)
Epoch: [54][1910/7045]	Time 0.158 (0.254)	Data 0.107 (0.190)	Loss 2.7460 (2.9936)	Prec@1 35.938 (30.339)	Prec@5 66.797 (59.523)
Epoch: [54][1920/7045]	Time 0.696 (0.254)	Data 0.645 (0.190)	Loss 3.0861 (2.9935)	Prec@1 31.250 (30.342)	Prec@5 57.031 (59.522)
Epoch: [54][1930/7045]	Time 0.102 (0.254)	Data 0.001 (0.190)	Loss 2.9693 (2.9937)	Prec@1 28.125 (30.338)	Prec@5 60.156 (59.516)
Epoch: [54][1940/7045]	Time 0.302 (0.254)	Data 0.251 (0.190)	Loss 3.1155 (2.9940)	Prec@1 28.125 (30.328)	Prec@5 56.250 (59.508)
Epoch: [54][1950/7045]	Time 0.102 (0.254)	Data 0.001 (0.190)	Loss 2.8210 (2.9943)	Prec@1 36.328 (30.320)	Prec@5 60.938 (59.505)
Epoch: [54][1960/7045]	Time 0.119 (0.254)	Data 0.056 (0.190)	Loss 2.9957 (2.9943)	Prec@1 33.984 (30.320)	Prec@5 60.938 (59.505)
Epoch: [54][1970/7045]	Time 0.103 (0.254)	Data 0.001 (0.190)	Loss 2.9720 (2.9946)	Prec@1 31.250 (30.318)	Prec@5 60.156 (59.500)
Epoch: [54][1980/7045]	Time 0.106 (0.254)	Data 0.054 (0.190)	Loss 2.9541 (2.9946)	Prec@1 33.203 (30.320)	Prec@5 60.156 (59.498)
Epoch: [54][1990/7045]	Time 0.341 (0.254)	Data 0.291 (0.190)	Loss 2.9599 (2.9947)	Prec@1 32.031 (30.315)	Prec@5 57.812 (59.499)
Epoch: [54][2000/7045]	Time 0.517 (0.254)	Data 0.456 (0.190)	Loss 2.9835 (2.9948)	Prec@1 30.078 (30.314)	Prec@5 58.984 (59.499)
Epoch: [54][2010/7045]	Time 0.103 (0.254)	Data 0.006 (0.190)	Loss 2.9550 (2.9949)	Prec@1 31.250 (30.312)	Prec@5 60.547 (59.491)
Epoch: [54][2020/7045]	Time 0.580 (0.254)	Data 0.523 (0.190)	Loss 3.0535 (2.9954)	Prec@1 32.031 (30.304)	Prec@5 56.641 (59.485)
Epoch: [54][2030/7045]	Time 0.102 (0.254)	Data 0.006 (0.190)	Loss 3.0796 (2.9955)	Prec@1 27.344 (30.308)	Prec@5 57.031 (59.486)
Epoch: [54][2040/7045]	Time 0.102 (0.254)	Data 0.008 (0.190)	Loss 3.0798 (2.9957)	Prec@1 30.469 (30.306)	Prec@5 56.641 (59.483)
Epoch: [54][2050/7045]	Time 0.101 (0.254)	Data 0.001 (0.190)	Loss 2.9918 (2.9963)	Prec@1 29.297 (30.295)	Prec@5 60.938 (59.469)
Epoch: [54][2060/7045]	Time 0.239 (0.254)	Data 0.189 (0.190)	Loss 3.1743 (2.9964)	Prec@1 26.172 (30.294)	Prec@5 55.469 (59.471)
Epoch: [54][2070/7045]	Time 0.141 (0.254)	Data 0.086 (0.190)	Loss 2.9619 (2.9965)	Prec@1 27.734 (30.290)	Prec@5 60.156 (59.468)
Epoch: [54][2080/7045]	Time 0.685 (0.254)	Data 0.628 (0.190)	Loss 2.9679 (2.9966)	Prec@1 31.250 (30.294)	Prec@5 60.547 (59.469)
Epoch: [54][2090/7045]	Time 0.215 (0.254)	Data 0.164 (0.190)	Loss 3.1152 (2.9967)	Prec@1 31.641 (30.296)	Prec@5 57.422 (59.469)
Epoch: [54][2100/7045]	Time 0.338 (0.254)	Data 0.284 (0.190)	Loss 2.9186 (2.9968)	Prec@1 32.031 (30.291)	Prec@5 57.812 (59.472)
Epoch: [54][2110/7045]	Time 0.102 (0.254)	Data 0.047 (0.190)	Loss 3.1850 (2.9968)	Prec@1 25.391 (30.291)	Prec@5 55.078 (59.473)
Epoch: [54][2120/7045]	Time 0.390 (0.254)	Data 0.339 (0.190)	Loss 2.9629 (2.9970)	Prec@1 32.422 (30.294)	Prec@5 60.156 (59.472)
Epoch: [54][2130/7045]	Time 0.386 (0.254)	Data 0.335 (0.190)	Loss 2.9027 (2.9968)	Prec@1 31.250 (30.293)	Prec@5 60.547 (59.478)
Epoch: [54][2140/7045]	Time 0.191 (0.254)	Data 0.140 (0.190)	Loss 3.2042 (2.9969)	Prec@1 26.562 (30.288)	Prec@5 58.594 (59.471)
Epoch: [54][2150/7045]	Time 0.190 (0.254)	Data 0.139 (0.190)	Loss 3.0610 (2.9971)	Prec@1 26.953 (30.282)	Prec@5 58.984 (59.464)
Epoch: [54][2160/7045]	Time 0.357 (0.254)	Data 0.305 (0.190)	Loss 2.9701 (2.9972)	Prec@1 32.031 (30.280)	Prec@5 63.281 (59.459)
Epoch: [54][2170/7045]	Time 0.109 (0.254)	Data 0.001 (0.190)	Loss 2.9695 (2.9971)	Prec@1 35.156 (30.284)	Prec@5 62.891 (59.459)
Epoch: [54][2180/7045]	Time 0.427 (0.254)	Data 0.376 (0.190)	Loss 3.0272 (2.9973)	Prec@1 27.734 (30.283)	Prec@5 57.031 (59.454)
Epoch: [54][2190/7045]	Time 0.102 (0.254)	Data 0.049 (0.190)	Loss 2.9253 (2.9972)	Prec@1 31.641 (30.285)	Prec@5 62.500 (59.459)
Epoch: [54][2200/7045]	Time 0.351 (0.254)	Data 0.301 (0.190)	Loss 2.9225 (2.9972)	Prec@1 30.469 (30.283)	Prec@5 59.766 (59.456)
Epoch: [54][2210/7045]	Time 0.283 (0.254)	Data 0.232 (0.190)	Loss 2.8557 (2.9970)	Prec@1 28.516 (30.281)	Prec@5 63.281 (59.465)
Epoch: [54][2220/7045]	Time 0.209 (0.254)	Data 0.158 (0.190)	Loss 3.1883 (2.9971)	Prec@1 26.953 (30.281)	Prec@5 53.516 (59.462)
Epoch: [54][2230/7045]	Time 0.240 (0.254)	Data 0.190 (0.190)	Loss 3.2583 (2.9973)	Prec@1 25.000 (30.276)	Prec@5 56.250 (59.460)
Epoch: [54][2240/7045]	Time 0.372 (0.254)	Data 0.321 (0.190)	Loss 2.9373 (2.9973)	Prec@1 31.641 (30.279)	Prec@5 56.641 (59.460)
Epoch: [54][2250/7045]	Time 0.360 (0.254)	Data 0.301 (0.190)	Loss 2.9624 (2.9970)	Prec@1 30.078 (30.285)	Prec@5 60.547 (59.467)
Epoch: [54][2260/7045]	Time 0.288 (0.254)	Data 0.230 (0.190)	Loss 3.1232 (2.9971)	Prec@1 32.812 (30.281)	Prec@5 57.422 (59.464)
Epoch: [54][2270/7045]	Time 0.347 (0.254)	Data 0.296 (0.190)	Loss 2.7833 (2.9970)	Prec@1 35.156 (30.283)	Prec@5 60.938 (59.461)
Epoch: [54][2280/7045]	Time 0.244 (0.254)	Data 0.193 (0.190)	Loss 2.9209 (2.9969)	Prec@1 33.594 (30.292)	Prec@5 61.328 (59.461)
Epoch: [54][2290/7045]	Time 0.109 (0.254)	Data 0.001 (0.190)	Loss 3.0320 (2.9972)	Prec@1 28.906 (30.286)	Prec@5 60.547 (59.460)
Epoch: [54][2300/7045]	Time 0.102 (0.254)	Data 0.001 (0.190)	Loss 2.5652 (2.9971)	Prec@1 37.500 (30.284)	Prec@5 71.094 (59.462)
Epoch: [54][2310/7045]	Time 0.326 (0.254)	Data 0.274 (0.190)	Loss 2.8500 (2.9974)	Prec@1 30.859 (30.283)	Prec@5 59.375 (59.453)
Epoch: [54][2320/7045]	Time 0.560 (0.254)	Data 0.507 (0.190)	Loss 3.0713 (2.9974)	Prec@1 27.344 (30.284)	Prec@5 56.641 (59.450)
Epoch: [54][2330/7045]	Time 0.109 (0.254)	Data 0.001 (0.190)	Loss 2.8488 (2.9972)	Prec@1 32.031 (30.285)	Prec@5 60.156 (59.452)
Epoch: [54][2340/7045]	Time 0.420 (0.254)	Data 0.369 (0.190)	Loss 2.9582 (2.9973)	Prec@1 32.422 (30.284)	Prec@5 60.547 (59.452)
Epoch: [54][2350/7045]	Time 0.102 (0.253)	Data 0.006 (0.190)	Loss 2.9320 (2.9974)	Prec@1 28.516 (30.285)	Prec@5 63.281 (59.452)
Epoch: [54][2360/7045]	Time 0.273 (0.254)	Data 0.217 (0.190)	Loss 2.8673 (2.9973)	Prec@1 32.422 (30.289)	Prec@5 64.062 (59.455)
Epoch: [54][2370/7045]	Time 0.275 (0.253)	Data 0.225 (0.190)	Loss 2.8624 (2.9974)	Prec@1 32.031 (30.285)	Prec@5 62.891 (59.450)
Epoch: [54][2380/7045]	Time 0.222 (0.253)	Data 0.166 (0.190)	Loss 2.9746 (2.9974)	Prec@1 28.516 (30.286)	Prec@5 57.812 (59.450)
Epoch: [54][2390/7045]	Time 0.411 (0.253)	Data 0.361 (0.190)	Loss 3.0690 (2.9976)	Prec@1 28.516 (30.285)	Prec@5 60.156 (59.443)
Epoch: [54][2400/7045]	Time 0.185 (0.253)	Data 0.134 (0.190)	Loss 3.2690 (2.9977)	Prec@1 26.172 (30.287)	Prec@5 52.734 (59.440)
Epoch: [54][2410/7045]	Time 0.239 (0.253)	Data 0.188 (0.190)	Loss 3.0670 (2.9977)	Prec@1 30.078 (30.284)	Prec@5 58.203 (59.439)
Epoch: [54][2420/7045]	Time 0.248 (0.253)	Data 0.196 (0.190)	Loss 2.9957 (2.9977)	Prec@1 27.734 (30.287)	Prec@5 61.328 (59.445)
Epoch: [54][2430/7045]	Time 0.102 (0.253)	Data 0.049 (0.190)	Loss 3.0266 (2.9978)	Prec@1 32.031 (30.282)	Prec@5 59.766 (59.445)
Epoch: [54][2440/7045]	Time 0.335 (0.253)	Data 0.284 (0.190)	Loss 3.0770 (2.9980)	Prec@1 32.812 (30.281)	Prec@5 58.594 (59.442)
Epoch: [54][2450/7045]	Time 0.102 (0.253)	Data 0.001 (0.190)	Loss 3.2419 (2.9981)	Prec@1 25.781 (30.279)	Prec@5 55.859 (59.434)
Epoch: [54][2460/7045]	Time 0.708 (0.253)	Data 0.657 (0.190)	Loss 2.8373 (2.9983)	Prec@1 33.594 (30.280)	Prec@5 64.453 (59.436)
Epoch: [54][2470/7045]	Time 0.186 (0.253)	Data 0.135 (0.190)	Loss 3.2738 (2.9981)	Prec@1 25.781 (30.286)	Prec@5 54.688 (59.440)
Epoch: [54][2480/7045]	Time 0.334 (0.253)	Data 0.283 (0.190)	Loss 3.0584 (2.9979)	Prec@1 29.297 (30.290)	Prec@5 56.641 (59.444)
Epoch: [54][2490/7045]	Time 0.102 (0.253)	Data 0.001 (0.190)	Loss 2.9767 (2.9980)	Prec@1 30.859 (30.288)	Prec@5 62.891 (59.444)
Epoch: [54][2500/7045]	Time 0.101 (0.253)	Data 0.003 (0.190)	Loss 3.0790 (2.9980)	Prec@1 25.781 (30.288)	Prec@5 58.203 (59.441)
Epoch: [54][2510/7045]	Time 0.608 (0.253)	Data 0.556 (0.190)	Loss 2.6954 (2.9976)	Prec@1 32.812 (30.292)	Prec@5 62.891 (59.447)
Epoch: [54][2520/7045]	Time 0.109 (0.253)	Data 0.056 (0.190)	Loss 3.0476 (2.9974)	Prec@1 32.031 (30.296)	Prec@5 60.156 (59.455)
Epoch: [54][2530/7045]	Time 0.276 (0.253)	Data 0.226 (0.190)	Loss 3.0539 (2.9976)	Prec@1 28.125 (30.294)	Prec@5 60.938 (59.450)
Epoch: [54][2540/7045]	Time 0.344 (0.253)	Data 0.292 (0.190)	Loss 3.1011 (2.9972)	Prec@1 31.250 (30.300)	Prec@5 56.641 (59.457)
Epoch: [54][2550/7045]	Time 0.305 (0.253)	Data 0.255 (0.190)	Loss 2.8731 (2.9970)	Prec@1 29.297 (30.299)	Prec@5 65.234 (59.462)
Epoch: [54][2560/7045]	Time 0.110 (0.253)	Data 0.057 (0.190)	Loss 3.0371 (2.9972)	Prec@1 28.516 (30.299)	Prec@5 59.375 (59.460)
Epoch: [54][2570/7045]	Time 0.105 (0.253)	Data 0.053 (0.190)	Loss 2.9973 (2.9973)	Prec@1 28.516 (30.299)	Prec@5 56.641 (59.458)
Epoch: [54][2580/7045]	Time 0.108 (0.253)	Data 0.056 (0.190)	Loss 2.7425 (2.9971)	Prec@1 35.547 (30.300)	Prec@5 62.500 (59.461)
Epoch: [54][2590/7045]	Time 0.153 (0.253)	Data 0.102 (0.190)	Loss 3.2761 (2.9976)	Prec@1 26.172 (30.293)	Prec@5 54.688 (59.452)
Epoch: [54][2600/7045]	Time 0.100 (0.253)	Data 0.002 (0.190)	Loss 2.7944 (2.9978)	Prec@1 32.422 (30.290)	Prec@5 62.109 (59.445)
Epoch: [54][2610/7045]	Time 0.811 (0.253)	Data 0.759 (0.190)	Loss 3.0290 (2.9979)	Prec@1 29.297 (30.291)	Prec@5 59.766 (59.442)
Epoch: [54][2620/7045]	Time 0.100 (0.253)	Data 0.013 (0.190)	Loss 3.3626 (2.9981)	Prec@1 26.953 (30.288)	Prec@5 51.562 (59.440)
Epoch: [54][2630/7045]	Time 0.373 (0.253)	Data 0.322 (0.190)	Loss 2.8319 (2.9982)	Prec@1 33.203 (30.289)	Prec@5 62.500 (59.441)
Epoch: [54][2640/7045]	Time 0.232 (0.253)	Data 0.182 (0.190)	Loss 3.1797 (2.9983)	Prec@1 24.219 (30.286)	Prec@5 53.906 (59.441)
Epoch: [54][2650/7045]	Time 0.524 (0.253)	Data 0.473 (0.190)	Loss 2.8419 (2.9982)	Prec@1 33.594 (30.291)	Prec@5 62.109 (59.443)
Epoch: [54][2660/7045]	Time 0.105 (0.253)	Data 0.053 (0.190)	Loss 2.9440 (2.9981)	Prec@1 33.594 (30.297)	Prec@5 62.891 (59.446)
Epoch: [54][2670/7045]	Time 0.112 (0.253)	Data 0.060 (0.190)	Loss 2.8995 (2.9979)	Prec@1 26.172 (30.297)	Prec@5 62.109 (59.451)
Epoch: [54][2680/7045]	Time 0.101 (0.253)	Data 0.001 (0.190)	Loss 3.0328 (2.9979)	Prec@1 28.906 (30.298)	Prec@5 58.594 (59.452)
Epoch: [54][2690/7045]	Time 0.626 (0.253)	Data 0.575 (0.190)	Loss 2.8178 (2.9978)	Prec@1 31.641 (30.301)	Prec@5 60.547 (59.454)
Epoch: [54][2700/7045]	Time 0.101 (0.253)	Data 0.001 (0.190)	Loss 3.0596 (2.9980)	Prec@1 37.109 (30.304)	Prec@5 59.375 (59.453)
Epoch: [54][2710/7045]	Time 0.366 (0.253)	Data 0.315 (0.190)	Loss 2.9743 (2.9980)	Prec@1 30.859 (30.303)	Prec@5 58.984 (59.457)
Epoch: [54][2720/7045]	Time 0.157 (0.253)	Data 0.105 (0.189)	Loss 3.1094 (2.9980)	Prec@1 25.000 (30.307)	Prec@5 60.156 (59.458)
Epoch: [54][2730/7045]	Time 0.185 (0.253)	Data 0.126 (0.190)	Loss 2.9848 (2.9979)	Prec@1 25.781 (30.304)	Prec@5 57.422 (59.459)
Epoch: [54][2740/7045]	Time 0.108 (0.253)	Data 0.055 (0.190)	Loss 2.9935 (2.9978)	Prec@1 31.250 (30.304)	Prec@5 59.375 (59.464)
Epoch: [54][2750/7045]	Time 0.214 (0.253)	Data 0.162 (0.190)	Loss 3.0131 (2.9980)	Prec@1 31.641 (30.302)	Prec@5 59.375 (59.464)
Epoch: [54][2760/7045]	Time 0.265 (0.253)	Data 0.204 (0.190)	Loss 3.0834 (2.9984)	Prec@1 29.297 (30.296)	Prec@5 62.109 (59.457)
Epoch: [54][2770/7045]	Time 0.127 (0.253)	Data 0.076 (0.190)	Loss 2.8735 (2.9985)	Prec@1 30.469 (30.293)	Prec@5 59.375 (59.456)
Epoch: [54][2780/7045]	Time 0.213 (0.253)	Data 0.162 (0.190)	Loss 3.0167 (2.9987)	Prec@1 29.297 (30.289)	Prec@5 59.375 (59.454)
Epoch: [54][2790/7045]	Time 0.438 (0.253)	Data 0.388 (0.190)	Loss 3.2220 (2.9986)	Prec@1 29.297 (30.294)	Prec@5 56.250 (59.455)
Epoch: [54][2800/7045]	Time 0.146 (0.253)	Data 0.095 (0.190)	Loss 2.8059 (2.9983)	Prec@1 32.031 (30.295)	Prec@5 64.453 (59.459)
Epoch: [54][2810/7045]	Time 0.318 (0.253)	Data 0.267 (0.190)	Loss 2.9273 (2.9982)	Prec@1 33.203 (30.300)	Prec@5 64.453 (59.466)
Epoch: [54][2820/7045]	Time 0.103 (0.253)	Data 0.001 (0.189)	Loss 3.1523 (2.9985)	Prec@1 26.172 (30.300)	Prec@5 55.078 (59.462)
Epoch: [54][2830/7045]	Time 0.342 (0.253)	Data 0.290 (0.189)	Loss 2.8309 (2.9985)	Prec@1 29.688 (30.295)	Prec@5 63.281 (59.460)
Epoch: [54][2840/7045]	Time 0.521 (0.253)	Data 0.470 (0.189)	Loss 2.9858 (2.9987)	Prec@1 30.469 (30.294)	Prec@5 57.812 (59.452)
Epoch: [54][2850/7045]	Time 0.102 (0.253)	Data 0.008 (0.189)	Loss 2.9569 (2.9989)	Prec@1 32.422 (30.294)	Prec@5 59.375 (59.448)
Epoch: [54][2860/7045]	Time 0.198 (0.253)	Data 0.146 (0.189)	Loss 2.9976 (2.9991)	Prec@1 33.594 (30.290)	Prec@5 59.766 (59.446)
Epoch: [54][2870/7045]	Time 0.101 (0.253)	Data 0.001 (0.189)	Loss 3.0692 (2.9993)	Prec@1 24.219 (30.284)	Prec@5 58.984 (59.443)
Epoch: [54][2880/7045]	Time 0.268 (0.253)	Data 0.215 (0.189)	Loss 3.0431 (2.9994)	Prec@1 30.078 (30.283)	Prec@5 58.203 (59.439)
Epoch: [54][2890/7045]	Time 0.533 (0.253)	Data 0.482 (0.189)	Loss 3.1604 (2.9994)	Prec@1 27.344 (30.282)	Prec@5 56.250 (59.440)
Epoch: [54][2900/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 2.9030 (2.9995)	Prec@1 35.156 (30.281)	Prec@5 65.234 (59.439)
Epoch: [54][2910/7045]	Time 0.103 (0.253)	Data 0.004 (0.189)	Loss 2.9732 (2.9996)	Prec@1 31.641 (30.278)	Prec@5 57.812 (59.437)
Epoch: [54][2920/7045]	Time 0.103 (0.253)	Data 0.001 (0.189)	Loss 2.9821 (2.9995)	Prec@1 28.125 (30.278)	Prec@5 59.766 (59.442)
Epoch: [54][2930/7045]	Time 0.577 (0.253)	Data 0.519 (0.189)	Loss 2.9942 (2.9995)	Prec@1 32.812 (30.280)	Prec@5 62.500 (59.443)
Epoch: [54][2940/7045]	Time 0.380 (0.253)	Data 0.328 (0.189)	Loss 3.1969 (2.9998)	Prec@1 28.516 (30.277)	Prec@5 54.297 (59.436)
Epoch: [54][2950/7045]	Time 0.174 (0.253)	Data 0.121 (0.189)	Loss 3.0917 (2.9999)	Prec@1 29.688 (30.278)	Prec@5 53.906 (59.431)
Epoch: [54][2960/7045]	Time 0.103 (0.253)	Data 0.001 (0.189)	Loss 3.0006 (3.0001)	Prec@1 29.297 (30.272)	Prec@5 58.203 (59.428)
Epoch: [54][2970/7045]	Time 0.116 (0.253)	Data 0.065 (0.189)	Loss 2.8654 (3.0001)	Prec@1 34.375 (30.273)	Prec@5 62.891 (59.431)
Epoch: [54][2980/7045]	Time 0.518 (0.253)	Data 0.467 (0.189)	Loss 2.9511 (3.0001)	Prec@1 28.906 (30.274)	Prec@5 59.375 (59.430)
Epoch: [54][2990/7045]	Time 0.101 (0.253)	Data 0.044 (0.189)	Loss 2.9845 (3.0000)	Prec@1 32.812 (30.277)	Prec@5 61.719 (59.434)
Epoch: [54][3000/7045]	Time 0.559 (0.253)	Data 0.501 (0.189)	Loss 3.1840 (3.0000)	Prec@1 27.734 (30.281)	Prec@5 56.641 (59.437)
Epoch: [54][3010/7045]	Time 0.111 (0.253)	Data 0.002 (0.189)	Loss 3.0133 (3.0002)	Prec@1 30.078 (30.276)	Prec@5 59.766 (59.430)
Epoch: [54][3020/7045]	Time 0.462 (0.253)	Data 0.411 (0.189)	Loss 3.0564 (3.0004)	Prec@1 28.516 (30.273)	Prec@5 58.594 (59.429)
Epoch: [54][3030/7045]	Time 0.113 (0.253)	Data 0.062 (0.189)	Loss 2.9939 (3.0004)	Prec@1 28.516 (30.271)	Prec@5 61.719 (59.425)
Epoch: [54][3040/7045]	Time 0.102 (0.253)	Data 0.049 (0.189)	Loss 3.1712 (3.0007)	Prec@1 24.609 (30.266)	Prec@5 56.641 (59.420)
Epoch: [54][3050/7045]	Time 0.188 (0.253)	Data 0.136 (0.189)	Loss 3.0861 (3.0008)	Prec@1 26.953 (30.265)	Prec@5 60.938 (59.420)
Epoch: [54][3060/7045]	Time 0.220 (0.253)	Data 0.170 (0.189)	Loss 2.8388 (3.0008)	Prec@1 32.812 (30.267)	Prec@5 60.938 (59.419)
Epoch: [54][3070/7045]	Time 0.580 (0.253)	Data 0.529 (0.189)	Loss 3.0756 (3.0005)	Prec@1 26.562 (30.274)	Prec@5 58.984 (59.428)
Epoch: [54][3080/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 2.8922 (3.0005)	Prec@1 28.906 (30.272)	Prec@5 60.938 (59.428)
Epoch: [54][3090/7045]	Time 0.518 (0.253)	Data 0.468 (0.189)	Loss 3.2396 (3.0006)	Prec@1 25.781 (30.269)	Prec@5 53.516 (59.425)
Epoch: [54][3100/7045]	Time 0.102 (0.253)	Data 0.049 (0.189)	Loss 3.0055 (3.0006)	Prec@1 33.984 (30.271)	Prec@5 60.156 (59.425)
Epoch: [54][3110/7045]	Time 0.134 (0.253)	Data 0.083 (0.189)	Loss 3.0727 (3.0007)	Prec@1 30.469 (30.273)	Prec@5 57.422 (59.420)
Epoch: [54][3120/7045]	Time 0.412 (0.253)	Data 0.360 (0.189)	Loss 2.9853 (3.0007)	Prec@1 30.859 (30.270)	Prec@5 60.547 (59.419)
Epoch: [54][3130/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 2.9121 (3.0007)	Prec@1 31.641 (30.270)	Prec@5 60.156 (59.419)
Epoch: [54][3140/7045]	Time 0.598 (0.253)	Data 0.541 (0.189)	Loss 3.0681 (3.0008)	Prec@1 29.688 (30.267)	Prec@5 55.859 (59.415)
Epoch: [54][3150/7045]	Time 0.103 (0.253)	Data 0.001 (0.189)	Loss 3.2754 (3.0011)	Prec@1 21.875 (30.262)	Prec@5 54.297 (59.408)
Epoch: [54][3160/7045]	Time 0.102 (0.253)	Data 0.005 (0.189)	Loss 2.9759 (3.0011)	Prec@1 29.297 (30.265)	Prec@5 59.766 (59.408)
Epoch: [54][3170/7045]	Time 0.208 (0.253)	Data 0.155 (0.189)	Loss 2.9102 (3.0008)	Prec@1 33.984 (30.268)	Prec@5 62.500 (59.415)
Epoch: [54][3180/7045]	Time 0.102 (0.253)	Data 0.009 (0.189)	Loss 2.9296 (3.0006)	Prec@1 32.031 (30.274)	Prec@5 60.938 (59.418)
Epoch: [54][3190/7045]	Time 0.248 (0.253)	Data 0.197 (0.189)	Loss 3.1353 (3.0007)	Prec@1 26.172 (30.272)	Prec@5 57.812 (59.416)
Epoch: [54][3200/7045]	Time 0.131 (0.253)	Data 0.078 (0.189)	Loss 2.9837 (3.0007)	Prec@1 31.641 (30.273)	Prec@5 56.641 (59.419)
Epoch: [54][3210/7045]	Time 0.246 (0.253)	Data 0.193 (0.189)	Loss 2.9328 (3.0006)	Prec@1 28.906 (30.272)	Prec@5 61.719 (59.422)
Epoch: [54][3220/7045]	Time 0.191 (0.253)	Data 0.140 (0.189)	Loss 3.2283 (3.0008)	Prec@1 32.031 (30.274)	Prec@5 53.516 (59.417)
Epoch: [54][3230/7045]	Time 0.101 (0.253)	Data 0.001 (0.189)	Loss 3.0958 (3.0008)	Prec@1 27.734 (30.280)	Prec@5 58.203 (59.416)
Epoch: [54][3240/7045]	Time 0.233 (0.253)	Data 0.182 (0.189)	Loss 2.9851 (3.0007)	Prec@1 33.203 (30.280)	Prec@5 62.500 (59.418)
Epoch: [54][3250/7045]	Time 0.109 (0.253)	Data 0.001 (0.189)	Loss 3.0371 (3.0009)	Prec@1 27.344 (30.281)	Prec@5 59.766 (59.413)
Epoch: [54][3260/7045]	Time 0.103 (0.253)	Data 0.001 (0.189)	Loss 3.0879 (3.0012)	Prec@1 28.125 (30.274)	Prec@5 62.500 (59.409)
Epoch: [54][3270/7045]	Time 0.203 (0.253)	Data 0.153 (0.189)	Loss 2.9909 (3.0012)	Prec@1 34.766 (30.281)	Prec@5 59.766 (59.410)
Epoch: [54][3280/7045]	Time 0.224 (0.253)	Data 0.165 (0.189)	Loss 2.9741 (3.0014)	Prec@1 34.375 (30.276)	Prec@5 58.203 (59.403)
Epoch: [54][3290/7045]	Time 0.103 (0.253)	Data 0.001 (0.189)	Loss 3.0909 (3.0015)	Prec@1 26.172 (30.275)	Prec@5 57.031 (59.400)
Epoch: [54][3300/7045]	Time 0.290 (0.253)	Data 0.239 (0.189)	Loss 2.9909 (3.0018)	Prec@1 33.203 (30.274)	Prec@5 59.766 (59.397)
Epoch: [54][3310/7045]	Time 0.345 (0.253)	Data 0.293 (0.189)	Loss 3.1559 (3.0019)	Prec@1 24.609 (30.270)	Prec@5 58.203 (59.393)
Epoch: [54][3320/7045]	Time 0.487 (0.253)	Data 0.437 (0.189)	Loss 2.9529 (3.0022)	Prec@1 32.422 (30.268)	Prec@5 60.938 (59.388)
Epoch: [54][3330/7045]	Time 0.100 (0.253)	Data 0.001 (0.189)	Loss 3.0719 (3.0024)	Prec@1 30.859 (30.262)	Prec@5 57.422 (59.382)
Epoch: [54][3340/7045]	Time 0.424 (0.253)	Data 0.372 (0.189)	Loss 2.8959 (3.0024)	Prec@1 30.469 (30.262)	Prec@5 60.938 (59.384)
Epoch: [54][3350/7045]	Time 0.308 (0.253)	Data 0.255 (0.189)	Loss 2.9013 (3.0021)	Prec@1 30.859 (30.263)	Prec@5 63.281 (59.390)
Epoch: [54][3360/7045]	Time 0.237 (0.253)	Data 0.185 (0.189)	Loss 2.9672 (3.0023)	Prec@1 34.375 (30.265)	Prec@5 64.453 (59.385)
Epoch: [54][3370/7045]	Time 0.235 (0.253)	Data 0.184 (0.189)	Loss 2.9616 (3.0023)	Prec@1 34.375 (30.263)	Prec@5 57.031 (59.385)
Epoch: [54][3380/7045]	Time 0.589 (0.253)	Data 0.538 (0.189)	Loss 2.9750 (3.0022)	Prec@1 27.734 (30.263)	Prec@5 58.984 (59.387)
Epoch: [54][3390/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 3.0462 (3.0022)	Prec@1 27.734 (30.263)	Prec@5 55.469 (59.387)
Epoch: [54][3400/7045]	Time 0.189 (0.253)	Data 0.138 (0.189)	Loss 2.8533 (3.0022)	Prec@1 31.250 (30.264)	Prec@5 60.938 (59.385)
Epoch: [54][3410/7045]	Time 0.102 (0.253)	Data 0.045 (0.189)	Loss 2.9867 (3.0023)	Prec@1 32.422 (30.263)	Prec@5 58.984 (59.380)
Epoch: [54][3420/7045]	Time 0.276 (0.253)	Data 0.219 (0.189)	Loss 3.1762 (3.0024)	Prec@1 30.078 (30.261)	Prec@5 55.859 (59.379)
Epoch: [54][3430/7045]	Time 0.248 (0.253)	Data 0.198 (0.189)	Loss 3.0027 (3.0021)	Prec@1 30.078 (30.266)	Prec@5 56.641 (59.385)
Epoch: [54][3440/7045]	Time 0.285 (0.253)	Data 0.234 (0.189)	Loss 2.9488 (3.0022)	Prec@1 29.688 (30.268)	Prec@5 62.109 (59.384)
Epoch: [54][3450/7045]	Time 0.510 (0.253)	Data 0.459 (0.189)	Loss 3.0534 (3.0021)	Prec@1 28.906 (30.267)	Prec@5 60.156 (59.384)
Epoch: [54][3460/7045]	Time 0.101 (0.253)	Data 0.001 (0.189)	Loss 3.1922 (3.0022)	Prec@1 29.297 (30.267)	Prec@5 55.859 (59.382)
Epoch: [54][3470/7045]	Time 0.417 (0.253)	Data 0.367 (0.189)	Loss 3.0544 (3.0024)	Prec@1 30.078 (30.265)	Prec@5 57.422 (59.377)
Epoch: [54][3480/7045]	Time 0.115 (0.253)	Data 0.063 (0.189)	Loss 2.9302 (3.0024)	Prec@1 30.078 (30.269)	Prec@5 62.109 (59.377)
Epoch: [54][3490/7045]	Time 0.261 (0.253)	Data 0.208 (0.189)	Loss 2.8779 (3.0022)	Prec@1 33.984 (30.271)	Prec@5 61.328 (59.382)
Epoch: [54][3500/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 2.9343 (3.0023)	Prec@1 34.375 (30.270)	Prec@5 62.109 (59.381)
Epoch: [54][3510/7045]	Time 0.248 (0.253)	Data 0.198 (0.189)	Loss 2.9719 (3.0024)	Prec@1 30.859 (30.268)	Prec@5 58.594 (59.378)
Epoch: [54][3520/7045]	Time 0.495 (0.253)	Data 0.441 (0.189)	Loss 3.0082 (3.0025)	Prec@1 30.859 (30.264)	Prec@5 61.328 (59.375)
Epoch: [54][3530/7045]	Time 0.260 (0.253)	Data 0.208 (0.189)	Loss 3.0638 (3.0026)	Prec@1 26.562 (30.264)	Prec@5 58.203 (59.372)
Epoch: [54][3540/7045]	Time 0.101 (0.253)	Data 0.046 (0.189)	Loss 3.0703 (3.0026)	Prec@1 28.906 (30.264)	Prec@5 58.203 (59.374)
Epoch: [54][3550/7045]	Time 0.102 (0.253)	Data 0.045 (0.189)	Loss 3.0235 (3.0028)	Prec@1 32.812 (30.262)	Prec@5 57.812 (59.368)
Epoch: [54][3560/7045]	Time 0.137 (0.253)	Data 0.085 (0.189)	Loss 2.9299 (3.0029)	Prec@1 28.906 (30.260)	Prec@5 59.375 (59.364)
Epoch: [54][3570/7045]	Time 0.519 (0.253)	Data 0.467 (0.189)	Loss 2.9789 (3.0030)	Prec@1 30.469 (30.260)	Prec@5 56.641 (59.362)
Epoch: [54][3580/7045]	Time 0.438 (0.253)	Data 0.386 (0.189)	Loss 2.9738 (3.0030)	Prec@1 26.562 (30.259)	Prec@5 60.156 (59.362)
Epoch: [54][3590/7045]	Time 0.107 (0.253)	Data 0.004 (0.189)	Loss 3.0242 (3.0032)	Prec@1 31.641 (30.258)	Prec@5 57.812 (59.358)
Epoch: [54][3600/7045]	Time 0.141 (0.253)	Data 0.090 (0.189)	Loss 2.8889 (3.0031)	Prec@1 29.688 (30.259)	Prec@5 60.156 (59.360)
Epoch: [54][3610/7045]	Time 0.133 (0.253)	Data 0.081 (0.189)	Loss 2.8910 (3.0034)	Prec@1 35.156 (30.253)	Prec@5 63.672 (59.355)
Epoch: [54][3620/7045]	Time 0.404 (0.253)	Data 0.352 (0.189)	Loss 3.0169 (3.0035)	Prec@1 25.781 (30.250)	Prec@5 62.891 (59.353)
Epoch: [54][3630/7045]	Time 0.134 (0.253)	Data 0.084 (0.189)	Loss 3.0947 (3.0037)	Prec@1 32.031 (30.249)	Prec@5 60.938 (59.349)
Epoch: [54][3640/7045]	Time 0.304 (0.253)	Data 0.253 (0.189)	Loss 3.0003 (3.0038)	Prec@1 28.906 (30.248)	Prec@5 62.500 (59.348)
Epoch: [54][3650/7045]	Time 0.238 (0.253)	Data 0.187 (0.189)	Loss 3.0298 (3.0040)	Prec@1 28.125 (30.245)	Prec@5 60.156 (59.346)
Epoch: [54][3660/7045]	Time 0.344 (0.253)	Data 0.283 (0.189)	Loss 3.1321 (3.0040)	Prec@1 27.344 (30.245)	Prec@5 53.906 (59.344)
Epoch: [54][3670/7045]	Time 0.270 (0.253)	Data 0.219 (0.189)	Loss 2.9823 (3.0042)	Prec@1 33.594 (30.241)	Prec@5 58.203 (59.340)
Epoch: [54][3680/7045]	Time 0.201 (0.253)	Data 0.150 (0.189)	Loss 3.2360 (3.0043)	Prec@1 26.562 (30.244)	Prec@5 57.422 (59.340)
Epoch: [54][3690/7045]	Time 0.201 (0.253)	Data 0.141 (0.189)	Loss 2.8834 (3.0044)	Prec@1 31.641 (30.240)	Prec@5 59.375 (59.336)
Epoch: [54][3700/7045]	Time 0.356 (0.253)	Data 0.305 (0.189)	Loss 2.7265 (3.0045)	Prec@1 37.891 (30.240)	Prec@5 64.453 (59.334)
Epoch: [54][3710/7045]	Time 0.219 (0.253)	Data 0.166 (0.189)	Loss 2.8833 (3.0044)	Prec@1 29.688 (30.239)	Prec@5 65.625 (59.341)
Epoch: [54][3720/7045]	Time 0.590 (0.253)	Data 0.532 (0.189)	Loss 2.9388 (3.0044)	Prec@1 29.688 (30.237)	Prec@5 64.062 (59.342)
Epoch: [54][3730/7045]	Time 0.153 (0.253)	Data 0.102 (0.189)	Loss 3.1139 (3.0044)	Prec@1 28.516 (30.239)	Prec@5 57.812 (59.344)
Epoch: [54][3740/7045]	Time 0.356 (0.253)	Data 0.304 (0.189)	Loss 2.9854 (3.0046)	Prec@1 33.984 (30.235)	Prec@5 61.328 (59.335)
Epoch: [54][3750/7045]	Time 0.582 (0.253)	Data 0.533 (0.189)	Loss 2.9427 (3.0046)	Prec@1 28.516 (30.232)	Prec@5 60.938 (59.337)
Epoch: [54][3760/7045]	Time 0.101 (0.253)	Data 0.001 (0.189)	Loss 2.7989 (3.0045)	Prec@1 33.984 (30.232)	Prec@5 64.844 (59.339)
Epoch: [54][3770/7045]	Time 0.277 (0.253)	Data 0.226 (0.189)	Loss 2.9960 (3.0045)	Prec@1 33.594 (30.236)	Prec@5 57.422 (59.341)
Epoch: [54][3780/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 2.9232 (3.0045)	Prec@1 31.250 (30.236)	Prec@5 58.984 (59.342)
Epoch: [54][3790/7045]	Time 0.102 (0.253)	Data 0.046 (0.189)	Loss 3.0631 (3.0044)	Prec@1 30.469 (30.238)	Prec@5 57.031 (59.346)
Epoch: [54][3800/7045]	Time 0.153 (0.253)	Data 0.101 (0.189)	Loss 3.0349 (3.0046)	Prec@1 29.297 (30.236)	Prec@5 58.984 (59.342)
Epoch: [54][3810/7045]	Time 0.101 (0.253)	Data 0.046 (0.189)	Loss 3.0864 (3.0045)	Prec@1 29.688 (30.237)	Prec@5 57.031 (59.342)
Epoch: [54][3820/7045]	Time 0.265 (0.253)	Data 0.215 (0.189)	Loss 3.0824 (3.0045)	Prec@1 32.422 (30.238)	Prec@5 53.906 (59.341)
Epoch: [54][3830/7045]	Time 0.443 (0.253)	Data 0.391 (0.189)	Loss 3.0471 (3.0045)	Prec@1 29.688 (30.234)	Prec@5 59.766 (59.340)
Epoch: [54][3840/7045]	Time 0.108 (0.253)	Data 0.001 (0.189)	Loss 3.1187 (3.0046)	Prec@1 28.125 (30.234)	Prec@5 57.422 (59.338)
Epoch: [54][3850/7045]	Time 0.694 (0.253)	Data 0.643 (0.189)	Loss 2.9072 (3.0045)	Prec@1 30.859 (30.236)	Prec@5 61.328 (59.339)
Epoch: [54][3860/7045]	Time 0.101 (0.253)	Data 0.002 (0.189)	Loss 3.0736 (3.0045)	Prec@1 31.250 (30.236)	Prec@5 59.766 (59.339)
Epoch: [54][3870/7045]	Time 0.276 (0.253)	Data 0.224 (0.189)	Loss 3.0240 (3.0047)	Prec@1 32.812 (30.236)	Prec@5 57.812 (59.336)
Epoch: [54][3880/7045]	Time 0.100 (0.253)	Data 0.045 (0.189)	Loss 2.9330 (3.0046)	Prec@1 26.953 (30.237)	Prec@5 58.594 (59.337)
Epoch: [54][3890/7045]	Time 0.198 (0.253)	Data 0.147 (0.189)	Loss 3.0395 (3.0048)	Prec@1 28.125 (30.234)	Prec@5 56.250 (59.333)
Epoch: [54][3900/7045]	Time 0.296 (0.253)	Data 0.244 (0.189)	Loss 2.7608 (3.0046)	Prec@1 33.594 (30.239)	Prec@5 66.797 (59.341)
Epoch: [54][3910/7045]	Time 0.146 (0.253)	Data 0.094 (0.189)	Loss 2.8549 (3.0046)	Prec@1 32.812 (30.240)	Prec@5 65.234 (59.341)
Epoch: [54][3920/7045]	Time 0.191 (0.253)	Data 0.140 (0.189)	Loss 2.9326 (3.0045)	Prec@1 27.734 (30.241)	Prec@5 59.766 (59.344)
Epoch: [54][3930/7045]	Time 0.521 (0.253)	Data 0.470 (0.189)	Loss 2.7968 (3.0045)	Prec@1 34.375 (30.240)	Prec@5 60.547 (59.341)
Epoch: [54][3940/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 2.8288 (3.0045)	Prec@1 32.031 (30.242)	Prec@5 62.109 (59.341)
Epoch: [54][3950/7045]	Time 0.424 (0.253)	Data 0.373 (0.189)	Loss 2.9828 (3.0045)	Prec@1 25.781 (30.239)	Prec@5 60.938 (59.342)
Epoch: [54][3960/7045]	Time 0.190 (0.253)	Data 0.135 (0.189)	Loss 2.9427 (3.0046)	Prec@1 32.031 (30.239)	Prec@5 60.938 (59.340)
Epoch: [54][3970/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 3.0037 (3.0046)	Prec@1 31.641 (30.242)	Prec@5 59.375 (59.339)
Epoch: [54][3980/7045]	Time 0.107 (0.253)	Data 0.054 (0.189)	Loss 2.9011 (3.0046)	Prec@1 32.031 (30.244)	Prec@5 61.719 (59.338)
Epoch: [54][3990/7045]	Time 0.413 (0.253)	Data 0.362 (0.189)	Loss 2.9867 (3.0044)	Prec@1 32.031 (30.246)	Prec@5 58.594 (59.343)
Epoch: [54][4000/7045]	Time 0.274 (0.253)	Data 0.224 (0.189)	Loss 2.9310 (3.0043)	Prec@1 31.641 (30.248)	Prec@5 60.547 (59.344)
Epoch: [54][4010/7045]	Time 0.106 (0.253)	Data 0.053 (0.189)	Loss 3.3274 (3.0044)	Prec@1 27.344 (30.246)	Prec@5 53.906 (59.342)
Epoch: [54][4020/7045]	Time 0.101 (0.253)	Data 0.008 (0.189)	Loss 3.0742 (3.0044)	Prec@1 27.344 (30.248)	Prec@5 57.812 (59.342)
Epoch: [54][4030/7045]	Time 0.472 (0.253)	Data 0.420 (0.189)	Loss 3.0315 (3.0044)	Prec@1 30.859 (30.249)	Prec@5 55.078 (59.340)
Epoch: [54][4040/7045]	Time 0.157 (0.253)	Data 0.106 (0.189)	Loss 3.1791 (3.0044)	Prec@1 27.344 (30.253)	Prec@5 57.812 (59.341)
Epoch: [54][4050/7045]	Time 0.295 (0.253)	Data 0.241 (0.189)	Loss 3.1523 (3.0042)	Prec@1 31.641 (30.257)	Prec@5 55.469 (59.345)
Epoch: [54][4060/7045]	Time 0.108 (0.253)	Data 0.056 (0.189)	Loss 2.9297 (3.0043)	Prec@1 33.984 (30.254)	Prec@5 61.719 (59.343)
Epoch: [54][4070/7045]	Time 0.254 (0.253)	Data 0.204 (0.189)	Loss 2.9809 (3.0043)	Prec@1 30.469 (30.255)	Prec@5 59.375 (59.342)
Epoch: [54][4080/7045]	Time 0.221 (0.253)	Data 0.170 (0.189)	Loss 3.0207 (3.0043)	Prec@1 30.469 (30.258)	Prec@5 60.156 (59.343)
Epoch: [54][4090/7045]	Time 0.458 (0.253)	Data 0.407 (0.189)	Loss 2.8729 (3.0042)	Prec@1 30.469 (30.260)	Prec@5 59.375 (59.344)
Epoch: [54][4100/7045]	Time 0.180 (0.253)	Data 0.128 (0.189)	Loss 3.1648 (3.0041)	Prec@1 28.125 (30.263)	Prec@5 55.469 (59.344)
Epoch: [54][4110/7045]	Time 0.193 (0.253)	Data 0.142 (0.189)	Loss 3.1788 (3.0042)	Prec@1 26.172 (30.262)	Prec@5 57.031 (59.344)
Epoch: [54][4120/7045]	Time 0.409 (0.253)	Data 0.358 (0.189)	Loss 2.9934 (3.0042)	Prec@1 30.859 (30.260)	Prec@5 57.031 (59.345)
Epoch: [54][4130/7045]	Time 0.178 (0.253)	Data 0.127 (0.189)	Loss 2.9823 (3.0042)	Prec@1 28.125 (30.257)	Prec@5 60.938 (59.341)
Epoch: [54][4140/7045]	Time 0.420 (0.253)	Data 0.368 (0.189)	Loss 2.9958 (3.0042)	Prec@1 27.344 (30.258)	Prec@5 55.859 (59.342)
Epoch: [54][4150/7045]	Time 0.563 (0.253)	Data 0.512 (0.189)	Loss 3.0797 (3.0042)	Prec@1 28.125 (30.255)	Prec@5 56.641 (59.339)
Epoch: [54][4160/7045]	Time 0.102 (0.253)	Data 0.006 (0.189)	Loss 2.9164 (3.0043)	Prec@1 31.250 (30.253)	Prec@5 58.203 (59.338)
Epoch: [54][4170/7045]	Time 0.544 (0.253)	Data 0.492 (0.189)	Loss 2.8704 (3.0043)	Prec@1 32.812 (30.252)	Prec@5 64.062 (59.340)
Epoch: [54][4180/7045]	Time 0.101 (0.253)	Data 0.012 (0.189)	Loss 2.8757 (3.0042)	Prec@1 31.250 (30.253)	Prec@5 57.422 (59.341)
Epoch: [54][4190/7045]	Time 0.568 (0.253)	Data 0.516 (0.189)	Loss 3.3311 (3.0042)	Prec@1 23.828 (30.252)	Prec@5 51.562 (59.340)
Epoch: [54][4200/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 3.2405 (3.0043)	Prec@1 26.562 (30.251)	Prec@5 53.906 (59.339)
Epoch: [54][4210/7045]	Time 0.119 (0.253)	Data 0.068 (0.189)	Loss 3.0553 (3.0042)	Prec@1 29.297 (30.251)	Prec@5 61.719 (59.340)
Epoch: [54][4220/7045]	Time 0.114 (0.253)	Data 0.063 (0.189)	Loss 3.1226 (3.0041)	Prec@1 27.734 (30.253)	Prec@5 56.641 (59.340)
Epoch: [54][4230/7045]	Time 0.101 (0.253)	Data 0.004 (0.189)	Loss 3.1114 (3.0043)	Prec@1 28.906 (30.248)	Prec@5 57.812 (59.338)
Epoch: [54][4240/7045]	Time 0.790 (0.253)	Data 0.738 (0.189)	Loss 3.0827 (3.0042)	Prec@1 28.516 (30.246)	Prec@5 56.641 (59.338)
Epoch: [54][4250/7045]	Time 0.108 (0.253)	Data 0.001 (0.189)	Loss 3.0895 (3.0043)	Prec@1 27.344 (30.246)	Prec@5 58.203 (59.336)
Epoch: [54][4260/7045]	Time 0.557 (0.253)	Data 0.506 (0.189)	Loss 3.0398 (3.0043)	Prec@1 30.859 (30.247)	Prec@5 60.547 (59.334)
Epoch: [54][4270/7045]	Time 0.416 (0.253)	Data 0.364 (0.189)	Loss 3.0779 (3.0043)	Prec@1 32.031 (30.248)	Prec@5 57.422 (59.334)
Epoch: [54][4280/7045]	Time 0.102 (0.253)	Data 0.004 (0.189)	Loss 2.8950 (3.0043)	Prec@1 29.297 (30.248)	Prec@5 60.547 (59.332)
Epoch: [54][4290/7045]	Time 0.580 (0.253)	Data 0.528 (0.189)	Loss 2.9841 (3.0045)	Prec@1 29.297 (30.245)	Prec@5 58.984 (59.328)
Epoch: [54][4300/7045]	Time 0.311 (0.253)	Data 0.260 (0.189)	Loss 3.0165 (3.0046)	Prec@1 23.047 (30.242)	Prec@5 57.031 (59.328)
Epoch: [54][4310/7045]	Time 0.101 (0.253)	Data 0.045 (0.189)	Loss 2.8760 (3.0046)	Prec@1 30.469 (30.242)	Prec@5 60.938 (59.326)
Epoch: [54][4320/7045]	Time 0.110 (0.253)	Data 0.056 (0.189)	Loss 2.9540 (3.0046)	Prec@1 30.859 (30.243)	Prec@5 58.203 (59.325)
Epoch: [54][4330/7045]	Time 0.109 (0.253)	Data 0.056 (0.189)	Loss 3.0044 (3.0047)	Prec@1 29.297 (30.241)	Prec@5 59.375 (59.323)
Epoch: [54][4340/7045]	Time 0.154 (0.253)	Data 0.102 (0.189)	Loss 2.9681 (3.0047)	Prec@1 33.203 (30.241)	Prec@5 57.031 (59.321)
Epoch: [54][4350/7045]	Time 0.188 (0.253)	Data 0.137 (0.189)	Loss 2.9716 (3.0048)	Prec@1 28.906 (30.240)	Prec@5 60.156 (59.318)
Epoch: [54][4360/7045]	Time 0.102 (0.253)	Data 0.013 (0.189)	Loss 2.9653 (3.0047)	Prec@1 33.203 (30.241)	Prec@5 59.766 (59.321)
Epoch: [54][4370/7045]	Time 0.442 (0.253)	Data 0.381 (0.189)	Loss 3.0320 (3.0045)	Prec@1 28.516 (30.242)	Prec@5 57.031 (59.325)
Epoch: [54][4380/7045]	Time 0.314 (0.253)	Data 0.256 (0.189)	Loss 3.1405 (3.0047)	Prec@1 29.297 (30.242)	Prec@5 56.641 (59.321)
Epoch: [54][4390/7045]	Time 0.163 (0.253)	Data 0.111 (0.189)	Loss 2.8990 (3.0047)	Prec@1 33.203 (30.240)	Prec@5 61.719 (59.319)
Epoch: [54][4400/7045]	Time 0.274 (0.253)	Data 0.223 (0.189)	Loss 2.9770 (3.0046)	Prec@1 30.859 (30.242)	Prec@5 56.641 (59.321)
Epoch: [54][4410/7045]	Time 0.103 (0.253)	Data 0.049 (0.189)	Loss 2.8426 (3.0045)	Prec@1 31.250 (30.243)	Prec@5 61.328 (59.321)
Epoch: [54][4420/7045]	Time 0.102 (0.253)	Data 0.007 (0.189)	Loss 2.9537 (3.0045)	Prec@1 31.250 (30.244)	Prec@5 60.938 (59.323)
Epoch: [54][4430/7045]	Time 0.109 (0.253)	Data 0.004 (0.189)	Loss 3.0789 (3.0046)	Prec@1 32.031 (30.243)	Prec@5 57.812 (59.323)
Epoch: [54][4440/7045]	Time 0.270 (0.253)	Data 0.219 (0.189)	Loss 3.3413 (3.0049)	Prec@1 25.781 (30.239)	Prec@5 55.859 (59.319)
Epoch: [54][4450/7045]	Time 0.210 (0.253)	Data 0.151 (0.189)	Loss 3.0198 (3.0049)	Prec@1 29.297 (30.239)	Prec@5 57.031 (59.318)
Epoch: [54][4460/7045]	Time 0.434 (0.253)	Data 0.384 (0.189)	Loss 3.0445 (3.0049)	Prec@1 28.125 (30.238)	Prec@5 58.984 (59.319)
Epoch: [54][4470/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 2.9516 (3.0049)	Prec@1 30.469 (30.238)	Prec@5 58.203 (59.319)
Epoch: [54][4480/7045]	Time 0.586 (0.253)	Data 0.535 (0.189)	Loss 3.0430 (3.0048)	Prec@1 28.516 (30.236)	Prec@5 59.766 (59.320)
Epoch: [54][4490/7045]	Time 0.111 (0.253)	Data 0.059 (0.189)	Loss 3.0677 (3.0050)	Prec@1 32.422 (30.234)	Prec@5 57.422 (59.316)
Epoch: [54][4500/7045]	Time 0.573 (0.253)	Data 0.521 (0.189)	Loss 3.0756 (3.0051)	Prec@1 30.078 (30.235)	Prec@5 57.422 (59.314)
Epoch: [54][4510/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 3.0267 (3.0049)	Prec@1 28.906 (30.237)	Prec@5 60.547 (59.318)
Epoch: [54][4520/7045]	Time 0.103 (0.253)	Data 0.005 (0.189)	Loss 2.9419 (3.0050)	Prec@1 35.938 (30.240)	Prec@5 59.375 (59.318)
Epoch: [54][4530/7045]	Time 0.191 (0.253)	Data 0.140 (0.189)	Loss 3.1034 (3.0050)	Prec@1 30.469 (30.239)	Prec@5 59.766 (59.317)
Epoch: [54][4540/7045]	Time 0.249 (0.253)	Data 0.197 (0.189)	Loss 2.8678 (3.0052)	Prec@1 32.422 (30.237)	Prec@5 61.328 (59.315)
Epoch: [54][4550/7045]	Time 0.102 (0.253)	Data 0.007 (0.189)	Loss 2.9768 (3.0052)	Prec@1 31.250 (30.238)	Prec@5 62.891 (59.316)
Epoch: [54][4560/7045]	Time 0.100 (0.253)	Data 0.049 (0.189)	Loss 2.7692 (3.0051)	Prec@1 32.422 (30.242)	Prec@5 64.453 (59.318)
Epoch: [54][4570/7045]	Time 0.107 (0.253)	Data 0.001 (0.189)	Loss 3.1446 (3.0051)	Prec@1 25.000 (30.240)	Prec@5 55.078 (59.318)
Epoch: [54][4580/7045]	Time 0.115 (0.253)	Data 0.063 (0.189)	Loss 2.6516 (3.0051)	Prec@1 33.203 (30.239)	Prec@5 69.531 (59.317)
Epoch: [54][4590/7045]	Time 0.495 (0.253)	Data 0.439 (0.189)	Loss 3.0855 (3.0053)	Prec@1 28.125 (30.236)	Prec@5 55.469 (59.313)
Epoch: [54][4600/7045]	Time 0.102 (0.253)	Data 0.012 (0.189)	Loss 3.0307 (3.0052)	Prec@1 28.906 (30.236)	Prec@5 57.812 (59.317)
Epoch: [54][4610/7045]	Time 0.711 (0.253)	Data 0.658 (0.189)	Loss 3.0309 (3.0052)	Prec@1 28.906 (30.237)	Prec@5 60.156 (59.317)
Epoch: [54][4620/7045]	Time 0.116 (0.253)	Data 0.064 (0.189)	Loss 2.9035 (3.0051)	Prec@1 32.422 (30.239)	Prec@5 63.281 (59.320)
Epoch: [54][4630/7045]	Time 0.539 (0.253)	Data 0.487 (0.189)	Loss 2.8351 (3.0050)	Prec@1 34.375 (30.240)	Prec@5 65.234 (59.323)
Epoch: [54][4640/7045]	Time 0.102 (0.253)	Data 0.046 (0.189)	Loss 3.1395 (3.0050)	Prec@1 28.516 (30.241)	Prec@5 56.250 (59.321)
Epoch: [54][4650/7045]	Time 0.249 (0.253)	Data 0.198 (0.189)	Loss 2.8354 (3.0049)	Prec@1 33.594 (30.245)	Prec@5 65.625 (59.324)
Epoch: [54][4660/7045]	Time 0.261 (0.253)	Data 0.212 (0.189)	Loss 2.9074 (3.0048)	Prec@1 34.375 (30.248)	Prec@5 62.109 (59.328)
Epoch: [54][4670/7045]	Time 0.338 (0.253)	Data 0.285 (0.189)	Loss 2.8790 (3.0047)	Prec@1 31.641 (30.251)	Prec@5 62.500 (59.331)
Epoch: [54][4680/7045]	Time 0.264 (0.253)	Data 0.213 (0.189)	Loss 2.9395 (3.0046)	Prec@1 31.250 (30.252)	Prec@5 58.203 (59.330)
Epoch: [54][4690/7045]	Time 0.340 (0.253)	Data 0.289 (0.189)	Loss 2.9253 (3.0047)	Prec@1 37.500 (30.254)	Prec@5 60.938 (59.327)
Epoch: [54][4700/7045]	Time 0.231 (0.253)	Data 0.180 (0.189)	Loss 3.1040 (3.0046)	Prec@1 28.125 (30.257)	Prec@5 59.375 (59.329)
Epoch: [54][4710/7045]	Time 0.156 (0.253)	Data 0.104 (0.189)	Loss 2.8447 (3.0047)	Prec@1 33.594 (30.256)	Prec@5 60.938 (59.329)
Epoch: [54][4720/7045]	Time 0.257 (0.253)	Data 0.205 (0.189)	Loss 3.1705 (3.0047)	Prec@1 29.297 (30.256)	Prec@5 53.516 (59.328)
Epoch: [54][4730/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 2.9071 (3.0046)	Prec@1 33.203 (30.255)	Prec@5 59.375 (59.330)
Epoch: [54][4740/7045]	Time 0.378 (0.253)	Data 0.326 (0.189)	Loss 3.1351 (3.0046)	Prec@1 27.734 (30.253)	Prec@5 58.984 (59.330)
Epoch: [54][4750/7045]	Time 0.231 (0.253)	Data 0.180 (0.189)	Loss 2.9472 (3.0045)	Prec@1 34.766 (30.256)	Prec@5 61.719 (59.335)
Epoch: [54][4760/7045]	Time 0.296 (0.253)	Data 0.245 (0.189)	Loss 3.2373 (3.0046)	Prec@1 27.344 (30.251)	Prec@5 55.469 (59.331)
Epoch: [54][4770/7045]	Time 0.242 (0.253)	Data 0.190 (0.189)	Loss 3.0210 (3.0046)	Prec@1 30.469 (30.252)	Prec@5 58.594 (59.330)
Epoch: [54][4780/7045]	Time 0.100 (0.253)	Data 0.005 (0.189)	Loss 2.9390 (3.0048)	Prec@1 31.641 (30.251)	Prec@5 60.938 (59.327)
Epoch: [54][4790/7045]	Time 0.101 (0.253)	Data 0.003 (0.189)	Loss 3.1808 (3.0048)	Prec@1 27.344 (30.251)	Prec@5 57.031 (59.328)
Epoch: [54][4800/7045]	Time 0.208 (0.253)	Data 0.157 (0.189)	Loss 2.9577 (3.0049)	Prec@1 28.906 (30.251)	Prec@5 60.547 (59.326)
Epoch: [54][4810/7045]	Time 0.322 (0.253)	Data 0.271 (0.189)	Loss 3.0962 (3.0050)	Prec@1 30.469 (30.250)	Prec@5 58.984 (59.326)
Epoch: [54][4820/7045]	Time 0.321 (0.253)	Data 0.270 (0.189)	Loss 3.0544 (3.0051)	Prec@1 25.781 (30.247)	Prec@5 58.984 (59.325)
Epoch: [54][4830/7045]	Time 0.494 (0.253)	Data 0.442 (0.189)	Loss 3.0463 (3.0050)	Prec@1 28.906 (30.246)	Prec@5 58.203 (59.326)
Epoch: [54][4840/7045]	Time 0.344 (0.253)	Data 0.293 (0.189)	Loss 2.8844 (3.0050)	Prec@1 36.719 (30.251)	Prec@5 64.453 (59.329)
Epoch: [54][4850/7045]	Time 0.294 (0.253)	Data 0.242 (0.189)	Loss 3.2443 (3.0049)	Prec@1 26.562 (30.252)	Prec@5 52.734 (59.328)
Epoch: [54][4860/7045]	Time 0.242 (0.253)	Data 0.191 (0.189)	Loss 3.1141 (3.0050)	Prec@1 28.125 (30.248)	Prec@5 58.984 (59.327)
Epoch: [54][4870/7045]	Time 0.329 (0.253)	Data 0.277 (0.189)	Loss 3.0276 (3.0052)	Prec@1 26.953 (30.243)	Prec@5 59.375 (59.324)
Epoch: [54][4880/7045]	Time 0.122 (0.253)	Data 0.070 (0.189)	Loss 3.0009 (3.0053)	Prec@1 27.734 (30.242)	Prec@5 60.156 (59.322)
Epoch: [54][4890/7045]	Time 0.244 (0.253)	Data 0.192 (0.189)	Loss 3.1038 (3.0052)	Prec@1 21.484 (30.241)	Prec@5 57.031 (59.323)
Epoch: [54][4900/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 2.9552 (3.0052)	Prec@1 28.906 (30.241)	Prec@5 61.328 (59.325)
Epoch: [54][4910/7045]	Time 0.211 (0.253)	Data 0.159 (0.189)	Loss 2.9767 (3.0051)	Prec@1 27.734 (30.241)	Prec@5 61.328 (59.326)
Epoch: [54][4920/7045]	Time 0.101 (0.253)	Data 0.001 (0.189)	Loss 2.8143 (3.0050)	Prec@1 30.859 (30.242)	Prec@5 58.984 (59.331)
Epoch: [54][4930/7045]	Time 0.107 (0.253)	Data 0.002 (0.189)	Loss 3.0978 (3.0050)	Prec@1 28.516 (30.244)	Prec@5 60.547 (59.329)
Epoch: [54][4940/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 3.0623 (3.0049)	Prec@1 28.516 (30.244)	Prec@5 58.203 (59.330)
Epoch: [54][4950/7045]	Time 0.289 (0.253)	Data 0.229 (0.189)	Loss 3.0074 (3.0050)	Prec@1 28.516 (30.244)	Prec@5 58.594 (59.328)
Epoch: [54][4960/7045]	Time 0.101 (0.253)	Data 0.001 (0.189)	Loss 3.0070 (3.0050)	Prec@1 27.734 (30.244)	Prec@5 59.766 (59.331)
Epoch: [54][4970/7045]	Time 0.109 (0.253)	Data 0.056 (0.189)	Loss 3.1022 (3.0050)	Prec@1 23.828 (30.246)	Prec@5 57.422 (59.330)
Epoch: [54][4980/7045]	Time 0.572 (0.253)	Data 0.521 (0.189)	Loss 2.9427 (3.0050)	Prec@1 33.203 (30.247)	Prec@5 59.766 (59.330)
Epoch: [54][4990/7045]	Time 0.109 (0.253)	Data 0.001 (0.189)	Loss 3.0003 (3.0050)	Prec@1 30.078 (30.249)	Prec@5 56.641 (59.329)
Epoch: [54][5000/7045]	Time 0.547 (0.253)	Data 0.495 (0.189)	Loss 3.0190 (3.0051)	Prec@1 30.078 (30.248)	Prec@5 61.328 (59.327)
Epoch: [54][5010/7045]	Time 0.256 (0.253)	Data 0.206 (0.189)	Loss 2.9130 (3.0050)	Prec@1 25.781 (30.245)	Prec@5 58.594 (59.326)
Epoch: [54][5020/7045]	Time 0.257 (0.253)	Data 0.207 (0.189)	Loss 3.1101 (3.0050)	Prec@1 31.250 (30.245)	Prec@5 59.375 (59.327)
Epoch: [54][5030/7045]	Time 0.103 (0.253)	Data 0.047 (0.189)	Loss 3.0141 (3.0050)	Prec@1 28.906 (30.247)	Prec@5 60.156 (59.327)
Epoch: [54][5040/7045]	Time 0.392 (0.253)	Data 0.340 (0.189)	Loss 2.9546 (3.0050)	Prec@1 31.250 (30.246)	Prec@5 59.375 (59.327)
Epoch: [54][5050/7045]	Time 0.100 (0.253)	Data 0.001 (0.189)	Loss 2.9095 (3.0050)	Prec@1 32.812 (30.246)	Prec@5 62.500 (59.328)
Epoch: [54][5060/7045]	Time 0.460 (0.253)	Data 0.409 (0.189)	Loss 2.8624 (3.0050)	Prec@1 34.375 (30.246)	Prec@5 64.062 (59.328)
Epoch: [54][5070/7045]	Time 0.226 (0.253)	Data 0.175 (0.189)	Loss 3.0504 (3.0051)	Prec@1 27.344 (30.246)	Prec@5 59.375 (59.327)
Epoch: [54][5080/7045]	Time 0.297 (0.253)	Data 0.246 (0.189)	Loss 3.0633 (3.0051)	Prec@1 28.516 (30.247)	Prec@5 55.078 (59.327)
Epoch: [54][5090/7045]	Time 0.366 (0.253)	Data 0.315 (0.189)	Loss 3.1901 (3.0051)	Prec@1 26.562 (30.247)	Prec@5 55.859 (59.329)
Epoch: [54][5100/7045]	Time 0.127 (0.253)	Data 0.075 (0.189)	Loss 2.8641 (3.0051)	Prec@1 30.469 (30.248)	Prec@5 64.062 (59.329)
Epoch: [54][5110/7045]	Time 0.103 (0.253)	Data 0.001 (0.189)	Loss 3.1392 (3.0051)	Prec@1 26.172 (30.246)	Prec@5 55.469 (59.329)
Epoch: [54][5120/7045]	Time 0.148 (0.253)	Data 0.097 (0.189)	Loss 3.0665 (3.0050)	Prec@1 29.297 (30.245)	Prec@5 60.156 (59.329)
Epoch: [54][5130/7045]	Time 0.435 (0.253)	Data 0.383 (0.189)	Loss 3.2332 (3.0051)	Prec@1 27.734 (30.245)	Prec@5 56.641 (59.327)
Epoch: [54][5140/7045]	Time 0.590 (0.253)	Data 0.539 (0.189)	Loss 2.9196 (3.0050)	Prec@1 32.031 (30.246)	Prec@5 60.938 (59.328)
Epoch: [54][5150/7045]	Time 0.235 (0.253)	Data 0.185 (0.189)	Loss 3.0661 (3.0051)	Prec@1 28.125 (30.248)	Prec@5 56.641 (59.328)
Epoch: [54][5160/7045]	Time 0.275 (0.253)	Data 0.225 (0.189)	Loss 3.0769 (3.0050)	Prec@1 28.516 (30.249)	Prec@5 59.375 (59.329)
Epoch: [54][5170/7045]	Time 0.250 (0.253)	Data 0.199 (0.189)	Loss 2.7939 (3.0050)	Prec@1 35.156 (30.248)	Prec@5 62.500 (59.327)
Epoch: [54][5180/7045]	Time 0.134 (0.253)	Data 0.082 (0.189)	Loss 2.7205 (3.0051)	Prec@1 34.766 (30.247)	Prec@5 64.844 (59.327)
Epoch: [54][5190/7045]	Time 0.238 (0.253)	Data 0.183 (0.189)	Loss 3.1841 (3.0051)	Prec@1 28.906 (30.246)	Prec@5 58.594 (59.328)
Epoch: [54][5200/7045]	Time 0.337 (0.253)	Data 0.285 (0.189)	Loss 2.8891 (3.0050)	Prec@1 28.516 (30.248)	Prec@5 61.328 (59.330)
Epoch: [54][5210/7045]	Time 0.183 (0.253)	Data 0.132 (0.189)	Loss 2.9611 (3.0050)	Prec@1 31.250 (30.248)	Prec@5 60.547 (59.330)
Epoch: [54][5220/7045]	Time 0.169 (0.253)	Data 0.118 (0.189)	Loss 2.9253 (3.0050)	Prec@1 29.297 (30.246)	Prec@5 61.719 (59.330)
Epoch: [54][5230/7045]	Time 0.242 (0.253)	Data 0.191 (0.189)	Loss 2.9679 (3.0051)	Prec@1 28.516 (30.245)	Prec@5 60.156 (59.326)
Epoch: [54][5240/7045]	Time 0.105 (0.253)	Data 0.054 (0.189)	Loss 2.9199 (3.0051)	Prec@1 29.297 (30.247)	Prec@5 64.062 (59.329)
Epoch: [54][5250/7045]	Time 0.516 (0.253)	Data 0.465 (0.189)	Loss 3.2056 (3.0051)	Prec@1 31.641 (30.246)	Prec@5 56.641 (59.328)
Epoch: [54][5260/7045]	Time 0.101 (0.253)	Data 0.001 (0.189)	Loss 2.9362 (3.0051)	Prec@1 32.422 (30.246)	Prec@5 60.156 (59.329)
Epoch: [54][5270/7045]	Time 0.591 (0.253)	Data 0.531 (0.189)	Loss 3.0500 (3.0050)	Prec@1 28.125 (30.247)	Prec@5 57.812 (59.330)
Epoch: [54][5280/7045]	Time 0.101 (0.253)	Data 0.001 (0.189)	Loss 2.8847 (3.0051)	Prec@1 31.250 (30.246)	Prec@5 62.109 (59.330)
Epoch: [54][5290/7045]	Time 0.760 (0.253)	Data 0.709 (0.189)	Loss 2.8492 (3.0050)	Prec@1 29.297 (30.249)	Prec@5 62.109 (59.331)
Epoch: [54][5300/7045]	Time 0.118 (0.253)	Data 0.060 (0.189)	Loss 2.9840 (3.0051)	Prec@1 32.812 (30.248)	Prec@5 61.719 (59.331)
Epoch: [54][5310/7045]	Time 0.359 (0.253)	Data 0.300 (0.189)	Loss 2.8518 (3.0052)	Prec@1 35.156 (30.248)	Prec@5 61.719 (59.328)
Epoch: [54][5320/7045]	Time 0.499 (0.253)	Data 0.447 (0.189)	Loss 3.1201 (3.0051)	Prec@1 28.516 (30.251)	Prec@5 57.812 (59.329)
Epoch: [54][5330/7045]	Time 0.188 (0.253)	Data 0.137 (0.189)	Loss 3.0895 (3.0052)	Prec@1 26.562 (30.250)	Prec@5 58.984 (59.328)
Epoch: [54][5340/7045]	Time 0.407 (0.253)	Data 0.356 (0.189)	Loss 2.9032 (3.0051)	Prec@1 32.812 (30.250)	Prec@5 60.547 (59.329)
Epoch: [54][5350/7045]	Time 0.158 (0.253)	Data 0.106 (0.189)	Loss 3.0905 (3.0051)	Prec@1 28.516 (30.251)	Prec@5 58.594 (59.332)
Epoch: [54][5360/7045]	Time 0.404 (0.253)	Data 0.353 (0.189)	Loss 3.3299 (3.0050)	Prec@1 26.953 (30.252)	Prec@5 54.297 (59.334)
Epoch: [54][5370/7045]	Time 0.101 (0.253)	Data 0.043 (0.189)	Loss 3.0064 (3.0050)	Prec@1 33.203 (30.251)	Prec@5 59.375 (59.336)
Epoch: [54][5380/7045]	Time 0.464 (0.253)	Data 0.413 (0.189)	Loss 3.0730 (3.0050)	Prec@1 26.172 (30.249)	Prec@5 57.422 (59.335)
Epoch: [54][5390/7045]	Time 0.101 (0.253)	Data 0.006 (0.189)	Loss 2.9273 (3.0049)	Prec@1 32.812 (30.250)	Prec@5 60.547 (59.338)
Epoch: [54][5400/7045]	Time 0.590 (0.253)	Data 0.539 (0.189)	Loss 2.9942 (3.0049)	Prec@1 28.906 (30.254)	Prec@5 60.547 (59.338)
Epoch: [54][5410/7045]	Time 0.104 (0.253)	Data 0.051 (0.189)	Loss 2.7837 (3.0048)	Prec@1 33.594 (30.254)	Prec@5 64.844 (59.341)
Epoch: [54][5420/7045]	Time 0.148 (0.253)	Data 0.096 (0.189)	Loss 3.0528 (3.0047)	Prec@1 30.469 (30.256)	Prec@5 60.156 (59.343)
Epoch: [54][5430/7045]	Time 0.167 (0.253)	Data 0.115 (0.189)	Loss 3.0469 (3.0047)	Prec@1 28.906 (30.256)	Prec@5 58.594 (59.344)
Epoch: [54][5440/7045]	Time 0.237 (0.253)	Data 0.186 (0.189)	Loss 2.8829 (3.0048)	Prec@1 38.672 (30.257)	Prec@5 63.672 (59.341)
Epoch: [54][5450/7045]	Time 0.375 (0.253)	Data 0.323 (0.189)	Loss 2.9246 (3.0048)	Prec@1 33.594 (30.255)	Prec@5 64.062 (59.341)
Epoch: [54][5460/7045]	Time 0.306 (0.253)	Data 0.254 (0.189)	Loss 3.1070 (3.0048)	Prec@1 28.906 (30.258)	Prec@5 58.203 (59.341)
Epoch: [54][5470/7045]	Time 0.162 (0.253)	Data 0.110 (0.189)	Loss 2.9911 (3.0048)	Prec@1 28.125 (30.258)	Prec@5 56.250 (59.340)
Epoch: [54][5480/7045]	Time 0.101 (0.253)	Data 0.013 (0.189)	Loss 3.1751 (3.0048)	Prec@1 30.078 (30.261)	Prec@5 58.984 (59.344)
Epoch: [54][5490/7045]	Time 0.102 (0.253)	Data 0.010 (0.189)	Loss 3.0154 (3.0048)	Prec@1 33.203 (30.262)	Prec@5 59.375 (59.345)
Epoch: [54][5500/7045]	Time 0.392 (0.253)	Data 0.341 (0.189)	Loss 3.2941 (3.0049)	Prec@1 26.172 (30.259)	Prec@5 56.250 (59.344)
Epoch: [54][5510/7045]	Time 0.108 (0.253)	Data 0.001 (0.189)	Loss 2.8893 (3.0049)	Prec@1 33.203 (30.260)	Prec@5 60.938 (59.345)
Epoch: [54][5520/7045]	Time 0.750 (0.253)	Data 0.699 (0.189)	Loss 3.0244 (3.0048)	Prec@1 30.078 (30.260)	Prec@5 57.812 (59.346)
Epoch: [54][5530/7045]	Time 0.122 (0.253)	Data 0.070 (0.189)	Loss 3.0390 (3.0049)	Prec@1 29.688 (30.257)	Prec@5 55.859 (59.340)
Epoch: [54][5540/7045]	Time 0.595 (0.253)	Data 0.543 (0.189)	Loss 3.0176 (3.0049)	Prec@1 30.469 (30.259)	Prec@5 58.203 (59.341)
Epoch: [54][5550/7045]	Time 0.102 (0.253)	Data 0.006 (0.189)	Loss 2.8863 (3.0048)	Prec@1 30.078 (30.259)	Prec@5 64.453 (59.342)
Epoch: [54][5560/7045]	Time 0.425 (0.253)	Data 0.367 (0.189)	Loss 2.9026 (3.0048)	Prec@1 33.594 (30.258)	Prec@5 64.062 (59.342)
Epoch: [54][5570/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 3.0290 (3.0049)	Prec@1 27.344 (30.256)	Prec@5 60.156 (59.340)
Epoch: [54][5580/7045]	Time 0.110 (0.253)	Data 0.001 (0.189)	Loss 3.3623 (3.0048)	Prec@1 23.438 (30.256)	Prec@5 48.047 (59.342)
Epoch: [54][5590/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 2.9690 (3.0048)	Prec@1 32.422 (30.256)	Prec@5 60.156 (59.342)
Epoch: [54][5600/7045]	Time 0.149 (0.253)	Data 0.096 (0.189)	Loss 2.9884 (3.0048)	Prec@1 25.391 (30.253)	Prec@5 58.594 (59.342)
Epoch: [54][5610/7045]	Time 0.325 (0.253)	Data 0.274 (0.189)	Loss 2.9645 (3.0049)	Prec@1 30.859 (30.253)	Prec@5 59.375 (59.340)
Epoch: [54][5620/7045]	Time 0.254 (0.253)	Data 0.203 (0.189)	Loss 3.1240 (3.0049)	Prec@1 28.516 (30.254)	Prec@5 53.906 (59.341)
Epoch: [54][5630/7045]	Time 0.826 (0.253)	Data 0.767 (0.189)	Loss 3.0571 (3.0049)	Prec@1 29.688 (30.253)	Prec@5 57.031 (59.340)
Epoch: [54][5640/7045]	Time 0.109 (0.253)	Data 0.005 (0.189)	Loss 2.9756 (3.0049)	Prec@1 29.688 (30.251)	Prec@5 62.500 (59.341)
Epoch: [54][5650/7045]	Time 0.458 (0.253)	Data 0.406 (0.189)	Loss 2.8585 (3.0048)	Prec@1 32.422 (30.252)	Prec@5 63.672 (59.343)
Epoch: [54][5660/7045]	Time 0.101 (0.253)	Data 0.006 (0.189)	Loss 2.9914 (3.0047)	Prec@1 28.516 (30.254)	Prec@5 60.547 (59.346)
Epoch: [54][5670/7045]	Time 0.203 (0.253)	Data 0.143 (0.189)	Loss 2.9044 (3.0048)	Prec@1 32.422 (30.253)	Prec@5 57.031 (59.343)
Epoch: [54][5680/7045]	Time 0.103 (0.253)	Data 0.001 (0.189)	Loss 2.9685 (3.0047)	Prec@1 31.641 (30.252)	Prec@5 59.375 (59.344)
Epoch: [54][5690/7045]	Time 0.341 (0.253)	Data 0.288 (0.189)	Loss 3.1821 (3.0047)	Prec@1 26.172 (30.252)	Prec@5 53.906 (59.345)
Epoch: [54][5700/7045]	Time 0.178 (0.253)	Data 0.126 (0.189)	Loss 2.7725 (3.0048)	Prec@1 29.688 (30.249)	Prec@5 61.719 (59.343)
Epoch: [54][5710/7045]	Time 0.202 (0.253)	Data 0.150 (0.189)	Loss 3.2409 (3.0048)	Prec@1 30.078 (30.249)	Prec@5 54.297 (59.341)
Epoch: [54][5720/7045]	Time 0.316 (0.253)	Data 0.265 (0.189)	Loss 2.9343 (3.0048)	Prec@1 31.250 (30.250)	Prec@5 57.031 (59.341)
Epoch: [54][5730/7045]	Time 0.259 (0.253)	Data 0.202 (0.189)	Loss 3.0797 (3.0048)	Prec@1 28.125 (30.250)	Prec@5 56.250 (59.342)
Epoch: [54][5740/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 2.9629 (3.0050)	Prec@1 32.812 (30.249)	Prec@5 61.719 (59.340)
Epoch: [54][5750/7045]	Time 0.417 (0.253)	Data 0.365 (0.189)	Loss 2.7863 (3.0049)	Prec@1 32.812 (30.251)	Prec@5 62.891 (59.341)
Epoch: [54][5760/7045]	Time 0.261 (0.253)	Data 0.211 (0.189)	Loss 3.1484 (3.0050)	Prec@1 26.953 (30.252)	Prec@5 58.594 (59.338)
Epoch: [54][5770/7045]	Time 0.327 (0.253)	Data 0.270 (0.189)	Loss 3.0999 (3.0049)	Prec@1 24.609 (30.252)	Prec@5 57.812 (59.341)
Epoch: [54][5780/7045]	Time 0.231 (0.253)	Data 0.173 (0.189)	Loss 2.8091 (3.0049)	Prec@1 32.812 (30.252)	Prec@5 59.766 (59.340)
Epoch: [54][5790/7045]	Time 0.440 (0.253)	Data 0.387 (0.189)	Loss 3.2970 (3.0049)	Prec@1 26.953 (30.252)	Prec@5 53.125 (59.340)
Epoch: [54][5800/7045]	Time 0.130 (0.253)	Data 0.079 (0.189)	Loss 2.9947 (3.0051)	Prec@1 27.344 (30.247)	Prec@5 59.375 (59.334)
Epoch: [54][5810/7045]	Time 0.624 (0.253)	Data 0.573 (0.189)	Loss 3.1907 (3.0051)	Prec@1 26.172 (30.247)	Prec@5 54.297 (59.335)
Epoch: [54][5820/7045]	Time 0.102 (0.253)	Data 0.050 (0.189)	Loss 2.9640 (3.0052)	Prec@1 27.734 (30.243)	Prec@5 62.500 (59.334)
Epoch: [54][5830/7045]	Time 0.585 (0.253)	Data 0.527 (0.189)	Loss 3.1554 (3.0052)	Prec@1 29.688 (30.244)	Prec@5 60.156 (59.334)
Epoch: [54][5840/7045]	Time 0.114 (0.253)	Data 0.064 (0.189)	Loss 3.0836 (3.0052)	Prec@1 30.469 (30.245)	Prec@5 57.422 (59.335)
Epoch: [54][5850/7045]	Time 0.301 (0.253)	Data 0.241 (0.189)	Loss 2.8948 (3.0050)	Prec@1 31.641 (30.247)	Prec@5 60.938 (59.338)
Epoch: [54][5860/7045]	Time 0.557 (0.253)	Data 0.507 (0.189)	Loss 3.0224 (3.0051)	Prec@1 32.812 (30.247)	Prec@5 58.594 (59.336)
Epoch: [54][5870/7045]	Time 0.104 (0.253)	Data 0.001 (0.189)	Loss 2.9710 (3.0051)	Prec@1 27.344 (30.246)	Prec@5 62.891 (59.339)
Epoch: [54][5880/7045]	Time 0.629 (0.253)	Data 0.578 (0.189)	Loss 3.0837 (3.0051)	Prec@1 29.297 (30.247)	Prec@5 57.812 (59.337)
Epoch: [54][5890/7045]	Time 0.111 (0.253)	Data 0.060 (0.189)	Loss 2.9896 (3.0050)	Prec@1 31.641 (30.248)	Prec@5 57.031 (59.339)
Epoch: [54][5900/7045]	Time 0.129 (0.253)	Data 0.078 (0.189)	Loss 2.8910 (3.0051)	Prec@1 35.547 (30.251)	Prec@5 62.500 (59.339)
Epoch: [54][5910/7045]	Time 0.119 (0.253)	Data 0.065 (0.189)	Loss 2.9605 (3.0050)	Prec@1 33.594 (30.252)	Prec@5 59.375 (59.338)
Epoch: [54][5920/7045]	Time 0.323 (0.253)	Data 0.272 (0.189)	Loss 2.9283 (3.0049)	Prec@1 30.469 (30.254)	Prec@5 58.594 (59.339)
Epoch: [54][5930/7045]	Time 0.198 (0.253)	Data 0.147 (0.189)	Loss 3.1746 (3.0050)	Prec@1 29.297 (30.253)	Prec@5 55.469 (59.336)
Epoch: [54][5940/7045]	Time 0.120 (0.253)	Data 0.069 (0.189)	Loss 3.0651 (3.0051)	Prec@1 28.906 (30.252)	Prec@5 57.812 (59.335)
Epoch: [54][5950/7045]	Time 0.358 (0.253)	Data 0.307 (0.189)	Loss 2.8886 (3.0053)	Prec@1 36.328 (30.249)	Prec@5 63.281 (59.331)
Epoch: [54][5960/7045]	Time 0.101 (0.253)	Data 0.001 (0.189)	Loss 3.0043 (3.0052)	Prec@1 31.250 (30.252)	Prec@5 60.547 (59.333)
Epoch: [54][5970/7045]	Time 0.487 (0.253)	Data 0.438 (0.189)	Loss 2.8372 (3.0051)	Prec@1 32.812 (30.255)	Prec@5 62.500 (59.334)
Epoch: [54][5980/7045]	Time 0.110 (0.253)	Data 0.010 (0.189)	Loss 2.9008 (3.0051)	Prec@1 30.469 (30.254)	Prec@5 61.328 (59.335)
Epoch: [54][5990/7045]	Time 0.305 (0.253)	Data 0.253 (0.189)	Loss 3.0779 (3.0051)	Prec@1 28.125 (30.254)	Prec@5 57.812 (59.333)
Epoch: [54][6000/7045]	Time 0.102 (0.253)	Data 0.015 (0.189)	Loss 3.0302 (3.0051)	Prec@1 33.203 (30.256)	Prec@5 55.469 (59.334)
Epoch: [54][6010/7045]	Time 0.102 (0.253)	Data 0.005 (0.189)	Loss 3.1538 (3.0052)	Prec@1 28.906 (30.254)	Prec@5 59.766 (59.332)
Epoch: [54][6020/7045]	Time 0.111 (0.253)	Data 0.059 (0.189)	Loss 2.9728 (3.0052)	Prec@1 30.859 (30.253)	Prec@5 57.031 (59.330)
Epoch: [54][6030/7045]	Time 0.303 (0.253)	Data 0.252 (0.189)	Loss 2.9391 (3.0051)	Prec@1 30.859 (30.254)	Prec@5 62.500 (59.332)
Epoch: [54][6040/7045]	Time 0.336 (0.253)	Data 0.283 (0.189)	Loss 3.0372 (3.0052)	Prec@1 28.125 (30.251)	Prec@5 60.547 (59.331)
Epoch: [54][6050/7045]	Time 0.346 (0.253)	Data 0.294 (0.189)	Loss 3.0916 (3.0053)	Prec@1 28.516 (30.250)	Prec@5 58.594 (59.329)
Epoch: [54][6060/7045]	Time 0.332 (0.253)	Data 0.281 (0.189)	Loss 2.8166 (3.0053)	Prec@1 32.422 (30.252)	Prec@5 63.672 (59.332)
Epoch: [54][6070/7045]	Time 0.226 (0.253)	Data 0.175 (0.189)	Loss 2.9714 (3.0054)	Prec@1 29.688 (30.250)	Prec@5 56.641 (59.330)
Epoch: [54][6080/7045]	Time 0.241 (0.253)	Data 0.191 (0.189)	Loss 3.0102 (3.0053)	Prec@1 33.594 (30.252)	Prec@5 58.203 (59.328)
Epoch: [54][6090/7045]	Time 0.268 (0.253)	Data 0.217 (0.189)	Loss 3.1622 (3.0052)	Prec@1 26.172 (30.255)	Prec@5 58.594 (59.330)
Epoch: [54][6100/7045]	Time 0.158 (0.253)	Data 0.107 (0.189)	Loss 2.9420 (3.0052)	Prec@1 33.203 (30.256)	Prec@5 61.328 (59.331)
Epoch: [54][6110/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 3.1472 (3.0054)	Prec@1 26.562 (30.253)	Prec@5 54.297 (59.330)
Epoch: [54][6120/7045]	Time 0.182 (0.253)	Data 0.131 (0.189)	Loss 3.1893 (3.0055)	Prec@1 28.125 (30.253)	Prec@5 55.859 (59.328)
Epoch: [54][6130/7045]	Time 0.492 (0.253)	Data 0.435 (0.189)	Loss 2.9517 (3.0055)	Prec@1 29.688 (30.254)	Prec@5 58.594 (59.327)
Epoch: [54][6140/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 2.9673 (3.0055)	Prec@1 27.344 (30.253)	Prec@5 58.203 (59.326)
Epoch: [54][6150/7045]	Time 0.360 (0.253)	Data 0.310 (0.189)	Loss 3.1056 (3.0056)	Prec@1 26.562 (30.251)	Prec@5 59.375 (59.324)
Epoch: [54][6160/7045]	Time 0.539 (0.253)	Data 0.489 (0.189)	Loss 3.1577 (3.0057)	Prec@1 26.172 (30.248)	Prec@5 60.547 (59.323)
Epoch: [54][6170/7045]	Time 0.239 (0.253)	Data 0.182 (0.189)	Loss 2.9571 (3.0058)	Prec@1 31.641 (30.247)	Prec@5 60.156 (59.321)
Epoch: [54][6180/7045]	Time 0.104 (0.253)	Data 0.047 (0.189)	Loss 3.0569 (3.0059)	Prec@1 30.469 (30.246)	Prec@5 58.203 (59.319)
Epoch: [54][6190/7045]	Time 0.448 (0.253)	Data 0.394 (0.189)	Loss 3.0009 (3.0059)	Prec@1 32.422 (30.246)	Prec@5 60.547 (59.318)
Epoch: [54][6200/7045]	Time 0.104 (0.253)	Data 0.054 (0.189)	Loss 2.9943 (3.0059)	Prec@1 31.250 (30.245)	Prec@5 59.375 (59.318)
Epoch: [54][6210/7045]	Time 0.645 (0.253)	Data 0.595 (0.189)	Loss 3.0338 (3.0059)	Prec@1 27.734 (30.245)	Prec@5 62.500 (59.319)
Epoch: [54][6220/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 2.9094 (3.0059)	Prec@1 30.859 (30.245)	Prec@5 65.234 (59.320)
Epoch: [54][6230/7045]	Time 0.548 (0.253)	Data 0.497 (0.189)	Loss 3.0682 (3.0060)	Prec@1 25.391 (30.243)	Prec@5 56.641 (59.321)
Epoch: [54][6240/7045]	Time 0.100 (0.253)	Data 0.012 (0.189)	Loss 3.0357 (3.0060)	Prec@1 32.031 (30.243)	Prec@5 58.203 (59.320)
Epoch: [54][6250/7045]	Time 0.491 (0.253)	Data 0.440 (0.189)	Loss 3.1786 (3.0060)	Prec@1 27.734 (30.243)	Prec@5 60.156 (59.322)
Epoch: [54][6260/7045]	Time 0.225 (0.253)	Data 0.166 (0.189)	Loss 3.0508 (3.0059)	Prec@1 29.688 (30.246)	Prec@5 58.984 (59.324)
Epoch: [54][6270/7045]	Time 0.259 (0.253)	Data 0.208 (0.189)	Loss 3.2589 (3.0061)	Prec@1 26.562 (30.244)	Prec@5 53.125 (59.320)
Epoch: [54][6280/7045]	Time 0.351 (0.253)	Data 0.301 (0.189)	Loss 3.0066 (3.0061)	Prec@1 27.734 (30.245)	Prec@5 59.375 (59.320)
Epoch: [54][6290/7045]	Time 0.107 (0.253)	Data 0.001 (0.189)	Loss 3.0697 (3.0060)	Prec@1 32.031 (30.247)	Prec@5 58.594 (59.322)
Epoch: [54][6300/7045]	Time 0.451 (0.253)	Data 0.398 (0.189)	Loss 2.9869 (3.0061)	Prec@1 25.391 (30.248)	Prec@5 59.766 (59.322)
Epoch: [54][6310/7045]	Time 0.138 (0.253)	Data 0.087 (0.189)	Loss 2.9534 (3.0061)	Prec@1 31.250 (30.249)	Prec@5 60.156 (59.322)
Epoch: [54][6320/7045]	Time 0.395 (0.253)	Data 0.344 (0.189)	Loss 3.1206 (3.0061)	Prec@1 28.906 (30.249)	Prec@5 56.641 (59.322)
Epoch: [54][6330/7045]	Time 0.115 (0.253)	Data 0.063 (0.189)	Loss 2.8597 (3.0060)	Prec@1 29.688 (30.252)	Prec@5 63.672 (59.324)
Epoch: [54][6340/7045]	Time 0.190 (0.253)	Data 0.138 (0.189)	Loss 3.0739 (3.0060)	Prec@1 26.953 (30.251)	Prec@5 60.156 (59.324)
Epoch: [54][6350/7045]	Time 0.217 (0.253)	Data 0.166 (0.189)	Loss 3.0493 (3.0060)	Prec@1 29.297 (30.252)	Prec@5 55.078 (59.325)
Epoch: [54][6360/7045]	Time 0.376 (0.253)	Data 0.324 (0.189)	Loss 2.8747 (3.0059)	Prec@1 28.516 (30.252)	Prec@5 64.844 (59.326)
Epoch: [54][6370/7045]	Time 0.262 (0.253)	Data 0.211 (0.189)	Loss 2.9602 (3.0059)	Prec@1 31.641 (30.254)	Prec@5 60.938 (59.327)
Epoch: [54][6380/7045]	Time 0.165 (0.253)	Data 0.107 (0.189)	Loss 3.0724 (3.0058)	Prec@1 29.688 (30.254)	Prec@5 56.641 (59.330)
Epoch: [54][6390/7045]	Time 0.187 (0.253)	Data 0.136 (0.189)	Loss 2.9240 (3.0057)	Prec@1 30.469 (30.254)	Prec@5 59.375 (59.332)
Epoch: [54][6400/7045]	Time 0.182 (0.253)	Data 0.130 (0.189)	Loss 2.8567 (3.0057)	Prec@1 32.812 (30.254)	Prec@5 64.453 (59.332)
Epoch: [54][6410/7045]	Time 0.112 (0.253)	Data 0.061 (0.189)	Loss 3.1390 (3.0057)	Prec@1 26.172 (30.255)	Prec@5 58.203 (59.334)
Epoch: [54][6420/7045]	Time 0.396 (0.253)	Data 0.345 (0.189)	Loss 3.0905 (3.0057)	Prec@1 25.391 (30.257)	Prec@5 54.297 (59.335)
Epoch: [54][6430/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 2.8525 (3.0056)	Prec@1 32.812 (30.258)	Prec@5 61.328 (59.333)
Epoch: [54][6440/7045]	Time 0.296 (0.253)	Data 0.245 (0.189)	Loss 3.0631 (3.0057)	Prec@1 30.859 (30.258)	Prec@5 55.859 (59.332)
Epoch: [54][6450/7045]	Time 0.157 (0.253)	Data 0.105 (0.189)	Loss 3.1864 (3.0056)	Prec@1 24.609 (30.259)	Prec@5 54.297 (59.335)
Epoch: [54][6460/7045]	Time 0.161 (0.253)	Data 0.110 (0.189)	Loss 3.0917 (3.0057)	Prec@1 28.516 (30.257)	Prec@5 59.375 (59.335)
Epoch: [54][6470/7045]	Time 0.147 (0.253)	Data 0.087 (0.189)	Loss 2.8065 (3.0058)	Prec@1 36.328 (30.256)	Prec@5 63.672 (59.333)
Epoch: [54][6480/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 3.0756 (3.0058)	Prec@1 26.172 (30.255)	Prec@5 55.078 (59.333)
Epoch: [54][6490/7045]	Time 0.536 (0.253)	Data 0.485 (0.189)	Loss 3.0683 (3.0058)	Prec@1 30.469 (30.254)	Prec@5 57.812 (59.332)
Epoch: [54][6500/7045]	Time 0.129 (0.253)	Data 0.077 (0.189)	Loss 3.2143 (3.0059)	Prec@1 24.609 (30.253)	Prec@5 55.469 (59.330)
Epoch: [54][6510/7045]	Time 0.430 (0.253)	Data 0.372 (0.189)	Loss 2.9702 (3.0060)	Prec@1 33.594 (30.253)	Prec@5 59.766 (59.329)
Epoch: [54][6520/7045]	Time 0.325 (0.253)	Data 0.273 (0.189)	Loss 3.1501 (3.0060)	Prec@1 28.906 (30.254)	Prec@5 57.812 (59.331)
Epoch: [54][6530/7045]	Time 0.371 (0.253)	Data 0.319 (0.189)	Loss 2.8802 (3.0060)	Prec@1 30.859 (30.252)	Prec@5 60.938 (59.329)
Epoch: [54][6540/7045]	Time 0.112 (0.253)	Data 0.001 (0.189)	Loss 2.9454 (3.0061)	Prec@1 28.125 (30.249)	Prec@5 60.547 (59.328)
Epoch: [54][6550/7045]	Time 0.361 (0.253)	Data 0.310 (0.189)	Loss 3.1307 (3.0061)	Prec@1 25.391 (30.247)	Prec@5 59.766 (59.328)
Epoch: [54][6560/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 3.1578 (3.0061)	Prec@1 29.688 (30.247)	Prec@5 56.641 (59.329)
Epoch: [54][6570/7045]	Time 0.642 (0.253)	Data 0.590 (0.189)	Loss 3.1421 (3.0062)	Prec@1 30.469 (30.244)	Prec@5 56.641 (59.327)
Epoch: [54][6580/7045]	Time 0.310 (0.253)	Data 0.259 (0.189)	Loss 3.0098 (3.0062)	Prec@1 30.469 (30.243)	Prec@5 60.547 (59.327)
Epoch: [54][6590/7045]	Time 0.398 (0.253)	Data 0.347 (0.189)	Loss 3.1649 (3.0062)	Prec@1 28.125 (30.243)	Prec@5 55.078 (59.327)
Epoch: [54][6600/7045]	Time 0.102 (0.253)	Data 0.015 (0.189)	Loss 3.1117 (3.0062)	Prec@1 28.125 (30.244)	Prec@5 55.859 (59.326)
Epoch: [54][6610/7045]	Time 0.164 (0.253)	Data 0.113 (0.189)	Loss 2.9816 (3.0062)	Prec@1 29.688 (30.244)	Prec@5 60.156 (59.327)
Epoch: [54][6620/7045]	Time 0.385 (0.253)	Data 0.333 (0.189)	Loss 2.7835 (3.0062)	Prec@1 33.984 (30.243)	Prec@5 66.797 (59.327)
Epoch: [54][6630/7045]	Time 0.156 (0.253)	Data 0.105 (0.189)	Loss 3.2891 (3.0062)	Prec@1 25.000 (30.244)	Prec@5 53.906 (59.327)
Epoch: [54][6640/7045]	Time 0.447 (0.253)	Data 0.395 (0.189)	Loss 3.0203 (3.0061)	Prec@1 30.469 (30.248)	Prec@5 56.250 (59.328)
Epoch: [54][6650/7045]	Time 0.144 (0.253)	Data 0.093 (0.189)	Loss 3.1060 (3.0061)	Prec@1 26.953 (30.248)	Prec@5 58.203 (59.327)
Epoch: [54][6660/7045]	Time 0.571 (0.253)	Data 0.520 (0.189)	Loss 3.2091 (3.0061)	Prec@1 27.734 (30.247)	Prec@5 62.500 (59.327)
Epoch: [54][6670/7045]	Time 0.104 (0.253)	Data 0.052 (0.189)	Loss 3.0556 (3.0063)	Prec@1 26.172 (30.245)	Prec@5 58.203 (59.324)
Epoch: [54][6680/7045]	Time 0.633 (0.253)	Data 0.581 (0.189)	Loss 3.0327 (3.0062)	Prec@1 33.984 (30.245)	Prec@5 58.984 (59.324)
Epoch: [54][6690/7045]	Time 0.110 (0.253)	Data 0.018 (0.189)	Loss 3.0408 (3.0063)	Prec@1 32.422 (30.246)	Prec@5 58.594 (59.324)
Epoch: [54][6700/7045]	Time 0.755 (0.253)	Data 0.704 (0.189)	Loss 3.0156 (3.0064)	Prec@1 30.469 (30.245)	Prec@5 57.422 (59.322)
Epoch: [54][6710/7045]	Time 0.103 (0.253)	Data 0.001 (0.189)	Loss 2.8640 (3.0063)	Prec@1 33.984 (30.246)	Prec@5 59.375 (59.324)
Epoch: [54][6720/7045]	Time 0.556 (0.253)	Data 0.505 (0.189)	Loss 2.9639 (3.0063)	Prec@1 33.203 (30.247)	Prec@5 60.547 (59.324)
Epoch: [54][6730/7045]	Time 0.212 (0.253)	Data 0.162 (0.189)	Loss 3.0463 (3.0063)	Prec@1 28.125 (30.246)	Prec@5 58.594 (59.323)
Epoch: [54][6740/7045]	Time 0.316 (0.253)	Data 0.266 (0.189)	Loss 2.9295 (3.0064)	Prec@1 28.516 (30.244)	Prec@5 61.719 (59.321)
Epoch: [54][6750/7045]	Time 0.427 (0.253)	Data 0.368 (0.189)	Loss 3.1253 (3.0065)	Prec@1 28.516 (30.241)	Prec@5 60.156 (59.319)
Epoch: [54][6760/7045]	Time 0.198 (0.253)	Data 0.137 (0.189)	Loss 2.8186 (3.0065)	Prec@1 37.109 (30.240)	Prec@5 66.406 (59.319)
Epoch: [54][6770/7045]	Time 0.416 (0.253)	Data 0.365 (0.189)	Loss 2.9955 (3.0067)	Prec@1 29.688 (30.238)	Prec@5 58.594 (59.317)
Epoch: [54][6780/7045]	Time 0.137 (0.253)	Data 0.086 (0.189)	Loss 2.8755 (3.0067)	Prec@1 32.031 (30.238)	Prec@5 60.547 (59.316)
Epoch: [54][6790/7045]	Time 0.547 (0.253)	Data 0.495 (0.189)	Loss 3.1991 (3.0067)	Prec@1 23.438 (30.236)	Prec@5 53.125 (59.315)
Epoch: [54][6800/7045]	Time 0.109 (0.253)	Data 0.050 (0.189)	Loss 2.8560 (3.0067)	Prec@1 32.812 (30.236)	Prec@5 64.062 (59.315)
Epoch: [54][6810/7045]	Time 0.474 (0.253)	Data 0.421 (0.189)	Loss 3.1296 (3.0068)	Prec@1 29.297 (30.236)	Prec@5 55.078 (59.314)
Epoch: [54][6820/7045]	Time 0.177 (0.253)	Data 0.124 (0.189)	Loss 2.9653 (3.0068)	Prec@1 28.906 (30.235)	Prec@5 63.672 (59.314)
Epoch: [54][6830/7045]	Time 0.322 (0.253)	Data 0.263 (0.189)	Loss 3.0464 (3.0069)	Prec@1 29.688 (30.234)	Prec@5 57.812 (59.312)
Epoch: [54][6840/7045]	Time 0.101 (0.252)	Data 0.009 (0.189)	Loss 3.0068 (3.0070)	Prec@1 32.031 (30.233)	Prec@5 61.328 (59.311)
Epoch: [54][6850/7045]	Time 0.123 (0.252)	Data 0.072 (0.189)	Loss 3.0674 (3.0070)	Prec@1 25.781 (30.233)	Prec@5 57.812 (59.309)
Epoch: [54][6860/7045]	Time 0.102 (0.252)	Data 0.003 (0.189)	Loss 2.8441 (3.0070)	Prec@1 33.203 (30.233)	Prec@5 63.672 (59.309)
Epoch: [54][6870/7045]	Time 0.147 (0.253)	Data 0.088 (0.189)	Loss 3.1706 (3.0071)	Prec@1 28.906 (30.232)	Prec@5 57.812 (59.307)
Epoch: [54][6880/7045]	Time 0.154 (0.252)	Data 0.103 (0.189)	Loss 3.0650 (3.0071)	Prec@1 28.906 (30.232)	Prec@5 59.766 (59.309)
Epoch: [54][6890/7045]	Time 0.122 (0.253)	Data 0.070 (0.189)	Loss 3.1297 (3.0072)	Prec@1 24.609 (30.228)	Prec@5 55.469 (59.307)
Epoch: [54][6900/7045]	Time 0.521 (0.253)	Data 0.470 (0.189)	Loss 3.0321 (3.0071)	Prec@1 27.344 (30.229)	Prec@5 60.938 (59.309)
Epoch: [54][6910/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 3.1792 (3.0072)	Prec@1 27.734 (30.228)	Prec@5 55.078 (59.309)
Epoch: [54][6920/7045]	Time 0.415 (0.253)	Data 0.365 (0.189)	Loss 3.0256 (3.0073)	Prec@1 27.344 (30.226)	Prec@5 58.203 (59.307)
Epoch: [54][6930/7045]	Time 0.187 (0.252)	Data 0.136 (0.189)	Loss 2.8561 (3.0071)	Prec@1 32.031 (30.228)	Prec@5 63.672 (59.311)
Epoch: [54][6940/7045]	Time 0.487 (0.253)	Data 0.435 (0.189)	Loss 2.9853 (3.0070)	Prec@1 27.734 (30.229)	Prec@5 59.375 (59.314)
Epoch: [54][6950/7045]	Time 0.243 (0.253)	Data 0.191 (0.189)	Loss 3.0421 (3.0071)	Prec@1 28.516 (30.230)	Prec@5 61.328 (59.315)
Epoch: [54][6960/7045]	Time 0.319 (0.253)	Data 0.266 (0.189)	Loss 3.0984 (3.0071)	Prec@1 28.125 (30.231)	Prec@5 58.594 (59.314)
Epoch: [54][6970/7045]	Time 0.167 (0.253)	Data 0.109 (0.189)	Loss 3.0387 (3.0072)	Prec@1 31.641 (30.229)	Prec@5 57.812 (59.311)
Epoch: [54][6980/7045]	Time 0.204 (0.252)	Data 0.152 (0.189)	Loss 3.1186 (3.0072)	Prec@1 25.000 (30.226)	Prec@5 59.375 (59.310)
Epoch: [54][6990/7045]	Time 0.375 (0.253)	Data 0.324 (0.189)	Loss 3.2032 (3.0073)	Prec@1 28.125 (30.226)	Prec@5 53.516 (59.308)
Epoch: [54][7000/7045]	Time 0.101 (0.252)	Data 0.001 (0.189)	Loss 2.9577 (3.0074)	Prec@1 31.641 (30.225)	Prec@5 61.328 (59.306)
Epoch: [54][7010/7045]	Time 0.548 (0.253)	Data 0.498 (0.189)	Loss 3.2678 (3.0075)	Prec@1 30.078 (30.223)	Prec@5 57.422 (59.306)
Epoch: [54][7020/7045]	Time 0.108 (0.252)	Data 0.001 (0.189)	Loss 3.1000 (3.0075)	Prec@1 35.156 (30.224)	Prec@5 59.766 (59.306)
Epoch: [54][7030/7045]	Time 0.454 (0.252)	Data 0.402 (0.189)	Loss 3.0311 (3.0075)	Prec@1 27.734 (30.221)	Prec@5 56.250 (59.305)
Epoch: [54][7040/7045]	Time 0.100 (0.252)	Data 0.000 (0.189)	Loss 3.0387 (3.0076)	Prec@1 30.469 (30.218)	Prec@5 57.812 (59.302)
Test: [0/143]	Time 1.376 (1.376)	Loss 2.6674 (2.6674)	Prec@1 36.719 (36.719)	Prec@5 67.188 (67.188)
Test: [10/143]	Time 0.049 (0.250)	Loss 2.3070 (2.5061)	Prec@1 45.703 (39.027)	Prec@5 71.094 (70.206)
Test: [20/143]	Time 0.605 (0.234)	Loss 2.6228 (2.4207)	Prec@1 35.938 (40.606)	Prec@5 68.750 (71.745)
Test: [30/143]	Time 0.112 (0.208)	Loss 2.7204 (2.4238)	Prec@1 35.547 (41.318)	Prec@5 57.812 (70.804)
Test: [40/143]	Time 0.219 (0.203)	Loss 3.3994 (2.4687)	Prec@1 16.797 (40.330)	Prec@5 51.953 (69.827)
Test: [50/143]	Time 0.517 (0.203)	Loss 2.2327 (2.5083)	Prec@1 39.844 (38.840)	Prec@5 73.828 (69.409)
Test: [60/143]	Time 0.165 (0.197)	Loss 2.7064 (2.4918)	Prec@1 28.125 (39.120)	Prec@5 64.453 (69.666)
Test: [70/143]	Time 0.218 (0.194)	Loss 3.1479 (2.4874)	Prec@1 22.656 (39.200)	Prec@5 54.688 (69.729)
Test: [80/143]	Time 0.441 (0.194)	Loss 2.1956 (2.4736)	Prec@1 44.922 (39.405)	Prec@5 75.391 (70.042)
Test: [90/143]	Time 0.048 (0.191)	Loss 1.9243 (2.4622)	Prec@1 53.516 (39.402)	Prec@5 84.375 (70.398)
Test: [100/143]	Time 0.063 (0.191)	Loss 2.0415 (2.4573)	Prec@1 47.266 (39.407)	Prec@5 82.422 (70.587)
Test: [110/143]	Time 0.215 (0.190)	Loss 2.3247 (2.4478)	Prec@1 42.188 (39.745)	Prec@5 70.312 (70.851)
Test: [120/143]	Time 0.058 (0.187)	Loss 1.9620 (2.4346)	Prec@1 49.609 (40.025)	Prec@5 82.812 (71.120)
Test: [130/143]	Time 0.049 (0.189)	Loss 2.0363 (2.4386)	Prec@1 52.734 (40.052)	Prec@5 75.781 (70.951)
Test: [140/143]	Time 0.110 (0.186)	Loss 3.3908 (2.4586)	Prec@1 21.094 (39.567)	Prec@5 51.562 (70.523)
 * Prec@1 39.592 Prec@5 70.537
Epoch: [55][0/7045]	Time 2.574 (2.574)	Data 2.517 (2.517)	Loss 3.2088 (3.2088)	Prec@1 28.906 (28.906)	Prec@5 57.422 (57.422)
Epoch: [55][10/7045]	Time 0.284 (0.432)	Data 0.232 (0.364)	Loss 2.9994 (3.0055)	Prec@1 27.734 (29.794)	Prec@5 58.203 (59.872)
Epoch: [55][20/7045]	Time 0.109 (0.351)	Data 0.012 (0.289)	Loss 3.2121 (3.0186)	Prec@1 26.953 (29.501)	Prec@5 51.562 (58.519)
Epoch: [55][30/7045]	Time 0.191 (0.311)	Data 0.139 (0.248)	Loss 2.8390 (3.0090)	Prec@1 32.031 (29.952)	Prec@5 64.062 (58.795)
Epoch: [55][40/7045]	Time 0.234 (0.302)	Data 0.177 (0.241)	Loss 3.3062 (2.9986)	Prec@1 25.781 (29.878)	Prec@5 52.344 (59.080)
Epoch: [55][50/7045]	Time 0.103 (0.290)	Data 0.051 (0.230)	Loss 3.0451 (2.9951)	Prec@1 24.219 (29.749)	Prec@5 56.641 (59.291)
Epoch: [55][60/7045]	Time 0.101 (0.287)	Data 0.001 (0.226)	Loss 2.8753 (2.9932)	Prec@1 32.422 (29.995)	Prec@5 58.594 (59.247)
Epoch: [55][70/7045]	Time 0.101 (0.281)	Data 0.001 (0.219)	Loss 3.0762 (2.9956)	Prec@1 30.078 (29.968)	Prec@5 58.203 (59.237)
Epoch: [55][80/7045]	Time 0.445 (0.279)	Data 0.394 (0.217)	Loss 2.8024 (2.9923)	Prec@1 33.594 (29.948)	Prec@5 62.109 (59.322)
Epoch: [55][90/7045]	Time 0.107 (0.275)	Data 0.010 (0.213)	Loss 3.1555 (2.9882)	Prec@1 29.297 (30.134)	Prec@5 55.469 (59.439)
Epoch: [55][100/7045]	Time 0.356 (0.274)	Data 0.305 (0.211)	Loss 2.9251 (2.9840)	Prec@1 31.250 (30.256)	Prec@5 61.328 (59.595)
Epoch: [55][110/7045]	Time 0.102 (0.270)	Data 0.016 (0.207)	Loss 2.8580 (2.9873)	Prec@1 30.078 (30.282)	Prec@5 61.328 (59.519)
Epoch: [55][120/7045]	Time 0.271 (0.271)	Data 0.219 (0.208)	Loss 3.1659 (2.9869)	Prec@1 27.734 (30.214)	Prec@5 59.766 (59.536)
Epoch: [55][130/7045]	Time 0.101 (0.268)	Data 0.001 (0.204)	Loss 2.9587 (2.9832)	Prec@1 33.594 (30.355)	Prec@5 61.719 (59.676)
Epoch: [55][140/7045]	Time 0.247 (0.268)	Data 0.195 (0.204)	Loss 2.9887 (2.9854)	Prec@1 29.688 (30.330)	Prec@5 62.109 (59.699)
Epoch: [55][150/7045]	Time 0.101 (0.266)	Data 0.047 (0.201)	Loss 2.9230 (2.9844)	Prec@1 32.031 (30.352)	Prec@5 60.938 (59.670)
Epoch: [55][160/7045]	Time 0.423 (0.266)	Data 0.359 (0.202)	Loss 3.0082 (2.9813)	Prec@1 29.297 (30.435)	Prec@5 58.594 (59.681)
Epoch: [55][170/7045]	Time 0.379 (0.265)	Data 0.329 (0.201)	Loss 2.9639 (2.9794)	Prec@1 28.906 (30.387)	Prec@5 60.938 (59.715)
Epoch: [55][180/7045]	Time 0.101 (0.264)	Data 0.010 (0.200)	Loss 3.2358 (2.9841)	Prec@1 25.391 (30.292)	Prec@5 54.688 (59.669)
Epoch: [55][190/7045]	Time 0.101 (0.262)	Data 0.046 (0.199)	Loss 3.0692 (2.9885)	Prec@1 31.250 (30.279)	Prec@5 60.938 (59.565)
Epoch: [55][200/7045]	Time 0.118 (0.263)	Data 0.062 (0.200)	Loss 2.8631 (2.9851)	Prec@1 29.297 (30.346)	Prec@5 59.375 (59.668)
Epoch: [55][210/7045]	Time 0.328 (0.262)	Data 0.277 (0.199)	Loss 2.8878 (2.9843)	Prec@1 38.281 (30.324)	Prec@5 60.938 (59.714)
Epoch: [55][220/7045]	Time 0.561 (0.263)	Data 0.504 (0.200)	Loss 3.1784 (2.9853)	Prec@1 24.219 (30.319)	Prec@5 55.078 (59.683)
Epoch: [55][230/7045]	Time 0.242 (0.262)	Data 0.191 (0.199)	Loss 2.6579 (2.9822)	Prec@1 33.594 (30.367)	Prec@5 70.312 (59.774)
Epoch: [55][240/7045]	Time 0.593 (0.263)	Data 0.543 (0.199)	Loss 3.0367 (2.9820)	Prec@1 28.516 (30.406)	Prec@5 60.156 (59.759)
Epoch: [55][250/7045]	Time 0.237 (0.262)	Data 0.185 (0.199)	Loss 3.0952 (2.9810)	Prec@1 30.859 (30.431)	Prec@5 58.203 (59.784)
Epoch: [55][260/7045]	Time 0.583 (0.263)	Data 0.531 (0.198)	Loss 2.7671 (2.9819)	Prec@1 35.547 (30.437)	Prec@5 62.891 (59.739)
Epoch: [55][270/7045]	Time 0.131 (0.262)	Data 0.079 (0.198)	Loss 3.1015 (2.9825)	Prec@1 27.734 (30.405)	Prec@5 53.125 (59.732)
Epoch: [55][280/7045]	Time 0.319 (0.262)	Data 0.268 (0.198)	Loss 2.9814 (2.9849)	Prec@1 30.078 (30.378)	Prec@5 60.938 (59.723)
Epoch: [55][290/7045]	Time 0.099 (0.262)	Data 0.045 (0.198)	Loss 3.0138 (2.9865)	Prec@1 29.688 (30.412)	Prec@5 60.938 (59.724)
Epoch: [55][300/7045]	Time 0.231 (0.262)	Data 0.181 (0.198)	Loss 3.0371 (2.9861)	Prec@1 28.906 (30.417)	Prec@5 62.891 (59.747)
Epoch: [55][310/7045]	Time 0.100 (0.262)	Data 0.025 (0.198)	Loss 2.9685 (2.9868)	Prec@1 32.812 (30.400)	Prec@5 58.594 (59.730)
Epoch: [55][320/7045]	Time 0.285 (0.263)	Data 0.234 (0.199)	Loss 2.7112 (2.9866)	Prec@1 34.375 (30.388)	Prec@5 65.625 (59.774)
Epoch: [55][330/7045]	Time 0.118 (0.261)	Data 0.067 (0.198)	Loss 2.9982 (2.9876)	Prec@1 32.422 (30.367)	Prec@5 58.203 (59.746)
Epoch: [55][340/7045]	Time 0.257 (0.262)	Data 0.204 (0.199)	Loss 3.0187 (2.9874)	Prec@1 26.562 (30.337)	Prec@5 60.938 (59.736)
Epoch: [55][350/7045]	Time 0.705 (0.263)	Data 0.645 (0.200)	Loss 2.8134 (2.9866)	Prec@1 33.984 (30.339)	Prec@5 60.156 (59.743)
Epoch: [55][360/7045]	Time 0.102 (0.262)	Data 0.001 (0.199)	Loss 2.8711 (2.9867)	Prec@1 31.250 (30.314)	Prec@5 60.547 (59.741)
Epoch: [55][370/7045]	Time 0.430 (0.262)	Data 0.380 (0.198)	Loss 2.9183 (2.9864)	Prec@1 32.422 (30.341)	Prec@5 59.766 (59.753)
Epoch: [55][380/7045]	Time 0.101 (0.262)	Data 0.001 (0.199)	Loss 2.9322 (2.9858)	Prec@1 32.031 (30.354)	Prec@5 62.500 (59.792)
Epoch: [55][390/7045]	Time 0.102 (0.261)	Data 0.001 (0.197)	Loss 2.9816 (2.9856)	Prec@1 30.469 (30.339)	Prec@5 57.422 (59.774)
Epoch: [55][400/7045]	Time 0.116 (0.262)	Data 0.058 (0.197)	Loss 2.9252 (2.9850)	Prec@1 28.516 (30.325)	Prec@5 59.766 (59.760)
Epoch: [55][410/7045]	Time 0.102 (0.261)	Data 0.001 (0.196)	Loss 3.1442 (2.9849)	Prec@1 29.688 (30.336)	Prec@5 59.375 (59.749)
Epoch: [55][420/7045]	Time 0.104 (0.262)	Data 0.051 (0.197)	Loss 2.8708 (2.9850)	Prec@1 29.688 (30.331)	Prec@5 65.625 (59.754)
Epoch: [55][430/7045]	Time 0.444 (0.262)	Data 0.390 (0.197)	Loss 2.9696 (2.9840)	Prec@1 30.078 (30.375)	Prec@5 58.984 (59.764)
Epoch: [55][440/7045]	Time 0.103 (0.262)	Data 0.021 (0.196)	Loss 2.9523 (2.9850)	Prec@1 35.547 (30.365)	Prec@5 59.766 (59.709)
Epoch: [55][450/7045]	Time 0.776 (0.262)	Data 0.723 (0.197)	Loss 2.9869 (2.9849)	Prec@1 30.859 (30.375)	Prec@5 59.375 (59.728)
Epoch: [55][460/7045]	Time 0.102 (0.262)	Data 0.001 (0.196)	Loss 3.1292 (2.9856)	Prec@1 28.516 (30.400)	Prec@5 58.984 (59.727)
Epoch: [55][470/7045]	Time 0.443 (0.262)	Data 0.393 (0.196)	Loss 2.8932 (2.9860)	Prec@1 33.594 (30.407)	Prec@5 60.547 (59.711)
Epoch: [55][480/7045]	Time 0.102 (0.262)	Data 0.009 (0.196)	Loss 3.1212 (2.9859)	Prec@1 28.516 (30.397)	Prec@5 55.078 (59.719)
Epoch: [55][490/7045]	Time 0.411 (0.262)	Data 0.359 (0.196)	Loss 3.2694 (2.9864)	Prec@1 23.828 (30.397)	Prec@5 50.000 (59.688)
Epoch: [55][500/7045]	Time 0.102 (0.262)	Data 0.004 (0.196)	Loss 3.0240 (2.9868)	Prec@1 28.125 (30.402)	Prec@5 59.375 (59.674)
Epoch: [55][510/7045]	Time 0.112 (0.261)	Data 0.060 (0.195)	Loss 3.0217 (2.9862)	Prec@1 30.078 (30.411)	Prec@5 56.250 (59.691)
Epoch: [55][520/7045]	Time 0.102 (0.262)	Data 0.001 (0.195)	Loss 2.9871 (2.9866)	Prec@1 35.547 (30.434)	Prec@5 62.500 (59.688)
Epoch: [55][530/7045]	Time 0.352 (0.261)	Data 0.302 (0.195)	Loss 2.7319 (2.9860)	Prec@1 35.156 (30.451)	Prec@5 67.188 (59.699)
Epoch: [55][540/7045]	Time 0.111 (0.261)	Data 0.006 (0.195)	Loss 3.0406 (2.9853)	Prec@1 29.297 (30.488)	Prec@5 57.422 (59.729)
Epoch: [55][550/7045]	Time 0.845 (0.262)	Data 0.795 (0.196)	Loss 2.9454 (2.9849)	Prec@1 33.203 (30.521)	Prec@5 57.812 (59.732)
Epoch: [55][560/7045]	Time 0.100 (0.262)	Data 0.001 (0.195)	Loss 2.8529 (2.9854)	Prec@1 37.891 (30.524)	Prec@5 58.203 (59.713)
Epoch: [55][570/7045]	Time 0.546 (0.262)	Data 0.495 (0.195)	Loss 2.7308 (2.9864)	Prec@1 37.500 (30.514)	Prec@5 64.844 (59.691)
Epoch: [55][580/7045]	Time 0.139 (0.261)	Data 0.080 (0.194)	Loss 2.9601 (2.9862)	Prec@1 33.203 (30.516)	Prec@5 57.422 (59.690)
Epoch: [55][590/7045]	Time 0.386 (0.261)	Data 0.334 (0.194)	Loss 3.1084 (2.9864)	Prec@1 28.125 (30.516)	Prec@5 55.859 (59.676)
Epoch: [55][600/7045]	Time 0.103 (0.261)	Data 0.011 (0.194)	Loss 3.0123 (2.9857)	Prec@1 30.078 (30.520)	Prec@5 60.938 (59.703)
Epoch: [55][610/7045]	Time 0.101 (0.261)	Data 0.001 (0.194)	Loss 3.1372 (2.9866)	Prec@1 30.859 (30.516)	Prec@5 60.156 (59.683)
Epoch: [55][620/7045]	Time 0.109 (0.262)	Data 0.001 (0.194)	Loss 3.2358 (2.9867)	Prec@1 25.000 (30.525)	Prec@5 54.688 (59.676)
Epoch: [55][630/7045]	Time 0.102 (0.261)	Data 0.001 (0.193)	Loss 3.0517 (2.9870)	Prec@1 31.250 (30.515)	Prec@5 60.156 (59.674)
Epoch: [55][640/7045]	Time 0.099 (0.261)	Data 0.001 (0.193)	Loss 3.0013 (2.9874)	Prec@1 31.641 (30.524)	Prec@5 58.203 (59.658)
Epoch: [55][650/7045]	Time 0.110 (0.261)	Data 0.059 (0.193)	Loss 2.9763 (2.9869)	Prec@1 31.250 (30.524)	Prec@5 62.109 (59.679)
Epoch: [55][660/7045]	Time 0.217 (0.261)	Data 0.166 (0.193)	Loss 2.9614 (2.9875)	Prec@1 28.906 (30.518)	Prec@5 64.453 (59.664)
Epoch: [55][670/7045]	Time 0.358 (0.261)	Data 0.307 (0.193)	Loss 2.8025 (2.9874)	Prec@1 35.156 (30.516)	Prec@5 60.547 (59.665)
Epoch: [55][680/7045]	Time 0.165 (0.261)	Data 0.115 (0.193)	Loss 3.0089 (2.9863)	Prec@1 27.734 (30.532)	Prec@5 57.031 (59.686)
Epoch: [55][690/7045]	Time 0.294 (0.261)	Data 0.242 (0.193)	Loss 2.6504 (2.9858)	Prec@1 37.891 (30.559)	Prec@5 67.188 (59.701)
Epoch: [55][700/7045]	Time 0.102 (0.261)	Data 0.001 (0.193)	Loss 3.2860 (2.9861)	Prec@1 22.656 (30.546)	Prec@5 56.641 (59.697)
Epoch: [55][710/7045]	Time 0.102 (0.261)	Data 0.001 (0.193)	Loss 2.9421 (2.9863)	Prec@1 30.469 (30.538)	Prec@5 63.672 (59.706)
Epoch: [55][720/7045]	Time 0.443 (0.261)	Data 0.393 (0.194)	Loss 3.0843 (2.9865)	Prec@1 28.516 (30.536)	Prec@5 56.641 (59.707)
Epoch: [55][730/7045]	Time 0.102 (0.261)	Data 0.001 (0.193)	Loss 3.0666 (2.9865)	Prec@1 29.297 (30.541)	Prec@5 57.812 (59.715)
Epoch: [55][740/7045]	Time 0.146 (0.261)	Data 0.092 (0.193)	Loss 2.9644 (2.9869)	Prec@1 31.641 (30.542)	Prec@5 58.203 (59.707)
Epoch: [55][750/7045]	Time 0.203 (0.261)	Data 0.151 (0.194)	Loss 2.8957 (2.9862)	Prec@1 31.641 (30.568)	Prec@5 59.375 (59.712)
Epoch: [55][760/7045]	Time 0.102 (0.260)	Data 0.001 (0.193)	Loss 3.1419 (2.9870)	Prec@1 29.688 (30.556)	Prec@5 54.297 (59.695)
Epoch: [55][770/7045]	Time 0.116 (0.260)	Data 0.065 (0.193)	Loss 3.0932 (2.9864)	Prec@1 28.906 (30.566)	Prec@5 57.031 (59.711)
Epoch: [55][780/7045]	Time 0.187 (0.260)	Data 0.136 (0.193)	Loss 2.9805 (2.9865)	Prec@1 29.297 (30.573)	Prec@5 58.594 (59.708)
Epoch: [55][790/7045]	Time 0.245 (0.260)	Data 0.193 (0.193)	Loss 2.7769 (2.9864)	Prec@1 30.859 (30.572)	Prec@5 63.672 (59.702)
Epoch: [55][800/7045]	Time 0.543 (0.261)	Data 0.493 (0.193)	Loss 3.0870 (2.9870)	Prec@1 27.734 (30.556)	Prec@5 58.203 (59.694)
Epoch: [55][810/7045]	Time 0.111 (0.260)	Data 0.001 (0.193)	Loss 2.9959 (2.9873)	Prec@1 32.812 (30.548)	Prec@5 58.203 (59.683)
Epoch: [55][820/7045]	Time 0.479 (0.260)	Data 0.427 (0.193)	Loss 3.0160 (2.9870)	Prec@1 27.344 (30.552)	Prec@5 58.203 (59.697)
Epoch: [55][830/7045]	Time 0.284 (0.260)	Data 0.232 (0.193)	Loss 2.8998 (2.9878)	Prec@1 30.859 (30.553)	Prec@5 60.156 (59.687)
Epoch: [55][840/7045]	Time 0.304 (0.260)	Data 0.252 (0.193)	Loss 3.0587 (2.9881)	Prec@1 29.297 (30.543)	Prec@5 55.859 (59.669)
Epoch: [55][850/7045]	Time 0.183 (0.260)	Data 0.131 (0.193)	Loss 3.2537 (2.9887)	Prec@1 22.656 (30.522)	Prec@5 56.641 (59.655)
Epoch: [55][860/7045]	Time 0.321 (0.260)	Data 0.269 (0.193)	Loss 3.0295 (2.9884)	Prec@1 32.422 (30.527)	Prec@5 56.641 (59.659)
Epoch: [55][870/7045]	Time 0.117 (0.260)	Data 0.065 (0.193)	Loss 2.9566 (2.9883)	Prec@1 33.984 (30.532)	Prec@5 64.844 (59.665)
Epoch: [55][880/7045]	Time 0.372 (0.260)	Data 0.321 (0.194)	Loss 2.9260 (2.9886)	Prec@1 30.859 (30.517)	Prec@5 61.328 (59.658)
Epoch: [55][890/7045]	Time 0.459 (0.260)	Data 0.409 (0.194)	Loss 2.9798 (2.9889)	Prec@1 29.688 (30.511)	Prec@5 60.938 (59.658)
Epoch: [55][900/7045]	Time 0.250 (0.260)	Data 0.199 (0.194)	Loss 2.9696 (2.9889)	Prec@1 28.906 (30.507)	Prec@5 60.938 (59.670)
Epoch: [55][910/7045]	Time 0.703 (0.260)	Data 0.651 (0.194)	Loss 3.1548 (2.9898)	Prec@1 28.125 (30.492)	Prec@5 52.344 (59.658)
Epoch: [55][920/7045]	Time 0.108 (0.260)	Data 0.001 (0.194)	Loss 2.9323 (2.9892)	Prec@1 28.906 (30.491)	Prec@5 59.375 (59.674)
Epoch: [55][930/7045]	Time 0.421 (0.260)	Data 0.370 (0.194)	Loss 2.9757 (2.9891)	Prec@1 30.469 (30.498)	Prec@5 60.547 (59.678)
Epoch: [55][940/7045]	Time 0.246 (0.260)	Data 0.195 (0.194)	Loss 2.9973 (2.9890)	Prec@1 29.688 (30.502)	Prec@5 57.812 (59.678)
Epoch: [55][950/7045]	Time 0.182 (0.260)	Data 0.130 (0.193)	Loss 3.1071 (2.9890)	Prec@1 29.297 (30.512)	Prec@5 58.203 (59.681)
Epoch: [55][960/7045]	Time 0.587 (0.260)	Data 0.537 (0.194)	Loss 2.8577 (2.9886)	Prec@1 33.594 (30.520)	Prec@5 64.062 (59.679)
Epoch: [55][970/7045]	Time 0.100 (0.260)	Data 0.001 (0.194)	Loss 2.9462 (2.9886)	Prec@1 31.250 (30.523)	Prec@5 61.719 (59.678)
Epoch: [55][980/7045]	Time 0.582 (0.260)	Data 0.531 (0.194)	Loss 2.9761 (2.9889)	Prec@1 32.812 (30.500)	Prec@5 58.984 (59.675)
Epoch: [55][990/7045]	Time 0.102 (0.260)	Data 0.001 (0.193)	Loss 3.1193 (2.9891)	Prec@1 27.734 (30.494)	Prec@5 57.031 (59.673)
Epoch: [55][1000/7045]	Time 0.345 (0.260)	Data 0.294 (0.193)	Loss 2.7989 (2.9887)	Prec@1 34.375 (30.500)	Prec@5 60.156 (59.681)
Epoch: [55][1010/7045]	Time 0.103 (0.260)	Data 0.016 (0.193)	Loss 2.9154 (2.9885)	Prec@1 33.594 (30.513)	Prec@5 62.500 (59.682)
Epoch: [55][1020/7045]	Time 0.244 (0.260)	Data 0.193 (0.193)	Loss 3.0432 (2.9884)	Prec@1 26.953 (30.503)	Prec@5 57.031 (59.684)
Epoch: [55][1030/7045]	Time 0.102 (0.260)	Data 0.001 (0.193)	Loss 3.0146 (2.9891)	Prec@1 30.859 (30.499)	Prec@5 58.203 (59.671)
Epoch: [55][1040/7045]	Time 0.438 (0.260)	Data 0.387 (0.193)	Loss 2.6938 (2.9890)	Prec@1 34.375 (30.497)	Prec@5 67.188 (59.672)
Epoch: [55][1050/7045]	Time 0.428 (0.260)	Data 0.377 (0.193)	Loss 2.9874 (2.9896)	Prec@1 31.250 (30.488)	Prec@5 61.328 (59.669)
Epoch: [55][1060/7045]	Time 0.102 (0.260)	Data 0.001 (0.193)	Loss 2.9675 (2.9893)	Prec@1 31.250 (30.476)	Prec@5 58.594 (59.672)
Epoch: [55][1070/7045]	Time 0.157 (0.260)	Data 0.105 (0.193)	Loss 2.8907 (2.9895)	Prec@1 30.859 (30.467)	Prec@5 60.938 (59.669)
Epoch: [55][1080/7045]	Time 0.386 (0.260)	Data 0.336 (0.193)	Loss 3.1347 (2.9900)	Prec@1 28.125 (30.469)	Prec@5 57.422 (59.667)
Epoch: [55][1090/7045]	Time 0.112 (0.260)	Data 0.060 (0.193)	Loss 2.8119 (2.9898)	Prec@1 31.250 (30.466)	Prec@5 56.641 (59.662)
Epoch: [55][1100/7045]	Time 0.498 (0.260)	Data 0.446 (0.193)	Loss 3.1908 (2.9896)	Prec@1 24.609 (30.468)	Prec@5 57.812 (59.664)
Epoch: [55][1110/7045]	Time 0.100 (0.260)	Data 0.001 (0.193)	Loss 2.9133 (2.9893)	Prec@1 33.984 (30.472)	Prec@5 60.156 (59.670)
Epoch: [55][1120/7045]	Time 0.264 (0.260)	Data 0.212 (0.193)	Loss 3.1353 (2.9890)	Prec@1 30.078 (30.470)	Prec@5 58.203 (59.671)
Epoch: [55][1130/7045]	Time 0.102 (0.259)	Data 0.045 (0.193)	Loss 3.1863 (2.9895)	Prec@1 25.000 (30.452)	Prec@5 56.250 (59.656)
Epoch: [55][1140/7045]	Time 0.112 (0.260)	Data 0.006 (0.193)	Loss 3.0098 (2.9897)	Prec@1 30.078 (30.455)	Prec@5 58.984 (59.648)
Epoch: [55][1150/7045]	Time 0.134 (0.259)	Data 0.082 (0.193)	Loss 3.2978 (2.9898)	Prec@1 27.344 (30.458)	Prec@5 53.906 (59.647)
Epoch: [55][1160/7045]	Time 0.321 (0.259)	Data 0.270 (0.193)	Loss 3.1019 (2.9898)	Prec@1 27.344 (30.452)	Prec@5 58.203 (59.641)
Epoch: [55][1170/7045]	Time 0.209 (0.259)	Data 0.157 (0.193)	Loss 3.1094 (2.9904)	Prec@1 28.125 (30.437)	Prec@5 61.328 (59.630)
Epoch: [55][1180/7045]	Time 0.116 (0.259)	Data 0.064 (0.193)	Loss 3.0544 (2.9904)	Prec@1 30.469 (30.455)	Prec@5 58.203 (59.637)
Epoch: [55][1190/7045]	Time 0.270 (0.259)	Data 0.218 (0.193)	Loss 2.7544 (2.9904)	Prec@1 33.594 (30.453)	Prec@5 64.453 (59.641)
Epoch: [55][1200/7045]	Time 0.211 (0.259)	Data 0.159 (0.193)	Loss 2.9245 (2.9901)	Prec@1 33.984 (30.464)	Prec@5 61.328 (59.647)
Epoch: [55][1210/7045]	Time 0.449 (0.259)	Data 0.398 (0.193)	Loss 2.8844 (2.9899)	Prec@1 33.984 (30.476)	Prec@5 60.547 (59.646)
Epoch: [55][1220/7045]	Time 0.215 (0.259)	Data 0.156 (0.193)	Loss 2.9932 (2.9898)	Prec@1 30.078 (30.474)	Prec@5 60.156 (59.642)
Epoch: [55][1230/7045]	Time 0.116 (0.259)	Data 0.063 (0.193)	Loss 2.8227 (2.9892)	Prec@1 35.156 (30.482)	Prec@5 63.281 (59.658)
Epoch: [55][1240/7045]	Time 0.132 (0.259)	Data 0.069 (0.193)	Loss 2.7714 (2.9889)	Prec@1 32.812 (30.482)	Prec@5 64.453 (59.668)
Epoch: [55][1250/7045]	Time 0.194 (0.259)	Data 0.142 (0.193)	Loss 3.2360 (2.9891)	Prec@1 28.125 (30.487)	Prec@5 57.422 (59.667)
Epoch: [55][1260/7045]	Time 0.101 (0.259)	Data 0.015 (0.193)	Loss 2.9152 (2.9890)	Prec@1 32.812 (30.492)	Prec@5 61.328 (59.671)
Epoch: [55][1270/7045]	Time 0.468 (0.259)	Data 0.415 (0.193)	Loss 2.7146 (2.9889)	Prec@1 36.719 (30.498)	Prec@5 62.500 (59.668)
Epoch: [55][1280/7045]	Time 0.108 (0.259)	Data 0.056 (0.193)	Loss 3.1771 (2.9892)	Prec@1 25.000 (30.488)	Prec@5 55.469 (59.657)
Epoch: [55][1290/7045]	Time 0.546 (0.259)	Data 0.495 (0.193)	Loss 2.9300 (2.9893)	Prec@1 32.812 (30.480)	Prec@5 59.766 (59.647)
Epoch: [55][1300/7045]	Time 0.206 (0.259)	Data 0.154 (0.193)	Loss 2.8551 (2.9895)	Prec@1 35.156 (30.486)	Prec@5 63.281 (59.649)
Epoch: [55][1310/7045]	Time 0.345 (0.259)	Data 0.294 (0.193)	Loss 2.7729 (2.9888)	Prec@1 30.469 (30.491)	Prec@5 65.234 (59.660)
Epoch: [55][1320/7045]	Time 0.244 (0.259)	Data 0.193 (0.193)	Loss 3.0301 (2.9891)	Prec@1 29.297 (30.476)	Prec@5 56.641 (59.651)
Epoch: [55][1330/7045]	Time 0.269 (0.259)	Data 0.217 (0.193)	Loss 3.0186 (2.9894)	Prec@1 30.078 (30.463)	Prec@5 56.641 (59.650)
Epoch: [55][1340/7045]	Time 0.131 (0.259)	Data 0.079 (0.193)	Loss 2.8032 (2.9897)	Prec@1 32.812 (30.461)	Prec@5 66.016 (59.652)
Epoch: [55][1350/7045]	Time 0.102 (0.259)	Data 0.001 (0.193)	Loss 3.0724 (2.9894)	Prec@1 26.172 (30.467)	Prec@5 58.594 (59.661)
Epoch: [55][1360/7045]	Time 0.529 (0.259)	Data 0.479 (0.193)	Loss 3.1850 (2.9895)	Prec@1 22.656 (30.467)	Prec@5 56.250 (59.662)
Epoch: [55][1370/7045]	Time 0.102 (0.259)	Data 0.049 (0.193)	Loss 3.0249 (2.9895)	Prec@1 31.250 (30.474)	Prec@5 57.812 (59.669)
Epoch: [55][1380/7045]	Time 0.297 (0.259)	Data 0.246 (0.193)	Loss 2.9778 (2.9896)	Prec@1 30.469 (30.470)	Prec@5 57.031 (59.666)
Epoch: [55][1390/7045]	Time 0.287 (0.259)	Data 0.227 (0.194)	Loss 3.1075 (2.9900)	Prec@1 28.906 (30.470)	Prec@5 60.547 (59.657)
Epoch: [55][1400/7045]	Time 0.302 (0.259)	Data 0.251 (0.194)	Loss 3.0913 (2.9898)	Prec@1 28.125 (30.480)	Prec@5 55.078 (59.660)
Epoch: [55][1410/7045]	Time 0.103 (0.259)	Data 0.014 (0.194)	Loss 3.1635 (2.9898)	Prec@1 28.125 (30.484)	Prec@5 55.078 (59.665)
Epoch: [55][1420/7045]	Time 0.642 (0.259)	Data 0.590 (0.194)	Loss 3.2800 (2.9893)	Prec@1 28.125 (30.493)	Prec@5 54.688 (59.675)
Epoch: [55][1430/7045]	Time 0.113 (0.259)	Data 0.057 (0.194)	Loss 2.9652 (2.9893)	Prec@1 29.688 (30.485)	Prec@5 57.812 (59.675)
Epoch: [55][1440/7045]	Time 0.101 (0.259)	Data 0.002 (0.194)	Loss 2.9759 (2.9893)	Prec@1 26.953 (30.482)	Prec@5 57.812 (59.675)
Epoch: [55][1450/7045]	Time 0.304 (0.259)	Data 0.253 (0.194)	Loss 3.0979 (2.9891)	Prec@1 26.562 (30.476)	Prec@5 54.297 (59.671)
Epoch: [55][1460/7045]	Time 0.102 (0.259)	Data 0.024 (0.194)	Loss 2.9351 (2.9895)	Prec@1 33.203 (30.474)	Prec@5 62.891 (59.670)
Epoch: [55][1470/7045]	Time 0.103 (0.259)	Data 0.052 (0.194)	Loss 3.0256 (2.9897)	Prec@1 32.812 (30.478)	Prec@5 61.328 (59.674)
Epoch: [55][1480/7045]	Time 0.346 (0.259)	Data 0.294 (0.194)	Loss 3.0369 (2.9898)	Prec@1 30.859 (30.481)	Prec@5 59.375 (59.675)
Epoch: [55][1490/7045]	Time 0.103 (0.259)	Data 0.001 (0.194)	Loss 3.0093 (2.9898)	Prec@1 30.078 (30.486)	Prec@5 60.938 (59.683)
Epoch: [55][1500/7045]	Time 0.576 (0.259)	Data 0.519 (0.194)	Loss 2.9487 (2.9896)	Prec@1 30.859 (30.490)	Prec@5 60.156 (59.692)
Epoch: [55][1510/7045]	Time 0.194 (0.259)	Data 0.142 (0.194)	Loss 3.1633 (2.9900)	Prec@1 32.422 (30.481)	Prec@5 58.203 (59.685)
Epoch: [55][1520/7045]	Time 0.370 (0.259)	Data 0.313 (0.194)	Loss 3.0490 (2.9898)	Prec@1 30.469 (30.482)	Prec@5 59.375 (59.684)
Epoch: [55][1530/7045]	Time 0.243 (0.259)	Data 0.193 (0.194)	Loss 3.0097 (2.9902)	Prec@1 30.078 (30.483)	Prec@5 58.984 (59.682)
Epoch: [55][1540/7045]	Time 0.287 (0.259)	Data 0.235 (0.194)	Loss 2.9695 (2.9898)	Prec@1 29.688 (30.489)	Prec@5 61.328 (59.690)
Epoch: [55][1550/7045]	Time 0.098 (0.259)	Data 0.041 (0.194)	Loss 3.0466 (2.9895)	Prec@1 29.297 (30.501)	Prec@5 57.812 (59.693)
Epoch: [55][1560/7045]	Time 0.665 (0.259)	Data 0.613 (0.194)	Loss 3.2708 (2.9897)	Prec@1 29.297 (30.492)	Prec@5 54.297 (59.693)
Epoch: [55][1570/7045]	Time 0.237 (0.259)	Data 0.185 (0.194)	Loss 3.0870 (2.9901)	Prec@1 31.250 (30.489)	Prec@5 57.812 (59.684)
Epoch: [55][1580/7045]	Time 0.144 (0.259)	Data 0.092 (0.194)	Loss 2.8767 (2.9906)	Prec@1 33.984 (30.485)	Prec@5 65.234 (59.675)
Epoch: [55][1590/7045]	Time 0.108 (0.259)	Data 0.004 (0.194)	Loss 3.3160 (2.9910)	Prec@1 27.344 (30.478)	Prec@5 48.828 (59.659)
Epoch: [55][1600/7045]	Time 0.103 (0.259)	Data 0.001 (0.194)	Loss 3.1420 (2.9909)	Prec@1 29.688 (30.478)	Prec@5 55.859 (59.661)
Epoch: [55][1610/7045]	Time 0.101 (0.259)	Data 0.001 (0.194)	Loss 2.7904 (2.9907)	Prec@1 35.547 (30.482)	Prec@5 62.500 (59.663)
Epoch: [55][1620/7045]	Time 0.111 (0.259)	Data 0.058 (0.193)	Loss 3.2390 (2.9911)	Prec@1 26.172 (30.468)	Prec@5 56.641 (59.655)
Epoch: [55][1630/7045]	Time 0.111 (0.259)	Data 0.028 (0.193)	Loss 3.2046 (2.9909)	Prec@1 28.125 (30.475)	Prec@5 55.078 (59.658)
Epoch: [55][1640/7045]	Time 0.292 (0.259)	Data 0.241 (0.193)	Loss 3.1259 (2.9906)	Prec@1 28.516 (30.485)	Prec@5 58.594 (59.664)
Epoch: [55][1650/7045]	Time 0.551 (0.259)	Data 0.499 (0.194)	Loss 2.9015 (2.9907)	Prec@1 34.375 (30.481)	Prec@5 60.938 (59.661)
Epoch: [55][1660/7045]	Time 0.244 (0.259)	Data 0.192 (0.193)	Loss 3.2760 (2.9908)	Prec@1 25.391 (30.474)	Prec@5 55.469 (59.663)
Epoch: [55][1670/7045]	Time 0.513 (0.259)	Data 0.463 (0.194)	Loss 2.8669 (2.9908)	Prec@1 30.859 (30.474)	Prec@5 60.938 (59.658)
Epoch: [55][1680/7045]	Time 0.326 (0.259)	Data 0.274 (0.193)	Loss 2.8298 (2.9907)	Prec@1 28.906 (30.480)	Prec@5 60.547 (59.656)
Epoch: [55][1690/7045]	Time 0.101 (0.259)	Data 0.001 (0.193)	Loss 3.0302 (2.9909)	Prec@1 31.250 (30.480)	Prec@5 59.766 (59.653)
Epoch: [55][1700/7045]	Time 0.556 (0.259)	Data 0.504 (0.194)	Loss 3.1992 (2.9912)	Prec@1 24.219 (30.469)	Prec@5 57.422 (59.650)
Epoch: [55][1710/7045]	Time 0.144 (0.259)	Data 0.093 (0.193)	Loss 2.9063 (2.9911)	Prec@1 28.125 (30.466)	Prec@5 60.156 (59.653)
Epoch: [55][1720/7045]	Time 0.101 (0.259)	Data 0.001 (0.193)	Loss 3.1227 (2.9911)	Prec@1 29.297 (30.469)	Prec@5 59.375 (59.652)
Epoch: [55][1730/7045]	Time 0.102 (0.259)	Data 0.023 (0.193)	Loss 3.1333 (2.9914)	Prec@1 30.078 (30.460)	Prec@5 56.641 (59.650)
Epoch: [55][1740/7045]	Time 0.172 (0.259)	Data 0.121 (0.193)	Loss 3.0507 (2.9911)	Prec@1 29.297 (30.462)	Prec@5 60.156 (59.656)
Epoch: [55][1750/7045]	Time 0.100 (0.259)	Data 0.021 (0.194)	Loss 2.8813 (2.9912)	Prec@1 30.469 (30.454)	Prec@5 59.375 (59.658)
Epoch: [55][1760/7045]	Time 0.102 (0.259)	Data 0.005 (0.194)	Loss 3.0172 (2.9910)	Prec@1 29.688 (30.455)	Prec@5 57.422 (59.665)
Epoch: [55][1770/7045]	Time 0.254 (0.259)	Data 0.202 (0.194)	Loss 3.0186 (2.9909)	Prec@1 28.906 (30.456)	Prec@5 57.031 (59.664)
Epoch: [55][1780/7045]	Time 0.303 (0.259)	Data 0.253 (0.194)	Loss 3.1779 (2.9915)	Prec@1 30.078 (30.447)	Prec@5 52.734 (59.650)
Epoch: [55][1790/7045]	Time 0.409 (0.259)	Data 0.350 (0.194)	Loss 2.9148 (2.9913)	Prec@1 29.297 (30.451)	Prec@5 61.328 (59.657)
Epoch: [55][1800/7045]	Time 0.102 (0.259)	Data 0.001 (0.194)	Loss 3.0132 (2.9917)	Prec@1 27.734 (30.440)	Prec@5 55.469 (59.640)
Epoch: [55][1810/7045]	Time 0.172 (0.259)	Data 0.121 (0.194)	Loss 3.1562 (2.9918)	Prec@1 26.172 (30.436)	Prec@5 59.766 (59.640)
Epoch: [55][1820/7045]	Time 0.140 (0.259)	Data 0.090 (0.194)	Loss 2.9703 (2.9920)	Prec@1 28.906 (30.434)	Prec@5 58.984 (59.635)
Epoch: [55][1830/7045]	Time 0.236 (0.259)	Data 0.187 (0.194)	Loss 3.0359 (2.9924)	Prec@1 32.031 (30.432)	Prec@5 58.984 (59.626)
Epoch: [55][1840/7045]	Time 0.268 (0.259)	Data 0.217 (0.194)	Loss 3.0669 (2.9925)	Prec@1 26.172 (30.434)	Prec@5 56.641 (59.628)
Epoch: [55][1850/7045]	Time 0.562 (0.259)	Data 0.510 (0.194)	Loss 3.0412 (2.9928)	Prec@1 33.984 (30.430)	Prec@5 58.203 (59.623)
Epoch: [55][1860/7045]	Time 0.102 (0.259)	Data 0.005 (0.194)	Loss 3.0395 (2.9933)	Prec@1 27.344 (30.422)	Prec@5 55.469 (59.611)
Epoch: [55][1870/7045]	Time 0.323 (0.259)	Data 0.271 (0.194)	Loss 3.1058 (2.9934)	Prec@1 31.641 (30.416)	Prec@5 54.688 (59.608)
Epoch: [55][1880/7045]	Time 0.100 (0.259)	Data 0.006 (0.194)	Loss 3.0893 (2.9937)	Prec@1 24.219 (30.409)	Prec@5 59.766 (59.599)
Epoch: [55][1890/7045]	Time 0.203 (0.259)	Data 0.152 (0.194)	Loss 3.1112 (2.9938)	Prec@1 29.297 (30.409)	Prec@5 55.859 (59.596)
Epoch: [55][1900/7045]	Time 0.517 (0.259)	Data 0.466 (0.194)	Loss 3.1739 (2.9940)	Prec@1 28.125 (30.407)	Prec@5 57.422 (59.602)
Epoch: [55][1910/7045]	Time 0.103 (0.259)	Data 0.051 (0.194)	Loss 3.1238 (2.9940)	Prec@1 26.172 (30.409)	Prec@5 57.422 (59.605)
Epoch: [55][1920/7045]	Time 0.407 (0.259)	Data 0.346 (0.194)	Loss 2.9611 (2.9940)	Prec@1 32.031 (30.415)	Prec@5 59.375 (59.600)
Epoch: [55][1930/7045]	Time 0.483 (0.259)	Data 0.425 (0.194)	Loss 3.1863 (2.9942)	Prec@1 27.344 (30.412)	Prec@5 56.641 (59.599)
Epoch: [55][1940/7045]	Time 0.110 (0.259)	Data 0.001 (0.194)	Loss 3.0619 (2.9946)	Prec@1 29.297 (30.412)	Prec@5 59.766 (59.596)
Epoch: [55][1950/7045]	Time 0.398 (0.259)	Data 0.346 (0.194)	Loss 2.9916 (2.9943)	Prec@1 29.688 (30.414)	Prec@5 57.031 (59.598)
Epoch: [55][1960/7045]	Time 0.102 (0.259)	Data 0.022 (0.194)	Loss 2.9517 (2.9944)	Prec@1 33.594 (30.415)	Prec@5 60.547 (59.602)
Epoch: [55][1970/7045]	Time 0.706 (0.259)	Data 0.644 (0.194)	Loss 2.7035 (2.9943)	Prec@1 37.891 (30.419)	Prec@5 66.016 (59.603)
Epoch: [55][1980/7045]	Time 0.102 (0.259)	Data 0.049 (0.194)	Loss 3.0719 (2.9943)	Prec@1 29.688 (30.414)	Prec@5 57.812 (59.604)
Epoch: [55][1990/7045]	Time 0.102 (0.259)	Data 0.008 (0.194)	Loss 3.0924 (2.9945)	Prec@1 32.031 (30.412)	Prec@5 58.594 (59.598)
Epoch: [55][2000/7045]	Time 0.139 (0.259)	Data 0.087 (0.194)	Loss 2.8694 (2.9946)	Prec@1 31.641 (30.410)	Prec@5 62.891 (59.599)
Epoch: [55][2010/7045]	Time 0.448 (0.259)	Data 0.396 (0.194)	Loss 2.9721 (2.9944)	Prec@1 32.031 (30.414)	Prec@5 60.938 (59.602)
Epoch: [55][2020/7045]	Time 0.103 (0.259)	Data 0.001 (0.194)	Loss 3.0654 (2.9942)	Prec@1 28.906 (30.420)	Prec@5 56.641 (59.608)
Epoch: [55][2030/7045]	Time 0.707 (0.259)	Data 0.650 (0.194)	Loss 2.8558 (2.9942)	Prec@1 36.719 (30.423)	Prec@5 63.281 (59.605)
Epoch: [55][2040/7045]	Time 0.100 (0.259)	Data 0.049 (0.193)	Loss 2.9180 (2.9941)	Prec@1 31.250 (30.423)	Prec@5 59.766 (59.599)
Epoch: [55][2050/7045]	Time 0.674 (0.259)	Data 0.613 (0.193)	Loss 2.8576 (2.9940)	Prec@1 32.812 (30.421)	Prec@5 61.328 (59.597)
Epoch: [55][2060/7045]	Time 0.157 (0.259)	Data 0.105 (0.193)	Loss 2.7947 (2.9940)	Prec@1 35.547 (30.423)	Prec@5 62.891 (59.592)
Epoch: [55][2070/7045]	Time 0.360 (0.259)	Data 0.309 (0.193)	Loss 3.0311 (2.9941)	Prec@1 28.125 (30.424)	Prec@5 60.938 (59.591)
Epoch: [55][2080/7045]	Time 0.103 (0.259)	Data 0.006 (0.193)	Loss 2.9388 (2.9936)	Prec@1 28.125 (30.426)	Prec@5 60.938 (59.598)
Epoch: [55][2090/7045]	Time 0.123 (0.259)	Data 0.071 (0.193)	Loss 3.1901 (2.9937)	Prec@1 25.391 (30.425)	Prec@5 56.250 (59.599)
Epoch: [55][2100/7045]	Time 0.676 (0.259)	Data 0.625 (0.193)	Loss 3.1566 (2.9937)	Prec@1 29.297 (30.426)	Prec@5 55.078 (59.595)
Epoch: [55][2110/7045]	Time 0.102 (0.259)	Data 0.001 (0.193)	Loss 2.9969 (2.9939)	Prec@1 28.125 (30.423)	Prec@5 57.812 (59.592)
Epoch: [55][2120/7045]	Time 0.419 (0.259)	Data 0.359 (0.193)	Loss 2.9104 (2.9939)	Prec@1 32.422 (30.421)	Prec@5 64.844 (59.591)
Epoch: [55][2130/7045]	Time 0.261 (0.259)	Data 0.209 (0.193)	Loss 2.8108 (2.9938)	Prec@1 35.547 (30.423)	Prec@5 64.453 (59.593)
Epoch: [55][2140/7045]	Time 0.450 (0.259)	Data 0.398 (0.193)	Loss 2.9816 (2.9936)	Prec@1 33.594 (30.426)	Prec@5 59.375 (59.595)
Epoch: [55][2150/7045]	Time 0.184 (0.259)	Data 0.132 (0.193)	Loss 2.8653 (2.9934)	Prec@1 30.469 (30.429)	Prec@5 62.891 (59.593)
Epoch: [55][2160/7045]	Time 0.116 (0.259)	Data 0.064 (0.193)	Loss 3.0967 (2.9936)	Prec@1 27.734 (30.424)	Prec@5 58.203 (59.586)
Epoch: [55][2170/7045]	Time 0.464 (0.259)	Data 0.407 (0.193)	Loss 3.1583 (2.9937)	Prec@1 29.297 (30.426)	Prec@5 55.859 (59.581)
Epoch: [55][2180/7045]	Time 0.102 (0.258)	Data 0.005 (0.193)	Loss 2.9161 (2.9938)	Prec@1 31.250 (30.422)	Prec@5 59.375 (59.578)
Epoch: [55][2190/7045]	Time 0.243 (0.258)	Data 0.192 (0.193)	Loss 2.8710 (2.9940)	Prec@1 33.984 (30.413)	Prec@5 61.719 (59.574)
Epoch: [55][2200/7045]	Time 0.101 (0.258)	Data 0.031 (0.193)	Loss 2.8839 (2.9937)	Prec@1 33.594 (30.421)	Prec@5 62.891 (59.574)
Epoch: [55][2210/7045]	Time 0.146 (0.258)	Data 0.094 (0.193)	Loss 3.1024 (2.9937)	Prec@1 28.125 (30.419)	Prec@5 60.156 (59.579)
Epoch: [55][2220/7045]	Time 0.102 (0.258)	Data 0.003 (0.193)	Loss 2.9280 (2.9935)	Prec@1 31.250 (30.422)	Prec@5 60.938 (59.579)
Epoch: [55][2230/7045]	Time 0.102 (0.258)	Data 0.010 (0.193)	Loss 3.1187 (2.9935)	Prec@1 29.297 (30.419)	Prec@5 57.812 (59.578)
Epoch: [55][2240/7045]	Time 0.128 (0.258)	Data 0.077 (0.193)	Loss 2.6852 (2.9933)	Prec@1 36.328 (30.421)	Prec@5 62.891 (59.581)
Epoch: [55][2250/7045]	Time 0.245 (0.258)	Data 0.193 (0.193)	Loss 2.8004 (2.9931)	Prec@1 30.078 (30.417)	Prec@5 59.766 (59.582)
Epoch: [55][2260/7045]	Time 0.272 (0.258)	Data 0.220 (0.193)	Loss 2.7694 (2.9931)	Prec@1 36.719 (30.417)	Prec@5 58.594 (59.581)
Epoch: [55][2270/7045]	Time 0.215 (0.258)	Data 0.165 (0.193)	Loss 3.2700 (2.9931)	Prec@1 28.125 (30.418)	Prec@5 52.734 (59.578)
Epoch: [55][2280/7045]	Time 0.110 (0.258)	Data 0.060 (0.193)	Loss 2.9028 (2.9934)	Prec@1 37.109 (30.418)	Prec@5 62.891 (59.572)
Epoch: [55][2290/7045]	Time 0.199 (0.258)	Data 0.147 (0.193)	Loss 3.0224 (2.9934)	Prec@1 30.078 (30.419)	Prec@5 58.203 (59.571)
Epoch: [55][2300/7045]	Time 0.103 (0.258)	Data 0.001 (0.193)	Loss 3.1534 (2.9934)	Prec@1 27.344 (30.414)	Prec@5 59.766 (59.571)
Epoch: [55][2310/7045]	Time 0.256 (0.258)	Data 0.197 (0.193)	Loss 2.9247 (2.9934)	Prec@1 32.422 (30.417)	Prec@5 59.766 (59.570)
Epoch: [55][2320/7045]	Time 0.225 (0.258)	Data 0.173 (0.193)	Loss 3.1982 (2.9935)	Prec@1 23.438 (30.412)	Prec@5 54.688 (59.573)
Epoch: [55][2330/7045]	Time 0.354 (0.258)	Data 0.302 (0.193)	Loss 2.9664 (2.9933)	Prec@1 31.250 (30.416)	Prec@5 59.766 (59.579)
Epoch: [55][2340/7045]	Time 0.318 (0.258)	Data 0.267 (0.193)	Loss 3.0615 (2.9936)	Prec@1 28.125 (30.409)	Prec@5 56.641 (59.569)
Epoch: [55][2350/7045]	Time 0.103 (0.258)	Data 0.051 (0.193)	Loss 2.8542 (2.9937)	Prec@1 35.156 (30.407)	Prec@5 62.891 (59.568)
Epoch: [55][2360/7045]	Time 0.528 (0.258)	Data 0.477 (0.193)	Loss 2.9150 (2.9934)	Prec@1 30.859 (30.415)	Prec@5 60.938 (59.578)
Epoch: [55][2370/7045]	Time 0.143 (0.258)	Data 0.092 (0.193)	Loss 2.9869 (2.9933)	Prec@1 31.641 (30.416)	Prec@5 58.594 (59.582)
Epoch: [55][2380/7045]	Time 0.270 (0.258)	Data 0.219 (0.193)	Loss 2.8872 (2.9934)	Prec@1 31.250 (30.413)	Prec@5 62.500 (59.578)
Epoch: [55][2390/7045]	Time 0.102 (0.258)	Data 0.020 (0.193)	Loss 3.0476 (2.9931)	Prec@1 32.031 (30.420)	Prec@5 55.469 (59.587)
Epoch: [55][2400/7045]	Time 0.101 (0.258)	Data 0.001 (0.193)	Loss 3.1465 (2.9934)	Prec@1 31.641 (30.416)	Prec@5 57.422 (59.581)
Epoch: [55][2410/7045]	Time 0.369 (0.258)	Data 0.318 (0.193)	Loss 2.9775 (2.9933)	Prec@1 32.422 (30.418)	Prec@5 61.719 (59.582)
Epoch: [55][2420/7045]	Time 0.101 (0.258)	Data 0.001 (0.193)	Loss 2.8738 (2.9933)	Prec@1 31.641 (30.416)	Prec@5 61.328 (59.579)
Epoch: [55][2430/7045]	Time 0.223 (0.258)	Data 0.172 (0.193)	Loss 2.9158 (2.9932)	Prec@1 34.375 (30.421)	Prec@5 62.891 (59.580)
Epoch: [55][2440/7045]	Time 0.456 (0.258)	Data 0.399 (0.193)	Loss 2.9160 (2.9933)	Prec@1 32.812 (30.423)	Prec@5 60.156 (59.576)
Epoch: [55][2450/7045]	Time 0.103 (0.258)	Data 0.001 (0.193)	Loss 2.9433 (2.9932)	Prec@1 32.031 (30.422)	Prec@5 62.109 (59.577)
Epoch: [55][2460/7045]	Time 0.110 (0.258)	Data 0.027 (0.193)	Loss 3.0351 (2.9931)	Prec@1 28.516 (30.421)	Prec@5 58.203 (59.577)
Epoch: [55][2470/7045]	Time 0.102 (0.258)	Data 0.001 (0.193)	Loss 2.9628 (2.9930)	Prec@1 32.422 (30.425)	Prec@5 62.500 (59.579)
Epoch: [55][2480/7045]	Time 0.109 (0.258)	Data 0.014 (0.193)	Loss 3.1016 (2.9932)	Prec@1 27.734 (30.422)	Prec@5 57.031 (59.581)
Epoch: [55][2490/7045]	Time 0.292 (0.258)	Data 0.241 (0.193)	Loss 3.0046 (2.9930)	Prec@1 31.250 (30.421)	Prec@5 58.203 (59.582)
Epoch: [55][2500/7045]	Time 0.194 (0.258)	Data 0.142 (0.193)	Loss 2.9988 (2.9930)	Prec@1 30.469 (30.419)	Prec@5 57.422 (59.586)
Epoch: [55][2510/7045]	Time 0.559 (0.258)	Data 0.508 (0.193)	Loss 2.8326 (2.9930)	Prec@1 30.859 (30.417)	Prec@5 61.328 (59.585)
Epoch: [55][2520/7045]	Time 0.224 (0.258)	Data 0.174 (0.193)	Loss 2.9340 (2.9931)	Prec@1 31.250 (30.418)	Prec@5 60.156 (59.581)
Epoch: [55][2530/7045]	Time 0.226 (0.258)	Data 0.173 (0.193)	Loss 2.9590 (2.9933)	Prec@1 27.344 (30.416)	Prec@5 59.766 (59.573)
Epoch: [55][2540/7045]	Time 0.307 (0.258)	Data 0.256 (0.193)	Loss 3.0745 (2.9932)	Prec@1 28.125 (30.415)	Prec@5 59.766 (59.576)
Epoch: [55][2550/7045]	Time 0.250 (0.258)	Data 0.200 (0.193)	Loss 3.2629 (2.9933)	Prec@1 26.172 (30.414)	Prec@5 53.906 (59.572)
Epoch: [55][2560/7045]	Time 0.248 (0.258)	Data 0.197 (0.193)	Loss 2.9883 (2.9937)	Prec@1 24.609 (30.412)	Prec@5 60.547 (59.565)
Epoch: [55][2570/7045]	Time 0.261 (0.258)	Data 0.210 (0.193)	Loss 3.0857 (2.9937)	Prec@1 25.000 (30.408)	Prec@5 58.203 (59.567)
Epoch: [55][2580/7045]	Time 0.102 (0.258)	Data 0.001 (0.193)	Loss 2.7583 (2.9934)	Prec@1 36.328 (30.414)	Prec@5 67.188 (59.573)
Epoch: [55][2590/7045]	Time 0.459 (0.258)	Data 0.408 (0.193)	Loss 2.9046 (2.9933)	Prec@1 31.641 (30.419)	Prec@5 60.156 (59.576)
Epoch: [55][2600/7045]	Time 0.102 (0.258)	Data 0.006 (0.193)	Loss 3.0245 (2.9935)	Prec@1 28.906 (30.411)	Prec@5 58.594 (59.569)
Epoch: [55][2610/7045]	Time 0.102 (0.258)	Data 0.016 (0.193)	Loss 2.9948 (2.9935)	Prec@1 30.859 (30.409)	Prec@5 59.766 (59.568)
Epoch: [55][2620/7045]	Time 0.294 (0.258)	Data 0.244 (0.193)	Loss 2.9735 (2.9933)	Prec@1 33.203 (30.417)	Prec@5 58.203 (59.573)
Epoch: [55][2630/7045]	Time 0.395 (0.258)	Data 0.345 (0.193)	Loss 2.8872 (2.9933)	Prec@1 28.516 (30.415)	Prec@5 60.938 (59.575)
Epoch: [55][2640/7045]	Time 0.102 (0.258)	Data 0.001 (0.193)	Loss 3.0357 (2.9934)	Prec@1 30.469 (30.416)	Prec@5 56.641 (59.571)
Epoch: [55][2650/7045]	Time 0.404 (0.258)	Data 0.352 (0.193)	Loss 3.0201 (2.9934)	Prec@1 29.297 (30.415)	Prec@5 58.203 (59.572)
Epoch: [55][2660/7045]	Time 0.395 (0.258)	Data 0.344 (0.193)	Loss 2.7888 (2.9931)	Prec@1 33.984 (30.418)	Prec@5 63.672 (59.576)
Epoch: [55][2670/7045]	Time 0.102 (0.258)	Data 0.008 (0.193)	Loss 3.1753 (2.9931)	Prec@1 25.391 (30.418)	Prec@5 54.297 (59.578)
Epoch: [55][2680/7045]	Time 0.132 (0.258)	Data 0.079 (0.193)	Loss 3.2336 (2.9932)	Prec@1 26.562 (30.417)	Prec@5 51.562 (59.577)
Epoch: [55][2690/7045]	Time 0.103 (0.258)	Data 0.001 (0.193)	Loss 3.0908 (2.9932)	Prec@1 28.516 (30.419)	Prec@5 58.594 (59.576)
Epoch: [55][2700/7045]	Time 0.100 (0.258)	Data 0.011 (0.193)	Loss 2.9071 (2.9931)	Prec@1 33.203 (30.420)	Prec@5 60.547 (59.574)
Epoch: [55][2710/7045]	Time 0.102 (0.258)	Data 0.001 (0.193)	Loss 2.8107 (2.9929)	Prec@1 33.203 (30.424)	Prec@5 63.672 (59.577)
Epoch: [55][2720/7045]	Time 0.262 (0.258)	Data 0.209 (0.193)	Loss 3.0590 (2.9931)	Prec@1 27.344 (30.419)	Prec@5 58.203 (59.576)
Epoch: [55][2730/7045]	Time 0.101 (0.258)	Data 0.001 (0.193)	Loss 3.0447 (2.9932)	Prec@1 29.297 (30.416)	Prec@5 59.766 (59.571)
Epoch: [55][2740/7045]	Time 0.102 (0.258)	Data 0.008 (0.193)	Loss 3.1521 (2.9933)	Prec@1 25.000 (30.415)	Prec@5 55.859 (59.567)
Epoch: [55][2750/7045]	Time 0.133 (0.258)	Data 0.081 (0.193)	Loss 3.0082 (2.9935)	Prec@1 30.859 (30.415)	Prec@5 60.156 (59.566)
Epoch: [55][2760/7045]	Time 0.322 (0.258)	Data 0.272 (0.193)	Loss 3.1059 (2.9937)	Prec@1 26.562 (30.409)	Prec@5 55.078 (59.561)
Epoch: [55][2770/7045]	Time 0.182 (0.258)	Data 0.131 (0.193)	Loss 3.0484 (2.9937)	Prec@1 29.688 (30.411)	Prec@5 56.641 (59.559)
Epoch: [55][2780/7045]	Time 0.132 (0.258)	Data 0.080 (0.193)	Loss 2.9751 (2.9936)	Prec@1 30.078 (30.409)	Prec@5 60.547 (59.563)
Epoch: [55][2790/7045]	Time 0.326 (0.258)	Data 0.269 (0.193)	Loss 3.0818 (2.9937)	Prec@1 31.250 (30.410)	Prec@5 60.156 (59.562)
Epoch: [55][2800/7045]	Time 0.102 (0.258)	Data 0.001 (0.193)	Loss 2.8348 (2.9935)	Prec@1 37.109 (30.417)	Prec@5 67.578 (59.569)
Epoch: [55][2810/7045]	Time 0.550 (0.258)	Data 0.498 (0.193)	Loss 3.0743 (2.9934)	Prec@1 30.469 (30.420)	Prec@5 55.469 (59.566)
Epoch: [55][2820/7045]	Time 0.102 (0.258)	Data 0.001 (0.193)	Loss 3.0718 (2.9936)	Prec@1 28.516 (30.414)	Prec@5 60.547 (59.564)
Epoch: [55][2830/7045]	Time 0.104 (0.258)	Data 0.053 (0.193)	Loss 3.0043 (2.9935)	Prec@1 28.906 (30.416)	Prec@5 59.766 (59.568)
Epoch: [55][2840/7045]	Time 0.247 (0.258)	Data 0.196 (0.193)	Loss 2.9942 (2.9936)	Prec@1 33.984 (30.421)	Prec@5 58.984 (59.568)
Epoch: [55][2850/7045]	Time 0.373 (0.258)	Data 0.319 (0.193)	Loss 3.0291 (2.9936)	Prec@1 29.297 (30.419)	Prec@5 57.812 (59.567)
Epoch: [55][2860/7045]	Time 0.100 (0.258)	Data 0.047 (0.193)	Loss 2.7321 (2.9936)	Prec@1 39.844 (30.425)	Prec@5 64.844 (59.560)
Epoch: [55][2870/7045]	Time 0.105 (0.258)	Data 0.053 (0.193)	Loss 2.9066 (2.9935)	Prec@1 28.516 (30.426)	Prec@5 62.109 (59.565)
Epoch: [55][2880/7045]	Time 0.439 (0.258)	Data 0.387 (0.193)	Loss 3.0700 (2.9936)	Prec@1 31.250 (30.422)	Prec@5 58.594 (59.566)
Epoch: [55][2890/7045]	Time 0.104 (0.258)	Data 0.052 (0.193)	Loss 2.7001 (2.9935)	Prec@1 32.422 (30.421)	Prec@5 65.625 (59.570)
Epoch: [55][2900/7045]	Time 0.421 (0.258)	Data 0.361 (0.193)	Loss 3.0953 (2.9934)	Prec@1 30.469 (30.425)	Prec@5 56.641 (59.570)
Epoch: [55][2910/7045]	Time 0.681 (0.258)	Data 0.620 (0.193)	Loss 2.8984 (2.9933)	Prec@1 30.469 (30.428)	Prec@5 63.281 (59.575)
Epoch: [55][2920/7045]	Time 0.110 (0.258)	Data 0.059 (0.193)	Loss 3.2375 (2.9933)	Prec@1 26.172 (30.427)	Prec@5 57.422 (59.578)
Epoch: [55][2930/7045]	Time 0.644 (0.258)	Data 0.585 (0.193)	Loss 2.9324 (2.9931)	Prec@1 32.031 (30.428)	Prec@5 64.453 (59.582)
Epoch: [55][2940/7045]	Time 0.204 (0.258)	Data 0.147 (0.193)	Loss 2.9439 (2.9929)	Prec@1 25.781 (30.426)	Prec@5 59.375 (59.585)
Epoch: [55][2950/7045]	Time 0.112 (0.258)	Data 0.048 (0.193)	Loss 3.0434 (2.9928)	Prec@1 26.953 (30.428)	Prec@5 58.203 (59.587)
Epoch: [55][2960/7045]	Time 0.584 (0.258)	Data 0.533 (0.193)	Loss 3.1645 (2.9928)	Prec@1 27.734 (30.426)	Prec@5 56.641 (59.586)
Epoch: [55][2970/7045]	Time 0.102 (0.258)	Data 0.001 (0.193)	Loss 3.0677 (2.9930)	Prec@1 29.297 (30.424)	Prec@5 58.984 (59.580)
Epoch: [55][2980/7045]	Time 0.236 (0.258)	Data 0.185 (0.193)	Loss 2.8626 (2.9931)	Prec@1 31.250 (30.423)	Prec@5 62.500 (59.577)
Epoch: [55][2990/7045]	Time 0.343 (0.258)	Data 0.291 (0.193)	Loss 2.8821 (2.9929)	Prec@1 32.812 (30.427)	Prec@5 63.672 (59.578)
Epoch: [55][3000/7045]	Time 0.205 (0.258)	Data 0.153 (0.193)	Loss 2.9739 (2.9929)	Prec@1 29.688 (30.428)	Prec@5 57.031 (59.575)
Epoch: [55][3010/7045]	Time 0.445 (0.258)	Data 0.396 (0.193)	Loss 3.0679 (2.9930)	Prec@1 26.953 (30.426)	Prec@5 58.594 (59.573)
Epoch: [55][3020/7045]	Time 0.213 (0.258)	Data 0.161 (0.193)	Loss 2.9665 (2.9930)	Prec@1 30.859 (30.427)	Prec@5 58.594 (59.571)
Epoch: [55][3030/7045]	Time 0.258 (0.258)	Data 0.207 (0.193)	Loss 2.7933 (2.9929)	Prec@1 37.500 (30.435)	Prec@5 62.891 (59.572)
Epoch: [55][3040/7045]	Time 0.102 (0.258)	Data 0.001 (0.193)	Loss 2.9260 (2.9926)	Prec@1 30.078 (30.436)	Prec@5 56.641 (59.576)
Epoch: [55][3050/7045]	Time 0.103 (0.258)	Data 0.001 (0.193)	Loss 2.8611 (2.9929)	Prec@1 31.250 (30.436)	Prec@5 63.281 (59.573)
Epoch: [55][3060/7045]	Time 0.134 (0.258)	Data 0.083 (0.193)	Loss 3.2710 (2.9931)	Prec@1 26.953 (30.434)	Prec@5 53.125 (59.569)
Epoch: [55][3070/7045]	Time 0.227 (0.258)	Data 0.176 (0.193)	Loss 2.9848 (2.9930)	Prec@1 28.516 (30.433)	Prec@5 61.719 (59.570)
Epoch: [55][3080/7045]	Time 0.102 (0.258)	Data 0.001 (0.193)	Loss 2.8095 (2.9930)	Prec@1 32.422 (30.432)	Prec@5 62.891 (59.569)
Epoch: [55][3090/7045]	Time 0.103 (0.258)	Data 0.012 (0.193)	Loss 2.8398 (2.9931)	Prec@1 34.375 (30.429)	Prec@5 63.281 (59.564)
Epoch: [55][3100/7045]	Time 0.101 (0.258)	Data 0.009 (0.193)	Loss 2.9295 (2.9931)	Prec@1 32.812 (30.432)	Prec@5 61.328 (59.565)
Epoch: [55][3110/7045]	Time 0.356 (0.258)	Data 0.305 (0.193)	Loss 2.9454 (2.9930)	Prec@1 33.203 (30.433)	Prec@5 58.203 (59.565)
Epoch: [55][3120/7045]	Time 0.335 (0.258)	Data 0.282 (0.193)	Loss 2.9247 (2.9931)	Prec@1 32.422 (30.431)	Prec@5 62.500 (59.565)
Epoch: [55][3130/7045]	Time 0.266 (0.258)	Data 0.215 (0.193)	Loss 3.1522 (2.9931)	Prec@1 21.484 (30.430)	Prec@5 57.422 (59.564)
Epoch: [55][3140/7045]	Time 0.136 (0.258)	Data 0.082 (0.193)	Loss 3.0240 (2.9930)	Prec@1 31.641 (30.429)	Prec@5 59.375 (59.561)
Epoch: [55][3150/7045]	Time 0.176 (0.258)	Data 0.125 (0.193)	Loss 3.0535 (2.9931)	Prec@1 31.641 (30.432)	Prec@5 61.719 (59.560)
Epoch: [55][3160/7045]	Time 0.102 (0.258)	Data 0.001 (0.193)	Loss 3.0257 (2.9931)	Prec@1 33.203 (30.432)	Prec@5 59.375 (59.559)
Epoch: [55][3170/7045]	Time 0.274 (0.258)	Data 0.222 (0.193)	Loss 2.9030 (2.9931)	Prec@1 32.422 (30.431)	Prec@5 60.938 (59.559)
Epoch: [55][3180/7045]	Time 0.133 (0.258)	Data 0.082 (0.193)	Loss 2.9902 (2.9933)	Prec@1 28.516 (30.427)	Prec@5 58.594 (59.558)
Epoch: [55][3190/7045]	Time 0.330 (0.258)	Data 0.272 (0.193)	Loss 3.1672 (2.9934)	Prec@1 28.125 (30.425)	Prec@5 58.984 (59.558)
Epoch: [55][3200/7045]	Time 0.102 (0.258)	Data 0.001 (0.193)	Loss 2.9822 (2.9935)	Prec@1 31.250 (30.423)	Prec@5 60.547 (59.558)
Epoch: [55][3210/7045]	Time 0.396 (0.258)	Data 0.339 (0.193)	Loss 3.0412 (2.9934)	Prec@1 32.812 (30.426)	Prec@5 61.719 (59.561)
Epoch: [55][3220/7045]	Time 0.106 (0.258)	Data 0.053 (0.193)	Loss 3.0041 (2.9933)	Prec@1 25.391 (30.426)	Prec@5 56.641 (59.562)
Epoch: [55][3230/7045]	Time 0.533 (0.258)	Data 0.479 (0.193)	Loss 2.8080 (2.9934)	Prec@1 35.547 (30.425)	Prec@5 66.406 (59.562)
Epoch: [55][3240/7045]	Time 0.107 (0.258)	Data 0.047 (0.193)	Loss 2.8217 (2.9933)	Prec@1 30.859 (30.424)	Prec@5 62.109 (59.562)
Epoch: [55][3250/7045]	Time 0.126 (0.258)	Data 0.074 (0.193)	Loss 2.9626 (2.9933)	Prec@1 27.734 (30.420)	Prec@5 62.500 (59.563)
Epoch: [55][3260/7045]	Time 0.109 (0.258)	Data 0.057 (0.193)	Loss 3.0132 (2.9934)	Prec@1 31.250 (30.422)	Prec@5 57.422 (59.560)
Epoch: [55][3270/7045]	Time 0.104 (0.258)	Data 0.048 (0.193)	Loss 2.8429 (2.9935)	Prec@1 33.203 (30.422)	Prec@5 62.109 (59.559)
Epoch: [55][3280/7045]	Time 0.280 (0.258)	Data 0.229 (0.193)	Loss 3.0155 (2.9937)	Prec@1 28.516 (30.418)	Prec@5 57.031 (59.554)
Epoch: [55][3290/7045]	Time 0.435 (0.258)	Data 0.384 (0.193)	Loss 3.0626 (2.9936)	Prec@1 29.297 (30.418)	Prec@5 57.422 (59.557)
Epoch: [55][3300/7045]	Time 0.415 (0.258)	Data 0.364 (0.193)	Loss 2.8788 (2.9934)	Prec@1 30.859 (30.418)	Prec@5 64.062 (59.560)
Epoch: [55][3310/7045]	Time 0.570 (0.258)	Data 0.510 (0.193)	Loss 3.2254 (2.9936)	Prec@1 21.484 (30.413)	Prec@5 55.469 (59.557)
Epoch: [55][3320/7045]	Time 0.263 (0.258)	Data 0.213 (0.193)	Loss 2.8418 (2.9938)	Prec@1 25.781 (30.407)	Prec@5 64.062 (59.556)
Epoch: [55][3330/7045]	Time 0.290 (0.258)	Data 0.228 (0.193)	Loss 3.2338 (2.9939)	Prec@1 24.219 (30.406)	Prec@5 55.078 (59.554)
Epoch: [55][3340/7045]	Time 0.217 (0.258)	Data 0.166 (0.193)	Loss 2.9283 (2.9939)	Prec@1 32.031 (30.408)	Prec@5 60.547 (59.553)
Epoch: [55][3350/7045]	Time 0.230 (0.258)	Data 0.180 (0.193)	Loss 3.1557 (2.9940)	Prec@1 30.078 (30.410)	Prec@5 59.375 (59.550)
Epoch: [55][3360/7045]	Time 0.271 (0.258)	Data 0.219 (0.193)	Loss 2.8508 (2.9938)	Prec@1 33.984 (30.414)	Prec@5 63.281 (59.557)
Epoch: [55][3370/7045]	Time 0.380 (0.258)	Data 0.330 (0.193)	Loss 3.1228 (2.9939)	Prec@1 27.734 (30.413)	Prec@5 58.594 (59.558)
Epoch: [55][3380/7045]	Time 0.175 (0.258)	Data 0.124 (0.193)	Loss 2.8945 (2.9938)	Prec@1 32.812 (30.411)	Prec@5 60.938 (59.558)
Epoch: [55][3390/7045]	Time 0.102 (0.258)	Data 0.021 (0.193)	Loss 2.9149 (2.9937)	Prec@1 30.078 (30.413)	Prec@5 58.984 (59.558)
Epoch: [55][3400/7045]	Time 0.304 (0.258)	Data 0.253 (0.193)	Loss 2.9161 (2.9937)	Prec@1 32.422 (30.415)	Prec@5 61.719 (59.561)
Epoch: [55][3410/7045]	Time 0.101 (0.258)	Data 0.001 (0.193)	Loss 2.9761 (2.9937)	Prec@1 31.250 (30.417)	Prec@5 57.422 (59.562)
Epoch: [55][3420/7045]	Time 0.101 (0.258)	Data 0.005 (0.193)	Loss 3.0458 (2.9936)	Prec@1 26.562 (30.418)	Prec@5 58.984 (59.566)
Epoch: [55][3430/7045]	Time 0.110 (0.258)	Data 0.059 (0.193)	Loss 2.8830 (2.9936)	Prec@1 32.812 (30.420)	Prec@5 61.328 (59.567)
Epoch: [55][3440/7045]	Time 0.323 (0.258)	Data 0.272 (0.193)	Loss 2.8858 (2.9932)	Prec@1 32.812 (30.425)	Prec@5 60.938 (59.573)
Epoch: [55][3450/7045]	Time 0.102 (0.258)	Data 0.001 (0.193)	Loss 3.0960 (2.9933)	Prec@1 29.297 (30.427)	Prec@5 57.031 (59.574)
Epoch: [55][3460/7045]	Time 0.589 (0.258)	Data 0.538 (0.193)	Loss 2.7953 (2.9935)	Prec@1 34.766 (30.426)	Prec@5 59.766 (59.572)
Epoch: [55][3470/7045]	Time 0.112 (0.257)	Data 0.052 (0.193)	Loss 2.8106 (2.9936)	Prec@1 32.031 (30.425)	Prec@5 62.891 (59.569)
Epoch: [55][3480/7045]	Time 0.578 (0.257)	Data 0.527 (0.193)	Loss 2.9922 (2.9938)	Prec@1 31.641 (30.423)	Prec@5 58.984 (59.567)
Epoch: [55][3490/7045]	Time 0.308 (0.257)	Data 0.250 (0.193)	Loss 3.0225 (2.9937)	Prec@1 29.688 (30.422)	Prec@5 58.203 (59.569)
Epoch: [55][3500/7045]	Time 0.210 (0.257)	Data 0.159 (0.193)	Loss 2.9332 (2.9938)	Prec@1 30.469 (30.422)	Prec@5 59.375 (59.564)
Epoch: [55][3510/7045]	Time 0.607 (0.257)	Data 0.555 (0.193)	Loss 2.8770 (2.9939)	Prec@1 33.984 (30.422)	Prec@5 61.328 (59.559)
Epoch: [55][3520/7045]	Time 0.099 (0.257)	Data 0.001 (0.193)	Loss 2.9927 (2.9939)	Prec@1 29.297 (30.423)	Prec@5 57.422 (59.557)
Epoch: [55][3530/7045]	Time 0.629 (0.257)	Data 0.578 (0.193)	Loss 3.0790 (2.9941)	Prec@1 30.078 (30.420)	Prec@5 57.812 (59.553)
Epoch: [55][3540/7045]	Time 0.232 (0.257)	Data 0.181 (0.192)	Loss 2.7998 (2.9940)	Prec@1 35.547 (30.418)	Prec@5 64.453 (59.559)
Epoch: [55][3550/7045]	Time 0.530 (0.257)	Data 0.479 (0.192)	Loss 2.9453 (2.9940)	Prec@1 28.516 (30.418)	Prec@5 61.719 (59.559)
Epoch: [55][3560/7045]	Time 0.109 (0.257)	Data 0.058 (0.192)	Loss 2.8596 (2.9940)	Prec@1 34.375 (30.422)	Prec@5 62.891 (59.562)
Epoch: [55][3570/7045]	Time 0.234 (0.257)	Data 0.183 (0.192)	Loss 3.0496 (2.9941)	Prec@1 33.984 (30.424)	Prec@5 57.812 (59.560)
Epoch: [55][3580/7045]	Time 0.260 (0.257)	Data 0.210 (0.192)	Loss 3.1807 (2.9942)	Prec@1 27.734 (30.422)	Prec@5 58.984 (59.559)
Epoch: [55][3590/7045]	Time 0.111 (0.257)	Data 0.057 (0.192)	Loss 2.8153 (2.9941)	Prec@1 36.719 (30.423)	Prec@5 64.844 (59.559)
Epoch: [55][3600/7045]	Time 0.110 (0.257)	Data 0.055 (0.192)	Loss 3.0303 (2.9941)	Prec@1 29.688 (30.423)	Prec@5 59.375 (59.560)
Epoch: [55][3610/7045]	Time 0.100 (0.257)	Data 0.049 (0.192)	Loss 3.0919 (2.9941)	Prec@1 28.906 (30.421)	Prec@5 54.688 (59.557)
Epoch: [55][3620/7045]	Time 0.100 (0.257)	Data 0.011 (0.192)	Loss 2.8041 (2.9941)	Prec@1 30.469 (30.420)	Prec@5 64.844 (59.560)
Epoch: [55][3630/7045]	Time 0.288 (0.257)	Data 0.236 (0.193)	Loss 3.0050 (2.9942)	Prec@1 29.297 (30.418)	Prec@5 57.031 (59.558)
Epoch: [55][3640/7045]	Time 0.107 (0.257)	Data 0.055 (0.192)	Loss 3.1486 (2.9943)	Prec@1 26.172 (30.418)	Prec@5 58.203 (59.557)
Epoch: [55][3650/7045]	Time 0.170 (0.257)	Data 0.118 (0.192)	Loss 2.9992 (2.9943)	Prec@1 32.031 (30.415)	Prec@5 62.109 (59.557)
Epoch: [55][3660/7045]	Time 0.404 (0.257)	Data 0.353 (0.192)	Loss 2.8452 (2.9942)	Prec@1 30.859 (30.413)	Prec@5 60.547 (59.559)
Epoch: [55][3670/7045]	Time 0.101 (0.257)	Data 0.001 (0.192)	Loss 3.1086 (2.9943)	Prec@1 26.562 (30.411)	Prec@5 57.812 (59.555)
Epoch: [55][3680/7045]	Time 0.393 (0.257)	Data 0.342 (0.192)	Loss 2.9599 (2.9943)	Prec@1 30.859 (30.409)	Prec@5 59.375 (59.555)
Epoch: [55][3690/7045]	Time 0.472 (0.257)	Data 0.421 (0.193)	Loss 2.9256 (2.9943)	Prec@1 27.734 (30.406)	Prec@5 62.891 (59.559)
Epoch: [55][3700/7045]	Time 0.100 (0.257)	Data 0.001 (0.193)	Loss 3.0029 (2.9943)	Prec@1 28.516 (30.408)	Prec@5 59.766 (59.559)
Epoch: [55][3710/7045]	Time 0.453 (0.257)	Data 0.401 (0.193)	Loss 2.9900 (2.9945)	Prec@1 32.031 (30.404)	Prec@5 58.594 (59.554)
Epoch: [55][3720/7045]	Time 0.550 (0.257)	Data 0.496 (0.193)	Loss 3.0184 (2.9946)	Prec@1 29.688 (30.403)	Prec@5 55.469 (59.550)
Epoch: [55][3730/7045]	Time 0.303 (0.257)	Data 0.251 (0.193)	Loss 2.9447 (2.9946)	Prec@1 29.688 (30.402)	Prec@5 59.766 (59.552)
Epoch: [55][3740/7045]	Time 0.301 (0.257)	Data 0.250 (0.193)	Loss 2.9536 (2.9947)	Prec@1 35.547 (30.405)	Prec@5 61.328 (59.553)
Epoch: [55][3750/7045]	Time 0.170 (0.257)	Data 0.119 (0.193)	Loss 3.0439 (2.9945)	Prec@1 29.688 (30.408)	Prec@5 55.859 (59.556)
Epoch: [55][3760/7045]	Time 0.173 (0.257)	Data 0.122 (0.193)	Loss 2.9901 (2.9945)	Prec@1 30.078 (30.407)	Prec@5 59.375 (59.557)
Epoch: [55][3770/7045]	Time 0.102 (0.257)	Data 0.008 (0.192)	Loss 2.9810 (2.9945)	Prec@1 34.375 (30.412)	Prec@5 59.375 (59.557)
Epoch: [55][3780/7045]	Time 0.222 (0.257)	Data 0.171 (0.192)	Loss 3.2197 (2.9945)	Prec@1 27.344 (30.408)	Prec@5 55.859 (59.556)
Epoch: [55][3790/7045]	Time 0.238 (0.257)	Data 0.186 (0.192)	Loss 2.9984 (2.9945)	Prec@1 25.781 (30.407)	Prec@5 61.328 (59.558)
Epoch: [55][3800/7045]	Time 0.439 (0.257)	Data 0.381 (0.193)	Loss 3.0807 (2.9944)	Prec@1 26.172 (30.407)	Prec@5 56.250 (59.559)
Epoch: [55][3810/7045]	Time 0.186 (0.257)	Data 0.136 (0.192)	Loss 2.9106 (2.9946)	Prec@1 33.594 (30.405)	Prec@5 60.156 (59.554)
Epoch: [55][3820/7045]	Time 0.320 (0.257)	Data 0.269 (0.192)	Loss 2.9488 (2.9946)	Prec@1 30.078 (30.407)	Prec@5 63.281 (59.557)
Epoch: [55][3830/7045]	Time 0.122 (0.257)	Data 0.071 (0.192)	Loss 2.9557 (2.9947)	Prec@1 28.906 (30.406)	Prec@5 57.422 (59.555)
Epoch: [55][3840/7045]	Time 0.211 (0.257)	Data 0.159 (0.192)	Loss 3.2370 (2.9947)	Prec@1 23.828 (30.403)	Prec@5 53.906 (59.555)
Epoch: [55][3850/7045]	Time 0.160 (0.257)	Data 0.109 (0.192)	Loss 3.0078 (2.9947)	Prec@1 30.078 (30.404)	Prec@5 60.938 (59.555)
Epoch: [55][3860/7045]	Time 0.106 (0.257)	Data 0.054 (0.192)	Loss 3.1300 (2.9947)	Prec@1 29.297 (30.404)	Prec@5 59.375 (59.554)
Epoch: [55][3870/7045]	Time 0.424 (0.257)	Data 0.374 (0.192)	Loss 2.8583 (2.9947)	Prec@1 30.859 (30.403)	Prec@5 61.719 (59.554)
Epoch: [55][3880/7045]	Time 0.103 (0.257)	Data 0.001 (0.192)	Loss 3.0891 (2.9948)	Prec@1 25.000 (30.402)	Prec@5 58.203 (59.551)
Epoch: [55][3890/7045]	Time 0.433 (0.257)	Data 0.382 (0.192)	Loss 2.9902 (2.9947)	Prec@1 30.859 (30.403)	Prec@5 60.938 (59.555)
Epoch: [55][3900/7045]	Time 0.236 (0.257)	Data 0.178 (0.192)	Loss 2.7298 (2.9947)	Prec@1 36.719 (30.403)	Prec@5 64.453 (59.559)
Epoch: [55][3910/7045]	Time 0.472 (0.257)	Data 0.412 (0.192)	Loss 2.6667 (2.9947)	Prec@1 37.891 (30.405)	Prec@5 65.625 (59.557)
Epoch: [55][3920/7045]	Time 0.218 (0.257)	Data 0.167 (0.192)	Loss 2.7167 (2.9946)	Prec@1 32.812 (30.405)	Prec@5 70.312 (59.561)
Epoch: [55][3930/7045]	Time 0.102 (0.257)	Data 0.006 (0.192)	Loss 3.0503 (2.9945)	Prec@1 30.078 (30.404)	Prec@5 57.422 (59.563)
Epoch: [55][3940/7045]	Time 0.102 (0.257)	Data 0.019 (0.192)	Loss 2.9030 (2.9944)	Prec@1 32.422 (30.410)	Prec@5 62.891 (59.565)
Epoch: [55][3950/7045]	Time 0.102 (0.257)	Data 0.001 (0.192)	Loss 2.8821 (2.9942)	Prec@1 33.203 (30.416)	Prec@5 62.891 (59.571)
Epoch: [55][3960/7045]	Time 0.240 (0.257)	Data 0.188 (0.192)	Loss 2.8714 (2.9942)	Prec@1 30.469 (30.414)	Prec@5 60.938 (59.571)
Epoch: [55][3970/7045]	Time 0.387 (0.257)	Data 0.329 (0.192)	Loss 2.9765 (2.9941)	Prec@1 32.422 (30.417)	Prec@5 58.594 (59.576)
Epoch: [55][3980/7045]	Time 0.294 (0.257)	Data 0.243 (0.192)	Loss 3.0357 (2.9942)	Prec@1 28.516 (30.414)	Prec@5 57.031 (59.576)
Epoch: [55][3990/7045]	Time 0.101 (0.257)	Data 0.008 (0.192)	Loss 3.1271 (2.9944)	Prec@1 24.609 (30.409)	Prec@5 56.641 (59.573)
Epoch: [55][4000/7045]	Time 0.331 (0.257)	Data 0.278 (0.192)	Loss 2.9655 (2.9944)	Prec@1 29.297 (30.410)	Prec@5 61.719 (59.575)
Epoch: [55][4010/7045]	Time 0.101 (0.257)	Data 0.001 (0.192)	Loss 3.0842 (2.9944)	Prec@1 30.078 (30.411)	Prec@5 57.812 (59.575)
Epoch: [55][4020/7045]	Time 0.160 (0.257)	Data 0.109 (0.192)	Loss 2.9167 (2.9944)	Prec@1 34.766 (30.411)	Prec@5 62.500 (59.577)
Epoch: [55][4030/7045]	Time 0.663 (0.257)	Data 0.605 (0.192)	Loss 2.9390 (2.9945)	Prec@1 30.469 (30.410)	Prec@5 57.812 (59.576)
Epoch: [55][4040/7045]	Time 0.109 (0.257)	Data 0.001 (0.192)	Loss 2.9688 (2.9945)	Prec@1 30.078 (30.411)	Prec@5 59.375 (59.577)
Epoch: [55][4050/7045]	Time 0.498 (0.257)	Data 0.447 (0.192)	Loss 2.9514 (2.9944)	Prec@1 27.344 (30.412)	Prec@5 59.375 (59.576)
Epoch: [55][4060/7045]	Time 0.102 (0.257)	Data 0.010 (0.192)	Loss 2.7583 (2.9945)	Prec@1 32.422 (30.409)	Prec@5 62.891 (59.574)
Epoch: [55][4070/7045]	Time 0.100 (0.257)	Data 0.001 (0.192)	Loss 3.0032 (2.9946)	Prec@1 25.781 (30.407)	Prec@5 60.156 (59.571)
Epoch: [55][4080/7045]	Time 0.102 (0.257)	Data 0.001 (0.192)	Loss 3.0915 (2.9945)	Prec@1 27.344 (30.407)	Prec@5 59.766 (59.572)
Epoch: [55][4090/7045]	Time 0.637 (0.257)	Data 0.585 (0.192)	Loss 2.9619 (2.9947)	Prec@1 29.297 (30.405)	Prec@5 65.625 (59.572)
Epoch: [55][4100/7045]	Time 0.267 (0.257)	Data 0.208 (0.192)	Loss 3.1998 (2.9947)	Prec@1 29.297 (30.404)	Prec@5 54.688 (59.569)
Epoch: [55][4110/7045]	Time 0.526 (0.257)	Data 0.475 (0.192)	Loss 3.2065 (2.9949)	Prec@1 26.172 (30.403)	Prec@5 53.906 (59.564)
Epoch: [55][4120/7045]	Time 0.178 (0.257)	Data 0.126 (0.192)	Loss 2.9931 (2.9950)	Prec@1 30.078 (30.400)	Prec@5 59.766 (59.561)
Epoch: [55][4130/7045]	Time 0.471 (0.257)	Data 0.420 (0.192)	Loss 3.0416 (2.9951)	Prec@1 33.594 (30.398)	Prec@5 60.547 (59.560)
Epoch: [55][4140/7045]	Time 0.323 (0.257)	Data 0.265 (0.192)	Loss 3.0548 (2.9949)	Prec@1 30.469 (30.402)	Prec@5 59.375 (59.565)
Epoch: [55][4150/7045]	Time 0.333 (0.257)	Data 0.274 (0.192)	Loss 2.7536 (2.9949)	Prec@1 32.812 (30.400)	Prec@5 64.844 (59.562)
Epoch: [55][4160/7045]	Time 0.263 (0.257)	Data 0.211 (0.192)	Loss 2.8214 (2.9951)	Prec@1 32.812 (30.398)	Prec@5 66.016 (59.559)
Epoch: [55][4170/7045]	Time 0.141 (0.257)	Data 0.090 (0.192)	Loss 3.1287 (2.9952)	Prec@1 27.734 (30.396)	Prec@5 56.641 (59.554)
Epoch: [55][4180/7045]	Time 0.457 (0.257)	Data 0.403 (0.192)	Loss 3.0773 (2.9952)	Prec@1 29.297 (30.396)	Prec@5 58.594 (59.555)
Epoch: [55][4190/7045]	Time 0.112 (0.257)	Data 0.061 (0.192)	Loss 2.9828 (2.9952)	Prec@1 32.031 (30.396)	Prec@5 59.375 (59.554)
Epoch: [55][4200/7045]	Time 0.598 (0.257)	Data 0.541 (0.192)	Loss 3.0189 (2.9952)	Prec@1 30.078 (30.394)	Prec@5 58.594 (59.552)
Epoch: [55][4210/7045]	Time 0.251 (0.257)	Data 0.193 (0.192)	Loss 3.1586 (2.9952)	Prec@1 26.953 (30.393)	Prec@5 56.641 (59.552)
Epoch: [55][4220/7045]	Time 0.376 (0.257)	Data 0.324 (0.192)	Loss 3.0603 (2.9953)	Prec@1 31.641 (30.390)	Prec@5 55.469 (59.549)
Epoch: [55][4230/7045]	Time 0.174 (0.257)	Data 0.123 (0.192)	Loss 3.0743 (2.9951)	Prec@1 29.688 (30.392)	Prec@5 57.422 (59.553)
Epoch: [55][4240/7045]	Time 0.205 (0.257)	Data 0.155 (0.192)	Loss 2.8908 (2.9952)	Prec@1 33.984 (30.392)	Prec@5 59.766 (59.552)
Epoch: [55][4250/7045]	Time 0.157 (0.257)	Data 0.107 (0.192)	Loss 3.1987 (2.9951)	Prec@1 27.344 (30.395)	Prec@5 56.250 (59.551)
Epoch: [55][4260/7045]	Time 0.375 (0.257)	Data 0.316 (0.192)	Loss 3.0811 (2.9954)	Prec@1 27.734 (30.392)	Prec@5 55.469 (59.545)
Epoch: [55][4270/7045]	Time 0.102 (0.257)	Data 0.001 (0.192)	Loss 2.8508 (2.9953)	Prec@1 33.594 (30.396)	Prec@5 62.891 (59.546)
Epoch: [55][4280/7045]	Time 0.128 (0.257)	Data 0.078 (0.192)	Loss 2.9680 (2.9953)	Prec@1 32.422 (30.396)	Prec@5 54.297 (59.544)
Epoch: [55][4290/7045]	Time 0.444 (0.257)	Data 0.392 (0.192)	Loss 3.0213 (2.9954)	Prec@1 27.734 (30.393)	Prec@5 58.203 (59.539)
Epoch: [55][4300/7045]	Time 0.219 (0.257)	Data 0.167 (0.192)	Loss 2.9004 (2.9955)	Prec@1 31.641 (30.391)	Prec@5 62.500 (59.539)
Epoch: [55][4310/7045]	Time 0.171 (0.256)	Data 0.120 (0.192)	Loss 3.0077 (2.9954)	Prec@1 32.031 (30.392)	Prec@5 57.422 (59.538)
Epoch: [55][4320/7045]	Time 0.200 (0.256)	Data 0.149 (0.192)	Loss 2.8228 (2.9955)	Prec@1 32.422 (30.386)	Prec@5 63.281 (59.536)
Epoch: [55][4330/7045]	Time 0.338 (0.256)	Data 0.281 (0.192)	Loss 2.8241 (2.9954)	Prec@1 32.031 (30.387)	Prec@5 59.766 (59.536)
Epoch: [55][4340/7045]	Time 0.414 (0.256)	Data 0.363 (0.192)	Loss 2.9851 (2.9954)	Prec@1 29.688 (30.387)	Prec@5 56.250 (59.535)
Epoch: [55][4350/7045]	Time 0.349 (0.256)	Data 0.299 (0.192)	Loss 3.0210 (2.9955)	Prec@1 29.688 (30.383)	Prec@5 56.250 (59.533)
Epoch: [55][4360/7045]	Time 0.101 (0.256)	Data 0.007 (0.192)	Loss 3.0386 (2.9955)	Prec@1 30.078 (30.381)	Prec@5 60.547 (59.533)
Epoch: [55][4370/7045]	Time 0.102 (0.256)	Data 0.004 (0.192)	Loss 3.0753 (2.9954)	Prec@1 25.391 (30.381)	Prec@5 58.203 (59.534)
Epoch: [55][4380/7045]	Time 0.391 (0.256)	Data 0.340 (0.192)	Loss 2.7760 (2.9954)	Prec@1 35.156 (30.382)	Prec@5 67.188 (59.536)
Epoch: [55][4390/7045]	Time 0.184 (0.256)	Data 0.133 (0.192)	Loss 3.3109 (2.9955)	Prec@1 26.953 (30.383)	Prec@5 55.469 (59.533)
Epoch: [55][4400/7045]	Time 0.545 (0.256)	Data 0.494 (0.192)	Loss 2.8619 (2.9955)	Prec@1 29.688 (30.381)	Prec@5 65.234 (59.534)
Epoch: [55][4410/7045]	Time 0.207 (0.256)	Data 0.146 (0.192)	Loss 3.1348 (2.9956)	Prec@1 28.906 (30.379)	Prec@5 55.859 (59.531)
Epoch: [55][4420/7045]	Time 0.482 (0.256)	Data 0.431 (0.192)	Loss 3.1196 (2.9957)	Prec@1 27.734 (30.377)	Prec@5 56.641 (59.528)
Epoch: [55][4430/7045]	Time 0.452 (0.256)	Data 0.402 (0.192)	Loss 2.9402 (2.9956)	Prec@1 31.250 (30.377)	Prec@5 57.031 (59.527)
Epoch: [55][4440/7045]	Time 0.285 (0.256)	Data 0.234 (0.192)	Loss 3.0861 (2.9958)	Prec@1 29.688 (30.372)	Prec@5 58.203 (59.525)
Epoch: [55][4450/7045]	Time 0.158 (0.256)	Data 0.106 (0.192)	Loss 3.1887 (2.9959)	Prec@1 26.953 (30.371)	Prec@5 53.906 (59.520)
Epoch: [55][4460/7045]	Time 0.237 (0.256)	Data 0.186 (0.192)	Loss 2.9356 (2.9959)	Prec@1 30.859 (30.372)	Prec@5 60.938 (59.520)
Epoch: [55][4470/7045]	Time 0.203 (0.256)	Data 0.152 (0.192)	Loss 2.8892 (2.9960)	Prec@1 33.594 (30.373)	Prec@5 60.547 (59.517)
Epoch: [55][4480/7045]	Time 0.609 (0.256)	Data 0.559 (0.192)	Loss 3.1750 (2.9961)	Prec@1 26.172 (30.370)	Prec@5 54.688 (59.515)
Epoch: [55][4490/7045]	Time 0.103 (0.256)	Data 0.001 (0.192)	Loss 2.9465 (2.9960)	Prec@1 31.250 (30.373)	Prec@5 58.594 (59.517)
Epoch: [55][4500/7045]	Time 0.501 (0.256)	Data 0.444 (0.192)	Loss 3.1138 (2.9961)	Prec@1 28.516 (30.371)	Prec@5 57.422 (59.513)
Epoch: [55][4510/7045]	Time 0.125 (0.256)	Data 0.073 (0.192)	Loss 3.0595 (2.9962)	Prec@1 29.297 (30.371)	Prec@5 56.250 (59.512)
Epoch: [55][4520/7045]	Time 0.166 (0.256)	Data 0.114 (0.192)	Loss 2.9867 (2.9962)	Prec@1 30.078 (30.372)	Prec@5 61.328 (59.513)
Epoch: [55][4530/7045]	Time 0.154 (0.256)	Data 0.102 (0.192)	Loss 2.9712 (2.9962)	Prec@1 30.859 (30.372)	Prec@5 61.328 (59.515)
Epoch: [55][4540/7045]	Time 0.156 (0.256)	Data 0.105 (0.192)	Loss 3.1867 (2.9962)	Prec@1 28.516 (30.370)	Prec@5 58.203 (59.514)
Epoch: [55][4550/7045]	Time 0.096 (0.256)	Data 0.001 (0.192)	Loss 3.0321 (2.9963)	Prec@1 33.594 (30.369)	Prec@5 57.031 (59.511)
Epoch: [55][4560/7045]	Time 0.102 (0.256)	Data 0.025 (0.192)	Loss 3.0121 (2.9961)	Prec@1 29.297 (30.372)	Prec@5 59.766 (59.515)
Epoch: [55][4570/7045]	Time 0.260 (0.256)	Data 0.208 (0.192)	Loss 3.0952 (2.9962)	Prec@1 28.906 (30.370)	Prec@5 60.156 (59.513)
Epoch: [55][4580/7045]	Time 0.359 (0.256)	Data 0.307 (0.192)	Loss 3.1556 (2.9963)	Prec@1 24.219 (30.368)	Prec@5 57.812 (59.511)
Epoch: [55][4590/7045]	Time 0.313 (0.256)	Data 0.261 (0.192)	Loss 3.0013 (2.9964)	Prec@1 27.344 (30.368)	Prec@5 62.109 (59.509)
Epoch: [55][4600/7045]	Time 0.103 (0.256)	Data 0.051 (0.192)	Loss 2.8838 (2.9962)	Prec@1 31.250 (30.368)	Prec@5 64.062 (59.514)
Epoch: [55][4610/7045]	Time 0.384 (0.256)	Data 0.332 (0.192)	Loss 2.8098 (2.9962)	Prec@1 36.719 (30.370)	Prec@5 65.625 (59.515)
Epoch: [55][4620/7045]	Time 0.103 (0.256)	Data 0.050 (0.192)	Loss 3.0365 (2.9962)	Prec@1 32.812 (30.371)	Prec@5 62.109 (59.517)
Epoch: [55][4630/7045]	Time 0.254 (0.256)	Data 0.204 (0.192)	Loss 3.1369 (2.9962)	Prec@1 31.641 (30.372)	Prec@5 58.594 (59.518)
Epoch: [55][4640/7045]	Time 0.110 (0.256)	Data 0.058 (0.192)	Loss 2.9926 (2.9961)	Prec@1 28.125 (30.372)	Prec@5 58.203 (59.520)
Epoch: [55][4650/7045]	Time 0.395 (0.256)	Data 0.334 (0.192)	Loss 2.8749 (2.9960)	Prec@1 32.031 (30.373)	Prec@5 63.281 (59.522)
Epoch: [55][4660/7045]	Time 0.101 (0.256)	Data 0.001 (0.192)	Loss 2.9749 (2.9959)	Prec@1 30.469 (30.374)	Prec@5 59.766 (59.524)
Epoch: [55][4670/7045]	Time 0.284 (0.256)	Data 0.233 (0.192)	Loss 3.0078 (2.9959)	Prec@1 29.297 (30.376)	Prec@5 62.109 (59.527)
Epoch: [55][4680/7045]	Time 0.107 (0.256)	Data 0.055 (0.192)	Loss 2.8702 (2.9958)	Prec@1 33.594 (30.377)	Prec@5 60.547 (59.526)
Epoch: [55][4690/7045]	Time 0.112 (0.256)	Data 0.061 (0.192)	Loss 3.2355 (2.9958)	Prec@1 26.562 (30.378)	Prec@5 56.250 (59.527)
Epoch: [55][4700/7045]	Time 0.103 (0.256)	Data 0.001 (0.192)	Loss 3.0134 (2.9958)	Prec@1 33.984 (30.377)	Prec@5 58.203 (59.525)
Epoch: [55][4710/7045]	Time 0.229 (0.256)	Data 0.178 (0.192)	Loss 2.8984 (2.9957)	Prec@1 33.594 (30.378)	Prec@5 59.375 (59.526)
Epoch: [55][4720/7045]	Time 0.290 (0.256)	Data 0.239 (0.192)	Loss 3.0982 (2.9957)	Prec@1 29.297 (30.380)	Prec@5 56.641 (59.526)
Epoch: [55][4730/7045]	Time 0.102 (0.256)	Data 0.030 (0.192)	Loss 2.9067 (2.9957)	Prec@1 35.547 (30.382)	Prec@5 59.766 (59.527)
Epoch: [55][4740/7045]	Time 0.102 (0.256)	Data 0.001 (0.192)	Loss 3.1395 (2.9957)	Prec@1 28.906 (30.382)	Prec@5 56.641 (59.526)
Epoch: [55][4750/7045]	Time 0.184 (0.256)	Data 0.133 (0.192)	Loss 3.2118 (2.9956)	Prec@1 31.250 (30.384)	Prec@5 53.906 (59.526)
Epoch: [55][4760/7045]	Time 0.173 (0.256)	Data 0.121 (0.192)	Loss 3.0047 (2.9956)	Prec@1 32.422 (30.384)	Prec@5 61.328 (59.528)
Epoch: [55][4770/7045]	Time 0.420 (0.256)	Data 0.369 (0.192)	Loss 2.9092 (2.9955)	Prec@1 29.688 (30.386)	Prec@5 62.109 (59.531)
Epoch: [55][4780/7045]	Time 0.102 (0.256)	Data 0.046 (0.192)	Loss 2.9112 (2.9956)	Prec@1 30.078 (30.386)	Prec@5 58.203 (59.529)
Epoch: [55][4790/7045]	Time 0.370 (0.256)	Data 0.320 (0.192)	Loss 2.8416 (2.9955)	Prec@1 33.203 (30.389)	Prec@5 63.281 (59.531)
Epoch: [55][4800/7045]	Time 0.216 (0.256)	Data 0.158 (0.192)	Loss 2.9537 (2.9955)	Prec@1 26.953 (30.388)	Prec@5 61.328 (59.531)
Epoch: [55][4810/7045]	Time 0.101 (0.256)	Data 0.001 (0.192)	Loss 3.1050 (2.9956)	Prec@1 29.297 (30.388)	Prec@5 55.469 (59.530)
Epoch: [55][4820/7045]	Time 0.152 (0.256)	Data 0.101 (0.192)	Loss 2.9147 (2.9956)	Prec@1 34.375 (30.389)	Prec@5 59.766 (59.531)
Epoch: [55][4830/7045]	Time 0.102 (0.256)	Data 0.008 (0.192)	Loss 3.0295 (2.9955)	Prec@1 32.031 (30.391)	Prec@5 61.719 (59.533)
Epoch: [55][4840/7045]	Time 0.124 (0.256)	Data 0.072 (0.192)	Loss 2.9769 (2.9955)	Prec@1 31.250 (30.393)	Prec@5 58.984 (59.534)
Epoch: [55][4850/7045]	Time 0.142 (0.256)	Data 0.090 (0.192)	Loss 3.1446 (2.9956)	Prec@1 27.344 (30.392)	Prec@5 57.812 (59.532)
Epoch: [55][4860/7045]	Time 0.220 (0.256)	Data 0.168 (0.192)	Loss 2.9479 (2.9957)	Prec@1 29.688 (30.391)	Prec@5 63.281 (59.529)
Epoch: [55][4870/7045]	Time 0.196 (0.256)	Data 0.146 (0.192)	Loss 3.0139 (2.9956)	Prec@1 28.516 (30.391)	Prec@5 58.594 (59.530)
Epoch: [55][4880/7045]	Time 0.296 (0.256)	Data 0.245 (0.192)	Loss 2.9270 (2.9957)	Prec@1 31.250 (30.389)	Prec@5 59.766 (59.528)
Epoch: [55][4890/7045]	Time 0.602 (0.256)	Data 0.551 (0.192)	Loss 3.0540 (2.9957)	Prec@1 30.078 (30.387)	Prec@5 57.812 (59.528)
Epoch: [55][4900/7045]	Time 0.101 (0.256)	Data 0.001 (0.192)	Loss 2.8974 (2.9958)	Prec@1 31.641 (30.384)	Prec@5 60.938 (59.527)
Epoch: [55][4910/7045]	Time 0.472 (0.256)	Data 0.421 (0.192)	Loss 2.6493 (2.9958)	Prec@1 33.984 (30.385)	Prec@5 63.672 (59.527)
Epoch: [55][4920/7045]	Time 0.237 (0.256)	Data 0.186 (0.192)	Loss 3.1784 (2.9958)	Prec@1 27.734 (30.385)	Prec@5 55.078 (59.525)
Epoch: [55][4930/7045]	Time 0.529 (0.256)	Data 0.470 (0.192)	Loss 3.0856 (2.9958)	Prec@1 29.688 (30.386)	Prec@5 58.594 (59.523)
Epoch: [55][4940/7045]	Time 0.348 (0.256)	Data 0.298 (0.192)	Loss 3.1650 (2.9958)	Prec@1 28.906 (30.386)	Prec@5 57.422 (59.523)
Epoch: [55][4950/7045]	Time 0.387 (0.256)	Data 0.336 (0.192)	Loss 3.2483 (2.9959)	Prec@1 27.344 (30.387)	Prec@5 51.953 (59.521)
Epoch: [55][4960/7045]	Time 0.578 (0.256)	Data 0.528 (0.192)	Loss 3.0101 (2.9959)	Prec@1 29.297 (30.386)	Prec@5 62.891 (59.520)
Epoch: [55][4970/7045]	Time 0.101 (0.256)	Data 0.019 (0.192)	Loss 2.9047 (2.9959)	Prec@1 32.031 (30.387)	Prec@5 59.766 (59.522)
Epoch: [55][4980/7045]	Time 0.577 (0.256)	Data 0.525 (0.192)	Loss 3.0112 (2.9959)	Prec@1 26.172 (30.386)	Prec@5 58.203 (59.519)
Epoch: [55][4990/7045]	Time 0.109 (0.256)	Data 0.001 (0.192)	Loss 2.7342 (2.9959)	Prec@1 37.109 (30.385)	Prec@5 65.625 (59.522)
Epoch: [55][5000/7045]	Time 0.351 (0.256)	Data 0.301 (0.192)	Loss 3.1432 (2.9962)	Prec@1 28.516 (30.380)	Prec@5 55.469 (59.516)
Epoch: [55][5010/7045]	Time 0.191 (0.256)	Data 0.139 (0.192)	Loss 3.2943 (2.9964)	Prec@1 24.219 (30.377)	Prec@5 53.125 (59.512)
Epoch: [55][5020/7045]	Time 0.118 (0.256)	Data 0.066 (0.192)	Loss 3.1683 (2.9966)	Prec@1 26.172 (30.375)	Prec@5 60.938 (59.509)
Epoch: [55][5030/7045]	Time 0.190 (0.256)	Data 0.140 (0.192)	Loss 2.9378 (2.9966)	Prec@1 28.125 (30.375)	Prec@5 60.547 (59.506)
Epoch: [55][5040/7045]	Time 0.156 (0.256)	Data 0.104 (0.192)	Loss 3.0689 (2.9965)	Prec@1 26.953 (30.376)	Prec@5 56.250 (59.505)
Epoch: [55][5050/7045]	Time 0.158 (0.256)	Data 0.106 (0.192)	Loss 3.1600 (2.9966)	Prec@1 28.516 (30.374)	Prec@5 57.031 (59.505)
Epoch: [55][5060/7045]	Time 0.167 (0.256)	Data 0.115 (0.192)	Loss 2.7934 (2.9967)	Prec@1 35.156 (30.371)	Prec@5 64.062 (59.506)
Epoch: [55][5070/7045]	Time 0.122 (0.256)	Data 0.070 (0.192)	Loss 3.0568 (2.9967)	Prec@1 26.562 (30.369)	Prec@5 55.859 (59.506)
Epoch: [55][5080/7045]	Time 0.171 (0.256)	Data 0.120 (0.192)	Loss 2.9268 (2.9967)	Prec@1 31.641 (30.370)	Prec@5 60.156 (59.507)
Epoch: [55][5090/7045]	Time 0.110 (0.256)	Data 0.059 (0.192)	Loss 3.0169 (2.9966)	Prec@1 33.594 (30.373)	Prec@5 57.422 (59.508)
Epoch: [55][5100/7045]	Time 0.156 (0.256)	Data 0.104 (0.192)	Loss 2.8207 (2.9968)	Prec@1 31.250 (30.370)	Prec@5 62.891 (59.505)
Epoch: [55][5110/7045]	Time 0.101 (0.256)	Data 0.001 (0.192)	Loss 2.8582 (2.9967)	Prec@1 33.594 (30.370)	Prec@5 60.938 (59.506)
Epoch: [55][5120/7045]	Time 0.112 (0.256)	Data 0.060 (0.192)	Loss 3.1512 (2.9967)	Prec@1 28.906 (30.369)	Prec@5 54.688 (59.507)
Epoch: [55][5130/7045]	Time 0.171 (0.256)	Data 0.118 (0.192)	Loss 2.9538 (2.9966)	Prec@1 31.641 (30.373)	Prec@5 59.766 (59.509)
Epoch: [55][5140/7045]	Time 0.108 (0.256)	Data 0.001 (0.192)	Loss 2.9301 (2.9964)	Prec@1 32.812 (30.376)	Prec@5 60.938 (59.511)
Epoch: [55][5150/7045]	Time 0.287 (0.256)	Data 0.237 (0.192)	Loss 2.9388 (2.9965)	Prec@1 33.203 (30.374)	Prec@5 58.984 (59.511)
Epoch: [55][5160/7045]	Time 0.297 (0.256)	Data 0.245 (0.192)	Loss 2.8897 (2.9963)	Prec@1 29.688 (30.373)	Prec@5 59.766 (59.514)
Epoch: [55][5170/7045]	Time 0.102 (0.256)	Data 0.006 (0.192)	Loss 3.1174 (2.9963)	Prec@1 27.734 (30.375)	Prec@5 54.688 (59.515)
Epoch: [55][5180/7045]	Time 0.112 (0.256)	Data 0.060 (0.192)	Loss 3.0029 (2.9963)	Prec@1 28.906 (30.376)	Prec@5 57.812 (59.514)
Epoch: [55][5190/7045]	Time 0.155 (0.256)	Data 0.103 (0.192)	Loss 2.8644 (2.9962)	Prec@1 32.422 (30.377)	Prec@5 65.625 (59.517)
Epoch: [55][5200/7045]	Time 0.533 (0.256)	Data 0.482 (0.192)	Loss 3.0004 (2.9963)	Prec@1 30.469 (30.377)	Prec@5 59.766 (59.513)
Epoch: [55][5210/7045]	Time 0.129 (0.256)	Data 0.077 (0.192)	Loss 3.0933 (2.9963)	Prec@1 28.125 (30.376)	Prec@5 61.328 (59.516)
Epoch: [55][5220/7045]	Time 0.621 (0.256)	Data 0.561 (0.192)	Loss 3.0281 (2.9963)	Prec@1 30.469 (30.378)	Prec@5 62.891 (59.516)
Epoch: [55][5230/7045]	Time 0.102 (0.256)	Data 0.001 (0.192)	Loss 2.7802 (2.9963)	Prec@1 32.031 (30.379)	Prec@5 61.328 (59.514)
Epoch: [55][5240/7045]	Time 0.272 (0.256)	Data 0.221 (0.192)	Loss 2.8331 (2.9962)	Prec@1 31.250 (30.380)	Prec@5 64.062 (59.517)
Epoch: [55][5250/7045]	Time 0.686 (0.256)	Data 0.635 (0.192)	Loss 2.8349 (2.9960)	Prec@1 28.906 (30.380)	Prec@5 63.281 (59.520)
Epoch: [55][5260/7045]	Time 0.166 (0.256)	Data 0.115 (0.192)	Loss 2.8841 (2.9960)	Prec@1 29.688 (30.381)	Prec@5 64.062 (59.522)
Epoch: [55][5270/7045]	Time 0.461 (0.256)	Data 0.408 (0.192)	Loss 2.9521 (2.9959)	Prec@1 33.594 (30.382)	Prec@5 59.375 (59.522)
Epoch: [55][5280/7045]	Time 0.219 (0.256)	Data 0.167 (0.192)	Loss 3.0274 (2.9960)	Prec@1 29.688 (30.382)	Prec@5 61.328 (59.521)
Epoch: [55][5290/7045]	Time 0.152 (0.256)	Data 0.100 (0.192)	Loss 2.8326 (2.9959)	Prec@1 36.328 (30.384)	Prec@5 62.109 (59.521)
Epoch: [55][5300/7045]	Time 0.586 (0.256)	Data 0.535 (0.192)	Loss 2.8676 (2.9959)	Prec@1 31.641 (30.384)	Prec@5 61.719 (59.521)
Epoch: [55][5310/7045]	Time 0.102 (0.256)	Data 0.001 (0.192)	Loss 2.9439 (2.9960)	Prec@1 33.984 (30.383)	Prec@5 59.766 (59.520)
Epoch: [55][5320/7045]	Time 0.504 (0.256)	Data 0.453 (0.192)	Loss 2.9780 (2.9961)	Prec@1 32.422 (30.381)	Prec@5 62.500 (59.520)
Epoch: [55][5330/7045]	Time 0.323 (0.256)	Data 0.272 (0.192)	Loss 2.9561 (2.9961)	Prec@1 28.516 (30.380)	Prec@5 58.984 (59.519)
Epoch: [55][5340/7045]	Time 0.358 (0.256)	Data 0.307 (0.192)	Loss 2.9441 (2.9961)	Prec@1 33.594 (30.381)	Prec@5 59.375 (59.519)
Epoch: [55][5350/7045]	Time 0.417 (0.256)	Data 0.365 (0.192)	Loss 3.1454 (2.9961)	Prec@1 28.906 (30.379)	Prec@5 56.641 (59.518)
Epoch: [55][5360/7045]	Time 0.102 (0.256)	Data 0.017 (0.192)	Loss 3.0462 (2.9961)	Prec@1 27.344 (30.378)	Prec@5 62.109 (59.519)
Epoch: [55][5370/7045]	Time 0.305 (0.255)	Data 0.254 (0.191)	Loss 3.0769 (2.9963)	Prec@1 26.953 (30.376)	Prec@5 54.297 (59.516)
Epoch: [55][5380/7045]	Time 0.470 (0.256)	Data 0.419 (0.192)	Loss 2.7878 (2.9962)	Prec@1 29.297 (30.377)	Prec@5 66.797 (59.520)
Epoch: [55][5390/7045]	Time 0.262 (0.255)	Data 0.210 (0.191)	Loss 3.0518 (2.9962)	Prec@1 28.516 (30.376)	Prec@5 58.594 (59.521)
Epoch: [55][5400/7045]	Time 0.715 (0.256)	Data 0.665 (0.192)	Loss 2.8121 (2.9961)	Prec@1 35.938 (30.377)	Prec@5 62.500 (59.521)
Epoch: [55][5410/7045]	Time 0.331 (0.255)	Data 0.280 (0.191)	Loss 3.0220 (2.9961)	Prec@1 23.828 (30.377)	Prec@5 60.156 (59.523)
Epoch: [55][5420/7045]	Time 0.207 (0.255)	Data 0.155 (0.191)	Loss 3.1147 (2.9960)	Prec@1 25.781 (30.377)	Prec@5 57.422 (59.524)
Epoch: [55][5430/7045]	Time 0.213 (0.255)	Data 0.161 (0.191)	Loss 3.0986 (2.9960)	Prec@1 27.734 (30.377)	Prec@5 59.375 (59.523)
Epoch: [55][5440/7045]	Time 0.102 (0.255)	Data 0.047 (0.191)	Loss 3.1397 (2.9960)	Prec@1 28.516 (30.377)	Prec@5 58.984 (59.520)
Epoch: [55][5450/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 3.0223 (2.9961)	Prec@1 28.516 (30.376)	Prec@5 61.328 (59.521)
Epoch: [55][5460/7045]	Time 0.248 (0.255)	Data 0.197 (0.191)	Loss 2.9987 (2.9961)	Prec@1 30.859 (30.375)	Prec@5 61.719 (59.518)
Epoch: [55][5470/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 3.1223 (2.9961)	Prec@1 30.859 (30.376)	Prec@5 59.375 (59.516)
Epoch: [55][5480/7045]	Time 0.167 (0.255)	Data 0.115 (0.191)	Loss 2.8201 (2.9961)	Prec@1 34.766 (30.377)	Prec@5 68.359 (59.515)
Epoch: [55][5490/7045]	Time 0.491 (0.255)	Data 0.440 (0.191)	Loss 2.9031 (2.9961)	Prec@1 34.375 (30.378)	Prec@5 60.156 (59.515)
Epoch: [55][5500/7045]	Time 0.176 (0.255)	Data 0.125 (0.191)	Loss 3.0259 (2.9960)	Prec@1 29.297 (30.379)	Prec@5 55.859 (59.514)
Epoch: [55][5510/7045]	Time 0.654 (0.255)	Data 0.603 (0.191)	Loss 2.9564 (2.9959)	Prec@1 29.688 (30.378)	Prec@5 61.719 (59.515)
Epoch: [55][5520/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 3.1045 (2.9960)	Prec@1 30.469 (30.376)	Prec@5 58.203 (59.513)
Epoch: [55][5530/7045]	Time 0.635 (0.255)	Data 0.583 (0.191)	Loss 3.0369 (2.9961)	Prec@1 30.859 (30.376)	Prec@5 57.031 (59.512)
Epoch: [55][5540/7045]	Time 0.185 (0.255)	Data 0.134 (0.191)	Loss 2.8659 (2.9960)	Prec@1 32.422 (30.375)	Prec@5 61.328 (59.512)
Epoch: [55][5550/7045]	Time 0.732 (0.255)	Data 0.681 (0.191)	Loss 2.9978 (2.9961)	Prec@1 26.172 (30.373)	Prec@5 61.328 (59.511)
Epoch: [55][5560/7045]	Time 0.102 (0.255)	Data 0.002 (0.191)	Loss 3.0800 (2.9961)	Prec@1 24.219 (30.371)	Prec@5 56.641 (59.511)
Epoch: [55][5570/7045]	Time 0.287 (0.255)	Data 0.231 (0.191)	Loss 3.1035 (2.9963)	Prec@1 28.516 (30.368)	Prec@5 55.078 (59.506)
Epoch: [55][5580/7045]	Time 0.210 (0.255)	Data 0.159 (0.191)	Loss 3.1526 (2.9963)	Prec@1 28.516 (30.368)	Prec@5 55.859 (59.505)
Epoch: [55][5590/7045]	Time 0.102 (0.255)	Data 0.011 (0.191)	Loss 3.2062 (2.9964)	Prec@1 25.391 (30.367)	Prec@5 53.906 (59.504)
Epoch: [55][5600/7045]	Time 0.261 (0.255)	Data 0.209 (0.191)	Loss 3.0684 (2.9964)	Prec@1 26.562 (30.366)	Prec@5 57.031 (59.506)
Epoch: [55][5610/7045]	Time 0.474 (0.255)	Data 0.424 (0.191)	Loss 2.9567 (2.9963)	Prec@1 33.984 (30.369)	Prec@5 59.766 (59.507)
Epoch: [55][5620/7045]	Time 0.212 (0.255)	Data 0.160 (0.191)	Loss 3.2103 (2.9964)	Prec@1 28.125 (30.366)	Prec@5 56.641 (59.506)
Epoch: [55][5630/7045]	Time 0.484 (0.255)	Data 0.433 (0.191)	Loss 2.9450 (2.9963)	Prec@1 32.812 (30.368)	Prec@5 59.375 (59.506)
Epoch: [55][5640/7045]	Time 0.125 (0.255)	Data 0.067 (0.191)	Loss 2.9986 (2.9964)	Prec@1 33.984 (30.368)	Prec@5 57.422 (59.504)
Epoch: [55][5650/7045]	Time 0.312 (0.255)	Data 0.262 (0.191)	Loss 2.8545 (2.9964)	Prec@1 30.078 (30.366)	Prec@5 62.109 (59.506)
Epoch: [55][5660/7045]	Time 0.253 (0.255)	Data 0.202 (0.191)	Loss 2.8818 (2.9963)	Prec@1 34.375 (30.367)	Prec@5 62.891 (59.507)
Epoch: [55][5670/7045]	Time 0.188 (0.255)	Data 0.137 (0.191)	Loss 2.8100 (2.9964)	Prec@1 33.594 (30.367)	Prec@5 63.281 (59.505)
Epoch: [55][5680/7045]	Time 0.124 (0.255)	Data 0.073 (0.191)	Loss 2.9446 (2.9964)	Prec@1 24.609 (30.366)	Prec@5 62.500 (59.505)
Epoch: [55][5690/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 2.9495 (2.9964)	Prec@1 32.812 (30.366)	Prec@5 57.812 (59.502)
Epoch: [55][5700/7045]	Time 0.186 (0.255)	Data 0.133 (0.191)	Loss 3.2482 (2.9964)	Prec@1 26.172 (30.366)	Prec@5 54.688 (59.503)
Epoch: [55][5710/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 2.9989 (2.9965)	Prec@1 26.562 (30.364)	Prec@5 58.203 (59.500)
Epoch: [55][5720/7045]	Time 0.195 (0.255)	Data 0.144 (0.191)	Loss 3.2839 (2.9964)	Prec@1 25.000 (30.366)	Prec@5 55.859 (59.502)
Epoch: [55][5730/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 3.0298 (2.9964)	Prec@1 27.734 (30.367)	Prec@5 62.500 (59.504)
Epoch: [55][5740/7045]	Time 0.457 (0.255)	Data 0.399 (0.191)	Loss 3.0199 (2.9965)	Prec@1 28.125 (30.365)	Prec@5 59.375 (59.501)
Epoch: [55][5750/7045]	Time 0.365 (0.255)	Data 0.314 (0.191)	Loss 2.9690 (2.9964)	Prec@1 32.031 (30.366)	Prec@5 58.594 (59.500)
Epoch: [55][5760/7045]	Time 0.332 (0.255)	Data 0.282 (0.191)	Loss 2.7476 (2.9964)	Prec@1 35.547 (30.367)	Prec@5 63.281 (59.500)
Epoch: [55][5770/7045]	Time 0.139 (0.255)	Data 0.089 (0.191)	Loss 2.9174 (2.9964)	Prec@1 31.641 (30.366)	Prec@5 62.891 (59.496)
Epoch: [55][5780/7045]	Time 0.104 (0.255)	Data 0.001 (0.191)	Loss 2.8015 (2.9965)	Prec@1 33.594 (30.366)	Prec@5 62.500 (59.495)
Epoch: [55][5790/7045]	Time 0.104 (0.255)	Data 0.001 (0.191)	Loss 3.0581 (2.9965)	Prec@1 30.859 (30.365)	Prec@5 56.641 (59.495)
Epoch: [55][5800/7045]	Time 0.369 (0.255)	Data 0.318 (0.191)	Loss 2.9102 (2.9965)	Prec@1 33.594 (30.363)	Prec@5 60.938 (59.493)
Epoch: [55][5810/7045]	Time 0.103 (0.255)	Data 0.001 (0.191)	Loss 2.8358 (2.9965)	Prec@1 35.547 (30.364)	Prec@5 61.328 (59.494)
Epoch: [55][5820/7045]	Time 0.329 (0.255)	Data 0.272 (0.191)	Loss 3.0861 (2.9965)	Prec@1 29.297 (30.364)	Prec@5 57.422 (59.493)
Epoch: [55][5830/7045]	Time 0.143 (0.255)	Data 0.093 (0.191)	Loss 3.1531 (2.9966)	Prec@1 28.125 (30.363)	Prec@5 58.203 (59.491)
Epoch: [55][5840/7045]	Time 0.253 (0.255)	Data 0.202 (0.191)	Loss 2.7320 (2.9965)	Prec@1 33.203 (30.365)	Prec@5 65.234 (59.493)
Epoch: [55][5850/7045]	Time 0.195 (0.255)	Data 0.145 (0.191)	Loss 3.0298 (2.9964)	Prec@1 32.031 (30.368)	Prec@5 59.375 (59.494)
Epoch: [55][5860/7045]	Time 0.257 (0.255)	Data 0.206 (0.191)	Loss 2.8452 (2.9965)	Prec@1 31.641 (30.366)	Prec@5 64.453 (59.495)
Epoch: [55][5870/7045]	Time 0.103 (0.255)	Data 0.003 (0.191)	Loss 2.8649 (2.9964)	Prec@1 33.203 (30.370)	Prec@5 63.672 (59.498)
Epoch: [55][5880/7045]	Time 0.101 (0.255)	Data 0.005 (0.191)	Loss 3.0407 (2.9964)	Prec@1 31.250 (30.370)	Prec@5 61.328 (59.500)
Epoch: [55][5890/7045]	Time 0.117 (0.255)	Data 0.066 (0.191)	Loss 3.1006 (2.9964)	Prec@1 28.516 (30.369)	Prec@5 53.906 (59.498)
Epoch: [55][5900/7045]	Time 0.500 (0.255)	Data 0.449 (0.191)	Loss 3.0845 (2.9965)	Prec@1 30.078 (30.370)	Prec@5 58.203 (59.499)
Epoch: [55][5910/7045]	Time 0.124 (0.255)	Data 0.073 (0.191)	Loss 3.0604 (2.9965)	Prec@1 23.438 (30.371)	Prec@5 57.422 (59.499)
Epoch: [55][5920/7045]	Time 0.212 (0.255)	Data 0.161 (0.191)	Loss 3.2135 (2.9965)	Prec@1 30.078 (30.370)	Prec@5 55.469 (59.498)
Epoch: [55][5930/7045]	Time 0.112 (0.255)	Data 0.060 (0.191)	Loss 2.9891 (2.9965)	Prec@1 29.297 (30.370)	Prec@5 58.203 (59.499)
Epoch: [55][5940/7045]	Time 0.108 (0.255)	Data 0.001 (0.191)	Loss 2.8487 (2.9965)	Prec@1 35.938 (30.369)	Prec@5 61.719 (59.500)
Epoch: [55][5950/7045]	Time 0.102 (0.255)	Data 0.050 (0.191)	Loss 3.0005 (2.9966)	Prec@1 26.172 (30.368)	Prec@5 59.766 (59.498)
Epoch: [55][5960/7045]	Time 0.144 (0.255)	Data 0.093 (0.191)	Loss 3.0312 (2.9965)	Prec@1 31.250 (30.369)	Prec@5 58.984 (59.499)
Epoch: [55][5970/7045]	Time 0.102 (0.255)	Data 0.050 (0.191)	Loss 2.8637 (2.9965)	Prec@1 33.203 (30.367)	Prec@5 57.422 (59.498)
Epoch: [55][5980/7045]	Time 0.390 (0.255)	Data 0.334 (0.191)	Loss 3.1064 (2.9966)	Prec@1 31.641 (30.365)	Prec@5 58.594 (59.495)
Epoch: [55][5990/7045]	Time 0.102 (0.255)	Data 0.012 (0.191)	Loss 2.9084 (2.9966)	Prec@1 31.641 (30.368)	Prec@5 62.500 (59.496)
Epoch: [55][6000/7045]	Time 0.502 (0.255)	Data 0.451 (0.191)	Loss 3.0984 (2.9965)	Prec@1 32.031 (30.370)	Prec@5 59.375 (59.499)
Epoch: [55][6010/7045]	Time 0.228 (0.255)	Data 0.177 (0.191)	Loss 3.2364 (2.9965)	Prec@1 23.828 (30.370)	Prec@5 57.812 (59.499)
Epoch: [55][6020/7045]	Time 0.317 (0.255)	Data 0.266 (0.191)	Loss 2.8600 (2.9965)	Prec@1 33.203 (30.369)	Prec@5 62.109 (59.499)
Epoch: [55][6030/7045]	Time 0.101 (0.255)	Data 0.001 (0.191)	Loss 3.1375 (2.9965)	Prec@1 22.266 (30.367)	Prec@5 55.859 (59.499)
Epoch: [55][6040/7045]	Time 0.283 (0.255)	Data 0.231 (0.191)	Loss 3.0849 (2.9965)	Prec@1 27.734 (30.366)	Prec@5 54.688 (59.498)
Epoch: [55][6050/7045]	Time 0.100 (0.255)	Data 0.046 (0.191)	Loss 2.9389 (2.9965)	Prec@1 28.906 (30.367)	Prec@5 58.984 (59.496)
Epoch: [55][6060/7045]	Time 0.109 (0.255)	Data 0.015 (0.191)	Loss 2.9755 (2.9964)	Prec@1 29.297 (30.368)	Prec@5 59.766 (59.496)
Epoch: [55][6070/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 2.9091 (2.9964)	Prec@1 33.203 (30.368)	Prec@5 58.203 (59.494)
Epoch: [55][6080/7045]	Time 0.198 (0.255)	Data 0.147 (0.191)	Loss 2.7133 (2.9964)	Prec@1 35.156 (30.367)	Prec@5 66.797 (59.495)
Epoch: [55][6090/7045]	Time 0.688 (0.255)	Data 0.633 (0.191)	Loss 3.1496 (2.9964)	Prec@1 23.047 (30.367)	Prec@5 53.906 (59.496)
Epoch: [55][6100/7045]	Time 0.106 (0.255)	Data 0.051 (0.191)	Loss 3.1188 (2.9964)	Prec@1 28.906 (30.369)	Prec@5 56.641 (59.495)
Epoch: [55][6110/7045]	Time 0.474 (0.255)	Data 0.423 (0.191)	Loss 2.8544 (2.9964)	Prec@1 29.688 (30.369)	Prec@5 66.797 (59.497)
Epoch: [55][6120/7045]	Time 0.141 (0.255)	Data 0.090 (0.191)	Loss 3.0430 (2.9964)	Prec@1 34.766 (30.372)	Prec@5 60.547 (59.497)
Epoch: [55][6130/7045]	Time 0.527 (0.255)	Data 0.475 (0.191)	Loss 3.0304 (2.9966)	Prec@1 30.859 (30.369)	Prec@5 62.109 (59.496)
Epoch: [55][6140/7045]	Time 0.132 (0.255)	Data 0.081 (0.191)	Loss 2.9211 (2.9965)	Prec@1 32.422 (30.371)	Prec@5 57.812 (59.496)
Epoch: [55][6150/7045]	Time 0.110 (0.255)	Data 0.003 (0.191)	Loss 3.0898 (2.9965)	Prec@1 30.078 (30.371)	Prec@5 56.641 (59.497)
Epoch: [55][6160/7045]	Time 0.297 (0.255)	Data 0.245 (0.191)	Loss 2.9517 (2.9966)	Prec@1 29.688 (30.367)	Prec@5 61.719 (59.493)
Epoch: [55][6170/7045]	Time 0.126 (0.255)	Data 0.075 (0.191)	Loss 3.1372 (2.9967)	Prec@1 27.734 (30.366)	Prec@5 50.781 (59.490)
Epoch: [55][6180/7045]	Time 0.406 (0.255)	Data 0.354 (0.191)	Loss 3.0434 (2.9966)	Prec@1 28.516 (30.367)	Prec@5 57.812 (59.490)
Epoch: [55][6190/7045]	Time 0.159 (0.255)	Data 0.107 (0.191)	Loss 3.0370 (2.9966)	Prec@1 32.422 (30.369)	Prec@5 53.906 (59.489)
Epoch: [55][6200/7045]	Time 0.193 (0.255)	Data 0.142 (0.191)	Loss 2.9175 (2.9966)	Prec@1 34.375 (30.371)	Prec@5 60.547 (59.490)
Epoch: [55][6210/7045]	Time 0.103 (0.255)	Data 0.016 (0.191)	Loss 3.0564 (2.9966)	Prec@1 26.953 (30.369)	Prec@5 55.859 (59.488)
Epoch: [55][6220/7045]	Time 0.275 (0.255)	Data 0.224 (0.191)	Loss 2.9486 (2.9965)	Prec@1 32.812 (30.371)	Prec@5 59.766 (59.490)
Epoch: [55][6230/7045]	Time 0.263 (0.255)	Data 0.212 (0.191)	Loss 3.0800 (2.9966)	Prec@1 29.297 (30.371)	Prec@5 55.859 (59.488)
Epoch: [55][6240/7045]	Time 0.116 (0.255)	Data 0.065 (0.191)	Loss 2.8236 (2.9966)	Prec@1 33.984 (30.371)	Prec@5 64.062 (59.489)
Epoch: [55][6250/7045]	Time 0.192 (0.255)	Data 0.140 (0.191)	Loss 3.0375 (2.9965)	Prec@1 27.734 (30.372)	Prec@5 63.281 (59.491)
Epoch: [55][6260/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 3.0616 (2.9966)	Prec@1 33.984 (30.371)	Prec@5 57.422 (59.490)
Epoch: [55][6270/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 3.0455 (2.9966)	Prec@1 30.859 (30.372)	Prec@5 58.594 (59.490)
Epoch: [55][6280/7045]	Time 0.345 (0.255)	Data 0.295 (0.191)	Loss 3.0547 (2.9966)	Prec@1 30.469 (30.372)	Prec@5 58.594 (59.489)
Epoch: [55][6290/7045]	Time 0.103 (0.255)	Data 0.050 (0.191)	Loss 2.9664 (2.9966)	Prec@1 30.078 (30.372)	Prec@5 62.500 (59.490)
Epoch: [55][6300/7045]	Time 0.200 (0.255)	Data 0.149 (0.191)	Loss 2.9601 (2.9966)	Prec@1 32.812 (30.371)	Prec@5 57.812 (59.489)
Epoch: [55][6310/7045]	Time 0.552 (0.255)	Data 0.500 (0.191)	Loss 3.1799 (2.9966)	Prec@1 28.516 (30.373)	Prec@5 56.250 (59.487)
Epoch: [55][6320/7045]	Time 0.199 (0.255)	Data 0.148 (0.191)	Loss 2.9787 (2.9968)	Prec@1 30.078 (30.373)	Prec@5 59.766 (59.484)
Epoch: [55][6330/7045]	Time 0.101 (0.255)	Data 0.001 (0.191)	Loss 3.0860 (2.9968)	Prec@1 29.297 (30.373)	Prec@5 58.203 (59.483)
Epoch: [55][6340/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 2.7681 (2.9968)	Prec@1 34.375 (30.375)	Prec@5 67.969 (59.483)
Epoch: [55][6350/7045]	Time 0.167 (0.255)	Data 0.110 (0.191)	Loss 2.9147 (2.9968)	Prec@1 29.688 (30.378)	Prec@5 61.719 (59.483)
Epoch: [55][6360/7045]	Time 0.201 (0.255)	Data 0.151 (0.191)	Loss 2.9920 (2.9967)	Prec@1 29.297 (30.377)	Prec@5 62.109 (59.484)
Epoch: [55][6370/7045]	Time 0.261 (0.255)	Data 0.210 (0.191)	Loss 3.0268 (2.9968)	Prec@1 31.250 (30.377)	Prec@5 57.031 (59.483)
Epoch: [55][6380/7045]	Time 0.409 (0.255)	Data 0.357 (0.191)	Loss 2.9801 (2.9968)	Prec@1 30.859 (30.377)	Prec@5 59.766 (59.482)
Epoch: [55][6390/7045]	Time 0.394 (0.255)	Data 0.344 (0.191)	Loss 2.9680 (2.9969)	Prec@1 33.203 (30.377)	Prec@5 58.594 (59.481)
Epoch: [55][6400/7045]	Time 0.117 (0.255)	Data 0.060 (0.191)	Loss 3.0201 (2.9969)	Prec@1 29.688 (30.377)	Prec@5 58.203 (59.480)
Epoch: [55][6410/7045]	Time 0.666 (0.255)	Data 0.615 (0.191)	Loss 2.8364 (2.9970)	Prec@1 33.203 (30.376)	Prec@5 63.281 (59.478)
Epoch: [55][6420/7045]	Time 0.102 (0.255)	Data 0.019 (0.191)	Loss 2.8966 (2.9970)	Prec@1 35.547 (30.376)	Prec@5 59.375 (59.476)
Epoch: [55][6430/7045]	Time 0.712 (0.255)	Data 0.661 (0.191)	Loss 2.9553 (2.9970)	Prec@1 29.688 (30.376)	Prec@5 60.547 (59.475)
Epoch: [55][6440/7045]	Time 0.172 (0.255)	Data 0.122 (0.191)	Loss 3.1442 (2.9970)	Prec@1 26.953 (30.376)	Prec@5 57.812 (59.475)
Epoch: [55][6450/7045]	Time 0.108 (0.255)	Data 0.015 (0.191)	Loss 3.0080 (2.9970)	Prec@1 32.031 (30.375)	Prec@5 55.469 (59.474)
Epoch: [55][6460/7045]	Time 0.160 (0.255)	Data 0.108 (0.191)	Loss 3.0291 (2.9970)	Prec@1 32.422 (30.375)	Prec@5 54.688 (59.474)
Epoch: [55][6470/7045]	Time 0.110 (0.255)	Data 0.011 (0.191)	Loss 3.1101 (2.9971)	Prec@1 28.516 (30.373)	Prec@5 59.375 (59.472)
Epoch: [55][6480/7045]	Time 0.101 (0.255)	Data 0.004 (0.191)	Loss 2.9304 (2.9972)	Prec@1 34.375 (30.374)	Prec@5 64.062 (59.470)
Epoch: [55][6490/7045]	Time 0.256 (0.255)	Data 0.205 (0.191)	Loss 3.1231 (2.9972)	Prec@1 28.125 (30.374)	Prec@5 54.297 (59.468)
Epoch: [55][6500/7045]	Time 0.345 (0.255)	Data 0.294 (0.191)	Loss 2.9362 (2.9972)	Prec@1 35.547 (30.376)	Prec@5 60.547 (59.468)
Epoch: [55][6510/7045]	Time 0.128 (0.255)	Data 0.077 (0.191)	Loss 3.0831 (2.9973)	Prec@1 28.125 (30.375)	Prec@5 58.984 (59.465)
Epoch: [55][6520/7045]	Time 0.359 (0.255)	Data 0.308 (0.191)	Loss 3.0600 (2.9974)	Prec@1 29.297 (30.376)	Prec@5 57.031 (59.464)
Epoch: [55][6530/7045]	Time 0.278 (0.255)	Data 0.227 (0.191)	Loss 3.1074 (2.9973)	Prec@1 25.000 (30.374)	Prec@5 58.984 (59.464)
Epoch: [55][6540/7045]	Time 0.392 (0.255)	Data 0.341 (0.191)	Loss 3.0958 (2.9974)	Prec@1 26.172 (30.373)	Prec@5 55.469 (59.464)
Epoch: [55][6550/7045]	Time 0.393 (0.255)	Data 0.341 (0.191)	Loss 3.0605 (2.9974)	Prec@1 31.641 (30.375)	Prec@5 54.688 (59.463)
Epoch: [55][6560/7045]	Time 0.109 (0.255)	Data 0.001 (0.191)	Loss 3.1467 (2.9974)	Prec@1 29.688 (30.374)	Prec@5 55.859 (59.462)
Epoch: [55][6570/7045]	Time 0.445 (0.255)	Data 0.395 (0.191)	Loss 3.2477 (2.9975)	Prec@1 26.953 (30.373)	Prec@5 55.078 (59.462)
Epoch: [55][6580/7045]	Time 0.192 (0.255)	Data 0.132 (0.191)	Loss 2.8364 (2.9974)	Prec@1 30.469 (30.372)	Prec@5 64.062 (59.463)
Epoch: [55][6590/7045]	Time 0.107 (0.255)	Data 0.055 (0.191)	Loss 2.9031 (2.9975)	Prec@1 32.422 (30.371)	Prec@5 62.109 (59.462)
Epoch: [55][6600/7045]	Time 0.102 (0.255)	Data 0.006 (0.191)	Loss 3.0685 (2.9976)	Prec@1 29.297 (30.370)	Prec@5 56.250 (59.460)
Epoch: [55][6610/7045]	Time 0.454 (0.255)	Data 0.392 (0.191)	Loss 2.9992 (2.9977)	Prec@1 29.688 (30.369)	Prec@5 60.938 (59.459)
Epoch: [55][6620/7045]	Time 0.211 (0.255)	Data 0.160 (0.191)	Loss 3.2258 (2.9977)	Prec@1 29.688 (30.369)	Prec@5 55.078 (59.459)
Epoch: [55][6630/7045]	Time 0.327 (0.255)	Data 0.275 (0.191)	Loss 2.9353 (2.9978)	Prec@1 29.688 (30.367)	Prec@5 60.547 (59.458)
Epoch: [55][6640/7045]	Time 0.160 (0.254)	Data 0.109 (0.191)	Loss 3.0500 (2.9978)	Prec@1 28.906 (30.368)	Prec@5 56.641 (59.456)
Epoch: [55][6650/7045]	Time 0.450 (0.255)	Data 0.400 (0.191)	Loss 2.9820 (2.9979)	Prec@1 27.344 (30.367)	Prec@5 57.422 (59.454)
Epoch: [55][6660/7045]	Time 0.452 (0.255)	Data 0.400 (0.191)	Loss 3.3117 (2.9979)	Prec@1 23.828 (30.367)	Prec@5 53.906 (59.455)
Epoch: [55][6670/7045]	Time 0.101 (0.255)	Data 0.004 (0.191)	Loss 2.9063 (2.9979)	Prec@1 26.953 (30.368)	Prec@5 62.891 (59.457)
Epoch: [55][6680/7045]	Time 0.415 (0.255)	Data 0.364 (0.191)	Loss 2.9696 (2.9980)	Prec@1 30.859 (30.365)	Prec@5 58.203 (59.455)
Epoch: [55][6690/7045]	Time 0.101 (0.254)	Data 0.001 (0.191)	Loss 2.9861 (2.9980)	Prec@1 32.031 (30.365)	Prec@5 57.031 (59.453)
Epoch: [55][6700/7045]	Time 0.172 (0.255)	Data 0.120 (0.191)	Loss 3.0453 (2.9981)	Prec@1 33.203 (30.365)	Prec@5 59.375 (59.451)
Epoch: [55][6710/7045]	Time 0.102 (0.254)	Data 0.046 (0.191)	Loss 3.1652 (2.9982)	Prec@1 27.734 (30.364)	Prec@5 57.812 (59.451)
Epoch: [55][6720/7045]	Time 0.107 (0.254)	Data 0.050 (0.191)	Loss 3.0153 (2.9981)	Prec@1 30.469 (30.365)	Prec@5 59.375 (59.452)
Epoch: [55][6730/7045]	Time 0.165 (0.254)	Data 0.113 (0.191)	Loss 3.0307 (2.9981)	Prec@1 30.469 (30.364)	Prec@5 56.250 (59.451)
Epoch: [55][6740/7045]	Time 0.112 (0.254)	Data 0.003 (0.191)	Loss 3.1568 (2.9982)	Prec@1 29.688 (30.361)	Prec@5 57.422 (59.449)
Epoch: [55][6750/7045]	Time 0.133 (0.254)	Data 0.081 (0.191)	Loss 2.9371 (2.9983)	Prec@1 27.734 (30.360)	Prec@5 62.109 (59.448)
Epoch: [55][6760/7045]	Time 0.102 (0.254)	Data 0.003 (0.191)	Loss 3.0311 (2.9982)	Prec@1 27.344 (30.361)	Prec@5 60.156 (59.450)
Epoch: [55][6770/7045]	Time 0.300 (0.254)	Data 0.249 (0.191)	Loss 3.1819 (2.9983)	Prec@1 29.297 (30.359)	Prec@5 57.422 (59.449)
Epoch: [55][6780/7045]	Time 0.354 (0.254)	Data 0.302 (0.191)	Loss 3.1636 (2.9983)	Prec@1 24.219 (30.359)	Prec@5 56.250 (59.449)
Epoch: [55][6790/7045]	Time 0.105 (0.254)	Data 0.054 (0.191)	Loss 2.9594 (2.9984)	Prec@1 30.859 (30.358)	Prec@5 58.203 (59.449)
Epoch: [55][6800/7045]	Time 0.495 (0.254)	Data 0.444 (0.191)	Loss 2.9970 (2.9983)	Prec@1 30.078 (30.359)	Prec@5 57.812 (59.448)
Epoch: [55][6810/7045]	Time 0.108 (0.254)	Data 0.006 (0.191)	Loss 3.0099 (2.9983)	Prec@1 30.469 (30.358)	Prec@5 59.375 (59.448)
Epoch: [55][6820/7045]	Time 0.567 (0.254)	Data 0.515 (0.191)	Loss 2.8978 (2.9983)	Prec@1 32.422 (30.359)	Prec@5 65.234 (59.448)
Epoch: [55][6830/7045]	Time 0.101 (0.254)	Data 0.001 (0.191)	Loss 2.8143 (2.9984)	Prec@1 32.031 (30.359)	Prec@5 63.281 (59.448)
Epoch: [55][6840/7045]	Time 0.490 (0.254)	Data 0.432 (0.191)	Loss 2.8912 (2.9984)	Prec@1 35.547 (30.359)	Prec@5 60.547 (59.445)
Epoch: [55][6850/7045]	Time 0.229 (0.254)	Data 0.177 (0.191)	Loss 3.0704 (2.9985)	Prec@1 29.688 (30.358)	Prec@5 59.375 (59.445)
Epoch: [55][6860/7045]	Time 0.309 (0.254)	Data 0.258 (0.191)	Loss 3.1674 (2.9985)	Prec@1 27.734 (30.359)	Prec@5 54.688 (59.444)
Epoch: [55][6870/7045]	Time 0.330 (0.254)	Data 0.279 (0.191)	Loss 2.9332 (2.9986)	Prec@1 32.031 (30.357)	Prec@5 61.328 (59.443)
Epoch: [55][6880/7045]	Time 0.102 (0.254)	Data 0.001 (0.191)	Loss 2.9074 (2.9985)	Prec@1 30.469 (30.355)	Prec@5 58.984 (59.445)
Epoch: [55][6890/7045]	Time 0.570 (0.254)	Data 0.518 (0.191)	Loss 3.0456 (2.9985)	Prec@1 31.641 (30.355)	Prec@5 62.500 (59.447)
Epoch: [55][6900/7045]	Time 0.120 (0.254)	Data 0.056 (0.190)	Loss 2.9690 (2.9985)	Prec@1 34.375 (30.356)	Prec@5 59.766 (59.449)
Epoch: [55][6910/7045]	Time 0.423 (0.254)	Data 0.371 (0.190)	Loss 3.0244 (2.9986)	Prec@1 33.594 (30.354)	Prec@5 58.203 (59.446)
Epoch: [55][6920/7045]	Time 0.154 (0.254)	Data 0.104 (0.190)	Loss 3.0798 (2.9987)	Prec@1 25.391 (30.350)	Prec@5 57.422 (59.442)
Epoch: [55][6930/7045]	Time 0.127 (0.254)	Data 0.075 (0.190)	Loss 2.9574 (2.9987)	Prec@1 31.641 (30.350)	Prec@5 60.156 (59.443)
Epoch: [55][6940/7045]	Time 0.220 (0.254)	Data 0.169 (0.190)	Loss 3.0372 (2.9986)	Prec@1 30.078 (30.352)	Prec@5 56.250 (59.446)
Epoch: [55][6950/7045]	Time 0.156 (0.254)	Data 0.096 (0.190)	Loss 2.8701 (2.9986)	Prec@1 32.812 (30.351)	Prec@5 59.766 (59.444)
Epoch: [55][6960/7045]	Time 0.286 (0.254)	Data 0.235 (0.190)	Loss 3.0663 (2.9986)	Prec@1 27.344 (30.349)	Prec@5 54.688 (59.443)
Epoch: [55][6970/7045]	Time 0.230 (0.254)	Data 0.178 (0.190)	Loss 3.1379 (2.9985)	Prec@1 28.125 (30.351)	Prec@5 57.422 (59.445)
Epoch: [55][6980/7045]	Time 0.169 (0.254)	Data 0.112 (0.191)	Loss 2.8237 (2.9985)	Prec@1 37.109 (30.352)	Prec@5 61.719 (59.445)
Epoch: [55][6990/7045]	Time 0.112 (0.254)	Data 0.061 (0.190)	Loss 2.8544 (2.9984)	Prec@1 32.422 (30.353)	Prec@5 60.156 (59.447)
Epoch: [55][7000/7045]	Time 0.142 (0.254)	Data 0.090 (0.191)	Loss 3.0733 (2.9985)	Prec@1 28.516 (30.352)	Prec@5 56.641 (59.447)
Epoch: [55][7010/7045]	Time 0.102 (0.254)	Data 0.003 (0.190)	Loss 3.1149 (2.9985)	Prec@1 27.734 (30.350)	Prec@5 57.812 (59.446)
Epoch: [55][7020/7045]	Time 0.317 (0.254)	Data 0.258 (0.191)	Loss 3.0988 (2.9986)	Prec@1 26.172 (30.350)	Prec@5 56.641 (59.445)
Epoch: [55][7030/7045]	Time 0.477 (0.254)	Data 0.425 (0.191)	Loss 2.8429 (2.9985)	Prec@1 30.859 (30.352)	Prec@5 61.719 (59.446)
Epoch: [55][7040/7045]	Time 0.111 (0.254)	Data 0.000 (0.190)	Loss 2.9583 (2.9986)	Prec@1 28.125 (30.349)	Prec@5 58.203 (59.445)
Test: [0/143]	Time 1.358 (1.358)	Loss 2.5262 (2.5262)	Prec@1 45.312 (45.312)	Prec@5 69.531 (69.531)
Test: [10/143]	Time 0.210 (0.257)	Loss 2.2495 (2.4291)	Prec@1 48.047 (42.401)	Prec@5 74.219 (71.236)
Test: [20/143]	Time 0.388 (0.221)	Loss 2.4091 (2.3736)	Prec@1 41.797 (41.685)	Prec@5 70.312 (72.507)
Test: [30/143]	Time 0.108 (0.200)	Loss 2.6165 (2.3982)	Prec@1 38.672 (40.801)	Prec@5 63.281 (71.522)
Test: [40/143]	Time 0.195 (0.198)	Loss 3.0915 (2.4531)	Prec@1 20.703 (39.682)	Prec@5 58.203 (70.322)
Test: [50/143]	Time 0.161 (0.191)	Loss 2.3565 (2.5000)	Prec@1 33.984 (38.097)	Prec@5 76.953 (69.753)
Test: [60/143]	Time 0.159 (0.189)	Loss 2.7580 (2.4861)	Prec@1 30.469 (38.589)	Prec@5 65.234 (69.999)
Test: [70/143]	Time 0.261 (0.187)	Loss 3.2934 (2.4839)	Prec@1 20.312 (38.793)	Prec@5 53.125 (70.092)
Test: [80/143]	Time 0.230 (0.185)	Loss 2.6489 (2.4757)	Prec@1 30.078 (38.956)	Prec@5 72.656 (70.264)
Test: [90/143]	Time 0.398 (0.184)	Loss 1.8990 (2.4508)	Prec@1 51.172 (39.350)	Prec@5 85.547 (70.755)
Test: [100/143]	Time 0.193 (0.182)	Loss 2.3931 (2.4474)	Prec@1 41.797 (39.310)	Prec@5 74.609 (70.873)
Test: [110/143]	Time 0.478 (0.183)	Loss 1.9957 (2.4369)	Prec@1 50.781 (39.724)	Prec@5 75.781 (71.157)
Test: [120/143]	Time 0.064 (0.180)	Loss 1.9825 (2.4265)	Prec@1 51.172 (40.037)	Prec@5 83.203 (71.381)
Test: [130/143]	Time 0.431 (0.181)	Loss 1.9491 (2.4356)	Prec@1 58.594 (39.936)	Prec@5 74.219 (71.070)
Test: [140/143]	Time 0.119 (0.179)	Loss 3.5370 (2.4633)	Prec@1 20.312 (39.342)	Prec@5 51.562 (70.551)
 * Prec@1 39.337 Prec@5 70.570
Epoch: [56][0/7045]	Time 2.226 (2.226)	Data 2.163 (2.163)	Loss 3.1940 (3.1940)	Prec@1 27.344 (27.344)	Prec@5 53.516 (53.516)
Epoch: [56][10/7045]	Time 0.119 (0.397)	Data 0.068 (0.320)	Loss 2.8866 (3.0241)	Prec@1 30.469 (29.901)	Prec@5 57.812 (57.884)
Epoch: [56][20/7045]	Time 0.579 (0.336)	Data 0.528 (0.259)	Loss 3.2048 (3.0094)	Prec@1 27.734 (30.041)	Prec@5 54.688 (58.668)
Epoch: [56][30/7045]	Time 0.222 (0.301)	Data 0.170 (0.230)	Loss 2.9083 (2.9793)	Prec@1 32.422 (30.872)	Prec@5 56.641 (59.262)
Epoch: [56][40/7045]	Time 0.510 (0.291)	Data 0.459 (0.221)	Loss 2.8258 (2.9889)	Prec@1 32.422 (30.650)	Prec@5 60.938 (59.089)
Epoch: [56][50/7045]	Time 0.252 (0.279)	Data 0.200 (0.213)	Loss 3.0879 (2.9860)	Prec@1 25.391 (30.415)	Prec@5 51.953 (58.992)
Epoch: [56][60/7045]	Time 0.354 (0.275)	Data 0.302 (0.212)	Loss 2.7936 (2.9871)	Prec@1 29.688 (30.264)	Prec@5 62.891 (59.093)
Epoch: [56][70/7045]	Time 0.108 (0.268)	Data 0.057 (0.206)	Loss 2.9310 (2.9943)	Prec@1 33.984 (30.227)	Prec@5 63.281 (59.039)
Epoch: [56][80/7045]	Time 0.134 (0.267)	Data 0.083 (0.206)	Loss 3.1421 (2.9889)	Prec@1 28.125 (30.257)	Prec@5 56.250 (59.235)
Epoch: [56][90/7045]	Time 0.358 (0.265)	Data 0.305 (0.205)	Loss 2.9132 (2.9757)	Prec@1 33.984 (30.555)	Prec@5 58.984 (59.461)
Epoch: [56][100/7045]	Time 0.113 (0.263)	Data 0.010 (0.202)	Loss 2.7646 (2.9733)	Prec@1 35.156 (30.697)	Prec@5 68.359 (59.537)
Epoch: [56][110/7045]	Time 0.591 (0.263)	Data 0.536 (0.202)	Loss 2.7349 (2.9728)	Prec@1 33.203 (30.754)	Prec@5 62.109 (59.526)
Epoch: [56][120/7045]	Time 0.234 (0.261)	Data 0.183 (0.199)	Loss 2.9857 (2.9783)	Prec@1 28.125 (30.601)	Prec@5 57.031 (59.452)
Epoch: [56][130/7045]	Time 0.398 (0.260)	Data 0.340 (0.199)	Loss 2.8898 (2.9770)	Prec@1 30.469 (30.603)	Prec@5 58.984 (59.432)
Epoch: [56][140/7045]	Time 0.102 (0.258)	Data 0.015 (0.197)	Loss 3.0016 (2.9763)	Prec@1 31.250 (30.604)	Prec@5 58.594 (59.558)
Epoch: [56][150/7045]	Time 0.232 (0.259)	Data 0.176 (0.198)	Loss 2.7976 (2.9725)	Prec@1 29.688 (30.606)	Prec@5 67.188 (59.698)
Epoch: [56][160/7045]	Time 0.182 (0.257)	Data 0.131 (0.196)	Loss 2.9398 (2.9729)	Prec@1 27.734 (30.583)	Prec@5 59.766 (59.681)
Epoch: [56][170/7045]	Time 0.296 (0.257)	Data 0.245 (0.196)	Loss 2.6448 (2.9712)	Prec@1 37.500 (30.601)	Prec@5 64.844 (59.651)
Epoch: [56][180/7045]	Time 0.177 (0.255)	Data 0.125 (0.194)	Loss 3.1212 (2.9736)	Prec@1 30.078 (30.607)	Prec@5 57.422 (59.632)
Epoch: [56][190/7045]	Time 0.398 (0.256)	Data 0.347 (0.195)	Loss 3.0017 (2.9735)	Prec@1 31.250 (30.675)	Prec@5 59.766 (59.647)
Epoch: [56][200/7045]	Time 0.101 (0.254)	Data 0.049 (0.192)	Loss 2.9736 (2.9755)	Prec@1 31.641 (30.646)	Prec@5 58.984 (59.581)
Epoch: [56][210/7045]	Time 0.391 (0.254)	Data 0.340 (0.193)	Loss 2.8846 (2.9757)	Prec@1 32.422 (30.619)	Prec@5 59.766 (59.575)
Epoch: [56][220/7045]	Time 0.103 (0.253)	Data 0.001 (0.191)	Loss 2.7488 (2.9761)	Prec@1 32.031 (30.566)	Prec@5 60.938 (59.566)
Epoch: [56][230/7045]	Time 0.296 (0.253)	Data 0.245 (0.191)	Loss 3.1878 (2.9787)	Prec@1 27.344 (30.523)	Prec@5 55.078 (59.551)
Epoch: [56][240/7045]	Time 0.102 (0.252)	Data 0.004 (0.190)	Loss 3.1789 (2.9786)	Prec@1 30.469 (30.495)	Prec@5 55.078 (59.558)
Epoch: [56][250/7045]	Time 0.332 (0.252)	Data 0.280 (0.190)	Loss 3.1737 (2.9757)	Prec@1 25.391 (30.568)	Prec@5 55.469 (59.602)
Epoch: [56][260/7045]	Time 0.101 (0.251)	Data 0.047 (0.189)	Loss 3.2152 (2.9775)	Prec@1 28.125 (30.566)	Prec@5 54.688 (59.577)
Epoch: [56][270/7045]	Time 0.171 (0.251)	Data 0.119 (0.190)	Loss 2.8504 (2.9780)	Prec@1 32.422 (30.570)	Prec@5 61.719 (59.603)
Epoch: [56][280/7045]	Time 0.349 (0.252)	Data 0.299 (0.190)	Loss 2.8723 (2.9754)	Prec@1 32.031 (30.609)	Prec@5 61.328 (59.670)
Epoch: [56][290/7045]	Time 0.271 (0.251)	Data 0.219 (0.190)	Loss 3.1721 (2.9756)	Prec@1 23.438 (30.623)	Prec@5 54.297 (59.682)
Epoch: [56][300/7045]	Time 0.531 (0.252)	Data 0.478 (0.190)	Loss 2.9156 (2.9755)	Prec@1 28.516 (30.660)	Prec@5 60.547 (59.690)
Epoch: [56][310/7045]	Time 0.203 (0.251)	Data 0.152 (0.189)	Loss 2.9942 (2.9738)	Prec@1 32.422 (30.700)	Prec@5 63.281 (59.744)
Epoch: [56][320/7045]	Time 0.427 (0.251)	Data 0.376 (0.190)	Loss 2.8462 (2.9749)	Prec@1 30.469 (30.663)	Prec@5 59.375 (59.745)
Epoch: [56][330/7045]	Time 0.108 (0.251)	Data 0.001 (0.190)	Loss 3.1904 (2.9769)	Prec@1 27.344 (30.630)	Prec@5 57.031 (59.696)
Epoch: [56][340/7045]	Time 0.496 (0.251)	Data 0.444 (0.190)	Loss 3.0515 (2.9763)	Prec@1 30.469 (30.628)	Prec@5 57.031 (59.718)
Epoch: [56][350/7045]	Time 0.170 (0.250)	Data 0.119 (0.189)	Loss 3.0741 (2.9754)	Prec@1 29.688 (30.635)	Prec@5 59.375 (59.746)
Epoch: [56][360/7045]	Time 0.273 (0.250)	Data 0.221 (0.190)	Loss 2.8215 (2.9757)	Prec@1 32.031 (30.621)	Prec@5 65.625 (59.743)
Epoch: [56][370/7045]	Time 0.189 (0.250)	Data 0.138 (0.189)	Loss 3.1086 (2.9772)	Prec@1 24.219 (30.587)	Prec@5 56.641 (59.719)
Epoch: [56][380/7045]	Time 0.107 (0.250)	Data 0.001 (0.190)	Loss 3.0779 (2.9778)	Prec@1 30.078 (30.567)	Prec@5 57.422 (59.707)
Epoch: [56][390/7045]	Time 0.123 (0.249)	Data 0.072 (0.189)	Loss 3.2581 (2.9779)	Prec@1 27.734 (30.555)	Prec@5 56.250 (59.716)
Epoch: [56][400/7045]	Time 0.252 (0.250)	Data 0.200 (0.190)	Loss 2.7857 (2.9770)	Prec@1 31.250 (30.549)	Prec@5 61.328 (59.701)
Epoch: [56][410/7045]	Time 0.101 (0.249)	Data 0.046 (0.189)	Loss 2.7233 (2.9765)	Prec@1 36.328 (30.553)	Prec@5 64.844 (59.721)
Epoch: [56][420/7045]	Time 0.360 (0.250)	Data 0.308 (0.190)	Loss 3.0154 (2.9754)	Prec@1 33.203 (30.588)	Prec@5 56.641 (59.746)
Epoch: [56][430/7045]	Time 0.111 (0.249)	Data 0.058 (0.189)	Loss 2.9736 (2.9760)	Prec@1 30.859 (30.573)	Prec@5 58.203 (59.751)
Epoch: [56][440/7045]	Time 0.229 (0.249)	Data 0.179 (0.189)	Loss 2.9635 (2.9753)	Prec@1 32.812 (30.571)	Prec@5 58.984 (59.748)
Epoch: [56][450/7045]	Time 0.221 (0.250)	Data 0.169 (0.190)	Loss 3.0798 (2.9752)	Prec@1 28.125 (30.587)	Prec@5 55.859 (59.747)
Epoch: [56][460/7045]	Time 0.168 (0.249)	Data 0.116 (0.189)	Loss 2.9815 (2.9750)	Prec@1 31.641 (30.582)	Prec@5 63.672 (59.766)
Epoch: [56][470/7045]	Time 0.181 (0.250)	Data 0.129 (0.189)	Loss 2.9332 (2.9768)	Prec@1 30.078 (30.559)	Prec@5 62.500 (59.716)
Epoch: [56][480/7045]	Time 0.102 (0.249)	Data 0.051 (0.189)	Loss 3.0567 (2.9793)	Prec@1 26.172 (30.505)	Prec@5 52.734 (59.659)
Epoch: [56][490/7045]	Time 0.179 (0.249)	Data 0.119 (0.189)	Loss 2.9576 (2.9772)	Prec@1 32.812 (30.544)	Prec@5 62.500 (59.706)
Epoch: [56][500/7045]	Time 0.101 (0.249)	Data 0.006 (0.188)	Loss 3.0218 (2.9776)	Prec@1 31.641 (30.554)	Prec@5 59.766 (59.704)
Epoch: [56][510/7045]	Time 0.142 (0.249)	Data 0.090 (0.189)	Loss 2.9786 (2.9778)	Prec@1 28.516 (30.537)	Prec@5 59.766 (59.711)
Epoch: [56][520/7045]	Time 0.109 (0.249)	Data 0.058 (0.188)	Loss 2.9061 (2.9793)	Prec@1 32.422 (30.517)	Prec@5 61.328 (59.686)
Epoch: [56][530/7045]	Time 0.234 (0.249)	Data 0.183 (0.189)	Loss 2.9192 (2.9812)	Prec@1 30.078 (30.478)	Prec@5 61.328 (59.648)
Epoch: [56][540/7045]	Time 0.109 (0.248)	Data 0.057 (0.188)	Loss 2.9230 (2.9813)	Prec@1 30.078 (30.472)	Prec@5 62.500 (59.652)
Epoch: [56][550/7045]	Time 0.306 (0.249)	Data 0.255 (0.188)	Loss 3.0393 (2.9819)	Prec@1 28.516 (30.456)	Prec@5 60.938 (59.651)
Epoch: [56][560/7045]	Time 0.135 (0.248)	Data 0.085 (0.188)	Loss 2.8681 (2.9827)	Prec@1 28.906 (30.443)	Prec@5 62.109 (59.630)
Epoch: [56][570/7045]	Time 0.353 (0.248)	Data 0.302 (0.188)	Loss 3.1585 (2.9832)	Prec@1 29.297 (30.419)	Prec@5 56.641 (59.638)
Epoch: [56][580/7045]	Time 0.102 (0.248)	Data 0.002 (0.188)	Loss 3.0621 (2.9845)	Prec@1 30.469 (30.414)	Prec@5 60.547 (59.618)
Epoch: [56][590/7045]	Time 0.355 (0.248)	Data 0.304 (0.188)	Loss 3.1403 (2.9854)	Prec@1 26.562 (30.415)	Prec@5 53.516 (59.608)
Epoch: [56][600/7045]	Time 0.101 (0.248)	Data 0.049 (0.188)	Loss 2.9949 (2.9855)	Prec@1 32.422 (30.393)	Prec@5 58.203 (59.612)
Epoch: [56][610/7045]	Time 0.381 (0.248)	Data 0.330 (0.188)	Loss 2.9203 (2.9859)	Prec@1 30.078 (30.381)	Prec@5 60.938 (59.605)
Epoch: [56][620/7045]	Time 0.248 (0.248)	Data 0.197 (0.188)	Loss 3.0752 (2.9852)	Prec@1 29.688 (30.377)	Prec@5 57.812 (59.620)
Epoch: [56][630/7045]	Time 0.545 (0.248)	Data 0.494 (0.188)	Loss 2.8103 (2.9855)	Prec@1 37.500 (30.377)	Prec@5 62.891 (59.610)
Epoch: [56][640/7045]	Time 0.191 (0.248)	Data 0.134 (0.187)	Loss 3.0822 (2.9855)	Prec@1 29.297 (30.376)	Prec@5 56.641 (59.599)
Epoch: [56][650/7045]	Time 0.583 (0.248)	Data 0.532 (0.187)	Loss 2.9492 (2.9855)	Prec@1 31.641 (30.385)	Prec@5 59.766 (59.600)
Epoch: [56][660/7045]	Time 0.123 (0.247)	Data 0.071 (0.187)	Loss 2.8773 (2.9844)	Prec@1 36.328 (30.436)	Prec@5 62.109 (59.633)
Epoch: [56][670/7045]	Time 0.602 (0.248)	Data 0.550 (0.187)	Loss 3.0542 (2.9848)	Prec@1 29.297 (30.437)	Prec@5 57.812 (59.628)
Epoch: [56][680/7045]	Time 0.106 (0.247)	Data 0.054 (0.187)	Loss 3.0927 (2.9850)	Prec@1 28.516 (30.435)	Prec@5 58.203 (59.608)
Epoch: [56][690/7045]	Time 0.454 (0.247)	Data 0.403 (0.187)	Loss 2.9952 (2.9853)	Prec@1 27.344 (30.433)	Prec@5 59.375 (59.606)
Epoch: [56][700/7045]	Time 0.101 (0.247)	Data 0.003 (0.187)	Loss 2.9405 (2.9859)	Prec@1 30.078 (30.440)	Prec@5 62.891 (59.602)
Epoch: [56][710/7045]	Time 0.311 (0.247)	Data 0.259 (0.187)	Loss 3.1487 (2.9859)	Prec@1 28.516 (30.434)	Prec@5 58.594 (59.611)
Epoch: [56][720/7045]	Time 0.104 (0.247)	Data 0.008 (0.186)	Loss 3.0533 (2.9850)	Prec@1 32.422 (30.441)	Prec@5 61.719 (59.636)
Epoch: [56][730/7045]	Time 0.192 (0.247)	Data 0.141 (0.186)	Loss 2.9104 (2.9846)	Prec@1 30.469 (30.451)	Prec@5 60.156 (59.647)
Epoch: [56][740/7045]	Time 0.125 (0.247)	Data 0.073 (0.186)	Loss 3.0798 (2.9841)	Prec@1 27.344 (30.448)	Prec@5 60.156 (59.655)
Epoch: [56][750/7045]	Time 0.311 (0.247)	Data 0.260 (0.187)	Loss 3.0299 (2.9847)	Prec@1 30.859 (30.451)	Prec@5 60.156 (59.649)
Epoch: [56][760/7045]	Time 0.102 (0.247)	Data 0.011 (0.186)	Loss 3.0562 (2.9852)	Prec@1 28.906 (30.446)	Prec@5 55.469 (59.631)
Epoch: [56][770/7045]	Time 0.578 (0.247)	Data 0.526 (0.187)	Loss 2.9606 (2.9848)	Prec@1 26.562 (30.453)	Prec@5 60.156 (59.637)
Epoch: [56][780/7045]	Time 0.101 (0.247)	Data 0.002 (0.186)	Loss 3.1614 (2.9838)	Prec@1 26.953 (30.472)	Prec@5 57.031 (59.645)
Epoch: [56][790/7045]	Time 0.515 (0.247)	Data 0.462 (0.186)	Loss 2.9074 (2.9844)	Prec@1 29.688 (30.445)	Prec@5 61.328 (59.634)
Epoch: [56][800/7045]	Time 0.101 (0.246)	Data 0.048 (0.186)	Loss 2.9657 (2.9845)	Prec@1 28.906 (30.447)	Prec@5 59.766 (59.624)
Epoch: [56][810/7045]	Time 0.496 (0.247)	Data 0.445 (0.186)	Loss 3.1106 (2.9847)	Prec@1 26.172 (30.462)	Prec@5 61.719 (59.628)
Epoch: [56][820/7045]	Time 0.210 (0.246)	Data 0.160 (0.186)	Loss 2.8235 (2.9837)	Prec@1 32.812 (30.480)	Prec@5 62.500 (59.658)
Epoch: [56][830/7045]	Time 0.543 (0.247)	Data 0.491 (0.186)	Loss 3.0747 (2.9832)	Prec@1 30.859 (30.483)	Prec@5 58.594 (59.669)
Epoch: [56][840/7045]	Time 0.190 (0.246)	Data 0.139 (0.186)	Loss 2.7287 (2.9827)	Prec@1 33.594 (30.484)	Prec@5 64.844 (59.689)
Epoch: [56][850/7045]	Time 0.504 (0.246)	Data 0.452 (0.186)	Loss 2.9259 (2.9829)	Prec@1 31.641 (30.486)	Prec@5 64.062 (59.688)
Epoch: [56][860/7045]	Time 0.310 (0.246)	Data 0.259 (0.186)	Loss 3.0523 (2.9824)	Prec@1 26.172 (30.496)	Prec@5 59.375 (59.709)
Epoch: [56][870/7045]	Time 0.334 (0.246)	Data 0.284 (0.186)	Loss 2.8991 (2.9822)	Prec@1 35.156 (30.501)	Prec@5 57.422 (59.714)
Epoch: [56][880/7045]	Time 0.364 (0.246)	Data 0.312 (0.186)	Loss 2.8337 (2.9826)	Prec@1 33.594 (30.499)	Prec@5 62.891 (59.709)
Epoch: [56][890/7045]	Time 0.274 (0.246)	Data 0.223 (0.186)	Loss 2.9068 (2.9820)	Prec@1 32.812 (30.509)	Prec@5 60.547 (59.722)
Epoch: [56][900/7045]	Time 0.393 (0.246)	Data 0.342 (0.186)	Loss 3.0022 (2.9824)	Prec@1 32.812 (30.488)	Prec@5 56.250 (59.719)
Epoch: [56][910/7045]	Time 0.536 (0.246)	Data 0.483 (0.186)	Loss 2.9710 (2.9824)	Prec@1 28.125 (30.492)	Prec@5 58.984 (59.719)
Epoch: [56][920/7045]	Time 0.364 (0.246)	Data 0.313 (0.185)	Loss 3.0210 (2.9824)	Prec@1 30.078 (30.493)	Prec@5 56.641 (59.713)
Epoch: [56][930/7045]	Time 0.412 (0.246)	Data 0.361 (0.185)	Loss 2.9304 (2.9821)	Prec@1 31.250 (30.500)	Prec@5 59.766 (59.719)
Epoch: [56][940/7045]	Time 0.101 (0.246)	Data 0.004 (0.185)	Loss 3.0637 (2.9825)	Prec@1 26.953 (30.492)	Prec@5 59.375 (59.716)
Epoch: [56][950/7045]	Time 0.335 (0.246)	Data 0.283 (0.185)	Loss 2.9768 (2.9826)	Prec@1 27.734 (30.476)	Prec@5 58.594 (59.719)
Epoch: [56][960/7045]	Time 0.107 (0.246)	Data 0.056 (0.185)	Loss 3.1756 (2.9832)	Prec@1 27.734 (30.470)	Prec@5 55.469 (59.711)
Epoch: [56][970/7045]	Time 0.211 (0.246)	Data 0.159 (0.185)	Loss 2.9646 (2.9833)	Prec@1 32.031 (30.463)	Prec@5 60.156 (59.718)
Epoch: [56][980/7045]	Time 0.108 (0.246)	Data 0.055 (0.185)	Loss 2.8502 (2.9824)	Prec@1 30.078 (30.482)	Prec@5 62.891 (59.728)
Epoch: [56][990/7045]	Time 0.186 (0.246)	Data 0.134 (0.185)	Loss 2.9361 (2.9828)	Prec@1 32.812 (30.473)	Prec@5 60.938 (59.726)
Epoch: [56][1000/7045]	Time 0.133 (0.246)	Data 0.083 (0.185)	Loss 2.9783 (2.9829)	Prec@1 32.422 (30.473)	Prec@5 63.281 (59.712)
Epoch: [56][1010/7045]	Time 0.232 (0.246)	Data 0.180 (0.185)	Loss 3.0919 (2.9832)	Prec@1 29.688 (30.477)	Prec@5 58.984 (59.723)
Epoch: [56][1020/7045]	Time 0.109 (0.246)	Data 0.058 (0.185)	Loss 3.0101 (2.9832)	Prec@1 30.859 (30.477)	Prec@5 57.422 (59.719)
Epoch: [56][1030/7045]	Time 0.243 (0.246)	Data 0.191 (0.185)	Loss 2.9949 (2.9830)	Prec@1 32.812 (30.470)	Prec@5 60.547 (59.730)
Epoch: [56][1040/7045]	Time 0.105 (0.246)	Data 0.054 (0.185)	Loss 2.9310 (2.9830)	Prec@1 30.078 (30.479)	Prec@5 60.156 (59.733)
Epoch: [56][1050/7045]	Time 0.170 (0.246)	Data 0.117 (0.185)	Loss 2.9873 (2.9830)	Prec@1 30.078 (30.491)	Prec@5 57.031 (59.736)
Epoch: [56][1060/7045]	Time 0.109 (0.246)	Data 0.055 (0.185)	Loss 3.0981 (2.9832)	Prec@1 30.859 (30.491)	Prec@5 54.297 (59.733)
Epoch: [56][1070/7045]	Time 0.237 (0.246)	Data 0.187 (0.185)	Loss 3.1084 (2.9834)	Prec@1 30.469 (30.487)	Prec@5 58.203 (59.722)
Epoch: [56][1080/7045]	Time 0.359 (0.246)	Data 0.309 (0.185)	Loss 3.0154 (2.9834)	Prec@1 28.125 (30.481)	Prec@5 60.547 (59.724)
Epoch: [56][1090/7045]	Time 0.190 (0.246)	Data 0.139 (0.185)	Loss 2.8296 (2.9832)	Prec@1 33.203 (30.492)	Prec@5 60.938 (59.728)
Epoch: [56][1100/7045]	Time 0.295 (0.246)	Data 0.244 (0.185)	Loss 3.0634 (2.9833)	Prec@1 32.422 (30.479)	Prec@5 60.156 (59.726)
Epoch: [56][1110/7045]	Time 0.169 (0.246)	Data 0.119 (0.185)	Loss 2.8671 (2.9828)	Prec@1 30.859 (30.486)	Prec@5 60.938 (59.731)
Epoch: [56][1120/7045]	Time 0.235 (0.246)	Data 0.184 (0.185)	Loss 2.8576 (2.9825)	Prec@1 33.203 (30.488)	Prec@5 64.844 (59.744)
Epoch: [56][1130/7045]	Time 0.173 (0.245)	Data 0.121 (0.185)	Loss 2.9909 (2.9824)	Prec@1 29.688 (30.484)	Prec@5 59.766 (59.746)
Epoch: [56][1140/7045]	Time 0.199 (0.246)	Data 0.147 (0.185)	Loss 2.9481 (2.9827)	Prec@1 29.297 (30.488)	Prec@5 62.109 (59.746)
Epoch: [56][1150/7045]	Time 0.432 (0.246)	Data 0.378 (0.185)	Loss 3.1580 (2.9832)	Prec@1 29.688 (30.473)	Prec@5 57.812 (59.730)
Epoch: [56][1160/7045]	Time 0.103 (0.245)	Data 0.051 (0.185)	Loss 2.9202 (2.9833)	Prec@1 32.031 (30.478)	Prec@5 62.500 (59.729)
Epoch: [56][1170/7045]	Time 0.266 (0.246)	Data 0.207 (0.185)	Loss 2.9575 (2.9835)	Prec@1 30.078 (30.472)	Prec@5 63.281 (59.728)
Epoch: [56][1180/7045]	Time 0.593 (0.246)	Data 0.535 (0.186)	Loss 3.1189 (2.9834)	Prec@1 27.344 (30.466)	Prec@5 57.812 (59.732)
Epoch: [56][1190/7045]	Time 0.103 (0.246)	Data 0.052 (0.185)	Loss 3.2042 (2.9835)	Prec@1 29.688 (30.469)	Prec@5 54.297 (59.727)
Epoch: [56][1200/7045]	Time 0.460 (0.246)	Data 0.408 (0.185)	Loss 2.9654 (2.9837)	Prec@1 28.906 (30.463)	Prec@5 60.938 (59.722)
Epoch: [56][1210/7045]	Time 0.194 (0.246)	Data 0.142 (0.185)	Loss 3.1728 (2.9834)	Prec@1 27.734 (30.467)	Prec@5 54.688 (59.732)
Epoch: [56][1220/7045]	Time 0.107 (0.246)	Data 0.001 (0.186)	Loss 3.0816 (2.9831)	Prec@1 30.469 (30.474)	Prec@5 61.328 (59.738)
Epoch: [56][1230/7045]	Time 0.108 (0.246)	Data 0.056 (0.185)	Loss 2.8481 (2.9831)	Prec@1 34.375 (30.476)	Prec@5 60.938 (59.737)
Epoch: [56][1240/7045]	Time 0.287 (0.246)	Data 0.235 (0.186)	Loss 3.1009 (2.9835)	Prec@1 28.125 (30.473)	Prec@5 57.031 (59.729)
Epoch: [56][1250/7045]	Time 0.406 (0.246)	Data 0.354 (0.186)	Loss 2.8350 (2.9835)	Prec@1 32.422 (30.470)	Prec@5 60.938 (59.718)
Epoch: [56][1260/7045]	Time 0.112 (0.246)	Data 0.061 (0.186)	Loss 3.1949 (2.9839)	Prec@1 29.297 (30.473)	Prec@5 57.422 (59.719)
Epoch: [56][1270/7045]	Time 0.637 (0.246)	Data 0.585 (0.186)	Loss 2.8758 (2.9837)	Prec@1 32.031 (30.477)	Prec@5 61.328 (59.724)
Epoch: [56][1280/7045]	Time 0.192 (0.246)	Data 0.140 (0.186)	Loss 3.1826 (2.9840)	Prec@1 28.125 (30.470)	Prec@5 55.469 (59.716)
Epoch: [56][1290/7045]	Time 0.529 (0.246)	Data 0.479 (0.186)	Loss 2.9060 (2.9844)	Prec@1 32.031 (30.457)	Prec@5 56.641 (59.706)
Epoch: [56][1300/7045]	Time 0.206 (0.246)	Data 0.156 (0.185)	Loss 3.1468 (2.9842)	Prec@1 25.781 (30.455)	Prec@5 57.422 (59.712)
Epoch: [56][1310/7045]	Time 0.109 (0.246)	Data 0.001 (0.186)	Loss 2.8642 (2.9834)	Prec@1 35.547 (30.470)	Prec@5 62.500 (59.731)
Epoch: [56][1320/7045]	Time 0.102 (0.246)	Data 0.001 (0.185)	Loss 3.0965 (2.9834)	Prec@1 27.734 (30.472)	Prec@5 54.688 (59.727)
Epoch: [56][1330/7045]	Time 0.102 (0.246)	Data 0.006 (0.186)	Loss 2.9104 (2.9836)	Prec@1 30.859 (30.461)	Prec@5 59.766 (59.719)
Epoch: [56][1340/7045]	Time 0.518 (0.246)	Data 0.466 (0.185)	Loss 3.0077 (2.9836)	Prec@1 30.078 (30.470)	Prec@5 57.812 (59.717)
Epoch: [56][1350/7045]	Time 0.100 (0.246)	Data 0.001 (0.185)	Loss 3.0758 (2.9834)	Prec@1 32.422 (30.470)	Prec@5 58.984 (59.720)
Epoch: [56][1360/7045]	Time 0.589 (0.246)	Data 0.539 (0.185)	Loss 2.8989 (2.9827)	Prec@1 30.469 (30.486)	Prec@5 59.766 (59.737)
Epoch: [56][1370/7045]	Time 0.112 (0.246)	Data 0.060 (0.185)	Loss 3.1080 (2.9826)	Prec@1 28.125 (30.488)	Prec@5 57.422 (59.740)
Epoch: [56][1380/7045]	Time 0.298 (0.246)	Data 0.240 (0.185)	Loss 3.0439 (2.9830)	Prec@1 27.734 (30.489)	Prec@5 56.641 (59.735)
Epoch: [56][1390/7045]	Time 0.403 (0.246)	Data 0.352 (0.185)	Loss 2.9712 (2.9829)	Prec@1 31.250 (30.495)	Prec@5 58.984 (59.737)
Epoch: [56][1400/7045]	Time 0.102 (0.246)	Data 0.004 (0.185)	Loss 2.6697 (2.9825)	Prec@1 37.109 (30.507)	Prec@5 67.188 (59.753)
Epoch: [56][1410/7045]	Time 0.504 (0.246)	Data 0.453 (0.185)	Loss 2.7784 (2.9822)	Prec@1 36.328 (30.517)	Prec@5 67.578 (59.763)
Epoch: [56][1420/7045]	Time 0.107 (0.246)	Data 0.055 (0.185)	Loss 3.3216 (2.9827)	Prec@1 26.953 (30.512)	Prec@5 54.297 (59.751)
Epoch: [56][1430/7045]	Time 0.163 (0.246)	Data 0.108 (0.185)	Loss 3.0746 (2.9824)	Prec@1 29.688 (30.524)	Prec@5 55.859 (59.759)
Epoch: [56][1440/7045]	Time 0.104 (0.246)	Data 0.010 (0.185)	Loss 3.1566 (2.9825)	Prec@1 24.219 (30.523)	Prec@5 51.953 (59.759)
Epoch: [56][1450/7045]	Time 0.269 (0.246)	Data 0.218 (0.185)	Loss 3.0969 (2.9825)	Prec@1 27.344 (30.519)	Prec@5 57.031 (59.753)
Epoch: [56][1460/7045]	Time 0.108 (0.246)	Data 0.055 (0.185)	Loss 3.1806 (2.9828)	Prec@1 27.734 (30.520)	Prec@5 55.859 (59.749)
Epoch: [56][1470/7045]	Time 0.101 (0.246)	Data 0.001 (0.185)	Loss 2.9343 (2.9825)	Prec@1 30.859 (30.525)	Prec@5 61.719 (59.747)
Epoch: [56][1480/7045]	Time 0.382 (0.246)	Data 0.331 (0.185)	Loss 2.8596 (2.9824)	Prec@1 32.422 (30.534)	Prec@5 64.844 (59.752)
Epoch: [56][1490/7045]	Time 0.102 (0.246)	Data 0.046 (0.185)	Loss 3.0314 (2.9823)	Prec@1 30.078 (30.526)	Prec@5 55.859 (59.753)
Epoch: [56][1500/7045]	Time 0.632 (0.246)	Data 0.575 (0.185)	Loss 2.9692 (2.9825)	Prec@1 31.641 (30.522)	Prec@5 61.719 (59.757)
Epoch: [56][1510/7045]	Time 0.110 (0.246)	Data 0.058 (0.184)	Loss 2.9531 (2.9823)	Prec@1 30.078 (30.532)	Prec@5 60.547 (59.765)
Epoch: [56][1520/7045]	Time 0.268 (0.246)	Data 0.217 (0.185)	Loss 3.0653 (2.9821)	Prec@1 25.781 (30.528)	Prec@5 62.500 (59.770)
Epoch: [56][1530/7045]	Time 0.102 (0.246)	Data 0.051 (0.184)	Loss 2.7599 (2.9818)	Prec@1 34.766 (30.534)	Prec@5 62.109 (59.771)
Epoch: [56][1540/7045]	Time 0.102 (0.246)	Data 0.051 (0.185)	Loss 3.0099 (2.9818)	Prec@1 29.297 (30.544)	Prec@5 62.109 (59.772)
Epoch: [56][1550/7045]	Time 0.102 (0.246)	Data 0.001 (0.184)	Loss 3.0896 (2.9820)	Prec@1 29.688 (30.544)	Prec@5 55.469 (59.770)
Epoch: [56][1560/7045]	Time 0.116 (0.246)	Data 0.064 (0.184)	Loss 2.8611 (2.9820)	Prec@1 32.422 (30.551)	Prec@5 58.984 (59.772)
Epoch: [56][1570/7045]	Time 0.102 (0.246)	Data 0.001 (0.184)	Loss 2.9278 (2.9823)	Prec@1 32.031 (30.545)	Prec@5 61.719 (59.769)
Epoch: [56][1580/7045]	Time 0.107 (0.246)	Data 0.001 (0.184)	Loss 3.0993 (2.9825)	Prec@1 27.734 (30.546)	Prec@5 58.203 (59.763)
Epoch: [56][1590/7045]	Time 0.167 (0.246)	Data 0.115 (0.184)	Loss 2.8865 (2.9822)	Prec@1 32.812 (30.546)	Prec@5 62.500 (59.774)
Epoch: [56][1600/7045]	Time 0.103 (0.246)	Data 0.010 (0.184)	Loss 2.9261 (2.9818)	Prec@1 32.812 (30.544)	Prec@5 61.328 (59.783)
Epoch: [56][1610/7045]	Time 0.557 (0.246)	Data 0.505 (0.184)	Loss 2.9571 (2.9820)	Prec@1 30.859 (30.542)	Prec@5 58.594 (59.773)
Epoch: [56][1620/7045]	Time 0.101 (0.246)	Data 0.003 (0.184)	Loss 2.7902 (2.9817)	Prec@1 37.109 (30.551)	Prec@5 62.891 (59.777)
Epoch: [56][1630/7045]	Time 0.424 (0.246)	Data 0.372 (0.184)	Loss 3.0392 (2.9816)	Prec@1 32.031 (30.559)	Prec@5 58.594 (59.782)
Epoch: [56][1640/7045]	Time 0.191 (0.246)	Data 0.141 (0.184)	Loss 2.8863 (2.9815)	Prec@1 29.688 (30.568)	Prec@5 57.422 (59.785)
Epoch: [56][1650/7045]	Time 0.311 (0.246)	Data 0.259 (0.184)	Loss 2.8809 (2.9813)	Prec@1 30.859 (30.574)	Prec@5 60.938 (59.781)
Epoch: [56][1660/7045]	Time 0.326 (0.246)	Data 0.274 (0.184)	Loss 2.9511 (2.9814)	Prec@1 34.375 (30.572)	Prec@5 60.938 (59.783)
Epoch: [56][1670/7045]	Time 0.437 (0.246)	Data 0.385 (0.184)	Loss 2.9384 (2.9815)	Prec@1 31.641 (30.573)	Prec@5 64.062 (59.783)
Epoch: [56][1680/7045]	Time 0.363 (0.246)	Data 0.306 (0.184)	Loss 3.0277 (2.9818)	Prec@1 27.734 (30.565)	Prec@5 61.719 (59.775)
Epoch: [56][1690/7045]	Time 0.367 (0.246)	Data 0.316 (0.184)	Loss 2.9270 (2.9815)	Prec@1 33.594 (30.569)	Prec@5 57.422 (59.781)
Epoch: [56][1700/7045]	Time 0.389 (0.246)	Data 0.336 (0.184)	Loss 3.0428 (2.9814)	Prec@1 28.516 (30.565)	Prec@5 57.812 (59.781)
Epoch: [56][1710/7045]	Time 0.332 (0.246)	Data 0.281 (0.184)	Loss 3.0858 (2.9817)	Prec@1 30.859 (30.559)	Prec@5 53.906 (59.770)
Epoch: [56][1720/7045]	Time 0.499 (0.246)	Data 0.446 (0.183)	Loss 3.1556 (2.9820)	Prec@1 30.469 (30.553)	Prec@5 57.812 (59.769)
Epoch: [56][1730/7045]	Time 0.321 (0.246)	Data 0.271 (0.183)	Loss 3.0191 (2.9820)	Prec@1 31.641 (30.558)	Prec@5 58.203 (59.772)
Epoch: [56][1740/7045]	Time 0.442 (0.246)	Data 0.390 (0.183)	Loss 2.6231 (2.9817)	Prec@1 37.500 (30.562)	Prec@5 66.797 (59.777)
Epoch: [56][1750/7045]	Time 0.299 (0.246)	Data 0.249 (0.183)	Loss 2.8605 (2.9814)	Prec@1 34.375 (30.568)	Prec@5 62.500 (59.781)
Epoch: [56][1760/7045]	Time 0.451 (0.246)	Data 0.400 (0.183)	Loss 3.1460 (2.9814)	Prec@1 31.250 (30.563)	Prec@5 55.469 (59.785)
Epoch: [56][1770/7045]	Time 0.291 (0.246)	Data 0.241 (0.183)	Loss 2.8179 (2.9814)	Prec@1 34.766 (30.565)	Prec@5 63.672 (59.784)
Epoch: [56][1780/7045]	Time 0.632 (0.246)	Data 0.581 (0.183)	Loss 3.0650 (2.9816)	Prec@1 31.250 (30.560)	Prec@5 55.859 (59.779)
Epoch: [56][1790/7045]	Time 0.100 (0.246)	Data 0.001 (0.183)	Loss 2.9164 (2.9814)	Prec@1 33.203 (30.562)	Prec@5 63.281 (59.782)
Epoch: [56][1800/7045]	Time 0.696 (0.246)	Data 0.644 (0.183)	Loss 2.9970 (2.9817)	Prec@1 30.078 (30.552)	Prec@5 58.984 (59.777)
Epoch: [56][1810/7045]	Time 0.116 (0.246)	Data 0.065 (0.183)	Loss 3.1144 (2.9816)	Prec@1 30.859 (30.559)	Prec@5 56.641 (59.779)
Epoch: [56][1820/7045]	Time 0.470 (0.246)	Data 0.418 (0.183)	Loss 2.6953 (2.9818)	Prec@1 31.641 (30.558)	Prec@5 66.797 (59.774)
Epoch: [56][1830/7045]	Time 0.106 (0.246)	Data 0.054 (0.183)	Loss 3.1275 (2.9821)	Prec@1 25.000 (30.547)	Prec@5 58.203 (59.769)
Epoch: [56][1840/7045]	Time 0.110 (0.246)	Data 0.001 (0.183)	Loss 2.8398 (2.9820)	Prec@1 35.156 (30.542)	Prec@5 64.062 (59.772)
Epoch: [56][1850/7045]	Time 0.100 (0.246)	Data 0.001 (0.183)	Loss 3.0031 (2.9820)	Prec@1 27.344 (30.541)	Prec@5 59.375 (59.773)
Epoch: [56][1860/7045]	Time 0.241 (0.246)	Data 0.190 (0.183)	Loss 3.2366 (2.9821)	Prec@1 25.000 (30.541)	Prec@5 55.469 (59.777)
Epoch: [56][1870/7045]	Time 0.487 (0.246)	Data 0.436 (0.183)	Loss 2.8129 (2.9817)	Prec@1 32.422 (30.546)	Prec@5 65.234 (59.783)
Epoch: [56][1880/7045]	Time 0.107 (0.246)	Data 0.054 (0.183)	Loss 3.1201 (2.9819)	Prec@1 32.031 (30.544)	Prec@5 58.984 (59.776)
Epoch: [56][1890/7045]	Time 0.449 (0.246)	Data 0.398 (0.183)	Loss 2.9922 (2.9820)	Prec@1 32.031 (30.541)	Prec@5 58.594 (59.767)
Epoch: [56][1900/7045]	Time 0.347 (0.246)	Data 0.295 (0.183)	Loss 2.8793 (2.9820)	Prec@1 33.203 (30.540)	Prec@5 64.062 (59.767)
Epoch: [56][1910/7045]	Time 0.319 (0.246)	Data 0.268 (0.183)	Loss 2.9476 (2.9819)	Prec@1 27.344 (30.543)	Prec@5 60.547 (59.768)
Epoch: [56][1920/7045]	Time 0.295 (0.246)	Data 0.244 (0.183)	Loss 2.8868 (2.9821)	Prec@1 30.859 (30.544)	Prec@5 62.891 (59.764)
Epoch: [56][1930/7045]	Time 0.312 (0.246)	Data 0.262 (0.183)	Loss 2.8853 (2.9820)	Prec@1 33.984 (30.548)	Prec@5 64.062 (59.766)
Epoch: [56][1940/7045]	Time 0.308 (0.246)	Data 0.258 (0.183)	Loss 3.0901 (2.9821)	Prec@1 25.781 (30.546)	Prec@5 58.984 (59.766)
Epoch: [56][1950/7045]	Time 0.191 (0.246)	Data 0.138 (0.183)	Loss 2.9531 (2.9822)	Prec@1 27.344 (30.543)	Prec@5 62.891 (59.771)
Epoch: [56][1960/7045]	Time 0.102 (0.246)	Data 0.001 (0.183)	Loss 3.1240 (2.9822)	Prec@1 28.906 (30.544)	Prec@5 57.031 (59.769)
Epoch: [56][1970/7045]	Time 0.147 (0.246)	Data 0.095 (0.182)	Loss 3.1029 (2.9824)	Prec@1 32.422 (30.541)	Prec@5 56.250 (59.762)
Epoch: [56][1980/7045]	Time 0.102 (0.246)	Data 0.010 (0.182)	Loss 2.8052 (2.9824)	Prec@1 35.156 (30.545)	Prec@5 64.062 (59.765)
Epoch: [56][1990/7045]	Time 0.102 (0.246)	Data 0.050 (0.182)	Loss 3.0931 (2.9825)	Prec@1 29.688 (30.544)	Prec@5 59.375 (59.765)
Epoch: [56][2000/7045]	Time 0.116 (0.246)	Data 0.046 (0.182)	Loss 2.9442 (2.9823)	Prec@1 32.812 (30.548)	Prec@5 59.766 (59.766)
Epoch: [56][2010/7045]	Time 0.224 (0.246)	Data 0.173 (0.182)	Loss 3.2162 (2.9822)	Prec@1 25.391 (30.552)	Prec@5 54.688 (59.765)
Epoch: [56][2020/7045]	Time 0.107 (0.246)	Data 0.054 (0.182)	Loss 3.0590 (2.9824)	Prec@1 26.562 (30.547)	Prec@5 58.594 (59.767)
Epoch: [56][2030/7045]	Time 0.536 (0.246)	Data 0.485 (0.183)	Loss 3.0817 (2.9821)	Prec@1 30.469 (30.552)	Prec@5 59.375 (59.776)
Epoch: [56][2040/7045]	Time 0.101 (0.246)	Data 0.001 (0.182)	Loss 2.8689 (2.9822)	Prec@1 32.812 (30.552)	Prec@5 63.672 (59.775)
Epoch: [56][2050/7045]	Time 0.425 (0.246)	Data 0.374 (0.183)	Loss 2.9788 (2.9822)	Prec@1 27.734 (30.551)	Prec@5 60.547 (59.776)
Epoch: [56][2060/7045]	Time 0.201 (0.246)	Data 0.149 (0.182)	Loss 2.8373 (2.9818)	Prec@1 32.031 (30.556)	Prec@5 65.625 (59.783)
Epoch: [56][2070/7045]	Time 0.379 (0.246)	Data 0.328 (0.183)	Loss 3.0070 (2.9819)	Prec@1 30.078 (30.557)	Prec@5 60.156 (59.778)
Epoch: [56][2080/7045]	Time 0.102 (0.246)	Data 0.001 (0.183)	Loss 2.9556 (2.9819)	Prec@1 28.516 (30.554)	Prec@5 60.938 (59.774)
Epoch: [56][2090/7045]	Time 0.543 (0.246)	Data 0.492 (0.183)	Loss 3.2760 (2.9822)	Prec@1 30.859 (30.556)	Prec@5 52.734 (59.770)
Epoch: [56][2100/7045]	Time 0.102 (0.246)	Data 0.004 (0.182)	Loss 3.2236 (2.9822)	Prec@1 29.297 (30.560)	Prec@5 55.078 (59.773)
Epoch: [56][2110/7045]	Time 0.631 (0.246)	Data 0.580 (0.183)	Loss 3.0323 (2.9825)	Prec@1 28.906 (30.561)	Prec@5 59.375 (59.767)
Epoch: [56][2120/7045]	Time 0.102 (0.246)	Data 0.051 (0.182)	Loss 3.0272 (2.9825)	Prec@1 29.688 (30.563)	Prec@5 63.281 (59.766)
Epoch: [56][2130/7045]	Time 0.564 (0.246)	Data 0.513 (0.183)	Loss 3.0585 (2.9823)	Prec@1 27.734 (30.561)	Prec@5 55.469 (59.769)
Epoch: [56][2140/7045]	Time 0.116 (0.246)	Data 0.057 (0.182)	Loss 2.8983 (2.9824)	Prec@1 34.375 (30.565)	Prec@5 60.547 (59.764)
Epoch: [56][2150/7045]	Time 0.106 (0.246)	Data 0.055 (0.183)	Loss 2.8629 (2.9824)	Prec@1 33.203 (30.569)	Prec@5 59.766 (59.761)
Epoch: [56][2160/7045]	Time 0.237 (0.246)	Data 0.185 (0.183)	Loss 3.1034 (2.9823)	Prec@1 26.953 (30.569)	Prec@5 58.984 (59.764)
Epoch: [56][2170/7045]	Time 0.273 (0.246)	Data 0.219 (0.183)	Loss 3.2358 (2.9823)	Prec@1 28.125 (30.573)	Prec@5 56.250 (59.762)
Epoch: [56][2180/7045]	Time 0.100 (0.246)	Data 0.048 (0.183)	Loss 2.9686 (2.9824)	Prec@1 31.250 (30.573)	Prec@5 55.078 (59.757)
Epoch: [56][2190/7045]	Time 0.351 (0.246)	Data 0.298 (0.183)	Loss 2.9346 (2.9823)	Prec@1 32.812 (30.575)	Prec@5 62.109 (59.760)
Epoch: [56][2200/7045]	Time 0.101 (0.246)	Data 0.047 (0.183)	Loss 3.0132 (2.9823)	Prec@1 31.250 (30.572)	Prec@5 57.031 (59.760)
Epoch: [56][2210/7045]	Time 0.283 (0.246)	Data 0.232 (0.183)	Loss 3.0114 (2.9825)	Prec@1 30.078 (30.569)	Prec@5 59.766 (59.754)
Epoch: [56][2220/7045]	Time 0.231 (0.246)	Data 0.180 (0.183)	Loss 3.1435 (2.9825)	Prec@1 28.906 (30.570)	Prec@5 55.469 (59.758)
Epoch: [56][2230/7045]	Time 0.199 (0.246)	Data 0.147 (0.183)	Loss 3.0846 (2.9829)	Prec@1 26.172 (30.566)	Prec@5 58.203 (59.749)
Epoch: [56][2240/7045]	Time 0.227 (0.246)	Data 0.175 (0.183)	Loss 3.0343 (2.9831)	Prec@1 31.641 (30.569)	Prec@5 59.375 (59.746)
Epoch: [56][2250/7045]	Time 0.126 (0.246)	Data 0.075 (0.183)	Loss 3.2787 (2.9834)	Prec@1 24.219 (30.562)	Prec@5 55.469 (59.743)
Epoch: [56][2260/7045]	Time 0.205 (0.246)	Data 0.153 (0.183)	Loss 3.1638 (2.9834)	Prec@1 29.297 (30.558)	Prec@5 56.250 (59.741)
Epoch: [56][2270/7045]	Time 0.112 (0.246)	Data 0.062 (0.183)	Loss 2.8652 (2.9835)	Prec@1 31.250 (30.556)	Prec@5 62.500 (59.739)
Epoch: [56][2280/7045]	Time 0.286 (0.246)	Data 0.234 (0.183)	Loss 2.8633 (2.9837)	Prec@1 32.031 (30.556)	Prec@5 64.844 (59.738)
Epoch: [56][2290/7045]	Time 0.150 (0.246)	Data 0.098 (0.183)	Loss 3.0093 (2.9836)	Prec@1 28.125 (30.559)	Prec@5 60.938 (59.740)
Epoch: [56][2300/7045]	Time 0.212 (0.246)	Data 0.162 (0.183)	Loss 3.0969 (2.9838)	Prec@1 27.734 (30.556)	Prec@5 57.422 (59.738)
Epoch: [56][2310/7045]	Time 0.264 (0.246)	Data 0.205 (0.183)	Loss 3.0886 (2.9840)	Prec@1 31.250 (30.557)	Prec@5 61.328 (59.731)
Epoch: [56][2320/7045]	Time 0.303 (0.245)	Data 0.252 (0.183)	Loss 2.9590 (2.9838)	Prec@1 33.984 (30.563)	Prec@5 62.109 (59.736)
Epoch: [56][2330/7045]	Time 0.273 (0.245)	Data 0.214 (0.183)	Loss 3.0839 (2.9834)	Prec@1 25.781 (30.570)	Prec@5 54.297 (59.739)
Epoch: [56][2340/7045]	Time 0.295 (0.245)	Data 0.245 (0.183)	Loss 2.9871 (2.9835)	Prec@1 25.391 (30.570)	Prec@5 63.281 (59.742)
Epoch: [56][2350/7045]	Time 0.325 (0.245)	Data 0.274 (0.183)	Loss 2.9465 (2.9834)	Prec@1 32.422 (30.573)	Prec@5 59.766 (59.742)
Epoch: [56][2360/7045]	Time 0.226 (0.245)	Data 0.175 (0.183)	Loss 3.0604 (2.9832)	Prec@1 28.906 (30.579)	Prec@5 60.547 (59.750)
Epoch: [56][2370/7045]	Time 0.183 (0.245)	Data 0.126 (0.183)	Loss 2.8902 (2.9834)	Prec@1 36.719 (30.575)	Prec@5 58.594 (59.741)
Epoch: [56][2380/7045]	Time 0.197 (0.245)	Data 0.145 (0.183)	Loss 2.9786 (2.9835)	Prec@1 30.469 (30.575)	Prec@5 62.500 (59.743)
Epoch: [56][2390/7045]	Time 0.143 (0.245)	Data 0.091 (0.183)	Loss 2.9323 (2.9834)	Prec@1 32.812 (30.580)	Prec@5 57.812 (59.740)
Epoch: [56][2400/7045]	Time 0.103 (0.245)	Data 0.052 (0.183)	Loss 3.1857 (2.9832)	Prec@1 25.000 (30.584)	Prec@5 56.250 (59.748)
Epoch: [56][2410/7045]	Time 0.102 (0.245)	Data 0.007 (0.183)	Loss 3.0199 (2.9833)	Prec@1 29.688 (30.578)	Prec@5 58.594 (59.747)
Epoch: [56][2420/7045]	Time 0.112 (0.245)	Data 0.061 (0.183)	Loss 3.1041 (2.9834)	Prec@1 26.172 (30.574)	Prec@5 59.766 (59.747)
Epoch: [56][2430/7045]	Time 0.108 (0.245)	Data 0.008 (0.183)	Loss 3.0714 (2.9835)	Prec@1 26.172 (30.568)	Prec@5 58.203 (59.744)
Epoch: [56][2440/7045]	Time 0.102 (0.245)	Data 0.001 (0.183)	Loss 3.0781 (2.9838)	Prec@1 27.734 (30.565)	Prec@5 56.250 (59.739)
Epoch: [56][2450/7045]	Time 0.108 (0.245)	Data 0.008 (0.183)	Loss 3.0728 (2.9839)	Prec@1 28.906 (30.565)	Prec@5 55.469 (59.738)
Epoch: [56][2460/7045]	Time 0.102 (0.245)	Data 0.002 (0.182)	Loss 2.9036 (2.9839)	Prec@1 30.469 (30.567)	Prec@5 60.938 (59.736)
Epoch: [56][2470/7045]	Time 0.107 (0.245)	Data 0.047 (0.182)	Loss 2.7796 (2.9840)	Prec@1 33.203 (30.567)	Prec@5 64.453 (59.734)
Epoch: [56][2480/7045]	Time 0.102 (0.245)	Data 0.011 (0.182)	Loss 3.0854 (2.9842)	Prec@1 29.297 (30.560)	Prec@5 59.375 (59.730)
Epoch: [56][2490/7045]	Time 0.108 (0.245)	Data 0.056 (0.182)	Loss 3.1554 (2.9844)	Prec@1 26.172 (30.552)	Prec@5 59.375 (59.726)
Epoch: [56][2500/7045]	Time 0.149 (0.245)	Data 0.098 (0.182)	Loss 2.9186 (2.9846)	Prec@1 32.812 (30.549)	Prec@5 64.062 (59.725)
Epoch: [56][2510/7045]	Time 0.100 (0.245)	Data 0.004 (0.182)	Loss 2.8368 (2.9843)	Prec@1 32.031 (30.554)	Prec@5 62.500 (59.731)
Epoch: [56][2520/7045]	Time 0.344 (0.245)	Data 0.292 (0.182)	Loss 2.9126 (2.9845)	Prec@1 30.078 (30.552)	Prec@5 61.719 (59.730)
Epoch: [56][2530/7045]	Time 0.139 (0.245)	Data 0.088 (0.182)	Loss 2.9232 (2.9846)	Prec@1 31.641 (30.549)	Prec@5 61.719 (59.732)
Epoch: [56][2540/7045]	Time 0.598 (0.245)	Data 0.538 (0.182)	Loss 2.7886 (2.9846)	Prec@1 34.766 (30.549)	Prec@5 60.938 (59.731)
Epoch: [56][2550/7045]	Time 0.118 (0.245)	Data 0.065 (0.182)	Loss 3.0735 (2.9846)	Prec@1 30.078 (30.549)	Prec@5 59.766 (59.734)
Epoch: [56][2560/7045]	Time 0.457 (0.245)	Data 0.406 (0.182)	Loss 3.1855 (2.9844)	Prec@1 30.469 (30.549)	Prec@5 54.297 (59.740)
Epoch: [56][2570/7045]	Time 0.234 (0.245)	Data 0.181 (0.182)	Loss 2.9770 (2.9845)	Prec@1 32.812 (30.542)	Prec@5 62.500 (59.743)
Epoch: [56][2580/7045]	Time 0.312 (0.245)	Data 0.259 (0.182)	Loss 3.0834 (2.9845)	Prec@1 32.812 (30.547)	Prec@5 59.375 (59.746)
Epoch: [56][2590/7045]	Time 0.281 (0.245)	Data 0.230 (0.182)	Loss 2.9966 (2.9844)	Prec@1 32.422 (30.549)	Prec@5 58.984 (59.745)
Epoch: [56][2600/7045]	Time 0.107 (0.245)	Data 0.054 (0.182)	Loss 2.9440 (2.9844)	Prec@1 25.781 (30.547)	Prec@5 60.547 (59.750)
Epoch: [56][2610/7045]	Time 0.273 (0.245)	Data 0.221 (0.182)	Loss 3.0597 (2.9842)	Prec@1 30.078 (30.547)	Prec@5 59.375 (59.752)
Epoch: [56][2620/7045]	Time 0.102 (0.245)	Data 0.047 (0.182)	Loss 3.1602 (2.9845)	Prec@1 28.125 (30.543)	Prec@5 57.812 (59.752)
Epoch: [56][2630/7045]	Time 0.355 (0.245)	Data 0.303 (0.183)	Loss 2.8775 (2.9844)	Prec@1 30.078 (30.546)	Prec@5 60.547 (59.753)
Epoch: [56][2640/7045]	Time 0.109 (0.245)	Data 0.058 (0.182)	Loss 3.0231 (2.9843)	Prec@1 39.062 (30.550)	Prec@5 59.375 (59.759)
Epoch: [56][2650/7045]	Time 0.315 (0.245)	Data 0.264 (0.183)	Loss 2.8592 (2.9841)	Prec@1 32.422 (30.552)	Prec@5 59.766 (59.758)
Epoch: [56][2660/7045]	Time 0.216 (0.245)	Data 0.164 (0.183)	Loss 3.2201 (2.9841)	Prec@1 28.125 (30.548)	Prec@5 54.688 (59.758)
Epoch: [56][2670/7045]	Time 0.278 (0.245)	Data 0.227 (0.183)	Loss 3.0773 (2.9840)	Prec@1 25.391 (30.548)	Prec@5 58.203 (59.759)
Epoch: [56][2680/7045]	Time 0.316 (0.245)	Data 0.259 (0.183)	Loss 2.9867 (2.9841)	Prec@1 34.375 (30.549)	Prec@5 57.812 (59.758)
Epoch: [56][2690/7045]	Time 0.232 (0.245)	Data 0.181 (0.183)	Loss 2.8777 (2.9840)	Prec@1 32.422 (30.548)	Prec@5 62.891 (59.759)
Epoch: [56][2700/7045]	Time 0.359 (0.245)	Data 0.307 (0.183)	Loss 2.7931 (2.9839)	Prec@1 30.469 (30.548)	Prec@5 62.891 (59.761)
Epoch: [56][2710/7045]	Time 0.287 (0.245)	Data 0.235 (0.183)	Loss 3.2900 (2.9841)	Prec@1 22.266 (30.544)	Prec@5 54.688 (59.761)
Epoch: [56][2720/7045]	Time 0.113 (0.245)	Data 0.057 (0.183)	Loss 2.9646 (2.9844)	Prec@1 29.297 (30.539)	Prec@5 56.250 (59.753)
Epoch: [56][2730/7045]	Time 0.123 (0.245)	Data 0.071 (0.182)	Loss 3.0455 (2.9842)	Prec@1 30.469 (30.541)	Prec@5 56.250 (59.754)
Epoch: [56][2740/7045]	Time 0.264 (0.245)	Data 0.213 (0.183)	Loss 2.9015 (2.9842)	Prec@1 32.031 (30.545)	Prec@5 62.109 (59.757)
Epoch: [56][2750/7045]	Time 0.104 (0.245)	Data 0.052 (0.182)	Loss 3.0527 (2.9842)	Prec@1 27.734 (30.546)	Prec@5 57.031 (59.756)
Epoch: [56][2760/7045]	Time 0.411 (0.245)	Data 0.355 (0.183)	Loss 2.9809 (2.9843)	Prec@1 29.688 (30.546)	Prec@5 59.766 (59.756)
Epoch: [56][2770/7045]	Time 0.290 (0.245)	Data 0.239 (0.183)	Loss 2.9864 (2.9844)	Prec@1 32.031 (30.544)	Prec@5 58.594 (59.753)
Epoch: [56][2780/7045]	Time 0.259 (0.245)	Data 0.202 (0.183)	Loss 2.9119 (2.9846)	Prec@1 27.734 (30.538)	Prec@5 61.719 (59.747)
Epoch: [56][2790/7045]	Time 0.431 (0.245)	Data 0.379 (0.183)	Loss 3.1294 (2.9848)	Prec@1 29.688 (30.539)	Prec@5 57.031 (59.739)
Epoch: [56][2800/7045]	Time 0.383 (0.245)	Data 0.331 (0.183)	Loss 3.3713 (2.9850)	Prec@1 23.047 (30.533)	Prec@5 51.172 (59.734)
Epoch: [56][2810/7045]	Time 0.337 (0.245)	Data 0.284 (0.183)	Loss 2.8484 (2.9849)	Prec@1 33.984 (30.534)	Prec@5 60.547 (59.735)
Epoch: [56][2820/7045]	Time 0.303 (0.245)	Data 0.252 (0.183)	Loss 3.0651 (2.9848)	Prec@1 29.297 (30.532)	Prec@5 57.422 (59.732)
Epoch: [56][2830/7045]	Time 0.328 (0.245)	Data 0.276 (0.183)	Loss 2.9898 (2.9849)	Prec@1 30.859 (30.533)	Prec@5 59.375 (59.728)
Epoch: [56][2840/7045]	Time 0.314 (0.245)	Data 0.256 (0.183)	Loss 3.0679 (2.9850)	Prec@1 31.641 (30.534)	Prec@5 58.594 (59.727)
Epoch: [56][2850/7045]	Time 0.320 (0.245)	Data 0.270 (0.183)	Loss 3.1238 (2.9851)	Prec@1 29.297 (30.537)	Prec@5 55.078 (59.726)
Epoch: [56][2860/7045]	Time 0.305 (0.245)	Data 0.255 (0.183)	Loss 2.9168 (2.9850)	Prec@1 32.031 (30.536)	Prec@5 60.547 (59.726)
Epoch: [56][2870/7045]	Time 0.466 (0.245)	Data 0.407 (0.183)	Loss 2.7764 (2.9851)	Prec@1 34.375 (30.533)	Prec@5 64.844 (59.724)
Epoch: [56][2880/7045]	Time 0.152 (0.245)	Data 0.101 (0.183)	Loss 3.0782 (2.9853)	Prec@1 29.688 (30.531)	Prec@5 55.859 (59.717)
Epoch: [56][2890/7045]	Time 0.542 (0.245)	Data 0.490 (0.183)	Loss 2.9171 (2.9852)	Prec@1 30.859 (30.533)	Prec@5 61.719 (59.723)
Epoch: [56][2900/7045]	Time 0.101 (0.245)	Data 0.001 (0.183)	Loss 3.0350 (2.9851)	Prec@1 31.641 (30.533)	Prec@5 60.547 (59.721)
Epoch: [56][2910/7045]	Time 0.679 (0.245)	Data 0.621 (0.183)	Loss 2.9649 (2.9852)	Prec@1 31.250 (30.530)	Prec@5 57.031 (59.717)
Epoch: [56][2920/7045]	Time 0.102 (0.245)	Data 0.050 (0.183)	Loss 2.9330 (2.9852)	Prec@1 33.594 (30.532)	Prec@5 60.938 (59.717)
Epoch: [56][2930/7045]	Time 0.558 (0.245)	Data 0.507 (0.183)	Loss 3.1143 (2.9850)	Prec@1 23.828 (30.534)	Prec@5 57.812 (59.721)
Epoch: [56][2940/7045]	Time 0.231 (0.245)	Data 0.181 (0.183)	Loss 3.0281 (2.9852)	Prec@1 31.641 (30.536)	Prec@5 56.250 (59.718)
Epoch: [56][2950/7045]	Time 0.109 (0.245)	Data 0.006 (0.183)	Loss 2.9936 (2.9851)	Prec@1 29.297 (30.535)	Prec@5 58.984 (59.720)
Epoch: [56][2960/7045]	Time 0.233 (0.245)	Data 0.181 (0.183)	Loss 2.9256 (2.9854)	Prec@1 30.859 (30.532)	Prec@5 60.156 (59.716)
Epoch: [56][2970/7045]	Time 0.242 (0.245)	Data 0.190 (0.183)	Loss 2.9589 (2.9855)	Prec@1 32.422 (30.531)	Prec@5 61.719 (59.718)
Epoch: [56][2980/7045]	Time 0.101 (0.245)	Data 0.004 (0.183)	Loss 3.0959 (2.9855)	Prec@1 32.031 (30.532)	Prec@5 52.344 (59.719)
Epoch: [56][2990/7045]	Time 0.237 (0.245)	Data 0.186 (0.183)	Loss 3.0016 (2.9855)	Prec@1 26.562 (30.533)	Prec@5 59.375 (59.718)
Epoch: [56][3000/7045]	Time 0.207 (0.245)	Data 0.155 (0.183)	Loss 2.9353 (2.9854)	Prec@1 32.422 (30.536)	Prec@5 57.422 (59.717)
Epoch: [56][3010/7045]	Time 0.102 (0.245)	Data 0.004 (0.183)	Loss 2.9386 (2.9852)	Prec@1 33.203 (30.540)	Prec@5 60.547 (59.721)
Epoch: [56][3020/7045]	Time 0.176 (0.245)	Data 0.125 (0.183)	Loss 3.0132 (2.9855)	Prec@1 28.125 (30.532)	Prec@5 60.547 (59.720)
Epoch: [56][3030/7045]	Time 0.435 (0.245)	Data 0.383 (0.183)	Loss 3.0720 (2.9855)	Prec@1 32.031 (30.532)	Prec@5 58.594 (59.722)
Epoch: [56][3040/7045]	Time 0.255 (0.245)	Data 0.196 (0.183)	Loss 3.0821 (2.9855)	Prec@1 29.688 (30.533)	Prec@5 56.641 (59.724)
Epoch: [56][3050/7045]	Time 0.231 (0.245)	Data 0.179 (0.183)	Loss 2.8744 (2.9855)	Prec@1 32.031 (30.530)	Prec@5 62.109 (59.724)
Epoch: [56][3060/7045]	Time 0.183 (0.245)	Data 0.131 (0.183)	Loss 3.1297 (2.9857)	Prec@1 26.172 (30.529)	Prec@5 57.812 (59.724)
Epoch: [56][3070/7045]	Time 0.102 (0.245)	Data 0.001 (0.183)	Loss 3.0120 (2.9856)	Prec@1 28.906 (30.528)	Prec@5 59.766 (59.726)
Epoch: [56][3080/7045]	Time 0.102 (0.245)	Data 0.001 (0.183)	Loss 3.2025 (2.9857)	Prec@1 25.000 (30.524)	Prec@5 54.297 (59.722)
Epoch: [56][3090/7045]	Time 0.102 (0.245)	Data 0.006 (0.183)	Loss 3.1089 (2.9861)	Prec@1 26.953 (30.516)	Prec@5 53.125 (59.712)
Epoch: [56][3100/7045]	Time 0.356 (0.245)	Data 0.304 (0.183)	Loss 3.0795 (2.9862)	Prec@1 27.344 (30.515)	Prec@5 58.203 (59.711)
Epoch: [56][3110/7045]	Time 0.158 (0.245)	Data 0.106 (0.183)	Loss 3.2253 (2.9863)	Prec@1 30.859 (30.514)	Prec@5 58.984 (59.708)
Epoch: [56][3120/7045]	Time 0.236 (0.245)	Data 0.184 (0.183)	Loss 2.8515 (2.9865)	Prec@1 32.812 (30.510)	Prec@5 63.672 (59.702)
Epoch: [56][3130/7045]	Time 0.100 (0.245)	Data 0.005 (0.183)	Loss 2.9335 (2.9865)	Prec@1 30.469 (30.509)	Prec@5 59.375 (59.703)
Epoch: [56][3140/7045]	Time 0.221 (0.245)	Data 0.169 (0.183)	Loss 2.7155 (2.9864)	Prec@1 28.125 (30.508)	Prec@5 66.797 (59.705)
Epoch: [56][3150/7045]	Time 0.104 (0.245)	Data 0.002 (0.183)	Loss 3.1060 (2.9863)	Prec@1 27.734 (30.509)	Prec@5 57.812 (59.705)
Epoch: [56][3160/7045]	Time 0.529 (0.245)	Data 0.478 (0.183)	Loss 3.1796 (2.9865)	Prec@1 25.391 (30.506)	Prec@5 53.516 (59.701)
Epoch: [56][3170/7045]	Time 0.102 (0.245)	Data 0.001 (0.183)	Loss 2.9490 (2.9865)	Prec@1 32.812 (30.510)	Prec@5 59.766 (59.701)
Epoch: [56][3180/7045]	Time 0.627 (0.245)	Data 0.576 (0.183)	Loss 3.2653 (2.9865)	Prec@1 25.000 (30.511)	Prec@5 55.859 (59.699)
Epoch: [56][3190/7045]	Time 0.108 (0.245)	Data 0.005 (0.183)	Loss 3.0465 (2.9867)	Prec@1 28.125 (30.508)	Prec@5 56.250 (59.695)
Epoch: [56][3200/7045]	Time 0.560 (0.245)	Data 0.509 (0.183)	Loss 2.9918 (2.9867)	Prec@1 29.688 (30.508)	Prec@5 58.203 (59.694)
Epoch: [56][3210/7045]	Time 0.102 (0.245)	Data 0.003 (0.183)	Loss 3.0965 (2.9868)	Prec@1 26.953 (30.507)	Prec@5 58.203 (59.693)
Epoch: [56][3220/7045]	Time 0.570 (0.245)	Data 0.519 (0.183)	Loss 3.1055 (2.9868)	Prec@1 28.516 (30.509)	Prec@5 55.078 (59.690)
Epoch: [56][3230/7045]	Time 0.263 (0.245)	Data 0.205 (0.183)	Loss 3.0651 (2.9868)	Prec@1 31.641 (30.513)	Prec@5 58.594 (59.690)
Epoch: [56][3240/7045]	Time 0.500 (0.245)	Data 0.441 (0.183)	Loss 2.8298 (2.9868)	Prec@1 30.078 (30.510)	Prec@5 63.672 (59.692)
Epoch: [56][3250/7045]	Time 0.350 (0.245)	Data 0.299 (0.183)	Loss 3.0553 (2.9868)	Prec@1 30.078 (30.513)	Prec@5 62.109 (59.692)
Epoch: [56][3260/7045]	Time 0.401 (0.245)	Data 0.350 (0.183)	Loss 2.9964 (2.9869)	Prec@1 31.250 (30.513)	Prec@5 60.156 (59.688)
Epoch: [56][3270/7045]	Time 0.172 (0.245)	Data 0.121 (0.183)	Loss 2.9758 (2.9866)	Prec@1 32.812 (30.515)	Prec@5 59.766 (59.693)
Epoch: [56][3280/7045]	Time 0.288 (0.245)	Data 0.238 (0.183)	Loss 2.8885 (2.9866)	Prec@1 32.031 (30.516)	Prec@5 61.328 (59.694)
Epoch: [56][3290/7045]	Time 0.143 (0.245)	Data 0.092 (0.183)	Loss 3.2008 (2.9865)	Prec@1 27.344 (30.517)	Prec@5 51.562 (59.691)
Epoch: [56][3300/7045]	Time 0.102 (0.245)	Data 0.001 (0.183)	Loss 2.9157 (2.9866)	Prec@1 31.250 (30.516)	Prec@5 61.328 (59.691)
Epoch: [56][3310/7045]	Time 0.309 (0.245)	Data 0.258 (0.183)	Loss 3.1348 (2.9866)	Prec@1 30.469 (30.517)	Prec@5 58.984 (59.690)
Epoch: [56][3320/7045]	Time 0.103 (0.245)	Data 0.051 (0.183)	Loss 3.0039 (2.9867)	Prec@1 26.172 (30.514)	Prec@5 62.109 (59.690)
Epoch: [56][3330/7045]	Time 0.309 (0.245)	Data 0.257 (0.183)	Loss 3.0136 (2.9865)	Prec@1 31.250 (30.518)	Prec@5 58.203 (59.694)
Epoch: [56][3340/7045]	Time 0.100 (0.245)	Data 0.047 (0.183)	Loss 3.1111 (2.9864)	Prec@1 26.953 (30.517)	Prec@5 57.812 (59.697)
Epoch: [56][3350/7045]	Time 0.229 (0.245)	Data 0.177 (0.183)	Loss 3.1129 (2.9866)	Prec@1 30.078 (30.516)	Prec@5 56.641 (59.696)
Epoch: [56][3360/7045]	Time 0.102 (0.245)	Data 0.001 (0.183)	Loss 2.8234 (2.9863)	Prec@1 33.984 (30.521)	Prec@5 59.375 (59.699)
Epoch: [56][3370/7045]	Time 0.159 (0.245)	Data 0.108 (0.183)	Loss 2.9883 (2.9860)	Prec@1 31.641 (30.525)	Prec@5 58.984 (59.702)
Epoch: [56][3380/7045]	Time 0.101 (0.245)	Data 0.003 (0.183)	Loss 3.1355 (2.9862)	Prec@1 26.562 (30.524)	Prec@5 57.812 (59.698)
Epoch: [56][3390/7045]	Time 0.199 (0.245)	Data 0.147 (0.183)	Loss 3.0575 (2.9863)	Prec@1 29.688 (30.523)	Prec@5 54.688 (59.697)
Epoch: [56][3400/7045]	Time 0.101 (0.245)	Data 0.002 (0.183)	Loss 3.0624 (2.9863)	Prec@1 33.984 (30.528)	Prec@5 58.594 (59.695)
Epoch: [56][3410/7045]	Time 0.310 (0.245)	Data 0.259 (0.183)	Loss 3.2083 (2.9865)	Prec@1 26.562 (30.524)	Prec@5 54.297 (59.687)
Epoch: [56][3420/7045]	Time 0.110 (0.245)	Data 0.004 (0.183)	Loss 3.0142 (2.9865)	Prec@1 30.859 (30.523)	Prec@5 57.422 (59.685)
Epoch: [56][3430/7045]	Time 0.282 (0.245)	Data 0.231 (0.183)	Loss 3.1010 (2.9867)	Prec@1 29.688 (30.519)	Prec@5 58.984 (59.684)
Epoch: [56][3440/7045]	Time 0.102 (0.245)	Data 0.009 (0.183)	Loss 2.8930 (2.9866)	Prec@1 31.641 (30.523)	Prec@5 63.281 (59.688)
Epoch: [56][3450/7045]	Time 0.202 (0.245)	Data 0.150 (0.183)	Loss 2.8679 (2.9866)	Prec@1 34.375 (30.525)	Prec@5 60.938 (59.687)
Epoch: [56][3460/7045]	Time 0.124 (0.245)	Data 0.073 (0.183)	Loss 3.1215 (2.9867)	Prec@1 29.688 (30.524)	Prec@5 51.172 (59.685)
Epoch: [56][3470/7045]	Time 0.380 (0.245)	Data 0.329 (0.183)	Loss 2.9973 (2.9869)	Prec@1 28.906 (30.520)	Prec@5 57.812 (59.684)
Epoch: [56][3480/7045]	Time 0.109 (0.245)	Data 0.001 (0.183)	Loss 2.9933 (2.9868)	Prec@1 29.297 (30.521)	Prec@5 60.938 (59.686)
Epoch: [56][3490/7045]	Time 0.567 (0.245)	Data 0.515 (0.183)	Loss 3.1093 (2.9869)	Prec@1 24.609 (30.519)	Prec@5 58.203 (59.689)
Epoch: [56][3500/7045]	Time 0.103 (0.245)	Data 0.001 (0.183)	Loss 3.0064 (2.9868)	Prec@1 29.688 (30.523)	Prec@5 55.859 (59.690)
Epoch: [56][3510/7045]	Time 0.200 (0.245)	Data 0.148 (0.183)	Loss 2.9046 (2.9867)	Prec@1 33.203 (30.526)	Prec@5 58.594 (59.690)
Epoch: [56][3520/7045]	Time 0.102 (0.245)	Data 0.003 (0.183)	Loss 3.0853 (2.9869)	Prec@1 33.203 (30.524)	Prec@5 59.766 (59.692)
Epoch: [56][3530/7045]	Time 0.201 (0.245)	Data 0.150 (0.183)	Loss 2.9610 (2.9867)	Prec@1 31.641 (30.527)	Prec@5 59.375 (59.694)
Epoch: [56][3540/7045]	Time 0.107 (0.245)	Data 0.055 (0.183)	Loss 2.9676 (2.9868)	Prec@1 32.812 (30.526)	Prec@5 60.156 (59.694)
Epoch: [56][3550/7045]	Time 0.594 (0.245)	Data 0.542 (0.183)	Loss 3.0553 (2.9867)	Prec@1 29.688 (30.528)	Prec@5 60.156 (59.695)
Epoch: [56][3560/7045]	Time 0.109 (0.245)	Data 0.001 (0.183)	Loss 3.0727 (2.9867)	Prec@1 30.078 (30.526)	Prec@5 60.938 (59.695)
Epoch: [56][3570/7045]	Time 0.483 (0.245)	Data 0.431 (0.183)	Loss 2.8195 (2.9866)	Prec@1 32.812 (30.527)	Prec@5 62.500 (59.698)
Epoch: [56][3580/7045]	Time 0.109 (0.245)	Data 0.005 (0.183)	Loss 2.9209 (2.9866)	Prec@1 32.812 (30.526)	Prec@5 58.203 (59.697)
Epoch: [56][3590/7045]	Time 0.352 (0.245)	Data 0.300 (0.183)	Loss 2.9208 (2.9866)	Prec@1 29.688 (30.526)	Prec@5 59.766 (59.700)
Epoch: [56][3600/7045]	Time 0.102 (0.245)	Data 0.006 (0.183)	Loss 2.8218 (2.9866)	Prec@1 36.328 (30.523)	Prec@5 65.625 (59.700)
Epoch: [56][3610/7045]	Time 0.153 (0.245)	Data 0.101 (0.183)	Loss 3.0215 (2.9866)	Prec@1 31.641 (30.520)	Prec@5 59.766 (59.705)
Epoch: [56][3620/7045]	Time 0.125 (0.245)	Data 0.074 (0.183)	Loss 2.7726 (2.9867)	Prec@1 33.203 (30.515)	Prec@5 62.500 (59.702)
Epoch: [56][3630/7045]	Time 0.142 (0.245)	Data 0.091 (0.183)	Loss 2.9407 (2.9867)	Prec@1 34.766 (30.512)	Prec@5 62.109 (59.699)
Epoch: [56][3640/7045]	Time 0.238 (0.245)	Data 0.188 (0.183)	Loss 2.9817 (2.9868)	Prec@1 30.078 (30.512)	Prec@5 59.375 (59.697)
Epoch: [56][3650/7045]	Time 0.357 (0.245)	Data 0.305 (0.183)	Loss 2.9433 (2.9869)	Prec@1 29.688 (30.511)	Prec@5 60.547 (59.697)
Epoch: [56][3660/7045]	Time 0.261 (0.245)	Data 0.211 (0.183)	Loss 2.8883 (2.9868)	Prec@1 33.984 (30.513)	Prec@5 62.109 (59.703)
Epoch: [56][3670/7045]	Time 0.397 (0.245)	Data 0.346 (0.183)	Loss 3.0362 (2.9869)	Prec@1 27.344 (30.508)	Prec@5 60.547 (59.701)
Epoch: [56][3680/7045]	Time 0.101 (0.245)	Data 0.001 (0.183)	Loss 2.9991 (2.9869)	Prec@1 26.562 (30.509)	Prec@5 56.250 (59.698)
Epoch: [56][3690/7045]	Time 0.371 (0.245)	Data 0.321 (0.183)	Loss 3.0717 (2.9868)	Prec@1 29.297 (30.511)	Prec@5 58.984 (59.704)
Epoch: [56][3700/7045]	Time 0.382 (0.245)	Data 0.329 (0.183)	Loss 2.9523 (2.9868)	Prec@1 31.641 (30.510)	Prec@5 61.328 (59.705)
Epoch: [56][3710/7045]	Time 0.342 (0.245)	Data 0.291 (0.183)	Loss 2.9455 (2.9869)	Prec@1 33.203 (30.511)	Prec@5 62.500 (59.704)
Epoch: [56][3720/7045]	Time 0.195 (0.245)	Data 0.143 (0.183)	Loss 2.8611 (2.9869)	Prec@1 35.938 (30.510)	Prec@5 62.500 (59.704)
Epoch: [56][3730/7045]	Time 0.402 (0.245)	Data 0.352 (0.183)	Loss 3.1700 (2.9869)	Prec@1 29.297 (30.511)	Prec@5 55.078 (59.705)
Epoch: [56][3740/7045]	Time 0.109 (0.245)	Data 0.001 (0.183)	Loss 2.8566 (2.9869)	Prec@1 29.688 (30.509)	Prec@5 64.062 (59.704)
Epoch: [56][3750/7045]	Time 0.352 (0.245)	Data 0.301 (0.183)	Loss 3.2206 (2.9868)	Prec@1 26.562 (30.510)	Prec@5 54.297 (59.705)
Epoch: [56][3760/7045]	Time 0.101 (0.245)	Data 0.047 (0.183)	Loss 3.2527 (2.9869)	Prec@1 26.953 (30.510)	Prec@5 55.469 (59.705)
Epoch: [56][3770/7045]	Time 0.466 (0.245)	Data 0.415 (0.183)	Loss 3.0433 (2.9869)	Prec@1 30.469 (30.506)	Prec@5 57.031 (59.705)
Epoch: [56][3780/7045]	Time 0.127 (0.245)	Data 0.076 (0.183)	Loss 2.9725 (2.9870)	Prec@1 32.812 (30.506)	Prec@5 61.328 (59.701)
Epoch: [56][3790/7045]	Time 0.421 (0.245)	Data 0.370 (0.183)	Loss 3.0194 (2.9871)	Prec@1 29.688 (30.504)	Prec@5 59.375 (59.700)
Epoch: [56][3800/7045]	Time 0.111 (0.245)	Data 0.060 (0.183)	Loss 3.1517 (2.9870)	Prec@1 27.344 (30.504)	Prec@5 58.203 (59.697)
Epoch: [56][3810/7045]	Time 0.183 (0.245)	Data 0.132 (0.183)	Loss 3.0386 (2.9870)	Prec@1 28.906 (30.502)	Prec@5 56.641 (59.696)
Epoch: [56][3820/7045]	Time 0.135 (0.245)	Data 0.084 (0.183)	Loss 2.9043 (2.9871)	Prec@1 32.031 (30.500)	Prec@5 66.016 (59.695)
Epoch: [56][3830/7045]	Time 0.102 (0.245)	Data 0.001 (0.183)	Loss 2.8469 (2.9872)	Prec@1 30.859 (30.494)	Prec@5 57.031 (59.692)
Epoch: [56][3840/7045]	Time 0.171 (0.245)	Data 0.119 (0.183)	Loss 2.9259 (2.9872)	Prec@1 28.516 (30.492)	Prec@5 60.938 (59.693)
Epoch: [56][3850/7045]	Time 0.272 (0.245)	Data 0.221 (0.183)	Loss 2.7456 (2.9871)	Prec@1 36.328 (30.493)	Prec@5 64.844 (59.698)
Epoch: [56][3860/7045]	Time 0.297 (0.245)	Data 0.237 (0.183)	Loss 2.8526 (2.9871)	Prec@1 30.469 (30.491)	Prec@5 63.672 (59.697)
Epoch: [56][3870/7045]	Time 0.368 (0.245)	Data 0.317 (0.183)	Loss 3.1222 (2.9871)	Prec@1 27.734 (30.493)	Prec@5 53.125 (59.695)
Epoch: [56][3880/7045]	Time 0.230 (0.245)	Data 0.172 (0.183)	Loss 3.1093 (2.9871)	Prec@1 26.172 (30.492)	Prec@5 57.422 (59.693)
Epoch: [56][3890/7045]	Time 0.647 (0.245)	Data 0.596 (0.183)	Loss 2.9609 (2.9872)	Prec@1 34.375 (30.495)	Prec@5 59.766 (59.695)
Epoch: [56][3900/7045]	Time 0.109 (0.245)	Data 0.057 (0.183)	Loss 2.7881 (2.9870)	Prec@1 31.641 (30.498)	Prec@5 64.844 (59.699)
Epoch: [56][3910/7045]	Time 0.441 (0.245)	Data 0.389 (0.183)	Loss 3.0154 (2.9872)	Prec@1 32.031 (30.496)	Prec@5 59.375 (59.700)
Epoch: [56][3920/7045]	Time 0.108 (0.245)	Data 0.001 (0.183)	Loss 2.9377 (2.9871)	Prec@1 29.297 (30.499)	Prec@5 61.328 (59.701)
Epoch: [56][3930/7045]	Time 0.586 (0.245)	Data 0.533 (0.183)	Loss 3.0671 (2.9873)	Prec@1 26.953 (30.497)	Prec@5 57.422 (59.699)
Epoch: [56][3940/7045]	Time 0.102 (0.245)	Data 0.005 (0.183)	Loss 2.9223 (2.9874)	Prec@1 33.594 (30.496)	Prec@5 60.547 (59.699)
Epoch: [56][3950/7045]	Time 0.336 (0.245)	Data 0.284 (0.183)	Loss 3.1587 (2.9874)	Prec@1 29.297 (30.500)	Prec@5 57.031 (59.700)
Epoch: [56][3960/7045]	Time 0.103 (0.245)	Data 0.050 (0.183)	Loss 3.1221 (2.9875)	Prec@1 31.641 (30.497)	Prec@5 55.859 (59.696)
Epoch: [56][3970/7045]	Time 0.335 (0.245)	Data 0.283 (0.183)	Loss 3.0423 (2.9876)	Prec@1 27.344 (30.496)	Prec@5 58.594 (59.695)
Epoch: [56][3980/7045]	Time 0.272 (0.245)	Data 0.221 (0.183)	Loss 2.8459 (2.9876)	Prec@1 33.984 (30.496)	Prec@5 60.547 (59.693)
Epoch: [56][3990/7045]	Time 0.249 (0.245)	Data 0.199 (0.183)	Loss 3.1060 (2.9876)	Prec@1 30.859 (30.495)	Prec@5 58.594 (59.694)
Epoch: [56][4000/7045]	Time 0.622 (0.245)	Data 0.570 (0.183)	Loss 2.8397 (2.9877)	Prec@1 32.812 (30.490)	Prec@5 64.844 (59.692)
Epoch: [56][4010/7045]	Time 0.272 (0.245)	Data 0.221 (0.183)	Loss 2.9676 (2.9877)	Prec@1 31.641 (30.493)	Prec@5 61.719 (59.692)
Epoch: [56][4020/7045]	Time 0.556 (0.245)	Data 0.505 (0.183)	Loss 3.0374 (2.9878)	Prec@1 31.641 (30.492)	Prec@5 57.031 (59.689)
Epoch: [56][4030/7045]	Time 0.104 (0.245)	Data 0.001 (0.183)	Loss 3.0547 (2.9876)	Prec@1 27.344 (30.493)	Prec@5 57.422 (59.694)
Epoch: [56][4040/7045]	Time 0.147 (0.245)	Data 0.096 (0.183)	Loss 2.8802 (2.9876)	Prec@1 33.594 (30.493)	Prec@5 58.203 (59.694)
Epoch: [56][4050/7045]	Time 0.101 (0.245)	Data 0.007 (0.183)	Loss 2.8864 (2.9875)	Prec@1 34.375 (30.495)	Prec@5 64.062 (59.699)
Epoch: [56][4060/7045]	Time 0.185 (0.245)	Data 0.133 (0.183)	Loss 3.1018 (2.9877)	Prec@1 29.688 (30.492)	Prec@5 57.422 (59.693)
Epoch: [56][4070/7045]	Time 0.126 (0.245)	Data 0.074 (0.183)	Loss 2.9245 (2.9878)	Prec@1 30.469 (30.490)	Prec@5 62.500 (59.690)
Epoch: [56][4080/7045]	Time 0.143 (0.245)	Data 0.092 (0.183)	Loss 2.8636 (2.9878)	Prec@1 32.812 (30.489)	Prec@5 64.453 (59.693)
Epoch: [56][4090/7045]	Time 0.155 (0.245)	Data 0.103 (0.183)	Loss 3.1453 (2.9878)	Prec@1 24.609 (30.486)	Prec@5 55.469 (59.690)
Epoch: [56][4100/7045]	Time 0.102 (0.245)	Data 0.047 (0.183)	Loss 3.1153 (2.9878)	Prec@1 29.688 (30.485)	Prec@5 58.984 (59.689)
Epoch: [56][4110/7045]	Time 0.326 (0.245)	Data 0.274 (0.183)	Loss 3.0124 (2.9879)	Prec@1 31.641 (30.485)	Prec@5 58.203 (59.690)
Epoch: [56][4120/7045]	Time 0.102 (0.245)	Data 0.001 (0.183)	Loss 3.2287 (2.9881)	Prec@1 28.906 (30.482)	Prec@5 52.734 (59.684)
Epoch: [56][4130/7045]	Time 0.276 (0.245)	Data 0.224 (0.183)	Loss 3.0861 (2.9882)	Prec@1 30.469 (30.481)	Prec@5 58.984 (59.682)
Epoch: [56][4140/7045]	Time 0.135 (0.245)	Data 0.084 (0.183)	Loss 2.7756 (2.9881)	Prec@1 33.594 (30.484)	Prec@5 64.453 (59.686)
Epoch: [56][4150/7045]	Time 0.101 (0.245)	Data 0.046 (0.183)	Loss 2.8220 (2.9882)	Prec@1 32.031 (30.482)	Prec@5 62.891 (59.683)
Epoch: [56][4160/7045]	Time 0.105 (0.245)	Data 0.053 (0.183)	Loss 3.0642 (2.9884)	Prec@1 28.516 (30.478)	Prec@5 58.203 (59.681)
Epoch: [56][4170/7045]	Time 0.240 (0.245)	Data 0.189 (0.183)	Loss 2.9427 (2.9883)	Prec@1 33.203 (30.476)	Prec@5 61.328 (59.684)
Epoch: [56][4180/7045]	Time 0.151 (0.245)	Data 0.099 (0.183)	Loss 2.9866 (2.9882)	Prec@1 30.859 (30.478)	Prec@5 60.547 (59.688)
Epoch: [56][4190/7045]	Time 0.169 (0.245)	Data 0.119 (0.183)	Loss 2.9114 (2.9880)	Prec@1 28.125 (30.481)	Prec@5 60.547 (59.693)
Epoch: [56][4200/7045]	Time 0.102 (0.245)	Data 0.011 (0.183)	Loss 2.8449 (2.9881)	Prec@1 35.156 (30.484)	Prec@5 60.938 (59.690)
Epoch: [56][4210/7045]	Time 0.101 (0.245)	Data 0.001 (0.183)	Loss 2.9983 (2.9881)	Prec@1 27.344 (30.485)	Prec@5 61.719 (59.690)
Epoch: [56][4220/7045]	Time 0.110 (0.245)	Data 0.060 (0.183)	Loss 3.0003 (2.9880)	Prec@1 32.812 (30.486)	Prec@5 57.422 (59.690)
Epoch: [56][4230/7045]	Time 0.374 (0.245)	Data 0.323 (0.183)	Loss 2.9562 (2.9879)	Prec@1 28.906 (30.488)	Prec@5 61.719 (59.693)
Epoch: [56][4240/7045]	Time 0.102 (0.245)	Data 0.019 (0.183)	Loss 2.9788 (2.9878)	Prec@1 32.031 (30.491)	Prec@5 60.938 (59.695)
Epoch: [56][4250/7045]	Time 0.440 (0.245)	Data 0.387 (0.183)	Loss 2.7939 (2.9878)	Prec@1 34.375 (30.492)	Prec@5 62.500 (59.693)
Epoch: [56][4260/7045]	Time 0.102 (0.245)	Data 0.001 (0.183)	Loss 2.9085 (2.9875)	Prec@1 31.641 (30.497)	Prec@5 58.984 (59.696)
Epoch: [56][4270/7045]	Time 0.486 (0.245)	Data 0.434 (0.183)	Loss 2.8215 (2.9875)	Prec@1 29.297 (30.494)	Prec@5 62.891 (59.694)
Epoch: [56][4280/7045]	Time 0.101 (0.245)	Data 0.008 (0.183)	Loss 3.0573 (2.9876)	Prec@1 27.344 (30.491)	Prec@5 58.594 (59.693)
Epoch: [56][4290/7045]	Time 0.492 (0.245)	Data 0.435 (0.183)	Loss 2.8611 (2.9877)	Prec@1 30.859 (30.491)	Prec@5 61.328 (59.690)
Epoch: [56][4300/7045]	Time 0.175 (0.245)	Data 0.123 (0.183)	Loss 2.9664 (2.9877)	Prec@1 30.078 (30.491)	Prec@5 59.766 (59.690)
Epoch: [56][4310/7045]	Time 0.422 (0.245)	Data 0.371 (0.183)	Loss 2.7732 (2.9877)	Prec@1 33.984 (30.490)	Prec@5 64.062 (59.692)
Epoch: [56][4320/7045]	Time 0.300 (0.245)	Data 0.248 (0.183)	Loss 3.0224 (2.9877)	Prec@1 32.031 (30.490)	Prec@5 59.766 (59.693)
Epoch: [56][4330/7045]	Time 0.348 (0.245)	Data 0.297 (0.183)	Loss 2.8719 (2.9876)	Prec@1 33.203 (30.495)	Prec@5 59.375 (59.695)
Epoch: [56][4340/7045]	Time 0.173 (0.245)	Data 0.122 (0.183)	Loss 3.0191 (2.9875)	Prec@1 27.734 (30.494)	Prec@5 53.516 (59.693)
Epoch: [56][4350/7045]	Time 0.413 (0.245)	Data 0.363 (0.183)	Loss 2.7815 (2.9875)	Prec@1 35.938 (30.495)	Prec@5 65.625 (59.693)
Epoch: [56][4360/7045]	Time 0.103 (0.245)	Data 0.001 (0.183)	Loss 3.0551 (2.9877)	Prec@1 28.906 (30.492)	Prec@5 57.031 (59.690)
Epoch: [56][4370/7045]	Time 0.366 (0.245)	Data 0.308 (0.183)	Loss 3.0905 (2.9877)	Prec@1 25.391 (30.492)	Prec@5 54.688 (59.687)
Epoch: [56][4380/7045]	Time 0.114 (0.245)	Data 0.062 (0.183)	Loss 3.2115 (2.9878)	Prec@1 25.391 (30.493)	Prec@5 55.469 (59.687)
Epoch: [56][4390/7045]	Time 0.301 (0.245)	Data 0.249 (0.183)	Loss 3.0624 (2.9879)	Prec@1 28.125 (30.491)	Prec@5 57.031 (59.685)
Epoch: [56][4400/7045]	Time 0.541 (0.245)	Data 0.489 (0.183)	Loss 3.0813 (2.9880)	Prec@1 29.688 (30.488)	Prec@5 57.812 (59.683)
Epoch: [56][4410/7045]	Time 0.108 (0.245)	Data 0.005 (0.183)	Loss 2.9587 (2.9879)	Prec@1 29.297 (30.488)	Prec@5 58.203 (59.681)
Epoch: [56][4420/7045]	Time 0.455 (0.245)	Data 0.404 (0.183)	Loss 3.0244 (2.9880)	Prec@1 32.812 (30.487)	Prec@5 60.547 (59.680)
Epoch: [56][4430/7045]	Time 0.168 (0.245)	Data 0.117 (0.183)	Loss 3.0745 (2.9880)	Prec@1 30.078 (30.489)	Prec@5 59.766 (59.683)
Epoch: [56][4440/7045]	Time 0.101 (0.245)	Data 0.001 (0.183)	Loss 3.1578 (2.9880)	Prec@1 26.172 (30.487)	Prec@5 56.250 (59.681)
Epoch: [56][4450/7045]	Time 0.102 (0.245)	Data 0.001 (0.183)	Loss 3.1303 (2.9881)	Prec@1 32.031 (30.486)	Prec@5 57.812 (59.681)
Epoch: [56][4460/7045]	Time 0.109 (0.245)	Data 0.001 (0.183)	Loss 3.0302 (2.9880)	Prec@1 33.984 (30.487)	Prec@5 57.812 (59.681)
Epoch: [56][4470/7045]	Time 0.541 (0.245)	Data 0.491 (0.183)	Loss 3.0837 (2.9880)	Prec@1 28.516 (30.490)	Prec@5 59.766 (59.681)
Epoch: [56][4480/7045]	Time 0.104 (0.245)	Data 0.051 (0.183)	Loss 3.1472 (2.9880)	Prec@1 26.172 (30.495)	Prec@5 53.906 (59.682)
Epoch: [56][4490/7045]	Time 0.592 (0.245)	Data 0.542 (0.183)	Loss 2.9749 (2.9880)	Prec@1 26.953 (30.493)	Prec@5 58.203 (59.679)
Epoch: [56][4500/7045]	Time 0.101 (0.245)	Data 0.007 (0.183)	Loss 2.9684 (2.9880)	Prec@1 35.156 (30.493)	Prec@5 60.156 (59.679)
Epoch: [56][4510/7045]	Time 0.436 (0.245)	Data 0.384 (0.183)	Loss 2.9248 (2.9880)	Prec@1 34.375 (30.495)	Prec@5 64.062 (59.679)
Epoch: [56][4520/7045]	Time 0.149 (0.245)	Data 0.097 (0.183)	Loss 3.0316 (2.9881)	Prec@1 28.516 (30.495)	Prec@5 60.156 (59.677)
Epoch: [56][4530/7045]	Time 0.229 (0.245)	Data 0.177 (0.183)	Loss 2.9469 (2.9881)	Prec@1 37.109 (30.496)	Prec@5 58.594 (59.676)
Epoch: [56][4540/7045]	Time 0.245 (0.245)	Data 0.192 (0.183)	Loss 3.1166 (2.9878)	Prec@1 26.172 (30.499)	Prec@5 62.109 (59.684)
Epoch: [56][4550/7045]	Time 0.239 (0.245)	Data 0.187 (0.183)	Loss 2.8278 (2.9877)	Prec@1 34.766 (30.504)	Prec@5 64.844 (59.688)
Epoch: [56][4560/7045]	Time 0.220 (0.245)	Data 0.168 (0.183)	Loss 2.6483 (2.9877)	Prec@1 36.719 (30.504)	Prec@5 68.359 (59.687)
Epoch: [56][4570/7045]	Time 0.291 (0.245)	Data 0.234 (0.183)	Loss 3.0245 (2.9879)	Prec@1 31.641 (30.501)	Prec@5 56.250 (59.681)
Epoch: [56][4580/7045]	Time 0.250 (0.245)	Data 0.198 (0.183)	Loss 2.8790 (2.9879)	Prec@1 32.031 (30.502)	Prec@5 62.891 (59.682)
Epoch: [56][4590/7045]	Time 0.338 (0.245)	Data 0.278 (0.183)	Loss 2.8210 (2.9880)	Prec@1 30.469 (30.500)	Prec@5 63.281 (59.682)
Epoch: [56][4600/7045]	Time 0.342 (0.245)	Data 0.291 (0.183)	Loss 2.9420 (2.9880)	Prec@1 30.859 (30.501)	Prec@5 61.719 (59.682)
Epoch: [56][4610/7045]	Time 0.383 (0.245)	Data 0.332 (0.183)	Loss 2.9870 (2.9881)	Prec@1 29.688 (30.501)	Prec@5 61.328 (59.681)
Epoch: [56][4620/7045]	Time 0.259 (0.245)	Data 0.208 (0.183)	Loss 2.8089 (2.9880)	Prec@1 32.031 (30.504)	Prec@5 63.281 (59.682)
Epoch: [56][4630/7045]	Time 0.480 (0.245)	Data 0.428 (0.183)	Loss 3.0395 (2.9880)	Prec@1 28.125 (30.503)	Prec@5 58.984 (59.680)
Epoch: [56][4640/7045]	Time 0.260 (0.245)	Data 0.209 (0.183)	Loss 3.1610 (2.9881)	Prec@1 31.641 (30.504)	Prec@5 55.469 (59.677)
Epoch: [56][4650/7045]	Time 0.615 (0.245)	Data 0.562 (0.183)	Loss 3.0451 (2.9881)	Prec@1 29.297 (30.506)	Prec@5 57.812 (59.678)
Epoch: [56][4660/7045]	Time 0.140 (0.245)	Data 0.088 (0.183)	Loss 2.8690 (2.9882)	Prec@1 33.203 (30.505)	Prec@5 62.500 (59.676)
Epoch: [56][4670/7045]	Time 0.395 (0.245)	Data 0.343 (0.183)	Loss 3.1322 (2.9883)	Prec@1 28.906 (30.505)	Prec@5 58.594 (59.674)
Epoch: [56][4680/7045]	Time 0.152 (0.245)	Data 0.101 (0.183)	Loss 3.0824 (2.9882)	Prec@1 27.344 (30.502)	Prec@5 59.375 (59.674)
Epoch: [56][4690/7045]	Time 0.127 (0.245)	Data 0.076 (0.183)	Loss 3.0564 (2.9881)	Prec@1 26.953 (30.504)	Prec@5 60.156 (59.676)
Epoch: [56][4700/7045]	Time 0.102 (0.245)	Data 0.050 (0.183)	Loss 2.9327 (2.9883)	Prec@1 31.641 (30.503)	Prec@5 64.844 (59.674)
Epoch: [56][4710/7045]	Time 0.106 (0.245)	Data 0.055 (0.183)	Loss 2.9705 (2.9883)	Prec@1 30.859 (30.503)	Prec@5 59.375 (59.674)
Epoch: [56][4720/7045]	Time 0.169 (0.245)	Data 0.118 (0.183)	Loss 2.9597 (2.9880)	Prec@1 33.203 (30.510)	Prec@5 60.938 (59.679)
Epoch: [56][4730/7045]	Time 0.197 (0.245)	Data 0.146 (0.183)	Loss 2.8221 (2.9879)	Prec@1 33.594 (30.509)	Prec@5 63.281 (59.680)
Epoch: [56][4740/7045]	Time 0.102 (0.245)	Data 0.045 (0.183)	Loss 2.8459 (2.9880)	Prec@1 29.297 (30.510)	Prec@5 61.328 (59.680)
Epoch: [56][4750/7045]	Time 0.166 (0.245)	Data 0.114 (0.183)	Loss 2.9855 (2.9879)	Prec@1 30.469 (30.512)	Prec@5 59.375 (59.682)
Epoch: [56][4760/7045]	Time 0.158 (0.245)	Data 0.108 (0.183)	Loss 3.0184 (2.9878)	Prec@1 27.734 (30.514)	Prec@5 59.375 (59.684)
Epoch: [56][4770/7045]	Time 0.130 (0.245)	Data 0.078 (0.183)	Loss 3.1163 (2.9878)	Prec@1 27.734 (30.513)	Prec@5 53.906 (59.684)
Epoch: [56][4780/7045]	Time 0.163 (0.245)	Data 0.112 (0.183)	Loss 3.1070 (2.9879)	Prec@1 32.031 (30.514)	Prec@5 56.250 (59.683)
Epoch: [56][4790/7045]	Time 0.189 (0.245)	Data 0.137 (0.183)	Loss 3.0118 (2.9878)	Prec@1 30.859 (30.516)	Prec@5 58.984 (59.684)
Epoch: [56][4800/7045]	Time 0.105 (0.245)	Data 0.053 (0.183)	Loss 3.0486 (2.9878)	Prec@1 26.953 (30.516)	Prec@5 60.156 (59.684)
Epoch: [56][4810/7045]	Time 0.248 (0.245)	Data 0.196 (0.183)	Loss 2.9434 (2.9877)	Prec@1 33.594 (30.518)	Prec@5 58.594 (59.687)
Epoch: [56][4820/7045]	Time 0.102 (0.245)	Data 0.001 (0.183)	Loss 3.0575 (2.9878)	Prec@1 31.641 (30.518)	Prec@5 56.641 (59.681)
Epoch: [56][4830/7045]	Time 0.192 (0.245)	Data 0.141 (0.183)	Loss 3.0927 (2.9880)	Prec@1 26.953 (30.515)	Prec@5 55.859 (59.679)
Epoch: [56][4840/7045]	Time 0.101 (0.245)	Data 0.004 (0.183)	Loss 2.7713 (2.9879)	Prec@1 37.500 (30.517)	Prec@5 61.328 (59.679)
Epoch: [56][4850/7045]	Time 0.220 (0.245)	Data 0.170 (0.183)	Loss 2.9146 (2.9878)	Prec@1 33.594 (30.519)	Prec@5 62.109 (59.683)
Epoch: [56][4860/7045]	Time 0.101 (0.245)	Data 0.005 (0.183)	Loss 2.9456 (2.9876)	Prec@1 33.203 (30.523)	Prec@5 62.891 (59.686)
Epoch: [56][4870/7045]	Time 0.249 (0.245)	Data 0.198 (0.183)	Loss 2.7779 (2.9876)	Prec@1 35.547 (30.523)	Prec@5 62.891 (59.685)
Epoch: [56][4880/7045]	Time 0.130 (0.245)	Data 0.077 (0.183)	Loss 2.9250 (2.9877)	Prec@1 31.250 (30.522)	Prec@5 60.547 (59.684)
Epoch: [56][4890/7045]	Time 0.389 (0.245)	Data 0.331 (0.183)	Loss 3.0188 (2.9879)	Prec@1 31.641 (30.519)	Prec@5 58.594 (59.678)
Epoch: [56][4900/7045]	Time 0.272 (0.245)	Data 0.221 (0.183)	Loss 2.9534 (2.9879)	Prec@1 29.688 (30.517)	Prec@5 62.891 (59.679)
Epoch: [56][4910/7045]	Time 0.505 (0.245)	Data 0.451 (0.183)	Loss 3.0173 (2.9879)	Prec@1 33.203 (30.517)	Prec@5 58.203 (59.677)
Epoch: [56][4920/7045]	Time 0.328 (0.245)	Data 0.268 (0.183)	Loss 2.9965 (2.9877)	Prec@1 31.250 (30.520)	Prec@5 58.203 (59.681)
Epoch: [56][4930/7045]	Time 0.437 (0.245)	Data 0.387 (0.183)	Loss 3.0333 (2.9877)	Prec@1 29.688 (30.518)	Prec@5 57.031 (59.679)
Epoch: [56][4940/7045]	Time 0.273 (0.245)	Data 0.216 (0.183)	Loss 2.9332 (2.9877)	Prec@1 26.172 (30.517)	Prec@5 58.203 (59.678)
Epoch: [56][4950/7045]	Time 0.412 (0.245)	Data 0.352 (0.183)	Loss 2.9654 (2.9877)	Prec@1 33.594 (30.516)	Prec@5 64.844 (59.676)
Epoch: [56][4960/7045]	Time 0.370 (0.245)	Data 0.321 (0.183)	Loss 3.0566 (2.9878)	Prec@1 27.734 (30.513)	Prec@5 57.422 (59.674)
Epoch: [56][4970/7045]	Time 0.307 (0.245)	Data 0.255 (0.183)	Loss 3.0435 (2.9878)	Prec@1 30.469 (30.515)	Prec@5 55.859 (59.672)
Epoch: [56][4980/7045]	Time 0.313 (0.245)	Data 0.263 (0.183)	Loss 2.9332 (2.9878)	Prec@1 32.031 (30.515)	Prec@5 60.547 (59.671)
Epoch: [56][4990/7045]	Time 0.348 (0.245)	Data 0.295 (0.183)	Loss 2.8065 (2.9876)	Prec@1 33.984 (30.519)	Prec@5 62.109 (59.674)
Epoch: [56][5000/7045]	Time 0.287 (0.245)	Data 0.230 (0.183)	Loss 2.7867 (2.9876)	Prec@1 32.812 (30.519)	Prec@5 60.547 (59.672)
Epoch: [56][5010/7045]	Time 0.361 (0.245)	Data 0.310 (0.183)	Loss 3.0709 (2.9876)	Prec@1 26.172 (30.518)	Prec@5 51.562 (59.671)
Epoch: [56][5020/7045]	Time 0.247 (0.245)	Data 0.197 (0.183)	Loss 2.7515 (2.9873)	Prec@1 35.547 (30.519)	Prec@5 61.328 (59.677)
Epoch: [56][5030/7045]	Time 0.343 (0.245)	Data 0.292 (0.183)	Loss 2.8089 (2.9873)	Prec@1 35.938 (30.522)	Prec@5 63.672 (59.678)
Epoch: [56][5040/7045]	Time 0.212 (0.245)	Data 0.161 (0.183)	Loss 3.0323 (2.9872)	Prec@1 27.344 (30.523)	Prec@5 59.766 (59.680)
Epoch: [56][5050/7045]	Time 0.329 (0.245)	Data 0.278 (0.183)	Loss 2.8732 (2.9871)	Prec@1 32.031 (30.528)	Prec@5 62.109 (59.681)
Epoch: [56][5060/7045]	Time 0.235 (0.245)	Data 0.184 (0.183)	Loss 2.8286 (2.9870)	Prec@1 36.328 (30.529)	Prec@5 60.156 (59.682)
Epoch: [56][5070/7045]	Time 0.266 (0.245)	Data 0.215 (0.183)	Loss 2.9496 (2.9870)	Prec@1 29.297 (30.528)	Prec@5 59.375 (59.680)
Epoch: [56][5080/7045]	Time 0.234 (0.245)	Data 0.183 (0.183)	Loss 2.8150 (2.9870)	Prec@1 37.109 (30.527)	Prec@5 62.109 (59.680)
Epoch: [56][5090/7045]	Time 0.237 (0.245)	Data 0.186 (0.183)	Loss 3.1592 (2.9870)	Prec@1 24.609 (30.528)	Prec@5 55.469 (59.678)
Epoch: [56][5100/7045]	Time 0.224 (0.245)	Data 0.173 (0.183)	Loss 3.0675 (2.9871)	Prec@1 27.344 (30.526)	Prec@5 62.109 (59.678)
Epoch: [56][5110/7045]	Time 0.202 (0.245)	Data 0.152 (0.183)	Loss 2.9024 (2.9873)	Prec@1 34.375 (30.522)	Prec@5 59.766 (59.673)
Epoch: [56][5120/7045]	Time 0.303 (0.245)	Data 0.251 (0.183)	Loss 3.0684 (2.9874)	Prec@1 27.344 (30.520)	Prec@5 56.250 (59.669)
Epoch: [56][5130/7045]	Time 0.136 (0.245)	Data 0.085 (0.183)	Loss 2.8575 (2.9874)	Prec@1 33.203 (30.519)	Prec@5 61.328 (59.668)
Epoch: [56][5140/7045]	Time 0.448 (0.245)	Data 0.390 (0.183)	Loss 2.9866 (2.9874)	Prec@1 28.906 (30.519)	Prec@5 61.719 (59.668)
Epoch: [56][5150/7045]	Time 0.103 (0.245)	Data 0.001 (0.183)	Loss 2.8451 (2.9875)	Prec@1 36.719 (30.518)	Prec@5 60.547 (59.663)
Epoch: [56][5160/7045]	Time 0.445 (0.245)	Data 0.393 (0.183)	Loss 2.9429 (2.9876)	Prec@1 30.469 (30.515)	Prec@5 57.422 (59.660)
Epoch: [56][5170/7045]	Time 0.280 (0.245)	Data 0.229 (0.183)	Loss 2.9002 (2.9877)	Prec@1 31.250 (30.515)	Prec@5 64.844 (59.659)
Epoch: [56][5180/7045]	Time 0.245 (0.245)	Data 0.195 (0.183)	Loss 3.0784 (2.9879)	Prec@1 28.516 (30.513)	Prec@5 55.859 (59.655)
Epoch: [56][5190/7045]	Time 0.336 (0.245)	Data 0.285 (0.183)	Loss 3.1924 (2.9880)	Prec@1 30.078 (30.512)	Prec@5 57.422 (59.652)
Epoch: [56][5200/7045]	Time 0.101 (0.245)	Data 0.048 (0.183)	Loss 3.0131 (2.9880)	Prec@1 28.906 (30.512)	Prec@5 58.594 (59.651)
Epoch: [56][5210/7045]	Time 0.431 (0.245)	Data 0.380 (0.183)	Loss 2.9704 (2.9881)	Prec@1 32.812 (30.510)	Prec@5 58.203 (59.650)
Epoch: [56][5220/7045]	Time 0.102 (0.245)	Data 0.048 (0.183)	Loss 3.0752 (2.9880)	Prec@1 28.906 (30.512)	Prec@5 55.859 (59.650)
Epoch: [56][5230/7045]	Time 0.413 (0.245)	Data 0.361 (0.183)	Loss 3.2615 (2.9881)	Prec@1 24.609 (30.510)	Prec@5 56.250 (59.648)
Epoch: [56][5240/7045]	Time 0.153 (0.245)	Data 0.103 (0.183)	Loss 2.8091 (2.9882)	Prec@1 30.859 (30.507)	Prec@5 64.062 (59.650)
Epoch: [56][5250/7045]	Time 0.221 (0.245)	Data 0.169 (0.183)	Loss 3.1988 (2.9883)	Prec@1 29.688 (30.504)	Prec@5 55.859 (59.648)
Epoch: [56][5260/7045]	Time 0.119 (0.245)	Data 0.069 (0.183)	Loss 3.0053 (2.9884)	Prec@1 32.031 (30.503)	Prec@5 60.938 (59.646)
Epoch: [56][5270/7045]	Time 0.101 (0.245)	Data 0.002 (0.183)	Loss 3.1517 (2.9884)	Prec@1 27.734 (30.504)	Prec@5 56.250 (59.645)
Epoch: [56][5280/7045]	Time 0.105 (0.245)	Data 0.052 (0.183)	Loss 3.1190 (2.9883)	Prec@1 27.734 (30.504)	Prec@5 58.203 (59.645)
Epoch: [56][5290/7045]	Time 0.240 (0.245)	Data 0.188 (0.183)	Loss 3.0687 (2.9883)	Prec@1 28.906 (30.505)	Prec@5 56.641 (59.647)
Epoch: [56][5300/7045]	Time 0.102 (0.245)	Data 0.001 (0.183)	Loss 2.9690 (2.9883)	Prec@1 28.906 (30.508)	Prec@5 57.031 (59.646)
Epoch: [56][5310/7045]	Time 0.268 (0.245)	Data 0.216 (0.183)	Loss 3.2752 (2.9884)	Prec@1 26.172 (30.505)	Prec@5 55.469 (59.644)
Epoch: [56][5320/7045]	Time 0.101 (0.245)	Data 0.001 (0.183)	Loss 2.9524 (2.9883)	Prec@1 32.812 (30.507)	Prec@5 58.984 (59.646)
Epoch: [56][5330/7045]	Time 0.295 (0.245)	Data 0.244 (0.183)	Loss 2.8652 (2.9882)	Prec@1 37.500 (30.511)	Prec@5 62.891 (59.649)
Epoch: [56][5340/7045]	Time 0.194 (0.245)	Data 0.143 (0.183)	Loss 3.0218 (2.9882)	Prec@1 32.422 (30.513)	Prec@5 60.938 (59.648)
Epoch: [56][5350/7045]	Time 0.295 (0.245)	Data 0.243 (0.183)	Loss 2.8553 (2.9882)	Prec@1 31.641 (30.515)	Prec@5 64.844 (59.649)
Epoch: [56][5360/7045]	Time 0.285 (0.245)	Data 0.235 (0.183)	Loss 2.9839 (2.9882)	Prec@1 30.859 (30.515)	Prec@5 58.984 (59.651)
Epoch: [56][5370/7045]	Time 0.465 (0.245)	Data 0.413 (0.183)	Loss 3.0241 (2.9880)	Prec@1 27.344 (30.517)	Prec@5 56.641 (59.655)
Epoch: [56][5380/7045]	Time 0.101 (0.245)	Data 0.002 (0.183)	Loss 2.9726 (2.9881)	Prec@1 30.859 (30.517)	Prec@5 61.328 (59.656)
Epoch: [56][5390/7045]	Time 0.280 (0.245)	Data 0.229 (0.183)	Loss 3.0747 (2.9880)	Prec@1 28.516 (30.517)	Prec@5 57.812 (59.656)
Epoch: [56][5400/7045]	Time 0.214 (0.245)	Data 0.163 (0.183)	Loss 3.1676 (2.9880)	Prec@1 26.172 (30.516)	Prec@5 54.688 (59.656)
Epoch: [56][5410/7045]	Time 0.119 (0.245)	Data 0.067 (0.183)	Loss 2.7210 (2.9880)	Prec@1 33.984 (30.518)	Prec@5 64.062 (59.658)
Epoch: [56][5420/7045]	Time 0.252 (0.245)	Data 0.200 (0.183)	Loss 3.1687 (2.9881)	Prec@1 29.688 (30.519)	Prec@5 57.031 (59.658)
Epoch: [56][5430/7045]	Time 0.224 (0.245)	Data 0.173 (0.183)	Loss 3.1926 (2.9882)	Prec@1 26.562 (30.516)	Prec@5 56.641 (59.656)
Epoch: [56][5440/7045]	Time 0.113 (0.245)	Data 0.061 (0.183)	Loss 3.1185 (2.9882)	Prec@1 28.906 (30.517)	Prec@5 58.203 (59.655)
Epoch: [56][5450/7045]	Time 0.102 (0.245)	Data 0.003 (0.183)	Loss 3.0282 (2.9883)	Prec@1 30.078 (30.514)	Prec@5 60.547 (59.657)
Epoch: [56][5460/7045]	Time 0.416 (0.245)	Data 0.364 (0.183)	Loss 3.2450 (2.9883)	Prec@1 28.516 (30.516)	Prec@5 55.859 (59.658)
Epoch: [56][5470/7045]	Time 0.339 (0.245)	Data 0.289 (0.183)	Loss 3.1237 (2.9884)	Prec@1 33.203 (30.514)	Prec@5 60.547 (59.657)
Epoch: [56][5480/7045]	Time 0.152 (0.245)	Data 0.101 (0.183)	Loss 2.8854 (2.9884)	Prec@1 30.078 (30.514)	Prec@5 60.156 (59.658)
Epoch: [56][5490/7045]	Time 0.216 (0.245)	Data 0.163 (0.183)	Loss 3.0543 (2.9883)	Prec@1 33.984 (30.518)	Prec@5 63.281 (59.659)
Epoch: [56][5500/7045]	Time 0.100 (0.245)	Data 0.004 (0.183)	Loss 2.9457 (2.9883)	Prec@1 29.688 (30.519)	Prec@5 62.500 (59.659)
Epoch: [56][5510/7045]	Time 0.174 (0.245)	Data 0.123 (0.183)	Loss 2.9863 (2.9884)	Prec@1 28.906 (30.519)	Prec@5 58.594 (59.658)
Epoch: [56][5520/7045]	Time 0.098 (0.245)	Data 0.047 (0.183)	Loss 3.0175 (2.9884)	Prec@1 31.250 (30.519)	Prec@5 62.109 (59.660)
Epoch: [56][5530/7045]	Time 0.307 (0.245)	Data 0.256 (0.183)	Loss 2.7808 (2.9884)	Prec@1 34.766 (30.520)	Prec@5 66.016 (59.662)
Epoch: [56][5540/7045]	Time 0.102 (0.245)	Data 0.007 (0.183)	Loss 2.8016 (2.9884)	Prec@1 31.250 (30.520)	Prec@5 60.547 (59.660)
Epoch: [56][5550/7045]	Time 0.333 (0.245)	Data 0.282 (0.183)	Loss 2.8894 (2.9883)	Prec@1 31.250 (30.523)	Prec@5 60.547 (59.662)
Epoch: [56][5560/7045]	Time 0.122 (0.245)	Data 0.064 (0.183)	Loss 3.0263 (2.9883)	Prec@1 29.297 (30.523)	Prec@5 59.766 (59.663)
Epoch: [56][5570/7045]	Time 0.407 (0.245)	Data 0.355 (0.183)	Loss 3.0949 (2.9883)	Prec@1 28.906 (30.523)	Prec@5 53.125 (59.661)
Epoch: [56][5580/7045]	Time 0.177 (0.245)	Data 0.125 (0.183)	Loss 3.1702 (2.9884)	Prec@1 28.125 (30.520)	Prec@5 58.594 (59.661)
Epoch: [56][5590/7045]	Time 0.272 (0.245)	Data 0.222 (0.183)	Loss 3.1010 (2.9884)	Prec@1 29.688 (30.520)	Prec@5 55.078 (59.661)
Epoch: [56][5600/7045]	Time 0.167 (0.245)	Data 0.115 (0.183)	Loss 3.0736 (2.9882)	Prec@1 26.172 (30.524)	Prec@5 58.594 (59.664)
Epoch: [56][5610/7045]	Time 0.136 (0.245)	Data 0.085 (0.183)	Loss 2.9193 (2.9881)	Prec@1 31.641 (30.524)	Prec@5 60.156 (59.666)
Epoch: [56][5620/7045]	Time 0.101 (0.245)	Data 0.007 (0.183)	Loss 3.1505 (2.9882)	Prec@1 26.562 (30.522)	Prec@5 52.344 (59.664)
Epoch: [56][5630/7045]	Time 0.108 (0.245)	Data 0.057 (0.183)	Loss 3.0710 (2.9882)	Prec@1 27.344 (30.519)	Prec@5 55.078 (59.665)
Epoch: [56][5640/7045]	Time 0.102 (0.245)	Data 0.001 (0.183)	Loss 3.0979 (2.9883)	Prec@1 31.250 (30.518)	Prec@5 62.109 (59.661)
Epoch: [56][5650/7045]	Time 0.109 (0.245)	Data 0.016 (0.183)	Loss 3.1641 (2.9883)	Prec@1 28.125 (30.518)	Prec@5 55.859 (59.660)
Epoch: [56][5660/7045]	Time 0.102 (0.245)	Data 0.001 (0.183)	Loss 2.8637 (2.9883)	Prec@1 31.641 (30.519)	Prec@5 60.547 (59.660)
Epoch: [56][5670/7045]	Time 0.106 (0.245)	Data 0.008 (0.183)	Loss 2.9169 (2.9883)	Prec@1 27.344 (30.517)	Prec@5 59.375 (59.661)
Epoch: [56][5680/7045]	Time 0.458 (0.245)	Data 0.408 (0.183)	Loss 2.9257 (2.9884)	Prec@1 32.031 (30.518)	Prec@5 60.547 (59.658)
Epoch: [56][5690/7045]	Time 0.101 (0.245)	Data 0.001 (0.183)	Loss 3.0337 (2.9885)	Prec@1 25.781 (30.515)	Prec@5 56.250 (59.654)
Epoch: [56][5700/7045]	Time 0.516 (0.245)	Data 0.466 (0.183)	Loss 3.0726 (2.9885)	Prec@1 30.469 (30.516)	Prec@5 57.031 (59.656)
Epoch: [56][5710/7045]	Time 0.154 (0.245)	Data 0.103 (0.183)	Loss 2.8883 (2.9885)	Prec@1 32.031 (30.515)	Prec@5 64.453 (59.656)
Epoch: [56][5720/7045]	Time 0.141 (0.245)	Data 0.089 (0.183)	Loss 2.9258 (2.9884)	Prec@1 29.297 (30.516)	Prec@5 62.891 (59.656)
Epoch: [56][5730/7045]	Time 0.103 (0.245)	Data 0.007 (0.183)	Loss 2.8917 (2.9884)	Prec@1 28.906 (30.517)	Prec@5 59.375 (59.656)
Epoch: [56][5740/7045]	Time 0.354 (0.245)	Data 0.303 (0.183)	Loss 3.0365 (2.9884)	Prec@1 28.516 (30.515)	Prec@5 62.500 (59.657)
Epoch: [56][5750/7045]	Time 0.103 (0.245)	Data 0.001 (0.183)	Loss 2.9817 (2.9885)	Prec@1 32.031 (30.515)	Prec@5 57.422 (59.655)
Epoch: [56][5760/7045]	Time 0.200 (0.245)	Data 0.142 (0.183)	Loss 2.9425 (2.9884)	Prec@1 32.812 (30.517)	Prec@5 59.375 (59.656)
Epoch: [56][5770/7045]	Time 0.143 (0.245)	Data 0.092 (0.183)	Loss 3.1591 (2.9885)	Prec@1 28.906 (30.517)	Prec@5 55.469 (59.655)
Epoch: [56][5780/7045]	Time 0.215 (0.245)	Data 0.156 (0.183)	Loss 2.8228 (2.9884)	Prec@1 35.547 (30.519)	Prec@5 62.500 (59.657)
Epoch: [56][5790/7045]	Time 0.365 (0.245)	Data 0.314 (0.183)	Loss 3.0049 (2.9882)	Prec@1 28.516 (30.520)	Prec@5 60.156 (59.659)
Epoch: [56][5800/7045]	Time 0.172 (0.245)	Data 0.121 (0.183)	Loss 3.2448 (2.9882)	Prec@1 28.125 (30.520)	Prec@5 54.297 (59.659)
Epoch: [56][5810/7045]	Time 0.294 (0.245)	Data 0.243 (0.183)	Loss 2.8072 (2.9881)	Prec@1 33.203 (30.521)	Prec@5 63.672 (59.659)
Epoch: [56][5820/7045]	Time 0.161 (0.245)	Data 0.110 (0.183)	Loss 3.1781 (2.9883)	Prec@1 26.562 (30.517)	Prec@5 58.203 (59.655)
Epoch: [56][5830/7045]	Time 0.291 (0.245)	Data 0.240 (0.183)	Loss 2.9443 (2.9882)	Prec@1 28.516 (30.517)	Prec@5 62.500 (59.659)
Epoch: [56][5840/7045]	Time 0.132 (0.245)	Data 0.080 (0.183)	Loss 2.8423 (2.9881)	Prec@1 38.281 (30.521)	Prec@5 63.672 (59.662)
Epoch: [56][5850/7045]	Time 0.104 (0.245)	Data 0.052 (0.183)	Loss 3.0891 (2.9883)	Prec@1 32.031 (30.519)	Prec@5 56.641 (59.658)
Epoch: [56][5860/7045]	Time 0.105 (0.245)	Data 0.053 (0.183)	Loss 3.0133 (2.9882)	Prec@1 29.688 (30.521)	Prec@5 60.547 (59.660)
Epoch: [56][5870/7045]	Time 0.174 (0.245)	Data 0.123 (0.183)	Loss 2.9306 (2.9882)	Prec@1 29.688 (30.520)	Prec@5 62.109 (59.663)
Epoch: [56][5880/7045]	Time 0.161 (0.245)	Data 0.110 (0.183)	Loss 2.6327 (2.9882)	Prec@1 34.375 (30.520)	Prec@5 67.188 (59.662)
Epoch: [56][5890/7045]	Time 0.374 (0.245)	Data 0.323 (0.183)	Loss 2.9447 (2.9881)	Prec@1 32.031 (30.523)	Prec@5 63.281 (59.664)
Epoch: [56][5900/7045]	Time 0.184 (0.245)	Data 0.133 (0.183)	Loss 2.7931 (2.9881)	Prec@1 35.938 (30.524)	Prec@5 63.672 (59.665)
Epoch: [56][5910/7045]	Time 0.379 (0.245)	Data 0.327 (0.183)	Loss 3.0747 (2.9881)	Prec@1 32.422 (30.524)	Prec@5 57.031 (59.664)
Epoch: [56][5920/7045]	Time 0.256 (0.245)	Data 0.204 (0.183)	Loss 3.0229 (2.9881)	Prec@1 27.344 (30.524)	Prec@5 60.156 (59.665)
Epoch: [56][5930/7045]	Time 0.216 (0.245)	Data 0.165 (0.183)	Loss 3.1729 (2.9881)	Prec@1 27.734 (30.525)	Prec@5 56.641 (59.665)
Epoch: [56][5940/7045]	Time 0.177 (0.245)	Data 0.125 (0.183)	Loss 3.0935 (2.9881)	Prec@1 29.297 (30.524)	Prec@5 58.594 (59.665)
Epoch: [56][5950/7045]	Time 0.121 (0.245)	Data 0.069 (0.183)	Loss 2.8704 (2.9882)	Prec@1 32.422 (30.522)	Prec@5 60.938 (59.663)
Epoch: [56][5960/7045]	Time 0.464 (0.245)	Data 0.405 (0.183)	Loss 2.9961 (2.9883)	Prec@1 29.297 (30.522)	Prec@5 58.984 (59.661)
Epoch: [56][5970/7045]	Time 0.250 (0.245)	Data 0.200 (0.183)	Loss 2.8968 (2.9882)	Prec@1 30.078 (30.522)	Prec@5 57.031 (59.660)
Epoch: [56][5980/7045]	Time 0.288 (0.245)	Data 0.237 (0.183)	Loss 3.1824 (2.9883)	Prec@1 26.562 (30.520)	Prec@5 58.594 (59.659)
Epoch: [56][5990/7045]	Time 0.382 (0.245)	Data 0.331 (0.183)	Loss 2.7288 (2.9883)	Prec@1 31.641 (30.521)	Prec@5 64.453 (59.658)
Epoch: [56][6000/7045]	Time 0.102 (0.245)	Data 0.005 (0.183)	Loss 2.7801 (2.9884)	Prec@1 37.109 (30.520)	Prec@5 62.891 (59.656)
Epoch: [56][6010/7045]	Time 0.292 (0.245)	Data 0.241 (0.183)	Loss 3.0963 (2.9884)	Prec@1 29.297 (30.520)	Prec@5 57.031 (59.656)
Epoch: [56][6020/7045]	Time 0.336 (0.245)	Data 0.277 (0.183)	Loss 3.0364 (2.9884)	Prec@1 31.250 (30.521)	Prec@5 62.500 (59.656)
Epoch: [56][6030/7045]	Time 0.101 (0.245)	Data 0.008 (0.183)	Loss 3.0011 (2.9884)	Prec@1 28.516 (30.520)	Prec@5 57.812 (59.656)
Epoch: [56][6040/7045]	Time 0.537 (0.245)	Data 0.485 (0.183)	Loss 2.8725 (2.9883)	Prec@1 29.688 (30.520)	Prec@5 63.672 (59.659)
Epoch: [56][6050/7045]	Time 0.104 (0.245)	Data 0.051 (0.183)	Loss 3.1234 (2.9883)	Prec@1 26.953 (30.517)	Prec@5 59.375 (59.659)
Epoch: [56][6060/7045]	Time 0.514 (0.245)	Data 0.463 (0.183)	Loss 3.0113 (2.9884)	Prec@1 33.594 (30.517)	Prec@5 61.328 (59.659)
Epoch: [56][6070/7045]	Time 0.335 (0.245)	Data 0.283 (0.183)	Loss 3.1469 (2.9884)	Prec@1 25.000 (30.515)	Prec@5 60.156 (59.659)
Epoch: [56][6080/7045]	Time 0.365 (0.245)	Data 0.313 (0.183)	Loss 2.9243 (2.9883)	Prec@1 31.250 (30.517)	Prec@5 59.375 (59.662)
Epoch: [56][6090/7045]	Time 0.278 (0.245)	Data 0.226 (0.183)	Loss 2.8583 (2.9881)	Prec@1 32.422 (30.520)	Prec@5 61.328 (59.667)
Epoch: [56][6100/7045]	Time 0.102 (0.245)	Data 0.005 (0.183)	Loss 2.9158 (2.9882)	Prec@1 32.031 (30.520)	Prec@5 62.891 (59.667)
Epoch: [56][6110/7045]	Time 0.238 (0.245)	Data 0.188 (0.183)	Loss 3.0452 (2.9882)	Prec@1 26.953 (30.518)	Prec@5 57.812 (59.667)
Epoch: [56][6120/7045]	Time 0.159 (0.245)	Data 0.107 (0.183)	Loss 3.0515 (2.9882)	Prec@1 29.297 (30.516)	Prec@5 57.422 (59.665)
Epoch: [56][6130/7045]	Time 0.188 (0.245)	Data 0.134 (0.183)	Loss 2.8910 (2.9882)	Prec@1 30.469 (30.517)	Prec@5 59.766 (59.665)
Epoch: [56][6140/7045]	Time 0.104 (0.245)	Data 0.052 (0.183)	Loss 3.1007 (2.9883)	Prec@1 26.172 (30.516)	Prec@5 58.203 (59.664)
Epoch: [56][6150/7045]	Time 0.102 (0.245)	Data 0.049 (0.183)	Loss 2.9674 (2.9881)	Prec@1 29.297 (30.521)	Prec@5 60.547 (59.666)
Epoch: [56][6160/7045]	Time 0.181 (0.245)	Data 0.129 (0.183)	Loss 3.1821 (2.9881)	Prec@1 30.078 (30.520)	Prec@5 56.641 (59.667)
Epoch: [56][6170/7045]	Time 0.106 (0.245)	Data 0.054 (0.183)	Loss 3.0326 (2.9882)	Prec@1 32.031 (30.519)	Prec@5 58.594 (59.665)
Epoch: [56][6180/7045]	Time 0.359 (0.245)	Data 0.309 (0.183)	Loss 2.7477 (2.9881)	Prec@1 30.859 (30.520)	Prec@5 63.281 (59.665)
Epoch: [56][6190/7045]	Time 0.101 (0.245)	Data 0.002 (0.183)	Loss 2.8629 (2.9881)	Prec@1 34.766 (30.522)	Prec@5 63.281 (59.666)
Epoch: [56][6200/7045]	Time 0.288 (0.245)	Data 0.236 (0.183)	Loss 2.8679 (2.9881)	Prec@1 32.031 (30.522)	Prec@5 61.328 (59.666)
Epoch: [56][6210/7045]	Time 0.137 (0.245)	Data 0.085 (0.183)	Loss 3.0565 (2.9882)	Prec@1 31.641 (30.522)	Prec@5 60.938 (59.666)
Epoch: [56][6220/7045]	Time 0.101 (0.245)	Data 0.001 (0.183)	Loss 3.0978 (2.9881)	Prec@1 31.250 (30.522)	Prec@5 58.594 (59.666)
Epoch: [56][6230/7045]	Time 0.283 (0.245)	Data 0.231 (0.183)	Loss 2.8721 (2.9881)	Prec@1 30.469 (30.521)	Prec@5 64.062 (59.668)
Epoch: [56][6240/7045]	Time 0.305 (0.245)	Data 0.254 (0.183)	Loss 2.9649 (2.9881)	Prec@1 28.125 (30.520)	Prec@5 56.250 (59.667)
Epoch: [56][6250/7045]	Time 0.101 (0.245)	Data 0.047 (0.183)	Loss 2.8911 (2.9881)	Prec@1 30.469 (30.518)	Prec@5 60.938 (59.666)
Epoch: [56][6260/7045]	Time 0.593 (0.245)	Data 0.541 (0.183)	Loss 2.7868 (2.9882)	Prec@1 32.031 (30.517)	Prec@5 63.281 (59.666)
Epoch: [56][6270/7045]	Time 0.102 (0.245)	Data 0.005 (0.183)	Loss 3.0244 (2.9882)	Prec@1 32.031 (30.517)	Prec@5 57.031 (59.664)
Epoch: [56][6280/7045]	Time 0.350 (0.245)	Data 0.300 (0.183)	Loss 3.1106 (2.9884)	Prec@1 31.250 (30.514)	Prec@5 58.594 (59.660)
Epoch: [56][6290/7045]	Time 0.124 (0.245)	Data 0.071 (0.183)	Loss 2.8827 (2.9883)	Prec@1 30.859 (30.514)	Prec@5 59.375 (59.661)
Epoch: [56][6300/7045]	Time 0.107 (0.245)	Data 0.054 (0.183)	Loss 2.7591 (2.9881)	Prec@1 32.812 (30.513)	Prec@5 62.891 (59.664)
Epoch: [56][6310/7045]	Time 0.103 (0.245)	Data 0.005 (0.183)	Loss 3.0781 (2.9882)	Prec@1 30.078 (30.513)	Prec@5 59.766 (59.663)
Epoch: [56][6320/7045]	Time 0.103 (0.245)	Data 0.051 (0.183)	Loss 3.1100 (2.9882)	Prec@1 25.391 (30.512)	Prec@5 57.812 (59.664)
Epoch: [56][6330/7045]	Time 0.102 (0.245)	Data 0.007 (0.183)	Loss 2.9446 (2.9882)	Prec@1 29.297 (30.511)	Prec@5 60.156 (59.661)
Epoch: [56][6340/7045]	Time 0.214 (0.245)	Data 0.162 (0.183)	Loss 2.9532 (2.9883)	Prec@1 33.594 (30.511)	Prec@5 62.500 (59.660)
Epoch: [56][6350/7045]	Time 0.306 (0.245)	Data 0.255 (0.183)	Loss 2.9169 (2.9884)	Prec@1 30.078 (30.510)	Prec@5 60.547 (59.658)
Epoch: [56][6360/7045]	Time 0.336 (0.245)	Data 0.285 (0.183)	Loss 3.1233 (2.9884)	Prec@1 28.516 (30.510)	Prec@5 57.031 (59.660)
Epoch: [56][6370/7045]	Time 0.197 (0.245)	Data 0.140 (0.183)	Loss 2.9428 (2.9884)	Prec@1 27.734 (30.509)	Prec@5 60.938 (59.659)
Epoch: [56][6380/7045]	Time 0.604 (0.245)	Data 0.546 (0.183)	Loss 2.7676 (2.9883)	Prec@1 33.203 (30.511)	Prec@5 69.531 (59.662)
Epoch: [56][6390/7045]	Time 0.113 (0.245)	Data 0.001 (0.183)	Loss 3.0166 (2.9883)	Prec@1 24.609 (30.509)	Prec@5 58.594 (59.663)
Epoch: [56][6400/7045]	Time 0.648 (0.245)	Data 0.596 (0.183)	Loss 2.9762 (2.9884)	Prec@1 33.594 (30.510)	Prec@5 64.453 (59.663)
Epoch: [56][6410/7045]	Time 0.112 (0.245)	Data 0.060 (0.183)	Loss 3.0044 (2.9883)	Prec@1 26.953 (30.509)	Prec@5 58.594 (59.661)
Epoch: [56][6420/7045]	Time 0.644 (0.245)	Data 0.592 (0.183)	Loss 2.8964 (2.9884)	Prec@1 29.688 (30.508)	Prec@5 60.547 (59.659)
Epoch: [56][6430/7045]	Time 0.111 (0.245)	Data 0.058 (0.183)	Loss 2.6004 (2.9883)	Prec@1 39.453 (30.511)	Prec@5 67.188 (59.661)
Epoch: [56][6440/7045]	Time 0.511 (0.245)	Data 0.459 (0.183)	Loss 3.2932 (2.9884)	Prec@1 26.172 (30.511)	Prec@5 51.953 (59.660)
Epoch: [56][6450/7045]	Time 0.102 (0.245)	Data 0.009 (0.183)	Loss 2.9759 (2.9883)	Prec@1 28.125 (30.509)	Prec@5 58.203 (59.660)
Epoch: [56][6460/7045]	Time 0.282 (0.245)	Data 0.230 (0.183)	Loss 3.1197 (2.9884)	Prec@1 29.297 (30.509)	Prec@5 57.031 (59.660)
Epoch: [56][6470/7045]	Time 0.102 (0.245)	Data 0.002 (0.183)	Loss 2.9088 (2.9882)	Prec@1 31.641 (30.511)	Prec@5 58.984 (59.663)
Epoch: [56][6480/7045]	Time 0.101 (0.245)	Data 0.047 (0.183)	Loss 2.9317 (2.9882)	Prec@1 28.125 (30.511)	Prec@5 63.281 (59.665)
Epoch: [56][6490/7045]	Time 0.172 (0.245)	Data 0.120 (0.183)	Loss 3.2834 (2.9882)	Prec@1 24.219 (30.510)	Prec@5 51.562 (59.665)
Epoch: [56][6500/7045]	Time 0.285 (0.245)	Data 0.234 (0.183)	Loss 2.9680 (2.9883)	Prec@1 28.906 (30.510)	Prec@5 58.203 (59.666)
Epoch: [56][6510/7045]	Time 0.301 (0.245)	Data 0.250 (0.183)	Loss 3.0344 (2.9882)	Prec@1 30.078 (30.510)	Prec@5 60.547 (59.667)
Epoch: [56][6520/7045]	Time 0.470 (0.245)	Data 0.412 (0.183)	Loss 3.1296 (2.9882)	Prec@1 29.297 (30.511)	Prec@5 58.984 (59.666)
Epoch: [56][6530/7045]	Time 0.232 (0.245)	Data 0.181 (0.183)	Loss 3.0093 (2.9882)	Prec@1 28.516 (30.510)	Prec@5 60.938 (59.666)
Epoch: [56][6540/7045]	Time 0.627 (0.245)	Data 0.575 (0.183)	Loss 2.9312 (2.9882)	Prec@1 26.562 (30.511)	Prec@5 60.547 (59.665)
Epoch: [56][6550/7045]	Time 0.103 (0.245)	Data 0.050 (0.183)	Loss 3.1726 (2.9884)	Prec@1 26.953 (30.510)	Prec@5 56.641 (59.661)
Epoch: [56][6560/7045]	Time 0.627 (0.245)	Data 0.568 (0.183)	Loss 3.1667 (2.9884)	Prec@1 30.078 (30.509)	Prec@5 56.250 (59.661)
Epoch: [56][6570/7045]	Time 0.108 (0.245)	Data 0.056 (0.183)	Loss 3.1171 (2.9884)	Prec@1 29.688 (30.510)	Prec@5 56.250 (59.662)
Epoch: [56][6580/7045]	Time 0.110 (0.245)	Data 0.051 (0.183)	Loss 2.8183 (2.9883)	Prec@1 38.672 (30.513)	Prec@5 64.062 (59.664)
Epoch: [56][6590/7045]	Time 0.102 (0.245)	Data 0.046 (0.183)	Loss 2.9562 (2.9882)	Prec@1 28.516 (30.515)	Prec@5 62.500 (59.666)
Epoch: [56][6600/7045]	Time 0.101 (0.245)	Data 0.007 (0.183)	Loss 2.9730 (2.9882)	Prec@1 32.031 (30.515)	Prec@5 62.891 (59.665)
Epoch: [56][6610/7045]	Time 0.485 (0.245)	Data 0.433 (0.183)	Loss 3.0206 (2.9883)	Prec@1 30.078 (30.515)	Prec@5 57.422 (59.662)
Epoch: [56][6620/7045]	Time 0.100 (0.245)	Data 0.001 (0.183)	Loss 3.0818 (2.9883)	Prec@1 28.906 (30.513)	Prec@5 60.938 (59.662)
Epoch: [56][6630/7045]	Time 0.493 (0.245)	Data 0.440 (0.183)	Loss 3.0887 (2.9883)	Prec@1 30.469 (30.515)	Prec@5 55.078 (59.661)
Epoch: [56][6640/7045]	Time 0.192 (0.245)	Data 0.139 (0.183)	Loss 2.8490 (2.9883)	Prec@1 30.859 (30.516)	Prec@5 61.328 (59.660)
Epoch: [56][6650/7045]	Time 0.490 (0.245)	Data 0.439 (0.183)	Loss 2.9461 (2.9882)	Prec@1 30.078 (30.516)	Prec@5 62.891 (59.663)
Epoch: [56][6660/7045]	Time 0.108 (0.245)	Data 0.001 (0.183)	Loss 3.1603 (2.9883)	Prec@1 28.906 (30.516)	Prec@5 56.641 (59.661)
Epoch: [56][6670/7045]	Time 0.433 (0.245)	Data 0.382 (0.183)	Loss 2.8442 (2.9884)	Prec@1 33.984 (30.515)	Prec@5 62.500 (59.660)
Epoch: [56][6680/7045]	Time 0.302 (0.245)	Data 0.251 (0.183)	Loss 3.1882 (2.9884)	Prec@1 23.438 (30.513)	Prec@5 57.812 (59.659)
Epoch: [56][6690/7045]	Time 0.265 (0.245)	Data 0.215 (0.183)	Loss 3.1278 (2.9885)	Prec@1 26.172 (30.513)	Prec@5 55.078 (59.658)
Epoch: [56][6700/7045]	Time 0.342 (0.245)	Data 0.290 (0.183)	Loss 3.0916 (2.9886)	Prec@1 27.734 (30.509)	Prec@5 57.812 (59.656)
Epoch: [56][6710/7045]	Time 0.218 (0.245)	Data 0.167 (0.183)	Loss 2.8950 (2.9888)	Prec@1 33.203 (30.508)	Prec@5 58.594 (59.652)
Epoch: [56][6720/7045]	Time 0.210 (0.245)	Data 0.158 (0.183)	Loss 3.0295 (2.9889)	Prec@1 28.125 (30.505)	Prec@5 60.156 (59.650)
Epoch: [56][6730/7045]	Time 0.238 (0.245)	Data 0.180 (0.183)	Loss 3.0634 (2.9890)	Prec@1 30.859 (30.505)	Prec@5 58.984 (59.649)
Epoch: [56][6740/7045]	Time 0.235 (0.245)	Data 0.183 (0.183)	Loss 2.7798 (2.9889)	Prec@1 33.203 (30.508)	Prec@5 63.281 (59.651)
Epoch: [56][6750/7045]	Time 0.264 (0.245)	Data 0.204 (0.183)	Loss 2.8678 (2.9888)	Prec@1 35.156 (30.508)	Prec@5 64.844 (59.652)
Epoch: [56][6760/7045]	Time 0.235 (0.245)	Data 0.184 (0.183)	Loss 3.1576 (2.9888)	Prec@1 32.422 (30.507)	Prec@5 56.641 (59.651)
Epoch: [56][6770/7045]	Time 0.254 (0.245)	Data 0.198 (0.183)	Loss 2.7216 (2.9888)	Prec@1 34.375 (30.507)	Prec@5 66.406 (59.651)
Epoch: [56][6780/7045]	Time 0.282 (0.245)	Data 0.232 (0.183)	Loss 2.8804 (2.9888)	Prec@1 31.250 (30.508)	Prec@5 61.719 (59.650)
Epoch: [56][6790/7045]	Time 0.264 (0.245)	Data 0.211 (0.183)	Loss 3.0460 (2.9889)	Prec@1 27.734 (30.506)	Prec@5 58.984 (59.649)
Epoch: [56][6800/7045]	Time 0.339 (0.245)	Data 0.288 (0.183)	Loss 2.9075 (2.9889)	Prec@1 32.812 (30.509)	Prec@5 59.766 (59.650)
Epoch: [56][6810/7045]	Time 0.269 (0.245)	Data 0.218 (0.183)	Loss 2.9291 (2.9889)	Prec@1 35.547 (30.511)	Prec@5 62.500 (59.651)
Epoch: [56][6820/7045]	Time 0.464 (0.245)	Data 0.411 (0.183)	Loss 3.1712 (2.9889)	Prec@1 26.953 (30.510)	Prec@5 53.906 (59.650)
Epoch: [56][6830/7045]	Time 0.246 (0.245)	Data 0.194 (0.183)	Loss 3.0569 (2.9890)	Prec@1 28.125 (30.508)	Prec@5 59.766 (59.648)
Epoch: [56][6840/7045]	Time 0.505 (0.245)	Data 0.453 (0.183)	Loss 3.0192 (2.9891)	Prec@1 29.297 (30.506)	Prec@5 58.203 (59.645)
Epoch: [56][6850/7045]	Time 0.211 (0.245)	Data 0.160 (0.183)	Loss 2.9380 (2.9891)	Prec@1 32.031 (30.506)	Prec@5 59.375 (59.643)
Epoch: [56][6860/7045]	Time 0.516 (0.245)	Data 0.467 (0.183)	Loss 3.2137 (2.9891)	Prec@1 32.031 (30.506)	Prec@5 56.641 (59.643)
Epoch: [56][6870/7045]	Time 0.190 (0.245)	Data 0.138 (0.183)	Loss 2.8144 (2.9891)	Prec@1 33.984 (30.507)	Prec@5 61.328 (59.643)
Epoch: [56][6880/7045]	Time 0.602 (0.245)	Data 0.543 (0.183)	Loss 2.8723 (2.9891)	Prec@1 36.719 (30.508)	Prec@5 64.453 (59.643)
Epoch: [56][6890/7045]	Time 0.160 (0.245)	Data 0.104 (0.183)	Loss 2.9894 (2.9890)	Prec@1 29.297 (30.508)	Prec@5 61.328 (59.645)
Epoch: [56][6900/7045]	Time 0.634 (0.245)	Data 0.578 (0.183)	Loss 2.9396 (2.9890)	Prec@1 30.078 (30.510)	Prec@5 60.547 (59.645)
Epoch: [56][6910/7045]	Time 0.117 (0.245)	Data 0.059 (0.183)	Loss 2.9629 (2.9890)	Prec@1 32.812 (30.511)	Prec@5 60.547 (59.645)
Epoch: [56][6920/7045]	Time 0.624 (0.245)	Data 0.567 (0.183)	Loss 3.1723 (2.9891)	Prec@1 23.828 (30.509)	Prec@5 52.734 (59.642)
Epoch: [56][6930/7045]	Time 0.163 (0.245)	Data 0.109 (0.183)	Loss 3.0801 (2.9890)	Prec@1 27.344 (30.510)	Prec@5 59.766 (59.644)
Epoch: [56][6940/7045]	Time 0.343 (0.245)	Data 0.292 (0.183)	Loss 3.0728 (2.9891)	Prec@1 28.906 (30.510)	Prec@5 57.031 (59.642)
Epoch: [56][6950/7045]	Time 0.102 (0.245)	Data 0.005 (0.183)	Loss 2.8941 (2.9891)	Prec@1 33.203 (30.510)	Prec@5 61.719 (59.641)
Epoch: [56][6960/7045]	Time 0.102 (0.245)	Data 0.048 (0.183)	Loss 3.0956 (2.9892)	Prec@1 29.297 (30.506)	Prec@5 53.516 (59.640)
Epoch: [56][6970/7045]	Time 0.101 (0.245)	Data 0.003 (0.183)	Loss 3.1170 (2.9893)	Prec@1 27.734 (30.505)	Prec@5 56.641 (59.641)
Epoch: [56][6980/7045]	Time 0.211 (0.245)	Data 0.152 (0.183)	Loss 2.9422 (2.9892)	Prec@1 34.375 (30.506)	Prec@5 60.547 (59.640)
Epoch: [56][6990/7045]	Time 0.102 (0.245)	Data 0.001 (0.183)	Loss 2.8752 (2.9893)	Prec@1 35.547 (30.503)	Prec@5 61.719 (59.640)
Epoch: [56][7000/7045]	Time 0.252 (0.245)	Data 0.200 (0.183)	Loss 3.1950 (2.9893)	Prec@1 28.125 (30.502)	Prec@5 51.562 (59.638)
Epoch: [56][7010/7045]	Time 0.215 (0.245)	Data 0.164 (0.183)	Loss 2.9364 (2.9891)	Prec@1 33.203 (30.506)	Prec@5 59.766 (59.642)
Epoch: [56][7020/7045]	Time 0.214 (0.245)	Data 0.161 (0.183)	Loss 2.8512 (2.9891)	Prec@1 30.078 (30.506)	Prec@5 65.625 (59.643)
Epoch: [56][7030/7045]	Time 0.593 (0.245)	Data 0.535 (0.183)	Loss 3.0289 (2.9892)	Prec@1 26.172 (30.503)	Prec@5 60.938 (59.641)
Epoch: [56][7040/7045]	Time 0.179 (0.245)	Data 0.128 (0.183)	Loss 2.9804 (2.9893)	Prec@1 28.906 (30.504)	Prec@5 58.984 (59.640)
Test: [0/143]	Time 1.117 (1.117)	Loss 2.3278 (2.3278)	Prec@1 47.266 (47.266)	Prec@5 73.438 (73.438)
Test: [10/143]	Time 0.056 (0.242)	Loss 2.1240 (2.4321)	Prec@1 48.438 (39.702)	Prec@5 76.953 (71.768)
Test: [20/143]	Time 0.456 (0.221)	Loss 2.7586 (2.3939)	Prec@1 35.547 (39.825)	Prec@5 65.234 (72.861)
Test: [30/143]	Time 0.055 (0.200)	Loss 2.5804 (2.3923)	Prec@1 40.625 (40.814)	Prec@5 63.281 (72.014)
Test: [40/143]	Time 0.460 (0.199)	Loss 3.2017 (2.4254)	Prec@1 19.922 (40.006)	Prec@5 55.469 (71.218)
Test: [50/143]	Time 0.061 (0.191)	Loss 2.2187 (2.4660)	Prec@1 38.672 (38.756)	Prec@5 77.344 (70.527)
Test: [60/143]	Time 0.328 (0.189)	Loss 2.7775 (2.4579)	Prec@1 29.297 (39.159)	Prec@5 65.234 (70.626)
Test: [70/143]	Time 0.071 (0.186)	Loss 3.2485 (2.4484)	Prec@1 21.094 (39.343)	Prec@5 53.125 (70.791)
Test: [80/143]	Time 0.389 (0.186)	Loss 2.4793 (2.4440)	Prec@1 39.062 (39.516)	Prec@5 74.609 (70.954)
Test: [90/143]	Time 0.140 (0.184)	Loss 1.9554 (2.4304)	Prec@1 53.906 (39.732)	Prec@5 80.078 (71.300)
Test: [100/143]	Time 0.192 (0.182)	Loss 2.0519 (2.4255)	Prec@1 50.391 (39.824)	Prec@5 81.250 (71.542)
Test: [110/143]	Time 0.466 (0.184)	Loss 2.2138 (2.4220)	Prec@1 45.703 (40.020)	Prec@5 73.047 (71.639)
Test: [120/143]	Time 0.057 (0.181)	Loss 2.1438 (2.4179)	Prec@1 44.922 (40.041)	Prec@5 79.297 (71.723)
Test: [130/143]	Time 0.524 (0.182)	Loss 1.8629 (2.4194)	Prec@1 56.641 (40.130)	Prec@5 76.562 (71.604)
Test: [140/143]	Time 0.129 (0.180)	Loss 3.2201 (2.4395)	Prec@1 23.047 (39.730)	Prec@5 54.688 (71.193)
 * Prec@1 39.770 Prec@5 71.227
Epoch: [57][0/7045]	Time 2.436 (2.436)	Data 2.379 (2.379)	Loss 3.0027 (3.0027)	Prec@1 28.906 (28.906)	Prec@5 57.031 (57.031)
Epoch: [57][10/7045]	Time 0.200 (0.412)	Data 0.149 (0.336)	Loss 3.0140 (3.0121)	Prec@1 30.078 (29.830)	Prec@5 61.719 (59.411)
Epoch: [57][20/7045]	Time 0.598 (0.345)	Data 0.540 (0.277)	Loss 3.2711 (3.0285)	Prec@1 26.172 (29.911)	Prec@5 57.422 (59.208)
Epoch: [57][30/7045]	Time 0.242 (0.309)	Data 0.191 (0.244)	Loss 2.7612 (3.0055)	Prec@1 31.641 (30.217)	Prec@5 65.234 (59.400)
Epoch: [57][40/7045]	Time 0.117 (0.300)	Data 0.066 (0.235)	Loss 3.0594 (2.9985)	Prec@1 29.297 (30.478)	Prec@5 56.641 (59.346)
Epoch: [57][50/7045]	Time 0.101 (0.285)	Data 0.001 (0.216)	Loss 2.8438 (2.9944)	Prec@1 32.422 (30.561)	Prec@5 60.547 (59.429)
Epoch: [57][60/7045]	Time 0.101 (0.281)	Data 0.013 (0.211)	Loss 2.8926 (2.9932)	Prec@1 31.250 (30.462)	Prec@5 58.984 (59.317)
Epoch: [57][70/7045]	Time 0.191 (0.273)	Data 0.136 (0.204)	Loss 2.8591 (2.9935)	Prec@1 34.375 (30.403)	Prec@5 62.109 (59.408)
Epoch: [57][80/7045]	Time 0.101 (0.271)	Data 0.007 (0.202)	Loss 3.0675 (2.9984)	Prec@1 33.594 (30.213)	Prec@5 59.375 (59.361)
Epoch: [57][90/7045]	Time 0.612 (0.272)	Data 0.561 (0.203)	Loss 2.9347 (2.9987)	Prec@1 31.250 (30.276)	Prec@5 59.766 (59.311)
Epoch: [57][100/7045]	Time 0.111 (0.267)	Data 0.060 (0.197)	Loss 2.9673 (2.9990)	Prec@1 26.562 (30.341)	Prec@5 59.375 (59.348)
Epoch: [57][110/7045]	Time 0.572 (0.267)	Data 0.522 (0.196)	Loss 2.9802 (2.9992)	Prec@1 27.734 (30.258)	Prec@5 56.641 (59.364)
Epoch: [57][120/7045]	Time 0.474 (0.265)	Data 0.423 (0.195)	Loss 3.0066 (3.0015)	Prec@1 25.781 (30.185)	Prec@5 57.031 (59.323)
Epoch: [57][130/7045]	Time 0.130 (0.262)	Data 0.079 (0.191)	Loss 2.9275 (2.9996)	Prec@1 28.906 (30.260)	Prec@5 60.156 (59.303)
Epoch: [57][140/7045]	Time 0.753 (0.263)	Data 0.695 (0.193)	Loss 2.7818 (2.9956)	Prec@1 35.156 (30.322)	Prec@5 65.234 (59.367)
Epoch: [57][150/7045]	Time 0.101 (0.260)	Data 0.008 (0.188)	Loss 2.7864 (2.9937)	Prec@1 30.469 (30.368)	Prec@5 61.719 (59.437)
Epoch: [57][160/7045]	Time 0.756 (0.262)	Data 0.705 (0.190)	Loss 3.0637 (2.9943)	Prec@1 26.172 (30.406)	Prec@5 58.984 (59.424)
Epoch: [57][170/7045]	Time 0.175 (0.259)	Data 0.124 (0.186)	Loss 2.8921 (2.9938)	Prec@1 31.641 (30.450)	Prec@5 60.156 (59.409)
Epoch: [57][180/7045]	Time 0.440 (0.259)	Data 0.390 (0.186)	Loss 3.0647 (2.9904)	Prec@1 25.781 (30.492)	Prec@5 55.078 (59.507)
Epoch: [57][190/7045]	Time 0.364 (0.258)	Data 0.304 (0.186)	Loss 3.0041 (2.9855)	Prec@1 34.766 (30.638)	Prec@5 59.375 (59.643)
Epoch: [57][200/7045]	Time 0.275 (0.257)	Data 0.223 (0.185)	Loss 3.0968 (2.9846)	Prec@1 28.516 (30.675)	Prec@5 58.203 (59.686)
Epoch: [57][210/7045]	Time 0.517 (0.257)	Data 0.467 (0.185)	Loss 2.8106 (2.9815)	Prec@1 32.422 (30.730)	Prec@5 64.062 (59.710)
Epoch: [57][220/7045]	Time 0.113 (0.255)	Data 0.062 (0.184)	Loss 3.1941 (2.9820)	Prec@1 26.953 (30.714)	Prec@5 55.469 (59.732)
Epoch: [57][230/7045]	Time 0.663 (0.256)	Data 0.612 (0.185)	Loss 2.7816 (2.9825)	Prec@1 34.766 (30.748)	Prec@5 59.766 (59.668)
Epoch: [57][240/7045]	Time 0.101 (0.255)	Data 0.001 (0.183)	Loss 2.7990 (2.9783)	Prec@1 37.109 (30.816)	Prec@5 64.062 (59.735)
Epoch: [57][250/7045]	Time 0.666 (0.255)	Data 0.614 (0.183)	Loss 2.8384 (2.9768)	Prec@1 32.422 (30.822)	Prec@5 62.500 (59.756)
Epoch: [57][260/7045]	Time 0.101 (0.253)	Data 0.049 (0.182)	Loss 2.7214 (2.9731)	Prec@1 34.375 (30.933)	Prec@5 63.281 (59.808)
Epoch: [57][270/7045]	Time 0.451 (0.255)	Data 0.395 (0.183)	Loss 2.9813 (2.9714)	Prec@1 27.734 (30.953)	Prec@5 61.719 (59.877)
Epoch: [57][280/7045]	Time 0.135 (0.254)	Data 0.084 (0.182)	Loss 2.9898 (2.9730)	Prec@1 26.953 (30.939)	Prec@5 61.328 (59.859)
Epoch: [57][290/7045]	Time 0.114 (0.254)	Data 0.063 (0.183)	Loss 3.0935 (2.9737)	Prec@1 26.562 (30.867)	Prec@5 57.812 (59.819)
Epoch: [57][300/7045]	Time 0.102 (0.254)	Data 0.014 (0.183)	Loss 3.1428 (2.9732)	Prec@1 28.516 (30.894)	Prec@5 58.984 (59.825)
Epoch: [57][310/7045]	Time 0.109 (0.253)	Data 0.057 (0.183)	Loss 2.8305 (2.9731)	Prec@1 33.203 (30.898)	Prec@5 63.281 (59.870)
Epoch: [57][320/7045]	Time 0.353 (0.253)	Data 0.295 (0.184)	Loss 2.9143 (2.9728)	Prec@1 33.594 (30.912)	Prec@5 63.281 (59.889)
Epoch: [57][330/7045]	Time 0.102 (0.252)	Data 0.013 (0.183)	Loss 3.2805 (2.9713)	Prec@1 23.828 (30.931)	Prec@5 49.609 (59.933)
Epoch: [57][340/7045]	Time 0.468 (0.253)	Data 0.417 (0.184)	Loss 2.9034 (2.9705)	Prec@1 33.984 (30.921)	Prec@5 59.375 (59.936)
Epoch: [57][350/7045]	Time 0.107 (0.252)	Data 0.055 (0.183)	Loss 2.8491 (2.9706)	Prec@1 39.453 (30.913)	Prec@5 60.156 (59.914)
Epoch: [57][360/7045]	Time 0.539 (0.252)	Data 0.488 (0.183)	Loss 3.0208 (2.9715)	Prec@1 32.422 (30.883)	Prec@5 57.422 (59.904)
Epoch: [57][370/7045]	Time 0.110 (0.251)	Data 0.001 (0.182)	Loss 2.8942 (2.9714)	Prec@1 27.734 (30.877)	Prec@5 60.938 (59.933)
Epoch: [57][380/7045]	Time 0.519 (0.252)	Data 0.468 (0.182)	Loss 2.9409 (2.9713)	Prec@1 28.125 (30.871)	Prec@5 59.766 (59.953)
Epoch: [57][390/7045]	Time 0.219 (0.251)	Data 0.167 (0.182)	Loss 3.0118 (2.9707)	Prec@1 32.812 (30.871)	Prec@5 60.938 (59.977)
Epoch: [57][400/7045]	Time 0.101 (0.252)	Data 0.001 (0.183)	Loss 3.0257 (2.9707)	Prec@1 30.859 (30.884)	Prec@5 61.328 (59.995)
Epoch: [57][410/7045]	Time 0.148 (0.251)	Data 0.097 (0.183)	Loss 3.1780 (2.9709)	Prec@1 26.953 (30.882)	Prec@5 55.859 (59.985)
Epoch: [57][420/7045]	Time 0.102 (0.251)	Data 0.001 (0.182)	Loss 3.0875 (2.9692)	Prec@1 26.172 (30.892)	Prec@5 55.469 (60.014)
Epoch: [57][430/7045]	Time 0.102 (0.252)	Data 0.005 (0.183)	Loss 3.0908 (2.9695)	Prec@1 32.422 (30.881)	Prec@5 58.594 (60.002)
Epoch: [57][440/7045]	Time 0.249 (0.251)	Data 0.197 (0.182)	Loss 2.8233 (2.9689)	Prec@1 30.859 (30.868)	Prec@5 63.672 (60.028)
Epoch: [57][450/7045]	Time 0.118 (0.251)	Data 0.060 (0.183)	Loss 2.9834 (2.9683)	Prec@1 33.984 (30.887)	Prec@5 57.812 (60.027)
Epoch: [57][460/7045]	Time 0.108 (0.250)	Data 0.055 (0.182)	Loss 2.7917 (2.9670)	Prec@1 33.203 (30.909)	Prec@5 65.234 (60.062)
Epoch: [57][470/7045]	Time 0.102 (0.251)	Data 0.004 (0.182)	Loss 2.9715 (2.9670)	Prec@1 29.688 (30.917)	Prec@5 62.109 (60.058)
Epoch: [57][480/7045]	Time 0.270 (0.251)	Data 0.219 (0.183)	Loss 2.9635 (2.9654)	Prec@1 31.250 (30.958)	Prec@5 60.156 (60.090)
Epoch: [57][490/7045]	Time 0.102 (0.251)	Data 0.001 (0.182)	Loss 3.0161 (2.9665)	Prec@1 26.172 (30.941)	Prec@5 55.859 (60.050)
Epoch: [57][500/7045]	Time 0.198 (0.251)	Data 0.146 (0.183)	Loss 2.9901 (2.9654)	Prec@1 29.297 (30.969)	Prec@5 58.984 (60.059)
Epoch: [57][510/7045]	Time 0.560 (0.251)	Data 0.509 (0.183)	Loss 3.3121 (2.9660)	Prec@1 23.438 (30.980)	Prec@5 53.906 (60.039)
Epoch: [57][520/7045]	Time 0.108 (0.250)	Data 0.001 (0.182)	Loss 3.1526 (2.9673)	Prec@1 28.906 (30.961)	Prec@5 55.469 (60.003)
Epoch: [57][530/7045]	Time 0.654 (0.251)	Data 0.602 (0.182)	Loss 3.0712 (2.9677)	Prec@1 30.859 (30.948)	Prec@5 58.203 (60.003)
Epoch: [57][540/7045]	Time 0.229 (0.251)	Data 0.173 (0.182)	Loss 2.9558 (2.9670)	Prec@1 30.469 (30.956)	Prec@5 58.203 (60.023)
Epoch: [57][550/7045]	Time 0.455 (0.251)	Data 0.402 (0.182)	Loss 3.0748 (2.9654)	Prec@1 25.000 (30.954)	Prec@5 59.375 (60.051)
Epoch: [57][560/7045]	Time 0.444 (0.251)	Data 0.394 (0.182)	Loss 3.0023 (2.9646)	Prec@1 28.125 (30.960)	Prec@5 60.547 (60.072)
Epoch: [57][570/7045]	Time 0.308 (0.250)	Data 0.256 (0.182)	Loss 2.6679 (2.9646)	Prec@1 37.109 (30.953)	Prec@5 66.406 (60.062)
Epoch: [57][580/7045]	Time 0.337 (0.251)	Data 0.287 (0.182)	Loss 2.8376 (2.9642)	Prec@1 33.984 (30.939)	Prec@5 64.062 (60.085)
Epoch: [57][590/7045]	Time 0.102 (0.250)	Data 0.001 (0.182)	Loss 2.8314 (2.9640)	Prec@1 33.594 (30.928)	Prec@5 63.672 (60.078)
Epoch: [57][600/7045]	Time 0.119 (0.251)	Data 0.062 (0.182)	Loss 2.8806 (2.9637)	Prec@1 32.031 (30.935)	Prec@5 62.891 (60.102)
Epoch: [57][610/7045]	Time 0.103 (0.250)	Data 0.001 (0.182)	Loss 3.0752 (2.9634)	Prec@1 24.609 (30.941)	Prec@5 57.812 (60.104)
Epoch: [57][620/7045]	Time 0.107 (0.250)	Data 0.006 (0.182)	Loss 2.9860 (2.9635)	Prec@1 32.422 (30.937)	Prec@5 57.812 (60.100)
Epoch: [57][630/7045]	Time 0.102 (0.250)	Data 0.001 (0.181)	Loss 3.0403 (2.9633)	Prec@1 31.250 (30.934)	Prec@5 59.375 (60.101)
Epoch: [57][640/7045]	Time 0.107 (0.250)	Data 0.009 (0.181)	Loss 3.1377 (2.9639)	Prec@1 25.781 (30.907)	Prec@5 57.812 (60.087)
Epoch: [57][650/7045]	Time 0.104 (0.250)	Data 0.001 (0.181)	Loss 3.0256 (2.9652)	Prec@1 31.641 (30.882)	Prec@5 60.938 (60.078)
Epoch: [57][660/7045]	Time 0.153 (0.250)	Data 0.103 (0.181)	Loss 2.9308 (2.9652)	Prec@1 33.203 (30.896)	Prec@5 59.375 (60.075)
Epoch: [57][670/7045]	Time 0.103 (0.250)	Data 0.001 (0.180)	Loss 2.9206 (2.9648)	Prec@1 28.906 (30.899)	Prec@5 62.500 (60.080)
Epoch: [57][680/7045]	Time 0.102 (0.250)	Data 0.009 (0.180)	Loss 3.0742 (2.9652)	Prec@1 32.031 (30.904)	Prec@5 55.078 (60.073)
Epoch: [57][690/7045]	Time 0.469 (0.250)	Data 0.419 (0.180)	Loss 2.9650 (2.9649)	Prec@1 29.688 (30.905)	Prec@5 63.281 (60.079)
Epoch: [57][700/7045]	Time 0.102 (0.250)	Data 0.001 (0.180)	Loss 3.0814 (2.9656)	Prec@1 27.734 (30.897)	Prec@5 55.469 (60.071)
Epoch: [57][710/7045]	Time 0.537 (0.250)	Data 0.486 (0.180)	Loss 2.9156 (2.9649)	Prec@1 34.766 (30.919)	Prec@5 60.547 (60.076)
Epoch: [57][720/7045]	Time 0.394 (0.250)	Data 0.344 (0.180)	Loss 3.1397 (2.9651)	Prec@1 26.562 (30.903)	Prec@5 54.297 (60.072)
Epoch: [57][730/7045]	Time 0.251 (0.250)	Data 0.194 (0.180)	Loss 3.0168 (2.9659)	Prec@1 28.906 (30.881)	Prec@5 58.594 (60.059)
Epoch: [57][740/7045]	Time 0.440 (0.250)	Data 0.388 (0.181)	Loss 3.0035 (2.9661)	Prec@1 28.906 (30.869)	Prec@5 59.375 (60.067)
Epoch: [57][750/7045]	Time 0.110 (0.250)	Data 0.059 (0.180)	Loss 3.0332 (2.9663)	Prec@1 31.250 (30.857)	Prec@5 60.938 (60.071)
Epoch: [57][760/7045]	Time 0.407 (0.250)	Data 0.357 (0.181)	Loss 3.0178 (2.9663)	Prec@1 30.078 (30.854)	Prec@5 58.203 (60.078)
Epoch: [57][770/7045]	Time 0.102 (0.250)	Data 0.049 (0.181)	Loss 3.0933 (2.9674)	Prec@1 34.766 (30.834)	Prec@5 58.203 (60.055)
Epoch: [57][780/7045]	Time 0.244 (0.250)	Data 0.187 (0.181)	Loss 3.1534 (2.9679)	Prec@1 28.906 (30.820)	Prec@5 57.422 (60.037)
Epoch: [57][790/7045]	Time 0.194 (0.250)	Data 0.143 (0.181)	Loss 3.0382 (2.9681)	Prec@1 31.641 (30.816)	Prec@5 59.766 (60.032)
Epoch: [57][800/7045]	Time 0.102 (0.250)	Data 0.001 (0.181)	Loss 3.0430 (2.9688)	Prec@1 29.297 (30.794)	Prec@5 58.594 (60.021)
Epoch: [57][810/7045]	Time 0.209 (0.250)	Data 0.157 (0.181)	Loss 2.8436 (2.9688)	Prec@1 26.953 (30.777)	Prec@5 64.062 (60.026)
Epoch: [57][820/7045]	Time 0.319 (0.250)	Data 0.268 (0.181)	Loss 2.8348 (2.9683)	Prec@1 33.203 (30.787)	Prec@5 63.281 (60.047)
Epoch: [57][830/7045]	Time 0.129 (0.250)	Data 0.078 (0.181)	Loss 3.0859 (2.9678)	Prec@1 27.734 (30.802)	Prec@5 57.812 (60.060)
Epoch: [57][840/7045]	Time 0.616 (0.250)	Data 0.565 (0.182)	Loss 3.0224 (2.9676)	Prec@1 32.422 (30.807)	Prec@5 59.375 (60.067)
Epoch: [57][850/7045]	Time 0.110 (0.250)	Data 0.057 (0.181)	Loss 3.0201 (2.9677)	Prec@1 31.641 (30.805)	Prec@5 60.156 (60.058)
Epoch: [57][860/7045]	Time 0.543 (0.250)	Data 0.492 (0.182)	Loss 3.2112 (2.9679)	Prec@1 23.828 (30.776)	Prec@5 57.812 (60.052)
Epoch: [57][870/7045]	Time 0.210 (0.250)	Data 0.158 (0.181)	Loss 2.9338 (2.9678)	Prec@1 32.031 (30.781)	Prec@5 64.062 (60.060)
Epoch: [57][880/7045]	Time 0.101 (0.250)	Data 0.012 (0.182)	Loss 3.1234 (2.9677)	Prec@1 30.078 (30.796)	Prec@5 56.641 (60.063)
Epoch: [57][890/7045]	Time 0.215 (0.250)	Data 0.164 (0.182)	Loss 3.0430 (2.9673)	Prec@1 28.516 (30.800)	Prec@5 59.375 (60.082)
Epoch: [57][900/7045]	Time 0.271 (0.250)	Data 0.213 (0.182)	Loss 2.9878 (2.9668)	Prec@1 30.078 (30.812)	Prec@5 60.547 (60.093)
Epoch: [57][910/7045]	Time 0.226 (0.250)	Data 0.175 (0.182)	Loss 3.0652 (2.9667)	Prec@1 31.641 (30.816)	Prec@5 59.766 (60.091)
Epoch: [57][920/7045]	Time 0.555 (0.250)	Data 0.505 (0.182)	Loss 2.9051 (2.9670)	Prec@1 29.688 (30.812)	Prec@5 58.984 (60.086)
Epoch: [57][930/7045]	Time 0.103 (0.250)	Data 0.001 (0.182)	Loss 3.1426 (2.9675)	Prec@1 27.734 (30.799)	Prec@5 55.078 (60.066)
Epoch: [57][940/7045]	Time 0.614 (0.250)	Data 0.563 (0.182)	Loss 3.0441 (2.9676)	Prec@1 28.516 (30.800)	Prec@5 56.641 (60.062)
Epoch: [57][950/7045]	Time 0.108 (0.250)	Data 0.012 (0.182)	Loss 3.1510 (2.9675)	Prec@1 29.297 (30.807)	Prec@5 57.812 (60.066)
Epoch: [57][960/7045]	Time 0.355 (0.250)	Data 0.303 (0.182)	Loss 2.9208 (2.9675)	Prec@1 27.734 (30.809)	Prec@5 64.453 (60.071)
Epoch: [57][970/7045]	Time 0.366 (0.250)	Data 0.314 (0.182)	Loss 2.9343 (2.9680)	Prec@1 31.250 (30.805)	Prec@5 59.766 (60.049)
Epoch: [57][980/7045]	Time 0.161 (0.250)	Data 0.109 (0.182)	Loss 3.0198 (2.9685)	Prec@1 25.781 (30.793)	Prec@5 57.031 (60.037)
Epoch: [57][990/7045]	Time 0.330 (0.250)	Data 0.279 (0.183)	Loss 2.8689 (2.9684)	Prec@1 28.516 (30.798)	Prec@5 61.719 (60.025)
Epoch: [57][1000/7045]	Time 0.102 (0.250)	Data 0.001 (0.182)	Loss 3.0858 (2.9691)	Prec@1 30.469 (30.795)	Prec@5 55.859 (60.000)
Epoch: [57][1010/7045]	Time 0.331 (0.250)	Data 0.281 (0.183)	Loss 2.9642 (2.9693)	Prec@1 32.422 (30.788)	Prec@5 57.422 (59.987)
Epoch: [57][1020/7045]	Time 0.673 (0.250)	Data 0.622 (0.183)	Loss 3.1224 (2.9703)	Prec@1 29.688 (30.760)	Prec@5 55.469 (59.970)
Epoch: [57][1030/7045]	Time 0.134 (0.250)	Data 0.083 (0.183)	Loss 2.9900 (2.9698)	Prec@1 32.031 (30.765)	Prec@5 58.984 (59.973)
Epoch: [57][1040/7045]	Time 0.508 (0.250)	Data 0.458 (0.183)	Loss 2.8592 (2.9698)	Prec@1 32.812 (30.767)	Prec@5 65.625 (59.981)
Epoch: [57][1050/7045]	Time 0.183 (0.250)	Data 0.131 (0.183)	Loss 2.8283 (2.9695)	Prec@1 31.641 (30.773)	Prec@5 67.969 (59.990)
Epoch: [57][1060/7045]	Time 0.360 (0.250)	Data 0.309 (0.183)	Loss 2.8790 (2.9695)	Prec@1 32.812 (30.772)	Prec@5 62.109 (59.992)
Epoch: [57][1070/7045]	Time 0.116 (0.250)	Data 0.065 (0.183)	Loss 2.8586 (2.9697)	Prec@1 34.375 (30.777)	Prec@5 60.938 (59.990)
Epoch: [57][1080/7045]	Time 0.170 (0.250)	Data 0.119 (0.183)	Loss 2.8039 (2.9699)	Prec@1 34.375 (30.767)	Prec@5 61.328 (59.977)
Epoch: [57][1090/7045]	Time 0.112 (0.250)	Data 0.061 (0.183)	Loss 2.9888 (2.9704)	Prec@1 27.734 (30.769)	Prec@5 63.281 (59.968)
Epoch: [57][1100/7045]	Time 0.102 (0.250)	Data 0.005 (0.183)	Loss 2.9748 (2.9702)	Prec@1 28.125 (30.764)	Prec@5 60.547 (59.968)
Epoch: [57][1110/7045]	Time 0.359 (0.250)	Data 0.307 (0.183)	Loss 2.8220 (2.9706)	Prec@1 34.766 (30.750)	Prec@5 63.281 (59.955)
Epoch: [57][1120/7045]	Time 0.202 (0.250)	Data 0.151 (0.183)	Loss 3.1607 (2.9708)	Prec@1 26.953 (30.738)	Prec@5 53.516 (59.952)
Epoch: [57][1130/7045]	Time 0.335 (0.250)	Data 0.277 (0.183)	Loss 3.0122 (2.9708)	Prec@1 28.125 (30.730)	Prec@5 57.812 (59.948)
Epoch: [57][1140/7045]	Time 0.428 (0.250)	Data 0.370 (0.183)	Loss 3.0348 (2.9707)	Prec@1 28.516 (30.734)	Prec@5 58.594 (59.959)
Epoch: [57][1150/7045]	Time 0.155 (0.250)	Data 0.103 (0.183)	Loss 3.1397 (2.9713)	Prec@1 24.609 (30.730)	Prec@5 57.422 (59.951)
Epoch: [57][1160/7045]	Time 0.517 (0.250)	Data 0.466 (0.184)	Loss 3.1318 (2.9712)	Prec@1 26.562 (30.733)	Prec@5 57.812 (59.952)
Epoch: [57][1170/7045]	Time 0.128 (0.250)	Data 0.077 (0.183)	Loss 2.9897 (2.9716)	Prec@1 31.641 (30.726)	Prec@5 58.984 (59.945)
Epoch: [57][1180/7045]	Time 0.286 (0.250)	Data 0.234 (0.184)	Loss 3.1453 (2.9720)	Prec@1 29.688 (30.729)	Prec@5 57.812 (59.931)
Epoch: [57][1190/7045]	Time 0.103 (0.250)	Data 0.009 (0.184)	Loss 2.8723 (2.9719)	Prec@1 32.031 (30.728)	Prec@5 62.109 (59.925)
Epoch: [57][1200/7045]	Time 0.106 (0.250)	Data 0.054 (0.184)	Loss 2.7488 (2.9721)	Prec@1 34.766 (30.727)	Prec@5 63.672 (59.915)
Epoch: [57][1210/7045]	Time 0.167 (0.250)	Data 0.113 (0.184)	Loss 2.9407 (2.9715)	Prec@1 30.078 (30.734)	Prec@5 58.203 (59.926)
Epoch: [57][1220/7045]	Time 0.127 (0.249)	Data 0.075 (0.184)	Loss 3.1230 (2.9710)	Prec@1 28.125 (30.744)	Prec@5 57.031 (59.933)
Epoch: [57][1230/7045]	Time 0.414 (0.250)	Data 0.354 (0.184)	Loss 3.2438 (2.9709)	Prec@1 27.344 (30.750)	Prec@5 53.906 (59.931)
Epoch: [57][1240/7045]	Time 0.101 (0.249)	Data 0.007 (0.184)	Loss 2.9124 (2.9713)	Prec@1 30.469 (30.747)	Prec@5 58.984 (59.925)
Epoch: [57][1250/7045]	Time 0.340 (0.249)	Data 0.289 (0.184)	Loss 2.9558 (2.9712)	Prec@1 33.203 (30.745)	Prec@5 61.719 (59.935)
Epoch: [57][1260/7045]	Time 0.113 (0.249)	Data 0.059 (0.184)	Loss 3.1110 (2.9715)	Prec@1 26.953 (30.742)	Prec@5 60.156 (59.932)
Epoch: [57][1270/7045]	Time 0.262 (0.249)	Data 0.210 (0.184)	Loss 2.8276 (2.9714)	Prec@1 30.469 (30.744)	Prec@5 63.672 (59.931)
Epoch: [57][1280/7045]	Time 0.357 (0.249)	Data 0.306 (0.184)	Loss 2.8811 (2.9716)	Prec@1 30.469 (30.743)	Prec@5 60.938 (59.925)
Epoch: [57][1290/7045]	Time 0.103 (0.249)	Data 0.001 (0.184)	Loss 2.9531 (2.9718)	Prec@1 33.203 (30.736)	Prec@5 61.719 (59.922)
Epoch: [57][1300/7045]	Time 0.111 (0.249)	Data 0.060 (0.184)	Loss 2.8245 (2.9718)	Prec@1 28.906 (30.731)	Prec@5 63.672 (59.918)
Epoch: [57][1310/7045]	Time 0.641 (0.250)	Data 0.589 (0.184)	Loss 3.0626 (2.9721)	Prec@1 29.297 (30.732)	Prec@5 61.719 (59.908)
Epoch: [57][1320/7045]	Time 0.108 (0.249)	Data 0.057 (0.184)	Loss 2.9962 (2.9722)	Prec@1 33.984 (30.728)	Prec@5 59.375 (59.902)
Epoch: [57][1330/7045]	Time 0.495 (0.250)	Data 0.444 (0.184)	Loss 3.0767 (2.9719)	Prec@1 31.641 (30.735)	Prec@5 58.984 (59.913)
Epoch: [57][1340/7045]	Time 0.107 (0.249)	Data 0.005 (0.184)	Loss 3.0375 (2.9722)	Prec@1 27.734 (30.730)	Prec@5 58.203 (59.907)
Epoch: [57][1350/7045]	Time 0.531 (0.250)	Data 0.479 (0.184)	Loss 2.9387 (2.9717)	Prec@1 32.812 (30.731)	Prec@5 61.719 (59.915)
Epoch: [57][1360/7045]	Time 0.283 (0.249)	Data 0.233 (0.184)	Loss 2.7438 (2.9711)	Prec@1 39.062 (30.739)	Prec@5 66.016 (59.925)
Epoch: [57][1370/7045]	Time 0.107 (0.249)	Data 0.020 (0.184)	Loss 3.1794 (2.9716)	Prec@1 27.344 (30.738)	Prec@5 56.250 (59.917)
Epoch: [57][1380/7045]	Time 0.230 (0.249)	Data 0.179 (0.184)	Loss 3.1113 (2.9719)	Prec@1 30.469 (30.733)	Prec@5 57.422 (59.912)
Epoch: [57][1390/7045]	Time 0.106 (0.249)	Data 0.053 (0.184)	Loss 3.3449 (2.9727)	Prec@1 26.172 (30.721)	Prec@5 50.391 (59.899)
Epoch: [57][1400/7045]	Time 0.144 (0.249)	Data 0.088 (0.184)	Loss 2.8754 (2.9725)	Prec@1 30.859 (30.722)	Prec@5 60.938 (59.910)
Epoch: [57][1410/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 2.9148 (2.9722)	Prec@1 33.203 (30.734)	Prec@5 62.891 (59.911)
Epoch: [57][1420/7045]	Time 0.102 (0.249)	Data 0.024 (0.184)	Loss 3.2843 (2.9728)	Prec@1 22.656 (30.734)	Prec@5 54.688 (59.898)
Epoch: [57][1430/7045]	Time 0.254 (0.249)	Data 0.203 (0.184)	Loss 3.0234 (2.9726)	Prec@1 32.422 (30.737)	Prec@5 60.938 (59.913)
Epoch: [57][1440/7045]	Time 0.102 (0.249)	Data 0.009 (0.184)	Loss 2.7771 (2.9718)	Prec@1 32.031 (30.748)	Prec@5 67.188 (59.933)
Epoch: [57][1450/7045]	Time 0.442 (0.249)	Data 0.385 (0.184)	Loss 2.8906 (2.9717)	Prec@1 33.984 (30.751)	Prec@5 61.328 (59.930)
Epoch: [57][1460/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 3.1131 (2.9717)	Prec@1 28.125 (30.753)	Prec@5 55.859 (59.933)
Epoch: [57][1470/7045]	Time 0.258 (0.249)	Data 0.207 (0.184)	Loss 3.1120 (2.9716)	Prec@1 29.688 (30.760)	Prec@5 56.250 (59.937)
Epoch: [57][1480/7045]	Time 0.359 (0.249)	Data 0.309 (0.184)	Loss 2.8707 (2.9715)	Prec@1 32.812 (30.761)	Prec@5 66.016 (59.948)
Epoch: [57][1490/7045]	Time 0.102 (0.249)	Data 0.010 (0.184)	Loss 2.9013 (2.9713)	Prec@1 33.984 (30.766)	Prec@5 58.984 (59.955)
Epoch: [57][1500/7045]	Time 0.457 (0.249)	Data 0.406 (0.184)	Loss 3.0292 (2.9712)	Prec@1 31.250 (30.760)	Prec@5 58.594 (59.965)
Epoch: [57][1510/7045]	Time 0.124 (0.249)	Data 0.071 (0.184)	Loss 2.7836 (2.9710)	Prec@1 34.766 (30.767)	Prec@5 65.234 (59.975)
Epoch: [57][1520/7045]	Time 0.725 (0.249)	Data 0.674 (0.184)	Loss 2.8257 (2.9706)	Prec@1 35.156 (30.773)	Prec@5 63.672 (59.984)
Epoch: [57][1530/7045]	Time 0.100 (0.249)	Data 0.001 (0.184)	Loss 2.9471 (2.9707)	Prec@1 30.078 (30.774)	Prec@5 59.766 (59.988)
Epoch: [57][1540/7045]	Time 0.640 (0.249)	Data 0.589 (0.184)	Loss 2.9208 (2.9704)	Prec@1 30.859 (30.779)	Prec@5 59.766 (59.994)
Epoch: [57][1550/7045]	Time 0.115 (0.249)	Data 0.064 (0.183)	Loss 2.8564 (2.9707)	Prec@1 32.422 (30.770)	Prec@5 61.328 (59.987)
Epoch: [57][1560/7045]	Time 0.318 (0.249)	Data 0.266 (0.183)	Loss 3.0353 (2.9707)	Prec@1 29.688 (30.774)	Prec@5 58.984 (59.984)
Epoch: [57][1570/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 3.0149 (2.9707)	Prec@1 32.422 (30.776)	Prec@5 60.156 (59.993)
Epoch: [57][1580/7045]	Time 0.102 (0.249)	Data 0.003 (0.183)	Loss 3.1731 (2.9709)	Prec@1 31.641 (30.779)	Prec@5 57.031 (59.991)
Epoch: [57][1590/7045]	Time 0.357 (0.249)	Data 0.305 (0.183)	Loss 3.2563 (2.9713)	Prec@1 26.562 (30.772)	Prec@5 53.516 (59.980)
Epoch: [57][1600/7045]	Time 0.102 (0.249)	Data 0.022 (0.183)	Loss 2.7153 (2.9708)	Prec@1 36.719 (30.778)	Prec@5 65.625 (59.992)
Epoch: [57][1610/7045]	Time 0.553 (0.249)	Data 0.493 (0.183)	Loss 3.1456 (2.9710)	Prec@1 28.125 (30.770)	Prec@5 58.594 (59.996)
Epoch: [57][1620/7045]	Time 0.113 (0.249)	Data 0.055 (0.183)	Loss 3.2363 (2.9716)	Prec@1 22.266 (30.755)	Prec@5 55.078 (59.981)
Epoch: [57][1630/7045]	Time 0.451 (0.249)	Data 0.390 (0.183)	Loss 2.9543 (2.9716)	Prec@1 31.641 (30.758)	Prec@5 65.234 (59.981)
Epoch: [57][1640/7045]	Time 0.135 (0.249)	Data 0.084 (0.183)	Loss 2.9526 (2.9713)	Prec@1 30.859 (30.762)	Prec@5 57.422 (59.986)
Epoch: [57][1650/7045]	Time 0.355 (0.249)	Data 0.304 (0.183)	Loss 3.1351 (2.9712)	Prec@1 30.078 (30.768)	Prec@5 58.203 (59.993)
Epoch: [57][1660/7045]	Time 0.109 (0.249)	Data 0.057 (0.183)	Loss 2.9712 (2.9713)	Prec@1 32.031 (30.770)	Prec@5 60.156 (59.989)
Epoch: [57][1670/7045]	Time 0.222 (0.249)	Data 0.170 (0.183)	Loss 2.8355 (2.9708)	Prec@1 30.859 (30.782)	Prec@5 60.156 (59.994)
Epoch: [57][1680/7045]	Time 0.398 (0.249)	Data 0.347 (0.183)	Loss 3.0514 (2.9713)	Prec@1 27.344 (30.775)	Prec@5 58.203 (59.983)
Epoch: [57][1690/7045]	Time 0.102 (0.249)	Data 0.009 (0.183)	Loss 3.1176 (2.9714)	Prec@1 30.469 (30.777)	Prec@5 56.250 (59.986)
Epoch: [57][1700/7045]	Time 0.745 (0.249)	Data 0.694 (0.184)	Loss 3.1027 (2.9714)	Prec@1 28.125 (30.774)	Prec@5 58.203 (59.988)
Epoch: [57][1710/7045]	Time 0.101 (0.249)	Data 0.021 (0.183)	Loss 3.1116 (2.9711)	Prec@1 28.906 (30.781)	Prec@5 60.156 (59.995)
Epoch: [57][1720/7045]	Time 0.411 (0.249)	Data 0.361 (0.183)	Loss 3.1051 (2.9708)	Prec@1 26.562 (30.778)	Prec@5 55.859 (60.004)
Epoch: [57][1730/7045]	Time 0.340 (0.249)	Data 0.288 (0.184)	Loss 3.0138 (2.9711)	Prec@1 30.469 (30.779)	Prec@5 59.375 (60.003)
Epoch: [57][1740/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 3.0777 (2.9710)	Prec@1 27.734 (30.787)	Prec@5 55.469 (60.000)
Epoch: [57][1750/7045]	Time 0.473 (0.249)	Data 0.421 (0.184)	Loss 3.0558 (2.9713)	Prec@1 29.688 (30.778)	Prec@5 58.984 (59.996)
Epoch: [57][1760/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 2.9729 (2.9711)	Prec@1 30.859 (30.780)	Prec@5 64.062 (60.002)
Epoch: [57][1770/7045]	Time 0.561 (0.249)	Data 0.509 (0.184)	Loss 3.2281 (2.9713)	Prec@1 28.125 (30.778)	Prec@5 57.031 (59.997)
Epoch: [57][1780/7045]	Time 0.107 (0.249)	Data 0.015 (0.184)	Loss 3.1754 (2.9712)	Prec@1 30.469 (30.783)	Prec@5 57.812 (60.003)
Epoch: [57][1790/7045]	Time 0.450 (0.249)	Data 0.400 (0.184)	Loss 3.0140 (2.9717)	Prec@1 27.344 (30.773)	Prec@5 59.375 (59.993)
Epoch: [57][1800/7045]	Time 0.110 (0.249)	Data 0.009 (0.183)	Loss 3.2985 (2.9720)	Prec@1 28.125 (30.764)	Prec@5 53.516 (59.983)
Epoch: [57][1810/7045]	Time 0.475 (0.249)	Data 0.424 (0.184)	Loss 2.8290 (2.9722)	Prec@1 33.594 (30.762)	Prec@5 63.672 (59.977)
Epoch: [57][1820/7045]	Time 0.109 (0.249)	Data 0.057 (0.183)	Loss 2.9960 (2.9722)	Prec@1 30.469 (30.758)	Prec@5 60.938 (59.979)
Epoch: [57][1830/7045]	Time 0.502 (0.249)	Data 0.450 (0.184)	Loss 3.0545 (2.9724)	Prec@1 27.734 (30.758)	Prec@5 58.984 (59.977)
Epoch: [57][1840/7045]	Time 0.100 (0.249)	Data 0.001 (0.183)	Loss 2.9693 (2.9725)	Prec@1 31.641 (30.755)	Prec@5 57.031 (59.977)
Epoch: [57][1850/7045]	Time 0.187 (0.249)	Data 0.135 (0.183)	Loss 2.9467 (2.9724)	Prec@1 32.422 (30.753)	Prec@5 61.328 (59.976)
Epoch: [57][1860/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 3.2202 (2.9726)	Prec@1 25.000 (30.752)	Prec@5 54.297 (59.969)
Epoch: [57][1870/7045]	Time 0.103 (0.249)	Data 0.004 (0.183)	Loss 2.9355 (2.9727)	Prec@1 32.031 (30.758)	Prec@5 62.891 (59.969)
Epoch: [57][1880/7045]	Time 0.351 (0.249)	Data 0.300 (0.183)	Loss 3.1320 (2.9731)	Prec@1 31.641 (30.757)	Prec@5 53.906 (59.960)
Epoch: [57][1890/7045]	Time 0.170 (0.249)	Data 0.118 (0.183)	Loss 3.0127 (2.9730)	Prec@1 25.781 (30.752)	Prec@5 58.594 (59.959)
Epoch: [57][1900/7045]	Time 0.453 (0.249)	Data 0.401 (0.183)	Loss 3.1062 (2.9733)	Prec@1 23.828 (30.743)	Prec@5 59.375 (59.956)
Epoch: [57][1910/7045]	Time 0.109 (0.249)	Data 0.008 (0.183)	Loss 2.9608 (2.9730)	Prec@1 27.734 (30.742)	Prec@5 60.547 (59.958)
Epoch: [57][1920/7045]	Time 0.793 (0.249)	Data 0.741 (0.183)	Loss 2.9121 (2.9730)	Prec@1 33.203 (30.744)	Prec@5 60.156 (59.958)
Epoch: [57][1930/7045]	Time 0.105 (0.249)	Data 0.054 (0.183)	Loss 2.8608 (2.9730)	Prec@1 32.031 (30.744)	Prec@5 63.281 (59.955)
Epoch: [57][1940/7045]	Time 0.327 (0.249)	Data 0.276 (0.183)	Loss 2.9433 (2.9729)	Prec@1 30.859 (30.747)	Prec@5 59.375 (59.953)
Epoch: [57][1950/7045]	Time 0.785 (0.249)	Data 0.725 (0.183)	Loss 3.0225 (2.9730)	Prec@1 26.953 (30.747)	Prec@5 58.984 (59.951)
Epoch: [57][1960/7045]	Time 0.102 (0.249)	Data 0.003 (0.183)	Loss 2.8746 (2.9730)	Prec@1 35.938 (30.752)	Prec@5 62.500 (59.952)
Epoch: [57][1970/7045]	Time 0.338 (0.249)	Data 0.282 (0.183)	Loss 3.3229 (2.9729)	Prec@1 26.562 (30.762)	Prec@5 54.688 (59.955)
Epoch: [57][1980/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 2.7345 (2.9730)	Prec@1 29.688 (30.754)	Prec@5 67.188 (59.951)
Epoch: [57][1990/7045]	Time 0.111 (0.249)	Data 0.001 (0.183)	Loss 2.9057 (2.9728)	Prec@1 31.641 (30.754)	Prec@5 63.281 (59.963)
Epoch: [57][2000/7045]	Time 0.376 (0.249)	Data 0.325 (0.183)	Loss 2.9355 (2.9728)	Prec@1 30.078 (30.751)	Prec@5 60.156 (59.962)
Epoch: [57][2010/7045]	Time 0.102 (0.249)	Data 0.008 (0.183)	Loss 2.8802 (2.9726)	Prec@1 31.641 (30.754)	Prec@5 64.453 (59.968)
Epoch: [57][2020/7045]	Time 0.605 (0.249)	Data 0.554 (0.183)	Loss 3.1364 (2.9729)	Prec@1 31.250 (30.752)	Prec@5 58.984 (59.964)
Epoch: [57][2030/7045]	Time 0.101 (0.249)	Data 0.001 (0.183)	Loss 2.9873 (2.9729)	Prec@1 28.906 (30.752)	Prec@5 60.938 (59.960)
Epoch: [57][2040/7045]	Time 0.438 (0.249)	Data 0.387 (0.183)	Loss 3.1939 (2.9730)	Prec@1 28.906 (30.747)	Prec@5 55.469 (59.961)
Epoch: [57][2050/7045]	Time 0.102 (0.248)	Data 0.001 (0.182)	Loss 3.0774 (2.9731)	Prec@1 31.250 (30.752)	Prec@5 56.250 (59.959)
Epoch: [57][2060/7045]	Time 0.108 (0.249)	Data 0.001 (0.182)	Loss 3.1499 (2.9732)	Prec@1 29.297 (30.754)	Prec@5 57.422 (59.954)
Epoch: [57][2070/7045]	Time 0.102 (0.248)	Data 0.001 (0.182)	Loss 3.0524 (2.9732)	Prec@1 30.859 (30.755)	Prec@5 57.031 (59.958)
Epoch: [57][2080/7045]	Time 0.110 (0.248)	Data 0.058 (0.182)	Loss 3.0908 (2.9733)	Prec@1 28.516 (30.752)	Prec@5 56.250 (59.961)
Epoch: [57][2090/7045]	Time 0.314 (0.248)	Data 0.263 (0.182)	Loss 2.9205 (2.9733)	Prec@1 32.422 (30.758)	Prec@5 61.328 (59.964)
Epoch: [57][2100/7045]	Time 0.156 (0.248)	Data 0.105 (0.182)	Loss 2.8032 (2.9733)	Prec@1 30.859 (30.756)	Prec@5 64.062 (59.966)
Epoch: [57][2110/7045]	Time 0.617 (0.248)	Data 0.557 (0.182)	Loss 2.8783 (2.9737)	Prec@1 33.984 (30.753)	Prec@5 62.500 (59.955)
Epoch: [57][2120/7045]	Time 0.104 (0.248)	Data 0.052 (0.182)	Loss 2.9825 (2.9734)	Prec@1 30.469 (30.760)	Prec@5 58.984 (59.961)
Epoch: [57][2130/7045]	Time 0.611 (0.248)	Data 0.561 (0.182)	Loss 3.0151 (2.9734)	Prec@1 29.688 (30.762)	Prec@5 60.547 (59.962)
Epoch: [57][2140/7045]	Time 0.101 (0.248)	Data 0.001 (0.182)	Loss 3.0108 (2.9733)	Prec@1 28.906 (30.761)	Prec@5 59.766 (59.963)
Epoch: [57][2150/7045]	Time 0.560 (0.248)	Data 0.509 (0.182)	Loss 3.0652 (2.9737)	Prec@1 32.031 (30.756)	Prec@5 55.859 (59.957)
Epoch: [57][2160/7045]	Time 0.102 (0.248)	Data 0.004 (0.182)	Loss 3.0772 (2.9737)	Prec@1 28.516 (30.759)	Prec@5 58.203 (59.957)
Epoch: [57][2170/7045]	Time 0.312 (0.248)	Data 0.261 (0.182)	Loss 2.8981 (2.9736)	Prec@1 32.812 (30.758)	Prec@5 64.062 (59.959)
Epoch: [57][2180/7045]	Time 0.100 (0.248)	Data 0.004 (0.182)	Loss 2.9469 (2.9734)	Prec@1 32.031 (30.764)	Prec@5 62.109 (59.964)
Epoch: [57][2190/7045]	Time 0.108 (0.248)	Data 0.007 (0.182)	Loss 2.8898 (2.9735)	Prec@1 32.031 (30.762)	Prec@5 61.328 (59.963)
Epoch: [57][2200/7045]	Time 0.102 (0.248)	Data 0.001 (0.182)	Loss 2.8951 (2.9735)	Prec@1 33.203 (30.756)	Prec@5 58.203 (59.963)
Epoch: [57][2210/7045]	Time 0.129 (0.248)	Data 0.072 (0.182)	Loss 3.0767 (2.9736)	Prec@1 27.734 (30.754)	Prec@5 60.156 (59.963)
Epoch: [57][2220/7045]	Time 0.439 (0.248)	Data 0.389 (0.182)	Loss 2.9788 (2.9737)	Prec@1 33.594 (30.756)	Prec@5 57.812 (59.962)
Epoch: [57][2230/7045]	Time 0.101 (0.248)	Data 0.005 (0.182)	Loss 2.9581 (2.9738)	Prec@1 28.906 (30.754)	Prec@5 60.156 (59.955)
Epoch: [57][2240/7045]	Time 0.436 (0.248)	Data 0.385 (0.182)	Loss 2.9680 (2.9737)	Prec@1 30.078 (30.752)	Prec@5 60.547 (59.960)
Epoch: [57][2250/7045]	Time 0.102 (0.248)	Data 0.001 (0.182)	Loss 3.1059 (2.9738)	Prec@1 26.953 (30.749)	Prec@5 58.594 (59.964)
Epoch: [57][2260/7045]	Time 0.157 (0.248)	Data 0.106 (0.182)	Loss 3.1866 (2.9739)	Prec@1 23.828 (30.749)	Prec@5 56.641 (59.963)
Epoch: [57][2270/7045]	Time 0.240 (0.248)	Data 0.187 (0.182)	Loss 2.8347 (2.9739)	Prec@1 34.766 (30.747)	Prec@5 61.719 (59.964)
Epoch: [57][2280/7045]	Time 0.101 (0.248)	Data 0.049 (0.182)	Loss 3.0706 (2.9739)	Prec@1 30.469 (30.747)	Prec@5 56.641 (59.964)
Epoch: [57][2290/7045]	Time 0.167 (0.248)	Data 0.114 (0.182)	Loss 2.9417 (2.9739)	Prec@1 27.734 (30.748)	Prec@5 60.938 (59.967)
Epoch: [57][2300/7045]	Time 0.120 (0.248)	Data 0.067 (0.182)	Loss 2.8469 (2.9739)	Prec@1 32.812 (30.749)	Prec@5 58.594 (59.969)
Epoch: [57][2310/7045]	Time 0.102 (0.248)	Data 0.008 (0.182)	Loss 3.1503 (2.9740)	Prec@1 25.000 (30.747)	Prec@5 55.859 (59.968)
Epoch: [57][2320/7045]	Time 0.109 (0.248)	Data 0.001 (0.182)	Loss 3.0527 (2.9737)	Prec@1 30.078 (30.744)	Prec@5 58.203 (59.971)
Epoch: [57][2330/7045]	Time 0.102 (0.248)	Data 0.001 (0.182)	Loss 2.7524 (2.9736)	Prec@1 35.156 (30.745)	Prec@5 64.062 (59.975)
Epoch: [57][2340/7045]	Time 0.141 (0.248)	Data 0.090 (0.182)	Loss 2.7690 (2.9735)	Prec@1 26.562 (30.742)	Prec@5 65.234 (59.983)
Epoch: [57][2350/7045]	Time 0.318 (0.248)	Data 0.268 (0.182)	Loss 3.1314 (2.9737)	Prec@1 30.078 (30.742)	Prec@5 56.250 (59.978)
Epoch: [57][2360/7045]	Time 0.166 (0.248)	Data 0.114 (0.182)	Loss 3.0245 (2.9737)	Prec@1 28.125 (30.741)	Prec@5 62.109 (59.977)
Epoch: [57][2370/7045]	Time 0.264 (0.248)	Data 0.207 (0.182)	Loss 2.8970 (2.9739)	Prec@1 30.859 (30.738)	Prec@5 63.281 (59.976)
Epoch: [57][2380/7045]	Time 0.704 (0.249)	Data 0.653 (0.182)	Loss 2.9048 (2.9740)	Prec@1 33.984 (30.733)	Prec@5 59.375 (59.974)
Epoch: [57][2390/7045]	Time 0.128 (0.249)	Data 0.078 (0.182)	Loss 2.7516 (2.9738)	Prec@1 35.547 (30.742)	Prec@5 63.672 (59.979)
Epoch: [57][2400/7045]	Time 0.121 (0.248)	Data 0.069 (0.182)	Loss 2.9584 (2.9737)	Prec@1 28.125 (30.741)	Prec@5 59.766 (59.982)
Epoch: [57][2410/7045]	Time 0.357 (0.249)	Data 0.299 (0.183)	Loss 2.9090 (2.9738)	Prec@1 32.812 (30.737)	Prec@5 62.891 (59.978)
Epoch: [57][2420/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.8851 (2.9737)	Prec@1 31.250 (30.741)	Prec@5 63.672 (59.984)
Epoch: [57][2430/7045]	Time 0.525 (0.249)	Data 0.464 (0.183)	Loss 3.1092 (2.9739)	Prec@1 27.734 (30.737)	Prec@5 55.859 (59.983)
Epoch: [57][2440/7045]	Time 0.140 (0.248)	Data 0.089 (0.182)	Loss 3.0865 (2.9739)	Prec@1 30.859 (30.739)	Prec@5 59.766 (59.982)
Epoch: [57][2450/7045]	Time 0.156 (0.248)	Data 0.105 (0.182)	Loss 3.1353 (2.9740)	Prec@1 28.516 (30.740)	Prec@5 57.031 (59.979)
Epoch: [57][2460/7045]	Time 0.710 (0.249)	Data 0.652 (0.183)	Loss 2.9499 (2.9741)	Prec@1 29.297 (30.737)	Prec@5 60.938 (59.975)
Epoch: [57][2470/7045]	Time 0.101 (0.249)	Data 0.001 (0.182)	Loss 2.9047 (2.9741)	Prec@1 32.031 (30.740)	Prec@5 59.375 (59.977)
Epoch: [57][2480/7045]	Time 0.615 (0.249)	Data 0.563 (0.182)	Loss 3.1049 (2.9744)	Prec@1 25.781 (30.731)	Prec@5 57.031 (59.972)
Epoch: [57][2490/7045]	Time 0.131 (0.248)	Data 0.080 (0.182)	Loss 3.2244 (2.9745)	Prec@1 25.391 (30.730)	Prec@5 59.766 (59.969)
Epoch: [57][2500/7045]	Time 0.108 (0.249)	Data 0.057 (0.183)	Loss 2.9173 (2.9745)	Prec@1 28.906 (30.731)	Prec@5 62.109 (59.965)
Epoch: [57][2510/7045]	Time 0.206 (0.249)	Data 0.154 (0.182)	Loss 2.9524 (2.9746)	Prec@1 29.688 (30.735)	Prec@5 58.984 (59.967)
Epoch: [57][2520/7045]	Time 0.182 (0.249)	Data 0.131 (0.183)	Loss 2.9603 (2.9746)	Prec@1 31.641 (30.730)	Prec@5 57.812 (59.964)
Epoch: [57][2530/7045]	Time 0.311 (0.249)	Data 0.260 (0.183)	Loss 2.9185 (2.9746)	Prec@1 30.859 (30.731)	Prec@5 64.062 (59.965)
Epoch: [57][2540/7045]	Time 0.108 (0.249)	Data 0.001 (0.183)	Loss 2.9358 (2.9746)	Prec@1 35.156 (30.732)	Prec@5 60.547 (59.966)
Epoch: [57][2550/7045]	Time 0.434 (0.249)	Data 0.377 (0.183)	Loss 3.0762 (2.9749)	Prec@1 29.688 (30.726)	Prec@5 56.250 (59.959)
Epoch: [57][2560/7045]	Time 0.271 (0.249)	Data 0.219 (0.183)	Loss 3.1243 (2.9750)	Prec@1 28.906 (30.720)	Prec@5 59.766 (59.956)
Epoch: [57][2570/7045]	Time 0.327 (0.249)	Data 0.269 (0.183)	Loss 3.0147 (2.9751)	Prec@1 28.906 (30.718)	Prec@5 61.328 (59.952)
Epoch: [57][2580/7045]	Time 0.343 (0.249)	Data 0.291 (0.183)	Loss 3.1130 (2.9752)	Prec@1 29.297 (30.723)	Prec@5 55.469 (59.946)
Epoch: [57][2590/7045]	Time 0.195 (0.249)	Data 0.145 (0.183)	Loss 3.0611 (2.9752)	Prec@1 28.906 (30.722)	Prec@5 58.203 (59.946)
Epoch: [57][2600/7045]	Time 0.148 (0.248)	Data 0.097 (0.183)	Loss 3.0095 (2.9750)	Prec@1 28.516 (30.725)	Prec@5 57.422 (59.946)
Epoch: [57][2610/7045]	Time 0.377 (0.249)	Data 0.326 (0.183)	Loss 3.0355 (2.9752)	Prec@1 27.734 (30.724)	Prec@5 55.859 (59.944)
Epoch: [57][2620/7045]	Time 0.107 (0.248)	Data 0.055 (0.183)	Loss 2.9605 (2.9754)	Prec@1 28.516 (30.723)	Prec@5 58.984 (59.941)
Epoch: [57][2630/7045]	Time 0.362 (0.249)	Data 0.312 (0.183)	Loss 2.8295 (2.9757)	Prec@1 33.984 (30.716)	Prec@5 62.500 (59.939)
Epoch: [57][2640/7045]	Time 0.603 (0.249)	Data 0.552 (0.183)	Loss 2.8809 (2.9757)	Prec@1 31.250 (30.713)	Prec@5 63.281 (59.940)
Epoch: [57][2650/7045]	Time 0.104 (0.248)	Data 0.049 (0.183)	Loss 2.8477 (2.9754)	Prec@1 30.469 (30.717)	Prec@5 64.453 (59.945)
Epoch: [57][2660/7045]	Time 0.635 (0.249)	Data 0.578 (0.183)	Loss 3.0740 (2.9757)	Prec@1 27.734 (30.709)	Prec@5 61.719 (59.940)
Epoch: [57][2670/7045]	Time 0.113 (0.248)	Data 0.006 (0.182)	Loss 2.8446 (2.9761)	Prec@1 32.031 (30.707)	Prec@5 62.891 (59.929)
Epoch: [57][2680/7045]	Time 0.642 (0.248)	Data 0.585 (0.183)	Loss 2.8735 (2.9763)	Prec@1 33.203 (30.704)	Prec@5 59.375 (59.923)
Epoch: [57][2690/7045]	Time 0.101 (0.248)	Data 0.002 (0.182)	Loss 3.2133 (2.9764)	Prec@1 27.344 (30.701)	Prec@5 54.688 (59.921)
Epoch: [57][2700/7045]	Time 0.279 (0.248)	Data 0.222 (0.183)	Loss 3.0252 (2.9766)	Prec@1 31.641 (30.699)	Prec@5 61.328 (59.918)
Epoch: [57][2710/7045]	Time 0.102 (0.248)	Data 0.007 (0.182)	Loss 2.8986 (2.9767)	Prec@1 29.297 (30.700)	Prec@5 60.547 (59.916)
Epoch: [57][2720/7045]	Time 0.108 (0.248)	Data 0.001 (0.182)	Loss 3.1407 (2.9767)	Prec@1 26.172 (30.697)	Prec@5 61.328 (59.917)
Epoch: [57][2730/7045]	Time 0.114 (0.248)	Data 0.064 (0.182)	Loss 2.9202 (2.9766)	Prec@1 32.031 (30.700)	Prec@5 62.109 (59.922)
Epoch: [57][2740/7045]	Time 0.178 (0.248)	Data 0.127 (0.182)	Loss 2.9535 (2.9764)	Prec@1 30.469 (30.702)	Prec@5 61.719 (59.926)
Epoch: [57][2750/7045]	Time 0.429 (0.248)	Data 0.378 (0.182)	Loss 2.8277 (2.9764)	Prec@1 35.156 (30.705)	Prec@5 61.719 (59.925)
Epoch: [57][2760/7045]	Time 0.171 (0.248)	Data 0.119 (0.182)	Loss 2.8190 (2.9763)	Prec@1 31.250 (30.704)	Prec@5 62.891 (59.925)
Epoch: [57][2770/7045]	Time 0.600 (0.248)	Data 0.549 (0.182)	Loss 3.1136 (2.9762)	Prec@1 30.078 (30.705)	Prec@5 58.203 (59.928)
Epoch: [57][2780/7045]	Time 0.102 (0.248)	Data 0.005 (0.182)	Loss 3.0956 (2.9764)	Prec@1 26.172 (30.696)	Prec@5 61.719 (59.925)
Epoch: [57][2790/7045]	Time 0.380 (0.248)	Data 0.329 (0.182)	Loss 2.7686 (2.9764)	Prec@1 34.375 (30.699)	Prec@5 69.531 (59.930)
Epoch: [57][2800/7045]	Time 0.208 (0.248)	Data 0.157 (0.182)	Loss 2.9904 (2.9764)	Prec@1 31.641 (30.703)	Prec@5 58.594 (59.928)
Epoch: [57][2810/7045]	Time 0.182 (0.248)	Data 0.131 (0.182)	Loss 2.9184 (2.9763)	Prec@1 34.375 (30.699)	Prec@5 60.547 (59.932)
Epoch: [57][2820/7045]	Time 0.209 (0.248)	Data 0.158 (0.182)	Loss 2.7290 (2.9763)	Prec@1 33.594 (30.698)	Prec@5 66.016 (59.934)
Epoch: [57][2830/7045]	Time 0.207 (0.248)	Data 0.156 (0.182)	Loss 3.2064 (2.9761)	Prec@1 26.172 (30.699)	Prec@5 54.688 (59.934)
Epoch: [57][2840/7045]	Time 0.102 (0.248)	Data 0.006 (0.182)	Loss 3.0033 (2.9761)	Prec@1 26.953 (30.700)	Prec@5 58.984 (59.933)
Epoch: [57][2850/7045]	Time 0.114 (0.248)	Data 0.057 (0.183)	Loss 2.9366 (2.9763)	Prec@1 28.516 (30.695)	Prec@5 58.984 (59.930)
Epoch: [57][2860/7045]	Time 0.341 (0.248)	Data 0.290 (0.183)	Loss 3.1543 (2.9763)	Prec@1 24.219 (30.692)	Prec@5 56.641 (59.928)
Epoch: [57][2870/7045]	Time 0.101 (0.248)	Data 0.011 (0.183)	Loss 3.2470 (2.9764)	Prec@1 27.734 (30.692)	Prec@5 54.688 (59.926)
Epoch: [57][2880/7045]	Time 0.218 (0.249)	Data 0.168 (0.183)	Loss 2.9894 (2.9763)	Prec@1 30.469 (30.694)	Prec@5 59.766 (59.931)
Epoch: [57][2890/7045]	Time 0.113 (0.249)	Data 0.062 (0.183)	Loss 2.6077 (2.9762)	Prec@1 34.766 (30.693)	Prec@5 67.578 (59.936)
Epoch: [57][2900/7045]	Time 0.236 (0.249)	Data 0.184 (0.183)	Loss 2.9578 (2.9765)	Prec@1 30.078 (30.688)	Prec@5 58.984 (59.928)
Epoch: [57][2910/7045]	Time 0.172 (0.248)	Data 0.120 (0.183)	Loss 3.0013 (2.9765)	Prec@1 26.562 (30.688)	Prec@5 59.375 (59.926)
Epoch: [57][2920/7045]	Time 0.104 (0.249)	Data 0.051 (0.183)	Loss 2.9026 (2.9767)	Prec@1 32.812 (30.681)	Prec@5 64.844 (59.926)
Epoch: [57][2930/7045]	Time 0.102 (0.249)	Data 0.050 (0.183)	Loss 3.4026 (2.9768)	Prec@1 25.781 (30.677)	Prec@5 50.781 (59.924)
Epoch: [57][2940/7045]	Time 0.103 (0.249)	Data 0.005 (0.183)	Loss 2.9011 (2.9767)	Prec@1 27.734 (30.675)	Prec@5 64.453 (59.926)
Epoch: [57][2950/7045]	Time 0.244 (0.249)	Data 0.193 (0.183)	Loss 3.2003 (2.9766)	Prec@1 27.344 (30.679)	Prec@5 55.078 (59.929)
Epoch: [57][2960/7045]	Time 0.111 (0.249)	Data 0.057 (0.183)	Loss 2.9470 (2.9765)	Prec@1 31.641 (30.674)	Prec@5 59.375 (59.931)
Epoch: [57][2970/7045]	Time 0.103 (0.249)	Data 0.001 (0.183)	Loss 3.0296 (2.9764)	Prec@1 30.469 (30.676)	Prec@5 57.422 (59.934)
Epoch: [57][2980/7045]	Time 0.101 (0.249)	Data 0.001 (0.183)	Loss 3.0283 (2.9765)	Prec@1 29.688 (30.675)	Prec@5 53.516 (59.928)
Epoch: [57][2990/7045]	Time 0.107 (0.249)	Data 0.008 (0.183)	Loss 2.9794 (2.9764)	Prec@1 30.469 (30.680)	Prec@5 57.422 (59.930)
Epoch: [57][3000/7045]	Time 0.296 (0.249)	Data 0.245 (0.183)	Loss 2.7849 (2.9764)	Prec@1 28.516 (30.678)	Prec@5 63.281 (59.927)
Epoch: [57][3010/7045]	Time 0.110 (0.248)	Data 0.057 (0.183)	Loss 3.0443 (2.9766)	Prec@1 28.906 (30.676)	Prec@5 54.688 (59.923)
Epoch: [57][3020/7045]	Time 0.415 (0.249)	Data 0.364 (0.183)	Loss 2.6826 (2.9767)	Prec@1 33.203 (30.672)	Prec@5 63.672 (59.922)
Epoch: [57][3030/7045]	Time 0.101 (0.248)	Data 0.001 (0.183)	Loss 2.9168 (2.9767)	Prec@1 32.422 (30.673)	Prec@5 61.719 (59.923)
Epoch: [57][3040/7045]	Time 0.195 (0.248)	Data 0.144 (0.183)	Loss 3.0530 (2.9769)	Prec@1 30.078 (30.669)	Prec@5 58.594 (59.917)
Epoch: [57][3050/7045]	Time 0.459 (0.249)	Data 0.408 (0.183)	Loss 3.1350 (2.9772)	Prec@1 32.812 (30.669)	Prec@5 58.203 (59.910)
Epoch: [57][3060/7045]	Time 0.108 (0.248)	Data 0.005 (0.183)	Loss 3.1010 (2.9774)	Prec@1 27.344 (30.669)	Prec@5 57.031 (59.910)
Epoch: [57][3070/7045]	Time 0.634 (0.249)	Data 0.577 (0.183)	Loss 2.9050 (2.9775)	Prec@1 32.422 (30.665)	Prec@5 60.547 (59.906)
Epoch: [57][3080/7045]	Time 0.102 (0.248)	Data 0.006 (0.183)	Loss 2.7807 (2.9776)	Prec@1 35.547 (30.661)	Prec@5 64.453 (59.903)
Epoch: [57][3090/7045]	Time 0.367 (0.248)	Data 0.316 (0.183)	Loss 2.9908 (2.9778)	Prec@1 33.984 (30.659)	Prec@5 60.156 (59.899)
Epoch: [57][3100/7045]	Time 0.111 (0.248)	Data 0.059 (0.183)	Loss 3.1257 (2.9780)	Prec@1 28.125 (30.654)	Prec@5 57.812 (59.896)
Epoch: [57][3110/7045]	Time 0.100 (0.248)	Data 0.001 (0.183)	Loss 2.9194 (2.9779)	Prec@1 29.688 (30.656)	Prec@5 63.672 (59.900)
Epoch: [57][3120/7045]	Time 0.214 (0.248)	Data 0.163 (0.183)	Loss 2.7814 (2.9780)	Prec@1 34.375 (30.652)	Prec@5 65.234 (59.898)
Epoch: [57][3130/7045]	Time 0.110 (0.248)	Data 0.057 (0.183)	Loss 2.7793 (2.9779)	Prec@1 33.984 (30.656)	Prec@5 62.109 (59.898)
Epoch: [57][3140/7045]	Time 0.513 (0.248)	Data 0.462 (0.183)	Loss 2.9554 (2.9778)	Prec@1 33.203 (30.655)	Prec@5 57.812 (59.900)
Epoch: [57][3150/7045]	Time 0.217 (0.248)	Data 0.165 (0.183)	Loss 2.9465 (2.9774)	Prec@1 30.469 (30.662)	Prec@5 60.156 (59.910)
Epoch: [57][3160/7045]	Time 0.104 (0.248)	Data 0.006 (0.183)	Loss 3.0611 (2.9772)	Prec@1 29.297 (30.666)	Prec@5 55.859 (59.914)
Epoch: [57][3170/7045]	Time 0.211 (0.248)	Data 0.160 (0.183)	Loss 3.0749 (2.9772)	Prec@1 28.906 (30.665)	Prec@5 57.812 (59.914)
Epoch: [57][3180/7045]	Time 0.100 (0.248)	Data 0.005 (0.183)	Loss 2.9801 (2.9771)	Prec@1 31.250 (30.668)	Prec@5 61.719 (59.919)
Epoch: [57][3190/7045]	Time 0.201 (0.248)	Data 0.149 (0.183)	Loss 2.9560 (2.9770)	Prec@1 30.078 (30.667)	Prec@5 62.109 (59.921)
Epoch: [57][3200/7045]	Time 0.103 (0.248)	Data 0.001 (0.182)	Loss 3.1299 (2.9770)	Prec@1 28.516 (30.667)	Prec@5 55.078 (59.919)
Epoch: [57][3210/7045]	Time 0.201 (0.248)	Data 0.148 (0.183)	Loss 2.8724 (2.9770)	Prec@1 32.031 (30.667)	Prec@5 60.156 (59.918)
Epoch: [57][3220/7045]	Time 0.578 (0.248)	Data 0.527 (0.183)	Loss 3.0239 (2.9770)	Prec@1 29.688 (30.670)	Prec@5 61.719 (59.923)
Epoch: [57][3230/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 2.7953 (2.9771)	Prec@1 34.375 (30.670)	Prec@5 61.328 (59.920)
Epoch: [57][3240/7045]	Time 0.542 (0.248)	Data 0.490 (0.183)	Loss 2.8989 (2.9772)	Prec@1 31.250 (30.668)	Prec@5 59.766 (59.916)
Epoch: [57][3250/7045]	Time 0.101 (0.248)	Data 0.049 (0.182)	Loss 2.7847 (2.9771)	Prec@1 35.547 (30.669)	Prec@5 63.281 (59.918)
Epoch: [57][3260/7045]	Time 0.255 (0.248)	Data 0.204 (0.183)	Loss 3.3352 (2.9774)	Prec@1 23.047 (30.664)	Prec@5 52.734 (59.911)
Epoch: [57][3270/7045]	Time 0.107 (0.248)	Data 0.054 (0.182)	Loss 2.9561 (2.9775)	Prec@1 32.422 (30.662)	Prec@5 60.938 (59.912)
Epoch: [57][3280/7045]	Time 0.108 (0.248)	Data 0.002 (0.183)	Loss 2.8864 (2.9773)	Prec@1 32.422 (30.665)	Prec@5 59.375 (59.913)
Epoch: [57][3290/7045]	Time 0.102 (0.248)	Data 0.001 (0.182)	Loss 2.9472 (2.9773)	Prec@1 30.078 (30.666)	Prec@5 63.672 (59.916)
Epoch: [57][3300/7045]	Time 0.109 (0.248)	Data 0.001 (0.182)	Loss 2.9666 (2.9773)	Prec@1 29.688 (30.665)	Prec@5 57.031 (59.916)
Epoch: [57][3310/7045]	Time 0.390 (0.248)	Data 0.337 (0.182)	Loss 3.0691 (2.9772)	Prec@1 30.469 (30.670)	Prec@5 57.422 (59.916)
Epoch: [57][3320/7045]	Time 0.107 (0.248)	Data 0.002 (0.182)	Loss 3.0083 (2.9774)	Prec@1 31.641 (30.668)	Prec@5 57.812 (59.911)
Epoch: [57][3330/7045]	Time 0.558 (0.248)	Data 0.507 (0.182)	Loss 2.9574 (2.9772)	Prec@1 32.031 (30.672)	Prec@5 60.156 (59.915)
Epoch: [57][3340/7045]	Time 0.107 (0.248)	Data 0.055 (0.182)	Loss 3.0941 (2.9770)	Prec@1 28.516 (30.674)	Prec@5 53.906 (59.917)
Epoch: [57][3350/7045]	Time 0.444 (0.248)	Data 0.392 (0.182)	Loss 2.8092 (2.9770)	Prec@1 35.547 (30.678)	Prec@5 65.625 (59.919)
Epoch: [57][3360/7045]	Time 0.169 (0.248)	Data 0.118 (0.182)	Loss 3.2892 (2.9770)	Prec@1 26.172 (30.678)	Prec@5 53.516 (59.918)
Epoch: [57][3370/7045]	Time 0.110 (0.248)	Data 0.001 (0.182)	Loss 3.0439 (2.9770)	Prec@1 26.953 (30.679)	Prec@5 61.328 (59.920)
Epoch: [57][3380/7045]	Time 0.102 (0.248)	Data 0.021 (0.182)	Loss 2.8480 (2.9770)	Prec@1 32.812 (30.682)	Prec@5 60.938 (59.918)
Epoch: [57][3390/7045]	Time 0.106 (0.248)	Data 0.053 (0.182)	Loss 3.0851 (2.9771)	Prec@1 26.953 (30.682)	Prec@5 56.250 (59.912)
Epoch: [57][3400/7045]	Time 0.251 (0.248)	Data 0.200 (0.182)	Loss 2.9950 (2.9771)	Prec@1 33.594 (30.679)	Prec@5 60.547 (59.913)
Epoch: [57][3410/7045]	Time 0.102 (0.248)	Data 0.050 (0.182)	Loss 3.0311 (2.9772)	Prec@1 32.422 (30.682)	Prec@5 57.031 (59.911)
Epoch: [57][3420/7045]	Time 0.534 (0.248)	Data 0.484 (0.182)	Loss 2.8833 (2.9772)	Prec@1 29.688 (30.680)	Prec@5 60.156 (59.907)
Epoch: [57][3430/7045]	Time 0.183 (0.248)	Data 0.122 (0.182)	Loss 2.8793 (2.9771)	Prec@1 30.859 (30.682)	Prec@5 58.984 (59.909)
Epoch: [57][3440/7045]	Time 0.397 (0.248)	Data 0.344 (0.182)	Loss 3.1062 (2.9774)	Prec@1 26.562 (30.675)	Prec@5 55.859 (59.903)
Epoch: [57][3450/7045]	Time 0.229 (0.248)	Data 0.178 (0.182)	Loss 2.8811 (2.9774)	Prec@1 32.031 (30.675)	Prec@5 61.719 (59.906)
Epoch: [57][3460/7045]	Time 0.109 (0.248)	Data 0.001 (0.182)	Loss 2.8988 (2.9774)	Prec@1 32.422 (30.673)	Prec@5 59.375 (59.904)
Epoch: [57][3470/7045]	Time 0.171 (0.248)	Data 0.120 (0.182)	Loss 3.0415 (2.9772)	Prec@1 30.078 (30.680)	Prec@5 55.469 (59.906)
Epoch: [57][3480/7045]	Time 0.301 (0.248)	Data 0.250 (0.182)	Loss 2.7645 (2.9772)	Prec@1 37.891 (30.679)	Prec@5 65.625 (59.907)
Epoch: [57][3490/7045]	Time 0.193 (0.248)	Data 0.142 (0.182)	Loss 2.9390 (2.9772)	Prec@1 28.906 (30.681)	Prec@5 64.453 (59.906)
Epoch: [57][3500/7045]	Time 0.278 (0.248)	Data 0.227 (0.182)	Loss 2.8774 (2.9772)	Prec@1 30.078 (30.680)	Prec@5 60.156 (59.903)
Epoch: [57][3510/7045]	Time 0.379 (0.248)	Data 0.328 (0.182)	Loss 3.0070 (2.9772)	Prec@1 31.641 (30.678)	Prec@5 61.719 (59.905)
Epoch: [57][3520/7045]	Time 0.134 (0.248)	Data 0.082 (0.182)	Loss 2.9109 (2.9771)	Prec@1 28.516 (30.678)	Prec@5 62.109 (59.908)
Epoch: [57][3530/7045]	Time 0.109 (0.248)	Data 0.057 (0.182)	Loss 2.9010 (2.9772)	Prec@1 32.031 (30.673)	Prec@5 62.500 (59.905)
Epoch: [57][3540/7045]	Time 0.628 (0.248)	Data 0.578 (0.183)	Loss 3.0043 (2.9772)	Prec@1 32.031 (30.669)	Prec@5 61.719 (59.905)
Epoch: [57][3550/7045]	Time 0.193 (0.248)	Data 0.143 (0.183)	Loss 2.8511 (2.9771)	Prec@1 30.469 (30.670)	Prec@5 62.891 (59.908)
Epoch: [57][3560/7045]	Time 0.212 (0.248)	Data 0.159 (0.182)	Loss 3.0745 (2.9774)	Prec@1 31.250 (30.664)	Prec@5 57.812 (59.902)
Epoch: [57][3570/7045]	Time 0.438 (0.248)	Data 0.379 (0.183)	Loss 2.9958 (2.9774)	Prec@1 32.812 (30.665)	Prec@5 61.719 (59.901)
Epoch: [57][3580/7045]	Time 0.111 (0.248)	Data 0.001 (0.183)	Loss 2.9202 (2.9772)	Prec@1 29.688 (30.669)	Prec@5 58.203 (59.906)
Epoch: [57][3590/7045]	Time 0.406 (0.248)	Data 0.356 (0.183)	Loss 3.0566 (2.9772)	Prec@1 31.641 (30.668)	Prec@5 57.031 (59.904)
Epoch: [57][3600/7045]	Time 0.392 (0.248)	Data 0.341 (0.183)	Loss 2.9527 (2.9774)	Prec@1 30.078 (30.664)	Prec@5 62.891 (59.902)
Epoch: [57][3610/7045]	Time 0.250 (0.248)	Data 0.198 (0.183)	Loss 2.9583 (2.9773)	Prec@1 30.859 (30.665)	Prec@5 63.281 (59.902)
Epoch: [57][3620/7045]	Time 0.367 (0.248)	Data 0.316 (0.183)	Loss 3.0418 (2.9773)	Prec@1 27.734 (30.662)	Prec@5 58.203 (59.902)
Epoch: [57][3630/7045]	Time 0.166 (0.248)	Data 0.114 (0.183)	Loss 3.0846 (2.9773)	Prec@1 29.688 (30.661)	Prec@5 60.156 (59.902)
Epoch: [57][3640/7045]	Time 0.269 (0.248)	Data 0.207 (0.183)	Loss 3.1425 (2.9774)	Prec@1 30.859 (30.661)	Prec@5 54.688 (59.896)
Epoch: [57][3650/7045]	Time 0.311 (0.248)	Data 0.260 (0.183)	Loss 3.1029 (2.9774)	Prec@1 29.297 (30.665)	Prec@5 57.031 (59.896)
Epoch: [57][3660/7045]	Time 0.103 (0.248)	Data 0.007 (0.183)	Loss 3.0536 (2.9775)	Prec@1 27.734 (30.663)	Prec@5 59.375 (59.896)
Epoch: [57][3670/7045]	Time 0.265 (0.248)	Data 0.203 (0.183)	Loss 2.8657 (2.9774)	Prec@1 35.156 (30.666)	Prec@5 62.500 (59.899)
Epoch: [57][3680/7045]	Time 0.103 (0.248)	Data 0.001 (0.183)	Loss 3.0306 (2.9775)	Prec@1 29.297 (30.664)	Prec@5 58.203 (59.899)
Epoch: [57][3690/7045]	Time 0.332 (0.248)	Data 0.282 (0.183)	Loss 3.0882 (2.9777)	Prec@1 33.594 (30.662)	Prec@5 57.422 (59.893)
Epoch: [57][3700/7045]	Time 0.158 (0.248)	Data 0.102 (0.183)	Loss 3.0327 (2.9778)	Prec@1 28.516 (30.660)	Prec@5 58.594 (59.893)
Epoch: [57][3710/7045]	Time 0.109 (0.248)	Data 0.057 (0.183)	Loss 3.0972 (2.9778)	Prec@1 26.172 (30.659)	Prec@5 60.938 (59.893)
Epoch: [57][3720/7045]	Time 0.106 (0.248)	Data 0.053 (0.183)	Loss 3.0154 (2.9778)	Prec@1 26.172 (30.657)	Prec@5 61.719 (59.893)
Epoch: [57][3730/7045]	Time 0.470 (0.248)	Data 0.410 (0.183)	Loss 3.0626 (2.9779)	Prec@1 28.906 (30.656)	Prec@5 60.156 (59.890)
Epoch: [57][3740/7045]	Time 0.301 (0.248)	Data 0.251 (0.183)	Loss 3.1418 (2.9780)	Prec@1 27.344 (30.653)	Prec@5 56.250 (59.889)
Epoch: [57][3750/7045]	Time 0.234 (0.248)	Data 0.178 (0.183)	Loss 2.8528 (2.9780)	Prec@1 33.984 (30.653)	Prec@5 63.672 (59.891)
Epoch: [57][3760/7045]	Time 0.305 (0.248)	Data 0.254 (0.183)	Loss 3.0648 (2.9780)	Prec@1 30.859 (30.652)	Prec@5 60.156 (59.892)
Epoch: [57][3770/7045]	Time 0.248 (0.248)	Data 0.197 (0.183)	Loss 2.9744 (2.9779)	Prec@1 28.516 (30.652)	Prec@5 62.109 (59.894)
Epoch: [57][3780/7045]	Time 0.148 (0.248)	Data 0.097 (0.183)	Loss 3.1312 (2.9778)	Prec@1 25.781 (30.652)	Prec@5 54.688 (59.894)
Epoch: [57][3790/7045]	Time 0.223 (0.248)	Data 0.172 (0.183)	Loss 3.1574 (2.9777)	Prec@1 27.734 (30.655)	Prec@5 55.469 (59.893)
Epoch: [57][3800/7045]	Time 0.279 (0.248)	Data 0.227 (0.183)	Loss 2.8336 (2.9777)	Prec@1 38.281 (30.659)	Prec@5 62.891 (59.891)
Epoch: [57][3810/7045]	Time 0.108 (0.248)	Data 0.001 (0.183)	Loss 2.9199 (2.9778)	Prec@1 34.375 (30.661)	Prec@5 63.281 (59.892)
Epoch: [57][3820/7045]	Time 0.523 (0.248)	Data 0.472 (0.183)	Loss 3.0610 (2.9779)	Prec@1 30.469 (30.658)	Prec@5 53.516 (59.889)
Epoch: [57][3830/7045]	Time 0.126 (0.248)	Data 0.075 (0.183)	Loss 2.8618 (2.9779)	Prec@1 33.984 (30.656)	Prec@5 59.375 (59.886)
Epoch: [57][3840/7045]	Time 0.117 (0.248)	Data 0.066 (0.183)	Loss 2.9112 (2.9779)	Prec@1 32.031 (30.658)	Prec@5 63.672 (59.883)
Epoch: [57][3850/7045]	Time 0.135 (0.248)	Data 0.084 (0.183)	Loss 2.9298 (2.9778)	Prec@1 27.734 (30.659)	Prec@5 62.109 (59.883)
Epoch: [57][3860/7045]	Time 0.565 (0.248)	Data 0.513 (0.183)	Loss 3.0990 (2.9782)	Prec@1 28.516 (30.656)	Prec@5 56.641 (59.877)
Epoch: [57][3870/7045]	Time 0.101 (0.248)	Data 0.001 (0.183)	Loss 3.0039 (2.9782)	Prec@1 30.469 (30.657)	Prec@5 59.766 (59.874)
Epoch: [57][3880/7045]	Time 0.588 (0.248)	Data 0.538 (0.183)	Loss 3.0246 (2.9783)	Prec@1 28.125 (30.654)	Prec@5 58.203 (59.873)
Epoch: [57][3890/7045]	Time 0.168 (0.248)	Data 0.116 (0.183)	Loss 2.9622 (2.9782)	Prec@1 31.641 (30.655)	Prec@5 58.594 (59.870)
Epoch: [57][3900/7045]	Time 0.293 (0.248)	Data 0.243 (0.183)	Loss 2.9069 (2.9782)	Prec@1 32.031 (30.655)	Prec@5 64.062 (59.871)
Epoch: [57][3910/7045]	Time 0.302 (0.248)	Data 0.251 (0.183)	Loss 3.2189 (2.9782)	Prec@1 26.953 (30.653)	Prec@5 56.250 (59.871)
Epoch: [57][3920/7045]	Time 0.101 (0.248)	Data 0.050 (0.183)	Loss 3.0005 (2.9782)	Prec@1 29.688 (30.650)	Prec@5 58.594 (59.869)
Epoch: [57][3930/7045]	Time 0.464 (0.248)	Data 0.414 (0.183)	Loss 2.9363 (2.9781)	Prec@1 31.250 (30.650)	Prec@5 58.984 (59.868)
Epoch: [57][3940/7045]	Time 0.153 (0.248)	Data 0.103 (0.183)	Loss 3.0372 (2.9782)	Prec@1 32.031 (30.650)	Prec@5 55.469 (59.867)
Epoch: [57][3950/7045]	Time 0.410 (0.248)	Data 0.359 (0.183)	Loss 3.0644 (2.9782)	Prec@1 29.688 (30.649)	Prec@5 59.766 (59.865)
Epoch: [57][3960/7045]	Time 0.101 (0.248)	Data 0.005 (0.183)	Loss 2.9323 (2.9782)	Prec@1 31.641 (30.646)	Prec@5 60.156 (59.865)
Epoch: [57][3970/7045]	Time 0.110 (0.248)	Data 0.058 (0.183)	Loss 3.0208 (2.9781)	Prec@1 32.812 (30.650)	Prec@5 58.984 (59.867)
Epoch: [57][3980/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 2.9383 (2.9782)	Prec@1 36.719 (30.654)	Prec@5 58.984 (59.866)
Epoch: [57][3990/7045]	Time 0.124 (0.248)	Data 0.072 (0.183)	Loss 2.9325 (2.9782)	Prec@1 32.422 (30.652)	Prec@5 57.422 (59.865)
Epoch: [57][4000/7045]	Time 0.103 (0.248)	Data 0.001 (0.183)	Loss 3.0113 (2.9781)	Prec@1 29.688 (30.655)	Prec@5 58.594 (59.868)
Epoch: [57][4010/7045]	Time 0.103 (0.248)	Data 0.005 (0.183)	Loss 2.8280 (2.9779)	Prec@1 34.766 (30.655)	Prec@5 63.281 (59.872)
Epoch: [57][4020/7045]	Time 0.107 (0.248)	Data 0.055 (0.183)	Loss 3.1050 (2.9779)	Prec@1 30.469 (30.651)	Prec@5 54.688 (59.871)
Epoch: [57][4030/7045]	Time 0.103 (0.248)	Data 0.050 (0.183)	Loss 3.0774 (2.9781)	Prec@1 31.250 (30.650)	Prec@5 58.594 (59.867)
Epoch: [57][4040/7045]	Time 0.394 (0.248)	Data 0.343 (0.183)	Loss 3.0251 (2.9781)	Prec@1 28.516 (30.649)	Prec@5 58.984 (59.869)
Epoch: [57][4050/7045]	Time 0.103 (0.248)	Data 0.051 (0.183)	Loss 3.0070 (2.9780)	Prec@1 28.516 (30.647)	Prec@5 59.375 (59.866)
Epoch: [57][4060/7045]	Time 0.584 (0.248)	Data 0.533 (0.183)	Loss 2.8174 (2.9781)	Prec@1 29.688 (30.644)	Prec@5 64.062 (59.867)
Epoch: [57][4070/7045]	Time 0.273 (0.248)	Data 0.221 (0.183)	Loss 3.0272 (2.9782)	Prec@1 25.781 (30.641)	Prec@5 56.641 (59.864)
Epoch: [57][4080/7045]	Time 0.199 (0.248)	Data 0.148 (0.183)	Loss 3.1922 (2.9782)	Prec@1 28.906 (30.644)	Prec@5 54.688 (59.863)
Epoch: [57][4090/7045]	Time 0.510 (0.248)	Data 0.459 (0.183)	Loss 3.0263 (2.9784)	Prec@1 30.859 (30.641)	Prec@5 60.938 (59.857)
Epoch: [57][4100/7045]	Time 0.119 (0.248)	Data 0.055 (0.183)	Loss 2.9748 (2.9786)	Prec@1 31.641 (30.638)	Prec@5 56.641 (59.852)
Epoch: [57][4110/7045]	Time 0.377 (0.248)	Data 0.325 (0.183)	Loss 2.9825 (2.9784)	Prec@1 30.859 (30.643)	Prec@5 60.547 (59.856)
Epoch: [57][4120/7045]	Time 0.515 (0.248)	Data 0.464 (0.183)	Loss 3.0025 (2.9784)	Prec@1 25.781 (30.642)	Prec@5 59.766 (59.859)
Epoch: [57][4130/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 2.9073 (2.9784)	Prec@1 30.078 (30.641)	Prec@5 60.547 (59.855)
Epoch: [57][4140/7045]	Time 0.190 (0.248)	Data 0.139 (0.183)	Loss 2.8495 (2.9783)	Prec@1 33.594 (30.642)	Prec@5 60.938 (59.857)
Epoch: [57][4150/7045]	Time 0.473 (0.248)	Data 0.413 (0.183)	Loss 3.3059 (2.9783)	Prec@1 27.344 (30.640)	Prec@5 50.781 (59.856)
Epoch: [57][4160/7045]	Time 0.106 (0.248)	Data 0.054 (0.183)	Loss 3.1426 (2.9784)	Prec@1 26.953 (30.641)	Prec@5 57.812 (59.853)
Epoch: [57][4170/7045]	Time 0.101 (0.248)	Data 0.012 (0.183)	Loss 2.8194 (2.9782)	Prec@1 31.250 (30.643)	Prec@5 62.891 (59.855)
Epoch: [57][4180/7045]	Time 0.483 (0.248)	Data 0.432 (0.183)	Loss 2.8603 (2.9783)	Prec@1 29.688 (30.641)	Prec@5 60.156 (59.850)
Epoch: [57][4190/7045]	Time 0.115 (0.248)	Data 0.058 (0.183)	Loss 3.0802 (2.9785)	Prec@1 28.906 (30.638)	Prec@5 55.859 (59.848)
Epoch: [57][4200/7045]	Time 0.286 (0.248)	Data 0.234 (0.183)	Loss 3.0234 (2.9788)	Prec@1 29.297 (30.634)	Prec@5 58.203 (59.842)
Epoch: [57][4210/7045]	Time 0.107 (0.248)	Data 0.055 (0.183)	Loss 3.2613 (2.9789)	Prec@1 29.688 (30.631)	Prec@5 57.031 (59.842)
Epoch: [57][4220/7045]	Time 0.283 (0.248)	Data 0.231 (0.183)	Loss 2.9608 (2.9787)	Prec@1 30.859 (30.632)	Prec@5 58.203 (59.843)
Epoch: [57][4230/7045]	Time 0.192 (0.248)	Data 0.141 (0.183)	Loss 2.8686 (2.9788)	Prec@1 30.859 (30.631)	Prec@5 64.062 (59.840)
Epoch: [57][4240/7045]	Time 0.152 (0.248)	Data 0.101 (0.183)	Loss 3.1030 (2.9789)	Prec@1 23.438 (30.629)	Prec@5 58.594 (59.840)
Epoch: [57][4250/7045]	Time 0.108 (0.248)	Data 0.001 (0.183)	Loss 3.0007 (2.9790)	Prec@1 32.031 (30.627)	Prec@5 59.375 (59.838)
Epoch: [57][4260/7045]	Time 0.113 (0.248)	Data 0.061 (0.183)	Loss 2.9990 (2.9791)	Prec@1 30.469 (30.624)	Prec@5 60.938 (59.839)
Epoch: [57][4270/7045]	Time 0.404 (0.248)	Data 0.353 (0.183)	Loss 2.7807 (2.9790)	Prec@1 33.984 (30.626)	Prec@5 66.797 (59.841)
Epoch: [57][4280/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 3.0096 (2.9790)	Prec@1 28.906 (30.627)	Prec@5 60.547 (59.843)
Epoch: [57][4290/7045]	Time 0.226 (0.248)	Data 0.174 (0.183)	Loss 3.0183 (2.9790)	Prec@1 29.297 (30.624)	Prec@5 58.203 (59.842)
Epoch: [57][4300/7045]	Time 0.418 (0.248)	Data 0.366 (0.183)	Loss 3.0577 (2.9791)	Prec@1 32.422 (30.625)	Prec@5 54.297 (59.837)
Epoch: [57][4310/7045]	Time 0.136 (0.248)	Data 0.084 (0.183)	Loss 3.0278 (2.9790)	Prec@1 25.000 (30.624)	Prec@5 62.891 (59.842)
Epoch: [57][4320/7045]	Time 0.270 (0.248)	Data 0.218 (0.183)	Loss 2.9448 (2.9791)	Prec@1 30.469 (30.623)	Prec@5 67.188 (59.842)
Epoch: [57][4330/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 3.0574 (2.9791)	Prec@1 31.250 (30.623)	Prec@5 60.547 (59.842)
Epoch: [57][4340/7045]	Time 0.142 (0.248)	Data 0.090 (0.183)	Loss 3.0402 (2.9792)	Prec@1 27.734 (30.623)	Prec@5 58.984 (59.842)
Epoch: [57][4350/7045]	Time 0.102 (0.248)	Data 0.007 (0.183)	Loss 2.9220 (2.9792)	Prec@1 28.906 (30.622)	Prec@5 60.156 (59.840)
Epoch: [57][4360/7045]	Time 0.102 (0.248)	Data 0.013 (0.183)	Loss 3.0391 (2.9794)	Prec@1 27.734 (30.620)	Prec@5 57.812 (59.838)
Epoch: [57][4370/7045]	Time 0.102 (0.248)	Data 0.049 (0.183)	Loss 3.0046 (2.9795)	Prec@1 31.250 (30.620)	Prec@5 58.984 (59.836)
Epoch: [57][4380/7045]	Time 0.101 (0.248)	Data 0.048 (0.183)	Loss 3.1111 (2.9795)	Prec@1 30.078 (30.621)	Prec@5 58.594 (59.835)
Epoch: [57][4390/7045]	Time 0.101 (0.248)	Data 0.048 (0.183)	Loss 3.1469 (2.9795)	Prec@1 30.078 (30.621)	Prec@5 55.469 (59.834)
Epoch: [57][4400/7045]	Time 0.184 (0.248)	Data 0.132 (0.183)	Loss 2.9729 (2.9795)	Prec@1 29.297 (30.622)	Prec@5 60.547 (59.835)
Epoch: [57][4410/7045]	Time 0.148 (0.248)	Data 0.096 (0.183)	Loss 2.8296 (2.9795)	Prec@1 33.594 (30.620)	Prec@5 66.016 (59.835)
Epoch: [57][4420/7045]	Time 0.250 (0.248)	Data 0.199 (0.183)	Loss 3.2417 (2.9796)	Prec@1 23.828 (30.619)	Prec@5 54.297 (59.833)
Epoch: [57][4430/7045]	Time 0.102 (0.248)	Data 0.005 (0.183)	Loss 3.2392 (2.9797)	Prec@1 24.219 (30.616)	Prec@5 53.516 (59.830)
Epoch: [57][4440/7045]	Time 0.561 (0.248)	Data 0.504 (0.183)	Loss 3.1019 (2.9796)	Prec@1 28.125 (30.620)	Prec@5 59.375 (59.833)
Epoch: [57][4450/7045]	Time 0.254 (0.248)	Data 0.202 (0.183)	Loss 2.7828 (2.9796)	Prec@1 35.156 (30.620)	Prec@5 60.938 (59.833)
Epoch: [57][4460/7045]	Time 0.312 (0.248)	Data 0.261 (0.183)	Loss 2.7416 (2.9795)	Prec@1 32.812 (30.620)	Prec@5 67.969 (59.835)
Epoch: [57][4470/7045]	Time 0.346 (0.248)	Data 0.295 (0.183)	Loss 2.8512 (2.9796)	Prec@1 33.984 (30.621)	Prec@5 65.625 (59.836)
Epoch: [57][4480/7045]	Time 0.165 (0.248)	Data 0.113 (0.183)	Loss 2.8768 (2.9795)	Prec@1 30.859 (30.622)	Prec@5 59.766 (59.834)
Epoch: [57][4490/7045]	Time 0.528 (0.248)	Data 0.477 (0.184)	Loss 2.9538 (2.9795)	Prec@1 32.031 (30.623)	Prec@5 62.109 (59.833)
Epoch: [57][4500/7045]	Time 0.111 (0.248)	Data 0.028 (0.183)	Loss 2.6866 (2.9793)	Prec@1 32.031 (30.622)	Prec@5 68.359 (59.839)
Epoch: [57][4510/7045]	Time 0.614 (0.248)	Data 0.562 (0.184)	Loss 3.1237 (2.9794)	Prec@1 30.859 (30.622)	Prec@5 54.688 (59.838)
Epoch: [57][4520/7045]	Time 0.107 (0.248)	Data 0.003 (0.183)	Loss 2.8138 (2.9793)	Prec@1 36.328 (30.623)	Prec@5 64.844 (59.841)
Epoch: [57][4530/7045]	Time 0.642 (0.248)	Data 0.591 (0.184)	Loss 3.0260 (2.9793)	Prec@1 31.641 (30.623)	Prec@5 58.594 (59.844)
Epoch: [57][4540/7045]	Time 0.102 (0.248)	Data 0.050 (0.183)	Loss 3.1943 (2.9793)	Prec@1 28.125 (30.623)	Prec@5 55.078 (59.843)
Epoch: [57][4550/7045]	Time 0.228 (0.248)	Data 0.177 (0.183)	Loss 3.0888 (2.9795)	Prec@1 28.906 (30.621)	Prec@5 56.641 (59.839)
Epoch: [57][4560/7045]	Time 0.102 (0.248)	Data 0.002 (0.183)	Loss 2.9121 (2.9796)	Prec@1 34.375 (30.622)	Prec@5 60.938 (59.837)
Epoch: [57][4570/7045]	Time 0.139 (0.248)	Data 0.089 (0.183)	Loss 2.9796 (2.9795)	Prec@1 30.469 (30.625)	Prec@5 55.859 (59.839)
Epoch: [57][4580/7045]	Time 0.181 (0.248)	Data 0.129 (0.183)	Loss 3.2061 (2.9795)	Prec@1 23.828 (30.624)	Prec@5 57.422 (59.839)
Epoch: [57][4590/7045]	Time 0.192 (0.248)	Data 0.141 (0.183)	Loss 3.1297 (2.9797)	Prec@1 28.906 (30.619)	Prec@5 59.766 (59.835)
Epoch: [57][4600/7045]	Time 0.120 (0.248)	Data 0.070 (0.183)	Loss 2.8954 (2.9798)	Prec@1 33.594 (30.618)	Prec@5 60.547 (59.832)
Epoch: [57][4610/7045]	Time 0.333 (0.248)	Data 0.281 (0.183)	Loss 3.0573 (2.9800)	Prec@1 31.250 (30.616)	Prec@5 59.766 (59.827)
Epoch: [57][4620/7045]	Time 0.101 (0.248)	Data 0.009 (0.183)	Loss 2.9363 (2.9799)	Prec@1 30.469 (30.614)	Prec@5 60.547 (59.828)
Epoch: [57][4630/7045]	Time 0.197 (0.248)	Data 0.146 (0.184)	Loss 2.8901 (2.9799)	Prec@1 31.250 (30.613)	Prec@5 62.109 (59.827)
Epoch: [57][4640/7045]	Time 0.227 (0.248)	Data 0.177 (0.184)	Loss 3.2867 (2.9799)	Prec@1 25.781 (30.613)	Prec@5 51.953 (59.827)
Epoch: [57][4650/7045]	Time 0.293 (0.248)	Data 0.243 (0.184)	Loss 3.0757 (2.9798)	Prec@1 31.250 (30.612)	Prec@5 59.375 (59.828)
Epoch: [57][4660/7045]	Time 0.321 (0.248)	Data 0.271 (0.184)	Loss 2.8145 (2.9796)	Prec@1 34.766 (30.616)	Prec@5 62.891 (59.834)
Epoch: [57][4670/7045]	Time 0.111 (0.248)	Data 0.001 (0.184)	Loss 2.9210 (2.9796)	Prec@1 33.984 (30.617)	Prec@5 60.156 (59.834)
Epoch: [57][4680/7045]	Time 0.392 (0.248)	Data 0.341 (0.184)	Loss 2.9178 (2.9796)	Prec@1 28.906 (30.615)	Prec@5 59.766 (59.833)
Epoch: [57][4690/7045]	Time 0.436 (0.248)	Data 0.386 (0.184)	Loss 2.8638 (2.9797)	Prec@1 29.688 (30.614)	Prec@5 60.547 (59.828)
Epoch: [57][4700/7045]	Time 0.170 (0.248)	Data 0.120 (0.184)	Loss 3.0794 (2.9798)	Prec@1 28.516 (30.614)	Prec@5 57.031 (59.826)
Epoch: [57][4710/7045]	Time 0.663 (0.248)	Data 0.613 (0.184)	Loss 2.9776 (2.9798)	Prec@1 30.078 (30.612)	Prec@5 61.719 (59.828)
Epoch: [57][4720/7045]	Time 0.112 (0.248)	Data 0.001 (0.184)	Loss 3.0735 (2.9798)	Prec@1 30.078 (30.612)	Prec@5 62.109 (59.830)
Epoch: [57][4730/7045]	Time 0.800 (0.248)	Data 0.749 (0.184)	Loss 3.1254 (2.9797)	Prec@1 26.562 (30.611)	Prec@5 58.594 (59.831)
Epoch: [57][4740/7045]	Time 0.101 (0.248)	Data 0.047 (0.184)	Loss 3.0596 (2.9798)	Prec@1 30.469 (30.609)	Prec@5 59.766 (59.832)
Epoch: [57][4750/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 2.9759 (2.9798)	Prec@1 32.031 (30.610)	Prec@5 58.984 (59.832)
Epoch: [57][4760/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 2.9363 (2.9797)	Prec@1 32.812 (30.611)	Prec@5 61.328 (59.833)
Epoch: [57][4770/7045]	Time 0.633 (0.248)	Data 0.582 (0.184)	Loss 3.2000 (2.9799)	Prec@1 27.344 (30.610)	Prec@5 53.516 (59.829)
Epoch: [57][4780/7045]	Time 0.259 (0.248)	Data 0.209 (0.184)	Loss 3.0891 (2.9799)	Prec@1 28.125 (30.609)	Prec@5 61.328 (59.829)
Epoch: [57][4790/7045]	Time 0.452 (0.248)	Data 0.400 (0.184)	Loss 2.9958 (2.9800)	Prec@1 31.641 (30.609)	Prec@5 60.547 (59.829)
Epoch: [57][4800/7045]	Time 0.100 (0.248)	Data 0.005 (0.184)	Loss 3.0166 (2.9798)	Prec@1 33.984 (30.613)	Prec@5 61.328 (59.834)
Epoch: [57][4810/7045]	Time 0.202 (0.248)	Data 0.150 (0.184)	Loss 3.2462 (2.9797)	Prec@1 28.906 (30.616)	Prec@5 57.422 (59.838)
Epoch: [57][4820/7045]	Time 0.109 (0.248)	Data 0.058 (0.184)	Loss 2.9622 (2.9797)	Prec@1 30.859 (30.618)	Prec@5 62.109 (59.838)
Epoch: [57][4830/7045]	Time 0.218 (0.248)	Data 0.166 (0.184)	Loss 2.7078 (2.9796)	Prec@1 39.062 (30.618)	Prec@5 63.281 (59.839)
Epoch: [57][4840/7045]	Time 0.190 (0.248)	Data 0.139 (0.184)	Loss 2.8819 (2.9797)	Prec@1 31.641 (30.617)	Prec@5 64.062 (59.840)
Epoch: [57][4850/7045]	Time 0.146 (0.248)	Data 0.095 (0.184)	Loss 2.8512 (2.9798)	Prec@1 33.594 (30.617)	Prec@5 64.453 (59.841)
Epoch: [57][4860/7045]	Time 0.108 (0.248)	Data 0.001 (0.184)	Loss 3.0731 (2.9798)	Prec@1 28.125 (30.616)	Prec@5 55.859 (59.837)
Epoch: [57][4870/7045]	Time 0.103 (0.248)	Data 0.030 (0.184)	Loss 2.9655 (2.9800)	Prec@1 28.906 (30.614)	Prec@5 58.984 (59.833)
Epoch: [57][4880/7045]	Time 0.101 (0.248)	Data 0.001 (0.184)	Loss 3.1946 (2.9800)	Prec@1 25.781 (30.611)	Prec@5 57.031 (59.833)
Epoch: [57][4890/7045]	Time 0.144 (0.248)	Data 0.092 (0.184)	Loss 2.9609 (2.9799)	Prec@1 30.859 (30.613)	Prec@5 58.594 (59.832)
Epoch: [57][4900/7045]	Time 0.219 (0.248)	Data 0.166 (0.184)	Loss 3.0030 (2.9799)	Prec@1 28.125 (30.610)	Prec@5 60.547 (59.830)
Epoch: [57][4910/7045]	Time 0.532 (0.248)	Data 0.482 (0.184)	Loss 3.0112 (2.9800)	Prec@1 27.734 (30.609)	Prec@5 59.766 (59.830)
Epoch: [57][4920/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 2.8574 (2.9800)	Prec@1 28.516 (30.611)	Prec@5 66.797 (59.831)
Epoch: [57][4930/7045]	Time 0.354 (0.248)	Data 0.304 (0.184)	Loss 2.9252 (2.9799)	Prec@1 37.109 (30.613)	Prec@5 60.156 (59.833)
Epoch: [57][4940/7045]	Time 0.299 (0.248)	Data 0.240 (0.184)	Loss 3.0526 (2.9799)	Prec@1 28.516 (30.612)	Prec@5 58.594 (59.833)
Epoch: [57][4950/7045]	Time 0.104 (0.248)	Data 0.051 (0.184)	Loss 3.1944 (2.9799)	Prec@1 29.688 (30.612)	Prec@5 57.422 (59.834)
Epoch: [57][4960/7045]	Time 0.323 (0.248)	Data 0.272 (0.184)	Loss 2.9326 (2.9798)	Prec@1 31.641 (30.612)	Prec@5 64.453 (59.837)
Epoch: [57][4970/7045]	Time 0.206 (0.248)	Data 0.147 (0.184)	Loss 3.1043 (2.9799)	Prec@1 24.219 (30.611)	Prec@5 59.375 (59.834)
Epoch: [57][4980/7045]	Time 0.313 (0.248)	Data 0.261 (0.184)	Loss 2.7859 (2.9800)	Prec@1 36.719 (30.609)	Prec@5 65.234 (59.832)
Epoch: [57][4990/7045]	Time 0.101 (0.248)	Data 0.046 (0.184)	Loss 2.8336 (2.9800)	Prec@1 33.594 (30.609)	Prec@5 60.547 (59.831)
Epoch: [57][5000/7045]	Time 0.255 (0.248)	Data 0.203 (0.184)	Loss 3.0848 (2.9799)	Prec@1 26.562 (30.609)	Prec@5 56.250 (59.831)
Epoch: [57][5010/7045]	Time 0.108 (0.248)	Data 0.055 (0.184)	Loss 3.0866 (2.9800)	Prec@1 28.906 (30.609)	Prec@5 58.594 (59.832)
Epoch: [57][5020/7045]	Time 0.345 (0.248)	Data 0.295 (0.184)	Loss 2.8942 (2.9799)	Prec@1 32.812 (30.611)	Prec@5 58.594 (59.833)
Epoch: [57][5030/7045]	Time 0.398 (0.248)	Data 0.348 (0.184)	Loss 3.0527 (2.9798)	Prec@1 29.297 (30.611)	Prec@5 57.812 (59.835)
Epoch: [57][5040/7045]	Time 0.207 (0.248)	Data 0.156 (0.184)	Loss 3.0228 (2.9799)	Prec@1 32.031 (30.612)	Prec@5 60.547 (59.832)
Epoch: [57][5050/7045]	Time 0.216 (0.248)	Data 0.166 (0.184)	Loss 2.8005 (2.9799)	Prec@1 32.422 (30.613)	Prec@5 62.109 (59.834)
Epoch: [57][5060/7045]	Time 0.108 (0.248)	Data 0.056 (0.184)	Loss 2.7783 (2.9798)	Prec@1 36.719 (30.616)	Prec@5 64.062 (59.837)
Epoch: [57][5070/7045]	Time 0.278 (0.248)	Data 0.227 (0.184)	Loss 2.9673 (2.9798)	Prec@1 28.125 (30.615)	Prec@5 58.594 (59.836)
Epoch: [57][5080/7045]	Time 0.109 (0.248)	Data 0.058 (0.184)	Loss 2.7440 (2.9800)	Prec@1 35.938 (30.614)	Prec@5 62.500 (59.834)
Epoch: [57][5090/7045]	Time 0.108 (0.248)	Data 0.057 (0.184)	Loss 2.7676 (2.9799)	Prec@1 33.984 (30.615)	Prec@5 64.062 (59.836)
Epoch: [57][5100/7045]	Time 0.125 (0.248)	Data 0.074 (0.184)	Loss 2.9921 (2.9799)	Prec@1 28.516 (30.616)	Prec@5 59.375 (59.834)
Epoch: [57][5110/7045]	Time 0.258 (0.248)	Data 0.206 (0.184)	Loss 2.7969 (2.9799)	Prec@1 33.594 (30.618)	Prec@5 64.844 (59.833)
Epoch: [57][5120/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 3.1484 (2.9798)	Prec@1 26.953 (30.619)	Prec@5 57.812 (59.837)
Epoch: [57][5130/7045]	Time 0.280 (0.248)	Data 0.228 (0.184)	Loss 2.9613 (2.9798)	Prec@1 29.297 (30.619)	Prec@5 59.375 (59.837)
Epoch: [57][5140/7045]	Time 0.388 (0.248)	Data 0.338 (0.184)	Loss 3.2489 (2.9798)	Prec@1 30.469 (30.617)	Prec@5 54.297 (59.837)
Epoch: [57][5150/7045]	Time 0.158 (0.248)	Data 0.107 (0.184)	Loss 2.8927 (2.9798)	Prec@1 33.594 (30.617)	Prec@5 60.547 (59.837)
Epoch: [57][5160/7045]	Time 0.573 (0.248)	Data 0.521 (0.184)	Loss 2.9137 (2.9797)	Prec@1 30.469 (30.618)	Prec@5 58.984 (59.839)
Epoch: [57][5170/7045]	Time 0.103 (0.248)	Data 0.004 (0.184)	Loss 2.8040 (2.9797)	Prec@1 39.453 (30.618)	Prec@5 63.672 (59.840)
Epoch: [57][5180/7045]	Time 0.579 (0.248)	Data 0.528 (0.184)	Loss 3.0737 (2.9799)	Prec@1 27.734 (30.616)	Prec@5 59.766 (59.837)
Epoch: [57][5190/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 2.9752 (2.9799)	Prec@1 32.422 (30.618)	Prec@5 60.938 (59.836)
Epoch: [57][5200/7045]	Time 0.680 (0.248)	Data 0.630 (0.184)	Loss 2.9874 (2.9799)	Prec@1 31.250 (30.618)	Prec@5 59.375 (59.836)
Epoch: [57][5210/7045]	Time 0.109 (0.248)	Data 0.001 (0.184)	Loss 3.1424 (2.9800)	Prec@1 26.172 (30.614)	Prec@5 57.422 (59.833)
Epoch: [57][5220/7045]	Time 0.645 (0.248)	Data 0.589 (0.184)	Loss 2.9246 (2.9800)	Prec@1 29.297 (30.613)	Prec@5 61.328 (59.835)
Epoch: [57][5230/7045]	Time 0.101 (0.248)	Data 0.048 (0.184)	Loss 3.1377 (2.9801)	Prec@1 27.344 (30.612)	Prec@5 59.375 (59.833)
Epoch: [57][5240/7045]	Time 0.564 (0.248)	Data 0.514 (0.184)	Loss 2.9299 (2.9802)	Prec@1 35.938 (30.612)	Prec@5 61.328 (59.831)
Epoch: [57][5250/7045]	Time 0.112 (0.248)	Data 0.061 (0.184)	Loss 3.1074 (2.9802)	Prec@1 26.562 (30.611)	Prec@5 56.641 (59.831)
Epoch: [57][5260/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 3.0405 (2.9802)	Prec@1 28.125 (30.613)	Prec@5 59.766 (59.831)
Epoch: [57][5270/7045]	Time 0.101 (0.248)	Data 0.001 (0.184)	Loss 2.9458 (2.9802)	Prec@1 30.078 (30.613)	Prec@5 60.547 (59.830)
Epoch: [57][5280/7045]	Time 0.108 (0.248)	Data 0.001 (0.184)	Loss 3.2601 (2.9803)	Prec@1 28.125 (30.610)	Prec@5 52.734 (59.826)
Epoch: [57][5290/7045]	Time 0.457 (0.248)	Data 0.406 (0.184)	Loss 2.8340 (2.9803)	Prec@1 38.672 (30.611)	Prec@5 60.156 (59.828)
Epoch: [57][5300/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 3.0909 (2.9802)	Prec@1 29.297 (30.613)	Prec@5 57.812 (59.828)
Epoch: [57][5310/7045]	Time 0.537 (0.248)	Data 0.485 (0.184)	Loss 3.2461 (2.9803)	Prec@1 26.172 (30.614)	Prec@5 54.688 (59.828)
Epoch: [57][5320/7045]	Time 0.158 (0.248)	Data 0.107 (0.184)	Loss 2.8373 (2.9803)	Prec@1 35.547 (30.617)	Prec@5 62.500 (59.828)
Epoch: [57][5330/7045]	Time 0.202 (0.248)	Data 0.150 (0.184)	Loss 2.9739 (2.9803)	Prec@1 31.641 (30.618)	Prec@5 59.375 (59.831)
Epoch: [57][5340/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 2.9519 (2.9803)	Prec@1 30.078 (30.615)	Prec@5 60.156 (59.831)
Epoch: [57][5350/7045]	Time 0.102 (0.248)	Data 0.009 (0.184)	Loss 3.0569 (2.9804)	Prec@1 25.000 (30.613)	Prec@5 59.766 (59.830)
Epoch: [57][5360/7045]	Time 0.642 (0.248)	Data 0.582 (0.184)	Loss 2.8291 (2.9804)	Prec@1 33.203 (30.614)	Prec@5 62.891 (59.829)
Epoch: [57][5370/7045]	Time 0.109 (0.248)	Data 0.001 (0.183)	Loss 3.0374 (2.9804)	Prec@1 32.812 (30.613)	Prec@5 57.031 (59.829)
Epoch: [57][5380/7045]	Time 0.548 (0.248)	Data 0.493 (0.183)	Loss 2.9105 (2.9803)	Prec@1 32.812 (30.614)	Prec@5 62.109 (59.830)
Epoch: [57][5390/7045]	Time 0.235 (0.248)	Data 0.173 (0.183)	Loss 3.1691 (2.9804)	Prec@1 23.438 (30.614)	Prec@5 54.297 (59.828)
Epoch: [57][5400/7045]	Time 0.293 (0.248)	Data 0.242 (0.183)	Loss 2.8649 (2.9804)	Prec@1 33.984 (30.615)	Prec@5 65.625 (59.831)
Epoch: [57][5410/7045]	Time 0.126 (0.248)	Data 0.076 (0.183)	Loss 2.9738 (2.9806)	Prec@1 32.031 (30.614)	Prec@5 62.109 (59.830)
Epoch: [57][5420/7045]	Time 0.112 (0.248)	Data 0.008 (0.183)	Loss 3.1092 (2.9807)	Prec@1 28.906 (30.611)	Prec@5 57.812 (59.827)
Epoch: [57][5430/7045]	Time 0.100 (0.248)	Data 0.002 (0.183)	Loss 3.1973 (2.9807)	Prec@1 26.953 (30.611)	Prec@5 52.344 (59.824)
Epoch: [57][5440/7045]	Time 0.102 (0.248)	Data 0.007 (0.183)	Loss 2.9276 (2.9807)	Prec@1 28.125 (30.609)	Prec@5 60.547 (59.825)
Epoch: [57][5450/7045]	Time 0.546 (0.248)	Data 0.494 (0.183)	Loss 2.7659 (2.9807)	Prec@1 31.250 (30.610)	Prec@5 67.578 (59.827)
Epoch: [57][5460/7045]	Time 0.428 (0.248)	Data 0.376 (0.183)	Loss 2.9715 (2.9807)	Prec@1 31.641 (30.611)	Prec@5 58.203 (59.827)
Epoch: [57][5470/7045]	Time 0.175 (0.248)	Data 0.125 (0.183)	Loss 2.9434 (2.9807)	Prec@1 30.078 (30.611)	Prec@5 62.109 (59.828)
Epoch: [57][5480/7045]	Time 0.148 (0.248)	Data 0.097 (0.183)	Loss 3.2406 (2.9809)	Prec@1 26.562 (30.608)	Prec@5 55.859 (59.825)
Epoch: [57][5490/7045]	Time 0.103 (0.248)	Data 0.008 (0.183)	Loss 3.0344 (2.9808)	Prec@1 29.297 (30.609)	Prec@5 58.984 (59.826)
Epoch: [57][5500/7045]	Time 0.101 (0.248)	Data 0.013 (0.183)	Loss 2.9802 (2.9809)	Prec@1 32.031 (30.608)	Prec@5 58.984 (59.825)
Epoch: [57][5510/7045]	Time 0.101 (0.248)	Data 0.006 (0.183)	Loss 3.3434 (2.9809)	Prec@1 24.219 (30.608)	Prec@5 52.734 (59.824)
Epoch: [57][5520/7045]	Time 0.473 (0.248)	Data 0.422 (0.183)	Loss 2.9981 (2.9809)	Prec@1 31.641 (30.608)	Prec@5 57.031 (59.824)
Epoch: [57][5530/7045]	Time 0.432 (0.248)	Data 0.382 (0.183)	Loss 3.0758 (2.9809)	Prec@1 29.297 (30.607)	Prec@5 51.953 (59.822)
Epoch: [57][5540/7045]	Time 0.266 (0.248)	Data 0.215 (0.183)	Loss 2.8253 (2.9810)	Prec@1 34.375 (30.607)	Prec@5 62.891 (59.821)
Epoch: [57][5550/7045]	Time 0.501 (0.248)	Data 0.451 (0.183)	Loss 3.0434 (2.9810)	Prec@1 30.859 (30.607)	Prec@5 59.766 (59.821)
Epoch: [57][5560/7045]	Time 0.250 (0.248)	Data 0.199 (0.183)	Loss 2.9930 (2.9811)	Prec@1 31.250 (30.605)	Prec@5 61.328 (59.820)
Epoch: [57][5570/7045]	Time 0.100 (0.248)	Data 0.047 (0.183)	Loss 2.7661 (2.9809)	Prec@1 33.203 (30.607)	Prec@5 66.406 (59.824)
Epoch: [57][5580/7045]	Time 0.102 (0.248)	Data 0.051 (0.183)	Loss 3.1041 (2.9809)	Prec@1 28.906 (30.607)	Prec@5 55.859 (59.823)
Epoch: [57][5590/7045]	Time 0.348 (0.248)	Data 0.292 (0.183)	Loss 3.0178 (2.9809)	Prec@1 29.297 (30.608)	Prec@5 61.719 (59.825)
Epoch: [57][5600/7045]	Time 0.575 (0.248)	Data 0.525 (0.183)	Loss 2.7797 (2.9808)	Prec@1 33.984 (30.610)	Prec@5 61.719 (59.826)
Epoch: [57][5610/7045]	Time 0.170 (0.248)	Data 0.118 (0.183)	Loss 2.9981 (2.9807)	Prec@1 28.906 (30.611)	Prec@5 57.422 (59.828)
Epoch: [57][5620/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 2.8451 (2.9806)	Prec@1 30.469 (30.610)	Prec@5 61.719 (59.827)
Epoch: [57][5630/7045]	Time 0.315 (0.248)	Data 0.257 (0.183)	Loss 3.0104 (2.9806)	Prec@1 25.781 (30.610)	Prec@5 61.719 (59.828)
Epoch: [57][5640/7045]	Time 0.383 (0.248)	Data 0.323 (0.183)	Loss 2.9953 (2.9807)	Prec@1 30.469 (30.608)	Prec@5 58.594 (59.827)
Epoch: [57][5650/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 3.0880 (2.9808)	Prec@1 25.781 (30.606)	Prec@5 58.203 (59.826)
Epoch: [57][5660/7045]	Time 0.417 (0.248)	Data 0.366 (0.183)	Loss 2.9859 (2.9808)	Prec@1 27.734 (30.603)	Prec@5 61.328 (59.826)
Epoch: [57][5670/7045]	Time 0.453 (0.248)	Data 0.402 (0.184)	Loss 2.9745 (2.9808)	Prec@1 30.469 (30.605)	Prec@5 61.328 (59.828)
Epoch: [57][5680/7045]	Time 0.101 (0.248)	Data 0.001 (0.183)	Loss 3.1225 (2.9809)	Prec@1 27.344 (30.604)	Prec@5 58.984 (59.828)
Epoch: [57][5690/7045]	Time 0.410 (0.248)	Data 0.360 (0.184)	Loss 2.6875 (2.9807)	Prec@1 36.328 (30.607)	Prec@5 64.453 (59.829)
Epoch: [57][5700/7045]	Time 0.311 (0.248)	Data 0.258 (0.183)	Loss 2.9940 (2.9808)	Prec@1 31.641 (30.607)	Prec@5 61.328 (59.829)
Epoch: [57][5710/7045]	Time 0.253 (0.248)	Data 0.202 (0.184)	Loss 2.8262 (2.9808)	Prec@1 33.594 (30.610)	Prec@5 62.891 (59.830)
Epoch: [57][5720/7045]	Time 0.127 (0.248)	Data 0.076 (0.183)	Loss 3.1374 (2.9809)	Prec@1 23.828 (30.609)	Prec@5 55.859 (59.827)
Epoch: [57][5730/7045]	Time 0.110 (0.248)	Data 0.001 (0.184)	Loss 3.0203 (2.9809)	Prec@1 31.250 (30.608)	Prec@5 55.469 (59.828)
Epoch: [57][5740/7045]	Time 0.103 (0.248)	Data 0.050 (0.183)	Loss 2.9427 (2.9808)	Prec@1 29.297 (30.608)	Prec@5 60.156 (59.829)
Epoch: [57][5750/7045]	Time 0.103 (0.248)	Data 0.001 (0.183)	Loss 2.8541 (2.9808)	Prec@1 27.734 (30.609)	Prec@5 62.500 (59.831)
Epoch: [57][5760/7045]	Time 0.313 (0.248)	Data 0.263 (0.183)	Loss 2.9873 (2.9808)	Prec@1 28.906 (30.607)	Prec@5 57.422 (59.829)
Epoch: [57][5770/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 3.0655 (2.9808)	Prec@1 29.688 (30.606)	Prec@5 57.031 (59.831)
Epoch: [57][5780/7045]	Time 0.133 (0.248)	Data 0.075 (0.183)	Loss 3.0208 (2.9808)	Prec@1 34.766 (30.604)	Prec@5 60.938 (59.831)
Epoch: [57][5790/7045]	Time 0.148 (0.248)	Data 0.096 (0.183)	Loss 2.8188 (2.9809)	Prec@1 30.859 (30.602)	Prec@5 66.797 (59.833)
Epoch: [57][5800/7045]	Time 0.196 (0.248)	Data 0.144 (0.183)	Loss 3.1083 (2.9810)	Prec@1 29.297 (30.599)	Prec@5 56.250 (59.831)
Epoch: [57][5810/7045]	Time 0.104 (0.248)	Data 0.010 (0.183)	Loss 2.8574 (2.9810)	Prec@1 34.375 (30.600)	Prec@5 63.672 (59.832)
Epoch: [57][5820/7045]	Time 0.152 (0.248)	Data 0.101 (0.183)	Loss 2.9702 (2.9809)	Prec@1 28.906 (30.601)	Prec@5 63.281 (59.834)
Epoch: [57][5830/7045]	Time 0.110 (0.248)	Data 0.001 (0.183)	Loss 2.8616 (2.9808)	Prec@1 31.641 (30.601)	Prec@5 62.500 (59.834)
Epoch: [57][5840/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 2.7698 (2.9808)	Prec@1 33.984 (30.602)	Prec@5 64.844 (59.835)
Epoch: [57][5850/7045]	Time 0.231 (0.248)	Data 0.179 (0.183)	Loss 2.9548 (2.9808)	Prec@1 31.250 (30.603)	Prec@5 60.938 (59.834)
Epoch: [57][5860/7045]	Time 0.214 (0.248)	Data 0.162 (0.184)	Loss 2.9092 (2.9808)	Prec@1 34.375 (30.605)	Prec@5 61.328 (59.835)
Epoch: [57][5870/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 2.9521 (2.9808)	Prec@1 29.688 (30.605)	Prec@5 60.156 (59.833)
Epoch: [57][5880/7045]	Time 0.103 (0.248)	Data 0.005 (0.183)	Loss 3.2714 (2.9809)	Prec@1 26.562 (30.602)	Prec@5 54.688 (59.829)
Epoch: [57][5890/7045]	Time 0.224 (0.248)	Data 0.173 (0.183)	Loss 3.1784 (2.9810)	Prec@1 28.516 (30.601)	Prec@5 56.641 (59.829)
Epoch: [57][5900/7045]	Time 0.108 (0.248)	Data 0.001 (0.183)	Loss 3.0564 (2.9809)	Prec@1 28.125 (30.601)	Prec@5 58.984 (59.831)
Epoch: [57][5910/7045]	Time 0.406 (0.248)	Data 0.356 (0.184)	Loss 2.7111 (2.9810)	Prec@1 32.812 (30.600)	Prec@5 66.406 (59.830)
Epoch: [57][5920/7045]	Time 0.237 (0.248)	Data 0.186 (0.184)	Loss 3.0237 (2.9811)	Prec@1 28.516 (30.599)	Prec@5 59.766 (59.828)
Epoch: [57][5930/7045]	Time 0.100 (0.248)	Data 0.048 (0.184)	Loss 2.8955 (2.9811)	Prec@1 32.422 (30.598)	Prec@5 58.594 (59.826)
Epoch: [57][5940/7045]	Time 0.102 (0.248)	Data 0.021 (0.184)	Loss 3.1267 (2.9811)	Prec@1 28.906 (30.596)	Prec@5 53.906 (59.825)
Epoch: [57][5950/7045]	Time 0.102 (0.248)	Data 0.004 (0.183)	Loss 2.8008 (2.9811)	Prec@1 33.203 (30.599)	Prec@5 58.984 (59.825)
Epoch: [57][5960/7045]	Time 0.396 (0.248)	Data 0.344 (0.184)	Loss 2.8512 (2.9811)	Prec@1 32.031 (30.599)	Prec@5 60.156 (59.824)
Epoch: [57][5970/7045]	Time 0.226 (0.248)	Data 0.175 (0.183)	Loss 2.8844 (2.9811)	Prec@1 32.422 (30.600)	Prec@5 62.109 (59.825)
Epoch: [57][5980/7045]	Time 0.109 (0.248)	Data 0.058 (0.184)	Loss 3.1447 (2.9812)	Prec@1 26.172 (30.598)	Prec@5 54.297 (59.821)
Epoch: [57][5990/7045]	Time 0.647 (0.248)	Data 0.588 (0.184)	Loss 3.0809 (2.9813)	Prec@1 28.125 (30.597)	Prec@5 59.375 (59.820)
Epoch: [57][6000/7045]	Time 0.101 (0.248)	Data 0.001 (0.183)	Loss 2.9686 (2.9812)	Prec@1 28.516 (30.597)	Prec@5 54.688 (59.820)
Epoch: [57][6010/7045]	Time 0.632 (0.248)	Data 0.581 (0.183)	Loss 3.1675 (2.9812)	Prec@1 26.953 (30.597)	Prec@5 55.469 (59.822)
Epoch: [57][6020/7045]	Time 0.102 (0.248)	Data 0.007 (0.183)	Loss 3.1111 (2.9813)	Prec@1 30.859 (30.596)	Prec@5 58.203 (59.821)
Epoch: [57][6030/7045]	Time 0.316 (0.248)	Data 0.258 (0.183)	Loss 2.9647 (2.9813)	Prec@1 32.812 (30.596)	Prec@5 57.031 (59.818)
Epoch: [57][6040/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 3.1507 (2.9814)	Prec@1 28.906 (30.596)	Prec@5 57.812 (59.816)
Epoch: [57][6050/7045]	Time 0.108 (0.248)	Data 0.014 (0.183)	Loss 2.9754 (2.9815)	Prec@1 32.031 (30.595)	Prec@5 62.109 (59.813)
Epoch: [57][6060/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 3.0228 (2.9815)	Prec@1 31.250 (30.595)	Prec@5 59.375 (59.811)
Epoch: [57][6070/7045]	Time 0.109 (0.248)	Data 0.005 (0.183)	Loss 2.7504 (2.9817)	Prec@1 39.453 (30.595)	Prec@5 64.844 (59.808)
Epoch: [57][6080/7045]	Time 0.108 (0.248)	Data 0.055 (0.183)	Loss 3.0046 (2.9817)	Prec@1 30.078 (30.595)	Prec@5 60.156 (59.806)
Epoch: [57][6090/7045]	Time 0.102 (0.248)	Data 0.004 (0.183)	Loss 3.0852 (2.9817)	Prec@1 26.953 (30.593)	Prec@5 56.641 (59.804)
Epoch: [57][6100/7045]	Time 0.361 (0.248)	Data 0.309 (0.183)	Loss 2.8378 (2.9817)	Prec@1 31.250 (30.594)	Prec@5 63.281 (59.806)
Epoch: [57][6110/7045]	Time 0.102 (0.248)	Data 0.005 (0.183)	Loss 3.0461 (2.9817)	Prec@1 29.297 (30.592)	Prec@5 56.250 (59.807)
Epoch: [57][6120/7045]	Time 0.701 (0.248)	Data 0.651 (0.183)	Loss 3.1002 (2.9817)	Prec@1 28.125 (30.594)	Prec@5 57.422 (59.808)
Epoch: [57][6130/7045]	Time 0.100 (0.248)	Data 0.001 (0.183)	Loss 2.9694 (2.9817)	Prec@1 30.078 (30.592)	Prec@5 59.375 (59.807)
Epoch: [57][6140/7045]	Time 0.613 (0.248)	Data 0.561 (0.183)	Loss 3.1791 (2.9817)	Prec@1 28.125 (30.592)	Prec@5 57.422 (59.807)
Epoch: [57][6150/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 3.0958 (2.9818)	Prec@1 26.172 (30.589)	Prec@5 58.594 (59.805)
Epoch: [57][6160/7045]	Time 0.395 (0.248)	Data 0.344 (0.183)	Loss 2.8752 (2.9817)	Prec@1 29.688 (30.589)	Prec@5 61.719 (59.805)
Epoch: [57][6170/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 2.8438 (2.9817)	Prec@1 32.812 (30.589)	Prec@5 62.500 (59.805)
Epoch: [57][6180/7045]	Time 0.103 (0.248)	Data 0.008 (0.183)	Loss 2.9347 (2.9817)	Prec@1 32.812 (30.588)	Prec@5 59.766 (59.804)
Epoch: [57][6190/7045]	Time 0.253 (0.248)	Data 0.202 (0.183)	Loss 3.0234 (2.9818)	Prec@1 29.297 (30.587)	Prec@5 57.422 (59.803)
Epoch: [57][6200/7045]	Time 0.103 (0.248)	Data 0.001 (0.183)	Loss 2.8447 (2.9817)	Prec@1 33.984 (30.589)	Prec@5 64.062 (59.803)
Epoch: [57][6210/7045]	Time 0.852 (0.248)	Data 0.793 (0.183)	Loss 2.8813 (2.9817)	Prec@1 32.422 (30.589)	Prec@5 60.938 (59.802)
Epoch: [57][6220/7045]	Time 0.173 (0.248)	Data 0.121 (0.183)	Loss 3.0965 (2.9818)	Prec@1 30.469 (30.591)	Prec@5 56.250 (59.801)
Epoch: [57][6230/7045]	Time 0.500 (0.248)	Data 0.449 (0.183)	Loss 2.9291 (2.9818)	Prec@1 30.078 (30.590)	Prec@5 59.375 (59.800)
Epoch: [57][6240/7045]	Time 0.401 (0.248)	Data 0.350 (0.183)	Loss 2.8777 (2.9818)	Prec@1 32.422 (30.588)	Prec@5 62.109 (59.800)
Epoch: [57][6250/7045]	Time 0.111 (0.248)	Data 0.052 (0.183)	Loss 3.0232 (2.9818)	Prec@1 34.766 (30.589)	Prec@5 62.109 (59.798)
Epoch: [57][6260/7045]	Time 0.448 (0.248)	Data 0.397 (0.183)	Loss 2.9914 (2.9818)	Prec@1 29.297 (30.590)	Prec@5 61.719 (59.799)
Epoch: [57][6270/7045]	Time 0.102 (0.248)	Data 0.007 (0.183)	Loss 3.1425 (2.9818)	Prec@1 29.297 (30.589)	Prec@5 60.547 (59.799)
Epoch: [57][6280/7045]	Time 0.229 (0.248)	Data 0.179 (0.183)	Loss 3.1375 (2.9819)	Prec@1 27.344 (30.589)	Prec@5 55.859 (59.798)
Epoch: [57][6290/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 3.0329 (2.9821)	Prec@1 26.172 (30.585)	Prec@5 59.766 (59.795)
Epoch: [57][6300/7045]	Time 0.109 (0.248)	Data 0.001 (0.183)	Loss 2.8768 (2.9821)	Prec@1 30.859 (30.586)	Prec@5 62.891 (59.795)
Epoch: [57][6310/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 2.9455 (2.9821)	Prec@1 26.953 (30.587)	Prec@5 58.594 (59.797)
Epoch: [57][6320/7045]	Time 0.097 (0.248)	Data 0.046 (0.183)	Loss 3.0611 (2.9821)	Prec@1 29.688 (30.590)	Prec@5 57.812 (59.796)
Epoch: [57][6330/7045]	Time 0.688 (0.248)	Data 0.636 (0.183)	Loss 3.0478 (2.9821)	Prec@1 27.344 (30.588)	Prec@5 60.156 (59.798)
Epoch: [57][6340/7045]	Time 0.110 (0.248)	Data 0.001 (0.183)	Loss 3.2399 (2.9821)	Prec@1 29.297 (30.588)	Prec@5 57.422 (59.799)
Epoch: [57][6350/7045]	Time 0.518 (0.248)	Data 0.467 (0.183)	Loss 3.1181 (2.9821)	Prec@1 25.781 (30.587)	Prec@5 55.469 (59.799)
Epoch: [57][6360/7045]	Time 0.129 (0.248)	Data 0.078 (0.183)	Loss 3.0848 (2.9822)	Prec@1 31.641 (30.588)	Prec@5 56.250 (59.797)
Epoch: [57][6370/7045]	Time 0.207 (0.248)	Data 0.155 (0.183)	Loss 3.0582 (2.9822)	Prec@1 28.516 (30.588)	Prec@5 59.375 (59.796)
Epoch: [57][6380/7045]	Time 0.226 (0.248)	Data 0.174 (0.183)	Loss 3.2521 (2.9823)	Prec@1 25.391 (30.588)	Prec@5 57.031 (59.796)
Epoch: [57][6390/7045]	Time 0.371 (0.248)	Data 0.320 (0.183)	Loss 3.0834 (2.9823)	Prec@1 31.250 (30.588)	Prec@5 55.859 (59.794)
Epoch: [57][6400/7045]	Time 0.103 (0.248)	Data 0.001 (0.183)	Loss 3.1257 (2.9823)	Prec@1 26.562 (30.588)	Prec@5 56.641 (59.793)
Epoch: [57][6410/7045]	Time 0.266 (0.248)	Data 0.216 (0.183)	Loss 2.8276 (2.9823)	Prec@1 33.594 (30.588)	Prec@5 61.328 (59.793)
Epoch: [57][6420/7045]	Time 0.401 (0.248)	Data 0.351 (0.183)	Loss 2.8072 (2.9823)	Prec@1 34.766 (30.589)	Prec@5 66.406 (59.793)
Epoch: [57][6430/7045]	Time 0.374 (0.248)	Data 0.322 (0.183)	Loss 2.9302 (2.9824)	Prec@1 28.906 (30.590)	Prec@5 57.422 (59.791)
Epoch: [57][6440/7045]	Time 0.116 (0.248)	Data 0.065 (0.183)	Loss 2.8826 (2.9824)	Prec@1 27.344 (30.589)	Prec@5 61.328 (59.791)
Epoch: [57][6450/7045]	Time 0.276 (0.248)	Data 0.225 (0.183)	Loss 3.0377 (2.9824)	Prec@1 27.344 (30.591)	Prec@5 60.547 (59.791)
Epoch: [57][6460/7045]	Time 0.346 (0.248)	Data 0.292 (0.183)	Loss 3.0654 (2.9824)	Prec@1 30.469 (30.589)	Prec@5 58.984 (59.790)
Epoch: [57][6470/7045]	Time 0.157 (0.248)	Data 0.106 (0.183)	Loss 3.0283 (2.9824)	Prec@1 33.594 (30.590)	Prec@5 58.203 (59.790)
Epoch: [57][6480/7045]	Time 0.180 (0.248)	Data 0.127 (0.183)	Loss 2.8414 (2.9823)	Prec@1 32.422 (30.592)	Prec@5 62.109 (59.790)
Epoch: [57][6490/7045]	Time 0.358 (0.248)	Data 0.307 (0.183)	Loss 2.9133 (2.9823)	Prec@1 31.250 (30.591)	Prec@5 64.844 (59.790)
Epoch: [57][6500/7045]	Time 0.287 (0.248)	Data 0.236 (0.183)	Loss 2.8789 (2.9824)	Prec@1 32.812 (30.587)	Prec@5 59.766 (59.788)
Epoch: [57][6510/7045]	Time 0.246 (0.248)	Data 0.195 (0.183)	Loss 3.1579 (2.9825)	Prec@1 26.172 (30.586)	Prec@5 56.641 (59.787)
Epoch: [57][6520/7045]	Time 0.297 (0.248)	Data 0.245 (0.183)	Loss 3.0717 (2.9826)	Prec@1 28.516 (30.583)	Prec@5 58.203 (59.784)
Epoch: [57][6530/7045]	Time 0.101 (0.248)	Data 0.012 (0.183)	Loss 3.0379 (2.9826)	Prec@1 30.078 (30.582)	Prec@5 58.984 (59.783)
Epoch: [57][6540/7045]	Time 0.123 (0.248)	Data 0.072 (0.183)	Loss 3.0851 (2.9827)	Prec@1 25.391 (30.581)	Prec@5 58.984 (59.783)
Epoch: [57][6550/7045]	Time 0.241 (0.248)	Data 0.190 (0.183)	Loss 3.0949 (2.9827)	Prec@1 31.250 (30.583)	Prec@5 55.469 (59.781)
Epoch: [57][6560/7045]	Time 0.191 (0.248)	Data 0.140 (0.183)	Loss 3.1446 (2.9828)	Prec@1 25.391 (30.581)	Prec@5 55.859 (59.778)
Epoch: [57][6570/7045]	Time 0.108 (0.248)	Data 0.056 (0.183)	Loss 2.6261 (2.9826)	Prec@1 35.938 (30.583)	Prec@5 67.969 (59.783)
Epoch: [57][6580/7045]	Time 0.332 (0.248)	Data 0.281 (0.183)	Loss 3.3224 (2.9827)	Prec@1 25.391 (30.583)	Prec@5 51.562 (59.783)
Epoch: [57][6590/7045]	Time 0.351 (0.248)	Data 0.299 (0.183)	Loss 3.0729 (2.9827)	Prec@1 29.688 (30.583)	Prec@5 58.594 (59.784)
Epoch: [57][6600/7045]	Time 0.102 (0.248)	Data 0.004 (0.183)	Loss 3.0755 (2.9827)	Prec@1 27.734 (30.580)	Prec@5 55.469 (59.781)
Epoch: [57][6610/7045]	Time 0.605 (0.248)	Data 0.554 (0.183)	Loss 2.9495 (2.9828)	Prec@1 29.688 (30.578)	Prec@5 59.766 (59.780)
Epoch: [57][6620/7045]	Time 0.102 (0.248)	Data 0.051 (0.183)	Loss 2.9122 (2.9827)	Prec@1 31.250 (30.579)	Prec@5 62.500 (59.783)
Epoch: [57][6630/7045]	Time 0.442 (0.248)	Data 0.391 (0.183)	Loss 3.1361 (2.9827)	Prec@1 30.078 (30.581)	Prec@5 57.031 (59.784)
Epoch: [57][6640/7045]	Time 0.190 (0.248)	Data 0.137 (0.183)	Loss 3.0180 (2.9827)	Prec@1 33.203 (30.581)	Prec@5 55.859 (59.783)
Epoch: [57][6650/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 3.0969 (2.9826)	Prec@1 27.734 (30.583)	Prec@5 59.766 (59.785)
Epoch: [57][6660/7045]	Time 0.101 (0.248)	Data 0.001 (0.183)	Loss 3.1013 (2.9826)	Prec@1 25.391 (30.582)	Prec@5 58.203 (59.784)
Epoch: [57][6670/7045]	Time 0.191 (0.248)	Data 0.141 (0.183)	Loss 2.8441 (2.9826)	Prec@1 31.250 (30.581)	Prec@5 62.109 (59.784)
Epoch: [57][6680/7045]	Time 0.411 (0.248)	Data 0.360 (0.183)	Loss 2.9009 (2.9827)	Prec@1 29.297 (30.579)	Prec@5 60.547 (59.783)
Epoch: [57][6690/7045]	Time 0.106 (0.248)	Data 0.053 (0.183)	Loss 2.9570 (2.9827)	Prec@1 32.422 (30.578)	Prec@5 57.812 (59.783)
Epoch: [57][6700/7045]	Time 0.763 (0.248)	Data 0.713 (0.183)	Loss 2.9708 (2.9826)	Prec@1 31.250 (30.580)	Prec@5 58.984 (59.783)
Epoch: [57][6710/7045]	Time 0.207 (0.248)	Data 0.147 (0.183)	Loss 2.9966 (2.9826)	Prec@1 29.297 (30.583)	Prec@5 60.156 (59.784)
Epoch: [57][6720/7045]	Time 0.236 (0.248)	Data 0.178 (0.183)	Loss 2.9926 (2.9826)	Prec@1 31.250 (30.582)	Prec@5 57.031 (59.782)
Epoch: [57][6730/7045]	Time 0.160 (0.248)	Data 0.108 (0.183)	Loss 3.1121 (2.9827)	Prec@1 28.125 (30.581)	Prec@5 57.812 (59.780)
Epoch: [57][6740/7045]	Time 0.267 (0.248)	Data 0.216 (0.183)	Loss 3.0285 (2.9828)	Prec@1 28.906 (30.582)	Prec@5 56.641 (59.776)
Epoch: [57][6750/7045]	Time 0.195 (0.248)	Data 0.145 (0.183)	Loss 2.8857 (2.9827)	Prec@1 30.469 (30.585)	Prec@5 61.719 (59.779)
Epoch: [57][6760/7045]	Time 0.503 (0.248)	Data 0.446 (0.183)	Loss 3.1147 (2.9827)	Prec@1 29.688 (30.584)	Prec@5 58.984 (59.780)
Epoch: [57][6770/7045]	Time 0.262 (0.248)	Data 0.210 (0.183)	Loss 2.8255 (2.9827)	Prec@1 32.422 (30.584)	Prec@5 60.156 (59.781)
Epoch: [57][6780/7045]	Time 0.315 (0.248)	Data 0.263 (0.183)	Loss 2.9244 (2.9827)	Prec@1 36.719 (30.584)	Prec@5 63.281 (59.781)
Epoch: [57][6790/7045]	Time 0.131 (0.248)	Data 0.081 (0.183)	Loss 2.8302 (2.9826)	Prec@1 35.547 (30.585)	Prec@5 60.547 (59.781)
Epoch: [57][6800/7045]	Time 0.102 (0.248)	Data 0.005 (0.183)	Loss 3.0127 (2.9826)	Prec@1 30.469 (30.589)	Prec@5 60.156 (59.782)
Epoch: [57][6810/7045]	Time 0.124 (0.248)	Data 0.073 (0.183)	Loss 2.7132 (2.9826)	Prec@1 37.891 (30.589)	Prec@5 65.625 (59.782)
Epoch: [57][6820/7045]	Time 0.258 (0.248)	Data 0.200 (0.183)	Loss 3.0228 (2.9826)	Prec@1 30.469 (30.589)	Prec@5 56.250 (59.781)
Epoch: [57][6830/7045]	Time 0.163 (0.248)	Data 0.111 (0.183)	Loss 2.7985 (2.9826)	Prec@1 29.688 (30.588)	Prec@5 64.844 (59.783)
Epoch: [57][6840/7045]	Time 0.248 (0.248)	Data 0.190 (0.183)	Loss 3.2787 (2.9826)	Prec@1 26.562 (30.587)	Prec@5 53.516 (59.785)
Epoch: [57][6850/7045]	Time 0.534 (0.248)	Data 0.482 (0.183)	Loss 2.9216 (2.9827)	Prec@1 32.812 (30.584)	Prec@5 57.812 (59.784)
Epoch: [57][6860/7045]	Time 0.103 (0.248)	Data 0.051 (0.183)	Loss 2.9534 (2.9826)	Prec@1 29.688 (30.586)	Prec@5 61.328 (59.785)
Epoch: [57][6870/7045]	Time 0.398 (0.248)	Data 0.347 (0.183)	Loss 3.0038 (2.9826)	Prec@1 25.781 (30.585)	Prec@5 60.547 (59.784)
Epoch: [57][6880/7045]	Time 0.168 (0.248)	Data 0.116 (0.183)	Loss 3.0141 (2.9826)	Prec@1 30.859 (30.586)	Prec@5 54.297 (59.785)
Epoch: [57][6890/7045]	Time 0.247 (0.248)	Data 0.189 (0.183)	Loss 2.9929 (2.9826)	Prec@1 32.812 (30.586)	Prec@5 59.375 (59.784)
Epoch: [57][6900/7045]	Time 0.364 (0.248)	Data 0.313 (0.183)	Loss 3.0595 (2.9827)	Prec@1 28.125 (30.584)	Prec@5 56.641 (59.782)
Epoch: [57][6910/7045]	Time 0.100 (0.248)	Data 0.001 (0.183)	Loss 2.8879 (2.9826)	Prec@1 29.297 (30.585)	Prec@5 60.156 (59.786)
Epoch: [57][6920/7045]	Time 0.554 (0.248)	Data 0.495 (0.183)	Loss 3.1510 (2.9826)	Prec@1 26.953 (30.584)	Prec@5 57.031 (59.786)
Epoch: [57][6930/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 2.8613 (2.9826)	Prec@1 31.641 (30.585)	Prec@5 63.672 (59.788)
Epoch: [57][6940/7045]	Time 0.109 (0.248)	Data 0.013 (0.183)	Loss 2.6908 (2.9825)	Prec@1 35.547 (30.586)	Prec@5 65.625 (59.789)
Epoch: [57][6950/7045]	Time 0.529 (0.248)	Data 0.478 (0.183)	Loss 3.1817 (2.9825)	Prec@1 25.391 (30.584)	Prec@5 55.469 (59.788)
Epoch: [57][6960/7045]	Time 0.101 (0.248)	Data 0.001 (0.183)	Loss 3.1129 (2.9826)	Prec@1 28.516 (30.583)	Prec@5 56.641 (59.788)
Epoch: [57][6970/7045]	Time 0.108 (0.248)	Data 0.002 (0.183)	Loss 3.0997 (2.9826)	Prec@1 30.078 (30.584)	Prec@5 60.156 (59.788)
Epoch: [57][6980/7045]	Time 0.192 (0.248)	Data 0.141 (0.183)	Loss 2.9667 (2.9827)	Prec@1 30.469 (30.583)	Prec@5 59.375 (59.785)
Epoch: [57][6990/7045]	Time 0.161 (0.248)	Data 0.110 (0.183)	Loss 2.9677 (2.9827)	Prec@1 33.203 (30.583)	Prec@5 63.281 (59.784)
Epoch: [57][7000/7045]	Time 0.478 (0.248)	Data 0.427 (0.183)	Loss 3.0593 (2.9827)	Prec@1 28.906 (30.584)	Prec@5 58.984 (59.785)
Epoch: [57][7010/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 3.1636 (2.9827)	Prec@1 26.172 (30.583)	Prec@5 56.641 (59.784)
Epoch: [57][7020/7045]	Time 0.101 (0.248)	Data 0.001 (0.183)	Loss 2.9606 (2.9827)	Prec@1 28.906 (30.583)	Prec@5 62.500 (59.785)
Epoch: [57][7030/7045]	Time 0.120 (0.248)	Data 0.069 (0.183)	Loss 3.0860 (2.9827)	Prec@1 27.734 (30.582)	Prec@5 57.031 (59.785)
Epoch: [57][7040/7045]	Time 0.103 (0.248)	Data 0.051 (0.183)	Loss 2.8112 (2.9828)	Prec@1 36.328 (30.581)	Prec@5 64.844 (59.785)
Test: [0/143]	Time 1.299 (1.299)	Loss 2.5377 (2.5377)	Prec@1 43.359 (43.359)	Prec@5 69.922 (69.922)
Test: [10/143]	Time 0.059 (0.241)	Loss 1.9822 (2.3704)	Prec@1 51.562 (42.330)	Prec@5 77.734 (72.585)
Test: [20/143]	Time 0.642 (0.229)	Loss 2.2919 (2.3649)	Prec@1 45.312 (40.830)	Prec@5 76.172 (73.270)
Test: [30/143]	Time 0.255 (0.205)	Loss 2.8439 (2.3934)	Prec@1 35.156 (41.003)	Prec@5 60.938 (72.127)
Test: [40/143]	Time 0.121 (0.200)	Loss 2.9785 (2.4256)	Prec@1 18.750 (40.330)	Prec@5 62.891 (71.532)
Test: [50/143]	Time 0.282 (0.197)	Loss 2.2385 (2.4732)	Prec@1 39.453 (38.886)	Prec@5 81.250 (70.818)
Test: [60/143]	Time 0.297 (0.193)	Loss 2.6377 (2.4381)	Prec@1 29.688 (39.735)	Prec@5 67.578 (71.472)
Test: [70/143]	Time 0.100 (0.190)	Loss 3.4440 (2.4327)	Prec@1 16.406 (40.025)	Prec@5 47.656 (71.545)
Test: [80/143]	Time 0.114 (0.191)	Loss 2.3547 (2.4156)	Prec@1 41.016 (40.495)	Prec@5 76.172 (72.024)
Test: [90/143]	Time 0.107 (0.188)	Loss 2.2183 (2.4077)	Prec@1 44.922 (40.539)	Prec@5 80.859 (72.253)
Test: [100/143]	Time 0.170 (0.187)	Loss 2.4642 (2.4111)	Prec@1 39.453 (40.200)	Prec@5 74.219 (72.235)
Test: [110/143]	Time 0.184 (0.187)	Loss 2.1680 (2.4103)	Prec@1 42.969 (40.231)	Prec@5 76.562 (72.237)
Test: [120/143]	Time 0.101 (0.185)	Loss 1.7093 (2.4058)	Prec@1 58.203 (40.444)	Prec@5 86.719 (72.211)
Test: [130/143]	Time 0.491 (0.187)	Loss 1.7506 (2.4123)	Prec@1 59.766 (40.473)	Prec@5 78.125 (71.860)
Test: [140/143]	Time 0.065 (0.185)	Loss 3.4843 (2.4383)	Prec@1 16.406 (39.847)	Prec@5 48.828 (71.418)
 * Prec@1 39.874 Prec@5 71.403
Epoch: [58][0/7045]	Time 2.477 (2.477)	Data 2.420 (2.420)	Loss 2.9850 (2.9850)	Prec@1 29.297 (29.297)	Prec@5 62.500 (62.500)
Epoch: [58][10/7045]	Time 0.113 (0.415)	Data 0.059 (0.342)	Loss 2.9863 (2.9290)	Prec@1 28.906 (31.037)	Prec@5 60.547 (61.186)
Epoch: [58][20/7045]	Time 0.297 (0.345)	Data 0.246 (0.282)	Loss 2.8062 (2.9204)	Prec@1 35.547 (32.459)	Prec@5 61.719 (60.882)
Epoch: [58][30/7045]	Time 0.445 (0.317)	Data 0.395 (0.258)	Loss 2.8677 (2.9096)	Prec@1 32.422 (32.195)	Prec@5 57.422 (61.026)
Epoch: [58][40/7045]	Time 0.109 (0.299)	Data 0.001 (0.240)	Loss 2.7774 (2.9141)	Prec@1 32.812 (31.860)	Prec@5 64.062 (60.909)
Epoch: [58][50/7045]	Time 0.698 (0.294)	Data 0.647 (0.235)	Loss 2.8653 (2.9030)	Prec@1 29.688 (31.756)	Prec@5 62.891 (61.252)
Epoch: [58][60/7045]	Time 0.144 (0.282)	Data 0.093 (0.222)	Loss 2.8828 (2.9042)	Prec@1 33.203 (31.615)	Prec@5 63.281 (61.309)
Epoch: [58][70/7045]	Time 0.379 (0.278)	Data 0.329 (0.218)	Loss 3.2949 (2.9289)	Prec@1 23.828 (31.256)	Prec@5 57.812 (60.921)
Epoch: [58][80/7045]	Time 0.137 (0.273)	Data 0.087 (0.214)	Loss 2.9941 (2.9297)	Prec@1 27.344 (31.289)	Prec@5 57.812 (60.875)
Epoch: [58][90/7045]	Time 0.170 (0.270)	Data 0.120 (0.212)	Loss 2.8334 (2.9318)	Prec@1 33.984 (31.297)	Prec@5 65.625 (60.903)
Epoch: [58][100/7045]	Time 0.367 (0.270)	Data 0.316 (0.211)	Loss 3.0338 (2.9290)	Prec@1 28.906 (31.273)	Prec@5 57.812 (60.887)
Epoch: [58][110/7045]	Time 0.445 (0.269)	Data 0.394 (0.211)	Loss 3.1697 (2.9291)	Prec@1 27.734 (31.268)	Prec@5 57.422 (60.878)
Epoch: [58][120/7045]	Time 0.347 (0.267)	Data 0.296 (0.209)	Loss 3.0278 (2.9336)	Prec@1 30.469 (31.231)	Prec@5 58.984 (60.776)
Epoch: [58][130/7045]	Time 0.238 (0.264)	Data 0.187 (0.205)	Loss 2.9395 (2.9408)	Prec@1 33.594 (31.244)	Prec@5 59.766 (60.550)
Epoch: [58][140/7045]	Time 0.109 (0.264)	Data 0.001 (0.205)	Loss 2.9510 (2.9409)	Prec@1 30.078 (31.195)	Prec@5 57.812 (60.469)
Epoch: [58][150/7045]	Time 0.101 (0.261)	Data 0.002 (0.202)	Loss 2.9702 (2.9481)	Prec@1 31.641 (31.084)	Prec@5 58.594 (60.350)
Epoch: [58][160/7045]	Time 0.449 (0.263)	Data 0.395 (0.204)	Loss 2.9582 (2.9500)	Prec@1 30.859 (31.061)	Prec@5 60.156 (60.280)
Epoch: [58][170/7045]	Time 0.101 (0.260)	Data 0.001 (0.201)	Loss 2.8741 (2.9475)	Prec@1 33.203 (31.129)	Prec@5 58.594 (60.284)
Epoch: [58][180/7045]	Time 0.707 (0.262)	Data 0.656 (0.202)	Loss 2.9591 (2.9471)	Prec@1 28.516 (31.080)	Prec@5 58.203 (60.234)
Epoch: [58][190/7045]	Time 0.102 (0.260)	Data 0.001 (0.199)	Loss 2.9729 (2.9483)	Prec@1 32.031 (31.064)	Prec@5 59.375 (60.181)
Epoch: [58][200/7045]	Time 0.636 (0.260)	Data 0.585 (0.197)	Loss 3.0295 (2.9471)	Prec@1 31.641 (31.102)	Prec@5 60.156 (60.226)
Epoch: [58][210/7045]	Time 0.101 (0.259)	Data 0.001 (0.196)	Loss 3.0920 (2.9456)	Prec@1 26.562 (31.119)	Prec@5 58.203 (60.269)
Epoch: [58][220/7045]	Time 0.372 (0.258)	Data 0.322 (0.195)	Loss 2.7880 (2.9446)	Prec@1 32.031 (31.126)	Prec@5 64.844 (60.368)
Epoch: [58][230/7045]	Time 0.112 (0.257)	Data 0.060 (0.194)	Loss 2.8629 (2.9469)	Prec@1 32.031 (31.062)	Prec@5 64.453 (60.342)
Epoch: [58][240/7045]	Time 0.102 (0.257)	Data 0.007 (0.195)	Loss 2.8240 (2.9491)	Prec@1 35.547 (31.033)	Prec@5 62.500 (60.291)
Epoch: [58][250/7045]	Time 0.102 (0.256)	Data 0.001 (0.193)	Loss 2.6154 (2.9479)	Prec@1 36.328 (31.068)	Prec@5 69.141 (60.326)
Epoch: [58][260/7045]	Time 0.224 (0.256)	Data 0.168 (0.193)	Loss 3.0507 (2.9489)	Prec@1 25.391 (31.040)	Prec@5 58.594 (60.328)
Epoch: [58][270/7045]	Time 0.221 (0.255)	Data 0.170 (0.192)	Loss 2.7926 (2.9503)	Prec@1 30.469 (30.993)	Prec@5 64.844 (60.322)
Epoch: [58][280/7045]	Time 0.102 (0.256)	Data 0.001 (0.193)	Loss 3.2514 (2.9525)	Prec@1 28.125 (30.989)	Prec@5 52.344 (60.256)
Epoch: [58][290/7045]	Time 0.429 (0.255)	Data 0.378 (0.192)	Loss 3.1165 (2.9522)	Prec@1 26.562 (30.996)	Prec@5 58.594 (60.266)
Epoch: [58][300/7045]	Time 0.107 (0.254)	Data 0.054 (0.191)	Loss 2.9554 (2.9511)	Prec@1 30.469 (30.989)	Prec@5 59.766 (60.269)
Epoch: [58][310/7045]	Time 0.561 (0.255)	Data 0.503 (0.191)	Loss 2.9498 (2.9528)	Prec@1 32.422 (30.950)	Prec@5 59.766 (60.249)
Epoch: [58][320/7045]	Time 0.134 (0.254)	Data 0.082 (0.190)	Loss 2.9017 (2.9525)	Prec@1 32.812 (30.923)	Prec@5 61.719 (60.240)
Epoch: [58][330/7045]	Time 0.438 (0.254)	Data 0.387 (0.190)	Loss 2.8223 (2.9538)	Prec@1 35.156 (30.916)	Prec@5 64.062 (60.244)
Epoch: [58][340/7045]	Time 0.140 (0.253)	Data 0.089 (0.190)	Loss 2.8855 (2.9534)	Prec@1 32.422 (30.905)	Prec@5 62.891 (60.273)
Epoch: [58][350/7045]	Time 0.272 (0.253)	Data 0.220 (0.189)	Loss 2.8211 (2.9535)	Prec@1 33.984 (30.926)	Prec@5 62.109 (60.296)
Epoch: [58][360/7045]	Time 0.186 (0.253)	Data 0.135 (0.189)	Loss 3.2354 (2.9541)	Prec@1 28.125 (30.913)	Prec@5 53.516 (60.270)
Epoch: [58][370/7045]	Time 0.144 (0.252)	Data 0.092 (0.189)	Loss 2.8504 (2.9545)	Prec@1 32.422 (30.906)	Prec@5 64.453 (60.252)
Epoch: [58][380/7045]	Time 0.144 (0.252)	Data 0.092 (0.189)	Loss 2.7796 (2.9529)	Prec@1 36.719 (30.932)	Prec@5 62.891 (60.304)
Epoch: [58][390/7045]	Time 0.175 (0.252)	Data 0.125 (0.189)	Loss 3.1694 (2.9526)	Prec@1 31.250 (30.935)	Prec@5 58.984 (60.342)
Epoch: [58][400/7045]	Time 0.138 (0.251)	Data 0.087 (0.189)	Loss 2.9720 (2.9540)	Prec@1 30.469 (30.925)	Prec@5 58.594 (60.314)
Epoch: [58][410/7045]	Time 0.452 (0.252)	Data 0.400 (0.189)	Loss 2.9216 (2.9519)	Prec@1 31.641 (30.980)	Prec@5 60.547 (60.357)
Epoch: [58][420/7045]	Time 0.110 (0.251)	Data 0.001 (0.189)	Loss 3.0138 (2.9530)	Prec@1 29.297 (30.971)	Prec@5 62.891 (60.346)
Epoch: [58][430/7045]	Time 0.471 (0.251)	Data 0.420 (0.189)	Loss 2.7857 (2.9514)	Prec@1 38.672 (31.010)	Prec@5 63.672 (60.384)
Epoch: [58][440/7045]	Time 0.169 (0.251)	Data 0.118 (0.188)	Loss 2.9165 (2.9506)	Prec@1 33.984 (31.037)	Prec@5 58.203 (60.394)
Epoch: [58][450/7045]	Time 0.161 (0.251)	Data 0.111 (0.188)	Loss 2.8708 (2.9496)	Prec@1 35.938 (31.079)	Prec@5 62.891 (60.419)
Epoch: [58][460/7045]	Time 0.128 (0.250)	Data 0.077 (0.188)	Loss 2.9682 (2.9501)	Prec@1 30.469 (31.059)	Prec@5 60.547 (60.393)
Epoch: [58][470/7045]	Time 0.326 (0.251)	Data 0.276 (0.188)	Loss 3.1073 (2.9512)	Prec@1 29.688 (31.027)	Prec@5 58.594 (60.408)
Epoch: [58][480/7045]	Time 0.102 (0.250)	Data 0.010 (0.188)	Loss 3.1099 (2.9519)	Prec@1 26.172 (31.017)	Prec@5 56.250 (60.380)
Epoch: [58][490/7045]	Time 0.302 (0.250)	Data 0.251 (0.188)	Loss 2.9762 (2.9516)	Prec@1 30.859 (31.029)	Prec@5 58.984 (60.381)
Epoch: [58][500/7045]	Time 0.720 (0.251)	Data 0.661 (0.189)	Loss 2.8669 (2.9519)	Prec@1 32.812 (31.044)	Prec@5 60.156 (60.403)
Epoch: [58][510/7045]	Time 0.296 (0.250)	Data 0.245 (0.188)	Loss 3.0208 (2.9507)	Prec@1 28.906 (31.060)	Prec@5 60.156 (60.420)
Epoch: [58][520/7045]	Time 0.411 (0.250)	Data 0.361 (0.188)	Loss 3.0408 (2.9500)	Prec@1 27.344 (31.064)	Prec@5 53.125 (60.407)
Epoch: [58][530/7045]	Time 0.101 (0.250)	Data 0.046 (0.187)	Loss 2.7218 (2.9512)	Prec@1 35.547 (31.045)	Prec@5 66.016 (60.403)
Epoch: [58][540/7045]	Time 0.302 (0.250)	Data 0.253 (0.188)	Loss 2.9947 (2.9518)	Prec@1 31.250 (31.030)	Prec@5 59.766 (60.397)
Epoch: [58][550/7045]	Time 0.102 (0.249)	Data 0.005 (0.187)	Loss 2.9303 (2.9519)	Prec@1 28.516 (31.025)	Prec@5 62.500 (60.418)
Epoch: [58][560/7045]	Time 0.107 (0.250)	Data 0.006 (0.188)	Loss 2.8446 (2.9519)	Prec@1 33.984 (31.021)	Prec@5 62.500 (60.418)
Epoch: [58][570/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 3.0553 (2.9524)	Prec@1 30.469 (31.016)	Prec@5 59.766 (60.413)
Epoch: [58][580/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 3.0326 (2.9531)	Prec@1 33.203 (31.003)	Prec@5 59.766 (60.392)
Epoch: [58][590/7045]	Time 0.651 (0.250)	Data 0.592 (0.187)	Loss 3.3024 (2.9524)	Prec@1 25.781 (31.000)	Prec@5 55.469 (60.413)
Epoch: [58][600/7045]	Time 0.101 (0.250)	Data 0.001 (0.186)	Loss 2.7949 (2.9524)	Prec@1 30.078 (30.998)	Prec@5 60.547 (60.392)
Epoch: [58][610/7045]	Time 0.633 (0.250)	Data 0.581 (0.186)	Loss 3.0701 (2.9526)	Prec@1 29.297 (30.999)	Prec@5 58.594 (60.390)
Epoch: [58][620/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 3.0096 (2.9529)	Prec@1 28.906 (31.001)	Prec@5 57.422 (60.374)
Epoch: [58][630/7045]	Time 0.239 (0.249)	Data 0.187 (0.186)	Loss 2.8527 (2.9534)	Prec@1 31.641 (30.996)	Prec@5 64.844 (60.367)
Epoch: [58][640/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 2.9554 (2.9553)	Prec@1 32.031 (30.973)	Prec@5 58.984 (60.332)
Epoch: [58][650/7045]	Time 0.105 (0.249)	Data 0.046 (0.185)	Loss 2.9306 (2.9550)	Prec@1 31.641 (30.980)	Prec@5 60.156 (60.343)
Epoch: [58][660/7045]	Time 0.147 (0.249)	Data 0.096 (0.185)	Loss 3.2366 (2.9547)	Prec@1 25.391 (30.983)	Prec@5 59.375 (60.336)
Epoch: [58][670/7045]	Time 0.102 (0.249)	Data 0.048 (0.185)	Loss 3.1096 (2.9553)	Prec@1 26.953 (30.974)	Prec@5 55.469 (60.306)
Epoch: [58][680/7045]	Time 0.468 (0.249)	Data 0.416 (0.185)	Loss 2.9725 (2.9555)	Prec@1 26.562 (30.980)	Prec@5 57.422 (60.299)
Epoch: [58][690/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 2.8960 (2.9565)	Prec@1 32.422 (30.961)	Prec@5 58.984 (60.257)
Epoch: [58][700/7045]	Time 0.528 (0.249)	Data 0.477 (0.185)	Loss 2.9658 (2.9563)	Prec@1 33.594 (30.964)	Prec@5 58.984 (60.257)
Epoch: [58][710/7045]	Time 0.109 (0.248)	Data 0.001 (0.184)	Loss 3.1897 (2.9561)	Prec@1 27.734 (30.965)	Prec@5 58.984 (60.259)
Epoch: [58][720/7045]	Time 0.568 (0.249)	Data 0.517 (0.184)	Loss 2.8044 (2.9570)	Prec@1 35.156 (30.955)	Prec@5 66.016 (60.245)
Epoch: [58][730/7045]	Time 0.192 (0.248)	Data 0.142 (0.184)	Loss 2.8480 (2.9566)	Prec@1 30.859 (30.971)	Prec@5 60.938 (60.257)
Epoch: [58][740/7045]	Time 0.109 (0.249)	Data 0.006 (0.184)	Loss 3.2110 (2.9569)	Prec@1 27.344 (30.962)	Prec@5 51.172 (60.233)
Epoch: [58][750/7045]	Time 0.102 (0.248)	Data 0.029 (0.184)	Loss 3.1501 (2.9570)	Prec@1 31.250 (30.972)	Prec@5 55.469 (60.226)
Epoch: [58][760/7045]	Time 0.283 (0.249)	Data 0.224 (0.184)	Loss 2.8541 (2.9565)	Prec@1 34.766 (30.979)	Prec@5 63.672 (60.235)
Epoch: [58][770/7045]	Time 0.405 (0.249)	Data 0.355 (0.184)	Loss 3.0070 (2.9569)	Prec@1 28.516 (30.969)	Prec@5 59.766 (60.217)
Epoch: [58][780/7045]	Time 0.161 (0.248)	Data 0.110 (0.184)	Loss 3.0247 (2.9572)	Prec@1 30.078 (30.962)	Prec@5 59.766 (60.215)
Epoch: [58][790/7045]	Time 0.328 (0.248)	Data 0.278 (0.184)	Loss 2.9451 (2.9585)	Prec@1 28.906 (30.940)	Prec@5 58.594 (60.189)
Epoch: [58][800/7045]	Time 0.103 (0.248)	Data 0.001 (0.184)	Loss 2.8486 (2.9584)	Prec@1 35.938 (30.941)	Prec@5 64.844 (60.181)
Epoch: [58][810/7045]	Time 0.317 (0.248)	Data 0.265 (0.184)	Loss 3.0103 (2.9587)	Prec@1 32.812 (30.938)	Prec@5 59.375 (60.174)
Epoch: [58][820/7045]	Time 0.229 (0.248)	Data 0.176 (0.184)	Loss 2.8997 (2.9585)	Prec@1 34.766 (30.949)	Prec@5 61.328 (60.186)
Epoch: [58][830/7045]	Time 0.155 (0.249)	Data 0.103 (0.184)	Loss 2.9850 (2.9584)	Prec@1 27.734 (30.949)	Prec@5 59.375 (60.184)
Epoch: [58][840/7045]	Time 0.250 (0.249)	Data 0.198 (0.184)	Loss 3.2411 (2.9582)	Prec@1 30.469 (30.956)	Prec@5 54.297 (60.184)
Epoch: [58][850/7045]	Time 0.151 (0.248)	Data 0.097 (0.184)	Loss 3.0221 (2.9579)	Prec@1 30.078 (30.966)	Prec@5 57.422 (60.188)
Epoch: [58][860/7045]	Time 0.161 (0.249)	Data 0.111 (0.185)	Loss 2.7042 (2.9577)	Prec@1 30.469 (30.966)	Prec@5 66.406 (60.193)
Epoch: [58][870/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 2.9785 (2.9575)	Prec@1 31.250 (30.979)	Prec@5 58.594 (60.197)
Epoch: [58][880/7045]	Time 0.109 (0.249)	Data 0.057 (0.184)	Loss 2.9394 (2.9582)	Prec@1 28.516 (30.973)	Prec@5 61.719 (60.186)
Epoch: [58][890/7045]	Time 0.469 (0.249)	Data 0.408 (0.185)	Loss 2.7451 (2.9582)	Prec@1 35.547 (30.973)	Prec@5 62.891 (60.182)
Epoch: [58][900/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 3.0548 (2.9582)	Prec@1 28.125 (30.974)	Prec@5 56.250 (60.178)
Epoch: [58][910/7045]	Time 0.298 (0.249)	Data 0.248 (0.184)	Loss 3.1145 (2.9584)	Prec@1 29.297 (30.970)	Prec@5 60.547 (60.184)
Epoch: [58][920/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 2.9228 (2.9588)	Prec@1 32.812 (30.976)	Prec@5 62.891 (60.179)
Epoch: [58][930/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 2.9149 (2.9589)	Prec@1 33.203 (30.984)	Prec@5 62.500 (60.180)
Epoch: [58][940/7045]	Time 0.439 (0.249)	Data 0.388 (0.184)	Loss 3.0241 (2.9586)	Prec@1 32.812 (30.998)	Prec@5 58.203 (60.182)
Epoch: [58][950/7045]	Time 0.102 (0.248)	Data 0.004 (0.184)	Loss 3.0795 (2.9587)	Prec@1 29.297 (31.003)	Prec@5 58.984 (60.174)
Epoch: [58][960/7045]	Time 0.281 (0.249)	Data 0.229 (0.184)	Loss 3.0242 (2.9591)	Prec@1 28.125 (30.984)	Prec@5 59.375 (60.172)
Epoch: [58][970/7045]	Time 0.287 (0.249)	Data 0.237 (0.184)	Loss 2.7777 (2.9595)	Prec@1 32.422 (30.976)	Prec@5 63.281 (60.166)
Epoch: [58][980/7045]	Time 0.101 (0.249)	Data 0.049 (0.184)	Loss 3.1709 (2.9603)	Prec@1 29.297 (30.965)	Prec@5 58.594 (60.143)
Epoch: [58][990/7045]	Time 0.421 (0.249)	Data 0.369 (0.184)	Loss 2.9825 (2.9604)	Prec@1 31.250 (30.958)	Prec@5 57.812 (60.142)
Epoch: [58][1000/7045]	Time 0.117 (0.248)	Data 0.066 (0.184)	Loss 2.9955 (2.9608)	Prec@1 33.203 (30.947)	Prec@5 60.938 (60.142)
Epoch: [58][1010/7045]	Time 0.453 (0.249)	Data 0.394 (0.184)	Loss 2.9829 (2.9605)	Prec@1 32.812 (30.965)	Prec@5 58.203 (60.147)
Epoch: [58][1020/7045]	Time 0.105 (0.248)	Data 0.052 (0.184)	Loss 2.9710 (2.9603)	Prec@1 32.422 (30.956)	Prec@5 57.031 (60.161)
Epoch: [58][1030/7045]	Time 0.194 (0.248)	Data 0.138 (0.184)	Loss 3.0317 (2.9603)	Prec@1 28.125 (30.954)	Prec@5 60.938 (60.165)
Epoch: [58][1040/7045]	Time 0.558 (0.249)	Data 0.508 (0.184)	Loss 3.2295 (2.9603)	Prec@1 25.391 (30.953)	Prec@5 60.156 (60.164)
Epoch: [58][1050/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 2.8300 (2.9599)	Prec@1 30.078 (30.949)	Prec@5 60.547 (60.169)
Epoch: [58][1060/7045]	Time 0.556 (0.249)	Data 0.497 (0.184)	Loss 2.8936 (2.9604)	Prec@1 30.078 (30.942)	Prec@5 62.109 (60.164)
Epoch: [58][1070/7045]	Time 0.223 (0.249)	Data 0.167 (0.184)	Loss 3.0796 (2.9609)	Prec@1 24.609 (30.935)	Prec@5 60.547 (60.149)
Epoch: [58][1080/7045]	Time 0.450 (0.249)	Data 0.399 (0.184)	Loss 2.9905 (2.9613)	Prec@1 27.344 (30.927)	Prec@5 61.328 (60.146)
Epoch: [58][1090/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 2.8585 (2.9619)	Prec@1 34.766 (30.922)	Prec@5 60.547 (60.129)
Epoch: [58][1100/7045]	Time 0.169 (0.248)	Data 0.118 (0.184)	Loss 2.7876 (2.9615)	Prec@1 38.281 (30.935)	Prec@5 62.891 (60.137)
Epoch: [58][1110/7045]	Time 0.206 (0.249)	Data 0.153 (0.185)	Loss 2.9489 (2.9618)	Prec@1 30.078 (30.922)	Prec@5 60.938 (60.139)
Epoch: [58][1120/7045]	Time 0.437 (0.249)	Data 0.386 (0.185)	Loss 2.9523 (2.9621)	Prec@1 31.641 (30.918)	Prec@5 62.500 (60.146)
Epoch: [58][1130/7045]	Time 0.107 (0.248)	Data 0.055 (0.184)	Loss 2.8964 (2.9621)	Prec@1 33.984 (30.924)	Prec@5 59.766 (60.149)
Epoch: [58][1140/7045]	Time 0.174 (0.249)	Data 0.123 (0.185)	Loss 2.9846 (2.9623)	Prec@1 29.688 (30.923)	Prec@5 61.719 (60.139)
Epoch: [58][1150/7045]	Time 0.100 (0.248)	Data 0.003 (0.184)	Loss 3.0298 (2.9626)	Prec@1 30.859 (30.919)	Prec@5 59.375 (60.139)
Epoch: [58][1160/7045]	Time 0.110 (0.249)	Data 0.012 (0.185)	Loss 2.7953 (2.9623)	Prec@1 32.422 (30.915)	Prec@5 62.500 (60.133)
Epoch: [58][1170/7045]	Time 0.103 (0.248)	Data 0.012 (0.184)	Loss 2.9635 (2.9628)	Prec@1 31.641 (30.914)	Prec@5 56.641 (60.122)
Epoch: [58][1180/7045]	Time 0.109 (0.248)	Data 0.001 (0.184)	Loss 3.1699 (2.9637)	Prec@1 27.734 (30.895)	Prec@5 57.031 (60.099)
Epoch: [58][1190/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 3.3427 (2.9639)	Prec@1 21.484 (30.887)	Prec@5 54.688 (60.100)
Epoch: [58][1200/7045]	Time 0.112 (0.248)	Data 0.054 (0.184)	Loss 2.7803 (2.9636)	Prec@1 35.547 (30.886)	Prec@5 63.672 (60.107)
Epoch: [58][1210/7045]	Time 0.651 (0.248)	Data 0.591 (0.184)	Loss 2.8800 (2.9634)	Prec@1 34.766 (30.892)	Prec@5 62.109 (60.108)
Epoch: [58][1220/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 2.7950 (2.9638)	Prec@1 35.547 (30.888)	Prec@5 62.500 (60.104)
Epoch: [58][1230/7045]	Time 0.614 (0.248)	Data 0.562 (0.184)	Loss 2.7321 (2.9637)	Prec@1 31.641 (30.890)	Prec@5 65.625 (60.114)
Epoch: [58][1240/7045]	Time 0.101 (0.248)	Data 0.006 (0.184)	Loss 2.9911 (2.9636)	Prec@1 29.688 (30.893)	Prec@5 56.250 (60.115)
Epoch: [58][1250/7045]	Time 0.278 (0.248)	Data 0.221 (0.184)	Loss 2.8789 (2.9636)	Prec@1 34.375 (30.894)	Prec@5 59.766 (60.112)
Epoch: [58][1260/7045]	Time 0.101 (0.248)	Data 0.003 (0.183)	Loss 2.9331 (2.9633)	Prec@1 30.859 (30.903)	Prec@5 60.938 (60.126)
Epoch: [58][1270/7045]	Time 0.107 (0.248)	Data 0.001 (0.184)	Loss 2.8663 (2.9629)	Prec@1 33.203 (30.908)	Prec@5 62.500 (60.137)
Epoch: [58][1280/7045]	Time 0.103 (0.248)	Data 0.001 (0.183)	Loss 3.0026 (2.9624)	Prec@1 30.859 (30.912)	Prec@5 57.812 (60.148)
Epoch: [58][1290/7045]	Time 0.132 (0.248)	Data 0.082 (0.183)	Loss 2.9734 (2.9619)	Prec@1 29.688 (30.927)	Prec@5 60.547 (60.152)
Epoch: [58][1300/7045]	Time 0.109 (0.248)	Data 0.055 (0.183)	Loss 3.1024 (2.9626)	Prec@1 28.125 (30.914)	Prec@5 55.859 (60.130)
Epoch: [58][1310/7045]	Time 0.126 (0.248)	Data 0.075 (0.183)	Loss 3.0392 (2.9629)	Prec@1 32.422 (30.910)	Prec@5 60.938 (60.120)
Epoch: [58][1320/7045]	Time 0.431 (0.248)	Data 0.379 (0.183)	Loss 3.1504 (2.9626)	Prec@1 29.297 (30.916)	Prec@5 54.297 (60.125)
Epoch: [58][1330/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 3.0663 (2.9628)	Prec@1 30.078 (30.912)	Prec@5 55.469 (60.115)
Epoch: [58][1340/7045]	Time 0.594 (0.248)	Data 0.543 (0.183)	Loss 2.9535 (2.9629)	Prec@1 31.641 (30.909)	Prec@5 58.594 (60.106)
Epoch: [58][1350/7045]	Time 0.117 (0.248)	Data 0.065 (0.183)	Loss 2.6522 (2.9630)	Prec@1 40.234 (30.916)	Prec@5 69.531 (60.102)
Epoch: [58][1360/7045]	Time 0.222 (0.248)	Data 0.171 (0.183)	Loss 2.7837 (2.9631)	Prec@1 34.375 (30.914)	Prec@5 63.672 (60.099)
Epoch: [58][1370/7045]	Time 0.108 (0.248)	Data 0.048 (0.183)	Loss 2.8492 (2.9625)	Prec@1 34.375 (30.925)	Prec@5 62.500 (60.111)
Epoch: [58][1380/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 2.9757 (2.9623)	Prec@1 29.297 (30.928)	Prec@5 60.938 (60.116)
Epoch: [58][1390/7045]	Time 0.340 (0.248)	Data 0.288 (0.183)	Loss 3.0807 (2.9621)	Prec@1 28.125 (30.939)	Prec@5 60.547 (60.121)
Epoch: [58][1400/7045]	Time 0.418 (0.248)	Data 0.359 (0.183)	Loss 2.8550 (2.9621)	Prec@1 34.375 (30.934)	Prec@5 61.328 (60.124)
Epoch: [58][1410/7045]	Time 0.220 (0.248)	Data 0.168 (0.183)	Loss 2.9309 (2.9617)	Prec@1 33.984 (30.938)	Prec@5 63.672 (60.129)
Epoch: [58][1420/7045]	Time 0.529 (0.248)	Data 0.476 (0.183)	Loss 2.8260 (2.9614)	Prec@1 33.594 (30.941)	Prec@5 60.938 (60.134)
Epoch: [58][1430/7045]	Time 0.101 (0.248)	Data 0.007 (0.183)	Loss 3.0480 (2.9608)	Prec@1 29.297 (30.951)	Prec@5 56.641 (60.145)
Epoch: [58][1440/7045]	Time 0.338 (0.248)	Data 0.286 (0.183)	Loss 2.7238 (2.9604)	Prec@1 36.719 (30.953)	Prec@5 67.188 (60.158)
Epoch: [58][1450/7045]	Time 0.140 (0.248)	Data 0.087 (0.183)	Loss 2.9844 (2.9606)	Prec@1 32.422 (30.954)	Prec@5 63.281 (60.160)
Epoch: [58][1460/7045]	Time 0.109 (0.248)	Data 0.016 (0.183)	Loss 3.1399 (2.9607)	Prec@1 28.906 (30.955)	Prec@5 55.859 (60.156)
Epoch: [58][1470/7045]	Time 0.235 (0.248)	Data 0.184 (0.183)	Loss 2.9270 (2.9607)	Prec@1 29.688 (30.956)	Prec@5 63.281 (60.157)
Epoch: [58][1480/7045]	Time 0.101 (0.248)	Data 0.001 (0.183)	Loss 3.0831 (2.9611)	Prec@1 29.297 (30.945)	Prec@5 57.812 (60.153)
Epoch: [58][1490/7045]	Time 0.101 (0.248)	Data 0.001 (0.183)	Loss 3.1854 (2.9610)	Prec@1 26.953 (30.948)	Prec@5 55.469 (60.154)
Epoch: [58][1500/7045]	Time 0.197 (0.248)	Data 0.146 (0.183)	Loss 3.0939 (2.9616)	Prec@1 27.734 (30.941)	Prec@5 57.812 (60.143)
Epoch: [58][1510/7045]	Time 0.564 (0.248)	Data 0.504 (0.183)	Loss 3.0418 (2.9618)	Prec@1 30.859 (30.937)	Prec@5 58.203 (60.140)
Epoch: [58][1520/7045]	Time 0.380 (0.248)	Data 0.328 (0.183)	Loss 3.0202 (2.9619)	Prec@1 30.859 (30.943)	Prec@5 61.328 (60.138)
Epoch: [58][1530/7045]	Time 0.393 (0.248)	Data 0.342 (0.183)	Loss 2.8402 (2.9616)	Prec@1 29.688 (30.950)	Prec@5 58.984 (60.136)
Epoch: [58][1540/7045]	Time 0.142 (0.248)	Data 0.090 (0.183)	Loss 2.9467 (2.9611)	Prec@1 31.250 (30.961)	Prec@5 61.328 (60.140)
Epoch: [58][1550/7045]	Time 0.138 (0.248)	Data 0.086 (0.183)	Loss 2.7145 (2.9606)	Prec@1 32.422 (30.967)	Prec@5 61.719 (60.144)
Epoch: [58][1560/7045]	Time 0.137 (0.248)	Data 0.085 (0.183)	Loss 2.9171 (2.9605)	Prec@1 33.984 (30.975)	Prec@5 60.156 (60.148)
Epoch: [58][1570/7045]	Time 0.124 (0.248)	Data 0.073 (0.183)	Loss 2.9895 (2.9609)	Prec@1 29.297 (30.972)	Prec@5 58.594 (60.137)
Epoch: [58][1580/7045]	Time 0.252 (0.248)	Data 0.201 (0.183)	Loss 2.8406 (2.9609)	Prec@1 31.641 (30.968)	Prec@5 64.062 (60.142)
Epoch: [58][1590/7045]	Time 0.540 (0.248)	Data 0.490 (0.184)	Loss 2.7057 (2.9611)	Prec@1 39.453 (30.966)	Prec@5 64.453 (60.132)
Epoch: [58][1600/7045]	Time 0.102 (0.248)	Data 0.021 (0.183)	Loss 2.9297 (2.9612)	Prec@1 30.078 (30.967)	Prec@5 58.594 (60.131)
Epoch: [58][1610/7045]	Time 0.363 (0.248)	Data 0.311 (0.183)	Loss 2.8584 (2.9610)	Prec@1 33.203 (30.971)	Prec@5 61.719 (60.137)
Epoch: [58][1620/7045]	Time 0.175 (0.248)	Data 0.123 (0.183)	Loss 3.0968 (2.9610)	Prec@1 30.859 (30.974)	Prec@5 58.594 (60.137)
Epoch: [58][1630/7045]	Time 0.313 (0.248)	Data 0.258 (0.184)	Loss 2.9129 (2.9609)	Prec@1 33.594 (30.973)	Prec@5 58.203 (60.135)
Epoch: [58][1640/7045]	Time 0.308 (0.248)	Data 0.258 (0.183)	Loss 2.8725 (2.9608)	Prec@1 31.641 (30.974)	Prec@5 60.547 (60.133)
Epoch: [58][1650/7045]	Time 0.101 (0.248)	Data 0.046 (0.183)	Loss 2.9524 (2.9608)	Prec@1 29.297 (30.976)	Prec@5 57.812 (60.130)
Epoch: [58][1660/7045]	Time 0.469 (0.248)	Data 0.417 (0.183)	Loss 3.0251 (2.9606)	Prec@1 27.344 (30.977)	Prec@5 58.984 (60.134)
Epoch: [58][1670/7045]	Time 0.102 (0.248)	Data 0.048 (0.183)	Loss 2.8455 (2.9608)	Prec@1 35.156 (30.976)	Prec@5 62.109 (60.125)
Epoch: [58][1680/7045]	Time 0.101 (0.248)	Data 0.007 (0.183)	Loss 2.7664 (2.9603)	Prec@1 31.641 (30.983)	Prec@5 64.844 (60.137)
Epoch: [58][1690/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 2.8019 (2.9605)	Prec@1 30.078 (30.982)	Prec@5 64.844 (60.134)
Epoch: [58][1700/7045]	Time 0.113 (0.248)	Data 0.010 (0.183)	Loss 3.1711 (2.9608)	Prec@1 28.516 (30.984)	Prec@5 55.859 (60.133)
Epoch: [58][1710/7045]	Time 0.386 (0.248)	Data 0.335 (0.183)	Loss 3.0971 (2.9609)	Prec@1 27.734 (30.980)	Prec@5 56.641 (60.130)
Epoch: [58][1720/7045]	Time 0.097 (0.248)	Data 0.001 (0.183)	Loss 2.9582 (2.9609)	Prec@1 30.859 (30.979)	Prec@5 61.719 (60.127)
Epoch: [58][1730/7045]	Time 0.632 (0.248)	Data 0.581 (0.183)	Loss 2.9595 (2.9609)	Prec@1 28.906 (30.983)	Prec@5 60.156 (60.129)
Epoch: [58][1740/7045]	Time 0.164 (0.248)	Data 0.114 (0.183)	Loss 3.1510 (2.9610)	Prec@1 27.734 (30.984)	Prec@5 56.641 (60.126)
Epoch: [58][1750/7045]	Time 0.218 (0.248)	Data 0.168 (0.183)	Loss 2.8959 (2.9613)	Prec@1 32.422 (30.986)	Prec@5 62.500 (60.119)
Epoch: [58][1760/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 2.9838 (2.9609)	Prec@1 30.078 (30.986)	Prec@5 61.719 (60.131)
Epoch: [58][1770/7045]	Time 0.160 (0.248)	Data 0.109 (0.183)	Loss 2.9145 (2.9608)	Prec@1 33.594 (30.986)	Prec@5 60.938 (60.132)
Epoch: [58][1780/7045]	Time 0.139 (0.248)	Data 0.087 (0.183)	Loss 2.8301 (2.9605)	Prec@1 32.031 (30.993)	Prec@5 63.672 (60.140)
Epoch: [58][1790/7045]	Time 0.102 (0.248)	Data 0.048 (0.183)	Loss 3.0278 (2.9603)	Prec@1 32.812 (30.997)	Prec@5 62.500 (60.146)
Epoch: [58][1800/7045]	Time 0.342 (0.248)	Data 0.291 (0.183)	Loss 2.7704 (2.9605)	Prec@1 35.547 (30.994)	Prec@5 67.578 (60.142)
Epoch: [58][1810/7045]	Time 0.106 (0.248)	Data 0.053 (0.183)	Loss 2.8553 (2.9605)	Prec@1 34.766 (30.998)	Prec@5 65.234 (60.147)
Epoch: [58][1820/7045]	Time 0.105 (0.248)	Data 0.051 (0.183)	Loss 2.9669 (2.9609)	Prec@1 30.469 (30.990)	Prec@5 58.203 (60.139)
Epoch: [58][1830/7045]	Time 0.103 (0.248)	Data 0.007 (0.183)	Loss 2.9927 (2.9606)	Prec@1 32.422 (31.003)	Prec@5 60.547 (60.142)
Epoch: [58][1840/7045]	Time 0.111 (0.248)	Data 0.059 (0.183)	Loss 3.0380 (2.9603)	Prec@1 30.078 (31.009)	Prec@5 58.984 (60.150)
Epoch: [58][1850/7045]	Time 0.259 (0.248)	Data 0.208 (0.183)	Loss 3.0647 (2.9604)	Prec@1 27.734 (31.006)	Prec@5 57.031 (60.150)
Epoch: [58][1860/7045]	Time 0.335 (0.248)	Data 0.284 (0.183)	Loss 3.0326 (2.9604)	Prec@1 31.250 (31.004)	Prec@5 59.766 (60.153)
Epoch: [58][1870/7045]	Time 0.279 (0.248)	Data 0.228 (0.183)	Loss 2.9528 (2.9607)	Prec@1 35.938 (31.009)	Prec@5 62.500 (60.147)
Epoch: [58][1880/7045]	Time 0.216 (0.248)	Data 0.166 (0.183)	Loss 2.8973 (2.9609)	Prec@1 33.203 (31.008)	Prec@5 61.719 (60.142)
Epoch: [58][1890/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 2.9616 (2.9610)	Prec@1 29.688 (31.001)	Prec@5 57.422 (60.133)
Epoch: [58][1900/7045]	Time 0.361 (0.248)	Data 0.310 (0.183)	Loss 3.1035 (2.9609)	Prec@1 26.172 (30.995)	Prec@5 59.375 (60.133)
Epoch: [58][1910/7045]	Time 0.121 (0.248)	Data 0.069 (0.183)	Loss 2.9525 (2.9607)	Prec@1 31.250 (31.004)	Prec@5 59.766 (60.132)
Epoch: [58][1920/7045]	Time 0.510 (0.248)	Data 0.459 (0.183)	Loss 2.9955 (2.9612)	Prec@1 30.078 (30.993)	Prec@5 59.375 (60.122)
Epoch: [58][1930/7045]	Time 0.124 (0.248)	Data 0.073 (0.183)	Loss 2.8457 (2.9613)	Prec@1 33.594 (30.995)	Prec@5 61.719 (60.122)
Epoch: [58][1940/7045]	Time 0.284 (0.248)	Data 0.228 (0.183)	Loss 2.9577 (2.9616)	Prec@1 28.906 (30.988)	Prec@5 62.500 (60.118)
Epoch: [58][1950/7045]	Time 0.102 (0.248)	Data 0.005 (0.183)	Loss 2.9421 (2.9617)	Prec@1 32.422 (30.984)	Prec@5 64.062 (60.116)
Epoch: [58][1960/7045]	Time 0.113 (0.248)	Data 0.062 (0.183)	Loss 2.9944 (2.9616)	Prec@1 32.031 (30.993)	Prec@5 60.156 (60.110)
Epoch: [58][1970/7045]	Time 0.135 (0.248)	Data 0.084 (0.183)	Loss 2.8913 (2.9615)	Prec@1 32.031 (30.997)	Prec@5 63.281 (60.109)
Epoch: [58][1980/7045]	Time 0.102 (0.248)	Data 0.050 (0.183)	Loss 3.1103 (2.9616)	Prec@1 26.562 (30.995)	Prec@5 57.422 (60.104)
Epoch: [58][1990/7045]	Time 0.187 (0.248)	Data 0.137 (0.183)	Loss 3.0930 (2.9613)	Prec@1 25.000 (31.005)	Prec@5 58.203 (60.111)
Epoch: [58][2000/7045]	Time 0.101 (0.248)	Data 0.050 (0.183)	Loss 3.0709 (2.9614)	Prec@1 30.859 (31.002)	Prec@5 55.859 (60.104)
Epoch: [58][2010/7045]	Time 0.111 (0.248)	Data 0.059 (0.183)	Loss 2.7045 (2.9616)	Prec@1 37.500 (31.000)	Prec@5 66.797 (60.100)
Epoch: [58][2020/7045]	Time 0.211 (0.248)	Data 0.159 (0.183)	Loss 2.9740 (2.9616)	Prec@1 37.109 (31.004)	Prec@5 57.422 (60.101)
Epoch: [58][2030/7045]	Time 0.102 (0.248)	Data 0.002 (0.183)	Loss 2.9576 (2.9616)	Prec@1 33.203 (31.003)	Prec@5 61.328 (60.105)
Epoch: [58][2040/7045]	Time 0.102 (0.248)	Data 0.004 (0.183)	Loss 3.1618 (2.9615)	Prec@1 26.562 (30.997)	Prec@5 55.469 (60.106)
Epoch: [58][2050/7045]	Time 0.103 (0.248)	Data 0.051 (0.183)	Loss 2.7937 (2.9615)	Prec@1 31.641 (30.997)	Prec@5 62.500 (60.100)
Epoch: [58][2060/7045]	Time 0.101 (0.248)	Data 0.001 (0.183)	Loss 3.0937 (2.9618)	Prec@1 25.781 (30.994)	Prec@5 55.469 (60.094)
Epoch: [58][2070/7045]	Time 0.101 (0.248)	Data 0.001 (0.183)	Loss 2.9559 (2.9618)	Prec@1 30.859 (30.995)	Prec@5 60.938 (60.088)
Epoch: [58][2080/7045]	Time 0.231 (0.248)	Data 0.180 (0.183)	Loss 3.0405 (2.9617)	Prec@1 32.812 (30.994)	Prec@5 62.891 (60.091)
Epoch: [58][2090/7045]	Time 0.494 (0.248)	Data 0.442 (0.183)	Loss 2.9421 (2.9613)	Prec@1 32.031 (30.995)	Prec@5 58.984 (60.099)
Epoch: [58][2100/7045]	Time 0.344 (0.248)	Data 0.292 (0.183)	Loss 2.9172 (2.9613)	Prec@1 33.203 (30.998)	Prec@5 59.375 (60.100)
Epoch: [58][2110/7045]	Time 0.504 (0.248)	Data 0.452 (0.183)	Loss 3.3089 (2.9617)	Prec@1 26.562 (30.992)	Prec@5 53.906 (60.091)
Epoch: [58][2120/7045]	Time 0.355 (0.248)	Data 0.298 (0.183)	Loss 3.1757 (2.9615)	Prec@1 30.469 (30.997)	Prec@5 57.422 (60.095)
Epoch: [58][2130/7045]	Time 0.198 (0.248)	Data 0.148 (0.183)	Loss 2.9764 (2.9612)	Prec@1 33.984 (31.005)	Prec@5 59.766 (60.100)
Epoch: [58][2140/7045]	Time 0.400 (0.248)	Data 0.350 (0.183)	Loss 2.8641 (2.9613)	Prec@1 31.250 (31.003)	Prec@5 61.719 (60.100)
Epoch: [58][2150/7045]	Time 0.102 (0.248)	Data 0.005 (0.183)	Loss 2.8583 (2.9613)	Prec@1 28.906 (31.001)	Prec@5 62.891 (60.096)
Epoch: [58][2160/7045]	Time 0.355 (0.248)	Data 0.303 (0.183)	Loss 3.1015 (2.9615)	Prec@1 27.734 (30.999)	Prec@5 57.422 (60.089)
Epoch: [58][2170/7045]	Time 0.284 (0.248)	Data 0.233 (0.183)	Loss 2.9254 (2.9617)	Prec@1 26.562 (30.998)	Prec@5 60.156 (60.089)
Epoch: [58][2180/7045]	Time 0.101 (0.248)	Data 0.001 (0.183)	Loss 2.9156 (2.9618)	Prec@1 34.375 (30.998)	Prec@5 58.594 (60.086)
Epoch: [58][2190/7045]	Time 0.354 (0.248)	Data 0.303 (0.183)	Loss 2.8101 (2.9619)	Prec@1 33.594 (31.000)	Prec@5 60.156 (60.084)
Epoch: [58][2200/7045]	Time 0.420 (0.248)	Data 0.370 (0.183)	Loss 2.8906 (2.9618)	Prec@1 31.250 (31.004)	Prec@5 59.766 (60.082)
Epoch: [58][2210/7045]	Time 0.317 (0.248)	Data 0.258 (0.184)	Loss 2.9396 (2.9620)	Prec@1 34.375 (31.004)	Prec@5 60.547 (60.080)
Epoch: [58][2220/7045]	Time 0.290 (0.248)	Data 0.233 (0.184)	Loss 2.8349 (2.9618)	Prec@1 30.859 (31.000)	Prec@5 64.453 (60.083)
Epoch: [58][2230/7045]	Time 0.299 (0.248)	Data 0.247 (0.184)	Loss 2.8031 (2.9617)	Prec@1 33.594 (30.999)	Prec@5 63.672 (60.088)
Epoch: [58][2240/7045]	Time 0.143 (0.248)	Data 0.092 (0.184)	Loss 3.1145 (2.9616)	Prec@1 28.125 (31.002)	Prec@5 55.859 (60.092)
Epoch: [58][2250/7045]	Time 0.301 (0.248)	Data 0.250 (0.184)	Loss 2.8779 (2.9616)	Prec@1 27.344 (30.997)	Prec@5 64.062 (60.094)
Epoch: [58][2260/7045]	Time 0.160 (0.248)	Data 0.109 (0.184)	Loss 3.1105 (2.9618)	Prec@1 27.344 (30.993)	Prec@5 56.641 (60.089)
Epoch: [58][2270/7045]	Time 0.101 (0.248)	Data 0.048 (0.184)	Loss 2.9832 (2.9617)	Prec@1 28.125 (30.990)	Prec@5 59.375 (60.092)
Epoch: [58][2280/7045]	Time 0.314 (0.248)	Data 0.264 (0.184)	Loss 2.9911 (2.9614)	Prec@1 34.375 (30.998)	Prec@5 58.984 (60.102)
Epoch: [58][2290/7045]	Time 0.557 (0.248)	Data 0.493 (0.184)	Loss 3.1872 (2.9615)	Prec@1 28.516 (30.997)	Prec@5 53.125 (60.098)
Epoch: [58][2300/7045]	Time 0.122 (0.248)	Data 0.071 (0.184)	Loss 2.9643 (2.9613)	Prec@1 30.469 (31.000)	Prec@5 62.500 (60.102)
Epoch: [58][2310/7045]	Time 0.711 (0.248)	Data 0.659 (0.184)	Loss 3.0367 (2.9612)	Prec@1 29.688 (30.997)	Prec@5 60.156 (60.106)
Epoch: [58][2320/7045]	Time 0.108 (0.248)	Data 0.010 (0.184)	Loss 3.0392 (2.9613)	Prec@1 26.953 (30.992)	Prec@5 61.328 (60.105)
Epoch: [58][2330/7045]	Time 0.484 (0.248)	Data 0.433 (0.184)	Loss 2.9898 (2.9613)	Prec@1 28.906 (30.994)	Prec@5 56.641 (60.102)
Epoch: [58][2340/7045]	Time 0.443 (0.248)	Data 0.391 (0.184)	Loss 2.9321 (2.9614)	Prec@1 32.812 (30.991)	Prec@5 59.375 (60.099)
Epoch: [58][2350/7045]	Time 0.103 (0.248)	Data 0.051 (0.184)	Loss 3.1176 (2.9613)	Prec@1 26.172 (30.991)	Prec@5 58.203 (60.099)
Epoch: [58][2360/7045]	Time 0.575 (0.248)	Data 0.525 (0.184)	Loss 3.0291 (2.9613)	Prec@1 29.297 (30.993)	Prec@5 57.812 (60.096)
Epoch: [58][2370/7045]	Time 0.238 (0.248)	Data 0.187 (0.184)	Loss 2.8734 (2.9613)	Prec@1 32.422 (30.994)	Prec@5 58.594 (60.097)
Epoch: [58][2380/7045]	Time 0.537 (0.248)	Data 0.485 (0.184)	Loss 3.1366 (2.9611)	Prec@1 22.266 (30.996)	Prec@5 57.812 (60.101)
Epoch: [58][2390/7045]	Time 0.114 (0.248)	Data 0.001 (0.184)	Loss 2.8758 (2.9610)	Prec@1 33.594 (30.997)	Prec@5 59.766 (60.101)
Epoch: [58][2400/7045]	Time 0.255 (0.248)	Data 0.205 (0.184)	Loss 3.0725 (2.9610)	Prec@1 30.469 (31.001)	Prec@5 58.203 (60.099)
Epoch: [58][2410/7045]	Time 0.254 (0.248)	Data 0.202 (0.184)	Loss 2.9458 (2.9609)	Prec@1 31.250 (31.003)	Prec@5 60.156 (60.105)
Epoch: [58][2420/7045]	Time 0.102 (0.248)	Data 0.008 (0.184)	Loss 3.0297 (2.9611)	Prec@1 29.688 (30.995)	Prec@5 56.250 (60.103)
Epoch: [58][2430/7045]	Time 0.459 (0.248)	Data 0.401 (0.184)	Loss 2.9380 (2.9610)	Prec@1 31.250 (31.000)	Prec@5 61.719 (60.107)
Epoch: [58][2440/7045]	Time 0.208 (0.248)	Data 0.157 (0.184)	Loss 2.8944 (2.9609)	Prec@1 31.641 (31.006)	Prec@5 62.891 (60.106)
Epoch: [58][2450/7045]	Time 0.108 (0.248)	Data 0.050 (0.184)	Loss 2.9168 (2.9609)	Prec@1 31.250 (31.006)	Prec@5 60.156 (60.106)
Epoch: [58][2460/7045]	Time 0.114 (0.248)	Data 0.062 (0.184)	Loss 2.9962 (2.9610)	Prec@1 26.562 (31.004)	Prec@5 56.250 (60.102)
Epoch: [58][2470/7045]	Time 0.408 (0.248)	Data 0.356 (0.184)	Loss 3.0189 (2.9612)	Prec@1 32.031 (31.003)	Prec@5 60.156 (60.099)
Epoch: [58][2480/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 2.8015 (2.9612)	Prec@1 33.203 (31.005)	Prec@5 62.109 (60.100)
Epoch: [58][2490/7045]	Time 0.367 (0.248)	Data 0.316 (0.184)	Loss 2.8914 (2.9611)	Prec@1 30.078 (31.004)	Prec@5 62.500 (60.105)
Epoch: [58][2500/7045]	Time 0.258 (0.248)	Data 0.205 (0.184)	Loss 3.0677 (2.9613)	Prec@1 28.125 (31.000)	Prec@5 55.469 (60.103)
Epoch: [58][2510/7045]	Time 0.143 (0.248)	Data 0.091 (0.184)	Loss 3.2430 (2.9616)	Prec@1 28.125 (30.994)	Prec@5 55.859 (60.099)
Epoch: [58][2520/7045]	Time 0.103 (0.248)	Data 0.004 (0.184)	Loss 3.0375 (2.9617)	Prec@1 30.859 (30.991)	Prec@5 57.812 (60.095)
Epoch: [58][2530/7045]	Time 0.168 (0.248)	Data 0.118 (0.184)	Loss 2.9154 (2.9618)	Prec@1 28.125 (30.989)	Prec@5 64.062 (60.095)
Epoch: [58][2540/7045]	Time 0.226 (0.248)	Data 0.174 (0.184)	Loss 3.1705 (2.9622)	Prec@1 28.516 (30.984)	Prec@5 57.422 (60.089)
Epoch: [58][2550/7045]	Time 0.330 (0.248)	Data 0.277 (0.184)	Loss 3.0547 (2.9621)	Prec@1 30.078 (30.985)	Prec@5 57.812 (60.091)
Epoch: [58][2560/7045]	Time 0.357 (0.248)	Data 0.306 (0.184)	Loss 2.9863 (2.9620)	Prec@1 29.688 (30.988)	Prec@5 59.766 (60.096)
Epoch: [58][2570/7045]	Time 0.399 (0.248)	Data 0.348 (0.184)	Loss 2.9106 (2.9620)	Prec@1 26.953 (30.988)	Prec@5 58.203 (60.098)
Epoch: [58][2580/7045]	Time 0.103 (0.248)	Data 0.012 (0.184)	Loss 2.9127 (2.9619)	Prec@1 31.250 (30.990)	Prec@5 61.719 (60.097)
Epoch: [58][2590/7045]	Time 0.175 (0.248)	Data 0.124 (0.184)	Loss 2.9897 (2.9619)	Prec@1 29.297 (30.989)	Prec@5 60.938 (60.100)
Epoch: [58][2600/7045]	Time 0.235 (0.248)	Data 0.183 (0.184)	Loss 3.1012 (2.9620)	Prec@1 25.781 (30.986)	Prec@5 60.938 (60.101)
Epoch: [58][2610/7045]	Time 0.119 (0.248)	Data 0.068 (0.184)	Loss 2.8802 (2.9619)	Prec@1 36.719 (30.994)	Prec@5 58.594 (60.102)
Epoch: [58][2620/7045]	Time 0.321 (0.248)	Data 0.270 (0.184)	Loss 2.9312 (2.9619)	Prec@1 34.766 (31.001)	Prec@5 58.203 (60.105)
Epoch: [58][2630/7045]	Time 0.182 (0.248)	Data 0.130 (0.184)	Loss 2.9557 (2.9620)	Prec@1 31.641 (30.998)	Prec@5 56.641 (60.101)
Epoch: [58][2640/7045]	Time 0.340 (0.248)	Data 0.288 (0.184)	Loss 2.8684 (2.9619)	Prec@1 36.328 (31.005)	Prec@5 59.375 (60.104)
Epoch: [58][2650/7045]	Time 0.192 (0.248)	Data 0.141 (0.184)	Loss 2.8697 (2.9617)	Prec@1 30.469 (31.003)	Prec@5 62.891 (60.109)
Epoch: [58][2660/7045]	Time 0.150 (0.248)	Data 0.099 (0.184)	Loss 3.0562 (2.9621)	Prec@1 30.859 (30.997)	Prec@5 57.812 (60.102)
Epoch: [58][2670/7045]	Time 0.281 (0.248)	Data 0.222 (0.184)	Loss 3.0529 (2.9624)	Prec@1 29.297 (30.992)	Prec@5 58.203 (60.093)
Epoch: [58][2680/7045]	Time 0.205 (0.248)	Data 0.155 (0.184)	Loss 3.0033 (2.9625)	Prec@1 30.859 (30.994)	Prec@5 60.547 (60.096)
Epoch: [58][2690/7045]	Time 0.219 (0.248)	Data 0.167 (0.184)	Loss 3.1022 (2.9623)	Prec@1 27.734 (30.998)	Prec@5 55.078 (60.097)
Epoch: [58][2700/7045]	Time 0.159 (0.248)	Data 0.108 (0.184)	Loss 3.0127 (2.9626)	Prec@1 29.297 (30.992)	Prec@5 61.328 (60.091)
Epoch: [58][2710/7045]	Time 0.357 (0.248)	Data 0.306 (0.184)	Loss 2.9355 (2.9626)	Prec@1 33.984 (30.995)	Prec@5 59.375 (60.090)
Epoch: [58][2720/7045]	Time 0.190 (0.248)	Data 0.138 (0.184)	Loss 2.8852 (2.9628)	Prec@1 28.906 (30.992)	Prec@5 64.453 (60.088)
Epoch: [58][2730/7045]	Time 0.206 (0.248)	Data 0.155 (0.184)	Loss 2.9733 (2.9629)	Prec@1 32.422 (30.990)	Prec@5 61.328 (60.089)
Epoch: [58][2740/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 3.0611 (2.9632)	Prec@1 30.078 (30.985)	Prec@5 61.328 (60.085)
Epoch: [58][2750/7045]	Time 0.104 (0.248)	Data 0.052 (0.184)	Loss 2.9341 (2.9632)	Prec@1 30.078 (30.987)	Prec@5 62.109 (60.088)
Epoch: [58][2760/7045]	Time 0.297 (0.248)	Data 0.245 (0.184)	Loss 3.2850 (2.9632)	Prec@1 26.172 (30.984)	Prec@5 53.125 (60.087)
Epoch: [58][2770/7045]	Time 0.108 (0.248)	Data 0.001 (0.184)	Loss 3.0066 (2.9630)	Prec@1 28.906 (30.986)	Prec@5 56.641 (60.090)
Epoch: [58][2780/7045]	Time 0.423 (0.248)	Data 0.371 (0.184)	Loss 2.8807 (2.9629)	Prec@1 33.594 (30.986)	Prec@5 61.328 (60.094)
Epoch: [58][2790/7045]	Time 0.102 (0.248)	Data 0.004 (0.184)	Loss 2.8258 (2.9628)	Prec@1 31.641 (30.986)	Prec@5 64.844 (60.096)
Epoch: [58][2800/7045]	Time 0.306 (0.248)	Data 0.248 (0.184)	Loss 3.0361 (2.9625)	Prec@1 26.172 (30.988)	Prec@5 59.766 (60.103)
Epoch: [58][2810/7045]	Time 0.540 (0.248)	Data 0.488 (0.184)	Loss 2.9474 (2.9627)	Prec@1 26.562 (30.981)	Prec@5 61.719 (60.096)
Epoch: [58][2820/7045]	Time 0.102 (0.248)	Data 0.003 (0.184)	Loss 2.9643 (2.9628)	Prec@1 29.297 (30.979)	Prec@5 60.156 (60.090)
Epoch: [58][2830/7045]	Time 0.554 (0.248)	Data 0.503 (0.184)	Loss 3.0253 (2.9628)	Prec@1 26.953 (30.980)	Prec@5 58.984 (60.091)
Epoch: [58][2840/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 2.7121 (2.9628)	Prec@1 34.375 (30.980)	Prec@5 67.188 (60.092)
Epoch: [58][2850/7045]	Time 0.438 (0.248)	Data 0.387 (0.184)	Loss 3.0386 (2.9629)	Prec@1 28.516 (30.979)	Prec@5 55.859 (60.085)
Epoch: [58][2860/7045]	Time 0.108 (0.248)	Data 0.001 (0.184)	Loss 2.9055 (2.9629)	Prec@1 33.984 (30.974)	Prec@5 64.844 (60.083)
Epoch: [58][2870/7045]	Time 0.222 (0.248)	Data 0.171 (0.184)	Loss 2.8542 (2.9628)	Prec@1 33.984 (30.976)	Prec@5 64.844 (60.087)
Epoch: [58][2880/7045]	Time 0.102 (0.248)	Data 0.003 (0.184)	Loss 3.0041 (2.9629)	Prec@1 29.688 (30.977)	Prec@5 56.641 (60.082)
Epoch: [58][2890/7045]	Time 0.185 (0.248)	Data 0.134 (0.184)	Loss 3.0977 (2.9627)	Prec@1 28.125 (30.978)	Prec@5 55.859 (60.086)
Epoch: [58][2900/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 3.0867 (2.9627)	Prec@1 28.516 (30.976)	Prec@5 55.859 (60.086)
Epoch: [58][2910/7045]	Time 0.106 (0.248)	Data 0.054 (0.184)	Loss 2.9337 (2.9628)	Prec@1 32.812 (30.972)	Prec@5 60.156 (60.086)
Epoch: [58][2920/7045]	Time 0.439 (0.248)	Data 0.389 (0.184)	Loss 3.0719 (2.9629)	Prec@1 32.031 (30.974)	Prec@5 55.078 (60.084)
Epoch: [58][2930/7045]	Time 0.124 (0.248)	Data 0.072 (0.184)	Loss 2.7444 (2.9629)	Prec@1 36.328 (30.977)	Prec@5 64.062 (60.084)
Epoch: [58][2940/7045]	Time 0.192 (0.248)	Data 0.140 (0.184)	Loss 2.9813 (2.9628)	Prec@1 30.859 (30.982)	Prec@5 58.203 (60.083)
Epoch: [58][2950/7045]	Time 0.385 (0.248)	Data 0.335 (0.184)	Loss 3.0588 (2.9632)	Prec@1 27.734 (30.974)	Prec@5 58.203 (60.078)
Epoch: [58][2960/7045]	Time 0.190 (0.248)	Data 0.139 (0.184)	Loss 2.9070 (2.9635)	Prec@1 32.422 (30.966)	Prec@5 62.891 (60.074)
Epoch: [58][2970/7045]	Time 0.166 (0.248)	Data 0.116 (0.184)	Loss 2.9064 (2.9637)	Prec@1 33.594 (30.964)	Prec@5 58.203 (60.066)
Epoch: [58][2980/7045]	Time 0.103 (0.248)	Data 0.009 (0.184)	Loss 3.1158 (2.9637)	Prec@1 25.391 (30.963)	Prec@5 59.766 (60.066)
Epoch: [58][2990/7045]	Time 0.102 (0.248)	Data 0.012 (0.184)	Loss 2.9638 (2.9639)	Prec@1 30.469 (30.961)	Prec@5 60.547 (60.065)
Epoch: [58][3000/7045]	Time 0.239 (0.248)	Data 0.189 (0.184)	Loss 3.1115 (2.9638)	Prec@1 21.875 (30.956)	Prec@5 57.812 (60.066)
Epoch: [58][3010/7045]	Time 0.206 (0.248)	Data 0.155 (0.184)	Loss 3.0097 (2.9638)	Prec@1 31.641 (30.956)	Prec@5 60.938 (60.066)
Epoch: [58][3020/7045]	Time 0.420 (0.248)	Data 0.368 (0.184)	Loss 2.8980 (2.9640)	Prec@1 36.328 (30.955)	Prec@5 58.203 (60.059)
Epoch: [58][3030/7045]	Time 0.314 (0.248)	Data 0.255 (0.184)	Loss 2.9642 (2.9641)	Prec@1 28.906 (30.951)	Prec@5 62.500 (60.056)
Epoch: [58][3040/7045]	Time 0.261 (0.248)	Data 0.210 (0.184)	Loss 2.8030 (2.9641)	Prec@1 33.203 (30.953)	Prec@5 63.281 (60.055)
Epoch: [58][3050/7045]	Time 0.203 (0.248)	Data 0.152 (0.184)	Loss 2.9062 (2.9641)	Prec@1 34.766 (30.954)	Prec@5 60.547 (60.053)
Epoch: [58][3060/7045]	Time 0.111 (0.248)	Data 0.001 (0.184)	Loss 3.0338 (2.9642)	Prec@1 33.594 (30.953)	Prec@5 62.891 (60.055)
Epoch: [58][3070/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 3.0353 (2.9642)	Prec@1 32.422 (30.954)	Prec@5 58.203 (60.056)
Epoch: [58][3080/7045]	Time 0.355 (0.248)	Data 0.297 (0.184)	Loss 3.2748 (2.9644)	Prec@1 28.516 (30.952)	Prec@5 52.344 (60.052)
Epoch: [58][3090/7045]	Time 0.101 (0.248)	Data 0.048 (0.184)	Loss 3.0385 (2.9644)	Prec@1 31.250 (30.950)	Prec@5 58.984 (60.051)
Epoch: [58][3100/7045]	Time 0.528 (0.248)	Data 0.478 (0.185)	Loss 2.7589 (2.9644)	Prec@1 36.328 (30.949)	Prec@5 63.672 (60.054)
Epoch: [58][3110/7045]	Time 0.163 (0.248)	Data 0.112 (0.185)	Loss 2.8832 (2.9644)	Prec@1 29.297 (30.947)	Prec@5 62.109 (60.052)
Epoch: [58][3120/7045]	Time 0.383 (0.248)	Data 0.332 (0.185)	Loss 2.8614 (2.9645)	Prec@1 28.516 (30.938)	Prec@5 63.281 (60.053)
Epoch: [58][3130/7045]	Time 0.108 (0.248)	Data 0.001 (0.185)	Loss 2.8983 (2.9644)	Prec@1 30.469 (30.940)	Prec@5 60.156 (60.056)
Epoch: [58][3140/7045]	Time 0.373 (0.248)	Data 0.323 (0.185)	Loss 2.8230 (2.9645)	Prec@1 33.984 (30.938)	Prec@5 61.719 (60.055)
Epoch: [58][3150/7045]	Time 0.100 (0.248)	Data 0.046 (0.185)	Loss 2.9225 (2.9645)	Prec@1 32.422 (30.940)	Prec@5 58.984 (60.054)
Epoch: [58][3160/7045]	Time 0.100 (0.248)	Data 0.046 (0.185)	Loss 2.9723 (2.9647)	Prec@1 33.984 (30.938)	Prec@5 60.938 (60.052)
Epoch: [58][3170/7045]	Time 0.213 (0.248)	Data 0.162 (0.185)	Loss 3.1035 (2.9649)	Prec@1 25.000 (30.932)	Prec@5 58.203 (60.049)
Epoch: [58][3180/7045]	Time 0.601 (0.248)	Data 0.550 (0.185)	Loss 2.8783 (2.9649)	Prec@1 31.641 (30.932)	Prec@5 63.672 (60.053)
Epoch: [58][3190/7045]	Time 0.104 (0.248)	Data 0.052 (0.185)	Loss 3.0391 (2.9650)	Prec@1 29.297 (30.933)	Prec@5 54.688 (60.051)
Epoch: [58][3200/7045]	Time 0.463 (0.248)	Data 0.405 (0.185)	Loss 2.9392 (2.9650)	Prec@1 32.422 (30.933)	Prec@5 62.109 (60.052)
Epoch: [58][3210/7045]	Time 0.559 (0.248)	Data 0.509 (0.185)	Loss 3.0369 (2.9649)	Prec@1 31.641 (30.935)	Prec@5 57.031 (60.053)
Epoch: [58][3220/7045]	Time 0.106 (0.248)	Data 0.049 (0.185)	Loss 3.0072 (2.9650)	Prec@1 30.859 (30.934)	Prec@5 61.719 (60.053)
Epoch: [58][3230/7045]	Time 0.446 (0.248)	Data 0.396 (0.185)	Loss 2.8955 (2.9650)	Prec@1 34.766 (30.934)	Prec@5 61.328 (60.052)
Epoch: [58][3240/7045]	Time 0.121 (0.248)	Data 0.070 (0.185)	Loss 2.7914 (2.9650)	Prec@1 28.906 (30.932)	Prec@5 63.672 (60.051)
Epoch: [58][3250/7045]	Time 0.486 (0.248)	Data 0.426 (0.185)	Loss 3.1344 (2.9650)	Prec@1 25.781 (30.931)	Prec@5 55.078 (60.052)
Epoch: [58][3260/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 2.9998 (2.9651)	Prec@1 32.031 (30.931)	Prec@5 57.812 (60.051)
Epoch: [58][3270/7045]	Time 0.444 (0.248)	Data 0.392 (0.185)	Loss 3.2347 (2.9650)	Prec@1 28.516 (30.929)	Prec@5 56.641 (60.053)
Epoch: [58][3280/7045]	Time 0.186 (0.248)	Data 0.135 (0.185)	Loss 2.9412 (2.9651)	Prec@1 30.469 (30.927)	Prec@5 58.594 (60.049)
Epoch: [58][3290/7045]	Time 0.109 (0.248)	Data 0.006 (0.185)	Loss 3.0244 (2.9654)	Prec@1 22.266 (30.920)	Prec@5 59.766 (60.042)
Epoch: [58][3300/7045]	Time 0.649 (0.248)	Data 0.589 (0.185)	Loss 2.9378 (2.9653)	Prec@1 32.812 (30.921)	Prec@5 59.766 (60.045)
Epoch: [58][3310/7045]	Time 0.099 (0.248)	Data 0.001 (0.185)	Loss 3.0073 (2.9654)	Prec@1 28.906 (30.923)	Prec@5 59.375 (60.044)
Epoch: [58][3320/7045]	Time 0.486 (0.248)	Data 0.435 (0.185)	Loss 2.9489 (2.9654)	Prec@1 33.984 (30.923)	Prec@5 61.328 (60.047)
Epoch: [58][3330/7045]	Time 0.294 (0.248)	Data 0.243 (0.185)	Loss 2.9945 (2.9654)	Prec@1 30.469 (30.921)	Prec@5 60.938 (60.047)
Epoch: [58][3340/7045]	Time 0.261 (0.248)	Data 0.210 (0.185)	Loss 2.9457 (2.9655)	Prec@1 30.469 (30.920)	Prec@5 62.109 (60.047)
Epoch: [58][3350/7045]	Time 0.533 (0.248)	Data 0.483 (0.185)	Loss 2.8103 (2.9655)	Prec@1 35.156 (30.923)	Prec@5 62.500 (60.051)
Epoch: [58][3360/7045]	Time 0.143 (0.248)	Data 0.084 (0.185)	Loss 2.8547 (2.9654)	Prec@1 35.547 (30.926)	Prec@5 62.109 (60.054)
Epoch: [58][3370/7045]	Time 0.513 (0.248)	Data 0.463 (0.185)	Loss 2.9322 (2.9655)	Prec@1 31.250 (30.923)	Prec@5 59.766 (60.053)
Epoch: [58][3380/7045]	Time 0.196 (0.248)	Data 0.145 (0.185)	Loss 3.0893 (2.9655)	Prec@1 27.734 (30.921)	Prec@5 55.859 (60.052)
Epoch: [58][3390/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 2.9445 (2.9655)	Prec@1 30.469 (30.923)	Prec@5 60.938 (60.051)
Epoch: [58][3400/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 2.8566 (2.9652)	Prec@1 31.250 (30.928)	Prec@5 59.766 (60.055)
Epoch: [58][3410/7045]	Time 0.203 (0.248)	Data 0.150 (0.185)	Loss 2.9569 (2.9651)	Prec@1 33.594 (30.932)	Prec@5 60.547 (60.055)
Epoch: [58][3420/7045]	Time 0.157 (0.248)	Data 0.105 (0.185)	Loss 2.8496 (2.9652)	Prec@1 37.500 (30.931)	Prec@5 62.500 (60.056)
Epoch: [58][3430/7045]	Time 0.101 (0.248)	Data 0.001 (0.185)	Loss 2.9459 (2.9654)	Prec@1 30.078 (30.929)	Prec@5 59.766 (60.050)
Epoch: [58][3440/7045]	Time 0.331 (0.248)	Data 0.280 (0.185)	Loss 2.9137 (2.9653)	Prec@1 31.250 (30.926)	Prec@5 61.719 (60.051)
Epoch: [58][3450/7045]	Time 0.096 (0.248)	Data 0.001 (0.185)	Loss 2.9032 (2.9653)	Prec@1 33.594 (30.928)	Prec@5 63.281 (60.052)
Epoch: [58][3460/7045]	Time 0.588 (0.248)	Data 0.532 (0.185)	Loss 2.8756 (2.9654)	Prec@1 32.812 (30.926)	Prec@5 60.938 (60.048)
Epoch: [58][3470/7045]	Time 0.129 (0.248)	Data 0.072 (0.184)	Loss 3.0201 (2.9656)	Prec@1 28.125 (30.925)	Prec@5 57.422 (60.046)
Epoch: [58][3480/7045]	Time 0.364 (0.248)	Data 0.306 (0.185)	Loss 2.8227 (2.9655)	Prec@1 33.984 (30.924)	Prec@5 61.328 (60.049)
Epoch: [58][3490/7045]	Time 0.116 (0.248)	Data 0.065 (0.184)	Loss 2.8697 (2.9655)	Prec@1 32.031 (30.929)	Prec@5 64.844 (60.051)
Epoch: [58][3500/7045]	Time 0.108 (0.248)	Data 0.015 (0.185)	Loss 3.2424 (2.9657)	Prec@1 25.391 (30.930)	Prec@5 55.859 (60.047)
Epoch: [58][3510/7045]	Time 0.103 (0.248)	Data 0.051 (0.184)	Loss 2.9997 (2.9660)	Prec@1 30.078 (30.927)	Prec@5 60.156 (60.040)
Epoch: [58][3520/7045]	Time 0.131 (0.248)	Data 0.080 (0.184)	Loss 2.7537 (2.9660)	Prec@1 37.500 (30.927)	Prec@5 61.328 (60.041)
Epoch: [58][3530/7045]	Time 0.274 (0.248)	Data 0.222 (0.184)	Loss 2.9918 (2.9661)	Prec@1 30.469 (30.925)	Prec@5 58.984 (60.039)
Epoch: [58][3540/7045]	Time 0.102 (0.248)	Data 0.005 (0.184)	Loss 3.1484 (2.9663)	Prec@1 26.172 (30.922)	Prec@5 54.688 (60.036)
Epoch: [58][3550/7045]	Time 0.728 (0.248)	Data 0.675 (0.185)	Loss 2.7601 (2.9662)	Prec@1 34.375 (30.925)	Prec@5 68.750 (60.041)
Epoch: [58][3560/7045]	Time 0.102 (0.248)	Data 0.050 (0.184)	Loss 2.8427 (2.9664)	Prec@1 32.031 (30.921)	Prec@5 58.203 (60.034)
Epoch: [58][3570/7045]	Time 0.378 (0.248)	Data 0.326 (0.184)	Loss 2.9397 (2.9662)	Prec@1 30.078 (30.925)	Prec@5 62.500 (60.037)
Epoch: [58][3580/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 2.9625 (2.9663)	Prec@1 28.906 (30.923)	Prec@5 60.547 (60.037)
Epoch: [58][3590/7045]	Time 0.101 (0.248)	Data 0.010 (0.184)	Loss 3.1277 (2.9663)	Prec@1 31.250 (30.925)	Prec@5 58.594 (60.035)
Epoch: [58][3600/7045]	Time 0.103 (0.248)	Data 0.014 (0.184)	Loss 2.7876 (2.9662)	Prec@1 34.375 (30.926)	Prec@5 62.500 (60.038)
Epoch: [58][3610/7045]	Time 0.164 (0.248)	Data 0.105 (0.184)	Loss 2.8510 (2.9660)	Prec@1 29.297 (30.928)	Prec@5 60.938 (60.042)
Epoch: [58][3620/7045]	Time 0.253 (0.248)	Data 0.202 (0.184)	Loss 2.9471 (2.9662)	Prec@1 33.594 (30.922)	Prec@5 60.156 (60.039)
Epoch: [58][3630/7045]	Time 0.188 (0.248)	Data 0.137 (0.184)	Loss 2.8367 (2.9663)	Prec@1 34.375 (30.920)	Prec@5 62.109 (60.038)
Epoch: [58][3640/7045]	Time 0.558 (0.248)	Data 0.508 (0.184)	Loss 3.0612 (2.9664)	Prec@1 25.391 (30.919)	Prec@5 53.516 (60.034)
Epoch: [58][3650/7045]	Time 0.107 (0.248)	Data 0.055 (0.184)	Loss 2.9084 (2.9666)	Prec@1 33.984 (30.916)	Prec@5 61.328 (60.029)
Epoch: [58][3660/7045]	Time 0.460 (0.248)	Data 0.408 (0.184)	Loss 3.2194 (2.9669)	Prec@1 28.516 (30.913)	Prec@5 54.688 (60.023)
Epoch: [58][3670/7045]	Time 0.103 (0.248)	Data 0.005 (0.184)	Loss 2.6841 (2.9668)	Prec@1 40.234 (30.915)	Prec@5 64.844 (60.022)
Epoch: [58][3680/7045]	Time 0.277 (0.248)	Data 0.225 (0.184)	Loss 3.0913 (2.9668)	Prec@1 28.906 (30.918)	Prec@5 58.203 (60.024)
Epoch: [58][3690/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 2.8607 (2.9668)	Prec@1 31.641 (30.920)	Prec@5 61.719 (60.024)
Epoch: [58][3700/7045]	Time 0.379 (0.248)	Data 0.327 (0.184)	Loss 2.8904 (2.9668)	Prec@1 31.641 (30.919)	Prec@5 60.547 (60.020)
Epoch: [58][3710/7045]	Time 0.252 (0.248)	Data 0.200 (0.184)	Loss 3.3054 (2.9668)	Prec@1 27.344 (30.918)	Prec@5 52.734 (60.018)
Epoch: [58][3720/7045]	Time 0.421 (0.248)	Data 0.369 (0.184)	Loss 2.6807 (2.9668)	Prec@1 37.891 (30.917)	Prec@5 65.234 (60.017)
Epoch: [58][3730/7045]	Time 0.279 (0.248)	Data 0.229 (0.184)	Loss 2.8400 (2.9668)	Prec@1 32.422 (30.919)	Prec@5 64.844 (60.019)
Epoch: [58][3740/7045]	Time 0.135 (0.248)	Data 0.082 (0.184)	Loss 2.9803 (2.9670)	Prec@1 28.516 (30.913)	Prec@5 60.156 (60.015)
Epoch: [58][3750/7045]	Time 0.103 (0.248)	Data 0.001 (0.184)	Loss 3.2169 (2.9672)	Prec@1 25.391 (30.911)	Prec@5 57.812 (60.012)
Epoch: [58][3760/7045]	Time 0.107 (0.248)	Data 0.056 (0.184)	Loss 2.9112 (2.9671)	Prec@1 33.203 (30.911)	Prec@5 61.719 (60.013)
Epoch: [58][3770/7045]	Time 0.210 (0.248)	Data 0.159 (0.184)	Loss 2.9482 (2.9670)	Prec@1 30.469 (30.909)	Prec@5 60.547 (60.015)
Epoch: [58][3780/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 2.9079 (2.9669)	Prec@1 31.250 (30.913)	Prec@5 62.109 (60.022)
Epoch: [58][3790/7045]	Time 0.786 (0.248)	Data 0.734 (0.184)	Loss 3.1173 (2.9669)	Prec@1 29.297 (30.914)	Prec@5 57.031 (60.024)
Epoch: [58][3800/7045]	Time 0.101 (0.248)	Data 0.001 (0.184)	Loss 2.8069 (2.9669)	Prec@1 31.641 (30.914)	Prec@5 63.281 (60.025)
Epoch: [58][3810/7045]	Time 0.592 (0.248)	Data 0.533 (0.184)	Loss 2.8934 (2.9671)	Prec@1 29.688 (30.911)	Prec@5 62.891 (60.022)
Epoch: [58][3820/7045]	Time 0.102 (0.248)	Data 0.005 (0.184)	Loss 2.9537 (2.9672)	Prec@1 32.422 (30.908)	Prec@5 63.672 (60.020)
Epoch: [58][3830/7045]	Time 0.224 (0.248)	Data 0.173 (0.184)	Loss 3.2332 (2.9674)	Prec@1 31.250 (30.907)	Prec@5 52.344 (60.016)
Epoch: [58][3840/7045]	Time 0.106 (0.248)	Data 0.001 (0.184)	Loss 3.0185 (2.9676)	Prec@1 30.078 (30.908)	Prec@5 59.766 (60.012)
Epoch: [58][3850/7045]	Time 0.101 (0.248)	Data 0.001 (0.184)	Loss 3.1481 (2.9677)	Prec@1 25.781 (30.908)	Prec@5 54.688 (60.009)
Epoch: [58][3860/7045]	Time 0.520 (0.248)	Data 0.457 (0.184)	Loss 2.9915 (2.9677)	Prec@1 30.859 (30.910)	Prec@5 56.250 (60.010)
Epoch: [58][3870/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 3.1171 (2.9677)	Prec@1 30.078 (30.910)	Prec@5 57.812 (60.011)
Epoch: [58][3880/7045]	Time 0.212 (0.248)	Data 0.153 (0.184)	Loss 3.0744 (2.9678)	Prec@1 30.469 (30.910)	Prec@5 55.469 (60.009)
Epoch: [58][3890/7045]	Time 0.326 (0.248)	Data 0.274 (0.184)	Loss 3.0150 (2.9677)	Prec@1 28.125 (30.912)	Prec@5 60.547 (60.013)
Epoch: [58][3900/7045]	Time 0.109 (0.248)	Data 0.001 (0.184)	Loss 3.1251 (2.9677)	Prec@1 28.516 (30.911)	Prec@5 51.172 (60.013)
Epoch: [58][3910/7045]	Time 0.523 (0.248)	Data 0.471 (0.184)	Loss 3.0235 (2.9677)	Prec@1 31.641 (30.912)	Prec@5 59.766 (60.013)
Epoch: [58][3920/7045]	Time 0.110 (0.248)	Data 0.057 (0.184)	Loss 2.9439 (2.9679)	Prec@1 29.688 (30.908)	Prec@5 57.031 (60.007)
Epoch: [58][3930/7045]	Time 0.241 (0.248)	Data 0.191 (0.184)	Loss 3.2876 (2.9681)	Prec@1 26.562 (30.906)	Prec@5 54.688 (60.007)
Epoch: [58][3940/7045]	Time 0.102 (0.248)	Data 0.003 (0.184)	Loss 3.0388 (2.9681)	Prec@1 32.422 (30.906)	Prec@5 56.641 (60.004)
Epoch: [58][3950/7045]	Time 0.183 (0.248)	Data 0.132 (0.184)	Loss 2.8956 (2.9681)	Prec@1 30.859 (30.905)	Prec@5 63.281 (60.004)
Epoch: [58][3960/7045]	Time 0.424 (0.248)	Data 0.372 (0.184)	Loss 2.9900 (2.9682)	Prec@1 32.422 (30.905)	Prec@5 59.375 (60.002)
Epoch: [58][3970/7045]	Time 0.108 (0.248)	Data 0.001 (0.184)	Loss 2.9005 (2.9682)	Prec@1 29.688 (30.904)	Prec@5 65.234 (60.004)
Epoch: [58][3980/7045]	Time 0.471 (0.248)	Data 0.420 (0.184)	Loss 3.0223 (2.9682)	Prec@1 29.688 (30.901)	Prec@5 58.203 (60.007)
Epoch: [58][3990/7045]	Time 0.214 (0.248)	Data 0.163 (0.184)	Loss 2.6952 (2.9681)	Prec@1 37.109 (30.906)	Prec@5 67.188 (60.011)
Epoch: [58][4000/7045]	Time 0.102 (0.248)	Data 0.012 (0.184)	Loss 2.9397 (2.9682)	Prec@1 37.109 (30.906)	Prec@5 62.891 (60.012)
Epoch: [58][4010/7045]	Time 0.812 (0.248)	Data 0.761 (0.184)	Loss 2.9136 (2.9682)	Prec@1 33.984 (30.906)	Prec@5 61.719 (60.014)
Epoch: [58][4020/7045]	Time 0.350 (0.248)	Data 0.299 (0.184)	Loss 2.8843 (2.9681)	Prec@1 30.078 (30.906)	Prec@5 61.328 (60.016)
Epoch: [58][4030/7045]	Time 0.201 (0.248)	Data 0.150 (0.184)	Loss 3.0853 (2.9684)	Prec@1 30.078 (30.900)	Prec@5 55.078 (60.013)
Epoch: [58][4040/7045]	Time 0.446 (0.248)	Data 0.394 (0.184)	Loss 2.8793 (2.9682)	Prec@1 32.812 (30.898)	Prec@5 61.719 (60.017)
Epoch: [58][4050/7045]	Time 0.229 (0.248)	Data 0.179 (0.184)	Loss 2.9477 (2.9683)	Prec@1 34.766 (30.899)	Prec@5 62.109 (60.017)
Epoch: [58][4060/7045]	Time 0.280 (0.248)	Data 0.229 (0.184)	Loss 2.8048 (2.9684)	Prec@1 33.984 (30.898)	Prec@5 62.109 (60.016)
Epoch: [58][4070/7045]	Time 0.279 (0.248)	Data 0.229 (0.184)	Loss 3.0240 (2.9683)	Prec@1 30.078 (30.900)	Prec@5 57.031 (60.015)
Epoch: [58][4080/7045]	Time 0.156 (0.248)	Data 0.105 (0.184)	Loss 3.0953 (2.9684)	Prec@1 27.734 (30.900)	Prec@5 59.766 (60.015)
Epoch: [58][4090/7045]	Time 0.176 (0.248)	Data 0.125 (0.184)	Loss 2.9598 (2.9684)	Prec@1 32.812 (30.900)	Prec@5 62.500 (60.017)
Epoch: [58][4100/7045]	Time 0.102 (0.248)	Data 0.049 (0.184)	Loss 3.2285 (2.9684)	Prec@1 26.172 (30.898)	Prec@5 54.688 (60.015)
Epoch: [58][4110/7045]	Time 0.137 (0.248)	Data 0.084 (0.184)	Loss 2.9967 (2.9685)	Prec@1 30.078 (30.896)	Prec@5 54.688 (60.014)
Epoch: [58][4120/7045]	Time 0.297 (0.248)	Data 0.245 (0.184)	Loss 3.1551 (2.9685)	Prec@1 23.047 (30.892)	Prec@5 53.906 (60.010)
Epoch: [58][4130/7045]	Time 0.274 (0.248)	Data 0.223 (0.184)	Loss 2.9112 (2.9685)	Prec@1 30.469 (30.893)	Prec@5 61.328 (60.010)
Epoch: [58][4140/7045]	Time 0.110 (0.248)	Data 0.001 (0.184)	Loss 2.9518 (2.9685)	Prec@1 32.031 (30.893)	Prec@5 60.156 (60.009)
Epoch: [58][4150/7045]	Time 0.438 (0.248)	Data 0.387 (0.184)	Loss 3.0817 (2.9686)	Prec@1 32.422 (30.892)	Prec@5 59.375 (60.009)
Epoch: [58][4160/7045]	Time 0.233 (0.248)	Data 0.173 (0.184)	Loss 3.0844 (2.9687)	Prec@1 28.125 (30.893)	Prec@5 60.547 (60.007)
Epoch: [58][4170/7045]	Time 0.163 (0.248)	Data 0.111 (0.184)	Loss 3.0348 (2.9687)	Prec@1 29.688 (30.894)	Prec@5 58.984 (60.005)
Epoch: [58][4180/7045]	Time 0.153 (0.248)	Data 0.103 (0.184)	Loss 3.0556 (2.9688)	Prec@1 31.250 (30.893)	Prec@5 57.031 (60.002)
Epoch: [58][4190/7045]	Time 0.252 (0.248)	Data 0.202 (0.184)	Loss 3.0413 (2.9687)	Prec@1 26.953 (30.894)	Prec@5 56.641 (60.002)
Epoch: [58][4200/7045]	Time 0.107 (0.248)	Data 0.056 (0.184)	Loss 2.7751 (2.9685)	Prec@1 36.328 (30.897)	Prec@5 64.062 (60.006)
Epoch: [58][4210/7045]	Time 0.217 (0.248)	Data 0.167 (0.184)	Loss 3.1081 (2.9686)	Prec@1 27.344 (30.897)	Prec@5 57.422 (60.004)
Epoch: [58][4220/7045]	Time 0.248 (0.248)	Data 0.198 (0.184)	Loss 2.9226 (2.9685)	Prec@1 28.906 (30.899)	Prec@5 59.375 (60.008)
Epoch: [58][4230/7045]	Time 0.170 (0.248)	Data 0.119 (0.184)	Loss 2.7513 (2.9684)	Prec@1 40.234 (30.903)	Prec@5 64.453 (60.014)
Epoch: [58][4240/7045]	Time 0.398 (0.248)	Data 0.348 (0.184)	Loss 2.9263 (2.9682)	Prec@1 33.984 (30.903)	Prec@5 57.422 (60.016)
Epoch: [58][4250/7045]	Time 0.387 (0.248)	Data 0.336 (0.184)	Loss 2.9703 (2.9684)	Prec@1 32.422 (30.901)	Prec@5 61.328 (60.014)
Epoch: [58][4260/7045]	Time 0.314 (0.248)	Data 0.264 (0.184)	Loss 2.9889 (2.9684)	Prec@1 27.734 (30.903)	Prec@5 59.766 (60.016)
Epoch: [58][4270/7045]	Time 0.200 (0.248)	Data 0.150 (0.184)	Loss 3.0050 (2.9683)	Prec@1 30.078 (30.905)	Prec@5 57.812 (60.014)
Epoch: [58][4280/7045]	Time 0.105 (0.248)	Data 0.053 (0.184)	Loss 2.8682 (2.9683)	Prec@1 30.469 (30.903)	Prec@5 64.453 (60.015)
Epoch: [58][4290/7045]	Time 0.218 (0.248)	Data 0.166 (0.184)	Loss 3.1237 (2.9684)	Prec@1 24.609 (30.900)	Prec@5 56.250 (60.012)
Epoch: [58][4300/7045]	Time 0.126 (0.248)	Data 0.075 (0.184)	Loss 2.8703 (2.9684)	Prec@1 33.594 (30.901)	Prec@5 58.984 (60.008)
Epoch: [58][4310/7045]	Time 0.226 (0.248)	Data 0.175 (0.184)	Loss 2.7900 (2.9683)	Prec@1 31.250 (30.901)	Prec@5 63.281 (60.010)
Epoch: [58][4320/7045]	Time 0.595 (0.248)	Data 0.544 (0.184)	Loss 3.0849 (2.9684)	Prec@1 26.562 (30.900)	Prec@5 55.859 (60.009)
Epoch: [58][4330/7045]	Time 0.102 (0.248)	Data 0.011 (0.184)	Loss 2.8499 (2.9685)	Prec@1 30.078 (30.895)	Prec@5 64.062 (60.006)
Epoch: [58][4340/7045]	Time 0.477 (0.248)	Data 0.427 (0.184)	Loss 2.9609 (2.9685)	Prec@1 28.125 (30.895)	Prec@5 59.766 (60.008)
Epoch: [58][4350/7045]	Time 0.133 (0.248)	Data 0.081 (0.184)	Loss 3.1166 (2.9686)	Prec@1 25.781 (30.888)	Prec@5 60.156 (60.005)
Epoch: [58][4360/7045]	Time 0.415 (0.248)	Data 0.364 (0.184)	Loss 3.1324 (2.9688)	Prec@1 28.516 (30.885)	Prec@5 54.688 (60.001)
Epoch: [58][4370/7045]	Time 0.125 (0.248)	Data 0.074 (0.184)	Loss 2.7389 (2.9686)	Prec@1 35.938 (30.887)	Prec@5 67.578 (60.006)
Epoch: [58][4380/7045]	Time 0.175 (0.248)	Data 0.123 (0.184)	Loss 2.8960 (2.9686)	Prec@1 30.078 (30.887)	Prec@5 62.109 (60.007)
Epoch: [58][4390/7045]	Time 0.102 (0.248)	Data 0.012 (0.184)	Loss 3.0967 (2.9688)	Prec@1 27.344 (30.885)	Prec@5 55.469 (60.004)
Epoch: [58][4400/7045]	Time 0.103 (0.248)	Data 0.009 (0.184)	Loss 2.8320 (2.9686)	Prec@1 32.422 (30.887)	Prec@5 62.109 (60.008)
Epoch: [58][4410/7045]	Time 0.166 (0.248)	Data 0.115 (0.184)	Loss 2.9093 (2.9687)	Prec@1 33.984 (30.888)	Prec@5 60.547 (60.004)
Epoch: [58][4420/7045]	Time 0.435 (0.248)	Data 0.383 (0.184)	Loss 3.0081 (2.9687)	Prec@1 25.000 (30.887)	Prec@5 59.766 (60.005)
Epoch: [58][4430/7045]	Time 0.111 (0.248)	Data 0.010 (0.184)	Loss 2.9975 (2.9688)	Prec@1 25.391 (30.884)	Prec@5 61.719 (60.001)
Epoch: [58][4440/7045]	Time 0.374 (0.248)	Data 0.322 (0.184)	Loss 2.8873 (2.9688)	Prec@1 32.812 (30.883)	Prec@5 60.547 (60.000)
Epoch: [58][4450/7045]	Time 0.108 (0.248)	Data 0.056 (0.184)	Loss 2.7780 (2.9688)	Prec@1 35.938 (30.881)	Prec@5 62.891 (59.998)
Epoch: [58][4460/7045]	Time 0.242 (0.248)	Data 0.191 (0.184)	Loss 2.9336 (2.9688)	Prec@1 30.078 (30.882)	Prec@5 58.984 (59.999)
Epoch: [58][4470/7045]	Time 0.105 (0.248)	Data 0.054 (0.184)	Loss 2.9288 (2.9687)	Prec@1 33.203 (30.881)	Prec@5 64.453 (60.002)
Epoch: [58][4480/7045]	Time 0.393 (0.248)	Data 0.342 (0.184)	Loss 2.9180 (2.9688)	Prec@1 31.641 (30.882)	Prec@5 61.328 (60.004)
Epoch: [58][4490/7045]	Time 0.103 (0.248)	Data 0.012 (0.184)	Loss 2.9330 (2.9689)	Prec@1 27.734 (30.880)	Prec@5 60.938 (60.001)
Epoch: [58][4500/7045]	Time 0.335 (0.248)	Data 0.285 (0.184)	Loss 2.7641 (2.9688)	Prec@1 37.500 (30.883)	Prec@5 66.406 (60.003)
Epoch: [58][4510/7045]	Time 0.102 (0.248)	Data 0.050 (0.184)	Loss 3.0171 (2.9689)	Prec@1 28.906 (30.884)	Prec@5 59.766 (60.001)
Epoch: [58][4520/7045]	Time 0.207 (0.248)	Data 0.155 (0.184)	Loss 2.8970 (2.9689)	Prec@1 31.641 (30.882)	Prec@5 60.547 (59.999)
Epoch: [58][4530/7045]	Time 0.103 (0.248)	Data 0.001 (0.184)	Loss 3.0187 (2.9688)	Prec@1 27.344 (30.884)	Prec@5 60.156 (60.002)
Epoch: [58][4540/7045]	Time 0.608 (0.248)	Data 0.556 (0.184)	Loss 3.1109 (2.9688)	Prec@1 29.297 (30.886)	Prec@5 61.719 (60.004)
Epoch: [58][4550/7045]	Time 0.111 (0.248)	Data 0.019 (0.184)	Loss 2.8657 (2.9688)	Prec@1 30.078 (30.886)	Prec@5 58.984 (60.004)
Epoch: [58][4560/7045]	Time 0.412 (0.248)	Data 0.360 (0.184)	Loss 2.8316 (2.9688)	Prec@1 34.375 (30.887)	Prec@5 60.156 (60.005)
Epoch: [58][4570/7045]	Time 0.101 (0.248)	Data 0.008 (0.184)	Loss 3.0666 (2.9689)	Prec@1 27.734 (30.885)	Prec@5 58.984 (60.002)
Epoch: [58][4580/7045]	Time 0.101 (0.248)	Data 0.009 (0.184)	Loss 3.0465 (2.9688)	Prec@1 28.906 (30.887)	Prec@5 54.688 (60.003)
Epoch: [58][4590/7045]	Time 0.398 (0.248)	Data 0.339 (0.184)	Loss 2.8913 (2.9686)	Prec@1 34.766 (30.891)	Prec@5 62.109 (60.007)
Epoch: [58][4600/7045]	Time 0.167 (0.248)	Data 0.116 (0.184)	Loss 2.8902 (2.9686)	Prec@1 31.641 (30.891)	Prec@5 59.375 (60.006)
Epoch: [58][4610/7045]	Time 0.480 (0.248)	Data 0.429 (0.184)	Loss 3.1130 (2.9688)	Prec@1 29.688 (30.888)	Prec@5 55.469 (60.004)
Epoch: [58][4620/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 3.2909 (2.9688)	Prec@1 30.078 (30.888)	Prec@5 57.031 (60.004)
Epoch: [58][4630/7045]	Time 0.435 (0.248)	Data 0.384 (0.184)	Loss 2.9983 (2.9689)	Prec@1 32.422 (30.888)	Prec@5 57.812 (60.003)
Epoch: [58][4640/7045]	Time 0.118 (0.248)	Data 0.066 (0.184)	Loss 3.0423 (2.9690)	Prec@1 31.250 (30.884)	Prec@5 60.547 (59.999)
Epoch: [58][4650/7045]	Time 0.600 (0.248)	Data 0.549 (0.184)	Loss 2.9879 (2.9692)	Prec@1 28.516 (30.880)	Prec@5 60.938 (59.995)
Epoch: [58][4660/7045]	Time 0.102 (0.248)	Data 0.002 (0.184)	Loss 2.8356 (2.9692)	Prec@1 34.375 (30.882)	Prec@5 61.719 (59.997)
Epoch: [58][4670/7045]	Time 0.727 (0.248)	Data 0.676 (0.184)	Loss 3.3231 (2.9693)	Prec@1 27.734 (30.880)	Prec@5 53.125 (59.996)
Epoch: [58][4680/7045]	Time 0.104 (0.248)	Data 0.051 (0.184)	Loss 2.9553 (2.9695)	Prec@1 33.594 (30.878)	Prec@5 60.156 (59.993)
Epoch: [58][4690/7045]	Time 0.320 (0.248)	Data 0.270 (0.184)	Loss 3.2608 (2.9697)	Prec@1 25.391 (30.875)	Prec@5 49.609 (59.989)
Epoch: [58][4700/7045]	Time 0.190 (0.248)	Data 0.139 (0.184)	Loss 2.9121 (2.9695)	Prec@1 34.375 (30.875)	Prec@5 63.281 (59.993)
Epoch: [58][4710/7045]	Time 0.102 (0.248)	Data 0.050 (0.184)	Loss 2.7603 (2.9694)	Prec@1 32.422 (30.876)	Prec@5 63.672 (59.997)
Epoch: [58][4720/7045]	Time 0.181 (0.248)	Data 0.130 (0.184)	Loss 2.8529 (2.9695)	Prec@1 32.031 (30.875)	Prec@5 64.453 (59.995)
Epoch: [58][4730/7045]	Time 0.470 (0.248)	Data 0.418 (0.184)	Loss 3.2251 (2.9696)	Prec@1 25.000 (30.875)	Prec@5 57.422 (59.993)
Epoch: [58][4740/7045]	Time 0.243 (0.248)	Data 0.191 (0.184)	Loss 3.0337 (2.9696)	Prec@1 26.953 (30.872)	Prec@5 58.984 (59.992)
Epoch: [58][4750/7045]	Time 0.435 (0.248)	Data 0.383 (0.184)	Loss 2.8530 (2.9696)	Prec@1 34.766 (30.874)	Prec@5 59.375 (59.993)
Epoch: [58][4760/7045]	Time 0.103 (0.248)	Data 0.052 (0.184)	Loss 3.0156 (2.9696)	Prec@1 29.297 (30.873)	Prec@5 58.984 (59.992)
Epoch: [58][4770/7045]	Time 0.515 (0.248)	Data 0.456 (0.184)	Loss 3.1889 (2.9699)	Prec@1 27.344 (30.870)	Prec@5 53.516 (59.986)
Epoch: [58][4780/7045]	Time 0.276 (0.248)	Data 0.224 (0.184)	Loss 3.1381 (2.9699)	Prec@1 25.000 (30.868)	Prec@5 54.297 (59.986)
Epoch: [58][4790/7045]	Time 0.371 (0.248)	Data 0.318 (0.184)	Loss 2.8437 (2.9698)	Prec@1 32.422 (30.868)	Prec@5 66.016 (59.990)
Epoch: [58][4800/7045]	Time 0.400 (0.248)	Data 0.348 (0.184)	Loss 2.9959 (2.9699)	Prec@1 32.812 (30.869)	Prec@5 60.938 (59.987)
Epoch: [58][4810/7045]	Time 0.199 (0.248)	Data 0.149 (0.184)	Loss 2.8423 (2.9700)	Prec@1 33.594 (30.867)	Prec@5 64.453 (59.985)
Epoch: [58][4820/7045]	Time 0.120 (0.248)	Data 0.068 (0.184)	Loss 2.9473 (2.9700)	Prec@1 32.031 (30.867)	Prec@5 60.547 (59.984)
Epoch: [58][4830/7045]	Time 0.107 (0.248)	Data 0.055 (0.184)	Loss 3.1659 (2.9701)	Prec@1 29.688 (30.866)	Prec@5 58.203 (59.982)
Epoch: [58][4840/7045]	Time 0.100 (0.248)	Data 0.001 (0.184)	Loss 2.9518 (2.9701)	Prec@1 31.250 (30.867)	Prec@5 57.812 (59.982)
Epoch: [58][4850/7045]	Time 0.101 (0.248)	Data 0.005 (0.184)	Loss 3.1101 (2.9701)	Prec@1 33.203 (30.867)	Prec@5 58.984 (59.980)
Epoch: [58][4860/7045]	Time 0.181 (0.248)	Data 0.129 (0.184)	Loss 3.0292 (2.9701)	Prec@1 36.328 (30.870)	Prec@5 58.984 (59.980)
Epoch: [58][4870/7045]	Time 0.172 (0.248)	Data 0.121 (0.184)	Loss 3.2430 (2.9704)	Prec@1 23.438 (30.867)	Prec@5 55.859 (59.974)
Epoch: [58][4880/7045]	Time 0.101 (0.248)	Data 0.001 (0.184)	Loss 2.8589 (2.9705)	Prec@1 36.719 (30.864)	Prec@5 63.281 (59.974)
Epoch: [58][4890/7045]	Time 0.109 (0.248)	Data 0.001 (0.184)	Loss 2.9265 (2.9704)	Prec@1 28.125 (30.864)	Prec@5 59.375 (59.976)
Epoch: [58][4900/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 3.0339 (2.9703)	Prec@1 31.250 (30.865)	Prec@5 57.031 (59.977)
Epoch: [58][4910/7045]	Time 0.336 (0.248)	Data 0.286 (0.184)	Loss 2.9528 (2.9704)	Prec@1 34.766 (30.866)	Prec@5 61.719 (59.976)
Epoch: [58][4920/7045]	Time 0.366 (0.248)	Data 0.314 (0.184)	Loss 3.2129 (2.9705)	Prec@1 27.344 (30.865)	Prec@5 57.812 (59.975)
Epoch: [58][4930/7045]	Time 0.209 (0.248)	Data 0.151 (0.184)	Loss 3.0712 (2.9705)	Prec@1 29.297 (30.861)	Prec@5 57.812 (59.976)
Epoch: [58][4940/7045]	Time 0.453 (0.248)	Data 0.402 (0.184)	Loss 2.8362 (2.9705)	Prec@1 35.547 (30.862)	Prec@5 62.500 (59.976)
Epoch: [58][4950/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 3.0559 (2.9705)	Prec@1 26.172 (30.858)	Prec@5 59.766 (59.975)
Epoch: [58][4960/7045]	Time 0.314 (0.248)	Data 0.263 (0.184)	Loss 3.1983 (2.9706)	Prec@1 26.953 (30.856)	Prec@5 55.469 (59.972)
Epoch: [58][4970/7045]	Time 0.105 (0.248)	Data 0.053 (0.184)	Loss 3.0620 (2.9707)	Prec@1 32.031 (30.857)	Prec@5 58.984 (59.972)
Epoch: [58][4980/7045]	Time 0.102 (0.248)	Data 0.006 (0.184)	Loss 3.0240 (2.9708)	Prec@1 28.906 (30.855)	Prec@5 60.156 (59.970)
Epoch: [58][4990/7045]	Time 0.101 (0.248)	Data 0.009 (0.184)	Loss 2.8658 (2.9708)	Prec@1 34.375 (30.855)	Prec@5 58.203 (59.971)
Epoch: [58][5000/7045]	Time 0.351 (0.248)	Data 0.300 (0.184)	Loss 2.9538 (2.9707)	Prec@1 30.859 (30.857)	Prec@5 60.938 (59.974)
Epoch: [58][5010/7045]	Time 0.307 (0.248)	Data 0.246 (0.184)	Loss 3.1521 (2.9707)	Prec@1 29.297 (30.857)	Prec@5 55.859 (59.976)
Epoch: [58][5020/7045]	Time 0.288 (0.248)	Data 0.237 (0.184)	Loss 2.7694 (2.9709)	Prec@1 32.812 (30.852)	Prec@5 66.406 (59.973)
Epoch: [58][5030/7045]	Time 0.315 (0.248)	Data 0.264 (0.184)	Loss 3.0287 (2.9710)	Prec@1 29.297 (30.848)	Prec@5 57.031 (59.973)
Epoch: [58][5040/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 3.0241 (2.9710)	Prec@1 30.859 (30.847)	Prec@5 59.375 (59.972)
Epoch: [58][5050/7045]	Time 0.424 (0.248)	Data 0.373 (0.184)	Loss 2.7815 (2.9711)	Prec@1 35.938 (30.847)	Prec@5 63.672 (59.970)
Epoch: [58][5060/7045]	Time 0.101 (0.248)	Data 0.011 (0.184)	Loss 3.0182 (2.9711)	Prec@1 32.422 (30.846)	Prec@5 57.031 (59.967)
Epoch: [58][5070/7045]	Time 0.171 (0.248)	Data 0.121 (0.184)	Loss 3.1428 (2.9711)	Prec@1 30.859 (30.847)	Prec@5 57.812 (59.967)
Epoch: [58][5080/7045]	Time 0.155 (0.248)	Data 0.104 (0.184)	Loss 2.9147 (2.9712)	Prec@1 31.250 (30.847)	Prec@5 59.766 (59.964)
Epoch: [58][5090/7045]	Time 0.215 (0.248)	Data 0.164 (0.184)	Loss 2.9734 (2.9712)	Prec@1 29.688 (30.847)	Prec@5 54.688 (59.962)
Epoch: [58][5100/7045]	Time 0.109 (0.248)	Data 0.002 (0.184)	Loss 3.0705 (2.9713)	Prec@1 28.125 (30.845)	Prec@5 55.078 (59.959)
Epoch: [58][5110/7045]	Time 0.430 (0.248)	Data 0.379 (0.184)	Loss 2.8036 (2.9711)	Prec@1 29.688 (30.846)	Prec@5 63.672 (59.963)
Epoch: [58][5120/7045]	Time 0.103 (0.248)	Data 0.004 (0.184)	Loss 3.0249 (2.9711)	Prec@1 30.859 (30.844)	Prec@5 57.812 (59.963)
Epoch: [58][5130/7045]	Time 0.776 (0.248)	Data 0.725 (0.184)	Loss 3.1135 (2.9711)	Prec@1 27.734 (30.846)	Prec@5 55.859 (59.963)
Epoch: [58][5140/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 3.0672 (2.9711)	Prec@1 28.516 (30.845)	Prec@5 58.203 (59.963)
Epoch: [58][5150/7045]	Time 0.646 (0.248)	Data 0.594 (0.184)	Loss 3.1753 (2.9712)	Prec@1 28.906 (30.844)	Prec@5 57.422 (59.961)
Epoch: [58][5160/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 3.0079 (2.9713)	Prec@1 35.156 (30.842)	Prec@5 59.375 (59.961)
Epoch: [58][5170/7045]	Time 0.356 (0.248)	Data 0.305 (0.184)	Loss 2.9012 (2.9713)	Prec@1 32.812 (30.841)	Prec@5 62.891 (59.961)
Epoch: [58][5180/7045]	Time 0.101 (0.248)	Data 0.001 (0.184)	Loss 3.0744 (2.9714)	Prec@1 32.031 (30.841)	Prec@5 57.812 (59.961)
Epoch: [58][5190/7045]	Time 0.108 (0.248)	Data 0.007 (0.184)	Loss 3.1009 (2.9713)	Prec@1 26.953 (30.841)	Prec@5 57.031 (59.963)
Epoch: [58][5200/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 2.8906 (2.9714)	Prec@1 33.203 (30.840)	Prec@5 58.594 (59.963)
Epoch: [58][5210/7045]	Time 0.101 (0.248)	Data 0.002 (0.184)	Loss 2.7787 (2.9714)	Prec@1 34.375 (30.840)	Prec@5 61.328 (59.963)
Epoch: [58][5220/7045]	Time 0.322 (0.248)	Data 0.271 (0.184)	Loss 3.0825 (2.9715)	Prec@1 28.125 (30.837)	Prec@5 56.641 (59.961)
Epoch: [58][5230/7045]	Time 0.100 (0.248)	Data 0.001 (0.184)	Loss 2.9159 (2.9715)	Prec@1 30.469 (30.834)	Prec@5 61.719 (59.960)
Epoch: [58][5240/7045]	Time 0.453 (0.248)	Data 0.403 (0.184)	Loss 2.9871 (2.9715)	Prec@1 34.375 (30.836)	Prec@5 61.719 (59.962)
Epoch: [58][5250/7045]	Time 0.105 (0.248)	Data 0.054 (0.184)	Loss 2.9499 (2.9715)	Prec@1 28.516 (30.836)	Prec@5 60.938 (59.962)
Epoch: [58][5260/7045]	Time 0.782 (0.248)	Data 0.731 (0.184)	Loss 2.7957 (2.9714)	Prec@1 33.594 (30.838)	Prec@5 62.891 (59.963)
Epoch: [58][5270/7045]	Time 0.101 (0.248)	Data 0.003 (0.184)	Loss 2.9525 (2.9713)	Prec@1 28.125 (30.841)	Prec@5 63.281 (59.964)
Epoch: [58][5280/7045]	Time 0.496 (0.248)	Data 0.437 (0.184)	Loss 2.9606 (2.9712)	Prec@1 28.125 (30.839)	Prec@5 64.062 (59.965)
Epoch: [58][5290/7045]	Time 0.159 (0.248)	Data 0.109 (0.184)	Loss 2.7643 (2.9712)	Prec@1 36.328 (30.838)	Prec@5 65.625 (59.965)
Epoch: [58][5300/7045]	Time 0.283 (0.248)	Data 0.232 (0.184)	Loss 3.0115 (2.9711)	Prec@1 32.812 (30.839)	Prec@5 56.641 (59.965)
Epoch: [58][5310/7045]	Time 0.378 (0.248)	Data 0.326 (0.184)	Loss 2.9763 (2.9711)	Prec@1 27.344 (30.838)	Prec@5 57.812 (59.965)
Epoch: [58][5320/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 2.8706 (2.9710)	Prec@1 31.641 (30.838)	Prec@5 62.109 (59.966)
Epoch: [58][5330/7045]	Time 0.559 (0.248)	Data 0.509 (0.184)	Loss 2.9467 (2.9710)	Prec@1 28.516 (30.838)	Prec@5 58.203 (59.964)
Epoch: [58][5340/7045]	Time 0.099 (0.248)	Data 0.001 (0.184)	Loss 3.0085 (2.9711)	Prec@1 33.203 (30.839)	Prec@5 60.938 (59.965)
Epoch: [58][5350/7045]	Time 0.556 (0.248)	Data 0.504 (0.184)	Loss 3.0973 (2.9712)	Prec@1 25.000 (30.837)	Prec@5 60.547 (59.964)
Epoch: [58][5360/7045]	Time 0.281 (0.248)	Data 0.229 (0.184)	Loss 2.8521 (2.9711)	Prec@1 32.031 (30.836)	Prec@5 63.672 (59.965)
Epoch: [58][5370/7045]	Time 0.271 (0.248)	Data 0.220 (0.184)	Loss 2.9709 (2.9712)	Prec@1 27.734 (30.837)	Prec@5 60.547 (59.964)
Epoch: [58][5380/7045]	Time 0.653 (0.248)	Data 0.595 (0.184)	Loss 2.9926 (2.9712)	Prec@1 30.859 (30.837)	Prec@5 61.328 (59.963)
Epoch: [58][5390/7045]	Time 0.109 (0.248)	Data 0.001 (0.184)	Loss 2.7531 (2.9713)	Prec@1 32.812 (30.836)	Prec@5 61.719 (59.962)
Epoch: [58][5400/7045]	Time 0.431 (0.248)	Data 0.381 (0.184)	Loss 3.0572 (2.9713)	Prec@1 31.250 (30.837)	Prec@5 59.766 (59.963)
Epoch: [58][5410/7045]	Time 0.313 (0.248)	Data 0.261 (0.184)	Loss 3.0636 (2.9712)	Prec@1 32.031 (30.838)	Prec@5 57.031 (59.963)
Epoch: [58][5420/7045]	Time 0.449 (0.247)	Data 0.399 (0.183)	Loss 3.0843 (2.9713)	Prec@1 29.688 (30.836)	Prec@5 56.641 (59.959)
Epoch: [58][5430/7045]	Time 0.389 (0.247)	Data 0.338 (0.183)	Loss 3.2502 (2.9713)	Prec@1 27.734 (30.835)	Prec@5 57.422 (59.961)
Epoch: [58][5440/7045]	Time 0.390 (0.247)	Data 0.339 (0.183)	Loss 3.1511 (2.9714)	Prec@1 28.125 (30.835)	Prec@5 60.156 (59.960)
Epoch: [58][5450/7045]	Time 0.379 (0.247)	Data 0.328 (0.183)	Loss 2.8944 (2.9714)	Prec@1 35.938 (30.837)	Prec@5 57.812 (59.959)
Epoch: [58][5460/7045]	Time 0.102 (0.247)	Data 0.006 (0.183)	Loss 3.0483 (2.9714)	Prec@1 26.953 (30.835)	Prec@5 55.078 (59.957)
Epoch: [58][5470/7045]	Time 0.107 (0.247)	Data 0.054 (0.183)	Loss 3.0973 (2.9715)	Prec@1 28.906 (30.835)	Prec@5 58.203 (59.956)
Epoch: [58][5480/7045]	Time 0.414 (0.247)	Data 0.362 (0.183)	Loss 3.0617 (2.9715)	Prec@1 29.297 (30.835)	Prec@5 58.203 (59.955)
Epoch: [58][5490/7045]	Time 0.465 (0.247)	Data 0.412 (0.183)	Loss 2.9099 (2.9715)	Prec@1 29.297 (30.834)	Prec@5 60.547 (59.954)
Epoch: [58][5500/7045]	Time 0.271 (0.247)	Data 0.220 (0.183)	Loss 2.8000 (2.9717)	Prec@1 35.547 (30.830)	Prec@5 64.844 (59.951)
Epoch: [58][5510/7045]	Time 0.307 (0.247)	Data 0.256 (0.183)	Loss 3.0528 (2.9717)	Prec@1 29.297 (30.831)	Prec@5 56.250 (59.949)
Epoch: [58][5520/7045]	Time 0.110 (0.247)	Data 0.002 (0.183)	Loss 2.9906 (2.9718)	Prec@1 30.859 (30.831)	Prec@5 60.156 (59.950)
Epoch: [58][5530/7045]	Time 0.102 (0.247)	Data 0.049 (0.183)	Loss 3.1591 (2.9719)	Prec@1 28.516 (30.830)	Prec@5 58.594 (59.952)
Epoch: [58][5540/7045]	Time 0.100 (0.247)	Data 0.001 (0.183)	Loss 3.0268 (2.9720)	Prec@1 28.125 (30.828)	Prec@5 60.547 (59.950)
Epoch: [58][5550/7045]	Time 0.559 (0.247)	Data 0.507 (0.183)	Loss 2.9501 (2.9720)	Prec@1 28.125 (30.827)	Prec@5 59.766 (59.952)
Epoch: [58][5560/7045]	Time 0.109 (0.247)	Data 0.057 (0.183)	Loss 2.9723 (2.9721)	Prec@1 30.859 (30.824)	Prec@5 60.547 (59.950)
Epoch: [58][5570/7045]	Time 0.496 (0.247)	Data 0.445 (0.183)	Loss 3.0715 (2.9721)	Prec@1 28.906 (30.825)	Prec@5 59.766 (59.950)
Epoch: [58][5580/7045]	Time 0.197 (0.247)	Data 0.146 (0.183)	Loss 3.0356 (2.9722)	Prec@1 32.422 (30.824)	Prec@5 60.547 (59.948)
Epoch: [58][5590/7045]	Time 0.162 (0.247)	Data 0.110 (0.183)	Loss 3.0409 (2.9721)	Prec@1 32.422 (30.825)	Prec@5 58.203 (59.949)
Epoch: [58][5600/7045]	Time 0.102 (0.247)	Data 0.050 (0.183)	Loss 2.9837 (2.9722)	Prec@1 34.766 (30.824)	Prec@5 61.719 (59.951)
Epoch: [58][5610/7045]	Time 0.102 (0.247)	Data 0.003 (0.183)	Loss 3.0092 (2.9722)	Prec@1 30.469 (30.823)	Prec@5 58.594 (59.950)
Epoch: [58][5620/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 3.0478 (2.9721)	Prec@1 30.078 (30.822)	Prec@5 58.594 (59.951)
Epoch: [58][5630/7045]	Time 0.103 (0.247)	Data 0.001 (0.183)	Loss 3.1739 (2.9723)	Prec@1 25.000 (30.819)	Prec@5 56.250 (59.947)
Epoch: [58][5640/7045]	Time 0.230 (0.247)	Data 0.179 (0.183)	Loss 3.0005 (2.9723)	Prec@1 27.344 (30.817)	Prec@5 57.422 (59.948)
Epoch: [58][5650/7045]	Time 0.101 (0.247)	Data 0.006 (0.183)	Loss 2.9474 (2.9723)	Prec@1 32.422 (30.819)	Prec@5 58.984 (59.949)
Epoch: [58][5660/7045]	Time 0.172 (0.247)	Data 0.121 (0.183)	Loss 2.8019 (2.9722)	Prec@1 33.594 (30.822)	Prec@5 65.234 (59.949)
Epoch: [58][5670/7045]	Time 0.268 (0.247)	Data 0.212 (0.183)	Loss 2.8931 (2.9722)	Prec@1 33.203 (30.821)	Prec@5 57.422 (59.948)
Epoch: [58][5680/7045]	Time 0.666 (0.247)	Data 0.615 (0.183)	Loss 3.1206 (2.9722)	Prec@1 30.078 (30.821)	Prec@5 57.422 (59.950)
Epoch: [58][5690/7045]	Time 0.128 (0.247)	Data 0.077 (0.183)	Loss 2.9110 (2.9722)	Prec@1 28.516 (30.820)	Prec@5 62.500 (59.950)
Epoch: [58][5700/7045]	Time 0.423 (0.247)	Data 0.373 (0.183)	Loss 3.2461 (2.9723)	Prec@1 22.266 (30.816)	Prec@5 57.812 (59.948)
Epoch: [58][5710/7045]	Time 0.110 (0.247)	Data 0.001 (0.183)	Loss 3.0144 (2.9723)	Prec@1 29.297 (30.816)	Prec@5 61.719 (59.949)
Epoch: [58][5720/7045]	Time 0.211 (0.247)	Data 0.160 (0.183)	Loss 2.8616 (2.9723)	Prec@1 32.031 (30.816)	Prec@5 58.984 (59.948)
Epoch: [58][5730/7045]	Time 0.559 (0.247)	Data 0.508 (0.183)	Loss 3.0545 (2.9724)	Prec@1 30.078 (30.816)	Prec@5 55.859 (59.946)
Epoch: [58][5740/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 2.9891 (2.9724)	Prec@1 28.516 (30.816)	Prec@5 56.250 (59.948)
Epoch: [58][5750/7045]	Time 0.555 (0.247)	Data 0.504 (0.183)	Loss 2.8627 (2.9723)	Prec@1 33.984 (30.815)	Prec@5 59.375 (59.948)
Epoch: [58][5760/7045]	Time 0.106 (0.247)	Data 0.048 (0.183)	Loss 2.8707 (2.9723)	Prec@1 30.078 (30.817)	Prec@5 62.500 (59.948)
Epoch: [58][5770/7045]	Time 0.356 (0.247)	Data 0.304 (0.183)	Loss 3.0378 (2.9723)	Prec@1 30.859 (30.817)	Prec@5 57.422 (59.948)
Epoch: [58][5780/7045]	Time 0.102 (0.247)	Data 0.045 (0.183)	Loss 2.7357 (2.9723)	Prec@1 36.719 (30.814)	Prec@5 63.281 (59.947)
Epoch: [58][5790/7045]	Time 0.102 (0.247)	Data 0.050 (0.183)	Loss 2.8332 (2.9723)	Prec@1 30.469 (30.814)	Prec@5 59.766 (59.945)
Epoch: [58][5800/7045]	Time 0.107 (0.247)	Data 0.055 (0.183)	Loss 3.1483 (2.9724)	Prec@1 27.344 (30.812)	Prec@5 56.641 (59.943)
Epoch: [58][5810/7045]	Time 0.167 (0.247)	Data 0.116 (0.183)	Loss 3.0441 (2.9725)	Prec@1 29.297 (30.810)	Prec@5 58.594 (59.943)
Epoch: [58][5820/7045]	Time 0.102 (0.247)	Data 0.050 (0.183)	Loss 3.0064 (2.9725)	Prec@1 27.734 (30.806)	Prec@5 60.156 (59.944)
Epoch: [58][5830/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 3.1363 (2.9726)	Prec@1 31.250 (30.804)	Prec@5 58.594 (59.943)
Epoch: [58][5840/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 3.1120 (2.9727)	Prec@1 28.906 (30.804)	Prec@5 55.469 (59.944)
Epoch: [58][5850/7045]	Time 0.099 (0.247)	Data 0.047 (0.183)	Loss 3.0608 (2.9728)	Prec@1 27.734 (30.799)	Prec@5 55.469 (59.940)
Epoch: [58][5860/7045]	Time 0.336 (0.247)	Data 0.284 (0.183)	Loss 2.9127 (2.9729)	Prec@1 32.812 (30.797)	Prec@5 60.938 (59.941)
Epoch: [58][5870/7045]	Time 0.115 (0.247)	Data 0.055 (0.183)	Loss 2.9853 (2.9729)	Prec@1 30.859 (30.798)	Prec@5 62.109 (59.941)
Epoch: [58][5880/7045]	Time 0.633 (0.247)	Data 0.577 (0.183)	Loss 3.0245 (2.9730)	Prec@1 30.859 (30.798)	Prec@5 58.984 (59.942)
Epoch: [58][5890/7045]	Time 0.103 (0.247)	Data 0.001 (0.183)	Loss 2.7882 (2.9728)	Prec@1 31.250 (30.799)	Prec@5 61.719 (59.944)
Epoch: [58][5900/7045]	Time 0.576 (0.247)	Data 0.519 (0.183)	Loss 2.7916 (2.9727)	Prec@1 28.516 (30.801)	Prec@5 62.500 (59.946)
Epoch: [58][5910/7045]	Time 0.245 (0.247)	Data 0.194 (0.183)	Loss 2.9658 (2.9728)	Prec@1 35.547 (30.801)	Prec@5 60.547 (59.945)
Epoch: [58][5920/7045]	Time 0.544 (0.247)	Data 0.493 (0.183)	Loss 3.0464 (2.9728)	Prec@1 25.000 (30.798)	Prec@5 57.812 (59.943)
Epoch: [58][5930/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 2.9838 (2.9728)	Prec@1 34.375 (30.799)	Prec@5 62.500 (59.943)
Epoch: [58][5940/7045]	Time 0.193 (0.247)	Data 0.141 (0.183)	Loss 2.9857 (2.9728)	Prec@1 29.297 (30.798)	Prec@5 59.766 (59.942)
Epoch: [58][5950/7045]	Time 0.101 (0.247)	Data 0.004 (0.183)	Loss 2.9372 (2.9730)	Prec@1 31.250 (30.797)	Prec@5 58.203 (59.940)
Epoch: [58][5960/7045]	Time 0.208 (0.247)	Data 0.155 (0.183)	Loss 2.9539 (2.9730)	Prec@1 33.984 (30.796)	Prec@5 58.594 (59.939)
Epoch: [58][5970/7045]	Time 0.102 (0.247)	Data 0.014 (0.183)	Loss 2.9018 (2.9730)	Prec@1 28.125 (30.796)	Prec@5 62.109 (59.940)
Epoch: [58][5980/7045]	Time 0.163 (0.247)	Data 0.104 (0.183)	Loss 3.0041 (2.9729)	Prec@1 29.688 (30.799)	Prec@5 62.109 (59.943)
Epoch: [58][5990/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 2.9993 (2.9728)	Prec@1 32.812 (30.802)	Prec@5 59.375 (59.944)
Epoch: [58][6000/7045]	Time 0.149 (0.247)	Data 0.097 (0.183)	Loss 3.0163 (2.9729)	Prec@1 30.859 (30.801)	Prec@5 58.984 (59.943)
Epoch: [58][6010/7045]	Time 0.109 (0.247)	Data 0.057 (0.183)	Loss 3.0515 (2.9729)	Prec@1 28.125 (30.802)	Prec@5 59.766 (59.944)
Epoch: [58][6020/7045]	Time 0.109 (0.247)	Data 0.052 (0.183)	Loss 2.8471 (2.9729)	Prec@1 32.031 (30.802)	Prec@5 62.500 (59.942)
Epoch: [58][6030/7045]	Time 0.326 (0.247)	Data 0.274 (0.183)	Loss 3.0281 (2.9731)	Prec@1 27.344 (30.799)	Prec@5 60.156 (59.940)
Epoch: [58][6040/7045]	Time 0.103 (0.247)	Data 0.052 (0.183)	Loss 2.9968 (2.9731)	Prec@1 31.641 (30.799)	Prec@5 61.328 (59.939)
Epoch: [58][6050/7045]	Time 0.392 (0.247)	Data 0.340 (0.183)	Loss 2.9798 (2.9731)	Prec@1 28.906 (30.797)	Prec@5 60.156 (59.937)
Epoch: [58][6060/7045]	Time 0.102 (0.247)	Data 0.011 (0.183)	Loss 3.1973 (2.9732)	Prec@1 28.906 (30.796)	Prec@5 57.812 (59.938)
Epoch: [58][6070/7045]	Time 0.530 (0.247)	Data 0.479 (0.183)	Loss 3.1001 (2.9731)	Prec@1 27.344 (30.798)	Prec@5 57.812 (59.939)
Epoch: [58][6080/7045]	Time 0.100 (0.247)	Data 0.010 (0.183)	Loss 2.9438 (2.9733)	Prec@1 32.812 (30.797)	Prec@5 58.203 (59.936)
Epoch: [58][6090/7045]	Time 0.438 (0.247)	Data 0.387 (0.183)	Loss 3.0164 (2.9733)	Prec@1 32.031 (30.797)	Prec@5 57.031 (59.936)
Epoch: [58][6100/7045]	Time 0.102 (0.247)	Data 0.049 (0.183)	Loss 3.0233 (2.9733)	Prec@1 32.422 (30.795)	Prec@5 61.328 (59.936)
Epoch: [58][6110/7045]	Time 0.111 (0.247)	Data 0.001 (0.183)	Loss 2.9547 (2.9734)	Prec@1 29.688 (30.793)	Prec@5 60.547 (59.936)
Epoch: [58][6120/7045]	Time 0.105 (0.247)	Data 0.001 (0.183)	Loss 2.8677 (2.9734)	Prec@1 32.812 (30.794)	Prec@5 65.625 (59.938)
Epoch: [58][6130/7045]	Time 0.102 (0.247)	Data 0.007 (0.183)	Loss 3.0569 (2.9733)	Prec@1 25.000 (30.794)	Prec@5 60.938 (59.939)
Epoch: [58][6140/7045]	Time 0.603 (0.247)	Data 0.551 (0.183)	Loss 2.8284 (2.9731)	Prec@1 33.984 (30.796)	Prec@5 60.547 (59.941)
Epoch: [58][6150/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 3.0329 (2.9732)	Prec@1 27.734 (30.795)	Prec@5 57.812 (59.940)
Epoch: [58][6160/7045]	Time 0.522 (0.247)	Data 0.464 (0.183)	Loss 3.1249 (2.9732)	Prec@1 28.125 (30.794)	Prec@5 57.031 (59.938)
Epoch: [58][6170/7045]	Time 0.290 (0.247)	Data 0.239 (0.183)	Loss 2.7849 (2.9732)	Prec@1 33.984 (30.795)	Prec@5 62.891 (59.940)
Epoch: [58][6180/7045]	Time 0.103 (0.247)	Data 0.001 (0.183)	Loss 3.0167 (2.9731)	Prec@1 30.469 (30.798)	Prec@5 59.375 (59.941)
Epoch: [58][6190/7045]	Time 0.207 (0.247)	Data 0.155 (0.183)	Loss 2.7255 (2.9732)	Prec@1 33.594 (30.797)	Prec@5 63.281 (59.939)
Epoch: [58][6200/7045]	Time 0.129 (0.247)	Data 0.077 (0.183)	Loss 2.9594 (2.9732)	Prec@1 30.469 (30.797)	Prec@5 61.328 (59.938)
Epoch: [58][6210/7045]	Time 0.319 (0.247)	Data 0.269 (0.183)	Loss 3.0560 (2.9734)	Prec@1 32.031 (30.794)	Prec@5 60.938 (59.936)
Epoch: [58][6220/7045]	Time 0.103 (0.247)	Data 0.001 (0.183)	Loss 2.8571 (2.9734)	Prec@1 29.297 (30.794)	Prec@5 59.375 (59.935)
Epoch: [58][6230/7045]	Time 0.436 (0.247)	Data 0.385 (0.183)	Loss 2.9539 (2.9733)	Prec@1 29.297 (30.793)	Prec@5 59.375 (59.936)
Epoch: [58][6240/7045]	Time 0.411 (0.247)	Data 0.359 (0.183)	Loss 2.8991 (2.9732)	Prec@1 32.812 (30.793)	Prec@5 61.328 (59.937)
Epoch: [58][6250/7045]	Time 0.349 (0.247)	Data 0.298 (0.183)	Loss 3.0453 (2.9732)	Prec@1 29.297 (30.795)	Prec@5 59.766 (59.938)
Epoch: [58][6260/7045]	Time 0.304 (0.247)	Data 0.253 (0.183)	Loss 3.0683 (2.9732)	Prec@1 29.297 (30.794)	Prec@5 53.906 (59.937)
Epoch: [58][6270/7045]	Time 0.213 (0.247)	Data 0.162 (0.183)	Loss 3.0013 (2.9733)	Prec@1 28.125 (30.792)	Prec@5 60.938 (59.935)
Epoch: [58][6280/7045]	Time 0.341 (0.247)	Data 0.290 (0.183)	Loss 3.1861 (2.9733)	Prec@1 25.391 (30.790)	Prec@5 54.297 (59.934)
Epoch: [58][6290/7045]	Time 0.139 (0.247)	Data 0.087 (0.183)	Loss 2.8968 (2.9733)	Prec@1 32.812 (30.790)	Prec@5 61.719 (59.934)
Epoch: [58][6300/7045]	Time 0.645 (0.247)	Data 0.586 (0.183)	Loss 3.1570 (2.9734)	Prec@1 28.125 (30.788)	Prec@5 55.469 (59.933)
Epoch: [58][6310/7045]	Time 0.230 (0.247)	Data 0.179 (0.183)	Loss 2.8938 (2.9735)	Prec@1 30.859 (30.787)	Prec@5 57.422 (59.930)
Epoch: [58][6320/7045]	Time 0.119 (0.247)	Data 0.068 (0.183)	Loss 2.8432 (2.9734)	Prec@1 34.375 (30.788)	Prec@5 61.719 (59.932)
Epoch: [58][6330/7045]	Time 0.103 (0.247)	Data 0.001 (0.183)	Loss 3.2936 (2.9736)	Prec@1 26.562 (30.786)	Prec@5 56.641 (59.929)
Epoch: [58][6340/7045]	Time 0.264 (0.247)	Data 0.214 (0.183)	Loss 2.8912 (2.9736)	Prec@1 33.594 (30.785)	Prec@5 63.672 (59.930)
Epoch: [58][6350/7045]	Time 0.344 (0.247)	Data 0.293 (0.183)	Loss 2.8304 (2.9736)	Prec@1 31.641 (30.784)	Prec@5 62.891 (59.929)
Epoch: [58][6360/7045]	Time 0.103 (0.247)	Data 0.006 (0.183)	Loss 2.9273 (2.9736)	Prec@1 33.594 (30.785)	Prec@5 58.594 (59.930)
Epoch: [58][6370/7045]	Time 0.560 (0.247)	Data 0.511 (0.183)	Loss 2.8814 (2.9735)	Prec@1 28.125 (30.786)	Prec@5 63.281 (59.930)
Epoch: [58][6380/7045]	Time 0.101 (0.247)	Data 0.001 (0.183)	Loss 2.8702 (2.9735)	Prec@1 30.859 (30.787)	Prec@5 63.672 (59.931)
Epoch: [58][6390/7045]	Time 0.455 (0.247)	Data 0.405 (0.183)	Loss 3.1331 (2.9735)	Prec@1 30.859 (30.786)	Prec@5 57.031 (59.931)
Epoch: [58][6400/7045]	Time 0.103 (0.247)	Data 0.049 (0.183)	Loss 3.1309 (2.9735)	Prec@1 29.688 (30.789)	Prec@5 58.203 (59.930)
Epoch: [58][6410/7045]	Time 0.564 (0.247)	Data 0.513 (0.183)	Loss 3.1347 (2.9736)	Prec@1 28.516 (30.785)	Prec@5 58.984 (59.929)
Epoch: [58][6420/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 3.0087 (2.9735)	Prec@1 30.469 (30.786)	Prec@5 60.547 (59.931)
Epoch: [58][6430/7045]	Time 0.107 (0.247)	Data 0.011 (0.183)	Loss 2.9827 (2.9735)	Prec@1 29.688 (30.790)	Prec@5 59.766 (59.932)
Epoch: [58][6440/7045]	Time 0.106 (0.247)	Data 0.001 (0.183)	Loss 3.3222 (2.9735)	Prec@1 26.953 (30.788)	Prec@5 53.906 (59.931)
Epoch: [58][6450/7045]	Time 0.107 (0.247)	Data 0.021 (0.183)	Loss 3.0549 (2.9736)	Prec@1 31.250 (30.786)	Prec@5 61.328 (59.931)
Epoch: [58][6460/7045]	Time 0.101 (0.247)	Data 0.002 (0.183)	Loss 3.2361 (2.9737)	Prec@1 27.734 (30.786)	Prec@5 53.516 (59.928)
Epoch: [58][6470/7045]	Time 0.112 (0.247)	Data 0.053 (0.183)	Loss 2.9734 (2.9737)	Prec@1 26.172 (30.785)	Prec@5 59.766 (59.926)
Epoch: [58][6480/7045]	Time 0.109 (0.247)	Data 0.057 (0.183)	Loss 2.9843 (2.9738)	Prec@1 32.422 (30.784)	Prec@5 60.547 (59.926)
Epoch: [58][6490/7045]	Time 0.259 (0.247)	Data 0.201 (0.183)	Loss 3.0030 (2.9738)	Prec@1 33.984 (30.787)	Prec@5 62.109 (59.926)
Epoch: [58][6500/7045]	Time 0.101 (0.247)	Data 0.012 (0.183)	Loss 3.0076 (2.9738)	Prec@1 32.422 (30.786)	Prec@5 63.281 (59.924)
Epoch: [58][6510/7045]	Time 0.289 (0.247)	Data 0.239 (0.183)	Loss 3.1065 (2.9739)	Prec@1 28.516 (30.786)	Prec@5 55.469 (59.924)
Epoch: [58][6520/7045]	Time 0.101 (0.247)	Data 0.001 (0.183)	Loss 2.7770 (2.9739)	Prec@1 31.250 (30.785)	Prec@5 64.062 (59.923)
Epoch: [58][6530/7045]	Time 0.144 (0.247)	Data 0.092 (0.183)	Loss 3.0284 (2.9739)	Prec@1 30.469 (30.786)	Prec@5 57.812 (59.921)
Epoch: [58][6540/7045]	Time 0.189 (0.247)	Data 0.137 (0.183)	Loss 2.8588 (2.9739)	Prec@1 34.375 (30.785)	Prec@5 63.281 (59.923)
Epoch: [58][6550/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 2.8882 (2.9739)	Prec@1 35.156 (30.784)	Prec@5 60.156 (59.923)
Epoch: [58][6560/7045]	Time 0.390 (0.247)	Data 0.339 (0.183)	Loss 3.0721 (2.9739)	Prec@1 25.781 (30.783)	Prec@5 56.641 (59.923)
Epoch: [58][6570/7045]	Time 0.248 (0.247)	Data 0.191 (0.183)	Loss 2.8769 (2.9738)	Prec@1 33.984 (30.783)	Prec@5 59.375 (59.924)
Epoch: [58][6580/7045]	Time 0.159 (0.247)	Data 0.108 (0.183)	Loss 2.9436 (2.9738)	Prec@1 32.422 (30.784)	Prec@5 57.031 (59.924)
Epoch: [58][6590/7045]	Time 0.101 (0.247)	Data 0.009 (0.183)	Loss 2.9459 (2.9738)	Prec@1 29.297 (30.783)	Prec@5 62.109 (59.923)
Epoch: [58][6600/7045]	Time 0.110 (0.247)	Data 0.058 (0.183)	Loss 2.8327 (2.9738)	Prec@1 32.031 (30.784)	Prec@5 60.547 (59.924)
Epoch: [58][6610/7045]	Time 0.173 (0.247)	Data 0.123 (0.183)	Loss 2.7976 (2.9737)	Prec@1 33.984 (30.787)	Prec@5 64.844 (59.925)
Epoch: [58][6620/7045]	Time 0.523 (0.247)	Data 0.472 (0.183)	Loss 2.9719 (2.9737)	Prec@1 28.125 (30.787)	Prec@5 62.891 (59.926)
Epoch: [58][6630/7045]	Time 0.101 (0.247)	Data 0.001 (0.183)	Loss 3.1247 (2.9738)	Prec@1 30.859 (30.786)	Prec@5 60.547 (59.925)
Epoch: [58][6640/7045]	Time 0.712 (0.247)	Data 0.654 (0.183)	Loss 2.8344 (2.9737)	Prec@1 33.594 (30.786)	Prec@5 62.109 (59.928)
Epoch: [58][6650/7045]	Time 0.157 (0.247)	Data 0.106 (0.183)	Loss 3.0882 (2.9736)	Prec@1 30.078 (30.786)	Prec@5 57.812 (59.928)
Epoch: [58][6660/7045]	Time 0.324 (0.247)	Data 0.274 (0.183)	Loss 2.8785 (2.9737)	Prec@1 30.469 (30.785)	Prec@5 63.672 (59.928)
Epoch: [58][6670/7045]	Time 0.100 (0.247)	Data 0.045 (0.183)	Loss 3.1519 (2.9737)	Prec@1 26.172 (30.784)	Prec@5 54.297 (59.926)
Epoch: [58][6680/7045]	Time 0.110 (0.247)	Data 0.058 (0.183)	Loss 3.0741 (2.9737)	Prec@1 33.594 (30.784)	Prec@5 59.766 (59.926)
Epoch: [58][6690/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 2.9463 (2.9738)	Prec@1 29.688 (30.782)	Prec@5 62.500 (59.925)
Epoch: [58][6700/7045]	Time 0.481 (0.247)	Data 0.429 (0.183)	Loss 3.1002 (2.9737)	Prec@1 31.641 (30.785)	Prec@5 60.547 (59.926)
Epoch: [58][6710/7045]	Time 0.101 (0.247)	Data 0.001 (0.183)	Loss 2.8881 (2.9738)	Prec@1 35.156 (30.785)	Prec@5 60.547 (59.926)
Epoch: [58][6720/7045]	Time 0.530 (0.247)	Data 0.479 (0.183)	Loss 2.7600 (2.9737)	Prec@1 34.375 (30.786)	Prec@5 66.406 (59.927)
Epoch: [58][6730/7045]	Time 0.151 (0.247)	Data 0.101 (0.183)	Loss 2.8165 (2.9737)	Prec@1 34.766 (30.787)	Prec@5 62.500 (59.928)
Epoch: [58][6740/7045]	Time 0.347 (0.247)	Data 0.296 (0.183)	Loss 3.0907 (2.9737)	Prec@1 30.078 (30.788)	Prec@5 58.594 (59.928)
Epoch: [58][6750/7045]	Time 0.108 (0.247)	Data 0.057 (0.183)	Loss 2.9535 (2.9738)	Prec@1 32.031 (30.786)	Prec@5 58.203 (59.927)
Epoch: [58][6760/7045]	Time 0.152 (0.247)	Data 0.102 (0.183)	Loss 2.9756 (2.9738)	Prec@1 32.422 (30.786)	Prec@5 62.109 (59.928)
Epoch: [58][6770/7045]	Time 0.149 (0.247)	Data 0.097 (0.183)	Loss 2.9101 (2.9738)	Prec@1 33.203 (30.787)	Prec@5 62.891 (59.928)
Epoch: [58][6780/7045]	Time 0.170 (0.247)	Data 0.119 (0.183)	Loss 3.0538 (2.9738)	Prec@1 30.078 (30.788)	Prec@5 58.594 (59.929)
Epoch: [58][6790/7045]	Time 0.107 (0.247)	Data 0.054 (0.183)	Loss 3.0373 (2.9737)	Prec@1 27.734 (30.789)	Prec@5 57.031 (59.929)
Epoch: [58][6800/7045]	Time 0.112 (0.247)	Data 0.022 (0.183)	Loss 2.8052 (2.9737)	Prec@1 31.641 (30.789)	Prec@5 64.062 (59.931)
Epoch: [58][6810/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 2.7756 (2.9738)	Prec@1 35.938 (30.790)	Prec@5 63.672 (59.931)
Epoch: [58][6820/7045]	Time 0.326 (0.247)	Data 0.275 (0.183)	Loss 3.0439 (2.9738)	Prec@1 30.469 (30.789)	Prec@5 55.469 (59.929)
Epoch: [58][6830/7045]	Time 0.102 (0.247)	Data 0.017 (0.183)	Loss 3.0315 (2.9737)	Prec@1 31.641 (30.792)	Prec@5 58.203 (59.930)
Epoch: [58][6840/7045]	Time 0.144 (0.247)	Data 0.094 (0.183)	Loss 2.9429 (2.9736)	Prec@1 28.125 (30.792)	Prec@5 59.375 (59.929)
Epoch: [58][6850/7045]	Time 0.124 (0.247)	Data 0.072 (0.183)	Loss 2.9160 (2.9737)	Prec@1 32.422 (30.793)	Prec@5 59.375 (59.927)
Epoch: [58][6860/7045]	Time 0.101 (0.247)	Data 0.048 (0.183)	Loss 2.8728 (2.9737)	Prec@1 34.375 (30.792)	Prec@5 64.844 (59.929)
Epoch: [58][6870/7045]	Time 0.263 (0.247)	Data 0.212 (0.183)	Loss 2.9125 (2.9736)	Prec@1 34.375 (30.792)	Prec@5 62.891 (59.929)
Epoch: [58][6880/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 3.0776 (2.9736)	Prec@1 28.906 (30.792)	Prec@5 57.812 (59.930)
Epoch: [58][6890/7045]	Time 0.361 (0.247)	Data 0.310 (0.183)	Loss 2.8940 (2.9736)	Prec@1 29.297 (30.791)	Prec@5 59.375 (59.930)
Epoch: [58][6900/7045]	Time 0.191 (0.247)	Data 0.141 (0.183)	Loss 3.0061 (2.9737)	Prec@1 30.469 (30.791)	Prec@5 60.156 (59.928)
Epoch: [58][6910/7045]	Time 0.109 (0.247)	Data 0.001 (0.183)	Loss 3.0440 (2.9737)	Prec@1 31.641 (30.790)	Prec@5 57.422 (59.928)
Epoch: [58][6920/7045]	Time 0.143 (0.247)	Data 0.092 (0.183)	Loss 3.2243 (2.9737)	Prec@1 25.000 (30.789)	Prec@5 56.250 (59.928)
Epoch: [58][6930/7045]	Time 0.266 (0.247)	Data 0.214 (0.183)	Loss 3.0271 (2.9738)	Prec@1 28.516 (30.786)	Prec@5 57.422 (59.926)
Epoch: [58][6940/7045]	Time 0.101 (0.247)	Data 0.009 (0.183)	Loss 2.9137 (2.9739)	Prec@1 31.250 (30.784)	Prec@5 59.375 (59.924)
Epoch: [58][6950/7045]	Time 0.180 (0.247)	Data 0.128 (0.183)	Loss 2.7151 (2.9739)	Prec@1 38.672 (30.784)	Prec@5 65.234 (59.923)
Epoch: [58][6960/7045]	Time 0.474 (0.247)	Data 0.423 (0.183)	Loss 2.9612 (2.9740)	Prec@1 28.516 (30.782)	Prec@5 60.938 (59.924)
Epoch: [58][6970/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 2.9645 (2.9740)	Prec@1 30.078 (30.782)	Prec@5 59.766 (59.924)
Epoch: [58][6980/7045]	Time 0.644 (0.247)	Data 0.592 (0.183)	Loss 3.1130 (2.9740)	Prec@1 26.953 (30.780)	Prec@5 57.812 (59.922)
Epoch: [58][6990/7045]	Time 0.196 (0.247)	Data 0.145 (0.183)	Loss 3.1728 (2.9742)	Prec@1 29.688 (30.778)	Prec@5 55.469 (59.919)
Epoch: [58][7000/7045]	Time 0.108 (0.247)	Data 0.014 (0.183)	Loss 3.1360 (2.9743)	Prec@1 27.734 (30.776)	Prec@5 53.906 (59.916)
Epoch: [58][7010/7045]	Time 0.521 (0.247)	Data 0.470 (0.183)	Loss 2.9973 (2.9743)	Prec@1 32.422 (30.775)	Prec@5 58.203 (59.914)
Epoch: [58][7020/7045]	Time 0.109 (0.247)	Data 0.001 (0.183)	Loss 3.1414 (2.9744)	Prec@1 25.781 (30.775)	Prec@5 53.516 (59.914)
Epoch: [58][7030/7045]	Time 0.640 (0.248)	Data 0.588 (0.183)	Loss 3.0741 (2.9745)	Prec@1 27.734 (30.773)	Prec@5 56.250 (59.912)
Epoch: [58][7040/7045]	Time 0.112 (0.247)	Data 0.060 (0.183)	Loss 2.9565 (2.9746)	Prec@1 34.375 (30.773)	Prec@5 65.234 (59.911)
Test: [0/143]	Time 1.214 (1.214)	Loss 2.5252 (2.5252)	Prec@1 42.969 (42.969)	Prec@5 67.578 (67.578)
Test: [10/143]	Time 0.156 (0.253)	Loss 2.0803 (2.3106)	Prec@1 49.609 (44.567)	Prec@5 77.734 (72.834)
Test: [20/143]	Time 0.443 (0.224)	Loss 2.4881 (2.3252)	Prec@1 40.625 (42.764)	Prec@5 70.312 (72.972)
Test: [30/143]	Time 0.059 (0.202)	Loss 2.6992 (2.3720)	Prec@1 37.891 (42.616)	Prec@5 64.453 (72.215)
Test: [40/143]	Time 0.165 (0.198)	Loss 3.1020 (2.3905)	Prec@1 19.141 (42.092)	Prec@5 60.938 (71.761)
Test: [50/143]	Time 0.053 (0.189)	Loss 2.1703 (2.4271)	Prec@1 37.109 (40.372)	Prec@5 80.859 (71.461)
Test: [60/143]	Time 0.062 (0.191)	Loss 2.5677 (2.4189)	Prec@1 35.156 (40.529)	Prec@5 69.922 (71.612)
Test: [70/143]	Time 0.048 (0.187)	Loss 3.2186 (2.4149)	Prec@1 23.047 (40.757)	Prec@5 55.078 (71.710)
Test: [80/143]	Time 0.065 (0.185)	Loss 2.1503 (2.4188)	Prec@1 45.703 (40.582)	Prec@5 76.562 (71.677)
Test: [90/143]	Time 0.171 (0.182)	Loss 2.2296 (2.4153)	Prec@1 40.234 (40.488)	Prec@5 81.641 (71.708)
Test: [100/143]	Time 0.106 (0.182)	Loss 2.3260 (2.4152)	Prec@1 44.531 (40.331)	Prec@5 80.859 (71.960)
Test: [110/143]	Time 0.589 (0.183)	Loss 2.1478 (2.4098)	Prec@1 48.047 (40.537)	Prec@5 73.438 (72.044)
Test: [120/143]	Time 0.261 (0.181)	Loss 2.0770 (2.3926)	Prec@1 50.000 (41.077)	Prec@5 78.125 (72.317)
Test: [130/143]	Time 0.304 (0.180)	Loss 1.8135 (2.4033)	Prec@1 59.766 (40.968)	Prec@5 78.125 (71.994)
Test: [140/143]	Time 0.065 (0.178)	Loss 3.3046 (2.4284)	Prec@1 23.047 (40.378)	Prec@5 53.125 (71.484)
 * Prec@1 40.389 Prec@5 71.493
Epoch: [59][0/7045]	Time 2.423 (2.423)	Data 2.350 (2.350)	Loss 3.0162 (3.0162)	Prec@1 30.469 (30.469)	Prec@5 62.109 (62.109)
Epoch: [59][10/7045]	Time 0.103 (0.440)	Data 0.001 (0.363)	Loss 2.9147 (2.9675)	Prec@1 28.906 (30.362)	Prec@5 61.328 (59.837)
Epoch: [59][20/7045]	Time 0.571 (0.364)	Data 0.520 (0.291)	Loss 2.8252 (2.9620)	Prec@1 32.812 (30.246)	Prec@5 60.938 (60.007)
Epoch: [59][30/7045]	Time 0.119 (0.328)	Data 0.068 (0.259)	Loss 2.8622 (2.9476)	Prec@1 34.375 (30.796)	Prec@5 61.719 (60.320)
Epoch: [59][40/7045]	Time 0.133 (0.306)	Data 0.081 (0.238)	Loss 3.0037 (2.9456)	Prec@1 29.688 (30.869)	Prec@5 59.766 (60.423)
Epoch: [59][50/7045]	Time 0.159 (0.306)	Data 0.108 (0.236)	Loss 3.0365 (2.9460)	Prec@1 26.953 (30.967)	Prec@5 57.812 (60.593)
Epoch: [59][60/7045]	Time 0.115 (0.292)	Data 0.063 (0.221)	Loss 3.1024 (2.9596)	Prec@1 26.562 (30.539)	Prec@5 59.766 (60.457)
Epoch: [59][70/7045]	Time 0.100 (0.290)	Data 0.003 (0.220)	Loss 3.0165 (2.9510)	Prec@1 28.906 (30.656)	Prec@5 62.109 (60.723)
Epoch: [59][80/7045]	Time 0.482 (0.287)	Data 0.431 (0.219)	Loss 3.1015 (2.9517)	Prec@1 26.562 (30.748)	Prec@5 54.688 (60.610)
Epoch: [59][90/7045]	Time 0.141 (0.282)	Data 0.083 (0.215)	Loss 3.0857 (2.9540)	Prec@1 28.516 (30.743)	Prec@5 60.156 (60.555)
Epoch: [59][100/7045]	Time 0.534 (0.282)	Data 0.477 (0.214)	Loss 2.8876 (2.9525)	Prec@1 31.250 (30.751)	Prec@5 59.375 (60.512)
Epoch: [59][110/7045]	Time 0.178 (0.277)	Data 0.126 (0.210)	Loss 3.0463 (2.9537)	Prec@1 29.297 (30.810)	Prec@5 59.375 (60.434)
Epoch: [59][120/7045]	Time 0.170 (0.276)	Data 0.118 (0.210)	Loss 2.8463 (2.9466)	Prec@1 35.938 (30.985)	Prec@5 58.594 (60.547)
Epoch: [59][130/7045]	Time 0.102 (0.272)	Data 0.051 (0.206)	Loss 2.9197 (2.9442)	Prec@1 32.812 (31.000)	Prec@5 63.281 (60.562)
Epoch: [59][140/7045]	Time 0.144 (0.272)	Data 0.094 (0.207)	Loss 2.7255 (2.9450)	Prec@1 33.203 (30.945)	Prec@5 64.062 (60.522)
Epoch: [59][150/7045]	Time 0.101 (0.269)	Data 0.027 (0.204)	Loss 2.9333 (2.9427)	Prec@1 35.547 (30.981)	Prec@5 58.203 (60.547)
Epoch: [59][160/7045]	Time 0.102 (0.268)	Data 0.050 (0.203)	Loss 2.8322 (2.9459)	Prec@1 37.109 (30.918)	Prec@5 64.062 (60.520)
Epoch: [59][170/7045]	Time 0.101 (0.268)	Data 0.006 (0.203)	Loss 2.8948 (2.9470)	Prec@1 31.250 (30.948)	Prec@5 60.938 (60.524)
Epoch: [59][180/7045]	Time 0.102 (0.266)	Data 0.001 (0.200)	Loss 2.6941 (2.9417)	Prec@1 38.672 (31.064)	Prec@5 64.453 (60.638)
Epoch: [59][190/7045]	Time 0.259 (0.267)	Data 0.208 (0.201)	Loss 2.8891 (2.9430)	Prec@1 28.516 (31.060)	Prec@5 64.453 (60.567)
Epoch: [59][200/7045]	Time 0.513 (0.267)	Data 0.454 (0.200)	Loss 2.9074 (2.9426)	Prec@1 33.984 (31.079)	Prec@5 62.891 (60.609)
Epoch: [59][210/7045]	Time 0.101 (0.265)	Data 0.001 (0.199)	Loss 3.3083 (2.9451)	Prec@1 28.516 (31.009)	Prec@5 53.906 (60.567)
Epoch: [59][220/7045]	Time 0.360 (0.265)	Data 0.308 (0.199)	Loss 2.9573 (2.9478)	Prec@1 30.859 (30.985)	Prec@5 59.375 (60.510)
Epoch: [59][230/7045]	Time 0.417 (0.265)	Data 0.366 (0.199)	Loss 3.0839 (2.9486)	Prec@1 29.297 (30.957)	Prec@5 57.812 (60.486)
Epoch: [59][240/7045]	Time 0.337 (0.264)	Data 0.285 (0.199)	Loss 3.0174 (2.9492)	Prec@1 28.125 (30.947)	Prec@5 61.328 (60.503)
Epoch: [59][250/7045]	Time 0.168 (0.263)	Data 0.117 (0.198)	Loss 2.7468 (2.9510)	Prec@1 33.594 (30.943)	Prec@5 66.016 (60.480)
Epoch: [59][260/7045]	Time 0.303 (0.263)	Data 0.252 (0.198)	Loss 2.9632 (2.9497)	Prec@1 31.641 (30.981)	Prec@5 61.328 (60.496)
Epoch: [59][270/7045]	Time 0.127 (0.262)	Data 0.076 (0.198)	Loss 2.8685 (2.9515)	Prec@1 29.297 (30.976)	Prec@5 62.891 (60.453)
Epoch: [59][280/7045]	Time 0.403 (0.261)	Data 0.353 (0.198)	Loss 2.9452 (2.9517)	Prec@1 33.203 (31.012)	Prec@5 61.328 (60.457)
Epoch: [59][290/7045]	Time 0.160 (0.261)	Data 0.108 (0.197)	Loss 3.0454 (2.9512)	Prec@1 26.953 (31.012)	Prec@5 57.422 (60.453)
Epoch: [59][300/7045]	Time 0.119 (0.260)	Data 0.067 (0.197)	Loss 3.0023 (2.9493)	Prec@1 29.297 (31.084)	Prec@5 58.203 (60.501)
Epoch: [59][310/7045]	Time 0.102 (0.260)	Data 0.001 (0.197)	Loss 3.0089 (2.9521)	Prec@1 32.031 (31.103)	Prec@5 58.984 (60.450)
Epoch: [59][320/7045]	Time 0.414 (0.260)	Data 0.364 (0.197)	Loss 2.9308 (2.9511)	Prec@1 31.250 (31.149)	Prec@5 60.938 (60.467)
Epoch: [59][330/7045]	Time 0.139 (0.259)	Data 0.087 (0.196)	Loss 3.1491 (2.9496)	Prec@1 27.734 (31.165)	Prec@5 55.859 (60.509)
Epoch: [59][340/7045]	Time 0.260 (0.259)	Data 0.210 (0.196)	Loss 2.8629 (2.9474)	Prec@1 32.031 (31.221)	Prec@5 64.453 (60.570)
Epoch: [59][350/7045]	Time 0.105 (0.259)	Data 0.052 (0.196)	Loss 2.9743 (2.9488)	Prec@1 26.172 (31.192)	Prec@5 58.594 (60.561)
Epoch: [59][360/7045]	Time 0.238 (0.258)	Data 0.186 (0.195)	Loss 2.9617 (2.9492)	Prec@1 32.812 (31.225)	Prec@5 59.766 (60.561)
Epoch: [59][370/7045]	Time 0.138 (0.258)	Data 0.086 (0.195)	Loss 2.9174 (2.9481)	Prec@1 26.953 (31.203)	Prec@5 62.500 (60.573)
Epoch: [59][380/7045]	Time 0.102 (0.257)	Data 0.020 (0.195)	Loss 3.0096 (2.9489)	Prec@1 31.250 (31.201)	Prec@5 57.812 (60.534)
Epoch: [59][390/7045]	Time 0.225 (0.258)	Data 0.173 (0.195)	Loss 2.9460 (2.9489)	Prec@1 32.812 (31.229)	Prec@5 64.062 (60.538)
Epoch: [59][400/7045]	Time 0.132 (0.257)	Data 0.081 (0.195)	Loss 3.0392 (2.9493)	Prec@1 33.594 (31.225)	Prec@5 57.422 (60.526)
Epoch: [59][410/7045]	Time 0.384 (0.257)	Data 0.332 (0.195)	Loss 3.0557 (2.9499)	Prec@1 26.562 (31.212)	Prec@5 60.156 (60.497)
Epoch: [59][420/7045]	Time 0.100 (0.257)	Data 0.047 (0.195)	Loss 3.0197 (2.9506)	Prec@1 33.203 (31.197)	Prec@5 60.938 (60.481)
Epoch: [59][430/7045]	Time 0.569 (0.257)	Data 0.513 (0.195)	Loss 2.9066 (2.9516)	Prec@1 28.125 (31.185)	Prec@5 60.938 (60.452)
Epoch: [59][440/7045]	Time 0.220 (0.257)	Data 0.170 (0.195)	Loss 2.9998 (2.9522)	Prec@1 28.516 (31.183)	Prec@5 59.375 (60.439)
Epoch: [59][450/7045]	Time 0.448 (0.257)	Data 0.397 (0.195)	Loss 3.1983 (2.9525)	Prec@1 25.781 (31.179)	Prec@5 54.688 (60.431)
Epoch: [59][460/7045]	Time 0.161 (0.257)	Data 0.110 (0.194)	Loss 3.0845 (2.9530)	Prec@1 26.953 (31.164)	Prec@5 56.641 (60.395)
Epoch: [59][470/7045]	Time 0.208 (0.256)	Data 0.157 (0.194)	Loss 3.0614 (2.9534)	Prec@1 30.078 (31.150)	Prec@5 58.594 (60.410)
Epoch: [59][480/7045]	Time 0.310 (0.257)	Data 0.258 (0.194)	Loss 3.0795 (2.9550)	Prec@1 29.297 (31.106)	Prec@5 58.594 (60.381)
Epoch: [59][490/7045]	Time 0.103 (0.256)	Data 0.001 (0.194)	Loss 2.7984 (2.9546)	Prec@1 34.766 (31.110)	Prec@5 65.234 (60.405)
Epoch: [59][500/7045]	Time 0.510 (0.256)	Data 0.459 (0.194)	Loss 2.7380 (2.9531)	Prec@1 32.422 (31.136)	Prec@5 62.891 (60.422)
Epoch: [59][510/7045]	Time 0.101 (0.256)	Data 0.001 (0.194)	Loss 2.9998 (2.9523)	Prec@1 31.250 (31.151)	Prec@5 59.766 (60.457)
Epoch: [59][520/7045]	Time 0.314 (0.256)	Data 0.263 (0.194)	Loss 2.9717 (2.9522)	Prec@1 30.469 (31.150)	Prec@5 58.594 (60.453)
Epoch: [59][530/7045]	Time 0.122 (0.256)	Data 0.069 (0.193)	Loss 2.9254 (2.9523)	Prec@1 32.422 (31.150)	Prec@5 60.547 (60.450)
Epoch: [59][540/7045]	Time 0.365 (0.256)	Data 0.315 (0.193)	Loss 3.0275 (2.9532)	Prec@1 28.125 (31.129)	Prec@5 55.469 (60.423)
Epoch: [59][550/7045]	Time 0.185 (0.256)	Data 0.127 (0.193)	Loss 2.9861 (2.9545)	Prec@1 29.297 (31.124)	Prec@5 60.547 (60.396)
Epoch: [59][560/7045]	Time 0.186 (0.255)	Data 0.135 (0.193)	Loss 3.2161 (2.9536)	Prec@1 27.734 (31.128)	Prec@5 55.469 (60.415)
Epoch: [59][570/7045]	Time 0.102 (0.255)	Data 0.009 (0.193)	Loss 3.0846 (2.9543)	Prec@1 28.906 (31.119)	Prec@5 58.984 (60.396)
Epoch: [59][580/7045]	Time 0.242 (0.255)	Data 0.191 (0.193)	Loss 3.1320 (2.9531)	Prec@1 29.297 (31.149)	Prec@5 58.594 (60.411)
Epoch: [59][590/7045]	Time 0.519 (0.256)	Data 0.466 (0.194)	Loss 2.8343 (2.9522)	Prec@1 33.203 (31.163)	Prec@5 60.547 (60.430)
Epoch: [59][600/7045]	Time 0.108 (0.255)	Data 0.001 (0.193)	Loss 2.9401 (2.9521)	Prec@1 30.078 (31.158)	Prec@5 60.938 (60.434)
Epoch: [59][610/7045]	Time 0.567 (0.255)	Data 0.515 (0.193)	Loss 3.0772 (2.9531)	Prec@1 26.953 (31.151)	Prec@5 60.156 (60.409)
Epoch: [59][620/7045]	Time 0.146 (0.255)	Data 0.094 (0.193)	Loss 3.0074 (2.9527)	Prec@1 31.641 (31.149)	Prec@5 58.594 (60.405)
Epoch: [59][630/7045]	Time 0.420 (0.255)	Data 0.369 (0.193)	Loss 2.9170 (2.9523)	Prec@1 30.859 (31.171)	Prec@5 60.547 (60.408)
Epoch: [59][640/7045]	Time 0.101 (0.255)	Data 0.001 (0.192)	Loss 2.9790 (2.9517)	Prec@1 33.984 (31.174)	Prec@5 60.156 (60.429)
Epoch: [59][650/7045]	Time 0.210 (0.254)	Data 0.158 (0.192)	Loss 3.1656 (2.9523)	Prec@1 26.172 (31.173)	Prec@5 54.297 (60.409)
Epoch: [59][660/7045]	Time 0.110 (0.255)	Data 0.058 (0.192)	Loss 3.0039 (2.9526)	Prec@1 32.812 (31.166)	Prec@5 55.469 (60.393)
Epoch: [59][670/7045]	Time 0.101 (0.254)	Data 0.048 (0.192)	Loss 2.9731 (2.9526)	Prec@1 31.250 (31.164)	Prec@5 60.547 (60.403)
Epoch: [59][680/7045]	Time 0.352 (0.255)	Data 0.291 (0.192)	Loss 2.7800 (2.9526)	Prec@1 33.203 (31.136)	Prec@5 62.500 (60.400)
Epoch: [59][690/7045]	Time 0.392 (0.254)	Data 0.335 (0.192)	Loss 2.9699 (2.9532)	Prec@1 28.516 (31.122)	Prec@5 60.938 (60.387)
Epoch: [59][700/7045]	Time 0.241 (0.254)	Data 0.189 (0.192)	Loss 2.9572 (2.9539)	Prec@1 33.203 (31.108)	Prec@5 59.766 (60.381)
Epoch: [59][710/7045]	Time 0.397 (0.254)	Data 0.345 (0.192)	Loss 2.7760 (2.9545)	Prec@1 36.328 (31.092)	Prec@5 62.891 (60.367)
Epoch: [59][720/7045]	Time 0.273 (0.254)	Data 0.222 (0.192)	Loss 3.1338 (2.9547)	Prec@1 29.297 (31.093)	Prec@5 55.469 (60.349)
Epoch: [59][730/7045]	Time 0.102 (0.254)	Data 0.001 (0.192)	Loss 2.9668 (2.9548)	Prec@1 29.297 (31.082)	Prec@5 62.109 (60.358)
Epoch: [59][740/7045]	Time 0.210 (0.254)	Data 0.160 (0.192)	Loss 3.0713 (2.9563)	Prec@1 30.859 (31.054)	Prec@5 60.547 (60.335)
Epoch: [59][750/7045]	Time 0.112 (0.254)	Data 0.001 (0.192)	Loss 3.1270 (2.9572)	Prec@1 25.391 (31.041)	Prec@5 57.031 (60.322)
Epoch: [59][760/7045]	Time 0.258 (0.254)	Data 0.206 (0.191)	Loss 3.0092 (2.9574)	Prec@1 33.594 (31.035)	Prec@5 63.281 (60.326)
Epoch: [59][770/7045]	Time 0.195 (0.254)	Data 0.144 (0.191)	Loss 2.8452 (2.9574)	Prec@1 38.281 (31.041)	Prec@5 62.891 (60.318)
Epoch: [59][780/7045]	Time 0.110 (0.253)	Data 0.057 (0.191)	Loss 3.1054 (2.9586)	Prec@1 31.250 (31.022)	Prec@5 57.812 (60.286)
Epoch: [59][790/7045]	Time 0.205 (0.253)	Data 0.154 (0.191)	Loss 3.0750 (2.9586)	Prec@1 27.734 (31.019)	Prec@5 61.328 (60.292)
Epoch: [59][800/7045]	Time 0.326 (0.253)	Data 0.276 (0.191)	Loss 2.9762 (2.9588)	Prec@1 31.641 (31.007)	Prec@5 58.984 (60.303)
Epoch: [59][810/7045]	Time 0.102 (0.253)	Data 0.003 (0.191)	Loss 3.0479 (2.9583)	Prec@1 32.031 (31.022)	Prec@5 59.375 (60.313)
Epoch: [59][820/7045]	Time 0.612 (0.254)	Data 0.560 (0.192)	Loss 3.1278 (2.9580)	Prec@1 26.562 (31.020)	Prec@5 58.594 (60.318)
Epoch: [59][830/7045]	Time 0.113 (0.253)	Data 0.061 (0.191)	Loss 2.8892 (2.9581)	Prec@1 34.766 (31.028)	Prec@5 63.281 (60.318)
Epoch: [59][840/7045]	Time 0.226 (0.253)	Data 0.175 (0.191)	Loss 2.8855 (2.9580)	Prec@1 29.688 (31.017)	Prec@5 62.891 (60.323)
Epoch: [59][850/7045]	Time 0.617 (0.254)	Data 0.555 (0.192)	Loss 3.0844 (2.9584)	Prec@1 30.859 (31.014)	Prec@5 57.422 (60.321)
Epoch: [59][860/7045]	Time 0.246 (0.254)	Data 0.195 (0.191)	Loss 3.1788 (2.9580)	Prec@1 30.078 (31.025)	Prec@5 57.422 (60.321)
Epoch: [59][870/7045]	Time 0.270 (0.254)	Data 0.219 (0.191)	Loss 3.0350 (2.9579)	Prec@1 30.078 (31.032)	Prec@5 60.156 (60.330)
Epoch: [59][880/7045]	Time 0.101 (0.253)	Data 0.001 (0.191)	Loss 2.9648 (2.9578)	Prec@1 29.688 (31.035)	Prec@5 60.547 (60.338)
Epoch: [59][890/7045]	Time 0.419 (0.254)	Data 0.366 (0.191)	Loss 2.9395 (2.9573)	Prec@1 34.375 (31.040)	Prec@5 60.938 (60.350)
Epoch: [59][900/7045]	Time 0.102 (0.253)	Data 0.001 (0.191)	Loss 2.9441 (2.9578)	Prec@1 28.906 (31.031)	Prec@5 61.719 (60.345)
Epoch: [59][910/7045]	Time 0.449 (0.254)	Data 0.397 (0.191)	Loss 2.9841 (2.9580)	Prec@1 30.469 (31.015)	Prec@5 61.719 (60.343)
Epoch: [59][920/7045]	Time 0.200 (0.253)	Data 0.139 (0.191)	Loss 2.8574 (2.9578)	Prec@1 31.641 (31.030)	Prec@5 63.281 (60.345)
Epoch: [59][930/7045]	Time 0.243 (0.253)	Data 0.192 (0.191)	Loss 3.0403 (2.9577)	Prec@1 24.609 (31.030)	Prec@5 57.812 (60.342)
Epoch: [59][940/7045]	Time 0.102 (0.253)	Data 0.004 (0.191)	Loss 2.8964 (2.9579)	Prec@1 32.812 (31.027)	Prec@5 61.328 (60.328)
Epoch: [59][950/7045]	Time 0.111 (0.253)	Data 0.059 (0.191)	Loss 2.8857 (2.9572)	Prec@1 30.469 (31.050)	Prec@5 63.672 (60.348)
Epoch: [59][960/7045]	Time 0.290 (0.253)	Data 0.231 (0.191)	Loss 2.9869 (2.9571)	Prec@1 30.078 (31.061)	Prec@5 58.594 (60.342)
Epoch: [59][970/7045]	Time 0.102 (0.253)	Data 0.001 (0.191)	Loss 3.1852 (2.9573)	Prec@1 30.469 (31.067)	Prec@5 54.688 (60.331)
Epoch: [59][980/7045]	Time 0.354 (0.253)	Data 0.303 (0.191)	Loss 2.8260 (2.9569)	Prec@1 28.516 (31.067)	Prec@5 67.188 (60.350)
Epoch: [59][990/7045]	Time 0.110 (0.253)	Data 0.058 (0.191)	Loss 2.7703 (2.9569)	Prec@1 32.812 (31.061)	Prec@5 64.453 (60.358)
Epoch: [59][1000/7045]	Time 0.113 (0.253)	Data 0.061 (0.191)	Loss 2.8233 (2.9569)	Prec@1 33.203 (31.067)	Prec@5 60.156 (60.353)
Epoch: [59][1010/7045]	Time 0.206 (0.253)	Data 0.156 (0.191)	Loss 2.7353 (2.9566)	Prec@1 35.938 (31.076)	Prec@5 66.406 (60.351)
Epoch: [59][1020/7045]	Time 0.102 (0.253)	Data 0.018 (0.190)	Loss 2.9896 (2.9566)	Prec@1 31.250 (31.074)	Prec@5 57.812 (60.351)
Epoch: [59][1030/7045]	Time 0.227 (0.253)	Data 0.170 (0.191)	Loss 3.0479 (2.9566)	Prec@1 31.641 (31.076)	Prec@5 55.859 (60.350)
Epoch: [59][1040/7045]	Time 0.382 (0.253)	Data 0.331 (0.191)	Loss 2.9132 (2.9565)	Prec@1 36.328 (31.079)	Prec@5 62.109 (60.355)
Epoch: [59][1050/7045]	Time 0.100 (0.253)	Data 0.001 (0.191)	Loss 2.8056 (2.9562)	Prec@1 35.156 (31.094)	Prec@5 63.281 (60.357)
Epoch: [59][1060/7045]	Time 0.473 (0.253)	Data 0.422 (0.191)	Loss 3.0215 (2.9564)	Prec@1 30.469 (31.090)	Prec@5 60.938 (60.351)
Epoch: [59][1070/7045]	Time 0.102 (0.253)	Data 0.001 (0.191)	Loss 3.0590 (2.9564)	Prec@1 29.688 (31.089)	Prec@5 60.938 (60.351)
Epoch: [59][1080/7045]	Time 0.734 (0.253)	Data 0.682 (0.191)	Loss 2.9834 (2.9569)	Prec@1 34.375 (31.083)	Prec@5 61.719 (60.338)
Epoch: [59][1090/7045]	Time 0.168 (0.253)	Data 0.117 (0.190)	Loss 3.2021 (2.9577)	Prec@1 29.688 (31.068)	Prec@5 56.250 (60.325)
Epoch: [59][1100/7045]	Time 0.607 (0.253)	Data 0.556 (0.190)	Loss 3.0852 (2.9588)	Prec@1 29.297 (31.062)	Prec@5 57.422 (60.302)
Epoch: [59][1110/7045]	Time 0.103 (0.253)	Data 0.001 (0.190)	Loss 2.9732 (2.9590)	Prec@1 27.344 (31.056)	Prec@5 53.906 (60.299)
Epoch: [59][1120/7045]	Time 0.393 (0.253)	Data 0.341 (0.190)	Loss 3.0731 (2.9592)	Prec@1 29.688 (31.051)	Prec@5 60.156 (60.301)
Epoch: [59][1130/7045]	Time 0.542 (0.253)	Data 0.490 (0.190)	Loss 3.0600 (2.9590)	Prec@1 28.516 (31.055)	Prec@5 58.984 (60.301)
Epoch: [59][1140/7045]	Time 0.102 (0.253)	Data 0.001 (0.190)	Loss 2.6870 (2.9584)	Prec@1 34.766 (31.062)	Prec@5 66.406 (60.308)
Epoch: [59][1150/7045]	Time 0.640 (0.253)	Data 0.588 (0.190)	Loss 3.0135 (2.9587)	Prec@1 29.688 (31.053)	Prec@5 59.766 (60.303)
Epoch: [59][1160/7045]	Time 0.528 (0.253)	Data 0.477 (0.190)	Loss 2.8483 (2.9581)	Prec@1 32.422 (31.067)	Prec@5 67.188 (60.316)
Epoch: [59][1170/7045]	Time 0.104 (0.253)	Data 0.001 (0.190)	Loss 3.0947 (2.9584)	Prec@1 28.906 (31.061)	Prec@5 57.812 (60.314)
Epoch: [59][1180/7045]	Time 0.656 (0.253)	Data 0.604 (0.190)	Loss 3.0670 (2.9585)	Prec@1 28.125 (31.047)	Prec@5 54.297 (60.306)
Epoch: [59][1190/7045]	Time 0.265 (0.253)	Data 0.214 (0.190)	Loss 3.1173 (2.9588)	Prec@1 31.641 (31.047)	Prec@5 62.891 (60.312)
Epoch: [59][1200/7045]	Time 0.203 (0.253)	Data 0.152 (0.190)	Loss 2.9592 (2.9582)	Prec@1 31.250 (31.059)	Prec@5 61.328 (60.325)
Epoch: [59][1210/7045]	Time 0.559 (0.254)	Data 0.507 (0.190)	Loss 2.8832 (2.9583)	Prec@1 28.125 (31.056)	Prec@5 63.281 (60.318)
Epoch: [59][1220/7045]	Time 0.111 (0.253)	Data 0.060 (0.190)	Loss 2.8379 (2.9585)	Prec@1 32.422 (31.042)	Prec@5 62.109 (60.317)
Epoch: [59][1230/7045]	Time 0.618 (0.253)	Data 0.566 (0.190)	Loss 2.9138 (2.9581)	Prec@1 34.375 (31.055)	Prec@5 60.547 (60.323)
Epoch: [59][1240/7045]	Time 0.186 (0.253)	Data 0.135 (0.190)	Loss 3.0097 (2.9581)	Prec@1 32.031 (31.055)	Prec@5 58.203 (60.315)
Epoch: [59][1250/7045]	Time 0.109 (0.253)	Data 0.001 (0.190)	Loss 2.9497 (2.9584)	Prec@1 33.594 (31.052)	Prec@5 60.547 (60.302)
Epoch: [59][1260/7045]	Time 0.102 (0.253)	Data 0.001 (0.190)	Loss 3.1023 (2.9587)	Prec@1 27.344 (31.042)	Prec@5 60.156 (60.307)
Epoch: [59][1270/7045]	Time 0.253 (0.253)	Data 0.202 (0.190)	Loss 2.9175 (2.9584)	Prec@1 32.031 (31.045)	Prec@5 61.328 (60.314)
Epoch: [59][1280/7045]	Time 0.112 (0.253)	Data 0.060 (0.190)	Loss 2.8541 (2.9589)	Prec@1 29.297 (31.030)	Prec@5 62.891 (60.306)
Epoch: [59][1290/7045]	Time 0.158 (0.253)	Data 0.106 (0.190)	Loss 2.7833 (2.9582)	Prec@1 34.375 (31.035)	Prec@5 63.672 (60.319)
Epoch: [59][1300/7045]	Time 0.102 (0.253)	Data 0.005 (0.190)	Loss 2.8150 (2.9575)	Prec@1 31.641 (31.055)	Prec@5 61.719 (60.334)
Epoch: [59][1310/7045]	Time 0.147 (0.253)	Data 0.095 (0.190)	Loss 3.0105 (2.9580)	Prec@1 33.203 (31.041)	Prec@5 59.766 (60.329)
Epoch: [59][1320/7045]	Time 0.108 (0.253)	Data 0.010 (0.190)	Loss 3.0049 (2.9580)	Prec@1 30.078 (31.038)	Prec@5 58.594 (60.332)
Epoch: [59][1330/7045]	Time 0.474 (0.253)	Data 0.422 (0.190)	Loss 2.8129 (2.9575)	Prec@1 33.203 (31.050)	Prec@5 61.719 (60.346)
Epoch: [59][1340/7045]	Time 0.104 (0.253)	Data 0.052 (0.189)	Loss 2.9798 (2.9576)	Prec@1 26.172 (31.045)	Prec@5 58.984 (60.346)
Epoch: [59][1350/7045]	Time 0.546 (0.253)	Data 0.496 (0.190)	Loss 2.8067 (2.9579)	Prec@1 35.547 (31.023)	Prec@5 64.453 (60.342)
Epoch: [59][1360/7045]	Time 0.108 (0.253)	Data 0.001 (0.189)	Loss 3.1039 (2.9580)	Prec@1 29.688 (31.018)	Prec@5 56.641 (60.341)
Epoch: [59][1370/7045]	Time 0.804 (0.253)	Data 0.752 (0.190)	Loss 2.9565 (2.9584)	Prec@1 31.250 (31.005)	Prec@5 62.891 (60.335)
Epoch: [59][1380/7045]	Time 0.101 (0.253)	Data 0.001 (0.189)	Loss 3.2402 (2.9590)	Prec@1 26.953 (31.006)	Prec@5 53.516 (60.320)
Epoch: [59][1390/7045]	Time 0.736 (0.253)	Data 0.685 (0.189)	Loss 2.9080 (2.9591)	Prec@1 31.250 (31.001)	Prec@5 59.766 (60.317)
Epoch: [59][1400/7045]	Time 0.101 (0.253)	Data 0.049 (0.189)	Loss 2.8709 (2.9595)	Prec@1 35.156 (30.995)	Prec@5 61.719 (60.317)
Epoch: [59][1410/7045]	Time 0.646 (0.253)	Data 0.588 (0.189)	Loss 3.1680 (2.9598)	Prec@1 25.391 (30.982)	Prec@5 55.859 (60.319)
Epoch: [59][1420/7045]	Time 0.114 (0.252)	Data 0.063 (0.188)	Loss 2.9027 (2.9597)	Prec@1 34.766 (30.986)	Prec@5 59.375 (60.326)
Epoch: [59][1430/7045]	Time 0.470 (0.252)	Data 0.419 (0.188)	Loss 2.6642 (2.9592)	Prec@1 35.156 (30.990)	Prec@5 66.406 (60.335)
Epoch: [59][1440/7045]	Time 0.102 (0.252)	Data 0.003 (0.188)	Loss 3.0123 (2.9590)	Prec@1 30.078 (30.991)	Prec@5 57.422 (60.334)
Epoch: [59][1450/7045]	Time 0.103 (0.252)	Data 0.003 (0.188)	Loss 3.1148 (2.9593)	Prec@1 31.641 (30.984)	Prec@5 57.422 (60.330)
Epoch: [59][1460/7045]	Time 0.101 (0.252)	Data 0.001 (0.188)	Loss 2.8873 (2.9588)	Prec@1 32.812 (30.993)	Prec@5 60.938 (60.340)
Epoch: [59][1470/7045]	Time 0.127 (0.252)	Data 0.067 (0.188)	Loss 2.8692 (2.9585)	Prec@1 32.031 (31.006)	Prec@5 61.328 (60.346)
Epoch: [59][1480/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 2.8866 (2.9585)	Prec@1 32.812 (31.003)	Prec@5 60.547 (60.343)
Epoch: [59][1490/7045]	Time 0.334 (0.252)	Data 0.284 (0.188)	Loss 2.8959 (2.9584)	Prec@1 33.594 (30.997)	Prec@5 63.281 (60.351)
Epoch: [59][1500/7045]	Time 0.397 (0.252)	Data 0.347 (0.188)	Loss 3.2076 (2.9588)	Prec@1 24.609 (30.986)	Prec@5 54.688 (60.341)
Epoch: [59][1510/7045]	Time 0.102 (0.252)	Data 0.015 (0.188)	Loss 2.8427 (2.9588)	Prec@1 30.469 (30.982)	Prec@5 59.766 (60.343)
Epoch: [59][1520/7045]	Time 0.323 (0.252)	Data 0.273 (0.188)	Loss 2.8346 (2.9589)	Prec@1 35.547 (30.989)	Prec@5 63.672 (60.340)
Epoch: [59][1530/7045]	Time 0.108 (0.252)	Data 0.056 (0.188)	Loss 2.8850 (2.9587)	Prec@1 30.469 (30.992)	Prec@5 62.109 (60.343)
Epoch: [59][1540/7045]	Time 0.582 (0.252)	Data 0.529 (0.188)	Loss 3.0688 (2.9586)	Prec@1 30.078 (30.988)	Prec@5 61.328 (60.340)
Epoch: [59][1550/7045]	Time 0.101 (0.252)	Data 0.005 (0.188)	Loss 2.9269 (2.9586)	Prec@1 33.984 (30.989)	Prec@5 58.984 (60.345)
Epoch: [59][1560/7045]	Time 0.510 (0.252)	Data 0.459 (0.188)	Loss 3.0979 (2.9592)	Prec@1 27.344 (30.978)	Prec@5 57.031 (60.332)
Epoch: [59][1570/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 2.7641 (2.9589)	Prec@1 35.938 (30.987)	Prec@5 66.797 (60.339)
Epoch: [59][1580/7045]	Time 0.369 (0.252)	Data 0.311 (0.188)	Loss 3.0574 (2.9588)	Prec@1 31.250 (30.996)	Prec@5 61.719 (60.340)
Epoch: [59][1590/7045]	Time 0.139 (0.252)	Data 0.087 (0.188)	Loss 2.8387 (2.9587)	Prec@1 33.594 (31.002)	Prec@5 65.625 (60.343)
Epoch: [59][1600/7045]	Time 0.162 (0.252)	Data 0.112 (0.188)	Loss 2.9074 (2.9588)	Prec@1 30.859 (31.005)	Prec@5 57.422 (60.343)
Epoch: [59][1610/7045]	Time 0.363 (0.252)	Data 0.310 (0.188)	Loss 2.9616 (2.9586)	Prec@1 28.906 (31.000)	Prec@5 58.984 (60.351)
Epoch: [59][1620/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 2.7194 (2.9588)	Prec@1 40.234 (31.006)	Prec@5 64.844 (60.349)
Epoch: [59][1630/7045]	Time 0.621 (0.252)	Data 0.564 (0.188)	Loss 3.0725 (2.9588)	Prec@1 28.906 (31.000)	Prec@5 57.422 (60.350)
Epoch: [59][1640/7045]	Time 0.099 (0.252)	Data 0.001 (0.188)	Loss 3.0537 (2.9584)	Prec@1 32.422 (31.006)	Prec@5 58.984 (60.357)
Epoch: [59][1650/7045]	Time 0.651 (0.252)	Data 0.599 (0.188)	Loss 2.9734 (2.9585)	Prec@1 31.250 (31.010)	Prec@5 57.812 (60.357)
Epoch: [59][1660/7045]	Time 0.112 (0.252)	Data 0.061 (0.187)	Loss 3.0779 (2.9582)	Prec@1 26.953 (31.013)	Prec@5 56.641 (60.365)
Epoch: [59][1670/7045]	Time 0.528 (0.252)	Data 0.477 (0.188)	Loss 2.9725 (2.9580)	Prec@1 31.250 (31.019)	Prec@5 58.984 (60.367)
Epoch: [59][1680/7045]	Time 0.554 (0.252)	Data 0.503 (0.188)	Loss 2.9510 (2.9583)	Prec@1 34.766 (31.018)	Prec@5 62.500 (60.360)
Epoch: [59][1690/7045]	Time 0.171 (0.252)	Data 0.119 (0.187)	Loss 3.0428 (2.9584)	Prec@1 30.469 (31.020)	Prec@5 59.375 (60.351)
Epoch: [59][1700/7045]	Time 0.661 (0.252)	Data 0.611 (0.187)	Loss 3.2402 (2.9589)	Prec@1 27.344 (31.010)	Prec@5 55.469 (60.344)
Epoch: [59][1710/7045]	Time 0.113 (0.252)	Data 0.062 (0.187)	Loss 2.7944 (2.9588)	Prec@1 33.203 (31.013)	Prec@5 63.281 (60.349)
Epoch: [59][1720/7045]	Time 0.626 (0.252)	Data 0.568 (0.187)	Loss 2.9011 (2.9585)	Prec@1 31.641 (31.013)	Prec@5 61.719 (60.351)
Epoch: [59][1730/7045]	Time 0.188 (0.252)	Data 0.137 (0.187)	Loss 3.1365 (2.9586)	Prec@1 27.734 (31.010)	Prec@5 55.078 (60.345)
Epoch: [59][1740/7045]	Time 0.572 (0.252)	Data 0.521 (0.187)	Loss 3.1334 (2.9583)	Prec@1 29.688 (31.012)	Prec@5 57.812 (60.349)
Epoch: [59][1750/7045]	Time 0.102 (0.252)	Data 0.007 (0.187)	Loss 3.0447 (2.9583)	Prec@1 28.125 (31.006)	Prec@5 57.031 (60.349)
Epoch: [59][1760/7045]	Time 0.356 (0.252)	Data 0.305 (0.187)	Loss 3.2200 (2.9582)	Prec@1 25.391 (31.004)	Prec@5 53.906 (60.351)
Epoch: [59][1770/7045]	Time 0.181 (0.252)	Data 0.130 (0.187)	Loss 3.1499 (2.9585)	Prec@1 27.734 (30.998)	Prec@5 57.812 (60.347)
Epoch: [59][1780/7045]	Time 0.215 (0.252)	Data 0.164 (0.187)	Loss 2.9612 (2.9587)	Prec@1 30.859 (31.000)	Prec@5 58.984 (60.344)
Epoch: [59][1790/7045]	Time 0.287 (0.252)	Data 0.236 (0.187)	Loss 2.8452 (2.9592)	Prec@1 34.766 (30.997)	Prec@5 61.328 (60.333)
Epoch: [59][1800/7045]	Time 0.101 (0.252)	Data 0.001 (0.187)	Loss 3.0026 (2.9587)	Prec@1 26.953 (31.001)	Prec@5 58.203 (60.338)
Epoch: [59][1810/7045]	Time 0.535 (0.252)	Data 0.482 (0.187)	Loss 2.9461 (2.9586)	Prec@1 33.594 (31.002)	Prec@5 63.281 (60.341)
Epoch: [59][1820/7045]	Time 0.126 (0.252)	Data 0.074 (0.187)	Loss 2.8931 (2.9588)	Prec@1 30.469 (31.001)	Prec@5 61.328 (60.341)
Epoch: [59][1830/7045]	Time 0.486 (0.252)	Data 0.426 (0.187)	Loss 2.9139 (2.9589)	Prec@1 33.203 (31.001)	Prec@5 62.109 (60.334)
Epoch: [59][1840/7045]	Time 0.101 (0.252)	Data 0.014 (0.187)	Loss 3.0164 (2.9587)	Prec@1 33.203 (31.005)	Prec@5 60.156 (60.341)
Epoch: [59][1850/7045]	Time 0.311 (0.252)	Data 0.258 (0.187)	Loss 2.9449 (2.9590)	Prec@1 33.984 (31.002)	Prec@5 62.109 (60.337)
Epoch: [59][1860/7045]	Time 0.313 (0.252)	Data 0.262 (0.187)	Loss 2.9230 (2.9590)	Prec@1 28.906 (31.004)	Prec@5 58.594 (60.333)
Epoch: [59][1870/7045]	Time 0.286 (0.252)	Data 0.234 (0.187)	Loss 2.7779 (2.9590)	Prec@1 30.078 (31.002)	Prec@5 68.359 (60.334)
Epoch: [59][1880/7045]	Time 0.330 (0.251)	Data 0.277 (0.187)	Loss 2.8297 (2.9589)	Prec@1 37.500 (31.007)	Prec@5 64.844 (60.335)
Epoch: [59][1890/7045]	Time 0.169 (0.251)	Data 0.117 (0.187)	Loss 2.9827 (2.9590)	Prec@1 30.469 (31.007)	Prec@5 61.328 (60.335)
Epoch: [59][1900/7045]	Time 0.391 (0.251)	Data 0.339 (0.188)	Loss 3.1113 (2.9592)	Prec@1 30.078 (31.007)	Prec@5 56.250 (60.331)
Epoch: [59][1910/7045]	Time 0.236 (0.251)	Data 0.185 (0.188)	Loss 3.0386 (2.9592)	Prec@1 33.203 (31.008)	Prec@5 57.812 (60.332)
Epoch: [59][1920/7045]	Time 0.407 (0.251)	Data 0.356 (0.188)	Loss 2.8657 (2.9590)	Prec@1 31.250 (31.009)	Prec@5 63.672 (60.333)
Epoch: [59][1930/7045]	Time 0.169 (0.251)	Data 0.118 (0.188)	Loss 3.1130 (2.9592)	Prec@1 29.297 (31.008)	Prec@5 57.812 (60.332)
Epoch: [59][1940/7045]	Time 0.549 (0.251)	Data 0.498 (0.188)	Loss 2.7976 (2.9594)	Prec@1 26.953 (30.998)	Prec@5 66.016 (60.330)
Epoch: [59][1950/7045]	Time 0.104 (0.251)	Data 0.044 (0.188)	Loss 2.8903 (2.9592)	Prec@1 31.250 (31.001)	Prec@5 59.375 (60.334)
Epoch: [59][1960/7045]	Time 0.541 (0.251)	Data 0.485 (0.188)	Loss 3.2478 (2.9591)	Prec@1 27.734 (31.004)	Prec@5 56.250 (60.341)
Epoch: [59][1970/7045]	Time 0.175 (0.251)	Data 0.124 (0.188)	Loss 2.9616 (2.9596)	Prec@1 33.203 (30.999)	Prec@5 59.766 (60.325)
Epoch: [59][1980/7045]	Time 0.259 (0.251)	Data 0.207 (0.188)	Loss 3.0586 (2.9600)	Prec@1 28.516 (30.995)	Prec@5 55.078 (60.320)
Epoch: [59][1990/7045]	Time 0.300 (0.251)	Data 0.248 (0.188)	Loss 3.0405 (2.9602)	Prec@1 26.172 (30.991)	Prec@5 60.938 (60.320)
Epoch: [59][2000/7045]	Time 0.109 (0.251)	Data 0.001 (0.188)	Loss 2.9904 (2.9599)	Prec@1 30.469 (30.995)	Prec@5 58.984 (60.324)
Epoch: [59][2010/7045]	Time 0.148 (0.251)	Data 0.097 (0.188)	Loss 3.0032 (2.9601)	Prec@1 26.172 (30.987)	Prec@5 57.812 (60.321)
Epoch: [59][2020/7045]	Time 0.577 (0.251)	Data 0.527 (0.188)	Loss 2.9849 (2.9603)	Prec@1 31.641 (30.985)	Prec@5 61.328 (60.320)
Epoch: [59][2030/7045]	Time 0.101 (0.251)	Data 0.001 (0.188)	Loss 2.8035 (2.9602)	Prec@1 32.031 (30.983)	Prec@5 63.281 (60.319)
Epoch: [59][2040/7045]	Time 0.531 (0.251)	Data 0.479 (0.188)	Loss 3.0167 (2.9605)	Prec@1 30.469 (30.980)	Prec@5 58.984 (60.319)
Epoch: [59][2050/7045]	Time 0.112 (0.251)	Data 0.060 (0.188)	Loss 3.1055 (2.9605)	Prec@1 28.125 (30.981)	Prec@5 55.469 (60.314)
Epoch: [59][2060/7045]	Time 0.675 (0.251)	Data 0.623 (0.188)	Loss 2.8093 (2.9604)	Prec@1 30.078 (30.980)	Prec@5 61.719 (60.315)
Epoch: [59][2070/7045]	Time 0.109 (0.251)	Data 0.011 (0.188)	Loss 2.8423 (2.9603)	Prec@1 31.250 (30.982)	Prec@5 57.812 (60.312)
Epoch: [59][2080/7045]	Time 0.416 (0.251)	Data 0.365 (0.188)	Loss 2.9308 (2.9601)	Prec@1 33.594 (30.991)	Prec@5 60.547 (60.318)
Epoch: [59][2090/7045]	Time 0.099 (0.251)	Data 0.047 (0.188)	Loss 3.0796 (2.9603)	Prec@1 28.516 (30.988)	Prec@5 61.328 (60.318)
Epoch: [59][2100/7045]	Time 0.102 (0.251)	Data 0.006 (0.188)	Loss 2.9216 (2.9601)	Prec@1 32.031 (30.995)	Prec@5 61.719 (60.324)
Epoch: [59][2110/7045]	Time 0.205 (0.251)	Data 0.154 (0.188)	Loss 3.0693 (2.9602)	Prec@1 26.562 (30.992)	Prec@5 59.375 (60.324)
Epoch: [59][2120/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 3.2444 (2.9603)	Prec@1 25.391 (30.985)	Prec@5 54.297 (60.323)
Epoch: [59][2130/7045]	Time 0.100 (0.251)	Data 0.048 (0.188)	Loss 2.8421 (2.9602)	Prec@1 30.859 (30.986)	Prec@5 65.234 (60.324)
Epoch: [59][2140/7045]	Time 0.107 (0.251)	Data 0.055 (0.188)	Loss 3.1125 (2.9604)	Prec@1 30.469 (30.985)	Prec@5 55.859 (60.315)
Epoch: [59][2150/7045]	Time 0.228 (0.251)	Data 0.178 (0.188)	Loss 3.0107 (2.9604)	Prec@1 26.172 (30.981)	Prec@5 57.031 (60.315)
Epoch: [59][2160/7045]	Time 0.255 (0.251)	Data 0.204 (0.188)	Loss 3.3096 (2.9605)	Prec@1 23.438 (30.976)	Prec@5 57.422 (60.313)
Epoch: [59][2170/7045]	Time 0.288 (0.251)	Data 0.238 (0.188)	Loss 2.8907 (2.9605)	Prec@1 35.938 (30.982)	Prec@5 62.109 (60.311)
Epoch: [59][2180/7045]	Time 0.195 (0.251)	Data 0.144 (0.188)	Loss 2.9558 (2.9606)	Prec@1 30.859 (30.979)	Prec@5 58.984 (60.313)
Epoch: [59][2190/7045]	Time 0.430 (0.251)	Data 0.378 (0.188)	Loss 2.9778 (2.9605)	Prec@1 29.688 (30.980)	Prec@5 63.281 (60.318)
Epoch: [59][2200/7045]	Time 0.102 (0.251)	Data 0.008 (0.188)	Loss 2.9073 (2.9604)	Prec@1 32.031 (30.988)	Prec@5 62.500 (60.321)
Epoch: [59][2210/7045]	Time 0.250 (0.251)	Data 0.199 (0.188)	Loss 3.0717 (2.9604)	Prec@1 28.125 (30.989)	Prec@5 59.766 (60.320)
Epoch: [59][2220/7045]	Time 0.109 (0.251)	Data 0.056 (0.188)	Loss 2.9504 (2.9603)	Prec@1 32.422 (30.992)	Prec@5 60.547 (60.319)
Epoch: [59][2230/7045]	Time 0.215 (0.251)	Data 0.162 (0.188)	Loss 2.8652 (2.9605)	Prec@1 29.688 (30.984)	Prec@5 60.938 (60.319)
Epoch: [59][2240/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 3.0704 (2.9605)	Prec@1 27.734 (30.984)	Prec@5 59.375 (60.318)
Epoch: [59][2250/7045]	Time 0.206 (0.251)	Data 0.155 (0.188)	Loss 3.0312 (2.9603)	Prec@1 27.734 (30.990)	Prec@5 62.500 (60.325)
Epoch: [59][2260/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 2.9739 (2.9601)	Prec@1 29.297 (30.991)	Prec@5 60.547 (60.323)
Epoch: [59][2270/7045]	Time 0.597 (0.251)	Data 0.536 (0.188)	Loss 2.8324 (2.9599)	Prec@1 29.688 (30.996)	Prec@5 64.453 (60.330)
Epoch: [59][2280/7045]	Time 0.206 (0.251)	Data 0.155 (0.188)	Loss 2.8690 (2.9600)	Prec@1 33.594 (30.995)	Prec@5 62.891 (60.329)
Epoch: [59][2290/7045]	Time 0.636 (0.251)	Data 0.586 (0.188)	Loss 2.9288 (2.9600)	Prec@1 30.859 (30.992)	Prec@5 62.109 (60.330)
Epoch: [59][2300/7045]	Time 0.096 (0.251)	Data 0.001 (0.188)	Loss 2.8757 (2.9601)	Prec@1 32.422 (30.995)	Prec@5 60.156 (60.329)
Epoch: [59][2310/7045]	Time 0.536 (0.251)	Data 0.485 (0.188)	Loss 3.0152 (2.9603)	Prec@1 30.859 (30.986)	Prec@5 58.203 (60.321)
Epoch: [59][2320/7045]	Time 0.129 (0.251)	Data 0.071 (0.188)	Loss 3.0093 (2.9604)	Prec@1 27.734 (30.984)	Prec@5 56.641 (60.317)
Epoch: [59][2330/7045]	Time 0.485 (0.251)	Data 0.434 (0.188)	Loss 2.9036 (2.9602)	Prec@1 31.250 (30.984)	Prec@5 58.594 (60.318)
Epoch: [59][2340/7045]	Time 0.166 (0.251)	Data 0.116 (0.188)	Loss 3.0788 (2.9603)	Prec@1 28.516 (30.977)	Prec@5 57.812 (60.317)
Epoch: [59][2350/7045]	Time 0.112 (0.251)	Data 0.060 (0.188)	Loss 2.9681 (2.9602)	Prec@1 35.938 (30.978)	Prec@5 60.547 (60.322)
Epoch: [59][2360/7045]	Time 0.101 (0.251)	Data 0.001 (0.188)	Loss 2.9938 (2.9603)	Prec@1 33.203 (30.979)	Prec@5 61.719 (60.315)
Epoch: [59][2370/7045]	Time 0.222 (0.251)	Data 0.171 (0.188)	Loss 2.9225 (2.9603)	Prec@1 32.031 (30.977)	Prec@5 60.547 (60.309)
Epoch: [59][2380/7045]	Time 0.147 (0.251)	Data 0.095 (0.188)	Loss 3.2541 (2.9605)	Prec@1 24.219 (30.974)	Prec@5 53.906 (60.307)
Epoch: [59][2390/7045]	Time 0.488 (0.251)	Data 0.437 (0.188)	Loss 2.8499 (2.9604)	Prec@1 32.812 (30.973)	Prec@5 65.625 (60.309)
Epoch: [59][2400/7045]	Time 0.182 (0.251)	Data 0.131 (0.188)	Loss 3.1557 (2.9604)	Prec@1 29.297 (30.975)	Prec@5 56.250 (60.308)
Epoch: [59][2410/7045]	Time 0.514 (0.251)	Data 0.463 (0.188)	Loss 3.0103 (2.9605)	Prec@1 29.688 (30.976)	Prec@5 58.203 (60.302)
Epoch: [59][2420/7045]	Time 0.101 (0.251)	Data 0.005 (0.188)	Loss 3.0481 (2.9606)	Prec@1 28.906 (30.973)	Prec@5 57.812 (60.299)
Epoch: [59][2430/7045]	Time 0.502 (0.251)	Data 0.451 (0.188)	Loss 2.9449 (2.9606)	Prec@1 28.516 (30.975)	Prec@5 55.859 (60.299)
Epoch: [59][2440/7045]	Time 0.199 (0.251)	Data 0.148 (0.188)	Loss 2.9285 (2.9607)	Prec@1 31.641 (30.974)	Prec@5 59.375 (60.299)
Epoch: [59][2450/7045]	Time 0.311 (0.251)	Data 0.261 (0.188)	Loss 3.0767 (2.9607)	Prec@1 26.953 (30.973)	Prec@5 56.250 (60.295)
Epoch: [59][2460/7045]	Time 0.101 (0.251)	Data 0.007 (0.188)	Loss 2.6772 (2.9608)	Prec@1 33.984 (30.970)	Prec@5 63.281 (60.291)
Epoch: [59][2470/7045]	Time 0.168 (0.251)	Data 0.115 (0.188)	Loss 3.0118 (2.9608)	Prec@1 25.391 (30.971)	Prec@5 57.812 (60.291)
Epoch: [59][2480/7045]	Time 0.153 (0.251)	Data 0.102 (0.188)	Loss 3.0958 (2.9608)	Prec@1 29.297 (30.972)	Prec@5 56.250 (60.287)
Epoch: [59][2490/7045]	Time 0.105 (0.251)	Data 0.053 (0.188)	Loss 2.9922 (2.9607)	Prec@1 26.953 (30.971)	Prec@5 56.641 (60.288)
Epoch: [59][2500/7045]	Time 0.119 (0.251)	Data 0.067 (0.188)	Loss 2.8081 (2.9608)	Prec@1 32.031 (30.964)	Prec@5 64.453 (60.286)
Epoch: [59][2510/7045]	Time 0.283 (0.251)	Data 0.227 (0.188)	Loss 2.9337 (2.9609)	Prec@1 31.250 (30.962)	Prec@5 60.938 (60.284)
Epoch: [59][2520/7045]	Time 0.487 (0.251)	Data 0.428 (0.188)	Loss 3.0183 (2.9611)	Prec@1 32.812 (30.964)	Prec@5 59.766 (60.281)
Epoch: [59][2530/7045]	Time 0.154 (0.251)	Data 0.095 (0.188)	Loss 2.9047 (2.9612)	Prec@1 31.641 (30.964)	Prec@5 60.547 (60.276)
Epoch: [59][2540/7045]	Time 0.508 (0.251)	Data 0.455 (0.188)	Loss 3.0303 (2.9612)	Prec@1 27.344 (30.966)	Prec@5 60.938 (60.273)
Epoch: [59][2550/7045]	Time 0.104 (0.251)	Data 0.051 (0.188)	Loss 2.9275 (2.9611)	Prec@1 33.984 (30.965)	Prec@5 58.984 (60.275)
Epoch: [59][2560/7045]	Time 0.164 (0.251)	Data 0.106 (0.188)	Loss 3.2741 (2.9612)	Prec@1 26.953 (30.969)	Prec@5 55.859 (60.271)
Epoch: [59][2570/7045]	Time 0.391 (0.251)	Data 0.339 (0.188)	Loss 2.8205 (2.9609)	Prec@1 35.156 (30.973)	Prec@5 64.453 (60.279)
Epoch: [59][2580/7045]	Time 0.260 (0.251)	Data 0.202 (0.188)	Loss 2.9992 (2.9608)	Prec@1 30.469 (30.974)	Prec@5 61.328 (60.282)
Epoch: [59][2590/7045]	Time 0.592 (0.251)	Data 0.539 (0.188)	Loss 2.8581 (2.9605)	Prec@1 32.031 (30.976)	Prec@5 64.062 (60.290)
Epoch: [59][2600/7045]	Time 0.210 (0.251)	Data 0.154 (0.188)	Loss 3.0635 (2.9604)	Prec@1 29.297 (30.982)	Prec@5 57.812 (60.291)
Epoch: [59][2610/7045]	Time 0.152 (0.251)	Data 0.102 (0.188)	Loss 3.0813 (2.9604)	Prec@1 27.734 (30.982)	Prec@5 55.469 (60.287)
Epoch: [59][2620/7045]	Time 0.247 (0.251)	Data 0.195 (0.188)	Loss 2.9220 (2.9602)	Prec@1 31.641 (30.988)	Prec@5 59.766 (60.290)
Epoch: [59][2630/7045]	Time 0.108 (0.251)	Data 0.056 (0.188)	Loss 3.1219 (2.9601)	Prec@1 26.953 (30.985)	Prec@5 53.516 (60.290)
Epoch: [59][2640/7045]	Time 0.297 (0.251)	Data 0.244 (0.188)	Loss 3.0213 (2.9602)	Prec@1 28.906 (30.985)	Prec@5 61.328 (60.289)
Epoch: [59][2650/7045]	Time 0.440 (0.251)	Data 0.380 (0.188)	Loss 3.0130 (2.9601)	Prec@1 27.734 (30.989)	Prec@5 58.594 (60.289)
Epoch: [59][2660/7045]	Time 0.114 (0.251)	Data 0.062 (0.188)	Loss 2.8538 (2.9603)	Prec@1 30.469 (30.986)	Prec@5 60.547 (60.288)
Epoch: [59][2670/7045]	Time 0.102 (0.251)	Data 0.047 (0.188)	Loss 3.1150 (2.9603)	Prec@1 24.609 (30.986)	Prec@5 56.641 (60.290)
Epoch: [59][2680/7045]	Time 0.587 (0.251)	Data 0.536 (0.188)	Loss 3.1430 (2.9604)	Prec@1 27.344 (30.983)	Prec@5 54.688 (60.285)
Epoch: [59][2690/7045]	Time 0.109 (0.251)	Data 0.017 (0.188)	Loss 3.0765 (2.9605)	Prec@1 31.250 (30.985)	Prec@5 57.031 (60.282)
Epoch: [59][2700/7045]	Time 0.486 (0.251)	Data 0.435 (0.188)	Loss 2.9116 (2.9602)	Prec@1 28.516 (30.988)	Prec@5 63.281 (60.287)
Epoch: [59][2710/7045]	Time 0.187 (0.251)	Data 0.136 (0.188)	Loss 3.0402 (2.9603)	Prec@1 28.906 (30.985)	Prec@5 59.766 (60.286)
Epoch: [59][2720/7045]	Time 0.111 (0.251)	Data 0.001 (0.188)	Loss 3.1289 (2.9605)	Prec@1 28.906 (30.981)	Prec@5 55.469 (60.280)
Epoch: [59][2730/7045]	Time 0.109 (0.251)	Data 0.058 (0.188)	Loss 2.7269 (2.9603)	Prec@1 35.547 (30.982)	Prec@5 67.969 (60.287)
Epoch: [59][2740/7045]	Time 0.279 (0.251)	Data 0.228 (0.188)	Loss 2.8940 (2.9603)	Prec@1 32.422 (30.981)	Prec@5 60.156 (60.286)
Epoch: [59][2750/7045]	Time 0.369 (0.251)	Data 0.318 (0.188)	Loss 2.8068 (2.9602)	Prec@1 36.328 (30.984)	Prec@5 65.234 (60.289)
Epoch: [59][2760/7045]	Time 0.142 (0.251)	Data 0.091 (0.188)	Loss 2.8092 (2.9602)	Prec@1 31.250 (30.984)	Prec@5 64.062 (60.289)
Epoch: [59][2770/7045]	Time 0.655 (0.251)	Data 0.591 (0.188)	Loss 2.6746 (2.9600)	Prec@1 31.250 (30.986)	Prec@5 65.234 (60.294)
Epoch: [59][2780/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 2.8856 (2.9597)	Prec@1 28.906 (30.986)	Prec@5 62.109 (60.301)
Epoch: [59][2790/7045]	Time 0.245 (0.251)	Data 0.194 (0.188)	Loss 3.0334 (2.9599)	Prec@1 25.781 (30.983)	Prec@5 54.297 (60.298)
Epoch: [59][2800/7045]	Time 0.344 (0.251)	Data 0.285 (0.188)	Loss 2.8073 (2.9598)	Prec@1 30.078 (30.983)	Prec@5 68.750 (60.304)
Epoch: [59][2810/7045]	Time 0.113 (0.251)	Data 0.060 (0.188)	Loss 2.8466 (2.9600)	Prec@1 32.422 (30.982)	Prec@5 61.719 (60.302)
Epoch: [59][2820/7045]	Time 0.473 (0.251)	Data 0.419 (0.188)	Loss 2.9806 (2.9601)	Prec@1 28.906 (30.978)	Prec@5 60.547 (60.299)
Epoch: [59][2830/7045]	Time 0.391 (0.251)	Data 0.339 (0.188)	Loss 2.9241 (2.9600)	Prec@1 31.641 (30.978)	Prec@5 62.891 (60.301)
Epoch: [59][2840/7045]	Time 0.310 (0.251)	Data 0.250 (0.188)	Loss 2.9945 (2.9600)	Prec@1 29.688 (30.976)	Prec@5 60.156 (60.303)
Epoch: [59][2850/7045]	Time 0.102 (0.251)	Data 0.007 (0.188)	Loss 3.2175 (2.9600)	Prec@1 26.562 (30.976)	Prec@5 55.469 (60.303)
Epoch: [59][2860/7045]	Time 0.169 (0.251)	Data 0.119 (0.188)	Loss 3.1787 (2.9602)	Prec@1 28.516 (30.974)	Prec@5 58.984 (60.300)
Epoch: [59][2870/7045]	Time 0.102 (0.251)	Data 0.051 (0.188)	Loss 2.9341 (2.9602)	Prec@1 33.594 (30.976)	Prec@5 60.156 (60.301)
Epoch: [59][2880/7045]	Time 0.099 (0.251)	Data 0.001 (0.188)	Loss 3.0919 (2.9605)	Prec@1 27.734 (30.970)	Prec@5 58.203 (60.299)
Epoch: [59][2890/7045]	Time 0.101 (0.251)	Data 0.001 (0.188)	Loss 3.1372 (2.9604)	Prec@1 28.125 (30.974)	Prec@5 54.297 (60.299)
Epoch: [59][2900/7045]	Time 0.104 (0.251)	Data 0.046 (0.188)	Loss 3.2720 (2.9605)	Prec@1 28.516 (30.977)	Prec@5 56.641 (60.301)
Epoch: [59][2910/7045]	Time 0.487 (0.251)	Data 0.436 (0.188)	Loss 2.9505 (2.9605)	Prec@1 33.203 (30.977)	Prec@5 58.984 (60.296)
Epoch: [59][2920/7045]	Time 0.099 (0.251)	Data 0.001 (0.188)	Loss 2.8308 (2.9606)	Prec@1 30.859 (30.979)	Prec@5 64.453 (60.294)
Epoch: [59][2930/7045]	Time 0.652 (0.251)	Data 0.596 (0.188)	Loss 2.9374 (2.9606)	Prec@1 32.812 (30.976)	Prec@5 59.375 (60.293)
Epoch: [59][2940/7045]	Time 0.108 (0.251)	Data 0.057 (0.188)	Loss 2.9378 (2.9608)	Prec@1 30.859 (30.970)	Prec@5 62.500 (60.290)
Epoch: [59][2950/7045]	Time 0.359 (0.251)	Data 0.307 (0.188)	Loss 2.8822 (2.9608)	Prec@1 30.859 (30.969)	Prec@5 63.672 (60.288)
Epoch: [59][2960/7045]	Time 0.254 (0.251)	Data 0.203 (0.188)	Loss 3.1227 (2.9611)	Prec@1 25.391 (30.966)	Prec@5 57.812 (60.284)
Epoch: [59][2970/7045]	Time 0.279 (0.251)	Data 0.223 (0.188)	Loss 2.9936 (2.9611)	Prec@1 32.422 (30.966)	Prec@5 62.500 (60.285)
Epoch: [59][2980/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 3.3393 (2.9612)	Prec@1 25.000 (30.963)	Prec@5 51.172 (60.280)
Epoch: [59][2990/7045]	Time 0.162 (0.251)	Data 0.105 (0.188)	Loss 3.2003 (2.9613)	Prec@1 28.125 (30.966)	Prec@5 52.734 (60.276)
Epoch: [59][3000/7045]	Time 0.224 (0.251)	Data 0.173 (0.188)	Loss 2.8163 (2.9611)	Prec@1 33.594 (30.967)	Prec@5 58.984 (60.277)
Epoch: [59][3010/7045]	Time 0.137 (0.251)	Data 0.087 (0.188)	Loss 2.7885 (2.9609)	Prec@1 35.156 (30.967)	Prec@5 64.844 (60.283)
Epoch: [59][3020/7045]	Time 0.564 (0.251)	Data 0.513 (0.188)	Loss 2.8691 (2.9611)	Prec@1 28.125 (30.964)	Prec@5 65.625 (60.280)
Epoch: [59][3030/7045]	Time 0.101 (0.251)	Data 0.001 (0.188)	Loss 2.7579 (2.9611)	Prec@1 30.469 (30.961)	Prec@5 65.625 (60.281)
Epoch: [59][3040/7045]	Time 0.635 (0.251)	Data 0.584 (0.188)	Loss 3.2367 (2.9610)	Prec@1 29.688 (30.962)	Prec@5 55.469 (60.280)
Epoch: [59][3050/7045]	Time 0.097 (0.251)	Data 0.001 (0.188)	Loss 2.9284 (2.9611)	Prec@1 27.344 (30.959)	Prec@5 61.328 (60.276)
Epoch: [59][3060/7045]	Time 0.660 (0.251)	Data 0.603 (0.188)	Loss 2.8389 (2.9611)	Prec@1 30.469 (30.960)	Prec@5 60.156 (60.276)
Epoch: [59][3070/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 3.0356 (2.9613)	Prec@1 27.344 (30.958)	Prec@5 61.328 (60.276)
Epoch: [59][3080/7045]	Time 0.639 (0.251)	Data 0.588 (0.188)	Loss 2.8703 (2.9615)	Prec@1 32.031 (30.953)	Prec@5 62.109 (60.275)
Epoch: [59][3090/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 2.9355 (2.9615)	Prec@1 31.641 (30.954)	Prec@5 58.594 (60.275)
Epoch: [59][3100/7045]	Time 0.195 (0.251)	Data 0.134 (0.188)	Loss 2.9662 (2.9613)	Prec@1 28.516 (30.954)	Prec@5 58.594 (60.278)
Epoch: [59][3110/7045]	Time 0.101 (0.251)	Data 0.045 (0.188)	Loss 2.9622 (2.9612)	Prec@1 27.734 (30.956)	Prec@5 61.719 (60.281)
Epoch: [59][3120/7045]	Time 0.151 (0.251)	Data 0.099 (0.188)	Loss 3.0458 (2.9613)	Prec@1 30.078 (30.957)	Prec@5 57.812 (60.278)
Epoch: [59][3130/7045]	Time 0.103 (0.251)	Data 0.001 (0.187)	Loss 2.8872 (2.9613)	Prec@1 30.078 (30.954)	Prec@5 60.938 (60.280)
Epoch: [59][3140/7045]	Time 0.101 (0.251)	Data 0.007 (0.187)	Loss 2.9803 (2.9614)	Prec@1 32.031 (30.953)	Prec@5 58.984 (60.276)
Epoch: [59][3150/7045]	Time 0.440 (0.251)	Data 0.388 (0.187)	Loss 3.0833 (2.9614)	Prec@1 26.562 (30.951)	Prec@5 56.641 (60.274)
Epoch: [59][3160/7045]	Time 0.096 (0.251)	Data 0.001 (0.187)	Loss 2.9976 (2.9613)	Prec@1 31.250 (30.955)	Prec@5 61.328 (60.272)
Epoch: [59][3170/7045]	Time 0.518 (0.251)	Data 0.460 (0.187)	Loss 2.8318 (2.9613)	Prec@1 30.859 (30.953)	Prec@5 64.062 (60.273)
Epoch: [59][3180/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 2.8593 (2.9614)	Prec@1 28.125 (30.950)	Prec@5 64.844 (60.272)
Epoch: [59][3190/7045]	Time 0.424 (0.251)	Data 0.372 (0.187)	Loss 2.8452 (2.9613)	Prec@1 31.250 (30.949)	Prec@5 63.281 (60.276)
Epoch: [59][3200/7045]	Time 0.101 (0.251)	Data 0.007 (0.187)	Loss 2.8248 (2.9612)	Prec@1 33.984 (30.950)	Prec@5 60.547 (60.276)
Epoch: [59][3210/7045]	Time 0.108 (0.251)	Data 0.001 (0.187)	Loss 2.9494 (2.9614)	Prec@1 29.688 (30.949)	Prec@5 63.281 (60.272)
Epoch: [59][3220/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 3.0246 (2.9614)	Prec@1 28.125 (30.949)	Prec@5 59.766 (60.276)
Epoch: [59][3230/7045]	Time 0.100 (0.251)	Data 0.001 (0.187)	Loss 2.9328 (2.9615)	Prec@1 31.250 (30.951)	Prec@5 60.938 (60.276)
Epoch: [59][3240/7045]	Time 0.190 (0.251)	Data 0.140 (0.187)	Loss 2.9901 (2.9615)	Prec@1 30.469 (30.952)	Prec@5 57.422 (60.272)
Epoch: [59][3250/7045]	Time 0.102 (0.251)	Data 0.006 (0.187)	Loss 2.9884 (2.9616)	Prec@1 31.250 (30.952)	Prec@5 60.938 (60.274)
Epoch: [59][3260/7045]	Time 0.651 (0.251)	Data 0.601 (0.187)	Loss 2.9587 (2.9615)	Prec@1 31.641 (30.953)	Prec@5 63.281 (60.279)
Epoch: [59][3270/7045]	Time 0.096 (0.251)	Data 0.001 (0.187)	Loss 3.1248 (2.9615)	Prec@1 26.953 (30.950)	Prec@5 54.688 (60.276)
Epoch: [59][3280/7045]	Time 0.469 (0.251)	Data 0.411 (0.187)	Loss 3.0091 (2.9615)	Prec@1 30.859 (30.952)	Prec@5 62.500 (60.275)
Epoch: [59][3290/7045]	Time 0.099 (0.251)	Data 0.001 (0.187)	Loss 3.0065 (2.9614)	Prec@1 29.297 (30.956)	Prec@5 61.328 (60.277)
Epoch: [59][3300/7045]	Time 0.108 (0.251)	Data 0.001 (0.187)	Loss 2.9436 (2.9612)	Prec@1 30.859 (30.959)	Prec@5 60.547 (60.284)
Epoch: [59][3310/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.9031 (2.9610)	Prec@1 33.203 (30.960)	Prec@5 60.938 (60.286)
Epoch: [59][3320/7045]	Time 0.112 (0.251)	Data 0.054 (0.187)	Loss 2.7548 (2.9609)	Prec@1 29.688 (30.957)	Prec@5 63.672 (60.285)
Epoch: [59][3330/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.9514 (2.9609)	Prec@1 29.688 (30.955)	Prec@5 59.375 (60.286)
Epoch: [59][3340/7045]	Time 0.210 (0.251)	Data 0.152 (0.187)	Loss 3.1467 (2.9612)	Prec@1 27.344 (30.949)	Prec@5 60.547 (60.280)
Epoch: [59][3350/7045]	Time 0.316 (0.251)	Data 0.265 (0.187)	Loss 3.0697 (2.9614)	Prec@1 26.953 (30.947)	Prec@5 60.938 (60.274)
Epoch: [59][3360/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.9934 (2.9612)	Prec@1 32.422 (30.952)	Prec@5 61.328 (60.279)
Epoch: [59][3370/7045]	Time 0.569 (0.251)	Data 0.518 (0.187)	Loss 2.9869 (2.9611)	Prec@1 28.906 (30.953)	Prec@5 60.156 (60.280)
Epoch: [59][3380/7045]	Time 0.102 (0.251)	Data 0.019 (0.187)	Loss 2.8011 (2.9610)	Prec@1 32.031 (30.955)	Prec@5 61.719 (60.281)
Epoch: [59][3390/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.1607 (2.9613)	Prec@1 32.422 (30.951)	Prec@5 55.859 (60.272)
Epoch: [59][3400/7045]	Time 0.568 (0.251)	Data 0.517 (0.187)	Loss 3.0713 (2.9614)	Prec@1 27.734 (30.949)	Prec@5 58.984 (60.269)
Epoch: [59][3410/7045]	Time 0.103 (0.251)	Data 0.001 (0.187)	Loss 3.1421 (2.9613)	Prec@1 30.078 (30.950)	Prec@5 59.375 (60.272)
Epoch: [59][3420/7045]	Time 0.129 (0.251)	Data 0.077 (0.187)	Loss 2.8099 (2.9614)	Prec@1 36.328 (30.950)	Prec@5 62.109 (60.271)
Epoch: [59][3430/7045]	Time 0.674 (0.251)	Data 0.613 (0.187)	Loss 2.9768 (2.9612)	Prec@1 28.906 (30.953)	Prec@5 58.984 (60.275)
Epoch: [59][3440/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.0229 (2.9612)	Prec@1 32.812 (30.955)	Prec@5 59.766 (60.277)
Epoch: [59][3450/7045]	Time 0.457 (0.251)	Data 0.406 (0.187)	Loss 2.9643 (2.9612)	Prec@1 29.688 (30.954)	Prec@5 60.938 (60.278)
Epoch: [59][3460/7045]	Time 0.289 (0.251)	Data 0.237 (0.187)	Loss 3.0928 (2.9613)	Prec@1 32.812 (30.957)	Prec@5 54.297 (60.277)
Epoch: [59][3470/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.0265 (2.9614)	Prec@1 27.734 (30.954)	Prec@5 55.859 (60.274)
Epoch: [59][3480/7045]	Time 0.629 (0.251)	Data 0.572 (0.187)	Loss 3.1744 (2.9615)	Prec@1 26.953 (30.949)	Prec@5 57.031 (60.269)
Epoch: [59][3490/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.7955 (2.9615)	Prec@1 33.594 (30.950)	Prec@5 62.500 (60.270)
Epoch: [59][3500/7045]	Time 0.203 (0.251)	Data 0.152 (0.187)	Loss 3.0550 (2.9618)	Prec@1 28.516 (30.945)	Prec@5 57.812 (60.262)
Epoch: [59][3510/7045]	Time 0.219 (0.251)	Data 0.167 (0.187)	Loss 2.9709 (2.9619)	Prec@1 31.250 (30.942)	Prec@5 58.203 (60.259)
Epoch: [59][3520/7045]	Time 0.100 (0.251)	Data 0.001 (0.187)	Loss 3.0342 (2.9619)	Prec@1 29.297 (30.943)	Prec@5 58.984 (60.262)
Epoch: [59][3530/7045]	Time 0.201 (0.251)	Data 0.150 (0.187)	Loss 3.0981 (2.9619)	Prec@1 26.953 (30.942)	Prec@5 58.594 (60.261)
Epoch: [59][3540/7045]	Time 0.134 (0.251)	Data 0.083 (0.187)	Loss 3.2043 (2.9622)	Prec@1 27.344 (30.938)	Prec@5 54.688 (60.258)
Epoch: [59][3550/7045]	Time 0.125 (0.251)	Data 0.073 (0.187)	Loss 3.0957 (2.9624)	Prec@1 28.125 (30.934)	Prec@5 56.250 (60.254)
Epoch: [59][3560/7045]	Time 0.102 (0.251)	Data 0.019 (0.187)	Loss 3.0503 (2.9625)	Prec@1 30.859 (30.931)	Prec@5 59.375 (60.252)
Epoch: [59][3570/7045]	Time 0.252 (0.251)	Data 0.193 (0.187)	Loss 2.8153 (2.9624)	Prec@1 34.766 (30.934)	Prec@5 59.766 (60.252)
Epoch: [59][3580/7045]	Time 0.590 (0.251)	Data 0.539 (0.187)	Loss 2.7439 (2.9625)	Prec@1 32.812 (30.932)	Prec@5 62.500 (60.249)
Epoch: [59][3590/7045]	Time 0.102 (0.251)	Data 0.006 (0.187)	Loss 3.0659 (2.9626)	Prec@1 27.344 (30.931)	Prec@5 57.812 (60.248)
Epoch: [59][3600/7045]	Time 0.174 (0.251)	Data 0.123 (0.187)	Loss 3.0629 (2.9626)	Prec@1 28.125 (30.931)	Prec@5 57.812 (60.247)
Epoch: [59][3610/7045]	Time 0.308 (0.251)	Data 0.257 (0.187)	Loss 3.1063 (2.9625)	Prec@1 27.344 (30.933)	Prec@5 57.422 (60.249)
Epoch: [59][3620/7045]	Time 0.102 (0.251)	Data 0.012 (0.187)	Loss 2.9265 (2.9625)	Prec@1 34.375 (30.936)	Prec@5 58.594 (60.250)
Epoch: [59][3630/7045]	Time 0.472 (0.251)	Data 0.421 (0.187)	Loss 2.8644 (2.9626)	Prec@1 35.547 (30.936)	Prec@5 61.719 (60.247)
Epoch: [59][3640/7045]	Time 0.219 (0.251)	Data 0.168 (0.187)	Loss 3.0242 (2.9626)	Prec@1 30.469 (30.937)	Prec@5 60.156 (60.247)
Epoch: [59][3650/7045]	Time 0.470 (0.251)	Data 0.419 (0.187)	Loss 2.9866 (2.9627)	Prec@1 30.469 (30.937)	Prec@5 60.547 (60.247)
Epoch: [59][3660/7045]	Time 0.153 (0.251)	Data 0.103 (0.187)	Loss 2.8765 (2.9627)	Prec@1 30.859 (30.937)	Prec@5 59.375 (60.243)
Epoch: [59][3670/7045]	Time 0.102 (0.251)	Data 0.017 (0.187)	Loss 3.2132 (2.9628)	Prec@1 28.906 (30.935)	Prec@5 55.469 (60.243)
Epoch: [59][3680/7045]	Time 0.112 (0.251)	Data 0.061 (0.187)	Loss 3.1709 (2.9630)	Prec@1 27.734 (30.933)	Prec@5 54.297 (60.238)
Epoch: [59][3690/7045]	Time 0.219 (0.251)	Data 0.166 (0.187)	Loss 2.7592 (2.9630)	Prec@1 37.109 (30.932)	Prec@5 64.844 (60.235)
Epoch: [59][3700/7045]	Time 0.195 (0.251)	Data 0.144 (0.187)	Loss 2.9796 (2.9629)	Prec@1 28.906 (30.931)	Prec@5 57.422 (60.235)
Epoch: [59][3710/7045]	Time 0.133 (0.251)	Data 0.082 (0.187)	Loss 2.8609 (2.9630)	Prec@1 32.422 (30.933)	Prec@5 61.328 (60.233)
Epoch: [59][3720/7045]	Time 0.641 (0.251)	Data 0.590 (0.187)	Loss 2.7056 (2.9629)	Prec@1 37.109 (30.937)	Prec@5 67.578 (60.236)
Epoch: [59][3730/7045]	Time 0.160 (0.251)	Data 0.109 (0.187)	Loss 2.9515 (2.9628)	Prec@1 32.422 (30.935)	Prec@5 63.672 (60.240)
Epoch: [59][3740/7045]	Time 0.511 (0.251)	Data 0.460 (0.187)	Loss 2.8261 (2.9627)	Prec@1 31.641 (30.936)	Prec@5 59.766 (60.242)
Epoch: [59][3750/7045]	Time 0.182 (0.251)	Data 0.122 (0.187)	Loss 3.0989 (2.9629)	Prec@1 27.734 (30.936)	Prec@5 57.031 (60.241)
Epoch: [59][3760/7045]	Time 0.149 (0.251)	Data 0.098 (0.187)	Loss 2.9258 (2.9629)	Prec@1 30.469 (30.934)	Prec@5 63.672 (60.240)
Epoch: [59][3770/7045]	Time 0.394 (0.251)	Data 0.343 (0.187)	Loss 3.1944 (2.9632)	Prec@1 24.609 (30.929)	Prec@5 55.859 (60.236)
Epoch: [59][3780/7045]	Time 0.108 (0.251)	Data 0.001 (0.187)	Loss 2.8191 (2.9631)	Prec@1 33.594 (30.927)	Prec@5 65.625 (60.238)
Epoch: [59][3790/7045]	Time 0.356 (0.251)	Data 0.298 (0.187)	Loss 2.7990 (2.9630)	Prec@1 33.594 (30.928)	Prec@5 62.500 (60.241)
Epoch: [59][3800/7045]	Time 0.109 (0.251)	Data 0.057 (0.187)	Loss 2.9719 (2.9631)	Prec@1 31.641 (30.925)	Prec@5 60.938 (60.236)
Epoch: [59][3810/7045]	Time 0.110 (0.251)	Data 0.001 (0.187)	Loss 3.1149 (2.9633)	Prec@1 32.812 (30.924)	Prec@5 57.422 (60.235)
Epoch: [59][3820/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.1444 (2.9634)	Prec@1 29.688 (30.923)	Prec@5 51.953 (60.232)
Epoch: [59][3830/7045]	Time 0.321 (0.251)	Data 0.270 (0.187)	Loss 3.0545 (2.9634)	Prec@1 29.688 (30.919)	Prec@5 57.031 (60.228)
Epoch: [59][3840/7045]	Time 0.101 (0.251)	Data 0.003 (0.187)	Loss 3.0352 (2.9633)	Prec@1 29.297 (30.923)	Prec@5 58.984 (60.230)
Epoch: [59][3850/7045]	Time 0.359 (0.251)	Data 0.307 (0.187)	Loss 2.8922 (2.9631)	Prec@1 29.688 (30.926)	Prec@5 60.938 (60.233)
Epoch: [59][3860/7045]	Time 0.156 (0.251)	Data 0.104 (0.187)	Loss 2.9087 (2.9631)	Prec@1 28.516 (30.926)	Prec@5 60.547 (60.235)
Epoch: [59][3870/7045]	Time 0.200 (0.251)	Data 0.150 (0.187)	Loss 3.0227 (2.9633)	Prec@1 28.906 (30.920)	Prec@5 56.250 (60.229)
Epoch: [59][3880/7045]	Time 0.356 (0.251)	Data 0.306 (0.187)	Loss 2.8634 (2.9634)	Prec@1 34.766 (30.918)	Prec@5 61.328 (60.227)
Epoch: [59][3890/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 2.8856 (2.9635)	Prec@1 33.984 (30.921)	Prec@5 59.375 (60.227)
Epoch: [59][3900/7045]	Time 0.576 (0.251)	Data 0.526 (0.187)	Loss 3.2899 (2.9633)	Prec@1 25.391 (30.924)	Prec@5 52.734 (60.230)
Epoch: [59][3910/7045]	Time 0.193 (0.251)	Data 0.142 (0.187)	Loss 2.9429 (2.9633)	Prec@1 30.859 (30.925)	Prec@5 58.594 (60.229)
Epoch: [59][3920/7045]	Time 0.274 (0.251)	Data 0.223 (0.187)	Loss 2.9502 (2.9633)	Prec@1 28.906 (30.924)	Prec@5 59.766 (60.230)
Epoch: [59][3930/7045]	Time 0.104 (0.251)	Data 0.004 (0.187)	Loss 2.8971 (2.9634)	Prec@1 30.469 (30.925)	Prec@5 61.328 (60.229)
Epoch: [59][3940/7045]	Time 0.111 (0.251)	Data 0.060 (0.187)	Loss 2.8928 (2.9634)	Prec@1 30.469 (30.925)	Prec@5 59.375 (60.226)
Epoch: [59][3950/7045]	Time 0.193 (0.251)	Data 0.142 (0.187)	Loss 2.9731 (2.9633)	Prec@1 31.250 (30.924)	Prec@5 60.547 (60.226)
Epoch: [59][3960/7045]	Time 0.240 (0.251)	Data 0.181 (0.187)	Loss 2.9105 (2.9633)	Prec@1 30.078 (30.924)	Prec@5 61.719 (60.229)
Epoch: [59][3970/7045]	Time 0.273 (0.251)	Data 0.221 (0.187)	Loss 2.9676 (2.9632)	Prec@1 30.078 (30.922)	Prec@5 60.547 (60.229)
Epoch: [59][3980/7045]	Time 0.290 (0.251)	Data 0.238 (0.187)	Loss 2.9630 (2.9634)	Prec@1 28.516 (30.917)	Prec@5 57.812 (60.226)
Epoch: [59][3990/7045]	Time 0.455 (0.251)	Data 0.399 (0.187)	Loss 3.0070 (2.9635)	Prec@1 30.469 (30.917)	Prec@5 61.719 (60.225)
Epoch: [59][4000/7045]	Time 0.205 (0.251)	Data 0.153 (0.187)	Loss 2.8562 (2.9635)	Prec@1 33.203 (30.917)	Prec@5 62.891 (60.223)
Epoch: [59][4010/7045]	Time 0.313 (0.251)	Data 0.262 (0.187)	Loss 2.7814 (2.9635)	Prec@1 37.891 (30.916)	Prec@5 64.844 (60.222)
Epoch: [59][4020/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.7028 (2.9636)	Prec@1 34.375 (30.916)	Prec@5 64.844 (60.221)
Epoch: [59][4030/7045]	Time 0.472 (0.251)	Data 0.421 (0.187)	Loss 3.0412 (2.9635)	Prec@1 27.344 (30.914)	Prec@5 60.938 (60.222)
Epoch: [59][4040/7045]	Time 0.283 (0.251)	Data 0.232 (0.187)	Loss 3.1460 (2.9636)	Prec@1 28.125 (30.911)	Prec@5 57.422 (60.221)
Epoch: [59][4050/7045]	Time 0.410 (0.251)	Data 0.357 (0.187)	Loss 2.9332 (2.9638)	Prec@1 31.250 (30.907)	Prec@5 63.281 (60.223)
Epoch: [59][4060/7045]	Time 0.103 (0.251)	Data 0.050 (0.187)	Loss 2.9302 (2.9637)	Prec@1 32.422 (30.912)	Prec@5 61.719 (60.226)
Epoch: [59][4070/7045]	Time 0.359 (0.251)	Data 0.309 (0.187)	Loss 2.8071 (2.9638)	Prec@1 35.156 (30.913)	Prec@5 66.016 (60.226)
Epoch: [59][4080/7045]	Time 0.156 (0.251)	Data 0.104 (0.187)	Loss 2.9232 (2.9637)	Prec@1 34.766 (30.915)	Prec@5 58.984 (60.228)
Epoch: [59][4090/7045]	Time 0.110 (0.251)	Data 0.001 (0.187)	Loss 2.8747 (2.9637)	Prec@1 35.938 (30.915)	Prec@5 60.156 (60.230)
Epoch: [59][4100/7045]	Time 0.113 (0.251)	Data 0.063 (0.187)	Loss 3.1132 (2.9635)	Prec@1 28.906 (30.920)	Prec@5 58.203 (60.231)
Epoch: [59][4110/7045]	Time 0.322 (0.251)	Data 0.272 (0.187)	Loss 2.9162 (2.9633)	Prec@1 30.859 (30.922)	Prec@5 59.766 (60.235)
Epoch: [59][4120/7045]	Time 0.260 (0.251)	Data 0.209 (0.187)	Loss 2.8373 (2.9634)	Prec@1 35.547 (30.921)	Prec@5 61.719 (60.236)
Epoch: [59][4130/7045]	Time 0.114 (0.251)	Data 0.063 (0.187)	Loss 2.9103 (2.9634)	Prec@1 30.078 (30.922)	Prec@5 64.062 (60.235)
Epoch: [59][4140/7045]	Time 0.118 (0.251)	Data 0.067 (0.187)	Loss 3.0517 (2.9635)	Prec@1 30.078 (30.918)	Prec@5 62.109 (60.234)
Epoch: [59][4150/7045]	Time 0.494 (0.251)	Data 0.442 (0.187)	Loss 2.7720 (2.9635)	Prec@1 32.812 (30.917)	Prec@5 63.672 (60.233)
Epoch: [59][4160/7045]	Time 0.101 (0.251)	Data 0.009 (0.187)	Loss 3.0220 (2.9636)	Prec@1 29.688 (30.915)	Prec@5 61.328 (60.229)
Epoch: [59][4170/7045]	Time 0.440 (0.251)	Data 0.390 (0.187)	Loss 3.0305 (2.9636)	Prec@1 26.953 (30.913)	Prec@5 60.938 (60.230)
Epoch: [59][4180/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.9522 (2.9636)	Prec@1 30.469 (30.913)	Prec@5 59.375 (60.231)
Epoch: [59][4190/7045]	Time 0.108 (0.251)	Data 0.056 (0.187)	Loss 3.0074 (2.9636)	Prec@1 32.812 (30.915)	Prec@5 61.328 (60.234)
Epoch: [59][4200/7045]	Time 0.098 (0.251)	Data 0.045 (0.187)	Loss 2.6148 (2.9634)	Prec@1 38.281 (30.920)	Prec@5 66.016 (60.237)
Epoch: [59][4210/7045]	Time 0.324 (0.251)	Data 0.273 (0.187)	Loss 3.3081 (2.9635)	Prec@1 25.391 (30.918)	Prec@5 53.125 (60.233)
Epoch: [59][4220/7045]	Time 0.174 (0.251)	Data 0.123 (0.187)	Loss 2.9106 (2.9636)	Prec@1 31.250 (30.915)	Prec@5 60.938 (60.233)
Epoch: [59][4230/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.9298 (2.9637)	Prec@1 33.594 (30.913)	Prec@5 63.281 (60.232)
Epoch: [59][4240/7045]	Time 0.163 (0.251)	Data 0.111 (0.187)	Loss 3.1466 (2.9638)	Prec@1 25.000 (30.910)	Prec@5 58.984 (60.227)
Epoch: [59][4250/7045]	Time 0.283 (0.251)	Data 0.230 (0.187)	Loss 2.8771 (2.9638)	Prec@1 30.469 (30.910)	Prec@5 61.719 (60.225)
Epoch: [59][4260/7045]	Time 0.206 (0.251)	Data 0.155 (0.187)	Loss 2.9319 (2.9639)	Prec@1 30.078 (30.907)	Prec@5 64.062 (60.223)
Epoch: [59][4270/7045]	Time 0.101 (0.251)	Data 0.048 (0.187)	Loss 2.9994 (2.9640)	Prec@1 27.344 (30.903)	Prec@5 62.500 (60.221)
Epoch: [59][4280/7045]	Time 0.679 (0.251)	Data 0.628 (0.188)	Loss 2.9091 (2.9641)	Prec@1 31.250 (30.900)	Prec@5 57.031 (60.216)
Epoch: [59][4290/7045]	Time 0.214 (0.251)	Data 0.162 (0.187)	Loss 3.0179 (2.9642)	Prec@1 31.250 (30.898)	Prec@5 59.375 (60.214)
Epoch: [59][4300/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 3.0719 (2.9644)	Prec@1 28.516 (30.895)	Prec@5 56.250 (60.208)
Epoch: [59][4310/7045]	Time 0.384 (0.251)	Data 0.332 (0.187)	Loss 3.0861 (2.9645)	Prec@1 28.125 (30.895)	Prec@5 57.422 (60.208)
Epoch: [59][4320/7045]	Time 0.249 (0.251)	Data 0.198 (0.187)	Loss 2.9231 (2.9645)	Prec@1 31.250 (30.892)	Prec@5 60.156 (60.204)
Epoch: [59][4330/7045]	Time 0.205 (0.251)	Data 0.154 (0.188)	Loss 3.1729 (2.9646)	Prec@1 26.172 (30.889)	Prec@5 54.297 (60.201)
Epoch: [59][4340/7045]	Time 0.206 (0.251)	Data 0.155 (0.188)	Loss 3.0969 (2.9646)	Prec@1 30.078 (30.889)	Prec@5 57.422 (60.200)
Epoch: [59][4350/7045]	Time 0.210 (0.251)	Data 0.159 (0.188)	Loss 2.9917 (2.9647)	Prec@1 27.344 (30.886)	Prec@5 58.594 (60.197)
Epoch: [59][4360/7045]	Time 0.325 (0.251)	Data 0.274 (0.188)	Loss 2.9500 (2.9646)	Prec@1 29.297 (30.886)	Prec@5 59.375 (60.200)
Epoch: [59][4370/7045]	Time 0.301 (0.251)	Data 0.250 (0.188)	Loss 2.9943 (2.9646)	Prec@1 30.469 (30.886)	Prec@5 58.594 (60.200)
Epoch: [59][4380/7045]	Time 0.156 (0.251)	Data 0.105 (0.188)	Loss 3.0179 (2.9645)	Prec@1 27.344 (30.886)	Prec@5 58.594 (60.202)
Epoch: [59][4390/7045]	Time 0.373 (0.251)	Data 0.321 (0.188)	Loss 2.8482 (2.9645)	Prec@1 33.594 (30.886)	Prec@5 60.156 (60.202)
Epoch: [59][4400/7045]	Time 0.143 (0.251)	Data 0.092 (0.188)	Loss 3.0261 (2.9645)	Prec@1 25.781 (30.887)	Prec@5 54.297 (60.201)
Epoch: [59][4410/7045]	Time 0.231 (0.251)	Data 0.180 (0.188)	Loss 2.8287 (2.9645)	Prec@1 32.812 (30.887)	Prec@5 68.359 (60.201)
Epoch: [59][4420/7045]	Time 0.115 (0.251)	Data 0.064 (0.188)	Loss 2.8839 (2.9644)	Prec@1 29.688 (30.886)	Prec@5 63.672 (60.202)
Epoch: [59][4430/7045]	Time 0.107 (0.251)	Data 0.056 (0.188)	Loss 2.9524 (2.9645)	Prec@1 33.203 (30.884)	Prec@5 60.938 (60.198)
Epoch: [59][4440/7045]	Time 0.196 (0.251)	Data 0.137 (0.188)	Loss 2.8820 (2.9645)	Prec@1 32.031 (30.884)	Prec@5 60.547 (60.199)
Epoch: [59][4450/7045]	Time 0.109 (0.251)	Data 0.057 (0.188)	Loss 3.1013 (2.9646)	Prec@1 30.078 (30.884)	Prec@5 55.078 (60.197)
Epoch: [59][4460/7045]	Time 0.449 (0.251)	Data 0.399 (0.188)	Loss 3.0450 (2.9645)	Prec@1 28.125 (30.886)	Prec@5 57.422 (60.198)
Epoch: [59][4470/7045]	Time 0.110 (0.251)	Data 0.058 (0.188)	Loss 3.0610 (2.9646)	Prec@1 30.469 (30.885)	Prec@5 58.203 (60.196)
Epoch: [59][4480/7045]	Time 0.503 (0.251)	Data 0.444 (0.188)	Loss 2.9293 (2.9646)	Prec@1 33.203 (30.884)	Prec@5 60.156 (60.193)
Epoch: [59][4490/7045]	Time 0.194 (0.251)	Data 0.144 (0.188)	Loss 3.0778 (2.9645)	Prec@1 29.688 (30.887)	Prec@5 57.031 (60.195)
Epoch: [59][4500/7045]	Time 0.311 (0.251)	Data 0.258 (0.188)	Loss 3.1842 (2.9647)	Prec@1 29.688 (30.886)	Prec@5 55.078 (60.191)
Epoch: [59][4510/7045]	Time 0.168 (0.251)	Data 0.117 (0.188)	Loss 2.9775 (2.9647)	Prec@1 32.031 (30.886)	Prec@5 57.422 (60.192)
Epoch: [59][4520/7045]	Time 0.343 (0.251)	Data 0.291 (0.188)	Loss 2.8248 (2.9649)	Prec@1 34.766 (30.884)	Prec@5 59.375 (60.188)
Epoch: [59][4530/7045]	Time 0.357 (0.251)	Data 0.298 (0.188)	Loss 3.1743 (2.9650)	Prec@1 23.828 (30.884)	Prec@5 53.125 (60.185)
Epoch: [59][4540/7045]	Time 0.122 (0.251)	Data 0.070 (0.188)	Loss 2.9587 (2.9651)	Prec@1 33.203 (30.881)	Prec@5 60.547 (60.181)
Epoch: [59][4550/7045]	Time 0.553 (0.251)	Data 0.495 (0.188)	Loss 2.9577 (2.9651)	Prec@1 29.688 (30.879)	Prec@5 61.328 (60.180)
Epoch: [59][4560/7045]	Time 0.211 (0.251)	Data 0.161 (0.188)	Loss 2.9590 (2.9652)	Prec@1 30.078 (30.877)	Prec@5 59.375 (60.176)
Epoch: [59][4570/7045]	Time 0.583 (0.251)	Data 0.530 (0.188)	Loss 3.0348 (2.9654)	Prec@1 33.594 (30.874)	Prec@5 58.984 (60.174)
Epoch: [59][4580/7045]	Time 0.276 (0.251)	Data 0.225 (0.188)	Loss 2.8607 (2.9654)	Prec@1 32.812 (30.875)	Prec@5 59.375 (60.173)
Epoch: [59][4590/7045]	Time 0.517 (0.251)	Data 0.467 (0.188)	Loss 2.9888 (2.9654)	Prec@1 31.250 (30.878)	Prec@5 58.984 (60.174)
Epoch: [59][4600/7045]	Time 0.259 (0.251)	Data 0.209 (0.188)	Loss 2.9754 (2.9654)	Prec@1 28.125 (30.879)	Prec@5 59.375 (60.172)
Epoch: [59][4610/7045]	Time 0.110 (0.251)	Data 0.006 (0.188)	Loss 2.7546 (2.9653)	Prec@1 35.938 (30.883)	Prec@5 61.719 (60.174)
Epoch: [59][4620/7045]	Time 0.111 (0.251)	Data 0.060 (0.188)	Loss 3.2144 (2.9654)	Prec@1 25.781 (30.884)	Prec@5 56.250 (60.174)
Epoch: [59][4630/7045]	Time 0.197 (0.251)	Data 0.146 (0.188)	Loss 2.7289 (2.9652)	Prec@1 35.156 (30.891)	Prec@5 65.234 (60.176)
Epoch: [59][4640/7045]	Time 0.111 (0.251)	Data 0.060 (0.188)	Loss 2.6314 (2.9652)	Prec@1 36.328 (30.890)	Prec@5 67.188 (60.175)
Epoch: [59][4650/7045]	Time 0.169 (0.251)	Data 0.118 (0.188)	Loss 3.2504 (2.9652)	Prec@1 27.734 (30.890)	Prec@5 53.906 (60.175)
Epoch: [59][4660/7045]	Time 0.102 (0.251)	Data 0.047 (0.188)	Loss 2.9701 (2.9652)	Prec@1 32.812 (30.890)	Prec@5 60.547 (60.177)
Epoch: [59][4670/7045]	Time 0.149 (0.251)	Data 0.098 (0.188)	Loss 2.9378 (2.9651)	Prec@1 30.859 (30.890)	Prec@5 58.594 (60.179)
Epoch: [59][4680/7045]	Time 0.102 (0.251)	Data 0.007 (0.188)	Loss 2.7884 (2.9651)	Prec@1 30.859 (30.887)	Prec@5 61.328 (60.177)
Epoch: [59][4690/7045]	Time 0.145 (0.251)	Data 0.093 (0.188)	Loss 2.7987 (2.9652)	Prec@1 33.984 (30.887)	Prec@5 63.672 (60.176)
Epoch: [59][4700/7045]	Time 0.105 (0.251)	Data 0.054 (0.188)	Loss 3.0256 (2.9651)	Prec@1 25.391 (30.887)	Prec@5 58.594 (60.177)
Epoch: [59][4710/7045]	Time 0.238 (0.251)	Data 0.186 (0.188)	Loss 3.0514 (2.9651)	Prec@1 28.516 (30.888)	Prec@5 58.203 (60.176)
Epoch: [59][4720/7045]	Time 0.102 (0.251)	Data 0.010 (0.188)	Loss 3.3068 (2.9653)	Prec@1 28.125 (30.888)	Prec@5 51.953 (60.172)
Epoch: [59][4730/7045]	Time 0.397 (0.251)	Data 0.344 (0.188)	Loss 2.9863 (2.9654)	Prec@1 30.859 (30.888)	Prec@5 59.766 (60.168)
Epoch: [59][4740/7045]	Time 0.110 (0.251)	Data 0.044 (0.188)	Loss 3.0759 (2.9654)	Prec@1 31.250 (30.887)	Prec@5 60.938 (60.169)
Epoch: [59][4750/7045]	Time 0.310 (0.251)	Data 0.259 (0.188)	Loss 2.8990 (2.9653)	Prec@1 31.641 (30.889)	Prec@5 60.547 (60.173)
Epoch: [59][4760/7045]	Time 0.216 (0.251)	Data 0.164 (0.188)	Loss 3.0938 (2.9654)	Prec@1 32.031 (30.891)	Prec@5 58.203 (60.174)
Epoch: [59][4770/7045]	Time 0.493 (0.251)	Data 0.443 (0.188)	Loss 2.9352 (2.9655)	Prec@1 33.203 (30.890)	Prec@5 63.672 (60.172)
Epoch: [59][4780/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 3.0335 (2.9656)	Prec@1 32.031 (30.888)	Prec@5 57.812 (60.171)
Epoch: [59][4790/7045]	Time 0.338 (0.251)	Data 0.286 (0.188)	Loss 2.9375 (2.9656)	Prec@1 28.906 (30.884)	Prec@5 61.719 (60.169)
Epoch: [59][4800/7045]	Time 0.106 (0.251)	Data 0.053 (0.188)	Loss 3.1162 (2.9656)	Prec@1 26.172 (30.886)	Prec@5 58.203 (60.168)
Epoch: [59][4810/7045]	Time 0.342 (0.251)	Data 0.291 (0.188)	Loss 2.7936 (2.9655)	Prec@1 33.984 (30.887)	Prec@5 63.281 (60.169)
Epoch: [59][4820/7045]	Time 0.129 (0.251)	Data 0.079 (0.188)	Loss 2.9801 (2.9655)	Prec@1 30.859 (30.886)	Prec@5 60.938 (60.167)
Epoch: [59][4830/7045]	Time 0.441 (0.251)	Data 0.390 (0.188)	Loss 2.9897 (2.9654)	Prec@1 28.125 (30.886)	Prec@5 60.156 (60.170)
Epoch: [59][4840/7045]	Time 0.141 (0.251)	Data 0.084 (0.188)	Loss 3.1156 (2.9655)	Prec@1 30.078 (30.882)	Prec@5 55.078 (60.166)
Epoch: [59][4850/7045]	Time 0.557 (0.251)	Data 0.506 (0.188)	Loss 2.9405 (2.9653)	Prec@1 35.156 (30.887)	Prec@5 63.672 (60.171)
Epoch: [59][4860/7045]	Time 0.140 (0.251)	Data 0.087 (0.188)	Loss 2.9222 (2.9652)	Prec@1 33.203 (30.889)	Prec@5 62.891 (60.173)
Epoch: [59][4870/7045]	Time 0.349 (0.251)	Data 0.297 (0.188)	Loss 3.1102 (2.9653)	Prec@1 31.641 (30.887)	Prec@5 56.250 (60.171)
Epoch: [59][4880/7045]	Time 0.102 (0.251)	Data 0.050 (0.188)	Loss 3.1798 (2.9654)	Prec@1 28.906 (30.889)	Prec@5 55.859 (60.172)
Epoch: [59][4890/7045]	Time 0.101 (0.251)	Data 0.017 (0.188)	Loss 3.0550 (2.9655)	Prec@1 30.469 (30.887)	Prec@5 59.375 (60.169)
Epoch: [59][4900/7045]	Time 0.100 (0.251)	Data 0.001 (0.188)	Loss 2.8188 (2.9656)	Prec@1 35.547 (30.888)	Prec@5 62.109 (60.168)
Epoch: [59][4910/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 2.8017 (2.9656)	Prec@1 30.078 (30.887)	Prec@5 62.500 (60.166)
Epoch: [59][4920/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.7571 (2.9657)	Prec@1 38.281 (30.887)	Prec@5 64.062 (60.163)
Epoch: [59][4930/7045]	Time 0.102 (0.251)	Data 0.050 (0.188)	Loss 2.9269 (2.9657)	Prec@1 27.344 (30.886)	Prec@5 58.203 (60.163)
Epoch: [59][4940/7045]	Time 0.103 (0.251)	Data 0.049 (0.187)	Loss 3.0065 (2.9656)	Prec@1 35.547 (30.888)	Prec@5 58.594 (60.165)
Epoch: [59][4950/7045]	Time 0.180 (0.251)	Data 0.129 (0.187)	Loss 2.9803 (2.9656)	Prec@1 30.859 (30.887)	Prec@5 56.250 (60.163)
Epoch: [59][4960/7045]	Time 0.162 (0.251)	Data 0.110 (0.187)	Loss 3.1504 (2.9657)	Prec@1 30.078 (30.887)	Prec@5 52.734 (60.163)
Epoch: [59][4970/7045]	Time 0.393 (0.251)	Data 0.341 (0.188)	Loss 2.9165 (2.9655)	Prec@1 30.859 (30.890)	Prec@5 63.281 (60.165)
Epoch: [59][4980/7045]	Time 0.297 (0.251)	Data 0.245 (0.187)	Loss 2.8752 (2.9655)	Prec@1 28.906 (30.890)	Prec@5 59.375 (60.165)
Epoch: [59][4990/7045]	Time 0.392 (0.251)	Data 0.333 (0.187)	Loss 2.8873 (2.9656)	Prec@1 32.422 (30.889)	Prec@5 60.547 (60.164)
Epoch: [59][5000/7045]	Time 0.464 (0.251)	Data 0.412 (0.188)	Loss 2.8536 (2.9655)	Prec@1 31.641 (30.889)	Prec@5 64.844 (60.165)
Epoch: [59][5010/7045]	Time 0.105 (0.251)	Data 0.053 (0.187)	Loss 3.0779 (2.9656)	Prec@1 29.297 (30.886)	Prec@5 59.766 (60.165)
Epoch: [59][5020/7045]	Time 0.497 (0.251)	Data 0.446 (0.188)	Loss 2.9501 (2.9657)	Prec@1 31.641 (30.886)	Prec@5 61.719 (60.164)
Epoch: [59][5030/7045]	Time 0.255 (0.251)	Data 0.204 (0.188)	Loss 3.1544 (2.9658)	Prec@1 27.344 (30.884)	Prec@5 57.422 (60.163)
Epoch: [59][5040/7045]	Time 0.713 (0.251)	Data 0.653 (0.188)	Loss 3.0564 (2.9660)	Prec@1 28.906 (30.881)	Prec@5 61.328 (60.161)
Epoch: [59][5050/7045]	Time 0.111 (0.251)	Data 0.001 (0.188)	Loss 3.0406 (2.9659)	Prec@1 25.391 (30.880)	Prec@5 57.422 (60.159)
Epoch: [59][5060/7045]	Time 0.432 (0.251)	Data 0.381 (0.188)	Loss 3.0834 (2.9659)	Prec@1 28.125 (30.880)	Prec@5 55.078 (60.157)
Epoch: [59][5070/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 2.9027 (2.9659)	Prec@1 30.859 (30.880)	Prec@5 60.547 (60.158)
Epoch: [59][5080/7045]	Time 0.101 (0.251)	Data 0.050 (0.187)	Loss 2.9472 (2.9659)	Prec@1 28.906 (30.880)	Prec@5 58.594 (60.158)
Epoch: [59][5090/7045]	Time 0.136 (0.251)	Data 0.083 (0.187)	Loss 3.0426 (2.9660)	Prec@1 28.125 (30.877)	Prec@5 58.984 (60.159)
Epoch: [59][5100/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.7288 (2.9660)	Prec@1 36.328 (30.875)	Prec@5 63.672 (60.157)
Epoch: [59][5110/7045]	Time 0.103 (0.251)	Data 0.050 (0.187)	Loss 2.7725 (2.9660)	Prec@1 32.422 (30.875)	Prec@5 66.797 (60.157)
Epoch: [59][5120/7045]	Time 0.110 (0.251)	Data 0.004 (0.187)	Loss 2.9664 (2.9661)	Prec@1 30.078 (30.876)	Prec@5 62.891 (60.157)
Epoch: [59][5130/7045]	Time 0.116 (0.251)	Data 0.065 (0.187)	Loss 3.0473 (2.9661)	Prec@1 30.469 (30.875)	Prec@5 59.375 (60.159)
Epoch: [59][5140/7045]	Time 0.107 (0.251)	Data 0.001 (0.187)	Loss 2.7978 (2.9661)	Prec@1 35.938 (30.874)	Prec@5 62.891 (60.161)
Epoch: [59][5150/7045]	Time 0.237 (0.251)	Data 0.186 (0.187)	Loss 2.9889 (2.9659)	Prec@1 28.125 (30.876)	Prec@5 58.984 (60.161)
Epoch: [59][5160/7045]	Time 0.330 (0.251)	Data 0.279 (0.187)	Loss 2.9051 (2.9659)	Prec@1 32.031 (30.877)	Prec@5 62.500 (60.161)
Epoch: [59][5170/7045]	Time 0.123 (0.251)	Data 0.071 (0.187)	Loss 2.9185 (2.9658)	Prec@1 32.031 (30.878)	Prec@5 64.062 (60.163)
Epoch: [59][5180/7045]	Time 0.100 (0.251)	Data 0.046 (0.187)	Loss 2.8997 (2.9659)	Prec@1 30.078 (30.874)	Prec@5 61.719 (60.161)
Epoch: [59][5190/7045]	Time 0.103 (0.251)	Data 0.001 (0.187)	Loss 3.0512 (2.9659)	Prec@1 31.641 (30.875)	Prec@5 58.203 (60.161)
Epoch: [59][5200/7045]	Time 0.102 (0.251)	Data 0.005 (0.187)	Loss 3.2684 (2.9660)	Prec@1 25.391 (30.870)	Prec@5 52.734 (60.158)
Epoch: [59][5210/7045]	Time 0.158 (0.251)	Data 0.105 (0.187)	Loss 2.8082 (2.9659)	Prec@1 34.766 (30.872)	Prec@5 63.672 (60.158)
Epoch: [59][5220/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 2.8402 (2.9659)	Prec@1 32.422 (30.874)	Prec@5 62.500 (60.159)
Epoch: [59][5230/7045]	Time 0.409 (0.251)	Data 0.358 (0.187)	Loss 2.7795 (2.9659)	Prec@1 36.328 (30.875)	Prec@5 63.281 (60.160)
Epoch: [59][5240/7045]	Time 0.143 (0.251)	Data 0.093 (0.187)	Loss 2.8344 (2.9658)	Prec@1 32.812 (30.879)	Prec@5 63.281 (60.163)
Epoch: [59][5250/7045]	Time 0.384 (0.251)	Data 0.334 (0.187)	Loss 3.0899 (2.9658)	Prec@1 28.906 (30.879)	Prec@5 59.375 (60.161)
Epoch: [59][5260/7045]	Time 0.390 (0.251)	Data 0.339 (0.187)	Loss 2.7556 (2.9658)	Prec@1 36.328 (30.881)	Prec@5 61.328 (60.162)
Epoch: [59][5270/7045]	Time 0.285 (0.251)	Data 0.225 (0.187)	Loss 2.8130 (2.9657)	Prec@1 35.938 (30.885)	Prec@5 62.109 (60.164)
Epoch: [59][5280/7045]	Time 0.455 (0.251)	Data 0.403 (0.187)	Loss 2.9749 (2.9658)	Prec@1 30.859 (30.886)	Prec@5 60.156 (60.164)
Epoch: [59][5290/7045]	Time 0.312 (0.251)	Data 0.261 (0.187)	Loss 2.9698 (2.9658)	Prec@1 31.641 (30.888)	Prec@5 58.984 (60.164)
Epoch: [59][5300/7045]	Time 0.280 (0.251)	Data 0.216 (0.187)	Loss 2.7855 (2.9656)	Prec@1 30.859 (30.890)	Prec@5 63.672 (60.167)
Epoch: [59][5310/7045]	Time 0.429 (0.251)	Data 0.377 (0.187)	Loss 3.1865 (2.9657)	Prec@1 28.125 (30.888)	Prec@5 55.859 (60.165)
Epoch: [59][5320/7045]	Time 0.104 (0.251)	Data 0.051 (0.187)	Loss 3.0032 (2.9657)	Prec@1 31.641 (30.890)	Prec@5 59.766 (60.165)
Epoch: [59][5330/7045]	Time 0.461 (0.251)	Data 0.410 (0.187)	Loss 2.9602 (2.9656)	Prec@1 32.031 (30.889)	Prec@5 58.203 (60.165)
Epoch: [59][5340/7045]	Time 0.117 (0.251)	Data 0.064 (0.187)	Loss 3.1689 (2.9657)	Prec@1 27.734 (30.888)	Prec@5 57.422 (60.164)
Epoch: [59][5350/7045]	Time 0.214 (0.251)	Data 0.162 (0.187)	Loss 3.2318 (2.9659)	Prec@1 26.172 (30.887)	Prec@5 55.469 (60.162)
Epoch: [59][5360/7045]	Time 0.251 (0.251)	Data 0.198 (0.187)	Loss 3.1786 (2.9659)	Prec@1 24.609 (30.886)	Prec@5 55.469 (60.163)
Epoch: [59][5370/7045]	Time 0.202 (0.251)	Data 0.151 (0.187)	Loss 2.7334 (2.9658)	Prec@1 35.547 (30.888)	Prec@5 62.500 (60.165)
Epoch: [59][5380/7045]	Time 0.482 (0.251)	Data 0.430 (0.187)	Loss 2.9913 (2.9658)	Prec@1 30.859 (30.888)	Prec@5 57.812 (60.163)
Epoch: [59][5390/7045]	Time 0.128 (0.251)	Data 0.077 (0.187)	Loss 2.9251 (2.9657)	Prec@1 31.250 (30.889)	Prec@5 61.719 (60.168)
Epoch: [59][5400/7045]	Time 0.178 (0.251)	Data 0.127 (0.187)	Loss 2.8443 (2.9657)	Prec@1 34.766 (30.890)	Prec@5 62.500 (60.168)
Epoch: [59][5410/7045]	Time 0.224 (0.251)	Data 0.173 (0.187)	Loss 2.8690 (2.9657)	Prec@1 30.469 (30.892)	Prec@5 61.328 (60.169)
Epoch: [59][5420/7045]	Time 0.173 (0.251)	Data 0.120 (0.187)	Loss 3.0705 (2.9658)	Prec@1 28.516 (30.889)	Prec@5 57.031 (60.166)
Epoch: [59][5430/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 2.9870 (2.9658)	Prec@1 28.516 (30.887)	Prec@5 55.859 (60.163)
Epoch: [59][5440/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.8479 (2.9658)	Prec@1 31.250 (30.886)	Prec@5 62.891 (60.165)
Epoch: [59][5450/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.9385 (2.9658)	Prec@1 31.641 (30.887)	Prec@5 58.594 (60.164)
Epoch: [59][5460/7045]	Time 0.103 (0.251)	Data 0.008 (0.187)	Loss 3.0229 (2.9658)	Prec@1 28.516 (30.885)	Prec@5 58.594 (60.164)
Epoch: [59][5470/7045]	Time 0.620 (0.251)	Data 0.567 (0.187)	Loss 3.1618 (2.9659)	Prec@1 28.906 (30.885)	Prec@5 55.469 (60.163)
Epoch: [59][5480/7045]	Time 0.096 (0.251)	Data 0.001 (0.187)	Loss 2.8997 (2.9658)	Prec@1 29.297 (30.885)	Prec@5 58.984 (60.163)
Epoch: [59][5490/7045]	Time 0.508 (0.251)	Data 0.457 (0.187)	Loss 2.7409 (2.9657)	Prec@1 38.672 (30.888)	Prec@5 67.188 (60.166)
Epoch: [59][5500/7045]	Time 0.307 (0.251)	Data 0.257 (0.187)	Loss 2.8634 (2.9658)	Prec@1 32.812 (30.886)	Prec@5 62.891 (60.164)
Epoch: [59][5510/7045]	Time 0.104 (0.251)	Data 0.050 (0.187)	Loss 3.0670 (2.9658)	Prec@1 26.953 (30.886)	Prec@5 59.766 (60.162)
Epoch: [59][5520/7045]	Time 0.317 (0.251)	Data 0.266 (0.187)	Loss 3.0653 (2.9659)	Prec@1 28.906 (30.883)	Prec@5 57.422 (60.161)
Epoch: [59][5530/7045]	Time 0.210 (0.251)	Data 0.158 (0.187)	Loss 2.9015 (2.9658)	Prec@1 30.469 (30.882)	Prec@5 61.719 (60.161)
Epoch: [59][5540/7045]	Time 0.567 (0.251)	Data 0.506 (0.187)	Loss 2.9809 (2.9658)	Prec@1 29.688 (30.881)	Prec@5 62.109 (60.163)
Epoch: [59][5550/7045]	Time 0.103 (0.251)	Data 0.001 (0.187)	Loss 3.0495 (2.9657)	Prec@1 31.250 (30.885)	Prec@5 57.812 (60.165)
Epoch: [59][5560/7045]	Time 0.467 (0.251)	Data 0.416 (0.187)	Loss 2.8821 (2.9657)	Prec@1 30.859 (30.885)	Prec@5 65.625 (60.167)
Epoch: [59][5570/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.9983 (2.9656)	Prec@1 31.641 (30.886)	Prec@5 58.984 (60.169)
Epoch: [59][5580/7045]	Time 0.509 (0.251)	Data 0.458 (0.187)	Loss 2.9268 (2.9656)	Prec@1 31.641 (30.887)	Prec@5 60.938 (60.168)
Epoch: [59][5590/7045]	Time 0.103 (0.251)	Data 0.001 (0.187)	Loss 2.9868 (2.9655)	Prec@1 30.469 (30.887)	Prec@5 60.156 (60.169)
Epoch: [59][5600/7045]	Time 0.467 (0.251)	Data 0.409 (0.187)	Loss 2.9482 (2.9655)	Prec@1 32.031 (30.888)	Prec@5 59.766 (60.168)
Epoch: [59][5610/7045]	Time 0.101 (0.251)	Data 0.011 (0.187)	Loss 2.8744 (2.9656)	Prec@1 34.766 (30.887)	Prec@5 58.984 (60.165)
Epoch: [59][5620/7045]	Time 0.387 (0.251)	Data 0.334 (0.187)	Loss 2.9854 (2.9656)	Prec@1 32.422 (30.884)	Prec@5 55.469 (60.165)
Epoch: [59][5630/7045]	Time 0.114 (0.251)	Data 0.063 (0.187)	Loss 2.7674 (2.9656)	Prec@1 35.938 (30.884)	Prec@5 65.234 (60.166)
Epoch: [59][5640/7045]	Time 0.113 (0.251)	Data 0.001 (0.187)	Loss 2.9513 (2.9655)	Prec@1 33.984 (30.885)	Prec@5 59.766 (60.168)
Epoch: [59][5650/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 2.8709 (2.9656)	Prec@1 31.250 (30.884)	Prec@5 61.328 (60.169)
Epoch: [59][5660/7045]	Time 0.102 (0.251)	Data 0.005 (0.187)	Loss 2.9713 (2.9657)	Prec@1 33.594 (30.884)	Prec@5 60.547 (60.164)
Epoch: [59][5670/7045]	Time 0.135 (0.251)	Data 0.085 (0.187)	Loss 2.8858 (2.9657)	Prec@1 34.766 (30.882)	Prec@5 60.938 (60.162)
Epoch: [59][5680/7045]	Time 0.359 (0.251)	Data 0.307 (0.187)	Loss 3.1289 (2.9658)	Prec@1 28.125 (30.879)	Prec@5 53.516 (60.159)
Epoch: [59][5690/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.9753 (2.9659)	Prec@1 29.688 (30.878)	Prec@5 58.984 (60.159)
Epoch: [59][5700/7045]	Time 0.109 (0.251)	Data 0.001 (0.187)	Loss 2.9198 (2.9659)	Prec@1 35.156 (30.878)	Prec@5 63.281 (60.160)
Epoch: [59][5710/7045]	Time 0.125 (0.251)	Data 0.073 (0.187)	Loss 3.0694 (2.9657)	Prec@1 33.203 (30.882)	Prec@5 57.812 (60.163)
Epoch: [59][5720/7045]	Time 0.121 (0.251)	Data 0.071 (0.187)	Loss 2.9145 (2.9658)	Prec@1 35.547 (30.883)	Prec@5 62.109 (60.161)
Epoch: [59][5730/7045]	Time 0.239 (0.251)	Data 0.187 (0.187)	Loss 2.9439 (2.9660)	Prec@1 31.250 (30.882)	Prec@5 60.938 (60.159)
Epoch: [59][5740/7045]	Time 0.214 (0.251)	Data 0.162 (0.187)	Loss 3.0695 (2.9660)	Prec@1 27.344 (30.879)	Prec@5 55.859 (60.158)
Epoch: [59][5750/7045]	Time 0.266 (0.251)	Data 0.208 (0.187)	Loss 2.9074 (2.9661)	Prec@1 35.547 (30.877)	Prec@5 60.156 (60.157)
Epoch: [59][5760/7045]	Time 0.134 (0.251)	Data 0.082 (0.187)	Loss 3.1248 (2.9662)	Prec@1 31.641 (30.876)	Prec@5 57.812 (60.156)
Epoch: [59][5770/7045]	Time 0.102 (0.251)	Data 0.050 (0.187)	Loss 3.0328 (2.9663)	Prec@1 31.641 (30.876)	Prec@5 59.375 (60.154)
Epoch: [59][5780/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.9966 (2.9662)	Prec@1 33.594 (30.879)	Prec@5 60.156 (60.155)
Epoch: [59][5790/7045]	Time 0.270 (0.251)	Data 0.213 (0.187)	Loss 2.8347 (2.9662)	Prec@1 33.594 (30.878)	Prec@5 62.109 (60.156)
Epoch: [59][5800/7045]	Time 0.193 (0.251)	Data 0.142 (0.187)	Loss 3.1189 (2.9662)	Prec@1 28.516 (30.877)	Prec@5 56.641 (60.155)
Epoch: [59][5810/7045]	Time 0.250 (0.251)	Data 0.199 (0.187)	Loss 2.9806 (2.9662)	Prec@1 34.375 (30.878)	Prec@5 61.719 (60.154)
Epoch: [59][5820/7045]	Time 0.422 (0.251)	Data 0.365 (0.187)	Loss 2.9368 (2.9662)	Prec@1 28.906 (30.877)	Prec@5 58.594 (60.153)
Epoch: [59][5830/7045]	Time 0.378 (0.251)	Data 0.325 (0.187)	Loss 2.9563 (2.9662)	Prec@1 30.859 (30.877)	Prec@5 57.422 (60.152)
Epoch: [59][5840/7045]	Time 0.312 (0.251)	Data 0.262 (0.187)	Loss 3.0151 (2.9662)	Prec@1 31.641 (30.876)	Prec@5 58.203 (60.153)
Epoch: [59][5850/7045]	Time 0.102 (0.251)	Data 0.005 (0.187)	Loss 3.0463 (2.9663)	Prec@1 29.297 (30.875)	Prec@5 59.766 (60.152)
Epoch: [59][5860/7045]	Time 0.311 (0.251)	Data 0.260 (0.187)	Loss 3.1155 (2.9663)	Prec@1 24.609 (30.875)	Prec@5 53.906 (60.152)
Epoch: [59][5870/7045]	Time 0.112 (0.251)	Data 0.060 (0.187)	Loss 3.0129 (2.9664)	Prec@1 29.688 (30.874)	Prec@5 59.766 (60.151)
Epoch: [59][5880/7045]	Time 0.113 (0.251)	Data 0.061 (0.187)	Loss 3.1397 (2.9664)	Prec@1 31.250 (30.873)	Prec@5 55.469 (60.149)
Epoch: [59][5890/7045]	Time 0.211 (0.251)	Data 0.161 (0.187)	Loss 3.0435 (2.9664)	Prec@1 27.344 (30.874)	Prec@5 57.422 (60.149)
Epoch: [59][5900/7045]	Time 0.132 (0.251)	Data 0.080 (0.187)	Loss 2.8072 (2.9663)	Prec@1 32.031 (30.873)	Prec@5 62.891 (60.148)
Epoch: [59][5910/7045]	Time 0.414 (0.251)	Data 0.363 (0.187)	Loss 2.9734 (2.9664)	Prec@1 32.812 (30.871)	Prec@5 60.938 (60.146)
Epoch: [59][5920/7045]	Time 0.310 (0.251)	Data 0.259 (0.187)	Loss 3.2107 (2.9665)	Prec@1 27.734 (30.871)	Prec@5 56.250 (60.145)
Epoch: [59][5930/7045]	Time 0.295 (0.251)	Data 0.245 (0.187)	Loss 2.8135 (2.9664)	Prec@1 33.984 (30.872)	Prec@5 62.500 (60.147)
Epoch: [59][5940/7045]	Time 0.104 (0.251)	Data 0.052 (0.187)	Loss 3.0598 (2.9664)	Prec@1 27.344 (30.870)	Prec@5 57.812 (60.145)
Epoch: [59][5950/7045]	Time 0.112 (0.251)	Data 0.061 (0.187)	Loss 2.8885 (2.9665)	Prec@1 31.250 (30.869)	Prec@5 62.891 (60.145)
Epoch: [59][5960/7045]	Time 0.102 (0.251)	Data 0.010 (0.187)	Loss 2.9298 (2.9665)	Prec@1 32.422 (30.869)	Prec@5 60.156 (60.144)
Epoch: [59][5970/7045]	Time 0.102 (0.251)	Data 0.003 (0.187)	Loss 3.0983 (2.9665)	Prec@1 26.172 (30.869)	Prec@5 58.203 (60.145)
Epoch: [59][5980/7045]	Time 0.107 (0.251)	Data 0.055 (0.187)	Loss 2.9692 (2.9667)	Prec@1 28.906 (30.867)	Prec@5 59.375 (60.141)
Epoch: [59][5990/7045]	Time 0.104 (0.251)	Data 0.052 (0.187)	Loss 2.8291 (2.9667)	Prec@1 31.641 (30.866)	Prec@5 64.062 (60.141)
Epoch: [59][6000/7045]	Time 0.149 (0.251)	Data 0.097 (0.187)	Loss 2.7988 (2.9667)	Prec@1 33.984 (30.864)	Prec@5 63.672 (60.139)
Epoch: [59][6010/7045]	Time 0.103 (0.251)	Data 0.018 (0.187)	Loss 3.1059 (2.9669)	Prec@1 26.953 (30.863)	Prec@5 57.812 (60.137)
Epoch: [59][6020/7045]	Time 0.142 (0.251)	Data 0.091 (0.187)	Loss 3.2713 (2.9670)	Prec@1 27.344 (30.861)	Prec@5 57.031 (60.133)
Epoch: [59][6030/7045]	Time 0.381 (0.251)	Data 0.321 (0.187)	Loss 3.2386 (2.9670)	Prec@1 27.344 (30.859)	Prec@5 56.641 (60.133)
Epoch: [59][6040/7045]	Time 0.236 (0.251)	Data 0.186 (0.187)	Loss 2.9657 (2.9670)	Prec@1 33.203 (30.858)	Prec@5 61.328 (60.131)
Epoch: [59][6050/7045]	Time 0.368 (0.251)	Data 0.316 (0.187)	Loss 3.0984 (2.9672)	Prec@1 21.484 (30.852)	Prec@5 57.031 (60.129)
Epoch: [59][6060/7045]	Time 0.367 (0.251)	Data 0.315 (0.187)	Loss 2.9818 (2.9673)	Prec@1 30.469 (30.852)	Prec@5 59.375 (60.127)
Epoch: [59][6070/7045]	Time 0.101 (0.251)	Data 0.009 (0.187)	Loss 2.9276 (2.9674)	Prec@1 34.766 (30.852)	Prec@5 59.766 (60.125)
Epoch: [59][6080/7045]	Time 0.365 (0.251)	Data 0.313 (0.187)	Loss 2.9681 (2.9674)	Prec@1 30.859 (30.851)	Prec@5 60.156 (60.126)
Epoch: [59][6090/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.8995 (2.9673)	Prec@1 29.688 (30.852)	Prec@5 58.594 (60.126)
Epoch: [59][6100/7045]	Time 0.225 (0.251)	Data 0.173 (0.187)	Loss 3.0123 (2.9673)	Prec@1 32.031 (30.853)	Prec@5 58.984 (60.127)
Epoch: [59][6110/7045]	Time 0.101 (0.251)	Data 0.045 (0.187)	Loss 2.9421 (2.9673)	Prec@1 35.156 (30.853)	Prec@5 61.719 (60.127)
Epoch: [59][6120/7045]	Time 0.108 (0.251)	Data 0.021 (0.187)	Loss 3.0842 (2.9673)	Prec@1 26.953 (30.853)	Prec@5 57.422 (60.128)
Epoch: [59][6130/7045]	Time 0.103 (0.251)	Data 0.001 (0.187)	Loss 2.9925 (2.9673)	Prec@1 31.641 (30.851)	Prec@5 61.719 (60.127)
Epoch: [59][6140/7045]	Time 0.102 (0.251)	Data 0.023 (0.187)	Loss 3.0754 (2.9673)	Prec@1 26.172 (30.851)	Prec@5 59.766 (60.127)
Epoch: [59][6150/7045]	Time 0.487 (0.251)	Data 0.435 (0.187)	Loss 2.9181 (2.9674)	Prec@1 29.688 (30.850)	Prec@5 62.891 (60.126)
Epoch: [59][6160/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 3.0926 (2.9674)	Prec@1 31.641 (30.851)	Prec@5 55.469 (60.126)
Epoch: [59][6170/7045]	Time 0.585 (0.251)	Data 0.533 (0.187)	Loss 3.1213 (2.9676)	Prec@1 28.125 (30.849)	Prec@5 62.500 (60.124)
Epoch: [59][6180/7045]	Time 0.102 (0.251)	Data 0.051 (0.187)	Loss 3.0528 (2.9675)	Prec@1 29.297 (30.850)	Prec@5 60.547 (60.125)
Epoch: [59][6190/7045]	Time 0.101 (0.251)	Data 0.023 (0.187)	Loss 2.9388 (2.9676)	Prec@1 32.031 (30.846)	Prec@5 58.984 (60.124)
Epoch: [59][6200/7045]	Time 0.250 (0.251)	Data 0.199 (0.187)	Loss 2.8298 (2.9675)	Prec@1 28.516 (30.846)	Prec@5 62.500 (60.124)
Epoch: [59][6210/7045]	Time 0.108 (0.251)	Data 0.007 (0.187)	Loss 3.2371 (2.9676)	Prec@1 26.172 (30.846)	Prec@5 59.375 (60.122)
Epoch: [59][6220/7045]	Time 0.381 (0.251)	Data 0.330 (0.187)	Loss 2.8851 (2.9677)	Prec@1 28.516 (30.846)	Prec@5 61.328 (60.121)
Epoch: [59][6230/7045]	Time 0.106 (0.251)	Data 0.053 (0.187)	Loss 2.9716 (2.9677)	Prec@1 31.250 (30.847)	Prec@5 59.375 (60.120)
Epoch: [59][6240/7045]	Time 0.408 (0.251)	Data 0.356 (0.187)	Loss 2.9751 (2.9677)	Prec@1 28.516 (30.845)	Prec@5 62.891 (60.119)
Epoch: [59][6250/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 3.0536 (2.9677)	Prec@1 30.859 (30.845)	Prec@5 57.812 (60.120)
Epoch: [59][6260/7045]	Time 0.124 (0.251)	Data 0.072 (0.187)	Loss 3.0884 (2.9676)	Prec@1 32.422 (30.846)	Prec@5 60.156 (60.121)
Epoch: [59][6270/7045]	Time 0.131 (0.251)	Data 0.078 (0.187)	Loss 2.9952 (2.9677)	Prec@1 34.766 (30.845)	Prec@5 60.156 (60.119)
Epoch: [59][6280/7045]	Time 0.102 (0.251)	Data 0.014 (0.187)	Loss 3.1963 (2.9677)	Prec@1 25.391 (30.845)	Prec@5 51.953 (60.119)
Epoch: [59][6290/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.9691 (2.9677)	Prec@1 31.641 (30.846)	Prec@5 61.719 (60.120)
Epoch: [59][6300/7045]	Time 0.368 (0.251)	Data 0.317 (0.187)	Loss 3.0896 (2.9678)	Prec@1 28.906 (30.845)	Prec@5 58.203 (60.118)
Epoch: [59][6310/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 2.7272 (2.9678)	Prec@1 33.984 (30.844)	Prec@5 62.500 (60.118)
Epoch: [59][6320/7045]	Time 0.443 (0.251)	Data 0.393 (0.187)	Loss 3.0429 (2.9678)	Prec@1 28.516 (30.843)	Prec@5 62.891 (60.120)
Epoch: [59][6330/7045]	Time 0.255 (0.251)	Data 0.204 (0.187)	Loss 2.9968 (2.9679)	Prec@1 33.984 (30.842)	Prec@5 57.422 (60.118)
Epoch: [59][6340/7045]	Time 0.449 (0.251)	Data 0.391 (0.187)	Loss 2.9544 (2.9679)	Prec@1 32.812 (30.842)	Prec@5 60.938 (60.118)
Epoch: [59][6350/7045]	Time 0.267 (0.251)	Data 0.217 (0.187)	Loss 2.8212 (2.9679)	Prec@1 30.078 (30.842)	Prec@5 63.281 (60.117)
Epoch: [59][6360/7045]	Time 0.405 (0.251)	Data 0.355 (0.187)	Loss 3.2254 (2.9680)	Prec@1 28.516 (30.840)	Prec@5 51.562 (60.113)
Epoch: [59][6370/7045]	Time 0.280 (0.251)	Data 0.220 (0.187)	Loss 3.0748 (2.9678)	Prec@1 28.125 (30.842)	Prec@5 58.984 (60.116)
Epoch: [59][6380/7045]	Time 0.582 (0.251)	Data 0.532 (0.187)	Loss 3.0911 (2.9678)	Prec@1 26.953 (30.842)	Prec@5 58.984 (60.117)
Epoch: [59][6390/7045]	Time 0.185 (0.251)	Data 0.134 (0.187)	Loss 2.9378 (2.9678)	Prec@1 25.391 (30.842)	Prec@5 60.938 (60.119)
Epoch: [59][6400/7045]	Time 0.786 (0.251)	Data 0.734 (0.187)	Loss 2.7874 (2.9678)	Prec@1 34.766 (30.844)	Prec@5 60.938 (60.118)
Epoch: [59][6410/7045]	Time 0.094 (0.251)	Data 0.001 (0.187)	Loss 2.7918 (2.9677)	Prec@1 32.422 (30.844)	Prec@5 64.844 (60.121)
Epoch: [59][6420/7045]	Time 0.798 (0.251)	Data 0.746 (0.187)	Loss 2.8919 (2.9677)	Prec@1 33.203 (30.841)	Prec@5 60.938 (60.122)
Epoch: [59][6430/7045]	Time 0.101 (0.251)	Data 0.013 (0.187)	Loss 3.1366 (2.9678)	Prec@1 27.734 (30.841)	Prec@5 54.688 (60.120)
Epoch: [59][6440/7045]	Time 0.640 (0.251)	Data 0.583 (0.187)	Loss 2.9271 (2.9678)	Prec@1 26.953 (30.841)	Prec@5 60.938 (60.120)
Epoch: [59][6450/7045]	Time 0.134 (0.251)	Data 0.072 (0.187)	Loss 2.9657 (2.9679)	Prec@1 33.203 (30.840)	Prec@5 60.938 (60.119)
Epoch: [59][6460/7045]	Time 0.491 (0.251)	Data 0.439 (0.187)	Loss 2.9104 (2.9680)	Prec@1 33.984 (30.840)	Prec@5 64.062 (60.118)
Epoch: [59][6470/7045]	Time 0.099 (0.251)	Data 0.001 (0.187)	Loss 2.9863 (2.9678)	Prec@1 31.250 (30.842)	Prec@5 57.031 (60.120)
Epoch: [59][6480/7045]	Time 0.335 (0.251)	Data 0.284 (0.187)	Loss 3.0352 (2.9679)	Prec@1 28.125 (30.841)	Prec@5 58.203 (60.118)
Epoch: [59][6490/7045]	Time 0.162 (0.251)	Data 0.104 (0.187)	Loss 3.1514 (2.9679)	Prec@1 26.953 (30.840)	Prec@5 56.250 (60.117)
Epoch: [59][6500/7045]	Time 0.393 (0.251)	Data 0.336 (0.187)	Loss 2.8206 (2.9679)	Prec@1 35.938 (30.840)	Prec@5 64.062 (60.117)
Epoch: [59][6510/7045]	Time 0.264 (0.251)	Data 0.214 (0.187)	Loss 2.9164 (2.9679)	Prec@1 31.250 (30.841)	Prec@5 61.328 (60.117)
Epoch: [59][6520/7045]	Time 0.406 (0.251)	Data 0.345 (0.187)	Loss 3.2393 (2.9680)	Prec@1 23.828 (30.838)	Prec@5 56.641 (60.116)
Epoch: [59][6530/7045]	Time 0.225 (0.251)	Data 0.173 (0.187)	Loss 2.9553 (2.9679)	Prec@1 28.125 (30.839)	Prec@5 61.719 (60.116)
Epoch: [59][6540/7045]	Time 0.363 (0.251)	Data 0.311 (0.187)	Loss 2.7988 (2.9679)	Prec@1 34.375 (30.838)	Prec@5 63.281 (60.116)
Epoch: [59][6550/7045]	Time 0.150 (0.251)	Data 0.098 (0.187)	Loss 2.8413 (2.9679)	Prec@1 34.375 (30.839)	Prec@5 62.891 (60.115)
Epoch: [59][6560/7045]	Time 0.107 (0.251)	Data 0.055 (0.187)	Loss 2.9342 (2.9679)	Prec@1 33.594 (30.838)	Prec@5 56.250 (60.113)
Epoch: [59][6570/7045]	Time 0.290 (0.251)	Data 0.238 (0.187)	Loss 2.9427 (2.9680)	Prec@1 28.125 (30.836)	Prec@5 65.625 (60.112)
Epoch: [59][6580/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.0384 (2.9679)	Prec@1 33.984 (30.837)	Prec@5 57.422 (60.114)
Epoch: [59][6590/7045]	Time 0.465 (0.251)	Data 0.413 (0.187)	Loss 2.8070 (2.9679)	Prec@1 31.250 (30.837)	Prec@5 65.234 (60.112)
Epoch: [59][6600/7045]	Time 0.410 (0.251)	Data 0.359 (0.187)	Loss 3.0536 (2.9680)	Prec@1 31.641 (30.836)	Prec@5 58.594 (60.112)
Epoch: [59][6610/7045]	Time 0.131 (0.251)	Data 0.080 (0.187)	Loss 2.9460 (2.9681)	Prec@1 33.594 (30.833)	Prec@5 62.500 (60.111)
Epoch: [59][6620/7045]	Time 0.435 (0.251)	Data 0.384 (0.187)	Loss 2.7481 (2.9680)	Prec@1 35.938 (30.835)	Prec@5 65.234 (60.112)
Epoch: [59][6630/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.9408 (2.9680)	Prec@1 33.203 (30.835)	Prec@5 62.109 (60.112)
Epoch: [59][6640/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.7230 (2.9679)	Prec@1 34.375 (30.836)	Prec@5 67.969 (60.114)
Epoch: [59][6650/7045]	Time 0.246 (0.251)	Data 0.194 (0.187)	Loss 2.8754 (2.9680)	Prec@1 33.203 (30.836)	Prec@5 63.672 (60.113)
Epoch: [59][6660/7045]	Time 0.520 (0.251)	Data 0.469 (0.187)	Loss 2.8929 (2.9679)	Prec@1 32.422 (30.836)	Prec@5 65.234 (60.114)
Epoch: [59][6670/7045]	Time 0.152 (0.251)	Data 0.092 (0.187)	Loss 2.9547 (2.9680)	Prec@1 32.031 (30.836)	Prec@5 57.031 (60.112)
Epoch: [59][6680/7045]	Time 0.536 (0.251)	Data 0.484 (0.187)	Loss 2.8938 (2.9679)	Prec@1 30.469 (30.838)	Prec@5 59.766 (60.111)
Epoch: [59][6690/7045]	Time 0.152 (0.251)	Data 0.100 (0.187)	Loss 3.0072 (2.9680)	Prec@1 29.297 (30.837)	Prec@5 59.766 (60.109)
Epoch: [59][6700/7045]	Time 0.211 (0.251)	Data 0.160 (0.187)	Loss 2.9827 (2.9682)	Prec@1 28.906 (30.834)	Prec@5 58.984 (60.107)
Epoch: [59][6710/7045]	Time 0.183 (0.251)	Data 0.131 (0.187)	Loss 2.8509 (2.9682)	Prec@1 36.328 (30.833)	Prec@5 63.281 (60.107)
Epoch: [59][6720/7045]	Time 0.469 (0.251)	Data 0.418 (0.187)	Loss 3.0355 (2.9683)	Prec@1 30.078 (30.831)	Prec@5 57.422 (60.104)
Epoch: [59][6730/7045]	Time 0.128 (0.251)	Data 0.076 (0.187)	Loss 2.8299 (2.9683)	Prec@1 30.469 (30.827)	Prec@5 62.891 (60.101)
Epoch: [59][6740/7045]	Time 0.604 (0.251)	Data 0.553 (0.187)	Loss 2.9679 (2.9684)	Prec@1 32.031 (30.826)	Prec@5 62.500 (60.100)
Epoch: [59][6750/7045]	Time 0.110 (0.251)	Data 0.058 (0.187)	Loss 3.0631 (2.9684)	Prec@1 26.562 (30.827)	Prec@5 57.422 (60.101)
Epoch: [59][6760/7045]	Time 0.591 (0.251)	Data 0.540 (0.187)	Loss 2.8479 (2.9683)	Prec@1 30.469 (30.827)	Prec@5 62.109 (60.104)
Epoch: [59][6770/7045]	Time 0.133 (0.251)	Data 0.081 (0.187)	Loss 2.6921 (2.9682)	Prec@1 34.766 (30.828)	Prec@5 65.234 (60.106)
Epoch: [59][6780/7045]	Time 0.108 (0.251)	Data 0.001 (0.187)	Loss 2.6976 (2.9681)	Prec@1 33.594 (30.828)	Prec@5 67.188 (60.106)
Epoch: [59][6790/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.9745 (2.9681)	Prec@1 31.641 (30.828)	Prec@5 58.594 (60.105)
Epoch: [59][6800/7045]	Time 0.246 (0.251)	Data 0.196 (0.187)	Loss 2.8764 (2.9681)	Prec@1 31.641 (30.829)	Prec@5 64.453 (60.105)
Epoch: [59][6810/7045]	Time 0.621 (0.251)	Data 0.570 (0.187)	Loss 2.7791 (2.9682)	Prec@1 35.938 (30.829)	Prec@5 66.406 (60.105)
Epoch: [59][6820/7045]	Time 0.113 (0.251)	Data 0.061 (0.187)	Loss 2.9106 (2.9682)	Prec@1 33.984 (30.827)	Prec@5 57.812 (60.103)
Epoch: [59][6830/7045]	Time 0.651 (0.251)	Data 0.590 (0.187)	Loss 3.2046 (2.9683)	Prec@1 23.828 (30.827)	Prec@5 55.469 (60.102)
Epoch: [59][6840/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.0154 (2.9684)	Prec@1 27.344 (30.825)	Prec@5 57.422 (60.101)
Epoch: [59][6850/7045]	Time 0.101 (0.251)	Data 0.007 (0.187)	Loss 2.7871 (2.9683)	Prec@1 31.641 (30.826)	Prec@5 65.625 (60.104)
Epoch: [59][6860/7045]	Time 0.101 (0.251)	Data 0.010 (0.187)	Loss 3.0472 (2.9683)	Prec@1 27.344 (30.827)	Prec@5 57.422 (60.104)
Epoch: [59][6870/7045]	Time 0.668 (0.251)	Data 0.616 (0.187)	Loss 3.0506 (2.9682)	Prec@1 30.078 (30.829)	Prec@5 58.594 (60.105)
Epoch: [59][6880/7045]	Time 0.169 (0.251)	Data 0.118 (0.187)	Loss 3.0874 (2.9684)	Prec@1 30.078 (30.827)	Prec@5 57.422 (60.101)
Epoch: [59][6890/7045]	Time 0.385 (0.251)	Data 0.325 (0.187)	Loss 3.0548 (2.9684)	Prec@1 30.469 (30.828)	Prec@5 57.031 (60.100)
Epoch: [59][6900/7045]	Time 0.402 (0.251)	Data 0.351 (0.187)	Loss 2.8777 (2.9684)	Prec@1 29.297 (30.828)	Prec@5 61.328 (60.099)
Epoch: [59][6910/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.7959 (2.9684)	Prec@1 34.375 (30.829)	Prec@5 60.156 (60.099)
Epoch: [59][6920/7045]	Time 0.102 (0.251)	Data 0.003 (0.187)	Loss 3.0619 (2.9684)	Prec@1 29.297 (30.829)	Prec@5 56.250 (60.100)
Epoch: [59][6930/7045]	Time 0.101 (0.251)	Data 0.045 (0.187)	Loss 2.9417 (2.9683)	Prec@1 32.812 (30.831)	Prec@5 64.062 (60.102)
Epoch: [59][6940/7045]	Time 0.684 (0.251)	Data 0.632 (0.187)	Loss 3.1185 (2.9683)	Prec@1 27.344 (30.830)	Prec@5 57.031 (60.101)
Epoch: [59][6950/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 3.0655 (2.9683)	Prec@1 30.078 (30.829)	Prec@5 57.422 (60.099)
Epoch: [59][6960/7045]	Time 0.613 (0.251)	Data 0.563 (0.187)	Loss 2.9888 (2.9684)	Prec@1 32.031 (30.828)	Prec@5 62.891 (60.099)
Epoch: [59][6970/7045]	Time 0.251 (0.251)	Data 0.201 (0.187)	Loss 2.7863 (2.9685)	Prec@1 31.641 (30.826)	Prec@5 65.625 (60.097)
Epoch: [59][6980/7045]	Time 0.147 (0.251)	Data 0.088 (0.187)	Loss 2.8992 (2.9685)	Prec@1 27.734 (30.825)	Prec@5 62.500 (60.096)
Epoch: [59][6990/7045]	Time 0.113 (0.251)	Data 0.060 (0.187)	Loss 2.9311 (2.9686)	Prec@1 33.203 (30.823)	Prec@5 58.594 (60.095)
Epoch: [59][7000/7045]	Time 0.224 (0.251)	Data 0.173 (0.187)	Loss 3.1069 (2.9686)	Prec@1 29.297 (30.822)	Prec@5 56.641 (60.096)
Epoch: [59][7010/7045]	Time 0.102 (0.251)	Data 0.050 (0.187)	Loss 2.7742 (2.9686)	Prec@1 33.594 (30.824)	Prec@5 63.672 (60.096)
Epoch: [59][7020/7045]	Time 0.115 (0.251)	Data 0.056 (0.187)	Loss 3.1668 (2.9687)	Prec@1 28.516 (30.822)	Prec@5 54.297 (60.093)
Epoch: [59][7030/7045]	Time 0.101 (0.251)	Data 0.048 (0.187)	Loss 3.1240 (2.9687)	Prec@1 32.031 (30.822)	Prec@5 57.031 (60.093)
Epoch: [59][7040/7045]	Time 0.234 (0.251)	Data 0.182 (0.187)	Loss 2.8764 (2.9687)	Prec@1 37.109 (30.822)	Prec@5 60.547 (60.092)
Test: [0/143]	Time 1.288 (1.288)	Loss 2.6104 (2.6104)	Prec@1 39.844 (39.844)	Prec@5 65.625 (65.625)
Test: [10/143]	Time 0.058 (0.247)	Loss 2.1022 (2.3884)	Prec@1 50.781 (42.472)	Prec@5 78.125 (72.088)
Test: [20/143]	Time 0.264 (0.220)	Loss 2.5567 (2.3540)	Prec@1 37.891 (41.797)	Prec@5 66.797 (72.619)
Test: [30/143]	Time 0.233 (0.207)	Loss 2.8326 (2.4173)	Prec@1 34.375 (41.003)	Prec@5 60.938 (71.270)
Test: [40/143]	Time 0.060 (0.200)	Loss 3.0401 (2.4251)	Prec@1 17.969 (40.568)	Prec@5 59.766 (70.894)
Test: [50/143]	Time 0.446 (0.199)	Loss 2.1602 (2.4618)	Prec@1 42.578 (39.223)	Prec@5 78.125 (70.435)
Test: [60/143]	Time 0.049 (0.193)	Loss 2.5161 (2.4418)	Prec@1 35.547 (39.709)	Prec@5 70.312 (70.863)
Test: [70/143]	Time 0.290 (0.191)	Loss 3.1356 (2.4243)	Prec@1 26.172 (40.119)	Prec@5 53.906 (71.187)
Test: [80/143]	Time 0.626 (0.194)	Loss 2.5497 (2.4152)	Prec@1 34.766 (40.316)	Prec@5 73.047 (71.489)
Test: [90/143]	Time 0.201 (0.189)	Loss 2.3492 (2.4146)	Prec@1 42.188 (40.076)	Prec@5 74.609 (71.643)
Test: [100/143]	Time 0.325 (0.188)	Loss 2.4540 (2.4139)	Prec@1 32.422 (39.940)	Prec@5 76.953 (71.852)
Test: [110/143]	Time 0.360 (0.187)	Loss 2.1428 (2.4040)	Prec@1 47.656 (40.326)	Prec@5 74.609 (71.991)
Test: [120/143]	Time 0.112 (0.186)	Loss 1.8663 (2.3895)	Prec@1 54.688 (40.631)	Prec@5 83.203 (72.301)
Test: [130/143]	Time 0.363 (0.186)	Loss 1.9739 (2.3918)	Prec@1 57.422 (40.697)	Prec@5 74.219 (72.125)
Test: [140/143]	Time 0.061 (0.184)	Loss 3.2336 (2.4184)	Prec@1 17.578 (40.060)	Prec@5 56.641 (71.540)
 * Prec@1 40.085 Prec@5 71.589
Epoch: [60][0/7045]	Time 2.433 (2.433)	Data 2.376 (2.376)	Loss 3.0679 (3.0679)	Prec@1 31.641 (31.641)	Prec@5 60.547 (60.547)
Epoch: [60][10/7045]	Time 0.151 (0.420)	Data 0.093 (0.340)	Loss 2.7794 (2.9137)	Prec@1 32.031 (32.173)	Prec@5 65.234 (61.009)
Epoch: [60][20/7045]	Time 0.430 (0.345)	Data 0.377 (0.278)	Loss 2.8467 (2.8783)	Prec@1 31.250 (32.459)	Prec@5 63.281 (61.812)
Epoch: [60][30/7045]	Time 0.340 (0.314)	Data 0.288 (0.249)	Loss 2.9162 (2.8909)	Prec@1 34.766 (32.472)	Prec@5 60.547 (61.391)
Epoch: [60][40/7045]	Time 0.368 (0.295)	Data 0.317 (0.233)	Loss 2.9353 (2.8948)	Prec@1 28.516 (32.136)	Prec@5 60.938 (61.395)
Epoch: [60][50/7045]	Time 0.395 (0.288)	Data 0.343 (0.226)	Loss 2.9235 (2.8967)	Prec@1 32.812 (32.100)	Prec@5 58.594 (61.313)
Epoch: [60][60/7045]	Time 0.132 (0.279)	Data 0.080 (0.218)	Loss 2.7141 (2.8829)	Prec@1 34.766 (32.383)	Prec@5 65.625 (61.559)
Epoch: [60][70/7045]	Time 0.314 (0.276)	Data 0.263 (0.214)	Loss 2.7127 (2.8807)	Prec@1 33.594 (32.273)	Prec@5 63.281 (61.625)
Epoch: [60][80/7045]	Time 0.135 (0.272)	Data 0.084 (0.212)	Loss 2.5700 (2.8754)	Prec@1 40.625 (32.369)	Prec@5 66.797 (61.593)
Epoch: [60][90/7045]	Time 0.392 (0.273)	Data 0.331 (0.213)	Loss 2.7980 (2.8741)	Prec@1 35.156 (32.349)	Prec@5 62.109 (61.504)
Epoch: [60][100/7045]	Time 0.101 (0.267)	Data 0.001 (0.206)	Loss 2.8414 (2.8662)	Prec@1 32.422 (32.604)	Prec@5 59.375 (61.622)
Epoch: [60][110/7045]	Time 0.364 (0.267)	Data 0.306 (0.207)	Loss 2.7230 (2.8648)	Prec@1 34.766 (32.651)	Prec@5 66.406 (61.747)
Epoch: [60][120/7045]	Time 0.457 (0.266)	Data 0.400 (0.205)	Loss 2.8813 (2.8681)	Prec@1 34.375 (32.596)	Prec@5 58.984 (61.732)
Epoch: [60][130/7045]	Time 0.208 (0.264)	Data 0.157 (0.203)	Loss 2.6259 (2.8642)	Prec@1 39.453 (32.681)	Prec@5 64.453 (61.847)
Epoch: [60][140/7045]	Time 0.455 (0.263)	Data 0.404 (0.202)	Loss 2.7790 (2.8566)	Prec@1 33.203 (32.829)	Prec@5 64.844 (62.079)
Epoch: [60][150/7045]	Time 0.180 (0.262)	Data 0.130 (0.200)	Loss 2.9522 (2.8554)	Prec@1 30.469 (32.825)	Prec@5 60.547 (62.135)
Epoch: [60][160/7045]	Time 0.586 (0.262)	Data 0.529 (0.200)	Loss 2.8413 (2.8528)	Prec@1 33.594 (32.837)	Prec@5 59.375 (62.194)
Epoch: [60][170/7045]	Time 0.219 (0.261)	Data 0.168 (0.198)	Loss 2.8373 (2.8525)	Prec@1 31.641 (32.833)	Prec@5 61.719 (62.192)
Epoch: [60][180/7045]	Time 0.358 (0.260)	Data 0.307 (0.198)	Loss 2.8920 (2.8511)	Prec@1 30.469 (32.821)	Prec@5 65.625 (62.211)
Epoch: [60][190/7045]	Time 0.107 (0.259)	Data 0.055 (0.197)	Loss 2.7980 (2.8496)	Prec@1 35.156 (32.892)	Prec@5 64.844 (62.271)
Epoch: [60][200/7045]	Time 0.290 (0.259)	Data 0.239 (0.198)	Loss 2.9931 (2.8487)	Prec@1 29.297 (32.917)	Prec@5 58.984 (62.288)
Epoch: [60][210/7045]	Time 0.362 (0.259)	Data 0.312 (0.197)	Loss 2.8925 (2.8469)	Prec@1 35.547 (33.005)	Prec@5 62.891 (62.346)
Epoch: [60][220/7045]	Time 0.561 (0.259)	Data 0.501 (0.198)	Loss 2.7970 (2.8451)	Prec@1 30.859 (32.986)	Prec@5 65.234 (62.401)
Epoch: [60][230/7045]	Time 0.252 (0.258)	Data 0.201 (0.197)	Loss 2.8590 (2.8465)	Prec@1 35.156 (32.944)	Prec@5 61.719 (62.375)
Epoch: [60][240/7045]	Time 0.364 (0.258)	Data 0.312 (0.196)	Loss 2.6119 (2.8446)	Prec@1 34.375 (32.924)	Prec@5 67.969 (62.409)
Epoch: [60][250/7045]	Time 0.195 (0.258)	Data 0.144 (0.196)	Loss 2.7319 (2.8416)	Prec@1 34.766 (32.996)	Prec@5 65.625 (62.458)
Epoch: [60][260/7045]	Time 0.102 (0.257)	Data 0.001 (0.195)	Loss 2.9642 (2.8407)	Prec@1 30.859 (33.027)	Prec@5 62.109 (62.507)
Epoch: [60][270/7045]	Time 0.635 (0.258)	Data 0.585 (0.196)	Loss 3.0110 (2.8396)	Prec@1 32.422 (33.024)	Prec@5 57.031 (62.493)
Epoch: [60][280/7045]	Time 0.167 (0.258)	Data 0.115 (0.195)	Loss 2.8166 (2.8390)	Prec@1 32.031 (33.052)	Prec@5 59.766 (62.507)
Epoch: [60][290/7045]	Time 0.250 (0.257)	Data 0.199 (0.195)	Loss 2.9730 (2.8380)	Prec@1 32.812 (33.084)	Prec@5 59.375 (62.524)
Epoch: [60][300/7045]	Time 0.168 (0.257)	Data 0.118 (0.194)	Loss 2.6695 (2.8388)	Prec@1 32.812 (33.042)	Prec@5 65.625 (62.468)
Epoch: [60][310/7045]	Time 0.227 (0.257)	Data 0.175 (0.195)	Loss 2.6839 (2.8392)	Prec@1 34.766 (33.022)	Prec@5 61.719 (62.475)
Epoch: [60][320/7045]	Time 0.115 (0.256)	Data 0.063 (0.194)	Loss 2.9118 (2.8388)	Prec@1 34.375 (33.001)	Prec@5 62.891 (62.456)
Epoch: [60][330/7045]	Time 0.288 (0.256)	Data 0.236 (0.194)	Loss 2.8109 (2.8372)	Prec@1 32.422 (33.023)	Prec@5 63.281 (62.485)
Epoch: [60][340/7045]	Time 0.299 (0.256)	Data 0.241 (0.194)	Loss 2.7705 (2.8335)	Prec@1 32.812 (33.092)	Prec@5 60.938 (62.560)
Epoch: [60][350/7045]	Time 0.215 (0.255)	Data 0.163 (0.194)	Loss 2.8702 (2.8329)	Prec@1 33.203 (33.110)	Prec@5 62.500 (62.583)
Epoch: [60][360/7045]	Time 0.112 (0.256)	Data 0.048 (0.194)	Loss 2.8062 (2.8316)	Prec@1 33.203 (33.133)	Prec@5 65.234 (62.618)
Epoch: [60][370/7045]	Time 0.127 (0.255)	Data 0.076 (0.194)	Loss 2.8232 (2.8295)	Prec@1 35.547 (33.166)	Prec@5 65.234 (62.661)
Epoch: [60][380/7045]	Time 0.187 (0.255)	Data 0.136 (0.194)	Loss 2.7923 (2.8297)	Prec@1 34.766 (33.198)	Prec@5 63.281 (62.675)
Epoch: [60][390/7045]	Time 0.365 (0.255)	Data 0.313 (0.195)	Loss 2.8299 (2.8274)	Prec@1 30.078 (33.236)	Prec@5 63.281 (62.718)
Epoch: [60][400/7045]	Time 0.104 (0.255)	Data 0.052 (0.194)	Loss 2.9499 (2.8275)	Prec@1 33.203 (33.248)	Prec@5 62.109 (62.719)
Epoch: [60][410/7045]	Time 0.379 (0.255)	Data 0.327 (0.195)	Loss 2.9655 (2.8272)	Prec@1 28.516 (33.251)	Prec@5 61.719 (62.710)
Epoch: [60][420/7045]	Time 0.240 (0.255)	Data 0.187 (0.194)	Loss 3.0579 (2.8289)	Prec@1 27.734 (33.238)	Prec@5 58.203 (62.654)
Epoch: [60][430/7045]	Time 0.103 (0.255)	Data 0.001 (0.194)	Loss 2.7821 (2.8266)	Prec@1 35.938 (33.298)	Prec@5 64.062 (62.700)
Epoch: [60][440/7045]	Time 0.481 (0.255)	Data 0.430 (0.194)	Loss 2.5452 (2.8257)	Prec@1 39.062 (33.294)	Prec@5 66.406 (62.723)
Epoch: [60][450/7045]	Time 0.114 (0.255)	Data 0.062 (0.193)	Loss 2.7809 (2.8248)	Prec@1 37.109 (33.328)	Prec@5 60.156 (62.723)
Epoch: [60][460/7045]	Time 0.350 (0.255)	Data 0.300 (0.194)	Loss 2.7747 (2.8239)	Prec@1 33.984 (33.338)	Prec@5 66.016 (62.753)
Epoch: [60][470/7045]	Time 0.102 (0.255)	Data 0.014 (0.193)	Loss 2.5843 (2.8225)	Prec@1 37.500 (33.345)	Prec@5 67.969 (62.799)
Epoch: [60][480/7045]	Time 0.110 (0.255)	Data 0.058 (0.194)	Loss 2.9055 (2.8225)	Prec@1 30.859 (33.362)	Prec@5 59.375 (62.809)
Epoch: [60][490/7045]	Time 0.499 (0.255)	Data 0.439 (0.194)	Loss 3.0092 (2.8226)	Prec@1 30.078 (33.350)	Prec@5 56.641 (62.788)
Epoch: [60][500/7045]	Time 0.176 (0.255)	Data 0.115 (0.194)	Loss 2.8943 (2.8230)	Prec@1 30.859 (33.330)	Prec@5 62.500 (62.776)
Epoch: [60][510/7045]	Time 0.308 (0.255)	Data 0.256 (0.193)	Loss 2.4814 (2.8210)	Prec@1 36.328 (33.358)	Prec@5 67.969 (62.818)
Epoch: [60][520/7045]	Time 0.105 (0.255)	Data 0.052 (0.193)	Loss 2.7711 (2.8211)	Prec@1 35.156 (33.363)	Prec@5 64.062 (62.829)
Epoch: [60][530/7045]	Time 0.413 (0.255)	Data 0.355 (0.194)	Loss 3.0010 (2.8205)	Prec@1 30.078 (33.372)	Prec@5 57.812 (62.849)
Epoch: [60][540/7045]	Time 0.467 (0.255)	Data 0.416 (0.194)	Loss 2.5174 (2.8190)	Prec@1 43.359 (33.422)	Prec@5 69.141 (62.879)
Epoch: [60][550/7045]	Time 0.265 (0.255)	Data 0.213 (0.193)	Loss 2.5357 (2.8181)	Prec@1 40.625 (33.429)	Prec@5 66.016 (62.888)
Epoch: [60][560/7045]	Time 0.630 (0.255)	Data 0.578 (0.193)	Loss 2.8266 (2.8171)	Prec@1 31.250 (33.457)	Prec@5 64.844 (62.918)
Epoch: [60][570/7045]	Time 0.162 (0.254)	Data 0.103 (0.193)	Loss 2.7817 (2.8170)	Prec@1 29.688 (33.473)	Prec@5 65.234 (62.942)
Epoch: [60][580/7045]	Time 0.441 (0.255)	Data 0.390 (0.193)	Loss 2.7495 (2.8163)	Prec@1 36.719 (33.487)	Prec@5 62.891 (62.957)
Epoch: [60][590/7045]	Time 0.101 (0.254)	Data 0.001 (0.193)	Loss 2.7710 (2.8164)	Prec@1 38.672 (33.493)	Prec@5 64.062 (62.956)
Epoch: [60][600/7045]	Time 0.450 (0.254)	Data 0.398 (0.192)	Loss 2.9079 (2.8158)	Prec@1 32.031 (33.504)	Prec@5 62.500 (62.980)
Epoch: [60][610/7045]	Time 0.102 (0.254)	Data 0.008 (0.192)	Loss 2.7894 (2.8147)	Prec@1 30.469 (33.521)	Prec@5 63.281 (62.994)
Epoch: [60][620/7045]	Time 0.304 (0.254)	Data 0.253 (0.192)	Loss 2.6040 (2.8138)	Prec@1 36.719 (33.537)	Prec@5 69.141 (63.018)
Epoch: [60][630/7045]	Time 0.098 (0.254)	Data 0.004 (0.192)	Loss 2.8973 (2.8133)	Prec@1 30.469 (33.535)	Prec@5 62.500 (63.050)
Epoch: [60][640/7045]	Time 0.148 (0.254)	Data 0.097 (0.192)	Loss 2.6746 (2.8129)	Prec@1 35.547 (33.530)	Prec@5 64.844 (63.050)
Epoch: [60][650/7045]	Time 0.112 (0.253)	Data 0.059 (0.191)	Loss 2.7717 (2.8123)	Prec@1 37.109 (33.545)	Prec@5 66.016 (63.074)
Epoch: [60][660/7045]	Time 0.152 (0.254)	Data 0.093 (0.191)	Loss 2.6964 (2.8116)	Prec@1 37.500 (33.567)	Prec@5 64.453 (63.089)
Epoch: [60][670/7045]	Time 0.103 (0.253)	Data 0.003 (0.190)	Loss 2.6727 (2.8105)	Prec@1 36.328 (33.606)	Prec@5 66.797 (63.123)
Epoch: [60][680/7045]	Time 0.346 (0.254)	Data 0.289 (0.191)	Loss 2.8576 (2.8110)	Prec@1 32.812 (33.598)	Prec@5 60.938 (63.106)
Epoch: [60][690/7045]	Time 0.303 (0.253)	Data 0.251 (0.191)	Loss 2.5529 (2.8097)	Prec@1 38.672 (33.622)	Prec@5 66.016 (63.121)
Epoch: [60][700/7045]	Time 0.228 (0.253)	Data 0.177 (0.191)	Loss 2.7303 (2.8093)	Prec@1 34.375 (33.648)	Prec@5 64.453 (63.134)
Epoch: [60][710/7045]	Time 0.519 (0.253)	Data 0.467 (0.191)	Loss 2.8877 (2.8085)	Prec@1 30.078 (33.657)	Prec@5 61.719 (63.150)
Epoch: [60][720/7045]	Time 0.175 (0.253)	Data 0.123 (0.191)	Loss 2.7315 (2.8088)	Prec@1 33.203 (33.657)	Prec@5 61.328 (63.128)
Epoch: [60][730/7045]	Time 0.398 (0.253)	Data 0.344 (0.190)	Loss 2.7042 (2.8093)	Prec@1 35.938 (33.643)	Prec@5 64.844 (63.120)
Epoch: [60][740/7045]	Time 0.146 (0.253)	Data 0.095 (0.190)	Loss 2.7245 (2.8094)	Prec@1 33.203 (33.638)	Prec@5 64.844 (63.112)
Epoch: [60][750/7045]	Time 0.107 (0.253)	Data 0.055 (0.190)	Loss 2.8190 (2.8091)	Prec@1 33.594 (33.654)	Prec@5 60.547 (63.113)
Epoch: [60][760/7045]	Time 0.212 (0.253)	Data 0.161 (0.190)	Loss 2.5411 (2.8083)	Prec@1 39.844 (33.679)	Prec@5 66.797 (63.132)
Epoch: [60][770/7045]	Time 0.372 (0.253)	Data 0.320 (0.191)	Loss 2.8849 (2.8088)	Prec@1 32.812 (33.669)	Prec@5 62.891 (63.116)
Epoch: [60][780/7045]	Time 0.102 (0.253)	Data 0.008 (0.190)	Loss 2.9105 (2.8084)	Prec@1 32.031 (33.681)	Prec@5 59.766 (63.119)
Epoch: [60][790/7045]	Time 0.156 (0.253)	Data 0.103 (0.191)	Loss 2.6254 (2.8081)	Prec@1 38.281 (33.693)	Prec@5 68.359 (63.126)
Epoch: [60][800/7045]	Time 0.133 (0.253)	Data 0.082 (0.190)	Loss 2.8865 (2.8080)	Prec@1 28.516 (33.696)	Prec@5 58.594 (63.130)
Epoch: [60][810/7045]	Time 0.102 (0.253)	Data 0.005 (0.190)	Loss 2.8152 (2.8078)	Prec@1 35.547 (33.695)	Prec@5 61.328 (63.131)
Epoch: [60][820/7045]	Time 0.103 (0.253)	Data 0.001 (0.191)	Loss 2.7265 (2.8073)	Prec@1 34.375 (33.707)	Prec@5 65.234 (63.150)
Epoch: [60][830/7045]	Time 0.102 (0.252)	Data 0.018 (0.190)	Loss 2.7663 (2.8073)	Prec@1 35.938 (33.708)	Prec@5 62.891 (63.144)
Epoch: [60][840/7045]	Time 0.110 (0.253)	Data 0.010 (0.190)	Loss 2.5980 (2.8075)	Prec@1 36.328 (33.709)	Prec@5 69.922 (63.143)
Epoch: [60][850/7045]	Time 0.102 (0.252)	Data 0.001 (0.190)	Loss 2.7605 (2.8078)	Prec@1 38.672 (33.703)	Prec@5 64.453 (63.129)
Epoch: [60][860/7045]	Time 0.462 (0.253)	Data 0.411 (0.190)	Loss 2.8638 (2.8075)	Prec@1 33.984 (33.702)	Prec@5 62.500 (63.141)
Epoch: [60][870/7045]	Time 0.101 (0.252)	Data 0.045 (0.190)	Loss 2.8657 (2.8070)	Prec@1 30.859 (33.717)	Prec@5 62.109 (63.148)
Epoch: [60][880/7045]	Time 0.153 (0.253)	Data 0.101 (0.190)	Loss 2.7477 (2.8061)	Prec@1 35.156 (33.724)	Prec@5 62.891 (63.169)
Epoch: [60][890/7045]	Time 0.102 (0.253)	Data 0.001 (0.190)	Loss 2.7166 (2.8057)	Prec@1 38.672 (33.735)	Prec@5 62.891 (63.176)
Epoch: [60][900/7045]	Time 0.102 (0.253)	Data 0.001 (0.190)	Loss 2.6056 (2.8054)	Prec@1 38.281 (33.736)	Prec@5 65.625 (63.179)
Epoch: [60][910/7045]	Time 0.249 (0.253)	Data 0.198 (0.190)	Loss 2.6335 (2.8051)	Prec@1 37.109 (33.752)	Prec@5 64.062 (63.180)
Epoch: [60][920/7045]	Time 0.102 (0.253)	Data 0.001 (0.190)	Loss 2.8017 (2.8050)	Prec@1 35.547 (33.748)	Prec@5 64.062 (63.181)
Epoch: [60][930/7045]	Time 0.100 (0.253)	Data 0.001 (0.190)	Loss 2.6197 (2.8042)	Prec@1 40.625 (33.762)	Prec@5 66.797 (63.219)
Epoch: [60][940/7045]	Time 0.204 (0.253)	Data 0.152 (0.190)	Loss 2.8408 (2.8040)	Prec@1 31.641 (33.763)	Prec@5 62.109 (63.229)
Epoch: [60][950/7045]	Time 0.371 (0.253)	Data 0.317 (0.190)	Loss 2.6376 (2.8043)	Prec@1 34.766 (33.762)	Prec@5 67.188 (63.225)
Epoch: [60][960/7045]	Time 0.252 (0.253)	Data 0.200 (0.190)	Loss 2.7090 (2.8041)	Prec@1 37.891 (33.780)	Prec@5 64.453 (63.214)
Epoch: [60][970/7045]	Time 0.546 (0.253)	Data 0.494 (0.190)	Loss 2.6278 (2.8037)	Prec@1 34.375 (33.799)	Prec@5 66.797 (63.228)
Epoch: [60][980/7045]	Time 0.102 (0.253)	Data 0.001 (0.190)	Loss 2.8026 (2.8034)	Prec@1 33.594 (33.797)	Prec@5 66.406 (63.235)
Epoch: [60][990/7045]	Time 0.244 (0.253)	Data 0.192 (0.190)	Loss 3.0888 (2.8036)	Prec@1 25.781 (33.792)	Prec@5 58.203 (63.233)
Epoch: [60][1000/7045]	Time 0.154 (0.253)	Data 0.103 (0.190)	Loss 2.5836 (2.8027)	Prec@1 37.500 (33.806)	Prec@5 68.750 (63.247)
Epoch: [60][1010/7045]	Time 0.101 (0.253)	Data 0.004 (0.190)	Loss 2.6726 (2.8022)	Prec@1 33.594 (33.800)	Prec@5 67.188 (63.263)
Epoch: [60][1020/7045]	Time 0.236 (0.253)	Data 0.177 (0.190)	Loss 2.7855 (2.8019)	Prec@1 33.984 (33.805)	Prec@5 63.281 (63.270)
Epoch: [60][1030/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 2.5681 (2.8008)	Prec@1 39.844 (33.827)	Prec@5 69.141 (63.292)
Epoch: [60][1040/7045]	Time 0.102 (0.253)	Data 0.007 (0.190)	Loss 2.9656 (2.8005)	Prec@1 30.078 (33.822)	Prec@5 58.984 (63.291)
Epoch: [60][1050/7045]	Time 0.464 (0.253)	Data 0.413 (0.190)	Loss 2.8280 (2.8005)	Prec@1 31.641 (33.822)	Prec@5 63.672 (63.299)
Epoch: [60][1060/7045]	Time 0.157 (0.253)	Data 0.104 (0.189)	Loss 2.7027 (2.8008)	Prec@1 37.500 (33.811)	Prec@5 63.672 (63.290)
Epoch: [60][1070/7045]	Time 0.101 (0.253)	Data 0.001 (0.190)	Loss 2.7483 (2.8000)	Prec@1 37.109 (33.835)	Prec@5 64.844 (63.312)
Epoch: [60][1080/7045]	Time 0.104 (0.253)	Data 0.001 (0.189)	Loss 2.4844 (2.7999)	Prec@1 37.500 (33.829)	Prec@5 67.578 (63.316)
Epoch: [60][1090/7045]	Time 0.102 (0.253)	Data 0.011 (0.189)	Loss 2.7134 (2.7992)	Prec@1 35.938 (33.832)	Prec@5 67.578 (63.335)
Epoch: [60][1100/7045]	Time 0.357 (0.253)	Data 0.304 (0.190)	Loss 2.7571 (2.7990)	Prec@1 33.594 (33.847)	Prec@5 63.672 (63.334)
Epoch: [60][1110/7045]	Time 0.100 (0.253)	Data 0.001 (0.189)	Loss 2.7936 (2.7987)	Prec@1 31.250 (33.858)	Prec@5 62.109 (63.339)
Epoch: [60][1120/7045]	Time 0.438 (0.253)	Data 0.387 (0.190)	Loss 2.9568 (2.7988)	Prec@1 31.250 (33.866)	Prec@5 60.938 (63.347)
Epoch: [60][1130/7045]	Time 0.357 (0.253)	Data 0.295 (0.189)	Loss 2.8084 (2.7985)	Prec@1 37.109 (33.877)	Prec@5 59.375 (63.349)
Epoch: [60][1140/7045]	Time 0.107 (0.253)	Data 0.054 (0.189)	Loss 2.8463 (2.7980)	Prec@1 33.594 (33.897)	Prec@5 62.109 (63.358)
Epoch: [60][1150/7045]	Time 0.300 (0.253)	Data 0.248 (0.190)	Loss 2.9146 (2.7979)	Prec@1 29.688 (33.892)	Prec@5 60.938 (63.360)
Epoch: [60][1160/7045]	Time 0.365 (0.253)	Data 0.314 (0.190)	Loss 2.8375 (2.7977)	Prec@1 32.812 (33.892)	Prec@5 62.109 (63.361)
Epoch: [60][1170/7045]	Time 0.102 (0.253)	Data 0.001 (0.190)	Loss 2.9999 (2.7977)	Prec@1 28.906 (33.881)	Prec@5 56.250 (63.356)
Epoch: [60][1180/7045]	Time 0.595 (0.253)	Data 0.538 (0.190)	Loss 2.7254 (2.7970)	Prec@1 37.500 (33.895)	Prec@5 66.406 (63.376)
Epoch: [60][1190/7045]	Time 0.101 (0.253)	Data 0.021 (0.189)	Loss 2.7297 (2.7966)	Prec@1 36.328 (33.906)	Prec@5 64.453 (63.395)
Epoch: [60][1200/7045]	Time 0.102 (0.253)	Data 0.004 (0.189)	Loss 2.8376 (2.7966)	Prec@1 35.547 (33.909)	Prec@5 62.500 (63.396)
Epoch: [60][1210/7045]	Time 0.114 (0.253)	Data 0.062 (0.189)	Loss 2.7419 (2.7961)	Prec@1 35.938 (33.921)	Prec@5 66.797 (63.409)
Epoch: [60][1220/7045]	Time 0.112 (0.253)	Data 0.018 (0.189)	Loss 2.8203 (2.7964)	Prec@1 33.203 (33.927)	Prec@5 61.719 (63.401)
Epoch: [60][1230/7045]	Time 0.282 (0.253)	Data 0.231 (0.189)	Loss 2.7849 (2.7963)	Prec@1 35.938 (33.926)	Prec@5 63.672 (63.404)
Epoch: [60][1240/7045]	Time 0.272 (0.253)	Data 0.220 (0.189)	Loss 2.8765 (2.7966)	Prec@1 34.766 (33.925)	Prec@5 64.453 (63.393)
Epoch: [60][1250/7045]	Time 0.434 (0.253)	Data 0.383 (0.190)	Loss 2.8535 (2.7964)	Prec@1 31.250 (33.923)	Prec@5 65.234 (63.406)
Epoch: [60][1260/7045]	Time 0.107 (0.253)	Data 0.055 (0.190)	Loss 2.5908 (2.7960)	Prec@1 39.062 (33.933)	Prec@5 66.797 (63.407)
Epoch: [60][1270/7045]	Time 0.101 (0.253)	Data 0.048 (0.190)	Loss 2.7669 (2.7956)	Prec@1 32.422 (33.940)	Prec@5 64.844 (63.427)
Epoch: [60][1280/7045]	Time 0.230 (0.253)	Data 0.179 (0.190)	Loss 2.7954 (2.7954)	Prec@1 35.156 (33.944)	Prec@5 60.938 (63.432)
Epoch: [60][1290/7045]	Time 0.101 (0.253)	Data 0.001 (0.190)	Loss 2.6979 (2.7950)	Prec@1 37.500 (33.954)	Prec@5 63.672 (63.434)
Epoch: [60][1300/7045]	Time 0.505 (0.253)	Data 0.454 (0.190)	Loss 2.6387 (2.7949)	Prec@1 35.547 (33.953)	Prec@5 68.750 (63.450)
Epoch: [60][1310/7045]	Time 0.118 (0.253)	Data 0.067 (0.189)	Loss 2.7570 (2.7950)	Prec@1 37.109 (33.955)	Prec@5 65.625 (63.451)
Epoch: [60][1320/7045]	Time 0.555 (0.253)	Data 0.496 (0.189)	Loss 2.8675 (2.7949)	Prec@1 30.078 (33.957)	Prec@5 61.719 (63.459)
Epoch: [60][1330/7045]	Time 0.117 (0.252)	Data 0.066 (0.189)	Loss 2.8427 (2.7947)	Prec@1 37.109 (33.959)	Prec@5 62.891 (63.462)
Epoch: [60][1340/7045]	Time 0.621 (0.253)	Data 0.569 (0.189)	Loss 2.7259 (2.7943)	Prec@1 28.516 (33.964)	Prec@5 63.672 (63.466)
Epoch: [60][1350/7045]	Time 0.282 (0.252)	Data 0.230 (0.189)	Loss 2.5868 (2.7942)	Prec@1 35.156 (33.964)	Prec@5 69.141 (63.468)
Epoch: [60][1360/7045]	Time 0.214 (0.252)	Data 0.162 (0.189)	Loss 2.8435 (2.7946)	Prec@1 32.812 (33.966)	Prec@5 64.844 (63.467)
Epoch: [60][1370/7045]	Time 0.211 (0.252)	Data 0.159 (0.189)	Loss 2.9835 (2.7950)	Prec@1 35.938 (33.970)	Prec@5 62.109 (63.454)
Epoch: [60][1380/7045]	Time 0.127 (0.252)	Data 0.076 (0.189)	Loss 2.9894 (2.7955)	Prec@1 32.422 (33.966)	Prec@5 61.328 (63.454)
Epoch: [60][1390/7045]	Time 0.267 (0.252)	Data 0.211 (0.189)	Loss 2.6208 (2.7954)	Prec@1 35.547 (33.968)	Prec@5 65.625 (63.457)
Epoch: [60][1400/7045]	Time 0.101 (0.252)	Data 0.001 (0.189)	Loss 2.7428 (2.7954)	Prec@1 37.109 (33.975)	Prec@5 64.062 (63.456)
Epoch: [60][1410/7045]	Time 0.116 (0.252)	Data 0.065 (0.188)	Loss 2.9410 (2.7956)	Prec@1 31.250 (33.971)	Prec@5 62.500 (63.448)
Epoch: [60][1420/7045]	Time 0.187 (0.252)	Data 0.134 (0.188)	Loss 2.6351 (2.7956)	Prec@1 37.891 (33.971)	Prec@5 66.406 (63.452)
Epoch: [60][1430/7045]	Time 0.103 (0.252)	Data 0.001 (0.188)	Loss 2.6072 (2.7952)	Prec@1 34.766 (33.972)	Prec@5 67.969 (63.454)
Epoch: [60][1440/7045]	Time 0.308 (0.252)	Data 0.256 (0.188)	Loss 2.6739 (2.7946)	Prec@1 33.594 (33.973)	Prec@5 64.062 (63.470)
Epoch: [60][1450/7045]	Time 0.651 (0.252)	Data 0.600 (0.189)	Loss 3.1673 (2.7951)	Prec@1 31.641 (33.971)	Prec@5 57.031 (63.465)
Epoch: [60][1460/7045]	Time 0.112 (0.252)	Data 0.001 (0.188)	Loss 2.6826 (2.7946)	Prec@1 36.719 (33.981)	Prec@5 65.234 (63.477)
Epoch: [60][1470/7045]	Time 0.390 (0.252)	Data 0.338 (0.189)	Loss 2.7217 (2.7944)	Prec@1 37.891 (33.985)	Prec@5 65.234 (63.487)
Epoch: [60][1480/7045]	Time 0.260 (0.252)	Data 0.209 (0.189)	Loss 2.6741 (2.7940)	Prec@1 40.234 (33.993)	Prec@5 67.969 (63.498)
Epoch: [60][1490/7045]	Time 0.209 (0.252)	Data 0.157 (0.189)	Loss 2.7261 (2.7933)	Prec@1 35.156 (34.007)	Prec@5 68.359 (63.515)
Epoch: [60][1500/7045]	Time 0.115 (0.252)	Data 0.064 (0.188)	Loss 2.5938 (2.7926)	Prec@1 37.500 (34.025)	Prec@5 70.312 (63.531)
Epoch: [60][1510/7045]	Time 0.109 (0.252)	Data 0.055 (0.189)	Loss 2.6131 (2.7923)	Prec@1 35.938 (34.032)	Prec@5 67.969 (63.539)
Epoch: [60][1520/7045]	Time 0.106 (0.252)	Data 0.054 (0.188)	Loss 2.7623 (2.7920)	Prec@1 32.031 (34.041)	Prec@5 65.234 (63.544)
Epoch: [60][1530/7045]	Time 0.103 (0.252)	Data 0.011 (0.188)	Loss 3.0266 (2.7924)	Prec@1 33.594 (34.035)	Prec@5 59.766 (63.534)
Epoch: [60][1540/7045]	Time 0.104 (0.252)	Data 0.053 (0.188)	Loss 2.6716 (2.7922)	Prec@1 39.062 (34.044)	Prec@5 69.141 (63.544)
Epoch: [60][1550/7045]	Time 0.102 (0.252)	Data 0.002 (0.188)	Loss 2.7768 (2.7922)	Prec@1 32.812 (34.037)	Prec@5 64.062 (63.544)
Epoch: [60][1560/7045]	Time 0.446 (0.252)	Data 0.394 (0.188)	Loss 2.7922 (2.7922)	Prec@1 32.422 (34.037)	Prec@5 65.234 (63.543)
Epoch: [60][1570/7045]	Time 0.102 (0.252)	Data 0.007 (0.188)	Loss 2.6009 (2.7920)	Prec@1 36.328 (34.042)	Prec@5 69.141 (63.546)
Epoch: [60][1580/7045]	Time 0.550 (0.252)	Data 0.499 (0.188)	Loss 2.7203 (2.7914)	Prec@1 36.328 (34.050)	Prec@5 65.625 (63.561)
Epoch: [60][1590/7045]	Time 0.101 (0.251)	Data 0.001 (0.188)	Loss 2.7398 (2.7912)	Prec@1 32.812 (34.059)	Prec@5 64.062 (63.567)
Epoch: [60][1600/7045]	Time 0.578 (0.252)	Data 0.526 (0.188)	Loss 2.6453 (2.7909)	Prec@1 39.844 (34.061)	Prec@5 68.359 (63.575)
Epoch: [60][1610/7045]	Time 0.108 (0.251)	Data 0.056 (0.188)	Loss 2.8992 (2.7908)	Prec@1 35.938 (34.060)	Prec@5 62.500 (63.573)
Epoch: [60][1620/7045]	Time 0.196 (0.251)	Data 0.144 (0.188)	Loss 2.9094 (2.7909)	Prec@1 29.297 (34.057)	Prec@5 64.453 (63.571)
Epoch: [60][1630/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 2.6811 (2.7910)	Prec@1 33.594 (34.052)	Prec@5 65.234 (63.570)
Epoch: [60][1640/7045]	Time 0.103 (0.251)	Data 0.005 (0.188)	Loss 2.7948 (2.7905)	Prec@1 35.938 (34.063)	Prec@5 64.062 (63.584)
Epoch: [60][1650/7045]	Time 0.107 (0.251)	Data 0.054 (0.188)	Loss 2.9173 (2.7905)	Prec@1 28.125 (34.060)	Prec@5 61.328 (63.581)
Epoch: [60][1660/7045]	Time 0.102 (0.251)	Data 0.008 (0.188)	Loss 2.5288 (2.7903)	Prec@1 40.234 (34.061)	Prec@5 66.797 (63.588)
Epoch: [60][1670/7045]	Time 0.355 (0.251)	Data 0.305 (0.188)	Loss 2.9490 (2.7902)	Prec@1 31.641 (34.058)	Prec@5 58.984 (63.587)
Epoch: [60][1680/7045]	Time 0.189 (0.251)	Data 0.138 (0.188)	Loss 2.7439 (2.7902)	Prec@1 35.938 (34.058)	Prec@5 66.016 (63.591)
Epoch: [60][1690/7045]	Time 0.210 (0.251)	Data 0.158 (0.188)	Loss 2.8210 (2.7903)	Prec@1 35.938 (34.062)	Prec@5 63.672 (63.588)
Epoch: [60][1700/7045]	Time 0.102 (0.251)	Data 0.002 (0.188)	Loss 2.6907 (2.7902)	Prec@1 33.203 (34.059)	Prec@5 66.406 (63.591)
Epoch: [60][1710/7045]	Time 0.173 (0.251)	Data 0.122 (0.188)	Loss 2.5225 (2.7899)	Prec@1 39.062 (34.058)	Prec@5 71.484 (63.597)
Epoch: [60][1720/7045]	Time 0.159 (0.251)	Data 0.108 (0.188)	Loss 2.8070 (2.7895)	Prec@1 32.812 (34.065)	Prec@5 63.281 (63.605)
Epoch: [60][1730/7045]	Time 0.368 (0.251)	Data 0.316 (0.188)	Loss 2.5613 (2.7889)	Prec@1 38.281 (34.068)	Prec@5 69.531 (63.624)
Epoch: [60][1740/7045]	Time 0.105 (0.251)	Data 0.053 (0.188)	Loss 2.7624 (2.7884)	Prec@1 32.031 (34.078)	Prec@5 61.328 (63.630)
Epoch: [60][1750/7045]	Time 0.623 (0.251)	Data 0.571 (0.188)	Loss 2.5278 (2.7884)	Prec@1 41.016 (34.081)	Prec@5 68.750 (63.634)
Epoch: [60][1760/7045]	Time 0.109 (0.251)	Data 0.001 (0.188)	Loss 2.6830 (2.7884)	Prec@1 36.719 (34.085)	Prec@5 62.891 (63.634)
Epoch: [60][1770/7045]	Time 0.635 (0.251)	Data 0.576 (0.188)	Loss 2.8254 (2.7880)	Prec@1 35.938 (34.092)	Prec@5 62.109 (63.639)
Epoch: [60][1780/7045]	Time 0.110 (0.251)	Data 0.057 (0.188)	Loss 2.9599 (2.7881)	Prec@1 30.469 (34.091)	Prec@5 61.328 (63.636)
Epoch: [60][1790/7045]	Time 0.586 (0.251)	Data 0.534 (0.188)	Loss 2.7086 (2.7881)	Prec@1 35.547 (34.092)	Prec@5 61.328 (63.634)
Epoch: [60][1800/7045]	Time 0.149 (0.251)	Data 0.098 (0.188)	Loss 2.9474 (2.7878)	Prec@1 30.078 (34.100)	Prec@5 60.156 (63.638)
Epoch: [60][1810/7045]	Time 0.243 (0.251)	Data 0.190 (0.188)	Loss 2.6861 (2.7873)	Prec@1 37.500 (34.101)	Prec@5 67.188 (63.651)
Epoch: [60][1820/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 2.6979 (2.7871)	Prec@1 35.938 (34.097)	Prec@5 66.406 (63.655)
Epoch: [60][1830/7045]	Time 0.109 (0.251)	Data 0.057 (0.188)	Loss 2.7115 (2.7869)	Prec@1 36.328 (34.106)	Prec@5 67.578 (63.662)
Epoch: [60][1840/7045]	Time 0.109 (0.251)	Data 0.002 (0.188)	Loss 2.6732 (2.7869)	Prec@1 39.453 (34.102)	Prec@5 67.578 (63.662)
Epoch: [60][1850/7045]	Time 0.105 (0.251)	Data 0.001 (0.187)	Loss 2.7790 (2.7866)	Prec@1 36.328 (34.112)	Prec@5 63.672 (63.670)
Epoch: [60][1860/7045]	Time 0.101 (0.251)	Data 0.009 (0.187)	Loss 2.7337 (2.7864)	Prec@1 35.938 (34.119)	Prec@5 66.406 (63.673)
Epoch: [60][1870/7045]	Time 0.209 (0.251)	Data 0.158 (0.187)	Loss 2.5366 (2.7861)	Prec@1 40.234 (34.128)	Prec@5 67.188 (63.679)
Epoch: [60][1880/7045]	Time 0.162 (0.251)	Data 0.110 (0.187)	Loss 2.7632 (2.7858)	Prec@1 33.203 (34.130)	Prec@5 66.406 (63.685)
Epoch: [60][1890/7045]	Time 0.854 (0.251)	Data 0.801 (0.187)	Loss 2.7178 (2.7856)	Prec@1 32.812 (34.135)	Prec@5 65.625 (63.686)
Epoch: [60][1900/7045]	Time 0.115 (0.251)	Data 0.063 (0.187)	Loss 2.7441 (2.7857)	Prec@1 34.375 (34.142)	Prec@5 64.844 (63.687)
Epoch: [60][1910/7045]	Time 0.523 (0.251)	Data 0.471 (0.187)	Loss 2.6323 (2.7858)	Prec@1 34.766 (34.145)	Prec@5 64.844 (63.684)
Epoch: [60][1920/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.8306 (2.7855)	Prec@1 32.031 (34.145)	Prec@5 60.938 (63.688)
Epoch: [60][1930/7045]	Time 0.111 (0.251)	Data 0.005 (0.187)	Loss 2.9768 (2.7856)	Prec@1 30.469 (34.138)	Prec@5 60.938 (63.684)
Epoch: [60][1940/7045]	Time 0.328 (0.251)	Data 0.276 (0.187)	Loss 2.9222 (2.7858)	Prec@1 33.984 (34.136)	Prec@5 60.547 (63.679)
Epoch: [60][1950/7045]	Time 0.101 (0.251)	Data 0.050 (0.187)	Loss 2.9837 (2.7856)	Prec@1 33.594 (34.142)	Prec@5 61.719 (63.683)
Epoch: [60][1960/7045]	Time 0.299 (0.251)	Data 0.249 (0.187)	Loss 2.7919 (2.7855)	Prec@1 33.594 (34.139)	Prec@5 66.406 (63.690)
Epoch: [60][1970/7045]	Time 0.109 (0.251)	Data 0.001 (0.187)	Loss 2.8945 (2.7853)	Prec@1 33.203 (34.152)	Prec@5 60.547 (63.695)
Epoch: [60][1980/7045]	Time 0.172 (0.251)	Data 0.122 (0.187)	Loss 2.9291 (2.7850)	Prec@1 30.469 (34.161)	Prec@5 60.938 (63.702)
Epoch: [60][1990/7045]	Time 0.146 (0.251)	Data 0.094 (0.187)	Loss 2.6822 (2.7850)	Prec@1 35.547 (34.164)	Prec@5 65.625 (63.706)
Epoch: [60][2000/7045]	Time 0.840 (0.251)	Data 0.789 (0.187)	Loss 2.6638 (2.7848)	Prec@1 39.453 (34.170)	Prec@5 67.578 (63.708)
Epoch: [60][2010/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 2.7492 (2.7846)	Prec@1 37.500 (34.177)	Prec@5 66.406 (63.714)
Epoch: [60][2020/7045]	Time 0.652 (0.251)	Data 0.591 (0.187)	Loss 2.5916 (2.7845)	Prec@1 38.281 (34.182)	Prec@5 68.359 (63.717)
Epoch: [60][2030/7045]	Time 0.104 (0.251)	Data 0.053 (0.187)	Loss 2.8211 (2.7839)	Prec@1 33.203 (34.191)	Prec@5 64.062 (63.726)
Epoch: [60][2040/7045]	Time 0.684 (0.251)	Data 0.631 (0.187)	Loss 2.8869 (2.7840)	Prec@1 27.734 (34.189)	Prec@5 62.891 (63.724)
Epoch: [60][2050/7045]	Time 0.131 (0.251)	Data 0.079 (0.187)	Loss 2.6829 (2.7841)	Prec@1 33.984 (34.190)	Prec@5 66.016 (63.724)
Epoch: [60][2060/7045]	Time 0.631 (0.251)	Data 0.580 (0.187)	Loss 2.7301 (2.7838)	Prec@1 38.281 (34.193)	Prec@5 61.719 (63.729)
Epoch: [60][2070/7045]	Time 0.102 (0.251)	Data 0.013 (0.187)	Loss 2.7783 (2.7836)	Prec@1 34.375 (34.201)	Prec@5 66.016 (63.734)
Epoch: [60][2080/7045]	Time 0.382 (0.251)	Data 0.330 (0.187)	Loss 2.7819 (2.7835)	Prec@1 30.859 (34.202)	Prec@5 64.453 (63.737)
Epoch: [60][2090/7045]	Time 0.103 (0.251)	Data 0.051 (0.187)	Loss 2.8473 (2.7840)	Prec@1 36.328 (34.193)	Prec@5 65.234 (63.727)
Epoch: [60][2100/7045]	Time 0.404 (0.251)	Data 0.351 (0.187)	Loss 2.6426 (2.7838)	Prec@1 35.938 (34.197)	Prec@5 65.234 (63.725)
Epoch: [60][2110/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 2.7381 (2.7835)	Prec@1 32.422 (34.203)	Prec@5 64.844 (63.732)
Epoch: [60][2120/7045]	Time 0.264 (0.251)	Data 0.213 (0.187)	Loss 2.8456 (2.7831)	Prec@1 31.641 (34.206)	Prec@5 62.500 (63.736)
Epoch: [60][2130/7045]	Time 0.109 (0.251)	Data 0.007 (0.187)	Loss 2.8010 (2.7830)	Prec@1 33.984 (34.208)	Prec@5 64.453 (63.743)
Epoch: [60][2140/7045]	Time 0.170 (0.251)	Data 0.117 (0.187)	Loss 2.9896 (2.7828)	Prec@1 33.594 (34.209)	Prec@5 58.594 (63.746)
Epoch: [60][2150/7045]	Time 0.112 (0.251)	Data 0.001 (0.187)	Loss 2.7982 (2.7827)	Prec@1 35.156 (34.212)	Prec@5 66.406 (63.747)
Epoch: [60][2160/7045]	Time 0.460 (0.251)	Data 0.407 (0.187)	Loss 2.5362 (2.7825)	Prec@1 38.672 (34.215)	Prec@5 65.234 (63.745)
Epoch: [60][2170/7045]	Time 0.263 (0.251)	Data 0.203 (0.187)	Loss 2.6064 (2.7823)	Prec@1 36.719 (34.217)	Prec@5 65.234 (63.748)
Epoch: [60][2180/7045]	Time 0.469 (0.251)	Data 0.417 (0.187)	Loss 2.9457 (2.7825)	Prec@1 31.641 (34.217)	Prec@5 60.156 (63.742)
Epoch: [60][2190/7045]	Time 0.186 (0.251)	Data 0.126 (0.187)	Loss 2.6418 (2.7823)	Prec@1 39.453 (34.225)	Prec@5 62.891 (63.747)
Epoch: [60][2200/7045]	Time 0.559 (0.251)	Data 0.509 (0.187)	Loss 2.7416 (2.7822)	Prec@1 32.422 (34.223)	Prec@5 66.797 (63.749)
Epoch: [60][2210/7045]	Time 0.100 (0.251)	Data 0.001 (0.187)	Loss 2.8970 (2.7822)	Prec@1 34.766 (34.227)	Prec@5 60.938 (63.748)
Epoch: [60][2220/7045]	Time 0.447 (0.251)	Data 0.395 (0.187)	Loss 2.6731 (2.7820)	Prec@1 41.016 (34.233)	Prec@5 63.672 (63.749)
Epoch: [60][2230/7045]	Time 0.101 (0.251)	Data 0.017 (0.187)	Loss 2.7599 (2.7818)	Prec@1 35.547 (34.238)	Prec@5 66.797 (63.757)
Epoch: [60][2240/7045]	Time 0.263 (0.251)	Data 0.211 (0.187)	Loss 2.6787 (2.7816)	Prec@1 32.812 (34.239)	Prec@5 65.625 (63.768)
Epoch: [60][2250/7045]	Time 0.101 (0.251)	Data 0.002 (0.187)	Loss 2.8770 (2.7816)	Prec@1 39.062 (34.246)	Prec@5 62.500 (63.770)
Epoch: [60][2260/7045]	Time 0.215 (0.251)	Data 0.163 (0.186)	Loss 2.7200 (2.7818)	Prec@1 32.812 (34.247)	Prec@5 64.453 (63.770)
Epoch: [60][2270/7045]	Time 0.103 (0.251)	Data 0.004 (0.186)	Loss 2.7323 (2.7816)	Prec@1 32.422 (34.249)	Prec@5 68.359 (63.770)
Epoch: [60][2280/7045]	Time 0.103 (0.251)	Data 0.051 (0.186)	Loss 2.8029 (2.7817)	Prec@1 32.812 (34.249)	Prec@5 62.109 (63.766)
Epoch: [60][2290/7045]	Time 0.102 (0.251)	Data 0.003 (0.186)	Loss 2.8472 (2.7817)	Prec@1 35.547 (34.248)	Prec@5 64.453 (63.765)
Epoch: [60][2300/7045]	Time 0.217 (0.251)	Data 0.165 (0.186)	Loss 2.7302 (2.7817)	Prec@1 35.547 (34.250)	Prec@5 67.578 (63.769)
Epoch: [60][2310/7045]	Time 0.196 (0.251)	Data 0.144 (0.186)	Loss 2.9067 (2.7815)	Prec@1 33.984 (34.253)	Prec@5 59.766 (63.775)
Epoch: [60][2320/7045]	Time 0.302 (0.251)	Data 0.250 (0.186)	Loss 3.1876 (2.7816)	Prec@1 24.609 (34.249)	Prec@5 56.250 (63.771)
Epoch: [60][2330/7045]	Time 0.102 (0.251)	Data 0.048 (0.186)	Loss 2.6517 (2.7815)	Prec@1 34.375 (34.247)	Prec@5 69.922 (63.777)
Epoch: [60][2340/7045]	Time 0.480 (0.251)	Data 0.429 (0.186)	Loss 2.7985 (2.7812)	Prec@1 34.766 (34.248)	Prec@5 63.281 (63.780)
Epoch: [60][2350/7045]	Time 0.103 (0.250)	Data 0.001 (0.186)	Loss 2.5372 (2.7808)	Prec@1 40.234 (34.255)	Prec@5 68.750 (63.789)
Epoch: [60][2360/7045]	Time 0.543 (0.251)	Data 0.492 (0.186)	Loss 2.7510 (2.7805)	Prec@1 29.297 (34.257)	Prec@5 61.719 (63.792)
Epoch: [60][2370/7045]	Time 0.173 (0.250)	Data 0.121 (0.186)	Loss 2.7766 (2.7806)	Prec@1 36.719 (34.257)	Prec@5 64.453 (63.794)
Epoch: [60][2380/7045]	Time 0.209 (0.251)	Data 0.158 (0.186)	Loss 2.8137 (2.7804)	Prec@1 33.984 (34.263)	Prec@5 59.766 (63.794)
Epoch: [60][2390/7045]	Time 0.227 (0.251)	Data 0.175 (0.186)	Loss 2.7564 (2.7803)	Prec@1 35.938 (34.265)	Prec@5 65.234 (63.794)
Epoch: [60][2400/7045]	Time 0.234 (0.250)	Data 0.183 (0.186)	Loss 2.6365 (2.7802)	Prec@1 38.672 (34.266)	Prec@5 66.797 (63.799)
Epoch: [60][2410/7045]	Time 0.364 (0.251)	Data 0.314 (0.186)	Loss 2.9920 (2.7802)	Prec@1 31.641 (34.260)	Prec@5 59.766 (63.797)
Epoch: [60][2420/7045]	Time 0.113 (0.250)	Data 0.062 (0.186)	Loss 2.6511 (2.7802)	Prec@1 38.281 (34.263)	Prec@5 65.625 (63.798)
Epoch: [60][2430/7045]	Time 0.400 (0.251)	Data 0.350 (0.187)	Loss 2.7982 (2.7801)	Prec@1 32.812 (34.260)	Prec@5 63.672 (63.804)
Epoch: [60][2440/7045]	Time 0.140 (0.250)	Data 0.090 (0.187)	Loss 2.6097 (2.7799)	Prec@1 38.281 (34.265)	Prec@5 66.797 (63.810)
Epoch: [60][2450/7045]	Time 0.481 (0.251)	Data 0.429 (0.187)	Loss 2.7673 (2.7796)	Prec@1 34.375 (34.268)	Prec@5 63.281 (63.816)
Epoch: [60][2460/7045]	Time 0.158 (0.251)	Data 0.099 (0.187)	Loss 2.6667 (2.7795)	Prec@1 33.594 (34.267)	Prec@5 66.016 (63.819)
Epoch: [60][2470/7045]	Time 0.552 (0.251)	Data 0.491 (0.187)	Loss 2.5108 (2.7795)	Prec@1 38.672 (34.263)	Prec@5 70.312 (63.816)
Epoch: [60][2480/7045]	Time 0.277 (0.251)	Data 0.226 (0.187)	Loss 2.5577 (2.7793)	Prec@1 39.062 (34.270)	Prec@5 69.922 (63.819)
Epoch: [60][2490/7045]	Time 0.486 (0.251)	Data 0.435 (0.187)	Loss 2.6546 (2.7792)	Prec@1 32.812 (34.265)	Prec@5 65.234 (63.822)
Epoch: [60][2500/7045]	Time 0.106 (0.250)	Data 0.054 (0.187)	Loss 2.6952 (2.7790)	Prec@1 38.281 (34.268)	Prec@5 67.188 (63.829)
Epoch: [60][2510/7045]	Time 0.525 (0.251)	Data 0.467 (0.187)	Loss 2.6914 (2.7791)	Prec@1 37.500 (34.264)	Prec@5 64.062 (63.828)
Epoch: [60][2520/7045]	Time 0.104 (0.250)	Data 0.001 (0.187)	Loss 2.8833 (2.7790)	Prec@1 31.250 (34.262)	Prec@5 62.500 (63.831)
Epoch: [60][2530/7045]	Time 0.585 (0.251)	Data 0.533 (0.187)	Loss 2.9884 (2.7788)	Prec@1 30.859 (34.264)	Prec@5 62.500 (63.836)
Epoch: [60][2540/7045]	Time 0.235 (0.250)	Data 0.183 (0.187)	Loss 2.7059 (2.7784)	Prec@1 33.203 (34.271)	Prec@5 64.062 (63.842)
Epoch: [60][2550/7045]	Time 0.539 (0.251)	Data 0.488 (0.187)	Loss 2.6518 (2.7783)	Prec@1 36.719 (34.275)	Prec@5 66.016 (63.844)
Epoch: [60][2560/7045]	Time 0.220 (0.250)	Data 0.168 (0.187)	Loss 2.7847 (2.7782)	Prec@1 35.938 (34.281)	Prec@5 67.578 (63.850)
Epoch: [60][2570/7045]	Time 0.436 (0.250)	Data 0.384 (0.187)	Loss 2.6295 (2.7782)	Prec@1 35.938 (34.287)	Prec@5 71.094 (63.856)
Epoch: [60][2580/7045]	Time 0.107 (0.250)	Data 0.022 (0.187)	Loss 2.7646 (2.7780)	Prec@1 35.938 (34.293)	Prec@5 64.453 (63.863)
Epoch: [60][2590/7045]	Time 0.382 (0.250)	Data 0.331 (0.187)	Loss 2.6990 (2.7779)	Prec@1 35.156 (34.294)	Prec@5 65.625 (63.864)
Epoch: [60][2600/7045]	Time 0.099 (0.250)	Data 0.047 (0.187)	Loss 2.7597 (2.7779)	Prec@1 34.375 (34.296)	Prec@5 65.234 (63.863)
Epoch: [60][2610/7045]	Time 0.134 (0.250)	Data 0.082 (0.186)	Loss 2.7666 (2.7776)	Prec@1 32.031 (34.302)	Prec@5 65.625 (63.868)
Epoch: [60][2620/7045]	Time 0.216 (0.250)	Data 0.156 (0.187)	Loss 2.7374 (2.7775)	Prec@1 37.500 (34.305)	Prec@5 63.672 (63.874)
Epoch: [60][2630/7045]	Time 0.118 (0.250)	Data 0.067 (0.186)	Loss 2.8630 (2.7776)	Prec@1 31.250 (34.299)	Prec@5 59.766 (63.873)
Epoch: [60][2640/7045]	Time 0.205 (0.250)	Data 0.153 (0.187)	Loss 2.8083 (2.7776)	Prec@1 32.812 (34.298)	Prec@5 64.844 (63.877)
Epoch: [60][2650/7045]	Time 0.102 (0.250)	Data 0.009 (0.186)	Loss 2.6904 (2.7775)	Prec@1 34.375 (34.300)	Prec@5 66.016 (63.876)
Epoch: [60][2660/7045]	Time 0.383 (0.250)	Data 0.331 (0.187)	Loss 2.6739 (2.7773)	Prec@1 31.641 (34.306)	Prec@5 62.500 (63.878)
Epoch: [60][2670/7045]	Time 0.110 (0.250)	Data 0.056 (0.186)	Loss 2.7706 (2.7772)	Prec@1 31.250 (34.307)	Prec@5 62.109 (63.881)
Epoch: [60][2680/7045]	Time 0.277 (0.250)	Data 0.225 (0.187)	Loss 2.7447 (2.7772)	Prec@1 36.328 (34.308)	Prec@5 68.750 (63.886)
Epoch: [60][2690/7045]	Time 0.110 (0.250)	Data 0.058 (0.186)	Loss 2.7359 (2.7771)	Prec@1 35.156 (34.308)	Prec@5 65.625 (63.891)
Epoch: [60][2700/7045]	Time 0.200 (0.250)	Data 0.138 (0.187)	Loss 2.7489 (2.7770)	Prec@1 32.031 (34.306)	Prec@5 64.844 (63.889)
Epoch: [60][2710/7045]	Time 0.101 (0.250)	Data 0.010 (0.186)	Loss 2.6046 (2.7768)	Prec@1 39.844 (34.312)	Prec@5 68.359 (63.895)
Epoch: [60][2720/7045]	Time 0.108 (0.250)	Data 0.056 (0.186)	Loss 2.6226 (2.7767)	Prec@1 41.406 (34.313)	Prec@5 65.625 (63.896)
Epoch: [60][2730/7045]	Time 0.210 (0.250)	Data 0.159 (0.186)	Loss 2.7559 (2.7769)	Prec@1 36.328 (34.311)	Prec@5 64.453 (63.893)
Epoch: [60][2740/7045]	Time 0.103 (0.250)	Data 0.011 (0.186)	Loss 2.6807 (2.7767)	Prec@1 31.641 (34.317)	Prec@5 67.578 (63.896)
Epoch: [60][2750/7045]	Time 0.435 (0.250)	Data 0.383 (0.187)	Loss 2.7624 (2.7766)	Prec@1 32.031 (34.324)	Prec@5 64.844 (63.898)
Epoch: [60][2760/7045]	Time 0.219 (0.250)	Data 0.168 (0.187)	Loss 2.8947 (2.7764)	Prec@1 31.641 (34.328)	Prec@5 62.891 (63.907)
Epoch: [60][2770/7045]	Time 0.407 (0.250)	Data 0.345 (0.187)	Loss 3.0374 (2.7763)	Prec@1 30.469 (34.322)	Prec@5 59.375 (63.912)
Epoch: [60][2780/7045]	Time 0.102 (0.250)	Data 0.001 (0.187)	Loss 2.8208 (2.7762)	Prec@1 32.422 (34.327)	Prec@5 64.453 (63.914)
Epoch: [60][2790/7045]	Time 0.101 (0.250)	Data 0.001 (0.187)	Loss 2.9661 (2.7762)	Prec@1 30.078 (34.323)	Prec@5 62.891 (63.916)
Epoch: [60][2800/7045]	Time 0.102 (0.250)	Data 0.001 (0.186)	Loss 2.8094 (2.7762)	Prec@1 28.906 (34.325)	Prec@5 67.578 (63.916)
Epoch: [60][2810/7045]	Time 0.109 (0.250)	Data 0.001 (0.187)	Loss 2.7273 (2.7758)	Prec@1 28.906 (34.334)	Prec@5 66.406 (63.919)
Epoch: [60][2820/7045]	Time 0.103 (0.250)	Data 0.051 (0.186)	Loss 3.0695 (2.7756)	Prec@1 31.641 (34.342)	Prec@5 56.641 (63.925)
Epoch: [60][2830/7045]	Time 0.170 (0.250)	Data 0.111 (0.186)	Loss 2.6535 (2.7754)	Prec@1 35.938 (34.345)	Prec@5 65.625 (63.926)
Epoch: [60][2840/7045]	Time 0.289 (0.250)	Data 0.239 (0.186)	Loss 2.5988 (2.7753)	Prec@1 35.547 (34.344)	Prec@5 67.969 (63.928)
Epoch: [60][2850/7045]	Time 0.264 (0.250)	Data 0.212 (0.186)	Loss 2.7602 (2.7752)	Prec@1 33.203 (34.343)	Prec@5 65.234 (63.930)
Epoch: [60][2860/7045]	Time 0.554 (0.250)	Data 0.503 (0.186)	Loss 2.7691 (2.7752)	Prec@1 35.938 (34.340)	Prec@5 62.891 (63.929)
Epoch: [60][2870/7045]	Time 0.116 (0.250)	Data 0.065 (0.186)	Loss 2.8765 (2.7750)	Prec@1 33.984 (34.343)	Prec@5 60.938 (63.935)
Epoch: [60][2880/7045]	Time 0.565 (0.250)	Data 0.513 (0.186)	Loss 2.7351 (2.7746)	Prec@1 33.984 (34.347)	Prec@5 64.453 (63.945)
Epoch: [60][2890/7045]	Time 0.110 (0.250)	Data 0.001 (0.186)	Loss 2.8262 (2.7746)	Prec@1 28.906 (34.347)	Prec@5 62.109 (63.944)
Epoch: [60][2900/7045]	Time 0.468 (0.250)	Data 0.417 (0.186)	Loss 2.6950 (2.7744)	Prec@1 33.984 (34.348)	Prec@5 66.797 (63.943)
Epoch: [60][2910/7045]	Time 0.287 (0.250)	Data 0.236 (0.186)	Loss 2.9259 (2.7745)	Prec@1 32.422 (34.350)	Prec@5 62.891 (63.939)
Epoch: [60][2920/7045]	Time 0.494 (0.250)	Data 0.444 (0.186)	Loss 2.8564 (2.7745)	Prec@1 31.641 (34.350)	Prec@5 62.500 (63.939)
Epoch: [60][2930/7045]	Time 0.112 (0.250)	Data 0.059 (0.186)	Loss 2.7197 (2.7743)	Prec@1 37.109 (34.354)	Prec@5 65.234 (63.940)
Epoch: [60][2940/7045]	Time 0.415 (0.250)	Data 0.364 (0.186)	Loss 2.7941 (2.7741)	Prec@1 32.422 (34.356)	Prec@5 62.891 (63.944)
Epoch: [60][2950/7045]	Time 0.103 (0.250)	Data 0.051 (0.186)	Loss 2.8848 (2.7740)	Prec@1 33.984 (34.358)	Prec@5 64.062 (63.950)
Epoch: [60][2960/7045]	Time 0.309 (0.250)	Data 0.257 (0.186)	Loss 2.7355 (2.7738)	Prec@1 35.938 (34.361)	Prec@5 67.578 (63.954)
Epoch: [60][2970/7045]	Time 0.174 (0.250)	Data 0.123 (0.186)	Loss 2.8465 (2.7735)	Prec@1 33.203 (34.366)	Prec@5 56.641 (63.954)
Epoch: [60][2980/7045]	Time 0.110 (0.250)	Data 0.059 (0.186)	Loss 2.7379 (2.7732)	Prec@1 35.938 (34.370)	Prec@5 66.016 (63.964)
Epoch: [60][2990/7045]	Time 0.164 (0.250)	Data 0.111 (0.186)	Loss 2.9590 (2.7731)	Prec@1 32.031 (34.375)	Prec@5 63.672 (63.969)
Epoch: [60][3000/7045]	Time 0.101 (0.250)	Data 0.001 (0.186)	Loss 2.7347 (2.7730)	Prec@1 31.250 (34.379)	Prec@5 65.625 (63.971)
Epoch: [60][3010/7045]	Time 0.297 (0.250)	Data 0.238 (0.186)	Loss 2.6760 (2.7729)	Prec@1 37.500 (34.380)	Prec@5 67.969 (63.971)
Epoch: [60][3020/7045]	Time 0.267 (0.250)	Data 0.216 (0.186)	Loss 2.7009 (2.7727)	Prec@1 35.547 (34.386)	Prec@5 64.062 (63.977)
Epoch: [60][3030/7045]	Time 0.369 (0.250)	Data 0.318 (0.186)	Loss 2.8762 (2.7728)	Prec@1 33.984 (34.383)	Prec@5 62.891 (63.979)
Epoch: [60][3040/7045]	Time 0.473 (0.250)	Data 0.420 (0.186)	Loss 2.8094 (2.7724)	Prec@1 35.156 (34.393)	Prec@5 64.453 (63.982)
Epoch: [60][3050/7045]	Time 0.103 (0.250)	Data 0.021 (0.186)	Loss 2.9338 (2.7728)	Prec@1 32.031 (34.386)	Prec@5 60.547 (63.974)
Epoch: [60][3060/7045]	Time 0.276 (0.250)	Data 0.226 (0.186)	Loss 2.4792 (2.7726)	Prec@1 38.281 (34.389)	Prec@5 69.922 (63.981)
Epoch: [60][3070/7045]	Time 0.168 (0.250)	Data 0.116 (0.186)	Loss 2.6973 (2.7725)	Prec@1 36.719 (34.391)	Prec@5 64.844 (63.984)
Epoch: [60][3080/7045]	Time 0.265 (0.250)	Data 0.214 (0.186)	Loss 2.8439 (2.7726)	Prec@1 34.766 (34.393)	Prec@5 64.062 (63.983)
Epoch: [60][3090/7045]	Time 0.102 (0.250)	Data 0.004 (0.186)	Loss 2.8061 (2.7725)	Prec@1 32.812 (34.398)	Prec@5 63.281 (63.982)
Epoch: [60][3100/7045]	Time 0.102 (0.250)	Data 0.001 (0.186)	Loss 2.8974 (2.7725)	Prec@1 33.984 (34.395)	Prec@5 61.719 (63.981)
Epoch: [60][3110/7045]	Time 0.102 (0.250)	Data 0.003 (0.186)	Loss 2.7550 (2.7725)	Prec@1 33.594 (34.390)	Prec@5 62.500 (63.978)
Epoch: [60][3120/7045]	Time 0.124 (0.250)	Data 0.073 (0.186)	Loss 2.7374 (2.7725)	Prec@1 31.641 (34.389)	Prec@5 63.281 (63.980)
Epoch: [60][3130/7045]	Time 0.103 (0.250)	Data 0.048 (0.186)	Loss 2.8133 (2.7722)	Prec@1 32.031 (34.393)	Prec@5 64.844 (63.986)
Epoch: [60][3140/7045]	Time 0.109 (0.250)	Data 0.010 (0.186)	Loss 2.7442 (2.7721)	Prec@1 32.812 (34.395)	Prec@5 63.281 (63.988)
Epoch: [60][3150/7045]	Time 0.101 (0.250)	Data 0.001 (0.186)	Loss 2.7927 (2.7723)	Prec@1 32.422 (34.388)	Prec@5 62.109 (63.986)
Epoch: [60][3160/7045]	Time 0.101 (0.250)	Data 0.043 (0.186)	Loss 2.6746 (2.7721)	Prec@1 36.719 (34.390)	Prec@5 64.844 (63.987)
Epoch: [60][3170/7045]	Time 0.279 (0.250)	Data 0.228 (0.186)	Loss 2.7988 (2.7720)	Prec@1 34.766 (34.391)	Prec@5 62.500 (63.988)
Epoch: [60][3180/7045]	Time 0.234 (0.250)	Data 0.182 (0.186)	Loss 2.8409 (2.7720)	Prec@1 35.156 (34.393)	Prec@5 61.719 (63.988)
Epoch: [60][3190/7045]	Time 0.696 (0.250)	Data 0.645 (0.186)	Loss 2.7185 (2.7719)	Prec@1 35.156 (34.393)	Prec@5 64.453 (63.992)
Epoch: [60][3200/7045]	Time 0.099 (0.250)	Data 0.046 (0.186)	Loss 2.8198 (2.7720)	Prec@1 35.547 (34.392)	Prec@5 60.547 (63.990)
Epoch: [60][3210/7045]	Time 0.527 (0.250)	Data 0.475 (0.186)	Loss 2.5897 (2.7719)	Prec@1 37.109 (34.397)	Prec@5 66.406 (63.992)
Epoch: [60][3220/7045]	Time 0.108 (0.250)	Data 0.054 (0.186)	Loss 2.5893 (2.7718)	Prec@1 38.672 (34.396)	Prec@5 66.016 (63.993)
Epoch: [60][3230/7045]	Time 0.634 (0.250)	Data 0.584 (0.186)	Loss 2.8798 (2.7717)	Prec@1 30.078 (34.396)	Prec@5 62.891 (63.997)
Epoch: [60][3240/7045]	Time 0.102 (0.250)	Data 0.001 (0.186)	Loss 2.8806 (2.7719)	Prec@1 31.641 (34.395)	Prec@5 63.672 (63.997)
Epoch: [60][3250/7045]	Time 0.572 (0.250)	Data 0.512 (0.186)	Loss 2.6884 (2.7717)	Prec@1 34.766 (34.397)	Prec@5 67.578 (64.000)
Epoch: [60][3260/7045]	Time 0.102 (0.250)	Data 0.001 (0.185)	Loss 2.5743 (2.7716)	Prec@1 40.234 (34.402)	Prec@5 70.703 (64.002)
Epoch: [60][3270/7045]	Time 0.613 (0.250)	Data 0.555 (0.185)	Loss 2.8340 (2.7714)	Prec@1 30.859 (34.403)	Prec@5 63.672 (64.006)
Epoch: [60][3280/7045]	Time 0.102 (0.250)	Data 0.001 (0.185)	Loss 2.7309 (2.7711)	Prec@1 34.375 (34.408)	Prec@5 64.062 (64.015)
Epoch: [60][3290/7045]	Time 0.644 (0.250)	Data 0.593 (0.185)	Loss 2.7258 (2.7709)	Prec@1 34.766 (34.413)	Prec@5 65.625 (64.015)
Epoch: [60][3300/7045]	Time 0.101 (0.250)	Data 0.001 (0.185)	Loss 2.9281 (2.7709)	Prec@1 35.547 (34.416)	Prec@5 58.203 (64.014)
Epoch: [60][3310/7045]	Time 0.636 (0.250)	Data 0.585 (0.185)	Loss 2.7927 (2.7709)	Prec@1 35.938 (34.419)	Prec@5 62.891 (64.016)
Epoch: [60][3320/7045]	Time 0.102 (0.250)	Data 0.004 (0.185)	Loss 2.8740 (2.7708)	Prec@1 32.422 (34.421)	Prec@5 58.594 (64.017)
Epoch: [60][3330/7045]	Time 0.639 (0.250)	Data 0.586 (0.185)	Loss 2.6003 (2.7706)	Prec@1 38.672 (34.422)	Prec@5 65.234 (64.019)
Epoch: [60][3340/7045]	Time 0.103 (0.250)	Data 0.050 (0.185)	Loss 2.7709 (2.7704)	Prec@1 34.375 (34.418)	Prec@5 63.672 (64.022)
Epoch: [60][3350/7045]	Time 0.392 (0.250)	Data 0.339 (0.185)	Loss 2.8560 (2.7705)	Prec@1 34.375 (34.417)	Prec@5 64.062 (64.020)
Epoch: [60][3360/7045]	Time 0.102 (0.250)	Data 0.001 (0.185)	Loss 2.7089 (2.7703)	Prec@1 33.203 (34.421)	Prec@5 65.234 (64.025)
Epoch: [60][3370/7045]	Time 0.129 (0.250)	Data 0.077 (0.185)	Loss 2.7075 (2.7701)	Prec@1 37.891 (34.424)	Prec@5 67.578 (64.029)
Epoch: [60][3380/7045]	Time 0.107 (0.250)	Data 0.053 (0.185)	Loss 2.7166 (2.7701)	Prec@1 38.281 (34.426)	Prec@5 65.234 (64.029)
Epoch: [60][3390/7045]	Time 0.101 (0.250)	Data 0.001 (0.185)	Loss 2.7676 (2.7699)	Prec@1 32.031 (34.434)	Prec@5 64.844 (64.036)
Epoch: [60][3400/7045]	Time 0.108 (0.250)	Data 0.056 (0.185)	Loss 2.6821 (2.7697)	Prec@1 32.422 (34.434)	Prec@5 62.500 (64.036)
Epoch: [60][3410/7045]	Time 0.143 (0.250)	Data 0.083 (0.185)	Loss 3.0690 (2.7698)	Prec@1 27.734 (34.433)	Prec@5 62.109 (64.037)
Epoch: [60][3420/7045]	Time 0.185 (0.249)	Data 0.134 (0.185)	Loss 2.7545 (2.7697)	Prec@1 33.984 (34.433)	Prec@5 67.578 (64.038)
Epoch: [60][3430/7045]	Time 0.128 (0.250)	Data 0.075 (0.185)	Loss 2.8522 (2.7697)	Prec@1 36.328 (34.433)	Prec@5 62.891 (64.040)
Epoch: [60][3440/7045]	Time 0.134 (0.249)	Data 0.082 (0.185)	Loss 2.6112 (2.7696)	Prec@1 36.719 (34.434)	Prec@5 69.922 (64.040)
Epoch: [60][3450/7045]	Time 0.101 (0.250)	Data 0.001 (0.185)	Loss 2.8629 (2.7696)	Prec@1 37.109 (34.435)	Prec@5 60.547 (64.039)
Epoch: [60][3460/7045]	Time 0.490 (0.250)	Data 0.439 (0.185)	Loss 2.8254 (2.7697)	Prec@1 35.547 (34.433)	Prec@5 64.062 (64.037)
Epoch: [60][3470/7045]	Time 0.103 (0.249)	Data 0.006 (0.185)	Loss 2.7114 (2.7696)	Prec@1 35.156 (34.435)	Prec@5 64.062 (64.039)
Epoch: [60][3480/7045]	Time 0.525 (0.249)	Data 0.475 (0.185)	Loss 2.9194 (2.7695)	Prec@1 30.859 (34.437)	Prec@5 59.766 (64.040)
Epoch: [60][3490/7045]	Time 0.114 (0.249)	Data 0.063 (0.185)	Loss 2.9664 (2.7693)	Prec@1 31.250 (34.438)	Prec@5 58.203 (64.043)
Epoch: [60][3500/7045]	Time 0.569 (0.249)	Data 0.519 (0.185)	Loss 2.6239 (2.7691)	Prec@1 40.625 (34.439)	Prec@5 66.406 (64.047)
Epoch: [60][3510/7045]	Time 0.100 (0.249)	Data 0.012 (0.184)	Loss 2.7087 (2.7689)	Prec@1 37.109 (34.444)	Prec@5 67.578 (64.051)
Epoch: [60][3520/7045]	Time 0.344 (0.249)	Data 0.293 (0.185)	Loss 2.5693 (2.7690)	Prec@1 43.359 (34.446)	Prec@5 68.359 (64.051)
Epoch: [60][3530/7045]	Time 0.240 (0.249)	Data 0.189 (0.185)	Loss 2.7283 (2.7690)	Prec@1 30.469 (34.447)	Prec@5 66.406 (64.052)
Epoch: [60][3540/7045]	Time 0.095 (0.249)	Data 0.001 (0.185)	Loss 2.8119 (2.7688)	Prec@1 31.250 (34.447)	Prec@5 65.625 (64.056)
Epoch: [60][3550/7045]	Time 0.159 (0.249)	Data 0.107 (0.184)	Loss 2.7999 (2.7688)	Prec@1 33.594 (34.446)	Prec@5 64.453 (64.057)
Epoch: [60][3560/7045]	Time 0.165 (0.249)	Data 0.112 (0.185)	Loss 2.7643 (2.7687)	Prec@1 33.984 (34.450)	Prec@5 62.500 (64.057)
Epoch: [60][3570/7045]	Time 0.247 (0.249)	Data 0.195 (0.184)	Loss 2.5916 (2.7687)	Prec@1 37.891 (34.447)	Prec@5 67.969 (64.056)
Epoch: [60][3580/7045]	Time 0.260 (0.249)	Data 0.209 (0.184)	Loss 2.5673 (2.7685)	Prec@1 35.938 (34.451)	Prec@5 70.312 (64.061)
Epoch: [60][3590/7045]	Time 0.427 (0.249)	Data 0.376 (0.184)	Loss 2.6215 (2.7684)	Prec@1 32.812 (34.456)	Prec@5 66.406 (64.063)
Epoch: [60][3600/7045]	Time 0.228 (0.249)	Data 0.177 (0.184)	Loss 2.6883 (2.7683)	Prec@1 33.594 (34.457)	Prec@5 67.188 (64.065)
Epoch: [60][3610/7045]	Time 0.625 (0.249)	Data 0.573 (0.184)	Loss 2.8176 (2.7682)	Prec@1 34.375 (34.458)	Prec@5 64.062 (64.070)
Epoch: [60][3620/7045]	Time 0.101 (0.249)	Data 0.005 (0.184)	Loss 2.7954 (2.7683)	Prec@1 30.078 (34.455)	Prec@5 61.328 (64.066)
Epoch: [60][3630/7045]	Time 0.473 (0.249)	Data 0.421 (0.184)	Loss 2.7635 (2.7683)	Prec@1 35.547 (34.455)	Prec@5 63.281 (64.062)
Epoch: [60][3640/7045]	Time 0.112 (0.249)	Data 0.001 (0.184)	Loss 2.6858 (2.7682)	Prec@1 35.938 (34.452)	Prec@5 65.625 (64.064)
Epoch: [60][3650/7045]	Time 0.424 (0.249)	Data 0.372 (0.184)	Loss 2.8051 (2.7681)	Prec@1 33.594 (34.452)	Prec@5 63.672 (64.065)
Epoch: [60][3660/7045]	Time 0.178 (0.249)	Data 0.117 (0.184)	Loss 2.6280 (2.7678)	Prec@1 34.766 (34.457)	Prec@5 67.578 (64.069)
Epoch: [60][3670/7045]	Time 0.473 (0.249)	Data 0.421 (0.184)	Loss 2.6181 (2.7676)	Prec@1 35.938 (34.460)	Prec@5 65.625 (64.074)
Epoch: [60][3680/7045]	Time 0.106 (0.249)	Data 0.053 (0.184)	Loss 2.7419 (2.7674)	Prec@1 33.984 (34.465)	Prec@5 59.375 (64.075)
Epoch: [60][3690/7045]	Time 0.606 (0.249)	Data 0.547 (0.184)	Loss 2.6090 (2.7671)	Prec@1 37.891 (34.469)	Prec@5 66.797 (64.081)
Epoch: [60][3700/7045]	Time 0.107 (0.249)	Data 0.045 (0.184)	Loss 2.7329 (2.7670)	Prec@1 36.719 (34.471)	Prec@5 67.188 (64.085)
Epoch: [60][3710/7045]	Time 0.696 (0.249)	Data 0.644 (0.184)	Loss 2.7136 (2.7670)	Prec@1 33.594 (34.472)	Prec@5 62.109 (64.088)
Epoch: [60][3720/7045]	Time 0.176 (0.249)	Data 0.126 (0.184)	Loss 2.2899 (2.7668)	Prec@1 42.188 (34.475)	Prec@5 72.266 (64.094)
Epoch: [60][3730/7045]	Time 0.609 (0.249)	Data 0.558 (0.184)	Loss 2.8176 (2.7666)	Prec@1 35.156 (34.477)	Prec@5 59.766 (64.097)
Epoch: [60][3740/7045]	Time 0.108 (0.249)	Data 0.024 (0.184)	Loss 2.7372 (2.7667)	Prec@1 33.594 (34.474)	Prec@5 62.500 (64.095)
Epoch: [60][3750/7045]	Time 0.428 (0.249)	Data 0.377 (0.184)	Loss 2.7611 (2.7667)	Prec@1 36.328 (34.478)	Prec@5 65.234 (64.097)
Epoch: [60][3760/7045]	Time 0.146 (0.249)	Data 0.094 (0.184)	Loss 2.5823 (2.7667)	Prec@1 35.547 (34.476)	Prec@5 67.188 (64.097)
Epoch: [60][3770/7045]	Time 0.102 (0.249)	Data 0.010 (0.184)	Loss 2.7607 (2.7666)	Prec@1 37.109 (34.481)	Prec@5 67.578 (64.100)
Epoch: [60][3780/7045]	Time 0.137 (0.249)	Data 0.086 (0.184)	Loss 2.6137 (2.7665)	Prec@1 36.328 (34.482)	Prec@5 64.062 (64.099)
Epoch: [60][3790/7045]	Time 0.631 (0.249)	Data 0.573 (0.184)	Loss 2.6778 (2.7662)	Prec@1 35.156 (34.487)	Prec@5 65.625 (64.104)
Epoch: [60][3800/7045]	Time 0.106 (0.249)	Data 0.001 (0.184)	Loss 2.7177 (2.7661)	Prec@1 37.500 (34.491)	Prec@5 65.625 (64.107)
Epoch: [60][3810/7045]	Time 0.651 (0.249)	Data 0.599 (0.184)	Loss 2.6932 (2.7660)	Prec@1 39.453 (34.493)	Prec@5 65.234 (64.110)
Epoch: [60][3820/7045]	Time 0.134 (0.249)	Data 0.071 (0.184)	Loss 2.5431 (2.7659)	Prec@1 36.719 (34.491)	Prec@5 70.703 (64.109)
Epoch: [60][3830/7045]	Time 0.582 (0.249)	Data 0.524 (0.184)	Loss 2.7574 (2.7661)	Prec@1 33.984 (34.485)	Prec@5 62.109 (64.107)
Epoch: [60][3840/7045]	Time 0.351 (0.249)	Data 0.301 (0.184)	Loss 2.6545 (2.7661)	Prec@1 35.547 (34.489)	Prec@5 66.406 (64.108)
Epoch: [60][3850/7045]	Time 0.427 (0.249)	Data 0.377 (0.184)	Loss 2.6069 (2.7660)	Prec@1 39.844 (34.485)	Prec@5 63.672 (64.108)
Epoch: [60][3860/7045]	Time 0.220 (0.249)	Data 0.169 (0.184)	Loss 2.5721 (2.7659)	Prec@1 38.672 (34.489)	Prec@5 67.578 (64.111)
Epoch: [60][3870/7045]	Time 0.460 (0.249)	Data 0.408 (0.184)	Loss 2.9682 (2.7657)	Prec@1 32.031 (34.493)	Prec@5 62.500 (64.116)
Epoch: [60][3880/7045]	Time 0.106 (0.249)	Data 0.047 (0.184)	Loss 2.5769 (2.7655)	Prec@1 38.281 (34.496)	Prec@5 69.531 (64.118)
Epoch: [60][3890/7045]	Time 0.405 (0.249)	Data 0.352 (0.184)	Loss 2.9079 (2.7655)	Prec@1 30.859 (34.497)	Prec@5 62.109 (64.119)
Epoch: [60][3900/7045]	Time 0.100 (0.249)	Data 0.013 (0.184)	Loss 2.8627 (2.7655)	Prec@1 30.078 (34.497)	Prec@5 61.719 (64.118)
Epoch: [60][3910/7045]	Time 0.102 (0.249)	Data 0.004 (0.184)	Loss 2.7112 (2.7654)	Prec@1 32.422 (34.498)	Prec@5 66.797 (64.122)
Epoch: [60][3920/7045]	Time 0.370 (0.249)	Data 0.319 (0.184)	Loss 2.7580 (2.7653)	Prec@1 30.859 (34.501)	Prec@5 65.625 (64.123)
Epoch: [60][3930/7045]	Time 0.280 (0.249)	Data 0.228 (0.184)	Loss 2.6563 (2.7652)	Prec@1 36.328 (34.501)	Prec@5 66.797 (64.127)
Epoch: [60][3940/7045]	Time 0.192 (0.249)	Data 0.142 (0.184)	Loss 2.5451 (2.7651)	Prec@1 37.500 (34.505)	Prec@5 65.234 (64.129)
Epoch: [60][3950/7045]	Time 0.304 (0.249)	Data 0.252 (0.184)	Loss 2.8161 (2.7651)	Prec@1 36.719 (34.505)	Prec@5 60.156 (64.127)
Epoch: [60][3960/7045]	Time 0.220 (0.249)	Data 0.169 (0.184)	Loss 2.7738 (2.7650)	Prec@1 34.375 (34.510)	Prec@5 65.234 (64.129)
Epoch: [60][3970/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 2.6692 (2.7649)	Prec@1 36.719 (34.514)	Prec@5 66.406 (64.130)
Epoch: [60][3980/7045]	Time 0.234 (0.249)	Data 0.182 (0.185)	Loss 2.7612 (2.7647)	Prec@1 35.938 (34.515)	Prec@5 63.672 (64.133)
Epoch: [60][3990/7045]	Time 0.553 (0.249)	Data 0.502 (0.185)	Loss 2.7556 (2.7647)	Prec@1 33.984 (34.516)	Prec@5 64.453 (64.133)
Epoch: [60][4000/7045]	Time 0.325 (0.249)	Data 0.272 (0.185)	Loss 2.8269 (2.7645)	Prec@1 29.688 (34.515)	Prec@5 65.234 (64.133)
Epoch: [60][4010/7045]	Time 0.569 (0.249)	Data 0.517 (0.185)	Loss 2.6753 (2.7645)	Prec@1 32.031 (34.515)	Prec@5 68.359 (64.135)
Epoch: [60][4020/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 2.7615 (2.7644)	Prec@1 32.031 (34.516)	Prec@5 62.109 (64.137)
Epoch: [60][4030/7045]	Time 0.288 (0.249)	Data 0.229 (0.185)	Loss 2.8326 (2.7644)	Prec@1 35.156 (34.514)	Prec@5 66.016 (64.136)
Epoch: [60][4040/7045]	Time 0.103 (0.249)	Data 0.001 (0.185)	Loss 2.7058 (2.7642)	Prec@1 36.328 (34.519)	Prec@5 64.062 (64.139)
Epoch: [60][4050/7045]	Time 0.106 (0.249)	Data 0.001 (0.185)	Loss 2.8693 (2.7643)	Prec@1 32.812 (34.518)	Prec@5 60.547 (64.137)
Epoch: [60][4060/7045]	Time 0.101 (0.249)	Data 0.011 (0.185)	Loss 2.7344 (2.7643)	Prec@1 36.328 (34.519)	Prec@5 64.453 (64.137)
Epoch: [60][4070/7045]	Time 0.101 (0.249)	Data 0.015 (0.185)	Loss 2.7903 (2.7642)	Prec@1 36.328 (34.517)	Prec@5 66.016 (64.138)
Epoch: [60][4080/7045]	Time 0.102 (0.249)	Data 0.008 (0.185)	Loss 2.4632 (2.7640)	Prec@1 39.062 (34.522)	Prec@5 71.484 (64.142)
Epoch: [60][4090/7045]	Time 0.308 (0.249)	Data 0.255 (0.185)	Loss 2.8101 (2.7638)	Prec@1 34.375 (34.527)	Prec@5 62.891 (64.144)
Epoch: [60][4100/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 2.6476 (2.7637)	Prec@1 35.547 (34.527)	Prec@5 64.453 (64.143)
Epoch: [60][4110/7045]	Time 0.179 (0.249)	Data 0.126 (0.185)	Loss 2.8336 (2.7638)	Prec@1 33.203 (34.525)	Prec@5 64.844 (64.140)
Epoch: [60][4120/7045]	Time 0.149 (0.249)	Data 0.097 (0.185)	Loss 2.7557 (2.7637)	Prec@1 36.719 (34.528)	Prec@5 63.281 (64.142)
Epoch: [60][4130/7045]	Time 0.104 (0.249)	Data 0.052 (0.185)	Loss 2.7955 (2.7636)	Prec@1 34.766 (34.532)	Prec@5 62.891 (64.147)
Epoch: [60][4140/7045]	Time 0.244 (0.249)	Data 0.185 (0.185)	Loss 2.6901 (2.7635)	Prec@1 35.938 (34.535)	Prec@5 67.188 (64.151)
Epoch: [60][4150/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 2.8313 (2.7634)	Prec@1 33.203 (34.538)	Prec@5 63.281 (64.152)
Epoch: [60][4160/7045]	Time 0.460 (0.249)	Data 0.407 (0.185)	Loss 2.7377 (2.7634)	Prec@1 35.156 (34.537)	Prec@5 64.062 (64.153)
Epoch: [60][4170/7045]	Time 0.103 (0.249)	Data 0.001 (0.184)	Loss 2.7526 (2.7634)	Prec@1 36.328 (34.538)	Prec@5 64.453 (64.151)
Epoch: [60][4180/7045]	Time 0.518 (0.249)	Data 0.468 (0.185)	Loss 2.7512 (2.7634)	Prec@1 34.766 (34.540)	Prec@5 63.672 (64.146)
Epoch: [60][4190/7045]	Time 0.112 (0.249)	Data 0.060 (0.184)	Loss 2.7804 (2.7632)	Prec@1 35.156 (34.544)	Prec@5 59.766 (64.147)
Epoch: [60][4200/7045]	Time 0.468 (0.249)	Data 0.411 (0.185)	Loss 2.6591 (2.7632)	Prec@1 34.766 (34.542)	Prec@5 65.625 (64.148)
Epoch: [60][4210/7045]	Time 0.393 (0.249)	Data 0.341 (0.185)	Loss 2.7191 (2.7633)	Prec@1 33.984 (34.542)	Prec@5 69.141 (64.149)
Epoch: [60][4220/7045]	Time 0.392 (0.249)	Data 0.335 (0.184)	Loss 2.7140 (2.7633)	Prec@1 33.984 (34.542)	Prec@5 67.578 (64.149)
Epoch: [60][4230/7045]	Time 0.319 (0.249)	Data 0.266 (0.184)	Loss 2.6774 (2.7633)	Prec@1 34.766 (34.541)	Prec@5 66.406 (64.147)
Epoch: [60][4240/7045]	Time 0.615 (0.249)	Data 0.564 (0.185)	Loss 2.7460 (2.7631)	Prec@1 32.031 (34.542)	Prec@5 66.406 (64.151)
Epoch: [60][4250/7045]	Time 0.165 (0.249)	Data 0.114 (0.184)	Loss 2.7244 (2.7631)	Prec@1 37.891 (34.544)	Prec@5 64.844 (64.154)
Epoch: [60][4260/7045]	Time 0.108 (0.249)	Data 0.057 (0.185)	Loss 2.6847 (2.7630)	Prec@1 32.812 (34.545)	Prec@5 63.281 (64.157)
Epoch: [60][4270/7045]	Time 0.162 (0.249)	Data 0.110 (0.184)	Loss 2.7409 (2.7628)	Prec@1 32.812 (34.546)	Prec@5 61.719 (64.162)
Epoch: [60][4280/7045]	Time 0.278 (0.249)	Data 0.228 (0.185)	Loss 2.6131 (2.7625)	Prec@1 36.328 (34.550)	Prec@5 66.406 (64.165)
Epoch: [60][4290/7045]	Time 0.213 (0.249)	Data 0.156 (0.185)	Loss 2.7721 (2.7625)	Prec@1 35.938 (34.547)	Prec@5 64.453 (64.165)
Epoch: [60][4300/7045]	Time 0.105 (0.249)	Data 0.001 (0.185)	Loss 2.6443 (2.7625)	Prec@1 38.672 (34.549)	Prec@5 66.797 (64.165)
Epoch: [60][4310/7045]	Time 0.342 (0.249)	Data 0.290 (0.185)	Loss 2.5569 (2.7624)	Prec@1 39.453 (34.549)	Prec@5 67.578 (64.168)
Epoch: [60][4320/7045]	Time 0.430 (0.249)	Data 0.378 (0.185)	Loss 2.8939 (2.7623)	Prec@1 32.422 (34.553)	Prec@5 61.328 (64.171)
Epoch: [60][4330/7045]	Time 0.204 (0.249)	Data 0.153 (0.185)	Loss 2.7123 (2.7623)	Prec@1 34.375 (34.552)	Prec@5 65.625 (64.171)
Epoch: [60][4340/7045]	Time 0.461 (0.249)	Data 0.409 (0.185)	Loss 2.7842 (2.7622)	Prec@1 35.156 (34.557)	Prec@5 64.844 (64.174)
Epoch: [60][4350/7045]	Time 0.217 (0.249)	Data 0.164 (0.185)	Loss 2.6592 (2.7622)	Prec@1 35.156 (34.554)	Prec@5 67.578 (64.171)
Epoch: [60][4360/7045]	Time 0.109 (0.249)	Data 0.057 (0.185)	Loss 2.8537 (2.7621)	Prec@1 33.594 (34.555)	Prec@5 61.719 (64.172)
Epoch: [60][4370/7045]	Time 0.103 (0.249)	Data 0.018 (0.185)	Loss 2.6364 (2.7620)	Prec@1 35.156 (34.556)	Prec@5 66.406 (64.176)
Epoch: [60][4380/7045]	Time 0.152 (0.249)	Data 0.100 (0.185)	Loss 2.7284 (2.7619)	Prec@1 32.812 (34.556)	Prec@5 65.234 (64.177)
Epoch: [60][4390/7045]	Time 0.106 (0.249)	Data 0.047 (0.185)	Loss 2.7635 (2.7618)	Prec@1 34.375 (34.560)	Prec@5 60.547 (64.177)
Epoch: [60][4400/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 2.8077 (2.7618)	Prec@1 35.547 (34.560)	Prec@5 63.281 (64.178)
Epoch: [60][4410/7045]	Time 0.110 (0.249)	Data 0.001 (0.185)	Loss 2.7422 (2.7617)	Prec@1 34.766 (34.562)	Prec@5 63.672 (64.177)
Epoch: [60][4420/7045]	Time 0.109 (0.249)	Data 0.057 (0.184)	Loss 2.8147 (2.7617)	Prec@1 28.906 (34.562)	Prec@5 60.156 (64.177)
Epoch: [60][4430/7045]	Time 0.316 (0.249)	Data 0.264 (0.185)	Loss 2.6906 (2.7617)	Prec@1 38.672 (34.564)	Prec@5 65.234 (64.175)
Epoch: [60][4440/7045]	Time 0.173 (0.249)	Data 0.121 (0.184)	Loss 2.6040 (2.7617)	Prec@1 38.672 (34.566)	Prec@5 66.406 (64.176)
Epoch: [60][4450/7045]	Time 0.121 (0.249)	Data 0.061 (0.184)	Loss 2.7692 (2.7615)	Prec@1 31.250 (34.567)	Prec@5 64.453 (64.179)
Epoch: [60][4460/7045]	Time 0.640 (0.249)	Data 0.589 (0.185)	Loss 2.7956 (2.7615)	Prec@1 36.328 (34.568)	Prec@5 64.844 (64.181)
Epoch: [60][4470/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 2.7210 (2.7614)	Prec@1 39.062 (34.573)	Prec@5 63.672 (64.182)
Epoch: [60][4480/7045]	Time 0.526 (0.249)	Data 0.472 (0.185)	Loss 2.7925 (2.7612)	Prec@1 32.812 (34.573)	Prec@5 64.844 (64.188)
Epoch: [60][4490/7045]	Time 0.101 (0.249)	Data 0.006 (0.184)	Loss 2.6744 (2.7613)	Prec@1 37.109 (34.572)	Prec@5 67.578 (64.188)
Epoch: [60][4500/7045]	Time 0.183 (0.249)	Data 0.132 (0.184)	Loss 2.6774 (2.7612)	Prec@1 30.469 (34.572)	Prec@5 67.578 (64.191)
Epoch: [60][4510/7045]	Time 0.099 (0.249)	Data 0.001 (0.184)	Loss 2.8573 (2.7612)	Prec@1 31.641 (34.569)	Prec@5 64.453 (64.193)
Epoch: [60][4520/7045]	Time 0.102 (0.249)	Data 0.013 (0.184)	Loss 2.7449 (2.7611)	Prec@1 32.422 (34.569)	Prec@5 64.453 (64.196)
Epoch: [60][4530/7045]	Time 0.194 (0.249)	Data 0.141 (0.184)	Loss 2.9485 (2.7610)	Prec@1 32.031 (34.572)	Prec@5 58.203 (64.196)
Epoch: [60][4540/7045]	Time 0.174 (0.249)	Data 0.121 (0.184)	Loss 2.8345 (2.7611)	Prec@1 30.469 (34.568)	Prec@5 59.766 (64.193)
Epoch: [60][4550/7045]	Time 0.326 (0.249)	Data 0.274 (0.184)	Loss 2.8361 (2.7611)	Prec@1 32.031 (34.567)	Prec@5 61.719 (64.191)
Epoch: [60][4560/7045]	Time 0.260 (0.249)	Data 0.209 (0.184)	Loss 2.7255 (2.7611)	Prec@1 37.109 (34.570)	Prec@5 62.109 (64.191)
Epoch: [60][4570/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 2.6540 (2.7611)	Prec@1 36.719 (34.569)	Prec@5 69.531 (64.192)
Epoch: [60][4580/7045]	Time 0.102 (0.249)	Data 0.004 (0.184)	Loss 2.7862 (2.7611)	Prec@1 36.328 (34.571)	Prec@5 62.891 (64.191)
Epoch: [60][4590/7045]	Time 0.404 (0.249)	Data 0.353 (0.185)	Loss 2.6627 (2.7610)	Prec@1 37.109 (34.573)	Prec@5 67.969 (64.193)
Epoch: [60][4600/7045]	Time 0.244 (0.249)	Data 0.192 (0.184)	Loss 2.6455 (2.7609)	Prec@1 35.547 (34.576)	Prec@5 68.359 (64.194)
Epoch: [60][4610/7045]	Time 0.489 (0.249)	Data 0.438 (0.185)	Loss 2.5716 (2.7607)	Prec@1 38.281 (34.578)	Prec@5 67.578 (64.197)
Epoch: [60][4620/7045]	Time 0.102 (0.249)	Data 0.010 (0.184)	Loss 2.7406 (2.7607)	Prec@1 39.062 (34.579)	Prec@5 68.359 (64.199)
Epoch: [60][4630/7045]	Time 0.470 (0.249)	Data 0.418 (0.184)	Loss 2.6744 (2.7606)	Prec@1 35.156 (34.582)	Prec@5 66.016 (64.202)
Epoch: [60][4640/7045]	Time 0.135 (0.249)	Data 0.084 (0.184)	Loss 2.8417 (2.7607)	Prec@1 35.156 (34.580)	Prec@5 61.328 (64.200)
Epoch: [60][4650/7045]	Time 0.122 (0.249)	Data 0.071 (0.184)	Loss 2.8610 (2.7604)	Prec@1 30.859 (34.586)	Prec@5 59.766 (64.205)
Epoch: [60][4660/7045]	Time 0.120 (0.249)	Data 0.068 (0.184)	Loss 2.7957 (2.7603)	Prec@1 31.641 (34.588)	Prec@5 62.891 (64.206)
Epoch: [60][4670/7045]	Time 0.169 (0.249)	Data 0.118 (0.185)	Loss 2.9059 (2.7604)	Prec@1 36.328 (34.588)	Prec@5 62.891 (64.207)
Epoch: [60][4680/7045]	Time 0.148 (0.249)	Data 0.097 (0.184)	Loss 2.8642 (2.7603)	Prec@1 30.859 (34.588)	Prec@5 61.328 (64.208)
Epoch: [60][4690/7045]	Time 0.216 (0.249)	Data 0.166 (0.184)	Loss 2.6681 (2.7602)	Prec@1 36.328 (34.591)	Prec@5 66.406 (64.212)
Epoch: [60][4700/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 2.6872 (2.7602)	Prec@1 33.594 (34.590)	Prec@5 64.453 (64.211)
Epoch: [60][4710/7045]	Time 0.104 (0.249)	Data 0.001 (0.184)	Loss 2.7993 (2.7603)	Prec@1 36.719 (34.590)	Prec@5 66.406 (64.210)
Epoch: [60][4720/7045]	Time 0.110 (0.249)	Data 0.010 (0.184)	Loss 2.7823 (2.7601)	Prec@1 32.812 (34.593)	Prec@5 64.844 (64.214)
Epoch: [60][4730/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 2.7905 (2.7600)	Prec@1 37.500 (34.596)	Prec@5 66.016 (64.216)
Epoch: [60][4740/7045]	Time 0.232 (0.249)	Data 0.180 (0.184)	Loss 2.7554 (2.7600)	Prec@1 35.547 (34.598)	Prec@5 65.625 (64.215)
Epoch: [60][4750/7045]	Time 0.102 (0.249)	Data 0.015 (0.184)	Loss 2.7022 (2.7599)	Prec@1 38.672 (34.600)	Prec@5 66.016 (64.216)
Epoch: [60][4760/7045]	Time 0.198 (0.249)	Data 0.145 (0.184)	Loss 2.9079 (2.7600)	Prec@1 29.297 (34.600)	Prec@5 62.500 (64.213)
Epoch: [60][4770/7045]	Time 0.100 (0.249)	Data 0.004 (0.184)	Loss 2.4613 (2.7599)	Prec@1 39.844 (34.599)	Prec@5 68.359 (64.215)
Epoch: [60][4780/7045]	Time 0.105 (0.249)	Data 0.018 (0.184)	Loss 2.6816 (2.7599)	Prec@1 41.797 (34.602)	Prec@5 66.016 (64.214)
Epoch: [60][4790/7045]	Time 0.271 (0.249)	Data 0.218 (0.184)	Loss 2.5162 (2.7598)	Prec@1 37.109 (34.601)	Prec@5 68.359 (64.214)
Epoch: [60][4800/7045]	Time 0.112 (0.249)	Data 0.060 (0.184)	Loss 2.8227 (2.7598)	Prec@1 31.641 (34.600)	Prec@5 63.672 (64.216)
Epoch: [60][4810/7045]	Time 0.216 (0.249)	Data 0.165 (0.184)	Loss 2.6102 (2.7596)	Prec@1 39.844 (34.602)	Prec@5 68.750 (64.221)
Epoch: [60][4820/7045]	Time 0.109 (0.249)	Data 0.010 (0.184)	Loss 2.5369 (2.7595)	Prec@1 36.719 (34.604)	Prec@5 68.359 (64.221)
Epoch: [60][4830/7045]	Time 0.102 (0.249)	Data 0.046 (0.184)	Loss 2.8413 (2.7594)	Prec@1 37.500 (34.603)	Prec@5 64.453 (64.222)
Epoch: [60][4840/7045]	Time 0.110 (0.249)	Data 0.001 (0.184)	Loss 2.9155 (2.7594)	Prec@1 32.031 (34.605)	Prec@5 60.938 (64.224)
Epoch: [60][4850/7045]	Time 0.110 (0.249)	Data 0.057 (0.184)	Loss 2.8130 (2.7594)	Prec@1 33.594 (34.607)	Prec@5 62.891 (64.224)
Epoch: [60][4860/7045]	Time 0.208 (0.249)	Data 0.156 (0.184)	Loss 2.7689 (2.7594)	Prec@1 34.766 (34.610)	Prec@5 59.766 (64.223)
Epoch: [60][4870/7045]	Time 0.122 (0.249)	Data 0.069 (0.184)	Loss 2.7898 (2.7592)	Prec@1 33.594 (34.611)	Prec@5 65.234 (64.226)
Epoch: [60][4880/7045]	Time 0.102 (0.249)	Data 0.018 (0.184)	Loss 2.5048 (2.7592)	Prec@1 39.062 (34.612)	Prec@5 67.578 (64.227)
Epoch: [60][4890/7045]	Time 0.282 (0.249)	Data 0.230 (0.184)	Loss 2.6062 (2.7592)	Prec@1 33.203 (34.615)	Prec@5 68.750 (64.226)
Epoch: [60][4900/7045]	Time 0.271 (0.249)	Data 0.220 (0.184)	Loss 2.5313 (2.7591)	Prec@1 40.234 (34.616)	Prec@5 69.922 (64.226)
Epoch: [60][4910/7045]	Time 0.168 (0.249)	Data 0.116 (0.184)	Loss 2.6617 (2.7590)	Prec@1 32.812 (34.618)	Prec@5 66.406 (64.228)
Epoch: [60][4920/7045]	Time 0.142 (0.249)	Data 0.091 (0.184)	Loss 2.7534 (2.7590)	Prec@1 37.109 (34.617)	Prec@5 62.109 (64.230)
Epoch: [60][4930/7045]	Time 0.130 (0.249)	Data 0.078 (0.184)	Loss 2.8380 (2.7590)	Prec@1 30.859 (34.615)	Prec@5 64.062 (64.232)
Epoch: [60][4940/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 2.6831 (2.7590)	Prec@1 34.766 (34.616)	Prec@5 66.406 (64.231)
Epoch: [60][4950/7045]	Time 0.292 (0.249)	Data 0.241 (0.184)	Loss 2.7118 (2.7589)	Prec@1 35.547 (34.616)	Prec@5 65.234 (64.233)
Epoch: [60][4960/7045]	Time 0.131 (0.249)	Data 0.079 (0.184)	Loss 2.8203 (2.7587)	Prec@1 33.594 (34.618)	Prec@5 60.938 (64.235)
Epoch: [60][4970/7045]	Time 0.282 (0.249)	Data 0.230 (0.184)	Loss 2.5671 (2.7587)	Prec@1 39.844 (34.621)	Prec@5 69.531 (64.236)
Epoch: [60][4980/7045]	Time 0.117 (0.249)	Data 0.066 (0.184)	Loss 2.7608 (2.7587)	Prec@1 35.156 (34.618)	Prec@5 61.719 (64.236)
Epoch: [60][4990/7045]	Time 0.371 (0.249)	Data 0.321 (0.184)	Loss 2.6604 (2.7587)	Prec@1 35.156 (34.618)	Prec@5 68.359 (64.237)
Epoch: [60][5000/7045]	Time 0.252 (0.249)	Data 0.201 (0.184)	Loss 2.7202 (2.7588)	Prec@1 35.156 (34.617)	Prec@5 66.406 (64.235)
Epoch: [60][5010/7045]	Time 0.306 (0.249)	Data 0.254 (0.184)	Loss 2.8787 (2.7588)	Prec@1 33.203 (34.615)	Prec@5 62.500 (64.237)
Epoch: [60][5020/7045]	Time 0.103 (0.249)	Data 0.050 (0.184)	Loss 2.6370 (2.7586)	Prec@1 37.109 (34.618)	Prec@5 68.359 (64.240)
Epoch: [60][5030/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 2.7612 (2.7585)	Prec@1 34.375 (34.622)	Prec@5 66.406 (64.242)
Epoch: [60][5040/7045]	Time 0.134 (0.249)	Data 0.083 (0.184)	Loss 2.9589 (2.7585)	Prec@1 32.422 (34.623)	Prec@5 64.453 (64.245)
Epoch: [60][5050/7045]	Time 0.203 (0.249)	Data 0.152 (0.184)	Loss 2.4910 (2.7583)	Prec@1 40.234 (34.627)	Prec@5 67.188 (64.245)
Epoch: [60][5060/7045]	Time 0.326 (0.249)	Data 0.275 (0.184)	Loss 2.7244 (2.7582)	Prec@1 35.938 (34.629)	Prec@5 65.625 (64.249)
Epoch: [60][5070/7045]	Time 0.400 (0.249)	Data 0.349 (0.184)	Loss 2.5374 (2.7581)	Prec@1 40.625 (34.632)	Prec@5 68.359 (64.251)
Epoch: [60][5080/7045]	Time 0.170 (0.249)	Data 0.119 (0.184)	Loss 2.8178 (2.7581)	Prec@1 35.156 (34.632)	Prec@5 61.328 (64.249)
Epoch: [60][5090/7045]	Time 0.211 (0.249)	Data 0.161 (0.185)	Loss 2.8067 (2.7581)	Prec@1 36.719 (34.629)	Prec@5 60.547 (64.248)
Epoch: [60][5100/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 2.7086 (2.7581)	Prec@1 39.453 (34.629)	Prec@5 60.938 (64.248)
Epoch: [60][5110/7045]	Time 0.182 (0.249)	Data 0.131 (0.184)	Loss 2.8394 (2.7580)	Prec@1 36.328 (34.633)	Prec@5 62.500 (64.250)
Epoch: [60][5120/7045]	Time 0.454 (0.249)	Data 0.403 (0.184)	Loss 2.8048 (2.7579)	Prec@1 36.719 (34.635)	Prec@5 58.203 (64.252)
Epoch: [60][5130/7045]	Time 0.109 (0.249)	Data 0.001 (0.184)	Loss 2.8433 (2.7578)	Prec@1 32.031 (34.637)	Prec@5 63.281 (64.254)
Epoch: [60][5140/7045]	Time 0.591 (0.249)	Data 0.541 (0.184)	Loss 2.5918 (2.7577)	Prec@1 40.625 (34.638)	Prec@5 69.141 (64.257)
Epoch: [60][5150/7045]	Time 0.126 (0.249)	Data 0.074 (0.184)	Loss 2.8901 (2.7577)	Prec@1 32.422 (34.639)	Prec@5 57.812 (64.258)
Epoch: [60][5160/7045]	Time 0.404 (0.249)	Data 0.353 (0.184)	Loss 2.7118 (2.7577)	Prec@1 31.641 (34.639)	Prec@5 66.016 (64.256)
Epoch: [60][5170/7045]	Time 0.601 (0.249)	Data 0.548 (0.184)	Loss 2.7959 (2.7577)	Prec@1 35.547 (34.640)	Prec@5 62.500 (64.256)
Epoch: [60][5180/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 2.7835 (2.7576)	Prec@1 33.984 (34.642)	Prec@5 60.547 (64.258)
Epoch: [60][5190/7045]	Time 0.515 (0.249)	Data 0.464 (0.184)	Loss 2.7611 (2.7576)	Prec@1 37.109 (34.641)	Prec@5 62.109 (64.255)
Epoch: [60][5200/7045]	Time 0.210 (0.249)	Data 0.158 (0.184)	Loss 2.9993 (2.7577)	Prec@1 31.641 (34.639)	Prec@5 63.281 (64.254)
Epoch: [60][5210/7045]	Time 0.102 (0.249)	Data 0.048 (0.184)	Loss 2.5342 (2.7576)	Prec@1 37.500 (34.640)	Prec@5 66.797 (64.255)
Epoch: [60][5220/7045]	Time 0.393 (0.249)	Data 0.341 (0.184)	Loss 2.6473 (2.7575)	Prec@1 40.625 (34.644)	Prec@5 67.578 (64.260)
Epoch: [60][5230/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 2.7561 (2.7575)	Prec@1 30.469 (34.641)	Prec@5 66.016 (64.260)
Epoch: [60][5240/7045]	Time 0.658 (0.249)	Data 0.607 (0.185)	Loss 2.7563 (2.7575)	Prec@1 37.109 (34.640)	Prec@5 64.844 (64.261)
Epoch: [60][5250/7045]	Time 0.405 (0.249)	Data 0.355 (0.185)	Loss 2.8183 (2.7574)	Prec@1 29.297 (34.642)	Prec@5 61.719 (64.263)
Epoch: [60][5260/7045]	Time 0.103 (0.249)	Data 0.050 (0.184)	Loss 2.6383 (2.7572)	Prec@1 40.234 (34.645)	Prec@5 69.922 (64.267)
Epoch: [60][5270/7045]	Time 0.595 (0.249)	Data 0.544 (0.185)	Loss 2.5994 (2.7572)	Prec@1 40.234 (34.648)	Prec@5 69.531 (64.267)
Epoch: [60][5280/7045]	Time 0.110 (0.249)	Data 0.007 (0.184)	Loss 2.7597 (2.7572)	Prec@1 33.984 (34.647)	Prec@5 66.016 (64.266)
Epoch: [60][5290/7045]	Time 0.710 (0.249)	Data 0.659 (0.184)	Loss 2.7408 (2.7572)	Prec@1 34.766 (34.648)	Prec@5 64.062 (64.265)
Epoch: [60][5300/7045]	Time 0.290 (0.249)	Data 0.238 (0.184)	Loss 2.8377 (2.7572)	Prec@1 35.938 (34.649)	Prec@5 61.328 (64.265)
Epoch: [60][5310/7045]	Time 0.395 (0.249)	Data 0.343 (0.184)	Loss 2.6522 (2.7572)	Prec@1 40.234 (34.650)	Prec@5 67.188 (64.265)
Epoch: [60][5320/7045]	Time 0.215 (0.249)	Data 0.163 (0.184)	Loss 2.6819 (2.7571)	Prec@1 37.109 (34.649)	Prec@5 64.844 (64.267)
Epoch: [60][5330/7045]	Time 0.229 (0.249)	Data 0.178 (0.184)	Loss 2.5950 (2.7570)	Prec@1 39.453 (34.653)	Prec@5 64.062 (64.270)
Epoch: [60][5340/7045]	Time 0.111 (0.249)	Data 0.006 (0.185)	Loss 2.7993 (2.7569)	Prec@1 32.422 (34.652)	Prec@5 60.938 (64.272)
Epoch: [60][5350/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 2.8317 (2.7568)	Prec@1 32.031 (34.653)	Prec@5 64.844 (64.275)
Epoch: [60][5360/7045]	Time 0.182 (0.249)	Data 0.123 (0.185)	Loss 2.6962 (2.7566)	Prec@1 38.281 (34.659)	Prec@5 66.016 (64.278)
Epoch: [60][5370/7045]	Time 0.399 (0.249)	Data 0.348 (0.185)	Loss 2.6674 (2.7565)	Prec@1 37.500 (34.659)	Prec@5 64.453 (64.278)
Epoch: [60][5380/7045]	Time 0.145 (0.249)	Data 0.093 (0.185)	Loss 2.7980 (2.7564)	Prec@1 37.109 (34.661)	Prec@5 61.719 (64.279)
Epoch: [60][5390/7045]	Time 0.116 (0.249)	Data 0.065 (0.185)	Loss 2.7524 (2.7564)	Prec@1 36.719 (34.662)	Prec@5 62.500 (64.279)
Epoch: [60][5400/7045]	Time 0.291 (0.249)	Data 0.240 (0.185)	Loss 2.8374 (2.7564)	Prec@1 33.984 (34.663)	Prec@5 62.109 (64.280)
Epoch: [60][5410/7045]	Time 0.437 (0.249)	Data 0.385 (0.185)	Loss 2.4121 (2.7563)	Prec@1 43.750 (34.665)	Prec@5 74.609 (64.283)
Epoch: [60][5420/7045]	Time 0.109 (0.249)	Data 0.058 (0.185)	Loss 2.8626 (2.7562)	Prec@1 32.031 (34.665)	Prec@5 59.375 (64.284)
Epoch: [60][5430/7045]	Time 0.721 (0.249)	Data 0.662 (0.185)	Loss 2.5392 (2.7562)	Prec@1 35.938 (34.667)	Prec@5 70.312 (64.285)
Epoch: [60][5440/7045]	Time 0.102 (0.249)	Data 0.026 (0.185)	Loss 2.7647 (2.7561)	Prec@1 34.766 (34.666)	Prec@5 66.016 (64.287)
Epoch: [60][5450/7045]	Time 0.225 (0.249)	Data 0.175 (0.185)	Loss 2.6463 (2.7559)	Prec@1 36.328 (34.668)	Prec@5 66.016 (64.291)
Epoch: [60][5460/7045]	Time 0.102 (0.249)	Data 0.009 (0.185)	Loss 2.9266 (2.7559)	Prec@1 33.203 (34.668)	Prec@5 59.766 (64.288)
Epoch: [60][5470/7045]	Time 0.105 (0.249)	Data 0.001 (0.185)	Loss 2.7203 (2.7558)	Prec@1 37.109 (34.670)	Prec@5 65.234 (64.290)
Epoch: [60][5480/7045]	Time 0.103 (0.249)	Data 0.006 (0.185)	Loss 2.7713 (2.7558)	Prec@1 33.203 (34.669)	Prec@5 64.453 (64.289)
Epoch: [60][5490/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 2.5872 (2.7557)	Prec@1 34.375 (34.671)	Prec@5 68.750 (64.294)
Epoch: [60][5500/7045]	Time 0.102 (0.249)	Data 0.009 (0.184)	Loss 2.8127 (2.7557)	Prec@1 33.203 (34.668)	Prec@5 63.672 (64.293)
Epoch: [60][5510/7045]	Time 0.334 (0.249)	Data 0.284 (0.184)	Loss 2.5486 (2.7557)	Prec@1 39.453 (34.669)	Prec@5 71.484 (64.298)
Epoch: [60][5520/7045]	Time 0.102 (0.249)	Data 0.008 (0.184)	Loss 2.8719 (2.7556)	Prec@1 29.688 (34.673)	Prec@5 62.500 (64.298)
Epoch: [60][5530/7045]	Time 0.533 (0.249)	Data 0.481 (0.185)	Loss 2.7836 (2.7555)	Prec@1 37.109 (34.676)	Prec@5 60.156 (64.298)
Epoch: [60][5540/7045]	Time 0.111 (0.249)	Data 0.061 (0.184)	Loss 2.5123 (2.7554)	Prec@1 40.234 (34.679)	Prec@5 67.969 (64.300)
Epoch: [60][5550/7045]	Time 0.511 (0.249)	Data 0.452 (0.184)	Loss 2.7191 (2.7554)	Prec@1 35.938 (34.679)	Prec@5 62.891 (64.301)
Epoch: [60][5560/7045]	Time 0.149 (0.249)	Data 0.097 (0.184)	Loss 2.7019 (2.7553)	Prec@1 37.109 (34.678)	Prec@5 64.844 (64.303)
Epoch: [60][5570/7045]	Time 0.107 (0.249)	Data 0.003 (0.184)	Loss 2.6071 (2.7553)	Prec@1 37.891 (34.678)	Prec@5 69.141 (64.305)
Epoch: [60][5580/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 2.7696 (2.7553)	Prec@1 30.859 (34.679)	Prec@5 62.109 (64.303)
Epoch: [60][5590/7045]	Time 0.106 (0.249)	Data 0.045 (0.184)	Loss 2.8246 (2.7552)	Prec@1 35.156 (34.680)	Prec@5 63.672 (64.304)
Epoch: [60][5600/7045]	Time 0.406 (0.249)	Data 0.355 (0.184)	Loss 2.6868 (2.7551)	Prec@1 35.156 (34.682)	Prec@5 65.625 (64.306)
Epoch: [60][5610/7045]	Time 0.115 (0.249)	Data 0.057 (0.184)	Loss 2.7462 (2.7551)	Prec@1 33.203 (34.682)	Prec@5 66.797 (64.306)
Epoch: [60][5620/7045]	Time 0.662 (0.249)	Data 0.603 (0.184)	Loss 2.9908 (2.7552)	Prec@1 33.203 (34.682)	Prec@5 58.984 (64.306)
Epoch: [60][5630/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 2.7932 (2.7551)	Prec@1 35.156 (34.686)	Prec@5 64.844 (64.308)
Epoch: [60][5640/7045]	Time 0.622 (0.249)	Data 0.565 (0.184)	Loss 2.7661 (2.7549)	Prec@1 35.156 (34.690)	Prec@5 61.719 (64.310)
Epoch: [60][5650/7045]	Time 0.103 (0.249)	Data 0.001 (0.184)	Loss 2.7637 (2.7549)	Prec@1 37.891 (34.691)	Prec@5 62.109 (64.310)
Epoch: [60][5660/7045]	Time 0.495 (0.249)	Data 0.444 (0.184)	Loss 2.5998 (2.7548)	Prec@1 38.281 (34.692)	Prec@5 64.844 (64.311)
Epoch: [60][5670/7045]	Time 0.147 (0.249)	Data 0.096 (0.184)	Loss 3.0919 (2.7548)	Prec@1 26.953 (34.691)	Prec@5 58.594 (64.311)
Epoch: [60][5680/7045]	Time 0.319 (0.249)	Data 0.269 (0.184)	Loss 2.7448 (2.7548)	Prec@1 34.766 (34.691)	Prec@5 64.453 (64.311)
Epoch: [60][5690/7045]	Time 0.262 (0.249)	Data 0.212 (0.184)	Loss 2.7611 (2.7548)	Prec@1 33.203 (34.689)	Prec@5 58.984 (64.310)
Epoch: [60][5700/7045]	Time 0.099 (0.249)	Data 0.001 (0.184)	Loss 2.7383 (2.7548)	Prec@1 32.422 (34.690)	Prec@5 66.016 (64.312)
Epoch: [60][5710/7045]	Time 0.319 (0.249)	Data 0.269 (0.184)	Loss 2.7168 (2.7547)	Prec@1 37.500 (34.691)	Prec@5 66.797 (64.314)
Epoch: [60][5720/7045]	Time 0.153 (0.249)	Data 0.102 (0.184)	Loss 2.9255 (2.7547)	Prec@1 32.422 (34.691)	Prec@5 58.594 (64.312)
Epoch: [60][5730/7045]	Time 0.344 (0.249)	Data 0.287 (0.184)	Loss 2.9048 (2.7548)	Prec@1 30.469 (34.690)	Prec@5 60.156 (64.311)
Epoch: [60][5740/7045]	Time 0.160 (0.249)	Data 0.108 (0.184)	Loss 2.5957 (2.7547)	Prec@1 36.328 (34.691)	Prec@5 67.188 (64.312)
Epoch: [60][5750/7045]	Time 0.119 (0.249)	Data 0.068 (0.184)	Loss 2.8986 (2.7547)	Prec@1 36.328 (34.693)	Prec@5 58.984 (64.313)
Epoch: [60][5760/7045]	Time 0.548 (0.249)	Data 0.497 (0.184)	Loss 2.6854 (2.7547)	Prec@1 36.719 (34.695)	Prec@5 65.625 (64.313)
Epoch: [60][5770/7045]	Time 0.225 (0.249)	Data 0.172 (0.184)	Loss 2.8014 (2.7545)	Prec@1 33.203 (34.697)	Prec@5 64.453 (64.315)
Epoch: [60][5780/7045]	Time 0.333 (0.249)	Data 0.283 (0.184)	Loss 2.4864 (2.7544)	Prec@1 41.406 (34.701)	Prec@5 66.797 (64.319)
Epoch: [60][5790/7045]	Time 0.183 (0.249)	Data 0.132 (0.184)	Loss 2.5958 (2.7543)	Prec@1 39.453 (34.701)	Prec@5 67.188 (64.318)
Epoch: [60][5800/7045]	Time 0.110 (0.249)	Data 0.001 (0.184)	Loss 2.8280 (2.7544)	Prec@1 33.594 (34.700)	Prec@5 62.500 (64.316)
Epoch: [60][5810/7045]	Time 0.369 (0.249)	Data 0.318 (0.184)	Loss 2.9585 (2.7544)	Prec@1 26.953 (34.698)	Prec@5 61.719 (64.315)
Epoch: [60][5820/7045]	Time 0.142 (0.249)	Data 0.090 (0.184)	Loss 2.6232 (2.7542)	Prec@1 35.547 (34.702)	Prec@5 69.141 (64.318)
Epoch: [60][5830/7045]	Time 0.585 (0.249)	Data 0.534 (0.184)	Loss 2.7754 (2.7541)	Prec@1 35.938 (34.702)	Prec@5 63.281 (64.318)
Epoch: [60][5840/7045]	Time 0.226 (0.249)	Data 0.166 (0.184)	Loss 2.7063 (2.7541)	Prec@1 34.766 (34.703)	Prec@5 61.719 (64.317)
Epoch: [60][5850/7045]	Time 0.665 (0.249)	Data 0.614 (0.184)	Loss 2.5135 (2.7541)	Prec@1 41.406 (34.703)	Prec@5 68.359 (64.317)
Epoch: [60][5860/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 2.8225 (2.7541)	Prec@1 33.594 (34.701)	Prec@5 62.109 (64.318)
Epoch: [60][5870/7045]	Time 0.522 (0.249)	Data 0.470 (0.184)	Loss 2.8317 (2.7541)	Prec@1 33.203 (34.701)	Prec@5 60.938 (64.318)
Epoch: [60][5880/7045]	Time 0.102 (0.249)	Data 0.007 (0.184)	Loss 2.4690 (2.7541)	Prec@1 37.109 (34.702)	Prec@5 70.312 (64.319)
Epoch: [60][5890/7045]	Time 0.241 (0.249)	Data 0.191 (0.184)	Loss 2.7896 (2.7540)	Prec@1 37.891 (34.703)	Prec@5 64.453 (64.320)
Epoch: [60][5900/7045]	Time 0.102 (0.249)	Data 0.005 (0.184)	Loss 3.0120 (2.7540)	Prec@1 31.250 (34.704)	Prec@5 61.328 (64.323)
Epoch: [60][5910/7045]	Time 0.131 (0.249)	Data 0.072 (0.184)	Loss 2.4873 (2.7538)	Prec@1 38.672 (34.707)	Prec@5 67.969 (64.326)
Epoch: [60][5920/7045]	Time 0.114 (0.249)	Data 0.062 (0.184)	Loss 2.8690 (2.7538)	Prec@1 32.422 (34.707)	Prec@5 63.672 (64.327)
Epoch: [60][5930/7045]	Time 0.105 (0.249)	Data 0.054 (0.184)	Loss 2.9592 (2.7538)	Prec@1 31.641 (34.707)	Prec@5 60.938 (64.326)
Epoch: [60][5940/7045]	Time 0.639 (0.249)	Data 0.587 (0.184)	Loss 2.8819 (2.7539)	Prec@1 31.641 (34.707)	Prec@5 62.109 (64.326)
Epoch: [60][5950/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 2.6936 (2.7538)	Prec@1 36.328 (34.707)	Prec@5 67.969 (64.327)
Epoch: [60][5960/7045]	Time 0.515 (0.249)	Data 0.464 (0.184)	Loss 2.6718 (2.7538)	Prec@1 35.547 (34.707)	Prec@5 66.797 (64.329)
Epoch: [60][5970/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 2.6710 (2.7538)	Prec@1 31.641 (34.710)	Prec@5 66.797 (64.329)
Epoch: [60][5980/7045]	Time 0.339 (0.249)	Data 0.287 (0.184)	Loss 2.7689 (2.7537)	Prec@1 35.156 (34.711)	Prec@5 62.891 (64.330)
Epoch: [60][5990/7045]	Time 0.103 (0.249)	Data 0.001 (0.184)	Loss 2.6385 (2.7537)	Prec@1 39.453 (34.713)	Prec@5 67.188 (64.331)
Epoch: [60][6000/7045]	Time 0.108 (0.249)	Data 0.005 (0.184)	Loss 2.7712 (2.7536)	Prec@1 37.500 (34.715)	Prec@5 62.500 (64.333)
Epoch: [60][6010/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 2.5833 (2.7535)	Prec@1 38.281 (34.716)	Prec@5 69.922 (64.335)
Epoch: [60][6020/7045]	Time 0.107 (0.249)	Data 0.005 (0.184)	Loss 2.6494 (2.7535)	Prec@1 32.812 (34.714)	Prec@5 66.016 (64.335)
Epoch: [60][6030/7045]	Time 0.380 (0.249)	Data 0.329 (0.184)	Loss 2.6661 (2.7534)	Prec@1 34.375 (34.716)	Prec@5 64.844 (64.337)
Epoch: [60][6040/7045]	Time 0.207 (0.249)	Data 0.156 (0.184)	Loss 2.5247 (2.7532)	Prec@1 38.672 (34.719)	Prec@5 66.016 (64.339)
Epoch: [60][6050/7045]	Time 0.232 (0.249)	Data 0.180 (0.184)	Loss 2.7077 (2.7531)	Prec@1 33.203 (34.721)	Prec@5 63.672 (64.341)
Epoch: [60][6060/7045]	Time 0.121 (0.249)	Data 0.068 (0.184)	Loss 2.7573 (2.7531)	Prec@1 33.984 (34.723)	Prec@5 67.188 (64.342)
Epoch: [60][6070/7045]	Time 0.379 (0.249)	Data 0.328 (0.184)	Loss 2.6135 (2.7531)	Prec@1 38.281 (34.723)	Prec@5 66.797 (64.340)
Epoch: [60][6080/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 2.7277 (2.7530)	Prec@1 35.156 (34.724)	Prec@5 64.844 (64.340)
Epoch: [60][6090/7045]	Time 0.338 (0.249)	Data 0.282 (0.184)	Loss 2.7158 (2.7528)	Prec@1 33.594 (34.726)	Prec@5 65.625 (64.345)
Epoch: [60][6100/7045]	Time 0.396 (0.249)	Data 0.334 (0.184)	Loss 2.6456 (2.7528)	Prec@1 39.062 (34.727)	Prec@5 65.234 (64.346)
Epoch: [60][6110/7045]	Time 0.173 (0.249)	Data 0.122 (0.184)	Loss 2.9026 (2.7527)	Prec@1 37.109 (34.729)	Prec@5 58.984 (64.348)
Epoch: [60][6120/7045]	Time 0.428 (0.249)	Data 0.377 (0.184)	Loss 2.8127 (2.7526)	Prec@1 31.641 (34.729)	Prec@5 62.109 (64.348)
Epoch: [60][6130/7045]	Time 0.167 (0.249)	Data 0.116 (0.184)	Loss 2.9245 (2.7526)	Prec@1 28.125 (34.729)	Prec@5 63.281 (64.348)
Epoch: [60][6140/7045]	Time 0.171 (0.249)	Data 0.118 (0.184)	Loss 2.9963 (2.7525)	Prec@1 27.734 (34.728)	Prec@5 59.766 (64.349)
Epoch: [60][6150/7045]	Time 0.108 (0.249)	Data 0.056 (0.184)	Loss 2.5043 (2.7524)	Prec@1 35.938 (34.731)	Prec@5 71.484 (64.353)
Epoch: [60][6160/7045]	Time 0.254 (0.249)	Data 0.203 (0.184)	Loss 2.6914 (2.7524)	Prec@1 35.938 (34.731)	Prec@5 66.406 (64.353)
Epoch: [60][6170/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 2.5972 (2.7523)	Prec@1 40.234 (34.732)	Prec@5 66.406 (64.353)
Epoch: [60][6180/7045]	Time 0.234 (0.249)	Data 0.178 (0.184)	Loss 2.7497 (2.7524)	Prec@1 33.984 (34.732)	Prec@5 62.891 (64.352)
Epoch: [60][6190/7045]	Time 0.191 (0.249)	Data 0.140 (0.184)	Loss 2.7313 (2.7524)	Prec@1 31.250 (34.730)	Prec@5 62.891 (64.352)
Epoch: [60][6200/7045]	Time 0.157 (0.249)	Data 0.100 (0.184)	Loss 2.8606 (2.7523)	Prec@1 31.641 (34.731)	Prec@5 58.594 (64.354)
Epoch: [60][6210/7045]	Time 0.453 (0.249)	Data 0.402 (0.184)	Loss 2.7566 (2.7522)	Prec@1 34.766 (34.733)	Prec@5 65.625 (64.354)
Epoch: [60][6220/7045]	Time 0.143 (0.249)	Data 0.092 (0.184)	Loss 2.6018 (2.7521)	Prec@1 34.766 (34.736)	Prec@5 66.016 (64.356)
Epoch: [60][6230/7045]	Time 0.131 (0.249)	Data 0.080 (0.184)	Loss 2.7758 (2.7520)	Prec@1 33.203 (34.737)	Prec@5 64.062 (64.357)
Epoch: [60][6240/7045]	Time 0.114 (0.249)	Data 0.062 (0.184)	Loss 2.4792 (2.7519)	Prec@1 36.719 (34.738)	Prec@5 71.875 (64.358)
Epoch: [60][6250/7045]	Time 0.224 (0.249)	Data 0.172 (0.184)	Loss 2.6491 (2.7518)	Prec@1 31.641 (34.739)	Prec@5 66.797 (64.360)
Epoch: [60][6260/7045]	Time 0.461 (0.249)	Data 0.409 (0.184)	Loss 2.7372 (2.7518)	Prec@1 37.109 (34.741)	Prec@5 63.672 (64.359)
Epoch: [60][6270/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 2.6950 (2.7517)	Prec@1 36.719 (34.742)	Prec@5 67.188 (64.361)
Epoch: [60][6280/7045]	Time 0.278 (0.249)	Data 0.219 (0.184)	Loss 2.7225 (2.7517)	Prec@1 34.375 (34.744)	Prec@5 66.406 (64.363)
Epoch: [60][6290/7045]	Time 0.126 (0.249)	Data 0.075 (0.184)	Loss 2.7599 (2.7517)	Prec@1 34.766 (34.743)	Prec@5 68.359 (64.362)
Epoch: [60][6300/7045]	Time 0.110 (0.249)	Data 0.001 (0.184)	Loss 2.7081 (2.7518)	Prec@1 33.984 (34.743)	Prec@5 65.234 (64.361)
Epoch: [60][6310/7045]	Time 0.103 (0.249)	Data 0.001 (0.184)	Loss 2.6795 (2.7517)	Prec@1 35.938 (34.745)	Prec@5 67.188 (64.361)
Epoch: [60][6320/7045]	Time 0.301 (0.249)	Data 0.250 (0.184)	Loss 2.5802 (2.7517)	Prec@1 34.375 (34.748)	Prec@5 68.750 (64.363)
Epoch: [60][6330/7045]	Time 0.184 (0.249)	Data 0.134 (0.184)	Loss 2.7702 (2.7516)	Prec@1 32.812 (34.751)	Prec@5 65.234 (64.365)
Epoch: [60][6340/7045]	Time 0.311 (0.249)	Data 0.252 (0.184)	Loss 2.8187 (2.7516)	Prec@1 33.203 (34.750)	Prec@5 62.109 (64.365)
Epoch: [60][6350/7045]	Time 0.490 (0.249)	Data 0.432 (0.184)	Loss 2.7646 (2.7517)	Prec@1 32.812 (34.750)	Prec@5 65.234 (64.365)
Epoch: [60][6360/7045]	Time 0.103 (0.249)	Data 0.020 (0.184)	Loss 2.6245 (2.7515)	Prec@1 38.281 (34.752)	Prec@5 69.141 (64.369)
Epoch: [60][6370/7045]	Time 0.135 (0.249)	Data 0.082 (0.184)	Loss 2.8330 (2.7514)	Prec@1 32.031 (34.755)	Prec@5 62.500 (64.370)
Epoch: [60][6380/7045]	Time 0.299 (0.249)	Data 0.248 (0.184)	Loss 2.7620 (2.7514)	Prec@1 35.938 (34.753)	Prec@5 64.844 (64.370)
Epoch: [60][6390/7045]	Time 0.231 (0.249)	Data 0.180 (0.184)	Loss 2.8708 (2.7514)	Prec@1 28.516 (34.754)	Prec@5 64.453 (64.370)
Epoch: [60][6400/7045]	Time 0.106 (0.249)	Data 0.001 (0.184)	Loss 3.0778 (2.7514)	Prec@1 26.562 (34.752)	Prec@5 60.547 (64.369)
Epoch: [60][6410/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 3.0682 (2.7515)	Prec@1 29.688 (34.752)	Prec@5 59.375 (64.368)
Epoch: [60][6420/7045]	Time 0.111 (0.249)	Data 0.059 (0.184)	Loss 2.5759 (2.7514)	Prec@1 33.984 (34.750)	Prec@5 67.969 (64.368)
Epoch: [60][6430/7045]	Time 0.103 (0.249)	Data 0.008 (0.184)	Loss 2.6826 (2.7513)	Prec@1 40.234 (34.752)	Prec@5 64.062 (64.369)
Epoch: [60][6440/7045]	Time 0.107 (0.249)	Data 0.056 (0.184)	Loss 2.5754 (2.7512)	Prec@1 41.016 (34.754)	Prec@5 66.797 (64.370)
Epoch: [60][6450/7045]	Time 0.108 (0.249)	Data 0.001 (0.184)	Loss 2.5741 (2.7512)	Prec@1 41.016 (34.755)	Prec@5 68.359 (64.369)
Epoch: [60][6460/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 2.5788 (2.7512)	Prec@1 35.156 (34.754)	Prec@5 67.578 (64.371)
Epoch: [60][6470/7045]	Time 0.113 (0.249)	Data 0.001 (0.184)	Loss 2.6762 (2.7511)	Prec@1 39.062 (34.755)	Prec@5 65.625 (64.371)
Epoch: [60][6480/7045]	Time 0.188 (0.249)	Data 0.136 (0.184)	Loss 2.6601 (2.7510)	Prec@1 35.938 (34.758)	Prec@5 68.750 (64.374)
Epoch: [60][6490/7045]	Time 0.102 (0.249)	Data 0.003 (0.184)	Loss 2.8007 (2.7510)	Prec@1 37.891 (34.759)	Prec@5 62.109 (64.376)
Epoch: [60][6500/7045]	Time 0.334 (0.249)	Data 0.282 (0.184)	Loss 2.6793 (2.7509)	Prec@1 40.625 (34.761)	Prec@5 63.672 (64.375)
Epoch: [60][6510/7045]	Time 0.469 (0.249)	Data 0.416 (0.184)	Loss 2.7922 (2.7509)	Prec@1 33.594 (34.761)	Prec@5 65.234 (64.377)
Epoch: [60][6520/7045]	Time 0.103 (0.249)	Data 0.051 (0.184)	Loss 2.8595 (2.7508)	Prec@1 32.031 (34.762)	Prec@5 62.891 (64.377)
Epoch: [60][6530/7045]	Time 0.852 (0.249)	Data 0.792 (0.184)	Loss 2.7532 (2.7508)	Prec@1 36.719 (34.762)	Prec@5 65.625 (64.378)
Epoch: [60][6540/7045]	Time 0.275 (0.249)	Data 0.224 (0.184)	Loss 2.5417 (2.7508)	Prec@1 38.281 (34.762)	Prec@5 67.969 (64.379)
Epoch: [60][6550/7045]	Time 0.324 (0.249)	Data 0.273 (0.184)	Loss 2.7468 (2.7508)	Prec@1 37.500 (34.763)	Prec@5 64.062 (64.381)
Epoch: [60][6560/7045]	Time 0.692 (0.249)	Data 0.642 (0.184)	Loss 2.8405 (2.7509)	Prec@1 32.031 (34.761)	Prec@5 65.234 (64.379)
Epoch: [60][6570/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 2.5733 (2.7508)	Prec@1 37.500 (34.762)	Prec@5 67.578 (64.379)
Epoch: [60][6580/7045]	Time 0.441 (0.249)	Data 0.390 (0.184)	Loss 2.4795 (2.7508)	Prec@1 39.453 (34.764)	Prec@5 70.703 (64.380)
Epoch: [60][6590/7045]	Time 0.527 (0.249)	Data 0.476 (0.184)	Loss 2.7937 (2.7508)	Prec@1 31.250 (34.763)	Prec@5 65.234 (64.380)
Epoch: [60][6600/7045]	Time 0.109 (0.249)	Data 0.006 (0.184)	Loss 2.7422 (2.7507)	Prec@1 41.016 (34.766)	Prec@5 61.719 (64.382)
Epoch: [60][6610/7045]	Time 0.261 (0.249)	Data 0.208 (0.184)	Loss 2.6820 (2.7507)	Prec@1 36.719 (34.766)	Prec@5 61.328 (64.383)
Epoch: [60][6620/7045]	Time 0.103 (0.249)	Data 0.001 (0.184)	Loss 2.9392 (2.7506)	Prec@1 30.859 (34.766)	Prec@5 65.625 (64.386)
Epoch: [60][6630/7045]	Time 0.116 (0.249)	Data 0.066 (0.184)	Loss 2.7733 (2.7505)	Prec@1 34.766 (34.769)	Prec@5 67.578 (64.390)
Epoch: [60][6640/7045]	Time 0.540 (0.249)	Data 0.487 (0.184)	Loss 2.6734 (2.7504)	Prec@1 34.766 (34.770)	Prec@5 64.062 (64.393)
Epoch: [60][6650/7045]	Time 0.099 (0.249)	Data 0.001 (0.184)	Loss 2.7516 (2.7503)	Prec@1 33.984 (34.771)	Prec@5 61.719 (64.393)
Epoch: [60][6660/7045]	Time 0.647 (0.249)	Data 0.588 (0.184)	Loss 2.7475 (2.7503)	Prec@1 34.375 (34.771)	Prec@5 63.281 (64.392)
Epoch: [60][6670/7045]	Time 0.119 (0.249)	Data 0.059 (0.184)	Loss 2.7436 (2.7502)	Prec@1 34.375 (34.771)	Prec@5 66.406 (64.396)
Epoch: [60][6680/7045]	Time 0.206 (0.249)	Data 0.155 (0.184)	Loss 2.4544 (2.7501)	Prec@1 37.109 (34.773)	Prec@5 70.703 (64.396)
Epoch: [60][6690/7045]	Time 0.104 (0.249)	Data 0.001 (0.184)	Loss 2.8702 (2.7501)	Prec@1 32.812 (34.772)	Prec@5 61.719 (64.398)
Epoch: [60][6700/7045]	Time 0.109 (0.249)	Data 0.008 (0.184)	Loss 2.8849 (2.7501)	Prec@1 37.109 (34.774)	Prec@5 61.328 (64.397)
Epoch: [60][6710/7045]	Time 0.241 (0.249)	Data 0.188 (0.184)	Loss 2.7661 (2.7500)	Prec@1 31.641 (34.773)	Prec@5 62.891 (64.399)
Epoch: [60][6720/7045]	Time 0.102 (0.249)	Data 0.006 (0.184)	Loss 2.6537 (2.7500)	Prec@1 38.281 (34.776)	Prec@5 65.234 (64.399)
Epoch: [60][6730/7045]	Time 0.311 (0.249)	Data 0.260 (0.184)	Loss 2.7708 (2.7501)	Prec@1 33.984 (34.774)	Prec@5 60.156 (64.396)
Epoch: [60][6740/7045]	Time 0.098 (0.249)	Data 0.001 (0.184)	Loss 2.4916 (2.7501)	Prec@1 34.766 (34.773)	Prec@5 69.141 (64.395)
Epoch: [60][6750/7045]	Time 0.625 (0.249)	Data 0.574 (0.184)	Loss 2.7717 (2.7500)	Prec@1 34.375 (34.775)	Prec@5 61.719 (64.397)
Epoch: [60][6760/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 2.5669 (2.7500)	Prec@1 37.891 (34.776)	Prec@5 65.625 (64.397)
Epoch: [60][6770/7045]	Time 0.104 (0.249)	Data 0.011 (0.184)	Loss 2.4743 (2.7497)	Prec@1 41.406 (34.779)	Prec@5 71.875 (64.402)
Epoch: [60][6780/7045]	Time 0.271 (0.249)	Data 0.221 (0.184)	Loss 2.8211 (2.7497)	Prec@1 33.594 (34.780)	Prec@5 64.062 (64.404)
Epoch: [60][6790/7045]	Time 0.095 (0.249)	Data 0.001 (0.184)	Loss 2.7208 (2.7496)	Prec@1 35.938 (34.780)	Prec@5 65.625 (64.405)
Epoch: [60][6800/7045]	Time 0.840 (0.249)	Data 0.787 (0.184)	Loss 2.5326 (2.7494)	Prec@1 35.156 (34.782)	Prec@5 66.797 (64.407)
Epoch: [60][6810/7045]	Time 0.103 (0.249)	Data 0.051 (0.184)	Loss 2.8774 (2.7495)	Prec@1 32.031 (34.778)	Prec@5 61.719 (64.405)
Epoch: [60][6820/7045]	Time 0.594 (0.249)	Data 0.543 (0.184)	Loss 2.7019 (2.7495)	Prec@1 36.328 (34.779)	Prec@5 66.797 (64.407)
Epoch: [60][6830/7045]	Time 0.178 (0.249)	Data 0.127 (0.184)	Loss 2.9722 (2.7495)	Prec@1 28.125 (34.780)	Prec@5 58.203 (64.407)
Epoch: [60][6840/7045]	Time 0.340 (0.249)	Data 0.289 (0.184)	Loss 2.7918 (2.7494)	Prec@1 36.328 (34.783)	Prec@5 63.281 (64.408)
Epoch: [60][6850/7045]	Time 0.104 (0.249)	Data 0.005 (0.184)	Loss 2.7327 (2.7494)	Prec@1 35.938 (34.784)	Prec@5 67.188 (64.410)
Epoch: [60][6860/7045]	Time 0.101 (0.249)	Data 0.007 (0.184)	Loss 2.5920 (2.7493)	Prec@1 39.844 (34.785)	Prec@5 68.750 (64.412)
Epoch: [60][6870/7045]	Time 0.281 (0.249)	Data 0.230 (0.184)	Loss 2.7775 (2.7492)	Prec@1 34.766 (34.786)	Prec@5 65.625 (64.413)
Epoch: [60][6880/7045]	Time 0.103 (0.249)	Data 0.001 (0.184)	Loss 2.7171 (2.7491)	Prec@1 33.594 (34.787)	Prec@5 66.797 (64.415)
Epoch: [60][6890/7045]	Time 0.564 (0.249)	Data 0.507 (0.184)	Loss 2.7527 (2.7491)	Prec@1 32.031 (34.787)	Prec@5 61.719 (64.416)
Epoch: [60][6900/7045]	Time 0.100 (0.249)	Data 0.046 (0.184)	Loss 2.7563 (2.7492)	Prec@1 32.422 (34.786)	Prec@5 63.281 (64.414)
Epoch: [60][6910/7045]	Time 0.178 (0.249)	Data 0.126 (0.184)	Loss 2.7719 (2.7491)	Prec@1 32.422 (34.788)	Prec@5 63.281 (64.417)
Epoch: [60][6920/7045]	Time 0.101 (0.249)	Data 0.005 (0.184)	Loss 2.6749 (2.7491)	Prec@1 34.375 (34.788)	Prec@5 64.844 (64.417)
Epoch: [60][6930/7045]	Time 0.115 (0.249)	Data 0.063 (0.184)	Loss 2.5277 (2.7490)	Prec@1 37.891 (34.787)	Prec@5 66.797 (64.418)
Epoch: [60][6940/7045]	Time 0.462 (0.249)	Data 0.412 (0.184)	Loss 2.7011 (2.7491)	Prec@1 37.891 (34.786)	Prec@5 63.281 (64.417)
Epoch: [60][6950/7045]	Time 0.102 (0.249)	Data 0.050 (0.184)	Loss 2.4288 (2.7491)	Prec@1 38.281 (34.785)	Prec@5 69.531 (64.417)
Epoch: [60][6960/7045]	Time 0.571 (0.249)	Data 0.519 (0.184)	Loss 2.7122 (2.7490)	Prec@1 35.547 (34.785)	Prec@5 66.016 (64.419)
Epoch: [60][6970/7045]	Time 0.102 (0.249)	Data 0.049 (0.184)	Loss 2.8694 (2.7489)	Prec@1 32.031 (34.787)	Prec@5 62.500 (64.420)
Epoch: [60][6980/7045]	Time 0.285 (0.249)	Data 0.234 (0.184)	Loss 2.8922 (2.7488)	Prec@1 30.469 (34.788)	Prec@5 60.547 (64.422)
Epoch: [60][6990/7045]	Time 0.102 (0.249)	Data 0.011 (0.184)	Loss 2.7247 (2.7487)	Prec@1 37.109 (34.791)	Prec@5 62.891 (64.425)
Epoch: [60][7000/7045]	Time 0.254 (0.249)	Data 0.203 (0.184)	Loss 2.6298 (2.7486)	Prec@1 35.547 (34.792)	Prec@5 65.625 (64.426)
Epoch: [60][7010/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 2.7608 (2.7486)	Prec@1 34.375 (34.792)	Prec@5 65.234 (64.427)
Epoch: [60][7020/7045]	Time 0.336 (0.249)	Data 0.284 (0.184)	Loss 2.8497 (2.7485)	Prec@1 34.766 (34.793)	Prec@5 62.500 (64.427)
Epoch: [60][7030/7045]	Time 0.615 (0.249)	Data 0.563 (0.184)	Loss 2.8932 (2.7486)	Prec@1 30.078 (34.791)	Prec@5 58.984 (64.426)
Epoch: [60][7040/7045]	Time 0.201 (0.249)	Data 0.151 (0.184)	Loss 2.6360 (2.7485)	Prec@1 38.672 (34.794)	Prec@5 67.578 (64.427)
Test: [0/143]	Time 1.274 (1.274)	Loss 2.4547 (2.4547)	Prec@1 41.797 (41.797)	Prec@5 72.656 (72.656)
Test: [10/143]	Time 0.049 (0.260)	Loss 1.8002 (2.1926)	Prec@1 58.984 (46.271)	Prec@5 80.469 (76.065)
Test: [20/143]	Time 0.562 (0.230)	Loss 2.2584 (2.1528)	Prec@1 43.750 (45.387)	Prec@5 73.828 (76.953)
Test: [30/143]	Time 0.272 (0.217)	Loss 2.3011 (2.1665)	Prec@1 47.656 (45.703)	Prec@5 68.750 (76.058)
Test: [40/143]	Time 0.049 (0.205)	Loss 2.7789 (2.1970)	Prec@1 25.391 (44.722)	Prec@5 67.969 (75.457)
Test: [50/143]	Time 0.513 (0.206)	Loss 2.0305 (2.2481)	Prec@1 42.188 (43.076)	Prec@5 82.422 (74.839)
Test: [60/143]	Time 0.283 (0.199)	Loss 2.4560 (2.2358)	Prec@1 35.547 (43.391)	Prec@5 72.266 (75.051)
Test: [70/143]	Time 0.071 (0.194)	Loss 3.0381 (2.2201)	Prec@1 25.000 (43.761)	Prec@5 57.031 (75.330)
Test: [80/143]	Time 0.234 (0.194)	Loss 2.2297 (2.2100)	Prec@1 41.406 (44.025)	Prec@5 76.953 (75.598)
Test: [90/143]	Time 0.143 (0.191)	Loss 1.9026 (2.2018)	Prec@1 53.516 (44.149)	Prec@5 83.984 (75.786)
Test: [100/143]	Time 0.224 (0.191)	Loss 1.8984 (2.2012)	Prec@1 55.078 (44.117)	Prec@5 85.156 (75.886)
Test: [110/143]	Time 0.374 (0.190)	Loss 2.0060 (2.1965)	Prec@1 49.219 (44.433)	Prec@5 78.125 (75.943)
Test: [120/143]	Time 0.278 (0.189)	Loss 1.7635 (2.1840)	Prec@1 56.250 (44.770)	Prec@5 83.984 (76.140)
Test: [130/143]	Time 0.155 (0.188)	Loss 1.6475 (2.1903)	Prec@1 62.891 (44.794)	Prec@5 80.469 (75.898)
Test: [140/143]	Time 0.272 (0.188)	Loss 3.3127 (2.2151)	Prec@1 16.797 (44.213)	Prec@5 57.031 (75.429)
 * Prec@1 44.230 Prec@5 75.436
Epoch: [61][0/7045]	Time 2.359 (2.359)	Data 2.293 (2.293)	Loss 2.7816 (2.7816)	Prec@1 36.328 (36.328)	Prec@5 62.109 (62.109)
Epoch: [61][10/7045]	Time 0.110 (0.435)	Data 0.059 (0.358)	Loss 2.6954 (2.6771)	Prec@1 36.719 (36.683)	Prec@5 66.797 (65.909)
Epoch: [61][20/7045]	Time 0.587 (0.368)	Data 0.538 (0.297)	Loss 2.6176 (2.6802)	Prec@1 35.156 (35.770)	Prec@5 66.016 (65.867)
Epoch: [61][30/7045]	Time 0.099 (0.335)	Data 0.001 (0.262)	Loss 2.7448 (2.6996)	Prec@1 32.812 (35.496)	Prec@5 64.062 (65.638)
Epoch: [61][40/7045]	Time 0.105 (0.315)	Data 0.053 (0.246)	Loss 3.0442 (2.7073)	Prec@1 28.906 (35.328)	Prec@5 58.594 (65.339)
Epoch: [61][50/7045]	Time 0.558 (0.309)	Data 0.508 (0.239)	Loss 2.6400 (2.7037)	Prec@1 33.984 (35.263)	Prec@5 64.844 (65.334)
Epoch: [61][60/7045]	Time 0.851 (0.307)	Data 0.793 (0.239)	Loss 2.7102 (2.7063)	Prec@1 36.328 (35.163)	Prec@5 65.234 (65.343)
Epoch: [61][70/7045]	Time 0.262 (0.295)	Data 0.210 (0.228)	Loss 2.8663 (2.7061)	Prec@1 34.766 (35.151)	Prec@5 62.500 (65.212)
Epoch: [61][80/7045]	Time 0.101 (0.291)	Data 0.008 (0.225)	Loss 2.8167 (2.7096)	Prec@1 30.859 (35.306)	Prec@5 65.625 (65.205)
Epoch: [61][90/7045]	Time 0.829 (0.292)	Data 0.779 (0.225)	Loss 2.9705 (2.7118)	Prec@1 30.469 (35.225)	Prec@5 55.469 (65.140)
Epoch: [61][100/7045]	Time 0.100 (0.283)	Data 0.015 (0.216)	Loss 2.6523 (2.7053)	Prec@1 34.766 (35.377)	Prec@5 65.234 (65.269)
Epoch: [61][110/7045]	Time 0.312 (0.281)	Data 0.259 (0.215)	Loss 2.6219 (2.7105)	Prec@1 34.766 (35.230)	Prec@5 64.844 (65.210)
Epoch: [61][120/7045]	Time 0.691 (0.281)	Data 0.640 (0.216)	Loss 2.8287 (2.7065)	Prec@1 35.156 (35.337)	Prec@5 62.109 (65.260)
Epoch: [61][130/7045]	Time 0.103 (0.279)	Data 0.001 (0.214)	Loss 2.7183 (2.7068)	Prec@1 36.719 (35.320)	Prec@5 64.844 (65.222)
Epoch: [61][140/7045]	Time 0.101 (0.278)	Data 0.001 (0.212)	Loss 2.5986 (2.7073)	Prec@1 41.406 (35.361)	Prec@5 67.188 (65.221)
Epoch: [61][150/7045]	Time 0.199 (0.276)	Data 0.149 (0.210)	Loss 2.5872 (2.7074)	Prec@1 37.500 (35.433)	Prec@5 66.016 (65.252)
Epoch: [61][160/7045]	Time 0.406 (0.277)	Data 0.355 (0.210)	Loss 2.6146 (2.7039)	Prec@1 38.281 (35.537)	Prec@5 65.625 (65.334)
Epoch: [61][170/7045]	Time 0.561 (0.277)	Data 0.509 (0.210)	Loss 2.5969 (2.7071)	Prec@1 37.109 (35.540)	Prec@5 66.797 (65.285)
Epoch: [61][180/7045]	Time 0.101 (0.275)	Data 0.005 (0.207)	Loss 2.6392 (2.7096)	Prec@1 34.375 (35.493)	Prec@5 66.016 (65.217)
Epoch: [61][190/7045]	Time 0.103 (0.275)	Data 0.051 (0.208)	Loss 2.7680 (2.7099)	Prec@1 30.859 (35.459)	Prec@5 66.016 (65.214)
Epoch: [61][200/7045]	Time 0.441 (0.275)	Data 0.389 (0.208)	Loss 2.7769 (2.7083)	Prec@1 32.422 (35.514)	Prec@5 63.672 (65.267)
Epoch: [61][210/7045]	Time 0.597 (0.275)	Data 0.546 (0.208)	Loss 2.6777 (2.7103)	Prec@1 40.234 (35.471)	Prec@5 66.406 (65.260)
Epoch: [61][220/7045]	Time 0.103 (0.274)	Data 0.001 (0.206)	Loss 2.5941 (2.7101)	Prec@1 39.844 (35.497)	Prec@5 69.531 (65.259)
Epoch: [61][230/7045]	Time 0.102 (0.274)	Data 0.001 (0.206)	Loss 2.6137 (2.7067)	Prec@1 39.062 (35.581)	Prec@5 68.750 (65.319)
Epoch: [61][240/7045]	Time 0.405 (0.273)	Data 0.354 (0.205)	Loss 2.7674 (2.7076)	Prec@1 33.984 (35.540)	Prec@5 62.500 (65.336)
Epoch: [61][250/7045]	Time 0.722 (0.273)	Data 0.662 (0.205)	Loss 2.7229 (2.7083)	Prec@1 35.547 (35.513)	Prec@5 62.500 (65.269)
Epoch: [61][260/7045]	Time 0.101 (0.272)	Data 0.001 (0.204)	Loss 2.7780 (2.7081)	Prec@1 34.375 (35.490)	Prec@5 63.672 (65.293)
Epoch: [61][270/7045]	Time 0.220 (0.271)	Data 0.169 (0.203)	Loss 2.6281 (2.7060)	Prec@1 34.766 (35.535)	Prec@5 64.453 (65.317)
Epoch: [61][280/7045]	Time 0.433 (0.272)	Data 0.383 (0.203)	Loss 2.8637 (2.7053)	Prec@1 37.109 (35.548)	Prec@5 66.016 (65.336)
Epoch: [61][290/7045]	Time 0.411 (0.271)	Data 0.361 (0.202)	Loss 2.7794 (2.7057)	Prec@1 37.891 (35.525)	Prec@5 64.844 (65.348)
Epoch: [61][300/7045]	Time 0.101 (0.271)	Data 0.001 (0.201)	Loss 2.7903 (2.7057)	Prec@1 32.031 (35.495)	Prec@5 63.672 (65.336)
Epoch: [61][310/7045]	Time 0.359 (0.271)	Data 0.308 (0.202)	Loss 2.8003 (2.7054)	Prec@1 35.156 (35.505)	Prec@5 63.672 (65.321)
Epoch: [61][320/7045]	Time 0.240 (0.270)	Data 0.189 (0.201)	Loss 2.8772 (2.7086)	Prec@1 35.156 (35.464)	Prec@5 62.891 (65.242)
Epoch: [61][330/7045]	Time 0.102 (0.269)	Data 0.001 (0.200)	Loss 2.4686 (2.7075)	Prec@1 37.500 (35.510)	Prec@5 68.359 (65.263)
Epoch: [61][340/7045]	Time 0.102 (0.269)	Data 0.005 (0.199)	Loss 2.6357 (2.7079)	Prec@1 37.891 (35.532)	Prec@5 64.453 (65.249)
Epoch: [61][350/7045]	Time 0.106 (0.270)	Data 0.001 (0.200)	Loss 2.7630 (2.7081)	Prec@1 39.453 (35.531)	Prec@5 65.625 (65.252)
Epoch: [61][360/7045]	Time 0.197 (0.269)	Data 0.145 (0.198)	Loss 2.7536 (2.7083)	Prec@1 34.766 (35.541)	Prec@5 62.109 (65.248)
Epoch: [61][370/7045]	Time 0.186 (0.268)	Data 0.135 (0.199)	Loss 2.4149 (2.7081)	Prec@1 43.359 (35.528)	Prec@5 69.531 (65.239)
Epoch: [61][380/7045]	Time 0.186 (0.269)	Data 0.128 (0.199)	Loss 2.8883 (2.7101)	Prec@1 32.812 (35.493)	Prec@5 59.766 (65.167)
Epoch: [61][390/7045]	Time 0.296 (0.268)	Data 0.245 (0.199)	Loss 2.7647 (2.7112)	Prec@1 31.641 (35.479)	Prec@5 64.062 (65.113)
Epoch: [61][400/7045]	Time 0.102 (0.268)	Data 0.001 (0.198)	Loss 2.7965 (2.7113)	Prec@1 32.422 (35.479)	Prec@5 61.719 (65.083)
Epoch: [61][410/7045]	Time 0.102 (0.268)	Data 0.049 (0.198)	Loss 2.8104 (2.7119)	Prec@1 32.422 (35.487)	Prec@5 63.672 (65.079)
Epoch: [61][420/7045]	Time 0.109 (0.268)	Data 0.001 (0.199)	Loss 2.6452 (2.7135)	Prec@1 39.453 (35.470)	Prec@5 69.141 (65.056)
Epoch: [61][430/7045]	Time 0.104 (0.267)	Data 0.051 (0.197)	Loss 2.8131 (2.7135)	Prec@1 33.203 (35.446)	Prec@5 64.453 (65.040)
Epoch: [61][440/7045]	Time 0.102 (0.267)	Data 0.050 (0.197)	Loss 2.6939 (2.7135)	Prec@1 38.281 (35.427)	Prec@5 67.578 (65.041)
Epoch: [61][450/7045]	Time 0.258 (0.267)	Data 0.201 (0.198)	Loss 2.6797 (2.7124)	Prec@1 36.328 (35.473)	Prec@5 66.406 (65.079)
Epoch: [61][460/7045]	Time 0.302 (0.267)	Data 0.252 (0.197)	Loss 2.7669 (2.7134)	Prec@1 34.766 (35.456)	Prec@5 62.500 (65.040)
Epoch: [61][470/7045]	Time 0.102 (0.266)	Data 0.001 (0.197)	Loss 2.8606 (2.7124)	Prec@1 32.422 (35.457)	Prec@5 62.109 (65.083)
Epoch: [61][480/7045]	Time 0.259 (0.267)	Data 0.209 (0.198)	Loss 2.8350 (2.7118)	Prec@1 33.984 (35.488)	Prec@5 62.109 (65.084)
Epoch: [61][490/7045]	Time 0.191 (0.267)	Data 0.139 (0.197)	Loss 2.6879 (2.7112)	Prec@1 33.984 (35.506)	Prec@5 65.625 (65.090)
Epoch: [61][500/7045]	Time 0.102 (0.266)	Data 0.005 (0.197)	Loss 2.8809 (2.7123)	Prec@1 35.547 (35.495)	Prec@5 64.062 (65.068)
Epoch: [61][510/7045]	Time 0.349 (0.266)	Data 0.298 (0.197)	Loss 2.4810 (2.7116)	Prec@1 40.625 (35.488)	Prec@5 71.484 (65.088)
Epoch: [61][520/7045]	Time 0.134 (0.266)	Data 0.083 (0.197)	Loss 2.7592 (2.7122)	Prec@1 29.297 (35.446)	Prec@5 64.844 (65.092)
Epoch: [61][530/7045]	Time 0.504 (0.267)	Data 0.453 (0.198)	Loss 2.7451 (2.7117)	Prec@1 36.719 (35.454)	Prec@5 62.891 (65.121)
Epoch: [61][540/7045]	Time 0.101 (0.266)	Data 0.047 (0.197)	Loss 2.7212 (2.7105)	Prec@1 34.375 (35.462)	Prec@5 65.234 (65.138)
Epoch: [61][550/7045]	Time 0.444 (0.266)	Data 0.392 (0.198)	Loss 2.7237 (2.7102)	Prec@1 34.375 (35.470)	Prec@5 65.625 (65.148)
Epoch: [61][560/7045]	Time 0.193 (0.266)	Data 0.143 (0.197)	Loss 2.6234 (2.7098)	Prec@1 38.281 (35.486)	Prec@5 67.969 (65.162)
Epoch: [61][570/7045]	Time 0.418 (0.266)	Data 0.367 (0.198)	Loss 2.7712 (2.7095)	Prec@1 33.594 (35.473)	Prec@5 63.281 (65.158)
Epoch: [61][580/7045]	Time 0.199 (0.266)	Data 0.148 (0.198)	Loss 3.0179 (2.7107)	Prec@1 29.688 (35.444)	Prec@5 58.203 (65.133)
Epoch: [61][590/7045]	Time 0.235 (0.266)	Data 0.183 (0.198)	Loss 2.5938 (2.7101)	Prec@1 36.719 (35.437)	Prec@5 68.359 (65.142)
Epoch: [61][600/7045]	Time 0.339 (0.266)	Data 0.288 (0.198)	Loss 2.6518 (2.7107)	Prec@1 35.938 (35.428)	Prec@5 66.016 (65.122)
Epoch: [61][610/7045]	Time 0.373 (0.266)	Data 0.321 (0.198)	Loss 2.7391 (2.7105)	Prec@1 36.719 (35.448)	Prec@5 63.672 (65.144)
Epoch: [61][620/7045]	Time 0.244 (0.266)	Data 0.193 (0.198)	Loss 2.7119 (2.7097)	Prec@1 38.672 (35.462)	Prec@5 66.016 (65.177)
Epoch: [61][630/7045]	Time 0.176 (0.266)	Data 0.125 (0.198)	Loss 2.8688 (2.7101)	Prec@1 36.328 (35.460)	Prec@5 63.672 (65.178)
Epoch: [61][640/7045]	Time 0.105 (0.266)	Data 0.001 (0.198)	Loss 2.4612 (2.7089)	Prec@1 39.844 (35.475)	Prec@5 71.484 (65.187)
Epoch: [61][650/7045]	Time 0.142 (0.266)	Data 0.090 (0.198)	Loss 2.6066 (2.7079)	Prec@1 38.281 (35.495)	Prec@5 67.188 (65.207)
Epoch: [61][660/7045]	Time 0.112 (0.266)	Data 0.061 (0.197)	Loss 2.7906 (2.7083)	Prec@1 33.203 (35.490)	Prec@5 65.234 (65.204)
Epoch: [61][670/7045]	Time 0.491 (0.266)	Data 0.431 (0.198)	Loss 2.7198 (2.7075)	Prec@1 32.422 (35.507)	Prec@5 66.016 (65.214)
Epoch: [61][680/7045]	Time 0.101 (0.266)	Data 0.001 (0.198)	Loss 2.7178 (2.7069)	Prec@1 40.625 (35.522)	Prec@5 64.844 (65.213)
Epoch: [61][690/7045]	Time 0.399 (0.266)	Data 0.347 (0.197)	Loss 2.5776 (2.7081)	Prec@1 35.938 (35.480)	Prec@5 67.578 (65.196)
Epoch: [61][700/7045]	Time 0.576 (0.266)	Data 0.525 (0.198)	Loss 2.7410 (2.7076)	Prec@1 37.500 (35.501)	Prec@5 64.844 (65.209)
Epoch: [61][710/7045]	Time 0.306 (0.266)	Data 0.255 (0.197)	Loss 2.9767 (2.7079)	Prec@1 30.859 (35.500)	Prec@5 59.766 (65.190)
Epoch: [61][720/7045]	Time 0.410 (0.265)	Data 0.354 (0.197)	Loss 2.6541 (2.7076)	Prec@1 36.328 (35.493)	Prec@5 66.797 (65.188)
Epoch: [61][730/7045]	Time 0.719 (0.266)	Data 0.658 (0.197)	Loss 2.8351 (2.7070)	Prec@1 34.766 (35.522)	Prec@5 62.109 (65.186)
Epoch: [61][740/7045]	Time 0.111 (0.265)	Data 0.001 (0.197)	Loss 2.5717 (2.7065)	Prec@1 39.453 (35.542)	Prec@5 67.188 (65.188)
Epoch: [61][750/7045]	Time 0.301 (0.265)	Data 0.242 (0.197)	Loss 2.7445 (2.7055)	Prec@1 33.594 (35.545)	Prec@5 64.453 (65.220)
Epoch: [61][760/7045]	Time 0.665 (0.265)	Data 0.614 (0.197)	Loss 2.8061 (2.7051)	Prec@1 33.594 (35.551)	Prec@5 65.234 (65.234)
Epoch: [61][770/7045]	Time 0.132 (0.265)	Data 0.082 (0.197)	Loss 2.4841 (2.7045)	Prec@1 39.062 (35.548)	Prec@5 68.750 (65.244)
Epoch: [61][780/7045]	Time 0.176 (0.265)	Data 0.125 (0.197)	Loss 2.6304 (2.7047)	Prec@1 36.328 (35.543)	Prec@5 69.531 (65.248)
Epoch: [61][790/7045]	Time 0.513 (0.265)	Data 0.462 (0.197)	Loss 2.5657 (2.7046)	Prec@1 33.594 (35.539)	Prec@5 70.703 (65.246)
Epoch: [61][800/7045]	Time 0.370 (0.265)	Data 0.319 (0.196)	Loss 2.6313 (2.7037)	Prec@1 39.844 (35.565)	Prec@5 67.969 (65.261)
Epoch: [61][810/7045]	Time 0.110 (0.265)	Data 0.031 (0.196)	Loss 2.7098 (2.7042)	Prec@1 35.547 (35.548)	Prec@5 64.844 (65.261)
Epoch: [61][820/7045]	Time 0.480 (0.265)	Data 0.426 (0.196)	Loss 2.9176 (2.7040)	Prec@1 32.422 (35.547)	Prec@5 61.328 (65.257)
Epoch: [61][830/7045]	Time 0.580 (0.265)	Data 0.529 (0.197)	Loss 2.7526 (2.7036)	Prec@1 32.422 (35.546)	Prec@5 64.062 (65.256)
Epoch: [61][840/7045]	Time 0.357 (0.264)	Data 0.306 (0.197)	Loss 2.7711 (2.7037)	Prec@1 35.938 (35.545)	Prec@5 61.719 (65.259)
Epoch: [61][850/7045]	Time 0.105 (0.264)	Data 0.052 (0.196)	Loss 2.7773 (2.7038)	Prec@1 31.250 (35.549)	Prec@5 66.016 (65.257)
Epoch: [61][860/7045]	Time 0.532 (0.264)	Data 0.473 (0.197)	Loss 2.7712 (2.7034)	Prec@1 36.328 (35.557)	Prec@5 62.500 (65.265)
Epoch: [61][870/7045]	Time 0.102 (0.264)	Data 0.001 (0.196)	Loss 2.7425 (2.7033)	Prec@1 31.250 (35.554)	Prec@5 62.891 (65.268)
Epoch: [61][880/7045]	Time 0.102 (0.264)	Data 0.001 (0.196)	Loss 2.5715 (2.7028)	Prec@1 37.109 (35.562)	Prec@5 70.312 (65.281)
Epoch: [61][890/7045]	Time 0.588 (0.264)	Data 0.537 (0.196)	Loss 2.8458 (2.7027)	Prec@1 33.984 (35.555)	Prec@5 62.109 (65.279)
Epoch: [61][900/7045]	Time 0.192 (0.264)	Data 0.141 (0.196)	Loss 2.8193 (2.7031)	Prec@1 32.422 (35.544)	Prec@5 62.500 (65.274)
Epoch: [61][910/7045]	Time 0.169 (0.264)	Data 0.117 (0.196)	Loss 2.7285 (2.7031)	Prec@1 35.938 (35.552)	Prec@5 64.062 (65.269)
Epoch: [61][920/7045]	Time 0.577 (0.264)	Data 0.526 (0.196)	Loss 2.6412 (2.7031)	Prec@1 37.109 (35.547)	Prec@5 69.531 (65.272)
Epoch: [61][930/7045]	Time 0.101 (0.264)	Data 0.048 (0.196)	Loss 2.4974 (2.7024)	Prec@1 37.891 (35.567)	Prec@5 66.406 (65.285)
Epoch: [61][940/7045]	Time 0.140 (0.264)	Data 0.089 (0.196)	Loss 2.9204 (2.7028)	Prec@1 28.516 (35.555)	Prec@5 62.891 (65.275)
Epoch: [61][950/7045]	Time 0.498 (0.264)	Data 0.448 (0.196)	Loss 2.6852 (2.7024)	Prec@1 35.156 (35.557)	Prec@5 68.750 (65.285)
Epoch: [61][960/7045]	Time 0.289 (0.263)	Data 0.237 (0.196)	Loss 2.9299 (2.7025)	Prec@1 30.078 (35.554)	Prec@5 60.938 (65.286)
Epoch: [61][970/7045]	Time 0.100 (0.263)	Data 0.001 (0.196)	Loss 2.7197 (2.7025)	Prec@1 37.109 (35.558)	Prec@5 64.062 (65.284)
Epoch: [61][980/7045]	Time 0.295 (0.263)	Data 0.243 (0.196)	Loss 2.7468 (2.7022)	Prec@1 33.594 (35.572)	Prec@5 65.234 (65.302)
Epoch: [61][990/7045]	Time 0.457 (0.263)	Data 0.404 (0.196)	Loss 2.6697 (2.7022)	Prec@1 35.156 (35.575)	Prec@5 63.281 (65.297)
Epoch: [61][1000/7045]	Time 0.200 (0.263)	Data 0.149 (0.196)	Loss 2.7445 (2.7022)	Prec@1 35.547 (35.564)	Prec@5 65.625 (65.290)
Epoch: [61][1010/7045]	Time 0.464 (0.263)	Data 0.413 (0.196)	Loss 2.6540 (2.7021)	Prec@1 38.281 (35.560)	Prec@5 65.625 (65.297)
Epoch: [61][1020/7045]	Time 0.358 (0.263)	Data 0.299 (0.196)	Loss 2.8596 (2.7031)	Prec@1 36.719 (35.548)	Prec@5 59.375 (65.279)
Epoch: [61][1030/7045]	Time 0.102 (0.263)	Data 0.001 (0.196)	Loss 2.7444 (2.7036)	Prec@1 33.984 (35.538)	Prec@5 66.797 (65.276)
Epoch: [61][1040/7045]	Time 0.423 (0.263)	Data 0.372 (0.196)	Loss 2.6591 (2.7034)	Prec@1 35.547 (35.540)	Prec@5 65.625 (65.275)
Epoch: [61][1050/7045]	Time 0.138 (0.263)	Data 0.086 (0.196)	Loss 2.9454 (2.7038)	Prec@1 34.375 (35.538)	Prec@5 63.281 (65.264)
Epoch: [61][1060/7045]	Time 0.108 (0.263)	Data 0.057 (0.196)	Loss 2.8457 (2.7041)	Prec@1 30.859 (35.523)	Prec@5 63.672 (65.259)
Epoch: [61][1070/7045]	Time 0.244 (0.262)	Data 0.194 (0.196)	Loss 2.5185 (2.7036)	Prec@1 41.016 (35.542)	Prec@5 67.188 (65.269)
Epoch: [61][1080/7045]	Time 0.248 (0.263)	Data 0.191 (0.196)	Loss 2.6264 (2.7033)	Prec@1 35.938 (35.548)	Prec@5 64.844 (65.280)
Epoch: [61][1090/7045]	Time 0.398 (0.263)	Data 0.347 (0.196)	Loss 2.8662 (2.7036)	Prec@1 30.859 (35.535)	Prec@5 63.672 (65.274)
Epoch: [61][1100/7045]	Time 0.104 (0.262)	Data 0.052 (0.196)	Loss 2.6681 (2.7032)	Prec@1 38.672 (35.547)	Prec@5 67.578 (65.288)
Epoch: [61][1110/7045]	Time 0.136 (0.262)	Data 0.084 (0.196)	Loss 2.6595 (2.7036)	Prec@1 30.859 (35.546)	Prec@5 67.969 (65.283)
Epoch: [61][1120/7045]	Time 0.487 (0.262)	Data 0.428 (0.196)	Loss 2.7252 (2.7036)	Prec@1 38.672 (35.555)	Prec@5 66.797 (65.277)
Epoch: [61][1130/7045]	Time 0.288 (0.262)	Data 0.237 (0.196)	Loss 2.9156 (2.7038)	Prec@1 32.031 (35.554)	Prec@5 63.281 (65.276)
Epoch: [61][1140/7045]	Time 0.667 (0.262)	Data 0.616 (0.196)	Loss 2.7782 (2.7038)	Prec@1 35.156 (35.556)	Prec@5 62.109 (65.277)
Epoch: [61][1150/7045]	Time 0.103 (0.262)	Data 0.003 (0.195)	Loss 2.3884 (2.7035)	Prec@1 38.672 (35.551)	Prec@5 73.828 (65.294)
Epoch: [61][1160/7045]	Time 0.142 (0.262)	Data 0.092 (0.195)	Loss 2.7438 (2.7036)	Prec@1 35.547 (35.553)	Prec@5 65.625 (65.299)
Epoch: [61][1170/7045]	Time 0.699 (0.262)	Data 0.648 (0.196)	Loss 2.7231 (2.7036)	Prec@1 33.203 (35.547)	Prec@5 62.109 (65.304)
Epoch: [61][1180/7045]	Time 0.102 (0.262)	Data 0.001 (0.195)	Loss 2.6565 (2.7040)	Prec@1 37.109 (35.536)	Prec@5 66.016 (65.297)
Epoch: [61][1190/7045]	Time 0.326 (0.261)	Data 0.276 (0.195)	Loss 2.6479 (2.7039)	Prec@1 36.328 (35.539)	Prec@5 69.531 (65.311)
Epoch: [61][1200/7045]	Time 0.599 (0.262)	Data 0.549 (0.195)	Loss 2.7365 (2.7038)	Prec@1 37.891 (35.541)	Prec@5 69.141 (65.315)
Epoch: [61][1210/7045]	Time 0.264 (0.261)	Data 0.206 (0.195)	Loss 2.7374 (2.7045)	Prec@1 36.719 (35.524)	Prec@5 67.188 (65.298)
Epoch: [61][1220/7045]	Time 0.412 (0.261)	Data 0.361 (0.195)	Loss 2.7300 (2.7045)	Prec@1 32.422 (35.519)	Prec@5 66.016 (65.299)
Epoch: [61][1230/7045]	Time 0.553 (0.261)	Data 0.502 (0.195)	Loss 2.8716 (2.7051)	Prec@1 27.734 (35.502)	Prec@5 59.766 (65.293)
Epoch: [61][1240/7045]	Time 0.101 (0.261)	Data 0.001 (0.195)	Loss 2.8037 (2.7045)	Prec@1 32.422 (35.515)	Prec@5 61.328 (65.310)
Epoch: [61][1250/7045]	Time 0.308 (0.261)	Data 0.258 (0.195)	Loss 2.7508 (2.7047)	Prec@1 35.156 (35.511)	Prec@5 62.500 (65.310)
Epoch: [61][1260/7045]	Time 0.711 (0.261)	Data 0.660 (0.195)	Loss 2.8285 (2.7049)	Prec@1 31.641 (35.508)	Prec@5 65.234 (65.315)
Epoch: [61][1270/7045]	Time 0.102 (0.261)	Data 0.001 (0.195)	Loss 2.7828 (2.7051)	Prec@1 39.062 (35.505)	Prec@5 62.500 (65.310)
Epoch: [61][1280/7045]	Time 0.388 (0.261)	Data 0.333 (0.195)	Loss 2.5241 (2.7048)	Prec@1 40.234 (35.517)	Prec@5 69.922 (65.317)
Epoch: [61][1290/7045]	Time 0.638 (0.261)	Data 0.587 (0.195)	Loss 2.6994 (2.7048)	Prec@1 31.250 (35.510)	Prec@5 64.453 (65.322)
Epoch: [61][1300/7045]	Time 0.103 (0.261)	Data 0.002 (0.194)	Loss 2.7028 (2.7051)	Prec@1 39.453 (35.509)	Prec@5 65.625 (65.314)
Epoch: [61][1310/7045]	Time 0.302 (0.261)	Data 0.251 (0.195)	Loss 2.7319 (2.7057)	Prec@1 32.812 (35.495)	Prec@5 63.672 (65.304)
Epoch: [61][1320/7045]	Time 0.162 (0.261)	Data 0.111 (0.194)	Loss 2.5601 (2.7059)	Prec@1 39.062 (35.490)	Prec@5 68.750 (65.301)
Epoch: [61][1330/7045]	Time 0.105 (0.261)	Data 0.053 (0.194)	Loss 2.6286 (2.7056)	Prec@1 37.109 (35.501)	Prec@5 65.625 (65.300)
Epoch: [61][1340/7045]	Time 0.109 (0.261)	Data 0.055 (0.194)	Loss 2.6055 (2.7052)	Prec@1 39.453 (35.513)	Prec@5 71.875 (65.308)
Epoch: [61][1350/7045]	Time 0.102 (0.261)	Data 0.001 (0.194)	Loss 2.5747 (2.7051)	Prec@1 40.625 (35.516)	Prec@5 67.578 (65.312)
Epoch: [61][1360/7045]	Time 0.249 (0.261)	Data 0.198 (0.194)	Loss 2.7416 (2.7051)	Prec@1 32.422 (35.513)	Prec@5 66.016 (65.317)
Epoch: [61][1370/7045]	Time 0.305 (0.261)	Data 0.243 (0.194)	Loss 2.6516 (2.7047)	Prec@1 35.547 (35.512)	Prec@5 64.062 (65.323)
Epoch: [61][1380/7045]	Time 0.104 (0.261)	Data 0.052 (0.194)	Loss 2.3553 (2.7044)	Prec@1 38.281 (35.521)	Prec@5 71.094 (65.327)
Epoch: [61][1390/7045]	Time 0.283 (0.261)	Data 0.231 (0.194)	Loss 2.6865 (2.7043)	Prec@1 34.766 (35.522)	Prec@5 65.625 (65.324)
Epoch: [61][1400/7045]	Time 0.431 (0.261)	Data 0.372 (0.194)	Loss 2.5964 (2.7049)	Prec@1 36.328 (35.513)	Prec@5 67.969 (65.320)
Epoch: [61][1410/7045]	Time 0.102 (0.261)	Data 0.001 (0.194)	Loss 2.7734 (2.7048)	Prec@1 34.375 (35.520)	Prec@5 65.234 (65.320)
Epoch: [61][1420/7045]	Time 0.239 (0.260)	Data 0.189 (0.194)	Loss 2.8537 (2.7049)	Prec@1 35.156 (35.519)	Prec@5 62.891 (65.316)
Epoch: [61][1430/7045]	Time 0.527 (0.261)	Data 0.464 (0.194)	Loss 2.7489 (2.7048)	Prec@1 34.375 (35.530)	Prec@5 62.891 (65.319)
Epoch: [61][1440/7045]	Time 0.095 (0.260)	Data 0.001 (0.194)	Loss 2.6406 (2.7046)	Prec@1 39.062 (35.542)	Prec@5 67.969 (65.328)
Epoch: [61][1450/7045]	Time 0.370 (0.260)	Data 0.311 (0.194)	Loss 2.7157 (2.7046)	Prec@1 37.500 (35.545)	Prec@5 64.844 (65.335)
Epoch: [61][1460/7045]	Time 0.437 (0.260)	Data 0.386 (0.194)	Loss 2.7383 (2.7037)	Prec@1 34.766 (35.565)	Prec@5 65.234 (65.353)
Epoch: [61][1470/7045]	Time 0.115 (0.260)	Data 0.063 (0.194)	Loss 2.4822 (2.7036)	Prec@1 37.500 (35.571)	Prec@5 72.266 (65.354)
Epoch: [61][1480/7045]	Time 0.498 (0.260)	Data 0.447 (0.194)	Loss 2.8385 (2.7039)	Prec@1 29.688 (35.565)	Prec@5 60.547 (65.353)
Epoch: [61][1490/7045]	Time 0.291 (0.260)	Data 0.241 (0.194)	Loss 2.9106 (2.7040)	Prec@1 28.906 (35.553)	Prec@5 63.281 (65.346)
Epoch: [61][1500/7045]	Time 0.102 (0.260)	Data 0.001 (0.194)	Loss 2.7831 (2.7041)	Prec@1 33.594 (35.549)	Prec@5 65.234 (65.342)
Epoch: [61][1510/7045]	Time 0.544 (0.260)	Data 0.494 (0.194)	Loss 2.7946 (2.7040)	Prec@1 34.375 (35.558)	Prec@5 60.938 (65.346)
Epoch: [61][1520/7045]	Time 0.510 (0.260)	Data 0.452 (0.194)	Loss 2.5564 (2.7037)	Prec@1 36.719 (35.558)	Prec@5 67.188 (65.347)
Epoch: [61][1530/7045]	Time 0.098 (0.260)	Data 0.001 (0.194)	Loss 2.5635 (2.7032)	Prec@1 35.938 (35.569)	Prec@5 68.750 (65.350)
Epoch: [61][1540/7045]	Time 0.558 (0.260)	Data 0.507 (0.194)	Loss 2.6909 (2.7032)	Prec@1 33.984 (35.566)	Prec@5 65.234 (65.350)
Epoch: [61][1550/7045]	Time 0.582 (0.260)	Data 0.531 (0.194)	Loss 2.8333 (2.7037)	Prec@1 29.688 (35.556)	Prec@5 61.719 (65.335)
Epoch: [61][1560/7045]	Time 0.102 (0.260)	Data 0.001 (0.193)	Loss 2.8131 (2.7039)	Prec@1 31.250 (35.556)	Prec@5 62.891 (65.334)
Epoch: [61][1570/7045]	Time 0.427 (0.260)	Data 0.376 (0.193)	Loss 2.7485 (2.7037)	Prec@1 32.422 (35.550)	Prec@5 64.062 (65.339)
Epoch: [61][1580/7045]	Time 0.599 (0.260)	Data 0.548 (0.194)	Loss 2.6841 (2.7035)	Prec@1 31.641 (35.550)	Prec@5 63.281 (65.340)
Epoch: [61][1590/7045]	Time 0.130 (0.260)	Data 0.077 (0.193)	Loss 2.4376 (2.7033)	Prec@1 44.922 (35.554)	Prec@5 67.969 (65.341)
Epoch: [61][1600/7045]	Time 0.438 (0.260)	Data 0.387 (0.193)	Loss 2.5876 (2.7031)	Prec@1 35.938 (35.556)	Prec@5 67.188 (65.346)
Epoch: [61][1610/7045]	Time 0.251 (0.260)	Data 0.200 (0.193)	Loss 2.7146 (2.7032)	Prec@1 31.641 (35.554)	Prec@5 66.797 (65.348)
Epoch: [61][1620/7045]	Time 0.146 (0.260)	Data 0.095 (0.193)	Loss 2.6326 (2.7030)	Prec@1 34.766 (35.552)	Prec@5 66.797 (65.351)
Epoch: [61][1630/7045]	Time 0.385 (0.260)	Data 0.334 (0.193)	Loss 2.7545 (2.7033)	Prec@1 32.812 (35.552)	Prec@5 64.062 (65.343)
Epoch: [61][1640/7045]	Time 0.101 (0.260)	Data 0.001 (0.193)	Loss 2.3182 (2.7036)	Prec@1 42.969 (35.544)	Prec@5 73.047 (65.334)
Epoch: [61][1650/7045]	Time 0.257 (0.260)	Data 0.205 (0.193)	Loss 2.7323 (2.7035)	Prec@1 32.031 (35.550)	Prec@5 60.547 (65.337)
Epoch: [61][1660/7045]	Time 0.201 (0.260)	Data 0.150 (0.193)	Loss 2.8307 (2.7034)	Prec@1 33.594 (35.547)	Prec@5 61.328 (65.334)
Epoch: [61][1670/7045]	Time 0.102 (0.259)	Data 0.009 (0.193)	Loss 2.7311 (2.7033)	Prec@1 36.328 (35.545)	Prec@5 68.750 (65.337)
Epoch: [61][1680/7045]	Time 0.196 (0.260)	Data 0.145 (0.193)	Loss 2.9934 (2.7037)	Prec@1 29.688 (35.544)	Prec@5 61.328 (65.332)
Epoch: [61][1690/7045]	Time 0.461 (0.260)	Data 0.402 (0.193)	Loss 2.7036 (2.7037)	Prec@1 35.156 (35.548)	Prec@5 66.797 (65.331)
Epoch: [61][1700/7045]	Time 0.179 (0.259)	Data 0.128 (0.193)	Loss 2.7616 (2.7033)	Prec@1 33.203 (35.562)	Prec@5 63.672 (65.336)
Epoch: [61][1710/7045]	Time 0.102 (0.260)	Data 0.001 (0.193)	Loss 2.5968 (2.7032)	Prec@1 35.938 (35.563)	Prec@5 65.625 (65.340)
Epoch: [61][1720/7045]	Time 0.333 (0.260)	Data 0.275 (0.193)	Loss 2.4476 (2.7033)	Prec@1 41.797 (35.567)	Prec@5 71.094 (65.338)
Epoch: [61][1730/7045]	Time 0.102 (0.260)	Data 0.001 (0.193)	Loss 2.6232 (2.7031)	Prec@1 37.500 (35.572)	Prec@5 68.359 (65.341)
Epoch: [61][1740/7045]	Time 0.522 (0.260)	Data 0.471 (0.193)	Loss 2.7956 (2.7038)	Prec@1 31.641 (35.561)	Prec@5 62.500 (65.323)
Epoch: [61][1750/7045]	Time 0.206 (0.260)	Data 0.156 (0.193)	Loss 2.9365 (2.7042)	Prec@1 33.203 (35.553)	Prec@5 60.547 (65.314)
Epoch: [61][1760/7045]	Time 0.171 (0.260)	Data 0.120 (0.193)	Loss 2.6272 (2.7045)	Prec@1 36.328 (35.552)	Prec@5 66.406 (65.307)
Epoch: [61][1770/7045]	Time 0.130 (0.260)	Data 0.079 (0.193)	Loss 2.5416 (2.7043)	Prec@1 34.766 (35.554)	Prec@5 68.359 (65.304)
Epoch: [61][1780/7045]	Time 0.184 (0.260)	Data 0.134 (0.193)	Loss 2.7314 (2.7048)	Prec@1 33.203 (35.544)	Prec@5 64.844 (65.289)
Epoch: [61][1790/7045]	Time 0.102 (0.260)	Data 0.021 (0.194)	Loss 2.6029 (2.7052)	Prec@1 35.547 (35.531)	Prec@5 68.359 (65.281)
Epoch: [61][1800/7045]	Time 0.102 (0.259)	Data 0.007 (0.193)	Loss 2.5627 (2.7047)	Prec@1 40.234 (35.543)	Prec@5 69.141 (65.289)
Epoch: [61][1810/7045]	Time 0.320 (0.260)	Data 0.269 (0.193)	Loss 2.7270 (2.7043)	Prec@1 34.766 (35.547)	Prec@5 64.062 (65.298)
Epoch: [61][1820/7045]	Time 0.373 (0.260)	Data 0.321 (0.194)	Loss 2.7839 (2.7044)	Prec@1 31.641 (35.543)	Prec@5 65.234 (65.293)
Epoch: [61][1830/7045]	Time 0.334 (0.259)	Data 0.284 (0.193)	Loss 2.7920 (2.7046)	Prec@1 39.844 (35.541)	Prec@5 63.672 (65.291)
Epoch: [61][1840/7045]	Time 0.102 (0.259)	Data 0.006 (0.193)	Loss 2.5679 (2.7048)	Prec@1 37.891 (35.538)	Prec@5 68.359 (65.285)
Epoch: [61][1850/7045]	Time 0.108 (0.259)	Data 0.001 (0.193)	Loss 2.8552 (2.7050)	Prec@1 34.375 (35.539)	Prec@5 61.328 (65.279)
Epoch: [61][1860/7045]	Time 0.101 (0.259)	Data 0.001 (0.193)	Loss 2.5364 (2.7051)	Prec@1 42.578 (35.537)	Prec@5 70.312 (65.274)
Epoch: [61][1870/7045]	Time 0.224 (0.259)	Data 0.172 (0.193)	Loss 2.5337 (2.7048)	Prec@1 40.234 (35.546)	Prec@5 66.406 (65.281)
Epoch: [61][1880/7045]	Time 0.188 (0.259)	Data 0.138 (0.193)	Loss 2.7543 (2.7049)	Prec@1 35.156 (35.546)	Prec@5 64.844 (65.279)
Epoch: [61][1890/7045]	Time 0.326 (0.259)	Data 0.274 (0.193)	Loss 2.6773 (2.7047)	Prec@1 29.688 (35.543)	Prec@5 66.016 (65.281)
Epoch: [61][1900/7045]	Time 0.147 (0.259)	Data 0.096 (0.193)	Loss 2.6725 (2.7043)	Prec@1 35.938 (35.549)	Prec@5 63.281 (65.285)
Epoch: [61][1910/7045]	Time 0.237 (0.259)	Data 0.186 (0.193)	Loss 2.6218 (2.7045)	Prec@1 37.891 (35.548)	Prec@5 62.891 (65.280)
Epoch: [61][1920/7045]	Time 0.102 (0.259)	Data 0.008 (0.193)	Loss 2.8059 (2.7048)	Prec@1 31.250 (35.537)	Prec@5 64.062 (65.272)
Epoch: [61][1930/7045]	Time 0.258 (0.259)	Data 0.207 (0.193)	Loss 2.9884 (2.7052)	Prec@1 29.688 (35.534)	Prec@5 60.938 (65.267)
Epoch: [61][1940/7045]	Time 0.255 (0.259)	Data 0.204 (0.193)	Loss 2.8036 (2.7055)	Prec@1 30.078 (35.523)	Prec@5 65.625 (65.263)
Epoch: [61][1950/7045]	Time 0.101 (0.259)	Data 0.003 (0.193)	Loss 2.7818 (2.7051)	Prec@1 32.031 (35.520)	Prec@5 60.156 (65.269)
Epoch: [61][1960/7045]	Time 0.674 (0.259)	Data 0.621 (0.193)	Loss 2.9087 (2.7051)	Prec@1 30.859 (35.524)	Prec@5 64.453 (65.270)
Epoch: [61][1970/7045]	Time 0.227 (0.259)	Data 0.176 (0.193)	Loss 2.7234 (2.7051)	Prec@1 33.984 (35.523)	Prec@5 64.844 (65.268)
Epoch: [61][1980/7045]	Time 0.461 (0.259)	Data 0.409 (0.193)	Loss 2.7327 (2.7050)	Prec@1 35.156 (35.522)	Prec@5 63.672 (65.271)
Epoch: [61][1990/7045]	Time 0.308 (0.259)	Data 0.258 (0.193)	Loss 2.7270 (2.7049)	Prec@1 38.281 (35.526)	Prec@5 64.062 (65.271)
Epoch: [61][2000/7045]	Time 0.104 (0.259)	Data 0.053 (0.193)	Loss 2.5477 (2.7048)	Prec@1 36.328 (35.530)	Prec@5 70.703 (65.278)
Epoch: [61][2010/7045]	Time 0.190 (0.259)	Data 0.139 (0.193)	Loss 2.7287 (2.7047)	Prec@1 35.547 (35.529)	Prec@5 62.500 (65.275)
Epoch: [61][2020/7045]	Time 0.628 (0.259)	Data 0.576 (0.193)	Loss 2.8551 (2.7050)	Prec@1 29.688 (35.522)	Prec@5 63.281 (65.266)
Epoch: [61][2030/7045]	Time 0.106 (0.259)	Data 0.053 (0.193)	Loss 2.9937 (2.7053)	Prec@1 33.594 (35.513)	Prec@5 58.984 (65.263)
Epoch: [61][2040/7045]	Time 0.699 (0.259)	Data 0.647 (0.193)	Loss 2.7963 (2.7050)	Prec@1 32.422 (35.517)	Prec@5 64.062 (65.271)
Epoch: [61][2050/7045]	Time 0.110 (0.259)	Data 0.009 (0.193)	Loss 2.7196 (2.7053)	Prec@1 36.328 (35.514)	Prec@5 67.969 (65.267)
Epoch: [61][2060/7045]	Time 0.667 (0.259)	Data 0.616 (0.193)	Loss 2.6389 (2.7051)	Prec@1 37.109 (35.512)	Prec@5 63.281 (65.265)
Epoch: [61][2070/7045]	Time 0.103 (0.259)	Data 0.010 (0.193)	Loss 2.5956 (2.7051)	Prec@1 39.453 (35.512)	Prec@5 66.406 (65.266)
Epoch: [61][2080/7045]	Time 0.102 (0.259)	Data 0.001 (0.193)	Loss 2.5652 (2.7048)	Prec@1 37.500 (35.517)	Prec@5 66.797 (65.266)
Epoch: [61][2090/7045]	Time 0.433 (0.259)	Data 0.381 (0.193)	Loss 2.4190 (2.7046)	Prec@1 41.797 (35.522)	Prec@5 71.094 (65.270)
Epoch: [61][2100/7045]	Time 0.219 (0.259)	Data 0.167 (0.193)	Loss 2.5154 (2.7043)	Prec@1 41.016 (35.531)	Prec@5 71.094 (65.276)
Epoch: [61][2110/7045]	Time 0.333 (0.259)	Data 0.280 (0.193)	Loss 2.9043 (2.7042)	Prec@1 32.031 (35.539)	Prec@5 64.844 (65.282)
Epoch: [61][2120/7045]	Time 0.457 (0.259)	Data 0.406 (0.193)	Loss 2.6719 (2.7045)	Prec@1 38.281 (35.539)	Prec@5 65.234 (65.271)
Epoch: [61][2130/7045]	Time 0.103 (0.259)	Data 0.001 (0.193)	Loss 2.6223 (2.7046)	Prec@1 34.375 (35.540)	Prec@5 68.750 (65.272)
Epoch: [61][2140/7045]	Time 0.576 (0.259)	Data 0.518 (0.193)	Loss 3.1225 (2.7050)	Prec@1 30.078 (35.534)	Prec@5 57.422 (65.265)
Epoch: [61][2150/7045]	Time 0.376 (0.259)	Data 0.317 (0.193)	Loss 2.5810 (2.7052)	Prec@1 37.891 (35.530)	Prec@5 67.969 (65.267)
Epoch: [61][2160/7045]	Time 0.102 (0.259)	Data 0.046 (0.193)	Loss 2.9682 (2.7054)	Prec@1 30.078 (35.525)	Prec@5 58.594 (65.264)
Epoch: [61][2170/7045]	Time 0.499 (0.259)	Data 0.440 (0.193)	Loss 2.7550 (2.7049)	Prec@1 37.109 (35.535)	Prec@5 62.891 (65.273)
Epoch: [61][2180/7045]	Time 0.396 (0.259)	Data 0.345 (0.193)	Loss 2.8717 (2.7047)	Prec@1 28.906 (35.535)	Prec@5 62.109 (65.279)
Epoch: [61][2190/7045]	Time 0.129 (0.259)	Data 0.068 (0.193)	Loss 2.6550 (2.7045)	Prec@1 35.156 (35.535)	Prec@5 67.969 (65.281)
Epoch: [61][2200/7045]	Time 0.650 (0.259)	Data 0.598 (0.193)	Loss 2.9098 (2.7044)	Prec@1 28.516 (35.532)	Prec@5 58.203 (65.286)
Epoch: [61][2210/7045]	Time 0.104 (0.259)	Data 0.052 (0.193)	Loss 2.8383 (2.7045)	Prec@1 32.422 (35.530)	Prec@5 62.891 (65.285)
Epoch: [61][2220/7045]	Time 0.527 (0.259)	Data 0.468 (0.193)	Loss 2.8290 (2.7044)	Prec@1 29.688 (35.529)	Prec@5 62.109 (65.286)
Epoch: [61][2230/7045]	Time 0.260 (0.259)	Data 0.208 (0.193)	Loss 2.8135 (2.7043)	Prec@1 35.547 (35.528)	Prec@5 63.281 (65.285)
Epoch: [61][2240/7045]	Time 0.471 (0.259)	Data 0.420 (0.193)	Loss 2.4186 (2.7041)	Prec@1 41.406 (35.536)	Prec@5 71.094 (65.291)
Epoch: [61][2250/7045]	Time 0.322 (0.259)	Data 0.269 (0.193)	Loss 2.6595 (2.7039)	Prec@1 38.672 (35.536)	Prec@5 67.969 (65.297)
Epoch: [61][2260/7045]	Time 0.101 (0.258)	Data 0.004 (0.193)	Loss 2.5032 (2.7038)	Prec@1 39.453 (35.537)	Prec@5 67.969 (65.298)
Epoch: [61][2270/7045]	Time 0.424 (0.259)	Data 0.366 (0.193)	Loss 2.7505 (2.7038)	Prec@1 35.156 (35.539)	Prec@5 64.062 (65.300)
Epoch: [61][2280/7045]	Time 0.147 (0.258)	Data 0.096 (0.193)	Loss 2.6965 (2.7035)	Prec@1 36.719 (35.546)	Prec@5 68.750 (65.308)
Epoch: [61][2290/7045]	Time 0.516 (0.259)	Data 0.465 (0.193)	Loss 2.7362 (2.7035)	Prec@1 35.547 (35.551)	Prec@5 65.234 (65.311)
Epoch: [61][2300/7045]	Time 0.411 (0.259)	Data 0.352 (0.193)	Loss 2.7507 (2.7035)	Prec@1 31.641 (35.550)	Prec@5 66.016 (65.314)
Epoch: [61][2310/7045]	Time 0.142 (0.258)	Data 0.090 (0.193)	Loss 2.5972 (2.7035)	Prec@1 37.500 (35.555)	Prec@5 70.703 (65.312)
Epoch: [61][2320/7045]	Time 0.372 (0.258)	Data 0.320 (0.193)	Loss 2.7513 (2.7035)	Prec@1 34.375 (35.550)	Prec@5 64.844 (65.313)
Epoch: [61][2330/7045]	Time 0.212 (0.258)	Data 0.162 (0.193)	Loss 2.8832 (2.7035)	Prec@1 33.984 (35.552)	Prec@5 58.984 (65.311)
Epoch: [61][2340/7045]	Time 0.102 (0.258)	Data 0.002 (0.193)	Loss 2.7029 (2.7034)	Prec@1 34.375 (35.553)	Prec@5 63.672 (65.313)
Epoch: [61][2350/7045]	Time 0.102 (0.258)	Data 0.007 (0.193)	Loss 2.5406 (2.7032)	Prec@1 37.891 (35.558)	Prec@5 68.359 (65.316)
Epoch: [61][2360/7045]	Time 0.334 (0.258)	Data 0.282 (0.193)	Loss 2.6610 (2.7034)	Prec@1 33.594 (35.554)	Prec@5 65.234 (65.308)
Epoch: [61][2370/7045]	Time 0.305 (0.258)	Data 0.255 (0.193)	Loss 2.6961 (2.7034)	Prec@1 36.328 (35.551)	Prec@5 69.141 (65.310)
Epoch: [61][2380/7045]	Time 0.102 (0.258)	Data 0.001 (0.193)	Loss 2.6931 (2.7033)	Prec@1 37.109 (35.551)	Prec@5 65.625 (65.313)
Epoch: [61][2390/7045]	Time 0.133 (0.258)	Data 0.082 (0.193)	Loss 2.6387 (2.7033)	Prec@1 32.812 (35.550)	Prec@5 65.625 (65.314)
Epoch: [61][2400/7045]	Time 0.280 (0.258)	Data 0.228 (0.193)	Loss 2.9096 (2.7033)	Prec@1 29.297 (35.540)	Prec@5 62.891 (65.313)
Epoch: [61][2410/7045]	Time 0.102 (0.258)	Data 0.044 (0.193)	Loss 2.8879 (2.7033)	Prec@1 33.984 (35.541)	Prec@5 60.547 (65.317)
Epoch: [61][2420/7045]	Time 0.265 (0.258)	Data 0.216 (0.193)	Loss 2.7014 (2.7033)	Prec@1 35.547 (35.542)	Prec@5 62.891 (65.313)
Epoch: [61][2430/7045]	Time 0.102 (0.258)	Data 0.001 (0.193)	Loss 2.4755 (2.7033)	Prec@1 40.234 (35.544)	Prec@5 69.141 (65.312)
Epoch: [61][2440/7045]	Time 0.223 (0.258)	Data 0.173 (0.193)	Loss 2.7449 (2.7034)	Prec@1 35.156 (35.545)	Prec@5 62.891 (65.304)
Epoch: [61][2450/7045]	Time 0.214 (0.258)	Data 0.162 (0.193)	Loss 3.0501 (2.7035)	Prec@1 33.594 (35.542)	Prec@5 60.547 (65.312)
Epoch: [61][2460/7045]	Time 0.507 (0.258)	Data 0.456 (0.193)	Loss 2.8656 (2.7038)	Prec@1 30.859 (35.535)	Prec@5 62.891 (65.306)
Epoch: [61][2470/7045]	Time 0.401 (0.258)	Data 0.351 (0.193)	Loss 2.7488 (2.7040)	Prec@1 36.719 (35.532)	Prec@5 65.625 (65.305)
Epoch: [61][2480/7045]	Time 0.408 (0.258)	Data 0.356 (0.193)	Loss 2.7729 (2.7041)	Prec@1 38.281 (35.530)	Prec@5 65.234 (65.305)
Epoch: [61][2490/7045]	Time 0.135 (0.258)	Data 0.084 (0.193)	Loss 2.7541 (2.7041)	Prec@1 37.109 (35.532)	Prec@5 61.719 (65.301)
Epoch: [61][2500/7045]	Time 0.190 (0.258)	Data 0.129 (0.193)	Loss 2.7399 (2.7039)	Prec@1 36.719 (35.537)	Prec@5 64.062 (65.306)
Epoch: [61][2510/7045]	Time 0.144 (0.258)	Data 0.091 (0.193)	Loss 2.7994 (2.7038)	Prec@1 32.031 (35.540)	Prec@5 61.719 (65.307)
Epoch: [61][2520/7045]	Time 0.124 (0.258)	Data 0.072 (0.193)	Loss 2.6573 (2.7039)	Prec@1 37.891 (35.538)	Prec@5 64.844 (65.300)
Epoch: [61][2530/7045]	Time 0.102 (0.258)	Data 0.001 (0.193)	Loss 2.7676 (2.7039)	Prec@1 33.203 (35.545)	Prec@5 66.406 (65.303)
Epoch: [61][2540/7045]	Time 0.152 (0.258)	Data 0.102 (0.193)	Loss 2.8887 (2.7038)	Prec@1 32.422 (35.545)	Prec@5 65.625 (65.305)
Epoch: [61][2550/7045]	Time 0.533 (0.258)	Data 0.482 (0.193)	Loss 2.2983 (2.7037)	Prec@1 42.969 (35.548)	Prec@5 72.656 (65.304)
Epoch: [61][2560/7045]	Time 0.107 (0.258)	Data 0.054 (0.193)	Loss 2.6630 (2.7038)	Prec@1 35.547 (35.546)	Prec@5 66.797 (65.305)
Epoch: [61][2570/7045]	Time 0.648 (0.258)	Data 0.597 (0.193)	Loss 2.6577 (2.7037)	Prec@1 36.719 (35.547)	Prec@5 67.188 (65.305)
Epoch: [61][2580/7045]	Time 0.163 (0.258)	Data 0.112 (0.193)	Loss 2.7412 (2.7036)	Prec@1 37.109 (35.547)	Prec@5 62.891 (65.305)
Epoch: [61][2590/7045]	Time 0.392 (0.258)	Data 0.341 (0.193)	Loss 2.9478 (2.7039)	Prec@1 36.328 (35.544)	Prec@5 61.328 (65.300)
Epoch: [61][2600/7045]	Time 0.101 (0.258)	Data 0.001 (0.193)	Loss 2.9213 (2.7039)	Prec@1 31.641 (35.546)	Prec@5 60.938 (65.302)
Epoch: [61][2610/7045]	Time 0.197 (0.258)	Data 0.145 (0.193)	Loss 2.9099 (2.7040)	Prec@1 32.031 (35.543)	Prec@5 62.109 (65.299)
Epoch: [61][2620/7045]	Time 0.107 (0.258)	Data 0.054 (0.193)	Loss 2.7676 (2.7041)	Prec@1 35.547 (35.541)	Prec@5 65.625 (65.297)
Epoch: [61][2630/7045]	Time 0.108 (0.258)	Data 0.056 (0.193)	Loss 2.6352 (2.7040)	Prec@1 34.375 (35.547)	Prec@5 66.406 (65.300)
Epoch: [61][2640/7045]	Time 0.108 (0.258)	Data 0.007 (0.193)	Loss 2.6820 (2.7040)	Prec@1 37.891 (35.546)	Prec@5 65.234 (65.299)
Epoch: [61][2650/7045]	Time 0.106 (0.258)	Data 0.054 (0.193)	Loss 2.7717 (2.7040)	Prec@1 34.375 (35.544)	Prec@5 60.938 (65.300)
Epoch: [61][2660/7045]	Time 0.107 (0.258)	Data 0.015 (0.193)	Loss 2.9025 (2.7039)	Prec@1 31.641 (35.543)	Prec@5 57.812 (65.304)
Epoch: [61][2670/7045]	Time 0.186 (0.258)	Data 0.133 (0.193)	Loss 2.6621 (2.7039)	Prec@1 39.062 (35.540)	Prec@5 66.406 (65.304)
Epoch: [61][2680/7045]	Time 0.245 (0.258)	Data 0.193 (0.193)	Loss 2.7408 (2.7039)	Prec@1 34.375 (35.542)	Prec@5 65.625 (65.306)
Epoch: [61][2690/7045]	Time 0.153 (0.258)	Data 0.101 (0.193)	Loss 2.8557 (2.7038)	Prec@1 31.641 (35.537)	Prec@5 66.797 (65.307)
Epoch: [61][2700/7045]	Time 0.379 (0.258)	Data 0.328 (0.193)	Loss 2.8395 (2.7038)	Prec@1 34.766 (35.538)	Prec@5 60.547 (65.308)
Epoch: [61][2710/7045]	Time 0.109 (0.258)	Data 0.007 (0.193)	Loss 2.7381 (2.7035)	Prec@1 39.453 (35.545)	Prec@5 65.625 (65.314)
Epoch: [61][2720/7045]	Time 0.402 (0.258)	Data 0.351 (0.193)	Loss 2.8922 (2.7036)	Prec@1 32.031 (35.545)	Prec@5 60.547 (65.311)
Epoch: [61][2730/7045]	Time 0.126 (0.258)	Data 0.074 (0.193)	Loss 2.7900 (2.7036)	Prec@1 33.203 (35.548)	Prec@5 64.844 (65.315)
Epoch: [61][2740/7045]	Time 0.102 (0.258)	Data 0.005 (0.193)	Loss 2.7701 (2.7036)	Prec@1 32.812 (35.550)	Prec@5 64.062 (65.317)
Epoch: [61][2750/7045]	Time 0.375 (0.258)	Data 0.324 (0.193)	Loss 2.7535 (2.7035)	Prec@1 31.250 (35.547)	Prec@5 64.062 (65.315)
Epoch: [61][2760/7045]	Time 0.169 (0.258)	Data 0.118 (0.193)	Loss 2.4574 (2.7036)	Prec@1 37.891 (35.544)	Prec@5 71.484 (65.312)
Epoch: [61][2770/7045]	Time 0.357 (0.258)	Data 0.307 (0.193)	Loss 2.7681 (2.7039)	Prec@1 33.594 (35.542)	Prec@5 64.062 (65.305)
Epoch: [61][2780/7045]	Time 0.118 (0.257)	Data 0.067 (0.193)	Loss 2.4967 (2.7039)	Prec@1 40.625 (35.543)	Prec@5 71.484 (65.307)
Epoch: [61][2790/7045]	Time 0.129 (0.257)	Data 0.078 (0.193)	Loss 2.7861 (2.7038)	Prec@1 32.422 (35.544)	Prec@5 61.328 (65.311)
Epoch: [61][2800/7045]	Time 0.101 (0.257)	Data 0.001 (0.193)	Loss 2.7140 (2.7038)	Prec@1 37.500 (35.546)	Prec@5 64.844 (65.311)
Epoch: [61][2810/7045]	Time 0.103 (0.257)	Data 0.001 (0.193)	Loss 2.6584 (2.7041)	Prec@1 32.422 (35.541)	Prec@5 65.625 (65.305)
Epoch: [61][2820/7045]	Time 0.386 (0.257)	Data 0.336 (0.193)	Loss 2.7209 (2.7042)	Prec@1 36.328 (35.542)	Prec@5 65.234 (65.305)
Epoch: [61][2830/7045]	Time 0.100 (0.257)	Data 0.001 (0.193)	Loss 2.6102 (2.7041)	Prec@1 37.891 (35.547)	Prec@5 65.234 (65.304)
Epoch: [61][2840/7045]	Time 0.162 (0.257)	Data 0.111 (0.193)	Loss 2.6907 (2.7041)	Prec@1 38.281 (35.546)	Prec@5 64.844 (65.300)
Epoch: [61][2850/7045]	Time 0.103 (0.257)	Data 0.001 (0.192)	Loss 2.5875 (2.7042)	Prec@1 37.891 (35.544)	Prec@5 67.969 (65.296)
Epoch: [61][2860/7045]	Time 0.103 (0.257)	Data 0.003 (0.192)	Loss 2.6498 (2.7039)	Prec@1 35.156 (35.551)	Prec@5 67.578 (65.301)
Epoch: [61][2870/7045]	Time 0.545 (0.257)	Data 0.495 (0.193)	Loss 2.3594 (2.7038)	Prec@1 38.672 (35.553)	Prec@5 73.047 (65.301)
Epoch: [61][2880/7045]	Time 0.103 (0.257)	Data 0.001 (0.192)	Loss 2.5716 (2.7038)	Prec@1 34.766 (35.551)	Prec@5 70.312 (65.300)
Epoch: [61][2890/7045]	Time 0.213 (0.257)	Data 0.161 (0.192)	Loss 2.6331 (2.7039)	Prec@1 34.766 (35.553)	Prec@5 63.672 (65.295)
Epoch: [61][2900/7045]	Time 0.377 (0.257)	Data 0.326 (0.192)	Loss 2.8390 (2.7040)	Prec@1 34.375 (35.551)	Prec@5 61.328 (65.292)
Epoch: [61][2910/7045]	Time 0.103 (0.257)	Data 0.012 (0.192)	Loss 2.6055 (2.7040)	Prec@1 39.062 (35.554)	Prec@5 68.359 (65.292)
Epoch: [61][2920/7045]	Time 0.552 (0.257)	Data 0.502 (0.193)	Loss 2.5893 (2.7039)	Prec@1 38.281 (35.557)	Prec@5 69.141 (65.293)
Epoch: [61][2930/7045]	Time 0.230 (0.257)	Data 0.178 (0.192)	Loss 2.6236 (2.7041)	Prec@1 34.766 (35.551)	Prec@5 66.797 (65.289)
Epoch: [61][2940/7045]	Time 0.202 (0.257)	Data 0.152 (0.192)	Loss 2.5497 (2.7041)	Prec@1 38.281 (35.549)	Prec@5 69.922 (65.291)
Epoch: [61][2950/7045]	Time 0.415 (0.257)	Data 0.363 (0.193)	Loss 2.4593 (2.7042)	Prec@1 41.797 (35.544)	Prec@5 68.750 (65.287)
Epoch: [61][2960/7045]	Time 0.104 (0.257)	Data 0.001 (0.192)	Loss 2.9988 (2.7044)	Prec@1 31.641 (35.542)	Prec@5 58.203 (65.281)
Epoch: [61][2970/7045]	Time 0.407 (0.257)	Data 0.355 (0.192)	Loss 2.7166 (2.7043)	Prec@1 33.594 (35.540)	Prec@5 65.625 (65.284)
Epoch: [61][2980/7045]	Time 0.111 (0.257)	Data 0.060 (0.192)	Loss 2.5139 (2.7043)	Prec@1 41.797 (35.543)	Prec@5 69.531 (65.283)
Epoch: [61][2990/7045]	Time 0.434 (0.257)	Data 0.373 (0.192)	Loss 2.8609 (2.7041)	Prec@1 31.641 (35.545)	Prec@5 64.844 (65.285)
Epoch: [61][3000/7045]	Time 0.102 (0.257)	Data 0.028 (0.192)	Loss 2.5766 (2.7040)	Prec@1 39.453 (35.548)	Prec@5 67.188 (65.286)
Epoch: [61][3010/7045]	Time 0.600 (0.257)	Data 0.548 (0.192)	Loss 2.5228 (2.7042)	Prec@1 36.328 (35.542)	Prec@5 70.312 (65.283)
Epoch: [61][3020/7045]	Time 0.102 (0.257)	Data 0.001 (0.192)	Loss 2.6656 (2.7043)	Prec@1 35.547 (35.539)	Prec@5 59.375 (65.281)
Epoch: [61][3030/7045]	Time 0.294 (0.257)	Data 0.241 (0.192)	Loss 2.4797 (2.7044)	Prec@1 42.578 (35.538)	Prec@5 73.047 (65.278)
Epoch: [61][3040/7045]	Time 0.174 (0.257)	Data 0.123 (0.192)	Loss 2.9774 (2.7045)	Prec@1 33.984 (35.537)	Prec@5 60.547 (65.277)
Epoch: [61][3050/7045]	Time 0.102 (0.257)	Data 0.005 (0.192)	Loss 2.9321 (2.7044)	Prec@1 28.906 (35.540)	Prec@5 61.328 (65.280)
Epoch: [61][3060/7045]	Time 0.158 (0.257)	Data 0.107 (0.192)	Loss 2.7782 (2.7043)	Prec@1 31.250 (35.542)	Prec@5 67.188 (65.284)
Epoch: [61][3070/7045]	Time 0.121 (0.257)	Data 0.070 (0.192)	Loss 2.6938 (2.7043)	Prec@1 32.812 (35.540)	Prec@5 67.969 (65.285)
Epoch: [61][3080/7045]	Time 0.230 (0.257)	Data 0.180 (0.192)	Loss 2.9078 (2.7044)	Prec@1 35.547 (35.538)	Prec@5 64.453 (65.282)
Epoch: [61][3090/7045]	Time 0.401 (0.257)	Data 0.350 (0.192)	Loss 2.6308 (2.7043)	Prec@1 36.328 (35.538)	Prec@5 66.406 (65.284)
Epoch: [61][3100/7045]	Time 0.102 (0.257)	Data 0.001 (0.192)	Loss 2.7831 (2.7044)	Prec@1 30.859 (35.535)	Prec@5 65.625 (65.281)
Epoch: [61][3110/7045]	Time 0.367 (0.257)	Data 0.316 (0.192)	Loss 2.6028 (2.7042)	Prec@1 38.672 (35.538)	Prec@5 64.844 (65.285)
Epoch: [61][3120/7045]	Time 0.106 (0.257)	Data 0.053 (0.192)	Loss 2.7403 (2.7040)	Prec@1 35.547 (35.545)	Prec@5 64.062 (65.291)
Epoch: [61][3130/7045]	Time 0.275 (0.257)	Data 0.225 (0.192)	Loss 2.6743 (2.7039)	Prec@1 33.203 (35.545)	Prec@5 64.844 (65.292)
Epoch: [61][3140/7045]	Time 0.124 (0.257)	Data 0.073 (0.192)	Loss 2.7994 (2.7039)	Prec@1 35.547 (35.544)	Prec@5 62.500 (65.294)
Epoch: [61][3150/7045]	Time 0.103 (0.257)	Data 0.018 (0.192)	Loss 2.8345 (2.7040)	Prec@1 33.594 (35.539)	Prec@5 60.938 (65.289)
Epoch: [61][3160/7045]	Time 0.103 (0.257)	Data 0.001 (0.192)	Loss 2.7467 (2.7039)	Prec@1 37.109 (35.540)	Prec@5 65.234 (65.292)
Epoch: [61][3170/7045]	Time 0.566 (0.257)	Data 0.516 (0.192)	Loss 2.8169 (2.7038)	Prec@1 35.156 (35.540)	Prec@5 64.844 (65.294)
Epoch: [61][3180/7045]	Time 0.217 (0.257)	Data 0.166 (0.192)	Loss 2.6634 (2.7037)	Prec@1 33.594 (35.542)	Prec@5 68.750 (65.298)
Epoch: [61][3190/7045]	Time 0.234 (0.257)	Data 0.184 (0.192)	Loss 2.8524 (2.7036)	Prec@1 32.812 (35.545)	Prec@5 63.672 (65.298)
Epoch: [61][3200/7045]	Time 0.110 (0.257)	Data 0.001 (0.192)	Loss 2.7537 (2.7035)	Prec@1 36.328 (35.547)	Prec@5 63.672 (65.301)
Epoch: [61][3210/7045]	Time 0.329 (0.257)	Data 0.278 (0.192)	Loss 2.6903 (2.7035)	Prec@1 40.625 (35.545)	Prec@5 65.625 (65.301)
Epoch: [61][3220/7045]	Time 0.275 (0.257)	Data 0.225 (0.192)	Loss 2.9502 (2.7035)	Prec@1 28.125 (35.546)	Prec@5 62.109 (65.303)
Epoch: [61][3230/7045]	Time 0.404 (0.257)	Data 0.353 (0.192)	Loss 2.6643 (2.7035)	Prec@1 39.062 (35.545)	Prec@5 67.969 (65.301)
Epoch: [61][3240/7045]	Time 0.101 (0.257)	Data 0.050 (0.192)	Loss 2.6686 (2.7036)	Prec@1 34.766 (35.543)	Prec@5 66.016 (65.299)
Epoch: [61][3250/7045]	Time 0.161 (0.257)	Data 0.109 (0.192)	Loss 2.5744 (2.7035)	Prec@1 38.281 (35.542)	Prec@5 66.797 (65.299)
Epoch: [61][3260/7045]	Time 0.502 (0.257)	Data 0.451 (0.192)	Loss 2.8286 (2.7035)	Prec@1 28.125 (35.543)	Prec@5 64.062 (65.296)
Epoch: [61][3270/7045]	Time 0.264 (0.257)	Data 0.214 (0.192)	Loss 2.7315 (2.7034)	Prec@1 37.891 (35.547)	Prec@5 64.844 (65.298)
Epoch: [61][3280/7045]	Time 0.115 (0.257)	Data 0.056 (0.192)	Loss 2.5486 (2.7032)	Prec@1 39.844 (35.550)	Prec@5 69.922 (65.303)
Epoch: [61][3290/7045]	Time 0.231 (0.257)	Data 0.180 (0.192)	Loss 2.6958 (2.7032)	Prec@1 35.156 (35.551)	Prec@5 66.406 (65.304)
Epoch: [61][3300/7045]	Time 0.254 (0.257)	Data 0.203 (0.192)	Loss 2.5526 (2.7032)	Prec@1 36.328 (35.550)	Prec@5 69.531 (65.301)
Epoch: [61][3310/7045]	Time 0.229 (0.257)	Data 0.177 (0.192)	Loss 2.8867 (2.7032)	Prec@1 30.469 (35.550)	Prec@5 60.938 (65.306)
Epoch: [61][3320/7045]	Time 0.399 (0.257)	Data 0.340 (0.192)	Loss 2.6688 (2.7031)	Prec@1 36.328 (35.553)	Prec@5 64.453 (65.306)
Epoch: [61][3330/7045]	Time 0.103 (0.257)	Data 0.001 (0.192)	Loss 2.5657 (2.7031)	Prec@1 36.719 (35.554)	Prec@5 71.875 (65.307)
Epoch: [61][3340/7045]	Time 0.404 (0.257)	Data 0.353 (0.192)	Loss 2.8197 (2.7031)	Prec@1 33.984 (35.553)	Prec@5 62.109 (65.304)
Epoch: [61][3350/7045]	Time 0.146 (0.257)	Data 0.095 (0.192)	Loss 2.8488 (2.7033)	Prec@1 32.031 (35.551)	Prec@5 67.188 (65.301)
Epoch: [61][3360/7045]	Time 0.109 (0.257)	Data 0.058 (0.192)	Loss 2.8021 (2.7034)	Prec@1 35.547 (35.550)	Prec@5 63.281 (65.300)
Epoch: [61][3370/7045]	Time 0.382 (0.257)	Data 0.331 (0.192)	Loss 2.6282 (2.7032)	Prec@1 39.062 (35.555)	Prec@5 66.016 (65.305)
Epoch: [61][3380/7045]	Time 0.389 (0.257)	Data 0.338 (0.192)	Loss 2.7183 (2.7031)	Prec@1 34.766 (35.556)	Prec@5 67.969 (65.308)
Epoch: [61][3390/7045]	Time 0.272 (0.257)	Data 0.221 (0.192)	Loss 2.6734 (2.7031)	Prec@1 33.594 (35.554)	Prec@5 66.016 (65.309)
Epoch: [61][3400/7045]	Time 0.099 (0.257)	Data 0.001 (0.192)	Loss 2.6870 (2.7031)	Prec@1 33.594 (35.554)	Prec@5 66.016 (65.308)
Epoch: [61][3410/7045]	Time 0.109 (0.256)	Data 0.057 (0.192)	Loss 2.3498 (2.7028)	Prec@1 42.578 (35.561)	Prec@5 68.750 (65.315)
Epoch: [61][3420/7045]	Time 0.366 (0.257)	Data 0.315 (0.192)	Loss 2.8383 (2.7027)	Prec@1 33.203 (35.560)	Prec@5 62.109 (65.319)
Epoch: [61][3430/7045]	Time 0.127 (0.256)	Data 0.074 (0.192)	Loss 2.6001 (2.7028)	Prec@1 39.062 (35.556)	Prec@5 65.625 (65.316)
Epoch: [61][3440/7045]	Time 0.223 (0.256)	Data 0.171 (0.192)	Loss 2.6005 (2.7028)	Prec@1 35.938 (35.554)	Prec@5 66.797 (65.315)
Epoch: [61][3450/7045]	Time 0.379 (0.257)	Data 0.328 (0.192)	Loss 2.6939 (2.7028)	Prec@1 34.375 (35.555)	Prec@5 64.062 (65.316)
Epoch: [61][3460/7045]	Time 0.105 (0.256)	Data 0.001 (0.192)	Loss 2.8668 (2.7028)	Prec@1 33.984 (35.554)	Prec@5 67.188 (65.313)
Epoch: [61][3470/7045]	Time 0.241 (0.256)	Data 0.180 (0.192)	Loss 2.7528 (2.7029)	Prec@1 37.109 (35.555)	Prec@5 61.719 (65.311)
Epoch: [61][3480/7045]	Time 0.356 (0.256)	Data 0.304 (0.192)	Loss 2.8343 (2.7029)	Prec@1 31.250 (35.552)	Prec@5 64.453 (65.312)
Epoch: [61][3490/7045]	Time 0.178 (0.256)	Data 0.127 (0.192)	Loss 2.6641 (2.7029)	Prec@1 38.672 (35.552)	Prec@5 69.141 (65.315)
Epoch: [61][3500/7045]	Time 0.231 (0.256)	Data 0.180 (0.192)	Loss 2.7210 (2.7028)	Prec@1 36.719 (35.556)	Prec@5 60.547 (65.314)
Epoch: [61][3510/7045]	Time 0.102 (0.256)	Data 0.001 (0.192)	Loss 2.6265 (2.7026)	Prec@1 37.891 (35.558)	Prec@5 64.453 (65.319)
Epoch: [61][3520/7045]	Time 0.230 (0.256)	Data 0.172 (0.192)	Loss 2.5784 (2.7026)	Prec@1 35.156 (35.561)	Prec@5 64.453 (65.320)
Epoch: [61][3530/7045]	Time 0.381 (0.256)	Data 0.329 (0.192)	Loss 2.7935 (2.7027)	Prec@1 31.641 (35.557)	Prec@5 65.625 (65.317)
Epoch: [61][3540/7045]	Time 0.101 (0.256)	Data 0.009 (0.192)	Loss 2.7023 (2.7027)	Prec@1 35.547 (35.556)	Prec@5 67.969 (65.316)
Epoch: [61][3550/7045]	Time 0.396 (0.256)	Data 0.345 (0.192)	Loss 2.6719 (2.7025)	Prec@1 35.156 (35.558)	Prec@5 66.016 (65.318)
Epoch: [61][3560/7045]	Time 0.102 (0.256)	Data 0.001 (0.192)	Loss 2.6468 (2.7025)	Prec@1 39.844 (35.560)	Prec@5 65.625 (65.319)
Epoch: [61][3570/7045]	Time 0.149 (0.256)	Data 0.097 (0.192)	Loss 2.7767 (2.7026)	Prec@1 36.719 (35.559)	Prec@5 64.453 (65.313)
Epoch: [61][3580/7045]	Time 0.379 (0.256)	Data 0.319 (0.192)	Loss 2.3503 (2.7023)	Prec@1 42.188 (35.562)	Prec@5 70.703 (65.317)
Epoch: [61][3590/7045]	Time 0.105 (0.256)	Data 0.053 (0.192)	Loss 2.6595 (2.7023)	Prec@1 36.719 (35.566)	Prec@5 65.625 (65.319)
Epoch: [61][3600/7045]	Time 0.295 (0.256)	Data 0.239 (0.192)	Loss 2.6093 (2.7022)	Prec@1 38.672 (35.566)	Prec@5 68.359 (65.320)
Epoch: [61][3610/7045]	Time 0.243 (0.256)	Data 0.192 (0.192)	Loss 2.8526 (2.7023)	Prec@1 32.422 (35.567)	Prec@5 61.328 (65.319)
Epoch: [61][3620/7045]	Time 0.197 (0.256)	Data 0.145 (0.192)	Loss 2.5546 (2.7022)	Prec@1 40.625 (35.569)	Prec@5 68.750 (65.320)
Epoch: [61][3630/7045]	Time 0.111 (0.256)	Data 0.059 (0.192)	Loss 2.8850 (2.7022)	Prec@1 31.641 (35.568)	Prec@5 60.547 (65.320)
Epoch: [61][3640/7045]	Time 0.234 (0.256)	Data 0.184 (0.192)	Loss 2.4153 (2.7022)	Prec@1 43.359 (35.572)	Prec@5 72.266 (65.322)
Epoch: [61][3650/7045]	Time 0.103 (0.256)	Data 0.001 (0.192)	Loss 2.7652 (2.7020)	Prec@1 35.547 (35.577)	Prec@5 67.188 (65.326)
Epoch: [61][3660/7045]	Time 0.284 (0.256)	Data 0.234 (0.192)	Loss 2.6205 (2.7019)	Prec@1 37.500 (35.578)	Prec@5 66.016 (65.326)
Epoch: [61][3670/7045]	Time 0.168 (0.256)	Data 0.117 (0.192)	Loss 2.6837 (2.7019)	Prec@1 37.891 (35.579)	Prec@5 63.281 (65.323)
Epoch: [61][3680/7045]	Time 0.358 (0.256)	Data 0.305 (0.192)	Loss 2.9622 (2.7020)	Prec@1 32.422 (35.576)	Prec@5 58.984 (65.324)
Epoch: [61][3690/7045]	Time 0.343 (0.256)	Data 0.291 (0.192)	Loss 2.8827 (2.7018)	Prec@1 32.422 (35.579)	Prec@5 60.938 (65.324)
Epoch: [61][3700/7045]	Time 0.102 (0.256)	Data 0.001 (0.192)	Loss 2.6619 (2.7017)	Prec@1 33.984 (35.582)	Prec@5 65.234 (65.324)
Epoch: [61][3710/7045]	Time 0.249 (0.256)	Data 0.198 (0.192)	Loss 2.6600 (2.7015)	Prec@1 36.328 (35.584)	Prec@5 66.797 (65.330)
Epoch: [61][3720/7045]	Time 0.472 (0.256)	Data 0.422 (0.192)	Loss 2.7196 (2.7016)	Prec@1 34.375 (35.582)	Prec@5 66.797 (65.329)
Epoch: [61][3730/7045]	Time 0.126 (0.256)	Data 0.074 (0.192)	Loss 2.6046 (2.7015)	Prec@1 35.938 (35.583)	Prec@5 63.672 (65.326)
Epoch: [61][3740/7045]	Time 0.103 (0.256)	Data 0.003 (0.192)	Loss 2.6843 (2.7016)	Prec@1 36.328 (35.584)	Prec@5 68.359 (65.325)
Epoch: [61][3750/7045]	Time 0.316 (0.256)	Data 0.265 (0.192)	Loss 2.8325 (2.7015)	Prec@1 34.375 (35.586)	Prec@5 63.672 (65.325)
Epoch: [61][3760/7045]	Time 0.373 (0.256)	Data 0.322 (0.192)	Loss 2.6826 (2.7014)	Prec@1 36.328 (35.586)	Prec@5 65.625 (65.328)
Epoch: [61][3770/7045]	Time 0.102 (0.256)	Data 0.001 (0.192)	Loss 2.7777 (2.7012)	Prec@1 33.594 (35.592)	Prec@5 63.281 (65.331)
Epoch: [61][3780/7045]	Time 0.376 (0.256)	Data 0.325 (0.192)	Loss 2.7023 (2.7010)	Prec@1 33.594 (35.596)	Prec@5 65.234 (65.335)
Epoch: [61][3790/7045]	Time 0.284 (0.256)	Data 0.233 (0.192)	Loss 2.9615 (2.7010)	Prec@1 32.031 (35.598)	Prec@5 60.156 (65.339)
Epoch: [61][3800/7045]	Time 0.107 (0.256)	Data 0.056 (0.192)	Loss 2.7461 (2.7009)	Prec@1 39.062 (35.603)	Prec@5 67.969 (65.337)
Epoch: [61][3810/7045]	Time 0.338 (0.256)	Data 0.288 (0.192)	Loss 2.7939 (2.7008)	Prec@1 39.453 (35.608)	Prec@5 63.672 (65.338)
Epoch: [61][3820/7045]	Time 0.167 (0.256)	Data 0.116 (0.192)	Loss 2.7741 (2.7009)	Prec@1 32.422 (35.607)	Prec@5 64.844 (65.333)
Epoch: [61][3830/7045]	Time 0.541 (0.256)	Data 0.489 (0.192)	Loss 2.9517 (2.7009)	Prec@1 32.031 (35.608)	Prec@5 61.719 (65.335)
Epoch: [61][3840/7045]	Time 0.104 (0.256)	Data 0.051 (0.192)	Loss 2.7075 (2.7008)	Prec@1 38.281 (35.609)	Prec@5 67.578 (65.338)
Epoch: [61][3850/7045]	Time 0.133 (0.256)	Data 0.083 (0.192)	Loss 2.8239 (2.7008)	Prec@1 32.031 (35.608)	Prec@5 62.891 (65.338)
Epoch: [61][3860/7045]	Time 0.101 (0.256)	Data 0.001 (0.192)	Loss 2.8174 (2.7008)	Prec@1 36.719 (35.604)	Prec@5 65.625 (65.340)
Epoch: [61][3870/7045]	Time 0.341 (0.256)	Data 0.289 (0.192)	Loss 2.5416 (2.7009)	Prec@1 41.797 (35.604)	Prec@5 66.797 (65.337)
Epoch: [61][3880/7045]	Time 0.359 (0.256)	Data 0.307 (0.192)	Loss 3.0414 (2.7010)	Prec@1 32.031 (35.605)	Prec@5 60.547 (65.337)
Epoch: [61][3890/7045]	Time 0.102 (0.256)	Data 0.001 (0.192)	Loss 2.7891 (2.7010)	Prec@1 33.594 (35.602)	Prec@5 61.328 (65.334)
Epoch: [61][3900/7045]	Time 0.154 (0.256)	Data 0.102 (0.192)	Loss 2.8992 (2.7010)	Prec@1 30.078 (35.606)	Prec@5 63.672 (65.335)
Epoch: [61][3910/7045]	Time 0.557 (0.256)	Data 0.505 (0.192)	Loss 2.7586 (2.7009)	Prec@1 35.938 (35.605)	Prec@5 63.672 (65.336)
Epoch: [61][3920/7045]	Time 0.117 (0.256)	Data 0.066 (0.192)	Loss 2.5747 (2.7009)	Prec@1 39.062 (35.606)	Prec@5 69.531 (65.334)
Epoch: [61][3930/7045]	Time 0.648 (0.256)	Data 0.591 (0.192)	Loss 2.7131 (2.7009)	Prec@1 37.500 (35.610)	Prec@5 67.578 (65.337)
Epoch: [61][3940/7045]	Time 0.103 (0.256)	Data 0.001 (0.192)	Loss 2.8659 (2.7010)	Prec@1 30.859 (35.608)	Prec@5 60.938 (65.334)
Epoch: [61][3950/7045]	Time 0.123 (0.256)	Data 0.063 (0.192)	Loss 2.7234 (2.7010)	Prec@1 36.719 (35.606)	Prec@5 67.578 (65.332)
Epoch: [61][3960/7045]	Time 0.443 (0.256)	Data 0.392 (0.192)	Loss 2.5609 (2.7010)	Prec@1 34.375 (35.607)	Prec@5 69.922 (65.334)
Epoch: [61][3970/7045]	Time 0.109 (0.256)	Data 0.001 (0.192)	Loss 2.8672 (2.7011)	Prec@1 29.688 (35.604)	Prec@5 65.234 (65.330)
Epoch: [61][3980/7045]	Time 0.298 (0.256)	Data 0.247 (0.192)	Loss 2.3275 (2.7009)	Prec@1 42.578 (35.606)	Prec@5 74.609 (65.337)
Epoch: [61][3990/7045]	Time 0.145 (0.256)	Data 0.092 (0.192)	Loss 2.7148 (2.7009)	Prec@1 37.891 (35.607)	Prec@5 64.453 (65.337)
Epoch: [61][4000/7045]	Time 0.101 (0.256)	Data 0.006 (0.192)	Loss 2.5765 (2.7009)	Prec@1 38.281 (35.606)	Prec@5 68.750 (65.335)
Epoch: [61][4010/7045]	Time 0.346 (0.256)	Data 0.294 (0.192)	Loss 2.8220 (2.7009)	Prec@1 34.375 (35.606)	Prec@5 60.156 (65.334)
Epoch: [61][4020/7045]	Time 0.116 (0.256)	Data 0.065 (0.192)	Loss 2.8667 (2.7009)	Prec@1 32.422 (35.606)	Prec@5 60.156 (65.333)
Epoch: [61][4030/7045]	Time 0.322 (0.256)	Data 0.271 (0.192)	Loss 2.5505 (2.7008)	Prec@1 40.625 (35.609)	Prec@5 67.188 (65.333)
Epoch: [61][4040/7045]	Time 0.102 (0.256)	Data 0.001 (0.192)	Loss 2.7197 (2.7008)	Prec@1 35.547 (35.612)	Prec@5 63.672 (65.334)
Epoch: [61][4050/7045]	Time 0.317 (0.256)	Data 0.265 (0.192)	Loss 2.8367 (2.7008)	Prec@1 31.250 (35.611)	Prec@5 63.672 (65.336)
Epoch: [61][4060/7045]	Time 0.559 (0.256)	Data 0.499 (0.192)	Loss 2.7523 (2.7009)	Prec@1 35.938 (35.612)	Prec@5 62.891 (65.333)
Epoch: [61][4070/7045]	Time 0.101 (0.256)	Data 0.001 (0.192)	Loss 2.7171 (2.7009)	Prec@1 37.500 (35.610)	Prec@5 62.891 (65.335)
Epoch: [61][4080/7045]	Time 0.556 (0.256)	Data 0.500 (0.192)	Loss 2.4735 (2.7008)	Prec@1 40.234 (35.608)	Prec@5 69.141 (65.335)
Epoch: [61][4090/7045]	Time 0.167 (0.256)	Data 0.116 (0.192)	Loss 2.6641 (2.7010)	Prec@1 37.109 (35.603)	Prec@5 66.797 (65.330)
Epoch: [61][4100/7045]	Time 0.370 (0.256)	Data 0.318 (0.192)	Loss 2.8423 (2.7010)	Prec@1 33.203 (35.602)	Prec@5 62.891 (65.328)
Epoch: [61][4110/7045]	Time 0.102 (0.256)	Data 0.001 (0.192)	Loss 2.6209 (2.7010)	Prec@1 39.062 (35.600)	Prec@5 67.188 (65.326)
Epoch: [61][4120/7045]	Time 0.112 (0.256)	Data 0.060 (0.192)	Loss 2.8385 (2.7011)	Prec@1 35.156 (35.602)	Prec@5 62.500 (65.324)
Epoch: [61][4130/7045]	Time 0.325 (0.256)	Data 0.273 (0.192)	Loss 2.6361 (2.7011)	Prec@1 37.500 (35.604)	Prec@5 67.188 (65.323)
Epoch: [61][4140/7045]	Time 0.110 (0.256)	Data 0.001 (0.192)	Loss 2.8636 (2.7011)	Prec@1 37.109 (35.603)	Prec@5 62.109 (65.324)
Epoch: [61][4150/7045]	Time 0.373 (0.256)	Data 0.322 (0.192)	Loss 2.7255 (2.7012)	Prec@1 32.422 (35.600)	Prec@5 64.062 (65.319)
Epoch: [61][4160/7045]	Time 0.901 (0.256)	Data 0.850 (0.192)	Loss 2.5075 (2.7012)	Prec@1 34.766 (35.597)	Prec@5 67.188 (65.321)
Epoch: [61][4170/7045]	Time 0.104 (0.256)	Data 0.052 (0.192)	Loss 2.5856 (2.7012)	Prec@1 37.109 (35.596)	Prec@5 67.578 (65.323)
Epoch: [61][4180/7045]	Time 0.480 (0.256)	Data 0.428 (0.192)	Loss 2.8343 (2.7012)	Prec@1 34.766 (35.596)	Prec@5 63.672 (65.324)
Epoch: [61][4190/7045]	Time 0.102 (0.256)	Data 0.006 (0.192)	Loss 2.6597 (2.7012)	Prec@1 32.812 (35.596)	Prec@5 66.797 (65.327)
Epoch: [61][4200/7045]	Time 0.255 (0.256)	Data 0.203 (0.192)	Loss 2.7994 (2.7012)	Prec@1 36.328 (35.597)	Prec@5 65.234 (65.330)
Epoch: [61][4210/7045]	Time 0.108 (0.256)	Data 0.011 (0.192)	Loss 2.8495 (2.7012)	Prec@1 32.812 (35.600)	Prec@5 65.625 (65.330)
Epoch: [61][4220/7045]	Time 0.102 (0.256)	Data 0.014 (0.192)	Loss 2.8379 (2.7013)	Prec@1 31.250 (35.597)	Prec@5 62.891 (65.328)
Epoch: [61][4230/7045]	Time 0.104 (0.256)	Data 0.009 (0.192)	Loss 2.7006 (2.7014)	Prec@1 32.422 (35.594)	Prec@5 66.797 (65.324)
Epoch: [61][4240/7045]	Time 0.333 (0.256)	Data 0.282 (0.192)	Loss 2.8130 (2.7014)	Prec@1 31.641 (35.594)	Prec@5 65.234 (65.322)
Epoch: [61][4250/7045]	Time 0.340 (0.256)	Data 0.288 (0.192)	Loss 2.7123 (2.7013)	Prec@1 35.547 (35.593)	Prec@5 65.234 (65.324)
Epoch: [61][4260/7045]	Time 0.438 (0.256)	Data 0.386 (0.192)	Loss 2.8076 (2.7014)	Prec@1 34.766 (35.589)	Prec@5 64.844 (65.321)
Epoch: [61][4270/7045]	Time 0.102 (0.256)	Data 0.011 (0.192)	Loss 2.5894 (2.7013)	Prec@1 35.938 (35.589)	Prec@5 66.016 (65.324)
Epoch: [61][4280/7045]	Time 0.102 (0.256)	Data 0.001 (0.192)	Loss 2.5641 (2.7012)	Prec@1 37.500 (35.590)	Prec@5 69.922 (65.324)
Epoch: [61][4290/7045]	Time 0.448 (0.256)	Data 0.396 (0.192)	Loss 2.7338 (2.7013)	Prec@1 32.422 (35.588)	Prec@5 67.578 (65.324)
Epoch: [61][4300/7045]	Time 0.552 (0.256)	Data 0.500 (0.192)	Loss 2.5185 (2.7013)	Prec@1 39.844 (35.590)	Prec@5 68.750 (65.325)
Epoch: [61][4310/7045]	Time 0.166 (0.256)	Data 0.113 (0.192)	Loss 2.8668 (2.7013)	Prec@1 35.156 (35.587)	Prec@5 64.453 (65.323)
Epoch: [61][4320/7045]	Time 0.232 (0.256)	Data 0.180 (0.192)	Loss 2.7798 (2.7016)	Prec@1 34.375 (35.582)	Prec@5 64.453 (65.319)
Epoch: [61][4330/7045]	Time 0.271 (0.256)	Data 0.219 (0.192)	Loss 2.9308 (2.7016)	Prec@1 33.594 (35.583)	Prec@5 61.328 (65.321)
Epoch: [61][4340/7045]	Time 0.414 (0.256)	Data 0.363 (0.192)	Loss 2.4621 (2.7015)	Prec@1 37.891 (35.587)	Prec@5 70.703 (65.323)
Epoch: [61][4350/7045]	Time 0.105 (0.256)	Data 0.053 (0.192)	Loss 2.7815 (2.7014)	Prec@1 32.812 (35.588)	Prec@5 61.719 (65.324)
Epoch: [61][4360/7045]	Time 0.102 (0.256)	Data 0.008 (0.192)	Loss 2.5108 (2.7014)	Prec@1 38.672 (35.589)	Prec@5 68.359 (65.326)
Epoch: [61][4370/7045]	Time 0.246 (0.256)	Data 0.194 (0.192)	Loss 2.7652 (2.7013)	Prec@1 35.938 (35.591)	Prec@5 67.578 (65.328)
Epoch: [61][4380/7045]	Time 0.102 (0.256)	Data 0.004 (0.192)	Loss 2.7219 (2.7013)	Prec@1 36.328 (35.590)	Prec@5 62.891 (65.326)
Epoch: [61][4390/7045]	Time 0.190 (0.256)	Data 0.136 (0.192)	Loss 2.7011 (2.7013)	Prec@1 33.203 (35.590)	Prec@5 65.625 (65.324)
Epoch: [61][4400/7045]	Time 0.412 (0.256)	Data 0.360 (0.192)	Loss 2.6080 (2.7013)	Prec@1 37.891 (35.587)	Prec@5 67.969 (65.324)
Epoch: [61][4410/7045]	Time 0.102 (0.256)	Data 0.006 (0.192)	Loss 2.9332 (2.7014)	Prec@1 31.641 (35.587)	Prec@5 62.891 (65.326)
Epoch: [61][4420/7045]	Time 0.221 (0.256)	Data 0.170 (0.192)	Loss 2.7929 (2.7013)	Prec@1 36.328 (35.591)	Prec@5 64.453 (65.328)
Epoch: [61][4430/7045]	Time 0.134 (0.256)	Data 0.082 (0.192)	Loss 2.8837 (2.7014)	Prec@1 30.469 (35.591)	Prec@5 59.766 (65.325)
Epoch: [61][4440/7045]	Time 0.102 (0.256)	Data 0.001 (0.192)	Loss 2.8094 (2.7014)	Prec@1 33.203 (35.589)	Prec@5 64.453 (65.324)
Epoch: [61][4450/7045]	Time 0.313 (0.256)	Data 0.262 (0.192)	Loss 2.5485 (2.7014)	Prec@1 35.938 (35.590)	Prec@5 66.406 (65.325)
Epoch: [61][4460/7045]	Time 0.269 (0.256)	Data 0.217 (0.192)	Loss 2.6264 (2.7013)	Prec@1 36.719 (35.591)	Prec@5 69.531 (65.328)
Epoch: [61][4470/7045]	Time 0.443 (0.256)	Data 0.392 (0.192)	Loss 2.4852 (2.7012)	Prec@1 40.625 (35.595)	Prec@5 68.750 (65.330)
Epoch: [61][4480/7045]	Time 0.102 (0.256)	Data 0.009 (0.192)	Loss 2.6638 (2.7012)	Prec@1 35.547 (35.595)	Prec@5 63.672 (65.329)
Epoch: [61][4490/7045]	Time 0.101 (0.256)	Data 0.001 (0.192)	Loss 2.6652 (2.7011)	Prec@1 33.984 (35.594)	Prec@5 64.844 (65.331)
Epoch: [61][4500/7045]	Time 0.246 (0.256)	Data 0.189 (0.192)	Loss 2.9378 (2.7012)	Prec@1 29.688 (35.590)	Prec@5 64.453 (65.331)
Epoch: [61][4510/7045]	Time 0.101 (0.256)	Data 0.001 (0.192)	Loss 2.5210 (2.7011)	Prec@1 40.625 (35.590)	Prec@5 71.484 (65.332)
Epoch: [61][4520/7045]	Time 0.401 (0.256)	Data 0.350 (0.192)	Loss 2.4895 (2.7011)	Prec@1 35.547 (35.589)	Prec@5 68.750 (65.334)
Epoch: [61][4530/7045]	Time 0.450 (0.256)	Data 0.398 (0.192)	Loss 2.6512 (2.7009)	Prec@1 38.281 (35.595)	Prec@5 64.453 (65.336)
Epoch: [61][4540/7045]	Time 0.176 (0.256)	Data 0.125 (0.192)	Loss 2.6167 (2.7010)	Prec@1 38.672 (35.596)	Prec@5 67.578 (65.335)
Epoch: [61][4550/7045]	Time 0.471 (0.256)	Data 0.418 (0.192)	Loss 2.5675 (2.7010)	Prec@1 38.672 (35.598)	Prec@5 66.406 (65.333)
Epoch: [61][4560/7045]	Time 0.288 (0.256)	Data 0.237 (0.192)	Loss 2.7033 (2.7012)	Prec@1 37.891 (35.596)	Prec@5 64.062 (65.328)
Epoch: [61][4570/7045]	Time 0.213 (0.256)	Data 0.154 (0.192)	Loss 2.6659 (2.7012)	Prec@1 38.281 (35.597)	Prec@5 64.453 (65.327)
Epoch: [61][4580/7045]	Time 0.234 (0.256)	Data 0.183 (0.192)	Loss 2.6907 (2.7012)	Prec@1 34.766 (35.598)	Prec@5 62.891 (65.327)
Epoch: [61][4590/7045]	Time 0.107 (0.256)	Data 0.054 (0.192)	Loss 2.7026 (2.7012)	Prec@1 35.938 (35.596)	Prec@5 65.625 (65.324)
Epoch: [61][4600/7045]	Time 0.116 (0.256)	Data 0.065 (0.192)	Loss 2.7774 (2.7011)	Prec@1 31.250 (35.598)	Prec@5 61.328 (65.323)
Epoch: [61][4610/7045]	Time 0.371 (0.256)	Data 0.320 (0.192)	Loss 2.7960 (2.7012)	Prec@1 31.641 (35.593)	Prec@5 60.547 (65.323)
Epoch: [61][4620/7045]	Time 0.102 (0.256)	Data 0.023 (0.192)	Loss 2.7892 (2.7011)	Prec@1 31.641 (35.594)	Prec@5 60.156 (65.323)
Epoch: [61][4630/7045]	Time 0.301 (0.256)	Data 0.249 (0.192)	Loss 2.6420 (2.7012)	Prec@1 35.156 (35.593)	Prec@5 66.406 (65.324)
Epoch: [61][4640/7045]	Time 0.280 (0.256)	Data 0.228 (0.192)	Loss 2.6856 (2.7013)	Prec@1 33.594 (35.593)	Prec@5 67.188 (65.321)
Epoch: [61][4650/7045]	Time 0.234 (0.256)	Data 0.183 (0.192)	Loss 2.5849 (2.7013)	Prec@1 34.375 (35.589)	Prec@5 70.312 (65.322)
Epoch: [61][4660/7045]	Time 0.481 (0.256)	Data 0.429 (0.192)	Loss 3.0150 (2.7013)	Prec@1 28.516 (35.590)	Prec@5 58.594 (65.322)
Epoch: [61][4670/7045]	Time 0.147 (0.255)	Data 0.094 (0.192)	Loss 2.6947 (2.7014)	Prec@1 41.797 (35.589)	Prec@5 65.625 (65.321)
Epoch: [61][4680/7045]	Time 0.552 (0.256)	Data 0.492 (0.192)	Loss 2.6732 (2.7014)	Prec@1 36.328 (35.589)	Prec@5 63.281 (65.320)
Epoch: [61][4690/7045]	Time 0.102 (0.255)	Data 0.014 (0.192)	Loss 2.7982 (2.7014)	Prec@1 33.203 (35.590)	Prec@5 66.797 (65.318)
Epoch: [61][4700/7045]	Time 0.489 (0.255)	Data 0.438 (0.192)	Loss 2.6928 (2.7014)	Prec@1 32.031 (35.588)	Prec@5 64.453 (65.317)
Epoch: [61][4710/7045]	Time 0.164 (0.255)	Data 0.113 (0.192)	Loss 2.5805 (2.7014)	Prec@1 36.719 (35.589)	Prec@5 71.094 (65.319)
Epoch: [61][4720/7045]	Time 0.479 (0.255)	Data 0.428 (0.192)	Loss 2.7080 (2.7014)	Prec@1 38.281 (35.591)	Prec@5 65.625 (65.320)
Epoch: [61][4730/7045]	Time 0.126 (0.255)	Data 0.075 (0.192)	Loss 2.6389 (2.7015)	Prec@1 34.375 (35.585)	Prec@5 67.578 (65.318)
Epoch: [61][4740/7045]	Time 0.706 (0.255)	Data 0.654 (0.192)	Loss 2.7177 (2.7016)	Prec@1 39.453 (35.582)	Prec@5 67.969 (65.318)
Epoch: [61][4750/7045]	Time 0.148 (0.255)	Data 0.096 (0.191)	Loss 2.7816 (2.7016)	Prec@1 35.547 (35.583)	Prec@5 66.406 (65.319)
Epoch: [61][4760/7045]	Time 0.650 (0.255)	Data 0.597 (0.192)	Loss 2.5908 (2.7015)	Prec@1 38.281 (35.586)	Prec@5 67.578 (65.321)
Epoch: [61][4770/7045]	Time 0.107 (0.255)	Data 0.054 (0.191)	Loss 2.6975 (2.7015)	Prec@1 37.500 (35.584)	Prec@5 67.188 (65.322)
Epoch: [61][4780/7045]	Time 0.530 (0.255)	Data 0.480 (0.191)	Loss 2.6096 (2.7015)	Prec@1 41.016 (35.585)	Prec@5 67.969 (65.321)
Epoch: [61][4790/7045]	Time 0.113 (0.255)	Data 0.061 (0.191)	Loss 2.8099 (2.7014)	Prec@1 32.031 (35.586)	Prec@5 59.375 (65.322)
Epoch: [61][4800/7045]	Time 0.334 (0.255)	Data 0.282 (0.191)	Loss 2.5240 (2.7013)	Prec@1 38.281 (35.588)	Prec@5 71.094 (65.327)
Epoch: [61][4810/7045]	Time 0.131 (0.255)	Data 0.079 (0.191)	Loss 2.7539 (2.7014)	Prec@1 31.250 (35.587)	Prec@5 67.188 (65.325)
Epoch: [61][4820/7045]	Time 0.363 (0.255)	Data 0.311 (0.191)	Loss 2.7494 (2.7013)	Prec@1 38.281 (35.589)	Prec@5 64.844 (65.328)
Epoch: [61][4830/7045]	Time 0.152 (0.255)	Data 0.102 (0.191)	Loss 2.7619 (2.7012)	Prec@1 35.156 (35.590)	Prec@5 61.719 (65.328)
Epoch: [61][4840/7045]	Time 0.102 (0.255)	Data 0.008 (0.191)	Loss 2.5822 (2.7011)	Prec@1 36.328 (35.591)	Prec@5 67.578 (65.331)
Epoch: [61][4850/7045]	Time 0.112 (0.255)	Data 0.059 (0.191)	Loss 2.7067 (2.7011)	Prec@1 37.500 (35.590)	Prec@5 64.844 (65.329)
Epoch: [61][4860/7045]	Time 0.108 (0.255)	Data 0.056 (0.191)	Loss 2.5906 (2.7011)	Prec@1 37.891 (35.590)	Prec@5 65.625 (65.328)
Epoch: [61][4870/7045]	Time 0.122 (0.255)	Data 0.071 (0.191)	Loss 2.4537 (2.7009)	Prec@1 38.672 (35.588)	Prec@5 68.750 (65.332)
Epoch: [61][4880/7045]	Time 0.101 (0.255)	Data 0.008 (0.191)	Loss 2.6654 (2.7009)	Prec@1 36.328 (35.590)	Prec@5 66.406 (65.333)
Epoch: [61][4890/7045]	Time 0.202 (0.255)	Data 0.150 (0.191)	Loss 2.7751 (2.7008)	Prec@1 32.422 (35.592)	Prec@5 62.891 (65.333)
Epoch: [61][4900/7045]	Time 0.104 (0.255)	Data 0.001 (0.191)	Loss 2.6925 (2.7008)	Prec@1 29.688 (35.592)	Prec@5 66.406 (65.332)
Epoch: [61][4910/7045]	Time 0.441 (0.255)	Data 0.389 (0.191)	Loss 2.6434 (2.7007)	Prec@1 34.766 (35.592)	Prec@5 67.969 (65.333)
Epoch: [61][4920/7045]	Time 0.219 (0.255)	Data 0.168 (0.191)	Loss 2.5490 (2.7009)	Prec@1 39.453 (35.592)	Prec@5 72.266 (65.332)
Epoch: [61][4930/7045]	Time 0.586 (0.255)	Data 0.535 (0.191)	Loss 2.9322 (2.7008)	Prec@1 28.906 (35.592)	Prec@5 60.938 (65.334)
Epoch: [61][4940/7045]	Time 0.221 (0.255)	Data 0.170 (0.191)	Loss 2.6716 (2.7009)	Prec@1 33.203 (35.592)	Prec@5 66.016 (65.332)
Epoch: [61][4950/7045]	Time 0.490 (0.255)	Data 0.439 (0.191)	Loss 2.7170 (2.7008)	Prec@1 33.984 (35.591)	Prec@5 68.359 (65.333)
Epoch: [61][4960/7045]	Time 0.421 (0.255)	Data 0.370 (0.191)	Loss 2.6388 (2.7008)	Prec@1 34.766 (35.590)	Prec@5 65.234 (65.334)
Epoch: [61][4970/7045]	Time 0.317 (0.255)	Data 0.265 (0.191)	Loss 2.5938 (2.7007)	Prec@1 35.938 (35.592)	Prec@5 66.406 (65.335)
Epoch: [61][4980/7045]	Time 0.175 (0.255)	Data 0.125 (0.191)	Loss 2.7901 (2.7007)	Prec@1 36.719 (35.594)	Prec@5 64.453 (65.335)
Epoch: [61][4990/7045]	Time 0.329 (0.255)	Data 0.279 (0.191)	Loss 2.6869 (2.7007)	Prec@1 35.547 (35.592)	Prec@5 64.453 (65.335)
Epoch: [61][5000/7045]	Time 0.111 (0.255)	Data 0.001 (0.191)	Loss 2.8890 (2.7007)	Prec@1 33.203 (35.594)	Prec@5 59.375 (65.334)
Epoch: [61][5010/7045]	Time 0.323 (0.255)	Data 0.271 (0.191)	Loss 2.7877 (2.7007)	Prec@1 30.859 (35.594)	Prec@5 66.797 (65.334)
Epoch: [61][5020/7045]	Time 0.421 (0.255)	Data 0.370 (0.191)	Loss 2.7689 (2.7008)	Prec@1 35.156 (35.591)	Prec@5 62.109 (65.331)
Epoch: [61][5030/7045]	Time 0.161 (0.255)	Data 0.109 (0.191)	Loss 2.7643 (2.7008)	Prec@1 36.328 (35.592)	Prec@5 66.406 (65.331)
Epoch: [61][5040/7045]	Time 0.417 (0.255)	Data 0.366 (0.191)	Loss 2.5968 (2.7006)	Prec@1 37.500 (35.594)	Prec@5 66.406 (65.332)
Epoch: [61][5050/7045]	Time 0.115 (0.255)	Data 0.063 (0.191)	Loss 2.9565 (2.7007)	Prec@1 29.688 (35.592)	Prec@5 60.938 (65.330)
Epoch: [61][5060/7045]	Time 0.653 (0.255)	Data 0.600 (0.191)	Loss 2.6996 (2.7008)	Prec@1 36.328 (35.592)	Prec@5 67.188 (65.331)
Epoch: [61][5070/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 2.7286 (2.7008)	Prec@1 35.156 (35.592)	Prec@5 64.062 (65.330)
Epoch: [61][5080/7045]	Time 0.635 (0.255)	Data 0.583 (0.191)	Loss 2.7128 (2.7007)	Prec@1 32.812 (35.593)	Prec@5 63.281 (65.331)
Epoch: [61][5090/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 2.6405 (2.7006)	Prec@1 36.328 (35.595)	Prec@5 65.234 (65.332)
Epoch: [61][5100/7045]	Time 0.358 (0.255)	Data 0.301 (0.191)	Loss 2.5298 (2.7007)	Prec@1 41.406 (35.595)	Prec@5 69.531 (65.330)
Epoch: [61][5110/7045]	Time 0.158 (0.255)	Data 0.106 (0.191)	Loss 2.6476 (2.7007)	Prec@1 38.672 (35.594)	Prec@5 66.797 (65.330)
Epoch: [61][5120/7045]	Time 0.101 (0.255)	Data 0.019 (0.191)	Loss 2.9468 (2.7007)	Prec@1 26.562 (35.590)	Prec@5 59.375 (65.328)
Epoch: [61][5130/7045]	Time 0.255 (0.255)	Data 0.205 (0.191)	Loss 2.6847 (2.7008)	Prec@1 35.938 (35.591)	Prec@5 64.844 (65.327)
Epoch: [61][5140/7045]	Time 0.101 (0.255)	Data 0.009 (0.191)	Loss 2.9847 (2.7008)	Prec@1 29.688 (35.591)	Prec@5 59.375 (65.325)
Epoch: [61][5150/7045]	Time 0.366 (0.255)	Data 0.316 (0.191)	Loss 2.7439 (2.7009)	Prec@1 35.547 (35.589)	Prec@5 65.625 (65.323)
Epoch: [61][5160/7045]	Time 0.119 (0.255)	Data 0.065 (0.191)	Loss 2.6484 (2.7010)	Prec@1 37.500 (35.587)	Prec@5 64.062 (65.323)
Epoch: [61][5170/7045]	Time 0.212 (0.255)	Data 0.161 (0.191)	Loss 2.6558 (2.7008)	Prec@1 38.281 (35.588)	Prec@5 66.406 (65.327)
Epoch: [61][5180/7045]	Time 0.412 (0.255)	Data 0.362 (0.191)	Loss 2.6869 (2.7008)	Prec@1 30.859 (35.588)	Prec@5 68.359 (65.327)
Epoch: [61][5190/7045]	Time 0.148 (0.255)	Data 0.097 (0.191)	Loss 2.7471 (2.7008)	Prec@1 33.594 (35.590)	Prec@5 65.625 (65.327)
Epoch: [61][5200/7045]	Time 0.231 (0.255)	Data 0.180 (0.191)	Loss 2.5821 (2.7007)	Prec@1 37.500 (35.589)	Prec@5 65.625 (65.326)
Epoch: [61][5210/7045]	Time 0.101 (0.255)	Data 0.001 (0.191)	Loss 2.7802 (2.7008)	Prec@1 33.594 (35.589)	Prec@5 63.672 (65.324)
Epoch: [61][5220/7045]	Time 0.102 (0.255)	Data 0.005 (0.191)	Loss 2.6092 (2.7007)	Prec@1 33.984 (35.588)	Prec@5 66.406 (65.328)
Epoch: [61][5230/7045]	Time 0.511 (0.255)	Data 0.460 (0.191)	Loss 2.7570 (2.7008)	Prec@1 34.766 (35.588)	Prec@5 64.062 (65.327)
Epoch: [61][5240/7045]	Time 0.277 (0.255)	Data 0.226 (0.191)	Loss 2.9509 (2.7008)	Prec@1 29.688 (35.589)	Prec@5 59.375 (65.326)
Epoch: [61][5250/7045]	Time 0.518 (0.255)	Data 0.467 (0.191)	Loss 2.6935 (2.7008)	Prec@1 34.375 (35.589)	Prec@5 65.234 (65.326)
Epoch: [61][5260/7045]	Time 0.165 (0.255)	Data 0.114 (0.191)	Loss 2.5588 (2.7007)	Prec@1 36.328 (35.588)	Prec@5 68.359 (65.325)
Epoch: [61][5270/7045]	Time 0.523 (0.255)	Data 0.472 (0.191)	Loss 2.6688 (2.7007)	Prec@1 39.453 (35.590)	Prec@5 66.406 (65.326)
Epoch: [61][5280/7045]	Time 0.163 (0.255)	Data 0.111 (0.191)	Loss 2.5236 (2.7007)	Prec@1 40.234 (35.592)	Prec@5 71.875 (65.325)
Epoch: [61][5290/7045]	Time 0.594 (0.255)	Data 0.543 (0.191)	Loss 2.7584 (2.7006)	Prec@1 33.984 (35.592)	Prec@5 65.234 (65.327)
Epoch: [61][5300/7045]	Time 0.308 (0.255)	Data 0.257 (0.191)	Loss 2.7447 (2.7005)	Prec@1 33.984 (35.592)	Prec@5 67.969 (65.331)
Epoch: [61][5310/7045]	Time 0.497 (0.255)	Data 0.446 (0.191)	Loss 2.7431 (2.7005)	Prec@1 35.156 (35.592)	Prec@5 61.328 (65.331)
Epoch: [61][5320/7045]	Time 0.348 (0.255)	Data 0.287 (0.191)	Loss 2.8995 (2.7005)	Prec@1 31.641 (35.589)	Prec@5 64.453 (65.333)
Epoch: [61][5330/7045]	Time 0.228 (0.255)	Data 0.176 (0.191)	Loss 2.5666 (2.7005)	Prec@1 37.109 (35.588)	Prec@5 71.484 (65.333)
Epoch: [61][5340/7045]	Time 0.306 (0.255)	Data 0.255 (0.191)	Loss 2.7558 (2.7004)	Prec@1 32.422 (35.591)	Prec@5 64.844 (65.335)
Epoch: [61][5350/7045]	Time 0.100 (0.254)	Data 0.045 (0.191)	Loss 2.5380 (2.7004)	Prec@1 40.234 (35.593)	Prec@5 66.406 (65.334)
Epoch: [61][5360/7045]	Time 0.431 (0.254)	Data 0.379 (0.191)	Loss 2.6623 (2.7004)	Prec@1 35.547 (35.594)	Prec@5 67.578 (65.334)
Epoch: [61][5370/7045]	Time 0.110 (0.254)	Data 0.010 (0.191)	Loss 2.8922 (2.7005)	Prec@1 35.547 (35.594)	Prec@5 62.109 (65.332)
Epoch: [61][5380/7045]	Time 0.540 (0.254)	Data 0.488 (0.191)	Loss 2.7424 (2.7004)	Prec@1 34.375 (35.594)	Prec@5 63.281 (65.332)
Epoch: [61][5390/7045]	Time 0.109 (0.254)	Data 0.013 (0.191)	Loss 2.7662 (2.7004)	Prec@1 33.203 (35.593)	Prec@5 64.453 (65.330)
Epoch: [61][5400/7045]	Time 0.203 (0.254)	Data 0.152 (0.191)	Loss 2.7868 (2.7002)	Prec@1 35.547 (35.596)	Prec@5 64.062 (65.332)
Epoch: [61][5410/7045]	Time 0.101 (0.254)	Data 0.008 (0.191)	Loss 2.7383 (2.7002)	Prec@1 35.156 (35.597)	Prec@5 64.844 (65.333)
Epoch: [61][5420/7045]	Time 0.101 (0.254)	Data 0.019 (0.191)	Loss 2.7040 (2.7002)	Prec@1 33.984 (35.598)	Prec@5 65.234 (65.333)
Epoch: [61][5430/7045]	Time 0.481 (0.254)	Data 0.429 (0.191)	Loss 2.7690 (2.7001)	Prec@1 37.891 (35.602)	Prec@5 66.797 (65.335)
Epoch: [61][5440/7045]	Time 0.220 (0.254)	Data 0.169 (0.191)	Loss 2.9799 (2.7002)	Prec@1 33.203 (35.601)	Prec@5 59.375 (65.334)
Epoch: [61][5450/7045]	Time 0.472 (0.254)	Data 0.420 (0.191)	Loss 2.8947 (2.7002)	Prec@1 30.469 (35.599)	Prec@5 62.109 (65.334)
Epoch: [61][5460/7045]	Time 0.369 (0.254)	Data 0.318 (0.191)	Loss 2.6291 (2.7003)	Prec@1 35.938 (35.597)	Prec@5 67.188 (65.331)
Epoch: [61][5470/7045]	Time 0.211 (0.254)	Data 0.160 (0.191)	Loss 2.7657 (2.7004)	Prec@1 37.500 (35.596)	Prec@5 60.547 (65.327)
Epoch: [61][5480/7045]	Time 0.102 (0.254)	Data 0.014 (0.191)	Loss 2.7812 (2.7004)	Prec@1 35.938 (35.597)	Prec@5 60.938 (65.327)
Epoch: [61][5490/7045]	Time 0.102 (0.254)	Data 0.011 (0.191)	Loss 2.8912 (2.7004)	Prec@1 32.031 (35.597)	Prec@5 58.594 (65.326)
Epoch: [61][5500/7045]	Time 0.491 (0.254)	Data 0.438 (0.191)	Loss 2.6584 (2.7004)	Prec@1 36.719 (35.598)	Prec@5 67.969 (65.326)
Epoch: [61][5510/7045]	Time 0.102 (0.254)	Data 0.001 (0.191)	Loss 2.5754 (2.7004)	Prec@1 39.062 (35.596)	Prec@5 66.406 (65.324)
Epoch: [61][5520/7045]	Time 0.416 (0.254)	Data 0.364 (0.191)	Loss 2.8535 (2.7005)	Prec@1 31.641 (35.595)	Prec@5 63.281 (65.322)
Epoch: [61][5530/7045]	Time 0.247 (0.254)	Data 0.195 (0.191)	Loss 2.9655 (2.7005)	Prec@1 27.734 (35.594)	Prec@5 59.766 (65.322)
Epoch: [61][5540/7045]	Time 0.101 (0.254)	Data 0.001 (0.191)	Loss 2.7361 (2.7005)	Prec@1 37.891 (35.594)	Prec@5 64.062 (65.321)
Epoch: [61][5550/7045]	Time 0.261 (0.254)	Data 0.208 (0.191)	Loss 2.6996 (2.7006)	Prec@1 39.844 (35.594)	Prec@5 66.797 (65.320)
Epoch: [61][5560/7045]	Time 0.264 (0.254)	Data 0.204 (0.191)	Loss 2.4253 (2.7005)	Prec@1 41.797 (35.594)	Prec@5 70.312 (65.321)
Epoch: [61][5570/7045]	Time 0.106 (0.254)	Data 0.053 (0.191)	Loss 2.4845 (2.7005)	Prec@1 39.844 (35.595)	Prec@5 71.875 (65.321)
Epoch: [61][5580/7045]	Time 0.181 (0.254)	Data 0.129 (0.191)	Loss 2.7652 (2.7005)	Prec@1 35.938 (35.594)	Prec@5 64.844 (65.321)
Epoch: [61][5590/7045]	Time 0.109 (0.254)	Data 0.056 (0.191)	Loss 2.4804 (2.7004)	Prec@1 39.062 (35.598)	Prec@5 68.750 (65.322)
Epoch: [61][5600/7045]	Time 0.293 (0.254)	Data 0.240 (0.191)	Loss 2.8552 (2.7003)	Prec@1 31.641 (35.602)	Prec@5 63.281 (65.325)
Epoch: [61][5610/7045]	Time 0.107 (0.254)	Data 0.054 (0.191)	Loss 2.5536 (2.7002)	Prec@1 37.891 (35.602)	Prec@5 69.922 (65.325)
Epoch: [61][5620/7045]	Time 0.367 (0.254)	Data 0.316 (0.191)	Loss 2.8158 (2.7002)	Prec@1 33.984 (35.602)	Prec@5 61.328 (65.328)
Epoch: [61][5630/7045]	Time 0.117 (0.254)	Data 0.065 (0.191)	Loss 2.7827 (2.7003)	Prec@1 30.859 (35.601)	Prec@5 63.281 (65.327)
Epoch: [61][5640/7045]	Time 0.110 (0.254)	Data 0.003 (0.191)	Loss 2.8369 (2.7003)	Prec@1 32.422 (35.600)	Prec@5 64.453 (65.324)
Epoch: [61][5650/7045]	Time 0.157 (0.254)	Data 0.104 (0.191)	Loss 2.6522 (2.7003)	Prec@1 38.672 (35.599)	Prec@5 65.234 (65.325)
Epoch: [61][5660/7045]	Time 0.108 (0.254)	Data 0.001 (0.191)	Loss 2.7299 (2.7002)	Prec@1 34.375 (35.602)	Prec@5 64.453 (65.326)
Epoch: [61][5670/7045]	Time 0.102 (0.254)	Data 0.005 (0.191)	Loss 2.8414 (2.7002)	Prec@1 33.203 (35.603)	Prec@5 61.328 (65.325)
Epoch: [61][5680/7045]	Time 0.130 (0.254)	Data 0.078 (0.191)	Loss 2.6368 (2.7003)	Prec@1 41.016 (35.605)	Prec@5 62.891 (65.324)
Epoch: [61][5690/7045]	Time 0.111 (0.254)	Data 0.057 (0.191)	Loss 2.6170 (2.7002)	Prec@1 32.812 (35.602)	Prec@5 66.016 (65.324)
Epoch: [61][5700/7045]	Time 0.223 (0.254)	Data 0.172 (0.191)	Loss 2.7830 (2.7002)	Prec@1 34.766 (35.605)	Prec@5 64.062 (65.324)
Epoch: [61][5710/7045]	Time 0.191 (0.254)	Data 0.140 (0.191)	Loss 2.7128 (2.7002)	Prec@1 32.422 (35.606)	Prec@5 64.453 (65.324)
Epoch: [61][5720/7045]	Time 0.276 (0.254)	Data 0.215 (0.191)	Loss 2.8074 (2.7002)	Prec@1 30.078 (35.606)	Prec@5 61.719 (65.325)
Epoch: [61][5730/7045]	Time 0.107 (0.254)	Data 0.054 (0.191)	Loss 2.8091 (2.7001)	Prec@1 32.812 (35.609)	Prec@5 58.594 (65.327)
Epoch: [61][5740/7045]	Time 0.110 (0.254)	Data 0.001 (0.191)	Loss 2.7231 (2.7001)	Prec@1 36.328 (35.609)	Prec@5 64.844 (65.327)
Epoch: [61][5750/7045]	Time 0.102 (0.254)	Data 0.045 (0.190)	Loss 2.5631 (2.7001)	Prec@1 37.891 (35.610)	Prec@5 67.969 (65.328)
Epoch: [61][5760/7045]	Time 0.192 (0.254)	Data 0.141 (0.191)	Loss 2.8122 (2.7001)	Prec@1 31.641 (35.609)	Prec@5 63.281 (65.329)
Epoch: [61][5770/7045]	Time 0.604 (0.254)	Data 0.553 (0.191)	Loss 2.4511 (2.7000)	Prec@1 40.234 (35.611)	Prec@5 71.094 (65.331)
Epoch: [61][5780/7045]	Time 0.101 (0.254)	Data 0.001 (0.190)	Loss 2.7878 (2.7000)	Prec@1 33.203 (35.613)	Prec@5 64.844 (65.332)
Epoch: [61][5790/7045]	Time 0.454 (0.254)	Data 0.402 (0.190)	Loss 2.8165 (2.6999)	Prec@1 33.984 (35.614)	Prec@5 62.891 (65.333)
Epoch: [61][5800/7045]	Time 0.121 (0.254)	Data 0.070 (0.190)	Loss 2.6189 (2.6998)	Prec@1 34.766 (35.614)	Prec@5 66.016 (65.333)
Epoch: [61][5810/7045]	Time 0.178 (0.254)	Data 0.128 (0.190)	Loss 2.7154 (2.6999)	Prec@1 37.500 (35.616)	Prec@5 64.062 (65.334)
Epoch: [61][5820/7045]	Time 0.103 (0.254)	Data 0.015 (0.190)	Loss 2.7473 (2.6999)	Prec@1 37.500 (35.616)	Prec@5 61.719 (65.331)
Epoch: [61][5830/7045]	Time 0.127 (0.254)	Data 0.076 (0.190)	Loss 2.7684 (2.6998)	Prec@1 39.062 (35.618)	Prec@5 62.891 (65.333)
Epoch: [61][5840/7045]	Time 0.253 (0.254)	Data 0.202 (0.190)	Loss 2.5557 (2.6998)	Prec@1 33.203 (35.617)	Prec@5 68.750 (65.334)
Epoch: [61][5850/7045]	Time 0.101 (0.254)	Data 0.024 (0.190)	Loss 2.6080 (2.6997)	Prec@1 37.109 (35.616)	Prec@5 64.062 (65.335)
Epoch: [61][5860/7045]	Time 0.102 (0.254)	Data 0.007 (0.190)	Loss 2.7485 (2.6997)	Prec@1 34.375 (35.620)	Prec@5 66.016 (65.336)
Epoch: [61][5870/7045]	Time 0.113 (0.254)	Data 0.062 (0.190)	Loss 2.8949 (2.6996)	Prec@1 32.422 (35.620)	Prec@5 61.328 (65.338)
Epoch: [61][5880/7045]	Time 0.155 (0.254)	Data 0.104 (0.190)	Loss 2.6551 (2.6996)	Prec@1 38.281 (35.622)	Prec@5 67.969 (65.340)
Epoch: [61][5890/7045]	Time 0.280 (0.254)	Data 0.230 (0.190)	Loss 2.8650 (2.6996)	Prec@1 36.719 (35.622)	Prec@5 64.062 (65.338)
Epoch: [61][5900/7045]	Time 0.122 (0.254)	Data 0.071 (0.190)	Loss 2.7876 (2.6996)	Prec@1 33.984 (35.622)	Prec@5 68.359 (65.339)
Epoch: [61][5910/7045]	Time 0.586 (0.254)	Data 0.525 (0.190)	Loss 2.5956 (2.6996)	Prec@1 41.406 (35.623)	Prec@5 66.016 (65.341)
Epoch: [61][5920/7045]	Time 0.109 (0.254)	Data 0.001 (0.190)	Loss 2.7135 (2.6995)	Prec@1 35.156 (35.624)	Prec@5 64.844 (65.342)
Epoch: [61][5930/7045]	Time 0.286 (0.254)	Data 0.234 (0.190)	Loss 2.5455 (2.6996)	Prec@1 39.844 (35.626)	Prec@5 68.750 (65.342)
Epoch: [61][5940/7045]	Time 0.110 (0.254)	Data 0.058 (0.190)	Loss 2.6039 (2.6995)	Prec@1 39.453 (35.629)	Prec@5 66.406 (65.343)
Epoch: [61][5950/7045]	Time 0.489 (0.254)	Data 0.438 (0.190)	Loss 2.7201 (2.6994)	Prec@1 35.156 (35.629)	Prec@5 62.500 (65.344)
Epoch: [61][5960/7045]	Time 0.100 (0.254)	Data 0.001 (0.190)	Loss 2.6188 (2.6994)	Prec@1 37.891 (35.629)	Prec@5 64.844 (65.344)
Epoch: [61][5970/7045]	Time 0.615 (0.254)	Data 0.564 (0.190)	Loss 2.6538 (2.6994)	Prec@1 40.625 (35.629)	Prec@5 67.188 (65.343)
Epoch: [61][5980/7045]	Time 0.238 (0.254)	Data 0.178 (0.190)	Loss 2.5676 (2.6995)	Prec@1 40.625 (35.626)	Prec@5 64.062 (65.341)
Epoch: [61][5990/7045]	Time 0.637 (0.254)	Data 0.587 (0.190)	Loss 2.7713 (2.6995)	Prec@1 32.031 (35.627)	Prec@5 62.500 (65.342)
Epoch: [61][6000/7045]	Time 0.101 (0.254)	Data 0.049 (0.190)	Loss 2.6692 (2.6994)	Prec@1 36.719 (35.629)	Prec@5 64.453 (65.342)
Epoch: [61][6010/7045]	Time 0.274 (0.254)	Data 0.216 (0.190)	Loss 2.8797 (2.6993)	Prec@1 34.375 (35.632)	Prec@5 58.984 (65.342)
Epoch: [61][6020/7045]	Time 0.105 (0.254)	Data 0.052 (0.190)	Loss 2.5622 (2.6993)	Prec@1 35.547 (35.633)	Prec@5 67.188 (65.341)
Epoch: [61][6030/7045]	Time 0.310 (0.254)	Data 0.256 (0.190)	Loss 2.5871 (2.6994)	Prec@1 41.406 (35.632)	Prec@5 66.797 (65.339)
Epoch: [61][6040/7045]	Time 0.102 (0.254)	Data 0.001 (0.190)	Loss 2.5355 (2.6993)	Prec@1 34.766 (35.632)	Prec@5 69.531 (65.342)
Epoch: [61][6050/7045]	Time 0.391 (0.254)	Data 0.340 (0.190)	Loss 2.8107 (2.6992)	Prec@1 37.891 (35.633)	Prec@5 63.672 (65.345)
Epoch: [61][6060/7045]	Time 0.102 (0.254)	Data 0.001 (0.190)	Loss 2.5764 (2.6992)	Prec@1 38.672 (35.635)	Prec@5 71.875 (65.346)
Epoch: [61][6070/7045]	Time 0.531 (0.254)	Data 0.472 (0.190)	Loss 2.6868 (2.6992)	Prec@1 33.984 (35.634)	Prec@5 64.844 (65.346)
Epoch: [61][6080/7045]	Time 0.101 (0.254)	Data 0.007 (0.190)	Loss 2.8233 (2.6992)	Prec@1 36.328 (35.635)	Prec@5 63.281 (65.346)
Epoch: [61][6090/7045]	Time 0.524 (0.254)	Data 0.465 (0.190)	Loss 2.7008 (2.6992)	Prec@1 37.500 (35.635)	Prec@5 69.141 (65.346)
Epoch: [61][6100/7045]	Time 0.103 (0.254)	Data 0.003 (0.190)	Loss 2.8320 (2.6992)	Prec@1 34.375 (35.638)	Prec@5 62.891 (65.346)
Epoch: [61][6110/7045]	Time 0.341 (0.254)	Data 0.289 (0.190)	Loss 2.6592 (2.6991)	Prec@1 33.984 (35.637)	Prec@5 63.281 (65.349)
Epoch: [61][6120/7045]	Time 0.102 (0.254)	Data 0.017 (0.190)	Loss 2.6361 (2.6991)	Prec@1 41.016 (35.640)	Prec@5 65.234 (65.349)
Epoch: [61][6130/7045]	Time 0.356 (0.254)	Data 0.304 (0.190)	Loss 2.8066 (2.6990)	Prec@1 34.375 (35.640)	Prec@5 65.625 (65.352)
Epoch: [61][6140/7045]	Time 0.110 (0.254)	Data 0.009 (0.190)	Loss 2.6082 (2.6989)	Prec@1 39.062 (35.642)	Prec@5 66.797 (65.356)
Epoch: [61][6150/7045]	Time 0.218 (0.254)	Data 0.166 (0.190)	Loss 2.7523 (2.6989)	Prec@1 35.547 (35.642)	Prec@5 66.406 (65.355)
Epoch: [61][6160/7045]	Time 0.194 (0.254)	Data 0.139 (0.190)	Loss 2.8363 (2.6989)	Prec@1 37.109 (35.641)	Prec@5 62.500 (65.355)
Epoch: [61][6170/7045]	Time 0.103 (0.254)	Data 0.001 (0.190)	Loss 2.7420 (2.6989)	Prec@1 34.375 (35.643)	Prec@5 60.547 (65.354)
Epoch: [61][6180/7045]	Time 0.112 (0.254)	Data 0.005 (0.190)	Loss 2.6979 (2.6988)	Prec@1 36.328 (35.645)	Prec@5 67.969 (65.359)
Epoch: [61][6190/7045]	Time 0.370 (0.254)	Data 0.319 (0.190)	Loss 2.5796 (2.6988)	Prec@1 38.281 (35.645)	Prec@5 67.969 (65.359)
Epoch: [61][6200/7045]	Time 0.192 (0.254)	Data 0.141 (0.190)	Loss 2.8352 (2.6987)	Prec@1 33.594 (35.647)	Prec@5 62.109 (65.359)
Epoch: [61][6210/7045]	Time 0.532 (0.254)	Data 0.479 (0.190)	Loss 2.7671 (2.6988)	Prec@1 35.938 (35.648)	Prec@5 64.844 (65.359)
Epoch: [61][6220/7045]	Time 0.102 (0.254)	Data 0.001 (0.190)	Loss 2.9188 (2.6988)	Prec@1 31.250 (35.646)	Prec@5 59.766 (65.357)
Epoch: [61][6230/7045]	Time 0.257 (0.254)	Data 0.207 (0.190)	Loss 2.7076 (2.6988)	Prec@1 35.938 (35.647)	Prec@5 65.625 (65.358)
Epoch: [61][6240/7045]	Time 0.484 (0.254)	Data 0.433 (0.190)	Loss 2.7045 (2.6987)	Prec@1 40.234 (35.650)	Prec@5 65.234 (65.358)
Epoch: [61][6250/7045]	Time 0.102 (0.254)	Data 0.001 (0.190)	Loss 2.5860 (2.6987)	Prec@1 39.062 (35.652)	Prec@5 65.625 (65.358)
Epoch: [61][6260/7045]	Time 0.297 (0.254)	Data 0.246 (0.190)	Loss 2.6761 (2.6987)	Prec@1 37.891 (35.653)	Prec@5 65.234 (65.360)
Epoch: [61][6270/7045]	Time 0.104 (0.254)	Data 0.018 (0.190)	Loss 2.5975 (2.6987)	Prec@1 40.625 (35.653)	Prec@5 70.312 (65.360)
Epoch: [61][6280/7045]	Time 0.177 (0.254)	Data 0.126 (0.190)	Loss 2.9865 (2.6987)	Prec@1 32.031 (35.649)	Prec@5 62.109 (65.359)
Epoch: [61][6290/7045]	Time 0.102 (0.254)	Data 0.026 (0.190)	Loss 2.6389 (2.6988)	Prec@1 39.844 (35.650)	Prec@5 68.750 (65.360)
Epoch: [61][6300/7045]	Time 0.150 (0.254)	Data 0.098 (0.190)	Loss 2.6554 (2.6988)	Prec@1 36.328 (35.649)	Prec@5 66.797 (65.361)
Epoch: [61][6310/7045]	Time 0.101 (0.254)	Data 0.002 (0.190)	Loss 2.7650 (2.6987)	Prec@1 33.594 (35.650)	Prec@5 61.719 (65.362)
Epoch: [61][6320/7045]	Time 0.507 (0.254)	Data 0.455 (0.190)	Loss 2.9813 (2.6988)	Prec@1 30.859 (35.648)	Prec@5 61.719 (65.361)
Epoch: [61][6330/7045]	Time 0.335 (0.254)	Data 0.284 (0.190)	Loss 2.6819 (2.6988)	Prec@1 36.328 (35.648)	Prec@5 67.188 (65.360)
Epoch: [61][6340/7045]	Time 0.338 (0.254)	Data 0.287 (0.190)	Loss 2.6900 (2.6988)	Prec@1 34.766 (35.647)	Prec@5 65.234 (65.360)
Epoch: [61][6350/7045]	Time 0.389 (0.254)	Data 0.338 (0.190)	Loss 2.5692 (2.6987)	Prec@1 37.109 (35.649)	Prec@5 70.703 (65.363)
Epoch: [61][6360/7045]	Time 0.102 (0.254)	Data 0.001 (0.190)	Loss 2.7302 (2.6986)	Prec@1 35.938 (35.650)	Prec@5 66.406 (65.365)
Epoch: [61][6370/7045]	Time 0.538 (0.254)	Data 0.487 (0.190)	Loss 2.7054 (2.6986)	Prec@1 37.500 (35.650)	Prec@5 69.531 (65.368)
Epoch: [61][6380/7045]	Time 0.102 (0.254)	Data 0.001 (0.190)	Loss 2.7329 (2.6987)	Prec@1 33.594 (35.648)	Prec@5 64.453 (65.366)
Epoch: [61][6390/7045]	Time 0.553 (0.254)	Data 0.502 (0.190)	Loss 2.6274 (2.6988)	Prec@1 37.500 (35.647)	Prec@5 65.625 (65.365)
Epoch: [61][6400/7045]	Time 0.102 (0.254)	Data 0.001 (0.190)	Loss 2.7416 (2.6989)	Prec@1 37.109 (35.646)	Prec@5 64.844 (65.363)
Epoch: [61][6410/7045]	Time 0.706 (0.254)	Data 0.654 (0.190)	Loss 2.9158 (2.6990)	Prec@1 32.812 (35.645)	Prec@5 61.328 (65.361)
Epoch: [61][6420/7045]	Time 0.100 (0.253)	Data 0.001 (0.190)	Loss 2.4609 (2.6989)	Prec@1 36.328 (35.647)	Prec@5 74.219 (65.364)
Epoch: [61][6430/7045]	Time 0.676 (0.254)	Data 0.615 (0.190)	Loss 2.6886 (2.6988)	Prec@1 34.766 (35.648)	Prec@5 69.141 (65.367)
Epoch: [61][6440/7045]	Time 0.118 (0.253)	Data 0.066 (0.190)	Loss 2.5700 (2.6988)	Prec@1 39.453 (35.649)	Prec@5 66.406 (65.365)
Epoch: [61][6450/7045]	Time 0.583 (0.253)	Data 0.532 (0.190)	Loss 2.7431 (2.6989)	Prec@1 35.156 (35.647)	Prec@5 62.109 (65.362)
Epoch: [61][6460/7045]	Time 0.116 (0.253)	Data 0.063 (0.190)	Loss 2.5905 (2.6989)	Prec@1 35.547 (35.648)	Prec@5 66.797 (65.362)
Epoch: [61][6470/7045]	Time 0.565 (0.253)	Data 0.514 (0.190)	Loss 2.7064 (2.6990)	Prec@1 34.375 (35.647)	Prec@5 63.281 (65.362)
Epoch: [61][6480/7045]	Time 0.110 (0.253)	Data 0.001 (0.190)	Loss 2.6322 (2.6989)	Prec@1 37.500 (35.646)	Prec@5 67.969 (65.363)
Epoch: [61][6490/7045]	Time 0.534 (0.253)	Data 0.483 (0.190)	Loss 2.6477 (2.6989)	Prec@1 40.234 (35.646)	Prec@5 67.188 (65.362)
Epoch: [61][6500/7045]	Time 0.280 (0.253)	Data 0.228 (0.190)	Loss 2.7464 (2.6988)	Prec@1 34.375 (35.651)	Prec@5 67.188 (65.365)
Epoch: [61][6510/7045]	Time 0.411 (0.253)	Data 0.353 (0.190)	Loss 2.7706 (2.6988)	Prec@1 35.156 (35.650)	Prec@5 69.141 (65.367)
Epoch: [61][6520/7045]	Time 0.111 (0.253)	Data 0.001 (0.190)	Loss 2.6999 (2.6987)	Prec@1 33.594 (35.650)	Prec@5 63.672 (65.368)
Epoch: [61][6530/7045]	Time 0.648 (0.253)	Data 0.594 (0.190)	Loss 2.7095 (2.6987)	Prec@1 33.203 (35.649)	Prec@5 67.188 (65.366)
Epoch: [61][6540/7045]	Time 0.213 (0.253)	Data 0.156 (0.189)	Loss 2.5844 (2.6987)	Prec@1 38.672 (35.650)	Prec@5 68.750 (65.369)
Epoch: [61][6550/7045]	Time 0.405 (0.253)	Data 0.354 (0.189)	Loss 2.5506 (2.6986)	Prec@1 34.766 (35.650)	Prec@5 68.750 (65.369)
Epoch: [61][6560/7045]	Time 0.187 (0.253)	Data 0.136 (0.189)	Loss 2.4942 (2.6986)	Prec@1 43.359 (35.650)	Prec@5 70.312 (65.370)
Epoch: [61][6570/7045]	Time 0.578 (0.253)	Data 0.527 (0.189)	Loss 2.4939 (2.6986)	Prec@1 39.453 (35.651)	Prec@5 69.531 (65.371)
Epoch: [61][6580/7045]	Time 0.128 (0.253)	Data 0.069 (0.189)	Loss 2.7239 (2.6986)	Prec@1 35.547 (35.651)	Prec@5 65.625 (65.371)
Epoch: [61][6590/7045]	Time 0.905 (0.253)	Data 0.853 (0.189)	Loss 2.7212 (2.6986)	Prec@1 32.422 (35.652)	Prec@5 62.500 (65.371)
Epoch: [61][6600/7045]	Time 0.110 (0.253)	Data 0.057 (0.189)	Loss 2.7086 (2.6984)	Prec@1 32.422 (35.655)	Prec@5 65.234 (65.374)
Epoch: [61][6610/7045]	Time 0.510 (0.253)	Data 0.459 (0.189)	Loss 2.8521 (2.6984)	Prec@1 32.031 (35.655)	Prec@5 61.328 (65.376)
Epoch: [61][6620/7045]	Time 0.108 (0.253)	Data 0.049 (0.189)	Loss 2.9452 (2.6984)	Prec@1 33.203 (35.654)	Prec@5 64.062 (65.376)
Epoch: [61][6630/7045]	Time 0.598 (0.253)	Data 0.539 (0.189)	Loss 2.6742 (2.6983)	Prec@1 35.156 (35.656)	Prec@5 64.062 (65.376)
Epoch: [61][6640/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 2.8451 (2.6984)	Prec@1 30.469 (35.657)	Prec@5 63.672 (65.376)
Epoch: [61][6650/7045]	Time 0.519 (0.253)	Data 0.468 (0.189)	Loss 2.9708 (2.6985)	Prec@1 32.031 (35.656)	Prec@5 59.375 (65.373)
Epoch: [61][6660/7045]	Time 0.101 (0.253)	Data 0.016 (0.189)	Loss 2.7494 (2.6984)	Prec@1 37.500 (35.657)	Prec@5 64.844 (65.373)
Epoch: [61][6670/7045]	Time 0.541 (0.253)	Data 0.482 (0.189)	Loss 2.4956 (2.6984)	Prec@1 37.500 (35.657)	Prec@5 70.703 (65.373)
Epoch: [61][6680/7045]	Time 0.103 (0.253)	Data 0.001 (0.189)	Loss 2.5930 (2.6983)	Prec@1 37.891 (35.658)	Prec@5 66.797 (65.375)
Epoch: [61][6690/7045]	Time 0.561 (0.253)	Data 0.510 (0.189)	Loss 2.7902 (2.6984)	Prec@1 36.719 (35.657)	Prec@5 62.500 (65.373)
Epoch: [61][6700/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 2.9691 (2.6984)	Prec@1 31.250 (35.656)	Prec@5 60.547 (65.372)
Epoch: [61][6710/7045]	Time 0.425 (0.253)	Data 0.372 (0.189)	Loss 2.6523 (2.6984)	Prec@1 37.500 (35.656)	Prec@5 66.016 (65.371)
Epoch: [61][6720/7045]	Time 0.102 (0.253)	Data 0.015 (0.189)	Loss 2.7410 (2.6985)	Prec@1 37.109 (35.655)	Prec@5 64.453 (65.371)
Epoch: [61][6730/7045]	Time 0.643 (0.253)	Data 0.592 (0.189)	Loss 2.8425 (2.6985)	Prec@1 32.422 (35.657)	Prec@5 66.016 (65.372)
Epoch: [61][6740/7045]	Time 0.118 (0.253)	Data 0.068 (0.189)	Loss 2.9040 (2.6985)	Prec@1 32.422 (35.656)	Prec@5 61.328 (65.370)
Epoch: [61][6750/7045]	Time 0.273 (0.253)	Data 0.222 (0.189)	Loss 2.6740 (2.6985)	Prec@1 33.984 (35.657)	Prec@5 66.016 (65.371)
Epoch: [61][6760/7045]	Time 0.220 (0.253)	Data 0.167 (0.189)	Loss 2.7110 (2.6984)	Prec@1 34.375 (35.656)	Prec@5 65.234 (65.371)
Epoch: [61][6770/7045]	Time 0.110 (0.253)	Data 0.001 (0.189)	Loss 2.6862 (2.6985)	Prec@1 30.859 (35.656)	Prec@5 67.188 (65.372)
Epoch: [61][6780/7045]	Time 0.103 (0.253)	Data 0.010 (0.189)	Loss 2.8615 (2.6985)	Prec@1 32.812 (35.656)	Prec@5 62.891 (65.370)
Epoch: [61][6790/7045]	Time 0.102 (0.253)	Data 0.016 (0.189)	Loss 2.4542 (2.6984)	Prec@1 36.719 (35.656)	Prec@5 69.531 (65.372)
Epoch: [61][6800/7045]	Time 0.182 (0.253)	Data 0.131 (0.189)	Loss 2.6764 (2.6985)	Prec@1 35.156 (35.654)	Prec@5 67.969 (65.372)
Epoch: [61][6810/7045]	Time 0.147 (0.253)	Data 0.096 (0.189)	Loss 2.7920 (2.6984)	Prec@1 31.250 (35.654)	Prec@5 67.188 (65.374)
Epoch: [61][6820/7045]	Time 0.136 (0.253)	Data 0.084 (0.189)	Loss 2.5893 (2.6985)	Prec@1 37.500 (35.653)	Prec@5 68.359 (65.374)
Epoch: [61][6830/7045]	Time 0.225 (0.253)	Data 0.175 (0.189)	Loss 2.7760 (2.6985)	Prec@1 33.984 (35.653)	Prec@5 64.062 (65.372)
Epoch: [61][6840/7045]	Time 0.360 (0.253)	Data 0.309 (0.189)	Loss 2.6974 (2.6986)	Prec@1 36.719 (35.654)	Prec@5 67.578 (65.373)
Epoch: [61][6850/7045]	Time 0.471 (0.253)	Data 0.420 (0.189)	Loss 2.3705 (2.6985)	Prec@1 41.406 (35.655)	Prec@5 71.484 (65.375)
Epoch: [61][6860/7045]	Time 0.326 (0.253)	Data 0.276 (0.189)	Loss 2.5173 (2.6984)	Prec@1 39.453 (35.657)	Prec@5 69.531 (65.376)
Epoch: [61][6870/7045]	Time 0.139 (0.253)	Data 0.089 (0.189)	Loss 2.6116 (2.6984)	Prec@1 43.359 (35.659)	Prec@5 68.359 (65.375)
Epoch: [61][6880/7045]	Time 0.301 (0.253)	Data 0.249 (0.189)	Loss 2.5405 (2.6984)	Prec@1 34.766 (35.656)	Prec@5 69.141 (65.375)
Epoch: [61][6890/7045]	Time 0.101 (0.253)	Data 0.013 (0.189)	Loss 2.6379 (2.6983)	Prec@1 38.281 (35.658)	Prec@5 66.016 (65.377)
Epoch: [61][6900/7045]	Time 0.328 (0.253)	Data 0.276 (0.189)	Loss 2.6027 (2.6983)	Prec@1 33.594 (35.658)	Prec@5 66.016 (65.376)
Epoch: [61][6910/7045]	Time 0.159 (0.253)	Data 0.098 (0.189)	Loss 2.8199 (2.6982)	Prec@1 35.547 (35.661)	Prec@5 62.891 (65.375)
Epoch: [61][6920/7045]	Time 0.324 (0.253)	Data 0.273 (0.189)	Loss 2.7586 (2.6982)	Prec@1 35.938 (35.662)	Prec@5 66.016 (65.377)
Epoch: [61][6930/7045]	Time 0.174 (0.253)	Data 0.122 (0.189)	Loss 2.4159 (2.6981)	Prec@1 37.891 (35.664)	Prec@5 73.047 (65.380)
Epoch: [61][6940/7045]	Time 0.309 (0.253)	Data 0.258 (0.189)	Loss 2.5736 (2.6981)	Prec@1 39.844 (35.665)	Prec@5 69.922 (65.381)
Epoch: [61][6950/7045]	Time 0.167 (0.253)	Data 0.114 (0.189)	Loss 2.6228 (2.6981)	Prec@1 35.938 (35.665)	Prec@5 67.969 (65.381)
Epoch: [61][6960/7045]	Time 0.248 (0.253)	Data 0.196 (0.189)	Loss 2.5918 (2.6981)	Prec@1 37.891 (35.665)	Prec@5 69.141 (65.382)
Epoch: [61][6970/7045]	Time 0.255 (0.253)	Data 0.203 (0.189)	Loss 2.5327 (2.6981)	Prec@1 38.281 (35.665)	Prec@5 68.750 (65.383)
Epoch: [61][6980/7045]	Time 0.250 (0.253)	Data 0.199 (0.189)	Loss 2.7103 (2.6980)	Prec@1 35.547 (35.665)	Prec@5 63.281 (65.383)
Epoch: [61][6990/7045]	Time 0.142 (0.253)	Data 0.092 (0.189)	Loss 2.5868 (2.6979)	Prec@1 34.766 (35.667)	Prec@5 67.578 (65.385)
Epoch: [61][7000/7045]	Time 0.529 (0.253)	Data 0.478 (0.189)	Loss 2.7691 (2.6980)	Prec@1 32.031 (35.667)	Prec@5 63.281 (65.385)
Epoch: [61][7010/7045]	Time 0.194 (0.253)	Data 0.141 (0.189)	Loss 2.7131 (2.6980)	Prec@1 34.375 (35.666)	Prec@5 66.406 (65.384)
Epoch: [61][7020/7045]	Time 0.516 (0.253)	Data 0.463 (0.189)	Loss 2.5780 (2.6980)	Prec@1 37.500 (35.666)	Prec@5 67.578 (65.385)
Epoch: [61][7030/7045]	Time 0.205 (0.253)	Data 0.154 (0.189)	Loss 2.8325 (2.6980)	Prec@1 38.281 (35.667)	Prec@5 61.328 (65.385)
Epoch: [61][7040/7045]	Time 0.570 (0.253)	Data 0.509 (0.189)	Loss 2.7899 (2.6979)	Prec@1 33.594 (35.668)	Prec@5 63.281 (65.387)
Test: [0/143]	Time 1.319 (1.319)	Loss 2.3186 (2.3186)	Prec@1 43.750 (43.750)	Prec@5 75.000 (75.000)
Test: [10/143]	Time 0.063 (0.257)	Loss 1.7894 (2.1436)	Prec@1 58.594 (47.195)	Prec@5 80.859 (76.847)
Test: [20/143]	Time 0.294 (0.225)	Loss 2.2469 (2.1063)	Prec@1 42.969 (46.354)	Prec@5 77.344 (77.976)
Test: [30/143]	Time 0.285 (0.214)	Loss 2.3059 (2.1283)	Prec@1 46.094 (46.522)	Prec@5 67.969 (76.865)
Test: [40/143]	Time 0.048 (0.202)	Loss 2.7308 (2.1528)	Prec@1 26.953 (45.798)	Prec@5 69.141 (76.267)
Test: [50/143]	Time 0.173 (0.198)	Loss 2.0081 (2.2064)	Prec@1 43.359 (44.003)	Prec@5 82.422 (75.551)
Test: [60/143]	Time 0.397 (0.196)	Loss 2.5200 (2.1942)	Prec@1 33.984 (44.371)	Prec@5 69.141 (75.756)
Test: [70/143]	Time 0.113 (0.190)	Loss 3.0791 (2.1847)	Prec@1 22.656 (44.570)	Prec@5 57.031 (75.919)
Test: [80/143]	Time 0.223 (0.187)	Loss 2.1047 (2.1783)	Prec@1 46.094 (44.748)	Prec@5 78.125 (76.104)
Test: [90/143]	Time 0.179 (0.186)	Loss 1.8141 (2.1702)	Prec@1 55.078 (44.995)	Prec@5 85.156 (76.228)
Test: [100/143]	Time 0.066 (0.184)	Loss 1.9545 (2.1708)	Prec@1 54.297 (44.903)	Prec@5 83.984 (76.280)
Test: [110/143]	Time 0.165 (0.184)	Loss 1.9870 (2.1655)	Prec@1 48.828 (45.168)	Prec@5 76.953 (76.376)
Test: [120/143]	Time 0.070 (0.182)	Loss 1.8089 (2.1545)	Prec@1 55.859 (45.467)	Prec@5 85.156 (76.579)
Test: [130/143]	Time 0.066 (0.182)	Loss 1.6022 (2.1638)	Prec@1 65.234 (45.339)	Prec@5 81.250 (76.327)
Test: [140/143]	Time 0.187 (0.181)	Loss 3.2008 (2.1863)	Prec@1 19.922 (44.817)	Prec@5 57.422 (75.920)
 * Prec@1 44.827 Prec@5 75.937
Epoch: [62][0/7045]	Time 2.765 (2.765)	Data 2.706 (2.706)	Loss 2.8312 (2.8312)	Prec@1 33.594 (33.594)	Prec@5 61.719 (61.719)
Epoch: [62][10/7045]	Time 0.113 (0.447)	Data 0.054 (0.371)	Loss 2.8227 (2.7891)	Prec@1 33.594 (33.665)	Prec@5 65.625 (63.317)
Epoch: [62][20/7045]	Time 0.525 (0.375)	Data 0.473 (0.303)	Loss 2.6755 (2.7322)	Prec@1 36.719 (34.282)	Prec@5 65.234 (63.951)
Epoch: [62][30/7045]	Time 0.121 (0.335)	Data 0.069 (0.267)	Loss 2.6146 (2.7109)	Prec@1 36.719 (34.841)	Prec@5 66.797 (64.907)
Epoch: [62][40/7045]	Time 0.272 (0.324)	Data 0.222 (0.259)	Loss 2.7501 (2.6996)	Prec@1 33.203 (35.280)	Prec@5 62.500 (64.872)
Epoch: [62][50/7045]	Time 0.291 (0.312)	Data 0.231 (0.248)	Loss 2.1311 (2.6961)	Prec@1 46.875 (35.555)	Prec@5 75.781 (65.112)
Epoch: [62][60/7045]	Time 0.102 (0.300)	Data 0.001 (0.235)	Loss 3.0064 (2.7071)	Prec@1 31.250 (35.272)	Prec@5 60.156 (64.921)
Epoch: [62][70/7045]	Time 0.177 (0.299)	Data 0.125 (0.233)	Loss 2.6703 (2.7132)	Prec@1 32.812 (35.140)	Prec@5 69.531 (64.992)
Epoch: [62][80/7045]	Time 0.524 (0.296)	Data 0.474 (0.232)	Loss 2.7926 (2.7132)	Prec@1 32.812 (35.229)	Prec@5 64.844 (65.128)
Epoch: [62][90/7045]	Time 0.404 (0.293)	Data 0.353 (0.229)	Loss 2.6228 (2.7186)	Prec@1 38.672 (35.255)	Prec@5 65.234 (64.921)
Epoch: [62][100/7045]	Time 0.101 (0.287)	Data 0.001 (0.223)	Loss 2.7948 (2.7162)	Prec@1 35.938 (35.415)	Prec@5 63.672 (64.906)
Epoch: [62][110/7045]	Time 0.298 (0.285)	Data 0.246 (0.222)	Loss 2.5915 (2.7061)	Prec@1 38.281 (35.656)	Prec@5 67.188 (65.104)
Epoch: [62][120/7045]	Time 0.213 (0.284)	Data 0.161 (0.221)	Loss 2.5660 (2.7018)	Prec@1 34.766 (35.682)	Prec@5 69.531 (65.189)
Epoch: [62][130/7045]	Time 0.102 (0.281)	Data 0.001 (0.218)	Loss 2.7860 (2.7037)	Prec@1 35.938 (35.645)	Prec@5 62.891 (65.196)
Epoch: [62][140/7045]	Time 0.108 (0.279)	Data 0.008 (0.216)	Loss 2.7882 (2.7071)	Prec@1 36.328 (35.602)	Prec@5 65.234 (65.124)
Epoch: [62][150/7045]	Time 0.556 (0.280)	Data 0.505 (0.216)	Loss 2.6889 (2.7053)	Prec@1 36.719 (35.562)	Prec@5 67.188 (65.167)
Epoch: [62][160/7045]	Time 0.226 (0.278)	Data 0.175 (0.214)	Loss 2.7575 (2.7005)	Prec@1 38.281 (35.692)	Prec@5 63.281 (65.230)
Epoch: [62][170/7045]	Time 0.103 (0.276)	Data 0.001 (0.212)	Loss 2.9042 (2.7002)	Prec@1 31.250 (35.647)	Prec@5 62.109 (65.216)
Epoch: [62][180/7045]	Time 0.102 (0.277)	Data 0.001 (0.213)	Loss 2.5685 (2.6981)	Prec@1 33.984 (35.655)	Prec@5 65.625 (65.286)
Epoch: [62][190/7045]	Time 0.515 (0.276)	Data 0.464 (0.212)	Loss 2.6847 (2.6969)	Prec@1 34.375 (35.641)	Prec@5 70.703 (65.347)
Epoch: [62][200/7045]	Time 0.415 (0.276)	Data 0.364 (0.212)	Loss 2.7715 (2.6938)	Prec@1 37.500 (35.689)	Prec@5 66.406 (65.421)
Epoch: [62][210/7045]	Time 0.102 (0.274)	Data 0.001 (0.210)	Loss 2.5861 (2.6925)	Prec@1 35.156 (35.708)	Prec@5 64.844 (65.440)
Epoch: [62][220/7045]	Time 0.279 (0.274)	Data 0.229 (0.210)	Loss 2.4484 (2.6913)	Prec@1 38.672 (35.750)	Prec@5 68.359 (65.445)
Epoch: [62][230/7045]	Time 0.109 (0.274)	Data 0.001 (0.211)	Loss 2.7492 (2.6911)	Prec@1 31.641 (35.731)	Prec@5 62.891 (65.454)
Epoch: [62][240/7045]	Time 0.396 (0.274)	Data 0.345 (0.210)	Loss 2.5426 (2.6896)	Prec@1 37.500 (35.759)	Prec@5 69.141 (65.482)
Epoch: [62][250/7045]	Time 0.101 (0.272)	Data 0.001 (0.208)	Loss 2.5607 (2.6876)	Prec@1 39.453 (35.794)	Prec@5 69.141 (65.564)
Epoch: [62][260/7045]	Time 0.221 (0.272)	Data 0.170 (0.208)	Loss 2.7669 (2.6877)	Prec@1 31.641 (35.759)	Prec@5 66.406 (65.565)
Epoch: [62][270/7045]	Time 0.426 (0.272)	Data 0.375 (0.208)	Loss 2.7199 (2.6880)	Prec@1 33.984 (35.778)	Prec@5 65.234 (65.527)
Epoch: [62][280/7045]	Time 0.376 (0.272)	Data 0.317 (0.208)	Loss 2.7339 (2.6862)	Prec@1 33.984 (35.761)	Prec@5 65.234 (65.567)
Epoch: [62][290/7045]	Time 0.122 (0.272)	Data 0.070 (0.208)	Loss 2.8433 (2.6859)	Prec@1 34.375 (35.794)	Prec@5 64.062 (65.602)
Epoch: [62][300/7045]	Time 0.437 (0.272)	Data 0.385 (0.208)	Loss 2.4812 (2.6847)	Prec@1 37.891 (35.799)	Prec@5 70.703 (65.646)
Epoch: [62][310/7045]	Time 0.101 (0.272)	Data 0.001 (0.207)	Loss 2.7634 (2.6854)	Prec@1 37.109 (35.812)	Prec@5 62.500 (65.614)
Epoch: [62][320/7045]	Time 0.147 (0.270)	Data 0.096 (0.206)	Loss 2.3786 (2.6822)	Prec@1 43.359 (35.864)	Prec@5 70.312 (65.669)
Epoch: [62][330/7045]	Time 0.204 (0.272)	Data 0.145 (0.206)	Loss 2.7302 (2.6822)	Prec@1 34.766 (35.860)	Prec@5 64.062 (65.660)
Epoch: [62][340/7045]	Time 0.100 (0.270)	Data 0.011 (0.205)	Loss 2.7082 (2.6826)	Prec@1 32.422 (35.856)	Prec@5 66.016 (65.649)
Epoch: [62][350/7045]	Time 0.734 (0.272)	Data 0.684 (0.207)	Loss 2.8266 (2.6836)	Prec@1 35.156 (35.830)	Prec@5 63.672 (65.625)
Epoch: [62][360/7045]	Time 0.264 (0.271)	Data 0.213 (0.206)	Loss 2.5728 (2.6819)	Prec@1 35.938 (35.877)	Prec@5 67.578 (65.679)
Epoch: [62][370/7045]	Time 0.296 (0.271)	Data 0.246 (0.206)	Loss 2.8816 (2.6814)	Prec@1 32.812 (35.872)	Prec@5 66.406 (65.710)
Epoch: [62][380/7045]	Time 0.497 (0.271)	Data 0.446 (0.206)	Loss 2.7818 (2.6802)	Prec@1 36.328 (35.906)	Prec@5 65.234 (65.735)
Epoch: [62][390/7045]	Time 0.117 (0.271)	Data 0.067 (0.206)	Loss 2.4471 (2.6798)	Prec@1 39.453 (35.919)	Prec@5 73.438 (65.732)
Epoch: [62][400/7045]	Time 0.245 (0.271)	Data 0.193 (0.206)	Loss 2.7344 (2.6797)	Prec@1 38.281 (35.951)	Prec@5 64.844 (65.727)
Epoch: [62][410/7045]	Time 0.127 (0.271)	Data 0.077 (0.207)	Loss 2.6511 (2.6792)	Prec@1 33.203 (35.939)	Prec@5 69.531 (65.759)
Epoch: [62][420/7045]	Time 0.172 (0.271)	Data 0.121 (0.206)	Loss 2.6496 (2.6797)	Prec@1 36.328 (35.941)	Prec@5 64.453 (65.734)
Epoch: [62][430/7045]	Time 0.205 (0.270)	Data 0.154 (0.206)	Loss 2.4112 (2.6777)	Prec@1 42.578 (36.004)	Prec@5 71.484 (65.774)
Epoch: [62][440/7045]	Time 0.105 (0.271)	Data 0.053 (0.206)	Loss 2.5523 (2.6776)	Prec@1 37.891 (35.999)	Prec@5 70.312 (65.795)
Epoch: [62][450/7045]	Time 0.157 (0.270)	Data 0.106 (0.206)	Loss 2.7581 (2.6781)	Prec@1 35.938 (36.008)	Prec@5 62.109 (65.787)
Epoch: [62][460/7045]	Time 0.101 (0.269)	Data 0.046 (0.205)	Loss 2.5943 (2.6784)	Prec@1 38.281 (35.998)	Prec@5 70.312 (65.805)
Epoch: [62][470/7045]	Time 0.221 (0.269)	Data 0.169 (0.205)	Loss 2.9079 (2.6795)	Prec@1 35.156 (35.986)	Prec@5 62.891 (65.798)
Epoch: [62][480/7045]	Time 0.102 (0.269)	Data 0.017 (0.205)	Loss 2.6964 (2.6799)	Prec@1 38.672 (35.998)	Prec@5 64.453 (65.777)
Epoch: [62][490/7045]	Time 0.102 (0.269)	Data 0.004 (0.205)	Loss 2.8464 (2.6797)	Prec@1 33.594 (36.028)	Prec@5 62.891 (65.775)
Epoch: [62][500/7045]	Time 0.100 (0.269)	Data 0.001 (0.205)	Loss 2.6261 (2.6792)	Prec@1 36.328 (36.057)	Prec@5 66.016 (65.782)
Epoch: [62][510/7045]	Time 0.181 (0.268)	Data 0.129 (0.204)	Loss 2.6246 (2.6790)	Prec@1 36.719 (36.068)	Prec@5 63.672 (65.769)
Epoch: [62][520/7045]	Time 0.143 (0.268)	Data 0.091 (0.205)	Loss 2.6890 (2.6794)	Prec@1 35.938 (36.060)	Prec@5 64.844 (65.763)
Epoch: [62][530/7045]	Time 0.123 (0.268)	Data 0.070 (0.204)	Loss 2.5020 (2.6790)	Prec@1 40.234 (36.085)	Prec@5 66.406 (65.744)
Epoch: [62][540/7045]	Time 0.101 (0.269)	Data 0.001 (0.205)	Loss 2.8974 (2.6797)	Prec@1 35.938 (36.083)	Prec@5 61.719 (65.733)
Epoch: [62][550/7045]	Time 0.101 (0.268)	Data 0.001 (0.204)	Loss 2.6924 (2.6798)	Prec@1 33.984 (36.061)	Prec@5 64.453 (65.733)
Epoch: [62][560/7045]	Time 0.498 (0.268)	Data 0.447 (0.204)	Loss 2.7744 (2.6810)	Prec@1 35.547 (36.044)	Prec@5 60.547 (65.702)
Epoch: [62][570/7045]	Time 0.103 (0.268)	Data 0.001 (0.204)	Loss 2.7782 (2.6809)	Prec@1 31.250 (36.049)	Prec@5 62.891 (65.693)
Epoch: [62][580/7045]	Time 0.515 (0.268)	Data 0.463 (0.204)	Loss 2.6579 (2.6816)	Prec@1 34.375 (36.028)	Prec@5 62.891 (65.676)
Epoch: [62][590/7045]	Time 0.125 (0.268)	Data 0.065 (0.204)	Loss 2.7758 (2.6821)	Prec@1 35.547 (36.004)	Prec@5 64.062 (65.657)
Epoch: [62][600/7045]	Time 0.291 (0.268)	Data 0.240 (0.204)	Loss 2.6517 (2.6827)	Prec@1 34.766 (36.014)	Prec@5 66.797 (65.652)
Epoch: [62][610/7045]	Time 0.105 (0.267)	Data 0.053 (0.204)	Loss 2.6704 (2.6828)	Prec@1 35.547 (36.001)	Prec@5 69.141 (65.652)
Epoch: [62][620/7045]	Time 0.229 (0.268)	Data 0.179 (0.204)	Loss 2.7388 (2.6834)	Prec@1 34.375 (36.005)	Prec@5 63.281 (65.627)
Epoch: [62][630/7045]	Time 0.279 (0.267)	Data 0.229 (0.204)	Loss 2.8558 (2.6838)	Prec@1 32.812 (36.001)	Prec@5 63.672 (65.616)
Epoch: [62][640/7045]	Time 0.102 (0.267)	Data 0.001 (0.204)	Loss 2.7876 (2.6837)	Prec@1 32.812 (35.992)	Prec@5 64.844 (65.633)
Epoch: [62][650/7045]	Time 0.400 (0.267)	Data 0.343 (0.204)	Loss 2.7564 (2.6845)	Prec@1 29.688 (35.965)	Prec@5 63.672 (65.612)
Epoch: [62][660/7045]	Time 0.101 (0.267)	Data 0.001 (0.204)	Loss 2.7331 (2.6852)	Prec@1 33.984 (35.938)	Prec@5 66.797 (65.604)
Epoch: [62][670/7045]	Time 0.671 (0.267)	Data 0.620 (0.204)	Loss 2.5429 (2.6853)	Prec@1 42.188 (35.950)	Prec@5 69.922 (65.591)
Epoch: [62][680/7045]	Time 0.203 (0.267)	Data 0.151 (0.204)	Loss 2.4549 (2.6846)	Prec@1 41.797 (35.964)	Prec@5 72.656 (65.608)
Epoch: [62][690/7045]	Time 0.444 (0.267)	Data 0.393 (0.204)	Loss 2.7587 (2.6846)	Prec@1 31.641 (35.951)	Prec@5 63.281 (65.605)
Epoch: [62][700/7045]	Time 0.102 (0.267)	Data 0.001 (0.204)	Loss 2.6088 (2.6853)	Prec@1 39.844 (35.944)	Prec@5 69.141 (65.588)
Epoch: [62][710/7045]	Time 0.103 (0.267)	Data 0.001 (0.203)	Loss 2.4151 (2.6844)	Prec@1 40.234 (35.947)	Prec@5 73.438 (65.620)
Epoch: [62][720/7045]	Time 0.101 (0.266)	Data 0.011 (0.203)	Loss 2.7983 (2.6839)	Prec@1 27.734 (35.945)	Prec@5 65.234 (65.623)
Epoch: [62][730/7045]	Time 0.449 (0.267)	Data 0.398 (0.204)	Loss 2.5529 (2.6830)	Prec@1 37.500 (35.959)	Prec@5 67.578 (65.626)
Epoch: [62][740/7045]	Time 0.102 (0.266)	Data 0.012 (0.203)	Loss 2.3954 (2.6832)	Prec@1 39.453 (35.952)	Prec@5 72.266 (65.617)
Epoch: [62][750/7045]	Time 0.281 (0.267)	Data 0.229 (0.203)	Loss 2.8002 (2.6827)	Prec@1 39.453 (35.959)	Prec@5 64.062 (65.622)
Epoch: [62][760/7045]	Time 0.291 (0.266)	Data 0.240 (0.203)	Loss 2.3954 (2.6820)	Prec@1 42.969 (35.974)	Prec@5 68.359 (65.633)
Epoch: [62][770/7045]	Time 0.107 (0.266)	Data 0.054 (0.204)	Loss 2.5877 (2.6817)	Prec@1 36.328 (35.984)	Prec@5 70.703 (65.645)
Epoch: [62][780/7045]	Time 0.598 (0.267)	Data 0.548 (0.204)	Loss 2.9218 (2.6823)	Prec@1 34.766 (35.978)	Prec@5 60.547 (65.635)
Epoch: [62][790/7045]	Time 0.100 (0.266)	Data 0.001 (0.203)	Loss 2.6213 (2.6824)	Prec@1 30.469 (35.960)	Prec@5 67.188 (65.628)
Epoch: [62][800/7045]	Time 0.660 (0.267)	Data 0.607 (0.203)	Loss 2.6605 (2.6811)	Prec@1 37.891 (35.991)	Prec@5 65.234 (65.654)
Epoch: [62][810/7045]	Time 0.101 (0.266)	Data 0.001 (0.203)	Loss 2.6301 (2.6810)	Prec@1 37.109 (35.986)	Prec@5 62.891 (65.669)
Epoch: [62][820/7045]	Time 0.260 (0.266)	Data 0.209 (0.203)	Loss 2.6497 (2.6803)	Prec@1 38.281 (36.003)	Prec@5 67.188 (65.689)
Epoch: [62][830/7045]	Time 0.107 (0.266)	Data 0.055 (0.202)	Loss 2.4859 (2.6796)	Prec@1 38.672 (36.027)	Prec@5 70.312 (65.703)
Epoch: [62][840/7045]	Time 0.102 (0.266)	Data 0.005 (0.202)	Loss 2.8705 (2.6799)	Prec@1 28.516 (36.025)	Prec@5 64.453 (65.710)
Epoch: [62][850/7045]	Time 0.101 (0.266)	Data 0.012 (0.202)	Loss 2.7195 (2.6795)	Prec@1 36.719 (36.023)	Prec@5 63.672 (65.720)
Epoch: [62][860/7045]	Time 0.897 (0.266)	Data 0.846 (0.203)	Loss 2.6624 (2.6789)	Prec@1 36.719 (36.039)	Prec@5 66.797 (65.736)
Epoch: [62][870/7045]	Time 0.102 (0.265)	Data 0.013 (0.202)	Loss 2.7219 (2.6799)	Prec@1 38.281 (36.023)	Prec@5 66.406 (65.720)
Epoch: [62][880/7045]	Time 0.484 (0.265)	Data 0.434 (0.202)	Loss 2.8501 (2.6796)	Prec@1 30.469 (36.031)	Prec@5 62.500 (65.730)
Epoch: [62][890/7045]	Time 0.100 (0.265)	Data 0.046 (0.202)	Loss 2.6495 (2.6795)	Prec@1 32.812 (36.023)	Prec@5 67.578 (65.746)
Epoch: [62][900/7045]	Time 0.107 (0.265)	Data 0.054 (0.202)	Loss 2.7802 (2.6802)	Prec@1 32.812 (36.020)	Prec@5 62.109 (65.729)
Epoch: [62][910/7045]	Time 0.102 (0.265)	Data 0.001 (0.202)	Loss 2.7255 (2.6803)	Prec@1 33.984 (36.016)	Prec@5 64.453 (65.728)
Epoch: [62][920/7045]	Time 0.158 (0.265)	Data 0.108 (0.202)	Loss 2.6366 (2.6803)	Prec@1 35.156 (36.013)	Prec@5 64.844 (65.729)
Epoch: [62][930/7045]	Time 0.113 (0.265)	Data 0.061 (0.201)	Loss 2.7146 (2.6798)	Prec@1 36.328 (36.016)	Prec@5 66.797 (65.745)
Epoch: [62][940/7045]	Time 0.501 (0.265)	Data 0.450 (0.202)	Loss 2.8607 (2.6794)	Prec@1 32.031 (36.008)	Prec@5 60.156 (65.749)
Epoch: [62][950/7045]	Time 0.367 (0.265)	Data 0.314 (0.202)	Loss 2.6664 (2.6795)	Prec@1 35.547 (36.014)	Prec@5 69.531 (65.741)
Epoch: [62][960/7045]	Time 0.439 (0.265)	Data 0.389 (0.202)	Loss 2.8679 (2.6794)	Prec@1 33.594 (36.018)	Prec@5 60.156 (65.742)
Epoch: [62][970/7045]	Time 0.177 (0.265)	Data 0.126 (0.201)	Loss 2.8325 (2.6794)	Prec@1 32.031 (36.015)	Prec@5 62.109 (65.749)
Epoch: [62][980/7045]	Time 0.763 (0.265)	Data 0.706 (0.202)	Loss 2.6403 (2.6793)	Prec@1 36.328 (36.016)	Prec@5 66.797 (65.746)
Epoch: [62][990/7045]	Time 0.102 (0.264)	Data 0.004 (0.201)	Loss 2.8368 (2.6801)	Prec@1 33.203 (36.006)	Prec@5 62.109 (65.721)
Epoch: [62][1000/7045]	Time 0.646 (0.265)	Data 0.595 (0.201)	Loss 2.7751 (2.6804)	Prec@1 36.328 (35.995)	Prec@5 62.891 (65.715)
Epoch: [62][1010/7045]	Time 0.113 (0.264)	Data 0.015 (0.201)	Loss 2.8338 (2.6808)	Prec@1 34.766 (35.989)	Prec@5 64.062 (65.713)
Epoch: [62][1020/7045]	Time 0.443 (0.264)	Data 0.391 (0.201)	Loss 2.4910 (2.6805)	Prec@1 41.406 (35.991)	Prec@5 71.484 (65.729)
Epoch: [62][1030/7045]	Time 0.297 (0.264)	Data 0.246 (0.201)	Loss 2.6240 (2.6807)	Prec@1 35.547 (35.992)	Prec@5 66.797 (65.735)
Epoch: [62][1040/7045]	Time 0.162 (0.264)	Data 0.112 (0.200)	Loss 2.8652 (2.6806)	Prec@1 35.938 (36.000)	Prec@5 64.453 (65.732)
Epoch: [62][1050/7045]	Time 0.178 (0.264)	Data 0.120 (0.200)	Loss 2.8117 (2.6806)	Prec@1 33.203 (35.996)	Prec@5 66.797 (65.730)
Epoch: [62][1060/7045]	Time 0.102 (0.264)	Data 0.001 (0.200)	Loss 2.8197 (2.6803)	Prec@1 28.906 (35.989)	Prec@5 60.547 (65.740)
Epoch: [62][1070/7045]	Time 0.101 (0.264)	Data 0.001 (0.200)	Loss 2.3861 (2.6796)	Prec@1 42.578 (36.000)	Prec@5 72.266 (65.750)
Epoch: [62][1080/7045]	Time 0.160 (0.264)	Data 0.109 (0.200)	Loss 2.5645 (2.6798)	Prec@1 33.203 (35.994)	Prec@5 64.844 (65.739)
Epoch: [62][1090/7045]	Time 0.362 (0.264)	Data 0.312 (0.200)	Loss 2.4570 (2.6792)	Prec@1 41.406 (35.999)	Prec@5 71.484 (65.744)
Epoch: [62][1100/7045]	Time 0.155 (0.264)	Data 0.104 (0.200)	Loss 2.7140 (2.6788)	Prec@1 32.812 (36.005)	Prec@5 66.406 (65.751)
Epoch: [62][1110/7045]	Time 0.526 (0.264)	Data 0.475 (0.200)	Loss 2.6356 (2.6789)	Prec@1 32.422 (35.999)	Prec@5 69.531 (65.749)
Epoch: [62][1120/7045]	Time 0.117 (0.264)	Data 0.065 (0.200)	Loss 2.8394 (2.6790)	Prec@1 27.734 (35.998)	Prec@5 60.938 (65.747)
Epoch: [62][1130/7045]	Time 0.521 (0.264)	Data 0.469 (0.200)	Loss 2.5798 (2.6795)	Prec@1 36.719 (35.986)	Prec@5 69.531 (65.748)
Epoch: [62][1140/7045]	Time 0.109 (0.263)	Data 0.057 (0.200)	Loss 2.6652 (2.6797)	Prec@1 33.984 (35.990)	Prec@5 66.016 (65.746)
Epoch: [62][1150/7045]	Time 0.301 (0.264)	Data 0.243 (0.200)	Loss 2.7581 (2.6800)	Prec@1 32.031 (35.988)	Prec@5 64.453 (65.739)
Epoch: [62][1160/7045]	Time 0.172 (0.263)	Data 0.120 (0.200)	Loss 2.6962 (2.6800)	Prec@1 33.594 (35.983)	Prec@5 69.922 (65.742)
Epoch: [62][1170/7045]	Time 0.193 (0.263)	Data 0.131 (0.200)	Loss 2.7163 (2.6801)	Prec@1 37.891 (35.984)	Prec@5 64.062 (65.741)
Epoch: [62][1180/7045]	Time 0.157 (0.263)	Data 0.107 (0.200)	Loss 2.5298 (2.6806)	Prec@1 41.016 (35.980)	Prec@5 68.750 (65.728)
Epoch: [62][1190/7045]	Time 0.221 (0.263)	Data 0.169 (0.200)	Loss 2.7670 (2.6807)	Prec@1 36.719 (35.980)	Prec@5 62.500 (65.716)
Epoch: [62][1200/7045]	Time 0.198 (0.263)	Data 0.146 (0.199)	Loss 2.6222 (2.6809)	Prec@1 33.594 (35.967)	Prec@5 68.750 (65.712)
Epoch: [62][1210/7045]	Time 0.111 (0.263)	Data 0.059 (0.200)	Loss 2.7038 (2.6808)	Prec@1 33.203 (35.965)	Prec@5 66.016 (65.702)
Epoch: [62][1220/7045]	Time 0.103 (0.263)	Data 0.001 (0.199)	Loss 2.6349 (2.6804)	Prec@1 33.984 (35.973)	Prec@5 66.406 (65.716)
Epoch: [62][1230/7045]	Time 0.447 (0.263)	Data 0.395 (0.200)	Loss 2.7507 (2.6808)	Prec@1 35.547 (35.960)	Prec@5 64.844 (65.702)
Epoch: [62][1240/7045]	Time 0.102 (0.263)	Data 0.001 (0.199)	Loss 2.7168 (2.6804)	Prec@1 37.109 (35.964)	Prec@5 66.406 (65.710)
Epoch: [62][1250/7045]	Time 0.340 (0.263)	Data 0.289 (0.199)	Loss 2.5901 (2.6798)	Prec@1 37.109 (35.970)	Prec@5 68.359 (65.716)
Epoch: [62][1260/7045]	Time 0.367 (0.263)	Data 0.316 (0.199)	Loss 2.4549 (2.6789)	Prec@1 39.453 (35.979)	Prec@5 69.922 (65.732)
Epoch: [62][1270/7045]	Time 0.684 (0.263)	Data 0.626 (0.199)	Loss 2.6151 (2.6788)	Prec@1 35.938 (35.982)	Prec@5 67.578 (65.740)
Epoch: [62][1280/7045]	Time 0.111 (0.262)	Data 0.061 (0.199)	Loss 2.6433 (2.6791)	Prec@1 31.250 (35.976)	Prec@5 65.234 (65.736)
Epoch: [62][1290/7045]	Time 0.404 (0.262)	Data 0.353 (0.199)	Loss 2.5093 (2.6789)	Prec@1 37.500 (35.980)	Prec@5 68.359 (65.735)
Epoch: [62][1300/7045]	Time 0.102 (0.262)	Data 0.001 (0.198)	Loss 2.5992 (2.6791)	Prec@1 36.328 (35.970)	Prec@5 67.188 (65.735)
Epoch: [62][1310/7045]	Time 0.258 (0.262)	Data 0.207 (0.198)	Loss 2.6471 (2.6790)	Prec@1 37.109 (35.966)	Prec@5 65.234 (65.736)
Epoch: [62][1320/7045]	Time 0.101 (0.262)	Data 0.001 (0.198)	Loss 2.7217 (2.6791)	Prec@1 37.109 (35.968)	Prec@5 65.234 (65.743)
Epoch: [62][1330/7045]	Time 0.344 (0.262)	Data 0.294 (0.198)	Loss 2.5794 (2.6789)	Prec@1 35.547 (35.972)	Prec@5 69.141 (65.746)
Epoch: [62][1340/7045]	Time 0.109 (0.262)	Data 0.001 (0.198)	Loss 2.5223 (2.6790)	Prec@1 41.016 (35.972)	Prec@5 70.312 (65.749)
Epoch: [62][1350/7045]	Time 0.470 (0.262)	Data 0.410 (0.198)	Loss 2.6623 (2.6788)	Prec@1 33.984 (35.981)	Prec@5 66.016 (65.753)
Epoch: [62][1360/7045]	Time 0.099 (0.262)	Data 0.001 (0.198)	Loss 2.7372 (2.6785)	Prec@1 33.203 (35.987)	Prec@5 67.188 (65.760)
Epoch: [62][1370/7045]	Time 0.636 (0.262)	Data 0.584 (0.198)	Loss 2.7699 (2.6784)	Prec@1 30.469 (35.980)	Prec@5 62.500 (65.758)
Epoch: [62][1380/7045]	Time 0.105 (0.262)	Data 0.053 (0.197)	Loss 2.6439 (2.6783)	Prec@1 32.031 (35.983)	Prec@5 67.578 (65.766)
Epoch: [62][1390/7045]	Time 0.514 (0.262)	Data 0.457 (0.197)	Loss 2.5766 (2.6789)	Prec@1 37.109 (35.969)	Prec@5 67.969 (65.751)
Epoch: [62][1400/7045]	Time 0.246 (0.261)	Data 0.195 (0.197)	Loss 2.7498 (2.6791)	Prec@1 33.203 (35.967)	Prec@5 66.406 (65.749)
Epoch: [62][1410/7045]	Time 0.432 (0.261)	Data 0.379 (0.197)	Loss 2.5931 (2.6790)	Prec@1 38.281 (35.975)	Prec@5 66.016 (65.747)
Epoch: [62][1420/7045]	Time 0.236 (0.261)	Data 0.183 (0.197)	Loss 2.7986 (2.6791)	Prec@1 32.422 (35.975)	Prec@5 62.891 (65.744)
Epoch: [62][1430/7045]	Time 0.111 (0.261)	Data 0.001 (0.197)	Loss 2.7360 (2.6793)	Prec@1 29.688 (35.972)	Prec@5 67.188 (65.740)
Epoch: [62][1440/7045]	Time 0.468 (0.261)	Data 0.416 (0.197)	Loss 2.8056 (2.6797)	Prec@1 30.859 (35.972)	Prec@5 61.328 (65.731)
Epoch: [62][1450/7045]	Time 0.244 (0.261)	Data 0.193 (0.197)	Loss 2.7546 (2.6805)	Prec@1 33.594 (35.954)	Prec@5 64.844 (65.720)
Epoch: [62][1460/7045]	Time 0.102 (0.261)	Data 0.001 (0.197)	Loss 2.4801 (2.6797)	Prec@1 39.453 (35.966)	Prec@5 69.531 (65.731)
Epoch: [62][1470/7045]	Time 0.132 (0.261)	Data 0.081 (0.197)	Loss 2.6383 (2.6795)	Prec@1 39.062 (35.971)	Prec@5 66.406 (65.735)
Epoch: [62][1480/7045]	Time 0.422 (0.261)	Data 0.371 (0.197)	Loss 2.7022 (2.6799)	Prec@1 32.031 (35.961)	Prec@5 61.328 (65.732)
Epoch: [62][1490/7045]	Time 0.193 (0.261)	Data 0.141 (0.197)	Loss 2.9121 (2.6804)	Prec@1 33.984 (35.957)	Prec@5 64.062 (65.723)
Epoch: [62][1500/7045]	Time 0.468 (0.261)	Data 0.410 (0.197)	Loss 2.7430 (2.6807)	Prec@1 38.672 (35.955)	Prec@5 63.281 (65.712)
Epoch: [62][1510/7045]	Time 0.459 (0.261)	Data 0.397 (0.197)	Loss 2.5331 (2.6804)	Prec@1 35.938 (35.961)	Prec@5 71.094 (65.723)
Epoch: [62][1520/7045]	Time 0.111 (0.261)	Data 0.059 (0.197)	Loss 2.4073 (2.6801)	Prec@1 42.969 (35.970)	Prec@5 67.969 (65.726)
Epoch: [62][1530/7045]	Time 0.578 (0.261)	Data 0.526 (0.197)	Loss 2.7219 (2.6801)	Prec@1 35.938 (35.972)	Prec@5 63.281 (65.720)
Epoch: [62][1540/7045]	Time 0.103 (0.261)	Data 0.001 (0.197)	Loss 2.5859 (2.6797)	Prec@1 38.672 (35.969)	Prec@5 69.531 (65.727)
Epoch: [62][1550/7045]	Time 0.506 (0.261)	Data 0.456 (0.197)	Loss 2.4286 (2.6798)	Prec@1 37.891 (35.972)	Prec@5 69.922 (65.727)
Epoch: [62][1560/7045]	Time 0.112 (0.261)	Data 0.049 (0.197)	Loss 2.8500 (2.6798)	Prec@1 28.125 (35.966)	Prec@5 62.500 (65.724)
Epoch: [62][1570/7045]	Time 0.410 (0.261)	Data 0.359 (0.197)	Loss 2.7148 (2.6798)	Prec@1 37.109 (35.975)	Prec@5 62.891 (65.723)
Epoch: [62][1580/7045]	Time 0.101 (0.261)	Data 0.009 (0.197)	Loss 2.3945 (2.6796)	Prec@1 42.188 (35.977)	Prec@5 73.047 (65.734)
Epoch: [62][1590/7045]	Time 0.295 (0.261)	Data 0.244 (0.197)	Loss 2.8832 (2.6799)	Prec@1 29.297 (35.970)	Prec@5 62.891 (65.727)
Epoch: [62][1600/7045]	Time 0.209 (0.260)	Data 0.158 (0.197)	Loss 2.5227 (2.6799)	Prec@1 39.453 (35.969)	Prec@5 66.016 (65.724)
Epoch: [62][1610/7045]	Time 0.472 (0.261)	Data 0.420 (0.197)	Loss 2.4824 (2.6795)	Prec@1 38.281 (35.978)	Prec@5 70.312 (65.730)
Epoch: [62][1620/7045]	Time 0.102 (0.261)	Data 0.015 (0.197)	Loss 2.6004 (2.6794)	Prec@1 39.453 (35.973)	Prec@5 65.625 (65.737)
Epoch: [62][1630/7045]	Time 0.573 (0.261)	Data 0.522 (0.197)	Loss 2.5949 (2.6790)	Prec@1 37.891 (35.973)	Prec@5 70.703 (65.755)
Epoch: [62][1640/7045]	Time 0.102 (0.261)	Data 0.001 (0.197)	Loss 2.5969 (2.6794)	Prec@1 37.500 (35.969)	Prec@5 69.141 (65.745)
Epoch: [62][1650/7045]	Time 0.588 (0.261)	Data 0.538 (0.196)	Loss 3.0773 (2.6795)	Prec@1 30.859 (35.965)	Prec@5 58.984 (65.740)
Epoch: [62][1660/7045]	Time 0.108 (0.260)	Data 0.049 (0.196)	Loss 2.7045 (2.6796)	Prec@1 38.281 (35.965)	Prec@5 64.062 (65.744)
Epoch: [62][1670/7045]	Time 0.293 (0.261)	Data 0.242 (0.196)	Loss 2.7562 (2.6793)	Prec@1 30.469 (35.966)	Prec@5 66.406 (65.748)
Epoch: [62][1680/7045]	Time 0.329 (0.261)	Data 0.277 (0.196)	Loss 2.7411 (2.6790)	Prec@1 35.156 (35.969)	Prec@5 67.578 (65.761)
Epoch: [62][1690/7045]	Time 0.247 (0.261)	Data 0.196 (0.197)	Loss 2.5102 (2.6792)	Prec@1 37.500 (35.976)	Prec@5 69.922 (65.758)
Epoch: [62][1700/7045]	Time 0.101 (0.261)	Data 0.001 (0.197)	Loss 2.9121 (2.6794)	Prec@1 30.469 (35.969)	Prec@5 62.891 (65.753)
Epoch: [62][1710/7045]	Time 0.102 (0.260)	Data 0.049 (0.196)	Loss 2.5876 (2.6794)	Prec@1 35.938 (35.968)	Prec@5 69.922 (65.748)
Epoch: [62][1720/7045]	Time 0.265 (0.260)	Data 0.213 (0.196)	Loss 2.7647 (2.6792)	Prec@1 33.984 (35.974)	Prec@5 62.891 (65.754)
Epoch: [62][1730/7045]	Time 0.108 (0.260)	Data 0.007 (0.196)	Loss 2.8648 (2.6790)	Prec@1 34.375 (35.978)	Prec@5 62.891 (65.758)
Epoch: [62][1740/7045]	Time 0.507 (0.260)	Data 0.455 (0.196)	Loss 2.6744 (2.6791)	Prec@1 33.594 (35.979)	Prec@5 61.719 (65.749)
Epoch: [62][1750/7045]	Time 0.108 (0.260)	Data 0.057 (0.196)	Loss 2.6190 (2.6790)	Prec@1 36.328 (35.984)	Prec@5 68.359 (65.753)
Epoch: [62][1760/7045]	Time 0.591 (0.260)	Data 0.532 (0.196)	Loss 2.5781 (2.6790)	Prec@1 36.719 (35.983)	Prec@5 63.672 (65.757)
Epoch: [62][1770/7045]	Time 0.102 (0.260)	Data 0.001 (0.196)	Loss 2.5418 (2.6791)	Prec@1 42.969 (35.982)	Prec@5 71.484 (65.760)
Epoch: [62][1780/7045]	Time 0.110 (0.260)	Data 0.060 (0.196)	Loss 2.7488 (2.6794)	Prec@1 34.766 (35.980)	Prec@5 61.328 (65.748)
Epoch: [62][1790/7045]	Time 0.101 (0.260)	Data 0.044 (0.196)	Loss 2.7785 (2.6798)	Prec@1 30.469 (35.970)	Prec@5 66.016 (65.741)
Epoch: [62][1800/7045]	Time 0.277 (0.260)	Data 0.226 (0.196)	Loss 2.6271 (2.6798)	Prec@1 40.625 (35.967)	Prec@5 67.578 (65.738)
Epoch: [62][1810/7045]	Time 0.174 (0.260)	Data 0.124 (0.196)	Loss 2.4774 (2.6796)	Prec@1 36.719 (35.970)	Prec@5 70.312 (65.748)
Epoch: [62][1820/7045]	Time 0.776 (0.260)	Data 0.725 (0.197)	Loss 2.8658 (2.6799)	Prec@1 28.906 (35.961)	Prec@5 63.672 (65.741)
Epoch: [62][1830/7045]	Time 0.102 (0.260)	Data 0.001 (0.196)	Loss 2.4471 (2.6797)	Prec@1 40.625 (35.969)	Prec@5 69.922 (65.745)
Epoch: [62][1840/7045]	Time 0.713 (0.260)	Data 0.662 (0.196)	Loss 2.8273 (2.6799)	Prec@1 30.859 (35.967)	Prec@5 64.062 (65.739)
Epoch: [62][1850/7045]	Time 0.103 (0.260)	Data 0.009 (0.196)	Loss 2.8547 (2.6800)	Prec@1 32.422 (35.962)	Prec@5 61.719 (65.739)
Epoch: [62][1860/7045]	Time 0.250 (0.260)	Data 0.199 (0.196)	Loss 2.5432 (2.6801)	Prec@1 35.938 (35.960)	Prec@5 66.797 (65.736)
Epoch: [62][1870/7045]	Time 0.103 (0.260)	Data 0.050 (0.196)	Loss 2.7228 (2.6800)	Prec@1 34.375 (35.957)	Prec@5 64.062 (65.741)
Epoch: [62][1880/7045]	Time 0.102 (0.260)	Data 0.001 (0.196)	Loss 2.4425 (2.6799)	Prec@1 37.891 (35.959)	Prec@5 69.922 (65.743)
Epoch: [62][1890/7045]	Time 0.105 (0.260)	Data 0.054 (0.196)	Loss 2.7945 (2.6798)	Prec@1 31.641 (35.962)	Prec@5 63.281 (65.745)
Epoch: [62][1900/7045]	Time 0.103 (0.260)	Data 0.001 (0.196)	Loss 2.5892 (2.6799)	Prec@1 34.375 (35.963)	Prec@5 66.016 (65.743)
Epoch: [62][1910/7045]	Time 0.563 (0.260)	Data 0.511 (0.196)	Loss 2.6855 (2.6798)	Prec@1 35.156 (35.964)	Prec@5 64.844 (65.743)
Epoch: [62][1920/7045]	Time 0.209 (0.260)	Data 0.150 (0.196)	Loss 2.6602 (2.6801)	Prec@1 37.109 (35.962)	Prec@5 64.453 (65.734)
Epoch: [62][1930/7045]	Time 0.528 (0.260)	Data 0.477 (0.196)	Loss 2.5672 (2.6802)	Prec@1 41.797 (35.959)	Prec@5 70.312 (65.733)
Epoch: [62][1940/7045]	Time 0.103 (0.260)	Data 0.022 (0.196)	Loss 2.5535 (2.6803)	Prec@1 40.234 (35.957)	Prec@5 67.969 (65.732)
Epoch: [62][1950/7045]	Time 0.101 (0.260)	Data 0.005 (0.196)	Loss 2.7934 (2.6802)	Prec@1 32.812 (35.958)	Prec@5 63.281 (65.734)
Epoch: [62][1960/7045]	Time 0.108 (0.260)	Data 0.014 (0.196)	Loss 2.8935 (2.6803)	Prec@1 28.516 (35.952)	Prec@5 55.469 (65.731)
Epoch: [62][1970/7045]	Time 0.509 (0.260)	Data 0.458 (0.196)	Loss 2.7453 (2.6800)	Prec@1 35.547 (35.952)	Prec@5 64.844 (65.738)
Epoch: [62][1980/7045]	Time 0.102 (0.260)	Data 0.001 (0.196)	Loss 2.7369 (2.6798)	Prec@1 33.984 (35.951)	Prec@5 63.672 (65.738)
Epoch: [62][1990/7045]	Time 0.479 (0.260)	Data 0.427 (0.196)	Loss 2.3681 (2.6800)	Prec@1 44.922 (35.947)	Prec@5 71.484 (65.729)
Epoch: [62][2000/7045]	Time 0.103 (0.260)	Data 0.001 (0.196)	Loss 2.6931 (2.6796)	Prec@1 34.375 (35.948)	Prec@5 64.453 (65.730)
Epoch: [62][2010/7045]	Time 0.101 (0.260)	Data 0.049 (0.195)	Loss 2.6856 (2.6798)	Prec@1 34.766 (35.946)	Prec@5 66.406 (65.727)
Epoch: [62][2020/7045]	Time 0.339 (0.260)	Data 0.287 (0.195)	Loss 2.8371 (2.6798)	Prec@1 33.203 (35.945)	Prec@5 59.375 (65.727)
Epoch: [62][2030/7045]	Time 0.103 (0.260)	Data 0.001 (0.195)	Loss 2.7411 (2.6796)	Prec@1 36.719 (35.955)	Prec@5 65.625 (65.731)
Epoch: [62][2040/7045]	Time 0.298 (0.260)	Data 0.241 (0.195)	Loss 2.5895 (2.6802)	Prec@1 38.281 (35.944)	Prec@5 64.062 (65.722)
Epoch: [62][2050/7045]	Time 0.205 (0.260)	Data 0.154 (0.195)	Loss 2.7741 (2.6803)	Prec@1 34.375 (35.946)	Prec@5 64.062 (65.722)
Epoch: [62][2060/7045]	Time 0.107 (0.260)	Data 0.056 (0.195)	Loss 2.7023 (2.6802)	Prec@1 34.766 (35.947)	Prec@5 65.625 (65.725)
Epoch: [62][2070/7045]	Time 0.168 (0.260)	Data 0.110 (0.195)	Loss 2.7363 (2.6801)	Prec@1 35.547 (35.951)	Prec@5 64.062 (65.728)
Epoch: [62][2080/7045]	Time 0.298 (0.260)	Data 0.246 (0.195)	Loss 2.7671 (2.6803)	Prec@1 32.812 (35.945)	Prec@5 65.234 (65.720)
Epoch: [62][2090/7045]	Time 0.103 (0.260)	Data 0.001 (0.195)	Loss 2.4632 (2.6802)	Prec@1 41.797 (35.943)	Prec@5 70.312 (65.722)
Epoch: [62][2100/7045]	Time 0.168 (0.260)	Data 0.116 (0.195)	Loss 2.5956 (2.6801)	Prec@1 39.453 (35.941)	Prec@5 68.750 (65.724)
Epoch: [62][2110/7045]	Time 0.431 (0.260)	Data 0.380 (0.195)	Loss 2.5360 (2.6797)	Prec@1 39.453 (35.951)	Prec@5 66.406 (65.729)
Epoch: [62][2120/7045]	Time 0.422 (0.260)	Data 0.371 (0.195)	Loss 2.5321 (2.6797)	Prec@1 40.234 (35.954)	Prec@5 66.797 (65.728)
Epoch: [62][2130/7045]	Time 0.612 (0.260)	Data 0.560 (0.195)	Loss 2.7592 (2.6796)	Prec@1 35.547 (35.956)	Prec@5 64.844 (65.732)
Epoch: [62][2140/7045]	Time 0.109 (0.260)	Data 0.001 (0.195)	Loss 2.6082 (2.6794)	Prec@1 35.156 (35.958)	Prec@5 68.750 (65.737)
Epoch: [62][2150/7045]	Time 0.415 (0.260)	Data 0.363 (0.195)	Loss 2.6269 (2.6794)	Prec@1 35.156 (35.958)	Prec@5 63.672 (65.735)
Epoch: [62][2160/7045]	Time 0.103 (0.259)	Data 0.001 (0.195)	Loss 2.7470 (2.6793)	Prec@1 37.109 (35.958)	Prec@5 64.453 (65.738)
Epoch: [62][2170/7045]	Time 0.328 (0.259)	Data 0.278 (0.195)	Loss 2.8253 (2.6793)	Prec@1 32.812 (35.953)	Prec@5 63.672 (65.742)
Epoch: [62][2180/7045]	Time 0.110 (0.259)	Data 0.001 (0.195)	Loss 2.6779 (2.6792)	Prec@1 36.719 (35.959)	Prec@5 66.016 (65.741)
Epoch: [62][2190/7045]	Time 0.108 (0.259)	Data 0.057 (0.195)	Loss 2.5864 (2.6791)	Prec@1 38.281 (35.963)	Prec@5 66.016 (65.739)
Epoch: [62][2200/7045]	Time 0.176 (0.259)	Data 0.124 (0.195)	Loss 2.6739 (2.6787)	Prec@1 37.891 (35.972)	Prec@5 68.359 (65.745)
Epoch: [62][2210/7045]	Time 0.440 (0.259)	Data 0.389 (0.195)	Loss 2.6070 (2.6787)	Prec@1 37.500 (35.980)	Prec@5 66.797 (65.740)
Epoch: [62][2220/7045]	Time 0.181 (0.259)	Data 0.129 (0.195)	Loss 2.9052 (2.6789)	Prec@1 28.906 (35.978)	Prec@5 60.156 (65.736)
Epoch: [62][2230/7045]	Time 0.709 (0.260)	Data 0.651 (0.195)	Loss 2.6554 (2.6787)	Prec@1 38.281 (35.984)	Prec@5 68.359 (65.738)
Epoch: [62][2240/7045]	Time 0.106 (0.259)	Data 0.053 (0.195)	Loss 2.6494 (2.6786)	Prec@1 37.891 (35.988)	Prec@5 67.969 (65.739)
Epoch: [62][2250/7045]	Time 0.472 (0.259)	Data 0.421 (0.195)	Loss 2.5663 (2.6787)	Prec@1 41.406 (35.995)	Prec@5 69.531 (65.739)
Epoch: [62][2260/7045]	Time 0.150 (0.259)	Data 0.091 (0.195)	Loss 2.6107 (2.6786)	Prec@1 39.453 (36.003)	Prec@5 67.188 (65.740)
Epoch: [62][2270/7045]	Time 0.485 (0.259)	Data 0.433 (0.195)	Loss 2.8224 (2.6786)	Prec@1 33.203 (36.006)	Prec@5 67.578 (65.748)
Epoch: [62][2280/7045]	Time 0.114 (0.259)	Data 0.062 (0.195)	Loss 2.5935 (2.6783)	Prec@1 37.891 (36.013)	Prec@5 65.625 (65.756)
Epoch: [62][2290/7045]	Time 0.347 (0.259)	Data 0.295 (0.195)	Loss 2.6643 (2.6785)	Prec@1 31.641 (36.010)	Prec@5 71.094 (65.756)
Epoch: [62][2300/7045]	Time 0.310 (0.259)	Data 0.259 (0.195)	Loss 2.6881 (2.6784)	Prec@1 35.156 (36.010)	Prec@5 67.578 (65.761)
Epoch: [62][2310/7045]	Time 0.102 (0.259)	Data 0.001 (0.195)	Loss 2.8091 (2.6781)	Prec@1 37.109 (36.017)	Prec@5 68.359 (65.768)
Epoch: [62][2320/7045]	Time 0.558 (0.259)	Data 0.508 (0.195)	Loss 2.5944 (2.6778)	Prec@1 37.109 (36.025)	Prec@5 69.922 (65.774)
Epoch: [62][2330/7045]	Time 0.176 (0.259)	Data 0.126 (0.195)	Loss 2.9258 (2.6779)	Prec@1 33.594 (36.023)	Prec@5 64.844 (65.774)
Epoch: [62][2340/7045]	Time 0.533 (0.259)	Data 0.481 (0.195)	Loss 2.6763 (2.6780)	Prec@1 40.234 (36.018)	Prec@5 64.844 (65.775)
Epoch: [62][2350/7045]	Time 0.102 (0.259)	Data 0.024 (0.195)	Loss 2.7036 (2.6777)	Prec@1 35.938 (36.022)	Prec@5 64.844 (65.782)
Epoch: [62][2360/7045]	Time 0.587 (0.259)	Data 0.536 (0.195)	Loss 2.5094 (2.6776)	Prec@1 37.109 (36.023)	Prec@5 71.875 (65.788)
Epoch: [62][2370/7045]	Time 0.292 (0.259)	Data 0.240 (0.195)	Loss 2.7187 (2.6778)	Prec@1 33.984 (36.017)	Prec@5 64.844 (65.786)
Epoch: [62][2380/7045]	Time 0.538 (0.259)	Data 0.487 (0.195)	Loss 2.6537 (2.6778)	Prec@1 33.594 (36.015)	Prec@5 65.625 (65.786)
Epoch: [62][2390/7045]	Time 0.604 (0.259)	Data 0.553 (0.195)	Loss 2.6663 (2.6776)	Prec@1 35.156 (36.018)	Prec@5 63.281 (65.789)
Epoch: [62][2400/7045]	Time 0.101 (0.259)	Data 0.049 (0.195)	Loss 2.6948 (2.6775)	Prec@1 35.547 (36.017)	Prec@5 64.453 (65.791)
Epoch: [62][2410/7045]	Time 0.646 (0.259)	Data 0.596 (0.195)	Loss 2.9499 (2.6778)	Prec@1 27.734 (36.007)	Prec@5 60.547 (65.784)
Epoch: [62][2420/7045]	Time 0.102 (0.259)	Data 0.009 (0.195)	Loss 3.0116 (2.6777)	Prec@1 29.297 (36.008)	Prec@5 60.156 (65.787)
Epoch: [62][2430/7045]	Time 0.613 (0.259)	Data 0.563 (0.195)	Loss 2.5279 (2.6777)	Prec@1 36.328 (36.006)	Prec@5 68.359 (65.791)
Epoch: [62][2440/7045]	Time 0.111 (0.259)	Data 0.060 (0.194)	Loss 2.6018 (2.6776)	Prec@1 40.234 (36.007)	Prec@5 67.188 (65.791)
Epoch: [62][2450/7045]	Time 0.359 (0.259)	Data 0.309 (0.194)	Loss 2.6226 (2.6775)	Prec@1 34.375 (36.007)	Prec@5 65.625 (65.789)
Epoch: [62][2460/7045]	Time 0.245 (0.259)	Data 0.196 (0.194)	Loss 2.5522 (2.6775)	Prec@1 33.594 (36.004)	Prec@5 69.141 (65.788)
Epoch: [62][2470/7045]	Time 0.118 (0.259)	Data 0.066 (0.194)	Loss 2.8974 (2.6778)	Prec@1 37.891 (36.003)	Prec@5 61.328 (65.788)
Epoch: [62][2480/7045]	Time 0.751 (0.259)	Data 0.689 (0.194)	Loss 2.5117 (2.6779)	Prec@1 39.453 (35.998)	Prec@5 67.188 (65.783)
Epoch: [62][2490/7045]	Time 0.292 (0.259)	Data 0.241 (0.194)	Loss 2.8066 (2.6782)	Prec@1 30.469 (35.992)	Prec@5 63.281 (65.777)
Epoch: [62][2500/7045]	Time 0.642 (0.259)	Data 0.589 (0.194)	Loss 2.6233 (2.6782)	Prec@1 35.938 (35.990)	Prec@5 67.969 (65.776)
Epoch: [62][2510/7045]	Time 0.408 (0.259)	Data 0.349 (0.194)	Loss 2.6556 (2.6783)	Prec@1 32.422 (35.990)	Prec@5 67.188 (65.771)
Epoch: [62][2520/7045]	Time 0.428 (0.259)	Data 0.377 (0.194)	Loss 2.8133 (2.6782)	Prec@1 33.984 (35.996)	Prec@5 66.406 (65.775)
Epoch: [62][2530/7045]	Time 0.156 (0.259)	Data 0.105 (0.194)	Loss 2.6920 (2.6780)	Prec@1 35.156 (35.995)	Prec@5 62.891 (65.775)
Epoch: [62][2540/7045]	Time 0.133 (0.259)	Data 0.082 (0.194)	Loss 2.6711 (2.6782)	Prec@1 38.281 (35.994)	Prec@5 66.016 (65.770)
Epoch: [62][2550/7045]	Time 0.483 (0.259)	Data 0.431 (0.194)	Loss 2.6257 (2.6785)	Prec@1 35.156 (35.989)	Prec@5 65.234 (65.764)
Epoch: [62][2560/7045]	Time 0.214 (0.259)	Data 0.162 (0.194)	Loss 2.7122 (2.6785)	Prec@1 35.547 (35.988)	Prec@5 67.188 (65.763)
Epoch: [62][2570/7045]	Time 0.305 (0.259)	Data 0.254 (0.194)	Loss 2.6413 (2.6786)	Prec@1 37.500 (35.991)	Prec@5 65.234 (65.763)
Epoch: [62][2580/7045]	Time 0.546 (0.259)	Data 0.495 (0.194)	Loss 2.8182 (2.6784)	Prec@1 33.594 (35.995)	Prec@5 62.500 (65.768)
Epoch: [62][2590/7045]	Time 0.103 (0.259)	Data 0.008 (0.194)	Loss 2.8519 (2.6782)	Prec@1 29.688 (35.996)	Prec@5 60.938 (65.770)
Epoch: [62][2600/7045]	Time 0.638 (0.259)	Data 0.587 (0.194)	Loss 2.7531 (2.6782)	Prec@1 34.375 (35.996)	Prec@5 63.672 (65.770)
Epoch: [62][2610/7045]	Time 0.104 (0.259)	Data 0.052 (0.194)	Loss 2.5229 (2.6781)	Prec@1 43.359 (35.998)	Prec@5 69.922 (65.774)
Epoch: [62][2620/7045]	Time 0.267 (0.259)	Data 0.216 (0.194)	Loss 2.6685 (2.6781)	Prec@1 35.156 (35.992)	Prec@5 62.109 (65.770)
Epoch: [62][2630/7045]	Time 0.105 (0.259)	Data 0.052 (0.194)	Loss 2.7602 (2.6782)	Prec@1 35.156 (35.990)	Prec@5 66.797 (65.767)
Epoch: [62][2640/7045]	Time 0.109 (0.259)	Data 0.057 (0.194)	Loss 2.4466 (2.6785)	Prec@1 37.891 (35.982)	Prec@5 69.922 (65.760)
Epoch: [62][2650/7045]	Time 0.361 (0.259)	Data 0.309 (0.194)	Loss 2.6288 (2.6787)	Prec@1 36.328 (35.983)	Prec@5 65.234 (65.757)
Epoch: [62][2660/7045]	Time 0.393 (0.259)	Data 0.334 (0.194)	Loss 2.8465 (2.6786)	Prec@1 35.547 (35.986)	Prec@5 59.766 (65.756)
Epoch: [62][2670/7045]	Time 0.203 (0.259)	Data 0.152 (0.194)	Loss 2.6289 (2.6787)	Prec@1 36.328 (35.984)	Prec@5 66.016 (65.753)
Epoch: [62][2680/7045]	Time 0.112 (0.259)	Data 0.061 (0.194)	Loss 2.8238 (2.6785)	Prec@1 31.641 (35.984)	Prec@5 62.109 (65.755)
Epoch: [62][2690/7045]	Time 0.102 (0.259)	Data 0.001 (0.194)	Loss 2.8380 (2.6786)	Prec@1 30.859 (35.986)	Prec@5 61.719 (65.757)
Epoch: [62][2700/7045]	Time 0.528 (0.259)	Data 0.476 (0.194)	Loss 2.6878 (2.6786)	Prec@1 39.453 (35.988)	Prec@5 66.406 (65.756)
Epoch: [62][2710/7045]	Time 0.102 (0.259)	Data 0.001 (0.194)	Loss 2.4568 (2.6785)	Prec@1 42.188 (35.994)	Prec@5 69.922 (65.758)
Epoch: [62][2720/7045]	Time 0.218 (0.259)	Data 0.167 (0.194)	Loss 2.5753 (2.6783)	Prec@1 35.547 (35.999)	Prec@5 70.312 (65.764)
Epoch: [62][2730/7045]	Time 0.102 (0.259)	Data 0.011 (0.194)	Loss 2.5696 (2.6784)	Prec@1 34.766 (35.997)	Prec@5 67.969 (65.763)
Epoch: [62][2740/7045]	Time 0.101 (0.259)	Data 0.001 (0.194)	Loss 2.7129 (2.6785)	Prec@1 36.719 (35.997)	Prec@5 66.016 (65.760)
Epoch: [62][2750/7045]	Time 0.386 (0.259)	Data 0.335 (0.194)	Loss 2.7025 (2.6786)	Prec@1 35.547 (35.996)	Prec@5 65.234 (65.760)
Epoch: [62][2760/7045]	Time 0.143 (0.259)	Data 0.091 (0.194)	Loss 2.7071 (2.6787)	Prec@1 34.375 (35.992)	Prec@5 63.281 (65.756)
Epoch: [62][2770/7045]	Time 0.646 (0.259)	Data 0.596 (0.194)	Loss 2.5523 (2.6786)	Prec@1 39.453 (35.998)	Prec@5 67.578 (65.756)
Epoch: [62][2780/7045]	Time 0.313 (0.259)	Data 0.254 (0.194)	Loss 2.4671 (2.6787)	Prec@1 33.984 (35.991)	Prec@5 74.219 (65.757)
Epoch: [62][2790/7045]	Time 0.257 (0.259)	Data 0.206 (0.194)	Loss 2.5492 (2.6787)	Prec@1 37.109 (35.987)	Prec@5 66.016 (65.759)
Epoch: [62][2800/7045]	Time 0.107 (0.259)	Data 0.055 (0.194)	Loss 2.8485 (2.6786)	Prec@1 35.156 (35.988)	Prec@5 58.594 (65.756)
Epoch: [62][2810/7045]	Time 0.632 (0.259)	Data 0.573 (0.194)	Loss 2.6706 (2.6784)	Prec@1 35.156 (35.993)	Prec@5 67.578 (65.760)
Epoch: [62][2820/7045]	Time 0.173 (0.259)	Data 0.108 (0.194)	Loss 2.6109 (2.6784)	Prec@1 36.328 (35.994)	Prec@5 64.844 (65.762)
Epoch: [62][2830/7045]	Time 0.514 (0.259)	Data 0.464 (0.194)	Loss 2.8916 (2.6784)	Prec@1 29.297 (35.994)	Prec@5 62.891 (65.761)
Epoch: [62][2840/7045]	Time 0.256 (0.259)	Data 0.204 (0.194)	Loss 2.9560 (2.6781)	Prec@1 28.906 (35.996)	Prec@5 60.938 (65.766)
Epoch: [62][2850/7045]	Time 0.168 (0.259)	Data 0.117 (0.194)	Loss 2.5280 (2.6779)	Prec@1 43.359 (36.001)	Prec@5 67.969 (65.768)
Epoch: [62][2860/7045]	Time 0.168 (0.259)	Data 0.117 (0.194)	Loss 2.5880 (2.6780)	Prec@1 39.062 (35.999)	Prec@5 67.188 (65.764)
Epoch: [62][2870/7045]	Time 0.104 (0.259)	Data 0.001 (0.194)	Loss 2.5038 (2.6778)	Prec@1 38.281 (36.004)	Prec@5 69.531 (65.768)
Epoch: [62][2880/7045]	Time 0.178 (0.259)	Data 0.126 (0.194)	Loss 2.5755 (2.6778)	Prec@1 38.672 (36.004)	Prec@5 66.406 (65.770)
Epoch: [62][2890/7045]	Time 0.179 (0.258)	Data 0.127 (0.194)	Loss 2.7288 (2.6777)	Prec@1 34.766 (36.006)	Prec@5 63.672 (65.770)
Epoch: [62][2900/7045]	Time 0.110 (0.259)	Data 0.001 (0.194)	Loss 2.6590 (2.6776)	Prec@1 38.672 (36.008)	Prec@5 66.797 (65.775)
Epoch: [62][2910/7045]	Time 0.327 (0.258)	Data 0.277 (0.194)	Loss 2.7706 (2.6776)	Prec@1 31.641 (36.009)	Prec@5 65.234 (65.777)
Epoch: [62][2920/7045]	Time 0.586 (0.258)	Data 0.534 (0.194)	Loss 2.6586 (2.6775)	Prec@1 35.938 (36.009)	Prec@5 66.406 (65.779)
Epoch: [62][2930/7045]	Time 0.170 (0.258)	Data 0.119 (0.194)	Loss 2.7588 (2.6776)	Prec@1 34.766 (36.009)	Prec@5 62.109 (65.777)
Epoch: [62][2940/7045]	Time 0.544 (0.258)	Data 0.492 (0.194)	Loss 2.6721 (2.6775)	Prec@1 35.547 (36.006)	Prec@5 66.797 (65.781)
Epoch: [62][2950/7045]	Time 0.101 (0.258)	Data 0.001 (0.194)	Loss 2.7432 (2.6772)	Prec@1 37.500 (36.014)	Prec@5 63.672 (65.787)
Epoch: [62][2960/7045]	Time 0.303 (0.258)	Data 0.252 (0.194)	Loss 2.6088 (2.6773)	Prec@1 37.109 (36.015)	Prec@5 67.969 (65.785)
Epoch: [62][2970/7045]	Time 0.378 (0.258)	Data 0.325 (0.194)	Loss 2.9263 (2.6774)	Prec@1 30.469 (36.012)	Prec@5 59.375 (65.784)
Epoch: [62][2980/7045]	Time 0.400 (0.258)	Data 0.350 (0.194)	Loss 2.5717 (2.6772)	Prec@1 37.500 (36.012)	Prec@5 69.531 (65.787)
Epoch: [62][2990/7045]	Time 0.195 (0.258)	Data 0.142 (0.194)	Loss 2.5497 (2.6770)	Prec@1 33.594 (36.013)	Prec@5 70.312 (65.795)
Epoch: [62][3000/7045]	Time 0.102 (0.258)	Data 0.001 (0.194)	Loss 2.8970 (2.6769)	Prec@1 33.594 (36.015)	Prec@5 62.500 (65.797)
Epoch: [62][3010/7045]	Time 0.219 (0.258)	Data 0.168 (0.194)	Loss 2.6363 (2.6768)	Prec@1 35.156 (36.017)	Prec@5 64.844 (65.795)
Epoch: [62][3020/7045]	Time 0.114 (0.258)	Data 0.056 (0.194)	Loss 2.7639 (2.6769)	Prec@1 31.641 (36.014)	Prec@5 66.797 (65.796)
Epoch: [62][3030/7045]	Time 0.262 (0.258)	Data 0.210 (0.194)	Loss 2.6414 (2.6771)	Prec@1 37.891 (36.010)	Prec@5 65.234 (65.792)
Epoch: [62][3040/7045]	Time 0.111 (0.258)	Data 0.060 (0.194)	Loss 2.5375 (2.6771)	Prec@1 37.891 (36.009)	Prec@5 66.406 (65.790)
Epoch: [62][3050/7045]	Time 0.145 (0.258)	Data 0.093 (0.194)	Loss 2.7882 (2.6771)	Prec@1 33.203 (36.008)	Prec@5 62.109 (65.787)
Epoch: [62][3060/7045]	Time 0.327 (0.258)	Data 0.276 (0.194)	Loss 2.9055 (2.6770)	Prec@1 33.594 (36.011)	Prec@5 64.062 (65.789)
Epoch: [62][3070/7045]	Time 0.411 (0.258)	Data 0.359 (0.194)	Loss 2.7015 (2.6771)	Prec@1 37.109 (36.012)	Prec@5 67.578 (65.789)
Epoch: [62][3080/7045]	Time 0.102 (0.258)	Data 0.001 (0.194)	Loss 2.6536 (2.6770)	Prec@1 34.375 (36.015)	Prec@5 66.016 (65.789)
Epoch: [62][3090/7045]	Time 0.101 (0.258)	Data 0.001 (0.194)	Loss 2.5224 (2.6769)	Prec@1 41.016 (36.020)	Prec@5 71.094 (65.790)
Epoch: [62][3100/7045]	Time 0.102 (0.258)	Data 0.001 (0.194)	Loss 2.5944 (2.6766)	Prec@1 41.797 (36.025)	Prec@5 67.969 (65.795)
Epoch: [62][3110/7045]	Time 0.252 (0.258)	Data 0.193 (0.194)	Loss 2.7380 (2.6764)	Prec@1 33.984 (36.028)	Prec@5 66.406 (65.799)
Epoch: [62][3120/7045]	Time 0.501 (0.258)	Data 0.450 (0.194)	Loss 2.6746 (2.6766)	Prec@1 37.109 (36.023)	Prec@5 65.234 (65.794)
Epoch: [62][3130/7045]	Time 0.117 (0.258)	Data 0.057 (0.194)	Loss 2.6007 (2.6768)	Prec@1 38.281 (36.018)	Prec@5 67.188 (65.792)
Epoch: [62][3140/7045]	Time 0.143 (0.258)	Data 0.092 (0.194)	Loss 2.3323 (2.6765)	Prec@1 45.703 (36.021)	Prec@5 73.438 (65.796)
Epoch: [62][3150/7045]	Time 0.220 (0.258)	Data 0.169 (0.194)	Loss 2.7467 (2.6765)	Prec@1 34.766 (36.023)	Prec@5 62.500 (65.795)
Epoch: [62][3160/7045]	Time 0.107 (0.258)	Data 0.007 (0.194)	Loss 2.6815 (2.6764)	Prec@1 35.938 (36.023)	Prec@5 65.234 (65.799)
Epoch: [62][3170/7045]	Time 0.565 (0.258)	Data 0.514 (0.194)	Loss 2.6413 (2.6764)	Prec@1 32.812 (36.022)	Prec@5 68.750 (65.800)
Epoch: [62][3180/7045]	Time 0.214 (0.258)	Data 0.164 (0.194)	Loss 2.8994 (2.6764)	Prec@1 28.906 (36.016)	Prec@5 64.453 (65.798)
Epoch: [62][3190/7045]	Time 0.389 (0.258)	Data 0.337 (0.194)	Loss 2.4821 (2.6763)	Prec@1 40.234 (36.020)	Prec@5 68.750 (65.802)
Epoch: [62][3200/7045]	Time 0.100 (0.258)	Data 0.001 (0.194)	Loss 2.8302 (2.6763)	Prec@1 31.641 (36.022)	Prec@5 61.719 (65.803)
Epoch: [62][3210/7045]	Time 0.102 (0.258)	Data 0.001 (0.194)	Loss 2.6531 (2.6763)	Prec@1 32.422 (36.024)	Prec@5 64.844 (65.805)
Epoch: [62][3220/7045]	Time 0.115 (0.258)	Data 0.001 (0.194)	Loss 2.6469 (2.6764)	Prec@1 38.672 (36.023)	Prec@5 63.672 (65.803)
Epoch: [62][3230/7045]	Time 0.102 (0.258)	Data 0.001 (0.194)	Loss 2.7019 (2.6762)	Prec@1 33.594 (36.027)	Prec@5 62.109 (65.803)
Epoch: [62][3240/7045]	Time 0.350 (0.258)	Data 0.299 (0.194)	Loss 2.8006 (2.6763)	Prec@1 32.422 (36.024)	Prec@5 63.672 (65.801)
Epoch: [62][3250/7045]	Time 0.228 (0.258)	Data 0.177 (0.194)	Loss 2.6501 (2.6762)	Prec@1 37.500 (36.026)	Prec@5 65.234 (65.802)
Epoch: [62][3260/7045]	Time 0.111 (0.258)	Data 0.001 (0.194)	Loss 2.4532 (2.6762)	Prec@1 39.062 (36.029)	Prec@5 70.312 (65.803)
Epoch: [62][3270/7045]	Time 0.153 (0.258)	Data 0.102 (0.194)	Loss 2.7074 (2.6763)	Prec@1 32.422 (36.025)	Prec@5 65.234 (65.802)
Epoch: [62][3280/7045]	Time 0.343 (0.258)	Data 0.292 (0.194)	Loss 2.6904 (2.6762)	Prec@1 31.250 (36.027)	Prec@5 66.406 (65.804)
Epoch: [62][3290/7045]	Time 0.156 (0.258)	Data 0.105 (0.194)	Loss 2.6081 (2.6762)	Prec@1 38.672 (36.032)	Prec@5 64.453 (65.806)
Epoch: [62][3300/7045]	Time 0.439 (0.258)	Data 0.388 (0.194)	Loss 2.7229 (2.6759)	Prec@1 37.109 (36.040)	Prec@5 65.625 (65.811)
Epoch: [62][3310/7045]	Time 0.111 (0.258)	Data 0.060 (0.194)	Loss 2.6539 (2.6759)	Prec@1 35.938 (36.041)	Prec@5 67.969 (65.812)
Epoch: [62][3320/7045]	Time 0.305 (0.258)	Data 0.254 (0.194)	Loss 2.5448 (2.6758)	Prec@1 37.109 (36.042)	Prec@5 69.531 (65.814)
Epoch: [62][3330/7045]	Time 0.390 (0.258)	Data 0.338 (0.194)	Loss 2.8343 (2.6759)	Prec@1 34.766 (36.040)	Prec@5 64.844 (65.809)
Epoch: [62][3340/7045]	Time 0.276 (0.258)	Data 0.225 (0.194)	Loss 2.4497 (2.6757)	Prec@1 41.406 (36.041)	Prec@5 73.828 (65.817)
Epoch: [62][3350/7045]	Time 0.482 (0.258)	Data 0.432 (0.194)	Loss 2.7221 (2.6759)	Prec@1 37.891 (36.040)	Prec@5 63.672 (65.811)
Epoch: [62][3360/7045]	Time 0.103 (0.258)	Data 0.013 (0.194)	Loss 2.6742 (2.6759)	Prec@1 38.672 (36.038)	Prec@5 66.016 (65.812)
Epoch: [62][3370/7045]	Time 0.544 (0.258)	Data 0.492 (0.194)	Loss 2.4678 (2.6756)	Prec@1 37.891 (36.043)	Prec@5 72.266 (65.819)
Epoch: [62][3380/7045]	Time 0.106 (0.258)	Data 0.055 (0.194)	Loss 2.7906 (2.6759)	Prec@1 33.984 (36.041)	Prec@5 65.625 (65.814)
Epoch: [62][3390/7045]	Time 0.394 (0.258)	Data 0.344 (0.194)	Loss 2.6960 (2.6759)	Prec@1 37.109 (36.040)	Prec@5 67.188 (65.814)
Epoch: [62][3400/7045]	Time 0.503 (0.258)	Data 0.451 (0.194)	Loss 2.6589 (2.6760)	Prec@1 34.766 (36.041)	Prec@5 65.234 (65.813)
Epoch: [62][3410/7045]	Time 0.665 (0.258)	Data 0.614 (0.194)	Loss 2.5280 (2.6761)	Prec@1 38.281 (36.039)	Prec@5 68.750 (65.811)
Epoch: [62][3420/7045]	Time 0.101 (0.258)	Data 0.001 (0.194)	Loss 2.6693 (2.6762)	Prec@1 34.375 (36.038)	Prec@5 66.016 (65.810)
Epoch: [62][3430/7045]	Time 0.470 (0.258)	Data 0.419 (0.194)	Loss 2.5435 (2.6761)	Prec@1 35.547 (36.038)	Prec@5 67.188 (65.812)
Epoch: [62][3440/7045]	Time 0.102 (0.258)	Data 0.016 (0.194)	Loss 2.3576 (2.6761)	Prec@1 40.234 (36.038)	Prec@5 71.875 (65.808)
Epoch: [62][3450/7045]	Time 0.193 (0.258)	Data 0.143 (0.194)	Loss 2.8181 (2.6759)	Prec@1 35.547 (36.045)	Prec@5 59.766 (65.812)
Epoch: [62][3460/7045]	Time 0.164 (0.258)	Data 0.112 (0.194)	Loss 2.5239 (2.6758)	Prec@1 39.453 (36.049)	Prec@5 66.406 (65.816)
Epoch: [62][3470/7045]	Time 0.102 (0.258)	Data 0.001 (0.194)	Loss 2.7588 (2.6759)	Prec@1 34.375 (36.047)	Prec@5 66.016 (65.816)
Epoch: [62][3480/7045]	Time 0.332 (0.258)	Data 0.281 (0.194)	Loss 2.7954 (2.6759)	Prec@1 34.766 (36.051)	Prec@5 64.062 (65.818)
Epoch: [62][3490/7045]	Time 0.103 (0.258)	Data 0.051 (0.194)	Loss 2.9329 (2.6760)	Prec@1 27.734 (36.049)	Prec@5 61.328 (65.815)
Epoch: [62][3500/7045]	Time 0.222 (0.258)	Data 0.169 (0.194)	Loss 2.9181 (2.6762)	Prec@1 32.422 (36.046)	Prec@5 62.109 (65.811)
Epoch: [62][3510/7045]	Time 0.105 (0.258)	Data 0.052 (0.194)	Loss 2.6748 (2.6762)	Prec@1 33.984 (36.046)	Prec@5 63.672 (65.809)
Epoch: [62][3520/7045]	Time 0.242 (0.258)	Data 0.189 (0.194)	Loss 2.5555 (2.6763)	Prec@1 39.453 (36.042)	Prec@5 69.922 (65.806)
Epoch: [62][3530/7045]	Time 0.105 (0.258)	Data 0.053 (0.194)	Loss 2.7098 (2.6764)	Prec@1 36.719 (36.037)	Prec@5 64.844 (65.804)
Epoch: [62][3540/7045]	Time 0.102 (0.258)	Data 0.014 (0.194)	Loss 2.6149 (2.6765)	Prec@1 35.156 (36.033)	Prec@5 65.234 (65.802)
Epoch: [62][3550/7045]	Time 0.094 (0.258)	Data 0.001 (0.194)	Loss 2.6349 (2.6766)	Prec@1 36.719 (36.031)	Prec@5 67.578 (65.797)
Epoch: [62][3560/7045]	Time 0.103 (0.258)	Data 0.001 (0.193)	Loss 2.8979 (2.6768)	Prec@1 37.500 (36.028)	Prec@5 59.375 (65.792)
Epoch: [62][3570/7045]	Time 0.118 (0.258)	Data 0.059 (0.194)	Loss 2.6213 (2.6767)	Prec@1 35.938 (36.031)	Prec@5 67.969 (65.795)
Epoch: [62][3580/7045]	Time 0.209 (0.258)	Data 0.158 (0.194)	Loss 2.6372 (2.6767)	Prec@1 39.453 (36.034)	Prec@5 66.016 (65.793)
Epoch: [62][3590/7045]	Time 0.103 (0.258)	Data 0.001 (0.194)	Loss 2.6562 (2.6767)	Prec@1 37.500 (36.033)	Prec@5 68.750 (65.791)
Epoch: [62][3600/7045]	Time 0.404 (0.258)	Data 0.353 (0.194)	Loss 2.5917 (2.6769)	Prec@1 34.375 (36.029)	Prec@5 67.188 (65.786)
Epoch: [62][3610/7045]	Time 0.167 (0.258)	Data 0.116 (0.194)	Loss 2.6814 (2.6770)	Prec@1 38.281 (36.026)	Prec@5 66.797 (65.783)
Epoch: [62][3620/7045]	Time 0.174 (0.258)	Data 0.122 (0.194)	Loss 2.8569 (2.6773)	Prec@1 32.031 (36.022)	Prec@5 62.500 (65.779)
Epoch: [62][3630/7045]	Time 0.101 (0.258)	Data 0.001 (0.194)	Loss 2.6850 (2.6772)	Prec@1 38.281 (36.026)	Prec@5 65.625 (65.779)
Epoch: [62][3640/7045]	Time 0.111 (0.258)	Data 0.001 (0.194)	Loss 2.6288 (2.6773)	Prec@1 39.062 (36.022)	Prec@5 63.672 (65.779)
Epoch: [62][3650/7045]	Time 0.102 (0.258)	Data 0.015 (0.194)	Loss 2.7922 (2.6772)	Prec@1 30.859 (36.022)	Prec@5 61.328 (65.781)
Epoch: [62][3660/7045]	Time 0.308 (0.258)	Data 0.256 (0.194)	Loss 2.6973 (2.6773)	Prec@1 37.500 (36.021)	Prec@5 62.500 (65.779)
Epoch: [62][3670/7045]	Time 0.108 (0.258)	Data 0.057 (0.194)	Loss 2.8560 (2.6772)	Prec@1 31.641 (36.024)	Prec@5 60.938 (65.782)
Epoch: [62][3680/7045]	Time 0.253 (0.258)	Data 0.202 (0.194)	Loss 2.4112 (2.6770)	Prec@1 42.578 (36.030)	Prec@5 71.094 (65.788)
Epoch: [62][3690/7045]	Time 0.104 (0.258)	Data 0.052 (0.194)	Loss 2.7518 (2.6771)	Prec@1 34.375 (36.028)	Prec@5 63.672 (65.784)
Epoch: [62][3700/7045]	Time 0.101 (0.258)	Data 0.015 (0.193)	Loss 2.5835 (2.6771)	Prec@1 41.016 (36.033)	Prec@5 69.531 (65.784)
Epoch: [62][3710/7045]	Time 0.137 (0.258)	Data 0.086 (0.193)	Loss 2.7325 (2.6769)	Prec@1 35.156 (36.036)	Prec@5 64.062 (65.786)
Epoch: [62][3720/7045]	Time 0.251 (0.258)	Data 0.200 (0.193)	Loss 2.7217 (2.6768)	Prec@1 33.984 (36.036)	Prec@5 64.453 (65.791)
Epoch: [62][3730/7045]	Time 0.385 (0.258)	Data 0.334 (0.193)	Loss 2.7514 (2.6769)	Prec@1 36.719 (36.036)	Prec@5 64.062 (65.789)
Epoch: [62][3740/7045]	Time 0.165 (0.258)	Data 0.114 (0.193)	Loss 2.4339 (2.6770)	Prec@1 42.969 (36.038)	Prec@5 71.094 (65.787)
Epoch: [62][3750/7045]	Time 0.101 (0.258)	Data 0.011 (0.193)	Loss 2.6313 (2.6772)	Prec@1 39.453 (36.034)	Prec@5 65.625 (65.784)
Epoch: [62][3760/7045]	Time 0.185 (0.258)	Data 0.134 (0.193)	Loss 2.4799 (2.6772)	Prec@1 37.109 (36.034)	Prec@5 72.266 (65.787)
Epoch: [62][3770/7045]	Time 0.109 (0.258)	Data 0.058 (0.193)	Loss 2.8254 (2.6771)	Prec@1 32.422 (36.033)	Prec@5 60.547 (65.785)
Epoch: [62][3780/7045]	Time 0.151 (0.258)	Data 0.101 (0.193)	Loss 2.7058 (2.6772)	Prec@1 33.984 (36.033)	Prec@5 64.844 (65.782)
Epoch: [62][3790/7045]	Time 0.102 (0.258)	Data 0.019 (0.193)	Loss 2.9183 (2.6773)	Prec@1 30.078 (36.029)	Prec@5 58.984 (65.780)
Epoch: [62][3800/7045]	Time 0.102 (0.258)	Data 0.047 (0.193)	Loss 2.7013 (2.6772)	Prec@1 36.719 (36.030)	Prec@5 63.672 (65.782)
Epoch: [62][3810/7045]	Time 0.108 (0.258)	Data 0.055 (0.194)	Loss 2.5701 (2.6771)	Prec@1 36.328 (36.032)	Prec@5 68.750 (65.782)
Epoch: [62][3820/7045]	Time 0.118 (0.258)	Data 0.066 (0.193)	Loss 2.6311 (2.6770)	Prec@1 37.500 (36.034)	Prec@5 64.453 (65.784)
Epoch: [62][3830/7045]	Time 0.392 (0.258)	Data 0.341 (0.194)	Loss 2.6889 (2.6770)	Prec@1 40.625 (36.034)	Prec@5 62.891 (65.783)
Epoch: [62][3840/7045]	Time 0.152 (0.258)	Data 0.101 (0.193)	Loss 2.6121 (2.6771)	Prec@1 37.500 (36.033)	Prec@5 66.016 (65.781)
Epoch: [62][3850/7045]	Time 0.240 (0.258)	Data 0.190 (0.193)	Loss 2.6834 (2.6772)	Prec@1 37.891 (36.031)	Prec@5 66.016 (65.780)
Epoch: [62][3860/7045]	Time 0.452 (0.258)	Data 0.399 (0.194)	Loss 2.6117 (2.6772)	Prec@1 38.672 (36.031)	Prec@5 66.016 (65.778)
Epoch: [62][3870/7045]	Time 0.102 (0.258)	Data 0.001 (0.193)	Loss 2.7527 (2.6772)	Prec@1 33.594 (36.030)	Prec@5 64.453 (65.778)
Epoch: [62][3880/7045]	Time 0.137 (0.258)	Data 0.086 (0.193)	Loss 2.6466 (2.6773)	Prec@1 35.938 (36.030)	Prec@5 66.406 (65.774)
Epoch: [62][3890/7045]	Time 0.102 (0.258)	Data 0.006 (0.193)	Loss 2.7660 (2.6773)	Prec@1 35.156 (36.032)	Prec@5 61.328 (65.774)
Epoch: [62][3900/7045]	Time 0.102 (0.258)	Data 0.001 (0.193)	Loss 2.7385 (2.6771)	Prec@1 34.766 (36.035)	Prec@5 64.062 (65.777)
Epoch: [62][3910/7045]	Time 0.539 (0.258)	Data 0.488 (0.193)	Loss 2.7818 (2.6772)	Prec@1 37.109 (36.033)	Prec@5 61.328 (65.776)
Epoch: [62][3920/7045]	Time 0.101 (0.258)	Data 0.001 (0.193)	Loss 2.6264 (2.6771)	Prec@1 37.500 (36.034)	Prec@5 69.922 (65.782)
Epoch: [62][3930/7045]	Time 0.643 (0.258)	Data 0.592 (0.193)	Loss 2.7110 (2.6770)	Prec@1 40.625 (36.035)	Prec@5 67.969 (65.783)
Epoch: [62][3940/7045]	Time 0.102 (0.257)	Data 0.051 (0.193)	Loss 2.7172 (2.6769)	Prec@1 33.984 (36.035)	Prec@5 62.891 (65.786)
Epoch: [62][3950/7045]	Time 0.544 (0.257)	Data 0.494 (0.193)	Loss 2.7921 (2.6769)	Prec@1 35.156 (36.032)	Prec@5 65.625 (65.785)
Epoch: [62][3960/7045]	Time 0.257 (0.257)	Data 0.206 (0.193)	Loss 2.6274 (2.6767)	Prec@1 37.891 (36.037)	Prec@5 66.797 (65.787)
Epoch: [62][3970/7045]	Time 0.154 (0.257)	Data 0.097 (0.193)	Loss 2.6308 (2.6767)	Prec@1 37.500 (36.037)	Prec@5 67.188 (65.785)
Epoch: [62][3980/7045]	Time 0.271 (0.257)	Data 0.220 (0.193)	Loss 2.5403 (2.6766)	Prec@1 40.234 (36.039)	Prec@5 65.234 (65.786)
Epoch: [62][3990/7045]	Time 0.103 (0.257)	Data 0.023 (0.193)	Loss 2.6352 (2.6766)	Prec@1 38.281 (36.042)	Prec@5 64.062 (65.785)
Epoch: [62][4000/7045]	Time 0.250 (0.257)	Data 0.199 (0.193)	Loss 2.6197 (2.6764)	Prec@1 36.328 (36.042)	Prec@5 68.750 (65.787)
Epoch: [62][4010/7045]	Time 0.110 (0.257)	Data 0.014 (0.193)	Loss 2.9294 (2.6764)	Prec@1 30.859 (36.044)	Prec@5 62.109 (65.789)
Epoch: [62][4020/7045]	Time 0.646 (0.257)	Data 0.595 (0.193)	Loss 2.3427 (2.6763)	Prec@1 41.797 (36.046)	Prec@5 72.656 (65.791)
Epoch: [62][4030/7045]	Time 0.106 (0.257)	Data 0.055 (0.193)	Loss 2.5193 (2.6763)	Prec@1 37.109 (36.047)	Prec@5 68.359 (65.790)
Epoch: [62][4040/7045]	Time 0.676 (0.257)	Data 0.624 (0.193)	Loss 2.7036 (2.6762)	Prec@1 34.375 (36.047)	Prec@5 67.188 (65.791)
Epoch: [62][4050/7045]	Time 0.110 (0.257)	Data 0.001 (0.193)	Loss 2.4457 (2.6761)	Prec@1 40.625 (36.050)	Prec@5 69.531 (65.792)
Epoch: [62][4060/7045]	Time 0.415 (0.257)	Data 0.361 (0.193)	Loss 2.3693 (2.6761)	Prec@1 46.484 (36.049)	Prec@5 70.312 (65.791)
Epoch: [62][4070/7045]	Time 0.339 (0.257)	Data 0.288 (0.193)	Loss 2.5738 (2.6760)	Prec@1 36.328 (36.051)	Prec@5 67.969 (65.791)
Epoch: [62][4080/7045]	Time 0.231 (0.257)	Data 0.180 (0.193)	Loss 2.8648 (2.6760)	Prec@1 32.812 (36.048)	Prec@5 64.062 (65.788)
Epoch: [62][4090/7045]	Time 0.458 (0.257)	Data 0.407 (0.193)	Loss 2.7516 (2.6759)	Prec@1 31.250 (36.047)	Prec@5 60.547 (65.791)
Epoch: [62][4100/7045]	Time 0.249 (0.257)	Data 0.199 (0.193)	Loss 2.5905 (2.6758)	Prec@1 41.406 (36.051)	Prec@5 66.016 (65.792)
Epoch: [62][4110/7045]	Time 0.387 (0.257)	Data 0.336 (0.193)	Loss 2.6073 (2.6760)	Prec@1 37.891 (36.049)	Prec@5 64.453 (65.791)
Epoch: [62][4120/7045]	Time 0.199 (0.257)	Data 0.149 (0.193)	Loss 2.6884 (2.6760)	Prec@1 37.109 (36.050)	Prec@5 67.188 (65.792)
Epoch: [62][4130/7045]	Time 0.369 (0.257)	Data 0.318 (0.193)	Loss 2.3958 (2.6758)	Prec@1 45.312 (36.051)	Prec@5 70.703 (65.793)
Epoch: [62][4140/7045]	Time 0.102 (0.257)	Data 0.001 (0.193)	Loss 2.6867 (2.6759)	Prec@1 33.203 (36.052)	Prec@5 65.625 (65.791)
Epoch: [62][4150/7045]	Time 0.434 (0.257)	Data 0.383 (0.193)	Loss 2.7889 (2.6760)	Prec@1 33.984 (36.055)	Prec@5 62.500 (65.791)
Epoch: [62][4160/7045]	Time 0.332 (0.257)	Data 0.281 (0.193)	Loss 2.4801 (2.6760)	Prec@1 42.188 (36.057)	Prec@5 71.094 (65.789)
Epoch: [62][4170/7045]	Time 0.353 (0.257)	Data 0.301 (0.193)	Loss 2.6695 (2.6759)	Prec@1 36.719 (36.062)	Prec@5 67.188 (65.790)
Epoch: [62][4180/7045]	Time 0.239 (0.257)	Data 0.186 (0.193)	Loss 2.6891 (2.6759)	Prec@1 33.984 (36.062)	Prec@5 64.844 (65.790)
Epoch: [62][4190/7045]	Time 0.711 (0.257)	Data 0.653 (0.193)	Loss 2.4700 (2.6759)	Prec@1 41.016 (36.064)	Prec@5 72.266 (65.792)
Epoch: [62][4200/7045]	Time 0.101 (0.257)	Data 0.001 (0.193)	Loss 2.6123 (2.6758)	Prec@1 40.234 (36.066)	Prec@5 66.797 (65.794)
Epoch: [62][4210/7045]	Time 0.102 (0.257)	Data 0.001 (0.193)	Loss 2.5720 (2.6759)	Prec@1 38.672 (36.063)	Prec@5 69.531 (65.795)
Epoch: [62][4220/7045]	Time 0.186 (0.257)	Data 0.134 (0.193)	Loss 2.6247 (2.6759)	Prec@1 37.109 (36.064)	Prec@5 68.359 (65.794)
Epoch: [62][4230/7045]	Time 0.281 (0.257)	Data 0.229 (0.193)	Loss 2.7372 (2.6758)	Prec@1 33.984 (36.070)	Prec@5 65.234 (65.797)
Epoch: [62][4240/7045]	Time 0.102 (0.257)	Data 0.001 (0.193)	Loss 2.7841 (2.6759)	Prec@1 33.203 (36.069)	Prec@5 62.891 (65.794)
Epoch: [62][4250/7045]	Time 0.109 (0.257)	Data 0.017 (0.193)	Loss 2.6012 (2.6759)	Prec@1 37.109 (36.070)	Prec@5 67.188 (65.793)
Epoch: [62][4260/7045]	Time 0.221 (0.257)	Data 0.169 (0.193)	Loss 2.6010 (2.6759)	Prec@1 37.500 (36.067)	Prec@5 70.703 (65.793)
Epoch: [62][4270/7045]	Time 0.109 (0.257)	Data 0.014 (0.193)	Loss 2.7347 (2.6758)	Prec@1 32.812 (36.068)	Prec@5 62.109 (65.796)
Epoch: [62][4280/7045]	Time 0.338 (0.257)	Data 0.286 (0.193)	Loss 2.7620 (2.6756)	Prec@1 35.547 (36.072)	Prec@5 63.672 (65.797)
Epoch: [62][4290/7045]	Time 0.102 (0.257)	Data 0.002 (0.193)	Loss 2.5783 (2.6755)	Prec@1 42.578 (36.074)	Prec@5 67.578 (65.799)
Epoch: [62][4300/7045]	Time 0.382 (0.257)	Data 0.330 (0.193)	Loss 2.6113 (2.6755)	Prec@1 36.719 (36.073)	Prec@5 68.359 (65.801)
Epoch: [62][4310/7045]	Time 0.243 (0.257)	Data 0.193 (0.193)	Loss 2.8407 (2.6756)	Prec@1 35.547 (36.071)	Prec@5 62.500 (65.799)
Epoch: [62][4320/7045]	Time 0.184 (0.257)	Data 0.134 (0.193)	Loss 2.5408 (2.6755)	Prec@1 38.672 (36.072)	Prec@5 67.969 (65.800)
Epoch: [62][4330/7045]	Time 0.590 (0.257)	Data 0.539 (0.193)	Loss 2.7323 (2.6754)	Prec@1 33.984 (36.072)	Prec@5 65.234 (65.800)
Epoch: [62][4340/7045]	Time 0.102 (0.257)	Data 0.001 (0.193)	Loss 2.9517 (2.6756)	Prec@1 30.859 (36.070)	Prec@5 58.594 (65.795)
Epoch: [62][4350/7045]	Time 0.527 (0.257)	Data 0.476 (0.193)	Loss 2.5276 (2.6753)	Prec@1 35.938 (36.074)	Prec@5 70.703 (65.799)
Epoch: [62][4360/7045]	Time 0.104 (0.257)	Data 0.053 (0.193)	Loss 2.4153 (2.6754)	Prec@1 40.234 (36.073)	Prec@5 68.359 (65.798)
Epoch: [62][4370/7045]	Time 0.731 (0.257)	Data 0.680 (0.193)	Loss 2.5095 (2.6755)	Prec@1 38.672 (36.069)	Prec@5 71.094 (65.795)
Epoch: [62][4380/7045]	Time 0.099 (0.257)	Data 0.001 (0.193)	Loss 2.7584 (2.6754)	Prec@1 37.891 (36.071)	Prec@5 66.016 (65.797)
Epoch: [62][4390/7045]	Time 0.400 (0.257)	Data 0.349 (0.193)	Loss 2.6002 (2.6753)	Prec@1 40.234 (36.074)	Prec@5 65.234 (65.801)
Epoch: [62][4400/7045]	Time 0.101 (0.257)	Data 0.001 (0.193)	Loss 2.9125 (2.6753)	Prec@1 33.203 (36.075)	Prec@5 64.453 (65.802)
Epoch: [62][4410/7045]	Time 0.212 (0.257)	Data 0.162 (0.193)	Loss 2.6354 (2.6754)	Prec@1 33.203 (36.075)	Prec@5 66.016 (65.801)
Epoch: [62][4420/7045]	Time 0.102 (0.257)	Data 0.001 (0.193)	Loss 2.4616 (2.6753)	Prec@1 43.359 (36.080)	Prec@5 71.094 (65.803)
Epoch: [62][4430/7045]	Time 0.116 (0.257)	Data 0.065 (0.193)	Loss 2.6553 (2.6753)	Prec@1 37.891 (36.077)	Prec@5 66.016 (65.805)
Epoch: [62][4440/7045]	Time 0.238 (0.257)	Data 0.185 (0.193)	Loss 2.4801 (2.6751)	Prec@1 36.719 (36.078)	Prec@5 70.703 (65.811)
Epoch: [62][4450/7045]	Time 0.103 (0.257)	Data 0.001 (0.193)	Loss 2.7467 (2.6751)	Prec@1 29.297 (36.077)	Prec@5 67.969 (65.812)
Epoch: [62][4460/7045]	Time 0.482 (0.257)	Data 0.431 (0.193)	Loss 2.8788 (2.6752)	Prec@1 34.375 (36.076)	Prec@5 62.500 (65.809)
Epoch: [62][4470/7045]	Time 0.239 (0.257)	Data 0.178 (0.193)	Loss 2.7322 (2.6753)	Prec@1 39.844 (36.075)	Prec@5 64.453 (65.806)
Epoch: [62][4480/7045]	Time 0.430 (0.257)	Data 0.378 (0.193)	Loss 2.6876 (2.6752)	Prec@1 33.594 (36.074)	Prec@5 65.234 (65.808)
Epoch: [62][4490/7045]	Time 0.135 (0.257)	Data 0.083 (0.193)	Loss 2.6663 (2.6751)	Prec@1 32.812 (36.078)	Prec@5 64.844 (65.811)
Epoch: [62][4500/7045]	Time 0.409 (0.257)	Data 0.358 (0.193)	Loss 2.7349 (2.6751)	Prec@1 35.547 (36.076)	Prec@5 65.234 (65.809)
Epoch: [62][4510/7045]	Time 0.265 (0.257)	Data 0.215 (0.193)	Loss 2.7568 (2.6752)	Prec@1 35.156 (36.076)	Prec@5 65.234 (65.808)
Epoch: [62][4520/7045]	Time 0.551 (0.257)	Data 0.499 (0.193)	Loss 2.8466 (2.6753)	Prec@1 32.422 (36.075)	Prec@5 60.156 (65.807)
Epoch: [62][4530/7045]	Time 0.103 (0.257)	Data 0.051 (0.193)	Loss 2.8967 (2.6754)	Prec@1 30.469 (36.075)	Prec@5 62.109 (65.805)
Epoch: [62][4540/7045]	Time 0.246 (0.257)	Data 0.195 (0.193)	Loss 2.7555 (2.6754)	Prec@1 34.766 (36.074)	Prec@5 63.281 (65.805)
Epoch: [62][4550/7045]	Time 0.312 (0.257)	Data 0.262 (0.193)	Loss 2.5089 (2.6753)	Prec@1 38.281 (36.072)	Prec@5 68.750 (65.807)
Epoch: [62][4560/7045]	Time 0.124 (0.257)	Data 0.071 (0.193)	Loss 2.8527 (2.6752)	Prec@1 39.453 (36.076)	Prec@5 60.938 (65.809)
Epoch: [62][4570/7045]	Time 0.134 (0.257)	Data 0.083 (0.193)	Loss 2.7127 (2.6754)	Prec@1 37.891 (36.073)	Prec@5 66.406 (65.805)
Epoch: [62][4580/7045]	Time 0.228 (0.257)	Data 0.177 (0.193)	Loss 2.7416 (2.6753)	Prec@1 35.547 (36.072)	Prec@5 63.672 (65.805)
Epoch: [62][4590/7045]	Time 0.233 (0.257)	Data 0.182 (0.193)	Loss 2.8163 (2.6753)	Prec@1 37.500 (36.074)	Prec@5 64.062 (65.807)
Epoch: [62][4600/7045]	Time 0.183 (0.257)	Data 0.133 (0.193)	Loss 2.5254 (2.6752)	Prec@1 40.625 (36.075)	Prec@5 68.750 (65.810)
Epoch: [62][4610/7045]	Time 0.379 (0.257)	Data 0.328 (0.193)	Loss 2.6987 (2.6753)	Prec@1 37.109 (36.073)	Prec@5 64.062 (65.810)
Epoch: [62][4620/7045]	Time 0.108 (0.257)	Data 0.056 (0.193)	Loss 2.7368 (2.6751)	Prec@1 30.859 (36.074)	Prec@5 60.938 (65.811)
Epoch: [62][4630/7045]	Time 0.715 (0.257)	Data 0.664 (0.193)	Loss 2.8001 (2.6751)	Prec@1 32.812 (36.073)	Prec@5 61.328 (65.811)
Epoch: [62][4640/7045]	Time 0.189 (0.257)	Data 0.137 (0.193)	Loss 2.6715 (2.6752)	Prec@1 37.891 (36.073)	Prec@5 69.531 (65.810)
Epoch: [62][4650/7045]	Time 0.475 (0.257)	Data 0.424 (0.193)	Loss 2.6601 (2.6752)	Prec@1 33.203 (36.073)	Prec@5 67.969 (65.811)
Epoch: [62][4660/7045]	Time 0.102 (0.257)	Data 0.012 (0.193)	Loss 2.9512 (2.6752)	Prec@1 35.938 (36.073)	Prec@5 63.672 (65.812)
Epoch: [62][4670/7045]	Time 0.437 (0.257)	Data 0.386 (0.193)	Loss 2.6072 (2.6753)	Prec@1 39.844 (36.072)	Prec@5 66.797 (65.810)
Epoch: [62][4680/7045]	Time 0.306 (0.257)	Data 0.255 (0.193)	Loss 2.6661 (2.6753)	Prec@1 36.328 (36.072)	Prec@5 62.109 (65.809)
Epoch: [62][4690/7045]	Time 0.457 (0.257)	Data 0.406 (0.193)	Loss 2.6087 (2.6753)	Prec@1 34.375 (36.072)	Prec@5 64.453 (65.811)
Epoch: [62][4700/7045]	Time 0.175 (0.257)	Data 0.123 (0.193)	Loss 2.5388 (2.6752)	Prec@1 38.672 (36.071)	Prec@5 69.141 (65.812)
Epoch: [62][4710/7045]	Time 0.451 (0.257)	Data 0.399 (0.193)	Loss 2.7162 (2.6753)	Prec@1 33.594 (36.069)	Prec@5 67.969 (65.812)
Epoch: [62][4720/7045]	Time 0.108 (0.257)	Data 0.058 (0.193)	Loss 2.6453 (2.6753)	Prec@1 35.938 (36.068)	Prec@5 67.969 (65.810)
Epoch: [62][4730/7045]	Time 0.630 (0.257)	Data 0.580 (0.193)	Loss 2.5865 (2.6754)	Prec@1 37.500 (36.067)	Prec@5 70.312 (65.810)
Epoch: [62][4740/7045]	Time 0.324 (0.257)	Data 0.271 (0.193)	Loss 2.5231 (2.6753)	Prec@1 38.672 (36.071)	Prec@5 67.969 (65.810)
Epoch: [62][4750/7045]	Time 0.326 (0.257)	Data 0.265 (0.193)	Loss 2.5935 (2.6753)	Prec@1 34.766 (36.070)	Prec@5 65.625 (65.809)
Epoch: [62][4760/7045]	Time 0.610 (0.257)	Data 0.550 (0.193)	Loss 2.6511 (2.6753)	Prec@1 33.984 (36.067)	Prec@5 66.797 (65.807)
Epoch: [62][4770/7045]	Time 0.102 (0.257)	Data 0.001 (0.193)	Loss 2.9156 (2.6755)	Prec@1 32.422 (36.065)	Prec@5 61.719 (65.805)
Epoch: [62][4780/7045]	Time 0.431 (0.257)	Data 0.372 (0.193)	Loss 2.5002 (2.6754)	Prec@1 37.109 (36.066)	Prec@5 64.844 (65.805)
Epoch: [62][4790/7045]	Time 0.331 (0.257)	Data 0.270 (0.193)	Loss 2.6351 (2.6753)	Prec@1 37.891 (36.069)	Prec@5 66.016 (65.806)
Epoch: [62][4800/7045]	Time 0.349 (0.257)	Data 0.299 (0.193)	Loss 2.5074 (2.6753)	Prec@1 42.969 (36.069)	Prec@5 70.703 (65.808)
Epoch: [62][4810/7045]	Time 0.467 (0.257)	Data 0.417 (0.193)	Loss 2.7082 (2.6753)	Prec@1 32.812 (36.072)	Prec@5 66.016 (65.807)
Epoch: [62][4820/7045]	Time 0.102 (0.257)	Data 0.001 (0.193)	Loss 2.4888 (2.6752)	Prec@1 39.062 (36.071)	Prec@5 67.969 (65.808)
Epoch: [62][4830/7045]	Time 0.510 (0.257)	Data 0.460 (0.193)	Loss 2.9104 (2.6751)	Prec@1 33.594 (36.075)	Prec@5 63.281 (65.809)
Epoch: [62][4840/7045]	Time 0.108 (0.257)	Data 0.057 (0.193)	Loss 2.5785 (2.6751)	Prec@1 37.891 (36.076)	Prec@5 67.578 (65.809)
Epoch: [62][4850/7045]	Time 0.838 (0.257)	Data 0.787 (0.193)	Loss 2.4631 (2.6750)	Prec@1 39.844 (36.077)	Prec@5 69.141 (65.811)
Epoch: [62][4860/7045]	Time 0.111 (0.257)	Data 0.001 (0.193)	Loss 2.6980 (2.6749)	Prec@1 34.375 (36.081)	Prec@5 61.719 (65.815)
Epoch: [62][4870/7045]	Time 0.469 (0.257)	Data 0.417 (0.193)	Loss 2.5828 (2.6747)	Prec@1 38.672 (36.083)	Prec@5 65.625 (65.817)
Epoch: [62][4880/7045]	Time 0.311 (0.257)	Data 0.258 (0.193)	Loss 2.5568 (2.6746)	Prec@1 37.500 (36.084)	Prec@5 67.578 (65.819)
Epoch: [62][4890/7045]	Time 0.098 (0.257)	Data 0.047 (0.193)	Loss 2.7085 (2.6746)	Prec@1 34.375 (36.082)	Prec@5 64.062 (65.819)
Epoch: [62][4900/7045]	Time 0.415 (0.257)	Data 0.364 (0.193)	Loss 2.4830 (2.6746)	Prec@1 40.625 (36.085)	Prec@5 67.578 (65.820)
Epoch: [62][4910/7045]	Time 0.117 (0.257)	Data 0.058 (0.193)	Loss 2.7705 (2.6745)	Prec@1 34.766 (36.086)	Prec@5 60.547 (65.820)
Epoch: [62][4920/7045]	Time 0.338 (0.257)	Data 0.287 (0.193)	Loss 2.8487 (2.6748)	Prec@1 37.109 (36.082)	Prec@5 63.672 (65.815)
Epoch: [62][4930/7045]	Time 0.154 (0.257)	Data 0.104 (0.193)	Loss 2.6456 (2.6747)	Prec@1 32.812 (36.081)	Prec@5 64.844 (65.816)
Epoch: [62][4940/7045]	Time 0.415 (0.257)	Data 0.362 (0.193)	Loss 2.4659 (2.6747)	Prec@1 41.406 (36.079)	Prec@5 73.828 (65.816)
Epoch: [62][4950/7045]	Time 0.103 (0.257)	Data 0.008 (0.193)	Loss 2.9753 (2.6749)	Prec@1 34.375 (36.078)	Prec@5 59.766 (65.814)
Epoch: [62][4960/7045]	Time 0.134 (0.257)	Data 0.082 (0.193)	Loss 2.6739 (2.6749)	Prec@1 34.375 (36.077)	Prec@5 63.672 (65.811)
Epoch: [62][4970/7045]	Time 0.288 (0.257)	Data 0.237 (0.193)	Loss 2.7889 (2.6750)	Prec@1 36.328 (36.076)	Prec@5 61.328 (65.810)
Epoch: [62][4980/7045]	Time 0.189 (0.257)	Data 0.138 (0.193)	Loss 2.5897 (2.6749)	Prec@1 38.672 (36.079)	Prec@5 67.578 (65.811)
Epoch: [62][4990/7045]	Time 0.545 (0.257)	Data 0.493 (0.193)	Loss 2.6844 (2.6750)	Prec@1 33.984 (36.078)	Prec@5 66.016 (65.809)
Epoch: [62][5000/7045]	Time 0.166 (0.257)	Data 0.114 (0.193)	Loss 2.6935 (2.6749)	Prec@1 33.594 (36.080)	Prec@5 64.844 (65.809)
Epoch: [62][5010/7045]	Time 0.346 (0.257)	Data 0.286 (0.193)	Loss 2.6991 (2.6748)	Prec@1 32.422 (36.081)	Prec@5 63.672 (65.809)
Epoch: [62][5020/7045]	Time 0.101 (0.257)	Data 0.048 (0.193)	Loss 2.8439 (2.6748)	Prec@1 32.812 (36.084)	Prec@5 61.719 (65.809)
Epoch: [62][5030/7045]	Time 0.102 (0.257)	Data 0.010 (0.193)	Loss 2.6871 (2.6747)	Prec@1 37.109 (36.085)	Prec@5 69.141 (65.810)
Epoch: [62][5040/7045]	Time 0.359 (0.257)	Data 0.309 (0.193)	Loss 2.6539 (2.6747)	Prec@1 33.203 (36.084)	Prec@5 68.750 (65.810)
Epoch: [62][5050/7045]	Time 0.316 (0.257)	Data 0.266 (0.193)	Loss 2.4941 (2.6748)	Prec@1 43.359 (36.085)	Prec@5 68.750 (65.809)
Epoch: [62][5060/7045]	Time 0.430 (0.257)	Data 0.380 (0.193)	Loss 2.6058 (2.6748)	Prec@1 34.375 (36.084)	Prec@5 66.406 (65.810)
Epoch: [62][5070/7045]	Time 0.422 (0.257)	Data 0.371 (0.193)	Loss 2.5877 (2.6747)	Prec@1 37.109 (36.087)	Prec@5 66.797 (65.811)
Epoch: [62][5080/7045]	Time 0.644 (0.257)	Data 0.592 (0.193)	Loss 2.8313 (2.6747)	Prec@1 33.984 (36.087)	Prec@5 64.453 (65.813)
Epoch: [62][5090/7045]	Time 0.112 (0.257)	Data 0.001 (0.193)	Loss 2.5680 (2.6745)	Prec@1 37.109 (36.091)	Prec@5 68.750 (65.819)
Epoch: [62][5100/7045]	Time 0.279 (0.257)	Data 0.229 (0.193)	Loss 2.6730 (2.6745)	Prec@1 37.500 (36.091)	Prec@5 66.406 (65.821)
Epoch: [62][5110/7045]	Time 0.261 (0.257)	Data 0.211 (0.193)	Loss 2.4999 (2.6743)	Prec@1 39.453 (36.093)	Prec@5 68.359 (65.825)
Epoch: [62][5120/7045]	Time 0.200 (0.257)	Data 0.150 (0.193)	Loss 2.6892 (2.6743)	Prec@1 37.500 (36.093)	Prec@5 61.328 (65.824)
Epoch: [62][5130/7045]	Time 0.330 (0.257)	Data 0.278 (0.193)	Loss 2.8213 (2.6743)	Prec@1 30.469 (36.090)	Prec@5 62.109 (65.824)
Epoch: [62][5140/7045]	Time 0.191 (0.257)	Data 0.140 (0.193)	Loss 2.6397 (2.6744)	Prec@1 37.109 (36.086)	Prec@5 66.406 (65.824)
Epoch: [62][5150/7045]	Time 0.253 (0.257)	Data 0.201 (0.193)	Loss 2.8134 (2.6744)	Prec@1 33.984 (36.084)	Prec@5 61.328 (65.824)
Epoch: [62][5160/7045]	Time 0.170 (0.257)	Data 0.119 (0.193)	Loss 2.9549 (2.6745)	Prec@1 31.250 (36.082)	Prec@5 61.719 (65.821)
Epoch: [62][5170/7045]	Time 0.415 (0.257)	Data 0.364 (0.193)	Loss 2.9990 (2.6745)	Prec@1 34.375 (36.084)	Prec@5 62.891 (65.822)
Epoch: [62][5180/7045]	Time 0.189 (0.257)	Data 0.138 (0.193)	Loss 2.9373 (2.6745)	Prec@1 32.812 (36.081)	Prec@5 60.156 (65.821)
Epoch: [62][5190/7045]	Time 0.370 (0.257)	Data 0.318 (0.193)	Loss 2.5876 (2.6745)	Prec@1 35.547 (36.080)	Prec@5 66.797 (65.820)
Epoch: [62][5200/7045]	Time 0.308 (0.257)	Data 0.256 (0.193)	Loss 2.7420 (2.6745)	Prec@1 36.328 (36.082)	Prec@5 59.766 (65.820)
Epoch: [62][5210/7045]	Time 0.257 (0.257)	Data 0.198 (0.193)	Loss 2.8562 (2.6745)	Prec@1 34.766 (36.081)	Prec@5 62.891 (65.819)
Epoch: [62][5220/7045]	Time 0.478 (0.257)	Data 0.428 (0.193)	Loss 2.7446 (2.6745)	Prec@1 36.719 (36.079)	Prec@5 64.844 (65.820)
Epoch: [62][5230/7045]	Time 0.241 (0.257)	Data 0.190 (0.193)	Loss 2.5237 (2.6743)	Prec@1 39.062 (36.081)	Prec@5 67.969 (65.822)
Epoch: [62][5240/7045]	Time 0.506 (0.257)	Data 0.455 (0.193)	Loss 2.6648 (2.6742)	Prec@1 38.672 (36.082)	Prec@5 65.234 (65.824)
Epoch: [62][5250/7045]	Time 0.249 (0.257)	Data 0.191 (0.193)	Loss 2.5311 (2.6742)	Prec@1 39.062 (36.084)	Prec@5 69.141 (65.822)
Epoch: [62][5260/7045]	Time 0.374 (0.257)	Data 0.324 (0.193)	Loss 2.6634 (2.6742)	Prec@1 35.156 (36.083)	Prec@5 66.016 (65.823)
Epoch: [62][5270/7045]	Time 0.294 (0.257)	Data 0.242 (0.193)	Loss 2.5608 (2.6742)	Prec@1 33.984 (36.083)	Prec@5 68.750 (65.822)
Epoch: [62][5280/7045]	Time 0.114 (0.257)	Data 0.001 (0.193)	Loss 2.8661 (2.6741)	Prec@1 31.250 (36.086)	Prec@5 65.625 (65.826)
Epoch: [62][5290/7045]	Time 0.226 (0.257)	Data 0.175 (0.193)	Loss 2.6277 (2.6740)	Prec@1 38.672 (36.088)	Prec@5 67.969 (65.826)
Epoch: [62][5300/7045]	Time 0.758 (0.257)	Data 0.699 (0.193)	Loss 2.5256 (2.6738)	Prec@1 39.844 (36.092)	Prec@5 68.359 (65.829)
Epoch: [62][5310/7045]	Time 0.185 (0.257)	Data 0.132 (0.193)	Loss 2.8845 (2.6739)	Prec@1 31.641 (36.092)	Prec@5 64.453 (65.829)
Epoch: [62][5320/7045]	Time 0.288 (0.257)	Data 0.238 (0.193)	Loss 2.6538 (2.6740)	Prec@1 36.719 (36.090)	Prec@5 67.578 (65.826)
Epoch: [62][5330/7045]	Time 0.111 (0.257)	Data 0.059 (0.193)	Loss 2.4948 (2.6739)	Prec@1 42.188 (36.092)	Prec@5 67.969 (65.827)
Epoch: [62][5340/7045]	Time 0.356 (0.257)	Data 0.306 (0.193)	Loss 2.9681 (2.6739)	Prec@1 33.594 (36.091)	Prec@5 57.812 (65.825)
Epoch: [62][5350/7045]	Time 0.101 (0.257)	Data 0.009 (0.193)	Loss 2.6831 (2.6739)	Prec@1 32.812 (36.090)	Prec@5 62.891 (65.824)
Epoch: [62][5360/7045]	Time 0.380 (0.257)	Data 0.328 (0.193)	Loss 2.5969 (2.6739)	Prec@1 30.859 (36.091)	Prec@5 68.750 (65.826)
Epoch: [62][5370/7045]	Time 0.111 (0.257)	Data 0.058 (0.193)	Loss 2.5625 (2.6737)	Prec@1 37.500 (36.093)	Prec@5 64.844 (65.830)
Epoch: [62][5380/7045]	Time 0.099 (0.257)	Data 0.001 (0.193)	Loss 2.8399 (2.6737)	Prec@1 33.594 (36.091)	Prec@5 62.891 (65.832)
Epoch: [62][5390/7045]	Time 0.424 (0.257)	Data 0.373 (0.193)	Loss 2.6900 (2.6737)	Prec@1 36.328 (36.090)	Prec@5 63.672 (65.832)
Epoch: [62][5400/7045]	Time 0.195 (0.257)	Data 0.142 (0.193)	Loss 2.6087 (2.6737)	Prec@1 34.766 (36.090)	Prec@5 66.406 (65.832)
Epoch: [62][5410/7045]	Time 0.490 (0.257)	Data 0.439 (0.193)	Loss 2.5419 (2.6737)	Prec@1 37.891 (36.090)	Prec@5 66.406 (65.831)
Epoch: [62][5420/7045]	Time 0.102 (0.257)	Data 0.009 (0.193)	Loss 2.4354 (2.6736)	Prec@1 40.234 (36.089)	Prec@5 73.047 (65.836)
Epoch: [62][5430/7045]	Time 0.102 (0.257)	Data 0.001 (0.193)	Loss 2.4946 (2.6736)	Prec@1 44.531 (36.093)	Prec@5 69.141 (65.835)
Epoch: [62][5440/7045]	Time 0.188 (0.257)	Data 0.138 (0.193)	Loss 2.5704 (2.6736)	Prec@1 36.719 (36.095)	Prec@5 70.703 (65.835)
Epoch: [62][5450/7045]	Time 0.108 (0.257)	Data 0.056 (0.193)	Loss 2.5915 (2.6736)	Prec@1 36.719 (36.094)	Prec@5 65.625 (65.835)
Epoch: [62][5460/7045]	Time 0.653 (0.257)	Data 0.601 (0.193)	Loss 2.5356 (2.6735)	Prec@1 34.375 (36.093)	Prec@5 67.578 (65.836)
Epoch: [62][5470/7045]	Time 0.163 (0.257)	Data 0.112 (0.193)	Loss 2.8975 (2.6736)	Prec@1 31.641 (36.092)	Prec@5 62.891 (65.835)
Epoch: [62][5480/7045]	Time 0.375 (0.257)	Data 0.324 (0.193)	Loss 2.6716 (2.6735)	Prec@1 37.891 (36.092)	Prec@5 65.234 (65.835)
Epoch: [62][5490/7045]	Time 0.108 (0.257)	Data 0.057 (0.193)	Loss 2.6930 (2.6734)	Prec@1 34.766 (36.094)	Prec@5 67.969 (65.838)
Epoch: [62][5500/7045]	Time 0.104 (0.257)	Data 0.001 (0.193)	Loss 2.4500 (2.6733)	Prec@1 40.234 (36.095)	Prec@5 68.359 (65.839)
Epoch: [62][5510/7045]	Time 0.488 (0.257)	Data 0.436 (0.193)	Loss 2.8803 (2.6734)	Prec@1 33.203 (36.095)	Prec@5 64.453 (65.838)
Epoch: [62][5520/7045]	Time 0.336 (0.257)	Data 0.284 (0.193)	Loss 2.5418 (2.6733)	Prec@1 38.672 (36.096)	Prec@5 69.531 (65.840)
Epoch: [62][5530/7045]	Time 0.123 (0.257)	Data 0.072 (0.193)	Loss 2.6003 (2.6733)	Prec@1 37.500 (36.094)	Prec@5 64.844 (65.840)
Epoch: [62][5540/7045]	Time 0.125 (0.257)	Data 0.074 (0.193)	Loss 2.7400 (2.6734)	Prec@1 35.156 (36.094)	Prec@5 66.797 (65.841)
Epoch: [62][5550/7045]	Time 0.166 (0.257)	Data 0.114 (0.193)	Loss 2.8054 (2.6733)	Prec@1 34.375 (36.097)	Prec@5 59.375 (65.842)
Epoch: [62][5560/7045]	Time 0.101 (0.257)	Data 0.050 (0.193)	Loss 2.6627 (2.6732)	Prec@1 35.938 (36.098)	Prec@5 64.453 (65.844)
Epoch: [62][5570/7045]	Time 0.278 (0.257)	Data 0.228 (0.193)	Loss 2.5125 (2.6732)	Prec@1 37.891 (36.098)	Prec@5 68.750 (65.844)
Epoch: [62][5580/7045]	Time 0.103 (0.257)	Data 0.001 (0.193)	Loss 2.8037 (2.6731)	Prec@1 32.812 (36.100)	Prec@5 64.844 (65.846)
Epoch: [62][5590/7045]	Time 0.303 (0.257)	Data 0.251 (0.193)	Loss 2.7630 (2.6731)	Prec@1 35.156 (36.102)	Prec@5 63.672 (65.845)
Epoch: [62][5600/7045]	Time 0.472 (0.257)	Data 0.413 (0.193)	Loss 2.5956 (2.6729)	Prec@1 36.328 (36.104)	Prec@5 64.453 (65.847)
Epoch: [62][5610/7045]	Time 0.109 (0.257)	Data 0.057 (0.193)	Loss 2.7617 (2.6729)	Prec@1 32.422 (36.104)	Prec@5 62.891 (65.847)
Epoch: [62][5620/7045]	Time 0.609 (0.257)	Data 0.557 (0.193)	Loss 2.6690 (2.6730)	Prec@1 37.109 (36.105)	Prec@5 69.141 (65.848)
Epoch: [62][5630/7045]	Time 0.161 (0.257)	Data 0.110 (0.193)	Loss 2.7260 (2.6730)	Prec@1 38.672 (36.103)	Prec@5 66.016 (65.847)
Epoch: [62][5640/7045]	Time 0.441 (0.257)	Data 0.389 (0.193)	Loss 2.5818 (2.6730)	Prec@1 40.234 (36.105)	Prec@5 69.531 (65.848)
Epoch: [62][5650/7045]	Time 0.102 (0.257)	Data 0.022 (0.193)	Loss 2.5441 (2.6728)	Prec@1 40.625 (36.109)	Prec@5 69.141 (65.851)
Epoch: [62][5660/7045]	Time 0.283 (0.257)	Data 0.231 (0.193)	Loss 2.6751 (2.6726)	Prec@1 33.984 (36.112)	Prec@5 67.969 (65.854)
Epoch: [62][5670/7045]	Time 0.183 (0.257)	Data 0.132 (0.193)	Loss 2.5807 (2.6724)	Prec@1 35.156 (36.115)	Prec@5 67.578 (65.859)
Epoch: [62][5680/7045]	Time 0.339 (0.257)	Data 0.286 (0.193)	Loss 2.7992 (2.6724)	Prec@1 33.594 (36.115)	Prec@5 61.328 (65.860)
Epoch: [62][5690/7045]	Time 0.281 (0.257)	Data 0.230 (0.193)	Loss 2.7319 (2.6724)	Prec@1 34.375 (36.117)	Prec@5 64.844 (65.860)
Epoch: [62][5700/7045]	Time 0.436 (0.257)	Data 0.385 (0.193)	Loss 2.8835 (2.6726)	Prec@1 35.547 (36.116)	Prec@5 62.109 (65.858)
Epoch: [62][5710/7045]	Time 0.102 (0.257)	Data 0.001 (0.193)	Loss 2.8074 (2.6726)	Prec@1 32.812 (36.115)	Prec@5 62.891 (65.858)
Epoch: [62][5720/7045]	Time 0.655 (0.257)	Data 0.605 (0.193)	Loss 2.7658 (2.6726)	Prec@1 37.500 (36.119)	Prec@5 64.062 (65.860)
Epoch: [62][5730/7045]	Time 0.102 (0.257)	Data 0.008 (0.193)	Loss 2.5656 (2.6726)	Prec@1 37.500 (36.118)	Prec@5 67.969 (65.861)
Epoch: [62][5740/7045]	Time 0.500 (0.257)	Data 0.442 (0.193)	Loss 2.6617 (2.6726)	Prec@1 36.719 (36.116)	Prec@5 65.625 (65.860)
Epoch: [62][5750/7045]	Time 0.335 (0.257)	Data 0.285 (0.193)	Loss 2.5134 (2.6725)	Prec@1 39.453 (36.120)	Prec@5 69.141 (65.863)
Epoch: [62][5760/7045]	Time 0.111 (0.257)	Data 0.014 (0.193)	Loss 2.7538 (2.6725)	Prec@1 35.547 (36.120)	Prec@5 62.500 (65.862)
Epoch: [62][5770/7045]	Time 0.363 (0.257)	Data 0.312 (0.193)	Loss 2.6890 (2.6725)	Prec@1 40.234 (36.122)	Prec@5 64.062 (65.860)
Epoch: [62][5780/7045]	Time 0.107 (0.257)	Data 0.012 (0.193)	Loss 2.6285 (2.6725)	Prec@1 35.156 (36.121)	Prec@5 64.453 (65.860)
Epoch: [62][5790/7045]	Time 0.401 (0.257)	Data 0.351 (0.193)	Loss 2.4473 (2.6725)	Prec@1 33.203 (36.120)	Prec@5 71.484 (65.861)
Epoch: [62][5800/7045]	Time 0.101 (0.257)	Data 0.006 (0.193)	Loss 2.6625 (2.6725)	Prec@1 38.672 (36.122)	Prec@5 67.188 (65.859)
Epoch: [62][5810/7045]	Time 0.412 (0.257)	Data 0.361 (0.193)	Loss 2.9192 (2.6726)	Prec@1 30.469 (36.121)	Prec@5 59.766 (65.854)
Epoch: [62][5820/7045]	Time 0.102 (0.257)	Data 0.001 (0.193)	Loss 2.7434 (2.6726)	Prec@1 32.422 (36.120)	Prec@5 63.672 (65.853)
Epoch: [62][5830/7045]	Time 0.259 (0.257)	Data 0.208 (0.193)	Loss 2.8221 (2.6727)	Prec@1 33.203 (36.118)	Prec@5 61.328 (65.850)
Epoch: [62][5840/7045]	Time 0.104 (0.257)	Data 0.052 (0.193)	Loss 2.5767 (2.6727)	Prec@1 36.719 (36.118)	Prec@5 68.359 (65.850)
Epoch: [62][5850/7045]	Time 0.685 (0.257)	Data 0.627 (0.193)	Loss 2.5765 (2.6727)	Prec@1 33.984 (36.116)	Prec@5 67.188 (65.849)
Epoch: [62][5860/7045]	Time 0.129 (0.257)	Data 0.078 (0.193)	Loss 2.7151 (2.6727)	Prec@1 30.859 (36.116)	Prec@5 67.578 (65.851)
Epoch: [62][5870/7045]	Time 0.563 (0.257)	Data 0.513 (0.193)	Loss 2.5588 (2.6726)	Prec@1 39.062 (36.118)	Prec@5 66.797 (65.852)
Epoch: [62][5880/7045]	Time 0.483 (0.257)	Data 0.433 (0.193)	Loss 2.6866 (2.6726)	Prec@1 37.109 (36.119)	Prec@5 68.750 (65.853)
Epoch: [62][5890/7045]	Time 0.148 (0.257)	Data 0.098 (0.193)	Loss 2.6446 (2.6727)	Prec@1 37.891 (36.118)	Prec@5 65.234 (65.850)
Epoch: [62][5900/7045]	Time 0.470 (0.257)	Data 0.419 (0.193)	Loss 2.7064 (2.6726)	Prec@1 34.766 (36.119)	Prec@5 64.453 (65.852)
Epoch: [62][5910/7045]	Time 0.105 (0.257)	Data 0.014 (0.193)	Loss 2.6399 (2.6725)	Prec@1 32.422 (36.119)	Prec@5 65.625 (65.854)
Epoch: [62][5920/7045]	Time 0.235 (0.257)	Data 0.184 (0.193)	Loss 2.6145 (2.6725)	Prec@1 39.453 (36.122)	Prec@5 69.141 (65.855)
Epoch: [62][5930/7045]	Time 0.102 (0.257)	Data 0.001 (0.193)	Loss 2.6677 (2.6727)	Prec@1 42.188 (36.122)	Prec@5 64.844 (65.853)
Epoch: [62][5940/7045]	Time 0.104 (0.257)	Data 0.001 (0.193)	Loss 2.7541 (2.6726)	Prec@1 35.547 (36.123)	Prec@5 65.234 (65.853)
Epoch: [62][5950/7045]	Time 0.222 (0.257)	Data 0.170 (0.193)	Loss 2.4679 (2.6725)	Prec@1 39.062 (36.125)	Prec@5 70.312 (65.855)
Epoch: [62][5960/7045]	Time 0.152 (0.257)	Data 0.100 (0.193)	Loss 2.7091 (2.6724)	Prec@1 35.156 (36.127)	Prec@5 62.891 (65.855)
Epoch: [62][5970/7045]	Time 0.139 (0.257)	Data 0.088 (0.193)	Loss 2.8808 (2.6724)	Prec@1 34.766 (36.128)	Prec@5 61.328 (65.857)
Epoch: [62][5980/7045]	Time 0.522 (0.257)	Data 0.471 (0.193)	Loss 2.5760 (2.6722)	Prec@1 38.281 (36.131)	Prec@5 69.141 (65.860)
Epoch: [62][5990/7045]	Time 0.108 (0.257)	Data 0.056 (0.193)	Loss 2.7371 (2.6724)	Prec@1 33.984 (36.130)	Prec@5 65.625 (65.858)
Epoch: [62][6000/7045]	Time 0.751 (0.257)	Data 0.699 (0.193)	Loss 2.5847 (2.6722)	Prec@1 38.281 (36.133)	Prec@5 67.188 (65.862)
Epoch: [62][6010/7045]	Time 0.102 (0.257)	Data 0.001 (0.193)	Loss 2.5471 (2.6722)	Prec@1 39.844 (36.134)	Prec@5 69.922 (65.862)
Epoch: [62][6020/7045]	Time 0.624 (0.257)	Data 0.572 (0.193)	Loss 2.7259 (2.6723)	Prec@1 37.891 (36.133)	Prec@5 69.141 (65.860)
Epoch: [62][6030/7045]	Time 0.247 (0.257)	Data 0.188 (0.193)	Loss 2.7994 (2.6724)	Prec@1 37.891 (36.132)	Prec@5 62.891 (65.857)
Epoch: [62][6040/7045]	Time 0.628 (0.257)	Data 0.578 (0.193)	Loss 2.7616 (2.6723)	Prec@1 33.594 (36.134)	Prec@5 63.281 (65.859)
Epoch: [62][6050/7045]	Time 0.102 (0.257)	Data 0.008 (0.193)	Loss 2.6474 (2.6723)	Prec@1 32.422 (36.134)	Prec@5 68.750 (65.860)
Epoch: [62][6060/7045]	Time 0.401 (0.257)	Data 0.350 (0.193)	Loss 2.6162 (2.6722)	Prec@1 35.156 (36.133)	Prec@5 69.922 (65.861)
Epoch: [62][6070/7045]	Time 0.179 (0.257)	Data 0.122 (0.193)	Loss 2.7653 (2.6723)	Prec@1 35.156 (36.130)	Prec@5 65.625 (65.862)
Epoch: [62][6080/7045]	Time 0.405 (0.257)	Data 0.346 (0.194)	Loss 2.6257 (2.6723)	Prec@1 34.766 (36.132)	Prec@5 66.016 (65.860)
Epoch: [62][6090/7045]	Time 0.384 (0.257)	Data 0.334 (0.194)	Loss 2.6678 (2.6723)	Prec@1 33.594 (36.129)	Prec@5 63.672 (65.861)
Epoch: [62][6100/7045]	Time 0.235 (0.257)	Data 0.184 (0.194)	Loss 2.5686 (2.6722)	Prec@1 37.891 (36.132)	Prec@5 68.750 (65.862)
Epoch: [62][6110/7045]	Time 0.117 (0.257)	Data 0.065 (0.194)	Loss 2.6579 (2.6722)	Prec@1 36.328 (36.135)	Prec@5 65.625 (65.864)
Epoch: [62][6120/7045]	Time 0.231 (0.257)	Data 0.181 (0.194)	Loss 2.8123 (2.6721)	Prec@1 33.203 (36.134)	Prec@5 61.328 (65.863)
Epoch: [62][6130/7045]	Time 0.102 (0.257)	Data 0.001 (0.194)	Loss 2.6057 (2.6721)	Prec@1 37.109 (36.135)	Prec@5 66.016 (65.864)
Epoch: [62][6140/7045]	Time 0.102 (0.257)	Data 0.001 (0.194)	Loss 2.6394 (2.6720)	Prec@1 35.156 (36.136)	Prec@5 65.625 (65.866)
Epoch: [62][6150/7045]	Time 0.109 (0.257)	Data 0.001 (0.194)	Loss 2.8327 (2.6720)	Prec@1 30.078 (36.133)	Prec@5 66.016 (65.866)
Epoch: [62][6160/7045]	Time 0.101 (0.257)	Data 0.001 (0.193)	Loss 2.6718 (2.6719)	Prec@1 39.453 (36.134)	Prec@5 64.844 (65.868)
Epoch: [62][6170/7045]	Time 0.162 (0.257)	Data 0.105 (0.194)	Loss 2.7984 (2.6719)	Prec@1 37.500 (36.133)	Prec@5 62.891 (65.868)
Epoch: [62][6180/7045]	Time 0.109 (0.257)	Data 0.057 (0.193)	Loss 2.5400 (2.6719)	Prec@1 39.844 (36.133)	Prec@5 67.188 (65.867)
Epoch: [62][6190/7045]	Time 0.118 (0.257)	Data 0.066 (0.194)	Loss 2.8745 (2.6719)	Prec@1 34.375 (36.133)	Prec@5 62.109 (65.867)
Epoch: [62][6200/7045]	Time 0.244 (0.257)	Data 0.193 (0.194)	Loss 2.7659 (2.6720)	Prec@1 35.547 (36.132)	Prec@5 64.453 (65.865)
Epoch: [62][6210/7045]	Time 0.102 (0.257)	Data 0.017 (0.194)	Loss 2.6614 (2.6720)	Prec@1 36.719 (36.131)	Prec@5 67.969 (65.867)
Epoch: [62][6220/7045]	Time 0.481 (0.257)	Data 0.430 (0.194)	Loss 2.4072 (2.6719)	Prec@1 41.016 (36.132)	Prec@5 70.703 (65.869)
Epoch: [62][6230/7045]	Time 0.102 (0.257)	Data 0.015 (0.194)	Loss 2.8312 (2.6719)	Prec@1 34.766 (36.133)	Prec@5 62.109 (65.870)
Epoch: [62][6240/7045]	Time 0.101 (0.257)	Data 0.005 (0.194)	Loss 2.4851 (2.6719)	Prec@1 38.672 (36.133)	Prec@5 71.094 (65.869)
Epoch: [62][6250/7045]	Time 0.429 (0.257)	Data 0.378 (0.194)	Loss 2.7850 (2.6720)	Prec@1 33.984 (36.133)	Prec@5 65.234 (65.868)
Epoch: [62][6260/7045]	Time 0.102 (0.257)	Data 0.001 (0.194)	Loss 2.7364 (2.6721)	Prec@1 30.859 (36.131)	Prec@5 64.062 (65.866)
Epoch: [62][6270/7045]	Time 0.413 (0.257)	Data 0.355 (0.194)	Loss 2.8628 (2.6721)	Prec@1 27.344 (36.131)	Prec@5 64.453 (65.866)
Epoch: [62][6280/7045]	Time 0.104 (0.257)	Data 0.052 (0.194)	Loss 2.8972 (2.6720)	Prec@1 35.156 (36.131)	Prec@5 64.844 (65.868)
Epoch: [62][6290/7045]	Time 0.231 (0.257)	Data 0.180 (0.194)	Loss 2.5306 (2.6719)	Prec@1 40.234 (36.132)	Prec@5 66.016 (65.869)
Epoch: [62][6300/7045]	Time 0.108 (0.257)	Data 0.057 (0.194)	Loss 2.7458 (2.6718)	Prec@1 35.938 (36.133)	Prec@5 64.062 (65.871)
Epoch: [62][6310/7045]	Time 0.322 (0.257)	Data 0.270 (0.194)	Loss 2.6607 (2.6718)	Prec@1 35.156 (36.134)	Prec@5 66.406 (65.873)
Epoch: [62][6320/7045]	Time 0.137 (0.257)	Data 0.085 (0.194)	Loss 2.5701 (2.6717)	Prec@1 37.891 (36.136)	Prec@5 69.531 (65.875)
Epoch: [62][6330/7045]	Time 0.225 (0.257)	Data 0.173 (0.194)	Loss 2.4723 (2.6717)	Prec@1 39.453 (36.136)	Prec@5 69.141 (65.876)
Epoch: [62][6340/7045]	Time 0.102 (0.257)	Data 0.001 (0.194)	Loss 2.6142 (2.6717)	Prec@1 37.500 (36.136)	Prec@5 70.703 (65.876)
Epoch: [62][6350/7045]	Time 0.198 (0.257)	Data 0.148 (0.194)	Loss 2.5964 (2.6718)	Prec@1 35.938 (36.133)	Prec@5 66.797 (65.874)
Epoch: [62][6360/7045]	Time 0.453 (0.257)	Data 0.403 (0.194)	Loss 2.7455 (2.6718)	Prec@1 34.375 (36.132)	Prec@5 63.672 (65.875)
Epoch: [62][6370/7045]	Time 0.103 (0.257)	Data 0.001 (0.194)	Loss 2.8724 (2.6717)	Prec@1 30.859 (36.135)	Prec@5 59.766 (65.876)
Epoch: [62][6380/7045]	Time 0.436 (0.257)	Data 0.386 (0.194)	Loss 2.6166 (2.6717)	Prec@1 37.500 (36.134)	Prec@5 66.406 (65.875)
Epoch: [62][6390/7045]	Time 0.111 (0.257)	Data 0.058 (0.194)	Loss 2.7836 (2.6717)	Prec@1 33.203 (36.135)	Prec@5 65.625 (65.876)
Epoch: [62][6400/7045]	Time 0.726 (0.257)	Data 0.674 (0.194)	Loss 2.5639 (2.6716)	Prec@1 37.109 (36.138)	Prec@5 66.406 (65.877)
Epoch: [62][6410/7045]	Time 0.101 (0.257)	Data 0.001 (0.193)	Loss 2.6574 (2.6716)	Prec@1 33.594 (36.138)	Prec@5 64.844 (65.877)
Epoch: [62][6420/7045]	Time 0.467 (0.257)	Data 0.410 (0.193)	Loss 2.6837 (2.6716)	Prec@1 35.938 (36.137)	Prec@5 70.703 (65.876)
Epoch: [62][6430/7045]	Time 0.102 (0.257)	Data 0.001 (0.193)	Loss 2.6941 (2.6716)	Prec@1 36.328 (36.138)	Prec@5 63.672 (65.874)
Epoch: [62][6440/7045]	Time 0.241 (0.257)	Data 0.190 (0.193)	Loss 2.7468 (2.6716)	Prec@1 32.812 (36.136)	Prec@5 63.672 (65.874)
Epoch: [62][6450/7045]	Time 0.185 (0.257)	Data 0.133 (0.193)	Loss 2.4684 (2.6717)	Prec@1 37.500 (36.134)	Prec@5 70.703 (65.872)
Epoch: [62][6460/7045]	Time 0.102 (0.257)	Data 0.007 (0.193)	Loss 2.3543 (2.6717)	Prec@1 39.453 (36.133)	Prec@5 71.875 (65.870)
Epoch: [62][6470/7045]	Time 0.108 (0.257)	Data 0.001 (0.193)	Loss 2.6107 (2.6717)	Prec@1 36.328 (36.131)	Prec@5 67.188 (65.870)
Epoch: [62][6480/7045]	Time 0.099 (0.257)	Data 0.001 (0.193)	Loss 2.7563 (2.6717)	Prec@1 35.938 (36.132)	Prec@5 65.234 (65.871)
Epoch: [62][6490/7045]	Time 0.170 (0.257)	Data 0.117 (0.193)	Loss 2.6707 (2.6716)	Prec@1 38.281 (36.134)	Prec@5 67.188 (65.872)
Epoch: [62][6500/7045]	Time 0.429 (0.257)	Data 0.377 (0.193)	Loss 2.6132 (2.6716)	Prec@1 32.812 (36.132)	Prec@5 66.797 (65.872)
Epoch: [62][6510/7045]	Time 0.275 (0.257)	Data 0.216 (0.193)	Loss 2.4599 (2.6715)	Prec@1 39.844 (36.134)	Prec@5 70.312 (65.873)
Epoch: [62][6520/7045]	Time 0.400 (0.257)	Data 0.348 (0.193)	Loss 2.5804 (2.6715)	Prec@1 33.984 (36.132)	Prec@5 67.188 (65.873)
Epoch: [62][6530/7045]	Time 0.108 (0.257)	Data 0.056 (0.193)	Loss 2.6341 (2.6715)	Prec@1 37.500 (36.131)	Prec@5 65.234 (65.872)
Epoch: [62][6540/7045]	Time 0.241 (0.257)	Data 0.187 (0.193)	Loss 2.7327 (2.6716)	Prec@1 35.156 (36.131)	Prec@5 65.625 (65.871)
Epoch: [62][6550/7045]	Time 0.145 (0.257)	Data 0.094 (0.193)	Loss 2.7761 (2.6716)	Prec@1 34.375 (36.129)	Prec@5 62.109 (65.869)
Epoch: [62][6560/7045]	Time 0.101 (0.257)	Data 0.048 (0.193)	Loss 2.7075 (2.6716)	Prec@1 33.984 (36.129)	Prec@5 62.891 (65.869)
Epoch: [62][6570/7045]	Time 0.109 (0.257)	Data 0.056 (0.193)	Loss 2.5986 (2.6716)	Prec@1 37.500 (36.130)	Prec@5 64.453 (65.868)
Epoch: [62][6580/7045]	Time 0.168 (0.257)	Data 0.117 (0.193)	Loss 2.8459 (2.6717)	Prec@1 31.641 (36.129)	Prec@5 63.281 (65.869)
Epoch: [62][6590/7045]	Time 0.102 (0.257)	Data 0.009 (0.193)	Loss 2.6278 (2.6718)	Prec@1 36.719 (36.128)	Prec@5 67.969 (65.868)
Epoch: [62][6600/7045]	Time 0.666 (0.257)	Data 0.614 (0.193)	Loss 2.8406 (2.6717)	Prec@1 36.719 (36.128)	Prec@5 61.719 (65.868)
Epoch: [62][6610/7045]	Time 0.102 (0.257)	Data 0.001 (0.193)	Loss 2.4532 (2.6717)	Prec@1 39.062 (36.128)	Prec@5 67.578 (65.869)
Epoch: [62][6620/7045]	Time 0.579 (0.257)	Data 0.527 (0.193)	Loss 2.5927 (2.6716)	Prec@1 35.938 (36.131)	Prec@5 67.188 (65.871)
Epoch: [62][6630/7045]	Time 0.110 (0.257)	Data 0.058 (0.193)	Loss 2.8467 (2.6716)	Prec@1 32.812 (36.131)	Prec@5 59.375 (65.870)
Epoch: [62][6640/7045]	Time 0.518 (0.257)	Data 0.466 (0.193)	Loss 2.7248 (2.6716)	Prec@1 38.672 (36.132)	Prec@5 63.672 (65.870)
Epoch: [62][6650/7045]	Time 0.260 (0.257)	Data 0.209 (0.193)	Loss 2.6909 (2.6717)	Prec@1 37.891 (36.131)	Prec@5 66.406 (65.871)
Epoch: [62][6660/7045]	Time 0.160 (0.257)	Data 0.109 (0.193)	Loss 2.6719 (2.6716)	Prec@1 37.109 (36.133)	Prec@5 67.969 (65.871)
Epoch: [62][6670/7045]	Time 0.253 (0.257)	Data 0.202 (0.193)	Loss 2.6951 (2.6717)	Prec@1 37.500 (36.131)	Prec@5 64.062 (65.868)
Epoch: [62][6680/7045]	Time 0.243 (0.257)	Data 0.191 (0.193)	Loss 2.4840 (2.6717)	Prec@1 39.844 (36.132)	Prec@5 71.484 (65.868)
Epoch: [62][6690/7045]	Time 0.101 (0.257)	Data 0.001 (0.193)	Loss 2.6002 (2.6717)	Prec@1 41.016 (36.132)	Prec@5 67.578 (65.868)
Epoch: [62][6700/7045]	Time 0.103 (0.257)	Data 0.007 (0.193)	Loss 2.8279 (2.6717)	Prec@1 31.250 (36.133)	Prec@5 61.719 (65.868)
Epoch: [62][6710/7045]	Time 0.471 (0.257)	Data 0.413 (0.193)	Loss 2.6636 (2.6717)	Prec@1 40.625 (36.135)	Prec@5 66.406 (65.870)
Epoch: [62][6720/7045]	Time 0.102 (0.257)	Data 0.012 (0.193)	Loss 2.4498 (2.6717)	Prec@1 36.719 (36.134)	Prec@5 70.312 (65.868)
Epoch: [62][6730/7045]	Time 0.342 (0.257)	Data 0.291 (0.193)	Loss 2.7224 (2.6716)	Prec@1 30.469 (36.133)	Prec@5 62.500 (65.869)
Epoch: [62][6740/7045]	Time 0.232 (0.257)	Data 0.182 (0.193)	Loss 2.4798 (2.6717)	Prec@1 39.062 (36.131)	Prec@5 71.094 (65.867)
Epoch: [62][6750/7045]	Time 0.206 (0.257)	Data 0.155 (0.193)	Loss 2.7162 (2.6717)	Prec@1 37.891 (36.131)	Prec@5 67.578 (65.867)
Epoch: [62][6760/7045]	Time 0.340 (0.257)	Data 0.288 (0.193)	Loss 2.8015 (2.6717)	Prec@1 36.719 (36.131)	Prec@5 62.891 (65.866)
Epoch: [62][6770/7045]	Time 0.102 (0.257)	Data 0.001 (0.193)	Loss 2.6197 (2.6716)	Prec@1 35.938 (36.131)	Prec@5 67.578 (65.867)
Epoch: [62][6780/7045]	Time 0.109 (0.257)	Data 0.058 (0.193)	Loss 2.5743 (2.6716)	Prec@1 37.891 (36.132)	Prec@5 68.750 (65.871)
Epoch: [62][6790/7045]	Time 0.102 (0.257)	Data 0.012 (0.193)	Loss 2.7260 (2.6716)	Prec@1 34.375 (36.132)	Prec@5 63.672 (65.868)
Epoch: [62][6800/7045]	Time 0.104 (0.257)	Data 0.051 (0.193)	Loss 2.6257 (2.6715)	Prec@1 35.547 (36.135)	Prec@5 67.969 (65.869)
Epoch: [62][6810/7045]	Time 0.101 (0.257)	Data 0.001 (0.193)	Loss 2.9968 (2.6717)	Prec@1 33.203 (36.132)	Prec@5 60.938 (65.866)
Epoch: [62][6820/7045]	Time 0.205 (0.257)	Data 0.154 (0.193)	Loss 2.5872 (2.6717)	Prec@1 35.156 (36.131)	Prec@5 66.016 (65.866)
Epoch: [62][6830/7045]	Time 0.298 (0.257)	Data 0.247 (0.193)	Loss 2.7225 (2.6718)	Prec@1 36.719 (36.130)	Prec@5 66.406 (65.866)
Epoch: [62][6840/7045]	Time 0.276 (0.257)	Data 0.226 (0.193)	Loss 2.9378 (2.6717)	Prec@1 33.594 (36.130)	Prec@5 63.281 (65.867)
Epoch: [62][6850/7045]	Time 0.431 (0.257)	Data 0.380 (0.193)	Loss 2.7682 (2.6717)	Prec@1 34.375 (36.129)	Prec@5 65.625 (65.869)
Epoch: [62][6860/7045]	Time 0.276 (0.257)	Data 0.224 (0.193)	Loss 2.5908 (2.6717)	Prec@1 34.766 (36.129)	Prec@5 67.969 (65.869)
Epoch: [62][6870/7045]	Time 0.431 (0.257)	Data 0.379 (0.193)	Loss 2.5564 (2.6716)	Prec@1 36.328 (36.131)	Prec@5 67.578 (65.871)
Epoch: [62][6880/7045]	Time 0.370 (0.257)	Data 0.317 (0.193)	Loss 2.8305 (2.6716)	Prec@1 32.812 (36.132)	Prec@5 67.578 (65.875)
Epoch: [62][6890/7045]	Time 0.346 (0.257)	Data 0.295 (0.193)	Loss 2.6371 (2.6715)	Prec@1 39.062 (36.133)	Prec@5 69.141 (65.876)
Epoch: [62][6900/7045]	Time 0.286 (0.257)	Data 0.235 (0.193)	Loss 2.6563 (2.6715)	Prec@1 39.453 (36.133)	Prec@5 65.234 (65.875)
Epoch: [62][6910/7045]	Time 0.145 (0.257)	Data 0.090 (0.193)	Loss 2.6802 (2.6715)	Prec@1 35.156 (36.132)	Prec@5 65.625 (65.874)
Epoch: [62][6920/7045]	Time 0.376 (0.257)	Data 0.325 (0.193)	Loss 2.7508 (2.6715)	Prec@1 35.156 (36.131)	Prec@5 63.281 (65.873)
Epoch: [62][6930/7045]	Time 0.102 (0.257)	Data 0.018 (0.193)	Loss 2.5860 (2.6715)	Prec@1 38.281 (36.132)	Prec@5 67.969 (65.873)
Epoch: [62][6940/7045]	Time 0.106 (0.257)	Data 0.053 (0.193)	Loss 2.8091 (2.6715)	Prec@1 37.109 (36.131)	Prec@5 61.328 (65.871)
Epoch: [62][6950/7045]	Time 0.147 (0.257)	Data 0.094 (0.193)	Loss 2.5688 (2.6716)	Prec@1 35.156 (36.130)	Prec@5 68.750 (65.869)
Epoch: [62][6960/7045]	Time 0.227 (0.257)	Data 0.176 (0.193)	Loss 2.3044 (2.6716)	Prec@1 42.578 (36.129)	Prec@5 74.219 (65.870)
Epoch: [62][6970/7045]	Time 0.128 (0.257)	Data 0.076 (0.193)	Loss 2.8112 (2.6717)	Prec@1 33.203 (36.127)	Prec@5 63.281 (65.868)
Epoch: [62][6980/7045]	Time 0.174 (0.257)	Data 0.122 (0.193)	Loss 2.7748 (2.6717)	Prec@1 33.203 (36.128)	Prec@5 64.062 (65.870)
Epoch: [62][6990/7045]	Time 0.168 (0.257)	Data 0.116 (0.193)	Loss 2.8076 (2.6717)	Prec@1 34.375 (36.126)	Prec@5 63.281 (65.870)
Epoch: [62][7000/7045]	Time 0.470 (0.257)	Data 0.420 (0.193)	Loss 2.6326 (2.6716)	Prec@1 39.062 (36.128)	Prec@5 65.625 (65.871)
Epoch: [62][7010/7045]	Time 0.143 (0.257)	Data 0.087 (0.193)	Loss 2.7870 (2.6716)	Prec@1 32.422 (36.127)	Prec@5 60.547 (65.871)
Epoch: [62][7020/7045]	Time 0.437 (0.257)	Data 0.386 (0.193)	Loss 2.5757 (2.6716)	Prec@1 38.672 (36.129)	Prec@5 66.406 (65.872)
Epoch: [62][7030/7045]	Time 0.153 (0.257)	Data 0.102 (0.193)	Loss 2.8202 (2.6715)	Prec@1 28.125 (36.128)	Prec@5 65.234 (65.874)
Epoch: [62][7040/7045]	Time 0.429 (0.257)	Data 0.379 (0.193)	Loss 2.6556 (2.6715)	Prec@1 33.984 (36.129)	Prec@5 66.406 (65.874)
Test: [0/143]	Time 1.255 (1.255)	Loss 2.2710 (2.2710)	Prec@1 46.484 (46.484)	Prec@5 76.562 (76.562)
Test: [10/143]	Time 0.135 (0.267)	Loss 1.7153 (2.0928)	Prec@1 61.719 (48.686)	Prec@5 81.641 (77.699)
Test: [20/143]	Time 0.490 (0.237)	Loss 2.3510 (2.0768)	Prec@1 43.359 (47.638)	Prec@5 73.828 (78.553)
Test: [30/143]	Time 0.050 (0.218)	Loss 2.3351 (2.1049)	Prec@1 46.094 (47.354)	Prec@5 69.531 (77.344)
Test: [40/143]	Time 0.202 (0.210)	Loss 2.8085 (2.1445)	Prec@1 23.438 (46.113)	Prec@5 66.797 (76.534)
Test: [50/143]	Time 0.049 (0.211)	Loss 2.0550 (2.1905)	Prec@1 40.234 (44.593)	Prec@5 80.859 (76.065)
Test: [60/143]	Time 0.113 (0.204)	Loss 2.4567 (2.1838)	Prec@1 32.422 (44.602)	Prec@5 72.266 (76.172)
Test: [70/143]	Time 0.048 (0.204)	Loss 3.0248 (2.1762)	Prec@1 24.219 (44.724)	Prec@5 58.594 (76.260)
Test: [80/143]	Time 0.065 (0.199)	Loss 2.1231 (2.1677)	Prec@1 46.484 (44.946)	Prec@5 79.297 (76.500)
Test: [90/143]	Time 0.399 (0.202)	Loss 1.8552 (2.1631)	Prec@1 54.688 (45.115)	Prec@5 83.984 (76.524)
Test: [100/143]	Time 0.125 (0.198)	Loss 2.0102 (2.1618)	Prec@1 51.562 (45.034)	Prec@5 84.375 (76.597)
Test: [110/143]	Time 0.599 (0.200)	Loss 1.9809 (2.1588)	Prec@1 50.781 (45.253)	Prec@5 80.078 (76.686)
Test: [120/143]	Time 0.219 (0.198)	Loss 1.7955 (2.1496)	Prec@1 56.641 (45.513)	Prec@5 84.375 (76.827)
Test: [130/143]	Time 0.162 (0.197)	Loss 1.6589 (2.1593)	Prec@1 64.844 (45.426)	Prec@5 79.688 (76.518)
Test: [140/143]	Time 0.334 (0.196)	Loss 3.2452 (2.1825)	Prec@1 16.016 (44.878)	Prec@5 59.375 (76.083)
 * Prec@1 44.907 Prec@5 76.104
Epoch: [63][0/7045]	Time 2.610 (2.610)	Data 2.551 (2.551)	Loss 2.5817 (2.5817)	Prec@1 34.766 (34.766)	Prec@5 66.406 (66.406)
Epoch: [63][10/7045]	Time 0.218 (0.439)	Data 0.168 (0.359)	Loss 2.6093 (2.6377)	Prec@1 42.969 (36.932)	Prec@5 67.969 (66.619)
Epoch: [63][20/7045]	Time 0.388 (0.353)	Data 0.336 (0.280)	Loss 2.5617 (2.6413)	Prec@1 39.844 (37.035)	Prec@5 67.969 (66.183)
Epoch: [63][30/7045]	Time 0.451 (0.321)	Data 0.399 (0.253)	Loss 2.6373 (2.6377)	Prec@1 35.938 (36.883)	Prec@5 65.234 (66.494)
Epoch: [63][40/7045]	Time 0.320 (0.302)	Data 0.269 (0.235)	Loss 2.6798 (2.6499)	Prec@1 35.938 (36.414)	Prec@5 66.016 (66.349)
Epoch: [63][50/7045]	Time 0.583 (0.294)	Data 0.531 (0.229)	Loss 2.6228 (2.6460)	Prec@1 34.766 (36.581)	Prec@5 65.625 (66.299)
Epoch: [63][60/7045]	Time 0.101 (0.285)	Data 0.001 (0.219)	Loss 2.7072 (2.6595)	Prec@1 36.328 (36.360)	Prec@5 63.672 (66.092)
Epoch: [63][70/7045]	Time 0.691 (0.284)	Data 0.637 (0.215)	Loss 2.5392 (2.6612)	Prec@1 39.844 (36.422)	Prec@5 67.578 (66.082)
Epoch: [63][80/7045]	Time 0.103 (0.276)	Data 0.001 (0.205)	Loss 2.7262 (2.6579)	Prec@1 36.719 (36.521)	Prec@5 66.016 (66.073)
Epoch: [63][90/7045]	Time 0.551 (0.275)	Data 0.496 (0.204)	Loss 2.7412 (2.6690)	Prec@1 33.984 (36.238)	Prec@5 66.406 (65.844)
Epoch: [63][100/7045]	Time 0.105 (0.270)	Data 0.013 (0.200)	Loss 2.5409 (2.6688)	Prec@1 39.062 (36.204)	Prec@5 65.625 (65.849)
Epoch: [63][110/7045]	Time 0.110 (0.271)	Data 0.009 (0.201)	Loss 2.6213 (2.6655)	Prec@1 34.375 (36.194)	Prec@5 68.750 (65.998)
Epoch: [63][120/7045]	Time 0.138 (0.267)	Data 0.087 (0.198)	Loss 2.5839 (2.6649)	Prec@1 41.406 (36.225)	Prec@5 67.578 (66.003)
Epoch: [63][130/7045]	Time 0.110 (0.268)	Data 0.001 (0.199)	Loss 2.7479 (2.6663)	Prec@1 35.547 (36.251)	Prec@5 64.453 (65.995)
Epoch: [63][140/7045]	Time 0.103 (0.265)	Data 0.002 (0.196)	Loss 2.6273 (2.6648)	Prec@1 37.500 (36.298)	Prec@5 65.234 (65.957)
Epoch: [63][150/7045]	Time 0.306 (0.266)	Data 0.256 (0.197)	Loss 2.7132 (2.6634)	Prec@1 36.328 (36.357)	Prec@5 67.969 (66.031)
Epoch: [63][160/7045]	Time 0.121 (0.263)	Data 0.069 (0.194)	Loss 2.6396 (2.6630)	Prec@1 36.328 (36.386)	Prec@5 65.625 (65.977)
Epoch: [63][170/7045]	Time 0.169 (0.264)	Data 0.117 (0.195)	Loss 2.5826 (2.6632)	Prec@1 42.578 (36.410)	Prec@5 68.750 (65.949)
Epoch: [63][180/7045]	Time 0.101 (0.264)	Data 0.002 (0.195)	Loss 2.6238 (2.6648)	Prec@1 36.328 (36.378)	Prec@5 69.531 (65.916)
Epoch: [63][190/7045]	Time 0.123 (0.262)	Data 0.071 (0.194)	Loss 2.5903 (2.6642)	Prec@1 37.109 (36.344)	Prec@5 67.578 (65.938)
Epoch: [63][200/7045]	Time 0.186 (0.264)	Data 0.134 (0.196)	Loss 2.5878 (2.6630)	Prec@1 39.453 (36.361)	Prec@5 66.797 (65.938)
Epoch: [63][210/7045]	Time 0.102 (0.262)	Data 0.001 (0.193)	Loss 2.5676 (2.6611)	Prec@1 40.625 (36.408)	Prec@5 65.234 (65.945)
Epoch: [63][220/7045]	Time 0.106 (0.262)	Data 0.053 (0.193)	Loss 2.7185 (2.6620)	Prec@1 36.719 (36.397)	Prec@5 66.797 (65.933)
Epoch: [63][230/7045]	Time 0.109 (0.260)	Data 0.055 (0.192)	Loss 2.8538 (2.6611)	Prec@1 32.031 (36.397)	Prec@5 64.453 (65.921)
Epoch: [63][240/7045]	Time 0.310 (0.262)	Data 0.259 (0.193)	Loss 2.5834 (2.6624)	Prec@1 34.375 (36.346)	Prec@5 71.875 (65.920)
Epoch: [63][250/7045]	Time 0.102 (0.260)	Data 0.001 (0.191)	Loss 2.6454 (2.6600)	Prec@1 35.938 (36.418)	Prec@5 67.969 (65.961)
Epoch: [63][260/7045]	Time 0.305 (0.260)	Data 0.253 (0.192)	Loss 2.6440 (2.6584)	Prec@1 39.062 (36.427)	Prec@5 67.969 (66.026)
Epoch: [63][270/7045]	Time 0.102 (0.259)	Data 0.001 (0.191)	Loss 2.7486 (2.6588)	Prec@1 39.062 (36.438)	Prec@5 61.719 (66.039)
Epoch: [63][280/7045]	Time 0.441 (0.259)	Data 0.390 (0.191)	Loss 2.4571 (2.6586)	Prec@1 42.578 (36.434)	Prec@5 69.531 (66.059)
Epoch: [63][290/7045]	Time 0.102 (0.259)	Data 0.001 (0.191)	Loss 2.7958 (2.6605)	Prec@1 32.422 (36.411)	Prec@5 63.672 (66.009)
Epoch: [63][300/7045]	Time 0.246 (0.258)	Data 0.195 (0.189)	Loss 2.6851 (2.6594)	Prec@1 35.547 (36.454)	Prec@5 66.016 (66.022)
Epoch: [63][310/7045]	Time 0.109 (0.258)	Data 0.055 (0.189)	Loss 2.6706 (2.6568)	Prec@1 33.984 (36.475)	Prec@5 66.406 (66.093)
Epoch: [63][320/7045]	Time 0.107 (0.257)	Data 0.055 (0.189)	Loss 2.5466 (2.6574)	Prec@1 41.797 (36.503)	Prec@5 67.969 (66.089)
Epoch: [63][330/7045]	Time 0.107 (0.257)	Data 0.054 (0.189)	Loss 2.7625 (2.6560)	Prec@1 32.031 (36.549)	Prec@5 63.281 (66.111)
Epoch: [63][340/7045]	Time 0.513 (0.258)	Data 0.462 (0.190)	Loss 2.5796 (2.6551)	Prec@1 39.062 (36.581)	Prec@5 64.844 (66.137)
Epoch: [63][350/7045]	Time 0.102 (0.257)	Data 0.008 (0.190)	Loss 2.6635 (2.6549)	Prec@1 36.719 (36.593)	Prec@5 71.094 (66.149)
Epoch: [63][360/7045]	Time 0.436 (0.257)	Data 0.384 (0.190)	Loss 2.6437 (2.6566)	Prec@1 36.328 (36.540)	Prec@5 66.406 (66.123)
Epoch: [63][370/7045]	Time 0.102 (0.257)	Data 0.004 (0.189)	Loss 2.7429 (2.6565)	Prec@1 38.672 (36.550)	Prec@5 63.672 (66.138)
Epoch: [63][380/7045]	Time 0.107 (0.257)	Data 0.054 (0.189)	Loss 2.7685 (2.6578)	Prec@1 34.766 (36.557)	Prec@5 64.844 (66.149)
Epoch: [63][390/7045]	Time 0.272 (0.257)	Data 0.221 (0.190)	Loss 2.5182 (2.6563)	Prec@1 39.062 (36.573)	Prec@5 70.703 (66.164)
Epoch: [63][400/7045]	Time 0.187 (0.257)	Data 0.128 (0.190)	Loss 2.6686 (2.6558)	Prec@1 31.250 (36.560)	Prec@5 70.312 (66.182)
Epoch: [63][410/7045]	Time 0.269 (0.257)	Data 0.217 (0.190)	Loss 2.6065 (2.6560)	Prec@1 36.719 (36.570)	Prec@5 67.578 (66.158)
Epoch: [63][420/7045]	Time 0.107 (0.256)	Data 0.019 (0.190)	Loss 2.7853 (2.6561)	Prec@1 36.328 (36.569)	Prec@5 64.062 (66.159)
Epoch: [63][430/7045]	Time 0.639 (0.257)	Data 0.588 (0.191)	Loss 2.5404 (2.6556)	Prec@1 39.844 (36.570)	Prec@5 66.797 (66.159)
Epoch: [63][440/7045]	Time 0.110 (0.256)	Data 0.058 (0.190)	Loss 2.5345 (2.6563)	Prec@1 35.547 (36.589)	Prec@5 68.359 (66.161)
Epoch: [63][450/7045]	Time 0.387 (0.256)	Data 0.325 (0.190)	Loss 2.6627 (2.6560)	Prec@1 33.594 (36.593)	Prec@5 66.016 (66.181)
Epoch: [63][460/7045]	Time 0.102 (0.256)	Data 0.001 (0.189)	Loss 2.5592 (2.6574)	Prec@1 39.453 (36.570)	Prec@5 66.406 (66.161)
Epoch: [63][470/7045]	Time 0.112 (0.256)	Data 0.061 (0.190)	Loss 2.4934 (2.6567)	Prec@1 41.016 (36.580)	Prec@5 69.141 (66.177)
Epoch: [63][480/7045]	Time 0.118 (0.255)	Data 0.067 (0.189)	Loss 2.7460 (2.6561)	Prec@1 39.844 (36.616)	Prec@5 66.797 (66.201)
Epoch: [63][490/7045]	Time 0.111 (0.256)	Data 0.015 (0.189)	Loss 2.4988 (2.6557)	Prec@1 36.328 (36.622)	Prec@5 66.797 (66.212)
Epoch: [63][500/7045]	Time 0.209 (0.255)	Data 0.158 (0.189)	Loss 2.6261 (2.6553)	Prec@1 39.844 (36.619)	Prec@5 70.703 (66.219)
Epoch: [63][510/7045]	Time 0.192 (0.255)	Data 0.141 (0.189)	Loss 2.4681 (2.6547)	Prec@1 41.016 (36.642)	Prec@5 69.531 (66.241)
Epoch: [63][520/7045]	Time 0.107 (0.255)	Data 0.056 (0.189)	Loss 2.3002 (2.6544)	Prec@1 42.188 (36.629)	Prec@5 72.656 (66.242)
Epoch: [63][530/7045]	Time 0.435 (0.255)	Data 0.383 (0.189)	Loss 2.6583 (2.6555)	Prec@1 35.156 (36.622)	Prec@5 65.625 (66.229)
Epoch: [63][540/7045]	Time 0.229 (0.255)	Data 0.178 (0.189)	Loss 2.7646 (2.6558)	Prec@1 35.547 (36.609)	Prec@5 66.016 (66.216)
Epoch: [63][550/7045]	Time 0.325 (0.255)	Data 0.274 (0.189)	Loss 2.3794 (2.6548)	Prec@1 42.969 (36.603)	Prec@5 72.266 (66.245)
Epoch: [63][560/7045]	Time 0.244 (0.255)	Data 0.193 (0.189)	Loss 2.5538 (2.6551)	Prec@1 42.578 (36.602)	Prec@5 68.750 (66.243)
Epoch: [63][570/7045]	Time 0.157 (0.255)	Data 0.106 (0.189)	Loss 2.7681 (2.6555)	Prec@1 31.641 (36.563)	Prec@5 64.453 (66.239)
Epoch: [63][580/7045]	Time 0.101 (0.254)	Data 0.008 (0.189)	Loss 2.7638 (2.6563)	Prec@1 35.547 (36.552)	Prec@5 64.453 (66.219)
Epoch: [63][590/7045]	Time 0.311 (0.255)	Data 0.261 (0.190)	Loss 2.6748 (2.6552)	Prec@1 37.109 (36.556)	Prec@5 66.016 (66.244)
Epoch: [63][600/7045]	Time 0.129 (0.255)	Data 0.077 (0.189)	Loss 2.5478 (2.6559)	Prec@1 37.891 (36.543)	Prec@5 67.578 (66.244)
Epoch: [63][610/7045]	Time 0.503 (0.255)	Data 0.452 (0.190)	Loss 2.6893 (2.6563)	Prec@1 38.281 (36.551)	Prec@5 65.625 (66.241)
Epoch: [63][620/7045]	Time 0.120 (0.255)	Data 0.069 (0.190)	Loss 2.7063 (2.6560)	Prec@1 39.062 (36.556)	Prec@5 62.891 (66.253)
Epoch: [63][630/7045]	Time 0.418 (0.255)	Data 0.366 (0.190)	Loss 2.6360 (2.6567)	Prec@1 34.766 (36.524)	Prec@5 67.578 (66.245)
Epoch: [63][640/7045]	Time 0.100 (0.255)	Data 0.006 (0.190)	Loss 2.6811 (2.6562)	Prec@1 36.719 (36.540)	Prec@5 65.625 (66.262)
Epoch: [63][650/7045]	Time 0.203 (0.255)	Data 0.151 (0.190)	Loss 2.7010 (2.6563)	Prec@1 39.062 (36.539)	Prec@5 68.750 (66.248)
Epoch: [63][660/7045]	Time 0.101 (0.255)	Data 0.001 (0.189)	Loss 2.7136 (2.6567)	Prec@1 38.281 (36.531)	Prec@5 65.234 (66.234)
Epoch: [63][670/7045]	Time 0.110 (0.255)	Data 0.058 (0.189)	Loss 2.7077 (2.6565)	Prec@1 35.156 (36.542)	Prec@5 65.625 (66.238)
Epoch: [63][680/7045]	Time 0.102 (0.255)	Data 0.003 (0.189)	Loss 2.4795 (2.6554)	Prec@1 35.938 (36.551)	Prec@5 69.922 (66.259)
Epoch: [63][690/7045]	Time 0.139 (0.254)	Data 0.087 (0.189)	Loss 2.7203 (2.6561)	Prec@1 40.234 (36.519)	Prec@5 67.188 (66.247)
Epoch: [63][700/7045]	Time 0.463 (0.255)	Data 0.411 (0.190)	Loss 2.5057 (2.6557)	Prec@1 37.109 (36.520)	Prec@5 69.531 (66.260)
Epoch: [63][710/7045]	Time 0.105 (0.255)	Data 0.053 (0.189)	Loss 2.6740 (2.6561)	Prec@1 36.328 (36.514)	Prec@5 70.312 (66.247)
Epoch: [63][720/7045]	Time 0.102 (0.255)	Data 0.024 (0.189)	Loss 2.7522 (2.6554)	Prec@1 38.281 (36.533)	Prec@5 62.500 (66.257)
Epoch: [63][730/7045]	Time 0.725 (0.255)	Data 0.673 (0.190)	Loss 2.6176 (2.6552)	Prec@1 37.891 (36.547)	Prec@5 66.016 (66.265)
Epoch: [63][740/7045]	Time 0.107 (0.255)	Data 0.001 (0.189)	Loss 2.5758 (2.6555)	Prec@1 37.891 (36.561)	Prec@5 66.406 (66.264)
Epoch: [63][750/7045]	Time 0.748 (0.255)	Data 0.697 (0.190)	Loss 2.5768 (2.6558)	Prec@1 38.672 (36.545)	Prec@5 68.359 (66.254)
Epoch: [63][760/7045]	Time 0.103 (0.255)	Data 0.001 (0.189)	Loss 2.9115 (2.6556)	Prec@1 30.078 (36.531)	Prec@5 62.109 (66.257)
Epoch: [63][770/7045]	Time 0.398 (0.255)	Data 0.346 (0.189)	Loss 2.5850 (2.6565)	Prec@1 37.891 (36.530)	Prec@5 66.797 (66.231)
Epoch: [63][780/7045]	Time 0.167 (0.255)	Data 0.115 (0.189)	Loss 2.8048 (2.6566)	Prec@1 30.469 (36.508)	Prec@5 62.500 (66.230)
Epoch: [63][790/7045]	Time 0.127 (0.255)	Data 0.076 (0.189)	Loss 2.7814 (2.6567)	Prec@1 32.422 (36.491)	Prec@5 62.500 (66.217)
Epoch: [63][800/7045]	Time 0.108 (0.254)	Data 0.057 (0.189)	Loss 2.6636 (2.6570)	Prec@1 39.453 (36.493)	Prec@5 64.453 (66.200)
Epoch: [63][810/7045]	Time 0.253 (0.255)	Data 0.202 (0.189)	Loss 2.7259 (2.6566)	Prec@1 33.984 (36.499)	Prec@5 66.406 (66.201)
Epoch: [63][820/7045]	Time 0.283 (0.254)	Data 0.232 (0.189)	Loss 2.8204 (2.6569)	Prec@1 37.500 (36.498)	Prec@5 63.281 (66.189)
Epoch: [63][830/7045]	Time 0.410 (0.255)	Data 0.359 (0.190)	Loss 2.6941 (2.6569)	Prec@1 37.500 (36.502)	Prec@5 65.625 (66.184)
Epoch: [63][840/7045]	Time 0.101 (0.255)	Data 0.008 (0.190)	Loss 2.7887 (2.6570)	Prec@1 33.984 (36.493)	Prec@5 60.938 (66.176)
Epoch: [63][850/7045]	Time 0.291 (0.254)	Data 0.241 (0.190)	Loss 2.6389 (2.6572)	Prec@1 33.203 (36.487)	Prec@5 67.578 (66.178)
Epoch: [63][860/7045]	Time 0.190 (0.255)	Data 0.139 (0.190)	Loss 2.7771 (2.6572)	Prec@1 33.594 (36.498)	Prec@5 66.016 (66.180)
Epoch: [63][870/7045]	Time 0.101 (0.254)	Data 0.020 (0.190)	Loss 2.5653 (2.6575)	Prec@1 36.328 (36.494)	Prec@5 67.578 (66.169)
Epoch: [63][880/7045]	Time 0.481 (0.255)	Data 0.430 (0.190)	Loss 2.5523 (2.6574)	Prec@1 35.938 (36.498)	Prec@5 67.578 (66.163)
Epoch: [63][890/7045]	Time 0.103 (0.254)	Data 0.052 (0.190)	Loss 2.7206 (2.6571)	Prec@1 34.766 (36.502)	Prec@5 62.109 (66.175)
Epoch: [63][900/7045]	Time 0.564 (0.255)	Data 0.505 (0.190)	Loss 2.7179 (2.6574)	Prec@1 32.031 (36.480)	Prec@5 64.453 (66.176)
Epoch: [63][910/7045]	Time 0.102 (0.254)	Data 0.011 (0.189)	Loss 2.7550 (2.6573)	Prec@1 32.812 (36.484)	Prec@5 67.969 (66.186)
Epoch: [63][920/7045]	Time 0.390 (0.254)	Data 0.337 (0.190)	Loss 2.5821 (2.6570)	Prec@1 35.938 (36.484)	Prec@5 69.922 (66.203)
Epoch: [63][930/7045]	Time 0.111 (0.254)	Data 0.058 (0.189)	Loss 2.7792 (2.6570)	Prec@1 33.984 (36.498)	Prec@5 61.328 (66.202)
Epoch: [63][940/7045]	Time 0.459 (0.254)	Data 0.407 (0.190)	Loss 2.6951 (2.6574)	Prec@1 34.375 (36.494)	Prec@5 67.578 (66.191)
Epoch: [63][950/7045]	Time 0.101 (0.254)	Data 0.016 (0.189)	Loss 2.6651 (2.6579)	Prec@1 32.422 (36.483)	Prec@5 65.625 (66.180)
Epoch: [63][960/7045]	Time 0.550 (0.254)	Data 0.491 (0.190)	Loss 2.4343 (2.6577)	Prec@1 42.969 (36.489)	Prec@5 70.312 (66.175)
Epoch: [63][970/7045]	Time 0.103 (0.254)	Data 0.013 (0.189)	Loss 2.7580 (2.6579)	Prec@1 33.984 (36.488)	Prec@5 65.234 (66.173)
Epoch: [63][980/7045]	Time 0.721 (0.254)	Data 0.669 (0.190)	Loss 2.7296 (2.6568)	Prec@1 38.281 (36.518)	Prec@5 65.234 (66.194)
Epoch: [63][990/7045]	Time 0.187 (0.254)	Data 0.136 (0.189)	Loss 2.6578 (2.6568)	Prec@1 32.812 (36.514)	Prec@5 67.969 (66.195)
Epoch: [63][1000/7045]	Time 0.533 (0.254)	Data 0.474 (0.189)	Loss 2.6341 (2.6571)	Prec@1 36.328 (36.496)	Prec@5 66.016 (66.187)
Epoch: [63][1010/7045]	Time 0.102 (0.254)	Data 0.001 (0.189)	Loss 2.6482 (2.6576)	Prec@1 37.500 (36.486)	Prec@5 68.750 (66.186)
Epoch: [63][1020/7045]	Time 0.222 (0.254)	Data 0.172 (0.189)	Loss 2.4487 (2.6576)	Prec@1 40.625 (36.478)	Prec@5 66.797 (66.183)
Epoch: [63][1030/7045]	Time 0.102 (0.253)	Data 0.050 (0.189)	Loss 2.7319 (2.6579)	Prec@1 37.500 (36.468)	Prec@5 65.625 (66.169)
Epoch: [63][1040/7045]	Time 0.366 (0.254)	Data 0.314 (0.189)	Loss 2.5356 (2.6572)	Prec@1 37.500 (36.496)	Prec@5 66.406 (66.189)
Epoch: [63][1050/7045]	Time 0.252 (0.253)	Data 0.202 (0.189)	Loss 2.3659 (2.6573)	Prec@1 39.844 (36.494)	Prec@5 72.656 (66.198)
Epoch: [63][1060/7045]	Time 0.521 (0.254)	Data 0.470 (0.189)	Loss 2.5950 (2.6564)	Prec@1 35.938 (36.505)	Prec@5 65.234 (66.211)
Epoch: [63][1070/7045]	Time 0.114 (0.253)	Data 0.062 (0.189)	Loss 2.6391 (2.6563)	Prec@1 33.203 (36.504)	Prec@5 64.062 (66.205)
Epoch: [63][1080/7045]	Time 0.576 (0.254)	Data 0.524 (0.189)	Loss 2.5214 (2.6562)	Prec@1 37.500 (36.511)	Prec@5 69.922 (66.201)
Epoch: [63][1090/7045]	Time 0.184 (0.253)	Data 0.133 (0.189)	Loss 2.6049 (2.6570)	Prec@1 37.500 (36.498)	Prec@5 66.406 (66.185)
Epoch: [63][1100/7045]	Time 0.593 (0.253)	Data 0.543 (0.189)	Loss 2.6906 (2.6575)	Prec@1 32.812 (36.486)	Prec@5 64.062 (66.179)
Epoch: [63][1110/7045]	Time 0.101 (0.253)	Data 0.016 (0.189)	Loss 2.7449 (2.6578)	Prec@1 34.766 (36.478)	Prec@5 65.234 (66.171)
Epoch: [63][1120/7045]	Time 0.344 (0.253)	Data 0.291 (0.189)	Loss 2.6740 (2.6582)	Prec@1 33.984 (36.472)	Prec@5 64.062 (66.156)
Epoch: [63][1130/7045]	Time 0.102 (0.253)	Data 0.050 (0.189)	Loss 2.7797 (2.6585)	Prec@1 33.984 (36.467)	Prec@5 62.891 (66.140)
Epoch: [63][1140/7045]	Time 0.145 (0.253)	Data 0.094 (0.189)	Loss 2.6212 (2.6586)	Prec@1 33.203 (36.462)	Prec@5 68.359 (66.139)
Epoch: [63][1150/7045]	Time 0.152 (0.253)	Data 0.100 (0.189)	Loss 2.7781 (2.6591)	Prec@1 35.547 (36.452)	Prec@5 64.062 (66.134)
Epoch: [63][1160/7045]	Time 0.280 (0.253)	Data 0.228 (0.189)	Loss 2.7926 (2.6593)	Prec@1 36.719 (36.441)	Prec@5 64.453 (66.130)
Epoch: [63][1170/7045]	Time 0.373 (0.253)	Data 0.323 (0.189)	Loss 2.7409 (2.6592)	Prec@1 35.156 (36.438)	Prec@5 64.062 (66.140)
Epoch: [63][1180/7045]	Time 0.375 (0.253)	Data 0.324 (0.189)	Loss 2.6472 (2.6587)	Prec@1 38.281 (36.441)	Prec@5 65.234 (66.141)
Epoch: [63][1190/7045]	Time 0.321 (0.253)	Data 0.270 (0.189)	Loss 2.6143 (2.6590)	Prec@1 36.328 (36.436)	Prec@5 66.797 (66.130)
Epoch: [63][1200/7045]	Time 0.149 (0.253)	Data 0.097 (0.189)	Loss 2.5361 (2.6596)	Prec@1 37.891 (36.423)	Prec@5 69.531 (66.119)
Epoch: [63][1210/7045]	Time 0.454 (0.253)	Data 0.402 (0.189)	Loss 2.6616 (2.6591)	Prec@1 31.641 (36.419)	Prec@5 68.359 (66.124)
Epoch: [63][1220/7045]	Time 0.168 (0.253)	Data 0.118 (0.189)	Loss 2.8542 (2.6591)	Prec@1 34.375 (36.425)	Prec@5 63.672 (66.123)
Epoch: [63][1230/7045]	Time 0.641 (0.253)	Data 0.589 (0.189)	Loss 2.6175 (2.6593)	Prec@1 38.281 (36.419)	Prec@5 63.281 (66.118)
Epoch: [63][1240/7045]	Time 0.102 (0.253)	Data 0.025 (0.189)	Loss 2.5116 (2.6590)	Prec@1 42.188 (36.423)	Prec@5 67.969 (66.124)
Epoch: [63][1250/7045]	Time 0.552 (0.253)	Data 0.496 (0.189)	Loss 2.5815 (2.6592)	Prec@1 36.719 (36.421)	Prec@5 64.844 (66.116)
Epoch: [63][1260/7045]	Time 0.101 (0.253)	Data 0.001 (0.189)	Loss 2.6900 (2.6590)	Prec@1 34.375 (36.431)	Prec@5 64.062 (66.124)
Epoch: [63][1270/7045]	Time 0.138 (0.253)	Data 0.086 (0.189)	Loss 2.8062 (2.6590)	Prec@1 35.938 (36.433)	Prec@5 63.281 (66.124)
Epoch: [63][1280/7045]	Time 0.521 (0.253)	Data 0.470 (0.189)	Loss 2.9060 (2.6588)	Prec@1 31.250 (36.433)	Prec@5 59.375 (66.129)
Epoch: [63][1290/7045]	Time 0.194 (0.253)	Data 0.138 (0.189)	Loss 2.7457 (2.6586)	Prec@1 36.719 (36.436)	Prec@5 64.062 (66.137)
Epoch: [63][1300/7045]	Time 0.495 (0.253)	Data 0.444 (0.189)	Loss 2.6703 (2.6584)	Prec@1 38.672 (36.437)	Prec@5 67.578 (66.143)
Epoch: [63][1310/7045]	Time 0.109 (0.253)	Data 0.057 (0.189)	Loss 2.6284 (2.6579)	Prec@1 35.156 (36.454)	Prec@5 65.625 (66.144)
Epoch: [63][1320/7045]	Time 0.293 (0.253)	Data 0.242 (0.189)	Loss 2.5761 (2.6580)	Prec@1 37.109 (36.453)	Prec@5 67.578 (66.142)
Epoch: [63][1330/7045]	Time 0.116 (0.253)	Data 0.064 (0.189)	Loss 2.6263 (2.6589)	Prec@1 34.375 (36.431)	Prec@5 66.797 (66.129)
Epoch: [63][1340/7045]	Time 0.305 (0.253)	Data 0.252 (0.189)	Loss 2.8144 (2.6585)	Prec@1 37.500 (36.441)	Prec@5 59.766 (66.135)
Epoch: [63][1350/7045]	Time 0.282 (0.253)	Data 0.231 (0.189)	Loss 2.9751 (2.6584)	Prec@1 28.125 (36.439)	Prec@5 60.938 (66.138)
Epoch: [63][1360/7045]	Time 0.341 (0.253)	Data 0.281 (0.189)	Loss 2.8102 (2.6586)	Prec@1 32.422 (36.439)	Prec@5 61.719 (66.138)
Epoch: [63][1370/7045]	Time 0.389 (0.253)	Data 0.338 (0.189)	Loss 2.6752 (2.6587)	Prec@1 36.719 (36.431)	Prec@5 64.453 (66.138)
Epoch: [63][1380/7045]	Time 0.348 (0.253)	Data 0.296 (0.189)	Loss 2.4552 (2.6580)	Prec@1 39.062 (36.442)	Prec@5 68.359 (66.149)
Epoch: [63][1390/7045]	Time 0.313 (0.253)	Data 0.262 (0.189)	Loss 2.7742 (2.6581)	Prec@1 33.594 (36.443)	Prec@5 66.406 (66.153)
Epoch: [63][1400/7045]	Time 0.233 (0.253)	Data 0.181 (0.189)	Loss 2.6897 (2.6583)	Prec@1 39.844 (36.434)	Prec@5 68.750 (66.149)
Epoch: [63][1410/7045]	Time 0.233 (0.253)	Data 0.182 (0.189)	Loss 2.8135 (2.6587)	Prec@1 32.031 (36.421)	Prec@5 62.109 (66.141)
Epoch: [63][1420/7045]	Time 0.357 (0.253)	Data 0.298 (0.189)	Loss 2.7642 (2.6588)	Prec@1 32.031 (36.422)	Prec@5 64.062 (66.144)
Epoch: [63][1430/7045]	Time 0.203 (0.253)	Data 0.151 (0.189)	Loss 2.4958 (2.6584)	Prec@1 38.672 (36.432)	Prec@5 68.359 (66.152)
Epoch: [63][1440/7045]	Time 0.367 (0.253)	Data 0.308 (0.189)	Loss 2.6954 (2.6583)	Prec@1 34.766 (36.438)	Prec@5 67.969 (66.154)
Epoch: [63][1450/7045]	Time 0.495 (0.253)	Data 0.444 (0.189)	Loss 2.7462 (2.6584)	Prec@1 32.422 (36.434)	Prec@5 62.891 (66.148)
Epoch: [63][1460/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 2.4089 (2.6584)	Prec@1 38.672 (36.430)	Prec@5 71.484 (66.143)
Epoch: [63][1470/7045]	Time 0.516 (0.253)	Data 0.464 (0.189)	Loss 2.5640 (2.6582)	Prec@1 35.156 (36.429)	Prec@5 66.406 (66.145)
Epoch: [63][1480/7045]	Time 0.350 (0.253)	Data 0.298 (0.189)	Loss 2.7132 (2.6579)	Prec@1 35.938 (36.427)	Prec@5 66.406 (66.153)
Epoch: [63][1490/7045]	Time 0.165 (0.253)	Data 0.113 (0.189)	Loss 2.6565 (2.6581)	Prec@1 33.594 (36.419)	Prec@5 66.797 (66.152)
Epoch: [63][1500/7045]	Time 0.396 (0.253)	Data 0.344 (0.189)	Loss 2.6545 (2.6582)	Prec@1 34.766 (36.423)	Prec@5 67.578 (66.154)
Epoch: [63][1510/7045]	Time 0.176 (0.253)	Data 0.124 (0.189)	Loss 2.6063 (2.6584)	Prec@1 37.500 (36.425)	Prec@5 66.406 (66.149)
Epoch: [63][1520/7045]	Time 0.538 (0.253)	Data 0.485 (0.189)	Loss 2.8032 (2.6582)	Prec@1 32.422 (36.433)	Prec@5 62.891 (66.155)
Epoch: [63][1530/7045]	Time 0.279 (0.253)	Data 0.228 (0.189)	Loss 2.7686 (2.6583)	Prec@1 35.156 (36.432)	Prec@5 63.672 (66.159)
Epoch: [63][1540/7045]	Time 0.235 (0.253)	Data 0.178 (0.189)	Loss 2.5685 (2.6583)	Prec@1 39.062 (36.435)	Prec@5 65.234 (66.157)
Epoch: [63][1550/7045]	Time 0.108 (0.252)	Data 0.057 (0.189)	Loss 2.5607 (2.6584)	Prec@1 38.672 (36.434)	Prec@5 69.141 (66.157)
Epoch: [63][1560/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 2.5772 (2.6583)	Prec@1 32.422 (36.436)	Prec@5 67.969 (66.166)
Epoch: [63][1570/7045]	Time 0.102 (0.252)	Data 0.001 (0.189)	Loss 2.8083 (2.6581)	Prec@1 36.328 (36.441)	Prec@5 64.844 (66.161)
Epoch: [63][1580/7045]	Time 0.132 (0.252)	Data 0.082 (0.189)	Loss 2.6228 (2.6580)	Prec@1 37.891 (36.445)	Prec@5 68.359 (66.165)
Epoch: [63][1590/7045]	Time 0.187 (0.252)	Data 0.136 (0.189)	Loss 2.6533 (2.6579)	Prec@1 36.719 (36.444)	Prec@5 67.969 (66.159)
Epoch: [63][1600/7045]	Time 0.111 (0.252)	Data 0.001 (0.189)	Loss 2.6941 (2.6581)	Prec@1 35.156 (36.441)	Prec@5 64.844 (66.160)
Epoch: [63][1610/7045]	Time 0.473 (0.252)	Data 0.421 (0.189)	Loss 2.5150 (2.6580)	Prec@1 39.844 (36.450)	Prec@5 70.703 (66.163)
Epoch: [63][1620/7045]	Time 0.110 (0.252)	Data 0.029 (0.189)	Loss 2.7411 (2.6579)	Prec@1 33.984 (36.452)	Prec@5 67.578 (66.164)
Epoch: [63][1630/7045]	Time 0.629 (0.252)	Data 0.570 (0.189)	Loss 2.6227 (2.6574)	Prec@1 39.844 (36.455)	Prec@5 65.625 (66.174)
Epoch: [63][1640/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 2.6612 (2.6571)	Prec@1 43.750 (36.467)	Prec@5 66.016 (66.177)
Epoch: [63][1650/7045]	Time 0.616 (0.252)	Data 0.564 (0.188)	Loss 2.7301 (2.6572)	Prec@1 32.031 (36.467)	Prec@5 64.062 (66.176)
Epoch: [63][1660/7045]	Time 0.108 (0.252)	Data 0.055 (0.188)	Loss 2.6988 (2.6575)	Prec@1 37.891 (36.459)	Prec@5 66.406 (66.162)
Epoch: [63][1670/7045]	Time 0.398 (0.252)	Data 0.346 (0.188)	Loss 2.6346 (2.6578)	Prec@1 36.719 (36.449)	Prec@5 69.531 (66.157)
Epoch: [63][1680/7045]	Time 0.101 (0.252)	Data 0.001 (0.188)	Loss 2.8249 (2.6576)	Prec@1 33.203 (36.450)	Prec@5 60.156 (66.163)
Epoch: [63][1690/7045]	Time 0.100 (0.252)	Data 0.045 (0.188)	Loss 2.6464 (2.6578)	Prec@1 34.375 (36.449)	Prec@5 68.359 (66.166)
Epoch: [63][1700/7045]	Time 0.101 (0.252)	Data 0.046 (0.188)	Loss 2.7414 (2.6577)	Prec@1 33.984 (36.451)	Prec@5 65.625 (66.172)
Epoch: [63][1710/7045]	Time 0.303 (0.252)	Data 0.251 (0.188)	Loss 2.5133 (2.6580)	Prec@1 42.578 (36.448)	Prec@5 69.141 (66.170)
Epoch: [63][1720/7045]	Time 0.101 (0.252)	Data 0.003 (0.188)	Loss 2.4982 (2.6582)	Prec@1 38.672 (36.444)	Prec@5 67.578 (66.163)
Epoch: [63][1730/7045]	Time 0.158 (0.252)	Data 0.104 (0.188)	Loss 2.4845 (2.6579)	Prec@1 44.531 (36.449)	Prec@5 66.797 (66.170)
Epoch: [63][1740/7045]	Time 0.146 (0.252)	Data 0.094 (0.188)	Loss 2.7928 (2.6580)	Prec@1 33.984 (36.448)	Prec@5 66.406 (66.169)
Epoch: [63][1750/7045]	Time 0.160 (0.252)	Data 0.108 (0.188)	Loss 2.5472 (2.6582)	Prec@1 35.547 (36.443)	Prec@5 68.750 (66.166)
Epoch: [63][1760/7045]	Time 0.126 (0.252)	Data 0.074 (0.188)	Loss 2.8755 (2.6583)	Prec@1 35.938 (36.443)	Prec@5 62.109 (66.164)
Epoch: [63][1770/7045]	Time 0.118 (0.252)	Data 0.051 (0.188)	Loss 2.8479 (2.6582)	Prec@1 33.203 (36.445)	Prec@5 62.891 (66.166)
Epoch: [63][1780/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 2.5600 (2.6586)	Prec@1 41.406 (36.437)	Prec@5 68.750 (66.163)
Epoch: [63][1790/7045]	Time 0.184 (0.252)	Data 0.133 (0.188)	Loss 2.5834 (2.6580)	Prec@1 37.891 (36.447)	Prec@5 66.016 (66.175)
Epoch: [63][1800/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 2.8074 (2.6584)	Prec@1 37.500 (36.449)	Prec@5 62.109 (66.168)
Epoch: [63][1810/7045]	Time 0.112 (0.252)	Data 0.003 (0.188)	Loss 2.5996 (2.6584)	Prec@1 37.500 (36.452)	Prec@5 70.703 (66.175)
Epoch: [63][1820/7045]	Time 0.103 (0.251)	Data 0.001 (0.187)	Loss 2.5956 (2.6583)	Prec@1 36.328 (36.450)	Prec@5 64.844 (66.175)
Epoch: [63][1830/7045]	Time 0.128 (0.252)	Data 0.075 (0.187)	Loss 2.5450 (2.6583)	Prec@1 40.625 (36.460)	Prec@5 67.969 (66.171)
Epoch: [63][1840/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 2.5844 (2.6584)	Prec@1 35.938 (36.453)	Prec@5 67.578 (66.169)
Epoch: [63][1850/7045]	Time 0.108 (0.252)	Data 0.002 (0.187)	Loss 2.7446 (2.6585)	Prec@1 34.375 (36.453)	Prec@5 59.375 (66.164)
Epoch: [63][1860/7045]	Time 0.122 (0.251)	Data 0.071 (0.187)	Loss 2.6900 (2.6587)	Prec@1 36.328 (36.446)	Prec@5 66.797 (66.157)
Epoch: [63][1870/7045]	Time 0.102 (0.251)	Data 0.023 (0.187)	Loss 2.6178 (2.6588)	Prec@1 36.719 (36.449)	Prec@5 64.453 (66.158)
Epoch: [63][1880/7045]	Time 0.101 (0.251)	Data 0.044 (0.187)	Loss 2.6325 (2.6587)	Prec@1 35.938 (36.448)	Prec@5 67.578 (66.160)
Epoch: [63][1890/7045]	Time 0.115 (0.251)	Data 0.064 (0.187)	Loss 2.5465 (2.6586)	Prec@1 40.625 (36.447)	Prec@5 69.531 (66.161)
Epoch: [63][1900/7045]	Time 0.115 (0.251)	Data 0.061 (0.187)	Loss 2.6707 (2.6584)	Prec@1 37.500 (36.451)	Prec@5 66.406 (66.164)
Epoch: [63][1910/7045]	Time 0.102 (0.251)	Data 0.006 (0.187)	Loss 2.6958 (2.6584)	Prec@1 37.109 (36.450)	Prec@5 66.016 (66.165)
Epoch: [63][1920/7045]	Time 0.124 (0.251)	Data 0.073 (0.187)	Loss 2.6051 (2.6583)	Prec@1 41.797 (36.455)	Prec@5 65.625 (66.163)
Epoch: [63][1930/7045]	Time 0.583 (0.251)	Data 0.525 (0.187)	Loss 2.8094 (2.6586)	Prec@1 34.375 (36.456)	Prec@5 58.594 (66.151)
Epoch: [63][1940/7045]	Time 0.148 (0.251)	Data 0.089 (0.187)	Loss 2.5987 (2.6585)	Prec@1 38.281 (36.459)	Prec@5 68.359 (66.153)
Epoch: [63][1950/7045]	Time 0.688 (0.251)	Data 0.636 (0.187)	Loss 2.5909 (2.6585)	Prec@1 37.500 (36.459)	Prec@5 66.797 (66.152)
Epoch: [63][1960/7045]	Time 0.111 (0.251)	Data 0.004 (0.187)	Loss 2.8999 (2.6587)	Prec@1 30.859 (36.455)	Prec@5 58.984 (66.149)
Epoch: [63][1970/7045]	Time 0.588 (0.251)	Data 0.538 (0.187)	Loss 2.6807 (2.6585)	Prec@1 35.938 (36.462)	Prec@5 63.281 (66.152)
Epoch: [63][1980/7045]	Time 0.107 (0.251)	Data 0.001 (0.187)	Loss 2.7960 (2.6584)	Prec@1 33.203 (36.459)	Prec@5 60.938 (66.155)
Epoch: [63][1990/7045]	Time 0.604 (0.251)	Data 0.552 (0.187)	Loss 2.6112 (2.6581)	Prec@1 37.109 (36.461)	Prec@5 65.625 (66.154)
Epoch: [63][2000/7045]	Time 0.109 (0.251)	Data 0.001 (0.186)	Loss 2.6575 (2.6580)	Prec@1 37.109 (36.463)	Prec@5 66.406 (66.156)
Epoch: [63][2010/7045]	Time 0.565 (0.251)	Data 0.513 (0.186)	Loss 2.7271 (2.6581)	Prec@1 35.547 (36.462)	Prec@5 63.672 (66.154)
Epoch: [63][2020/7045]	Time 0.171 (0.251)	Data 0.120 (0.186)	Loss 2.7617 (2.6580)	Prec@1 34.375 (36.458)	Prec@5 62.891 (66.157)
Epoch: [63][2030/7045]	Time 0.468 (0.251)	Data 0.417 (0.186)	Loss 2.5084 (2.6581)	Prec@1 40.234 (36.455)	Prec@5 69.922 (66.159)
Epoch: [63][2040/7045]	Time 0.265 (0.251)	Data 0.214 (0.186)	Loss 2.7609 (2.6582)	Prec@1 30.469 (36.453)	Prec@5 62.500 (66.156)
Epoch: [63][2050/7045]	Time 0.130 (0.251)	Data 0.078 (0.186)	Loss 2.6293 (2.6581)	Prec@1 36.719 (36.453)	Prec@5 65.625 (66.155)
Epoch: [63][2060/7045]	Time 0.471 (0.251)	Data 0.419 (0.186)	Loss 2.5610 (2.6578)	Prec@1 39.453 (36.458)	Prec@5 67.188 (66.162)
Epoch: [63][2070/7045]	Time 0.102 (0.251)	Data 0.050 (0.186)	Loss 2.9953 (2.6588)	Prec@1 28.516 (36.441)	Prec@5 60.156 (66.141)
Epoch: [63][2080/7045]	Time 0.623 (0.251)	Data 0.572 (0.187)	Loss 2.3757 (2.6584)	Prec@1 41.016 (36.451)	Prec@5 71.094 (66.148)
Epoch: [63][2090/7045]	Time 0.217 (0.251)	Data 0.158 (0.186)	Loss 2.6656 (2.6586)	Prec@1 35.156 (36.447)	Prec@5 67.188 (66.145)
Epoch: [63][2100/7045]	Time 0.456 (0.251)	Data 0.405 (0.186)	Loss 2.5459 (2.6581)	Prec@1 35.156 (36.450)	Prec@5 69.922 (66.159)
Epoch: [63][2110/7045]	Time 0.113 (0.251)	Data 0.062 (0.186)	Loss 2.6712 (2.6582)	Prec@1 34.375 (36.445)	Prec@5 67.188 (66.155)
Epoch: [63][2120/7045]	Time 0.289 (0.251)	Data 0.238 (0.186)	Loss 2.6990 (2.6582)	Prec@1 32.422 (36.446)	Prec@5 66.016 (66.155)
Epoch: [63][2130/7045]	Time 0.182 (0.251)	Data 0.130 (0.186)	Loss 2.6577 (2.6580)	Prec@1 36.719 (36.451)	Prec@5 65.234 (66.161)
Epoch: [63][2140/7045]	Time 0.259 (0.251)	Data 0.207 (0.186)	Loss 2.7402 (2.6579)	Prec@1 33.984 (36.447)	Prec@5 65.234 (66.164)
Epoch: [63][2150/7045]	Time 0.292 (0.251)	Data 0.240 (0.186)	Loss 2.6305 (2.6578)	Prec@1 38.672 (36.449)	Prec@5 68.359 (66.168)
Epoch: [63][2160/7045]	Time 0.496 (0.251)	Data 0.443 (0.187)	Loss 2.7661 (2.6577)	Prec@1 39.062 (36.449)	Prec@5 61.328 (66.166)
Epoch: [63][2170/7045]	Time 0.227 (0.251)	Data 0.175 (0.186)	Loss 2.4290 (2.6576)	Prec@1 41.016 (36.452)	Prec@5 72.266 (66.170)
Epoch: [63][2180/7045]	Time 0.352 (0.251)	Data 0.291 (0.186)	Loss 2.6885 (2.6579)	Prec@1 38.281 (36.444)	Prec@5 64.453 (66.162)
Epoch: [63][2190/7045]	Time 0.541 (0.251)	Data 0.489 (0.187)	Loss 2.7835 (2.6582)	Prec@1 36.719 (36.443)	Prec@5 62.500 (66.156)
Epoch: [63][2200/7045]	Time 0.111 (0.251)	Data 0.058 (0.186)	Loss 2.7695 (2.6585)	Prec@1 34.766 (36.442)	Prec@5 66.406 (66.150)
Epoch: [63][2210/7045]	Time 0.597 (0.251)	Data 0.538 (0.187)	Loss 2.7007 (2.6585)	Prec@1 35.938 (36.439)	Prec@5 63.672 (66.145)
Epoch: [63][2220/7045]	Time 0.239 (0.251)	Data 0.185 (0.186)	Loss 2.6605 (2.6586)	Prec@1 37.891 (36.435)	Prec@5 62.891 (66.142)
Epoch: [63][2230/7045]	Time 0.268 (0.251)	Data 0.214 (0.187)	Loss 2.8804 (2.6588)	Prec@1 30.078 (36.430)	Prec@5 63.281 (66.137)
Epoch: [63][2240/7045]	Time 0.682 (0.251)	Data 0.631 (0.187)	Loss 2.5842 (2.6588)	Prec@1 36.719 (36.426)	Prec@5 66.016 (66.135)
Epoch: [63][2250/7045]	Time 0.157 (0.251)	Data 0.106 (0.186)	Loss 2.4628 (2.6588)	Prec@1 34.766 (36.420)	Prec@5 67.969 (66.135)
Epoch: [63][2260/7045]	Time 0.705 (0.251)	Data 0.648 (0.187)	Loss 2.8102 (2.6589)	Prec@1 34.766 (36.422)	Prec@5 63.281 (66.131)
Epoch: [63][2270/7045]	Time 0.102 (0.251)	Data 0.001 (0.186)	Loss 2.4685 (2.6591)	Prec@1 39.453 (36.417)	Prec@5 72.656 (66.130)
Epoch: [63][2280/7045]	Time 0.601 (0.251)	Data 0.550 (0.186)	Loss 2.8435 (2.6592)	Prec@1 33.203 (36.417)	Prec@5 62.109 (66.130)
Epoch: [63][2290/7045]	Time 0.109 (0.251)	Data 0.008 (0.186)	Loss 2.6807 (2.6595)	Prec@1 33.984 (36.410)	Prec@5 62.500 (66.123)
Epoch: [63][2300/7045]	Time 0.427 (0.251)	Data 0.375 (0.186)	Loss 2.6137 (2.6595)	Prec@1 34.766 (36.406)	Prec@5 66.016 (66.120)
Epoch: [63][2310/7045]	Time 0.103 (0.251)	Data 0.001 (0.186)	Loss 2.7678 (2.6598)	Prec@1 34.375 (36.401)	Prec@5 62.891 (66.115)
Epoch: [63][2320/7045]	Time 0.311 (0.251)	Data 0.260 (0.186)	Loss 2.6461 (2.6595)	Prec@1 38.672 (36.408)	Prec@5 63.672 (66.117)
Epoch: [63][2330/7045]	Time 0.189 (0.251)	Data 0.138 (0.186)	Loss 2.4776 (2.6594)	Prec@1 37.891 (36.409)	Prec@5 67.578 (66.120)
Epoch: [63][2340/7045]	Time 0.148 (0.251)	Data 0.096 (0.186)	Loss 2.7716 (2.6594)	Prec@1 33.984 (36.406)	Prec@5 66.797 (66.123)
Epoch: [63][2350/7045]	Time 0.291 (0.251)	Data 0.240 (0.186)	Loss 2.9210 (2.6598)	Prec@1 30.859 (36.397)	Prec@5 61.719 (66.117)
Epoch: [63][2360/7045]	Time 0.102 (0.251)	Data 0.001 (0.186)	Loss 2.6648 (2.6599)	Prec@1 34.375 (36.395)	Prec@5 66.406 (66.115)
Epoch: [63][2370/7045]	Time 0.564 (0.251)	Data 0.505 (0.186)	Loss 2.6832 (2.6599)	Prec@1 39.844 (36.397)	Prec@5 66.016 (66.115)
Epoch: [63][2380/7045]	Time 0.103 (0.251)	Data 0.017 (0.186)	Loss 2.7942 (2.6602)	Prec@1 33.984 (36.393)	Prec@5 62.500 (66.108)
Epoch: [63][2390/7045]	Time 0.512 (0.251)	Data 0.461 (0.186)	Loss 2.8829 (2.6605)	Prec@1 33.984 (36.389)	Prec@5 62.891 (66.104)
Epoch: [63][2400/7045]	Time 0.110 (0.251)	Data 0.057 (0.186)	Loss 2.6582 (2.6602)	Prec@1 39.453 (36.395)	Prec@5 65.625 (66.113)
Epoch: [63][2410/7045]	Time 0.894 (0.251)	Data 0.843 (0.186)	Loss 2.6922 (2.6602)	Prec@1 35.547 (36.397)	Prec@5 67.969 (66.117)
Epoch: [63][2420/7045]	Time 0.109 (0.251)	Data 0.001 (0.186)	Loss 2.7138 (2.6601)	Prec@1 32.422 (36.398)	Prec@5 66.406 (66.120)
Epoch: [63][2430/7045]	Time 0.439 (0.251)	Data 0.388 (0.186)	Loss 2.4865 (2.6597)	Prec@1 39.844 (36.403)	Prec@5 73.047 (66.126)
Epoch: [63][2440/7045]	Time 0.107 (0.251)	Data 0.004 (0.186)	Loss 2.6396 (2.6598)	Prec@1 36.328 (36.405)	Prec@5 63.281 (66.123)
Epoch: [63][2450/7045]	Time 0.241 (0.251)	Data 0.190 (0.186)	Loss 2.7728 (2.6596)	Prec@1 33.203 (36.413)	Prec@5 64.453 (66.124)
Epoch: [63][2460/7045]	Time 0.101 (0.251)	Data 0.001 (0.186)	Loss 2.6389 (2.6595)	Prec@1 39.062 (36.412)	Prec@5 66.406 (66.128)
Epoch: [63][2470/7045]	Time 0.102 (0.251)	Data 0.001 (0.186)	Loss 2.4594 (2.6595)	Prec@1 42.969 (36.408)	Prec@5 68.359 (66.127)
Epoch: [63][2480/7045]	Time 0.144 (0.251)	Data 0.092 (0.186)	Loss 2.6075 (2.6596)	Prec@1 33.984 (36.407)	Prec@5 65.625 (66.128)
Epoch: [63][2490/7045]	Time 0.157 (0.251)	Data 0.107 (0.186)	Loss 2.8073 (2.6597)	Prec@1 32.812 (36.404)	Prec@5 62.891 (66.127)
Epoch: [63][2500/7045]	Time 0.109 (0.251)	Data 0.001 (0.186)	Loss 2.8434 (2.6598)	Prec@1 29.297 (36.403)	Prec@5 63.672 (66.122)
Epoch: [63][2510/7045]	Time 0.100 (0.251)	Data 0.001 (0.186)	Loss 2.6992 (2.6598)	Prec@1 38.281 (36.402)	Prec@5 66.406 (66.123)
Epoch: [63][2520/7045]	Time 0.129 (0.251)	Data 0.077 (0.186)	Loss 2.7998 (2.6598)	Prec@1 37.109 (36.405)	Prec@5 62.500 (66.124)
Epoch: [63][2530/7045]	Time 0.103 (0.251)	Data 0.001 (0.186)	Loss 2.5877 (2.6597)	Prec@1 35.156 (36.403)	Prec@5 66.406 (66.126)
Epoch: [63][2540/7045]	Time 0.101 (0.251)	Data 0.004 (0.186)	Loss 2.6357 (2.6597)	Prec@1 37.500 (36.402)	Prec@5 67.188 (66.126)
Epoch: [63][2550/7045]	Time 0.103 (0.251)	Data 0.001 (0.186)	Loss 2.5604 (2.6595)	Prec@1 39.453 (36.401)	Prec@5 67.578 (66.131)
Epoch: [63][2560/7045]	Time 0.106 (0.251)	Data 0.054 (0.186)	Loss 2.5584 (2.6593)	Prec@1 37.109 (36.401)	Prec@5 69.922 (66.137)
Epoch: [63][2570/7045]	Time 0.177 (0.251)	Data 0.122 (0.186)	Loss 2.6242 (2.6592)	Prec@1 34.766 (36.404)	Prec@5 66.016 (66.141)
Epoch: [63][2580/7045]	Time 0.109 (0.251)	Data 0.001 (0.186)	Loss 2.4662 (2.6591)	Prec@1 41.406 (36.405)	Prec@5 64.844 (66.143)
Epoch: [63][2590/7045]	Time 0.104 (0.251)	Data 0.051 (0.186)	Loss 2.7544 (2.6593)	Prec@1 32.422 (36.401)	Prec@5 66.797 (66.137)
Epoch: [63][2600/7045]	Time 0.112 (0.251)	Data 0.009 (0.186)	Loss 2.6616 (2.6591)	Prec@1 37.109 (36.408)	Prec@5 69.141 (66.141)
Epoch: [63][2610/7045]	Time 0.419 (0.251)	Data 0.365 (0.186)	Loss 2.7243 (2.6593)	Prec@1 35.547 (36.408)	Prec@5 62.500 (66.131)
Epoch: [63][2620/7045]	Time 0.109 (0.251)	Data 0.001 (0.186)	Loss 2.5487 (2.6593)	Prec@1 36.328 (36.410)	Prec@5 68.359 (66.130)
Epoch: [63][2630/7045]	Time 0.562 (0.251)	Data 0.511 (0.186)	Loss 2.4125 (2.6593)	Prec@1 42.969 (36.406)	Prec@5 73.047 (66.129)
Epoch: [63][2640/7045]	Time 0.108 (0.251)	Data 0.057 (0.186)	Loss 2.5323 (2.6592)	Prec@1 38.281 (36.409)	Prec@5 66.797 (66.126)
Epoch: [63][2650/7045]	Time 0.427 (0.251)	Data 0.377 (0.186)	Loss 2.5367 (2.6590)	Prec@1 37.109 (36.411)	Prec@5 66.016 (66.132)
Epoch: [63][2660/7045]	Time 0.105 (0.251)	Data 0.052 (0.186)	Loss 2.8908 (2.6591)	Prec@1 34.766 (36.410)	Prec@5 62.891 (66.130)
Epoch: [63][2670/7045]	Time 0.342 (0.251)	Data 0.290 (0.186)	Loss 2.5919 (2.6589)	Prec@1 37.500 (36.418)	Prec@5 70.703 (66.138)
Epoch: [63][2680/7045]	Time 0.101 (0.250)	Data 0.006 (0.186)	Loss 2.5146 (2.6589)	Prec@1 40.625 (36.415)	Prec@5 68.359 (66.138)
Epoch: [63][2690/7045]	Time 0.248 (0.250)	Data 0.195 (0.186)	Loss 2.5498 (2.6589)	Prec@1 37.891 (36.413)	Prec@5 69.531 (66.139)
Epoch: [63][2700/7045]	Time 0.102 (0.250)	Data 0.025 (0.186)	Loss 2.6414 (2.6591)	Prec@1 38.281 (36.410)	Prec@5 66.406 (66.138)
Epoch: [63][2710/7045]	Time 0.232 (0.250)	Data 0.181 (0.186)	Loss 2.4643 (2.6592)	Prec@1 35.938 (36.410)	Prec@5 70.703 (66.135)
Epoch: [63][2720/7045]	Time 0.237 (0.250)	Data 0.186 (0.186)	Loss 2.7062 (2.6592)	Prec@1 34.375 (36.408)	Prec@5 64.844 (66.133)
Epoch: [63][2730/7045]	Time 0.102 (0.250)	Data 0.007 (0.186)	Loss 2.5945 (2.6591)	Prec@1 34.375 (36.405)	Prec@5 67.188 (66.135)
Epoch: [63][2740/7045]	Time 0.684 (0.251)	Data 0.633 (0.186)	Loss 2.7662 (2.6591)	Prec@1 35.156 (36.403)	Prec@5 62.891 (66.135)
Epoch: [63][2750/7045]	Time 0.109 (0.250)	Data 0.005 (0.186)	Loss 2.5807 (2.6590)	Prec@1 38.281 (36.404)	Prec@5 67.969 (66.132)
Epoch: [63][2760/7045]	Time 0.726 (0.251)	Data 0.669 (0.186)	Loss 2.6985 (2.6589)	Prec@1 38.281 (36.408)	Prec@5 63.672 (66.134)
Epoch: [63][2770/7045]	Time 0.110 (0.250)	Data 0.001 (0.186)	Loss 2.5645 (2.6590)	Prec@1 38.281 (36.412)	Prec@5 67.188 (66.132)
Epoch: [63][2780/7045]	Time 0.541 (0.251)	Data 0.488 (0.186)	Loss 2.9439 (2.6590)	Prec@1 32.031 (36.414)	Prec@5 61.328 (66.134)
Epoch: [63][2790/7045]	Time 0.353 (0.251)	Data 0.302 (0.186)	Loss 2.7855 (2.6590)	Prec@1 36.328 (36.419)	Prec@5 60.938 (66.132)
Epoch: [63][2800/7045]	Time 0.115 (0.251)	Data 0.063 (0.186)	Loss 2.5906 (2.6591)	Prec@1 38.672 (36.412)	Prec@5 69.531 (66.129)
Epoch: [63][2810/7045]	Time 0.102 (0.251)	Data 0.001 (0.186)	Loss 2.4942 (2.6593)	Prec@1 39.062 (36.406)	Prec@5 68.750 (66.124)
Epoch: [63][2820/7045]	Time 0.112 (0.251)	Data 0.057 (0.186)	Loss 2.7426 (2.6592)	Prec@1 35.938 (36.409)	Prec@5 64.453 (66.129)
Epoch: [63][2830/7045]	Time 0.129 (0.250)	Data 0.077 (0.186)	Loss 2.7715 (2.6592)	Prec@1 35.547 (36.410)	Prec@5 64.453 (66.130)
Epoch: [63][2840/7045]	Time 0.347 (0.251)	Data 0.296 (0.186)	Loss 2.7074 (2.6593)	Prec@1 33.984 (36.410)	Prec@5 63.672 (66.127)
Epoch: [63][2850/7045]	Time 0.297 (0.251)	Data 0.246 (0.186)	Loss 2.6891 (2.6592)	Prec@1 34.375 (36.411)	Prec@5 62.891 (66.124)
Epoch: [63][2860/7045]	Time 0.095 (0.251)	Data 0.001 (0.186)	Loss 2.6771 (2.6591)	Prec@1 31.641 (36.408)	Prec@5 63.281 (66.126)
Epoch: [63][2870/7045]	Time 0.349 (0.251)	Data 0.298 (0.186)	Loss 2.6228 (2.6592)	Prec@1 38.281 (36.406)	Prec@5 65.625 (66.122)
Epoch: [63][2880/7045]	Time 0.101 (0.251)	Data 0.009 (0.186)	Loss 2.5357 (2.6594)	Prec@1 40.625 (36.407)	Prec@5 69.141 (66.120)
Epoch: [63][2890/7045]	Time 0.127 (0.251)	Data 0.075 (0.186)	Loss 2.4666 (2.6595)	Prec@1 45.703 (36.403)	Prec@5 67.578 (66.117)
Epoch: [63][2900/7045]	Time 0.103 (0.251)	Data 0.001 (0.186)	Loss 2.7557 (2.6595)	Prec@1 33.594 (36.401)	Prec@5 61.719 (66.116)
Epoch: [63][2910/7045]	Time 0.166 (0.251)	Data 0.112 (0.186)	Loss 2.5028 (2.6593)	Prec@1 36.719 (36.402)	Prec@5 66.016 (66.121)
Epoch: [63][2920/7045]	Time 0.177 (0.251)	Data 0.125 (0.186)	Loss 2.4458 (2.6591)	Prec@1 45.312 (36.408)	Prec@5 72.266 (66.126)
Epoch: [63][2930/7045]	Time 0.101 (0.251)	Data 0.001 (0.186)	Loss 2.8360 (2.6593)	Prec@1 32.812 (36.402)	Prec@5 58.203 (66.122)
Epoch: [63][2940/7045]	Time 0.142 (0.251)	Data 0.090 (0.186)	Loss 2.5933 (2.6592)	Prec@1 41.016 (36.404)	Prec@5 66.016 (66.124)
Epoch: [63][2950/7045]	Time 0.101 (0.251)	Data 0.001 (0.186)	Loss 2.5117 (2.6590)	Prec@1 41.016 (36.407)	Prec@5 66.016 (66.125)
Epoch: [63][2960/7045]	Time 0.580 (0.251)	Data 0.530 (0.186)	Loss 2.9244 (2.6590)	Prec@1 30.078 (36.405)	Prec@5 61.719 (66.128)
Epoch: [63][2970/7045]	Time 0.103 (0.251)	Data 0.001 (0.186)	Loss 2.5824 (2.6589)	Prec@1 35.938 (36.405)	Prec@5 66.016 (66.128)
Epoch: [63][2980/7045]	Time 0.726 (0.251)	Data 0.673 (0.186)	Loss 2.5333 (2.6590)	Prec@1 38.672 (36.406)	Prec@5 69.141 (66.126)
Epoch: [63][2990/7045]	Time 0.103 (0.251)	Data 0.001 (0.186)	Loss 2.5159 (2.6588)	Prec@1 36.328 (36.408)	Prec@5 67.188 (66.126)
Epoch: [63][3000/7045]	Time 0.262 (0.251)	Data 0.210 (0.186)	Loss 2.6245 (2.6587)	Prec@1 37.109 (36.412)	Prec@5 63.672 (66.128)
Epoch: [63][3010/7045]	Time 0.110 (0.251)	Data 0.058 (0.186)	Loss 2.2959 (2.6586)	Prec@1 44.531 (36.415)	Prec@5 71.094 (66.128)
Epoch: [63][3020/7045]	Time 0.127 (0.251)	Data 0.076 (0.186)	Loss 2.7149 (2.6584)	Prec@1 34.375 (36.417)	Prec@5 64.062 (66.132)
Epoch: [63][3030/7045]	Time 0.104 (0.251)	Data 0.051 (0.186)	Loss 3.0175 (2.6584)	Prec@1 32.422 (36.415)	Prec@5 58.203 (66.131)
Epoch: [63][3040/7045]	Time 0.101 (0.251)	Data 0.024 (0.186)	Loss 2.5801 (2.6585)	Prec@1 39.062 (36.410)	Prec@5 67.969 (66.129)
Epoch: [63][3050/7045]	Time 0.099 (0.251)	Data 0.011 (0.186)	Loss 2.4770 (2.6583)	Prec@1 38.281 (36.412)	Prec@5 72.656 (66.133)
Epoch: [63][3060/7045]	Time 0.132 (0.251)	Data 0.081 (0.186)	Loss 2.8105 (2.6585)	Prec@1 31.250 (36.403)	Prec@5 62.891 (66.130)
Epoch: [63][3070/7045]	Time 0.206 (0.251)	Data 0.145 (0.186)	Loss 2.7527 (2.6585)	Prec@1 32.812 (36.403)	Prec@5 64.453 (66.131)
Epoch: [63][3080/7045]	Time 0.466 (0.251)	Data 0.414 (0.186)	Loss 2.5129 (2.6582)	Prec@1 39.062 (36.409)	Prec@5 67.578 (66.137)
Epoch: [63][3090/7045]	Time 0.184 (0.251)	Data 0.132 (0.186)	Loss 2.7835 (2.6583)	Prec@1 33.984 (36.405)	Prec@5 63.672 (66.136)
Epoch: [63][3100/7045]	Time 0.426 (0.251)	Data 0.374 (0.186)	Loss 2.6257 (2.6584)	Prec@1 44.531 (36.411)	Prec@5 65.625 (66.133)
Epoch: [63][3110/7045]	Time 0.292 (0.251)	Data 0.241 (0.186)	Loss 2.5482 (2.6585)	Prec@1 34.766 (36.409)	Prec@5 69.922 (66.133)
Epoch: [63][3120/7045]	Time 0.101 (0.251)	Data 0.018 (0.186)	Loss 2.6632 (2.6583)	Prec@1 37.500 (36.411)	Prec@5 67.578 (66.133)
Epoch: [63][3130/7045]	Time 0.202 (0.251)	Data 0.150 (0.186)	Loss 2.7149 (2.6584)	Prec@1 35.938 (36.413)	Prec@5 60.156 (66.127)
Epoch: [63][3140/7045]	Time 0.625 (0.251)	Data 0.575 (0.186)	Loss 2.5358 (2.6583)	Prec@1 41.797 (36.413)	Prec@5 68.359 (66.125)
Epoch: [63][3150/7045]	Time 0.108 (0.251)	Data 0.049 (0.186)	Loss 2.6351 (2.6584)	Prec@1 35.547 (36.414)	Prec@5 66.406 (66.125)
Epoch: [63][3160/7045]	Time 0.513 (0.251)	Data 0.463 (0.186)	Loss 2.8446 (2.6585)	Prec@1 31.250 (36.409)	Prec@5 60.156 (66.122)
Epoch: [63][3170/7045]	Time 0.256 (0.251)	Data 0.205 (0.186)	Loss 2.6818 (2.6584)	Prec@1 37.891 (36.412)	Prec@5 66.016 (66.124)
Epoch: [63][3180/7045]	Time 0.513 (0.251)	Data 0.461 (0.186)	Loss 2.5418 (2.6583)	Prec@1 39.062 (36.415)	Prec@5 67.578 (66.125)
Epoch: [63][3190/7045]	Time 0.218 (0.251)	Data 0.167 (0.186)	Loss 2.6288 (2.6582)	Prec@1 36.328 (36.413)	Prec@5 70.312 (66.126)
Epoch: [63][3200/7045]	Time 0.434 (0.251)	Data 0.382 (0.186)	Loss 2.4029 (2.6581)	Prec@1 43.750 (36.417)	Prec@5 75.000 (66.131)
Epoch: [63][3210/7045]	Time 0.101 (0.251)	Data 0.001 (0.186)	Loss 2.5402 (2.6581)	Prec@1 45.703 (36.414)	Prec@5 67.969 (66.131)
Epoch: [63][3220/7045]	Time 0.157 (0.251)	Data 0.104 (0.186)	Loss 2.5926 (2.6582)	Prec@1 39.453 (36.414)	Prec@5 66.797 (66.131)
Epoch: [63][3230/7045]	Time 0.356 (0.251)	Data 0.306 (0.186)	Loss 2.6103 (2.6584)	Prec@1 35.547 (36.409)	Prec@5 66.797 (66.128)
Epoch: [63][3240/7045]	Time 0.109 (0.251)	Data 0.001 (0.186)	Loss 2.7606 (2.6584)	Prec@1 34.766 (36.410)	Prec@5 60.938 (66.125)
Epoch: [63][3250/7045]	Time 0.748 (0.251)	Data 0.696 (0.186)	Loss 2.5761 (2.6582)	Prec@1 36.719 (36.408)	Prec@5 69.531 (66.128)
Epoch: [63][3260/7045]	Time 0.123 (0.251)	Data 0.071 (0.186)	Loss 2.6941 (2.6581)	Prec@1 35.156 (36.409)	Prec@5 63.281 (66.128)
Epoch: [63][3270/7045]	Time 0.155 (0.251)	Data 0.104 (0.186)	Loss 2.7783 (2.6580)	Prec@1 34.766 (36.411)	Prec@5 64.062 (66.127)
Epoch: [63][3280/7045]	Time 0.156 (0.251)	Data 0.104 (0.186)	Loss 2.6126 (2.6580)	Prec@1 35.938 (36.410)	Prec@5 66.797 (66.130)
Epoch: [63][3290/7045]	Time 0.274 (0.251)	Data 0.223 (0.186)	Loss 2.5034 (2.6580)	Prec@1 40.625 (36.415)	Prec@5 71.484 (66.131)
Epoch: [63][3300/7045]	Time 0.101 (0.251)	Data 0.014 (0.186)	Loss 2.7817 (2.6579)	Prec@1 34.766 (36.417)	Prec@5 62.891 (66.130)
Epoch: [63][3310/7045]	Time 0.108 (0.251)	Data 0.055 (0.186)	Loss 2.5807 (2.6580)	Prec@1 35.547 (36.416)	Prec@5 67.578 (66.129)
Epoch: [63][3320/7045]	Time 0.525 (0.251)	Data 0.471 (0.186)	Loss 2.6320 (2.6580)	Prec@1 33.594 (36.417)	Prec@5 65.625 (66.131)
Epoch: [63][3330/7045]	Time 0.102 (0.251)	Data 0.021 (0.186)	Loss 2.6929 (2.6581)	Prec@1 32.812 (36.413)	Prec@5 64.062 (66.126)
Epoch: [63][3340/7045]	Time 0.677 (0.251)	Data 0.625 (0.186)	Loss 2.9231 (2.6582)	Prec@1 29.688 (36.408)	Prec@5 58.984 (66.123)
Epoch: [63][3350/7045]	Time 0.192 (0.251)	Data 0.141 (0.186)	Loss 2.7407 (2.6582)	Prec@1 37.891 (36.410)	Prec@5 64.844 (66.121)
Epoch: [63][3360/7045]	Time 0.171 (0.251)	Data 0.120 (0.186)	Loss 2.6070 (2.6580)	Prec@1 35.156 (36.409)	Prec@5 66.406 (66.127)
Epoch: [63][3370/7045]	Time 0.126 (0.251)	Data 0.074 (0.186)	Loss 3.0231 (2.6580)	Prec@1 33.594 (36.411)	Prec@5 59.375 (66.127)
Epoch: [63][3380/7045]	Time 0.110 (0.251)	Data 0.007 (0.186)	Loss 2.6185 (2.6580)	Prec@1 37.891 (36.410)	Prec@5 67.578 (66.128)
Epoch: [63][3390/7045]	Time 0.101 (0.251)	Data 0.001 (0.186)	Loss 2.3616 (2.6579)	Prec@1 38.672 (36.409)	Prec@5 74.609 (66.130)
Epoch: [63][3400/7045]	Time 0.135 (0.251)	Data 0.083 (0.186)	Loss 2.6021 (2.6578)	Prec@1 42.188 (36.415)	Prec@5 64.844 (66.130)
Epoch: [63][3410/7045]	Time 0.102 (0.251)	Data 0.001 (0.186)	Loss 2.7694 (2.6577)	Prec@1 32.031 (36.414)	Prec@5 65.234 (66.131)
Epoch: [63][3420/7045]	Time 0.114 (0.251)	Data 0.064 (0.186)	Loss 2.4456 (2.6575)	Prec@1 37.500 (36.419)	Prec@5 68.359 (66.137)
Epoch: [63][3430/7045]	Time 0.445 (0.251)	Data 0.393 (0.186)	Loss 2.4867 (2.6574)	Prec@1 37.891 (36.421)	Prec@5 69.531 (66.141)
Epoch: [63][3440/7045]	Time 0.108 (0.251)	Data 0.056 (0.186)	Loss 2.6920 (2.6574)	Prec@1 34.375 (36.419)	Prec@5 64.844 (66.140)
Epoch: [63][3450/7045]	Time 0.116 (0.251)	Data 0.055 (0.186)	Loss 2.5878 (2.6572)	Prec@1 39.453 (36.423)	Prec@5 66.797 (66.141)
Epoch: [63][3460/7045]	Time 0.102 (0.251)	Data 0.013 (0.186)	Loss 2.6255 (2.6574)	Prec@1 37.109 (36.417)	Prec@5 66.016 (66.138)
Epoch: [63][3470/7045]	Time 0.347 (0.251)	Data 0.295 (0.186)	Loss 2.7065 (2.6575)	Prec@1 35.156 (36.417)	Prec@5 67.188 (66.137)
Epoch: [63][3480/7045]	Time 0.205 (0.251)	Data 0.155 (0.186)	Loss 2.8668 (2.6577)	Prec@1 32.422 (36.415)	Prec@5 63.281 (66.133)
Epoch: [63][3490/7045]	Time 0.307 (0.251)	Data 0.255 (0.186)	Loss 2.5625 (2.6575)	Prec@1 37.891 (36.418)	Prec@5 65.625 (66.130)
Epoch: [63][3500/7045]	Time 0.403 (0.251)	Data 0.352 (0.186)	Loss 2.7487 (2.6573)	Prec@1 33.203 (36.419)	Prec@5 65.625 (66.136)
Epoch: [63][3510/7045]	Time 0.185 (0.251)	Data 0.133 (0.186)	Loss 2.6437 (2.6575)	Prec@1 37.109 (36.415)	Prec@5 67.188 (66.134)
Epoch: [63][3520/7045]	Time 0.285 (0.251)	Data 0.233 (0.186)	Loss 2.8491 (2.6575)	Prec@1 32.422 (36.414)	Prec@5 63.281 (66.136)
Epoch: [63][3530/7045]	Time 0.234 (0.251)	Data 0.183 (0.186)	Loss 2.5809 (2.6575)	Prec@1 39.453 (36.414)	Prec@5 66.406 (66.135)
Epoch: [63][3540/7045]	Time 0.197 (0.251)	Data 0.147 (0.186)	Loss 2.5746 (2.6577)	Prec@1 36.328 (36.410)	Prec@5 69.141 (66.132)
Epoch: [63][3550/7045]	Time 0.102 (0.251)	Data 0.011 (0.186)	Loss 2.5838 (2.6574)	Prec@1 35.547 (36.416)	Prec@5 66.016 (66.136)
Epoch: [63][3560/7045]	Time 0.181 (0.251)	Data 0.126 (0.186)	Loss 2.7009 (2.6572)	Prec@1 33.203 (36.417)	Prec@5 62.109 (66.140)
Epoch: [63][3570/7045]	Time 0.102 (0.251)	Data 0.015 (0.186)	Loss 2.4787 (2.6571)	Prec@1 40.234 (36.419)	Prec@5 70.312 (66.144)
Epoch: [63][3580/7045]	Time 0.128 (0.251)	Data 0.077 (0.186)	Loss 2.6535 (2.6571)	Prec@1 37.500 (36.419)	Prec@5 62.891 (66.141)
Epoch: [63][3590/7045]	Time 0.116 (0.251)	Data 0.064 (0.186)	Loss 2.5332 (2.6570)	Prec@1 37.891 (36.419)	Prec@5 66.797 (66.144)
Epoch: [63][3600/7045]	Time 0.155 (0.251)	Data 0.102 (0.186)	Loss 2.6450 (2.6571)	Prec@1 38.672 (36.417)	Prec@5 64.844 (66.144)
Epoch: [63][3610/7045]	Time 0.124 (0.251)	Data 0.072 (0.186)	Loss 2.8532 (2.6573)	Prec@1 32.031 (36.414)	Prec@5 62.891 (66.144)
Epoch: [63][3620/7045]	Time 0.103 (0.251)	Data 0.001 (0.186)	Loss 2.4921 (2.6572)	Prec@1 40.625 (36.413)	Prec@5 67.969 (66.145)
Epoch: [63][3630/7045]	Time 0.102 (0.251)	Data 0.009 (0.186)	Loss 2.5710 (2.6570)	Prec@1 38.672 (36.416)	Prec@5 65.625 (66.147)
Epoch: [63][3640/7045]	Time 0.160 (0.251)	Data 0.108 (0.186)	Loss 2.8334 (2.6570)	Prec@1 34.766 (36.414)	Prec@5 60.547 (66.145)
Epoch: [63][3650/7045]	Time 0.101 (0.251)	Data 0.006 (0.186)	Loss 2.4755 (2.6569)	Prec@1 41.016 (36.416)	Prec@5 69.531 (66.147)
Epoch: [63][3660/7045]	Time 0.222 (0.251)	Data 0.170 (0.186)	Loss 2.9133 (2.6569)	Prec@1 39.453 (36.418)	Prec@5 59.375 (66.143)
Epoch: [63][3670/7045]	Time 0.308 (0.251)	Data 0.256 (0.186)	Loss 2.5242 (2.6570)	Prec@1 37.500 (36.418)	Prec@5 67.578 (66.142)
Epoch: [63][3680/7045]	Time 0.102 (0.250)	Data 0.005 (0.186)	Loss 2.8346 (2.6572)	Prec@1 35.547 (36.413)	Prec@5 64.453 (66.138)
Epoch: [63][3690/7045]	Time 0.109 (0.250)	Data 0.057 (0.186)	Loss 2.8001 (2.6571)	Prec@1 35.156 (36.412)	Prec@5 65.234 (66.140)
Epoch: [63][3700/7045]	Time 0.401 (0.251)	Data 0.348 (0.186)	Loss 2.5515 (2.6571)	Prec@1 35.547 (36.409)	Prec@5 72.656 (66.142)
Epoch: [63][3710/7045]	Time 0.209 (0.250)	Data 0.158 (0.186)	Loss 2.7195 (2.6573)	Prec@1 35.547 (36.406)	Prec@5 64.453 (66.138)
Epoch: [63][3720/7045]	Time 0.291 (0.250)	Data 0.241 (0.186)	Loss 2.4639 (2.6572)	Prec@1 43.750 (36.406)	Prec@5 67.578 (66.141)
Epoch: [63][3730/7045]	Time 0.390 (0.250)	Data 0.338 (0.186)	Loss 2.6495 (2.6572)	Prec@1 33.594 (36.407)	Prec@5 63.672 (66.140)
Epoch: [63][3740/7045]	Time 0.433 (0.250)	Data 0.376 (0.186)	Loss 2.3909 (2.6571)	Prec@1 39.844 (36.410)	Prec@5 71.484 (66.144)
Epoch: [63][3750/7045]	Time 0.337 (0.250)	Data 0.285 (0.186)	Loss 2.6501 (2.6572)	Prec@1 31.641 (36.407)	Prec@5 64.062 (66.138)
Epoch: [63][3760/7045]	Time 0.419 (0.250)	Data 0.368 (0.186)	Loss 2.6667 (2.6573)	Prec@1 38.672 (36.407)	Prec@5 64.453 (66.136)
Epoch: [63][3770/7045]	Time 0.367 (0.250)	Data 0.314 (0.186)	Loss 2.6410 (2.6573)	Prec@1 35.938 (36.408)	Prec@5 64.844 (66.138)
Epoch: [63][3780/7045]	Time 0.308 (0.250)	Data 0.258 (0.186)	Loss 2.5472 (2.6572)	Prec@1 40.625 (36.410)	Prec@5 70.312 (66.139)
Epoch: [63][3790/7045]	Time 0.416 (0.250)	Data 0.364 (0.186)	Loss 2.7303 (2.6572)	Prec@1 36.719 (36.412)	Prec@5 65.625 (66.138)
Epoch: [63][3800/7045]	Time 0.184 (0.250)	Data 0.134 (0.186)	Loss 2.7178 (2.6573)	Prec@1 35.938 (36.411)	Prec@5 66.406 (66.138)
Epoch: [63][3810/7045]	Time 0.534 (0.250)	Data 0.483 (0.186)	Loss 2.8821 (2.6572)	Prec@1 35.938 (36.413)	Prec@5 62.500 (66.140)
Epoch: [63][3820/7045]	Time 0.101 (0.250)	Data 0.001 (0.186)	Loss 2.5203 (2.6571)	Prec@1 40.234 (36.416)	Prec@5 71.484 (66.142)
Epoch: [63][3830/7045]	Time 0.337 (0.250)	Data 0.286 (0.186)	Loss 2.5838 (2.6571)	Prec@1 37.109 (36.415)	Prec@5 69.141 (66.141)
Epoch: [63][3840/7045]	Time 0.524 (0.250)	Data 0.464 (0.186)	Loss 2.6193 (2.6572)	Prec@1 33.203 (36.414)	Prec@5 68.750 (66.141)
Epoch: [63][3850/7045]	Time 0.224 (0.250)	Data 0.173 (0.186)	Loss 2.6947 (2.6572)	Prec@1 40.625 (36.415)	Prec@5 66.406 (66.142)
Epoch: [63][3860/7045]	Time 0.557 (0.250)	Data 0.505 (0.186)	Loss 2.5075 (2.6569)	Prec@1 37.891 (36.421)	Prec@5 69.922 (66.150)
Epoch: [63][3870/7045]	Time 0.126 (0.250)	Data 0.076 (0.186)	Loss 2.5541 (2.6568)	Prec@1 38.281 (36.423)	Prec@5 66.016 (66.150)
Epoch: [63][3880/7045]	Time 0.258 (0.250)	Data 0.208 (0.186)	Loss 2.6903 (2.6570)	Prec@1 34.375 (36.421)	Prec@5 62.500 (66.146)
Epoch: [63][3890/7045]	Time 0.102 (0.250)	Data 0.001 (0.186)	Loss 2.7400 (2.6570)	Prec@1 34.375 (36.422)	Prec@5 67.188 (66.144)
Epoch: [63][3900/7045]	Time 0.207 (0.250)	Data 0.155 (0.186)	Loss 2.6726 (2.6571)	Prec@1 33.984 (36.421)	Prec@5 67.188 (66.144)
Epoch: [63][3910/7045]	Time 0.297 (0.250)	Data 0.246 (0.186)	Loss 2.8584 (2.6571)	Prec@1 33.984 (36.418)	Prec@5 64.062 (66.145)
Epoch: [63][3920/7045]	Time 0.372 (0.250)	Data 0.321 (0.186)	Loss 2.7587 (2.6573)	Prec@1 35.938 (36.415)	Prec@5 69.141 (66.142)
Epoch: [63][3930/7045]	Time 0.104 (0.250)	Data 0.052 (0.186)	Loss 2.5800 (2.6573)	Prec@1 38.672 (36.418)	Prec@5 66.797 (66.145)
Epoch: [63][3940/7045]	Time 0.322 (0.250)	Data 0.271 (0.186)	Loss 2.7073 (2.6572)	Prec@1 36.719 (36.423)	Prec@5 66.406 (66.147)
Epoch: [63][3950/7045]	Time 0.120 (0.250)	Data 0.069 (0.186)	Loss 2.7118 (2.6570)	Prec@1 36.719 (36.421)	Prec@5 64.844 (66.151)
Epoch: [63][3960/7045]	Time 0.302 (0.250)	Data 0.252 (0.186)	Loss 2.4893 (2.6570)	Prec@1 41.016 (36.424)	Prec@5 69.922 (66.152)
Epoch: [63][3970/7045]	Time 0.101 (0.250)	Data 0.001 (0.186)	Loss 2.4901 (2.6570)	Prec@1 37.109 (36.425)	Prec@5 66.406 (66.152)
Epoch: [63][3980/7045]	Time 0.102 (0.250)	Data 0.001 (0.186)	Loss 2.6819 (2.6569)	Prec@1 35.938 (36.425)	Prec@5 64.844 (66.154)
Epoch: [63][3990/7045]	Time 0.232 (0.250)	Data 0.180 (0.186)	Loss 2.5047 (2.6570)	Prec@1 41.016 (36.423)	Prec@5 66.797 (66.152)
Epoch: [63][4000/7045]	Time 0.180 (0.250)	Data 0.129 (0.186)	Loss 2.6456 (2.6572)	Prec@1 37.891 (36.422)	Prec@5 64.062 (66.150)
Epoch: [63][4010/7045]	Time 0.240 (0.250)	Data 0.189 (0.186)	Loss 2.6431 (2.6571)	Prec@1 39.844 (36.427)	Prec@5 66.797 (66.154)
Epoch: [63][4020/7045]	Time 0.102 (0.250)	Data 0.045 (0.186)	Loss 2.6746 (2.6571)	Prec@1 37.109 (36.427)	Prec@5 66.016 (66.153)
Epoch: [63][4030/7045]	Time 0.528 (0.250)	Data 0.476 (0.186)	Loss 2.7953 (2.6571)	Prec@1 35.938 (36.426)	Prec@5 62.109 (66.152)
Epoch: [63][4040/7045]	Time 0.103 (0.250)	Data 0.001 (0.186)	Loss 2.4546 (2.6571)	Prec@1 39.062 (36.425)	Prec@5 69.922 (66.153)
Epoch: [63][4050/7045]	Time 0.536 (0.250)	Data 0.483 (0.186)	Loss 2.8157 (2.6571)	Prec@1 32.031 (36.425)	Prec@5 63.672 (66.156)
Epoch: [63][4060/7045]	Time 0.183 (0.250)	Data 0.124 (0.186)	Loss 2.6288 (2.6571)	Prec@1 41.016 (36.426)	Prec@5 65.625 (66.153)
Epoch: [63][4070/7045]	Time 0.138 (0.250)	Data 0.084 (0.186)	Loss 2.6871 (2.6569)	Prec@1 35.547 (36.430)	Prec@5 62.891 (66.153)
Epoch: [63][4080/7045]	Time 0.140 (0.250)	Data 0.088 (0.186)	Loss 2.5681 (2.6569)	Prec@1 37.891 (36.431)	Prec@5 66.406 (66.153)
Epoch: [63][4090/7045]	Time 0.751 (0.250)	Data 0.699 (0.186)	Loss 2.6560 (2.6569)	Prec@1 37.891 (36.433)	Prec@5 63.672 (66.155)
Epoch: [63][4100/7045]	Time 0.153 (0.250)	Data 0.102 (0.186)	Loss 2.7168 (2.6569)	Prec@1 37.891 (36.431)	Prec@5 65.625 (66.153)
Epoch: [63][4110/7045]	Time 0.412 (0.250)	Data 0.361 (0.186)	Loss 2.5495 (2.6569)	Prec@1 35.156 (36.429)	Prec@5 69.141 (66.153)
Epoch: [63][4120/7045]	Time 0.102 (0.250)	Data 0.011 (0.186)	Loss 2.6375 (2.6569)	Prec@1 37.500 (36.425)	Prec@5 66.016 (66.153)
Epoch: [63][4130/7045]	Time 0.102 (0.250)	Data 0.012 (0.186)	Loss 2.4881 (2.6569)	Prec@1 37.500 (36.427)	Prec@5 70.703 (66.155)
Epoch: [63][4140/7045]	Time 0.102 (0.250)	Data 0.010 (0.186)	Loss 2.6793 (2.6569)	Prec@1 38.281 (36.425)	Prec@5 63.281 (66.151)
Epoch: [63][4150/7045]	Time 0.114 (0.250)	Data 0.014 (0.186)	Loss 2.6116 (2.6569)	Prec@1 40.234 (36.427)	Prec@5 67.578 (66.152)
Epoch: [63][4160/7045]	Time 0.148 (0.250)	Data 0.097 (0.186)	Loss 2.7784 (2.6570)	Prec@1 32.812 (36.425)	Prec@5 63.672 (66.151)
Epoch: [63][4170/7045]	Time 0.103 (0.250)	Data 0.012 (0.186)	Loss 2.5553 (2.6569)	Prec@1 38.672 (36.427)	Prec@5 69.922 (66.154)
Epoch: [63][4180/7045]	Time 0.111 (0.250)	Data 0.060 (0.186)	Loss 2.7537 (2.6570)	Prec@1 35.547 (36.426)	Prec@5 66.406 (66.154)
Epoch: [63][4190/7045]	Time 0.387 (0.250)	Data 0.337 (0.186)	Loss 2.6854 (2.6568)	Prec@1 37.891 (36.432)	Prec@5 67.188 (66.158)
Epoch: [63][4200/7045]	Time 0.220 (0.250)	Data 0.170 (0.186)	Loss 2.7617 (2.6567)	Prec@1 33.984 (36.434)	Prec@5 64.453 (66.160)
Epoch: [63][4210/7045]	Time 0.109 (0.251)	Data 0.001 (0.186)	Loss 2.6994 (2.6566)	Prec@1 35.547 (36.438)	Prec@5 67.578 (66.160)
Epoch: [63][4220/7045]	Time 0.103 (0.250)	Data 0.001 (0.186)	Loss 2.8188 (2.6566)	Prec@1 33.984 (36.436)	Prec@5 64.062 (66.158)
Epoch: [63][4230/7045]	Time 0.184 (0.250)	Data 0.128 (0.186)	Loss 2.8244 (2.6566)	Prec@1 32.812 (36.434)	Prec@5 65.234 (66.160)
Epoch: [63][4240/7045]	Time 0.102 (0.250)	Data 0.001 (0.186)	Loss 2.7330 (2.6566)	Prec@1 37.500 (36.436)	Prec@5 66.797 (66.161)
Epoch: [63][4250/7045]	Time 0.346 (0.251)	Data 0.294 (0.186)	Loss 2.6173 (2.6566)	Prec@1 38.672 (36.436)	Prec@5 66.016 (66.165)
Epoch: [63][4260/7045]	Time 0.102 (0.250)	Data 0.001 (0.186)	Loss 2.4542 (2.6564)	Prec@1 38.281 (36.439)	Prec@5 73.828 (66.167)
Epoch: [63][4270/7045]	Time 0.487 (0.250)	Data 0.435 (0.186)	Loss 2.6803 (2.6564)	Prec@1 31.250 (36.437)	Prec@5 63.281 (66.167)
Epoch: [63][4280/7045]	Time 0.164 (0.250)	Data 0.105 (0.186)	Loss 2.5676 (2.6564)	Prec@1 31.250 (36.432)	Prec@5 68.750 (66.167)
Epoch: [63][4290/7045]	Time 0.668 (0.251)	Data 0.618 (0.186)	Loss 2.8219 (2.6564)	Prec@1 32.812 (36.433)	Prec@5 66.016 (66.169)
Epoch: [63][4300/7045]	Time 0.102 (0.250)	Data 0.001 (0.186)	Loss 2.6740 (2.6564)	Prec@1 36.719 (36.433)	Prec@5 64.453 (66.171)
Epoch: [63][4310/7045]	Time 0.640 (0.250)	Data 0.580 (0.186)	Loss 2.7302 (2.6564)	Prec@1 34.375 (36.430)	Prec@5 59.375 (66.170)
Epoch: [63][4320/7045]	Time 0.102 (0.250)	Data 0.001 (0.186)	Loss 2.7503 (2.6564)	Prec@1 38.281 (36.432)	Prec@5 66.406 (66.168)
Epoch: [63][4330/7045]	Time 0.611 (0.251)	Data 0.561 (0.186)	Loss 2.8102 (2.6564)	Prec@1 34.375 (36.436)	Prec@5 60.156 (66.168)
Epoch: [63][4340/7045]	Time 0.334 (0.250)	Data 0.283 (0.186)	Loss 2.7029 (2.6564)	Prec@1 37.500 (36.436)	Prec@5 66.016 (66.166)
Epoch: [63][4350/7045]	Time 0.114 (0.250)	Data 0.062 (0.186)	Loss 2.6658 (2.6563)	Prec@1 37.109 (36.441)	Prec@5 68.750 (66.172)
Epoch: [63][4360/7045]	Time 0.696 (0.251)	Data 0.644 (0.186)	Loss 2.6169 (2.6564)	Prec@1 38.281 (36.438)	Prec@5 68.359 (66.169)
Epoch: [63][4370/7045]	Time 0.110 (0.250)	Data 0.001 (0.186)	Loss 2.5178 (2.6564)	Prec@1 38.281 (36.438)	Prec@5 68.750 (66.168)
Epoch: [63][4380/7045]	Time 0.394 (0.251)	Data 0.342 (0.186)	Loss 2.3612 (2.6563)	Prec@1 43.750 (36.442)	Prec@5 71.875 (66.170)
Epoch: [63][4390/7045]	Time 0.162 (0.250)	Data 0.111 (0.186)	Loss 2.4338 (2.6562)	Prec@1 36.719 (36.445)	Prec@5 71.484 (66.172)
Epoch: [63][4400/7045]	Time 0.104 (0.250)	Data 0.051 (0.186)	Loss 2.7284 (2.6561)	Prec@1 38.672 (36.447)	Prec@5 64.844 (66.174)
Epoch: [63][4410/7045]	Time 0.164 (0.250)	Data 0.112 (0.186)	Loss 2.7061 (2.6562)	Prec@1 34.375 (36.444)	Prec@5 64.062 (66.173)
Epoch: [63][4420/7045]	Time 0.632 (0.251)	Data 0.573 (0.186)	Loss 2.9140 (2.6563)	Prec@1 32.422 (36.439)	Prec@5 59.766 (66.171)
Epoch: [63][4430/7045]	Time 0.102 (0.250)	Data 0.001 (0.186)	Loss 2.5041 (2.6563)	Prec@1 38.672 (36.439)	Prec@5 69.531 (66.171)
Epoch: [63][4440/7045]	Time 0.571 (0.251)	Data 0.521 (0.186)	Loss 2.6201 (2.6563)	Prec@1 40.625 (36.442)	Prec@5 66.016 (66.171)
Epoch: [63][4450/7045]	Time 0.102 (0.250)	Data 0.051 (0.186)	Loss 2.5340 (2.6563)	Prec@1 40.625 (36.442)	Prec@5 66.797 (66.170)
Epoch: [63][4460/7045]	Time 0.346 (0.251)	Data 0.287 (0.186)	Loss 2.7734 (2.6563)	Prec@1 35.156 (36.441)	Prec@5 62.891 (66.169)
Epoch: [63][4470/7045]	Time 0.295 (0.250)	Data 0.243 (0.186)	Loss 2.7610 (2.6564)	Prec@1 35.938 (36.442)	Prec@5 66.406 (66.169)
Epoch: [63][4480/7045]	Time 0.126 (0.250)	Data 0.074 (0.186)	Loss 2.7691 (2.6565)	Prec@1 29.297 (36.440)	Prec@5 64.062 (66.167)
Epoch: [63][4490/7045]	Time 0.203 (0.250)	Data 0.151 (0.186)	Loss 2.7665 (2.6564)	Prec@1 34.375 (36.440)	Prec@5 63.672 (66.166)
Epoch: [63][4500/7045]	Time 0.102 (0.250)	Data 0.017 (0.186)	Loss 2.4827 (2.6564)	Prec@1 41.016 (36.439)	Prec@5 72.266 (66.164)
Epoch: [63][4510/7045]	Time 0.173 (0.250)	Data 0.121 (0.186)	Loss 2.7185 (2.6564)	Prec@1 35.938 (36.438)	Prec@5 67.969 (66.166)
Epoch: [63][4520/7045]	Time 0.453 (0.250)	Data 0.401 (0.186)	Loss 2.4382 (2.6565)	Prec@1 40.625 (36.439)	Prec@5 69.531 (66.166)
Epoch: [63][4530/7045]	Time 0.102 (0.251)	Data 0.001 (0.186)	Loss 2.6124 (2.6563)	Prec@1 35.547 (36.441)	Prec@5 65.234 (66.170)
Epoch: [63][4540/7045]	Time 0.509 (0.250)	Data 0.459 (0.186)	Loss 2.5215 (2.6563)	Prec@1 43.359 (36.442)	Prec@5 67.188 (66.169)
Epoch: [63][4550/7045]	Time 0.128 (0.250)	Data 0.076 (0.186)	Loss 2.6150 (2.6563)	Prec@1 34.375 (36.443)	Prec@5 66.406 (66.169)
Epoch: [63][4560/7045]	Time 0.600 (0.251)	Data 0.550 (0.186)	Loss 2.7083 (2.6562)	Prec@1 32.031 (36.445)	Prec@5 66.406 (66.172)
Epoch: [63][4570/7045]	Time 0.111 (0.250)	Data 0.001 (0.186)	Loss 2.7539 (2.6562)	Prec@1 30.469 (36.443)	Prec@5 64.062 (66.174)
Epoch: [63][4580/7045]	Time 0.206 (0.250)	Data 0.156 (0.186)	Loss 2.7412 (2.6562)	Prec@1 35.156 (36.444)	Prec@5 62.500 (66.172)
Epoch: [63][4590/7045]	Time 0.109 (0.251)	Data 0.001 (0.186)	Loss 2.5018 (2.6561)	Prec@1 37.891 (36.444)	Prec@5 69.531 (66.174)
Epoch: [63][4600/7045]	Time 0.102 (0.250)	Data 0.001 (0.186)	Loss 2.7111 (2.6561)	Prec@1 35.547 (36.445)	Prec@5 64.062 (66.175)
Epoch: [63][4610/7045]	Time 0.102 (0.250)	Data 0.005 (0.186)	Loss 2.7100 (2.6563)	Prec@1 41.016 (36.442)	Prec@5 60.938 (66.171)
Epoch: [63][4620/7045]	Time 0.103 (0.250)	Data 0.001 (0.186)	Loss 2.6626 (2.6562)	Prec@1 34.375 (36.442)	Prec@5 66.406 (66.173)
Epoch: [63][4630/7045]	Time 0.409 (0.251)	Data 0.357 (0.186)	Loss 2.6430 (2.6561)	Prec@1 36.719 (36.444)	Prec@5 69.922 (66.177)
Epoch: [63][4640/7045]	Time 0.102 (0.250)	Data 0.001 (0.186)	Loss 2.7149 (2.6562)	Prec@1 31.641 (36.441)	Prec@5 66.406 (66.173)
Epoch: [63][4650/7045]	Time 0.651 (0.251)	Data 0.600 (0.186)	Loss 2.6475 (2.6561)	Prec@1 34.375 (36.441)	Prec@5 66.406 (66.175)
Epoch: [63][4660/7045]	Time 0.093 (0.250)	Data 0.001 (0.186)	Loss 2.9204 (2.6561)	Prec@1 30.859 (36.443)	Prec@5 63.672 (66.176)
Epoch: [63][4670/7045]	Time 0.825 (0.251)	Data 0.773 (0.186)	Loss 2.7290 (2.6562)	Prec@1 38.281 (36.444)	Prec@5 64.844 (66.173)
Epoch: [63][4680/7045]	Time 0.101 (0.250)	Data 0.047 (0.186)	Loss 2.4719 (2.6562)	Prec@1 38.281 (36.443)	Prec@5 68.750 (66.177)
Epoch: [63][4690/7045]	Time 0.618 (0.250)	Data 0.559 (0.186)	Loss 2.6959 (2.6562)	Prec@1 32.812 (36.439)	Prec@5 64.062 (66.178)
Epoch: [63][4700/7045]	Time 0.295 (0.250)	Data 0.243 (0.186)	Loss 2.7585 (2.6561)	Prec@1 34.375 (36.442)	Prec@5 65.234 (66.177)
Epoch: [63][4710/7045]	Time 0.385 (0.250)	Data 0.334 (0.186)	Loss 2.8141 (2.6562)	Prec@1 33.984 (36.442)	Prec@5 60.547 (66.175)
Epoch: [63][4720/7045]	Time 0.214 (0.250)	Data 0.164 (0.186)	Loss 2.5066 (2.6562)	Prec@1 38.672 (36.442)	Prec@5 67.188 (66.176)
Epoch: [63][4730/7045]	Time 0.102 (0.250)	Data 0.018 (0.186)	Loss 2.6050 (2.6561)	Prec@1 35.938 (36.442)	Prec@5 64.844 (66.176)
Epoch: [63][4740/7045]	Time 0.103 (0.250)	Data 0.051 (0.186)	Loss 2.8902 (2.6563)	Prec@1 35.547 (36.440)	Prec@5 64.062 (66.174)
Epoch: [63][4750/7045]	Time 0.454 (0.250)	Data 0.403 (0.186)	Loss 2.5913 (2.6563)	Prec@1 36.719 (36.439)	Prec@5 69.141 (66.172)
Epoch: [63][4760/7045]	Time 0.102 (0.250)	Data 0.003 (0.186)	Loss 2.5939 (2.6563)	Prec@1 35.547 (36.438)	Prec@5 66.016 (66.172)
Epoch: [63][4770/7045]	Time 0.658 (0.251)	Data 0.607 (0.186)	Loss 2.4333 (2.6564)	Prec@1 40.625 (36.437)	Prec@5 66.797 (66.173)
Epoch: [63][4780/7045]	Time 0.233 (0.250)	Data 0.182 (0.186)	Loss 2.6603 (2.6564)	Prec@1 33.594 (36.435)	Prec@5 66.016 (66.172)
Epoch: [63][4790/7045]	Time 0.359 (0.250)	Data 0.307 (0.186)	Loss 2.5741 (2.6564)	Prec@1 35.156 (36.435)	Prec@5 69.531 (66.172)
Epoch: [63][4800/7045]	Time 0.215 (0.250)	Data 0.165 (0.186)	Loss 2.4549 (2.6564)	Prec@1 41.016 (36.436)	Prec@5 66.797 (66.174)
Epoch: [63][4810/7045]	Time 0.103 (0.250)	Data 0.050 (0.186)	Loss 2.5140 (2.6563)	Prec@1 39.453 (36.437)	Prec@5 71.094 (66.176)
Epoch: [63][4820/7045]	Time 0.188 (0.250)	Data 0.137 (0.186)	Loss 2.7817 (2.6562)	Prec@1 31.641 (36.439)	Prec@5 63.672 (66.178)
Epoch: [63][4830/7045]	Time 0.228 (0.250)	Data 0.177 (0.186)	Loss 2.5731 (2.6562)	Prec@1 36.719 (36.441)	Prec@5 66.406 (66.180)
Epoch: [63][4840/7045]	Time 0.132 (0.250)	Data 0.082 (0.186)	Loss 2.5851 (2.6561)	Prec@1 35.156 (36.441)	Prec@5 65.625 (66.183)
Epoch: [63][4850/7045]	Time 0.616 (0.250)	Data 0.558 (0.186)	Loss 2.6612 (2.6560)	Prec@1 39.453 (36.441)	Prec@5 69.141 (66.183)
Epoch: [63][4860/7045]	Time 0.106 (0.250)	Data 0.054 (0.186)	Loss 2.5445 (2.6560)	Prec@1 34.766 (36.442)	Prec@5 67.969 (66.182)
Epoch: [63][4870/7045]	Time 0.432 (0.250)	Data 0.380 (0.186)	Loss 2.5948 (2.6560)	Prec@1 34.766 (36.440)	Prec@5 68.359 (66.183)
Epoch: [63][4880/7045]	Time 0.138 (0.250)	Data 0.079 (0.186)	Loss 2.7927 (2.6562)	Prec@1 31.641 (36.434)	Prec@5 63.672 (66.179)
Epoch: [63][4890/7045]	Time 0.174 (0.250)	Data 0.118 (0.186)	Loss 2.6038 (2.6562)	Prec@1 38.672 (36.433)	Prec@5 66.406 (66.179)
Epoch: [63][4900/7045]	Time 0.287 (0.250)	Data 0.235 (0.186)	Loss 2.6323 (2.6561)	Prec@1 37.891 (36.436)	Prec@5 66.016 (66.182)
Epoch: [63][4910/7045]	Time 0.102 (0.250)	Data 0.001 (0.186)	Loss 2.6393 (2.6563)	Prec@1 38.672 (36.432)	Prec@5 64.844 (66.179)
Epoch: [63][4920/7045]	Time 0.389 (0.250)	Data 0.337 (0.186)	Loss 2.6792 (2.6563)	Prec@1 35.938 (36.433)	Prec@5 65.625 (66.178)
Epoch: [63][4930/7045]	Time 0.209 (0.250)	Data 0.158 (0.186)	Loss 2.5734 (2.6563)	Prec@1 36.328 (36.432)	Prec@5 66.797 (66.178)
Epoch: [63][4940/7045]	Time 0.296 (0.250)	Data 0.246 (0.186)	Loss 2.7167 (2.6562)	Prec@1 37.109 (36.435)	Prec@5 66.016 (66.182)
Epoch: [63][4950/7045]	Time 0.111 (0.250)	Data 0.050 (0.186)	Loss 2.8385 (2.6562)	Prec@1 30.078 (36.435)	Prec@5 61.719 (66.182)
Epoch: [63][4960/7045]	Time 0.102 (0.250)	Data 0.001 (0.186)	Loss 2.7428 (2.6563)	Prec@1 35.938 (36.434)	Prec@5 63.672 (66.180)
Epoch: [63][4970/7045]	Time 0.356 (0.250)	Data 0.299 (0.186)	Loss 2.6507 (2.6564)	Prec@1 39.453 (36.431)	Prec@5 68.359 (66.179)
Epoch: [63][4980/7045]	Time 0.398 (0.250)	Data 0.347 (0.186)	Loss 2.5327 (2.6562)	Prec@1 41.797 (36.435)	Prec@5 69.922 (66.182)
Epoch: [63][4990/7045]	Time 0.103 (0.250)	Data 0.003 (0.186)	Loss 2.5941 (2.6562)	Prec@1 33.984 (36.437)	Prec@5 67.969 (66.183)
Epoch: [63][5000/7045]	Time 0.101 (0.250)	Data 0.007 (0.186)	Loss 2.7084 (2.6562)	Prec@1 37.109 (36.437)	Prec@5 64.062 (66.183)
Epoch: [63][5010/7045]	Time 0.134 (0.250)	Data 0.078 (0.186)	Loss 2.8253 (2.6562)	Prec@1 33.984 (36.439)	Prec@5 62.891 (66.183)
Epoch: [63][5020/7045]	Time 0.450 (0.250)	Data 0.398 (0.186)	Loss 2.5335 (2.6562)	Prec@1 41.406 (36.438)	Prec@5 64.844 (66.184)
Epoch: [63][5030/7045]	Time 0.256 (0.250)	Data 0.205 (0.186)	Loss 2.7692 (2.6563)	Prec@1 39.062 (36.436)	Prec@5 64.062 (66.182)
Epoch: [63][5040/7045]	Time 0.102 (0.250)	Data 0.001 (0.186)	Loss 2.7300 (2.6563)	Prec@1 32.812 (36.437)	Prec@5 64.844 (66.183)
Epoch: [63][5050/7045]	Time 0.396 (0.250)	Data 0.346 (0.186)	Loss 2.6463 (2.6563)	Prec@1 35.547 (36.435)	Prec@5 69.141 (66.183)
Epoch: [63][5060/7045]	Time 0.110 (0.250)	Data 0.001 (0.186)	Loss 2.6550 (2.6563)	Prec@1 36.719 (36.432)	Prec@5 65.234 (66.181)
Epoch: [63][5070/7045]	Time 0.517 (0.250)	Data 0.467 (0.186)	Loss 2.5091 (2.6563)	Prec@1 38.672 (36.433)	Prec@5 68.750 (66.184)
Epoch: [63][5080/7045]	Time 0.119 (0.250)	Data 0.068 (0.186)	Loss 2.7969 (2.6563)	Prec@1 34.766 (36.430)	Prec@5 63.672 (66.183)
Epoch: [63][5090/7045]	Time 0.102 (0.250)	Data 0.001 (0.186)	Loss 2.7040 (2.6564)	Prec@1 35.547 (36.427)	Prec@5 65.234 (66.182)
Epoch: [63][5100/7045]	Time 0.437 (0.250)	Data 0.386 (0.186)	Loss 2.6559 (2.6564)	Prec@1 35.938 (36.429)	Prec@5 63.672 (66.180)
Epoch: [63][5110/7045]	Time 0.105 (0.250)	Data 0.052 (0.186)	Loss 2.6557 (2.6564)	Prec@1 33.594 (36.426)	Prec@5 65.625 (66.177)
Epoch: [63][5120/7045]	Time 0.108 (0.250)	Data 0.049 (0.186)	Loss 2.5454 (2.6563)	Prec@1 39.062 (36.427)	Prec@5 65.625 (66.177)
Epoch: [63][5130/7045]	Time 0.184 (0.251)	Data 0.134 (0.186)	Loss 2.8198 (2.6563)	Prec@1 32.031 (36.428)	Prec@5 62.891 (66.180)
Epoch: [63][5140/7045]	Time 0.102 (0.250)	Data 0.006 (0.186)	Loss 2.6221 (2.6563)	Prec@1 39.453 (36.429)	Prec@5 66.016 (66.178)
Epoch: [63][5150/7045]	Time 0.681 (0.251)	Data 0.629 (0.186)	Loss 2.6663 (2.6563)	Prec@1 38.281 (36.430)	Prec@5 65.234 (66.178)
Epoch: [63][5160/7045]	Time 0.127 (0.251)	Data 0.076 (0.186)	Loss 2.2517 (2.6563)	Prec@1 39.844 (36.428)	Prec@5 73.047 (66.179)
Epoch: [63][5170/7045]	Time 0.280 (0.251)	Data 0.229 (0.186)	Loss 2.4830 (2.6563)	Prec@1 38.672 (36.428)	Prec@5 68.750 (66.180)
Epoch: [63][5180/7045]	Time 0.102 (0.251)	Data 0.001 (0.186)	Loss 2.7651 (2.6563)	Prec@1 34.766 (36.430)	Prec@5 64.453 (66.181)
Epoch: [63][5190/7045]	Time 0.238 (0.251)	Data 0.187 (0.186)	Loss 2.6305 (2.6562)	Prec@1 39.062 (36.430)	Prec@5 67.969 (66.181)
Epoch: [63][5200/7045]	Time 0.112 (0.251)	Data 0.061 (0.186)	Loss 2.5401 (2.6562)	Prec@1 39.062 (36.430)	Prec@5 68.750 (66.180)
Epoch: [63][5210/7045]	Time 0.321 (0.251)	Data 0.270 (0.186)	Loss 2.6401 (2.6562)	Prec@1 38.672 (36.432)	Prec@5 67.969 (66.180)
Epoch: [63][5220/7045]	Time 0.170 (0.251)	Data 0.118 (0.186)	Loss 2.9106 (2.6562)	Prec@1 29.297 (36.431)	Prec@5 56.641 (66.179)
Epoch: [63][5230/7045]	Time 0.106 (0.251)	Data 0.001 (0.186)	Loss 2.5217 (2.6560)	Prec@1 41.406 (36.433)	Prec@5 69.141 (66.181)
Epoch: [63][5240/7045]	Time 0.101 (0.251)	Data 0.001 (0.186)	Loss 2.5879 (2.6560)	Prec@1 38.281 (36.431)	Prec@5 66.406 (66.181)
Epoch: [63][5250/7045]	Time 0.208 (0.251)	Data 0.158 (0.186)	Loss 2.7254 (2.6561)	Prec@1 35.938 (36.429)	Prec@5 64.453 (66.179)
Epoch: [63][5260/7045]	Time 0.102 (0.251)	Data 0.001 (0.186)	Loss 2.6660 (2.6561)	Prec@1 41.406 (36.430)	Prec@5 62.891 (66.179)
Epoch: [63][5270/7045]	Time 0.429 (0.251)	Data 0.378 (0.186)	Loss 2.8222 (2.6561)	Prec@1 32.422 (36.429)	Prec@5 62.891 (66.179)
Epoch: [63][5280/7045]	Time 0.283 (0.251)	Data 0.232 (0.186)	Loss 2.8623 (2.6561)	Prec@1 30.859 (36.430)	Prec@5 61.328 (66.180)
Epoch: [63][5290/7045]	Time 0.152 (0.251)	Data 0.100 (0.186)	Loss 2.5815 (2.6561)	Prec@1 35.938 (36.430)	Prec@5 69.531 (66.180)
Epoch: [63][5300/7045]	Time 0.104 (0.251)	Data 0.020 (0.186)	Loss 2.9173 (2.6559)	Prec@1 32.031 (36.433)	Prec@5 62.891 (66.183)
Epoch: [63][5310/7045]	Time 0.146 (0.251)	Data 0.096 (0.186)	Loss 2.5850 (2.6559)	Prec@1 36.719 (36.436)	Prec@5 65.625 (66.185)
Epoch: [63][5320/7045]	Time 0.108 (0.251)	Data 0.057 (0.186)	Loss 2.6444 (2.6558)	Prec@1 39.453 (36.439)	Prec@5 66.797 (66.187)
Epoch: [63][5330/7045]	Time 0.455 (0.251)	Data 0.405 (0.186)	Loss 2.8164 (2.6557)	Prec@1 32.812 (36.440)	Prec@5 66.406 (66.188)
Epoch: [63][5340/7045]	Time 0.281 (0.251)	Data 0.230 (0.186)	Loss 2.7481 (2.6558)	Prec@1 35.156 (36.438)	Prec@5 64.844 (66.188)
Epoch: [63][5350/7045]	Time 0.292 (0.251)	Data 0.241 (0.186)	Loss 2.5610 (2.6558)	Prec@1 43.750 (36.440)	Prec@5 69.141 (66.187)
Epoch: [63][5360/7045]	Time 0.112 (0.251)	Data 0.060 (0.186)	Loss 2.9036 (2.6558)	Prec@1 33.203 (36.440)	Prec@5 63.672 (66.188)
Epoch: [63][5370/7045]	Time 0.205 (0.251)	Data 0.155 (0.186)	Loss 2.6222 (2.6559)	Prec@1 37.109 (36.439)	Prec@5 66.406 (66.188)
Epoch: [63][5380/7045]	Time 0.102 (0.251)	Data 0.002 (0.186)	Loss 2.7941 (2.6559)	Prec@1 32.812 (36.437)	Prec@5 64.844 (66.188)
Epoch: [63][5390/7045]	Time 0.288 (0.251)	Data 0.236 (0.186)	Loss 2.5200 (2.6559)	Prec@1 38.672 (36.437)	Prec@5 70.703 (66.189)
Epoch: [63][5400/7045]	Time 0.103 (0.251)	Data 0.001 (0.186)	Loss 2.6543 (2.6558)	Prec@1 36.328 (36.437)	Prec@5 66.406 (66.192)
Epoch: [63][5410/7045]	Time 0.102 (0.251)	Data 0.001 (0.186)	Loss 2.7048 (2.6559)	Prec@1 34.375 (36.436)	Prec@5 66.016 (66.191)
Epoch: [63][5420/7045]	Time 0.151 (0.251)	Data 0.101 (0.186)	Loss 2.7602 (2.6558)	Prec@1 33.984 (36.439)	Prec@5 66.406 (66.194)
Epoch: [63][5430/7045]	Time 0.121 (0.251)	Data 0.069 (0.186)	Loss 2.5145 (2.6559)	Prec@1 39.062 (36.436)	Prec@5 65.625 (66.193)
Epoch: [63][5440/7045]	Time 0.163 (0.251)	Data 0.113 (0.186)	Loss 2.5204 (2.6558)	Prec@1 38.672 (36.437)	Prec@5 68.750 (66.195)
Epoch: [63][5450/7045]	Time 0.724 (0.251)	Data 0.673 (0.186)	Loss 2.4873 (2.6557)	Prec@1 35.547 (36.438)	Prec@5 71.875 (66.197)
Epoch: [63][5460/7045]	Time 0.101 (0.251)	Data 0.001 (0.186)	Loss 2.6442 (2.6557)	Prec@1 36.719 (36.437)	Prec@5 65.234 (66.196)
Epoch: [63][5470/7045]	Time 0.565 (0.251)	Data 0.514 (0.186)	Loss 2.6477 (2.6556)	Prec@1 32.812 (36.439)	Prec@5 68.359 (66.197)
Epoch: [63][5480/7045]	Time 0.101 (0.251)	Data 0.001 (0.186)	Loss 2.6637 (2.6555)	Prec@1 36.328 (36.440)	Prec@5 66.797 (66.200)
Epoch: [63][5490/7045]	Time 0.234 (0.251)	Data 0.184 (0.186)	Loss 2.6958 (2.6556)	Prec@1 37.500 (36.438)	Prec@5 66.406 (66.201)
Epoch: [63][5500/7045]	Time 0.453 (0.251)	Data 0.403 (0.186)	Loss 2.7292 (2.6556)	Prec@1 32.422 (36.438)	Prec@5 67.188 (66.201)
Epoch: [63][5510/7045]	Time 0.112 (0.251)	Data 0.001 (0.186)	Loss 2.8083 (2.6557)	Prec@1 32.422 (36.434)	Prec@5 63.281 (66.199)
Epoch: [63][5520/7045]	Time 0.581 (0.251)	Data 0.530 (0.186)	Loss 2.5989 (2.6557)	Prec@1 36.328 (36.432)	Prec@5 66.797 (66.199)
Epoch: [63][5530/7045]	Time 0.355 (0.251)	Data 0.303 (0.186)	Loss 2.8276 (2.6557)	Prec@1 33.594 (36.431)	Prec@5 61.719 (66.200)
Epoch: [63][5540/7045]	Time 0.101 (0.251)	Data 0.002 (0.186)	Loss 2.5058 (2.6557)	Prec@1 39.062 (36.432)	Prec@5 67.969 (66.199)
Epoch: [63][5550/7045]	Time 0.161 (0.251)	Data 0.102 (0.186)	Loss 2.7266 (2.6557)	Prec@1 35.547 (36.432)	Prec@5 64.062 (66.198)
Epoch: [63][5560/7045]	Time 0.101 (0.251)	Data 0.001 (0.186)	Loss 2.5436 (2.6556)	Prec@1 37.891 (36.434)	Prec@5 64.844 (66.201)
Epoch: [63][5570/7045]	Time 0.371 (0.251)	Data 0.320 (0.186)	Loss 2.8685 (2.6556)	Prec@1 30.469 (36.434)	Prec@5 64.062 (66.199)
Epoch: [63][5580/7045]	Time 0.257 (0.251)	Data 0.198 (0.186)	Loss 2.6118 (2.6556)	Prec@1 37.500 (36.433)	Prec@5 67.969 (66.199)
Epoch: [63][5590/7045]	Time 0.621 (0.251)	Data 0.571 (0.186)	Loss 2.6621 (2.6556)	Prec@1 39.062 (36.434)	Prec@5 62.500 (66.200)
Epoch: [63][5600/7045]	Time 0.166 (0.251)	Data 0.114 (0.186)	Loss 2.5465 (2.6556)	Prec@1 37.109 (36.434)	Prec@5 69.922 (66.199)
Epoch: [63][5610/7045]	Time 0.493 (0.251)	Data 0.441 (0.186)	Loss 2.6412 (2.6556)	Prec@1 33.203 (36.432)	Prec@5 69.531 (66.200)
Epoch: [63][5620/7045]	Time 0.101 (0.251)	Data 0.001 (0.186)	Loss 2.5099 (2.6556)	Prec@1 35.938 (36.432)	Prec@5 70.312 (66.198)
Epoch: [63][5630/7045]	Time 0.570 (0.251)	Data 0.518 (0.186)	Loss 2.6722 (2.6555)	Prec@1 34.375 (36.435)	Prec@5 66.406 (66.199)
Epoch: [63][5640/7045]	Time 0.102 (0.251)	Data 0.021 (0.186)	Loss 2.5228 (2.6554)	Prec@1 40.234 (36.438)	Prec@5 67.969 (66.201)
Epoch: [63][5650/7045]	Time 0.514 (0.251)	Data 0.458 (0.186)	Loss 2.8874 (2.6556)	Prec@1 34.375 (36.435)	Prec@5 60.547 (66.198)
Epoch: [63][5660/7045]	Time 0.283 (0.251)	Data 0.233 (0.186)	Loss 2.5954 (2.6556)	Prec@1 36.328 (36.435)	Prec@5 68.359 (66.199)
Epoch: [63][5670/7045]	Time 0.168 (0.251)	Data 0.116 (0.186)	Loss 2.7449 (2.6556)	Prec@1 35.938 (36.436)	Prec@5 64.844 (66.199)
Epoch: [63][5680/7045]	Time 0.519 (0.251)	Data 0.469 (0.186)	Loss 2.7437 (2.6557)	Prec@1 37.500 (36.435)	Prec@5 65.625 (66.198)
Epoch: [63][5690/7045]	Time 0.300 (0.251)	Data 0.249 (0.186)	Loss 2.7201 (2.6558)	Prec@1 32.812 (36.431)	Prec@5 69.141 (66.196)
Epoch: [63][5700/7045]	Time 0.478 (0.251)	Data 0.427 (0.186)	Loss 2.7756 (2.6559)	Prec@1 36.719 (36.430)	Prec@5 62.891 (66.194)
Epoch: [63][5710/7045]	Time 0.223 (0.251)	Data 0.171 (0.186)	Loss 2.4694 (2.6557)	Prec@1 34.766 (36.433)	Prec@5 72.656 (66.197)
Epoch: [63][5720/7045]	Time 0.441 (0.251)	Data 0.384 (0.187)	Loss 2.6265 (2.6557)	Prec@1 34.375 (36.432)	Prec@5 65.234 (66.197)
Epoch: [63][5730/7045]	Time 0.102 (0.251)	Data 0.008 (0.186)	Loss 2.4128 (2.6558)	Prec@1 36.719 (36.432)	Prec@5 67.969 (66.195)
Epoch: [63][5740/7045]	Time 0.239 (0.251)	Data 0.186 (0.187)	Loss 2.4781 (2.6558)	Prec@1 37.500 (36.430)	Prec@5 67.578 (66.195)
Epoch: [63][5750/7045]	Time 0.281 (0.251)	Data 0.229 (0.187)	Loss 2.5566 (2.6559)	Prec@1 37.891 (36.427)	Prec@5 66.406 (66.194)
Epoch: [63][5760/7045]	Time 0.101 (0.251)	Data 0.001 (0.187)	Loss 2.5403 (2.6558)	Prec@1 36.328 (36.424)	Prec@5 64.844 (66.195)
Epoch: [63][5770/7045]	Time 0.519 (0.251)	Data 0.467 (0.187)	Loss 2.6706 (2.6559)	Prec@1 41.797 (36.423)	Prec@5 66.797 (66.194)
Epoch: [63][5780/7045]	Time 0.189 (0.251)	Data 0.139 (0.187)	Loss 2.7486 (2.6559)	Prec@1 34.766 (36.422)	Prec@5 63.672 (66.193)
Epoch: [63][5790/7045]	Time 0.107 (0.251)	Data 0.056 (0.187)	Loss 2.6259 (2.6559)	Prec@1 38.281 (36.422)	Prec@5 65.234 (66.192)
Epoch: [63][5800/7045]	Time 0.110 (0.251)	Data 0.014 (0.187)	Loss 2.6372 (2.6558)	Prec@1 34.375 (36.423)	Prec@5 63.281 (66.194)
Epoch: [63][5810/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.6459 (2.6558)	Prec@1 34.375 (36.422)	Prec@5 64.453 (66.195)
Epoch: [63][5820/7045]	Time 0.168 (0.251)	Data 0.117 (0.187)	Loss 2.5190 (2.6558)	Prec@1 39.062 (36.422)	Prec@5 70.312 (66.195)
Epoch: [63][5830/7045]	Time 0.232 (0.251)	Data 0.182 (0.187)	Loss 2.8099 (2.6559)	Prec@1 33.594 (36.421)	Prec@5 68.359 (66.193)
Epoch: [63][5840/7045]	Time 0.101 (0.251)	Data 0.010 (0.187)	Loss 2.5335 (2.6558)	Prec@1 35.547 (36.422)	Prec@5 65.625 (66.193)
Epoch: [63][5850/7045]	Time 0.121 (0.251)	Data 0.070 (0.187)	Loss 2.5874 (2.6558)	Prec@1 37.109 (36.420)	Prec@5 67.188 (66.191)
Epoch: [63][5860/7045]	Time 0.346 (0.251)	Data 0.295 (0.187)	Loss 2.7951 (2.6559)	Prec@1 32.031 (36.419)	Prec@5 62.109 (66.190)
Epoch: [63][5870/7045]	Time 0.250 (0.251)	Data 0.199 (0.187)	Loss 2.7881 (2.6560)	Prec@1 33.984 (36.420)	Prec@5 67.188 (66.191)
Epoch: [63][5880/7045]	Time 0.160 (0.251)	Data 0.109 (0.187)	Loss 2.5755 (2.6560)	Prec@1 41.406 (36.419)	Prec@5 67.969 (66.190)
Epoch: [63][5890/7045]	Time 0.124 (0.251)	Data 0.073 (0.187)	Loss 2.6004 (2.6560)	Prec@1 37.500 (36.420)	Prec@5 65.625 (66.189)
Epoch: [63][5900/7045]	Time 0.101 (0.251)	Data 0.002 (0.187)	Loss 2.5456 (2.6560)	Prec@1 36.328 (36.417)	Prec@5 68.750 (66.189)
Epoch: [63][5910/7045]	Time 0.113 (0.251)	Data 0.055 (0.187)	Loss 2.7645 (2.6560)	Prec@1 34.766 (36.414)	Prec@5 64.844 (66.188)
Epoch: [63][5920/7045]	Time 0.104 (0.251)	Data 0.001 (0.187)	Loss 2.8446 (2.6561)	Prec@1 34.766 (36.412)	Prec@5 64.062 (66.186)
Epoch: [63][5930/7045]	Time 0.102 (0.251)	Data 0.006 (0.187)	Loss 2.5173 (2.6561)	Prec@1 37.891 (36.413)	Prec@5 69.141 (66.189)
Epoch: [63][5940/7045]	Time 0.356 (0.251)	Data 0.305 (0.187)	Loss 2.7296 (2.6561)	Prec@1 33.984 (36.414)	Prec@5 64.062 (66.188)
Epoch: [63][5950/7045]	Time 0.102 (0.251)	Data 0.008 (0.187)	Loss 2.9606 (2.6561)	Prec@1 27.734 (36.414)	Prec@5 59.375 (66.187)
Epoch: [63][5960/7045]	Time 0.427 (0.251)	Data 0.367 (0.187)	Loss 2.7074 (2.6561)	Prec@1 33.203 (36.414)	Prec@5 63.281 (66.186)
Epoch: [63][5970/7045]	Time 0.544 (0.251)	Data 0.493 (0.187)	Loss 2.5771 (2.6560)	Prec@1 37.109 (36.415)	Prec@5 66.406 (66.188)
Epoch: [63][5980/7045]	Time 0.102 (0.251)	Data 0.008 (0.187)	Loss 2.7317 (2.6561)	Prec@1 35.938 (36.415)	Prec@5 67.969 (66.188)
Epoch: [63][5990/7045]	Time 0.665 (0.251)	Data 0.614 (0.187)	Loss 2.6181 (2.6561)	Prec@1 37.109 (36.414)	Prec@5 67.188 (66.186)
Epoch: [63][6000/7045]	Time 0.375 (0.251)	Data 0.325 (0.187)	Loss 2.6706 (2.6560)	Prec@1 37.109 (36.418)	Prec@5 69.141 (66.189)
Epoch: [63][6010/7045]	Time 0.157 (0.251)	Data 0.106 (0.187)	Loss 2.7230 (2.6560)	Prec@1 34.375 (36.418)	Prec@5 65.625 (66.189)
Epoch: [63][6020/7045]	Time 0.506 (0.251)	Data 0.448 (0.187)	Loss 2.7252 (2.6560)	Prec@1 34.766 (36.417)	Prec@5 65.234 (66.189)
Epoch: [63][6030/7045]	Time 0.101 (0.251)	Data 0.050 (0.187)	Loss 2.4152 (2.6560)	Prec@1 39.062 (36.418)	Prec@5 67.969 (66.188)
Epoch: [63][6040/7045]	Time 0.616 (0.251)	Data 0.564 (0.187)	Loss 2.8236 (2.6560)	Prec@1 37.109 (36.420)	Prec@5 63.672 (66.187)
Epoch: [63][6050/7045]	Time 0.170 (0.251)	Data 0.118 (0.187)	Loss 2.6416 (2.6560)	Prec@1 37.891 (36.421)	Prec@5 67.188 (66.187)
Epoch: [63][6060/7045]	Time 0.412 (0.251)	Data 0.360 (0.187)	Loss 2.8409 (2.6560)	Prec@1 32.812 (36.420)	Prec@5 65.234 (66.189)
Epoch: [63][6070/7045]	Time 0.241 (0.251)	Data 0.190 (0.187)	Loss 2.7501 (2.6560)	Prec@1 34.375 (36.420)	Prec@5 63.672 (66.190)
Epoch: [63][6080/7045]	Time 0.440 (0.251)	Data 0.390 (0.187)	Loss 2.7522 (2.6560)	Prec@1 34.766 (36.420)	Prec@5 62.500 (66.190)
Epoch: [63][6090/7045]	Time 0.103 (0.251)	Data 0.001 (0.187)	Loss 2.6090 (2.6559)	Prec@1 38.672 (36.423)	Prec@5 67.578 (66.191)
Epoch: [63][6100/7045]	Time 0.547 (0.251)	Data 0.491 (0.187)	Loss 2.4961 (2.6557)	Prec@1 39.453 (36.425)	Prec@5 71.875 (66.196)
Epoch: [63][6110/7045]	Time 0.273 (0.251)	Data 0.221 (0.187)	Loss 2.5969 (2.6558)	Prec@1 37.891 (36.423)	Prec@5 67.578 (66.194)
Epoch: [63][6120/7045]	Time 0.285 (0.251)	Data 0.235 (0.187)	Loss 2.7561 (2.6558)	Prec@1 37.891 (36.425)	Prec@5 66.797 (66.195)
Epoch: [63][6130/7045]	Time 0.321 (0.251)	Data 0.270 (0.187)	Loss 2.7852 (2.6558)	Prec@1 33.984 (36.427)	Prec@5 62.500 (66.194)
Epoch: [63][6140/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.6440 (2.6558)	Prec@1 33.594 (36.426)	Prec@5 66.797 (66.194)
Epoch: [63][6150/7045]	Time 0.403 (0.251)	Data 0.353 (0.187)	Loss 2.6585 (2.6557)	Prec@1 33.984 (36.426)	Prec@5 65.234 (66.194)
Epoch: [63][6160/7045]	Time 0.100 (0.251)	Data 0.001 (0.187)	Loss 2.6308 (2.6557)	Prec@1 37.109 (36.426)	Prec@5 65.625 (66.193)
Epoch: [63][6170/7045]	Time 0.146 (0.251)	Data 0.095 (0.187)	Loss 2.5529 (2.6558)	Prec@1 38.281 (36.424)	Prec@5 68.359 (66.194)
Epoch: [63][6180/7045]	Time 0.471 (0.251)	Data 0.420 (0.187)	Loss 2.6269 (2.6558)	Prec@1 36.719 (36.425)	Prec@5 65.625 (66.193)
Epoch: [63][6190/7045]	Time 0.102 (0.251)	Data 0.046 (0.187)	Loss 2.6889 (2.6558)	Prec@1 36.719 (36.425)	Prec@5 64.062 (66.192)
Epoch: [63][6200/7045]	Time 0.104 (0.252)	Data 0.052 (0.187)	Loss 2.8532 (2.6557)	Prec@1 30.859 (36.424)	Prec@5 67.188 (66.193)
Epoch: [63][6210/7045]	Time 0.099 (0.252)	Data 0.047 (0.187)	Loss 2.5627 (2.6557)	Prec@1 37.109 (36.424)	Prec@5 65.625 (66.194)
Epoch: [63][6220/7045]	Time 0.320 (0.252)	Data 0.269 (0.187)	Loss 2.6383 (2.6557)	Prec@1 35.938 (36.423)	Prec@5 65.625 (66.195)
Epoch: [63][6230/7045]	Time 0.103 (0.252)	Data 0.001 (0.187)	Loss 2.6649 (2.6557)	Prec@1 35.156 (36.422)	Prec@5 67.969 (66.195)
Epoch: [63][6240/7045]	Time 0.347 (0.252)	Data 0.296 (0.187)	Loss 2.6632 (2.6557)	Prec@1 35.547 (36.423)	Prec@5 66.406 (66.194)
Epoch: [63][6250/7045]	Time 0.167 (0.252)	Data 0.116 (0.187)	Loss 2.6947 (2.6557)	Prec@1 33.984 (36.422)	Prec@5 64.844 (66.193)
Epoch: [63][6260/7045]	Time 0.291 (0.252)	Data 0.240 (0.187)	Loss 2.5959 (2.6556)	Prec@1 36.719 (36.424)	Prec@5 64.453 (66.193)
Epoch: [63][6270/7045]	Time 0.147 (0.252)	Data 0.095 (0.187)	Loss 2.8324 (2.6556)	Prec@1 36.328 (36.424)	Prec@5 61.719 (66.193)
Epoch: [63][6280/7045]	Time 0.576 (0.252)	Data 0.519 (0.187)	Loss 2.5107 (2.6558)	Prec@1 31.641 (36.420)	Prec@5 69.531 (66.190)
Epoch: [63][6290/7045]	Time 0.110 (0.252)	Data 0.058 (0.187)	Loss 2.5600 (2.6558)	Prec@1 34.766 (36.420)	Prec@5 70.703 (66.189)
Epoch: [63][6300/7045]	Time 0.102 (0.252)	Data 0.006 (0.187)	Loss 2.7150 (2.6558)	Prec@1 38.672 (36.422)	Prec@5 62.109 (66.188)
Epoch: [63][6310/7045]	Time 0.103 (0.252)	Data 0.001 (0.187)	Loss 2.6629 (2.6558)	Prec@1 36.328 (36.421)	Prec@5 63.281 (66.188)
Epoch: [63][6320/7045]	Time 0.109 (0.252)	Data 0.005 (0.187)	Loss 2.6994 (2.6558)	Prec@1 33.984 (36.421)	Prec@5 65.625 (66.187)
Epoch: [63][6330/7045]	Time 0.393 (0.252)	Data 0.342 (0.187)	Loss 2.5058 (2.6557)	Prec@1 37.891 (36.422)	Prec@5 70.312 (66.188)
Epoch: [63][6340/7045]	Time 0.100 (0.252)	Data 0.049 (0.187)	Loss 2.6300 (2.6556)	Prec@1 35.938 (36.425)	Prec@5 65.625 (66.191)
Epoch: [63][6350/7045]	Time 0.643 (0.252)	Data 0.591 (0.187)	Loss 2.6784 (2.6555)	Prec@1 38.281 (36.429)	Prec@5 63.281 (66.193)
Epoch: [63][6360/7045]	Time 0.122 (0.252)	Data 0.063 (0.187)	Loss 2.7490 (2.6555)	Prec@1 30.859 (36.430)	Prec@5 62.891 (66.193)
Epoch: [63][6370/7045]	Time 0.333 (0.252)	Data 0.282 (0.187)	Loss 2.6803 (2.6555)	Prec@1 32.812 (36.427)	Prec@5 63.281 (66.190)
Epoch: [63][6380/7045]	Time 0.577 (0.252)	Data 0.526 (0.187)	Loss 2.6139 (2.6556)	Prec@1 37.109 (36.426)	Prec@5 65.625 (66.189)
Epoch: [63][6390/7045]	Time 0.102 (0.252)	Data 0.001 (0.187)	Loss 2.6303 (2.6556)	Prec@1 37.500 (36.427)	Prec@5 66.016 (66.189)
Epoch: [63][6400/7045]	Time 0.287 (0.252)	Data 0.235 (0.187)	Loss 2.7947 (2.6556)	Prec@1 38.672 (36.427)	Prec@5 64.844 (66.188)
Epoch: [63][6410/7045]	Time 0.546 (0.252)	Data 0.487 (0.187)	Loss 2.6418 (2.6556)	Prec@1 36.719 (36.427)	Prec@5 65.625 (66.187)
Epoch: [63][6420/7045]	Time 0.103 (0.252)	Data 0.046 (0.188)	Loss 2.5991 (2.6556)	Prec@1 40.234 (36.428)	Prec@5 66.016 (66.187)
Epoch: [63][6430/7045]	Time 0.336 (0.252)	Data 0.284 (0.188)	Loss 2.5316 (2.6557)	Prec@1 39.062 (36.427)	Prec@5 67.969 (66.186)
Epoch: [63][6440/7045]	Time 0.116 (0.252)	Data 0.065 (0.188)	Loss 2.7774 (2.6557)	Prec@1 39.453 (36.426)	Prec@5 61.719 (66.185)
Epoch: [63][6450/7045]	Time 0.282 (0.252)	Data 0.230 (0.188)	Loss 2.6402 (2.6557)	Prec@1 36.328 (36.423)	Prec@5 68.359 (66.185)
Epoch: [63][6460/7045]	Time 0.267 (0.252)	Data 0.215 (0.188)	Loss 2.8395 (2.6558)	Prec@1 35.938 (36.421)	Prec@5 61.719 (66.183)
Epoch: [63][6470/7045]	Time 0.102 (0.253)	Data 0.001 (0.188)	Loss 2.6611 (2.6559)	Prec@1 36.719 (36.421)	Prec@5 65.234 (66.183)
Epoch: [63][6480/7045]	Time 0.412 (0.253)	Data 0.361 (0.188)	Loss 2.7567 (2.6560)	Prec@1 37.109 (36.418)	Prec@5 63.281 (66.180)
Epoch: [63][6490/7045]	Time 0.110 (0.253)	Data 0.001 (0.188)	Loss 2.4889 (2.6560)	Prec@1 39.453 (36.416)	Prec@5 70.312 (66.180)
Epoch: [63][6500/7045]	Time 0.343 (0.253)	Data 0.292 (0.188)	Loss 2.5182 (2.6559)	Prec@1 33.984 (36.416)	Prec@5 69.531 (66.182)
Epoch: [63][6510/7045]	Time 0.101 (0.253)	Data 0.001 (0.188)	Loss 2.7287 (2.6560)	Prec@1 36.719 (36.416)	Prec@5 66.016 (66.182)
Epoch: [63][6520/7045]	Time 0.102 (0.253)	Data 0.051 (0.188)	Loss 2.5889 (2.6560)	Prec@1 35.938 (36.415)	Prec@5 68.359 (66.183)
Epoch: [63][6530/7045]	Time 0.109 (0.253)	Data 0.002 (0.188)	Loss 2.8518 (2.6560)	Prec@1 30.469 (36.413)	Prec@5 65.625 (66.183)
Epoch: [63][6540/7045]	Time 0.257 (0.253)	Data 0.206 (0.188)	Loss 2.8536 (2.6560)	Prec@1 32.031 (36.415)	Prec@5 58.984 (66.183)
Epoch: [63][6550/7045]	Time 0.110 (0.253)	Data 0.001 (0.188)	Loss 2.5490 (2.6559)	Prec@1 41.797 (36.417)	Prec@5 63.672 (66.184)
Epoch: [63][6560/7045]	Time 0.102 (0.253)	Data 0.008 (0.188)	Loss 2.6023 (2.6558)	Prec@1 33.594 (36.416)	Prec@5 67.578 (66.184)
Epoch: [63][6570/7045]	Time 0.103 (0.253)	Data 0.004 (0.188)	Loss 2.5125 (2.6557)	Prec@1 41.016 (36.417)	Prec@5 66.797 (66.186)
Epoch: [63][6580/7045]	Time 0.130 (0.253)	Data 0.079 (0.188)	Loss 2.6414 (2.6557)	Prec@1 37.500 (36.418)	Prec@5 67.578 (66.186)
Epoch: [63][6590/7045]	Time 0.376 (0.253)	Data 0.324 (0.188)	Loss 2.4866 (2.6557)	Prec@1 35.938 (36.418)	Prec@5 70.312 (66.188)
Epoch: [63][6600/7045]	Time 0.213 (0.253)	Data 0.162 (0.188)	Loss 2.6525 (2.6556)	Prec@1 37.500 (36.417)	Prec@5 69.531 (66.190)
Epoch: [63][6610/7045]	Time 0.480 (0.253)	Data 0.429 (0.188)	Loss 2.6565 (2.6557)	Prec@1 38.281 (36.417)	Prec@5 65.625 (66.190)
Epoch: [63][6620/7045]	Time 0.113 (0.253)	Data 0.062 (0.188)	Loss 2.7577 (2.6558)	Prec@1 34.375 (36.417)	Prec@5 64.062 (66.188)
Epoch: [63][6630/7045]	Time 0.301 (0.253)	Data 0.250 (0.188)	Loss 2.6737 (2.6558)	Prec@1 34.766 (36.419)	Prec@5 65.625 (66.188)
Epoch: [63][6640/7045]	Time 0.101 (0.253)	Data 0.006 (0.188)	Loss 2.7522 (2.6558)	Prec@1 34.375 (36.418)	Prec@5 62.891 (66.187)
Epoch: [63][6650/7045]	Time 0.477 (0.253)	Data 0.426 (0.188)	Loss 2.8450 (2.6558)	Prec@1 28.516 (36.418)	Prec@5 62.109 (66.186)
Epoch: [63][6660/7045]	Time 0.102 (0.253)	Data 0.001 (0.188)	Loss 2.6258 (2.6558)	Prec@1 31.250 (36.417)	Prec@5 68.750 (66.186)
Epoch: [63][6670/7045]	Time 0.422 (0.253)	Data 0.371 (0.188)	Loss 2.6001 (2.6558)	Prec@1 37.891 (36.418)	Prec@5 64.062 (66.187)
Epoch: [63][6680/7045]	Time 0.111 (0.253)	Data 0.059 (0.188)	Loss 2.7378 (2.6557)	Prec@1 39.453 (36.420)	Prec@5 66.797 (66.188)
Epoch: [63][6690/7045]	Time 0.162 (0.253)	Data 0.111 (0.188)	Loss 2.6439 (2.6557)	Prec@1 39.844 (36.422)	Prec@5 65.234 (66.187)
Epoch: [63][6700/7045]	Time 0.120 (0.253)	Data 0.068 (0.188)	Loss 2.7221 (2.6557)	Prec@1 32.422 (36.422)	Prec@5 68.359 (66.188)
Epoch: [63][6710/7045]	Time 0.102 (0.253)	Data 0.007 (0.188)	Loss 2.6282 (2.6557)	Prec@1 35.547 (36.419)	Prec@5 69.531 (66.187)
Epoch: [63][6720/7045]	Time 0.167 (0.253)	Data 0.116 (0.189)	Loss 2.7820 (2.6557)	Prec@1 35.547 (36.420)	Prec@5 65.234 (66.188)
Epoch: [63][6730/7045]	Time 0.334 (0.253)	Data 0.283 (0.189)	Loss 2.8199 (2.6558)	Prec@1 32.422 (36.418)	Prec@5 60.547 (66.185)
Epoch: [63][6740/7045]	Time 0.101 (0.253)	Data 0.021 (0.189)	Loss 2.7996 (2.6558)	Prec@1 33.203 (36.414)	Prec@5 65.234 (66.186)
Epoch: [63][6750/7045]	Time 0.266 (0.253)	Data 0.214 (0.189)	Loss 2.4059 (2.6557)	Prec@1 40.234 (36.413)	Prec@5 69.922 (66.186)
Epoch: [63][6760/7045]	Time 0.110 (0.253)	Data 0.058 (0.189)	Loss 2.6646 (2.6557)	Prec@1 35.547 (36.413)	Prec@5 66.797 (66.187)
Epoch: [63][6770/7045]	Time 0.237 (0.253)	Data 0.186 (0.189)	Loss 2.5520 (2.6557)	Prec@1 36.719 (36.413)	Prec@5 70.312 (66.187)
Epoch: [63][6780/7045]	Time 0.224 (0.253)	Data 0.173 (0.189)	Loss 2.7075 (2.6557)	Prec@1 34.375 (36.413)	Prec@5 65.234 (66.186)
Epoch: [63][6790/7045]	Time 0.151 (0.253)	Data 0.100 (0.189)	Loss 2.5442 (2.6558)	Prec@1 34.766 (36.411)	Prec@5 69.531 (66.185)
Epoch: [63][6800/7045]	Time 0.397 (0.253)	Data 0.345 (0.189)	Loss 2.6206 (2.6559)	Prec@1 34.766 (36.410)	Prec@5 62.500 (66.183)
Epoch: [63][6810/7045]	Time 0.102 (0.253)	Data 0.001 (0.189)	Loss 2.6203 (2.6559)	Prec@1 35.547 (36.411)	Prec@5 67.969 (66.184)
Epoch: [63][6820/7045]	Time 0.466 (0.253)	Data 0.416 (0.189)	Loss 2.4135 (2.6558)	Prec@1 38.281 (36.414)	Prec@5 73.047 (66.186)
Epoch: [63][6830/7045]	Time 0.130 (0.253)	Data 0.070 (0.189)	Loss 2.5506 (2.6557)	Prec@1 38.672 (36.416)	Prec@5 67.188 (66.189)
Epoch: [63][6840/7045]	Time 0.570 (0.253)	Data 0.519 (0.189)	Loss 2.5936 (2.6557)	Prec@1 35.938 (36.418)	Prec@5 65.234 (66.189)
Epoch: [63][6850/7045]	Time 0.109 (0.253)	Data 0.058 (0.189)	Loss 2.6767 (2.6557)	Prec@1 36.328 (36.420)	Prec@5 67.578 (66.191)
Epoch: [63][6860/7045]	Time 0.392 (0.253)	Data 0.342 (0.189)	Loss 2.6399 (2.6557)	Prec@1 34.375 (36.419)	Prec@5 63.672 (66.191)
Epoch: [63][6870/7045]	Time 0.393 (0.253)	Data 0.342 (0.189)	Loss 2.7027 (2.6557)	Prec@1 35.938 (36.418)	Prec@5 61.719 (66.190)
Epoch: [63][6880/7045]	Time 0.360 (0.253)	Data 0.310 (0.189)	Loss 2.7414 (2.6557)	Prec@1 33.984 (36.419)	Prec@5 65.234 (66.190)
Epoch: [63][6890/7045]	Time 0.283 (0.253)	Data 0.232 (0.189)	Loss 2.6169 (2.6557)	Prec@1 36.719 (36.419)	Prec@5 67.188 (66.189)
Epoch: [63][6900/7045]	Time 0.131 (0.253)	Data 0.079 (0.189)	Loss 2.7129 (2.6556)	Prec@1 33.203 (36.421)	Prec@5 67.969 (66.190)
Epoch: [63][6910/7045]	Time 0.220 (0.253)	Data 0.163 (0.189)	Loss 2.7735 (2.6557)	Prec@1 33.203 (36.420)	Prec@5 66.016 (66.189)
Epoch: [63][6920/7045]	Time 0.105 (0.253)	Data 0.052 (0.189)	Loss 2.7614 (2.6557)	Prec@1 34.766 (36.420)	Prec@5 61.328 (66.189)
Epoch: [63][6930/7045]	Time 0.112 (0.253)	Data 0.009 (0.189)	Loss 2.7873 (2.6558)	Prec@1 36.719 (36.419)	Prec@5 62.500 (66.188)
Epoch: [63][6940/7045]	Time 0.223 (0.253)	Data 0.171 (0.189)	Loss 2.5886 (2.6558)	Prec@1 39.844 (36.420)	Prec@5 68.359 (66.189)
Epoch: [63][6950/7045]	Time 0.311 (0.253)	Data 0.260 (0.189)	Loss 2.8917 (2.6557)	Prec@1 32.812 (36.424)	Prec@5 62.109 (66.189)
Epoch: [63][6960/7045]	Time 0.353 (0.254)	Data 0.294 (0.189)	Loss 2.6020 (2.6557)	Prec@1 37.109 (36.423)	Prec@5 66.797 (66.190)
Epoch: [63][6970/7045]	Time 0.565 (0.254)	Data 0.505 (0.189)	Loss 2.6803 (2.6557)	Prec@1 33.594 (36.422)	Prec@5 64.844 (66.190)
Epoch: [63][6980/7045]	Time 0.101 (0.253)	Data 0.007 (0.189)	Loss 2.4354 (2.6557)	Prec@1 39.062 (36.424)	Prec@5 71.484 (66.190)
Epoch: [63][6990/7045]	Time 0.280 (0.254)	Data 0.221 (0.189)	Loss 2.8743 (2.6557)	Prec@1 32.031 (36.425)	Prec@5 65.234 (66.190)
Epoch: [63][7000/7045]	Time 0.171 (0.253)	Data 0.120 (0.189)	Loss 2.6667 (2.6556)	Prec@1 35.547 (36.426)	Prec@5 64.844 (66.192)
Epoch: [63][7010/7045]	Time 0.414 (0.254)	Data 0.364 (0.189)	Loss 2.7987 (2.6556)	Prec@1 32.031 (36.425)	Prec@5 60.938 (66.191)
Epoch: [63][7020/7045]	Time 0.109 (0.254)	Data 0.001 (0.189)	Loss 2.9396 (2.6556)	Prec@1 30.859 (36.425)	Prec@5 60.156 (66.191)
Epoch: [63][7030/7045]	Time 0.580 (0.254)	Data 0.529 (0.189)	Loss 2.7311 (2.6556)	Prec@1 37.891 (36.425)	Prec@5 65.234 (66.190)
Epoch: [63][7040/7045]	Time 0.190 (0.254)	Data 0.139 (0.189)	Loss 2.6185 (2.6556)	Prec@1 37.109 (36.427)	Prec@5 66.797 (66.192)
Test: [0/143]	Time 1.218 (1.218)	Loss 2.2859 (2.2859)	Prec@1 44.922 (44.922)	Prec@5 75.391 (75.391)
Test: [10/143]	Time 0.146 (0.241)	Loss 1.8228 (2.0870)	Prec@1 55.859 (48.189)	Prec@5 82.422 (77.947)
Test: [20/143]	Time 0.321 (0.221)	Loss 2.2164 (2.0733)	Prec@1 45.703 (47.080)	Prec@5 76.172 (78.404)
Test: [30/143]	Time 0.447 (0.211)	Loss 2.1904 (2.0847)	Prec@1 46.094 (47.316)	Prec@5 71.094 (77.634)
Test: [40/143]	Time 0.048 (0.202)	Loss 2.7174 (2.1191)	Prec@1 25.391 (46.208)	Prec@5 67.188 (76.925)
Test: [50/143]	Time 0.339 (0.197)	Loss 1.8926 (2.1673)	Prec@1 44.141 (44.531)	Prec@5 83.594 (76.302)
Test: [60/143]	Time 0.339 (0.194)	Loss 2.4088 (2.1587)	Prec@1 36.328 (44.730)	Prec@5 72.656 (76.434)
Test: [70/143]	Time 0.063 (0.190)	Loss 3.0836 (2.1535)	Prec@1 22.656 (44.878)	Prec@5 57.812 (76.585)
Test: [80/143]	Time 0.254 (0.188)	Loss 2.0943 (2.1488)	Prec@1 45.312 (45.028)	Prec@5 79.297 (76.770)
Test: [90/143]	Time 0.192 (0.187)	Loss 1.8612 (2.1422)	Prec@1 55.469 (45.270)	Prec@5 84.375 (76.914)
Test: [100/143]	Time 0.048 (0.187)	Loss 1.9800 (2.1404)	Prec@1 50.391 (45.258)	Prec@5 83.984 (77.023)
Test: [110/143]	Time 0.318 (0.187)	Loss 1.9335 (2.1339)	Prec@1 51.562 (45.576)	Prec@5 79.688 (77.164)
Test: [120/143]	Time 0.173 (0.185)	Loss 1.8799 (2.1239)	Prec@1 52.734 (45.926)	Prec@5 83.594 (77.337)
Test: [130/143]	Time 0.332 (0.185)	Loss 1.6227 (2.1342)	Prec@1 65.234 (45.840)	Prec@5 80.078 (77.049)
Test: [140/143]	Time 0.194 (0.183)	Loss 3.0812 (2.1568)	Prec@1 21.484 (45.290)	Prec@5 59.766 (76.629)
 * Prec@1 45.318 Prec@5 76.644
Epoch: [64][0/7045]	Time 2.344 (2.344)	Data 2.282 (2.282)	Loss 2.5651 (2.5651)	Prec@1 34.766 (34.766)	Prec@5 70.312 (70.312)
Epoch: [64][10/7045]	Time 0.101 (0.424)	Data 0.007 (0.349)	Loss 2.5262 (2.6363)	Prec@1 41.016 (36.967)	Prec@5 67.188 (67.259)
Epoch: [64][20/7045]	Time 0.363 (0.357)	Data 0.313 (0.289)	Loss 2.6393 (2.6389)	Prec@1 37.500 (37.165)	Prec@5 65.234 (66.815)
Epoch: [64][30/7045]	Time 0.114 (0.325)	Data 0.063 (0.262)	Loss 2.8948 (2.6414)	Prec@1 34.766 (36.820)	Prec@5 61.719 (66.444)
Epoch: [64][40/7045]	Time 0.273 (0.314)	Data 0.222 (0.252)	Loss 2.5241 (2.6477)	Prec@1 39.453 (36.557)	Prec@5 69.531 (66.540)
Epoch: [64][50/7045]	Time 0.304 (0.306)	Data 0.252 (0.244)	Loss 2.9079 (2.6544)	Prec@1 32.422 (36.359)	Prec@5 60.156 (66.337)
Epoch: [64][60/7045]	Time 0.100 (0.298)	Data 0.046 (0.236)	Loss 2.5825 (2.6532)	Prec@1 41.016 (36.322)	Prec@5 68.359 (66.400)
Epoch: [64][70/7045]	Time 0.101 (0.297)	Data 0.001 (0.233)	Loss 2.6410 (2.6586)	Prec@1 37.500 (36.152)	Prec@5 66.016 (66.274)
Epoch: [64][80/7045]	Time 0.102 (0.293)	Data 0.008 (0.231)	Loss 2.6119 (2.6567)	Prec@1 35.938 (36.159)	Prec@5 66.406 (66.329)
Epoch: [64][90/7045]	Time 0.109 (0.290)	Data 0.056 (0.228)	Loss 2.6990 (2.6607)	Prec@1 34.766 (36.122)	Prec@5 63.672 (66.303)
Epoch: [64][100/7045]	Time 0.101 (0.290)	Data 0.001 (0.227)	Loss 2.7117 (2.6552)	Prec@1 39.062 (36.301)	Prec@5 66.797 (66.379)
Epoch: [64][110/7045]	Time 0.099 (0.288)	Data 0.043 (0.225)	Loss 2.4338 (2.6501)	Prec@1 39.453 (36.353)	Prec@5 70.703 (66.498)
Epoch: [64][120/7045]	Time 0.380 (0.301)	Data 0.330 (0.238)	Loss 2.6227 (2.6475)	Prec@1 41.406 (36.622)	Prec@5 67.969 (66.593)
Epoch: [64][130/7045]	Time 0.101 (0.300)	Data 0.001 (0.237)	Loss 2.5215 (2.6464)	Prec@1 37.500 (36.686)	Prec@5 67.188 (66.609)
Epoch: [64][140/7045]	Time 0.108 (0.296)	Data 0.056 (0.232)	Loss 2.5089 (2.6444)	Prec@1 44.141 (36.752)	Prec@5 70.703 (66.592)
Epoch: [64][150/7045]	Time 0.111 (0.296)	Data 0.060 (0.233)	Loss 2.9212 (2.6435)	Prec@1 31.641 (36.690)	Prec@5 64.453 (66.678)
Epoch: [64][160/7045]	Time 0.215 (0.293)	Data 0.163 (0.230)	Loss 2.8159 (2.6448)	Prec@1 34.766 (36.731)	Prec@5 64.062 (66.659)
Epoch: [64][170/7045]	Time 0.148 (0.292)	Data 0.091 (0.229)	Loss 2.6519 (2.6466)	Prec@1 37.500 (36.721)	Prec@5 64.844 (66.639)
Epoch: [64][180/7045]	Time 0.125 (0.290)	Data 0.074 (0.227)	Loss 2.5633 (2.6467)	Prec@1 40.625 (36.714)	Prec@5 68.750 (66.648)
Epoch: [64][190/7045]	Time 0.101 (0.290)	Data 0.006 (0.227)	Loss 2.6744 (2.6448)	Prec@1 38.672 (36.796)	Prec@5 65.234 (66.621)
Epoch: [64][200/7045]	Time 0.149 (0.287)	Data 0.097 (0.224)	Loss 2.6309 (2.6421)	Prec@1 33.203 (36.796)	Prec@5 66.406 (66.698)
Epoch: [64][210/7045]	Time 0.172 (0.288)	Data 0.120 (0.224)	Loss 2.4862 (2.6435)	Prec@1 42.969 (36.819)	Prec@5 70.703 (66.691)
Epoch: [64][220/7045]	Time 0.268 (0.286)	Data 0.216 (0.223)	Loss 2.8228 (2.6430)	Prec@1 33.984 (36.827)	Prec@5 62.500 (66.675)
Epoch: [64][230/7045]	Time 0.216 (0.293)	Data 0.164 (0.230)	Loss 2.6900 (2.6423)	Prec@1 37.109 (36.873)	Prec@5 67.969 (66.709)
Epoch: [64][240/7045]	Time 0.102 (0.291)	Data 0.003 (0.228)	Loss 2.7444 (2.6446)	Prec@1 33.984 (36.767)	Prec@5 62.109 (66.675)
Epoch: [64][250/7045]	Time 0.287 (0.291)	Data 0.235 (0.228)	Loss 2.4088 (2.6413)	Prec@1 39.844 (36.795)	Prec@5 71.484 (66.719)
Epoch: [64][260/7045]	Time 0.142 (0.289)	Data 0.091 (0.226)	Loss 2.4840 (2.6400)	Prec@1 37.891 (36.794)	Prec@5 71.875 (66.730)
Epoch: [64][270/7045]	Time 0.101 (0.289)	Data 0.001 (0.226)	Loss 2.4818 (2.6402)	Prec@1 37.500 (36.772)	Prec@5 72.656 (66.722)
Epoch: [64][280/7045]	Time 0.219 (0.288)	Data 0.167 (0.225)	Loss 2.5626 (2.6385)	Prec@1 37.891 (36.780)	Prec@5 66.016 (66.698)
Epoch: [64][290/7045]	Time 1.110 (0.290)	Data 1.059 (0.227)	Loss 2.6012 (2.6369)	Prec@1 33.203 (36.807)	Prec@5 69.531 (66.736)
Epoch: [64][300/7045]	Time 0.146 (0.289)	Data 0.095 (0.226)	Loss 2.6707 (2.6362)	Prec@1 33.594 (36.839)	Prec@5 66.406 (66.740)
Epoch: [64][310/7045]	Time 0.470 (0.289)	Data 0.417 (0.226)	Loss 2.6897 (2.6358)	Prec@1 35.938 (36.857)	Prec@5 65.625 (66.759)
Epoch: [64][320/7045]	Time 0.102 (0.288)	Data 0.001 (0.225)	Loss 2.5881 (2.6373)	Prec@1 36.719 (36.878)	Prec@5 67.188 (66.708)
Epoch: [64][330/7045]	Time 0.101 (0.286)	Data 0.048 (0.224)	Loss 2.5147 (2.6367)	Prec@1 37.109 (36.857)	Prec@5 67.969 (66.693)
Epoch: [64][340/7045]	Time 0.366 (0.286)	Data 0.313 (0.224)	Loss 2.6693 (2.6378)	Prec@1 37.500 (36.824)	Prec@5 63.672 (66.647)
Epoch: [64][350/7045]	Time 0.102 (0.285)	Data 0.050 (0.222)	Loss 2.6854 (2.6371)	Prec@1 33.203 (36.858)	Prec@5 66.406 (66.667)
Epoch: [64][360/7045]	Time 0.656 (0.286)	Data 0.605 (0.223)	Loss 2.4090 (2.6365)	Prec@1 37.891 (36.841)	Prec@5 66.797 (66.655)
Epoch: [64][370/7045]	Time 0.222 (0.284)	Data 0.171 (0.221)	Loss 2.5686 (2.6369)	Prec@1 41.797 (36.860)	Prec@5 66.797 (66.638)
Epoch: [64][380/7045]	Time 0.239 (0.284)	Data 0.188 (0.221)	Loss 2.7025 (2.6370)	Prec@1 34.766 (36.861)	Prec@5 64.844 (66.639)
Epoch: [64][390/7045]	Time 0.165 (0.287)	Data 0.114 (0.224)	Loss 2.5833 (2.6367)	Prec@1 43.359 (36.888)	Prec@5 65.625 (66.636)
Epoch: [64][400/7045]	Time 0.104 (0.286)	Data 0.051 (0.223)	Loss 2.8778 (2.6379)	Prec@1 36.719 (36.872)	Prec@5 60.547 (66.599)
Epoch: [64][410/7045]	Time 0.101 (0.286)	Data 0.001 (0.223)	Loss 2.6354 (2.6377)	Prec@1 33.594 (36.855)	Prec@5 66.016 (66.611)
Epoch: [64][420/7045]	Time 0.126 (0.285)	Data 0.074 (0.221)	Loss 2.8274 (2.6397)	Prec@1 33.594 (36.799)	Prec@5 59.766 (66.575)
Epoch: [64][430/7045]	Time 0.279 (0.285)	Data 0.227 (0.221)	Loss 2.7268 (2.6401)	Prec@1 32.031 (36.803)	Prec@5 64.062 (66.557)
Epoch: [64][440/7045]	Time 0.157 (0.284)	Data 0.105 (0.220)	Loss 2.7614 (2.6402)	Prec@1 35.156 (36.798)	Prec@5 66.016 (66.570)
Epoch: [64][450/7045]	Time 0.604 (0.284)	Data 0.551 (0.221)	Loss 2.5381 (2.6402)	Prec@1 36.328 (36.795)	Prec@5 69.141 (66.556)
Epoch: [64][460/7045]	Time 0.110 (0.283)	Data 0.058 (0.220)	Loss 2.6444 (2.6408)	Prec@1 35.156 (36.776)	Prec@5 70.312 (66.535)
Epoch: [64][470/7045]	Time 0.396 (0.283)	Data 0.345 (0.220)	Loss 2.6495 (2.6392)	Prec@1 35.938 (36.802)	Prec@5 64.844 (66.548)
Epoch: [64][480/7045]	Time 0.185 (0.283)	Data 0.135 (0.220)	Loss 2.5285 (2.6386)	Prec@1 41.406 (36.826)	Prec@5 68.359 (66.545)
Epoch: [64][490/7045]	Time 2.173 (0.286)	Data 2.122 (0.223)	Loss 2.6725 (2.6386)	Prec@1 37.891 (36.817)	Prec@5 66.406 (66.534)
Epoch: [64][500/7045]	Time 0.101 (0.285)	Data 0.004 (0.223)	Loss 2.5091 (2.6383)	Prec@1 37.500 (36.820)	Prec@5 71.484 (66.550)
Epoch: [64][510/7045]	Time 0.599 (0.285)	Data 0.547 (0.223)	Loss 2.8568 (2.6379)	Prec@1 33.984 (36.832)	Prec@5 64.062 (66.570)
Epoch: [64][520/7045]	Time 0.111 (0.285)	Data 0.059 (0.222)	Loss 2.6611 (2.6367)	Prec@1 33.203 (36.832)	Prec@5 61.719 (66.579)
Epoch: [64][530/7045]	Time 0.462 (0.285)	Data 0.405 (0.222)	Loss 2.5848 (2.6365)	Prec@1 36.328 (36.819)	Prec@5 68.750 (66.595)
Epoch: [64][540/7045]	Time 0.414 (0.285)	Data 0.361 (0.222)	Loss 2.5717 (2.6360)	Prec@1 37.891 (36.820)	Prec@5 68.359 (66.585)
Epoch: [64][550/7045]	Time 0.217 (0.284)	Data 0.165 (0.221)	Loss 2.7638 (2.6358)	Prec@1 34.375 (36.826)	Prec@5 61.719 (66.582)
Epoch: [64][560/7045]	Time 0.393 (0.286)	Data 0.341 (0.223)	Loss 2.6089 (2.6360)	Prec@1 38.672 (36.823)	Prec@5 69.141 (66.578)
Epoch: [64][570/7045]	Time 0.114 (0.284)	Data 0.063 (0.222)	Loss 2.6357 (2.6372)	Prec@1 37.500 (36.797)	Prec@5 67.969 (66.562)
Epoch: [64][580/7045]	Time 0.137 (0.284)	Data 0.079 (0.222)	Loss 2.6361 (2.6369)	Prec@1 37.109 (36.802)	Prec@5 68.359 (66.569)
Epoch: [64][590/7045]	Time 0.523 (0.284)	Data 0.472 (0.221)	Loss 2.8560 (2.6374)	Prec@1 33.594 (36.803)	Prec@5 63.672 (66.565)
Epoch: [64][600/7045]	Time 0.102 (0.283)	Data 0.001 (0.221)	Loss 2.6617 (2.6358)	Prec@1 34.375 (36.833)	Prec@5 66.797 (66.589)
Epoch: [64][610/7045]	Time 0.101 (0.283)	Data 0.007 (0.221)	Loss 2.5939 (2.6366)	Prec@1 37.891 (36.822)	Prec@5 70.312 (66.583)
Epoch: [64][620/7045]	Time 0.114 (0.283)	Data 0.062 (0.220)	Loss 2.5464 (2.6360)	Prec@1 35.156 (36.813)	Prec@5 65.625 (66.580)
Epoch: [64][630/7045]	Time 0.309 (0.283)	Data 0.257 (0.221)	Loss 2.6197 (2.6364)	Prec@1 37.500 (36.804)	Prec@5 65.625 (66.581)
Epoch: [64][640/7045]	Time 0.164 (0.283)	Data 0.112 (0.220)	Loss 2.6094 (2.6368)	Prec@1 37.891 (36.777)	Prec@5 68.359 (66.572)
Epoch: [64][650/7045]	Time 0.117 (0.285)	Data 0.065 (0.223)	Loss 2.8711 (2.6368)	Prec@1 35.547 (36.785)	Prec@5 60.547 (66.577)
Epoch: [64][660/7045]	Time 0.112 (0.285)	Data 0.059 (0.222)	Loss 2.6402 (2.6361)	Prec@1 34.375 (36.799)	Prec@5 66.406 (66.588)
Epoch: [64][670/7045]	Time 0.257 (0.285)	Data 0.206 (0.222)	Loss 2.6102 (2.6355)	Prec@1 34.375 (36.808)	Prec@5 64.844 (66.594)
Epoch: [64][680/7045]	Time 0.342 (0.284)	Data 0.290 (0.222)	Loss 2.7484 (2.6354)	Prec@1 36.328 (36.826)	Prec@5 63.281 (66.583)
Epoch: [64][690/7045]	Time 0.296 (0.284)	Data 0.236 (0.222)	Loss 2.7524 (2.6354)	Prec@1 39.062 (36.828)	Prec@5 63.281 (66.562)
Epoch: [64][700/7045]	Time 0.101 (0.284)	Data 0.002 (0.222)	Loss 2.5043 (2.6355)	Prec@1 37.109 (36.811)	Prec@5 66.797 (66.562)
Epoch: [64][710/7045]	Time 0.175 (0.283)	Data 0.123 (0.221)	Loss 2.6749 (2.6354)	Prec@1 35.156 (36.826)	Prec@5 66.797 (66.553)
Epoch: [64][720/7045]	Time 0.156 (0.284)	Data 0.105 (0.222)	Loss 2.6840 (2.6353)	Prec@1 35.547 (36.840)	Prec@5 67.188 (66.562)
Epoch: [64][730/7045]	Time 0.102 (0.283)	Data 0.005 (0.221)	Loss 2.6821 (2.6346)	Prec@1 35.938 (36.855)	Prec@5 64.844 (66.575)
Epoch: [64][740/7045]	Time 0.371 (0.283)	Data 0.321 (0.221)	Loss 2.8292 (2.6345)	Prec@1 36.719 (36.860)	Prec@5 62.500 (66.568)
Epoch: [64][750/7045]	Time 0.102 (0.283)	Data 0.001 (0.221)	Loss 2.6813 (2.6346)	Prec@1 33.203 (36.839)	Prec@5 64.062 (66.564)
Epoch: [64][760/7045]	Time 0.487 (0.286)	Data 0.436 (0.223)	Loss 2.5867 (2.6343)	Prec@1 35.547 (36.854)	Prec@5 67.188 (66.556)
Epoch: [64][770/7045]	Time 0.219 (0.285)	Data 0.167 (0.223)	Loss 2.3915 (2.6343)	Prec@1 41.797 (36.856)	Prec@5 71.094 (66.544)
Epoch: [64][780/7045]	Time 0.272 (0.285)	Data 0.220 (0.222)	Loss 2.6450 (2.6342)	Prec@1 34.375 (36.849)	Prec@5 69.531 (66.555)
Epoch: [64][790/7045]	Time 0.232 (0.284)	Data 0.178 (0.222)	Loss 2.3183 (2.6337)	Prec@1 45.703 (36.836)	Prec@5 74.219 (66.549)
Epoch: [64][800/7045]	Time 0.109 (0.284)	Data 0.058 (0.222)	Loss 2.5495 (2.6341)	Prec@1 39.453 (36.816)	Prec@5 67.188 (66.553)
Epoch: [64][810/7045]	Time 0.109 (0.284)	Data 0.009 (0.222)	Loss 2.6132 (2.6336)	Prec@1 37.500 (36.837)	Prec@5 67.969 (66.558)
Epoch: [64][820/7045]	Time 0.100 (0.284)	Data 0.001 (0.221)	Loss 2.7489 (2.6345)	Prec@1 35.938 (36.820)	Prec@5 65.234 (66.540)
Epoch: [64][830/7045]	Time 0.102 (0.285)	Data 0.001 (0.222)	Loss 2.7639 (2.6352)	Prec@1 33.203 (36.797)	Prec@5 65.625 (66.525)
Epoch: [64][840/7045]	Time 0.102 (0.284)	Data 0.001 (0.221)	Loss 2.4001 (2.6349)	Prec@1 39.062 (36.807)	Prec@5 73.438 (66.537)
Epoch: [64][850/7045]	Time 0.193 (0.284)	Data 0.142 (0.221)	Loss 2.6308 (2.6359)	Prec@1 37.109 (36.793)	Prec@5 68.359 (66.533)
Epoch: [64][860/7045]	Time 0.408 (0.284)	Data 0.351 (0.221)	Loss 2.7485 (2.6364)	Prec@1 38.281 (36.783)	Prec@5 62.500 (66.512)
Epoch: [64][870/7045]	Time 0.105 (0.283)	Data 0.053 (0.221)	Loss 2.6342 (2.6369)	Prec@1 36.719 (36.771)	Prec@5 67.188 (66.507)
Epoch: [64][880/7045]	Time 0.237 (0.283)	Data 0.185 (0.221)	Loss 2.5887 (2.6373)	Prec@1 37.891 (36.768)	Prec@5 68.359 (66.494)
Epoch: [64][890/7045]	Time 0.101 (0.283)	Data 0.001 (0.220)	Loss 2.6536 (2.6372)	Prec@1 36.719 (36.773)	Prec@5 66.797 (66.492)
Epoch: [64][900/7045]	Time 0.415 (0.283)	Data 0.363 (0.220)	Loss 2.7168 (2.6374)	Prec@1 33.203 (36.775)	Prec@5 66.406 (66.489)
Epoch: [64][910/7045]	Time 0.104 (0.282)	Data 0.052 (0.220)	Loss 2.7155 (2.6372)	Prec@1 40.234 (36.772)	Prec@5 65.234 (66.493)
Epoch: [64][920/7045]	Time 1.207 (0.283)	Data 1.155 (0.221)	Loss 2.6163 (2.6375)	Prec@1 34.375 (36.773)	Prec@5 66.016 (66.492)
Epoch: [64][930/7045]	Time 0.548 (0.283)	Data 0.496 (0.221)	Loss 2.4957 (2.6369)	Prec@1 38.281 (36.790)	Prec@5 69.141 (66.499)
Epoch: [64][940/7045]	Time 0.167 (0.283)	Data 0.115 (0.220)	Loss 2.7966 (2.6362)	Prec@1 33.984 (36.809)	Prec@5 64.062 (66.512)
Epoch: [64][950/7045]	Time 0.598 (0.283)	Data 0.540 (0.220)	Loss 2.5065 (2.6361)	Prec@1 43.750 (36.812)	Prec@5 67.578 (66.503)
Epoch: [64][960/7045]	Time 0.101 (0.282)	Data 0.004 (0.219)	Loss 2.8617 (2.6372)	Prec@1 34.375 (36.803)	Prec@5 64.844 (66.486)
Epoch: [64][970/7045]	Time 0.254 (0.282)	Data 0.203 (0.219)	Loss 2.4690 (2.6378)	Prec@1 42.188 (36.783)	Prec@5 66.797 (66.470)
Epoch: [64][980/7045]	Time 0.251 (0.282)	Data 0.200 (0.219)	Loss 2.7130 (2.6377)	Prec@1 33.594 (36.790)	Prec@5 63.672 (66.464)
Epoch: [64][990/7045]	Time 0.413 (0.282)	Data 0.361 (0.219)	Loss 2.4209 (2.6379)	Prec@1 41.406 (36.776)	Prec@5 70.703 (66.466)
Epoch: [64][1000/7045]	Time 0.308 (0.282)	Data 0.258 (0.219)	Loss 2.5660 (2.6380)	Prec@1 37.500 (36.776)	Prec@5 67.578 (66.468)
Epoch: [64][1010/7045]	Time 0.113 (0.281)	Data 0.061 (0.219)	Loss 2.5584 (2.6374)	Prec@1 34.375 (36.787)	Prec@5 70.312 (66.481)
Epoch: [64][1020/7045]	Time 0.306 (0.282)	Data 0.254 (0.219)	Loss 2.6858 (2.6369)	Prec@1 33.203 (36.784)	Prec@5 66.797 (66.490)
Epoch: [64][1030/7045]	Time 0.100 (0.281)	Data 0.004 (0.218)	Loss 2.5514 (2.6374)	Prec@1 40.234 (36.774)	Prec@5 69.141 (66.483)
Epoch: [64][1040/7045]	Time 0.102 (0.281)	Data 0.049 (0.218)	Loss 2.7224 (2.6372)	Prec@1 34.375 (36.780)	Prec@5 66.406 (66.492)
Epoch: [64][1050/7045]	Time 0.251 (0.282)	Data 0.199 (0.219)	Loss 2.6045 (2.6368)	Prec@1 37.891 (36.792)	Prec@5 71.484 (66.510)
Epoch: [64][1060/7045]	Time 0.103 (0.282)	Data 0.001 (0.219)	Loss 2.7749 (2.6368)	Prec@1 33.984 (36.791)	Prec@5 62.500 (66.504)
Epoch: [64][1070/7045]	Time 0.423 (0.282)	Data 0.371 (0.219)	Loss 2.7161 (2.6370)	Prec@1 34.766 (36.780)	Prec@5 66.406 (66.504)
Epoch: [64][1080/7045]	Time 0.102 (0.282)	Data 0.001 (0.218)	Loss 2.5681 (2.6369)	Prec@1 37.891 (36.785)	Prec@5 66.797 (66.489)
Epoch: [64][1090/7045]	Time 0.221 (0.282)	Data 0.169 (0.219)	Loss 2.4374 (2.6366)	Prec@1 42.578 (36.800)	Prec@5 72.266 (66.496)
Epoch: [64][1100/7045]	Time 0.335 (0.281)	Data 0.284 (0.218)	Loss 2.7436 (2.6370)	Prec@1 37.109 (36.782)	Prec@5 60.938 (66.481)
Epoch: [64][1110/7045]	Time 0.292 (0.281)	Data 0.241 (0.218)	Loss 2.6354 (2.6368)	Prec@1 39.453 (36.789)	Prec@5 67.969 (66.490)
Epoch: [64][1120/7045]	Time 0.416 (0.281)	Data 0.365 (0.218)	Loss 2.4697 (2.6361)	Prec@1 37.500 (36.803)	Prec@5 72.266 (66.508)
Epoch: [64][1130/7045]	Time 0.562 (0.281)	Data 0.503 (0.218)	Loss 2.7877 (2.6360)	Prec@1 34.766 (36.798)	Prec@5 62.500 (66.504)
Epoch: [64][1140/7045]	Time 0.784 (0.281)	Data 0.732 (0.218)	Loss 2.5324 (2.6362)	Prec@1 39.453 (36.791)	Prec@5 68.359 (66.514)
Epoch: [64][1150/7045]	Time 0.109 (0.281)	Data 0.056 (0.218)	Loss 2.4725 (2.6364)	Prec@1 42.969 (36.795)	Prec@5 68.750 (66.509)
Epoch: [64][1160/7045]	Time 0.851 (0.284)	Data 0.797 (0.221)	Loss 2.5252 (2.6368)	Prec@1 42.578 (36.795)	Prec@5 71.094 (66.504)
Epoch: [64][1170/7045]	Time 0.102 (0.283)	Data 0.001 (0.220)	Loss 2.4952 (2.6368)	Prec@1 39.453 (36.801)	Prec@5 70.312 (66.503)
Epoch: [64][1180/7045]	Time 0.101 (0.283)	Data 0.001 (0.220)	Loss 2.6167 (2.6358)	Prec@1 34.766 (36.818)	Prec@5 67.969 (66.525)
Epoch: [64][1190/7045]	Time 0.105 (0.283)	Data 0.051 (0.219)	Loss 2.6351 (2.6358)	Prec@1 38.281 (36.809)	Prec@5 67.188 (66.527)
Epoch: [64][1200/7045]	Time 0.179 (0.283)	Data 0.128 (0.219)	Loss 2.6231 (2.6365)	Prec@1 36.719 (36.803)	Prec@5 69.141 (66.513)
Epoch: [64][1210/7045]	Time 0.189 (0.283)	Data 0.138 (0.219)	Loss 2.7930 (2.6366)	Prec@1 36.328 (36.793)	Prec@5 66.797 (66.512)
Epoch: [64][1220/7045]	Time 0.653 (0.283)	Data 0.601 (0.219)	Loss 2.6256 (2.6363)	Prec@1 39.062 (36.792)	Prec@5 63.281 (66.513)
Epoch: [64][1230/7045]	Time 0.101 (0.282)	Data 0.001 (0.219)	Loss 2.6699 (2.6365)	Prec@1 35.938 (36.792)	Prec@5 65.234 (66.503)
Epoch: [64][1240/7045]	Time 0.654 (0.282)	Data 0.602 (0.219)	Loss 2.7909 (2.6363)	Prec@1 30.859 (36.794)	Prec@5 61.328 (66.511)
Epoch: [64][1250/7045]	Time 0.463 (0.284)	Data 0.405 (0.220)	Loss 2.6408 (2.6367)	Prec@1 39.453 (36.789)	Prec@5 66.406 (66.504)
Epoch: [64][1260/7045]	Time 0.576 (0.284)	Data 0.524 (0.220)	Loss 2.6749 (2.6367)	Prec@1 39.062 (36.788)	Prec@5 62.500 (66.501)
Epoch: [64][1270/7045]	Time 0.323 (0.283)	Data 0.271 (0.220)	Loss 2.6246 (2.6369)	Prec@1 39.062 (36.786)	Prec@5 67.188 (66.500)
Epoch: [64][1280/7045]	Time 0.142 (0.283)	Data 0.088 (0.220)	Loss 2.6526 (2.6370)	Prec@1 38.281 (36.780)	Prec@5 66.016 (66.490)
Epoch: [64][1290/7045]	Time 0.497 (0.283)	Data 0.446 (0.220)	Loss 2.6274 (2.6375)	Prec@1 33.984 (36.770)	Prec@5 67.188 (66.482)
Epoch: [64][1300/7045]	Time 0.112 (0.283)	Data 0.001 (0.220)	Loss 2.6136 (2.6375)	Prec@1 36.328 (36.772)	Prec@5 63.281 (66.476)
Epoch: [64][1310/7045]	Time 1.430 (0.284)	Data 1.379 (0.220)	Loss 2.9297 (2.6379)	Prec@1 33.594 (36.763)	Prec@5 60.938 (66.473)
Epoch: [64][1320/7045]	Time 0.101 (0.283)	Data 0.009 (0.220)	Loss 2.6448 (2.6375)	Prec@1 39.062 (36.773)	Prec@5 63.672 (66.478)
Epoch: [64][1330/7045]	Time 0.103 (0.283)	Data 0.005 (0.220)	Loss 2.5809 (2.6374)	Prec@1 36.328 (36.775)	Prec@5 68.750 (66.476)
Epoch: [64][1340/7045]	Time 0.102 (0.283)	Data 0.001 (0.220)	Loss 2.6480 (2.6376)	Prec@1 37.109 (36.767)	Prec@5 64.844 (66.471)
Epoch: [64][1350/7045]	Time 0.105 (0.283)	Data 0.054 (0.219)	Loss 2.5627 (2.6376)	Prec@1 37.891 (36.769)	Prec@5 63.672 (66.462)
Epoch: [64][1360/7045]	Time 0.404 (0.283)	Data 0.348 (0.219)	Loss 2.5535 (2.6375)	Prec@1 41.406 (36.772)	Prec@5 69.922 (66.468)
Epoch: [64][1370/7045]	Time 0.102 (0.283)	Data 0.001 (0.219)	Loss 2.6121 (2.6373)	Prec@1 39.062 (36.779)	Prec@5 68.750 (66.469)
Epoch: [64][1380/7045]	Time 0.290 (0.283)	Data 0.239 (0.219)	Loss 2.5759 (2.6375)	Prec@1 39.062 (36.778)	Prec@5 68.359 (66.466)
Epoch: [64][1390/7045]	Time 0.353 (0.283)	Data 0.302 (0.219)	Loss 2.6446 (2.6375)	Prec@1 37.109 (36.773)	Prec@5 64.062 (66.465)
Epoch: [64][1400/7045]	Time 0.563 (0.283)	Data 0.511 (0.219)	Loss 2.4311 (2.6377)	Prec@1 40.234 (36.771)	Prec@5 71.875 (66.459)
Epoch: [64][1410/7045]	Time 0.239 (0.282)	Data 0.180 (0.219)	Loss 2.6424 (2.6378)	Prec@1 35.547 (36.764)	Prec@5 66.797 (66.463)
Epoch: [64][1420/7045]	Time 0.861 (0.284)	Data 0.809 (0.220)	Loss 2.6783 (2.6378)	Prec@1 37.109 (36.767)	Prec@5 66.797 (66.461)
Epoch: [64][1430/7045]	Time 0.101 (0.283)	Data 0.006 (0.220)	Loss 2.6704 (2.6376)	Prec@1 35.938 (36.773)	Prec@5 66.016 (66.463)
Epoch: [64][1440/7045]	Time 0.477 (0.283)	Data 0.425 (0.220)	Loss 2.5623 (2.6376)	Prec@1 38.672 (36.767)	Prec@5 66.016 (66.465)
Epoch: [64][1450/7045]	Time 0.235 (0.283)	Data 0.183 (0.219)	Loss 2.8404 (2.6377)	Prec@1 33.203 (36.760)	Prec@5 59.766 (66.464)
Epoch: [64][1460/7045]	Time 0.102 (0.283)	Data 0.001 (0.219)	Loss 2.6163 (2.6377)	Prec@1 37.891 (36.768)	Prec@5 68.359 (66.468)
Epoch: [64][1470/7045]	Time 0.141 (0.283)	Data 0.090 (0.219)	Loss 2.5858 (2.6374)	Prec@1 35.938 (36.771)	Prec@5 65.625 (66.478)
Epoch: [64][1480/7045]	Time 0.291 (0.282)	Data 0.240 (0.219)	Loss 2.7801 (2.6375)	Prec@1 35.547 (36.768)	Prec@5 62.109 (66.477)
Epoch: [64][1490/7045]	Time 0.437 (0.283)	Data 0.385 (0.220)	Loss 2.5291 (2.6370)	Prec@1 41.016 (36.781)	Prec@5 65.625 (66.476)
Epoch: [64][1500/7045]	Time 0.304 (0.283)	Data 0.253 (0.219)	Loss 2.6689 (2.6372)	Prec@1 36.328 (36.782)	Prec@5 65.625 (66.474)
Epoch: [64][1510/7045]	Time 0.101 (0.283)	Data 0.001 (0.219)	Loss 2.7109 (2.6373)	Prec@1 36.328 (36.779)	Prec@5 60.156 (66.465)
Epoch: [64][1520/7045]	Time 0.105 (0.283)	Data 0.046 (0.219)	Loss 2.6869 (2.6374)	Prec@1 34.375 (36.777)	Prec@5 64.453 (66.465)
Epoch: [64][1530/7045]	Time 0.566 (0.283)	Data 0.514 (0.219)	Loss 2.6279 (2.6375)	Prec@1 37.109 (36.781)	Prec@5 64.062 (66.460)
Epoch: [64][1540/7045]	Time 0.125 (0.282)	Data 0.073 (0.219)	Loss 2.5606 (2.6376)	Prec@1 35.547 (36.776)	Prec@5 67.969 (66.457)
Epoch: [64][1550/7045]	Time 0.333 (0.282)	Data 0.275 (0.219)	Loss 2.5492 (2.6376)	Prec@1 40.625 (36.772)	Prec@5 67.188 (66.460)
Epoch: [64][1560/7045]	Time 0.187 (0.282)	Data 0.135 (0.219)	Loss 2.5675 (2.6377)	Prec@1 37.891 (36.768)	Prec@5 65.234 (66.457)
Epoch: [64][1570/7045]	Time 0.166 (0.282)	Data 0.114 (0.219)	Loss 2.6138 (2.6373)	Prec@1 35.156 (36.768)	Prec@5 66.406 (66.464)
Epoch: [64][1580/7045]	Time 0.111 (0.284)	Data 0.001 (0.220)	Loss 2.7509 (2.6375)	Prec@1 35.938 (36.764)	Prec@5 64.062 (66.466)
Epoch: [64][1590/7045]	Time 0.102 (0.284)	Data 0.001 (0.220)	Loss 2.6375 (2.6378)	Prec@1 37.500 (36.758)	Prec@5 66.797 (66.452)
Epoch: [64][1600/7045]	Time 0.112 (0.283)	Data 0.060 (0.220)	Loss 2.7214 (2.6378)	Prec@1 38.672 (36.759)	Prec@5 65.234 (66.448)
Epoch: [64][1610/7045]	Time 0.299 (0.283)	Data 0.247 (0.220)	Loss 2.3755 (2.6376)	Prec@1 39.062 (36.761)	Prec@5 71.094 (66.452)
Epoch: [64][1620/7045]	Time 0.294 (0.283)	Data 0.242 (0.220)	Loss 2.7382 (2.6375)	Prec@1 35.547 (36.762)	Prec@5 67.188 (66.461)
Epoch: [64][1630/7045]	Time 0.104 (0.283)	Data 0.051 (0.219)	Loss 2.5580 (2.6378)	Prec@1 37.109 (36.759)	Prec@5 69.141 (66.455)
Epoch: [64][1640/7045]	Time 0.114 (0.283)	Data 0.062 (0.219)	Loss 2.5526 (2.6377)	Prec@1 42.969 (36.764)	Prec@5 67.188 (66.452)
Epoch: [64][1650/7045]	Time 0.108 (0.283)	Data 0.056 (0.220)	Loss 2.6993 (2.6378)	Prec@1 32.422 (36.756)	Prec@5 65.625 (66.455)
Epoch: [64][1660/7045]	Time 0.361 (0.283)	Data 0.309 (0.220)	Loss 2.5495 (2.6378)	Prec@1 38.672 (36.750)	Prec@5 67.578 (66.452)
Epoch: [64][1670/7045]	Time 0.109 (0.283)	Data 0.057 (0.219)	Loss 2.6105 (2.6379)	Prec@1 39.062 (36.747)	Prec@5 67.188 (66.449)
Epoch: [64][1680/7045]	Time 0.302 (0.283)	Data 0.251 (0.219)	Loss 2.5463 (2.6378)	Prec@1 38.672 (36.748)	Prec@5 67.969 (66.452)
Epoch: [64][1690/7045]	Time 0.342 (0.283)	Data 0.290 (0.219)	Loss 2.7464 (2.6377)	Prec@1 32.422 (36.753)	Prec@5 64.453 (66.457)
Epoch: [64][1700/7045]	Time 0.269 (0.282)	Data 0.218 (0.219)	Loss 2.5951 (2.6378)	Prec@1 40.625 (36.755)	Prec@5 66.406 (66.456)
Epoch: [64][1710/7045]	Time 0.102 (0.282)	Data 0.051 (0.219)	Loss 2.6678 (2.6379)	Prec@1 33.984 (36.747)	Prec@5 61.328 (66.447)
Epoch: [64][1720/7045]	Time 0.110 (0.282)	Data 0.058 (0.219)	Loss 2.7714 (2.6383)	Prec@1 33.984 (36.744)	Prec@5 61.328 (66.433)
Epoch: [64][1730/7045]	Time 0.105 (0.282)	Data 0.053 (0.219)	Loss 2.7748 (2.6383)	Prec@1 37.500 (36.744)	Prec@5 65.234 (66.436)
Epoch: [64][1740/7045]	Time 0.105 (0.282)	Data 0.053 (0.219)	Loss 2.7476 (2.6385)	Prec@1 33.594 (36.731)	Prec@5 64.062 (66.430)
Epoch: [64][1750/7045]	Time 0.102 (0.282)	Data 0.009 (0.218)	Loss 2.4909 (2.6384)	Prec@1 38.281 (36.731)	Prec@5 73.828 (66.433)
Epoch: [64][1760/7045]	Time 0.305 (0.283)	Data 0.254 (0.219)	Loss 2.5986 (2.6384)	Prec@1 37.109 (36.731)	Prec@5 69.141 (66.428)
Epoch: [64][1770/7045]	Time 0.181 (0.282)	Data 0.128 (0.219)	Loss 2.6374 (2.6389)	Prec@1 38.672 (36.722)	Prec@5 64.844 (66.415)
Epoch: [64][1780/7045]	Time 0.101 (0.282)	Data 0.001 (0.219)	Loss 2.5940 (2.6390)	Prec@1 36.719 (36.716)	Prec@5 64.062 (66.412)
Epoch: [64][1790/7045]	Time 0.422 (0.282)	Data 0.371 (0.219)	Loss 2.4908 (2.6386)	Prec@1 39.844 (36.725)	Prec@5 69.141 (66.421)
Epoch: [64][1800/7045]	Time 0.100 (0.282)	Data 0.003 (0.218)	Loss 2.4387 (2.6383)	Prec@1 40.234 (36.729)	Prec@5 70.312 (66.421)
Epoch: [64][1810/7045]	Time 0.550 (0.282)	Data 0.491 (0.219)	Loss 2.6456 (2.6380)	Prec@1 35.938 (36.731)	Prec@5 66.016 (66.427)
Epoch: [64][1820/7045]	Time 0.101 (0.282)	Data 0.001 (0.218)	Loss 2.3796 (2.6378)	Prec@1 44.141 (36.730)	Prec@5 72.266 (66.432)
Epoch: [64][1830/7045]	Time 0.493 (0.282)	Data 0.441 (0.218)	Loss 2.5784 (2.6379)	Prec@1 36.719 (36.717)	Prec@5 66.797 (66.431)
Epoch: [64][1840/7045]	Time 0.432 (0.282)	Data 0.381 (0.218)	Loss 2.3961 (2.6382)	Prec@1 41.797 (36.714)	Prec@5 68.750 (66.426)
Epoch: [64][1850/7045]	Time 0.118 (0.282)	Data 0.059 (0.218)	Loss 2.6790 (2.6384)	Prec@1 35.938 (36.708)	Prec@5 65.625 (66.421)
Epoch: [64][1860/7045]	Time 0.458 (0.282)	Data 0.407 (0.219)	Loss 2.6416 (2.6383)	Prec@1 36.328 (36.712)	Prec@5 68.359 (66.421)
Epoch: [64][1870/7045]	Time 0.228 (0.282)	Data 0.176 (0.218)	Loss 2.4997 (2.6380)	Prec@1 36.719 (36.721)	Prec@5 69.531 (66.430)
Epoch: [64][1880/7045]	Time 0.476 (0.282)	Data 0.425 (0.218)	Loss 2.6793 (2.6380)	Prec@1 35.938 (36.719)	Prec@5 65.234 (66.426)
Epoch: [64][1890/7045]	Time 0.102 (0.282)	Data 0.001 (0.218)	Loss 2.6541 (2.6378)	Prec@1 33.203 (36.721)	Prec@5 66.016 (66.432)
Epoch: [64][1900/7045]	Time 0.200 (0.282)	Data 0.148 (0.218)	Loss 2.5775 (2.6379)	Prec@1 35.547 (36.713)	Prec@5 66.406 (66.433)
Epoch: [64][1910/7045]	Time 0.102 (0.282)	Data 0.005 (0.218)	Loss 2.5939 (2.6380)	Prec@1 36.328 (36.713)	Prec@5 67.969 (66.428)
Epoch: [64][1920/7045]	Time 1.732 (0.282)	Data 1.681 (0.219)	Loss 2.5686 (2.6379)	Prec@1 35.547 (36.714)	Prec@5 67.188 (66.433)
Epoch: [64][1930/7045]	Time 0.099 (0.282)	Data 0.001 (0.218)	Loss 2.8741 (2.6382)	Prec@1 30.859 (36.709)	Prec@5 64.062 (66.427)
Epoch: [64][1940/7045]	Time 0.516 (0.282)	Data 0.465 (0.218)	Loss 2.3681 (2.6382)	Prec@1 37.109 (36.703)	Prec@5 75.000 (66.430)
Epoch: [64][1950/7045]	Time 0.146 (0.282)	Data 0.088 (0.218)	Loss 2.5232 (2.6378)	Prec@1 37.500 (36.711)	Prec@5 69.922 (66.436)
Epoch: [64][1960/7045]	Time 0.573 (0.282)	Data 0.521 (0.218)	Loss 2.4797 (2.6378)	Prec@1 34.375 (36.712)	Prec@5 73.828 (66.443)
Epoch: [64][1970/7045]	Time 0.102 (0.282)	Data 0.007 (0.218)	Loss 2.4028 (2.6380)	Prec@1 42.188 (36.712)	Prec@5 67.578 (66.435)
Epoch: [64][1980/7045]	Time 0.205 (0.282)	Data 0.153 (0.218)	Loss 2.6576 (2.6379)	Prec@1 34.375 (36.710)	Prec@5 68.750 (66.436)
Epoch: [64][1990/7045]	Time 0.102 (0.281)	Data 0.005 (0.218)	Loss 2.5072 (2.6380)	Prec@1 35.938 (36.710)	Prec@5 69.531 (66.430)
Epoch: [64][2000/7045]	Time 0.472 (0.282)	Data 0.420 (0.218)	Loss 2.6187 (2.6381)	Prec@1 35.938 (36.700)	Prec@5 68.359 (66.430)
Epoch: [64][2010/7045]	Time 0.102 (0.282)	Data 0.006 (0.218)	Loss 2.7920 (2.6381)	Prec@1 32.812 (36.699)	Prec@5 62.500 (66.431)
Epoch: [64][2020/7045]	Time 0.335 (0.282)	Data 0.284 (0.218)	Loss 2.5936 (2.6381)	Prec@1 36.328 (36.695)	Prec@5 68.359 (66.432)
Epoch: [64][2030/7045]	Time 0.102 (0.281)	Data 0.001 (0.218)	Loss 2.7376 (2.6384)	Prec@1 35.547 (36.690)	Prec@5 64.062 (66.423)
Epoch: [64][2040/7045]	Time 0.148 (0.281)	Data 0.089 (0.218)	Loss 2.5345 (2.6381)	Prec@1 40.625 (36.698)	Prec@5 67.969 (66.429)
Epoch: [64][2050/7045]	Time 0.117 (0.281)	Data 0.065 (0.218)	Loss 2.7397 (2.6383)	Prec@1 36.719 (36.701)	Prec@5 62.109 (66.429)
Epoch: [64][2060/7045]	Time 0.102 (0.281)	Data 0.001 (0.217)	Loss 2.7237 (2.6384)	Prec@1 31.250 (36.696)	Prec@5 67.188 (66.426)
Epoch: [64][2070/7045]	Time 0.188 (0.281)	Data 0.131 (0.218)	Loss 2.6072 (2.6384)	Prec@1 37.891 (36.694)	Prec@5 67.969 (66.430)
Epoch: [64][2080/7045]	Time 0.111 (0.281)	Data 0.059 (0.217)	Loss 2.5342 (2.6381)	Prec@1 40.625 (36.699)	Prec@5 72.266 (66.436)
Epoch: [64][2090/7045]	Time 0.248 (0.282)	Data 0.197 (0.218)	Loss 2.6424 (2.6382)	Prec@1 35.547 (36.695)	Prec@5 65.234 (66.437)
Epoch: [64][2100/7045]	Time 0.102 (0.282)	Data 0.005 (0.218)	Loss 2.5345 (2.6384)	Prec@1 40.625 (36.694)	Prec@5 70.703 (66.433)
Epoch: [64][2110/7045]	Time 0.463 (0.282)	Data 0.412 (0.218)	Loss 2.7031 (2.6384)	Prec@1 36.719 (36.695)	Prec@5 65.625 (66.429)
Epoch: [64][2120/7045]	Time 0.371 (0.282)	Data 0.320 (0.218)	Loss 2.7938 (2.6386)	Prec@1 35.156 (36.694)	Prec@5 63.672 (66.424)
Epoch: [64][2130/7045]	Time 0.483 (0.282)	Data 0.431 (0.218)	Loss 2.6260 (2.6386)	Prec@1 37.109 (36.696)	Prec@5 65.234 (66.421)
Epoch: [64][2140/7045]	Time 0.175 (0.282)	Data 0.123 (0.218)	Loss 2.6153 (2.6385)	Prec@1 36.719 (36.703)	Prec@5 69.141 (66.419)
Epoch: [64][2150/7045]	Time 0.102 (0.282)	Data 0.006 (0.218)	Loss 2.5837 (2.6384)	Prec@1 36.719 (36.708)	Prec@5 69.531 (66.421)
Epoch: [64][2160/7045]	Time 0.109 (0.282)	Data 0.056 (0.218)	Loss 2.5921 (2.6382)	Prec@1 39.062 (36.715)	Prec@5 67.578 (66.424)
Epoch: [64][2170/7045]	Time 0.212 (0.282)	Data 0.161 (0.218)	Loss 2.6692 (2.6386)	Prec@1 38.281 (36.707)	Prec@5 64.453 (66.420)
Epoch: [64][2180/7045]	Time 0.172 (0.282)	Data 0.121 (0.218)	Loss 2.6209 (2.6385)	Prec@1 38.281 (36.711)	Prec@5 62.500 (66.418)
Epoch: [64][2190/7045]	Time 0.266 (0.281)	Data 0.215 (0.218)	Loss 2.5840 (2.6388)	Prec@1 37.500 (36.705)	Prec@5 70.703 (66.412)
Epoch: [64][2200/7045]	Time 0.364 (0.281)	Data 0.312 (0.218)	Loss 2.4021 (2.6386)	Prec@1 37.891 (36.707)	Prec@5 71.484 (66.418)
Epoch: [64][2210/7045]	Time 0.104 (0.281)	Data 0.051 (0.218)	Loss 2.7340 (2.6388)	Prec@1 34.375 (36.707)	Prec@5 66.016 (66.412)
Epoch: [64][2220/7045]	Time 0.248 (0.281)	Data 0.196 (0.218)	Loss 2.6300 (2.6390)	Prec@1 33.203 (36.703)	Prec@5 68.359 (66.408)
Epoch: [64][2230/7045]	Time 0.101 (0.281)	Data 0.008 (0.218)	Loss 2.5387 (2.6390)	Prec@1 41.406 (36.708)	Prec@5 67.969 (66.408)
Epoch: [64][2240/7045]	Time 0.102 (0.281)	Data 0.049 (0.218)	Loss 2.8990 (2.6393)	Prec@1 33.203 (36.699)	Prec@5 58.594 (66.400)
Epoch: [64][2250/7045]	Time 0.102 (0.282)	Data 0.048 (0.219)	Loss 2.4252 (2.6391)	Prec@1 40.625 (36.702)	Prec@5 67.969 (66.401)
Epoch: [64][2260/7045]	Time 0.438 (0.282)	Data 0.387 (0.219)	Loss 2.6607 (2.6390)	Prec@1 38.672 (36.707)	Prec@5 64.844 (66.400)
Epoch: [64][2270/7045]	Time 0.150 (0.282)	Data 0.099 (0.218)	Loss 2.7280 (2.6389)	Prec@1 33.203 (36.707)	Prec@5 68.359 (66.407)
Epoch: [64][2280/7045]	Time 0.707 (0.282)	Data 0.656 (0.218)	Loss 2.6794 (2.6387)	Prec@1 35.156 (36.701)	Prec@5 64.062 (66.414)
Epoch: [64][2290/7045]	Time 0.102 (0.282)	Data 0.005 (0.218)	Loss 2.5238 (2.6385)	Prec@1 42.969 (36.706)	Prec@5 70.312 (66.420)
Epoch: [64][2300/7045]	Time 0.387 (0.282)	Data 0.335 (0.219)	Loss 2.5722 (2.6381)	Prec@1 39.062 (36.710)	Prec@5 64.844 (66.424)
Epoch: [64][2310/7045]	Time 0.169 (0.282)	Data 0.113 (0.219)	Loss 2.7628 (2.6379)	Prec@1 29.688 (36.715)	Prec@5 66.016 (66.426)
Epoch: [64][2320/7045]	Time 0.297 (0.282)	Data 0.245 (0.219)	Loss 2.6230 (2.6380)	Prec@1 39.453 (36.711)	Prec@5 67.188 (66.425)
Epoch: [64][2330/7045]	Time 0.243 (0.282)	Data 0.191 (0.219)	Loss 2.4848 (2.6380)	Prec@1 36.719 (36.711)	Prec@5 71.094 (66.427)
Epoch: [64][2340/7045]	Time 0.177 (0.282)	Data 0.125 (0.219)	Loss 2.4924 (2.6379)	Prec@1 40.625 (36.712)	Prec@5 68.359 (66.429)
Epoch: [64][2350/7045]	Time 0.468 (0.282)	Data 0.416 (0.218)	Loss 2.5788 (2.6379)	Prec@1 36.719 (36.711)	Prec@5 71.094 (66.428)
Epoch: [64][2360/7045]	Time 0.151 (0.282)	Data 0.099 (0.218)	Loss 2.6858 (2.6379)	Prec@1 37.891 (36.709)	Prec@5 67.969 (66.426)
Epoch: [64][2370/7045]	Time 0.347 (0.282)	Data 0.296 (0.218)	Loss 2.7483 (2.6379)	Prec@1 33.984 (36.710)	Prec@5 65.234 (66.426)
Epoch: [64][2380/7045]	Time 0.282 (0.282)	Data 0.225 (0.218)	Loss 2.6440 (2.6377)	Prec@1 41.406 (36.712)	Prec@5 64.062 (66.433)
Epoch: [64][2390/7045]	Time 0.793 (0.282)	Data 0.741 (0.219)	Loss 2.4632 (2.6379)	Prec@1 39.062 (36.709)	Prec@5 69.141 (66.430)
Epoch: [64][2400/7045]	Time 0.240 (0.282)	Data 0.188 (0.218)	Loss 2.7498 (2.6379)	Prec@1 34.766 (36.703)	Prec@5 65.625 (66.434)
Epoch: [64][2410/7045]	Time 0.362 (0.282)	Data 0.312 (0.218)	Loss 2.4123 (2.6378)	Prec@1 42.969 (36.705)	Prec@5 71.875 (66.435)
Epoch: [64][2420/7045]	Time 0.101 (0.281)	Data 0.007 (0.218)	Loss 2.6387 (2.6379)	Prec@1 34.766 (36.700)	Prec@5 65.234 (66.436)
Epoch: [64][2430/7045]	Time 0.109 (0.281)	Data 0.057 (0.218)	Loss 2.4892 (2.6377)	Prec@1 42.969 (36.706)	Prec@5 65.234 (66.436)
Epoch: [64][2440/7045]	Time 0.112 (0.281)	Data 0.060 (0.218)	Loss 2.6380 (2.6376)	Prec@1 35.938 (36.703)	Prec@5 64.062 (66.440)
Epoch: [64][2450/7045]	Time 0.104 (0.281)	Data 0.052 (0.218)	Loss 2.4824 (2.6377)	Prec@1 36.719 (36.701)	Prec@5 69.141 (66.438)
Epoch: [64][2460/7045]	Time 0.102 (0.281)	Data 0.047 (0.218)	Loss 2.6443 (2.6377)	Prec@1 40.234 (36.703)	Prec@5 67.188 (66.439)
Epoch: [64][2470/7045]	Time 0.239 (0.281)	Data 0.182 (0.218)	Loss 2.5428 (2.6380)	Prec@1 37.500 (36.700)	Prec@5 69.922 (66.435)
Epoch: [64][2480/7045]	Time 0.235 (0.281)	Data 0.182 (0.218)	Loss 2.7708 (2.6380)	Prec@1 35.938 (36.703)	Prec@5 65.234 (66.438)
Epoch: [64][2490/7045]	Time 0.425 (0.281)	Data 0.373 (0.218)	Loss 2.5714 (2.6375)	Prec@1 38.281 (36.708)	Prec@5 67.578 (66.449)
Epoch: [64][2500/7045]	Time 0.288 (0.281)	Data 0.237 (0.218)	Loss 2.6599 (2.6375)	Prec@1 36.328 (36.706)	Prec@5 64.062 (66.446)
Epoch: [64][2510/7045]	Time 0.489 (0.281)	Data 0.438 (0.218)	Loss 2.5827 (2.6377)	Prec@1 34.766 (36.701)	Prec@5 67.578 (66.441)
Epoch: [64][2520/7045]	Time 0.102 (0.281)	Data 0.008 (0.218)	Loss 2.6066 (2.6375)	Prec@1 36.719 (36.708)	Prec@5 65.625 (66.443)
Epoch: [64][2530/7045]	Time 0.517 (0.281)	Data 0.464 (0.218)	Loss 2.6803 (2.6374)	Prec@1 36.328 (36.710)	Prec@5 66.406 (66.446)
Epoch: [64][2540/7045]	Time 0.226 (0.281)	Data 0.175 (0.217)	Loss 2.7070 (2.6375)	Prec@1 33.594 (36.709)	Prec@5 67.969 (66.446)
Epoch: [64][2550/7045]	Time 0.372 (0.281)	Data 0.321 (0.217)	Loss 2.3902 (2.6374)	Prec@1 41.797 (36.709)	Prec@5 73.047 (66.449)
Epoch: [64][2560/7045]	Time 0.102 (0.281)	Data 0.006 (0.217)	Loss 2.6054 (2.6372)	Prec@1 35.547 (36.712)	Prec@5 66.406 (66.456)
Epoch: [64][2570/7045]	Time 0.100 (0.281)	Data 0.006 (0.218)	Loss 2.5937 (2.6372)	Prec@1 36.719 (36.711)	Prec@5 67.578 (66.455)
Epoch: [64][2580/7045]	Time 0.235 (0.281)	Data 0.185 (0.218)	Loss 2.5959 (2.6372)	Prec@1 35.547 (36.708)	Prec@5 66.797 (66.459)
Epoch: [64][2590/7045]	Time 0.315 (0.281)	Data 0.263 (0.218)	Loss 2.6216 (2.6372)	Prec@1 40.234 (36.711)	Prec@5 67.578 (66.460)
Epoch: [64][2600/7045]	Time 0.257 (0.281)	Data 0.206 (0.218)	Loss 2.4193 (2.6372)	Prec@1 41.016 (36.706)	Prec@5 74.219 (66.461)
Epoch: [64][2610/7045]	Time 0.388 (0.281)	Data 0.337 (0.218)	Loss 2.6831 (2.6371)	Prec@1 36.328 (36.708)	Prec@5 64.844 (66.461)
Epoch: [64][2620/7045]	Time 0.103 (0.281)	Data 0.011 (0.217)	Loss 2.5283 (2.6372)	Prec@1 37.891 (36.712)	Prec@5 68.359 (66.462)
Epoch: [64][2630/7045]	Time 0.555 (0.281)	Data 0.504 (0.217)	Loss 2.5955 (2.6375)	Prec@1 35.938 (36.706)	Prec@5 68.359 (66.457)
Epoch: [64][2640/7045]	Time 0.903 (0.281)	Data 0.851 (0.217)	Loss 2.5821 (2.6373)	Prec@1 42.188 (36.714)	Prec@5 66.016 (66.460)
Epoch: [64][2650/7045]	Time 0.113 (0.281)	Data 0.062 (0.217)	Loss 2.8300 (2.6375)	Prec@1 32.812 (36.710)	Prec@5 62.109 (66.453)
Epoch: [64][2660/7045]	Time 0.668 (0.281)	Data 0.616 (0.218)	Loss 2.4960 (2.6376)	Prec@1 36.719 (36.711)	Prec@5 67.969 (66.450)
Epoch: [64][2670/7045]	Time 0.101 (0.281)	Data 0.001 (0.218)	Loss 2.5515 (2.6377)	Prec@1 37.109 (36.711)	Prec@5 70.312 (66.448)
Epoch: [64][2680/7045]	Time 0.434 (0.281)	Data 0.383 (0.218)	Loss 2.8414 (2.6379)	Prec@1 33.984 (36.706)	Prec@5 60.938 (66.444)
Epoch: [64][2690/7045]	Time 0.647 (0.281)	Data 0.587 (0.218)	Loss 2.6645 (2.6382)	Prec@1 34.766 (36.705)	Prec@5 64.453 (66.439)
Epoch: [64][2700/7045]	Time 0.229 (0.281)	Data 0.177 (0.218)	Loss 2.8037 (2.6383)	Prec@1 33.984 (36.704)	Prec@5 64.062 (66.438)
Epoch: [64][2710/7045]	Time 0.274 (0.281)	Data 0.223 (0.218)	Loss 2.7192 (2.6382)	Prec@1 30.078 (36.701)	Prec@5 65.625 (66.434)
Epoch: [64][2720/7045]	Time 0.112 (0.281)	Data 0.060 (0.217)	Loss 2.4932 (2.6382)	Prec@1 36.719 (36.703)	Prec@5 69.922 (66.440)
Epoch: [64][2730/7045]	Time 0.446 (0.281)	Data 0.396 (0.217)	Loss 2.6548 (2.6382)	Prec@1 37.109 (36.700)	Prec@5 64.844 (66.438)
Epoch: [64][2740/7045]	Time 0.480 (0.281)	Data 0.421 (0.217)	Loss 2.5729 (2.6383)	Prec@1 40.234 (36.696)	Prec@5 69.531 (66.438)
Epoch: [64][2750/7045]	Time 0.175 (0.281)	Data 0.124 (0.218)	Loss 2.6406 (2.6383)	Prec@1 39.062 (36.698)	Prec@5 68.359 (66.440)
Epoch: [64][2760/7045]	Time 0.110 (0.281)	Data 0.058 (0.218)	Loss 2.6036 (2.6384)	Prec@1 36.328 (36.694)	Prec@5 67.969 (66.438)
Epoch: [64][2770/7045]	Time 0.199 (0.281)	Data 0.149 (0.218)	Loss 2.5797 (2.6384)	Prec@1 39.844 (36.695)	Prec@5 67.969 (66.441)
Epoch: [64][2780/7045]	Time 0.173 (0.281)	Data 0.121 (0.217)	Loss 2.6379 (2.6383)	Prec@1 35.938 (36.698)	Prec@5 69.141 (66.443)
Epoch: [64][2790/7045]	Time 0.231 (0.281)	Data 0.174 (0.217)	Loss 2.6674 (2.6383)	Prec@1 34.375 (36.696)	Prec@5 67.578 (66.447)
Epoch: [64][2800/7045]	Time 0.112 (0.281)	Data 0.061 (0.217)	Loss 2.6404 (2.6382)	Prec@1 37.109 (36.701)	Prec@5 64.453 (66.450)
Epoch: [64][2810/7045]	Time 0.414 (0.281)	Data 0.363 (0.217)	Loss 2.5862 (2.6378)	Prec@1 37.109 (36.708)	Prec@5 69.531 (66.460)
Epoch: [64][2820/7045]	Time 0.176 (0.281)	Data 0.118 (0.217)	Loss 2.7323 (2.6378)	Prec@1 33.594 (36.709)	Prec@5 62.891 (66.459)
Epoch: [64][2830/7045]	Time 0.421 (0.281)	Data 0.371 (0.217)	Loss 2.4676 (2.6378)	Prec@1 37.500 (36.707)	Prec@5 69.531 (66.460)
Epoch: [64][2840/7045]	Time 0.104 (0.281)	Data 0.051 (0.218)	Loss 2.5023 (2.6375)	Prec@1 39.453 (36.712)	Prec@5 66.797 (66.459)
Epoch: [64][2850/7045]	Time 0.108 (0.281)	Data 0.005 (0.218)	Loss 2.6881 (2.6376)	Prec@1 33.203 (36.711)	Prec@5 66.797 (66.459)
Epoch: [64][2860/7045]	Time 0.103 (0.281)	Data 0.015 (0.218)	Loss 2.5543 (2.6375)	Prec@1 35.938 (36.708)	Prec@5 66.797 (66.462)
Epoch: [64][2870/7045]	Time 0.301 (0.281)	Data 0.249 (0.218)	Loss 2.6369 (2.6374)	Prec@1 37.891 (36.710)	Prec@5 68.359 (66.464)
Epoch: [64][2880/7045]	Time 0.102 (0.281)	Data 0.001 (0.217)	Loss 2.8043 (2.6377)	Prec@1 33.594 (36.710)	Prec@5 60.938 (66.458)
Epoch: [64][2890/7045]	Time 0.768 (0.281)	Data 0.709 (0.217)	Loss 2.6245 (2.6376)	Prec@1 33.594 (36.709)	Prec@5 67.188 (66.458)
Epoch: [64][2900/7045]	Time 0.107 (0.281)	Data 0.001 (0.217)	Loss 2.5568 (2.6377)	Prec@1 35.547 (36.705)	Prec@5 68.750 (66.458)
Epoch: [64][2910/7045]	Time 2.493 (0.281)	Data 2.442 (0.218)	Loss 2.5949 (2.6376)	Prec@1 38.281 (36.706)	Prec@5 67.578 (66.461)
Epoch: [64][2920/7045]	Time 0.129 (0.281)	Data 0.077 (0.218)	Loss 2.6332 (2.6377)	Prec@1 37.891 (36.700)	Prec@5 63.281 (66.458)
Epoch: [64][2930/7045]	Time 0.248 (0.281)	Data 0.198 (0.218)	Loss 2.6285 (2.6377)	Prec@1 35.938 (36.700)	Prec@5 66.797 (66.458)
Epoch: [64][2940/7045]	Time 0.107 (0.281)	Data 0.001 (0.218)	Loss 2.7378 (2.6379)	Prec@1 37.500 (36.694)	Prec@5 65.234 (66.454)
Epoch: [64][2950/7045]	Time 0.355 (0.281)	Data 0.304 (0.218)	Loss 2.6737 (2.6381)	Prec@1 34.375 (36.692)	Prec@5 65.625 (66.451)
Epoch: [64][2960/7045]	Time 0.522 (0.281)	Data 0.464 (0.218)	Loss 2.6564 (2.6380)	Prec@1 35.156 (36.696)	Prec@5 66.016 (66.453)
Epoch: [64][2970/7045]	Time 0.243 (0.281)	Data 0.193 (0.217)	Loss 2.9389 (2.6381)	Prec@1 33.203 (36.699)	Prec@5 58.984 (66.450)
Epoch: [64][2980/7045]	Time 1.940 (0.281)	Data 1.881 (0.218)	Loss 2.6196 (2.6381)	Prec@1 37.891 (36.702)	Prec@5 63.672 (66.450)
Epoch: [64][2990/7045]	Time 0.161 (0.281)	Data 0.109 (0.218)	Loss 2.5154 (2.6383)	Prec@1 37.109 (36.699)	Prec@5 71.484 (66.451)
Epoch: [64][3000/7045]	Time 0.564 (0.281)	Data 0.513 (0.218)	Loss 2.6025 (2.6383)	Prec@1 39.453 (36.699)	Prec@5 68.359 (66.450)
Epoch: [64][3010/7045]	Time 0.266 (0.281)	Data 0.216 (0.218)	Loss 2.6498 (2.6384)	Prec@1 35.938 (36.698)	Prec@5 67.969 (66.449)
Epoch: [64][3020/7045]	Time 0.255 (0.281)	Data 0.205 (0.217)	Loss 2.6289 (2.6384)	Prec@1 36.719 (36.703)	Prec@5 63.672 (66.449)
Epoch: [64][3030/7045]	Time 0.102 (0.281)	Data 0.012 (0.217)	Loss 2.6209 (2.6384)	Prec@1 36.719 (36.701)	Prec@5 65.625 (66.449)
Epoch: [64][3040/7045]	Time 0.254 (0.281)	Data 0.203 (0.217)	Loss 2.6177 (2.6383)	Prec@1 38.281 (36.707)	Prec@5 66.406 (66.450)
Epoch: [64][3050/7045]	Time 0.380 (0.281)	Data 0.322 (0.217)	Loss 2.9125 (2.6385)	Prec@1 34.375 (36.704)	Prec@5 64.062 (66.446)
Epoch: [64][3060/7045]	Time 0.103 (0.280)	Data 0.004 (0.217)	Loss 2.7808 (2.6385)	Prec@1 32.812 (36.705)	Prec@5 64.453 (66.448)
Epoch: [64][3070/7045]	Time 0.365 (0.280)	Data 0.307 (0.217)	Loss 2.6054 (2.6386)	Prec@1 39.453 (36.701)	Prec@5 65.234 (66.444)
Epoch: [64][3080/7045]	Time 0.102 (0.281)	Data 0.001 (0.217)	Loss 2.8906 (2.6389)	Prec@1 29.688 (36.695)	Prec@5 58.203 (66.439)
Epoch: [64][3090/7045]	Time 0.274 (0.281)	Data 0.214 (0.217)	Loss 2.7808 (2.6390)	Prec@1 37.500 (36.694)	Prec@5 66.797 (66.437)
Epoch: [64][3100/7045]	Time 0.343 (0.280)	Data 0.291 (0.217)	Loss 2.8321 (2.6390)	Prec@1 34.375 (36.695)	Prec@5 64.062 (66.436)
Epoch: [64][3110/7045]	Time 0.358 (0.280)	Data 0.299 (0.217)	Loss 2.6437 (2.6392)	Prec@1 37.109 (36.690)	Prec@5 64.844 (66.431)
Epoch: [64][3120/7045]	Time 0.550 (0.280)	Data 0.500 (0.217)	Loss 2.7051 (2.6393)	Prec@1 35.156 (36.693)	Prec@5 64.453 (66.432)
Epoch: [64][3130/7045]	Time 0.102 (0.280)	Data 0.009 (0.217)	Loss 2.4115 (2.6393)	Prec@1 39.062 (36.696)	Prec@5 68.359 (66.432)
Epoch: [64][3140/7045]	Time 0.660 (0.280)	Data 0.603 (0.217)	Loss 2.9304 (2.6391)	Prec@1 28.906 (36.697)	Prec@5 60.938 (66.434)
Epoch: [64][3150/7045]	Time 0.111 (0.280)	Data 0.059 (0.217)	Loss 2.6728 (2.6393)	Prec@1 35.547 (36.689)	Prec@5 64.844 (66.431)
Epoch: [64][3160/7045]	Time 0.430 (0.280)	Data 0.379 (0.217)	Loss 2.8507 (2.6393)	Prec@1 33.203 (36.691)	Prec@5 57.422 (66.430)
Epoch: [64][3170/7045]	Time 0.217 (0.280)	Data 0.164 (0.217)	Loss 2.5182 (2.6393)	Prec@1 42.578 (36.690)	Prec@5 69.922 (66.432)
Epoch: [64][3180/7045]	Time 0.332 (0.280)	Data 0.281 (0.217)	Loss 2.5011 (2.6394)	Prec@1 36.719 (36.685)	Prec@5 67.578 (66.432)
Epoch: [64][3190/7045]	Time 0.108 (0.280)	Data 0.055 (0.217)	Loss 2.4265 (2.6390)	Prec@1 40.234 (36.692)	Prec@5 67.188 (66.437)
Epoch: [64][3200/7045]	Time 0.102 (0.280)	Data 0.001 (0.217)	Loss 2.8120 (2.6390)	Prec@1 33.203 (36.691)	Prec@5 62.891 (66.434)
Epoch: [64][3210/7045]	Time 0.111 (0.280)	Data 0.061 (0.217)	Loss 2.8061 (2.6391)	Prec@1 31.641 (36.691)	Prec@5 63.672 (66.434)
Epoch: [64][3220/7045]	Time 0.178 (0.280)	Data 0.126 (0.217)	Loss 2.7241 (2.6391)	Prec@1 35.156 (36.691)	Prec@5 66.797 (66.433)
Epoch: [64][3230/7045]	Time 0.529 (0.280)	Data 0.478 (0.217)	Loss 2.4240 (2.6391)	Prec@1 39.453 (36.690)	Prec@5 70.703 (66.434)
Epoch: [64][3240/7045]	Time 0.107 (0.280)	Data 0.007 (0.217)	Loss 2.5691 (2.6390)	Prec@1 37.500 (36.690)	Prec@5 66.797 (66.434)
Epoch: [64][3250/7045]	Time 0.651 (0.280)	Data 0.591 (0.217)	Loss 2.6702 (2.6390)	Prec@1 38.281 (36.687)	Prec@5 63.281 (66.431)
Epoch: [64][3260/7045]	Time 0.102 (0.280)	Data 0.001 (0.217)	Loss 2.6634 (2.6392)	Prec@1 38.672 (36.688)	Prec@5 67.188 (66.429)
Epoch: [64][3270/7045]	Time 0.484 (0.280)	Data 0.432 (0.217)	Loss 2.6016 (2.6392)	Prec@1 33.594 (36.682)	Prec@5 67.969 (66.428)
Epoch: [64][3280/7045]	Time 0.104 (0.280)	Data 0.052 (0.217)	Loss 2.9044 (2.6393)	Prec@1 32.812 (36.684)	Prec@5 61.719 (66.427)
Epoch: [64][3290/7045]	Time 0.221 (0.280)	Data 0.169 (0.217)	Loss 2.4982 (2.6394)	Prec@1 42.188 (36.682)	Prec@5 69.141 (66.422)
Epoch: [64][3300/7045]	Time 0.263 (0.280)	Data 0.212 (0.217)	Loss 2.6228 (2.6395)	Prec@1 36.719 (36.680)	Prec@5 67.188 (66.421)
Epoch: [64][3310/7045]	Time 0.102 (0.280)	Data 0.006 (0.217)	Loss 2.5471 (2.6395)	Prec@1 39.453 (36.680)	Prec@5 68.359 (66.420)
Epoch: [64][3320/7045]	Time 0.543 (0.280)	Data 0.491 (0.217)	Loss 2.4597 (2.6394)	Prec@1 40.625 (36.682)	Prec@5 70.312 (66.421)
Epoch: [64][3330/7045]	Time 0.100 (0.280)	Data 0.048 (0.216)	Loss 2.6731 (2.6394)	Prec@1 35.938 (36.686)	Prec@5 67.969 (66.420)
Epoch: [64][3340/7045]	Time 0.187 (0.280)	Data 0.135 (0.216)	Loss 2.8159 (2.6394)	Prec@1 33.594 (36.685)	Prec@5 61.328 (66.420)
Epoch: [64][3350/7045]	Time 0.495 (0.280)	Data 0.444 (0.217)	Loss 2.5788 (2.6394)	Prec@1 38.672 (36.686)	Prec@5 67.578 (66.418)
Epoch: [64][3360/7045]	Time 0.301 (0.280)	Data 0.249 (0.217)	Loss 2.6240 (2.6395)	Prec@1 35.938 (36.683)	Prec@5 64.062 (66.416)
Epoch: [64][3370/7045]	Time 0.113 (0.280)	Data 0.060 (0.217)	Loss 2.8034 (2.6393)	Prec@1 35.156 (36.689)	Prec@5 60.547 (66.415)
Epoch: [64][3380/7045]	Time 0.236 (0.280)	Data 0.184 (0.217)	Loss 2.6593 (2.6395)	Prec@1 30.859 (36.681)	Prec@5 65.625 (66.413)
Epoch: [64][3390/7045]	Time 0.378 (0.280)	Data 0.327 (0.217)	Loss 2.6483 (2.6395)	Prec@1 35.156 (36.678)	Prec@5 66.016 (66.412)
Epoch: [64][3400/7045]	Time 0.109 (0.280)	Data 0.057 (0.217)	Loss 2.6628 (2.6395)	Prec@1 33.594 (36.677)	Prec@5 65.234 (66.412)
Epoch: [64][3410/7045]	Time 0.265 (0.280)	Data 0.214 (0.217)	Loss 2.6041 (2.6395)	Prec@1 36.328 (36.675)	Prec@5 70.312 (66.413)
Epoch: [64][3420/7045]	Time 0.190 (0.280)	Data 0.133 (0.217)	Loss 2.7608 (2.6396)	Prec@1 32.031 (36.676)	Prec@5 64.453 (66.412)
Epoch: [64][3430/7045]	Time 0.405 (0.280)	Data 0.353 (0.217)	Loss 2.6561 (2.6395)	Prec@1 35.156 (36.676)	Prec@5 66.406 (66.410)
Epoch: [64][3440/7045]	Time 0.104 (0.280)	Data 0.052 (0.217)	Loss 2.7559 (2.6394)	Prec@1 35.547 (36.679)	Prec@5 63.672 (66.413)
Epoch: [64][3450/7045]	Time 0.143 (0.280)	Data 0.091 (0.216)	Loss 2.6610 (2.6393)	Prec@1 38.672 (36.684)	Prec@5 66.016 (66.416)
Epoch: [64][3460/7045]	Time 0.733 (0.280)	Data 0.683 (0.217)	Loss 2.5801 (2.6393)	Prec@1 33.984 (36.682)	Prec@5 66.797 (66.417)
Epoch: [64][3470/7045]	Time 0.112 (0.279)	Data 0.060 (0.216)	Loss 2.7692 (2.6394)	Prec@1 35.547 (36.680)	Prec@5 64.844 (66.416)
Epoch: [64][3480/7045]	Time 0.280 (0.279)	Data 0.229 (0.216)	Loss 2.8082 (2.6394)	Prec@1 35.156 (36.683)	Prec@5 58.594 (66.416)
Epoch: [64][3490/7045]	Time 0.102 (0.279)	Data 0.003 (0.216)	Loss 2.9041 (2.6394)	Prec@1 34.375 (36.684)	Prec@5 60.547 (66.415)
Epoch: [64][3500/7045]	Time 0.101 (0.279)	Data 0.007 (0.216)	Loss 2.8053 (2.6392)	Prec@1 34.375 (36.685)	Prec@5 61.328 (66.420)
Epoch: [64][3510/7045]	Time 0.102 (0.279)	Data 0.001 (0.216)	Loss 2.7760 (2.6394)	Prec@1 31.250 (36.679)	Prec@5 61.719 (66.415)
Epoch: [64][3520/7045]	Time 0.203 (0.279)	Data 0.150 (0.216)	Loss 2.8945 (2.6397)	Prec@1 36.328 (36.675)	Prec@5 65.234 (66.412)
Epoch: [64][3530/7045]	Time 0.104 (0.279)	Data 0.052 (0.216)	Loss 2.8467 (2.6397)	Prec@1 33.984 (36.675)	Prec@5 62.109 (66.413)
Epoch: [64][3540/7045]	Time 0.447 (0.279)	Data 0.389 (0.216)	Loss 2.6863 (2.6397)	Prec@1 33.594 (36.672)	Prec@5 65.234 (66.413)
Epoch: [64][3550/7045]	Time 0.108 (0.279)	Data 0.055 (0.216)	Loss 2.7118 (2.6397)	Prec@1 32.812 (36.669)	Prec@5 66.016 (66.413)
Epoch: [64][3560/7045]	Time 0.568 (0.279)	Data 0.516 (0.216)	Loss 2.6666 (2.6398)	Prec@1 35.547 (36.668)	Prec@5 65.234 (66.415)
Epoch: [64][3570/7045]	Time 0.103 (0.279)	Data 0.005 (0.216)	Loss 2.6536 (2.6398)	Prec@1 33.594 (36.665)	Prec@5 66.797 (66.415)
Epoch: [64][3580/7045]	Time 0.101 (0.279)	Data 0.008 (0.216)	Loss 2.5441 (2.6397)	Prec@1 37.109 (36.668)	Prec@5 71.094 (66.418)
Epoch: [64][3590/7045]	Time 0.101 (0.279)	Data 0.045 (0.216)	Loss 2.7503 (2.6398)	Prec@1 37.891 (36.669)	Prec@5 63.281 (66.417)
Epoch: [64][3600/7045]	Time 0.379 (0.279)	Data 0.328 (0.216)	Loss 2.6553 (2.6397)	Prec@1 37.109 (36.670)	Prec@5 64.844 (66.419)
Epoch: [64][3610/7045]	Time 0.136 (0.279)	Data 0.083 (0.216)	Loss 2.8124 (2.6398)	Prec@1 33.594 (36.668)	Prec@5 61.719 (66.413)
Epoch: [64][3620/7045]	Time 0.330 (0.279)	Data 0.279 (0.216)	Loss 2.6102 (2.6397)	Prec@1 36.719 (36.670)	Prec@5 70.703 (66.415)
Epoch: [64][3630/7045]	Time 0.200 (0.279)	Data 0.148 (0.216)	Loss 2.4966 (2.6398)	Prec@1 39.844 (36.670)	Prec@5 65.625 (66.410)
Epoch: [64][3640/7045]	Time 0.262 (0.279)	Data 0.210 (0.216)	Loss 2.6586 (2.6397)	Prec@1 38.281 (36.672)	Prec@5 64.844 (66.408)
Epoch: [64][3650/7045]	Time 0.249 (0.279)	Data 0.197 (0.216)	Loss 2.5147 (2.6396)	Prec@1 40.234 (36.671)	Prec@5 66.016 (66.407)
Epoch: [64][3660/7045]	Time 0.162 (0.279)	Data 0.110 (0.216)	Loss 2.6047 (2.6395)	Prec@1 38.672 (36.675)	Prec@5 67.969 (66.410)
Epoch: [64][3670/7045]	Time 0.301 (0.279)	Data 0.250 (0.216)	Loss 2.5129 (2.6396)	Prec@1 37.109 (36.674)	Prec@5 67.578 (66.407)
Epoch: [64][3680/7045]	Time 0.108 (0.279)	Data 0.001 (0.216)	Loss 2.5993 (2.6396)	Prec@1 34.375 (36.672)	Prec@5 67.969 (66.411)
Epoch: [64][3690/7045]	Time 0.200 (0.279)	Data 0.148 (0.216)	Loss 2.5413 (2.6396)	Prec@1 35.156 (36.673)	Prec@5 69.141 (66.413)
Epoch: [64][3700/7045]	Time 0.326 (0.279)	Data 0.274 (0.216)	Loss 2.6349 (2.6395)	Prec@1 37.500 (36.675)	Prec@5 68.359 (66.416)
Epoch: [64][3710/7045]	Time 0.141 (0.279)	Data 0.083 (0.216)	Loss 2.6891 (2.6396)	Prec@1 37.891 (36.674)	Prec@5 64.062 (66.412)
Epoch: [64][3720/7045]	Time 0.640 (0.279)	Data 0.580 (0.216)	Loss 2.6822 (2.6396)	Prec@1 34.375 (36.674)	Prec@5 67.969 (66.414)
Epoch: [64][3730/7045]	Time 0.162 (0.279)	Data 0.112 (0.216)	Loss 2.8362 (2.6396)	Prec@1 32.031 (36.676)	Prec@5 59.375 (66.415)
Epoch: [64][3740/7045]	Time 0.305 (0.279)	Data 0.254 (0.216)	Loss 2.6204 (2.6396)	Prec@1 37.891 (36.673)	Prec@5 67.188 (66.416)
Epoch: [64][3750/7045]	Time 0.101 (0.279)	Data 0.006 (0.216)	Loss 2.7549 (2.6396)	Prec@1 33.984 (36.671)	Prec@5 63.672 (66.415)
Epoch: [64][3760/7045]	Time 0.111 (0.279)	Data 0.059 (0.216)	Loss 2.5778 (2.6396)	Prec@1 39.844 (36.672)	Prec@5 66.016 (66.414)
Epoch: [64][3770/7045]	Time 0.302 (0.279)	Data 0.250 (0.216)	Loss 2.5299 (2.6394)	Prec@1 40.625 (36.678)	Prec@5 67.578 (66.418)
Epoch: [64][3780/7045]	Time 0.262 (0.279)	Data 0.211 (0.216)	Loss 2.6223 (2.6393)	Prec@1 38.672 (36.679)	Prec@5 64.062 (66.417)
Epoch: [64][3790/7045]	Time 0.145 (0.279)	Data 0.095 (0.216)	Loss 2.4592 (2.6391)	Prec@1 41.016 (36.684)	Prec@5 69.141 (66.421)
Epoch: [64][3800/7045]	Time 0.102 (0.279)	Data 0.001 (0.216)	Loss 2.6098 (2.6391)	Prec@1 36.719 (36.689)	Prec@5 70.703 (66.421)
Epoch: [64][3810/7045]	Time 0.102 (0.279)	Data 0.006 (0.216)	Loss 2.7411 (2.6391)	Prec@1 34.766 (36.687)	Prec@5 63.281 (66.420)
Epoch: [64][3820/7045]	Time 0.119 (0.279)	Data 0.067 (0.216)	Loss 2.8692 (2.6391)	Prec@1 35.938 (36.689)	Prec@5 60.547 (66.418)
Epoch: [64][3830/7045]	Time 0.103 (0.279)	Data 0.001 (0.216)	Loss 2.6057 (2.6392)	Prec@1 34.375 (36.687)	Prec@5 69.141 (66.416)
Epoch: [64][3840/7045]	Time 0.393 (0.279)	Data 0.340 (0.216)	Loss 2.6086 (2.6392)	Prec@1 35.547 (36.689)	Prec@5 65.625 (66.417)
Epoch: [64][3850/7045]	Time 0.112 (0.279)	Data 0.060 (0.216)	Loss 2.6280 (2.6392)	Prec@1 33.203 (36.685)	Prec@5 66.406 (66.416)
Epoch: [64][3860/7045]	Time 0.110 (0.279)	Data 0.057 (0.216)	Loss 2.5977 (2.6391)	Prec@1 37.109 (36.681)	Prec@5 67.969 (66.418)
Epoch: [64][3870/7045]	Time 0.215 (0.279)	Data 0.163 (0.216)	Loss 2.5389 (2.6389)	Prec@1 41.016 (36.686)	Prec@5 72.266 (66.419)
Epoch: [64][3880/7045]	Time 0.111 (0.279)	Data 0.058 (0.216)	Loss 2.5840 (2.6389)	Prec@1 39.453 (36.686)	Prec@5 67.188 (66.421)
Epoch: [64][3890/7045]	Time 0.101 (0.279)	Data 0.001 (0.216)	Loss 2.9542 (2.6389)	Prec@1 30.859 (36.687)	Prec@5 61.328 (66.420)
Epoch: [64][3900/7045]	Time 0.311 (0.279)	Data 0.259 (0.216)	Loss 2.5201 (2.6388)	Prec@1 38.281 (36.688)	Prec@5 67.578 (66.421)
Epoch: [64][3910/7045]	Time 0.103 (0.279)	Data 0.001 (0.216)	Loss 2.7169 (2.6389)	Prec@1 34.766 (36.684)	Prec@5 61.719 (66.417)
Epoch: [64][3920/7045]	Time 0.102 (0.279)	Data 0.006 (0.216)	Loss 2.6459 (2.6389)	Prec@1 35.156 (36.682)	Prec@5 65.234 (66.418)
Epoch: [64][3930/7045]	Time 0.145 (0.279)	Data 0.093 (0.216)	Loss 2.6627 (2.6390)	Prec@1 38.672 (36.681)	Prec@5 64.062 (66.416)
Epoch: [64][3940/7045]	Time 0.258 (0.279)	Data 0.207 (0.216)	Loss 2.4835 (2.6389)	Prec@1 39.844 (36.683)	Prec@5 68.359 (66.419)
Epoch: [64][3950/7045]	Time 0.156 (0.279)	Data 0.104 (0.216)	Loss 2.7733 (2.6389)	Prec@1 30.859 (36.682)	Prec@5 65.625 (66.419)
Epoch: [64][3960/7045]	Time 0.107 (0.279)	Data 0.001 (0.216)	Loss 2.6175 (2.6389)	Prec@1 38.672 (36.683)	Prec@5 66.016 (66.424)
Epoch: [64][3970/7045]	Time 0.102 (0.279)	Data 0.001 (0.216)	Loss 2.7951 (2.6388)	Prec@1 30.469 (36.686)	Prec@5 60.547 (66.425)
Epoch: [64][3980/7045]	Time 0.101 (0.279)	Data 0.009 (0.216)	Loss 2.6150 (2.6387)	Prec@1 37.109 (36.686)	Prec@5 66.797 (66.428)
Epoch: [64][3990/7045]	Time 0.193 (0.279)	Data 0.142 (0.216)	Loss 2.5187 (2.6386)	Prec@1 36.328 (36.689)	Prec@5 70.312 (66.429)
Epoch: [64][4000/7045]	Time 0.103 (0.278)	Data 0.003 (0.216)	Loss 2.5017 (2.6388)	Prec@1 42.188 (36.684)	Prec@5 67.969 (66.426)
Epoch: [64][4010/7045]	Time 0.153 (0.278)	Data 0.101 (0.216)	Loss 2.6057 (2.6388)	Prec@1 33.594 (36.685)	Prec@5 66.016 (66.423)
Epoch: [64][4020/7045]	Time 0.154 (0.278)	Data 0.101 (0.215)	Loss 2.6393 (2.6388)	Prec@1 40.625 (36.688)	Prec@5 66.016 (66.423)
Epoch: [64][4030/7045]	Time 0.242 (0.278)	Data 0.186 (0.215)	Loss 2.8069 (2.6390)	Prec@1 26.562 (36.685)	Prec@5 64.062 (66.420)
Epoch: [64][4040/7045]	Time 0.465 (0.278)	Data 0.413 (0.215)	Loss 2.6198 (2.6390)	Prec@1 34.375 (36.682)	Prec@5 67.188 (66.419)
Epoch: [64][4050/7045]	Time 0.102 (0.278)	Data 0.001 (0.216)	Loss 2.4770 (2.6389)	Prec@1 37.891 (36.684)	Prec@5 69.922 (66.420)
Epoch: [64][4060/7045]	Time 0.148 (0.278)	Data 0.097 (0.215)	Loss 2.5026 (2.6389)	Prec@1 42.578 (36.684)	Prec@5 69.141 (66.420)
Epoch: [64][4070/7045]	Time 0.300 (0.278)	Data 0.248 (0.215)	Loss 2.5642 (2.6390)	Prec@1 38.672 (36.682)	Prec@5 69.141 (66.417)
Epoch: [64][4080/7045]	Time 0.102 (0.278)	Data 0.001 (0.215)	Loss 2.7634 (2.6389)	Prec@1 33.594 (36.684)	Prec@5 66.016 (66.420)
Epoch: [64][4090/7045]	Time 0.437 (0.278)	Data 0.386 (0.215)	Loss 2.6255 (2.6388)	Prec@1 33.594 (36.686)	Prec@5 66.406 (66.423)
Epoch: [64][4100/7045]	Time 0.452 (0.278)	Data 0.400 (0.215)	Loss 2.6428 (2.6387)	Prec@1 35.938 (36.686)	Prec@5 64.062 (66.423)
Epoch: [64][4110/7045]	Time 0.140 (0.278)	Data 0.089 (0.215)	Loss 2.4511 (2.6388)	Prec@1 41.797 (36.683)	Prec@5 68.359 (66.421)
Epoch: [64][4120/7045]	Time 0.161 (0.278)	Data 0.110 (0.215)	Loss 2.6389 (2.6388)	Prec@1 35.938 (36.682)	Prec@5 66.797 (66.421)
Epoch: [64][4130/7045]	Time 0.355 (0.278)	Data 0.305 (0.215)	Loss 2.7488 (2.6389)	Prec@1 37.109 (36.679)	Prec@5 63.672 (66.419)
Epoch: [64][4140/7045]	Time 0.102 (0.278)	Data 0.001 (0.215)	Loss 2.5059 (2.6389)	Prec@1 42.578 (36.681)	Prec@5 66.797 (66.421)
Epoch: [64][4150/7045]	Time 0.572 (0.278)	Data 0.520 (0.215)	Loss 2.4679 (2.6389)	Prec@1 42.188 (36.683)	Prec@5 69.922 (66.421)
Epoch: [64][4160/7045]	Time 0.388 (0.278)	Data 0.338 (0.215)	Loss 2.8798 (2.6391)	Prec@1 33.203 (36.683)	Prec@5 58.594 (66.419)
Epoch: [64][4170/7045]	Time 0.277 (0.278)	Data 0.224 (0.215)	Loss 2.4833 (2.6390)	Prec@1 41.016 (36.684)	Prec@5 72.656 (66.422)
Epoch: [64][4180/7045]	Time 0.102 (0.278)	Data 0.003 (0.215)	Loss 2.6464 (2.6391)	Prec@1 32.422 (36.684)	Prec@5 70.703 (66.422)
Epoch: [64][4190/7045]	Time 0.113 (0.278)	Data 0.062 (0.215)	Loss 2.6474 (2.6390)	Prec@1 39.062 (36.684)	Prec@5 67.578 (66.425)
Epoch: [64][4200/7045]	Time 0.104 (0.277)	Data 0.001 (0.215)	Loss 2.5480 (2.6390)	Prec@1 38.672 (36.684)	Prec@5 68.750 (66.428)
Epoch: [64][4210/7045]	Time 0.105 (0.277)	Data 0.003 (0.215)	Loss 2.6920 (2.6390)	Prec@1 33.594 (36.684)	Prec@5 65.625 (66.429)
Epoch: [64][4220/7045]	Time 0.120 (0.277)	Data 0.069 (0.214)	Loss 2.7781 (2.6391)	Prec@1 35.156 (36.685)	Prec@5 63.672 (66.428)
Epoch: [64][4230/7045]	Time 0.100 (0.277)	Data 0.046 (0.214)	Loss 2.6519 (2.6391)	Prec@1 39.453 (36.683)	Prec@5 63.672 (66.426)
Epoch: [64][4240/7045]	Time 0.101 (0.277)	Data 0.001 (0.214)	Loss 2.6137 (2.6391)	Prec@1 36.719 (36.681)	Prec@5 66.016 (66.426)
Epoch: [64][4250/7045]	Time 0.101 (0.278)	Data 0.046 (0.215)	Loss 2.5112 (2.6391)	Prec@1 41.797 (36.680)	Prec@5 71.094 (66.425)
Epoch: [64][4260/7045]	Time 0.265 (0.278)	Data 0.214 (0.215)	Loss 2.6774 (2.6391)	Prec@1 36.719 (36.680)	Prec@5 66.016 (66.427)
Epoch: [64][4270/7045]	Time 0.241 (0.277)	Data 0.191 (0.215)	Loss 2.5417 (2.6389)	Prec@1 41.016 (36.685)	Prec@5 67.969 (66.430)
Epoch: [64][4280/7045]	Time 0.101 (0.277)	Data 0.001 (0.214)	Loss 2.6481 (2.6390)	Prec@1 41.406 (36.687)	Prec@5 66.406 (66.428)
Epoch: [64][4290/7045]	Time 0.301 (0.277)	Data 0.249 (0.214)	Loss 2.6629 (2.6390)	Prec@1 40.625 (36.687)	Prec@5 67.188 (66.425)
Epoch: [64][4300/7045]	Time 0.239 (0.277)	Data 0.188 (0.214)	Loss 2.6994 (2.6390)	Prec@1 35.938 (36.686)	Prec@5 64.844 (66.424)
Epoch: [64][4310/7045]	Time 0.344 (0.277)	Data 0.292 (0.214)	Loss 2.4386 (2.6389)	Prec@1 39.453 (36.688)	Prec@5 71.484 (66.427)
Epoch: [64][4320/7045]	Time 0.103 (0.277)	Data 0.005 (0.215)	Loss 2.6141 (2.6389)	Prec@1 35.547 (36.686)	Prec@5 66.406 (66.426)
Epoch: [64][4330/7045]	Time 0.108 (0.277)	Data 0.057 (0.214)	Loss 2.7539 (2.6390)	Prec@1 29.297 (36.684)	Prec@5 60.156 (66.424)
Epoch: [64][4340/7045]	Time 0.110 (0.277)	Data 0.007 (0.214)	Loss 2.6185 (2.6391)	Prec@1 36.328 (36.681)	Prec@5 64.062 (66.421)
Epoch: [64][4350/7045]	Time 0.107 (0.277)	Data 0.056 (0.214)	Loss 2.6897 (2.6392)	Prec@1 37.109 (36.682)	Prec@5 66.406 (66.421)
Epoch: [64][4360/7045]	Time 0.129 (0.277)	Data 0.067 (0.214)	Loss 2.6627 (2.6392)	Prec@1 35.156 (36.682)	Prec@5 63.281 (66.420)
Epoch: [64][4370/7045]	Time 0.110 (0.277)	Data 0.058 (0.214)	Loss 2.6361 (2.6391)	Prec@1 37.891 (36.685)	Prec@5 64.844 (66.420)
Epoch: [64][4380/7045]	Time 0.102 (0.277)	Data 0.010 (0.214)	Loss 2.7893 (2.6392)	Prec@1 37.109 (36.685)	Prec@5 66.016 (66.420)
Epoch: [64][4390/7045]	Time 0.240 (0.277)	Data 0.190 (0.214)	Loss 2.7241 (2.6391)	Prec@1 37.109 (36.686)	Prec@5 64.844 (66.423)
Epoch: [64][4400/7045]	Time 0.101 (0.277)	Data 0.007 (0.214)	Loss 2.7689 (2.6392)	Prec@1 34.375 (36.685)	Prec@5 64.844 (66.422)
Epoch: [64][4410/7045]	Time 0.470 (0.277)	Data 0.419 (0.214)	Loss 2.7303 (2.6392)	Prec@1 33.594 (36.685)	Prec@5 62.891 (66.421)
Epoch: [64][4420/7045]	Time 0.101 (0.277)	Data 0.008 (0.214)	Loss 2.3964 (2.6392)	Prec@1 41.797 (36.683)	Prec@5 71.484 (66.419)
Epoch: [64][4430/7045]	Time 0.696 (0.277)	Data 0.646 (0.214)	Loss 2.8465 (2.6390)	Prec@1 33.984 (36.686)	Prec@5 63.281 (66.422)
Epoch: [64][4440/7045]	Time 0.101 (0.277)	Data 0.001 (0.214)	Loss 2.8347 (2.6391)	Prec@1 33.984 (36.687)	Prec@5 63.672 (66.421)
Epoch: [64][4450/7045]	Time 0.634 (0.277)	Data 0.576 (0.214)	Loss 2.8342 (2.6391)	Prec@1 33.203 (36.686)	Prec@5 65.234 (66.421)
Epoch: [64][4460/7045]	Time 0.102 (0.277)	Data 0.001 (0.213)	Loss 2.7953 (2.6391)	Prec@1 33.594 (36.685)	Prec@5 64.844 (66.422)
Epoch: [64][4470/7045]	Time 1.488 (0.277)	Data 1.436 (0.213)	Loss 2.3847 (2.6389)	Prec@1 39.844 (36.686)	Prec@5 71.875 (66.426)
Epoch: [64][4480/7045]	Time 0.102 (0.277)	Data 0.004 (0.213)	Loss 2.6778 (2.6388)	Prec@1 28.906 (36.686)	Prec@5 67.969 (66.431)
Epoch: [64][4490/7045]	Time 0.581 (0.277)	Data 0.530 (0.213)	Loss 2.6801 (2.6389)	Prec@1 35.156 (36.684)	Prec@5 63.672 (66.431)
Epoch: [64][4500/7045]	Time 0.101 (0.276)	Data 0.001 (0.213)	Loss 2.7138 (2.6389)	Prec@1 33.203 (36.682)	Prec@5 62.500 (66.430)
Epoch: [64][4510/7045]	Time 0.807 (0.276)	Data 0.754 (0.213)	Loss 2.4609 (2.6388)	Prec@1 42.969 (36.684)	Prec@5 68.359 (66.432)
Epoch: [64][4520/7045]	Time 0.101 (0.276)	Data 0.001 (0.213)	Loss 2.4566 (2.6387)	Prec@1 38.672 (36.687)	Prec@5 69.141 (66.433)
Epoch: [64][4530/7045]	Time 0.428 (0.276)	Data 0.378 (0.213)	Loss 2.5156 (2.6386)	Prec@1 37.891 (36.690)	Prec@5 70.703 (66.437)
Epoch: [64][4540/7045]	Time 0.217 (0.276)	Data 0.165 (0.213)	Loss 2.4872 (2.6386)	Prec@1 41.797 (36.693)	Prec@5 67.969 (66.438)
Epoch: [64][4550/7045]	Time 0.278 (0.276)	Data 0.226 (0.213)	Loss 2.6002 (2.6385)	Prec@1 35.547 (36.693)	Prec@5 67.969 (66.441)
Epoch: [64][4560/7045]	Time 0.638 (0.276)	Data 0.586 (0.213)	Loss 2.8369 (2.6385)	Prec@1 32.812 (36.691)	Prec@5 62.500 (66.440)
Epoch: [64][4570/7045]	Time 0.101 (0.276)	Data 0.001 (0.212)	Loss 2.7156 (2.6386)	Prec@1 32.422 (36.690)	Prec@5 65.625 (66.439)
Epoch: [64][4580/7045]	Time 0.581 (0.276)	Data 0.529 (0.212)	Loss 2.5605 (2.6386)	Prec@1 37.500 (36.689)	Prec@5 68.750 (66.438)
Epoch: [64][4590/7045]	Time 0.107 (0.276)	Data 0.047 (0.212)	Loss 2.5867 (2.6386)	Prec@1 31.250 (36.686)	Prec@5 66.797 (66.441)
Epoch: [64][4600/7045]	Time 0.670 (0.276)	Data 0.611 (0.212)	Loss 2.7792 (2.6388)	Prec@1 35.938 (36.684)	Prec@5 65.625 (66.437)
Epoch: [64][4610/7045]	Time 0.112 (0.276)	Data 0.054 (0.212)	Loss 2.4038 (2.6387)	Prec@1 42.578 (36.684)	Prec@5 71.875 (66.441)
Epoch: [64][4620/7045]	Time 0.703 (0.276)	Data 0.652 (0.212)	Loss 2.6973 (2.6387)	Prec@1 33.203 (36.685)	Prec@5 63.281 (66.442)
Epoch: [64][4630/7045]	Time 0.102 (0.275)	Data 0.001 (0.212)	Loss 2.5255 (2.6387)	Prec@1 43.359 (36.684)	Prec@5 67.188 (66.442)
Epoch: [64][4640/7045]	Time 0.648 (0.275)	Data 0.597 (0.212)	Loss 2.6148 (2.6387)	Prec@1 33.984 (36.686)	Prec@5 67.188 (66.443)
Epoch: [64][4650/7045]	Time 0.102 (0.275)	Data 0.008 (0.212)	Loss 2.6468 (2.6388)	Prec@1 38.281 (36.684)	Prec@5 66.406 (66.441)
Epoch: [64][4660/7045]	Time 0.619 (0.275)	Data 0.568 (0.212)	Loss 2.6650 (2.6389)	Prec@1 33.984 (36.681)	Prec@5 65.234 (66.441)
Epoch: [64][4670/7045]	Time 0.100 (0.275)	Data 0.001 (0.212)	Loss 2.7892 (2.6389)	Prec@1 28.906 (36.679)	Prec@5 64.453 (66.442)
Epoch: [64][4680/7045]	Time 0.102 (0.275)	Data 0.005 (0.212)	Loss 2.6097 (2.6390)	Prec@1 33.984 (36.676)	Prec@5 71.484 (66.440)
Epoch: [64][4690/7045]	Time 0.102 (0.275)	Data 0.004 (0.211)	Loss 2.5966 (2.6390)	Prec@1 38.281 (36.677)	Prec@5 67.969 (66.440)
Epoch: [64][4700/7045]	Time 0.115 (0.275)	Data 0.058 (0.211)	Loss 2.6281 (2.6389)	Prec@1 35.547 (36.680)	Prec@5 65.625 (66.440)
Epoch: [64][4710/7045]	Time 0.102 (0.275)	Data 0.005 (0.211)	Loss 2.5081 (2.6388)	Prec@1 39.453 (36.681)	Prec@5 69.141 (66.443)
Epoch: [64][4720/7045]	Time 0.108 (0.275)	Data 0.009 (0.211)	Loss 2.8198 (2.6387)	Prec@1 33.984 (36.682)	Prec@5 66.797 (66.444)
Epoch: [64][4730/7045]	Time 0.101 (0.275)	Data 0.011 (0.211)	Loss 2.5095 (2.6387)	Prec@1 37.109 (36.680)	Prec@5 69.922 (66.443)
Epoch: [64][4740/7045]	Time 0.109 (0.275)	Data 0.057 (0.211)	Loss 2.5921 (2.6387)	Prec@1 39.062 (36.680)	Prec@5 62.500 (66.442)
Epoch: [64][4750/7045]	Time 0.628 (0.275)	Data 0.571 (0.211)	Loss 2.4916 (2.6386)	Prec@1 38.672 (36.680)	Prec@5 70.703 (66.444)
Epoch: [64][4760/7045]	Time 0.103 (0.275)	Data 0.051 (0.211)	Loss 2.6007 (2.6387)	Prec@1 38.281 (36.680)	Prec@5 66.016 (66.444)
Epoch: [64][4770/7045]	Time 0.567 (0.275)	Data 0.515 (0.211)	Loss 2.7023 (2.6388)	Prec@1 33.984 (36.678)	Prec@5 65.625 (66.444)
Epoch: [64][4780/7045]	Time 0.108 (0.275)	Data 0.051 (0.211)	Loss 2.6132 (2.6388)	Prec@1 36.328 (36.678)	Prec@5 64.844 (66.443)
Epoch: [64][4790/7045]	Time 0.535 (0.275)	Data 0.483 (0.211)	Loss 2.5695 (2.6388)	Prec@1 39.453 (36.677)	Prec@5 68.750 (66.444)
Epoch: [64][4800/7045]	Time 0.109 (0.274)	Data 0.058 (0.211)	Loss 2.7164 (2.6387)	Prec@1 34.375 (36.680)	Prec@5 66.016 (66.446)
Epoch: [64][4810/7045]	Time 0.456 (0.274)	Data 0.406 (0.211)	Loss 2.6420 (2.6388)	Prec@1 36.719 (36.678)	Prec@5 67.188 (66.443)
Epoch: [64][4820/7045]	Time 0.108 (0.274)	Data 0.051 (0.211)	Loss 2.6419 (2.6388)	Prec@1 41.016 (36.680)	Prec@5 68.359 (66.446)
Epoch: [64][4830/7045]	Time 0.504 (0.274)	Data 0.454 (0.210)	Loss 2.4384 (2.6386)	Prec@1 39.453 (36.683)	Prec@5 69.141 (66.449)
Epoch: [64][4840/7045]	Time 0.243 (0.274)	Data 0.193 (0.210)	Loss 2.9776 (2.6387)	Prec@1 32.812 (36.683)	Prec@5 61.719 (66.449)
Epoch: [64][4850/7045]	Time 0.369 (0.274)	Data 0.318 (0.210)	Loss 2.7080 (2.6387)	Prec@1 34.766 (36.685)	Prec@5 66.016 (66.446)
Epoch: [64][4860/7045]	Time 0.202 (0.274)	Data 0.150 (0.210)	Loss 2.6609 (2.6387)	Prec@1 34.375 (36.684)	Prec@5 64.453 (66.448)
Epoch: [64][4870/7045]	Time 0.111 (0.274)	Data 0.059 (0.210)	Loss 2.8428 (2.6387)	Prec@1 34.375 (36.685)	Prec@5 61.328 (66.447)
Epoch: [64][4880/7045]	Time 0.102 (0.274)	Data 0.001 (0.210)	Loss 2.6267 (2.6388)	Prec@1 36.328 (36.684)	Prec@5 67.188 (66.449)
Epoch: [64][4890/7045]	Time 0.237 (0.274)	Data 0.186 (0.210)	Loss 2.5569 (2.6388)	Prec@1 41.406 (36.683)	Prec@5 67.188 (66.447)
Epoch: [64][4900/7045]	Time 0.257 (0.274)	Data 0.206 (0.210)	Loss 2.4482 (2.6386)	Prec@1 42.578 (36.685)	Prec@5 70.312 (66.450)
Epoch: [64][4910/7045]	Time 0.252 (0.274)	Data 0.201 (0.210)	Loss 2.6168 (2.6387)	Prec@1 38.672 (36.687)	Prec@5 64.453 (66.448)
Epoch: [64][4920/7045]	Time 0.545 (0.274)	Data 0.486 (0.210)	Loss 2.7416 (2.6387)	Prec@1 33.984 (36.688)	Prec@5 65.625 (66.448)
Epoch: [64][4930/7045]	Time 0.188 (0.274)	Data 0.137 (0.210)	Loss 2.6870 (2.6387)	Prec@1 35.156 (36.688)	Prec@5 64.062 (66.446)
Epoch: [64][4940/7045]	Time 0.589 (0.274)	Data 0.538 (0.210)	Loss 2.6045 (2.6387)	Prec@1 38.281 (36.690)	Prec@5 65.234 (66.445)
Epoch: [64][4950/7045]	Time 0.166 (0.273)	Data 0.115 (0.210)	Loss 2.5177 (2.6387)	Prec@1 43.359 (36.693)	Prec@5 69.531 (66.445)
Epoch: [64][4960/7045]	Time 0.232 (0.274)	Data 0.182 (0.210)	Loss 2.7571 (2.6387)	Prec@1 35.938 (36.694)	Prec@5 61.328 (66.445)
Epoch: [64][4970/7045]	Time 0.102 (0.273)	Data 0.051 (0.210)	Loss 2.7242 (2.6388)	Prec@1 34.766 (36.691)	Prec@5 64.062 (66.444)
Epoch: [64][4980/7045]	Time 0.244 (0.273)	Data 0.192 (0.210)	Loss 2.5106 (2.6387)	Prec@1 42.188 (36.696)	Prec@5 68.750 (66.446)
Epoch: [64][4990/7045]	Time 0.121 (0.273)	Data 0.070 (0.210)	Loss 2.4113 (2.6386)	Prec@1 44.531 (36.696)	Prec@5 72.656 (66.447)
Epoch: [64][5000/7045]	Time 0.230 (0.273)	Data 0.180 (0.209)	Loss 2.7590 (2.6387)	Prec@1 33.203 (36.696)	Prec@5 64.844 (66.446)
Epoch: [64][5010/7045]	Time 0.107 (0.273)	Data 0.055 (0.209)	Loss 2.5880 (2.6388)	Prec@1 38.281 (36.693)	Prec@5 68.359 (66.443)
Epoch: [64][5020/7045]	Time 0.210 (0.273)	Data 0.160 (0.209)	Loss 2.7194 (2.6388)	Prec@1 35.156 (36.693)	Prec@5 66.406 (66.444)
Epoch: [64][5030/7045]	Time 0.102 (0.273)	Data 0.051 (0.209)	Loss 2.7658 (2.6389)	Prec@1 32.812 (36.692)	Prec@5 63.281 (66.443)
Epoch: [64][5040/7045]	Time 0.210 (0.273)	Data 0.159 (0.209)	Loss 2.5817 (2.6390)	Prec@1 37.500 (36.690)	Prec@5 66.797 (66.442)
Epoch: [64][5050/7045]	Time 0.103 (0.273)	Data 0.004 (0.209)	Loss 2.5934 (2.6389)	Prec@1 33.984 (36.691)	Prec@5 69.531 (66.442)
Epoch: [64][5060/7045]	Time 0.172 (0.273)	Data 0.121 (0.209)	Loss 2.6743 (2.6389)	Prec@1 35.938 (36.689)	Prec@5 64.062 (66.441)
Epoch: [64][5070/7045]	Time 0.189 (0.273)	Data 0.138 (0.209)	Loss 2.6929 (2.6389)	Prec@1 35.547 (36.691)	Prec@5 64.844 (66.440)
Epoch: [64][5080/7045]	Time 0.295 (0.273)	Data 0.244 (0.209)	Loss 2.7100 (2.6389)	Prec@1 38.281 (36.692)	Prec@5 59.766 (66.440)
Epoch: [64][5090/7045]	Time 0.176 (0.273)	Data 0.124 (0.209)	Loss 2.6546 (2.6388)	Prec@1 34.375 (36.696)	Prec@5 63.672 (66.442)
Epoch: [64][5100/7045]	Time 0.596 (0.273)	Data 0.544 (0.209)	Loss 2.4794 (2.6388)	Prec@1 37.109 (36.696)	Prec@5 67.578 (66.440)
Epoch: [64][5110/7045]	Time 0.109 (0.273)	Data 0.058 (0.209)	Loss 2.6034 (2.6388)	Prec@1 35.938 (36.695)	Prec@5 64.844 (66.439)
Epoch: [64][5120/7045]	Time 0.405 (0.273)	Data 0.354 (0.209)	Loss 2.5896 (2.6389)	Prec@1 36.328 (36.693)	Prec@5 67.969 (66.438)
Epoch: [64][5130/7045]	Time 0.109 (0.273)	Data 0.001 (0.209)	Loss 2.6925 (2.6389)	Prec@1 34.375 (36.694)	Prec@5 62.500 (66.438)
Epoch: [64][5140/7045]	Time 0.326 (0.272)	Data 0.275 (0.209)	Loss 2.7295 (2.6388)	Prec@1 32.812 (36.695)	Prec@5 67.578 (66.439)
Epoch: [64][5150/7045]	Time 0.281 (0.272)	Data 0.230 (0.209)	Loss 2.5676 (2.6388)	Prec@1 39.062 (36.695)	Prec@5 68.359 (66.441)
Epoch: [64][5160/7045]	Time 0.133 (0.272)	Data 0.081 (0.209)	Loss 2.7096 (2.6388)	Prec@1 35.547 (36.696)	Prec@5 66.406 (66.442)
Epoch: [64][5170/7045]	Time 0.401 (0.272)	Data 0.349 (0.209)	Loss 2.7231 (2.6388)	Prec@1 37.891 (36.698)	Prec@5 66.406 (66.444)
Epoch: [64][5180/7045]	Time 0.101 (0.272)	Data 0.049 (0.209)	Loss 2.8086 (2.6387)	Prec@1 36.719 (36.698)	Prec@5 59.766 (66.441)
Epoch: [64][5190/7045]	Time 0.409 (0.272)	Data 0.359 (0.209)	Loss 2.6651 (2.6387)	Prec@1 33.984 (36.698)	Prec@5 66.016 (66.443)
Epoch: [64][5200/7045]	Time 0.107 (0.272)	Data 0.008 (0.209)	Loss 2.7424 (2.6388)	Prec@1 33.984 (36.695)	Prec@5 62.500 (66.442)
Epoch: [64][5210/7045]	Time 0.428 (0.272)	Data 0.377 (0.209)	Loss 2.5992 (2.6387)	Prec@1 40.625 (36.698)	Prec@5 64.844 (66.444)
Epoch: [64][5220/7045]	Time 0.107 (0.272)	Data 0.001 (0.209)	Loss 2.4889 (2.6388)	Prec@1 42.578 (36.697)	Prec@5 65.234 (66.442)
Epoch: [64][5230/7045]	Time 0.353 (0.272)	Data 0.301 (0.209)	Loss 2.8136 (2.6389)	Prec@1 34.375 (36.697)	Prec@5 60.547 (66.438)
Epoch: [64][5240/7045]	Time 0.413 (0.272)	Data 0.363 (0.209)	Loss 2.8237 (2.6389)	Prec@1 36.719 (36.698)	Prec@5 64.062 (66.437)
Epoch: [64][5250/7045]	Time 0.194 (0.272)	Data 0.144 (0.208)	Loss 2.7446 (2.6388)	Prec@1 35.547 (36.701)	Prec@5 62.500 (66.437)
Epoch: [64][5260/7045]	Time 3.094 (0.273)	Data 3.040 (0.209)	Loss 2.5602 (2.6388)	Prec@1 39.453 (36.700)	Prec@5 71.875 (66.437)
Epoch: [64][5270/7045]	Time 0.107 (0.272)	Data 0.001 (0.209)	Loss 2.7199 (2.6388)	Prec@1 31.641 (36.699)	Prec@5 65.625 (66.438)
Epoch: [64][5280/7045]	Time 0.378 (0.272)	Data 0.327 (0.209)	Loss 2.5416 (2.6387)	Prec@1 37.109 (36.700)	Prec@5 68.359 (66.439)
Epoch: [64][5290/7045]	Time 0.101 (0.272)	Data 0.003 (0.209)	Loss 2.6413 (2.6387)	Prec@1 38.281 (36.701)	Prec@5 64.453 (66.441)
Epoch: [64][5300/7045]	Time 0.308 (0.272)	Data 0.254 (0.209)	Loss 2.6690 (2.6388)	Prec@1 37.891 (36.700)	Prec@5 65.625 (66.439)
Epoch: [64][5310/7045]	Time 0.103 (0.272)	Data 0.001 (0.209)	Loss 2.7350 (2.6388)	Prec@1 32.812 (36.701)	Prec@5 67.578 (66.439)
Epoch: [64][5320/7045]	Time 0.264 (0.272)	Data 0.214 (0.209)	Loss 2.7977 (2.6387)	Prec@1 32.031 (36.700)	Prec@5 64.844 (66.440)
Epoch: [64][5330/7045]	Time 0.102 (0.272)	Data 0.005 (0.209)	Loss 2.5757 (2.6387)	Prec@1 39.453 (36.699)	Prec@5 67.578 (66.440)
Epoch: [64][5340/7045]	Time 0.312 (0.272)	Data 0.262 (0.209)	Loss 2.5848 (2.6388)	Prec@1 35.547 (36.698)	Prec@5 69.141 (66.437)
Epoch: [64][5350/7045]	Time 0.170 (0.272)	Data 0.111 (0.209)	Loss 2.7349 (2.6389)	Prec@1 35.938 (36.696)	Prec@5 66.016 (66.438)
Epoch: [64][5360/7045]	Time 0.182 (0.272)	Data 0.130 (0.209)	Loss 2.5324 (2.6389)	Prec@1 36.328 (36.695)	Prec@5 69.531 (66.437)
Epoch: [64][5370/7045]	Time 0.109 (0.272)	Data 0.056 (0.209)	Loss 2.6008 (2.6388)	Prec@1 41.797 (36.697)	Prec@5 63.672 (66.439)
Epoch: [64][5380/7045]	Time 0.303 (0.272)	Data 0.252 (0.209)	Loss 2.5549 (2.6389)	Prec@1 39.062 (36.696)	Prec@5 67.969 (66.439)
Epoch: [64][5390/7045]	Time 0.205 (0.272)	Data 0.153 (0.209)	Loss 2.4636 (2.6389)	Prec@1 38.281 (36.696)	Prec@5 73.047 (66.440)
Epoch: [64][5400/7045]	Time 0.108 (0.272)	Data 0.058 (0.209)	Loss 2.4185 (2.6389)	Prec@1 44.922 (36.697)	Prec@5 68.750 (66.438)
Epoch: [64][5410/7045]	Time 0.401 (0.272)	Data 0.350 (0.209)	Loss 2.6153 (2.6388)	Prec@1 34.766 (36.694)	Prec@5 66.406 (66.438)
Epoch: [64][5420/7045]	Time 0.102 (0.272)	Data 0.001 (0.209)	Loss 2.3718 (2.6386)	Prec@1 40.625 (36.696)	Prec@5 72.656 (66.444)
Epoch: [64][5430/7045]	Time 0.342 (0.272)	Data 0.292 (0.209)	Loss 2.4995 (2.6387)	Prec@1 35.938 (36.697)	Prec@5 70.703 (66.445)
Epoch: [64][5440/7045]	Time 0.112 (0.272)	Data 0.060 (0.209)	Loss 2.7118 (2.6387)	Prec@1 30.469 (36.696)	Prec@5 69.141 (66.444)
Epoch: [64][5450/7045]	Time 0.366 (0.272)	Data 0.314 (0.209)	Loss 2.7568 (2.6387)	Prec@1 34.766 (36.696)	Prec@5 64.844 (66.444)
Epoch: [64][5460/7045]	Time 0.279 (0.272)	Data 0.227 (0.209)	Loss 2.8405 (2.6388)	Prec@1 35.547 (36.694)	Prec@5 65.234 (66.442)
Epoch: [64][5470/7045]	Time 0.283 (0.272)	Data 0.232 (0.209)	Loss 2.4382 (2.6387)	Prec@1 42.188 (36.697)	Prec@5 68.750 (66.444)
Epoch: [64][5480/7045]	Time 1.556 (0.272)	Data 1.505 (0.209)	Loss 2.8672 (2.6387)	Prec@1 32.422 (36.698)	Prec@5 63.672 (66.444)
Epoch: [64][5490/7045]	Time 0.291 (0.272)	Data 0.240 (0.209)	Loss 2.6926 (2.6387)	Prec@1 35.156 (36.701)	Prec@5 63.672 (66.444)
Epoch: [64][5500/7045]	Time 0.655 (0.272)	Data 0.596 (0.209)	Loss 2.6388 (2.6387)	Prec@1 33.984 (36.702)	Prec@5 66.016 (66.442)
Epoch: [64][5510/7045]	Time 0.101 (0.272)	Data 0.010 (0.209)	Loss 2.6893 (2.6388)	Prec@1 37.891 (36.700)	Prec@5 63.281 (66.441)
Epoch: [64][5520/7045]	Time 0.423 (0.272)	Data 0.373 (0.209)	Loss 2.5569 (2.6387)	Prec@1 38.672 (36.701)	Prec@5 67.578 (66.442)
Epoch: [64][5530/7045]	Time 0.102 (0.272)	Data 0.004 (0.208)	Loss 2.7254 (2.6387)	Prec@1 33.984 (36.699)	Prec@5 64.844 (66.441)
Epoch: [64][5540/7045]	Time 0.221 (0.272)	Data 0.170 (0.208)	Loss 2.5695 (2.6386)	Prec@1 38.672 (36.701)	Prec@5 67.188 (66.441)
Epoch: [64][5550/7045]	Time 0.191 (0.272)	Data 0.138 (0.208)	Loss 2.8020 (2.6387)	Prec@1 36.719 (36.700)	Prec@5 66.406 (66.440)
Epoch: [64][5560/7045]	Time 0.165 (0.272)	Data 0.109 (0.209)	Loss 2.5719 (2.6387)	Prec@1 37.500 (36.702)	Prec@5 68.750 (66.441)
Epoch: [64][5570/7045]	Time 0.115 (0.272)	Data 0.064 (0.208)	Loss 2.7893 (2.6387)	Prec@1 36.328 (36.701)	Prec@5 60.547 (66.437)
Epoch: [64][5580/7045]	Time 0.101 (0.272)	Data 0.007 (0.208)	Loss 2.7515 (2.6387)	Prec@1 36.719 (36.700)	Prec@5 62.891 (66.436)
Epoch: [64][5590/7045]	Time 0.222 (0.272)	Data 0.171 (0.208)	Loss 2.5640 (2.6387)	Prec@1 32.422 (36.699)	Prec@5 71.094 (66.437)
Epoch: [64][5600/7045]	Time 0.109 (0.272)	Data 0.001 (0.208)	Loss 2.6963 (2.6387)	Prec@1 38.672 (36.699)	Prec@5 64.062 (66.435)
Epoch: [64][5610/7045]	Time 0.309 (0.272)	Data 0.259 (0.208)	Loss 2.7222 (2.6387)	Prec@1 35.156 (36.701)	Prec@5 62.109 (66.434)
Epoch: [64][5620/7045]	Time 0.102 (0.272)	Data 0.047 (0.208)	Loss 2.7826 (2.6388)	Prec@1 34.766 (36.702)	Prec@5 64.062 (66.434)
Epoch: [64][5630/7045]	Time 0.486 (0.272)	Data 0.435 (0.208)	Loss 2.6899 (2.6388)	Prec@1 32.422 (36.701)	Prec@5 67.188 (66.434)
Epoch: [64][5640/7045]	Time 0.103 (0.272)	Data 0.008 (0.208)	Loss 2.5248 (2.6388)	Prec@1 37.109 (36.701)	Prec@5 66.797 (66.435)
Epoch: [64][5650/7045]	Time 0.668 (0.272)	Data 0.616 (0.208)	Loss 2.5879 (2.6389)	Prec@1 33.203 (36.700)	Prec@5 65.234 (66.433)
Epoch: [64][5660/7045]	Time 0.102 (0.272)	Data 0.001 (0.208)	Loss 2.7210 (2.6389)	Prec@1 35.547 (36.697)	Prec@5 61.328 (66.430)
Epoch: [64][5670/7045]	Time 0.678 (0.272)	Data 0.627 (0.208)	Loss 2.6557 (2.6390)	Prec@1 35.547 (36.696)	Prec@5 66.797 (66.428)
Epoch: [64][5680/7045]	Time 0.102 (0.272)	Data 0.005 (0.208)	Loss 2.5800 (2.6389)	Prec@1 40.625 (36.697)	Prec@5 66.016 (66.429)
Epoch: [64][5690/7045]	Time 0.371 (0.272)	Data 0.320 (0.208)	Loss 2.6817 (2.6389)	Prec@1 35.547 (36.697)	Prec@5 61.719 (66.429)
Epoch: [64][5700/7045]	Time 0.363 (0.272)	Data 0.311 (0.208)	Loss 3.0523 (2.6390)	Prec@1 32.031 (36.697)	Prec@5 60.547 (66.427)
Epoch: [64][5710/7045]	Time 0.154 (0.272)	Data 0.101 (0.208)	Loss 2.7865 (2.6390)	Prec@1 33.203 (36.698)	Prec@5 62.891 (66.426)
Epoch: [64][5720/7045]	Time 0.106 (0.272)	Data 0.055 (0.208)	Loss 2.5591 (2.6391)	Prec@1 36.719 (36.696)	Prec@5 69.141 (66.426)
Epoch: [64][5730/7045]	Time 0.286 (0.272)	Data 0.236 (0.208)	Loss 2.7380 (2.6391)	Prec@1 31.641 (36.695)	Prec@5 62.109 (66.426)
Epoch: [64][5740/7045]	Time 0.161 (0.272)	Data 0.109 (0.208)	Loss 2.6603 (2.6390)	Prec@1 34.375 (36.695)	Prec@5 67.969 (66.428)
Epoch: [64][5750/7045]	Time 0.390 (0.272)	Data 0.338 (0.209)	Loss 2.4867 (2.6391)	Prec@1 39.844 (36.695)	Prec@5 69.531 (66.427)
Epoch: [64][5760/7045]	Time 0.291 (0.272)	Data 0.241 (0.209)	Loss 2.2889 (2.6391)	Prec@1 39.062 (36.694)	Prec@5 71.875 (66.426)
Epoch: [64][5770/7045]	Time 0.409 (0.272)	Data 0.358 (0.209)	Loss 2.5792 (2.6391)	Prec@1 33.594 (36.693)	Prec@5 68.359 (66.425)
Epoch: [64][5780/7045]	Time 0.342 (0.272)	Data 0.291 (0.209)	Loss 2.6742 (2.6391)	Prec@1 32.812 (36.692)	Prec@5 66.797 (66.424)
Epoch: [64][5790/7045]	Time 0.182 (0.272)	Data 0.131 (0.208)	Loss 2.7218 (2.6392)	Prec@1 39.062 (36.693)	Prec@5 65.625 (66.423)
Epoch: [64][5800/7045]	Time 0.378 (0.272)	Data 0.327 (0.208)	Loss 2.6943 (2.6391)	Prec@1 36.719 (36.692)	Prec@5 64.062 (66.425)
Epoch: [64][5810/7045]	Time 0.103 (0.272)	Data 0.048 (0.208)	Loss 2.6488 (2.6391)	Prec@1 33.594 (36.693)	Prec@5 65.625 (66.425)
Epoch: [64][5820/7045]	Time 0.322 (0.272)	Data 0.269 (0.209)	Loss 2.8532 (2.6391)	Prec@1 37.891 (36.693)	Prec@5 66.797 (66.427)
Epoch: [64][5830/7045]	Time 0.101 (0.272)	Data 0.004 (0.209)	Loss 2.5494 (2.6391)	Prec@1 40.234 (36.696)	Prec@5 66.406 (66.428)
Epoch: [64][5840/7045]	Time 0.102 (0.272)	Data 0.046 (0.209)	Loss 2.6629 (2.6391)	Prec@1 32.812 (36.693)	Prec@5 67.188 (66.426)
Epoch: [64][5850/7045]	Time 0.101 (0.272)	Data 0.001 (0.208)	Loss 2.7324 (2.6391)	Prec@1 32.422 (36.692)	Prec@5 64.062 (66.426)
Epoch: [64][5860/7045]	Time 0.099 (0.272)	Data 0.046 (0.208)	Loss 2.5595 (2.6390)	Prec@1 38.672 (36.694)	Prec@5 67.188 (66.428)
Epoch: [64][5870/7045]	Time 0.344 (0.272)	Data 0.293 (0.208)	Loss 2.4863 (2.6388)	Prec@1 38.672 (36.697)	Prec@5 70.312 (66.431)
Epoch: [64][5880/7045]	Time 0.109 (0.272)	Data 0.001 (0.208)	Loss 2.6911 (2.6389)	Prec@1 33.984 (36.697)	Prec@5 64.453 (66.431)
Epoch: [64][5890/7045]	Time 0.346 (0.272)	Data 0.296 (0.208)	Loss 2.8550 (2.6390)	Prec@1 31.250 (36.695)	Prec@5 63.281 (66.428)
Epoch: [64][5900/7045]	Time 0.210 (0.272)	Data 0.159 (0.209)	Loss 2.5244 (2.6390)	Prec@1 37.891 (36.694)	Prec@5 69.922 (66.429)
Epoch: [64][5910/7045]	Time 0.216 (0.272)	Data 0.165 (0.209)	Loss 2.6601 (2.6389)	Prec@1 35.156 (36.696)	Prec@5 65.625 (66.430)
Epoch: [64][5920/7045]	Time 0.397 (0.272)	Data 0.346 (0.209)	Loss 2.7134 (2.6390)	Prec@1 32.422 (36.695)	Prec@5 63.281 (66.430)
Epoch: [64][5930/7045]	Time 0.213 (0.272)	Data 0.161 (0.209)	Loss 2.5680 (2.6389)	Prec@1 36.328 (36.696)	Prec@5 68.359 (66.434)
Epoch: [64][5940/7045]	Time 0.164 (0.272)	Data 0.112 (0.209)	Loss 2.5752 (2.6388)	Prec@1 39.453 (36.700)	Prec@5 69.531 (66.436)
Epoch: [64][5950/7045]	Time 0.102 (0.272)	Data 0.044 (0.209)	Loss 2.5775 (2.6388)	Prec@1 36.328 (36.699)	Prec@5 64.062 (66.435)
Epoch: [64][5960/7045]	Time 0.129 (0.272)	Data 0.076 (0.209)	Loss 2.7727 (2.6389)	Prec@1 35.938 (36.695)	Prec@5 64.062 (66.431)
Epoch: [64][5970/7045]	Time 0.436 (0.272)	Data 0.386 (0.209)	Loss 2.6081 (2.6388)	Prec@1 37.109 (36.695)	Prec@5 66.406 (66.432)
Epoch: [64][5980/7045]	Time 0.112 (0.272)	Data 0.060 (0.208)	Loss 2.7157 (2.6389)	Prec@1 32.422 (36.692)	Prec@5 63.281 (66.430)
Epoch: [64][5990/7045]	Time 0.393 (0.272)	Data 0.341 (0.209)	Loss 2.6400 (2.6389)	Prec@1 34.766 (36.691)	Prec@5 64.453 (66.430)
Epoch: [64][6000/7045]	Time 0.111 (0.272)	Data 0.059 (0.209)	Loss 2.8664 (2.6390)	Prec@1 34.375 (36.690)	Prec@5 60.156 (66.426)
Epoch: [64][6010/7045]	Time 0.686 (0.272)	Data 0.635 (0.209)	Loss 2.6757 (2.6390)	Prec@1 35.547 (36.690)	Prec@5 64.844 (66.427)
Epoch: [64][6020/7045]	Time 0.107 (0.272)	Data 0.056 (0.209)	Loss 2.6888 (2.6389)	Prec@1 37.891 (36.691)	Prec@5 66.797 (66.426)
Epoch: [64][6030/7045]	Time 0.348 (0.272)	Data 0.297 (0.209)	Loss 2.5172 (2.6390)	Prec@1 37.891 (36.688)	Prec@5 66.016 (66.425)
Epoch: [64][6040/7045]	Time 0.102 (0.272)	Data 0.046 (0.208)	Loss 2.6310 (2.6391)	Prec@1 34.375 (36.688)	Prec@5 64.844 (66.423)
Epoch: [64][6050/7045]	Time 0.231 (0.272)	Data 0.180 (0.208)	Loss 2.6693 (2.6391)	Prec@1 39.062 (36.689)	Prec@5 66.797 (66.423)
Epoch: [64][6060/7045]	Time 0.230 (0.272)	Data 0.179 (0.208)	Loss 2.5420 (2.6392)	Prec@1 38.281 (36.689)	Prec@5 70.703 (66.424)
Epoch: [64][6070/7045]	Time 0.102 (0.272)	Data 0.001 (0.208)	Loss 2.6534 (2.6392)	Prec@1 37.500 (36.688)	Prec@5 64.453 (66.422)
Epoch: [64][6080/7045]	Time 0.102 (0.272)	Data 0.001 (0.208)	Loss 2.7836 (2.6392)	Prec@1 30.469 (36.686)	Prec@5 61.719 (66.422)
Epoch: [64][6090/7045]	Time 0.385 (0.272)	Data 0.326 (0.208)	Loss 2.5186 (2.6391)	Prec@1 33.984 (36.686)	Prec@5 68.359 (66.424)
Epoch: [64][6100/7045]	Time 0.253 (0.272)	Data 0.203 (0.208)	Loss 2.7192 (2.6391)	Prec@1 37.891 (36.686)	Prec@5 63.281 (66.425)
Epoch: [64][6110/7045]	Time 0.230 (0.272)	Data 0.179 (0.208)	Loss 2.6018 (2.6391)	Prec@1 33.984 (36.684)	Prec@5 66.406 (66.427)
Epoch: [64][6120/7045]	Time 0.470 (0.272)	Data 0.417 (0.208)	Loss 2.5314 (2.6391)	Prec@1 36.328 (36.683)	Prec@5 67.969 (66.427)
Epoch: [64][6130/7045]	Time 0.218 (0.272)	Data 0.167 (0.208)	Loss 2.5465 (2.6391)	Prec@1 41.797 (36.682)	Prec@5 66.406 (66.428)
Epoch: [64][6140/7045]	Time 0.368 (0.272)	Data 0.318 (0.208)	Loss 2.4192 (2.6391)	Prec@1 44.141 (36.684)	Prec@5 71.094 (66.429)
Epoch: [64][6150/7045]	Time 0.254 (0.271)	Data 0.197 (0.208)	Loss 2.6358 (2.6390)	Prec@1 33.984 (36.684)	Prec@5 64.062 (66.432)
Epoch: [64][6160/7045]	Time 0.670 (0.271)	Data 0.619 (0.208)	Loss 2.7493 (2.6390)	Prec@1 32.812 (36.685)	Prec@5 63.672 (66.430)
Epoch: [64][6170/7045]	Time 0.287 (0.271)	Data 0.236 (0.208)	Loss 2.6428 (2.6390)	Prec@1 37.109 (36.686)	Prec@5 66.016 (66.431)
Epoch: [64][6180/7045]	Time 0.413 (0.271)	Data 0.361 (0.208)	Loss 2.7526 (2.6390)	Prec@1 36.719 (36.687)	Prec@5 67.578 (66.431)
Epoch: [64][6190/7045]	Time 0.345 (0.272)	Data 0.294 (0.208)	Loss 2.7630 (2.6390)	Prec@1 34.375 (36.688)	Prec@5 64.844 (66.431)
Epoch: [64][6200/7045]	Time 0.212 (0.271)	Data 0.161 (0.208)	Loss 2.8496 (2.6389)	Prec@1 35.547 (36.688)	Prec@5 64.844 (66.433)
Epoch: [64][6210/7045]	Time 0.502 (0.271)	Data 0.451 (0.208)	Loss 2.5772 (2.6389)	Prec@1 34.766 (36.688)	Prec@5 62.109 (66.433)
Epoch: [64][6220/7045]	Time 0.168 (0.271)	Data 0.117 (0.208)	Loss 2.5663 (2.6388)	Prec@1 34.766 (36.687)	Prec@5 68.750 (66.436)
Epoch: [64][6230/7045]	Time 0.633 (0.271)	Data 0.583 (0.208)	Loss 2.5103 (2.6388)	Prec@1 35.156 (36.689)	Prec@5 67.578 (66.437)
Epoch: [64][6240/7045]	Time 0.103 (0.271)	Data 0.001 (0.208)	Loss 2.4853 (2.6387)	Prec@1 37.891 (36.691)	Prec@5 68.359 (66.439)
Epoch: [64][6250/7045]	Time 0.411 (0.271)	Data 0.359 (0.208)	Loss 2.7064 (2.6387)	Prec@1 34.375 (36.690)	Prec@5 65.234 (66.441)
Epoch: [64][6260/7045]	Time 0.110 (0.271)	Data 0.058 (0.208)	Loss 2.7255 (2.6387)	Prec@1 33.594 (36.692)	Prec@5 65.234 (66.443)
Epoch: [64][6270/7045]	Time 0.318 (0.271)	Data 0.261 (0.208)	Loss 2.4892 (2.6385)	Prec@1 39.844 (36.693)	Prec@5 69.922 (66.446)
Epoch: [64][6280/7045]	Time 0.242 (0.271)	Data 0.190 (0.208)	Loss 2.5173 (2.6385)	Prec@1 41.016 (36.694)	Prec@5 67.188 (66.448)
Epoch: [64][6290/7045]	Time 0.143 (0.271)	Data 0.086 (0.208)	Loss 2.6254 (2.6384)	Prec@1 37.500 (36.695)	Prec@5 65.234 (66.448)
Epoch: [64][6300/7045]	Time 0.103 (0.271)	Data 0.052 (0.208)	Loss 2.5609 (2.6384)	Prec@1 37.109 (36.694)	Prec@5 66.406 (66.447)
Epoch: [64][6310/7045]	Time 0.101 (0.271)	Data 0.001 (0.208)	Loss 2.7882 (2.6384)	Prec@1 36.719 (36.692)	Prec@5 62.891 (66.445)
Epoch: [64][6320/7045]	Time 0.101 (0.271)	Data 0.001 (0.208)	Loss 2.5954 (2.6385)	Prec@1 38.672 (36.692)	Prec@5 65.625 (66.444)
Epoch: [64][6330/7045]	Time 0.109 (0.271)	Data 0.057 (0.208)	Loss 2.5423 (2.6385)	Prec@1 39.453 (36.692)	Prec@5 69.531 (66.445)
Epoch: [64][6340/7045]	Time 0.259 (0.272)	Data 0.208 (0.208)	Loss 2.7187 (2.6385)	Prec@1 39.062 (36.691)	Prec@5 66.406 (66.446)
Epoch: [64][6350/7045]	Time 0.416 (0.272)	Data 0.359 (0.208)	Loss 2.5615 (2.6385)	Prec@1 35.547 (36.692)	Prec@5 69.531 (66.445)
Epoch: [64][6360/7045]	Time 0.366 (0.272)	Data 0.314 (0.208)	Loss 2.5654 (2.6384)	Prec@1 38.672 (36.695)	Prec@5 69.141 (66.447)
Epoch: [64][6370/7045]	Time 0.485 (0.272)	Data 0.429 (0.208)	Loss 2.5529 (2.6384)	Prec@1 35.156 (36.695)	Prec@5 69.922 (66.447)
Epoch: [64][6380/7045]	Time 0.240 (0.271)	Data 0.188 (0.208)	Loss 2.6319 (2.6384)	Prec@1 40.234 (36.696)	Prec@5 69.531 (66.447)
Epoch: [64][6390/7045]	Time 0.167 (0.271)	Data 0.116 (0.208)	Loss 2.6068 (2.6385)	Prec@1 35.156 (36.694)	Prec@5 69.141 (66.448)
Epoch: [64][6400/7045]	Time 0.321 (0.271)	Data 0.271 (0.208)	Loss 2.4893 (2.6385)	Prec@1 37.109 (36.692)	Prec@5 69.922 (66.448)
Epoch: [64][6410/7045]	Time 0.103 (0.272)	Data 0.001 (0.208)	Loss 2.5430 (2.6385)	Prec@1 41.797 (36.694)	Prec@5 69.141 (66.448)
Epoch: [64][6420/7045]	Time 0.355 (0.272)	Data 0.305 (0.208)	Loss 2.6920 (2.6384)	Prec@1 39.062 (36.694)	Prec@5 64.844 (66.448)
Epoch: [64][6430/7045]	Time 0.102 (0.272)	Data 0.001 (0.208)	Loss 2.4516 (2.6383)	Prec@1 39.453 (36.695)	Prec@5 69.922 (66.450)
Epoch: [64][6440/7045]	Time 0.608 (0.272)	Data 0.555 (0.208)	Loss 2.5542 (2.6383)	Prec@1 37.109 (36.693)	Prec@5 72.266 (66.450)
Epoch: [64][6450/7045]	Time 0.101 (0.272)	Data 0.007 (0.208)	Loss 2.6794 (2.6384)	Prec@1 34.766 (36.692)	Prec@5 66.016 (66.450)
Epoch: [64][6460/7045]	Time 0.417 (0.272)	Data 0.361 (0.208)	Loss 2.5592 (2.6383)	Prec@1 37.891 (36.694)	Prec@5 67.188 (66.450)
Epoch: [64][6470/7045]	Time 0.102 (0.271)	Data 0.001 (0.208)	Loss 2.6144 (2.6383)	Prec@1 39.062 (36.692)	Prec@5 66.797 (66.449)
Epoch: [64][6480/7045]	Time 0.209 (0.272)	Data 0.158 (0.208)	Loss 2.5162 (2.6383)	Prec@1 36.328 (36.692)	Prec@5 69.922 (66.449)
Epoch: [64][6490/7045]	Time 0.103 (0.272)	Data 0.001 (0.208)	Loss 2.7590 (2.6383)	Prec@1 32.812 (36.692)	Prec@5 65.234 (66.450)
Epoch: [64][6500/7045]	Time 0.245 (0.272)	Data 0.193 (0.208)	Loss 2.8030 (2.6384)	Prec@1 32.031 (36.691)	Prec@5 59.375 (66.450)
Epoch: [64][6510/7045]	Time 0.103 (0.272)	Data 0.046 (0.208)	Loss 2.6275 (2.6384)	Prec@1 37.891 (36.691)	Prec@5 66.406 (66.449)
Epoch: [64][6520/7045]	Time 0.267 (0.272)	Data 0.216 (0.208)	Loss 2.6783 (2.6385)	Prec@1 35.938 (36.687)	Prec@5 64.844 (66.446)
Epoch: [64][6530/7045]	Time 0.479 (0.272)	Data 0.428 (0.208)	Loss 2.4973 (2.6385)	Prec@1 37.500 (36.687)	Prec@5 68.359 (66.446)
Epoch: [64][6540/7045]	Time 0.293 (0.272)	Data 0.234 (0.208)	Loss 2.5118 (2.6385)	Prec@1 40.234 (36.687)	Prec@5 69.531 (66.447)
Epoch: [64][6550/7045]	Time 2.585 (0.272)	Data 2.534 (0.209)	Loss 2.5591 (2.6385)	Prec@1 40.625 (36.687)	Prec@5 66.406 (66.445)
Epoch: [64][6560/7045]	Time 0.320 (0.272)	Data 0.262 (0.209)	Loss 2.5081 (2.6385)	Prec@1 41.406 (36.686)	Prec@5 71.875 (66.448)
Epoch: [64][6570/7045]	Time 0.432 (0.272)	Data 0.381 (0.208)	Loss 2.5473 (2.6386)	Prec@1 42.188 (36.688)	Prec@5 68.359 (66.445)
Epoch: [64][6580/7045]	Time 0.290 (0.272)	Data 0.241 (0.208)	Loss 2.6743 (2.6386)	Prec@1 35.547 (36.688)	Prec@5 68.359 (66.445)
Epoch: [64][6590/7045]	Time 0.190 (0.272)	Data 0.133 (0.208)	Loss 2.8229 (2.6386)	Prec@1 30.859 (36.686)	Prec@5 62.891 (66.443)
Epoch: [64][6600/7045]	Time 0.342 (0.272)	Data 0.291 (0.208)	Loss 2.8494 (2.6387)	Prec@1 32.812 (36.684)	Prec@5 67.578 (66.443)
Epoch: [64][6610/7045]	Time 0.102 (0.272)	Data 0.008 (0.208)	Loss 2.4438 (2.6386)	Prec@1 37.891 (36.687)	Prec@5 71.484 (66.446)
Epoch: [64][6620/7045]	Time 0.266 (0.272)	Data 0.215 (0.208)	Loss 2.5646 (2.6387)	Prec@1 42.188 (36.685)	Prec@5 67.969 (66.444)
Epoch: [64][6630/7045]	Time 0.108 (0.272)	Data 0.013 (0.209)	Loss 2.5509 (2.6387)	Prec@1 36.328 (36.685)	Prec@5 67.578 (66.443)
Epoch: [64][6640/7045]	Time 0.173 (0.272)	Data 0.121 (0.209)	Loss 2.5647 (2.6387)	Prec@1 41.016 (36.686)	Prec@5 66.797 (66.444)
Epoch: [64][6650/7045]	Time 0.115 (0.272)	Data 0.063 (0.209)	Loss 2.5060 (2.6386)	Prec@1 39.062 (36.687)	Prec@5 68.750 (66.443)
Epoch: [64][6660/7045]	Time 0.560 (0.272)	Data 0.503 (0.209)	Loss 2.8599 (2.6387)	Prec@1 28.125 (36.683)	Prec@5 61.328 (66.441)
Epoch: [64][6670/7045]	Time 0.101 (0.272)	Data 0.004 (0.209)	Loss 2.6406 (2.6388)	Prec@1 35.547 (36.682)	Prec@5 65.234 (66.439)
Epoch: [64][6680/7045]	Time 0.401 (0.272)	Data 0.344 (0.209)	Loss 2.6450 (2.6388)	Prec@1 39.062 (36.684)	Prec@5 67.578 (66.439)
Epoch: [64][6690/7045]	Time 0.103 (0.272)	Data 0.051 (0.208)	Loss 2.6633 (2.6388)	Prec@1 34.766 (36.685)	Prec@5 61.719 (66.439)
Epoch: [64][6700/7045]	Time 0.374 (0.272)	Data 0.323 (0.208)	Loss 2.4469 (2.6388)	Prec@1 38.281 (36.686)	Prec@5 70.703 (66.439)
Epoch: [64][6710/7045]	Time 0.102 (0.272)	Data 0.051 (0.208)	Loss 2.6756 (2.6387)	Prec@1 33.984 (36.687)	Prec@5 65.625 (66.440)
Epoch: [64][6720/7045]	Time 0.547 (0.272)	Data 0.495 (0.208)	Loss 2.6086 (2.6387)	Prec@1 32.031 (36.689)	Prec@5 66.016 (66.440)
Epoch: [64][6730/7045]	Time 0.103 (0.272)	Data 0.001 (0.208)	Loss 2.6093 (2.6387)	Prec@1 34.766 (36.689)	Prec@5 65.625 (66.439)
Epoch: [64][6740/7045]	Time 0.358 (0.272)	Data 0.301 (0.208)	Loss 2.7894 (2.6388)	Prec@1 32.031 (36.688)	Prec@5 66.797 (66.438)
Epoch: [64][6750/7045]	Time 0.200 (0.272)	Data 0.149 (0.208)	Loss 2.8849 (2.6389)	Prec@1 32.422 (36.686)	Prec@5 60.547 (66.433)
Epoch: [64][6760/7045]	Time 0.378 (0.272)	Data 0.327 (0.208)	Loss 2.6901 (2.6389)	Prec@1 37.500 (36.685)	Prec@5 64.453 (66.432)
Epoch: [64][6770/7045]	Time 0.168 (0.272)	Data 0.116 (0.208)	Loss 2.5296 (2.6388)	Prec@1 37.891 (36.685)	Prec@5 70.703 (66.436)
Epoch: [64][6780/7045]	Time 0.638 (0.272)	Data 0.585 (0.208)	Loss 2.6862 (2.6389)	Prec@1 34.375 (36.685)	Prec@5 65.625 (66.435)
Epoch: [64][6790/7045]	Time 0.108 (0.272)	Data 0.055 (0.208)	Loss 2.9286 (2.6388)	Prec@1 28.906 (36.684)	Prec@5 60.547 (66.436)
Epoch: [64][6800/7045]	Time 0.446 (0.271)	Data 0.389 (0.208)	Loss 2.7018 (2.6387)	Prec@1 38.281 (36.686)	Prec@5 65.625 (66.439)
Epoch: [64][6810/7045]	Time 0.137 (0.271)	Data 0.086 (0.208)	Loss 2.5973 (2.6388)	Prec@1 37.891 (36.686)	Prec@5 65.625 (66.438)
Epoch: [64][6820/7045]	Time 0.425 (0.271)	Data 0.367 (0.208)	Loss 2.6808 (2.6388)	Prec@1 38.281 (36.686)	Prec@5 68.359 (66.438)
Epoch: [64][6830/7045]	Time 0.105 (0.271)	Data 0.053 (0.208)	Loss 2.6890 (2.6388)	Prec@1 35.547 (36.687)	Prec@5 66.016 (66.438)
Epoch: [64][6840/7045]	Time 0.417 (0.271)	Data 0.361 (0.208)	Loss 2.6693 (2.6389)	Prec@1 36.328 (36.686)	Prec@5 64.453 (66.437)
Epoch: [64][6850/7045]	Time 0.187 (0.271)	Data 0.137 (0.208)	Loss 2.7377 (2.6388)	Prec@1 31.641 (36.688)	Prec@5 63.281 (66.439)
Epoch: [64][6860/7045]	Time 0.352 (0.271)	Data 0.301 (0.208)	Loss 2.4951 (2.6387)	Prec@1 39.844 (36.689)	Prec@5 68.750 (66.440)
Epoch: [64][6870/7045]	Time 0.482 (0.271)	Data 0.430 (0.208)	Loss 2.6106 (2.6387)	Prec@1 40.625 (36.690)	Prec@5 65.625 (66.441)
Epoch: [64][6880/7045]	Time 0.136 (0.271)	Data 0.080 (0.208)	Loss 2.7598 (2.6387)	Prec@1 33.594 (36.690)	Prec@5 63.281 (66.440)
Epoch: [64][6890/7045]	Time 0.710 (0.271)	Data 0.653 (0.208)	Loss 2.7003 (2.6388)	Prec@1 30.859 (36.688)	Prec@5 64.844 (66.437)
Epoch: [64][6900/7045]	Time 0.101 (0.271)	Data 0.007 (0.208)	Loss 2.5092 (2.6388)	Prec@1 40.625 (36.688)	Prec@5 70.312 (66.437)
Epoch: [64][6910/7045]	Time 1.456 (0.271)	Data 1.405 (0.208)	Loss 2.6549 (2.6389)	Prec@1 37.500 (36.686)	Prec@5 63.281 (66.436)
Epoch: [64][6920/7045]	Time 0.107 (0.271)	Data 0.001 (0.208)	Loss 2.5198 (2.6388)	Prec@1 40.234 (36.689)	Prec@5 70.703 (66.438)
Epoch: [64][6930/7045]	Time 0.530 (0.271)	Data 0.479 (0.208)	Loss 2.7039 (2.6389)	Prec@1 35.547 (36.688)	Prec@5 61.719 (66.436)
Epoch: [64][6940/7045]	Time 0.173 (0.271)	Data 0.117 (0.208)	Loss 2.8175 (2.6390)	Prec@1 35.547 (36.687)	Prec@5 62.109 (66.434)
Epoch: [64][6950/7045]	Time 0.352 (0.271)	Data 0.301 (0.208)	Loss 2.6831 (2.6391)	Prec@1 35.938 (36.685)	Prec@5 61.328 (66.434)
Epoch: [64][6960/7045]	Time 0.176 (0.271)	Data 0.124 (0.208)	Loss 2.8575 (2.6390)	Prec@1 35.156 (36.688)	Prec@5 61.328 (66.436)
Epoch: [64][6970/7045]	Time 0.297 (0.271)	Data 0.246 (0.208)	Loss 2.5519 (2.6390)	Prec@1 36.719 (36.688)	Prec@5 68.750 (66.435)
Epoch: [64][6980/7045]	Time 0.226 (0.271)	Data 0.175 (0.208)	Loss 2.7220 (2.6390)	Prec@1 35.547 (36.687)	Prec@5 66.406 (66.434)
Epoch: [64][6990/7045]	Time 0.164 (0.271)	Data 0.112 (0.208)	Loss 2.7870 (2.6391)	Prec@1 36.719 (36.687)	Prec@5 65.234 (66.433)
Epoch: [64][7000/7045]	Time 0.214 (0.271)	Data 0.163 (0.208)	Loss 2.4723 (2.6392)	Prec@1 41.016 (36.685)	Prec@5 67.188 (66.431)
Epoch: [64][7010/7045]	Time 0.284 (0.271)	Data 0.234 (0.208)	Loss 2.5389 (2.6391)	Prec@1 36.719 (36.686)	Prec@5 70.703 (66.431)
Epoch: [64][7020/7045]	Time 0.256 (0.271)	Data 0.206 (0.208)	Loss 2.4939 (2.6391)	Prec@1 41.797 (36.686)	Prec@5 69.141 (66.430)
Epoch: [64][7030/7045]	Time 0.261 (0.271)	Data 0.210 (0.208)	Loss 2.4705 (2.6391)	Prec@1 42.578 (36.687)	Prec@5 69.141 (66.430)
Epoch: [64][7040/7045]	Time 0.154 (0.271)	Data 0.103 (0.208)	Loss 2.7113 (2.6390)	Prec@1 34.375 (36.688)	Prec@5 65.625 (66.431)
Test: [0/143]	Time 1.440 (1.440)	Loss 2.2098 (2.2098)	Prec@1 47.656 (47.656)	Prec@5 78.125 (78.125)
Test: [10/143]	Time 0.267 (0.280)	Loss 1.7698 (2.0831)	Prec@1 58.203 (48.757)	Prec@5 83.203 (77.770)
Test: [20/143]	Time 0.048 (0.232)	Loss 2.1299 (2.0646)	Prec@1 46.484 (47.321)	Prec@5 75.781 (78.404)
Test: [30/143]	Time 0.127 (0.217)	Loss 2.3588 (2.0810)	Prec@1 44.922 (47.593)	Prec@5 67.578 (77.596)
Test: [40/143]	Time 0.409 (0.210)	Loss 2.8017 (2.1127)	Prec@1 23.047 (46.570)	Prec@5 65.234 (76.772)
Test: [50/143]	Time 0.059 (0.198)	Loss 2.0258 (2.1729)	Prec@1 40.625 (44.692)	Prec@5 81.250 (76.003)
Test: [60/143]	Time 0.414 (0.197)	Loss 2.3535 (2.1591)	Prec@1 37.109 (45.012)	Prec@5 76.172 (76.332)
Test: [70/143]	Time 0.064 (0.191)	Loss 2.9907 (2.1508)	Prec@1 27.344 (45.296)	Prec@5 61.328 (76.474)
Test: [80/143]	Time 0.444 (0.191)	Loss 2.1068 (2.1419)	Prec@1 44.922 (45.544)	Prec@5 79.297 (76.717)
Test: [90/143]	Time 0.058 (0.186)	Loss 1.7184 (2.1352)	Prec@1 60.156 (45.746)	Prec@5 85.938 (76.854)
Test: [100/143]	Time 0.473 (0.186)	Loss 1.8937 (2.1330)	Prec@1 55.078 (45.672)	Prec@5 84.766 (76.961)
Test: [110/143]	Time 0.060 (0.183)	Loss 1.9859 (2.1299)	Prec@1 50.000 (45.897)	Prec@5 78.906 (77.045)
Test: [120/143]	Time 0.458 (0.183)	Loss 1.8431 (2.1216)	Prec@1 53.125 (46.155)	Prec@5 83.594 (77.182)
Test: [130/143]	Time 0.060 (0.181)	Loss 1.6277 (2.1306)	Prec@1 62.500 (46.052)	Prec@5 81.641 (76.953)
Test: [140/143]	Time 0.375 (0.181)	Loss 3.0951 (2.1511)	Prec@1 20.703 (45.534)	Prec@5 57.422 (76.560)
 * Prec@1 45.570 Prec@5 76.570
Epoch: [65][0/7045]	Time 2.266 (2.266)	Data 2.202 (2.202)	Loss 2.3533 (2.3533)	Prec@1 43.359 (43.359)	Prec@5 71.875 (71.875)
Epoch: [65][10/7045]	Time 0.107 (0.396)	Data 0.001 (0.318)	Loss 2.4762 (2.5118)	Prec@1 41.797 (39.240)	Prec@5 69.531 (68.928)
Epoch: [65][20/7045]	Time 0.614 (0.338)	Data 0.557 (0.266)	Loss 2.4378 (2.5439)	Prec@1 39.453 (38.281)	Prec@5 69.531 (68.452)
Epoch: [65][30/7045]	Time 0.101 (0.300)	Data 0.001 (0.229)	Loss 2.6223 (2.5750)	Prec@1 38.281 (37.752)	Prec@5 64.062 (67.893)
Epoch: [65][40/7045]	Time 2.245 (0.338)	Data 2.189 (0.268)	Loss 2.4767 (2.5705)	Prec@1 42.188 (37.948)	Prec@5 67.188 (68.131)
Epoch: [65][50/7045]	Time 0.111 (0.315)	Data 0.058 (0.247)	Loss 2.4827 (2.5824)	Prec@1 41.016 (37.990)	Prec@5 66.797 (67.862)
Epoch: [65][60/7045]	Time 0.244 (0.306)	Data 0.185 (0.242)	Loss 2.7839 (2.5908)	Prec@1 33.203 (37.609)	Prec@5 61.719 (67.610)
Epoch: [65][70/7045]	Time 0.343 (0.297)	Data 0.291 (0.234)	Loss 2.7689 (2.5920)	Prec@1 33.594 (37.610)	Prec@5 61.719 (67.540)
Epoch: [65][80/7045]	Time 0.108 (0.291)	Data 0.003 (0.228)	Loss 2.5896 (2.6059)	Prec@1 41.016 (37.408)	Prec@5 71.484 (67.298)
Epoch: [65][90/7045]	Time 0.402 (0.286)	Data 0.350 (0.222)	Loss 2.5584 (2.6000)	Prec@1 41.406 (37.427)	Prec@5 66.406 (67.394)
Epoch: [65][100/7045]	Time 0.108 (0.281)	Data 0.049 (0.218)	Loss 2.4934 (2.6040)	Prec@1 39.062 (37.423)	Prec@5 68.750 (67.300)
Epoch: [65][110/7045]	Time 0.679 (0.280)	Data 0.627 (0.218)	Loss 2.7349 (2.6012)	Prec@1 38.672 (37.504)	Prec@5 64.453 (67.406)
Epoch: [65][120/7045]	Time 0.112 (0.282)	Data 0.060 (0.218)	Loss 2.5536 (2.6021)	Prec@1 41.406 (37.542)	Prec@5 67.188 (67.304)
Epoch: [65][130/7045]	Time 0.613 (0.281)	Data 0.562 (0.216)	Loss 2.8325 (2.6021)	Prec@1 36.719 (37.619)	Prec@5 60.938 (67.313)
Epoch: [65][140/7045]	Time 0.234 (0.277)	Data 0.183 (0.212)	Loss 2.7881 (2.6009)	Prec@1 35.547 (37.627)	Prec@5 62.891 (67.318)
Epoch: [65][150/7045]	Time 0.403 (0.275)	Data 0.344 (0.211)	Loss 2.8149 (2.6023)	Prec@1 33.984 (37.593)	Prec@5 64.453 (67.322)
Epoch: [65][160/7045]	Time 0.473 (0.274)	Data 0.422 (0.209)	Loss 2.6145 (2.6001)	Prec@1 40.625 (37.629)	Prec@5 66.797 (67.394)
Epoch: [65][170/7045]	Time 0.312 (0.271)	Data 0.261 (0.207)	Loss 2.6912 (2.6008)	Prec@1 35.547 (37.621)	Prec@5 64.062 (67.386)
Epoch: [65][180/7045]	Time 0.444 (0.270)	Data 0.392 (0.205)	Loss 2.6190 (2.5997)	Prec@1 41.016 (37.690)	Prec@5 66.797 (67.427)
Epoch: [65][190/7045]	Time 0.101 (0.268)	Data 0.004 (0.203)	Loss 2.4876 (2.5984)	Prec@1 39.844 (37.688)	Prec@5 71.094 (67.427)
Epoch: [65][200/7045]	Time 0.479 (0.268)	Data 0.428 (0.202)	Loss 2.8335 (2.5992)	Prec@1 35.547 (37.704)	Prec@5 60.938 (67.392)
Epoch: [65][210/7045]	Time 0.102 (0.266)	Data 0.002 (0.200)	Loss 2.6071 (2.5999)	Prec@1 34.766 (37.722)	Prec@5 69.141 (67.349)
Epoch: [65][220/7045]	Time 0.332 (0.265)	Data 0.280 (0.200)	Loss 2.7873 (2.6035)	Prec@1 37.500 (37.673)	Prec@5 60.938 (67.294)
Epoch: [65][230/7045]	Time 0.102 (0.264)	Data 0.001 (0.199)	Loss 2.6037 (2.6016)	Prec@1 38.281 (37.674)	Prec@5 68.750 (67.311)
Epoch: [65][240/7045]	Time 0.102 (0.270)	Data 0.001 (0.204)	Loss 2.7574 (2.6052)	Prec@1 38.281 (37.602)	Prec@5 66.016 (67.259)
Epoch: [65][250/7045]	Time 0.133 (0.269)	Data 0.081 (0.204)	Loss 2.5639 (2.6057)	Prec@1 35.156 (37.581)	Prec@5 67.188 (67.225)
Epoch: [65][260/7045]	Time 0.142 (0.267)	Data 0.091 (0.203)	Loss 2.5756 (2.6032)	Prec@1 35.547 (37.653)	Prec@5 67.578 (67.316)
Epoch: [65][270/7045]	Time 0.417 (0.268)	Data 0.366 (0.204)	Loss 2.6977 (2.6047)	Prec@1 37.109 (37.582)	Prec@5 67.578 (67.309)
Epoch: [65][280/7045]	Time 0.101 (0.266)	Data 0.002 (0.202)	Loss 2.5688 (2.6043)	Prec@1 35.938 (37.582)	Prec@5 67.188 (67.317)
Epoch: [65][290/7045]	Time 0.399 (0.265)	Data 0.348 (0.202)	Loss 2.6907 (2.6058)	Prec@1 40.234 (37.571)	Prec@5 66.406 (67.260)
Epoch: [65][300/7045]	Time 0.103 (0.264)	Data 0.002 (0.200)	Loss 2.6227 (2.6071)	Prec@1 36.719 (37.548)	Prec@5 64.062 (67.180)
Epoch: [65][310/7045]	Time 1.562 (0.267)	Data 1.500 (0.204)	Loss 2.5934 (2.6065)	Prec@1 39.453 (37.549)	Prec@5 66.797 (67.170)
Epoch: [65][320/7045]	Time 0.102 (0.266)	Data 0.008 (0.202)	Loss 2.4636 (2.6078)	Prec@1 42.578 (37.535)	Prec@5 70.312 (67.164)
Epoch: [65][330/7045]	Time 0.404 (0.266)	Data 0.353 (0.202)	Loss 2.6965 (2.6081)	Prec@1 36.328 (37.528)	Prec@5 64.062 (67.140)
Epoch: [65][340/7045]	Time 0.195 (0.265)	Data 0.145 (0.202)	Loss 2.7443 (2.6094)	Prec@1 33.984 (37.482)	Prec@5 65.234 (67.111)
Epoch: [65][350/7045]	Time 0.372 (0.264)	Data 0.321 (0.201)	Loss 2.5711 (2.6114)	Prec@1 41.797 (37.445)	Prec@5 64.844 (67.070)
Epoch: [65][360/7045]	Time 0.108 (0.264)	Data 0.004 (0.200)	Loss 2.7539 (2.6136)	Prec@1 32.812 (37.439)	Prec@5 63.672 (67.020)
Epoch: [65][370/7045]	Time 0.266 (0.263)	Data 0.214 (0.200)	Loss 2.4977 (2.6134)	Prec@1 35.156 (37.415)	Prec@5 69.141 (67.012)
Epoch: [65][380/7045]	Time 0.102 (0.263)	Data 0.004 (0.199)	Loss 2.5411 (2.6142)	Prec@1 36.328 (37.407)	Prec@5 63.672 (66.965)
Epoch: [65][390/7045]	Time 0.102 (0.262)	Data 0.047 (0.199)	Loss 2.3514 (2.6151)	Prec@1 42.188 (37.359)	Prec@5 71.875 (66.946)
Epoch: [65][400/7045]	Time 0.102 (0.261)	Data 0.006 (0.198)	Loss 2.5635 (2.6151)	Prec@1 40.625 (37.370)	Prec@5 69.141 (66.971)
Epoch: [65][410/7045]	Time 0.101 (0.261)	Data 0.002 (0.197)	Loss 2.5466 (2.6166)	Prec@1 40.625 (37.338)	Prec@5 67.578 (66.942)
Epoch: [65][420/7045]	Time 0.102 (0.260)	Data 0.006 (0.196)	Loss 2.6285 (2.6160)	Prec@1 34.766 (37.331)	Prec@5 68.750 (66.985)
Epoch: [65][430/7045]	Time 0.292 (0.261)	Data 0.240 (0.197)	Loss 2.6704 (2.6160)	Prec@1 33.203 (37.321)	Prec@5 64.453 (66.989)
Epoch: [65][440/7045]	Time 0.101 (0.260)	Data 0.001 (0.195)	Loss 2.5726 (2.6162)	Prec@1 39.844 (37.341)	Prec@5 67.578 (66.994)
Epoch: [65][450/7045]	Time 0.425 (0.260)	Data 0.365 (0.196)	Loss 2.4211 (2.6160)	Prec@1 39.062 (37.335)	Prec@5 70.312 (66.977)
Epoch: [65][460/7045]	Time 0.102 (0.259)	Data 0.003 (0.195)	Loss 2.6283 (2.6171)	Prec@1 38.281 (37.295)	Prec@5 66.406 (66.966)
Epoch: [65][470/7045]	Time 0.356 (0.259)	Data 0.304 (0.194)	Loss 2.7968 (2.6180)	Prec@1 37.109 (37.285)	Prec@5 64.453 (66.940)
Epoch: [65][480/7045]	Time 0.108 (0.261)	Data 0.001 (0.196)	Loss 2.4264 (2.6180)	Prec@1 37.891 (37.287)	Prec@5 67.969 (66.923)
Epoch: [65][490/7045]	Time 0.229 (0.260)	Data 0.178 (0.196)	Loss 2.3774 (2.6181)	Prec@1 42.188 (37.276)	Prec@5 69.922 (66.911)
Epoch: [65][500/7045]	Time 0.101 (0.260)	Data 0.001 (0.196)	Loss 2.6736 (2.6167)	Prec@1 32.812 (37.277)	Prec@5 64.453 (66.928)
Epoch: [65][510/7045]	Time 0.102 (0.260)	Data 0.001 (0.195)	Loss 2.4150 (2.6163)	Prec@1 39.062 (37.278)	Prec@5 72.266 (66.914)
Epoch: [65][520/7045]	Time 0.292 (0.260)	Data 0.235 (0.196)	Loss 2.5897 (2.6159)	Prec@1 41.016 (37.277)	Prec@5 67.578 (66.915)
Epoch: [65][530/7045]	Time 0.228 (0.259)	Data 0.177 (0.195)	Loss 2.5843 (2.6179)	Prec@1 35.547 (37.234)	Prec@5 65.625 (66.870)
Epoch: [65][540/7045]	Time 0.303 (0.259)	Data 0.251 (0.195)	Loss 2.6536 (2.6175)	Prec@1 32.812 (37.232)	Prec@5 62.109 (66.881)
Epoch: [65][550/7045]	Time 0.350 (0.260)	Data 0.298 (0.196)	Loss 2.5327 (2.6172)	Prec@1 41.016 (37.250)	Prec@5 68.359 (66.893)
Epoch: [65][560/7045]	Time 0.296 (0.260)	Data 0.245 (0.196)	Loss 2.6320 (2.6185)	Prec@1 37.891 (37.233)	Prec@5 64.453 (66.869)
Epoch: [65][570/7045]	Time 0.107 (0.259)	Data 0.055 (0.196)	Loss 2.6292 (2.6188)	Prec@1 36.328 (37.235)	Prec@5 66.797 (66.867)
Epoch: [65][580/7045]	Time 0.102 (0.260)	Data 0.001 (0.196)	Loss 2.5118 (2.6193)	Prec@1 39.844 (37.239)	Prec@5 68.359 (66.848)
Epoch: [65][590/7045]	Time 0.102 (0.259)	Data 0.050 (0.196)	Loss 2.5153 (2.6186)	Prec@1 37.891 (37.260)	Prec@5 72.266 (66.872)
Epoch: [65][600/7045]	Time 0.478 (0.259)	Data 0.426 (0.196)	Loss 2.4381 (2.6194)	Prec@1 41.016 (37.248)	Prec@5 67.969 (66.844)
Epoch: [65][610/7045]	Time 0.099 (0.259)	Data 0.044 (0.195)	Loss 2.4623 (2.6194)	Prec@1 40.625 (37.278)	Prec@5 70.703 (66.840)
Epoch: [65][620/7045]	Time 0.411 (0.259)	Data 0.361 (0.195)	Loss 2.5025 (2.6202)	Prec@1 40.234 (37.252)	Prec@5 69.922 (66.829)
Epoch: [65][630/7045]	Time 0.266 (0.259)	Data 0.215 (0.196)	Loss 2.9642 (2.6202)	Prec@1 30.078 (37.236)	Prec@5 58.594 (66.828)
Epoch: [65][640/7045]	Time 0.233 (0.259)	Data 0.175 (0.196)	Loss 2.5659 (2.6209)	Prec@1 37.109 (37.220)	Prec@5 66.016 (66.821)
Epoch: [65][650/7045]	Time 0.431 (0.263)	Data 0.380 (0.200)	Loss 2.6380 (2.6212)	Prec@1 37.891 (37.235)	Prec@5 67.578 (66.811)
Epoch: [65][660/7045]	Time 0.101 (0.263)	Data 0.006 (0.199)	Loss 2.6574 (2.6209)	Prec@1 33.984 (37.250)	Prec@5 64.062 (66.803)
Epoch: [65][670/7045]	Time 0.608 (0.263)	Data 0.551 (0.199)	Loss 2.5283 (2.6209)	Prec@1 34.766 (37.240)	Prec@5 71.484 (66.799)
Epoch: [65][680/7045]	Time 0.094 (0.262)	Data 0.001 (0.198)	Loss 2.4303 (2.6205)	Prec@1 41.016 (37.261)	Prec@5 73.438 (66.799)
Epoch: [65][690/7045]	Time 0.627 (0.262)	Data 0.567 (0.198)	Loss 2.5022 (2.6198)	Prec@1 36.719 (37.266)	Prec@5 68.750 (66.804)
Epoch: [65][700/7045]	Time 0.230 (0.262)	Data 0.178 (0.197)	Loss 2.7273 (2.6198)	Prec@1 35.156 (37.248)	Prec@5 66.406 (66.810)
Epoch: [65][710/7045]	Time 0.363 (0.261)	Data 0.311 (0.197)	Loss 2.6033 (2.6204)	Prec@1 37.109 (37.245)	Prec@5 64.453 (66.801)
Epoch: [65][720/7045]	Time 0.107 (0.264)	Data 0.055 (0.199)	Loss 2.4001 (2.6200)	Prec@1 39.844 (37.252)	Prec@5 73.438 (66.815)
Epoch: [65][730/7045]	Time 0.110 (0.263)	Data 0.058 (0.200)	Loss 2.6139 (2.6192)	Prec@1 36.328 (37.261)	Prec@5 68.359 (66.829)
Epoch: [65][740/7045]	Time 0.104 (0.263)	Data 0.053 (0.199)	Loss 2.6005 (2.6200)	Prec@1 40.234 (37.247)	Prec@5 67.578 (66.805)
Epoch: [65][750/7045]	Time 0.109 (0.263)	Data 0.007 (0.199)	Loss 2.9205 (2.6205)	Prec@1 29.688 (37.236)	Prec@5 60.156 (66.796)
Epoch: [65][760/7045]	Time 0.102 (0.262)	Data 0.007 (0.198)	Loss 2.6459 (2.6206)	Prec@1 36.328 (37.240)	Prec@5 67.578 (66.789)
Epoch: [65][770/7045]	Time 0.102 (0.262)	Data 0.006 (0.198)	Loss 2.4741 (2.6214)	Prec@1 39.844 (37.225)	Prec@5 68.359 (66.769)
Epoch: [65][780/7045]	Time 0.103 (0.262)	Data 0.007 (0.197)	Loss 2.6595 (2.6210)	Prec@1 33.984 (37.244)	Prec@5 63.281 (66.770)
Epoch: [65][790/7045]	Time 0.192 (0.262)	Data 0.141 (0.198)	Loss 2.6662 (2.6205)	Prec@1 33.594 (37.255)	Prec@5 64.453 (66.776)
Epoch: [65][800/7045]	Time 0.102 (0.263)	Data 0.002 (0.199)	Loss 2.7587 (2.6209)	Prec@1 37.109 (37.251)	Prec@5 65.234 (66.772)
Epoch: [65][810/7045]	Time 0.298 (0.263)	Data 0.247 (0.199)	Loss 2.6636 (2.6208)	Prec@1 33.594 (37.248)	Prec@5 69.531 (66.780)
Epoch: [65][820/7045]	Time 0.196 (0.263)	Data 0.145 (0.199)	Loss 2.8742 (2.6213)	Prec@1 33.984 (37.246)	Prec@5 60.547 (66.764)
Epoch: [65][830/7045]	Time 0.526 (0.263)	Data 0.474 (0.199)	Loss 2.5709 (2.6209)	Prec@1 41.016 (37.249)	Prec@5 66.406 (66.771)
Epoch: [65][840/7045]	Time 0.167 (0.262)	Data 0.115 (0.198)	Loss 2.7963 (2.6206)	Prec@1 33.594 (37.255)	Prec@5 62.500 (66.763)
Epoch: [65][850/7045]	Time 0.504 (0.262)	Data 0.454 (0.198)	Loss 2.5885 (2.6207)	Prec@1 39.453 (37.267)	Prec@5 65.625 (66.763)
Epoch: [65][860/7045]	Time 0.110 (0.262)	Data 0.009 (0.198)	Loss 2.5886 (2.6210)	Prec@1 36.719 (37.263)	Prec@5 65.234 (66.752)
Epoch: [65][870/7045]	Time 0.373 (0.263)	Data 0.323 (0.199)	Loss 2.5741 (2.6215)	Prec@1 36.719 (37.249)	Prec@5 66.406 (66.746)
Epoch: [65][880/7045]	Time 0.101 (0.262)	Data 0.001 (0.198)	Loss 2.7958 (2.6224)	Prec@1 36.328 (37.240)	Prec@5 63.281 (66.727)
Epoch: [65][890/7045]	Time 0.244 (0.262)	Data 0.192 (0.198)	Loss 2.7103 (2.6232)	Prec@1 33.984 (37.226)	Prec@5 64.062 (66.707)
Epoch: [65][900/7045]	Time 0.100 (0.262)	Data 0.004 (0.198)	Loss 2.6926 (2.6241)	Prec@1 34.375 (37.208)	Prec@5 65.234 (66.683)
Epoch: [65][910/7045]	Time 0.181 (0.261)	Data 0.130 (0.197)	Loss 2.6852 (2.6250)	Prec@1 37.109 (37.196)	Prec@5 65.234 (66.667)
Epoch: [65][920/7045]	Time 0.101 (0.261)	Data 0.001 (0.197)	Loss 2.6078 (2.6251)	Prec@1 35.156 (37.184)	Prec@5 69.141 (66.657)
Epoch: [65][930/7045]	Time 0.137 (0.261)	Data 0.085 (0.196)	Loss 2.5823 (2.6242)	Prec@1 35.938 (37.199)	Prec@5 67.969 (66.671)
Epoch: [65][940/7045]	Time 0.101 (0.261)	Data 0.004 (0.196)	Loss 2.7023 (2.6242)	Prec@1 40.234 (37.193)	Prec@5 66.016 (66.679)
Epoch: [65][950/7045]	Time 0.144 (0.260)	Data 0.092 (0.196)	Loss 2.7327 (2.6245)	Prec@1 31.641 (37.190)	Prec@5 65.234 (66.677)
Epoch: [65][960/7045]	Time 0.102 (0.260)	Data 0.013 (0.196)	Loss 2.5856 (2.6245)	Prec@1 39.844 (37.192)	Prec@5 67.969 (66.673)
Epoch: [65][970/7045]	Time 0.213 (0.260)	Data 0.162 (0.195)	Loss 2.5012 (2.6243)	Prec@1 41.797 (37.186)	Prec@5 71.094 (66.677)
Epoch: [65][980/7045]	Time 0.102 (0.260)	Data 0.008 (0.195)	Loss 2.6488 (2.6243)	Prec@1 34.766 (37.166)	Prec@5 66.016 (66.676)
Epoch: [65][990/7045]	Time 0.296 (0.260)	Data 0.246 (0.194)	Loss 2.6430 (2.6245)	Prec@1 36.328 (37.164)	Prec@5 68.359 (66.668)
Epoch: [65][1000/7045]	Time 0.128 (0.261)	Data 0.077 (0.196)	Loss 2.5891 (2.6247)	Prec@1 39.062 (37.154)	Prec@5 69.922 (66.659)
Epoch: [65][1010/7045]	Time 0.248 (0.261)	Data 0.197 (0.196)	Loss 2.6576 (2.6248)	Prec@1 35.547 (37.153)	Prec@5 66.016 (66.664)
Epoch: [65][1020/7045]	Time 0.143 (0.261)	Data 0.090 (0.196)	Loss 2.7731 (2.6248)	Prec@1 32.422 (37.148)	Prec@5 65.625 (66.663)
Epoch: [65][1030/7045]	Time 0.223 (0.261)	Data 0.172 (0.196)	Loss 2.6475 (2.6255)	Prec@1 35.938 (37.142)	Prec@5 66.797 (66.656)
Epoch: [65][1040/7045]	Time 0.103 (0.261)	Data 0.048 (0.196)	Loss 2.9240 (2.6264)	Prec@1 35.156 (37.121)	Prec@5 58.594 (66.638)
Epoch: [65][1050/7045]	Time 0.381 (0.261)	Data 0.330 (0.196)	Loss 2.5397 (2.6266)	Prec@1 41.797 (37.126)	Prec@5 68.750 (66.642)
Epoch: [65][1060/7045]	Time 0.344 (0.260)	Data 0.285 (0.196)	Loss 2.6005 (2.6271)	Prec@1 33.984 (37.117)	Prec@5 67.578 (66.631)
Epoch: [65][1070/7045]	Time 0.165 (0.261)	Data 0.115 (0.197)	Loss 2.5144 (2.6271)	Prec@1 37.891 (37.113)	Prec@5 67.188 (66.627)
Epoch: [65][1080/7045]	Time 0.268 (0.261)	Data 0.217 (0.196)	Loss 2.6520 (2.6266)	Prec@1 38.672 (37.121)	Prec@5 64.062 (66.633)
Epoch: [65][1090/7045]	Time 0.217 (0.261)	Data 0.166 (0.196)	Loss 2.5601 (2.6273)	Prec@1 35.156 (37.108)	Prec@5 67.188 (66.623)
Epoch: [65][1100/7045]	Time 0.103 (0.261)	Data 0.001 (0.196)	Loss 2.4643 (2.6274)	Prec@1 37.891 (37.102)	Prec@5 69.922 (66.621)
Epoch: [65][1110/7045]	Time 0.403 (0.261)	Data 0.353 (0.196)	Loss 2.4694 (2.6276)	Prec@1 39.062 (37.098)	Prec@5 68.359 (66.620)
Epoch: [65][1120/7045]	Time 0.101 (0.261)	Data 0.049 (0.196)	Loss 2.6862 (2.6279)	Prec@1 37.500 (37.087)	Prec@5 62.109 (66.622)
Epoch: [65][1130/7045]	Time 0.311 (0.261)	Data 0.260 (0.196)	Loss 2.6114 (2.6277)	Prec@1 39.844 (37.096)	Prec@5 66.016 (66.625)
Epoch: [65][1140/7045]	Time 0.321 (0.261)	Data 0.271 (0.196)	Loss 2.6069 (2.6274)	Prec@1 36.328 (37.102)	Prec@5 67.578 (66.634)
Epoch: [65][1150/7045]	Time 0.218 (0.261)	Data 0.167 (0.197)	Loss 2.4513 (2.6277)	Prec@1 42.969 (37.095)	Prec@5 67.969 (66.629)
Epoch: [65][1160/7045]	Time 0.202 (0.261)	Data 0.151 (0.197)	Loss 2.6472 (2.6284)	Prec@1 34.375 (37.089)	Prec@5 64.844 (66.612)
Epoch: [65][1170/7045]	Time 0.101 (0.261)	Data 0.001 (0.197)	Loss 2.5283 (2.6285)	Prec@1 37.891 (37.083)	Prec@5 69.141 (66.611)
Epoch: [65][1180/7045]	Time 0.175 (0.261)	Data 0.123 (0.197)	Loss 2.4840 (2.6282)	Prec@1 38.281 (37.088)	Prec@5 72.656 (66.621)
Epoch: [65][1190/7045]	Time 0.251 (0.261)	Data 0.200 (0.196)	Loss 2.4921 (2.6275)	Prec@1 37.891 (37.098)	Prec@5 67.969 (66.643)
Epoch: [65][1200/7045]	Time 0.120 (0.260)	Data 0.069 (0.196)	Loss 2.6066 (2.6273)	Prec@1 37.109 (37.104)	Prec@5 68.359 (66.645)
Epoch: [65][1210/7045]	Time 0.446 (0.260)	Data 0.396 (0.197)	Loss 2.4334 (2.6274)	Prec@1 38.672 (37.105)	Prec@5 70.703 (66.637)
Epoch: [65][1220/7045]	Time 1.087 (0.261)	Data 1.037 (0.197)	Loss 2.3721 (2.6273)	Prec@1 41.797 (37.107)	Prec@5 74.219 (66.638)
Epoch: [65][1230/7045]	Time 0.517 (0.261)	Data 0.460 (0.197)	Loss 2.7452 (2.6270)	Prec@1 33.984 (37.115)	Prec@5 64.844 (66.638)
Epoch: [65][1240/7045]	Time 0.108 (0.261)	Data 0.001 (0.197)	Loss 2.7200 (2.6268)	Prec@1 32.422 (37.110)	Prec@5 66.016 (66.648)
Epoch: [65][1250/7045]	Time 0.581 (0.261)	Data 0.523 (0.197)	Loss 2.5444 (2.6266)	Prec@1 39.453 (37.121)	Prec@5 65.625 (66.647)
Epoch: [65][1260/7045]	Time 0.182 (0.260)	Data 0.131 (0.197)	Loss 2.3909 (2.6268)	Prec@1 39.844 (37.109)	Prec@5 69.531 (66.638)
Epoch: [65][1270/7045]	Time 0.396 (0.260)	Data 0.345 (0.197)	Loss 2.6094 (2.6266)	Prec@1 36.719 (37.109)	Prec@5 65.234 (66.644)
Epoch: [65][1280/7045]	Time 0.118 (0.260)	Data 0.066 (0.196)	Loss 2.7756 (2.6267)	Prec@1 33.203 (37.105)	Prec@5 66.016 (66.648)
Epoch: [65][1290/7045]	Time 0.323 (0.260)	Data 0.271 (0.196)	Loss 2.5553 (2.6270)	Prec@1 34.766 (37.089)	Prec@5 68.750 (66.644)
Epoch: [65][1300/7045]	Time 0.187 (0.260)	Data 0.136 (0.197)	Loss 2.7212 (2.6268)	Prec@1 33.203 (37.079)	Prec@5 64.844 (66.648)
Epoch: [65][1310/7045]	Time 0.215 (0.260)	Data 0.164 (0.197)	Loss 2.5787 (2.6262)	Prec@1 37.109 (37.083)	Prec@5 66.406 (66.658)
Epoch: [65][1320/7045]	Time 0.109 (0.260)	Data 0.001 (0.197)	Loss 2.5838 (2.6261)	Prec@1 41.016 (37.084)	Prec@5 70.312 (66.668)
Epoch: [65][1330/7045]	Time 0.206 (0.260)	Data 0.155 (0.197)	Loss 2.5359 (2.6256)	Prec@1 37.109 (37.089)	Prec@5 69.531 (66.681)
Epoch: [65][1340/7045]	Time 0.102 (0.260)	Data 0.004 (0.197)	Loss 2.6869 (2.6258)	Prec@1 34.375 (37.081)	Prec@5 66.406 (66.679)
Epoch: [65][1350/7045]	Time 0.172 (0.260)	Data 0.121 (0.197)	Loss 2.6638 (2.6260)	Prec@1 37.109 (37.081)	Prec@5 65.234 (66.675)
Epoch: [65][1360/7045]	Time 0.306 (0.260)	Data 0.254 (0.197)	Loss 2.4753 (2.6259)	Prec@1 40.625 (37.085)	Prec@5 71.094 (66.670)
Epoch: [65][1370/7045]	Time 0.103 (0.260)	Data 0.007 (0.197)	Loss 2.4688 (2.6254)	Prec@1 33.203 (37.089)	Prec@5 66.797 (66.677)
Epoch: [65][1380/7045]	Time 0.593 (0.261)	Data 0.542 (0.197)	Loss 2.7406 (2.6259)	Prec@1 36.328 (37.090)	Prec@5 62.109 (66.671)
Epoch: [65][1390/7045]	Time 0.303 (0.260)	Data 0.252 (0.197)	Loss 2.7246 (2.6261)	Prec@1 34.375 (37.092)	Prec@5 66.797 (66.670)
Epoch: [65][1400/7045]	Time 0.408 (0.260)	Data 0.356 (0.197)	Loss 2.7800 (2.6265)	Prec@1 35.547 (37.086)	Prec@5 65.625 (66.668)
Epoch: [65][1410/7045]	Time 0.411 (0.260)	Data 0.354 (0.197)	Loss 2.5064 (2.6259)	Prec@1 36.328 (37.088)	Prec@5 67.578 (66.673)
Epoch: [65][1420/7045]	Time 0.267 (0.260)	Data 0.217 (0.197)	Loss 2.5522 (2.6258)	Prec@1 35.156 (37.094)	Prec@5 66.797 (66.670)
Epoch: [65][1430/7045]	Time 0.525 (0.260)	Data 0.469 (0.197)	Loss 2.6545 (2.6257)	Prec@1 38.281 (37.106)	Prec@5 66.016 (66.666)
Epoch: [65][1440/7045]	Time 0.152 (0.260)	Data 0.096 (0.196)	Loss 2.5253 (2.6255)	Prec@1 35.938 (37.102)	Prec@5 66.016 (66.666)
Epoch: [65][1450/7045]	Time 0.543 (0.260)	Data 0.492 (0.196)	Loss 2.7018 (2.6254)	Prec@1 38.281 (37.104)	Prec@5 63.281 (66.666)
Epoch: [65][1460/7045]	Time 0.102 (0.260)	Data 0.001 (0.197)	Loss 2.7150 (2.6255)	Prec@1 35.938 (37.106)	Prec@5 64.062 (66.657)
Epoch: [65][1470/7045]	Time 0.102 (0.260)	Data 0.006 (0.197)	Loss 2.4819 (2.6258)	Prec@1 38.672 (37.091)	Prec@5 70.703 (66.646)
Epoch: [65][1480/7045]	Time 0.349 (0.262)	Data 0.297 (0.198)	Loss 2.5789 (2.6257)	Prec@1 40.625 (37.103)	Prec@5 66.016 (66.646)
Epoch: [65][1490/7045]	Time 0.274 (0.262)	Data 0.218 (0.198)	Loss 2.7093 (2.6256)	Prec@1 36.328 (37.105)	Prec@5 64.062 (66.651)
Epoch: [65][1500/7045]	Time 0.476 (0.261)	Data 0.415 (0.198)	Loss 2.6345 (2.6256)	Prec@1 34.375 (37.109)	Prec@5 69.531 (66.659)
Epoch: [65][1510/7045]	Time 0.301 (0.261)	Data 0.248 (0.198)	Loss 2.5961 (2.6255)	Prec@1 38.281 (37.108)	Prec@5 66.797 (66.659)
Epoch: [65][1520/7045]	Time 0.404 (0.261)	Data 0.355 (0.198)	Loss 2.5113 (2.6256)	Prec@1 42.969 (37.103)	Prec@5 67.188 (66.654)
Epoch: [65][1530/7045]	Time 0.109 (0.261)	Data 0.004 (0.198)	Loss 2.5796 (2.6256)	Prec@1 39.453 (37.093)	Prec@5 67.969 (66.657)
Epoch: [65][1540/7045]	Time 0.560 (0.261)	Data 0.509 (0.198)	Loss 2.5700 (2.6255)	Prec@1 36.328 (37.093)	Prec@5 70.703 (66.667)
Epoch: [65][1550/7045]	Time 0.102 (0.262)	Data 0.001 (0.199)	Loss 2.4945 (2.6255)	Prec@1 38.281 (37.089)	Prec@5 70.312 (66.667)
Epoch: [65][1560/7045]	Time 0.566 (0.262)	Data 0.514 (0.199)	Loss 2.5417 (2.6255)	Prec@1 39.844 (37.090)	Prec@5 69.922 (66.666)
Epoch: [65][1570/7045]	Time 0.102 (0.262)	Data 0.001 (0.198)	Loss 2.8062 (2.6258)	Prec@1 33.984 (37.085)	Prec@5 62.891 (66.660)
Epoch: [65][1580/7045]	Time 0.419 (0.262)	Data 0.368 (0.198)	Loss 2.5539 (2.6256)	Prec@1 35.938 (37.088)	Prec@5 68.750 (66.667)
Epoch: [65][1590/7045]	Time 0.105 (0.262)	Data 0.053 (0.198)	Loss 2.5170 (2.6257)	Prec@1 39.453 (37.086)	Prec@5 71.484 (66.668)
Epoch: [65][1600/7045]	Time 0.239 (0.262)	Data 0.181 (0.199)	Loss 2.7350 (2.6255)	Prec@1 32.422 (37.087)	Prec@5 66.016 (66.674)
Epoch: [65][1610/7045]	Time 0.108 (0.262)	Data 0.057 (0.198)	Loss 2.4214 (2.6256)	Prec@1 41.797 (37.080)	Prec@5 69.531 (66.670)
Epoch: [65][1620/7045]	Time 0.123 (0.262)	Data 0.072 (0.199)	Loss 2.7537 (2.6257)	Prec@1 34.766 (37.077)	Prec@5 65.234 (66.667)
Epoch: [65][1630/7045]	Time 0.101 (0.262)	Data 0.001 (0.198)	Loss 2.6488 (2.6254)	Prec@1 33.984 (37.082)	Prec@5 62.109 (66.671)
Epoch: [65][1640/7045]	Time 0.192 (0.262)	Data 0.135 (0.198)	Loss 2.6996 (2.6255)	Prec@1 33.984 (37.085)	Prec@5 63.672 (66.666)
Epoch: [65][1650/7045]	Time 0.102 (0.261)	Data 0.049 (0.198)	Loss 2.6557 (2.6250)	Prec@1 35.938 (37.090)	Prec@5 66.406 (66.674)
Epoch: [65][1660/7045]	Time 0.109 (0.262)	Data 0.011 (0.198)	Loss 2.5526 (2.6250)	Prec@1 36.328 (37.094)	Prec@5 67.578 (66.678)
Epoch: [65][1670/7045]	Time 0.219 (0.261)	Data 0.168 (0.198)	Loss 2.4045 (2.6252)	Prec@1 38.672 (37.085)	Prec@5 68.750 (66.671)
Epoch: [65][1680/7045]	Time 0.203 (0.261)	Data 0.147 (0.198)	Loss 2.6222 (2.6252)	Prec@1 32.031 (37.080)	Prec@5 65.625 (66.668)
Epoch: [65][1690/7045]	Time 0.312 (0.261)	Data 0.261 (0.198)	Loss 2.8327 (2.6255)	Prec@1 35.156 (37.072)	Prec@5 61.719 (66.663)
Epoch: [65][1700/7045]	Time 0.194 (0.261)	Data 0.137 (0.198)	Loss 2.6715 (2.6256)	Prec@1 31.641 (37.066)	Prec@5 64.844 (66.657)
Epoch: [65][1710/7045]	Time 0.107 (0.261)	Data 0.054 (0.198)	Loss 2.7152 (2.6258)	Prec@1 33.594 (37.060)	Prec@5 63.281 (66.645)
Epoch: [65][1720/7045]	Time 0.165 (0.261)	Data 0.113 (0.198)	Loss 2.8003 (2.6262)	Prec@1 33.203 (37.057)	Prec@5 64.844 (66.634)
Epoch: [65][1730/7045]	Time 0.313 (0.261)	Data 0.263 (0.198)	Loss 2.5598 (2.6257)	Prec@1 38.672 (37.064)	Prec@5 64.453 (66.645)
Epoch: [65][1740/7045]	Time 0.184 (0.261)	Data 0.133 (0.198)	Loss 2.6731 (2.6258)	Prec@1 37.109 (37.061)	Prec@5 61.719 (66.639)
Epoch: [65][1750/7045]	Time 0.166 (0.261)	Data 0.113 (0.197)	Loss 2.4372 (2.6260)	Prec@1 37.109 (37.052)	Prec@5 70.312 (66.633)
Epoch: [65][1760/7045]	Time 0.224 (0.261)	Data 0.173 (0.197)	Loss 2.7580 (2.6263)	Prec@1 35.938 (37.045)	Prec@5 66.406 (66.625)
Epoch: [65][1770/7045]	Time 0.302 (0.261)	Data 0.245 (0.197)	Loss 2.5107 (2.6263)	Prec@1 37.500 (37.046)	Prec@5 70.312 (66.632)
Epoch: [65][1780/7045]	Time 0.112 (0.260)	Data 0.061 (0.197)	Loss 2.5751 (2.6259)	Prec@1 35.938 (37.052)	Prec@5 68.750 (66.635)
Epoch: [65][1790/7045]	Time 0.332 (0.260)	Data 0.281 (0.197)	Loss 2.6526 (2.6258)	Prec@1 36.328 (37.054)	Prec@5 67.578 (66.639)
Epoch: [65][1800/7045]	Time 0.101 (0.260)	Data 0.001 (0.197)	Loss 2.7971 (2.6258)	Prec@1 33.203 (37.055)	Prec@5 64.453 (66.640)
Epoch: [65][1810/7045]	Time 0.350 (0.260)	Data 0.299 (0.197)	Loss 2.9514 (2.6258)	Prec@1 32.031 (37.055)	Prec@5 58.594 (66.634)
Epoch: [65][1820/7045]	Time 0.260 (0.260)	Data 0.210 (0.197)	Loss 2.5442 (2.6254)	Prec@1 37.891 (37.063)	Prec@5 71.875 (66.640)
Epoch: [65][1830/7045]	Time 0.316 (0.260)	Data 0.264 (0.197)	Loss 2.6280 (2.6255)	Prec@1 32.422 (37.053)	Prec@5 66.406 (66.639)
Epoch: [65][1840/7045]	Time 0.462 (0.260)	Data 0.410 (0.197)	Loss 2.6139 (2.6255)	Prec@1 39.453 (37.050)	Prec@5 67.578 (66.639)
Epoch: [65][1850/7045]	Time 0.165 (0.260)	Data 0.115 (0.197)	Loss 2.7707 (2.6253)	Prec@1 35.156 (37.057)	Prec@5 62.500 (66.640)
Epoch: [65][1860/7045]	Time 0.425 (0.260)	Data 0.373 (0.197)	Loss 2.8380 (2.6250)	Prec@1 32.812 (37.058)	Prec@5 63.281 (66.653)
Epoch: [65][1870/7045]	Time 0.102 (0.260)	Data 0.001 (0.197)	Loss 2.7411 (2.6251)	Prec@1 34.375 (37.055)	Prec@5 64.453 (66.650)
Epoch: [65][1880/7045]	Time 0.339 (0.260)	Data 0.287 (0.197)	Loss 2.4999 (2.6250)	Prec@1 38.281 (37.059)	Prec@5 71.484 (66.659)
Epoch: [65][1890/7045]	Time 0.102 (0.259)	Data 0.001 (0.196)	Loss 2.5915 (2.6246)	Prec@1 40.234 (37.065)	Prec@5 65.625 (66.667)
Epoch: [65][1900/7045]	Time 0.202 (0.259)	Data 0.151 (0.196)	Loss 2.7126 (2.6247)	Prec@1 35.547 (37.059)	Prec@5 65.234 (66.669)
Epoch: [65][1910/7045]	Time 0.101 (0.259)	Data 0.005 (0.196)	Loss 2.6444 (2.6247)	Prec@1 35.547 (37.057)	Prec@5 67.969 (66.672)
Epoch: [65][1920/7045]	Time 0.123 (0.259)	Data 0.071 (0.196)	Loss 2.4093 (2.6245)	Prec@1 41.016 (37.063)	Prec@5 72.656 (66.680)
Epoch: [65][1930/7045]	Time 0.103 (0.259)	Data 0.001 (0.196)	Loss 2.7037 (2.6247)	Prec@1 39.062 (37.062)	Prec@5 66.406 (66.679)
Epoch: [65][1940/7045]	Time 0.223 (0.259)	Data 0.173 (0.196)	Loss 2.7627 (2.6247)	Prec@1 34.766 (37.055)	Prec@5 64.062 (66.681)
Epoch: [65][1950/7045]	Time 0.119 (0.259)	Data 0.068 (0.196)	Loss 2.5943 (2.6245)	Prec@1 37.891 (37.059)	Prec@5 68.750 (66.685)
Epoch: [65][1960/7045]	Time 0.123 (0.259)	Data 0.071 (0.196)	Loss 2.7772 (2.6248)	Prec@1 37.109 (37.058)	Prec@5 62.500 (66.683)
Epoch: [65][1970/7045]	Time 0.110 (0.259)	Data 0.058 (0.196)	Loss 2.7091 (2.6250)	Prec@1 35.547 (37.057)	Prec@5 63.672 (66.678)
Epoch: [65][1980/7045]	Time 0.102 (0.259)	Data 0.013 (0.196)	Loss 2.5959 (2.6251)	Prec@1 40.625 (37.057)	Prec@5 65.625 (66.679)
Epoch: [65][1990/7045]	Time 0.101 (0.260)	Data 0.004 (0.197)	Loss 3.0133 (2.6253)	Prec@1 29.688 (37.054)	Prec@5 60.938 (66.678)
Epoch: [65][2000/7045]	Time 0.266 (0.260)	Data 0.215 (0.197)	Loss 2.8081 (2.6256)	Prec@1 34.766 (37.047)	Prec@5 67.188 (66.672)
Epoch: [65][2010/7045]	Time 0.102 (0.260)	Data 0.001 (0.197)	Loss 2.5113 (2.6255)	Prec@1 38.281 (37.052)	Prec@5 68.359 (66.670)
Epoch: [65][2020/7045]	Time 0.114 (0.260)	Data 0.063 (0.197)	Loss 2.5358 (2.6257)	Prec@1 37.500 (37.047)	Prec@5 68.359 (66.661)
Epoch: [65][2030/7045]	Time 0.354 (0.260)	Data 0.304 (0.197)	Loss 2.5940 (2.6259)	Prec@1 35.547 (37.043)	Prec@5 66.797 (66.657)
Epoch: [65][2040/7045]	Time 0.197 (0.260)	Data 0.141 (0.197)	Loss 2.6488 (2.6260)	Prec@1 40.234 (37.042)	Prec@5 66.016 (66.658)
Epoch: [65][2050/7045]	Time 0.585 (0.260)	Data 0.533 (0.197)	Loss 2.6411 (2.6260)	Prec@1 39.453 (37.046)	Prec@5 66.797 (66.661)
Epoch: [65][2060/7045]	Time 0.286 (0.260)	Data 0.227 (0.197)	Loss 2.5637 (2.6263)	Prec@1 37.891 (37.038)	Prec@5 67.188 (66.654)
Epoch: [65][2070/7045]	Time 0.399 (0.260)	Data 0.340 (0.197)	Loss 2.6468 (2.6265)	Prec@1 35.938 (37.033)	Prec@5 65.625 (66.652)
Epoch: [65][2080/7045]	Time 0.352 (0.260)	Data 0.302 (0.197)	Loss 2.6464 (2.6263)	Prec@1 36.328 (37.036)	Prec@5 67.578 (66.656)
Epoch: [65][2090/7045]	Time 0.140 (0.260)	Data 0.089 (0.197)	Loss 2.5986 (2.6268)	Prec@1 36.719 (37.030)	Prec@5 66.016 (66.648)
Epoch: [65][2100/7045]	Time 0.287 (0.260)	Data 0.235 (0.197)	Loss 2.8724 (2.6270)	Prec@1 32.422 (37.028)	Prec@5 62.109 (66.638)
Epoch: [65][2110/7045]	Time 0.103 (0.260)	Data 0.008 (0.197)	Loss 2.7083 (2.6271)	Prec@1 36.719 (37.026)	Prec@5 65.625 (66.641)
Epoch: [65][2120/7045]	Time 0.160 (0.260)	Data 0.110 (0.197)	Loss 2.6795 (2.6271)	Prec@1 30.859 (37.026)	Prec@5 68.750 (66.648)
Epoch: [65][2130/7045]	Time 0.141 (0.260)	Data 0.090 (0.197)	Loss 2.7806 (2.6274)	Prec@1 33.203 (37.024)	Prec@5 61.719 (66.644)
Epoch: [65][2140/7045]	Time 0.543 (0.260)	Data 0.480 (0.197)	Loss 2.5977 (2.6275)	Prec@1 37.109 (37.020)	Prec@5 66.797 (66.643)
Epoch: [65][2150/7045]	Time 0.106 (0.260)	Data 0.001 (0.197)	Loss 2.5613 (2.6274)	Prec@1 39.062 (37.020)	Prec@5 70.703 (66.645)
Epoch: [65][2160/7045]	Time 0.635 (0.260)	Data 0.584 (0.197)	Loss 2.5548 (2.6271)	Prec@1 37.891 (37.025)	Prec@5 68.359 (66.648)
Epoch: [65][2170/7045]	Time 0.108 (0.260)	Data 0.001 (0.196)	Loss 2.7409 (2.6272)	Prec@1 34.375 (37.018)	Prec@5 60.938 (66.647)
Epoch: [65][2180/7045]	Time 0.608 (0.260)	Data 0.557 (0.197)	Loss 2.6246 (2.6274)	Prec@1 35.938 (37.011)	Prec@5 64.844 (66.641)
Epoch: [65][2190/7045]	Time 0.115 (0.260)	Data 0.064 (0.196)	Loss 2.6959 (2.6272)	Prec@1 33.203 (37.013)	Prec@5 62.109 (66.639)
Epoch: [65][2200/7045]	Time 0.422 (0.260)	Data 0.371 (0.196)	Loss 2.6444 (2.6271)	Prec@1 35.938 (37.013)	Prec@5 66.797 (66.643)
Epoch: [65][2210/7045]	Time 0.099 (0.259)	Data 0.001 (0.196)	Loss 2.5989 (2.6271)	Prec@1 33.594 (37.003)	Prec@5 65.625 (66.645)
Epoch: [65][2220/7045]	Time 0.145 (0.260)	Data 0.094 (0.197)	Loss 2.4434 (2.6271)	Prec@1 40.234 (37.005)	Prec@5 70.312 (66.646)
Epoch: [65][2230/7045]	Time 0.123 (0.260)	Data 0.071 (0.197)	Loss 2.6605 (2.6268)	Prec@1 35.547 (37.015)	Prec@5 66.016 (66.648)
Epoch: [65][2240/7045]	Time 0.162 (0.260)	Data 0.110 (0.197)	Loss 2.6094 (2.6268)	Prec@1 35.938 (37.011)	Prec@5 67.578 (66.651)
Epoch: [65][2250/7045]	Time 0.101 (0.260)	Data 0.004 (0.197)	Loss 2.5969 (2.6270)	Prec@1 40.625 (37.008)	Prec@5 67.969 (66.647)
Epoch: [65][2260/7045]	Time 0.332 (0.260)	Data 0.275 (0.197)	Loss 2.5253 (2.6269)	Prec@1 38.281 (37.008)	Prec@5 72.266 (66.653)
Epoch: [65][2270/7045]	Time 0.103 (0.260)	Data 0.001 (0.197)	Loss 2.7155 (2.6269)	Prec@1 37.109 (37.007)	Prec@5 65.234 (66.657)
Epoch: [65][2280/7045]	Time 0.461 (0.260)	Data 0.411 (0.197)	Loss 2.7112 (2.6268)	Prec@1 37.500 (37.007)	Prec@5 62.109 (66.658)
Epoch: [65][2290/7045]	Time 0.102 (0.260)	Data 0.002 (0.197)	Loss 2.5872 (2.6265)	Prec@1 36.328 (37.009)	Prec@5 66.016 (66.664)
Epoch: [65][2300/7045]	Time 0.428 (0.260)	Data 0.372 (0.197)	Loss 2.5472 (2.6266)	Prec@1 37.109 (37.012)	Prec@5 67.969 (66.661)
Epoch: [65][2310/7045]	Time 0.102 (0.260)	Data 0.001 (0.197)	Loss 2.7992 (2.6266)	Prec@1 31.641 (37.012)	Prec@5 62.109 (66.663)
Epoch: [65][2320/7045]	Time 0.503 (0.260)	Data 0.445 (0.197)	Loss 2.6036 (2.6263)	Prec@1 36.328 (37.013)	Prec@5 65.625 (66.665)
Epoch: [65][2330/7045]	Time 0.261 (0.260)	Data 0.209 (0.197)	Loss 2.4996 (2.6262)	Prec@1 38.672 (37.016)	Prec@5 67.969 (66.671)
Epoch: [65][2340/7045]	Time 0.206 (0.260)	Data 0.155 (0.197)	Loss 2.6682 (2.6263)	Prec@1 38.281 (37.016)	Prec@5 66.797 (66.667)
Epoch: [65][2350/7045]	Time 0.397 (0.260)	Data 0.346 (0.197)	Loss 2.5275 (2.6263)	Prec@1 39.453 (37.019)	Prec@5 71.875 (66.673)
Epoch: [65][2360/7045]	Time 0.102 (0.260)	Data 0.004 (0.197)	Loss 2.7901 (2.6264)	Prec@1 33.984 (37.020)	Prec@5 64.844 (66.668)
Epoch: [65][2370/7045]	Time 0.542 (0.261)	Data 0.490 (0.197)	Loss 2.5811 (2.6262)	Prec@1 39.453 (37.027)	Prec@5 69.531 (66.672)
Epoch: [65][2380/7045]	Time 0.108 (0.260)	Data 0.004 (0.197)	Loss 2.5917 (2.6263)	Prec@1 41.406 (37.027)	Prec@5 68.359 (66.667)
Epoch: [65][2390/7045]	Time 0.367 (0.261)	Data 0.315 (0.197)	Loss 2.7210 (2.6266)	Prec@1 31.641 (37.017)	Prec@5 63.281 (66.661)
Epoch: [65][2400/7045]	Time 0.151 (0.260)	Data 0.100 (0.197)	Loss 2.6478 (2.6267)	Prec@1 35.547 (37.015)	Prec@5 65.625 (66.660)
Epoch: [65][2410/7045]	Time 0.232 (0.260)	Data 0.181 (0.197)	Loss 2.7106 (2.6268)	Prec@1 36.328 (37.013)	Prec@5 66.406 (66.660)
Epoch: [65][2420/7045]	Time 0.255 (0.260)	Data 0.203 (0.197)	Loss 2.5971 (2.6269)	Prec@1 35.547 (37.009)	Prec@5 67.188 (66.656)
Epoch: [65][2430/7045]	Time 0.359 (0.260)	Data 0.302 (0.197)	Loss 2.4707 (2.6269)	Prec@1 38.281 (37.009)	Prec@5 67.578 (66.653)
Epoch: [65][2440/7045]	Time 0.442 (0.261)	Data 0.391 (0.198)	Loss 2.5314 (2.6270)	Prec@1 37.891 (37.008)	Prec@5 67.188 (66.652)
Epoch: [65][2450/7045]	Time 0.102 (0.261)	Data 0.001 (0.198)	Loss 2.4788 (2.6269)	Prec@1 38.281 (37.015)	Prec@5 71.484 (66.655)
Epoch: [65][2460/7045]	Time 0.261 (0.261)	Data 0.204 (0.198)	Loss 2.8036 (2.6270)	Prec@1 36.328 (37.013)	Prec@5 63.672 (66.649)
Epoch: [65][2470/7045]	Time 0.196 (0.261)	Data 0.146 (0.197)	Loss 2.5612 (2.6268)	Prec@1 37.891 (37.010)	Prec@5 66.406 (66.652)
Epoch: [65][2480/7045]	Time 0.105 (0.261)	Data 0.052 (0.197)	Loss 2.7539 (2.6271)	Prec@1 33.594 (37.006)	Prec@5 60.938 (66.642)
Epoch: [65][2490/7045]	Time 0.247 (0.260)	Data 0.195 (0.197)	Loss 2.5148 (2.6271)	Prec@1 43.359 (37.012)	Prec@5 69.922 (66.644)
Epoch: [65][2500/7045]	Time 0.195 (0.260)	Data 0.136 (0.197)	Loss 2.6071 (2.6271)	Prec@1 36.328 (37.010)	Prec@5 68.750 (66.642)
Epoch: [65][2510/7045]	Time 0.329 (0.260)	Data 0.278 (0.197)	Loss 2.6646 (2.6269)	Prec@1 35.938 (37.020)	Prec@5 64.844 (66.643)
Epoch: [65][2520/7045]	Time 0.110 (0.261)	Data 0.051 (0.198)	Loss 2.5193 (2.6270)	Prec@1 42.188 (37.022)	Prec@5 68.359 (66.639)
Epoch: [65][2530/7045]	Time 0.261 (0.261)	Data 0.210 (0.198)	Loss 2.6374 (2.6272)	Prec@1 37.891 (37.018)	Prec@5 69.531 (66.642)
Epoch: [65][2540/7045]	Time 0.100 (0.261)	Data 0.045 (0.198)	Loss 2.6992 (2.6274)	Prec@1 36.719 (37.018)	Prec@5 66.797 (66.641)
Epoch: [65][2550/7045]	Time 0.347 (0.261)	Data 0.296 (0.198)	Loss 2.4927 (2.6272)	Prec@1 40.234 (37.020)	Prec@5 69.531 (66.644)
Epoch: [65][2560/7045]	Time 0.110 (0.261)	Data 0.006 (0.198)	Loss 2.7809 (2.6273)	Prec@1 33.203 (37.018)	Prec@5 64.844 (66.639)
Epoch: [65][2570/7045]	Time 0.287 (0.260)	Data 0.235 (0.198)	Loss 2.4280 (2.6271)	Prec@1 37.109 (37.018)	Prec@5 69.922 (66.642)
Epoch: [65][2580/7045]	Time 0.106 (0.260)	Data 0.053 (0.198)	Loss 2.4712 (2.6269)	Prec@1 39.062 (37.021)	Prec@5 68.359 (66.642)
Epoch: [65][2590/7045]	Time 0.198 (0.260)	Data 0.147 (0.197)	Loss 2.6609 (2.6272)	Prec@1 38.281 (37.017)	Prec@5 65.625 (66.637)
Epoch: [65][2600/7045]	Time 0.108 (0.261)	Data 0.055 (0.198)	Loss 2.6091 (2.6270)	Prec@1 39.062 (37.020)	Prec@5 65.234 (66.641)
Epoch: [65][2610/7045]	Time 0.186 (0.261)	Data 0.135 (0.198)	Loss 2.5084 (2.6270)	Prec@1 38.281 (37.018)	Prec@5 67.188 (66.639)
Epoch: [65][2620/7045]	Time 0.101 (0.261)	Data 0.008 (0.198)	Loss 2.4584 (2.6269)	Prec@1 39.062 (37.019)	Prec@5 69.141 (66.642)
Epoch: [65][2630/7045]	Time 0.102 (0.261)	Data 0.003 (0.198)	Loss 2.3084 (2.6267)	Prec@1 44.922 (37.021)	Prec@5 73.047 (66.646)
Epoch: [65][2640/7045]	Time 0.102 (0.261)	Data 0.004 (0.198)	Loss 2.4806 (2.6268)	Prec@1 37.891 (37.019)	Prec@5 68.359 (66.645)
Epoch: [65][2650/7045]	Time 0.103 (0.261)	Data 0.001 (0.198)	Loss 2.5413 (2.6269)	Prec@1 38.281 (37.011)	Prec@5 69.141 (66.639)
Epoch: [65][2660/7045]	Time 0.109 (0.260)	Data 0.056 (0.198)	Loss 2.6593 (2.6273)	Prec@1 36.719 (37.006)	Prec@5 65.625 (66.627)
Epoch: [65][2670/7045]	Time 0.260 (0.261)	Data 0.210 (0.198)	Loss 2.7119 (2.6275)	Prec@1 35.156 (37.002)	Prec@5 65.234 (66.628)
Epoch: [65][2680/7045]	Time 0.475 (0.261)	Data 0.424 (0.198)	Loss 2.5664 (2.6274)	Prec@1 35.156 (37.001)	Prec@5 68.750 (66.629)
Epoch: [65][2690/7045]	Time 0.151 (0.261)	Data 0.099 (0.198)	Loss 2.4352 (2.6274)	Prec@1 41.406 (36.999)	Prec@5 69.922 (66.632)
Epoch: [65][2700/7045]	Time 0.835 (0.261)	Data 0.785 (0.198)	Loss 2.7504 (2.6273)	Prec@1 33.203 (37.004)	Prec@5 64.453 (66.631)
Epoch: [65][2710/7045]	Time 0.101 (0.261)	Data 0.001 (0.198)	Loss 2.6658 (2.6276)	Prec@1 36.719 (36.992)	Prec@5 69.141 (66.626)
Epoch: [65][2720/7045]	Time 0.679 (0.261)	Data 0.629 (0.198)	Loss 2.6437 (2.6277)	Prec@1 36.328 (36.991)	Prec@5 66.406 (66.618)
Epoch: [65][2730/7045]	Time 0.102 (0.261)	Data 0.001 (0.198)	Loss 2.5993 (2.6280)	Prec@1 37.500 (36.988)	Prec@5 68.359 (66.613)
Epoch: [65][2740/7045]	Time 0.110 (0.261)	Data 0.059 (0.198)	Loss 2.6567 (2.6278)	Prec@1 37.891 (36.993)	Prec@5 65.234 (66.618)
Epoch: [65][2750/7045]	Time 0.103 (0.261)	Data 0.001 (0.198)	Loss 2.7617 (2.6279)	Prec@1 33.594 (36.988)	Prec@5 63.281 (66.614)
Epoch: [65][2760/7045]	Time 0.102 (0.261)	Data 0.009 (0.198)	Loss 2.6781 (2.6281)	Prec@1 38.281 (36.990)	Prec@5 67.188 (66.613)
Epoch: [65][2770/7045]	Time 0.406 (0.261)	Data 0.355 (0.198)	Loss 2.7938 (2.6282)	Prec@1 34.766 (36.987)	Prec@5 64.453 (66.609)
Epoch: [65][2780/7045]	Time 0.103 (0.261)	Data 0.008 (0.198)	Loss 2.7039 (2.6284)	Prec@1 36.719 (36.984)	Prec@5 65.234 (66.608)
Epoch: [65][2790/7045]	Time 0.504 (0.261)	Data 0.453 (0.198)	Loss 2.7149 (2.6285)	Prec@1 36.328 (36.982)	Prec@5 63.281 (66.601)
Epoch: [65][2800/7045]	Time 0.241 (0.261)	Data 0.183 (0.198)	Loss 2.5570 (2.6285)	Prec@1 37.109 (36.981)	Prec@5 69.922 (66.600)
Epoch: [65][2810/7045]	Time 0.278 (0.261)	Data 0.221 (0.198)	Loss 2.5094 (2.6286)	Prec@1 38.281 (36.981)	Prec@5 67.188 (66.593)
Epoch: [65][2820/7045]	Time 0.416 (0.261)	Data 0.364 (0.198)	Loss 2.4955 (2.6285)	Prec@1 39.453 (36.981)	Prec@5 69.141 (66.598)
Epoch: [65][2830/7045]	Time 0.102 (0.261)	Data 0.001 (0.198)	Loss 2.6405 (2.6284)	Prec@1 35.156 (36.980)	Prec@5 64.844 (66.600)
Epoch: [65][2840/7045]	Time 0.267 (0.261)	Data 0.214 (0.197)	Loss 2.6394 (2.6284)	Prec@1 41.016 (36.981)	Prec@5 66.406 (66.599)
Epoch: [65][2850/7045]	Time 0.106 (0.261)	Data 0.053 (0.197)	Loss 2.7165 (2.6284)	Prec@1 37.109 (36.979)	Prec@5 62.500 (66.596)
Epoch: [65][2860/7045]	Time 0.103 (0.261)	Data 0.001 (0.197)	Loss 2.6239 (2.6283)	Prec@1 41.797 (36.982)	Prec@5 67.188 (66.598)
Epoch: [65][2870/7045]	Time 0.180 (0.260)	Data 0.129 (0.197)	Loss 2.7882 (2.6284)	Prec@1 31.250 (36.977)	Prec@5 62.109 (66.597)
Epoch: [65][2880/7045]	Time 0.113 (0.260)	Data 0.054 (0.197)	Loss 2.4437 (2.6286)	Prec@1 41.797 (36.972)	Prec@5 70.703 (66.598)
Epoch: [65][2890/7045]	Time 0.101 (0.260)	Data 0.001 (0.197)	Loss 2.5494 (2.6284)	Prec@1 36.719 (36.976)	Prec@5 68.750 (66.599)
Epoch: [65][2900/7045]	Time 0.096 (0.261)	Data 0.001 (0.198)	Loss 2.7695 (2.6284)	Prec@1 32.812 (36.972)	Prec@5 63.281 (66.599)
Epoch: [65][2910/7045]	Time 0.342 (0.261)	Data 0.291 (0.198)	Loss 2.5530 (2.6284)	Prec@1 37.891 (36.971)	Prec@5 68.750 (66.601)
Epoch: [65][2920/7045]	Time 0.236 (0.261)	Data 0.186 (0.198)	Loss 2.7132 (2.6285)	Prec@1 33.984 (36.970)	Prec@5 64.062 (66.598)
Epoch: [65][2930/7045]	Time 0.807 (0.261)	Data 0.756 (0.198)	Loss 2.6760 (2.6285)	Prec@1 33.203 (36.972)	Prec@5 64.062 (66.595)
Epoch: [65][2940/7045]	Time 0.160 (0.261)	Data 0.109 (0.197)	Loss 2.5903 (2.6287)	Prec@1 36.719 (36.971)	Prec@5 66.797 (66.590)
Epoch: [65][2950/7045]	Time 0.601 (0.261)	Data 0.544 (0.197)	Loss 2.6659 (2.6289)	Prec@1 36.328 (36.969)	Prec@5 64.062 (66.590)
Epoch: [65][2960/7045]	Time 0.131 (0.261)	Data 0.080 (0.197)	Loss 2.7452 (2.6289)	Prec@1 35.938 (36.964)	Prec@5 64.453 (66.593)
Epoch: [65][2970/7045]	Time 0.109 (0.261)	Data 0.047 (0.197)	Loss 2.5877 (2.6290)	Prec@1 35.547 (36.962)	Prec@5 65.234 (66.589)
Epoch: [65][2980/7045]	Time 0.214 (0.261)	Data 0.164 (0.198)	Loss 2.6052 (2.6289)	Prec@1 37.109 (36.960)	Prec@5 62.109 (66.589)
Epoch: [65][2990/7045]	Time 0.111 (0.261)	Data 0.060 (0.198)	Loss 2.7777 (2.6289)	Prec@1 33.984 (36.963)	Prec@5 60.938 (66.592)
Epoch: [65][3000/7045]	Time 0.442 (0.261)	Data 0.392 (0.198)	Loss 2.7070 (2.6290)	Prec@1 39.062 (36.962)	Prec@5 64.844 (66.589)
Epoch: [65][3010/7045]	Time 0.102 (0.261)	Data 0.001 (0.198)	Loss 2.7005 (2.6295)	Prec@1 36.328 (36.956)	Prec@5 63.672 (66.582)
Epoch: [65][3020/7045]	Time 0.564 (0.261)	Data 0.508 (0.198)	Loss 2.4853 (2.6293)	Prec@1 39.453 (36.959)	Prec@5 72.656 (66.590)
Epoch: [65][3030/7045]	Time 0.244 (0.261)	Data 0.192 (0.197)	Loss 2.6797 (2.6293)	Prec@1 35.156 (36.958)	Prec@5 65.234 (66.589)
Epoch: [65][3040/7045]	Time 0.493 (0.261)	Data 0.437 (0.197)	Loss 2.5313 (2.6290)	Prec@1 36.719 (36.963)	Prec@5 71.875 (66.595)
Epoch: [65][3050/7045]	Time 1.761 (0.261)	Data 1.711 (0.198)	Loss 2.6057 (2.6291)	Prec@1 33.203 (36.962)	Prec@5 67.969 (66.596)
Epoch: [65][3060/7045]	Time 0.427 (0.261)	Data 0.376 (0.198)	Loss 2.7918 (2.6291)	Prec@1 34.766 (36.962)	Prec@5 60.938 (66.598)
Epoch: [65][3070/7045]	Time 0.274 (0.261)	Data 0.223 (0.198)	Loss 2.6453 (2.6289)	Prec@1 33.984 (36.965)	Prec@5 65.234 (66.600)
Epoch: [65][3080/7045]	Time 0.222 (0.261)	Data 0.164 (0.198)	Loss 2.8149 (2.6288)	Prec@1 31.641 (36.963)	Prec@5 60.938 (66.603)
Epoch: [65][3090/7045]	Time 0.308 (0.261)	Data 0.258 (0.198)	Loss 2.5009 (2.6287)	Prec@1 38.281 (36.966)	Prec@5 67.188 (66.602)
Epoch: [65][3100/7045]	Time 0.103 (0.261)	Data 0.001 (0.198)	Loss 2.5057 (2.6287)	Prec@1 41.406 (36.968)	Prec@5 68.359 (66.603)
Epoch: [65][3110/7045]	Time 0.160 (0.261)	Data 0.109 (0.197)	Loss 2.6832 (2.6287)	Prec@1 34.375 (36.968)	Prec@5 66.016 (66.606)
Epoch: [65][3120/7045]	Time 0.102 (0.261)	Data 0.002 (0.197)	Loss 2.4969 (2.6286)	Prec@1 35.156 (36.967)	Prec@5 69.141 (66.611)
Epoch: [65][3130/7045]	Time 0.102 (0.261)	Data 0.001 (0.198)	Loss 2.8254 (2.6288)	Prec@1 34.766 (36.968)	Prec@5 64.453 (66.608)
Epoch: [65][3140/7045]	Time 0.273 (0.261)	Data 0.222 (0.198)	Loss 2.7280 (2.6288)	Prec@1 35.938 (36.969)	Prec@5 65.625 (66.611)
Epoch: [65][3150/7045]	Time 0.175 (0.261)	Data 0.123 (0.198)	Loss 2.6750 (2.6286)	Prec@1 34.766 (36.971)	Prec@5 63.672 (66.616)
Epoch: [65][3160/7045]	Time 0.226 (0.261)	Data 0.176 (0.198)	Loss 2.5670 (2.6285)	Prec@1 34.375 (36.972)	Prec@5 64.453 (66.614)
Epoch: [65][3170/7045]	Time 0.266 (0.261)	Data 0.214 (0.198)	Loss 2.6209 (2.6284)	Prec@1 36.328 (36.974)	Prec@5 66.406 (66.615)
Epoch: [65][3180/7045]	Time 0.368 (0.261)	Data 0.317 (0.198)	Loss 2.7649 (2.6285)	Prec@1 32.031 (36.970)	Prec@5 62.500 (66.616)
Epoch: [65][3190/7045]	Time 0.226 (0.261)	Data 0.173 (0.197)	Loss 2.5915 (2.6283)	Prec@1 37.891 (36.973)	Prec@5 68.750 (66.620)
Epoch: [65][3200/7045]	Time 0.101 (0.261)	Data 0.001 (0.198)	Loss 2.9035 (2.6284)	Prec@1 35.938 (36.970)	Prec@5 67.188 (66.618)
Epoch: [65][3210/7045]	Time 0.100 (0.261)	Data 0.047 (0.198)	Loss 2.6607 (2.6286)	Prec@1 39.453 (36.971)	Prec@5 66.797 (66.618)
Epoch: [65][3220/7045]	Time 0.155 (0.261)	Data 0.105 (0.198)	Loss 2.4659 (2.6284)	Prec@1 38.672 (36.970)	Prec@5 70.312 (66.620)
Epoch: [65][3230/7045]	Time 0.604 (0.261)	Data 0.552 (0.198)	Loss 2.6605 (2.6284)	Prec@1 35.938 (36.968)	Prec@5 66.406 (66.624)
Epoch: [65][3240/7045]	Time 0.107 (0.261)	Data 0.048 (0.198)	Loss 2.5655 (2.6284)	Prec@1 39.844 (36.969)	Prec@5 66.016 (66.624)
Epoch: [65][3250/7045]	Time 0.312 (0.261)	Data 0.260 (0.198)	Loss 2.6731 (2.6281)	Prec@1 33.984 (36.973)	Prec@5 62.500 (66.627)
Epoch: [65][3260/7045]	Time 0.152 (0.261)	Data 0.100 (0.198)	Loss 2.6308 (2.6280)	Prec@1 36.328 (36.975)	Prec@5 63.281 (66.626)
Epoch: [65][3270/7045]	Time 0.116 (0.261)	Data 0.056 (0.198)	Loss 2.7577 (2.6281)	Prec@1 37.500 (36.974)	Prec@5 64.844 (66.625)
Epoch: [65][3280/7045]	Time 0.101 (0.261)	Data 0.001 (0.198)	Loss 2.7970 (2.6281)	Prec@1 35.547 (36.977)	Prec@5 64.844 (66.628)
Epoch: [65][3290/7045]	Time 0.102 (0.261)	Data 0.010 (0.198)	Loss 2.6416 (2.6283)	Prec@1 39.844 (36.976)	Prec@5 67.969 (66.625)
Epoch: [65][3300/7045]	Time 0.103 (0.261)	Data 0.001 (0.198)	Loss 2.5711 (2.6283)	Prec@1 38.281 (36.974)	Prec@5 66.406 (66.626)
Epoch: [65][3310/7045]	Time 0.102 (0.261)	Data 0.004 (0.198)	Loss 2.5720 (2.6280)	Prec@1 32.812 (36.979)	Prec@5 68.750 (66.630)
Epoch: [65][3320/7045]	Time 0.394 (0.261)	Data 0.344 (0.198)	Loss 2.6529 (2.6280)	Prec@1 34.375 (36.979)	Prec@5 65.234 (66.628)
Epoch: [65][3330/7045]	Time 0.102 (0.261)	Data 0.047 (0.198)	Loss 2.5998 (2.6280)	Prec@1 35.547 (36.975)	Prec@5 68.750 (66.628)
Epoch: [65][3340/7045]	Time 0.546 (0.261)	Data 0.488 (0.198)	Loss 2.7234 (2.6281)	Prec@1 37.891 (36.973)	Prec@5 65.234 (66.628)
Epoch: [65][3350/7045]	Time 0.111 (0.261)	Data 0.059 (0.198)	Loss 2.8447 (2.6282)	Prec@1 31.250 (36.973)	Prec@5 61.719 (66.626)
Epoch: [65][3360/7045]	Time 0.547 (0.261)	Data 0.488 (0.198)	Loss 2.4822 (2.6282)	Prec@1 39.062 (36.971)	Prec@5 70.703 (66.628)
Epoch: [65][3370/7045]	Time 0.103 (0.261)	Data 0.050 (0.198)	Loss 2.6093 (2.6283)	Prec@1 41.797 (36.969)	Prec@5 64.453 (66.626)
Epoch: [65][3380/7045]	Time 0.628 (0.261)	Data 0.571 (0.198)	Loss 2.8054 (2.6284)	Prec@1 32.812 (36.968)	Prec@5 61.328 (66.625)
Epoch: [65][3390/7045]	Time 0.109 (0.261)	Data 0.001 (0.198)	Loss 2.6135 (2.6284)	Prec@1 39.453 (36.970)	Prec@5 64.453 (66.625)
Epoch: [65][3400/7045]	Time 0.636 (0.261)	Data 0.585 (0.198)	Loss 2.5663 (2.6284)	Prec@1 39.844 (36.971)	Prec@5 69.531 (66.625)
Epoch: [65][3410/7045]	Time 0.109 (0.261)	Data 0.001 (0.198)	Loss 2.5724 (2.6283)	Prec@1 35.547 (36.973)	Prec@5 66.797 (66.627)
Epoch: [65][3420/7045]	Time 0.617 (0.261)	Data 0.566 (0.198)	Loss 2.4573 (2.6284)	Prec@1 37.891 (36.967)	Prec@5 72.266 (66.626)
Epoch: [65][3430/7045]	Time 0.108 (0.261)	Data 0.001 (0.198)	Loss 2.6782 (2.6284)	Prec@1 35.938 (36.967)	Prec@5 66.016 (66.627)
Epoch: [65][3440/7045]	Time 0.570 (0.261)	Data 0.518 (0.198)	Loss 2.6765 (2.6285)	Prec@1 36.328 (36.963)	Prec@5 67.578 (66.626)
Epoch: [65][3450/7045]	Time 0.108 (0.261)	Data 0.051 (0.198)	Loss 2.7567 (2.6286)	Prec@1 36.719 (36.962)	Prec@5 66.406 (66.627)
Epoch: [65][3460/7045]	Time 0.627 (0.261)	Data 0.576 (0.198)	Loss 2.7832 (2.6287)	Prec@1 35.156 (36.962)	Prec@5 62.500 (66.624)
Epoch: [65][3470/7045]	Time 0.108 (0.261)	Data 0.004 (0.198)	Loss 2.6239 (2.6287)	Prec@1 36.328 (36.965)	Prec@5 66.797 (66.623)
Epoch: [65][3480/7045]	Time 0.662 (0.261)	Data 0.611 (0.198)	Loss 2.5094 (2.6287)	Prec@1 39.844 (36.965)	Prec@5 72.266 (66.623)
Epoch: [65][3490/7045]	Time 0.101 (0.261)	Data 0.008 (0.198)	Loss 2.6647 (2.6287)	Prec@1 33.984 (36.964)	Prec@5 66.797 (66.622)
Epoch: [65][3500/7045]	Time 0.582 (0.261)	Data 0.524 (0.198)	Loss 2.5067 (2.6286)	Prec@1 34.375 (36.967)	Prec@5 70.312 (66.625)
Epoch: [65][3510/7045]	Time 0.130 (0.261)	Data 0.078 (0.198)	Loss 2.5036 (2.6286)	Prec@1 42.969 (36.968)	Prec@5 67.969 (66.625)
Epoch: [65][3520/7045]	Time 0.639 (0.262)	Data 0.588 (0.198)	Loss 2.5939 (2.6287)	Prec@1 37.109 (36.965)	Prec@5 67.969 (66.624)
Epoch: [65][3530/7045]	Time 0.187 (0.261)	Data 0.136 (0.198)	Loss 2.6050 (2.6287)	Prec@1 37.109 (36.967)	Prec@5 65.625 (66.626)
Epoch: [65][3540/7045]	Time 0.245 (0.261)	Data 0.194 (0.198)	Loss 2.6110 (2.6289)	Prec@1 35.156 (36.963)	Prec@5 66.797 (66.622)
Epoch: [65][3550/7045]	Time 0.101 (0.261)	Data 0.001 (0.198)	Loss 2.6384 (2.6288)	Prec@1 37.109 (36.967)	Prec@5 68.750 (66.624)
Epoch: [65][3560/7045]	Time 0.101 (0.261)	Data 0.046 (0.198)	Loss 2.6044 (2.6288)	Prec@1 34.375 (36.965)	Prec@5 64.062 (66.623)
Epoch: [65][3570/7045]	Time 0.149 (0.261)	Data 0.097 (0.198)	Loss 2.6853 (2.6289)	Prec@1 35.156 (36.961)	Prec@5 69.141 (66.621)
Epoch: [65][3580/7045]	Time 0.187 (0.262)	Data 0.136 (0.198)	Loss 2.7908 (2.6287)	Prec@1 36.719 (36.966)	Prec@5 66.406 (66.623)
Epoch: [65][3590/7045]	Time 0.188 (0.262)	Data 0.136 (0.198)	Loss 2.6061 (2.6287)	Prec@1 37.500 (36.966)	Prec@5 66.016 (66.623)
Epoch: [65][3600/7045]	Time 0.149 (0.262)	Data 0.098 (0.198)	Loss 2.6671 (2.6288)	Prec@1 33.984 (36.966)	Prec@5 64.844 (66.622)
Epoch: [65][3610/7045]	Time 0.228 (0.261)	Data 0.177 (0.198)	Loss 2.6305 (2.6288)	Prec@1 34.766 (36.964)	Prec@5 67.188 (66.622)
Epoch: [65][3620/7045]	Time 0.109 (0.261)	Data 0.001 (0.198)	Loss 2.6837 (2.6288)	Prec@1 32.422 (36.962)	Prec@5 65.625 (66.626)
Epoch: [65][3630/7045]	Time 0.356 (0.261)	Data 0.305 (0.198)	Loss 2.7616 (2.6288)	Prec@1 35.547 (36.965)	Prec@5 66.016 (66.626)
Epoch: [65][3640/7045]	Time 0.159 (0.261)	Data 0.108 (0.198)	Loss 2.6602 (2.6287)	Prec@1 37.891 (36.967)	Prec@5 64.844 (66.627)
Epoch: [65][3650/7045]	Time 0.305 (0.261)	Data 0.253 (0.198)	Loss 2.8374 (2.6287)	Prec@1 30.859 (36.964)	Prec@5 64.453 (66.628)
Epoch: [65][3660/7045]	Time 0.101 (0.262)	Data 0.049 (0.199)	Loss 2.7259 (2.6287)	Prec@1 37.109 (36.964)	Prec@5 64.844 (66.627)
Epoch: [65][3670/7045]	Time 0.216 (0.262)	Data 0.164 (0.199)	Loss 2.4257 (2.6288)	Prec@1 39.062 (36.962)	Prec@5 71.875 (66.627)
Epoch: [65][3680/7045]	Time 0.102 (0.262)	Data 0.008 (0.198)	Loss 2.8355 (2.6288)	Prec@1 35.156 (36.960)	Prec@5 60.547 (66.624)
Epoch: [65][3690/7045]	Time 0.457 (0.262)	Data 0.398 (0.198)	Loss 2.7168 (2.6289)	Prec@1 36.328 (36.961)	Prec@5 64.844 (66.625)
Epoch: [65][3700/7045]	Time 0.192 (0.262)	Data 0.141 (0.198)	Loss 2.4171 (2.6288)	Prec@1 39.844 (36.964)	Prec@5 70.703 (66.627)
Epoch: [65][3710/7045]	Time 0.618 (0.262)	Data 0.562 (0.198)	Loss 2.5980 (2.6288)	Prec@1 42.578 (36.966)	Prec@5 67.969 (66.625)
Epoch: [65][3720/7045]	Time 0.139 (0.261)	Data 0.088 (0.198)	Loss 2.4877 (2.6287)	Prec@1 39.453 (36.966)	Prec@5 67.969 (66.627)
Epoch: [65][3730/7045]	Time 1.949 (0.262)	Data 1.897 (0.199)	Loss 2.6970 (2.6285)	Prec@1 33.984 (36.969)	Prec@5 63.281 (66.629)
Epoch: [65][3740/7045]	Time 0.134 (0.262)	Data 0.083 (0.199)	Loss 2.7313 (2.6288)	Prec@1 37.109 (36.965)	Prec@5 63.672 (66.622)
Epoch: [65][3750/7045]	Time 0.426 (0.262)	Data 0.370 (0.199)	Loss 2.8534 (2.6287)	Prec@1 35.547 (36.970)	Prec@5 63.672 (66.625)
Epoch: [65][3760/7045]	Time 0.101 (0.262)	Data 0.050 (0.199)	Loss 2.7310 (2.6286)	Prec@1 34.766 (36.971)	Prec@5 64.062 (66.629)
Epoch: [65][3770/7045]	Time 0.274 (0.262)	Data 0.222 (0.199)	Loss 2.6317 (2.6286)	Prec@1 37.500 (36.971)	Prec@5 64.453 (66.628)
Epoch: [65][3780/7045]	Time 0.101 (0.261)	Data 0.048 (0.198)	Loss 2.4710 (2.6285)	Prec@1 39.453 (36.971)	Prec@5 68.750 (66.633)
Epoch: [65][3790/7045]	Time 0.109 (0.261)	Data 0.005 (0.198)	Loss 2.7471 (2.6285)	Prec@1 32.422 (36.972)	Prec@5 65.234 (66.632)
Epoch: [65][3800/7045]	Time 0.159 (0.261)	Data 0.107 (0.198)	Loss 2.7011 (2.6285)	Prec@1 32.812 (36.969)	Prec@5 63.281 (66.631)
Epoch: [65][3810/7045]	Time 0.101 (0.262)	Data 0.045 (0.199)	Loss 2.8968 (2.6286)	Prec@1 30.078 (36.966)	Prec@5 58.984 (66.632)
Epoch: [65][3820/7045]	Time 0.697 (0.262)	Data 0.646 (0.199)	Loss 2.7085 (2.6286)	Prec@1 37.109 (36.967)	Prec@5 67.188 (66.632)
Epoch: [65][3830/7045]	Time 0.112 (0.262)	Data 0.060 (0.198)	Loss 2.5895 (2.6287)	Prec@1 37.500 (36.964)	Prec@5 67.578 (66.630)
Epoch: [65][3840/7045]	Time 0.596 (0.262)	Data 0.543 (0.198)	Loss 2.4196 (2.6287)	Prec@1 42.188 (36.966)	Prec@5 70.703 (66.630)
Epoch: [65][3850/7045]	Time 0.161 (0.262)	Data 0.110 (0.198)	Loss 2.8186 (2.6288)	Prec@1 32.031 (36.963)	Prec@5 65.625 (66.627)
Epoch: [65][3860/7045]	Time 0.122 (0.262)	Data 0.070 (0.198)	Loss 2.4344 (2.6288)	Prec@1 42.188 (36.963)	Prec@5 70.703 (66.624)
Epoch: [65][3870/7045]	Time 0.102 (0.261)	Data 0.001 (0.198)	Loss 2.6410 (2.6289)	Prec@1 37.109 (36.962)	Prec@5 68.359 (66.623)
Epoch: [65][3880/7045]	Time 0.103 (0.261)	Data 0.002 (0.198)	Loss 2.6105 (2.6290)	Prec@1 34.375 (36.961)	Prec@5 67.188 (66.623)
Epoch: [65][3890/7045]	Time 0.138 (0.262)	Data 0.087 (0.198)	Loss 2.5597 (2.6290)	Prec@1 37.500 (36.958)	Prec@5 67.578 (66.623)
Epoch: [65][3900/7045]	Time 0.102 (0.262)	Data 0.004 (0.198)	Loss 2.6897 (2.6290)	Prec@1 35.156 (36.956)	Prec@5 67.578 (66.623)
Epoch: [65][3910/7045]	Time 0.663 (0.262)	Data 0.610 (0.198)	Loss 2.5319 (2.6290)	Prec@1 37.109 (36.955)	Prec@5 66.797 (66.625)
Epoch: [65][3920/7045]	Time 0.103 (0.262)	Data 0.001 (0.198)	Loss 2.5167 (2.6290)	Prec@1 37.891 (36.954)	Prec@5 65.625 (66.625)
Epoch: [65][3930/7045]	Time 0.533 (0.262)	Data 0.481 (0.198)	Loss 2.7491 (2.6289)	Prec@1 37.109 (36.959)	Prec@5 67.969 (66.630)
Epoch: [65][3940/7045]	Time 0.103 (0.262)	Data 0.001 (0.198)	Loss 2.6910 (2.6287)	Prec@1 37.500 (36.957)	Prec@5 68.750 (66.634)
Epoch: [65][3950/7045]	Time 0.102 (0.262)	Data 0.043 (0.198)	Loss 2.5305 (2.6288)	Prec@1 36.328 (36.957)	Prec@5 66.797 (66.633)
Epoch: [65][3960/7045]	Time 0.100 (0.262)	Data 0.003 (0.198)	Loss 2.6111 (2.6286)	Prec@1 35.547 (36.959)	Prec@5 68.750 (66.638)
Epoch: [65][3970/7045]	Time 0.242 (0.262)	Data 0.190 (0.198)	Loss 2.7954 (2.6287)	Prec@1 36.328 (36.958)	Prec@5 63.672 (66.636)
Epoch: [65][3980/7045]	Time 0.112 (0.262)	Data 0.060 (0.198)	Loss 2.5757 (2.6287)	Prec@1 37.500 (36.958)	Prec@5 69.531 (66.635)
Epoch: [65][3990/7045]	Time 0.102 (0.262)	Data 0.001 (0.198)	Loss 2.6773 (2.6290)	Prec@1 34.766 (36.953)	Prec@5 69.141 (66.633)
Epoch: [65][4000/7045]	Time 0.421 (0.262)	Data 0.370 (0.198)	Loss 2.6947 (2.6289)	Prec@1 37.500 (36.955)	Prec@5 61.328 (66.633)
Epoch: [65][4010/7045]	Time 0.192 (0.262)	Data 0.133 (0.198)	Loss 2.6018 (2.6289)	Prec@1 34.766 (36.952)	Prec@5 65.625 (66.634)
Epoch: [65][4020/7045]	Time 0.541 (0.262)	Data 0.489 (0.198)	Loss 2.4692 (2.6289)	Prec@1 40.234 (36.953)	Prec@5 68.750 (66.633)
Epoch: [65][4030/7045]	Time 0.101 (0.262)	Data 0.001 (0.198)	Loss 2.8144 (2.6290)	Prec@1 36.328 (36.955)	Prec@5 64.062 (66.632)
Epoch: [65][4040/7045]	Time 0.592 (0.262)	Data 0.541 (0.199)	Loss 2.7328 (2.6289)	Prec@1 31.641 (36.957)	Prec@5 64.062 (66.633)
Epoch: [65][4050/7045]	Time 0.100 (0.262)	Data 0.001 (0.199)	Loss 2.6378 (2.6289)	Prec@1 37.891 (36.956)	Prec@5 68.750 (66.634)
Epoch: [65][4060/7045]	Time 0.228 (0.262)	Data 0.177 (0.199)	Loss 2.6700 (2.6289)	Prec@1 35.938 (36.955)	Prec@5 63.672 (66.630)
Epoch: [65][4070/7045]	Time 0.459 (0.262)	Data 0.408 (0.199)	Loss 2.6593 (2.6289)	Prec@1 37.109 (36.954)	Prec@5 63.672 (66.630)
Epoch: [65][4080/7045]	Time 0.099 (0.262)	Data 0.045 (0.199)	Loss 2.8102 (2.6288)	Prec@1 36.719 (36.955)	Prec@5 60.156 (66.629)
Epoch: [65][4090/7045]	Time 0.298 (0.262)	Data 0.247 (0.199)	Loss 2.7282 (2.6287)	Prec@1 33.984 (36.954)	Prec@5 64.844 (66.632)
Epoch: [65][4100/7045]	Time 0.433 (0.262)	Data 0.382 (0.199)	Loss 2.6423 (2.6287)	Prec@1 42.188 (36.955)	Prec@5 67.578 (66.631)
Epoch: [65][4110/7045]	Time 0.101 (0.262)	Data 0.002 (0.199)	Loss 2.7083 (2.6287)	Prec@1 33.594 (36.956)	Prec@5 63.672 (66.631)
Epoch: [65][4120/7045]	Time 0.331 (0.262)	Data 0.281 (0.199)	Loss 2.3599 (2.6286)	Prec@1 42.578 (36.956)	Prec@5 73.438 (66.629)
Epoch: [65][4130/7045]	Time 0.464 (0.262)	Data 0.413 (0.199)	Loss 2.6621 (2.6286)	Prec@1 33.203 (36.955)	Prec@5 66.406 (66.633)
Epoch: [65][4140/7045]	Time 0.102 (0.262)	Data 0.006 (0.199)	Loss 2.7239 (2.6287)	Prec@1 35.156 (36.953)	Prec@5 66.016 (66.632)
Epoch: [65][4150/7045]	Time 0.350 (0.262)	Data 0.299 (0.199)	Loss 2.6944 (2.6288)	Prec@1 36.719 (36.950)	Prec@5 64.453 (66.627)
Epoch: [65][4160/7045]	Time 0.234 (0.262)	Data 0.181 (0.199)	Loss 2.7279 (2.6288)	Prec@1 35.938 (36.948)	Prec@5 67.188 (66.627)
Epoch: [65][4170/7045]	Time 0.105 (0.262)	Data 0.004 (0.199)	Loss 2.8153 (2.6289)	Prec@1 31.250 (36.946)	Prec@5 64.844 (66.627)
Epoch: [65][4180/7045]	Time 0.287 (0.262)	Data 0.237 (0.199)	Loss 2.6784 (2.6290)	Prec@1 36.328 (36.945)	Prec@5 70.312 (66.625)
Epoch: [65][4190/7045]	Time 0.350 (0.262)	Data 0.292 (0.199)	Loss 2.3411 (2.6289)	Prec@1 43.750 (36.948)	Prec@5 75.781 (66.630)
Epoch: [65][4200/7045]	Time 0.244 (0.262)	Data 0.193 (0.199)	Loss 2.7471 (2.6288)	Prec@1 34.766 (36.947)	Prec@5 64.453 (66.630)
Epoch: [65][4210/7045]	Time 0.272 (0.262)	Data 0.219 (0.199)	Loss 2.6121 (2.6289)	Prec@1 36.328 (36.945)	Prec@5 64.844 (66.629)
Epoch: [65][4220/7045]	Time 0.190 (0.262)	Data 0.138 (0.199)	Loss 2.5315 (2.6289)	Prec@1 39.844 (36.943)	Prec@5 69.531 (66.630)
Epoch: [65][4230/7045]	Time 0.224 (0.262)	Data 0.172 (0.199)	Loss 2.6106 (2.6290)	Prec@1 39.453 (36.943)	Prec@5 66.016 (66.629)
Epoch: [65][4240/7045]	Time 0.234 (0.262)	Data 0.184 (0.199)	Loss 2.5248 (2.6289)	Prec@1 37.891 (36.945)	Prec@5 67.188 (66.630)
Epoch: [65][4250/7045]	Time 0.178 (0.262)	Data 0.127 (0.199)	Loss 2.7567 (2.6290)	Prec@1 37.500 (36.943)	Prec@5 64.062 (66.626)
Epoch: [65][4260/7045]	Time 0.388 (0.262)	Data 0.337 (0.199)	Loss 2.5046 (2.6289)	Prec@1 35.156 (36.940)	Prec@5 71.094 (66.628)
Epoch: [65][4270/7045]	Time 0.189 (0.262)	Data 0.138 (0.199)	Loss 2.4341 (2.6287)	Prec@1 41.016 (36.943)	Prec@5 68.750 (66.632)
Epoch: [65][4280/7045]	Time 0.527 (0.262)	Data 0.468 (0.199)	Loss 2.4077 (2.6287)	Prec@1 37.109 (36.943)	Prec@5 71.094 (66.632)
Epoch: [65][4290/7045]	Time 0.101 (0.262)	Data 0.010 (0.199)	Loss 2.7300 (2.6286)	Prec@1 35.938 (36.944)	Prec@5 62.500 (66.631)
Epoch: [65][4300/7045]	Time 0.466 (0.262)	Data 0.415 (0.199)	Loss 2.5747 (2.6286)	Prec@1 41.406 (36.949)	Prec@5 65.234 (66.633)
Epoch: [65][4310/7045]	Time 0.214 (0.262)	Data 0.156 (0.199)	Loss 2.7583 (2.6288)	Prec@1 35.938 (36.946)	Prec@5 64.062 (66.632)
Epoch: [65][4320/7045]	Time 0.178 (0.262)	Data 0.126 (0.199)	Loss 2.7782 (2.6287)	Prec@1 35.156 (36.947)	Prec@5 63.672 (66.635)
Epoch: [65][4330/7045]	Time 0.517 (0.262)	Data 0.465 (0.199)	Loss 2.7985 (2.6289)	Prec@1 35.547 (36.944)	Prec@5 65.234 (66.633)
Epoch: [65][4340/7045]	Time 0.103 (0.261)	Data 0.052 (0.198)	Loss 2.6808 (2.6289)	Prec@1 40.625 (36.944)	Prec@5 66.797 (66.632)
Epoch: [65][4350/7045]	Time 0.442 (0.261)	Data 0.392 (0.199)	Loss 2.6014 (2.6289)	Prec@1 39.844 (36.946)	Prec@5 67.188 (66.632)
Epoch: [65][4360/7045]	Time 0.102 (0.261)	Data 0.001 (0.198)	Loss 2.3911 (2.6287)	Prec@1 40.234 (36.947)	Prec@5 73.438 (66.635)
Epoch: [65][4370/7045]	Time 0.468 (0.261)	Data 0.418 (0.198)	Loss 2.6992 (2.6287)	Prec@1 35.938 (36.948)	Prec@5 66.016 (66.634)
Epoch: [65][4380/7045]	Time 0.331 (0.261)	Data 0.280 (0.198)	Loss 2.7866 (2.6288)	Prec@1 37.891 (36.946)	Prec@5 61.719 (66.632)
Epoch: [65][4390/7045]	Time 0.316 (0.261)	Data 0.264 (0.198)	Loss 2.5424 (2.6289)	Prec@1 37.891 (36.946)	Prec@5 71.094 (66.630)
Epoch: [65][4400/7045]	Time 0.255 (0.261)	Data 0.204 (0.198)	Loss 2.6078 (2.6290)	Prec@1 37.500 (36.942)	Prec@5 67.969 (66.628)
Epoch: [65][4410/7045]	Time 0.362 (0.261)	Data 0.311 (0.198)	Loss 2.6927 (2.6291)	Prec@1 33.984 (36.940)	Prec@5 67.188 (66.629)
Epoch: [65][4420/7045]	Time 0.111 (0.261)	Data 0.059 (0.198)	Loss 2.7061 (2.6292)	Prec@1 33.984 (36.939)	Prec@5 64.844 (66.629)
Epoch: [65][4430/7045]	Time 0.275 (0.261)	Data 0.219 (0.198)	Loss 2.6480 (2.6293)	Prec@1 36.719 (36.939)	Prec@5 65.625 (66.626)
Epoch: [65][4440/7045]	Time 0.108 (0.261)	Data 0.056 (0.198)	Loss 2.4106 (2.6293)	Prec@1 42.188 (36.939)	Prec@5 69.922 (66.627)
Epoch: [65][4450/7045]	Time 0.264 (0.261)	Data 0.213 (0.198)	Loss 2.6698 (2.6292)	Prec@1 38.672 (36.938)	Prec@5 64.453 (66.627)
Epoch: [65][4460/7045]	Time 0.104 (0.261)	Data 0.004 (0.198)	Loss 2.6119 (2.6293)	Prec@1 33.203 (36.937)	Prec@5 67.578 (66.627)
Epoch: [65][4470/7045]	Time 0.266 (0.261)	Data 0.216 (0.198)	Loss 2.5697 (2.6292)	Prec@1 33.984 (36.940)	Prec@5 67.578 (66.627)
Epoch: [65][4480/7045]	Time 0.335 (0.261)	Data 0.284 (0.198)	Loss 2.7517 (2.6292)	Prec@1 36.328 (36.937)	Prec@5 67.969 (66.626)
Epoch: [65][4490/7045]	Time 0.267 (0.261)	Data 0.216 (0.198)	Loss 2.6800 (2.6292)	Prec@1 36.328 (36.938)	Prec@5 66.016 (66.626)
Epoch: [65][4500/7045]	Time 0.344 (0.261)	Data 0.286 (0.198)	Loss 2.8061 (2.6293)	Prec@1 34.375 (36.936)	Prec@5 62.109 (66.626)
Epoch: [65][4510/7045]	Time 0.263 (0.261)	Data 0.212 (0.198)	Loss 2.7582 (2.6293)	Prec@1 29.688 (36.935)	Prec@5 65.234 (66.626)
Epoch: [65][4520/7045]	Time 0.319 (0.261)	Data 0.269 (0.198)	Loss 2.6175 (2.6294)	Prec@1 37.891 (36.933)	Prec@5 66.406 (66.625)
Epoch: [65][4530/7045]	Time 0.150 (0.261)	Data 0.099 (0.198)	Loss 2.7809 (2.6295)	Prec@1 31.641 (36.933)	Prec@5 62.109 (66.621)
Epoch: [65][4540/7045]	Time 0.297 (0.260)	Data 0.246 (0.198)	Loss 2.5572 (2.6294)	Prec@1 44.141 (36.937)	Prec@5 67.969 (66.624)
Epoch: [65][4550/7045]	Time 0.102 (0.260)	Data 0.050 (0.198)	Loss 2.5758 (2.6294)	Prec@1 41.797 (36.940)	Prec@5 70.312 (66.623)
Epoch: [65][4560/7045]	Time 0.306 (0.260)	Data 0.255 (0.198)	Loss 2.6843 (2.6294)	Prec@1 42.969 (36.939)	Prec@5 67.188 (66.622)
Epoch: [65][4570/7045]	Time 0.231 (0.260)	Data 0.174 (0.198)	Loss 2.5580 (2.6294)	Prec@1 37.891 (36.940)	Prec@5 69.922 (66.622)
Epoch: [65][4580/7045]	Time 0.126 (0.260)	Data 0.075 (0.198)	Loss 2.5470 (2.6295)	Prec@1 39.062 (36.939)	Prec@5 71.094 (66.620)
Epoch: [65][4590/7045]	Time 0.167 (0.260)	Data 0.115 (0.198)	Loss 2.5232 (2.6296)	Prec@1 37.500 (36.935)	Prec@5 69.531 (66.620)
Epoch: [65][4600/7045]	Time 0.102 (0.260)	Data 0.001 (0.198)	Loss 2.5733 (2.6296)	Prec@1 35.547 (36.935)	Prec@5 67.578 (66.621)
Epoch: [65][4610/7045]	Time 0.261 (0.260)	Data 0.208 (0.198)	Loss 2.5666 (2.6296)	Prec@1 37.109 (36.935)	Prec@5 70.312 (66.621)
Epoch: [65][4620/7045]	Time 0.309 (0.260)	Data 0.256 (0.198)	Loss 2.6620 (2.6296)	Prec@1 41.016 (36.936)	Prec@5 64.062 (66.622)
Epoch: [65][4630/7045]	Time 0.221 (0.260)	Data 0.168 (0.197)	Loss 2.4556 (2.6295)	Prec@1 37.500 (36.934)	Prec@5 67.969 (66.623)
Epoch: [65][4640/7045]	Time 0.582 (0.260)	Data 0.527 (0.197)	Loss 2.6977 (2.6295)	Prec@1 36.719 (36.934)	Prec@5 67.188 (66.625)
Epoch: [65][4650/7045]	Time 0.102 (0.260)	Data 0.046 (0.197)	Loss 2.6472 (2.6296)	Prec@1 36.328 (36.932)	Prec@5 67.578 (66.627)
Epoch: [65][4660/7045]	Time 0.623 (0.260)	Data 0.572 (0.197)	Loss 2.6431 (2.6297)	Prec@1 31.250 (36.928)	Prec@5 66.406 (66.622)
Epoch: [65][4670/7045]	Time 0.130 (0.260)	Data 0.080 (0.197)	Loss 2.4921 (2.6296)	Prec@1 41.016 (36.930)	Prec@5 67.578 (66.623)
Epoch: [65][4680/7045]	Time 0.618 (0.260)	Data 0.568 (0.197)	Loss 2.4127 (2.6295)	Prec@1 40.625 (36.928)	Prec@5 71.875 (66.623)
Epoch: [65][4690/7045]	Time 0.126 (0.260)	Data 0.069 (0.197)	Loss 2.6643 (2.6294)	Prec@1 38.281 (36.931)	Prec@5 66.797 (66.624)
Epoch: [65][4700/7045]	Time 0.577 (0.260)	Data 0.526 (0.197)	Loss 2.4898 (2.6293)	Prec@1 42.969 (36.932)	Prec@5 69.922 (66.627)
Epoch: [65][4710/7045]	Time 0.147 (0.260)	Data 0.090 (0.197)	Loss 2.6735 (2.6294)	Prec@1 34.766 (36.929)	Prec@5 66.016 (66.629)
Epoch: [65][4720/7045]	Time 0.606 (0.260)	Data 0.550 (0.197)	Loss 2.5105 (2.6293)	Prec@1 41.797 (36.929)	Prec@5 68.359 (66.631)
Epoch: [65][4730/7045]	Time 0.153 (0.260)	Data 0.095 (0.197)	Loss 2.4736 (2.6294)	Prec@1 39.844 (36.929)	Prec@5 66.016 (66.631)
Epoch: [65][4740/7045]	Time 0.587 (0.260)	Data 0.530 (0.197)	Loss 2.5574 (2.6293)	Prec@1 35.547 (36.928)	Prec@5 69.922 (66.631)
Epoch: [65][4750/7045]	Time 0.163 (0.260)	Data 0.106 (0.197)	Loss 2.4891 (2.6293)	Prec@1 34.375 (36.926)	Prec@5 67.969 (66.630)
Epoch: [65][4760/7045]	Time 0.690 (0.260)	Data 0.637 (0.197)	Loss 2.6003 (2.6295)	Prec@1 38.672 (36.923)	Prec@5 65.625 (66.627)
Epoch: [65][4770/7045]	Time 0.101 (0.260)	Data 0.048 (0.197)	Loss 2.5489 (2.6295)	Prec@1 41.016 (36.924)	Prec@5 67.188 (66.628)
Epoch: [65][4780/7045]	Time 0.389 (0.260)	Data 0.338 (0.197)	Loss 2.5924 (2.6294)	Prec@1 35.938 (36.925)	Prec@5 68.750 (66.630)
Epoch: [65][4790/7045]	Time 0.102 (0.259)	Data 0.007 (0.197)	Loss 2.4004 (2.6295)	Prec@1 39.453 (36.923)	Prec@5 65.625 (66.628)
Epoch: [65][4800/7045]	Time 0.163 (0.259)	Data 0.112 (0.197)	Loss 2.4504 (2.6295)	Prec@1 36.719 (36.922)	Prec@5 69.531 (66.627)
Epoch: [65][4810/7045]	Time 0.102 (0.259)	Data 0.004 (0.197)	Loss 2.6063 (2.6296)	Prec@1 37.891 (36.920)	Prec@5 67.188 (66.625)
Epoch: [65][4820/7045]	Time 0.374 (0.259)	Data 0.324 (0.197)	Loss 2.6109 (2.6296)	Prec@1 38.672 (36.921)	Prec@5 67.578 (66.626)
Epoch: [65][4830/7045]	Time 0.142 (0.259)	Data 0.090 (0.197)	Loss 2.5031 (2.6296)	Prec@1 37.891 (36.920)	Prec@5 71.484 (66.624)
Epoch: [65][4840/7045]	Time 0.308 (0.259)	Data 0.258 (0.197)	Loss 2.6167 (2.6296)	Prec@1 39.453 (36.918)	Prec@5 67.188 (66.624)
Epoch: [65][4850/7045]	Time 0.626 (0.259)	Data 0.574 (0.197)	Loss 2.4119 (2.6296)	Prec@1 40.234 (36.920)	Prec@5 70.703 (66.627)
Epoch: [65][4860/7045]	Time 0.114 (0.259)	Data 0.062 (0.196)	Loss 2.4934 (2.6295)	Prec@1 33.984 (36.920)	Prec@5 66.797 (66.629)
Epoch: [65][4870/7045]	Time 0.557 (0.259)	Data 0.503 (0.196)	Loss 2.6182 (2.6294)	Prec@1 38.672 (36.922)	Prec@5 65.234 (66.629)
Epoch: [65][4880/7045]	Time 0.102 (0.259)	Data 0.004 (0.196)	Loss 2.5782 (2.6294)	Prec@1 35.938 (36.923)	Prec@5 66.797 (66.629)
Epoch: [65][4890/7045]	Time 0.330 (0.259)	Data 0.280 (0.196)	Loss 2.5518 (2.6295)	Prec@1 39.453 (36.920)	Prec@5 66.016 (66.629)
Epoch: [65][4900/7045]	Time 0.101 (0.259)	Data 0.001 (0.196)	Loss 2.7036 (2.6294)	Prec@1 37.500 (36.923)	Prec@5 64.844 (66.630)
Epoch: [65][4910/7045]	Time 0.230 (0.259)	Data 0.173 (0.196)	Loss 2.6825 (2.6295)	Prec@1 33.594 (36.924)	Prec@5 65.625 (66.629)
Epoch: [65][4920/7045]	Time 0.107 (0.259)	Data 0.055 (0.196)	Loss 2.4707 (2.6295)	Prec@1 39.062 (36.921)	Prec@5 68.359 (66.626)
Epoch: [65][4930/7045]	Time 0.262 (0.259)	Data 0.211 (0.196)	Loss 2.6072 (2.6294)	Prec@1 40.625 (36.924)	Prec@5 67.188 (66.627)
Epoch: [65][4940/7045]	Time 0.103 (0.259)	Data 0.006 (0.196)	Loss 2.7970 (2.6295)	Prec@1 33.984 (36.924)	Prec@5 61.719 (66.625)
Epoch: [65][4950/7045]	Time 0.192 (0.259)	Data 0.141 (0.196)	Loss 2.4940 (2.6294)	Prec@1 44.922 (36.930)	Prec@5 67.188 (66.625)
Epoch: [65][4960/7045]	Time 0.374 (0.259)	Data 0.322 (0.196)	Loss 2.9067 (2.6296)	Prec@1 34.375 (36.927)	Prec@5 60.938 (66.619)
Epoch: [65][4970/7045]	Time 0.130 (0.259)	Data 0.080 (0.196)	Loss 2.6271 (2.6295)	Prec@1 34.766 (36.927)	Prec@5 68.359 (66.620)
Epoch: [65][4980/7045]	Time 0.556 (0.259)	Data 0.503 (0.196)	Loss 2.8223 (2.6294)	Prec@1 33.203 (36.928)	Prec@5 62.891 (66.621)
Epoch: [65][4990/7045]	Time 0.211 (0.259)	Data 0.159 (0.196)	Loss 2.7288 (2.6295)	Prec@1 33.594 (36.927)	Prec@5 65.234 (66.621)
Epoch: [65][5000/7045]	Time 0.467 (0.259)	Data 0.417 (0.196)	Loss 2.6461 (2.6294)	Prec@1 35.156 (36.928)	Prec@5 67.188 (66.623)
Epoch: [65][5010/7045]	Time 0.101 (0.259)	Data 0.016 (0.196)	Loss 2.8099 (2.6294)	Prec@1 32.422 (36.928)	Prec@5 60.156 (66.622)
Epoch: [65][5020/7045]	Time 0.147 (0.259)	Data 0.096 (0.196)	Loss 2.8212 (2.6295)	Prec@1 33.594 (36.926)	Prec@5 61.719 (66.622)
Epoch: [65][5030/7045]	Time 0.275 (0.259)	Data 0.223 (0.196)	Loss 2.6930 (2.6295)	Prec@1 40.234 (36.926)	Prec@5 64.453 (66.623)
Epoch: [65][5040/7045]	Time 0.164 (0.259)	Data 0.107 (0.196)	Loss 2.4762 (2.6293)	Prec@1 36.328 (36.928)	Prec@5 71.875 (66.627)
Epoch: [65][5050/7045]	Time 0.137 (0.259)	Data 0.085 (0.196)	Loss 2.5694 (2.6294)	Prec@1 39.453 (36.925)	Prec@5 69.531 (66.626)
Epoch: [65][5060/7045]	Time 0.236 (0.259)	Data 0.183 (0.196)	Loss 2.5113 (2.6293)	Prec@1 39.062 (36.926)	Prec@5 66.797 (66.626)
Epoch: [65][5070/7045]	Time 0.101 (0.259)	Data 0.001 (0.196)	Loss 2.5201 (2.6292)	Prec@1 39.453 (36.927)	Prec@5 66.797 (66.629)
Epoch: [65][5080/7045]	Time 0.213 (0.259)	Data 0.162 (0.196)	Loss 2.7370 (2.6292)	Prec@1 36.719 (36.928)	Prec@5 64.453 (66.630)
Epoch: [65][5090/7045]	Time 0.338 (0.259)	Data 0.288 (0.196)	Loss 2.6584 (2.6292)	Prec@1 35.547 (36.928)	Prec@5 67.188 (66.629)
Epoch: [65][5100/7045]	Time 0.109 (0.259)	Data 0.001 (0.196)	Loss 2.3902 (2.6292)	Prec@1 41.797 (36.927)	Prec@5 69.141 (66.630)
Epoch: [65][5110/7045]	Time 0.460 (0.259)	Data 0.408 (0.196)	Loss 2.6032 (2.6292)	Prec@1 34.375 (36.926)	Prec@5 69.141 (66.631)
Epoch: [65][5120/7045]	Time 0.268 (0.258)	Data 0.217 (0.196)	Loss 2.6886 (2.6293)	Prec@1 35.547 (36.923)	Prec@5 69.141 (66.629)
Epoch: [65][5130/7045]	Time 0.158 (0.258)	Data 0.106 (0.196)	Loss 2.5758 (2.6292)	Prec@1 38.672 (36.927)	Prec@5 66.406 (66.630)
Epoch: [65][5140/7045]	Time 0.657 (0.258)	Data 0.604 (0.196)	Loss 2.4870 (2.6291)	Prec@1 39.844 (36.927)	Prec@5 68.359 (66.630)
Epoch: [65][5150/7045]	Time 0.103 (0.258)	Data 0.001 (0.196)	Loss 2.5125 (2.6292)	Prec@1 38.672 (36.926)	Prec@5 69.141 (66.630)
Epoch: [65][5160/7045]	Time 0.639 (0.258)	Data 0.586 (0.196)	Loss 2.6379 (2.6290)	Prec@1 33.203 (36.927)	Prec@5 67.188 (66.634)
Epoch: [65][5170/7045]	Time 0.111 (0.258)	Data 0.059 (0.196)	Loss 2.5001 (2.6290)	Prec@1 40.625 (36.929)	Prec@5 69.922 (66.637)
Epoch: [65][5180/7045]	Time 0.893 (0.258)	Data 0.841 (0.196)	Loss 2.5949 (2.6290)	Prec@1 33.984 (36.930)	Prec@5 66.797 (66.636)
Epoch: [65][5190/7045]	Time 0.103 (0.258)	Data 0.001 (0.196)	Loss 2.4640 (2.6291)	Prec@1 39.453 (36.929)	Prec@5 69.531 (66.635)
Epoch: [65][5200/7045]	Time 0.648 (0.258)	Data 0.598 (0.196)	Loss 2.5074 (2.6291)	Prec@1 41.797 (36.928)	Prec@5 67.969 (66.634)
Epoch: [65][5210/7045]	Time 0.114 (0.258)	Data 0.054 (0.195)	Loss 2.5555 (2.6291)	Prec@1 38.672 (36.928)	Prec@5 69.531 (66.634)
Epoch: [65][5220/7045]	Time 0.446 (0.258)	Data 0.394 (0.195)	Loss 2.5277 (2.6291)	Prec@1 39.453 (36.928)	Prec@5 67.969 (66.635)
Epoch: [65][5230/7045]	Time 0.106 (0.258)	Data 0.054 (0.195)	Loss 2.6943 (2.6289)	Prec@1 39.062 (36.930)	Prec@5 65.234 (66.636)
Epoch: [65][5240/7045]	Time 0.102 (0.258)	Data 0.008 (0.195)	Loss 2.4007 (2.6289)	Prec@1 41.016 (36.932)	Prec@5 71.094 (66.636)
Epoch: [65][5250/7045]	Time 0.111 (0.258)	Data 0.060 (0.195)	Loss 2.6119 (2.6289)	Prec@1 31.641 (36.932)	Prec@5 70.312 (66.635)
Epoch: [65][5260/7045]	Time 0.109 (0.258)	Data 0.057 (0.196)	Loss 2.5421 (2.6289)	Prec@1 36.328 (36.930)	Prec@5 66.016 (66.637)
Epoch: [65][5270/7045]	Time 0.103 (0.258)	Data 0.052 (0.196)	Loss 2.6456 (2.6289)	Prec@1 37.891 (36.930)	Prec@5 66.797 (66.638)
Epoch: [65][5280/7045]	Time 0.102 (0.258)	Data 0.001 (0.196)	Loss 2.6636 (2.6288)	Prec@1 35.156 (36.932)	Prec@5 65.234 (66.640)
Epoch: [65][5290/7045]	Time 0.102 (0.258)	Data 0.001 (0.195)	Loss 2.5680 (2.6288)	Prec@1 40.234 (36.932)	Prec@5 66.406 (66.642)
Epoch: [65][5300/7045]	Time 0.104 (0.258)	Data 0.051 (0.195)	Loss 2.6831 (2.6288)	Prec@1 38.672 (36.934)	Prec@5 67.969 (66.642)
Epoch: [65][5310/7045]	Time 0.103 (0.258)	Data 0.001 (0.195)	Loss 2.6731 (2.6289)	Prec@1 33.203 (36.931)	Prec@5 66.406 (66.639)
Epoch: [65][5320/7045]	Time 0.111 (0.258)	Data 0.049 (0.195)	Loss 2.5841 (2.6289)	Prec@1 41.406 (36.931)	Prec@5 64.062 (66.636)
Epoch: [65][5330/7045]	Time 0.102 (0.258)	Data 0.001 (0.195)	Loss 2.8867 (2.6289)	Prec@1 30.859 (36.930)	Prec@5 60.547 (66.638)
Epoch: [65][5340/7045]	Time 0.373 (0.258)	Data 0.322 (0.195)	Loss 2.6978 (2.6288)	Prec@1 33.594 (36.932)	Prec@5 65.234 (66.639)
Epoch: [65][5350/7045]	Time 0.176 (0.258)	Data 0.125 (0.195)	Loss 2.7719 (2.6289)	Prec@1 32.031 (36.930)	Prec@5 64.844 (66.637)
Epoch: [65][5360/7045]	Time 0.410 (0.258)	Data 0.359 (0.195)	Loss 2.5641 (2.6290)	Prec@1 33.984 (36.927)	Prec@5 68.359 (66.635)
Epoch: [65][5370/7045]	Time 0.496 (0.258)	Data 0.445 (0.195)	Loss 2.6928 (2.6291)	Prec@1 37.500 (36.925)	Prec@5 65.625 (66.634)
Epoch: [65][5380/7045]	Time 0.211 (0.258)	Data 0.159 (0.195)	Loss 2.4604 (2.6291)	Prec@1 40.234 (36.923)	Prec@5 67.969 (66.634)
Epoch: [65][5390/7045]	Time 0.549 (0.258)	Data 0.497 (0.195)	Loss 2.4463 (2.6289)	Prec@1 41.406 (36.925)	Prec@5 69.141 (66.638)
Epoch: [65][5400/7045]	Time 0.160 (0.258)	Data 0.103 (0.195)	Loss 2.2816 (2.6289)	Prec@1 42.969 (36.925)	Prec@5 74.609 (66.638)
Epoch: [65][5410/7045]	Time 0.761 (0.258)	Data 0.709 (0.195)	Loss 2.5129 (2.6289)	Prec@1 40.625 (36.927)	Prec@5 66.016 (66.638)
Epoch: [65][5420/7045]	Time 0.109 (0.258)	Data 0.001 (0.195)	Loss 2.2702 (2.6288)	Prec@1 38.672 (36.926)	Prec@5 75.391 (66.639)
Epoch: [65][5430/7045]	Time 0.624 (0.258)	Data 0.573 (0.195)	Loss 2.5504 (2.6287)	Prec@1 41.406 (36.926)	Prec@5 67.969 (66.641)
Epoch: [65][5440/7045]	Time 0.108 (0.258)	Data 0.001 (0.195)	Loss 2.6387 (2.6287)	Prec@1 36.719 (36.926)	Prec@5 60.547 (66.642)
Epoch: [65][5450/7045]	Time 0.412 (0.258)	Data 0.360 (0.195)	Loss 2.7819 (2.6288)	Prec@1 33.984 (36.927)	Prec@5 63.281 (66.642)
Epoch: [65][5460/7045]	Time 0.409 (0.258)	Data 0.358 (0.195)	Loss 2.6680 (2.6287)	Prec@1 34.766 (36.927)	Prec@5 67.578 (66.645)
Epoch: [65][5470/7045]	Time 0.111 (0.258)	Data 0.059 (0.195)	Loss 2.7280 (2.6288)	Prec@1 36.719 (36.924)	Prec@5 63.281 (66.643)
Epoch: [65][5480/7045]	Time 0.492 (0.258)	Data 0.441 (0.195)	Loss 2.6831 (2.6288)	Prec@1 40.234 (36.923)	Prec@5 65.625 (66.642)
Epoch: [65][5490/7045]	Time 0.182 (0.258)	Data 0.131 (0.195)	Loss 2.7410 (2.6289)	Prec@1 33.984 (36.922)	Prec@5 62.109 (66.641)
Epoch: [65][5500/7045]	Time 0.454 (0.258)	Data 0.402 (0.195)	Loss 2.4785 (2.6288)	Prec@1 40.234 (36.924)	Prec@5 67.578 (66.642)
Epoch: [65][5510/7045]	Time 0.203 (0.258)	Data 0.152 (0.195)	Loss 2.6806 (2.6287)	Prec@1 35.547 (36.923)	Prec@5 65.625 (66.645)
Epoch: [65][5520/7045]	Time 0.316 (0.258)	Data 0.265 (0.195)	Loss 2.6918 (2.6288)	Prec@1 37.500 (36.921)	Prec@5 64.844 (66.642)
Epoch: [65][5530/7045]	Time 0.567 (0.258)	Data 0.515 (0.195)	Loss 2.8477 (2.6289)	Prec@1 34.375 (36.918)	Prec@5 62.109 (66.642)
Epoch: [65][5540/7045]	Time 0.104 (0.258)	Data 0.051 (0.195)	Loss 2.6930 (2.6289)	Prec@1 35.156 (36.916)	Prec@5 67.578 (66.640)
Epoch: [65][5550/7045]	Time 0.558 (0.258)	Data 0.507 (0.195)	Loss 2.5860 (2.6290)	Prec@1 37.109 (36.916)	Prec@5 68.359 (66.640)
Epoch: [65][5560/7045]	Time 0.201 (0.258)	Data 0.150 (0.195)	Loss 2.5139 (2.6290)	Prec@1 37.109 (36.915)	Prec@5 70.703 (66.640)
Epoch: [65][5570/7045]	Time 0.305 (0.258)	Data 0.247 (0.195)	Loss 2.5912 (2.6291)	Prec@1 37.109 (36.912)	Prec@5 67.188 (66.638)
Epoch: [65][5580/7045]	Time 0.332 (0.258)	Data 0.280 (0.195)	Loss 2.7726 (2.6290)	Prec@1 36.328 (36.914)	Prec@5 64.062 (66.641)
Epoch: [65][5590/7045]	Time 0.292 (0.258)	Data 0.240 (0.195)	Loss 2.6900 (2.6290)	Prec@1 33.984 (36.911)	Prec@5 66.797 (66.639)
Epoch: [65][5600/7045]	Time 0.102 (0.258)	Data 0.006 (0.195)	Loss 2.5555 (2.6289)	Prec@1 38.672 (36.914)	Prec@5 69.531 (66.642)
Epoch: [65][5610/7045]	Time 0.223 (0.258)	Data 0.171 (0.195)	Loss 2.5716 (2.6289)	Prec@1 39.844 (36.913)	Prec@5 69.922 (66.642)
Epoch: [65][5620/7045]	Time 0.267 (0.258)	Data 0.217 (0.195)	Loss 2.7461 (2.6288)	Prec@1 35.938 (36.913)	Prec@5 67.188 (66.645)
Epoch: [65][5630/7045]	Time 0.227 (0.258)	Data 0.169 (0.195)	Loss 2.7028 (2.6288)	Prec@1 35.938 (36.913)	Prec@5 64.062 (66.647)
Epoch: [65][5640/7045]	Time 0.209 (0.258)	Data 0.157 (0.195)	Loss 2.5289 (2.6287)	Prec@1 37.891 (36.914)	Prec@5 66.797 (66.649)
Epoch: [65][5650/7045]	Time 0.181 (0.258)	Data 0.123 (0.195)	Loss 2.8557 (2.6286)	Prec@1 34.375 (36.916)	Prec@5 62.109 (66.651)
Epoch: [65][5660/7045]	Time 0.102 (0.258)	Data 0.003 (0.195)	Loss 2.7099 (2.6285)	Prec@1 33.203 (36.916)	Prec@5 69.141 (66.653)
Epoch: [65][5670/7045]	Time 0.102 (0.258)	Data 0.004 (0.195)	Loss 2.5383 (2.6286)	Prec@1 39.453 (36.915)	Prec@5 68.750 (66.652)
Epoch: [65][5680/7045]	Time 0.315 (0.258)	Data 0.264 (0.195)	Loss 2.9055 (2.6285)	Prec@1 32.812 (36.917)	Prec@5 64.062 (66.654)
Epoch: [65][5690/7045]	Time 0.102 (0.258)	Data 0.008 (0.195)	Loss 2.6274 (2.6285)	Prec@1 40.234 (36.916)	Prec@5 67.188 (66.654)
Epoch: [65][5700/7045]	Time 0.456 (0.258)	Data 0.404 (0.195)	Loss 2.5864 (2.6286)	Prec@1 37.891 (36.916)	Prec@5 67.578 (66.653)
Epoch: [65][5710/7045]	Time 0.109 (0.258)	Data 0.057 (0.195)	Loss 2.5819 (2.6286)	Prec@1 33.984 (36.915)	Prec@5 69.141 (66.653)
Epoch: [65][5720/7045]	Time 0.262 (0.258)	Data 0.211 (0.195)	Loss 2.8426 (2.6286)	Prec@1 35.547 (36.914)	Prec@5 61.328 (66.652)
Epoch: [65][5730/7045]	Time 0.120 (0.258)	Data 0.068 (0.195)	Loss 2.5108 (2.6286)	Prec@1 41.797 (36.915)	Prec@5 71.484 (66.654)
Epoch: [65][5740/7045]	Time 0.103 (0.258)	Data 0.049 (0.195)	Loss 2.7655 (2.6286)	Prec@1 34.766 (36.916)	Prec@5 64.062 (66.655)
Epoch: [65][5750/7045]	Time 0.104 (0.258)	Data 0.051 (0.195)	Loss 2.7456 (2.6287)	Prec@1 35.547 (36.914)	Prec@5 64.844 (66.654)
Epoch: [65][5760/7045]	Time 0.185 (0.258)	Data 0.133 (0.195)	Loss 2.5557 (2.6287)	Prec@1 34.766 (36.912)	Prec@5 70.703 (66.656)
Epoch: [65][5770/7045]	Time 0.409 (0.258)	Data 0.357 (0.195)	Loss 2.5705 (2.6286)	Prec@1 36.328 (36.914)	Prec@5 67.578 (66.658)
Epoch: [65][5780/7045]	Time 0.133 (0.258)	Data 0.081 (0.195)	Loss 2.5361 (2.6286)	Prec@1 37.891 (36.914)	Prec@5 68.750 (66.656)
Epoch: [65][5790/7045]	Time 0.103 (0.258)	Data 0.050 (0.195)	Loss 2.6256 (2.6286)	Prec@1 35.156 (36.914)	Prec@5 65.625 (66.656)
Epoch: [65][5800/7045]	Time 0.159 (0.258)	Data 0.107 (0.195)	Loss 2.4939 (2.6285)	Prec@1 41.406 (36.917)	Prec@5 66.797 (66.657)
Epoch: [65][5810/7045]	Time 0.101 (0.258)	Data 0.003 (0.195)	Loss 2.5010 (2.6286)	Prec@1 39.062 (36.915)	Prec@5 69.922 (66.656)
Epoch: [65][5820/7045]	Time 0.279 (0.258)	Data 0.227 (0.195)	Loss 2.5449 (2.6286)	Prec@1 38.672 (36.916)	Prec@5 67.188 (66.656)
Epoch: [65][5830/7045]	Time 0.102 (0.258)	Data 0.003 (0.195)	Loss 2.6759 (2.6286)	Prec@1 37.500 (36.915)	Prec@5 65.625 (66.657)
Epoch: [65][5840/7045]	Time 0.724 (0.258)	Data 0.673 (0.195)	Loss 2.5642 (2.6287)	Prec@1 36.328 (36.914)	Prec@5 68.359 (66.656)
Epoch: [65][5850/7045]	Time 0.117 (0.258)	Data 0.067 (0.195)	Loss 2.6076 (2.6287)	Prec@1 36.719 (36.913)	Prec@5 64.844 (66.654)
Epoch: [65][5860/7045]	Time 0.730 (0.258)	Data 0.679 (0.195)	Loss 2.7352 (2.6287)	Prec@1 34.375 (36.914)	Prec@5 62.891 (66.654)
Epoch: [65][5870/7045]	Time 0.165 (0.258)	Data 0.114 (0.195)	Loss 2.6464 (2.6288)	Prec@1 38.281 (36.915)	Prec@5 70.312 (66.654)
Epoch: [65][5880/7045]	Time 1.442 (0.258)	Data 1.392 (0.195)	Loss 2.7066 (2.6288)	Prec@1 34.766 (36.915)	Prec@5 66.406 (66.655)
Epoch: [65][5890/7045]	Time 0.188 (0.258)	Data 0.138 (0.195)	Loss 2.7301 (2.6290)	Prec@1 35.156 (36.912)	Prec@5 62.500 (66.650)
Epoch: [65][5900/7045]	Time 0.496 (0.258)	Data 0.445 (0.195)	Loss 2.7117 (2.6289)	Prec@1 35.938 (36.911)	Prec@5 66.797 (66.651)
Epoch: [65][5910/7045]	Time 0.103 (0.258)	Data 0.029 (0.195)	Loss 2.2571 (2.6289)	Prec@1 44.922 (36.911)	Prec@5 76.172 (66.652)
Epoch: [65][5920/7045]	Time 0.694 (0.258)	Data 0.642 (0.195)	Loss 2.5878 (2.6289)	Prec@1 39.062 (36.911)	Prec@5 68.359 (66.651)
Epoch: [65][5930/7045]	Time 0.109 (0.258)	Data 0.059 (0.195)	Loss 2.5313 (2.6288)	Prec@1 36.328 (36.914)	Prec@5 66.406 (66.653)
Epoch: [65][5940/7045]	Time 0.420 (0.258)	Data 0.368 (0.195)	Loss 2.6451 (2.6288)	Prec@1 33.984 (36.914)	Prec@5 68.750 (66.654)
Epoch: [65][5950/7045]	Time 0.276 (0.258)	Data 0.225 (0.195)	Loss 2.6682 (2.6288)	Prec@1 35.547 (36.916)	Prec@5 65.625 (66.653)
Epoch: [65][5960/7045]	Time 0.200 (0.258)	Data 0.148 (0.195)	Loss 2.5642 (2.6288)	Prec@1 35.547 (36.915)	Prec@5 69.141 (66.652)
Epoch: [65][5970/7045]	Time 0.398 (0.258)	Data 0.347 (0.195)	Loss 2.5198 (2.6288)	Prec@1 40.625 (36.916)	Prec@5 71.875 (66.652)
Epoch: [65][5980/7045]	Time 0.101 (0.258)	Data 0.001 (0.195)	Loss 2.6982 (2.6288)	Prec@1 33.594 (36.916)	Prec@5 65.234 (66.652)
Epoch: [65][5990/7045]	Time 0.459 (0.258)	Data 0.409 (0.195)	Loss 2.7633 (2.6289)	Prec@1 35.547 (36.916)	Prec@5 63.281 (66.651)
Epoch: [65][6000/7045]	Time 0.107 (0.258)	Data 0.008 (0.195)	Loss 2.6247 (2.6290)	Prec@1 37.500 (36.914)	Prec@5 66.406 (66.649)
Epoch: [65][6010/7045]	Time 0.674 (0.258)	Data 0.617 (0.195)	Loss 2.5593 (2.6289)	Prec@1 37.500 (36.917)	Prec@5 70.703 (66.650)
Epoch: [65][6020/7045]	Time 0.103 (0.258)	Data 0.045 (0.195)	Loss 2.4291 (2.6289)	Prec@1 39.453 (36.915)	Prec@5 74.219 (66.652)
Epoch: [65][6030/7045]	Time 0.615 (0.258)	Data 0.563 (0.195)	Loss 2.6986 (2.6289)	Prec@1 33.594 (36.914)	Prec@5 65.625 (66.651)
Epoch: [65][6040/7045]	Time 0.107 (0.258)	Data 0.003 (0.195)	Loss 2.5936 (2.6290)	Prec@1 37.109 (36.913)	Prec@5 69.531 (66.649)
Epoch: [65][6050/7045]	Time 0.580 (0.258)	Data 0.530 (0.195)	Loss 2.6870 (2.6290)	Prec@1 38.281 (36.911)	Prec@5 68.750 (66.651)
Epoch: [65][6060/7045]	Time 0.212 (0.258)	Data 0.161 (0.195)	Loss 2.6028 (2.6289)	Prec@1 36.328 (36.912)	Prec@5 66.406 (66.651)
Epoch: [65][6070/7045]	Time 0.399 (0.258)	Data 0.348 (0.195)	Loss 2.5321 (2.6289)	Prec@1 37.109 (36.913)	Prec@5 71.875 (66.653)
Epoch: [65][6080/7045]	Time 0.108 (0.258)	Data 0.045 (0.195)	Loss 2.8077 (2.6289)	Prec@1 34.375 (36.912)	Prec@5 62.500 (66.652)
Epoch: [65][6090/7045]	Time 0.263 (0.258)	Data 0.213 (0.195)	Loss 2.4442 (2.6288)	Prec@1 39.062 (36.912)	Prec@5 70.312 (66.653)
Epoch: [65][6100/7045]	Time 0.114 (0.258)	Data 0.063 (0.195)	Loss 2.4770 (2.6288)	Prec@1 40.234 (36.913)	Prec@5 69.141 (66.652)
Epoch: [65][6110/7045]	Time 0.441 (0.258)	Data 0.388 (0.195)	Loss 2.8110 (2.6289)	Prec@1 32.812 (36.912)	Prec@5 63.281 (66.650)
Epoch: [65][6120/7045]	Time 0.196 (0.258)	Data 0.146 (0.195)	Loss 2.7717 (2.6289)	Prec@1 35.938 (36.913)	Prec@5 66.406 (66.651)
Epoch: [65][6130/7045]	Time 0.515 (0.258)	Data 0.463 (0.195)	Loss 2.7185 (2.6289)	Prec@1 38.281 (36.913)	Prec@5 63.281 (66.650)
Epoch: [65][6140/7045]	Time 0.202 (0.258)	Data 0.150 (0.195)	Loss 2.4647 (2.6289)	Prec@1 40.234 (36.910)	Prec@5 70.312 (66.651)
Epoch: [65][6150/7045]	Time 0.242 (0.258)	Data 0.190 (0.195)	Loss 2.5073 (2.6288)	Prec@1 38.672 (36.911)	Prec@5 68.359 (66.651)
Epoch: [65][6160/7045]	Time 0.259 (0.258)	Data 0.207 (0.195)	Loss 2.8398 (2.6289)	Prec@1 33.984 (36.909)	Prec@5 62.500 (66.651)
Epoch: [65][6170/7045]	Time 0.417 (0.258)	Data 0.365 (0.195)	Loss 2.7756 (2.6289)	Prec@1 37.109 (36.911)	Prec@5 64.453 (66.651)
Epoch: [65][6180/7045]	Time 0.160 (0.258)	Data 0.108 (0.195)	Loss 2.7222 (2.6290)	Prec@1 38.672 (36.912)	Prec@5 64.844 (66.650)
Epoch: [65][6190/7045]	Time 0.567 (0.258)	Data 0.514 (0.195)	Loss 2.8352 (2.6290)	Prec@1 32.422 (36.910)	Prec@5 62.500 (66.649)
Epoch: [65][6200/7045]	Time 0.319 (0.258)	Data 0.268 (0.195)	Loss 2.6969 (2.6290)	Prec@1 34.766 (36.910)	Prec@5 64.453 (66.650)
Epoch: [65][6210/7045]	Time 0.334 (0.258)	Data 0.276 (0.195)	Loss 2.6537 (2.6289)	Prec@1 35.938 (36.914)	Prec@5 67.969 (66.652)
Epoch: [65][6220/7045]	Time 0.365 (0.258)	Data 0.315 (0.195)	Loss 2.4245 (2.6287)	Prec@1 41.797 (36.918)	Prec@5 70.312 (66.657)
Epoch: [65][6230/7045]	Time 0.106 (0.258)	Data 0.053 (0.195)	Loss 2.6354 (2.6287)	Prec@1 41.016 (36.920)	Prec@5 67.578 (66.658)
Epoch: [65][6240/7045]	Time 0.230 (0.258)	Data 0.179 (0.195)	Loss 2.4699 (2.6287)	Prec@1 38.672 (36.920)	Prec@5 68.359 (66.657)
Epoch: [65][6250/7045]	Time 0.146 (0.258)	Data 0.095 (0.195)	Loss 2.6977 (2.6288)	Prec@1 34.375 (36.918)	Prec@5 67.578 (66.657)
Epoch: [65][6260/7045]	Time 0.101 (0.258)	Data 0.006 (0.195)	Loss 2.7116 (2.6288)	Prec@1 34.766 (36.919)	Prec@5 62.500 (66.656)
Epoch: [65][6270/7045]	Time 0.113 (0.258)	Data 0.061 (0.195)	Loss 2.6997 (2.6287)	Prec@1 36.328 (36.922)	Prec@5 68.359 (66.658)
Epoch: [65][6280/7045]	Time 0.102 (0.258)	Data 0.004 (0.195)	Loss 2.4497 (2.6287)	Prec@1 37.891 (36.921)	Prec@5 71.484 (66.658)
Epoch: [65][6290/7045]	Time 0.199 (0.258)	Data 0.146 (0.195)	Loss 2.4850 (2.6287)	Prec@1 42.188 (36.924)	Prec@5 69.141 (66.660)
Epoch: [65][6300/7045]	Time 0.109 (0.258)	Data 0.057 (0.195)	Loss 2.6481 (2.6287)	Prec@1 39.062 (36.923)	Prec@5 65.625 (66.660)
Epoch: [65][6310/7045]	Time 0.236 (0.258)	Data 0.185 (0.195)	Loss 2.5834 (2.6287)	Prec@1 35.938 (36.921)	Prec@5 67.578 (66.661)
Epoch: [65][6320/7045]	Time 0.102 (0.258)	Data 0.001 (0.195)	Loss 2.7354 (2.6287)	Prec@1 39.062 (36.921)	Prec@5 63.281 (66.661)
Epoch: [65][6330/7045]	Time 0.103 (0.258)	Data 0.051 (0.195)	Loss 2.5142 (2.6288)	Prec@1 39.844 (36.920)	Prec@5 67.188 (66.659)
Epoch: [65][6340/7045]	Time 0.101 (0.258)	Data 0.001 (0.195)	Loss 2.4736 (2.6287)	Prec@1 37.109 (36.921)	Prec@5 69.531 (66.661)
Epoch: [65][6350/7045]	Time 0.106 (0.258)	Data 0.053 (0.195)	Loss 2.8571 (2.6287)	Prec@1 31.250 (36.920)	Prec@5 61.719 (66.661)
Epoch: [65][6360/7045]	Time 0.199 (0.258)	Data 0.147 (0.195)	Loss 2.5930 (2.6287)	Prec@1 34.375 (36.917)	Prec@5 71.484 (66.662)
Epoch: [65][6370/7045]	Time 0.254 (0.258)	Data 0.204 (0.195)	Loss 2.6755 (2.6287)	Prec@1 34.766 (36.917)	Prec@5 65.625 (66.663)
Epoch: [65][6380/7045]	Time 0.108 (0.258)	Data 0.057 (0.195)	Loss 2.5344 (2.6286)	Prec@1 40.625 (36.918)	Prec@5 68.359 (66.664)
Epoch: [65][6390/7045]	Time 0.132 (0.258)	Data 0.074 (0.195)	Loss 2.5994 (2.6287)	Prec@1 37.891 (36.916)	Prec@5 67.188 (66.663)
Epoch: [65][6400/7045]	Time 0.102 (0.258)	Data 0.001 (0.195)	Loss 2.5315 (2.6286)	Prec@1 37.109 (36.917)	Prec@5 71.094 (66.666)
Epoch: [65][6410/7045]	Time 0.148 (0.258)	Data 0.097 (0.195)	Loss 2.4600 (2.6286)	Prec@1 42.578 (36.918)	Prec@5 69.922 (66.666)
Epoch: [65][6420/7045]	Time 1.872 (0.259)	Data 1.821 (0.196)	Loss 2.7042 (2.6287)	Prec@1 34.375 (36.916)	Prec@5 65.234 (66.664)
Epoch: [65][6430/7045]	Time 0.110 (0.259)	Data 0.059 (0.196)	Loss 2.5621 (2.6287)	Prec@1 34.766 (36.918)	Prec@5 68.750 (66.666)
Epoch: [65][6440/7045]	Time 0.218 (0.259)	Data 0.167 (0.196)	Loss 2.8472 (2.6287)	Prec@1 33.594 (36.919)	Prec@5 60.547 (66.666)
Epoch: [65][6450/7045]	Time 0.102 (0.259)	Data 0.001 (0.196)	Loss 2.7289 (2.6287)	Prec@1 32.812 (36.916)	Prec@5 64.453 (66.666)
Epoch: [65][6460/7045]	Time 0.107 (0.259)	Data 0.008 (0.196)	Loss 2.7338 (2.6287)	Prec@1 34.766 (36.917)	Prec@5 61.719 (66.665)
Epoch: [65][6470/7045]	Time 0.461 (0.259)	Data 0.408 (0.196)	Loss 2.5665 (2.6286)	Prec@1 38.281 (36.917)	Prec@5 66.797 (66.669)
Epoch: [65][6480/7045]	Time 0.102 (0.259)	Data 0.001 (0.195)	Loss 2.6749 (2.6285)	Prec@1 38.672 (36.917)	Prec@5 62.109 (66.670)
Epoch: [65][6490/7045]	Time 0.644 (0.259)	Data 0.593 (0.195)	Loss 2.3239 (2.6285)	Prec@1 41.016 (36.916)	Prec@5 73.047 (66.670)
Epoch: [65][6500/7045]	Time 0.102 (0.259)	Data 0.050 (0.196)	Loss 2.8183 (2.6285)	Prec@1 32.031 (36.917)	Prec@5 62.891 (66.670)
Epoch: [65][6510/7045]	Time 0.394 (0.259)	Data 0.343 (0.196)	Loss 2.5005 (2.6284)	Prec@1 38.281 (36.917)	Prec@5 68.750 (66.671)
Epoch: [65][6520/7045]	Time 0.510 (0.259)	Data 0.458 (0.196)	Loss 2.4810 (2.6284)	Prec@1 41.016 (36.919)	Prec@5 69.141 (66.670)
Epoch: [65][6530/7045]	Time 0.442 (0.259)	Data 0.390 (0.196)	Loss 2.5983 (2.6284)	Prec@1 36.719 (36.918)	Prec@5 66.406 (66.669)
Epoch: [65][6540/7045]	Time 0.347 (0.259)	Data 0.296 (0.196)	Loss 2.7385 (2.6284)	Prec@1 37.109 (36.916)	Prec@5 64.844 (66.671)
Epoch: [65][6550/7045]	Time 0.101 (0.259)	Data 0.001 (0.196)	Loss 2.6189 (2.6285)	Prec@1 34.766 (36.914)	Prec@5 67.969 (66.669)
Epoch: [65][6560/7045]	Time 0.493 (0.259)	Data 0.442 (0.196)	Loss 2.6406 (2.6284)	Prec@1 33.203 (36.916)	Prec@5 64.062 (66.671)
Epoch: [65][6570/7045]	Time 0.348 (0.259)	Data 0.297 (0.196)	Loss 2.6989 (2.6284)	Prec@1 36.328 (36.917)	Prec@5 68.359 (66.673)
Epoch: [65][6580/7045]	Time 0.191 (0.259)	Data 0.140 (0.195)	Loss 2.5361 (2.6284)	Prec@1 37.109 (36.917)	Prec@5 68.750 (66.673)
Epoch: [65][6590/7045]	Time 0.384 (0.259)	Data 0.332 (0.196)	Loss 2.8592 (2.6284)	Prec@1 32.422 (36.915)	Prec@5 62.891 (66.673)
Epoch: [65][6600/7045]	Time 0.102 (0.259)	Data 0.006 (0.196)	Loss 2.5986 (2.6284)	Prec@1 40.625 (36.916)	Prec@5 68.750 (66.676)
Epoch: [65][6610/7045]	Time 0.225 (0.259)	Data 0.174 (0.196)	Loss 2.5078 (2.6285)	Prec@1 37.500 (36.915)	Prec@5 68.359 (66.673)
Epoch: [65][6620/7045]	Time 0.433 (0.259)	Data 0.382 (0.196)	Loss 2.3819 (2.6285)	Prec@1 43.359 (36.916)	Prec@5 71.484 (66.673)
Epoch: [65][6630/7045]	Time 0.112 (0.259)	Data 0.060 (0.196)	Loss 2.7736 (2.6285)	Prec@1 37.891 (36.916)	Prec@5 65.234 (66.672)
Epoch: [65][6640/7045]	Time 0.429 (0.259)	Data 0.377 (0.196)	Loss 2.6417 (2.6285)	Prec@1 33.203 (36.915)	Prec@5 64.453 (66.671)
Epoch: [65][6650/7045]	Time 0.102 (0.259)	Data 0.005 (0.196)	Loss 2.3954 (2.6285)	Prec@1 37.891 (36.915)	Prec@5 71.875 (66.670)
Epoch: [65][6660/7045]	Time 0.462 (0.259)	Data 0.411 (0.196)	Loss 2.7822 (2.6285)	Prec@1 32.812 (36.913)	Prec@5 61.719 (66.670)
Epoch: [65][6670/7045]	Time 0.304 (0.259)	Data 0.253 (0.196)	Loss 2.5863 (2.6286)	Prec@1 39.062 (36.912)	Prec@5 67.578 (66.670)
Epoch: [65][6680/7045]	Time 0.212 (0.259)	Data 0.160 (0.196)	Loss 2.6375 (2.6286)	Prec@1 36.328 (36.912)	Prec@5 68.359 (66.669)
Epoch: [65][6690/7045]	Time 0.950 (0.259)	Data 0.898 (0.196)	Loss 2.5704 (2.6285)	Prec@1 35.547 (36.915)	Prec@5 71.094 (66.672)
Epoch: [65][6700/7045]	Time 0.157 (0.259)	Data 0.105 (0.196)	Loss 2.7085 (2.6284)	Prec@1 33.203 (36.916)	Prec@5 64.844 (66.673)
Epoch: [65][6710/7045]	Time 0.373 (0.259)	Data 0.322 (0.196)	Loss 2.4785 (2.6284)	Prec@1 41.016 (36.918)	Prec@5 71.484 (66.675)
Epoch: [65][6720/7045]	Time 0.347 (0.259)	Data 0.295 (0.196)	Loss 2.7925 (2.6283)	Prec@1 37.500 (36.918)	Prec@5 63.281 (66.676)
Epoch: [65][6730/7045]	Time 0.110 (0.259)	Data 0.059 (0.196)	Loss 2.7457 (2.6283)	Prec@1 34.375 (36.919)	Prec@5 62.500 (66.675)
Epoch: [65][6740/7045]	Time 0.370 (0.259)	Data 0.318 (0.196)	Loss 2.7062 (2.6284)	Prec@1 33.984 (36.916)	Prec@5 63.281 (66.673)
Epoch: [65][6750/7045]	Time 0.102 (0.259)	Data 0.003 (0.196)	Loss 2.7749 (2.6284)	Prec@1 34.766 (36.916)	Prec@5 63.281 (66.674)
Epoch: [65][6760/7045]	Time 0.315 (0.259)	Data 0.263 (0.196)	Loss 2.6403 (2.6285)	Prec@1 34.766 (36.914)	Prec@5 66.406 (66.673)
Epoch: [65][6770/7045]	Time 0.159 (0.259)	Data 0.108 (0.196)	Loss 2.5660 (2.6285)	Prec@1 41.797 (36.914)	Prec@5 65.625 (66.672)
Epoch: [65][6780/7045]	Time 0.528 (0.259)	Data 0.478 (0.196)	Loss 2.7077 (2.6284)	Prec@1 37.109 (36.916)	Prec@5 63.672 (66.672)
Epoch: [65][6790/7045]	Time 0.107 (0.259)	Data 0.054 (0.196)	Loss 2.8143 (2.6285)	Prec@1 33.203 (36.914)	Prec@5 63.281 (66.670)
Epoch: [65][6800/7045]	Time 0.471 (0.259)	Data 0.420 (0.196)	Loss 2.3387 (2.6284)	Prec@1 42.969 (36.915)	Prec@5 71.484 (66.673)
Epoch: [65][6810/7045]	Time 0.109 (0.260)	Data 0.001 (0.197)	Loss 2.6236 (2.6284)	Prec@1 33.594 (36.915)	Prec@5 66.016 (66.671)
Epoch: [65][6820/7045]	Time 0.531 (0.260)	Data 0.473 (0.197)	Loss 2.6162 (2.6284)	Prec@1 37.500 (36.913)	Prec@5 66.797 (66.671)
Epoch: [65][6830/7045]	Time 0.114 (0.259)	Data 0.054 (0.196)	Loss 2.8414 (2.6285)	Prec@1 37.109 (36.910)	Prec@5 63.281 (66.668)
Epoch: [65][6840/7045]	Time 0.572 (0.260)	Data 0.521 (0.197)	Loss 2.6201 (2.6286)	Prec@1 33.594 (36.908)	Prec@5 66.016 (66.665)
Epoch: [65][6850/7045]	Time 0.141 (0.259)	Data 0.090 (0.196)	Loss 2.4958 (2.6286)	Prec@1 39.062 (36.908)	Prec@5 69.141 (66.666)
Epoch: [65][6860/7045]	Time 0.324 (0.259)	Data 0.272 (0.196)	Loss 2.7284 (2.6285)	Prec@1 33.594 (36.908)	Prec@5 64.844 (66.667)
Epoch: [65][6870/7045]	Time 0.153 (0.259)	Data 0.101 (0.196)	Loss 2.5379 (2.6285)	Prec@1 33.203 (36.908)	Prec@5 69.922 (66.669)
Epoch: [65][6880/7045]	Time 0.417 (0.260)	Data 0.365 (0.197)	Loss 2.5726 (2.6284)	Prec@1 36.328 (36.910)	Prec@5 64.062 (66.670)
Epoch: [65][6890/7045]	Time 0.226 (0.260)	Data 0.170 (0.197)	Loss 2.7489 (2.6284)	Prec@1 32.422 (36.909)	Prec@5 62.500 (66.670)
Epoch: [65][6900/7045]	Time 0.361 (0.260)	Data 0.308 (0.197)	Loss 2.6450 (2.6284)	Prec@1 34.375 (36.910)	Prec@5 69.922 (66.670)
Epoch: [65][6910/7045]	Time 0.247 (0.260)	Data 0.190 (0.197)	Loss 2.6490 (2.6284)	Prec@1 35.938 (36.912)	Prec@5 66.797 (66.671)
Epoch: [65][6920/7045]	Time 0.330 (0.260)	Data 0.279 (0.197)	Loss 2.5785 (2.6282)	Prec@1 35.938 (36.913)	Prec@5 67.188 (66.673)
Epoch: [65][6930/7045]	Time 0.260 (0.260)	Data 0.208 (0.197)	Loss 2.5715 (2.6281)	Prec@1 37.109 (36.916)	Prec@5 66.016 (66.675)
Epoch: [65][6940/7045]	Time 0.335 (0.260)	Data 0.284 (0.197)	Loss 2.6689 (2.6281)	Prec@1 35.938 (36.915)	Prec@5 63.281 (66.675)
Epoch: [65][6950/7045]	Time 0.275 (0.260)	Data 0.224 (0.197)	Loss 2.4705 (2.6282)	Prec@1 40.234 (36.913)	Prec@5 67.188 (66.673)
Epoch: [65][6960/7045]	Time 0.458 (0.260)	Data 0.405 (0.197)	Loss 2.7442 (2.6282)	Prec@1 37.500 (36.913)	Prec@5 62.891 (66.672)
Epoch: [65][6970/7045]	Time 0.268 (0.260)	Data 0.217 (0.197)	Loss 2.5950 (2.6283)	Prec@1 35.156 (36.912)	Prec@5 69.141 (66.672)
Epoch: [65][6980/7045]	Time 0.109 (0.260)	Data 0.001 (0.197)	Loss 2.5573 (2.6282)	Prec@1 40.234 (36.912)	Prec@5 69.922 (66.674)
Epoch: [65][6990/7045]	Time 0.102 (0.260)	Data 0.045 (0.197)	Loss 2.7010 (2.6283)	Prec@1 37.891 (36.908)	Prec@5 64.062 (66.673)
Epoch: [65][7000/7045]	Time 0.127 (0.260)	Data 0.076 (0.197)	Loss 2.6353 (2.6282)	Prec@1 37.500 (36.908)	Prec@5 66.406 (66.674)
Epoch: [65][7010/7045]	Time 0.103 (0.260)	Data 0.051 (0.197)	Loss 2.7905 (2.6282)	Prec@1 35.938 (36.909)	Prec@5 63.281 (66.675)
Epoch: [65][7020/7045]	Time 0.159 (0.260)	Data 0.108 (0.197)	Loss 2.5301 (2.6282)	Prec@1 38.672 (36.909)	Prec@5 69.141 (66.676)
Epoch: [65][7030/7045]	Time 0.255 (0.260)	Data 0.205 (0.197)	Loss 2.6597 (2.6282)	Prec@1 35.938 (36.909)	Prec@5 67.578 (66.677)
Epoch: [65][7040/7045]	Time 0.180 (0.260)	Data 0.129 (0.197)	Loss 2.4572 (2.6282)	Prec@1 38.672 (36.909)	Prec@5 69.922 (66.676)
Test: [0/143]	Time 1.225 (1.225)	Loss 2.2119 (2.2119)	Prec@1 50.391 (50.391)	Prec@5 76.953 (76.953)
Test: [10/143]	Time 0.061 (0.240)	Loss 1.7302 (2.0641)	Prec@1 58.984 (49.432)	Prec@5 83.203 (78.551)
Test: [20/143]	Time 0.479 (0.219)	Loss 2.2022 (2.0510)	Prec@1 44.922 (47.749)	Prec@5 75.781 (79.129)
Test: [30/143]	Time 0.059 (0.197)	Loss 2.3245 (2.0682)	Prec@1 44.922 (47.883)	Prec@5 67.969 (77.961)
Test: [40/143]	Time 0.546 (0.199)	Loss 2.6550 (2.1029)	Prec@1 28.516 (46.780)	Prec@5 68.750 (77.067)
Test: [50/143]	Time 0.053 (0.188)	Loss 1.9994 (2.1575)	Prec@1 41.797 (44.975)	Prec@5 81.641 (76.409)
Test: [60/143]	Time 0.458 (0.191)	Loss 2.4201 (2.1414)	Prec@1 37.109 (45.421)	Prec@5 73.047 (76.723)
Test: [70/143]	Time 0.049 (0.185)	Loss 3.0949 (2.1336)	Prec@1 23.828 (45.599)	Prec@5 58.984 (76.876)
Test: [80/143]	Time 0.328 (0.185)	Loss 2.0566 (2.1260)	Prec@1 45.703 (45.766)	Prec@5 80.078 (77.151)
Test: [90/143]	Time 0.191 (0.183)	Loss 1.7916 (2.1155)	Prec@1 58.203 (46.077)	Prec@5 86.328 (77.309)
Test: [100/143]	Time 0.228 (0.182)	Loss 1.9231 (2.1136)	Prec@1 51.953 (46.001)	Prec@5 83.594 (77.379)
Test: [110/143]	Time 0.186 (0.181)	Loss 1.9335 (2.1080)	Prec@1 50.000 (46.256)	Prec@5 79.688 (77.481)
Test: [120/143]	Time 0.132 (0.180)	Loss 1.7837 (2.0999)	Prec@1 55.469 (46.575)	Prec@5 85.547 (77.602)
Test: [130/143]	Time 0.110 (0.180)	Loss 1.6074 (2.1071)	Prec@1 64.844 (46.511)	Prec@5 80.078 (77.383)
Test: [140/143]	Time 0.164 (0.179)	Loss 3.0938 (2.1295)	Prec@1 22.266 (45.969)	Prec@5 60.156 (76.964)
 * Prec@1 45.989 Prec@5 76.992
Epoch: [66][0/7045]	Time 2.358 (2.358)	Data 2.305 (2.305)	Loss 2.7155 (2.7155)	Prec@1 33.984 (33.984)	Prec@5 63.672 (63.672)
Epoch: [66][10/7045]	Time 0.108 (0.414)	Data 0.056 (0.342)	Loss 2.5465 (2.6287)	Prec@1 43.750 (37.749)	Prec@5 68.359 (66.229)
Epoch: [66][20/7045]	Time 0.687 (0.349)	Data 0.629 (0.278)	Loss 2.5438 (2.6095)	Prec@1 37.500 (37.612)	Prec@5 66.016 (67.076)
Epoch: [66][30/7045]	Time 0.107 (0.307)	Data 0.055 (0.240)	Loss 2.5390 (2.6241)	Prec@1 35.156 (37.349)	Prec@5 69.922 (66.797)
Epoch: [66][40/7045]	Time 0.209 (0.298)	Data 0.157 (0.233)	Loss 2.6984 (2.6354)	Prec@1 28.906 (36.909)	Prec@5 65.625 (66.806)
Epoch: [66][50/7045]	Time 0.110 (0.285)	Data 0.058 (0.221)	Loss 2.5901 (2.6276)	Prec@1 37.891 (37.163)	Prec@5 67.188 (66.958)
Epoch: [66][60/7045]	Time 0.226 (0.283)	Data 0.174 (0.218)	Loss 2.6023 (2.6227)	Prec@1 41.797 (37.346)	Prec@5 66.406 (67.085)
Epoch: [66][70/7045]	Time 0.101 (0.278)	Data 0.001 (0.214)	Loss 2.4639 (2.6180)	Prec@1 38.672 (37.285)	Prec@5 71.094 (67.083)
Epoch: [66][80/7045]	Time 0.233 (0.272)	Data 0.182 (0.209)	Loss 2.4815 (2.6147)	Prec@1 39.453 (37.206)	Prec@5 67.578 (67.067)
Epoch: [66][90/7045]	Time 0.107 (0.272)	Data 0.009 (0.209)	Loss 2.5159 (2.6223)	Prec@1 41.406 (37.105)	Prec@5 70.703 (66.917)
Epoch: [66][100/7045]	Time 0.102 (0.269)	Data 0.001 (0.204)	Loss 2.6238 (2.6199)	Prec@1 38.672 (37.032)	Prec@5 69.531 (66.979)
Epoch: [66][110/7045]	Time 0.101 (0.267)	Data 0.046 (0.204)	Loss 2.6609 (2.6248)	Prec@1 34.375 (36.902)	Prec@5 65.625 (66.976)
Epoch: [66][120/7045]	Time 0.584 (0.268)	Data 0.532 (0.205)	Loss 2.8054 (2.6252)	Prec@1 34.766 (36.993)	Prec@5 65.234 (66.936)
Epoch: [66][130/7045]	Time 0.101 (0.265)	Data 0.001 (0.202)	Loss 2.5812 (2.6247)	Prec@1 35.156 (36.975)	Prec@5 66.797 (66.940)
Epoch: [66][140/7045]	Time 0.538 (0.265)	Data 0.487 (0.202)	Loss 2.7293 (2.6249)	Prec@1 32.031 (36.924)	Prec@5 67.578 (66.933)
Epoch: [66][150/7045]	Time 0.294 (0.263)	Data 0.242 (0.200)	Loss 2.4962 (2.6215)	Prec@1 36.719 (36.962)	Prec@5 71.875 (67.006)
Epoch: [66][160/7045]	Time 0.190 (0.262)	Data 0.139 (0.200)	Loss 2.5331 (2.6190)	Prec@1 41.797 (37.063)	Prec@5 71.094 (67.035)
Epoch: [66][170/7045]	Time 0.186 (0.261)	Data 0.135 (0.198)	Loss 2.6701 (2.6202)	Prec@1 35.156 (36.991)	Prec@5 62.891 (66.934)
Epoch: [66][180/7045]	Time 0.103 (0.261)	Data 0.050 (0.199)	Loss 2.6278 (2.6184)	Prec@1 39.844 (37.053)	Prec@5 66.406 (66.961)
Epoch: [66][190/7045]	Time 0.101 (0.259)	Data 0.050 (0.197)	Loss 2.6351 (2.6207)	Prec@1 33.594 (36.987)	Prec@5 67.969 (66.893)
Epoch: [66][200/7045]	Time 0.101 (0.259)	Data 0.050 (0.197)	Loss 2.7634 (2.6200)	Prec@1 30.078 (36.923)	Prec@5 64.453 (66.913)
Epoch: [66][210/7045]	Time 0.608 (0.260)	Data 0.557 (0.199)	Loss 2.4609 (2.6186)	Prec@1 40.234 (36.956)	Prec@5 72.656 (66.952)
Epoch: [66][220/7045]	Time 0.109 (0.259)	Data 0.002 (0.196)	Loss 2.4343 (2.6159)	Prec@1 38.281 (36.961)	Prec@5 68.359 (66.995)
Epoch: [66][230/7045]	Time 0.374 (0.259)	Data 0.323 (0.196)	Loss 2.5162 (2.6134)	Prec@1 42.578 (37.050)	Prec@5 69.922 (67.034)
Epoch: [66][240/7045]	Time 0.387 (0.258)	Data 0.337 (0.196)	Loss 2.7762 (2.6153)	Prec@1 33.203 (37.017)	Prec@5 62.500 (66.993)
Epoch: [66][250/7045]	Time 0.185 (0.263)	Data 0.134 (0.202)	Loss 2.6202 (2.6160)	Prec@1 35.547 (36.996)	Prec@5 65.625 (66.960)
Epoch: [66][260/7045]	Time 0.606 (0.264)	Data 0.555 (0.202)	Loss 2.6901 (2.6193)	Prec@1 37.500 (36.934)	Prec@5 65.625 (66.909)
Epoch: [66][270/7045]	Time 0.110 (0.262)	Data 0.010 (0.200)	Loss 2.6112 (2.6168)	Prec@1 38.281 (36.988)	Prec@5 64.844 (66.927)
Epoch: [66][280/7045]	Time 0.582 (0.263)	Data 0.523 (0.201)	Loss 2.4689 (2.6158)	Prec@1 41.406 (37.045)	Prec@5 66.797 (66.929)
Epoch: [66][290/7045]	Time 0.103 (0.262)	Data 0.001 (0.199)	Loss 2.5929 (2.6162)	Prec@1 37.109 (37.048)	Prec@5 65.234 (66.903)
Epoch: [66][300/7045]	Time 0.139 (0.262)	Data 0.087 (0.200)	Loss 2.8205 (2.6176)	Prec@1 31.250 (37.039)	Prec@5 65.625 (66.850)
Epoch: [66][310/7045]	Time 0.108 (0.261)	Data 0.055 (0.198)	Loss 2.4508 (2.6174)	Prec@1 42.578 (37.052)	Prec@5 68.359 (66.828)
Epoch: [66][320/7045]	Time 0.202 (0.265)	Data 0.144 (0.203)	Loss 2.4256 (2.6167)	Prec@1 39.453 (37.066)	Prec@5 70.312 (66.866)
Epoch: [66][330/7045]	Time 0.159 (0.264)	Data 0.107 (0.202)	Loss 2.4458 (2.6163)	Prec@1 41.797 (37.069)	Prec@5 69.531 (66.883)
Epoch: [66][340/7045]	Time 0.400 (0.264)	Data 0.348 (0.202)	Loss 2.5054 (2.6162)	Prec@1 38.672 (37.105)	Prec@5 69.922 (66.851)
Epoch: [66][350/7045]	Time 0.159 (0.264)	Data 0.107 (0.202)	Loss 2.7533 (2.6166)	Prec@1 33.203 (37.099)	Prec@5 64.062 (66.820)
Epoch: [66][360/7045]	Time 0.461 (0.264)	Data 0.410 (0.202)	Loss 2.5393 (2.6176)	Prec@1 38.281 (37.068)	Prec@5 66.406 (66.807)
Epoch: [66][370/7045]	Time 0.103 (0.263)	Data 0.047 (0.201)	Loss 2.5618 (2.6187)	Prec@1 38.672 (37.046)	Prec@5 67.188 (66.774)
Epoch: [66][380/7045]	Time 0.102 (0.263)	Data 0.001 (0.201)	Loss 2.5726 (2.6178)	Prec@1 42.578 (37.099)	Prec@5 67.188 (66.775)
Epoch: [66][390/7045]	Time 0.102 (0.262)	Data 0.001 (0.200)	Loss 2.5091 (2.6172)	Prec@1 39.453 (37.097)	Prec@5 69.141 (66.807)
Epoch: [66][400/7045]	Time 0.357 (0.264)	Data 0.305 (0.202)	Loss 2.5923 (2.6172)	Prec@1 38.281 (37.067)	Prec@5 69.531 (66.817)
Epoch: [66][410/7045]	Time 0.102 (0.264)	Data 0.050 (0.202)	Loss 2.5808 (2.6167)	Prec@1 33.984 (37.080)	Prec@5 66.016 (66.847)
Epoch: [66][420/7045]	Time 0.158 (0.264)	Data 0.107 (0.202)	Loss 2.6629 (2.6162)	Prec@1 32.031 (37.055)	Prec@5 64.062 (66.853)
Epoch: [66][430/7045]	Time 0.126 (0.264)	Data 0.073 (0.202)	Loss 2.7832 (2.6182)	Prec@1 33.203 (37.060)	Prec@5 65.625 (66.817)
Epoch: [66][440/7045]	Time 0.101 (0.263)	Data 0.005 (0.201)	Loss 2.5620 (2.6174)	Prec@1 38.672 (37.060)	Prec@5 67.969 (66.841)
Epoch: [66][450/7045]	Time 0.102 (0.263)	Data 0.003 (0.201)	Loss 2.6803 (2.6177)	Prec@1 32.422 (37.044)	Prec@5 66.406 (66.831)
Epoch: [66][460/7045]	Time 0.351 (0.263)	Data 0.300 (0.201)	Loss 2.4039 (2.6171)	Prec@1 38.281 (37.060)	Prec@5 71.094 (66.832)
Epoch: [66][470/7045]	Time 0.102 (0.263)	Data 0.006 (0.201)	Loss 2.6337 (2.6175)	Prec@1 34.766 (37.065)	Prec@5 65.234 (66.825)
Epoch: [66][480/7045]	Time 0.501 (0.263)	Data 0.444 (0.201)	Loss 2.6633 (2.6161)	Prec@1 38.281 (37.094)	Prec@5 64.844 (66.863)
Epoch: [66][490/7045]	Time 0.105 (0.267)	Data 0.001 (0.205)	Loss 2.5342 (2.6160)	Prec@1 37.891 (37.098)	Prec@5 66.016 (66.868)
Epoch: [66][500/7045]	Time 0.455 (0.267)	Data 0.403 (0.205)	Loss 2.5797 (2.6165)	Prec@1 37.109 (37.077)	Prec@5 66.016 (66.848)
Epoch: [66][510/7045]	Time 0.224 (0.267)	Data 0.172 (0.205)	Loss 2.7745 (2.6161)	Prec@1 32.422 (37.086)	Prec@5 65.625 (66.850)
Epoch: [66][520/7045]	Time 0.398 (0.266)	Data 0.347 (0.205)	Loss 2.5756 (2.6155)	Prec@1 41.797 (37.086)	Prec@5 68.359 (66.873)
Epoch: [66][530/7045]	Time 0.236 (0.266)	Data 0.179 (0.204)	Loss 2.5692 (2.6158)	Prec@1 39.844 (37.080)	Prec@5 67.578 (66.845)
Epoch: [66][540/7045]	Time 0.408 (0.265)	Data 0.358 (0.204)	Loss 2.6746 (2.6168)	Prec@1 36.328 (37.057)	Prec@5 64.453 (66.832)
Epoch: [66][550/7045]	Time 0.217 (0.265)	Data 0.166 (0.204)	Loss 2.5588 (2.6162)	Prec@1 39.062 (37.057)	Prec@5 66.016 (66.842)
Epoch: [66][560/7045]	Time 0.258 (0.267)	Data 0.206 (0.206)	Loss 2.5866 (2.6161)	Prec@1 40.234 (37.057)	Prec@5 67.578 (66.853)
Epoch: [66][570/7045]	Time 0.321 (0.266)	Data 0.271 (0.206)	Loss 2.6225 (2.6153)	Prec@1 37.109 (37.077)	Prec@5 67.969 (66.854)
Epoch: [66][580/7045]	Time 0.236 (0.266)	Data 0.184 (0.205)	Loss 2.4870 (2.6151)	Prec@1 37.891 (37.106)	Prec@5 73.047 (66.867)
Epoch: [66][590/7045]	Time 0.498 (0.266)	Data 0.434 (0.205)	Loss 2.6112 (2.6147)	Prec@1 38.281 (37.120)	Prec@5 68.359 (66.873)
Epoch: [66][600/7045]	Time 0.234 (0.265)	Data 0.183 (0.205)	Loss 2.6352 (2.6151)	Prec@1 37.109 (37.111)	Prec@5 66.797 (66.864)
Epoch: [66][610/7045]	Time 0.346 (0.265)	Data 0.294 (0.205)	Loss 2.5845 (2.6162)	Prec@1 38.672 (37.074)	Prec@5 71.094 (66.845)
Epoch: [66][620/7045]	Time 0.102 (0.265)	Data 0.009 (0.205)	Loss 2.6072 (2.6169)	Prec@1 40.234 (37.084)	Prec@5 67.188 (66.828)
Epoch: [66][630/7045]	Time 0.177 (0.265)	Data 0.126 (0.205)	Loss 2.6952 (2.6171)	Prec@1 34.766 (37.082)	Prec@5 64.453 (66.810)
Epoch: [66][640/7045]	Time 0.126 (0.268)	Data 0.074 (0.208)	Loss 2.5624 (2.6167)	Prec@1 40.234 (37.080)	Prec@5 68.750 (66.827)
Epoch: [66][650/7045]	Time 0.546 (0.268)	Data 0.495 (0.208)	Loss 2.6236 (2.6164)	Prec@1 39.062 (37.082)	Prec@5 66.406 (66.846)
Epoch: [66][660/7045]	Time 0.108 (0.267)	Data 0.056 (0.207)	Loss 2.4598 (2.6171)	Prec@1 39.844 (37.077)	Prec@5 72.266 (66.835)
Epoch: [66][670/7045]	Time 0.559 (0.267)	Data 0.509 (0.207)	Loss 2.3415 (2.6170)	Prec@1 41.797 (37.083)	Prec@5 71.094 (66.823)
Epoch: [66][680/7045]	Time 0.113 (0.267)	Data 0.054 (0.207)	Loss 2.4011 (2.6164)	Prec@1 42.969 (37.101)	Prec@5 70.703 (66.842)
Epoch: [66][690/7045]	Time 0.757 (0.267)	Data 0.698 (0.207)	Loss 2.6273 (2.6159)	Prec@1 35.938 (37.118)	Prec@5 67.578 (66.863)
Epoch: [66][700/7045]	Time 0.110 (0.266)	Data 0.059 (0.206)	Loss 2.5816 (2.6158)	Prec@1 42.188 (37.116)	Prec@5 69.531 (66.863)
Epoch: [66][710/7045]	Time 0.627 (0.268)	Data 0.575 (0.208)	Loss 2.6277 (2.6164)	Prec@1 32.812 (37.096)	Prec@5 67.969 (66.856)
Epoch: [66][720/7045]	Time 0.101 (0.268)	Data 0.001 (0.207)	Loss 2.6132 (2.6160)	Prec@1 35.547 (37.091)	Prec@5 69.141 (66.860)
Epoch: [66][730/7045]	Time 0.559 (0.268)	Data 0.508 (0.207)	Loss 2.5814 (2.6151)	Prec@1 38.672 (37.097)	Prec@5 69.531 (66.886)
Epoch: [66][740/7045]	Time 0.144 (0.267)	Data 0.091 (0.207)	Loss 2.5946 (2.6144)	Prec@1 41.406 (37.116)	Prec@5 71.875 (66.909)
Epoch: [66][750/7045]	Time 0.342 (0.267)	Data 0.291 (0.206)	Loss 2.7995 (2.6147)	Prec@1 28.906 (37.111)	Prec@5 61.328 (66.892)
Epoch: [66][760/7045]	Time 0.258 (0.267)	Data 0.207 (0.206)	Loss 2.7548 (2.6143)	Prec@1 38.281 (37.117)	Prec@5 64.062 (66.908)
Epoch: [66][770/7045]	Time 0.109 (0.266)	Data 0.056 (0.206)	Loss 2.5527 (2.6149)	Prec@1 36.719 (37.104)	Prec@5 68.750 (66.910)
Epoch: [66][780/7045]	Time 0.667 (0.267)	Data 0.616 (0.207)	Loss 2.4406 (2.6146)	Prec@1 42.578 (37.118)	Prec@5 67.188 (66.918)
Epoch: [66][790/7045]	Time 0.103 (0.267)	Data 0.052 (0.206)	Loss 2.9139 (2.6152)	Prec@1 29.297 (37.108)	Prec@5 62.891 (66.899)
Epoch: [66][800/7045]	Time 0.102 (0.267)	Data 0.002 (0.206)	Loss 2.6029 (2.6158)	Prec@1 37.109 (37.116)	Prec@5 67.969 (66.884)
Epoch: [66][810/7045]	Time 0.344 (0.266)	Data 0.292 (0.206)	Loss 2.5009 (2.6152)	Prec@1 41.016 (37.133)	Prec@5 69.922 (66.902)
Epoch: [66][820/7045]	Time 0.445 (0.269)	Data 0.393 (0.209)	Loss 2.6365 (2.6154)	Prec@1 33.203 (37.123)	Prec@5 67.188 (66.904)
Epoch: [66][830/7045]	Time 0.102 (0.268)	Data 0.001 (0.208)	Loss 2.6356 (2.6156)	Prec@1 38.281 (37.126)	Prec@5 68.359 (66.905)
Epoch: [66][840/7045]	Time 0.758 (0.269)	Data 0.706 (0.208)	Loss 2.8542 (2.6163)	Prec@1 35.938 (37.127)	Prec@5 62.109 (66.895)
Epoch: [66][850/7045]	Time 0.104 (0.268)	Data 0.001 (0.207)	Loss 2.5713 (2.6162)	Prec@1 38.672 (37.125)	Prec@5 66.406 (66.887)
Epoch: [66][860/7045]	Time 0.573 (0.268)	Data 0.521 (0.207)	Loss 2.6723 (2.6167)	Prec@1 36.719 (37.121)	Prec@5 65.625 (66.882)
Epoch: [66][870/7045]	Time 0.109 (0.267)	Data 0.001 (0.206)	Loss 2.7374 (2.6173)	Prec@1 35.938 (37.102)	Prec@5 61.719 (66.870)
Epoch: [66][880/7045]	Time 0.716 (0.268)	Data 0.663 (0.206)	Loss 2.6502 (2.6174)	Prec@1 38.672 (37.100)	Prec@5 66.016 (66.875)
Epoch: [66][890/7045]	Time 0.108 (0.267)	Data 0.050 (0.206)	Loss 2.6652 (2.6177)	Prec@1 37.109 (37.083)	Prec@5 67.188 (66.862)
Epoch: [66][900/7045]	Time 0.702 (0.267)	Data 0.649 (0.206)	Loss 2.6077 (2.6165)	Prec@1 36.328 (37.112)	Prec@5 66.406 (66.878)
Epoch: [66][910/7045]	Time 0.101 (0.266)	Data 0.001 (0.205)	Loss 2.6732 (2.6168)	Prec@1 36.719 (37.114)	Prec@5 65.625 (66.883)
Epoch: [66][920/7045]	Time 0.624 (0.268)	Data 0.574 (0.206)	Loss 2.5997 (2.6171)	Prec@1 37.500 (37.103)	Prec@5 68.359 (66.878)
Epoch: [66][930/7045]	Time 0.125 (0.268)	Data 0.073 (0.206)	Loss 2.7386 (2.6173)	Prec@1 35.156 (37.102)	Prec@5 62.109 (66.874)
Epoch: [66][940/7045]	Time 0.104 (0.267)	Data 0.049 (0.206)	Loss 2.6866 (2.6168)	Prec@1 37.109 (37.122)	Prec@5 66.016 (66.887)
Epoch: [66][950/7045]	Time 0.102 (0.267)	Data 0.001 (0.205)	Loss 2.4234 (2.6170)	Prec@1 39.062 (37.095)	Prec@5 75.781 (66.881)
Epoch: [66][960/7045]	Time 0.099 (0.267)	Data 0.003 (0.205)	Loss 2.8195 (2.6169)	Prec@1 30.859 (37.100)	Prec@5 63.672 (66.877)
Epoch: [66][970/7045]	Time 0.102 (0.267)	Data 0.003 (0.204)	Loss 2.7173 (2.6174)	Prec@1 35.547 (37.083)	Prec@5 67.188 (66.871)
Epoch: [66][980/7045]	Time 0.107 (0.267)	Data 0.008 (0.204)	Loss 2.5816 (2.6180)	Prec@1 35.938 (37.070)	Prec@5 68.359 (66.863)
Epoch: [66][990/7045]	Time 0.249 (0.266)	Data 0.196 (0.204)	Loss 2.6722 (2.6181)	Prec@1 34.375 (37.080)	Prec@5 67.578 (66.867)
Epoch: [66][1000/7045]	Time 0.148 (0.266)	Data 0.090 (0.204)	Loss 2.6578 (2.6184)	Prec@1 37.891 (37.075)	Prec@5 66.016 (66.863)
Epoch: [66][1010/7045]	Time 0.102 (0.267)	Data 0.003 (0.205)	Loss 2.8330 (2.6189)	Prec@1 33.594 (37.058)	Prec@5 62.891 (66.853)
Epoch: [66][1020/7045]	Time 0.424 (0.267)	Data 0.371 (0.205)	Loss 2.5812 (2.6188)	Prec@1 37.891 (37.067)	Prec@5 64.844 (66.853)
Epoch: [66][1030/7045]	Time 0.174 (0.267)	Data 0.122 (0.205)	Loss 2.3644 (2.6189)	Prec@1 43.359 (37.063)	Prec@5 73.047 (66.847)
Epoch: [66][1040/7045]	Time 0.616 (0.267)	Data 0.565 (0.205)	Loss 2.4778 (2.6190)	Prec@1 37.891 (37.059)	Prec@5 67.969 (66.835)
Epoch: [66][1050/7045]	Time 0.293 (0.267)	Data 0.243 (0.205)	Loss 2.5374 (2.6192)	Prec@1 37.891 (37.054)	Prec@5 65.625 (66.830)
Epoch: [66][1060/7045]	Time 0.413 (0.267)	Data 0.363 (0.204)	Loss 2.5598 (2.6192)	Prec@1 37.500 (37.050)	Prec@5 66.016 (66.831)
Epoch: [66][1070/7045]	Time 0.224 (0.266)	Data 0.175 (0.204)	Loss 2.8125 (2.6195)	Prec@1 32.422 (37.038)	Prec@5 63.672 (66.830)
Epoch: [66][1080/7045]	Time 0.503 (0.266)	Data 0.452 (0.204)	Loss 2.6540 (2.6200)	Prec@1 33.984 (37.027)	Prec@5 63.281 (66.816)
Epoch: [66][1090/7045]	Time 0.285 (0.268)	Data 0.235 (0.205)	Loss 2.7711 (2.6199)	Prec@1 35.547 (37.029)	Prec@5 61.719 (66.813)
Epoch: [66][1100/7045]	Time 0.629 (0.268)	Data 0.577 (0.205)	Loss 2.5518 (2.6203)	Prec@1 38.672 (37.028)	Prec@5 67.578 (66.805)
Epoch: [66][1110/7045]	Time 0.111 (0.267)	Data 0.060 (0.205)	Loss 2.6619 (2.6203)	Prec@1 31.250 (37.029)	Prec@5 64.453 (66.811)
Epoch: [66][1120/7045]	Time 0.420 (0.267)	Data 0.368 (0.205)	Loss 2.4790 (2.6204)	Prec@1 42.188 (37.032)	Prec@5 71.875 (66.804)
Epoch: [66][1130/7045]	Time 0.103 (0.267)	Data 0.051 (0.204)	Loss 2.5780 (2.6206)	Prec@1 36.328 (37.034)	Prec@5 69.922 (66.801)
Epoch: [66][1140/7045]	Time 0.386 (0.267)	Data 0.335 (0.204)	Loss 2.7001 (2.6207)	Prec@1 35.938 (37.033)	Prec@5 65.234 (66.797)
Epoch: [66][1150/7045]	Time 0.204 (0.266)	Data 0.153 (0.204)	Loss 2.6758 (2.6208)	Prec@1 35.547 (37.019)	Prec@5 67.188 (66.799)
Epoch: [66][1160/7045]	Time 0.504 (0.267)	Data 0.447 (0.205)	Loss 2.5351 (2.6207)	Prec@1 37.109 (37.019)	Prec@5 67.969 (66.807)
Epoch: [66][1170/7045]	Time 0.325 (0.267)	Data 0.264 (0.205)	Loss 2.6533 (2.6208)	Prec@1 33.594 (37.011)	Prec@5 68.750 (66.811)
Epoch: [66][1180/7045]	Time 0.330 (0.267)	Data 0.280 (0.205)	Loss 2.5295 (2.6205)	Prec@1 35.156 (37.007)	Prec@5 70.312 (66.826)
Epoch: [66][1190/7045]	Time 0.399 (0.267)	Data 0.347 (0.205)	Loss 2.8123 (2.6200)	Prec@1 32.812 (37.004)	Prec@5 63.281 (66.838)
Epoch: [66][1200/7045]	Time 0.284 (0.267)	Data 0.234 (0.205)	Loss 2.5789 (2.6204)	Prec@1 33.984 (36.988)	Prec@5 66.406 (66.827)
Epoch: [66][1210/7045]	Time 0.101 (0.266)	Data 0.001 (0.204)	Loss 2.7674 (2.6200)	Prec@1 35.156 (36.993)	Prec@5 64.844 (66.839)
Epoch: [66][1220/7045]	Time 0.189 (0.266)	Data 0.138 (0.204)	Loss 2.7328 (2.6203)	Prec@1 33.203 (36.988)	Prec@5 61.719 (66.839)
Epoch: [66][1230/7045]	Time 0.348 (0.266)	Data 0.296 (0.204)	Loss 2.6531 (2.6208)	Prec@1 39.062 (36.979)	Prec@5 66.016 (66.829)
Epoch: [66][1240/7045]	Time 0.102 (0.267)	Data 0.001 (0.205)	Loss 2.7107 (2.6205)	Prec@1 32.422 (36.987)	Prec@5 66.406 (66.843)
Epoch: [66][1250/7045]	Time 0.122 (0.267)	Data 0.065 (0.205)	Loss 2.5588 (2.6208)	Prec@1 38.672 (36.980)	Prec@5 68.359 (66.838)
Epoch: [66][1260/7045]	Time 0.103 (0.266)	Data 0.046 (0.204)	Loss 2.6053 (2.6206)	Prec@1 37.500 (36.992)	Prec@5 66.406 (66.841)
Epoch: [66][1270/7045]	Time 0.110 (0.267)	Data 0.051 (0.204)	Loss 2.6141 (2.6200)	Prec@1 33.594 (37.001)	Prec@5 64.453 (66.851)
Epoch: [66][1280/7045]	Time 0.105 (0.266)	Data 0.053 (0.204)	Loss 2.5969 (2.6203)	Prec@1 37.109 (36.990)	Prec@5 65.234 (66.841)
Epoch: [66][1290/7045]	Time 0.108 (0.266)	Data 0.006 (0.204)	Loss 2.4333 (2.6196)	Prec@1 40.234 (37.005)	Prec@5 69.531 (66.856)
Epoch: [66][1300/7045]	Time 0.104 (0.266)	Data 0.053 (0.203)	Loss 2.5463 (2.6192)	Prec@1 36.719 (37.009)	Prec@5 68.359 (66.862)
Epoch: [66][1310/7045]	Time 0.102 (0.266)	Data 0.001 (0.204)	Loss 2.6845 (2.6199)	Prec@1 37.500 (37.004)	Prec@5 65.625 (66.845)
Epoch: [66][1320/7045]	Time 0.101 (0.266)	Data 0.046 (0.204)	Loss 2.9691 (2.6203)	Prec@1 29.297 (36.989)	Prec@5 62.500 (66.839)
Epoch: [66][1330/7045]	Time 0.153 (0.266)	Data 0.102 (0.203)	Loss 2.7644 (2.6204)	Prec@1 33.203 (36.979)	Prec@5 62.500 (66.836)
Epoch: [66][1340/7045]	Time 0.193 (0.266)	Data 0.142 (0.203)	Loss 2.5625 (2.6203)	Prec@1 38.281 (36.978)	Prec@5 68.750 (66.843)
Epoch: [66][1350/7045]	Time 0.103 (0.266)	Data 0.008 (0.203)	Loss 2.3983 (2.6205)	Prec@1 40.625 (36.979)	Prec@5 70.312 (66.836)
Epoch: [66][1360/7045]	Time 0.121 (0.265)	Data 0.069 (0.203)	Loss 2.5047 (2.6206)	Prec@1 39.062 (36.980)	Prec@5 67.188 (66.827)
Epoch: [66][1370/7045]	Time 0.101 (0.265)	Data 0.007 (0.203)	Loss 2.7237 (2.6206)	Prec@1 35.156 (36.974)	Prec@5 66.797 (66.827)
Epoch: [66][1380/7045]	Time 0.239 (0.265)	Data 0.188 (0.203)	Loss 2.6182 (2.6209)	Prec@1 35.547 (36.972)	Prec@5 66.406 (66.821)
Epoch: [66][1390/7045]	Time 0.102 (0.265)	Data 0.001 (0.203)	Loss 2.7184 (2.6207)	Prec@1 37.891 (36.977)	Prec@5 65.234 (66.824)
Epoch: [66][1400/7045]	Time 0.365 (0.265)	Data 0.314 (0.203)	Loss 2.6405 (2.6210)	Prec@1 38.672 (36.975)	Prec@5 65.234 (66.818)
Epoch: [66][1410/7045]	Time 0.102 (0.265)	Data 0.050 (0.203)	Loss 2.5969 (2.6214)	Prec@1 39.453 (36.969)	Prec@5 67.969 (66.812)
Epoch: [66][1420/7045]	Time 0.261 (0.265)	Data 0.204 (0.203)	Loss 2.6524 (2.6213)	Prec@1 31.641 (36.969)	Prec@5 67.188 (66.816)
Epoch: [66][1430/7045]	Time 0.110 (0.265)	Data 0.058 (0.202)	Loss 2.5571 (2.6206)	Prec@1 40.234 (36.984)	Prec@5 66.797 (66.824)
Epoch: [66][1440/7045]	Time 0.220 (0.265)	Data 0.170 (0.202)	Loss 2.6630 (2.6204)	Prec@1 34.375 (36.978)	Prec@5 66.797 (66.830)
Epoch: [66][1450/7045]	Time 0.102 (0.265)	Data 0.006 (0.202)	Loss 2.7655 (2.6208)	Prec@1 34.375 (36.975)	Prec@5 60.156 (66.826)
Epoch: [66][1460/7045]	Time 0.230 (0.264)	Data 0.177 (0.202)	Loss 2.7341 (2.6209)	Prec@1 37.109 (36.978)	Prec@5 64.062 (66.818)
Epoch: [66][1470/7045]	Time 0.109 (0.264)	Data 0.001 (0.202)	Loss 2.5383 (2.6206)	Prec@1 39.453 (36.987)	Prec@5 67.188 (66.824)
Epoch: [66][1480/7045]	Time 0.240 (0.264)	Data 0.189 (0.202)	Loss 2.5727 (2.6212)	Prec@1 38.281 (36.979)	Prec@5 68.750 (66.813)
Epoch: [66][1490/7045]	Time 0.103 (0.265)	Data 0.001 (0.202)	Loss 2.5768 (2.6211)	Prec@1 36.719 (36.976)	Prec@5 69.141 (66.817)
Epoch: [66][1500/7045]	Time 0.299 (0.264)	Data 0.247 (0.202)	Loss 2.5856 (2.6211)	Prec@1 35.156 (36.972)	Prec@5 66.016 (66.819)
Epoch: [66][1510/7045]	Time 0.165 (0.267)	Data 0.114 (0.204)	Loss 2.7919 (2.6211)	Prec@1 32.031 (36.966)	Prec@5 63.281 (66.816)
Epoch: [66][1520/7045]	Time 0.427 (0.267)	Data 0.376 (0.204)	Loss 2.5522 (2.6211)	Prec@1 37.891 (36.966)	Prec@5 66.797 (66.818)
Epoch: [66][1530/7045]	Time 0.102 (0.266)	Data 0.003 (0.204)	Loss 2.6133 (2.6208)	Prec@1 38.281 (36.977)	Prec@5 66.797 (66.820)
Epoch: [66][1540/7045]	Time 0.537 (0.266)	Data 0.485 (0.204)	Loss 2.6439 (2.6202)	Prec@1 34.766 (36.980)	Prec@5 63.281 (66.827)
Epoch: [66][1550/7045]	Time 0.103 (0.266)	Data 0.051 (0.204)	Loss 2.9455 (2.6210)	Prec@1 33.984 (36.972)	Prec@5 61.719 (66.807)
Epoch: [66][1560/7045]	Time 0.368 (0.266)	Data 0.318 (0.204)	Loss 2.6233 (2.6210)	Prec@1 37.500 (36.965)	Prec@5 67.578 (66.804)
Epoch: [66][1570/7045]	Time 0.228 (0.266)	Data 0.178 (0.204)	Loss 2.6292 (2.6210)	Prec@1 37.891 (36.957)	Prec@5 67.188 (66.807)
Epoch: [66][1580/7045]	Time 0.263 (0.267)	Data 0.212 (0.205)	Loss 2.5395 (2.6215)	Prec@1 34.766 (36.950)	Prec@5 68.750 (66.801)
Epoch: [66][1590/7045]	Time 0.342 (0.267)	Data 0.289 (0.205)	Loss 2.7572 (2.6214)	Prec@1 37.891 (36.950)	Prec@5 62.109 (66.795)
Epoch: [66][1600/7045]	Time 0.223 (0.267)	Data 0.171 (0.205)	Loss 2.7464 (2.6212)	Prec@1 32.422 (36.955)	Prec@5 63.672 (66.798)
Epoch: [66][1610/7045]	Time 0.404 (0.267)	Data 0.351 (0.205)	Loss 2.6943 (2.6209)	Prec@1 35.156 (36.947)	Prec@5 65.234 (66.808)
Epoch: [66][1620/7045]	Time 0.103 (0.266)	Data 0.047 (0.204)	Loss 2.7839 (2.6210)	Prec@1 33.203 (36.945)	Prec@5 63.281 (66.808)
Epoch: [66][1630/7045]	Time 0.424 (0.268)	Data 0.373 (0.205)	Loss 2.7609 (2.6208)	Prec@1 35.938 (36.947)	Prec@5 62.891 (66.811)
Epoch: [66][1640/7045]	Time 0.447 (0.267)	Data 0.396 (0.205)	Loss 2.6541 (2.6209)	Prec@1 33.203 (36.950)	Prec@5 66.406 (66.809)
Epoch: [66][1650/7045]	Time 0.321 (0.267)	Data 0.272 (0.205)	Loss 2.7224 (2.6210)	Prec@1 33.203 (36.942)	Prec@5 66.406 (66.813)
Epoch: [66][1660/7045]	Time 0.622 (0.267)	Data 0.572 (0.205)	Loss 2.7689 (2.6213)	Prec@1 31.250 (36.932)	Prec@5 63.281 (66.801)
Epoch: [66][1670/7045]	Time 0.107 (0.267)	Data 0.001 (0.205)	Loss 2.7335 (2.6215)	Prec@1 33.203 (36.928)	Prec@5 64.062 (66.797)
Epoch: [66][1680/7045]	Time 0.639 (0.267)	Data 0.588 (0.205)	Loss 2.4388 (2.6217)	Prec@1 39.844 (36.926)	Prec@5 68.359 (66.788)
Epoch: [66][1690/7045]	Time 0.116 (0.267)	Data 0.065 (0.204)	Loss 2.5016 (2.6215)	Prec@1 40.234 (36.933)	Prec@5 69.922 (66.793)
Epoch: [66][1700/7045]	Time 1.805 (0.267)	Data 1.752 (0.205)	Loss 2.5759 (2.6217)	Prec@1 36.328 (36.924)	Prec@5 66.016 (66.787)
Epoch: [66][1710/7045]	Time 0.105 (0.267)	Data 0.052 (0.205)	Loss 2.4709 (2.6218)	Prec@1 38.281 (36.919)	Prec@5 69.141 (66.782)
Epoch: [66][1720/7045]	Time 0.653 (0.267)	Data 0.600 (0.205)	Loss 2.5202 (2.6215)	Prec@1 37.891 (36.927)	Prec@5 68.750 (66.788)
Epoch: [66][1730/7045]	Time 0.152 (0.267)	Data 0.100 (0.204)	Loss 2.5892 (2.6212)	Prec@1 33.594 (36.934)	Prec@5 68.750 (66.797)
Epoch: [66][1740/7045]	Time 0.507 (0.267)	Data 0.455 (0.204)	Loss 2.5772 (2.6208)	Prec@1 37.109 (36.938)	Prec@5 68.750 (66.808)
Epoch: [66][1750/7045]	Time 0.236 (0.267)	Data 0.185 (0.204)	Loss 2.6953 (2.6210)	Prec@1 34.375 (36.934)	Prec@5 66.797 (66.805)
Epoch: [66][1760/7045]	Time 0.366 (0.266)	Data 0.315 (0.204)	Loss 2.5920 (2.6207)	Prec@1 37.109 (36.937)	Prec@5 67.188 (66.811)
Epoch: [66][1770/7045]	Time 0.285 (0.266)	Data 0.234 (0.204)	Loss 2.6522 (2.6208)	Prec@1 37.109 (36.935)	Prec@5 64.062 (66.809)
Epoch: [66][1780/7045]	Time 0.121 (0.267)	Data 0.069 (0.204)	Loss 2.6873 (2.6212)	Prec@1 39.844 (36.929)	Prec@5 65.625 (66.802)
Epoch: [66][1790/7045]	Time 0.366 (0.267)	Data 0.314 (0.204)	Loss 2.5406 (2.6210)	Prec@1 40.234 (36.938)	Prec@5 66.797 (66.803)
Epoch: [66][1800/7045]	Time 0.101 (0.266)	Data 0.006 (0.204)	Loss 2.7198 (2.6212)	Prec@1 30.859 (36.932)	Prec@5 66.016 (66.797)
Epoch: [66][1810/7045]	Time 0.248 (0.266)	Data 0.198 (0.203)	Loss 2.5069 (2.6211)	Prec@1 37.891 (36.935)	Prec@5 72.656 (66.799)
Epoch: [66][1820/7045]	Time 0.102 (0.266)	Data 0.050 (0.203)	Loss 2.6496 (2.6212)	Prec@1 35.938 (36.938)	Prec@5 65.625 (66.794)
Epoch: [66][1830/7045]	Time 0.108 (0.266)	Data 0.057 (0.203)	Loss 2.5861 (2.6214)	Prec@1 38.672 (36.938)	Prec@5 65.234 (66.790)
Epoch: [66][1840/7045]	Time 0.102 (0.266)	Data 0.006 (0.203)	Loss 2.6231 (2.6214)	Prec@1 36.719 (36.931)	Prec@5 70.703 (66.793)
Epoch: [66][1850/7045]	Time 0.102 (0.266)	Data 0.005 (0.203)	Loss 2.5860 (2.6212)	Prec@1 41.797 (36.932)	Prec@5 65.234 (66.795)
Epoch: [66][1860/7045]	Time 0.101 (0.266)	Data 0.001 (0.203)	Loss 2.8133 (2.6214)	Prec@1 32.031 (36.928)	Prec@5 67.188 (66.793)
Epoch: [66][1870/7045]	Time 0.107 (0.266)	Data 0.001 (0.203)	Loss 2.5157 (2.6213)	Prec@1 36.719 (36.928)	Prec@5 71.094 (66.795)
Epoch: [66][1880/7045]	Time 0.297 (0.266)	Data 0.247 (0.203)	Loss 2.7810 (2.6216)	Prec@1 30.859 (36.919)	Prec@5 65.234 (66.794)
Epoch: [66][1890/7045]	Time 0.185 (0.266)	Data 0.124 (0.203)	Loss 2.6862 (2.6218)	Prec@1 33.984 (36.921)	Prec@5 64.453 (66.790)
Epoch: [66][1900/7045]	Time 0.253 (0.266)	Data 0.202 (0.203)	Loss 2.8608 (2.6218)	Prec@1 34.766 (36.923)	Prec@5 62.500 (66.788)
Epoch: [66][1910/7045]	Time 0.205 (0.266)	Data 0.154 (0.203)	Loss 2.4780 (2.6221)	Prec@1 41.016 (36.918)	Prec@5 72.266 (66.780)
Epoch: [66][1920/7045]	Time 0.111 (0.265)	Data 0.059 (0.203)	Loss 2.5357 (2.6218)	Prec@1 34.766 (36.918)	Prec@5 67.969 (66.787)
Epoch: [66][1930/7045]	Time 0.103 (0.265)	Data 0.052 (0.203)	Loss 2.5456 (2.6216)	Prec@1 36.719 (36.921)	Prec@5 68.750 (66.798)
Epoch: [66][1940/7045]	Time 0.152 (0.265)	Data 0.101 (0.202)	Loss 2.5721 (2.6213)	Prec@1 36.719 (36.927)	Prec@5 69.922 (66.806)
Epoch: [66][1950/7045]	Time 0.104 (0.265)	Data 0.052 (0.202)	Loss 2.5655 (2.6210)	Prec@1 40.625 (36.935)	Prec@5 64.453 (66.815)
Epoch: [66][1960/7045]	Time 0.102 (0.266)	Data 0.001 (0.204)	Loss 2.7063 (2.6209)	Prec@1 33.594 (36.930)	Prec@5 67.578 (66.819)
Epoch: [66][1970/7045]	Time 0.100 (0.266)	Data 0.005 (0.204)	Loss 2.7556 (2.6207)	Prec@1 33.594 (36.932)	Prec@5 66.797 (66.820)
Epoch: [66][1980/7045]	Time 0.110 (0.266)	Data 0.059 (0.203)	Loss 2.6334 (2.6208)	Prec@1 40.234 (36.928)	Prec@5 67.969 (66.824)
Epoch: [66][1990/7045]	Time 0.101 (0.266)	Data 0.002 (0.203)	Loss 2.3690 (2.6205)	Prec@1 42.969 (36.933)	Prec@5 72.656 (66.832)
Epoch: [66][2000/7045]	Time 0.101 (0.266)	Data 0.044 (0.203)	Loss 2.5652 (2.6201)	Prec@1 39.453 (36.946)	Prec@5 69.141 (66.836)
Epoch: [66][2010/7045]	Time 0.156 (0.267)	Data 0.099 (0.204)	Loss 2.4037 (2.6199)	Prec@1 38.281 (36.948)	Prec@5 70.703 (66.836)
Epoch: [66][2020/7045]	Time 0.102 (0.266)	Data 0.005 (0.204)	Loss 2.3839 (2.6199)	Prec@1 41.797 (36.947)	Prec@5 70.703 (66.836)
Epoch: [66][2030/7045]	Time 0.189 (0.266)	Data 0.137 (0.204)	Loss 2.5726 (2.6199)	Prec@1 39.453 (36.944)	Prec@5 66.406 (66.837)
Epoch: [66][2040/7045]	Time 0.102 (0.266)	Data 0.001 (0.203)	Loss 2.7194 (2.6197)	Prec@1 35.547 (36.948)	Prec@5 62.109 (66.838)
Epoch: [66][2050/7045]	Time 0.108 (0.266)	Data 0.001 (0.203)	Loss 2.6225 (2.6198)	Prec@1 39.453 (36.943)	Prec@5 68.750 (66.839)
Epoch: [66][2060/7045]	Time 0.101 (0.266)	Data 0.001 (0.203)	Loss 2.4404 (2.6197)	Prec@1 41.797 (36.944)	Prec@5 68.359 (66.839)
Epoch: [66][2070/7045]	Time 0.109 (0.266)	Data 0.002 (0.203)	Loss 2.7214 (2.6198)	Prec@1 31.250 (36.939)	Prec@5 65.625 (66.840)
Epoch: [66][2080/7045]	Time 0.145 (0.266)	Data 0.092 (0.202)	Loss 2.6285 (2.6194)	Prec@1 39.062 (36.950)	Prec@5 64.453 (66.849)
Epoch: [66][2090/7045]	Time 0.107 (0.266)	Data 0.053 (0.203)	Loss 2.5486 (2.6194)	Prec@1 39.062 (36.951)	Prec@5 67.578 (66.847)
Epoch: [66][2100/7045]	Time 0.615 (0.266)	Data 0.564 (0.203)	Loss 2.4840 (2.6191)	Prec@1 37.109 (36.956)	Prec@5 70.703 (66.855)
Epoch: [66][2110/7045]	Time 0.103 (0.266)	Data 0.001 (0.203)	Loss 2.5706 (2.6192)	Prec@1 37.891 (36.960)	Prec@5 67.969 (66.853)
Epoch: [66][2120/7045]	Time 0.526 (0.266)	Data 0.470 (0.203)	Loss 2.5661 (2.6191)	Prec@1 40.234 (36.963)	Prec@5 66.797 (66.853)
Epoch: [66][2130/7045]	Time 0.508 (0.266)	Data 0.457 (0.203)	Loss 2.6269 (2.6193)	Prec@1 39.062 (36.967)	Prec@5 67.188 (66.851)
Epoch: [66][2140/7045]	Time 0.234 (0.266)	Data 0.177 (0.203)	Loss 2.6673 (2.6190)	Prec@1 42.578 (36.978)	Prec@5 65.625 (66.854)
Epoch: [66][2150/7045]	Time 0.463 (0.266)	Data 0.413 (0.203)	Loss 2.6166 (2.6189)	Prec@1 37.500 (36.980)	Prec@5 66.797 (66.856)
Epoch: [66][2160/7045]	Time 0.102 (0.265)	Data 0.003 (0.202)	Loss 2.6418 (2.6187)	Prec@1 39.844 (36.985)	Prec@5 68.359 (66.856)
Epoch: [66][2170/7045]	Time 0.242 (0.266)	Data 0.191 (0.202)	Loss 2.6503 (2.6187)	Prec@1 36.719 (36.991)	Prec@5 67.188 (66.858)
Epoch: [66][2180/7045]	Time 0.142 (0.265)	Data 0.091 (0.202)	Loss 2.6484 (2.6186)	Prec@1 34.766 (36.987)	Prec@5 65.234 (66.858)
Epoch: [66][2190/7045]	Time 0.206 (0.265)	Data 0.144 (0.202)	Loss 2.6707 (2.6187)	Prec@1 37.891 (36.990)	Prec@5 66.016 (66.856)
Epoch: [66][2200/7045]	Time 0.109 (0.265)	Data 0.057 (0.202)	Loss 2.4733 (2.6186)	Prec@1 39.844 (36.994)	Prec@5 69.531 (66.859)
Epoch: [66][2210/7045]	Time 0.114 (0.265)	Data 0.053 (0.202)	Loss 2.8264 (2.6188)	Prec@1 32.812 (36.989)	Prec@5 62.109 (66.851)
Epoch: [66][2220/7045]	Time 0.446 (0.265)	Data 0.395 (0.202)	Loss 2.6851 (2.6187)	Prec@1 27.344 (36.987)	Prec@5 65.625 (66.854)
Epoch: [66][2230/7045]	Time 0.116 (0.265)	Data 0.065 (0.202)	Loss 2.5126 (2.6188)	Prec@1 39.453 (36.982)	Prec@5 66.797 (66.847)
Epoch: [66][2240/7045]	Time 1.640 (0.265)	Data 1.588 (0.202)	Loss 2.7263 (2.6190)	Prec@1 34.766 (36.979)	Prec@5 64.062 (66.842)
Epoch: [66][2250/7045]	Time 0.102 (0.265)	Data 0.001 (0.202)	Loss 2.4715 (2.6191)	Prec@1 40.625 (36.978)	Prec@5 67.188 (66.835)
Epoch: [66][2260/7045]	Time 0.892 (0.265)	Data 0.841 (0.202)	Loss 2.6316 (2.6193)	Prec@1 36.719 (36.971)	Prec@5 66.406 (66.831)
Epoch: [66][2270/7045]	Time 0.102 (0.265)	Data 0.048 (0.202)	Loss 2.5277 (2.6190)	Prec@1 40.625 (36.979)	Prec@5 66.406 (66.833)
Epoch: [66][2280/7045]	Time 0.483 (0.265)	Data 0.431 (0.202)	Loss 2.7766 (2.6191)	Prec@1 36.719 (36.979)	Prec@5 61.328 (66.830)
Epoch: [66][2290/7045]	Time 0.151 (0.265)	Data 0.099 (0.202)	Loss 2.6620 (2.6192)	Prec@1 35.547 (36.978)	Prec@5 66.016 (66.831)
Epoch: [66][2300/7045]	Time 0.152 (0.265)	Data 0.101 (0.202)	Loss 2.6973 (2.6194)	Prec@1 37.891 (36.972)	Prec@5 62.891 (66.830)
Epoch: [66][2310/7045]	Time 0.257 (0.265)	Data 0.206 (0.202)	Loss 2.6670 (2.6193)	Prec@1 37.500 (36.975)	Prec@5 66.016 (66.832)
Epoch: [66][2320/7045]	Time 0.109 (0.265)	Data 0.007 (0.202)	Loss 2.6918 (2.6193)	Prec@1 30.469 (36.967)	Prec@5 65.625 (66.836)
Epoch: [66][2330/7045]	Time 0.481 (0.265)	Data 0.431 (0.202)	Loss 2.6632 (2.6192)	Prec@1 41.016 (36.968)	Prec@5 65.234 (66.837)
Epoch: [66][2340/7045]	Time 0.205 (0.265)	Data 0.147 (0.202)	Loss 2.7734 (2.6194)	Prec@1 34.375 (36.967)	Prec@5 63.281 (66.835)
Epoch: [66][2350/7045]	Time 0.553 (0.265)	Data 0.502 (0.202)	Loss 2.6884 (2.6194)	Prec@1 38.281 (36.969)	Prec@5 62.109 (66.832)
Epoch: [66][2360/7045]	Time 0.286 (0.265)	Data 0.230 (0.202)	Loss 2.5599 (2.6198)	Prec@1 37.891 (36.969)	Prec@5 67.188 (66.824)
Epoch: [66][2370/7045]	Time 0.471 (0.265)	Data 0.420 (0.202)	Loss 2.6114 (2.6199)	Prec@1 36.328 (36.965)	Prec@5 67.969 (66.824)
Epoch: [66][2380/7045]	Time 0.108 (0.265)	Data 0.005 (0.202)	Loss 2.8743 (2.6199)	Prec@1 35.547 (36.964)	Prec@5 60.547 (66.821)
Epoch: [66][2390/7045]	Time 0.656 (0.265)	Data 0.606 (0.202)	Loss 2.6482 (2.6200)	Prec@1 35.547 (36.961)	Prec@5 64.453 (66.816)
Epoch: [66][2400/7045]	Time 0.129 (0.265)	Data 0.070 (0.202)	Loss 2.8030 (2.6198)	Prec@1 33.594 (36.960)	Prec@5 63.672 (66.818)
Epoch: [66][2410/7045]	Time 0.510 (0.265)	Data 0.460 (0.202)	Loss 2.5172 (2.6200)	Prec@1 38.672 (36.957)	Prec@5 69.922 (66.817)
Epoch: [66][2420/7045]	Time 0.103 (0.265)	Data 0.050 (0.202)	Loss 2.6218 (2.6200)	Prec@1 32.812 (36.954)	Prec@5 64.453 (66.813)
Epoch: [66][2430/7045]	Time 0.768 (0.265)	Data 0.718 (0.202)	Loss 2.4142 (2.6201)	Prec@1 41.016 (36.956)	Prec@5 71.094 (66.817)
Epoch: [66][2440/7045]	Time 0.102 (0.265)	Data 0.001 (0.202)	Loss 2.6378 (2.6201)	Prec@1 37.109 (36.954)	Prec@5 63.281 (66.815)
Epoch: [66][2450/7045]	Time 0.797 (0.265)	Data 0.746 (0.202)	Loss 2.5373 (2.6199)	Prec@1 41.406 (36.960)	Prec@5 69.922 (66.820)
Epoch: [66][2460/7045]	Time 0.135 (0.265)	Data 0.083 (0.201)	Loss 2.5661 (2.6199)	Prec@1 34.375 (36.963)	Prec@5 70.312 (66.826)
Epoch: [66][2470/7045]	Time 0.552 (0.265)	Data 0.500 (0.202)	Loss 2.2904 (2.6197)	Prec@1 44.141 (36.964)	Prec@5 75.391 (66.828)
Epoch: [66][2480/7045]	Time 0.121 (0.265)	Data 0.070 (0.202)	Loss 2.6646 (2.6196)	Prec@1 37.891 (36.967)	Prec@5 66.016 (66.832)
Epoch: [66][2490/7045]	Time 0.398 (0.265)	Data 0.348 (0.202)	Loss 2.6502 (2.6196)	Prec@1 32.812 (36.965)	Prec@5 66.016 (66.829)
Epoch: [66][2500/7045]	Time 0.226 (0.265)	Data 0.175 (0.201)	Loss 2.7176 (2.6198)	Prec@1 33.984 (36.960)	Prec@5 64.453 (66.826)
Epoch: [66][2510/7045]	Time 0.370 (0.265)	Data 0.319 (0.201)	Loss 2.6564 (2.6201)	Prec@1 34.766 (36.954)	Prec@5 65.234 (66.815)
Epoch: [66][2520/7045]	Time 0.350 (0.265)	Data 0.299 (0.201)	Loss 2.4244 (2.6202)	Prec@1 40.625 (36.958)	Prec@5 72.266 (66.813)
Epoch: [66][2530/7045]	Time 0.198 (0.265)	Data 0.147 (0.201)	Loss 2.7198 (2.6202)	Prec@1 33.984 (36.956)	Prec@5 62.500 (66.811)
Epoch: [66][2540/7045]	Time 0.362 (0.265)	Data 0.311 (0.201)	Loss 2.5765 (2.6204)	Prec@1 39.062 (36.954)	Prec@5 67.188 (66.807)
Epoch: [66][2550/7045]	Time 0.122 (0.265)	Data 0.070 (0.201)	Loss 2.7377 (2.6204)	Prec@1 35.156 (36.953)	Prec@5 64.844 (66.808)
Epoch: [66][2560/7045]	Time 0.379 (0.265)	Data 0.327 (0.201)	Loss 3.0743 (2.6206)	Prec@1 28.516 (36.946)	Prec@5 56.641 (66.804)
Epoch: [66][2570/7045]	Time 0.304 (0.265)	Data 0.247 (0.202)	Loss 2.5484 (2.6207)	Prec@1 39.062 (36.944)	Prec@5 70.703 (66.807)
Epoch: [66][2580/7045]	Time 0.142 (0.265)	Data 0.090 (0.202)	Loss 2.6216 (2.6208)	Prec@1 39.453 (36.946)	Prec@5 69.141 (66.808)
Epoch: [66][2590/7045]	Time 0.221 (0.265)	Data 0.170 (0.202)	Loss 2.5647 (2.6208)	Prec@1 37.891 (36.946)	Prec@5 67.578 (66.806)
Epoch: [66][2600/7045]	Time 0.102 (0.265)	Data 0.006 (0.202)	Loss 2.5567 (2.6208)	Prec@1 39.062 (36.948)	Prec@5 72.656 (66.810)
Epoch: [66][2610/7045]	Time 0.107 (0.265)	Data 0.009 (0.202)	Loss 2.4825 (2.6207)	Prec@1 38.281 (36.953)	Prec@5 72.266 (66.813)
Epoch: [66][2620/7045]	Time 0.109 (0.265)	Data 0.058 (0.201)	Loss 2.5466 (2.6207)	Prec@1 41.016 (36.956)	Prec@5 68.359 (66.813)
Epoch: [66][2630/7045]	Time 0.212 (0.265)	Data 0.154 (0.201)	Loss 2.3261 (2.6205)	Prec@1 42.969 (36.960)	Prec@5 69.922 (66.816)
Epoch: [66][2640/7045]	Time 0.104 (0.265)	Data 0.052 (0.201)	Loss 2.5155 (2.6205)	Prec@1 39.844 (36.961)	Prec@5 65.625 (66.815)
Epoch: [66][2650/7045]	Time 0.419 (0.265)	Data 0.358 (0.202)	Loss 2.6675 (2.6205)	Prec@1 37.891 (36.963)	Prec@5 64.453 (66.812)
Epoch: [66][2660/7045]	Time 0.100 (0.265)	Data 0.001 (0.202)	Loss 2.6102 (2.6204)	Prec@1 36.328 (36.964)	Prec@5 68.359 (66.814)
Epoch: [66][2670/7045]	Time 0.253 (0.265)	Data 0.201 (0.202)	Loss 2.4817 (2.6203)	Prec@1 41.406 (36.970)	Prec@5 69.141 (66.818)
Epoch: [66][2680/7045]	Time 0.102 (0.265)	Data 0.001 (0.201)	Loss 2.6668 (2.6203)	Prec@1 35.547 (36.971)	Prec@5 66.406 (66.816)
Epoch: [66][2690/7045]	Time 0.108 (0.265)	Data 0.005 (0.201)	Loss 2.6815 (2.6205)	Prec@1 36.719 (36.971)	Prec@5 66.406 (66.811)
Epoch: [66][2700/7045]	Time 0.102 (0.265)	Data 0.001 (0.201)	Loss 2.6726 (2.6203)	Prec@1 35.938 (36.972)	Prec@5 64.062 (66.813)
Epoch: [66][2710/7045]	Time 0.107 (0.265)	Data 0.005 (0.201)	Loss 2.4045 (2.6202)	Prec@1 41.016 (36.972)	Prec@5 69.531 (66.814)
Epoch: [66][2720/7045]	Time 0.104 (0.264)	Data 0.052 (0.201)	Loss 2.5886 (2.6205)	Prec@1 38.281 (36.962)	Prec@5 67.578 (66.806)
Epoch: [66][2730/7045]	Time 0.151 (0.265)	Data 0.099 (0.201)	Loss 2.4430 (2.6203)	Prec@1 39.844 (36.965)	Prec@5 66.797 (66.808)
Epoch: [66][2740/7045]	Time 3.336 (0.266)	Data 3.282 (0.202)	Loss 2.6981 (2.6203)	Prec@1 33.203 (36.964)	Prec@5 65.234 (66.808)
Epoch: [66][2750/7045]	Time 0.112 (0.265)	Data 0.060 (0.202)	Loss 2.8030 (2.6203)	Prec@1 37.500 (36.968)	Prec@5 60.938 (66.808)
Epoch: [66][2760/7045]	Time 0.483 (0.266)	Data 0.425 (0.202)	Loss 2.3166 (2.6200)	Prec@1 42.188 (36.973)	Prec@5 72.266 (66.813)
Epoch: [66][2770/7045]	Time 0.164 (0.265)	Data 0.112 (0.202)	Loss 2.5332 (2.6200)	Prec@1 39.844 (36.973)	Prec@5 65.625 (66.809)
Epoch: [66][2780/7045]	Time 0.150 (0.265)	Data 0.098 (0.202)	Loss 2.5689 (2.6200)	Prec@1 39.453 (36.971)	Prec@5 67.969 (66.810)
Epoch: [66][2790/7045]	Time 0.101 (0.265)	Data 0.008 (0.202)	Loss 2.6637 (2.6199)	Prec@1 31.250 (36.969)	Prec@5 66.406 (66.815)
Epoch: [66][2800/7045]	Time 0.410 (0.265)	Data 0.358 (0.202)	Loss 2.5453 (2.6200)	Prec@1 37.109 (36.969)	Prec@5 68.359 (66.811)
Epoch: [66][2810/7045]	Time 0.103 (0.266)	Data 0.001 (0.202)	Loss 2.7442 (2.6201)	Prec@1 32.812 (36.971)	Prec@5 62.891 (66.810)
Epoch: [66][2820/7045]	Time 0.409 (0.266)	Data 0.358 (0.202)	Loss 2.5357 (2.6200)	Prec@1 38.281 (36.972)	Prec@5 69.922 (66.810)
Epoch: [66][2830/7045]	Time 0.431 (0.266)	Data 0.379 (0.202)	Loss 2.5622 (2.6200)	Prec@1 41.406 (36.974)	Prec@5 66.406 (66.811)
Epoch: [66][2840/7045]	Time 0.222 (0.266)	Data 0.163 (0.202)	Loss 2.7048 (2.6200)	Prec@1 35.156 (36.975)	Prec@5 67.188 (66.813)
Epoch: [66][2850/7045]	Time 0.259 (0.266)	Data 0.207 (0.202)	Loss 2.5885 (2.6199)	Prec@1 39.453 (36.976)	Prec@5 66.406 (66.812)
Epoch: [66][2860/7045]	Time 0.197 (0.266)	Data 0.147 (0.202)	Loss 2.4738 (2.6201)	Prec@1 40.625 (36.976)	Prec@5 71.094 (66.809)
Epoch: [66][2870/7045]	Time 0.101 (0.266)	Data 0.001 (0.202)	Loss 2.7593 (2.6203)	Prec@1 35.547 (36.975)	Prec@5 67.188 (66.806)
Epoch: [66][2880/7045]	Time 1.332 (0.266)	Data 1.282 (0.202)	Loss 2.6370 (2.6201)	Prec@1 38.281 (36.975)	Prec@5 67.578 (66.808)
Epoch: [66][2890/7045]	Time 0.387 (0.266)	Data 0.335 (0.202)	Loss 2.8558 (2.6202)	Prec@1 32.422 (36.971)	Prec@5 62.109 (66.802)
Epoch: [66][2900/7045]	Time 0.102 (0.266)	Data 0.001 (0.202)	Loss 2.5809 (2.6203)	Prec@1 37.500 (36.969)	Prec@5 69.922 (66.801)
Epoch: [66][2910/7045]	Time 0.418 (0.266)	Data 0.367 (0.202)	Loss 2.6101 (2.6202)	Prec@1 38.672 (36.974)	Prec@5 67.188 (66.804)
Epoch: [66][2920/7045]	Time 0.111 (0.266)	Data 0.059 (0.202)	Loss 2.5971 (2.6203)	Prec@1 37.500 (36.972)	Prec@5 67.188 (66.805)
Epoch: [66][2930/7045]	Time 0.531 (0.266)	Data 0.477 (0.202)	Loss 2.5103 (2.6202)	Prec@1 40.625 (36.977)	Prec@5 70.703 (66.807)
Epoch: [66][2940/7045]	Time 0.102 (0.266)	Data 0.002 (0.202)	Loss 2.7023 (2.6201)	Prec@1 39.062 (36.979)	Prec@5 65.625 (66.805)
Epoch: [66][2950/7045]	Time 0.512 (0.266)	Data 0.460 (0.202)	Loss 2.5683 (2.6203)	Prec@1 38.672 (36.978)	Prec@5 68.750 (66.802)
Epoch: [66][2960/7045]	Time 0.335 (0.266)	Data 0.284 (0.202)	Loss 2.5301 (2.6203)	Prec@1 42.188 (36.980)	Prec@5 70.312 (66.800)
Epoch: [66][2970/7045]	Time 0.380 (0.265)	Data 0.328 (0.202)	Loss 2.6232 (2.6201)	Prec@1 34.766 (36.981)	Prec@5 64.844 (66.805)
Epoch: [66][2980/7045]	Time 0.372 (0.265)	Data 0.322 (0.202)	Loss 2.4367 (2.6200)	Prec@1 39.844 (36.979)	Prec@5 68.750 (66.805)
Epoch: [66][2990/7045]	Time 0.369 (0.265)	Data 0.316 (0.202)	Loss 2.6387 (2.6200)	Prec@1 39.453 (36.980)	Prec@5 64.844 (66.806)
Epoch: [66][3000/7045]	Time 0.108 (0.265)	Data 0.050 (0.202)	Loss 2.5567 (2.6200)	Prec@1 38.281 (36.982)	Prec@5 71.484 (66.806)
Epoch: [66][3010/7045]	Time 0.341 (0.265)	Data 0.290 (0.202)	Loss 2.4631 (2.6201)	Prec@1 41.797 (36.980)	Prec@5 70.703 (66.804)
Epoch: [66][3020/7045]	Time 0.461 (0.265)	Data 0.409 (0.202)	Loss 2.9320 (2.6200)	Prec@1 32.422 (36.981)	Prec@5 60.938 (66.805)
Epoch: [66][3030/7045]	Time 0.431 (0.265)	Data 0.380 (0.202)	Loss 2.4617 (2.6198)	Prec@1 44.141 (36.989)	Prec@5 68.359 (66.807)
Epoch: [66][3040/7045]	Time 0.397 (0.266)	Data 0.346 (0.202)	Loss 2.7538 (2.6197)	Prec@1 35.156 (36.994)	Prec@5 60.547 (66.809)
Epoch: [66][3050/7045]	Time 0.111 (0.265)	Data 0.060 (0.202)	Loss 2.5891 (2.6199)	Prec@1 41.016 (36.995)	Prec@5 68.359 (66.805)
Epoch: [66][3060/7045]	Time 0.255 (0.265)	Data 0.203 (0.202)	Loss 2.6492 (2.6200)	Prec@1 31.250 (36.991)	Prec@5 65.234 (66.804)
Epoch: [66][3070/7045]	Time 0.193 (0.265)	Data 0.142 (0.202)	Loss 2.8376 (2.6196)	Prec@1 36.719 (37.001)	Prec@5 63.672 (66.814)
Epoch: [66][3080/7045]	Time 0.222 (0.265)	Data 0.171 (0.202)	Loss 2.6152 (2.6197)	Prec@1 39.062 (37.004)	Prec@5 64.062 (66.808)
Epoch: [66][3090/7045]	Time 0.210 (0.265)	Data 0.158 (0.202)	Loss 2.6743 (2.6197)	Prec@1 35.547 (37.005)	Prec@5 64.844 (66.805)
Epoch: [66][3100/7045]	Time 0.110 (0.265)	Data 0.057 (0.201)	Loss 2.5958 (2.6198)	Prec@1 38.281 (37.001)	Prec@5 66.016 (66.803)
Epoch: [66][3110/7045]	Time 0.194 (0.265)	Data 0.142 (0.201)	Loss 2.5882 (2.6197)	Prec@1 35.938 (37.003)	Prec@5 67.188 (66.804)
Epoch: [66][3120/7045]	Time 0.198 (0.265)	Data 0.147 (0.202)	Loss 2.7199 (2.6201)	Prec@1 33.203 (36.997)	Prec@5 66.016 (66.798)
Epoch: [66][3130/7045]	Time 0.102 (0.265)	Data 0.005 (0.201)	Loss 2.5414 (2.6202)	Prec@1 35.938 (36.995)	Prec@5 69.141 (66.795)
Epoch: [66][3140/7045]	Time 0.108 (0.265)	Data 0.056 (0.201)	Loss 2.5072 (2.6201)	Prec@1 36.328 (36.994)	Prec@5 68.359 (66.796)
Epoch: [66][3150/7045]	Time 0.107 (0.265)	Data 0.055 (0.201)	Loss 2.6378 (2.6201)	Prec@1 35.547 (36.992)	Prec@5 68.750 (66.795)
Epoch: [66][3160/7045]	Time 0.211 (0.265)	Data 0.159 (0.201)	Loss 2.5686 (2.6202)	Prec@1 38.281 (36.995)	Prec@5 65.234 (66.794)
Epoch: [66][3170/7045]	Time 0.103 (0.265)	Data 0.001 (0.201)	Loss 2.6715 (2.6204)	Prec@1 39.062 (36.995)	Prec@5 69.141 (66.793)
Epoch: [66][3180/7045]	Time 0.200 (0.265)	Data 0.148 (0.201)	Loss 2.4581 (2.6201)	Prec@1 38.672 (37.000)	Prec@5 70.312 (66.800)
Epoch: [66][3190/7045]	Time 0.110 (0.265)	Data 0.058 (0.201)	Loss 2.5679 (2.6201)	Prec@1 40.234 (37.002)	Prec@5 67.969 (66.801)
Epoch: [66][3200/7045]	Time 0.181 (0.265)	Data 0.123 (0.201)	Loss 2.7573 (2.6200)	Prec@1 33.984 (37.008)	Prec@5 60.938 (66.799)
Epoch: [66][3210/7045]	Time 0.102 (0.265)	Data 0.046 (0.201)	Loss 2.3767 (2.6197)	Prec@1 41.797 (37.016)	Prec@5 71.094 (66.806)
Epoch: [66][3220/7045]	Time 0.252 (0.265)	Data 0.201 (0.201)	Loss 2.5912 (2.6197)	Prec@1 37.500 (37.016)	Prec@5 66.797 (66.807)
Epoch: [66][3230/7045]	Time 0.162 (0.265)	Data 0.110 (0.201)	Loss 2.8984 (2.6199)	Prec@1 29.297 (37.014)	Prec@5 60.938 (66.805)
Epoch: [66][3240/7045]	Time 0.329 (0.265)	Data 0.271 (0.201)	Loss 2.5416 (2.6200)	Prec@1 40.234 (37.015)	Prec@5 67.188 (66.802)
Epoch: [66][3250/7045]	Time 0.316 (0.265)	Data 0.257 (0.201)	Loss 2.5826 (2.6199)	Prec@1 36.719 (37.015)	Prec@5 67.188 (66.804)
Epoch: [66][3260/7045]	Time 0.191 (0.265)	Data 0.140 (0.201)	Loss 2.4425 (2.6197)	Prec@1 38.281 (37.019)	Prec@5 69.531 (66.807)
Epoch: [66][3270/7045]	Time 0.101 (0.265)	Data 0.047 (0.201)	Loss 2.5272 (2.6199)	Prec@1 37.500 (37.015)	Prec@5 67.188 (66.805)
Epoch: [66][3280/7045]	Time 0.107 (0.265)	Data 0.055 (0.201)	Loss 2.6319 (2.6199)	Prec@1 35.156 (37.014)	Prec@5 67.969 (66.807)
Epoch: [66][3290/7045]	Time 0.429 (0.265)	Data 0.378 (0.201)	Loss 2.6070 (2.6198)	Prec@1 40.234 (37.015)	Prec@5 69.531 (66.810)
Epoch: [66][3300/7045]	Time 0.110 (0.264)	Data 0.058 (0.201)	Loss 2.3728 (2.6195)	Prec@1 41.406 (37.023)	Prec@5 71.094 (66.814)
Epoch: [66][3310/7045]	Time 0.504 (0.265)	Data 0.452 (0.201)	Loss 2.5768 (2.6195)	Prec@1 37.891 (37.021)	Prec@5 68.359 (66.816)
Epoch: [66][3320/7045]	Time 0.126 (0.265)	Data 0.075 (0.201)	Loss 2.7148 (2.6196)	Prec@1 35.547 (37.020)	Prec@5 64.062 (66.815)
Epoch: [66][3330/7045]	Time 0.355 (0.265)	Data 0.303 (0.201)	Loss 2.7283 (2.6196)	Prec@1 34.375 (37.017)	Prec@5 66.016 (66.814)
Epoch: [66][3340/7045]	Time 0.156 (0.265)	Data 0.105 (0.201)	Loss 2.6992 (2.6195)	Prec@1 36.328 (37.020)	Prec@5 63.281 (66.816)
Epoch: [66][3350/7045]	Time 0.101 (0.265)	Data 0.001 (0.201)	Loss 2.7305 (2.6195)	Prec@1 30.859 (37.018)	Prec@5 63.672 (66.816)
Epoch: [66][3360/7045]	Time 0.410 (0.265)	Data 0.359 (0.201)	Loss 2.7103 (2.6195)	Prec@1 33.594 (37.014)	Prec@5 65.625 (66.819)
Epoch: [66][3370/7045]	Time 0.101 (0.265)	Data 0.001 (0.201)	Loss 2.7121 (2.6195)	Prec@1 38.281 (37.016)	Prec@5 63.281 (66.820)
Epoch: [66][3380/7045]	Time 0.107 (0.265)	Data 0.054 (0.201)	Loss 2.6949 (2.6194)	Prec@1 32.812 (37.018)	Prec@5 66.406 (66.822)
Epoch: [66][3390/7045]	Time 0.150 (0.265)	Data 0.100 (0.202)	Loss 2.6846 (2.6195)	Prec@1 40.234 (37.017)	Prec@5 64.062 (66.821)
Epoch: [66][3400/7045]	Time 0.142 (0.265)	Data 0.090 (0.202)	Loss 2.4848 (2.6196)	Prec@1 37.500 (37.013)	Prec@5 72.266 (66.821)
Epoch: [66][3410/7045]	Time 0.264 (0.265)	Data 0.212 (0.202)	Loss 2.6248 (2.6195)	Prec@1 34.375 (37.013)	Prec@5 64.844 (66.822)
Epoch: [66][3420/7045]	Time 0.298 (0.265)	Data 0.239 (0.202)	Loss 2.5686 (2.6194)	Prec@1 35.547 (37.011)	Prec@5 68.359 (66.824)
Epoch: [66][3430/7045]	Time 0.103 (0.265)	Data 0.001 (0.202)	Loss 2.5093 (2.6193)	Prec@1 37.891 (37.012)	Prec@5 69.531 (66.824)
Epoch: [66][3440/7045]	Time 0.390 (0.265)	Data 0.339 (0.202)	Loss 2.7585 (2.6194)	Prec@1 36.328 (37.011)	Prec@5 64.844 (66.824)
Epoch: [66][3450/7045]	Time 0.282 (0.265)	Data 0.231 (0.202)	Loss 2.8467 (2.6193)	Prec@1 29.688 (37.011)	Prec@5 62.109 (66.826)
Epoch: [66][3460/7045]	Time 0.303 (0.266)	Data 0.244 (0.202)	Loss 2.4854 (2.6192)	Prec@1 37.109 (37.013)	Prec@5 69.141 (66.829)
Epoch: [66][3470/7045]	Time 0.330 (0.265)	Data 0.278 (0.202)	Loss 2.5482 (2.6193)	Prec@1 39.844 (37.013)	Prec@5 67.578 (66.824)
Epoch: [66][3480/7045]	Time 0.102 (0.265)	Data 0.001 (0.202)	Loss 2.6700 (2.6194)	Prec@1 34.375 (37.011)	Prec@5 65.625 (66.822)
Epoch: [66][3490/7045]	Time 0.297 (0.266)	Data 0.246 (0.202)	Loss 2.5669 (2.6193)	Prec@1 37.891 (37.011)	Prec@5 67.969 (66.822)
Epoch: [66][3500/7045]	Time 0.153 (0.265)	Data 0.102 (0.202)	Loss 2.7068 (2.6192)	Prec@1 35.938 (37.012)	Prec@5 66.016 (66.825)
Epoch: [66][3510/7045]	Time 0.188 (0.265)	Data 0.137 (0.202)	Loss 2.3786 (2.6190)	Prec@1 42.578 (37.019)	Prec@5 70.703 (66.828)
Epoch: [66][3520/7045]	Time 0.109 (0.265)	Data 0.056 (0.202)	Loss 2.7119 (2.6193)	Prec@1 37.109 (37.014)	Prec@5 64.062 (66.822)
Epoch: [66][3530/7045]	Time 0.101 (0.266)	Data 0.009 (0.202)	Loss 2.4304 (2.6193)	Prec@1 43.750 (37.016)	Prec@5 66.797 (66.821)
Epoch: [66][3540/7045]	Time 0.164 (0.266)	Data 0.113 (0.202)	Loss 2.5526 (2.6193)	Prec@1 37.891 (37.016)	Prec@5 66.797 (66.818)
Epoch: [66][3550/7045]	Time 0.101 (0.266)	Data 0.004 (0.202)	Loss 2.6532 (2.6193)	Prec@1 35.156 (37.020)	Prec@5 66.016 (66.819)
Epoch: [66][3560/7045]	Time 0.102 (0.266)	Data 0.001 (0.202)	Loss 2.5914 (2.6193)	Prec@1 37.109 (37.018)	Prec@5 67.578 (66.818)
Epoch: [66][3570/7045]	Time 0.102 (0.266)	Data 0.048 (0.202)	Loss 2.6790 (2.6195)	Prec@1 33.203 (37.016)	Prec@5 67.188 (66.815)
Epoch: [66][3580/7045]	Time 0.101 (0.266)	Data 0.047 (0.202)	Loss 2.8135 (2.6195)	Prec@1 34.766 (37.014)	Prec@5 66.016 (66.816)
Epoch: [66][3590/7045]	Time 0.116 (0.266)	Data 0.057 (0.202)	Loss 2.7692 (2.6195)	Prec@1 35.938 (37.013)	Prec@5 62.109 (66.812)
Epoch: [66][3600/7045]	Time 0.102 (0.266)	Data 0.047 (0.202)	Loss 2.6633 (2.6195)	Prec@1 35.547 (37.012)	Prec@5 68.750 (66.810)
Epoch: [66][3610/7045]	Time 0.110 (0.266)	Data 0.057 (0.202)	Loss 2.7403 (2.6195)	Prec@1 34.766 (37.013)	Prec@5 64.062 (66.809)
Epoch: [66][3620/7045]	Time 0.102 (0.266)	Data 0.001 (0.202)	Loss 2.8067 (2.6198)	Prec@1 29.297 (37.008)	Prec@5 64.453 (66.804)
Epoch: [66][3630/7045]	Time 0.234 (0.266)	Data 0.177 (0.202)	Loss 2.4677 (2.6197)	Prec@1 39.453 (37.006)	Prec@5 70.312 (66.809)
Epoch: [66][3640/7045]	Time 0.102 (0.266)	Data 0.050 (0.202)	Loss 2.5969 (2.6196)	Prec@1 38.672 (37.011)	Prec@5 70.703 (66.814)
Epoch: [66][3650/7045]	Time 0.156 (0.266)	Data 0.104 (0.202)	Loss 2.4095 (2.6195)	Prec@1 37.891 (37.017)	Prec@5 70.312 (66.817)
Epoch: [66][3660/7045]	Time 0.101 (0.266)	Data 0.046 (0.202)	Loss 2.4798 (2.6193)	Prec@1 38.672 (37.021)	Prec@5 66.797 (66.821)
Epoch: [66][3670/7045]	Time 1.975 (0.266)	Data 1.923 (0.203)	Loss 2.7540 (2.6197)	Prec@1 34.375 (37.018)	Prec@5 64.844 (66.811)
Epoch: [66][3680/7045]	Time 0.099 (0.266)	Data 0.047 (0.203)	Loss 2.6944 (2.6197)	Prec@1 34.375 (37.015)	Prec@5 67.188 (66.813)
Epoch: [66][3690/7045]	Time 0.230 (0.266)	Data 0.179 (0.203)	Loss 2.6428 (2.6198)	Prec@1 37.891 (37.015)	Prec@5 65.234 (66.810)
Epoch: [66][3700/7045]	Time 0.260 (0.266)	Data 0.200 (0.203)	Loss 2.4827 (2.6197)	Prec@1 38.281 (37.017)	Prec@5 72.656 (66.815)
Epoch: [66][3710/7045]	Time 0.105 (0.266)	Data 0.051 (0.203)	Loss 2.7529 (2.6197)	Prec@1 35.156 (37.016)	Prec@5 65.234 (66.817)
Epoch: [66][3720/7045]	Time 0.347 (0.266)	Data 0.288 (0.203)	Loss 2.6089 (2.6197)	Prec@1 35.156 (37.016)	Prec@5 69.922 (66.817)
Epoch: [66][3730/7045]	Time 0.160 (0.266)	Data 0.108 (0.202)	Loss 2.4604 (2.6194)	Prec@1 39.062 (37.018)	Prec@5 71.875 (66.822)
Epoch: [66][3740/7045]	Time 0.101 (0.266)	Data 0.003 (0.202)	Loss 2.6184 (2.6194)	Prec@1 34.766 (37.015)	Prec@5 66.406 (66.824)
Epoch: [66][3750/7045]	Time 0.549 (0.266)	Data 0.498 (0.203)	Loss 2.5689 (2.6196)	Prec@1 39.453 (37.013)	Prec@5 66.797 (66.820)
Epoch: [66][3760/7045]	Time 0.102 (0.266)	Data 0.001 (0.203)	Loss 2.6778 (2.6197)	Prec@1 36.719 (37.009)	Prec@5 65.234 (66.818)
Epoch: [66][3770/7045]	Time 0.522 (0.266)	Data 0.470 (0.203)	Loss 2.6108 (2.6196)	Prec@1 35.938 (37.008)	Prec@5 66.016 (66.819)
Epoch: [66][3780/7045]	Time 0.102 (0.266)	Data 0.007 (0.203)	Loss 2.5438 (2.6197)	Prec@1 40.625 (37.011)	Prec@5 69.531 (66.821)
Epoch: [66][3790/7045]	Time 0.101 (0.266)	Data 0.001 (0.203)	Loss 2.7604 (2.6197)	Prec@1 33.594 (37.009)	Prec@5 62.891 (66.821)
Epoch: [66][3800/7045]	Time 0.282 (0.266)	Data 0.231 (0.203)	Loss 2.6984 (2.6198)	Prec@1 37.891 (37.005)	Prec@5 64.062 (66.820)
Epoch: [66][3810/7045]	Time 0.519 (0.266)	Data 0.468 (0.203)	Loss 2.8587 (2.6198)	Prec@1 33.984 (37.005)	Prec@5 60.156 (66.819)
Epoch: [66][3820/7045]	Time 0.203 (0.267)	Data 0.146 (0.203)	Loss 2.7236 (2.6199)	Prec@1 34.375 (37.005)	Prec@5 66.797 (66.817)
Epoch: [66][3830/7045]	Time 0.429 (0.267)	Data 0.378 (0.203)	Loss 2.6499 (2.6199)	Prec@1 39.844 (37.007)	Prec@5 66.406 (66.818)
Epoch: [66][3840/7045]	Time 0.103 (0.267)	Data 0.007 (0.203)	Loss 2.5709 (2.6200)	Prec@1 38.672 (37.003)	Prec@5 69.531 (66.815)
Epoch: [66][3850/7045]	Time 0.134 (0.267)	Data 0.082 (0.203)	Loss 2.4678 (2.6200)	Prec@1 37.500 (37.003)	Prec@5 68.750 (66.815)
Epoch: [66][3860/7045]	Time 0.102 (0.266)	Data 0.044 (0.203)	Loss 2.6154 (2.6201)	Prec@1 39.062 (37.004)	Prec@5 63.281 (66.813)
Epoch: [66][3870/7045]	Time 0.228 (0.266)	Data 0.177 (0.203)	Loss 2.4362 (2.6200)	Prec@1 42.578 (37.007)	Prec@5 68.359 (66.816)
Epoch: [66][3880/7045]	Time 0.102 (0.266)	Data 0.001 (0.203)	Loss 2.5652 (2.6200)	Prec@1 39.844 (37.007)	Prec@5 67.188 (66.816)
Epoch: [66][3890/7045]	Time 0.629 (0.267)	Data 0.578 (0.204)	Loss 2.2841 (2.6199)	Prec@1 43.359 (37.009)	Prec@5 76.172 (66.819)
Epoch: [66][3900/7045]	Time 0.142 (0.267)	Data 0.090 (0.203)	Loss 2.7459 (2.6200)	Prec@1 33.594 (37.010)	Prec@5 62.891 (66.819)
Epoch: [66][3910/7045]	Time 0.291 (0.267)	Data 0.240 (0.203)	Loss 2.6471 (2.6201)	Prec@1 38.672 (37.010)	Prec@5 66.406 (66.818)
Epoch: [66][3920/7045]	Time 0.483 (0.267)	Data 0.433 (0.204)	Loss 2.5214 (2.6200)	Prec@1 35.938 (37.015)	Prec@5 68.359 (66.818)
Epoch: [66][3930/7045]	Time 0.108 (0.267)	Data 0.001 (0.203)	Loss 2.5698 (2.6199)	Prec@1 39.453 (37.017)	Prec@5 67.969 (66.820)
Epoch: [66][3940/7045]	Time 0.328 (0.267)	Data 0.278 (0.203)	Loss 2.7445 (2.6198)	Prec@1 33.203 (37.018)	Prec@5 63.281 (66.819)
Epoch: [66][3950/7045]	Time 0.101 (0.267)	Data 0.001 (0.203)	Loss 2.3195 (2.6198)	Prec@1 46.875 (37.024)	Prec@5 71.094 (66.821)
Epoch: [66][3960/7045]	Time 0.321 (0.267)	Data 0.268 (0.203)	Loss 2.6643 (2.6197)	Prec@1 36.328 (37.022)	Prec@5 65.234 (66.821)
Epoch: [66][3970/7045]	Time 0.197 (0.267)	Data 0.145 (0.203)	Loss 2.5605 (2.6196)	Prec@1 33.594 (37.023)	Prec@5 69.141 (66.824)
Epoch: [66][3980/7045]	Time 0.496 (0.267)	Data 0.438 (0.203)	Loss 2.4890 (2.6194)	Prec@1 39.062 (37.028)	Prec@5 71.094 (66.827)
Epoch: [66][3990/7045]	Time 0.233 (0.267)	Data 0.182 (0.203)	Loss 2.6780 (2.6194)	Prec@1 37.891 (37.030)	Prec@5 67.188 (66.829)
Epoch: [66][4000/7045]	Time 0.183 (0.267)	Data 0.131 (0.203)	Loss 2.5716 (2.6196)	Prec@1 40.625 (37.025)	Prec@5 66.016 (66.825)
Epoch: [66][4010/7045]	Time 0.198 (0.267)	Data 0.146 (0.203)	Loss 2.7130 (2.6196)	Prec@1 35.938 (37.026)	Prec@5 64.062 (66.826)
Epoch: [66][4020/7045]	Time 0.104 (0.267)	Data 0.051 (0.203)	Loss 2.5618 (2.6196)	Prec@1 37.891 (37.023)	Prec@5 68.359 (66.824)
Epoch: [66][4030/7045]	Time 0.122 (0.266)	Data 0.069 (0.203)	Loss 2.7395 (2.6197)	Prec@1 33.594 (37.022)	Prec@5 63.672 (66.824)
Epoch: [66][4040/7045]	Time 0.102 (0.266)	Data 0.045 (0.203)	Loss 2.5896 (2.6196)	Prec@1 34.375 (37.023)	Prec@5 67.969 (66.827)
Epoch: [66][4050/7045]	Time 0.278 (0.266)	Data 0.226 (0.203)	Loss 2.4797 (2.6195)	Prec@1 39.844 (37.024)	Prec@5 70.703 (66.829)
Epoch: [66][4060/7045]	Time 0.102 (0.266)	Data 0.050 (0.203)	Loss 2.6439 (2.6193)	Prec@1 38.281 (37.027)	Prec@5 67.188 (66.832)
Epoch: [66][4070/7045]	Time 0.196 (0.266)	Data 0.145 (0.203)	Loss 2.7694 (2.6195)	Prec@1 32.422 (37.021)	Prec@5 63.672 (66.828)
Epoch: [66][4080/7045]	Time 0.119 (0.266)	Data 0.067 (0.203)	Loss 2.6687 (2.6194)	Prec@1 37.891 (37.025)	Prec@5 65.625 (66.830)
Epoch: [66][4090/7045]	Time 0.351 (0.266)	Data 0.298 (0.203)	Loss 2.4739 (2.6195)	Prec@1 38.281 (37.023)	Prec@5 70.312 (66.827)
Epoch: [66][4100/7045]	Time 0.160 (0.266)	Data 0.108 (0.203)	Loss 2.4679 (2.6195)	Prec@1 37.109 (37.023)	Prec@5 72.266 (66.825)
Epoch: [66][4110/7045]	Time 0.393 (0.266)	Data 0.342 (0.203)	Loss 2.7557 (2.6198)	Prec@1 34.766 (37.017)	Prec@5 64.062 (66.821)
Epoch: [66][4120/7045]	Time 0.102 (0.266)	Data 0.003 (0.203)	Loss 2.6601 (2.6198)	Prec@1 37.891 (37.021)	Prec@5 64.844 (66.822)
Epoch: [66][4130/7045]	Time 0.110 (0.266)	Data 0.058 (0.203)	Loss 2.7179 (2.6197)	Prec@1 36.328 (37.023)	Prec@5 63.672 (66.826)
Epoch: [66][4140/7045]	Time 0.103 (0.266)	Data 0.006 (0.203)	Loss 2.6250 (2.6196)	Prec@1 40.234 (37.026)	Prec@5 67.188 (66.829)
Epoch: [66][4150/7045]	Time 0.415 (0.266)	Data 0.363 (0.203)	Loss 2.4394 (2.6197)	Prec@1 39.453 (37.024)	Prec@5 67.188 (66.827)
Epoch: [66][4160/7045]	Time 0.108 (0.266)	Data 0.001 (0.203)	Loss 2.6420 (2.6197)	Prec@1 35.156 (37.020)	Prec@5 68.750 (66.826)
Epoch: [66][4170/7045]	Time 0.614 (0.266)	Data 0.556 (0.203)	Loss 2.6057 (2.6197)	Prec@1 35.938 (37.018)	Prec@5 66.016 (66.827)
Epoch: [66][4180/7045]	Time 0.237 (0.266)	Data 0.180 (0.203)	Loss 2.6940 (2.6197)	Prec@1 36.719 (37.020)	Prec@5 64.844 (66.827)
Epoch: [66][4190/7045]	Time 0.368 (0.266)	Data 0.318 (0.203)	Loss 2.4629 (2.6196)	Prec@1 41.406 (37.023)	Prec@5 69.141 (66.830)
Epoch: [66][4200/7045]	Time 0.289 (0.266)	Data 0.238 (0.203)	Loss 2.9273 (2.6196)	Prec@1 30.078 (37.023)	Prec@5 62.500 (66.829)
Epoch: [66][4210/7045]	Time 0.103 (0.266)	Data 0.010 (0.203)	Loss 2.5782 (2.6195)	Prec@1 35.938 (37.025)	Prec@5 67.969 (66.830)
Epoch: [66][4220/7045]	Time 0.200 (0.266)	Data 0.149 (0.203)	Loss 2.7730 (2.6194)	Prec@1 35.938 (37.029)	Prec@5 66.406 (66.831)
Epoch: [66][4230/7045]	Time 0.101 (0.266)	Data 0.048 (0.203)	Loss 2.6254 (2.6193)	Prec@1 37.109 (37.032)	Prec@5 68.359 (66.834)
Epoch: [66][4240/7045]	Time 0.207 (0.266)	Data 0.157 (0.203)	Loss 2.5104 (2.6192)	Prec@1 41.016 (37.034)	Prec@5 69.922 (66.834)
Epoch: [66][4250/7045]	Time 0.139 (0.266)	Data 0.087 (0.203)	Loss 2.5813 (2.6192)	Prec@1 33.984 (37.032)	Prec@5 64.062 (66.832)
Epoch: [66][4260/7045]	Time 0.243 (0.266)	Data 0.191 (0.203)	Loss 2.7695 (2.6192)	Prec@1 33.203 (37.034)	Prec@5 62.109 (66.831)
Epoch: [66][4270/7045]	Time 0.101 (0.266)	Data 0.007 (0.203)	Loss 2.7222 (2.6193)	Prec@1 35.547 (37.031)	Prec@5 64.453 (66.832)
Epoch: [66][4280/7045]	Time 0.144 (0.266)	Data 0.093 (0.203)	Loss 2.7380 (2.6192)	Prec@1 33.594 (37.031)	Prec@5 66.406 (66.835)
Epoch: [66][4290/7045]	Time 0.102 (0.266)	Data 0.005 (0.203)	Loss 2.7832 (2.6192)	Prec@1 32.031 (37.031)	Prec@5 69.141 (66.837)
Epoch: [66][4300/7045]	Time 0.098 (0.266)	Data 0.043 (0.203)	Loss 2.7190 (2.6193)	Prec@1 38.672 (37.029)	Prec@5 66.016 (66.835)
Epoch: [66][4310/7045]	Time 0.198 (0.266)	Data 0.141 (0.203)	Loss 2.6580 (2.6192)	Prec@1 37.500 (37.033)	Prec@5 64.062 (66.838)
Epoch: [66][4320/7045]	Time 0.694 (0.266)	Data 0.643 (0.203)	Loss 2.6537 (2.6192)	Prec@1 30.469 (37.032)	Prec@5 64.453 (66.837)
Epoch: [66][4330/7045]	Time 0.108 (0.266)	Data 0.008 (0.203)	Loss 2.6831 (2.6192)	Prec@1 36.719 (37.031)	Prec@5 62.500 (66.836)
Epoch: [66][4340/7045]	Time 0.103 (0.266)	Data 0.001 (0.203)	Loss 2.3111 (2.6192)	Prec@1 42.188 (37.031)	Prec@5 73.438 (66.837)
Epoch: [66][4350/7045]	Time 0.264 (0.266)	Data 0.204 (0.203)	Loss 2.6144 (2.6192)	Prec@1 35.156 (37.030)	Prec@5 64.844 (66.837)
Epoch: [66][4360/7045]	Time 0.101 (0.266)	Data 0.005 (0.203)	Loss 2.5987 (2.6193)	Prec@1 34.375 (37.030)	Prec@5 66.406 (66.837)
Epoch: [66][4370/7045]	Time 0.291 (0.266)	Data 0.237 (0.203)	Loss 2.6239 (2.6192)	Prec@1 35.938 (37.031)	Prec@5 67.578 (66.837)
Epoch: [66][4380/7045]	Time 0.102 (0.266)	Data 0.001 (0.203)	Loss 2.6444 (2.6193)	Prec@1 39.844 (37.031)	Prec@5 64.062 (66.835)
Epoch: [66][4390/7045]	Time 0.321 (0.266)	Data 0.263 (0.203)	Loss 2.6560 (2.6193)	Prec@1 37.500 (37.032)	Prec@5 67.969 (66.838)
Epoch: [66][4400/7045]	Time 0.105 (0.266)	Data 0.052 (0.203)	Loss 2.4999 (2.6194)	Prec@1 39.844 (37.031)	Prec@5 70.312 (66.836)
Epoch: [66][4410/7045]	Time 0.306 (0.266)	Data 0.255 (0.203)	Loss 2.6196 (2.6193)	Prec@1 40.625 (37.033)	Prec@5 65.625 (66.836)
Epoch: [66][4420/7045]	Time 0.235 (0.266)	Data 0.184 (0.202)	Loss 2.7162 (2.6194)	Prec@1 32.812 (37.034)	Prec@5 64.844 (66.835)
Epoch: [66][4430/7045]	Time 0.305 (0.266)	Data 0.249 (0.203)	Loss 2.5199 (2.6193)	Prec@1 37.500 (37.034)	Prec@5 67.969 (66.837)
Epoch: [66][4440/7045]	Time 0.255 (0.266)	Data 0.203 (0.203)	Loss 2.4711 (2.6191)	Prec@1 39.062 (37.036)	Prec@5 69.141 (66.841)
Epoch: [66][4450/7045]	Time 0.334 (0.266)	Data 0.275 (0.203)	Loss 2.7728 (2.6190)	Prec@1 33.203 (37.035)	Prec@5 67.578 (66.843)
Epoch: [66][4460/7045]	Time 0.487 (0.266)	Data 0.436 (0.203)	Loss 2.5255 (2.6189)	Prec@1 41.797 (37.037)	Prec@5 69.531 (66.846)
Epoch: [66][4470/7045]	Time 0.325 (0.266)	Data 0.273 (0.202)	Loss 2.9251 (2.6191)	Prec@1 37.500 (37.037)	Prec@5 63.672 (66.842)
Epoch: [66][4480/7045]	Time 0.445 (0.266)	Data 0.393 (0.202)	Loss 2.5802 (2.6189)	Prec@1 34.766 (37.038)	Prec@5 68.359 (66.843)
Epoch: [66][4490/7045]	Time 0.109 (0.266)	Data 0.001 (0.202)	Loss 2.5481 (2.6189)	Prec@1 35.156 (37.041)	Prec@5 69.141 (66.843)
Epoch: [66][4500/7045]	Time 0.362 (0.266)	Data 0.311 (0.202)	Loss 2.6323 (2.6189)	Prec@1 35.156 (37.043)	Prec@5 69.531 (66.847)
Epoch: [66][4510/7045]	Time 0.102 (0.266)	Data 0.049 (0.202)	Loss 2.6717 (2.6189)	Prec@1 33.594 (37.042)	Prec@5 62.500 (66.848)
Epoch: [66][4520/7045]	Time 0.101 (0.266)	Data 0.001 (0.202)	Loss 2.6608 (2.6188)	Prec@1 36.328 (37.044)	Prec@5 66.406 (66.850)
Epoch: [66][4530/7045]	Time 0.102 (0.266)	Data 0.050 (0.202)	Loss 2.7630 (2.6189)	Prec@1 33.594 (37.040)	Prec@5 62.500 (66.849)
Epoch: [66][4540/7045]	Time 0.606 (0.266)	Data 0.554 (0.202)	Loss 2.5312 (2.6189)	Prec@1 39.844 (37.040)	Prec@5 67.578 (66.848)
Epoch: [66][4550/7045]	Time 0.110 (0.266)	Data 0.001 (0.202)	Loss 2.3738 (2.6187)	Prec@1 41.406 (37.042)	Prec@5 71.484 (66.853)
Epoch: [66][4560/7045]	Time 0.602 (0.266)	Data 0.545 (0.202)	Loss 2.4322 (2.6186)	Prec@1 42.969 (37.043)	Prec@5 71.094 (66.854)
Epoch: [66][4570/7045]	Time 0.112 (0.265)	Data 0.060 (0.202)	Loss 2.4444 (2.6185)	Prec@1 39.453 (37.047)	Prec@5 69.531 (66.857)
Epoch: [66][4580/7045]	Time 0.139 (0.265)	Data 0.087 (0.202)	Loss 2.6712 (2.6185)	Prec@1 33.203 (37.045)	Prec@5 60.156 (66.856)
Epoch: [66][4590/7045]	Time 0.102 (0.265)	Data 0.048 (0.202)	Loss 2.7115 (2.6187)	Prec@1 32.812 (37.040)	Prec@5 64.453 (66.853)
Epoch: [66][4600/7045]	Time 0.101 (0.265)	Data 0.001 (0.202)	Loss 2.4595 (2.6186)	Prec@1 40.234 (37.041)	Prec@5 71.484 (66.856)
Epoch: [66][4610/7045]	Time 0.103 (0.265)	Data 0.051 (0.202)	Loss 2.5928 (2.6188)	Prec@1 37.891 (37.039)	Prec@5 69.531 (66.853)
Epoch: [66][4620/7045]	Time 0.253 (0.265)	Data 0.201 (0.202)	Loss 2.7569 (2.6188)	Prec@1 33.203 (37.040)	Prec@5 63.281 (66.852)
Epoch: [66][4630/7045]	Time 0.301 (0.265)	Data 0.249 (0.202)	Loss 2.6834 (2.6187)	Prec@1 35.547 (37.043)	Prec@5 62.500 (66.853)
Epoch: [66][4640/7045]	Time 0.306 (0.266)	Data 0.255 (0.202)	Loss 2.7431 (2.6187)	Prec@1 32.422 (37.044)	Prec@5 66.797 (66.855)
Epoch: [66][4650/7045]	Time 0.505 (0.266)	Data 0.455 (0.202)	Loss 2.6285 (2.6187)	Prec@1 38.672 (37.044)	Prec@5 66.797 (66.856)
Epoch: [66][4660/7045]	Time 0.220 (0.266)	Data 0.169 (0.202)	Loss 2.8125 (2.6188)	Prec@1 36.719 (37.043)	Prec@5 65.234 (66.857)
Epoch: [66][4670/7045]	Time 0.672 (0.266)	Data 0.621 (0.202)	Loss 2.6041 (2.6187)	Prec@1 36.328 (37.041)	Prec@5 70.312 (66.858)
Epoch: [66][4680/7045]	Time 0.146 (0.266)	Data 0.095 (0.202)	Loss 2.6182 (2.6185)	Prec@1 38.672 (37.043)	Prec@5 65.234 (66.860)
Epoch: [66][4690/7045]	Time 0.589 (0.266)	Data 0.537 (0.202)	Loss 2.5531 (2.6186)	Prec@1 37.500 (37.042)	Prec@5 70.312 (66.860)
Epoch: [66][4700/7045]	Time 0.110 (0.265)	Data 0.006 (0.202)	Loss 2.6516 (2.6186)	Prec@1 35.156 (37.042)	Prec@5 67.969 (66.860)
Epoch: [66][4710/7045]	Time 2.314 (0.266)	Data 2.263 (0.203)	Loss 2.6965 (2.6187)	Prec@1 37.891 (37.041)	Prec@5 65.625 (66.859)
Epoch: [66][4720/7045]	Time 0.101 (0.266)	Data 0.006 (0.202)	Loss 2.6756 (2.6188)	Prec@1 37.891 (37.043)	Prec@5 66.016 (66.858)
Epoch: [66][4730/7045]	Time 0.103 (0.266)	Data 0.051 (0.202)	Loss 2.6366 (2.6189)	Prec@1 35.547 (37.042)	Prec@5 64.844 (66.854)
Epoch: [66][4740/7045]	Time 0.101 (0.266)	Data 0.001 (0.202)	Loss 2.5585 (2.6188)	Prec@1 39.844 (37.044)	Prec@5 66.406 (66.854)
Epoch: [66][4750/7045]	Time 0.146 (0.266)	Data 0.094 (0.202)	Loss 2.6484 (2.6188)	Prec@1 37.109 (37.043)	Prec@5 69.531 (66.854)
Epoch: [66][4760/7045]	Time 0.186 (0.266)	Data 0.133 (0.202)	Loss 2.6106 (2.6187)	Prec@1 35.156 (37.044)	Prec@5 68.359 (66.856)
Epoch: [66][4770/7045]	Time 0.174 (0.265)	Data 0.122 (0.202)	Loss 2.5335 (2.6187)	Prec@1 38.281 (37.047)	Prec@5 68.359 (66.859)
Epoch: [66][4780/7045]	Time 0.234 (0.265)	Data 0.181 (0.202)	Loss 2.5765 (2.6186)	Prec@1 40.234 (37.050)	Prec@5 67.969 (66.860)
Epoch: [66][4790/7045]	Time 0.229 (0.265)	Data 0.178 (0.202)	Loss 2.6486 (2.6187)	Prec@1 40.625 (37.047)	Prec@5 67.188 (66.856)
Epoch: [66][4800/7045]	Time 0.667 (0.265)	Data 0.616 (0.202)	Loss 2.8319 (2.6188)	Prec@1 33.594 (37.047)	Prec@5 63.672 (66.854)
Epoch: [66][4810/7045]	Time 0.102 (0.266)	Data 0.004 (0.202)	Loss 2.9664 (2.6188)	Prec@1 31.250 (37.048)	Prec@5 61.719 (66.853)
Epoch: [66][4820/7045]	Time 0.494 (0.266)	Data 0.443 (0.202)	Loss 2.5031 (2.6188)	Prec@1 38.672 (37.045)	Prec@5 68.359 (66.854)
Epoch: [66][4830/7045]	Time 0.121 (0.265)	Data 0.069 (0.202)	Loss 2.6679 (2.6189)	Prec@1 39.844 (37.042)	Prec@5 65.625 (66.852)
Epoch: [66][4840/7045]	Time 0.185 (0.265)	Data 0.133 (0.202)	Loss 2.4870 (2.6189)	Prec@1 39.062 (37.042)	Prec@5 67.969 (66.852)
Epoch: [66][4850/7045]	Time 0.171 (0.265)	Data 0.120 (0.202)	Loss 2.6372 (2.6188)	Prec@1 37.109 (37.042)	Prec@5 69.922 (66.854)
Epoch: [66][4860/7045]	Time 0.183 (0.265)	Data 0.126 (0.202)	Loss 2.6905 (2.6189)	Prec@1 41.016 (37.044)	Prec@5 65.234 (66.852)
Epoch: [66][4870/7045]	Time 0.102 (0.265)	Data 0.001 (0.202)	Loss 2.7018 (2.6189)	Prec@1 31.641 (37.043)	Prec@5 69.141 (66.853)
Epoch: [66][4880/7045]	Time 0.295 (0.265)	Data 0.244 (0.202)	Loss 2.6825 (2.6189)	Prec@1 38.281 (37.041)	Prec@5 61.719 (66.852)
Epoch: [66][4890/7045]	Time 0.211 (0.265)	Data 0.160 (0.202)	Loss 2.5322 (2.6189)	Prec@1 41.797 (37.042)	Prec@5 68.359 (66.852)
Epoch: [66][4900/7045]	Time 0.109 (0.265)	Data 0.057 (0.202)	Loss 2.6893 (2.6190)	Prec@1 38.672 (37.040)	Prec@5 68.359 (66.852)
Epoch: [66][4910/7045]	Time 0.575 (0.265)	Data 0.525 (0.202)	Loss 2.6399 (2.6190)	Prec@1 33.203 (37.038)	Prec@5 66.797 (66.853)
Epoch: [66][4920/7045]	Time 0.102 (0.265)	Data 0.050 (0.202)	Loss 2.7436 (2.6190)	Prec@1 34.766 (37.037)	Prec@5 64.062 (66.854)
Epoch: [66][4930/7045]	Time 0.280 (0.265)	Data 0.224 (0.202)	Loss 2.7899 (2.6189)	Prec@1 35.547 (37.036)	Prec@5 64.062 (66.855)
Epoch: [66][4940/7045]	Time 0.151 (0.265)	Data 0.100 (0.202)	Loss 2.7137 (2.6190)	Prec@1 33.594 (37.035)	Prec@5 62.891 (66.854)
Epoch: [66][4950/7045]	Time 0.104 (0.265)	Data 0.050 (0.202)	Loss 2.6960 (2.6191)	Prec@1 35.938 (37.035)	Prec@5 63.281 (66.852)
Epoch: [66][4960/7045]	Time 0.213 (0.265)	Data 0.162 (0.202)	Loss 2.3494 (2.6190)	Prec@1 39.844 (37.035)	Prec@5 72.266 (66.854)
Epoch: [66][4970/7045]	Time 0.101 (0.265)	Data 0.002 (0.202)	Loss 2.7795 (2.6190)	Prec@1 32.422 (37.035)	Prec@5 63.672 (66.855)
Epoch: [66][4980/7045]	Time 0.369 (0.266)	Data 0.316 (0.203)	Loss 2.7452 (2.6190)	Prec@1 37.500 (37.033)	Prec@5 64.844 (66.856)
Epoch: [66][4990/7045]	Time 0.105 (0.266)	Data 0.051 (0.203)	Loss 2.6000 (2.6190)	Prec@1 37.500 (37.033)	Prec@5 66.016 (66.856)
Epoch: [66][5000/7045]	Time 0.450 (0.266)	Data 0.399 (0.202)	Loss 2.4635 (2.6190)	Prec@1 38.672 (37.033)	Prec@5 70.703 (66.858)
Epoch: [66][5010/7045]	Time 0.102 (0.265)	Data 0.048 (0.202)	Loss 2.4636 (2.6190)	Prec@1 44.922 (37.033)	Prec@5 69.531 (66.859)
Epoch: [66][5020/7045]	Time 0.605 (0.265)	Data 0.549 (0.202)	Loss 2.7494 (2.6191)	Prec@1 37.109 (37.031)	Prec@5 62.109 (66.855)
Epoch: [66][5030/7045]	Time 0.106 (0.265)	Data 0.054 (0.202)	Loss 2.8759 (2.6191)	Prec@1 33.203 (37.030)	Prec@5 60.547 (66.854)
Epoch: [66][5040/7045]	Time 0.692 (0.265)	Data 0.641 (0.202)	Loss 2.5707 (2.6190)	Prec@1 37.109 (37.033)	Prec@5 69.141 (66.856)
Epoch: [66][5050/7045]	Time 0.096 (0.265)	Data 0.001 (0.202)	Loss 2.8184 (2.6191)	Prec@1 32.422 (37.030)	Prec@5 64.453 (66.852)
Epoch: [66][5060/7045]	Time 0.643 (0.266)	Data 0.586 (0.202)	Loss 2.5539 (2.6191)	Prec@1 37.891 (37.031)	Prec@5 66.406 (66.853)
Epoch: [66][5070/7045]	Time 0.102 (0.265)	Data 0.001 (0.202)	Loss 2.5430 (2.6190)	Prec@1 39.453 (37.033)	Prec@5 70.312 (66.854)
Epoch: [66][5080/7045]	Time 0.639 (0.265)	Data 0.586 (0.202)	Loss 2.6081 (2.6191)	Prec@1 39.844 (37.033)	Prec@5 65.234 (66.855)
Epoch: [66][5090/7045]	Time 0.099 (0.265)	Data 0.047 (0.202)	Loss 2.4747 (2.6191)	Prec@1 39.453 (37.031)	Prec@5 71.094 (66.855)
Epoch: [66][5100/7045]	Time 0.478 (0.265)	Data 0.419 (0.202)	Loss 2.6302 (2.6191)	Prec@1 37.500 (37.031)	Prec@5 66.016 (66.856)
Epoch: [66][5110/7045]	Time 0.550 (0.265)	Data 0.499 (0.202)	Loss 2.4458 (2.6192)	Prec@1 37.891 (37.030)	Prec@5 69.922 (66.854)
Epoch: [66][5120/7045]	Time 0.161 (0.265)	Data 0.110 (0.202)	Loss 2.5744 (2.6192)	Prec@1 39.844 (37.029)	Prec@5 64.844 (66.854)
Epoch: [66][5130/7045]	Time 0.747 (0.265)	Data 0.695 (0.202)	Loss 2.7855 (2.6192)	Prec@1 37.500 (37.029)	Prec@5 64.062 (66.854)
Epoch: [66][5140/7045]	Time 0.323 (0.265)	Data 0.272 (0.202)	Loss 2.3507 (2.6191)	Prec@1 42.188 (37.033)	Prec@5 70.703 (66.855)
Epoch: [66][5150/7045]	Time 0.246 (0.265)	Data 0.196 (0.202)	Loss 2.4674 (2.6191)	Prec@1 38.672 (37.033)	Prec@5 71.484 (66.855)
Epoch: [66][5160/7045]	Time 0.190 (0.265)	Data 0.139 (0.202)	Loss 2.7572 (2.6191)	Prec@1 35.938 (37.031)	Prec@5 62.109 (66.853)
Epoch: [66][5170/7045]	Time 0.496 (0.266)	Data 0.439 (0.202)	Loss 2.5797 (2.6190)	Prec@1 39.062 (37.034)	Prec@5 69.141 (66.856)
Epoch: [66][5180/7045]	Time 0.143 (0.265)	Data 0.092 (0.202)	Loss 2.6440 (2.6192)	Prec@1 36.328 (37.030)	Prec@5 64.062 (66.853)
Epoch: [66][5190/7045]	Time 0.523 (0.265)	Data 0.472 (0.202)	Loss 2.6184 (2.6192)	Prec@1 37.109 (37.028)	Prec@5 66.797 (66.851)
Epoch: [66][5200/7045]	Time 0.107 (0.265)	Data 0.055 (0.202)	Loss 2.5406 (2.6192)	Prec@1 38.281 (37.027)	Prec@5 64.844 (66.851)
Epoch: [66][5210/7045]	Time 0.481 (0.265)	Data 0.430 (0.202)	Loss 2.6789 (2.6193)	Prec@1 38.281 (37.028)	Prec@5 65.625 (66.849)
Epoch: [66][5220/7045]	Time 0.136 (0.265)	Data 0.078 (0.202)	Loss 2.6486 (2.6193)	Prec@1 33.984 (37.027)	Prec@5 66.016 (66.851)
Epoch: [66][5230/7045]	Time 0.339 (0.265)	Data 0.286 (0.202)	Loss 2.7717 (2.6193)	Prec@1 34.766 (37.026)	Prec@5 63.281 (66.850)
Epoch: [66][5240/7045]	Time 0.306 (0.265)	Data 0.255 (0.202)	Loss 2.5532 (2.6194)	Prec@1 39.453 (37.024)	Prec@5 66.797 (66.849)
Epoch: [66][5250/7045]	Time 0.297 (0.265)	Data 0.246 (0.202)	Loss 2.8097 (2.6194)	Prec@1 32.422 (37.024)	Prec@5 61.328 (66.850)
Epoch: [66][5260/7045]	Time 0.150 (0.265)	Data 0.099 (0.202)	Loss 2.6974 (2.6195)	Prec@1 34.766 (37.022)	Prec@5 67.188 (66.848)
Epoch: [66][5270/7045]	Time 0.244 (0.265)	Data 0.194 (0.202)	Loss 2.4697 (2.6196)	Prec@1 37.891 (37.019)	Prec@5 68.359 (66.848)
Epoch: [66][5280/7045]	Time 0.102 (0.265)	Data 0.001 (0.202)	Loss 2.5182 (2.6196)	Prec@1 36.719 (37.018)	Prec@5 68.359 (66.848)
Epoch: [66][5290/7045]	Time 0.172 (0.265)	Data 0.122 (0.202)	Loss 2.6711 (2.6196)	Prec@1 35.156 (37.016)	Prec@5 67.578 (66.848)
Epoch: [66][5300/7045]	Time 0.110 (0.265)	Data 0.058 (0.202)	Loss 2.3972 (2.6195)	Prec@1 37.891 (37.017)	Prec@5 71.875 (66.852)
Epoch: [66][5310/7045]	Time 0.208 (0.265)	Data 0.158 (0.202)	Loss 2.8907 (2.6194)	Prec@1 34.766 (37.019)	Prec@5 62.500 (66.852)
Epoch: [66][5320/7045]	Time 0.987 (0.265)	Data 0.936 (0.202)	Loss 2.7103 (2.6194)	Prec@1 37.891 (37.020)	Prec@5 64.844 (66.853)
Epoch: [66][5330/7045]	Time 0.110 (0.265)	Data 0.006 (0.202)	Loss 2.4932 (2.6194)	Prec@1 37.109 (37.021)	Prec@5 68.359 (66.853)
Epoch: [66][5340/7045]	Time 0.124 (0.265)	Data 0.071 (0.202)	Loss 2.5566 (2.6193)	Prec@1 36.719 (37.021)	Prec@5 66.797 (66.855)
Epoch: [66][5350/7045]	Time 0.101 (0.265)	Data 0.001 (0.202)	Loss 2.6193 (2.6193)	Prec@1 35.547 (37.021)	Prec@5 67.969 (66.856)
Epoch: [66][5360/7045]	Time 0.305 (0.265)	Data 0.254 (0.202)	Loss 2.7082 (2.6193)	Prec@1 34.766 (37.023)	Prec@5 62.891 (66.856)
Epoch: [66][5370/7045]	Time 0.132 (0.265)	Data 0.081 (0.202)	Loss 2.5729 (2.6193)	Prec@1 40.625 (37.023)	Prec@5 67.578 (66.857)
Epoch: [66][5380/7045]	Time 0.374 (0.265)	Data 0.324 (0.202)	Loss 2.9214 (2.6194)	Prec@1 32.812 (37.023)	Prec@5 61.719 (66.853)
Epoch: [66][5390/7045]	Time 0.258 (0.265)	Data 0.205 (0.202)	Loss 2.6915 (2.6195)	Prec@1 34.375 (37.021)	Prec@5 63.672 (66.853)
Epoch: [66][5400/7045]	Time 0.577 (0.265)	Data 0.520 (0.202)	Loss 2.4386 (2.6194)	Prec@1 37.891 (37.023)	Prec@5 71.484 (66.852)
Epoch: [66][5410/7045]	Time 0.148 (0.265)	Data 0.096 (0.202)	Loss 2.7433 (2.6194)	Prec@1 36.328 (37.024)	Prec@5 68.359 (66.856)
Epoch: [66][5420/7045]	Time 0.546 (0.265)	Data 0.495 (0.202)	Loss 2.5153 (2.6193)	Prec@1 39.062 (37.026)	Prec@5 69.141 (66.857)
Epoch: [66][5430/7045]	Time 0.101 (0.265)	Data 0.004 (0.202)	Loss 2.7373 (2.6193)	Prec@1 36.719 (37.027)	Prec@5 63.672 (66.858)
Epoch: [66][5440/7045]	Time 0.482 (0.265)	Data 0.431 (0.202)	Loss 2.4271 (2.6193)	Prec@1 38.672 (37.027)	Prec@5 72.266 (66.858)
Epoch: [66][5450/7045]	Time 0.111 (0.265)	Data 0.059 (0.202)	Loss 2.7506 (2.6194)	Prec@1 31.641 (37.024)	Prec@5 64.062 (66.853)
Epoch: [66][5460/7045]	Time 0.873 (0.265)	Data 0.821 (0.202)	Loss 2.5793 (2.6195)	Prec@1 37.109 (37.024)	Prec@5 64.453 (66.853)
Epoch: [66][5470/7045]	Time 0.102 (0.265)	Data 0.001 (0.202)	Loss 2.5655 (2.6194)	Prec@1 38.281 (37.023)	Prec@5 67.969 (66.855)
Epoch: [66][5480/7045]	Time 0.702 (0.265)	Data 0.651 (0.202)	Loss 2.7530 (2.6195)	Prec@1 32.812 (37.020)	Prec@5 61.719 (66.852)
Epoch: [66][5490/7045]	Time 0.110 (0.265)	Data 0.057 (0.202)	Loss 2.6675 (2.6195)	Prec@1 37.109 (37.023)	Prec@5 65.234 (66.853)
Epoch: [66][5500/7045]	Time 2.445 (0.265)	Data 2.394 (0.202)	Loss 2.6568 (2.6196)	Prec@1 35.547 (37.019)	Prec@5 67.578 (66.852)
Epoch: [66][5510/7045]	Time 0.102 (0.265)	Data 0.003 (0.202)	Loss 2.6107 (2.6195)	Prec@1 36.328 (37.021)	Prec@5 68.750 (66.855)
Epoch: [66][5520/7045]	Time 0.343 (0.265)	Data 0.292 (0.202)	Loss 2.6585 (2.6196)	Prec@1 36.328 (37.020)	Prec@5 63.281 (66.854)
Epoch: [66][5530/7045]	Time 0.277 (0.265)	Data 0.227 (0.202)	Loss 2.5281 (2.6194)	Prec@1 33.594 (37.022)	Prec@5 68.359 (66.856)
Epoch: [66][5540/7045]	Time 0.108 (0.265)	Data 0.055 (0.202)	Loss 2.6542 (2.6194)	Prec@1 33.203 (37.022)	Prec@5 66.797 (66.856)
Epoch: [66][5550/7045]	Time 0.427 (0.265)	Data 0.375 (0.202)	Loss 2.8112 (2.6195)	Prec@1 31.641 (37.018)	Prec@5 62.891 (66.854)
Epoch: [66][5560/7045]	Time 0.107 (0.265)	Data 0.056 (0.202)	Loss 2.5265 (2.6195)	Prec@1 37.891 (37.019)	Prec@5 69.141 (66.853)
Epoch: [66][5570/7045]	Time 0.348 (0.265)	Data 0.296 (0.202)	Loss 2.6025 (2.6194)	Prec@1 38.672 (37.021)	Prec@5 67.969 (66.855)
Epoch: [66][5580/7045]	Time 0.159 (0.265)	Data 0.107 (0.202)	Loss 2.5940 (2.6194)	Prec@1 39.062 (37.022)	Prec@5 67.578 (66.855)
Epoch: [66][5590/7045]	Time 0.318 (0.265)	Data 0.267 (0.202)	Loss 2.5784 (2.6193)	Prec@1 35.938 (37.024)	Prec@5 69.141 (66.856)
Epoch: [66][5600/7045]	Time 0.262 (0.265)	Data 0.211 (0.202)	Loss 2.7215 (2.6193)	Prec@1 33.984 (37.024)	Prec@5 67.969 (66.856)
Epoch: [66][5610/7045]	Time 0.369 (0.265)	Data 0.319 (0.202)	Loss 2.7257 (2.6195)	Prec@1 37.109 (37.022)	Prec@5 65.234 (66.853)
Epoch: [66][5620/7045]	Time 0.094 (0.265)	Data 0.001 (0.202)	Loss 2.5957 (2.6193)	Prec@1 32.812 (37.023)	Prec@5 65.625 (66.855)
Epoch: [66][5630/7045]	Time 0.546 (0.265)	Data 0.494 (0.202)	Loss 2.6298 (2.6193)	Prec@1 34.766 (37.024)	Prec@5 69.141 (66.855)
Epoch: [66][5640/7045]	Time 0.160 (0.265)	Data 0.104 (0.202)	Loss 2.6069 (2.6194)	Prec@1 33.594 (37.024)	Prec@5 69.922 (66.855)
Epoch: [66][5650/7045]	Time 1.006 (0.265)	Data 0.946 (0.202)	Loss 2.6191 (2.6194)	Prec@1 35.938 (37.021)	Prec@5 66.016 (66.855)
Epoch: [66][5660/7045]	Time 0.103 (0.265)	Data 0.051 (0.202)	Loss 2.6094 (2.6195)	Prec@1 37.500 (37.020)	Prec@5 66.016 (66.853)
Epoch: [66][5670/7045]	Time 0.623 (0.265)	Data 0.570 (0.202)	Loss 2.5672 (2.6194)	Prec@1 39.062 (37.022)	Prec@5 69.141 (66.856)
Epoch: [66][5680/7045]	Time 0.142 (0.265)	Data 0.084 (0.202)	Loss 2.5025 (2.6193)	Prec@1 37.500 (37.024)	Prec@5 67.969 (66.858)
Epoch: [66][5690/7045]	Time 2.468 (0.265)	Data 2.417 (0.202)	Loss 2.4970 (2.6192)	Prec@1 42.188 (37.026)	Prec@5 68.750 (66.861)
Epoch: [66][5700/7045]	Time 0.121 (0.265)	Data 0.069 (0.202)	Loss 2.5656 (2.6191)	Prec@1 37.891 (37.028)	Prec@5 65.234 (66.862)
Epoch: [66][5710/7045]	Time 0.571 (0.265)	Data 0.514 (0.202)	Loss 2.6434 (2.6191)	Prec@1 37.891 (37.029)	Prec@5 66.406 (66.863)
Epoch: [66][5720/7045]	Time 0.102 (0.265)	Data 0.050 (0.202)	Loss 2.6502 (2.6191)	Prec@1 37.109 (37.029)	Prec@5 66.016 (66.863)
Epoch: [66][5730/7045]	Time 0.337 (0.265)	Data 0.280 (0.202)	Loss 2.6412 (2.6190)	Prec@1 34.375 (37.029)	Prec@5 69.531 (66.865)
Epoch: [66][5740/7045]	Time 0.262 (0.265)	Data 0.211 (0.202)	Loss 2.6390 (2.6190)	Prec@1 37.500 (37.029)	Prec@5 66.016 (66.863)
Epoch: [66][5750/7045]	Time 0.108 (0.265)	Data 0.047 (0.202)	Loss 2.7031 (2.6190)	Prec@1 37.109 (37.030)	Prec@5 65.625 (66.865)
Epoch: [66][5760/7045]	Time 0.114 (0.265)	Data 0.063 (0.202)	Loss 2.6066 (2.6189)	Prec@1 37.500 (37.030)	Prec@5 69.922 (66.867)
Epoch: [66][5770/7045]	Time 0.102 (0.265)	Data 0.005 (0.202)	Loss 2.5353 (2.6189)	Prec@1 40.625 (37.029)	Prec@5 69.531 (66.868)
Epoch: [66][5780/7045]	Time 0.355 (0.265)	Data 0.303 (0.202)	Loss 2.6690 (2.6190)	Prec@1 37.500 (37.030)	Prec@5 64.453 (66.868)
Epoch: [66][5790/7045]	Time 0.103 (0.265)	Data 0.001 (0.202)	Loss 2.4012 (2.6190)	Prec@1 40.234 (37.029)	Prec@5 68.359 (66.868)
Epoch: [66][5800/7045]	Time 0.526 (0.265)	Data 0.474 (0.202)	Loss 2.6818 (2.6191)	Prec@1 37.891 (37.028)	Prec@5 66.016 (66.868)
Epoch: [66][5810/7045]	Time 0.107 (0.265)	Data 0.055 (0.202)	Loss 2.6795 (2.6190)	Prec@1 35.938 (37.027)	Prec@5 67.188 (66.868)
Epoch: [66][5820/7045]	Time 0.474 (0.265)	Data 0.423 (0.202)	Loss 2.7345 (2.6190)	Prec@1 35.547 (37.027)	Prec@5 63.281 (66.869)
Epoch: [66][5830/7045]	Time 0.165 (0.265)	Data 0.114 (0.202)	Loss 2.4766 (2.6190)	Prec@1 41.016 (37.026)	Prec@5 67.188 (66.869)
Epoch: [66][5840/7045]	Time 0.464 (0.265)	Data 0.413 (0.202)	Loss 2.7866 (2.6190)	Prec@1 32.812 (37.024)	Prec@5 65.234 (66.869)
Epoch: [66][5850/7045]	Time 0.102 (0.265)	Data 0.004 (0.202)	Loss 2.5865 (2.6191)	Prec@1 34.766 (37.023)	Prec@5 67.188 (66.870)
Epoch: [66][5860/7045]	Time 0.597 (0.265)	Data 0.545 (0.202)	Loss 2.3919 (2.6190)	Prec@1 42.578 (37.026)	Prec@5 70.703 (66.872)
Epoch: [66][5870/7045]	Time 0.112 (0.265)	Data 0.052 (0.202)	Loss 2.5361 (2.6190)	Prec@1 41.406 (37.027)	Prec@5 66.797 (66.872)
Epoch: [66][5880/7045]	Time 0.552 (0.265)	Data 0.501 (0.202)	Loss 2.4812 (2.6190)	Prec@1 38.672 (37.028)	Prec@5 69.531 (66.872)
Epoch: [66][5890/7045]	Time 0.179 (0.265)	Data 0.122 (0.202)	Loss 2.5769 (2.6188)	Prec@1 38.281 (37.032)	Prec@5 68.750 (66.874)
Epoch: [66][5900/7045]	Time 0.468 (0.265)	Data 0.418 (0.202)	Loss 2.5800 (2.6188)	Prec@1 35.938 (37.033)	Prec@5 65.625 (66.873)
Epoch: [66][5910/7045]	Time 0.203 (0.265)	Data 0.152 (0.202)	Loss 2.5652 (2.6187)	Prec@1 38.672 (37.034)	Prec@5 71.875 (66.878)
Epoch: [66][5920/7045]	Time 2.239 (0.265)	Data 2.178 (0.202)	Loss 2.5712 (2.6186)	Prec@1 38.281 (37.034)	Prec@5 68.359 (66.879)
Epoch: [66][5930/7045]	Time 0.102 (0.265)	Data 0.050 (0.202)	Loss 2.6738 (2.6186)	Prec@1 36.719 (37.034)	Prec@5 66.797 (66.880)
Epoch: [66][5940/7045]	Time 0.629 (0.265)	Data 0.570 (0.202)	Loss 2.4856 (2.6186)	Prec@1 39.062 (37.031)	Prec@5 70.703 (66.879)
Epoch: [66][5950/7045]	Time 0.123 (0.265)	Data 0.073 (0.202)	Loss 2.6178 (2.6187)	Prec@1 35.938 (37.030)	Prec@5 67.188 (66.878)
Epoch: [66][5960/7045]	Time 0.332 (0.265)	Data 0.281 (0.202)	Loss 2.6047 (2.6187)	Prec@1 39.062 (37.030)	Prec@5 66.016 (66.877)
Epoch: [66][5970/7045]	Time 0.102 (0.265)	Data 0.005 (0.202)	Loss 2.4977 (2.6188)	Prec@1 35.938 (37.030)	Prec@5 69.531 (66.878)
Epoch: [66][5980/7045]	Time 0.255 (0.265)	Data 0.205 (0.202)	Loss 2.6733 (2.6187)	Prec@1 34.375 (37.032)	Prec@5 64.844 (66.881)
Epoch: [66][5990/7045]	Time 0.102 (0.265)	Data 0.005 (0.202)	Loss 2.7445 (2.6187)	Prec@1 40.234 (37.032)	Prec@5 61.328 (66.879)
Epoch: [66][6000/7045]	Time 0.209 (0.265)	Data 0.152 (0.202)	Loss 2.4941 (2.6188)	Prec@1 42.188 (37.033)	Prec@5 71.484 (66.880)
Epoch: [66][6010/7045]	Time 0.130 (0.265)	Data 0.079 (0.202)	Loss 2.5355 (2.6186)	Prec@1 35.938 (37.036)	Prec@5 67.188 (66.883)
Epoch: [66][6020/7045]	Time 0.199 (0.265)	Data 0.139 (0.202)	Loss 2.6947 (2.6186)	Prec@1 35.938 (37.035)	Prec@5 63.672 (66.880)
Epoch: [66][6030/7045]	Time 0.102 (0.265)	Data 0.050 (0.202)	Loss 2.8174 (2.6186)	Prec@1 31.250 (37.033)	Prec@5 60.938 (66.879)
Epoch: [66][6040/7045]	Time 0.198 (0.265)	Data 0.147 (0.202)	Loss 2.4279 (2.6187)	Prec@1 42.188 (37.032)	Prec@5 70.312 (66.879)
Epoch: [66][6050/7045]	Time 0.103 (0.265)	Data 0.001 (0.202)	Loss 2.5673 (2.6187)	Prec@1 39.453 (37.033)	Prec@5 73.047 (66.879)
Epoch: [66][6060/7045]	Time 0.192 (0.265)	Data 0.140 (0.202)	Loss 2.5818 (2.6186)	Prec@1 34.766 (37.031)	Prec@5 67.188 (66.880)
Epoch: [66][6070/7045]	Time 0.099 (0.265)	Data 0.001 (0.201)	Loss 2.6559 (2.6186)	Prec@1 33.984 (37.030)	Prec@5 65.234 (66.880)
Epoch: [66][6080/7045]	Time 0.204 (0.265)	Data 0.153 (0.202)	Loss 2.6478 (2.6187)	Prec@1 33.594 (37.028)	Prec@5 63.281 (66.878)
Epoch: [66][6090/7045]	Time 0.247 (0.265)	Data 0.195 (0.202)	Loss 2.7655 (2.6186)	Prec@1 35.938 (37.031)	Prec@5 61.719 (66.879)
Epoch: [66][6100/7045]	Time 0.255 (0.265)	Data 0.204 (0.202)	Loss 2.5979 (2.6187)	Prec@1 36.328 (37.032)	Prec@5 67.969 (66.879)
Epoch: [66][6110/7045]	Time 0.547 (0.265)	Data 0.496 (0.202)	Loss 2.8079 (2.6187)	Prec@1 35.547 (37.031)	Prec@5 62.109 (66.878)
Epoch: [66][6120/7045]	Time 0.197 (0.265)	Data 0.141 (0.202)	Loss 2.3802 (2.6186)	Prec@1 40.625 (37.034)	Prec@5 67.969 (66.881)
Epoch: [66][6130/7045]	Time 0.594 (0.265)	Data 0.543 (0.202)	Loss 2.4954 (2.6185)	Prec@1 41.406 (37.036)	Prec@5 67.188 (66.883)
Epoch: [66][6140/7045]	Time 0.149 (0.265)	Data 0.098 (0.201)	Loss 2.6770 (2.6185)	Prec@1 37.109 (37.039)	Prec@5 64.453 (66.883)
Epoch: [66][6150/7045]	Time 0.676 (0.265)	Data 0.618 (0.202)	Loss 2.7154 (2.6184)	Prec@1 38.281 (37.041)	Prec@5 64.453 (66.883)
Epoch: [66][6160/7045]	Time 0.127 (0.265)	Data 0.076 (0.202)	Loss 2.6325 (2.6186)	Prec@1 34.766 (37.039)	Prec@5 64.844 (66.880)
Epoch: [66][6170/7045]	Time 0.506 (0.265)	Data 0.449 (0.202)	Loss 2.4260 (2.6185)	Prec@1 37.500 (37.040)	Prec@5 71.875 (66.881)
Epoch: [66][6180/7045]	Time 0.146 (0.265)	Data 0.093 (0.202)	Loss 2.5531 (2.6185)	Prec@1 39.453 (37.038)	Prec@5 67.188 (66.880)
Epoch: [66][6190/7045]	Time 0.292 (0.265)	Data 0.241 (0.202)	Loss 2.7275 (2.6185)	Prec@1 37.891 (37.038)	Prec@5 64.062 (66.878)
Epoch: [66][6200/7045]	Time 0.110 (0.265)	Data 0.059 (0.201)	Loss 2.7689 (2.6185)	Prec@1 34.766 (37.039)	Prec@5 64.062 (66.878)
Epoch: [66][6210/7045]	Time 0.109 (0.265)	Data 0.007 (0.201)	Loss 2.6413 (2.6185)	Prec@1 40.625 (37.040)	Prec@5 66.797 (66.877)
Epoch: [66][6220/7045]	Time 0.103 (0.265)	Data 0.001 (0.201)	Loss 2.5692 (2.6185)	Prec@1 37.891 (37.040)	Prec@5 65.234 (66.877)
Epoch: [66][6230/7045]	Time 0.102 (0.265)	Data 0.005 (0.202)	Loss 2.7669 (2.6186)	Prec@1 34.375 (37.038)	Prec@5 62.891 (66.874)
Epoch: [66][6240/7045]	Time 0.485 (0.265)	Data 0.434 (0.202)	Loss 2.4525 (2.6187)	Prec@1 42.578 (37.036)	Prec@5 71.094 (66.872)
Epoch: [66][6250/7045]	Time 0.102 (0.265)	Data 0.001 (0.201)	Loss 2.5509 (2.6186)	Prec@1 36.328 (37.039)	Prec@5 68.359 (66.876)
Epoch: [66][6260/7045]	Time 0.654 (0.265)	Data 0.594 (0.201)	Loss 2.5216 (2.6186)	Prec@1 37.500 (37.038)	Prec@5 69.922 (66.873)
Epoch: [66][6270/7045]	Time 0.108 (0.265)	Data 0.056 (0.201)	Loss 2.5158 (2.6186)	Prec@1 44.922 (37.042)	Prec@5 68.359 (66.873)
Epoch: [66][6280/7045]	Time 0.391 (0.265)	Data 0.339 (0.201)	Loss 2.5696 (2.6186)	Prec@1 41.406 (37.040)	Prec@5 67.578 (66.871)
Epoch: [66][6290/7045]	Time 0.101 (0.265)	Data 0.001 (0.201)	Loss 2.6696 (2.6186)	Prec@1 35.938 (37.040)	Prec@5 64.062 (66.871)
Epoch: [66][6300/7045]	Time 1.365 (0.265)	Data 1.305 (0.201)	Loss 2.7082 (2.6186)	Prec@1 36.719 (37.038)	Prec@5 64.844 (66.869)
Epoch: [66][6310/7045]	Time 0.103 (0.265)	Data 0.001 (0.201)	Loss 2.5698 (2.6186)	Prec@1 35.938 (37.037)	Prec@5 71.094 (66.870)
Epoch: [66][6320/7045]	Time 0.312 (0.265)	Data 0.257 (0.201)	Loss 2.4963 (2.6184)	Prec@1 35.547 (37.040)	Prec@5 67.578 (66.872)
Epoch: [66][6330/7045]	Time 0.599 (0.265)	Data 0.549 (0.201)	Loss 2.6402 (2.6185)	Prec@1 39.062 (37.042)	Prec@5 67.969 (66.871)
Epoch: [66][6340/7045]	Time 0.096 (0.265)	Data 0.001 (0.201)	Loss 2.4602 (2.6184)	Prec@1 43.750 (37.045)	Prec@5 69.922 (66.872)
Epoch: [66][6350/7045]	Time 0.397 (0.265)	Data 0.347 (0.201)	Loss 2.5918 (2.6183)	Prec@1 37.500 (37.046)	Prec@5 68.359 (66.872)
Epoch: [66][6360/7045]	Time 0.100 (0.265)	Data 0.008 (0.201)	Loss 2.5442 (2.6182)	Prec@1 42.188 (37.046)	Prec@5 67.578 (66.872)
Epoch: [66][6370/7045]	Time 0.235 (0.265)	Data 0.184 (0.201)	Loss 2.7163 (2.6182)	Prec@1 32.812 (37.047)	Prec@5 66.406 (66.872)
Epoch: [66][6380/7045]	Time 0.101 (0.265)	Data 0.005 (0.201)	Loss 2.6045 (2.6182)	Prec@1 38.281 (37.049)	Prec@5 68.359 (66.873)
Epoch: [66][6390/7045]	Time 0.289 (0.265)	Data 0.237 (0.201)	Loss 2.5694 (2.6182)	Prec@1 36.719 (37.048)	Prec@5 69.141 (66.873)
Epoch: [66][6400/7045]	Time 0.098 (0.265)	Data 0.047 (0.201)	Loss 2.7289 (2.6182)	Prec@1 32.422 (37.048)	Prec@5 66.406 (66.873)
Epoch: [66][6410/7045]	Time 0.323 (0.265)	Data 0.265 (0.201)	Loss 2.5745 (2.6183)	Prec@1 34.766 (37.047)	Prec@5 69.141 (66.872)
Epoch: [66][6420/7045]	Time 0.382 (0.265)	Data 0.331 (0.201)	Loss 2.5862 (2.6183)	Prec@1 39.062 (37.048)	Prec@5 68.359 (66.872)
Epoch: [66][6430/7045]	Time 0.332 (0.265)	Data 0.273 (0.201)	Loss 2.6227 (2.6183)	Prec@1 35.938 (37.047)	Prec@5 66.797 (66.871)
Epoch: [66][6440/7045]	Time 0.375 (0.265)	Data 0.324 (0.201)	Loss 2.7989 (2.6182)	Prec@1 33.594 (37.049)	Prec@5 62.500 (66.872)
Epoch: [66][6450/7045]	Time 0.328 (0.265)	Data 0.277 (0.201)	Loss 2.7436 (2.6183)	Prec@1 32.422 (37.046)	Prec@5 61.719 (66.870)
Epoch: [66][6460/7045]	Time 0.343 (0.265)	Data 0.291 (0.201)	Loss 2.7598 (2.6184)	Prec@1 32.422 (37.044)	Prec@5 66.016 (66.867)
Epoch: [66][6470/7045]	Time 0.353 (0.264)	Data 0.302 (0.201)	Loss 2.6600 (2.6185)	Prec@1 32.422 (37.042)	Prec@5 64.062 (66.865)
Epoch: [66][6480/7045]	Time 0.358 (0.265)	Data 0.305 (0.201)	Loss 2.4604 (2.6185)	Prec@1 39.844 (37.043)	Prec@5 70.703 (66.866)
Epoch: [66][6490/7045]	Time 0.432 (0.265)	Data 0.380 (0.201)	Loss 2.6853 (2.6185)	Prec@1 33.594 (37.044)	Prec@5 66.406 (66.866)
Epoch: [66][6500/7045]	Time 0.235 (0.265)	Data 0.185 (0.201)	Loss 2.6178 (2.6185)	Prec@1 39.062 (37.043)	Prec@5 66.016 (66.867)
Epoch: [66][6510/7045]	Time 0.177 (0.265)	Data 0.120 (0.201)	Loss 2.5004 (2.6186)	Prec@1 42.188 (37.041)	Prec@5 71.875 (66.865)
Epoch: [66][6520/7045]	Time 0.200 (0.265)	Data 0.149 (0.201)	Loss 2.4948 (2.6186)	Prec@1 39.062 (37.043)	Prec@5 69.531 (66.865)
Epoch: [66][6530/7045]	Time 0.103 (0.265)	Data 0.001 (0.201)	Loss 2.6559 (2.6185)	Prec@1 33.594 (37.045)	Prec@5 67.188 (66.866)
Epoch: [66][6540/7045]	Time 0.232 (0.264)	Data 0.181 (0.201)	Loss 2.6538 (2.6186)	Prec@1 37.500 (37.044)	Prec@5 64.062 (66.864)
Epoch: [66][6550/7045]	Time 0.195 (0.264)	Data 0.137 (0.201)	Loss 2.5438 (2.6186)	Prec@1 39.844 (37.045)	Prec@5 69.922 (66.865)
Epoch: [66][6560/7045]	Time 0.431 (0.265)	Data 0.380 (0.202)	Loss 2.9105 (2.6186)	Prec@1 31.250 (37.043)	Prec@5 59.766 (66.866)
Epoch: [66][6570/7045]	Time 0.150 (0.265)	Data 0.099 (0.201)	Loss 2.5698 (2.6188)	Prec@1 39.062 (37.041)	Prec@5 70.703 (66.863)
Epoch: [66][6580/7045]	Time 0.317 (0.265)	Data 0.266 (0.202)	Loss 2.5884 (2.6188)	Prec@1 36.719 (37.040)	Prec@5 66.016 (66.863)
Epoch: [66][6590/7045]	Time 0.102 (0.265)	Data 0.007 (0.201)	Loss 2.6001 (2.6189)	Prec@1 35.547 (37.041)	Prec@5 66.016 (66.862)
Epoch: [66][6600/7045]	Time 0.108 (0.265)	Data 0.005 (0.201)	Loss 2.4347 (2.6189)	Prec@1 41.406 (37.040)	Prec@5 69.531 (66.861)
Epoch: [66][6610/7045]	Time 0.102 (0.265)	Data 0.001 (0.201)	Loss 2.7467 (2.6189)	Prec@1 36.719 (37.041)	Prec@5 64.453 (66.863)
Epoch: [66][6620/7045]	Time 0.220 (0.265)	Data 0.169 (0.201)	Loss 2.5726 (2.6189)	Prec@1 38.672 (37.041)	Prec@5 64.453 (66.862)
Epoch: [66][6630/7045]	Time 0.102 (0.264)	Data 0.001 (0.201)	Loss 2.8679 (2.6189)	Prec@1 32.031 (37.042)	Prec@5 61.719 (66.862)
Epoch: [66][6640/7045]	Time 0.109 (0.264)	Data 0.057 (0.201)	Loss 2.4747 (2.6187)	Prec@1 40.234 (37.043)	Prec@5 69.531 (66.865)
Epoch: [66][6650/7045]	Time 0.194 (0.265)	Data 0.143 (0.201)	Loss 2.7278 (2.6187)	Prec@1 35.938 (37.044)	Prec@5 64.062 (66.867)
Epoch: [66][6660/7045]	Time 0.277 (0.265)	Data 0.225 (0.201)	Loss 2.7376 (2.6186)	Prec@1 34.375 (37.045)	Prec@5 65.625 (66.867)
Epoch: [66][6670/7045]	Time 0.244 (0.265)	Data 0.193 (0.201)	Loss 2.4701 (2.6186)	Prec@1 39.062 (37.044)	Prec@5 68.359 (66.869)
Epoch: [66][6680/7045]	Time 0.294 (0.265)	Data 0.241 (0.201)	Loss 2.8075 (2.6186)	Prec@1 35.938 (37.045)	Prec@5 64.062 (66.869)
Epoch: [66][6690/7045]	Time 0.301 (0.264)	Data 0.251 (0.201)	Loss 2.7146 (2.6186)	Prec@1 36.328 (37.046)	Prec@5 62.891 (66.870)
Epoch: [66][6700/7045]	Time 0.356 (0.264)	Data 0.305 (0.201)	Loss 2.4936 (2.6186)	Prec@1 35.156 (37.045)	Prec@5 70.703 (66.869)
Epoch: [66][6710/7045]	Time 0.254 (0.264)	Data 0.203 (0.201)	Loss 2.5594 (2.6186)	Prec@1 38.672 (37.044)	Prec@5 67.969 (66.869)
Epoch: [66][6720/7045]	Time 0.369 (0.264)	Data 0.318 (0.201)	Loss 2.6750 (2.6185)	Prec@1 33.594 (37.047)	Prec@5 64.844 (66.869)
Epoch: [66][6730/7045]	Time 0.109 (0.265)	Data 0.008 (0.201)	Loss 2.5517 (2.6185)	Prec@1 37.891 (37.047)	Prec@5 69.141 (66.871)
Epoch: [66][6740/7045]	Time 0.273 (0.265)	Data 0.221 (0.201)	Loss 2.7428 (2.6185)	Prec@1 32.422 (37.046)	Prec@5 66.016 (66.869)
Epoch: [66][6750/7045]	Time 0.101 (0.265)	Data 0.047 (0.201)	Loss 2.4147 (2.6184)	Prec@1 41.797 (37.047)	Prec@5 71.484 (66.869)
Epoch: [66][6760/7045]	Time 0.340 (0.265)	Data 0.289 (0.201)	Loss 2.3960 (2.6185)	Prec@1 40.625 (37.045)	Prec@5 71.484 (66.868)
Epoch: [66][6770/7045]	Time 0.218 (0.265)	Data 0.160 (0.201)	Loss 2.6685 (2.6186)	Prec@1 39.453 (37.043)	Prec@5 65.625 (66.865)
Epoch: [66][6780/7045]	Time 0.332 (0.264)	Data 0.282 (0.201)	Loss 2.6042 (2.6186)	Prec@1 34.375 (37.042)	Prec@5 67.188 (66.866)
Epoch: [66][6790/7045]	Time 0.130 (0.264)	Data 0.079 (0.201)	Loss 2.6493 (2.6185)	Prec@1 34.375 (37.042)	Prec@5 68.750 (66.868)
Epoch: [66][6800/7045]	Time 2.069 (0.265)	Data 2.017 (0.201)	Loss 2.3997 (2.6184)	Prec@1 39.062 (37.042)	Prec@5 70.312 (66.870)
Epoch: [66][6810/7045]	Time 0.105 (0.265)	Data 0.053 (0.201)	Loss 2.7278 (2.6185)	Prec@1 34.375 (37.040)	Prec@5 63.672 (66.868)
Epoch: [66][6820/7045]	Time 0.247 (0.265)	Data 0.195 (0.201)	Loss 2.6352 (2.6186)	Prec@1 36.328 (37.038)	Prec@5 64.844 (66.866)
Epoch: [66][6830/7045]	Time 0.103 (0.265)	Data 0.005 (0.201)	Loss 2.7973 (2.6186)	Prec@1 35.156 (37.037)	Prec@5 61.328 (66.865)
Epoch: [66][6840/7045]	Time 0.103 (0.265)	Data 0.005 (0.201)	Loss 2.6821 (2.6186)	Prec@1 33.594 (37.038)	Prec@5 64.062 (66.865)
Epoch: [66][6850/7045]	Time 0.108 (0.264)	Data 0.055 (0.201)	Loss 2.7077 (2.6186)	Prec@1 35.547 (37.038)	Prec@5 61.328 (66.865)
Epoch: [66][6860/7045]	Time 0.122 (0.264)	Data 0.070 (0.201)	Loss 2.3995 (2.6186)	Prec@1 44.141 (37.040)	Prec@5 71.484 (66.865)
Epoch: [66][6870/7045]	Time 0.103 (0.264)	Data 0.001 (0.201)	Loss 2.5129 (2.6187)	Prec@1 41.797 (37.039)	Prec@5 68.359 (66.862)
Epoch: [66][6880/7045]	Time 0.111 (0.265)	Data 0.006 (0.202)	Loss 2.6794 (2.6187)	Prec@1 31.250 (37.038)	Prec@5 66.406 (66.863)
Epoch: [66][6890/7045]	Time 0.103 (0.265)	Data 0.001 (0.201)	Loss 2.6041 (2.6186)	Prec@1 40.234 (37.040)	Prec@5 70.703 (66.864)
Epoch: [66][6900/7045]	Time 0.105 (0.265)	Data 0.050 (0.201)	Loss 2.6967 (2.6188)	Prec@1 34.766 (37.035)	Prec@5 65.625 (66.860)
Epoch: [66][6910/7045]	Time 0.102 (0.265)	Data 0.001 (0.201)	Loss 2.6962 (2.6189)	Prec@1 36.328 (37.035)	Prec@5 67.188 (66.859)
Epoch: [66][6920/7045]	Time 0.108 (0.265)	Data 0.006 (0.201)	Loss 2.5319 (2.6188)	Prec@1 39.844 (37.035)	Prec@5 69.531 (66.860)
Epoch: [66][6930/7045]	Time 0.100 (0.264)	Data 0.046 (0.201)	Loss 2.7302 (2.6188)	Prec@1 34.375 (37.035)	Prec@5 67.188 (66.859)
Epoch: [66][6940/7045]	Time 0.102 (0.264)	Data 0.003 (0.201)	Loss 2.4883 (2.6187)	Prec@1 39.844 (37.037)	Prec@5 68.359 (66.862)
Epoch: [66][6950/7045]	Time 0.112 (0.264)	Data 0.059 (0.201)	Loss 2.7352 (2.6187)	Prec@1 33.984 (37.038)	Prec@5 62.891 (66.862)
Epoch: [66][6960/7045]	Time 0.107 (0.265)	Data 0.004 (0.201)	Loss 2.5344 (2.6187)	Prec@1 36.328 (37.040)	Prec@5 69.141 (66.863)
Epoch: [66][6970/7045]	Time 0.119 (0.265)	Data 0.068 (0.201)	Loss 2.7437 (2.6187)	Prec@1 33.984 (37.041)	Prec@5 65.625 (66.862)
Epoch: [66][6980/7045]	Time 0.102 (0.265)	Data 0.007 (0.201)	Loss 2.6447 (2.6186)	Prec@1 40.625 (37.043)	Prec@5 60.938 (66.863)
Epoch: [66][6990/7045]	Time 0.164 (0.265)	Data 0.112 (0.201)	Loss 2.7001 (2.6186)	Prec@1 33.984 (37.043)	Prec@5 68.750 (66.864)
Epoch: [66][7000/7045]	Time 0.104 (0.265)	Data 0.052 (0.201)	Loss 2.7892 (2.6186)	Prec@1 32.422 (37.043)	Prec@5 62.109 (66.864)
Epoch: [66][7010/7045]	Time 0.250 (0.264)	Data 0.198 (0.201)	Loss 2.6595 (2.6186)	Prec@1 32.422 (37.040)	Prec@5 68.359 (66.864)
Epoch: [66][7020/7045]	Time 0.101 (0.264)	Data 0.009 (0.201)	Loss 2.6092 (2.6185)	Prec@1 37.500 (37.041)	Prec@5 66.016 (66.863)
Epoch: [66][7030/7045]	Time 0.231 (0.265)	Data 0.181 (0.201)	Loss 2.7845 (2.6187)	Prec@1 33.203 (37.038)	Prec@5 62.891 (66.860)
Epoch: [66][7040/7045]	Time 0.171 (0.265)	Data 0.115 (0.201)	Loss 2.5220 (2.6186)	Prec@1 41.406 (37.040)	Prec@5 71.094 (66.861)
Test: [0/143]	Time 1.275 (1.275)	Loss 2.2240 (2.2240)	Prec@1 47.656 (47.656)	Prec@5 76.562 (76.562)
Test: [10/143]	Time 0.059 (0.238)	Loss 1.7318 (2.0829)	Prec@1 59.375 (48.260)	Prec@5 82.031 (77.699)
Test: [20/143]	Time 0.492 (0.219)	Loss 2.1769 (2.0588)	Prec@1 47.266 (47.582)	Prec@5 75.781 (78.330)
Test: [30/143]	Time 0.061 (0.196)	Loss 2.2517 (2.0683)	Prec@1 46.484 (47.707)	Prec@5 69.922 (77.545)
Test: [40/143]	Time 0.471 (0.196)	Loss 2.6643 (2.0968)	Prec@1 26.953 (46.846)	Prec@5 69.531 (76.877)
Test: [50/143]	Time 0.059 (0.186)	Loss 1.9564 (2.1430)	Prec@1 41.406 (45.267)	Prec@5 82.031 (76.363)
Test: [60/143]	Time 0.466 (0.187)	Loss 2.3621 (2.1325)	Prec@1 38.672 (45.415)	Prec@5 75.781 (76.562)
Test: [70/143]	Time 0.054 (0.181)	Loss 3.0171 (2.1223)	Prec@1 26.953 (45.681)	Prec@5 57.031 (76.821)
Test: [80/143]	Time 0.443 (0.182)	Loss 2.0319 (2.1153)	Prec@1 46.094 (45.814)	Prec@5 79.688 (77.030)
Test: [90/143]	Time 0.058 (0.178)	Loss 1.7702 (2.1108)	Prec@1 57.812 (45.991)	Prec@5 85.938 (77.116)
Test: [100/143]	Time 0.499 (0.180)	Loss 1.9722 (2.1132)	Prec@1 50.391 (45.900)	Prec@5 83.594 (77.170)
Test: [110/143]	Time 0.058 (0.176)	Loss 1.8550 (2.1075)	Prec@1 51.172 (46.147)	Prec@5 80.859 (77.319)
Test: [120/143]	Time 0.350 (0.177)	Loss 1.7121 (2.0975)	Prec@1 60.547 (46.442)	Prec@5 84.766 (77.437)
Test: [130/143]	Time 0.061 (0.175)	Loss 1.5455 (2.1055)	Prec@1 66.016 (46.389)	Prec@5 82.031 (77.213)
Test: [140/143]	Time 0.362 (0.176)	Loss 3.1390 (2.1310)	Prec@1 18.750 (45.753)	Prec@5 58.984 (76.743)
 * Prec@1 45.784 Prec@5 76.759
Epoch: [67][0/7045]	Time 2.381 (2.381)	Data 2.318 (2.318)	Loss 2.5258 (2.5258)	Prec@1 38.672 (38.672)	Prec@5 71.094 (71.094)
Epoch: [67][10/7045]	Time 0.102 (0.408)	Data 0.001 (0.322)	Loss 2.7148 (2.6344)	Prec@1 35.938 (37.251)	Prec@5 63.281 (67.116)
Epoch: [67][20/7045]	Time 0.666 (0.345)	Data 0.615 (0.259)	Loss 2.5671 (2.5903)	Prec@1 40.234 (37.891)	Prec@5 67.578 (67.374)
Epoch: [67][30/7045]	Time 0.101 (0.303)	Data 0.001 (0.215)	Loss 2.6495 (2.6187)	Prec@1 36.719 (37.160)	Prec@5 68.359 (67.124)
Epoch: [67][40/7045]	Time 0.963 (0.302)	Data 0.912 (0.215)	Loss 2.6466 (2.6132)	Prec@1 34.766 (37.062)	Prec@5 68.750 (66.978)
Epoch: [67][50/7045]	Time 0.107 (0.281)	Data 0.054 (0.194)	Loss 2.5670 (2.6042)	Prec@1 37.500 (37.400)	Prec@5 67.188 (67.111)
Epoch: [67][60/7045]	Time 0.635 (0.279)	Data 0.584 (0.194)	Loss 2.5473 (2.6034)	Prec@1 34.375 (37.173)	Prec@5 66.406 (67.021)
Epoch: [67][70/7045]	Time 0.102 (0.271)	Data 0.009 (0.189)	Loss 2.6035 (2.6136)	Prec@1 35.938 (37.005)	Prec@5 68.359 (66.780)
Epoch: [67][80/7045]	Time 2.191 (0.291)	Data 2.138 (0.213)	Loss 2.6570 (2.6183)	Prec@1 35.156 (36.815)	Prec@5 66.797 (66.667)
Epoch: [67][90/7045]	Time 0.101 (0.285)	Data 0.001 (0.209)	Loss 2.5193 (2.6142)	Prec@1 41.406 (37.011)	Prec@5 66.406 (66.814)
Epoch: [67][100/7045]	Time 0.340 (0.281)	Data 0.288 (0.207)	Loss 2.3709 (2.6081)	Prec@1 39.062 (36.978)	Prec@5 71.094 (67.010)
Epoch: [67][110/7045]	Time 0.240 (0.278)	Data 0.188 (0.205)	Loss 2.5787 (2.6087)	Prec@1 38.672 (36.993)	Prec@5 70.703 (67.047)
Epoch: [67][120/7045]	Time 0.242 (0.275)	Data 0.190 (0.204)	Loss 2.7143 (2.6085)	Prec@1 33.203 (37.058)	Prec@5 62.500 (67.016)
Epoch: [67][130/7045]	Time 0.445 (0.274)	Data 0.393 (0.204)	Loss 2.5280 (2.6053)	Prec@1 41.406 (37.077)	Prec@5 70.312 (67.098)
Epoch: [67][140/7045]	Time 0.101 (0.271)	Data 0.003 (0.203)	Loss 2.7081 (2.6071)	Prec@1 35.156 (37.126)	Prec@5 66.016 (67.132)
Epoch: [67][150/7045]	Time 0.560 (0.271)	Data 0.509 (0.203)	Loss 2.7125 (2.6111)	Prec@1 38.281 (37.161)	Prec@5 66.016 (67.133)
Epoch: [67][160/7045]	Time 0.176 (0.274)	Data 0.125 (0.206)	Loss 2.4644 (2.6098)	Prec@1 38.672 (37.107)	Prec@5 67.578 (67.141)
Epoch: [67][170/7045]	Time 0.537 (0.273)	Data 0.486 (0.206)	Loss 2.6552 (2.6119)	Prec@1 36.328 (37.052)	Prec@5 67.969 (67.117)
Epoch: [67][180/7045]	Time 0.108 (0.271)	Data 0.004 (0.204)	Loss 2.5853 (2.6122)	Prec@1 36.719 (37.118)	Prec@5 66.406 (67.084)
Epoch: [67][190/7045]	Time 0.422 (0.270)	Data 0.371 (0.203)	Loss 2.5995 (2.6133)	Prec@1 38.672 (37.134)	Prec@5 64.453 (67.083)
Epoch: [67][200/7045]	Time 0.234 (0.268)	Data 0.183 (0.203)	Loss 2.5399 (2.6118)	Prec@1 39.844 (37.195)	Prec@5 67.578 (67.079)
Epoch: [67][210/7045]	Time 0.297 (0.267)	Data 0.245 (0.202)	Loss 2.5260 (2.6119)	Prec@1 41.016 (37.196)	Prec@5 68.750 (67.075)
Epoch: [67][220/7045]	Time 0.329 (0.266)	Data 0.278 (0.202)	Loss 2.5356 (2.6106)	Prec@1 39.062 (37.214)	Prec@5 67.188 (67.092)
Epoch: [67][230/7045]	Time 0.106 (0.264)	Data 0.053 (0.201)	Loss 2.5168 (2.6104)	Prec@1 35.547 (37.197)	Prec@5 71.875 (67.140)
Epoch: [67][240/7045]	Time 0.384 (0.265)	Data 0.333 (0.202)	Loss 2.5573 (2.6096)	Prec@1 37.109 (37.187)	Prec@5 70.312 (67.149)
Epoch: [67][250/7045]	Time 0.099 (0.264)	Data 0.047 (0.201)	Loss 2.6246 (2.6095)	Prec@1 39.062 (37.192)	Prec@5 65.625 (67.147)
Epoch: [67][260/7045]	Time 0.640 (0.271)	Data 0.589 (0.208)	Loss 2.7231 (2.6096)	Prec@1 35.938 (37.169)	Prec@5 67.578 (67.188)
Epoch: [67][270/7045]	Time 0.107 (0.269)	Data 0.001 (0.206)	Loss 2.6441 (2.6103)	Prec@1 41.016 (37.219)	Prec@5 67.188 (67.180)
Epoch: [67][280/7045]	Time 0.611 (0.269)	Data 0.553 (0.205)	Loss 2.7861 (2.6113)	Prec@1 32.422 (37.196)	Prec@5 62.891 (67.142)
Epoch: [67][290/7045]	Time 0.102 (0.267)	Data 0.005 (0.203)	Loss 2.6078 (2.6100)	Prec@1 42.188 (37.253)	Prec@5 70.312 (67.175)
Epoch: [67][300/7045]	Time 0.530 (0.267)	Data 0.481 (0.203)	Loss 2.6586 (2.6100)	Prec@1 33.984 (37.259)	Prec@5 68.359 (67.191)
Epoch: [67][310/7045]	Time 0.101 (0.268)	Data 0.005 (0.204)	Loss 2.7677 (2.6087)	Prec@1 35.938 (37.265)	Prec@5 62.109 (67.215)
Epoch: [67][320/7045]	Time 0.353 (0.267)	Data 0.303 (0.203)	Loss 2.7275 (2.6085)	Prec@1 32.812 (37.270)	Prec@5 66.016 (67.189)
Epoch: [67][330/7045]	Time 0.111 (0.266)	Data 0.009 (0.202)	Loss 2.6247 (2.6075)	Prec@1 32.812 (37.293)	Prec@5 63.672 (67.182)
Epoch: [67][340/7045]	Time 0.216 (0.265)	Data 0.164 (0.201)	Loss 2.5728 (2.6084)	Prec@1 40.234 (37.245)	Prec@5 69.922 (67.192)
Epoch: [67][350/7045]	Time 0.200 (0.265)	Data 0.150 (0.201)	Loss 2.6967 (2.6099)	Prec@1 33.984 (37.203)	Prec@5 66.406 (67.180)
Epoch: [67][360/7045]	Time 0.191 (0.264)	Data 0.140 (0.199)	Loss 2.6696 (2.6107)	Prec@1 32.031 (37.167)	Prec@5 67.969 (67.163)
Epoch: [67][370/7045]	Time 0.165 (0.264)	Data 0.114 (0.199)	Loss 2.8027 (2.6122)	Prec@1 37.891 (37.143)	Prec@5 64.062 (67.126)
Epoch: [67][380/7045]	Time 0.101 (0.262)	Data 0.045 (0.198)	Loss 2.4381 (2.6099)	Prec@1 38.672 (37.174)	Prec@5 71.094 (67.182)
Epoch: [67][390/7045]	Time 0.107 (0.263)	Data 0.001 (0.199)	Loss 2.7891 (2.6097)	Prec@1 35.156 (37.190)	Prec@5 63.672 (67.195)
Epoch: [67][400/7045]	Time 0.332 (0.262)	Data 0.280 (0.198)	Loss 2.7340 (2.6091)	Prec@1 31.641 (37.187)	Prec@5 66.016 (67.229)
Epoch: [67][410/7045]	Time 0.102 (0.268)	Data 0.012 (0.203)	Loss 2.3804 (2.6088)	Prec@1 42.188 (37.219)	Prec@5 70.312 (67.210)
Epoch: [67][420/7045]	Time 0.361 (0.267)	Data 0.310 (0.203)	Loss 2.4847 (2.6087)	Prec@1 40.625 (37.213)	Prec@5 70.312 (67.205)
Epoch: [67][430/7045]	Time 0.107 (0.266)	Data 0.055 (0.202)	Loss 2.7700 (2.6095)	Prec@1 36.328 (37.205)	Prec@5 66.406 (67.204)
Epoch: [67][440/7045]	Time 0.403 (0.266)	Data 0.350 (0.202)	Loss 2.5213 (2.6102)	Prec@1 36.719 (37.179)	Prec@5 66.797 (67.194)
Epoch: [67][450/7045]	Time 0.106 (0.265)	Data 0.007 (0.202)	Loss 2.6073 (2.6089)	Prec@1 36.328 (37.169)	Prec@5 69.141 (67.196)
Epoch: [67][460/7045]	Time 0.442 (0.265)	Data 0.391 (0.201)	Loss 2.5638 (2.6091)	Prec@1 38.672 (37.152)	Prec@5 70.703 (67.198)
Epoch: [67][470/7045]	Time 0.117 (0.264)	Data 0.058 (0.201)	Loss 2.6072 (2.6086)	Prec@1 40.625 (37.165)	Prec@5 64.062 (67.192)
Epoch: [67][480/7045]	Time 1.431 (0.266)	Data 1.378 (0.202)	Loss 2.3874 (2.6084)	Prec@1 40.234 (37.169)	Prec@5 72.656 (67.188)
Epoch: [67][490/7045]	Time 0.099 (0.266)	Data 0.001 (0.202)	Loss 2.6152 (2.6087)	Prec@1 36.719 (37.160)	Prec@5 66.797 (67.201)
Epoch: [67][500/7045]	Time 0.645 (0.266)	Data 0.592 (0.202)	Loss 2.6543 (2.6089)	Prec@1 34.766 (37.141)	Prec@5 66.016 (67.186)
Epoch: [67][510/7045]	Time 0.114 (0.265)	Data 0.055 (0.200)	Loss 2.5622 (2.6094)	Prec@1 43.359 (37.145)	Prec@5 68.359 (67.181)
Epoch: [67][520/7045]	Time 0.668 (0.265)	Data 0.616 (0.201)	Loss 2.6046 (2.6094)	Prec@1 42.578 (37.158)	Prec@5 67.578 (67.190)
Epoch: [67][530/7045]	Time 0.299 (0.264)	Data 0.248 (0.200)	Loss 2.5333 (2.6097)	Prec@1 40.625 (37.170)	Prec@5 67.188 (67.175)
Epoch: [67][540/7045]	Time 0.334 (0.264)	Data 0.277 (0.199)	Loss 2.7178 (2.6095)	Prec@1 38.672 (37.185)	Prec@5 66.016 (67.193)
Epoch: [67][550/7045]	Time 0.420 (0.264)	Data 0.370 (0.199)	Loss 2.6144 (2.6097)	Prec@1 33.984 (37.174)	Prec@5 69.531 (67.195)
Epoch: [67][560/7045]	Time 0.161 (0.263)	Data 0.110 (0.199)	Loss 2.6399 (2.6106)	Prec@1 34.766 (37.137)	Prec@5 68.750 (67.172)
Epoch: [67][570/7045]	Time 0.442 (0.263)	Data 0.390 (0.199)	Loss 2.6368 (2.6104)	Prec@1 37.500 (37.155)	Prec@5 64.062 (67.175)
Epoch: [67][580/7045]	Time 0.103 (0.262)	Data 0.052 (0.198)	Loss 2.4476 (2.6098)	Prec@1 41.797 (37.162)	Prec@5 67.969 (67.183)
Epoch: [67][590/7045]	Time 0.450 (0.262)	Data 0.398 (0.198)	Loss 2.5295 (2.6104)	Prec@1 39.453 (37.138)	Prec@5 66.797 (67.169)
Epoch: [67][600/7045]	Time 0.113 (0.262)	Data 0.054 (0.198)	Loss 2.5275 (2.6108)	Prec@1 37.109 (37.143)	Prec@5 66.797 (67.159)
Epoch: [67][610/7045]	Time 0.372 (0.261)	Data 0.320 (0.197)	Loss 2.7552 (2.6102)	Prec@1 35.938 (37.151)	Prec@5 63.672 (67.184)
Epoch: [67][620/7045]	Time 0.116 (0.261)	Data 0.065 (0.197)	Loss 2.4356 (2.6089)	Prec@1 39.844 (37.175)	Prec@5 66.406 (67.199)
Epoch: [67][630/7045]	Time 0.102 (0.261)	Data 0.004 (0.197)	Loss 2.6800 (2.6084)	Prec@1 39.062 (37.194)	Prec@5 64.453 (67.206)
Epoch: [67][640/7045]	Time 0.648 (0.261)	Data 0.591 (0.197)	Loss 2.6077 (2.6073)	Prec@1 40.625 (37.216)	Prec@5 65.625 (67.220)
Epoch: [67][650/7045]	Time 0.239 (0.261)	Data 0.189 (0.197)	Loss 2.6246 (2.6073)	Prec@1 42.188 (37.208)	Prec@5 66.406 (67.209)
Epoch: [67][660/7045]	Time 2.370 (0.263)	Data 2.319 (0.200)	Loss 2.7942 (2.6070)	Prec@1 34.766 (37.233)	Prec@5 63.281 (67.214)
Epoch: [67][670/7045]	Time 0.137 (0.263)	Data 0.086 (0.200)	Loss 2.5333 (2.6076)	Prec@1 37.891 (37.246)	Prec@5 64.453 (67.179)
Epoch: [67][680/7045]	Time 0.500 (0.263)	Data 0.448 (0.200)	Loss 2.6127 (2.6083)	Prec@1 35.938 (37.260)	Prec@5 68.750 (67.151)
Epoch: [67][690/7045]	Time 0.102 (0.263)	Data 0.048 (0.199)	Loss 2.8319 (2.6083)	Prec@1 32.422 (37.247)	Prec@5 61.328 (67.134)
Epoch: [67][700/7045]	Time 0.310 (0.263)	Data 0.259 (0.199)	Loss 2.3888 (2.6087)	Prec@1 42.578 (37.238)	Prec@5 73.047 (67.121)
Epoch: [67][710/7045]	Time 0.127 (0.262)	Data 0.076 (0.199)	Loss 2.5337 (2.6078)	Prec@1 36.328 (37.269)	Prec@5 69.531 (67.128)
Epoch: [67][720/7045]	Time 0.150 (0.263)	Data 0.100 (0.200)	Loss 2.7224 (2.6077)	Prec@1 36.328 (37.263)	Prec@5 64.844 (67.130)
Epoch: [67][730/7045]	Time 0.109 (0.263)	Data 0.001 (0.200)	Loss 2.5027 (2.6078)	Prec@1 39.062 (37.274)	Prec@5 69.531 (67.127)
Epoch: [67][740/7045]	Time 0.102 (0.263)	Data 0.051 (0.200)	Loss 2.4789 (2.6071)	Prec@1 40.625 (37.290)	Prec@5 70.312 (67.133)
Epoch: [67][750/7045]	Time 0.331 (0.263)	Data 0.274 (0.200)	Loss 2.6814 (2.6076)	Prec@1 37.500 (37.282)	Prec@5 64.453 (67.109)
Epoch: [67][760/7045]	Time 0.430 (0.263)	Data 0.374 (0.200)	Loss 2.4675 (2.6073)	Prec@1 41.406 (37.296)	Prec@5 71.094 (67.105)
Epoch: [67][770/7045]	Time 0.242 (0.262)	Data 0.192 (0.199)	Loss 2.6793 (2.6071)	Prec@1 35.547 (37.292)	Prec@5 64.453 (67.106)
Epoch: [67][780/7045]	Time 0.426 (0.262)	Data 0.375 (0.199)	Loss 2.6935 (2.6078)	Prec@1 32.422 (37.274)	Prec@5 67.578 (67.082)
Epoch: [67][790/7045]	Time 0.102 (0.262)	Data 0.009 (0.198)	Loss 2.7008 (2.6074)	Prec@1 37.891 (37.274)	Prec@5 62.891 (67.091)
Epoch: [67][800/7045]	Time 0.480 (0.262)	Data 0.429 (0.199)	Loss 2.8155 (2.6075)	Prec@1 33.203 (37.266)	Prec@5 65.625 (67.086)
Epoch: [67][810/7045]	Time 0.103 (0.261)	Data 0.008 (0.198)	Loss 2.5058 (2.6074)	Prec@1 37.109 (37.270)	Prec@5 70.312 (67.084)
Epoch: [67][820/7045]	Time 0.516 (0.264)	Data 0.465 (0.201)	Loss 2.5729 (2.6077)	Prec@1 37.891 (37.261)	Prec@5 69.922 (67.079)
Epoch: [67][830/7045]	Time 0.154 (0.264)	Data 0.102 (0.200)	Loss 2.6822 (2.6075)	Prec@1 40.625 (37.268)	Prec@5 65.234 (67.078)
Epoch: [67][840/7045]	Time 0.546 (0.264)	Data 0.494 (0.200)	Loss 2.7034 (2.6077)	Prec@1 33.984 (37.263)	Prec@5 66.406 (67.069)
Epoch: [67][850/7045]	Time 0.103 (0.263)	Data 0.001 (0.200)	Loss 2.7679 (2.6077)	Prec@1 32.031 (37.264)	Prec@5 62.891 (67.051)
Epoch: [67][860/7045]	Time 0.409 (0.263)	Data 0.351 (0.200)	Loss 2.4999 (2.6071)	Prec@1 35.156 (37.267)	Prec@5 69.141 (67.062)
Epoch: [67][870/7045]	Time 0.103 (0.263)	Data 0.001 (0.199)	Loss 2.4909 (2.6063)	Prec@1 38.672 (37.284)	Prec@5 69.922 (67.084)
Epoch: [67][880/7045]	Time 0.220 (0.263)	Data 0.168 (0.199)	Loss 2.5228 (2.6057)	Prec@1 38.281 (37.296)	Prec@5 69.922 (67.097)
Epoch: [67][890/7045]	Time 0.216 (0.264)	Data 0.165 (0.200)	Loss 2.6345 (2.6063)	Prec@1 33.594 (37.289)	Prec@5 64.844 (67.077)
Epoch: [67][900/7045]	Time 0.188 (0.264)	Data 0.138 (0.200)	Loss 2.5789 (2.6062)	Prec@1 36.719 (37.288)	Prec@5 67.969 (67.074)
Epoch: [67][910/7045]	Time 0.223 (0.263)	Data 0.172 (0.200)	Loss 2.5880 (2.6063)	Prec@1 37.109 (37.291)	Prec@5 69.531 (67.079)
Epoch: [67][920/7045]	Time 0.110 (0.263)	Data 0.001 (0.200)	Loss 2.7925 (2.6067)	Prec@1 32.422 (37.282)	Prec@5 60.547 (67.069)
Epoch: [67][930/7045]	Time 0.101 (0.263)	Data 0.009 (0.199)	Loss 2.6694 (2.6065)	Prec@1 36.719 (37.283)	Prec@5 64.453 (67.071)
Epoch: [67][940/7045]	Time 0.103 (0.263)	Data 0.001 (0.199)	Loss 2.6073 (2.6060)	Prec@1 39.453 (37.279)	Prec@5 65.625 (67.079)
Epoch: [67][950/7045]	Time 0.102 (0.263)	Data 0.008 (0.199)	Loss 2.4626 (2.6061)	Prec@1 41.016 (37.281)	Prec@5 67.188 (67.082)
Epoch: [67][960/7045]	Time 0.103 (0.263)	Data 0.006 (0.199)	Loss 2.7678 (2.6063)	Prec@1 34.375 (37.264)	Prec@5 63.281 (67.083)
Epoch: [67][970/7045]	Time 0.172 (0.262)	Data 0.121 (0.199)	Loss 2.6993 (2.6069)	Prec@1 39.844 (37.259)	Prec@5 64.453 (67.073)
Epoch: [67][980/7045]	Time 0.119 (0.262)	Data 0.067 (0.199)	Loss 2.5920 (2.6067)	Prec@1 37.891 (37.252)	Prec@5 67.578 (67.086)
Epoch: [67][990/7045]	Time 0.355 (0.262)	Data 0.305 (0.199)	Loss 2.5705 (2.6069)	Prec@1 38.281 (37.255)	Prec@5 67.578 (67.078)
Epoch: [67][1000/7045]	Time 0.133 (0.262)	Data 0.082 (0.198)	Loss 2.5942 (2.6071)	Prec@1 39.062 (37.258)	Prec@5 70.312 (67.069)
Epoch: [67][1010/7045]	Time 0.545 (0.262)	Data 0.493 (0.198)	Loss 2.7653 (2.6065)	Prec@1 32.812 (37.270)	Prec@5 66.406 (67.080)
Epoch: [67][1020/7045]	Time 0.103 (0.261)	Data 0.005 (0.198)	Loss 2.6105 (2.6061)	Prec@1 37.500 (37.280)	Prec@5 65.234 (67.094)
Epoch: [67][1030/7045]	Time 0.552 (0.261)	Data 0.495 (0.198)	Loss 2.4632 (2.6062)	Prec@1 41.016 (37.288)	Prec@5 70.312 (67.094)
Epoch: [67][1040/7045]	Time 0.177 (0.261)	Data 0.126 (0.198)	Loss 2.5470 (2.6061)	Prec@1 39.453 (37.288)	Prec@5 65.234 (67.097)
Epoch: [67][1050/7045]	Time 0.355 (0.261)	Data 0.304 (0.198)	Loss 2.6499 (2.6061)	Prec@1 39.453 (37.287)	Prec@5 67.188 (67.104)
Epoch: [67][1060/7045]	Time 0.449 (0.261)	Data 0.399 (0.198)	Loss 2.7083 (2.6060)	Prec@1 35.938 (37.302)	Prec@5 63.281 (67.102)
Epoch: [67][1070/7045]	Time 0.338 (0.261)	Data 0.287 (0.197)	Loss 2.6552 (2.6062)	Prec@1 33.984 (37.300)	Prec@5 66.406 (67.102)
Epoch: [67][1080/7045]	Time 0.458 (0.261)	Data 0.401 (0.197)	Loss 2.6443 (2.6067)	Prec@1 38.281 (37.299)	Prec@5 70.703 (67.101)
Epoch: [67][1090/7045]	Time 0.238 (0.262)	Data 0.187 (0.198)	Loss 2.4056 (2.6067)	Prec@1 40.625 (37.292)	Prec@5 71.484 (67.101)
Epoch: [67][1100/7045]	Time 0.555 (0.262)	Data 0.503 (0.198)	Loss 2.6566 (2.6069)	Prec@1 36.719 (37.293)	Prec@5 65.625 (67.094)
Epoch: [67][1110/7045]	Time 0.102 (0.261)	Data 0.001 (0.198)	Loss 2.6202 (2.6069)	Prec@1 41.016 (37.288)	Prec@5 65.625 (67.097)
Epoch: [67][1120/7045]	Time 0.494 (0.261)	Data 0.443 (0.198)	Loss 2.5754 (2.6072)	Prec@1 36.719 (37.277)	Prec@5 69.141 (67.086)
Epoch: [67][1130/7045]	Time 0.097 (0.261)	Data 0.001 (0.197)	Loss 2.5040 (2.6070)	Prec@1 38.281 (37.286)	Prec@5 70.703 (67.093)
Epoch: [67][1140/7045]	Time 0.612 (0.261)	Data 0.561 (0.197)	Loss 2.3481 (2.6071)	Prec@1 41.797 (37.270)	Prec@5 75.391 (67.097)
Epoch: [67][1150/7045]	Time 0.102 (0.261)	Data 0.003 (0.197)	Loss 2.6997 (2.6071)	Prec@1 40.234 (37.273)	Prec@5 65.234 (67.094)
Epoch: [67][1160/7045]	Time 0.652 (0.261)	Data 0.593 (0.197)	Loss 2.5475 (2.6067)	Prec@1 38.281 (37.287)	Prec@5 68.359 (67.105)
Epoch: [67][1170/7045]	Time 0.101 (0.260)	Data 0.001 (0.196)	Loss 2.6745 (2.6069)	Prec@1 33.984 (37.286)	Prec@5 64.062 (67.097)
Epoch: [67][1180/7045]	Time 0.647 (0.260)	Data 0.595 (0.196)	Loss 2.5320 (2.6071)	Prec@1 36.719 (37.285)	Prec@5 65.625 (67.089)
Epoch: [67][1190/7045]	Time 0.102 (0.261)	Data 0.001 (0.196)	Loss 2.6298 (2.6072)	Prec@1 36.328 (37.283)	Prec@5 70.312 (67.094)
Epoch: [67][1200/7045]	Time 0.519 (0.261)	Data 0.464 (0.196)	Loss 2.8082 (2.6073)	Prec@1 35.938 (37.278)	Prec@5 62.500 (67.100)
Epoch: [67][1210/7045]	Time 0.130 (0.260)	Data 0.079 (0.196)	Loss 2.6487 (2.6071)	Prec@1 35.547 (37.281)	Prec@5 70.312 (67.109)
Epoch: [67][1220/7045]	Time 0.294 (0.260)	Data 0.242 (0.196)	Loss 2.5679 (2.6069)	Prec@1 39.844 (37.286)	Prec@5 69.922 (67.110)
Epoch: [67][1230/7045]	Time 0.104 (0.260)	Data 0.046 (0.196)	Loss 2.5786 (2.6067)	Prec@1 36.719 (37.294)	Prec@5 69.922 (67.113)
Epoch: [67][1240/7045]	Time 0.101 (0.260)	Data 0.044 (0.196)	Loss 2.4730 (2.6068)	Prec@1 42.969 (37.286)	Prec@5 69.141 (67.110)
Epoch: [67][1250/7045]	Time 0.118 (0.260)	Data 0.066 (0.196)	Loss 2.5789 (2.6070)	Prec@1 36.719 (37.285)	Prec@5 69.141 (67.112)
Epoch: [67][1260/7045]	Time 0.236 (0.260)	Data 0.187 (0.196)	Loss 2.7560 (2.6070)	Prec@1 37.109 (37.293)	Prec@5 64.062 (67.109)
Epoch: [67][1270/7045]	Time 0.300 (0.261)	Data 0.243 (0.197)	Loss 2.3957 (2.6067)	Prec@1 42.188 (37.295)	Prec@5 69.922 (67.113)
Epoch: [67][1280/7045]	Time 0.205 (0.261)	Data 0.154 (0.197)	Loss 2.6369 (2.6069)	Prec@1 34.766 (37.291)	Prec@5 69.922 (67.121)
Epoch: [67][1290/7045]	Time 0.215 (0.261)	Data 0.164 (0.197)	Loss 2.3665 (2.6066)	Prec@1 46.484 (37.291)	Prec@5 68.750 (67.129)
Epoch: [67][1300/7045]	Time 0.112 (0.261)	Data 0.060 (0.197)	Loss 2.6143 (2.6062)	Prec@1 33.203 (37.300)	Prec@5 67.188 (67.136)
Epoch: [67][1310/7045]	Time 0.152 (0.260)	Data 0.101 (0.197)	Loss 2.5079 (2.6066)	Prec@1 41.016 (37.302)	Prec@5 70.312 (67.134)
Epoch: [67][1320/7045]	Time 0.302 (0.261)	Data 0.251 (0.197)	Loss 2.5402 (2.6066)	Prec@1 37.891 (37.307)	Prec@5 66.406 (67.133)
Epoch: [67][1330/7045]	Time 0.111 (0.260)	Data 0.060 (0.196)	Loss 2.7372 (2.6071)	Prec@1 35.938 (37.293)	Prec@5 62.891 (67.115)
Epoch: [67][1340/7045]	Time 0.570 (0.261)	Data 0.519 (0.197)	Loss 2.4584 (2.6074)	Prec@1 42.578 (37.291)	Prec@5 70.703 (67.117)
Epoch: [67][1350/7045]	Time 0.153 (0.261)	Data 0.102 (0.197)	Loss 2.6858 (2.6072)	Prec@1 37.500 (37.292)	Prec@5 64.453 (67.122)
Epoch: [67][1360/7045]	Time 0.584 (0.261)	Data 0.526 (0.197)	Loss 2.5352 (2.6077)	Prec@1 36.328 (37.279)	Prec@5 68.750 (67.113)
Epoch: [67][1370/7045]	Time 0.123 (0.261)	Data 0.073 (0.197)	Loss 2.3831 (2.6076)	Prec@1 39.453 (37.279)	Prec@5 71.094 (67.113)
Epoch: [67][1380/7045]	Time 0.305 (0.261)	Data 0.255 (0.197)	Loss 2.4936 (2.6074)	Prec@1 39.062 (37.281)	Prec@5 68.359 (67.114)
Epoch: [67][1390/7045]	Time 0.103 (0.261)	Data 0.011 (0.197)	Loss 2.5168 (2.6073)	Prec@1 40.234 (37.276)	Prec@5 67.578 (67.113)
Epoch: [67][1400/7045]	Time 0.158 (0.260)	Data 0.108 (0.197)	Loss 2.6685 (2.6077)	Prec@1 34.375 (37.269)	Prec@5 65.234 (67.105)
Epoch: [67][1410/7045]	Time 0.102 (0.260)	Data 0.001 (0.197)	Loss 2.7615 (2.6074)	Prec@1 35.938 (37.274)	Prec@5 63.281 (67.117)
Epoch: [67][1420/7045]	Time 0.109 (0.260)	Data 0.056 (0.197)	Loss 2.6924 (2.6074)	Prec@1 40.625 (37.272)	Prec@5 65.625 (67.120)
Epoch: [67][1430/7045]	Time 0.108 (0.260)	Data 0.003 (0.197)	Loss 2.7063 (2.6075)	Prec@1 35.938 (37.273)	Prec@5 68.359 (67.118)
Epoch: [67][1440/7045]	Time 0.125 (0.260)	Data 0.074 (0.197)	Loss 2.6089 (2.6078)	Prec@1 36.328 (37.268)	Prec@5 66.406 (67.109)
Epoch: [67][1450/7045]	Time 0.108 (0.260)	Data 0.056 (0.197)	Loss 2.2253 (2.6077)	Prec@1 44.531 (37.264)	Prec@5 75.781 (67.115)
Epoch: [67][1460/7045]	Time 0.110 (0.262)	Data 0.057 (0.198)	Loss 2.6858 (2.6077)	Prec@1 34.766 (37.261)	Prec@5 64.453 (67.119)
Epoch: [67][1470/7045]	Time 0.322 (0.262)	Data 0.265 (0.198)	Loss 2.6948 (2.6074)	Prec@1 37.500 (37.265)	Prec@5 64.844 (67.116)
Epoch: [67][1480/7045]	Time 0.101 (0.262)	Data 0.001 (0.198)	Loss 2.7237 (2.6077)	Prec@1 31.250 (37.262)	Prec@5 62.891 (67.112)
Epoch: [67][1490/7045]	Time 0.251 (0.262)	Data 0.200 (0.198)	Loss 2.4800 (2.6080)	Prec@1 39.062 (37.255)	Prec@5 71.484 (67.108)
Epoch: [67][1500/7045]	Time 0.102 (0.262)	Data 0.001 (0.198)	Loss 2.4232 (2.6080)	Prec@1 38.672 (37.248)	Prec@5 71.484 (67.113)
Epoch: [67][1510/7045]	Time 0.279 (0.261)	Data 0.227 (0.198)	Loss 2.2863 (2.6081)	Prec@1 45.312 (37.246)	Prec@5 72.656 (67.110)
Epoch: [67][1520/7045]	Time 0.115 (0.261)	Data 0.056 (0.198)	Loss 2.6079 (2.6082)	Prec@1 42.188 (37.253)	Prec@5 66.406 (67.106)
Epoch: [67][1530/7045]	Time 0.286 (0.262)	Data 0.236 (0.199)	Loss 2.7039 (2.6079)	Prec@1 34.766 (37.251)	Prec@5 64.453 (67.104)
Epoch: [67][1540/7045]	Time 0.212 (0.262)	Data 0.160 (0.199)	Loss 2.5786 (2.6079)	Prec@1 35.547 (37.252)	Prec@5 68.359 (67.100)
Epoch: [67][1550/7045]	Time 0.295 (0.262)	Data 0.244 (0.199)	Loss 2.6015 (2.6083)	Prec@1 37.500 (37.241)	Prec@5 63.672 (67.094)
Epoch: [67][1560/7045]	Time 0.254 (0.262)	Data 0.204 (0.199)	Loss 2.5410 (2.6078)	Prec@1 39.844 (37.243)	Prec@5 66.016 (67.098)
Epoch: [67][1570/7045]	Time 0.148 (0.262)	Data 0.097 (0.199)	Loss 2.7781 (2.6080)	Prec@1 35.547 (37.248)	Prec@5 63.672 (67.098)
Epoch: [67][1580/7045]	Time 0.273 (0.262)	Data 0.220 (0.198)	Loss 2.7685 (2.6078)	Prec@1 32.422 (37.247)	Prec@5 65.234 (67.107)
Epoch: [67][1590/7045]	Time 0.154 (0.262)	Data 0.103 (0.198)	Loss 2.6980 (2.6083)	Prec@1 39.844 (37.242)	Prec@5 67.188 (67.104)
Epoch: [67][1600/7045]	Time 0.223 (0.261)	Data 0.172 (0.198)	Loss 2.5941 (2.6082)	Prec@1 37.891 (37.247)	Prec@5 68.359 (67.104)
Epoch: [67][1610/7045]	Time 0.232 (0.261)	Data 0.179 (0.198)	Loss 2.6682 (2.6079)	Prec@1 37.109 (37.260)	Prec@5 67.578 (67.108)
Epoch: [67][1620/7045]	Time 1.387 (0.262)	Data 1.336 (0.199)	Loss 2.6280 (2.6081)	Prec@1 37.109 (37.261)	Prec@5 67.188 (67.104)
Epoch: [67][1630/7045]	Time 0.198 (0.262)	Data 0.147 (0.199)	Loss 2.6237 (2.6079)	Prec@1 37.500 (37.266)	Prec@5 64.062 (67.107)
Epoch: [67][1640/7045]	Time 0.261 (0.262)	Data 0.210 (0.199)	Loss 2.2470 (2.6073)	Prec@1 41.797 (37.272)	Prec@5 75.391 (67.120)
Epoch: [67][1650/7045]	Time 0.105 (0.262)	Data 0.053 (0.199)	Loss 2.5702 (2.6075)	Prec@1 35.547 (37.268)	Prec@5 63.672 (67.121)
Epoch: [67][1660/7045]	Time 0.427 (0.262)	Data 0.376 (0.198)	Loss 2.5889 (2.6074)	Prec@1 37.500 (37.268)	Prec@5 64.844 (67.119)
Epoch: [67][1670/7045]	Time 0.156 (0.261)	Data 0.105 (0.198)	Loss 2.4349 (2.6073)	Prec@1 39.844 (37.270)	Prec@5 69.141 (67.126)
Epoch: [67][1680/7045]	Time 0.325 (0.261)	Data 0.273 (0.198)	Loss 2.6905 (2.6074)	Prec@1 35.938 (37.277)	Prec@5 65.234 (67.120)
Epoch: [67][1690/7045]	Time 0.103 (0.261)	Data 0.005 (0.198)	Loss 2.6255 (2.6072)	Prec@1 33.203 (37.278)	Prec@5 66.016 (67.125)
Epoch: [67][1700/7045]	Time 0.275 (0.261)	Data 0.224 (0.198)	Loss 2.4313 (2.6072)	Prec@1 38.281 (37.276)	Prec@5 71.484 (67.124)
Epoch: [67][1710/7045]	Time 0.102 (0.261)	Data 0.048 (0.198)	Loss 2.3504 (2.6070)	Prec@1 41.016 (37.275)	Prec@5 70.703 (67.126)
Epoch: [67][1720/7045]	Time 0.263 (0.262)	Data 0.211 (0.198)	Loss 2.7267 (2.6071)	Prec@1 38.281 (37.272)	Prec@5 61.719 (67.122)
Epoch: [67][1730/7045]	Time 0.102 (0.262)	Data 0.007 (0.198)	Loss 2.5172 (2.6070)	Prec@1 37.891 (37.278)	Prec@5 70.312 (67.119)
Epoch: [67][1740/7045]	Time 0.129 (0.262)	Data 0.078 (0.198)	Loss 2.5516 (2.6069)	Prec@1 39.844 (37.280)	Prec@5 66.406 (67.120)
Epoch: [67][1750/7045]	Time 0.102 (0.261)	Data 0.004 (0.198)	Loss 2.6989 (2.6072)	Prec@1 36.719 (37.274)	Prec@5 66.016 (67.118)
Epoch: [67][1760/7045]	Time 0.104 (0.261)	Data 0.052 (0.198)	Loss 2.6258 (2.6071)	Prec@1 39.062 (37.275)	Prec@5 68.359 (67.121)
Epoch: [67][1770/7045]	Time 0.103 (0.261)	Data 0.006 (0.198)	Loss 2.5977 (2.6071)	Prec@1 34.766 (37.281)	Prec@5 66.797 (67.120)
Epoch: [67][1780/7045]	Time 0.110 (0.261)	Data 0.059 (0.198)	Loss 2.6390 (2.6072)	Prec@1 35.156 (37.281)	Prec@5 69.141 (67.116)
Epoch: [67][1790/7045]	Time 0.102 (0.261)	Data 0.004 (0.198)	Loss 2.5090 (2.6069)	Prec@1 35.938 (37.278)	Prec@5 65.625 (67.124)
Epoch: [67][1800/7045]	Time 0.117 (0.261)	Data 0.065 (0.198)	Loss 2.8313 (2.6069)	Prec@1 33.984 (37.277)	Prec@5 60.938 (67.122)
Epoch: [67][1810/7045]	Time 0.102 (0.261)	Data 0.005 (0.198)	Loss 2.4725 (2.6069)	Prec@1 42.188 (37.274)	Prec@5 71.875 (67.124)
Epoch: [67][1820/7045]	Time 0.156 (0.262)	Data 0.105 (0.198)	Loss 2.3802 (2.6067)	Prec@1 42.969 (37.276)	Prec@5 74.219 (67.131)
Epoch: [67][1830/7045]	Time 0.348 (0.262)	Data 0.298 (0.198)	Loss 2.6930 (2.6066)	Prec@1 38.672 (37.285)	Prec@5 65.625 (67.130)
Epoch: [67][1840/7045]	Time 0.120 (0.261)	Data 0.069 (0.198)	Loss 2.4019 (2.6064)	Prec@1 42.188 (37.292)	Prec@5 70.703 (67.131)
Epoch: [67][1850/7045]	Time 0.170 (0.262)	Data 0.120 (0.198)	Loss 2.3057 (2.6063)	Prec@1 44.922 (37.297)	Prec@5 68.750 (67.133)
Epoch: [67][1860/7045]	Time 0.102 (0.261)	Data 0.004 (0.198)	Loss 2.5326 (2.6063)	Prec@1 37.109 (37.296)	Prec@5 73.047 (67.130)
Epoch: [67][1870/7045]	Time 0.101 (0.261)	Data 0.001 (0.198)	Loss 2.6291 (2.6062)	Prec@1 37.109 (37.299)	Prec@5 67.188 (67.139)
Epoch: [67][1880/7045]	Time 0.105 (0.261)	Data 0.050 (0.198)	Loss 2.5216 (2.6059)	Prec@1 35.938 (37.303)	Prec@5 70.312 (67.146)
Epoch: [67][1890/7045]	Time 0.110 (0.261)	Data 0.001 (0.198)	Loss 2.6684 (2.6061)	Prec@1 37.109 (37.301)	Prec@5 65.625 (67.139)
Epoch: [67][1900/7045]	Time 0.188 (0.261)	Data 0.137 (0.198)	Loss 2.4883 (2.6060)	Prec@1 36.719 (37.296)	Prec@5 69.531 (67.142)
Epoch: [67][1910/7045]	Time 0.228 (0.262)	Data 0.177 (0.199)	Loss 2.6005 (2.6061)	Prec@1 38.672 (37.297)	Prec@5 67.188 (67.134)
Epoch: [67][1920/7045]	Time 0.102 (0.262)	Data 0.003 (0.198)	Loss 2.5311 (2.6061)	Prec@1 34.375 (37.296)	Prec@5 66.797 (67.135)
Epoch: [67][1930/7045]	Time 0.128 (0.262)	Data 0.076 (0.198)	Loss 2.6091 (2.6062)	Prec@1 36.328 (37.294)	Prec@5 68.750 (67.133)
Epoch: [67][1940/7045]	Time 0.108 (0.261)	Data 0.056 (0.198)	Loss 2.4596 (2.6058)	Prec@1 39.062 (37.305)	Prec@5 68.750 (67.140)
Epoch: [67][1950/7045]	Time 0.109 (0.262)	Data 0.005 (0.198)	Loss 2.7684 (2.6060)	Prec@1 35.938 (37.304)	Prec@5 65.234 (67.136)
Epoch: [67][1960/7045]	Time 0.243 (0.261)	Data 0.193 (0.198)	Loss 2.5031 (2.6060)	Prec@1 39.062 (37.307)	Prec@5 68.359 (67.133)
Epoch: [67][1970/7045]	Time 0.101 (0.261)	Data 0.007 (0.198)	Loss 2.4667 (2.6056)	Prec@1 37.500 (37.315)	Prec@5 70.312 (67.137)
Epoch: [67][1980/7045]	Time 0.182 (0.261)	Data 0.132 (0.198)	Loss 2.5490 (2.6055)	Prec@1 37.109 (37.317)	Prec@5 70.703 (67.136)
Epoch: [67][1990/7045]	Time 0.099 (0.261)	Data 0.001 (0.198)	Loss 2.7290 (2.6056)	Prec@1 36.328 (37.313)	Prec@5 66.406 (67.130)
Epoch: [67][2000/7045]	Time 0.154 (0.261)	Data 0.104 (0.198)	Loss 2.3496 (2.6052)	Prec@1 43.359 (37.322)	Prec@5 75.000 (67.140)
Epoch: [67][2010/7045]	Time 0.108 (0.262)	Data 0.006 (0.198)	Loss 2.6969 (2.6054)	Prec@1 35.938 (37.319)	Prec@5 66.406 (67.140)
Epoch: [67][2020/7045]	Time 0.099 (0.261)	Data 0.045 (0.198)	Loss 2.5014 (2.6051)	Prec@1 44.141 (37.327)	Prec@5 71.094 (67.150)
Epoch: [67][2030/7045]	Time 0.133 (0.261)	Data 0.082 (0.198)	Loss 2.6309 (2.6051)	Prec@1 36.719 (37.328)	Prec@5 66.016 (67.151)
Epoch: [67][2040/7045]	Time 0.103 (0.261)	Data 0.005 (0.198)	Loss 2.5326 (2.6050)	Prec@1 35.547 (37.331)	Prec@5 70.312 (67.149)
Epoch: [67][2050/7045]	Time 0.103 (0.261)	Data 0.051 (0.198)	Loss 2.5682 (2.6049)	Prec@1 41.406 (37.333)	Prec@5 69.922 (67.153)
Epoch: [67][2060/7045]	Time 0.102 (0.261)	Data 0.001 (0.198)	Loss 2.8297 (2.6051)	Prec@1 35.938 (37.332)	Prec@5 65.625 (67.151)
Epoch: [67][2070/7045]	Time 0.106 (0.261)	Data 0.054 (0.198)	Loss 2.6819 (2.6051)	Prec@1 35.547 (37.331)	Prec@5 66.797 (67.150)
Epoch: [67][2080/7045]	Time 0.102 (0.261)	Data 0.005 (0.198)	Loss 2.6093 (2.6050)	Prec@1 36.328 (37.332)	Prec@5 67.969 (67.157)
Epoch: [67][2090/7045]	Time 0.108 (0.262)	Data 0.003 (0.199)	Loss 2.7159 (2.6050)	Prec@1 37.891 (37.337)	Prec@5 64.844 (67.156)
Epoch: [67][2100/7045]	Time 0.102 (0.262)	Data 0.002 (0.198)	Loss 2.6185 (2.6050)	Prec@1 37.891 (37.335)	Prec@5 66.797 (67.150)
Epoch: [67][2110/7045]	Time 0.140 (0.262)	Data 0.089 (0.198)	Loss 2.3476 (2.6049)	Prec@1 45.312 (37.339)	Prec@5 71.094 (67.146)
Epoch: [67][2120/7045]	Time 0.103 (0.262)	Data 0.001 (0.198)	Loss 2.7038 (2.6049)	Prec@1 30.469 (37.340)	Prec@5 67.188 (67.148)
Epoch: [67][2130/7045]	Time 0.244 (0.262)	Data 0.193 (0.198)	Loss 2.5257 (2.6048)	Prec@1 35.156 (37.341)	Prec@5 67.969 (67.148)
Epoch: [67][2140/7045]	Time 0.102 (0.262)	Data 0.001 (0.198)	Loss 2.4306 (2.6049)	Prec@1 38.281 (37.336)	Prec@5 70.703 (67.146)
Epoch: [67][2150/7045]	Time 0.402 (0.262)	Data 0.344 (0.198)	Loss 2.9478 (2.6050)	Prec@1 32.031 (37.336)	Prec@5 59.766 (67.146)
Epoch: [67][2160/7045]	Time 0.102 (0.262)	Data 0.006 (0.198)	Loss 2.7848 (2.6051)	Prec@1 33.203 (37.333)	Prec@5 61.328 (67.140)
Epoch: [67][2170/7045]	Time 0.329 (0.262)	Data 0.278 (0.198)	Loss 2.4622 (2.6052)	Prec@1 39.062 (37.331)	Prec@5 68.359 (67.137)
Epoch: [67][2180/7045]	Time 0.109 (0.262)	Data 0.002 (0.198)	Loss 2.5583 (2.6050)	Prec@1 42.578 (37.337)	Prec@5 65.625 (67.140)
Epoch: [67][2190/7045]	Time 0.378 (0.262)	Data 0.325 (0.198)	Loss 2.8990 (2.6050)	Prec@1 33.984 (37.337)	Prec@5 64.062 (67.141)
Epoch: [67][2200/7045]	Time 0.133 (0.262)	Data 0.075 (0.198)	Loss 2.3913 (2.6053)	Prec@1 40.625 (37.328)	Prec@5 66.797 (67.128)
Epoch: [67][2210/7045]	Time 0.333 (0.262)	Data 0.281 (0.198)	Loss 2.6279 (2.6054)	Prec@1 36.328 (37.320)	Prec@5 67.969 (67.126)
Epoch: [67][2220/7045]	Time 0.396 (0.262)	Data 0.343 (0.198)	Loss 2.5497 (2.6050)	Prec@1 39.062 (37.323)	Prec@5 67.578 (67.133)
Epoch: [67][2230/7045]	Time 0.263 (0.262)	Data 0.212 (0.199)	Loss 2.4517 (2.6052)	Prec@1 38.672 (37.321)	Prec@5 73.047 (67.130)
Epoch: [67][2240/7045]	Time 0.389 (0.262)	Data 0.337 (0.199)	Loss 2.6697 (2.6053)	Prec@1 34.766 (37.320)	Prec@5 62.891 (67.127)
Epoch: [67][2250/7045]	Time 0.277 (0.262)	Data 0.226 (0.199)	Loss 2.7168 (2.6055)	Prec@1 35.156 (37.315)	Prec@5 67.969 (67.117)
Epoch: [67][2260/7045]	Time 0.167 (0.262)	Data 0.115 (0.198)	Loss 2.5891 (2.6057)	Prec@1 36.328 (37.308)	Prec@5 67.578 (67.115)
Epoch: [67][2270/7045]	Time 0.198 (0.262)	Data 0.147 (0.198)	Loss 2.7881 (2.6059)	Prec@1 35.547 (37.306)	Prec@5 64.844 (67.117)
Epoch: [67][2280/7045]	Time 0.103 (0.262)	Data 0.051 (0.198)	Loss 2.6323 (2.6059)	Prec@1 34.375 (37.304)	Prec@5 64.844 (67.116)
Epoch: [67][2290/7045]	Time 0.107 (0.262)	Data 0.007 (0.198)	Loss 2.5996 (2.6061)	Prec@1 35.156 (37.299)	Prec@5 65.625 (67.112)
Epoch: [67][2300/7045]	Time 0.196 (0.262)	Data 0.144 (0.198)	Loss 2.4999 (2.6059)	Prec@1 42.969 (37.310)	Prec@5 71.875 (67.117)
Epoch: [67][2310/7045]	Time 0.134 (0.262)	Data 0.082 (0.199)	Loss 2.7228 (2.6058)	Prec@1 33.594 (37.312)	Prec@5 65.625 (67.119)
Epoch: [67][2320/7045]	Time 0.177 (0.262)	Data 0.126 (0.199)	Loss 2.8129 (2.6057)	Prec@1 31.250 (37.308)	Prec@5 60.156 (67.117)
Epoch: [67][2330/7045]	Time 0.109 (0.262)	Data 0.057 (0.199)	Loss 2.5295 (2.6058)	Prec@1 39.062 (37.307)	Prec@5 66.406 (67.119)
Epoch: [67][2340/7045]	Time 0.187 (0.262)	Data 0.136 (0.199)	Loss 2.6095 (2.6057)	Prec@1 39.062 (37.313)	Prec@5 67.969 (67.126)
Epoch: [67][2350/7045]	Time 0.176 (0.262)	Data 0.125 (0.199)	Loss 2.4509 (2.6061)	Prec@1 41.406 (37.306)	Prec@5 71.094 (67.120)
Epoch: [67][2360/7045]	Time 0.241 (0.262)	Data 0.190 (0.199)	Loss 2.6524 (2.6061)	Prec@1 35.938 (37.306)	Prec@5 68.750 (67.126)
Epoch: [67][2370/7045]	Time 0.111 (0.262)	Data 0.060 (0.198)	Loss 2.7047 (2.6061)	Prec@1 40.234 (37.304)	Prec@5 64.453 (67.122)
Epoch: [67][2380/7045]	Time 0.135 (0.262)	Data 0.083 (0.198)	Loss 2.6386 (2.6060)	Prec@1 39.844 (37.307)	Prec@5 65.625 (67.120)
Epoch: [67][2390/7045]	Time 0.103 (0.261)	Data 0.004 (0.198)	Loss 2.5868 (2.6059)	Prec@1 35.547 (37.305)	Prec@5 67.969 (67.122)
Epoch: [67][2400/7045]	Time 0.102 (0.262)	Data 0.002 (0.198)	Loss 2.3554 (2.6061)	Prec@1 43.750 (37.306)	Prec@5 75.000 (67.120)
Epoch: [67][2410/7045]	Time 0.178 (0.262)	Data 0.126 (0.198)	Loss 2.7190 (2.6059)	Prec@1 37.500 (37.309)	Prec@5 62.891 (67.123)
Epoch: [67][2420/7045]	Time 0.100 (0.262)	Data 0.046 (0.198)	Loss 2.6003 (2.6060)	Prec@1 36.719 (37.306)	Prec@5 66.406 (67.121)
Epoch: [67][2430/7045]	Time 0.214 (0.261)	Data 0.163 (0.198)	Loss 2.6715 (2.6062)	Prec@1 33.594 (37.305)	Prec@5 69.141 (67.120)
Epoch: [67][2440/7045]	Time 0.108 (0.261)	Data 0.006 (0.198)	Loss 2.6473 (2.6060)	Prec@1 36.719 (37.310)	Prec@5 65.625 (67.122)
Epoch: [67][2450/7045]	Time 0.151 (0.261)	Data 0.100 (0.198)	Loss 2.4711 (2.6061)	Prec@1 40.234 (37.309)	Prec@5 71.484 (67.118)
Epoch: [67][2460/7045]	Time 0.168 (0.261)	Data 0.117 (0.198)	Loss 2.7081 (2.6065)	Prec@1 32.422 (37.305)	Prec@5 62.109 (67.106)
Epoch: [67][2470/7045]	Time 0.102 (0.261)	Data 0.048 (0.198)	Loss 2.6088 (2.6067)	Prec@1 37.109 (37.299)	Prec@5 67.188 (67.105)
Epoch: [67][2480/7045]	Time 0.244 (0.261)	Data 0.193 (0.198)	Loss 2.4505 (2.6067)	Prec@1 39.062 (37.299)	Prec@5 69.531 (67.104)
Epoch: [67][2490/7045]	Time 0.181 (0.261)	Data 0.131 (0.198)	Loss 3.0632 (2.6068)	Prec@1 32.812 (37.301)	Prec@5 58.594 (67.098)
Epoch: [67][2500/7045]	Time 0.244 (0.261)	Data 0.194 (0.198)	Loss 2.6711 (2.6069)	Prec@1 33.594 (37.295)	Prec@5 63.672 (67.094)
Epoch: [67][2510/7045]	Time 0.145 (0.261)	Data 0.095 (0.198)	Loss 2.4956 (2.6070)	Prec@1 37.109 (37.293)	Prec@5 69.531 (67.094)
Epoch: [67][2520/7045]	Time 0.268 (0.261)	Data 0.217 (0.198)	Loss 2.5329 (2.6067)	Prec@1 35.156 (37.292)	Prec@5 71.484 (67.099)
Epoch: [67][2530/7045]	Time 0.257 (0.261)	Data 0.206 (0.198)	Loss 2.4649 (2.6066)	Prec@1 37.500 (37.299)	Prec@5 74.219 (67.104)
Epoch: [67][2540/7045]	Time 0.164 (0.261)	Data 0.113 (0.198)	Loss 2.6302 (2.6067)	Prec@1 37.891 (37.298)	Prec@5 67.188 (67.103)
Epoch: [67][2550/7045]	Time 0.183 (0.261)	Data 0.132 (0.198)	Loss 2.6211 (2.6067)	Prec@1 33.203 (37.303)	Prec@5 66.797 (67.100)
Epoch: [67][2560/7045]	Time 0.103 (0.261)	Data 0.004 (0.198)	Loss 2.5225 (2.6066)	Prec@1 38.672 (37.305)	Prec@5 69.922 (67.104)
Epoch: [67][2570/7045]	Time 0.138 (0.261)	Data 0.085 (0.198)	Loss 2.8506 (2.6068)	Prec@1 33.984 (37.303)	Prec@5 62.109 (67.098)
Epoch: [67][2580/7045]	Time 0.178 (0.261)	Data 0.127 (0.198)	Loss 2.6890 (2.6066)	Prec@1 33.594 (37.301)	Prec@5 68.359 (67.101)
Epoch: [67][2590/7045]	Time 0.163 (0.261)	Data 0.112 (0.198)	Loss 2.3388 (2.6065)	Prec@1 38.672 (37.301)	Prec@5 73.047 (67.104)
Epoch: [67][2600/7045]	Time 0.108 (0.261)	Data 0.047 (0.198)	Loss 2.7792 (2.6065)	Prec@1 34.375 (37.301)	Prec@5 62.109 (67.104)
Epoch: [67][2610/7045]	Time 0.193 (0.261)	Data 0.142 (0.198)	Loss 2.5280 (2.6065)	Prec@1 39.453 (37.299)	Prec@5 69.531 (67.102)
Epoch: [67][2620/7045]	Time 0.159 (0.261)	Data 0.106 (0.198)	Loss 2.5935 (2.6068)	Prec@1 33.594 (37.298)	Prec@5 71.484 (67.098)
Epoch: [67][2630/7045]	Time 0.230 (0.261)	Data 0.180 (0.198)	Loss 2.5767 (2.6063)	Prec@1 37.891 (37.303)	Prec@5 68.750 (67.108)
Epoch: [67][2640/7045]	Time 0.327 (0.261)	Data 0.270 (0.198)	Loss 2.4829 (2.6062)	Prec@1 39.062 (37.306)	Prec@5 73.438 (67.111)
Epoch: [67][2650/7045]	Time 0.111 (0.261)	Data 0.059 (0.198)	Loss 2.7885 (2.6062)	Prec@1 35.547 (37.305)	Prec@5 64.062 (67.111)
Epoch: [67][2660/7045]	Time 0.322 (0.261)	Data 0.270 (0.198)	Loss 2.5257 (2.6060)	Prec@1 34.375 (37.309)	Prec@5 68.750 (67.116)
Epoch: [67][2670/7045]	Time 0.103 (0.261)	Data 0.050 (0.198)	Loss 2.4449 (2.6060)	Prec@1 40.625 (37.308)	Prec@5 71.094 (67.117)
Epoch: [67][2680/7045]	Time 0.438 (0.261)	Data 0.386 (0.198)	Loss 2.5129 (2.6060)	Prec@1 37.500 (37.309)	Prec@5 71.484 (67.121)
Epoch: [67][2690/7045]	Time 0.102 (0.261)	Data 0.005 (0.198)	Loss 2.8469 (2.6062)	Prec@1 32.422 (37.305)	Prec@5 64.453 (67.113)
Epoch: [67][2700/7045]	Time 0.290 (0.261)	Data 0.239 (0.198)	Loss 2.7912 (2.6062)	Prec@1 33.203 (37.304)	Prec@5 63.281 (67.115)
Epoch: [67][2710/7045]	Time 0.103 (0.261)	Data 0.003 (0.198)	Loss 2.4178 (2.6062)	Prec@1 39.453 (37.305)	Prec@5 70.312 (67.120)
Epoch: [67][2720/7045]	Time 0.182 (0.261)	Data 0.131 (0.198)	Loss 2.6235 (2.6062)	Prec@1 36.328 (37.303)	Prec@5 66.797 (67.118)
Epoch: [67][2730/7045]	Time 0.103 (0.261)	Data 0.052 (0.198)	Loss 2.5907 (2.6061)	Prec@1 35.156 (37.303)	Prec@5 67.969 (67.121)
Epoch: [67][2740/7045]	Time 0.179 (0.261)	Data 0.128 (0.198)	Loss 2.6387 (2.6059)	Prec@1 38.281 (37.311)	Prec@5 66.797 (67.125)
Epoch: [67][2750/7045]	Time 0.262 (0.261)	Data 0.212 (0.198)	Loss 2.5283 (2.6058)	Prec@1 35.156 (37.311)	Prec@5 67.969 (67.128)
Epoch: [67][2760/7045]	Time 0.320 (0.261)	Data 0.269 (0.198)	Loss 2.7327 (2.6058)	Prec@1 35.547 (37.315)	Prec@5 62.500 (67.124)
Epoch: [67][2770/7045]	Time 0.271 (0.261)	Data 0.218 (0.198)	Loss 2.5813 (2.6059)	Prec@1 38.281 (37.311)	Prec@5 67.578 (67.126)
Epoch: [67][2780/7045]	Time 0.505 (0.261)	Data 0.453 (0.198)	Loss 2.4785 (2.6058)	Prec@1 39.062 (37.314)	Prec@5 68.359 (67.126)
Epoch: [67][2790/7045]	Time 0.289 (0.261)	Data 0.231 (0.198)	Loss 2.5496 (2.6056)	Prec@1 37.500 (37.316)	Prec@5 67.578 (67.128)
Epoch: [67][2800/7045]	Time 0.444 (0.261)	Data 0.387 (0.198)	Loss 2.5849 (2.6056)	Prec@1 36.719 (37.316)	Prec@5 67.578 (67.125)
Epoch: [67][2810/7045]	Time 0.152 (0.261)	Data 0.100 (0.198)	Loss 2.6589 (2.6055)	Prec@1 32.031 (37.318)	Prec@5 64.844 (67.125)
Epoch: [67][2820/7045]	Time 0.568 (0.261)	Data 0.517 (0.198)	Loss 2.5466 (2.6052)	Prec@1 36.719 (37.324)	Prec@5 70.312 (67.131)
Epoch: [67][2830/7045]	Time 0.109 (0.261)	Data 0.004 (0.198)	Loss 2.6889 (2.6050)	Prec@1 34.375 (37.329)	Prec@5 64.062 (67.137)
Epoch: [67][2840/7045]	Time 0.594 (0.261)	Data 0.543 (0.198)	Loss 2.4335 (2.6048)	Prec@1 42.578 (37.334)	Prec@5 70.312 (67.139)
Epoch: [67][2850/7045]	Time 0.118 (0.260)	Data 0.061 (0.198)	Loss 2.4051 (2.6048)	Prec@1 41.016 (37.329)	Prec@5 71.875 (67.143)
Epoch: [67][2860/7045]	Time 0.548 (0.261)	Data 0.492 (0.198)	Loss 2.8361 (2.6049)	Prec@1 34.375 (37.327)	Prec@5 62.500 (67.139)
Epoch: [67][2870/7045]	Time 0.103 (0.260)	Data 0.001 (0.198)	Loss 2.7197 (2.6051)	Prec@1 37.109 (37.329)	Prec@5 66.797 (67.136)
Epoch: [67][2880/7045]	Time 0.289 (0.261)	Data 0.232 (0.198)	Loss 2.7649 (2.6053)	Prec@1 34.375 (37.326)	Prec@5 62.500 (67.128)
Epoch: [67][2890/7045]	Time 0.174 (0.261)	Data 0.124 (0.198)	Loss 2.6995 (2.6051)	Prec@1 39.844 (37.331)	Prec@5 67.188 (67.136)
Epoch: [67][2900/7045]	Time 0.276 (0.261)	Data 0.220 (0.198)	Loss 2.4614 (2.6051)	Prec@1 38.281 (37.331)	Prec@5 68.750 (67.137)
Epoch: [67][2910/7045]	Time 0.351 (0.261)	Data 0.299 (0.198)	Loss 2.4872 (2.6049)	Prec@1 40.234 (37.334)	Prec@5 66.797 (67.134)
Epoch: [67][2920/7045]	Time 0.285 (0.261)	Data 0.235 (0.198)	Loss 2.6881 (2.6049)	Prec@1 34.766 (37.337)	Prec@5 63.672 (67.136)
Epoch: [67][2930/7045]	Time 0.463 (0.261)	Data 0.405 (0.198)	Loss 2.5607 (2.6050)	Prec@1 35.156 (37.341)	Prec@5 68.750 (67.134)
Epoch: [67][2940/7045]	Time 0.110 (0.260)	Data 0.051 (0.198)	Loss 2.5890 (2.6049)	Prec@1 39.062 (37.341)	Prec@5 67.188 (67.136)
Epoch: [67][2950/7045]	Time 0.459 (0.260)	Data 0.407 (0.198)	Loss 2.5619 (2.6049)	Prec@1 37.891 (37.340)	Prec@5 67.188 (67.136)
Epoch: [67][2960/7045]	Time 0.171 (0.260)	Data 0.120 (0.198)	Loss 2.4493 (2.6048)	Prec@1 41.797 (37.342)	Prec@5 66.797 (67.133)
Epoch: [67][2970/7045]	Time 0.626 (0.260)	Data 0.574 (0.198)	Loss 2.6020 (2.6047)	Prec@1 36.719 (37.342)	Prec@5 67.188 (67.136)
Epoch: [67][2980/7045]	Time 0.177 (0.261)	Data 0.126 (0.198)	Loss 2.5269 (2.6049)	Prec@1 39.062 (37.339)	Prec@5 69.531 (67.132)
Epoch: [67][2990/7045]	Time 0.425 (0.261)	Data 0.375 (0.198)	Loss 2.4054 (2.6051)	Prec@1 43.359 (37.338)	Prec@5 70.703 (67.129)
Epoch: [67][3000/7045]	Time 0.182 (0.261)	Data 0.132 (0.198)	Loss 2.6555 (2.6052)	Prec@1 37.500 (37.335)	Prec@5 68.359 (67.126)
Epoch: [67][3010/7045]	Time 0.195 (0.261)	Data 0.144 (0.198)	Loss 2.5487 (2.6051)	Prec@1 40.625 (37.335)	Prec@5 66.406 (67.125)
Epoch: [67][3020/7045]	Time 0.171 (0.260)	Data 0.121 (0.198)	Loss 2.5273 (2.6052)	Prec@1 39.062 (37.332)	Prec@5 67.578 (67.121)
Epoch: [67][3030/7045]	Time 0.213 (0.260)	Data 0.162 (0.198)	Loss 2.6146 (2.6053)	Prec@1 39.062 (37.331)	Prec@5 69.531 (67.122)
Epoch: [67][3040/7045]	Time 0.111 (0.260)	Data 0.060 (0.198)	Loss 2.7376 (2.6053)	Prec@1 33.984 (37.330)	Prec@5 66.406 (67.121)
Epoch: [67][3050/7045]	Time 0.154 (0.260)	Data 0.103 (0.198)	Loss 2.3552 (2.6051)	Prec@1 41.797 (37.335)	Prec@5 70.312 (67.127)
Epoch: [67][3060/7045]	Time 0.101 (0.260)	Data 0.003 (0.198)	Loss 2.7585 (2.6049)	Prec@1 40.234 (37.335)	Prec@5 65.234 (67.131)
Epoch: [67][3070/7045]	Time 0.211 (0.261)	Data 0.159 (0.198)	Loss 2.6125 (2.6049)	Prec@1 37.500 (37.337)	Prec@5 66.406 (67.135)
Epoch: [67][3080/7045]	Time 0.101 (0.260)	Data 0.005 (0.198)	Loss 2.5930 (2.6047)	Prec@1 39.453 (37.341)	Prec@5 66.406 (67.136)
Epoch: [67][3090/7045]	Time 0.373 (0.260)	Data 0.322 (0.198)	Loss 2.7180 (2.6046)	Prec@1 32.422 (37.342)	Prec@5 63.672 (67.137)
Epoch: [67][3100/7045]	Time 0.099 (0.260)	Data 0.045 (0.198)	Loss 2.7330 (2.6046)	Prec@1 39.062 (37.343)	Prec@5 64.844 (67.134)
Epoch: [67][3110/7045]	Time 0.297 (0.260)	Data 0.246 (0.198)	Loss 2.5224 (2.6048)	Prec@1 35.156 (37.343)	Prec@5 66.406 (67.135)
Epoch: [67][3120/7045]	Time 0.101 (0.260)	Data 0.001 (0.198)	Loss 2.6091 (2.6048)	Prec@1 32.812 (37.338)	Prec@5 63.672 (67.131)
Epoch: [67][3130/7045]	Time 0.102 (0.260)	Data 0.050 (0.198)	Loss 2.7285 (2.6049)	Prec@1 41.016 (37.336)	Prec@5 64.453 (67.130)
Epoch: [67][3140/7045]	Time 0.235 (0.260)	Data 0.184 (0.198)	Loss 2.6405 (2.6050)	Prec@1 41.797 (37.336)	Prec@5 66.406 (67.130)
Epoch: [67][3150/7045]	Time 0.102 (0.260)	Data 0.001 (0.198)	Loss 2.6498 (2.6050)	Prec@1 38.672 (37.334)	Prec@5 66.406 (67.131)
Epoch: [67][3160/7045]	Time 0.299 (0.260)	Data 0.247 (0.198)	Loss 2.7423 (2.6049)	Prec@1 33.984 (37.340)	Prec@5 62.891 (67.132)
Epoch: [67][3170/7045]	Time 0.102 (0.260)	Data 0.001 (0.198)	Loss 2.4366 (2.6049)	Prec@1 37.109 (37.341)	Prec@5 71.484 (67.132)
Epoch: [67][3180/7045]	Time 0.294 (0.260)	Data 0.242 (0.198)	Loss 2.6296 (2.6047)	Prec@1 38.281 (37.340)	Prec@5 69.531 (67.138)
Epoch: [67][3190/7045]	Time 0.207 (0.260)	Data 0.156 (0.198)	Loss 2.6919 (2.6047)	Prec@1 33.203 (37.337)	Prec@5 63.672 (67.138)
Epoch: [67][3200/7045]	Time 0.384 (0.260)	Data 0.332 (0.198)	Loss 2.5504 (2.6048)	Prec@1 36.328 (37.335)	Prec@5 66.016 (67.135)
Epoch: [67][3210/7045]	Time 0.306 (0.260)	Data 0.256 (0.198)	Loss 2.4265 (2.6049)	Prec@1 37.891 (37.333)	Prec@5 68.750 (67.129)
Epoch: [67][3220/7045]	Time 0.346 (0.260)	Data 0.294 (0.197)	Loss 2.5293 (2.6050)	Prec@1 39.453 (37.329)	Prec@5 70.312 (67.131)
Epoch: [67][3230/7045]	Time 0.437 (0.260)	Data 0.385 (0.197)	Loss 2.4956 (2.6052)	Prec@1 35.938 (37.319)	Prec@5 71.875 (67.128)
Epoch: [67][3240/7045]	Time 0.239 (0.260)	Data 0.182 (0.197)	Loss 2.7404 (2.6051)	Prec@1 39.062 (37.325)	Prec@5 64.062 (67.131)
Epoch: [67][3250/7045]	Time 0.728 (0.260)	Data 0.677 (0.197)	Loss 2.6140 (2.6052)	Prec@1 37.500 (37.323)	Prec@5 65.625 (67.129)
Epoch: [67][3260/7045]	Time 0.103 (0.260)	Data 0.001 (0.197)	Loss 2.8780 (2.6053)	Prec@1 33.594 (37.325)	Prec@5 59.766 (67.127)
Epoch: [67][3270/7045]	Time 0.593 (0.261)	Data 0.536 (0.198)	Loss 2.5489 (2.6053)	Prec@1 37.500 (37.325)	Prec@5 70.312 (67.128)
Epoch: [67][3280/7045]	Time 0.114 (0.261)	Data 0.064 (0.198)	Loss 2.6912 (2.6052)	Prec@1 36.719 (37.327)	Prec@5 64.844 (67.127)
Epoch: [67][3290/7045]	Time 0.107 (0.261)	Data 0.001 (0.198)	Loss 2.4237 (2.6053)	Prec@1 43.750 (37.328)	Prec@5 66.797 (67.125)
Epoch: [67][3300/7045]	Time 0.102 (0.260)	Data 0.046 (0.198)	Loss 2.6489 (2.6054)	Prec@1 35.156 (37.325)	Prec@5 64.062 (67.121)
Epoch: [67][3310/7045]	Time 0.225 (0.260)	Data 0.167 (0.198)	Loss 2.6810 (2.6055)	Prec@1 33.203 (37.324)	Prec@5 67.578 (67.121)
Epoch: [67][3320/7045]	Time 0.216 (0.260)	Data 0.166 (0.198)	Loss 2.6673 (2.6056)	Prec@1 35.156 (37.325)	Prec@5 64.844 (67.120)
Epoch: [67][3330/7045]	Time 0.122 (0.260)	Data 0.063 (0.198)	Loss 2.5594 (2.6056)	Prec@1 38.281 (37.327)	Prec@5 66.016 (67.119)
Epoch: [67][3340/7045]	Time 0.489 (0.261)	Data 0.438 (0.198)	Loss 2.4430 (2.6055)	Prec@1 39.062 (37.328)	Prec@5 74.609 (67.121)
Epoch: [67][3350/7045]	Time 0.101 (0.261)	Data 0.001 (0.198)	Loss 2.4947 (2.6056)	Prec@1 39.453 (37.328)	Prec@5 68.359 (67.118)
Epoch: [67][3360/7045]	Time 0.211 (0.261)	Data 0.160 (0.198)	Loss 2.8459 (2.6057)	Prec@1 34.766 (37.325)	Prec@5 65.625 (67.115)
Epoch: [67][3370/7045]	Time 0.114 (0.261)	Data 0.062 (0.198)	Loss 2.7065 (2.6058)	Prec@1 39.062 (37.323)	Prec@5 63.672 (67.112)
Epoch: [67][3380/7045]	Time 0.102 (0.261)	Data 0.001 (0.198)	Loss 2.7329 (2.6059)	Prec@1 33.594 (37.320)	Prec@5 66.016 (67.110)
Epoch: [67][3390/7045]	Time 0.119 (0.260)	Data 0.068 (0.198)	Loss 2.5820 (2.6060)	Prec@1 36.328 (37.318)	Prec@5 68.750 (67.109)
Epoch: [67][3400/7045]	Time 0.222 (0.260)	Data 0.171 (0.198)	Loss 2.4564 (2.6061)	Prec@1 37.891 (37.316)	Prec@5 69.531 (67.107)
Epoch: [67][3410/7045]	Time 0.102 (0.260)	Data 0.001 (0.198)	Loss 2.2564 (2.6060)	Prec@1 44.141 (37.318)	Prec@5 73.047 (67.108)
Epoch: [67][3420/7045]	Time 0.210 (0.261)	Data 0.152 (0.198)	Loss 2.6737 (2.6059)	Prec@1 35.156 (37.320)	Prec@5 64.844 (67.112)
Epoch: [67][3430/7045]	Time 0.167 (0.261)	Data 0.113 (0.198)	Loss 2.5364 (2.6059)	Prec@1 39.453 (37.325)	Prec@5 66.797 (67.112)
Epoch: [67][3440/7045]	Time 0.111 (0.261)	Data 0.060 (0.198)	Loss 2.6332 (2.6060)	Prec@1 38.281 (37.321)	Prec@5 67.188 (67.108)
Epoch: [67][3450/7045]	Time 0.298 (0.261)	Data 0.247 (0.198)	Loss 2.6851 (2.6061)	Prec@1 35.547 (37.320)	Prec@5 67.578 (67.108)
Epoch: [67][3460/7045]	Time 0.101 (0.261)	Data 0.002 (0.198)	Loss 2.6581 (2.6064)	Prec@1 33.203 (37.315)	Prec@5 68.750 (67.104)
Epoch: [67][3470/7045]	Time 0.456 (0.261)	Data 0.406 (0.198)	Loss 2.6341 (2.6065)	Prec@1 35.547 (37.314)	Prec@5 67.578 (67.103)
Epoch: [67][3480/7045]	Time 0.102 (0.261)	Data 0.001 (0.198)	Loss 2.5258 (2.6067)	Prec@1 38.672 (37.312)	Prec@5 69.531 (67.100)
Epoch: [67][3490/7045]	Time 0.688 (0.261)	Data 0.631 (0.198)	Loss 2.5663 (2.6066)	Prec@1 38.281 (37.312)	Prec@5 69.922 (67.100)
Epoch: [67][3500/7045]	Time 0.102 (0.260)	Data 0.001 (0.198)	Loss 2.4722 (2.6065)	Prec@1 41.016 (37.317)	Prec@5 71.484 (67.104)
Epoch: [67][3510/7045]	Time 1.638 (0.261)	Data 1.586 (0.198)	Loss 2.7012 (2.6065)	Prec@1 33.984 (37.315)	Prec@5 67.969 (67.104)
Epoch: [67][3520/7045]	Time 0.102 (0.261)	Data 0.001 (0.198)	Loss 2.5446 (2.6066)	Prec@1 39.453 (37.315)	Prec@5 65.625 (67.101)
Epoch: [67][3530/7045]	Time 0.644 (0.261)	Data 0.592 (0.198)	Loss 2.8818 (2.6068)	Prec@1 33.984 (37.313)	Prec@5 62.500 (67.101)
Epoch: [67][3540/7045]	Time 0.109 (0.260)	Data 0.003 (0.197)	Loss 2.4952 (2.6069)	Prec@1 35.547 (37.311)	Prec@5 71.094 (67.100)
Epoch: [67][3550/7045]	Time 0.619 (0.261)	Data 0.568 (0.198)	Loss 2.6067 (2.6069)	Prec@1 40.625 (37.310)	Prec@5 68.750 (67.101)
Epoch: [67][3560/7045]	Time 0.102 (0.260)	Data 0.002 (0.197)	Loss 2.4751 (2.6069)	Prec@1 32.422 (37.307)	Prec@5 69.922 (67.099)
Epoch: [67][3570/7045]	Time 0.460 (0.260)	Data 0.409 (0.197)	Loss 2.3834 (2.6067)	Prec@1 41.797 (37.309)	Prec@5 72.656 (67.103)
Epoch: [67][3580/7045]	Time 0.102 (0.260)	Data 0.006 (0.197)	Loss 2.5679 (2.6068)	Prec@1 33.984 (37.306)	Prec@5 66.016 (67.103)
Epoch: [67][3590/7045]	Time 0.500 (0.260)	Data 0.449 (0.197)	Loss 2.6435 (2.6067)	Prec@1 34.375 (37.306)	Prec@5 63.281 (67.105)
Epoch: [67][3600/7045]	Time 0.102 (0.260)	Data 0.012 (0.197)	Loss 2.6939 (2.6065)	Prec@1 34.766 (37.306)	Prec@5 65.234 (67.109)
Epoch: [67][3610/7045]	Time 0.505 (0.261)	Data 0.452 (0.198)	Loss 2.6542 (2.6066)	Prec@1 37.500 (37.308)	Prec@5 66.016 (67.108)
Epoch: [67][3620/7045]	Time 0.422 (0.261)	Data 0.371 (0.198)	Loss 2.4603 (2.6067)	Prec@1 39.062 (37.306)	Prec@5 72.266 (67.104)
Epoch: [67][3630/7045]	Time 0.210 (0.261)	Data 0.159 (0.197)	Loss 2.3996 (2.6066)	Prec@1 41.797 (37.302)	Prec@5 73.047 (67.105)
Epoch: [67][3640/7045]	Time 0.108 (0.261)	Data 0.056 (0.198)	Loss 2.6000 (2.6065)	Prec@1 42.969 (37.305)	Prec@5 67.188 (67.106)
Epoch: [67][3650/7045]	Time 0.102 (0.261)	Data 0.005 (0.198)	Loss 2.6154 (2.6066)	Prec@1 37.891 (37.306)	Prec@5 67.969 (67.104)
Epoch: [67][3660/7045]	Time 0.101 (0.261)	Data 0.050 (0.198)	Loss 2.2907 (2.6065)	Prec@1 44.531 (37.309)	Prec@5 74.609 (67.107)
Epoch: [67][3670/7045]	Time 0.101 (0.261)	Data 0.047 (0.198)	Loss 2.7589 (2.6064)	Prec@1 35.156 (37.310)	Prec@5 65.234 (67.104)
Epoch: [67][3680/7045]	Time 0.101 (0.261)	Data 0.005 (0.198)	Loss 2.4374 (2.6065)	Prec@1 41.406 (37.309)	Prec@5 71.094 (67.107)
Epoch: [67][3690/7045]	Time 0.295 (0.261)	Data 0.243 (0.198)	Loss 2.6699 (2.6065)	Prec@1 35.156 (37.308)	Prec@5 66.797 (67.106)
Epoch: [67][3700/7045]	Time 0.102 (0.260)	Data 0.003 (0.197)	Loss 2.6350 (2.6065)	Prec@1 38.672 (37.307)	Prec@5 62.891 (67.105)
Epoch: [67][3710/7045]	Time 0.398 (0.260)	Data 0.347 (0.197)	Loss 2.4868 (2.6062)	Prec@1 37.500 (37.310)	Prec@5 68.359 (67.109)
Epoch: [67][3720/7045]	Time 0.101 (0.260)	Data 0.050 (0.197)	Loss 2.4758 (2.6064)	Prec@1 39.453 (37.310)	Prec@5 69.922 (67.107)
Epoch: [67][3730/7045]	Time 0.395 (0.260)	Data 0.345 (0.197)	Loss 2.6407 (2.6065)	Prec@1 34.375 (37.306)	Prec@5 61.328 (67.104)
Epoch: [67][3740/7045]	Time 0.256 (0.260)	Data 0.206 (0.197)	Loss 2.6400 (2.6065)	Prec@1 36.719 (37.305)	Prec@5 65.625 (67.100)
Epoch: [67][3750/7045]	Time 0.161 (0.260)	Data 0.110 (0.197)	Loss 2.6438 (2.6065)	Prec@1 39.844 (37.305)	Prec@5 66.797 (67.101)
Epoch: [67][3760/7045]	Time 0.494 (0.260)	Data 0.442 (0.197)	Loss 2.6757 (2.6065)	Prec@1 32.422 (37.304)	Prec@5 67.969 (67.099)
Epoch: [67][3770/7045]	Time 0.195 (0.260)	Data 0.144 (0.197)	Loss 2.4175 (2.6064)	Prec@1 40.234 (37.305)	Prec@5 68.750 (67.102)
Epoch: [67][3780/7045]	Time 0.438 (0.260)	Data 0.382 (0.197)	Loss 2.5334 (2.6064)	Prec@1 37.891 (37.302)	Prec@5 70.312 (67.100)
Epoch: [67][3790/7045]	Time 0.115 (0.260)	Data 0.063 (0.197)	Loss 2.5638 (2.6065)	Prec@1 35.547 (37.300)	Prec@5 64.453 (67.098)
Epoch: [67][3800/7045]	Time 0.377 (0.260)	Data 0.326 (0.197)	Loss 2.4778 (2.6065)	Prec@1 40.234 (37.299)	Prec@5 70.703 (67.096)
Epoch: [67][3810/7045]	Time 0.132 (0.260)	Data 0.080 (0.198)	Loss 2.5111 (2.6066)	Prec@1 34.766 (37.296)	Prec@5 68.750 (67.093)
Epoch: [67][3820/7045]	Time 0.492 (0.260)	Data 0.440 (0.198)	Loss 2.6044 (2.6067)	Prec@1 36.719 (37.294)	Prec@5 69.531 (67.089)
Epoch: [67][3830/7045]	Time 0.154 (0.260)	Data 0.102 (0.197)	Loss 2.6515 (2.6068)	Prec@1 34.766 (37.292)	Prec@5 66.797 (67.088)
Epoch: [67][3840/7045]	Time 0.883 (0.261)	Data 0.826 (0.198)	Loss 2.6547 (2.6067)	Prec@1 38.672 (37.293)	Prec@5 69.141 (67.090)
Epoch: [67][3850/7045]	Time 0.101 (0.260)	Data 0.001 (0.198)	Loss 2.4253 (2.6068)	Prec@1 38.281 (37.291)	Prec@5 68.750 (67.091)
Epoch: [67][3860/7045]	Time 0.168 (0.261)	Data 0.116 (0.198)	Loss 2.7889 (2.6068)	Prec@1 38.672 (37.289)	Prec@5 67.188 (67.091)
Epoch: [67][3870/7045]	Time 0.102 (0.260)	Data 0.003 (0.197)	Loss 2.8444 (2.6069)	Prec@1 32.812 (37.291)	Prec@5 62.109 (67.088)
Epoch: [67][3880/7045]	Time 0.111 (0.260)	Data 0.001 (0.197)	Loss 2.6932 (2.6067)	Prec@1 32.422 (37.291)	Prec@5 67.578 (67.094)
Epoch: [67][3890/7045]	Time 0.102 (0.260)	Data 0.049 (0.197)	Loss 2.4550 (2.6067)	Prec@1 39.453 (37.287)	Prec@5 69.141 (67.094)
Epoch: [67][3900/7045]	Time 0.226 (0.260)	Data 0.174 (0.197)	Loss 2.6761 (2.6067)	Prec@1 33.203 (37.286)	Prec@5 67.188 (67.092)
Epoch: [67][3910/7045]	Time 0.102 (0.260)	Data 0.050 (0.197)	Loss 2.3692 (2.6066)	Prec@1 40.625 (37.288)	Prec@5 69.922 (67.093)
Epoch: [67][3920/7045]	Time 0.448 (0.260)	Data 0.397 (0.197)	Loss 2.5098 (2.6067)	Prec@1 37.500 (37.287)	Prec@5 71.094 (67.091)
Epoch: [67][3930/7045]	Time 0.102 (0.260)	Data 0.001 (0.197)	Loss 2.4542 (2.6066)	Prec@1 41.016 (37.290)	Prec@5 70.312 (67.093)
Epoch: [67][3940/7045]	Time 0.258 (0.260)	Data 0.207 (0.197)	Loss 2.6987 (2.6067)	Prec@1 36.719 (37.289)	Prec@5 65.234 (67.091)
Epoch: [67][3950/7045]	Time 0.185 (0.260)	Data 0.129 (0.197)	Loss 2.5882 (2.6068)	Prec@1 36.328 (37.284)	Prec@5 71.094 (67.090)
Epoch: [67][3960/7045]	Time 0.102 (0.260)	Data 0.001 (0.197)	Loss 2.5711 (2.6070)	Prec@1 36.719 (37.279)	Prec@5 67.578 (67.089)
Epoch: [67][3970/7045]	Time 0.109 (0.260)	Data 0.004 (0.197)	Loss 2.6060 (2.6070)	Prec@1 35.156 (37.279)	Prec@5 62.891 (67.087)
Epoch: [67][3980/7045]	Time 0.101 (0.260)	Data 0.049 (0.197)	Loss 2.6425 (2.6070)	Prec@1 35.547 (37.280)	Prec@5 65.625 (67.085)
Epoch: [67][3990/7045]	Time 0.193 (0.260)	Data 0.142 (0.197)	Loss 2.7751 (2.6070)	Prec@1 35.156 (37.280)	Prec@5 65.234 (67.083)
Epoch: [67][4000/7045]	Time 0.237 (0.260)	Data 0.186 (0.197)	Loss 2.6604 (2.6069)	Prec@1 38.672 (37.283)	Prec@5 65.234 (67.082)
Epoch: [67][4010/7045]	Time 0.120 (0.260)	Data 0.061 (0.197)	Loss 2.7378 (2.6070)	Prec@1 36.328 (37.280)	Prec@5 63.672 (67.079)
Epoch: [67][4020/7045]	Time 0.227 (0.260)	Data 0.176 (0.197)	Loss 2.7279 (2.6070)	Prec@1 34.766 (37.282)	Prec@5 63.672 (67.076)
Epoch: [67][4030/7045]	Time 0.149 (0.260)	Data 0.091 (0.197)	Loss 2.6999 (2.6072)	Prec@1 33.984 (37.283)	Prec@5 66.797 (67.075)
Epoch: [67][4040/7045]	Time 0.249 (0.260)	Data 0.199 (0.197)	Loss 2.7057 (2.6071)	Prec@1 32.031 (37.283)	Prec@5 65.625 (67.077)
Epoch: [67][4050/7045]	Time 0.244 (0.260)	Data 0.193 (0.197)	Loss 2.5525 (2.6071)	Prec@1 36.328 (37.281)	Prec@5 69.531 (67.077)
Epoch: [67][4060/7045]	Time 0.231 (0.260)	Data 0.180 (0.197)	Loss 2.4432 (2.6070)	Prec@1 37.891 (37.280)	Prec@5 67.969 (67.078)
Epoch: [67][4070/7045]	Time 0.274 (0.260)	Data 0.223 (0.197)	Loss 2.4969 (2.6071)	Prec@1 39.453 (37.279)	Prec@5 68.750 (67.080)
Epoch: [67][4080/7045]	Time 0.102 (0.260)	Data 0.004 (0.197)	Loss 2.4900 (2.6071)	Prec@1 37.891 (37.276)	Prec@5 70.312 (67.081)
Epoch: [67][4090/7045]	Time 0.234 (0.260)	Data 0.182 (0.197)	Loss 2.6508 (2.6070)	Prec@1 35.156 (37.275)	Prec@5 68.750 (67.083)
Epoch: [67][4100/7045]	Time 0.101 (0.260)	Data 0.001 (0.197)	Loss 2.5397 (2.6071)	Prec@1 42.578 (37.274)	Prec@5 64.844 (67.080)
Epoch: [67][4110/7045]	Time 0.294 (0.260)	Data 0.243 (0.197)	Loss 2.5832 (2.6071)	Prec@1 41.016 (37.274)	Prec@5 67.188 (67.080)
Epoch: [67][4120/7045]	Time 0.161 (0.260)	Data 0.109 (0.197)	Loss 2.6333 (2.6071)	Prec@1 35.156 (37.274)	Prec@5 66.406 (67.081)
Epoch: [67][4130/7045]	Time 0.241 (0.260)	Data 0.190 (0.197)	Loss 2.6374 (2.6071)	Prec@1 37.500 (37.273)	Prec@5 67.188 (67.079)
Epoch: [67][4140/7045]	Time 0.105 (0.260)	Data 0.052 (0.197)	Loss 2.5936 (2.6070)	Prec@1 35.547 (37.273)	Prec@5 65.234 (67.079)
Epoch: [67][4150/7045]	Time 0.433 (0.260)	Data 0.377 (0.197)	Loss 2.6407 (2.6070)	Prec@1 37.500 (37.275)	Prec@5 64.062 (67.081)
Epoch: [67][4160/7045]	Time 0.146 (0.260)	Data 0.095 (0.197)	Loss 2.4823 (2.6068)	Prec@1 36.719 (37.278)	Prec@5 71.875 (67.084)
Epoch: [67][4170/7045]	Time 0.529 (0.260)	Data 0.478 (0.197)	Loss 2.7614 (2.6068)	Prec@1 31.641 (37.278)	Prec@5 62.109 (67.084)
Epoch: [67][4180/7045]	Time 0.133 (0.260)	Data 0.082 (0.197)	Loss 2.3492 (2.6067)	Prec@1 40.625 (37.278)	Prec@5 70.703 (67.088)
Epoch: [67][4190/7045]	Time 0.592 (0.260)	Data 0.541 (0.197)	Loss 2.6469 (2.6066)	Prec@1 32.031 (37.280)	Prec@5 64.062 (67.089)
Epoch: [67][4200/7045]	Time 0.106 (0.260)	Data 0.047 (0.197)	Loss 2.6464 (2.6067)	Prec@1 33.203 (37.277)	Prec@5 65.234 (67.087)
Epoch: [67][4210/7045]	Time 0.608 (0.260)	Data 0.551 (0.197)	Loss 2.6117 (2.6068)	Prec@1 37.109 (37.273)	Prec@5 68.359 (67.085)
Epoch: [67][4220/7045]	Time 0.189 (0.260)	Data 0.138 (0.197)	Loss 2.4812 (2.6067)	Prec@1 41.797 (37.273)	Prec@5 69.922 (67.088)
Epoch: [67][4230/7045]	Time 0.659 (0.260)	Data 0.601 (0.197)	Loss 2.8782 (2.6068)	Prec@1 32.422 (37.272)	Prec@5 61.328 (67.086)
Epoch: [67][4240/7045]	Time 0.104 (0.260)	Data 0.003 (0.197)	Loss 2.7026 (2.6068)	Prec@1 33.984 (37.272)	Prec@5 64.062 (67.087)
Epoch: [67][4250/7045]	Time 0.316 (0.260)	Data 0.266 (0.197)	Loss 2.5103 (2.6067)	Prec@1 44.141 (37.279)	Prec@5 70.703 (67.086)
Epoch: [67][4260/7045]	Time 0.102 (0.260)	Data 0.002 (0.197)	Loss 2.6927 (2.6068)	Prec@1 38.281 (37.276)	Prec@5 64.062 (67.080)
Epoch: [67][4270/7045]	Time 0.105 (0.260)	Data 0.053 (0.197)	Loss 2.6907 (2.6068)	Prec@1 36.719 (37.276)	Prec@5 64.453 (67.082)
Epoch: [67][4280/7045]	Time 0.103 (0.260)	Data 0.048 (0.197)	Loss 2.5372 (2.6069)	Prec@1 42.188 (37.275)	Prec@5 69.141 (67.080)
Epoch: [67][4290/7045]	Time 0.289 (0.260)	Data 0.238 (0.197)	Loss 2.7051 (2.6070)	Prec@1 34.766 (37.274)	Prec@5 63.672 (67.080)
Epoch: [67][4300/7045]	Time 0.101 (0.260)	Data 0.005 (0.197)	Loss 2.7964 (2.6071)	Prec@1 36.328 (37.271)	Prec@5 64.844 (67.077)
Epoch: [67][4310/7045]	Time 0.464 (0.260)	Data 0.412 (0.197)	Loss 2.5113 (2.6070)	Prec@1 33.594 (37.273)	Prec@5 64.453 (67.080)
Epoch: [67][4320/7045]	Time 0.102 (0.260)	Data 0.001 (0.197)	Loss 2.7270 (2.6071)	Prec@1 34.375 (37.270)	Prec@5 63.672 (67.077)
Epoch: [67][4330/7045]	Time 0.107 (0.261)	Data 0.001 (0.198)	Loss 2.7078 (2.6069)	Prec@1 36.328 (37.274)	Prec@5 67.188 (67.081)
Epoch: [67][4340/7045]	Time 0.188 (0.261)	Data 0.137 (0.198)	Loss 2.4876 (2.6070)	Prec@1 43.359 (37.273)	Prec@5 68.359 (67.078)
Epoch: [67][4350/7045]	Time 0.102 (0.261)	Data 0.049 (0.198)	Loss 2.7616 (2.6070)	Prec@1 34.766 (37.273)	Prec@5 63.672 (67.078)
Epoch: [67][4360/7045]	Time 0.162 (0.261)	Data 0.110 (0.198)	Loss 2.4300 (2.6070)	Prec@1 40.625 (37.273)	Prec@5 68.750 (67.077)
Epoch: [67][4370/7045]	Time 0.108 (0.260)	Data 0.056 (0.198)	Loss 2.5980 (2.6068)	Prec@1 35.547 (37.277)	Prec@5 66.406 (67.080)
Epoch: [67][4380/7045]	Time 0.110 (0.260)	Data 0.059 (0.198)	Loss 2.5219 (2.6070)	Prec@1 37.109 (37.275)	Prec@5 68.750 (67.077)
Epoch: [67][4390/7045]	Time 0.099 (0.260)	Data 0.044 (0.198)	Loss 2.4746 (2.6069)	Prec@1 39.453 (37.278)	Prec@5 69.922 (67.080)
Epoch: [67][4400/7045]	Time 0.102 (0.260)	Data 0.001 (0.197)	Loss 2.5029 (2.6070)	Prec@1 41.016 (37.278)	Prec@5 73.828 (67.077)
Epoch: [67][4410/7045]	Time 0.191 (0.260)	Data 0.139 (0.197)	Loss 2.5239 (2.6071)	Prec@1 37.109 (37.273)	Prec@5 68.359 (67.076)
Epoch: [67][4420/7045]	Time 0.131 (0.261)	Data 0.076 (0.198)	Loss 2.6499 (2.6072)	Prec@1 34.766 (37.273)	Prec@5 66.406 (67.076)
Epoch: [67][4430/7045]	Time 0.102 (0.261)	Data 0.004 (0.198)	Loss 2.6330 (2.6072)	Prec@1 32.422 (37.272)	Prec@5 68.359 (67.077)
Epoch: [67][4440/7045]	Time 0.101 (0.261)	Data 0.045 (0.198)	Loss 2.7786 (2.6073)	Prec@1 32.031 (37.272)	Prec@5 62.891 (67.078)
Epoch: [67][4450/7045]	Time 0.102 (0.261)	Data 0.002 (0.198)	Loss 2.6142 (2.6074)	Prec@1 39.453 (37.270)	Prec@5 67.188 (67.073)
Epoch: [67][4460/7045]	Time 0.214 (0.261)	Data 0.158 (0.198)	Loss 2.6971 (2.6075)	Prec@1 36.719 (37.269)	Prec@5 68.359 (67.073)
Epoch: [67][4470/7045]	Time 0.261 (0.261)	Data 0.210 (0.198)	Loss 2.6065 (2.6076)	Prec@1 34.766 (37.267)	Prec@5 63.281 (67.071)
Epoch: [67][4480/7045]	Time 0.109 (0.261)	Data 0.005 (0.198)	Loss 2.4061 (2.6075)	Prec@1 41.406 (37.266)	Prec@5 73.438 (67.073)
Epoch: [67][4490/7045]	Time 0.353 (0.261)	Data 0.304 (0.198)	Loss 2.3793 (2.6074)	Prec@1 39.844 (37.269)	Prec@5 69.922 (67.075)
Epoch: [67][4500/7045]	Time 0.160 (0.261)	Data 0.109 (0.198)	Loss 2.6225 (2.6074)	Prec@1 36.719 (37.269)	Prec@5 67.188 (67.074)
Epoch: [67][4510/7045]	Time 2.809 (0.261)	Data 2.756 (0.198)	Loss 2.3801 (2.6074)	Prec@1 46.094 (37.271)	Prec@5 71.484 (67.074)
Epoch: [67][4520/7045]	Time 0.386 (0.261)	Data 0.333 (0.198)	Loss 2.6437 (2.6074)	Prec@1 38.281 (37.275)	Prec@5 69.141 (67.075)
Epoch: [67][4530/7045]	Time 0.231 (0.261)	Data 0.180 (0.198)	Loss 2.6516 (2.6074)	Prec@1 32.812 (37.273)	Prec@5 65.234 (67.072)
Epoch: [67][4540/7045]	Time 0.408 (0.261)	Data 0.357 (0.198)	Loss 2.6141 (2.6074)	Prec@1 35.156 (37.271)	Prec@5 64.844 (67.073)
Epoch: [67][4550/7045]	Time 0.103 (0.261)	Data 0.002 (0.198)	Loss 2.6865 (2.6075)	Prec@1 35.547 (37.269)	Prec@5 67.188 (67.071)
Epoch: [67][4560/7045]	Time 0.552 (0.261)	Data 0.501 (0.198)	Loss 2.8645 (2.6075)	Prec@1 33.594 (37.268)	Prec@5 61.719 (67.070)
Epoch: [67][4570/7045]	Time 0.100 (0.261)	Data 0.047 (0.198)	Loss 2.5911 (2.6076)	Prec@1 36.719 (37.267)	Prec@5 64.062 (67.068)
Epoch: [67][4580/7045]	Time 0.468 (0.261)	Data 0.417 (0.198)	Loss 2.5135 (2.6077)	Prec@1 39.453 (37.267)	Prec@5 67.969 (67.066)
Epoch: [67][4590/7045]	Time 0.206 (0.261)	Data 0.149 (0.198)	Loss 2.6076 (2.6077)	Prec@1 35.156 (37.267)	Prec@5 65.234 (67.065)
Epoch: [67][4600/7045]	Time 0.323 (0.261)	Data 0.271 (0.198)	Loss 2.6679 (2.6076)	Prec@1 32.812 (37.267)	Prec@5 70.703 (67.068)
Epoch: [67][4610/7045]	Time 0.102 (0.261)	Data 0.045 (0.199)	Loss 2.4969 (2.6075)	Prec@1 37.109 (37.266)	Prec@5 71.094 (67.073)
Epoch: [67][4620/7045]	Time 0.685 (0.261)	Data 0.628 (0.199)	Loss 2.4602 (2.6074)	Prec@1 39.844 (37.268)	Prec@5 70.703 (67.077)
Epoch: [67][4630/7045]	Time 0.110 (0.261)	Data 0.001 (0.198)	Loss 2.3183 (2.6074)	Prec@1 44.531 (37.268)	Prec@5 73.828 (67.077)
Epoch: [67][4640/7045]	Time 0.541 (0.261)	Data 0.490 (0.198)	Loss 2.6618 (2.6074)	Prec@1 36.328 (37.269)	Prec@5 64.844 (67.076)
Epoch: [67][4650/7045]	Time 0.183 (0.261)	Data 0.133 (0.198)	Loss 2.6991 (2.6075)	Prec@1 33.984 (37.267)	Prec@5 69.141 (67.073)
Epoch: [67][4660/7045]	Time 0.493 (0.261)	Data 0.441 (0.198)	Loss 2.6369 (2.6075)	Prec@1 40.234 (37.270)	Prec@5 62.891 (67.074)
Epoch: [67][4670/7045]	Time 0.242 (0.261)	Data 0.191 (0.198)	Loss 2.6244 (2.6076)	Prec@1 35.156 (37.269)	Prec@5 65.625 (67.072)
Epoch: [67][4680/7045]	Time 0.241 (0.261)	Data 0.189 (0.198)	Loss 2.5097 (2.6077)	Prec@1 39.844 (37.266)	Prec@5 70.703 (67.070)
Epoch: [67][4690/7045]	Time 0.216 (0.261)	Data 0.165 (0.198)	Loss 2.4939 (2.6077)	Prec@1 39.062 (37.266)	Prec@5 67.578 (67.068)
Epoch: [67][4700/7045]	Time 0.146 (0.262)	Data 0.095 (0.199)	Loss 2.7196 (2.6078)	Prec@1 37.109 (37.265)	Prec@5 66.016 (67.067)
Epoch: [67][4710/7045]	Time 0.102 (0.262)	Data 0.006 (0.199)	Loss 2.3682 (2.6076)	Prec@1 39.453 (37.267)	Prec@5 70.312 (67.070)
Epoch: [67][4720/7045]	Time 0.352 (0.262)	Data 0.302 (0.199)	Loss 2.5061 (2.6077)	Prec@1 36.719 (37.266)	Prec@5 71.875 (67.070)
Epoch: [67][4730/7045]	Time 0.155 (0.261)	Data 0.104 (0.199)	Loss 2.5575 (2.6077)	Prec@1 37.891 (37.265)	Prec@5 68.359 (67.069)
Epoch: [67][4740/7045]	Time 0.483 (0.261)	Data 0.426 (0.199)	Loss 2.5697 (2.6077)	Prec@1 36.328 (37.265)	Prec@5 69.531 (67.070)
Epoch: [67][4750/7045]	Time 0.102 (0.261)	Data 0.049 (0.199)	Loss 2.5280 (2.6075)	Prec@1 39.062 (37.268)	Prec@5 65.625 (67.072)
Epoch: [67][4760/7045]	Time 0.535 (0.261)	Data 0.482 (0.199)	Loss 2.5116 (2.6075)	Prec@1 38.281 (37.267)	Prec@5 70.312 (67.075)
Epoch: [67][4770/7045]	Time 0.101 (0.261)	Data 0.001 (0.199)	Loss 2.5663 (2.6076)	Prec@1 38.672 (37.268)	Prec@5 67.969 (67.074)
Epoch: [67][4780/7045]	Time 0.474 (0.261)	Data 0.423 (0.199)	Loss 2.5555 (2.6076)	Prec@1 38.672 (37.267)	Prec@5 69.141 (67.073)
Epoch: [67][4790/7045]	Time 0.110 (0.261)	Data 0.004 (0.199)	Loss 2.5974 (2.6076)	Prec@1 41.016 (37.265)	Prec@5 66.797 (67.072)
Epoch: [67][4800/7045]	Time 0.253 (0.261)	Data 0.202 (0.199)	Loss 2.3949 (2.6076)	Prec@1 39.453 (37.265)	Prec@5 68.750 (67.070)
Epoch: [67][4810/7045]	Time 0.102 (0.261)	Data 0.001 (0.198)	Loss 2.6780 (2.6076)	Prec@1 37.891 (37.267)	Prec@5 64.453 (67.073)
Epoch: [67][4820/7045]	Time 0.275 (0.261)	Data 0.223 (0.199)	Loss 2.7644 (2.6077)	Prec@1 32.812 (37.266)	Prec@5 60.938 (67.068)
Epoch: [67][4830/7045]	Time 0.099 (0.261)	Data 0.047 (0.198)	Loss 2.4831 (2.6076)	Prec@1 41.016 (37.268)	Prec@5 69.531 (67.069)
Epoch: [67][4840/7045]	Time 0.278 (0.261)	Data 0.222 (0.198)	Loss 2.4729 (2.6075)	Prec@1 40.625 (37.269)	Prec@5 70.703 (67.073)
Epoch: [67][4850/7045]	Time 0.235 (0.261)	Data 0.183 (0.198)	Loss 2.5947 (2.6074)	Prec@1 34.766 (37.269)	Prec@5 65.234 (67.074)
Epoch: [67][4860/7045]	Time 0.205 (0.261)	Data 0.154 (0.198)	Loss 2.5397 (2.6075)	Prec@1 41.406 (37.269)	Prec@5 67.578 (67.072)
Epoch: [67][4870/7045]	Time 0.101 (0.261)	Data 0.049 (0.198)	Loss 2.6579 (2.6075)	Prec@1 34.766 (37.269)	Prec@5 66.406 (67.072)
Epoch: [67][4880/7045]	Time 0.106 (0.261)	Data 0.001 (0.198)	Loss 2.3808 (2.6074)	Prec@1 41.797 (37.271)	Prec@5 72.656 (67.076)
Epoch: [67][4890/7045]	Time 0.101 (0.262)	Data 0.001 (0.199)	Loss 2.6752 (2.6074)	Prec@1 37.891 (37.271)	Prec@5 65.234 (67.076)
Epoch: [67][4900/7045]	Time 0.210 (0.262)	Data 0.160 (0.199)	Loss 2.6370 (2.6074)	Prec@1 36.328 (37.271)	Prec@5 67.188 (67.076)
Epoch: [67][4910/7045]	Time 0.230 (0.262)	Data 0.179 (0.199)	Loss 2.5966 (2.6074)	Prec@1 37.109 (37.270)	Prec@5 69.141 (67.075)
Epoch: [67][4920/7045]	Time 0.366 (0.262)	Data 0.309 (0.199)	Loss 2.7540 (2.6074)	Prec@1 33.203 (37.269)	Prec@5 63.672 (67.076)
Epoch: [67][4930/7045]	Time 0.453 (0.261)	Data 0.402 (0.199)	Loss 2.5493 (2.6075)	Prec@1 38.281 (37.268)	Prec@5 69.531 (67.075)
Epoch: [67][4940/7045]	Time 0.352 (0.261)	Data 0.299 (0.199)	Loss 2.7629 (2.6074)	Prec@1 32.422 (37.273)	Prec@5 63.281 (67.077)
Epoch: [67][4950/7045]	Time 0.214 (0.261)	Data 0.163 (0.199)	Loss 2.3491 (2.6073)	Prec@1 39.453 (37.275)	Prec@5 71.484 (67.080)
Epoch: [67][4960/7045]	Time 0.244 (0.261)	Data 0.187 (0.199)	Loss 2.5783 (2.6073)	Prec@1 39.062 (37.274)	Prec@5 68.359 (67.080)
Epoch: [67][4970/7045]	Time 0.257 (0.261)	Data 0.207 (0.199)	Loss 2.7320 (2.6074)	Prec@1 35.547 (37.273)	Prec@5 65.625 (67.079)
Epoch: [67][4980/7045]	Time 0.102 (0.262)	Data 0.050 (0.199)	Loss 2.5132 (2.6074)	Prec@1 39.453 (37.274)	Prec@5 67.188 (67.079)
Epoch: [67][4990/7045]	Time 0.103 (0.261)	Data 0.001 (0.199)	Loss 2.7025 (2.6073)	Prec@1 37.109 (37.275)	Prec@5 62.891 (67.079)
Epoch: [67][5000/7045]	Time 0.102 (0.262)	Data 0.001 (0.199)	Loss 2.5502 (2.6074)	Prec@1 39.453 (37.274)	Prec@5 65.625 (67.078)
Epoch: [67][5010/7045]	Time 0.210 (0.261)	Data 0.159 (0.199)	Loss 2.4987 (2.6074)	Prec@1 40.625 (37.272)	Prec@5 69.922 (67.077)
Epoch: [67][5020/7045]	Time 0.101 (0.261)	Data 0.047 (0.199)	Loss 2.5591 (2.6074)	Prec@1 32.812 (37.273)	Prec@5 67.578 (67.076)
Epoch: [67][5030/7045]	Time 0.101 (0.261)	Data 0.005 (0.199)	Loss 2.5069 (2.6074)	Prec@1 38.672 (37.274)	Prec@5 69.922 (67.076)
Epoch: [67][5040/7045]	Time 0.132 (0.261)	Data 0.081 (0.199)	Loss 2.7231 (2.6073)	Prec@1 33.984 (37.276)	Prec@5 64.062 (67.078)
Epoch: [67][5050/7045]	Time 0.209 (0.261)	Data 0.158 (0.199)	Loss 2.6550 (2.6073)	Prec@1 35.156 (37.277)	Prec@5 62.500 (67.077)
Epoch: [67][5060/7045]	Time 0.347 (0.261)	Data 0.288 (0.199)	Loss 2.5164 (2.6073)	Prec@1 40.625 (37.277)	Prec@5 70.703 (67.079)
Epoch: [67][5070/7045]	Time 0.102 (0.261)	Data 0.001 (0.199)	Loss 2.5580 (2.6072)	Prec@1 34.766 (37.276)	Prec@5 69.922 (67.083)
Epoch: [67][5080/7045]	Time 0.393 (0.261)	Data 0.342 (0.199)	Loss 2.5245 (2.6071)	Prec@1 41.016 (37.279)	Prec@5 68.359 (67.086)
Epoch: [67][5090/7045]	Time 0.423 (0.261)	Data 0.371 (0.199)	Loss 2.5102 (2.6072)	Prec@1 41.797 (37.278)	Prec@5 67.188 (67.083)
Epoch: [67][5100/7045]	Time 0.228 (0.261)	Data 0.172 (0.199)	Loss 2.8392 (2.6071)	Prec@1 34.766 (37.281)	Prec@5 64.844 (67.082)
Epoch: [67][5110/7045]	Time 0.481 (0.261)	Data 0.431 (0.199)	Loss 2.5776 (2.6071)	Prec@1 37.500 (37.282)	Prec@5 67.969 (67.086)
Epoch: [67][5120/7045]	Time 0.102 (0.261)	Data 0.001 (0.198)	Loss 2.7108 (2.6071)	Prec@1 36.719 (37.282)	Prec@5 64.453 (67.087)
Epoch: [67][5130/7045]	Time 0.429 (0.261)	Data 0.379 (0.198)	Loss 2.7895 (2.6070)	Prec@1 31.641 (37.283)	Prec@5 62.500 (67.089)
Epoch: [67][5140/7045]	Time 0.102 (0.261)	Data 0.005 (0.198)	Loss 2.6681 (2.6069)	Prec@1 33.594 (37.285)	Prec@5 66.406 (67.092)
Epoch: [67][5150/7045]	Time 0.100 (0.261)	Data 0.002 (0.198)	Loss 2.6662 (2.6070)	Prec@1 38.281 (37.282)	Prec@5 65.234 (67.090)
Epoch: [67][5160/7045]	Time 0.205 (0.261)	Data 0.154 (0.199)	Loss 2.6922 (2.6070)	Prec@1 37.109 (37.282)	Prec@5 64.844 (67.090)
Epoch: [67][5170/7045]	Time 0.106 (0.261)	Data 0.054 (0.199)	Loss 2.6854 (2.6070)	Prec@1 33.984 (37.283)	Prec@5 63.281 (67.089)
Epoch: [67][5180/7045]	Time 0.286 (0.261)	Data 0.235 (0.199)	Loss 2.7275 (2.6071)	Prec@1 37.891 (37.283)	Prec@5 64.844 (67.088)
Epoch: [67][5190/7045]	Time 0.297 (0.261)	Data 0.247 (0.199)	Loss 2.6951 (2.6071)	Prec@1 36.328 (37.282)	Prec@5 62.891 (67.086)
Epoch: [67][5200/7045]	Time 0.372 (0.261)	Data 0.321 (0.199)	Loss 2.8643 (2.6071)	Prec@1 34.375 (37.281)	Prec@5 63.672 (67.088)
Epoch: [67][5210/7045]	Time 0.381 (0.261)	Data 0.332 (0.199)	Loss 2.8542 (2.6072)	Prec@1 32.422 (37.279)	Prec@5 64.453 (67.086)
Epoch: [67][5220/7045]	Time 0.164 (0.261)	Data 0.113 (0.199)	Loss 2.5112 (2.6072)	Prec@1 38.281 (37.280)	Prec@5 69.141 (67.086)
Epoch: [67][5230/7045]	Time 0.199 (0.261)	Data 0.148 (0.198)	Loss 2.6528 (2.6072)	Prec@1 37.109 (37.279)	Prec@5 66.016 (67.088)
Epoch: [67][5240/7045]	Time 0.104 (0.261)	Data 0.052 (0.198)	Loss 2.5769 (2.6071)	Prec@1 37.891 (37.281)	Prec@5 64.062 (67.088)
Epoch: [67][5250/7045]	Time 0.104 (0.261)	Data 0.002 (0.198)	Loss 2.7760 (2.6072)	Prec@1 31.641 (37.281)	Prec@5 64.844 (67.086)
Epoch: [67][5260/7045]	Time 0.162 (0.261)	Data 0.105 (0.199)	Loss 2.5702 (2.6071)	Prec@1 35.938 (37.285)	Prec@5 68.750 (67.088)
Epoch: [67][5270/7045]	Time 0.102 (0.261)	Data 0.001 (0.199)	Loss 2.5210 (2.6070)	Prec@1 35.938 (37.285)	Prec@5 69.531 (67.091)
Epoch: [67][5280/7045]	Time 0.113 (0.261)	Data 0.062 (0.199)	Loss 2.6479 (2.6070)	Prec@1 35.547 (37.286)	Prec@5 66.406 (67.093)
Epoch: [67][5290/7045]	Time 0.138 (0.261)	Data 0.087 (0.198)	Loss 2.4776 (2.6071)	Prec@1 36.719 (37.284)	Prec@5 70.703 (67.091)
Epoch: [67][5300/7045]	Time 0.109 (0.261)	Data 0.013 (0.198)	Loss 2.7055 (2.6071)	Prec@1 35.547 (37.283)	Prec@5 66.016 (67.088)
Epoch: [67][5310/7045]	Time 0.103 (0.261)	Data 0.001 (0.198)	Loss 2.6748 (2.6072)	Prec@1 37.891 (37.284)	Prec@5 65.234 (67.086)
Epoch: [67][5320/7045]	Time 0.101 (0.261)	Data 0.002 (0.198)	Loss 2.5288 (2.6071)	Prec@1 35.156 (37.285)	Prec@5 70.703 (67.087)
Epoch: [67][5330/7045]	Time 0.235 (0.261)	Data 0.185 (0.198)	Loss 2.7135 (2.6071)	Prec@1 35.938 (37.283)	Prec@5 66.406 (67.086)
Epoch: [67][5340/7045]	Time 0.100 (0.261)	Data 0.001 (0.198)	Loss 2.6485 (2.6072)	Prec@1 32.031 (37.279)	Prec@5 66.797 (67.086)
Epoch: [67][5350/7045]	Time 0.533 (0.262)	Data 0.481 (0.199)	Loss 2.3958 (2.6071)	Prec@1 41.406 (37.282)	Prec@5 71.094 (67.088)
Epoch: [67][5360/7045]	Time 0.101 (0.262)	Data 0.001 (0.199)	Loss 2.7897 (2.6071)	Prec@1 35.938 (37.283)	Prec@5 62.109 (67.087)
Epoch: [67][5370/7045]	Time 0.280 (0.262)	Data 0.222 (0.199)	Loss 2.6376 (2.6072)	Prec@1 36.328 (37.281)	Prec@5 63.672 (67.085)
Epoch: [67][5380/7045]	Time 0.107 (0.261)	Data 0.055 (0.199)	Loss 2.5290 (2.6071)	Prec@1 36.719 (37.285)	Prec@5 67.969 (67.086)
Epoch: [67][5390/7045]	Time 0.108 (0.261)	Data 0.001 (0.199)	Loss 2.5429 (2.6072)	Prec@1 39.844 (37.285)	Prec@5 67.188 (67.086)
Epoch: [67][5400/7045]	Time 0.105 (0.261)	Data 0.054 (0.199)	Loss 2.6728 (2.6072)	Prec@1 39.844 (37.285)	Prec@5 66.406 (67.089)
Epoch: [67][5410/7045]	Time 0.254 (0.261)	Data 0.203 (0.199)	Loss 2.5558 (2.6072)	Prec@1 39.062 (37.284)	Prec@5 67.969 (67.089)
Epoch: [67][5420/7045]	Time 0.115 (0.262)	Data 0.064 (0.199)	Loss 2.6150 (2.6071)	Prec@1 39.062 (37.287)	Prec@5 70.312 (67.091)
Epoch: [67][5430/7045]	Time 0.349 (0.262)	Data 0.298 (0.199)	Loss 2.6277 (2.6073)	Prec@1 33.984 (37.283)	Prec@5 63.672 (67.088)
Epoch: [67][5440/7045]	Time 0.345 (0.262)	Data 0.293 (0.199)	Loss 2.4354 (2.6073)	Prec@1 44.141 (37.283)	Prec@5 69.531 (67.087)
Epoch: [67][5450/7045]	Time 0.155 (0.262)	Data 0.102 (0.199)	Loss 2.7508 (2.6075)	Prec@1 37.500 (37.279)	Prec@5 66.016 (67.086)
Epoch: [67][5460/7045]	Time 0.307 (0.261)	Data 0.255 (0.199)	Loss 2.4033 (2.6076)	Prec@1 39.453 (37.278)	Prec@5 71.484 (67.083)
Epoch: [67][5470/7045]	Time 0.136 (0.261)	Data 0.077 (0.199)	Loss 2.6490 (2.6075)	Prec@1 35.156 (37.279)	Prec@5 69.141 (67.084)
Epoch: [67][5480/7045]	Time 0.256 (0.261)	Data 0.206 (0.199)	Loss 2.5317 (2.6074)	Prec@1 40.625 (37.277)	Prec@5 69.141 (67.087)
Epoch: [67][5490/7045]	Time 0.264 (0.261)	Data 0.213 (0.199)	Loss 2.6239 (2.6075)	Prec@1 38.281 (37.275)	Prec@5 67.188 (67.087)
Epoch: [67][5500/7045]	Time 0.174 (0.261)	Data 0.124 (0.199)	Loss 2.5005 (2.6075)	Prec@1 41.016 (37.279)	Prec@5 69.531 (67.088)
Epoch: [67][5510/7045]	Time 0.178 (0.261)	Data 0.127 (0.199)	Loss 2.5740 (2.6075)	Prec@1 35.156 (37.278)	Prec@5 66.406 (67.086)
Epoch: [67][5520/7045]	Time 0.102 (0.261)	Data 0.001 (0.199)	Loss 2.4225 (2.6074)	Prec@1 38.672 (37.280)	Prec@5 71.094 (67.086)
Epoch: [67][5530/7045]	Time 0.101 (0.261)	Data 0.004 (0.199)	Loss 2.6535 (2.6076)	Prec@1 36.719 (37.276)	Prec@5 67.188 (67.083)
Epoch: [67][5540/7045]	Time 0.337 (0.262)	Data 0.285 (0.199)	Loss 2.6995 (2.6077)	Prec@1 32.812 (37.274)	Prec@5 67.578 (67.079)
Epoch: [67][5550/7045]	Time 0.113 (0.262)	Data 0.061 (0.199)	Loss 2.5460 (2.6076)	Prec@1 38.672 (37.276)	Prec@5 67.969 (67.081)
Epoch: [67][5560/7045]	Time 0.452 (0.262)	Data 0.400 (0.199)	Loss 2.5623 (2.6077)	Prec@1 37.891 (37.274)	Prec@5 68.750 (67.080)
Epoch: [67][5570/7045]	Time 0.098 (0.262)	Data 0.046 (0.199)	Loss 2.4031 (2.6076)	Prec@1 41.797 (37.274)	Prec@5 69.141 (67.079)
Epoch: [67][5580/7045]	Time 0.458 (0.262)	Data 0.406 (0.199)	Loss 2.7484 (2.6077)	Prec@1 36.719 (37.273)	Prec@5 66.016 (67.078)
Epoch: [67][5590/7045]	Time 0.385 (0.262)	Data 0.334 (0.199)	Loss 2.7655 (2.6077)	Prec@1 32.422 (37.271)	Prec@5 65.234 (67.076)
Epoch: [67][5600/7045]	Time 0.133 (0.262)	Data 0.076 (0.199)	Loss 2.6562 (2.6077)	Prec@1 32.422 (37.270)	Prec@5 67.578 (67.078)
Epoch: [67][5610/7045]	Time 0.550 (0.262)	Data 0.498 (0.199)	Loss 2.4985 (2.6076)	Prec@1 36.328 (37.270)	Prec@5 71.484 (67.079)
Epoch: [67][5620/7045]	Time 0.102 (0.262)	Data 0.001 (0.199)	Loss 2.7206 (2.6076)	Prec@1 36.719 (37.270)	Prec@5 62.891 (67.078)
Epoch: [67][5630/7045]	Time 0.481 (0.262)	Data 0.424 (0.199)	Loss 2.5430 (2.6077)	Prec@1 39.453 (37.270)	Prec@5 69.922 (67.079)
Epoch: [67][5640/7045]	Time 0.151 (0.262)	Data 0.100 (0.199)	Loss 2.5090 (2.6076)	Prec@1 41.406 (37.269)	Prec@5 67.188 (67.080)
Epoch: [67][5650/7045]	Time 0.304 (0.262)	Data 0.253 (0.199)	Loss 2.6321 (2.6076)	Prec@1 34.766 (37.271)	Prec@5 68.359 (67.082)
Epoch: [67][5660/7045]	Time 0.218 (0.262)	Data 0.168 (0.199)	Loss 2.6861 (2.6076)	Prec@1 35.156 (37.269)	Prec@5 66.016 (67.080)
Epoch: [67][5670/7045]	Time 0.102 (0.262)	Data 0.008 (0.199)	Loss 2.7726 (2.6076)	Prec@1 33.203 (37.267)	Prec@5 64.062 (67.080)
Epoch: [67][5680/7045]	Time 1.623 (0.262)	Data 1.563 (0.199)	Loss 2.6511 (2.6076)	Prec@1 33.984 (37.268)	Prec@5 65.234 (67.080)
Epoch: [67][5690/7045]	Time 0.107 (0.262)	Data 0.005 (0.199)	Loss 2.6935 (2.6076)	Prec@1 34.375 (37.268)	Prec@5 66.406 (67.081)
Epoch: [67][5700/7045]	Time 0.303 (0.262)	Data 0.252 (0.199)	Loss 2.4983 (2.6077)	Prec@1 41.406 (37.269)	Prec@5 69.141 (67.082)
Epoch: [67][5710/7045]	Time 0.136 (0.262)	Data 0.084 (0.199)	Loss 2.6913 (2.6077)	Prec@1 34.375 (37.268)	Prec@5 67.969 (67.081)
Epoch: [67][5720/7045]	Time 0.180 (0.262)	Data 0.129 (0.199)	Loss 2.7651 (2.6078)	Prec@1 37.891 (37.269)	Prec@5 62.109 (67.081)
Epoch: [67][5730/7045]	Time 0.357 (0.262)	Data 0.300 (0.199)	Loss 2.6120 (2.6078)	Prec@1 36.719 (37.268)	Prec@5 67.578 (67.079)
Epoch: [67][5740/7045]	Time 0.102 (0.262)	Data 0.001 (0.199)	Loss 2.4720 (2.6077)	Prec@1 38.281 (37.269)	Prec@5 71.875 (67.082)
Epoch: [67][5750/7045]	Time 0.474 (0.262)	Data 0.414 (0.199)	Loss 2.5559 (2.6078)	Prec@1 44.922 (37.268)	Prec@5 69.531 (67.081)
Epoch: [67][5760/7045]	Time 0.103 (0.262)	Data 0.051 (0.199)	Loss 2.6369 (2.6079)	Prec@1 38.672 (37.269)	Prec@5 64.453 (67.079)
Epoch: [67][5770/7045]	Time 0.469 (0.262)	Data 0.414 (0.199)	Loss 2.4957 (2.6078)	Prec@1 42.578 (37.269)	Prec@5 67.188 (67.080)
Epoch: [67][5780/7045]	Time 0.103 (0.262)	Data 0.050 (0.199)	Loss 2.5239 (2.6078)	Prec@1 37.500 (37.267)	Prec@5 66.016 (67.082)
Epoch: [67][5790/7045]	Time 0.459 (0.262)	Data 0.407 (0.199)	Loss 2.7383 (2.6078)	Prec@1 37.109 (37.266)	Prec@5 62.500 (67.079)
Epoch: [67][5800/7045]	Time 0.109 (0.262)	Data 0.001 (0.199)	Loss 2.8258 (2.6079)	Prec@1 34.766 (37.265)	Prec@5 64.844 (67.077)
Epoch: [67][5810/7045]	Time 0.162 (0.262)	Data 0.111 (0.199)	Loss 2.5278 (2.6078)	Prec@1 37.500 (37.267)	Prec@5 71.094 (67.081)
Epoch: [67][5820/7045]	Time 0.199 (0.262)	Data 0.147 (0.199)	Loss 2.3978 (2.6077)	Prec@1 42.969 (37.270)	Prec@5 70.703 (67.083)
Epoch: [67][5830/7045]	Time 0.170 (0.262)	Data 0.118 (0.199)	Loss 2.5047 (2.6077)	Prec@1 41.016 (37.270)	Prec@5 71.094 (67.082)
Epoch: [67][5840/7045]	Time 0.224 (0.262)	Data 0.173 (0.199)	Loss 2.4683 (2.6077)	Prec@1 41.406 (37.271)	Prec@5 70.312 (67.080)
Epoch: [67][5850/7045]	Time 0.102 (0.262)	Data 0.001 (0.199)	Loss 2.8243 (2.6077)	Prec@1 34.375 (37.270)	Prec@5 61.328 (67.079)
Epoch: [67][5860/7045]	Time 0.224 (0.262)	Data 0.167 (0.199)	Loss 2.7168 (2.6078)	Prec@1 32.812 (37.267)	Prec@5 63.672 (67.078)
Epoch: [67][5870/7045]	Time 0.143 (0.262)	Data 0.092 (0.199)	Loss 2.7449 (2.6078)	Prec@1 34.375 (37.267)	Prec@5 62.891 (67.077)
Epoch: [67][5880/7045]	Time 0.105 (0.262)	Data 0.052 (0.199)	Loss 2.4902 (2.6077)	Prec@1 40.625 (37.267)	Prec@5 71.484 (67.078)
Epoch: [67][5890/7045]	Time 0.102 (0.262)	Data 0.001 (0.199)	Loss 2.6818 (2.6077)	Prec@1 37.500 (37.266)	Prec@5 64.453 (67.078)
Epoch: [67][5900/7045]	Time 0.100 (0.262)	Data 0.001 (0.199)	Loss 2.7061 (2.6077)	Prec@1 37.891 (37.267)	Prec@5 63.672 (67.077)
Epoch: [67][5910/7045]	Time 0.528 (0.262)	Data 0.475 (0.199)	Loss 2.7335 (2.6077)	Prec@1 34.375 (37.269)	Prec@5 67.969 (67.078)
Epoch: [67][5920/7045]	Time 0.102 (0.262)	Data 0.001 (0.199)	Loss 2.5995 (2.6077)	Prec@1 35.547 (37.269)	Prec@5 67.188 (67.078)
Epoch: [67][5930/7045]	Time 0.728 (0.262)	Data 0.677 (0.199)	Loss 2.4262 (2.6076)	Prec@1 43.359 (37.271)	Prec@5 71.484 (67.082)
Epoch: [67][5940/7045]	Time 0.162 (0.262)	Data 0.111 (0.199)	Loss 2.7091 (2.6076)	Prec@1 33.594 (37.268)	Prec@5 67.969 (67.082)
Epoch: [67][5950/7045]	Time 0.504 (0.262)	Data 0.452 (0.199)	Loss 2.6937 (2.6075)	Prec@1 39.062 (37.270)	Prec@5 64.062 (67.085)
Epoch: [67][5960/7045]	Time 0.186 (0.262)	Data 0.135 (0.199)	Loss 2.7891 (2.6075)	Prec@1 35.547 (37.271)	Prec@5 62.891 (67.085)
Epoch: [67][5970/7045]	Time 0.319 (0.262)	Data 0.269 (0.199)	Loss 2.4868 (2.6075)	Prec@1 41.016 (37.270)	Prec@5 69.922 (67.085)
Epoch: [67][5980/7045]	Time 0.298 (0.262)	Data 0.246 (0.199)	Loss 2.5524 (2.6076)	Prec@1 39.062 (37.269)	Prec@5 66.016 (67.082)
Epoch: [67][5990/7045]	Time 0.102 (0.262)	Data 0.001 (0.199)	Loss 2.7914 (2.6076)	Prec@1 32.422 (37.267)	Prec@5 65.234 (67.083)
Epoch: [67][6000/7045]	Time 0.108 (0.263)	Data 0.001 (0.200)	Loss 2.4312 (2.6077)	Prec@1 39.453 (37.265)	Prec@5 68.359 (67.081)
Epoch: [67][6010/7045]	Time 0.102 (0.263)	Data 0.050 (0.199)	Loss 2.4547 (2.6076)	Prec@1 36.719 (37.265)	Prec@5 72.266 (67.083)
Epoch: [67][6020/7045]	Time 0.116 (0.263)	Data 0.064 (0.199)	Loss 2.5978 (2.6075)	Prec@1 37.891 (37.265)	Prec@5 63.672 (67.085)
Epoch: [67][6030/7045]	Time 0.254 (0.263)	Data 0.202 (0.199)	Loss 2.4188 (2.6074)	Prec@1 41.016 (37.267)	Prec@5 69.141 (67.086)
Epoch: [67][6040/7045]	Time 0.253 (0.263)	Data 0.202 (0.199)	Loss 2.4879 (2.6073)	Prec@1 41.797 (37.270)	Prec@5 70.703 (67.088)
Epoch: [67][6050/7045]	Time 0.316 (0.263)	Data 0.265 (0.200)	Loss 2.5264 (2.6072)	Prec@1 35.156 (37.271)	Prec@5 67.578 (67.088)
Epoch: [67][6060/7045]	Time 0.121 (0.262)	Data 0.068 (0.199)	Loss 2.6440 (2.6071)	Prec@1 38.672 (37.273)	Prec@5 66.797 (67.090)
Epoch: [67][6070/7045]	Time 0.293 (0.263)	Data 0.241 (0.200)	Loss 2.4295 (2.6071)	Prec@1 42.188 (37.274)	Prec@5 67.969 (67.090)
Epoch: [67][6080/7045]	Time 0.099 (0.263)	Data 0.044 (0.200)	Loss 2.5954 (2.6070)	Prec@1 31.641 (37.275)	Prec@5 69.531 (67.093)
Epoch: [67][6090/7045]	Time 0.497 (0.263)	Data 0.446 (0.200)	Loss 2.4839 (2.6069)	Prec@1 37.891 (37.276)	Prec@5 69.922 (67.093)
Epoch: [67][6100/7045]	Time 0.159 (0.263)	Data 0.108 (0.200)	Loss 2.6995 (2.6070)	Prec@1 36.719 (37.276)	Prec@5 67.578 (67.092)
Epoch: [67][6110/7045]	Time 0.273 (0.263)	Data 0.221 (0.200)	Loss 2.5856 (2.6070)	Prec@1 35.938 (37.277)	Prec@5 66.016 (67.091)
Epoch: [67][6120/7045]	Time 0.162 (0.263)	Data 0.104 (0.200)	Loss 2.5538 (2.6070)	Prec@1 35.938 (37.275)	Prec@5 67.188 (67.088)
Epoch: [67][6130/7045]	Time 0.409 (0.263)	Data 0.358 (0.200)	Loss 2.6672 (2.6071)	Prec@1 36.719 (37.273)	Prec@5 62.891 (67.085)
Epoch: [67][6140/7045]	Time 0.102 (0.263)	Data 0.003 (0.200)	Loss 2.7693 (2.6072)	Prec@1 35.156 (37.274)	Prec@5 63.281 (67.084)
Epoch: [67][6150/7045]	Time 0.543 (0.263)	Data 0.492 (0.200)	Loss 2.5968 (2.6073)	Prec@1 37.109 (37.272)	Prec@5 66.406 (67.080)
Epoch: [67][6160/7045]	Time 0.104 (0.263)	Data 0.053 (0.200)	Loss 2.6118 (2.6073)	Prec@1 35.938 (37.272)	Prec@5 66.016 (67.081)
Epoch: [67][6170/7045]	Time 0.416 (0.263)	Data 0.364 (0.200)	Loss 2.3738 (2.6072)	Prec@1 37.500 (37.272)	Prec@5 71.094 (67.084)
Epoch: [67][6180/7045]	Time 0.103 (0.263)	Data 0.001 (0.200)	Loss 2.5888 (2.6073)	Prec@1 37.500 (37.271)	Prec@5 66.406 (67.083)
Epoch: [67][6190/7045]	Time 0.110 (0.263)	Data 0.057 (0.200)	Loss 2.5387 (2.6073)	Prec@1 39.062 (37.270)	Prec@5 68.359 (67.082)
Epoch: [67][6200/7045]	Time 0.102 (0.262)	Data 0.001 (0.199)	Loss 2.5583 (2.6073)	Prec@1 38.281 (37.273)	Prec@5 72.656 (67.084)
Epoch: [67][6210/7045]	Time 0.108 (0.262)	Data 0.002 (0.199)	Loss 2.7154 (2.6073)	Prec@1 35.938 (37.274)	Prec@5 62.109 (67.082)
Epoch: [67][6220/7045]	Time 0.101 (0.263)	Data 0.009 (0.200)	Loss 2.5947 (2.6073)	Prec@1 35.156 (37.275)	Prec@5 67.969 (67.083)
Epoch: [67][6230/7045]	Time 0.100 (0.263)	Data 0.045 (0.200)	Loss 2.5504 (2.6073)	Prec@1 39.453 (37.275)	Prec@5 69.922 (67.082)
Epoch: [67][6240/7045]	Time 0.298 (0.263)	Data 0.247 (0.200)	Loss 2.5487 (2.6072)	Prec@1 42.578 (37.277)	Prec@5 67.188 (67.086)
Epoch: [67][6250/7045]	Time 0.273 (0.263)	Data 0.220 (0.200)	Loss 2.4821 (2.6072)	Prec@1 37.500 (37.276)	Prec@5 71.875 (67.087)
Epoch: [67][6260/7045]	Time 0.103 (0.263)	Data 0.005 (0.200)	Loss 2.6997 (2.6071)	Prec@1 39.062 (37.276)	Prec@5 67.578 (67.087)
Epoch: [67][6270/7045]	Time 0.381 (0.263)	Data 0.329 (0.200)	Loss 2.4973 (2.6070)	Prec@1 39.062 (37.278)	Prec@5 68.750 (67.089)
Epoch: [67][6280/7045]	Time 0.211 (0.263)	Data 0.159 (0.200)	Loss 2.6869 (2.6070)	Prec@1 35.156 (37.277)	Prec@5 66.016 (67.086)
Epoch: [67][6290/7045]	Time 2.036 (0.263)	Data 1.984 (0.200)	Loss 2.5959 (2.6069)	Prec@1 39.062 (37.278)	Prec@5 67.188 (67.089)
Epoch: [67][6300/7045]	Time 0.101 (0.263)	Data 0.001 (0.200)	Loss 2.7023 (2.6069)	Prec@1 34.766 (37.277)	Prec@5 62.500 (67.086)
Epoch: [67][6310/7045]	Time 0.528 (0.263)	Data 0.476 (0.200)	Loss 2.5068 (2.6070)	Prec@1 38.672 (37.276)	Prec@5 69.922 (67.085)
Epoch: [67][6320/7045]	Time 0.326 (0.263)	Data 0.275 (0.200)	Loss 2.6229 (2.6068)	Prec@1 38.672 (37.279)	Prec@5 64.844 (67.087)
Epoch: [67][6330/7045]	Time 0.261 (0.263)	Data 0.203 (0.200)	Loss 2.6965 (2.6068)	Prec@1 29.688 (37.279)	Prec@5 64.062 (67.088)
Epoch: [67][6340/7045]	Time 0.330 (0.263)	Data 0.280 (0.200)	Loss 2.6786 (2.6069)	Prec@1 37.109 (37.279)	Prec@5 63.672 (67.087)
Epoch: [67][6350/7045]	Time 0.158 (0.263)	Data 0.106 (0.200)	Loss 2.8076 (2.6069)	Prec@1 30.859 (37.277)	Prec@5 64.062 (67.087)
Epoch: [67][6360/7045]	Time 0.225 (0.263)	Data 0.173 (0.200)	Loss 2.6373 (2.6070)	Prec@1 37.109 (37.276)	Prec@5 68.359 (67.085)
Epoch: [67][6370/7045]	Time 0.107 (0.263)	Data 0.004 (0.200)	Loss 2.5739 (2.6069)	Prec@1 38.672 (37.277)	Prec@5 67.578 (67.086)
Epoch: [67][6380/7045]	Time 0.376 (0.263)	Data 0.324 (0.200)	Loss 2.7073 (2.6069)	Prec@1 34.375 (37.278)	Prec@5 64.844 (67.086)
Epoch: [67][6390/7045]	Time 0.103 (0.263)	Data 0.003 (0.200)	Loss 2.3924 (2.6068)	Prec@1 37.109 (37.280)	Prec@5 71.875 (67.089)
Epoch: [67][6400/7045]	Time 0.536 (0.263)	Data 0.487 (0.200)	Loss 2.6239 (2.6069)	Prec@1 36.719 (37.279)	Prec@5 71.484 (67.089)
Epoch: [67][6410/7045]	Time 0.278 (0.263)	Data 0.221 (0.200)	Loss 2.5016 (2.6069)	Prec@1 36.328 (37.277)	Prec@5 68.750 (67.089)
Epoch: [67][6420/7045]	Time 0.395 (0.263)	Data 0.344 (0.200)	Loss 2.5384 (2.6069)	Prec@1 36.719 (37.278)	Prec@5 63.672 (67.090)
Epoch: [67][6430/7045]	Time 0.190 (0.263)	Data 0.139 (0.200)	Loss 2.7158 (2.6069)	Prec@1 35.156 (37.277)	Prec@5 63.672 (67.088)
Epoch: [67][6440/7045]	Time 0.336 (0.263)	Data 0.286 (0.200)	Loss 2.5648 (2.6070)	Prec@1 35.156 (37.275)	Prec@5 66.797 (67.086)
Epoch: [67][6450/7045]	Time 0.282 (0.263)	Data 0.225 (0.200)	Loss 2.7953 (2.6070)	Prec@1 32.031 (37.275)	Prec@5 67.188 (67.086)
Epoch: [67][6460/7045]	Time 0.305 (0.263)	Data 0.255 (0.200)	Loss 2.7273 (2.6071)	Prec@1 32.812 (37.272)	Prec@5 67.969 (67.085)
Epoch: [67][6470/7045]	Time 0.407 (0.263)	Data 0.356 (0.200)	Loss 2.5490 (2.6072)	Prec@1 36.328 (37.272)	Prec@5 67.188 (67.084)
Epoch: [67][6480/7045]	Time 0.209 (0.263)	Data 0.157 (0.200)	Loss 2.5934 (2.6071)	Prec@1 39.062 (37.274)	Prec@5 67.578 (67.084)
Epoch: [67][6490/7045]	Time 0.101 (0.263)	Data 0.008 (0.200)	Loss 2.5291 (2.6071)	Prec@1 34.766 (37.273)	Prec@5 69.141 (67.085)
Epoch: [67][6500/7045]	Time 0.102 (0.263)	Data 0.003 (0.200)	Loss 2.5936 (2.6071)	Prec@1 33.984 (37.274)	Prec@5 65.234 (67.085)
Epoch: [67][6510/7045]	Time 0.101 (0.262)	Data 0.001 (0.200)	Loss 2.6472 (2.6071)	Prec@1 37.500 (37.273)	Prec@5 64.453 (67.086)
Epoch: [67][6520/7045]	Time 0.160 (0.262)	Data 0.108 (0.199)	Loss 2.6884 (2.6071)	Prec@1 37.109 (37.273)	Prec@5 65.234 (67.085)
Epoch: [67][6530/7045]	Time 0.396 (0.262)	Data 0.344 (0.200)	Loss 2.5080 (2.6071)	Prec@1 38.672 (37.272)	Prec@5 66.016 (67.085)
Epoch: [67][6540/7045]	Time 0.102 (0.262)	Data 0.003 (0.199)	Loss 2.6814 (2.6071)	Prec@1 35.938 (37.271)	Prec@5 63.672 (67.085)
Epoch: [67][6550/7045]	Time 1.645 (0.263)	Data 1.584 (0.200)	Loss 2.3902 (2.6070)	Prec@1 40.625 (37.273)	Prec@5 72.266 (67.087)
Epoch: [67][6560/7045]	Time 0.100 (0.262)	Data 0.002 (0.199)	Loss 2.6180 (2.6070)	Prec@1 37.500 (37.274)	Prec@5 66.016 (67.089)
Epoch: [67][6570/7045]	Time 0.222 (0.262)	Data 0.163 (0.199)	Loss 2.7172 (2.6070)	Prec@1 34.375 (37.273)	Prec@5 64.844 (67.088)
Epoch: [67][6580/7045]	Time 0.296 (0.262)	Data 0.245 (0.199)	Loss 2.7200 (2.6070)	Prec@1 33.594 (37.273)	Prec@5 66.016 (67.089)
Epoch: [67][6590/7045]	Time 0.239 (0.262)	Data 0.182 (0.199)	Loss 2.6787 (2.6071)	Prec@1 34.766 (37.271)	Prec@5 67.578 (67.088)
Epoch: [67][6600/7045]	Time 0.501 (0.262)	Data 0.450 (0.199)	Loss 2.6230 (2.6070)	Prec@1 38.281 (37.272)	Prec@5 62.891 (67.090)
Epoch: [67][6610/7045]	Time 0.272 (0.262)	Data 0.221 (0.199)	Loss 2.5518 (2.6072)	Prec@1 35.547 (37.269)	Prec@5 69.922 (67.088)
Epoch: [67][6620/7045]	Time 0.451 (0.262)	Data 0.398 (0.199)	Loss 2.5914 (2.6071)	Prec@1 41.016 (37.270)	Prec@5 68.750 (67.089)
Epoch: [67][6630/7045]	Time 0.131 (0.262)	Data 0.078 (0.199)	Loss 2.7029 (2.6071)	Prec@1 34.766 (37.270)	Prec@5 66.406 (67.088)
Epoch: [67][6640/7045]	Time 0.382 (0.262)	Data 0.330 (0.199)	Loss 2.5449 (2.6071)	Prec@1 40.625 (37.270)	Prec@5 71.875 (67.088)
Epoch: [67][6650/7045]	Time 0.135 (0.262)	Data 0.083 (0.199)	Loss 2.5512 (2.6071)	Prec@1 35.938 (37.267)	Prec@5 67.969 (67.089)
Epoch: [67][6660/7045]	Time 0.383 (0.262)	Data 0.326 (0.199)	Loss 2.5808 (2.6071)	Prec@1 38.281 (37.268)	Prec@5 68.750 (67.091)
Epoch: [67][6670/7045]	Time 0.105 (0.262)	Data 0.052 (0.199)	Loss 2.6472 (2.6071)	Prec@1 33.203 (37.267)	Prec@5 67.188 (67.092)
Epoch: [67][6680/7045]	Time 0.470 (0.262)	Data 0.418 (0.199)	Loss 2.4593 (2.6072)	Prec@1 39.062 (37.265)	Prec@5 69.922 (67.089)
Epoch: [67][6690/7045]	Time 0.102 (0.262)	Data 0.001 (0.199)	Loss 2.4979 (2.6072)	Prec@1 35.547 (37.264)	Prec@5 72.266 (67.090)
Epoch: [67][6700/7045]	Time 0.350 (0.262)	Data 0.299 (0.199)	Loss 2.4762 (2.6071)	Prec@1 40.234 (37.267)	Prec@5 71.875 (67.092)
Epoch: [67][6710/7045]	Time 0.241 (0.262)	Data 0.191 (0.199)	Loss 2.6227 (2.6071)	Prec@1 39.453 (37.267)	Prec@5 67.188 (67.092)
Epoch: [67][6720/7045]	Time 0.321 (0.262)	Data 0.271 (0.199)	Loss 2.7975 (2.6071)	Prec@1 35.938 (37.268)	Prec@5 66.406 (67.091)
Epoch: [67][6730/7045]	Time 0.216 (0.262)	Data 0.164 (0.199)	Loss 2.8785 (2.6072)	Prec@1 35.938 (37.269)	Prec@5 60.938 (67.090)
Epoch: [67][6740/7045]	Time 0.102 (0.262)	Data 0.050 (0.199)	Loss 2.5683 (2.6071)	Prec@1 36.328 (37.268)	Prec@5 69.531 (67.091)
Epoch: [67][6750/7045]	Time 0.284 (0.262)	Data 0.231 (0.199)	Loss 2.4120 (2.6071)	Prec@1 40.234 (37.269)	Prec@5 69.922 (67.092)
Epoch: [67][6760/7045]	Time 0.102 (0.262)	Data 0.001 (0.199)	Loss 2.6702 (2.6070)	Prec@1 35.547 (37.269)	Prec@5 64.062 (67.094)
Epoch: [67][6770/7045]	Time 0.120 (0.262)	Data 0.069 (0.199)	Loss 2.7154 (2.6071)	Prec@1 34.766 (37.267)	Prec@5 67.578 (67.091)
Epoch: [67][6780/7045]	Time 0.101 (0.262)	Data 0.004 (0.199)	Loss 2.3242 (2.6071)	Prec@1 38.281 (37.266)	Prec@5 73.828 (67.092)
Epoch: [67][6790/7045]	Time 0.135 (0.262)	Data 0.084 (0.199)	Loss 2.5874 (2.6071)	Prec@1 39.062 (37.267)	Prec@5 68.750 (67.093)
Epoch: [67][6800/7045]	Time 0.277 (0.262)	Data 0.226 (0.199)	Loss 2.5310 (2.6071)	Prec@1 34.766 (37.268)	Prec@5 66.797 (67.094)
Epoch: [67][6810/7045]	Time 0.102 (0.262)	Data 0.001 (0.199)	Loss 2.6593 (2.6071)	Prec@1 32.031 (37.267)	Prec@5 61.719 (67.093)
Epoch: [67][6820/7045]	Time 0.467 (0.262)	Data 0.415 (0.199)	Loss 2.5021 (2.6070)	Prec@1 36.328 (37.268)	Prec@5 67.188 (67.093)
Epoch: [67][6830/7045]	Time 0.114 (0.262)	Data 0.061 (0.199)	Loss 2.5364 (2.6070)	Prec@1 35.938 (37.269)	Prec@5 69.922 (67.094)
Epoch: [67][6840/7045]	Time 0.409 (0.262)	Data 0.359 (0.199)	Loss 2.6386 (2.6070)	Prec@1 32.031 (37.266)	Prec@5 67.188 (67.092)
Epoch: [67][6850/7045]	Time 0.303 (0.262)	Data 0.244 (0.199)	Loss 2.6351 (2.6070)	Prec@1 35.156 (37.267)	Prec@5 63.281 (67.093)
Epoch: [67][6860/7045]	Time 0.372 (0.262)	Data 0.321 (0.199)	Loss 2.6516 (2.6069)	Prec@1 36.328 (37.265)	Prec@5 63.281 (67.091)
Epoch: [67][6870/7045]	Time 0.390 (0.262)	Data 0.331 (0.199)	Loss 2.7394 (2.6070)	Prec@1 35.938 (37.264)	Prec@5 63.672 (67.090)
Epoch: [67][6880/7045]	Time 0.246 (0.262)	Data 0.195 (0.199)	Loss 2.5888 (2.6071)	Prec@1 38.281 (37.263)	Prec@5 66.016 (67.088)
Epoch: [67][6890/7045]	Time 0.307 (0.262)	Data 0.249 (0.199)	Loss 2.6202 (2.6072)	Prec@1 38.672 (37.261)	Prec@5 66.406 (67.087)
Epoch: [67][6900/7045]	Time 0.205 (0.262)	Data 0.153 (0.199)	Loss 2.7603 (2.6072)	Prec@1 34.375 (37.261)	Prec@5 64.453 (67.086)
Epoch: [67][6910/7045]	Time 0.362 (0.262)	Data 0.311 (0.199)	Loss 2.5246 (2.6071)	Prec@1 39.844 (37.262)	Prec@5 69.141 (67.088)
Epoch: [67][6920/7045]	Time 0.246 (0.262)	Data 0.196 (0.199)	Loss 2.5867 (2.6071)	Prec@1 35.938 (37.259)	Prec@5 65.625 (67.088)
Epoch: [67][6930/7045]	Time 0.281 (0.262)	Data 0.230 (0.199)	Loss 2.6933 (2.6071)	Prec@1 29.688 (37.258)	Prec@5 66.797 (67.089)
Epoch: [67][6940/7045]	Time 0.103 (0.261)	Data 0.051 (0.199)	Loss 2.5127 (2.6071)	Prec@1 38.672 (37.259)	Prec@5 68.750 (67.090)
Epoch: [67][6950/7045]	Time 0.170 (0.262)	Data 0.119 (0.199)	Loss 2.9064 (2.6071)	Prec@1 33.203 (37.258)	Prec@5 59.375 (67.089)
Epoch: [67][6960/7045]	Time 0.102 (0.262)	Data 0.014 (0.199)	Loss 2.5547 (2.6071)	Prec@1 38.672 (37.258)	Prec@5 67.188 (67.091)
Epoch: [67][6970/7045]	Time 0.330 (0.262)	Data 0.279 (0.199)	Loss 2.7766 (2.6071)	Prec@1 33.594 (37.258)	Prec@5 63.281 (67.090)
Epoch: [67][6980/7045]	Time 0.102 (0.262)	Data 0.001 (0.199)	Loss 2.6139 (2.6071)	Prec@1 35.938 (37.260)	Prec@5 67.188 (67.092)
Epoch: [67][6990/7045]	Time 0.102 (0.262)	Data 0.009 (0.199)	Loss 2.7189 (2.6071)	Prec@1 33.203 (37.260)	Prec@5 63.281 (67.090)
Epoch: [67][7000/7045]	Time 0.133 (0.262)	Data 0.081 (0.199)	Loss 2.4492 (2.6071)	Prec@1 37.109 (37.260)	Prec@5 72.266 (67.090)
Epoch: [67][7010/7045]	Time 0.230 (0.262)	Data 0.177 (0.199)	Loss 2.6872 (2.6070)	Prec@1 35.156 (37.261)	Prec@5 67.188 (67.092)
Epoch: [67][7020/7045]	Time 0.188 (0.262)	Data 0.137 (0.199)	Loss 2.6201 (2.6069)	Prec@1 40.234 (37.261)	Prec@5 62.891 (67.093)
Epoch: [67][7030/7045]	Time 0.214 (0.262)	Data 0.162 (0.199)	Loss 2.5303 (2.6070)	Prec@1 37.500 (37.260)	Prec@5 67.969 (67.091)
Epoch: [67][7040/7045]	Time 0.102 (0.262)	Data 0.000 (0.199)	Loss 2.5634 (2.6070)	Prec@1 39.062 (37.261)	Prec@5 67.188 (67.091)
Test: [0/143]	Time 2.850 (2.850)	Loss 2.2138 (2.2138)	Prec@1 47.656 (47.656)	Prec@5 76.953 (76.953)
Test: [10/143]	Time 0.049 (0.392)	Loss 1.7376 (2.0219)	Prec@1 58.594 (49.006)	Prec@5 82.812 (79.368)
Test: [20/143]	Time 0.471 (0.304)	Loss 2.2433 (2.0185)	Prec@1 44.141 (48.196)	Prec@5 76.562 (79.557)
Test: [30/143]	Time 0.061 (0.254)	Loss 2.2365 (2.0386)	Prec@1 48.047 (48.261)	Prec@5 71.094 (78.453)
Test: [40/143]	Time 0.129 (0.235)	Loss 2.7645 (2.0815)	Prec@1 25.000 (47.104)	Prec@5 67.578 (77.677)
Test: [50/143]	Time 0.059 (0.223)	Loss 2.0311 (2.1327)	Prec@1 39.453 (45.343)	Prec@5 82.031 (77.106)
Test: [60/143]	Time 0.481 (0.221)	Loss 2.3830 (2.1271)	Prec@1 35.547 (45.441)	Prec@5 75.391 (77.209)
Test: [70/143]	Time 0.367 (0.214)	Loss 2.9839 (2.1257)	Prec@1 26.953 (45.500)	Prec@5 60.938 (77.234)
Test: [80/143]	Time 0.237 (0.207)	Loss 2.1230 (2.1208)	Prec@1 45.312 (45.708)	Prec@5 78.516 (77.281)
Test: [90/143]	Time 0.179 (0.202)	Loss 1.8218 (2.1197)	Prec@1 54.688 (45.669)	Prec@5 85.156 (77.236)
Test: [100/143]	Time 0.059 (0.200)	Loss 1.9185 (2.1213)	Prec@1 51.562 (45.568)	Prec@5 83.594 (77.247)
Test: [110/143]	Time 0.376 (0.199)	Loss 1.9713 (2.1179)	Prec@1 50.391 (45.854)	Prec@5 78.125 (77.298)
Test: [120/143]	Time 0.049 (0.195)	Loss 1.8339 (2.1077)	Prec@1 55.469 (46.174)	Prec@5 85.547 (77.476)
Test: [130/143]	Time 0.300 (0.195)	Loss 1.6583 (2.1151)	Prec@1 65.234 (46.106)	Prec@5 79.297 (77.236)
Test: [140/143]	Time 0.214 (0.192)	Loss 3.1166 (2.1396)	Prec@1 21.484 (45.509)	Prec@5 60.938 (76.748)
 * Prec@1 45.523 Prec@5 76.764
Epoch: [68][0/7045]	Time 2.216 (2.216)	Data 2.163 (2.163)	Loss 2.7056 (2.7056)	Prec@1 35.547 (35.547)	Prec@5 65.625 (65.625)
Epoch: [68][10/7045]	Time 0.107 (0.405)	Data 0.001 (0.323)	Loss 2.3220 (2.5564)	Prec@1 41.406 (37.464)	Prec@5 74.219 (68.288)
Epoch: [68][20/7045]	Time 0.609 (0.360)	Data 0.549 (0.282)	Loss 2.7329 (2.5435)	Prec@1 31.641 (38.132)	Prec@5 67.578 (68.545)
Epoch: [68][30/7045]	Time 0.103 (0.319)	Data 0.002 (0.245)	Loss 2.6630 (2.5633)	Prec@1 39.453 (38.269)	Prec@5 66.016 (68.032)
Epoch: [68][40/7045]	Time 0.413 (0.306)	Data 0.362 (0.232)	Loss 2.6028 (2.5685)	Prec@1 36.328 (38.176)	Prec@5 69.141 (68.121)
Epoch: [68][50/7045]	Time 0.133 (0.296)	Data 0.082 (0.225)	Loss 2.6979 (2.5689)	Prec@1 33.203 (38.174)	Prec@5 61.719 (68.030)
Epoch: [68][60/7045]	Time 0.459 (0.291)	Data 0.407 (0.222)	Loss 2.8303 (2.5723)	Prec@1 35.156 (38.192)	Prec@5 63.672 (67.860)
Epoch: [68][70/7045]	Time 0.101 (0.283)	Data 0.048 (0.216)	Loss 2.4929 (2.5747)	Prec@1 37.891 (38.193)	Prec@5 69.141 (67.875)
Epoch: [68][80/7045]	Time 0.504 (0.281)	Data 0.452 (0.215)	Loss 2.5188 (2.5788)	Prec@1 38.672 (38.088)	Prec@5 67.578 (67.660)
Epoch: [68][90/7045]	Time 0.102 (0.276)	Data 0.006 (0.209)	Loss 2.6054 (2.5825)	Prec@1 32.812 (37.856)	Prec@5 67.969 (67.604)
Epoch: [68][100/7045]	Time 0.598 (0.282)	Data 0.546 (0.216)	Loss 2.6181 (2.5867)	Prec@1 35.547 (37.879)	Prec@5 67.188 (67.563)
Epoch: [68][110/7045]	Time 0.107 (0.277)	Data 0.001 (0.212)	Loss 2.7269 (2.5906)	Prec@1 33.203 (37.637)	Prec@5 66.797 (67.430)
Epoch: [68][120/7045]	Time 0.576 (0.276)	Data 0.524 (0.210)	Loss 2.5155 (2.5881)	Prec@1 40.234 (37.645)	Prec@5 69.141 (67.455)
Epoch: [68][130/7045]	Time 0.102 (0.272)	Data 0.049 (0.207)	Loss 2.6292 (2.5903)	Prec@1 37.109 (37.601)	Prec@5 68.359 (67.450)
Epoch: [68][140/7045]	Time 0.735 (0.273)	Data 0.684 (0.207)	Loss 2.4901 (2.5912)	Prec@1 39.453 (37.553)	Prec@5 69.141 (67.420)
Epoch: [68][150/7045]	Time 0.105 (0.269)	Data 0.053 (0.202)	Loss 2.5624 (2.5899)	Prec@1 39.062 (37.559)	Prec@5 67.969 (67.400)
Epoch: [68][160/7045]	Time 0.478 (0.269)	Data 0.427 (0.202)	Loss 2.5457 (2.5869)	Prec@1 35.938 (37.624)	Prec@5 66.016 (67.394)
Epoch: [68][170/7045]	Time 0.122 (0.266)	Data 0.071 (0.200)	Loss 2.4471 (2.5886)	Prec@1 42.578 (37.612)	Prec@5 69.141 (67.377)
Epoch: [68][180/7045]	Time 0.486 (0.266)	Data 0.435 (0.201)	Loss 2.4288 (2.5888)	Prec@1 36.719 (37.636)	Prec@5 70.703 (67.304)
Epoch: [68][190/7045]	Time 0.230 (0.264)	Data 0.178 (0.200)	Loss 2.5308 (2.5880)	Prec@1 39.453 (37.645)	Prec@5 69.141 (67.310)
Epoch: [68][200/7045]	Time 0.281 (0.266)	Data 0.230 (0.201)	Loss 2.3759 (2.5874)	Prec@1 39.062 (37.657)	Prec@5 70.703 (67.349)
Epoch: [68][210/7045]	Time 0.101 (0.265)	Data 0.049 (0.201)	Loss 2.5214 (2.5864)	Prec@1 39.844 (37.672)	Prec@5 68.750 (67.395)
Epoch: [68][220/7045]	Time 0.102 (0.265)	Data 0.013 (0.200)	Loss 2.6183 (2.5871)	Prec@1 37.500 (37.682)	Prec@5 66.406 (67.428)
Epoch: [68][230/7045]	Time 0.429 (0.265)	Data 0.378 (0.201)	Loss 2.6480 (2.5882)	Prec@1 36.328 (37.659)	Prec@5 65.625 (67.406)
Epoch: [68][240/7045]	Time 0.280 (0.264)	Data 0.230 (0.200)	Loss 2.5894 (2.5895)	Prec@1 36.328 (37.630)	Prec@5 66.406 (67.377)
Epoch: [68][250/7045]	Time 0.517 (0.264)	Data 0.467 (0.200)	Loss 2.7045 (2.5900)	Prec@1 35.156 (37.559)	Prec@5 65.234 (67.394)
Epoch: [68][260/7045]	Time 0.102 (0.269)	Data 0.001 (0.205)	Loss 2.8363 (2.5889)	Prec@1 31.250 (37.618)	Prec@5 63.672 (67.387)
Epoch: [68][270/7045]	Time 0.405 (0.269)	Data 0.355 (0.205)	Loss 2.4954 (2.5878)	Prec@1 36.328 (37.635)	Prec@5 67.188 (67.382)
Epoch: [68][280/7045]	Time 0.102 (0.267)	Data 0.046 (0.204)	Loss 2.5927 (2.5865)	Prec@1 38.281 (37.658)	Prec@5 70.312 (67.393)
Epoch: [68][290/7045]	Time 0.426 (0.268)	Data 0.374 (0.204)	Loss 2.4707 (2.5873)	Prec@1 37.891 (37.625)	Prec@5 70.312 (67.397)
Epoch: [68][300/7045]	Time 0.102 (0.266)	Data 0.050 (0.202)	Loss 2.5566 (2.5856)	Prec@1 35.547 (37.645)	Prec@5 66.016 (67.420)
Epoch: [68][310/7045]	Time 0.210 (0.266)	Data 0.159 (0.202)	Loss 2.5793 (2.5874)	Prec@1 36.719 (37.589)	Prec@5 67.578 (67.396)
Epoch: [68][320/7045]	Time 0.108 (0.265)	Data 0.056 (0.201)	Loss 2.6369 (2.5887)	Prec@1 37.891 (37.557)	Prec@5 66.016 (67.359)
Epoch: [68][330/7045]	Time 0.186 (0.270)	Data 0.136 (0.207)	Loss 2.5289 (2.5890)	Prec@1 36.719 (37.527)	Prec@5 68.359 (67.343)
Epoch: [68][340/7045]	Time 0.272 (0.270)	Data 0.222 (0.207)	Loss 2.6177 (2.5889)	Prec@1 42.188 (37.553)	Prec@5 67.578 (67.357)
Epoch: [68][350/7045]	Time 0.107 (0.269)	Data 0.055 (0.206)	Loss 2.5326 (2.5874)	Prec@1 39.844 (37.616)	Prec@5 70.312 (67.373)
Epoch: [68][360/7045]	Time 0.110 (0.269)	Data 0.001 (0.206)	Loss 2.5314 (2.5881)	Prec@1 38.281 (37.577)	Prec@5 69.531 (67.344)
Epoch: [68][370/7045]	Time 0.297 (0.268)	Data 0.246 (0.205)	Loss 2.6031 (2.5882)	Prec@1 34.375 (37.573)	Prec@5 68.359 (67.328)
Epoch: [68][380/7045]	Time 0.352 (0.268)	Data 0.301 (0.206)	Loss 2.5639 (2.5867)	Prec@1 38.672 (37.596)	Prec@5 68.750 (67.354)
Epoch: [68][390/7045]	Time 0.387 (0.268)	Data 0.335 (0.205)	Loss 2.7655 (2.5875)	Prec@1 33.203 (37.584)	Prec@5 64.453 (67.324)
Epoch: [68][400/7045]	Time 0.408 (0.270)	Data 0.357 (0.208)	Loss 2.4767 (2.5871)	Prec@1 43.750 (37.601)	Prec@5 70.312 (67.335)
Epoch: [68][410/7045]	Time 0.102 (0.270)	Data 0.009 (0.207)	Loss 2.4378 (2.5886)	Prec@1 41.406 (37.583)	Prec@5 69.922 (67.299)
Epoch: [68][420/7045]	Time 0.152 (0.269)	Data 0.101 (0.206)	Loss 2.6189 (2.5900)	Prec@1 32.031 (37.522)	Prec@5 68.359 (67.263)
Epoch: [68][430/7045]	Time 0.199 (0.269)	Data 0.146 (0.206)	Loss 2.6623 (2.5907)	Prec@1 36.719 (37.508)	Prec@5 66.016 (67.245)
Epoch: [68][440/7045]	Time 0.148 (0.268)	Data 0.096 (0.205)	Loss 2.5669 (2.5903)	Prec@1 38.672 (37.511)	Prec@5 70.312 (67.283)
Epoch: [68][450/7045]	Time 0.107 (0.268)	Data 0.043 (0.205)	Loss 2.4870 (2.5889)	Prec@1 35.156 (37.543)	Prec@5 70.312 (67.317)
Epoch: [68][460/7045]	Time 0.405 (0.267)	Data 0.354 (0.205)	Loss 2.5658 (2.5890)	Prec@1 40.625 (37.577)	Prec@5 66.797 (67.327)
Epoch: [68][470/7045]	Time 0.246 (0.267)	Data 0.195 (0.205)	Loss 2.5945 (2.5896)	Prec@1 37.109 (37.579)	Prec@5 67.969 (67.306)
Epoch: [68][480/7045]	Time 0.530 (0.268)	Data 0.478 (0.206)	Loss 2.4403 (2.5909)	Prec@1 36.328 (37.556)	Prec@5 69.531 (67.296)
Epoch: [68][490/7045]	Time 0.101 (0.267)	Data 0.008 (0.205)	Loss 2.7724 (2.5910)	Prec@1 35.938 (37.558)	Prec@5 62.109 (67.298)
Epoch: [68][500/7045]	Time 0.452 (0.267)	Data 0.401 (0.204)	Loss 2.6847 (2.5909)	Prec@1 37.891 (37.573)	Prec@5 64.062 (67.289)
Epoch: [68][510/7045]	Time 0.439 (0.267)	Data 0.388 (0.204)	Loss 2.6007 (2.5898)	Prec@1 43.359 (37.592)	Prec@5 67.188 (67.311)
Epoch: [68][520/7045]	Time 0.106 (0.266)	Data 0.048 (0.204)	Loss 2.5218 (2.5900)	Prec@1 38.281 (37.600)	Prec@5 70.312 (67.319)
Epoch: [68][530/7045]	Time 0.294 (0.266)	Data 0.243 (0.203)	Loss 2.6642 (2.5899)	Prec@1 37.891 (37.586)	Prec@5 66.406 (67.337)
Epoch: [68][540/7045]	Time 0.101 (0.266)	Data 0.001 (0.203)	Loss 2.6448 (2.5897)	Prec@1 39.844 (37.597)	Prec@5 69.141 (67.348)
Epoch: [68][550/7045]	Time 0.402 (0.265)	Data 0.351 (0.202)	Loss 2.6306 (2.5895)	Prec@1 37.500 (37.599)	Prec@5 66.016 (67.351)
Epoch: [68][560/7045]	Time 0.107 (0.265)	Data 0.054 (0.202)	Loss 2.5427 (2.5906)	Prec@1 34.766 (37.589)	Prec@5 71.094 (67.334)
Epoch: [68][570/7045]	Time 0.293 (0.266)	Data 0.235 (0.203)	Loss 2.5178 (2.5893)	Prec@1 41.406 (37.617)	Prec@5 64.062 (67.365)
Epoch: [68][580/7045]	Time 0.101 (0.269)	Data 0.001 (0.206)	Loss 2.5305 (2.5886)	Prec@1 36.328 (37.616)	Prec@5 68.750 (67.377)
Epoch: [68][590/7045]	Time 0.108 (0.269)	Data 0.004 (0.206)	Loss 2.6716 (2.5892)	Prec@1 34.766 (37.608)	Prec@5 65.625 (67.357)
Epoch: [68][600/7045]	Time 0.102 (0.268)	Data 0.001 (0.205)	Loss 2.5680 (2.5899)	Prec@1 38.672 (37.591)	Prec@5 68.359 (67.351)
Epoch: [68][610/7045]	Time 0.102 (0.268)	Data 0.025 (0.205)	Loss 2.5967 (2.5900)	Prec@1 37.500 (37.588)	Prec@5 65.625 (67.337)
Epoch: [68][620/7045]	Time 0.802 (0.269)	Data 0.751 (0.205)	Loss 2.7660 (2.5912)	Prec@1 36.719 (37.574)	Prec@5 62.500 (67.320)
Epoch: [68][630/7045]	Time 0.262 (0.268)	Data 0.210 (0.204)	Loss 2.5289 (2.5912)	Prec@1 39.844 (37.576)	Prec@5 67.969 (67.327)
Epoch: [68][640/7045]	Time 2.024 (0.271)	Data 1.973 (0.207)	Loss 2.4586 (2.5909)	Prec@1 41.016 (37.594)	Prec@5 71.094 (67.347)
Epoch: [68][650/7045]	Time 0.359 (0.270)	Data 0.307 (0.207)	Loss 2.6006 (2.5911)	Prec@1 38.672 (37.590)	Prec@5 67.188 (67.350)
Epoch: [68][660/7045]	Time 0.102 (0.270)	Data 0.050 (0.207)	Loss 2.5380 (2.5914)	Prec@1 36.719 (37.570)	Prec@5 68.359 (67.356)
Epoch: [68][670/7045]	Time 0.102 (0.270)	Data 0.001 (0.206)	Loss 2.5473 (2.5917)	Prec@1 35.938 (37.551)	Prec@5 69.922 (67.351)
Epoch: [68][680/7045]	Time 0.105 (0.270)	Data 0.052 (0.206)	Loss 2.5593 (2.5922)	Prec@1 33.203 (37.556)	Prec@5 68.359 (67.354)
Epoch: [68][690/7045]	Time 0.454 (0.270)	Data 0.403 (0.206)	Loss 2.7106 (2.5932)	Prec@1 35.938 (37.532)	Prec@5 62.109 (67.335)
Epoch: [68][700/7045]	Time 0.103 (0.270)	Data 0.001 (0.206)	Loss 2.6910 (2.5936)	Prec@1 33.984 (37.533)	Prec@5 64.844 (67.331)
Epoch: [68][710/7045]	Time 0.762 (0.270)	Data 0.711 (0.205)	Loss 2.5703 (2.5931)	Prec@1 39.844 (37.542)	Prec@5 68.750 (67.347)
Epoch: [68][720/7045]	Time 0.151 (0.270)	Data 0.100 (0.206)	Loss 2.4714 (2.5925)	Prec@1 35.156 (37.549)	Prec@5 69.922 (67.349)
Epoch: [68][730/7045]	Time 0.482 (0.270)	Data 0.426 (0.206)	Loss 2.6752 (2.5941)	Prec@1 34.766 (37.505)	Prec@5 65.625 (67.321)
Epoch: [68][740/7045]	Time 0.102 (0.269)	Data 0.006 (0.205)	Loss 2.7797 (2.5945)	Prec@1 35.547 (37.513)	Prec@5 64.453 (67.313)
Epoch: [68][750/7045]	Time 0.215 (0.270)	Data 0.163 (0.205)	Loss 2.4280 (2.5931)	Prec@1 41.016 (37.549)	Prec@5 67.578 (67.332)
Epoch: [68][760/7045]	Time 0.271 (0.269)	Data 0.219 (0.204)	Loss 2.6238 (2.5925)	Prec@1 35.938 (37.565)	Prec@5 64.062 (67.338)
Epoch: [68][770/7045]	Time 0.236 (0.269)	Data 0.185 (0.204)	Loss 2.5859 (2.5909)	Prec@1 38.281 (37.593)	Prec@5 68.359 (67.370)
Epoch: [68][780/7045]	Time 0.714 (0.269)	Data 0.652 (0.205)	Loss 2.6673 (2.5905)	Prec@1 38.281 (37.598)	Prec@5 67.578 (67.382)
Epoch: [68][790/7045]	Time 0.101 (0.269)	Data 0.001 (0.204)	Loss 2.5448 (2.5909)	Prec@1 39.062 (37.596)	Prec@5 68.359 (67.371)
Epoch: [68][800/7045]	Time 0.496 (0.268)	Data 0.438 (0.204)	Loss 2.5217 (2.5907)	Prec@1 37.500 (37.592)	Prec@5 69.531 (67.363)
Epoch: [68][810/7045]	Time 0.112 (0.269)	Data 0.061 (0.204)	Loss 2.6180 (2.5911)	Prec@1 40.234 (37.592)	Prec@5 65.234 (67.353)
Epoch: [68][820/7045]	Time 0.166 (0.269)	Data 0.113 (0.204)	Loss 2.4475 (2.5908)	Prec@1 39.062 (37.602)	Prec@5 68.359 (67.349)
Epoch: [68][830/7045]	Time 0.102 (0.268)	Data 0.001 (0.204)	Loss 2.6904 (2.5917)	Prec@1 38.281 (37.586)	Prec@5 62.109 (67.343)
Epoch: [68][840/7045]	Time 0.101 (0.268)	Data 0.001 (0.203)	Loss 2.5660 (2.5923)	Prec@1 37.891 (37.574)	Prec@5 67.578 (67.335)
Epoch: [68][850/7045]	Time 0.387 (0.271)	Data 0.337 (0.206)	Loss 2.5471 (2.5924)	Prec@1 35.938 (37.574)	Prec@5 67.969 (67.328)
Epoch: [68][860/7045]	Time 0.245 (0.271)	Data 0.195 (0.206)	Loss 2.4147 (2.5921)	Prec@1 42.188 (37.583)	Prec@5 69.922 (67.327)
Epoch: [68][870/7045]	Time 0.327 (0.271)	Data 0.268 (0.206)	Loss 2.5224 (2.5924)	Prec@1 38.281 (37.590)	Prec@5 69.922 (67.327)
Epoch: [68][880/7045]	Time 0.102 (0.270)	Data 0.001 (0.205)	Loss 2.4888 (2.5922)	Prec@1 36.719 (37.594)	Prec@5 70.703 (67.341)
Epoch: [68][890/7045]	Time 0.100 (0.270)	Data 0.001 (0.206)	Loss 2.6952 (2.5926)	Prec@1 32.812 (37.577)	Prec@5 63.672 (67.324)
Epoch: [68][900/7045]	Time 0.295 (0.270)	Data 0.245 (0.205)	Loss 2.5941 (2.5932)	Prec@1 38.281 (37.570)	Prec@5 70.312 (67.315)
Epoch: [68][910/7045]	Time 0.148 (0.270)	Data 0.097 (0.205)	Loss 2.6608 (2.5937)	Prec@1 34.375 (37.560)	Prec@5 67.578 (67.305)
Epoch: [68][920/7045]	Time 0.365 (0.272)	Data 0.313 (0.207)	Loss 2.7112 (2.5946)	Prec@1 36.719 (37.550)	Prec@5 64.844 (67.284)
Epoch: [68][930/7045]	Time 0.101 (0.271)	Data 0.001 (0.207)	Loss 2.7397 (2.5948)	Prec@1 35.547 (37.551)	Prec@5 62.891 (67.277)
Epoch: [68][940/7045]	Time 0.254 (0.271)	Data 0.202 (0.207)	Loss 2.5627 (2.5949)	Prec@1 37.109 (37.544)	Prec@5 66.406 (67.285)
Epoch: [68][950/7045]	Time 0.588 (0.271)	Data 0.537 (0.207)	Loss 2.7035 (2.5950)	Prec@1 38.281 (37.541)	Prec@5 65.234 (67.277)
Epoch: [68][960/7045]	Time 0.095 (0.271)	Data 0.001 (0.206)	Loss 2.5904 (2.5947)	Prec@1 35.547 (37.546)	Prec@5 65.625 (67.270)
Epoch: [68][970/7045]	Time 0.404 (0.271)	Data 0.353 (0.206)	Loss 2.5993 (2.5944)	Prec@1 37.500 (37.547)	Prec@5 66.016 (67.277)
Epoch: [68][980/7045]	Time 0.296 (0.270)	Data 0.245 (0.206)	Loss 2.5407 (2.5946)	Prec@1 39.844 (37.554)	Prec@5 69.141 (67.273)
Epoch: [68][990/7045]	Time 0.432 (0.271)	Data 0.382 (0.207)	Loss 2.5943 (2.5950)	Prec@1 38.281 (37.544)	Prec@5 67.969 (67.268)
Epoch: [68][1000/7045]	Time 0.293 (0.271)	Data 0.242 (0.207)	Loss 2.5158 (2.5952)	Prec@1 35.156 (37.537)	Prec@5 72.656 (67.270)
Epoch: [68][1010/7045]	Time 0.169 (0.271)	Data 0.118 (0.207)	Loss 2.5153 (2.5952)	Prec@1 38.281 (37.535)	Prec@5 69.922 (67.267)
Epoch: [68][1020/7045]	Time 0.640 (0.271)	Data 0.579 (0.207)	Loss 2.6741 (2.5953)	Prec@1 36.719 (37.527)	Prec@5 64.844 (67.264)
Epoch: [68][1030/7045]	Time 0.103 (0.271)	Data 0.001 (0.206)	Loss 2.5401 (2.5960)	Prec@1 37.500 (37.513)	Prec@5 67.578 (67.249)
Epoch: [68][1040/7045]	Time 0.196 (0.271)	Data 0.138 (0.206)	Loss 2.5109 (2.5958)	Prec@1 40.234 (37.516)	Prec@5 67.578 (67.249)
Epoch: [68][1050/7045]	Time 0.355 (0.270)	Data 0.305 (0.206)	Loss 2.4582 (2.5946)	Prec@1 35.938 (37.543)	Prec@5 67.578 (67.267)
Epoch: [68][1060/7045]	Time 0.102 (0.270)	Data 0.001 (0.206)	Loss 2.6602 (2.5949)	Prec@1 34.766 (37.534)	Prec@5 64.453 (67.257)
Epoch: [68][1070/7045]	Time 0.698 (0.271)	Data 0.645 (0.207)	Loss 2.5435 (2.5951)	Prec@1 39.062 (37.538)	Prec@5 69.922 (67.253)
Epoch: [68][1080/7045]	Time 0.102 (0.271)	Data 0.002 (0.206)	Loss 2.3522 (2.5945)	Prec@1 39.844 (37.544)	Prec@5 70.312 (67.262)
Epoch: [68][1090/7045]	Time 0.367 (0.271)	Data 0.308 (0.206)	Loss 2.5569 (2.5944)	Prec@1 40.234 (37.544)	Prec@5 67.969 (67.269)
Epoch: [68][1100/7045]	Time 0.276 (0.270)	Data 0.225 (0.206)	Loss 2.4829 (2.5938)	Prec@1 37.109 (37.556)	Prec@5 68.750 (67.274)
Epoch: [68][1110/7045]	Time 0.237 (0.270)	Data 0.186 (0.206)	Loss 2.4841 (2.5936)	Prec@1 41.406 (37.562)	Prec@5 72.656 (67.281)
Epoch: [68][1120/7045]	Time 0.221 (0.270)	Data 0.169 (0.206)	Loss 2.5615 (2.5936)	Prec@1 35.938 (37.559)	Prec@5 69.531 (67.284)
Epoch: [68][1130/7045]	Time 0.220 (0.270)	Data 0.169 (0.206)	Loss 2.5198 (2.5944)	Prec@1 36.328 (37.539)	Prec@5 71.875 (67.275)
Epoch: [68][1140/7045]	Time 0.102 (0.270)	Data 0.001 (0.206)	Loss 2.6428 (2.5940)	Prec@1 40.234 (37.553)	Prec@5 66.016 (67.285)
Epoch: [68][1150/7045]	Time 0.396 (0.270)	Data 0.345 (0.206)	Loss 2.4196 (2.5940)	Prec@1 41.797 (37.549)	Prec@5 72.266 (67.288)
Epoch: [68][1160/7045]	Time 0.172 (0.270)	Data 0.120 (0.206)	Loss 2.4288 (2.5940)	Prec@1 44.922 (37.555)	Prec@5 65.234 (67.281)
Epoch: [68][1170/7045]	Time 0.317 (0.270)	Data 0.266 (0.206)	Loss 2.6129 (2.5939)	Prec@1 35.547 (37.559)	Prec@5 67.188 (67.280)
Epoch: [68][1180/7045]	Time 0.455 (0.270)	Data 0.403 (0.206)	Loss 2.5916 (2.5935)	Prec@1 36.328 (37.565)	Prec@5 69.141 (67.283)
Epoch: [68][1190/7045]	Time 0.101 (0.270)	Data 0.050 (0.206)	Loss 2.7166 (2.5938)	Prec@1 33.203 (37.554)	Prec@5 62.109 (67.271)
Epoch: [68][1200/7045]	Time 0.437 (0.270)	Data 0.386 (0.206)	Loss 2.7393 (2.5940)	Prec@1 35.547 (37.549)	Prec@5 67.969 (67.267)
Epoch: [68][1210/7045]	Time 0.287 (0.269)	Data 0.226 (0.206)	Loss 2.7262 (2.5941)	Prec@1 36.328 (37.547)	Prec@5 66.797 (67.267)
Epoch: [68][1220/7045]	Time 0.305 (0.269)	Data 0.254 (0.205)	Loss 2.5940 (2.5941)	Prec@1 41.406 (37.549)	Prec@5 67.969 (67.266)
Epoch: [68][1230/7045]	Time 0.343 (0.269)	Data 0.292 (0.205)	Loss 2.6006 (2.5944)	Prec@1 33.203 (37.545)	Prec@5 67.578 (67.260)
Epoch: [68][1240/7045]	Time 0.210 (0.269)	Data 0.160 (0.205)	Loss 2.4779 (2.5942)	Prec@1 41.016 (37.550)	Prec@5 68.359 (67.265)
Epoch: [68][1250/7045]	Time 0.242 (0.269)	Data 0.192 (0.205)	Loss 2.7552 (2.5949)	Prec@1 34.766 (37.535)	Prec@5 62.891 (67.252)
Epoch: [68][1260/7045]	Time 0.347 (0.272)	Data 0.296 (0.208)	Loss 2.6924 (2.5947)	Prec@1 35.156 (37.529)	Prec@5 66.406 (67.250)
Epoch: [68][1270/7045]	Time 0.131 (0.272)	Data 0.071 (0.208)	Loss 2.5760 (2.5950)	Prec@1 39.844 (37.528)	Prec@5 68.359 (67.254)
Epoch: [68][1280/7045]	Time 0.101 (0.271)	Data 0.001 (0.208)	Loss 2.3788 (2.5953)	Prec@1 41.406 (37.522)	Prec@5 69.922 (67.253)
Epoch: [68][1290/7045]	Time 0.112 (0.271)	Data 0.005 (0.208)	Loss 2.5208 (2.5946)	Prec@1 37.500 (37.538)	Prec@5 69.531 (67.269)
Epoch: [68][1300/7045]	Time 0.194 (0.271)	Data 0.143 (0.207)	Loss 2.7518 (2.5946)	Prec@1 35.547 (37.538)	Prec@5 65.625 (67.269)
Epoch: [68][1310/7045]	Time 0.110 (0.271)	Data 0.001 (0.207)	Loss 2.3733 (2.5942)	Prec@1 44.922 (37.546)	Prec@5 71.875 (67.274)
Epoch: [68][1320/7045]	Time 0.607 (0.272)	Data 0.557 (0.209)	Loss 2.8465 (2.5944)	Prec@1 31.250 (37.541)	Prec@5 62.891 (67.276)
Epoch: [68][1330/7045]	Time 0.211 (0.272)	Data 0.160 (0.208)	Loss 2.7979 (2.5950)	Prec@1 32.812 (37.541)	Prec@5 62.500 (67.261)
Epoch: [68][1340/7045]	Time 0.259 (0.272)	Data 0.207 (0.208)	Loss 2.4445 (2.5949)	Prec@1 40.625 (37.547)	Prec@5 71.094 (67.261)
Epoch: [68][1350/7045]	Time 0.101 (0.272)	Data 0.023 (0.208)	Loss 2.4031 (2.5949)	Prec@1 39.062 (37.552)	Prec@5 72.266 (67.259)
Epoch: [68][1360/7045]	Time 0.108 (0.272)	Data 0.055 (0.208)	Loss 2.5007 (2.5952)	Prec@1 39.062 (37.546)	Prec@5 67.188 (67.253)
Epoch: [68][1370/7045]	Time 0.402 (0.272)	Data 0.351 (0.208)	Loss 2.5928 (2.5954)	Prec@1 35.938 (37.546)	Prec@5 70.703 (67.256)
Epoch: [68][1380/7045]	Time 0.149 (0.271)	Data 0.098 (0.208)	Loss 2.6022 (2.5954)	Prec@1 33.984 (37.544)	Prec@5 68.750 (67.258)
Epoch: [68][1390/7045]	Time 0.113 (0.271)	Data 0.063 (0.208)	Loss 2.7131 (2.5955)	Prec@1 30.469 (37.538)	Prec@5 65.625 (67.256)
Epoch: [68][1400/7045]	Time 0.732 (0.271)	Data 0.679 (0.208)	Loss 2.5769 (2.5953)	Prec@1 35.938 (37.538)	Prec@5 70.312 (67.263)
Epoch: [68][1410/7045]	Time 0.102 (0.271)	Data 0.001 (0.208)	Loss 2.5277 (2.5952)	Prec@1 40.625 (37.539)	Prec@5 66.797 (67.260)
Epoch: [68][1420/7045]	Time 0.654 (0.273)	Data 0.603 (0.209)	Loss 2.4873 (2.5952)	Prec@1 36.719 (37.537)	Prec@5 69.922 (67.256)
Epoch: [68][1430/7045]	Time 0.106 (0.273)	Data 0.054 (0.209)	Loss 2.8446 (2.5954)	Prec@1 35.938 (37.538)	Prec@5 62.500 (67.250)
Epoch: [68][1440/7045]	Time 0.689 (0.273)	Data 0.637 (0.209)	Loss 2.4897 (2.5953)	Prec@1 37.891 (37.540)	Prec@5 67.578 (67.247)
Epoch: [68][1450/7045]	Time 0.102 (0.272)	Data 0.001 (0.208)	Loss 2.8005 (2.5951)	Prec@1 35.547 (37.538)	Prec@5 62.109 (67.250)
Epoch: [68][1460/7045]	Time 0.549 (0.272)	Data 0.492 (0.208)	Loss 2.4505 (2.5945)	Prec@1 43.750 (37.548)	Prec@5 69.141 (67.266)
Epoch: [68][1470/7045]	Time 0.653 (0.272)	Data 0.603 (0.209)	Loss 2.4886 (2.5949)	Prec@1 38.672 (37.544)	Prec@5 69.531 (67.257)
Epoch: [68][1480/7045]	Time 0.099 (0.272)	Data 0.005 (0.208)	Loss 2.4997 (2.5951)	Prec@1 39.453 (37.544)	Prec@5 65.234 (67.253)
Epoch: [68][1490/7045]	Time 0.364 (0.272)	Data 0.313 (0.208)	Loss 2.6367 (2.5952)	Prec@1 39.062 (37.534)	Prec@5 67.578 (67.252)
Epoch: [68][1500/7045]	Time 0.102 (0.271)	Data 0.006 (0.208)	Loss 2.5397 (2.5949)	Prec@1 39.453 (37.546)	Prec@5 64.844 (67.248)
Epoch: [68][1510/7045]	Time 0.110 (0.271)	Data 0.001 (0.208)	Loss 2.5934 (2.5947)	Prec@1 37.500 (37.545)	Prec@5 66.797 (67.253)
Epoch: [68][1520/7045]	Time 0.103 (0.271)	Data 0.001 (0.207)	Loss 2.3398 (2.5946)	Prec@1 46.484 (37.556)	Prec@5 70.703 (67.249)
Epoch: [68][1530/7045]	Time 0.265 (0.271)	Data 0.210 (0.207)	Loss 2.4099 (2.5946)	Prec@1 41.797 (37.557)	Prec@5 71.094 (67.252)
Epoch: [68][1540/7045]	Time 0.169 (0.271)	Data 0.118 (0.207)	Loss 2.5694 (2.5945)	Prec@1 38.281 (37.560)	Prec@5 66.016 (67.249)
Epoch: [68][1550/7045]	Time 0.214 (0.271)	Data 0.162 (0.207)	Loss 2.7863 (2.5943)	Prec@1 35.547 (37.564)	Prec@5 62.109 (67.253)
Epoch: [68][1560/7045]	Time 0.123 (0.271)	Data 0.071 (0.207)	Loss 2.7293 (2.5944)	Prec@1 33.203 (37.566)	Prec@5 65.234 (67.254)
Epoch: [68][1570/7045]	Time 0.102 (0.271)	Data 0.001 (0.207)	Loss 2.6047 (2.5945)	Prec@1 42.188 (37.568)	Prec@5 67.188 (67.251)
Epoch: [68][1580/7045]	Time 0.108 (0.270)	Data 0.055 (0.207)	Loss 2.5979 (2.5946)	Prec@1 37.500 (37.567)	Prec@5 67.578 (67.252)
Epoch: [68][1590/7045]	Time 0.103 (0.270)	Data 0.050 (0.206)	Loss 2.5289 (2.5950)	Prec@1 39.062 (37.559)	Prec@5 68.359 (67.243)
Epoch: [68][1600/7045]	Time 0.101 (0.270)	Data 0.045 (0.206)	Loss 2.6389 (2.5950)	Prec@1 38.281 (37.568)	Prec@5 69.141 (67.246)
Epoch: [68][1610/7045]	Time 0.471 (0.270)	Data 0.413 (0.206)	Loss 2.6011 (2.5949)	Prec@1 35.156 (37.567)	Prec@5 64.844 (67.244)
Epoch: [68][1620/7045]	Time 0.102 (0.270)	Data 0.001 (0.206)	Loss 2.3864 (2.5948)	Prec@1 39.453 (37.565)	Prec@5 67.578 (67.243)
Epoch: [68][1630/7045]	Time 0.637 (0.270)	Data 0.580 (0.206)	Loss 2.4612 (2.5949)	Prec@1 41.406 (37.575)	Prec@5 71.875 (67.250)
Epoch: [68][1640/7045]	Time 0.165 (0.269)	Data 0.114 (0.206)	Loss 2.6327 (2.5951)	Prec@1 35.938 (37.569)	Prec@5 67.188 (67.247)
Epoch: [68][1650/7045]	Time 0.417 (0.269)	Data 0.366 (0.206)	Loss 2.6401 (2.5949)	Prec@1 37.500 (37.573)	Prec@5 65.234 (67.243)
Epoch: [68][1660/7045]	Time 0.254 (0.269)	Data 0.201 (0.206)	Loss 2.5251 (2.5947)	Prec@1 35.938 (37.571)	Prec@5 69.922 (67.247)
Epoch: [68][1670/7045]	Time 0.338 (0.269)	Data 0.281 (0.206)	Loss 2.4023 (2.5948)	Prec@1 41.016 (37.565)	Prec@5 72.656 (67.243)
Epoch: [68][1680/7045]	Time 0.335 (0.269)	Data 0.284 (0.205)	Loss 2.5878 (2.5947)	Prec@1 37.500 (37.566)	Prec@5 68.750 (67.250)
Epoch: [68][1690/7045]	Time 0.113 (0.269)	Data 0.061 (0.205)	Loss 2.7665 (2.5948)	Prec@1 37.500 (37.569)	Prec@5 63.281 (67.241)
Epoch: [68][1700/7045]	Time 0.267 (0.269)	Data 0.216 (0.205)	Loss 2.7424 (2.5948)	Prec@1 35.938 (37.567)	Prec@5 66.797 (67.241)
Epoch: [68][1710/7045]	Time 0.346 (0.269)	Data 0.290 (0.205)	Loss 2.5152 (2.5949)	Prec@1 41.406 (37.570)	Prec@5 71.094 (67.245)
Epoch: [68][1720/7045]	Time 0.102 (0.268)	Data 0.001 (0.205)	Loss 2.4650 (2.5948)	Prec@1 42.578 (37.569)	Prec@5 71.875 (67.246)
Epoch: [68][1730/7045]	Time 0.231 (0.268)	Data 0.179 (0.205)	Loss 2.6027 (2.5949)	Prec@1 35.938 (37.567)	Prec@5 62.891 (67.246)
Epoch: [68][1740/7045]	Time 0.134 (0.268)	Data 0.083 (0.205)	Loss 2.4619 (2.5950)	Prec@1 42.188 (37.561)	Prec@5 69.922 (67.240)
Epoch: [68][1750/7045]	Time 0.116 (0.268)	Data 0.065 (0.205)	Loss 2.7616 (2.5950)	Prec@1 35.938 (37.569)	Prec@5 67.188 (67.241)
Epoch: [68][1760/7045]	Time 0.777 (0.268)	Data 0.726 (0.205)	Loss 2.4636 (2.5950)	Prec@1 43.359 (37.564)	Prec@5 71.094 (67.240)
Epoch: [68][1770/7045]	Time 0.103 (0.268)	Data 0.007 (0.204)	Loss 2.7586 (2.5947)	Prec@1 36.328 (37.571)	Prec@5 63.672 (67.247)
Epoch: [68][1780/7045]	Time 0.384 (0.268)	Data 0.332 (0.205)	Loss 2.6348 (2.5950)	Prec@1 37.500 (37.568)	Prec@5 66.797 (67.244)
Epoch: [68][1790/7045]	Time 0.336 (0.268)	Data 0.285 (0.205)	Loss 2.7417 (2.5953)	Prec@1 34.766 (37.565)	Prec@5 63.672 (67.239)
Epoch: [68][1800/7045]	Time 0.249 (0.268)	Data 0.197 (0.204)	Loss 2.3126 (2.5952)	Prec@1 44.531 (37.558)	Prec@5 74.219 (67.245)
Epoch: [68][1810/7045]	Time 0.238 (0.268)	Data 0.186 (0.204)	Loss 2.6276 (2.5952)	Prec@1 35.547 (37.557)	Prec@5 62.109 (67.246)
Epoch: [68][1820/7045]	Time 0.128 (0.268)	Data 0.077 (0.204)	Loss 2.7577 (2.5960)	Prec@1 34.375 (37.543)	Prec@5 65.234 (67.230)
Epoch: [68][1830/7045]	Time 0.103 (0.267)	Data 0.051 (0.204)	Loss 2.8972 (2.5962)	Prec@1 29.297 (37.538)	Prec@5 61.719 (67.227)
Epoch: [68][1840/7045]	Time 0.230 (0.267)	Data 0.180 (0.204)	Loss 2.4760 (2.5960)	Prec@1 40.625 (37.539)	Prec@5 66.797 (67.231)
Epoch: [68][1850/7045]	Time 0.171 (0.267)	Data 0.120 (0.204)	Loss 2.6097 (2.5959)	Prec@1 36.328 (37.543)	Prec@5 66.797 (67.231)
Epoch: [68][1860/7045]	Time 0.506 (0.267)	Data 0.456 (0.204)	Loss 2.6000 (2.5959)	Prec@1 37.891 (37.538)	Prec@5 66.797 (67.225)
Epoch: [68][1870/7045]	Time 0.102 (0.267)	Data 0.048 (0.204)	Loss 2.5682 (2.5962)	Prec@1 40.234 (37.534)	Prec@5 68.359 (67.220)
Epoch: [68][1880/7045]	Time 0.335 (0.268)	Data 0.283 (0.205)	Loss 2.5861 (2.5961)	Prec@1 38.672 (37.536)	Prec@5 67.969 (67.224)
Epoch: [68][1890/7045]	Time 0.172 (0.268)	Data 0.122 (0.205)	Loss 2.5669 (2.5962)	Prec@1 39.453 (37.531)	Prec@5 68.750 (67.220)
Epoch: [68][1900/7045]	Time 0.101 (0.268)	Data 0.008 (0.205)	Loss 2.7124 (2.5966)	Prec@1 35.547 (37.524)	Prec@5 63.281 (67.211)
Epoch: [68][1910/7045]	Time 0.354 (0.268)	Data 0.302 (0.205)	Loss 2.6402 (2.5969)	Prec@1 35.938 (37.517)	Prec@5 66.797 (67.207)
Epoch: [68][1920/7045]	Time 0.105 (0.268)	Data 0.003 (0.205)	Loss 2.4317 (2.5968)	Prec@1 40.234 (37.522)	Prec@5 69.531 (67.204)
Epoch: [68][1930/7045]	Time 0.602 (0.268)	Data 0.551 (0.205)	Loss 2.5162 (2.5967)	Prec@1 38.281 (37.531)	Prec@5 69.531 (67.205)
Epoch: [68][1940/7045]	Time 0.102 (0.268)	Data 0.050 (0.205)	Loss 2.6434 (2.5968)	Prec@1 41.016 (37.529)	Prec@5 67.578 (67.205)
Epoch: [68][1950/7045]	Time 0.450 (0.268)	Data 0.400 (0.205)	Loss 2.4957 (2.5967)	Prec@1 38.281 (37.528)	Prec@5 69.141 (67.210)
Epoch: [68][1960/7045]	Time 0.104 (0.268)	Data 0.053 (0.204)	Loss 2.5150 (2.5966)	Prec@1 38.672 (37.526)	Prec@5 69.141 (67.214)
Epoch: [68][1970/7045]	Time 0.102 (0.268)	Data 0.048 (0.205)	Loss 2.3776 (2.5968)	Prec@1 42.969 (37.526)	Prec@5 72.266 (67.209)
Epoch: [68][1980/7045]	Time 0.114 (0.268)	Data 0.062 (0.204)	Loss 2.5082 (2.5968)	Prec@1 35.938 (37.525)	Prec@5 71.094 (67.218)
Epoch: [68][1990/7045]	Time 0.102 (0.268)	Data 0.046 (0.204)	Loss 2.4354 (2.5969)	Prec@1 36.328 (37.522)	Prec@5 70.312 (67.214)
Epoch: [68][2000/7045]	Time 0.162 (0.268)	Data 0.110 (0.204)	Loss 2.6599 (2.5971)	Prec@1 38.672 (37.522)	Prec@5 65.234 (67.212)
Epoch: [68][2010/7045]	Time 0.251 (0.268)	Data 0.199 (0.204)	Loss 2.3696 (2.5969)	Prec@1 39.453 (37.524)	Prec@5 71.484 (67.220)
Epoch: [68][2020/7045]	Time 0.279 (0.268)	Data 0.228 (0.204)	Loss 2.6032 (2.5971)	Prec@1 35.156 (37.518)	Prec@5 65.234 (67.222)
Epoch: [68][2030/7045]	Time 3.216 (0.269)	Data 3.161 (0.206)	Loss 2.5276 (2.5973)	Prec@1 37.891 (37.517)	Prec@5 71.094 (67.221)
Epoch: [68][2040/7045]	Time 0.523 (0.269)	Data 0.473 (0.206)	Loss 2.5634 (2.5972)	Prec@1 42.188 (37.521)	Prec@5 67.188 (67.222)
Epoch: [68][2050/7045]	Time 0.337 (0.269)	Data 0.287 (0.206)	Loss 2.6958 (2.5969)	Prec@1 36.719 (37.526)	Prec@5 66.016 (67.229)
Epoch: [68][2060/7045]	Time 0.116 (0.269)	Data 0.064 (0.206)	Loss 2.5360 (2.5966)	Prec@1 37.109 (37.530)	Prec@5 67.578 (67.235)
Epoch: [68][2070/7045]	Time 0.103 (0.269)	Data 0.051 (0.205)	Loss 2.6901 (2.5966)	Prec@1 32.812 (37.530)	Prec@5 67.578 (67.231)
Epoch: [68][2080/7045]	Time 0.331 (0.269)	Data 0.280 (0.205)	Loss 2.7123 (2.5967)	Prec@1 34.766 (37.531)	Prec@5 67.969 (67.233)
Epoch: [68][2090/7045]	Time 0.377 (0.269)	Data 0.326 (0.205)	Loss 2.6683 (2.5972)	Prec@1 35.156 (37.526)	Prec@5 64.844 (67.223)
Epoch: [68][2100/7045]	Time 0.280 (0.269)	Data 0.229 (0.205)	Loss 2.7375 (2.5974)	Prec@1 37.109 (37.521)	Prec@5 60.547 (67.218)
Epoch: [68][2110/7045]	Time 0.101 (0.269)	Data 0.048 (0.205)	Loss 2.5631 (2.5971)	Prec@1 36.328 (37.522)	Prec@5 70.703 (67.227)
Epoch: [68][2120/7045]	Time 0.432 (0.270)	Data 0.380 (0.206)	Loss 2.7082 (2.5974)	Prec@1 37.500 (37.519)	Prec@5 63.281 (67.217)
Epoch: [68][2130/7045]	Time 0.123 (0.270)	Data 0.073 (0.206)	Loss 2.7745 (2.5975)	Prec@1 32.422 (37.512)	Prec@5 62.500 (67.211)
Epoch: [68][2140/7045]	Time 0.446 (0.270)	Data 0.396 (0.206)	Loss 2.5197 (2.5974)	Prec@1 39.453 (37.513)	Prec@5 68.750 (67.215)
Epoch: [68][2150/7045]	Time 0.110 (0.269)	Data 0.001 (0.206)	Loss 2.5183 (2.5971)	Prec@1 41.406 (37.513)	Prec@5 67.188 (67.226)
Epoch: [68][2160/7045]	Time 0.688 (0.269)	Data 0.636 (0.206)	Loss 2.4753 (2.5968)	Prec@1 39.844 (37.512)	Prec@5 68.750 (67.233)
Epoch: [68][2170/7045]	Time 0.327 (0.269)	Data 0.277 (0.206)	Loss 2.3559 (2.5965)	Prec@1 44.531 (37.521)	Prec@5 70.703 (67.243)
Epoch: [68][2180/7045]	Time 0.385 (0.269)	Data 0.335 (0.206)	Loss 2.6145 (2.5963)	Prec@1 38.672 (37.523)	Prec@5 66.016 (67.246)
Epoch: [68][2190/7045]	Time 0.131 (0.270)	Data 0.078 (0.207)	Loss 2.5638 (2.5963)	Prec@1 36.328 (37.524)	Prec@5 69.922 (67.244)
Epoch: [68][2200/7045]	Time 0.225 (0.270)	Data 0.174 (0.207)	Loss 2.7643 (2.5963)	Prec@1 34.766 (37.524)	Prec@5 63.672 (67.247)
Epoch: [68][2210/7045]	Time 0.190 (0.270)	Data 0.139 (0.207)	Loss 2.5518 (2.5963)	Prec@1 44.531 (37.528)	Prec@5 67.969 (67.244)
Epoch: [68][2220/7045]	Time 0.315 (0.270)	Data 0.263 (0.207)	Loss 2.6637 (2.5966)	Prec@1 33.984 (37.523)	Prec@5 67.969 (67.237)
Epoch: [68][2230/7045]	Time 0.548 (0.270)	Data 0.497 (0.207)	Loss 2.4461 (2.5965)	Prec@1 39.844 (37.522)	Prec@5 69.531 (67.240)
Epoch: [68][2240/7045]	Time 0.102 (0.270)	Data 0.050 (0.207)	Loss 2.5791 (2.5966)	Prec@1 36.328 (37.521)	Prec@5 69.531 (67.233)
Epoch: [68][2250/7045]	Time 0.816 (0.270)	Data 0.759 (0.207)	Loss 2.5102 (2.5967)	Prec@1 39.062 (37.516)	Prec@5 64.844 (67.228)
Epoch: [68][2260/7045]	Time 0.118 (0.271)	Data 0.067 (0.207)	Loss 2.5590 (2.5967)	Prec@1 38.281 (37.517)	Prec@5 66.797 (67.222)
Epoch: [68][2270/7045]	Time 0.587 (0.271)	Data 0.535 (0.207)	Loss 2.5944 (2.5966)	Prec@1 37.500 (37.519)	Prec@5 68.359 (67.226)
Epoch: [68][2280/7045]	Time 0.106 (0.271)	Data 0.007 (0.207)	Loss 2.6554 (2.5963)	Prec@1 36.719 (37.520)	Prec@5 66.406 (67.232)
Epoch: [68][2290/7045]	Time 0.172 (0.270)	Data 0.122 (0.207)	Loss 2.6666 (2.5966)	Prec@1 38.281 (37.517)	Prec@5 66.797 (67.232)
Epoch: [68][2300/7045]	Time 0.128 (0.270)	Data 0.077 (0.207)	Loss 2.7444 (2.5966)	Prec@1 34.766 (37.514)	Prec@5 63.281 (67.233)
Epoch: [68][2310/7045]	Time 0.220 (0.270)	Data 0.169 (0.207)	Loss 2.4907 (2.5967)	Prec@1 38.281 (37.514)	Prec@5 70.703 (67.233)
Epoch: [68][2320/7045]	Time 0.111 (0.270)	Data 0.001 (0.207)	Loss 2.7189 (2.5968)	Prec@1 35.156 (37.513)	Prec@5 64.062 (67.231)
Epoch: [68][2330/7045]	Time 0.177 (0.271)	Data 0.126 (0.208)	Loss 2.7883 (2.5968)	Prec@1 32.031 (37.513)	Prec@5 61.328 (67.233)
Epoch: [68][2340/7045]	Time 0.293 (0.271)	Data 0.232 (0.208)	Loss 2.4771 (2.5966)	Prec@1 40.625 (37.517)	Prec@5 70.312 (67.238)
Epoch: [68][2350/7045]	Time 0.101 (0.271)	Data 0.001 (0.208)	Loss 2.3617 (2.5964)	Prec@1 42.188 (37.519)	Prec@5 72.266 (67.241)
Epoch: [68][2360/7045]	Time 0.321 (0.271)	Data 0.270 (0.208)	Loss 2.6085 (2.5963)	Prec@1 36.719 (37.521)	Prec@5 65.625 (67.247)
Epoch: [68][2370/7045]	Time 0.303 (0.271)	Data 0.252 (0.208)	Loss 2.4255 (2.5959)	Prec@1 38.672 (37.526)	Prec@5 71.094 (67.253)
Epoch: [68][2380/7045]	Time 0.350 (0.271)	Data 0.299 (0.208)	Loss 2.6079 (2.5958)	Prec@1 35.938 (37.531)	Prec@5 66.406 (67.253)
Epoch: [68][2390/7045]	Time 0.102 (0.271)	Data 0.001 (0.208)	Loss 2.7655 (2.5960)	Prec@1 32.031 (37.528)	Prec@5 63.281 (67.253)
Epoch: [68][2400/7045]	Time 0.531 (0.272)	Data 0.479 (0.208)	Loss 2.5092 (2.5960)	Prec@1 39.453 (37.525)	Prec@5 68.750 (67.251)
Epoch: [68][2410/7045]	Time 0.107 (0.271)	Data 0.001 (0.208)	Loss 2.5233 (2.5959)	Prec@1 37.109 (37.523)	Prec@5 66.406 (67.250)
Epoch: [68][2420/7045]	Time 0.625 (0.271)	Data 0.573 (0.208)	Loss 2.7443 (2.5961)	Prec@1 36.719 (37.522)	Prec@5 63.281 (67.244)
Epoch: [68][2430/7045]	Time 0.102 (0.271)	Data 0.044 (0.208)	Loss 2.6873 (2.5963)	Prec@1 35.547 (37.518)	Prec@5 67.188 (67.241)
Epoch: [68][2440/7045]	Time 0.671 (0.271)	Data 0.618 (0.208)	Loss 2.4746 (2.5965)	Prec@1 39.453 (37.517)	Prec@5 68.750 (67.240)
Epoch: [68][2450/7045]	Time 0.230 (0.271)	Data 0.179 (0.208)	Loss 2.4851 (2.5965)	Prec@1 41.406 (37.520)	Prec@5 68.750 (67.241)
Epoch: [68][2460/7045]	Time 0.586 (0.271)	Data 0.536 (0.208)	Loss 2.6018 (2.5967)	Prec@1 42.969 (37.520)	Prec@5 65.234 (67.239)
Epoch: [68][2470/7045]	Time 0.102 (0.271)	Data 0.001 (0.208)	Loss 2.7134 (2.5970)	Prec@1 33.594 (37.515)	Prec@5 64.844 (67.230)
Epoch: [68][2480/7045]	Time 0.396 (0.271)	Data 0.339 (0.208)	Loss 2.6061 (2.5970)	Prec@1 38.672 (37.519)	Prec@5 64.453 (67.228)
Epoch: [68][2490/7045]	Time 0.416 (0.272)	Data 0.364 (0.208)	Loss 2.5406 (2.5970)	Prec@1 37.891 (37.518)	Prec@5 66.016 (67.226)
Epoch: [68][2500/7045]	Time 0.250 (0.272)	Data 0.199 (0.208)	Loss 2.5740 (2.5968)	Prec@1 39.453 (37.529)	Prec@5 64.062 (67.226)
Epoch: [68][2510/7045]	Time 0.367 (0.271)	Data 0.316 (0.208)	Loss 2.6957 (2.5968)	Prec@1 39.453 (37.536)	Prec@5 62.891 (67.222)
Epoch: [68][2520/7045]	Time 0.119 (0.271)	Data 0.068 (0.208)	Loss 2.5942 (2.5968)	Prec@1 36.328 (37.536)	Prec@5 70.312 (67.224)
Epoch: [68][2530/7045]	Time 0.332 (0.271)	Data 0.275 (0.208)	Loss 2.8999 (2.5972)	Prec@1 35.547 (37.530)	Prec@5 64.062 (67.224)
Epoch: [68][2540/7045]	Time 0.101 (0.271)	Data 0.001 (0.208)	Loss 2.5942 (2.5972)	Prec@1 38.281 (37.526)	Prec@5 66.016 (67.223)
Epoch: [68][2550/7045]	Time 0.167 (0.271)	Data 0.116 (0.208)	Loss 2.8266 (2.5974)	Prec@1 35.156 (37.522)	Prec@5 63.281 (67.214)
Epoch: [68][2560/7045]	Time 0.108 (0.271)	Data 0.001 (0.208)	Loss 2.6874 (2.5977)	Prec@1 42.578 (37.516)	Prec@5 63.672 (67.208)
Epoch: [68][2570/7045]	Time 0.102 (0.271)	Data 0.001 (0.208)	Loss 2.5721 (2.5978)	Prec@1 39.062 (37.515)	Prec@5 61.719 (67.206)
Epoch: [68][2580/7045]	Time 0.407 (0.272)	Data 0.357 (0.208)	Loss 2.4109 (2.5976)	Prec@1 39.844 (37.518)	Prec@5 70.312 (67.209)
Epoch: [68][2590/7045]	Time 0.138 (0.271)	Data 0.087 (0.208)	Loss 2.4394 (2.5976)	Prec@1 43.750 (37.518)	Prec@5 71.875 (67.210)
Epoch: [68][2600/7045]	Time 0.387 (0.271)	Data 0.335 (0.208)	Loss 2.4655 (2.5978)	Prec@1 44.141 (37.514)	Prec@5 68.750 (67.201)
Epoch: [68][2610/7045]	Time 0.256 (0.271)	Data 0.205 (0.208)	Loss 2.5682 (2.5977)	Prec@1 41.406 (37.513)	Prec@5 67.969 (67.196)
Epoch: [68][2620/7045]	Time 0.224 (0.271)	Data 0.175 (0.208)	Loss 2.7115 (2.5975)	Prec@1 30.859 (37.515)	Prec@5 65.234 (67.198)
Epoch: [68][2630/7045]	Time 0.524 (0.271)	Data 0.473 (0.208)	Loss 2.7388 (2.5975)	Prec@1 34.375 (37.513)	Prec@5 63.672 (67.195)
Epoch: [68][2640/7045]	Time 0.142 (0.271)	Data 0.090 (0.208)	Loss 2.4332 (2.5977)	Prec@1 39.062 (37.512)	Prec@5 70.703 (67.195)
Epoch: [68][2650/7045]	Time 0.100 (0.271)	Data 0.001 (0.208)	Loss 2.5367 (2.5977)	Prec@1 40.234 (37.514)	Prec@5 67.969 (67.193)
Epoch: [68][2660/7045]	Time 0.447 (0.271)	Data 0.395 (0.208)	Loss 2.2545 (2.5975)	Prec@1 42.188 (37.514)	Prec@5 73.438 (67.200)
Epoch: [68][2670/7045]	Time 0.256 (0.271)	Data 0.205 (0.208)	Loss 2.8005 (2.5977)	Prec@1 34.375 (37.507)	Prec@5 60.938 (67.198)
Epoch: [68][2680/7045]	Time 0.109 (0.271)	Data 0.008 (0.208)	Loss 2.5659 (2.5976)	Prec@1 35.938 (37.505)	Prec@5 67.188 (67.201)
Epoch: [68][2690/7045]	Time 0.608 (0.271)	Data 0.556 (0.208)	Loss 2.5685 (2.5976)	Prec@1 39.844 (37.504)	Prec@5 69.922 (67.197)
Epoch: [68][2700/7045]	Time 0.102 (0.271)	Data 0.006 (0.208)	Loss 2.5379 (2.5979)	Prec@1 36.328 (37.500)	Prec@5 67.188 (67.193)
Epoch: [68][2710/7045]	Time 0.461 (0.271)	Data 0.409 (0.208)	Loss 2.4448 (2.5978)	Prec@1 41.406 (37.505)	Prec@5 70.312 (67.195)
Epoch: [68][2720/7045]	Time 0.343 (0.271)	Data 0.291 (0.208)	Loss 2.5052 (2.5977)	Prec@1 38.672 (37.510)	Prec@5 69.141 (67.199)
Epoch: [68][2730/7045]	Time 0.155 (0.271)	Data 0.102 (0.208)	Loss 2.8725 (2.5977)	Prec@1 30.859 (37.505)	Prec@5 61.719 (67.198)
Epoch: [68][2740/7045]	Time 0.237 (0.271)	Data 0.186 (0.208)	Loss 2.5410 (2.5979)	Prec@1 42.578 (37.506)	Prec@5 65.625 (67.192)
Epoch: [68][2750/7045]	Time 0.194 (0.271)	Data 0.144 (0.208)	Loss 2.7317 (2.5977)	Prec@1 33.984 (37.507)	Prec@5 61.719 (67.194)
Epoch: [68][2760/7045]	Time 0.237 (0.271)	Data 0.186 (0.208)	Loss 2.7847 (2.5978)	Prec@1 36.328 (37.511)	Prec@5 64.453 (67.190)
Epoch: [68][2770/7045]	Time 0.320 (0.272)	Data 0.270 (0.209)	Loss 2.8038 (2.5979)	Prec@1 29.297 (37.513)	Prec@5 63.281 (67.193)
Epoch: [68][2780/7045]	Time 0.133 (0.272)	Data 0.082 (0.209)	Loss 2.9421 (2.5979)	Prec@1 27.344 (37.511)	Prec@5 57.422 (67.193)
Epoch: [68][2790/7045]	Time 0.277 (0.272)	Data 0.225 (0.209)	Loss 2.6674 (2.5979)	Prec@1 33.203 (37.512)	Prec@5 62.109 (67.192)
Epoch: [68][2800/7045]	Time 0.105 (0.272)	Data 0.053 (0.209)	Loss 2.4828 (2.5978)	Prec@1 37.500 (37.515)	Prec@5 67.188 (67.198)
Epoch: [68][2810/7045]	Time 0.110 (0.272)	Data 0.058 (0.209)	Loss 2.4677 (2.5978)	Prec@1 35.938 (37.513)	Prec@5 69.922 (67.200)
Epoch: [68][2820/7045]	Time 0.476 (0.272)	Data 0.423 (0.209)	Loss 2.5538 (2.5976)	Prec@1 35.156 (37.518)	Prec@5 67.188 (67.206)
Epoch: [68][2830/7045]	Time 0.100 (0.272)	Data 0.048 (0.209)	Loss 2.8036 (2.5977)	Prec@1 36.719 (37.514)	Prec@5 64.844 (67.208)
Epoch: [68][2840/7045]	Time 0.105 (0.272)	Data 0.017 (0.209)	Loss 2.7419 (2.5975)	Prec@1 38.672 (37.518)	Prec@5 65.625 (67.207)
Epoch: [68][2850/7045]	Time 0.306 (0.273)	Data 0.254 (0.210)	Loss 2.8379 (2.5978)	Prec@1 33.984 (37.509)	Prec@5 65.625 (67.202)
Epoch: [68][2860/7045]	Time 0.330 (0.273)	Data 0.279 (0.210)	Loss 2.4541 (2.5977)	Prec@1 39.062 (37.510)	Prec@5 68.750 (67.205)
Epoch: [68][2870/7045]	Time 0.446 (0.273)	Data 0.390 (0.210)	Loss 2.7023 (2.5977)	Prec@1 32.031 (37.506)	Prec@5 65.234 (67.201)
Epoch: [68][2880/7045]	Time 0.102 (0.273)	Data 0.001 (0.210)	Loss 2.6817 (2.5976)	Prec@1 34.766 (37.505)	Prec@5 63.672 (67.202)
Epoch: [68][2890/7045]	Time 0.210 (0.273)	Data 0.160 (0.210)	Loss 2.4426 (2.5977)	Prec@1 39.844 (37.501)	Prec@5 71.094 (67.201)
Epoch: [68][2900/7045]	Time 0.101 (0.273)	Data 0.047 (0.210)	Loss 2.7762 (2.5977)	Prec@1 36.328 (37.499)	Prec@5 62.500 (67.202)
Epoch: [68][2910/7045]	Time 0.101 (0.273)	Data 0.013 (0.210)	Loss 2.4528 (2.5975)	Prec@1 41.016 (37.503)	Prec@5 68.359 (67.201)
Epoch: [68][2920/7045]	Time 0.224 (0.273)	Data 0.170 (0.210)	Loss 2.6605 (2.5975)	Prec@1 34.766 (37.501)	Prec@5 67.578 (67.203)
Epoch: [68][2930/7045]	Time 0.632 (0.273)	Data 0.569 (0.210)	Loss 2.5268 (2.5973)	Prec@1 33.594 (37.499)	Prec@5 66.406 (67.208)
Epoch: [68][2940/7045]	Time 0.103 (0.273)	Data 0.002 (0.210)	Loss 2.5424 (2.5972)	Prec@1 38.672 (37.503)	Prec@5 69.141 (67.208)
Epoch: [68][2950/7045]	Time 0.156 (0.273)	Data 0.104 (0.210)	Loss 2.6832 (2.5969)	Prec@1 33.203 (37.507)	Prec@5 66.406 (67.216)
Epoch: [68][2960/7045]	Time 0.103 (0.272)	Data 0.052 (0.210)	Loss 2.5497 (2.5970)	Prec@1 40.625 (37.507)	Prec@5 68.359 (67.213)
Epoch: [68][2970/7045]	Time 0.109 (0.272)	Data 0.001 (0.210)	Loss 2.5620 (2.5972)	Prec@1 33.984 (37.504)	Prec@5 66.406 (67.207)
Epoch: [68][2980/7045]	Time 0.110 (0.272)	Data 0.059 (0.209)	Loss 2.4846 (2.5971)	Prec@1 38.281 (37.505)	Prec@5 69.531 (67.211)
Epoch: [68][2990/7045]	Time 0.134 (0.272)	Data 0.085 (0.209)	Loss 2.5057 (2.5968)	Prec@1 39.844 (37.508)	Prec@5 66.797 (67.213)
Epoch: [68][3000/7045]	Time 0.406 (0.272)	Data 0.355 (0.209)	Loss 2.8938 (2.5970)	Prec@1 38.672 (37.507)	Prec@5 62.500 (67.212)
Epoch: [68][3010/7045]	Time 0.102 (0.273)	Data 0.001 (0.210)	Loss 2.4054 (2.5971)	Prec@1 44.141 (37.507)	Prec@5 71.875 (67.212)
Epoch: [68][3020/7045]	Time 0.416 (0.273)	Data 0.365 (0.210)	Loss 2.8661 (2.5972)	Prec@1 32.422 (37.503)	Prec@5 60.547 (67.209)
Epoch: [68][3030/7045]	Time 0.102 (0.272)	Data 0.009 (0.209)	Loss 2.5663 (2.5971)	Prec@1 33.984 (37.503)	Prec@5 69.922 (67.214)
Epoch: [68][3040/7045]	Time 0.460 (0.273)	Data 0.408 (0.210)	Loss 2.6002 (2.5972)	Prec@1 36.328 (37.501)	Prec@5 67.578 (67.211)
Epoch: [68][3050/7045]	Time 0.103 (0.272)	Data 0.001 (0.209)	Loss 2.4586 (2.5974)	Prec@1 37.500 (37.498)	Prec@5 72.656 (67.209)
Epoch: [68][3060/7045]	Time 0.201 (0.272)	Data 0.149 (0.209)	Loss 2.5932 (2.5972)	Prec@1 33.594 (37.495)	Prec@5 67.188 (67.212)
Epoch: [68][3070/7045]	Time 0.846 (0.272)	Data 0.794 (0.209)	Loss 2.3070 (2.5973)	Prec@1 44.141 (37.494)	Prec@5 72.656 (67.211)
Epoch: [68][3080/7045]	Time 0.155 (0.272)	Data 0.103 (0.209)	Loss 2.7087 (2.5975)	Prec@1 35.156 (37.488)	Prec@5 63.672 (67.205)
Epoch: [68][3090/7045]	Time 0.660 (0.272)	Data 0.601 (0.209)	Loss 2.3700 (2.5975)	Prec@1 42.578 (37.490)	Prec@5 70.703 (67.208)
Epoch: [68][3100/7045]	Time 0.103 (0.272)	Data 0.001 (0.209)	Loss 2.6922 (2.5975)	Prec@1 39.844 (37.492)	Prec@5 65.625 (67.206)
Epoch: [68][3110/7045]	Time 0.362 (0.272)	Data 0.309 (0.209)	Loss 2.3154 (2.5976)	Prec@1 42.188 (37.494)	Prec@5 72.266 (67.205)
Epoch: [68][3120/7045]	Time 0.103 (0.272)	Data 0.001 (0.209)	Loss 2.5151 (2.5976)	Prec@1 41.406 (37.494)	Prec@5 64.453 (67.206)
Epoch: [68][3130/7045]	Time 0.108 (0.272)	Data 0.001 (0.209)	Loss 2.6628 (2.5980)	Prec@1 34.375 (37.483)	Prec@5 65.625 (67.198)
Epoch: [68][3140/7045]	Time 0.103 (0.272)	Data 0.004 (0.209)	Loss 2.5254 (2.5981)	Prec@1 41.016 (37.477)	Prec@5 69.141 (67.198)
Epoch: [68][3150/7045]	Time 0.168 (0.272)	Data 0.115 (0.209)	Loss 2.5299 (2.5980)	Prec@1 40.234 (37.482)	Prec@5 66.797 (67.199)
Epoch: [68][3160/7045]	Time 0.203 (0.272)	Data 0.153 (0.209)	Loss 2.6815 (2.5979)	Prec@1 36.328 (37.483)	Prec@5 66.016 (67.202)
Epoch: [68][3170/7045]	Time 0.285 (0.272)	Data 0.233 (0.209)	Loss 2.6498 (2.5981)	Prec@1 33.984 (37.480)	Prec@5 67.188 (67.197)
Epoch: [68][3180/7045]	Time 0.249 (0.272)	Data 0.198 (0.209)	Loss 2.4661 (2.5980)	Prec@1 42.578 (37.485)	Prec@5 66.406 (67.196)
Epoch: [68][3190/7045]	Time 0.226 (0.272)	Data 0.170 (0.209)	Loss 2.6731 (2.5979)	Prec@1 32.422 (37.483)	Prec@5 68.359 (67.200)
Epoch: [68][3200/7045]	Time 0.542 (0.272)	Data 0.491 (0.209)	Loss 2.9537 (2.5982)	Prec@1 30.859 (37.478)	Prec@5 64.844 (67.196)
Epoch: [68][3210/7045]	Time 0.417 (0.272)	Data 0.357 (0.209)	Loss 2.7362 (2.5982)	Prec@1 37.891 (37.480)	Prec@5 64.062 (67.192)
Epoch: [68][3220/7045]	Time 0.475 (0.272)	Data 0.416 (0.209)	Loss 2.7816 (2.5983)	Prec@1 34.375 (37.480)	Prec@5 62.891 (67.190)
Epoch: [68][3230/7045]	Time 0.108 (0.272)	Data 0.054 (0.209)	Loss 2.5964 (2.5982)	Prec@1 39.062 (37.480)	Prec@5 66.016 (67.191)
Epoch: [68][3240/7045]	Time 0.656 (0.272)	Data 0.603 (0.209)	Loss 2.5618 (2.5982)	Prec@1 39.844 (37.481)	Prec@5 66.016 (67.191)
Epoch: [68][3250/7045]	Time 0.102 (0.272)	Data 0.001 (0.209)	Loss 2.6074 (2.5983)	Prec@1 36.328 (37.476)	Prec@5 66.406 (67.189)
Epoch: [68][3260/7045]	Time 0.381 (0.272)	Data 0.328 (0.209)	Loss 2.5737 (2.5985)	Prec@1 38.672 (37.473)	Prec@5 69.141 (67.186)
Epoch: [68][3270/7045]	Time 0.550 (0.272)	Data 0.498 (0.209)	Loss 2.5519 (2.5985)	Prec@1 37.891 (37.468)	Prec@5 66.797 (67.183)
Epoch: [68][3280/7045]	Time 0.207 (0.272)	Data 0.156 (0.209)	Loss 2.6937 (2.5986)	Prec@1 37.109 (37.466)	Prec@5 64.062 (67.181)
Epoch: [68][3290/7045]	Time 0.689 (0.272)	Data 0.637 (0.209)	Loss 2.6079 (2.5987)	Prec@1 33.984 (37.464)	Prec@5 67.188 (67.178)
Epoch: [68][3300/7045]	Time 0.102 (0.272)	Data 0.047 (0.209)	Loss 2.4703 (2.5987)	Prec@1 39.453 (37.465)	Prec@5 69.141 (67.178)
Epoch: [68][3310/7045]	Time 0.706 (0.272)	Data 0.646 (0.209)	Loss 2.5215 (2.5985)	Prec@1 41.406 (37.470)	Prec@5 70.703 (67.182)
Epoch: [68][3320/7045]	Time 0.102 (0.272)	Data 0.004 (0.208)	Loss 2.6822 (2.5987)	Prec@1 39.453 (37.467)	Prec@5 66.406 (67.176)
Epoch: [68][3330/7045]	Time 0.107 (0.272)	Data 0.047 (0.208)	Loss 2.4134 (2.5986)	Prec@1 42.578 (37.471)	Prec@5 70.703 (67.178)
Epoch: [68][3340/7045]	Time 0.469 (0.272)	Data 0.418 (0.208)	Loss 2.4865 (2.5986)	Prec@1 37.109 (37.472)	Prec@5 69.141 (67.178)
Epoch: [68][3350/7045]	Time 0.196 (0.272)	Data 0.139 (0.208)	Loss 2.5375 (2.5988)	Prec@1 37.500 (37.468)	Prec@5 70.312 (67.175)
Epoch: [68][3360/7045]	Time 0.643 (0.272)	Data 0.592 (0.208)	Loss 2.4538 (2.5988)	Prec@1 40.625 (37.472)	Prec@5 69.141 (67.176)
Epoch: [68][3370/7045]	Time 0.108 (0.271)	Data 0.011 (0.208)	Loss 2.6449 (2.5989)	Prec@1 37.109 (37.474)	Prec@5 67.969 (67.173)
Epoch: [68][3380/7045]	Time 0.369 (0.271)	Data 0.316 (0.208)	Loss 2.5444 (2.5989)	Prec@1 36.328 (37.473)	Prec@5 67.578 (67.178)
Epoch: [68][3390/7045]	Time 0.340 (0.271)	Data 0.290 (0.208)	Loss 2.4112 (2.5989)	Prec@1 36.328 (37.474)	Prec@5 69.531 (67.178)
Epoch: [68][3400/7045]	Time 0.109 (0.271)	Data 0.057 (0.208)	Loss 2.4919 (2.5989)	Prec@1 40.234 (37.473)	Prec@5 70.312 (67.178)
Epoch: [68][3410/7045]	Time 0.424 (0.271)	Data 0.372 (0.208)	Loss 2.5807 (2.5988)	Prec@1 38.672 (37.474)	Prec@5 64.453 (67.178)
Epoch: [68][3420/7045]	Time 0.101 (0.271)	Data 0.016 (0.208)	Loss 2.4858 (2.5988)	Prec@1 38.672 (37.475)	Prec@5 68.750 (67.179)
Epoch: [68][3430/7045]	Time 0.474 (0.271)	Data 0.416 (0.208)	Loss 2.3329 (2.5987)	Prec@1 42.578 (37.476)	Prec@5 72.266 (67.182)
Epoch: [68][3440/7045]	Time 0.102 (0.271)	Data 0.001 (0.208)	Loss 2.6975 (2.5986)	Prec@1 33.984 (37.474)	Prec@5 64.062 (67.183)
Epoch: [68][3450/7045]	Time 0.321 (0.271)	Data 0.270 (0.208)	Loss 2.4583 (2.5987)	Prec@1 40.234 (37.470)	Prec@5 71.484 (67.184)
Epoch: [68][3460/7045]	Time 0.101 (0.271)	Data 0.004 (0.208)	Loss 2.5749 (2.5988)	Prec@1 37.500 (37.470)	Prec@5 67.188 (67.186)
Epoch: [68][3470/7045]	Time 0.239 (0.271)	Data 0.187 (0.208)	Loss 2.6470 (2.5990)	Prec@1 39.062 (37.467)	Prec@5 64.844 (67.181)
Epoch: [68][3480/7045]	Time 0.113 (0.271)	Data 0.061 (0.207)	Loss 2.6606 (2.5992)	Prec@1 31.250 (37.461)	Prec@5 70.312 (67.182)
Epoch: [68][3490/7045]	Time 0.109 (0.271)	Data 0.001 (0.207)	Loss 2.8115 (2.5992)	Prec@1 33.984 (37.459)	Prec@5 62.500 (67.180)
Epoch: [68][3500/7045]	Time 0.101 (0.271)	Data 0.001 (0.207)	Loss 2.7153 (2.5994)	Prec@1 37.500 (37.455)	Prec@5 64.453 (67.183)
Epoch: [68][3510/7045]	Time 0.145 (0.271)	Data 0.094 (0.207)	Loss 2.6796 (2.5995)	Prec@1 37.891 (37.457)	Prec@5 65.625 (67.180)
Epoch: [68][3520/7045]	Time 0.302 (0.270)	Data 0.251 (0.207)	Loss 2.5257 (2.5995)	Prec@1 40.625 (37.457)	Prec@5 69.922 (67.180)
Epoch: [68][3530/7045]	Time 0.102 (0.270)	Data 0.004 (0.207)	Loss 2.6646 (2.5994)	Prec@1 34.766 (37.453)	Prec@5 67.578 (67.180)
Epoch: [68][3540/7045]	Time 0.108 (0.270)	Data 0.007 (0.207)	Loss 2.5493 (2.5994)	Prec@1 40.234 (37.454)	Prec@5 67.969 (67.180)
Epoch: [68][3550/7045]	Time 0.102 (0.270)	Data 0.001 (0.207)	Loss 2.5768 (2.5994)	Prec@1 44.141 (37.453)	Prec@5 69.531 (67.177)
Epoch: [68][3560/7045]	Time 0.157 (0.270)	Data 0.105 (0.207)	Loss 2.5282 (2.5994)	Prec@1 40.234 (37.454)	Prec@5 71.484 (67.182)
Epoch: [68][3570/7045]	Time 0.420 (0.270)	Data 0.367 (0.207)	Loss 2.6644 (2.5992)	Prec@1 41.016 (37.457)	Prec@5 64.453 (67.184)
Epoch: [68][3580/7045]	Time 0.108 (0.270)	Data 0.001 (0.207)	Loss 2.5756 (2.5993)	Prec@1 37.109 (37.460)	Prec@5 67.969 (67.183)
Epoch: [68][3590/7045]	Time 0.512 (0.270)	Data 0.458 (0.207)	Loss 2.7083 (2.5993)	Prec@1 35.547 (37.456)	Prec@5 65.234 (67.185)
Epoch: [68][3600/7045]	Time 0.102 (0.270)	Data 0.051 (0.206)	Loss 2.5459 (2.5993)	Prec@1 38.281 (37.453)	Prec@5 69.141 (67.186)
Epoch: [68][3610/7045]	Time 0.193 (0.270)	Data 0.142 (0.207)	Loss 2.6850 (2.5995)	Prec@1 35.547 (37.450)	Prec@5 66.016 (67.184)
Epoch: [68][3620/7045]	Time 0.102 (0.270)	Data 0.001 (0.206)	Loss 2.5729 (2.5996)	Prec@1 34.766 (37.447)	Prec@5 69.922 (67.184)
Epoch: [68][3630/7045]	Time 0.108 (0.270)	Data 0.010 (0.206)	Loss 2.6816 (2.5997)	Prec@1 36.719 (37.443)	Prec@5 62.891 (67.181)
Epoch: [68][3640/7045]	Time 0.102 (0.270)	Data 0.001 (0.206)	Loss 2.7404 (2.5995)	Prec@1 37.500 (37.448)	Prec@5 63.672 (67.183)
Epoch: [68][3650/7045]	Time 0.101 (0.270)	Data 0.046 (0.206)	Loss 2.6124 (2.5996)	Prec@1 37.500 (37.450)	Prec@5 64.062 (67.179)
Epoch: [68][3660/7045]	Time 0.512 (0.270)	Data 0.461 (0.206)	Loss 2.4508 (2.5996)	Prec@1 41.797 (37.445)	Prec@5 69.531 (67.177)
Epoch: [68][3670/7045]	Time 0.102 (0.270)	Data 0.001 (0.206)	Loss 2.8341 (2.5996)	Prec@1 32.422 (37.445)	Prec@5 62.500 (67.177)
Epoch: [68][3680/7045]	Time 0.212 (0.270)	Data 0.161 (0.206)	Loss 2.5325 (2.5997)	Prec@1 39.453 (37.444)	Prec@5 69.922 (67.176)
Epoch: [68][3690/7045]	Time 0.102 (0.269)	Data 0.001 (0.206)	Loss 2.6885 (2.5996)	Prec@1 36.719 (37.448)	Prec@5 65.625 (67.177)
Epoch: [68][3700/7045]	Time 0.201 (0.269)	Data 0.150 (0.206)	Loss 2.4884 (2.5996)	Prec@1 39.453 (37.449)	Prec@5 66.406 (67.177)
Epoch: [68][3710/7045]	Time 0.569 (0.269)	Data 0.512 (0.206)	Loss 2.5889 (2.5996)	Prec@1 42.188 (37.450)	Prec@5 66.406 (67.178)
Epoch: [68][3720/7045]	Time 0.102 (0.269)	Data 0.001 (0.206)	Loss 2.6587 (2.5995)	Prec@1 33.984 (37.449)	Prec@5 62.891 (67.178)
Epoch: [68][3730/7045]	Time 0.441 (0.269)	Data 0.390 (0.206)	Loss 2.4835 (2.5995)	Prec@1 38.281 (37.446)	Prec@5 71.875 (67.178)
Epoch: [68][3740/7045]	Time 0.109 (0.269)	Data 0.003 (0.206)	Loss 2.6474 (2.5994)	Prec@1 37.500 (37.444)	Prec@5 65.625 (67.180)
Epoch: [68][3750/7045]	Time 0.546 (0.269)	Data 0.494 (0.206)	Loss 2.4970 (2.5993)	Prec@1 41.016 (37.446)	Prec@5 65.625 (67.182)
Epoch: [68][3760/7045]	Time 0.101 (0.269)	Data 0.003 (0.205)	Loss 2.6582 (2.5993)	Prec@1 36.328 (37.445)	Prec@5 66.406 (67.185)
Epoch: [68][3770/7045]	Time 0.110 (0.269)	Data 0.001 (0.205)	Loss 2.3597 (2.5992)	Prec@1 44.141 (37.447)	Prec@5 72.656 (67.185)
Epoch: [68][3780/7045]	Time 0.102 (0.269)	Data 0.051 (0.205)	Loss 2.6462 (2.5992)	Prec@1 36.719 (37.445)	Prec@5 67.969 (67.185)
Epoch: [68][3790/7045]	Time 0.110 (0.269)	Data 0.009 (0.205)	Loss 2.5475 (2.5993)	Prec@1 37.500 (37.446)	Prec@5 67.188 (67.182)
Epoch: [68][3800/7045]	Time 0.102 (0.270)	Data 0.001 (0.206)	Loss 2.5940 (2.5993)	Prec@1 36.719 (37.442)	Prec@5 67.969 (67.180)
Epoch: [68][3810/7045]	Time 0.150 (0.269)	Data 0.097 (0.206)	Loss 2.6249 (2.5992)	Prec@1 39.062 (37.446)	Prec@5 67.578 (67.183)
Epoch: [68][3820/7045]	Time 0.473 (0.269)	Data 0.422 (0.206)	Loss 2.6315 (2.5991)	Prec@1 35.547 (37.448)	Prec@5 66.016 (67.187)
Epoch: [68][3830/7045]	Time 0.226 (0.269)	Data 0.174 (0.206)	Loss 2.7044 (2.5992)	Prec@1 33.984 (37.448)	Prec@5 62.891 (67.184)
Epoch: [68][3840/7045]	Time 0.352 (0.269)	Data 0.301 (0.206)	Loss 2.3159 (2.5990)	Prec@1 41.797 (37.450)	Prec@5 72.266 (67.187)
Epoch: [68][3850/7045]	Time 0.178 (0.269)	Data 0.126 (0.206)	Loss 2.3396 (2.5990)	Prec@1 42.969 (37.451)	Prec@5 73.828 (67.187)
Epoch: [68][3860/7045]	Time 0.102 (0.269)	Data 0.001 (0.206)	Loss 2.5962 (2.5991)	Prec@1 40.234 (37.452)	Prec@5 69.141 (67.185)
Epoch: [68][3870/7045]	Time 0.548 (0.269)	Data 0.498 (0.206)	Loss 2.4250 (2.5991)	Prec@1 41.406 (37.452)	Prec@5 70.312 (67.184)
Epoch: [68][3880/7045]	Time 0.476 (0.269)	Data 0.425 (0.206)	Loss 2.7641 (2.5992)	Prec@1 32.422 (37.450)	Prec@5 65.625 (67.183)
Epoch: [68][3890/7045]	Time 0.142 (0.270)	Data 0.090 (0.206)	Loss 2.6871 (2.5992)	Prec@1 33.594 (37.451)	Prec@5 67.969 (67.185)
Epoch: [68][3900/7045]	Time 0.385 (0.270)	Data 0.333 (0.206)	Loss 2.6567 (2.5991)	Prec@1 35.156 (37.449)	Prec@5 67.188 (67.186)
Epoch: [68][3910/7045]	Time 0.340 (0.270)	Data 0.288 (0.206)	Loss 2.6416 (2.5991)	Prec@1 37.500 (37.448)	Prec@5 62.891 (67.183)
Epoch: [68][3920/7045]	Time 0.193 (0.270)	Data 0.137 (0.206)	Loss 2.6397 (2.5991)	Prec@1 35.156 (37.448)	Prec@5 65.625 (67.184)
Epoch: [68][3930/7045]	Time 0.707 (0.270)	Data 0.655 (0.206)	Loss 2.6475 (2.5991)	Prec@1 36.328 (37.448)	Prec@5 67.188 (67.185)
Epoch: [68][3940/7045]	Time 0.110 (0.270)	Data 0.017 (0.206)	Loss 2.6066 (2.5991)	Prec@1 41.406 (37.448)	Prec@5 67.188 (67.183)
Epoch: [68][3950/7045]	Time 0.648 (0.270)	Data 0.597 (0.206)	Loss 2.8115 (2.5992)	Prec@1 28.516 (37.448)	Prec@5 61.328 (67.179)
Epoch: [68][3960/7045]	Time 0.100 (0.269)	Data 0.004 (0.206)	Loss 2.6750 (2.5992)	Prec@1 35.156 (37.451)	Prec@5 65.234 (67.178)
Epoch: [68][3970/7045]	Time 0.361 (0.269)	Data 0.304 (0.206)	Loss 2.5379 (2.5993)	Prec@1 36.719 (37.449)	Prec@5 67.188 (67.177)
Epoch: [68][3980/7045]	Time 0.205 (0.270)	Data 0.153 (0.206)	Loss 2.5946 (2.5993)	Prec@1 37.109 (37.448)	Prec@5 67.578 (67.173)
Epoch: [68][3990/7045]	Time 0.171 (0.270)	Data 0.119 (0.206)	Loss 2.6821 (2.5993)	Prec@1 35.938 (37.449)	Prec@5 66.406 (67.174)
Epoch: [68][4000/7045]	Time 0.223 (0.270)	Data 0.172 (0.206)	Loss 2.5233 (2.5993)	Prec@1 37.891 (37.447)	Prec@5 69.141 (67.172)
Epoch: [68][4010/7045]	Time 0.197 (0.270)	Data 0.144 (0.206)	Loss 2.8002 (2.5993)	Prec@1 32.422 (37.447)	Prec@5 61.719 (67.174)
Epoch: [68][4020/7045]	Time 0.246 (0.270)	Data 0.189 (0.206)	Loss 2.4554 (2.5992)	Prec@1 34.375 (37.446)	Prec@5 71.484 (67.178)
Epoch: [68][4030/7045]	Time 0.104 (0.270)	Data 0.006 (0.206)	Loss 2.5566 (2.5992)	Prec@1 33.203 (37.441)	Prec@5 66.797 (67.176)
Epoch: [68][4040/7045]	Time 0.228 (0.270)	Data 0.176 (0.206)	Loss 2.6484 (2.5992)	Prec@1 33.203 (37.441)	Prec@5 64.062 (67.176)
Epoch: [68][4050/7045]	Time 0.343 (0.270)	Data 0.293 (0.206)	Loss 2.5372 (2.5990)	Prec@1 36.719 (37.444)	Prec@5 69.531 (67.178)
Epoch: [68][4060/7045]	Time 0.139 (0.270)	Data 0.088 (0.206)	Loss 2.3916 (2.5990)	Prec@1 42.578 (37.445)	Prec@5 72.266 (67.182)
Epoch: [68][4070/7045]	Time 0.490 (0.270)	Data 0.438 (0.206)	Loss 2.6326 (2.5992)	Prec@1 37.500 (37.441)	Prec@5 67.969 (67.179)
Epoch: [68][4080/7045]	Time 0.109 (0.270)	Data 0.001 (0.206)	Loss 2.7157 (2.5993)	Prec@1 29.297 (37.436)	Prec@5 67.969 (67.177)
Epoch: [68][4090/7045]	Time 0.136 (0.270)	Data 0.086 (0.206)	Loss 2.7761 (2.5994)	Prec@1 33.984 (37.436)	Prec@5 60.547 (67.172)
Epoch: [68][4100/7045]	Time 0.504 (0.270)	Data 0.451 (0.206)	Loss 2.6643 (2.5995)	Prec@1 33.984 (37.430)	Prec@5 64.844 (67.170)
Epoch: [68][4110/7045]	Time 0.102 (0.270)	Data 0.006 (0.206)	Loss 2.5173 (2.5994)	Prec@1 37.891 (37.432)	Prec@5 69.141 (67.170)
Epoch: [68][4120/7045]	Time 0.491 (0.270)	Data 0.439 (0.206)	Loss 2.5578 (2.5994)	Prec@1 35.547 (37.429)	Prec@5 69.141 (67.170)
Epoch: [68][4130/7045]	Time 0.450 (0.270)	Data 0.397 (0.206)	Loss 2.6211 (2.5993)	Prec@1 35.547 (37.429)	Prec@5 64.453 (67.172)
Epoch: [68][4140/7045]	Time 0.102 (0.269)	Data 0.001 (0.206)	Loss 2.5158 (2.5994)	Prec@1 41.406 (37.426)	Prec@5 68.750 (67.172)
Epoch: [68][4150/7045]	Time 0.583 (0.270)	Data 0.532 (0.206)	Loss 2.6378 (2.5995)	Prec@1 35.938 (37.424)	Prec@5 66.797 (67.173)
Epoch: [68][4160/7045]	Time 0.312 (0.270)	Data 0.262 (0.206)	Loss 2.7274 (2.5995)	Prec@1 35.938 (37.423)	Prec@5 68.750 (67.173)
Epoch: [68][4170/7045]	Time 0.270 (0.270)	Data 0.220 (0.206)	Loss 2.4491 (2.5995)	Prec@1 44.141 (37.424)	Prec@5 71.484 (67.176)
Epoch: [68][4180/7045]	Time 0.100 (0.270)	Data 0.045 (0.206)	Loss 2.5075 (2.5995)	Prec@1 35.938 (37.422)	Prec@5 72.266 (67.178)
Epoch: [68][4190/7045]	Time 0.159 (0.270)	Data 0.100 (0.206)	Loss 2.6185 (2.5994)	Prec@1 37.500 (37.424)	Prec@5 69.922 (67.182)
Epoch: [68][4200/7045]	Time 0.101 (0.270)	Data 0.001 (0.206)	Loss 2.8811 (2.5994)	Prec@1 28.906 (37.422)	Prec@5 62.500 (67.183)
Epoch: [68][4210/7045]	Time 0.358 (0.270)	Data 0.307 (0.206)	Loss 2.6833 (2.5996)	Prec@1 35.156 (37.421)	Prec@5 66.797 (67.181)
Epoch: [68][4220/7045]	Time 0.259 (0.270)	Data 0.208 (0.206)	Loss 2.6414 (2.5994)	Prec@1 33.594 (37.423)	Prec@5 69.141 (67.186)
Epoch: [68][4230/7045]	Time 0.100 (0.270)	Data 0.048 (0.206)	Loss 2.5104 (2.5994)	Prec@1 39.062 (37.424)	Prec@5 69.922 (67.183)
Epoch: [68][4240/7045]	Time 0.340 (0.269)	Data 0.289 (0.206)	Loss 2.4473 (2.5994)	Prec@1 42.188 (37.423)	Prec@5 71.484 (67.183)
Epoch: [68][4250/7045]	Time 0.101 (0.269)	Data 0.046 (0.206)	Loss 2.8922 (2.5995)	Prec@1 34.375 (37.420)	Prec@5 61.719 (67.181)
Epoch: [68][4260/7045]	Time 0.649 (0.269)	Data 0.590 (0.206)	Loss 2.6005 (2.5996)	Prec@1 37.500 (37.418)	Prec@5 68.359 (67.180)
Epoch: [68][4270/7045]	Time 0.101 (0.269)	Data 0.001 (0.206)	Loss 2.5971 (2.5997)	Prec@1 39.453 (37.419)	Prec@5 65.625 (67.180)
Epoch: [68][4280/7045]	Time 0.629 (0.269)	Data 0.572 (0.206)	Loss 2.5189 (2.5996)	Prec@1 41.406 (37.420)	Prec@5 69.531 (67.181)
Epoch: [68][4290/7045]	Time 0.214 (0.269)	Data 0.163 (0.206)	Loss 2.4559 (2.5996)	Prec@1 42.188 (37.421)	Prec@5 66.797 (67.181)
Epoch: [68][4300/7045]	Time 0.300 (0.269)	Data 0.242 (0.206)	Loss 2.3877 (2.5995)	Prec@1 42.969 (37.423)	Prec@5 71.484 (67.182)
Epoch: [68][4310/7045]	Time 0.118 (0.269)	Data 0.066 (0.206)	Loss 2.6131 (2.5995)	Prec@1 37.500 (37.422)	Prec@5 66.797 (67.181)
Epoch: [68][4320/7045]	Time 0.147 (0.270)	Data 0.089 (0.206)	Loss 2.7197 (2.5994)	Prec@1 32.812 (37.424)	Prec@5 67.188 (67.182)
Epoch: [68][4330/7045]	Time 0.103 (0.269)	Data 0.001 (0.206)	Loss 2.6083 (2.5995)	Prec@1 35.547 (37.424)	Prec@5 65.625 (67.182)
Epoch: [68][4340/7045]	Time 0.100 (0.269)	Data 0.046 (0.206)	Loss 2.5470 (2.5994)	Prec@1 36.328 (37.424)	Prec@5 66.406 (67.181)
Epoch: [68][4350/7045]	Time 0.101 (0.269)	Data 0.001 (0.206)	Loss 2.5786 (2.5995)	Prec@1 37.891 (37.424)	Prec@5 69.141 (67.184)
Epoch: [68][4360/7045]	Time 0.103 (0.269)	Data 0.049 (0.206)	Loss 2.7405 (2.5997)	Prec@1 35.938 (37.420)	Prec@5 61.328 (67.180)
Epoch: [68][4370/7045]	Time 0.194 (0.269)	Data 0.142 (0.206)	Loss 2.7170 (2.5997)	Prec@1 37.500 (37.418)	Prec@5 64.453 (67.181)
Epoch: [68][4380/7045]	Time 0.109 (0.269)	Data 0.005 (0.206)	Loss 2.6180 (2.5997)	Prec@1 36.719 (37.418)	Prec@5 64.844 (67.179)
Epoch: [68][4390/7045]	Time 0.513 (0.269)	Data 0.461 (0.206)	Loss 2.6967 (2.5998)	Prec@1 36.719 (37.416)	Prec@5 64.453 (67.177)
Epoch: [68][4400/7045]	Time 0.109 (0.269)	Data 0.001 (0.205)	Loss 2.5694 (2.5999)	Prec@1 36.719 (37.417)	Prec@5 68.359 (67.177)
Epoch: [68][4410/7045]	Time 0.571 (0.270)	Data 0.520 (0.206)	Loss 2.7776 (2.5999)	Prec@1 30.859 (37.416)	Prec@5 64.844 (67.177)
Epoch: [68][4420/7045]	Time 0.149 (0.270)	Data 0.091 (0.206)	Loss 2.5227 (2.5999)	Prec@1 32.031 (37.416)	Prec@5 67.969 (67.176)
Epoch: [68][4430/7045]	Time 0.158 (0.269)	Data 0.106 (0.206)	Loss 2.5400 (2.6000)	Prec@1 37.500 (37.412)	Prec@5 67.578 (67.172)
Epoch: [68][4440/7045]	Time 0.101 (0.270)	Data 0.003 (0.206)	Loss 2.2901 (2.6000)	Prec@1 42.578 (37.410)	Prec@5 70.703 (67.174)
Epoch: [68][4450/7045]	Time 0.205 (0.270)	Data 0.153 (0.206)	Loss 2.7536 (2.5999)	Prec@1 38.281 (37.414)	Prec@5 64.062 (67.175)
Epoch: [68][4460/7045]	Time 0.101 (0.269)	Data 0.048 (0.206)	Loss 2.7530 (2.5999)	Prec@1 37.109 (37.412)	Prec@5 68.750 (67.174)
Epoch: [68][4470/7045]	Time 0.114 (0.269)	Data 0.063 (0.206)	Loss 2.5472 (2.5998)	Prec@1 39.062 (37.414)	Prec@5 67.578 (67.175)
Epoch: [68][4480/7045]	Time 0.106 (0.269)	Data 0.001 (0.206)	Loss 2.5327 (2.5996)	Prec@1 39.844 (37.416)	Prec@5 71.484 (67.179)
Epoch: [68][4490/7045]	Time 0.108 (0.269)	Data 0.008 (0.206)	Loss 2.7148 (2.5995)	Prec@1 35.156 (37.419)	Prec@5 67.188 (67.182)
Epoch: [68][4500/7045]	Time 0.394 (0.270)	Data 0.343 (0.206)	Loss 2.6054 (2.5995)	Prec@1 34.375 (37.415)	Prec@5 69.141 (67.183)
Epoch: [68][4510/7045]	Time 0.103 (0.270)	Data 0.002 (0.206)	Loss 2.4112 (2.5995)	Prec@1 44.141 (37.417)	Prec@5 69.922 (67.184)
Epoch: [68][4520/7045]	Time 0.820 (0.270)	Data 0.768 (0.206)	Loss 2.3617 (2.5993)	Prec@1 40.234 (37.421)	Prec@5 72.266 (67.188)
Epoch: [68][4530/7045]	Time 0.108 (0.270)	Data 0.009 (0.206)	Loss 2.5405 (2.5994)	Prec@1 39.453 (37.422)	Prec@5 67.969 (67.186)
Epoch: [68][4540/7045]	Time 0.347 (0.270)	Data 0.297 (0.206)	Loss 2.4987 (2.5994)	Prec@1 37.500 (37.423)	Prec@5 70.312 (67.186)
Epoch: [68][4550/7045]	Time 0.548 (0.270)	Data 0.497 (0.206)	Loss 2.8084 (2.5995)	Prec@1 31.250 (37.421)	Prec@5 64.062 (67.185)
Epoch: [68][4560/7045]	Time 0.102 (0.270)	Data 0.003 (0.206)	Loss 2.6496 (2.5995)	Prec@1 32.422 (37.423)	Prec@5 67.969 (67.188)
Epoch: [68][4570/7045]	Time 0.393 (0.270)	Data 0.341 (0.206)	Loss 2.6072 (2.5994)	Prec@1 40.234 (37.424)	Prec@5 64.844 (67.188)
Epoch: [68][4580/7045]	Time 0.202 (0.270)	Data 0.149 (0.206)	Loss 2.7097 (2.5994)	Prec@1 35.938 (37.424)	Prec@5 67.578 (67.187)
Epoch: [68][4590/7045]	Time 0.224 (0.270)	Data 0.166 (0.206)	Loss 2.6254 (2.5994)	Prec@1 39.062 (37.422)	Prec@5 63.672 (67.186)
Epoch: [68][4600/7045]	Time 0.307 (0.270)	Data 0.255 (0.206)	Loss 2.6614 (2.5994)	Prec@1 34.375 (37.423)	Prec@5 64.844 (67.187)
Epoch: [68][4610/7045]	Time 0.103 (0.270)	Data 0.001 (0.206)	Loss 2.7059 (2.5993)	Prec@1 35.938 (37.424)	Prec@5 63.281 (67.189)
Epoch: [68][4620/7045]	Time 0.441 (0.270)	Data 0.389 (0.206)	Loss 2.5752 (2.5994)	Prec@1 39.062 (37.422)	Prec@5 65.625 (67.187)
Epoch: [68][4630/7045]	Time 0.252 (0.269)	Data 0.201 (0.206)	Loss 2.5808 (2.5993)	Prec@1 38.281 (37.422)	Prec@5 65.234 (67.187)
Epoch: [68][4640/7045]	Time 0.279 (0.269)	Data 0.227 (0.206)	Loss 2.5009 (2.5992)	Prec@1 34.375 (37.420)	Prec@5 69.922 (67.189)
Epoch: [68][4650/7045]	Time 0.234 (0.269)	Data 0.183 (0.206)	Loss 2.4774 (2.5992)	Prec@1 43.750 (37.420)	Prec@5 71.484 (67.190)
Epoch: [68][4660/7045]	Time 0.101 (0.269)	Data 0.046 (0.206)	Loss 2.5234 (2.5993)	Prec@1 36.328 (37.420)	Prec@5 65.625 (67.189)
Epoch: [68][4670/7045]	Time 0.448 (0.269)	Data 0.388 (0.206)	Loss 2.4182 (2.5993)	Prec@1 42.578 (37.421)	Prec@5 71.094 (67.189)
Epoch: [68][4680/7045]	Time 0.393 (0.269)	Data 0.342 (0.206)	Loss 2.6723 (2.5992)	Prec@1 35.156 (37.421)	Prec@5 72.266 (67.192)
Epoch: [68][4690/7045]	Time 0.166 (0.269)	Data 0.115 (0.206)	Loss 2.6520 (2.5993)	Prec@1 35.938 (37.419)	Prec@5 71.094 (67.191)
Epoch: [68][4700/7045]	Time 0.286 (0.269)	Data 0.227 (0.206)	Loss 2.5395 (2.5992)	Prec@1 37.500 (37.421)	Prec@5 67.969 (67.195)
Epoch: [68][4710/7045]	Time 0.278 (0.269)	Data 0.228 (0.205)	Loss 2.4851 (2.5992)	Prec@1 39.453 (37.421)	Prec@5 69.141 (67.194)
Epoch: [68][4720/7045]	Time 0.187 (0.269)	Data 0.135 (0.205)	Loss 2.5255 (2.5992)	Prec@1 39.844 (37.421)	Prec@5 69.531 (67.193)
Epoch: [68][4730/7045]	Time 0.293 (0.269)	Data 0.242 (0.205)	Loss 2.7818 (2.5992)	Prec@1 37.109 (37.422)	Prec@5 61.328 (67.192)
Epoch: [68][4740/7045]	Time 0.300 (0.269)	Data 0.248 (0.205)	Loss 2.4860 (2.5991)	Prec@1 40.625 (37.422)	Prec@5 70.312 (67.192)
Epoch: [68][4750/7045]	Time 0.220 (0.269)	Data 0.162 (0.205)	Loss 2.6453 (2.5991)	Prec@1 36.719 (37.420)	Prec@5 67.578 (67.193)
Epoch: [68][4760/7045]	Time 0.400 (0.269)	Data 0.349 (0.205)	Loss 2.4472 (2.5992)	Prec@1 39.062 (37.422)	Prec@5 73.438 (67.193)
Epoch: [68][4770/7045]	Time 0.102 (0.269)	Data 0.003 (0.205)	Loss 2.4803 (2.5990)	Prec@1 38.672 (37.424)	Prec@5 67.969 (67.197)
Epoch: [68][4780/7045]	Time 0.234 (0.269)	Data 0.182 (0.205)	Loss 2.5979 (2.5991)	Prec@1 37.109 (37.421)	Prec@5 67.188 (67.193)
Epoch: [68][4790/7045]	Time 0.585 (0.269)	Data 0.534 (0.205)	Loss 2.4805 (2.5990)	Prec@1 38.672 (37.425)	Prec@5 66.406 (67.195)
Epoch: [68][4800/7045]	Time 0.171 (0.269)	Data 0.121 (0.205)	Loss 2.5001 (2.5989)	Prec@1 39.453 (37.424)	Prec@5 69.141 (67.194)
Epoch: [68][4810/7045]	Time 0.334 (0.269)	Data 0.283 (0.205)	Loss 2.6778 (2.5990)	Prec@1 37.891 (37.423)	Prec@5 65.625 (67.193)
Epoch: [68][4820/7045]	Time 0.269 (0.269)	Data 0.217 (0.205)	Loss 2.9150 (2.5991)	Prec@1 33.594 (37.423)	Prec@5 62.500 (67.190)
Epoch: [68][4830/7045]	Time 0.103 (0.269)	Data 0.001 (0.205)	Loss 2.5802 (2.5990)	Prec@1 36.328 (37.424)	Prec@5 66.406 (67.192)
Epoch: [68][4840/7045]	Time 0.456 (0.269)	Data 0.405 (0.205)	Loss 2.4286 (2.5989)	Prec@1 45.312 (37.424)	Prec@5 69.531 (67.191)
Epoch: [68][4850/7045]	Time 0.136 (0.269)	Data 0.085 (0.205)	Loss 2.5383 (2.5989)	Prec@1 35.547 (37.426)	Prec@5 69.531 (67.192)
Epoch: [68][4860/7045]	Time 0.102 (0.269)	Data 0.001 (0.205)	Loss 2.4285 (2.5987)	Prec@1 40.625 (37.431)	Prec@5 68.750 (67.195)
Epoch: [68][4870/7045]	Time 0.497 (0.269)	Data 0.447 (0.205)	Loss 2.7657 (2.5987)	Prec@1 35.938 (37.429)	Prec@5 61.719 (67.195)
Epoch: [68][4880/7045]	Time 0.103 (0.269)	Data 0.001 (0.205)	Loss 2.6051 (2.5987)	Prec@1 37.500 (37.427)	Prec@5 66.406 (67.195)
Epoch: [68][4890/7045]	Time 0.104 (0.269)	Data 0.052 (0.205)	Loss 2.5565 (2.5987)	Prec@1 37.891 (37.429)	Prec@5 65.625 (67.196)
Epoch: [68][4900/7045]	Time 0.454 (0.269)	Data 0.403 (0.205)	Loss 2.6872 (2.5986)	Prec@1 33.594 (37.428)	Prec@5 66.406 (67.197)
Epoch: [68][4910/7045]	Time 0.100 (0.269)	Data 0.003 (0.205)	Loss 2.6216 (2.5986)	Prec@1 40.625 (37.430)	Prec@5 67.578 (67.197)
Epoch: [68][4920/7045]	Time 0.101 (0.269)	Data 0.002 (0.205)	Loss 2.6365 (2.5986)	Prec@1 34.375 (37.431)	Prec@5 67.578 (67.198)
Epoch: [68][4930/7045]	Time 0.416 (0.269)	Data 0.366 (0.205)	Loss 2.6536 (2.5987)	Prec@1 32.812 (37.430)	Prec@5 66.016 (67.195)
Epoch: [68][4940/7045]	Time 0.440 (0.269)	Data 0.389 (0.205)	Loss 2.6425 (2.5986)	Prec@1 40.234 (37.435)	Prec@5 66.406 (67.195)
Epoch: [68][4950/7045]	Time 0.102 (0.269)	Data 0.001 (0.205)	Loss 2.6330 (2.5989)	Prec@1 34.375 (37.429)	Prec@5 67.188 (67.190)
Epoch: [68][4960/7045]	Time 0.425 (0.269)	Data 0.374 (0.205)	Loss 2.5813 (2.5988)	Prec@1 37.891 (37.429)	Prec@5 71.094 (67.193)
Epoch: [68][4970/7045]	Time 0.259 (0.269)	Data 0.208 (0.205)	Loss 2.5811 (2.5990)	Prec@1 34.766 (37.426)	Prec@5 68.359 (67.191)
Epoch: [68][4980/7045]	Time 0.230 (0.269)	Data 0.178 (0.205)	Loss 2.6241 (2.5991)	Prec@1 37.500 (37.426)	Prec@5 67.578 (67.191)
Epoch: [68][4990/7045]	Time 0.143 (0.269)	Data 0.091 (0.205)	Loss 2.5227 (2.5992)	Prec@1 36.328 (37.425)	Prec@5 66.797 (67.190)
Epoch: [68][5000/7045]	Time 0.117 (0.268)	Data 0.065 (0.205)	Loss 2.6629 (2.5992)	Prec@1 35.938 (37.424)	Prec@5 63.672 (67.191)
Epoch: [68][5010/7045]	Time 0.284 (0.268)	Data 0.232 (0.205)	Loss 2.6113 (2.5991)	Prec@1 40.234 (37.425)	Prec@5 68.359 (67.193)
Epoch: [68][5020/7045]	Time 0.102 (0.268)	Data 0.008 (0.205)	Loss 2.6758 (2.5991)	Prec@1 35.547 (37.426)	Prec@5 66.016 (67.195)
Epoch: [68][5030/7045]	Time 0.391 (0.268)	Data 0.340 (0.205)	Loss 2.4865 (2.5989)	Prec@1 37.500 (37.428)	Prec@5 69.531 (67.199)
Epoch: [68][5040/7045]	Time 0.215 (0.268)	Data 0.164 (0.205)	Loss 2.5074 (2.5991)	Prec@1 41.016 (37.427)	Prec@5 69.141 (67.197)
Epoch: [68][5050/7045]	Time 0.182 (0.268)	Data 0.130 (0.205)	Loss 2.6434 (2.5991)	Prec@1 36.719 (37.427)	Prec@5 62.500 (67.196)
Epoch: [68][5060/7045]	Time 0.193 (0.268)	Data 0.142 (0.205)	Loss 2.6234 (2.5990)	Prec@1 38.281 (37.429)	Prec@5 65.234 (67.196)
Epoch: [68][5070/7045]	Time 0.215 (0.268)	Data 0.165 (0.205)	Loss 2.4686 (2.5989)	Prec@1 39.453 (37.430)	Prec@5 67.188 (67.197)
Epoch: [68][5080/7045]	Time 0.192 (0.268)	Data 0.141 (0.205)	Loss 2.6201 (2.5988)	Prec@1 39.062 (37.430)	Prec@5 64.844 (67.198)
Epoch: [68][5090/7045]	Time 0.112 (0.268)	Data 0.059 (0.205)	Loss 2.6393 (2.5988)	Prec@1 32.422 (37.431)	Prec@5 66.016 (67.199)
Epoch: [68][5100/7045]	Time 0.103 (0.268)	Data 0.050 (0.205)	Loss 2.5147 (2.5987)	Prec@1 39.453 (37.434)	Prec@5 69.141 (67.200)
Epoch: [68][5110/7045]	Time 0.103 (0.268)	Data 0.001 (0.204)	Loss 2.5944 (2.5987)	Prec@1 39.062 (37.432)	Prec@5 67.188 (67.200)
Epoch: [68][5120/7045]	Time 0.099 (0.268)	Data 0.045 (0.204)	Loss 2.6351 (2.5987)	Prec@1 36.719 (37.431)	Prec@5 67.578 (67.199)
Epoch: [68][5130/7045]	Time 0.162 (0.268)	Data 0.112 (0.204)	Loss 2.6203 (2.5987)	Prec@1 37.500 (37.433)	Prec@5 66.406 (67.200)
Epoch: [68][5140/7045]	Time 0.104 (0.268)	Data 0.001 (0.204)	Loss 2.3649 (2.5985)	Prec@1 42.578 (37.438)	Prec@5 70.703 (67.203)
Epoch: [68][5150/7045]	Time 0.101 (0.268)	Data 0.008 (0.204)	Loss 2.6792 (2.5985)	Prec@1 35.547 (37.438)	Prec@5 68.359 (67.203)
Epoch: [68][5160/7045]	Time 0.107 (0.268)	Data 0.054 (0.204)	Loss 2.4602 (2.5986)	Prec@1 41.797 (37.439)	Prec@5 69.141 (67.203)
Epoch: [68][5170/7045]	Time 0.213 (0.268)	Data 0.160 (0.204)	Loss 2.6522 (2.5986)	Prec@1 34.375 (37.440)	Prec@5 66.797 (67.205)
Epoch: [68][5180/7045]	Time 0.401 (0.268)	Data 0.350 (0.204)	Loss 2.5955 (2.5985)	Prec@1 37.109 (37.441)	Prec@5 64.844 (67.205)
Epoch: [68][5190/7045]	Time 0.190 (0.268)	Data 0.139 (0.204)	Loss 2.4873 (2.5986)	Prec@1 41.016 (37.441)	Prec@5 67.188 (67.202)
Epoch: [68][5200/7045]	Time 0.272 (0.268)	Data 0.220 (0.204)	Loss 2.6284 (2.5985)	Prec@1 37.109 (37.443)	Prec@5 65.625 (67.203)
Epoch: [68][5210/7045]	Time 0.356 (0.268)	Data 0.305 (0.205)	Loss 2.5653 (2.5985)	Prec@1 36.719 (37.443)	Prec@5 68.359 (67.202)
Epoch: [68][5220/7045]	Time 0.290 (0.268)	Data 0.240 (0.204)	Loss 2.6092 (2.5984)	Prec@1 36.328 (37.444)	Prec@5 66.016 (67.203)
Epoch: [68][5230/7045]	Time 0.171 (0.268)	Data 0.120 (0.204)	Loss 2.5505 (2.5984)	Prec@1 41.406 (37.442)	Prec@5 66.406 (67.202)
Epoch: [68][5240/7045]	Time 0.353 (0.268)	Data 0.296 (0.204)	Loss 2.7195 (2.5985)	Prec@1 39.844 (37.441)	Prec@5 64.453 (67.199)
Epoch: [68][5250/7045]	Time 0.103 (0.268)	Data 0.001 (0.204)	Loss 2.4834 (2.5986)	Prec@1 39.062 (37.439)	Prec@5 67.578 (67.196)
Epoch: [68][5260/7045]	Time 0.372 (0.268)	Data 0.320 (0.204)	Loss 2.8281 (2.5987)	Prec@1 32.422 (37.436)	Prec@5 64.453 (67.196)
Epoch: [68][5270/7045]	Time 0.482 (0.268)	Data 0.431 (0.204)	Loss 2.6703 (2.5987)	Prec@1 35.938 (37.436)	Prec@5 66.797 (67.196)
Epoch: [68][5280/7045]	Time 0.101 (0.268)	Data 0.002 (0.204)	Loss 2.6155 (2.5988)	Prec@1 35.547 (37.435)	Prec@5 69.531 (67.195)
Epoch: [68][5290/7045]	Time 0.468 (0.268)	Data 0.417 (0.204)	Loss 2.6916 (2.5988)	Prec@1 35.938 (37.435)	Prec@5 64.062 (67.195)
Epoch: [68][5300/7045]	Time 0.116 (0.268)	Data 0.064 (0.204)	Loss 2.3259 (2.5987)	Prec@1 44.531 (37.435)	Prec@5 73.828 (67.198)
Epoch: [68][5310/7045]	Time 0.127 (0.268)	Data 0.075 (0.204)	Loss 2.6010 (2.5989)	Prec@1 36.328 (37.431)	Prec@5 66.797 (67.196)
Epoch: [68][5320/7045]	Time 0.102 (0.268)	Data 0.001 (0.204)	Loss 2.7661 (2.5989)	Prec@1 30.859 (37.431)	Prec@5 62.109 (67.194)
Epoch: [68][5330/7045]	Time 0.281 (0.268)	Data 0.226 (0.204)	Loss 2.7926 (2.5988)	Prec@1 35.156 (37.430)	Prec@5 64.062 (67.194)
Epoch: [68][5340/7045]	Time 0.109 (0.268)	Data 0.056 (0.204)	Loss 2.6412 (2.5988)	Prec@1 32.812 (37.431)	Prec@5 69.531 (67.196)
Epoch: [68][5350/7045]	Time 0.101 (0.268)	Data 0.001 (0.204)	Loss 2.7377 (2.5987)	Prec@1 38.672 (37.429)	Prec@5 61.328 (67.195)
Epoch: [68][5360/7045]	Time 1.730 (0.268)	Data 1.677 (0.205)	Loss 2.3650 (2.5987)	Prec@1 41.406 (37.430)	Prec@5 73.828 (67.195)
Epoch: [68][5370/7045]	Time 0.101 (0.268)	Data 0.007 (0.204)	Loss 2.5819 (2.5987)	Prec@1 42.578 (37.431)	Prec@5 71.484 (67.198)
Epoch: [68][5380/7045]	Time 0.491 (0.268)	Data 0.440 (0.204)	Loss 2.6920 (2.5987)	Prec@1 32.812 (37.430)	Prec@5 66.016 (67.199)
Epoch: [68][5390/7045]	Time 0.105 (0.268)	Data 0.009 (0.204)	Loss 2.4398 (2.5986)	Prec@1 40.625 (37.429)	Prec@5 71.094 (67.199)
Epoch: [68][5400/7045]	Time 0.351 (0.268)	Data 0.300 (0.204)	Loss 2.7431 (2.5987)	Prec@1 37.891 (37.428)	Prec@5 65.625 (67.198)
Epoch: [68][5410/7045]	Time 0.217 (0.268)	Data 0.166 (0.204)	Loss 2.5700 (2.5987)	Prec@1 32.422 (37.426)	Prec@5 69.141 (67.199)
Epoch: [68][5420/7045]	Time 0.352 (0.268)	Data 0.301 (0.204)	Loss 2.4449 (2.5987)	Prec@1 42.188 (37.427)	Prec@5 71.094 (67.200)
Epoch: [68][5430/7045]	Time 0.439 (0.268)	Data 0.387 (0.204)	Loss 2.6678 (2.5986)	Prec@1 34.766 (37.428)	Prec@5 67.969 (67.200)
Epoch: [68][5440/7045]	Time 0.204 (0.268)	Data 0.153 (0.204)	Loss 2.6870 (2.5987)	Prec@1 37.109 (37.428)	Prec@5 65.625 (67.198)
Epoch: [68][5450/7045]	Time 0.337 (0.268)	Data 0.284 (0.204)	Loss 2.4630 (2.5987)	Prec@1 40.625 (37.430)	Prec@5 72.266 (67.202)
Epoch: [68][5460/7045]	Time 0.159 (0.268)	Data 0.109 (0.204)	Loss 2.4703 (2.5988)	Prec@1 39.844 (37.429)	Prec@5 72.266 (67.201)
Epoch: [68][5470/7045]	Time 0.291 (0.268)	Data 0.231 (0.204)	Loss 2.2674 (2.5985)	Prec@1 42.578 (37.431)	Prec@5 75.000 (67.205)
Epoch: [68][5480/7045]	Time 0.101 (0.268)	Data 0.001 (0.204)	Loss 2.5643 (2.5985)	Prec@1 35.938 (37.433)	Prec@5 67.969 (67.207)
Epoch: [68][5490/7045]	Time 0.431 (0.268)	Data 0.380 (0.204)	Loss 2.4282 (2.5984)	Prec@1 38.672 (37.432)	Prec@5 68.359 (67.208)
Epoch: [68][5500/7045]	Time 0.307 (0.268)	Data 0.257 (0.204)	Loss 2.5276 (2.5985)	Prec@1 34.766 (37.432)	Prec@5 67.969 (67.206)
Epoch: [68][5510/7045]	Time 0.239 (0.268)	Data 0.188 (0.204)	Loss 2.4926 (2.5984)	Prec@1 37.500 (37.435)	Prec@5 71.484 (67.209)
Epoch: [68][5520/7045]	Time 0.124 (0.268)	Data 0.073 (0.204)	Loss 2.3717 (2.5984)	Prec@1 45.703 (37.436)	Prec@5 73.438 (67.208)
Epoch: [68][5530/7045]	Time 1.843 (0.268)	Data 1.790 (0.204)	Loss 2.6085 (2.5985)	Prec@1 41.016 (37.436)	Prec@5 63.672 (67.206)
Epoch: [68][5540/7045]	Time 0.253 (0.268)	Data 0.201 (0.204)	Loss 2.8010 (2.5986)	Prec@1 35.547 (37.435)	Prec@5 64.844 (67.205)
Epoch: [68][5550/7045]	Time 0.362 (0.268)	Data 0.311 (0.204)	Loss 2.5818 (2.5985)	Prec@1 37.891 (37.434)	Prec@5 63.281 (67.206)
Epoch: [68][5560/7045]	Time 0.103 (0.268)	Data 0.001 (0.204)	Loss 2.7135 (2.5985)	Prec@1 36.328 (37.436)	Prec@5 65.625 (67.207)
Epoch: [68][5570/7045]	Time 0.286 (0.268)	Data 0.235 (0.204)	Loss 2.5968 (2.5985)	Prec@1 35.156 (37.435)	Prec@5 67.969 (67.209)
Epoch: [68][5580/7045]	Time 0.677 (0.268)	Data 0.627 (0.204)	Loss 2.5184 (2.5985)	Prec@1 37.500 (37.435)	Prec@5 69.141 (67.207)
Epoch: [68][5590/7045]	Time 0.109 (0.268)	Data 0.001 (0.204)	Loss 2.5381 (2.5985)	Prec@1 39.453 (37.436)	Prec@5 66.797 (67.207)
Epoch: [68][5600/7045]	Time 0.538 (0.268)	Data 0.486 (0.204)	Loss 2.6306 (2.5986)	Prec@1 33.594 (37.435)	Prec@5 67.969 (67.207)
Epoch: [68][5610/7045]	Time 0.131 (0.268)	Data 0.079 (0.204)	Loss 2.3633 (2.5986)	Prec@1 42.578 (37.436)	Prec@5 73.047 (67.207)
Epoch: [68][5620/7045]	Time 0.306 (0.268)	Data 0.255 (0.204)	Loss 2.4376 (2.5985)	Prec@1 39.062 (37.437)	Prec@5 69.531 (67.210)
Epoch: [68][5630/7045]	Time 0.103 (0.268)	Data 0.001 (0.204)	Loss 2.4690 (2.5985)	Prec@1 46.094 (37.439)	Prec@5 66.797 (67.211)
Epoch: [68][5640/7045]	Time 0.222 (0.268)	Data 0.171 (0.204)	Loss 2.4610 (2.5985)	Prec@1 41.406 (37.440)	Prec@5 72.266 (67.208)
Epoch: [68][5650/7045]	Time 0.438 (0.268)	Data 0.386 (0.204)	Loss 2.7280 (2.5986)	Prec@1 35.938 (37.439)	Prec@5 64.844 (67.206)
Epoch: [68][5660/7045]	Time 0.234 (0.268)	Data 0.182 (0.204)	Loss 2.5071 (2.5984)	Prec@1 39.844 (37.441)	Prec@5 70.312 (67.207)
Epoch: [68][5670/7045]	Time 0.326 (0.268)	Data 0.275 (0.204)	Loss 2.5303 (2.5983)	Prec@1 37.109 (37.442)	Prec@5 69.531 (67.209)
Epoch: [68][5680/7045]	Time 0.352 (0.268)	Data 0.299 (0.204)	Loss 2.8033 (2.5984)	Prec@1 35.156 (37.440)	Prec@5 65.625 (67.209)
Epoch: [68][5690/7045]	Time 0.108 (0.268)	Data 0.055 (0.204)	Loss 2.6035 (2.5984)	Prec@1 35.547 (37.442)	Prec@5 64.453 (67.210)
Epoch: [68][5700/7045]	Time 0.228 (0.268)	Data 0.177 (0.204)	Loss 2.4731 (2.5983)	Prec@1 42.578 (37.444)	Prec@5 69.922 (67.211)
Epoch: [68][5710/7045]	Time 0.110 (0.268)	Data 0.001 (0.204)	Loss 2.5688 (2.5983)	Prec@1 37.500 (37.442)	Prec@5 65.625 (67.211)
Epoch: [68][5720/7045]	Time 0.102 (0.268)	Data 0.001 (0.204)	Loss 2.7742 (2.5983)	Prec@1 35.547 (37.442)	Prec@5 67.188 (67.212)
Epoch: [68][5730/7045]	Time 0.215 (0.268)	Data 0.164 (0.204)	Loss 2.8315 (2.5982)	Prec@1 34.375 (37.444)	Prec@5 65.625 (67.213)
Epoch: [68][5740/7045]	Time 0.318 (0.268)	Data 0.257 (0.204)	Loss 2.4166 (2.5982)	Prec@1 41.016 (37.445)	Prec@5 73.047 (67.214)
Epoch: [68][5750/7045]	Time 0.146 (0.268)	Data 0.094 (0.204)	Loss 2.5200 (2.5982)	Prec@1 37.891 (37.445)	Prec@5 66.016 (67.215)
Epoch: [68][5760/7045]	Time 0.152 (0.268)	Data 0.101 (0.204)	Loss 2.6626 (2.5982)	Prec@1 35.938 (37.444)	Prec@5 67.188 (67.215)
Epoch: [68][5770/7045]	Time 0.670 (0.268)	Data 0.619 (0.204)	Loss 2.6400 (2.5982)	Prec@1 38.672 (37.447)	Prec@5 64.844 (67.216)
Epoch: [68][5780/7045]	Time 0.110 (0.268)	Data 0.059 (0.204)	Loss 2.5287 (2.5981)	Prec@1 40.625 (37.447)	Prec@5 66.016 (67.217)
Epoch: [68][5790/7045]	Time 0.167 (0.268)	Data 0.115 (0.204)	Loss 2.6016 (2.5980)	Prec@1 38.281 (37.448)	Prec@5 64.453 (67.216)
Epoch: [68][5800/7045]	Time 0.111 (0.268)	Data 0.060 (0.204)	Loss 2.7284 (2.5980)	Prec@1 36.719 (37.450)	Prec@5 66.406 (67.218)
Epoch: [68][5810/7045]	Time 0.365 (0.268)	Data 0.315 (0.204)	Loss 2.6978 (2.5980)	Prec@1 33.203 (37.449)	Prec@5 66.016 (67.216)
Epoch: [68][5820/7045]	Time 0.102 (0.268)	Data 0.001 (0.204)	Loss 2.5420 (2.5980)	Prec@1 39.844 (37.448)	Prec@5 66.406 (67.216)
Epoch: [68][5830/7045]	Time 0.102 (0.268)	Data 0.001 (0.205)	Loss 2.6807 (2.5980)	Prec@1 37.891 (37.449)	Prec@5 64.062 (67.217)
Epoch: [68][5840/7045]	Time 0.118 (0.268)	Data 0.067 (0.205)	Loss 2.6643 (2.5980)	Prec@1 34.766 (37.450)	Prec@5 65.234 (67.219)
Epoch: [68][5850/7045]	Time 0.575 (0.268)	Data 0.518 (0.205)	Loss 2.5005 (2.5979)	Prec@1 40.625 (37.450)	Prec@5 69.141 (67.220)
Epoch: [68][5860/7045]	Time 0.278 (0.268)	Data 0.227 (0.205)	Loss 2.5402 (2.5979)	Prec@1 37.109 (37.449)	Prec@5 64.453 (67.218)
Epoch: [68][5870/7045]	Time 0.299 (0.268)	Data 0.248 (0.205)	Loss 2.3962 (2.5980)	Prec@1 41.406 (37.448)	Prec@5 69.531 (67.218)
Epoch: [68][5880/7045]	Time 0.102 (0.268)	Data 0.004 (0.204)	Loss 2.6051 (2.5980)	Prec@1 39.062 (37.447)	Prec@5 67.969 (67.216)
Epoch: [68][5890/7045]	Time 0.112 (0.268)	Data 0.061 (0.204)	Loss 2.5614 (2.5980)	Prec@1 37.891 (37.448)	Prec@5 64.844 (67.215)
Epoch: [68][5900/7045]	Time 0.102 (0.268)	Data 0.001 (0.205)	Loss 2.6850 (2.5981)	Prec@1 37.500 (37.446)	Prec@5 64.844 (67.213)
Epoch: [68][5910/7045]	Time 0.107 (0.268)	Data 0.001 (0.205)	Loss 2.7626 (2.5982)	Prec@1 36.328 (37.444)	Prec@5 65.234 (67.212)
Epoch: [68][5920/7045]	Time 0.108 (0.268)	Data 0.056 (0.205)	Loss 2.5153 (2.5982)	Prec@1 36.719 (37.444)	Prec@5 68.359 (67.213)
Epoch: [68][5930/7045]	Time 0.109 (0.268)	Data 0.001 (0.205)	Loss 2.5007 (2.5981)	Prec@1 35.938 (37.445)	Prec@5 68.359 (67.214)
Epoch: [68][5940/7045]	Time 0.701 (0.268)	Data 0.651 (0.205)	Loss 2.5762 (2.5982)	Prec@1 35.547 (37.444)	Prec@5 69.922 (67.212)
Epoch: [68][5950/7045]	Time 0.389 (0.268)	Data 0.339 (0.204)	Loss 2.6211 (2.5982)	Prec@1 33.594 (37.445)	Prec@5 65.625 (67.210)
Epoch: [68][5960/7045]	Time 0.272 (0.268)	Data 0.222 (0.204)	Loss 2.6129 (2.5982)	Prec@1 33.203 (37.446)	Prec@5 70.312 (67.210)
Epoch: [68][5970/7045]	Time 0.440 (0.268)	Data 0.390 (0.204)	Loss 2.6041 (2.5982)	Prec@1 38.672 (37.447)	Prec@5 66.016 (67.209)
Epoch: [68][5980/7045]	Time 0.109 (0.268)	Data 0.001 (0.204)	Loss 2.6176 (2.5981)	Prec@1 35.547 (37.446)	Prec@5 66.406 (67.210)
Epoch: [68][5990/7045]	Time 0.102 (0.268)	Data 0.001 (0.204)	Loss 2.6911 (2.5982)	Prec@1 32.422 (37.443)	Prec@5 65.625 (67.209)
Epoch: [68][6000/7045]	Time 0.101 (0.268)	Data 0.001 (0.204)	Loss 2.5519 (2.5982)	Prec@1 39.453 (37.445)	Prec@5 71.094 (67.210)
Epoch: [68][6010/7045]	Time 1.811 (0.268)	Data 1.761 (0.205)	Loss 2.7136 (2.5982)	Prec@1 39.844 (37.444)	Prec@5 62.500 (67.208)
Epoch: [68][6020/7045]	Time 0.101 (0.268)	Data 0.048 (0.205)	Loss 2.3874 (2.5983)	Prec@1 40.625 (37.443)	Prec@5 70.312 (67.207)
Epoch: [68][6030/7045]	Time 0.102 (0.268)	Data 0.001 (0.205)	Loss 2.6797 (2.5982)	Prec@1 38.281 (37.444)	Prec@5 69.141 (67.209)
Epoch: [68][6040/7045]	Time 0.192 (0.268)	Data 0.140 (0.204)	Loss 2.7075 (2.5982)	Prec@1 37.891 (37.447)	Prec@5 64.844 (67.208)
Epoch: [68][6050/7045]	Time 0.110 (0.268)	Data 0.001 (0.204)	Loss 2.4085 (2.5980)	Prec@1 43.750 (37.451)	Prec@5 68.750 (67.211)
Epoch: [68][6060/7045]	Time 0.509 (0.268)	Data 0.457 (0.204)	Loss 2.3887 (2.5980)	Prec@1 38.281 (37.451)	Prec@5 71.094 (67.213)
Epoch: [68][6070/7045]	Time 0.111 (0.268)	Data 0.060 (0.204)	Loss 2.5891 (2.5979)	Prec@1 37.109 (37.452)	Prec@5 66.406 (67.214)
Epoch: [68][6080/7045]	Time 0.593 (0.268)	Data 0.542 (0.204)	Loss 2.5761 (2.5979)	Prec@1 39.844 (37.452)	Prec@5 69.531 (67.215)
Epoch: [68][6090/7045]	Time 0.102 (0.268)	Data 0.001 (0.205)	Loss 2.5731 (2.5979)	Prec@1 37.109 (37.453)	Prec@5 69.922 (67.215)
Epoch: [68][6100/7045]	Time 0.107 (0.268)	Data 0.048 (0.205)	Loss 2.8502 (2.5980)	Prec@1 32.812 (37.449)	Prec@5 62.500 (67.213)
Epoch: [68][6110/7045]	Time 0.102 (0.268)	Data 0.001 (0.204)	Loss 2.6374 (2.5980)	Prec@1 38.281 (37.448)	Prec@5 65.234 (67.213)
Epoch: [68][6120/7045]	Time 0.232 (0.268)	Data 0.181 (0.204)	Loss 2.4934 (2.5981)	Prec@1 38.281 (37.447)	Prec@5 71.094 (67.213)
Epoch: [68][6130/7045]	Time 0.208 (0.268)	Data 0.158 (0.204)	Loss 2.6557 (2.5981)	Prec@1 32.031 (37.446)	Prec@5 67.188 (67.213)
Epoch: [68][6140/7045]	Time 0.171 (0.268)	Data 0.121 (0.204)	Loss 2.6582 (2.5981)	Prec@1 36.719 (37.447)	Prec@5 66.406 (67.213)
Epoch: [68][6150/7045]	Time 0.254 (0.268)	Data 0.204 (0.204)	Loss 2.5912 (2.5979)	Prec@1 38.281 (37.450)	Prec@5 64.844 (67.216)
Epoch: [68][6160/7045]	Time 0.374 (0.268)	Data 0.315 (0.204)	Loss 2.2748 (2.5980)	Prec@1 46.875 (37.452)	Prec@5 73.828 (67.214)
Epoch: [68][6170/7045]	Time 0.455 (0.268)	Data 0.404 (0.204)	Loss 2.7589 (2.5979)	Prec@1 33.594 (37.452)	Prec@5 66.016 (67.214)
Epoch: [68][6180/7045]	Time 0.218 (0.268)	Data 0.166 (0.204)	Loss 2.5710 (2.5979)	Prec@1 37.109 (37.452)	Prec@5 67.969 (67.213)
Epoch: [68][6190/7045]	Time 0.314 (0.268)	Data 0.263 (0.204)	Loss 2.6012 (2.5980)	Prec@1 38.281 (37.450)	Prec@5 66.406 (67.211)
Epoch: [68][6200/7045]	Time 0.102 (0.268)	Data 0.005 (0.204)	Loss 2.6836 (2.5980)	Prec@1 33.203 (37.450)	Prec@5 64.453 (67.211)
Epoch: [68][6210/7045]	Time 0.102 (0.268)	Data 0.006 (0.204)	Loss 2.3977 (2.5980)	Prec@1 39.844 (37.451)	Prec@5 67.969 (67.211)
Epoch: [68][6220/7045]	Time 0.137 (0.268)	Data 0.086 (0.204)	Loss 2.4713 (2.5980)	Prec@1 36.719 (37.449)	Prec@5 71.484 (67.212)
Epoch: [68][6230/7045]	Time 0.520 (0.268)	Data 0.469 (0.204)	Loss 2.5755 (2.5980)	Prec@1 35.156 (37.449)	Prec@5 67.969 (67.214)
Epoch: [68][6240/7045]	Time 0.147 (0.268)	Data 0.095 (0.204)	Loss 2.5921 (2.5980)	Prec@1 35.547 (37.446)	Prec@5 67.578 (67.211)
Epoch: [68][6250/7045]	Time 2.831 (0.269)	Data 2.775 (0.205)	Loss 2.7256 (2.5980)	Prec@1 36.719 (37.444)	Prec@5 64.062 (67.212)
Epoch: [68][6260/7045]	Time 0.375 (0.269)	Data 0.324 (0.205)	Loss 2.5240 (2.5980)	Prec@1 41.016 (37.445)	Prec@5 67.969 (67.213)
Epoch: [68][6270/7045]	Time 0.102 (0.269)	Data 0.001 (0.205)	Loss 2.7035 (2.5979)	Prec@1 33.203 (37.445)	Prec@5 62.109 (67.212)
Epoch: [68][6280/7045]	Time 0.396 (0.269)	Data 0.345 (0.205)	Loss 2.7187 (2.5979)	Prec@1 38.281 (37.447)	Prec@5 64.844 (67.214)
Epoch: [68][6290/7045]	Time 0.279 (0.269)	Data 0.227 (0.205)	Loss 2.5027 (2.5978)	Prec@1 41.406 (37.447)	Prec@5 69.531 (67.214)
Epoch: [68][6300/7045]	Time 0.102 (0.269)	Data 0.001 (0.205)	Loss 2.4562 (2.5977)	Prec@1 42.578 (37.448)	Prec@5 69.922 (67.216)
Epoch: [68][6310/7045]	Time 0.440 (0.269)	Data 0.389 (0.205)	Loss 2.6620 (2.5977)	Prec@1 33.594 (37.448)	Prec@5 64.844 (67.214)
Epoch: [68][6320/7045]	Time 0.570 (0.269)	Data 0.518 (0.205)	Loss 2.5324 (2.5978)	Prec@1 39.062 (37.446)	Prec@5 72.266 (67.212)
Epoch: [68][6330/7045]	Time 0.279 (0.269)	Data 0.228 (0.205)	Loss 2.7285 (2.5977)	Prec@1 37.500 (37.447)	Prec@5 65.625 (67.213)
Epoch: [68][6340/7045]	Time 0.101 (0.269)	Data 0.001 (0.205)	Loss 2.8034 (2.5978)	Prec@1 34.766 (37.446)	Prec@5 60.938 (67.212)
Epoch: [68][6350/7045]	Time 0.102 (0.269)	Data 0.008 (0.205)	Loss 2.8280 (2.5978)	Prec@1 30.859 (37.446)	Prec@5 60.938 (67.212)
Epoch: [68][6360/7045]	Time 0.174 (0.269)	Data 0.124 (0.205)	Loss 2.7285 (2.5979)	Prec@1 40.234 (37.444)	Prec@5 66.406 (67.212)
Epoch: [68][6370/7045]	Time 0.244 (0.269)	Data 0.192 (0.205)	Loss 2.4512 (2.5978)	Prec@1 39.844 (37.444)	Prec@5 66.797 (67.212)
Epoch: [68][6380/7045]	Time 0.249 (0.269)	Data 0.197 (0.205)	Loss 2.6522 (2.5979)	Prec@1 41.016 (37.446)	Prec@5 66.406 (67.210)
Epoch: [68][6390/7045]	Time 0.104 (0.269)	Data 0.001 (0.205)	Loss 2.4637 (2.5979)	Prec@1 40.234 (37.444)	Prec@5 72.656 (67.210)
Epoch: [68][6400/7045]	Time 0.105 (0.269)	Data 0.053 (0.205)	Loss 2.7816 (2.5979)	Prec@1 32.812 (37.441)	Prec@5 65.234 (67.210)
Epoch: [68][6410/7045]	Time 0.426 (0.269)	Data 0.375 (0.205)	Loss 2.5823 (2.5979)	Prec@1 41.406 (37.444)	Prec@5 66.797 (67.210)
Epoch: [68][6420/7045]	Time 0.300 (0.269)	Data 0.248 (0.205)	Loss 2.5812 (2.5979)	Prec@1 37.109 (37.444)	Prec@5 66.797 (67.210)
Epoch: [68][6430/7045]	Time 0.144 (0.268)	Data 0.093 (0.205)	Loss 2.5957 (2.5979)	Prec@1 37.891 (37.443)	Prec@5 65.234 (67.210)
Epoch: [68][6440/7045]	Time 0.645 (0.269)	Data 0.594 (0.205)	Loss 2.8171 (2.5979)	Prec@1 31.641 (37.442)	Prec@5 64.453 (67.210)
Epoch: [68][6450/7045]	Time 0.479 (0.268)	Data 0.429 (0.205)	Loss 2.6070 (2.5978)	Prec@1 36.719 (37.442)	Prec@5 66.797 (67.211)
Epoch: [68][6460/7045]	Time 0.218 (0.269)	Data 0.166 (0.205)	Loss 2.8771 (2.5978)	Prec@1 32.422 (37.443)	Prec@5 63.281 (67.212)
Epoch: [68][6470/7045]	Time 0.110 (0.269)	Data 0.001 (0.205)	Loss 2.5611 (2.5979)	Prec@1 35.938 (37.441)	Prec@5 66.797 (67.211)
Epoch: [68][6480/7045]	Time 0.136 (0.269)	Data 0.083 (0.205)	Loss 2.5216 (2.5979)	Prec@1 39.453 (37.440)	Prec@5 67.969 (67.209)
Epoch: [68][6490/7045]	Time 0.148 (0.269)	Data 0.097 (0.205)	Loss 2.3948 (2.5979)	Prec@1 41.016 (37.440)	Prec@5 73.047 (67.209)
Epoch: [68][6500/7045]	Time 0.286 (0.269)	Data 0.235 (0.205)	Loss 2.9277 (2.5979)	Prec@1 30.078 (37.440)	Prec@5 64.062 (67.210)
Epoch: [68][6510/7045]	Time 0.434 (0.269)	Data 0.382 (0.205)	Loss 2.6965 (2.5979)	Prec@1 35.938 (37.441)	Prec@5 66.406 (67.211)
Epoch: [68][6520/7045]	Time 0.102 (0.269)	Data 0.001 (0.205)	Loss 2.6471 (2.5979)	Prec@1 34.375 (37.441)	Prec@5 64.453 (67.210)
Epoch: [68][6530/7045]	Time 0.102 (0.269)	Data 0.005 (0.205)	Loss 2.7256 (2.5979)	Prec@1 39.062 (37.442)	Prec@5 63.281 (67.210)
Epoch: [68][6540/7045]	Time 0.225 (0.269)	Data 0.174 (0.205)	Loss 2.6154 (2.5979)	Prec@1 37.109 (37.442)	Prec@5 66.797 (67.208)
Epoch: [68][6550/7045]	Time 0.264 (0.269)	Data 0.213 (0.205)	Loss 2.7726 (2.5980)	Prec@1 34.766 (37.441)	Prec@5 61.719 (67.209)
Epoch: [68][6560/7045]	Time 0.121 (0.269)	Data 0.069 (0.205)	Loss 2.6389 (2.5980)	Prec@1 37.109 (37.440)	Prec@5 67.188 (67.209)
Epoch: [68][6570/7045]	Time 0.102 (0.269)	Data 0.002 (0.205)	Loss 2.4502 (2.5981)	Prec@1 37.891 (37.438)	Prec@5 69.531 (67.209)
Epoch: [68][6580/7045]	Time 0.102 (0.269)	Data 0.001 (0.205)	Loss 2.3231 (2.5981)	Prec@1 42.969 (37.439)	Prec@5 72.266 (67.208)
Epoch: [68][6590/7045]	Time 0.108 (0.269)	Data 0.007 (0.205)	Loss 2.6006 (2.5981)	Prec@1 35.156 (37.438)	Prec@5 67.969 (67.207)
Epoch: [68][6600/7045]	Time 0.700 (0.269)	Data 0.650 (0.205)	Loss 2.4213 (2.5981)	Prec@1 39.453 (37.440)	Prec@5 70.703 (67.208)
Epoch: [68][6610/7045]	Time 0.108 (0.269)	Data 0.001 (0.205)	Loss 2.3341 (2.5979)	Prec@1 43.750 (37.444)	Prec@5 71.875 (67.211)
Epoch: [68][6620/7045]	Time 0.260 (0.269)	Data 0.202 (0.205)	Loss 2.7393 (2.5979)	Prec@1 36.719 (37.445)	Prec@5 68.359 (67.212)
Epoch: [68][6630/7045]	Time 0.101 (0.269)	Data 0.001 (0.205)	Loss 2.3390 (2.5979)	Prec@1 46.094 (37.446)	Prec@5 71.094 (67.211)
Epoch: [68][6640/7045]	Time 0.109 (0.269)	Data 0.056 (0.205)	Loss 2.5268 (2.5979)	Prec@1 42.188 (37.448)	Prec@5 68.750 (67.211)
Epoch: [68][6650/7045]	Time 0.775 (0.269)	Data 0.718 (0.205)	Loss 2.6459 (2.5978)	Prec@1 36.719 (37.449)	Prec@5 67.188 (67.213)
Epoch: [68][6660/7045]	Time 0.176 (0.269)	Data 0.119 (0.205)	Loss 2.5541 (2.5978)	Prec@1 32.031 (37.448)	Prec@5 66.797 (67.212)
Epoch: [68][6670/7045]	Time 0.212 (0.269)	Data 0.160 (0.205)	Loss 2.4847 (2.5978)	Prec@1 39.844 (37.449)	Prec@5 69.531 (67.214)
Epoch: [68][6680/7045]	Time 0.184 (0.269)	Data 0.133 (0.205)	Loss 2.4541 (2.5977)	Prec@1 41.016 (37.451)	Prec@5 70.703 (67.215)
Epoch: [68][6690/7045]	Time 0.102 (0.269)	Data 0.001 (0.205)	Loss 2.6250 (2.5977)	Prec@1 35.156 (37.449)	Prec@5 67.188 (67.216)
Epoch: [68][6700/7045]	Time 0.269 (0.269)	Data 0.218 (0.205)	Loss 2.7782 (2.5977)	Prec@1 32.422 (37.449)	Prec@5 64.062 (67.218)
Epoch: [68][6710/7045]	Time 0.430 (0.269)	Data 0.379 (0.205)	Loss 2.6264 (2.5978)	Prec@1 40.234 (37.449)	Prec@5 64.062 (67.216)
Epoch: [68][6720/7045]	Time 0.101 (0.269)	Data 0.001 (0.205)	Loss 2.4622 (2.5978)	Prec@1 39.453 (37.448)	Prec@5 69.531 (67.216)
Epoch: [68][6730/7045]	Time 0.177 (0.269)	Data 0.127 (0.205)	Loss 2.5196 (2.5978)	Prec@1 37.500 (37.446)	Prec@5 69.531 (67.216)
Epoch: [68][6740/7045]	Time 0.250 (0.269)	Data 0.199 (0.205)	Loss 2.3689 (2.5978)	Prec@1 41.797 (37.447)	Prec@5 70.312 (67.215)
Epoch: [68][6750/7045]	Time 0.515 (0.269)	Data 0.464 (0.205)	Loss 2.6420 (2.5977)	Prec@1 35.547 (37.448)	Prec@5 65.234 (67.217)
Epoch: [68][6760/7045]	Time 0.101 (0.269)	Data 0.005 (0.205)	Loss 2.7981 (2.5978)	Prec@1 37.109 (37.446)	Prec@5 62.500 (67.215)
Epoch: [68][6770/7045]	Time 0.197 (0.269)	Data 0.146 (0.205)	Loss 2.5695 (2.5978)	Prec@1 37.891 (37.444)	Prec@5 69.922 (67.215)
Epoch: [68][6780/7045]	Time 0.287 (0.269)	Data 0.235 (0.205)	Loss 2.5697 (2.5979)	Prec@1 37.891 (37.443)	Prec@5 67.188 (67.215)
Epoch: [68][6790/7045]	Time 0.233 (0.269)	Data 0.182 (0.205)	Loss 2.3514 (2.5979)	Prec@1 46.094 (37.444)	Prec@5 69.531 (67.212)
Epoch: [68][6800/7045]	Time 0.206 (0.269)	Data 0.156 (0.205)	Loss 2.7321 (2.5978)	Prec@1 35.547 (37.445)	Prec@5 64.062 (67.214)
Epoch: [68][6810/7045]	Time 0.675 (0.269)	Data 0.623 (0.205)	Loss 2.4104 (2.5978)	Prec@1 41.016 (37.444)	Prec@5 71.094 (67.215)
Epoch: [68][6820/7045]	Time 0.219 (0.269)	Data 0.168 (0.205)	Loss 2.4872 (2.5978)	Prec@1 39.453 (37.443)	Prec@5 70.703 (67.216)
Epoch: [68][6830/7045]	Time 0.457 (0.269)	Data 0.406 (0.205)	Loss 2.5485 (2.5978)	Prec@1 42.188 (37.444)	Prec@5 67.969 (67.216)
Epoch: [68][6840/7045]	Time 0.102 (0.269)	Data 0.001 (0.205)	Loss 2.3943 (2.5979)	Prec@1 41.406 (37.444)	Prec@5 69.922 (67.214)
Epoch: [68][6850/7045]	Time 0.103 (0.269)	Data 0.001 (0.205)	Loss 2.6046 (2.5979)	Prec@1 36.328 (37.444)	Prec@5 69.531 (67.215)
Epoch: [68][6860/7045]	Time 0.102 (0.269)	Data 0.001 (0.205)	Loss 2.7041 (2.5979)	Prec@1 32.812 (37.442)	Prec@5 63.281 (67.214)
Epoch: [68][6870/7045]	Time 0.265 (0.269)	Data 0.213 (0.205)	Loss 2.8487 (2.5979)	Prec@1 35.156 (37.441)	Prec@5 62.500 (67.213)
Epoch: [68][6880/7045]	Time 0.318 (0.269)	Data 0.269 (0.205)	Loss 2.5486 (2.5980)	Prec@1 38.672 (37.441)	Prec@5 69.922 (67.210)
Epoch: [68][6890/7045]	Time 0.130 (0.269)	Data 0.079 (0.205)	Loss 2.5202 (2.5980)	Prec@1 39.062 (37.441)	Prec@5 64.844 (67.209)
Epoch: [68][6900/7045]	Time 0.480 (0.269)	Data 0.423 (0.205)	Loss 2.7095 (2.5980)	Prec@1 33.984 (37.441)	Prec@5 65.234 (67.208)
Epoch: [68][6910/7045]	Time 0.479 (0.269)	Data 0.428 (0.205)	Loss 2.6264 (2.5980)	Prec@1 38.672 (37.440)	Prec@5 67.969 (67.209)
Epoch: [68][6920/7045]	Time 0.101 (0.269)	Data 0.003 (0.205)	Loss 2.5880 (2.5979)	Prec@1 39.062 (37.441)	Prec@5 64.453 (67.209)
Epoch: [68][6930/7045]	Time 0.102 (0.269)	Data 0.001 (0.205)	Loss 2.5804 (2.5980)	Prec@1 36.719 (37.439)	Prec@5 69.922 (67.208)
Epoch: [68][6940/7045]	Time 0.100 (0.269)	Data 0.001 (0.205)	Loss 2.7005 (2.5980)	Prec@1 39.844 (37.439)	Prec@5 62.109 (67.206)
Epoch: [68][6950/7045]	Time 0.147 (0.269)	Data 0.096 (0.205)	Loss 2.8135 (2.5981)	Prec@1 30.078 (37.438)	Prec@5 62.109 (67.205)
Epoch: [68][6960/7045]	Time 0.116 (0.269)	Data 0.064 (0.205)	Loss 2.5798 (2.5981)	Prec@1 39.844 (37.438)	Prec@5 67.969 (67.204)
Epoch: [68][6970/7045]	Time 0.245 (0.269)	Data 0.194 (0.205)	Loss 2.6366 (2.5980)	Prec@1 37.109 (37.439)	Prec@5 66.016 (67.204)
Epoch: [68][6980/7045]	Time 0.215 (0.269)	Data 0.164 (0.205)	Loss 2.6617 (2.5981)	Prec@1 35.156 (37.439)	Prec@5 67.578 (67.205)
Epoch: [68][6990/7045]	Time 0.296 (0.269)	Data 0.245 (0.205)	Loss 2.5351 (2.5981)	Prec@1 40.234 (37.439)	Prec@5 67.969 (67.204)
Epoch: [68][7000/7045]	Time 0.259 (0.269)	Data 0.208 (0.205)	Loss 2.7271 (2.5981)	Prec@1 37.109 (37.439)	Prec@5 66.406 (67.205)
Epoch: [68][7010/7045]	Time 0.101 (0.269)	Data 0.047 (0.205)	Loss 2.5121 (2.5980)	Prec@1 37.109 (37.441)	Prec@5 69.531 (67.206)
Epoch: [68][7020/7045]	Time 0.238 (0.269)	Data 0.180 (0.205)	Loss 2.4711 (2.5980)	Prec@1 38.672 (37.442)	Prec@5 69.922 (67.208)
Epoch: [68][7030/7045]	Time 0.575 (0.269)	Data 0.517 (0.205)	Loss 2.6423 (2.5981)	Prec@1 35.938 (37.442)	Prec@5 68.359 (67.207)
Epoch: [68][7040/7045]	Time 0.102 (0.269)	Data 0.000 (0.205)	Loss 2.5967 (2.5981)	Prec@1 38.281 (37.443)	Prec@5 66.797 (67.207)
Test: [0/143]	Time 1.206 (1.206)	Loss 2.2429 (2.2429)	Prec@1 48.828 (48.828)	Prec@5 76.562 (76.562)
Test: [10/143]	Time 0.105 (0.249)	Loss 1.7847 (2.0338)	Prec@1 57.422 (49.751)	Prec@5 80.859 (78.587)
Test: [20/143]	Time 0.438 (0.226)	Loss 2.1626 (2.0008)	Prec@1 45.703 (48.791)	Prec@5 76.953 (79.371)
Test: [30/143]	Time 0.179 (0.206)	Loss 2.3178 (2.0361)	Prec@1 44.141 (48.450)	Prec@5 69.531 (78.188)
Test: [40/143]	Time 0.321 (0.200)	Loss 2.7162 (2.0734)	Prec@1 26.562 (47.389)	Prec@5 68.359 (77.477)
Test: [50/143]	Time 0.200 (0.193)	Loss 1.9412 (2.1270)	Prec@1 46.484 (45.596)	Prec@5 81.250 (76.823)
Test: [60/143]	Time 0.216 (0.190)	Loss 2.3692 (2.1168)	Prec@1 36.328 (45.921)	Prec@5 76.562 (77.094)
Test: [70/143]	Time 0.175 (0.186)	Loss 3.0291 (2.1129)	Prec@1 26.562 (46.055)	Prec@5 57.422 (77.261)
Test: [80/143]	Time 0.059 (0.185)	Loss 1.9970 (2.1038)	Prec@1 48.438 (46.238)	Prec@5 81.250 (77.479)
Test: [90/143]	Time 0.115 (0.182)	Loss 1.8023 (2.0968)	Prec@1 56.250 (46.441)	Prec@5 84.766 (77.597)
Test: [100/143]	Time 0.188 (0.183)	Loss 1.9668 (2.0971)	Prec@1 53.125 (46.372)	Prec@5 82.031 (77.649)
Test: [110/143]	Time 0.057 (0.180)	Loss 1.9583 (2.0926)	Prec@1 50.781 (46.625)	Prec@5 80.469 (77.734)
Test: [120/143]	Time 0.178 (0.181)	Loss 1.7034 (2.0819)	Prec@1 60.156 (46.943)	Prec@5 87.109 (77.905)
Test: [130/143]	Time 0.058 (0.178)	Loss 1.6188 (2.0904)	Prec@1 63.281 (46.833)	Prec@5 80.469 (77.654)
Test: [140/143]	Time 0.237 (0.179)	Loss 3.1779 (2.1155)	Prec@1 19.922 (46.202)	Prec@5 57.812 (77.161)
 * Prec@1 46.205 Prec@5 77.184
Epoch: [69][0/7045]	Time 2.326 (2.326)	Data 2.251 (2.251)	Loss 2.3466 (2.3466)	Prec@1 41.406 (41.406)	Prec@5 71.094 (71.094)
Epoch: [69][10/7045]	Time 0.108 (0.408)	Data 0.058 (0.332)	Loss 2.4720 (2.5922)	Prec@1 40.625 (37.607)	Prec@5 70.312 (66.939)
Epoch: [69][20/7045]	Time 0.600 (0.345)	Data 0.544 (0.275)	Loss 2.5098 (2.5716)	Prec@1 40.234 (38.746)	Prec@5 69.531 (67.281)
Epoch: [69][30/7045]	Time 0.101 (0.304)	Data 0.001 (0.234)	Loss 2.5775 (2.5848)	Prec@1 40.234 (38.634)	Prec@5 65.625 (67.061)
Epoch: [69][40/7045]	Time 0.264 (0.296)	Data 0.213 (0.226)	Loss 2.7106 (2.5819)	Prec@1 35.547 (38.348)	Prec@5 66.406 (67.149)
Epoch: [69][50/7045]	Time 0.608 (0.290)	Data 0.556 (0.221)	Loss 2.6632 (2.5723)	Prec@1 38.281 (38.358)	Prec@5 65.625 (67.662)
Epoch: [69][60/7045]	Time 0.155 (0.280)	Data 0.104 (0.210)	Loss 2.5579 (2.5800)	Prec@1 34.766 (38.064)	Prec@5 69.141 (67.540)
Epoch: [69][70/7045]	Time 0.706 (0.279)	Data 0.654 (0.210)	Loss 2.7573 (2.5732)	Prec@1 38.281 (38.342)	Prec@5 66.016 (67.694)
Epoch: [69][80/7045]	Time 0.102 (0.272)	Data 0.001 (0.201)	Loss 2.6984 (2.5824)	Prec@1 37.891 (38.016)	Prec@5 64.062 (67.491)
Epoch: [69][90/7045]	Time 0.384 (0.271)	Data 0.333 (0.201)	Loss 2.5419 (2.5826)	Prec@1 38.281 (38.019)	Prec@5 67.969 (67.432)
Epoch: [69][100/7045]	Time 0.107 (0.269)	Data 0.055 (0.200)	Loss 2.5331 (2.5836)	Prec@1 35.547 (37.798)	Prec@5 68.359 (67.478)
Epoch: [69][110/7045]	Time 0.103 (0.270)	Data 0.001 (0.202)	Loss 2.5906 (2.5831)	Prec@1 35.156 (37.722)	Prec@5 67.578 (67.501)
Epoch: [69][120/7045]	Time 0.315 (0.267)	Data 0.264 (0.199)	Loss 2.9405 (2.5856)	Prec@1 33.203 (37.532)	Prec@5 58.203 (67.485)
Epoch: [69][130/7045]	Time 0.130 (0.265)	Data 0.078 (0.198)	Loss 2.5402 (2.5843)	Prec@1 36.719 (37.625)	Prec@5 65.625 (67.474)
Epoch: [69][140/7045]	Time 0.563 (0.279)	Data 0.512 (0.212)	Loss 2.5386 (2.5858)	Prec@1 33.984 (37.619)	Prec@5 71.094 (67.437)
Epoch: [69][150/7045]	Time 0.108 (0.276)	Data 0.056 (0.209)	Loss 2.6027 (2.5852)	Prec@1 39.062 (37.645)	Prec@5 68.750 (67.459)
Epoch: [69][160/7045]	Time 0.448 (0.275)	Data 0.396 (0.208)	Loss 2.5462 (2.5873)	Prec@1 33.203 (37.641)	Prec@5 71.094 (67.433)
Epoch: [69][170/7045]	Time 0.197 (0.272)	Data 0.146 (0.207)	Loss 2.5746 (2.5864)	Prec@1 39.844 (37.642)	Prec@5 69.922 (67.427)
Epoch: [69][180/7045]	Time 0.247 (0.271)	Data 0.196 (0.206)	Loss 2.5169 (2.5867)	Prec@1 35.938 (37.595)	Prec@5 65.625 (67.416)
Epoch: [69][190/7045]	Time 0.445 (0.271)	Data 0.386 (0.206)	Loss 2.4862 (2.5866)	Prec@1 37.500 (37.547)	Prec@5 70.703 (67.439)
Epoch: [69][200/7045]	Time 0.104 (0.269)	Data 0.052 (0.204)	Loss 2.6639 (2.5870)	Prec@1 36.719 (37.535)	Prec@5 67.188 (67.487)
Epoch: [69][210/7045]	Time 0.355 (0.268)	Data 0.303 (0.204)	Loss 2.5877 (2.5864)	Prec@1 33.203 (37.561)	Prec@5 70.312 (67.467)
Epoch: [69][220/7045]	Time 0.110 (0.272)	Data 0.059 (0.207)	Loss 2.5716 (2.5868)	Prec@1 38.281 (37.530)	Prec@5 69.141 (67.433)
Epoch: [69][230/7045]	Time 0.304 (0.271)	Data 0.252 (0.206)	Loss 2.5343 (2.5851)	Prec@1 35.156 (37.568)	Prec@5 68.750 (67.453)
Epoch: [69][240/7045]	Time 0.297 (0.270)	Data 0.239 (0.206)	Loss 2.5022 (2.5856)	Prec@1 39.062 (37.597)	Prec@5 71.094 (67.489)
Epoch: [69][250/7045]	Time 0.283 (0.269)	Data 0.232 (0.204)	Loss 2.5312 (2.5876)	Prec@1 40.234 (37.573)	Prec@5 67.188 (67.455)
Epoch: [69][260/7045]	Time 0.300 (0.268)	Data 0.249 (0.204)	Loss 2.5212 (2.5895)	Prec@1 38.281 (37.531)	Prec@5 69.141 (67.448)
Epoch: [69][270/7045]	Time 0.237 (0.267)	Data 0.185 (0.204)	Loss 2.4186 (2.5888)	Prec@1 39.453 (37.552)	Prec@5 68.750 (67.434)
Epoch: [69][280/7045]	Time 0.482 (0.267)	Data 0.423 (0.204)	Loss 2.6743 (2.5890)	Prec@1 32.422 (37.514)	Prec@5 64.062 (67.431)
Epoch: [69][290/7045]	Time 0.297 (0.267)	Data 0.240 (0.203)	Loss 2.5352 (2.5903)	Prec@1 38.672 (37.488)	Prec@5 69.922 (67.421)
Epoch: [69][300/7045]	Time 0.372 (0.266)	Data 0.320 (0.203)	Loss 2.6001 (2.5911)	Prec@1 34.375 (37.439)	Prec@5 65.625 (67.386)
Epoch: [69][310/7045]	Time 0.220 (0.265)	Data 0.170 (0.203)	Loss 2.3220 (2.5890)	Prec@1 40.625 (37.490)	Prec@5 71.484 (67.411)
Epoch: [69][320/7045]	Time 0.102 (0.264)	Data 0.010 (0.202)	Loss 2.4716 (2.5912)	Prec@1 41.016 (37.455)	Prec@5 69.531 (67.363)
Epoch: [69][330/7045]	Time 0.304 (0.264)	Data 0.252 (0.202)	Loss 2.3549 (2.5908)	Prec@1 41.016 (37.499)	Prec@5 72.266 (67.375)
Epoch: [69][340/7045]	Time 0.281 (0.264)	Data 0.230 (0.202)	Loss 2.7038 (2.5888)	Prec@1 36.328 (37.490)	Prec@5 64.062 (67.411)
Epoch: [69][350/7045]	Time 0.205 (0.263)	Data 0.153 (0.201)	Loss 2.3074 (2.5881)	Prec@1 42.578 (37.547)	Prec@5 72.266 (67.403)
Epoch: [69][360/7045]	Time 0.215 (0.263)	Data 0.165 (0.201)	Loss 2.7039 (2.5890)	Prec@1 33.984 (37.538)	Prec@5 62.500 (67.395)
Epoch: [69][370/7045]	Time 0.498 (0.263)	Data 0.442 (0.201)	Loss 2.6988 (2.5893)	Prec@1 36.328 (37.519)	Prec@5 63.281 (67.390)
Epoch: [69][380/7045]	Time 0.174 (0.262)	Data 0.123 (0.200)	Loss 2.6521 (2.5886)	Prec@1 33.984 (37.528)	Prec@5 69.531 (67.410)
Epoch: [69][390/7045]	Time 0.546 (0.262)	Data 0.495 (0.200)	Loss 2.6162 (2.5885)	Prec@1 40.234 (37.559)	Prec@5 64.453 (67.383)
Epoch: [69][400/7045]	Time 0.109 (0.261)	Data 0.058 (0.199)	Loss 2.4619 (2.5885)	Prec@1 40.234 (37.566)	Prec@5 69.922 (67.387)
Epoch: [69][410/7045]	Time 3.176 (0.268)	Data 3.121 (0.206)	Loss 2.5620 (2.5877)	Prec@1 34.766 (37.578)	Prec@5 66.406 (67.379)
Epoch: [69][420/7045]	Time 0.102 (0.267)	Data 0.007 (0.205)	Loss 2.5220 (2.5884)	Prec@1 35.938 (37.543)	Prec@5 67.188 (67.371)
Epoch: [69][430/7045]	Time 0.517 (0.266)	Data 0.465 (0.204)	Loss 2.5257 (2.5888)	Prec@1 36.719 (37.528)	Prec@5 69.141 (67.368)
Epoch: [69][440/7045]	Time 0.095 (0.266)	Data 0.001 (0.203)	Loss 2.4599 (2.5876)	Prec@1 43.359 (37.565)	Prec@5 72.656 (67.402)
Epoch: [69][450/7045]	Time 0.581 (0.265)	Data 0.529 (0.203)	Loss 2.6164 (2.5868)	Prec@1 38.672 (37.587)	Prec@5 71.094 (67.428)
Epoch: [69][460/7045]	Time 0.109 (0.265)	Data 0.004 (0.202)	Loss 2.5606 (2.5871)	Prec@1 35.156 (37.569)	Prec@5 69.141 (67.405)
Epoch: [69][470/7045]	Time 0.426 (0.264)	Data 0.374 (0.201)	Loss 2.7270 (2.5897)	Prec@1 36.328 (37.535)	Prec@5 61.328 (67.365)
Epoch: [69][480/7045]	Time 0.108 (0.264)	Data 0.005 (0.200)	Loss 2.6320 (2.5912)	Prec@1 35.938 (37.502)	Prec@5 63.281 (67.349)
Epoch: [69][490/7045]	Time 0.508 (0.263)	Data 0.457 (0.200)	Loss 2.6255 (2.5911)	Prec@1 36.328 (37.490)	Prec@5 64.062 (67.351)
Epoch: [69][500/7045]	Time 0.107 (0.263)	Data 0.045 (0.199)	Loss 2.5856 (2.5920)	Prec@1 36.328 (37.470)	Prec@5 66.797 (67.340)
Epoch: [69][510/7045]	Time 0.481 (0.267)	Data 0.431 (0.204)	Loss 2.6470 (2.5913)	Prec@1 35.156 (37.498)	Prec@5 63.672 (67.359)
Epoch: [69][520/7045]	Time 0.102 (0.266)	Data 0.002 (0.203)	Loss 2.4777 (2.5905)	Prec@1 38.672 (37.503)	Prec@5 66.797 (67.370)
Epoch: [69][530/7045]	Time 0.415 (0.266)	Data 0.364 (0.203)	Loss 2.5829 (2.5895)	Prec@1 35.938 (37.502)	Prec@5 64.844 (67.390)
Epoch: [69][540/7045]	Time 0.134 (0.266)	Data 0.078 (0.203)	Loss 2.5491 (2.5902)	Prec@1 39.453 (37.500)	Prec@5 68.750 (67.374)
Epoch: [69][550/7045]	Time 0.419 (0.265)	Data 0.365 (0.203)	Loss 2.7087 (2.5895)	Prec@1 34.375 (37.515)	Prec@5 67.969 (67.402)
Epoch: [69][560/7045]	Time 0.384 (0.265)	Data 0.334 (0.202)	Loss 2.6041 (2.5892)	Prec@1 35.938 (37.505)	Prec@5 65.234 (67.399)
Epoch: [69][570/7045]	Time 0.260 (0.265)	Data 0.203 (0.202)	Loss 2.3858 (2.5900)	Prec@1 42.969 (37.494)	Prec@5 69.922 (67.377)
Epoch: [69][580/7045]	Time 0.394 (0.264)	Data 0.344 (0.202)	Loss 2.6242 (2.5896)	Prec@1 36.328 (37.525)	Prec@5 68.359 (67.369)
Epoch: [69][590/7045]	Time 0.101 (0.264)	Data 0.001 (0.201)	Loss 2.7152 (2.5907)	Prec@1 36.328 (37.501)	Prec@5 70.703 (67.359)
Epoch: [69][600/7045]	Time 0.162 (0.266)	Data 0.110 (0.204)	Loss 2.7010 (2.5902)	Prec@1 33.203 (37.512)	Prec@5 65.234 (67.365)
Epoch: [69][610/7045]	Time 0.105 (0.266)	Data 0.047 (0.203)	Loss 2.5645 (2.5903)	Prec@1 40.234 (37.531)	Prec@5 64.453 (67.368)
Epoch: [69][620/7045]	Time 0.205 (0.266)	Data 0.155 (0.204)	Loss 2.5716 (2.5892)	Prec@1 39.844 (37.542)	Prec@5 66.016 (67.391)
Epoch: [69][630/7045]	Time 0.102 (0.265)	Data 0.003 (0.203)	Loss 2.4681 (2.5882)	Prec@1 37.500 (37.554)	Prec@5 69.531 (67.394)
Epoch: [69][640/7045]	Time 0.300 (0.266)	Data 0.248 (0.203)	Loss 2.4496 (2.5878)	Prec@1 41.797 (37.569)	Prec@5 69.141 (67.414)
Epoch: [69][650/7045]	Time 0.102 (0.265)	Data 0.047 (0.202)	Loss 2.7440 (2.5873)	Prec@1 40.625 (37.574)	Prec@5 64.844 (67.415)
Epoch: [69][660/7045]	Time 0.380 (0.265)	Data 0.323 (0.202)	Loss 2.7691 (2.5882)	Prec@1 34.375 (37.553)	Prec@5 61.719 (67.401)
Epoch: [69][670/7045]	Time 0.114 (0.265)	Data 0.063 (0.203)	Loss 2.4164 (2.5869)	Prec@1 41.406 (37.572)	Prec@5 70.312 (67.418)
Epoch: [69][680/7045]	Time 0.526 (0.266)	Data 0.469 (0.203)	Loss 2.5068 (2.5873)	Prec@1 36.719 (37.565)	Prec@5 70.312 (67.416)
Epoch: [69][690/7045]	Time 0.102 (0.265)	Data 0.048 (0.202)	Loss 2.4551 (2.5872)	Prec@1 38.281 (37.569)	Prec@5 67.969 (67.422)
Epoch: [69][700/7045]	Time 0.600 (0.265)	Data 0.550 (0.203)	Loss 2.6189 (2.5879)	Prec@1 35.547 (37.577)	Prec@5 66.016 (67.408)
Epoch: [69][710/7045]	Time 0.170 (0.265)	Data 0.119 (0.202)	Loss 2.6480 (2.5883)	Prec@1 36.328 (37.559)	Prec@5 64.062 (67.394)
Epoch: [69][720/7045]	Time 0.691 (0.265)	Data 0.634 (0.202)	Loss 2.6722 (2.5883)	Prec@1 36.328 (37.550)	Prec@5 67.578 (67.398)
Epoch: [69][730/7045]	Time 0.352 (0.264)	Data 0.301 (0.202)	Loss 2.5683 (2.5891)	Prec@1 38.672 (37.528)	Prec@5 67.188 (67.395)
Epoch: [69][740/7045]	Time 0.387 (0.264)	Data 0.337 (0.202)	Loss 2.5897 (2.5891)	Prec@1 35.938 (37.530)	Prec@5 68.750 (67.402)
Epoch: [69][750/7045]	Time 0.102 (0.264)	Data 0.001 (0.201)	Loss 2.7833 (2.5884)	Prec@1 31.641 (37.545)	Prec@5 63.281 (67.414)
Epoch: [69][760/7045]	Time 0.185 (0.263)	Data 0.135 (0.201)	Loss 2.6326 (2.5884)	Prec@1 41.406 (37.554)	Prec@5 67.578 (67.411)
Epoch: [69][770/7045]	Time 0.101 (0.263)	Data 0.001 (0.201)	Loss 2.7839 (2.5885)	Prec@1 36.328 (37.545)	Prec@5 64.844 (67.417)
Epoch: [69][780/7045]	Time 0.133 (0.263)	Data 0.081 (0.200)	Loss 2.5880 (2.5886)	Prec@1 35.938 (37.554)	Prec@5 64.844 (67.412)
Epoch: [69][790/7045]	Time 0.158 (0.263)	Data 0.106 (0.201)	Loss 2.7437 (2.5884)	Prec@1 37.109 (37.564)	Prec@5 63.281 (67.416)
Epoch: [69][800/7045]	Time 0.109 (0.263)	Data 0.057 (0.200)	Loss 2.4494 (2.5881)	Prec@1 39.453 (37.582)	Prec@5 72.266 (67.433)
Epoch: [69][810/7045]	Time 0.200 (0.264)	Data 0.143 (0.202)	Loss 2.6461 (2.5888)	Prec@1 32.812 (37.555)	Prec@5 66.406 (67.414)
Epoch: [69][820/7045]	Time 0.123 (0.263)	Data 0.072 (0.201)	Loss 2.6256 (2.5887)	Prec@1 34.766 (37.557)	Prec@5 70.703 (67.416)
Epoch: [69][830/7045]	Time 0.132 (0.263)	Data 0.080 (0.201)	Loss 2.6641 (2.5884)	Prec@1 39.062 (37.563)	Prec@5 64.844 (67.412)
Epoch: [69][840/7045]	Time 0.197 (0.263)	Data 0.147 (0.201)	Loss 2.5912 (2.5881)	Prec@1 39.062 (37.573)	Prec@5 66.016 (67.417)
Epoch: [69][850/7045]	Time 0.102 (0.263)	Data 0.046 (0.201)	Loss 2.5123 (2.5888)	Prec@1 39.453 (37.561)	Prec@5 68.359 (67.402)
Epoch: [69][860/7045]	Time 0.249 (0.263)	Data 0.198 (0.201)	Loss 2.5673 (2.5888)	Prec@1 41.797 (37.558)	Prec@5 71.094 (67.399)
Epoch: [69][870/7045]	Time 0.145 (0.262)	Data 0.093 (0.201)	Loss 2.6258 (2.5894)	Prec@1 35.938 (37.557)	Prec@5 66.797 (67.399)
Epoch: [69][880/7045]	Time 0.228 (0.262)	Data 0.176 (0.200)	Loss 2.5223 (2.5896)	Prec@1 41.797 (37.564)	Prec@5 67.969 (67.398)
Epoch: [69][890/7045]	Time 0.103 (0.263)	Data 0.001 (0.201)	Loss 2.4345 (2.5894)	Prec@1 42.578 (37.586)	Prec@5 71.484 (67.403)
Epoch: [69][900/7045]	Time 0.283 (0.263)	Data 0.232 (0.201)	Loss 2.7647 (2.5890)	Prec@1 37.109 (37.611)	Prec@5 64.062 (67.411)
Epoch: [69][910/7045]	Time 0.575 (0.263)	Data 0.525 (0.201)	Loss 2.4469 (2.5890)	Prec@1 37.891 (37.613)	Prec@5 71.875 (67.409)
Epoch: [69][920/7045]	Time 0.111 (0.262)	Data 0.049 (0.201)	Loss 2.5950 (2.5889)	Prec@1 36.719 (37.616)	Prec@5 66.406 (67.407)
Epoch: [69][930/7045]	Time 0.347 (0.262)	Data 0.297 (0.201)	Loss 2.5137 (2.5895)	Prec@1 40.625 (37.602)	Prec@5 68.359 (67.396)
Epoch: [69][940/7045]	Time 0.102 (0.262)	Data 0.002 (0.200)	Loss 2.6836 (2.5900)	Prec@1 36.328 (37.593)	Prec@5 65.234 (67.395)
Epoch: [69][950/7045]	Time 0.102 (0.262)	Data 0.049 (0.200)	Loss 2.4895 (2.5899)	Prec@1 39.844 (37.585)	Prec@5 70.703 (67.399)
Epoch: [69][960/7045]	Time 0.133 (0.262)	Data 0.083 (0.200)	Loss 2.4946 (2.5898)	Prec@1 46.875 (37.589)	Prec@5 69.141 (67.400)
Epoch: [69][970/7045]	Time 0.218 (0.262)	Data 0.167 (0.200)	Loss 2.7239 (2.5892)	Prec@1 37.500 (37.602)	Prec@5 67.969 (67.418)
Epoch: [69][980/7045]	Time 0.102 (0.262)	Data 0.001 (0.200)	Loss 2.5141 (2.5888)	Prec@1 41.797 (37.612)	Prec@5 68.359 (67.422)
Epoch: [69][990/7045]	Time 0.102 (0.262)	Data 0.046 (0.200)	Loss 2.7594 (2.5887)	Prec@1 39.062 (37.607)	Prec@5 62.109 (67.432)
Epoch: [69][1000/7045]	Time 0.322 (0.262)	Data 0.270 (0.201)	Loss 2.5758 (2.5887)	Prec@1 37.891 (37.600)	Prec@5 69.141 (67.435)
Epoch: [69][1010/7045]	Time 0.103 (0.262)	Data 0.001 (0.200)	Loss 2.6787 (2.5886)	Prec@1 34.766 (37.610)	Prec@5 64.062 (67.443)
Epoch: [69][1020/7045]	Time 0.205 (0.262)	Data 0.154 (0.200)	Loss 2.5324 (2.5887)	Prec@1 36.719 (37.609)	Prec@5 69.531 (67.441)
Epoch: [69][1030/7045]	Time 0.421 (0.262)	Data 0.370 (0.200)	Loss 2.4842 (2.5888)	Prec@1 38.281 (37.608)	Prec@5 69.922 (67.442)
Epoch: [69][1040/7045]	Time 0.154 (0.261)	Data 0.103 (0.200)	Loss 2.6173 (2.5882)	Prec@1 35.938 (37.604)	Prec@5 67.969 (67.466)
Epoch: [69][1050/7045]	Time 0.270 (0.261)	Data 0.219 (0.200)	Loss 2.6454 (2.5882)	Prec@1 36.719 (37.603)	Prec@5 69.531 (67.466)
Epoch: [69][1060/7045]	Time 1.301 (0.262)	Data 1.250 (0.201)	Loss 2.6442 (2.5882)	Prec@1 38.281 (37.602)	Prec@5 69.922 (67.474)
Epoch: [69][1070/7045]	Time 0.114 (0.262)	Data 0.056 (0.201)	Loss 2.7215 (2.5881)	Prec@1 35.938 (37.609)	Prec@5 61.719 (67.469)
Epoch: [69][1080/7045]	Time 0.617 (0.262)	Data 0.566 (0.201)	Loss 2.5169 (2.5881)	Prec@1 37.500 (37.596)	Prec@5 70.312 (67.468)
Epoch: [69][1090/7045]	Time 0.104 (0.262)	Data 0.007 (0.200)	Loss 2.6130 (2.5883)	Prec@1 33.984 (37.585)	Prec@5 68.750 (67.466)
Epoch: [69][1100/7045]	Time 0.387 (0.262)	Data 0.330 (0.200)	Loss 2.5430 (2.5887)	Prec@1 37.500 (37.579)	Prec@5 69.141 (67.462)
Epoch: [69][1110/7045]	Time 0.102 (0.261)	Data 0.051 (0.200)	Loss 2.5777 (2.5885)	Prec@1 38.281 (37.593)	Prec@5 66.406 (67.466)
Epoch: [69][1120/7045]	Time 0.180 (0.262)	Data 0.130 (0.200)	Loss 2.4466 (2.5889)	Prec@1 40.234 (37.589)	Prec@5 72.266 (67.466)
Epoch: [69][1130/7045]	Time 0.158 (0.261)	Data 0.106 (0.200)	Loss 2.5931 (2.5893)	Prec@1 39.453 (37.580)	Prec@5 67.188 (67.460)
Epoch: [69][1140/7045]	Time 0.102 (0.261)	Data 0.001 (0.200)	Loss 2.3984 (2.5900)	Prec@1 41.016 (37.569)	Prec@5 73.047 (67.447)
Epoch: [69][1150/7045]	Time 0.101 (0.261)	Data 0.045 (0.199)	Loss 2.5664 (2.5899)	Prec@1 40.625 (37.572)	Prec@5 69.531 (67.456)
Epoch: [69][1160/7045]	Time 0.117 (0.261)	Data 0.065 (0.200)	Loss 2.6052 (2.5902)	Prec@1 37.500 (37.567)	Prec@5 67.969 (67.456)
Epoch: [69][1170/7045]	Time 0.226 (0.261)	Data 0.175 (0.199)	Loss 2.8100 (2.5906)	Prec@1 32.812 (37.554)	Prec@5 61.328 (67.438)
Epoch: [69][1180/7045]	Time 0.100 (0.262)	Data 0.009 (0.200)	Loss 2.4971 (2.5897)	Prec@1 39.453 (37.566)	Prec@5 69.141 (67.454)
Epoch: [69][1190/7045]	Time 0.285 (0.261)	Data 0.234 (0.199)	Loss 2.5381 (2.5904)	Prec@1 37.109 (37.549)	Prec@5 67.188 (67.442)
Epoch: [69][1200/7045]	Time 0.101 (0.261)	Data 0.001 (0.199)	Loss 2.5391 (2.5902)	Prec@1 36.719 (37.552)	Prec@5 68.359 (67.440)
Epoch: [69][1210/7045]	Time 0.101 (0.261)	Data 0.001 (0.199)	Loss 2.5479 (2.5900)	Prec@1 37.891 (37.548)	Prec@5 69.922 (67.434)
Epoch: [69][1220/7045]	Time 0.101 (0.261)	Data 0.001 (0.199)	Loss 2.3617 (2.5898)	Prec@1 38.672 (37.558)	Prec@5 75.781 (67.442)
Epoch: [69][1230/7045]	Time 0.281 (0.261)	Data 0.230 (0.199)	Loss 2.6215 (2.5899)	Prec@1 41.406 (37.560)	Prec@5 63.672 (67.434)
Epoch: [69][1240/7045]	Time 0.332 (0.262)	Data 0.279 (0.200)	Loss 2.5220 (2.5897)	Prec@1 37.500 (37.563)	Prec@5 71.875 (67.432)
Epoch: [69][1250/7045]	Time 0.175 (0.262)	Data 0.125 (0.200)	Loss 2.5867 (2.5900)	Prec@1 36.719 (37.562)	Prec@5 67.969 (67.426)
Epoch: [69][1260/7045]	Time 0.371 (0.262)	Data 0.320 (0.200)	Loss 2.6271 (2.5903)	Prec@1 37.109 (37.554)	Prec@5 65.625 (67.422)
Epoch: [69][1270/7045]	Time 0.102 (0.262)	Data 0.001 (0.199)	Loss 2.6934 (2.5903)	Prec@1 36.328 (37.544)	Prec@5 63.281 (67.419)
Epoch: [69][1280/7045]	Time 0.101 (0.261)	Data 0.050 (0.199)	Loss 2.5624 (2.5909)	Prec@1 37.109 (37.533)	Prec@5 66.406 (67.399)
Epoch: [69][1290/7045]	Time 0.101 (0.262)	Data 0.006 (0.199)	Loss 2.5253 (2.5910)	Prec@1 39.062 (37.527)	Prec@5 69.922 (67.398)
Epoch: [69][1300/7045]	Time 0.454 (0.262)	Data 0.402 (0.199)	Loss 2.7721 (2.5907)	Prec@1 35.156 (37.536)	Prec@5 62.891 (67.401)
Epoch: [69][1310/7045]	Time 0.107 (0.262)	Data 0.054 (0.199)	Loss 2.5605 (2.5906)	Prec@1 40.625 (37.536)	Prec@5 71.484 (67.406)
Epoch: [69][1320/7045]	Time 0.612 (0.262)	Data 0.555 (0.199)	Loss 2.5982 (2.5908)	Prec@1 35.156 (37.529)	Prec@5 66.406 (67.400)
Epoch: [69][1330/7045]	Time 0.102 (0.262)	Data 0.001 (0.199)	Loss 2.3663 (2.5909)	Prec@1 41.406 (37.526)	Prec@5 70.312 (67.394)
Epoch: [69][1340/7045]	Time 0.543 (0.262)	Data 0.491 (0.199)	Loss 2.6361 (2.5909)	Prec@1 39.062 (37.522)	Prec@5 68.750 (67.400)
Epoch: [69][1350/7045]	Time 0.108 (0.261)	Data 0.001 (0.199)	Loss 2.7009 (2.5912)	Prec@1 38.672 (37.531)	Prec@5 62.891 (67.391)
Epoch: [69][1360/7045]	Time 0.569 (0.261)	Data 0.517 (0.199)	Loss 2.4875 (2.5911)	Prec@1 40.625 (37.533)	Prec@5 69.922 (67.394)
Epoch: [69][1370/7045]	Time 0.102 (0.261)	Data 0.001 (0.199)	Loss 2.6367 (2.5910)	Prec@1 34.766 (37.530)	Prec@5 66.406 (67.396)
Epoch: [69][1380/7045]	Time 0.741 (0.261)	Data 0.691 (0.198)	Loss 2.6234 (2.5904)	Prec@1 39.844 (37.540)	Prec@5 67.969 (67.416)
Epoch: [69][1390/7045]	Time 0.103 (0.261)	Data 0.001 (0.198)	Loss 2.5643 (2.5907)	Prec@1 41.406 (37.549)	Prec@5 67.188 (67.408)
Epoch: [69][1400/7045]	Time 0.601 (0.261)	Data 0.550 (0.198)	Loss 2.7052 (2.5907)	Prec@1 31.250 (37.538)	Prec@5 63.672 (67.411)
Epoch: [69][1410/7045]	Time 0.105 (0.262)	Data 0.053 (0.199)	Loss 2.8582 (2.5906)	Prec@1 36.719 (37.542)	Prec@5 61.328 (67.417)
Epoch: [69][1420/7045]	Time 0.420 (0.262)	Data 0.369 (0.199)	Loss 2.6458 (2.5907)	Prec@1 37.109 (37.539)	Prec@5 63.672 (67.417)
Epoch: [69][1430/7045]	Time 0.110 (0.262)	Data 0.059 (0.199)	Loss 2.4061 (2.5902)	Prec@1 39.844 (37.551)	Prec@5 69.922 (67.422)
Epoch: [69][1440/7045]	Time 0.500 (0.262)	Data 0.449 (0.199)	Loss 2.5571 (2.5901)	Prec@1 41.797 (37.551)	Prec@5 64.844 (67.421)
Epoch: [69][1450/7045]	Time 0.121 (0.262)	Data 0.070 (0.199)	Loss 2.5062 (2.5902)	Prec@1 41.016 (37.543)	Prec@5 68.359 (67.418)
Epoch: [69][1460/7045]	Time 0.340 (0.261)	Data 0.289 (0.199)	Loss 2.7881 (2.5904)	Prec@1 34.766 (37.536)	Prec@5 65.625 (67.416)
Epoch: [69][1470/7045]	Time 0.395 (0.261)	Data 0.343 (0.199)	Loss 2.5612 (2.5903)	Prec@1 38.281 (37.539)	Prec@5 65.625 (67.415)
Epoch: [69][1480/7045]	Time 0.310 (0.261)	Data 0.251 (0.199)	Loss 2.5205 (2.5901)	Prec@1 36.719 (37.543)	Prec@5 67.188 (67.414)
Epoch: [69][1490/7045]	Time 0.168 (0.261)	Data 0.117 (0.199)	Loss 2.5911 (2.5900)	Prec@1 40.625 (37.555)	Prec@5 65.625 (67.411)
Epoch: [69][1500/7045]	Time 0.200 (0.261)	Data 0.147 (0.199)	Loss 2.5269 (2.5896)	Prec@1 37.891 (37.565)	Prec@5 68.359 (67.420)
Epoch: [69][1510/7045]	Time 0.167 (0.261)	Data 0.117 (0.199)	Loss 2.7600 (2.5898)	Prec@1 37.109 (37.568)	Prec@5 63.281 (67.416)
Epoch: [69][1520/7045]	Time 0.347 (0.261)	Data 0.290 (0.199)	Loss 2.4407 (2.5895)	Prec@1 43.359 (37.575)	Prec@5 67.188 (67.422)
Epoch: [69][1530/7045]	Time 0.245 (0.261)	Data 0.193 (0.198)	Loss 2.5488 (2.5895)	Prec@1 34.375 (37.571)	Prec@5 70.703 (67.420)
Epoch: [69][1540/7045]	Time 0.433 (0.261)	Data 0.376 (0.198)	Loss 2.4422 (2.5895)	Prec@1 39.062 (37.580)	Prec@5 71.484 (67.423)
Epoch: [69][1550/7045]	Time 0.223 (0.261)	Data 0.172 (0.198)	Loss 2.4423 (2.5889)	Prec@1 41.016 (37.588)	Prec@5 69.922 (67.433)
Epoch: [69][1560/7045]	Time 0.303 (0.261)	Data 0.252 (0.198)	Loss 2.5676 (2.5888)	Prec@1 38.281 (37.588)	Prec@5 68.750 (67.434)
Epoch: [69][1570/7045]	Time 0.163 (0.260)	Data 0.112 (0.198)	Loss 2.7906 (2.5890)	Prec@1 31.250 (37.586)	Prec@5 64.844 (67.428)
Epoch: [69][1580/7045]	Time 0.364 (0.260)	Data 0.314 (0.198)	Loss 2.4736 (2.5892)	Prec@1 37.109 (37.585)	Prec@5 68.750 (67.427)
Epoch: [69][1590/7045]	Time 0.108 (0.261)	Data 0.002 (0.199)	Loss 2.5965 (2.5892)	Prec@1 39.062 (37.581)	Prec@5 66.016 (67.430)
Epoch: [69][1600/7045]	Time 0.409 (0.261)	Data 0.357 (0.199)	Loss 2.7068 (2.5890)	Prec@1 39.062 (37.586)	Prec@5 66.797 (67.433)
Epoch: [69][1610/7045]	Time 0.106 (0.261)	Data 0.054 (0.198)	Loss 2.6068 (2.5891)	Prec@1 36.719 (37.583)	Prec@5 66.016 (67.425)
Epoch: [69][1620/7045]	Time 0.423 (0.260)	Data 0.371 (0.198)	Loss 2.5946 (2.5893)	Prec@1 37.891 (37.578)	Prec@5 64.453 (67.417)
Epoch: [69][1630/7045]	Time 0.102 (0.260)	Data 0.005 (0.198)	Loss 2.5229 (2.5894)	Prec@1 41.016 (37.578)	Prec@5 71.875 (67.410)
Epoch: [69][1640/7045]	Time 0.369 (0.260)	Data 0.319 (0.198)	Loss 2.6281 (2.5891)	Prec@1 38.281 (37.582)	Prec@5 66.406 (67.412)
Epoch: [69][1650/7045]	Time 0.101 (0.260)	Data 0.008 (0.198)	Loss 2.5320 (2.5887)	Prec@1 36.328 (37.591)	Prec@5 67.969 (67.416)
Epoch: [69][1660/7045]	Time 0.490 (0.260)	Data 0.438 (0.198)	Loss 2.6144 (2.5890)	Prec@1 39.062 (37.592)	Prec@5 68.359 (67.417)
Epoch: [69][1670/7045]	Time 0.102 (0.260)	Data 0.002 (0.198)	Loss 2.4698 (2.5889)	Prec@1 39.453 (37.600)	Prec@5 71.094 (67.418)
Epoch: [69][1680/7045]	Time 0.321 (0.260)	Data 0.270 (0.198)	Loss 2.7007 (2.5893)	Prec@1 34.766 (37.599)	Prec@5 69.531 (67.412)
Epoch: [69][1690/7045]	Time 0.103 (0.260)	Data 0.051 (0.197)	Loss 2.6283 (2.5894)	Prec@1 37.891 (37.605)	Prec@5 69.141 (67.417)
Epoch: [69][1700/7045]	Time 0.222 (0.260)	Data 0.166 (0.197)	Loss 2.4046 (2.5893)	Prec@1 42.188 (37.598)	Prec@5 72.656 (67.420)
Epoch: [69][1710/7045]	Time 0.263 (0.261)	Data 0.212 (0.198)	Loss 2.5405 (2.5895)	Prec@1 39.062 (37.598)	Prec@5 68.750 (67.420)
Epoch: [69][1720/7045]	Time 0.127 (0.260)	Data 0.076 (0.198)	Loss 2.5082 (2.5895)	Prec@1 38.281 (37.591)	Prec@5 71.094 (67.425)
Epoch: [69][1730/7045]	Time 0.282 (0.260)	Data 0.232 (0.198)	Loss 2.5552 (2.5890)	Prec@1 41.406 (37.602)	Prec@5 67.578 (67.430)
Epoch: [69][1740/7045]	Time 0.111 (0.260)	Data 0.054 (0.198)	Loss 2.5878 (2.5891)	Prec@1 36.328 (37.599)	Prec@5 66.016 (67.425)
Epoch: [69][1750/7045]	Time 0.315 (0.260)	Data 0.264 (0.198)	Loss 2.5375 (2.5890)	Prec@1 39.844 (37.600)	Prec@5 67.578 (67.428)
Epoch: [69][1760/7045]	Time 0.108 (0.260)	Data 0.056 (0.198)	Loss 2.6721 (2.5892)	Prec@1 34.766 (37.600)	Prec@5 62.891 (67.421)
Epoch: [69][1770/7045]	Time 0.287 (0.260)	Data 0.236 (0.198)	Loss 2.7830 (2.5892)	Prec@1 35.938 (37.597)	Prec@5 65.625 (67.416)
Epoch: [69][1780/7045]	Time 0.108 (0.261)	Data 0.001 (0.198)	Loss 2.5129 (2.5890)	Prec@1 37.891 (37.602)	Prec@5 70.703 (67.421)
Epoch: [69][1790/7045]	Time 0.338 (0.261)	Data 0.286 (0.198)	Loss 2.6757 (2.5891)	Prec@1 35.938 (37.606)	Prec@5 66.406 (67.420)
Epoch: [69][1800/7045]	Time 0.135 (0.260)	Data 0.082 (0.198)	Loss 2.4568 (2.5892)	Prec@1 36.719 (37.607)	Prec@5 70.703 (67.419)
Epoch: [69][1810/7045]	Time 0.214 (0.260)	Data 0.162 (0.198)	Loss 2.7414 (2.5892)	Prec@1 34.766 (37.607)	Prec@5 62.891 (67.417)
Epoch: [69][1820/7045]	Time 0.172 (0.260)	Data 0.122 (0.198)	Loss 2.4283 (2.5896)	Prec@1 40.234 (37.603)	Prec@5 68.359 (67.409)
Epoch: [69][1830/7045]	Time 0.102 (0.260)	Data 0.005 (0.198)	Loss 2.7420 (2.5898)	Prec@1 30.859 (37.602)	Prec@5 64.453 (67.407)
Epoch: [69][1840/7045]	Time 0.208 (0.260)	Data 0.157 (0.198)	Loss 2.7328 (2.5900)	Prec@1 37.109 (37.595)	Prec@5 67.578 (67.408)
Epoch: [69][1850/7045]	Time 0.108 (0.260)	Data 0.055 (0.198)	Loss 2.7401 (2.5902)	Prec@1 32.812 (37.586)	Prec@5 62.500 (67.401)
Epoch: [69][1860/7045]	Time 0.107 (0.260)	Data 0.001 (0.198)	Loss 2.6573 (2.5900)	Prec@1 35.938 (37.587)	Prec@5 64.844 (67.405)
Epoch: [69][1870/7045]	Time 0.111 (0.260)	Data 0.059 (0.198)	Loss 2.4937 (2.5901)	Prec@1 36.328 (37.581)	Prec@5 70.312 (67.404)
Epoch: [69][1880/7045]	Time 0.376 (0.260)	Data 0.325 (0.198)	Loss 2.3353 (2.5900)	Prec@1 42.578 (37.587)	Prec@5 69.922 (67.407)
Epoch: [69][1890/7045]	Time 0.102 (0.260)	Data 0.047 (0.198)	Loss 2.5505 (2.5897)	Prec@1 35.938 (37.592)	Prec@5 70.703 (67.410)
Epoch: [69][1900/7045]	Time 0.359 (0.260)	Data 0.308 (0.198)	Loss 2.3539 (2.5896)	Prec@1 45.312 (37.604)	Prec@5 72.656 (67.408)
Epoch: [69][1910/7045]	Time 0.109 (0.260)	Data 0.056 (0.198)	Loss 2.4375 (2.5897)	Prec@1 38.672 (37.603)	Prec@5 73.047 (67.408)
Epoch: [69][1920/7045]	Time 0.358 (0.260)	Data 0.307 (0.198)	Loss 2.4660 (2.5894)	Prec@1 41.016 (37.608)	Prec@5 72.656 (67.413)
Epoch: [69][1930/7045]	Time 0.235 (0.260)	Data 0.183 (0.198)	Loss 2.6331 (2.5896)	Prec@1 38.672 (37.608)	Prec@5 67.188 (67.410)
Epoch: [69][1940/7045]	Time 0.509 (0.260)	Data 0.457 (0.198)	Loss 2.5448 (2.5893)	Prec@1 41.406 (37.615)	Prec@5 65.625 (67.415)
Epoch: [69][1950/7045]	Time 0.306 (0.260)	Data 0.248 (0.198)	Loss 2.8462 (2.5894)	Prec@1 33.594 (37.617)	Prec@5 62.500 (67.413)
Epoch: [69][1960/7045]	Time 0.173 (0.261)	Data 0.123 (0.198)	Loss 2.7367 (2.5894)	Prec@1 35.156 (37.621)	Prec@5 61.328 (67.409)
Epoch: [69][1970/7045]	Time 0.170 (0.261)	Data 0.119 (0.198)	Loss 2.6646 (2.5895)	Prec@1 36.328 (37.617)	Prec@5 67.578 (67.408)
Epoch: [69][1980/7045]	Time 0.103 (0.261)	Data 0.051 (0.198)	Loss 2.6072 (2.5892)	Prec@1 37.891 (37.618)	Prec@5 65.234 (67.409)
Epoch: [69][1990/7045]	Time 0.102 (0.261)	Data 0.049 (0.198)	Loss 2.6891 (2.5895)	Prec@1 37.500 (37.613)	Prec@5 64.844 (67.402)
Epoch: [69][2000/7045]	Time 0.101 (0.261)	Data 0.004 (0.198)	Loss 2.5148 (2.5894)	Prec@1 34.766 (37.617)	Prec@5 68.359 (67.403)
Epoch: [69][2010/7045]	Time 0.102 (0.261)	Data 0.001 (0.198)	Loss 2.5637 (2.5894)	Prec@1 38.281 (37.617)	Prec@5 67.578 (67.402)
Epoch: [69][2020/7045]	Time 0.102 (0.261)	Data 0.004 (0.198)	Loss 2.7101 (2.5891)	Prec@1 33.984 (37.620)	Prec@5 64.844 (67.405)
Epoch: [69][2030/7045]	Time 0.101 (0.261)	Data 0.001 (0.198)	Loss 2.4897 (2.5888)	Prec@1 37.500 (37.622)	Prec@5 69.141 (67.414)
Epoch: [69][2040/7045]	Time 0.108 (0.261)	Data 0.005 (0.198)	Loss 2.4798 (2.5887)	Prec@1 41.406 (37.628)	Prec@5 66.797 (67.415)
Epoch: [69][2050/7045]	Time 0.237 (0.261)	Data 0.186 (0.198)	Loss 2.5378 (2.5888)	Prec@1 37.891 (37.624)	Prec@5 71.484 (67.416)
Epoch: [69][2060/7045]	Time 0.171 (0.261)	Data 0.121 (0.198)	Loss 2.7659 (2.5888)	Prec@1 29.297 (37.619)	Prec@5 61.328 (67.414)
Epoch: [69][2070/7045]	Time 0.158 (0.261)	Data 0.107 (0.198)	Loss 2.3681 (2.5885)	Prec@1 42.578 (37.626)	Prec@5 70.312 (67.424)
Epoch: [69][2080/7045]	Time 0.477 (0.261)	Data 0.427 (0.198)	Loss 2.4744 (2.5885)	Prec@1 41.797 (37.632)	Prec@5 72.266 (67.420)
Epoch: [69][2090/7045]	Time 0.103 (0.261)	Data 0.001 (0.198)	Loss 2.5694 (2.5886)	Prec@1 35.938 (37.628)	Prec@5 66.406 (67.417)
Epoch: [69][2100/7045]	Time 1.369 (0.261)	Data 1.311 (0.199)	Loss 2.5069 (2.5885)	Prec@1 42.578 (37.634)	Prec@5 67.188 (67.417)
Epoch: [69][2110/7045]	Time 0.238 (0.261)	Data 0.187 (0.199)	Loss 2.7859 (2.5887)	Prec@1 39.453 (37.631)	Prec@5 62.109 (67.413)
Epoch: [69][2120/7045]	Time 0.225 (0.261)	Data 0.173 (0.199)	Loss 2.5077 (2.5884)	Prec@1 43.750 (37.632)	Prec@5 69.922 (67.423)
Epoch: [69][2130/7045]	Time 0.517 (0.261)	Data 0.467 (0.199)	Loss 2.6336 (2.5882)	Prec@1 35.156 (37.627)	Prec@5 65.234 (67.424)
Epoch: [69][2140/7045]	Time 0.108 (0.261)	Data 0.001 (0.199)	Loss 2.4383 (2.5879)	Prec@1 41.797 (37.626)	Prec@5 71.094 (67.426)
Epoch: [69][2150/7045]	Time 0.382 (0.261)	Data 0.325 (0.199)	Loss 2.4821 (2.5879)	Prec@1 35.156 (37.624)	Prec@5 70.312 (67.422)
Epoch: [69][2160/7045]	Time 0.283 (0.261)	Data 0.231 (0.199)	Loss 2.7279 (2.5875)	Prec@1 33.594 (37.629)	Prec@5 64.844 (67.432)
Epoch: [69][2170/7045]	Time 0.107 (0.261)	Data 0.054 (0.199)	Loss 2.3952 (2.5873)	Prec@1 39.844 (37.631)	Prec@5 69.922 (67.434)
Epoch: [69][2180/7045]	Time 0.133 (0.261)	Data 0.082 (0.198)	Loss 2.4409 (2.5875)	Prec@1 39.453 (37.627)	Prec@5 70.312 (67.434)
Epoch: [69][2190/7045]	Time 0.165 (0.261)	Data 0.114 (0.198)	Loss 2.8482 (2.5875)	Prec@1 33.984 (37.629)	Prec@5 62.109 (67.431)
Epoch: [69][2200/7045]	Time 0.183 (0.261)	Data 0.132 (0.198)	Loss 2.5629 (2.5876)	Prec@1 41.406 (37.627)	Prec@5 63.672 (67.429)
Epoch: [69][2210/7045]	Time 0.405 (0.261)	Data 0.355 (0.198)	Loss 2.5649 (2.5874)	Prec@1 39.844 (37.637)	Prec@5 68.359 (67.431)
Epoch: [69][2220/7045]	Time 0.528 (0.261)	Data 0.476 (0.199)	Loss 2.5672 (2.5873)	Prec@1 35.938 (37.638)	Prec@5 68.359 (67.433)
Epoch: [69][2230/7045]	Time 0.110 (0.261)	Data 0.001 (0.198)	Loss 2.3305 (2.5873)	Prec@1 42.969 (37.638)	Prec@5 69.531 (67.429)
Epoch: [69][2240/7045]	Time 0.591 (0.261)	Data 0.540 (0.198)	Loss 2.5941 (2.5874)	Prec@1 37.109 (37.635)	Prec@5 67.188 (67.425)
Epoch: [69][2250/7045]	Time 0.106 (0.261)	Data 0.055 (0.198)	Loss 2.7788 (2.5875)	Prec@1 36.719 (37.639)	Prec@5 63.281 (67.425)
Epoch: [69][2260/7045]	Time 0.434 (0.261)	Data 0.383 (0.198)	Loss 2.4248 (2.5874)	Prec@1 39.062 (37.641)	Prec@5 72.656 (67.424)
Epoch: [69][2270/7045]	Time 0.395 (0.261)	Data 0.344 (0.198)	Loss 2.5364 (2.5875)	Prec@1 37.891 (37.641)	Prec@5 66.016 (67.423)
Epoch: [69][2280/7045]	Time 0.499 (0.261)	Data 0.448 (0.198)	Loss 2.5636 (2.5875)	Prec@1 39.844 (37.643)	Prec@5 66.406 (67.423)
Epoch: [69][2290/7045]	Time 0.271 (0.260)	Data 0.215 (0.198)	Loss 2.6625 (2.5876)	Prec@1 35.156 (37.638)	Prec@5 66.406 (67.426)
Epoch: [69][2300/7045]	Time 0.435 (0.260)	Data 0.384 (0.198)	Loss 2.6592 (2.5878)	Prec@1 39.453 (37.637)	Prec@5 66.016 (67.421)
Epoch: [69][2310/7045]	Time 0.267 (0.260)	Data 0.217 (0.198)	Loss 2.4842 (2.5875)	Prec@1 42.578 (37.642)	Prec@5 72.656 (67.428)
Epoch: [69][2320/7045]	Time 0.274 (0.261)	Data 0.218 (0.199)	Loss 2.4977 (2.5876)	Prec@1 39.062 (37.640)	Prec@5 69.531 (67.428)
Epoch: [69][2330/7045]	Time 0.509 (0.261)	Data 0.458 (0.199)	Loss 2.5748 (2.5878)	Prec@1 39.453 (37.635)	Prec@5 66.016 (67.424)
Epoch: [69][2340/7045]	Time 0.102 (0.261)	Data 0.001 (0.199)	Loss 2.7154 (2.5880)	Prec@1 32.422 (37.630)	Prec@5 66.406 (67.416)
Epoch: [69][2350/7045]	Time 0.614 (0.261)	Data 0.562 (0.199)	Loss 2.4895 (2.5882)	Prec@1 38.281 (37.626)	Prec@5 68.359 (67.411)
Epoch: [69][2360/7045]	Time 0.101 (0.261)	Data 0.044 (0.199)	Loss 2.6217 (2.5882)	Prec@1 38.672 (37.626)	Prec@5 64.062 (67.412)
Epoch: [69][2370/7045]	Time 0.629 (0.261)	Data 0.578 (0.199)	Loss 2.4600 (2.5882)	Prec@1 40.234 (37.630)	Prec@5 70.312 (67.410)
Epoch: [69][2380/7045]	Time 0.102 (0.261)	Data 0.001 (0.198)	Loss 2.3818 (2.5883)	Prec@1 40.234 (37.624)	Prec@5 71.484 (67.407)
Epoch: [69][2390/7045]	Time 0.465 (0.261)	Data 0.414 (0.199)	Loss 2.5654 (2.5883)	Prec@1 38.672 (37.622)	Prec@5 67.969 (67.411)
Epoch: [69][2400/7045]	Time 0.112 (0.261)	Data 0.061 (0.199)	Loss 2.6690 (2.5884)	Prec@1 37.891 (37.618)	Prec@5 65.625 (67.412)
Epoch: [69][2410/7045]	Time 0.365 (0.261)	Data 0.313 (0.199)	Loss 2.5315 (2.5888)	Prec@1 36.719 (37.614)	Prec@5 69.922 (67.408)
Epoch: [69][2420/7045]	Time 0.130 (0.261)	Data 0.078 (0.199)	Loss 2.4282 (2.5886)	Prec@1 40.234 (37.613)	Prec@5 72.266 (67.410)
Epoch: [69][2430/7045]	Time 0.307 (0.261)	Data 0.255 (0.199)	Loss 2.7472 (2.5884)	Prec@1 35.156 (37.615)	Prec@5 64.453 (67.416)
Epoch: [69][2440/7045]	Time 0.354 (0.261)	Data 0.303 (0.199)	Loss 2.6167 (2.5886)	Prec@1 35.547 (37.612)	Prec@5 70.312 (67.409)
Epoch: [69][2450/7045]	Time 0.108 (0.261)	Data 0.004 (0.199)	Loss 2.3116 (2.5885)	Prec@1 46.875 (37.617)	Prec@5 71.484 (67.408)
Epoch: [69][2460/7045]	Time 0.363 (0.261)	Data 0.312 (0.199)	Loss 2.7878 (2.5883)	Prec@1 33.203 (37.617)	Prec@5 64.844 (67.417)
Epoch: [69][2470/7045]	Time 0.103 (0.261)	Data 0.051 (0.198)	Loss 2.5079 (2.5885)	Prec@1 36.328 (37.614)	Prec@5 67.969 (67.411)
Epoch: [69][2480/7045]	Time 0.496 (0.261)	Data 0.446 (0.198)	Loss 2.3957 (2.5886)	Prec@1 41.797 (37.611)	Prec@5 74.609 (67.410)
Epoch: [69][2490/7045]	Time 0.102 (0.261)	Data 0.004 (0.198)	Loss 2.4867 (2.5886)	Prec@1 39.844 (37.610)	Prec@5 68.750 (67.410)
Epoch: [69][2500/7045]	Time 0.525 (0.261)	Data 0.474 (0.198)	Loss 2.5521 (2.5887)	Prec@1 38.672 (37.611)	Prec@5 67.578 (67.410)
Epoch: [69][2510/7045]	Time 0.102 (0.261)	Data 0.005 (0.199)	Loss 2.5284 (2.5886)	Prec@1 41.406 (37.608)	Prec@5 68.750 (67.412)
Epoch: [69][2520/7045]	Time 0.523 (0.261)	Data 0.472 (0.199)	Loss 2.5260 (2.5887)	Prec@1 41.797 (37.612)	Prec@5 68.359 (67.407)
Epoch: [69][2530/7045]	Time 0.210 (0.261)	Data 0.158 (0.199)	Loss 2.6049 (2.5887)	Prec@1 41.406 (37.611)	Prec@5 65.234 (67.406)
Epoch: [69][2540/7045]	Time 0.311 (0.261)	Data 0.260 (0.199)	Loss 2.6265 (2.5889)	Prec@1 37.109 (37.609)	Prec@5 67.578 (67.400)
Epoch: [69][2550/7045]	Time 0.159 (0.261)	Data 0.109 (0.199)	Loss 2.6626 (2.5889)	Prec@1 37.109 (37.610)	Prec@5 64.453 (67.399)
Epoch: [69][2560/7045]	Time 0.485 (0.261)	Data 0.435 (0.199)	Loss 2.5652 (2.5888)	Prec@1 39.062 (37.614)	Prec@5 67.188 (67.402)
Epoch: [69][2570/7045]	Time 0.334 (0.261)	Data 0.283 (0.199)	Loss 2.4907 (2.5887)	Prec@1 39.844 (37.613)	Prec@5 67.188 (67.401)
Epoch: [69][2580/7045]	Time 0.102 (0.262)	Data 0.001 (0.199)	Loss 2.6334 (2.5889)	Prec@1 37.109 (37.614)	Prec@5 64.844 (67.398)
Epoch: [69][2590/7045]	Time 0.232 (0.261)	Data 0.181 (0.199)	Loss 2.4313 (2.5886)	Prec@1 37.891 (37.618)	Prec@5 68.359 (67.401)
Epoch: [69][2600/7045]	Time 0.520 (0.262)	Data 0.469 (0.199)	Loss 2.7398 (2.5890)	Prec@1 32.031 (37.610)	Prec@5 64.844 (67.392)
Epoch: [69][2610/7045]	Time 0.178 (0.261)	Data 0.127 (0.199)	Loss 2.7254 (2.5892)	Prec@1 34.766 (37.607)	Prec@5 64.062 (67.388)
Epoch: [69][2620/7045]	Time 0.436 (0.261)	Data 0.384 (0.199)	Loss 2.4832 (2.5892)	Prec@1 40.625 (37.608)	Prec@5 66.797 (67.389)
Epoch: [69][2630/7045]	Time 0.296 (0.261)	Data 0.245 (0.199)	Loss 2.7296 (2.5894)	Prec@1 36.328 (37.602)	Prec@5 66.406 (67.384)
Epoch: [69][2640/7045]	Time 0.109 (0.261)	Data 0.005 (0.199)	Loss 2.6177 (2.5897)	Prec@1 36.328 (37.596)	Prec@5 65.234 (67.373)
Epoch: [69][2650/7045]	Time 0.108 (0.261)	Data 0.056 (0.199)	Loss 2.5937 (2.5898)	Prec@1 39.844 (37.593)	Prec@5 65.234 (67.368)
Epoch: [69][2660/7045]	Time 0.263 (0.262)	Data 0.212 (0.199)	Loss 2.7079 (2.5899)	Prec@1 37.500 (37.595)	Prec@5 63.281 (67.363)
Epoch: [69][2670/7045]	Time 0.251 (0.262)	Data 0.199 (0.199)	Loss 2.4253 (2.5901)	Prec@1 38.281 (37.594)	Prec@5 72.266 (67.362)
Epoch: [69][2680/7045]	Time 0.511 (0.262)	Data 0.460 (0.199)	Loss 2.7935 (2.5902)	Prec@1 34.766 (37.593)	Prec@5 62.500 (67.362)
Epoch: [69][2690/7045]	Time 0.197 (0.262)	Data 0.147 (0.199)	Loss 2.6711 (2.5902)	Prec@1 39.844 (37.588)	Prec@5 67.969 (67.365)
Epoch: [69][2700/7045]	Time 0.343 (0.262)	Data 0.291 (0.199)	Loss 2.5258 (2.5902)	Prec@1 34.766 (37.586)	Prec@5 71.094 (67.365)
Epoch: [69][2710/7045]	Time 0.186 (0.261)	Data 0.134 (0.199)	Loss 2.7300 (2.5902)	Prec@1 37.109 (37.586)	Prec@5 63.672 (67.363)
Epoch: [69][2720/7045]	Time 0.184 (0.261)	Data 0.133 (0.199)	Loss 2.5075 (2.5901)	Prec@1 39.062 (37.592)	Prec@5 69.141 (67.367)
Epoch: [69][2730/7045]	Time 0.102 (0.261)	Data 0.048 (0.199)	Loss 2.4918 (2.5899)	Prec@1 40.234 (37.595)	Prec@5 73.438 (67.372)
Epoch: [69][2740/7045]	Time 0.103 (0.261)	Data 0.051 (0.199)	Loss 2.4948 (2.5897)	Prec@1 39.062 (37.599)	Prec@5 70.312 (67.377)
Epoch: [69][2750/7045]	Time 0.101 (0.261)	Data 0.006 (0.199)	Loss 2.4997 (2.5898)	Prec@1 39.062 (37.594)	Prec@5 71.094 (67.377)
Epoch: [69][2760/7045]	Time 0.102 (0.261)	Data 0.003 (0.199)	Loss 2.6417 (2.5898)	Prec@1 37.500 (37.594)	Prec@5 64.844 (67.376)
Epoch: [69][2770/7045]	Time 0.101 (0.261)	Data 0.002 (0.199)	Loss 2.5378 (2.5896)	Prec@1 37.891 (37.599)	Prec@5 66.797 (67.377)
Epoch: [69][2780/7045]	Time 0.171 (0.261)	Data 0.121 (0.199)	Loss 2.4602 (2.5898)	Prec@1 36.328 (37.590)	Prec@5 65.234 (67.377)
Epoch: [69][2790/7045]	Time 0.114 (0.261)	Data 0.062 (0.199)	Loss 2.4701 (2.5898)	Prec@1 39.844 (37.592)	Prec@5 70.312 (67.375)
Epoch: [69][2800/7045]	Time 0.101 (0.261)	Data 0.001 (0.199)	Loss 2.5724 (2.5899)	Prec@1 41.016 (37.588)	Prec@5 65.234 (67.373)
Epoch: [69][2810/7045]	Time 0.101 (0.261)	Data 0.004 (0.199)	Loss 2.7791 (2.5900)	Prec@1 30.859 (37.590)	Prec@5 63.672 (67.371)
Epoch: [69][2820/7045]	Time 0.102 (0.261)	Data 0.050 (0.199)	Loss 2.5221 (2.5900)	Prec@1 41.016 (37.591)	Prec@5 68.750 (67.372)
Epoch: [69][2830/7045]	Time 0.102 (0.262)	Data 0.001 (0.199)	Loss 2.5653 (2.5901)	Prec@1 35.938 (37.585)	Prec@5 67.188 (67.371)
Epoch: [69][2840/7045]	Time 0.109 (0.262)	Data 0.057 (0.199)	Loss 2.4952 (2.5902)	Prec@1 39.062 (37.582)	Prec@5 70.312 (67.370)
Epoch: [69][2850/7045]	Time 0.179 (0.262)	Data 0.127 (0.199)	Loss 2.5038 (2.5901)	Prec@1 39.453 (37.584)	Prec@5 68.359 (67.372)
Epoch: [69][2860/7045]	Time 0.219 (0.262)	Data 0.162 (0.199)	Loss 2.3448 (2.5900)	Prec@1 40.234 (37.585)	Prec@5 68.750 (67.373)
Epoch: [69][2870/7045]	Time 0.168 (0.262)	Data 0.117 (0.199)	Loss 2.7090 (2.5900)	Prec@1 35.547 (37.584)	Prec@5 63.672 (67.372)
Epoch: [69][2880/7045]	Time 0.304 (0.262)	Data 0.254 (0.199)	Loss 2.5597 (2.5899)	Prec@1 37.500 (37.585)	Prec@5 67.578 (67.374)
Epoch: [69][2890/7045]	Time 0.103 (0.262)	Data 0.001 (0.199)	Loss 2.6929 (2.5900)	Prec@1 35.547 (37.586)	Prec@5 69.141 (67.377)
Epoch: [69][2900/7045]	Time 0.122 (0.262)	Data 0.071 (0.200)	Loss 2.5793 (2.5900)	Prec@1 37.500 (37.587)	Prec@5 69.141 (67.374)
Epoch: [69][2910/7045]	Time 0.100 (0.262)	Data 0.001 (0.200)	Loss 2.5579 (2.5901)	Prec@1 37.500 (37.586)	Prec@5 69.141 (67.375)
Epoch: [69][2920/7045]	Time 0.290 (0.262)	Data 0.239 (0.200)	Loss 2.6436 (2.5900)	Prec@1 36.719 (37.587)	Prec@5 67.578 (67.375)
Epoch: [69][2930/7045]	Time 0.102 (0.262)	Data 0.004 (0.199)	Loss 2.6261 (2.5901)	Prec@1 36.719 (37.584)	Prec@5 69.922 (67.376)
Epoch: [69][2940/7045]	Time 0.385 (0.262)	Data 0.334 (0.199)	Loss 2.6380 (2.5902)	Prec@1 36.719 (37.582)	Prec@5 66.406 (67.379)
Epoch: [69][2950/7045]	Time 0.220 (0.262)	Data 0.170 (0.199)	Loss 2.6073 (2.5903)	Prec@1 35.156 (37.580)	Prec@5 68.359 (67.379)
Epoch: [69][2960/7045]	Time 0.406 (0.262)	Data 0.355 (0.199)	Loss 2.8407 (2.5903)	Prec@1 31.641 (37.577)	Prec@5 62.891 (67.377)
Epoch: [69][2970/7045]	Time 0.262 (0.262)	Data 0.204 (0.199)	Loss 2.8230 (2.5905)	Prec@1 31.641 (37.577)	Prec@5 64.062 (67.374)
Epoch: [69][2980/7045]	Time 0.337 (0.261)	Data 0.284 (0.199)	Loss 2.5447 (2.5908)	Prec@1 44.141 (37.578)	Prec@5 70.312 (67.372)
Epoch: [69][2990/7045]	Time 0.359 (0.261)	Data 0.301 (0.199)	Loss 2.6230 (2.5908)	Prec@1 33.984 (37.575)	Prec@5 64.453 (67.373)
Epoch: [69][3000/7045]	Time 0.402 (0.261)	Data 0.350 (0.199)	Loss 2.7132 (2.5910)	Prec@1 36.328 (37.573)	Prec@5 60.547 (67.364)
Epoch: [69][3010/7045]	Time 0.357 (0.261)	Data 0.301 (0.199)	Loss 2.5081 (2.5912)	Prec@1 39.844 (37.573)	Prec@5 69.922 (67.360)
Epoch: [69][3020/7045]	Time 0.488 (0.261)	Data 0.430 (0.199)	Loss 2.4021 (2.5911)	Prec@1 37.500 (37.574)	Prec@5 69.531 (67.360)
Epoch: [69][3030/7045]	Time 0.212 (0.261)	Data 0.155 (0.199)	Loss 2.5072 (2.5909)	Prec@1 40.625 (37.580)	Prec@5 70.703 (67.365)
Epoch: [69][3040/7045]	Time 0.102 (0.261)	Data 0.001 (0.199)	Loss 2.6355 (2.5910)	Prec@1 36.328 (37.578)	Prec@5 66.016 (67.361)
Epoch: [69][3050/7045]	Time 0.290 (0.261)	Data 0.239 (0.199)	Loss 2.7059 (2.5909)	Prec@1 33.984 (37.579)	Prec@5 65.234 (67.363)
Epoch: [69][3060/7045]	Time 0.102 (0.261)	Data 0.048 (0.199)	Loss 2.6353 (2.5911)	Prec@1 34.766 (37.576)	Prec@5 67.969 (67.359)
Epoch: [69][3070/7045]	Time 0.259 (0.261)	Data 0.208 (0.199)	Loss 2.5075 (2.5912)	Prec@1 39.844 (37.571)	Prec@5 67.188 (67.358)
Epoch: [69][3080/7045]	Time 0.102 (0.261)	Data 0.014 (0.199)	Loss 2.6885 (2.5914)	Prec@1 36.719 (37.567)	Prec@5 64.453 (67.354)
Epoch: [69][3090/7045]	Time 0.102 (0.261)	Data 0.005 (0.199)	Loss 2.5470 (2.5914)	Prec@1 41.016 (37.569)	Prec@5 68.750 (67.353)
Epoch: [69][3100/7045]	Time 0.102 (0.261)	Data 0.001 (0.199)	Loss 2.5504 (2.5913)	Prec@1 40.234 (37.571)	Prec@5 67.969 (67.354)
Epoch: [69][3110/7045]	Time 0.101 (0.261)	Data 0.048 (0.199)	Loss 2.7019 (2.5912)	Prec@1 33.594 (37.577)	Prec@5 64.844 (67.355)
Epoch: [69][3120/7045]	Time 0.102 (0.261)	Data 0.001 (0.198)	Loss 2.5647 (2.5914)	Prec@1 39.062 (37.573)	Prec@5 68.750 (67.353)
Epoch: [69][3130/7045]	Time 0.101 (0.261)	Data 0.002 (0.198)	Loss 2.4590 (2.5912)	Prec@1 39.453 (37.572)	Prec@5 67.969 (67.354)
Epoch: [69][3140/7045]	Time 0.102 (0.261)	Data 0.004 (0.198)	Loss 2.7769 (2.5914)	Prec@1 35.938 (37.571)	Prec@5 60.156 (67.355)
Epoch: [69][3150/7045]	Time 0.102 (0.261)	Data 0.003 (0.198)	Loss 2.6581 (2.5912)	Prec@1 33.594 (37.574)	Prec@5 66.406 (67.353)
Epoch: [69][3160/7045]	Time 0.102 (0.260)	Data 0.005 (0.198)	Loss 2.5211 (2.5913)	Prec@1 40.234 (37.574)	Prec@5 71.094 (67.351)
Epoch: [69][3170/7045]	Time 0.220 (0.260)	Data 0.168 (0.198)	Loss 2.6028 (2.5913)	Prec@1 38.281 (37.576)	Prec@5 65.234 (67.350)
Epoch: [69][3180/7045]	Time 0.102 (0.260)	Data 0.004 (0.198)	Loss 2.4913 (2.5913)	Prec@1 38.281 (37.573)	Prec@5 68.359 (67.349)
Epoch: [69][3190/7045]	Time 0.282 (0.260)	Data 0.225 (0.198)	Loss 2.7399 (2.5914)	Prec@1 34.766 (37.570)	Prec@5 64.844 (67.347)
Epoch: [69][3200/7045]	Time 0.102 (0.260)	Data 0.001 (0.198)	Loss 2.3829 (2.5913)	Prec@1 38.281 (37.568)	Prec@5 71.484 (67.350)
Epoch: [69][3210/7045]	Time 0.466 (0.260)	Data 0.415 (0.198)	Loss 2.6319 (2.5913)	Prec@1 35.938 (37.569)	Prec@5 64.062 (67.347)
Epoch: [69][3220/7045]	Time 0.103 (0.260)	Data 0.001 (0.198)	Loss 2.4063 (2.5911)	Prec@1 43.750 (37.570)	Prec@5 69.922 (67.351)
Epoch: [69][3230/7045]	Time 0.484 (0.260)	Data 0.434 (0.198)	Loss 2.4875 (2.5911)	Prec@1 40.625 (37.572)	Prec@5 72.656 (67.352)
Epoch: [69][3240/7045]	Time 0.125 (0.260)	Data 0.073 (0.197)	Loss 2.4958 (2.5910)	Prec@1 37.500 (37.570)	Prec@5 69.922 (67.353)
Epoch: [69][3250/7045]	Time 0.548 (0.260)	Data 0.497 (0.198)	Loss 2.6669 (2.5910)	Prec@1 39.453 (37.572)	Prec@5 66.016 (67.352)
Epoch: [69][3260/7045]	Time 0.238 (0.260)	Data 0.188 (0.197)	Loss 2.4834 (2.5909)	Prec@1 39.062 (37.578)	Prec@5 68.750 (67.354)
Epoch: [69][3270/7045]	Time 0.517 (0.260)	Data 0.466 (0.197)	Loss 2.3948 (2.5909)	Prec@1 43.359 (37.577)	Prec@5 71.875 (67.351)
Epoch: [69][3280/7045]	Time 0.249 (0.260)	Data 0.199 (0.197)	Loss 2.4882 (2.5910)	Prec@1 38.281 (37.577)	Prec@5 68.359 (67.355)
Epoch: [69][3290/7045]	Time 0.556 (0.260)	Data 0.504 (0.197)	Loss 2.3629 (2.5909)	Prec@1 42.969 (37.577)	Prec@5 75.391 (67.358)
Epoch: [69][3300/7045]	Time 0.209 (0.260)	Data 0.152 (0.197)	Loss 2.4355 (2.5908)	Prec@1 40.625 (37.578)	Prec@5 67.578 (67.358)
Epoch: [69][3310/7045]	Time 0.481 (0.260)	Data 0.430 (0.197)	Loss 2.4812 (2.5909)	Prec@1 37.500 (37.577)	Prec@5 71.484 (67.357)
Epoch: [69][3320/7045]	Time 0.352 (0.260)	Data 0.301 (0.197)	Loss 2.5498 (2.5908)	Prec@1 38.672 (37.581)	Prec@5 64.844 (67.359)
Epoch: [69][3330/7045]	Time 0.390 (0.260)	Data 0.339 (0.197)	Loss 2.7345 (2.5908)	Prec@1 34.766 (37.579)	Prec@5 65.625 (67.357)
Epoch: [69][3340/7045]	Time 0.144 (0.259)	Data 0.092 (0.197)	Loss 2.5148 (2.5908)	Prec@1 39.453 (37.580)	Prec@5 70.703 (67.359)
Epoch: [69][3350/7045]	Time 0.635 (0.260)	Data 0.579 (0.197)	Loss 2.6343 (2.5909)	Prec@1 38.672 (37.580)	Prec@5 69.531 (67.358)
Epoch: [69][3360/7045]	Time 0.102 (0.259)	Data 0.004 (0.197)	Loss 2.5824 (2.5908)	Prec@1 40.234 (37.583)	Prec@5 64.844 (67.360)
Epoch: [69][3370/7045]	Time 0.521 (0.259)	Data 0.470 (0.197)	Loss 2.5035 (2.5908)	Prec@1 39.844 (37.584)	Prec@5 67.969 (67.360)
Epoch: [69][3380/7045]	Time 0.109 (0.259)	Data 0.051 (0.197)	Loss 2.6909 (2.5907)	Prec@1 35.938 (37.587)	Prec@5 65.234 (67.362)
Epoch: [69][3390/7045]	Time 0.278 (0.259)	Data 0.227 (0.197)	Loss 2.5231 (2.5906)	Prec@1 35.156 (37.584)	Prec@5 68.359 (67.365)
Epoch: [69][3400/7045]	Time 0.243 (0.259)	Data 0.192 (0.197)	Loss 2.4603 (2.5905)	Prec@1 40.625 (37.588)	Prec@5 71.094 (67.369)
Epoch: [69][3410/7045]	Time 0.174 (0.259)	Data 0.117 (0.197)	Loss 2.4962 (2.5905)	Prec@1 38.281 (37.586)	Prec@5 65.234 (67.369)
Epoch: [69][3420/7045]	Time 0.103 (0.259)	Data 0.001 (0.197)	Loss 2.5802 (2.5905)	Prec@1 39.844 (37.585)	Prec@5 69.141 (67.372)
Epoch: [69][3430/7045]	Time 0.440 (0.259)	Data 0.390 (0.197)	Loss 2.9230 (2.5905)	Prec@1 30.078 (37.584)	Prec@5 58.203 (67.369)
Epoch: [69][3440/7045]	Time 0.272 (0.259)	Data 0.221 (0.197)	Loss 2.5661 (2.5903)	Prec@1 39.062 (37.589)	Prec@5 67.969 (67.373)
Epoch: [69][3450/7045]	Time 0.745 (0.259)	Data 0.694 (0.197)	Loss 2.4000 (2.5904)	Prec@1 41.016 (37.588)	Prec@5 71.094 (67.369)
Epoch: [69][3460/7045]	Time 0.103 (0.259)	Data 0.001 (0.197)	Loss 2.7831 (2.5905)	Prec@1 35.547 (37.587)	Prec@5 62.109 (67.369)
Epoch: [69][3470/7045]	Time 0.482 (0.259)	Data 0.431 (0.197)	Loss 2.5877 (2.5905)	Prec@1 36.328 (37.585)	Prec@5 66.406 (67.370)
Epoch: [69][3480/7045]	Time 0.101 (0.259)	Data 0.001 (0.197)	Loss 2.6159 (2.5906)	Prec@1 37.109 (37.584)	Prec@5 67.188 (67.367)
Epoch: [69][3490/7045]	Time 0.615 (0.259)	Data 0.554 (0.197)	Loss 2.5464 (2.5906)	Prec@1 39.453 (37.584)	Prec@5 69.922 (67.367)
Epoch: [69][3500/7045]	Time 0.101 (0.259)	Data 0.001 (0.197)	Loss 2.6584 (2.5908)	Prec@1 37.891 (37.578)	Prec@5 68.359 (67.367)
Epoch: [69][3510/7045]	Time 0.378 (0.259)	Data 0.320 (0.197)	Loss 2.4610 (2.5907)	Prec@1 39.844 (37.576)	Prec@5 68.750 (67.368)
Epoch: [69][3520/7045]	Time 0.181 (0.259)	Data 0.128 (0.197)	Loss 2.5599 (2.5907)	Prec@1 37.891 (37.574)	Prec@5 69.141 (67.370)
Epoch: [69][3530/7045]	Time 0.109 (0.259)	Data 0.006 (0.197)	Loss 2.5419 (2.5907)	Prec@1 41.016 (37.575)	Prec@5 68.359 (67.369)
Epoch: [69][3540/7045]	Time 0.103 (0.259)	Data 0.006 (0.196)	Loss 2.7137 (2.5906)	Prec@1 32.812 (37.573)	Prec@5 62.500 (67.369)
Epoch: [69][3550/7045]	Time 0.137 (0.259)	Data 0.085 (0.197)	Loss 2.4690 (2.5905)	Prec@1 39.453 (37.578)	Prec@5 72.266 (67.372)
Epoch: [69][3560/7045]	Time 0.102 (0.259)	Data 0.001 (0.197)	Loss 2.5455 (2.5905)	Prec@1 40.234 (37.580)	Prec@5 67.188 (67.372)
Epoch: [69][3570/7045]	Time 0.647 (0.260)	Data 0.596 (0.197)	Loss 2.5891 (2.5904)	Prec@1 39.844 (37.581)	Prec@5 69.141 (67.374)
Epoch: [69][3580/7045]	Time 0.179 (0.259)	Data 0.128 (0.197)	Loss 2.5644 (2.5904)	Prec@1 36.328 (37.580)	Prec@5 68.359 (67.373)
Epoch: [69][3590/7045]	Time 0.333 (0.259)	Data 0.282 (0.197)	Loss 2.6874 (2.5905)	Prec@1 35.547 (37.582)	Prec@5 64.062 (67.370)
Epoch: [69][3600/7045]	Time 0.535 (0.259)	Data 0.484 (0.197)	Loss 2.8184 (2.5905)	Prec@1 25.781 (37.578)	Prec@5 65.625 (67.367)
Epoch: [69][3610/7045]	Time 0.105 (0.259)	Data 0.046 (0.197)	Loss 2.6424 (2.5905)	Prec@1 37.500 (37.580)	Prec@5 69.922 (67.368)
Epoch: [69][3620/7045]	Time 0.531 (0.259)	Data 0.479 (0.197)	Loss 2.4770 (2.5904)	Prec@1 38.281 (37.581)	Prec@5 73.438 (67.372)
Epoch: [69][3630/7045]	Time 0.106 (0.259)	Data 0.048 (0.197)	Loss 2.3670 (2.5903)	Prec@1 42.969 (37.582)	Prec@5 71.094 (67.373)
Epoch: [69][3640/7045]	Time 0.694 (0.259)	Data 0.642 (0.197)	Loss 2.5512 (2.5904)	Prec@1 38.672 (37.579)	Prec@5 67.578 (67.368)
Epoch: [69][3650/7045]	Time 0.158 (0.259)	Data 0.107 (0.197)	Loss 2.3951 (2.5902)	Prec@1 40.625 (37.582)	Prec@5 71.094 (67.372)
Epoch: [69][3660/7045]	Time 0.660 (0.259)	Data 0.603 (0.197)	Loss 2.6835 (2.5901)	Prec@1 37.109 (37.587)	Prec@5 66.016 (67.372)
Epoch: [69][3670/7045]	Time 0.102 (0.259)	Data 0.001 (0.196)	Loss 2.2782 (2.5900)	Prec@1 44.922 (37.592)	Prec@5 76.172 (67.375)
Epoch: [69][3680/7045]	Time 0.781 (0.259)	Data 0.724 (0.196)	Loss 2.6106 (2.5900)	Prec@1 34.766 (37.591)	Prec@5 67.578 (67.376)
Epoch: [69][3690/7045]	Time 0.102 (0.259)	Data 0.001 (0.196)	Loss 2.7924 (2.5900)	Prec@1 32.812 (37.592)	Prec@5 60.547 (67.376)
Epoch: [69][3700/7045]	Time 0.643 (0.259)	Data 0.585 (0.196)	Loss 2.8797 (2.5901)	Prec@1 33.203 (37.588)	Prec@5 60.156 (67.373)
Epoch: [69][3710/7045]	Time 0.132 (0.259)	Data 0.075 (0.196)	Loss 2.5568 (2.5901)	Prec@1 40.234 (37.589)	Prec@5 64.844 (67.372)
Epoch: [69][3720/7045]	Time 0.542 (0.259)	Data 0.491 (0.196)	Loss 2.6422 (2.5901)	Prec@1 33.594 (37.587)	Prec@5 66.797 (67.371)
Epoch: [69][3730/7045]	Time 0.109 (0.259)	Data 0.001 (0.196)	Loss 2.4532 (2.5903)	Prec@1 42.188 (37.587)	Prec@5 67.969 (67.369)
Epoch: [69][3740/7045]	Time 0.908 (0.259)	Data 0.856 (0.196)	Loss 2.5117 (2.5902)	Prec@1 41.016 (37.591)	Prec@5 69.531 (67.371)
Epoch: [69][3750/7045]	Time 0.114 (0.259)	Data 0.063 (0.196)	Loss 2.5110 (2.5902)	Prec@1 38.672 (37.592)	Prec@5 70.312 (67.372)
Epoch: [69][3760/7045]	Time 3.360 (0.260)	Data 3.304 (0.197)	Loss 2.3735 (2.5902)	Prec@1 41.797 (37.590)	Prec@5 72.656 (67.375)
Epoch: [69][3770/7045]	Time 0.134 (0.260)	Data 0.083 (0.197)	Loss 2.5056 (2.5902)	Prec@1 38.672 (37.587)	Prec@5 63.672 (67.376)
Epoch: [69][3780/7045]	Time 0.193 (0.259)	Data 0.142 (0.197)	Loss 2.5082 (2.5903)	Prec@1 35.547 (37.582)	Prec@5 67.578 (67.373)
Epoch: [69][3790/7045]	Time 0.118 (0.259)	Data 0.067 (0.197)	Loss 2.5183 (2.5902)	Prec@1 38.281 (37.583)	Prec@5 68.750 (67.375)
Epoch: [69][3800/7045]	Time 0.102 (0.259)	Data 0.001 (0.197)	Loss 2.5223 (2.5902)	Prec@1 39.844 (37.585)	Prec@5 70.703 (67.377)
Epoch: [69][3810/7045]	Time 0.103 (0.259)	Data 0.001 (0.197)	Loss 2.7203 (2.5903)	Prec@1 33.203 (37.581)	Prec@5 64.062 (67.375)
Epoch: [69][3820/7045]	Time 0.102 (0.259)	Data 0.001 (0.197)	Loss 2.4724 (2.5903)	Prec@1 36.719 (37.581)	Prec@5 72.656 (67.376)
Epoch: [69][3830/7045]	Time 0.100 (0.259)	Data 0.002 (0.196)	Loss 2.7088 (2.5903)	Prec@1 36.328 (37.577)	Prec@5 64.453 (67.373)
Epoch: [69][3840/7045]	Time 0.144 (0.259)	Data 0.094 (0.196)	Loss 2.6493 (2.5904)	Prec@1 35.547 (37.579)	Prec@5 62.891 (67.369)
Epoch: [69][3850/7045]	Time 0.103 (0.259)	Data 0.007 (0.196)	Loss 2.5941 (2.5904)	Prec@1 37.891 (37.579)	Prec@5 66.406 (67.368)
Epoch: [69][3860/7045]	Time 0.109 (0.260)	Data 0.010 (0.197)	Loss 2.4399 (2.5903)	Prec@1 37.891 (37.578)	Prec@5 75.391 (67.372)
Epoch: [69][3870/7045]	Time 0.208 (0.260)	Data 0.157 (0.197)	Loss 2.2897 (2.5903)	Prec@1 45.312 (37.579)	Prec@5 75.391 (67.373)
Epoch: [69][3880/7045]	Time 0.114 (0.260)	Data 0.055 (0.197)	Loss 2.4623 (2.5902)	Prec@1 41.016 (37.582)	Prec@5 67.188 (67.374)
Epoch: [69][3890/7045]	Time 0.494 (0.260)	Data 0.443 (0.197)	Loss 2.3731 (2.5900)	Prec@1 43.359 (37.587)	Prec@5 70.312 (67.377)
Epoch: [69][3900/7045]	Time 0.132 (0.260)	Data 0.080 (0.197)	Loss 2.6670 (2.5900)	Prec@1 37.109 (37.587)	Prec@5 66.406 (67.377)
Epoch: [69][3910/7045]	Time 0.628 (0.260)	Data 0.578 (0.197)	Loss 2.6071 (2.5900)	Prec@1 35.547 (37.587)	Prec@5 68.359 (67.380)
Epoch: [69][3920/7045]	Time 0.167 (0.259)	Data 0.116 (0.197)	Loss 2.7188 (2.5901)	Prec@1 37.891 (37.587)	Prec@5 62.500 (67.377)
Epoch: [69][3930/7045]	Time 0.529 (0.259)	Data 0.479 (0.197)	Loss 2.7743 (2.5903)	Prec@1 38.281 (37.586)	Prec@5 64.844 (67.377)
Epoch: [69][3940/7045]	Time 0.123 (0.259)	Data 0.073 (0.197)	Loss 2.4303 (2.5903)	Prec@1 44.141 (37.587)	Prec@5 70.703 (67.378)
Epoch: [69][3950/7045]	Time 0.477 (0.260)	Data 0.426 (0.197)	Loss 2.3468 (2.5905)	Prec@1 41.016 (37.584)	Prec@5 69.922 (67.375)
Epoch: [69][3960/7045]	Time 0.204 (0.260)	Data 0.154 (0.197)	Loss 2.7834 (2.5907)	Prec@1 33.203 (37.580)	Prec@5 60.547 (67.370)
Epoch: [69][3970/7045]	Time 0.350 (0.260)	Data 0.298 (0.197)	Loss 2.5040 (2.5906)	Prec@1 41.406 (37.580)	Prec@5 70.703 (67.372)
Epoch: [69][3980/7045]	Time 0.599 (0.260)	Data 0.549 (0.197)	Loss 2.6488 (2.5908)	Prec@1 39.453 (37.580)	Prec@5 65.234 (67.369)
Epoch: [69][3990/7045]	Time 0.108 (0.259)	Data 0.007 (0.197)	Loss 2.6120 (2.5908)	Prec@1 38.672 (37.578)	Prec@5 64.844 (67.367)
Epoch: [69][4000/7045]	Time 0.714 (0.259)	Data 0.663 (0.197)	Loss 2.6819 (2.5907)	Prec@1 34.766 (37.578)	Prec@5 62.109 (67.367)
Epoch: [69][4010/7045]	Time 0.160 (0.259)	Data 0.109 (0.197)	Loss 2.6088 (2.5906)	Prec@1 35.547 (37.581)	Prec@5 64.844 (67.368)
Epoch: [69][4020/7045]	Time 0.652 (0.259)	Data 0.600 (0.197)	Loss 2.8030 (2.5907)	Prec@1 35.547 (37.582)	Prec@5 61.328 (67.368)
Epoch: [69][4030/7045]	Time 0.149 (0.259)	Data 0.099 (0.196)	Loss 2.6287 (2.5908)	Prec@1 38.672 (37.580)	Prec@5 67.578 (67.369)
Epoch: [69][4040/7045]	Time 0.479 (0.259)	Data 0.429 (0.196)	Loss 2.6346 (2.5907)	Prec@1 39.062 (37.584)	Prec@5 65.625 (67.369)
Epoch: [69][4050/7045]	Time 0.103 (0.259)	Data 0.003 (0.196)	Loss 2.6834 (2.5907)	Prec@1 36.719 (37.584)	Prec@5 64.453 (67.368)
Epoch: [69][4060/7045]	Time 0.441 (0.259)	Data 0.391 (0.196)	Loss 2.3958 (2.5906)	Prec@1 39.062 (37.586)	Prec@5 67.969 (67.371)
Epoch: [69][4070/7045]	Time 0.101 (0.259)	Data 0.004 (0.196)	Loss 2.4251 (2.5905)	Prec@1 36.328 (37.586)	Prec@5 66.406 (67.373)
Epoch: [69][4080/7045]	Time 0.476 (0.259)	Data 0.426 (0.196)	Loss 2.8010 (2.5903)	Prec@1 30.469 (37.587)	Prec@5 58.594 (67.373)
Epoch: [69][4090/7045]	Time 0.102 (0.259)	Data 0.013 (0.196)	Loss 2.4655 (2.5904)	Prec@1 39.453 (37.588)	Prec@5 70.312 (67.371)
Epoch: [69][4100/7045]	Time 0.384 (0.259)	Data 0.333 (0.196)	Loss 2.8240 (2.5907)	Prec@1 37.500 (37.581)	Prec@5 62.500 (67.367)
Epoch: [69][4110/7045]	Time 0.307 (0.259)	Data 0.256 (0.196)	Loss 2.7934 (2.5907)	Prec@1 33.203 (37.579)	Prec@5 65.234 (67.365)
Epoch: [69][4120/7045]	Time 0.103 (0.259)	Data 0.050 (0.196)	Loss 2.4638 (2.5906)	Prec@1 39.844 (37.581)	Prec@5 71.094 (67.366)
Epoch: [69][4130/7045]	Time 0.358 (0.259)	Data 0.307 (0.196)	Loss 2.7027 (2.5906)	Prec@1 36.328 (37.579)	Prec@5 64.844 (67.367)
Epoch: [69][4140/7045]	Time 0.128 (0.259)	Data 0.077 (0.196)	Loss 2.6226 (2.5906)	Prec@1 35.547 (37.580)	Prec@5 65.234 (67.367)
Epoch: [69][4150/7045]	Time 0.316 (0.259)	Data 0.265 (0.196)	Loss 2.2908 (2.5906)	Prec@1 43.359 (37.579)	Prec@5 74.219 (67.367)
Epoch: [69][4160/7045]	Time 0.110 (0.259)	Data 0.058 (0.196)	Loss 2.5492 (2.5905)	Prec@1 41.016 (37.581)	Prec@5 69.141 (67.368)
Epoch: [69][4170/7045]	Time 0.242 (0.259)	Data 0.191 (0.196)	Loss 2.6320 (2.5906)	Prec@1 37.500 (37.579)	Prec@5 66.016 (67.367)
Epoch: [69][4180/7045]	Time 0.110 (0.259)	Data 0.058 (0.196)	Loss 2.5149 (2.5906)	Prec@1 40.625 (37.578)	Prec@5 71.094 (67.368)
Epoch: [69][4190/7045]	Time 0.107 (0.259)	Data 0.047 (0.196)	Loss 2.5647 (2.5908)	Prec@1 38.281 (37.574)	Prec@5 65.625 (67.363)
Epoch: [69][4200/7045]	Time 0.102 (0.259)	Data 0.001 (0.196)	Loss 2.6353 (2.5908)	Prec@1 36.328 (37.574)	Prec@5 65.234 (67.362)
Epoch: [69][4210/7045]	Time 0.107 (0.259)	Data 0.049 (0.196)	Loss 2.4800 (2.5907)	Prec@1 37.500 (37.578)	Prec@5 68.359 (67.366)
Epoch: [69][4220/7045]	Time 0.103 (0.259)	Data 0.001 (0.196)	Loss 2.6674 (2.5908)	Prec@1 37.109 (37.578)	Prec@5 64.062 (67.364)
Epoch: [69][4230/7045]	Time 0.106 (0.259)	Data 0.044 (0.196)	Loss 2.7862 (2.5909)	Prec@1 33.984 (37.576)	Prec@5 62.500 (67.363)
Epoch: [69][4240/7045]	Time 0.103 (0.259)	Data 0.001 (0.196)	Loss 2.5417 (2.5908)	Prec@1 34.375 (37.576)	Prec@5 68.750 (67.364)
Epoch: [69][4250/7045]	Time 0.174 (0.259)	Data 0.122 (0.196)	Loss 2.4063 (2.5906)	Prec@1 42.578 (37.581)	Prec@5 69.922 (67.366)
Epoch: [69][4260/7045]	Time 0.164 (0.259)	Data 0.113 (0.196)	Loss 2.5099 (2.5906)	Prec@1 44.141 (37.585)	Prec@5 66.406 (67.365)
Epoch: [69][4270/7045]	Time 0.101 (0.259)	Data 0.004 (0.196)	Loss 2.5530 (2.5907)	Prec@1 39.844 (37.582)	Prec@5 67.188 (67.363)
Epoch: [69][4280/7045]	Time 0.460 (0.259)	Data 0.409 (0.196)	Loss 2.5419 (2.5906)	Prec@1 36.328 (37.584)	Prec@5 68.750 (67.368)
Epoch: [69][4290/7045]	Time 0.100 (0.259)	Data 0.045 (0.196)	Loss 2.5462 (2.5905)	Prec@1 37.891 (37.585)	Prec@5 66.797 (67.372)
Epoch: [69][4300/7045]	Time 0.524 (0.259)	Data 0.474 (0.196)	Loss 2.5627 (2.5905)	Prec@1 37.109 (37.584)	Prec@5 66.797 (67.371)
Epoch: [69][4310/7045]	Time 0.106 (0.259)	Data 0.054 (0.196)	Loss 2.5138 (2.5905)	Prec@1 38.281 (37.585)	Prec@5 69.141 (67.374)
Epoch: [69][4320/7045]	Time 0.595 (0.259)	Data 0.545 (0.196)	Loss 2.7757 (2.5906)	Prec@1 32.422 (37.583)	Prec@5 64.453 (67.373)
Epoch: [69][4330/7045]	Time 0.114 (0.259)	Data 0.062 (0.196)	Loss 2.4609 (2.5905)	Prec@1 39.844 (37.583)	Prec@5 69.531 (67.374)
Epoch: [69][4340/7045]	Time 0.745 (0.259)	Data 0.695 (0.196)	Loss 2.1943 (2.5904)	Prec@1 44.922 (37.587)	Prec@5 71.484 (67.372)
Epoch: [69][4350/7045]	Time 0.101 (0.259)	Data 0.005 (0.196)	Loss 2.6688 (2.5906)	Prec@1 35.547 (37.584)	Prec@5 62.109 (67.367)
Epoch: [69][4360/7045]	Time 0.627 (0.259)	Data 0.569 (0.196)	Loss 2.5423 (2.5905)	Prec@1 37.500 (37.587)	Prec@5 67.969 (67.368)
Epoch: [69][4370/7045]	Time 0.111 (0.259)	Data 0.059 (0.196)	Loss 2.5972 (2.5904)	Prec@1 35.156 (37.591)	Prec@5 69.922 (67.368)
Epoch: [69][4380/7045]	Time 0.440 (0.259)	Data 0.389 (0.196)	Loss 2.4687 (2.5903)	Prec@1 43.750 (37.593)	Prec@5 69.531 (67.372)
Epoch: [69][4390/7045]	Time 0.288 (0.259)	Data 0.235 (0.196)	Loss 2.3257 (2.5902)	Prec@1 45.703 (37.597)	Prec@5 72.656 (67.373)
Epoch: [69][4400/7045]	Time 0.405 (0.259)	Data 0.353 (0.196)	Loss 2.6136 (2.5902)	Prec@1 37.109 (37.600)	Prec@5 66.406 (67.372)
Epoch: [69][4410/7045]	Time 0.102 (0.259)	Data 0.006 (0.196)	Loss 2.5920 (2.5903)	Prec@1 35.156 (37.596)	Prec@5 66.797 (67.371)
Epoch: [69][4420/7045]	Time 0.358 (0.259)	Data 0.308 (0.196)	Loss 2.3628 (2.5904)	Prec@1 44.531 (37.598)	Prec@5 69.531 (67.369)
Epoch: [69][4430/7045]	Time 0.180 (0.259)	Data 0.129 (0.196)	Loss 2.5068 (2.5904)	Prec@1 41.797 (37.597)	Prec@5 71.484 (67.369)
Epoch: [69][4440/7045]	Time 0.199 (0.259)	Data 0.148 (0.196)	Loss 2.4437 (2.5903)	Prec@1 39.844 (37.598)	Prec@5 73.438 (67.372)
Epoch: [69][4450/7045]	Time 0.205 (0.259)	Data 0.154 (0.196)	Loss 2.6867 (2.5903)	Prec@1 31.641 (37.597)	Prec@5 66.797 (67.371)
Epoch: [69][4460/7045]	Time 0.102 (0.259)	Data 0.001 (0.196)	Loss 2.5594 (2.5903)	Prec@1 40.234 (37.596)	Prec@5 65.234 (67.370)
Epoch: [69][4470/7045]	Time 0.523 (0.259)	Data 0.471 (0.196)	Loss 2.7443 (2.5905)	Prec@1 33.984 (37.592)	Prec@5 65.234 (67.367)
Epoch: [69][4480/7045]	Time 0.102 (0.259)	Data 0.001 (0.196)	Loss 2.5373 (2.5906)	Prec@1 41.797 (37.591)	Prec@5 69.922 (67.366)
Epoch: [69][4490/7045]	Time 0.601 (0.260)	Data 0.549 (0.196)	Loss 2.7966 (2.5907)	Prec@1 39.062 (37.588)	Prec@5 63.281 (67.363)
Epoch: [69][4500/7045]	Time 0.108 (0.259)	Data 0.001 (0.196)	Loss 2.6680 (2.5906)	Prec@1 33.203 (37.585)	Prec@5 65.234 (67.365)
Epoch: [69][4510/7045]	Time 0.490 (0.259)	Data 0.439 (0.196)	Loss 2.6575 (2.5907)	Prec@1 35.156 (37.585)	Prec@5 66.016 (67.363)
Epoch: [69][4520/7045]	Time 0.216 (0.259)	Data 0.165 (0.196)	Loss 2.4066 (2.5906)	Prec@1 39.453 (37.584)	Prec@5 68.359 (67.363)
Epoch: [69][4530/7045]	Time 0.544 (0.259)	Data 0.493 (0.196)	Loss 2.5443 (2.5904)	Prec@1 37.500 (37.587)	Prec@5 71.094 (67.370)
Epoch: [69][4540/7045]	Time 0.118 (0.259)	Data 0.067 (0.196)	Loss 2.5972 (2.5904)	Prec@1 39.844 (37.584)	Prec@5 68.750 (67.368)
Epoch: [69][4550/7045]	Time 0.540 (0.259)	Data 0.489 (0.196)	Loss 2.5088 (2.5904)	Prec@1 40.234 (37.585)	Prec@5 71.484 (67.370)
Epoch: [69][4560/7045]	Time 0.166 (0.259)	Data 0.115 (0.196)	Loss 2.5732 (2.5903)	Prec@1 37.109 (37.585)	Prec@5 66.406 (67.372)
Epoch: [69][4570/7045]	Time 0.421 (0.259)	Data 0.370 (0.196)	Loss 2.6897 (2.5903)	Prec@1 35.938 (37.583)	Prec@5 65.234 (67.371)
Epoch: [69][4580/7045]	Time 0.112 (0.259)	Data 0.061 (0.196)	Loss 2.7233 (2.5902)	Prec@1 33.594 (37.586)	Prec@5 63.672 (67.374)
Epoch: [69][4590/7045]	Time 0.422 (0.259)	Data 0.371 (0.196)	Loss 2.6294 (2.5903)	Prec@1 35.938 (37.586)	Prec@5 67.969 (67.374)
Epoch: [69][4600/7045]	Time 0.259 (0.259)	Data 0.206 (0.196)	Loss 2.6542 (2.5903)	Prec@1 33.594 (37.584)	Prec@5 65.234 (67.374)
Epoch: [69][4610/7045]	Time 0.245 (0.259)	Data 0.195 (0.196)	Loss 2.5008 (2.5904)	Prec@1 35.938 (37.581)	Prec@5 69.141 (67.371)
Epoch: [69][4620/7045]	Time 0.105 (0.259)	Data 0.052 (0.196)	Loss 2.7299 (2.5904)	Prec@1 34.766 (37.583)	Prec@5 66.406 (67.370)
Epoch: [69][4630/7045]	Time 0.239 (0.259)	Data 0.189 (0.196)	Loss 2.3778 (2.5903)	Prec@1 41.797 (37.587)	Prec@5 72.656 (67.370)
Epoch: [69][4640/7045]	Time 0.359 (0.259)	Data 0.308 (0.196)	Loss 2.6539 (2.5903)	Prec@1 37.500 (37.587)	Prec@5 69.531 (67.370)
Epoch: [69][4650/7045]	Time 0.458 (0.259)	Data 0.406 (0.196)	Loss 2.3813 (2.5903)	Prec@1 37.109 (37.585)	Prec@5 71.875 (67.370)
Epoch: [69][4660/7045]	Time 0.122 (0.259)	Data 0.070 (0.196)	Loss 2.8060 (2.5905)	Prec@1 34.375 (37.580)	Prec@5 61.719 (67.368)
Epoch: [69][4670/7045]	Time 0.325 (0.259)	Data 0.274 (0.196)	Loss 2.6165 (2.5906)	Prec@1 33.984 (37.578)	Prec@5 66.797 (67.366)
Epoch: [69][4680/7045]	Time 0.103 (0.259)	Data 0.006 (0.196)	Loss 2.8078 (2.5906)	Prec@1 33.984 (37.576)	Prec@5 64.062 (67.366)
Epoch: [69][4690/7045]	Time 0.328 (0.259)	Data 0.278 (0.196)	Loss 2.6213 (2.5905)	Prec@1 37.500 (37.580)	Prec@5 66.406 (67.366)
Epoch: [69][4700/7045]	Time 0.102 (0.259)	Data 0.001 (0.196)	Loss 2.5054 (2.5905)	Prec@1 34.766 (37.580)	Prec@5 69.531 (67.366)
Epoch: [69][4710/7045]	Time 0.411 (0.259)	Data 0.355 (0.196)	Loss 2.6538 (2.5906)	Prec@1 36.719 (37.578)	Prec@5 64.844 (67.364)
Epoch: [69][4720/7045]	Time 0.102 (0.259)	Data 0.001 (0.196)	Loss 2.5043 (2.5907)	Prec@1 40.234 (37.577)	Prec@5 69.922 (67.362)
Epoch: [69][4730/7045]	Time 0.475 (0.259)	Data 0.423 (0.196)	Loss 2.6458 (2.5909)	Prec@1 34.766 (37.574)	Prec@5 67.969 (67.359)
Epoch: [69][4740/7045]	Time 0.130 (0.259)	Data 0.078 (0.196)	Loss 2.3948 (2.5909)	Prec@1 42.578 (37.573)	Prec@5 74.609 (67.362)
Epoch: [69][4750/7045]	Time 0.458 (0.259)	Data 0.407 (0.196)	Loss 2.6602 (2.5910)	Prec@1 37.500 (37.572)	Prec@5 64.062 (67.360)
Epoch: [69][4760/7045]	Time 0.351 (0.259)	Data 0.300 (0.196)	Loss 2.7237 (2.5912)	Prec@1 37.500 (37.568)	Prec@5 61.719 (67.356)
Epoch: [69][4770/7045]	Time 0.308 (0.259)	Data 0.256 (0.196)	Loss 2.5183 (2.5912)	Prec@1 39.453 (37.569)	Prec@5 68.359 (67.356)
Epoch: [69][4780/7045]	Time 0.333 (0.259)	Data 0.283 (0.196)	Loss 2.6759 (2.5912)	Prec@1 37.891 (37.570)	Prec@5 69.531 (67.358)
Epoch: [69][4790/7045]	Time 0.102 (0.259)	Data 0.001 (0.196)	Loss 2.3345 (2.5912)	Prec@1 40.625 (37.572)	Prec@5 72.266 (67.357)
Epoch: [69][4800/7045]	Time 0.239 (0.259)	Data 0.188 (0.196)	Loss 2.5961 (2.5912)	Prec@1 37.891 (37.572)	Prec@5 70.312 (67.357)
Epoch: [69][4810/7045]	Time 0.102 (0.260)	Data 0.001 (0.197)	Loss 2.7395 (2.5913)	Prec@1 33.594 (37.570)	Prec@5 64.844 (67.356)
Epoch: [69][4820/7045]	Time 0.126 (0.260)	Data 0.075 (0.197)	Loss 2.5893 (2.5913)	Prec@1 36.719 (37.569)	Prec@5 65.234 (67.356)
Epoch: [69][4830/7045]	Time 0.304 (0.260)	Data 0.252 (0.197)	Loss 2.5960 (2.5913)	Prec@1 37.500 (37.569)	Prec@5 67.188 (67.355)
Epoch: [69][4840/7045]	Time 0.178 (0.260)	Data 0.127 (0.197)	Loss 2.3717 (2.5913)	Prec@1 42.969 (37.570)	Prec@5 70.703 (67.354)
Epoch: [69][4850/7045]	Time 0.370 (0.260)	Data 0.310 (0.197)	Loss 2.6305 (2.5913)	Prec@1 34.766 (37.572)	Prec@5 67.969 (67.353)
Epoch: [69][4860/7045]	Time 0.100 (0.260)	Data 0.001 (0.197)	Loss 2.5264 (2.5913)	Prec@1 37.891 (37.572)	Prec@5 67.188 (67.350)
Epoch: [69][4870/7045]	Time 0.524 (0.260)	Data 0.465 (0.197)	Loss 2.5193 (2.5913)	Prec@1 41.016 (37.573)	Prec@5 69.531 (67.351)
Epoch: [69][4880/7045]	Time 0.108 (0.260)	Data 0.001 (0.197)	Loss 2.5119 (2.5912)	Prec@1 38.281 (37.573)	Prec@5 67.969 (67.352)
Epoch: [69][4890/7045]	Time 0.549 (0.260)	Data 0.492 (0.197)	Loss 2.6284 (2.5912)	Prec@1 34.375 (37.573)	Prec@5 68.359 (67.355)
Epoch: [69][4900/7045]	Time 0.107 (0.260)	Data 0.001 (0.197)	Loss 2.5822 (2.5912)	Prec@1 37.500 (37.574)	Prec@5 66.016 (67.355)
Epoch: [69][4910/7045]	Time 0.627 (0.260)	Data 0.574 (0.197)	Loss 2.7907 (2.5912)	Prec@1 33.203 (37.574)	Prec@5 62.500 (67.354)
Epoch: [69][4920/7045]	Time 0.102 (0.259)	Data 0.050 (0.196)	Loss 2.5285 (2.5912)	Prec@1 39.062 (37.573)	Prec@5 67.969 (67.355)
Epoch: [69][4930/7045]	Time 0.585 (0.259)	Data 0.535 (0.196)	Loss 2.4240 (2.5911)	Prec@1 44.531 (37.575)	Prec@5 73.438 (67.355)
Epoch: [69][4940/7045]	Time 0.109 (0.259)	Data 0.057 (0.196)	Loss 2.5285 (2.5911)	Prec@1 41.406 (37.575)	Prec@5 71.484 (67.357)
Epoch: [69][4950/7045]	Time 0.863 (0.259)	Data 0.812 (0.196)	Loss 2.5772 (2.5910)	Prec@1 37.891 (37.576)	Prec@5 67.188 (67.358)
Epoch: [69][4960/7045]	Time 0.262 (0.259)	Data 0.212 (0.196)	Loss 2.3768 (2.5909)	Prec@1 42.188 (37.577)	Prec@5 69.531 (67.363)
Epoch: [69][4970/7045]	Time 0.195 (0.259)	Data 0.137 (0.196)	Loss 2.5854 (2.5909)	Prec@1 36.719 (37.574)	Prec@5 64.844 (67.360)
Epoch: [69][4980/7045]	Time 0.215 (0.259)	Data 0.165 (0.196)	Loss 2.6099 (2.5908)	Prec@1 38.281 (37.576)	Prec@5 64.453 (67.363)
Epoch: [69][4990/7045]	Time 0.170 (0.259)	Data 0.118 (0.196)	Loss 2.5130 (2.5908)	Prec@1 41.797 (37.576)	Prec@5 66.406 (67.362)
Epoch: [69][5000/7045]	Time 0.119 (0.259)	Data 0.069 (0.196)	Loss 2.5654 (2.5908)	Prec@1 37.109 (37.575)	Prec@5 69.141 (67.362)
Epoch: [69][5010/7045]	Time 0.312 (0.259)	Data 0.260 (0.196)	Loss 2.7229 (2.5908)	Prec@1 36.328 (37.574)	Prec@5 61.719 (67.359)
Epoch: [69][5020/7045]	Time 0.107 (0.259)	Data 0.001 (0.196)	Loss 2.6354 (2.5908)	Prec@1 39.062 (37.574)	Prec@5 64.453 (67.359)
Epoch: [69][5030/7045]	Time 0.240 (0.259)	Data 0.190 (0.196)	Loss 2.6128 (2.5908)	Prec@1 39.062 (37.575)	Prec@5 64.844 (67.359)
Epoch: [69][5040/7045]	Time 0.101 (0.259)	Data 0.045 (0.196)	Loss 2.7415 (2.5909)	Prec@1 36.719 (37.573)	Prec@5 62.891 (67.356)
Epoch: [69][5050/7045]	Time 0.332 (0.259)	Data 0.281 (0.196)	Loss 2.4915 (2.5908)	Prec@1 42.188 (37.577)	Prec@5 67.578 (67.358)
Epoch: [69][5060/7045]	Time 0.110 (0.259)	Data 0.058 (0.196)	Loss 2.5508 (2.5909)	Prec@1 38.281 (37.574)	Prec@5 65.625 (67.357)
Epoch: [69][5070/7045]	Time 0.622 (0.259)	Data 0.569 (0.196)	Loss 2.6834 (2.5909)	Prec@1 34.766 (37.572)	Prec@5 66.406 (67.357)
Epoch: [69][5080/7045]	Time 0.108 (0.259)	Data 0.057 (0.196)	Loss 2.6040 (2.5909)	Prec@1 37.891 (37.571)	Prec@5 65.625 (67.355)
Epoch: [69][5090/7045]	Time 0.572 (0.259)	Data 0.520 (0.196)	Loss 2.6066 (2.5909)	Prec@1 38.281 (37.572)	Prec@5 67.188 (67.355)
Epoch: [69][5100/7045]	Time 0.111 (0.259)	Data 0.059 (0.196)	Loss 2.7618 (2.5909)	Prec@1 34.375 (37.570)	Prec@5 60.547 (67.354)
Epoch: [69][5110/7045]	Time 0.527 (0.259)	Data 0.477 (0.196)	Loss 2.6155 (2.5909)	Prec@1 38.281 (37.572)	Prec@5 65.625 (67.355)
Epoch: [69][5120/7045]	Time 0.107 (0.260)	Data 0.001 (0.197)	Loss 2.6928 (2.5910)	Prec@1 38.281 (37.571)	Prec@5 65.625 (67.354)
Epoch: [69][5130/7045]	Time 0.512 (0.260)	Data 0.461 (0.197)	Loss 2.6002 (2.5910)	Prec@1 38.281 (37.568)	Prec@5 67.578 (67.354)
Epoch: [69][5140/7045]	Time 0.102 (0.260)	Data 0.046 (0.197)	Loss 2.6465 (2.5911)	Prec@1 34.766 (37.565)	Prec@5 66.797 (67.353)
Epoch: [69][5150/7045]	Time 0.565 (0.260)	Data 0.515 (0.197)	Loss 2.4675 (2.5912)	Prec@1 37.891 (37.563)	Prec@5 73.438 (67.353)
Epoch: [69][5160/7045]	Time 0.103 (0.259)	Data 0.001 (0.196)	Loss 2.3668 (2.5911)	Prec@1 40.625 (37.565)	Prec@5 70.703 (67.355)
Epoch: [69][5170/7045]	Time 0.481 (0.259)	Data 0.429 (0.196)	Loss 2.6439 (2.5911)	Prec@1 36.719 (37.566)	Prec@5 70.312 (67.354)
Epoch: [69][5180/7045]	Time 0.102 (0.259)	Data 0.001 (0.196)	Loss 2.4738 (2.5911)	Prec@1 41.797 (37.567)	Prec@5 67.188 (67.353)
Epoch: [69][5190/7045]	Time 0.471 (0.259)	Data 0.419 (0.196)	Loss 2.3872 (2.5911)	Prec@1 46.094 (37.570)	Prec@5 68.750 (67.351)
Epoch: [69][5200/7045]	Time 0.102 (0.259)	Data 0.045 (0.196)	Loss 2.5191 (2.5910)	Prec@1 39.062 (37.571)	Prec@5 66.406 (67.352)
Epoch: [69][5210/7045]	Time 0.457 (0.259)	Data 0.406 (0.196)	Loss 2.4075 (2.5910)	Prec@1 37.109 (37.568)	Prec@5 72.266 (67.353)
Epoch: [69][5220/7045]	Time 0.524 (0.259)	Data 0.474 (0.196)	Loss 2.5066 (2.5910)	Prec@1 39.453 (37.568)	Prec@5 71.484 (67.351)
Epoch: [69][5230/7045]	Time 0.120 (0.259)	Data 0.060 (0.196)	Loss 2.9724 (2.5911)	Prec@1 30.469 (37.565)	Prec@5 60.938 (67.349)
Epoch: [69][5240/7045]	Time 0.599 (0.259)	Data 0.548 (0.196)	Loss 2.4890 (2.5910)	Prec@1 39.453 (37.568)	Prec@5 70.312 (67.350)
Epoch: [69][5250/7045]	Time 0.109 (0.259)	Data 0.050 (0.196)	Loss 2.8083 (2.5910)	Prec@1 31.641 (37.567)	Prec@5 62.500 (67.349)
Epoch: [69][5260/7045]	Time 0.610 (0.259)	Data 0.559 (0.196)	Loss 2.6764 (2.5911)	Prec@1 35.938 (37.565)	Prec@5 66.406 (67.346)
Epoch: [69][5270/7045]	Time 0.099 (0.259)	Data 0.044 (0.196)	Loss 2.6524 (2.5910)	Prec@1 35.547 (37.566)	Prec@5 67.188 (67.351)
Epoch: [69][5280/7045]	Time 0.449 (0.259)	Data 0.397 (0.196)	Loss 2.6280 (2.5911)	Prec@1 33.594 (37.565)	Prec@5 65.234 (67.347)
Epoch: [69][5290/7045]	Time 0.135 (0.259)	Data 0.083 (0.196)	Loss 2.9576 (2.5911)	Prec@1 28.906 (37.565)	Prec@5 58.984 (67.347)
Epoch: [69][5300/7045]	Time 0.446 (0.259)	Data 0.396 (0.196)	Loss 2.2424 (2.5911)	Prec@1 42.969 (37.565)	Prec@5 76.953 (67.346)
Epoch: [69][5310/7045]	Time 0.116 (0.259)	Data 0.065 (0.196)	Loss 2.6952 (2.5912)	Prec@1 33.594 (37.562)	Prec@5 67.969 (67.346)
Epoch: [69][5320/7045]	Time 0.445 (0.259)	Data 0.394 (0.196)	Loss 2.4340 (2.5913)	Prec@1 45.703 (37.560)	Prec@5 69.141 (67.346)
Epoch: [69][5330/7045]	Time 0.300 (0.259)	Data 0.241 (0.196)	Loss 2.3842 (2.5914)	Prec@1 42.969 (37.557)	Prec@5 71.875 (67.343)
Epoch: [69][5340/7045]	Time 0.327 (0.259)	Data 0.276 (0.196)	Loss 2.4128 (2.5914)	Prec@1 44.922 (37.560)	Prec@5 71.484 (67.341)
Epoch: [69][5350/7045]	Time 0.279 (0.259)	Data 0.221 (0.196)	Loss 2.7086 (2.5915)	Prec@1 35.547 (37.559)	Prec@5 64.453 (67.341)
Epoch: [69][5360/7045]	Time 0.362 (0.259)	Data 0.312 (0.196)	Loss 2.6697 (2.5916)	Prec@1 41.016 (37.558)	Prec@5 64.453 (67.339)
Epoch: [69][5370/7045]	Time 0.242 (0.259)	Data 0.191 (0.196)	Loss 2.4804 (2.5916)	Prec@1 40.625 (37.559)	Prec@5 71.484 (67.340)
Epoch: [69][5380/7045]	Time 0.373 (0.259)	Data 0.322 (0.196)	Loss 2.6482 (2.5916)	Prec@1 33.984 (37.557)	Prec@5 64.453 (67.340)
Epoch: [69][5390/7045]	Time 0.240 (0.259)	Data 0.189 (0.196)	Loss 2.7051 (2.5916)	Prec@1 34.375 (37.557)	Prec@5 65.234 (67.338)
Epoch: [69][5400/7045]	Time 0.313 (0.259)	Data 0.262 (0.196)	Loss 2.5990 (2.5916)	Prec@1 39.453 (37.556)	Prec@5 68.750 (67.339)
Epoch: [69][5410/7045]	Time 0.313 (0.259)	Data 0.262 (0.196)	Loss 2.5302 (2.5916)	Prec@1 37.109 (37.554)	Prec@5 69.922 (67.339)
Epoch: [69][5420/7045]	Time 0.238 (0.259)	Data 0.187 (0.196)	Loss 2.4104 (2.5916)	Prec@1 40.234 (37.553)	Prec@5 73.438 (67.340)
Epoch: [69][5430/7045]	Time 0.340 (0.259)	Data 0.288 (0.196)	Loss 2.8302 (2.5916)	Prec@1 35.938 (37.553)	Prec@5 64.844 (67.343)
Epoch: [69][5440/7045]	Time 0.159 (0.259)	Data 0.107 (0.196)	Loss 2.6244 (2.5915)	Prec@1 41.016 (37.554)	Prec@5 67.188 (67.345)
Epoch: [69][5450/7045]	Time 0.359 (0.259)	Data 0.308 (0.196)	Loss 2.4061 (2.5916)	Prec@1 43.750 (37.553)	Prec@5 70.312 (67.345)
Epoch: [69][5460/7045]	Time 0.320 (0.259)	Data 0.268 (0.196)	Loss 2.7315 (2.5917)	Prec@1 37.500 (37.553)	Prec@5 65.625 (67.345)
Epoch: [69][5470/7045]	Time 0.270 (0.259)	Data 0.220 (0.196)	Loss 2.9286 (2.5916)	Prec@1 34.375 (37.553)	Prec@5 62.109 (67.344)
Epoch: [69][5480/7045]	Time 0.273 (0.259)	Data 0.222 (0.196)	Loss 2.7057 (2.5918)	Prec@1 34.375 (37.550)	Prec@5 63.281 (67.340)
Epoch: [69][5490/7045]	Time 0.099 (0.259)	Data 0.047 (0.196)	Loss 2.8286 (2.5919)	Prec@1 30.859 (37.547)	Prec@5 61.719 (67.338)
Epoch: [69][5500/7045]	Time 0.527 (0.259)	Data 0.476 (0.196)	Loss 2.4415 (2.5918)	Prec@1 39.062 (37.548)	Prec@5 70.703 (67.341)
Epoch: [69][5510/7045]	Time 0.107 (0.259)	Data 0.055 (0.196)	Loss 2.5605 (2.5917)	Prec@1 39.844 (37.548)	Prec@5 69.141 (67.343)
Epoch: [69][5520/7045]	Time 0.470 (0.259)	Data 0.420 (0.196)	Loss 2.7029 (2.5917)	Prec@1 37.891 (37.546)	Prec@5 63.672 (67.344)
Epoch: [69][5530/7045]	Time 0.102 (0.259)	Data 0.002 (0.196)	Loss 2.4943 (2.5917)	Prec@1 35.547 (37.545)	Prec@5 68.750 (67.344)
Epoch: [69][5540/7045]	Time 0.303 (0.259)	Data 0.252 (0.196)	Loss 2.8801 (2.5919)	Prec@1 34.375 (37.541)	Prec@5 60.156 (67.341)
Epoch: [69][5550/7045]	Time 0.102 (0.258)	Data 0.003 (0.196)	Loss 2.4748 (2.5919)	Prec@1 40.234 (37.540)	Prec@5 67.969 (67.341)
Epoch: [69][5560/7045]	Time 0.420 (0.258)	Data 0.362 (0.196)	Loss 2.6729 (2.5921)	Prec@1 38.672 (37.539)	Prec@5 64.844 (67.338)
Epoch: [69][5570/7045]	Time 0.229 (0.258)	Data 0.177 (0.196)	Loss 2.4040 (2.5920)	Prec@1 41.016 (37.541)	Prec@5 71.875 (67.340)
Epoch: [69][5580/7045]	Time 0.341 (0.258)	Data 0.290 (0.196)	Loss 2.6733 (2.5920)	Prec@1 34.766 (37.539)	Prec@5 65.234 (67.338)
Epoch: [69][5590/7045]	Time 0.411 (0.258)	Data 0.359 (0.196)	Loss 2.7426 (2.5920)	Prec@1 33.203 (37.541)	Prec@5 63.281 (67.338)
Epoch: [69][5600/7045]	Time 0.269 (0.258)	Data 0.209 (0.196)	Loss 2.6986 (2.5921)	Prec@1 34.766 (37.539)	Prec@5 67.578 (67.338)
Epoch: [69][5610/7045]	Time 0.489 (0.258)	Data 0.438 (0.196)	Loss 2.6609 (2.5920)	Prec@1 35.156 (37.538)	Prec@5 66.016 (67.340)
Epoch: [69][5620/7045]	Time 0.109 (0.258)	Data 0.007 (0.196)	Loss 2.4110 (2.5920)	Prec@1 39.453 (37.538)	Prec@5 69.531 (67.340)
Epoch: [69][5630/7045]	Time 0.507 (0.258)	Data 0.457 (0.196)	Loss 2.6378 (2.5920)	Prec@1 35.547 (37.538)	Prec@5 62.109 (67.338)
Epoch: [69][5640/7045]	Time 0.183 (0.258)	Data 0.133 (0.196)	Loss 2.5817 (2.5919)	Prec@1 37.500 (37.541)	Prec@5 67.578 (67.339)
Epoch: [69][5650/7045]	Time 0.426 (0.258)	Data 0.376 (0.196)	Loss 2.4483 (2.5919)	Prec@1 43.750 (37.544)	Prec@5 69.922 (67.340)
Epoch: [69][5660/7045]	Time 0.101 (0.258)	Data 0.044 (0.195)	Loss 2.7140 (2.5920)	Prec@1 37.500 (37.543)	Prec@5 64.062 (67.337)
Epoch: [69][5670/7045]	Time 0.184 (0.258)	Data 0.131 (0.195)	Loss 2.4848 (2.5920)	Prec@1 40.234 (37.545)	Prec@5 73.438 (67.337)
Epoch: [69][5680/7045]	Time 0.224 (0.258)	Data 0.172 (0.195)	Loss 2.7264 (2.5920)	Prec@1 35.156 (37.545)	Prec@5 66.016 (67.336)
Epoch: [69][5690/7045]	Time 0.108 (0.258)	Data 0.001 (0.195)	Loss 2.3601 (2.5920)	Prec@1 40.625 (37.547)	Prec@5 68.750 (67.336)
Epoch: [69][5700/7045]	Time 0.125 (0.258)	Data 0.072 (0.195)	Loss 2.5857 (2.5919)	Prec@1 35.156 (37.548)	Prec@5 63.672 (67.335)
Epoch: [69][5710/7045]	Time 0.222 (0.258)	Data 0.170 (0.195)	Loss 2.4726 (2.5920)	Prec@1 37.891 (37.546)	Prec@5 67.578 (67.333)
Epoch: [69][5720/7045]	Time 0.117 (0.258)	Data 0.066 (0.195)	Loss 2.3894 (2.5919)	Prec@1 42.578 (37.548)	Prec@5 72.656 (67.335)
Epoch: [69][5730/7045]	Time 0.259 (0.258)	Data 0.208 (0.195)	Loss 2.6860 (2.5918)	Prec@1 37.109 (37.551)	Prec@5 66.016 (67.337)
Epoch: [69][5740/7045]	Time 0.250 (0.258)	Data 0.200 (0.195)	Loss 2.3223 (2.5918)	Prec@1 45.703 (37.553)	Prec@5 75.391 (67.341)
Epoch: [69][5750/7045]	Time 0.169 (0.258)	Data 0.118 (0.195)	Loss 2.4576 (2.5919)	Prec@1 43.750 (37.552)	Prec@5 72.656 (67.341)
Epoch: [69][5760/7045]	Time 0.412 (0.258)	Data 0.362 (0.195)	Loss 2.4411 (2.5919)	Prec@1 39.844 (37.552)	Prec@5 71.875 (67.342)
Epoch: [69][5770/7045]	Time 0.167 (0.258)	Data 0.116 (0.195)	Loss 2.6163 (2.5920)	Prec@1 36.328 (37.548)	Prec@5 65.625 (67.339)
Epoch: [69][5780/7045]	Time 0.640 (0.258)	Data 0.588 (0.195)	Loss 2.7342 (2.5920)	Prec@1 33.594 (37.546)	Prec@5 62.891 (67.338)
Epoch: [69][5790/7045]	Time 0.159 (0.258)	Data 0.107 (0.195)	Loss 2.5062 (2.5920)	Prec@1 42.188 (37.547)	Prec@5 69.922 (67.340)
Epoch: [69][5800/7045]	Time 0.410 (0.258)	Data 0.357 (0.195)	Loss 2.6753 (2.5920)	Prec@1 36.328 (37.546)	Prec@5 65.625 (67.340)
Epoch: [69][5810/7045]	Time 0.420 (0.258)	Data 0.369 (0.195)	Loss 2.3790 (2.5919)	Prec@1 41.016 (37.547)	Prec@5 73.438 (67.343)
Epoch: [69][5820/7045]	Time 0.394 (0.258)	Data 0.337 (0.195)	Loss 2.7055 (2.5919)	Prec@1 40.625 (37.547)	Prec@5 64.453 (67.344)
Epoch: [69][5830/7045]	Time 0.438 (0.258)	Data 0.386 (0.195)	Loss 2.4921 (2.5919)	Prec@1 35.156 (37.546)	Prec@5 69.141 (67.344)
Epoch: [69][5840/7045]	Time 0.199 (0.258)	Data 0.142 (0.195)	Loss 2.5040 (2.5918)	Prec@1 39.062 (37.547)	Prec@5 68.359 (67.343)
Epoch: [69][5850/7045]	Time 0.391 (0.258)	Data 0.340 (0.195)	Loss 2.5517 (2.5918)	Prec@1 35.938 (37.546)	Prec@5 67.578 (67.343)
Epoch: [69][5860/7045]	Time 0.147 (0.258)	Data 0.095 (0.195)	Loss 2.4091 (2.5918)	Prec@1 41.406 (37.547)	Prec@5 71.875 (67.344)
Epoch: [69][5870/7045]	Time 0.340 (0.258)	Data 0.289 (0.195)	Loss 2.5110 (2.5918)	Prec@1 37.891 (37.547)	Prec@5 64.844 (67.344)
Epoch: [69][5880/7045]	Time 0.102 (0.258)	Data 0.049 (0.195)	Loss 2.6390 (2.5918)	Prec@1 36.719 (37.545)	Prec@5 66.016 (67.343)
Epoch: [69][5890/7045]	Time 0.215 (0.258)	Data 0.164 (0.195)	Loss 2.6166 (2.5919)	Prec@1 38.281 (37.544)	Prec@5 67.188 (67.342)
Epoch: [69][5900/7045]	Time 0.212 (0.258)	Data 0.160 (0.195)	Loss 2.7377 (2.5920)	Prec@1 35.547 (37.543)	Prec@5 62.109 (67.341)
Epoch: [69][5910/7045]	Time 0.111 (0.258)	Data 0.059 (0.195)	Loss 2.5207 (2.5920)	Prec@1 37.891 (37.543)	Prec@5 68.359 (67.341)
Epoch: [69][5920/7045]	Time 0.108 (0.258)	Data 0.001 (0.195)	Loss 2.6747 (2.5919)	Prec@1 37.500 (37.543)	Prec@5 65.625 (67.342)
Epoch: [69][5930/7045]	Time 0.100 (0.258)	Data 0.007 (0.195)	Loss 2.3633 (2.5919)	Prec@1 42.969 (37.545)	Prec@5 72.656 (67.344)
Epoch: [69][5940/7045]	Time 0.102 (0.258)	Data 0.003 (0.195)	Loss 2.4943 (2.5920)	Prec@1 37.891 (37.542)	Prec@5 67.969 (67.341)
Epoch: [69][5950/7045]	Time 0.100 (0.258)	Data 0.007 (0.195)	Loss 2.4797 (2.5919)	Prec@1 40.234 (37.543)	Prec@5 68.750 (67.341)
Epoch: [69][5960/7045]	Time 0.102 (0.258)	Data 0.001 (0.195)	Loss 2.6352 (2.5919)	Prec@1 37.500 (37.543)	Prec@5 66.797 (67.341)
Epoch: [69][5970/7045]	Time 0.102 (0.258)	Data 0.049 (0.195)	Loss 2.6518 (2.5920)	Prec@1 37.891 (37.544)	Prec@5 65.625 (67.340)
Epoch: [69][5980/7045]	Time 0.102 (0.258)	Data 0.002 (0.195)	Loss 2.5703 (2.5920)	Prec@1 38.672 (37.545)	Prec@5 69.531 (67.340)
Epoch: [69][5990/7045]	Time 0.108 (0.258)	Data 0.050 (0.195)	Loss 2.7064 (2.5919)	Prec@1 37.891 (37.548)	Prec@5 64.062 (67.339)
Epoch: [69][6000/7045]	Time 0.296 (0.258)	Data 0.244 (0.195)	Loss 2.6734 (2.5919)	Prec@1 40.625 (37.549)	Prec@5 67.969 (67.340)
Epoch: [69][6010/7045]	Time 0.132 (0.258)	Data 0.080 (0.195)	Loss 2.7761 (2.5920)	Prec@1 35.938 (37.548)	Prec@5 61.719 (67.339)
Epoch: [69][6020/7045]	Time 0.545 (0.258)	Data 0.495 (0.195)	Loss 2.6211 (2.5920)	Prec@1 35.547 (37.545)	Prec@5 64.844 (67.338)
Epoch: [69][6030/7045]	Time 0.145 (0.257)	Data 0.086 (0.195)	Loss 2.6385 (2.5919)	Prec@1 34.766 (37.547)	Prec@5 66.406 (67.339)
Epoch: [69][6040/7045]	Time 0.583 (0.258)	Data 0.524 (0.195)	Loss 2.6106 (2.5919)	Prec@1 34.766 (37.546)	Prec@5 65.625 (67.340)
Epoch: [69][6050/7045]	Time 0.215 (0.257)	Data 0.164 (0.195)	Loss 2.5454 (2.5919)	Prec@1 35.547 (37.547)	Prec@5 71.094 (67.342)
Epoch: [69][6060/7045]	Time 0.545 (0.257)	Data 0.494 (0.195)	Loss 2.5716 (2.5919)	Prec@1 39.844 (37.546)	Prec@5 69.141 (67.342)
Epoch: [69][6070/7045]	Time 0.102 (0.257)	Data 0.008 (0.195)	Loss 2.6803 (2.5920)	Prec@1 33.984 (37.544)	Prec@5 67.969 (67.341)
Epoch: [69][6080/7045]	Time 0.567 (0.257)	Data 0.516 (0.195)	Loss 2.4632 (2.5920)	Prec@1 40.234 (37.543)	Prec@5 69.531 (67.341)
Epoch: [69][6090/7045]	Time 0.102 (0.257)	Data 0.001 (0.195)	Loss 2.5773 (2.5920)	Prec@1 37.109 (37.541)	Prec@5 68.359 (67.341)
Epoch: [69][6100/7045]	Time 0.548 (0.257)	Data 0.497 (0.195)	Loss 2.7376 (2.5920)	Prec@1 39.844 (37.541)	Prec@5 65.234 (67.339)
Epoch: [69][6110/7045]	Time 0.102 (0.257)	Data 0.001 (0.195)	Loss 2.7247 (2.5920)	Prec@1 34.375 (37.541)	Prec@5 65.625 (67.341)
Epoch: [69][6120/7045]	Time 0.266 (0.257)	Data 0.213 (0.195)	Loss 2.3173 (2.5920)	Prec@1 43.359 (37.543)	Prec@5 74.609 (67.342)
Epoch: [69][6130/7045]	Time 0.102 (0.257)	Data 0.001 (0.195)	Loss 2.6004 (2.5919)	Prec@1 42.188 (37.545)	Prec@5 66.016 (67.343)
Epoch: [69][6140/7045]	Time 0.112 (0.257)	Data 0.059 (0.195)	Loss 2.6411 (2.5919)	Prec@1 38.281 (37.545)	Prec@5 67.578 (67.344)
Epoch: [69][6150/7045]	Time 0.150 (0.257)	Data 0.098 (0.194)	Loss 2.5145 (2.5918)	Prec@1 40.625 (37.547)	Prec@5 69.922 (67.343)
Epoch: [69][6160/7045]	Time 0.101 (0.257)	Data 0.001 (0.195)	Loss 2.5866 (2.5918)	Prec@1 32.422 (37.547)	Prec@5 68.359 (67.343)
Epoch: [69][6170/7045]	Time 0.331 (0.257)	Data 0.280 (0.194)	Loss 2.5434 (2.5917)	Prec@1 38.672 (37.547)	Prec@5 66.406 (67.345)
Epoch: [69][6180/7045]	Time 0.102 (0.257)	Data 0.001 (0.194)	Loss 2.5720 (2.5917)	Prec@1 38.281 (37.546)	Prec@5 67.969 (67.345)
Epoch: [69][6190/7045]	Time 0.287 (0.257)	Data 0.236 (0.194)	Loss 2.6514 (2.5917)	Prec@1 36.719 (37.546)	Prec@5 69.531 (67.346)
Epoch: [69][6200/7045]	Time 0.152 (0.257)	Data 0.101 (0.194)	Loss 2.4984 (2.5916)	Prec@1 36.719 (37.546)	Prec@5 71.094 (67.347)
Epoch: [69][6210/7045]	Time 0.137 (0.257)	Data 0.085 (0.194)	Loss 2.5933 (2.5915)	Prec@1 37.109 (37.548)	Prec@5 66.406 (67.348)
Epoch: [69][6220/7045]	Time 0.385 (0.257)	Data 0.333 (0.194)	Loss 2.5515 (2.5916)	Prec@1 38.281 (37.548)	Prec@5 64.062 (67.346)
Epoch: [69][6230/7045]	Time 0.102 (0.257)	Data 0.002 (0.194)	Loss 2.6868 (2.5915)	Prec@1 37.500 (37.552)	Prec@5 66.797 (67.349)
Epoch: [69][6240/7045]	Time 0.309 (0.257)	Data 0.257 (0.194)	Loss 2.5964 (2.5914)	Prec@1 38.672 (37.552)	Prec@5 67.578 (67.349)
Epoch: [69][6250/7045]	Time 0.272 (0.257)	Data 0.213 (0.194)	Loss 2.9886 (2.5916)	Prec@1 28.125 (37.550)	Prec@5 62.109 (67.347)
Epoch: [69][6260/7045]	Time 0.361 (0.257)	Data 0.309 (0.194)	Loss 2.4813 (2.5917)	Prec@1 39.844 (37.547)	Prec@5 71.484 (67.346)
Epoch: [69][6270/7045]	Time 0.217 (0.257)	Data 0.166 (0.194)	Loss 2.6038 (2.5917)	Prec@1 39.844 (37.547)	Prec@5 67.578 (67.344)
Epoch: [69][6280/7045]	Time 0.515 (0.257)	Data 0.457 (0.194)	Loss 2.5523 (2.5918)	Prec@1 37.500 (37.545)	Prec@5 67.578 (67.343)
Epoch: [69][6290/7045]	Time 0.149 (0.257)	Data 0.098 (0.194)	Loss 2.5896 (2.5918)	Prec@1 39.062 (37.545)	Prec@5 68.750 (67.342)
Epoch: [69][6300/7045]	Time 0.513 (0.257)	Data 0.454 (0.194)	Loss 2.5396 (2.5917)	Prec@1 39.062 (37.549)	Prec@5 69.531 (67.343)
Epoch: [69][6310/7045]	Time 0.101 (0.257)	Data 0.048 (0.194)	Loss 2.7596 (2.5917)	Prec@1 32.031 (37.547)	Prec@5 64.453 (67.344)
Epoch: [69][6320/7045]	Time 0.446 (0.257)	Data 0.394 (0.194)	Loss 2.7092 (2.5917)	Prec@1 39.062 (37.547)	Prec@5 64.844 (67.344)
Epoch: [69][6330/7045]	Time 0.101 (0.257)	Data 0.001 (0.194)	Loss 2.3718 (2.5917)	Prec@1 41.406 (37.545)	Prec@5 72.266 (67.344)
Epoch: [69][6340/7045]	Time 0.377 (0.257)	Data 0.324 (0.194)	Loss 2.6588 (2.5916)	Prec@1 32.031 (37.545)	Prec@5 66.797 (67.345)
Epoch: [69][6350/7045]	Time 0.157 (0.257)	Data 0.105 (0.194)	Loss 2.7322 (2.5916)	Prec@1 31.641 (37.543)	Prec@5 63.672 (67.345)
Epoch: [69][6360/7045]	Time 0.431 (0.257)	Data 0.379 (0.194)	Loss 2.6897 (2.5917)	Prec@1 35.547 (37.541)	Prec@5 64.844 (67.344)
Epoch: [69][6370/7045]	Time 0.304 (0.257)	Data 0.253 (0.194)	Loss 2.6615 (2.5917)	Prec@1 34.375 (37.541)	Prec@5 67.578 (67.346)
Epoch: [69][6380/7045]	Time 0.454 (0.257)	Data 0.396 (0.194)	Loss 2.5529 (2.5918)	Prec@1 37.500 (37.539)	Prec@5 66.797 (67.344)
Epoch: [69][6390/7045]	Time 0.225 (0.257)	Data 0.174 (0.194)	Loss 2.6724 (2.5917)	Prec@1 35.156 (37.539)	Prec@5 68.359 (67.346)
Epoch: [69][6400/7045]	Time 0.415 (0.257)	Data 0.364 (0.194)	Loss 2.6939 (2.5919)	Prec@1 32.031 (37.536)	Prec@5 64.844 (67.341)
Epoch: [69][6410/7045]	Time 0.308 (0.257)	Data 0.256 (0.194)	Loss 2.7155 (2.5919)	Prec@1 30.469 (37.534)	Prec@5 64.062 (67.340)
Epoch: [69][6420/7045]	Time 0.337 (0.257)	Data 0.285 (0.194)	Loss 2.4987 (2.5919)	Prec@1 35.156 (37.533)	Prec@5 67.969 (67.340)
Epoch: [69][6430/7045]	Time 0.232 (0.257)	Data 0.180 (0.194)	Loss 2.6244 (2.5919)	Prec@1 37.500 (37.533)	Prec@5 64.062 (67.340)
Epoch: [69][6440/7045]	Time 0.311 (0.257)	Data 0.260 (0.194)	Loss 2.9634 (2.5921)	Prec@1 24.609 (37.529)	Prec@5 59.375 (67.336)
Epoch: [69][6450/7045]	Time 0.263 (0.257)	Data 0.212 (0.194)	Loss 2.5110 (2.5921)	Prec@1 35.156 (37.530)	Prec@5 68.359 (67.336)
Epoch: [69][6460/7045]	Time 0.209 (0.257)	Data 0.153 (0.194)	Loss 2.4837 (2.5920)	Prec@1 37.109 (37.531)	Prec@5 70.703 (67.338)
Epoch: [69][6470/7045]	Time 0.466 (0.257)	Data 0.415 (0.194)	Loss 2.5585 (2.5919)	Prec@1 39.844 (37.534)	Prec@5 68.750 (67.340)
Epoch: [69][6480/7045]	Time 0.156 (0.257)	Data 0.105 (0.194)	Loss 2.5862 (2.5920)	Prec@1 36.328 (37.532)	Prec@5 69.531 (67.339)
Epoch: [69][6490/7045]	Time 0.664 (0.257)	Data 0.605 (0.194)	Loss 2.3928 (2.5920)	Prec@1 42.969 (37.533)	Prec@5 71.875 (67.340)
Epoch: [69][6500/7045]	Time 0.105 (0.257)	Data 0.053 (0.194)	Loss 2.5832 (2.5919)	Prec@1 35.547 (37.535)	Prec@5 67.578 (67.341)
Epoch: [69][6510/7045]	Time 0.693 (0.257)	Data 0.635 (0.194)	Loss 2.5077 (2.5919)	Prec@1 40.625 (37.537)	Prec@5 68.359 (67.341)
Epoch: [69][6520/7045]	Time 0.100 (0.257)	Data 0.001 (0.194)	Loss 2.4610 (2.5918)	Prec@1 37.891 (37.539)	Prec@5 68.750 (67.343)
Epoch: [69][6530/7045]	Time 0.642 (0.257)	Data 0.590 (0.194)	Loss 2.7161 (2.5918)	Prec@1 39.453 (37.539)	Prec@5 66.406 (67.342)
Epoch: [69][6540/7045]	Time 0.109 (0.257)	Data 0.001 (0.194)	Loss 2.7565 (2.5919)	Prec@1 31.641 (37.535)	Prec@5 66.016 (67.340)
Epoch: [69][6550/7045]	Time 0.696 (0.257)	Data 0.644 (0.194)	Loss 2.7682 (2.5919)	Prec@1 33.984 (37.536)	Prec@5 66.406 (67.340)
Epoch: [69][6560/7045]	Time 0.103 (0.257)	Data 0.001 (0.194)	Loss 2.8051 (2.5920)	Prec@1 31.641 (37.535)	Prec@5 65.234 (67.339)
Epoch: [69][6570/7045]	Time 0.108 (0.257)	Data 0.056 (0.194)	Loss 2.5937 (2.5920)	Prec@1 37.891 (37.534)	Prec@5 64.453 (67.338)
Epoch: [69][6580/7045]	Time 0.379 (0.257)	Data 0.326 (0.194)	Loss 2.6335 (2.5921)	Prec@1 35.938 (37.532)	Prec@5 66.016 (67.336)
Epoch: [69][6590/7045]	Time 0.189 (0.257)	Data 0.132 (0.194)	Loss 2.5379 (2.5920)	Prec@1 41.016 (37.535)	Prec@5 68.359 (67.337)
Epoch: [69][6600/7045]	Time 0.485 (0.257)	Data 0.433 (0.194)	Loss 2.4585 (2.5920)	Prec@1 39.453 (37.534)	Prec@5 71.484 (67.337)
Epoch: [69][6610/7045]	Time 0.103 (0.256)	Data 0.003 (0.194)	Loss 2.5867 (2.5920)	Prec@1 37.109 (37.534)	Prec@5 67.578 (67.338)
Epoch: [69][6620/7045]	Time 0.102 (0.256)	Data 0.008 (0.194)	Loss 2.4761 (2.5919)	Prec@1 42.188 (37.536)	Prec@5 69.531 (67.338)
Epoch: [69][6630/7045]	Time 0.101 (0.256)	Data 0.045 (0.194)	Loss 2.5205 (2.5920)	Prec@1 40.234 (37.535)	Prec@5 69.531 (67.337)
Epoch: [69][6640/7045]	Time 0.471 (0.257)	Data 0.413 (0.194)	Loss 2.4282 (2.5918)	Prec@1 42.188 (37.540)	Prec@5 69.922 (67.341)
Epoch: [69][6650/7045]	Time 0.129 (0.256)	Data 0.078 (0.194)	Loss 2.5158 (2.5918)	Prec@1 41.406 (37.542)	Prec@5 69.922 (67.340)
Epoch: [69][6660/7045]	Time 0.371 (0.256)	Data 0.313 (0.194)	Loss 2.6642 (2.5918)	Prec@1 35.156 (37.542)	Prec@5 64.844 (67.342)
Epoch: [69][6670/7045]	Time 0.508 (0.256)	Data 0.451 (0.194)	Loss 2.6966 (2.5919)	Prec@1 33.594 (37.540)	Prec@5 66.797 (67.341)
Epoch: [69][6680/7045]	Time 0.139 (0.256)	Data 0.088 (0.194)	Loss 2.6146 (2.5919)	Prec@1 37.891 (37.539)	Prec@5 68.750 (67.340)
Epoch: [69][6690/7045]	Time 0.499 (0.256)	Data 0.449 (0.194)	Loss 2.4997 (2.5920)	Prec@1 39.844 (37.538)	Prec@5 66.406 (67.338)
Epoch: [69][6700/7045]	Time 0.110 (0.256)	Data 0.050 (0.194)	Loss 2.5022 (2.5920)	Prec@1 41.406 (37.538)	Prec@5 67.969 (67.340)
Epoch: [69][6710/7045]	Time 0.687 (0.256)	Data 0.636 (0.194)	Loss 2.5542 (2.5920)	Prec@1 41.016 (37.538)	Prec@5 68.359 (67.341)
Epoch: [69][6720/7045]	Time 0.110 (0.256)	Data 0.059 (0.194)	Loss 2.5148 (2.5919)	Prec@1 44.922 (37.543)	Prec@5 69.141 (67.344)
Epoch: [69][6730/7045]	Time 0.549 (0.256)	Data 0.490 (0.194)	Loss 2.7289 (2.5919)	Prec@1 33.203 (37.542)	Prec@5 64.844 (67.343)
Epoch: [69][6740/7045]	Time 0.238 (0.256)	Data 0.178 (0.194)	Loss 2.6532 (2.5919)	Prec@1 36.719 (37.546)	Prec@5 70.312 (67.346)
Epoch: [69][6750/7045]	Time 0.572 (0.256)	Data 0.516 (0.194)	Loss 2.6230 (2.5918)	Prec@1 39.062 (37.548)	Prec@5 62.891 (67.347)
Epoch: [69][6760/7045]	Time 0.179 (0.256)	Data 0.122 (0.194)	Loss 2.5353 (2.5919)	Prec@1 36.719 (37.546)	Prec@5 67.578 (67.347)
Epoch: [69][6770/7045]	Time 0.498 (0.256)	Data 0.447 (0.194)	Loss 2.5189 (2.5918)	Prec@1 38.281 (37.548)	Prec@5 66.406 (67.350)
Epoch: [69][6780/7045]	Time 0.104 (0.256)	Data 0.051 (0.194)	Loss 2.5757 (2.5918)	Prec@1 36.328 (37.547)	Prec@5 63.672 (67.350)
Epoch: [69][6790/7045]	Time 0.645 (0.256)	Data 0.593 (0.194)	Loss 2.7185 (2.5919)	Prec@1 36.719 (37.546)	Prec@5 62.891 (67.347)
Epoch: [69][6800/7045]	Time 0.105 (0.256)	Data 0.051 (0.193)	Loss 2.4872 (2.5919)	Prec@1 41.797 (37.545)	Prec@5 67.969 (67.345)
Epoch: [69][6810/7045]	Time 0.574 (0.256)	Data 0.523 (0.193)	Loss 2.5296 (2.5919)	Prec@1 39.062 (37.546)	Prec@5 68.750 (67.347)
Epoch: [69][6820/7045]	Time 0.303 (0.256)	Data 0.252 (0.193)	Loss 2.5341 (2.5919)	Prec@1 41.016 (37.547)	Prec@5 67.188 (67.348)
Epoch: [69][6830/7045]	Time 0.248 (0.256)	Data 0.196 (0.193)	Loss 2.5569 (2.5919)	Prec@1 38.281 (37.544)	Prec@5 68.750 (67.348)
Epoch: [69][6840/7045]	Time 0.433 (0.256)	Data 0.382 (0.193)	Loss 2.8363 (2.5919)	Prec@1 33.594 (37.544)	Prec@5 62.109 (67.349)
Epoch: [69][6850/7045]	Time 0.139 (0.256)	Data 0.082 (0.193)	Loss 2.5948 (2.5918)	Prec@1 38.281 (37.546)	Prec@5 69.531 (67.351)
Epoch: [69][6860/7045]	Time 0.690 (0.256)	Data 0.639 (0.193)	Loss 2.5365 (2.5918)	Prec@1 42.969 (37.547)	Prec@5 67.188 (67.351)
Epoch: [69][6870/7045]	Time 0.103 (0.256)	Data 0.051 (0.193)	Loss 2.6506 (2.5918)	Prec@1 35.938 (37.547)	Prec@5 62.500 (67.352)
Epoch: [69][6880/7045]	Time 0.108 (0.256)	Data 0.007 (0.193)	Loss 2.5657 (2.5918)	Prec@1 39.453 (37.545)	Prec@5 71.094 (67.352)
Epoch: [69][6890/7045]	Time 0.104 (0.256)	Data 0.001 (0.193)	Loss 2.7077 (2.5919)	Prec@1 32.031 (37.545)	Prec@5 64.844 (67.350)
Epoch: [69][6900/7045]	Time 0.167 (0.256)	Data 0.116 (0.193)	Loss 2.7993 (2.5920)	Prec@1 32.812 (37.543)	Prec@5 64.453 (67.348)
Epoch: [69][6910/7045]	Time 0.311 (0.256)	Data 0.253 (0.193)	Loss 2.5637 (2.5920)	Prec@1 35.938 (37.543)	Prec@5 69.531 (67.349)
Epoch: [69][6920/7045]	Time 0.259 (0.256)	Data 0.209 (0.193)	Loss 2.6796 (2.5919)	Prec@1 37.891 (37.545)	Prec@5 66.406 (67.349)
Epoch: [69][6930/7045]	Time 0.327 (0.256)	Data 0.276 (0.193)	Loss 2.6315 (2.5919)	Prec@1 38.672 (37.547)	Prec@5 66.016 (67.350)
Epoch: [69][6940/7045]	Time 0.234 (0.256)	Data 0.183 (0.193)	Loss 2.5806 (2.5919)	Prec@1 37.500 (37.547)	Prec@5 66.406 (67.350)
Epoch: [69][6950/7045]	Time 0.103 (0.256)	Data 0.051 (0.193)	Loss 2.8457 (2.5918)	Prec@1 30.859 (37.547)	Prec@5 58.594 (67.350)
Epoch: [69][6960/7045]	Time 0.698 (0.256)	Data 0.647 (0.193)	Loss 2.4667 (2.5918)	Prec@1 40.234 (37.547)	Prec@5 67.578 (67.351)
Epoch: [69][6970/7045]	Time 0.119 (0.256)	Data 0.067 (0.193)	Loss 2.6912 (2.5918)	Prec@1 36.328 (37.546)	Prec@5 67.969 (67.351)
Epoch: [69][6980/7045]	Time 0.472 (0.256)	Data 0.421 (0.193)	Loss 2.6497 (2.5919)	Prec@1 38.281 (37.546)	Prec@5 66.016 (67.349)
Epoch: [69][6990/7045]	Time 0.103 (0.256)	Data 0.007 (0.193)	Loss 2.5502 (2.5920)	Prec@1 41.406 (37.545)	Prec@5 65.625 (67.347)
Epoch: [69][7000/7045]	Time 0.108 (0.256)	Data 0.002 (0.193)	Loss 2.5381 (2.5919)	Prec@1 36.328 (37.545)	Prec@5 68.750 (67.348)
Epoch: [69][7010/7045]	Time 0.102 (0.256)	Data 0.001 (0.193)	Loss 2.5754 (2.5919)	Prec@1 35.938 (37.545)	Prec@5 62.109 (67.347)
Epoch: [69][7020/7045]	Time 0.210 (0.256)	Data 0.153 (0.193)	Loss 2.6785 (2.5919)	Prec@1 37.891 (37.546)	Prec@5 64.453 (67.349)
Epoch: [69][7030/7045]	Time 0.451 (0.256)	Data 0.400 (0.193)	Loss 2.4979 (2.5918)	Prec@1 42.188 (37.548)	Prec@5 67.188 (67.350)
Epoch: [69][7040/7045]	Time 0.240 (0.256)	Data 0.189 (0.193)	Loss 2.5826 (2.5919)	Prec@1 36.328 (37.548)	Prec@5 68.750 (67.348)
Test: [0/143]	Time 1.176 (1.176)	Loss 2.2317 (2.2317)	Prec@1 45.703 (45.703)	Prec@5 75.781 (75.781)
Test: [10/143]	Time 0.058 (0.249)	Loss 1.6894 (2.0471)	Prec@1 60.156 (49.006)	Prec@5 83.203 (78.622)
Test: [20/143]	Time 0.184 (0.220)	Loss 2.1494 (2.0089)	Prec@1 45.312 (48.233)	Prec@5 77.734 (79.427)
Test: [30/143]	Time 0.048 (0.217)	Loss 2.2243 (2.0333)	Prec@1 47.656 (48.085)	Prec@5 69.531 (78.364)
Test: [40/143]	Time 0.273 (0.211)	Loss 2.6433 (2.0760)	Prec@1 28.906 (47.132)	Prec@5 67.969 (77.477)
Test: [50/143]	Time 0.049 (0.202)	Loss 1.9306 (2.1299)	Prec@1 46.094 (45.427)	Prec@5 82.812 (76.861)
Test: [60/143]	Time 0.059 (0.199)	Loss 2.4037 (2.1200)	Prec@1 35.547 (45.645)	Prec@5 73.828 (77.081)
Test: [70/143]	Time 0.220 (0.201)	Loss 2.9568 (2.1090)	Prec@1 25.000 (45.995)	Prec@5 61.328 (77.311)
Test: [80/143]	Time 0.249 (0.197)	Loss 2.1218 (2.1036)	Prec@1 44.141 (46.094)	Prec@5 77.734 (77.464)
Test: [90/143]	Time 0.048 (0.194)	Loss 1.7212 (2.0932)	Prec@1 60.156 (46.338)	Prec@5 85.156 (77.640)
Test: [100/143]	Time 0.195 (0.193)	Loss 1.9649 (2.0928)	Prec@1 53.516 (46.306)	Prec@5 84.766 (77.816)
Test: [110/143]	Time 0.413 (0.194)	Loss 1.8838 (2.0880)	Prec@1 52.734 (46.590)	Prec@5 80.859 (77.928)
Test: [120/143]	Time 0.128 (0.190)	Loss 1.7524 (2.0794)	Prec@1 57.422 (46.862)	Prec@5 85.156 (78.077)
Test: [130/143]	Time 0.172 (0.190)	Loss 1.5777 (2.0887)	Prec@1 64.062 (46.753)	Prec@5 81.641 (77.806)
Test: [140/143]	Time 0.669 (0.192)	Loss 3.1112 (2.1129)	Prec@1 21.094 (46.199)	Prec@5 60.547 (77.363)
 * Prec@1 46.219 Prec@5 77.384
Epoch: [70][0/7045]	Time 2.563 (2.563)	Data 2.507 (2.507)	Loss 2.7992 (2.7992)	Prec@1 35.547 (35.547)	Prec@5 64.062 (64.062)
Epoch: [70][10/7045]	Time 0.110 (0.434)	Data 0.058 (0.366)	Loss 2.7779 (2.5882)	Prec@1 31.250 (37.713)	Prec@5 62.500 (66.477)
Epoch: [70][20/7045]	Time 0.101 (0.348)	Data 0.001 (0.283)	Loss 2.8371 (2.6015)	Prec@1 29.297 (37.388)	Prec@5 64.062 (66.443)
Epoch: [70][30/7045]	Time 0.102 (0.327)	Data 0.001 (0.258)	Loss 2.7095 (2.5813)	Prec@1 37.891 (37.702)	Prec@5 67.969 (66.797)
Epoch: [70][40/7045]	Time 0.101 (0.307)	Data 0.046 (0.241)	Loss 2.4803 (2.5710)	Prec@1 43.750 (38.119)	Prec@5 67.188 (67.073)
Epoch: [70][50/7045]	Time 0.622 (0.303)	Data 0.571 (0.237)	Loss 2.6044 (2.5655)	Prec@1 41.016 (38.205)	Prec@5 67.969 (67.356)
Epoch: [70][60/7045]	Time 0.101 (0.294)	Data 0.001 (0.227)	Loss 2.5210 (2.5656)	Prec@1 38.281 (38.262)	Prec@5 66.797 (67.520)
Epoch: [70][70/7045]	Time 0.641 (0.288)	Data 0.588 (0.219)	Loss 2.5290 (2.5731)	Prec@1 38.281 (38.050)	Prec@5 65.625 (67.430)
Epoch: [70][80/7045]	Time 0.152 (0.280)	Data 0.101 (0.210)	Loss 2.4060 (2.5625)	Prec@1 37.109 (38.185)	Prec@5 69.922 (67.568)
Epoch: [70][90/7045]	Time 0.461 (0.278)	Data 0.405 (0.210)	Loss 2.3947 (2.5694)	Prec@1 43.359 (38.049)	Prec@5 71.094 (67.522)
Epoch: [70][100/7045]	Time 0.183 (0.272)	Data 0.132 (0.205)	Loss 2.5145 (2.5746)	Prec@1 36.719 (37.848)	Prec@5 69.531 (67.474)
Epoch: [70][110/7045]	Time 0.195 (0.272)	Data 0.135 (0.205)	Loss 2.4333 (2.5762)	Prec@1 39.062 (37.852)	Prec@5 70.312 (67.451)
Epoch: [70][120/7045]	Time 0.103 (0.267)	Data 0.008 (0.200)	Loss 2.6637 (2.5786)	Prec@1 39.453 (37.881)	Prec@5 67.188 (67.342)
Epoch: [70][130/7045]	Time 0.110 (0.267)	Data 0.059 (0.200)	Loss 2.3637 (2.5768)	Prec@1 44.531 (37.867)	Prec@5 72.656 (67.447)
Epoch: [70][140/7045]	Time 0.550 (0.266)	Data 0.491 (0.201)	Loss 2.4779 (2.5772)	Prec@1 41.797 (37.838)	Prec@5 69.141 (67.415)
Epoch: [70][150/7045]	Time 0.110 (0.264)	Data 0.001 (0.198)	Loss 2.4196 (2.5722)	Prec@1 40.234 (37.906)	Prec@5 72.266 (67.563)
Epoch: [70][160/7045]	Time 0.479 (0.263)	Data 0.428 (0.198)	Loss 2.4019 (2.5698)	Prec@1 40.625 (37.939)	Prec@5 69.531 (67.627)
Epoch: [70][170/7045]	Time 0.391 (0.262)	Data 0.341 (0.197)	Loss 2.5829 (2.5699)	Prec@1 36.719 (37.923)	Prec@5 68.359 (67.638)
Epoch: [70][180/7045]	Time 0.439 (0.262)	Data 0.388 (0.197)	Loss 2.6017 (2.5667)	Prec@1 37.109 (37.949)	Prec@5 67.969 (67.721)
Epoch: [70][190/7045]	Time 0.193 (0.260)	Data 0.141 (0.195)	Loss 2.7548 (2.5704)	Prec@1 33.984 (37.893)	Prec@5 61.719 (67.652)
Epoch: [70][200/7045]	Time 0.109 (0.260)	Data 0.001 (0.194)	Loss 2.4529 (2.5732)	Prec@1 41.016 (37.830)	Prec@5 66.406 (67.578)
Epoch: [70][210/7045]	Time 0.102 (0.259)	Data 0.002 (0.193)	Loss 2.8915 (2.5728)	Prec@1 31.250 (37.826)	Prec@5 63.672 (67.584)
Epoch: [70][220/7045]	Time 0.102 (0.258)	Data 0.007 (0.192)	Loss 2.6794 (2.5753)	Prec@1 36.719 (37.783)	Prec@5 66.016 (67.548)
Epoch: [70][230/7045]	Time 0.630 (0.259)	Data 0.578 (0.193)	Loss 2.5551 (2.5769)	Prec@1 41.406 (37.777)	Prec@5 69.531 (67.549)
Epoch: [70][240/7045]	Time 0.188 (0.257)	Data 0.138 (0.191)	Loss 2.4895 (2.5772)	Prec@1 40.625 (37.824)	Prec@5 69.531 (67.581)
Epoch: [70][250/7045]	Time 0.480 (0.257)	Data 0.429 (0.191)	Loss 2.5583 (2.5757)	Prec@1 39.844 (37.870)	Prec@5 69.531 (67.631)
Epoch: [70][260/7045]	Time 0.193 (0.256)	Data 0.142 (0.190)	Loss 2.6183 (2.5784)	Prec@1 39.844 (37.838)	Prec@5 66.406 (67.577)
Epoch: [70][270/7045]	Time 0.225 (0.256)	Data 0.168 (0.190)	Loss 2.4423 (2.5777)	Prec@1 41.406 (37.855)	Prec@5 71.875 (67.624)
Epoch: [70][280/7045]	Time 0.102 (0.255)	Data 0.051 (0.189)	Loss 2.4868 (2.5790)	Prec@1 37.109 (37.806)	Prec@5 71.094 (67.589)
Epoch: [70][290/7045]	Time 0.147 (0.255)	Data 0.096 (0.189)	Loss 2.5620 (2.5784)	Prec@1 38.281 (37.833)	Prec@5 66.406 (67.586)
Epoch: [70][300/7045]	Time 0.222 (0.254)	Data 0.172 (0.189)	Loss 2.5155 (2.5766)	Prec@1 38.281 (37.889)	Prec@5 71.094 (67.595)
Epoch: [70][310/7045]	Time 0.185 (0.254)	Data 0.134 (0.189)	Loss 2.6034 (2.5773)	Prec@1 37.109 (37.912)	Prec@5 67.188 (67.591)
Epoch: [70][320/7045]	Time 0.627 (0.255)	Data 0.575 (0.190)	Loss 2.4575 (2.5760)	Prec@1 37.500 (37.945)	Prec@5 67.969 (67.629)
Epoch: [70][330/7045]	Time 0.108 (0.254)	Data 0.010 (0.189)	Loss 2.6902 (2.5765)	Prec@1 35.547 (37.927)	Prec@5 66.016 (67.617)
Epoch: [70][340/7045]	Time 0.424 (0.254)	Data 0.374 (0.189)	Loss 2.5183 (2.5750)	Prec@1 35.547 (37.931)	Prec@5 69.141 (67.659)
Epoch: [70][350/7045]	Time 0.212 (0.253)	Data 0.161 (0.188)	Loss 2.5612 (2.5749)	Prec@1 39.453 (37.923)	Prec@5 69.141 (67.637)
Epoch: [70][360/7045]	Time 0.363 (0.253)	Data 0.311 (0.188)	Loss 2.5540 (2.5765)	Prec@1 35.547 (37.906)	Prec@5 66.406 (67.628)
Epoch: [70][370/7045]	Time 0.118 (0.252)	Data 0.068 (0.188)	Loss 2.5627 (2.5752)	Prec@1 39.453 (37.920)	Prec@5 68.359 (67.654)
Epoch: [70][380/7045]	Time 0.105 (0.252)	Data 0.001 (0.188)	Loss 2.4495 (2.5743)	Prec@1 39.844 (37.928)	Prec@5 72.266 (67.687)
Epoch: [70][390/7045]	Time 0.102 (0.252)	Data 0.001 (0.187)	Loss 2.6517 (2.5755)	Prec@1 35.156 (37.909)	Prec@5 68.750 (67.670)
Epoch: [70][400/7045]	Time 0.399 (0.252)	Data 0.340 (0.188)	Loss 2.8053 (2.5768)	Prec@1 34.766 (37.890)	Prec@5 62.891 (67.626)
Epoch: [70][410/7045]	Time 0.435 (0.252)	Data 0.385 (0.188)	Loss 2.6947 (2.5764)	Prec@1 33.594 (37.868)	Prec@5 66.016 (67.627)
Epoch: [70][420/7045]	Time 0.102 (0.252)	Data 0.001 (0.188)	Loss 2.6003 (2.5762)	Prec@1 37.109 (37.875)	Prec@5 68.359 (67.631)
Epoch: [70][430/7045]	Time 0.190 (0.251)	Data 0.140 (0.187)	Loss 2.4289 (2.5755)	Prec@1 39.844 (37.891)	Prec@5 73.828 (67.654)
Epoch: [70][440/7045]	Time 0.101 (0.251)	Data 0.009 (0.187)	Loss 2.5237 (2.5748)	Prec@1 39.453 (37.915)	Prec@5 69.141 (67.676)
Epoch: [70][450/7045]	Time 0.241 (0.251)	Data 0.188 (0.187)	Loss 2.5226 (2.5758)	Prec@1 35.547 (37.897)	Prec@5 71.484 (67.661)
Epoch: [70][460/7045]	Time 0.103 (0.251)	Data 0.005 (0.186)	Loss 2.5887 (2.5759)	Prec@1 36.328 (37.919)	Prec@5 70.703 (67.663)
Epoch: [70][470/7045]	Time 0.197 (0.251)	Data 0.145 (0.187)	Loss 2.7158 (2.5770)	Prec@1 35.156 (37.886)	Prec@5 70.703 (67.671)
Epoch: [70][480/7045]	Time 0.102 (0.250)	Data 0.001 (0.186)	Loss 2.5625 (2.5764)	Prec@1 40.234 (37.921)	Prec@5 67.969 (67.672)
Epoch: [70][490/7045]	Time 0.226 (0.251)	Data 0.175 (0.186)	Loss 2.4389 (2.5754)	Prec@1 42.578 (37.949)	Prec@5 68.750 (67.672)
Epoch: [70][500/7045]	Time 0.450 (0.251)	Data 0.399 (0.186)	Loss 2.5098 (2.5769)	Prec@1 34.766 (37.902)	Prec@5 68.750 (67.640)
Epoch: [70][510/7045]	Time 0.194 (0.250)	Data 0.144 (0.186)	Loss 2.3955 (2.5768)	Prec@1 41.406 (37.904)	Prec@5 71.875 (67.631)
Epoch: [70][520/7045]	Time 0.614 (0.251)	Data 0.563 (0.186)	Loss 2.6234 (2.5777)	Prec@1 37.500 (37.891)	Prec@5 66.797 (67.612)
Epoch: [70][530/7045]	Time 0.104 (0.250)	Data 0.052 (0.185)	Loss 2.4050 (2.5784)	Prec@1 39.844 (37.894)	Prec@5 67.578 (67.596)
Epoch: [70][540/7045]	Time 0.433 (0.250)	Data 0.382 (0.185)	Loss 2.4086 (2.5784)	Prec@1 42.188 (37.890)	Prec@5 69.922 (67.609)
Epoch: [70][550/7045]	Time 0.101 (0.250)	Data 0.044 (0.185)	Loss 2.6545 (2.5800)	Prec@1 33.984 (37.867)	Prec@5 67.578 (67.582)
Epoch: [70][560/7045]	Time 0.102 (0.250)	Data 0.008 (0.185)	Loss 2.5569 (2.5793)	Prec@1 34.375 (37.867)	Prec@5 66.797 (67.605)
Epoch: [70][570/7045]	Time 0.099 (0.249)	Data 0.045 (0.184)	Loss 2.6279 (2.5800)	Prec@1 33.203 (37.833)	Prec@5 66.016 (67.598)
Epoch: [70][580/7045]	Time 0.333 (0.250)	Data 0.282 (0.185)	Loss 2.8608 (2.5802)	Prec@1 33.984 (37.829)	Prec@5 61.719 (67.600)
Epoch: [70][590/7045]	Time 0.112 (0.249)	Data 0.060 (0.184)	Loss 2.6840 (2.5809)	Prec@1 38.672 (37.811)	Prec@5 64.844 (67.584)
Epoch: [70][600/7045]	Time 0.271 (0.249)	Data 0.221 (0.184)	Loss 2.6608 (2.5808)	Prec@1 37.500 (37.824)	Prec@5 65.625 (67.586)
Epoch: [70][610/7045]	Time 0.423 (0.249)	Data 0.373 (0.184)	Loss 2.3148 (2.5803)	Prec@1 41.406 (37.823)	Prec@5 69.141 (67.589)
Epoch: [70][620/7045]	Time 0.108 (0.249)	Data 0.056 (0.184)	Loss 2.6046 (2.5804)	Prec@1 35.547 (37.817)	Prec@5 64.453 (67.596)
Epoch: [70][630/7045]	Time 0.328 (0.249)	Data 0.276 (0.184)	Loss 2.4594 (2.5799)	Prec@1 38.281 (37.830)	Prec@5 69.141 (67.610)
Epoch: [70][640/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 2.5369 (2.5806)	Prec@1 37.109 (37.819)	Prec@5 69.531 (67.596)
Epoch: [70][650/7045]	Time 0.385 (0.249)	Data 0.334 (0.184)	Loss 2.4573 (2.5803)	Prec@1 39.062 (37.838)	Prec@5 69.531 (67.600)
Epoch: [70][660/7045]	Time 0.109 (0.249)	Data 0.058 (0.184)	Loss 2.5465 (2.5799)	Prec@1 40.234 (37.835)	Prec@5 68.750 (67.601)
Epoch: [70][670/7045]	Time 0.110 (0.249)	Data 0.058 (0.184)	Loss 2.4581 (2.5800)	Prec@1 39.844 (37.825)	Prec@5 68.750 (67.596)
Epoch: [70][680/7045]	Time 0.425 (0.249)	Data 0.376 (0.184)	Loss 2.5975 (2.5798)	Prec@1 39.453 (37.837)	Prec@5 64.453 (67.591)
Epoch: [70][690/7045]	Time 0.431 (0.249)	Data 0.379 (0.184)	Loss 2.4505 (2.5794)	Prec@1 38.672 (37.831)	Prec@5 72.266 (67.596)
Epoch: [70][700/7045]	Time 0.372 (0.249)	Data 0.314 (0.184)	Loss 2.4878 (2.5790)	Prec@1 41.797 (37.846)	Prec@5 70.312 (67.620)
Epoch: [70][710/7045]	Time 0.102 (0.248)	Data 0.046 (0.184)	Loss 2.3177 (2.5793)	Prec@1 41.016 (37.838)	Prec@5 72.656 (67.613)
Epoch: [70][720/7045]	Time 0.101 (0.249)	Data 0.007 (0.184)	Loss 2.3634 (2.5797)	Prec@1 39.844 (37.828)	Prec@5 75.391 (67.606)
Epoch: [70][730/7045]	Time 0.102 (0.248)	Data 0.003 (0.184)	Loss 2.6832 (2.5797)	Prec@1 38.281 (37.827)	Prec@5 66.016 (67.602)
Epoch: [70][740/7045]	Time 0.451 (0.249)	Data 0.392 (0.184)	Loss 2.3894 (2.5794)	Prec@1 40.234 (37.830)	Prec@5 69.531 (67.613)
Epoch: [70][750/7045]	Time 0.111 (0.249)	Data 0.054 (0.184)	Loss 2.4707 (2.5788)	Prec@1 38.281 (37.852)	Prec@5 69.141 (67.618)
Epoch: [70][760/7045]	Time 0.313 (0.248)	Data 0.263 (0.184)	Loss 2.6543 (2.5781)	Prec@1 39.844 (37.852)	Prec@5 68.359 (67.637)
Epoch: [70][770/7045]	Time 0.102 (0.248)	Data 0.010 (0.184)	Loss 2.5975 (2.5777)	Prec@1 39.844 (37.873)	Prec@5 67.969 (67.650)
Epoch: [70][780/7045]	Time 0.107 (0.248)	Data 0.056 (0.184)	Loss 2.8581 (2.5769)	Prec@1 30.859 (37.883)	Prec@5 63.281 (67.665)
Epoch: [70][790/7045]	Time 0.530 (0.249)	Data 0.473 (0.184)	Loss 2.4038 (2.5765)	Prec@1 37.891 (37.883)	Prec@5 71.094 (67.675)
Epoch: [70][800/7045]	Time 0.328 (0.249)	Data 0.277 (0.184)	Loss 2.5861 (2.5758)	Prec@1 35.547 (37.897)	Prec@5 69.531 (67.681)
Epoch: [70][810/7045]	Time 0.399 (0.248)	Data 0.349 (0.184)	Loss 2.5951 (2.5765)	Prec@1 37.109 (37.887)	Prec@5 64.453 (67.658)
Epoch: [70][820/7045]	Time 0.267 (0.248)	Data 0.216 (0.184)	Loss 2.4967 (2.5765)	Prec@1 38.672 (37.880)	Prec@5 68.359 (67.652)
Epoch: [70][830/7045]	Time 0.267 (0.248)	Data 0.217 (0.184)	Loss 2.2574 (2.5772)	Prec@1 40.625 (37.858)	Prec@5 76.562 (67.629)
Epoch: [70][840/7045]	Time 0.111 (0.248)	Data 0.058 (0.184)	Loss 2.6184 (2.5774)	Prec@1 36.328 (37.861)	Prec@5 69.922 (67.631)
Epoch: [70][850/7045]	Time 0.156 (0.248)	Data 0.104 (0.184)	Loss 2.8313 (2.5780)	Prec@1 32.422 (37.861)	Prec@5 61.719 (67.619)
Epoch: [70][860/7045]	Time 0.308 (0.248)	Data 0.257 (0.184)	Loss 2.5484 (2.5780)	Prec@1 39.062 (37.853)	Prec@5 69.922 (67.609)
Epoch: [70][870/7045]	Time 0.127 (0.248)	Data 0.076 (0.184)	Loss 2.6818 (2.5784)	Prec@1 35.547 (37.844)	Prec@5 67.578 (67.599)
Epoch: [70][880/7045]	Time 0.382 (0.248)	Data 0.331 (0.184)	Loss 2.5701 (2.5787)	Prec@1 39.062 (37.837)	Prec@5 65.625 (67.591)
Epoch: [70][890/7045]	Time 0.255 (0.248)	Data 0.204 (0.184)	Loss 2.5372 (2.5784)	Prec@1 37.109 (37.841)	Prec@5 68.359 (67.607)
Epoch: [70][900/7045]	Time 0.114 (0.248)	Data 0.062 (0.184)	Loss 2.5063 (2.5779)	Prec@1 38.281 (37.852)	Prec@5 68.359 (67.624)
Epoch: [70][910/7045]	Time 0.101 (0.248)	Data 0.002 (0.184)	Loss 2.5595 (2.5778)	Prec@1 37.109 (37.847)	Prec@5 67.578 (67.625)
Epoch: [70][920/7045]	Time 0.108 (0.248)	Data 0.005 (0.184)	Loss 2.4761 (2.5781)	Prec@1 37.500 (37.844)	Prec@5 71.875 (67.627)
Epoch: [70][930/7045]	Time 0.101 (0.248)	Data 0.001 (0.184)	Loss 2.6651 (2.5786)	Prec@1 34.766 (37.826)	Prec@5 65.625 (67.621)
Epoch: [70][940/7045]	Time 0.102 (0.248)	Data 0.004 (0.184)	Loss 2.6090 (2.5787)	Prec@1 36.328 (37.827)	Prec@5 68.359 (67.621)
Epoch: [70][950/7045]	Time 0.282 (0.248)	Data 0.231 (0.184)	Loss 2.6009 (2.5786)	Prec@1 39.453 (37.836)	Prec@5 66.016 (67.631)
Epoch: [70][960/7045]	Time 0.102 (0.248)	Data 0.005 (0.183)	Loss 2.3575 (2.5783)	Prec@1 42.188 (37.838)	Prec@5 69.922 (67.635)
Epoch: [70][970/7045]	Time 0.219 (0.248)	Data 0.163 (0.184)	Loss 2.5104 (2.5782)	Prec@1 36.719 (37.832)	Prec@5 67.969 (67.636)
Epoch: [70][980/7045]	Time 0.106 (0.248)	Data 0.054 (0.183)	Loss 2.6424 (2.5789)	Prec@1 32.812 (37.817)	Prec@5 67.578 (67.620)
Epoch: [70][990/7045]	Time 0.108 (0.248)	Data 0.001 (0.183)	Loss 2.5007 (2.5782)	Prec@1 40.234 (37.821)	Prec@5 69.922 (67.636)
Epoch: [70][1000/7045]	Time 0.138 (0.248)	Data 0.087 (0.183)	Loss 2.5398 (2.5791)	Prec@1 38.672 (37.804)	Prec@5 67.578 (67.615)
Epoch: [70][1010/7045]	Time 0.103 (0.248)	Data 0.013 (0.183)	Loss 2.5416 (2.5788)	Prec@1 42.578 (37.820)	Prec@5 68.750 (67.619)
Epoch: [70][1020/7045]	Time 0.344 (0.248)	Data 0.292 (0.183)	Loss 2.8024 (2.5795)	Prec@1 35.938 (37.806)	Prec@5 65.234 (67.612)
Epoch: [70][1030/7045]	Time 0.101 (0.248)	Data 0.001 (0.183)	Loss 2.5279 (2.5796)	Prec@1 39.844 (37.802)	Prec@5 68.359 (67.604)
Epoch: [70][1040/7045]	Time 0.288 (0.248)	Data 0.236 (0.183)	Loss 2.4517 (2.5798)	Prec@1 40.234 (37.806)	Prec@5 72.266 (67.613)
Epoch: [70][1050/7045]	Time 0.324 (0.248)	Data 0.271 (0.183)	Loss 2.4037 (2.5798)	Prec@1 40.234 (37.801)	Prec@5 68.750 (67.607)
Epoch: [70][1060/7045]	Time 0.102 (0.248)	Data 0.051 (0.183)	Loss 2.3381 (2.5793)	Prec@1 45.312 (37.821)	Prec@5 74.609 (67.627)
Epoch: [70][1070/7045]	Time 0.578 (0.248)	Data 0.525 (0.183)	Loss 2.7566 (2.5792)	Prec@1 34.766 (37.816)	Prec@5 62.109 (67.632)
Epoch: [70][1080/7045]	Time 0.101 (0.248)	Data 0.001 (0.183)	Loss 2.6931 (2.5791)	Prec@1 37.500 (37.827)	Prec@5 68.750 (67.637)
Epoch: [70][1090/7045]	Time 0.636 (0.248)	Data 0.584 (0.183)	Loss 2.6488 (2.5793)	Prec@1 35.938 (37.820)	Prec@5 66.406 (67.636)
Epoch: [70][1100/7045]	Time 0.369 (0.248)	Data 0.319 (0.183)	Loss 2.6820 (2.5793)	Prec@1 34.766 (37.819)	Prec@5 64.062 (67.640)
Epoch: [70][1110/7045]	Time 0.306 (0.248)	Data 0.255 (0.183)	Loss 2.7754 (2.5799)	Prec@1 32.812 (37.804)	Prec@5 64.062 (67.626)
Epoch: [70][1120/7045]	Time 0.204 (0.247)	Data 0.152 (0.182)	Loss 2.6557 (2.5803)	Prec@1 38.281 (37.798)	Prec@5 66.797 (67.610)
Epoch: [70][1130/7045]	Time 0.111 (0.247)	Data 0.059 (0.182)	Loss 2.7596 (2.5808)	Prec@1 33.594 (37.786)	Prec@5 65.625 (67.599)
Epoch: [70][1140/7045]	Time 0.111 (0.247)	Data 0.059 (0.182)	Loss 2.6250 (2.5806)	Prec@1 35.547 (37.790)	Prec@5 65.625 (67.603)
Epoch: [70][1150/7045]	Time 0.181 (0.247)	Data 0.131 (0.182)	Loss 2.4403 (2.5803)	Prec@1 37.109 (37.788)	Prec@5 71.875 (67.618)
Epoch: [70][1160/7045]	Time 0.100 (0.247)	Data 0.001 (0.182)	Loss 2.5645 (2.5801)	Prec@1 37.891 (37.795)	Prec@5 67.969 (67.619)
Epoch: [70][1170/7045]	Time 0.129 (0.247)	Data 0.077 (0.182)	Loss 2.7091 (2.5804)	Prec@1 36.328 (37.809)	Prec@5 64.453 (67.598)
Epoch: [70][1180/7045]	Time 0.157 (0.247)	Data 0.107 (0.182)	Loss 2.6733 (2.5804)	Prec@1 32.812 (37.808)	Prec@5 67.969 (67.599)
Epoch: [70][1190/7045]	Time 0.102 (0.247)	Data 0.001 (0.182)	Loss 2.5571 (2.5806)	Prec@1 37.109 (37.806)	Prec@5 69.141 (67.597)
Epoch: [70][1200/7045]	Time 0.444 (0.247)	Data 0.392 (0.183)	Loss 2.4757 (2.5801)	Prec@1 39.844 (37.813)	Prec@5 69.922 (67.606)
Epoch: [70][1210/7045]	Time 0.102 (0.247)	Data 0.007 (0.182)	Loss 2.7681 (2.5804)	Prec@1 33.984 (37.809)	Prec@5 64.844 (67.597)
Epoch: [70][1220/7045]	Time 0.231 (0.247)	Data 0.178 (0.182)	Loss 2.7027 (2.5807)	Prec@1 40.625 (37.812)	Prec@5 64.453 (67.595)
Epoch: [70][1230/7045]	Time 0.483 (0.247)	Data 0.432 (0.182)	Loss 2.6014 (2.5810)	Prec@1 37.500 (37.806)	Prec@5 65.234 (67.591)
Epoch: [70][1240/7045]	Time 0.102 (0.247)	Data 0.001 (0.182)	Loss 2.6459 (2.5802)	Prec@1 34.766 (37.816)	Prec@5 65.625 (67.600)
Epoch: [70][1250/7045]	Time 0.291 (0.247)	Data 0.238 (0.182)	Loss 2.5079 (2.5800)	Prec@1 39.844 (37.810)	Prec@5 68.750 (67.602)
Epoch: [70][1260/7045]	Time 0.434 (0.247)	Data 0.382 (0.182)	Loss 2.4306 (2.5803)	Prec@1 38.672 (37.805)	Prec@5 71.094 (67.598)
Epoch: [70][1270/7045]	Time 0.102 (0.247)	Data 0.009 (0.182)	Loss 2.7464 (2.5805)	Prec@1 33.984 (37.809)	Prec@5 64.453 (67.599)
Epoch: [70][1280/7045]	Time 0.529 (0.248)	Data 0.478 (0.182)	Loss 2.6774 (2.5807)	Prec@1 32.422 (37.801)	Prec@5 68.359 (67.599)
Epoch: [70][1290/7045]	Time 0.201 (0.247)	Data 0.149 (0.182)	Loss 2.3765 (2.5803)	Prec@1 39.844 (37.804)	Prec@5 75.000 (67.610)
Epoch: [70][1300/7045]	Time 0.276 (0.247)	Data 0.226 (0.182)	Loss 2.6496 (2.5808)	Prec@1 36.719 (37.794)	Prec@5 66.797 (67.598)
Epoch: [70][1310/7045]	Time 0.345 (0.247)	Data 0.295 (0.182)	Loss 2.5455 (2.5810)	Prec@1 39.844 (37.790)	Prec@5 70.312 (67.591)
Epoch: [70][1320/7045]	Time 0.247 (0.247)	Data 0.196 (0.182)	Loss 2.5253 (2.5811)	Prec@1 40.234 (37.782)	Prec@5 72.656 (67.594)
Epoch: [70][1330/7045]	Time 0.525 (0.247)	Data 0.473 (0.182)	Loss 2.5418 (2.5812)	Prec@1 39.453 (37.778)	Prec@5 68.359 (67.599)
Epoch: [70][1340/7045]	Time 0.145 (0.247)	Data 0.092 (0.182)	Loss 2.6503 (2.5812)	Prec@1 36.719 (37.776)	Prec@5 71.484 (67.601)
Epoch: [70][1350/7045]	Time 0.649 (0.247)	Data 0.596 (0.182)	Loss 2.7147 (2.5810)	Prec@1 36.328 (37.783)	Prec@5 66.406 (67.612)
Epoch: [70][1360/7045]	Time 0.136 (0.247)	Data 0.083 (0.182)	Loss 2.6217 (2.5812)	Prec@1 36.719 (37.784)	Prec@5 69.141 (67.620)
Epoch: [70][1370/7045]	Time 0.452 (0.247)	Data 0.401 (0.182)	Loss 2.6503 (2.5813)	Prec@1 38.672 (37.786)	Prec@5 68.359 (67.617)
Epoch: [70][1380/7045]	Time 0.380 (0.247)	Data 0.329 (0.182)	Loss 2.4715 (2.5811)	Prec@1 38.281 (37.782)	Prec@5 71.484 (67.618)
Epoch: [70][1390/7045]	Time 0.268 (0.247)	Data 0.216 (0.182)	Loss 2.5109 (2.5814)	Prec@1 38.281 (37.778)	Prec@5 71.094 (67.612)
Epoch: [70][1400/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 2.5551 (2.5816)	Prec@1 35.938 (37.777)	Prec@5 66.797 (67.612)
Epoch: [70][1410/7045]	Time 0.623 (0.248)	Data 0.572 (0.183)	Loss 2.4896 (2.5817)	Prec@1 40.234 (37.772)	Prec@5 70.312 (67.605)
Epoch: [70][1420/7045]	Time 0.102 (0.248)	Data 0.010 (0.182)	Loss 2.6592 (2.5814)	Prec@1 38.672 (37.771)	Prec@5 65.234 (67.604)
Epoch: [70][1430/7045]	Time 0.215 (0.248)	Data 0.164 (0.182)	Loss 2.6336 (2.5819)	Prec@1 39.453 (37.771)	Prec@5 67.969 (67.596)
Epoch: [70][1440/7045]	Time 0.101 (0.248)	Data 0.008 (0.182)	Loss 2.6424 (2.5816)	Prec@1 37.891 (37.773)	Prec@5 66.797 (67.603)
Epoch: [70][1450/7045]	Time 0.322 (0.248)	Data 0.270 (0.183)	Loss 2.7181 (2.5817)	Prec@1 35.156 (37.773)	Prec@5 64.844 (67.595)
Epoch: [70][1460/7045]	Time 0.282 (0.248)	Data 0.231 (0.183)	Loss 2.7160 (2.5816)	Prec@1 36.719 (37.773)	Prec@5 66.797 (67.596)
Epoch: [70][1470/7045]	Time 0.758 (0.248)	Data 0.707 (0.183)	Loss 2.4947 (2.5819)	Prec@1 37.109 (37.766)	Prec@5 69.141 (67.589)
Epoch: [70][1480/7045]	Time 0.109 (0.248)	Data 0.001 (0.183)	Loss 2.6334 (2.5818)	Prec@1 34.766 (37.766)	Prec@5 65.625 (67.581)
Epoch: [70][1490/7045]	Time 0.450 (0.248)	Data 0.400 (0.183)	Loss 2.7143 (2.5819)	Prec@1 35.547 (37.764)	Prec@5 65.625 (67.578)
Epoch: [70][1500/7045]	Time 0.153 (0.248)	Data 0.102 (0.183)	Loss 2.6473 (2.5817)	Prec@1 39.453 (37.770)	Prec@5 65.234 (67.577)
Epoch: [70][1510/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 2.5592 (2.5815)	Prec@1 37.109 (37.777)	Prec@5 66.797 (67.577)
Epoch: [70][1520/7045]	Time 0.157 (0.248)	Data 0.106 (0.183)	Loss 2.6194 (2.5818)	Prec@1 35.938 (37.760)	Prec@5 64.062 (67.573)
Epoch: [70][1530/7045]	Time 0.102 (0.248)	Data 0.047 (0.183)	Loss 2.5883 (2.5816)	Prec@1 39.844 (37.767)	Prec@5 65.625 (67.573)
Epoch: [70][1540/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 2.7381 (2.5816)	Prec@1 33.984 (37.755)	Prec@5 60.938 (67.564)
Epoch: [70][1550/7045]	Time 0.311 (0.248)	Data 0.259 (0.183)	Loss 2.7383 (2.5818)	Prec@1 35.938 (37.747)	Prec@5 65.234 (67.563)
Epoch: [70][1560/7045]	Time 0.100 (0.248)	Data 0.043 (0.183)	Loss 2.4877 (2.5818)	Prec@1 36.328 (37.746)	Prec@5 67.188 (67.567)
Epoch: [70][1570/7045]	Time 0.120 (0.248)	Data 0.059 (0.183)	Loss 2.8384 (2.5821)	Prec@1 33.984 (37.743)	Prec@5 64.453 (67.565)
Epoch: [70][1580/7045]	Time 0.103 (0.248)	Data 0.048 (0.183)	Loss 2.7846 (2.5823)	Prec@1 33.203 (37.731)	Prec@5 63.672 (67.562)
Epoch: [70][1590/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 2.7478 (2.5819)	Prec@1 32.422 (37.737)	Prec@5 63.281 (67.564)
Epoch: [70][1600/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 2.5699 (2.5822)	Prec@1 31.641 (37.732)	Prec@5 69.141 (67.550)
Epoch: [70][1610/7045]	Time 0.111 (0.248)	Data 0.059 (0.183)	Loss 2.6171 (2.5826)	Prec@1 39.062 (37.728)	Prec@5 68.750 (67.537)
Epoch: [70][1620/7045]	Time 0.097 (0.248)	Data 0.001 (0.183)	Loss 2.6269 (2.5825)	Prec@1 38.281 (37.728)	Prec@5 69.141 (67.539)
Epoch: [70][1630/7045]	Time 0.336 (0.248)	Data 0.284 (0.183)	Loss 2.7169 (2.5826)	Prec@1 35.938 (37.725)	Prec@5 63.281 (67.542)
Epoch: [70][1640/7045]	Time 0.102 (0.248)	Data 0.003 (0.183)	Loss 2.8818 (2.5829)	Prec@1 32.031 (37.719)	Prec@5 61.328 (67.534)
Epoch: [70][1650/7045]	Time 0.652 (0.248)	Data 0.593 (0.183)	Loss 2.6980 (2.5828)	Prec@1 34.766 (37.722)	Prec@5 61.719 (67.532)
Epoch: [70][1660/7045]	Time 0.102 (0.248)	Data 0.001 (0.182)	Loss 2.5480 (2.5827)	Prec@1 41.797 (37.728)	Prec@5 65.234 (67.530)
Epoch: [70][1670/7045]	Time 0.578 (0.248)	Data 0.525 (0.182)	Loss 2.7078 (2.5825)	Prec@1 37.891 (37.736)	Prec@5 64.062 (67.535)
Epoch: [70][1680/7045]	Time 0.102 (0.248)	Data 0.001 (0.182)	Loss 2.6989 (2.5829)	Prec@1 32.031 (37.730)	Prec@5 67.578 (67.529)
Epoch: [70][1690/7045]	Time 0.109 (0.248)	Data 0.011 (0.182)	Loss 2.6983 (2.5828)	Prec@1 35.156 (37.729)	Prec@5 63.672 (67.521)
Epoch: [70][1700/7045]	Time 0.102 (0.248)	Data 0.001 (0.182)	Loss 2.6938 (2.5828)	Prec@1 36.328 (37.722)	Prec@5 66.797 (67.528)
Epoch: [70][1710/7045]	Time 0.103 (0.248)	Data 0.006 (0.182)	Loss 2.4124 (2.5828)	Prec@1 40.625 (37.727)	Prec@5 70.312 (67.527)
Epoch: [70][1720/7045]	Time 0.148 (0.248)	Data 0.096 (0.182)	Loss 2.4958 (2.5826)	Prec@1 38.672 (37.730)	Prec@5 66.797 (67.527)
Epoch: [70][1730/7045]	Time 0.103 (0.248)	Data 0.001 (0.182)	Loss 2.5813 (2.5828)	Prec@1 40.625 (37.726)	Prec@5 66.016 (67.521)
Epoch: [70][1740/7045]	Time 0.357 (0.248)	Data 0.305 (0.182)	Loss 2.6547 (2.5829)	Prec@1 35.938 (37.724)	Prec@5 67.188 (67.519)
Epoch: [70][1750/7045]	Time 0.104 (0.248)	Data 0.010 (0.181)	Loss 2.7174 (2.5831)	Prec@1 35.156 (37.721)	Prec@5 64.844 (67.514)
Epoch: [70][1760/7045]	Time 0.840 (0.248)	Data 0.788 (0.182)	Loss 2.5640 (2.5828)	Prec@1 39.453 (37.731)	Prec@5 68.750 (67.521)
Epoch: [70][1770/7045]	Time 0.109 (0.248)	Data 0.001 (0.181)	Loss 2.5922 (2.5830)	Prec@1 36.719 (37.729)	Prec@5 66.406 (67.519)
Epoch: [70][1780/7045]	Time 0.564 (0.248)	Data 0.512 (0.181)	Loss 2.4792 (2.5830)	Prec@1 35.156 (37.727)	Prec@5 67.969 (67.516)
Epoch: [70][1790/7045]	Time 0.103 (0.248)	Data 0.001 (0.181)	Loss 2.6322 (2.5828)	Prec@1 37.891 (37.733)	Prec@5 65.625 (67.518)
Epoch: [70][1800/7045]	Time 0.275 (0.248)	Data 0.223 (0.181)	Loss 2.8478 (2.5827)	Prec@1 32.031 (37.734)	Prec@5 62.891 (67.515)
Epoch: [70][1810/7045]	Time 0.102 (0.247)	Data 0.001 (0.181)	Loss 2.5242 (2.5826)	Prec@1 37.891 (37.736)	Prec@5 66.797 (67.517)
Epoch: [70][1820/7045]	Time 0.104 (0.248)	Data 0.008 (0.181)	Loss 2.5711 (2.5824)	Prec@1 37.109 (37.740)	Prec@5 65.234 (67.521)
Epoch: [70][1830/7045]	Time 0.375 (0.247)	Data 0.324 (0.181)	Loss 2.7421 (2.5825)	Prec@1 34.375 (37.735)	Prec@5 63.672 (67.524)
Epoch: [70][1840/7045]	Time 0.102 (0.247)	Data 0.002 (0.181)	Loss 2.5617 (2.5825)	Prec@1 36.328 (37.747)	Prec@5 67.969 (67.524)
Epoch: [70][1850/7045]	Time 0.537 (0.248)	Data 0.479 (0.181)	Loss 2.5436 (2.5824)	Prec@1 41.016 (37.746)	Prec@5 69.531 (67.527)
Epoch: [70][1860/7045]	Time 0.102 (0.247)	Data 0.001 (0.180)	Loss 2.7854 (2.5824)	Prec@1 35.938 (37.749)	Prec@5 64.453 (67.531)
Epoch: [70][1870/7045]	Time 0.229 (0.247)	Data 0.174 (0.181)	Loss 2.6919 (2.5824)	Prec@1 32.812 (37.751)	Prec@5 65.625 (67.529)
Epoch: [70][1880/7045]	Time 0.102 (0.247)	Data 0.001 (0.180)	Loss 2.4825 (2.5823)	Prec@1 38.672 (37.753)	Prec@5 69.531 (67.530)
Epoch: [70][1890/7045]	Time 0.147 (0.247)	Data 0.096 (0.180)	Loss 2.7066 (2.5824)	Prec@1 36.719 (37.749)	Prec@5 64.062 (67.523)
Epoch: [70][1900/7045]	Time 0.281 (0.247)	Data 0.229 (0.180)	Loss 2.7685 (2.5827)	Prec@1 30.078 (37.743)	Prec@5 67.188 (67.519)
Epoch: [70][1910/7045]	Time 0.101 (0.247)	Data 0.007 (0.180)	Loss 2.5844 (2.5824)	Prec@1 37.109 (37.744)	Prec@5 68.359 (67.526)
Epoch: [70][1920/7045]	Time 0.710 (0.248)	Data 0.660 (0.180)	Loss 2.5493 (2.5826)	Prec@1 37.500 (37.739)	Prec@5 69.922 (67.525)
Epoch: [70][1930/7045]	Time 0.109 (0.247)	Data 0.001 (0.180)	Loss 2.4649 (2.5825)	Prec@1 37.109 (37.745)	Prec@5 69.531 (67.526)
Epoch: [70][1940/7045]	Time 0.508 (0.247)	Data 0.456 (0.180)	Loss 2.6264 (2.5828)	Prec@1 35.156 (37.741)	Prec@5 67.578 (67.518)
Epoch: [70][1950/7045]	Time 0.408 (0.247)	Data 0.357 (0.180)	Loss 2.6194 (2.5825)	Prec@1 34.375 (37.749)	Prec@5 66.797 (67.521)
Epoch: [70][1960/7045]	Time 0.265 (0.247)	Data 0.213 (0.180)	Loss 2.8108 (2.5823)	Prec@1 34.766 (37.746)	Prec@5 61.328 (67.527)
Epoch: [70][1970/7045]	Time 0.610 (0.247)	Data 0.552 (0.180)	Loss 2.6820 (2.5825)	Prec@1 32.812 (37.738)	Prec@5 65.625 (67.524)
Epoch: [70][1980/7045]	Time 0.102 (0.247)	Data 0.006 (0.180)	Loss 2.6450 (2.5823)	Prec@1 37.891 (37.739)	Prec@5 64.844 (67.529)
Epoch: [70][1990/7045]	Time 0.324 (0.247)	Data 0.274 (0.180)	Loss 2.6620 (2.5826)	Prec@1 39.453 (37.736)	Prec@5 65.625 (67.529)
Epoch: [70][2000/7045]	Time 0.230 (0.247)	Data 0.179 (0.180)	Loss 2.6232 (2.5826)	Prec@1 37.109 (37.736)	Prec@5 65.234 (67.526)
Epoch: [70][2010/7045]	Time 0.168 (0.247)	Data 0.117 (0.180)	Loss 2.8310 (2.5825)	Prec@1 32.812 (37.730)	Prec@5 63.672 (67.529)
Epoch: [70][2020/7045]	Time 0.106 (0.247)	Data 0.054 (0.180)	Loss 2.5313 (2.5825)	Prec@1 39.062 (37.727)	Prec@5 69.531 (67.528)
Epoch: [70][2030/7045]	Time 0.174 (0.247)	Data 0.122 (0.180)	Loss 2.6089 (2.5825)	Prec@1 39.062 (37.724)	Prec@5 68.750 (67.530)
Epoch: [70][2040/7045]	Time 0.158 (0.247)	Data 0.107 (0.180)	Loss 2.6470 (2.5827)	Prec@1 37.891 (37.724)	Prec@5 66.406 (67.524)
Epoch: [70][2050/7045]	Time 0.114 (0.247)	Data 0.001 (0.180)	Loss 2.6612 (2.5828)	Prec@1 39.062 (37.723)	Prec@5 63.281 (67.519)
Epoch: [70][2060/7045]	Time 0.427 (0.247)	Data 0.376 (0.180)	Loss 2.7802 (2.5829)	Prec@1 31.250 (37.720)	Prec@5 64.844 (67.522)
Epoch: [70][2070/7045]	Time 0.102 (0.247)	Data 0.004 (0.180)	Loss 2.5255 (2.5832)	Prec@1 37.891 (37.714)	Prec@5 69.141 (67.517)
Epoch: [70][2080/7045]	Time 0.643 (0.247)	Data 0.582 (0.180)	Loss 2.6925 (2.5831)	Prec@1 33.203 (37.717)	Prec@5 66.797 (67.519)
Epoch: [70][2090/7045]	Time 0.102 (0.247)	Data 0.006 (0.180)	Loss 2.6233 (2.5829)	Prec@1 39.453 (37.713)	Prec@5 64.453 (67.529)
Epoch: [70][2100/7045]	Time 0.409 (0.247)	Data 0.359 (0.180)	Loss 2.4938 (2.5828)	Prec@1 36.328 (37.710)	Prec@5 69.531 (67.531)
Epoch: [70][2110/7045]	Time 0.162 (0.247)	Data 0.111 (0.180)	Loss 2.6138 (2.5826)	Prec@1 33.203 (37.709)	Prec@5 66.406 (67.539)
Epoch: [70][2120/7045]	Time 0.264 (0.247)	Data 0.212 (0.180)	Loss 2.6527 (2.5827)	Prec@1 34.766 (37.711)	Prec@5 69.531 (67.541)
Epoch: [70][2130/7045]	Time 0.372 (0.247)	Data 0.320 (0.180)	Loss 2.6763 (2.5826)	Prec@1 33.594 (37.710)	Prec@5 67.188 (67.546)
Epoch: [70][2140/7045]	Time 0.118 (0.247)	Data 0.065 (0.180)	Loss 2.8318 (2.5830)	Prec@1 29.688 (37.705)	Prec@5 60.938 (67.533)
Epoch: [70][2150/7045]	Time 0.229 (0.247)	Data 0.178 (0.181)	Loss 2.5936 (2.5832)	Prec@1 37.109 (37.701)	Prec@5 68.750 (67.535)
Epoch: [70][2160/7045]	Time 0.117 (0.247)	Data 0.065 (0.180)	Loss 2.6043 (2.5832)	Prec@1 37.891 (37.704)	Prec@5 67.969 (67.533)
Epoch: [70][2170/7045]	Time 0.221 (0.247)	Data 0.169 (0.181)	Loss 2.5042 (2.5830)	Prec@1 36.719 (37.704)	Prec@5 72.266 (67.540)
Epoch: [70][2180/7045]	Time 0.286 (0.247)	Data 0.235 (0.180)	Loss 2.6457 (2.5832)	Prec@1 34.766 (37.693)	Prec@5 65.625 (67.539)
Epoch: [70][2190/7045]	Time 0.162 (0.247)	Data 0.104 (0.181)	Loss 2.4418 (2.5831)	Prec@1 39.453 (37.691)	Prec@5 69.141 (67.536)
Epoch: [70][2200/7045]	Time 0.577 (0.247)	Data 0.518 (0.181)	Loss 2.7604 (2.5832)	Prec@1 36.719 (37.691)	Prec@5 60.547 (67.533)
Epoch: [70][2210/7045]	Time 0.102 (0.247)	Data 0.001 (0.181)	Loss 2.6290 (2.5831)	Prec@1 35.547 (37.696)	Prec@5 64.453 (67.535)
Epoch: [70][2220/7045]	Time 0.591 (0.247)	Data 0.539 (0.181)	Loss 2.6075 (2.5831)	Prec@1 38.672 (37.695)	Prec@5 66.016 (67.533)
Epoch: [70][2230/7045]	Time 0.099 (0.247)	Data 0.001 (0.180)	Loss 2.7081 (2.5831)	Prec@1 35.938 (37.696)	Prec@5 66.797 (67.539)
Epoch: [70][2240/7045]	Time 0.532 (0.247)	Data 0.474 (0.181)	Loss 2.4798 (2.5831)	Prec@1 40.234 (37.696)	Prec@5 68.750 (67.538)
Epoch: [70][2250/7045]	Time 0.101 (0.247)	Data 0.005 (0.180)	Loss 2.5783 (2.5832)	Prec@1 37.109 (37.694)	Prec@5 66.797 (67.539)
Epoch: [70][2260/7045]	Time 0.101 (0.247)	Data 0.001 (0.181)	Loss 2.4418 (2.5832)	Prec@1 39.844 (37.699)	Prec@5 69.141 (67.537)
Epoch: [70][2270/7045]	Time 0.102 (0.247)	Data 0.001 (0.180)	Loss 2.5422 (2.5833)	Prec@1 35.938 (37.693)	Prec@5 69.141 (67.538)
Epoch: [70][2280/7045]	Time 0.108 (0.247)	Data 0.056 (0.180)	Loss 2.6603 (2.5836)	Prec@1 38.672 (37.690)	Prec@5 64.453 (67.530)
Epoch: [70][2290/7045]	Time 0.201 (0.247)	Data 0.151 (0.180)	Loss 2.5014 (2.5834)	Prec@1 37.500 (37.695)	Prec@5 68.750 (67.530)
Epoch: [70][2300/7045]	Time 0.104 (0.247)	Data 0.053 (0.180)	Loss 2.7181 (2.5831)	Prec@1 34.766 (37.699)	Prec@5 63.281 (67.539)
Epoch: [70][2310/7045]	Time 0.450 (0.247)	Data 0.399 (0.180)	Loss 2.5697 (2.5833)	Prec@1 36.719 (37.694)	Prec@5 66.797 (67.534)
Epoch: [70][2320/7045]	Time 0.148 (0.247)	Data 0.096 (0.180)	Loss 2.5956 (2.5832)	Prec@1 38.281 (37.694)	Prec@5 66.016 (67.539)
Epoch: [70][2330/7045]	Time 0.639 (0.247)	Data 0.583 (0.180)	Loss 2.6844 (2.5834)	Prec@1 33.594 (37.693)	Prec@5 67.578 (67.535)
Epoch: [70][2340/7045]	Time 0.102 (0.247)	Data 0.001 (0.180)	Loss 2.2710 (2.5832)	Prec@1 41.406 (37.693)	Prec@5 71.875 (67.537)
Epoch: [70][2350/7045]	Time 0.287 (0.247)	Data 0.228 (0.180)	Loss 2.5357 (2.5832)	Prec@1 41.797 (37.694)	Prec@5 69.141 (67.536)
Epoch: [70][2360/7045]	Time 0.103 (0.247)	Data 0.006 (0.180)	Loss 2.6260 (2.5831)	Prec@1 36.719 (37.697)	Prec@5 65.625 (67.541)
Epoch: [70][2370/7045]	Time 0.109 (0.247)	Data 0.004 (0.180)	Loss 2.4874 (2.5832)	Prec@1 37.891 (37.694)	Prec@5 67.578 (67.539)
Epoch: [70][2380/7045]	Time 0.442 (0.247)	Data 0.391 (0.180)	Loss 2.6675 (2.5831)	Prec@1 37.109 (37.695)	Prec@5 65.625 (67.537)
Epoch: [70][2390/7045]	Time 0.101 (0.247)	Data 0.001 (0.180)	Loss 2.7578 (2.5830)	Prec@1 35.156 (37.696)	Prec@5 58.984 (67.533)
Epoch: [70][2400/7045]	Time 0.648 (0.247)	Data 0.599 (0.180)	Loss 2.7014 (2.5829)	Prec@1 33.594 (37.700)	Prec@5 66.797 (67.533)
Epoch: [70][2410/7045]	Time 0.109 (0.247)	Data 0.048 (0.180)	Loss 2.5396 (2.5829)	Prec@1 35.938 (37.697)	Prec@5 69.141 (67.537)
Epoch: [70][2420/7045]	Time 0.413 (0.247)	Data 0.361 (0.180)	Loss 2.6909 (2.5829)	Prec@1 35.938 (37.696)	Prec@5 66.016 (67.536)
Epoch: [70][2430/7045]	Time 0.102 (0.247)	Data 0.001 (0.180)	Loss 2.6035 (2.5832)	Prec@1 37.500 (37.693)	Prec@5 66.016 (67.530)
Epoch: [70][2440/7045]	Time 0.107 (0.247)	Data 0.007 (0.180)	Loss 2.6079 (2.5833)	Prec@1 39.062 (37.693)	Prec@5 65.234 (67.526)
Epoch: [70][2450/7045]	Time 0.102 (0.247)	Data 0.001 (0.180)	Loss 2.4810 (2.5832)	Prec@1 36.328 (37.692)	Prec@5 69.531 (67.529)
Epoch: [70][2460/7045]	Time 0.107 (0.247)	Data 0.001 (0.180)	Loss 2.7864 (2.5834)	Prec@1 32.812 (37.685)	Prec@5 61.328 (67.520)
Epoch: [70][2470/7045]	Time 0.183 (0.247)	Data 0.131 (0.180)	Loss 2.6026 (2.5835)	Prec@1 35.547 (37.683)	Prec@5 64.453 (67.517)
Epoch: [70][2480/7045]	Time 0.103 (0.247)	Data 0.002 (0.180)	Loss 2.4023 (2.5830)	Prec@1 46.484 (37.694)	Prec@5 71.484 (67.529)
Epoch: [70][2490/7045]	Time 0.664 (0.247)	Data 0.612 (0.180)	Loss 2.4499 (2.5831)	Prec@1 40.234 (37.694)	Prec@5 69.141 (67.526)
Epoch: [70][2500/7045]	Time 0.108 (0.247)	Data 0.001 (0.180)	Loss 2.6430 (2.5832)	Prec@1 40.234 (37.695)	Prec@5 68.750 (67.527)
Epoch: [70][2510/7045]	Time 0.482 (0.247)	Data 0.431 (0.180)	Loss 2.6535 (2.5833)	Prec@1 37.891 (37.692)	Prec@5 64.453 (67.523)
Epoch: [70][2520/7045]	Time 0.191 (0.247)	Data 0.133 (0.180)	Loss 2.6511 (2.5832)	Prec@1 35.938 (37.689)	Prec@5 62.109 (67.518)
Epoch: [70][2530/7045]	Time 0.409 (0.247)	Data 0.356 (0.180)	Loss 2.7608 (2.5831)	Prec@1 32.422 (37.691)	Prec@5 62.891 (67.522)
Epoch: [70][2540/7045]	Time 0.178 (0.247)	Data 0.127 (0.180)	Loss 2.7144 (2.5830)	Prec@1 34.766 (37.693)	Prec@5 68.359 (67.525)
Epoch: [70][2550/7045]	Time 0.138 (0.247)	Data 0.087 (0.180)	Loss 2.4316 (2.5829)	Prec@1 35.547 (37.697)	Prec@5 67.578 (67.528)
Epoch: [70][2560/7045]	Time 0.349 (0.247)	Data 0.299 (0.180)	Loss 2.5352 (2.5827)	Prec@1 34.375 (37.698)	Prec@5 68.359 (67.533)
Epoch: [70][2570/7045]	Time 0.108 (0.247)	Data 0.056 (0.180)	Loss 2.6704 (2.5825)	Prec@1 35.938 (37.700)	Prec@5 70.312 (67.540)
Epoch: [70][2580/7045]	Time 0.571 (0.247)	Data 0.519 (0.180)	Loss 2.5721 (2.5825)	Prec@1 36.719 (37.697)	Prec@5 72.266 (67.545)
Epoch: [70][2590/7045]	Time 0.261 (0.247)	Data 0.210 (0.180)	Loss 2.5858 (2.5825)	Prec@1 38.281 (37.704)	Prec@5 67.578 (67.545)
Epoch: [70][2600/7045]	Time 0.381 (0.247)	Data 0.330 (0.180)	Loss 2.6168 (2.5826)	Prec@1 37.109 (37.699)	Prec@5 67.969 (67.538)
Epoch: [70][2610/7045]	Time 0.161 (0.247)	Data 0.109 (0.180)	Loss 2.3829 (2.5824)	Prec@1 40.625 (37.700)	Prec@5 68.750 (67.543)
Epoch: [70][2620/7045]	Time 0.111 (0.247)	Data 0.015 (0.180)	Loss 2.5339 (2.5826)	Prec@1 39.453 (37.700)	Prec@5 66.406 (67.539)
Epoch: [70][2630/7045]	Time 0.112 (0.247)	Data 0.060 (0.180)	Loss 2.5655 (2.5827)	Prec@1 37.500 (37.700)	Prec@5 69.141 (67.540)
Epoch: [70][2640/7045]	Time 0.208 (0.247)	Data 0.156 (0.180)	Loss 2.4832 (2.5825)	Prec@1 39.453 (37.705)	Prec@5 72.266 (67.545)
Epoch: [70][2650/7045]	Time 0.102 (0.246)	Data 0.009 (0.180)	Loss 2.3274 (2.5825)	Prec@1 48.047 (37.706)	Prec@5 73.828 (67.545)
Epoch: [70][2660/7045]	Time 0.263 (0.247)	Data 0.206 (0.180)	Loss 2.5092 (2.5826)	Prec@1 38.281 (37.702)	Prec@5 67.188 (67.542)
Epoch: [70][2670/7045]	Time 0.204 (0.246)	Data 0.152 (0.180)	Loss 2.4711 (2.5824)	Prec@1 42.188 (37.705)	Prec@5 71.484 (67.544)
Epoch: [70][2680/7045]	Time 0.128 (0.246)	Data 0.070 (0.180)	Loss 2.7271 (2.5822)	Prec@1 37.500 (37.712)	Prec@5 62.891 (67.549)
Epoch: [70][2690/7045]	Time 0.506 (0.247)	Data 0.456 (0.180)	Loss 2.6557 (2.5821)	Prec@1 35.938 (37.710)	Prec@5 67.188 (67.549)
Epoch: [70][2700/7045]	Time 0.102 (0.247)	Data 0.001 (0.180)	Loss 2.5797 (2.5821)	Prec@1 35.156 (37.709)	Prec@5 69.922 (67.551)
Epoch: [70][2710/7045]	Time 0.585 (0.247)	Data 0.530 (0.180)	Loss 2.5972 (2.5821)	Prec@1 33.984 (37.709)	Prec@5 68.750 (67.552)
Epoch: [70][2720/7045]	Time 0.169 (0.246)	Data 0.118 (0.180)	Loss 2.6943 (2.5823)	Prec@1 32.031 (37.702)	Prec@5 63.281 (67.548)
Epoch: [70][2730/7045]	Time 0.103 (0.247)	Data 0.008 (0.180)	Loss 2.5827 (2.5824)	Prec@1 37.500 (37.701)	Prec@5 68.359 (67.550)
Epoch: [70][2740/7045]	Time 0.101 (0.246)	Data 0.046 (0.180)	Loss 2.5532 (2.5827)	Prec@1 39.453 (37.694)	Prec@5 68.750 (67.545)
Epoch: [70][2750/7045]	Time 0.102 (0.246)	Data 0.004 (0.180)	Loss 2.4872 (2.5826)	Prec@1 41.406 (37.697)	Prec@5 72.656 (67.550)
Epoch: [70][2760/7045]	Time 0.497 (0.247)	Data 0.440 (0.180)	Loss 2.7885 (2.5827)	Prec@1 35.156 (37.693)	Prec@5 61.328 (67.546)
Epoch: [70][2770/7045]	Time 0.102 (0.246)	Data 0.001 (0.180)	Loss 2.7381 (2.5828)	Prec@1 33.594 (37.691)	Prec@5 63.281 (67.542)
Epoch: [70][2780/7045]	Time 0.584 (0.247)	Data 0.533 (0.180)	Loss 2.5903 (2.5829)	Prec@1 36.719 (37.692)	Prec@5 67.188 (67.545)
Epoch: [70][2790/7045]	Time 0.265 (0.246)	Data 0.214 (0.180)	Loss 2.6968 (2.5828)	Prec@1 32.422 (37.689)	Prec@5 64.453 (67.547)
Epoch: [70][2800/7045]	Time 0.469 (0.246)	Data 0.419 (0.180)	Loss 2.6276 (2.5827)	Prec@1 36.719 (37.695)	Prec@5 67.578 (67.547)
Epoch: [70][2810/7045]	Time 0.275 (0.246)	Data 0.224 (0.180)	Loss 2.3469 (2.5827)	Prec@1 41.406 (37.692)	Prec@5 71.094 (67.546)
Epoch: [70][2820/7045]	Time 0.102 (0.246)	Data 0.001 (0.180)	Loss 2.7919 (2.5828)	Prec@1 35.156 (37.687)	Prec@5 61.719 (67.544)
Epoch: [70][2830/7045]	Time 0.153 (0.246)	Data 0.103 (0.180)	Loss 2.5371 (2.5828)	Prec@1 34.375 (37.686)	Prec@5 70.703 (67.545)
Epoch: [70][2840/7045]	Time 0.109 (0.246)	Data 0.004 (0.180)	Loss 2.6353 (2.5827)	Prec@1 35.547 (37.688)	Prec@5 64.453 (67.545)
Epoch: [70][2850/7045]	Time 0.141 (0.246)	Data 0.090 (0.180)	Loss 2.6677 (2.5827)	Prec@1 39.844 (37.692)	Prec@5 65.625 (67.547)
Epoch: [70][2860/7045]	Time 0.201 (0.246)	Data 0.149 (0.180)	Loss 2.6631 (2.5825)	Prec@1 35.938 (37.693)	Prec@5 67.188 (67.551)
Epoch: [70][2870/7045]	Time 0.102 (0.246)	Data 0.001 (0.180)	Loss 2.6172 (2.5827)	Prec@1 37.500 (37.690)	Prec@5 70.312 (67.552)
Epoch: [70][2880/7045]	Time 0.311 (0.246)	Data 0.260 (0.180)	Loss 2.6787 (2.5827)	Prec@1 36.328 (37.691)	Prec@5 64.844 (67.552)
Epoch: [70][2890/7045]	Time 0.103 (0.246)	Data 0.001 (0.180)	Loss 2.8459 (2.5827)	Prec@1 33.594 (37.691)	Prec@5 61.719 (67.549)
Epoch: [70][2900/7045]	Time 0.445 (0.246)	Data 0.394 (0.180)	Loss 2.7313 (2.5827)	Prec@1 36.328 (37.690)	Prec@5 66.406 (67.548)
Epoch: [70][2910/7045]	Time 0.338 (0.246)	Data 0.287 (0.180)	Loss 2.5492 (2.5826)	Prec@1 39.844 (37.691)	Prec@5 67.188 (67.546)
Epoch: [70][2920/7045]	Time 0.458 (0.246)	Data 0.407 (0.180)	Loss 2.7196 (2.5825)	Prec@1 36.328 (37.693)	Prec@5 62.500 (67.549)
Epoch: [70][2930/7045]	Time 0.426 (0.246)	Data 0.373 (0.180)	Loss 2.5950 (2.5825)	Prec@1 39.844 (37.694)	Prec@5 67.188 (67.547)
Epoch: [70][2940/7045]	Time 0.103 (0.246)	Data 0.012 (0.180)	Loss 2.5345 (2.5825)	Prec@1 36.328 (37.694)	Prec@5 71.484 (67.547)
Epoch: [70][2950/7045]	Time 0.209 (0.246)	Data 0.158 (0.180)	Loss 2.7704 (2.5825)	Prec@1 32.812 (37.693)	Prec@5 60.547 (67.548)
Epoch: [70][2960/7045]	Time 0.364 (0.246)	Data 0.313 (0.180)	Loss 2.4860 (2.5823)	Prec@1 37.500 (37.696)	Prec@5 69.922 (67.550)
Epoch: [70][2970/7045]	Time 0.111 (0.246)	Data 0.058 (0.180)	Loss 2.5240 (2.5824)	Prec@1 38.281 (37.695)	Prec@5 67.969 (67.550)
Epoch: [70][2980/7045]	Time 0.416 (0.246)	Data 0.366 (0.180)	Loss 2.3936 (2.5824)	Prec@1 41.406 (37.696)	Prec@5 69.531 (67.551)
Epoch: [70][2990/7045]	Time 0.346 (0.246)	Data 0.293 (0.180)	Loss 2.6157 (2.5823)	Prec@1 37.500 (37.696)	Prec@5 69.141 (67.553)
Epoch: [70][3000/7045]	Time 0.158 (0.246)	Data 0.107 (0.180)	Loss 2.6694 (2.5824)	Prec@1 34.375 (37.696)	Prec@5 66.406 (67.552)
Epoch: [70][3010/7045]	Time 0.106 (0.246)	Data 0.054 (0.180)	Loss 2.6208 (2.5823)	Prec@1 37.500 (37.696)	Prec@5 67.188 (67.554)
Epoch: [70][3020/7045]	Time 0.102 (0.246)	Data 0.006 (0.180)	Loss 2.4963 (2.5822)	Prec@1 36.328 (37.694)	Prec@5 69.141 (67.558)
Epoch: [70][3030/7045]	Time 0.103 (0.246)	Data 0.001 (0.180)	Loss 2.6640 (2.5820)	Prec@1 36.328 (37.693)	Prec@5 69.922 (67.564)
Epoch: [70][3040/7045]	Time 0.167 (0.246)	Data 0.115 (0.180)	Loss 2.6420 (2.5819)	Prec@1 35.938 (37.697)	Prec@5 70.312 (67.569)
Epoch: [70][3050/7045]	Time 0.576 (0.247)	Data 0.524 (0.180)	Loss 2.5784 (2.5820)	Prec@1 41.406 (37.696)	Prec@5 67.188 (67.569)
Epoch: [70][3060/7045]	Time 0.194 (0.246)	Data 0.143 (0.180)	Loss 2.4897 (2.5821)	Prec@1 45.703 (37.700)	Prec@5 67.578 (67.571)
Epoch: [70][3070/7045]	Time 0.430 (0.247)	Data 0.370 (0.180)	Loss 2.5494 (2.5821)	Prec@1 41.797 (37.704)	Prec@5 68.359 (67.572)
Epoch: [70][3080/7045]	Time 0.102 (0.247)	Data 0.001 (0.180)	Loss 2.6481 (2.5821)	Prec@1 36.719 (37.703)	Prec@5 68.359 (67.573)
Epoch: [70][3090/7045]	Time 0.102 (0.247)	Data 0.001 (0.180)	Loss 2.4797 (2.5820)	Prec@1 36.719 (37.705)	Prec@5 71.484 (67.576)
Epoch: [70][3100/7045]	Time 0.110 (0.247)	Data 0.002 (0.180)	Loss 2.7627 (2.5822)	Prec@1 35.938 (37.704)	Prec@5 65.234 (67.571)
Epoch: [70][3110/7045]	Time 0.392 (0.247)	Data 0.341 (0.180)	Loss 2.6031 (2.5821)	Prec@1 40.234 (37.709)	Prec@5 66.016 (67.571)
Epoch: [70][3120/7045]	Time 0.101 (0.247)	Data 0.001 (0.180)	Loss 2.3048 (2.5821)	Prec@1 40.625 (37.712)	Prec@5 70.312 (67.568)
Epoch: [70][3130/7045]	Time 0.414 (0.247)	Data 0.358 (0.180)	Loss 2.8922 (2.5821)	Prec@1 32.031 (37.712)	Prec@5 58.594 (67.568)
Epoch: [70][3140/7045]	Time 0.304 (0.247)	Data 0.253 (0.180)	Loss 2.4434 (2.5820)	Prec@1 38.281 (37.714)	Prec@5 69.922 (67.571)
Epoch: [70][3150/7045]	Time 0.107 (0.247)	Data 0.048 (0.180)	Loss 2.6172 (2.5820)	Prec@1 37.109 (37.713)	Prec@5 68.359 (67.569)
Epoch: [70][3160/7045]	Time 0.167 (0.247)	Data 0.116 (0.180)	Loss 2.5408 (2.5820)	Prec@1 39.453 (37.712)	Prec@5 64.844 (67.565)
Epoch: [70][3170/7045]	Time 0.101 (0.247)	Data 0.044 (0.180)	Loss 2.5920 (2.5819)	Prec@1 39.844 (37.713)	Prec@5 64.844 (67.563)
Epoch: [70][3180/7045]	Time 0.364 (0.247)	Data 0.312 (0.180)	Loss 2.5791 (2.5819)	Prec@1 35.938 (37.712)	Prec@5 69.141 (67.565)
Epoch: [70][3190/7045]	Time 0.319 (0.247)	Data 0.268 (0.180)	Loss 2.7916 (2.5817)	Prec@1 32.031 (37.714)	Prec@5 65.234 (67.570)
Epoch: [70][3200/7045]	Time 0.243 (0.247)	Data 0.192 (0.180)	Loss 2.5268 (2.5816)	Prec@1 40.625 (37.722)	Prec@5 67.969 (67.571)
Epoch: [70][3210/7045]	Time 0.319 (0.247)	Data 0.268 (0.180)	Loss 2.5684 (2.5817)	Prec@1 37.500 (37.718)	Prec@5 66.016 (67.569)
Epoch: [70][3220/7045]	Time 0.102 (0.247)	Data 0.007 (0.180)	Loss 2.5596 (2.5817)	Prec@1 38.672 (37.720)	Prec@5 66.406 (67.571)
Epoch: [70][3230/7045]	Time 0.273 (0.247)	Data 0.222 (0.180)	Loss 2.4142 (2.5816)	Prec@1 42.969 (37.723)	Prec@5 70.703 (67.578)
Epoch: [70][3240/7045]	Time 0.667 (0.247)	Data 0.615 (0.180)	Loss 2.5715 (2.5815)	Prec@1 39.453 (37.722)	Prec@5 68.750 (67.576)
Epoch: [70][3250/7045]	Time 0.103 (0.247)	Data 0.001 (0.180)	Loss 2.5066 (2.5813)	Prec@1 41.797 (37.730)	Prec@5 70.312 (67.578)
Epoch: [70][3260/7045]	Time 0.458 (0.247)	Data 0.408 (0.180)	Loss 2.6235 (2.5812)	Prec@1 32.812 (37.732)	Prec@5 68.750 (67.584)
Epoch: [70][3270/7045]	Time 0.102 (0.247)	Data 0.005 (0.180)	Loss 2.6576 (2.5812)	Prec@1 35.938 (37.729)	Prec@5 66.016 (67.583)
Epoch: [70][3280/7045]	Time 0.395 (0.247)	Data 0.344 (0.180)	Loss 2.4164 (2.5812)	Prec@1 42.578 (37.735)	Prec@5 72.266 (67.582)
Epoch: [70][3290/7045]	Time 0.516 (0.247)	Data 0.459 (0.180)	Loss 2.4270 (2.5811)	Prec@1 37.891 (37.737)	Prec@5 68.359 (67.584)
Epoch: [70][3300/7045]	Time 0.099 (0.247)	Data 0.046 (0.180)	Loss 2.5446 (2.5812)	Prec@1 37.500 (37.736)	Prec@5 68.750 (67.581)
Epoch: [70][3310/7045]	Time 0.402 (0.247)	Data 0.351 (0.180)	Loss 2.6453 (2.5811)	Prec@1 35.547 (37.738)	Prec@5 66.406 (67.581)
Epoch: [70][3320/7045]	Time 0.134 (0.247)	Data 0.082 (0.180)	Loss 2.5405 (2.5811)	Prec@1 41.016 (37.740)	Prec@5 65.234 (67.578)
Epoch: [70][3330/7045]	Time 0.238 (0.247)	Data 0.186 (0.180)	Loss 2.6619 (2.5812)	Prec@1 33.203 (37.740)	Prec@5 66.406 (67.579)
Epoch: [70][3340/7045]	Time 0.679 (0.247)	Data 0.628 (0.180)	Loss 2.7053 (2.5812)	Prec@1 33.203 (37.739)	Prec@5 65.625 (67.580)
Epoch: [70][3350/7045]	Time 0.209 (0.247)	Data 0.158 (0.180)	Loss 2.4537 (2.5811)	Prec@1 41.016 (37.744)	Prec@5 68.359 (67.580)
Epoch: [70][3360/7045]	Time 0.102 (0.247)	Data 0.001 (0.180)	Loss 2.4912 (2.5811)	Prec@1 35.938 (37.743)	Prec@5 68.750 (67.584)
Epoch: [70][3370/7045]	Time 0.151 (0.247)	Data 0.100 (0.180)	Loss 2.6468 (2.5810)	Prec@1 37.109 (37.743)	Prec@5 67.969 (67.586)
Epoch: [70][3380/7045]	Time 0.312 (0.247)	Data 0.260 (0.180)	Loss 2.6978 (2.5811)	Prec@1 30.469 (37.741)	Prec@5 66.797 (67.586)
Epoch: [70][3390/7045]	Time 0.363 (0.247)	Data 0.312 (0.180)	Loss 2.5758 (2.5811)	Prec@1 37.891 (37.738)	Prec@5 68.359 (67.587)
Epoch: [70][3400/7045]	Time 0.102 (0.247)	Data 0.001 (0.180)	Loss 2.6126 (2.5813)	Prec@1 37.109 (37.740)	Prec@5 67.578 (67.585)
Epoch: [70][3410/7045]	Time 0.214 (0.247)	Data 0.161 (0.180)	Loss 2.5106 (2.5814)	Prec@1 37.500 (37.736)	Prec@5 66.797 (67.582)
Epoch: [70][3420/7045]	Time 0.546 (0.247)	Data 0.495 (0.181)	Loss 2.6064 (2.5813)	Prec@1 36.328 (37.733)	Prec@5 68.359 (67.582)
Epoch: [70][3430/7045]	Time 0.115 (0.247)	Data 0.064 (0.181)	Loss 2.5361 (2.5812)	Prec@1 38.281 (37.736)	Prec@5 67.188 (67.583)
Epoch: [70][3440/7045]	Time 0.231 (0.247)	Data 0.180 (0.181)	Loss 2.4456 (2.5812)	Prec@1 39.062 (37.738)	Prec@5 71.484 (67.585)
Epoch: [70][3450/7045]	Time 0.137 (0.247)	Data 0.085 (0.181)	Loss 2.4391 (2.5811)	Prec@1 41.797 (37.739)	Prec@5 69.922 (67.588)
Epoch: [70][3460/7045]	Time 0.461 (0.247)	Data 0.410 (0.181)	Loss 2.5699 (2.5812)	Prec@1 33.594 (37.737)	Prec@5 73.047 (67.591)
Epoch: [70][3470/7045]	Time 0.136 (0.247)	Data 0.086 (0.181)	Loss 2.4894 (2.5811)	Prec@1 37.109 (37.738)	Prec@5 68.359 (67.592)
Epoch: [70][3480/7045]	Time 0.343 (0.247)	Data 0.292 (0.181)	Loss 2.5207 (2.5810)	Prec@1 36.719 (37.737)	Prec@5 68.750 (67.593)
Epoch: [70][3490/7045]	Time 0.715 (0.247)	Data 0.664 (0.181)	Loss 2.5075 (2.5808)	Prec@1 41.406 (37.737)	Prec@5 67.969 (67.594)
Epoch: [70][3500/7045]	Time 0.102 (0.247)	Data 0.005 (0.181)	Loss 2.5586 (2.5808)	Prec@1 36.719 (37.739)	Prec@5 68.750 (67.593)
Epoch: [70][3510/7045]	Time 0.354 (0.247)	Data 0.304 (0.181)	Loss 2.2782 (2.5806)	Prec@1 41.797 (37.744)	Prec@5 73.438 (67.596)
Epoch: [70][3520/7045]	Time 0.124 (0.247)	Data 0.073 (0.181)	Loss 2.5922 (2.5806)	Prec@1 38.672 (37.745)	Prec@5 69.922 (67.597)
Epoch: [70][3530/7045]	Time 0.103 (0.247)	Data 0.001 (0.181)	Loss 2.5889 (2.5806)	Prec@1 39.453 (37.747)	Prec@5 67.578 (67.597)
Epoch: [70][3540/7045]	Time 0.159 (0.247)	Data 0.109 (0.181)	Loss 2.8591 (2.5807)	Prec@1 30.859 (37.745)	Prec@5 62.500 (67.594)
Epoch: [70][3550/7045]	Time 0.265 (0.247)	Data 0.213 (0.181)	Loss 2.5553 (2.5808)	Prec@1 38.672 (37.744)	Prec@5 65.625 (67.593)
Epoch: [70][3560/7045]	Time 0.102 (0.247)	Data 0.001 (0.181)	Loss 2.4430 (2.5808)	Prec@1 39.062 (37.740)	Prec@5 70.703 (67.593)
Epoch: [70][3570/7045]	Time 0.102 (0.247)	Data 0.001 (0.181)	Loss 2.3860 (2.5808)	Prec@1 44.922 (37.743)	Prec@5 71.094 (67.593)
Epoch: [70][3580/7045]	Time 0.373 (0.247)	Data 0.322 (0.181)	Loss 2.5793 (2.5810)	Prec@1 35.156 (37.742)	Prec@5 67.969 (67.591)
Epoch: [70][3590/7045]	Time 0.141 (0.247)	Data 0.091 (0.181)	Loss 2.7662 (2.5809)	Prec@1 34.766 (37.746)	Prec@5 64.062 (67.592)
Epoch: [70][3600/7045]	Time 0.164 (0.247)	Data 0.113 (0.181)	Loss 2.6785 (2.5809)	Prec@1 34.375 (37.746)	Prec@5 67.578 (67.592)
Epoch: [70][3610/7045]	Time 0.134 (0.248)	Data 0.081 (0.181)	Loss 2.6625 (2.5811)	Prec@1 32.031 (37.741)	Prec@5 66.797 (67.589)
Epoch: [70][3620/7045]	Time 0.103 (0.248)	Data 0.050 (0.181)	Loss 2.4901 (2.5810)	Prec@1 39.844 (37.741)	Prec@5 70.312 (67.588)
Epoch: [70][3630/7045]	Time 0.102 (0.248)	Data 0.045 (0.181)	Loss 2.3464 (2.5810)	Prec@1 41.016 (37.745)	Prec@5 74.609 (67.591)
Epoch: [70][3640/7045]	Time 0.176 (0.248)	Data 0.125 (0.181)	Loss 2.3885 (2.5807)	Prec@1 46.094 (37.750)	Prec@5 70.703 (67.595)
Epoch: [70][3650/7045]	Time 0.102 (0.247)	Data 0.051 (0.181)	Loss 2.5164 (2.5808)	Prec@1 38.281 (37.748)	Prec@5 69.141 (67.593)
Epoch: [70][3660/7045]	Time 0.102 (0.248)	Data 0.047 (0.181)	Loss 2.6016 (2.5809)	Prec@1 37.891 (37.750)	Prec@5 63.672 (67.592)
Epoch: [70][3670/7045]	Time 0.103 (0.247)	Data 0.001 (0.181)	Loss 2.4892 (2.5808)	Prec@1 42.578 (37.748)	Prec@5 64.844 (67.593)
Epoch: [70][3680/7045]	Time 0.177 (0.248)	Data 0.125 (0.181)	Loss 2.4797 (2.5806)	Prec@1 40.625 (37.754)	Prec@5 70.312 (67.598)
Epoch: [70][3690/7045]	Time 0.151 (0.247)	Data 0.099 (0.181)	Loss 2.3393 (2.5803)	Prec@1 41.406 (37.760)	Prec@5 74.219 (67.606)
Epoch: [70][3700/7045]	Time 0.223 (0.248)	Data 0.171 (0.181)	Loss 2.7065 (2.5806)	Prec@1 38.672 (37.754)	Prec@5 63.281 (67.602)
Epoch: [70][3710/7045]	Time 0.517 (0.248)	Data 0.467 (0.181)	Loss 2.4626 (2.5806)	Prec@1 39.453 (37.752)	Prec@5 70.312 (67.603)
Epoch: [70][3720/7045]	Time 0.106 (0.248)	Data 0.054 (0.181)	Loss 2.6298 (2.5806)	Prec@1 33.203 (37.753)	Prec@5 66.797 (67.599)
Epoch: [70][3730/7045]	Time 0.261 (0.247)	Data 0.210 (0.181)	Loss 2.7026 (2.5807)	Prec@1 35.938 (37.750)	Prec@5 67.188 (67.595)
Epoch: [70][3740/7045]	Time 0.244 (0.248)	Data 0.194 (0.181)	Loss 2.7217 (2.5807)	Prec@1 34.766 (37.748)	Prec@5 65.625 (67.596)
Epoch: [70][3750/7045]	Time 0.195 (0.247)	Data 0.142 (0.181)	Loss 2.6560 (2.5807)	Prec@1 36.328 (37.747)	Prec@5 64.844 (67.596)
Epoch: [70][3760/7045]	Time 0.272 (0.247)	Data 0.220 (0.181)	Loss 2.4620 (2.5806)	Prec@1 38.281 (37.748)	Prec@5 69.922 (67.597)
Epoch: [70][3770/7045]	Time 0.396 (0.247)	Data 0.345 (0.181)	Loss 2.7092 (2.5805)	Prec@1 37.500 (37.747)	Prec@5 66.016 (67.598)
Epoch: [70][3780/7045]	Time 0.165 (0.247)	Data 0.115 (0.181)	Loss 2.5540 (2.5803)	Prec@1 35.938 (37.748)	Prec@5 66.797 (67.600)
Epoch: [70][3790/7045]	Time 0.164 (0.247)	Data 0.112 (0.181)	Loss 2.6167 (2.5803)	Prec@1 35.547 (37.750)	Prec@5 69.141 (67.602)
Epoch: [70][3800/7045]	Time 0.108 (0.247)	Data 0.057 (0.181)	Loss 2.5716 (2.5802)	Prec@1 37.891 (37.752)	Prec@5 67.188 (67.605)
Epoch: [70][3810/7045]	Time 0.499 (0.248)	Data 0.443 (0.181)	Loss 2.3965 (2.5801)	Prec@1 45.703 (37.754)	Prec@5 69.922 (67.606)
Epoch: [70][3820/7045]	Time 0.330 (0.247)	Data 0.278 (0.181)	Loss 2.6754 (2.5802)	Prec@1 36.328 (37.755)	Prec@5 66.797 (67.601)
Epoch: [70][3830/7045]	Time 0.103 (0.247)	Data 0.051 (0.181)	Loss 2.5213 (2.5802)	Prec@1 39.062 (37.756)	Prec@5 71.484 (67.602)
Epoch: [70][3840/7045]	Time 0.156 (0.247)	Data 0.103 (0.181)	Loss 2.4861 (2.5801)	Prec@1 39.062 (37.758)	Prec@5 67.969 (67.602)
Epoch: [70][3850/7045]	Time 0.102 (0.247)	Data 0.001 (0.181)	Loss 2.6594 (2.5801)	Prec@1 36.328 (37.757)	Prec@5 65.234 (67.599)
Epoch: [70][3860/7045]	Time 0.560 (0.248)	Data 0.496 (0.181)	Loss 2.6518 (2.5801)	Prec@1 33.984 (37.755)	Prec@5 66.016 (67.601)
Epoch: [70][3870/7045]	Time 0.267 (0.247)	Data 0.215 (0.181)	Loss 2.6362 (2.5802)	Prec@1 36.328 (37.752)	Prec@5 69.531 (67.602)
Epoch: [70][3880/7045]	Time 0.103 (0.248)	Data 0.001 (0.181)	Loss 2.5578 (2.5801)	Prec@1 38.672 (37.752)	Prec@5 68.750 (67.603)
Epoch: [70][3890/7045]	Time 0.102 (0.247)	Data 0.005 (0.181)	Loss 2.5695 (2.5801)	Prec@1 40.625 (37.754)	Prec@5 67.188 (67.604)
Epoch: [70][3900/7045]	Time 0.102 (0.247)	Data 0.003 (0.181)	Loss 2.4731 (2.5801)	Prec@1 42.578 (37.753)	Prec@5 71.484 (67.604)
Epoch: [70][3910/7045]	Time 0.362 (0.247)	Data 0.311 (0.181)	Loss 2.6528 (2.5802)	Prec@1 35.547 (37.754)	Prec@5 66.016 (67.603)
Epoch: [70][3920/7045]	Time 0.140 (0.247)	Data 0.088 (0.181)	Loss 2.4534 (2.5802)	Prec@1 39.844 (37.752)	Prec@5 70.703 (67.598)
Epoch: [70][3930/7045]	Time 0.634 (0.247)	Data 0.582 (0.181)	Loss 2.6836 (2.5801)	Prec@1 35.547 (37.755)	Prec@5 64.844 (67.601)
Epoch: [70][3940/7045]	Time 0.102 (0.247)	Data 0.001 (0.181)	Loss 2.5101 (2.5800)	Prec@1 39.844 (37.761)	Prec@5 70.312 (67.606)
Epoch: [70][3950/7045]	Time 0.415 (0.247)	Data 0.363 (0.181)	Loss 2.5376 (2.5799)	Prec@1 38.672 (37.763)	Prec@5 69.531 (67.605)
Epoch: [70][3960/7045]	Time 0.100 (0.247)	Data 0.044 (0.181)	Loss 2.3984 (2.5798)	Prec@1 41.016 (37.767)	Prec@5 71.484 (67.607)
Epoch: [70][3970/7045]	Time 0.101 (0.247)	Data 0.047 (0.181)	Loss 2.4541 (2.5797)	Prec@1 40.625 (37.769)	Prec@5 67.188 (67.609)
Epoch: [70][3980/7045]	Time 0.129 (0.247)	Data 0.079 (0.181)	Loss 2.6064 (2.5797)	Prec@1 39.844 (37.771)	Prec@5 67.188 (67.608)
Epoch: [70][3990/7045]	Time 0.222 (0.247)	Data 0.172 (0.181)	Loss 2.6031 (2.5798)	Prec@1 34.766 (37.769)	Prec@5 67.188 (67.608)
Epoch: [70][4000/7045]	Time 0.102 (0.247)	Data 0.019 (0.181)	Loss 2.5907 (2.5797)	Prec@1 38.281 (37.769)	Prec@5 65.625 (67.608)
Epoch: [70][4010/7045]	Time 0.190 (0.247)	Data 0.139 (0.181)	Loss 2.5610 (2.5797)	Prec@1 36.328 (37.770)	Prec@5 67.969 (67.607)
Epoch: [70][4020/7045]	Time 0.258 (0.247)	Data 0.207 (0.181)	Loss 2.4679 (2.5797)	Prec@1 39.062 (37.771)	Prec@5 73.438 (67.607)
Epoch: [70][4030/7045]	Time 0.145 (0.247)	Data 0.095 (0.181)	Loss 2.5324 (2.5797)	Prec@1 36.328 (37.770)	Prec@5 69.141 (67.609)
Epoch: [70][4040/7045]	Time 0.403 (0.247)	Data 0.351 (0.181)	Loss 2.6356 (2.5798)	Prec@1 38.281 (37.768)	Prec@5 69.141 (67.603)
Epoch: [70][4050/7045]	Time 0.101 (0.247)	Data 0.004 (0.181)	Loss 2.5149 (2.5799)	Prec@1 40.234 (37.769)	Prec@5 67.578 (67.601)
Epoch: [70][4060/7045]	Time 0.406 (0.247)	Data 0.348 (0.181)	Loss 2.6384 (2.5799)	Prec@1 33.594 (37.769)	Prec@5 67.578 (67.602)
Epoch: [70][4070/7045]	Time 0.106 (0.247)	Data 0.054 (0.181)	Loss 2.7158 (2.5799)	Prec@1 32.812 (37.768)	Prec@5 65.625 (67.600)
Epoch: [70][4080/7045]	Time 0.496 (0.247)	Data 0.446 (0.181)	Loss 2.4709 (2.5799)	Prec@1 41.797 (37.771)	Prec@5 70.703 (67.599)
Epoch: [70][4090/7045]	Time 0.104 (0.247)	Data 0.051 (0.181)	Loss 2.4787 (2.5799)	Prec@1 41.016 (37.771)	Prec@5 70.312 (67.601)
Epoch: [70][4100/7045]	Time 0.180 (0.247)	Data 0.130 (0.181)	Loss 2.3664 (2.5799)	Prec@1 41.016 (37.766)	Prec@5 71.094 (67.601)
Epoch: [70][4110/7045]	Time 0.130 (0.247)	Data 0.078 (0.181)	Loss 2.4527 (2.5799)	Prec@1 41.406 (37.768)	Prec@5 71.094 (67.601)
Epoch: [70][4120/7045]	Time 0.276 (0.247)	Data 0.225 (0.181)	Loss 2.5200 (2.5801)	Prec@1 40.234 (37.767)	Prec@5 68.750 (67.597)
Epoch: [70][4130/7045]	Time 0.207 (0.247)	Data 0.156 (0.181)	Loss 2.4654 (2.5802)	Prec@1 40.625 (37.765)	Prec@5 68.359 (67.593)
Epoch: [70][4140/7045]	Time 0.206 (0.247)	Data 0.156 (0.181)	Loss 2.5310 (2.5802)	Prec@1 35.938 (37.762)	Prec@5 72.656 (67.596)
Epoch: [70][4150/7045]	Time 0.498 (0.247)	Data 0.447 (0.181)	Loss 2.7242 (2.5802)	Prec@1 35.938 (37.758)	Prec@5 66.406 (67.595)
Epoch: [70][4160/7045]	Time 0.301 (0.247)	Data 0.250 (0.181)	Loss 2.5434 (2.5802)	Prec@1 39.453 (37.762)	Prec@5 66.016 (67.595)
Epoch: [70][4170/7045]	Time 0.108 (0.247)	Data 0.056 (0.181)	Loss 2.5097 (2.5801)	Prec@1 39.062 (37.763)	Prec@5 68.750 (67.594)
Epoch: [70][4180/7045]	Time 0.170 (0.247)	Data 0.118 (0.181)	Loss 2.3481 (2.5800)	Prec@1 37.109 (37.766)	Prec@5 72.266 (67.596)
Epoch: [70][4190/7045]	Time 0.265 (0.247)	Data 0.213 (0.181)	Loss 2.4699 (2.5803)	Prec@1 39.844 (37.763)	Prec@5 66.016 (67.591)
Epoch: [70][4200/7045]	Time 0.241 (0.247)	Data 0.190 (0.181)	Loss 2.6726 (2.5802)	Prec@1 36.328 (37.763)	Prec@5 66.016 (67.592)
Epoch: [70][4210/7045]	Time 0.112 (0.247)	Data 0.059 (0.181)	Loss 2.6139 (2.5803)	Prec@1 36.719 (37.761)	Prec@5 67.188 (67.594)
Epoch: [70][4220/7045]	Time 0.465 (0.247)	Data 0.413 (0.182)	Loss 2.5316 (2.5803)	Prec@1 37.891 (37.759)	Prec@5 64.844 (67.595)
Epoch: [70][4230/7045]	Time 0.240 (0.247)	Data 0.189 (0.182)	Loss 2.6840 (2.5805)	Prec@1 38.281 (37.756)	Prec@5 66.406 (67.590)
Epoch: [70][4240/7045]	Time 0.110 (0.247)	Data 0.001 (0.182)	Loss 2.5194 (2.5804)	Prec@1 37.891 (37.756)	Prec@5 69.922 (67.591)
Epoch: [70][4250/7045]	Time 0.103 (0.247)	Data 0.007 (0.182)	Loss 2.6394 (2.5806)	Prec@1 38.281 (37.754)	Prec@5 65.234 (67.585)
Epoch: [70][4260/7045]	Time 0.249 (0.247)	Data 0.198 (0.182)	Loss 2.5993 (2.5806)	Prec@1 39.453 (37.754)	Prec@5 67.969 (67.584)
Epoch: [70][4270/7045]	Time 0.507 (0.247)	Data 0.455 (0.182)	Loss 2.3955 (2.5805)	Prec@1 39.453 (37.757)	Prec@5 70.703 (67.587)
Epoch: [70][4280/7045]	Time 0.102 (0.247)	Data 0.005 (0.182)	Loss 2.7092 (2.5805)	Prec@1 36.328 (37.758)	Prec@5 65.234 (67.587)
Epoch: [70][4290/7045]	Time 0.414 (0.247)	Data 0.362 (0.182)	Loss 2.7096 (2.5807)	Prec@1 33.984 (37.752)	Prec@5 68.359 (67.583)
Epoch: [70][4300/7045]	Time 0.421 (0.247)	Data 0.370 (0.182)	Loss 2.5391 (2.5808)	Prec@1 38.672 (37.750)	Prec@5 67.578 (67.581)
Epoch: [70][4310/7045]	Time 0.294 (0.247)	Data 0.243 (0.182)	Loss 2.6838 (2.5808)	Prec@1 37.109 (37.753)	Prec@5 62.500 (67.579)
Epoch: [70][4320/7045]	Time 0.364 (0.247)	Data 0.313 (0.182)	Loss 2.5926 (2.5807)	Prec@1 35.547 (37.755)	Prec@5 67.969 (67.581)
Epoch: [70][4330/7045]	Time 0.108 (0.247)	Data 0.016 (0.182)	Loss 2.6125 (2.5807)	Prec@1 37.891 (37.756)	Prec@5 67.969 (67.584)
Epoch: [70][4340/7045]	Time 0.298 (0.247)	Data 0.247 (0.182)	Loss 2.5568 (2.5808)	Prec@1 34.375 (37.753)	Prec@5 69.141 (67.585)
Epoch: [70][4350/7045]	Time 0.110 (0.247)	Data 0.051 (0.182)	Loss 2.6230 (2.5807)	Prec@1 33.203 (37.753)	Prec@5 66.016 (67.582)
Epoch: [70][4360/7045]	Time 0.102 (0.247)	Data 0.014 (0.182)	Loss 2.6875 (2.5808)	Prec@1 36.328 (37.751)	Prec@5 66.406 (67.582)
Epoch: [70][4370/7045]	Time 0.101 (0.247)	Data 0.001 (0.182)	Loss 2.5248 (2.5809)	Prec@1 36.328 (37.751)	Prec@5 66.797 (67.579)
Epoch: [70][4380/7045]	Time 0.333 (0.247)	Data 0.281 (0.182)	Loss 2.6637 (2.5810)	Prec@1 39.062 (37.750)	Prec@5 66.016 (67.578)
Epoch: [70][4390/7045]	Time 0.109 (0.247)	Data 0.001 (0.182)	Loss 2.6441 (2.5810)	Prec@1 34.375 (37.750)	Prec@5 69.531 (67.578)
Epoch: [70][4400/7045]	Time 0.529 (0.247)	Data 0.478 (0.182)	Loss 2.5947 (2.5811)	Prec@1 39.062 (37.751)	Prec@5 66.406 (67.574)
Epoch: [70][4410/7045]	Time 0.404 (0.247)	Data 0.352 (0.182)	Loss 2.5987 (2.5812)	Prec@1 37.109 (37.749)	Prec@5 64.844 (67.572)
Epoch: [70][4420/7045]	Time 0.260 (0.247)	Data 0.210 (0.182)	Loss 2.7781 (2.5812)	Prec@1 34.375 (37.751)	Prec@5 67.578 (67.572)
Epoch: [70][4430/7045]	Time 0.337 (0.247)	Data 0.287 (0.181)	Loss 2.6845 (2.5812)	Prec@1 37.891 (37.748)	Prec@5 65.625 (67.571)
Epoch: [70][4440/7045]	Time 0.119 (0.247)	Data 0.069 (0.181)	Loss 2.6247 (2.5813)	Prec@1 35.938 (37.746)	Prec@5 68.750 (67.568)
Epoch: [70][4450/7045]	Time 0.242 (0.247)	Data 0.191 (0.181)	Loss 2.7192 (2.5813)	Prec@1 35.547 (37.742)	Prec@5 62.500 (67.569)
Epoch: [70][4460/7045]	Time 0.102 (0.247)	Data 0.009 (0.181)	Loss 2.5380 (2.5814)	Prec@1 40.625 (37.741)	Prec@5 68.750 (67.567)
Epoch: [70][4470/7045]	Time 0.102 (0.247)	Data 0.007 (0.181)	Loss 2.5773 (2.5814)	Prec@1 41.406 (37.744)	Prec@5 67.969 (67.566)
Epoch: [70][4480/7045]	Time 0.101 (0.247)	Data 0.001 (0.181)	Loss 2.6834 (2.5816)	Prec@1 34.375 (37.740)	Prec@5 66.406 (67.564)
Epoch: [70][4490/7045]	Time 0.347 (0.247)	Data 0.296 (0.181)	Loss 2.6495 (2.5816)	Prec@1 34.766 (37.737)	Prec@5 66.797 (67.562)
Epoch: [70][4500/7045]	Time 0.104 (0.247)	Data 0.001 (0.181)	Loss 2.4358 (2.5817)	Prec@1 40.625 (37.735)	Prec@5 72.266 (67.562)
Epoch: [70][4510/7045]	Time 0.524 (0.247)	Data 0.467 (0.181)	Loss 2.5921 (2.5815)	Prec@1 37.109 (37.741)	Prec@5 64.844 (67.563)
Epoch: [70][4520/7045]	Time 0.186 (0.247)	Data 0.136 (0.181)	Loss 2.6668 (2.5815)	Prec@1 39.062 (37.740)	Prec@5 62.891 (67.561)
Epoch: [70][4530/7045]	Time 0.428 (0.247)	Data 0.378 (0.181)	Loss 2.5513 (2.5816)	Prec@1 36.328 (37.737)	Prec@5 64.453 (67.559)
Epoch: [70][4540/7045]	Time 0.348 (0.247)	Data 0.297 (0.181)	Loss 2.5931 (2.5817)	Prec@1 40.625 (37.736)	Prec@5 64.453 (67.558)
Epoch: [70][4550/7045]	Time 0.102 (0.247)	Data 0.001 (0.181)	Loss 2.6103 (2.5816)	Prec@1 36.719 (37.737)	Prec@5 66.406 (67.560)
Epoch: [70][4560/7045]	Time 0.303 (0.247)	Data 0.250 (0.181)	Loss 2.6986 (2.5816)	Prec@1 36.719 (37.738)	Prec@5 66.016 (67.559)
Epoch: [70][4570/7045]	Time 0.110 (0.247)	Data 0.003 (0.181)	Loss 2.4250 (2.5816)	Prec@1 44.922 (37.738)	Prec@5 70.703 (67.560)
Epoch: [70][4580/7045]	Time 0.275 (0.247)	Data 0.224 (0.181)	Loss 2.6224 (2.5817)	Prec@1 38.672 (37.737)	Prec@5 68.359 (67.559)
Epoch: [70][4590/7045]	Time 0.102 (0.247)	Data 0.001 (0.181)	Loss 2.6795 (2.5818)	Prec@1 35.156 (37.735)	Prec@5 66.406 (67.556)
Epoch: [70][4600/7045]	Time 0.213 (0.247)	Data 0.161 (0.181)	Loss 2.6300 (2.5819)	Prec@1 38.281 (37.734)	Prec@5 63.281 (67.556)
Epoch: [70][4610/7045]	Time 0.103 (0.247)	Data 0.001 (0.181)	Loss 2.3961 (2.5818)	Prec@1 40.625 (37.735)	Prec@5 66.797 (67.555)
Epoch: [70][4620/7045]	Time 0.383 (0.247)	Data 0.332 (0.181)	Loss 2.4808 (2.5819)	Prec@1 38.281 (37.733)	Prec@5 69.922 (67.553)
Epoch: [70][4630/7045]	Time 0.218 (0.247)	Data 0.167 (0.181)	Loss 2.5606 (2.5820)	Prec@1 38.672 (37.731)	Prec@5 67.969 (67.552)
Epoch: [70][4640/7045]	Time 0.215 (0.247)	Data 0.164 (0.181)	Loss 2.4577 (2.5821)	Prec@1 39.453 (37.734)	Prec@5 71.484 (67.551)
Epoch: [70][4650/7045]	Time 0.393 (0.247)	Data 0.341 (0.181)	Loss 2.6375 (2.5822)	Prec@1 40.625 (37.733)	Prec@5 64.062 (67.547)
Epoch: [70][4660/7045]	Time 0.100 (0.247)	Data 0.001 (0.181)	Loss 2.4708 (2.5821)	Prec@1 37.891 (37.736)	Prec@5 71.094 (67.548)
Epoch: [70][4670/7045]	Time 0.126 (0.247)	Data 0.074 (0.181)	Loss 2.6189 (2.5821)	Prec@1 33.984 (37.736)	Prec@5 66.406 (67.549)
Epoch: [70][4680/7045]	Time 0.115 (0.247)	Data 0.064 (0.181)	Loss 2.8577 (2.5821)	Prec@1 32.031 (37.739)	Prec@5 62.500 (67.550)
Epoch: [70][4690/7045]	Time 0.379 (0.247)	Data 0.328 (0.181)	Loss 2.4447 (2.5820)	Prec@1 41.406 (37.737)	Prec@5 70.703 (67.549)
Epoch: [70][4700/7045]	Time 0.261 (0.247)	Data 0.210 (0.181)	Loss 2.4012 (2.5821)	Prec@1 42.969 (37.735)	Prec@5 70.312 (67.548)
Epoch: [70][4710/7045]	Time 0.184 (0.247)	Data 0.134 (0.181)	Loss 2.6111 (2.5821)	Prec@1 35.156 (37.735)	Prec@5 69.141 (67.550)
Epoch: [70][4720/7045]	Time 0.436 (0.247)	Data 0.384 (0.181)	Loss 2.6565 (2.5821)	Prec@1 39.453 (37.736)	Prec@5 65.234 (67.552)
Epoch: [70][4730/7045]	Time 0.172 (0.247)	Data 0.118 (0.181)	Loss 2.5976 (2.5819)	Prec@1 38.672 (37.740)	Prec@5 67.188 (67.555)
Epoch: [70][4740/7045]	Time 0.583 (0.247)	Data 0.532 (0.181)	Loss 2.6272 (2.5820)	Prec@1 34.766 (37.737)	Prec@5 67.578 (67.554)
Epoch: [70][4750/7045]	Time 0.104 (0.247)	Data 0.052 (0.181)	Loss 2.4640 (2.5820)	Prec@1 40.234 (37.739)	Prec@5 71.094 (67.556)
Epoch: [70][4760/7045]	Time 0.102 (0.247)	Data 0.005 (0.181)	Loss 2.7228 (2.5820)	Prec@1 33.203 (37.741)	Prec@5 61.328 (67.554)
Epoch: [70][4770/7045]	Time 0.123 (0.247)	Data 0.072 (0.181)	Loss 2.6650 (2.5820)	Prec@1 36.328 (37.742)	Prec@5 67.969 (67.553)
Epoch: [70][4780/7045]	Time 0.162 (0.247)	Data 0.111 (0.181)	Loss 2.8308 (2.5821)	Prec@1 32.812 (37.740)	Prec@5 62.500 (67.548)
Epoch: [70][4790/7045]	Time 0.116 (0.247)	Data 0.062 (0.181)	Loss 2.7071 (2.5821)	Prec@1 35.938 (37.742)	Prec@5 62.109 (67.548)
Epoch: [70][4800/7045]	Time 0.102 (0.247)	Data 0.006 (0.181)	Loss 2.7655 (2.5821)	Prec@1 34.375 (37.740)	Prec@5 64.453 (67.547)
Epoch: [70][4810/7045]	Time 0.112 (0.247)	Data 0.060 (0.181)	Loss 2.5015 (2.5820)	Prec@1 40.625 (37.743)	Prec@5 68.359 (67.550)
Epoch: [70][4820/7045]	Time 0.102 (0.247)	Data 0.001 (0.181)	Loss 2.5948 (2.5819)	Prec@1 38.281 (37.743)	Prec@5 70.703 (67.551)
Epoch: [70][4830/7045]	Time 0.102 (0.247)	Data 0.007 (0.181)	Loss 2.4105 (2.5820)	Prec@1 34.766 (37.741)	Prec@5 73.047 (67.551)
Epoch: [70][4840/7045]	Time 0.424 (0.247)	Data 0.373 (0.182)	Loss 2.7154 (2.5820)	Prec@1 35.938 (37.741)	Prec@5 64.844 (67.550)
Epoch: [70][4850/7045]	Time 0.228 (0.247)	Data 0.178 (0.181)	Loss 2.5263 (2.5820)	Prec@1 39.844 (37.738)	Prec@5 70.703 (67.549)
Epoch: [70][4860/7045]	Time 0.102 (0.247)	Data 0.003 (0.181)	Loss 2.6468 (2.5821)	Prec@1 37.891 (37.737)	Prec@5 67.188 (67.547)
Epoch: [70][4870/7045]	Time 0.634 (0.247)	Data 0.584 (0.181)	Loss 2.7862 (2.5822)	Prec@1 33.984 (37.738)	Prec@5 62.891 (67.545)
Epoch: [70][4880/7045]	Time 0.119 (0.247)	Data 0.059 (0.181)	Loss 2.8188 (2.5822)	Prec@1 28.906 (37.738)	Prec@5 65.625 (67.547)
Epoch: [70][4890/7045]	Time 0.293 (0.247)	Data 0.243 (0.181)	Loss 2.5618 (2.5822)	Prec@1 34.766 (37.736)	Prec@5 67.578 (67.546)
Epoch: [70][4900/7045]	Time 0.406 (0.247)	Data 0.356 (0.181)	Loss 2.6463 (2.5822)	Prec@1 34.766 (37.739)	Prec@5 63.672 (67.545)
Epoch: [70][4910/7045]	Time 0.104 (0.247)	Data 0.001 (0.181)	Loss 2.6409 (2.5821)	Prec@1 37.891 (37.739)	Prec@5 67.188 (67.545)
Epoch: [70][4920/7045]	Time 0.246 (0.247)	Data 0.195 (0.181)	Loss 2.6232 (2.5822)	Prec@1 35.156 (37.737)	Prec@5 60.938 (67.543)
Epoch: [70][4930/7045]	Time 0.102 (0.247)	Data 0.001 (0.181)	Loss 2.4803 (2.5823)	Prec@1 39.062 (37.736)	Prec@5 71.875 (67.543)
Epoch: [70][4940/7045]	Time 0.160 (0.247)	Data 0.109 (0.181)	Loss 3.0036 (2.5824)	Prec@1 33.984 (37.734)	Prec@5 61.719 (67.540)
Epoch: [70][4950/7045]	Time 0.103 (0.247)	Data 0.049 (0.181)	Loss 2.5207 (2.5824)	Prec@1 35.156 (37.734)	Prec@5 64.844 (67.540)
Epoch: [70][4960/7045]	Time 0.102 (0.247)	Data 0.007 (0.181)	Loss 2.5210 (2.5822)	Prec@1 38.281 (37.736)	Prec@5 67.578 (67.540)
Epoch: [70][4970/7045]	Time 0.110 (0.247)	Data 0.001 (0.181)	Loss 2.4392 (2.5822)	Prec@1 38.672 (37.737)	Prec@5 69.141 (67.539)
Epoch: [70][4980/7045]	Time 0.102 (0.247)	Data 0.001 (0.181)	Loss 2.9252 (2.5823)	Prec@1 29.297 (37.734)	Prec@5 60.156 (67.537)
Epoch: [70][4990/7045]	Time 0.158 (0.247)	Data 0.107 (0.181)	Loss 2.5242 (2.5823)	Prec@1 39.844 (37.732)	Prec@5 64.844 (67.536)
Epoch: [70][5000/7045]	Time 0.829 (0.247)	Data 0.778 (0.181)	Loss 2.5210 (2.5824)	Prec@1 37.500 (37.729)	Prec@5 67.578 (67.533)
Epoch: [70][5010/7045]	Time 0.106 (0.247)	Data 0.053 (0.181)	Loss 2.3977 (2.5824)	Prec@1 44.922 (37.731)	Prec@5 70.312 (67.533)
Epoch: [70][5020/7045]	Time 0.360 (0.247)	Data 0.308 (0.181)	Loss 2.5064 (2.5824)	Prec@1 39.453 (37.729)	Prec@5 67.578 (67.532)
Epoch: [70][5030/7045]	Time 0.290 (0.247)	Data 0.239 (0.181)	Loss 2.4772 (2.5824)	Prec@1 38.672 (37.728)	Prec@5 71.094 (67.533)
Epoch: [70][5040/7045]	Time 0.102 (0.247)	Data 0.001 (0.181)	Loss 2.5829 (2.5825)	Prec@1 37.109 (37.726)	Prec@5 66.797 (67.532)
Epoch: [70][5050/7045]	Time 0.382 (0.247)	Data 0.331 (0.181)	Loss 2.4987 (2.5824)	Prec@1 39.062 (37.728)	Prec@5 67.188 (67.534)
Epoch: [70][5060/7045]	Time 0.103 (0.247)	Data 0.004 (0.181)	Loss 2.6612 (2.5825)	Prec@1 37.891 (37.729)	Prec@5 62.891 (67.530)
Epoch: [70][5070/7045]	Time 0.394 (0.247)	Data 0.343 (0.181)	Loss 2.5830 (2.5824)	Prec@1 35.156 (37.728)	Prec@5 69.531 (67.532)
Epoch: [70][5080/7045]	Time 0.101 (0.247)	Data 0.001 (0.181)	Loss 2.6674 (2.5823)	Prec@1 35.156 (37.729)	Prec@5 66.016 (67.532)
Epoch: [70][5090/7045]	Time 0.102 (0.247)	Data 0.002 (0.181)	Loss 2.6852 (2.5824)	Prec@1 33.594 (37.727)	Prec@5 68.359 (67.534)
Epoch: [70][5100/7045]	Time 0.245 (0.247)	Data 0.194 (0.181)	Loss 2.4812 (2.5823)	Prec@1 41.016 (37.727)	Prec@5 67.578 (67.535)
Epoch: [70][5110/7045]	Time 0.102 (0.247)	Data 0.004 (0.181)	Loss 2.4156 (2.5823)	Prec@1 43.359 (37.727)	Prec@5 69.141 (67.534)
Epoch: [70][5120/7045]	Time 0.286 (0.247)	Data 0.230 (0.181)	Loss 2.3880 (2.5823)	Prec@1 39.062 (37.728)	Prec@5 69.922 (67.533)
Epoch: [70][5130/7045]	Time 0.418 (0.247)	Data 0.367 (0.181)	Loss 2.4085 (2.5822)	Prec@1 42.188 (37.727)	Prec@5 67.188 (67.534)
Epoch: [70][5140/7045]	Time 0.100 (0.247)	Data 0.001 (0.181)	Loss 2.6260 (2.5822)	Prec@1 37.891 (37.727)	Prec@5 64.844 (67.533)
Epoch: [70][5150/7045]	Time 0.579 (0.247)	Data 0.522 (0.181)	Loss 2.7341 (2.5823)	Prec@1 39.453 (37.726)	Prec@5 63.281 (67.533)
Epoch: [70][5160/7045]	Time 0.102 (0.247)	Data 0.001 (0.181)	Loss 2.7785 (2.5824)	Prec@1 35.156 (37.725)	Prec@5 64.453 (67.531)
Epoch: [70][5170/7045]	Time 0.171 (0.247)	Data 0.120 (0.181)	Loss 2.5494 (2.5824)	Prec@1 40.234 (37.725)	Prec@5 69.922 (67.532)
Epoch: [70][5180/7045]	Time 0.246 (0.247)	Data 0.195 (0.181)	Loss 2.5395 (2.5825)	Prec@1 38.672 (37.723)	Prec@5 67.969 (67.530)
Epoch: [70][5190/7045]	Time 0.136 (0.247)	Data 0.086 (0.181)	Loss 2.6855 (2.5825)	Prec@1 33.984 (37.725)	Prec@5 63.281 (67.530)
Epoch: [70][5200/7045]	Time 0.196 (0.247)	Data 0.146 (0.181)	Loss 2.5740 (2.5825)	Prec@1 35.938 (37.724)	Prec@5 67.578 (67.531)
Epoch: [70][5210/7045]	Time 0.108 (0.247)	Data 0.058 (0.181)	Loss 2.6393 (2.5826)	Prec@1 35.938 (37.720)	Prec@5 62.891 (67.528)
Epoch: [70][5220/7045]	Time 0.179 (0.247)	Data 0.128 (0.181)	Loss 2.3934 (2.5826)	Prec@1 45.703 (37.722)	Prec@5 70.312 (67.528)
Epoch: [70][5230/7045]	Time 0.102 (0.247)	Data 0.001 (0.181)	Loss 2.4910 (2.5826)	Prec@1 40.625 (37.721)	Prec@5 68.750 (67.527)
Epoch: [70][5240/7045]	Time 0.102 (0.247)	Data 0.001 (0.181)	Loss 2.5729 (2.5824)	Prec@1 41.797 (37.727)	Prec@5 70.312 (67.532)
Epoch: [70][5250/7045]	Time 0.223 (0.247)	Data 0.173 (0.181)	Loss 2.5392 (2.5824)	Prec@1 36.328 (37.724)	Prec@5 69.531 (67.534)
Epoch: [70][5260/7045]	Time 0.139 (0.247)	Data 0.088 (0.181)	Loss 2.7041 (2.5824)	Prec@1 39.453 (37.725)	Prec@5 66.016 (67.535)
Epoch: [70][5270/7045]	Time 0.110 (0.247)	Data 0.011 (0.181)	Loss 2.4842 (2.5824)	Prec@1 39.844 (37.727)	Prec@5 72.266 (67.535)
Epoch: [70][5280/7045]	Time 0.103 (0.247)	Data 0.046 (0.181)	Loss 2.4723 (2.5824)	Prec@1 39.844 (37.728)	Prec@5 71.875 (67.536)
Epoch: [70][5290/7045]	Time 0.110 (0.247)	Data 0.001 (0.181)	Loss 2.5905 (2.5823)	Prec@1 36.719 (37.727)	Prec@5 67.188 (67.535)
Epoch: [70][5300/7045]	Time 0.106 (0.247)	Data 0.001 (0.181)	Loss 2.3461 (2.5824)	Prec@1 39.844 (37.726)	Prec@5 69.922 (67.533)
Epoch: [70][5310/7045]	Time 0.112 (0.247)	Data 0.001 (0.181)	Loss 2.5011 (2.5823)	Prec@1 39.062 (37.724)	Prec@5 69.141 (67.537)
Epoch: [70][5320/7045]	Time 0.542 (0.247)	Data 0.490 (0.181)	Loss 2.5980 (2.5824)	Prec@1 33.203 (37.722)	Prec@5 67.578 (67.535)
Epoch: [70][5330/7045]	Time 0.103 (0.247)	Data 0.001 (0.181)	Loss 2.5486 (2.5824)	Prec@1 36.328 (37.721)	Prec@5 68.359 (67.537)
Epoch: [70][5340/7045]	Time 0.606 (0.247)	Data 0.555 (0.181)	Loss 2.8275 (2.5824)	Prec@1 34.375 (37.720)	Prec@5 61.719 (67.536)
Epoch: [70][5350/7045]	Time 0.138 (0.247)	Data 0.087 (0.181)	Loss 2.4399 (2.5825)	Prec@1 35.938 (37.718)	Prec@5 68.359 (67.536)
Epoch: [70][5360/7045]	Time 0.101 (0.247)	Data 0.003 (0.181)	Loss 2.7772 (2.5825)	Prec@1 33.594 (37.716)	Prec@5 63.672 (67.536)
Epoch: [70][5370/7045]	Time 0.102 (0.247)	Data 0.001 (0.181)	Loss 2.9473 (2.5826)	Prec@1 25.781 (37.714)	Prec@5 61.328 (67.534)
Epoch: [70][5380/7045]	Time 0.248 (0.247)	Data 0.190 (0.181)	Loss 2.7719 (2.5827)	Prec@1 33.984 (37.712)	Prec@5 65.625 (67.533)
Epoch: [70][5390/7045]	Time 0.336 (0.247)	Data 0.286 (0.181)	Loss 2.5659 (2.5827)	Prec@1 38.672 (37.712)	Prec@5 66.797 (67.533)
Epoch: [70][5400/7045]	Time 0.184 (0.247)	Data 0.134 (0.181)	Loss 2.4900 (2.5827)	Prec@1 39.062 (37.713)	Prec@5 68.359 (67.533)
Epoch: [70][5410/7045]	Time 0.269 (0.247)	Data 0.217 (0.181)	Loss 2.4297 (2.5826)	Prec@1 39.062 (37.712)	Prec@5 69.922 (67.533)
Epoch: [70][5420/7045]	Time 0.398 (0.247)	Data 0.347 (0.181)	Loss 2.5992 (2.5827)	Prec@1 39.453 (37.712)	Prec@5 66.797 (67.533)
Epoch: [70][5430/7045]	Time 0.237 (0.247)	Data 0.178 (0.181)	Loss 2.4930 (2.5825)	Prec@1 42.578 (37.717)	Prec@5 71.094 (67.535)
Epoch: [70][5440/7045]	Time 0.424 (0.247)	Data 0.373 (0.181)	Loss 2.3849 (2.5825)	Prec@1 41.797 (37.717)	Prec@5 75.781 (67.537)
Epoch: [70][5450/7045]	Time 0.234 (0.247)	Data 0.183 (0.181)	Loss 2.3011 (2.5826)	Prec@1 41.406 (37.716)	Prec@5 74.219 (67.535)
Epoch: [70][5460/7045]	Time 0.102 (0.247)	Data 0.008 (0.181)	Loss 2.7291 (2.5826)	Prec@1 33.594 (37.714)	Prec@5 63.281 (67.534)
Epoch: [70][5470/7045]	Time 0.102 (0.247)	Data 0.004 (0.181)	Loss 2.7383 (2.5826)	Prec@1 34.375 (37.712)	Prec@5 65.234 (67.534)
Epoch: [70][5480/7045]	Time 0.457 (0.247)	Data 0.399 (0.181)	Loss 2.7409 (2.5826)	Prec@1 38.672 (37.712)	Prec@5 62.891 (67.536)
Epoch: [70][5490/7045]	Time 0.294 (0.247)	Data 0.234 (0.181)	Loss 2.6146 (2.5828)	Prec@1 34.766 (37.710)	Prec@5 66.406 (67.533)
Epoch: [70][5500/7045]	Time 0.280 (0.247)	Data 0.227 (0.181)	Loss 2.5802 (2.5828)	Prec@1 34.766 (37.711)	Prec@5 66.797 (67.531)
Epoch: [70][5510/7045]	Time 0.103 (0.247)	Data 0.001 (0.181)	Loss 2.6056 (2.5828)	Prec@1 38.281 (37.711)	Prec@5 64.844 (67.529)
Epoch: [70][5520/7045]	Time 0.137 (0.247)	Data 0.079 (0.181)	Loss 2.6928 (2.5828)	Prec@1 33.594 (37.712)	Prec@5 64.062 (67.531)
Epoch: [70][5530/7045]	Time 0.353 (0.247)	Data 0.301 (0.181)	Loss 2.6646 (2.5828)	Prec@1 34.766 (37.712)	Prec@5 65.625 (67.530)
Epoch: [70][5540/7045]	Time 0.103 (0.247)	Data 0.003 (0.181)	Loss 2.5099 (2.5828)	Prec@1 39.844 (37.713)	Prec@5 67.578 (67.530)
Epoch: [70][5550/7045]	Time 0.866 (0.247)	Data 0.815 (0.181)	Loss 2.5871 (2.5828)	Prec@1 37.500 (37.713)	Prec@5 64.062 (67.530)
Epoch: [70][5560/7045]	Time 0.103 (0.247)	Data 0.001 (0.181)	Loss 2.6211 (2.5828)	Prec@1 38.281 (37.711)	Prec@5 66.016 (67.530)
Epoch: [70][5570/7045]	Time 0.534 (0.247)	Data 0.483 (0.181)	Loss 2.6176 (2.5828)	Prec@1 36.328 (37.712)	Prec@5 63.281 (67.528)
Epoch: [70][5580/7045]	Time 0.102 (0.247)	Data 0.001 (0.181)	Loss 2.5454 (2.5828)	Prec@1 38.672 (37.709)	Prec@5 65.625 (67.527)
Epoch: [70][5590/7045]	Time 0.116 (0.247)	Data 0.064 (0.181)	Loss 2.5329 (2.5828)	Prec@1 39.062 (37.709)	Prec@5 69.922 (67.527)
Epoch: [70][5600/7045]	Time 0.109 (0.247)	Data 0.053 (0.181)	Loss 2.3607 (2.5827)	Prec@1 42.188 (37.710)	Prec@5 74.219 (67.529)
Epoch: [70][5610/7045]	Time 0.224 (0.247)	Data 0.167 (0.181)	Loss 2.5367 (2.5827)	Prec@1 34.766 (37.709)	Prec@5 71.484 (67.530)
Epoch: [70][5620/7045]	Time 0.373 (0.247)	Data 0.321 (0.181)	Loss 2.4027 (2.5828)	Prec@1 41.406 (37.707)	Prec@5 71.484 (67.529)
Epoch: [70][5630/7045]	Time 0.158 (0.247)	Data 0.107 (0.181)	Loss 2.6555 (2.5828)	Prec@1 34.375 (37.707)	Prec@5 65.625 (67.528)
Epoch: [70][5640/7045]	Time 0.259 (0.247)	Data 0.207 (0.181)	Loss 2.5479 (2.5828)	Prec@1 36.328 (37.707)	Prec@5 67.578 (67.529)
Epoch: [70][5650/7045]	Time 0.183 (0.247)	Data 0.132 (0.181)	Loss 2.8150 (2.5829)	Prec@1 35.938 (37.704)	Prec@5 57.812 (67.526)
Epoch: [70][5660/7045]	Time 0.486 (0.247)	Data 0.435 (0.181)	Loss 2.6192 (2.5830)	Prec@1 35.156 (37.703)	Prec@5 66.016 (67.525)
Epoch: [70][5670/7045]	Time 0.200 (0.247)	Data 0.149 (0.181)	Loss 2.7565 (2.5831)	Prec@1 35.547 (37.703)	Prec@5 64.062 (67.524)
Epoch: [70][5680/7045]	Time 0.392 (0.247)	Data 0.341 (0.181)	Loss 2.6245 (2.5831)	Prec@1 37.500 (37.704)	Prec@5 66.016 (67.522)
Epoch: [70][5690/7045]	Time 0.107 (0.247)	Data 0.053 (0.181)	Loss 2.5248 (2.5831)	Prec@1 37.500 (37.702)	Prec@5 67.969 (67.522)
Epoch: [70][5700/7045]	Time 0.465 (0.247)	Data 0.405 (0.181)	Loss 2.5638 (2.5831)	Prec@1 37.500 (37.700)	Prec@5 64.844 (67.522)
Epoch: [70][5710/7045]	Time 0.110 (0.247)	Data 0.058 (0.181)	Loss 2.6350 (2.5832)	Prec@1 37.109 (37.700)	Prec@5 69.922 (67.521)
Epoch: [70][5720/7045]	Time 0.592 (0.247)	Data 0.541 (0.181)	Loss 2.6986 (2.5832)	Prec@1 34.375 (37.698)	Prec@5 62.109 (67.519)
Epoch: [70][5730/7045]	Time 0.180 (0.247)	Data 0.129 (0.181)	Loss 2.5763 (2.5832)	Prec@1 37.500 (37.697)	Prec@5 67.578 (67.519)
Epoch: [70][5740/7045]	Time 0.102 (0.247)	Data 0.005 (0.181)	Loss 2.5489 (2.5832)	Prec@1 37.109 (37.698)	Prec@5 68.750 (67.519)
Epoch: [70][5750/7045]	Time 0.452 (0.247)	Data 0.400 (0.181)	Loss 2.7030 (2.5831)	Prec@1 37.500 (37.701)	Prec@5 63.672 (67.519)
Epoch: [70][5760/7045]	Time 0.100 (0.247)	Data 0.001 (0.181)	Loss 2.6626 (2.5831)	Prec@1 32.422 (37.702)	Prec@5 66.406 (67.518)
Epoch: [70][5770/7045]	Time 0.207 (0.247)	Data 0.156 (0.181)	Loss 2.8125 (2.5831)	Prec@1 32.031 (37.698)	Prec@5 61.328 (67.518)
Epoch: [70][5780/7045]	Time 0.242 (0.247)	Data 0.184 (0.182)	Loss 2.5313 (2.5831)	Prec@1 39.453 (37.700)	Prec@5 69.922 (67.519)
Epoch: [70][5790/7045]	Time 0.753 (0.247)	Data 0.701 (0.182)	Loss 2.3537 (2.5830)	Prec@1 44.922 (37.702)	Prec@5 69.141 (67.517)
Epoch: [70][5800/7045]	Time 0.116 (0.247)	Data 0.059 (0.182)	Loss 2.8056 (2.5831)	Prec@1 37.891 (37.702)	Prec@5 62.891 (67.515)
Epoch: [70][5810/7045]	Time 0.711 (0.247)	Data 0.650 (0.182)	Loss 2.3767 (2.5831)	Prec@1 42.969 (37.704)	Prec@5 73.047 (67.517)
Epoch: [70][5820/7045]	Time 0.109 (0.247)	Data 0.008 (0.182)	Loss 2.6491 (2.5831)	Prec@1 36.328 (37.704)	Prec@5 67.188 (67.516)
Epoch: [70][5830/7045]	Time 0.375 (0.247)	Data 0.324 (0.182)	Loss 2.7390 (2.5832)	Prec@1 37.500 (37.702)	Prec@5 65.625 (67.515)
Epoch: [70][5840/7045]	Time 0.243 (0.247)	Data 0.192 (0.182)	Loss 2.7664 (2.5832)	Prec@1 39.062 (37.705)	Prec@5 63.281 (67.515)
Epoch: [70][5850/7045]	Time 0.227 (0.247)	Data 0.175 (0.182)	Loss 2.4135 (2.5831)	Prec@1 43.359 (37.707)	Prec@5 68.750 (67.516)
Epoch: [70][5860/7045]	Time 0.248 (0.248)	Data 0.197 (0.182)	Loss 2.4953 (2.5831)	Prec@1 37.500 (37.708)	Prec@5 67.578 (67.517)
Epoch: [70][5870/7045]	Time 0.102 (0.248)	Data 0.001 (0.182)	Loss 2.8819 (2.5831)	Prec@1 31.641 (37.708)	Prec@5 60.938 (67.517)
Epoch: [70][5880/7045]	Time 0.156 (0.248)	Data 0.105 (0.182)	Loss 2.3898 (2.5831)	Prec@1 42.969 (37.709)	Prec@5 70.703 (67.515)
Epoch: [70][5890/7045]	Time 0.101 (0.248)	Data 0.001 (0.182)	Loss 2.6358 (2.5831)	Prec@1 37.500 (37.711)	Prec@5 66.016 (67.516)
Epoch: [70][5900/7045]	Time 0.294 (0.248)	Data 0.241 (0.182)	Loss 2.7163 (2.5831)	Prec@1 37.500 (37.711)	Prec@5 70.312 (67.517)
Epoch: [70][5910/7045]	Time 0.100 (0.248)	Data 0.009 (0.182)	Loss 2.5161 (2.5832)	Prec@1 40.625 (37.710)	Prec@5 69.141 (67.517)
Epoch: [70][5920/7045]	Time 0.411 (0.248)	Data 0.360 (0.182)	Loss 2.5835 (2.5831)	Prec@1 32.812 (37.709)	Prec@5 67.578 (67.518)
Epoch: [70][5930/7045]	Time 0.102 (0.248)	Data 0.001 (0.182)	Loss 2.6843 (2.5831)	Prec@1 33.594 (37.709)	Prec@5 68.359 (67.521)
Epoch: [70][5940/7045]	Time 0.267 (0.248)	Data 0.215 (0.182)	Loss 2.5798 (2.5831)	Prec@1 41.797 (37.710)	Prec@5 64.844 (67.521)
Epoch: [70][5950/7045]	Time 0.101 (0.248)	Data 0.020 (0.182)	Loss 2.5658 (2.5831)	Prec@1 37.109 (37.710)	Prec@5 68.359 (67.523)
Epoch: [70][5960/7045]	Time 0.147 (0.248)	Data 0.095 (0.182)	Loss 2.4854 (2.5831)	Prec@1 37.109 (37.709)	Prec@5 69.141 (67.522)
Epoch: [70][5970/7045]	Time 0.202 (0.248)	Data 0.151 (0.182)	Loss 2.7258 (2.5831)	Prec@1 35.156 (37.711)	Prec@5 64.453 (67.522)
Epoch: [70][5980/7045]	Time 0.120 (0.248)	Data 0.069 (0.182)	Loss 2.5373 (2.5831)	Prec@1 37.500 (37.710)	Prec@5 70.703 (67.523)
Epoch: [70][5990/7045]	Time 0.294 (0.248)	Data 0.242 (0.182)	Loss 2.4585 (2.5831)	Prec@1 39.062 (37.707)	Prec@5 69.922 (67.524)
Epoch: [70][6000/7045]	Time 0.332 (0.248)	Data 0.281 (0.182)	Loss 2.6623 (2.5832)	Prec@1 35.938 (37.704)	Prec@5 65.234 (67.522)
Epoch: [70][6010/7045]	Time 0.101 (0.248)	Data 0.015 (0.182)	Loss 2.5328 (2.5832)	Prec@1 37.891 (37.704)	Prec@5 67.969 (67.523)
Epoch: [70][6020/7045]	Time 0.355 (0.248)	Data 0.303 (0.182)	Loss 2.6914 (2.5833)	Prec@1 33.984 (37.703)	Prec@5 64.453 (67.521)
Epoch: [70][6030/7045]	Time 0.102 (0.248)	Data 0.003 (0.182)	Loss 2.6808 (2.5832)	Prec@1 33.203 (37.703)	Prec@5 67.578 (67.522)
Epoch: [70][6040/7045]	Time 0.612 (0.248)	Data 0.562 (0.182)	Loss 2.6494 (2.5833)	Prec@1 37.500 (37.703)	Prec@5 66.797 (67.520)
Epoch: [70][6050/7045]	Time 0.202 (0.248)	Data 0.151 (0.182)	Loss 2.5647 (2.5831)	Prec@1 39.453 (37.705)	Prec@5 66.797 (67.523)
Epoch: [70][6060/7045]	Time 0.666 (0.248)	Data 0.615 (0.182)	Loss 2.5406 (2.5832)	Prec@1 39.062 (37.704)	Prec@5 66.406 (67.523)
Epoch: [70][6070/7045]	Time 0.101 (0.248)	Data 0.001 (0.182)	Loss 2.5075 (2.5834)	Prec@1 39.453 (37.700)	Prec@5 70.703 (67.520)
Epoch: [70][6080/7045]	Time 0.644 (0.248)	Data 0.594 (0.182)	Loss 2.6461 (2.5834)	Prec@1 37.891 (37.700)	Prec@5 67.969 (67.518)
Epoch: [70][6090/7045]	Time 0.109 (0.248)	Data 0.001 (0.182)	Loss 2.7736 (2.5834)	Prec@1 35.156 (37.703)	Prec@5 66.797 (67.519)
Epoch: [70][6100/7045]	Time 0.301 (0.248)	Data 0.249 (0.182)	Loss 2.5238 (2.5835)	Prec@1 41.797 (37.705)	Prec@5 69.531 (67.519)
Epoch: [70][6110/7045]	Time 0.212 (0.248)	Data 0.152 (0.182)	Loss 2.6615 (2.5835)	Prec@1 37.500 (37.706)	Prec@5 66.406 (67.521)
Epoch: [70][6120/7045]	Time 0.230 (0.248)	Data 0.179 (0.182)	Loss 2.6630 (2.5835)	Prec@1 36.719 (37.704)	Prec@5 66.016 (67.520)
Epoch: [70][6130/7045]	Time 0.188 (0.248)	Data 0.135 (0.182)	Loss 2.5494 (2.5834)	Prec@1 42.969 (37.707)	Prec@5 67.969 (67.522)
Epoch: [70][6140/7045]	Time 0.546 (0.248)	Data 0.495 (0.182)	Loss 2.2353 (2.5832)	Prec@1 45.703 (37.710)	Prec@5 76.172 (67.525)
Epoch: [70][6150/7045]	Time 0.348 (0.248)	Data 0.295 (0.182)	Loss 2.6429 (2.5833)	Prec@1 33.984 (37.708)	Prec@5 63.281 (67.525)
Epoch: [70][6160/7045]	Time 0.104 (0.248)	Data 0.001 (0.182)	Loss 2.6949 (2.5834)	Prec@1 37.109 (37.707)	Prec@5 68.359 (67.523)
Epoch: [70][6170/7045]	Time 0.103 (0.248)	Data 0.002 (0.182)	Loss 2.5416 (2.5834)	Prec@1 35.938 (37.707)	Prec@5 66.406 (67.523)
Epoch: [70][6180/7045]	Time 0.135 (0.248)	Data 0.083 (0.182)	Loss 2.5164 (2.5834)	Prec@1 36.719 (37.706)	Prec@5 73.438 (67.525)
Epoch: [70][6190/7045]	Time 0.214 (0.248)	Data 0.163 (0.182)	Loss 2.6909 (2.5835)	Prec@1 36.328 (37.705)	Prec@5 64.062 (67.523)
Epoch: [70][6200/7045]	Time 0.133 (0.248)	Data 0.081 (0.182)	Loss 2.6368 (2.5835)	Prec@1 34.375 (37.704)	Prec@5 65.625 (67.524)
Epoch: [70][6210/7045]	Time 0.196 (0.248)	Data 0.144 (0.182)	Loss 2.7324 (2.5835)	Prec@1 36.328 (37.704)	Prec@5 66.406 (67.524)
Epoch: [70][6220/7045]	Time 0.400 (0.248)	Data 0.339 (0.182)	Loss 2.6364 (2.5835)	Prec@1 33.984 (37.703)	Prec@5 66.406 (67.522)
Epoch: [70][6230/7045]	Time 0.101 (0.248)	Data 0.001 (0.182)	Loss 2.5894 (2.5835)	Prec@1 32.812 (37.704)	Prec@5 66.016 (67.522)
Epoch: [70][6240/7045]	Time 0.529 (0.248)	Data 0.476 (0.183)	Loss 2.5789 (2.5836)	Prec@1 39.844 (37.703)	Prec@5 69.922 (67.520)
Epoch: [70][6250/7045]	Time 0.102 (0.248)	Data 0.013 (0.183)	Loss 2.8452 (2.5836)	Prec@1 34.375 (37.702)	Prec@5 59.375 (67.519)
Epoch: [70][6260/7045]	Time 0.453 (0.248)	Data 0.401 (0.183)	Loss 2.4304 (2.5837)	Prec@1 42.188 (37.702)	Prec@5 75.391 (67.518)
Epoch: [70][6270/7045]	Time 0.417 (0.248)	Data 0.366 (0.183)	Loss 2.2937 (2.5837)	Prec@1 42.188 (37.701)	Prec@5 77.344 (67.519)
Epoch: [70][6280/7045]	Time 0.260 (0.248)	Data 0.203 (0.183)	Loss 2.5289 (2.5836)	Prec@1 37.500 (37.702)	Prec@5 67.969 (67.520)
Epoch: [70][6290/7045]	Time 0.364 (0.248)	Data 0.313 (0.183)	Loss 2.5375 (2.5836)	Prec@1 35.156 (37.702)	Prec@5 65.625 (67.521)
Epoch: [70][6300/7045]	Time 0.102 (0.248)	Data 0.007 (0.183)	Loss 2.5859 (2.5835)	Prec@1 38.281 (37.703)	Prec@5 66.797 (67.521)
Epoch: [70][6310/7045]	Time 0.185 (0.248)	Data 0.133 (0.183)	Loss 2.5955 (2.5834)	Prec@1 39.062 (37.705)	Prec@5 65.625 (67.522)
Epoch: [70][6320/7045]	Time 0.102 (0.248)	Data 0.005 (0.183)	Loss 2.8093 (2.5834)	Prec@1 32.812 (37.705)	Prec@5 61.328 (67.521)
Epoch: [70][6330/7045]	Time 0.615 (0.248)	Data 0.562 (0.183)	Loss 2.4234 (2.5834)	Prec@1 38.672 (37.705)	Prec@5 69.531 (67.521)
Epoch: [70][6340/7045]	Time 0.111 (0.248)	Data 0.021 (0.183)	Loss 2.2693 (2.5835)	Prec@1 46.875 (37.704)	Prec@5 73.047 (67.520)
Epoch: [70][6350/7045]	Time 0.707 (0.248)	Data 0.654 (0.183)	Loss 2.5806 (2.5835)	Prec@1 36.328 (37.702)	Prec@5 66.797 (67.519)
Epoch: [70][6360/7045]	Time 0.112 (0.248)	Data 0.058 (0.183)	Loss 2.6250 (2.5835)	Prec@1 34.766 (37.702)	Prec@5 65.625 (67.520)
Epoch: [70][6370/7045]	Time 0.103 (0.248)	Data 0.001 (0.183)	Loss 2.5952 (2.5835)	Prec@1 38.672 (37.703)	Prec@5 67.188 (67.520)
Epoch: [70][6380/7045]	Time 0.313 (0.248)	Data 0.255 (0.183)	Loss 2.6801 (2.5835)	Prec@1 36.719 (37.701)	Prec@5 66.406 (67.519)
Epoch: [70][6390/7045]	Time 0.102 (0.248)	Data 0.007 (0.183)	Loss 2.5108 (2.5835)	Prec@1 42.188 (37.701)	Prec@5 68.359 (67.520)
Epoch: [70][6400/7045]	Time 0.108 (0.248)	Data 0.001 (0.183)	Loss 2.6272 (2.5835)	Prec@1 35.938 (37.697)	Prec@5 67.578 (67.516)
Epoch: [70][6410/7045]	Time 0.102 (0.248)	Data 0.025 (0.183)	Loss 2.7777 (2.5836)	Prec@1 33.594 (37.695)	Prec@5 64.453 (67.514)
Epoch: [70][6420/7045]	Time 0.304 (0.248)	Data 0.253 (0.183)	Loss 2.6804 (2.5837)	Prec@1 37.500 (37.695)	Prec@5 66.406 (67.512)
Epoch: [70][6430/7045]	Time 0.103 (0.248)	Data 0.006 (0.183)	Loss 2.5821 (2.5838)	Prec@1 35.547 (37.694)	Prec@5 67.578 (67.512)
Epoch: [70][6440/7045]	Time 0.413 (0.248)	Data 0.361 (0.183)	Loss 2.4276 (2.5836)	Prec@1 41.797 (37.697)	Prec@5 70.312 (67.515)
Epoch: [70][6450/7045]	Time 0.109 (0.248)	Data 0.005 (0.183)	Loss 2.4700 (2.5835)	Prec@1 40.234 (37.700)	Prec@5 69.922 (67.517)
Epoch: [70][6460/7045]	Time 0.413 (0.248)	Data 0.361 (0.183)	Loss 2.8572 (2.5836)	Prec@1 33.984 (37.697)	Prec@5 62.109 (67.516)
Epoch: [70][6470/7045]	Time 0.295 (0.248)	Data 0.243 (0.183)	Loss 2.6976 (2.5836)	Prec@1 31.641 (37.696)	Prec@5 65.234 (67.516)
Epoch: [70][6480/7045]	Time 0.348 (0.248)	Data 0.296 (0.183)	Loss 2.3678 (2.5835)	Prec@1 41.797 (37.698)	Prec@5 72.656 (67.517)
Epoch: [70][6490/7045]	Time 0.103 (0.248)	Data 0.001 (0.183)	Loss 2.3908 (2.5835)	Prec@1 44.141 (37.698)	Prec@5 71.875 (67.519)
Epoch: [70][6500/7045]	Time 0.405 (0.248)	Data 0.350 (0.183)	Loss 2.5529 (2.5836)	Prec@1 37.109 (37.698)	Prec@5 64.844 (67.518)
Epoch: [70][6510/7045]	Time 0.232 (0.248)	Data 0.180 (0.183)	Loss 2.6375 (2.5837)	Prec@1 37.891 (37.695)	Prec@5 66.797 (67.516)
Epoch: [70][6520/7045]	Time 0.102 (0.249)	Data 0.006 (0.183)	Loss 2.6359 (2.5837)	Prec@1 37.500 (37.696)	Prec@5 65.234 (67.515)
Epoch: [70][6530/7045]	Time 0.312 (0.249)	Data 0.260 (0.183)	Loss 2.7378 (2.5838)	Prec@1 36.719 (37.694)	Prec@5 66.406 (67.514)
Epoch: [70][6540/7045]	Time 0.101 (0.249)	Data 0.006 (0.183)	Loss 2.5095 (2.5837)	Prec@1 35.547 (37.695)	Prec@5 67.578 (67.516)
Epoch: [70][6550/7045]	Time 0.348 (0.249)	Data 0.295 (0.183)	Loss 2.4289 (2.5836)	Prec@1 40.625 (37.697)	Prec@5 71.094 (67.518)
Epoch: [70][6560/7045]	Time 0.369 (0.249)	Data 0.311 (0.183)	Loss 2.6920 (2.5835)	Prec@1 36.328 (37.697)	Prec@5 66.797 (67.519)
Epoch: [70][6570/7045]	Time 0.109 (0.249)	Data 0.058 (0.183)	Loss 2.3566 (2.5836)	Prec@1 46.094 (37.698)	Prec@5 71.484 (67.519)
Epoch: [70][6580/7045]	Time 0.672 (0.249)	Data 0.619 (0.183)	Loss 2.4389 (2.5836)	Prec@1 42.188 (37.699)	Prec@5 66.406 (67.518)
Epoch: [70][6590/7045]	Time 0.096 (0.249)	Data 0.001 (0.183)	Loss 2.5729 (2.5836)	Prec@1 36.719 (37.698)	Prec@5 66.797 (67.518)
Epoch: [70][6600/7045]	Time 0.188 (0.249)	Data 0.137 (0.183)	Loss 2.6869 (2.5836)	Prec@1 37.891 (37.698)	Prec@5 63.672 (67.518)
Epoch: [70][6610/7045]	Time 0.408 (0.249)	Data 0.350 (0.183)	Loss 2.6413 (2.5836)	Prec@1 36.328 (37.698)	Prec@5 66.016 (67.518)
Epoch: [70][6620/7045]	Time 0.141 (0.249)	Data 0.090 (0.183)	Loss 2.6753 (2.5836)	Prec@1 35.156 (37.698)	Prec@5 66.016 (67.519)
Epoch: [70][6630/7045]	Time 0.160 (0.249)	Data 0.109 (0.183)	Loss 2.6238 (2.5835)	Prec@1 40.234 (37.700)	Prec@5 67.578 (67.521)
Epoch: [70][6640/7045]	Time 0.290 (0.249)	Data 0.239 (0.183)	Loss 2.5430 (2.5835)	Prec@1 40.625 (37.702)	Prec@5 68.750 (67.521)
Epoch: [70][6650/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 2.6573 (2.5835)	Prec@1 39.453 (37.701)	Prec@5 65.234 (67.521)
Epoch: [70][6660/7045]	Time 0.262 (0.249)	Data 0.210 (0.183)	Loss 2.6110 (2.5835)	Prec@1 36.328 (37.700)	Prec@5 67.969 (67.522)
Epoch: [70][6670/7045]	Time 0.102 (0.249)	Data 0.009 (0.183)	Loss 2.5632 (2.5835)	Prec@1 35.547 (37.699)	Prec@5 68.750 (67.523)
Epoch: [70][6680/7045]	Time 0.310 (0.249)	Data 0.259 (0.183)	Loss 2.5034 (2.5835)	Prec@1 38.281 (37.699)	Prec@5 68.750 (67.525)
Epoch: [70][6690/7045]	Time 0.214 (0.249)	Data 0.159 (0.183)	Loss 2.5872 (2.5835)	Prec@1 39.844 (37.699)	Prec@5 69.141 (67.525)
Epoch: [70][6700/7045]	Time 0.150 (0.249)	Data 0.098 (0.184)	Loss 2.5358 (2.5836)	Prec@1 40.625 (37.698)	Prec@5 71.094 (67.525)
Epoch: [70][6710/7045]	Time 0.225 (0.249)	Data 0.173 (0.184)	Loss 2.3916 (2.5835)	Prec@1 43.359 (37.699)	Prec@5 70.703 (67.527)
Epoch: [70][6720/7045]	Time 0.237 (0.249)	Data 0.177 (0.184)	Loss 2.6330 (2.5835)	Prec@1 33.594 (37.698)	Prec@5 64.062 (67.525)
Epoch: [70][6730/7045]	Time 0.417 (0.249)	Data 0.366 (0.184)	Loss 2.4407 (2.5834)	Prec@1 39.453 (37.700)	Prec@5 67.578 (67.528)
Epoch: [70][6740/7045]	Time 0.131 (0.249)	Data 0.078 (0.184)	Loss 2.5146 (2.5834)	Prec@1 39.844 (37.700)	Prec@5 67.188 (67.528)
Epoch: [70][6750/7045]	Time 0.257 (0.249)	Data 0.204 (0.184)	Loss 2.5440 (2.5834)	Prec@1 40.625 (37.699)	Prec@5 69.922 (67.527)
Epoch: [70][6760/7045]	Time 0.109 (0.249)	Data 0.056 (0.184)	Loss 2.5788 (2.5835)	Prec@1 41.406 (37.699)	Prec@5 65.625 (67.527)
Epoch: [70][6770/7045]	Time 0.358 (0.249)	Data 0.300 (0.184)	Loss 2.6547 (2.5834)	Prec@1 34.375 (37.699)	Prec@5 65.234 (67.527)
Epoch: [70][6780/7045]	Time 0.431 (0.249)	Data 0.379 (0.184)	Loss 2.7032 (2.5835)	Prec@1 38.281 (37.699)	Prec@5 65.625 (67.525)
Epoch: [70][6790/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 2.4956 (2.5835)	Prec@1 40.234 (37.700)	Prec@5 71.875 (67.527)
Epoch: [70][6800/7045]	Time 0.653 (0.249)	Data 0.601 (0.184)	Loss 2.6792 (2.5835)	Prec@1 37.500 (37.700)	Prec@5 66.797 (67.527)
Epoch: [70][6810/7045]	Time 0.110 (0.249)	Data 0.031 (0.184)	Loss 2.6071 (2.5834)	Prec@1 41.406 (37.701)	Prec@5 66.797 (67.527)
Epoch: [70][6820/7045]	Time 0.826 (0.249)	Data 0.775 (0.184)	Loss 2.4809 (2.5834)	Prec@1 39.844 (37.701)	Prec@5 69.531 (67.529)
Epoch: [70][6830/7045]	Time 0.108 (0.249)	Data 0.047 (0.184)	Loss 2.5723 (2.5834)	Prec@1 37.109 (37.700)	Prec@5 66.016 (67.528)
Epoch: [70][6840/7045]	Time 0.483 (0.249)	Data 0.431 (0.184)	Loss 2.5160 (2.5833)	Prec@1 38.672 (37.701)	Prec@5 70.312 (67.530)
Epoch: [70][6850/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 2.5720 (2.5833)	Prec@1 38.281 (37.702)	Prec@5 67.969 (67.530)
Epoch: [70][6860/7045]	Time 0.174 (0.249)	Data 0.115 (0.184)	Loss 2.7408 (2.5833)	Prec@1 37.109 (37.702)	Prec@5 62.891 (67.530)
Epoch: [70][6870/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 2.7015 (2.5835)	Prec@1 38.281 (37.700)	Prec@5 64.453 (67.527)
Epoch: [70][6880/7045]	Time 0.174 (0.249)	Data 0.123 (0.184)	Loss 2.5874 (2.5835)	Prec@1 35.938 (37.700)	Prec@5 69.531 (67.527)
Epoch: [70][6890/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 2.4604 (2.5835)	Prec@1 38.672 (37.699)	Prec@5 73.828 (67.527)
Epoch: [70][6900/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 2.7150 (2.5834)	Prec@1 35.547 (37.701)	Prec@5 63.281 (67.529)
Epoch: [70][6910/7045]	Time 0.231 (0.249)	Data 0.179 (0.184)	Loss 2.6180 (2.5834)	Prec@1 37.500 (37.701)	Prec@5 68.359 (67.531)
Epoch: [70][6920/7045]	Time 0.326 (0.249)	Data 0.274 (0.184)	Loss 2.5769 (2.5833)	Prec@1 39.844 (37.702)	Prec@5 67.969 (67.530)
Epoch: [70][6930/7045]	Time 0.309 (0.249)	Data 0.257 (0.184)	Loss 2.5884 (2.5833)	Prec@1 40.234 (37.701)	Prec@5 68.750 (67.531)
Epoch: [70][6940/7045]	Time 0.267 (0.249)	Data 0.215 (0.184)	Loss 2.6326 (2.5833)	Prec@1 38.672 (37.701)	Prec@5 66.016 (67.533)
Epoch: [70][6950/7045]	Time 0.236 (0.249)	Data 0.185 (0.184)	Loss 2.6237 (2.5833)	Prec@1 35.938 (37.700)	Prec@5 65.234 (67.532)
Epoch: [70][6960/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 2.7502 (2.5832)	Prec@1 36.719 (37.702)	Prec@5 66.016 (67.534)
Epoch: [70][6970/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 2.6033 (2.5832)	Prec@1 35.938 (37.701)	Prec@5 69.922 (67.535)
Epoch: [70][6980/7045]	Time 0.789 (0.249)	Data 0.737 (0.184)	Loss 2.6224 (2.5831)	Prec@1 39.844 (37.703)	Prec@5 66.797 (67.537)
Epoch: [70][6990/7045]	Time 0.109 (0.249)	Data 0.001 (0.184)	Loss 2.6421 (2.5831)	Prec@1 39.453 (37.703)	Prec@5 67.578 (67.537)
Epoch: [70][7000/7045]	Time 0.690 (0.249)	Data 0.630 (0.184)	Loss 2.5440 (2.5832)	Prec@1 42.578 (37.704)	Prec@5 66.406 (67.535)
Epoch: [70][7010/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 2.6095 (2.5832)	Prec@1 39.062 (37.706)	Prec@5 68.359 (67.535)
Epoch: [70][7020/7045]	Time 0.630 (0.249)	Data 0.578 (0.184)	Loss 2.6125 (2.5832)	Prec@1 41.406 (37.707)	Prec@5 70.312 (67.535)
Epoch: [70][7030/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 2.7355 (2.5832)	Prec@1 32.031 (37.706)	Prec@5 68.750 (67.535)
Epoch: [70][7040/7045]	Time 0.530 (0.249)	Data 0.477 (0.184)	Loss 2.5367 (2.5832)	Prec@1 38.281 (37.706)	Prec@5 66.016 (67.536)
Test: [0/143]	Time 1.352 (1.352)	Loss 2.2713 (2.2713)	Prec@1 48.438 (48.438)	Prec@5 74.609 (74.609)
Test: [10/143]	Time 0.110 (0.253)	Loss 1.6664 (2.0301)	Prec@1 60.156 (49.325)	Prec@5 82.812 (78.587)
Test: [20/143]	Time 0.073 (0.224)	Loss 2.2213 (2.0155)	Prec@1 44.141 (48.382)	Prec@5 75.391 (79.148)
Test: [30/143]	Time 0.412 (0.216)	Loss 2.2043 (2.0328)	Prec@1 48.438 (48.576)	Prec@5 69.531 (78.289)
Test: [40/143]	Time 0.109 (0.203)	Loss 2.6641 (2.0712)	Prec@1 27.344 (47.628)	Prec@5 68.359 (77.439)
Test: [50/143]	Time 0.299 (0.198)	Loss 1.8889 (2.1248)	Prec@1 45.312 (45.879)	Prec@5 83.984 (76.877)
Test: [60/143]	Time 0.120 (0.194)	Loss 2.4189 (2.1115)	Prec@1 35.547 (46.171)	Prec@5 73.828 (77.126)
Test: [70/143]	Time 0.204 (0.194)	Loss 3.0218 (2.1047)	Prec@1 25.391 (46.325)	Prec@5 60.547 (77.283)
Test: [80/143]	Time 0.063 (0.188)	Loss 1.9936 (2.0932)	Prec@1 49.219 (46.562)	Prec@5 82.031 (77.686)
Test: [90/143]	Time 0.074 (0.189)	Loss 1.7836 (2.0873)	Prec@1 57.422 (46.720)	Prec@5 85.938 (77.825)
Test: [100/143]	Time 0.112 (0.186)	Loss 2.0113 (2.0892)	Prec@1 51.562 (46.624)	Prec@5 82.812 (77.939)
Test: [110/143]	Time 0.115 (0.185)	Loss 1.8050 (2.0834)	Prec@1 53.906 (46.910)	Prec@5 82.031 (78.030)
Test: [120/143]	Time 0.397 (0.186)	Loss 1.7620 (2.0746)	Prec@1 57.812 (47.149)	Prec@5 85.156 (78.154)
Test: [130/143]	Time 0.048 (0.183)	Loss 1.5892 (2.0824)	Prec@1 66.406 (47.105)	Prec@5 82.812 (77.910)
Test: [140/143]	Time 0.381 (0.184)	Loss 3.1489 (2.1072)	Prec@1 22.266 (46.509)	Prec@5 60.547 (77.413)
 * Prec@1 46.515 Prec@5 77.419
Epoch: [71][0/7045]	Time 2.452 (2.452)	Data 2.394 (2.394)	Loss 2.5795 (2.5795)	Prec@1 35.547 (35.547)	Prec@5 67.188 (67.188)
Epoch: [71][10/7045]	Time 0.104 (0.415)	Data 0.053 (0.334)	Loss 2.5377 (2.5354)	Prec@1 37.109 (37.855)	Prec@5 65.625 (67.436)
Epoch: [71][20/7045]	Time 0.620 (0.352)	Data 0.568 (0.276)	Loss 2.7643 (2.5533)	Prec@1 33.984 (37.463)	Prec@5 63.281 (67.485)
Epoch: [71][30/7045]	Time 0.106 (0.319)	Data 0.055 (0.246)	Loss 2.6950 (2.5525)	Prec@1 35.156 (37.286)	Prec@5 64.844 (67.931)
Epoch: [71][40/7045]	Time 0.510 (0.309)	Data 0.453 (0.236)	Loss 2.4916 (2.5590)	Prec@1 42.969 (37.786)	Prec@5 70.312 (67.721)
Epoch: [71][50/7045]	Time 0.230 (0.294)	Data 0.177 (0.223)	Loss 2.5990 (2.5724)	Prec@1 37.891 (37.500)	Prec@5 68.750 (67.547)
Epoch: [71][60/7045]	Time 0.169 (0.290)	Data 0.112 (0.220)	Loss 2.7644 (2.5685)	Prec@1 33.594 (37.641)	Prec@5 64.844 (67.488)
Epoch: [71][70/7045]	Time 0.146 (0.284)	Data 0.095 (0.216)	Loss 2.7493 (2.5749)	Prec@1 32.812 (37.346)	Prec@5 63.672 (67.320)
Epoch: [71][80/7045]	Time 0.447 (0.283)	Data 0.396 (0.217)	Loss 2.5443 (2.5778)	Prec@1 36.328 (37.346)	Prec@5 71.094 (67.159)
Epoch: [71][90/7045]	Time 0.109 (0.278)	Data 0.012 (0.212)	Loss 2.5040 (2.5779)	Prec@1 42.578 (37.448)	Prec@5 66.406 (67.291)
Epoch: [71][100/7045]	Time 0.578 (0.279)	Data 0.527 (0.212)	Loss 2.7155 (2.5743)	Prec@1 36.719 (37.543)	Prec@5 61.719 (67.315)
Epoch: [71][110/7045]	Time 0.099 (0.275)	Data 0.001 (0.207)	Loss 2.6403 (2.5750)	Prec@1 36.328 (37.581)	Prec@5 62.891 (67.223)
Epoch: [71][120/7045]	Time 0.473 (0.274)	Data 0.423 (0.205)	Loss 2.6680 (2.5750)	Prec@1 35.938 (37.545)	Prec@5 66.016 (67.255)
Epoch: [71][130/7045]	Time 0.341 (0.272)	Data 0.289 (0.204)	Loss 2.7242 (2.5741)	Prec@1 35.156 (37.491)	Prec@5 62.500 (67.322)
Epoch: [71][140/7045]	Time 0.102 (0.270)	Data 0.001 (0.203)	Loss 2.6373 (2.5727)	Prec@1 35.547 (37.517)	Prec@5 65.625 (67.406)
Epoch: [71][150/7045]	Time 0.358 (0.270)	Data 0.298 (0.203)	Loss 2.6883 (2.5765)	Prec@1 32.812 (37.355)	Prec@5 66.797 (67.260)
Epoch: [71][160/7045]	Time 0.166 (0.267)	Data 0.115 (0.200)	Loss 2.5816 (2.5811)	Prec@1 34.375 (37.270)	Prec@5 68.359 (67.234)
Epoch: [71][170/7045]	Time 0.178 (0.268)	Data 0.127 (0.201)	Loss 2.5305 (2.5769)	Prec@1 40.625 (37.420)	Prec@5 69.141 (67.320)
Epoch: [71][180/7045]	Time 0.174 (0.266)	Data 0.122 (0.198)	Loss 2.5596 (2.5776)	Prec@1 35.156 (37.403)	Prec@5 72.266 (67.293)
Epoch: [71][190/7045]	Time 0.138 (0.265)	Data 0.087 (0.198)	Loss 2.5970 (2.5773)	Prec@1 37.500 (37.396)	Prec@5 66.797 (67.333)
Epoch: [71][200/7045]	Time 0.192 (0.264)	Data 0.141 (0.197)	Loss 2.5553 (2.5782)	Prec@1 42.188 (37.407)	Prec@5 67.578 (67.351)
Epoch: [71][210/7045]	Time 0.202 (0.265)	Data 0.150 (0.199)	Loss 2.5350 (2.5780)	Prec@1 39.062 (37.402)	Prec@5 67.188 (67.369)
Epoch: [71][220/7045]	Time 0.108 (0.264)	Data 0.055 (0.198)	Loss 2.5895 (2.5771)	Prec@1 38.672 (37.477)	Prec@5 64.844 (67.391)
Epoch: [71][230/7045]	Time 0.264 (0.265)	Data 0.214 (0.199)	Loss 2.7733 (2.5761)	Prec@1 34.766 (37.529)	Prec@5 58.594 (67.377)
Epoch: [71][240/7045]	Time 0.192 (0.264)	Data 0.141 (0.199)	Loss 2.5118 (2.5771)	Prec@1 37.109 (37.503)	Prec@5 69.531 (67.377)
Epoch: [71][250/7045]	Time 0.334 (0.264)	Data 0.283 (0.199)	Loss 2.4860 (2.5745)	Prec@1 39.844 (37.556)	Prec@5 67.969 (67.455)
Epoch: [71][260/7045]	Time 0.179 (0.263)	Data 0.128 (0.198)	Loss 2.6753 (2.5736)	Prec@1 38.281 (37.612)	Prec@5 67.578 (67.475)
Epoch: [71][270/7045]	Time 0.163 (0.263)	Data 0.111 (0.199)	Loss 2.5187 (2.5722)	Prec@1 44.141 (37.643)	Prec@5 66.797 (67.523)
Epoch: [71][280/7045]	Time 0.101 (0.262)	Data 0.012 (0.198)	Loss 2.5075 (2.5720)	Prec@1 40.234 (37.683)	Prec@5 71.484 (67.557)
Epoch: [71][290/7045]	Time 0.102 (0.264)	Data 0.007 (0.198)	Loss 2.3697 (2.5698)	Prec@1 37.500 (37.681)	Prec@5 74.219 (67.606)
Epoch: [71][300/7045]	Time 0.144 (0.262)	Data 0.094 (0.196)	Loss 2.6161 (2.5685)	Prec@1 34.766 (37.717)	Prec@5 64.453 (67.625)
Epoch: [71][310/7045]	Time 0.108 (0.262)	Data 0.001 (0.196)	Loss 2.5147 (2.5680)	Prec@1 39.062 (37.724)	Prec@5 67.578 (67.650)
Epoch: [71][320/7045]	Time 0.582 (0.263)	Data 0.523 (0.197)	Loss 2.5692 (2.5679)	Prec@1 35.938 (37.715)	Prec@5 64.844 (67.626)
Epoch: [71][330/7045]	Time 0.102 (0.262)	Data 0.001 (0.195)	Loss 2.5098 (2.5694)	Prec@1 38.672 (37.684)	Prec@5 71.875 (67.638)
Epoch: [71][340/7045]	Time 0.636 (0.262)	Data 0.585 (0.196)	Loss 2.5531 (2.5682)	Prec@1 42.578 (37.745)	Prec@5 68.359 (67.650)
Epoch: [71][350/7045]	Time 0.187 (0.261)	Data 0.136 (0.195)	Loss 2.6349 (2.5691)	Prec@1 36.328 (37.746)	Prec@5 65.625 (67.633)
Epoch: [71][360/7045]	Time 0.398 (0.261)	Data 0.346 (0.196)	Loss 2.5021 (2.5684)	Prec@1 38.281 (37.765)	Prec@5 68.750 (67.652)
Epoch: [71][370/7045]	Time 0.101 (0.261)	Data 0.001 (0.196)	Loss 2.5920 (2.5671)	Prec@1 34.375 (37.801)	Prec@5 66.797 (67.656)
Epoch: [71][380/7045]	Time 0.150 (0.260)	Data 0.098 (0.195)	Loss 2.5395 (2.5674)	Prec@1 37.891 (37.793)	Prec@5 63.672 (67.641)
Epoch: [71][390/7045]	Time 0.109 (0.260)	Data 0.057 (0.195)	Loss 2.6846 (2.5684)	Prec@1 32.422 (37.750)	Prec@5 63.672 (67.619)
Epoch: [71][400/7045]	Time 0.105 (0.260)	Data 0.001 (0.194)	Loss 2.6331 (2.5686)	Prec@1 37.500 (37.754)	Prec@5 64.844 (67.592)
Epoch: [71][410/7045]	Time 0.268 (0.260)	Data 0.217 (0.195)	Loss 2.5664 (2.5690)	Prec@1 41.016 (37.754)	Prec@5 67.969 (67.589)
Epoch: [71][420/7045]	Time 0.130 (0.259)	Data 0.079 (0.193)	Loss 2.5495 (2.5705)	Prec@1 36.328 (37.733)	Prec@5 67.188 (67.571)
Epoch: [71][430/7045]	Time 0.165 (0.259)	Data 0.113 (0.194)	Loss 2.4456 (2.5696)	Prec@1 39.844 (37.766)	Prec@5 65.625 (67.573)
Epoch: [71][440/7045]	Time 0.622 (0.259)	Data 0.570 (0.194)	Loss 2.5447 (2.5687)	Prec@1 34.766 (37.780)	Prec@5 67.188 (67.601)
Epoch: [71][450/7045]	Time 0.102 (0.259)	Data 0.009 (0.194)	Loss 2.5833 (2.5693)	Prec@1 37.891 (37.788)	Prec@5 66.797 (67.590)
Epoch: [71][460/7045]	Time 0.439 (0.259)	Data 0.388 (0.194)	Loss 2.5480 (2.5680)	Prec@1 37.109 (37.806)	Prec@5 66.797 (67.612)
Epoch: [71][470/7045]	Time 0.454 (0.259)	Data 0.391 (0.194)	Loss 2.5370 (2.5689)	Prec@1 37.891 (37.771)	Prec@5 66.406 (67.605)
Epoch: [71][480/7045]	Time 0.102 (0.258)	Data 0.007 (0.193)	Loss 2.5546 (2.5696)	Prec@1 37.891 (37.770)	Prec@5 68.359 (67.610)
Epoch: [71][490/7045]	Time 0.532 (0.258)	Data 0.481 (0.193)	Loss 2.5143 (2.5696)	Prec@1 41.016 (37.794)	Prec@5 65.625 (67.604)
Epoch: [71][500/7045]	Time 0.110 (0.258)	Data 0.001 (0.193)	Loss 2.6563 (2.5696)	Prec@1 33.984 (37.796)	Prec@5 68.359 (67.596)
Epoch: [71][510/7045]	Time 0.398 (0.258)	Data 0.346 (0.193)	Loss 2.3839 (2.5691)	Prec@1 43.359 (37.807)	Prec@5 69.922 (67.619)
Epoch: [71][520/7045]	Time 0.191 (0.257)	Data 0.140 (0.193)	Loss 2.6605 (2.5695)	Prec@1 39.062 (37.822)	Prec@5 67.578 (67.603)
Epoch: [71][530/7045]	Time 0.299 (0.257)	Data 0.247 (0.193)	Loss 2.6001 (2.5679)	Prec@1 34.766 (37.842)	Prec@5 66.406 (67.617)
Epoch: [71][540/7045]	Time 0.101 (0.257)	Data 0.001 (0.193)	Loss 2.7071 (2.5678)	Prec@1 34.766 (37.852)	Prec@5 62.891 (67.608)
Epoch: [71][550/7045]	Time 0.224 (0.257)	Data 0.171 (0.192)	Loss 2.5371 (2.5690)	Prec@1 41.016 (37.825)	Prec@5 71.875 (67.583)
Epoch: [71][560/7045]	Time 0.102 (0.257)	Data 0.015 (0.192)	Loss 2.5680 (2.5683)	Prec@1 37.500 (37.836)	Prec@5 69.141 (67.598)
Epoch: [71][570/7045]	Time 0.285 (0.256)	Data 0.233 (0.192)	Loss 2.6375 (2.5696)	Prec@1 39.844 (37.817)	Prec@5 66.406 (67.572)
Epoch: [71][580/7045]	Time 0.102 (0.256)	Data 0.004 (0.192)	Loss 2.5224 (2.5701)	Prec@1 41.016 (37.819)	Prec@5 69.922 (67.561)
Epoch: [71][590/7045]	Time 0.101 (0.256)	Data 0.001 (0.192)	Loss 2.5786 (2.5698)	Prec@1 40.625 (37.819)	Prec@5 69.141 (67.568)
Epoch: [71][600/7045]	Time 0.146 (0.257)	Data 0.095 (0.192)	Loss 2.6042 (2.5705)	Prec@1 37.891 (37.797)	Prec@5 65.625 (67.579)
Epoch: [71][610/7045]	Time 0.117 (0.256)	Data 0.066 (0.192)	Loss 2.5553 (2.5700)	Prec@1 39.844 (37.816)	Prec@5 71.094 (67.620)
Epoch: [71][620/7045]	Time 0.266 (0.256)	Data 0.216 (0.192)	Loss 2.6690 (2.5694)	Prec@1 35.938 (37.837)	Prec@5 65.234 (67.644)
Epoch: [71][630/7045]	Time 0.414 (0.256)	Data 0.362 (0.192)	Loss 2.6064 (2.5684)	Prec@1 37.109 (37.877)	Prec@5 68.359 (67.669)
Epoch: [71][640/7045]	Time 0.117 (0.256)	Data 0.063 (0.192)	Loss 2.6165 (2.5700)	Prec@1 32.422 (37.820)	Prec@5 67.578 (67.615)
Epoch: [71][650/7045]	Time 0.402 (0.256)	Data 0.350 (0.192)	Loss 2.3436 (2.5691)	Prec@1 44.141 (37.837)	Prec@5 71.875 (67.646)
Epoch: [71][660/7045]	Time 0.403 (0.256)	Data 0.351 (0.192)	Loss 2.5508 (2.5692)	Prec@1 37.891 (37.832)	Prec@5 67.578 (67.649)
Epoch: [71][670/7045]	Time 0.102 (0.256)	Data 0.001 (0.192)	Loss 2.6308 (2.5687)	Prec@1 34.375 (37.849)	Prec@5 67.969 (67.666)
Epoch: [71][680/7045]	Time 0.295 (0.256)	Data 0.244 (0.192)	Loss 2.4875 (2.5679)	Prec@1 41.016 (37.881)	Prec@5 70.703 (67.675)
Epoch: [71][690/7045]	Time 0.337 (0.256)	Data 0.278 (0.192)	Loss 2.7418 (2.5678)	Prec@1 32.031 (37.888)	Prec@5 64.453 (67.684)
Epoch: [71][700/7045]	Time 0.102 (0.256)	Data 0.001 (0.192)	Loss 2.6153 (2.5675)	Prec@1 38.281 (37.888)	Prec@5 65.234 (67.687)
Epoch: [71][710/7045]	Time 0.406 (0.256)	Data 0.354 (0.192)	Loss 2.5362 (2.5680)	Prec@1 36.328 (37.877)	Prec@5 71.094 (67.694)
Epoch: [71][720/7045]	Time 0.263 (0.256)	Data 0.211 (0.192)	Loss 2.6430 (2.5688)	Prec@1 36.719 (37.858)	Prec@5 67.188 (67.683)
Epoch: [71][730/7045]	Time 0.102 (0.256)	Data 0.007 (0.192)	Loss 2.3856 (2.5688)	Prec@1 37.891 (37.857)	Prec@5 69.531 (67.674)
Epoch: [71][740/7045]	Time 0.352 (0.256)	Data 0.300 (0.192)	Loss 2.5908 (2.5686)	Prec@1 37.891 (37.866)	Prec@5 66.016 (67.667)
Epoch: [71][750/7045]	Time 0.102 (0.256)	Data 0.022 (0.192)	Loss 2.5530 (2.5686)	Prec@1 37.891 (37.855)	Prec@5 66.406 (67.658)
Epoch: [71][760/7045]	Time 0.189 (0.256)	Data 0.138 (0.192)	Loss 2.6786 (2.5690)	Prec@1 32.422 (37.848)	Prec@5 69.141 (67.667)
Epoch: [71][770/7045]	Time 0.141 (0.255)	Data 0.090 (0.191)	Loss 2.5070 (2.5688)	Prec@1 36.328 (37.844)	Prec@5 67.969 (67.669)
Epoch: [71][780/7045]	Time 0.111 (0.255)	Data 0.006 (0.192)	Loss 2.3190 (2.5681)	Prec@1 40.234 (37.848)	Prec@5 72.656 (67.676)
Epoch: [71][790/7045]	Time 0.260 (0.255)	Data 0.209 (0.191)	Loss 2.5066 (2.5682)	Prec@1 41.797 (37.858)	Prec@5 69.922 (67.666)
Epoch: [71][800/7045]	Time 0.102 (0.255)	Data 0.014 (0.191)	Loss 2.6186 (2.5680)	Prec@1 37.500 (37.857)	Prec@5 65.625 (67.662)
Epoch: [71][810/7045]	Time 0.102 (0.255)	Data 0.018 (0.191)	Loss 2.7047 (2.5682)	Prec@1 39.844 (37.869)	Prec@5 62.891 (67.661)
Epoch: [71][820/7045]	Time 0.416 (0.255)	Data 0.365 (0.192)	Loss 2.6692 (2.5675)	Prec@1 38.672 (37.881)	Prec@5 64.844 (67.683)
Epoch: [71][830/7045]	Time 0.109 (0.255)	Data 0.001 (0.191)	Loss 2.7710 (2.5678)	Prec@1 33.594 (37.868)	Prec@5 66.016 (67.674)
Epoch: [71][840/7045]	Time 0.423 (0.255)	Data 0.371 (0.191)	Loss 2.4441 (2.5675)	Prec@1 37.891 (37.868)	Prec@5 71.094 (67.690)
Epoch: [71][850/7045]	Time 0.122 (0.255)	Data 0.071 (0.191)	Loss 2.7887 (2.5676)	Prec@1 34.375 (37.859)	Prec@5 63.281 (67.698)
Epoch: [71][860/7045]	Time 0.293 (0.255)	Data 0.243 (0.191)	Loss 2.6406 (2.5670)	Prec@1 36.328 (37.877)	Prec@5 66.406 (67.696)
Epoch: [71][870/7045]	Time 0.267 (0.255)	Data 0.216 (0.191)	Loss 2.9058 (2.5679)	Prec@1 33.203 (37.865)	Prec@5 64.062 (67.682)
Epoch: [71][880/7045]	Time 0.101 (0.255)	Data 0.009 (0.191)	Loss 2.7679 (2.5674)	Prec@1 37.500 (37.873)	Prec@5 68.359 (67.698)
Epoch: [71][890/7045]	Time 0.645 (0.255)	Data 0.593 (0.192)	Loss 2.4901 (2.5677)	Prec@1 37.891 (37.863)	Prec@5 67.188 (67.693)
Epoch: [71][900/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 2.5685 (2.5680)	Prec@1 39.844 (37.873)	Prec@5 69.531 (67.677)
Epoch: [71][910/7045]	Time 0.137 (0.255)	Data 0.086 (0.191)	Loss 2.4893 (2.5681)	Prec@1 38.281 (37.874)	Prec@5 70.703 (67.671)
Epoch: [71][920/7045]	Time 0.442 (0.255)	Data 0.390 (0.191)	Loss 2.4257 (2.5683)	Prec@1 41.016 (37.871)	Prec@5 73.047 (67.672)
Epoch: [71][930/7045]	Time 0.372 (0.255)	Data 0.322 (0.191)	Loss 2.7162 (2.5689)	Prec@1 38.281 (37.868)	Prec@5 65.625 (67.665)
Epoch: [71][940/7045]	Time 0.109 (0.255)	Data 0.006 (0.191)	Loss 2.4619 (2.5681)	Prec@1 39.062 (37.880)	Prec@5 69.922 (67.690)
Epoch: [71][950/7045]	Time 0.215 (0.255)	Data 0.164 (0.191)	Loss 2.6171 (2.5681)	Prec@1 37.109 (37.889)	Prec@5 68.359 (67.703)
Epoch: [71][960/7045]	Time 0.522 (0.255)	Data 0.462 (0.192)	Loss 2.6987 (2.5685)	Prec@1 38.281 (37.876)	Prec@5 68.359 (67.704)
Epoch: [71][970/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 2.3465 (2.5685)	Prec@1 41.406 (37.876)	Prec@5 74.609 (67.702)
Epoch: [71][980/7045]	Time 0.536 (0.255)	Data 0.484 (0.191)	Loss 2.3652 (2.5683)	Prec@1 35.938 (37.867)	Prec@5 69.922 (67.705)
Epoch: [71][990/7045]	Time 0.114 (0.255)	Data 0.062 (0.191)	Loss 2.4423 (2.5684)	Prec@1 35.547 (37.861)	Prec@5 71.094 (67.714)
Epoch: [71][1000/7045]	Time 0.684 (0.255)	Data 0.633 (0.191)	Loss 2.5060 (2.5680)	Prec@1 35.547 (37.868)	Prec@5 67.188 (67.726)
Epoch: [71][1010/7045]	Time 0.110 (0.254)	Data 0.001 (0.191)	Loss 2.6178 (2.5681)	Prec@1 35.547 (37.866)	Prec@5 66.797 (67.726)
Epoch: [71][1020/7045]	Time 0.566 (0.255)	Data 0.505 (0.191)	Loss 2.6292 (2.5681)	Prec@1 37.891 (37.862)	Prec@5 67.969 (67.727)
Epoch: [71][1030/7045]	Time 0.103 (0.254)	Data 0.001 (0.190)	Loss 2.6647 (2.5681)	Prec@1 34.766 (37.858)	Prec@5 66.406 (67.727)
Epoch: [71][1040/7045]	Time 0.136 (0.254)	Data 0.084 (0.190)	Loss 2.5481 (2.5679)	Prec@1 36.328 (37.858)	Prec@5 67.578 (67.737)
Epoch: [71][1050/7045]	Time 0.104 (0.254)	Data 0.051 (0.190)	Loss 2.4003 (2.5677)	Prec@1 42.188 (37.858)	Prec@5 67.578 (67.742)
Epoch: [71][1060/7045]	Time 0.225 (0.254)	Data 0.172 (0.190)	Loss 2.6746 (2.5691)	Prec@1 33.203 (37.832)	Prec@5 67.578 (67.709)
Epoch: [71][1070/7045]	Time 0.102 (0.254)	Data 0.001 (0.190)	Loss 2.5758 (2.5693)	Prec@1 37.500 (37.828)	Prec@5 68.750 (67.712)
Epoch: [71][1080/7045]	Time 0.218 (0.254)	Data 0.167 (0.190)	Loss 2.5360 (2.5691)	Prec@1 35.156 (37.836)	Prec@5 70.312 (67.723)
Epoch: [71][1090/7045]	Time 0.102 (0.254)	Data 0.001 (0.189)	Loss 2.5415 (2.5692)	Prec@1 36.328 (37.838)	Prec@5 67.578 (67.720)
Epoch: [71][1100/7045]	Time 0.287 (0.254)	Data 0.228 (0.190)	Loss 2.4263 (2.5690)	Prec@1 42.578 (37.834)	Prec@5 70.312 (67.726)
Epoch: [71][1110/7045]	Time 0.102 (0.254)	Data 0.001 (0.189)	Loss 2.5017 (2.5688)	Prec@1 38.672 (37.831)	Prec@5 67.578 (67.729)
Epoch: [71][1120/7045]	Time 0.115 (0.254)	Data 0.019 (0.189)	Loss 2.3732 (2.5681)	Prec@1 44.531 (37.848)	Prec@5 72.266 (67.746)
Epoch: [71][1130/7045]	Time 0.118 (0.254)	Data 0.065 (0.189)	Loss 2.6827 (2.5685)	Prec@1 37.109 (37.846)	Prec@5 70.312 (67.755)
Epoch: [71][1140/7045]	Time 0.109 (0.254)	Data 0.001 (0.189)	Loss 2.6459 (2.5683)	Prec@1 35.156 (37.863)	Prec@5 68.750 (67.770)
Epoch: [71][1150/7045]	Time 0.102 (0.254)	Data 0.001 (0.188)	Loss 2.6369 (2.5686)	Prec@1 39.062 (37.862)	Prec@5 65.625 (67.769)
Epoch: [71][1160/7045]	Time 0.112 (0.254)	Data 0.061 (0.188)	Loss 2.6156 (2.5688)	Prec@1 37.891 (37.857)	Prec@5 66.406 (67.759)
Epoch: [71][1170/7045]	Time 0.226 (0.253)	Data 0.175 (0.188)	Loss 2.5415 (2.5690)	Prec@1 37.891 (37.847)	Prec@5 67.578 (67.754)
Epoch: [71][1180/7045]	Time 0.116 (0.253)	Data 0.064 (0.188)	Loss 2.4747 (2.5693)	Prec@1 42.578 (37.851)	Prec@5 68.359 (67.752)
Epoch: [71][1190/7045]	Time 0.292 (0.253)	Data 0.241 (0.188)	Loss 2.6528 (2.5694)	Prec@1 38.672 (37.843)	Prec@5 64.062 (67.740)
Epoch: [71][1200/7045]	Time 0.103 (0.253)	Data 0.023 (0.188)	Loss 2.5598 (2.5695)	Prec@1 39.062 (37.843)	Prec@5 68.750 (67.735)
Epoch: [71][1210/7045]	Time 0.187 (0.253)	Data 0.136 (0.188)	Loss 2.5661 (2.5698)	Prec@1 35.547 (37.834)	Prec@5 67.188 (67.727)
Epoch: [71][1220/7045]	Time 0.101 (0.253)	Data 0.009 (0.188)	Loss 2.5013 (2.5696)	Prec@1 34.375 (37.838)	Prec@5 71.875 (67.730)
Epoch: [71][1230/7045]	Time 0.506 (0.253)	Data 0.455 (0.188)	Loss 2.5853 (2.5694)	Prec@1 35.156 (37.829)	Prec@5 64.844 (67.741)
Epoch: [71][1240/7045]	Time 0.163 (0.253)	Data 0.106 (0.188)	Loss 2.6756 (2.5695)	Prec@1 37.500 (37.826)	Prec@5 62.891 (67.738)
Epoch: [71][1250/7045]	Time 0.779 (0.253)	Data 0.721 (0.188)	Loss 2.6128 (2.5699)	Prec@1 38.672 (37.825)	Prec@5 68.359 (67.728)
Epoch: [71][1260/7045]	Time 0.100 (0.253)	Data 0.001 (0.188)	Loss 2.4746 (2.5700)	Prec@1 39.062 (37.823)	Prec@5 67.578 (67.724)
Epoch: [71][1270/7045]	Time 0.667 (0.253)	Data 0.615 (0.188)	Loss 2.5505 (2.5700)	Prec@1 37.891 (37.824)	Prec@5 67.188 (67.726)
Epoch: [71][1280/7045]	Time 0.102 (0.253)	Data 0.001 (0.188)	Loss 2.5107 (2.5707)	Prec@1 39.062 (37.806)	Prec@5 70.703 (67.710)
Epoch: [71][1290/7045]	Time 0.600 (0.253)	Data 0.549 (0.188)	Loss 2.6551 (2.5706)	Prec@1 36.328 (37.809)	Prec@5 68.750 (67.720)
Epoch: [71][1300/7045]	Time 0.127 (0.253)	Data 0.075 (0.187)	Loss 2.6957 (2.5710)	Prec@1 38.672 (37.814)	Prec@5 66.797 (67.712)
Epoch: [71][1310/7045]	Time 0.204 (0.253)	Data 0.151 (0.187)	Loss 2.4213 (2.5710)	Prec@1 38.281 (37.815)	Prec@5 71.094 (67.712)
Epoch: [71][1320/7045]	Time 0.181 (0.253)	Data 0.129 (0.187)	Loss 2.6462 (2.5707)	Prec@1 35.156 (37.818)	Prec@5 64.453 (67.721)
Epoch: [71][1330/7045]	Time 0.097 (0.253)	Data 0.047 (0.187)	Loss 2.8448 (2.5706)	Prec@1 30.469 (37.819)	Prec@5 61.719 (67.722)
Epoch: [71][1340/7045]	Time 0.102 (0.253)	Data 0.020 (0.187)	Loss 2.5737 (2.5704)	Prec@1 38.672 (37.822)	Prec@5 66.016 (67.730)
Epoch: [71][1350/7045]	Time 0.107 (0.253)	Data 0.054 (0.187)	Loss 2.6155 (2.5706)	Prec@1 37.500 (37.814)	Prec@5 64.844 (67.724)
Epoch: [71][1360/7045]	Time 0.103 (0.253)	Data 0.011 (0.187)	Loss 2.4622 (2.5709)	Prec@1 40.234 (37.813)	Prec@5 68.750 (67.722)
Epoch: [71][1370/7045]	Time 0.102 (0.253)	Data 0.013 (0.187)	Loss 2.4322 (2.5709)	Prec@1 36.719 (37.807)	Prec@5 71.094 (67.718)
Epoch: [71][1380/7045]	Time 0.102 (0.252)	Data 0.049 (0.187)	Loss 2.5704 (2.5708)	Prec@1 34.375 (37.813)	Prec@5 70.312 (67.724)
Epoch: [71][1390/7045]	Time 0.179 (0.253)	Data 0.128 (0.187)	Loss 2.5426 (2.5707)	Prec@1 35.938 (37.817)	Prec@5 67.969 (67.726)
Epoch: [71][1400/7045]	Time 0.406 (0.253)	Data 0.345 (0.187)	Loss 2.5605 (2.5705)	Prec@1 42.188 (37.820)	Prec@5 69.531 (67.731)
Epoch: [71][1410/7045]	Time 0.215 (0.253)	Data 0.163 (0.187)	Loss 2.6495 (2.5708)	Prec@1 38.281 (37.813)	Prec@5 65.234 (67.727)
Epoch: [71][1420/7045]	Time 0.366 (0.253)	Data 0.314 (0.188)	Loss 2.6114 (2.5709)	Prec@1 33.984 (37.809)	Prec@5 66.797 (67.726)
Epoch: [71][1430/7045]	Time 0.243 (0.252)	Data 0.193 (0.187)	Loss 2.3599 (2.5707)	Prec@1 40.234 (37.812)	Prec@5 71.484 (67.729)
Epoch: [71][1440/7045]	Time 0.349 (0.253)	Data 0.298 (0.188)	Loss 2.4995 (2.5705)	Prec@1 38.281 (37.816)	Prec@5 66.406 (67.738)
Epoch: [71][1450/7045]	Time 0.242 (0.252)	Data 0.190 (0.187)	Loss 2.3795 (2.5702)	Prec@1 39.844 (37.823)	Prec@5 73.438 (67.748)
Epoch: [71][1460/7045]	Time 0.480 (0.252)	Data 0.427 (0.188)	Loss 2.7779 (2.5702)	Prec@1 36.328 (37.827)	Prec@5 64.062 (67.752)
Epoch: [71][1470/7045]	Time 0.117 (0.252)	Data 0.066 (0.187)	Loss 2.6024 (2.5702)	Prec@1 39.844 (37.830)	Prec@5 66.406 (67.757)
Epoch: [71][1480/7045]	Time 0.430 (0.252)	Data 0.379 (0.188)	Loss 2.7804 (2.5704)	Prec@1 31.250 (37.826)	Prec@5 61.328 (67.750)
Epoch: [71][1490/7045]	Time 0.223 (0.252)	Data 0.172 (0.187)	Loss 2.7381 (2.5706)	Prec@1 34.375 (37.824)	Prec@5 62.891 (67.747)
Epoch: [71][1500/7045]	Time 0.627 (0.252)	Data 0.576 (0.188)	Loss 2.6098 (2.5712)	Prec@1 37.891 (37.823)	Prec@5 66.016 (67.738)
Epoch: [71][1510/7045]	Time 0.110 (0.252)	Data 0.001 (0.187)	Loss 2.4226 (2.5709)	Prec@1 44.531 (37.837)	Prec@5 70.312 (67.743)
Epoch: [71][1520/7045]	Time 0.615 (0.252)	Data 0.563 (0.187)	Loss 2.4992 (2.5710)	Prec@1 38.672 (37.823)	Prec@5 69.141 (67.743)
Epoch: [71][1530/7045]	Time 0.098 (0.252)	Data 0.001 (0.187)	Loss 2.5792 (2.5709)	Prec@1 37.500 (37.826)	Prec@5 70.703 (67.749)
Epoch: [71][1540/7045]	Time 0.592 (0.252)	Data 0.541 (0.187)	Loss 2.5011 (2.5709)	Prec@1 42.188 (37.823)	Prec@5 66.016 (67.752)
Epoch: [71][1550/7045]	Time 0.113 (0.252)	Data 0.054 (0.187)	Loss 2.7382 (2.5710)	Prec@1 35.938 (37.819)	Prec@5 63.672 (67.748)
Epoch: [71][1560/7045]	Time 0.581 (0.252)	Data 0.531 (0.187)	Loss 2.5878 (2.5712)	Prec@1 36.719 (37.820)	Prec@5 69.531 (67.743)
Epoch: [71][1570/7045]	Time 0.197 (0.252)	Data 0.146 (0.187)	Loss 2.3778 (2.5707)	Prec@1 42.188 (37.831)	Prec@5 72.266 (67.754)
Epoch: [71][1580/7045]	Time 0.492 (0.252)	Data 0.442 (0.187)	Loss 2.4349 (2.5707)	Prec@1 43.359 (37.837)	Prec@5 67.578 (67.750)
Epoch: [71][1590/7045]	Time 0.117 (0.252)	Data 0.065 (0.187)	Loss 2.6492 (2.5703)	Prec@1 35.938 (37.847)	Prec@5 67.188 (67.754)
Epoch: [71][1600/7045]	Time 0.584 (0.252)	Data 0.531 (0.187)	Loss 2.3344 (2.5703)	Prec@1 40.625 (37.849)	Prec@5 71.875 (67.762)
Epoch: [71][1610/7045]	Time 0.103 (0.252)	Data 0.051 (0.187)	Loss 2.5404 (2.5706)	Prec@1 37.891 (37.837)	Prec@5 68.750 (67.757)
Epoch: [71][1620/7045]	Time 0.428 (0.252)	Data 0.376 (0.187)	Loss 2.5610 (2.5705)	Prec@1 42.969 (37.842)	Prec@5 66.016 (67.755)
Epoch: [71][1630/7045]	Time 0.163 (0.251)	Data 0.113 (0.187)	Loss 2.5393 (2.5707)	Prec@1 36.328 (37.843)	Prec@5 68.750 (67.754)
Epoch: [71][1640/7045]	Time 0.156 (0.251)	Data 0.101 (0.187)	Loss 2.2694 (2.5710)	Prec@1 41.406 (37.837)	Prec@5 73.438 (67.749)
Epoch: [71][1650/7045]	Time 0.364 (0.252)	Data 0.312 (0.187)	Loss 2.5662 (2.5717)	Prec@1 33.984 (37.818)	Prec@5 67.188 (67.733)
Epoch: [71][1660/7045]	Time 0.463 (0.252)	Data 0.413 (0.187)	Loss 2.6694 (2.5717)	Prec@1 37.500 (37.817)	Prec@5 63.672 (67.734)
Epoch: [71][1670/7045]	Time 0.145 (0.251)	Data 0.083 (0.187)	Loss 2.6460 (2.5716)	Prec@1 36.719 (37.819)	Prec@5 64.844 (67.729)
Epoch: [71][1680/7045]	Time 0.478 (0.251)	Data 0.427 (0.187)	Loss 2.4464 (2.5719)	Prec@1 41.016 (37.810)	Prec@5 65.625 (67.716)
Epoch: [71][1690/7045]	Time 0.119 (0.251)	Data 0.067 (0.187)	Loss 2.3823 (2.5719)	Prec@1 39.453 (37.804)	Prec@5 71.875 (67.715)
Epoch: [71][1700/7045]	Time 0.473 (0.251)	Data 0.412 (0.187)	Loss 2.5728 (2.5715)	Prec@1 37.891 (37.808)	Prec@5 68.750 (67.727)
Epoch: [71][1710/7045]	Time 0.100 (0.251)	Data 0.046 (0.187)	Loss 2.5623 (2.5715)	Prec@1 38.281 (37.812)	Prec@5 67.578 (67.724)
Epoch: [71][1720/7045]	Time 0.102 (0.251)	Data 0.021 (0.187)	Loss 2.6994 (2.5718)	Prec@1 39.062 (37.798)	Prec@5 64.453 (67.714)
Epoch: [71][1730/7045]	Time 0.102 (0.251)	Data 0.001 (0.187)	Loss 2.5065 (2.5720)	Prec@1 37.500 (37.790)	Prec@5 66.016 (67.708)
Epoch: [71][1740/7045]	Time 0.347 (0.251)	Data 0.295 (0.187)	Loss 2.6140 (2.5718)	Prec@1 36.719 (37.799)	Prec@5 65.234 (67.712)
Epoch: [71][1750/7045]	Time 0.573 (0.251)	Data 0.521 (0.187)	Loss 2.6264 (2.5720)	Prec@1 35.938 (37.796)	Prec@5 65.625 (67.704)
Epoch: [71][1760/7045]	Time 0.103 (0.251)	Data 0.010 (0.187)	Loss 2.5885 (2.5723)	Prec@1 36.328 (37.798)	Prec@5 65.234 (67.702)
Epoch: [71][1770/7045]	Time 0.457 (0.251)	Data 0.407 (0.187)	Loss 2.5445 (2.5726)	Prec@1 36.328 (37.796)	Prec@5 71.484 (67.696)
Epoch: [71][1780/7045]	Time 0.230 (0.251)	Data 0.178 (0.187)	Loss 2.7129 (2.5729)	Prec@1 33.984 (37.795)	Prec@5 67.188 (67.690)
Epoch: [71][1790/7045]	Time 0.107 (0.251)	Data 0.001 (0.187)	Loss 2.6841 (2.5729)	Prec@1 37.500 (37.799)	Prec@5 63.672 (67.685)
Epoch: [71][1800/7045]	Time 0.104 (0.251)	Data 0.001 (0.187)	Loss 2.3937 (2.5727)	Prec@1 38.281 (37.803)	Prec@5 69.922 (67.687)
Epoch: [71][1810/7045]	Time 0.154 (0.251)	Data 0.102 (0.187)	Loss 2.6527 (2.5728)	Prec@1 37.109 (37.798)	Prec@5 66.797 (67.684)
Epoch: [71][1820/7045]	Time 0.366 (0.251)	Data 0.314 (0.187)	Loss 2.5142 (2.5727)	Prec@1 41.016 (37.801)	Prec@5 66.797 (67.684)
Epoch: [71][1830/7045]	Time 0.153 (0.251)	Data 0.103 (0.187)	Loss 2.5303 (2.5727)	Prec@1 37.891 (37.796)	Prec@5 66.016 (67.678)
Epoch: [71][1840/7045]	Time 0.322 (0.251)	Data 0.270 (0.187)	Loss 2.5549 (2.5725)	Prec@1 36.328 (37.790)	Prec@5 69.141 (67.683)
Epoch: [71][1850/7045]	Time 0.570 (0.251)	Data 0.519 (0.187)	Loss 2.5650 (2.5723)	Prec@1 36.719 (37.794)	Prec@5 66.797 (67.688)
Epoch: [71][1860/7045]	Time 0.111 (0.251)	Data 0.011 (0.187)	Loss 2.5466 (2.5723)	Prec@1 42.188 (37.796)	Prec@5 67.578 (67.685)
Epoch: [71][1870/7045]	Time 0.472 (0.251)	Data 0.419 (0.187)	Loss 2.6663 (2.5724)	Prec@1 36.328 (37.796)	Prec@5 67.188 (67.685)
Epoch: [71][1880/7045]	Time 0.110 (0.251)	Data 0.057 (0.187)	Loss 2.4660 (2.5722)	Prec@1 36.328 (37.798)	Prec@5 72.266 (67.688)
Epoch: [71][1890/7045]	Time 0.219 (0.251)	Data 0.168 (0.187)	Loss 2.6397 (2.5720)	Prec@1 37.500 (37.805)	Prec@5 64.062 (67.690)
Epoch: [71][1900/7045]	Time 0.100 (0.251)	Data 0.047 (0.187)	Loss 2.2525 (2.5722)	Prec@1 45.703 (37.802)	Prec@5 75.000 (67.690)
Epoch: [71][1910/7045]	Time 0.276 (0.251)	Data 0.217 (0.187)	Loss 2.4560 (2.5722)	Prec@1 38.672 (37.801)	Prec@5 65.625 (67.688)
Epoch: [71][1920/7045]	Time 0.101 (0.251)	Data 0.010 (0.187)	Loss 2.7785 (2.5722)	Prec@1 36.328 (37.795)	Prec@5 65.625 (67.688)
Epoch: [71][1930/7045]	Time 0.170 (0.251)	Data 0.118 (0.187)	Loss 2.6631 (2.5727)	Prec@1 32.812 (37.787)	Prec@5 66.406 (67.678)
Epoch: [71][1940/7045]	Time 0.167 (0.251)	Data 0.115 (0.186)	Loss 2.4849 (2.5727)	Prec@1 36.719 (37.786)	Prec@5 70.312 (67.680)
Epoch: [71][1950/7045]	Time 0.130 (0.251)	Data 0.079 (0.187)	Loss 2.6913 (2.5728)	Prec@1 35.938 (37.786)	Prec@5 64.062 (67.678)
Epoch: [71][1960/7045]	Time 0.159 (0.251)	Data 0.108 (0.186)	Loss 2.5317 (2.5729)	Prec@1 39.062 (37.779)	Prec@5 67.969 (67.681)
Epoch: [71][1970/7045]	Time 0.168 (0.251)	Data 0.117 (0.187)	Loss 2.5637 (2.5729)	Prec@1 32.812 (37.778)	Prec@5 66.406 (67.682)
Epoch: [71][1980/7045]	Time 0.102 (0.251)	Data 0.009 (0.186)	Loss 2.5882 (2.5730)	Prec@1 37.500 (37.784)	Prec@5 66.797 (67.678)
Epoch: [71][1990/7045]	Time 0.166 (0.251)	Data 0.113 (0.186)	Loss 2.5741 (2.5731)	Prec@1 35.547 (37.784)	Prec@5 70.312 (67.677)
Epoch: [71][2000/7045]	Time 0.113 (0.251)	Data 0.062 (0.186)	Loss 2.4800 (2.5728)	Prec@1 39.453 (37.783)	Prec@5 67.969 (67.681)
Epoch: [71][2010/7045]	Time 0.102 (0.251)	Data 0.012 (0.186)	Loss 2.4911 (2.5726)	Prec@1 36.719 (37.784)	Prec@5 69.531 (67.685)
Epoch: [71][2020/7045]	Time 0.101 (0.251)	Data 0.001 (0.186)	Loss 2.3836 (2.5724)	Prec@1 39.453 (37.791)	Prec@5 67.578 (67.691)
Epoch: [71][2030/7045]	Time 0.108 (0.251)	Data 0.048 (0.186)	Loss 2.3707 (2.5724)	Prec@1 38.672 (37.785)	Prec@5 73.047 (67.689)
Epoch: [71][2040/7045]	Time 0.103 (0.251)	Data 0.001 (0.186)	Loss 2.3732 (2.5722)	Prec@1 42.969 (37.793)	Prec@5 70.703 (67.689)
Epoch: [71][2050/7045]	Time 0.139 (0.251)	Data 0.080 (0.186)	Loss 2.7275 (2.5724)	Prec@1 38.672 (37.791)	Prec@5 62.500 (67.686)
Epoch: [71][2060/7045]	Time 0.221 (0.251)	Data 0.169 (0.186)	Loss 2.3603 (2.5723)	Prec@1 40.234 (37.793)	Prec@5 72.656 (67.690)
Epoch: [71][2070/7045]	Time 0.200 (0.251)	Data 0.148 (0.186)	Loss 2.6986 (2.5724)	Prec@1 34.766 (37.794)	Prec@5 63.672 (67.691)
Epoch: [71][2080/7045]	Time 0.228 (0.251)	Data 0.178 (0.186)	Loss 2.5328 (2.5728)	Prec@1 41.406 (37.795)	Prec@5 70.703 (67.682)
Epoch: [71][2090/7045]	Time 0.154 (0.251)	Data 0.099 (0.186)	Loss 2.6504 (2.5730)	Prec@1 34.375 (37.792)	Prec@5 65.625 (67.678)
Epoch: [71][2100/7045]	Time 0.603 (0.251)	Data 0.541 (0.186)	Loss 2.6033 (2.5729)	Prec@1 38.281 (37.794)	Prec@5 70.703 (67.681)
Epoch: [71][2110/7045]	Time 0.103 (0.251)	Data 0.001 (0.186)	Loss 2.5765 (2.5730)	Prec@1 38.281 (37.791)	Prec@5 65.234 (67.677)
Epoch: [71][2120/7045]	Time 0.616 (0.251)	Data 0.564 (0.186)	Loss 2.5592 (2.5729)	Prec@1 39.844 (37.793)	Prec@5 69.531 (67.678)
Epoch: [71][2130/7045]	Time 0.114 (0.251)	Data 0.062 (0.186)	Loss 2.5844 (2.5727)	Prec@1 36.719 (37.795)	Prec@5 66.016 (67.682)
Epoch: [71][2140/7045]	Time 0.784 (0.251)	Data 0.731 (0.186)	Loss 2.3792 (2.5726)	Prec@1 39.453 (37.798)	Prec@5 73.047 (67.683)
Epoch: [71][2150/7045]	Time 0.102 (0.251)	Data 0.048 (0.186)	Loss 2.7740 (2.5725)	Prec@1 32.031 (37.802)	Prec@5 64.062 (67.683)
Epoch: [71][2160/7045]	Time 0.382 (0.251)	Data 0.330 (0.186)	Loss 2.4649 (2.5728)	Prec@1 41.016 (37.796)	Prec@5 72.266 (67.675)
Epoch: [71][2170/7045]	Time 0.141 (0.251)	Data 0.089 (0.186)	Loss 2.4668 (2.5727)	Prec@1 41.406 (37.801)	Prec@5 69.141 (67.680)
Epoch: [71][2180/7045]	Time 0.102 (0.251)	Data 0.009 (0.186)	Loss 2.5591 (2.5728)	Prec@1 37.500 (37.799)	Prec@5 73.047 (67.682)
Epoch: [71][2190/7045]	Time 0.215 (0.251)	Data 0.163 (0.186)	Loss 2.5519 (2.5729)	Prec@1 36.328 (37.795)	Prec@5 67.969 (67.679)
Epoch: [71][2200/7045]	Time 0.109 (0.251)	Data 0.001 (0.186)	Loss 2.7145 (2.5731)	Prec@1 30.078 (37.788)	Prec@5 66.797 (67.677)
Epoch: [71][2210/7045]	Time 0.103 (0.250)	Data 0.008 (0.186)	Loss 2.6193 (2.5733)	Prec@1 31.250 (37.776)	Prec@5 68.750 (67.672)
Epoch: [71][2220/7045]	Time 0.154 (0.251)	Data 0.102 (0.186)	Loss 2.5873 (2.5732)	Prec@1 36.719 (37.779)	Prec@5 65.625 (67.670)
Epoch: [71][2230/7045]	Time 0.243 (0.251)	Data 0.193 (0.186)	Loss 2.3923 (2.5731)	Prec@1 37.500 (37.774)	Prec@5 72.266 (67.678)
Epoch: [71][2240/7045]	Time 0.124 (0.250)	Data 0.073 (0.186)	Loss 2.5672 (2.5731)	Prec@1 36.719 (37.777)	Prec@5 67.578 (67.676)
Epoch: [71][2250/7045]	Time 0.438 (0.251)	Data 0.387 (0.186)	Loss 2.6655 (2.5730)	Prec@1 35.156 (37.778)	Prec@5 67.578 (67.677)
Epoch: [71][2260/7045]	Time 0.253 (0.250)	Data 0.202 (0.186)	Loss 2.7443 (2.5728)	Prec@1 35.938 (37.780)	Prec@5 62.891 (67.682)
Epoch: [71][2270/7045]	Time 0.102 (0.250)	Data 0.007 (0.186)	Loss 2.5686 (2.5727)	Prec@1 36.719 (37.782)	Prec@5 68.359 (67.684)
Epoch: [71][2280/7045]	Time 0.102 (0.250)	Data 0.001 (0.186)	Loss 2.7151 (2.5731)	Prec@1 34.766 (37.773)	Prec@5 66.797 (67.676)
Epoch: [71][2290/7045]	Time 0.102 (0.250)	Data 0.018 (0.186)	Loss 2.6674 (2.5732)	Prec@1 34.766 (37.772)	Prec@5 66.406 (67.676)
Epoch: [71][2300/7045]	Time 0.553 (0.251)	Data 0.502 (0.186)	Loss 2.7896 (2.5735)	Prec@1 36.719 (37.765)	Prec@5 64.453 (67.671)
Epoch: [71][2310/7045]	Time 0.186 (0.250)	Data 0.135 (0.186)	Loss 2.6034 (2.5733)	Prec@1 39.062 (37.774)	Prec@5 67.578 (67.678)
Epoch: [71][2320/7045]	Time 0.629 (0.251)	Data 0.577 (0.186)	Loss 2.6637 (2.5732)	Prec@1 35.938 (37.775)	Prec@5 65.625 (67.682)
Epoch: [71][2330/7045]	Time 0.113 (0.250)	Data 0.051 (0.186)	Loss 2.5294 (2.5734)	Prec@1 32.812 (37.773)	Prec@5 68.750 (67.679)
Epoch: [71][2340/7045]	Time 0.564 (0.251)	Data 0.513 (0.186)	Loss 2.6502 (2.5731)	Prec@1 35.938 (37.779)	Prec@5 69.141 (67.686)
Epoch: [71][2350/7045]	Time 0.108 (0.250)	Data 0.056 (0.186)	Loss 2.4988 (2.5732)	Prec@1 40.625 (37.779)	Prec@5 73.438 (67.686)
Epoch: [71][2360/7045]	Time 0.753 (0.251)	Data 0.702 (0.186)	Loss 2.9310 (2.5735)	Prec@1 33.984 (37.778)	Prec@5 60.938 (67.680)
Epoch: [71][2370/7045]	Time 0.101 (0.250)	Data 0.001 (0.186)	Loss 2.7081 (2.5737)	Prec@1 35.938 (37.773)	Prec@5 65.625 (67.675)
Epoch: [71][2380/7045]	Time 0.422 (0.250)	Data 0.361 (0.186)	Loss 2.5252 (2.5737)	Prec@1 38.672 (37.775)	Prec@5 68.359 (67.675)
Epoch: [71][2390/7045]	Time 0.102 (0.250)	Data 0.041 (0.186)	Loss 2.4938 (2.5737)	Prec@1 36.328 (37.769)	Prec@5 68.750 (67.677)
Epoch: [71][2400/7045]	Time 0.197 (0.250)	Data 0.146 (0.186)	Loss 2.5942 (2.5738)	Prec@1 38.672 (37.773)	Prec@5 66.797 (67.678)
Epoch: [71][2410/7045]	Time 0.103 (0.250)	Data 0.010 (0.186)	Loss 2.6387 (2.5739)	Prec@1 37.891 (37.771)	Prec@5 68.359 (67.676)
Epoch: [71][2420/7045]	Time 0.111 (0.250)	Data 0.017 (0.186)	Loss 2.6880 (2.5742)	Prec@1 34.766 (37.768)	Prec@5 69.531 (67.674)
Epoch: [71][2430/7045]	Time 0.102 (0.250)	Data 0.001 (0.186)	Loss 2.3245 (2.5741)	Prec@1 44.141 (37.768)	Prec@5 74.219 (67.678)
Epoch: [71][2440/7045]	Time 0.213 (0.250)	Data 0.163 (0.186)	Loss 2.7366 (2.5741)	Prec@1 31.250 (37.769)	Prec@5 67.578 (67.679)
Epoch: [71][2450/7045]	Time 0.102 (0.250)	Data 0.007 (0.186)	Loss 2.6978 (2.5740)	Prec@1 39.062 (37.773)	Prec@5 67.188 (67.684)
Epoch: [71][2460/7045]	Time 0.103 (0.250)	Data 0.005 (0.186)	Loss 2.6678 (2.5736)	Prec@1 35.156 (37.783)	Prec@5 67.969 (67.693)
Epoch: [71][2470/7045]	Time 0.103 (0.250)	Data 0.001 (0.186)	Loss 2.5188 (2.5735)	Prec@1 37.109 (37.784)	Prec@5 70.312 (67.695)
Epoch: [71][2480/7045]	Time 0.175 (0.250)	Data 0.115 (0.186)	Loss 2.5792 (2.5734)	Prec@1 38.281 (37.785)	Prec@5 68.359 (67.699)
Epoch: [71][2490/7045]	Time 0.246 (0.250)	Data 0.195 (0.186)	Loss 2.6017 (2.5733)	Prec@1 36.719 (37.788)	Prec@5 65.625 (67.698)
Epoch: [71][2500/7045]	Time 0.339 (0.250)	Data 0.277 (0.186)	Loss 2.1071 (2.5733)	Prec@1 47.266 (37.791)	Prec@5 75.000 (67.700)
Epoch: [71][2510/7045]	Time 0.191 (0.250)	Data 0.139 (0.186)	Loss 2.7001 (2.5736)	Prec@1 37.891 (37.786)	Prec@5 66.016 (67.693)
Epoch: [71][2520/7045]	Time 0.510 (0.250)	Data 0.459 (0.186)	Loss 2.7785 (2.5737)	Prec@1 30.469 (37.784)	Prec@5 64.844 (67.690)
Epoch: [71][2530/7045]	Time 0.146 (0.250)	Data 0.095 (0.186)	Loss 2.2514 (2.5737)	Prec@1 44.922 (37.782)	Prec@5 73.828 (67.691)
Epoch: [71][2540/7045]	Time 0.407 (0.250)	Data 0.356 (0.186)	Loss 2.4490 (2.5736)	Prec@1 37.500 (37.783)	Prec@5 68.750 (67.694)
Epoch: [71][2550/7045]	Time 0.205 (0.250)	Data 0.145 (0.186)	Loss 2.6568 (2.5736)	Prec@1 35.156 (37.781)	Prec@5 67.188 (67.695)
Epoch: [71][2560/7045]	Time 0.531 (0.250)	Data 0.480 (0.186)	Loss 2.5113 (2.5739)	Prec@1 40.234 (37.773)	Prec@5 65.234 (67.691)
Epoch: [71][2570/7045]	Time 0.147 (0.250)	Data 0.083 (0.186)	Loss 2.6757 (2.5740)	Prec@1 36.328 (37.769)	Prec@5 63.281 (67.684)
Epoch: [71][2580/7045]	Time 0.556 (0.250)	Data 0.497 (0.186)	Loss 2.6350 (2.5740)	Prec@1 38.281 (37.770)	Prec@5 64.844 (67.683)
Epoch: [71][2590/7045]	Time 0.171 (0.250)	Data 0.115 (0.186)	Loss 2.4980 (2.5742)	Prec@1 40.234 (37.768)	Prec@5 70.312 (67.678)
Epoch: [71][2600/7045]	Time 0.479 (0.250)	Data 0.421 (0.186)	Loss 2.3923 (2.5740)	Prec@1 40.625 (37.770)	Prec@5 67.578 (67.681)
Epoch: [71][2610/7045]	Time 0.234 (0.250)	Data 0.183 (0.186)	Loss 2.5213 (2.5739)	Prec@1 45.312 (37.773)	Prec@5 67.578 (67.681)
Epoch: [71][2620/7045]	Time 0.390 (0.250)	Data 0.330 (0.186)	Loss 2.5716 (2.5738)	Prec@1 39.062 (37.773)	Prec@5 67.188 (67.679)
Epoch: [71][2630/7045]	Time 0.101 (0.250)	Data 0.001 (0.186)	Loss 2.7123 (2.5741)	Prec@1 37.891 (37.771)	Prec@5 66.797 (67.675)
Epoch: [71][2640/7045]	Time 0.110 (0.250)	Data 0.010 (0.186)	Loss 2.6438 (2.5742)	Prec@1 38.672 (37.771)	Prec@5 65.234 (67.671)
Epoch: [71][2650/7045]	Time 0.101 (0.250)	Data 0.001 (0.185)	Loss 2.3314 (2.5744)	Prec@1 44.141 (37.770)	Prec@5 71.875 (67.671)
Epoch: [71][2660/7045]	Time 0.112 (0.250)	Data 0.001 (0.185)	Loss 2.7639 (2.5744)	Prec@1 35.938 (37.772)	Prec@5 62.109 (67.670)
Epoch: [71][2670/7045]	Time 0.101 (0.250)	Data 0.001 (0.185)	Loss 2.5755 (2.5745)	Prec@1 35.156 (37.775)	Prec@5 64.453 (67.665)
Epoch: [71][2680/7045]	Time 0.109 (0.250)	Data 0.012 (0.185)	Loss 2.4542 (2.5745)	Prec@1 39.062 (37.771)	Prec@5 69.922 (67.661)
Epoch: [71][2690/7045]	Time 0.101 (0.250)	Data 0.047 (0.185)	Loss 2.4522 (2.5742)	Prec@1 46.484 (37.773)	Prec@5 71.484 (67.667)
Epoch: [71][2700/7045]	Time 0.110 (0.250)	Data 0.050 (0.185)	Loss 2.7578 (2.5743)	Prec@1 35.156 (37.772)	Prec@5 63.672 (67.666)
Epoch: [71][2710/7045]	Time 0.219 (0.250)	Data 0.168 (0.185)	Loss 2.4425 (2.5743)	Prec@1 37.891 (37.773)	Prec@5 69.922 (67.666)
Epoch: [71][2720/7045]	Time 0.223 (0.250)	Data 0.170 (0.185)	Loss 2.6293 (2.5745)	Prec@1 37.109 (37.769)	Prec@5 67.188 (67.658)
Epoch: [71][2730/7045]	Time 0.412 (0.250)	Data 0.361 (0.185)	Loss 2.4933 (2.5745)	Prec@1 39.453 (37.770)	Prec@5 71.875 (67.658)
Epoch: [71][2740/7045]	Time 0.294 (0.250)	Data 0.243 (0.185)	Loss 2.4231 (2.5745)	Prec@1 40.625 (37.768)	Prec@5 72.266 (67.661)
Epoch: [71][2750/7045]	Time 0.221 (0.250)	Data 0.169 (0.185)	Loss 2.5556 (2.5744)	Prec@1 38.281 (37.772)	Prec@5 68.750 (67.662)
Epoch: [71][2760/7045]	Time 0.204 (0.250)	Data 0.153 (0.185)	Loss 2.5563 (2.5745)	Prec@1 39.844 (37.771)	Prec@5 66.406 (67.658)
Epoch: [71][2770/7045]	Time 0.106 (0.250)	Data 0.001 (0.185)	Loss 2.4736 (2.5742)	Prec@1 38.672 (37.776)	Prec@5 68.359 (67.660)
Epoch: [71][2780/7045]	Time 0.118 (0.250)	Data 0.066 (0.185)	Loss 2.5892 (2.5741)	Prec@1 34.375 (37.781)	Prec@5 65.234 (67.663)
Epoch: [71][2790/7045]	Time 0.417 (0.250)	Data 0.363 (0.185)	Loss 2.6020 (2.5740)	Prec@1 41.406 (37.783)	Prec@5 66.797 (67.665)
Epoch: [71][2800/7045]	Time 0.103 (0.250)	Data 0.051 (0.185)	Loss 2.6331 (2.5739)	Prec@1 37.891 (37.789)	Prec@5 66.797 (67.666)
Epoch: [71][2810/7045]	Time 0.724 (0.250)	Data 0.671 (0.185)	Loss 2.5002 (2.5739)	Prec@1 41.406 (37.791)	Prec@5 68.750 (67.666)
Epoch: [71][2820/7045]	Time 0.102 (0.250)	Data 0.001 (0.185)	Loss 2.4858 (2.5740)	Prec@1 42.578 (37.790)	Prec@5 68.750 (67.666)
Epoch: [71][2830/7045]	Time 0.410 (0.250)	Data 0.359 (0.185)	Loss 2.3216 (2.5740)	Prec@1 41.406 (37.790)	Prec@5 71.484 (67.663)
Epoch: [71][2840/7045]	Time 0.554 (0.250)	Data 0.502 (0.185)	Loss 2.3597 (2.5739)	Prec@1 38.281 (37.787)	Prec@5 73.047 (67.666)
Epoch: [71][2850/7045]	Time 0.109 (0.250)	Data 0.057 (0.185)	Loss 2.7313 (2.5740)	Prec@1 32.031 (37.787)	Prec@5 65.625 (67.662)
Epoch: [71][2860/7045]	Time 0.755 (0.250)	Data 0.704 (0.185)	Loss 2.7786 (2.5740)	Prec@1 33.984 (37.786)	Prec@5 59.766 (67.656)
Epoch: [71][2870/7045]	Time 0.110 (0.250)	Data 0.001 (0.185)	Loss 2.4442 (2.5741)	Prec@1 39.453 (37.782)	Prec@5 68.750 (67.657)
Epoch: [71][2880/7045]	Time 0.510 (0.250)	Data 0.452 (0.185)	Loss 2.4624 (2.5741)	Prec@1 39.453 (37.785)	Prec@5 68.359 (67.658)
Epoch: [71][2890/7045]	Time 0.323 (0.250)	Data 0.273 (0.185)	Loss 2.6061 (2.5741)	Prec@1 37.500 (37.784)	Prec@5 66.406 (67.657)
Epoch: [71][2900/7045]	Time 0.365 (0.250)	Data 0.313 (0.185)	Loss 2.4925 (2.5741)	Prec@1 41.016 (37.784)	Prec@5 67.969 (67.655)
Epoch: [71][2910/7045]	Time 0.272 (0.250)	Data 0.214 (0.185)	Loss 2.4756 (2.5740)	Prec@1 41.016 (37.789)	Prec@5 69.141 (67.657)
Epoch: [71][2920/7045]	Time 0.102 (0.250)	Data 0.021 (0.185)	Loss 2.7331 (2.5739)	Prec@1 31.250 (37.789)	Prec@5 64.453 (67.661)
Epoch: [71][2930/7045]	Time 0.265 (0.250)	Data 0.213 (0.185)	Loss 2.8631 (2.5740)	Prec@1 33.594 (37.788)	Prec@5 59.375 (67.661)
Epoch: [71][2940/7045]	Time 0.363 (0.250)	Data 0.304 (0.185)	Loss 2.7419 (2.5742)	Prec@1 35.547 (37.784)	Prec@5 64.844 (67.655)
Epoch: [71][2950/7045]	Time 0.400 (0.250)	Data 0.349 (0.185)	Loss 2.3545 (2.5744)	Prec@1 42.188 (37.778)	Prec@5 71.094 (67.651)
Epoch: [71][2960/7045]	Time 0.764 (0.250)	Data 0.712 (0.185)	Loss 2.8244 (2.5748)	Prec@1 32.422 (37.772)	Prec@5 62.891 (67.643)
Epoch: [71][2970/7045]	Time 0.102 (0.250)	Data 0.001 (0.185)	Loss 2.8371 (2.5752)	Prec@1 37.109 (37.770)	Prec@5 64.062 (67.635)
Epoch: [71][2980/7045]	Time 0.634 (0.250)	Data 0.582 (0.185)	Loss 2.4359 (2.5752)	Prec@1 39.844 (37.769)	Prec@5 70.312 (67.637)
Epoch: [71][2990/7045]	Time 0.170 (0.250)	Data 0.118 (0.185)	Loss 2.7665 (2.5752)	Prec@1 35.938 (37.768)	Prec@5 65.625 (67.641)
Epoch: [71][3000/7045]	Time 0.384 (0.250)	Data 0.333 (0.185)	Loss 2.7096 (2.5754)	Prec@1 29.297 (37.765)	Prec@5 64.844 (67.642)
Epoch: [71][3010/7045]	Time 0.182 (0.250)	Data 0.130 (0.185)	Loss 2.4648 (2.5755)	Prec@1 42.188 (37.763)	Prec@5 69.141 (67.641)
Epoch: [71][3020/7045]	Time 0.139 (0.250)	Data 0.079 (0.185)	Loss 2.5499 (2.5755)	Prec@1 38.672 (37.762)	Prec@5 68.359 (67.641)
Epoch: [71][3030/7045]	Time 0.101 (0.250)	Data 0.001 (0.185)	Loss 2.5258 (2.5753)	Prec@1 37.891 (37.766)	Prec@5 65.625 (67.647)
Epoch: [71][3040/7045]	Time 0.184 (0.250)	Data 0.132 (0.185)	Loss 2.6444 (2.5751)	Prec@1 40.625 (37.771)	Prec@5 64.844 (67.645)
Epoch: [71][3050/7045]	Time 0.198 (0.250)	Data 0.146 (0.185)	Loss 2.6542 (2.5750)	Prec@1 35.547 (37.771)	Prec@5 62.891 (67.646)
Epoch: [71][3060/7045]	Time 0.102 (0.250)	Data 0.001 (0.185)	Loss 2.3134 (2.5751)	Prec@1 44.922 (37.773)	Prec@5 71.484 (67.643)
Epoch: [71][3070/7045]	Time 0.612 (0.250)	Data 0.561 (0.185)	Loss 2.7093 (2.5753)	Prec@1 36.328 (37.771)	Prec@5 64.844 (67.642)
Epoch: [71][3080/7045]	Time 0.102 (0.250)	Data 0.001 (0.185)	Loss 2.5559 (2.5753)	Prec@1 40.625 (37.770)	Prec@5 67.969 (67.641)
Epoch: [71][3090/7045]	Time 0.634 (0.250)	Data 0.576 (0.185)	Loss 2.7805 (2.5754)	Prec@1 31.250 (37.768)	Prec@5 64.062 (67.642)
Epoch: [71][3100/7045]	Time 0.113 (0.250)	Data 0.022 (0.185)	Loss 2.5980 (2.5753)	Prec@1 39.453 (37.774)	Prec@5 66.406 (67.643)
Epoch: [71][3110/7045]	Time 0.631 (0.250)	Data 0.579 (0.185)	Loss 2.5713 (2.5753)	Prec@1 36.328 (37.769)	Prec@5 68.750 (67.646)
Epoch: [71][3120/7045]	Time 0.103 (0.250)	Data 0.001 (0.185)	Loss 2.7879 (2.5754)	Prec@1 31.641 (37.765)	Prec@5 62.891 (67.642)
Epoch: [71][3130/7045]	Time 0.577 (0.250)	Data 0.525 (0.185)	Loss 2.4420 (2.5755)	Prec@1 42.188 (37.763)	Prec@5 70.312 (67.642)
Epoch: [71][3140/7045]	Time 0.106 (0.250)	Data 0.001 (0.185)	Loss 2.6669 (2.5755)	Prec@1 33.984 (37.761)	Prec@5 65.234 (67.641)
Epoch: [71][3150/7045]	Time 0.350 (0.250)	Data 0.299 (0.185)	Loss 2.5687 (2.5755)	Prec@1 35.156 (37.760)	Prec@5 67.969 (67.640)
Epoch: [71][3160/7045]	Time 0.103 (0.250)	Data 0.013 (0.185)	Loss 2.6954 (2.5754)	Prec@1 34.766 (37.760)	Prec@5 64.844 (67.640)
Epoch: [71][3170/7045]	Time 0.150 (0.250)	Data 0.099 (0.185)	Loss 2.4938 (2.5753)	Prec@1 36.719 (37.761)	Prec@5 67.578 (67.642)
Epoch: [71][3180/7045]	Time 0.196 (0.250)	Data 0.145 (0.185)	Loss 2.7304 (2.5753)	Prec@1 35.938 (37.759)	Prec@5 63.281 (67.644)
Epoch: [71][3190/7045]	Time 0.101 (0.250)	Data 0.017 (0.185)	Loss 2.7006 (2.5755)	Prec@1 39.844 (37.758)	Prec@5 67.188 (67.640)
Epoch: [71][3200/7045]	Time 0.502 (0.250)	Data 0.452 (0.185)	Loss 2.5618 (2.5756)	Prec@1 37.500 (37.756)	Prec@5 68.750 (67.637)
Epoch: [71][3210/7045]	Time 0.199 (0.250)	Data 0.148 (0.185)	Loss 2.7153 (2.5756)	Prec@1 30.469 (37.755)	Prec@5 62.891 (67.639)
Epoch: [71][3220/7045]	Time 0.101 (0.250)	Data 0.003 (0.185)	Loss 2.6352 (2.5756)	Prec@1 37.500 (37.754)	Prec@5 67.188 (67.641)
Epoch: [71][3230/7045]	Time 0.272 (0.250)	Data 0.221 (0.185)	Loss 2.5381 (2.5756)	Prec@1 36.328 (37.752)	Prec@5 70.703 (67.643)
Epoch: [71][3240/7045]	Time 0.098 (0.250)	Data 0.046 (0.185)	Loss 2.7640 (2.5756)	Prec@1 35.938 (37.751)	Prec@5 65.625 (67.640)
Epoch: [71][3250/7045]	Time 0.281 (0.250)	Data 0.230 (0.185)	Loss 2.6867 (2.5757)	Prec@1 32.422 (37.748)	Prec@5 65.625 (67.638)
Epoch: [71][3260/7045]	Time 0.443 (0.250)	Data 0.391 (0.185)	Loss 2.6342 (2.5759)	Prec@1 40.234 (37.746)	Prec@5 64.453 (67.634)
Epoch: [71][3270/7045]	Time 0.102 (0.250)	Data 0.015 (0.185)	Loss 2.7808 (2.5760)	Prec@1 37.500 (37.744)	Prec@5 64.453 (67.634)
Epoch: [71][3280/7045]	Time 0.694 (0.250)	Data 0.643 (0.185)	Loss 2.5061 (2.5761)	Prec@1 42.188 (37.744)	Prec@5 68.750 (67.630)
Epoch: [71][3290/7045]	Time 0.125 (0.250)	Data 0.073 (0.185)	Loss 2.3435 (2.5759)	Prec@1 41.406 (37.748)	Prec@5 72.266 (67.635)
Epoch: [71][3300/7045]	Time 0.195 (0.250)	Data 0.136 (0.185)	Loss 2.6155 (2.5759)	Prec@1 34.766 (37.746)	Prec@5 68.359 (67.634)
Epoch: [71][3310/7045]	Time 0.108 (0.250)	Data 0.057 (0.185)	Loss 2.6043 (2.5760)	Prec@1 41.406 (37.748)	Prec@5 66.797 (67.635)
Epoch: [71][3320/7045]	Time 0.118 (0.250)	Data 0.066 (0.185)	Loss 2.3833 (2.5761)	Prec@1 41.406 (37.745)	Prec@5 73.438 (67.634)
Epoch: [71][3330/7045]	Time 0.106 (0.250)	Data 0.054 (0.185)	Loss 2.7713 (2.5762)	Prec@1 31.250 (37.742)	Prec@5 62.500 (67.632)
Epoch: [71][3340/7045]	Time 0.102 (0.250)	Data 0.005 (0.185)	Loss 2.4494 (2.5762)	Prec@1 39.844 (37.743)	Prec@5 69.531 (67.631)
Epoch: [71][3350/7045]	Time 0.721 (0.250)	Data 0.668 (0.185)	Loss 2.5998 (2.5763)	Prec@1 39.844 (37.745)	Prec@5 67.188 (67.632)
Epoch: [71][3360/7045]	Time 0.277 (0.250)	Data 0.213 (0.185)	Loss 2.6810 (2.5763)	Prec@1 37.891 (37.745)	Prec@5 63.672 (67.632)
Epoch: [71][3370/7045]	Time 0.485 (0.250)	Data 0.434 (0.185)	Loss 2.4492 (2.5763)	Prec@1 44.922 (37.745)	Prec@5 71.484 (67.629)
Epoch: [71][3380/7045]	Time 0.536 (0.250)	Data 0.486 (0.185)	Loss 2.6417 (2.5765)	Prec@1 36.328 (37.743)	Prec@5 64.453 (67.626)
Epoch: [71][3390/7045]	Time 0.139 (0.250)	Data 0.087 (0.185)	Loss 2.5821 (2.5764)	Prec@1 39.844 (37.748)	Prec@5 69.531 (67.626)
Epoch: [71][3400/7045]	Time 0.245 (0.250)	Data 0.195 (0.185)	Loss 2.6536 (2.5766)	Prec@1 33.594 (37.742)	Prec@5 67.188 (67.625)
Epoch: [71][3410/7045]	Time 0.281 (0.250)	Data 0.230 (0.185)	Loss 2.7227 (2.5765)	Prec@1 37.891 (37.743)	Prec@5 66.406 (67.626)
Epoch: [71][3420/7045]	Time 0.148 (0.250)	Data 0.091 (0.185)	Loss 2.7388 (2.5766)	Prec@1 33.203 (37.745)	Prec@5 66.406 (67.625)
Epoch: [71][3430/7045]	Time 0.377 (0.250)	Data 0.325 (0.185)	Loss 2.5309 (2.5766)	Prec@1 38.281 (37.741)	Prec@5 69.922 (67.624)
Epoch: [71][3440/7045]	Time 0.168 (0.250)	Data 0.116 (0.185)	Loss 2.5968 (2.5766)	Prec@1 34.375 (37.741)	Prec@5 66.016 (67.624)
Epoch: [71][3450/7045]	Time 0.263 (0.250)	Data 0.211 (0.185)	Loss 2.5438 (2.5768)	Prec@1 36.719 (37.738)	Prec@5 69.141 (67.618)
Epoch: [71][3460/7045]	Time 0.259 (0.250)	Data 0.207 (0.185)	Loss 2.5934 (2.5769)	Prec@1 39.453 (37.738)	Prec@5 65.625 (67.616)
Epoch: [71][3470/7045]	Time 0.101 (0.250)	Data 0.017 (0.185)	Loss 2.7143 (2.5768)	Prec@1 36.328 (37.741)	Prec@5 60.156 (67.616)
Epoch: [71][3480/7045]	Time 0.106 (0.250)	Data 0.049 (0.185)	Loss 2.5661 (2.5767)	Prec@1 37.500 (37.747)	Prec@5 69.922 (67.621)
Epoch: [71][3490/7045]	Time 0.110 (0.250)	Data 0.046 (0.185)	Loss 2.3688 (2.5764)	Prec@1 43.750 (37.754)	Prec@5 72.266 (67.627)
Epoch: [71][3500/7045]	Time 0.102 (0.250)	Data 0.001 (0.185)	Loss 2.7502 (2.5765)	Prec@1 32.031 (37.750)	Prec@5 63.672 (67.626)
Epoch: [71][3510/7045]	Time 0.145 (0.250)	Data 0.094 (0.185)	Loss 2.5055 (2.5768)	Prec@1 37.109 (37.746)	Prec@5 69.922 (67.620)
Epoch: [71][3520/7045]	Time 0.102 (0.250)	Data 0.001 (0.185)	Loss 2.6451 (2.5768)	Prec@1 35.156 (37.745)	Prec@5 64.062 (67.619)
Epoch: [71][3530/7045]	Time 0.278 (0.250)	Data 0.219 (0.185)	Loss 2.7614 (2.5769)	Prec@1 35.156 (37.741)	Prec@5 62.109 (67.615)
Epoch: [71][3540/7045]	Time 0.103 (0.250)	Data 0.001 (0.185)	Loss 2.7121 (2.5769)	Prec@1 38.672 (37.744)	Prec@5 64.844 (67.617)
Epoch: [71][3550/7045]	Time 0.520 (0.250)	Data 0.469 (0.185)	Loss 2.5340 (2.5767)	Prec@1 37.109 (37.746)	Prec@5 70.312 (67.621)
Epoch: [71][3560/7045]	Time 0.101 (0.250)	Data 0.001 (0.185)	Loss 2.4860 (2.5768)	Prec@1 38.672 (37.745)	Prec@5 69.922 (67.621)
Epoch: [71][3570/7045]	Time 0.600 (0.250)	Data 0.540 (0.185)	Loss 2.5280 (2.5769)	Prec@1 41.797 (37.746)	Prec@5 67.188 (67.620)
Epoch: [71][3580/7045]	Time 0.102 (0.250)	Data 0.046 (0.185)	Loss 2.5388 (2.5768)	Prec@1 37.500 (37.748)	Prec@5 67.969 (67.622)
Epoch: [71][3590/7045]	Time 0.587 (0.250)	Data 0.536 (0.185)	Loss 2.5735 (2.5767)	Prec@1 41.016 (37.751)	Prec@5 68.750 (67.623)
Epoch: [71][3600/7045]	Time 0.101 (0.250)	Data 0.001 (0.185)	Loss 2.4848 (2.5766)	Prec@1 39.844 (37.752)	Prec@5 69.922 (67.625)
Epoch: [71][3610/7045]	Time 0.498 (0.250)	Data 0.447 (0.185)	Loss 2.8188 (2.5767)	Prec@1 32.422 (37.751)	Prec@5 60.938 (67.623)
Epoch: [71][3620/7045]	Time 0.174 (0.250)	Data 0.111 (0.185)	Loss 2.6393 (2.5767)	Prec@1 35.547 (37.752)	Prec@5 64.453 (67.623)
Epoch: [71][3630/7045]	Time 0.477 (0.250)	Data 0.425 (0.185)	Loss 2.5073 (2.5766)	Prec@1 36.328 (37.752)	Prec@5 69.141 (67.624)
Epoch: [71][3640/7045]	Time 0.124 (0.249)	Data 0.073 (0.185)	Loss 2.3275 (2.5766)	Prec@1 42.188 (37.752)	Prec@5 70.703 (67.624)
Epoch: [71][3650/7045]	Time 0.475 (0.249)	Data 0.424 (0.185)	Loss 2.5624 (2.5766)	Prec@1 37.500 (37.750)	Prec@5 68.750 (67.625)
Epoch: [71][3660/7045]	Time 0.111 (0.249)	Data 0.059 (0.185)	Loss 2.5414 (2.5765)	Prec@1 39.062 (37.751)	Prec@5 70.312 (67.625)
Epoch: [71][3670/7045]	Time 0.543 (0.249)	Data 0.492 (0.185)	Loss 2.6162 (2.5766)	Prec@1 35.938 (37.746)	Prec@5 66.797 (67.624)
Epoch: [71][3680/7045]	Time 0.103 (0.249)	Data 0.021 (0.185)	Loss 2.7806 (2.5767)	Prec@1 35.156 (37.745)	Prec@5 64.062 (67.623)
Epoch: [71][3690/7045]	Time 0.551 (0.249)	Data 0.490 (0.185)	Loss 2.5509 (2.5767)	Prec@1 36.719 (37.745)	Prec@5 70.703 (67.625)
Epoch: [71][3700/7045]	Time 0.158 (0.249)	Data 0.108 (0.185)	Loss 2.7709 (2.5768)	Prec@1 30.078 (37.744)	Prec@5 62.109 (67.623)
Epoch: [71][3710/7045]	Time 0.551 (0.249)	Data 0.501 (0.185)	Loss 2.6671 (2.5768)	Prec@1 39.453 (37.737)	Prec@5 64.453 (67.620)
Epoch: [71][3720/7045]	Time 0.224 (0.249)	Data 0.172 (0.185)	Loss 2.7327 (2.5769)	Prec@1 35.156 (37.736)	Prec@5 64.453 (67.617)
Epoch: [71][3730/7045]	Time 0.601 (0.249)	Data 0.542 (0.185)	Loss 2.3482 (2.5770)	Prec@1 43.750 (37.735)	Prec@5 71.094 (67.616)
Epoch: [71][3740/7045]	Time 0.105 (0.249)	Data 0.053 (0.185)	Loss 2.4657 (2.5769)	Prec@1 40.625 (37.736)	Prec@5 68.750 (67.621)
Epoch: [71][3750/7045]	Time 0.246 (0.249)	Data 0.194 (0.185)	Loss 2.6304 (2.5769)	Prec@1 37.891 (37.737)	Prec@5 68.359 (67.623)
Epoch: [71][3760/7045]	Time 0.103 (0.249)	Data 0.004 (0.185)	Loss 2.5719 (2.5770)	Prec@1 38.281 (37.736)	Prec@5 67.969 (67.624)
Epoch: [71][3770/7045]	Time 0.181 (0.249)	Data 0.120 (0.185)	Loss 2.6370 (2.5771)	Prec@1 39.844 (37.735)	Prec@5 65.234 (67.623)
Epoch: [71][3780/7045]	Time 0.102 (0.249)	Data 0.008 (0.185)	Loss 2.4917 (2.5770)	Prec@1 44.141 (37.738)	Prec@5 67.969 (67.623)
Epoch: [71][3790/7045]	Time 0.111 (0.249)	Data 0.001 (0.185)	Loss 2.7431 (2.5768)	Prec@1 35.938 (37.739)	Prec@5 61.719 (67.626)
Epoch: [71][3800/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 2.7302 (2.5769)	Prec@1 33.203 (37.738)	Prec@5 62.891 (67.624)
Epoch: [71][3810/7045]	Time 0.126 (0.249)	Data 0.074 (0.184)	Loss 2.5233 (2.5768)	Prec@1 41.406 (37.744)	Prec@5 67.969 (67.623)
Epoch: [71][3820/7045]	Time 0.102 (0.249)	Data 0.012 (0.184)	Loss 2.3890 (2.5767)	Prec@1 44.141 (37.746)	Prec@5 71.484 (67.626)
Epoch: [71][3830/7045]	Time 0.109 (0.249)	Data 0.006 (0.184)	Loss 2.4665 (2.5767)	Prec@1 38.281 (37.747)	Prec@5 71.484 (67.624)
Epoch: [71][3840/7045]	Time 0.103 (0.249)	Data 0.001 (0.184)	Loss 2.6509 (2.5767)	Prec@1 39.844 (37.747)	Prec@5 66.406 (67.623)
Epoch: [71][3850/7045]	Time 0.132 (0.249)	Data 0.071 (0.184)	Loss 2.6191 (2.5767)	Prec@1 42.969 (37.751)	Prec@5 65.625 (67.623)
Epoch: [71][3860/7045]	Time 0.101 (0.249)	Data 0.042 (0.184)	Loss 2.7512 (2.5767)	Prec@1 28.516 (37.750)	Prec@5 64.844 (67.625)
Epoch: [71][3870/7045]	Time 0.112 (0.249)	Data 0.061 (0.184)	Loss 2.6765 (2.5768)	Prec@1 34.375 (37.750)	Prec@5 62.109 (67.618)
Epoch: [71][3880/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 2.5311 (2.5768)	Prec@1 36.719 (37.750)	Prec@5 68.750 (67.616)
Epoch: [71][3890/7045]	Time 0.122 (0.249)	Data 0.070 (0.184)	Loss 2.6123 (2.5768)	Prec@1 39.062 (37.751)	Prec@5 66.016 (67.616)
Epoch: [71][3900/7045]	Time 0.103 (0.249)	Data 0.001 (0.184)	Loss 2.5274 (2.5767)	Prec@1 40.234 (37.751)	Prec@5 74.609 (67.618)
Epoch: [71][3910/7045]	Time 0.263 (0.249)	Data 0.211 (0.184)	Loss 2.4548 (2.5768)	Prec@1 39.062 (37.749)	Prec@5 72.266 (67.618)
Epoch: [71][3920/7045]	Time 0.109 (0.249)	Data 0.058 (0.184)	Loss 2.5920 (2.5768)	Prec@1 38.281 (37.750)	Prec@5 65.234 (67.619)
Epoch: [71][3930/7045]	Time 0.227 (0.249)	Data 0.175 (0.184)	Loss 2.5276 (2.5767)	Prec@1 37.500 (37.751)	Prec@5 70.703 (67.618)
Epoch: [71][3940/7045]	Time 0.127 (0.249)	Data 0.075 (0.184)	Loss 2.5995 (2.5768)	Prec@1 38.672 (37.753)	Prec@5 68.750 (67.618)
Epoch: [71][3950/7045]	Time 0.102 (0.249)	Data 0.010 (0.184)	Loss 2.4572 (2.5769)	Prec@1 41.016 (37.748)	Prec@5 64.453 (67.615)
Epoch: [71][3960/7045]	Time 0.171 (0.249)	Data 0.119 (0.184)	Loss 2.8182 (2.5770)	Prec@1 34.375 (37.747)	Prec@5 61.719 (67.615)
Epoch: [71][3970/7045]	Time 0.102 (0.249)	Data 0.011 (0.184)	Loss 2.6068 (2.5771)	Prec@1 37.500 (37.746)	Prec@5 67.969 (67.612)
Epoch: [71][3980/7045]	Time 0.104 (0.249)	Data 0.052 (0.184)	Loss 2.5888 (2.5772)	Prec@1 36.719 (37.744)	Prec@5 68.359 (67.612)
Epoch: [71][3990/7045]	Time 0.114 (0.249)	Data 0.062 (0.184)	Loss 2.5959 (2.5771)	Prec@1 35.938 (37.744)	Prec@5 69.922 (67.616)
Epoch: [71][4000/7045]	Time 0.102 (0.249)	Data 0.016 (0.184)	Loss 2.4778 (2.5769)	Prec@1 37.109 (37.745)	Prec@5 67.969 (67.618)
Epoch: [71][4010/7045]	Time 0.139 (0.249)	Data 0.080 (0.184)	Loss 2.6477 (2.5769)	Prec@1 40.625 (37.750)	Prec@5 67.188 (67.620)
Epoch: [71][4020/7045]	Time 0.134 (0.249)	Data 0.083 (0.184)	Loss 2.3281 (2.5768)	Prec@1 41.406 (37.752)	Prec@5 74.219 (67.622)
Epoch: [71][4030/7045]	Time 0.102 (0.249)	Data 0.008 (0.184)	Loss 2.6648 (2.5767)	Prec@1 33.984 (37.752)	Prec@5 67.969 (67.623)
Epoch: [71][4040/7045]	Time 0.331 (0.249)	Data 0.280 (0.184)	Loss 2.6994 (2.5768)	Prec@1 37.891 (37.752)	Prec@5 66.797 (67.622)
Epoch: [71][4050/7045]	Time 0.133 (0.249)	Data 0.074 (0.184)	Loss 2.5074 (2.5769)	Prec@1 41.797 (37.752)	Prec@5 67.969 (67.621)
Epoch: [71][4060/7045]	Time 0.373 (0.249)	Data 0.322 (0.184)	Loss 2.5203 (2.5769)	Prec@1 41.016 (37.753)	Prec@5 71.094 (67.619)
Epoch: [71][4070/7045]	Time 0.157 (0.249)	Data 0.105 (0.184)	Loss 2.6139 (2.5769)	Prec@1 37.891 (37.750)	Prec@5 67.188 (67.619)
Epoch: [71][4080/7045]	Time 0.321 (0.249)	Data 0.270 (0.184)	Loss 2.7171 (2.5768)	Prec@1 37.891 (37.749)	Prec@5 66.016 (67.622)
Epoch: [71][4090/7045]	Time 0.436 (0.249)	Data 0.386 (0.184)	Loss 2.5303 (2.5767)	Prec@1 37.500 (37.750)	Prec@5 71.094 (67.624)
Epoch: [71][4100/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 2.7196 (2.5768)	Prec@1 39.453 (37.749)	Prec@5 64.844 (67.625)
Epoch: [71][4110/7045]	Time 0.371 (0.249)	Data 0.320 (0.184)	Loss 2.3403 (2.5766)	Prec@1 40.625 (37.750)	Prec@5 71.875 (67.627)
Epoch: [71][4120/7045]	Time 0.193 (0.249)	Data 0.141 (0.184)	Loss 2.6283 (2.5765)	Prec@1 34.766 (37.748)	Prec@5 68.359 (67.631)
Epoch: [71][4130/7045]	Time 0.360 (0.249)	Data 0.308 (0.184)	Loss 2.5267 (2.5764)	Prec@1 38.672 (37.752)	Prec@5 67.969 (67.632)
Epoch: [71][4140/7045]	Time 0.322 (0.249)	Data 0.264 (0.184)	Loss 2.4491 (2.5762)	Prec@1 41.797 (37.757)	Prec@5 68.359 (67.635)
Epoch: [71][4150/7045]	Time 0.105 (0.249)	Data 0.054 (0.184)	Loss 2.5927 (2.5762)	Prec@1 38.672 (37.756)	Prec@5 64.453 (67.638)
Epoch: [71][4160/7045]	Time 0.322 (0.249)	Data 0.272 (0.184)	Loss 2.4945 (2.5762)	Prec@1 38.281 (37.753)	Prec@5 69.531 (67.638)
Epoch: [71][4170/7045]	Time 0.155 (0.249)	Data 0.104 (0.184)	Loss 2.6892 (2.5762)	Prec@1 35.547 (37.755)	Prec@5 66.797 (67.638)
Epoch: [71][4180/7045]	Time 0.394 (0.249)	Data 0.343 (0.184)	Loss 2.4320 (2.5761)	Prec@1 34.766 (37.755)	Prec@5 71.094 (67.642)
Epoch: [71][4190/7045]	Time 0.402 (0.249)	Data 0.350 (0.184)	Loss 2.5983 (2.5762)	Prec@1 38.281 (37.751)	Prec@5 66.406 (67.641)
Epoch: [71][4200/7045]	Time 0.200 (0.249)	Data 0.149 (0.184)	Loss 2.6009 (2.5762)	Prec@1 37.109 (37.748)	Prec@5 67.969 (67.642)
Epoch: [71][4210/7045]	Time 0.527 (0.249)	Data 0.469 (0.184)	Loss 2.4447 (2.5762)	Prec@1 35.156 (37.750)	Prec@5 69.922 (67.640)
Epoch: [71][4220/7045]	Time 0.109 (0.249)	Data 0.001 (0.184)	Loss 2.4826 (2.5762)	Prec@1 42.578 (37.750)	Prec@5 69.141 (67.641)
Epoch: [71][4230/7045]	Time 0.553 (0.249)	Data 0.501 (0.184)	Loss 2.4622 (2.5763)	Prec@1 36.328 (37.746)	Prec@5 71.094 (67.640)
Epoch: [71][4240/7045]	Time 0.247 (0.249)	Data 0.195 (0.184)	Loss 2.4739 (2.5762)	Prec@1 37.109 (37.750)	Prec@5 69.531 (67.641)
Epoch: [71][4250/7045]	Time 0.565 (0.249)	Data 0.513 (0.184)	Loss 2.3378 (2.5761)	Prec@1 42.578 (37.752)	Prec@5 70.312 (67.643)
Epoch: [71][4260/7045]	Time 0.162 (0.249)	Data 0.111 (0.184)	Loss 2.7858 (2.5760)	Prec@1 37.891 (37.754)	Prec@5 64.062 (67.639)
Epoch: [71][4270/7045]	Time 0.265 (0.249)	Data 0.212 (0.184)	Loss 2.6844 (2.5759)	Prec@1 33.984 (37.757)	Prec@5 66.406 (67.642)
Epoch: [71][4280/7045]	Time 0.212 (0.249)	Data 0.161 (0.184)	Loss 2.4037 (2.5758)	Prec@1 39.062 (37.756)	Prec@5 72.266 (67.643)
Epoch: [71][4290/7045]	Time 0.100 (0.249)	Data 0.001 (0.184)	Loss 2.8669 (2.5759)	Prec@1 32.812 (37.756)	Prec@5 60.938 (67.640)
Epoch: [71][4300/7045]	Time 0.112 (0.249)	Data 0.060 (0.184)	Loss 2.6523 (2.5760)	Prec@1 33.594 (37.756)	Prec@5 65.234 (67.639)
Epoch: [71][4310/7045]	Time 0.107 (0.249)	Data 0.055 (0.184)	Loss 2.8764 (2.5759)	Prec@1 28.906 (37.756)	Prec@5 59.375 (67.639)
Epoch: [71][4320/7045]	Time 0.321 (0.249)	Data 0.269 (0.184)	Loss 2.6629 (2.5760)	Prec@1 42.188 (37.758)	Prec@5 64.844 (67.639)
Epoch: [71][4330/7045]	Time 0.191 (0.249)	Data 0.140 (0.184)	Loss 2.5300 (2.5760)	Prec@1 37.500 (37.759)	Prec@5 68.359 (67.638)
Epoch: [71][4340/7045]	Time 0.648 (0.249)	Data 0.596 (0.184)	Loss 2.4698 (2.5760)	Prec@1 38.672 (37.759)	Prec@5 67.969 (67.641)
Epoch: [71][4350/7045]	Time 0.095 (0.249)	Data 0.001 (0.184)	Loss 2.6645 (2.5760)	Prec@1 34.766 (37.757)	Prec@5 66.016 (67.643)
Epoch: [71][4360/7045]	Time 0.515 (0.249)	Data 0.464 (0.184)	Loss 2.6110 (2.5759)	Prec@1 37.891 (37.760)	Prec@5 70.312 (67.644)
Epoch: [71][4370/7045]	Time 0.388 (0.249)	Data 0.337 (0.184)	Loss 2.5834 (2.5758)	Prec@1 36.328 (37.765)	Prec@5 67.969 (67.648)
Epoch: [71][4380/7045]	Time 0.250 (0.249)	Data 0.198 (0.184)	Loss 2.4581 (2.5759)	Prec@1 41.016 (37.763)	Prec@5 70.312 (67.645)
Epoch: [71][4390/7045]	Time 0.477 (0.249)	Data 0.426 (0.184)	Loss 2.5123 (2.5759)	Prec@1 41.797 (37.763)	Prec@5 69.141 (67.644)
Epoch: [71][4400/7045]	Time 0.103 (0.249)	Data 0.010 (0.184)	Loss 2.4284 (2.5760)	Prec@1 44.141 (37.764)	Prec@5 68.359 (67.644)
Epoch: [71][4410/7045]	Time 0.112 (0.249)	Data 0.060 (0.184)	Loss 2.7302 (2.5761)	Prec@1 35.156 (37.764)	Prec@5 65.234 (67.642)
Epoch: [71][4420/7045]	Time 0.102 (0.249)	Data 0.016 (0.184)	Loss 2.5619 (2.5761)	Prec@1 37.500 (37.764)	Prec@5 66.406 (67.640)
Epoch: [71][4430/7045]	Time 0.334 (0.249)	Data 0.282 (0.184)	Loss 2.5933 (2.5761)	Prec@1 37.891 (37.766)	Prec@5 67.188 (67.639)
Epoch: [71][4440/7045]	Time 0.233 (0.249)	Data 0.181 (0.184)	Loss 2.5993 (2.5762)	Prec@1 40.625 (37.762)	Prec@5 67.578 (67.638)
Epoch: [71][4450/7045]	Time 0.365 (0.249)	Data 0.314 (0.185)	Loss 2.8229 (2.5762)	Prec@1 32.031 (37.760)	Prec@5 62.109 (67.639)
Epoch: [71][4460/7045]	Time 0.154 (0.249)	Data 0.102 (0.185)	Loss 2.4860 (2.5762)	Prec@1 40.234 (37.760)	Prec@5 69.922 (67.639)
Epoch: [71][4470/7045]	Time 0.115 (0.249)	Data 0.062 (0.184)	Loss 2.6336 (2.5762)	Prec@1 37.109 (37.763)	Prec@5 66.797 (67.638)
Epoch: [71][4480/7045]	Time 0.119 (0.249)	Data 0.066 (0.185)	Loss 2.6678 (2.5762)	Prec@1 38.281 (37.763)	Prec@5 64.062 (67.636)
Epoch: [71][4490/7045]	Time 0.535 (0.249)	Data 0.483 (0.185)	Loss 2.5844 (2.5763)	Prec@1 39.062 (37.763)	Prec@5 69.141 (67.634)
Epoch: [71][4500/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 2.6452 (2.5763)	Prec@1 34.766 (37.762)	Prec@5 68.750 (67.634)
Epoch: [71][4510/7045]	Time 0.546 (0.249)	Data 0.487 (0.185)	Loss 2.6252 (2.5763)	Prec@1 38.672 (37.761)	Prec@5 67.578 (67.633)
Epoch: [71][4520/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 2.7247 (2.5764)	Prec@1 35.938 (37.760)	Prec@5 64.844 (67.631)
Epoch: [71][4530/7045]	Time 0.286 (0.249)	Data 0.235 (0.185)	Loss 2.6736 (2.5764)	Prec@1 33.984 (37.760)	Prec@5 66.016 (67.631)
Epoch: [71][4540/7045]	Time 0.220 (0.249)	Data 0.169 (0.185)	Loss 2.6660 (2.5762)	Prec@1 32.422 (37.762)	Prec@5 71.484 (67.635)
Epoch: [71][4550/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 2.5965 (2.5762)	Prec@1 30.859 (37.762)	Prec@5 67.188 (67.633)
Epoch: [71][4560/7045]	Time 0.346 (0.249)	Data 0.295 (0.185)	Loss 2.4772 (2.5763)	Prec@1 42.969 (37.761)	Prec@5 69.922 (67.633)
Epoch: [71][4570/7045]	Time 0.122 (0.249)	Data 0.070 (0.185)	Loss 2.8259 (2.5762)	Prec@1 35.547 (37.766)	Prec@5 60.547 (67.632)
Epoch: [71][4580/7045]	Time 0.379 (0.249)	Data 0.327 (0.185)	Loss 2.5014 (2.5764)	Prec@1 42.578 (37.763)	Prec@5 66.406 (67.627)
Epoch: [71][4590/7045]	Time 0.102 (0.249)	Data 0.009 (0.185)	Loss 2.6826 (2.5764)	Prec@1 34.375 (37.764)	Prec@5 65.234 (67.627)
Epoch: [71][4600/7045]	Time 0.102 (0.249)	Data 0.012 (0.185)	Loss 2.3896 (2.5765)	Prec@1 40.234 (37.763)	Prec@5 71.875 (67.628)
Epoch: [71][4610/7045]	Time 0.348 (0.249)	Data 0.297 (0.185)	Loss 2.3439 (2.5764)	Prec@1 44.531 (37.762)	Prec@5 69.141 (67.630)
Epoch: [71][4620/7045]	Time 0.374 (0.249)	Data 0.323 (0.185)	Loss 2.6509 (2.5764)	Prec@1 36.328 (37.761)	Prec@5 66.797 (67.629)
Epoch: [71][4630/7045]	Time 0.447 (0.249)	Data 0.396 (0.185)	Loss 2.7340 (2.5764)	Prec@1 35.156 (37.760)	Prec@5 66.406 (67.629)
Epoch: [71][4640/7045]	Time 0.103 (0.249)	Data 0.001 (0.185)	Loss 2.5358 (2.5765)	Prec@1 36.328 (37.760)	Prec@5 68.750 (67.627)
Epoch: [71][4650/7045]	Time 0.258 (0.249)	Data 0.208 (0.185)	Loss 2.4217 (2.5764)	Prec@1 38.672 (37.760)	Prec@5 73.047 (67.631)
Epoch: [71][4660/7045]	Time 0.162 (0.249)	Data 0.111 (0.185)	Loss 2.5320 (2.5765)	Prec@1 38.672 (37.760)	Prec@5 67.969 (67.630)
Epoch: [71][4670/7045]	Time 0.140 (0.249)	Data 0.088 (0.185)	Loss 2.3527 (2.5764)	Prec@1 37.891 (37.763)	Prec@5 71.094 (67.631)
Epoch: [71][4680/7045]	Time 0.533 (0.249)	Data 0.481 (0.185)	Loss 2.4622 (2.5764)	Prec@1 42.188 (37.765)	Prec@5 69.141 (67.634)
Epoch: [71][4690/7045]	Time 0.181 (0.249)	Data 0.129 (0.185)	Loss 2.5365 (2.5762)	Prec@1 36.719 (37.769)	Prec@5 70.312 (67.638)
Epoch: [71][4700/7045]	Time 0.576 (0.249)	Data 0.519 (0.185)	Loss 2.7650 (2.5762)	Prec@1 34.375 (37.768)	Prec@5 65.234 (67.638)
Epoch: [71][4710/7045]	Time 0.108 (0.249)	Data 0.056 (0.185)	Loss 2.6188 (2.5763)	Prec@1 32.031 (37.767)	Prec@5 67.578 (67.636)
Epoch: [71][4720/7045]	Time 0.643 (0.249)	Data 0.591 (0.185)	Loss 2.6372 (2.5763)	Prec@1 32.422 (37.768)	Prec@5 62.500 (67.635)
Epoch: [71][4730/7045]	Time 0.132 (0.249)	Data 0.080 (0.185)	Loss 2.5966 (2.5763)	Prec@1 39.453 (37.771)	Prec@5 70.703 (67.636)
Epoch: [71][4740/7045]	Time 0.393 (0.249)	Data 0.336 (0.185)	Loss 2.6760 (2.5762)	Prec@1 30.859 (37.773)	Prec@5 69.922 (67.639)
Epoch: [71][4750/7045]	Time 0.469 (0.249)	Data 0.418 (0.185)	Loss 2.7246 (2.5763)	Prec@1 37.109 (37.769)	Prec@5 65.625 (67.638)
Epoch: [71][4760/7045]	Time 0.103 (0.249)	Data 0.052 (0.185)	Loss 2.5175 (2.5763)	Prec@1 40.234 (37.770)	Prec@5 67.188 (67.636)
Epoch: [71][4770/7045]	Time 0.573 (0.249)	Data 0.515 (0.185)	Loss 2.5741 (2.5762)	Prec@1 41.797 (37.772)	Prec@5 68.750 (67.636)
Epoch: [71][4780/7045]	Time 0.103 (0.249)	Data 0.001 (0.185)	Loss 2.5568 (2.5762)	Prec@1 40.234 (37.774)	Prec@5 68.750 (67.638)
Epoch: [71][4790/7045]	Time 0.383 (0.249)	Data 0.332 (0.185)	Loss 2.3313 (2.5762)	Prec@1 41.406 (37.776)	Prec@5 74.219 (67.636)
Epoch: [71][4800/7045]	Time 0.260 (0.249)	Data 0.209 (0.185)	Loss 2.5189 (2.5761)	Prec@1 41.406 (37.780)	Prec@5 66.406 (67.637)
Epoch: [71][4810/7045]	Time 0.101 (0.249)	Data 0.046 (0.185)	Loss 2.6056 (2.5762)	Prec@1 39.453 (37.780)	Prec@5 66.797 (67.634)
Epoch: [71][4820/7045]	Time 0.583 (0.249)	Data 0.532 (0.185)	Loss 2.4689 (2.5763)	Prec@1 37.891 (37.778)	Prec@5 71.094 (67.634)
Epoch: [71][4830/7045]	Time 0.102 (0.249)	Data 0.007 (0.185)	Loss 2.7597 (2.5763)	Prec@1 35.156 (37.775)	Prec@5 64.453 (67.631)
Epoch: [71][4840/7045]	Time 0.739 (0.249)	Data 0.687 (0.185)	Loss 2.6546 (2.5763)	Prec@1 35.938 (37.776)	Prec@5 64.844 (67.631)
Epoch: [71][4850/7045]	Time 0.229 (0.249)	Data 0.179 (0.185)	Loss 2.6276 (2.5762)	Prec@1 37.500 (37.775)	Prec@5 67.969 (67.632)
Epoch: [71][4860/7045]	Time 0.554 (0.249)	Data 0.503 (0.185)	Loss 2.6595 (2.5763)	Prec@1 41.016 (37.775)	Prec@5 67.578 (67.631)
Epoch: [71][4870/7045]	Time 0.161 (0.249)	Data 0.111 (0.185)	Loss 2.7206 (2.5764)	Prec@1 36.328 (37.773)	Prec@5 67.578 (67.627)
Epoch: [71][4880/7045]	Time 0.392 (0.249)	Data 0.332 (0.185)	Loss 2.7638 (2.5765)	Prec@1 32.812 (37.775)	Prec@5 64.062 (67.624)
Epoch: [71][4890/7045]	Time 0.534 (0.249)	Data 0.484 (0.185)	Loss 2.4135 (2.5762)	Prec@1 41.797 (37.780)	Prec@5 74.219 (67.629)
Epoch: [71][4900/7045]	Time 0.107 (0.249)	Data 0.014 (0.185)	Loss 2.7359 (2.5763)	Prec@1 32.812 (37.778)	Prec@5 62.500 (67.626)
Epoch: [71][4910/7045]	Time 0.515 (0.249)	Data 0.463 (0.185)	Loss 2.5646 (2.5763)	Prec@1 41.406 (37.779)	Prec@5 67.578 (67.625)
Epoch: [71][4920/7045]	Time 0.110 (0.249)	Data 0.057 (0.185)	Loss 2.5952 (2.5763)	Prec@1 39.844 (37.779)	Prec@5 68.359 (67.625)
Epoch: [71][4930/7045]	Time 0.127 (0.249)	Data 0.076 (0.185)	Loss 2.7851 (2.5764)	Prec@1 35.156 (37.778)	Prec@5 60.547 (67.626)
Epoch: [71][4940/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 2.7200 (2.5765)	Prec@1 39.453 (37.775)	Prec@5 67.969 (67.626)
Epoch: [71][4950/7045]	Time 0.196 (0.249)	Data 0.145 (0.185)	Loss 2.5552 (2.5765)	Prec@1 37.109 (37.775)	Prec@5 67.188 (67.625)
Epoch: [71][4960/7045]	Time 0.757 (0.249)	Data 0.701 (0.185)	Loss 2.5637 (2.5765)	Prec@1 36.328 (37.775)	Prec@5 65.234 (67.625)
Epoch: [71][4970/7045]	Time 0.102 (0.249)	Data 0.049 (0.185)	Loss 2.5851 (2.5766)	Prec@1 37.891 (37.772)	Prec@5 67.578 (67.625)
Epoch: [71][4980/7045]	Time 0.572 (0.249)	Data 0.520 (0.185)	Loss 2.6702 (2.5766)	Prec@1 33.594 (37.772)	Prec@5 64.844 (67.624)
Epoch: [71][4990/7045]	Time 0.101 (0.249)	Data 0.012 (0.185)	Loss 2.6944 (2.5766)	Prec@1 35.938 (37.772)	Prec@5 66.016 (67.626)
Epoch: [71][5000/7045]	Time 0.101 (0.249)	Data 0.001 (0.185)	Loss 2.5119 (2.5766)	Prec@1 39.844 (37.773)	Prec@5 69.922 (67.625)
Epoch: [71][5010/7045]	Time 0.234 (0.249)	Data 0.183 (0.185)	Loss 2.6674 (2.5765)	Prec@1 41.016 (37.773)	Prec@5 66.406 (67.625)
Epoch: [71][5020/7045]	Time 0.111 (0.249)	Data 0.009 (0.185)	Loss 2.5486 (2.5764)	Prec@1 37.891 (37.773)	Prec@5 68.359 (67.627)
Epoch: [71][5030/7045]	Time 0.598 (0.249)	Data 0.547 (0.185)	Loss 2.5569 (2.5764)	Prec@1 36.328 (37.773)	Prec@5 65.234 (67.630)
Epoch: [71][5040/7045]	Time 0.102 (0.249)	Data 0.049 (0.185)	Loss 2.5261 (2.5764)	Prec@1 37.500 (37.774)	Prec@5 68.359 (67.629)
Epoch: [71][5050/7045]	Time 0.692 (0.249)	Data 0.633 (0.185)	Loss 2.5583 (2.5764)	Prec@1 36.328 (37.770)	Prec@5 70.312 (67.629)
Epoch: [71][5060/7045]	Time 0.100 (0.249)	Data 0.001 (0.185)	Loss 2.3939 (2.5765)	Prec@1 44.141 (37.767)	Prec@5 71.484 (67.629)
Epoch: [71][5070/7045]	Time 0.651 (0.249)	Data 0.599 (0.185)	Loss 2.4287 (2.5764)	Prec@1 41.016 (37.770)	Prec@5 71.094 (67.631)
Epoch: [71][5080/7045]	Time 0.211 (0.249)	Data 0.159 (0.184)	Loss 2.7140 (2.5765)	Prec@1 35.156 (37.768)	Prec@5 62.891 (67.628)
Epoch: [71][5090/7045]	Time 0.336 (0.249)	Data 0.285 (0.185)	Loss 2.3480 (2.5766)	Prec@1 46.875 (37.767)	Prec@5 72.656 (67.627)
Epoch: [71][5100/7045]	Time 0.261 (0.249)	Data 0.209 (0.184)	Loss 2.6503 (2.5767)	Prec@1 37.500 (37.765)	Prec@5 67.969 (67.624)
Epoch: [71][5110/7045]	Time 0.102 (0.249)	Data 0.008 (0.185)	Loss 2.4124 (2.5767)	Prec@1 43.750 (37.765)	Prec@5 73.047 (67.623)
Epoch: [71][5120/7045]	Time 0.103 (0.249)	Data 0.050 (0.184)	Loss 2.4817 (2.5766)	Prec@1 38.281 (37.768)	Prec@5 70.703 (67.624)
Epoch: [71][5130/7045]	Time 0.105 (0.249)	Data 0.052 (0.184)	Loss 2.6086 (2.5766)	Prec@1 36.328 (37.767)	Prec@5 67.969 (67.623)
Epoch: [71][5140/7045]	Time 0.234 (0.249)	Data 0.183 (0.184)	Loss 2.3396 (2.5767)	Prec@1 40.625 (37.764)	Prec@5 73.047 (67.621)
Epoch: [71][5150/7045]	Time 0.275 (0.249)	Data 0.225 (0.185)	Loss 2.6218 (2.5766)	Prec@1 40.625 (37.765)	Prec@5 63.672 (67.621)
Epoch: [71][5160/7045]	Time 0.397 (0.249)	Data 0.345 (0.185)	Loss 2.4874 (2.5766)	Prec@1 41.797 (37.767)	Prec@5 67.969 (67.622)
Epoch: [71][5170/7045]	Time 0.343 (0.249)	Data 0.292 (0.185)	Loss 2.7512 (2.5765)	Prec@1 35.938 (37.771)	Prec@5 64.844 (67.623)
Epoch: [71][5180/7045]	Time 0.557 (0.249)	Data 0.505 (0.185)	Loss 2.5674 (2.5765)	Prec@1 39.453 (37.775)	Prec@5 67.578 (67.625)
Epoch: [71][5190/7045]	Time 0.255 (0.249)	Data 0.203 (0.185)	Loss 2.5385 (2.5765)	Prec@1 34.375 (37.772)	Prec@5 69.141 (67.623)
Epoch: [71][5200/7045]	Time 0.358 (0.249)	Data 0.305 (0.185)	Loss 2.3225 (2.5765)	Prec@1 41.406 (37.771)	Prec@5 72.656 (67.623)
Epoch: [71][5210/7045]	Time 0.105 (0.249)	Data 0.051 (0.185)	Loss 2.5645 (2.5765)	Prec@1 38.672 (37.773)	Prec@5 67.969 (67.624)
Epoch: [71][5220/7045]	Time 0.487 (0.249)	Data 0.436 (0.185)	Loss 2.7158 (2.5766)	Prec@1 37.891 (37.774)	Prec@5 65.234 (67.622)
Epoch: [71][5230/7045]	Time 0.125 (0.249)	Data 0.075 (0.185)	Loss 2.4307 (2.5765)	Prec@1 35.547 (37.779)	Prec@5 71.484 (67.624)
Epoch: [71][5240/7045]	Time 0.456 (0.249)	Data 0.402 (0.185)	Loss 2.4889 (2.5765)	Prec@1 41.016 (37.776)	Prec@5 66.797 (67.625)
Epoch: [71][5250/7045]	Time 0.166 (0.249)	Data 0.114 (0.185)	Loss 2.5905 (2.5764)	Prec@1 37.109 (37.777)	Prec@5 67.969 (67.627)
Epoch: [71][5260/7045]	Time 0.111 (0.249)	Data 0.001 (0.185)	Loss 2.5272 (2.5764)	Prec@1 37.500 (37.775)	Prec@5 70.312 (67.627)
Epoch: [71][5270/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 2.7147 (2.5763)	Prec@1 34.375 (37.777)	Prec@5 66.016 (67.629)
Epoch: [71][5280/7045]	Time 0.216 (0.249)	Data 0.166 (0.185)	Loss 2.5199 (2.5764)	Prec@1 42.188 (37.774)	Prec@5 71.484 (67.629)
Epoch: [71][5290/7045]	Time 0.234 (0.249)	Data 0.182 (0.185)	Loss 2.4870 (2.5764)	Prec@1 40.234 (37.774)	Prec@5 69.531 (67.629)
Epoch: [71][5300/7045]	Time 0.112 (0.249)	Data 0.001 (0.185)	Loss 2.9257 (2.5765)	Prec@1 33.203 (37.772)	Prec@5 61.328 (67.629)
Epoch: [71][5310/7045]	Time 0.327 (0.249)	Data 0.277 (0.185)	Loss 2.3922 (2.5766)	Prec@1 43.359 (37.773)	Prec@5 70.703 (67.629)
Epoch: [71][5320/7045]	Time 0.187 (0.249)	Data 0.135 (0.185)	Loss 2.7211 (2.5767)	Prec@1 33.594 (37.772)	Prec@5 67.578 (67.627)
Epoch: [71][5330/7045]	Time 0.373 (0.249)	Data 0.321 (0.185)	Loss 2.3981 (2.5766)	Prec@1 38.281 (37.770)	Prec@5 69.141 (67.630)
Epoch: [71][5340/7045]	Time 0.100 (0.249)	Data 0.019 (0.185)	Loss 2.5710 (2.5766)	Prec@1 37.500 (37.771)	Prec@5 68.750 (67.629)
Epoch: [71][5350/7045]	Time 0.115 (0.249)	Data 0.064 (0.185)	Loss 2.7827 (2.5766)	Prec@1 34.766 (37.773)	Prec@5 62.891 (67.629)
Epoch: [71][5360/7045]	Time 0.109 (0.249)	Data 0.056 (0.185)	Loss 2.4656 (2.5765)	Prec@1 38.281 (37.774)	Prec@5 71.094 (67.630)
Epoch: [71][5370/7045]	Time 0.102 (0.249)	Data 0.001 (0.185)	Loss 2.5884 (2.5765)	Prec@1 36.328 (37.775)	Prec@5 68.359 (67.630)
Epoch: [71][5380/7045]	Time 0.109 (0.249)	Data 0.057 (0.184)	Loss 2.4790 (2.5766)	Prec@1 39.844 (37.774)	Prec@5 70.703 (67.629)
Epoch: [71][5390/7045]	Time 0.152 (0.249)	Data 0.100 (0.185)	Loss 2.4939 (2.5766)	Prec@1 35.938 (37.774)	Prec@5 65.625 (67.627)
Epoch: [71][5400/7045]	Time 0.118 (0.249)	Data 0.065 (0.184)	Loss 2.5688 (2.5766)	Prec@1 36.328 (37.775)	Prec@5 68.750 (67.628)
Epoch: [71][5410/7045]	Time 0.414 (0.249)	Data 0.362 (0.185)	Loss 2.3160 (2.5766)	Prec@1 42.969 (37.776)	Prec@5 72.266 (67.629)
Epoch: [71][5420/7045]	Time 0.103 (0.249)	Data 0.001 (0.185)	Loss 2.6593 (2.5767)	Prec@1 33.594 (37.775)	Prec@5 66.406 (67.628)
Epoch: [71][5430/7045]	Time 0.577 (0.249)	Data 0.524 (0.185)	Loss 2.7399 (2.5768)	Prec@1 33.594 (37.774)	Prec@5 65.625 (67.626)
Epoch: [71][5440/7045]	Time 0.111 (0.249)	Data 0.019 (0.184)	Loss 2.3281 (2.5767)	Prec@1 43.750 (37.775)	Prec@5 73.047 (67.628)
Epoch: [71][5450/7045]	Time 0.490 (0.249)	Data 0.439 (0.185)	Loss 2.5021 (2.5767)	Prec@1 39.844 (37.775)	Prec@5 69.531 (67.630)
Epoch: [71][5460/7045]	Time 0.106 (0.249)	Data 0.054 (0.184)	Loss 2.5916 (2.5767)	Prec@1 38.281 (37.775)	Prec@5 64.844 (67.631)
Epoch: [71][5470/7045]	Time 0.139 (0.249)	Data 0.077 (0.185)	Loss 2.6482 (2.5768)	Prec@1 35.156 (37.775)	Prec@5 66.797 (67.628)
Epoch: [71][5480/7045]	Time 0.102 (0.249)	Data 0.016 (0.184)	Loss 2.6064 (2.5768)	Prec@1 39.062 (37.776)	Prec@5 67.578 (67.629)
Epoch: [71][5490/7045]	Time 0.108 (0.249)	Data 0.055 (0.185)	Loss 2.6014 (2.5767)	Prec@1 36.719 (37.776)	Prec@5 65.234 (67.629)
Epoch: [71][5500/7045]	Time 0.257 (0.249)	Data 0.205 (0.184)	Loss 2.5204 (2.5766)	Prec@1 35.938 (37.780)	Prec@5 69.141 (67.631)
Epoch: [71][5510/7045]	Time 0.102 (0.249)	Data 0.016 (0.184)	Loss 2.8591 (2.5766)	Prec@1 35.938 (37.780)	Prec@5 62.891 (67.632)
Epoch: [71][5520/7045]	Time 0.102 (0.249)	Data 0.019 (0.184)	Loss 2.6318 (2.5766)	Prec@1 35.156 (37.777)	Prec@5 69.531 (67.633)
Epoch: [71][5530/7045]	Time 0.198 (0.249)	Data 0.138 (0.184)	Loss 2.5733 (2.5767)	Prec@1 38.281 (37.777)	Prec@5 68.359 (67.632)
Epoch: [71][5540/7045]	Time 0.126 (0.249)	Data 0.075 (0.184)	Loss 2.4887 (2.5765)	Prec@1 40.234 (37.778)	Prec@5 69.141 (67.634)
Epoch: [71][5550/7045]	Time 0.113 (0.249)	Data 0.024 (0.184)	Loss 2.6719 (2.5765)	Prec@1 32.812 (37.779)	Prec@5 63.281 (67.633)
Epoch: [71][5560/7045]	Time 0.103 (0.249)	Data 0.001 (0.184)	Loss 2.3412 (2.5764)	Prec@1 41.406 (37.780)	Prec@5 72.266 (67.633)
Epoch: [71][5570/7045]	Time 0.257 (0.249)	Data 0.206 (0.184)	Loss 2.3332 (2.5763)	Prec@1 46.094 (37.783)	Prec@5 72.266 (67.636)
Epoch: [71][5580/7045]	Time 0.103 (0.249)	Data 0.012 (0.184)	Loss 2.3564 (2.5763)	Prec@1 36.719 (37.784)	Prec@5 71.094 (67.637)
Epoch: [71][5590/7045]	Time 0.197 (0.249)	Data 0.145 (0.184)	Loss 2.4076 (2.5762)	Prec@1 41.797 (37.784)	Prec@5 68.359 (67.636)
Epoch: [71][5600/7045]	Time 0.103 (0.249)	Data 0.001 (0.184)	Loss 2.5183 (2.5762)	Prec@1 39.453 (37.784)	Prec@5 70.312 (67.635)
Epoch: [71][5610/7045]	Time 0.230 (0.249)	Data 0.179 (0.184)	Loss 2.7199 (2.5762)	Prec@1 35.156 (37.783)	Prec@5 63.672 (67.634)
Epoch: [71][5620/7045]	Time 0.566 (0.249)	Data 0.514 (0.184)	Loss 2.6077 (2.5763)	Prec@1 35.156 (37.783)	Prec@5 66.797 (67.632)
Epoch: [71][5630/7045]	Time 0.109 (0.249)	Data 0.050 (0.184)	Loss 2.6854 (2.5763)	Prec@1 37.891 (37.784)	Prec@5 64.844 (67.632)
Epoch: [71][5640/7045]	Time 0.527 (0.249)	Data 0.473 (0.184)	Loss 2.7014 (2.5762)	Prec@1 38.672 (37.787)	Prec@5 63.672 (67.632)
Epoch: [71][5650/7045]	Time 0.537 (0.249)	Data 0.486 (0.184)	Loss 2.9130 (2.5762)	Prec@1 31.250 (37.788)	Prec@5 63.281 (67.632)
Epoch: [71][5660/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 2.5329 (2.5761)	Prec@1 41.016 (37.790)	Prec@5 68.750 (67.633)
Epoch: [71][5670/7045]	Time 0.589 (0.249)	Data 0.538 (0.184)	Loss 2.4988 (2.5762)	Prec@1 36.328 (37.789)	Prec@5 69.141 (67.631)
Epoch: [71][5680/7045]	Time 0.172 (0.249)	Data 0.122 (0.184)	Loss 2.5138 (2.5764)	Prec@1 39.062 (37.785)	Prec@5 64.844 (67.628)
Epoch: [71][5690/7045]	Time 0.224 (0.249)	Data 0.173 (0.184)	Loss 2.4494 (2.5764)	Prec@1 39.844 (37.785)	Prec@5 67.188 (67.627)
Epoch: [71][5700/7045]	Time 0.101 (0.249)	Data 0.018 (0.184)	Loss 2.5514 (2.5763)	Prec@1 35.938 (37.787)	Prec@5 66.406 (67.626)
Epoch: [71][5710/7045]	Time 0.165 (0.249)	Data 0.113 (0.184)	Loss 2.5045 (2.5764)	Prec@1 41.016 (37.787)	Prec@5 71.094 (67.625)
Epoch: [71][5720/7045]	Time 0.131 (0.249)	Data 0.079 (0.184)	Loss 2.7262 (2.5763)	Prec@1 35.547 (37.786)	Prec@5 63.672 (67.626)
Epoch: [71][5730/7045]	Time 0.158 (0.249)	Data 0.107 (0.184)	Loss 2.6499 (2.5763)	Prec@1 36.328 (37.785)	Prec@5 66.797 (67.628)
Epoch: [71][5740/7045]	Time 0.104 (0.249)	Data 0.001 (0.184)	Loss 2.6817 (2.5762)	Prec@1 37.500 (37.789)	Prec@5 65.625 (67.630)
Epoch: [71][5750/7045]	Time 0.109 (0.249)	Data 0.013 (0.184)	Loss 2.4750 (2.5761)	Prec@1 39.453 (37.792)	Prec@5 66.797 (67.630)
Epoch: [71][5760/7045]	Time 0.102 (0.249)	Data 0.006 (0.184)	Loss 2.5468 (2.5762)	Prec@1 36.719 (37.791)	Prec@5 66.016 (67.631)
Epoch: [71][5770/7045]	Time 0.253 (0.249)	Data 0.201 (0.184)	Loss 2.5301 (2.5762)	Prec@1 36.719 (37.792)	Prec@5 67.578 (67.630)
Epoch: [71][5780/7045]	Time 0.184 (0.249)	Data 0.133 (0.184)	Loss 2.3780 (2.5761)	Prec@1 38.281 (37.792)	Prec@5 73.047 (67.632)
Epoch: [71][5790/7045]	Time 0.277 (0.249)	Data 0.226 (0.184)	Loss 2.5416 (2.5761)	Prec@1 42.578 (37.792)	Prec@5 64.453 (67.631)
Epoch: [71][5800/7045]	Time 0.140 (0.249)	Data 0.087 (0.184)	Loss 2.7042 (2.5762)	Prec@1 35.938 (37.792)	Prec@5 65.234 (67.628)
Epoch: [71][5810/7045]	Time 0.299 (0.249)	Data 0.248 (0.184)	Loss 2.7466 (2.5762)	Prec@1 41.406 (37.796)	Prec@5 65.234 (67.630)
Epoch: [71][5820/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 2.5725 (2.5762)	Prec@1 36.328 (37.796)	Prec@5 68.750 (67.629)
Epoch: [71][5830/7045]	Time 0.369 (0.249)	Data 0.309 (0.184)	Loss 2.5941 (2.5762)	Prec@1 34.766 (37.797)	Prec@5 67.578 (67.629)
Epoch: [71][5840/7045]	Time 0.151 (0.249)	Data 0.100 (0.184)	Loss 2.5311 (2.5761)	Prec@1 39.844 (37.801)	Prec@5 68.359 (67.630)
Epoch: [71][5850/7045]	Time 0.332 (0.249)	Data 0.279 (0.184)	Loss 2.5698 (2.5762)	Prec@1 36.328 (37.798)	Prec@5 67.188 (67.626)
Epoch: [71][5860/7045]	Time 0.306 (0.249)	Data 0.254 (0.184)	Loss 2.6271 (2.5762)	Prec@1 37.891 (37.799)	Prec@5 67.578 (67.626)
Epoch: [71][5870/7045]	Time 0.205 (0.249)	Data 0.154 (0.184)	Loss 2.5456 (2.5762)	Prec@1 38.672 (37.798)	Prec@5 72.656 (67.627)
Epoch: [71][5880/7045]	Time 0.411 (0.249)	Data 0.359 (0.184)	Loss 2.5037 (2.5761)	Prec@1 35.938 (37.798)	Prec@5 71.484 (67.628)
Epoch: [71][5890/7045]	Time 0.167 (0.249)	Data 0.107 (0.184)	Loss 2.6610 (2.5762)	Prec@1 35.156 (37.799)	Prec@5 66.797 (67.628)
Epoch: [71][5900/7045]	Time 0.591 (0.249)	Data 0.540 (0.184)	Loss 2.6895 (2.5763)	Prec@1 35.938 (37.798)	Prec@5 67.969 (67.628)
Epoch: [71][5910/7045]	Time 0.125 (0.249)	Data 0.073 (0.184)	Loss 2.5337 (2.5763)	Prec@1 39.844 (37.797)	Prec@5 64.453 (67.625)
Epoch: [71][5920/7045]	Time 0.882 (0.249)	Data 0.829 (0.184)	Loss 2.7084 (2.5763)	Prec@1 35.547 (37.797)	Prec@5 64.062 (67.625)
Epoch: [71][5930/7045]	Time 0.172 (0.249)	Data 0.120 (0.184)	Loss 2.9293 (2.5764)	Prec@1 26.172 (37.795)	Prec@5 61.719 (67.624)
Epoch: [71][5940/7045]	Time 0.476 (0.249)	Data 0.425 (0.184)	Loss 2.4972 (2.5764)	Prec@1 37.500 (37.796)	Prec@5 70.312 (67.626)
Epoch: [71][5950/7045]	Time 0.104 (0.249)	Data 0.050 (0.184)	Loss 2.6008 (2.5763)	Prec@1 37.891 (37.796)	Prec@5 65.625 (67.625)
Epoch: [71][5960/7045]	Time 0.648 (0.249)	Data 0.596 (0.184)	Loss 2.5746 (2.5763)	Prec@1 35.938 (37.795)	Prec@5 68.359 (67.625)
Epoch: [71][5970/7045]	Time 0.102 (0.249)	Data 0.001 (0.184)	Loss 2.3605 (2.5763)	Prec@1 43.750 (37.795)	Prec@5 72.656 (67.629)
Epoch: [71][5980/7045]	Time 0.452 (0.249)	Data 0.400 (0.184)	Loss 2.4772 (2.5763)	Prec@1 42.578 (37.794)	Prec@5 70.703 (67.631)
Epoch: [71][5990/7045]	Time 0.102 (0.249)	Data 0.050 (0.184)	Loss 2.5424 (2.5763)	Prec@1 38.672 (37.793)	Prec@5 66.016 (67.630)
Epoch: [71][6000/7045]	Time 0.277 (0.249)	Data 0.226 (0.184)	Loss 2.6459 (2.5763)	Prec@1 36.328 (37.794)	Prec@5 66.016 (67.629)
Epoch: [71][6010/7045]	Time 0.102 (0.249)	Data 0.007 (0.184)	Loss 2.4362 (2.5763)	Prec@1 37.500 (37.796)	Prec@5 69.922 (67.628)
Epoch: [71][6020/7045]	Time 0.323 (0.249)	Data 0.271 (0.184)	Loss 2.7650 (2.5763)	Prec@1 34.766 (37.795)	Prec@5 67.188 (67.629)
Epoch: [71][6030/7045]	Time 0.206 (0.249)	Data 0.155 (0.184)	Loss 2.5020 (2.5763)	Prec@1 40.625 (37.796)	Prec@5 69.141 (67.627)
Epoch: [71][6040/7045]	Time 0.425 (0.249)	Data 0.374 (0.184)	Loss 2.3872 (2.5762)	Prec@1 46.484 (37.797)	Prec@5 68.359 (67.630)
Epoch: [71][6050/7045]	Time 0.437 (0.249)	Data 0.385 (0.184)	Loss 2.4820 (2.5762)	Prec@1 36.328 (37.795)	Prec@5 68.359 (67.630)
Epoch: [71][6060/7045]	Time 0.198 (0.249)	Data 0.135 (0.184)	Loss 2.6015 (2.5763)	Prec@1 41.016 (37.796)	Prec@5 69.141 (67.630)
Epoch: [71][6070/7045]	Time 0.551 (0.249)	Data 0.494 (0.184)	Loss 2.5029 (2.5764)	Prec@1 40.234 (37.796)	Prec@5 70.312 (67.629)
Epoch: [71][6080/7045]	Time 0.231 (0.249)	Data 0.179 (0.184)	Loss 2.3786 (2.5763)	Prec@1 40.234 (37.798)	Prec@5 72.656 (67.630)
Epoch: [71][6090/7045]	Time 0.565 (0.249)	Data 0.512 (0.184)	Loss 2.5251 (2.5763)	Prec@1 40.234 (37.798)	Prec@5 68.750 (67.631)
Epoch: [71][6100/7045]	Time 0.101 (0.249)	Data 0.012 (0.184)	Loss 2.6043 (2.5763)	Prec@1 34.375 (37.797)	Prec@5 67.969 (67.630)
Epoch: [71][6110/7045]	Time 0.564 (0.249)	Data 0.505 (0.184)	Loss 2.3828 (2.5763)	Prec@1 41.797 (37.799)	Prec@5 71.875 (67.631)
Epoch: [71][6120/7045]	Time 0.120 (0.249)	Data 0.059 (0.184)	Loss 2.4579 (2.5763)	Prec@1 43.359 (37.798)	Prec@5 73.047 (67.632)
Epoch: [71][6130/7045]	Time 0.583 (0.249)	Data 0.532 (0.184)	Loss 2.5440 (2.5763)	Prec@1 36.328 (37.798)	Prec@5 67.188 (67.632)
Epoch: [71][6140/7045]	Time 0.103 (0.249)	Data 0.011 (0.184)	Loss 2.5000 (2.5763)	Prec@1 40.234 (37.799)	Prec@5 66.406 (67.630)
Epoch: [71][6150/7045]	Time 0.572 (0.249)	Data 0.519 (0.184)	Loss 2.4102 (2.5763)	Prec@1 42.969 (37.800)	Prec@5 68.359 (67.629)
Epoch: [71][6160/7045]	Time 0.103 (0.249)	Data 0.011 (0.184)	Loss 2.4606 (2.5763)	Prec@1 39.062 (37.800)	Prec@5 69.531 (67.629)
Epoch: [71][6170/7045]	Time 0.399 (0.249)	Data 0.348 (0.184)	Loss 2.6971 (2.5763)	Prec@1 34.766 (37.798)	Prec@5 67.578 (67.628)
Epoch: [71][6180/7045]	Time 0.156 (0.249)	Data 0.104 (0.184)	Loss 2.6445 (2.5763)	Prec@1 35.547 (37.798)	Prec@5 68.750 (67.626)
Epoch: [71][6190/7045]	Time 0.363 (0.249)	Data 0.312 (0.184)	Loss 2.5375 (2.5763)	Prec@1 39.453 (37.797)	Prec@5 68.750 (67.628)
Epoch: [71][6200/7045]	Time 0.461 (0.249)	Data 0.409 (0.184)	Loss 2.7381 (2.5764)	Prec@1 33.203 (37.796)	Prec@5 66.016 (67.625)
Epoch: [71][6210/7045]	Time 0.450 (0.249)	Data 0.397 (0.184)	Loss 2.7742 (2.5765)	Prec@1 34.766 (37.794)	Prec@5 61.719 (67.624)
Epoch: [71][6220/7045]	Time 0.345 (0.249)	Data 0.286 (0.184)	Loss 2.6191 (2.5765)	Prec@1 35.938 (37.793)	Prec@5 66.406 (67.623)
Epoch: [71][6230/7045]	Time 0.355 (0.249)	Data 0.304 (0.184)	Loss 2.4668 (2.5764)	Prec@1 40.234 (37.792)	Prec@5 69.531 (67.623)
Epoch: [71][6240/7045]	Time 0.295 (0.249)	Data 0.244 (0.184)	Loss 2.7148 (2.5764)	Prec@1 35.156 (37.792)	Prec@5 66.797 (67.623)
Epoch: [71][6250/7045]	Time 0.165 (0.249)	Data 0.114 (0.184)	Loss 2.4384 (2.5764)	Prec@1 43.750 (37.793)	Prec@5 71.875 (67.625)
Epoch: [71][6260/7045]	Time 0.276 (0.249)	Data 0.224 (0.184)	Loss 2.4269 (2.5762)	Prec@1 38.672 (37.796)	Prec@5 71.875 (67.628)
Epoch: [71][6270/7045]	Time 0.143 (0.249)	Data 0.092 (0.184)	Loss 2.4585 (2.5763)	Prec@1 35.938 (37.794)	Prec@5 73.828 (67.628)
Epoch: [71][6280/7045]	Time 0.173 (0.249)	Data 0.121 (0.184)	Loss 2.5107 (2.5762)	Prec@1 38.281 (37.797)	Prec@5 69.531 (67.629)
Epoch: [71][6290/7045]	Time 0.286 (0.249)	Data 0.235 (0.184)	Loss 2.5440 (2.5763)	Prec@1 37.891 (37.795)	Prec@5 69.531 (67.630)
Epoch: [71][6300/7045]	Time 0.107 (0.249)	Data 0.054 (0.184)	Loss 2.5247 (2.5763)	Prec@1 36.328 (37.796)	Prec@5 69.531 (67.629)
Epoch: [71][6310/7045]	Time 0.442 (0.249)	Data 0.380 (0.184)	Loss 2.6856 (2.5763)	Prec@1 32.031 (37.795)	Prec@5 62.109 (67.627)
Epoch: [71][6320/7045]	Time 0.246 (0.249)	Data 0.195 (0.184)	Loss 2.6002 (2.5763)	Prec@1 34.375 (37.796)	Prec@5 67.188 (67.627)
Epoch: [71][6330/7045]	Time 0.417 (0.249)	Data 0.358 (0.184)	Loss 2.3733 (2.5762)	Prec@1 41.016 (37.798)	Prec@5 71.094 (67.629)
Epoch: [71][6340/7045]	Time 0.179 (0.248)	Data 0.128 (0.184)	Loss 2.3565 (2.5763)	Prec@1 45.312 (37.798)	Prec@5 71.875 (67.628)
Epoch: [71][6350/7045]	Time 0.430 (0.249)	Data 0.379 (0.184)	Loss 2.6123 (2.5763)	Prec@1 33.203 (37.798)	Prec@5 67.969 (67.628)
Epoch: [71][6360/7045]	Time 0.101 (0.249)	Data 0.001 (0.184)	Loss 2.7423 (2.5763)	Prec@1 31.250 (37.796)	Prec@5 62.500 (67.628)
Epoch: [71][6370/7045]	Time 0.299 (0.248)	Data 0.248 (0.184)	Loss 2.5816 (2.5763)	Prec@1 39.062 (37.796)	Prec@5 70.312 (67.628)
Epoch: [71][6380/7045]	Time 0.134 (0.248)	Data 0.082 (0.184)	Loss 2.6251 (2.5763)	Prec@1 36.719 (37.795)	Prec@5 66.406 (67.628)
Epoch: [71][6390/7045]	Time 0.211 (0.248)	Data 0.161 (0.184)	Loss 2.4162 (2.5763)	Prec@1 38.672 (37.797)	Prec@5 71.094 (67.629)
Epoch: [71][6400/7045]	Time 0.409 (0.249)	Data 0.352 (0.184)	Loss 2.4906 (2.5763)	Prec@1 39.844 (37.796)	Prec@5 68.750 (67.629)
Epoch: [71][6410/7045]	Time 0.111 (0.248)	Data 0.054 (0.184)	Loss 2.6201 (2.5763)	Prec@1 40.625 (37.797)	Prec@5 66.016 (67.629)
Epoch: [71][6420/7045]	Time 0.269 (0.248)	Data 0.217 (0.184)	Loss 2.3521 (2.5762)	Prec@1 41.406 (37.799)	Prec@5 73.438 (67.630)
Epoch: [71][6430/7045]	Time 0.188 (0.248)	Data 0.136 (0.184)	Loss 2.5744 (2.5762)	Prec@1 39.453 (37.799)	Prec@5 68.359 (67.631)
Epoch: [71][6440/7045]	Time 0.367 (0.249)	Data 0.306 (0.184)	Loss 2.5921 (2.5763)	Prec@1 34.766 (37.799)	Prec@5 68.750 (67.630)
Epoch: [71][6450/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 2.6687 (2.5762)	Prec@1 35.156 (37.800)	Prec@5 67.578 (67.632)
Epoch: [71][6460/7045]	Time 0.138 (0.248)	Data 0.084 (0.184)	Loss 2.7721 (2.5761)	Prec@1 35.547 (37.802)	Prec@5 66.406 (67.634)
Epoch: [71][6470/7045]	Time 0.146 (0.248)	Data 0.095 (0.184)	Loss 2.5521 (2.5762)	Prec@1 38.672 (37.801)	Prec@5 70.312 (67.633)
Epoch: [71][6480/7045]	Time 0.201 (0.249)	Data 0.141 (0.184)	Loss 2.4062 (2.5761)	Prec@1 42.578 (37.801)	Prec@5 69.922 (67.633)
Epoch: [71][6490/7045]	Time 0.361 (0.249)	Data 0.309 (0.184)	Loss 2.3479 (2.5760)	Prec@1 42.969 (37.804)	Prec@5 75.000 (67.636)
Epoch: [71][6500/7045]	Time 0.104 (0.248)	Data 0.053 (0.184)	Loss 2.6820 (2.5760)	Prec@1 33.984 (37.803)	Prec@5 65.234 (67.636)
Epoch: [71][6510/7045]	Time 0.281 (0.249)	Data 0.231 (0.184)	Loss 2.5540 (2.5758)	Prec@1 37.500 (37.805)	Prec@5 68.750 (67.639)
Epoch: [71][6520/7045]	Time 0.103 (0.248)	Data 0.001 (0.184)	Loss 2.4966 (2.5758)	Prec@1 39.062 (37.807)	Prec@5 68.750 (67.641)
Epoch: [71][6530/7045]	Time 0.232 (0.249)	Data 0.182 (0.184)	Loss 2.5643 (2.5759)	Prec@1 35.547 (37.803)	Prec@5 68.359 (67.640)
Epoch: [71][6540/7045]	Time 0.430 (0.249)	Data 0.379 (0.184)	Loss 2.5811 (2.5759)	Prec@1 39.062 (37.801)	Prec@5 73.047 (67.639)
Epoch: [71][6550/7045]	Time 0.100 (0.249)	Data 0.001 (0.184)	Loss 2.4321 (2.5759)	Prec@1 43.359 (37.800)	Prec@5 69.922 (67.641)
Epoch: [71][6560/7045]	Time 0.490 (0.249)	Data 0.437 (0.184)	Loss 2.7057 (2.5759)	Prec@1 38.281 (37.799)	Prec@5 67.969 (67.640)
Epoch: [71][6570/7045]	Time 0.254 (0.249)	Data 0.201 (0.184)	Loss 2.5904 (2.5761)	Prec@1 38.281 (37.798)	Prec@5 67.578 (67.637)
Epoch: [71][6580/7045]	Time 0.352 (0.249)	Data 0.301 (0.184)	Loss 2.4946 (2.5761)	Prec@1 41.016 (37.799)	Prec@5 69.141 (67.637)
Epoch: [71][6590/7045]	Time 0.174 (0.248)	Data 0.124 (0.184)	Loss 2.6378 (2.5760)	Prec@1 36.328 (37.799)	Prec@5 62.500 (67.638)
Epoch: [71][6600/7045]	Time 0.220 (0.248)	Data 0.168 (0.184)	Loss 2.5014 (2.5759)	Prec@1 36.719 (37.800)	Prec@5 70.312 (67.641)
Epoch: [71][6610/7045]	Time 0.102 (0.248)	Data 0.007 (0.184)	Loss 2.5119 (2.5758)	Prec@1 38.672 (37.800)	Prec@5 70.312 (67.642)
Epoch: [71][6620/7045]	Time 0.101 (0.248)	Data 0.001 (0.184)	Loss 2.4997 (2.5758)	Prec@1 42.578 (37.802)	Prec@5 67.578 (67.641)
Epoch: [71][6630/7045]	Time 0.104 (0.248)	Data 0.052 (0.184)	Loss 2.5965 (2.5758)	Prec@1 37.109 (37.801)	Prec@5 68.359 (67.642)
Epoch: [71][6640/7045]	Time 0.376 (0.249)	Data 0.323 (0.185)	Loss 2.7182 (2.5758)	Prec@1 34.375 (37.800)	Prec@5 64.453 (67.643)
Epoch: [71][6650/7045]	Time 0.136 (0.248)	Data 0.085 (0.184)	Loss 2.6756 (2.5759)	Prec@1 35.156 (37.797)	Prec@5 65.625 (67.643)
Epoch: [71][6660/7045]	Time 0.459 (0.249)	Data 0.408 (0.185)	Loss 2.2218 (2.5759)	Prec@1 44.531 (37.796)	Prec@5 76.953 (67.642)
Epoch: [71][6670/7045]	Time 0.324 (0.248)	Data 0.273 (0.185)	Loss 2.7574 (2.5760)	Prec@1 34.375 (37.795)	Prec@5 66.406 (67.642)
Epoch: [71][6680/7045]	Time 0.330 (0.248)	Data 0.280 (0.185)	Loss 2.3841 (2.5759)	Prec@1 43.359 (37.797)	Prec@5 74.609 (67.643)
Epoch: [71][6690/7045]	Time 0.203 (0.248)	Data 0.153 (0.185)	Loss 2.4673 (2.5759)	Prec@1 42.188 (37.797)	Prec@5 68.359 (67.643)
Epoch: [71][6700/7045]	Time 0.383 (0.248)	Data 0.324 (0.185)	Loss 2.5472 (2.5760)	Prec@1 37.500 (37.796)	Prec@5 65.625 (67.643)
Epoch: [71][6710/7045]	Time 0.371 (0.248)	Data 0.321 (0.185)	Loss 2.6392 (2.5759)	Prec@1 37.891 (37.797)	Prec@5 67.578 (67.643)
Epoch: [71][6720/7045]	Time 0.304 (0.248)	Data 0.245 (0.185)	Loss 2.3719 (2.5759)	Prec@1 43.359 (37.798)	Prec@5 70.312 (67.643)
Epoch: [71][6730/7045]	Time 0.382 (0.248)	Data 0.330 (0.185)	Loss 2.5074 (2.5759)	Prec@1 35.156 (37.798)	Prec@5 69.141 (67.645)
Epoch: [71][6740/7045]	Time 0.281 (0.248)	Data 0.231 (0.185)	Loss 2.5713 (2.5759)	Prec@1 42.578 (37.800)	Prec@5 68.359 (67.644)
Epoch: [71][6750/7045]	Time 0.275 (0.248)	Data 0.222 (0.185)	Loss 2.4755 (2.5759)	Prec@1 37.109 (37.799)	Prec@5 71.094 (67.646)
Epoch: [71][6760/7045]	Time 0.631 (0.248)	Data 0.579 (0.185)	Loss 2.3904 (2.5759)	Prec@1 39.844 (37.799)	Prec@5 71.875 (67.645)
Epoch: [71][6770/7045]	Time 0.200 (0.248)	Data 0.146 (0.185)	Loss 2.6974 (2.5760)	Prec@1 37.891 (37.798)	Prec@5 64.844 (67.643)
Epoch: [71][6780/7045]	Time 0.419 (0.248)	Data 0.368 (0.185)	Loss 2.6536 (2.5760)	Prec@1 35.547 (37.797)	Prec@5 69.141 (67.643)
Epoch: [71][6790/7045]	Time 0.356 (0.248)	Data 0.303 (0.185)	Loss 2.6568 (2.5761)	Prec@1 37.500 (37.797)	Prec@5 66.797 (67.642)
Epoch: [71][6800/7045]	Time 0.380 (0.248)	Data 0.330 (0.185)	Loss 2.4486 (2.5761)	Prec@1 36.328 (37.797)	Prec@5 70.312 (67.642)
Epoch: [71][6810/7045]	Time 0.420 (0.248)	Data 0.369 (0.185)	Loss 2.6955 (2.5761)	Prec@1 32.422 (37.797)	Prec@5 64.844 (67.641)
Epoch: [71][6820/7045]	Time 0.249 (0.248)	Data 0.197 (0.185)	Loss 2.7523 (2.5761)	Prec@1 34.375 (37.796)	Prec@5 66.406 (67.641)
Epoch: [71][6830/7045]	Time 0.541 (0.248)	Data 0.483 (0.185)	Loss 2.7034 (2.5761)	Prec@1 36.719 (37.798)	Prec@5 61.719 (67.641)
Epoch: [71][6840/7045]	Time 0.211 (0.248)	Data 0.160 (0.185)	Loss 2.6088 (2.5761)	Prec@1 37.500 (37.798)	Prec@5 66.797 (67.642)
Epoch: [71][6850/7045]	Time 0.311 (0.248)	Data 0.259 (0.185)	Loss 2.6799 (2.5761)	Prec@1 35.547 (37.799)	Prec@5 64.062 (67.642)
Epoch: [71][6860/7045]	Time 0.464 (0.248)	Data 0.413 (0.185)	Loss 2.6086 (2.5760)	Prec@1 39.062 (37.802)	Prec@5 69.141 (67.644)
Epoch: [71][6870/7045]	Time 0.259 (0.248)	Data 0.206 (0.185)	Loss 2.6633 (2.5760)	Prec@1 37.500 (37.803)	Prec@5 64.844 (67.646)
Epoch: [71][6880/7045]	Time 0.102 (0.248)	Data 0.001 (0.185)	Loss 2.6611 (2.5760)	Prec@1 34.375 (37.803)	Prec@5 64.453 (67.646)
Epoch: [71][6890/7045]	Time 0.108 (0.248)	Data 0.057 (0.185)	Loss 2.7157 (2.5761)	Prec@1 34.766 (37.801)	Prec@5 66.016 (67.643)
Epoch: [71][6900/7045]	Time 0.108 (0.248)	Data 0.001 (0.185)	Loss 2.5432 (2.5761)	Prec@1 39.062 (37.799)	Prec@5 68.750 (67.644)
Epoch: [71][6910/7045]	Time 0.233 (0.248)	Data 0.181 (0.185)	Loss 2.6077 (2.5761)	Prec@1 35.547 (37.798)	Prec@5 69.922 (67.644)
Epoch: [71][6920/7045]	Time 0.145 (0.248)	Data 0.093 (0.185)	Loss 2.5359 (2.5761)	Prec@1 38.672 (37.798)	Prec@5 69.531 (67.645)
Epoch: [71][6930/7045]	Time 0.552 (0.248)	Data 0.493 (0.185)	Loss 2.4142 (2.5759)	Prec@1 42.969 (37.800)	Prec@5 72.266 (67.647)
Epoch: [71][6940/7045]	Time 0.110 (0.248)	Data 0.057 (0.185)	Loss 2.4721 (2.5760)	Prec@1 41.406 (37.800)	Prec@5 70.703 (67.645)
Epoch: [71][6950/7045]	Time 0.102 (0.248)	Data 0.048 (0.185)	Loss 2.3844 (2.5761)	Prec@1 36.719 (37.798)	Prec@5 70.312 (67.643)
Epoch: [71][6960/7045]	Time 0.624 (0.248)	Data 0.571 (0.185)	Loss 2.6539 (2.5761)	Prec@1 35.156 (37.799)	Prec@5 64.062 (67.642)
Epoch: [71][6970/7045]	Time 0.120 (0.248)	Data 0.067 (0.185)	Loss 2.5596 (2.5761)	Prec@1 43.750 (37.800)	Prec@5 69.531 (67.643)
Epoch: [71][6980/7045]	Time 0.639 (0.248)	Data 0.588 (0.185)	Loss 2.4632 (2.5761)	Prec@1 38.672 (37.800)	Prec@5 71.484 (67.643)
Epoch: [71][6990/7045]	Time 0.105 (0.248)	Data 0.001 (0.185)	Loss 2.6722 (2.5763)	Prec@1 37.891 (37.800)	Prec@5 65.625 (67.640)
Epoch: [71][7000/7045]	Time 0.284 (0.248)	Data 0.234 (0.185)	Loss 2.5174 (2.5762)	Prec@1 40.625 (37.800)	Prec@5 68.359 (67.641)
Epoch: [71][7010/7045]	Time 0.124 (0.248)	Data 0.073 (0.185)	Loss 2.7973 (2.5763)	Prec@1 37.891 (37.800)	Prec@5 64.062 (67.640)
Epoch: [71][7020/7045]	Time 0.191 (0.248)	Data 0.140 (0.185)	Loss 2.4322 (2.5763)	Prec@1 37.891 (37.799)	Prec@5 74.219 (67.641)
Epoch: [71][7030/7045]	Time 0.103 (0.248)	Data 0.001 (0.185)	Loss 2.4777 (2.5762)	Prec@1 38.672 (37.800)	Prec@5 69.922 (67.644)
Epoch: [71][7040/7045]	Time 0.110 (0.248)	Data 0.015 (0.185)	Loss 2.6120 (2.5761)	Prec@1 35.547 (37.799)	Prec@5 64.062 (67.643)
Test: [0/143]	Time 1.533 (1.533)	Loss 2.2231 (2.2231)	Prec@1 46.484 (46.484)	Prec@5 76.562 (76.562)
Test: [10/143]	Time 0.180 (0.272)	Loss 1.6779 (2.0344)	Prec@1 62.500 (49.716)	Prec@5 82.812 (78.516)
Test: [20/143]	Time 0.185 (0.230)	Loss 2.2095 (2.0292)	Prec@1 44.922 (48.084)	Prec@5 78.125 (78.925)
Test: [30/143]	Time 0.575 (0.225)	Loss 2.1918 (2.0403)	Prec@1 47.266 (48.349)	Prec@5 72.266 (78.138)
Test: [40/143]	Time 0.066 (0.206)	Loss 2.7915 (2.0752)	Prec@1 22.266 (47.351)	Prec@5 66.406 (77.468)
Test: [50/143]	Time 0.049 (0.207)	Loss 1.9448 (2.1290)	Prec@1 45.703 (45.650)	Prec@5 82.422 (76.823)
Test: [60/143]	Time 0.079 (0.200)	Loss 2.3491 (2.1127)	Prec@1 38.672 (46.055)	Prec@5 76.172 (77.152)
Test: [70/143]	Time 0.392 (0.199)	Loss 2.9802 (2.1068)	Prec@1 25.000 (46.182)	Prec@5 59.766 (77.316)
Test: [80/143]	Time 0.049 (0.196)	Loss 2.0492 (2.1004)	Prec@1 48.047 (46.287)	Prec@5 78.906 (77.517)
Test: [90/143]	Time 0.293 (0.194)	Loss 1.7907 (2.0968)	Prec@1 55.469 (46.386)	Prec@5 85.156 (77.606)
Test: [100/143]	Time 0.062 (0.194)	Loss 1.9159 (2.0935)	Prec@1 54.297 (46.430)	Prec@5 85.938 (77.777)
Test: [110/143]	Time 0.048 (0.191)	Loss 1.9912 (2.0915)	Prec@1 50.391 (46.625)	Prec@5 77.344 (77.812)
Test: [120/143]	Time 0.163 (0.192)	Loss 1.7580 (2.0817)	Prec@1 55.859 (46.982)	Prec@5 83.984 (77.944)
Test: [130/143]	Time 0.048 (0.191)	Loss 1.5765 (2.0890)	Prec@1 66.016 (46.863)	Prec@5 82.031 (77.716)
Test: [140/143]	Time 0.512 (0.192)	Loss 3.1778 (2.1115)	Prec@1 21.094 (46.326)	Prec@5 59.375 (77.252)
 * Prec@1 46.323 Prec@5 77.249
Epoch: [72][0/7045]	Time 2.516 (2.516)	Data 2.451 (2.451)	Loss 2.6555 (2.6555)	Prec@1 34.375 (34.375)	Prec@5 64.062 (64.062)
Epoch: [72][10/7045]	Time 0.103 (0.456)	Data 0.010 (0.380)	Loss 2.9277 (2.6298)	Prec@1 31.250 (37.074)	Prec@5 61.719 (65.625)
Epoch: [72][20/7045]	Time 0.728 (0.374)	Data 0.678 (0.303)	Loss 2.5383 (2.6425)	Prec@1 40.234 (36.514)	Prec@5 66.797 (65.737)
Epoch: [72][30/7045]	Time 0.252 (0.337)	Data 0.193 (0.269)	Loss 2.6503 (2.6049)	Prec@1 36.328 (37.198)	Prec@5 65.234 (66.570)
Epoch: [72][40/7045]	Time 0.101 (0.320)	Data 0.001 (0.252)	Loss 2.5302 (2.5954)	Prec@1 36.328 (37.729)	Prec@5 68.750 (66.778)
Epoch: [72][50/7045]	Time 0.478 (0.314)	Data 0.427 (0.246)	Loss 2.5366 (2.5943)	Prec@1 37.500 (37.814)	Prec@5 70.312 (66.866)
Epoch: [72][60/7045]	Time 0.166 (0.302)	Data 0.116 (0.237)	Loss 2.4640 (2.5966)	Prec@1 39.453 (37.782)	Prec@5 67.969 (66.925)
Epoch: [72][70/7045]	Time 0.107 (0.297)	Data 0.055 (0.233)	Loss 2.5518 (2.5896)	Prec@1 39.062 (37.830)	Prec@5 67.578 (66.945)
Epoch: [72][80/7045]	Time 0.709 (0.299)	Data 0.657 (0.236)	Loss 2.5544 (2.5857)	Prec@1 38.672 (37.929)	Prec@5 67.188 (67.052)
Epoch: [72][90/7045]	Time 0.255 (0.291)	Data 0.204 (0.228)	Loss 2.3870 (2.5810)	Prec@1 41.016 (38.019)	Prec@5 69.531 (67.218)
Epoch: [72][100/7045]	Time 0.211 (0.288)	Data 0.160 (0.225)	Loss 2.4976 (2.5842)	Prec@1 40.234 (37.933)	Prec@5 64.453 (67.110)
Epoch: [72][110/7045]	Time 0.505 (0.287)	Data 0.454 (0.225)	Loss 2.4446 (2.5743)	Prec@1 37.500 (38.024)	Prec@5 72.656 (67.448)
Epoch: [72][120/7045]	Time 0.109 (0.281)	Data 0.057 (0.219)	Loss 2.3846 (2.5760)	Prec@1 41.406 (37.958)	Prec@5 71.094 (67.472)
Epoch: [72][130/7045]	Time 0.329 (0.280)	Data 0.278 (0.219)	Loss 2.6671 (2.5801)	Prec@1 41.016 (37.923)	Prec@5 67.969 (67.456)
Epoch: [72][140/7045]	Time 0.163 (0.278)	Data 0.111 (0.217)	Loss 2.4737 (2.5809)	Prec@1 35.547 (37.943)	Prec@5 71.484 (67.473)
Epoch: [72][150/7045]	Time 0.102 (0.277)	Data 0.001 (0.216)	Loss 2.4528 (2.5802)	Prec@1 39.844 (37.984)	Prec@5 69.141 (67.490)
Epoch: [72][160/7045]	Time 0.482 (0.276)	Data 0.424 (0.215)	Loss 2.6340 (2.5787)	Prec@1 39.844 (37.978)	Prec@5 69.531 (67.508)
Epoch: [72][170/7045]	Time 0.106 (0.274)	Data 0.054 (0.212)	Loss 2.4979 (2.5749)	Prec@1 37.891 (38.055)	Prec@5 69.141 (67.569)
Epoch: [72][180/7045]	Time 0.358 (0.273)	Data 0.307 (0.212)	Loss 2.7207 (2.5724)	Prec@1 32.031 (38.102)	Prec@5 63.672 (67.613)
Epoch: [72][190/7045]	Time 0.102 (0.271)	Data 0.050 (0.211)	Loss 2.4658 (2.5706)	Prec@1 40.625 (38.103)	Prec@5 71.484 (67.693)
Epoch: [72][200/7045]	Time 0.521 (0.272)	Data 0.470 (0.212)	Loss 2.6399 (2.5683)	Prec@1 44.531 (38.188)	Prec@5 68.359 (67.772)
Epoch: [72][210/7045]	Time 0.266 (0.271)	Data 0.214 (0.211)	Loss 2.7522 (2.5664)	Prec@1 33.203 (38.211)	Prec@5 64.453 (67.797)
Epoch: [72][220/7045]	Time 0.516 (0.271)	Data 0.464 (0.210)	Loss 2.4637 (2.5652)	Prec@1 39.844 (38.216)	Prec@5 69.531 (67.819)
Epoch: [72][230/7045]	Time 0.299 (0.270)	Data 0.250 (0.209)	Loss 2.5269 (2.5640)	Prec@1 42.578 (38.231)	Prec@5 69.922 (67.867)
Epoch: [72][240/7045]	Time 0.459 (0.270)	Data 0.408 (0.209)	Loss 2.4917 (2.5639)	Prec@1 39.453 (38.241)	Prec@5 70.312 (67.837)
Epoch: [72][250/7045]	Time 0.101 (0.269)	Data 0.001 (0.208)	Loss 2.7132 (2.5635)	Prec@1 33.594 (38.238)	Prec@5 63.672 (67.857)
Epoch: [72][260/7045]	Time 0.322 (0.268)	Data 0.270 (0.207)	Loss 2.3547 (2.5632)	Prec@1 41.797 (38.238)	Prec@5 71.484 (67.880)
Epoch: [72][270/7045]	Time 0.105 (0.268)	Data 0.053 (0.207)	Loss 2.7196 (2.5640)	Prec@1 36.328 (38.229)	Prec@5 64.844 (67.861)
Epoch: [72][280/7045]	Time 0.102 (0.267)	Data 0.001 (0.207)	Loss 2.6211 (2.5669)	Prec@1 37.500 (38.209)	Prec@5 69.922 (67.799)
Epoch: [72][290/7045]	Time 0.110 (0.268)	Data 0.021 (0.207)	Loss 2.3545 (2.5677)	Prec@1 42.969 (38.197)	Prec@5 70.703 (67.753)
Epoch: [72][300/7045]	Time 0.606 (0.268)	Data 0.555 (0.208)	Loss 2.5974 (2.5677)	Prec@1 38.672 (38.185)	Prec@5 67.188 (67.738)
Epoch: [72][310/7045]	Time 0.119 (0.267)	Data 0.067 (0.206)	Loss 2.4885 (2.5681)	Prec@1 39.453 (38.182)	Prec@5 69.141 (67.723)
Epoch: [72][320/7045]	Time 0.415 (0.267)	Data 0.365 (0.206)	Loss 2.3390 (2.5693)	Prec@1 41.406 (38.139)	Prec@5 74.609 (67.725)
Epoch: [72][330/7045]	Time 0.102 (0.267)	Data 0.001 (0.206)	Loss 2.7288 (2.5680)	Prec@1 37.500 (38.169)	Prec@5 62.500 (67.724)
Epoch: [72][340/7045]	Time 0.100 (0.266)	Data 0.048 (0.204)	Loss 2.6385 (2.5675)	Prec@1 37.500 (38.170)	Prec@5 68.750 (67.725)
Epoch: [72][350/7045]	Time 0.589 (0.266)	Data 0.537 (0.205)	Loss 2.5890 (2.5679)	Prec@1 33.984 (38.138)	Prec@5 67.969 (67.719)
Epoch: [72][360/7045]	Time 0.102 (0.266)	Data 0.001 (0.204)	Loss 2.5707 (2.5691)	Prec@1 38.672 (38.127)	Prec@5 69.141 (67.709)
Epoch: [72][370/7045]	Time 0.511 (0.266)	Data 0.450 (0.205)	Loss 2.7810 (2.5710)	Prec@1 35.156 (38.084)	Prec@5 62.109 (67.668)
Epoch: [72][380/7045]	Time 0.174 (0.265)	Data 0.122 (0.204)	Loss 2.5760 (2.5694)	Prec@1 37.109 (38.091)	Prec@5 68.359 (67.698)
Epoch: [72][390/7045]	Time 0.101 (0.265)	Data 0.049 (0.204)	Loss 2.3210 (2.5691)	Prec@1 43.359 (38.109)	Prec@5 69.531 (67.699)
Epoch: [72][400/7045]	Time 0.108 (0.265)	Data 0.056 (0.204)	Loss 2.5158 (2.5691)	Prec@1 39.453 (38.115)	Prec@5 65.234 (67.698)
Epoch: [72][410/7045]	Time 0.460 (0.266)	Data 0.408 (0.204)	Loss 2.4148 (2.5676)	Prec@1 43.750 (38.143)	Prec@5 71.875 (67.724)
Epoch: [72][420/7045]	Time 0.115 (0.265)	Data 0.064 (0.204)	Loss 2.6260 (2.5673)	Prec@1 39.062 (38.182)	Prec@5 65.625 (67.728)
Epoch: [72][430/7045]	Time 0.101 (0.265)	Data 0.001 (0.204)	Loss 2.4236 (2.5676)	Prec@1 41.797 (38.145)	Prec@5 69.141 (67.728)
Epoch: [72][440/7045]	Time 0.280 (0.265)	Data 0.230 (0.204)	Loss 2.5156 (2.5675)	Prec@1 35.547 (38.147)	Prec@5 67.969 (67.733)
Epoch: [72][450/7045]	Time 0.102 (0.265)	Data 0.001 (0.204)	Loss 2.5511 (2.5681)	Prec@1 34.766 (38.107)	Prec@5 65.234 (67.727)
Epoch: [72][460/7045]	Time 0.114 (0.265)	Data 0.062 (0.203)	Loss 2.6680 (2.5674)	Prec@1 35.547 (38.125)	Prec@5 66.797 (67.754)
Epoch: [72][470/7045]	Time 0.149 (0.265)	Data 0.096 (0.203)	Loss 2.5559 (2.5687)	Prec@1 41.016 (38.088)	Prec@5 67.188 (67.703)
Epoch: [72][480/7045]	Time 0.130 (0.265)	Data 0.080 (0.203)	Loss 2.5631 (2.5689)	Prec@1 39.844 (38.070)	Prec@5 68.359 (67.712)
Epoch: [72][490/7045]	Time 0.261 (0.265)	Data 0.210 (0.203)	Loss 2.7852 (2.5699)	Prec@1 36.328 (38.030)	Prec@5 63.672 (67.700)
Epoch: [72][500/7045]	Time 0.426 (0.265)	Data 0.376 (0.203)	Loss 2.3671 (2.5694)	Prec@1 39.844 (38.054)	Prec@5 75.781 (67.735)
Epoch: [72][510/7045]	Time 0.260 (0.265)	Data 0.209 (0.203)	Loss 2.7291 (2.5692)	Prec@1 34.375 (38.055)	Prec@5 64.453 (67.728)
Epoch: [72][520/7045]	Time 0.106 (0.265)	Data 0.054 (0.203)	Loss 2.3666 (2.5681)	Prec@1 38.281 (38.050)	Prec@5 75.000 (67.749)
Epoch: [72][530/7045]	Time 0.109 (0.265)	Data 0.058 (0.203)	Loss 2.5936 (2.5699)	Prec@1 38.672 (37.999)	Prec@5 64.062 (67.711)
Epoch: [72][540/7045]	Time 0.103 (0.265)	Data 0.001 (0.203)	Loss 2.4914 (2.5698)	Prec@1 39.844 (37.994)	Prec@5 69.141 (67.695)
Epoch: [72][550/7045]	Time 0.108 (0.265)	Data 0.001 (0.203)	Loss 2.4550 (2.5705)	Prec@1 41.016 (37.971)	Prec@5 69.531 (67.671)
Epoch: [72][560/7045]	Time 0.390 (0.265)	Data 0.339 (0.203)	Loss 2.5266 (2.5715)	Prec@1 36.719 (37.957)	Prec@5 70.312 (67.650)
Epoch: [72][570/7045]	Time 0.150 (0.265)	Data 0.098 (0.203)	Loss 2.7628 (2.5718)	Prec@1 34.375 (37.927)	Prec@5 66.016 (67.644)
Epoch: [72][580/7045]	Time 0.377 (0.265)	Data 0.326 (0.204)	Loss 2.7667 (2.5726)	Prec@1 31.250 (37.909)	Prec@5 66.406 (67.627)
Epoch: [72][590/7045]	Time 0.276 (0.265)	Data 0.226 (0.203)	Loss 2.5771 (2.5712)	Prec@1 37.500 (37.952)	Prec@5 67.188 (67.647)
Epoch: [72][600/7045]	Time 0.503 (0.265)	Data 0.451 (0.203)	Loss 2.5475 (2.5714)	Prec@1 40.234 (37.967)	Prec@5 64.844 (67.639)
Epoch: [72][610/7045]	Time 0.336 (0.265)	Data 0.277 (0.203)	Loss 2.7168 (2.5724)	Prec@1 39.062 (37.964)	Prec@5 64.062 (67.616)
Epoch: [72][620/7045]	Time 0.562 (0.265)	Data 0.511 (0.203)	Loss 2.5750 (2.5736)	Prec@1 41.016 (37.940)	Prec@5 67.578 (67.582)
Epoch: [72][630/7045]	Time 0.110 (0.265)	Data 0.001 (0.203)	Loss 2.5748 (2.5729)	Prec@1 38.281 (37.952)	Prec@5 66.406 (67.590)
Epoch: [72][640/7045]	Time 0.182 (0.265)	Data 0.131 (0.203)	Loss 2.5475 (2.5716)	Prec@1 38.672 (37.982)	Prec@5 68.359 (67.601)
Epoch: [72][650/7045]	Time 0.273 (0.265)	Data 0.221 (0.203)	Loss 2.2963 (2.5712)	Prec@1 44.531 (37.983)	Prec@5 76.953 (67.617)
Epoch: [72][660/7045]	Time 0.397 (0.265)	Data 0.346 (0.203)	Loss 2.5576 (2.5710)	Prec@1 35.547 (37.975)	Prec@5 68.750 (67.638)
Epoch: [72][670/7045]	Time 0.391 (0.265)	Data 0.340 (0.203)	Loss 2.6936 (2.5708)	Prec@1 33.984 (37.973)	Prec@5 66.406 (67.644)
Epoch: [72][680/7045]	Time 0.415 (0.265)	Data 0.364 (0.203)	Loss 2.5529 (2.5706)	Prec@1 32.031 (37.961)	Prec@5 69.141 (67.640)
Epoch: [72][690/7045]	Time 0.346 (0.265)	Data 0.295 (0.203)	Loss 2.5859 (2.5695)	Prec@1 39.062 (37.978)	Prec@5 68.750 (67.677)
Epoch: [72][700/7045]	Time 0.288 (0.265)	Data 0.237 (0.203)	Loss 2.4850 (2.5689)	Prec@1 41.797 (37.989)	Prec@5 67.578 (67.695)
Epoch: [72][710/7045]	Time 0.166 (0.265)	Data 0.114 (0.203)	Loss 2.4688 (2.5689)	Prec@1 35.156 (37.982)	Prec@5 71.484 (67.706)
Epoch: [72][720/7045]	Time 0.110 (0.265)	Data 0.002 (0.203)	Loss 2.3497 (2.5691)	Prec@1 44.922 (37.985)	Prec@5 72.656 (67.710)
Epoch: [72][730/7045]	Time 0.511 (0.265)	Data 0.461 (0.203)	Loss 2.6540 (2.5690)	Prec@1 37.500 (37.986)	Prec@5 64.844 (67.707)
Epoch: [72][740/7045]	Time 0.102 (0.265)	Data 0.001 (0.203)	Loss 2.5678 (2.5693)	Prec@1 40.234 (37.970)	Prec@5 68.359 (67.711)
Epoch: [72][750/7045]	Time 0.103 (0.265)	Data 0.001 (0.203)	Loss 2.7760 (2.5691)	Prec@1 37.500 (37.981)	Prec@5 64.062 (67.707)
Epoch: [72][760/7045]	Time 0.137 (0.265)	Data 0.086 (0.203)	Loss 2.5915 (2.5695)	Prec@1 36.719 (37.973)	Prec@5 67.578 (67.704)
Epoch: [72][770/7045]	Time 0.107 (0.265)	Data 0.056 (0.203)	Loss 2.7558 (2.5703)	Prec@1 37.109 (37.955)	Prec@5 64.062 (67.694)
Epoch: [72][780/7045]	Time 0.104 (0.265)	Data 0.001 (0.203)	Loss 2.4622 (2.5701)	Prec@1 40.625 (37.949)	Prec@5 67.578 (67.690)
Epoch: [72][790/7045]	Time 0.354 (0.265)	Data 0.303 (0.203)	Loss 2.6780 (2.5705)	Prec@1 35.547 (37.947)	Prec@5 66.797 (67.684)
Epoch: [72][800/7045]	Time 0.108 (0.265)	Data 0.001 (0.203)	Loss 2.6709 (2.5716)	Prec@1 35.156 (37.922)	Prec@5 65.234 (67.666)
Epoch: [72][810/7045]	Time 0.373 (0.265)	Data 0.322 (0.203)	Loss 2.5094 (2.5724)	Prec@1 39.062 (37.891)	Prec@5 70.312 (67.652)
Epoch: [72][820/7045]	Time 0.255 (0.265)	Data 0.204 (0.203)	Loss 2.5440 (2.5730)	Prec@1 38.672 (37.887)	Prec@5 70.703 (67.651)
Epoch: [72][830/7045]	Time 0.094 (0.265)	Data 0.001 (0.203)	Loss 2.8831 (2.5737)	Prec@1 32.422 (37.860)	Prec@5 60.938 (67.634)
Epoch: [72][840/7045]	Time 0.235 (0.265)	Data 0.184 (0.203)	Loss 2.5885 (2.5734)	Prec@1 35.547 (37.850)	Prec@5 68.359 (67.634)
Epoch: [72][850/7045]	Time 0.383 (0.265)	Data 0.331 (0.203)	Loss 2.3488 (2.5723)	Prec@1 40.625 (37.859)	Prec@5 69.922 (67.646)
Epoch: [72][860/7045]	Time 0.434 (0.265)	Data 0.384 (0.203)	Loss 2.4992 (2.5724)	Prec@1 41.406 (37.872)	Prec@5 69.531 (67.651)
Epoch: [72][870/7045]	Time 0.109 (0.265)	Data 0.001 (0.202)	Loss 2.2871 (2.5721)	Prec@1 40.625 (37.878)	Prec@5 73.828 (67.660)
Epoch: [72][880/7045]	Time 0.273 (0.265)	Data 0.216 (0.202)	Loss 2.4663 (2.5717)	Prec@1 37.500 (37.880)	Prec@5 68.750 (67.678)
Epoch: [72][890/7045]	Time 0.593 (0.265)	Data 0.542 (0.202)	Loss 2.3700 (2.5718)	Prec@1 41.016 (37.875)	Prec@5 72.656 (67.670)
Epoch: [72][900/7045]	Time 0.129 (0.264)	Data 0.078 (0.202)	Loss 2.4686 (2.5725)	Prec@1 33.594 (37.865)	Prec@5 68.750 (67.646)
Epoch: [72][910/7045]	Time 0.139 (0.264)	Data 0.087 (0.202)	Loss 2.7660 (2.5724)	Prec@1 33.203 (37.875)	Prec@5 63.281 (67.646)
Epoch: [72][920/7045]	Time 0.305 (0.264)	Data 0.255 (0.202)	Loss 2.7192 (2.5725)	Prec@1 31.250 (37.863)	Prec@5 62.500 (67.637)
Epoch: [72][930/7045]	Time 0.139 (0.264)	Data 0.088 (0.202)	Loss 2.4585 (2.5725)	Prec@1 38.672 (37.862)	Prec@5 69.922 (67.636)
Epoch: [72][940/7045]	Time 0.284 (0.264)	Data 0.234 (0.202)	Loss 2.5974 (2.5732)	Prec@1 39.453 (37.849)	Prec@5 68.359 (67.629)
Epoch: [72][950/7045]	Time 0.250 (0.265)	Data 0.200 (0.203)	Loss 2.6928 (2.5730)	Prec@1 33.203 (37.846)	Prec@5 66.406 (67.633)
Epoch: [72][960/7045]	Time 0.102 (0.265)	Data 0.001 (0.203)	Loss 2.2961 (2.5726)	Prec@1 42.969 (37.848)	Prec@5 73.828 (67.650)
Epoch: [72][970/7045]	Time 0.106 (0.265)	Data 0.001 (0.203)	Loss 2.5036 (2.5725)	Prec@1 41.797 (37.842)	Prec@5 66.797 (67.651)
Epoch: [72][980/7045]	Time 0.111 (0.265)	Data 0.060 (0.203)	Loss 2.4997 (2.5720)	Prec@1 36.719 (37.856)	Prec@5 69.531 (67.665)
Epoch: [72][990/7045]	Time 0.202 (0.265)	Data 0.150 (0.203)	Loss 2.6119 (2.5723)	Prec@1 33.984 (37.841)	Prec@5 66.797 (67.657)
Epoch: [72][1000/7045]	Time 0.121 (0.265)	Data 0.070 (0.203)	Loss 2.5868 (2.5723)	Prec@1 35.938 (37.835)	Prec@5 68.750 (67.653)
Epoch: [72][1010/7045]	Time 0.210 (0.265)	Data 0.159 (0.203)	Loss 2.7573 (2.5731)	Prec@1 33.203 (37.822)	Prec@5 64.453 (67.644)
Epoch: [72][1020/7045]	Time 0.154 (0.265)	Data 0.102 (0.203)	Loss 2.5955 (2.5730)	Prec@1 34.766 (37.811)	Prec@5 69.141 (67.641)
Epoch: [72][1030/7045]	Time 0.130 (0.265)	Data 0.077 (0.203)	Loss 2.4347 (2.5726)	Prec@1 41.797 (37.839)	Prec@5 71.094 (67.648)
Epoch: [72][1040/7045]	Time 0.103 (0.265)	Data 0.046 (0.203)	Loss 2.5077 (2.5726)	Prec@1 39.453 (37.846)	Prec@5 65.234 (67.638)
Epoch: [72][1050/7045]	Time 0.284 (0.265)	Data 0.234 (0.203)	Loss 2.6339 (2.5720)	Prec@1 37.109 (37.856)	Prec@5 63.672 (67.640)
Epoch: [72][1060/7045]	Time 0.183 (0.265)	Data 0.132 (0.203)	Loss 2.5073 (2.5716)	Prec@1 35.547 (37.870)	Prec@5 69.141 (67.650)
Epoch: [72][1070/7045]	Time 0.101 (0.265)	Data 0.009 (0.203)	Loss 2.3921 (2.5716)	Prec@1 42.969 (37.871)	Prec@5 72.656 (67.646)
Epoch: [72][1080/7045]	Time 0.293 (0.265)	Data 0.243 (0.203)	Loss 2.5220 (2.5719)	Prec@1 40.625 (37.878)	Prec@5 67.578 (67.637)
Epoch: [72][1090/7045]	Time 0.439 (0.265)	Data 0.388 (0.203)	Loss 2.6378 (2.5723)	Prec@1 36.719 (37.865)	Prec@5 65.625 (67.626)
Epoch: [72][1100/7045]	Time 0.164 (0.265)	Data 0.112 (0.204)	Loss 2.5974 (2.5722)	Prec@1 40.625 (37.872)	Prec@5 65.625 (67.624)
Epoch: [72][1110/7045]	Time 0.134 (0.265)	Data 0.082 (0.203)	Loss 2.6684 (2.5726)	Prec@1 35.156 (37.864)	Prec@5 68.359 (67.618)
Epoch: [72][1120/7045]	Time 0.146 (0.265)	Data 0.094 (0.203)	Loss 2.5647 (2.5726)	Prec@1 37.109 (37.860)	Prec@5 69.141 (67.622)
Epoch: [72][1130/7045]	Time 0.396 (0.265)	Data 0.345 (0.203)	Loss 2.5412 (2.5725)	Prec@1 36.719 (37.868)	Prec@5 70.312 (67.625)
Epoch: [72][1140/7045]	Time 0.279 (0.265)	Data 0.221 (0.203)	Loss 2.5522 (2.5728)	Prec@1 39.062 (37.864)	Prec@5 67.188 (67.608)
Epoch: [72][1150/7045]	Time 0.203 (0.265)	Data 0.153 (0.203)	Loss 2.8707 (2.5725)	Prec@1 32.422 (37.871)	Prec@5 62.891 (67.614)
Epoch: [72][1160/7045]	Time 0.106 (0.265)	Data 0.054 (0.203)	Loss 2.4773 (2.5723)	Prec@1 36.719 (37.876)	Prec@5 71.875 (67.611)
Epoch: [72][1170/7045]	Time 0.107 (0.265)	Data 0.053 (0.203)	Loss 2.4513 (2.5716)	Prec@1 35.547 (37.886)	Prec@5 72.656 (67.631)
Epoch: [72][1180/7045]	Time 0.121 (0.265)	Data 0.070 (0.203)	Loss 2.5984 (2.5718)	Prec@1 33.984 (37.879)	Prec@5 64.844 (67.629)
Epoch: [72][1190/7045]	Time 0.466 (0.265)	Data 0.415 (0.203)	Loss 2.7115 (2.5721)	Prec@1 33.984 (37.881)	Prec@5 63.672 (67.620)
Epoch: [72][1200/7045]	Time 0.282 (0.265)	Data 0.231 (0.203)	Loss 2.4537 (2.5720)	Prec@1 41.797 (37.891)	Prec@5 69.922 (67.620)
Epoch: [72][1210/7045]	Time 0.204 (0.265)	Data 0.153 (0.203)	Loss 2.7775 (2.5724)	Prec@1 34.766 (37.867)	Prec@5 60.938 (67.613)
Epoch: [72][1220/7045]	Time 0.102 (0.264)	Data 0.010 (0.203)	Loss 2.5024 (2.5727)	Prec@1 39.844 (37.855)	Prec@5 70.312 (67.612)
Epoch: [72][1230/7045]	Time 0.689 (0.265)	Data 0.639 (0.203)	Loss 2.4137 (2.5726)	Prec@1 40.234 (37.858)	Prec@5 70.703 (67.619)
Epoch: [72][1240/7045]	Time 0.203 (0.264)	Data 0.151 (0.202)	Loss 2.6800 (2.5732)	Prec@1 37.500 (37.842)	Prec@5 67.969 (67.606)
Epoch: [72][1250/7045]	Time 0.126 (0.264)	Data 0.076 (0.202)	Loss 2.6102 (2.5731)	Prec@1 36.719 (37.850)	Prec@5 66.016 (67.611)
Epoch: [72][1260/7045]	Time 0.898 (0.265)	Data 0.839 (0.203)	Loss 2.2782 (2.5734)	Prec@1 44.531 (37.851)	Prec@5 71.094 (67.600)
Epoch: [72][1270/7045]	Time 0.133 (0.264)	Data 0.081 (0.202)	Loss 2.5739 (2.5731)	Prec@1 39.062 (37.872)	Prec@5 68.359 (67.611)
Epoch: [72][1280/7045]	Time 0.482 (0.264)	Data 0.431 (0.202)	Loss 2.4089 (2.5736)	Prec@1 42.188 (37.865)	Prec@5 69.531 (67.607)
Epoch: [72][1290/7045]	Time 0.102 (0.265)	Data 0.001 (0.202)	Loss 2.6875 (2.5736)	Prec@1 33.984 (37.856)	Prec@5 65.234 (67.616)
Epoch: [72][1300/7045]	Time 0.407 (0.265)	Data 0.353 (0.203)	Loss 2.7849 (2.5740)	Prec@1 39.062 (37.857)	Prec@5 67.188 (67.612)
Epoch: [72][1310/7045]	Time 0.180 (0.265)	Data 0.129 (0.203)	Loss 2.5269 (2.5744)	Prec@1 39.062 (37.853)	Prec@5 68.359 (67.603)
Epoch: [72][1320/7045]	Time 0.322 (0.265)	Data 0.271 (0.203)	Loss 2.4414 (2.5741)	Prec@1 37.500 (37.856)	Prec@5 73.047 (67.610)
Epoch: [72][1330/7045]	Time 0.108 (0.265)	Data 0.056 (0.203)	Loss 2.8672 (2.5745)	Prec@1 33.203 (37.851)	Prec@5 60.938 (67.598)
Epoch: [72][1340/7045]	Time 0.101 (0.265)	Data 0.001 (0.203)	Loss 2.5314 (2.5743)	Prec@1 41.016 (37.864)	Prec@5 67.969 (67.604)
Epoch: [72][1350/7045]	Time 0.276 (0.265)	Data 0.226 (0.203)	Loss 2.8298 (2.5740)	Prec@1 32.812 (37.868)	Prec@5 62.500 (67.620)
Epoch: [72][1360/7045]	Time 0.105 (0.265)	Data 0.003 (0.203)	Loss 2.5595 (2.5742)	Prec@1 34.766 (37.861)	Prec@5 66.797 (67.614)
Epoch: [72][1370/7045]	Time 0.225 (0.265)	Data 0.174 (0.203)	Loss 2.4270 (2.5741)	Prec@1 40.625 (37.863)	Prec@5 72.656 (67.617)
Epoch: [72][1380/7045]	Time 0.102 (0.265)	Data 0.001 (0.203)	Loss 2.4582 (2.5738)	Prec@1 42.188 (37.875)	Prec@5 68.359 (67.623)
Epoch: [72][1390/7045]	Time 0.102 (0.265)	Data 0.001 (0.203)	Loss 2.4940 (2.5734)	Prec@1 37.109 (37.883)	Prec@5 67.188 (67.629)
Epoch: [72][1400/7045]	Time 0.102 (0.265)	Data 0.008 (0.203)	Loss 2.5760 (2.5739)	Prec@1 37.891 (37.873)	Prec@5 70.312 (67.617)
Epoch: [72][1410/7045]	Time 0.108 (0.265)	Data 0.019 (0.203)	Loss 2.5659 (2.5739)	Prec@1 40.234 (37.872)	Prec@5 67.188 (67.617)
Epoch: [72][1420/7045]	Time 0.102 (0.265)	Data 0.001 (0.203)	Loss 2.4996 (2.5743)	Prec@1 39.062 (37.871)	Prec@5 68.750 (67.608)
Epoch: [72][1430/7045]	Time 0.103 (0.265)	Data 0.019 (0.203)	Loss 2.7513 (2.5745)	Prec@1 34.375 (37.860)	Prec@5 64.062 (67.610)
Epoch: [72][1440/7045]	Time 0.102 (0.265)	Data 0.001 (0.203)	Loss 2.6662 (2.5747)	Prec@1 38.281 (37.864)	Prec@5 64.453 (67.607)
Epoch: [72][1450/7045]	Time 0.102 (0.265)	Data 0.008 (0.203)	Loss 2.5298 (2.5745)	Prec@1 35.156 (37.862)	Prec@5 71.094 (67.615)
Epoch: [72][1460/7045]	Time 0.102 (0.265)	Data 0.010 (0.203)	Loss 2.6007 (2.5741)	Prec@1 38.672 (37.868)	Prec@5 69.141 (67.613)
Epoch: [72][1470/7045]	Time 0.102 (0.266)	Data 0.033 (0.203)	Loss 2.4675 (2.5740)	Prec@1 42.188 (37.872)	Prec@5 72.656 (67.612)
Epoch: [72][1480/7045]	Time 0.101 (0.265)	Data 0.001 (0.203)	Loss 2.3580 (2.5739)	Prec@1 41.406 (37.864)	Prec@5 71.484 (67.609)
Epoch: [72][1490/7045]	Time 0.248 (0.266)	Data 0.194 (0.203)	Loss 2.4889 (2.5739)	Prec@1 37.891 (37.864)	Prec@5 69.141 (67.611)
Epoch: [72][1500/7045]	Time 0.102 (0.265)	Data 0.009 (0.203)	Loss 2.5525 (2.5743)	Prec@1 34.766 (37.853)	Prec@5 69.922 (67.608)
Epoch: [72][1510/7045]	Time 0.275 (0.266)	Data 0.224 (0.203)	Loss 2.2379 (2.5744)	Prec@1 43.750 (37.846)	Prec@5 74.219 (67.601)
Epoch: [72][1520/7045]	Time 0.144 (0.266)	Data 0.092 (0.203)	Loss 2.7308 (2.5744)	Prec@1 35.938 (37.843)	Prec@5 66.797 (67.609)
Epoch: [72][1530/7045]	Time 0.635 (0.266)	Data 0.576 (0.203)	Loss 2.4688 (2.5739)	Prec@1 40.234 (37.853)	Prec@5 68.359 (67.619)
Epoch: [72][1540/7045]	Time 0.148 (0.266)	Data 0.097 (0.203)	Loss 2.6117 (2.5735)	Prec@1 40.234 (37.861)	Prec@5 64.062 (67.621)
Epoch: [72][1550/7045]	Time 0.108 (0.266)	Data 0.054 (0.203)	Loss 2.6661 (2.5739)	Prec@1 35.156 (37.855)	Prec@5 62.500 (67.609)
Epoch: [72][1560/7045]	Time 0.427 (0.266)	Data 0.375 (0.203)	Loss 2.6259 (2.5742)	Prec@1 35.547 (37.841)	Prec@5 66.406 (67.604)
Epoch: [72][1570/7045]	Time 0.105 (0.266)	Data 0.053 (0.203)	Loss 2.6363 (2.5743)	Prec@1 35.156 (37.833)	Prec@5 66.016 (67.601)
Epoch: [72][1580/7045]	Time 0.581 (0.266)	Data 0.529 (0.203)	Loss 2.5312 (2.5744)	Prec@1 39.453 (37.835)	Prec@5 70.703 (67.602)
Epoch: [72][1590/7045]	Time 0.151 (0.266)	Data 0.100 (0.203)	Loss 2.5094 (2.5744)	Prec@1 39.062 (37.837)	Prec@5 69.141 (67.606)
Epoch: [72][1600/7045]	Time 0.118 (0.266)	Data 0.066 (0.203)	Loss 2.2291 (2.5741)	Prec@1 42.578 (37.839)	Prec@5 73.438 (67.609)
Epoch: [72][1610/7045]	Time 0.145 (0.265)	Data 0.092 (0.203)	Loss 2.6480 (2.5739)	Prec@1 34.766 (37.849)	Prec@5 67.969 (67.613)
Epoch: [72][1620/7045]	Time 0.217 (0.266)	Data 0.167 (0.203)	Loss 2.2739 (2.5735)	Prec@1 41.797 (37.861)	Prec@5 75.000 (67.621)
Epoch: [72][1630/7045]	Time 0.103 (0.265)	Data 0.001 (0.203)	Loss 2.5093 (2.5734)	Prec@1 42.188 (37.863)	Prec@5 68.359 (67.620)
Epoch: [72][1640/7045]	Time 0.102 (0.266)	Data 0.001 (0.203)	Loss 2.6776 (2.5739)	Prec@1 37.500 (37.850)	Prec@5 67.188 (67.612)
Epoch: [72][1650/7045]	Time 0.501 (0.266)	Data 0.450 (0.203)	Loss 2.5176 (2.5737)	Prec@1 37.891 (37.855)	Prec@5 66.406 (67.616)
Epoch: [72][1660/7045]	Time 0.178 (0.265)	Data 0.128 (0.203)	Loss 2.7406 (2.5738)	Prec@1 39.062 (37.852)	Prec@5 62.891 (67.617)
Epoch: [72][1670/7045]	Time 0.297 (0.265)	Data 0.236 (0.203)	Loss 2.7256 (2.5739)	Prec@1 33.984 (37.847)	Prec@5 64.062 (67.613)
Epoch: [72][1680/7045]	Time 0.687 (0.266)	Data 0.635 (0.203)	Loss 2.5113 (2.5738)	Prec@1 42.578 (37.859)	Prec@5 65.234 (67.616)
Epoch: [72][1690/7045]	Time 0.194 (0.265)	Data 0.144 (0.202)	Loss 2.5039 (2.5736)	Prec@1 38.672 (37.863)	Prec@5 70.312 (67.619)
Epoch: [72][1700/7045]	Time 0.102 (0.265)	Data 0.001 (0.202)	Loss 2.5980 (2.5735)	Prec@1 34.766 (37.858)	Prec@5 67.578 (67.619)
Epoch: [72][1710/7045]	Time 0.413 (0.265)	Data 0.362 (0.203)	Loss 2.6747 (2.5737)	Prec@1 33.984 (37.854)	Prec@5 65.625 (67.612)
Epoch: [72][1720/7045]	Time 0.164 (0.265)	Data 0.113 (0.202)	Loss 2.7017 (2.5737)	Prec@1 35.938 (37.851)	Prec@5 67.578 (67.609)
Epoch: [72][1730/7045]	Time 0.102 (0.265)	Data 0.006 (0.202)	Loss 2.6427 (2.5734)	Prec@1 34.766 (37.862)	Prec@5 66.016 (67.612)
Epoch: [72][1740/7045]	Time 0.389 (0.265)	Data 0.338 (0.202)	Loss 2.5264 (2.5734)	Prec@1 37.500 (37.868)	Prec@5 68.750 (67.614)
Epoch: [72][1750/7045]	Time 0.102 (0.265)	Data 0.001 (0.202)	Loss 2.3509 (2.5732)	Prec@1 40.625 (37.876)	Prec@5 71.875 (67.616)
Epoch: [72][1760/7045]	Time 0.101 (0.265)	Data 0.006 (0.202)	Loss 2.6259 (2.5732)	Prec@1 36.328 (37.878)	Prec@5 65.625 (67.616)
Epoch: [72][1770/7045]	Time 0.262 (0.265)	Data 0.211 (0.202)	Loss 2.6023 (2.5733)	Prec@1 35.938 (37.868)	Prec@5 67.188 (67.615)
Epoch: [72][1780/7045]	Time 0.198 (0.265)	Data 0.147 (0.202)	Loss 2.7107 (2.5735)	Prec@1 32.812 (37.862)	Prec@5 66.406 (67.615)
Epoch: [72][1790/7045]	Time 0.102 (0.265)	Data 0.001 (0.202)	Loss 2.6241 (2.5736)	Prec@1 35.156 (37.854)	Prec@5 66.406 (67.613)
Epoch: [72][1800/7045]	Time 0.690 (0.265)	Data 0.638 (0.202)	Loss 2.5054 (2.5736)	Prec@1 38.672 (37.849)	Prec@5 70.703 (67.614)
Epoch: [72][1810/7045]	Time 0.349 (0.265)	Data 0.297 (0.202)	Loss 2.5293 (2.5738)	Prec@1 37.500 (37.847)	Prec@5 69.922 (67.604)
Epoch: [72][1820/7045]	Time 0.102 (0.265)	Data 0.022 (0.202)	Loss 2.6742 (2.5738)	Prec@1 37.500 (37.848)	Prec@5 65.625 (67.603)
Epoch: [72][1830/7045]	Time 0.121 (0.265)	Data 0.069 (0.202)	Loss 2.4488 (2.5735)	Prec@1 41.406 (37.859)	Prec@5 71.484 (67.613)
Epoch: [72][1840/7045]	Time 0.102 (0.265)	Data 0.001 (0.202)	Loss 2.7694 (2.5737)	Prec@1 37.109 (37.860)	Prec@5 62.891 (67.611)
Epoch: [72][1850/7045]	Time 0.101 (0.265)	Data 0.008 (0.202)	Loss 2.5081 (2.5736)	Prec@1 36.328 (37.868)	Prec@5 69.531 (67.613)
Epoch: [72][1860/7045]	Time 0.138 (0.265)	Data 0.087 (0.202)	Loss 2.6135 (2.5736)	Prec@1 38.281 (37.868)	Prec@5 65.625 (67.613)
Epoch: [72][1870/7045]	Time 0.467 (0.265)	Data 0.416 (0.202)	Loss 2.6984 (2.5737)	Prec@1 39.062 (37.868)	Prec@5 66.016 (67.605)
Epoch: [72][1880/7045]	Time 0.101 (0.265)	Data 0.001 (0.202)	Loss 2.5830 (2.5740)	Prec@1 39.062 (37.866)	Prec@5 68.359 (67.598)
Epoch: [72][1890/7045]	Time 0.745 (0.265)	Data 0.694 (0.202)	Loss 2.6976 (2.5744)	Prec@1 34.766 (37.862)	Prec@5 65.234 (67.593)
Epoch: [72][1900/7045]	Time 0.102 (0.265)	Data 0.001 (0.202)	Loss 2.7599 (2.5747)	Prec@1 37.109 (37.854)	Prec@5 64.062 (67.589)
Epoch: [72][1910/7045]	Time 0.102 (0.265)	Data 0.001 (0.202)	Loss 2.6353 (2.5746)	Prec@1 38.281 (37.856)	Prec@5 66.016 (67.590)
Epoch: [72][1920/7045]	Time 0.170 (0.265)	Data 0.119 (0.202)	Loss 2.3061 (2.5745)	Prec@1 41.016 (37.856)	Prec@5 75.391 (67.593)
Epoch: [72][1930/7045]	Time 0.210 (0.265)	Data 0.158 (0.202)	Loss 2.4854 (2.5741)	Prec@1 39.844 (37.871)	Prec@5 67.188 (67.601)
Epoch: [72][1940/7045]	Time 0.710 (0.265)	Data 0.658 (0.202)	Loss 2.3283 (2.5741)	Prec@1 40.234 (37.873)	Prec@5 74.219 (67.600)
Epoch: [72][1950/7045]	Time 0.101 (0.265)	Data 0.011 (0.201)	Loss 2.5790 (2.5741)	Prec@1 33.594 (37.873)	Prec@5 66.797 (67.597)
Epoch: [72][1960/7045]	Time 0.554 (0.265)	Data 0.503 (0.202)	Loss 2.7361 (2.5740)	Prec@1 37.109 (37.880)	Prec@5 64.453 (67.596)
Epoch: [72][1970/7045]	Time 0.310 (0.265)	Data 0.258 (0.202)	Loss 2.4939 (2.5737)	Prec@1 38.672 (37.880)	Prec@5 69.141 (67.601)
Epoch: [72][1980/7045]	Time 0.173 (0.265)	Data 0.123 (0.201)	Loss 2.6263 (2.5740)	Prec@1 37.891 (37.879)	Prec@5 68.359 (67.598)
Epoch: [72][1990/7045]	Time 0.415 (0.265)	Data 0.364 (0.202)	Loss 2.5599 (2.5740)	Prec@1 37.891 (37.878)	Prec@5 67.969 (67.599)
Epoch: [72][2000/7045]	Time 0.402 (0.265)	Data 0.344 (0.202)	Loss 2.5529 (2.5738)	Prec@1 36.328 (37.881)	Prec@5 67.969 (67.605)
Epoch: [72][2010/7045]	Time 0.636 (0.265)	Data 0.585 (0.202)	Loss 2.5636 (2.5739)	Prec@1 35.156 (37.878)	Prec@5 68.359 (67.605)
Epoch: [72][2020/7045]	Time 0.157 (0.265)	Data 0.106 (0.201)	Loss 2.5549 (2.5738)	Prec@1 41.016 (37.882)	Prec@5 68.750 (67.608)
Epoch: [72][2030/7045]	Time 0.101 (0.265)	Data 0.001 (0.201)	Loss 2.2529 (2.5734)	Prec@1 42.578 (37.892)	Prec@5 74.609 (67.618)
Epoch: [72][2040/7045]	Time 0.106 (0.265)	Data 0.013 (0.202)	Loss 2.4228 (2.5731)	Prec@1 42.969 (37.898)	Prec@5 69.141 (67.624)
Epoch: [72][2050/7045]	Time 0.216 (0.265)	Data 0.165 (0.201)	Loss 2.4542 (2.5731)	Prec@1 42.188 (37.896)	Prec@5 67.578 (67.625)
Epoch: [72][2060/7045]	Time 0.149 (0.265)	Data 0.097 (0.201)	Loss 2.6301 (2.5728)	Prec@1 34.766 (37.897)	Prec@5 68.359 (67.633)
Epoch: [72][2070/7045]	Time 0.304 (0.265)	Data 0.253 (0.201)	Loss 2.3756 (2.5727)	Prec@1 42.188 (37.901)	Prec@5 73.438 (67.632)
Epoch: [72][2080/7045]	Time 0.111 (0.265)	Data 0.007 (0.201)	Loss 2.4514 (2.5726)	Prec@1 43.359 (37.904)	Prec@5 70.312 (67.634)
Epoch: [72][2090/7045]	Time 0.253 (0.265)	Data 0.202 (0.201)	Loss 2.3120 (2.5724)	Prec@1 42.188 (37.906)	Prec@5 72.656 (67.637)
Epoch: [72][2100/7045]	Time 0.117 (0.265)	Data 0.066 (0.201)	Loss 2.6750 (2.5723)	Prec@1 37.500 (37.903)	Prec@5 65.625 (67.636)
Epoch: [72][2110/7045]	Time 0.550 (0.265)	Data 0.499 (0.201)	Loss 2.4341 (2.5721)	Prec@1 37.500 (37.905)	Prec@5 70.312 (67.638)
Epoch: [72][2120/7045]	Time 0.103 (0.265)	Data 0.001 (0.201)	Loss 2.7863 (2.5723)	Prec@1 35.156 (37.904)	Prec@5 64.844 (67.639)
Epoch: [72][2130/7045]	Time 0.108 (0.265)	Data 0.001 (0.201)	Loss 2.6154 (2.5721)	Prec@1 42.188 (37.907)	Prec@5 65.625 (67.639)
Epoch: [72][2140/7045]	Time 0.102 (0.265)	Data 0.001 (0.201)	Loss 2.6787 (2.5721)	Prec@1 36.719 (37.908)	Prec@5 65.625 (67.641)
Epoch: [72][2150/7045]	Time 0.750 (0.265)	Data 0.690 (0.201)	Loss 2.7103 (2.5721)	Prec@1 37.109 (37.911)	Prec@5 66.797 (67.639)
Epoch: [72][2160/7045]	Time 0.159 (0.265)	Data 0.108 (0.201)	Loss 2.4611 (2.5720)	Prec@1 35.547 (37.903)	Prec@5 71.094 (67.643)
Epoch: [72][2170/7045]	Time 0.326 (0.265)	Data 0.275 (0.201)	Loss 2.4277 (2.5720)	Prec@1 40.625 (37.903)	Prec@5 70.312 (67.646)
Epoch: [72][2180/7045]	Time 0.967 (0.265)	Data 0.917 (0.201)	Loss 2.5221 (2.5717)	Prec@1 42.578 (37.909)	Prec@5 69.531 (67.650)
Epoch: [72][2190/7045]	Time 0.318 (0.265)	Data 0.268 (0.201)	Loss 2.2957 (2.5716)	Prec@1 43.359 (37.910)	Prec@5 71.875 (67.653)
Epoch: [72][2200/7045]	Time 0.102 (0.264)	Data 0.006 (0.201)	Loss 2.3220 (2.5715)	Prec@1 41.016 (37.905)	Prec@5 75.391 (67.657)
Epoch: [72][2210/7045]	Time 0.559 (0.265)	Data 0.508 (0.201)	Loss 2.5925 (2.5715)	Prec@1 33.203 (37.901)	Prec@5 67.969 (67.656)
Epoch: [72][2220/7045]	Time 0.566 (0.265)	Data 0.515 (0.201)	Loss 2.5726 (2.5714)	Prec@1 37.500 (37.906)	Prec@5 70.703 (67.657)
Epoch: [72][2230/7045]	Time 0.113 (0.264)	Data 0.013 (0.201)	Loss 2.5191 (2.5712)	Prec@1 36.328 (37.912)	Prec@5 68.750 (67.659)
Epoch: [72][2240/7045]	Time 0.728 (0.265)	Data 0.667 (0.201)	Loss 2.4248 (2.5713)	Prec@1 40.234 (37.907)	Prec@5 68.750 (67.656)
Epoch: [72][2250/7045]	Time 0.141 (0.264)	Data 0.089 (0.201)	Loss 2.6455 (2.5715)	Prec@1 37.891 (37.905)	Prec@5 64.453 (67.651)
Epoch: [72][2260/7045]	Time 0.103 (0.264)	Data 0.001 (0.201)	Loss 2.7111 (2.5717)	Prec@1 36.719 (37.900)	Prec@5 66.016 (67.651)
Epoch: [72][2270/7045]	Time 0.390 (0.264)	Data 0.339 (0.201)	Loss 2.3825 (2.5717)	Prec@1 40.625 (37.894)	Prec@5 76.172 (67.656)
Epoch: [72][2280/7045]	Time 0.447 (0.264)	Data 0.396 (0.201)	Loss 2.6046 (2.5717)	Prec@1 38.281 (37.893)	Prec@5 67.578 (67.655)
Epoch: [72][2290/7045]	Time 0.259 (0.264)	Data 0.210 (0.201)	Loss 2.5109 (2.5717)	Prec@1 34.766 (37.896)	Prec@5 67.969 (67.656)
Epoch: [72][2300/7045]	Time 0.304 (0.264)	Data 0.253 (0.201)	Loss 2.4649 (2.5715)	Prec@1 42.969 (37.900)	Prec@5 70.703 (67.659)
Epoch: [72][2310/7045]	Time 0.731 (0.264)	Data 0.679 (0.201)	Loss 2.4893 (2.5715)	Prec@1 40.625 (37.901)	Prec@5 67.969 (67.659)
Epoch: [72][2320/7045]	Time 0.102 (0.264)	Data 0.001 (0.201)	Loss 2.6269 (2.5717)	Prec@1 36.328 (37.897)	Prec@5 66.406 (67.652)
Epoch: [72][2330/7045]	Time 0.318 (0.264)	Data 0.267 (0.200)	Loss 2.4836 (2.5717)	Prec@1 41.406 (37.897)	Prec@5 69.141 (67.652)
Epoch: [72][2340/7045]	Time 0.101 (0.264)	Data 0.005 (0.200)	Loss 2.5998 (2.5716)	Prec@1 38.672 (37.899)	Prec@5 68.359 (67.658)
Epoch: [72][2350/7045]	Time 0.301 (0.264)	Data 0.249 (0.200)	Loss 2.4642 (2.5714)	Prec@1 37.109 (37.897)	Prec@5 66.797 (67.661)
Epoch: [72][2360/7045]	Time 0.185 (0.264)	Data 0.134 (0.201)	Loss 2.8055 (2.5717)	Prec@1 31.641 (37.887)	Prec@5 64.453 (67.656)
Epoch: [72][2370/7045]	Time 0.168 (0.264)	Data 0.116 (0.201)	Loss 2.6342 (2.5718)	Prec@1 35.156 (37.886)	Prec@5 68.359 (67.657)
Epoch: [72][2380/7045]	Time 0.700 (0.264)	Data 0.649 (0.201)	Loss 2.4306 (2.5719)	Prec@1 42.188 (37.883)	Prec@5 72.656 (67.657)
Epoch: [72][2390/7045]	Time 0.108 (0.264)	Data 0.001 (0.200)	Loss 2.4867 (2.5717)	Prec@1 39.453 (37.882)	Prec@5 69.531 (67.663)
Epoch: [72][2400/7045]	Time 0.190 (0.264)	Data 0.139 (0.200)	Loss 2.6574 (2.5718)	Prec@1 38.281 (37.884)	Prec@5 67.969 (67.665)
Epoch: [72][2410/7045]	Time 0.509 (0.264)	Data 0.457 (0.201)	Loss 2.4834 (2.5717)	Prec@1 39.844 (37.883)	Prec@5 71.875 (67.665)
Epoch: [72][2420/7045]	Time 0.396 (0.264)	Data 0.345 (0.201)	Loss 2.8159 (2.5720)	Prec@1 30.469 (37.880)	Prec@5 61.719 (67.657)
Epoch: [72][2430/7045]	Time 0.692 (0.264)	Data 0.639 (0.201)	Loss 2.5287 (2.5721)	Prec@1 37.500 (37.877)	Prec@5 72.266 (67.653)
Epoch: [72][2440/7045]	Time 0.220 (0.264)	Data 0.169 (0.201)	Loss 2.8508 (2.5720)	Prec@1 35.547 (37.878)	Prec@5 64.844 (67.654)
Epoch: [72][2450/7045]	Time 0.102 (0.264)	Data 0.048 (0.201)	Loss 2.5693 (2.5723)	Prec@1 36.328 (37.867)	Prec@5 67.969 (67.649)
Epoch: [72][2460/7045]	Time 0.101 (0.264)	Data 0.047 (0.201)	Loss 2.5154 (2.5723)	Prec@1 38.281 (37.869)	Prec@5 69.141 (67.648)
Epoch: [72][2470/7045]	Time 0.131 (0.264)	Data 0.072 (0.201)	Loss 2.5441 (2.5722)	Prec@1 39.844 (37.875)	Prec@5 69.531 (67.648)
Epoch: [72][2480/7045]	Time 0.254 (0.264)	Data 0.203 (0.201)	Loss 2.6225 (2.5722)	Prec@1 33.203 (37.874)	Prec@5 66.406 (67.650)
Epoch: [72][2490/7045]	Time 0.528 (0.264)	Data 0.478 (0.201)	Loss 2.5838 (2.5722)	Prec@1 37.500 (37.871)	Prec@5 68.359 (67.649)
Epoch: [72][2500/7045]	Time 0.101 (0.264)	Data 0.001 (0.201)	Loss 2.4217 (2.5719)	Prec@1 40.625 (37.874)	Prec@5 67.578 (67.654)
Epoch: [72][2510/7045]	Time 0.445 (0.264)	Data 0.393 (0.201)	Loss 2.5220 (2.5718)	Prec@1 40.234 (37.880)	Prec@5 67.969 (67.657)
Epoch: [72][2520/7045]	Time 0.102 (0.264)	Data 0.012 (0.201)	Loss 2.5258 (2.5719)	Prec@1 39.453 (37.879)	Prec@5 69.531 (67.656)
Epoch: [72][2530/7045]	Time 0.109 (0.264)	Data 0.058 (0.201)	Loss 2.6094 (2.5721)	Prec@1 38.672 (37.875)	Prec@5 65.234 (67.654)
Epoch: [72][2540/7045]	Time 0.102 (0.264)	Data 0.006 (0.201)	Loss 2.7892 (2.5721)	Prec@1 30.859 (37.877)	Prec@5 65.234 (67.653)
Epoch: [72][2550/7045]	Time 0.215 (0.264)	Data 0.163 (0.201)	Loss 2.3669 (2.5719)	Prec@1 41.797 (37.885)	Prec@5 73.438 (67.657)
Epoch: [72][2560/7045]	Time 0.315 (0.264)	Data 0.263 (0.201)	Loss 2.5921 (2.5721)	Prec@1 35.156 (37.882)	Prec@5 66.016 (67.654)
Epoch: [72][2570/7045]	Time 0.102 (0.264)	Data 0.001 (0.201)	Loss 2.6728 (2.5721)	Prec@1 35.938 (37.880)	Prec@5 67.578 (67.653)
Epoch: [72][2580/7045]	Time 0.335 (0.264)	Data 0.275 (0.201)	Loss 2.6724 (2.5724)	Prec@1 34.375 (37.876)	Prec@5 65.625 (67.649)
Epoch: [72][2590/7045]	Time 0.366 (0.264)	Data 0.314 (0.201)	Loss 2.5506 (2.5723)	Prec@1 38.672 (37.873)	Prec@5 71.484 (67.649)
Epoch: [72][2600/7045]	Time 0.535 (0.264)	Data 0.484 (0.201)	Loss 2.6244 (2.5723)	Prec@1 37.109 (37.866)	Prec@5 66.016 (67.655)
Epoch: [72][2610/7045]	Time 0.107 (0.264)	Data 0.001 (0.201)	Loss 2.2888 (2.5723)	Prec@1 44.141 (37.862)	Prec@5 71.875 (67.660)
Epoch: [72][2620/7045]	Time 0.461 (0.264)	Data 0.411 (0.201)	Loss 2.2444 (2.5718)	Prec@1 44.141 (37.867)	Prec@5 75.000 (67.668)
Epoch: [72][2630/7045]	Time 0.274 (0.264)	Data 0.223 (0.201)	Loss 2.5405 (2.5718)	Prec@1 35.547 (37.867)	Prec@5 67.969 (67.666)
Epoch: [72][2640/7045]	Time 0.259 (0.264)	Data 0.209 (0.201)	Loss 2.3937 (2.5716)	Prec@1 42.188 (37.870)	Prec@5 70.312 (67.668)
Epoch: [72][2650/7045]	Time 0.360 (0.264)	Data 0.309 (0.201)	Loss 2.4839 (2.5717)	Prec@1 41.406 (37.870)	Prec@5 69.141 (67.662)
Epoch: [72][2660/7045]	Time 0.101 (0.264)	Data 0.011 (0.201)	Loss 2.6156 (2.5718)	Prec@1 39.062 (37.866)	Prec@5 66.016 (67.663)
Epoch: [72][2670/7045]	Time 0.151 (0.264)	Data 0.099 (0.201)	Loss 2.6160 (2.5718)	Prec@1 34.766 (37.865)	Prec@5 67.969 (67.665)
Epoch: [72][2680/7045]	Time 0.534 (0.265)	Data 0.482 (0.201)	Loss 2.2985 (2.5715)	Prec@1 40.625 (37.865)	Prec@5 69.922 (67.670)
Epoch: [72][2690/7045]	Time 0.166 (0.265)	Data 0.115 (0.201)	Loss 2.2618 (2.5713)	Prec@1 42.969 (37.872)	Prec@5 74.609 (67.674)
Epoch: [72][2700/7045]	Time 0.532 (0.265)	Data 0.479 (0.201)	Loss 2.5066 (2.5714)	Prec@1 39.844 (37.867)	Prec@5 73.438 (67.672)
Epoch: [72][2710/7045]	Time 0.123 (0.265)	Data 0.062 (0.201)	Loss 2.6609 (2.5714)	Prec@1 36.719 (37.865)	Prec@5 67.969 (67.670)
Epoch: [72][2720/7045]	Time 0.347 (0.264)	Data 0.294 (0.201)	Loss 2.4134 (2.5712)	Prec@1 42.969 (37.872)	Prec@5 70.312 (67.672)
Epoch: [72][2730/7045]	Time 0.102 (0.264)	Data 0.007 (0.201)	Loss 2.4778 (2.5712)	Prec@1 38.281 (37.870)	Prec@5 67.188 (67.674)
Epoch: [72][2740/7045]	Time 0.102 (0.264)	Data 0.001 (0.201)	Loss 2.7769 (2.5712)	Prec@1 32.812 (37.867)	Prec@5 62.109 (67.675)
Epoch: [72][2750/7045]	Time 0.227 (0.264)	Data 0.175 (0.201)	Loss 2.7071 (2.5714)	Prec@1 36.719 (37.867)	Prec@5 63.672 (67.671)
Epoch: [72][2760/7045]	Time 0.662 (0.264)	Data 0.610 (0.201)	Loss 2.5174 (2.5713)	Prec@1 37.891 (37.869)	Prec@5 69.922 (67.673)
Epoch: [72][2770/7045]	Time 0.102 (0.264)	Data 0.001 (0.201)	Loss 2.6739 (2.5717)	Prec@1 37.500 (37.863)	Prec@5 66.406 (67.669)
Epoch: [72][2780/7045]	Time 0.474 (0.264)	Data 0.422 (0.201)	Loss 2.6783 (2.5716)	Prec@1 36.328 (37.868)	Prec@5 67.188 (67.669)
Epoch: [72][2790/7045]	Time 0.101 (0.264)	Data 0.011 (0.201)	Loss 2.5931 (2.5713)	Prec@1 34.375 (37.873)	Prec@5 65.234 (67.674)
Epoch: [72][2800/7045]	Time 0.102 (0.264)	Data 0.021 (0.201)	Loss 2.8113 (2.5715)	Prec@1 34.375 (37.872)	Prec@5 62.891 (67.675)
Epoch: [72][2810/7045]	Time 0.228 (0.264)	Data 0.176 (0.201)	Loss 2.4296 (2.5716)	Prec@1 45.312 (37.873)	Prec@5 73.438 (67.674)
Epoch: [72][2820/7045]	Time 0.101 (0.264)	Data 0.001 (0.201)	Loss 2.5053 (2.5712)	Prec@1 39.453 (37.878)	Prec@5 68.750 (67.679)
Epoch: [72][2830/7045]	Time 0.217 (0.264)	Data 0.166 (0.201)	Loss 2.7004 (2.5712)	Prec@1 39.453 (37.882)	Prec@5 65.234 (67.681)
Epoch: [72][2840/7045]	Time 0.131 (0.264)	Data 0.080 (0.201)	Loss 2.6672 (2.5712)	Prec@1 33.984 (37.884)	Prec@5 64.453 (67.681)
Epoch: [72][2850/7045]	Time 0.164 (0.264)	Data 0.113 (0.201)	Loss 2.5523 (2.5712)	Prec@1 34.766 (37.882)	Prec@5 68.750 (67.683)
Epoch: [72][2860/7045]	Time 0.611 (0.264)	Data 0.560 (0.201)	Loss 2.7204 (2.5713)	Prec@1 33.203 (37.879)	Prec@5 64.062 (67.680)
Epoch: [72][2870/7045]	Time 0.140 (0.264)	Data 0.087 (0.201)	Loss 2.4984 (2.5715)	Prec@1 36.719 (37.873)	Prec@5 68.359 (67.673)
Epoch: [72][2880/7045]	Time 0.102 (0.264)	Data 0.047 (0.201)	Loss 2.3973 (2.5713)	Prec@1 41.797 (37.878)	Prec@5 70.703 (67.677)
Epoch: [72][2890/7045]	Time 0.102 (0.264)	Data 0.001 (0.201)	Loss 2.6995 (2.5713)	Prec@1 35.547 (37.877)	Prec@5 66.016 (67.676)
Epoch: [72][2900/7045]	Time 0.102 (0.264)	Data 0.001 (0.201)	Loss 2.5445 (2.5713)	Prec@1 37.109 (37.874)	Prec@5 67.578 (67.675)
Epoch: [72][2910/7045]	Time 0.102 (0.264)	Data 0.049 (0.201)	Loss 2.5738 (2.5713)	Prec@1 34.766 (37.874)	Prec@5 66.406 (67.672)
Epoch: [72][2920/7045]	Time 0.350 (0.264)	Data 0.298 (0.201)	Loss 2.6560 (2.5713)	Prec@1 33.203 (37.874)	Prec@5 64.062 (67.670)
Epoch: [72][2930/7045]	Time 0.349 (0.264)	Data 0.298 (0.201)	Loss 2.5856 (2.5711)	Prec@1 37.891 (37.876)	Prec@5 70.312 (67.675)
Epoch: [72][2940/7045]	Time 0.324 (0.264)	Data 0.274 (0.201)	Loss 2.6204 (2.5711)	Prec@1 35.156 (37.873)	Prec@5 69.531 (67.677)
Epoch: [72][2950/7045]	Time 0.188 (0.264)	Data 0.135 (0.201)	Loss 2.4418 (2.5710)	Prec@1 41.406 (37.870)	Prec@5 71.094 (67.674)
Epoch: [72][2960/7045]	Time 0.263 (0.264)	Data 0.212 (0.201)	Loss 2.6969 (2.5712)	Prec@1 35.156 (37.870)	Prec@5 64.844 (67.670)
Epoch: [72][2970/7045]	Time 0.260 (0.264)	Data 0.209 (0.201)	Loss 2.6323 (2.5713)	Prec@1 38.672 (37.869)	Prec@5 66.797 (67.669)
Epoch: [72][2980/7045]	Time 0.101 (0.264)	Data 0.008 (0.201)	Loss 2.5256 (2.5712)	Prec@1 41.797 (37.868)	Prec@5 67.578 (67.667)
Epoch: [72][2990/7045]	Time 0.104 (0.264)	Data 0.052 (0.201)	Loss 2.4358 (2.5712)	Prec@1 37.109 (37.867)	Prec@5 68.750 (67.666)
Epoch: [72][3000/7045]	Time 0.384 (0.264)	Data 0.332 (0.201)	Loss 2.6695 (2.5714)	Prec@1 36.719 (37.865)	Prec@5 67.578 (67.663)
Epoch: [72][3010/7045]	Time 0.101 (0.264)	Data 0.001 (0.201)	Loss 2.6942 (2.5715)	Prec@1 36.719 (37.866)	Prec@5 67.188 (67.660)
Epoch: [72][3020/7045]	Time 0.459 (0.264)	Data 0.400 (0.201)	Loss 2.4257 (2.5716)	Prec@1 41.016 (37.864)	Prec@5 72.656 (67.661)
Epoch: [72][3030/7045]	Time 0.115 (0.264)	Data 0.064 (0.200)	Loss 2.4675 (2.5718)	Prec@1 41.016 (37.862)	Prec@5 71.094 (67.659)
Epoch: [72][3040/7045]	Time 0.427 (0.264)	Data 0.367 (0.201)	Loss 2.8407 (2.5719)	Prec@1 33.594 (37.857)	Prec@5 65.625 (67.660)
Epoch: [72][3050/7045]	Time 0.348 (0.264)	Data 0.290 (0.200)	Loss 2.4299 (2.5719)	Prec@1 38.672 (37.857)	Prec@5 69.141 (67.658)
Epoch: [72][3060/7045]	Time 0.447 (0.264)	Data 0.396 (0.200)	Loss 2.5258 (2.5718)	Prec@1 36.328 (37.860)	Prec@5 67.969 (67.658)
Epoch: [72][3070/7045]	Time 0.149 (0.264)	Data 0.097 (0.200)	Loss 2.5174 (2.5718)	Prec@1 38.281 (37.860)	Prec@5 71.094 (67.658)
Epoch: [72][3080/7045]	Time 0.106 (0.264)	Data 0.054 (0.200)	Loss 2.5905 (2.5718)	Prec@1 38.672 (37.862)	Prec@5 66.016 (67.659)
Epoch: [72][3090/7045]	Time 0.102 (0.264)	Data 0.001 (0.200)	Loss 2.4728 (2.5718)	Prec@1 39.062 (37.858)	Prec@5 71.094 (67.659)
Epoch: [72][3100/7045]	Time 0.262 (0.264)	Data 0.210 (0.200)	Loss 2.8296 (2.5721)	Prec@1 30.859 (37.853)	Prec@5 61.719 (67.654)
Epoch: [72][3110/7045]	Time 0.281 (0.264)	Data 0.231 (0.200)	Loss 2.7822 (2.5722)	Prec@1 31.641 (37.850)	Prec@5 65.625 (67.651)
Epoch: [72][3120/7045]	Time 0.389 (0.264)	Data 0.338 (0.200)	Loss 2.6664 (2.5723)	Prec@1 39.844 (37.848)	Prec@5 66.797 (67.650)
Epoch: [72][3130/7045]	Time 0.101 (0.264)	Data 0.001 (0.200)	Loss 2.9074 (2.5722)	Prec@1 35.938 (37.849)	Prec@5 59.766 (67.653)
Epoch: [72][3140/7045]	Time 0.621 (0.264)	Data 0.570 (0.200)	Loss 2.7062 (2.5721)	Prec@1 35.938 (37.853)	Prec@5 66.406 (67.654)
Epoch: [72][3150/7045]	Time 0.102 (0.264)	Data 0.001 (0.200)	Loss 2.6579 (2.5720)	Prec@1 36.719 (37.852)	Prec@5 67.578 (67.654)
Epoch: [72][3160/7045]	Time 0.227 (0.264)	Data 0.176 (0.200)	Loss 2.6798 (2.5722)	Prec@1 35.938 (37.847)	Prec@5 60.156 (67.650)
Epoch: [72][3170/7045]	Time 0.171 (0.264)	Data 0.120 (0.200)	Loss 2.4633 (2.5723)	Prec@1 40.625 (37.845)	Prec@5 70.312 (67.645)
Epoch: [72][3180/7045]	Time 0.389 (0.264)	Data 0.337 (0.200)	Loss 2.6339 (2.5721)	Prec@1 41.406 (37.848)	Prec@5 65.625 (67.653)
Epoch: [72][3190/7045]	Time 0.102 (0.264)	Data 0.001 (0.200)	Loss 2.5445 (2.5720)	Prec@1 37.500 (37.855)	Prec@5 72.266 (67.655)
Epoch: [72][3200/7045]	Time 0.394 (0.264)	Data 0.343 (0.200)	Loss 2.5317 (2.5718)	Prec@1 37.500 (37.855)	Prec@5 67.578 (67.657)
Epoch: [72][3210/7045]	Time 0.559 (0.264)	Data 0.508 (0.200)	Loss 2.7525 (2.5718)	Prec@1 35.547 (37.854)	Prec@5 62.109 (67.656)
Epoch: [72][3220/7045]	Time 0.117 (0.263)	Data 0.066 (0.200)	Loss 2.6600 (2.5717)	Prec@1 38.281 (37.854)	Prec@5 70.703 (67.657)
Epoch: [72][3230/7045]	Time 0.332 (0.263)	Data 0.282 (0.200)	Loss 2.7349 (2.5717)	Prec@1 34.375 (37.851)	Prec@5 61.719 (67.657)
Epoch: [72][3240/7045]	Time 0.111 (0.263)	Data 0.010 (0.200)	Loss 2.5756 (2.5717)	Prec@1 37.891 (37.850)	Prec@5 67.578 (67.655)
Epoch: [72][3250/7045]	Time 0.418 (0.263)	Data 0.367 (0.200)	Loss 2.6689 (2.5716)	Prec@1 34.766 (37.852)	Prec@5 66.406 (67.659)
Epoch: [72][3260/7045]	Time 0.351 (0.263)	Data 0.299 (0.200)	Loss 2.6104 (2.5715)	Prec@1 35.938 (37.854)	Prec@5 67.578 (67.659)
Epoch: [72][3270/7045]	Time 0.102 (0.263)	Data 0.001 (0.200)	Loss 2.3313 (2.5715)	Prec@1 42.188 (37.855)	Prec@5 72.266 (67.660)
Epoch: [72][3280/7045]	Time 0.563 (0.263)	Data 0.511 (0.200)	Loss 2.5071 (2.5713)	Prec@1 42.969 (37.859)	Prec@5 68.750 (67.664)
Epoch: [72][3290/7045]	Time 0.470 (0.263)	Data 0.418 (0.200)	Loss 2.4145 (2.5712)	Prec@1 44.141 (37.862)	Prec@5 73.047 (67.667)
Epoch: [72][3300/7045]	Time 0.264 (0.263)	Data 0.213 (0.200)	Loss 2.3885 (2.5712)	Prec@1 40.625 (37.859)	Prec@5 71.875 (67.668)
Epoch: [72][3310/7045]	Time 0.171 (0.263)	Data 0.120 (0.200)	Loss 2.6545 (2.5713)	Prec@1 32.031 (37.857)	Prec@5 66.016 (67.665)
Epoch: [72][3320/7045]	Time 0.102 (0.263)	Data 0.001 (0.199)	Loss 2.4302 (2.5712)	Prec@1 39.062 (37.862)	Prec@5 71.484 (67.668)
Epoch: [72][3330/7045]	Time 0.309 (0.263)	Data 0.257 (0.199)	Loss 2.4827 (2.5710)	Prec@1 37.500 (37.865)	Prec@5 69.141 (67.675)
Epoch: [72][3340/7045]	Time 0.109 (0.263)	Data 0.058 (0.199)	Loss 2.7281 (2.5709)	Prec@1 34.766 (37.869)	Prec@5 68.359 (67.676)
Epoch: [72][3350/7045]	Time 0.110 (0.263)	Data 0.010 (0.199)	Loss 2.6837 (2.5709)	Prec@1 34.766 (37.870)	Prec@5 68.359 (67.678)
Epoch: [72][3360/7045]	Time 0.107 (0.263)	Data 0.055 (0.199)	Loss 2.6302 (2.5709)	Prec@1 38.672 (37.871)	Prec@5 65.234 (67.677)
Epoch: [72][3370/7045]	Time 0.217 (0.263)	Data 0.166 (0.199)	Loss 2.5658 (2.5709)	Prec@1 37.109 (37.872)	Prec@5 66.797 (67.676)
Epoch: [72][3380/7045]	Time 0.103 (0.263)	Data 0.001 (0.199)	Loss 2.7490 (2.5710)	Prec@1 35.938 (37.873)	Prec@5 65.234 (67.677)
Epoch: [72][3390/7045]	Time 0.264 (0.263)	Data 0.206 (0.199)	Loss 2.5563 (2.5711)	Prec@1 37.500 (37.869)	Prec@5 69.141 (67.677)
Epoch: [72][3400/7045]	Time 0.115 (0.263)	Data 0.063 (0.199)	Loss 2.5502 (2.5711)	Prec@1 35.547 (37.867)	Prec@5 66.797 (67.677)
Epoch: [72][3410/7045]	Time 0.117 (0.263)	Data 0.066 (0.199)	Loss 2.4920 (2.5712)	Prec@1 37.500 (37.865)	Prec@5 71.094 (67.674)
Epoch: [72][3420/7045]	Time 0.124 (0.263)	Data 0.073 (0.199)	Loss 2.7766 (2.5712)	Prec@1 34.375 (37.864)	Prec@5 65.234 (67.675)
Epoch: [72][3430/7045]	Time 0.118 (0.263)	Data 0.068 (0.199)	Loss 2.5250 (2.5711)	Prec@1 40.625 (37.867)	Prec@5 69.531 (67.676)
Epoch: [72][3440/7045]	Time 0.151 (0.263)	Data 0.100 (0.199)	Loss 2.6064 (2.5712)	Prec@1 37.500 (37.866)	Prec@5 68.750 (67.677)
Epoch: [72][3450/7045]	Time 0.110 (0.263)	Data 0.001 (0.199)	Loss 2.5143 (2.5713)	Prec@1 37.891 (37.860)	Prec@5 70.703 (67.674)
Epoch: [72][3460/7045]	Time 0.102 (0.263)	Data 0.010 (0.199)	Loss 2.5117 (2.5714)	Prec@1 36.328 (37.856)	Prec@5 68.750 (67.670)
Epoch: [72][3470/7045]	Time 0.108 (0.263)	Data 0.005 (0.199)	Loss 2.5512 (2.5715)	Prec@1 34.766 (37.851)	Prec@5 67.969 (67.671)
Epoch: [72][3480/7045]	Time 0.264 (0.263)	Data 0.213 (0.199)	Loss 2.6426 (2.5716)	Prec@1 37.891 (37.852)	Prec@5 70.312 (67.669)
Epoch: [72][3490/7045]	Time 0.186 (0.263)	Data 0.133 (0.199)	Loss 2.6003 (2.5716)	Prec@1 39.453 (37.858)	Prec@5 65.625 (67.668)
Epoch: [72][3500/7045]	Time 0.216 (0.263)	Data 0.166 (0.199)	Loss 2.5426 (2.5714)	Prec@1 37.500 (37.862)	Prec@5 69.141 (67.672)
Epoch: [72][3510/7045]	Time 0.427 (0.263)	Data 0.376 (0.199)	Loss 2.4822 (2.5712)	Prec@1 39.844 (37.864)	Prec@5 69.922 (67.676)
Epoch: [72][3520/7045]	Time 0.145 (0.262)	Data 0.093 (0.199)	Loss 2.5759 (2.5711)	Prec@1 34.766 (37.865)	Prec@5 69.141 (67.677)
Epoch: [72][3530/7045]	Time 0.203 (0.263)	Data 0.152 (0.199)	Loss 2.5158 (2.5711)	Prec@1 37.891 (37.867)	Prec@5 70.312 (67.675)
Epoch: [72][3540/7045]	Time 0.102 (0.262)	Data 0.001 (0.199)	Loss 2.3830 (2.5712)	Prec@1 41.016 (37.866)	Prec@5 68.750 (67.670)
Epoch: [72][3550/7045]	Time 0.119 (0.262)	Data 0.059 (0.199)	Loss 2.5249 (2.5713)	Prec@1 38.281 (37.864)	Prec@5 68.359 (67.669)
Epoch: [72][3560/7045]	Time 0.164 (0.262)	Data 0.112 (0.199)	Loss 2.6179 (2.5711)	Prec@1 35.547 (37.868)	Prec@5 67.578 (67.671)
Epoch: [72][3570/7045]	Time 0.170 (0.262)	Data 0.119 (0.199)	Loss 2.4089 (2.5711)	Prec@1 40.625 (37.867)	Prec@5 72.656 (67.674)
Epoch: [72][3580/7045]	Time 0.166 (0.262)	Data 0.116 (0.199)	Loss 2.5166 (2.5712)	Prec@1 35.938 (37.864)	Prec@5 68.750 (67.674)
Epoch: [72][3590/7045]	Time 0.488 (0.262)	Data 0.437 (0.199)	Loss 2.5512 (2.5713)	Prec@1 36.719 (37.865)	Prec@5 68.750 (67.673)
Epoch: [72][3600/7045]	Time 0.126 (0.262)	Data 0.075 (0.199)	Loss 2.7863 (2.5711)	Prec@1 32.812 (37.869)	Prec@5 63.281 (67.678)
Epoch: [72][3610/7045]	Time 0.461 (0.262)	Data 0.409 (0.199)	Loss 2.6901 (2.5713)	Prec@1 34.766 (37.866)	Prec@5 68.750 (67.679)
Epoch: [72][3620/7045]	Time 0.181 (0.262)	Data 0.131 (0.199)	Loss 2.4510 (2.5710)	Prec@1 41.406 (37.872)	Prec@5 70.312 (67.683)
Epoch: [72][3630/7045]	Time 0.577 (0.262)	Data 0.527 (0.199)	Loss 2.5518 (2.5709)	Prec@1 37.109 (37.876)	Prec@5 65.625 (67.685)
Epoch: [72][3640/7045]	Time 0.109 (0.262)	Data 0.022 (0.199)	Loss 2.4537 (2.5710)	Prec@1 37.891 (37.874)	Prec@5 72.266 (67.685)
Epoch: [72][3650/7045]	Time 0.264 (0.262)	Data 0.212 (0.198)	Loss 2.3811 (2.5710)	Prec@1 41.016 (37.875)	Prec@5 73.047 (67.685)
Epoch: [72][3660/7045]	Time 0.211 (0.262)	Data 0.161 (0.199)	Loss 2.6398 (2.5710)	Prec@1 35.938 (37.875)	Prec@5 66.406 (67.686)
Epoch: [72][3670/7045]	Time 0.133 (0.262)	Data 0.081 (0.198)	Loss 2.3410 (2.5711)	Prec@1 44.922 (37.877)	Prec@5 71.094 (67.686)
Epoch: [72][3680/7045]	Time 0.118 (0.262)	Data 0.067 (0.198)	Loss 2.5667 (2.5710)	Prec@1 35.156 (37.876)	Prec@5 66.016 (67.685)
Epoch: [72][3690/7045]	Time 0.103 (0.262)	Data 0.001 (0.198)	Loss 2.8229 (2.5709)	Prec@1 32.812 (37.878)	Prec@5 62.109 (67.685)
Epoch: [72][3700/7045]	Time 0.257 (0.262)	Data 0.205 (0.198)	Loss 2.7618 (2.5709)	Prec@1 33.594 (37.877)	Prec@5 62.500 (67.687)
Epoch: [72][3710/7045]	Time 0.101 (0.262)	Data 0.010 (0.198)	Loss 2.6532 (2.5709)	Prec@1 41.016 (37.878)	Prec@5 66.797 (67.689)
Epoch: [72][3720/7045]	Time 0.503 (0.262)	Data 0.444 (0.198)	Loss 2.3900 (2.5708)	Prec@1 40.234 (37.878)	Prec@5 69.922 (67.691)
Epoch: [72][3730/7045]	Time 0.118 (0.262)	Data 0.068 (0.198)	Loss 2.4937 (2.5709)	Prec@1 38.672 (37.877)	Prec@5 69.531 (67.690)
Epoch: [72][3740/7045]	Time 0.535 (0.262)	Data 0.484 (0.198)	Loss 2.6788 (2.5708)	Prec@1 36.719 (37.878)	Prec@5 64.062 (67.690)
Epoch: [72][3750/7045]	Time 0.102 (0.262)	Data 0.001 (0.198)	Loss 2.6664 (2.5708)	Prec@1 39.062 (37.877)	Prec@5 66.406 (67.691)
Epoch: [72][3760/7045]	Time 0.551 (0.262)	Data 0.499 (0.198)	Loss 2.3301 (2.5707)	Prec@1 40.625 (37.879)	Prec@5 75.000 (67.692)
Epoch: [72][3770/7045]	Time 0.103 (0.262)	Data 0.021 (0.198)	Loss 2.5259 (2.5708)	Prec@1 37.109 (37.873)	Prec@5 68.750 (67.692)
Epoch: [72][3780/7045]	Time 0.251 (0.262)	Data 0.199 (0.198)	Loss 2.4025 (2.5709)	Prec@1 42.969 (37.871)	Prec@5 73.438 (67.692)
Epoch: [72][3790/7045]	Time 0.103 (0.262)	Data 0.007 (0.198)	Loss 2.5873 (2.5708)	Prec@1 35.938 (37.869)	Prec@5 69.141 (67.693)
Epoch: [72][3800/7045]	Time 0.102 (0.262)	Data 0.001 (0.198)	Loss 2.4223 (2.5708)	Prec@1 37.109 (37.870)	Prec@5 70.703 (67.693)
Epoch: [72][3810/7045]	Time 0.467 (0.262)	Data 0.417 (0.198)	Loss 2.5427 (2.5708)	Prec@1 36.328 (37.868)	Prec@5 70.312 (67.693)
Epoch: [72][3820/7045]	Time 0.587 (0.262)	Data 0.536 (0.198)	Loss 2.4411 (2.5708)	Prec@1 39.844 (37.869)	Prec@5 70.703 (67.694)
Epoch: [72][3830/7045]	Time 0.154 (0.261)	Data 0.103 (0.198)	Loss 2.3780 (2.5707)	Prec@1 42.188 (37.874)	Prec@5 69.922 (67.695)
Epoch: [72][3840/7045]	Time 0.111 (0.262)	Data 0.001 (0.198)	Loss 2.6618 (2.5706)	Prec@1 32.812 (37.873)	Prec@5 67.188 (67.695)
Epoch: [72][3850/7045]	Time 0.102 (0.261)	Data 0.009 (0.198)	Loss 2.4892 (2.5706)	Prec@1 36.719 (37.873)	Prec@5 67.188 (67.696)
Epoch: [72][3860/7045]	Time 0.357 (0.262)	Data 0.306 (0.198)	Loss 2.7298 (2.5707)	Prec@1 35.156 (37.875)	Prec@5 62.500 (67.695)
Epoch: [72][3870/7045]	Time 0.101 (0.262)	Data 0.004 (0.198)	Loss 2.7117 (2.5707)	Prec@1 34.375 (37.872)	Prec@5 59.766 (67.692)
Epoch: [72][3880/7045]	Time 0.519 (0.261)	Data 0.468 (0.198)	Loss 2.6329 (2.5706)	Prec@1 40.625 (37.875)	Prec@5 66.797 (67.693)
Epoch: [72][3890/7045]	Time 0.150 (0.261)	Data 0.091 (0.198)	Loss 2.4382 (2.5705)	Prec@1 39.453 (37.876)	Prec@5 71.094 (67.696)
Epoch: [72][3900/7045]	Time 0.704 (0.262)	Data 0.652 (0.198)	Loss 2.5345 (2.5704)	Prec@1 38.672 (37.877)	Prec@5 67.578 (67.699)
Epoch: [72][3910/7045]	Time 0.103 (0.261)	Data 0.001 (0.198)	Loss 2.7329 (2.5704)	Prec@1 33.984 (37.880)	Prec@5 64.453 (67.700)
Epoch: [72][3920/7045]	Time 0.110 (0.261)	Data 0.006 (0.198)	Loss 2.7328 (2.5702)	Prec@1 34.375 (37.882)	Prec@5 65.625 (67.704)
Epoch: [72][3930/7045]	Time 0.444 (0.261)	Data 0.393 (0.198)	Loss 2.6298 (2.5702)	Prec@1 37.891 (37.884)	Prec@5 63.672 (67.704)
Epoch: [72][3940/7045]	Time 0.360 (0.261)	Data 0.309 (0.198)	Loss 2.6654 (2.5703)	Prec@1 39.062 (37.884)	Prec@5 65.625 (67.702)
Epoch: [72][3950/7045]	Time 0.108 (0.261)	Data 0.042 (0.198)	Loss 2.5803 (2.5702)	Prec@1 38.672 (37.883)	Prec@5 69.141 (67.702)
Epoch: [72][3960/7045]	Time 0.800 (0.261)	Data 0.745 (0.198)	Loss 2.6219 (2.5702)	Prec@1 37.891 (37.882)	Prec@5 65.625 (67.700)
Epoch: [72][3970/7045]	Time 0.182 (0.261)	Data 0.131 (0.198)	Loss 2.4035 (2.5703)	Prec@1 44.531 (37.882)	Prec@5 71.484 (67.700)
Epoch: [72][3980/7045]	Time 0.097 (0.261)	Data 0.045 (0.198)	Loss 2.7201 (2.5700)	Prec@1 33.594 (37.888)	Prec@5 63.672 (67.706)
Epoch: [72][3990/7045]	Time 0.130 (0.261)	Data 0.078 (0.198)	Loss 2.6349 (2.5701)	Prec@1 39.062 (37.888)	Prec@5 65.234 (67.705)
Epoch: [72][4000/7045]	Time 0.105 (0.261)	Data 0.054 (0.198)	Loss 2.6858 (2.5701)	Prec@1 37.500 (37.888)	Prec@5 64.844 (67.705)
Epoch: [72][4010/7045]	Time 0.112 (0.261)	Data 0.001 (0.198)	Loss 2.5066 (2.5702)	Prec@1 39.844 (37.887)	Prec@5 69.531 (67.705)
Epoch: [72][4020/7045]	Time 0.111 (0.261)	Data 0.060 (0.198)	Loss 2.4202 (2.5701)	Prec@1 40.625 (37.888)	Prec@5 72.266 (67.707)
Epoch: [72][4030/7045]	Time 0.194 (0.261)	Data 0.144 (0.198)	Loss 2.4003 (2.5699)	Prec@1 40.625 (37.890)	Prec@5 73.828 (67.712)
Epoch: [72][4040/7045]	Time 0.266 (0.261)	Data 0.215 (0.198)	Loss 2.6418 (2.5701)	Prec@1 38.672 (37.891)	Prec@5 66.797 (67.710)
Epoch: [72][4050/7045]	Time 0.322 (0.261)	Data 0.271 (0.198)	Loss 2.6964 (2.5701)	Prec@1 36.328 (37.893)	Prec@5 65.234 (67.707)
Epoch: [72][4060/7045]	Time 0.215 (0.261)	Data 0.164 (0.198)	Loss 2.4947 (2.5701)	Prec@1 37.109 (37.892)	Prec@5 69.531 (67.707)
Epoch: [72][4070/7045]	Time 0.540 (0.261)	Data 0.488 (0.198)	Loss 2.4904 (2.5701)	Prec@1 39.453 (37.893)	Prec@5 67.188 (67.707)
Epoch: [72][4080/7045]	Time 0.105 (0.261)	Data 0.053 (0.198)	Loss 2.6016 (2.5701)	Prec@1 36.328 (37.893)	Prec@5 66.797 (67.705)
Epoch: [72][4090/7045]	Time 0.153 (0.261)	Data 0.103 (0.198)	Loss 2.5698 (2.5703)	Prec@1 39.453 (37.893)	Prec@5 68.750 (67.703)
Epoch: [72][4100/7045]	Time 0.203 (0.261)	Data 0.146 (0.198)	Loss 2.5671 (2.5702)	Prec@1 35.547 (37.892)	Prec@5 67.969 (67.704)
Epoch: [72][4110/7045]	Time 0.617 (0.261)	Data 0.568 (0.198)	Loss 2.4063 (2.5703)	Prec@1 40.625 (37.891)	Prec@5 70.312 (67.704)
Epoch: [72][4120/7045]	Time 0.171 (0.261)	Data 0.120 (0.198)	Loss 2.4806 (2.5703)	Prec@1 37.891 (37.886)	Prec@5 69.141 (67.705)
Epoch: [72][4130/7045]	Time 0.511 (0.261)	Data 0.460 (0.198)	Loss 2.6641 (2.5703)	Prec@1 32.422 (37.887)	Prec@5 67.578 (67.704)
Epoch: [72][4140/7045]	Time 0.113 (0.261)	Data 0.001 (0.198)	Loss 2.6144 (2.5702)	Prec@1 37.109 (37.892)	Prec@5 66.406 (67.708)
Epoch: [72][4150/7045]	Time 0.580 (0.261)	Data 0.528 (0.198)	Loss 2.6897 (2.5702)	Prec@1 35.938 (37.890)	Prec@5 64.453 (67.709)
Epoch: [72][4160/7045]	Time 0.173 (0.261)	Data 0.122 (0.198)	Loss 2.3811 (2.5702)	Prec@1 42.188 (37.891)	Prec@5 71.875 (67.709)
Epoch: [72][4170/7045]	Time 0.111 (0.261)	Data 0.017 (0.198)	Loss 2.5963 (2.5701)	Prec@1 33.594 (37.893)	Prec@5 68.750 (67.714)
Epoch: [72][4180/7045]	Time 0.434 (0.261)	Data 0.383 (0.198)	Loss 2.4313 (2.5700)	Prec@1 40.234 (37.897)	Prec@5 71.875 (67.715)
Epoch: [72][4190/7045]	Time 0.153 (0.261)	Data 0.092 (0.198)	Loss 2.5537 (2.5699)	Prec@1 40.234 (37.900)	Prec@5 69.922 (67.717)
Epoch: [72][4200/7045]	Time 0.430 (0.261)	Data 0.379 (0.198)	Loss 2.4599 (2.5699)	Prec@1 41.406 (37.898)	Prec@5 71.484 (67.718)
Epoch: [72][4210/7045]	Time 0.315 (0.261)	Data 0.265 (0.198)	Loss 2.5542 (2.5698)	Prec@1 37.109 (37.900)	Prec@5 66.406 (67.718)
Epoch: [72][4220/7045]	Time 0.101 (0.261)	Data 0.001 (0.198)	Loss 2.2936 (2.5696)	Prec@1 48.047 (37.907)	Prec@5 77.344 (67.725)
Epoch: [72][4230/7045]	Time 0.175 (0.261)	Data 0.123 (0.198)	Loss 2.7172 (2.5696)	Prec@1 31.250 (37.904)	Prec@5 65.625 (67.725)
Epoch: [72][4240/7045]	Time 0.190 (0.261)	Data 0.140 (0.198)	Loss 2.5210 (2.5696)	Prec@1 37.891 (37.902)	Prec@5 70.312 (67.727)
Epoch: [72][4250/7045]	Time 0.111 (0.261)	Data 0.060 (0.198)	Loss 2.5454 (2.5696)	Prec@1 39.844 (37.903)	Prec@5 68.359 (67.727)
Epoch: [72][4260/7045]	Time 0.387 (0.261)	Data 0.334 (0.198)	Loss 2.5873 (2.5695)	Prec@1 35.156 (37.902)	Prec@5 69.141 (67.730)
Epoch: [72][4270/7045]	Time 0.456 (0.261)	Data 0.405 (0.198)	Loss 2.6503 (2.5694)	Prec@1 31.641 (37.903)	Prec@5 66.016 (67.733)
Epoch: [72][4280/7045]	Time 0.191 (0.261)	Data 0.140 (0.198)	Loss 2.5436 (2.5694)	Prec@1 37.109 (37.901)	Prec@5 72.656 (67.733)
Epoch: [72][4290/7045]	Time 0.736 (0.261)	Data 0.684 (0.198)	Loss 2.6272 (2.5694)	Prec@1 37.109 (37.903)	Prec@5 67.188 (67.733)
Epoch: [72][4300/7045]	Time 0.101 (0.261)	Data 0.008 (0.198)	Loss 2.4792 (2.5694)	Prec@1 35.156 (37.901)	Prec@5 66.797 (67.736)
Epoch: [72][4310/7045]	Time 0.102 (0.261)	Data 0.050 (0.198)	Loss 2.5289 (2.5694)	Prec@1 36.328 (37.899)	Prec@5 71.094 (67.735)
Epoch: [72][4320/7045]	Time 0.172 (0.261)	Data 0.113 (0.198)	Loss 2.4038 (2.5693)	Prec@1 43.750 (37.902)	Prec@5 69.141 (67.738)
Epoch: [72][4330/7045]	Time 0.107 (0.261)	Data 0.055 (0.198)	Loss 2.5154 (2.5692)	Prec@1 39.062 (37.905)	Prec@5 69.922 (67.738)
Epoch: [72][4340/7045]	Time 0.313 (0.261)	Data 0.263 (0.198)	Loss 2.5366 (2.5693)	Prec@1 39.453 (37.905)	Prec@5 67.188 (67.734)
Epoch: [72][4350/7045]	Time 0.187 (0.261)	Data 0.136 (0.198)	Loss 2.6381 (2.5694)	Prec@1 41.016 (37.906)	Prec@5 65.625 (67.733)
Epoch: [72][4360/7045]	Time 0.464 (0.261)	Data 0.413 (0.198)	Loss 2.6361 (2.5695)	Prec@1 37.500 (37.903)	Prec@5 67.578 (67.731)
Epoch: [72][4370/7045]	Time 0.103 (0.261)	Data 0.001 (0.198)	Loss 2.8235 (2.5696)	Prec@1 39.453 (37.902)	Prec@5 62.891 (67.729)
Epoch: [72][4380/7045]	Time 0.122 (0.261)	Data 0.065 (0.198)	Loss 2.6416 (2.5696)	Prec@1 35.938 (37.906)	Prec@5 68.750 (67.730)
Epoch: [72][4390/7045]	Time 0.734 (0.261)	Data 0.681 (0.198)	Loss 2.5208 (2.5696)	Prec@1 37.500 (37.907)	Prec@5 68.750 (67.729)
Epoch: [72][4400/7045]	Time 0.102 (0.261)	Data 0.001 (0.198)	Loss 2.6967 (2.5696)	Prec@1 34.766 (37.909)	Prec@5 65.625 (67.729)
Epoch: [72][4410/7045]	Time 0.260 (0.261)	Data 0.210 (0.198)	Loss 2.4123 (2.5696)	Prec@1 44.141 (37.908)	Prec@5 71.875 (67.729)
Epoch: [72][4420/7045]	Time 0.134 (0.261)	Data 0.081 (0.198)	Loss 2.3128 (2.5696)	Prec@1 42.578 (37.909)	Prec@5 73.828 (67.729)
Epoch: [72][4430/7045]	Time 0.232 (0.261)	Data 0.181 (0.198)	Loss 2.4354 (2.5694)	Prec@1 42.969 (37.909)	Prec@5 69.922 (67.733)
Epoch: [72][4440/7045]	Time 0.364 (0.261)	Data 0.312 (0.198)	Loss 2.5292 (2.5693)	Prec@1 37.500 (37.912)	Prec@5 66.797 (67.734)
Epoch: [72][4450/7045]	Time 0.520 (0.261)	Data 0.467 (0.198)	Loss 2.6786 (2.5695)	Prec@1 36.328 (37.911)	Prec@5 66.797 (67.732)
Epoch: [72][4460/7045]	Time 0.234 (0.261)	Data 0.184 (0.198)	Loss 2.6352 (2.5695)	Prec@1 37.109 (37.911)	Prec@5 67.578 (67.730)
Epoch: [72][4470/7045]	Time 0.491 (0.261)	Data 0.439 (0.198)	Loss 2.6039 (2.5694)	Prec@1 35.938 (37.913)	Prec@5 66.406 (67.732)
Epoch: [72][4480/7045]	Time 0.114 (0.261)	Data 0.062 (0.198)	Loss 2.3287 (2.5695)	Prec@1 40.234 (37.911)	Prec@5 74.219 (67.729)
Epoch: [72][4490/7045]	Time 0.504 (0.261)	Data 0.453 (0.198)	Loss 2.5035 (2.5695)	Prec@1 37.891 (37.914)	Prec@5 68.750 (67.727)
Epoch: [72][4500/7045]	Time 0.102 (0.261)	Data 0.001 (0.198)	Loss 2.5740 (2.5695)	Prec@1 38.672 (37.914)	Prec@5 67.578 (67.728)
Epoch: [72][4510/7045]	Time 0.101 (0.261)	Data 0.046 (0.198)	Loss 2.5433 (2.5693)	Prec@1 44.141 (37.917)	Prec@5 66.406 (67.730)
Epoch: [72][4520/7045]	Time 0.461 (0.261)	Data 0.410 (0.198)	Loss 2.4583 (2.5693)	Prec@1 37.891 (37.917)	Prec@5 69.922 (67.730)
Epoch: [72][4530/7045]	Time 0.122 (0.261)	Data 0.071 (0.198)	Loss 2.5226 (2.5693)	Prec@1 38.281 (37.918)	Prec@5 69.531 (67.731)
Epoch: [72][4540/7045]	Time 0.559 (0.261)	Data 0.507 (0.198)	Loss 2.6223 (2.5692)	Prec@1 34.375 (37.921)	Prec@5 67.969 (67.736)
Epoch: [72][4550/7045]	Time 0.104 (0.261)	Data 0.001 (0.198)	Loss 2.5367 (2.5691)	Prec@1 37.500 (37.923)	Prec@5 67.969 (67.734)
Epoch: [72][4560/7045]	Time 0.528 (0.261)	Data 0.477 (0.198)	Loss 2.4572 (2.5691)	Prec@1 44.922 (37.923)	Prec@5 71.094 (67.736)
Epoch: [72][4570/7045]	Time 0.101 (0.261)	Data 0.001 (0.198)	Loss 2.4656 (2.5692)	Prec@1 42.969 (37.924)	Prec@5 69.922 (67.737)
Epoch: [72][4580/7045]	Time 0.438 (0.261)	Data 0.387 (0.198)	Loss 2.4988 (2.5694)	Prec@1 35.938 (37.921)	Prec@5 67.188 (67.734)
Epoch: [72][4590/7045]	Time 0.305 (0.261)	Data 0.253 (0.198)	Loss 2.6578 (2.5693)	Prec@1 35.156 (37.922)	Prec@5 64.844 (67.734)
Epoch: [72][4600/7045]	Time 0.406 (0.261)	Data 0.355 (0.198)	Loss 2.5531 (2.5693)	Prec@1 38.672 (37.925)	Prec@5 66.016 (67.736)
Epoch: [72][4610/7045]	Time 0.202 (0.261)	Data 0.152 (0.198)	Loss 2.5013 (2.5693)	Prec@1 35.156 (37.923)	Prec@5 67.188 (67.737)
Epoch: [72][4620/7045]	Time 0.103 (0.261)	Data 0.001 (0.198)	Loss 2.7261 (2.5693)	Prec@1 31.250 (37.922)	Prec@5 65.625 (67.736)
Epoch: [72][4630/7045]	Time 0.101 (0.261)	Data 0.046 (0.198)	Loss 2.4966 (2.5692)	Prec@1 37.500 (37.923)	Prec@5 71.094 (67.737)
Epoch: [72][4640/7045]	Time 0.365 (0.261)	Data 0.313 (0.198)	Loss 2.6544 (2.5691)	Prec@1 37.500 (37.925)	Prec@5 65.625 (67.737)
Epoch: [72][4650/7045]	Time 0.240 (0.261)	Data 0.188 (0.198)	Loss 2.6253 (2.5692)	Prec@1 35.547 (37.925)	Prec@5 67.969 (67.737)
Epoch: [72][4660/7045]	Time 0.473 (0.261)	Data 0.422 (0.198)	Loss 2.5793 (2.5692)	Prec@1 40.625 (37.924)	Prec@5 65.234 (67.733)
Epoch: [72][4670/7045]	Time 0.198 (0.261)	Data 0.147 (0.198)	Loss 2.4909 (2.5692)	Prec@1 37.109 (37.919)	Prec@5 71.484 (67.733)
Epoch: [72][4680/7045]	Time 0.271 (0.261)	Data 0.221 (0.198)	Loss 2.4412 (2.5692)	Prec@1 40.625 (37.918)	Prec@5 70.703 (67.732)
Epoch: [72][4690/7045]	Time 0.102 (0.261)	Data 0.001 (0.198)	Loss 2.4956 (2.5691)	Prec@1 39.844 (37.920)	Prec@5 67.578 (67.734)
Epoch: [72][4700/7045]	Time 0.155 (0.261)	Data 0.103 (0.198)	Loss 2.7882 (2.5691)	Prec@1 35.156 (37.921)	Prec@5 64.453 (67.733)
Epoch: [72][4710/7045]	Time 0.240 (0.261)	Data 0.190 (0.198)	Loss 2.4465 (2.5691)	Prec@1 42.578 (37.922)	Prec@5 69.141 (67.735)
Epoch: [72][4720/7045]	Time 0.101 (0.261)	Data 0.002 (0.198)	Loss 2.5843 (2.5690)	Prec@1 36.719 (37.924)	Prec@5 69.141 (67.736)
Epoch: [72][4730/7045]	Time 0.283 (0.261)	Data 0.232 (0.198)	Loss 2.5280 (2.5691)	Prec@1 39.844 (37.923)	Prec@5 66.797 (67.737)
Epoch: [72][4740/7045]	Time 0.109 (0.261)	Data 0.009 (0.198)	Loss 2.4383 (2.5691)	Prec@1 40.234 (37.922)	Prec@5 71.094 (67.737)
Epoch: [72][4750/7045]	Time 0.511 (0.261)	Data 0.459 (0.198)	Loss 2.4911 (2.5691)	Prec@1 41.406 (37.923)	Prec@5 69.141 (67.736)
Epoch: [72][4760/7045]	Time 0.242 (0.261)	Data 0.192 (0.198)	Loss 2.2972 (2.5692)	Prec@1 42.969 (37.921)	Prec@5 74.609 (67.736)
Epoch: [72][4770/7045]	Time 0.155 (0.261)	Data 0.104 (0.198)	Loss 2.2950 (2.5691)	Prec@1 38.672 (37.919)	Prec@5 72.656 (67.734)
Epoch: [72][4780/7045]	Time 0.511 (0.261)	Data 0.460 (0.198)	Loss 2.4242 (2.5692)	Prec@1 42.188 (37.919)	Prec@5 69.922 (67.735)
Epoch: [72][4790/7045]	Time 0.102 (0.261)	Data 0.011 (0.198)	Loss 2.4903 (2.5690)	Prec@1 39.453 (37.919)	Prec@5 69.141 (67.736)
Epoch: [72][4800/7045]	Time 0.418 (0.261)	Data 0.368 (0.198)	Loss 2.5561 (2.5692)	Prec@1 36.328 (37.916)	Prec@5 66.797 (67.734)
Epoch: [72][4810/7045]	Time 0.102 (0.261)	Data 0.001 (0.198)	Loss 2.3883 (2.5693)	Prec@1 43.359 (37.913)	Prec@5 71.875 (67.732)
Epoch: [72][4820/7045]	Time 0.548 (0.261)	Data 0.497 (0.198)	Loss 2.4590 (2.5693)	Prec@1 42.969 (37.913)	Prec@5 69.141 (67.731)
Epoch: [72][4830/7045]	Time 0.104 (0.261)	Data 0.001 (0.198)	Loss 2.6180 (2.5692)	Prec@1 34.375 (37.914)	Prec@5 66.406 (67.732)
Epoch: [72][4840/7045]	Time 0.667 (0.261)	Data 0.615 (0.198)	Loss 2.5140 (2.5692)	Prec@1 39.062 (37.913)	Prec@5 67.578 (67.733)
Epoch: [72][4850/7045]	Time 0.319 (0.261)	Data 0.268 (0.198)	Loss 2.3364 (2.5692)	Prec@1 42.969 (37.913)	Prec@5 72.656 (67.733)
Epoch: [72][4860/7045]	Time 0.528 (0.261)	Data 0.477 (0.198)	Loss 2.5979 (2.5692)	Prec@1 39.453 (37.913)	Prec@5 64.844 (67.733)
Epoch: [72][4870/7045]	Time 0.128 (0.261)	Data 0.076 (0.198)	Loss 2.4582 (2.5691)	Prec@1 41.797 (37.914)	Prec@5 71.875 (67.736)
Epoch: [72][4880/7045]	Time 0.365 (0.261)	Data 0.313 (0.198)	Loss 2.8165 (2.5691)	Prec@1 35.547 (37.912)	Prec@5 63.672 (67.735)
Epoch: [72][4890/7045]	Time 0.148 (0.261)	Data 0.096 (0.198)	Loss 2.4613 (2.5691)	Prec@1 38.281 (37.913)	Prec@5 70.703 (67.738)
Epoch: [72][4900/7045]	Time 0.367 (0.261)	Data 0.316 (0.198)	Loss 2.4864 (2.5690)	Prec@1 40.234 (37.911)	Prec@5 67.578 (67.737)
Epoch: [72][4910/7045]	Time 0.133 (0.261)	Data 0.081 (0.197)	Loss 2.6751 (2.5691)	Prec@1 37.109 (37.913)	Prec@5 68.750 (67.739)
Epoch: [72][4920/7045]	Time 0.348 (0.261)	Data 0.298 (0.197)	Loss 2.5151 (2.5691)	Prec@1 38.281 (37.913)	Prec@5 67.578 (67.737)
Epoch: [72][4930/7045]	Time 0.102 (0.261)	Data 0.007 (0.197)	Loss 2.3913 (2.5690)	Prec@1 42.188 (37.912)	Prec@5 70.312 (67.740)
Epoch: [72][4940/7045]	Time 0.594 (0.261)	Data 0.544 (0.197)	Loss 2.7740 (2.5690)	Prec@1 31.250 (37.909)	Prec@5 67.188 (67.741)
Epoch: [72][4950/7045]	Time 0.379 (0.261)	Data 0.327 (0.197)	Loss 2.5560 (2.5690)	Prec@1 39.062 (37.912)	Prec@5 66.016 (67.741)
Epoch: [72][4960/7045]	Time 0.282 (0.261)	Data 0.231 (0.197)	Loss 2.5649 (2.5689)	Prec@1 41.016 (37.916)	Prec@5 68.359 (67.743)
Epoch: [72][4970/7045]	Time 0.101 (0.261)	Data 0.011 (0.197)	Loss 2.7390 (2.5689)	Prec@1 35.156 (37.915)	Prec@5 65.625 (67.743)
Epoch: [72][4980/7045]	Time 0.605 (0.261)	Data 0.554 (0.197)	Loss 2.4657 (2.5688)	Prec@1 41.406 (37.918)	Prec@5 70.703 (67.745)
Epoch: [72][4990/7045]	Time 0.102 (0.261)	Data 0.001 (0.197)	Loss 2.6660 (2.5689)	Prec@1 31.250 (37.913)	Prec@5 67.578 (67.742)
Epoch: [72][5000/7045]	Time 0.475 (0.261)	Data 0.425 (0.197)	Loss 2.6061 (2.5688)	Prec@1 34.766 (37.915)	Prec@5 68.750 (67.744)
Epoch: [72][5010/7045]	Time 0.158 (0.261)	Data 0.106 (0.197)	Loss 2.6152 (2.5687)	Prec@1 37.891 (37.916)	Prec@5 63.672 (67.746)
Epoch: [72][5020/7045]	Time 0.104 (0.261)	Data 0.052 (0.197)	Loss 2.6012 (2.5688)	Prec@1 37.500 (37.913)	Prec@5 65.625 (67.744)
Epoch: [72][5030/7045]	Time 0.102 (0.261)	Data 0.032 (0.197)	Loss 2.3107 (2.5688)	Prec@1 43.750 (37.912)	Prec@5 71.094 (67.744)
Epoch: [72][5040/7045]	Time 0.147 (0.261)	Data 0.094 (0.197)	Loss 2.4634 (2.5689)	Prec@1 40.234 (37.909)	Prec@5 72.266 (67.741)
Epoch: [72][5050/7045]	Time 0.136 (0.261)	Data 0.076 (0.197)	Loss 2.6902 (2.5690)	Prec@1 32.812 (37.908)	Prec@5 67.578 (67.740)
Epoch: [72][5060/7045]	Time 0.102 (0.261)	Data 0.001 (0.197)	Loss 2.3712 (2.5689)	Prec@1 44.141 (37.910)	Prec@5 71.484 (67.742)
Epoch: [72][5070/7045]	Time 0.134 (0.261)	Data 0.075 (0.197)	Loss 2.4756 (2.5690)	Prec@1 39.062 (37.908)	Prec@5 69.531 (67.741)
Epoch: [72][5080/7045]	Time 0.100 (0.261)	Data 0.001 (0.197)	Loss 2.6007 (2.5690)	Prec@1 39.062 (37.908)	Prec@5 69.531 (67.742)
Epoch: [72][5090/7045]	Time 0.263 (0.261)	Data 0.211 (0.197)	Loss 2.6482 (2.5691)	Prec@1 37.109 (37.907)	Prec@5 66.406 (67.740)
Epoch: [72][5100/7045]	Time 0.122 (0.261)	Data 0.069 (0.197)	Loss 2.7168 (2.5692)	Prec@1 38.672 (37.905)	Prec@5 66.016 (67.738)
Epoch: [72][5110/7045]	Time 0.160 (0.261)	Data 0.109 (0.197)	Loss 2.4059 (2.5693)	Prec@1 30.469 (37.901)	Prec@5 71.875 (67.737)
Epoch: [72][5120/7045]	Time 0.101 (0.261)	Data 0.048 (0.197)	Loss 2.4720 (2.5694)	Prec@1 36.719 (37.898)	Prec@5 71.094 (67.735)
Epoch: [72][5130/7045]	Time 0.101 (0.261)	Data 0.014 (0.197)	Loss 2.6448 (2.5695)	Prec@1 35.156 (37.896)	Prec@5 63.672 (67.733)
Epoch: [72][5140/7045]	Time 0.102 (0.261)	Data 0.001 (0.197)	Loss 2.6701 (2.5695)	Prec@1 38.281 (37.895)	Prec@5 64.453 (67.732)
Epoch: [72][5150/7045]	Time 0.167 (0.261)	Data 0.115 (0.197)	Loss 2.3906 (2.5696)	Prec@1 36.328 (37.892)	Prec@5 74.219 (67.733)
Epoch: [72][5160/7045]	Time 0.106 (0.261)	Data 0.055 (0.197)	Loss 2.6033 (2.5697)	Prec@1 38.672 (37.891)	Prec@5 65.625 (67.732)
Epoch: [72][5170/7045]	Time 0.109 (0.261)	Data 0.058 (0.197)	Loss 2.5193 (2.5696)	Prec@1 39.453 (37.892)	Prec@5 67.578 (67.735)
Epoch: [72][5180/7045]	Time 0.112 (0.261)	Data 0.059 (0.197)	Loss 2.5255 (2.5696)	Prec@1 37.891 (37.894)	Prec@5 67.188 (67.735)
Epoch: [72][5190/7045]	Time 0.318 (0.261)	Data 0.267 (0.197)	Loss 2.3199 (2.5695)	Prec@1 45.703 (37.895)	Prec@5 73.047 (67.738)
Epoch: [72][5200/7045]	Time 0.299 (0.261)	Data 0.248 (0.197)	Loss 2.6204 (2.5696)	Prec@1 37.891 (37.895)	Prec@5 66.016 (67.739)
Epoch: [72][5210/7045]	Time 0.109 (0.261)	Data 0.056 (0.197)	Loss 2.4907 (2.5696)	Prec@1 39.844 (37.895)	Prec@5 69.531 (67.737)
Epoch: [72][5220/7045]	Time 0.637 (0.261)	Data 0.579 (0.197)	Loss 2.5360 (2.5697)	Prec@1 42.188 (37.897)	Prec@5 70.312 (67.734)
Epoch: [72][5230/7045]	Time 0.478 (0.261)	Data 0.427 (0.197)	Loss 2.3515 (2.5697)	Prec@1 41.406 (37.895)	Prec@5 73.828 (67.735)
Epoch: [72][5240/7045]	Time 0.327 (0.261)	Data 0.275 (0.197)	Loss 2.6409 (2.5697)	Prec@1 37.500 (37.896)	Prec@5 66.406 (67.734)
Epoch: [72][5250/7045]	Time 0.098 (0.261)	Data 0.001 (0.197)	Loss 2.5581 (2.5696)	Prec@1 35.938 (37.899)	Prec@5 66.406 (67.735)
Epoch: [72][5260/7045]	Time 0.102 (0.261)	Data 0.001 (0.197)	Loss 2.5912 (2.5697)	Prec@1 35.547 (37.899)	Prec@5 69.141 (67.734)
Epoch: [72][5270/7045]	Time 0.102 (0.261)	Data 0.009 (0.197)	Loss 2.6898 (2.5696)	Prec@1 35.156 (37.899)	Prec@5 68.750 (67.736)
Epoch: [72][5280/7045]	Time 0.102 (0.261)	Data 0.012 (0.197)	Loss 2.3469 (2.5695)	Prec@1 42.969 (37.899)	Prec@5 71.094 (67.738)
Epoch: [72][5290/7045]	Time 0.103 (0.261)	Data 0.001 (0.197)	Loss 2.4405 (2.5694)	Prec@1 38.281 (37.901)	Prec@5 74.609 (67.741)
Epoch: [72][5300/7045]	Time 0.161 (0.261)	Data 0.111 (0.197)	Loss 2.5599 (2.5694)	Prec@1 35.156 (37.902)	Prec@5 67.969 (67.742)
Epoch: [72][5310/7045]	Time 0.156 (0.261)	Data 0.105 (0.197)	Loss 2.6414 (2.5693)	Prec@1 33.984 (37.903)	Prec@5 63.672 (67.742)
Epoch: [72][5320/7045]	Time 0.328 (0.261)	Data 0.270 (0.197)	Loss 2.4263 (2.5694)	Prec@1 41.406 (37.904)	Prec@5 69.922 (67.741)
Epoch: [72][5330/7045]	Time 0.101 (0.261)	Data 0.001 (0.197)	Loss 2.5825 (2.5694)	Prec@1 39.062 (37.905)	Prec@5 69.531 (67.740)
Epoch: [72][5340/7045]	Time 0.112 (0.261)	Data 0.053 (0.197)	Loss 2.5641 (2.5694)	Prec@1 41.406 (37.904)	Prec@5 66.797 (67.740)
Epoch: [72][5350/7045]	Time 0.339 (0.261)	Data 0.288 (0.197)	Loss 2.4427 (2.5693)	Prec@1 41.406 (37.908)	Prec@5 69.141 (67.742)
Epoch: [72][5360/7045]	Time 0.130 (0.261)	Data 0.079 (0.197)	Loss 2.8164 (2.5692)	Prec@1 33.594 (37.912)	Prec@5 65.234 (67.742)
Epoch: [72][5370/7045]	Time 0.101 (0.261)	Data 0.001 (0.197)	Loss 2.5142 (2.5693)	Prec@1 35.547 (37.909)	Prec@5 71.875 (67.744)
Epoch: [72][5380/7045]	Time 0.102 (0.261)	Data 0.001 (0.197)	Loss 2.6946 (2.5694)	Prec@1 37.109 (37.908)	Prec@5 64.844 (67.743)
Epoch: [72][5390/7045]	Time 0.138 (0.261)	Data 0.086 (0.197)	Loss 2.4742 (2.5694)	Prec@1 42.969 (37.909)	Prec@5 67.969 (67.742)
Epoch: [72][5400/7045]	Time 0.393 (0.261)	Data 0.341 (0.197)	Loss 2.5928 (2.5693)	Prec@1 36.719 (37.911)	Prec@5 67.578 (67.744)
Epoch: [72][5410/7045]	Time 0.108 (0.261)	Data 0.001 (0.197)	Loss 2.5216 (2.5694)	Prec@1 39.062 (37.910)	Prec@5 69.531 (67.742)
Epoch: [72][5420/7045]	Time 0.171 (0.261)	Data 0.119 (0.197)	Loss 2.5237 (2.5693)	Prec@1 37.109 (37.910)	Prec@5 67.188 (67.744)
Epoch: [72][5430/7045]	Time 0.284 (0.261)	Data 0.233 (0.197)	Loss 2.7276 (2.5695)	Prec@1 37.500 (37.907)	Prec@5 64.453 (67.739)
Epoch: [72][5440/7045]	Time 0.361 (0.261)	Data 0.311 (0.197)	Loss 2.7471 (2.5695)	Prec@1 39.062 (37.907)	Prec@5 62.109 (67.739)
Epoch: [72][5450/7045]	Time 0.141 (0.261)	Data 0.089 (0.197)	Loss 2.5442 (2.5696)	Prec@1 38.281 (37.906)	Prec@5 68.750 (67.739)
Epoch: [72][5460/7045]	Time 0.511 (0.261)	Data 0.461 (0.197)	Loss 2.5156 (2.5697)	Prec@1 39.844 (37.903)	Prec@5 67.578 (67.737)
Epoch: [72][5470/7045]	Time 0.431 (0.261)	Data 0.378 (0.197)	Loss 2.5446 (2.5696)	Prec@1 37.109 (37.903)	Prec@5 67.188 (67.738)
Epoch: [72][5480/7045]	Time 0.102 (0.261)	Data 0.001 (0.197)	Loss 2.5970 (2.5697)	Prec@1 33.984 (37.902)	Prec@5 69.922 (67.736)
Epoch: [72][5490/7045]	Time 0.400 (0.261)	Data 0.348 (0.197)	Loss 2.3697 (2.5696)	Prec@1 44.922 (37.904)	Prec@5 71.094 (67.738)
Epoch: [72][5500/7045]	Time 0.103 (0.261)	Data 0.001 (0.197)	Loss 2.4326 (2.5697)	Prec@1 42.969 (37.905)	Prec@5 66.016 (67.737)
Epoch: [72][5510/7045]	Time 0.278 (0.261)	Data 0.226 (0.197)	Loss 2.5792 (2.5697)	Prec@1 37.500 (37.907)	Prec@5 66.797 (67.737)
Epoch: [72][5520/7045]	Time 0.685 (0.261)	Data 0.633 (0.197)	Loss 2.3405 (2.5697)	Prec@1 41.797 (37.908)	Prec@5 71.875 (67.737)
Epoch: [72][5530/7045]	Time 0.255 (0.261)	Data 0.204 (0.197)	Loss 2.8148 (2.5699)	Prec@1 30.469 (37.902)	Prec@5 65.234 (67.734)
Epoch: [72][5540/7045]	Time 0.102 (0.261)	Data 0.001 (0.197)	Loss 2.5693 (2.5698)	Prec@1 37.109 (37.904)	Prec@5 67.969 (67.735)
Epoch: [72][5550/7045]	Time 0.541 (0.261)	Data 0.488 (0.197)	Loss 2.4733 (2.5700)	Prec@1 40.625 (37.902)	Prec@5 71.484 (67.732)
Epoch: [72][5560/7045]	Time 0.291 (0.261)	Data 0.238 (0.197)	Loss 2.7181 (2.5701)	Prec@1 37.500 (37.900)	Prec@5 65.625 (67.732)
Epoch: [72][5570/7045]	Time 0.102 (0.261)	Data 0.001 (0.197)	Loss 2.6800 (2.5701)	Prec@1 38.281 (37.900)	Prec@5 67.188 (67.731)
Epoch: [72][5580/7045]	Time 0.493 (0.261)	Data 0.442 (0.197)	Loss 2.8207 (2.5702)	Prec@1 34.375 (37.901)	Prec@5 64.062 (67.730)
Epoch: [72][5590/7045]	Time 0.703 (0.261)	Data 0.652 (0.197)	Loss 2.6056 (2.5703)	Prec@1 35.547 (37.901)	Prec@5 64.844 (67.729)
Epoch: [72][5600/7045]	Time 0.103 (0.261)	Data 0.001 (0.197)	Loss 2.4170 (2.5702)	Prec@1 41.406 (37.902)	Prec@5 67.578 (67.731)
Epoch: [72][5610/7045]	Time 0.341 (0.261)	Data 0.290 (0.197)	Loss 2.5650 (2.5702)	Prec@1 33.594 (37.902)	Prec@5 67.578 (67.729)
Epoch: [72][5620/7045]	Time 0.791 (0.261)	Data 0.739 (0.197)	Loss 2.5798 (2.5703)	Prec@1 39.062 (37.904)	Prec@5 67.188 (67.729)
Epoch: [72][5630/7045]	Time 0.099 (0.261)	Data 0.045 (0.197)	Loss 2.7388 (2.5702)	Prec@1 31.641 (37.904)	Prec@5 62.109 (67.730)
Epoch: [72][5640/7045]	Time 0.415 (0.261)	Data 0.363 (0.197)	Loss 2.7103 (2.5701)	Prec@1 33.594 (37.904)	Prec@5 67.188 (67.732)
Epoch: [72][5650/7045]	Time 0.103 (0.261)	Data 0.051 (0.197)	Loss 2.4676 (2.5701)	Prec@1 35.938 (37.905)	Prec@5 69.141 (67.733)
Epoch: [72][5660/7045]	Time 0.103 (0.261)	Data 0.050 (0.197)	Loss 2.5211 (2.5701)	Prec@1 39.844 (37.905)	Prec@5 64.453 (67.733)
Epoch: [72][5670/7045]	Time 0.539 (0.261)	Data 0.480 (0.197)	Loss 2.7414 (2.5701)	Prec@1 35.547 (37.906)	Prec@5 65.625 (67.734)
Epoch: [72][5680/7045]	Time 0.341 (0.261)	Data 0.290 (0.197)	Loss 2.3254 (2.5700)	Prec@1 44.922 (37.909)	Prec@5 71.094 (67.735)
Epoch: [72][5690/7045]	Time 0.507 (0.261)	Data 0.456 (0.197)	Loss 2.7165 (2.5701)	Prec@1 35.547 (37.908)	Prec@5 64.062 (67.731)
Epoch: [72][5700/7045]	Time 0.495 (0.261)	Data 0.444 (0.197)	Loss 2.7424 (2.5701)	Prec@1 31.641 (37.908)	Prec@5 67.578 (67.733)
Epoch: [72][5710/7045]	Time 0.102 (0.261)	Data 0.001 (0.197)	Loss 2.4228 (2.5701)	Prec@1 40.234 (37.909)	Prec@5 69.922 (67.735)
Epoch: [72][5720/7045]	Time 0.110 (0.261)	Data 0.001 (0.197)	Loss 2.6819 (2.5701)	Prec@1 36.328 (37.911)	Prec@5 66.797 (67.736)
Epoch: [72][5730/7045]	Time 0.118 (0.261)	Data 0.059 (0.196)	Loss 2.7954 (2.5703)	Prec@1 35.547 (37.909)	Prec@5 67.188 (67.732)
Epoch: [72][5740/7045]	Time 0.102 (0.261)	Data 0.001 (0.196)	Loss 2.5317 (2.5702)	Prec@1 36.328 (37.912)	Prec@5 68.750 (67.734)
Epoch: [72][5750/7045]	Time 0.102 (0.261)	Data 0.001 (0.196)	Loss 2.4825 (2.5702)	Prec@1 41.406 (37.912)	Prec@5 70.312 (67.736)
Epoch: [72][5760/7045]	Time 0.110 (0.261)	Data 0.001 (0.196)	Loss 2.6280 (2.5702)	Prec@1 35.156 (37.914)	Prec@5 67.578 (67.735)
Epoch: [72][5770/7045]	Time 0.168 (0.261)	Data 0.116 (0.196)	Loss 2.6836 (2.5702)	Prec@1 36.719 (37.912)	Prec@5 66.406 (67.733)
Epoch: [72][5780/7045]	Time 0.108 (0.261)	Data 0.055 (0.196)	Loss 2.6675 (2.5703)	Prec@1 33.594 (37.910)	Prec@5 67.188 (67.734)
Epoch: [72][5790/7045]	Time 0.115 (0.261)	Data 0.062 (0.196)	Loss 2.4255 (2.5702)	Prec@1 37.891 (37.912)	Prec@5 71.094 (67.735)
Epoch: [72][5800/7045]	Time 0.499 (0.261)	Data 0.446 (0.196)	Loss 2.2204 (2.5703)	Prec@1 45.703 (37.911)	Prec@5 70.703 (67.732)
Epoch: [72][5810/7045]	Time 0.255 (0.260)	Data 0.202 (0.196)	Loss 2.5706 (2.5703)	Prec@1 34.766 (37.912)	Prec@5 69.531 (67.732)
Epoch: [72][5820/7045]	Time 0.102 (0.261)	Data 0.001 (0.196)	Loss 2.6070 (2.5703)	Prec@1 34.766 (37.911)	Prec@5 67.578 (67.731)
Epoch: [72][5830/7045]	Time 0.102 (0.260)	Data 0.001 (0.196)	Loss 2.4496 (2.5703)	Prec@1 42.188 (37.914)	Prec@5 67.969 (67.731)
Epoch: [72][5840/7045]	Time 0.107 (0.260)	Data 0.001 (0.196)	Loss 2.6366 (2.5703)	Prec@1 39.062 (37.912)	Prec@5 65.234 (67.731)
Epoch: [72][5850/7045]	Time 0.176 (0.260)	Data 0.122 (0.196)	Loss 2.6164 (2.5704)	Prec@1 37.109 (37.910)	Prec@5 66.797 (67.732)
Epoch: [72][5860/7045]	Time 0.101 (0.260)	Data 0.001 (0.196)	Loss 2.7343 (2.5704)	Prec@1 34.766 (37.911)	Prec@5 63.672 (67.732)
Epoch: [72][5870/7045]	Time 0.102 (0.260)	Data 0.001 (0.196)	Loss 2.5074 (2.5703)	Prec@1 40.625 (37.913)	Prec@5 71.094 (67.734)
Epoch: [72][5880/7045]	Time 0.596 (0.260)	Data 0.537 (0.196)	Loss 2.4086 (2.5703)	Prec@1 38.672 (37.911)	Prec@5 72.656 (67.734)
Epoch: [72][5890/7045]	Time 0.112 (0.260)	Data 0.059 (0.196)	Loss 2.4861 (2.5704)	Prec@1 38.281 (37.910)	Prec@5 68.359 (67.733)
Epoch: [72][5900/7045]	Time 0.257 (0.260)	Data 0.207 (0.196)	Loss 2.4684 (2.5703)	Prec@1 37.500 (37.909)	Prec@5 71.484 (67.734)
Epoch: [72][5910/7045]	Time 0.325 (0.260)	Data 0.274 (0.196)	Loss 2.5093 (2.5703)	Prec@1 37.891 (37.910)	Prec@5 66.797 (67.732)
Epoch: [72][5920/7045]	Time 0.103 (0.260)	Data 0.001 (0.196)	Loss 2.6296 (2.5703)	Prec@1 36.328 (37.909)	Prec@5 65.234 (67.733)
Epoch: [72][5930/7045]	Time 0.236 (0.260)	Data 0.184 (0.196)	Loss 2.5275 (2.5704)	Prec@1 42.969 (37.907)	Prec@5 68.750 (67.730)
Epoch: [72][5940/7045]	Time 0.103 (0.260)	Data 0.001 (0.196)	Loss 2.7970 (2.5705)	Prec@1 32.812 (37.907)	Prec@5 60.938 (67.729)
Epoch: [72][5950/7045]	Time 0.116 (0.260)	Data 0.064 (0.196)	Loss 2.6845 (2.5704)	Prec@1 35.938 (37.909)	Prec@5 66.016 (67.731)
Epoch: [72][5960/7045]	Time 0.690 (0.260)	Data 0.638 (0.196)	Loss 2.5983 (2.5705)	Prec@1 38.672 (37.910)	Prec@5 66.797 (67.731)
Epoch: [72][5970/7045]	Time 0.109 (0.260)	Data 0.001 (0.196)	Loss 2.6652 (2.5704)	Prec@1 40.234 (37.912)	Prec@5 64.062 (67.732)
Epoch: [72][5980/7045]	Time 0.447 (0.260)	Data 0.395 (0.196)	Loss 2.4784 (2.5704)	Prec@1 40.234 (37.912)	Prec@5 67.969 (67.732)
Epoch: [72][5990/7045]	Time 0.111 (0.260)	Data 0.058 (0.196)	Loss 2.8469 (2.5704)	Prec@1 33.594 (37.910)	Prec@5 59.375 (67.731)
Epoch: [72][6000/7045]	Time 0.114 (0.260)	Data 0.063 (0.196)	Loss 2.5087 (2.5704)	Prec@1 38.281 (37.909)	Prec@5 67.188 (67.732)
Epoch: [72][6010/7045]	Time 0.284 (0.260)	Data 0.232 (0.196)	Loss 2.7677 (2.5705)	Prec@1 34.375 (37.909)	Prec@5 64.062 (67.732)
Epoch: [72][6020/7045]	Time 0.101 (0.260)	Data 0.005 (0.196)	Loss 2.4096 (2.5705)	Prec@1 43.359 (37.909)	Prec@5 69.922 (67.733)
Epoch: [72][6030/7045]	Time 0.582 (0.260)	Data 0.531 (0.196)	Loss 2.2383 (2.5704)	Prec@1 44.922 (37.911)	Prec@5 74.609 (67.734)
Epoch: [72][6040/7045]	Time 0.209 (0.260)	Data 0.158 (0.196)	Loss 2.4061 (2.5705)	Prec@1 41.406 (37.907)	Prec@5 70.703 (67.732)
Epoch: [72][6050/7045]	Time 0.309 (0.260)	Data 0.258 (0.196)	Loss 2.4958 (2.5706)	Prec@1 39.062 (37.906)	Prec@5 69.141 (67.733)
Epoch: [72][6060/7045]	Time 0.102 (0.260)	Data 0.001 (0.196)	Loss 2.5661 (2.5706)	Prec@1 37.891 (37.906)	Prec@5 67.188 (67.732)
Epoch: [72][6070/7045]	Time 0.112 (0.260)	Data 0.060 (0.195)	Loss 2.7788 (2.5706)	Prec@1 33.984 (37.905)	Prec@5 64.453 (67.734)
Epoch: [72][6080/7045]	Time 0.115 (0.260)	Data 0.065 (0.195)	Loss 2.6960 (2.5707)	Prec@1 36.328 (37.903)	Prec@5 65.234 (67.732)
Epoch: [72][6090/7045]	Time 0.114 (0.260)	Data 0.061 (0.195)	Loss 2.5941 (2.5707)	Prec@1 36.719 (37.903)	Prec@5 69.922 (67.733)
Epoch: [72][6100/7045]	Time 0.501 (0.260)	Data 0.450 (0.195)	Loss 2.7223 (2.5708)	Prec@1 35.156 (37.900)	Prec@5 64.453 (67.730)
Epoch: [72][6110/7045]	Time 0.111 (0.260)	Data 0.059 (0.195)	Loss 2.3997 (2.5708)	Prec@1 42.188 (37.901)	Prec@5 71.484 (67.729)
Epoch: [72][6120/7045]	Time 0.101 (0.260)	Data 0.001 (0.195)	Loss 2.4047 (2.5707)	Prec@1 42.969 (37.902)	Prec@5 68.359 (67.729)
Epoch: [72][6130/7045]	Time 0.616 (0.260)	Data 0.554 (0.195)	Loss 2.7090 (2.5707)	Prec@1 35.547 (37.901)	Prec@5 67.578 (67.730)
Epoch: [72][6140/7045]	Time 0.103 (0.260)	Data 0.001 (0.195)	Loss 2.6658 (2.5708)	Prec@1 32.812 (37.899)	Prec@5 67.969 (67.730)
Epoch: [72][6150/7045]	Time 0.109 (0.260)	Data 0.006 (0.195)	Loss 2.6671 (2.5708)	Prec@1 39.844 (37.899)	Prec@5 67.188 (67.728)
Epoch: [72][6160/7045]	Time 0.102 (0.260)	Data 0.001 (0.195)	Loss 2.6408 (2.5709)	Prec@1 37.891 (37.900)	Prec@5 68.359 (67.728)
Epoch: [72][6170/7045]	Time 0.103 (0.260)	Data 0.001 (0.195)	Loss 2.7436 (2.5709)	Prec@1 32.031 (37.900)	Prec@5 66.406 (67.727)
Epoch: [72][6180/7045]	Time 0.350 (0.260)	Data 0.298 (0.195)	Loss 2.4916 (2.5708)	Prec@1 41.016 (37.900)	Prec@5 68.359 (67.727)
Epoch: [72][6190/7045]	Time 0.101 (0.260)	Data 0.001 (0.195)	Loss 2.6517 (2.5707)	Prec@1 35.156 (37.902)	Prec@5 66.797 (67.728)
Epoch: [72][6200/7045]	Time 0.119 (0.260)	Data 0.060 (0.195)	Loss 2.6453 (2.5708)	Prec@1 39.453 (37.900)	Prec@5 64.062 (67.726)
Epoch: [72][6210/7045]	Time 0.464 (0.260)	Data 0.406 (0.195)	Loss 2.3796 (2.5707)	Prec@1 40.234 (37.903)	Prec@5 74.609 (67.729)
Epoch: [72][6220/7045]	Time 0.108 (0.260)	Data 0.055 (0.195)	Loss 2.7148 (2.5707)	Prec@1 36.719 (37.905)	Prec@5 66.016 (67.729)
Epoch: [72][6230/7045]	Time 0.111 (0.260)	Data 0.006 (0.195)	Loss 2.8116 (2.5708)	Prec@1 36.328 (37.903)	Prec@5 61.328 (67.726)
Epoch: [72][6240/7045]	Time 0.905 (0.260)	Data 0.852 (0.195)	Loss 2.6129 (2.5709)	Prec@1 39.062 (37.904)	Prec@5 67.969 (67.724)
Epoch: [72][6250/7045]	Time 0.105 (0.260)	Data 0.052 (0.195)	Loss 2.4497 (2.5708)	Prec@1 39.844 (37.904)	Prec@5 69.531 (67.725)
Epoch: [72][6260/7045]	Time 0.103 (0.260)	Data 0.046 (0.195)	Loss 2.4559 (2.5708)	Prec@1 42.188 (37.905)	Prec@5 68.750 (67.725)
Epoch: [72][6270/7045]	Time 0.843 (0.260)	Data 0.791 (0.195)	Loss 2.3463 (2.5708)	Prec@1 40.234 (37.905)	Prec@5 71.094 (67.726)
Epoch: [72][6280/7045]	Time 0.226 (0.260)	Data 0.167 (0.195)	Loss 2.6574 (2.5708)	Prec@1 33.594 (37.905)	Prec@5 65.625 (67.726)
Epoch: [72][6290/7045]	Time 0.112 (0.260)	Data 0.059 (0.195)	Loss 2.7415 (2.5709)	Prec@1 32.031 (37.903)	Prec@5 65.234 (67.724)
Epoch: [72][6300/7045]	Time 0.102 (0.260)	Data 0.001 (0.195)	Loss 2.5091 (2.5709)	Prec@1 38.281 (37.904)	Prec@5 68.359 (67.724)
Epoch: [72][6310/7045]	Time 0.110 (0.260)	Data 0.001 (0.195)	Loss 2.7072 (2.5711)	Prec@1 32.812 (37.899)	Prec@5 62.891 (67.719)
Epoch: [72][6320/7045]	Time 0.291 (0.260)	Data 0.240 (0.195)	Loss 2.3166 (2.5710)	Prec@1 39.453 (37.901)	Prec@5 71.875 (67.720)
Epoch: [72][6330/7045]	Time 0.102 (0.260)	Data 0.004 (0.195)	Loss 2.5534 (2.5710)	Prec@1 33.984 (37.902)	Prec@5 66.406 (67.720)
Epoch: [72][6340/7045]	Time 0.338 (0.260)	Data 0.286 (0.195)	Loss 2.6878 (2.5709)	Prec@1 37.109 (37.901)	Prec@5 67.578 (67.721)
Epoch: [72][6350/7045]	Time 0.326 (0.260)	Data 0.273 (0.195)	Loss 2.6075 (2.5710)	Prec@1 39.453 (37.902)	Prec@5 63.281 (67.720)
Epoch: [72][6360/7045]	Time 0.115 (0.259)	Data 0.056 (0.195)	Loss 2.6218 (2.5710)	Prec@1 33.984 (37.902)	Prec@5 64.062 (67.720)
Epoch: [72][6370/7045]	Time 0.336 (0.259)	Data 0.284 (0.195)	Loss 2.8096 (2.5710)	Prec@1 35.156 (37.903)	Prec@5 62.500 (67.721)
Epoch: [72][6380/7045]	Time 0.103 (0.259)	Data 0.051 (0.195)	Loss 2.5375 (2.5709)	Prec@1 38.672 (37.901)	Prec@5 71.094 (67.720)
Epoch: [72][6390/7045]	Time 0.176 (0.259)	Data 0.123 (0.195)	Loss 2.8742 (2.5710)	Prec@1 30.078 (37.900)	Prec@5 64.453 (67.719)
Epoch: [72][6400/7045]	Time 0.322 (0.259)	Data 0.269 (0.195)	Loss 2.6508 (2.5709)	Prec@1 35.938 (37.899)	Prec@5 64.844 (67.721)
Epoch: [72][6410/7045]	Time 0.214 (0.259)	Data 0.163 (0.195)	Loss 2.4186 (2.5708)	Prec@1 40.625 (37.901)	Prec@5 68.359 (67.721)
Epoch: [72][6420/7045]	Time 0.169 (0.259)	Data 0.117 (0.195)	Loss 2.5150 (2.5708)	Prec@1 37.109 (37.902)	Prec@5 72.266 (67.721)
Epoch: [72][6430/7045]	Time 0.733 (0.259)	Data 0.681 (0.195)	Loss 2.3907 (2.5708)	Prec@1 36.719 (37.900)	Prec@5 71.484 (67.720)
Epoch: [72][6440/7045]	Time 0.240 (0.259)	Data 0.190 (0.195)	Loss 2.7457 (2.5708)	Prec@1 36.719 (37.902)	Prec@5 64.844 (67.719)
Epoch: [72][6450/7045]	Time 0.412 (0.259)	Data 0.359 (0.195)	Loss 2.5436 (2.5708)	Prec@1 41.016 (37.904)	Prec@5 68.750 (67.719)
Epoch: [72][6460/7045]	Time 0.314 (0.259)	Data 0.261 (0.195)	Loss 2.3627 (2.5708)	Prec@1 39.844 (37.905)	Prec@5 71.875 (67.718)
Epoch: [72][6470/7045]	Time 0.150 (0.259)	Data 0.098 (0.195)	Loss 2.7376 (2.5709)	Prec@1 35.938 (37.906)	Prec@5 65.625 (67.719)
Epoch: [72][6480/7045]	Time 0.479 (0.259)	Data 0.426 (0.195)	Loss 2.7037 (2.5709)	Prec@1 36.328 (37.903)	Prec@5 64.453 (67.718)
Epoch: [72][6490/7045]	Time 0.249 (0.259)	Data 0.184 (0.195)	Loss 2.2864 (2.5709)	Prec@1 41.406 (37.904)	Prec@5 71.484 (67.718)
Epoch: [72][6500/7045]	Time 0.187 (0.259)	Data 0.135 (0.195)	Loss 2.5598 (2.5710)	Prec@1 37.891 (37.903)	Prec@5 66.797 (67.717)
Epoch: [72][6510/7045]	Time 0.149 (0.259)	Data 0.096 (0.195)	Loss 2.6225 (2.5710)	Prec@1 40.234 (37.902)	Prec@5 61.719 (67.715)
Epoch: [72][6520/7045]	Time 0.103 (0.259)	Data 0.001 (0.195)	Loss 2.5745 (2.5709)	Prec@1 39.844 (37.904)	Prec@5 69.531 (67.716)
Epoch: [72][6530/7045]	Time 0.108 (0.259)	Data 0.055 (0.195)	Loss 2.5428 (2.5709)	Prec@1 39.062 (37.903)	Prec@5 67.578 (67.716)
Epoch: [72][6540/7045]	Time 0.144 (0.259)	Data 0.093 (0.195)	Loss 2.5708 (2.5709)	Prec@1 36.328 (37.904)	Prec@5 67.578 (67.716)
Epoch: [72][6550/7045]	Time 0.497 (0.259)	Data 0.446 (0.195)	Loss 2.4727 (2.5709)	Prec@1 41.016 (37.902)	Prec@5 68.750 (67.717)
Epoch: [72][6560/7045]	Time 0.220 (0.259)	Data 0.168 (0.194)	Loss 2.6547 (2.5709)	Prec@1 37.109 (37.901)	Prec@5 65.625 (67.717)
Epoch: [72][6570/7045]	Time 0.338 (0.259)	Data 0.278 (0.195)	Loss 2.5203 (2.5710)	Prec@1 39.453 (37.900)	Prec@5 68.750 (67.714)
Epoch: [72][6580/7045]	Time 0.555 (0.259)	Data 0.504 (0.195)	Loss 2.6606 (2.5710)	Prec@1 37.891 (37.900)	Prec@5 61.328 (67.713)
Epoch: [72][6590/7045]	Time 0.358 (0.259)	Data 0.298 (0.194)	Loss 2.5232 (2.5709)	Prec@1 39.844 (37.903)	Prec@5 66.797 (67.716)
Epoch: [72][6600/7045]	Time 0.110 (0.259)	Data 0.001 (0.194)	Loss 2.6783 (2.5708)	Prec@1 35.938 (37.904)	Prec@5 67.188 (67.719)
Epoch: [72][6610/7045]	Time 0.202 (0.259)	Data 0.150 (0.194)	Loss 2.5882 (2.5709)	Prec@1 37.109 (37.901)	Prec@5 68.359 (67.718)
Epoch: [72][6620/7045]	Time 0.253 (0.259)	Data 0.201 (0.194)	Loss 2.4001 (2.5709)	Prec@1 39.062 (37.901)	Prec@5 70.312 (67.718)
Epoch: [72][6630/7045]	Time 0.312 (0.259)	Data 0.259 (0.194)	Loss 2.7134 (2.5708)	Prec@1 38.672 (37.901)	Prec@5 64.844 (67.719)
Epoch: [72][6640/7045]	Time 0.297 (0.259)	Data 0.245 (0.194)	Loss 2.6412 (2.5708)	Prec@1 34.766 (37.900)	Prec@5 68.359 (67.720)
Epoch: [72][6650/7045]	Time 0.392 (0.259)	Data 0.331 (0.194)	Loss 2.5075 (2.5708)	Prec@1 38.281 (37.901)	Prec@5 70.312 (67.721)
Epoch: [72][6660/7045]	Time 0.366 (0.259)	Data 0.313 (0.194)	Loss 2.5172 (2.5709)	Prec@1 41.016 (37.900)	Prec@5 66.797 (67.720)
Epoch: [72][6670/7045]	Time 0.102 (0.259)	Data 0.001 (0.194)	Loss 2.4966 (2.5707)	Prec@1 40.234 (37.902)	Prec@5 71.875 (67.723)
Epoch: [72][6680/7045]	Time 0.101 (0.259)	Data 0.001 (0.194)	Loss 2.4355 (2.5708)	Prec@1 39.453 (37.902)	Prec@5 69.922 (67.722)
Epoch: [72][6690/7045]	Time 0.102 (0.259)	Data 0.001 (0.194)	Loss 2.6266 (2.5708)	Prec@1 36.719 (37.902)	Prec@5 65.234 (67.721)
Epoch: [72][6700/7045]	Time 0.261 (0.259)	Data 0.209 (0.194)	Loss 2.5124 (2.5708)	Prec@1 43.359 (37.901)	Prec@5 71.094 (67.721)
Epoch: [72][6710/7045]	Time 0.269 (0.259)	Data 0.216 (0.194)	Loss 2.3537 (2.5708)	Prec@1 38.672 (37.902)	Prec@5 69.922 (67.722)
Epoch: [72][6720/7045]	Time 0.102 (0.259)	Data 0.002 (0.194)	Loss 2.4022 (2.5708)	Prec@1 43.359 (37.901)	Prec@5 71.875 (67.720)
Epoch: [72][6730/7045]	Time 0.444 (0.259)	Data 0.387 (0.194)	Loss 2.5788 (2.5708)	Prec@1 38.672 (37.900)	Prec@5 67.188 (67.721)
Epoch: [72][6740/7045]	Time 0.392 (0.259)	Data 0.340 (0.194)	Loss 2.8557 (2.5708)	Prec@1 28.906 (37.898)	Prec@5 61.328 (67.721)
Epoch: [72][6750/7045]	Time 0.291 (0.259)	Data 0.239 (0.194)	Loss 2.6056 (2.5708)	Prec@1 34.766 (37.895)	Prec@5 66.016 (67.720)
Epoch: [72][6760/7045]	Time 0.294 (0.259)	Data 0.244 (0.194)	Loss 2.5406 (2.5708)	Prec@1 37.500 (37.896)	Prec@5 69.531 (67.721)
Epoch: [72][6770/7045]	Time 0.120 (0.259)	Data 0.069 (0.194)	Loss 2.5591 (2.5708)	Prec@1 38.672 (37.894)	Prec@5 70.312 (67.722)
Epoch: [72][6780/7045]	Time 0.110 (0.259)	Data 0.057 (0.194)	Loss 2.5546 (2.5708)	Prec@1 36.328 (37.895)	Prec@5 66.406 (67.723)
Epoch: [72][6790/7045]	Time 0.124 (0.259)	Data 0.073 (0.194)	Loss 2.5113 (2.5708)	Prec@1 38.281 (37.897)	Prec@5 71.094 (67.724)
Epoch: [72][6800/7045]	Time 0.435 (0.259)	Data 0.384 (0.194)	Loss 2.4158 (2.5708)	Prec@1 40.234 (37.897)	Prec@5 67.969 (67.723)
Epoch: [72][6810/7045]	Time 0.416 (0.259)	Data 0.363 (0.194)	Loss 2.5422 (2.5708)	Prec@1 35.547 (37.896)	Prec@5 66.797 (67.723)
Epoch: [72][6820/7045]	Time 0.103 (0.259)	Data 0.001 (0.194)	Loss 2.3728 (2.5709)	Prec@1 39.062 (37.894)	Prec@5 73.047 (67.722)
Epoch: [72][6830/7045]	Time 0.108 (0.259)	Data 0.057 (0.194)	Loss 2.6137 (2.5709)	Prec@1 37.109 (37.893)	Prec@5 69.141 (67.722)
Epoch: [72][6840/7045]	Time 0.293 (0.259)	Data 0.240 (0.194)	Loss 2.5142 (2.5709)	Prec@1 35.938 (37.894)	Prec@5 69.141 (67.723)
Epoch: [72][6850/7045]	Time 0.114 (0.259)	Data 0.059 (0.194)	Loss 2.6557 (2.5709)	Prec@1 41.016 (37.895)	Prec@5 68.359 (67.722)
Epoch: [72][6860/7045]	Time 0.272 (0.259)	Data 0.220 (0.194)	Loss 2.5282 (2.5709)	Prec@1 32.812 (37.895)	Prec@5 66.016 (67.724)
Epoch: [72][6870/7045]	Time 0.357 (0.259)	Data 0.304 (0.194)	Loss 2.6709 (2.5709)	Prec@1 37.109 (37.894)	Prec@5 66.797 (67.724)
Epoch: [72][6880/7045]	Time 0.453 (0.259)	Data 0.391 (0.194)	Loss 2.4068 (2.5709)	Prec@1 43.750 (37.895)	Prec@5 69.141 (67.723)
Epoch: [72][6890/7045]	Time 0.336 (0.259)	Data 0.285 (0.194)	Loss 2.9297 (2.5711)	Prec@1 30.859 (37.894)	Prec@5 60.547 (67.720)
Epoch: [72][6900/7045]	Time 0.102 (0.259)	Data 0.007 (0.194)	Loss 2.4324 (2.5711)	Prec@1 39.453 (37.894)	Prec@5 71.484 (67.721)
Epoch: [72][6910/7045]	Time 0.550 (0.259)	Data 0.498 (0.194)	Loss 2.5691 (2.5711)	Prec@1 40.625 (37.893)	Prec@5 66.797 (67.721)
Epoch: [72][6920/7045]	Time 0.391 (0.259)	Data 0.340 (0.194)	Loss 2.5666 (2.5712)	Prec@1 35.156 (37.891)	Prec@5 69.141 (67.720)
Epoch: [72][6930/7045]	Time 0.111 (0.259)	Data 0.001 (0.194)	Loss 2.6018 (2.5712)	Prec@1 37.109 (37.889)	Prec@5 65.625 (67.720)
Epoch: [72][6940/7045]	Time 0.102 (0.259)	Data 0.001 (0.194)	Loss 2.8465 (2.5712)	Prec@1 35.156 (37.889)	Prec@5 64.453 (67.720)
Epoch: [72][6950/7045]	Time 0.102 (0.259)	Data 0.001 (0.194)	Loss 2.6860 (2.5712)	Prec@1 33.594 (37.889)	Prec@5 66.406 (67.722)
Epoch: [72][6960/7045]	Time 0.102 (0.259)	Data 0.050 (0.194)	Loss 2.5268 (2.5711)	Prec@1 41.406 (37.890)	Prec@5 66.016 (67.723)
Epoch: [72][6970/7045]	Time 0.188 (0.258)	Data 0.136 (0.194)	Loss 2.5103 (2.5711)	Prec@1 35.156 (37.890)	Prec@5 67.188 (67.724)
Epoch: [72][6980/7045]	Time 0.102 (0.258)	Data 0.006 (0.194)	Loss 2.6240 (2.5711)	Prec@1 34.375 (37.890)	Prec@5 64.062 (67.722)
Epoch: [72][6990/7045]	Time 0.493 (0.258)	Data 0.440 (0.194)	Loss 2.5718 (2.5712)	Prec@1 37.891 (37.890)	Prec@5 66.016 (67.721)
Epoch: [72][7000/7045]	Time 0.102 (0.258)	Data 0.015 (0.194)	Loss 2.5403 (2.5711)	Prec@1 36.328 (37.892)	Prec@5 68.750 (67.722)
Epoch: [72][7010/7045]	Time 0.332 (0.258)	Data 0.274 (0.194)	Loss 2.5500 (2.5712)	Prec@1 42.578 (37.892)	Prec@5 67.969 (67.721)
Epoch: [72][7020/7045]	Time 0.279 (0.258)	Data 0.227 (0.194)	Loss 2.6050 (2.5712)	Prec@1 33.203 (37.892)	Prec@5 66.797 (67.722)
Epoch: [72][7030/7045]	Time 0.102 (0.258)	Data 0.001 (0.194)	Loss 2.5303 (2.5712)	Prec@1 37.109 (37.893)	Prec@5 67.969 (67.722)
Epoch: [72][7040/7045]	Time 0.102 (0.258)	Data 0.000 (0.194)	Loss 2.5148 (2.5712)	Prec@1 42.578 (37.894)	Prec@5 69.922 (67.721)
Test: [0/143]	Time 1.362 (1.362)	Loss 2.2186 (2.2186)	Prec@1 49.219 (49.219)	Prec@5 76.172 (76.172)
Test: [10/143]	Time 0.061 (0.242)	Loss 1.6660 (2.0469)	Prec@1 59.766 (49.361)	Prec@5 83.984 (78.551)
Test: [20/143]	Time 0.230 (0.221)	Loss 2.1821 (2.0199)	Prec@1 46.875 (48.735)	Prec@5 75.781 (79.092)
Test: [30/143]	Time 0.180 (0.210)	Loss 2.2282 (2.0272)	Prec@1 48.047 (49.042)	Prec@5 68.750 (78.339)
Test: [40/143]	Time 0.264 (0.205)	Loss 2.7569 (2.0664)	Prec@1 24.609 (47.780)	Prec@5 65.625 (77.782)
Test: [50/143]	Time 0.060 (0.196)	Loss 1.8533 (2.1168)	Prec@1 48.047 (46.132)	Prec@5 82.812 (77.137)
Test: [60/143]	Time 0.470 (0.197)	Loss 2.2850 (2.1047)	Prec@1 38.281 (46.299)	Prec@5 75.391 (77.305)
Test: [70/143]	Time 0.053 (0.191)	Loss 2.9760 (2.0958)	Prec@1 25.000 (46.451)	Prec@5 59.766 (77.454)
Test: [80/143]	Time 0.198 (0.193)	Loss 1.9630 (2.0917)	Prec@1 50.000 (46.547)	Prec@5 82.031 (77.599)
Test: [90/143]	Time 0.049 (0.191)	Loss 1.7986 (2.0843)	Prec@1 56.250 (46.678)	Prec@5 83.984 (77.679)
Test: [100/143]	Time 0.225 (0.190)	Loss 1.8609 (2.0848)	Prec@1 53.906 (46.581)	Prec@5 85.547 (77.761)
Test: [110/143]	Time 0.048 (0.190)	Loss 1.8340 (2.0799)	Prec@1 53.906 (46.854)	Prec@5 82.812 (77.921)
Test: [120/143]	Time 0.284 (0.189)	Loss 1.7304 (2.0726)	Prec@1 60.156 (47.114)	Prec@5 83.203 (77.986)
Test: [130/143]	Time 0.117 (0.187)	Loss 1.6107 (2.0789)	Prec@1 64.453 (47.143)	Prec@5 82.031 (77.815)
Test: [140/143]	Time 0.059 (0.186)	Loss 3.0432 (2.1028)	Prec@1 23.828 (46.592)	Prec@5 63.281 (77.380)
 * Prec@1 46.575 Prec@5 77.389
Epoch: [73][0/7045]	Time 2.500 (2.500)	Data 2.443 (2.443)	Loss 2.4984 (2.4984)	Prec@1 39.844 (39.844)	Prec@5 67.969 (67.969)
Epoch: [73][10/7045]	Time 0.506 (0.441)	Data 0.456 (0.369)	Loss 2.4450 (2.5079)	Prec@1 39.062 (38.494)	Prec@5 71.094 (69.993)
Epoch: [73][20/7045]	Time 0.101 (0.347)	Data 0.001 (0.277)	Loss 2.4196 (2.5092)	Prec@1 38.281 (38.988)	Prec@5 70.703 (68.955)
Epoch: [73][30/7045]	Time 0.355 (0.322)	Data 0.303 (0.251)	Loss 2.5315 (2.5343)	Prec@1 35.156 (38.760)	Prec@5 67.578 (68.183)
Epoch: [73][40/7045]	Time 0.615 (0.311)	Data 0.556 (0.243)	Loss 2.5201 (2.5467)	Prec@1 37.500 (38.196)	Prec@5 68.359 (68.102)
Epoch: [73][50/7045]	Time 0.101 (0.299)	Data 0.001 (0.230)	Loss 2.7179 (2.5448)	Prec@1 34.375 (38.366)	Prec@5 64.844 (68.206)
Epoch: [73][60/7045]	Time 0.101 (0.293)	Data 0.001 (0.225)	Loss 2.5676 (2.5446)	Prec@1 33.984 (38.236)	Prec@5 67.188 (68.231)
Epoch: [73][70/7045]	Time 0.411 (0.290)	Data 0.358 (0.221)	Loss 2.3411 (2.5263)	Prec@1 44.531 (38.754)	Prec@5 74.219 (68.601)
Epoch: [73][80/7045]	Time 0.102 (0.280)	Data 0.050 (0.213)	Loss 2.7494 (2.5355)	Prec@1 31.641 (38.518)	Prec@5 66.797 (68.412)
Epoch: [73][90/7045]	Time 0.103 (0.282)	Data 0.006 (0.215)	Loss 2.3987 (2.5360)	Prec@1 38.672 (38.522)	Prec@5 75.000 (68.480)
Epoch: [73][100/7045]	Time 0.124 (0.275)	Data 0.072 (0.208)	Loss 2.5863 (2.5328)	Prec@1 37.500 (38.490)	Prec@5 65.625 (68.468)
Epoch: [73][110/7045]	Time 0.102 (0.273)	Data 0.006 (0.206)	Loss 2.6588 (2.5414)	Prec@1 33.594 (38.327)	Prec@5 62.500 (68.359)
Epoch: [73][120/7045]	Time 0.102 (0.272)	Data 0.012 (0.205)	Loss 2.5648 (2.5418)	Prec@1 41.016 (38.365)	Prec@5 70.703 (68.311)
Epoch: [73][130/7045]	Time 0.102 (0.270)	Data 0.001 (0.202)	Loss 2.5798 (2.5478)	Prec@1 36.328 (38.240)	Prec@5 66.406 (68.198)
Epoch: [73][140/7045]	Time 0.102 (0.269)	Data 0.010 (0.200)	Loss 2.7569 (2.5532)	Prec@1 32.812 (38.115)	Prec@5 61.719 (67.991)
Epoch: [73][150/7045]	Time 0.506 (0.268)	Data 0.454 (0.199)	Loss 2.6978 (2.5560)	Prec@1 31.641 (38.064)	Prec@5 65.625 (67.943)
Epoch: [73][160/7045]	Time 0.102 (0.268)	Data 0.001 (0.198)	Loss 2.4558 (2.5550)	Prec@1 41.406 (38.060)	Prec@5 68.359 (67.966)
Epoch: [73][170/7045]	Time 0.455 (0.267)	Data 0.405 (0.197)	Loss 2.4622 (2.5568)	Prec@1 39.453 (38.037)	Prec@5 73.828 (67.960)
Epoch: [73][180/7045]	Time 0.483 (0.265)	Data 0.432 (0.195)	Loss 2.8844 (2.5584)	Prec@1 36.719 (38.009)	Prec@5 63.672 (67.919)
Epoch: [73][190/7045]	Time 0.205 (0.264)	Data 0.154 (0.193)	Loss 2.5791 (2.5559)	Prec@1 37.109 (38.001)	Prec@5 65.234 (67.956)
Epoch: [73][200/7045]	Time 0.141 (0.263)	Data 0.090 (0.192)	Loss 2.4991 (2.5571)	Prec@1 41.016 (37.951)	Prec@5 70.703 (67.975)
Epoch: [73][210/7045]	Time 0.102 (0.262)	Data 0.007 (0.192)	Loss 2.4893 (2.5604)	Prec@1 39.844 (37.926)	Prec@5 71.875 (67.950)
Epoch: [73][220/7045]	Time 0.511 (0.263)	Data 0.459 (0.194)	Loss 2.6086 (2.5607)	Prec@1 36.719 (37.875)	Prec@5 67.578 (67.944)
Epoch: [73][230/7045]	Time 0.471 (0.262)	Data 0.419 (0.192)	Loss 2.6058 (2.5626)	Prec@1 33.594 (37.835)	Prec@5 69.141 (67.943)
Epoch: [73][240/7045]	Time 0.100 (0.261)	Data 0.004 (0.191)	Loss 2.6682 (2.5631)	Prec@1 36.719 (37.831)	Prec@5 68.359 (67.930)
Epoch: [73][250/7045]	Time 0.784 (0.262)	Data 0.732 (0.191)	Loss 2.4976 (2.5635)	Prec@1 39.844 (37.864)	Prec@5 69.531 (67.933)
Epoch: [73][260/7045]	Time 0.241 (0.260)	Data 0.189 (0.190)	Loss 2.4942 (2.5650)	Prec@1 33.984 (37.850)	Prec@5 71.094 (67.948)
Epoch: [73][270/7045]	Time 0.224 (0.259)	Data 0.173 (0.190)	Loss 2.6711 (2.5648)	Prec@1 35.156 (37.834)	Prec@5 65.234 (67.964)
Epoch: [73][280/7045]	Time 0.579 (0.260)	Data 0.518 (0.191)	Loss 2.4555 (2.5643)	Prec@1 41.406 (37.867)	Prec@5 69.531 (67.955)
Epoch: [73][290/7045]	Time 0.103 (0.259)	Data 0.016 (0.190)	Loss 2.5134 (2.5638)	Prec@1 41.797 (37.866)	Prec@5 67.969 (67.981)
Epoch: [73][300/7045]	Time 0.167 (0.259)	Data 0.115 (0.190)	Loss 2.7187 (2.5638)	Prec@1 35.156 (37.870)	Prec@5 64.844 (67.958)
Epoch: [73][310/7045]	Time 0.280 (0.258)	Data 0.229 (0.190)	Loss 2.7190 (2.5632)	Prec@1 35.547 (37.878)	Prec@5 64.453 (67.955)
Epoch: [73][320/7045]	Time 0.495 (0.259)	Data 0.443 (0.191)	Loss 2.3576 (2.5617)	Prec@1 42.969 (37.904)	Prec@5 72.266 (67.991)
Epoch: [73][330/7045]	Time 0.207 (0.258)	Data 0.156 (0.191)	Loss 2.5584 (2.5620)	Prec@1 40.234 (37.894)	Prec@5 68.750 (67.990)
Epoch: [73][340/7045]	Time 0.118 (0.258)	Data 0.066 (0.190)	Loss 2.8951 (2.5635)	Prec@1 33.203 (37.873)	Prec@5 61.719 (67.968)
Epoch: [73][350/7045]	Time 0.474 (0.259)	Data 0.423 (0.191)	Loss 2.6812 (2.5643)	Prec@1 35.156 (37.841)	Prec@5 67.969 (67.940)
Epoch: [73][360/7045]	Time 0.170 (0.258)	Data 0.112 (0.191)	Loss 2.4907 (2.5640)	Prec@1 41.797 (37.866)	Prec@5 69.922 (67.948)
Epoch: [73][370/7045]	Time 0.182 (0.258)	Data 0.129 (0.190)	Loss 2.4429 (2.5631)	Prec@1 42.188 (37.900)	Prec@5 70.703 (67.943)
Epoch: [73][380/7045]	Time 0.576 (0.258)	Data 0.525 (0.191)	Loss 2.5376 (2.5631)	Prec@1 34.766 (37.870)	Prec@5 66.406 (67.919)
Epoch: [73][390/7045]	Time 0.168 (0.258)	Data 0.108 (0.190)	Loss 2.5235 (2.5620)	Prec@1 39.844 (37.883)	Prec@5 66.406 (67.957)
Epoch: [73][400/7045]	Time 0.492 (0.258)	Data 0.440 (0.191)	Loss 2.6333 (2.5618)	Prec@1 37.109 (37.885)	Prec@5 61.719 (67.944)
Epoch: [73][410/7045]	Time 0.503 (0.258)	Data 0.450 (0.191)	Loss 2.5535 (2.5606)	Prec@1 39.062 (37.919)	Prec@5 67.578 (67.954)
Epoch: [73][420/7045]	Time 0.110 (0.257)	Data 0.058 (0.190)	Loss 2.4843 (2.5594)	Prec@1 38.672 (37.947)	Prec@5 69.922 (67.977)
Epoch: [73][430/7045]	Time 0.310 (0.257)	Data 0.259 (0.191)	Loss 2.6468 (2.5598)	Prec@1 41.797 (37.940)	Prec@5 66.016 (67.991)
Epoch: [73][440/7045]	Time 0.102 (0.256)	Data 0.001 (0.190)	Loss 2.5661 (2.5603)	Prec@1 38.672 (37.948)	Prec@5 67.578 (67.976)
Epoch: [73][450/7045]	Time 0.108 (0.257)	Data 0.001 (0.190)	Loss 2.6657 (2.5613)	Prec@1 41.016 (37.945)	Prec@5 69.141 (67.964)
Epoch: [73][460/7045]	Time 0.101 (0.256)	Data 0.014 (0.189)	Loss 2.3537 (2.5608)	Prec@1 41.797 (37.956)	Prec@5 73.828 (67.970)
Epoch: [73][470/7045]	Time 0.103 (0.256)	Data 0.002 (0.189)	Loss 2.4497 (2.5610)	Prec@1 41.406 (37.956)	Prec@5 69.141 (67.957)
Epoch: [73][480/7045]	Time 0.250 (0.256)	Data 0.193 (0.189)	Loss 2.6883 (2.5608)	Prec@1 35.156 (37.939)	Prec@5 65.234 (67.966)
Epoch: [73][490/7045]	Time 0.164 (0.256)	Data 0.111 (0.188)	Loss 2.5570 (2.5594)	Prec@1 37.891 (37.958)	Prec@5 69.141 (68.003)
Epoch: [73][500/7045]	Time 0.110 (0.256)	Data 0.011 (0.189)	Loss 2.6912 (2.5600)	Prec@1 33.984 (37.951)	Prec@5 67.188 (67.982)
Epoch: [73][510/7045]	Time 0.501 (0.256)	Data 0.449 (0.189)	Loss 2.5502 (2.5599)	Prec@1 41.406 (37.947)	Prec@5 69.141 (67.999)
Epoch: [73][520/7045]	Time 0.201 (0.256)	Data 0.150 (0.189)	Loss 2.5920 (2.5592)	Prec@1 36.328 (37.962)	Prec@5 63.672 (68.011)
Epoch: [73][530/7045]	Time 0.731 (0.256)	Data 0.679 (0.189)	Loss 2.5111 (2.5611)	Prec@1 34.766 (37.917)	Prec@5 67.969 (67.960)
Epoch: [73][540/7045]	Time 0.288 (0.256)	Data 0.236 (0.189)	Loss 2.6563 (2.5618)	Prec@1 35.547 (37.901)	Prec@5 63.281 (67.951)
Epoch: [73][550/7045]	Time 0.206 (0.256)	Data 0.155 (0.188)	Loss 2.5070 (2.5614)	Prec@1 37.500 (37.896)	Prec@5 69.141 (67.960)
Epoch: [73][560/7045]	Time 0.652 (0.256)	Data 0.600 (0.189)	Loss 2.6488 (2.5606)	Prec@1 37.891 (37.921)	Prec@5 65.234 (67.968)
Epoch: [73][570/7045]	Time 0.103 (0.255)	Data 0.005 (0.188)	Loss 2.4323 (2.5587)	Prec@1 40.234 (37.971)	Prec@5 69.922 (68.013)
Epoch: [73][580/7045]	Time 0.550 (0.256)	Data 0.493 (0.188)	Loss 2.4226 (2.5585)	Prec@1 45.703 (37.994)	Prec@5 70.312 (68.016)
Epoch: [73][590/7045]	Time 0.222 (0.255)	Data 0.163 (0.188)	Loss 2.5318 (2.5592)	Prec@1 37.891 (37.972)	Prec@5 70.703 (68.015)
Epoch: [73][600/7045]	Time 0.165 (0.255)	Data 0.113 (0.188)	Loss 2.2585 (2.5587)	Prec@1 42.969 (37.984)	Prec@5 73.438 (68.016)
Epoch: [73][610/7045]	Time 0.526 (0.256)	Data 0.474 (0.188)	Loss 2.7180 (2.5586)	Prec@1 28.906 (37.965)	Prec@5 64.062 (68.015)
Epoch: [73][620/7045]	Time 0.117 (0.255)	Data 0.064 (0.188)	Loss 2.5877 (2.5585)	Prec@1 35.938 (37.972)	Prec@5 65.234 (68.025)
Epoch: [73][630/7045]	Time 0.309 (0.255)	Data 0.257 (0.188)	Loss 2.4476 (2.5587)	Prec@1 41.016 (37.988)	Prec@5 69.922 (68.031)
Epoch: [73][640/7045]	Time 0.308 (0.255)	Data 0.255 (0.188)	Loss 2.4373 (2.5578)	Prec@1 39.844 (38.028)	Prec@5 68.359 (68.039)
Epoch: [73][650/7045]	Time 0.106 (0.255)	Data 0.053 (0.188)	Loss 2.7662 (2.5587)	Prec@1 32.812 (38.018)	Prec@5 63.672 (68.013)
Epoch: [73][660/7045]	Time 0.310 (0.255)	Data 0.256 (0.188)	Loss 2.6605 (2.5587)	Prec@1 37.109 (38.027)	Prec@5 64.453 (68.017)
Epoch: [73][670/7045]	Time 0.735 (0.256)	Data 0.683 (0.189)	Loss 2.4339 (2.5581)	Prec@1 42.578 (38.044)	Prec@5 70.312 (68.025)
Epoch: [73][680/7045]	Time 0.103 (0.256)	Data 0.001 (0.189)	Loss 2.6910 (2.5584)	Prec@1 31.641 (38.039)	Prec@5 66.406 (68.020)
Epoch: [73][690/7045]	Time 0.109 (0.256)	Data 0.001 (0.189)	Loss 2.6801 (2.5586)	Prec@1 35.547 (38.039)	Prec@5 65.625 (68.021)
Epoch: [73][700/7045]	Time 0.320 (0.256)	Data 0.268 (0.189)	Loss 2.6083 (2.5590)	Prec@1 34.766 (38.034)	Prec@5 67.188 (68.018)
Epoch: [73][710/7045]	Time 0.471 (0.256)	Data 0.419 (0.189)	Loss 2.4740 (2.5599)	Prec@1 42.188 (38.029)	Prec@5 71.484 (67.997)
Epoch: [73][720/7045]	Time 0.110 (0.256)	Data 0.001 (0.189)	Loss 2.6154 (2.5601)	Prec@1 35.156 (38.018)	Prec@5 67.969 (67.999)
Epoch: [73][730/7045]	Time 0.158 (0.256)	Data 0.097 (0.189)	Loss 2.6008 (2.5598)	Prec@1 36.719 (38.020)	Prec@5 65.625 (68.006)
Epoch: [73][740/7045]	Time 0.627 (0.256)	Data 0.574 (0.189)	Loss 2.6929 (2.5603)	Prec@1 33.203 (38.010)	Prec@5 69.141 (67.999)
Epoch: [73][750/7045]	Time 0.294 (0.256)	Data 0.242 (0.189)	Loss 2.5131 (2.5600)	Prec@1 34.375 (38.004)	Prec@5 68.359 (68.009)
Epoch: [73][760/7045]	Time 0.102 (0.256)	Data 0.008 (0.189)	Loss 2.5593 (2.5601)	Prec@1 37.500 (37.994)	Prec@5 66.797 (67.992)
Epoch: [73][770/7045]	Time 0.113 (0.256)	Data 0.061 (0.189)	Loss 2.6353 (2.5606)	Prec@1 39.453 (37.998)	Prec@5 66.016 (67.991)
Epoch: [73][780/7045]	Time 0.102 (0.256)	Data 0.014 (0.189)	Loss 2.5366 (2.5598)	Prec@1 42.188 (38.020)	Prec@5 66.797 (67.995)
Epoch: [73][790/7045]	Time 0.110 (0.256)	Data 0.057 (0.189)	Loss 2.6064 (2.5597)	Prec@1 35.156 (38.021)	Prec@5 67.188 (67.989)
Epoch: [73][800/7045]	Time 0.209 (0.256)	Data 0.156 (0.189)	Loss 2.6210 (2.5598)	Prec@1 34.375 (38.006)	Prec@5 68.359 (67.987)
Epoch: [73][810/7045]	Time 0.101 (0.256)	Data 0.001 (0.189)	Loss 2.8942 (2.5608)	Prec@1 35.156 (38.001)	Prec@5 63.281 (67.979)
Epoch: [73][820/7045]	Time 0.102 (0.256)	Data 0.001 (0.189)	Loss 2.4612 (2.5602)	Prec@1 39.844 (38.017)	Prec@5 70.703 (68.004)
Epoch: [73][830/7045]	Time 0.313 (0.256)	Data 0.261 (0.189)	Loss 2.4425 (2.5601)	Prec@1 40.234 (38.023)	Prec@5 65.234 (67.994)
Epoch: [73][840/7045]	Time 0.168 (0.256)	Data 0.116 (0.189)	Loss 2.5429 (2.5592)	Prec@1 41.797 (38.035)	Prec@5 67.188 (68.002)
Epoch: [73][850/7045]	Time 0.113 (0.256)	Data 0.061 (0.189)	Loss 2.4984 (2.5590)	Prec@1 40.234 (38.032)	Prec@5 66.406 (67.999)
Epoch: [73][860/7045]	Time 0.160 (0.256)	Data 0.108 (0.189)	Loss 2.4593 (2.5585)	Prec@1 41.016 (38.044)	Prec@5 69.922 (68.003)
Epoch: [73][870/7045]	Time 0.495 (0.256)	Data 0.442 (0.189)	Loss 2.5224 (2.5581)	Prec@1 37.500 (38.061)	Prec@5 69.141 (68.007)
Epoch: [73][880/7045]	Time 0.373 (0.256)	Data 0.322 (0.189)	Loss 2.6826 (2.5579)	Prec@1 33.984 (38.067)	Prec@5 69.531 (68.024)
Epoch: [73][890/7045]	Time 0.482 (0.256)	Data 0.431 (0.189)	Loss 2.5983 (2.5578)	Prec@1 37.109 (38.063)	Prec@5 69.531 (68.027)
Epoch: [73][900/7045]	Time 0.101 (0.256)	Data 0.001 (0.189)	Loss 2.6817 (2.5588)	Prec@1 36.328 (38.052)	Prec@5 66.797 (68.008)
Epoch: [73][910/7045]	Time 0.386 (0.256)	Data 0.327 (0.189)	Loss 2.7068 (2.5595)	Prec@1 39.453 (38.053)	Prec@5 64.453 (67.999)
Epoch: [73][920/7045]	Time 0.405 (0.256)	Data 0.353 (0.189)	Loss 2.4952 (2.5586)	Prec@1 36.328 (38.076)	Prec@5 71.484 (68.020)
Epoch: [73][930/7045]	Time 0.102 (0.256)	Data 0.001 (0.189)	Loss 2.5356 (2.5596)	Prec@1 40.625 (38.054)	Prec@5 67.188 (67.999)
Epoch: [73][940/7045]	Time 0.521 (0.256)	Data 0.469 (0.189)	Loss 2.4399 (2.5595)	Prec@1 38.281 (38.045)	Prec@5 70.703 (68.009)
Epoch: [73][950/7045]	Time 0.109 (0.256)	Data 0.001 (0.189)	Loss 2.6048 (2.5591)	Prec@1 39.062 (38.064)	Prec@5 67.578 (68.027)
Epoch: [73][960/7045]	Time 0.546 (0.256)	Data 0.495 (0.189)	Loss 2.5473 (2.5590)	Prec@1 37.109 (38.066)	Prec@5 67.578 (68.019)
Epoch: [73][970/7045]	Time 0.290 (0.256)	Data 0.238 (0.189)	Loss 2.8132 (2.5593)	Prec@1 28.906 (38.058)	Prec@5 64.453 (68.021)
Epoch: [73][980/7045]	Time 0.107 (0.256)	Data 0.001 (0.189)	Loss 2.6940 (2.5596)	Prec@1 35.156 (38.050)	Prec@5 64.844 (68.017)
Epoch: [73][990/7045]	Time 0.389 (0.256)	Data 0.337 (0.189)	Loss 2.5541 (2.5592)	Prec@1 35.156 (38.054)	Prec@5 64.844 (68.016)
Epoch: [73][1000/7045]	Time 0.166 (0.255)	Data 0.115 (0.189)	Loss 2.5533 (2.5595)	Prec@1 36.719 (38.047)	Prec@5 66.797 (68.009)
Epoch: [73][1010/7045]	Time 0.268 (0.256)	Data 0.217 (0.189)	Loss 2.4959 (2.5595)	Prec@1 41.797 (38.060)	Prec@5 69.922 (68.009)
Epoch: [73][1020/7045]	Time 0.102 (0.255)	Data 0.001 (0.189)	Loss 2.7590 (2.5598)	Prec@1 37.109 (38.052)	Prec@5 65.625 (68.003)
Epoch: [73][1030/7045]	Time 0.370 (0.255)	Data 0.318 (0.189)	Loss 2.6421 (2.5602)	Prec@1 32.422 (38.047)	Prec@5 65.234 (67.999)
Epoch: [73][1040/7045]	Time 0.377 (0.255)	Data 0.325 (0.189)	Loss 2.5139 (2.5602)	Prec@1 36.328 (38.046)	Prec@5 68.750 (67.995)
Epoch: [73][1050/7045]	Time 0.103 (0.255)	Data 0.001 (0.189)	Loss 2.4342 (2.5599)	Prec@1 41.016 (38.063)	Prec@5 70.703 (68.002)
Epoch: [73][1060/7045]	Time 0.102 (0.255)	Data 0.001 (0.188)	Loss 2.7674 (2.5598)	Prec@1 34.375 (38.071)	Prec@5 63.281 (67.993)
Epoch: [73][1070/7045]	Time 0.112 (0.255)	Data 0.059 (0.188)	Loss 2.5151 (2.5598)	Prec@1 41.406 (38.064)	Prec@5 68.750 (67.995)
Epoch: [73][1080/7045]	Time 0.540 (0.255)	Data 0.488 (0.189)	Loss 2.8719 (2.5601)	Prec@1 33.984 (38.069)	Prec@5 63.672 (67.983)
Epoch: [73][1090/7045]	Time 0.199 (0.255)	Data 0.148 (0.188)	Loss 2.5753 (2.5604)	Prec@1 39.453 (38.073)	Prec@5 69.141 (67.973)
Epoch: [73][1100/7045]	Time 0.166 (0.255)	Data 0.113 (0.188)	Loss 2.6405 (2.5605)	Prec@1 35.938 (38.063)	Prec@5 67.969 (67.972)
Epoch: [73][1110/7045]	Time 0.101 (0.254)	Data 0.009 (0.188)	Loss 2.6209 (2.5608)	Prec@1 38.672 (38.066)	Prec@5 64.453 (67.969)
Epoch: [73][1120/7045]	Time 0.252 (0.255)	Data 0.184 (0.188)	Loss 2.5586 (2.5611)	Prec@1 40.234 (38.060)	Prec@5 70.312 (67.966)
Epoch: [73][1130/7045]	Time 0.102 (0.254)	Data 0.001 (0.188)	Loss 2.6693 (2.5605)	Prec@1 39.453 (38.082)	Prec@5 67.969 (67.980)
Epoch: [73][1140/7045]	Time 0.160 (0.254)	Data 0.108 (0.188)	Loss 2.7478 (2.5604)	Prec@1 37.109 (38.091)	Prec@5 66.016 (67.979)
Epoch: [73][1150/7045]	Time 0.610 (0.255)	Data 0.552 (0.188)	Loss 2.6576 (2.5600)	Prec@1 36.719 (38.088)	Prec@5 65.234 (67.989)
Epoch: [73][1160/7045]	Time 0.106 (0.254)	Data 0.053 (0.188)	Loss 2.5537 (2.5603)	Prec@1 34.375 (38.082)	Prec@5 70.312 (67.989)
Epoch: [73][1170/7045]	Time 0.215 (0.254)	Data 0.163 (0.188)	Loss 2.7964 (2.5603)	Prec@1 35.938 (38.085)	Prec@5 62.109 (67.984)
Epoch: [73][1180/7045]	Time 0.102 (0.254)	Data 0.001 (0.187)	Loss 2.3704 (2.5603)	Prec@1 38.672 (38.078)	Prec@5 73.047 (67.981)
Epoch: [73][1190/7045]	Time 0.197 (0.254)	Data 0.144 (0.187)	Loss 2.5531 (2.5605)	Prec@1 36.328 (38.075)	Prec@5 67.969 (67.987)
Epoch: [73][1200/7045]	Time 0.279 (0.254)	Data 0.227 (0.187)	Loss 2.6595 (2.5606)	Prec@1 39.844 (38.091)	Prec@5 62.891 (67.984)
Epoch: [73][1210/7045]	Time 0.108 (0.254)	Data 0.001 (0.187)	Loss 2.3630 (2.5600)	Prec@1 39.062 (38.101)	Prec@5 73.047 (67.994)
Epoch: [73][1220/7045]	Time 0.619 (0.254)	Data 0.558 (0.188)	Loss 2.4207 (2.5595)	Prec@1 42.969 (38.107)	Prec@5 71.094 (68.002)
Epoch: [73][1230/7045]	Time 0.370 (0.254)	Data 0.319 (0.187)	Loss 2.5586 (2.5599)	Prec@1 36.719 (38.099)	Prec@5 69.922 (67.994)
Epoch: [73][1240/7045]	Time 0.111 (0.254)	Data 0.058 (0.187)	Loss 2.4976 (2.5593)	Prec@1 39.844 (38.112)	Prec@5 69.141 (68.004)
Epoch: [73][1250/7045]	Time 0.829 (0.254)	Data 0.777 (0.188)	Loss 2.4829 (2.5589)	Prec@1 39.453 (38.115)	Prec@5 70.703 (68.010)
Epoch: [73][1260/7045]	Time 0.118 (0.254)	Data 0.065 (0.187)	Loss 2.4925 (2.5587)	Prec@1 40.234 (38.113)	Prec@5 71.875 (68.023)
Epoch: [73][1270/7045]	Time 0.427 (0.254)	Data 0.374 (0.187)	Loss 2.5733 (2.5584)	Prec@1 39.453 (38.121)	Prec@5 66.406 (68.027)
Epoch: [73][1280/7045]	Time 0.248 (0.254)	Data 0.196 (0.187)	Loss 2.8415 (2.5584)	Prec@1 34.766 (38.123)	Prec@5 64.062 (68.018)
Epoch: [73][1290/7045]	Time 0.110 (0.254)	Data 0.057 (0.187)	Loss 2.5901 (2.5584)	Prec@1 36.328 (38.122)	Prec@5 70.312 (68.012)
Epoch: [73][1300/7045]	Time 0.551 (0.254)	Data 0.499 (0.187)	Loss 2.5488 (2.5588)	Prec@1 37.891 (38.113)	Prec@5 64.062 (68.000)
Epoch: [73][1310/7045]	Time 0.122 (0.253)	Data 0.060 (0.187)	Loss 2.6123 (2.5588)	Prec@1 41.797 (38.122)	Prec@5 69.141 (67.998)
Epoch: [73][1320/7045]	Time 0.561 (0.254)	Data 0.509 (0.187)	Loss 2.5119 (2.5586)	Prec@1 39.453 (38.127)	Prec@5 67.969 (68.003)
Epoch: [73][1330/7045]	Time 0.102 (0.253)	Data 0.002 (0.187)	Loss 2.6036 (2.5588)	Prec@1 42.188 (38.115)	Prec@5 66.016 (68.005)
Epoch: [73][1340/7045]	Time 0.271 (0.253)	Data 0.219 (0.187)	Loss 2.6016 (2.5587)	Prec@1 41.016 (38.129)	Prec@5 67.969 (68.002)
Epoch: [73][1350/7045]	Time 0.220 (0.253)	Data 0.168 (0.187)	Loss 2.5664 (2.5583)	Prec@1 39.453 (38.142)	Prec@5 67.578 (68.017)
Epoch: [73][1360/7045]	Time 0.473 (0.253)	Data 0.421 (0.187)	Loss 2.5988 (2.5582)	Prec@1 36.719 (38.134)	Prec@5 63.672 (68.017)
Epoch: [73][1370/7045]	Time 0.374 (0.253)	Data 0.322 (0.187)	Loss 2.6577 (2.5586)	Prec@1 32.812 (38.125)	Prec@5 62.500 (67.999)
Epoch: [73][1380/7045]	Time 0.127 (0.253)	Data 0.074 (0.187)	Loss 2.5422 (2.5583)	Prec@1 38.672 (38.132)	Prec@5 66.406 (68.006)
Epoch: [73][1390/7045]	Time 0.288 (0.253)	Data 0.228 (0.187)	Loss 2.6094 (2.5583)	Prec@1 35.547 (38.132)	Prec@5 66.797 (68.004)
Epoch: [73][1400/7045]	Time 0.103 (0.253)	Data 0.001 (0.187)	Loss 2.4909 (2.5579)	Prec@1 40.625 (38.136)	Prec@5 66.406 (68.012)
Epoch: [73][1410/7045]	Time 0.344 (0.253)	Data 0.291 (0.187)	Loss 2.4760 (2.5577)	Prec@1 40.234 (38.145)	Prec@5 71.484 (68.009)
Epoch: [73][1420/7045]	Time 0.230 (0.253)	Data 0.170 (0.187)	Loss 2.7478 (2.5577)	Prec@1 38.672 (38.147)	Prec@5 66.016 (68.004)
Epoch: [73][1430/7045]	Time 0.102 (0.253)	Data 0.016 (0.187)	Loss 2.5411 (2.5576)	Prec@1 35.938 (38.146)	Prec@5 69.141 (67.998)
Epoch: [73][1440/7045]	Time 0.137 (0.253)	Data 0.085 (0.187)	Loss 2.6854 (2.5578)	Prec@1 33.984 (38.144)	Prec@5 67.578 (67.987)
Epoch: [73][1450/7045]	Time 0.594 (0.253)	Data 0.533 (0.187)	Loss 2.5572 (2.5582)	Prec@1 37.891 (38.131)	Prec@5 67.969 (67.984)
Epoch: [73][1460/7045]	Time 0.139 (0.253)	Data 0.087 (0.187)	Loss 2.2889 (2.5573)	Prec@1 41.797 (38.143)	Prec@5 76.172 (68.003)
Epoch: [73][1470/7045]	Time 0.102 (0.253)	Data 0.006 (0.187)	Loss 2.5230 (2.5570)	Prec@1 36.328 (38.146)	Prec@5 71.094 (68.010)
Epoch: [73][1480/7045]	Time 0.102 (0.253)	Data 0.001 (0.187)	Loss 2.4221 (2.5568)	Prec@1 42.969 (38.153)	Prec@5 71.094 (68.014)
Epoch: [73][1490/7045]	Time 0.102 (0.253)	Data 0.007 (0.187)	Loss 2.6144 (2.5571)	Prec@1 32.422 (38.142)	Prec@5 66.406 (68.008)
Epoch: [73][1500/7045]	Time 0.363 (0.253)	Data 0.304 (0.187)	Loss 2.5414 (2.5570)	Prec@1 37.109 (38.150)	Prec@5 67.188 (68.006)
Epoch: [73][1510/7045]	Time 0.101 (0.253)	Data 0.001 (0.187)	Loss 2.5191 (2.5573)	Prec@1 33.984 (38.141)	Prec@5 69.922 (68.006)
Epoch: [73][1520/7045]	Time 0.122 (0.253)	Data 0.070 (0.187)	Loss 2.3616 (2.5572)	Prec@1 44.141 (38.140)	Prec@5 71.484 (68.009)
Epoch: [73][1530/7045]	Time 0.103 (0.253)	Data 0.001 (0.186)	Loss 2.3889 (2.5573)	Prec@1 41.406 (38.142)	Prec@5 71.875 (68.006)
Epoch: [73][1540/7045]	Time 0.108 (0.253)	Data 0.006 (0.186)	Loss 2.7094 (2.5575)	Prec@1 34.766 (38.136)	Prec@5 64.062 (68.008)
Epoch: [73][1550/7045]	Time 0.209 (0.253)	Data 0.157 (0.186)	Loss 2.6679 (2.5576)	Prec@1 35.156 (38.137)	Prec@5 65.234 (68.007)
Epoch: [73][1560/7045]	Time 0.102 (0.253)	Data 0.002 (0.186)	Loss 2.4789 (2.5575)	Prec@1 41.016 (38.137)	Prec@5 70.312 (68.011)
Epoch: [73][1570/7045]	Time 0.457 (0.253)	Data 0.405 (0.187)	Loss 2.4720 (2.5576)	Prec@1 36.719 (38.132)	Prec@5 70.703 (68.014)
Epoch: [73][1580/7045]	Time 0.434 (0.253)	Data 0.382 (0.186)	Loss 2.4065 (2.5576)	Prec@1 36.719 (38.128)	Prec@5 73.438 (68.018)
Epoch: [73][1590/7045]	Time 0.103 (0.253)	Data 0.005 (0.186)	Loss 2.5938 (2.5576)	Prec@1 39.062 (38.130)	Prec@5 67.578 (68.020)
Epoch: [73][1600/7045]	Time 0.622 (0.253)	Data 0.571 (0.186)	Loss 2.7224 (2.5579)	Prec@1 34.375 (38.112)	Prec@5 66.016 (68.021)
Epoch: [73][1610/7045]	Time 0.295 (0.253)	Data 0.243 (0.186)	Loss 2.5866 (2.5581)	Prec@1 34.375 (38.101)	Prec@5 70.703 (68.020)
Epoch: [73][1620/7045]	Time 0.351 (0.253)	Data 0.294 (0.186)	Loss 2.6727 (2.5583)	Prec@1 37.109 (38.098)	Prec@5 64.844 (68.016)
Epoch: [73][1630/7045]	Time 0.424 (0.253)	Data 0.372 (0.186)	Loss 2.7473 (2.5587)	Prec@1 38.281 (38.093)	Prec@5 63.672 (68.006)
Epoch: [73][1640/7045]	Time 0.103 (0.253)	Data 0.004 (0.186)	Loss 2.4593 (2.5587)	Prec@1 41.016 (38.092)	Prec@5 71.875 (68.000)
Epoch: [73][1650/7045]	Time 0.557 (0.253)	Data 0.504 (0.186)	Loss 2.6403 (2.5589)	Prec@1 39.453 (38.095)	Prec@5 67.578 (67.999)
Epoch: [73][1660/7045]	Time 0.103 (0.253)	Data 0.001 (0.186)	Loss 2.5431 (2.5588)	Prec@1 38.672 (38.097)	Prec@5 70.312 (68.002)
Epoch: [73][1670/7045]	Time 0.415 (0.253)	Data 0.363 (0.186)	Loss 2.3317 (2.5585)	Prec@1 42.188 (38.098)	Prec@5 70.703 (68.004)
Epoch: [73][1680/7045]	Time 0.194 (0.252)	Data 0.141 (0.186)	Loss 2.5491 (2.5585)	Prec@1 36.328 (38.095)	Prec@5 69.922 (68.010)
Epoch: [73][1690/7045]	Time 0.102 (0.253)	Data 0.004 (0.186)	Loss 2.6431 (2.5588)	Prec@1 37.109 (38.089)	Prec@5 64.453 (68.004)
Epoch: [73][1700/7045]	Time 0.371 (0.253)	Data 0.319 (0.186)	Loss 2.5410 (2.5586)	Prec@1 37.109 (38.096)	Prec@5 66.797 (68.007)
Epoch: [73][1710/7045]	Time 0.103 (0.253)	Data 0.001 (0.186)	Loss 2.5703 (2.5587)	Prec@1 38.672 (38.089)	Prec@5 68.359 (68.007)
Epoch: [73][1720/7045]	Time 0.305 (0.253)	Data 0.253 (0.186)	Loss 2.6736 (2.5587)	Prec@1 34.766 (38.088)	Prec@5 60.938 (68.004)
Epoch: [73][1730/7045]	Time 0.162 (0.252)	Data 0.109 (0.186)	Loss 2.5220 (2.5589)	Prec@1 39.062 (38.078)	Prec@5 67.578 (68.002)
Epoch: [73][1740/7045]	Time 0.110 (0.253)	Data 0.058 (0.186)	Loss 2.6184 (2.5586)	Prec@1 39.062 (38.086)	Prec@5 67.188 (68.011)
Epoch: [73][1750/7045]	Time 0.277 (0.252)	Data 0.226 (0.186)	Loss 2.2978 (2.5584)	Prec@1 40.625 (38.086)	Prec@5 74.219 (68.016)
Epoch: [73][1760/7045]	Time 0.144 (0.252)	Data 0.092 (0.186)	Loss 2.6177 (2.5585)	Prec@1 30.078 (38.084)	Prec@5 66.797 (68.014)
Epoch: [73][1770/7045]	Time 0.102 (0.253)	Data 0.005 (0.186)	Loss 2.5485 (2.5587)	Prec@1 42.188 (38.086)	Prec@5 66.797 (68.010)
Epoch: [73][1780/7045]	Time 0.261 (0.252)	Data 0.208 (0.186)	Loss 2.5015 (2.5586)	Prec@1 41.406 (38.084)	Prec@5 68.750 (68.015)
Epoch: [73][1790/7045]	Time 0.392 (0.253)	Data 0.340 (0.186)	Loss 2.4862 (2.5585)	Prec@1 36.328 (38.088)	Prec@5 66.797 (68.015)
Epoch: [73][1800/7045]	Time 0.400 (0.252)	Data 0.347 (0.186)	Loss 2.7360 (2.5588)	Prec@1 33.984 (38.082)	Prec@5 64.453 (68.012)
Epoch: [73][1810/7045]	Time 0.102 (0.252)	Data 0.044 (0.186)	Loss 2.3452 (2.5588)	Prec@1 44.922 (38.085)	Prec@5 69.531 (68.004)
Epoch: [73][1820/7045]	Time 0.102 (0.252)	Data 0.002 (0.186)	Loss 2.7091 (2.5589)	Prec@1 35.547 (38.085)	Prec@5 66.406 (67.998)
Epoch: [73][1830/7045]	Time 0.714 (0.253)	Data 0.654 (0.186)	Loss 2.5466 (2.5587)	Prec@1 41.016 (38.092)	Prec@5 69.531 (67.997)
Epoch: [73][1840/7045]	Time 0.203 (0.252)	Data 0.151 (0.186)	Loss 2.5325 (2.5586)	Prec@1 38.281 (38.091)	Prec@5 69.141 (68.004)
Epoch: [73][1850/7045]	Time 0.158 (0.252)	Data 0.106 (0.186)	Loss 2.4504 (2.5583)	Prec@1 38.281 (38.094)	Prec@5 67.969 (68.008)
Epoch: [73][1860/7045]	Time 0.564 (0.253)	Data 0.511 (0.186)	Loss 2.4418 (2.5587)	Prec@1 41.016 (38.088)	Prec@5 68.750 (68.001)
Epoch: [73][1870/7045]	Time 0.110 (0.252)	Data 0.001 (0.186)	Loss 2.5132 (2.5580)	Prec@1 37.500 (38.106)	Prec@5 68.359 (68.012)
Epoch: [73][1880/7045]	Time 0.102 (0.252)	Data 0.001 (0.186)	Loss 2.4494 (2.5576)	Prec@1 40.234 (38.111)	Prec@5 68.750 (68.023)
Epoch: [73][1890/7045]	Time 0.306 (0.253)	Data 0.256 (0.186)	Loss 2.5385 (2.5577)	Prec@1 38.281 (38.109)	Prec@5 65.625 (68.017)
Epoch: [73][1900/7045]	Time 0.619 (0.253)	Data 0.566 (0.186)	Loss 2.5551 (2.5576)	Prec@1 39.844 (38.110)	Prec@5 69.141 (68.022)
Epoch: [73][1910/7045]	Time 0.109 (0.253)	Data 0.057 (0.186)	Loss 2.6892 (2.5577)	Prec@1 37.500 (38.110)	Prec@5 67.578 (68.014)
Epoch: [73][1920/7045]	Time 0.102 (0.253)	Data 0.001 (0.186)	Loss 2.6265 (2.5579)	Prec@1 38.281 (38.105)	Prec@5 63.672 (68.008)
Epoch: [73][1930/7045]	Time 0.107 (0.253)	Data 0.055 (0.186)	Loss 2.9632 (2.5582)	Prec@1 35.156 (38.104)	Prec@5 62.109 (68.005)
Epoch: [73][1940/7045]	Time 0.181 (0.253)	Data 0.123 (0.187)	Loss 2.4387 (2.5589)	Prec@1 39.453 (38.093)	Prec@5 70.703 (67.992)
Epoch: [73][1950/7045]	Time 0.259 (0.253)	Data 0.208 (0.186)	Loss 2.6086 (2.5589)	Prec@1 39.453 (38.093)	Prec@5 65.234 (67.993)
Epoch: [73][1960/7045]	Time 0.276 (0.253)	Data 0.225 (0.187)	Loss 2.5242 (2.5590)	Prec@1 39.062 (38.093)	Prec@5 70.312 (67.993)
Epoch: [73][1970/7045]	Time 0.393 (0.253)	Data 0.341 (0.187)	Loss 2.6585 (2.5591)	Prec@1 35.938 (38.090)	Prec@5 63.672 (67.987)
Epoch: [73][1980/7045]	Time 0.394 (0.253)	Data 0.342 (0.187)	Loss 2.5086 (2.5592)	Prec@1 41.797 (38.094)	Prec@5 66.797 (67.983)
Epoch: [73][1990/7045]	Time 0.102 (0.253)	Data 0.001 (0.187)	Loss 2.5773 (2.5591)	Prec@1 38.281 (38.094)	Prec@5 68.359 (67.986)
Epoch: [73][2000/7045]	Time 0.584 (0.253)	Data 0.532 (0.187)	Loss 2.3442 (2.5590)	Prec@1 40.625 (38.096)	Prec@5 73.047 (67.992)
Epoch: [73][2010/7045]	Time 0.180 (0.253)	Data 0.129 (0.187)	Loss 2.6520 (2.5592)	Prec@1 37.109 (38.091)	Prec@5 66.797 (67.985)
Epoch: [73][2020/7045]	Time 0.102 (0.253)	Data 0.004 (0.187)	Loss 2.4632 (2.5591)	Prec@1 39.062 (38.092)	Prec@5 69.531 (67.991)
Epoch: [73][2030/7045]	Time 0.205 (0.253)	Data 0.153 (0.187)	Loss 2.3639 (2.5593)	Prec@1 43.750 (38.094)	Prec@5 71.875 (67.985)
Epoch: [73][2040/7045]	Time 0.186 (0.253)	Data 0.133 (0.187)	Loss 2.6384 (2.5595)	Prec@1 39.062 (38.097)	Prec@5 66.406 (67.979)
Epoch: [73][2050/7045]	Time 0.497 (0.253)	Data 0.445 (0.187)	Loss 2.4754 (2.5591)	Prec@1 36.328 (38.099)	Prec@5 70.312 (67.993)
Epoch: [73][2060/7045]	Time 0.202 (0.253)	Data 0.151 (0.187)	Loss 2.5040 (2.5591)	Prec@1 41.016 (38.096)	Prec@5 69.141 (67.992)
Epoch: [73][2070/7045]	Time 0.595 (0.253)	Data 0.542 (0.187)	Loss 2.5348 (2.5590)	Prec@1 38.281 (38.093)	Prec@5 68.750 (67.998)
Epoch: [73][2080/7045]	Time 0.357 (0.253)	Data 0.305 (0.187)	Loss 2.5045 (2.5587)	Prec@1 37.891 (38.099)	Prec@5 70.312 (68.005)
Epoch: [73][2090/7045]	Time 0.166 (0.253)	Data 0.107 (0.187)	Loss 2.3861 (2.5587)	Prec@1 39.062 (38.099)	Prec@5 71.094 (68.003)
Epoch: [73][2100/7045]	Time 0.675 (0.253)	Data 0.622 (0.187)	Loss 2.4738 (2.5587)	Prec@1 41.016 (38.094)	Prec@5 67.188 (67.996)
Epoch: [73][2110/7045]	Time 0.100 (0.253)	Data 0.001 (0.187)	Loss 2.3914 (2.5586)	Prec@1 40.625 (38.099)	Prec@5 69.531 (67.998)
Epoch: [73][2120/7045]	Time 0.600 (0.253)	Data 0.548 (0.187)	Loss 2.5545 (2.5583)	Prec@1 37.500 (38.107)	Prec@5 64.453 (68.000)
Epoch: [73][2130/7045]	Time 0.288 (0.253)	Data 0.237 (0.186)	Loss 2.6460 (2.5582)	Prec@1 37.109 (38.114)	Prec@5 65.625 (68.004)
Epoch: [73][2140/7045]	Time 0.112 (0.253)	Data 0.059 (0.187)	Loss 2.4367 (2.5582)	Prec@1 40.234 (38.116)	Prec@5 68.359 (67.997)
Epoch: [73][2150/7045]	Time 0.650 (0.253)	Data 0.593 (0.187)	Loss 2.8423 (2.5584)	Prec@1 33.594 (38.111)	Prec@5 65.234 (67.992)
Epoch: [73][2160/7045]	Time 0.103 (0.253)	Data 0.001 (0.186)	Loss 2.5109 (2.5584)	Prec@1 39.453 (38.114)	Prec@5 71.094 (67.996)
Epoch: [73][2170/7045]	Time 0.206 (0.253)	Data 0.154 (0.186)	Loss 2.6696 (2.5584)	Prec@1 35.156 (38.121)	Prec@5 64.453 (67.994)
Epoch: [73][2180/7045]	Time 0.292 (0.253)	Data 0.241 (0.187)	Loss 2.2584 (2.5580)	Prec@1 45.703 (38.128)	Prec@5 74.219 (68.000)
Epoch: [73][2190/7045]	Time 0.210 (0.253)	Data 0.158 (0.187)	Loss 2.4536 (2.5579)	Prec@1 41.797 (38.132)	Prec@5 74.219 (68.004)
Epoch: [73][2200/7045]	Time 0.110 (0.253)	Data 0.001 (0.187)	Loss 2.6503 (2.5583)	Prec@1 31.641 (38.127)	Prec@5 66.797 (67.998)
Epoch: [73][2210/7045]	Time 0.204 (0.253)	Data 0.153 (0.187)	Loss 2.5289 (2.5582)	Prec@1 37.891 (38.129)	Prec@5 69.531 (68.001)
Epoch: [73][2220/7045]	Time 0.284 (0.253)	Data 0.232 (0.187)	Loss 2.4135 (2.5582)	Prec@1 42.188 (38.128)	Prec@5 71.484 (68.003)
Epoch: [73][2230/7045]	Time 0.109 (0.253)	Data 0.056 (0.187)	Loss 2.6651 (2.5584)	Prec@1 36.719 (38.130)	Prec@5 66.797 (67.999)
Epoch: [73][2240/7045]	Time 0.102 (0.253)	Data 0.001 (0.186)	Loss 2.4446 (2.5584)	Prec@1 41.797 (38.132)	Prec@5 71.875 (68.001)
Epoch: [73][2250/7045]	Time 0.394 (0.253)	Data 0.342 (0.187)	Loss 2.6028 (2.5586)	Prec@1 38.281 (38.131)	Prec@5 64.844 (67.995)
Epoch: [73][2260/7045]	Time 0.323 (0.253)	Data 0.271 (0.187)	Loss 2.6747 (2.5585)	Prec@1 34.766 (38.136)	Prec@5 58.203 (67.993)
Epoch: [73][2270/7045]	Time 0.183 (0.253)	Data 0.131 (0.187)	Loss 2.3524 (2.5587)	Prec@1 42.188 (38.133)	Prec@5 70.703 (67.986)
Epoch: [73][2280/7045]	Time 0.314 (0.253)	Data 0.263 (0.187)	Loss 2.4108 (2.5585)	Prec@1 44.922 (38.139)	Prec@5 71.484 (67.989)
Epoch: [73][2290/7045]	Time 0.303 (0.253)	Data 0.253 (0.187)	Loss 2.5061 (2.5585)	Prec@1 36.328 (38.145)	Prec@5 69.141 (67.986)
Epoch: [73][2300/7045]	Time 0.101 (0.253)	Data 0.004 (0.187)	Loss 2.5832 (2.5584)	Prec@1 45.312 (38.151)	Prec@5 69.531 (67.993)
Epoch: [73][2310/7045]	Time 0.624 (0.253)	Data 0.572 (0.187)	Loss 2.5459 (2.5580)	Prec@1 35.938 (38.160)	Prec@5 64.062 (67.996)
Epoch: [73][2320/7045]	Time 0.102 (0.253)	Data 0.001 (0.187)	Loss 2.5827 (2.5577)	Prec@1 37.109 (38.165)	Prec@5 66.797 (67.999)
Epoch: [73][2330/7045]	Time 0.102 (0.253)	Data 0.014 (0.187)	Loss 2.3731 (2.5580)	Prec@1 40.625 (38.165)	Prec@5 74.609 (67.993)
Epoch: [73][2340/7045]	Time 0.217 (0.253)	Data 0.164 (0.187)	Loss 2.3110 (2.5579)	Prec@1 39.453 (38.163)	Prec@5 72.266 (67.994)
Epoch: [73][2350/7045]	Time 0.385 (0.253)	Data 0.333 (0.187)	Loss 2.5975 (2.5581)	Prec@1 37.500 (38.161)	Prec@5 69.141 (67.989)
Epoch: [73][2360/7045]	Time 0.231 (0.253)	Data 0.179 (0.187)	Loss 2.5375 (2.5582)	Prec@1 37.500 (38.158)	Prec@5 72.266 (67.983)
Epoch: [73][2370/7045]	Time 0.102 (0.253)	Data 0.050 (0.187)	Loss 2.5630 (2.5579)	Prec@1 32.812 (38.167)	Prec@5 69.141 (67.987)
Epoch: [73][2380/7045]	Time 0.217 (0.253)	Data 0.165 (0.187)	Loss 2.5483 (2.5580)	Prec@1 38.281 (38.162)	Prec@5 69.922 (67.984)
Epoch: [73][2390/7045]	Time 0.195 (0.253)	Data 0.144 (0.187)	Loss 2.5891 (2.5579)	Prec@1 37.891 (38.163)	Prec@5 68.750 (67.988)
Epoch: [73][2400/7045]	Time 0.530 (0.253)	Data 0.477 (0.187)	Loss 2.6834 (2.5581)	Prec@1 37.109 (38.161)	Prec@5 64.844 (67.985)
Epoch: [73][2410/7045]	Time 0.225 (0.253)	Data 0.175 (0.187)	Loss 2.4797 (2.5580)	Prec@1 37.500 (38.161)	Prec@5 71.484 (67.989)
Epoch: [73][2420/7045]	Time 0.157 (0.253)	Data 0.105 (0.187)	Loss 2.5676 (2.5580)	Prec@1 40.234 (38.166)	Prec@5 67.969 (67.988)
Epoch: [73][2430/7045]	Time 0.239 (0.252)	Data 0.187 (0.187)	Loss 2.5168 (2.5578)	Prec@1 37.109 (38.170)	Prec@5 69.531 (67.993)
Epoch: [73][2440/7045]	Time 0.185 (0.253)	Data 0.134 (0.187)	Loss 2.6239 (2.5576)	Prec@1 38.672 (38.170)	Prec@5 66.016 (67.994)
Epoch: [73][2450/7045]	Time 0.192 (0.253)	Data 0.141 (0.187)	Loss 2.4795 (2.5580)	Prec@1 42.578 (38.162)	Prec@5 67.188 (67.988)
Epoch: [73][2460/7045]	Time 0.102 (0.252)	Data 0.005 (0.187)	Loss 2.7950 (2.5580)	Prec@1 33.594 (38.163)	Prec@5 66.016 (67.987)
Epoch: [73][2470/7045]	Time 0.249 (0.253)	Data 0.198 (0.187)	Loss 2.5200 (2.5581)	Prec@1 39.844 (38.164)	Prec@5 70.312 (67.986)
Epoch: [73][2480/7045]	Time 0.196 (0.253)	Data 0.144 (0.187)	Loss 2.5138 (2.5581)	Prec@1 37.500 (38.162)	Prec@5 67.188 (67.986)
Epoch: [73][2490/7045]	Time 0.126 (0.252)	Data 0.074 (0.187)	Loss 2.4130 (2.5581)	Prec@1 40.234 (38.158)	Prec@5 68.750 (67.984)
Epoch: [73][2500/7045]	Time 0.193 (0.253)	Data 0.140 (0.187)	Loss 2.2125 (2.5582)	Prec@1 42.578 (38.155)	Prec@5 76.953 (67.983)
Epoch: [73][2510/7045]	Time 0.196 (0.252)	Data 0.144 (0.187)	Loss 2.4418 (2.5582)	Prec@1 39.453 (38.156)	Prec@5 71.094 (67.985)
Epoch: [73][2520/7045]	Time 0.108 (0.252)	Data 0.055 (0.187)	Loss 2.6597 (2.5582)	Prec@1 33.594 (38.155)	Prec@5 66.016 (67.984)
Epoch: [73][2530/7045]	Time 0.116 (0.253)	Data 0.064 (0.187)	Loss 2.5252 (2.5584)	Prec@1 38.672 (38.148)	Prec@5 69.922 (67.983)
Epoch: [73][2540/7045]	Time 0.103 (0.252)	Data 0.001 (0.187)	Loss 2.5644 (2.5584)	Prec@1 37.109 (38.147)	Prec@5 66.016 (67.981)
Epoch: [73][2550/7045]	Time 0.101 (0.252)	Data 0.004 (0.187)	Loss 2.6334 (2.5587)	Prec@1 37.109 (38.148)	Prec@5 65.625 (67.978)
Epoch: [73][2560/7045]	Time 0.416 (0.252)	Data 0.363 (0.187)	Loss 2.4421 (2.5587)	Prec@1 42.969 (38.150)	Prec@5 70.703 (67.973)
Epoch: [73][2570/7045]	Time 0.107 (0.252)	Data 0.053 (0.187)	Loss 2.5545 (2.5588)	Prec@1 36.719 (38.147)	Prec@5 67.578 (67.970)
Epoch: [73][2580/7045]	Time 0.276 (0.253)	Data 0.226 (0.187)	Loss 2.4809 (2.5586)	Prec@1 37.500 (38.151)	Prec@5 68.359 (67.972)
Epoch: [73][2590/7045]	Time 0.208 (0.253)	Data 0.155 (0.187)	Loss 2.4542 (2.5589)	Prec@1 40.234 (38.145)	Prec@5 70.312 (67.974)
Epoch: [73][2600/7045]	Time 0.102 (0.253)	Data 0.006 (0.187)	Loss 2.6100 (2.5590)	Prec@1 39.062 (38.141)	Prec@5 64.453 (67.971)
Epoch: [73][2610/7045]	Time 0.119 (0.253)	Data 0.061 (0.187)	Loss 2.4267 (2.5591)	Prec@1 43.359 (38.138)	Prec@5 67.969 (67.969)
Epoch: [73][2620/7045]	Time 0.423 (0.253)	Data 0.371 (0.187)	Loss 2.5437 (2.5591)	Prec@1 39.453 (38.138)	Prec@5 72.266 (67.968)
Epoch: [73][2630/7045]	Time 0.146 (0.253)	Data 0.096 (0.187)	Loss 2.5550 (2.5590)	Prec@1 38.672 (38.141)	Prec@5 66.406 (67.971)
Epoch: [73][2640/7045]	Time 0.391 (0.253)	Data 0.339 (0.187)	Loss 2.5485 (2.5589)	Prec@1 37.891 (38.144)	Prec@5 66.797 (67.970)
Epoch: [73][2650/7045]	Time 0.102 (0.252)	Data 0.011 (0.187)	Loss 2.5761 (2.5589)	Prec@1 37.500 (38.149)	Prec@5 66.797 (67.966)
Epoch: [73][2660/7045]	Time 0.234 (0.253)	Data 0.182 (0.187)	Loss 2.6826 (2.5590)	Prec@1 38.672 (38.142)	Prec@5 66.406 (67.965)
Epoch: [73][2670/7045]	Time 0.229 (0.252)	Data 0.176 (0.187)	Loss 2.6806 (2.5588)	Prec@1 37.109 (38.149)	Prec@5 67.578 (67.973)
Epoch: [73][2680/7045]	Time 0.206 (0.253)	Data 0.155 (0.187)	Loss 2.5601 (2.5589)	Prec@1 36.719 (38.146)	Prec@5 66.016 (67.971)
Epoch: [73][2690/7045]	Time 0.218 (0.252)	Data 0.165 (0.187)	Loss 2.6092 (2.5589)	Prec@1 38.281 (38.145)	Prec@5 65.625 (67.970)
Epoch: [73][2700/7045]	Time 0.240 (0.252)	Data 0.189 (0.187)	Loss 2.6358 (2.5589)	Prec@1 37.109 (38.144)	Prec@5 66.797 (67.975)
Epoch: [73][2710/7045]	Time 0.410 (0.252)	Data 0.359 (0.187)	Loss 2.6496 (2.5589)	Prec@1 32.812 (38.140)	Prec@5 67.188 (67.977)
Epoch: [73][2720/7045]	Time 0.230 (0.252)	Data 0.177 (0.187)	Loss 2.4545 (2.5592)	Prec@1 41.406 (38.138)	Prec@5 70.703 (67.967)
Epoch: [73][2730/7045]	Time 0.144 (0.252)	Data 0.092 (0.187)	Loss 2.4691 (2.5592)	Prec@1 40.234 (38.142)	Prec@5 67.969 (67.966)
Epoch: [73][2740/7045]	Time 0.201 (0.252)	Data 0.149 (0.187)	Loss 2.5569 (2.5592)	Prec@1 37.500 (38.140)	Prec@5 67.578 (67.966)
Epoch: [73][2750/7045]	Time 0.429 (0.252)	Data 0.372 (0.187)	Loss 2.5442 (2.5593)	Prec@1 41.797 (38.133)	Prec@5 69.531 (67.965)
Epoch: [73][2760/7045]	Time 0.552 (0.253)	Data 0.501 (0.187)	Loss 2.4984 (2.5592)	Prec@1 39.453 (38.131)	Prec@5 66.406 (67.965)
Epoch: [73][2770/7045]	Time 0.103 (0.253)	Data 0.001 (0.187)	Loss 2.3719 (2.5592)	Prec@1 45.312 (38.133)	Prec@5 70.703 (67.967)
Epoch: [73][2780/7045]	Time 0.103 (0.252)	Data 0.001 (0.187)	Loss 2.5902 (2.5596)	Prec@1 34.375 (38.128)	Prec@5 67.969 (67.959)
Epoch: [73][2790/7045]	Time 0.110 (0.252)	Data 0.001 (0.187)	Loss 2.5911 (2.5596)	Prec@1 38.672 (38.129)	Prec@5 67.578 (67.957)
Epoch: [73][2800/7045]	Time 0.253 (0.252)	Data 0.195 (0.187)	Loss 2.6708 (2.5598)	Prec@1 33.203 (38.124)	Prec@5 67.969 (67.956)
Epoch: [73][2810/7045]	Time 0.236 (0.252)	Data 0.185 (0.187)	Loss 2.3589 (2.5596)	Prec@1 41.016 (38.126)	Prec@5 72.266 (67.959)
Epoch: [73][2820/7045]	Time 0.235 (0.252)	Data 0.183 (0.187)	Loss 2.5834 (2.5597)	Prec@1 37.109 (38.121)	Prec@5 69.141 (67.957)
Epoch: [73][2830/7045]	Time 0.475 (0.252)	Data 0.423 (0.187)	Loss 2.5147 (2.5598)	Prec@1 33.203 (38.118)	Prec@5 70.703 (67.955)
Epoch: [73][2840/7045]	Time 0.257 (0.252)	Data 0.197 (0.187)	Loss 2.5639 (2.5600)	Prec@1 39.062 (38.117)	Prec@5 69.531 (67.950)
Epoch: [73][2850/7045]	Time 0.116 (0.252)	Data 0.064 (0.187)	Loss 2.5836 (2.5600)	Prec@1 31.641 (38.118)	Prec@5 68.359 (67.953)
Epoch: [73][2860/7045]	Time 0.110 (0.252)	Data 0.058 (0.187)	Loss 2.4881 (2.5599)	Prec@1 39.453 (38.122)	Prec@5 69.531 (67.951)
Epoch: [73][2870/7045]	Time 0.403 (0.252)	Data 0.350 (0.187)	Loss 2.5386 (2.5599)	Prec@1 31.641 (38.121)	Prec@5 67.969 (67.952)
Epoch: [73][2880/7045]	Time 0.403 (0.252)	Data 0.351 (0.187)	Loss 2.5698 (2.5600)	Prec@1 38.281 (38.125)	Prec@5 67.578 (67.949)
Epoch: [73][2890/7045]	Time 0.102 (0.252)	Data 0.005 (0.187)	Loss 2.2851 (2.5599)	Prec@1 46.484 (38.128)	Prec@5 73.047 (67.951)
Epoch: [73][2900/7045]	Time 0.103 (0.252)	Data 0.001 (0.187)	Loss 2.5231 (2.5599)	Prec@1 35.938 (38.125)	Prec@5 67.578 (67.950)
Epoch: [73][2910/7045]	Time 0.102 (0.252)	Data 0.048 (0.187)	Loss 2.3636 (2.5599)	Prec@1 41.016 (38.124)	Prec@5 72.656 (67.952)
Epoch: [73][2920/7045]	Time 0.671 (0.252)	Data 0.619 (0.187)	Loss 2.5135 (2.5597)	Prec@1 39.062 (38.131)	Prec@5 73.047 (67.958)
Epoch: [73][2930/7045]	Time 0.102 (0.252)	Data 0.001 (0.187)	Loss 2.7047 (2.5599)	Prec@1 36.719 (38.130)	Prec@5 67.188 (67.955)
Epoch: [73][2940/7045]	Time 0.542 (0.252)	Data 0.488 (0.187)	Loss 2.5111 (2.5600)	Prec@1 38.672 (38.127)	Prec@5 67.578 (67.953)
Epoch: [73][2950/7045]	Time 0.102 (0.252)	Data 0.001 (0.187)	Loss 2.3041 (2.5600)	Prec@1 45.703 (38.128)	Prec@5 74.219 (67.951)
Epoch: [73][2960/7045]	Time 0.102 (0.252)	Data 0.001 (0.187)	Loss 2.6638 (2.5598)	Prec@1 38.281 (38.135)	Prec@5 66.016 (67.961)
Epoch: [73][2970/7045]	Time 0.551 (0.252)	Data 0.499 (0.187)	Loss 2.4477 (2.5596)	Prec@1 36.719 (38.136)	Prec@5 68.359 (67.965)
Epoch: [73][2980/7045]	Time 0.097 (0.252)	Data 0.001 (0.187)	Loss 2.7264 (2.5595)	Prec@1 36.719 (38.137)	Prec@5 66.016 (67.968)
Epoch: [73][2990/7045]	Time 0.365 (0.252)	Data 0.313 (0.187)	Loss 2.6077 (2.5598)	Prec@1 40.234 (38.131)	Prec@5 66.797 (67.961)
Epoch: [73][3000/7045]	Time 0.102 (0.252)	Data 0.002 (0.186)	Loss 2.5473 (2.5597)	Prec@1 39.844 (38.136)	Prec@5 66.797 (67.964)
Epoch: [73][3010/7045]	Time 0.280 (0.252)	Data 0.222 (0.187)	Loss 2.4153 (2.5597)	Prec@1 38.672 (38.131)	Prec@5 73.047 (67.963)
Epoch: [73][3020/7045]	Time 0.661 (0.252)	Data 0.608 (0.187)	Loss 2.5195 (2.5597)	Prec@1 41.406 (38.131)	Prec@5 70.312 (67.963)
Epoch: [73][3030/7045]	Time 0.102 (0.252)	Data 0.001 (0.187)	Loss 2.4636 (2.5598)	Prec@1 35.156 (38.131)	Prec@5 69.531 (67.961)
Epoch: [73][3040/7045]	Time 0.308 (0.252)	Data 0.258 (0.187)	Loss 2.4052 (2.5597)	Prec@1 39.062 (38.128)	Prec@5 73.828 (67.963)
Epoch: [73][3050/7045]	Time 0.226 (0.252)	Data 0.173 (0.186)	Loss 2.4384 (2.5597)	Prec@1 38.672 (38.126)	Prec@5 71.094 (67.964)
Epoch: [73][3060/7045]	Time 0.204 (0.252)	Data 0.152 (0.187)	Loss 2.6128 (2.5595)	Prec@1 36.719 (38.130)	Prec@5 65.625 (67.964)
Epoch: [73][3070/7045]	Time 0.354 (0.252)	Data 0.303 (0.187)	Loss 2.4654 (2.5596)	Prec@1 38.281 (38.130)	Prec@5 68.359 (67.963)
Epoch: [73][3080/7045]	Time 0.102 (0.252)	Data 0.007 (0.186)	Loss 2.3700 (2.5596)	Prec@1 37.891 (38.128)	Prec@5 72.266 (67.962)
Epoch: [73][3090/7045]	Time 0.175 (0.252)	Data 0.122 (0.186)	Loss 2.6302 (2.5598)	Prec@1 38.281 (38.125)	Prec@5 68.359 (67.960)
Epoch: [73][3100/7045]	Time 0.147 (0.252)	Data 0.094 (0.186)	Loss 2.6449 (2.5596)	Prec@1 37.109 (38.130)	Prec@5 63.281 (67.961)
Epoch: [73][3110/7045]	Time 0.291 (0.252)	Data 0.239 (0.187)	Loss 2.4635 (2.5596)	Prec@1 42.578 (38.126)	Prec@5 67.969 (67.961)
Epoch: [73][3120/7045]	Time 0.348 (0.252)	Data 0.295 (0.187)	Loss 2.5844 (2.5595)	Prec@1 39.062 (38.127)	Prec@5 68.750 (67.963)
Epoch: [73][3130/7045]	Time 0.458 (0.252)	Data 0.396 (0.187)	Loss 2.7205 (2.5597)	Prec@1 34.766 (38.122)	Prec@5 67.188 (67.962)
Epoch: [73][3140/7045]	Time 0.227 (0.252)	Data 0.176 (0.187)	Loss 2.4217 (2.5597)	Prec@1 41.797 (38.121)	Prec@5 70.312 (67.962)
Epoch: [73][3150/7045]	Time 0.102 (0.252)	Data 0.001 (0.187)	Loss 2.4080 (2.5596)	Prec@1 37.500 (38.121)	Prec@5 71.094 (67.964)
Epoch: [73][3160/7045]	Time 0.389 (0.252)	Data 0.336 (0.187)	Loss 2.7720 (2.5598)	Prec@1 31.641 (38.120)	Prec@5 64.453 (67.961)
Epoch: [73][3170/7045]	Time 0.103 (0.252)	Data 0.001 (0.187)	Loss 2.5797 (2.5599)	Prec@1 35.547 (38.118)	Prec@5 67.188 (67.960)
Epoch: [73][3180/7045]	Time 0.144 (0.252)	Data 0.084 (0.187)	Loss 2.4915 (2.5601)	Prec@1 40.234 (38.114)	Prec@5 67.188 (67.952)
Epoch: [73][3190/7045]	Time 0.409 (0.252)	Data 0.357 (0.187)	Loss 2.5806 (2.5603)	Prec@1 38.672 (38.109)	Prec@5 62.891 (67.949)
Epoch: [73][3200/7045]	Time 0.102 (0.252)	Data 0.007 (0.187)	Loss 2.4078 (2.5602)	Prec@1 41.797 (38.113)	Prec@5 67.578 (67.952)
Epoch: [73][3210/7045]	Time 0.674 (0.252)	Data 0.621 (0.187)	Loss 2.3156 (2.5601)	Prec@1 44.922 (38.115)	Prec@5 73.438 (67.956)
Epoch: [73][3220/7045]	Time 0.365 (0.252)	Data 0.313 (0.187)	Loss 2.4888 (2.5600)	Prec@1 38.672 (38.115)	Prec@5 72.266 (67.961)
Epoch: [73][3230/7045]	Time 0.109 (0.252)	Data 0.010 (0.186)	Loss 2.3973 (2.5599)	Prec@1 42.969 (38.114)	Prec@5 69.922 (67.963)
Epoch: [73][3240/7045]	Time 0.102 (0.252)	Data 0.050 (0.186)	Loss 2.6644 (2.5599)	Prec@1 36.719 (38.110)	Prec@5 67.578 (67.963)
Epoch: [73][3250/7045]	Time 0.460 (0.252)	Data 0.407 (0.187)	Loss 2.8082 (2.5600)	Prec@1 33.203 (38.107)	Prec@5 62.109 (67.965)
Epoch: [73][3260/7045]	Time 0.463 (0.252)	Data 0.410 (0.187)	Loss 2.7193 (2.5600)	Prec@1 33.594 (38.109)	Prec@5 61.719 (67.965)
Epoch: [73][3270/7045]	Time 0.112 (0.252)	Data 0.001 (0.186)	Loss 2.4120 (2.5599)	Prec@1 44.141 (38.117)	Prec@5 73.047 (67.966)
Epoch: [73][3280/7045]	Time 0.102 (0.252)	Data 0.001 (0.186)	Loss 2.6747 (2.5599)	Prec@1 30.469 (38.116)	Prec@5 66.406 (67.965)
Epoch: [73][3290/7045]	Time 0.567 (0.252)	Data 0.515 (0.187)	Loss 2.4446 (2.5599)	Prec@1 37.109 (38.115)	Prec@5 71.094 (67.967)
Epoch: [73][3300/7045]	Time 0.276 (0.252)	Data 0.224 (0.186)	Loss 2.6585 (2.5599)	Prec@1 37.891 (38.112)	Prec@5 67.188 (67.968)
Epoch: [73][3310/7045]	Time 0.329 (0.252)	Data 0.268 (0.187)	Loss 2.5935 (2.5600)	Prec@1 38.281 (38.112)	Prec@5 66.016 (67.969)
Epoch: [73][3320/7045]	Time 0.102 (0.252)	Data 0.001 (0.186)	Loss 2.3005 (2.5600)	Prec@1 46.875 (38.109)	Prec@5 72.656 (67.967)
Epoch: [73][3330/7045]	Time 0.307 (0.252)	Data 0.249 (0.186)	Loss 2.5367 (2.5599)	Prec@1 39.844 (38.114)	Prec@5 67.188 (67.966)
Epoch: [73][3340/7045]	Time 0.348 (0.252)	Data 0.296 (0.186)	Loss 2.4990 (2.5599)	Prec@1 35.156 (38.115)	Prec@5 69.922 (67.965)
Epoch: [73][3350/7045]	Time 0.108 (0.252)	Data 0.056 (0.186)	Loss 2.5808 (2.5598)	Prec@1 37.891 (38.113)	Prec@5 69.141 (67.965)
Epoch: [73][3360/7045]	Time 0.755 (0.252)	Data 0.703 (0.187)	Loss 2.5734 (2.5598)	Prec@1 40.234 (38.114)	Prec@5 66.797 (67.965)
Epoch: [73][3370/7045]	Time 0.193 (0.252)	Data 0.141 (0.186)	Loss 2.5537 (2.5596)	Prec@1 38.672 (38.121)	Prec@5 67.188 (67.967)
Epoch: [73][3380/7045]	Time 0.352 (0.252)	Data 0.299 (0.187)	Loss 2.4053 (2.5598)	Prec@1 44.141 (38.120)	Prec@5 71.875 (67.962)
Epoch: [73][3390/7045]	Time 0.439 (0.252)	Data 0.388 (0.187)	Loss 2.6768 (2.5599)	Prec@1 34.375 (38.119)	Prec@5 66.016 (67.958)
Epoch: [73][3400/7045]	Time 0.101 (0.252)	Data 0.006 (0.186)	Loss 2.5275 (2.5600)	Prec@1 35.938 (38.114)	Prec@5 67.969 (67.956)
Epoch: [73][3410/7045]	Time 0.108 (0.252)	Data 0.056 (0.187)	Loss 2.7628 (2.5599)	Prec@1 33.203 (38.120)	Prec@5 64.453 (67.959)
Epoch: [73][3420/7045]	Time 0.516 (0.252)	Data 0.458 (0.187)	Loss 2.5896 (2.5598)	Prec@1 35.547 (38.117)	Prec@5 68.750 (67.961)
Epoch: [73][3430/7045]	Time 0.103 (0.252)	Data 0.049 (0.187)	Loss 2.5992 (2.5598)	Prec@1 39.453 (38.123)	Prec@5 66.406 (67.962)
Epoch: [73][3440/7045]	Time 0.102 (0.252)	Data 0.046 (0.187)	Loss 2.5634 (2.5598)	Prec@1 38.672 (38.125)	Prec@5 65.625 (67.960)
Epoch: [73][3450/7045]	Time 0.453 (0.252)	Data 0.402 (0.187)	Loss 2.6464 (2.5595)	Prec@1 35.547 (38.129)	Prec@5 72.266 (67.966)
Epoch: [73][3460/7045]	Time 0.097 (0.252)	Data 0.001 (0.187)	Loss 2.6541 (2.5595)	Prec@1 36.328 (38.129)	Prec@5 65.625 (67.964)
Epoch: [73][3470/7045]	Time 0.634 (0.252)	Data 0.573 (0.187)	Loss 2.5651 (2.5596)	Prec@1 34.766 (38.128)	Prec@5 72.656 (67.964)
Epoch: [73][3480/7045]	Time 0.122 (0.252)	Data 0.070 (0.186)	Loss 2.4808 (2.5596)	Prec@1 40.234 (38.126)	Prec@5 70.703 (67.963)
Epoch: [73][3490/7045]	Time 0.160 (0.252)	Data 0.107 (0.186)	Loss 2.7380 (2.5596)	Prec@1 36.328 (38.125)	Prec@5 64.453 (67.963)
Epoch: [73][3500/7045]	Time 0.246 (0.252)	Data 0.195 (0.186)	Loss 2.7663 (2.5598)	Prec@1 34.766 (38.126)	Prec@5 62.891 (67.958)
Epoch: [73][3510/7045]	Time 0.102 (0.252)	Data 0.006 (0.186)	Loss 2.3865 (2.5598)	Prec@1 41.797 (38.127)	Prec@5 71.484 (67.960)
Epoch: [73][3520/7045]	Time 0.365 (0.252)	Data 0.313 (0.186)	Loss 2.3327 (2.5598)	Prec@1 39.453 (38.123)	Prec@5 76.953 (67.962)
Epoch: [73][3530/7045]	Time 0.102 (0.252)	Data 0.001 (0.186)	Loss 2.5546 (2.5597)	Prec@1 42.578 (38.126)	Prec@5 68.750 (67.964)
Epoch: [73][3540/7045]	Time 0.101 (0.252)	Data 0.001 (0.186)	Loss 2.6610 (2.5598)	Prec@1 35.547 (38.125)	Prec@5 65.234 (67.960)
Epoch: [73][3550/7045]	Time 0.101 (0.252)	Data 0.001 (0.186)	Loss 2.6921 (2.5599)	Prec@1 37.109 (38.123)	Prec@5 65.625 (67.957)
Epoch: [73][3560/7045]	Time 0.242 (0.252)	Data 0.189 (0.186)	Loss 2.6031 (2.5601)	Prec@1 34.766 (38.121)	Prec@5 64.844 (67.953)
Epoch: [73][3570/7045]	Time 0.464 (0.252)	Data 0.411 (0.186)	Loss 2.6552 (2.5603)	Prec@1 33.594 (38.119)	Prec@5 65.625 (67.950)
Epoch: [73][3580/7045]	Time 0.103 (0.252)	Data 0.011 (0.186)	Loss 2.7970 (2.5605)	Prec@1 32.422 (38.113)	Prec@5 65.234 (67.945)
Epoch: [73][3590/7045]	Time 0.166 (0.252)	Data 0.113 (0.186)	Loss 2.5648 (2.5606)	Prec@1 35.547 (38.113)	Prec@5 67.578 (67.945)
Epoch: [73][3600/7045]	Time 0.506 (0.252)	Data 0.454 (0.187)	Loss 2.6592 (2.5605)	Prec@1 36.719 (38.116)	Prec@5 67.969 (67.947)
Epoch: [73][3610/7045]	Time 0.102 (0.252)	Data 0.001 (0.186)	Loss 2.3038 (2.5603)	Prec@1 42.188 (38.118)	Prec@5 71.094 (67.948)
Epoch: [73][3620/7045]	Time 0.543 (0.252)	Data 0.492 (0.187)	Loss 2.4195 (2.5602)	Prec@1 40.625 (38.117)	Prec@5 71.094 (67.949)
Epoch: [73][3630/7045]	Time 0.233 (0.252)	Data 0.169 (0.186)	Loss 2.5301 (2.5602)	Prec@1 41.016 (38.120)	Prec@5 71.094 (67.950)
Epoch: [73][3640/7045]	Time 0.232 (0.252)	Data 0.181 (0.186)	Loss 2.6419 (2.5600)	Prec@1 39.844 (38.124)	Prec@5 66.406 (67.952)
Epoch: [73][3650/7045]	Time 0.154 (0.252)	Data 0.103 (0.186)	Loss 2.3477 (2.5600)	Prec@1 40.234 (38.124)	Prec@5 69.531 (67.950)
Epoch: [73][3660/7045]	Time 0.102 (0.252)	Data 0.003 (0.186)	Loss 2.6366 (2.5600)	Prec@1 37.109 (38.128)	Prec@5 66.406 (67.950)
Epoch: [73][3670/7045]	Time 0.326 (0.252)	Data 0.275 (0.186)	Loss 2.7133 (2.5600)	Prec@1 34.375 (38.127)	Prec@5 65.234 (67.952)
Epoch: [73][3680/7045]	Time 0.859 (0.252)	Data 0.807 (0.186)	Loss 2.4587 (2.5601)	Prec@1 39.062 (38.124)	Prec@5 71.875 (67.949)
Epoch: [73][3690/7045]	Time 0.109 (0.252)	Data 0.005 (0.186)	Loss 2.3847 (2.5600)	Prec@1 42.578 (38.127)	Prec@5 71.875 (67.949)
Epoch: [73][3700/7045]	Time 0.484 (0.252)	Data 0.424 (0.186)	Loss 2.2317 (2.5598)	Prec@1 40.625 (38.127)	Prec@5 76.172 (67.954)
Epoch: [73][3710/7045]	Time 0.102 (0.252)	Data 0.001 (0.186)	Loss 2.5527 (2.5597)	Prec@1 34.766 (38.125)	Prec@5 69.141 (67.956)
Epoch: [73][3720/7045]	Time 0.107 (0.252)	Data 0.055 (0.186)	Loss 2.7249 (2.5598)	Prec@1 34.766 (38.122)	Prec@5 63.672 (67.955)
Epoch: [73][3730/7045]	Time 0.270 (0.252)	Data 0.216 (0.186)	Loss 2.5258 (2.5598)	Prec@1 37.500 (38.122)	Prec@5 67.969 (67.953)
Epoch: [73][3740/7045]	Time 0.111 (0.252)	Data 0.058 (0.186)	Loss 2.5625 (2.5597)	Prec@1 40.234 (38.123)	Prec@5 69.531 (67.955)
Epoch: [73][3750/7045]	Time 0.627 (0.252)	Data 0.575 (0.186)	Loss 2.7117 (2.5597)	Prec@1 38.672 (38.122)	Prec@5 67.578 (67.956)
Epoch: [73][3760/7045]	Time 0.102 (0.252)	Data 0.005 (0.186)	Loss 2.7291 (2.5598)	Prec@1 32.812 (38.123)	Prec@5 66.016 (67.955)
Epoch: [73][3770/7045]	Time 0.108 (0.252)	Data 0.055 (0.186)	Loss 2.5493 (2.5599)	Prec@1 39.453 (38.124)	Prec@5 65.625 (67.954)
Epoch: [73][3780/7045]	Time 0.102 (0.252)	Data 0.001 (0.186)	Loss 2.6571 (2.5600)	Prec@1 34.766 (38.120)	Prec@5 66.016 (67.952)
Epoch: [73][3790/7045]	Time 0.108 (0.252)	Data 0.005 (0.186)	Loss 2.6192 (2.5600)	Prec@1 37.109 (38.120)	Prec@5 69.922 (67.952)
Epoch: [73][3800/7045]	Time 0.618 (0.252)	Data 0.560 (0.186)	Loss 2.3528 (2.5598)	Prec@1 42.188 (38.125)	Prec@5 71.094 (67.954)
Epoch: [73][3810/7045]	Time 0.102 (0.252)	Data 0.001 (0.186)	Loss 2.5628 (2.5597)	Prec@1 40.625 (38.129)	Prec@5 65.234 (67.956)
Epoch: [73][3820/7045]	Time 0.506 (0.252)	Data 0.455 (0.186)	Loss 2.5092 (2.5599)	Prec@1 38.672 (38.125)	Prec@5 70.312 (67.952)
Epoch: [73][3830/7045]	Time 0.102 (0.252)	Data 0.004 (0.186)	Loss 2.6185 (2.5602)	Prec@1 35.547 (38.118)	Prec@5 66.406 (67.945)
Epoch: [73][3840/7045]	Time 0.206 (0.252)	Data 0.155 (0.186)	Loss 2.6210 (2.5602)	Prec@1 37.109 (38.121)	Prec@5 67.188 (67.944)
Epoch: [73][3850/7045]	Time 0.582 (0.252)	Data 0.530 (0.186)	Loss 2.4043 (2.5602)	Prec@1 39.062 (38.122)	Prec@5 74.219 (67.943)
Epoch: [73][3860/7045]	Time 0.103 (0.252)	Data 0.001 (0.186)	Loss 2.6705 (2.5603)	Prec@1 37.109 (38.120)	Prec@5 64.453 (67.941)
Epoch: [73][3870/7045]	Time 0.248 (0.252)	Data 0.198 (0.186)	Loss 2.3907 (2.5602)	Prec@1 43.359 (38.120)	Prec@5 72.266 (67.941)
Epoch: [73][3880/7045]	Time 0.156 (0.252)	Data 0.104 (0.186)	Loss 2.5112 (2.5602)	Prec@1 41.406 (38.122)	Prec@5 66.016 (67.939)
Epoch: [73][3890/7045]	Time 0.102 (0.252)	Data 0.003 (0.186)	Loss 2.6914 (2.5602)	Prec@1 37.500 (38.122)	Prec@5 67.188 (67.938)
Epoch: [73][3900/7045]	Time 0.350 (0.252)	Data 0.298 (0.186)	Loss 2.3586 (2.5602)	Prec@1 44.141 (38.121)	Prec@5 70.312 (67.941)
Epoch: [73][3910/7045]	Time 0.109 (0.252)	Data 0.001 (0.186)	Loss 2.4325 (2.5602)	Prec@1 38.281 (38.119)	Prec@5 71.094 (67.941)
Epoch: [73][3920/7045]	Time 0.522 (0.252)	Data 0.463 (0.186)	Loss 2.4188 (2.5603)	Prec@1 41.406 (38.115)	Prec@5 65.234 (67.939)
Epoch: [73][3930/7045]	Time 0.269 (0.252)	Data 0.217 (0.186)	Loss 2.5509 (2.5603)	Prec@1 33.984 (38.116)	Prec@5 69.141 (67.939)
Epoch: [73][3940/7045]	Time 0.112 (0.252)	Data 0.060 (0.186)	Loss 2.4774 (2.5603)	Prec@1 41.016 (38.113)	Prec@5 69.141 (67.938)
Epoch: [73][3950/7045]	Time 0.102 (0.252)	Data 0.001 (0.186)	Loss 2.5035 (2.5604)	Prec@1 35.938 (38.113)	Prec@5 66.797 (67.937)
Epoch: [73][3960/7045]	Time 0.251 (0.252)	Data 0.199 (0.186)	Loss 2.6036 (2.5603)	Prec@1 36.719 (38.115)	Prec@5 67.969 (67.939)
Epoch: [73][3970/7045]	Time 0.750 (0.252)	Data 0.698 (0.186)	Loss 2.6117 (2.5604)	Prec@1 37.891 (38.117)	Prec@5 66.406 (67.936)
Epoch: [73][3980/7045]	Time 0.151 (0.252)	Data 0.099 (0.186)	Loss 2.3080 (2.5604)	Prec@1 42.578 (38.119)	Prec@5 71.094 (67.936)
Epoch: [73][3990/7045]	Time 0.107 (0.252)	Data 0.054 (0.186)	Loss 2.5291 (2.5604)	Prec@1 40.234 (38.119)	Prec@5 68.750 (67.938)
Epoch: [73][4000/7045]	Time 0.304 (0.252)	Data 0.252 (0.186)	Loss 2.7248 (2.5603)	Prec@1 33.594 (38.121)	Prec@5 63.281 (67.939)
Epoch: [73][4010/7045]	Time 0.276 (0.252)	Data 0.223 (0.186)	Loss 2.6110 (2.5603)	Prec@1 40.234 (38.126)	Prec@5 68.359 (67.939)
Epoch: [73][4020/7045]	Time 0.126 (0.252)	Data 0.073 (0.186)	Loss 2.7899 (2.5604)	Prec@1 35.547 (38.121)	Prec@5 62.500 (67.939)
Epoch: [73][4030/7045]	Time 0.377 (0.252)	Data 0.325 (0.186)	Loss 2.5678 (2.5604)	Prec@1 42.969 (38.122)	Prec@5 67.969 (67.940)
Epoch: [73][4040/7045]	Time 0.102 (0.252)	Data 0.001 (0.186)	Loss 2.4018 (2.5603)	Prec@1 42.578 (38.126)	Prec@5 71.875 (67.943)
Epoch: [73][4050/7045]	Time 0.101 (0.252)	Data 0.001 (0.186)	Loss 2.3949 (2.5602)	Prec@1 41.406 (38.124)	Prec@5 68.359 (67.943)
Epoch: [73][4060/7045]	Time 0.107 (0.252)	Data 0.001 (0.186)	Loss 2.4003 (2.5601)	Prec@1 41.016 (38.126)	Prec@5 69.141 (67.946)
Epoch: [73][4070/7045]	Time 0.436 (0.252)	Data 0.379 (0.186)	Loss 2.5977 (2.5601)	Prec@1 33.984 (38.126)	Prec@5 69.141 (67.946)
Epoch: [73][4080/7045]	Time 0.103 (0.252)	Data 0.001 (0.186)	Loss 2.6628 (2.5603)	Prec@1 38.281 (38.123)	Prec@5 66.016 (67.944)
Epoch: [73][4090/7045]	Time 0.383 (0.252)	Data 0.331 (0.186)	Loss 2.6693 (2.5602)	Prec@1 34.766 (38.125)	Prec@5 65.234 (67.945)
Epoch: [73][4100/7045]	Time 0.462 (0.252)	Data 0.410 (0.186)	Loss 2.6840 (2.5601)	Prec@1 32.812 (38.128)	Prec@5 63.281 (67.947)
Epoch: [73][4110/7045]	Time 0.428 (0.252)	Data 0.375 (0.186)	Loss 2.6006 (2.5602)	Prec@1 37.500 (38.126)	Prec@5 64.844 (67.943)
Epoch: [73][4120/7045]	Time 0.101 (0.252)	Data 0.001 (0.186)	Loss 2.5985 (2.5601)	Prec@1 36.719 (38.125)	Prec@5 66.016 (67.946)
Epoch: [73][4130/7045]	Time 0.293 (0.252)	Data 0.240 (0.186)	Loss 2.4830 (2.5600)	Prec@1 39.453 (38.126)	Prec@5 69.922 (67.947)
Epoch: [73][4140/7045]	Time 0.110 (0.252)	Data 0.059 (0.186)	Loss 2.5624 (2.5600)	Prec@1 36.719 (38.125)	Prec@5 66.406 (67.946)
Epoch: [73][4150/7045]	Time 0.109 (0.252)	Data 0.045 (0.186)	Loss 2.6051 (2.5601)	Prec@1 33.984 (38.124)	Prec@5 67.578 (67.945)
Epoch: [73][4160/7045]	Time 0.105 (0.252)	Data 0.001 (0.186)	Loss 2.6395 (2.5601)	Prec@1 38.672 (38.125)	Prec@5 65.234 (67.944)
Epoch: [73][4170/7045]	Time 0.309 (0.252)	Data 0.249 (0.186)	Loss 2.4520 (2.5601)	Prec@1 39.453 (38.127)	Prec@5 70.703 (67.944)
Epoch: [73][4180/7045]	Time 0.192 (0.252)	Data 0.140 (0.186)	Loss 2.5469 (2.5601)	Prec@1 38.672 (38.126)	Prec@5 69.141 (67.946)
Epoch: [73][4190/7045]	Time 0.103 (0.252)	Data 0.050 (0.186)	Loss 2.5163 (2.5601)	Prec@1 41.406 (38.126)	Prec@5 68.750 (67.943)
Epoch: [73][4200/7045]	Time 0.326 (0.252)	Data 0.274 (0.186)	Loss 2.6676 (2.5602)	Prec@1 38.281 (38.125)	Prec@5 67.188 (67.942)
Epoch: [73][4210/7045]	Time 0.754 (0.252)	Data 0.703 (0.186)	Loss 2.6923 (2.5604)	Prec@1 37.500 (38.121)	Prec@5 63.281 (67.939)
Epoch: [73][4220/7045]	Time 0.224 (0.252)	Data 0.165 (0.186)	Loss 2.4918 (2.5605)	Prec@1 38.281 (38.119)	Prec@5 69.531 (67.936)
Epoch: [73][4230/7045]	Time 0.500 (0.252)	Data 0.447 (0.186)	Loss 2.6491 (2.5607)	Prec@1 36.328 (38.116)	Prec@5 65.234 (67.932)
Epoch: [73][4240/7045]	Time 0.201 (0.252)	Data 0.150 (0.186)	Loss 2.6979 (2.5606)	Prec@1 38.672 (38.118)	Prec@5 64.062 (67.933)
Epoch: [73][4250/7045]	Time 0.264 (0.252)	Data 0.212 (0.186)	Loss 2.4799 (2.5606)	Prec@1 45.703 (38.120)	Prec@5 69.531 (67.933)
Epoch: [73][4260/7045]	Time 0.216 (0.252)	Data 0.164 (0.186)	Loss 2.3906 (2.5605)	Prec@1 43.359 (38.122)	Prec@5 70.703 (67.937)
Epoch: [73][4270/7045]	Time 0.349 (0.252)	Data 0.297 (0.186)	Loss 2.4914 (2.5605)	Prec@1 40.234 (38.124)	Prec@5 69.141 (67.936)
Epoch: [73][4280/7045]	Time 0.207 (0.252)	Data 0.154 (0.186)	Loss 2.5796 (2.5605)	Prec@1 39.453 (38.126)	Prec@5 66.406 (67.935)
Epoch: [73][4290/7045]	Time 0.226 (0.252)	Data 0.175 (0.186)	Loss 2.4891 (2.5604)	Prec@1 40.234 (38.128)	Prec@5 70.703 (67.939)
Epoch: [73][4300/7045]	Time 0.699 (0.252)	Data 0.640 (0.186)	Loss 2.7967 (2.5605)	Prec@1 33.203 (38.126)	Prec@5 64.844 (67.935)
Epoch: [73][4310/7045]	Time 0.332 (0.252)	Data 0.281 (0.186)	Loss 2.5328 (2.5605)	Prec@1 39.062 (38.125)	Prec@5 72.656 (67.935)
Epoch: [73][4320/7045]	Time 0.103 (0.252)	Data 0.001 (0.186)	Loss 2.4039 (2.5605)	Prec@1 41.797 (38.123)	Prec@5 72.266 (67.937)
Epoch: [73][4330/7045]	Time 0.102 (0.252)	Data 0.003 (0.186)	Loss 2.4546 (2.5607)	Prec@1 41.406 (38.122)	Prec@5 68.750 (67.933)
Epoch: [73][4340/7045]	Time 0.396 (0.252)	Data 0.344 (0.186)	Loss 2.6031 (2.5607)	Prec@1 33.984 (38.122)	Prec@5 66.406 (67.933)
Epoch: [73][4350/7045]	Time 0.340 (0.252)	Data 0.288 (0.186)	Loss 2.5472 (2.5606)	Prec@1 39.453 (38.126)	Prec@5 67.188 (67.932)
Epoch: [73][4360/7045]	Time 0.361 (0.252)	Data 0.310 (0.186)	Loss 2.6053 (2.5606)	Prec@1 40.625 (38.128)	Prec@5 66.406 (67.932)
Epoch: [73][4370/7045]	Time 0.594 (0.252)	Data 0.543 (0.186)	Loss 2.5920 (2.5606)	Prec@1 36.328 (38.126)	Prec@5 68.359 (67.931)
Epoch: [73][4380/7045]	Time 0.139 (0.252)	Data 0.087 (0.186)	Loss 2.3540 (2.5606)	Prec@1 39.453 (38.127)	Prec@5 72.266 (67.931)
Epoch: [73][4390/7045]	Time 0.266 (0.252)	Data 0.215 (0.186)	Loss 2.5161 (2.5606)	Prec@1 38.281 (38.127)	Prec@5 65.234 (67.931)
Epoch: [73][4400/7045]	Time 0.158 (0.252)	Data 0.105 (0.186)	Loss 2.5870 (2.5607)	Prec@1 35.547 (38.123)	Prec@5 68.750 (67.930)
Epoch: [73][4410/7045]	Time 0.492 (0.252)	Data 0.439 (0.186)	Loss 2.5860 (2.5606)	Prec@1 35.938 (38.121)	Prec@5 65.625 (67.933)
Epoch: [73][4420/7045]	Time 0.111 (0.252)	Data 0.001 (0.186)	Loss 2.7002 (2.5607)	Prec@1 38.672 (38.122)	Prec@5 67.188 (67.933)
Epoch: [73][4430/7045]	Time 0.475 (0.252)	Data 0.423 (0.186)	Loss 2.5871 (2.5607)	Prec@1 37.500 (38.120)	Prec@5 66.016 (67.933)
Epoch: [73][4440/7045]	Time 0.436 (0.252)	Data 0.385 (0.186)	Loss 2.4752 (2.5606)	Prec@1 38.281 (38.121)	Prec@5 69.531 (67.934)
Epoch: [73][4450/7045]	Time 0.107 (0.252)	Data 0.054 (0.186)	Loss 2.4674 (2.5607)	Prec@1 37.500 (38.120)	Prec@5 69.922 (67.932)
Epoch: [73][4460/7045]	Time 0.152 (0.252)	Data 0.100 (0.186)	Loss 2.5564 (2.5606)	Prec@1 33.203 (38.122)	Prec@5 64.844 (67.933)
Epoch: [73][4470/7045]	Time 0.138 (0.252)	Data 0.086 (0.186)	Loss 2.3967 (2.5606)	Prec@1 43.359 (38.120)	Prec@5 71.875 (67.934)
Epoch: [73][4480/7045]	Time 0.325 (0.252)	Data 0.267 (0.186)	Loss 2.5031 (2.5606)	Prec@1 37.500 (38.125)	Prec@5 67.578 (67.935)
Epoch: [73][4490/7045]	Time 0.269 (0.252)	Data 0.218 (0.186)	Loss 2.4684 (2.5605)	Prec@1 38.672 (38.124)	Prec@5 72.266 (67.935)
Epoch: [73][4500/7045]	Time 0.339 (0.252)	Data 0.288 (0.186)	Loss 2.5584 (2.5606)	Prec@1 37.891 (38.125)	Prec@5 67.969 (67.933)
Epoch: [73][4510/7045]	Time 0.711 (0.252)	Data 0.659 (0.186)	Loss 2.5244 (2.5606)	Prec@1 40.234 (38.126)	Prec@5 66.797 (67.933)
Epoch: [73][4520/7045]	Time 0.137 (0.252)	Data 0.085 (0.186)	Loss 2.9148 (2.5607)	Prec@1 33.594 (38.124)	Prec@5 60.547 (67.929)
Epoch: [73][4530/7045]	Time 0.208 (0.252)	Data 0.149 (0.186)	Loss 2.4754 (2.5607)	Prec@1 40.625 (38.124)	Prec@5 67.969 (67.927)
Epoch: [73][4540/7045]	Time 0.248 (0.252)	Data 0.194 (0.186)	Loss 2.4925 (2.5608)	Prec@1 39.062 (38.124)	Prec@5 69.141 (67.925)
Epoch: [73][4550/7045]	Time 0.102 (0.252)	Data 0.001 (0.186)	Loss 2.6321 (2.5608)	Prec@1 39.453 (38.125)	Prec@5 67.578 (67.927)
Epoch: [73][4560/7045]	Time 0.437 (0.252)	Data 0.385 (0.186)	Loss 2.5867 (2.5607)	Prec@1 38.672 (38.125)	Prec@5 69.531 (67.929)
Epoch: [73][4570/7045]	Time 0.102 (0.252)	Data 0.015 (0.186)	Loss 2.5261 (2.5608)	Prec@1 40.234 (38.123)	Prec@5 69.141 (67.929)
Epoch: [73][4580/7045]	Time 0.103 (0.252)	Data 0.001 (0.186)	Loss 2.3701 (2.5606)	Prec@1 39.453 (38.125)	Prec@5 73.438 (67.933)
Epoch: [73][4590/7045]	Time 0.315 (0.252)	Data 0.262 (0.186)	Loss 2.4629 (2.5607)	Prec@1 39.453 (38.124)	Prec@5 71.875 (67.931)
Epoch: [73][4600/7045]	Time 0.101 (0.252)	Data 0.001 (0.186)	Loss 2.7683 (2.5609)	Prec@1 32.422 (38.120)	Prec@5 62.500 (67.926)
Epoch: [73][4610/7045]	Time 0.233 (0.252)	Data 0.182 (0.186)	Loss 2.4526 (2.5610)	Prec@1 43.750 (38.123)	Prec@5 71.875 (67.924)
Epoch: [73][4620/7045]	Time 0.359 (0.252)	Data 0.306 (0.186)	Loss 2.5982 (2.5610)	Prec@1 35.547 (38.124)	Prec@5 65.625 (67.923)
Epoch: [73][4630/7045]	Time 0.101 (0.252)	Data 0.004 (0.186)	Loss 2.4362 (2.5609)	Prec@1 40.234 (38.127)	Prec@5 67.969 (67.923)
Epoch: [73][4640/7045]	Time 0.330 (0.252)	Data 0.278 (0.186)	Loss 2.5474 (2.5611)	Prec@1 35.547 (38.125)	Prec@5 67.578 (67.922)
Epoch: [73][4650/7045]	Time 0.443 (0.252)	Data 0.391 (0.186)	Loss 2.6587 (2.5610)	Prec@1 32.422 (38.125)	Prec@5 68.750 (67.923)
Epoch: [73][4660/7045]	Time 0.099 (0.252)	Data 0.001 (0.186)	Loss 2.5138 (2.5610)	Prec@1 42.188 (38.126)	Prec@5 69.922 (67.924)
Epoch: [73][4670/7045]	Time 0.621 (0.252)	Data 0.570 (0.186)	Loss 2.5394 (2.5610)	Prec@1 38.281 (38.124)	Prec@5 68.750 (67.924)
Epoch: [73][4680/7045]	Time 0.111 (0.252)	Data 0.059 (0.186)	Loss 2.7227 (2.5609)	Prec@1 36.328 (38.124)	Prec@5 64.453 (67.926)
Epoch: [73][4690/7045]	Time 0.102 (0.252)	Data 0.001 (0.186)	Loss 2.5154 (2.5608)	Prec@1 40.625 (38.125)	Prec@5 68.359 (67.926)
Epoch: [73][4700/7045]	Time 0.625 (0.252)	Data 0.573 (0.186)	Loss 2.7643 (2.5610)	Prec@1 32.422 (38.124)	Prec@5 66.016 (67.921)
Epoch: [73][4710/7045]	Time 0.370 (0.252)	Data 0.319 (0.186)	Loss 2.6393 (2.5608)	Prec@1 35.156 (38.126)	Prec@5 67.188 (67.924)
Epoch: [73][4720/7045]	Time 0.227 (0.252)	Data 0.176 (0.186)	Loss 2.4611 (2.5608)	Prec@1 44.922 (38.128)	Prec@5 68.750 (67.923)
Epoch: [73][4730/7045]	Time 0.104 (0.252)	Data 0.052 (0.186)	Loss 2.5601 (2.5608)	Prec@1 37.500 (38.128)	Prec@5 69.531 (67.921)
Epoch: [73][4740/7045]	Time 0.109 (0.252)	Data 0.055 (0.186)	Loss 2.5813 (2.5609)	Prec@1 38.672 (38.127)	Prec@5 67.578 (67.920)
Epoch: [73][4750/7045]	Time 0.560 (0.252)	Data 0.502 (0.186)	Loss 2.4816 (2.5608)	Prec@1 37.891 (38.127)	Prec@5 69.531 (67.920)
Epoch: [73][4760/7045]	Time 0.401 (0.252)	Data 0.351 (0.186)	Loss 2.6100 (2.5609)	Prec@1 38.672 (38.125)	Prec@5 66.016 (67.919)
Epoch: [73][4770/7045]	Time 0.124 (0.252)	Data 0.072 (0.186)	Loss 2.5948 (2.5609)	Prec@1 39.453 (38.125)	Prec@5 69.531 (67.919)
Epoch: [73][4780/7045]	Time 0.147 (0.252)	Data 0.095 (0.186)	Loss 2.5679 (2.5608)	Prec@1 34.375 (38.125)	Prec@5 68.359 (67.922)
Epoch: [73][4790/7045]	Time 0.171 (0.252)	Data 0.119 (0.186)	Loss 2.4422 (2.5608)	Prec@1 37.891 (38.125)	Prec@5 71.094 (67.922)
Epoch: [73][4800/7045]	Time 0.468 (0.252)	Data 0.417 (0.186)	Loss 2.4357 (2.5609)	Prec@1 39.062 (38.123)	Prec@5 69.531 (67.919)
Epoch: [73][4810/7045]	Time 0.291 (0.252)	Data 0.241 (0.186)	Loss 2.4834 (2.5609)	Prec@1 41.406 (38.124)	Prec@5 72.656 (67.920)
Epoch: [73][4820/7045]	Time 0.108 (0.252)	Data 0.055 (0.186)	Loss 2.6242 (2.5609)	Prec@1 37.891 (38.126)	Prec@5 65.625 (67.920)
Epoch: [73][4830/7045]	Time 0.190 (0.252)	Data 0.139 (0.186)	Loss 2.6588 (2.5608)	Prec@1 39.453 (38.127)	Prec@5 63.672 (67.920)
Epoch: [73][4840/7045]	Time 0.191 (0.252)	Data 0.140 (0.186)	Loss 2.5187 (2.5607)	Prec@1 38.672 (38.129)	Prec@5 67.578 (67.922)
Epoch: [73][4850/7045]	Time 0.260 (0.252)	Data 0.209 (0.186)	Loss 2.5997 (2.5607)	Prec@1 38.672 (38.128)	Prec@5 67.969 (67.922)
Epoch: [73][4860/7045]	Time 0.117 (0.252)	Data 0.065 (0.186)	Loss 2.5217 (2.5608)	Prec@1 37.109 (38.125)	Prec@5 67.188 (67.919)
Epoch: [73][4870/7045]	Time 0.112 (0.252)	Data 0.059 (0.186)	Loss 2.5990 (2.5608)	Prec@1 40.625 (38.127)	Prec@5 69.531 (67.921)
Epoch: [73][4880/7045]	Time 0.421 (0.252)	Data 0.368 (0.186)	Loss 2.5920 (2.5608)	Prec@1 38.281 (38.125)	Prec@5 67.969 (67.919)
Epoch: [73][4890/7045]	Time 0.336 (0.252)	Data 0.284 (0.186)	Loss 2.7821 (2.5609)	Prec@1 32.031 (38.125)	Prec@5 66.797 (67.920)
Epoch: [73][4900/7045]	Time 0.180 (0.252)	Data 0.127 (0.186)	Loss 2.4816 (2.5608)	Prec@1 39.453 (38.124)	Prec@5 70.703 (67.921)
Epoch: [73][4910/7045]	Time 0.214 (0.252)	Data 0.161 (0.186)	Loss 2.4575 (2.5607)	Prec@1 39.062 (38.126)	Prec@5 73.047 (67.923)
Epoch: [73][4920/7045]	Time 0.102 (0.252)	Data 0.008 (0.186)	Loss 2.7277 (2.5608)	Prec@1 35.938 (38.125)	Prec@5 62.109 (67.921)
Epoch: [73][4930/7045]	Time 0.131 (0.252)	Data 0.077 (0.186)	Loss 2.3557 (2.5607)	Prec@1 35.938 (38.125)	Prec@5 70.703 (67.922)
Epoch: [73][4940/7045]	Time 0.102 (0.252)	Data 0.006 (0.186)	Loss 2.3900 (2.5607)	Prec@1 39.062 (38.125)	Prec@5 69.141 (67.921)
Epoch: [73][4950/7045]	Time 0.407 (0.252)	Data 0.356 (0.186)	Loss 2.4794 (2.5607)	Prec@1 39.844 (38.129)	Prec@5 67.188 (67.920)
Epoch: [73][4960/7045]	Time 0.111 (0.252)	Data 0.001 (0.186)	Loss 2.3420 (2.5606)	Prec@1 41.797 (38.134)	Prec@5 72.656 (67.924)
Epoch: [73][4970/7045]	Time 0.523 (0.252)	Data 0.466 (0.186)	Loss 2.4928 (2.5605)	Prec@1 39.844 (38.136)	Prec@5 70.312 (67.927)
Epoch: [73][4980/7045]	Time 0.198 (0.252)	Data 0.146 (0.186)	Loss 2.7327 (2.5606)	Prec@1 34.766 (38.135)	Prec@5 67.969 (67.924)
Epoch: [73][4990/7045]	Time 0.102 (0.252)	Data 0.007 (0.186)	Loss 2.6831 (2.5607)	Prec@1 35.156 (38.130)	Prec@5 62.109 (67.921)
Epoch: [73][5000/7045]	Time 0.102 (0.252)	Data 0.016 (0.186)	Loss 2.5684 (2.5607)	Prec@1 37.891 (38.132)	Prec@5 67.578 (67.920)
Epoch: [73][5010/7045]	Time 0.102 (0.252)	Data 0.004 (0.186)	Loss 2.6278 (2.5605)	Prec@1 36.328 (38.133)	Prec@5 68.359 (67.925)
Epoch: [73][5020/7045]	Time 0.603 (0.252)	Data 0.551 (0.186)	Loss 2.5999 (2.5606)	Prec@1 37.109 (38.131)	Prec@5 67.969 (67.924)
Epoch: [73][5030/7045]	Time 0.343 (0.252)	Data 0.291 (0.186)	Loss 2.7011 (2.5605)	Prec@1 38.672 (38.131)	Prec@5 65.625 (67.923)
Epoch: [73][5040/7045]	Time 0.110 (0.252)	Data 0.001 (0.186)	Loss 2.7086 (2.5607)	Prec@1 35.156 (38.127)	Prec@5 67.578 (67.923)
Epoch: [73][5050/7045]	Time 0.355 (0.252)	Data 0.303 (0.186)	Loss 2.4702 (2.5608)	Prec@1 41.797 (38.126)	Prec@5 71.094 (67.920)
Epoch: [73][5060/7045]	Time 0.102 (0.252)	Data 0.001 (0.186)	Loss 2.3307 (2.5609)	Prec@1 41.016 (38.125)	Prec@5 74.219 (67.918)
Epoch: [73][5070/7045]	Time 0.375 (0.252)	Data 0.322 (0.186)	Loss 2.5622 (2.5610)	Prec@1 36.719 (38.121)	Prec@5 69.531 (67.914)
Epoch: [73][5080/7045]	Time 0.294 (0.252)	Data 0.243 (0.186)	Loss 2.6358 (2.5610)	Prec@1 32.812 (38.122)	Prec@5 68.750 (67.914)
Epoch: [73][5090/7045]	Time 0.101 (0.252)	Data 0.006 (0.186)	Loss 2.6903 (2.5610)	Prec@1 32.422 (38.119)	Prec@5 65.234 (67.913)
Epoch: [73][5100/7045]	Time 0.107 (0.252)	Data 0.054 (0.186)	Loss 2.5020 (2.5610)	Prec@1 41.016 (38.118)	Prec@5 68.359 (67.913)
Epoch: [73][5110/7045]	Time 0.330 (0.252)	Data 0.278 (0.186)	Loss 2.5845 (2.5611)	Prec@1 39.453 (38.119)	Prec@5 66.797 (67.911)
Epoch: [73][5120/7045]	Time 0.108 (0.252)	Data 0.055 (0.186)	Loss 2.5874 (2.5612)	Prec@1 36.328 (38.117)	Prec@5 67.969 (67.910)
Epoch: [73][5130/7045]	Time 0.310 (0.252)	Data 0.258 (0.186)	Loss 2.5886 (2.5612)	Prec@1 37.109 (38.117)	Prec@5 67.578 (67.910)
Epoch: [73][5140/7045]	Time 0.102 (0.252)	Data 0.001 (0.186)	Loss 2.6947 (2.5611)	Prec@1 39.062 (38.117)	Prec@5 64.453 (67.909)
Epoch: [73][5150/7045]	Time 0.102 (0.252)	Data 0.007 (0.186)	Loss 2.8160 (2.5611)	Prec@1 31.641 (38.117)	Prec@5 64.453 (67.908)
Epoch: [73][5160/7045]	Time 0.340 (0.252)	Data 0.287 (0.186)	Loss 2.4640 (2.5611)	Prec@1 41.016 (38.117)	Prec@5 67.578 (67.907)
Epoch: [73][5170/7045]	Time 0.113 (0.252)	Data 0.060 (0.186)	Loss 2.3892 (2.5612)	Prec@1 39.062 (38.117)	Prec@5 72.656 (67.906)
Epoch: [73][5180/7045]	Time 0.102 (0.252)	Data 0.001 (0.186)	Loss 2.6096 (2.5612)	Prec@1 39.844 (38.116)	Prec@5 67.188 (67.905)
Epoch: [73][5190/7045]	Time 0.260 (0.252)	Data 0.208 (0.186)	Loss 2.4455 (2.5613)	Prec@1 40.625 (38.115)	Prec@5 70.703 (67.905)
Epoch: [73][5200/7045]	Time 0.102 (0.252)	Data 0.001 (0.186)	Loss 2.5469 (2.5613)	Prec@1 40.234 (38.115)	Prec@5 66.016 (67.905)
Epoch: [73][5210/7045]	Time 0.102 (0.252)	Data 0.001 (0.186)	Loss 2.6396 (2.5612)	Prec@1 33.984 (38.115)	Prec@5 64.453 (67.905)
Epoch: [73][5220/7045]	Time 0.614 (0.252)	Data 0.563 (0.186)	Loss 2.6122 (2.5612)	Prec@1 35.938 (38.115)	Prec@5 67.188 (67.906)
Epoch: [73][5230/7045]	Time 0.486 (0.252)	Data 0.435 (0.186)	Loss 2.5151 (2.5612)	Prec@1 38.281 (38.114)	Prec@5 69.531 (67.905)
Epoch: [73][5240/7045]	Time 0.102 (0.252)	Data 0.001 (0.186)	Loss 2.7721 (2.5613)	Prec@1 35.156 (38.112)	Prec@5 63.281 (67.903)
Epoch: [73][5250/7045]	Time 0.518 (0.252)	Data 0.459 (0.186)	Loss 2.4569 (2.5613)	Prec@1 40.625 (38.112)	Prec@5 66.797 (67.902)
Epoch: [73][5260/7045]	Time 0.111 (0.252)	Data 0.060 (0.186)	Loss 2.5505 (2.5613)	Prec@1 36.719 (38.113)	Prec@5 67.188 (67.902)
Epoch: [73][5270/7045]	Time 0.121 (0.252)	Data 0.069 (0.186)	Loss 2.6221 (2.5613)	Prec@1 32.812 (38.112)	Prec@5 66.797 (67.900)
Epoch: [73][5280/7045]	Time 0.871 (0.252)	Data 0.819 (0.186)	Loss 2.4571 (2.5613)	Prec@1 42.969 (38.113)	Prec@5 69.922 (67.900)
Epoch: [73][5290/7045]	Time 0.315 (0.252)	Data 0.257 (0.186)	Loss 2.6568 (2.5613)	Prec@1 37.500 (38.114)	Prec@5 67.969 (67.901)
Epoch: [73][5300/7045]	Time 0.187 (0.252)	Data 0.128 (0.186)	Loss 2.4498 (2.5612)	Prec@1 42.188 (38.117)	Prec@5 69.141 (67.902)
Epoch: [73][5310/7045]	Time 0.191 (0.252)	Data 0.138 (0.186)	Loss 2.8004 (2.5612)	Prec@1 35.156 (38.117)	Prec@5 67.188 (67.902)
Epoch: [73][5320/7045]	Time 0.102 (0.252)	Data 0.048 (0.186)	Loss 2.8894 (2.5613)	Prec@1 33.203 (38.115)	Prec@5 62.109 (67.899)
Epoch: [73][5330/7045]	Time 0.225 (0.252)	Data 0.172 (0.186)	Loss 2.4770 (2.5611)	Prec@1 37.500 (38.118)	Prec@5 70.703 (67.901)
Epoch: [73][5340/7045]	Time 0.102 (0.252)	Data 0.001 (0.186)	Loss 2.4698 (2.5610)	Prec@1 38.672 (38.121)	Prec@5 70.703 (67.902)
Epoch: [73][5350/7045]	Time 0.103 (0.252)	Data 0.001 (0.186)	Loss 2.5111 (2.5610)	Prec@1 37.891 (38.119)	Prec@5 66.406 (67.901)
Epoch: [73][5360/7045]	Time 0.683 (0.252)	Data 0.631 (0.186)	Loss 2.8563 (2.5612)	Prec@1 34.766 (38.116)	Prec@5 62.891 (67.897)
Epoch: [73][5370/7045]	Time 0.110 (0.252)	Data 0.001 (0.186)	Loss 2.7561 (2.5612)	Prec@1 36.328 (38.114)	Prec@5 63.281 (67.898)
Epoch: [73][5380/7045]	Time 0.575 (0.252)	Data 0.524 (0.186)	Loss 2.4755 (2.5612)	Prec@1 38.672 (38.116)	Prec@5 67.969 (67.898)
Epoch: [73][5390/7045]	Time 0.444 (0.252)	Data 0.392 (0.186)	Loss 2.5587 (2.5612)	Prec@1 39.844 (38.116)	Prec@5 70.312 (67.900)
Epoch: [73][5400/7045]	Time 0.184 (0.252)	Data 0.133 (0.186)	Loss 2.5986 (2.5613)	Prec@1 37.109 (38.116)	Prec@5 70.312 (67.901)
Epoch: [73][5410/7045]	Time 0.680 (0.252)	Data 0.621 (0.186)	Loss 2.5516 (2.5614)	Prec@1 37.500 (38.112)	Prec@5 69.141 (67.898)
Epoch: [73][5420/7045]	Time 0.102 (0.252)	Data 0.001 (0.185)	Loss 2.6642 (2.5614)	Prec@1 36.328 (38.112)	Prec@5 66.406 (67.898)
Epoch: [73][5430/7045]	Time 0.654 (0.252)	Data 0.603 (0.185)	Loss 2.7713 (2.5615)	Prec@1 31.641 (38.109)	Prec@5 62.891 (67.898)
Epoch: [73][5440/7045]	Time 0.108 (0.252)	Data 0.056 (0.185)	Loss 2.5270 (2.5615)	Prec@1 36.719 (38.108)	Prec@5 67.969 (67.898)
Epoch: [73][5450/7045]	Time 0.627 (0.252)	Data 0.574 (0.185)	Loss 2.6912 (2.5615)	Prec@1 38.672 (38.109)	Prec@5 66.406 (67.900)
Epoch: [73][5460/7045]	Time 0.101 (0.252)	Data 0.001 (0.185)	Loss 2.6214 (2.5615)	Prec@1 38.672 (38.108)	Prec@5 66.016 (67.898)
Epoch: [73][5470/7045]	Time 0.110 (0.252)	Data 0.001 (0.185)	Loss 2.4985 (2.5615)	Prec@1 36.719 (38.109)	Prec@5 69.531 (67.898)
Epoch: [73][5480/7045]	Time 0.102 (0.252)	Data 0.004 (0.185)	Loss 2.3436 (2.5615)	Prec@1 42.188 (38.109)	Prec@5 70.703 (67.898)
Epoch: [73][5490/7045]	Time 0.507 (0.252)	Data 0.456 (0.185)	Loss 2.5132 (2.5616)	Prec@1 39.453 (38.108)	Prec@5 67.578 (67.895)
Epoch: [73][5500/7045]	Time 0.102 (0.252)	Data 0.003 (0.185)	Loss 2.6310 (2.5617)	Prec@1 39.062 (38.107)	Prec@5 63.672 (67.893)
Epoch: [73][5510/7045]	Time 0.539 (0.252)	Data 0.488 (0.185)	Loss 2.6440 (2.5617)	Prec@1 35.938 (38.105)	Prec@5 66.797 (67.892)
Epoch: [73][5520/7045]	Time 0.101 (0.252)	Data 0.001 (0.185)	Loss 2.7556 (2.5619)	Prec@1 32.812 (38.103)	Prec@5 64.844 (67.889)
Epoch: [73][5530/7045]	Time 0.216 (0.252)	Data 0.163 (0.185)	Loss 2.6013 (2.5621)	Prec@1 41.016 (38.103)	Prec@5 66.797 (67.888)
Epoch: [73][5540/7045]	Time 0.177 (0.252)	Data 0.125 (0.185)	Loss 2.7306 (2.5621)	Prec@1 35.938 (38.103)	Prec@5 64.062 (67.887)
Epoch: [73][5550/7045]	Time 0.182 (0.252)	Data 0.130 (0.185)	Loss 2.6960 (2.5622)	Prec@1 36.719 (38.102)	Prec@5 64.453 (67.885)
Epoch: [73][5560/7045]	Time 0.126 (0.252)	Data 0.074 (0.185)	Loss 2.4939 (2.5623)	Prec@1 40.625 (38.099)	Prec@5 69.141 (67.882)
Epoch: [73][5570/7045]	Time 0.227 (0.252)	Data 0.175 (0.185)	Loss 2.3215 (2.5622)	Prec@1 46.094 (38.100)	Prec@5 71.484 (67.885)
Epoch: [73][5580/7045]	Time 0.110 (0.252)	Data 0.001 (0.185)	Loss 2.6683 (2.5621)	Prec@1 33.984 (38.100)	Prec@5 64.453 (67.885)
Epoch: [73][5590/7045]	Time 0.102 (0.252)	Data 0.007 (0.185)	Loss 2.8972 (2.5622)	Prec@1 34.375 (38.098)	Prec@5 61.719 (67.883)
Epoch: [73][5600/7045]	Time 0.102 (0.252)	Data 0.044 (0.185)	Loss 2.5865 (2.5622)	Prec@1 41.016 (38.099)	Prec@5 67.188 (67.883)
Epoch: [73][5610/7045]	Time 0.325 (0.252)	Data 0.274 (0.185)	Loss 2.7355 (2.5622)	Prec@1 39.062 (38.100)	Prec@5 63.672 (67.883)
Epoch: [73][5620/7045]	Time 0.101 (0.252)	Data 0.001 (0.185)	Loss 2.7467 (2.5622)	Prec@1 37.109 (38.101)	Prec@5 65.234 (67.885)
Epoch: [73][5630/7045]	Time 0.576 (0.252)	Data 0.524 (0.185)	Loss 2.5936 (2.5622)	Prec@1 36.719 (38.098)	Prec@5 68.359 (67.885)
Epoch: [73][5640/7045]	Time 0.166 (0.252)	Data 0.108 (0.185)	Loss 2.4427 (2.5623)	Prec@1 38.672 (38.096)	Prec@5 71.875 (67.883)
Epoch: [73][5650/7045]	Time 0.536 (0.252)	Data 0.484 (0.185)	Loss 2.5196 (2.5623)	Prec@1 37.109 (38.096)	Prec@5 70.312 (67.884)
Epoch: [73][5660/7045]	Time 0.103 (0.252)	Data 0.002 (0.185)	Loss 2.8100 (2.5624)	Prec@1 33.203 (38.095)	Prec@5 62.891 (67.882)
Epoch: [73][5670/7045]	Time 0.117 (0.252)	Data 0.064 (0.185)	Loss 2.6762 (2.5624)	Prec@1 34.766 (38.094)	Prec@5 66.406 (67.882)
Epoch: [73][5680/7045]	Time 0.102 (0.252)	Data 0.001 (0.185)	Loss 2.4268 (2.5624)	Prec@1 39.062 (38.092)	Prec@5 71.094 (67.881)
Epoch: [73][5690/7045]	Time 0.364 (0.252)	Data 0.313 (0.185)	Loss 2.5325 (2.5624)	Prec@1 37.891 (38.092)	Prec@5 69.141 (67.881)
Epoch: [73][5700/7045]	Time 0.585 (0.252)	Data 0.535 (0.185)	Loss 2.4975 (2.5624)	Prec@1 38.672 (38.093)	Prec@5 69.141 (67.882)
Epoch: [73][5710/7045]	Time 0.102 (0.252)	Data 0.001 (0.185)	Loss 2.6359 (2.5625)	Prec@1 36.719 (38.090)	Prec@5 63.281 (67.880)
Epoch: [73][5720/7045]	Time 0.442 (0.252)	Data 0.391 (0.185)	Loss 2.7782 (2.5626)	Prec@1 32.031 (38.087)	Prec@5 63.672 (67.879)
Epoch: [73][5730/7045]	Time 0.102 (0.251)	Data 0.003 (0.185)	Loss 2.3804 (2.5625)	Prec@1 41.797 (38.090)	Prec@5 72.266 (67.882)
Epoch: [73][5740/7045]	Time 0.368 (0.251)	Data 0.315 (0.185)	Loss 2.5335 (2.5625)	Prec@1 40.234 (38.090)	Prec@5 71.875 (67.883)
Epoch: [73][5750/7045]	Time 0.102 (0.251)	Data 0.001 (0.185)	Loss 2.5327 (2.5625)	Prec@1 39.844 (38.090)	Prec@5 68.750 (67.882)
Epoch: [73][5760/7045]	Time 0.113 (0.251)	Data 0.057 (0.185)	Loss 2.5153 (2.5626)	Prec@1 40.234 (38.090)	Prec@5 66.797 (67.882)
Epoch: [73][5770/7045]	Time 0.102 (0.251)	Data 0.001 (0.185)	Loss 2.6979 (2.5625)	Prec@1 38.672 (38.089)	Prec@5 66.797 (67.882)
Epoch: [73][5780/7045]	Time 0.233 (0.251)	Data 0.174 (0.185)	Loss 2.6439 (2.5627)	Prec@1 32.422 (38.086)	Prec@5 66.016 (67.881)
Epoch: [73][5790/7045]	Time 0.101 (0.251)	Data 0.008 (0.185)	Loss 2.4273 (2.5625)	Prec@1 41.406 (38.088)	Prec@5 68.359 (67.885)
Epoch: [73][5800/7045]	Time 0.157 (0.251)	Data 0.098 (0.185)	Loss 2.4026 (2.5626)	Prec@1 41.406 (38.089)	Prec@5 72.266 (67.885)
Epoch: [73][5810/7045]	Time 0.580 (0.251)	Data 0.528 (0.185)	Loss 2.6169 (2.5626)	Prec@1 33.203 (38.087)	Prec@5 64.062 (67.885)
Epoch: [73][5820/7045]	Time 0.102 (0.251)	Data 0.001 (0.185)	Loss 2.4295 (2.5624)	Prec@1 34.766 (38.088)	Prec@5 70.703 (67.887)
Epoch: [73][5830/7045]	Time 0.309 (0.251)	Data 0.251 (0.185)	Loss 2.3589 (2.5624)	Prec@1 41.406 (38.087)	Prec@5 69.531 (67.887)
Epoch: [73][5840/7045]	Time 0.161 (0.251)	Data 0.109 (0.185)	Loss 2.4431 (2.5624)	Prec@1 42.578 (38.087)	Prec@5 69.531 (67.889)
Epoch: [73][5850/7045]	Time 0.106 (0.251)	Data 0.054 (0.185)	Loss 2.6454 (2.5624)	Prec@1 36.719 (38.086)	Prec@5 65.234 (67.890)
Epoch: [73][5860/7045]	Time 0.102 (0.251)	Data 0.001 (0.185)	Loss 2.5594 (2.5625)	Prec@1 39.062 (38.084)	Prec@5 66.797 (67.887)
Epoch: [73][5870/7045]	Time 0.158 (0.251)	Data 0.106 (0.185)	Loss 2.4197 (2.5624)	Prec@1 39.453 (38.086)	Prec@5 70.703 (67.889)
Epoch: [73][5880/7045]	Time 0.596 (0.251)	Data 0.544 (0.185)	Loss 2.6823 (2.5625)	Prec@1 38.281 (38.085)	Prec@5 64.844 (67.885)
Epoch: [73][5890/7045]	Time 0.106 (0.251)	Data 0.046 (0.185)	Loss 2.5526 (2.5624)	Prec@1 38.672 (38.088)	Prec@5 68.750 (67.887)
Epoch: [73][5900/7045]	Time 0.435 (0.251)	Data 0.383 (0.185)	Loss 2.3367 (2.5624)	Prec@1 41.016 (38.089)	Prec@5 73.047 (67.888)
Epoch: [73][5910/7045]	Time 0.254 (0.251)	Data 0.203 (0.185)	Loss 2.4225 (2.5623)	Prec@1 40.625 (38.091)	Prec@5 71.094 (67.889)
Epoch: [73][5920/7045]	Time 0.184 (0.251)	Data 0.134 (0.185)	Loss 2.5552 (2.5624)	Prec@1 37.500 (38.092)	Prec@5 62.109 (67.887)
Epoch: [73][5930/7045]	Time 0.177 (0.251)	Data 0.125 (0.185)	Loss 2.7250 (2.5624)	Prec@1 34.766 (38.090)	Prec@5 66.406 (67.887)
Epoch: [73][5940/7045]	Time 0.164 (0.251)	Data 0.104 (0.185)	Loss 2.8383 (2.5624)	Prec@1 28.516 (38.088)	Prec@5 60.156 (67.885)
Epoch: [73][5950/7045]	Time 0.112 (0.251)	Data 0.060 (0.185)	Loss 2.5979 (2.5624)	Prec@1 40.234 (38.089)	Prec@5 66.016 (67.887)
Epoch: [73][5960/7045]	Time 0.151 (0.251)	Data 0.099 (0.185)	Loss 2.5318 (2.5624)	Prec@1 32.031 (38.088)	Prec@5 71.875 (67.888)
Epoch: [73][5970/7045]	Time 0.571 (0.251)	Data 0.519 (0.185)	Loss 2.5047 (2.5623)	Prec@1 35.938 (38.088)	Prec@5 70.703 (67.888)
Epoch: [73][5980/7045]	Time 0.144 (0.251)	Data 0.093 (0.185)	Loss 2.4879 (2.5623)	Prec@1 41.406 (38.090)	Prec@5 69.141 (67.889)
Epoch: [73][5990/7045]	Time 0.316 (0.251)	Data 0.264 (0.185)	Loss 2.6252 (2.5623)	Prec@1 37.500 (38.091)	Prec@5 64.453 (67.888)
Epoch: [73][6000/7045]	Time 0.107 (0.251)	Data 0.054 (0.185)	Loss 2.4733 (2.5623)	Prec@1 38.281 (38.092)	Prec@5 69.141 (67.887)
Epoch: [73][6010/7045]	Time 0.114 (0.251)	Data 0.054 (0.185)	Loss 2.6578 (2.5623)	Prec@1 39.453 (38.091)	Prec@5 64.062 (67.885)
Epoch: [73][6020/7045]	Time 0.102 (0.251)	Data 0.001 (0.185)	Loss 2.6164 (2.5623)	Prec@1 33.984 (38.091)	Prec@5 63.281 (67.885)
Epoch: [73][6030/7045]	Time 0.162 (0.251)	Data 0.110 (0.185)	Loss 2.3945 (2.5623)	Prec@1 41.016 (38.092)	Prec@5 69.531 (67.884)
Epoch: [73][6040/7045]	Time 0.102 (0.251)	Data 0.001 (0.185)	Loss 2.5944 (2.5623)	Prec@1 38.281 (38.092)	Prec@5 65.234 (67.884)
Epoch: [73][6050/7045]	Time 0.106 (0.251)	Data 0.053 (0.185)	Loss 2.6975 (2.5624)	Prec@1 35.156 (38.092)	Prec@5 64.844 (67.883)
Epoch: [73][6060/7045]	Time 0.518 (0.251)	Data 0.467 (0.185)	Loss 2.4636 (2.5624)	Prec@1 41.406 (38.089)	Prec@5 67.969 (67.883)
Epoch: [73][6070/7045]	Time 0.103 (0.251)	Data 0.001 (0.185)	Loss 2.5713 (2.5624)	Prec@1 34.375 (38.086)	Prec@5 66.406 (67.881)
Epoch: [73][6080/7045]	Time 0.464 (0.251)	Data 0.412 (0.185)	Loss 2.5967 (2.5624)	Prec@1 39.062 (38.084)	Prec@5 63.672 (67.881)
Epoch: [73][6090/7045]	Time 0.102 (0.251)	Data 0.001 (0.185)	Loss 2.8010 (2.5626)	Prec@1 34.375 (38.082)	Prec@5 63.672 (67.878)
Epoch: [73][6100/7045]	Time 0.108 (0.251)	Data 0.001 (0.185)	Loss 2.7346 (2.5627)	Prec@1 34.375 (38.082)	Prec@5 65.625 (67.876)
Epoch: [73][6110/7045]	Time 0.101 (0.251)	Data 0.001 (0.185)	Loss 2.5240 (2.5627)	Prec@1 40.625 (38.081)	Prec@5 67.969 (67.873)
Epoch: [73][6120/7045]	Time 0.164 (0.251)	Data 0.112 (0.185)	Loss 2.6617 (2.5628)	Prec@1 36.328 (38.080)	Prec@5 69.141 (67.873)
Epoch: [73][6130/7045]	Time 0.475 (0.251)	Data 0.423 (0.185)	Loss 2.4259 (2.5628)	Prec@1 37.891 (38.079)	Prec@5 69.531 (67.873)
Epoch: [73][6140/7045]	Time 0.120 (0.251)	Data 0.068 (0.185)	Loss 2.4599 (2.5628)	Prec@1 37.109 (38.078)	Prec@5 71.094 (67.873)
Epoch: [73][6150/7045]	Time 0.390 (0.251)	Data 0.337 (0.185)	Loss 2.6290 (2.5628)	Prec@1 37.500 (38.078)	Prec@5 66.016 (67.873)
Epoch: [73][6160/7045]	Time 0.102 (0.251)	Data 0.001 (0.185)	Loss 2.4284 (2.5628)	Prec@1 39.844 (38.080)	Prec@5 71.094 (67.873)
Epoch: [73][6170/7045]	Time 0.115 (0.251)	Data 0.063 (0.185)	Loss 2.2614 (2.5628)	Prec@1 47.266 (38.081)	Prec@5 69.531 (67.872)
Epoch: [73][6180/7045]	Time 0.189 (0.251)	Data 0.138 (0.185)	Loss 2.6621 (2.5628)	Prec@1 41.797 (38.081)	Prec@5 65.625 (67.872)
Epoch: [73][6190/7045]	Time 0.103 (0.251)	Data 0.013 (0.185)	Loss 2.7535 (2.5628)	Prec@1 33.984 (38.080)	Prec@5 66.016 (67.871)
Epoch: [73][6200/7045]	Time 0.111 (0.251)	Data 0.059 (0.185)	Loss 2.4492 (2.5629)	Prec@1 38.281 (38.080)	Prec@5 69.922 (67.870)
Epoch: [73][6210/7045]	Time 0.255 (0.251)	Data 0.202 (0.185)	Loss 2.3279 (2.5629)	Prec@1 37.109 (38.080)	Prec@5 71.875 (67.870)
Epoch: [73][6220/7045]	Time 0.540 (0.251)	Data 0.488 (0.185)	Loss 2.6503 (2.5630)	Prec@1 32.422 (38.079)	Prec@5 66.406 (67.870)
Epoch: [73][6230/7045]	Time 0.102 (0.251)	Data 0.001 (0.185)	Loss 2.6411 (2.5630)	Prec@1 43.750 (38.083)	Prec@5 66.797 (67.868)
Epoch: [73][6240/7045]	Time 0.350 (0.251)	Data 0.298 (0.185)	Loss 2.5913 (2.5630)	Prec@1 40.234 (38.083)	Prec@5 67.578 (67.868)
Epoch: [73][6250/7045]	Time 0.217 (0.251)	Data 0.164 (0.185)	Loss 2.3344 (2.5629)	Prec@1 40.625 (38.086)	Prec@5 71.094 (67.871)
Epoch: [73][6260/7045]	Time 0.101 (0.251)	Data 0.031 (0.185)	Loss 2.3781 (2.5629)	Prec@1 43.750 (38.086)	Prec@5 71.875 (67.871)
Epoch: [73][6270/7045]	Time 0.505 (0.251)	Data 0.453 (0.185)	Loss 2.4694 (2.5629)	Prec@1 39.453 (38.086)	Prec@5 69.141 (67.874)
Epoch: [73][6280/7045]	Time 0.290 (0.251)	Data 0.237 (0.185)	Loss 2.5000 (2.5629)	Prec@1 32.812 (38.083)	Prec@5 69.531 (67.873)
Epoch: [73][6290/7045]	Time 0.174 (0.251)	Data 0.122 (0.185)	Loss 2.4073 (2.5629)	Prec@1 42.969 (38.083)	Prec@5 72.656 (67.874)
Epoch: [73][6300/7045]	Time 0.155 (0.251)	Data 0.102 (0.185)	Loss 2.5809 (2.5630)	Prec@1 39.453 (38.082)	Prec@5 64.844 (67.872)
Epoch: [73][6310/7045]	Time 0.526 (0.251)	Data 0.467 (0.185)	Loss 2.7864 (2.5630)	Prec@1 33.984 (38.081)	Prec@5 65.234 (67.871)
Epoch: [73][6320/7045]	Time 0.109 (0.251)	Data 0.007 (0.185)	Loss 2.4563 (2.5629)	Prec@1 41.016 (38.083)	Prec@5 70.703 (67.871)
Epoch: [73][6330/7045]	Time 0.393 (0.251)	Data 0.341 (0.185)	Loss 2.5425 (2.5629)	Prec@1 38.281 (38.085)	Prec@5 67.188 (67.872)
Epoch: [73][6340/7045]	Time 0.268 (0.251)	Data 0.216 (0.185)	Loss 2.5848 (2.5629)	Prec@1 39.062 (38.085)	Prec@5 69.141 (67.871)
Epoch: [73][6350/7045]	Time 0.110 (0.251)	Data 0.006 (0.185)	Loss 2.4128 (2.5628)	Prec@1 35.547 (38.085)	Prec@5 69.531 (67.872)
Epoch: [73][6360/7045]	Time 0.525 (0.251)	Data 0.473 (0.185)	Loss 2.5719 (2.5628)	Prec@1 37.891 (38.088)	Prec@5 69.141 (67.872)
Epoch: [73][6370/7045]	Time 0.150 (0.251)	Data 0.092 (0.185)	Loss 2.6746 (2.5628)	Prec@1 38.672 (38.090)	Prec@5 66.797 (67.872)
Epoch: [73][6380/7045]	Time 0.286 (0.251)	Data 0.235 (0.185)	Loss 2.4517 (2.5627)	Prec@1 38.281 (38.093)	Prec@5 69.922 (67.874)
Epoch: [73][6390/7045]	Time 0.488 (0.251)	Data 0.436 (0.185)	Loss 2.5026 (2.5627)	Prec@1 38.281 (38.093)	Prec@5 70.312 (67.875)
Epoch: [73][6400/7045]	Time 0.268 (0.251)	Data 0.215 (0.185)	Loss 2.5545 (2.5627)	Prec@1 35.938 (38.094)	Prec@5 70.703 (67.877)
Epoch: [73][6410/7045]	Time 0.102 (0.251)	Data 0.018 (0.185)	Loss 2.7458 (2.5627)	Prec@1 37.891 (38.094)	Prec@5 63.281 (67.874)
Epoch: [73][6420/7045]	Time 0.102 (0.251)	Data 0.001 (0.185)	Loss 2.6697 (2.5628)	Prec@1 32.031 (38.090)	Prec@5 69.922 (67.874)
Epoch: [73][6430/7045]	Time 0.221 (0.251)	Data 0.170 (0.185)	Loss 2.5529 (2.5629)	Prec@1 37.109 (38.090)	Prec@5 66.016 (67.871)
Epoch: [73][6440/7045]	Time 0.463 (0.251)	Data 0.411 (0.185)	Loss 2.6047 (2.5629)	Prec@1 33.594 (38.089)	Prec@5 66.406 (67.872)
Epoch: [73][6450/7045]	Time 0.122 (0.251)	Data 0.071 (0.185)	Loss 2.5929 (2.5628)	Prec@1 37.891 (38.090)	Prec@5 69.141 (67.872)
Epoch: [73][6460/7045]	Time 0.628 (0.251)	Data 0.576 (0.185)	Loss 2.4069 (2.5627)	Prec@1 38.672 (38.091)	Prec@5 70.703 (67.876)
Epoch: [73][6470/7045]	Time 0.110 (0.251)	Data 0.003 (0.185)	Loss 2.5881 (2.5627)	Prec@1 35.156 (38.091)	Prec@5 66.406 (67.874)
Epoch: [73][6480/7045]	Time 0.522 (0.251)	Data 0.471 (0.185)	Loss 2.5047 (2.5625)	Prec@1 38.672 (38.093)	Prec@5 65.234 (67.877)
Epoch: [73][6490/7045]	Time 0.102 (0.251)	Data 0.004 (0.185)	Loss 2.5696 (2.5625)	Prec@1 36.719 (38.093)	Prec@5 66.406 (67.877)
Epoch: [73][6500/7045]	Time 0.354 (0.251)	Data 0.294 (0.185)	Loss 2.5170 (2.5626)	Prec@1 37.891 (38.091)	Prec@5 67.969 (67.875)
Epoch: [73][6510/7045]	Time 0.126 (0.251)	Data 0.075 (0.185)	Loss 2.5043 (2.5626)	Prec@1 37.891 (38.090)	Prec@5 69.141 (67.875)
Epoch: [73][6520/7045]	Time 0.220 (0.251)	Data 0.169 (0.185)	Loss 2.4963 (2.5626)	Prec@1 37.891 (38.090)	Prec@5 66.016 (67.872)
Epoch: [73][6530/7045]	Time 0.157 (0.251)	Data 0.106 (0.185)	Loss 2.5966 (2.5627)	Prec@1 37.891 (38.089)	Prec@5 70.312 (67.872)
Epoch: [73][6540/7045]	Time 0.200 (0.251)	Data 0.148 (0.185)	Loss 2.7758 (2.5628)	Prec@1 35.547 (38.088)	Prec@5 66.406 (67.872)
Epoch: [73][6550/7045]	Time 0.110 (0.251)	Data 0.001 (0.185)	Loss 2.2562 (2.5627)	Prec@1 46.875 (38.088)	Prec@5 73.828 (67.873)
Epoch: [73][6560/7045]	Time 0.101 (0.251)	Data 0.001 (0.185)	Loss 2.5133 (2.5627)	Prec@1 40.234 (38.088)	Prec@5 69.141 (67.875)
Epoch: [73][6570/7045]	Time 0.532 (0.251)	Data 0.480 (0.185)	Loss 2.4974 (2.5626)	Prec@1 39.453 (38.090)	Prec@5 71.094 (67.876)
Epoch: [73][6580/7045]	Time 0.360 (0.251)	Data 0.309 (0.185)	Loss 2.6018 (2.5626)	Prec@1 36.328 (38.090)	Prec@5 64.062 (67.876)
Epoch: [73][6590/7045]	Time 0.278 (0.251)	Data 0.227 (0.185)	Loss 2.7127 (2.5625)	Prec@1 33.594 (38.093)	Prec@5 66.406 (67.877)
Epoch: [73][6600/7045]	Time 0.463 (0.251)	Data 0.412 (0.185)	Loss 2.5799 (2.5624)	Prec@1 37.109 (38.095)	Prec@5 67.969 (67.878)
Epoch: [73][6610/7045]	Time 0.101 (0.251)	Data 0.010 (0.185)	Loss 2.5409 (2.5623)	Prec@1 36.328 (38.096)	Prec@5 65.234 (67.880)
Epoch: [73][6620/7045]	Time 0.334 (0.251)	Data 0.282 (0.185)	Loss 2.4289 (2.5624)	Prec@1 43.359 (38.096)	Prec@5 69.141 (67.878)
Epoch: [73][6630/7045]	Time 0.108 (0.251)	Data 0.003 (0.185)	Loss 2.6622 (2.5623)	Prec@1 38.281 (38.099)	Prec@5 65.625 (67.880)
Epoch: [73][6640/7045]	Time 0.370 (0.251)	Data 0.318 (0.185)	Loss 2.4064 (2.5623)	Prec@1 39.062 (38.097)	Prec@5 71.094 (67.881)
Epoch: [73][6650/7045]	Time 0.109 (0.251)	Data 0.056 (0.185)	Loss 2.6748 (2.5623)	Prec@1 36.328 (38.098)	Prec@5 68.359 (67.880)
Epoch: [73][6660/7045]	Time 0.473 (0.251)	Data 0.421 (0.185)	Loss 2.5379 (2.5623)	Prec@1 37.500 (38.100)	Prec@5 70.312 (67.882)
Epoch: [73][6670/7045]	Time 0.234 (0.251)	Data 0.182 (0.185)	Loss 2.5230 (2.5623)	Prec@1 37.891 (38.100)	Prec@5 67.578 (67.882)
Epoch: [73][6680/7045]	Time 0.102 (0.251)	Data 0.001 (0.185)	Loss 2.7538 (2.5624)	Prec@1 37.891 (38.099)	Prec@5 60.938 (67.879)
Epoch: [73][6690/7045]	Time 0.109 (0.251)	Data 0.058 (0.185)	Loss 2.7158 (2.5624)	Prec@1 34.375 (38.099)	Prec@5 62.500 (67.880)
Epoch: [73][6700/7045]	Time 0.102 (0.251)	Data 0.004 (0.185)	Loss 2.5529 (2.5624)	Prec@1 37.891 (38.099)	Prec@5 66.406 (67.880)
Epoch: [73][6710/7045]	Time 0.195 (0.251)	Data 0.143 (0.185)	Loss 2.7174 (2.5624)	Prec@1 35.156 (38.098)	Prec@5 65.625 (67.879)
Epoch: [73][6720/7045]	Time 0.101 (0.251)	Data 0.001 (0.185)	Loss 2.6068 (2.5625)	Prec@1 36.328 (38.097)	Prec@5 69.922 (67.878)
Epoch: [73][6730/7045]	Time 0.110 (0.251)	Data 0.013 (0.185)	Loss 2.5343 (2.5625)	Prec@1 41.797 (38.096)	Prec@5 66.797 (67.877)
Epoch: [73][6740/7045]	Time 0.342 (0.251)	Data 0.292 (0.185)	Loss 2.4442 (2.5626)	Prec@1 43.750 (38.096)	Prec@5 70.312 (67.875)
Epoch: [73][6750/7045]	Time 0.299 (0.251)	Data 0.248 (0.185)	Loss 2.5000 (2.5626)	Prec@1 41.016 (38.096)	Prec@5 74.609 (67.877)
Epoch: [73][6760/7045]	Time 0.639 (0.251)	Data 0.587 (0.185)	Loss 2.5527 (2.5625)	Prec@1 35.547 (38.096)	Prec@5 67.578 (67.878)
Epoch: [73][6770/7045]	Time 0.112 (0.251)	Data 0.001 (0.185)	Loss 2.6886 (2.5625)	Prec@1 33.203 (38.094)	Prec@5 65.234 (67.878)
Epoch: [73][6780/7045]	Time 0.270 (0.251)	Data 0.219 (0.185)	Loss 2.5943 (2.5624)	Prec@1 37.109 (38.095)	Prec@5 64.453 (67.880)
Epoch: [73][6790/7045]	Time 0.388 (0.251)	Data 0.337 (0.185)	Loss 2.5257 (2.5624)	Prec@1 39.844 (38.096)	Prec@5 67.969 (67.882)
Epoch: [73][6800/7045]	Time 0.109 (0.251)	Data 0.008 (0.185)	Loss 2.4910 (2.5624)	Prec@1 41.406 (38.094)	Prec@5 66.406 (67.880)
Epoch: [73][6810/7045]	Time 0.516 (0.251)	Data 0.464 (0.185)	Loss 2.4783 (2.5624)	Prec@1 42.578 (38.095)	Prec@5 70.312 (67.880)
Epoch: [73][6820/7045]	Time 0.113 (0.251)	Data 0.061 (0.185)	Loss 2.4524 (2.5623)	Prec@1 37.500 (38.097)	Prec@5 72.656 (67.883)
Epoch: [73][6830/7045]	Time 0.661 (0.251)	Data 0.609 (0.185)	Loss 2.5763 (2.5624)	Prec@1 36.719 (38.095)	Prec@5 70.312 (67.881)
Epoch: [73][6840/7045]	Time 0.102 (0.251)	Data 0.006 (0.185)	Loss 2.6479 (2.5623)	Prec@1 32.812 (38.096)	Prec@5 66.016 (67.883)
Epoch: [73][6850/7045]	Time 0.148 (0.251)	Data 0.089 (0.185)	Loss 2.5858 (2.5623)	Prec@1 38.672 (38.097)	Prec@5 68.359 (67.883)
Epoch: [73][6860/7045]	Time 0.102 (0.251)	Data 0.001 (0.185)	Loss 2.4352 (2.5622)	Prec@1 41.016 (38.098)	Prec@5 71.484 (67.884)
Epoch: [73][6870/7045]	Time 0.107 (0.251)	Data 0.054 (0.185)	Loss 2.5870 (2.5622)	Prec@1 39.844 (38.099)	Prec@5 63.672 (67.884)
Epoch: [73][6880/7045]	Time 0.101 (0.251)	Data 0.004 (0.185)	Loss 2.5726 (2.5622)	Prec@1 37.500 (38.097)	Prec@5 68.359 (67.883)
Epoch: [73][6890/7045]	Time 0.107 (0.251)	Data 0.054 (0.185)	Loss 2.5317 (2.5623)	Prec@1 39.453 (38.097)	Prec@5 71.484 (67.882)
Epoch: [73][6900/7045]	Time 0.126 (0.251)	Data 0.064 (0.185)	Loss 2.6842 (2.5623)	Prec@1 38.672 (38.097)	Prec@5 65.625 (67.883)
Epoch: [73][6910/7045]	Time 0.102 (0.251)	Data 0.001 (0.185)	Loss 2.6871 (2.5623)	Prec@1 34.766 (38.098)	Prec@5 66.406 (67.882)
Epoch: [73][6920/7045]	Time 0.114 (0.251)	Data 0.063 (0.185)	Loss 2.6299 (2.5623)	Prec@1 41.016 (38.097)	Prec@5 67.188 (67.883)
Epoch: [73][6930/7045]	Time 0.367 (0.251)	Data 0.316 (0.185)	Loss 2.7420 (2.5624)	Prec@1 36.719 (38.095)	Prec@5 65.234 (67.880)
Epoch: [73][6940/7045]	Time 0.109 (0.251)	Data 0.007 (0.185)	Loss 2.6963 (2.5624)	Prec@1 36.328 (38.093)	Prec@5 64.453 (67.881)
Epoch: [73][6950/7045]	Time 0.564 (0.251)	Data 0.512 (0.185)	Loss 2.5126 (2.5624)	Prec@1 39.062 (38.093)	Prec@5 71.484 (67.882)
Epoch: [73][6960/7045]	Time 0.318 (0.251)	Data 0.267 (0.185)	Loss 2.5423 (2.5625)	Prec@1 37.891 (38.092)	Prec@5 66.016 (67.881)
Epoch: [73][6970/7045]	Time 0.110 (0.251)	Data 0.019 (0.185)	Loss 2.5057 (2.5625)	Prec@1 37.891 (38.091)	Prec@5 66.797 (67.880)
Epoch: [73][6980/7045]	Time 0.313 (0.251)	Data 0.261 (0.185)	Loss 2.6671 (2.5625)	Prec@1 35.938 (38.090)	Prec@5 67.188 (67.879)
Epoch: [73][6990/7045]	Time 0.213 (0.251)	Data 0.161 (0.185)	Loss 2.5591 (2.5625)	Prec@1 41.406 (38.088)	Prec@5 64.453 (67.880)
Epoch: [73][7000/7045]	Time 0.102 (0.251)	Data 0.001 (0.185)	Loss 2.2967 (2.5625)	Prec@1 42.578 (38.087)	Prec@5 71.875 (67.881)
Epoch: [73][7010/7045]	Time 0.102 (0.251)	Data 0.008 (0.185)	Loss 2.5006 (2.5625)	Prec@1 39.062 (38.085)	Prec@5 68.750 (67.880)
Epoch: [73][7020/7045]	Time 0.103 (0.251)	Data 0.001 (0.185)	Loss 2.5257 (2.5625)	Prec@1 37.891 (38.086)	Prec@5 71.094 (67.879)
Epoch: [73][7030/7045]	Time 0.537 (0.251)	Data 0.484 (0.185)	Loss 2.4713 (2.5625)	Prec@1 38.281 (38.085)	Prec@5 69.141 (67.879)
Epoch: [73][7040/7045]	Time 0.118 (0.251)	Data 0.058 (0.185)	Loss 2.4403 (2.5624)	Prec@1 40.234 (38.088)	Prec@5 74.219 (67.883)
Test: [0/143]	Time 1.186 (1.186)	Loss 2.1861 (2.1861)	Prec@1 47.656 (47.656)	Prec@5 74.219 (74.219)
Test: [10/143]	Time 0.060 (0.236)	Loss 1.6631 (2.0679)	Prec@1 61.719 (48.935)	Prec@5 84.375 (77.876)
Test: [20/143]	Time 0.319 (0.217)	Loss 2.2249 (2.0342)	Prec@1 45.312 (47.675)	Prec@5 74.609 (78.813)
Test: [30/143]	Time 0.118 (0.202)	Loss 2.2650 (2.0409)	Prec@1 44.531 (47.883)	Prec@5 70.312 (78.024)
Test: [40/143]	Time 0.263 (0.196)	Loss 2.7957 (2.0749)	Prec@1 25.781 (47.113)	Prec@5 67.578 (77.229)
Test: [50/143]	Time 0.177 (0.191)	Loss 1.9341 (2.1235)	Prec@1 44.922 (45.542)	Prec@5 82.422 (76.785)
Test: [60/143]	Time 0.152 (0.187)	Loss 2.4144 (2.1138)	Prec@1 34.766 (45.838)	Prec@5 73.438 (76.921)
Test: [70/143]	Time 0.187 (0.185)	Loss 3.0052 (2.1053)	Prec@1 24.219 (46.011)	Prec@5 60.156 (77.113)
Test: [80/143]	Time 0.211 (0.185)	Loss 1.9990 (2.0972)	Prec@1 46.484 (46.123)	Prec@5 80.469 (77.349)
Test: [90/143]	Time 0.059 (0.182)	Loss 1.7620 (2.0910)	Prec@1 56.641 (46.171)	Prec@5 86.719 (77.520)
Test: [100/143]	Time 0.174 (0.181)	Loss 1.8678 (2.0889)	Prec@1 53.516 (46.167)	Prec@5 84.766 (77.653)
Test: [110/143]	Time 0.275 (0.181)	Loss 1.8195 (2.0829)	Prec@1 52.734 (46.498)	Prec@5 82.422 (77.798)
Test: [120/143]	Time 0.115 (0.180)	Loss 1.7557 (2.0763)	Prec@1 57.031 (46.720)	Prec@5 85.156 (77.831)
Test: [130/143]	Time 0.128 (0.179)	Loss 1.5675 (2.0842)	Prec@1 65.234 (46.654)	Prec@5 81.250 (77.621)
Test: [140/143]	Time 0.224 (0.179)	Loss 3.2068 (2.1104)	Prec@1 22.266 (46.038)	Prec@5 60.938 (77.178)
 * Prec@1 46.071 Prec@5 77.184
Epoch: [74][0/7045]	Time 2.593 (2.593)	Data 2.536 (2.536)	Loss 2.3715 (2.3715)	Prec@1 45.312 (45.312)	Prec@5 70.703 (70.703)
Epoch: [74][10/7045]	Time 0.272 (0.435)	Data 0.220 (0.367)	Loss 2.5479 (2.5237)	Prec@1 36.719 (39.027)	Prec@5 67.188 (67.223)
Epoch: [74][20/7045]	Time 0.252 (0.353)	Data 0.201 (0.290)	Loss 2.6522 (2.5345)	Prec@1 37.500 (39.007)	Prec@5 66.016 (67.746)
Epoch: [74][30/7045]	Time 0.144 (0.318)	Data 0.092 (0.257)	Loss 2.5301 (2.5374)	Prec@1 35.938 (38.647)	Prec@5 70.312 (67.918)
Epoch: [74][40/7045]	Time 0.343 (0.311)	Data 0.283 (0.250)	Loss 2.5352 (2.5485)	Prec@1 38.281 (38.443)	Prec@5 67.969 (67.721)
Epoch: [74][50/7045]	Time 0.113 (0.292)	Data 0.061 (0.230)	Loss 2.8004 (2.5549)	Prec@1 31.641 (38.051)	Prec@5 58.984 (67.678)
Epoch: [74][60/7045]	Time 0.241 (0.288)	Data 0.189 (0.228)	Loss 2.4202 (2.5467)	Prec@1 37.891 (38.192)	Prec@5 72.266 (68.039)
Epoch: [74][70/7045]	Time 0.572 (0.285)	Data 0.512 (0.225)	Loss 2.2850 (2.5373)	Prec@1 41.797 (38.353)	Prec@5 75.000 (68.266)
Epoch: [74][80/7045]	Time 0.107 (0.279)	Data 0.001 (0.219)	Loss 2.6571 (2.5447)	Prec@1 35.938 (38.064)	Prec@5 62.891 (68.166)
Epoch: [74][90/7045]	Time 0.393 (0.275)	Data 0.342 (0.216)	Loss 2.6133 (2.5409)	Prec@1 36.719 (38.213)	Prec@5 64.453 (68.209)
Epoch: [74][100/7045]	Time 0.110 (0.272)	Data 0.057 (0.212)	Loss 2.5632 (2.5430)	Prec@1 36.719 (38.096)	Prec@5 70.703 (68.158)
Epoch: [74][110/7045]	Time 0.101 (0.270)	Data 0.001 (0.211)	Loss 2.4536 (2.5421)	Prec@1 37.500 (38.053)	Prec@5 67.578 (68.250)
Epoch: [74][120/7045]	Time 0.102 (0.267)	Data 0.004 (0.207)	Loss 2.6459 (2.5446)	Prec@1 34.766 (38.062)	Prec@5 66.406 (68.162)
Epoch: [74][130/7045]	Time 0.541 (0.269)	Data 0.489 (0.209)	Loss 2.4629 (2.5423)	Prec@1 41.406 (38.147)	Prec@5 67.188 (68.130)
Epoch: [74][140/7045]	Time 0.192 (0.265)	Data 0.140 (0.204)	Loss 2.5020 (2.5417)	Prec@1 37.891 (38.170)	Prec@5 69.141 (68.171)
Epoch: [74][150/7045]	Time 0.364 (0.264)	Data 0.305 (0.203)	Loss 2.5915 (2.5423)	Prec@1 33.984 (38.206)	Prec@5 67.578 (68.178)
Epoch: [74][160/7045]	Time 0.395 (0.263)	Data 0.345 (0.202)	Loss 2.3469 (2.5357)	Prec@1 46.484 (38.403)	Prec@5 70.312 (68.299)
Epoch: [74][170/7045]	Time 0.102 (0.263)	Data 0.001 (0.201)	Loss 2.7733 (2.5361)	Prec@1 35.938 (38.354)	Prec@5 63.281 (68.270)
Epoch: [74][180/7045]	Time 0.285 (0.260)	Data 0.232 (0.198)	Loss 2.6223 (2.5372)	Prec@1 35.156 (38.311)	Prec@5 69.141 (68.277)
Epoch: [74][190/7045]	Time 0.107 (0.260)	Data 0.054 (0.198)	Loss 2.5775 (2.5343)	Prec@1 41.797 (38.375)	Prec@5 67.578 (68.310)
Epoch: [74][200/7045]	Time 0.259 (0.260)	Data 0.208 (0.198)	Loss 2.5662 (2.5358)	Prec@1 37.109 (38.328)	Prec@5 69.141 (68.276)
Epoch: [74][210/7045]	Time 0.132 (0.258)	Data 0.080 (0.197)	Loss 2.4270 (2.5353)	Prec@1 41.797 (38.368)	Prec@5 69.922 (68.269)
Epoch: [74][220/7045]	Time 0.465 (0.258)	Data 0.413 (0.197)	Loss 2.5473 (2.5384)	Prec@1 37.109 (38.361)	Prec@5 72.656 (68.232)
Epoch: [74][230/7045]	Time 0.321 (0.258)	Data 0.269 (0.197)	Loss 2.3616 (2.5383)	Prec@1 44.141 (38.386)	Prec@5 72.656 (68.222)
Epoch: [74][240/7045]	Time 0.257 (0.257)	Data 0.205 (0.196)	Loss 2.5996 (2.5400)	Prec@1 37.891 (38.328)	Prec@5 66.797 (68.207)
Epoch: [74][250/7045]	Time 0.438 (0.257)	Data 0.386 (0.196)	Loss 2.4248 (2.5394)	Prec@1 40.234 (38.342)	Prec@5 69.141 (68.216)
Epoch: [74][260/7045]	Time 0.102 (0.257)	Data 0.001 (0.196)	Loss 2.5123 (2.5399)	Prec@1 36.719 (38.308)	Prec@5 69.922 (68.193)
Epoch: [74][270/7045]	Time 0.182 (0.255)	Data 0.130 (0.194)	Loss 2.5009 (2.5404)	Prec@1 42.188 (38.342)	Prec@5 69.922 (68.192)
Epoch: [74][280/7045]	Time 0.102 (0.255)	Data 0.003 (0.194)	Loss 2.6953 (2.5437)	Prec@1 35.547 (38.233)	Prec@5 64.062 (68.141)
Epoch: [74][290/7045]	Time 0.324 (0.255)	Data 0.273 (0.194)	Loss 2.5165 (2.5431)	Prec@1 41.016 (38.297)	Prec@5 68.750 (68.165)
Epoch: [74][300/7045]	Time 0.102 (0.254)	Data 0.049 (0.193)	Loss 2.5841 (2.5435)	Prec@1 35.938 (38.290)	Prec@5 66.406 (68.185)
Epoch: [74][310/7045]	Time 0.643 (0.255)	Data 0.584 (0.194)	Loss 2.5778 (2.5444)	Prec@1 39.453 (38.260)	Prec@5 69.141 (68.180)
Epoch: [74][320/7045]	Time 0.261 (0.254)	Data 0.209 (0.192)	Loss 2.4557 (2.5440)	Prec@1 39.453 (38.319)	Prec@5 71.875 (68.200)
Epoch: [74][330/7045]	Time 0.481 (0.254)	Data 0.429 (0.192)	Loss 2.4954 (2.5434)	Prec@1 40.625 (38.357)	Prec@5 65.234 (68.195)
Epoch: [74][340/7045]	Time 0.104 (0.253)	Data 0.051 (0.191)	Loss 2.5546 (2.5410)	Prec@1 37.891 (38.412)	Prec@5 69.141 (68.224)
Epoch: [74][350/7045]	Time 0.101 (0.254)	Data 0.006 (0.191)	Loss 2.8954 (2.5414)	Prec@1 32.812 (38.385)	Prec@5 61.328 (68.233)
Epoch: [74][360/7045]	Time 0.102 (0.253)	Data 0.005 (0.190)	Loss 2.2231 (2.5404)	Prec@1 46.094 (38.475)	Prec@5 74.609 (68.255)
Epoch: [74][370/7045]	Time 0.101 (0.253)	Data 0.001 (0.190)	Loss 2.6477 (2.5411)	Prec@1 34.766 (38.466)	Prec@5 66.797 (68.212)
Epoch: [74][380/7045]	Time 0.378 (0.253)	Data 0.327 (0.189)	Loss 2.7347 (2.5434)	Prec@1 38.672 (38.475)	Prec@5 66.406 (68.167)
Epoch: [74][390/7045]	Time 0.103 (0.252)	Data 0.001 (0.189)	Loss 2.4873 (2.5451)	Prec@1 35.547 (38.436)	Prec@5 69.531 (68.132)
Epoch: [74][400/7045]	Time 0.527 (0.253)	Data 0.469 (0.189)	Loss 2.7324 (2.5458)	Prec@1 33.203 (38.423)	Prec@5 64.062 (68.131)
Epoch: [74][410/7045]	Time 0.313 (0.252)	Data 0.261 (0.189)	Loss 2.7462 (2.5472)	Prec@1 35.156 (38.389)	Prec@5 66.016 (68.108)
Epoch: [74][420/7045]	Time 0.344 (0.252)	Data 0.291 (0.189)	Loss 2.7579 (2.5477)	Prec@1 35.547 (38.364)	Prec@5 64.062 (68.109)
Epoch: [74][430/7045]	Time 0.211 (0.251)	Data 0.159 (0.189)	Loss 2.3173 (2.5493)	Prec@1 46.094 (38.334)	Prec@5 70.312 (68.057)
Epoch: [74][440/7045]	Time 0.102 (0.252)	Data 0.001 (0.189)	Loss 2.5822 (2.5493)	Prec@1 38.281 (38.341)	Prec@5 66.406 (68.069)
Epoch: [74][450/7045]	Time 0.102 (0.251)	Data 0.001 (0.188)	Loss 2.4997 (2.5486)	Prec@1 41.016 (38.355)	Prec@5 68.359 (68.072)
Epoch: [74][460/7045]	Time 0.102 (0.251)	Data 0.005 (0.188)	Loss 2.5532 (2.5482)	Prec@1 37.891 (38.379)	Prec@5 66.797 (68.073)
Epoch: [74][470/7045]	Time 0.625 (0.252)	Data 0.568 (0.188)	Loss 2.5485 (2.5493)	Prec@1 39.062 (38.363)	Prec@5 71.094 (68.071)
Epoch: [74][480/7045]	Time 0.110 (0.251)	Data 0.001 (0.187)	Loss 2.3729 (2.5480)	Prec@1 40.234 (38.377)	Prec@5 71.094 (68.104)
Epoch: [74][490/7045]	Time 0.616 (0.251)	Data 0.564 (0.187)	Loss 2.6062 (2.5487)	Prec@1 38.281 (38.381)	Prec@5 66.016 (68.108)
Epoch: [74][500/7045]	Time 0.109 (0.250)	Data 0.001 (0.186)	Loss 2.4516 (2.5492)	Prec@1 36.719 (38.385)	Prec@5 73.828 (68.101)
Epoch: [74][510/7045]	Time 0.588 (0.251)	Data 0.529 (0.186)	Loss 2.6715 (2.5478)	Prec@1 32.031 (38.405)	Prec@5 65.234 (68.116)
Epoch: [74][520/7045]	Time 0.108 (0.250)	Data 0.001 (0.185)	Loss 2.6324 (2.5479)	Prec@1 35.938 (38.417)	Prec@5 66.016 (68.131)
Epoch: [74][530/7045]	Time 0.633 (0.250)	Data 0.574 (0.185)	Loss 2.5545 (2.5483)	Prec@1 36.328 (38.403)	Prec@5 66.016 (68.108)
Epoch: [74][540/7045]	Time 0.107 (0.249)	Data 0.005 (0.184)	Loss 2.5617 (2.5484)	Prec@1 34.766 (38.383)	Prec@5 72.266 (68.119)
Epoch: [74][550/7045]	Time 0.617 (0.250)	Data 0.557 (0.185)	Loss 2.6749 (2.5481)	Prec@1 37.891 (38.385)	Prec@5 68.750 (68.141)
Epoch: [74][560/7045]	Time 0.108 (0.249)	Data 0.001 (0.184)	Loss 2.6431 (2.5471)	Prec@1 35.156 (38.406)	Prec@5 66.406 (68.153)
Epoch: [74][570/7045]	Time 0.617 (0.249)	Data 0.558 (0.184)	Loss 2.4072 (2.5465)	Prec@1 39.453 (38.419)	Prec@5 67.578 (68.153)
Epoch: [74][580/7045]	Time 0.103 (0.249)	Data 0.051 (0.183)	Loss 2.5215 (2.5459)	Prec@1 40.625 (38.441)	Prec@5 67.578 (68.156)
Epoch: [74][590/7045]	Time 0.612 (0.249)	Data 0.559 (0.183)	Loss 2.5784 (2.5449)	Prec@1 35.156 (38.462)	Prec@5 68.359 (68.183)
Epoch: [74][600/7045]	Time 0.110 (0.248)	Data 0.004 (0.183)	Loss 2.5009 (2.5444)	Prec@1 37.109 (38.470)	Prec@5 72.266 (68.199)
Epoch: [74][610/7045]	Time 0.489 (0.248)	Data 0.437 (0.183)	Loss 2.4048 (2.5441)	Prec@1 40.234 (38.470)	Prec@5 70.703 (68.201)
Epoch: [74][620/7045]	Time 0.100 (0.248)	Data 0.005 (0.183)	Loss 2.6003 (2.5440)	Prec@1 37.109 (38.477)	Prec@5 66.406 (68.204)
Epoch: [74][630/7045]	Time 0.476 (0.248)	Data 0.424 (0.183)	Loss 2.5217 (2.5446)	Prec@1 40.625 (38.491)	Prec@5 67.969 (68.207)
Epoch: [74][640/7045]	Time 0.102 (0.248)	Data 0.001 (0.182)	Loss 2.5952 (2.5448)	Prec@1 38.672 (38.489)	Prec@5 69.531 (68.216)
Epoch: [74][650/7045]	Time 0.406 (0.248)	Data 0.353 (0.182)	Loss 2.7800 (2.5459)	Prec@1 34.766 (38.463)	Prec@5 64.062 (68.203)
Epoch: [74][660/7045]	Time 0.103 (0.247)	Data 0.005 (0.182)	Loss 2.5336 (2.5454)	Prec@1 37.109 (38.481)	Prec@5 67.188 (68.208)
Epoch: [74][670/7045]	Time 0.345 (0.247)	Data 0.291 (0.182)	Loss 2.5598 (2.5449)	Prec@1 35.938 (38.480)	Prec@5 65.625 (68.203)
Epoch: [74][680/7045]	Time 0.102 (0.247)	Data 0.005 (0.182)	Loss 2.5403 (2.5461)	Prec@1 35.547 (38.448)	Prec@5 69.141 (68.193)
Epoch: [74][690/7045]	Time 0.344 (0.247)	Data 0.292 (0.182)	Loss 2.5555 (2.5452)	Prec@1 41.797 (38.458)	Prec@5 71.094 (68.217)
Epoch: [74][700/7045]	Time 0.197 (0.247)	Data 0.144 (0.182)	Loss 2.5581 (2.5454)	Prec@1 37.500 (38.440)	Prec@5 68.750 (68.223)
Epoch: [74][710/7045]	Time 0.317 (0.247)	Data 0.264 (0.182)	Loss 2.5305 (2.5450)	Prec@1 37.500 (38.444)	Prec@5 65.234 (68.220)
Epoch: [74][720/7045]	Time 0.191 (0.247)	Data 0.138 (0.182)	Loss 2.5934 (2.5456)	Prec@1 40.625 (38.423)	Prec@5 67.188 (68.218)
Epoch: [74][730/7045]	Time 0.309 (0.247)	Data 0.257 (0.182)	Loss 2.5755 (2.5458)	Prec@1 39.062 (38.420)	Prec@5 67.188 (68.216)
Epoch: [74][740/7045]	Time 0.276 (0.247)	Data 0.217 (0.182)	Loss 2.6323 (2.5460)	Prec@1 39.844 (38.415)	Prec@5 65.234 (68.220)
Epoch: [74][750/7045]	Time 0.323 (0.246)	Data 0.270 (0.182)	Loss 2.4654 (2.5462)	Prec@1 40.234 (38.420)	Prec@5 70.312 (68.212)
Epoch: [74][760/7045]	Time 0.339 (0.246)	Data 0.288 (0.182)	Loss 2.4429 (2.5459)	Prec@1 40.625 (38.421)	Prec@5 71.094 (68.236)
Epoch: [74][770/7045]	Time 0.347 (0.246)	Data 0.295 (0.182)	Loss 2.5917 (2.5464)	Prec@1 38.281 (38.402)	Prec@5 67.578 (68.229)
Epoch: [74][780/7045]	Time 0.335 (0.246)	Data 0.278 (0.182)	Loss 2.4714 (2.5461)	Prec@1 38.281 (38.400)	Prec@5 71.094 (68.228)
Epoch: [74][790/7045]	Time 0.342 (0.246)	Data 0.290 (0.182)	Loss 2.4098 (2.5467)	Prec@1 38.281 (38.392)	Prec@5 70.703 (68.211)
Epoch: [74][800/7045]	Time 0.252 (0.246)	Data 0.193 (0.182)	Loss 2.3394 (2.5467)	Prec@1 41.797 (38.411)	Prec@5 71.484 (68.211)
Epoch: [74][810/7045]	Time 0.328 (0.246)	Data 0.276 (0.182)	Loss 2.6267 (2.5470)	Prec@1 38.672 (38.409)	Prec@5 64.453 (68.200)
Epoch: [74][820/7045]	Time 0.213 (0.246)	Data 0.161 (0.182)	Loss 2.7537 (2.5477)	Prec@1 35.938 (38.400)	Prec@5 64.844 (68.189)
Epoch: [74][830/7045]	Time 0.387 (0.245)	Data 0.335 (0.182)	Loss 2.5893 (2.5478)	Prec@1 34.766 (38.397)	Prec@5 66.797 (68.188)
Epoch: [74][840/7045]	Time 0.235 (0.245)	Data 0.183 (0.182)	Loss 2.6142 (2.5476)	Prec@1 38.672 (38.390)	Prec@5 66.406 (68.185)
Epoch: [74][850/7045]	Time 0.376 (0.245)	Data 0.324 (0.182)	Loss 2.6176 (2.5473)	Prec@1 37.500 (38.402)	Prec@5 69.922 (68.192)
Epoch: [74][860/7045]	Time 0.232 (0.245)	Data 0.181 (0.182)	Loss 2.5006 (2.5477)	Prec@1 38.672 (38.405)	Prec@5 70.703 (68.190)
Epoch: [74][870/7045]	Time 0.363 (0.245)	Data 0.311 (0.181)	Loss 2.4477 (2.5471)	Prec@1 41.797 (38.418)	Prec@5 73.047 (68.197)
Epoch: [74][880/7045]	Time 0.227 (0.245)	Data 0.176 (0.181)	Loss 2.5498 (2.5471)	Prec@1 37.500 (38.420)	Prec@5 66.406 (68.183)
Epoch: [74][890/7045]	Time 0.337 (0.245)	Data 0.285 (0.181)	Loss 2.5250 (2.5465)	Prec@1 39.453 (38.419)	Prec@5 69.141 (68.199)
Epoch: [74][900/7045]	Time 0.305 (0.245)	Data 0.253 (0.181)	Loss 2.6141 (2.5474)	Prec@1 37.109 (38.409)	Prec@5 66.406 (68.176)
Epoch: [74][910/7045]	Time 0.364 (0.245)	Data 0.312 (0.181)	Loss 2.5093 (2.5478)	Prec@1 33.203 (38.383)	Prec@5 69.922 (68.174)
Epoch: [74][920/7045]	Time 0.206 (0.245)	Data 0.154 (0.181)	Loss 2.6013 (2.5477)	Prec@1 36.328 (38.387)	Prec@5 64.453 (68.165)
Epoch: [74][930/7045]	Time 0.395 (0.245)	Data 0.343 (0.181)	Loss 2.5381 (2.5475)	Prec@1 34.766 (38.394)	Prec@5 67.578 (68.166)
Epoch: [74][940/7045]	Time 0.130 (0.244)	Data 0.070 (0.181)	Loss 2.4778 (2.5475)	Prec@1 37.109 (38.393)	Prec@5 71.094 (68.163)
Epoch: [74][950/7045]	Time 0.358 (0.244)	Data 0.305 (0.181)	Loss 2.5410 (2.5469)	Prec@1 33.984 (38.404)	Prec@5 68.359 (68.181)
Epoch: [74][960/7045]	Time 0.141 (0.244)	Data 0.082 (0.181)	Loss 2.3337 (2.5464)	Prec@1 44.141 (38.415)	Prec@5 69.531 (68.190)
Epoch: [74][970/7045]	Time 0.344 (0.244)	Data 0.293 (0.181)	Loss 2.3064 (2.5467)	Prec@1 41.797 (38.412)	Prec@5 73.047 (68.180)
Epoch: [74][980/7045]	Time 0.112 (0.244)	Data 0.053 (0.181)	Loss 2.4594 (2.5468)	Prec@1 38.672 (38.406)	Prec@5 69.141 (68.182)
Epoch: [74][990/7045]	Time 0.308 (0.244)	Data 0.256 (0.181)	Loss 2.4383 (2.5467)	Prec@1 37.891 (38.416)	Prec@5 71.484 (68.185)
Epoch: [74][1000/7045]	Time 0.169 (0.244)	Data 0.117 (0.181)	Loss 2.5348 (2.5474)	Prec@1 36.328 (38.417)	Prec@5 68.750 (68.172)
Epoch: [74][1010/7045]	Time 0.325 (0.244)	Data 0.274 (0.181)	Loss 2.4058 (2.5469)	Prec@1 42.578 (38.418)	Prec@5 70.312 (68.185)
Epoch: [74][1020/7045]	Time 0.145 (0.244)	Data 0.087 (0.181)	Loss 2.6871 (2.5475)	Prec@1 37.891 (38.408)	Prec@5 65.625 (68.170)
Epoch: [74][1030/7045]	Time 0.267 (0.244)	Data 0.216 (0.181)	Loss 2.2970 (2.5472)	Prec@1 42.969 (38.412)	Prec@5 72.266 (68.178)
Epoch: [74][1040/7045]	Time 0.112 (0.244)	Data 0.059 (0.181)	Loss 2.5628 (2.5474)	Prec@1 37.891 (38.405)	Prec@5 63.281 (68.170)
Epoch: [74][1050/7045]	Time 0.220 (0.244)	Data 0.167 (0.181)	Loss 2.7038 (2.5476)	Prec@1 34.766 (38.417)	Prec@5 66.016 (68.166)
Epoch: [74][1060/7045]	Time 0.382 (0.244)	Data 0.331 (0.181)	Loss 2.7410 (2.5474)	Prec@1 33.984 (38.412)	Prec@5 66.797 (68.173)
Epoch: [74][1070/7045]	Time 0.259 (0.244)	Data 0.207 (0.181)	Loss 2.7030 (2.5479)	Prec@1 36.328 (38.413)	Prec@5 64.453 (68.165)
Epoch: [74][1080/7045]	Time 0.225 (0.244)	Data 0.174 (0.181)	Loss 2.4442 (2.5481)	Prec@1 42.188 (38.400)	Prec@5 67.969 (68.155)
Epoch: [74][1090/7045]	Time 0.373 (0.244)	Data 0.320 (0.181)	Loss 2.6395 (2.5484)	Prec@1 38.672 (38.400)	Prec@5 69.141 (68.148)
Epoch: [74][1100/7045]	Time 0.145 (0.244)	Data 0.085 (0.181)	Loss 2.4990 (2.5483)	Prec@1 42.188 (38.393)	Prec@5 69.922 (68.159)
Epoch: [74][1110/7045]	Time 0.424 (0.244)	Data 0.371 (0.181)	Loss 2.5955 (2.5481)	Prec@1 35.938 (38.397)	Prec@5 63.672 (68.164)
Epoch: [74][1120/7045]	Time 0.108 (0.243)	Data 0.055 (0.181)	Loss 2.5363 (2.5476)	Prec@1 39.844 (38.412)	Prec@5 66.406 (68.170)
Epoch: [74][1130/7045]	Time 0.334 (0.243)	Data 0.282 (0.181)	Loss 2.5225 (2.5476)	Prec@1 36.328 (38.402)	Prec@5 71.094 (68.181)
Epoch: [74][1140/7045]	Time 0.110 (0.243)	Data 0.059 (0.181)	Loss 2.5888 (2.5481)	Prec@1 39.453 (38.395)	Prec@5 65.234 (68.172)
Epoch: [74][1150/7045]	Time 0.331 (0.243)	Data 0.279 (0.180)	Loss 2.5179 (2.5477)	Prec@1 40.625 (38.416)	Prec@5 69.531 (68.187)
Epoch: [74][1160/7045]	Time 0.102 (0.243)	Data 0.005 (0.180)	Loss 2.5324 (2.5475)	Prec@1 37.500 (38.419)	Prec@5 69.922 (68.195)
Epoch: [74][1170/7045]	Time 0.314 (0.243)	Data 0.263 (0.180)	Loss 2.7050 (2.5475)	Prec@1 32.031 (38.414)	Prec@5 64.844 (68.183)
Epoch: [74][1180/7045]	Time 0.101 (0.243)	Data 0.003 (0.180)	Loss 2.4868 (2.5477)	Prec@1 38.281 (38.411)	Prec@5 68.750 (68.176)
Epoch: [74][1190/7045]	Time 0.300 (0.243)	Data 0.248 (0.180)	Loss 2.7631 (2.5477)	Prec@1 37.109 (38.405)	Prec@5 62.891 (68.166)
Epoch: [74][1200/7045]	Time 0.101 (0.243)	Data 0.006 (0.180)	Loss 2.5345 (2.5476)	Prec@1 39.844 (38.408)	Prec@5 64.844 (68.163)
Epoch: [74][1210/7045]	Time 0.312 (0.243)	Data 0.261 (0.179)	Loss 2.4737 (2.5477)	Prec@1 40.234 (38.405)	Prec@5 71.875 (68.157)
Epoch: [74][1220/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 2.6533 (2.5477)	Prec@1 36.719 (38.393)	Prec@5 67.969 (68.160)
Epoch: [74][1230/7045]	Time 0.329 (0.243)	Data 0.277 (0.179)	Loss 2.5025 (2.5478)	Prec@1 35.938 (38.389)	Prec@5 71.875 (68.163)
Epoch: [74][1240/7045]	Time 0.103 (0.243)	Data 0.049 (0.179)	Loss 2.7656 (2.5484)	Prec@1 35.547 (38.383)	Prec@5 65.234 (68.155)
Epoch: [74][1250/7045]	Time 0.334 (0.243)	Data 0.281 (0.179)	Loss 2.4670 (2.5483)	Prec@1 36.719 (38.382)	Prec@5 67.578 (68.154)
Epoch: [74][1260/7045]	Time 0.108 (0.243)	Data 0.003 (0.179)	Loss 2.4471 (2.5488)	Prec@1 38.281 (38.381)	Prec@5 69.141 (68.139)
Epoch: [74][1270/7045]	Time 0.262 (0.243)	Data 0.210 (0.179)	Loss 2.6349 (2.5488)	Prec@1 39.453 (38.386)	Prec@5 65.234 (68.138)
Epoch: [74][1280/7045]	Time 0.108 (0.243)	Data 0.007 (0.179)	Loss 2.5409 (2.5490)	Prec@1 38.281 (38.387)	Prec@5 66.016 (68.131)
Epoch: [74][1290/7045]	Time 0.239 (0.243)	Data 0.187 (0.179)	Loss 2.5565 (2.5488)	Prec@1 33.594 (38.388)	Prec@5 69.141 (68.134)
Epoch: [74][1300/7045]	Time 0.135 (0.243)	Data 0.083 (0.179)	Loss 2.4855 (2.5488)	Prec@1 39.844 (38.393)	Prec@5 66.016 (68.124)
Epoch: [74][1310/7045]	Time 0.156 (0.243)	Data 0.104 (0.179)	Loss 2.7044 (2.5487)	Prec@1 32.031 (38.393)	Prec@5 68.359 (68.122)
Epoch: [74][1320/7045]	Time 0.196 (0.243)	Data 0.144 (0.179)	Loss 2.3756 (2.5487)	Prec@1 42.969 (38.394)	Prec@5 71.484 (68.117)
Epoch: [74][1330/7045]	Time 0.163 (0.242)	Data 0.109 (0.179)	Loss 2.5002 (2.5489)	Prec@1 41.406 (38.384)	Prec@5 69.531 (68.111)
Epoch: [74][1340/7045]	Time 0.113 (0.242)	Data 0.060 (0.179)	Loss 2.6070 (2.5486)	Prec@1 35.156 (38.391)	Prec@5 67.969 (68.120)
Epoch: [74][1350/7045]	Time 0.102 (0.242)	Data 0.002 (0.179)	Loss 2.8632 (2.5491)	Prec@1 34.375 (38.379)	Prec@5 63.672 (68.109)
Epoch: [74][1360/7045]	Time 0.188 (0.242)	Data 0.135 (0.179)	Loss 2.4041 (2.5491)	Prec@1 42.578 (38.374)	Prec@5 71.484 (68.111)
Epoch: [74][1370/7045]	Time 0.102 (0.242)	Data 0.004 (0.179)	Loss 2.6082 (2.5489)	Prec@1 35.938 (38.374)	Prec@5 68.359 (68.115)
Epoch: [74][1380/7045]	Time 0.160 (0.242)	Data 0.108 (0.179)	Loss 2.4777 (2.5487)	Prec@1 40.234 (38.377)	Prec@5 69.922 (68.121)
Epoch: [74][1390/7045]	Time 0.148 (0.242)	Data 0.097 (0.179)	Loss 2.4118 (2.5488)	Prec@1 39.844 (38.381)	Prec@5 70.312 (68.119)
Epoch: [74][1400/7045]	Time 0.334 (0.242)	Data 0.275 (0.179)	Loss 2.5995 (2.5487)	Prec@1 39.453 (38.381)	Prec@5 66.797 (68.129)
Epoch: [74][1410/7045]	Time 0.102 (0.242)	Data 0.044 (0.179)	Loss 2.6646 (2.5487)	Prec@1 38.281 (38.378)	Prec@5 65.625 (68.130)
Epoch: [74][1420/7045]	Time 0.313 (0.242)	Data 0.260 (0.179)	Loss 2.6286 (2.5486)	Prec@1 39.844 (38.379)	Prec@5 64.453 (68.129)
Epoch: [74][1430/7045]	Time 0.153 (0.242)	Data 0.100 (0.179)	Loss 2.5503 (2.5484)	Prec@1 39.062 (38.376)	Prec@5 68.359 (68.132)
Epoch: [74][1440/7045]	Time 0.318 (0.242)	Data 0.265 (0.179)	Loss 2.6153 (2.5481)	Prec@1 36.719 (38.387)	Prec@5 66.406 (68.140)
Epoch: [74][1450/7045]	Time 0.154 (0.242)	Data 0.102 (0.179)	Loss 2.5090 (2.5479)	Prec@1 37.891 (38.397)	Prec@5 68.359 (68.142)
Epoch: [74][1460/7045]	Time 0.322 (0.242)	Data 0.262 (0.179)	Loss 2.5613 (2.5480)	Prec@1 35.547 (38.389)	Prec@5 66.797 (68.137)
Epoch: [74][1470/7045]	Time 0.202 (0.242)	Data 0.152 (0.179)	Loss 2.4309 (2.5485)	Prec@1 39.062 (38.385)	Prec@5 70.312 (68.132)
Epoch: [74][1480/7045]	Time 0.261 (0.242)	Data 0.202 (0.179)	Loss 2.6083 (2.5489)	Prec@1 34.375 (38.381)	Prec@5 64.062 (68.123)
Epoch: [74][1490/7045]	Time 0.294 (0.242)	Data 0.242 (0.179)	Loss 2.4589 (2.5489)	Prec@1 45.703 (38.384)	Prec@5 67.969 (68.117)
Epoch: [74][1500/7045]	Time 0.243 (0.242)	Data 0.192 (0.179)	Loss 2.6924 (2.5492)	Prec@1 37.891 (38.374)	Prec@5 64.453 (68.107)
Epoch: [74][1510/7045]	Time 0.432 (0.242)	Data 0.381 (0.179)	Loss 2.6814 (2.5494)	Prec@1 34.766 (38.373)	Prec@5 66.406 (68.110)
Epoch: [74][1520/7045]	Time 0.112 (0.242)	Data 0.059 (0.179)	Loss 2.6940 (2.5499)	Prec@1 34.375 (38.364)	Prec@5 65.625 (68.098)
Epoch: [74][1530/7045]	Time 0.267 (0.242)	Data 0.216 (0.179)	Loss 2.5072 (2.5496)	Prec@1 39.844 (38.370)	Prec@5 71.484 (68.102)
Epoch: [74][1540/7045]	Time 0.101 (0.242)	Data 0.001 (0.179)	Loss 2.6971 (2.5501)	Prec@1 37.109 (38.357)	Prec@5 64.453 (68.096)
Epoch: [74][1550/7045]	Time 0.242 (0.242)	Data 0.189 (0.179)	Loss 2.6170 (2.5503)	Prec@1 37.891 (38.361)	Prec@5 65.625 (68.089)
Epoch: [74][1560/7045]	Time 0.100 (0.242)	Data 0.004 (0.179)	Loss 2.6223 (2.5504)	Prec@1 36.719 (38.357)	Prec@5 67.969 (68.088)
Epoch: [74][1570/7045]	Time 0.253 (0.242)	Data 0.201 (0.179)	Loss 2.5530 (2.5499)	Prec@1 41.016 (38.360)	Prec@5 68.359 (68.100)
Epoch: [74][1580/7045]	Time 0.102 (0.242)	Data 0.004 (0.179)	Loss 2.6079 (2.5500)	Prec@1 36.328 (38.363)	Prec@5 66.406 (68.099)
Epoch: [74][1590/7045]	Time 0.287 (0.242)	Data 0.235 (0.179)	Loss 2.6327 (2.5503)	Prec@1 37.500 (38.355)	Prec@5 65.625 (68.092)
Epoch: [74][1600/7045]	Time 0.431 (0.242)	Data 0.378 (0.179)	Loss 2.5176 (2.5502)	Prec@1 41.406 (38.355)	Prec@5 66.016 (68.093)
Epoch: [74][1610/7045]	Time 0.161 (0.242)	Data 0.108 (0.179)	Loss 2.7224 (2.5503)	Prec@1 34.375 (38.353)	Prec@5 66.016 (68.086)
Epoch: [74][1620/7045]	Time 0.306 (0.242)	Data 0.249 (0.179)	Loss 2.4127 (2.5501)	Prec@1 38.672 (38.358)	Prec@5 73.047 (68.091)
Epoch: [74][1630/7045]	Time 0.168 (0.242)	Data 0.116 (0.179)	Loss 2.5094 (2.5498)	Prec@1 38.672 (38.374)	Prec@5 69.141 (68.099)
Epoch: [74][1640/7045]	Time 0.330 (0.242)	Data 0.278 (0.179)	Loss 2.4554 (2.5500)	Prec@1 34.766 (38.361)	Prec@5 73.047 (68.094)
Epoch: [74][1650/7045]	Time 0.234 (0.242)	Data 0.181 (0.179)	Loss 2.5760 (2.5496)	Prec@1 35.547 (38.363)	Prec@5 70.312 (68.106)
Epoch: [74][1660/7045]	Time 0.313 (0.242)	Data 0.262 (0.179)	Loss 2.8560 (2.5494)	Prec@1 35.156 (38.367)	Prec@5 64.453 (68.115)
Epoch: [74][1670/7045]	Time 0.181 (0.242)	Data 0.129 (0.179)	Loss 2.4061 (2.5491)	Prec@1 41.406 (38.373)	Prec@5 69.141 (68.117)
Epoch: [74][1680/7045]	Time 0.269 (0.242)	Data 0.216 (0.179)	Loss 2.5921 (2.5492)	Prec@1 35.547 (38.370)	Prec@5 66.406 (68.116)
Epoch: [74][1690/7045]	Time 0.157 (0.241)	Data 0.106 (0.179)	Loss 2.3748 (2.5491)	Prec@1 40.625 (38.370)	Prec@5 70.703 (68.114)
Epoch: [74][1700/7045]	Time 0.297 (0.242)	Data 0.245 (0.179)	Loss 2.6318 (2.5489)	Prec@1 39.062 (38.374)	Prec@5 67.188 (68.116)
Epoch: [74][1710/7045]	Time 0.234 (0.241)	Data 0.182 (0.179)	Loss 2.7508 (2.5489)	Prec@1 35.547 (38.370)	Prec@5 64.844 (68.113)
Epoch: [74][1720/7045]	Time 0.255 (0.241)	Data 0.204 (0.179)	Loss 2.6175 (2.5494)	Prec@1 38.672 (38.365)	Prec@5 69.141 (68.100)
Epoch: [74][1730/7045]	Time 0.113 (0.241)	Data 0.061 (0.179)	Loss 2.6498 (2.5497)	Prec@1 32.422 (38.357)	Prec@5 66.406 (68.089)
Epoch: [74][1740/7045]	Time 0.259 (0.241)	Data 0.201 (0.179)	Loss 2.6207 (2.5499)	Prec@1 38.281 (38.354)	Prec@5 64.844 (68.087)
Epoch: [74][1750/7045]	Time 0.111 (0.241)	Data 0.058 (0.179)	Loss 2.5503 (2.5502)	Prec@1 43.359 (38.349)	Prec@5 63.672 (68.083)
Epoch: [74][1760/7045]	Time 0.304 (0.241)	Data 0.245 (0.179)	Loss 2.5622 (2.5502)	Prec@1 38.672 (38.346)	Prec@5 70.312 (68.085)
Epoch: [74][1770/7045]	Time 0.208 (0.241)	Data 0.157 (0.179)	Loss 2.3862 (2.5501)	Prec@1 42.188 (38.346)	Prec@5 71.094 (68.081)
Epoch: [74][1780/7045]	Time 0.294 (0.241)	Data 0.242 (0.179)	Loss 2.5014 (2.5501)	Prec@1 41.016 (38.343)	Prec@5 69.531 (68.083)
Epoch: [74][1790/7045]	Time 0.237 (0.241)	Data 0.186 (0.179)	Loss 2.3973 (2.5502)	Prec@1 37.891 (38.337)	Prec@5 73.438 (68.087)
Epoch: [74][1800/7045]	Time 0.307 (0.241)	Data 0.255 (0.179)	Loss 2.3691 (2.5500)	Prec@1 45.703 (38.347)	Prec@5 66.797 (68.092)
Epoch: [74][1810/7045]	Time 0.284 (0.241)	Data 0.225 (0.179)	Loss 2.6463 (2.5501)	Prec@1 35.547 (38.338)	Prec@5 66.016 (68.091)
Epoch: [74][1820/7045]	Time 0.452 (0.241)	Data 0.394 (0.179)	Loss 2.3795 (2.5502)	Prec@1 41.406 (38.334)	Prec@5 69.922 (68.088)
Epoch: [74][1830/7045]	Time 0.263 (0.241)	Data 0.211 (0.179)	Loss 2.4466 (2.5503)	Prec@1 42.578 (38.337)	Prec@5 68.750 (68.086)
Epoch: [74][1840/7045]	Time 0.275 (0.241)	Data 0.224 (0.179)	Loss 2.4369 (2.5503)	Prec@1 40.625 (38.332)	Prec@5 68.359 (68.086)
Epoch: [74][1850/7045]	Time 0.303 (0.241)	Data 0.245 (0.179)	Loss 2.5685 (2.5503)	Prec@1 37.109 (38.325)	Prec@5 69.922 (68.081)
Epoch: [74][1860/7045]	Time 0.374 (0.241)	Data 0.323 (0.179)	Loss 2.4535 (2.5502)	Prec@1 39.844 (38.328)	Prec@5 72.656 (68.081)
Epoch: [74][1870/7045]	Time 0.237 (0.241)	Data 0.185 (0.179)	Loss 2.5796 (2.5504)	Prec@1 40.625 (38.328)	Prec@5 67.188 (68.075)
Epoch: [74][1880/7045]	Time 0.383 (0.241)	Data 0.331 (0.179)	Loss 2.4752 (2.5507)	Prec@1 33.984 (38.319)	Prec@5 72.266 (68.069)
Epoch: [74][1890/7045]	Time 0.381 (0.241)	Data 0.328 (0.180)	Loss 2.3828 (2.5507)	Prec@1 38.281 (38.313)	Prec@5 71.875 (68.071)
Epoch: [74][1900/7045]	Time 0.287 (0.241)	Data 0.236 (0.179)	Loss 2.6612 (2.5508)	Prec@1 37.109 (38.312)	Prec@5 65.234 (68.066)
Epoch: [74][1910/7045]	Time 0.237 (0.241)	Data 0.185 (0.179)	Loss 2.7597 (2.5508)	Prec@1 37.891 (38.318)	Prec@5 61.328 (68.069)
Epoch: [74][1920/7045]	Time 0.422 (0.241)	Data 0.370 (0.179)	Loss 2.6558 (2.5508)	Prec@1 34.766 (38.317)	Prec@5 65.234 (68.068)
Epoch: [74][1930/7045]	Time 0.256 (0.241)	Data 0.197 (0.179)	Loss 2.2714 (2.5509)	Prec@1 43.359 (38.320)	Prec@5 72.266 (68.067)
Epoch: [74][1940/7045]	Time 0.443 (0.241)	Data 0.391 (0.179)	Loss 2.3435 (2.5510)	Prec@1 39.062 (38.318)	Prec@5 71.875 (68.064)
Epoch: [74][1950/7045]	Time 0.204 (0.241)	Data 0.152 (0.179)	Loss 2.3552 (2.5508)	Prec@1 36.719 (38.319)	Prec@5 74.609 (68.070)
Epoch: [74][1960/7045]	Time 0.353 (0.241)	Data 0.301 (0.179)	Loss 2.6390 (2.5510)	Prec@1 39.844 (38.321)	Prec@5 64.453 (68.066)
Epoch: [74][1970/7045]	Time 0.161 (0.241)	Data 0.109 (0.179)	Loss 2.7216 (2.5511)	Prec@1 35.547 (38.322)	Prec@5 64.062 (68.068)
Epoch: [74][1980/7045]	Time 0.547 (0.241)	Data 0.495 (0.180)	Loss 2.6246 (2.5511)	Prec@1 36.328 (38.322)	Prec@5 69.141 (68.068)
Epoch: [74][1990/7045]	Time 0.113 (0.241)	Data 0.061 (0.179)	Loss 2.4496 (2.5510)	Prec@1 43.750 (38.327)	Prec@5 68.750 (68.071)
Epoch: [74][2000/7045]	Time 0.525 (0.241)	Data 0.473 (0.179)	Loss 2.5678 (2.5512)	Prec@1 40.625 (38.323)	Prec@5 68.359 (68.066)
Epoch: [74][2010/7045]	Time 0.110 (0.241)	Data 0.058 (0.179)	Loss 2.7213 (2.5512)	Prec@1 37.109 (38.327)	Prec@5 66.406 (68.065)
Epoch: [74][2020/7045]	Time 0.432 (0.241)	Data 0.380 (0.179)	Loss 2.5592 (2.5513)	Prec@1 37.109 (38.323)	Prec@5 69.141 (68.064)
Epoch: [74][2030/7045]	Time 0.102 (0.241)	Data 0.001 (0.179)	Loss 2.5466 (2.5513)	Prec@1 39.844 (38.324)	Prec@5 66.797 (68.064)
Epoch: [74][2040/7045]	Time 0.359 (0.241)	Data 0.307 (0.179)	Loss 2.6108 (2.5513)	Prec@1 35.547 (38.321)	Prec@5 67.188 (68.066)
Epoch: [74][2050/7045]	Time 0.113 (0.241)	Data 0.060 (0.179)	Loss 2.7257 (2.5515)	Prec@1 36.328 (38.320)	Prec@5 62.500 (68.058)
Epoch: [74][2060/7045]	Time 0.344 (0.241)	Data 0.292 (0.179)	Loss 2.7951 (2.5513)	Prec@1 32.422 (38.326)	Prec@5 64.453 (68.057)
Epoch: [74][2070/7045]	Time 0.102 (0.241)	Data 0.001 (0.179)	Loss 2.6027 (2.5517)	Prec@1 37.891 (38.320)	Prec@5 64.062 (68.051)
Epoch: [74][2080/7045]	Time 0.289 (0.241)	Data 0.237 (0.179)	Loss 2.5118 (2.5518)	Prec@1 35.156 (38.314)	Prec@5 68.750 (68.050)
Epoch: [74][2090/7045]	Time 0.109 (0.241)	Data 0.056 (0.179)	Loss 2.8713 (2.5521)	Prec@1 29.688 (38.312)	Prec@5 61.719 (68.040)
Epoch: [74][2100/7045]	Time 0.174 (0.241)	Data 0.115 (0.179)	Loss 2.5436 (2.5520)	Prec@1 41.797 (38.308)	Prec@5 69.141 (68.040)
Epoch: [74][2110/7045]	Time 0.112 (0.241)	Data 0.060 (0.179)	Loss 2.5269 (2.5520)	Prec@1 37.500 (38.310)	Prec@5 69.141 (68.050)
Epoch: [74][2120/7045]	Time 0.112 (0.241)	Data 0.059 (0.179)	Loss 2.4845 (2.5523)	Prec@1 39.844 (38.307)	Prec@5 69.531 (68.045)
Epoch: [74][2130/7045]	Time 0.102 (0.241)	Data 0.001 (0.179)	Loss 2.8329 (2.5523)	Prec@1 33.203 (38.306)	Prec@5 60.547 (68.042)
Epoch: [74][2140/7045]	Time 0.113 (0.241)	Data 0.060 (0.179)	Loss 2.5597 (2.5522)	Prec@1 35.547 (38.306)	Prec@5 69.922 (68.043)
Epoch: [74][2150/7045]	Time 0.102 (0.241)	Data 0.001 (0.178)	Loss 2.6532 (2.5521)	Prec@1 33.594 (38.307)	Prec@5 67.188 (68.047)
Epoch: [74][2160/7045]	Time 0.108 (0.241)	Data 0.001 (0.178)	Loss 2.5162 (2.5522)	Prec@1 37.891 (38.301)	Prec@5 67.578 (68.042)
Epoch: [74][2170/7045]	Time 0.102 (0.241)	Data 0.001 (0.178)	Loss 2.5959 (2.5521)	Prec@1 37.500 (38.299)	Prec@5 65.234 (68.046)
Epoch: [74][2180/7045]	Time 0.109 (0.241)	Data 0.008 (0.178)	Loss 2.3965 (2.5517)	Prec@1 41.406 (38.304)	Prec@5 72.656 (68.058)
Epoch: [74][2190/7045]	Time 0.102 (0.241)	Data 0.002 (0.178)	Loss 2.5938 (2.5520)	Prec@1 40.234 (38.302)	Prec@5 69.922 (68.054)
Epoch: [74][2200/7045]	Time 0.107 (0.241)	Data 0.006 (0.178)	Loss 2.5285 (2.5521)	Prec@1 40.625 (38.301)	Prec@5 69.531 (68.056)
Epoch: [74][2210/7045]	Time 0.103 (0.241)	Data 0.005 (0.178)	Loss 2.4561 (2.5514)	Prec@1 39.062 (38.305)	Prec@5 72.656 (68.076)
Epoch: [74][2220/7045]	Time 0.109 (0.241)	Data 0.006 (0.178)	Loss 2.7923 (2.5513)	Prec@1 34.766 (38.308)	Prec@5 62.500 (68.078)
Epoch: [74][2230/7045]	Time 0.102 (0.241)	Data 0.001 (0.178)	Loss 2.2896 (2.5513)	Prec@1 42.578 (38.308)	Prec@5 72.656 (68.082)
Epoch: [74][2240/7045]	Time 0.109 (0.241)	Data 0.007 (0.178)	Loss 2.4394 (2.5513)	Prec@1 42.188 (38.307)	Prec@5 68.359 (68.084)
Epoch: [74][2250/7045]	Time 0.102 (0.241)	Data 0.001 (0.178)	Loss 2.7815 (2.5515)	Prec@1 36.719 (38.303)	Prec@5 64.062 (68.079)
Epoch: [74][2260/7045]	Time 0.108 (0.241)	Data 0.056 (0.178)	Loss 2.5149 (2.5514)	Prec@1 39.844 (38.306)	Prec@5 67.969 (68.076)
Epoch: [74][2270/7045]	Time 0.102 (0.241)	Data 0.001 (0.177)	Loss 2.5208 (2.5513)	Prec@1 39.062 (38.303)	Prec@5 70.703 (68.081)
Epoch: [74][2280/7045]	Time 0.109 (0.241)	Data 0.005 (0.177)	Loss 2.4204 (2.5511)	Prec@1 37.109 (38.306)	Prec@5 72.656 (68.084)
Epoch: [74][2290/7045]	Time 0.102 (0.241)	Data 0.001 (0.177)	Loss 2.4051 (2.5512)	Prec@1 41.406 (38.304)	Prec@5 70.312 (68.080)
Epoch: [74][2300/7045]	Time 0.100 (0.241)	Data 0.001 (0.177)	Loss 2.7800 (2.5508)	Prec@1 36.328 (38.316)	Prec@5 64.453 (68.091)
Epoch: [74][2310/7045]	Time 0.189 (0.241)	Data 0.137 (0.177)	Loss 2.6371 (2.5509)	Prec@1 37.891 (38.318)	Prec@5 66.016 (68.092)
Epoch: [74][2320/7045]	Time 0.102 (0.241)	Data 0.003 (0.177)	Loss 2.6550 (2.5510)	Prec@1 37.109 (38.314)	Prec@5 66.016 (68.089)
Epoch: [74][2330/7045]	Time 0.432 (0.241)	Data 0.379 (0.177)	Loss 2.6374 (2.5513)	Prec@1 37.109 (38.306)	Prec@5 66.406 (68.086)
Epoch: [74][2340/7045]	Time 0.102 (0.241)	Data 0.002 (0.177)	Loss 2.6957 (2.5511)	Prec@1 32.812 (38.306)	Prec@5 65.625 (68.089)
Epoch: [74][2350/7045]	Time 0.490 (0.241)	Data 0.438 (0.177)	Loss 2.5495 (2.5511)	Prec@1 38.281 (38.303)	Prec@5 70.703 (68.084)
Epoch: [74][2360/7045]	Time 0.102 (0.241)	Data 0.006 (0.177)	Loss 2.6049 (2.5511)	Prec@1 37.500 (38.304)	Prec@5 68.750 (68.082)
Epoch: [74][2370/7045]	Time 0.532 (0.241)	Data 0.479 (0.177)	Loss 2.5534 (2.5510)	Prec@1 35.547 (38.303)	Prec@5 69.531 (68.088)
Epoch: [74][2380/7045]	Time 0.102 (0.241)	Data 0.006 (0.177)	Loss 2.6476 (2.5511)	Prec@1 36.719 (38.300)	Prec@5 67.188 (68.087)
Epoch: [74][2390/7045]	Time 0.613 (0.241)	Data 0.562 (0.177)	Loss 2.4620 (2.5513)	Prec@1 39.844 (38.298)	Prec@5 74.219 (68.085)
Epoch: [74][2400/7045]	Time 0.110 (0.241)	Data 0.001 (0.177)	Loss 2.2881 (2.5511)	Prec@1 43.750 (38.300)	Prec@5 70.703 (68.087)
Epoch: [74][2410/7045]	Time 0.599 (0.241)	Data 0.546 (0.177)	Loss 2.6645 (2.5512)	Prec@1 35.938 (38.301)	Prec@5 63.281 (68.087)
Epoch: [74][2420/7045]	Time 0.108 (0.241)	Data 0.006 (0.177)	Loss 2.6040 (2.5510)	Prec@1 34.766 (38.303)	Prec@5 65.625 (68.090)
Epoch: [74][2430/7045]	Time 0.627 (0.241)	Data 0.575 (0.177)	Loss 2.7972 (2.5509)	Prec@1 32.812 (38.304)	Prec@5 65.234 (68.095)
Epoch: [74][2440/7045]	Time 0.109 (0.241)	Data 0.001 (0.176)	Loss 2.6250 (2.5510)	Prec@1 40.234 (38.305)	Prec@5 66.016 (68.095)
Epoch: [74][2450/7045]	Time 0.700 (0.241)	Data 0.648 (0.177)	Loss 2.6346 (2.5512)	Prec@1 36.719 (38.304)	Prec@5 63.672 (68.089)
Epoch: [74][2460/7045]	Time 0.109 (0.240)	Data 0.006 (0.176)	Loss 2.7053 (2.5513)	Prec@1 34.766 (38.301)	Prec@5 67.578 (68.091)
Epoch: [74][2470/7045]	Time 0.624 (0.241)	Data 0.571 (0.176)	Loss 2.7245 (2.5512)	Prec@1 35.547 (38.309)	Prec@5 66.797 (68.096)
Epoch: [74][2480/7045]	Time 0.110 (0.240)	Data 0.002 (0.176)	Loss 2.2426 (2.5510)	Prec@1 45.312 (38.315)	Prec@5 78.516 (68.102)
Epoch: [74][2490/7045]	Time 0.612 (0.241)	Data 0.560 (0.176)	Loss 2.5774 (2.5510)	Prec@1 41.016 (38.317)	Prec@5 66.797 (68.101)
Epoch: [74][2500/7045]	Time 0.108 (0.240)	Data 0.004 (0.176)	Loss 2.4257 (2.5509)	Prec@1 43.359 (38.323)	Prec@5 72.656 (68.105)
Epoch: [74][2510/7045]	Time 0.632 (0.241)	Data 0.573 (0.176)	Loss 2.5683 (2.5512)	Prec@1 33.984 (38.319)	Prec@5 71.484 (68.099)
Epoch: [74][2520/7045]	Time 0.101 (0.240)	Data 0.001 (0.176)	Loss 2.4287 (2.5510)	Prec@1 40.234 (38.322)	Prec@5 73.438 (68.103)
Epoch: [74][2530/7045]	Time 0.567 (0.241)	Data 0.514 (0.176)	Loss 2.4100 (2.5510)	Prec@1 41.016 (38.323)	Prec@5 68.359 (68.102)
Epoch: [74][2540/7045]	Time 0.102 (0.240)	Data 0.001 (0.176)	Loss 2.5301 (2.5508)	Prec@1 40.625 (38.330)	Prec@5 70.703 (68.107)
Epoch: [74][2550/7045]	Time 0.553 (0.241)	Data 0.501 (0.176)	Loss 2.6526 (2.5509)	Prec@1 37.891 (38.329)	Prec@5 71.875 (68.107)
Epoch: [74][2560/7045]	Time 0.102 (0.240)	Data 0.001 (0.176)	Loss 2.3297 (2.5510)	Prec@1 38.281 (38.323)	Prec@5 74.219 (68.106)
Epoch: [74][2570/7045]	Time 0.532 (0.240)	Data 0.481 (0.176)	Loss 2.4468 (2.5509)	Prec@1 39.062 (38.321)	Prec@5 69.922 (68.105)
Epoch: [74][2580/7045]	Time 0.103 (0.240)	Data 0.001 (0.176)	Loss 2.7090 (2.5508)	Prec@1 35.938 (38.322)	Prec@5 67.188 (68.108)
Epoch: [74][2590/7045]	Time 0.490 (0.240)	Data 0.438 (0.176)	Loss 2.6720 (2.5507)	Prec@1 37.109 (38.323)	Prec@5 64.453 (68.109)
Epoch: [74][2600/7045]	Time 0.102 (0.240)	Data 0.001 (0.176)	Loss 2.5662 (2.5507)	Prec@1 40.234 (38.321)	Prec@5 66.406 (68.109)
Epoch: [74][2610/7045]	Time 0.510 (0.240)	Data 0.450 (0.176)	Loss 2.6005 (2.5507)	Prec@1 39.453 (38.326)	Prec@5 68.750 (68.111)
Epoch: [74][2620/7045]	Time 0.102 (0.240)	Data 0.007 (0.176)	Loss 2.4285 (2.5506)	Prec@1 37.500 (38.327)	Prec@5 68.359 (68.108)
Epoch: [74][2630/7045]	Time 0.525 (0.240)	Data 0.464 (0.176)	Loss 2.4828 (2.5505)	Prec@1 38.281 (38.330)	Prec@5 66.016 (68.106)
Epoch: [74][2640/7045]	Time 0.108 (0.240)	Data 0.055 (0.176)	Loss 2.6412 (2.5507)	Prec@1 34.375 (38.331)	Prec@5 65.234 (68.100)
Epoch: [74][2650/7045]	Time 0.464 (0.240)	Data 0.412 (0.176)	Loss 2.5236 (2.5509)	Prec@1 40.625 (38.330)	Prec@5 69.922 (68.098)
Epoch: [74][2660/7045]	Time 0.114 (0.240)	Data 0.054 (0.176)	Loss 2.8969 (2.5511)	Prec@1 33.203 (38.327)	Prec@5 60.938 (68.094)
Epoch: [74][2670/7045]	Time 0.472 (0.240)	Data 0.419 (0.176)	Loss 2.5017 (2.5513)	Prec@1 41.797 (38.325)	Prec@5 68.359 (68.091)
Epoch: [74][2680/7045]	Time 0.176 (0.240)	Data 0.125 (0.176)	Loss 2.6497 (2.5515)	Prec@1 38.672 (38.323)	Prec@5 67.188 (68.087)
Epoch: [74][2690/7045]	Time 0.332 (0.240)	Data 0.279 (0.176)	Loss 2.5964 (2.5515)	Prec@1 38.281 (38.323)	Prec@5 64.453 (68.088)
Epoch: [74][2700/7045]	Time 0.111 (0.240)	Data 0.001 (0.176)	Loss 2.7150 (2.5516)	Prec@1 36.328 (38.321)	Prec@5 68.359 (68.084)
Epoch: [74][2710/7045]	Time 0.518 (0.240)	Data 0.465 (0.176)	Loss 2.6829 (2.5517)	Prec@1 34.766 (38.319)	Prec@5 66.797 (68.084)
Epoch: [74][2720/7045]	Time 0.102 (0.240)	Data 0.001 (0.176)	Loss 2.6583 (2.5519)	Prec@1 39.062 (38.317)	Prec@5 66.406 (68.080)
Epoch: [74][2730/7045]	Time 0.459 (0.240)	Data 0.407 (0.176)	Loss 2.3775 (2.5519)	Prec@1 41.406 (38.317)	Prec@5 73.438 (68.076)
Epoch: [74][2740/7045]	Time 0.201 (0.240)	Data 0.150 (0.176)	Loss 2.7340 (2.5517)	Prec@1 32.422 (38.321)	Prec@5 64.453 (68.078)
Epoch: [74][2750/7045]	Time 0.463 (0.240)	Data 0.411 (0.176)	Loss 2.6182 (2.5519)	Prec@1 40.234 (38.318)	Prec@5 62.891 (68.071)
Epoch: [74][2760/7045]	Time 0.247 (0.240)	Data 0.194 (0.176)	Loss 2.4940 (2.5519)	Prec@1 37.500 (38.314)	Prec@5 67.578 (68.069)
Epoch: [74][2770/7045]	Time 0.440 (0.240)	Data 0.382 (0.176)	Loss 2.7112 (2.5520)	Prec@1 36.719 (38.312)	Prec@5 64.844 (68.062)
Epoch: [74][2780/7045]	Time 0.315 (0.240)	Data 0.263 (0.176)	Loss 2.6103 (2.5522)	Prec@1 38.281 (38.308)	Prec@5 68.359 (68.060)
Epoch: [74][2790/7045]	Time 0.418 (0.240)	Data 0.359 (0.176)	Loss 2.7584 (2.5523)	Prec@1 33.203 (38.310)	Prec@5 64.453 (68.059)
Epoch: [74][2800/7045]	Time 0.371 (0.240)	Data 0.319 (0.176)	Loss 2.6358 (2.5524)	Prec@1 33.594 (38.311)	Prec@5 67.969 (68.058)
Epoch: [74][2810/7045]	Time 0.438 (0.240)	Data 0.387 (0.176)	Loss 2.7238 (2.5526)	Prec@1 33.203 (38.306)	Prec@5 66.406 (68.055)
Epoch: [74][2820/7045]	Time 0.336 (0.240)	Data 0.283 (0.176)	Loss 2.6962 (2.5526)	Prec@1 34.766 (38.306)	Prec@5 68.750 (68.057)
Epoch: [74][2830/7045]	Time 0.322 (0.240)	Data 0.271 (0.176)	Loss 2.6485 (2.5527)	Prec@1 38.672 (38.306)	Prec@5 67.578 (68.058)
Epoch: [74][2840/7045]	Time 0.475 (0.240)	Data 0.424 (0.176)	Loss 2.3820 (2.5530)	Prec@1 41.797 (38.303)	Prec@5 70.703 (68.051)
Epoch: [74][2850/7045]	Time 0.177 (0.240)	Data 0.124 (0.176)	Loss 2.6042 (2.5530)	Prec@1 36.328 (38.302)	Prec@5 66.406 (68.051)
Epoch: [74][2860/7045]	Time 0.600 (0.240)	Data 0.549 (0.176)	Loss 2.6718 (2.5530)	Prec@1 39.453 (38.303)	Prec@5 64.453 (68.050)
Epoch: [74][2870/7045]	Time 0.107 (0.240)	Data 0.055 (0.176)	Loss 2.6693 (2.5531)	Prec@1 32.812 (38.300)	Prec@5 67.969 (68.049)
Epoch: [74][2880/7045]	Time 0.546 (0.240)	Data 0.495 (0.176)	Loss 2.7240 (2.5534)	Prec@1 33.984 (38.294)	Prec@5 67.578 (68.048)
Epoch: [74][2890/7045]	Time 0.107 (0.240)	Data 0.003 (0.176)	Loss 2.4961 (2.5533)	Prec@1 39.453 (38.294)	Prec@5 68.359 (68.045)
Epoch: [74][2900/7045]	Time 0.395 (0.240)	Data 0.345 (0.176)	Loss 2.4207 (2.5533)	Prec@1 36.719 (38.291)	Prec@5 70.703 (68.048)
Epoch: [74][2910/7045]	Time 0.109 (0.240)	Data 0.001 (0.176)	Loss 2.5145 (2.5534)	Prec@1 38.672 (38.294)	Prec@5 71.094 (68.047)
Epoch: [74][2920/7045]	Time 0.371 (0.240)	Data 0.319 (0.176)	Loss 2.4143 (2.5532)	Prec@1 46.094 (38.298)	Prec@5 70.703 (68.050)
Epoch: [74][2930/7045]	Time 0.118 (0.240)	Data 0.058 (0.176)	Loss 2.6215 (2.5532)	Prec@1 33.203 (38.295)	Prec@5 73.438 (68.050)
Epoch: [74][2940/7045]	Time 0.253 (0.240)	Data 0.200 (0.176)	Loss 2.5951 (2.5535)	Prec@1 36.719 (38.288)	Prec@5 66.797 (68.046)
Epoch: [74][2950/7045]	Time 0.219 (0.240)	Data 0.159 (0.176)	Loss 2.7224 (2.5535)	Prec@1 33.984 (38.285)	Prec@5 67.188 (68.048)
Epoch: [74][2960/7045]	Time 0.341 (0.240)	Data 0.289 (0.176)	Loss 2.6091 (2.5534)	Prec@1 38.672 (38.289)	Prec@5 68.359 (68.050)
Epoch: [74][2970/7045]	Time 0.156 (0.240)	Data 0.104 (0.176)	Loss 2.5707 (2.5533)	Prec@1 38.672 (38.294)	Prec@5 65.234 (68.049)
Epoch: [74][2980/7045]	Time 0.345 (0.240)	Data 0.293 (0.176)	Loss 2.8292 (2.5533)	Prec@1 35.547 (38.288)	Prec@5 61.719 (68.047)
Epoch: [74][2990/7045]	Time 0.140 (0.240)	Data 0.081 (0.176)	Loss 2.7207 (2.5533)	Prec@1 33.984 (38.288)	Prec@5 64.844 (68.046)
Epoch: [74][3000/7045]	Time 0.382 (0.240)	Data 0.329 (0.176)	Loss 2.5704 (2.5535)	Prec@1 37.109 (38.284)	Prec@5 68.359 (68.042)
Epoch: [74][3010/7045]	Time 0.240 (0.240)	Data 0.189 (0.176)	Loss 2.6839 (2.5538)	Prec@1 37.891 (38.273)	Prec@5 65.625 (68.036)
Epoch: [74][3020/7045]	Time 0.386 (0.240)	Data 0.334 (0.176)	Loss 2.6048 (2.5538)	Prec@1 38.281 (38.270)	Prec@5 66.797 (68.035)
Epoch: [74][3030/7045]	Time 0.216 (0.240)	Data 0.165 (0.176)	Loss 2.5060 (2.5537)	Prec@1 37.109 (38.273)	Prec@5 65.625 (68.034)
Epoch: [74][3040/7045]	Time 0.384 (0.240)	Data 0.326 (0.176)	Loss 2.6813 (2.5537)	Prec@1 33.594 (38.269)	Prec@5 66.406 (68.032)
Epoch: [74][3050/7045]	Time 0.211 (0.240)	Data 0.160 (0.176)	Loss 2.5721 (2.5537)	Prec@1 41.797 (38.267)	Prec@5 69.141 (68.031)
Epoch: [74][3060/7045]	Time 0.300 (0.240)	Data 0.242 (0.176)	Loss 2.4498 (2.5537)	Prec@1 39.453 (38.267)	Prec@5 69.922 (68.032)
Epoch: [74][3070/7045]	Time 0.300 (0.240)	Data 0.249 (0.176)	Loss 2.6236 (2.5540)	Prec@1 37.891 (38.260)	Prec@5 69.141 (68.030)
Epoch: [74][3080/7045]	Time 0.272 (0.240)	Data 0.212 (0.176)	Loss 2.7627 (2.5541)	Prec@1 33.594 (38.257)	Prec@5 62.891 (68.025)
Epoch: [74][3090/7045]	Time 0.321 (0.240)	Data 0.270 (0.176)	Loss 2.5279 (2.5542)	Prec@1 38.672 (38.255)	Prec@5 68.750 (68.025)
Epoch: [74][3100/7045]	Time 0.339 (0.240)	Data 0.288 (0.176)	Loss 2.7678 (2.5542)	Prec@1 35.938 (38.258)	Prec@5 63.672 (68.020)
Epoch: [74][3110/7045]	Time 0.279 (0.240)	Data 0.227 (0.176)	Loss 2.5836 (2.5543)	Prec@1 35.547 (38.258)	Prec@5 68.359 (68.019)
Epoch: [74][3120/7045]	Time 0.348 (0.240)	Data 0.297 (0.176)	Loss 2.2666 (2.5541)	Prec@1 45.703 (38.261)	Prec@5 73.047 (68.018)
Epoch: [74][3130/7045]	Time 0.241 (0.240)	Data 0.188 (0.176)	Loss 2.6505 (2.5542)	Prec@1 37.109 (38.261)	Prec@5 66.406 (68.014)
Epoch: [74][3140/7045]	Time 0.238 (0.240)	Data 0.186 (0.176)	Loss 2.6785 (2.5541)	Prec@1 33.594 (38.259)	Prec@5 65.625 (68.016)
Epoch: [74][3150/7045]	Time 0.244 (0.240)	Data 0.192 (0.176)	Loss 2.5891 (2.5541)	Prec@1 34.375 (38.257)	Prec@5 67.188 (68.014)
Epoch: [74][3160/7045]	Time 0.301 (0.240)	Data 0.249 (0.176)	Loss 2.3950 (2.5539)	Prec@1 38.281 (38.263)	Prec@5 76.172 (68.021)
Epoch: [74][3170/7045]	Time 0.296 (0.240)	Data 0.244 (0.176)	Loss 2.5209 (2.5539)	Prec@1 39.453 (38.263)	Prec@5 68.359 (68.023)
Epoch: [74][3180/7045]	Time 0.245 (0.240)	Data 0.193 (0.176)	Loss 2.5414 (2.5540)	Prec@1 40.234 (38.264)	Prec@5 67.969 (68.022)
Epoch: [74][3190/7045]	Time 0.272 (0.240)	Data 0.221 (0.176)	Loss 2.7796 (2.5541)	Prec@1 35.938 (38.263)	Prec@5 62.500 (68.019)
Epoch: [74][3200/7045]	Time 0.303 (0.240)	Data 0.251 (0.176)	Loss 2.7769 (2.5543)	Prec@1 35.938 (38.261)	Prec@5 64.844 (68.015)
Epoch: [74][3210/7045]	Time 0.222 (0.240)	Data 0.170 (0.176)	Loss 2.6145 (2.5545)	Prec@1 35.938 (38.258)	Prec@5 70.312 (68.013)
Epoch: [74][3220/7045]	Time 0.296 (0.240)	Data 0.244 (0.176)	Loss 2.6061 (2.5543)	Prec@1 35.156 (38.264)	Prec@5 67.578 (68.017)
Epoch: [74][3230/7045]	Time 0.228 (0.240)	Data 0.176 (0.176)	Loss 2.6321 (2.5543)	Prec@1 34.766 (38.262)	Prec@5 67.969 (68.020)
Epoch: [74][3240/7045]	Time 0.337 (0.240)	Data 0.285 (0.176)	Loss 2.3140 (2.5541)	Prec@1 42.188 (38.264)	Prec@5 72.656 (68.021)
Epoch: [74][3250/7045]	Time 0.263 (0.240)	Data 0.211 (0.176)	Loss 2.7351 (2.5545)	Prec@1 33.594 (38.257)	Prec@5 68.750 (68.016)
Epoch: [74][3260/7045]	Time 0.271 (0.240)	Data 0.220 (0.176)	Loss 2.6914 (2.5544)	Prec@1 39.062 (38.258)	Prec@5 65.625 (68.017)
Epoch: [74][3270/7045]	Time 0.233 (0.240)	Data 0.182 (0.176)	Loss 2.5392 (2.5545)	Prec@1 37.891 (38.259)	Prec@5 71.875 (68.017)
Epoch: [74][3280/7045]	Time 0.292 (0.240)	Data 0.240 (0.176)	Loss 2.5991 (2.5547)	Prec@1 35.938 (38.254)	Prec@5 66.016 (68.013)
Epoch: [74][3290/7045]	Time 0.312 (0.240)	Data 0.261 (0.176)	Loss 2.5103 (2.5548)	Prec@1 42.578 (38.253)	Prec@5 68.359 (68.011)
Epoch: [74][3300/7045]	Time 0.173 (0.240)	Data 0.115 (0.176)	Loss 2.6285 (2.5547)	Prec@1 35.547 (38.256)	Prec@5 66.797 (68.013)
Epoch: [74][3310/7045]	Time 0.348 (0.240)	Data 0.297 (0.176)	Loss 2.4415 (2.5550)	Prec@1 38.281 (38.253)	Prec@5 70.312 (68.009)
Epoch: [74][3320/7045]	Time 0.112 (0.240)	Data 0.059 (0.176)	Loss 2.6202 (2.5552)	Prec@1 35.938 (38.249)	Prec@5 66.797 (68.007)
Epoch: [74][3330/7045]	Time 0.438 (0.240)	Data 0.386 (0.176)	Loss 2.4561 (2.5551)	Prec@1 37.500 (38.251)	Prec@5 69.141 (68.009)
Epoch: [74][3340/7045]	Time 0.110 (0.240)	Data 0.058 (0.176)	Loss 2.8574 (2.5550)	Prec@1 32.031 (38.252)	Prec@5 62.891 (68.010)
Epoch: [74][3350/7045]	Time 0.375 (0.240)	Data 0.324 (0.176)	Loss 2.5255 (2.5550)	Prec@1 34.766 (38.252)	Prec@5 70.703 (68.009)
Epoch: [74][3360/7045]	Time 0.102 (0.240)	Data 0.026 (0.176)	Loss 2.5625 (2.5550)	Prec@1 37.891 (38.251)	Prec@5 67.188 (68.011)
Epoch: [74][3370/7045]	Time 0.158 (0.240)	Data 0.105 (0.176)	Loss 2.6462 (2.5552)	Prec@1 39.844 (38.246)	Prec@5 66.406 (68.010)
Epoch: [74][3380/7045]	Time 0.102 (0.240)	Data 0.046 (0.176)	Loss 2.5064 (2.5552)	Prec@1 38.672 (38.245)	Prec@5 68.359 (68.009)
Epoch: [74][3390/7045]	Time 0.126 (0.240)	Data 0.072 (0.176)	Loss 2.5980 (2.5552)	Prec@1 35.156 (38.242)	Prec@5 69.141 (68.009)
Epoch: [74][3400/7045]	Time 0.107 (0.240)	Data 0.053 (0.176)	Loss 2.4943 (2.5551)	Prec@1 40.234 (38.248)	Prec@5 68.750 (68.011)
Epoch: [74][3410/7045]	Time 0.109 (0.240)	Data 0.056 (0.176)	Loss 2.7399 (2.5551)	Prec@1 37.891 (38.247)	Prec@5 64.844 (68.009)
Epoch: [74][3420/7045]	Time 0.107 (0.240)	Data 0.054 (0.176)	Loss 2.5697 (2.5550)	Prec@1 38.281 (38.250)	Prec@5 67.578 (68.011)
Epoch: [74][3430/7045]	Time 0.185 (0.240)	Data 0.133 (0.176)	Loss 2.5045 (2.5550)	Prec@1 37.500 (38.251)	Prec@5 71.484 (68.013)
Epoch: [74][3440/7045]	Time 0.102 (0.240)	Data 0.004 (0.176)	Loss 2.5092 (2.5550)	Prec@1 42.188 (38.253)	Prec@5 68.750 (68.013)
Epoch: [74][3450/7045]	Time 0.334 (0.240)	Data 0.282 (0.176)	Loss 2.5939 (2.5550)	Prec@1 38.281 (38.252)	Prec@5 67.969 (68.011)
Epoch: [74][3460/7045]	Time 0.102 (0.240)	Data 0.001 (0.176)	Loss 2.8185 (2.5551)	Prec@1 32.812 (38.245)	Prec@5 62.500 (68.009)
Epoch: [74][3470/7045]	Time 0.270 (0.240)	Data 0.217 (0.176)	Loss 2.7172 (2.5551)	Prec@1 35.156 (38.245)	Prec@5 65.625 (68.012)
Epoch: [74][3480/7045]	Time 0.152 (0.240)	Data 0.101 (0.176)	Loss 2.4131 (2.5549)	Prec@1 39.844 (38.244)	Prec@5 70.703 (68.014)
Epoch: [74][3490/7045]	Time 0.332 (0.240)	Data 0.273 (0.176)	Loss 2.5906 (2.5547)	Prec@1 32.422 (38.246)	Prec@5 66.406 (68.019)
Epoch: [74][3500/7045]	Time 0.130 (0.240)	Data 0.079 (0.176)	Loss 2.5739 (2.5548)	Prec@1 33.984 (38.244)	Prec@5 69.141 (68.019)
Epoch: [74][3510/7045]	Time 0.398 (0.240)	Data 0.345 (0.176)	Loss 2.6032 (2.5548)	Prec@1 36.328 (38.242)	Prec@5 68.750 (68.020)
Epoch: [74][3520/7045]	Time 0.144 (0.240)	Data 0.092 (0.176)	Loss 2.6791 (2.5548)	Prec@1 37.891 (38.244)	Prec@5 66.016 (68.018)
Epoch: [74][3530/7045]	Time 0.330 (0.240)	Data 0.278 (0.176)	Loss 2.4048 (2.5547)	Prec@1 42.969 (38.253)	Prec@5 69.531 (68.018)
Epoch: [74][3540/7045]	Time 0.109 (0.240)	Data 0.056 (0.176)	Loss 2.6073 (2.5546)	Prec@1 33.984 (38.256)	Prec@5 67.188 (68.021)
Epoch: [74][3550/7045]	Time 0.306 (0.240)	Data 0.255 (0.176)	Loss 2.4712 (2.5546)	Prec@1 38.281 (38.255)	Prec@5 69.922 (68.022)
Epoch: [74][3560/7045]	Time 0.102 (0.240)	Data 0.001 (0.176)	Loss 2.5915 (2.5548)	Prec@1 41.406 (38.253)	Prec@5 66.406 (68.018)
Epoch: [74][3570/7045]	Time 0.364 (0.240)	Data 0.307 (0.176)	Loss 2.4278 (2.5548)	Prec@1 42.188 (38.254)	Prec@5 69.141 (68.015)
Epoch: [74][3580/7045]	Time 0.102 (0.240)	Data 0.005 (0.176)	Loss 2.6486 (2.5547)	Prec@1 32.812 (38.251)	Prec@5 65.234 (68.017)
Epoch: [74][3590/7045]	Time 0.353 (0.240)	Data 0.293 (0.176)	Loss 2.6284 (2.5547)	Prec@1 35.547 (38.251)	Prec@5 67.188 (68.017)
Epoch: [74][3600/7045]	Time 0.102 (0.240)	Data 0.001 (0.176)	Loss 2.6615 (2.5547)	Prec@1 35.156 (38.253)	Prec@5 67.578 (68.021)
Epoch: [74][3610/7045]	Time 0.303 (0.240)	Data 0.243 (0.176)	Loss 2.3919 (2.5547)	Prec@1 41.797 (38.253)	Prec@5 72.266 (68.021)
Epoch: [74][3620/7045]	Time 0.102 (0.240)	Data 0.001 (0.176)	Loss 2.4955 (2.5548)	Prec@1 38.672 (38.254)	Prec@5 67.969 (68.019)
Epoch: [74][3630/7045]	Time 0.310 (0.240)	Data 0.251 (0.176)	Loss 2.5653 (2.5549)	Prec@1 38.281 (38.254)	Prec@5 69.922 (68.017)
Epoch: [74][3640/7045]	Time 0.102 (0.240)	Data 0.001 (0.176)	Loss 2.6053 (2.5550)	Prec@1 36.719 (38.254)	Prec@5 70.312 (68.016)
Epoch: [74][3650/7045]	Time 0.387 (0.240)	Data 0.329 (0.176)	Loss 2.6861 (2.5552)	Prec@1 36.328 (38.248)	Prec@5 66.406 (68.011)
Epoch: [74][3660/7045]	Time 0.103 (0.240)	Data 0.001 (0.176)	Loss 2.7054 (2.5552)	Prec@1 36.328 (38.248)	Prec@5 65.625 (68.009)
Epoch: [74][3670/7045]	Time 0.505 (0.240)	Data 0.454 (0.176)	Loss 2.7526 (2.5552)	Prec@1 29.297 (38.244)	Prec@5 64.844 (68.011)
Epoch: [74][3680/7045]	Time 0.101 (0.240)	Data 0.001 (0.176)	Loss 2.5212 (2.5550)	Prec@1 40.234 (38.247)	Prec@5 71.484 (68.014)
Epoch: [74][3690/7045]	Time 0.414 (0.240)	Data 0.362 (0.176)	Loss 2.7507 (2.5553)	Prec@1 35.547 (38.239)	Prec@5 66.016 (68.011)
Epoch: [74][3700/7045]	Time 0.102 (0.240)	Data 0.001 (0.176)	Loss 2.6537 (2.5552)	Prec@1 40.234 (38.243)	Prec@5 69.141 (68.015)
Epoch: [74][3710/7045]	Time 0.109 (0.240)	Data 0.004 (0.176)	Loss 2.5964 (2.5551)	Prec@1 37.500 (38.244)	Prec@5 65.234 (68.015)
Epoch: [74][3720/7045]	Time 0.101 (0.240)	Data 0.001 (0.176)	Loss 2.6788 (2.5551)	Prec@1 34.766 (38.242)	Prec@5 66.797 (68.013)
Epoch: [74][3730/7045]	Time 0.112 (0.240)	Data 0.060 (0.176)	Loss 2.6248 (2.5551)	Prec@1 38.672 (38.242)	Prec@5 65.234 (68.013)
Epoch: [74][3740/7045]	Time 0.102 (0.240)	Data 0.001 (0.175)	Loss 2.7254 (2.5549)	Prec@1 32.812 (38.243)	Prec@5 66.406 (68.019)
Epoch: [74][3750/7045]	Time 0.102 (0.240)	Data 0.001 (0.175)	Loss 2.7706 (2.5550)	Prec@1 33.984 (38.241)	Prec@5 64.062 (68.017)
Epoch: [74][3760/7045]	Time 0.102 (0.240)	Data 0.001 (0.175)	Loss 2.4947 (2.5552)	Prec@1 40.625 (38.238)	Prec@5 66.797 (68.014)
Epoch: [74][3770/7045]	Time 0.111 (0.240)	Data 0.058 (0.175)	Loss 2.5242 (2.5552)	Prec@1 38.281 (38.235)	Prec@5 70.312 (68.016)
Epoch: [74][3780/7045]	Time 0.102 (0.240)	Data 0.001 (0.175)	Loss 2.3173 (2.5551)	Prec@1 42.188 (38.236)	Prec@5 71.484 (68.019)
Epoch: [74][3790/7045]	Time 0.108 (0.240)	Data 0.006 (0.175)	Loss 2.6234 (2.5550)	Prec@1 37.891 (38.239)	Prec@5 66.016 (68.020)
Epoch: [74][3800/7045]	Time 0.102 (0.240)	Data 0.001 (0.175)	Loss 2.7458 (2.5551)	Prec@1 35.547 (38.237)	Prec@5 62.891 (68.018)
Epoch: [74][3810/7045]	Time 0.108 (0.240)	Data 0.055 (0.175)	Loss 2.7622 (2.5552)	Prec@1 33.594 (38.236)	Prec@5 62.109 (68.019)
Epoch: [74][3820/7045]	Time 0.103 (0.240)	Data 0.001 (0.175)	Loss 2.6390 (2.5551)	Prec@1 36.328 (38.241)	Prec@5 67.578 (68.017)
Epoch: [74][3830/7045]	Time 0.106 (0.240)	Data 0.053 (0.175)	Loss 2.5494 (2.5551)	Prec@1 37.500 (38.241)	Prec@5 65.234 (68.016)
Epoch: [74][3840/7045]	Time 0.111 (0.240)	Data 0.060 (0.175)	Loss 2.4870 (2.5552)	Prec@1 38.672 (38.240)	Prec@5 69.922 (68.016)
Epoch: [74][3850/7045]	Time 0.110 (0.240)	Data 0.056 (0.175)	Loss 2.7565 (2.5552)	Prec@1 35.156 (38.240)	Prec@5 65.625 (68.017)
Epoch: [74][3860/7045]	Time 0.102 (0.240)	Data 0.004 (0.175)	Loss 2.5720 (2.5551)	Prec@1 36.328 (38.241)	Prec@5 70.312 (68.014)
Epoch: [74][3870/7045]	Time 0.110 (0.240)	Data 0.004 (0.175)	Loss 2.4572 (2.5551)	Prec@1 41.797 (38.242)	Prec@5 71.484 (68.018)
Epoch: [74][3880/7045]	Time 0.103 (0.240)	Data 0.001 (0.175)	Loss 2.6532 (2.5550)	Prec@1 37.500 (38.242)	Prec@5 65.625 (68.024)
Epoch: [74][3890/7045]	Time 0.107 (0.240)	Data 0.001 (0.175)	Loss 2.2490 (2.5549)	Prec@1 44.141 (38.243)	Prec@5 70.703 (68.025)
Epoch: [74][3900/7045]	Time 0.102 (0.240)	Data 0.005 (0.175)	Loss 2.5245 (2.5549)	Prec@1 33.203 (38.241)	Prec@5 69.922 (68.026)
Epoch: [74][3910/7045]	Time 0.102 (0.240)	Data 0.005 (0.175)	Loss 2.6252 (2.5549)	Prec@1 37.891 (38.246)	Prec@5 68.750 (68.028)
Epoch: [74][3920/7045]	Time 0.112 (0.240)	Data 0.059 (0.175)	Loss 2.5475 (2.5548)	Prec@1 38.672 (38.244)	Prec@5 66.797 (68.028)
Epoch: [74][3930/7045]	Time 0.102 (0.240)	Data 0.004 (0.175)	Loss 2.7474 (2.5549)	Prec@1 32.422 (38.241)	Prec@5 65.234 (68.025)
Epoch: [74][3940/7045]	Time 0.111 (0.240)	Data 0.058 (0.175)	Loss 2.6555 (2.5550)	Prec@1 35.938 (38.240)	Prec@5 67.969 (68.025)
Epoch: [74][3950/7045]	Time 0.109 (0.240)	Data 0.001 (0.175)	Loss 2.4524 (2.5549)	Prec@1 41.016 (38.243)	Prec@5 71.094 (68.028)
Epoch: [74][3960/7045]	Time 0.102 (0.240)	Data 0.001 (0.175)	Loss 2.4354 (2.5550)	Prec@1 43.750 (38.243)	Prec@5 71.094 (68.026)
Epoch: [74][3970/7045]	Time 0.108 (0.240)	Data 0.004 (0.175)	Loss 2.5064 (2.5550)	Prec@1 37.500 (38.242)	Prec@5 69.141 (68.024)
Epoch: [74][3980/7045]	Time 0.102 (0.240)	Data 0.001 (0.175)	Loss 2.5146 (2.5551)	Prec@1 40.234 (38.243)	Prec@5 70.703 (68.024)
Epoch: [74][3990/7045]	Time 0.112 (0.240)	Data 0.059 (0.175)	Loss 2.5549 (2.5551)	Prec@1 37.500 (38.240)	Prec@5 68.359 (68.022)
Epoch: [74][4000/7045]	Time 0.103 (0.240)	Data 0.050 (0.174)	Loss 2.4743 (2.5551)	Prec@1 37.109 (38.238)	Prec@5 64.844 (68.023)
Epoch: [74][4010/7045]	Time 0.106 (0.240)	Data 0.046 (0.175)	Loss 2.5461 (2.5552)	Prec@1 33.594 (38.233)	Prec@5 68.750 (68.023)
Epoch: [74][4020/7045]	Time 0.102 (0.240)	Data 0.002 (0.174)	Loss 2.6315 (2.5552)	Prec@1 36.719 (38.233)	Prec@5 65.234 (68.022)
Epoch: [74][4030/7045]	Time 0.102 (0.240)	Data 0.044 (0.175)	Loss 2.6657 (2.5552)	Prec@1 41.016 (38.233)	Prec@5 62.891 (68.020)
Epoch: [74][4040/7045]	Time 0.106 (0.240)	Data 0.053 (0.175)	Loss 2.5003 (2.5551)	Prec@1 40.625 (38.234)	Prec@5 69.922 (68.024)
Epoch: [74][4050/7045]	Time 0.110 (0.240)	Data 0.006 (0.175)	Loss 2.7424 (2.5551)	Prec@1 36.719 (38.237)	Prec@5 62.891 (68.025)
Epoch: [74][4060/7045]	Time 0.103 (0.240)	Data 0.001 (0.174)	Loss 2.5907 (2.5550)	Prec@1 42.188 (38.241)	Prec@5 68.750 (68.026)
Epoch: [74][4070/7045]	Time 0.231 (0.240)	Data 0.179 (0.175)	Loss 2.4160 (2.5549)	Prec@1 40.625 (38.243)	Prec@5 69.922 (68.027)
Epoch: [74][4080/7045]	Time 0.102 (0.240)	Data 0.001 (0.174)	Loss 2.6032 (2.5551)	Prec@1 35.156 (38.241)	Prec@5 69.141 (68.022)
Epoch: [74][4090/7045]	Time 0.217 (0.240)	Data 0.165 (0.174)	Loss 2.5585 (2.5553)	Prec@1 42.578 (38.238)	Prec@5 64.844 (68.018)
Epoch: [74][4100/7045]	Time 0.103 (0.240)	Data 0.001 (0.174)	Loss 2.6277 (2.5554)	Prec@1 40.625 (38.236)	Prec@5 67.578 (68.018)
Epoch: [74][4110/7045]	Time 0.221 (0.240)	Data 0.169 (0.174)	Loss 2.4974 (2.5554)	Prec@1 47.266 (38.236)	Prec@5 72.266 (68.021)
Epoch: [74][4120/7045]	Time 0.103 (0.240)	Data 0.001 (0.174)	Loss 2.3297 (2.5554)	Prec@1 44.141 (38.239)	Prec@5 73.047 (68.022)
Epoch: [74][4130/7045]	Time 0.223 (0.240)	Data 0.170 (0.174)	Loss 2.5620 (2.5553)	Prec@1 38.672 (38.241)	Prec@5 69.922 (68.023)
Epoch: [74][4140/7045]	Time 0.101 (0.240)	Data 0.004 (0.174)	Loss 2.5516 (2.5552)	Prec@1 36.719 (38.246)	Prec@5 72.266 (68.026)
Epoch: [74][4150/7045]	Time 0.107 (0.240)	Data 0.004 (0.174)	Loss 2.6657 (2.5552)	Prec@1 37.500 (38.248)	Prec@5 65.625 (68.027)
Epoch: [74][4160/7045]	Time 0.102 (0.240)	Data 0.001 (0.174)	Loss 2.7902 (2.5552)	Prec@1 28.516 (38.245)	Prec@5 64.453 (68.028)
Epoch: [74][4170/7045]	Time 0.109 (0.240)	Data 0.005 (0.174)	Loss 2.7023 (2.5551)	Prec@1 37.109 (38.247)	Prec@5 66.797 (68.029)
Epoch: [74][4180/7045]	Time 0.102 (0.240)	Data 0.001 (0.174)	Loss 2.5142 (2.5552)	Prec@1 41.406 (38.247)	Prec@5 70.703 (68.026)
Epoch: [74][4190/7045]	Time 0.109 (0.240)	Data 0.007 (0.174)	Loss 2.4885 (2.5551)	Prec@1 34.375 (38.246)	Prec@5 72.266 (68.030)
Epoch: [74][4200/7045]	Time 0.102 (0.240)	Data 0.001 (0.174)	Loss 2.4961 (2.5551)	Prec@1 36.719 (38.247)	Prec@5 69.531 (68.030)
Epoch: [74][4210/7045]	Time 0.215 (0.240)	Data 0.164 (0.174)	Loss 2.6108 (2.5551)	Prec@1 38.281 (38.247)	Prec@5 66.016 (68.031)
Epoch: [74][4220/7045]	Time 0.103 (0.240)	Data 0.001 (0.174)	Loss 2.4405 (2.5552)	Prec@1 39.453 (38.243)	Prec@5 69.141 (68.030)
Epoch: [74][4230/7045]	Time 0.108 (0.240)	Data 0.002 (0.174)	Loss 2.4641 (2.5552)	Prec@1 39.453 (38.243)	Prec@5 70.703 (68.029)
Epoch: [74][4240/7045]	Time 0.102 (0.240)	Data 0.001 (0.174)	Loss 2.4459 (2.5552)	Prec@1 38.281 (38.241)	Prec@5 71.875 (68.032)
Epoch: [74][4250/7045]	Time 0.109 (0.240)	Data 0.005 (0.174)	Loss 2.5481 (2.5552)	Prec@1 34.375 (38.240)	Prec@5 67.188 (68.030)
Epoch: [74][4260/7045]	Time 0.102 (0.240)	Data 0.001 (0.174)	Loss 2.3983 (2.5552)	Prec@1 39.453 (38.241)	Prec@5 70.703 (68.031)
Epoch: [74][4270/7045]	Time 0.108 (0.240)	Data 0.003 (0.174)	Loss 2.4707 (2.5552)	Prec@1 41.406 (38.237)	Prec@5 70.312 (68.029)
Epoch: [74][4280/7045]	Time 0.102 (0.240)	Data 0.001 (0.174)	Loss 2.5083 (2.5552)	Prec@1 36.328 (38.236)	Prec@5 69.922 (68.030)
Epoch: [74][4290/7045]	Time 0.109 (0.240)	Data 0.007 (0.174)	Loss 2.5006 (2.5554)	Prec@1 35.938 (38.231)	Prec@5 68.750 (68.026)
Epoch: [74][4300/7045]	Time 0.102 (0.240)	Data 0.001 (0.174)	Loss 2.6292 (2.5554)	Prec@1 37.500 (38.230)	Prec@5 67.188 (68.024)
Epoch: [74][4310/7045]	Time 0.109 (0.240)	Data 0.006 (0.174)	Loss 2.5302 (2.5555)	Prec@1 39.062 (38.230)	Prec@5 69.141 (68.024)
Epoch: [74][4320/7045]	Time 0.103 (0.240)	Data 0.001 (0.173)	Loss 2.5722 (2.5555)	Prec@1 38.281 (38.228)	Prec@5 66.797 (68.022)
Epoch: [74][4330/7045]	Time 0.109 (0.240)	Data 0.008 (0.173)	Loss 2.6486 (2.5555)	Prec@1 35.547 (38.230)	Prec@5 64.453 (68.023)
Epoch: [74][4340/7045]	Time 0.114 (0.240)	Data 0.061 (0.173)	Loss 2.5182 (2.5554)	Prec@1 37.500 (38.232)	Prec@5 70.312 (68.024)
Epoch: [74][4350/7045]	Time 0.102 (0.240)	Data 0.002 (0.173)	Loss 2.7976 (2.5554)	Prec@1 30.469 (38.229)	Prec@5 60.156 (68.022)
Epoch: [74][4360/7045]	Time 0.112 (0.240)	Data 0.060 (0.173)	Loss 2.6362 (2.5555)	Prec@1 37.109 (38.228)	Prec@5 67.969 (68.022)
Epoch: [74][4370/7045]	Time 0.222 (0.240)	Data 0.163 (0.173)	Loss 2.6493 (2.5554)	Prec@1 35.547 (38.229)	Prec@5 66.797 (68.023)
Epoch: [74][4380/7045]	Time 0.101 (0.240)	Data 0.001 (0.173)	Loss 2.4394 (2.5554)	Prec@1 42.969 (38.230)	Prec@5 72.266 (68.021)
Epoch: [74][4390/7045]	Time 0.169 (0.240)	Data 0.117 (0.173)	Loss 2.5961 (2.5555)	Prec@1 38.281 (38.230)	Prec@5 67.969 (68.023)
Epoch: [74][4400/7045]	Time 0.102 (0.240)	Data 0.005 (0.173)	Loss 2.5659 (2.5555)	Prec@1 37.109 (38.229)	Prec@5 65.625 (68.022)
Epoch: [74][4410/7045]	Time 0.150 (0.240)	Data 0.097 (0.173)	Loss 2.6091 (2.5556)	Prec@1 34.766 (38.228)	Prec@5 68.750 (68.021)
Epoch: [74][4420/7045]	Time 0.102 (0.240)	Data 0.001 (0.173)	Loss 2.5473 (2.5557)	Prec@1 37.500 (38.225)	Prec@5 68.750 (68.021)
Epoch: [74][4430/7045]	Time 0.143 (0.240)	Data 0.090 (0.173)	Loss 2.6264 (2.5555)	Prec@1 34.766 (38.226)	Prec@5 67.578 (68.022)
Epoch: [74][4440/7045]	Time 0.102 (0.240)	Data 0.001 (0.173)	Loss 2.6583 (2.5555)	Prec@1 38.281 (38.228)	Prec@5 65.625 (68.024)
Epoch: [74][4450/7045]	Time 0.109 (0.240)	Data 0.055 (0.173)	Loss 2.6897 (2.5555)	Prec@1 36.328 (38.226)	Prec@5 66.797 (68.024)
Epoch: [74][4460/7045]	Time 0.102 (0.240)	Data 0.004 (0.173)	Loss 2.5041 (2.5556)	Prec@1 40.234 (38.227)	Prec@5 67.188 (68.022)
Epoch: [74][4470/7045]	Time 0.102 (0.240)	Data 0.004 (0.173)	Loss 2.6273 (2.5556)	Prec@1 36.328 (38.228)	Prec@5 67.969 (68.025)
Epoch: [74][4480/7045]	Time 0.105 (0.240)	Data 0.053 (0.173)	Loss 2.4149 (2.5555)	Prec@1 42.188 (38.230)	Prec@5 70.703 (68.026)
Epoch: [74][4490/7045]	Time 0.177 (0.240)	Data 0.124 (0.173)	Loss 2.4898 (2.5556)	Prec@1 37.500 (38.227)	Prec@5 70.312 (68.027)
Epoch: [74][4500/7045]	Time 0.107 (0.240)	Data 0.054 (0.173)	Loss 2.6103 (2.5556)	Prec@1 36.719 (38.225)	Prec@5 66.016 (68.027)
Epoch: [74][4510/7045]	Time 0.137 (0.240)	Data 0.077 (0.173)	Loss 2.6318 (2.5557)	Prec@1 38.281 (38.225)	Prec@5 68.359 (68.025)
Epoch: [74][4520/7045]	Time 0.439 (0.240)	Data 0.385 (0.173)	Loss 2.5986 (2.5557)	Prec@1 35.938 (38.225)	Prec@5 67.578 (68.024)
Epoch: [74][4530/7045]	Time 0.139 (0.240)	Data 0.079 (0.173)	Loss 2.5885 (2.5556)	Prec@1 34.375 (38.225)	Prec@5 66.797 (68.024)
Epoch: [74][4540/7045]	Time 0.630 (0.240)	Data 0.570 (0.173)	Loss 2.7749 (2.5556)	Prec@1 33.984 (38.225)	Prec@5 63.281 (68.024)
Epoch: [74][4550/7045]	Time 0.106 (0.240)	Data 0.053 (0.173)	Loss 2.4523 (2.5555)	Prec@1 41.797 (38.228)	Prec@5 69.141 (68.027)
Epoch: [74][4560/7045]	Time 0.619 (0.240)	Data 0.562 (0.173)	Loss 2.4695 (2.5554)	Prec@1 39.844 (38.229)	Prec@5 69.922 (68.028)
Epoch: [74][4570/7045]	Time 0.102 (0.240)	Data 0.004 (0.173)	Loss 2.6843 (2.5554)	Prec@1 32.422 (38.228)	Prec@5 64.062 (68.027)
Epoch: [74][4580/7045]	Time 0.639 (0.240)	Data 0.586 (0.173)	Loss 2.5773 (2.5554)	Prec@1 33.203 (38.226)	Prec@5 64.844 (68.026)
Epoch: [74][4590/7045]	Time 0.107 (0.240)	Data 0.003 (0.173)	Loss 2.4508 (2.5555)	Prec@1 39.453 (38.225)	Prec@5 71.094 (68.026)
Epoch: [74][4600/7045]	Time 0.623 (0.240)	Data 0.571 (0.173)	Loss 2.6137 (2.5554)	Prec@1 34.375 (38.224)	Prec@5 66.406 (68.028)
Epoch: [74][4610/7045]	Time 0.101 (0.240)	Data 0.001 (0.173)	Loss 2.6229 (2.5555)	Prec@1 38.281 (38.223)	Prec@5 64.062 (68.026)
Epoch: [74][4620/7045]	Time 0.580 (0.240)	Data 0.529 (0.173)	Loss 2.5757 (2.5555)	Prec@1 42.188 (38.223)	Prec@5 69.141 (68.026)
Epoch: [74][4630/7045]	Time 0.103 (0.240)	Data 0.001 (0.173)	Loss 2.6057 (2.5557)	Prec@1 37.500 (38.222)	Prec@5 66.016 (68.022)
Epoch: [74][4640/7045]	Time 0.538 (0.240)	Data 0.486 (0.173)	Loss 2.7585 (2.5556)	Prec@1 36.719 (38.224)	Prec@5 66.406 (68.023)
Epoch: [74][4650/7045]	Time 0.109 (0.240)	Data 0.001 (0.173)	Loss 2.4713 (2.5557)	Prec@1 40.625 (38.224)	Prec@5 69.922 (68.024)
Epoch: [74][4660/7045]	Time 0.595 (0.240)	Data 0.543 (0.173)	Loss 2.5765 (2.5557)	Prec@1 39.453 (38.225)	Prec@5 68.750 (68.024)
Epoch: [74][4670/7045]	Time 0.102 (0.240)	Data 0.001 (0.173)	Loss 2.5187 (2.5557)	Prec@1 38.672 (38.227)	Prec@5 67.188 (68.025)
Epoch: [74][4680/7045]	Time 0.559 (0.240)	Data 0.506 (0.173)	Loss 2.4528 (2.5556)	Prec@1 35.938 (38.226)	Prec@5 68.750 (68.025)
Epoch: [74][4690/7045]	Time 0.103 (0.240)	Data 0.001 (0.173)	Loss 2.6278 (2.5558)	Prec@1 42.969 (38.224)	Prec@5 64.844 (68.020)
Epoch: [74][4700/7045]	Time 0.474 (0.240)	Data 0.420 (0.173)	Loss 2.7367 (2.5559)	Prec@1 30.469 (38.224)	Prec@5 68.750 (68.019)
Epoch: [74][4710/7045]	Time 0.103 (0.240)	Data 0.001 (0.173)	Loss 2.5588 (2.5559)	Prec@1 38.281 (38.222)	Prec@5 69.141 (68.019)
Epoch: [74][4720/7045]	Time 0.448 (0.240)	Data 0.390 (0.173)	Loss 2.5168 (2.5559)	Prec@1 35.547 (38.221)	Prec@5 70.312 (68.020)
Epoch: [74][4730/7045]	Time 0.102 (0.240)	Data 0.001 (0.173)	Loss 2.8125 (2.5560)	Prec@1 32.422 (38.218)	Prec@5 64.844 (68.020)
Epoch: [74][4740/7045]	Time 0.288 (0.240)	Data 0.231 (0.173)	Loss 2.6928 (2.5560)	Prec@1 36.719 (38.218)	Prec@5 65.625 (68.022)
Epoch: [74][4750/7045]	Time 0.102 (0.240)	Data 0.006 (0.173)	Loss 2.5702 (2.5560)	Prec@1 41.406 (38.217)	Prec@5 66.016 (68.019)
Epoch: [74][4760/7045]	Time 0.247 (0.240)	Data 0.188 (0.173)	Loss 2.6500 (2.5562)	Prec@1 35.156 (38.213)	Prec@5 65.625 (68.016)
Epoch: [74][4770/7045]	Time 0.107 (0.239)	Data 0.053 (0.173)	Loss 2.5703 (2.5563)	Prec@1 39.062 (38.212)	Prec@5 65.234 (68.014)
Epoch: [74][4780/7045]	Time 0.172 (0.240)	Data 0.121 (0.173)	Loss 2.3813 (2.5564)	Prec@1 43.750 (38.213)	Prec@5 71.875 (68.013)
Epoch: [74][4790/7045]	Time 0.102 (0.239)	Data 0.003 (0.173)	Loss 2.3563 (2.5563)	Prec@1 40.234 (38.213)	Prec@5 73.828 (68.014)
Epoch: [74][4800/7045]	Time 0.102 (0.240)	Data 0.047 (0.173)	Loss 2.6224 (2.5563)	Prec@1 41.016 (38.214)	Prec@5 69.141 (68.016)
Epoch: [74][4810/7045]	Time 0.102 (0.239)	Data 0.006 (0.173)	Loss 2.4538 (2.5564)	Prec@1 42.578 (38.215)	Prec@5 68.750 (68.015)
Epoch: [74][4820/7045]	Time 0.101 (0.240)	Data 0.006 (0.173)	Loss 2.3869 (2.5564)	Prec@1 41.797 (38.215)	Prec@5 73.047 (68.013)
Epoch: [74][4830/7045]	Time 0.102 (0.239)	Data 0.003 (0.173)	Loss 2.6483 (2.5566)	Prec@1 37.500 (38.213)	Prec@5 66.797 (68.011)
Epoch: [74][4840/7045]	Time 0.102 (0.240)	Data 0.006 (0.173)	Loss 2.5733 (2.5565)	Prec@1 41.797 (38.214)	Prec@5 67.578 (68.011)
Epoch: [74][4850/7045]	Time 0.102 (0.239)	Data 0.005 (0.173)	Loss 2.5452 (2.5565)	Prec@1 39.062 (38.212)	Prec@5 66.406 (68.012)
Epoch: [74][4860/7045]	Time 0.101 (0.240)	Data 0.004 (0.173)	Loss 2.3539 (2.5565)	Prec@1 43.750 (38.211)	Prec@5 71.875 (68.011)
Epoch: [74][4870/7045]	Time 0.102 (0.239)	Data 0.003 (0.173)	Loss 2.6279 (2.5566)	Prec@1 35.938 (38.209)	Prec@5 67.188 (68.007)
Epoch: [74][4880/7045]	Time 0.107 (0.240)	Data 0.007 (0.173)	Loss 2.6072 (2.5567)	Prec@1 39.453 (38.207)	Prec@5 67.969 (68.006)
Epoch: [74][4890/7045]	Time 0.102 (0.239)	Data 0.001 (0.173)	Loss 2.7568 (2.5568)	Prec@1 35.156 (38.206)	Prec@5 61.719 (68.005)
Epoch: [74][4900/7045]	Time 0.121 (0.240)	Data 0.061 (0.173)	Loss 2.4503 (2.5568)	Prec@1 39.062 (38.208)	Prec@5 68.750 (68.006)
Epoch: [74][4910/7045]	Time 0.102 (0.239)	Data 0.005 (0.173)	Loss 2.4066 (2.5568)	Prec@1 38.672 (38.206)	Prec@5 71.484 (68.007)
Epoch: [74][4920/7045]	Time 0.117 (0.239)	Data 0.057 (0.173)	Loss 2.5271 (2.5567)	Prec@1 35.547 (38.204)	Prec@5 70.312 (68.005)
Epoch: [74][4930/7045]	Time 0.102 (0.239)	Data 0.047 (0.173)	Loss 2.3336 (2.5566)	Prec@1 44.531 (38.206)	Prec@5 69.141 (68.006)
Epoch: [74][4940/7045]	Time 0.111 (0.239)	Data 0.058 (0.173)	Loss 2.6114 (2.5566)	Prec@1 35.547 (38.205)	Prec@5 66.016 (68.007)
Epoch: [74][4950/7045]	Time 0.102 (0.239)	Data 0.003 (0.173)	Loss 2.4558 (2.5566)	Prec@1 42.578 (38.207)	Prec@5 69.531 (68.007)
Epoch: [74][4960/7045]	Time 0.102 (0.239)	Data 0.002 (0.173)	Loss 2.5670 (2.5566)	Prec@1 40.234 (38.207)	Prec@5 67.969 (68.006)
Epoch: [74][4970/7045]	Time 0.137 (0.239)	Data 0.084 (0.173)	Loss 2.4794 (2.5566)	Prec@1 39.844 (38.206)	Prec@5 68.359 (68.006)
Epoch: [74][4980/7045]	Time 0.103 (0.239)	Data 0.006 (0.173)	Loss 2.5826 (2.5567)	Prec@1 34.766 (38.203)	Prec@5 70.312 (68.006)
Epoch: [74][4990/7045]	Time 0.185 (0.239)	Data 0.132 (0.173)	Loss 2.5942 (2.5566)	Prec@1 36.328 (38.204)	Prec@5 68.750 (68.010)
Epoch: [74][5000/7045]	Time 0.103 (0.239)	Data 0.051 (0.173)	Loss 2.2581 (2.5567)	Prec@1 42.969 (38.203)	Prec@5 76.172 (68.009)
Epoch: [74][5010/7045]	Time 0.138 (0.239)	Data 0.085 (0.173)	Loss 2.6551 (2.5567)	Prec@1 37.891 (38.203)	Prec@5 62.500 (68.008)
Epoch: [74][5020/7045]	Time 0.107 (0.239)	Data 0.003 (0.173)	Loss 2.5077 (2.5565)	Prec@1 41.406 (38.207)	Prec@5 67.969 (68.010)
Epoch: [74][5030/7045]	Time 0.114 (0.239)	Data 0.062 (0.173)	Loss 2.5899 (2.5565)	Prec@1 37.500 (38.206)	Prec@5 66.406 (68.010)
Epoch: [74][5040/7045]	Time 0.102 (0.239)	Data 0.047 (0.173)	Loss 2.6203 (2.5566)	Prec@1 42.578 (38.205)	Prec@5 66.406 (68.007)
Epoch: [74][5050/7045]	Time 0.147 (0.239)	Data 0.094 (0.173)	Loss 2.4072 (2.5567)	Prec@1 44.141 (38.203)	Prec@5 67.578 (68.006)
Epoch: [74][5060/7045]	Time 0.102 (0.239)	Data 0.003 (0.173)	Loss 2.5415 (2.5567)	Prec@1 34.375 (38.203)	Prec@5 69.922 (68.007)
Epoch: [74][5070/7045]	Time 0.132 (0.239)	Data 0.081 (0.173)	Loss 2.6829 (2.5567)	Prec@1 33.594 (38.207)	Prec@5 66.016 (68.007)
Epoch: [74][5080/7045]	Time 0.101 (0.239)	Data 0.001 (0.173)	Loss 2.5448 (2.5566)	Prec@1 35.547 (38.208)	Prec@5 70.703 (68.009)
Epoch: [74][5090/7045]	Time 0.246 (0.239)	Data 0.193 (0.173)	Loss 2.5221 (2.5567)	Prec@1 39.062 (38.207)	Prec@5 67.578 (68.007)
Epoch: [74][5100/7045]	Time 0.111 (0.239)	Data 0.059 (0.173)	Loss 2.5557 (2.5567)	Prec@1 41.016 (38.205)	Prec@5 67.969 (68.006)
Epoch: [74][5110/7045]	Time 0.267 (0.239)	Data 0.214 (0.173)	Loss 2.4172 (2.5567)	Prec@1 37.891 (38.203)	Prec@5 70.312 (68.007)
Epoch: [74][5120/7045]	Time 0.171 (0.239)	Data 0.119 (0.173)	Loss 2.4785 (2.5567)	Prec@1 36.328 (38.201)	Prec@5 69.922 (68.006)
Epoch: [74][5130/7045]	Time 0.308 (0.239)	Data 0.257 (0.173)	Loss 2.4373 (2.5567)	Prec@1 39.453 (38.202)	Prec@5 71.484 (68.006)
Epoch: [74][5140/7045]	Time 0.199 (0.239)	Data 0.147 (0.173)	Loss 2.4774 (2.5565)	Prec@1 40.234 (38.205)	Prec@5 72.266 (68.008)
Epoch: [74][5150/7045]	Time 0.308 (0.239)	Data 0.255 (0.173)	Loss 2.4507 (2.5565)	Prec@1 39.062 (38.205)	Prec@5 69.922 (68.008)
Epoch: [74][5160/7045]	Time 0.140 (0.239)	Data 0.088 (0.173)	Loss 2.3304 (2.5565)	Prec@1 42.969 (38.207)	Prec@5 75.000 (68.009)
Epoch: [74][5170/7045]	Time 0.364 (0.239)	Data 0.313 (0.173)	Loss 2.5565 (2.5564)	Prec@1 40.234 (38.207)	Prec@5 69.922 (68.011)
Epoch: [74][5180/7045]	Time 0.175 (0.239)	Data 0.123 (0.173)	Loss 2.3633 (2.5562)	Prec@1 40.625 (38.211)	Prec@5 69.141 (68.014)
Epoch: [74][5190/7045]	Time 0.272 (0.239)	Data 0.220 (0.173)	Loss 2.7385 (2.5563)	Prec@1 37.891 (38.208)	Prec@5 63.672 (68.014)
Epoch: [74][5200/7045]	Time 0.160 (0.239)	Data 0.108 (0.173)	Loss 2.3961 (2.5563)	Prec@1 43.359 (38.207)	Prec@5 67.578 (68.014)
Epoch: [74][5210/7045]	Time 0.330 (0.239)	Data 0.278 (0.173)	Loss 2.6555 (2.5563)	Prec@1 33.984 (38.205)	Prec@5 64.062 (68.012)
Epoch: [74][5220/7045]	Time 0.188 (0.239)	Data 0.136 (0.173)	Loss 2.3485 (2.5563)	Prec@1 41.797 (38.202)	Prec@5 73.828 (68.015)
Epoch: [74][5230/7045]	Time 0.436 (0.239)	Data 0.384 (0.173)	Loss 2.6314 (2.5564)	Prec@1 35.156 (38.200)	Prec@5 64.062 (68.015)
Epoch: [74][5240/7045]	Time 0.212 (0.239)	Data 0.160 (0.173)	Loss 2.3548 (2.5564)	Prec@1 39.453 (38.200)	Prec@5 74.219 (68.015)
Epoch: [74][5250/7045]	Time 0.485 (0.239)	Data 0.433 (0.173)	Loss 2.5335 (2.5562)	Prec@1 40.234 (38.203)	Prec@5 67.969 (68.016)
Epoch: [74][5260/7045]	Time 0.336 (0.239)	Data 0.284 (0.173)	Loss 2.6273 (2.5563)	Prec@1 39.844 (38.204)	Prec@5 67.578 (68.016)
Epoch: [74][5270/7045]	Time 0.249 (0.239)	Data 0.192 (0.173)	Loss 2.6628 (2.5563)	Prec@1 33.594 (38.202)	Prec@5 66.797 (68.015)
Epoch: [74][5280/7045]	Time 0.455 (0.239)	Data 0.403 (0.173)	Loss 2.5881 (2.5563)	Prec@1 35.938 (38.204)	Prec@5 70.703 (68.018)
Epoch: [74][5290/7045]	Time 0.157 (0.239)	Data 0.105 (0.173)	Loss 2.4128 (2.5563)	Prec@1 42.578 (38.204)	Prec@5 69.531 (68.018)
Epoch: [74][5300/7045]	Time 0.541 (0.239)	Data 0.483 (0.173)	Loss 2.6783 (2.5563)	Prec@1 37.500 (38.204)	Prec@5 63.281 (68.016)
Epoch: [74][5310/7045]	Time 0.163 (0.239)	Data 0.111 (0.173)	Loss 2.5579 (2.5563)	Prec@1 34.375 (38.204)	Prec@5 68.359 (68.017)
Epoch: [74][5320/7045]	Time 0.551 (0.239)	Data 0.499 (0.173)	Loss 2.3005 (2.5562)	Prec@1 42.969 (38.206)	Prec@5 73.438 (68.017)
Epoch: [74][5330/7045]	Time 0.211 (0.239)	Data 0.160 (0.173)	Loss 2.4799 (2.5563)	Prec@1 37.891 (38.204)	Prec@5 69.531 (68.016)
Epoch: [74][5340/7045]	Time 0.525 (0.239)	Data 0.466 (0.173)	Loss 2.4918 (2.5563)	Prec@1 39.062 (38.202)	Prec@5 69.141 (68.014)
Epoch: [74][5350/7045]	Time 0.254 (0.239)	Data 0.201 (0.173)	Loss 2.4594 (2.5564)	Prec@1 43.750 (38.203)	Prec@5 67.188 (68.012)
Epoch: [74][5360/7045]	Time 0.437 (0.239)	Data 0.386 (0.173)	Loss 2.5513 (2.5564)	Prec@1 38.281 (38.205)	Prec@5 69.922 (68.013)
Epoch: [74][5370/7045]	Time 0.308 (0.239)	Data 0.248 (0.173)	Loss 2.5199 (2.5565)	Prec@1 39.844 (38.205)	Prec@5 69.922 (68.012)
Epoch: [74][5380/7045]	Time 0.241 (0.239)	Data 0.189 (0.173)	Loss 2.8192 (2.5565)	Prec@1 34.375 (38.206)	Prec@5 61.719 (68.012)
Epoch: [74][5390/7045]	Time 0.288 (0.239)	Data 0.237 (0.173)	Loss 2.6444 (2.5566)	Prec@1 37.500 (38.205)	Prec@5 68.359 (68.011)
Epoch: [74][5400/7045]	Time 0.277 (0.239)	Data 0.225 (0.173)	Loss 2.5923 (2.5566)	Prec@1 35.547 (38.203)	Prec@5 68.359 (68.012)
Epoch: [74][5410/7045]	Time 0.208 (0.239)	Data 0.157 (0.173)	Loss 2.5207 (2.5566)	Prec@1 39.844 (38.203)	Prec@5 69.141 (68.010)
Epoch: [74][5420/7045]	Time 0.298 (0.239)	Data 0.246 (0.173)	Loss 2.5219 (2.5566)	Prec@1 37.500 (38.204)	Prec@5 69.141 (68.011)
Epoch: [74][5430/7045]	Time 0.166 (0.239)	Data 0.113 (0.173)	Loss 2.7501 (2.5566)	Prec@1 34.766 (38.206)	Prec@5 63.281 (68.011)
Epoch: [74][5440/7045]	Time 0.378 (0.239)	Data 0.326 (0.173)	Loss 2.5584 (2.5564)	Prec@1 39.453 (38.208)	Prec@5 68.750 (68.013)
Epoch: [74][5450/7045]	Time 0.128 (0.239)	Data 0.077 (0.173)	Loss 2.6258 (2.5563)	Prec@1 38.281 (38.211)	Prec@5 64.844 (68.017)
Epoch: [74][5460/7045]	Time 0.419 (0.239)	Data 0.366 (0.173)	Loss 2.3671 (2.5562)	Prec@1 39.844 (38.210)	Prec@5 69.531 (68.019)
Epoch: [74][5470/7045]	Time 0.164 (0.239)	Data 0.112 (0.173)	Loss 2.6599 (2.5562)	Prec@1 35.938 (38.207)	Prec@5 65.625 (68.019)
Epoch: [74][5480/7045]	Time 0.384 (0.239)	Data 0.333 (0.173)	Loss 2.5697 (2.5561)	Prec@1 36.719 (38.209)	Prec@5 67.969 (68.022)
Epoch: [74][5490/7045]	Time 0.180 (0.239)	Data 0.128 (0.173)	Loss 2.5212 (2.5561)	Prec@1 38.672 (38.209)	Prec@5 70.703 (68.022)
Epoch: [74][5500/7045]	Time 0.348 (0.239)	Data 0.295 (0.173)	Loss 2.6798 (2.5562)	Prec@1 36.719 (38.207)	Prec@5 65.234 (68.021)
Epoch: [74][5510/7045]	Time 0.174 (0.239)	Data 0.122 (0.173)	Loss 2.4832 (2.5562)	Prec@1 36.328 (38.206)	Prec@5 70.312 (68.020)
Epoch: [74][5520/7045]	Time 0.340 (0.239)	Data 0.289 (0.173)	Loss 2.5718 (2.5561)	Prec@1 38.281 (38.207)	Prec@5 70.703 (68.022)
Epoch: [74][5530/7045]	Time 0.112 (0.239)	Data 0.060 (0.173)	Loss 2.6370 (2.5562)	Prec@1 39.844 (38.206)	Prec@5 69.141 (68.020)
Epoch: [74][5540/7045]	Time 0.336 (0.239)	Data 0.284 (0.173)	Loss 2.3431 (2.5563)	Prec@1 42.969 (38.207)	Prec@5 70.312 (68.017)
Epoch: [74][5550/7045]	Time 0.170 (0.239)	Data 0.118 (0.173)	Loss 2.5766 (2.5563)	Prec@1 37.500 (38.208)	Prec@5 66.406 (68.017)
Epoch: [74][5560/7045]	Time 0.210 (0.239)	Data 0.152 (0.173)	Loss 2.3299 (2.5563)	Prec@1 46.484 (38.210)	Prec@5 70.312 (68.017)
Epoch: [74][5570/7045]	Time 0.152 (0.239)	Data 0.099 (0.173)	Loss 2.5625 (2.5562)	Prec@1 37.109 (38.208)	Prec@5 68.359 (68.018)
Epoch: [74][5580/7045]	Time 0.106 (0.239)	Data 0.053 (0.173)	Loss 2.6545 (2.5563)	Prec@1 39.062 (38.210)	Prec@5 67.188 (68.018)
Epoch: [74][5590/7045]	Time 0.101 (0.239)	Data 0.004 (0.173)	Loss 2.7206 (2.5564)	Prec@1 36.328 (38.206)	Prec@5 64.062 (68.016)
Epoch: [74][5600/7045]	Time 0.108 (0.239)	Data 0.055 (0.173)	Loss 2.5669 (2.5565)	Prec@1 35.938 (38.203)	Prec@5 65.625 (68.014)
Epoch: [74][5610/7045]	Time 0.102 (0.239)	Data 0.001 (0.173)	Loss 2.5235 (2.5565)	Prec@1 39.844 (38.203)	Prec@5 69.141 (68.016)
Epoch: [74][5620/7045]	Time 0.216 (0.239)	Data 0.164 (0.173)	Loss 2.5224 (2.5565)	Prec@1 41.406 (38.203)	Prec@5 66.016 (68.017)
Epoch: [74][5630/7045]	Time 0.103 (0.239)	Data 0.008 (0.173)	Loss 2.6048 (2.5566)	Prec@1 41.406 (38.203)	Prec@5 65.234 (68.014)
Epoch: [74][5640/7045]	Time 0.110 (0.239)	Data 0.057 (0.173)	Loss 2.6742 (2.5566)	Prec@1 37.891 (38.202)	Prec@5 66.797 (68.015)
Epoch: [74][5650/7045]	Time 0.102 (0.239)	Data 0.005 (0.173)	Loss 2.5931 (2.5565)	Prec@1 34.766 (38.203)	Prec@5 67.578 (68.017)
Epoch: [74][5660/7045]	Time 0.185 (0.239)	Data 0.133 (0.173)	Loss 2.7455 (2.5566)	Prec@1 33.203 (38.203)	Prec@5 64.062 (68.015)
Epoch: [74][5670/7045]	Time 0.103 (0.239)	Data 0.002 (0.173)	Loss 2.7086 (2.5565)	Prec@1 32.422 (38.205)	Prec@5 65.625 (68.017)
Epoch: [74][5680/7045]	Time 0.108 (0.239)	Data 0.055 (0.173)	Loss 2.7194 (2.5566)	Prec@1 34.766 (38.204)	Prec@5 64.844 (68.014)
Epoch: [74][5690/7045]	Time 0.102 (0.239)	Data 0.001 (0.173)	Loss 2.6599 (2.5566)	Prec@1 41.797 (38.208)	Prec@5 64.062 (68.012)
Epoch: [74][5700/7045]	Time 0.252 (0.239)	Data 0.200 (0.173)	Loss 2.6457 (2.5567)	Prec@1 34.766 (38.203)	Prec@5 67.188 (68.010)
Epoch: [74][5710/7045]	Time 0.111 (0.239)	Data 0.059 (0.173)	Loss 2.7942 (2.5567)	Prec@1 32.812 (38.203)	Prec@5 63.281 (68.011)
Epoch: [74][5720/7045]	Time 0.240 (0.239)	Data 0.189 (0.173)	Loss 2.6961 (2.5567)	Prec@1 39.844 (38.205)	Prec@5 64.453 (68.009)
Epoch: [74][5730/7045]	Time 0.112 (0.239)	Data 0.059 (0.173)	Loss 2.5815 (2.5568)	Prec@1 35.547 (38.206)	Prec@5 67.578 (68.008)
Epoch: [74][5740/7045]	Time 0.247 (0.239)	Data 0.193 (0.173)	Loss 2.5232 (2.5568)	Prec@1 37.500 (38.204)	Prec@5 67.969 (68.007)
Epoch: [74][5750/7045]	Time 0.103 (0.239)	Data 0.001 (0.173)	Loss 2.8677 (2.5567)	Prec@1 32.031 (38.205)	Prec@5 66.016 (68.009)
Epoch: [74][5760/7045]	Time 0.297 (0.239)	Data 0.245 (0.173)	Loss 2.7924 (2.5568)	Prec@1 32.031 (38.204)	Prec@5 64.844 (68.007)
Epoch: [74][5770/7045]	Time 0.145 (0.239)	Data 0.093 (0.173)	Loss 2.5869 (2.5568)	Prec@1 38.281 (38.206)	Prec@5 66.406 (68.006)
Epoch: [74][5780/7045]	Time 0.285 (0.239)	Data 0.234 (0.173)	Loss 2.6775 (2.5569)	Prec@1 35.938 (38.206)	Prec@5 64.844 (68.004)
Epoch: [74][5790/7045]	Time 0.127 (0.239)	Data 0.075 (0.173)	Loss 2.4531 (2.5569)	Prec@1 39.844 (38.205)	Prec@5 67.969 (68.004)
Epoch: [74][5800/7045]	Time 0.296 (0.239)	Data 0.244 (0.173)	Loss 2.7493 (2.5570)	Prec@1 32.422 (38.202)	Prec@5 65.234 (68.002)
Epoch: [74][5810/7045]	Time 0.206 (0.239)	Data 0.154 (0.173)	Loss 2.7270 (2.5570)	Prec@1 35.547 (38.203)	Prec@5 63.672 (68.000)
Epoch: [74][5820/7045]	Time 0.203 (0.239)	Data 0.151 (0.173)	Loss 2.7597 (2.5571)	Prec@1 33.984 (38.202)	Prec@5 65.234 (67.998)
Epoch: [74][5830/7045]	Time 0.194 (0.239)	Data 0.144 (0.173)	Loss 2.6448 (2.5571)	Prec@1 36.719 (38.200)	Prec@5 66.406 (67.997)
Epoch: [74][5840/7045]	Time 0.233 (0.239)	Data 0.181 (0.173)	Loss 2.5168 (2.5572)	Prec@1 34.766 (38.198)	Prec@5 72.656 (67.996)
Epoch: [74][5850/7045]	Time 0.248 (0.239)	Data 0.196 (0.173)	Loss 2.5901 (2.5573)	Prec@1 43.750 (38.199)	Prec@5 66.016 (67.995)
Epoch: [74][5860/7045]	Time 0.131 (0.239)	Data 0.080 (0.173)	Loss 2.4898 (2.5573)	Prec@1 36.719 (38.198)	Prec@5 71.875 (67.994)
Epoch: [74][5870/7045]	Time 0.320 (0.239)	Data 0.268 (0.173)	Loss 2.3701 (2.5572)	Prec@1 42.969 (38.198)	Prec@5 73.438 (67.998)
Epoch: [74][5880/7045]	Time 0.102 (0.239)	Data 0.006 (0.173)	Loss 2.5915 (2.5572)	Prec@1 37.109 (38.201)	Prec@5 67.188 (67.999)
Epoch: [74][5890/7045]	Time 0.401 (0.239)	Data 0.349 (0.173)	Loss 2.4586 (2.5571)	Prec@1 38.281 (38.200)	Prec@5 66.406 (68.000)
Epoch: [74][5900/7045]	Time 0.102 (0.239)	Data 0.003 (0.173)	Loss 2.5742 (2.5571)	Prec@1 37.891 (38.201)	Prec@5 66.797 (67.999)
Epoch: [74][5910/7045]	Time 0.450 (0.239)	Data 0.398 (0.173)	Loss 2.7749 (2.5572)	Prec@1 32.031 (38.198)	Prec@5 63.281 (67.996)
Epoch: [74][5920/7045]	Time 0.108 (0.239)	Data 0.006 (0.173)	Loss 2.6128 (2.5573)	Prec@1 35.547 (38.197)	Prec@5 68.359 (67.997)
Epoch: [74][5930/7045]	Time 0.338 (0.239)	Data 0.286 (0.173)	Loss 2.5914 (2.5573)	Prec@1 36.719 (38.198)	Prec@5 69.922 (67.997)
Epoch: [74][5940/7045]	Time 0.102 (0.239)	Data 0.004 (0.173)	Loss 2.5738 (2.5574)	Prec@1 38.281 (38.197)	Prec@5 72.266 (67.997)
Epoch: [74][5950/7045]	Time 0.238 (0.239)	Data 0.185 (0.173)	Loss 2.5663 (2.5575)	Prec@1 32.812 (38.195)	Prec@5 69.531 (67.995)
Epoch: [74][5960/7045]	Time 0.102 (0.239)	Data 0.002 (0.173)	Loss 2.5403 (2.5575)	Prec@1 39.844 (38.195)	Prec@5 67.188 (67.992)
Epoch: [74][5970/7045]	Time 0.264 (0.239)	Data 0.212 (0.173)	Loss 2.6106 (2.5575)	Prec@1 37.500 (38.194)	Prec@5 66.016 (67.992)
Epoch: [74][5980/7045]	Time 0.102 (0.239)	Data 0.001 (0.173)	Loss 2.6345 (2.5575)	Prec@1 32.031 (38.194)	Prec@5 68.359 (67.991)
Epoch: [74][5990/7045]	Time 0.334 (0.239)	Data 0.283 (0.173)	Loss 2.3942 (2.5575)	Prec@1 38.672 (38.195)	Prec@5 71.484 (67.990)
Epoch: [74][6000/7045]	Time 0.102 (0.239)	Data 0.005 (0.173)	Loss 2.6959 (2.5576)	Prec@1 37.109 (38.194)	Prec@5 66.406 (67.989)
Epoch: [74][6010/7045]	Time 0.294 (0.239)	Data 0.243 (0.173)	Loss 2.5233 (2.5576)	Prec@1 37.891 (38.194)	Prec@5 71.094 (67.990)
Epoch: [74][6020/7045]	Time 0.102 (0.239)	Data 0.006 (0.173)	Loss 2.5922 (2.5576)	Prec@1 39.062 (38.193)	Prec@5 66.016 (67.990)
Epoch: [74][6030/7045]	Time 0.242 (0.239)	Data 0.189 (0.173)	Loss 2.6025 (2.5575)	Prec@1 37.500 (38.194)	Prec@5 65.234 (67.990)
Epoch: [74][6040/7045]	Time 0.103 (0.239)	Data 0.005 (0.173)	Loss 2.6779 (2.5575)	Prec@1 41.016 (38.197)	Prec@5 64.062 (67.990)
Epoch: [74][6050/7045]	Time 0.249 (0.239)	Data 0.197 (0.173)	Loss 2.5323 (2.5575)	Prec@1 38.672 (38.197)	Prec@5 71.875 (67.990)
Epoch: [74][6060/7045]	Time 0.111 (0.239)	Data 0.059 (0.173)	Loss 2.1884 (2.5575)	Prec@1 44.141 (38.198)	Prec@5 74.609 (67.989)
Epoch: [74][6070/7045]	Time 0.348 (0.239)	Data 0.296 (0.173)	Loss 2.8886 (2.5574)	Prec@1 32.031 (38.199)	Prec@5 60.547 (67.991)
Epoch: [74][6080/7045]	Time 0.110 (0.239)	Data 0.006 (0.173)	Loss 2.7109 (2.5576)	Prec@1 34.375 (38.197)	Prec@5 64.844 (67.988)
Epoch: [74][6090/7045]	Time 0.446 (0.239)	Data 0.394 (0.173)	Loss 2.5645 (2.5576)	Prec@1 38.281 (38.195)	Prec@5 69.922 (67.989)
Epoch: [74][6100/7045]	Time 0.107 (0.239)	Data 0.054 (0.173)	Loss 2.3795 (2.5576)	Prec@1 42.188 (38.194)	Prec@5 69.141 (67.989)
Epoch: [74][6110/7045]	Time 0.319 (0.239)	Data 0.266 (0.173)	Loss 2.5395 (2.5576)	Prec@1 37.109 (38.194)	Prec@5 69.531 (67.987)
Epoch: [74][6120/7045]	Time 0.105 (0.239)	Data 0.053 (0.173)	Loss 2.7443 (2.5576)	Prec@1 35.938 (38.194)	Prec@5 64.453 (67.989)
Epoch: [74][6130/7045]	Time 0.391 (0.239)	Data 0.339 (0.173)	Loss 2.4840 (2.5575)	Prec@1 38.281 (38.195)	Prec@5 67.969 (67.990)
Epoch: [74][6140/7045]	Time 0.108 (0.239)	Data 0.055 (0.173)	Loss 2.4016 (2.5576)	Prec@1 40.234 (38.195)	Prec@5 73.047 (67.991)
Epoch: [74][6150/7045]	Time 0.451 (0.239)	Data 0.398 (0.173)	Loss 2.5501 (2.5575)	Prec@1 37.891 (38.195)	Prec@5 65.625 (67.991)
Epoch: [74][6160/7045]	Time 0.125 (0.239)	Data 0.072 (0.173)	Loss 2.4367 (2.5576)	Prec@1 39.844 (38.192)	Prec@5 68.750 (67.989)
Epoch: [74][6170/7045]	Time 0.278 (0.239)	Data 0.224 (0.173)	Loss 2.4487 (2.5577)	Prec@1 41.406 (38.190)	Prec@5 70.312 (67.988)
Epoch: [74][6180/7045]	Time 0.101 (0.239)	Data 0.045 (0.173)	Loss 2.5859 (2.5576)	Prec@1 38.672 (38.193)	Prec@5 65.234 (67.989)
Epoch: [74][6190/7045]	Time 0.256 (0.239)	Data 0.203 (0.173)	Loss 2.2794 (2.5576)	Prec@1 42.969 (38.193)	Prec@5 74.609 (67.990)
Epoch: [74][6200/7045]	Time 0.102 (0.239)	Data 0.003 (0.173)	Loss 2.4984 (2.5576)	Prec@1 46.484 (38.194)	Prec@5 73.438 (67.990)
Epoch: [74][6210/7045]	Time 0.342 (0.239)	Data 0.284 (0.173)	Loss 2.6993 (2.5577)	Prec@1 33.594 (38.192)	Prec@5 67.969 (67.988)
Epoch: [74][6220/7045]	Time 0.102 (0.239)	Data 0.001 (0.173)	Loss 2.5044 (2.5577)	Prec@1 39.453 (38.192)	Prec@5 69.141 (67.989)
Epoch: [74][6230/7045]	Time 0.414 (0.239)	Data 0.363 (0.173)	Loss 2.3773 (2.5577)	Prec@1 41.016 (38.190)	Prec@5 72.266 (67.987)
Epoch: [74][6240/7045]	Time 0.103 (0.239)	Data 0.001 (0.173)	Loss 2.5967 (2.5577)	Prec@1 36.328 (38.190)	Prec@5 67.969 (67.988)
Epoch: [74][6250/7045]	Time 0.398 (0.239)	Data 0.346 (0.173)	Loss 2.2808 (2.5578)	Prec@1 43.750 (38.189)	Prec@5 71.094 (67.986)
Epoch: [74][6260/7045]	Time 0.111 (0.239)	Data 0.059 (0.173)	Loss 2.4578 (2.5577)	Prec@1 41.016 (38.190)	Prec@5 67.578 (67.989)
Epoch: [74][6270/7045]	Time 0.407 (0.239)	Data 0.355 (0.173)	Loss 2.5334 (2.5577)	Prec@1 39.844 (38.190)	Prec@5 71.094 (67.989)
Epoch: [74][6280/7045]	Time 0.104 (0.239)	Data 0.051 (0.173)	Loss 2.3814 (2.5577)	Prec@1 42.578 (38.189)	Prec@5 71.875 (67.988)
Epoch: [74][6290/7045]	Time 0.421 (0.239)	Data 0.364 (0.173)	Loss 2.4855 (2.5576)	Prec@1 39.062 (38.193)	Prec@5 71.094 (67.990)
Epoch: [74][6300/7045]	Time 0.109 (0.239)	Data 0.057 (0.173)	Loss 2.6036 (2.5577)	Prec@1 35.547 (38.192)	Prec@5 68.359 (67.989)
Epoch: [74][6310/7045]	Time 0.434 (0.239)	Data 0.381 (0.173)	Loss 2.6276 (2.5577)	Prec@1 37.109 (38.192)	Prec@5 63.281 (67.988)
Epoch: [74][6320/7045]	Time 0.106 (0.239)	Data 0.053 (0.173)	Loss 2.2892 (2.5577)	Prec@1 41.016 (38.193)	Prec@5 71.875 (67.990)
Epoch: [74][6330/7045]	Time 0.412 (0.239)	Data 0.360 (0.173)	Loss 2.5911 (2.5577)	Prec@1 36.328 (38.192)	Prec@5 67.188 (67.990)
Epoch: [74][6340/7045]	Time 0.194 (0.239)	Data 0.142 (0.173)	Loss 2.6635 (2.5577)	Prec@1 34.375 (38.193)	Prec@5 64.844 (67.989)
Epoch: [74][6350/7045]	Time 0.393 (0.239)	Data 0.341 (0.173)	Loss 2.5967 (2.5577)	Prec@1 35.547 (38.192)	Prec@5 65.625 (67.988)
Epoch: [74][6360/7045]	Time 0.109 (0.239)	Data 0.056 (0.173)	Loss 2.5757 (2.5577)	Prec@1 37.891 (38.193)	Prec@5 67.578 (67.987)
Epoch: [74][6370/7045]	Time 0.328 (0.239)	Data 0.276 (0.173)	Loss 2.6152 (2.5577)	Prec@1 33.984 (38.194)	Prec@5 66.406 (67.989)
Epoch: [74][6380/7045]	Time 0.164 (0.239)	Data 0.113 (0.173)	Loss 2.5595 (2.5576)	Prec@1 37.500 (38.192)	Prec@5 69.141 (67.990)
Epoch: [74][6390/7045]	Time 0.216 (0.239)	Data 0.165 (0.173)	Loss 2.4776 (2.5576)	Prec@1 41.016 (38.190)	Prec@5 67.969 (67.990)
Epoch: [74][6400/7045]	Time 0.149 (0.239)	Data 0.098 (0.173)	Loss 2.7069 (2.5577)	Prec@1 37.891 (38.189)	Prec@5 63.281 (67.991)
Epoch: [74][6410/7045]	Time 0.205 (0.239)	Data 0.153 (0.173)	Loss 2.7474 (2.5578)	Prec@1 36.328 (38.188)	Prec@5 66.406 (67.988)
Epoch: [74][6420/7045]	Time 0.315 (0.239)	Data 0.262 (0.173)	Loss 2.4787 (2.5577)	Prec@1 40.234 (38.188)	Prec@5 71.875 (67.990)
Epoch: [74][6430/7045]	Time 0.103 (0.239)	Data 0.005 (0.173)	Loss 2.5258 (2.5576)	Prec@1 38.281 (38.189)	Prec@5 66.797 (67.990)
Epoch: [74][6440/7045]	Time 0.296 (0.239)	Data 0.244 (0.173)	Loss 2.6189 (2.5577)	Prec@1 34.766 (38.190)	Prec@5 66.016 (67.989)
Epoch: [74][6450/7045]	Time 0.108 (0.239)	Data 0.006 (0.173)	Loss 2.5373 (2.5578)	Prec@1 38.281 (38.188)	Prec@5 68.750 (67.988)
Epoch: [74][6460/7045]	Time 0.317 (0.239)	Data 0.263 (0.173)	Loss 2.4514 (2.5578)	Prec@1 38.281 (38.186)	Prec@5 69.922 (67.987)
Epoch: [74][6470/7045]	Time 0.102 (0.239)	Data 0.001 (0.173)	Loss 2.6561 (2.5578)	Prec@1 34.766 (38.185)	Prec@5 67.188 (67.986)
Epoch: [74][6480/7045]	Time 0.389 (0.239)	Data 0.337 (0.173)	Loss 2.4961 (2.5578)	Prec@1 35.547 (38.185)	Prec@5 66.797 (67.988)
Epoch: [74][6490/7045]	Time 0.102 (0.239)	Data 0.003 (0.173)	Loss 2.4322 (2.5578)	Prec@1 42.969 (38.184)	Prec@5 70.703 (67.986)
Epoch: [74][6500/7045]	Time 0.336 (0.239)	Data 0.284 (0.173)	Loss 2.6039 (2.5577)	Prec@1 41.016 (38.186)	Prec@5 67.188 (67.988)
Epoch: [74][6510/7045]	Time 0.109 (0.239)	Data 0.006 (0.173)	Loss 2.4083 (2.5576)	Prec@1 43.359 (38.188)	Prec@5 70.703 (67.989)
Epoch: [74][6520/7045]	Time 0.301 (0.239)	Data 0.248 (0.173)	Loss 2.5406 (2.5576)	Prec@1 37.500 (38.190)	Prec@5 68.750 (67.989)
Epoch: [74][6530/7045]	Time 0.111 (0.239)	Data 0.058 (0.173)	Loss 2.4936 (2.5576)	Prec@1 39.062 (38.191)	Prec@5 70.703 (67.989)
Epoch: [74][6540/7045]	Time 0.213 (0.239)	Data 0.162 (0.173)	Loss 2.4962 (2.5576)	Prec@1 35.156 (38.189)	Prec@5 68.750 (67.987)
Epoch: [74][6550/7045]	Time 0.112 (0.239)	Data 0.059 (0.173)	Loss 2.6096 (2.5576)	Prec@1 35.547 (38.188)	Prec@5 66.406 (67.987)
Epoch: [74][6560/7045]	Time 0.254 (0.239)	Data 0.203 (0.173)	Loss 2.5812 (2.5577)	Prec@1 35.547 (38.187)	Prec@5 70.703 (67.986)
Epoch: [74][6570/7045]	Time 0.102 (0.239)	Data 0.001 (0.173)	Loss 2.4976 (2.5577)	Prec@1 42.188 (38.187)	Prec@5 67.188 (67.986)
Epoch: [74][6580/7045]	Time 0.156 (0.239)	Data 0.104 (0.173)	Loss 2.4479 (2.5577)	Prec@1 39.062 (38.186)	Prec@5 68.750 (67.985)
Epoch: [74][6590/7045]	Time 0.102 (0.239)	Data 0.001 (0.173)	Loss 2.6663 (2.5577)	Prec@1 35.156 (38.184)	Prec@5 68.750 (67.985)
Epoch: [74][6600/7045]	Time 0.233 (0.239)	Data 0.181 (0.173)	Loss 2.7355 (2.5578)	Prec@1 35.938 (38.182)	Prec@5 64.453 (67.983)
Epoch: [74][6610/7045]	Time 0.102 (0.239)	Data 0.006 (0.173)	Loss 2.3459 (2.5578)	Prec@1 45.703 (38.182)	Prec@5 69.531 (67.982)
Epoch: [74][6620/7045]	Time 0.175 (0.239)	Data 0.123 (0.173)	Loss 2.5752 (2.5578)	Prec@1 39.062 (38.181)	Prec@5 67.969 (67.982)
Epoch: [74][6630/7045]	Time 0.102 (0.239)	Data 0.001 (0.173)	Loss 2.6556 (2.5578)	Prec@1 37.500 (38.183)	Prec@5 63.281 (67.982)
Epoch: [74][6640/7045]	Time 0.107 (0.239)	Data 0.053 (0.173)	Loss 2.5323 (2.5579)	Prec@1 37.891 (38.180)	Prec@5 69.922 (67.981)
Epoch: [74][6650/7045]	Time 0.101 (0.239)	Data 0.001 (0.173)	Loss 2.4434 (2.5579)	Prec@1 38.281 (38.179)	Prec@5 71.484 (67.982)
Epoch: [74][6660/7045]	Time 0.108 (0.239)	Data 0.054 (0.173)	Loss 2.5256 (2.5579)	Prec@1 41.016 (38.180)	Prec@5 68.359 (67.981)
Epoch: [74][6670/7045]	Time 0.106 (0.239)	Data 0.053 (0.173)	Loss 2.4676 (2.5580)	Prec@1 37.500 (38.179)	Prec@5 71.875 (67.980)
Epoch: [74][6680/7045]	Time 0.123 (0.239)	Data 0.072 (0.173)	Loss 2.4147 (2.5580)	Prec@1 40.625 (38.178)	Prec@5 68.750 (67.981)
Epoch: [74][6690/7045]	Time 0.105 (0.239)	Data 0.052 (0.173)	Loss 2.5913 (2.5580)	Prec@1 37.891 (38.179)	Prec@5 67.578 (67.980)
Epoch: [74][6700/7045]	Time 0.188 (0.239)	Data 0.130 (0.173)	Loss 2.5757 (2.5581)	Prec@1 36.719 (38.179)	Prec@5 66.406 (67.979)
Epoch: [74][6710/7045]	Time 0.104 (0.239)	Data 0.051 (0.173)	Loss 2.4988 (2.5581)	Prec@1 37.109 (38.178)	Prec@5 67.188 (67.978)
Epoch: [74][6720/7045]	Time 0.167 (0.239)	Data 0.105 (0.173)	Loss 2.3999 (2.5580)	Prec@1 42.188 (38.179)	Prec@5 69.922 (67.978)
Epoch: [74][6730/7045]	Time 0.101 (0.239)	Data 0.004 (0.173)	Loss 2.6028 (2.5581)	Prec@1 38.281 (38.180)	Prec@5 67.578 (67.977)
Epoch: [74][6740/7045]	Time 0.129 (0.239)	Data 0.077 (0.173)	Loss 2.7848 (2.5581)	Prec@1 34.375 (38.177)	Prec@5 65.625 (67.976)
Epoch: [74][6750/7045]	Time 0.104 (0.239)	Data 0.052 (0.173)	Loss 2.4852 (2.5580)	Prec@1 39.844 (38.180)	Prec@5 72.656 (67.978)
Epoch: [74][6760/7045]	Time 0.112 (0.239)	Data 0.052 (0.173)	Loss 2.5263 (2.5580)	Prec@1 37.891 (38.180)	Prec@5 69.531 (67.979)
Epoch: [74][6770/7045]	Time 0.231 (0.239)	Data 0.180 (0.173)	Loss 2.4757 (2.5580)	Prec@1 39.062 (38.181)	Prec@5 69.141 (67.980)
Epoch: [74][6780/7045]	Time 0.109 (0.239)	Data 0.005 (0.173)	Loss 2.5062 (2.5580)	Prec@1 38.672 (38.179)	Prec@5 66.406 (67.980)
Epoch: [74][6790/7045]	Time 0.306 (0.239)	Data 0.253 (0.173)	Loss 2.8549 (2.5579)	Prec@1 33.203 (38.180)	Prec@5 59.375 (67.980)
Epoch: [74][6800/7045]	Time 0.097 (0.239)	Data 0.001 (0.173)	Loss 2.5310 (2.5580)	Prec@1 36.328 (38.175)	Prec@5 71.094 (67.979)
Epoch: [74][6810/7045]	Time 0.295 (0.239)	Data 0.243 (0.173)	Loss 2.4438 (2.5580)	Prec@1 39.844 (38.173)	Prec@5 70.312 (67.979)
Epoch: [74][6820/7045]	Time 0.100 (0.239)	Data 0.005 (0.173)	Loss 2.5246 (2.5580)	Prec@1 40.625 (38.174)	Prec@5 69.531 (67.980)
Epoch: [74][6830/7045]	Time 0.282 (0.239)	Data 0.231 (0.173)	Loss 2.4652 (2.5580)	Prec@1 38.281 (38.173)	Prec@5 70.312 (67.980)
Epoch: [74][6840/7045]	Time 0.101 (0.239)	Data 0.007 (0.173)	Loss 2.5481 (2.5579)	Prec@1 39.453 (38.174)	Prec@5 69.141 (67.981)
Epoch: [74][6850/7045]	Time 0.328 (0.239)	Data 0.276 (0.173)	Loss 2.7419 (2.5579)	Prec@1 35.547 (38.173)	Prec@5 65.625 (67.981)
Epoch: [74][6860/7045]	Time 0.109 (0.239)	Data 0.056 (0.173)	Loss 2.6285 (2.5580)	Prec@1 34.766 (38.171)	Prec@5 69.531 (67.979)
Epoch: [74][6870/7045]	Time 0.284 (0.239)	Data 0.232 (0.173)	Loss 2.2928 (2.5579)	Prec@1 46.484 (38.174)	Prec@5 71.484 (67.981)
Epoch: [74][6880/7045]	Time 0.102 (0.239)	Data 0.002 (0.173)	Loss 2.6103 (2.5578)	Prec@1 37.891 (38.173)	Prec@5 67.188 (67.980)
Epoch: [74][6890/7045]	Time 0.203 (0.239)	Data 0.151 (0.173)	Loss 2.5085 (2.5578)	Prec@1 42.188 (38.171)	Prec@5 68.750 (67.979)
Epoch: [74][6900/7045]	Time 0.101 (0.239)	Data 0.005 (0.173)	Loss 2.5199 (2.5578)	Prec@1 38.281 (38.173)	Prec@5 68.750 (67.981)
Epoch: [74][6910/7045]	Time 0.257 (0.239)	Data 0.204 (0.173)	Loss 2.5658 (2.5578)	Prec@1 37.891 (38.171)	Prec@5 65.234 (67.980)
Epoch: [74][6920/7045]	Time 0.102 (0.239)	Data 0.001 (0.173)	Loss 2.6165 (2.5578)	Prec@1 33.984 (38.170)	Prec@5 69.922 (67.980)
Epoch: [74][6930/7045]	Time 0.233 (0.239)	Data 0.181 (0.173)	Loss 2.4177 (2.5578)	Prec@1 38.281 (38.170)	Prec@5 71.875 (67.981)
Epoch: [74][6940/7045]	Time 0.102 (0.239)	Data 0.001 (0.173)	Loss 2.4625 (2.5578)	Prec@1 38.672 (38.168)	Prec@5 71.484 (67.982)
Epoch: [74][6950/7045]	Time 0.240 (0.239)	Data 0.187 (0.173)	Loss 2.6102 (2.5578)	Prec@1 35.547 (38.167)	Prec@5 66.406 (67.981)
Epoch: [74][6960/7045]	Time 0.102 (0.239)	Data 0.003 (0.173)	Loss 2.5090 (2.5577)	Prec@1 36.719 (38.167)	Prec@5 67.578 (67.983)
Epoch: [74][6970/7045]	Time 0.247 (0.239)	Data 0.194 (0.173)	Loss 2.6045 (2.5577)	Prec@1 37.109 (38.168)	Prec@5 64.062 (67.985)
Epoch: [74][6980/7045]	Time 0.112 (0.239)	Data 0.060 (0.173)	Loss 2.8312 (2.5577)	Prec@1 36.719 (38.169)	Prec@5 64.844 (67.986)
Epoch: [74][6990/7045]	Time 0.247 (0.239)	Data 0.195 (0.173)	Loss 2.6995 (2.5577)	Prec@1 32.422 (38.168)	Prec@5 68.359 (67.986)
Epoch: [74][7000/7045]	Time 0.109 (0.239)	Data 0.004 (0.173)	Loss 2.6707 (2.5578)	Prec@1 34.766 (38.166)	Prec@5 65.625 (67.984)
Epoch: [74][7010/7045]	Time 0.226 (0.239)	Data 0.175 (0.173)	Loss 2.5346 (2.5577)	Prec@1 39.062 (38.166)	Prec@5 67.578 (67.985)
Epoch: [74][7020/7045]	Time 0.107 (0.239)	Data 0.004 (0.173)	Loss 2.4605 (2.5577)	Prec@1 39.844 (38.165)	Prec@5 71.875 (67.985)
Epoch: [74][7030/7045]	Time 0.217 (0.239)	Data 0.165 (0.173)	Loss 2.5866 (2.5577)	Prec@1 41.016 (38.167)	Prec@5 65.234 (67.985)
Epoch: [74][7040/7045]	Time 0.101 (0.239)	Data 0.000 (0.173)	Loss 2.8007 (2.5577)	Prec@1 35.156 (38.168)	Prec@5 63.281 (67.986)
Test: [0/143]	Time 1.108 (1.108)	Loss 2.1882 (2.1882)	Prec@1 48.828 (48.828)	Prec@5 74.219 (74.219)
Test: [10/143]	Time 0.068 (0.241)	Loss 1.6914 (2.0290)	Prec@1 59.375 (49.396)	Prec@5 83.203 (78.196)
Test: [20/143]	Time 0.307 (0.218)	Loss 2.1630 (2.0257)	Prec@1 47.656 (47.917)	Prec@5 76.562 (78.664)
Test: [30/143]	Time 0.187 (0.200)	Loss 2.1994 (2.0389)	Prec@1 46.484 (48.110)	Prec@5 70.703 (77.986)
Test: [40/143]	Time 0.110 (0.197)	Loss 2.7265 (2.0785)	Prec@1 26.562 (47.056)	Prec@5 66.797 (77.144)
Test: [50/143]	Time 0.108 (0.190)	Loss 1.9706 (2.1247)	Prec@1 43.359 (45.473)	Prec@5 81.641 (76.739)
Test: [60/143]	Time 0.231 (0.189)	Loss 2.3979 (2.1170)	Prec@1 35.156 (45.658)	Prec@5 73.438 (76.940)
Test: [70/143]	Time 0.173 (0.187)	Loss 3.0065 (2.1065)	Prec@1 25.000 (45.912)	Prec@5 60.938 (77.157)
Test: [80/143]	Time 0.129 (0.184)	Loss 1.9787 (2.0943)	Prec@1 49.219 (46.253)	Prec@5 81.250 (77.503)
Test: [90/143]	Time 0.250 (0.183)	Loss 1.7511 (2.0861)	Prec@1 55.078 (46.433)	Prec@5 88.281 (77.679)
Test: [100/143]	Time 0.229 (0.183)	Loss 1.9952 (2.0876)	Prec@1 52.734 (46.395)	Prec@5 80.859 (77.773)
Test: [110/143]	Time 0.120 (0.180)	Loss 1.8655 (2.0806)	Prec@1 52.734 (46.720)	Prec@5 81.250 (77.946)
Test: [120/143]	Time 0.149 (0.180)	Loss 1.7050 (2.0705)	Prec@1 57.812 (47.014)	Prec@5 85.938 (78.064)
Test: [130/143]	Time 0.249 (0.180)	Loss 1.5213 (2.0772)	Prec@1 65.625 (46.964)	Prec@5 82.031 (77.851)
Test: [140/143]	Time 0.061 (0.178)	Loss 3.1128 (2.1039)	Prec@1 20.703 (46.324)	Prec@5 60.156 (77.344)
 * Prec@1 46.340 Prec@5 77.345
Epoch: [75][0/7045]	Time 2.410 (2.410)	Data 2.347 (2.347)	Loss 2.5941 (2.5941)	Prec@1 37.109 (37.109)	Prec@5 66.406 (66.406)
Epoch: [75][10/7045]	Time 0.373 (0.438)	Data 0.322 (0.363)	Loss 2.4868 (2.4636)	Prec@1 41.797 (39.276)	Prec@5 68.359 (69.354)
Epoch: [75][20/7045]	Time 0.370 (0.349)	Data 0.319 (0.276)	Loss 2.5322 (2.4995)	Prec@1 38.281 (39.174)	Prec@5 67.578 (69.066)
Epoch: [75][30/7045]	Time 0.409 (0.316)	Data 0.358 (0.246)	Loss 2.7950 (2.5238)	Prec@1 33.594 (38.659)	Prec@5 62.891 (68.712)
Epoch: [75][40/7045]	Time 0.102 (0.298)	Data 0.002 (0.228)	Loss 2.7736 (2.5254)	Prec@1 34.766 (38.329)	Prec@5 62.500 (68.712)
Epoch: [75][50/7045]	Time 0.108 (0.296)	Data 0.001 (0.225)	Loss 2.6239 (2.5385)	Prec@1 35.938 (38.159)	Prec@5 68.750 (68.528)
Epoch: [75][60/7045]	Time 0.229 (0.283)	Data 0.177 (0.212)	Loss 2.8286 (2.5402)	Prec@1 36.719 (38.313)	Prec@5 60.547 (68.129)
Epoch: [75][70/7045]	Time 0.117 (0.281)	Data 0.065 (0.209)	Loss 2.7056 (2.5289)	Prec@1 39.844 (38.600)	Prec@5 66.797 (68.447)
Epoch: [75][80/7045]	Time 0.581 (0.280)	Data 0.529 (0.207)	Loss 2.3426 (2.5233)	Prec@1 38.672 (38.682)	Prec@5 69.531 (68.538)
Epoch: [75][90/7045]	Time 0.215 (0.273)	Data 0.163 (0.200)	Loss 2.4907 (2.5235)	Prec@1 35.938 (38.758)	Prec@5 68.359 (68.445)
Epoch: [75][100/7045]	Time 0.363 (0.271)	Data 0.312 (0.198)	Loss 2.6381 (2.5305)	Prec@1 37.109 (38.625)	Prec@5 62.891 (68.386)
Epoch: [75][110/7045]	Time 0.559 (0.270)	Data 0.500 (0.197)	Loss 2.8196 (2.5359)	Prec@1 30.859 (38.514)	Prec@5 66.016 (68.317)
Epoch: [75][120/7045]	Time 0.110 (0.266)	Data 0.005 (0.194)	Loss 2.4992 (2.5384)	Prec@1 35.938 (38.527)	Prec@5 70.703 (68.275)
Epoch: [75][130/7045]	Time 0.662 (0.267)	Data 0.603 (0.195)	Loss 2.3946 (2.5348)	Prec@1 40.625 (38.573)	Prec@5 72.656 (68.365)
Epoch: [75][140/7045]	Time 0.103 (0.263)	Data 0.006 (0.191)	Loss 2.5120 (2.5315)	Prec@1 38.281 (38.594)	Prec@5 72.266 (68.431)
Epoch: [75][150/7045]	Time 0.272 (0.264)	Data 0.221 (0.192)	Loss 2.3115 (2.5281)	Prec@1 41.797 (38.633)	Prec@5 71.875 (68.509)
Epoch: [75][160/7045]	Time 0.102 (0.261)	Data 0.007 (0.189)	Loss 2.5316 (2.5275)	Prec@1 37.500 (38.640)	Prec@5 68.359 (68.556)
Epoch: [75][170/7045]	Time 0.102 (0.261)	Data 0.001 (0.189)	Loss 2.5374 (2.5298)	Prec@1 39.062 (38.590)	Prec@5 67.188 (68.474)
Epoch: [75][180/7045]	Time 0.108 (0.261)	Data 0.001 (0.190)	Loss 2.5170 (2.5329)	Prec@1 39.453 (38.564)	Prec@5 68.359 (68.418)
Epoch: [75][190/7045]	Time 0.851 (0.263)	Data 0.791 (0.192)	Loss 2.7067 (2.5351)	Prec@1 36.328 (38.525)	Prec@5 63.672 (68.435)
Epoch: [75][200/7045]	Time 0.360 (0.261)	Data 0.308 (0.190)	Loss 2.4367 (2.5371)	Prec@1 45.312 (38.582)	Prec@5 72.266 (68.412)
Epoch: [75][210/7045]	Time 0.425 (0.261)	Data 0.374 (0.191)	Loss 2.6020 (2.5354)	Prec@1 41.406 (38.566)	Prec@5 67.969 (68.402)
Epoch: [75][220/7045]	Time 0.107 (0.261)	Data 0.003 (0.190)	Loss 2.6322 (2.5382)	Prec@1 37.891 (38.523)	Prec@5 63.281 (68.356)
Epoch: [75][230/7045]	Time 0.100 (0.259)	Data 0.001 (0.188)	Loss 2.7922 (2.5404)	Prec@1 33.594 (38.479)	Prec@5 60.156 (68.266)
Epoch: [75][240/7045]	Time 0.241 (0.259)	Data 0.191 (0.189)	Loss 2.6694 (2.5420)	Prec@1 36.719 (38.445)	Prec@5 63.281 (68.239)
Epoch: [75][250/7045]	Time 0.200 (0.259)	Data 0.142 (0.189)	Loss 2.5571 (2.5431)	Prec@1 39.453 (38.420)	Prec@5 68.750 (68.194)
Epoch: [75][260/7045]	Time 0.102 (0.258)	Data 0.001 (0.189)	Loss 2.5216 (2.5426)	Prec@1 35.938 (38.447)	Prec@5 70.312 (68.223)
Epoch: [75][270/7045]	Time 0.102 (0.258)	Data 0.007 (0.189)	Loss 2.4416 (2.5416)	Prec@1 39.844 (38.477)	Prec@5 70.703 (68.231)
Epoch: [75][280/7045]	Time 0.573 (0.258)	Data 0.516 (0.189)	Loss 2.5574 (2.5418)	Prec@1 38.281 (38.459)	Prec@5 67.969 (68.219)
Epoch: [75][290/7045]	Time 0.110 (0.257)	Data 0.058 (0.188)	Loss 2.7351 (2.5436)	Prec@1 37.500 (38.405)	Prec@5 64.453 (68.206)
Epoch: [75][300/7045]	Time 0.436 (0.257)	Data 0.384 (0.188)	Loss 2.6535 (2.5433)	Prec@1 35.938 (38.372)	Prec@5 67.188 (68.230)
Epoch: [75][310/7045]	Time 0.178 (0.257)	Data 0.119 (0.188)	Loss 2.5138 (2.5430)	Prec@1 39.844 (38.369)	Prec@5 67.969 (68.231)
Epoch: [75][320/7045]	Time 0.102 (0.256)	Data 0.012 (0.187)	Loss 2.4728 (2.5419)	Prec@1 39.062 (38.383)	Prec@5 69.141 (68.257)
Epoch: [75][330/7045]	Time 0.308 (0.256)	Data 0.256 (0.188)	Loss 2.5033 (2.5429)	Prec@1 39.062 (38.384)	Prec@5 69.531 (68.245)
Epoch: [75][340/7045]	Time 0.288 (0.256)	Data 0.237 (0.188)	Loss 2.3895 (2.5441)	Prec@1 39.844 (38.344)	Prec@5 69.141 (68.207)
Epoch: [75][350/7045]	Time 0.242 (0.256)	Data 0.191 (0.188)	Loss 2.5178 (2.5421)	Prec@1 35.156 (38.341)	Prec@5 71.484 (68.255)
Epoch: [75][360/7045]	Time 0.245 (0.255)	Data 0.194 (0.188)	Loss 2.5928 (2.5419)	Prec@1 35.547 (38.325)	Prec@5 67.969 (68.257)
Epoch: [75][370/7045]	Time 0.620 (0.256)	Data 0.568 (0.189)	Loss 2.8558 (2.5444)	Prec@1 34.375 (38.299)	Prec@5 62.109 (68.190)
Epoch: [75][380/7045]	Time 0.102 (0.255)	Data 0.002 (0.188)	Loss 2.4971 (2.5452)	Prec@1 35.156 (38.254)	Prec@5 69.141 (68.185)
Epoch: [75][390/7045]	Time 0.650 (0.256)	Data 0.598 (0.188)	Loss 2.5528 (2.5450)	Prec@1 35.156 (38.256)	Prec@5 66.406 (68.192)
Epoch: [75][400/7045]	Time 0.204 (0.255)	Data 0.152 (0.187)	Loss 2.6059 (2.5446)	Prec@1 32.031 (38.275)	Prec@5 68.750 (68.204)
Epoch: [75][410/7045]	Time 0.363 (0.255)	Data 0.301 (0.188)	Loss 2.5908 (2.5449)	Prec@1 39.062 (38.275)	Prec@5 66.016 (68.203)
Epoch: [75][420/7045]	Time 0.111 (0.254)	Data 0.057 (0.187)	Loss 2.5308 (2.5434)	Prec@1 40.625 (38.297)	Prec@5 68.750 (68.250)
Epoch: [75][430/7045]	Time 0.103 (0.254)	Data 0.007 (0.187)	Loss 2.4515 (2.5435)	Prec@1 42.578 (38.288)	Prec@5 70.312 (68.243)
Epoch: [75][440/7045]	Time 0.102 (0.254)	Data 0.001 (0.186)	Loss 2.3996 (2.5438)	Prec@1 43.750 (38.295)	Prec@5 71.094 (68.241)
Epoch: [75][450/7045]	Time 0.120 (0.254)	Data 0.062 (0.186)	Loss 2.5661 (2.5437)	Prec@1 35.547 (38.299)	Prec@5 71.875 (68.232)
Epoch: [75][460/7045]	Time 0.427 (0.254)	Data 0.368 (0.186)	Loss 2.7089 (2.5442)	Prec@1 39.844 (38.315)	Prec@5 63.281 (68.206)
Epoch: [75][470/7045]	Time 0.249 (0.253)	Data 0.198 (0.186)	Loss 2.5151 (2.5453)	Prec@1 37.500 (38.294)	Prec@5 66.406 (68.169)
Epoch: [75][480/7045]	Time 0.160 (0.254)	Data 0.108 (0.186)	Loss 2.6707 (2.5460)	Prec@1 34.375 (38.286)	Prec@5 66.797 (68.168)
Epoch: [75][490/7045]	Time 0.103 (0.253)	Data 0.001 (0.186)	Loss 2.7157 (2.5469)	Prec@1 33.984 (38.265)	Prec@5 66.406 (68.141)
Epoch: [75][500/7045]	Time 0.325 (0.253)	Data 0.274 (0.186)	Loss 2.4882 (2.5470)	Prec@1 39.062 (38.273)	Prec@5 68.750 (68.137)
Epoch: [75][510/7045]	Time 0.448 (0.253)	Data 0.397 (0.186)	Loss 2.3537 (2.5467)	Prec@1 42.969 (38.271)	Prec@5 69.922 (68.151)
Epoch: [75][520/7045]	Time 0.389 (0.253)	Data 0.337 (0.186)	Loss 2.4160 (2.5473)	Prec@1 42.188 (38.266)	Prec@5 69.922 (68.149)
Epoch: [75][530/7045]	Time 0.109 (0.253)	Data 0.001 (0.186)	Loss 2.2510 (2.5464)	Prec@1 44.141 (38.281)	Prec@5 73.047 (68.163)
Epoch: [75][540/7045]	Time 0.372 (0.253)	Data 0.320 (0.186)	Loss 2.5122 (2.5464)	Prec@1 38.281 (38.266)	Prec@5 67.969 (68.169)
Epoch: [75][550/7045]	Time 0.102 (0.253)	Data 0.004 (0.186)	Loss 2.6290 (2.5467)	Prec@1 34.375 (38.271)	Prec@5 66.406 (68.181)
Epoch: [75][560/7045]	Time 0.514 (0.254)	Data 0.463 (0.187)	Loss 2.6555 (2.5462)	Prec@1 35.547 (38.282)	Prec@5 65.625 (68.205)
Epoch: [75][570/7045]	Time 0.109 (0.253)	Data 0.057 (0.186)	Loss 2.6700 (2.5454)	Prec@1 33.984 (38.282)	Prec@5 63.281 (68.236)
Epoch: [75][580/7045]	Time 0.110 (0.253)	Data 0.058 (0.186)	Loss 2.5732 (2.5450)	Prec@1 38.672 (38.304)	Prec@5 66.016 (68.241)
Epoch: [75][590/7045]	Time 0.102 (0.253)	Data 0.002 (0.186)	Loss 2.5192 (2.5447)	Prec@1 36.328 (38.311)	Prec@5 66.797 (68.243)
Epoch: [75][600/7045]	Time 0.272 (0.253)	Data 0.221 (0.186)	Loss 2.7416 (2.5439)	Prec@1 35.547 (38.338)	Prec@5 68.359 (68.258)
Epoch: [75][610/7045]	Time 0.110 (0.253)	Data 0.001 (0.185)	Loss 2.2673 (2.5435)	Prec@1 44.141 (38.338)	Prec@5 76.562 (68.274)
Epoch: [75][620/7045]	Time 0.193 (0.253)	Data 0.142 (0.185)	Loss 2.5239 (2.5439)	Prec@1 39.453 (38.331)	Prec@5 70.703 (68.280)
Epoch: [75][630/7045]	Time 0.102 (0.253)	Data 0.006 (0.185)	Loss 2.4646 (2.5445)	Prec@1 41.797 (38.320)	Prec@5 69.922 (68.271)
Epoch: [75][640/7045]	Time 0.527 (0.253)	Data 0.475 (0.186)	Loss 2.3749 (2.5444)	Prec@1 43.359 (38.322)	Prec@5 68.750 (68.275)
Epoch: [75][650/7045]	Time 0.163 (0.252)	Data 0.113 (0.185)	Loss 2.6215 (2.5441)	Prec@1 41.016 (38.339)	Prec@5 67.188 (68.284)
Epoch: [75][660/7045]	Time 0.455 (0.253)	Data 0.402 (0.185)	Loss 2.4357 (2.5438)	Prec@1 42.578 (38.335)	Prec@5 70.703 (68.283)
Epoch: [75][670/7045]	Time 0.346 (0.252)	Data 0.294 (0.185)	Loss 2.3945 (2.5442)	Prec@1 42.578 (38.321)	Prec@5 73.828 (68.286)
Epoch: [75][680/7045]	Time 0.102 (0.252)	Data 0.006 (0.185)	Loss 2.5460 (2.5447)	Prec@1 35.156 (38.323)	Prec@5 68.750 (68.276)
Epoch: [75][690/7045]	Time 0.102 (0.252)	Data 0.016 (0.185)	Loss 2.5285 (2.5448)	Prec@1 40.625 (38.338)	Prec@5 67.578 (68.281)
Epoch: [75][700/7045]	Time 0.102 (0.252)	Data 0.005 (0.184)	Loss 2.3993 (2.5449)	Prec@1 37.109 (38.330)	Prec@5 71.484 (68.270)
Epoch: [75][710/7045]	Time 0.378 (0.252)	Data 0.325 (0.185)	Loss 2.6442 (2.5450)	Prec@1 37.109 (38.339)	Prec@5 63.281 (68.253)
Epoch: [75][720/7045]	Time 0.393 (0.252)	Data 0.341 (0.184)	Loss 2.6200 (2.5456)	Prec@1 39.062 (38.338)	Prec@5 67.578 (68.248)
Epoch: [75][730/7045]	Time 0.103 (0.252)	Data 0.001 (0.185)	Loss 2.6343 (2.5450)	Prec@1 38.672 (38.357)	Prec@5 67.188 (68.259)
Epoch: [75][740/7045]	Time 0.515 (0.252)	Data 0.463 (0.184)	Loss 2.6595 (2.5448)	Prec@1 41.797 (38.361)	Prec@5 65.625 (68.263)
Epoch: [75][750/7045]	Time 0.423 (0.252)	Data 0.372 (0.184)	Loss 2.4728 (2.5454)	Prec@1 38.281 (38.351)	Prec@5 70.703 (68.254)
Epoch: [75][760/7045]	Time 0.102 (0.252)	Data 0.001 (0.184)	Loss 2.4249 (2.5451)	Prec@1 37.891 (38.345)	Prec@5 67.969 (68.261)
Epoch: [75][770/7045]	Time 0.634 (0.252)	Data 0.583 (0.184)	Loss 2.4605 (2.5446)	Prec@1 41.406 (38.348)	Prec@5 71.094 (68.282)
Epoch: [75][780/7045]	Time 0.102 (0.252)	Data 0.001 (0.184)	Loss 2.5098 (2.5448)	Prec@1 41.016 (38.347)	Prec@5 69.141 (68.282)
Epoch: [75][790/7045]	Time 0.136 (0.252)	Data 0.084 (0.184)	Loss 2.6148 (2.5449)	Prec@1 37.109 (38.332)	Prec@5 64.844 (68.266)
Epoch: [75][800/7045]	Time 0.112 (0.252)	Data 0.060 (0.184)	Loss 2.5788 (2.5444)	Prec@1 39.844 (38.345)	Prec@5 69.922 (68.286)
Epoch: [75][810/7045]	Time 0.164 (0.252)	Data 0.112 (0.184)	Loss 2.2062 (2.5435)	Prec@1 46.094 (38.351)	Prec@5 77.344 (68.304)
Epoch: [75][820/7045]	Time 0.168 (0.252)	Data 0.117 (0.184)	Loss 2.5551 (2.5437)	Prec@1 38.281 (38.366)	Prec@5 66.406 (68.306)
Epoch: [75][830/7045]	Time 0.496 (0.252)	Data 0.437 (0.184)	Loss 2.4833 (2.5439)	Prec@1 39.062 (38.375)	Prec@5 69.922 (68.306)
Epoch: [75][840/7045]	Time 0.101 (0.252)	Data 0.001 (0.184)	Loss 2.4177 (2.5437)	Prec@1 42.578 (38.376)	Prec@5 68.359 (68.305)
Epoch: [75][850/7045]	Time 0.253 (0.252)	Data 0.202 (0.185)	Loss 2.6286 (2.5440)	Prec@1 35.938 (38.370)	Prec@5 63.672 (68.299)
Epoch: [75][860/7045]	Time 0.428 (0.252)	Data 0.375 (0.184)	Loss 2.7365 (2.5450)	Prec@1 35.547 (38.371)	Prec@5 67.578 (68.282)
Epoch: [75][870/7045]	Time 0.102 (0.252)	Data 0.006 (0.184)	Loss 2.4589 (2.5445)	Prec@1 40.234 (38.387)	Prec@5 69.922 (68.297)
Epoch: [75][880/7045]	Time 0.102 (0.252)	Data 0.049 (0.184)	Loss 2.3785 (2.5448)	Prec@1 41.797 (38.383)	Prec@5 71.484 (68.284)
Epoch: [75][890/7045]	Time 0.102 (0.252)	Data 0.020 (0.184)	Loss 2.7306 (2.5442)	Prec@1 35.547 (38.382)	Prec@5 65.234 (68.298)
Epoch: [75][900/7045]	Time 0.420 (0.252)	Data 0.368 (0.184)	Loss 2.5148 (2.5449)	Prec@1 42.969 (38.384)	Prec@5 72.266 (68.296)
Epoch: [75][910/7045]	Time 0.168 (0.252)	Data 0.108 (0.184)	Loss 2.7101 (2.5453)	Prec@1 36.719 (38.386)	Prec@5 61.719 (68.276)
Epoch: [75][920/7045]	Time 0.108 (0.251)	Data 0.056 (0.184)	Loss 2.5189 (2.5453)	Prec@1 39.844 (38.406)	Prec@5 66.797 (68.275)
Epoch: [75][930/7045]	Time 0.103 (0.251)	Data 0.001 (0.184)	Loss 2.7147 (2.5461)	Prec@1 35.547 (38.402)	Prec@5 63.672 (68.254)
Epoch: [75][940/7045]	Time 0.481 (0.252)	Data 0.418 (0.184)	Loss 2.5919 (2.5459)	Prec@1 41.016 (38.406)	Prec@5 68.359 (68.260)
Epoch: [75][950/7045]	Time 0.095 (0.251)	Data 0.001 (0.184)	Loss 2.4826 (2.5460)	Prec@1 37.109 (38.398)	Prec@5 70.312 (68.248)
Epoch: [75][960/7045]	Time 0.426 (0.251)	Data 0.375 (0.184)	Loss 2.6040 (2.5474)	Prec@1 40.625 (38.369)	Prec@5 67.578 (68.227)
Epoch: [75][970/7045]	Time 0.145 (0.251)	Data 0.093 (0.184)	Loss 2.6366 (2.5476)	Prec@1 37.500 (38.361)	Prec@5 66.016 (68.213)
Epoch: [75][980/7045]	Time 0.416 (0.251)	Data 0.364 (0.184)	Loss 2.4590 (2.5467)	Prec@1 39.844 (38.372)	Prec@5 71.094 (68.235)
Epoch: [75][990/7045]	Time 0.102 (0.251)	Data 0.001 (0.184)	Loss 2.5738 (2.5470)	Prec@1 33.984 (38.365)	Prec@5 67.578 (68.232)
Epoch: [75][1000/7045]	Time 0.497 (0.251)	Data 0.445 (0.184)	Loss 2.6285 (2.5471)	Prec@1 36.719 (38.359)	Prec@5 69.141 (68.231)
Epoch: [75][1010/7045]	Time 0.129 (0.251)	Data 0.076 (0.184)	Loss 2.5396 (2.5470)	Prec@1 38.672 (38.362)	Prec@5 66.016 (68.236)
Epoch: [75][1020/7045]	Time 0.116 (0.251)	Data 0.065 (0.184)	Loss 2.4299 (2.5471)	Prec@1 39.844 (38.360)	Prec@5 67.578 (68.228)
Epoch: [75][1030/7045]	Time 0.111 (0.251)	Data 0.058 (0.184)	Loss 2.5230 (2.5470)	Prec@1 40.234 (38.365)	Prec@5 67.578 (68.229)
Epoch: [75][1040/7045]	Time 0.476 (0.251)	Data 0.424 (0.184)	Loss 2.4881 (2.5470)	Prec@1 40.625 (38.372)	Prec@5 69.531 (68.230)
Epoch: [75][1050/7045]	Time 0.102 (0.251)	Data 0.001 (0.184)	Loss 2.4731 (2.5466)	Prec@1 36.719 (38.376)	Prec@5 70.703 (68.226)
Epoch: [75][1060/7045]	Time 0.219 (0.251)	Data 0.166 (0.184)	Loss 2.6422 (2.5469)	Prec@1 37.109 (38.381)	Prec@5 65.625 (68.216)
Epoch: [75][1070/7045]	Time 0.102 (0.251)	Data 0.022 (0.184)	Loss 2.6269 (2.5468)	Prec@1 38.281 (38.392)	Prec@5 68.359 (68.210)
Epoch: [75][1080/7045]	Time 0.632 (0.251)	Data 0.569 (0.184)	Loss 2.5873 (2.5470)	Prec@1 41.797 (38.398)	Prec@5 67.578 (68.202)
Epoch: [75][1090/7045]	Time 0.319 (0.251)	Data 0.268 (0.184)	Loss 2.4674 (2.5477)	Prec@1 39.062 (38.383)	Prec@5 66.797 (68.186)
Epoch: [75][1100/7045]	Time 0.255 (0.251)	Data 0.196 (0.184)	Loss 2.6964 (2.5482)	Prec@1 34.375 (38.373)	Prec@5 63.672 (68.179)
Epoch: [75][1110/7045]	Time 0.107 (0.251)	Data 0.055 (0.184)	Loss 2.5644 (2.5482)	Prec@1 38.281 (38.378)	Prec@5 68.750 (68.185)
Epoch: [75][1120/7045]	Time 0.176 (0.251)	Data 0.124 (0.184)	Loss 2.5618 (2.5481)	Prec@1 37.109 (38.373)	Prec@5 64.844 (68.189)
Epoch: [75][1130/7045]	Time 0.819 (0.251)	Data 0.765 (0.185)	Loss 2.5942 (2.5484)	Prec@1 36.719 (38.367)	Prec@5 67.578 (68.176)
Epoch: [75][1140/7045]	Time 0.102 (0.251)	Data 0.005 (0.184)	Loss 2.2693 (2.5482)	Prec@1 42.578 (38.380)	Prec@5 75.781 (68.176)
Epoch: [75][1150/7045]	Time 0.101 (0.251)	Data 0.001 (0.184)	Loss 2.5935 (2.5481)	Prec@1 35.938 (38.385)	Prec@5 66.016 (68.173)
Epoch: [75][1160/7045]	Time 0.107 (0.251)	Data 0.054 (0.184)	Loss 2.5511 (2.5482)	Prec@1 37.109 (38.386)	Prec@5 70.312 (68.180)
Epoch: [75][1170/7045]	Time 0.213 (0.251)	Data 0.161 (0.184)	Loss 2.6103 (2.5484)	Prec@1 37.891 (38.385)	Prec@5 64.453 (68.165)
Epoch: [75][1180/7045]	Time 0.263 (0.251)	Data 0.210 (0.185)	Loss 2.3661 (2.5480)	Prec@1 42.188 (38.391)	Prec@5 67.969 (68.175)
Epoch: [75][1190/7045]	Time 0.179 (0.251)	Data 0.127 (0.184)	Loss 2.4654 (2.5475)	Prec@1 37.891 (38.395)	Prec@5 68.750 (68.184)
Epoch: [75][1200/7045]	Time 0.107 (0.251)	Data 0.002 (0.184)	Loss 2.5717 (2.5474)	Prec@1 36.719 (38.389)	Prec@5 67.578 (68.189)
Epoch: [75][1210/7045]	Time 0.633 (0.251)	Data 0.573 (0.185)	Loss 2.7575 (2.5476)	Prec@1 33.984 (38.384)	Prec@5 60.547 (68.182)
Epoch: [75][1220/7045]	Time 0.112 (0.251)	Data 0.060 (0.184)	Loss 2.5732 (2.5481)	Prec@1 33.984 (38.379)	Prec@5 68.750 (68.179)
Epoch: [75][1230/7045]	Time 0.430 (0.251)	Data 0.378 (0.184)	Loss 2.3062 (2.5484)	Prec@1 42.969 (38.379)	Prec@5 72.266 (68.174)
Epoch: [75][1240/7045]	Time 0.279 (0.251)	Data 0.227 (0.184)	Loss 2.5164 (2.5484)	Prec@1 39.062 (38.383)	Prec@5 67.188 (68.173)
Epoch: [75][1250/7045]	Time 0.467 (0.251)	Data 0.415 (0.185)	Loss 2.4395 (2.5485)	Prec@1 40.625 (38.371)	Prec@5 67.969 (68.172)
Epoch: [75][1260/7045]	Time 0.101 (0.251)	Data 0.010 (0.184)	Loss 2.6312 (2.5483)	Prec@1 39.062 (38.363)	Prec@5 68.359 (68.175)
Epoch: [75][1270/7045]	Time 0.103 (0.251)	Data 0.001 (0.184)	Loss 2.5520 (2.5485)	Prec@1 39.844 (38.359)	Prec@5 66.016 (68.173)
Epoch: [75][1280/7045]	Time 0.107 (0.251)	Data 0.004 (0.184)	Loss 2.4460 (2.5487)	Prec@1 39.453 (38.352)	Prec@5 68.750 (68.168)
Epoch: [75][1290/7045]	Time 0.110 (0.250)	Data 0.058 (0.184)	Loss 2.4548 (2.5488)	Prec@1 41.016 (38.356)	Prec@5 69.531 (68.168)
Epoch: [75][1300/7045]	Time 0.220 (0.251)	Data 0.168 (0.184)	Loss 2.5380 (2.5484)	Prec@1 37.891 (38.353)	Prec@5 67.188 (68.175)
Epoch: [75][1310/7045]	Time 0.482 (0.251)	Data 0.430 (0.184)	Loss 2.5988 (2.5486)	Prec@1 33.984 (38.334)	Prec@5 67.969 (68.170)
Epoch: [75][1320/7045]	Time 0.108 (0.250)	Data 0.001 (0.184)	Loss 2.6911 (2.5483)	Prec@1 36.719 (38.335)	Prec@5 66.406 (68.175)
Epoch: [75][1330/7045]	Time 0.331 (0.250)	Data 0.278 (0.184)	Loss 2.4465 (2.5484)	Prec@1 39.844 (38.333)	Prec@5 68.359 (68.171)
Epoch: [75][1340/7045]	Time 0.410 (0.250)	Data 0.358 (0.184)	Loss 2.4701 (2.5482)	Prec@1 40.234 (38.345)	Prec@5 69.531 (68.178)
Epoch: [75][1350/7045]	Time 0.331 (0.250)	Data 0.278 (0.184)	Loss 2.6969 (2.5483)	Prec@1 33.203 (38.343)	Prec@5 64.844 (68.176)
Epoch: [75][1360/7045]	Time 0.358 (0.250)	Data 0.299 (0.184)	Loss 2.6191 (2.5483)	Prec@1 35.156 (38.344)	Prec@5 65.234 (68.179)
Epoch: [75][1370/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 2.4578 (2.5489)	Prec@1 40.625 (38.338)	Prec@5 69.531 (68.161)
Epoch: [75][1380/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 2.5126 (2.5482)	Prec@1 39.844 (38.350)	Prec@5 68.750 (68.175)
Epoch: [75][1390/7045]	Time 0.447 (0.250)	Data 0.389 (0.184)	Loss 2.5237 (2.5482)	Prec@1 36.719 (38.353)	Prec@5 69.141 (68.179)
Epoch: [75][1400/7045]	Time 0.132 (0.250)	Data 0.080 (0.184)	Loss 2.6023 (2.5480)	Prec@1 35.938 (38.353)	Prec@5 66.016 (68.181)
Epoch: [75][1410/7045]	Time 0.107 (0.250)	Data 0.001 (0.184)	Loss 2.4207 (2.5484)	Prec@1 42.578 (38.356)	Prec@5 68.359 (68.176)
Epoch: [75][1420/7045]	Time 0.120 (0.250)	Data 0.069 (0.184)	Loss 2.5174 (2.5483)	Prec@1 39.062 (38.356)	Prec@5 72.656 (68.185)
Epoch: [75][1430/7045]	Time 0.160 (0.250)	Data 0.108 (0.184)	Loss 2.4279 (2.5483)	Prec@1 39.453 (38.357)	Prec@5 71.484 (68.188)
Epoch: [75][1440/7045]	Time 0.249 (0.250)	Data 0.197 (0.184)	Loss 2.5926 (2.5480)	Prec@1 34.766 (38.366)	Prec@5 66.797 (68.194)
Epoch: [75][1450/7045]	Time 0.329 (0.250)	Data 0.278 (0.184)	Loss 2.4922 (2.5482)	Prec@1 40.234 (38.363)	Prec@5 68.359 (68.188)
Epoch: [75][1460/7045]	Time 0.108 (0.250)	Data 0.001 (0.184)	Loss 2.5843 (2.5482)	Prec@1 39.453 (38.368)	Prec@5 65.234 (68.187)
Epoch: [75][1470/7045]	Time 0.244 (0.250)	Data 0.190 (0.184)	Loss 2.5480 (2.5481)	Prec@1 38.281 (38.377)	Prec@5 69.922 (68.185)
Epoch: [75][1480/7045]	Time 0.294 (0.250)	Data 0.244 (0.184)	Loss 2.5807 (2.5484)	Prec@1 34.766 (38.367)	Prec@5 67.969 (68.186)
Epoch: [75][1490/7045]	Time 0.271 (0.250)	Data 0.220 (0.184)	Loss 2.4797 (2.5484)	Prec@1 43.750 (38.370)	Prec@5 69.141 (68.187)
Epoch: [75][1500/7045]	Time 0.232 (0.250)	Data 0.173 (0.184)	Loss 2.4429 (2.5480)	Prec@1 40.234 (38.381)	Prec@5 71.875 (68.193)
Epoch: [75][1510/7045]	Time 0.110 (0.250)	Data 0.001 (0.184)	Loss 2.4081 (2.5482)	Prec@1 37.109 (38.376)	Prec@5 71.484 (68.192)
Epoch: [75][1520/7045]	Time 0.109 (0.250)	Data 0.055 (0.184)	Loss 2.6021 (2.5483)	Prec@1 40.234 (38.376)	Prec@5 68.750 (68.189)
Epoch: [75][1530/7045]	Time 0.310 (0.250)	Data 0.258 (0.184)	Loss 2.6467 (2.5482)	Prec@1 32.422 (38.376)	Prec@5 67.578 (68.196)
Epoch: [75][1540/7045]	Time 0.421 (0.250)	Data 0.370 (0.184)	Loss 2.6591 (2.5478)	Prec@1 33.984 (38.379)	Prec@5 69.141 (68.203)
Epoch: [75][1550/7045]	Time 0.107 (0.250)	Data 0.001 (0.184)	Loss 2.5318 (2.5474)	Prec@1 41.406 (38.391)	Prec@5 68.359 (68.209)
Epoch: [75][1560/7045]	Time 0.553 (0.250)	Data 0.495 (0.184)	Loss 2.5292 (2.5476)	Prec@1 40.234 (38.391)	Prec@5 69.531 (68.205)
Epoch: [75][1570/7045]	Time 0.182 (0.250)	Data 0.131 (0.184)	Loss 2.6050 (2.5479)	Prec@1 35.156 (38.380)	Prec@5 69.531 (68.201)
Epoch: [75][1580/7045]	Time 0.110 (0.250)	Data 0.006 (0.184)	Loss 2.3909 (2.5476)	Prec@1 42.969 (38.380)	Prec@5 71.875 (68.210)
Epoch: [75][1590/7045]	Time 0.115 (0.250)	Data 0.061 (0.184)	Loss 2.7165 (2.5479)	Prec@1 33.203 (38.372)	Prec@5 63.281 (68.198)
Epoch: [75][1600/7045]	Time 0.102 (0.250)	Data 0.003 (0.184)	Loss 2.4640 (2.5481)	Prec@1 38.281 (38.361)	Prec@5 67.969 (68.192)
Epoch: [75][1610/7045]	Time 0.837 (0.250)	Data 0.778 (0.184)	Loss 2.5348 (2.5481)	Prec@1 41.797 (38.364)	Prec@5 67.578 (68.186)
Epoch: [75][1620/7045]	Time 0.218 (0.250)	Data 0.166 (0.184)	Loss 2.4731 (2.5483)	Prec@1 37.109 (38.362)	Prec@5 71.484 (68.185)
Epoch: [75][1630/7045]	Time 0.388 (0.250)	Data 0.332 (0.184)	Loss 2.7331 (2.5480)	Prec@1 34.375 (38.371)	Prec@5 66.797 (68.189)
Epoch: [75][1640/7045]	Time 0.151 (0.250)	Data 0.099 (0.184)	Loss 2.5852 (2.5480)	Prec@1 38.281 (38.370)	Prec@5 68.359 (68.189)
Epoch: [75][1650/7045]	Time 0.178 (0.250)	Data 0.118 (0.184)	Loss 2.6995 (2.5484)	Prec@1 36.328 (38.365)	Prec@5 66.016 (68.179)
Epoch: [75][1660/7045]	Time 0.102 (0.250)	Data 0.015 (0.183)	Loss 2.4270 (2.5483)	Prec@1 39.062 (38.369)	Prec@5 69.531 (68.186)
Epoch: [75][1670/7045]	Time 0.107 (0.250)	Data 0.007 (0.184)	Loss 2.6163 (2.5482)	Prec@1 38.281 (38.369)	Prec@5 66.016 (68.194)
Epoch: [75][1680/7045]	Time 0.602 (0.250)	Data 0.550 (0.184)	Loss 2.6579 (2.5486)	Prec@1 37.109 (38.366)	Prec@5 66.797 (68.186)
Epoch: [75][1690/7045]	Time 0.245 (0.250)	Data 0.192 (0.183)	Loss 2.3513 (2.5483)	Prec@1 46.484 (38.372)	Prec@5 68.359 (68.189)
Epoch: [75][1700/7045]	Time 0.105 (0.250)	Data 0.053 (0.183)	Loss 2.4021 (2.5480)	Prec@1 41.406 (38.373)	Prec@5 70.703 (68.196)
Epoch: [75][1710/7045]	Time 0.104 (0.250)	Data 0.052 (0.183)	Loss 2.4376 (2.5480)	Prec@1 39.062 (38.368)	Prec@5 70.312 (68.202)
Epoch: [75][1720/7045]	Time 0.123 (0.250)	Data 0.071 (0.183)	Loss 2.7231 (2.5483)	Prec@1 30.078 (38.361)	Prec@5 68.750 (68.192)
Epoch: [75][1730/7045]	Time 0.572 (0.250)	Data 0.521 (0.183)	Loss 2.6669 (2.5484)	Prec@1 32.812 (38.360)	Prec@5 67.188 (68.192)
Epoch: [75][1740/7045]	Time 0.103 (0.250)	Data 0.001 (0.183)	Loss 2.6093 (2.5486)	Prec@1 37.109 (38.357)	Prec@5 66.406 (68.181)
Epoch: [75][1750/7045]	Time 0.106 (0.250)	Data 0.053 (0.183)	Loss 2.4346 (2.5483)	Prec@1 39.453 (38.364)	Prec@5 71.094 (68.186)
Epoch: [75][1760/7045]	Time 0.185 (0.249)	Data 0.134 (0.183)	Loss 2.3147 (2.5479)	Prec@1 39.844 (38.378)	Prec@5 75.000 (68.192)
Epoch: [75][1770/7045]	Time 0.303 (0.250)	Data 0.251 (0.183)	Loss 2.4477 (2.5478)	Prec@1 37.500 (38.378)	Prec@5 70.312 (68.196)
Epoch: [75][1780/7045]	Time 0.481 (0.250)	Data 0.421 (0.183)	Loss 2.5624 (2.5478)	Prec@1 41.406 (38.377)	Prec@5 65.625 (68.194)
Epoch: [75][1790/7045]	Time 0.101 (0.250)	Data 0.001 (0.183)	Loss 2.6346 (2.5481)	Prec@1 37.500 (38.375)	Prec@5 66.016 (68.190)
Epoch: [75][1800/7045]	Time 0.366 (0.249)	Data 0.315 (0.183)	Loss 2.5289 (2.5483)	Prec@1 36.328 (38.369)	Prec@5 68.750 (68.187)
Epoch: [75][1810/7045]	Time 0.103 (0.249)	Data 0.001 (0.183)	Loss 2.4869 (2.5485)	Prec@1 37.109 (38.365)	Prec@5 70.703 (68.183)
Epoch: [75][1820/7045]	Time 0.102 (0.250)	Data 0.006 (0.183)	Loss 2.4714 (2.5486)	Prec@1 37.109 (38.369)	Prec@5 67.969 (68.182)
Epoch: [75][1830/7045]	Time 0.706 (0.250)	Data 0.647 (0.183)	Loss 2.5676 (2.5489)	Prec@1 39.062 (38.363)	Prec@5 71.484 (68.177)
Epoch: [75][1840/7045]	Time 0.115 (0.250)	Data 0.064 (0.183)	Loss 2.5329 (2.5491)	Prec@1 39.062 (38.364)	Prec@5 68.359 (68.176)
Epoch: [75][1850/7045]	Time 0.493 (0.250)	Data 0.441 (0.183)	Loss 2.4789 (2.5492)	Prec@1 36.719 (38.361)	Prec@5 68.750 (68.170)
Epoch: [75][1860/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 2.4363 (2.5490)	Prec@1 39.844 (38.360)	Prec@5 68.750 (68.170)
Epoch: [75][1870/7045]	Time 0.107 (0.249)	Data 0.001 (0.183)	Loss 2.5323 (2.5491)	Prec@1 37.891 (38.361)	Prec@5 71.484 (68.168)
Epoch: [75][1880/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.6430 (2.5492)	Prec@1 39.453 (38.363)	Prec@5 62.891 (68.169)
Epoch: [75][1890/7045]	Time 0.108 (0.249)	Data 0.002 (0.183)	Loss 2.7101 (2.5494)	Prec@1 36.328 (38.361)	Prec@5 63.281 (68.169)
Epoch: [75][1900/7045]	Time 0.402 (0.249)	Data 0.350 (0.183)	Loss 2.4165 (2.5494)	Prec@1 41.016 (38.363)	Prec@5 71.875 (68.171)
Epoch: [75][1910/7045]	Time 0.102 (0.249)	Data 0.048 (0.182)	Loss 2.5909 (2.5495)	Prec@1 39.453 (38.363)	Prec@5 68.359 (68.170)
Epoch: [75][1920/7045]	Time 0.102 (0.249)	Data 0.045 (0.182)	Loss 2.1791 (2.5497)	Prec@1 42.969 (38.359)	Prec@5 75.781 (68.167)
Epoch: [75][1930/7045]	Time 0.184 (0.249)	Data 0.132 (0.182)	Loss 2.6549 (2.5495)	Prec@1 38.281 (38.356)	Prec@5 67.188 (68.172)
Epoch: [75][1940/7045]	Time 0.256 (0.249)	Data 0.204 (0.182)	Loss 2.4717 (2.5496)	Prec@1 35.938 (38.349)	Prec@5 69.141 (68.171)
Epoch: [75][1950/7045]	Time 0.444 (0.249)	Data 0.392 (0.182)	Loss 2.4272 (2.5494)	Prec@1 39.062 (38.357)	Prec@5 67.578 (68.174)
Epoch: [75][1960/7045]	Time 0.327 (0.249)	Data 0.276 (0.182)	Loss 2.4816 (2.5492)	Prec@1 37.500 (38.356)	Prec@5 69.531 (68.176)
Epoch: [75][1970/7045]	Time 0.110 (0.249)	Data 0.001 (0.183)	Loss 2.6342 (2.5494)	Prec@1 36.328 (38.353)	Prec@5 66.406 (68.172)
Epoch: [75][1980/7045]	Time 0.259 (0.249)	Data 0.208 (0.183)	Loss 2.3871 (2.5493)	Prec@1 38.672 (38.350)	Prec@5 71.094 (68.173)
Epoch: [75][1990/7045]	Time 0.102 (0.249)	Data 0.048 (0.182)	Loss 2.6482 (2.5492)	Prec@1 37.109 (38.352)	Prec@5 65.625 (68.172)
Epoch: [75][2000/7045]	Time 0.174 (0.249)	Data 0.122 (0.183)	Loss 2.5249 (2.5492)	Prec@1 37.500 (38.346)	Prec@5 68.359 (68.173)
Epoch: [75][2010/7045]	Time 0.484 (0.249)	Data 0.426 (0.183)	Loss 2.6008 (2.5492)	Prec@1 35.156 (38.349)	Prec@5 67.578 (68.169)
Epoch: [75][2020/7045]	Time 0.113 (0.249)	Data 0.061 (0.183)	Loss 2.6216 (2.5493)	Prec@1 32.031 (38.339)	Prec@5 66.797 (68.170)
Epoch: [75][2030/7045]	Time 0.265 (0.249)	Data 0.213 (0.183)	Loss 2.5653 (2.5491)	Prec@1 39.453 (38.342)	Prec@5 66.406 (68.170)
Epoch: [75][2040/7045]	Time 0.335 (0.249)	Data 0.283 (0.183)	Loss 2.4888 (2.5487)	Prec@1 40.625 (38.349)	Prec@5 68.359 (68.176)
Epoch: [75][2050/7045]	Time 0.110 (0.249)	Data 0.058 (0.183)	Loss 2.7459 (2.5490)	Prec@1 34.375 (38.340)	Prec@5 64.844 (68.170)
Epoch: [75][2060/7045]	Time 0.566 (0.249)	Data 0.514 (0.183)	Loss 2.4566 (2.5491)	Prec@1 34.766 (38.338)	Prec@5 68.359 (68.166)
Epoch: [75][2070/7045]	Time 0.110 (0.249)	Data 0.001 (0.183)	Loss 2.5188 (2.5491)	Prec@1 41.406 (38.344)	Prec@5 67.969 (68.164)
Epoch: [75][2080/7045]	Time 0.185 (0.249)	Data 0.133 (0.183)	Loss 2.6930 (2.5494)	Prec@1 35.547 (38.334)	Prec@5 69.922 (68.162)
Epoch: [75][2090/7045]	Time 0.556 (0.249)	Data 0.504 (0.183)	Loss 2.3602 (2.5497)	Prec@1 39.062 (38.329)	Prec@5 75.781 (68.160)
Epoch: [75][2100/7045]	Time 0.190 (0.249)	Data 0.138 (0.183)	Loss 2.5973 (2.5499)	Prec@1 39.453 (38.321)	Prec@5 64.453 (68.151)
Epoch: [75][2110/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 2.4043 (2.5500)	Prec@1 37.891 (38.318)	Prec@5 73.828 (68.152)
Epoch: [75][2120/7045]	Time 0.257 (0.249)	Data 0.206 (0.183)	Loss 2.5374 (2.5500)	Prec@1 35.938 (38.311)	Prec@5 70.312 (68.156)
Epoch: [75][2130/7045]	Time 0.352 (0.249)	Data 0.301 (0.183)	Loss 2.8886 (2.5502)	Prec@1 32.812 (38.308)	Prec@5 60.938 (68.153)
Epoch: [75][2140/7045]	Time 0.253 (0.249)	Data 0.202 (0.183)	Loss 2.7366 (2.5504)	Prec@1 35.938 (38.306)	Prec@5 70.312 (68.155)
Epoch: [75][2150/7045]	Time 0.103 (0.249)	Data 0.044 (0.183)	Loss 2.5950 (2.5504)	Prec@1 37.109 (38.306)	Prec@5 69.922 (68.154)
Epoch: [75][2160/7045]	Time 0.281 (0.249)	Data 0.229 (0.183)	Loss 2.3301 (2.5502)	Prec@1 40.625 (38.304)	Prec@5 73.047 (68.153)
Epoch: [75][2170/7045]	Time 0.174 (0.249)	Data 0.122 (0.183)	Loss 2.5886 (2.5502)	Prec@1 34.375 (38.305)	Prec@5 64.844 (68.151)
Epoch: [75][2180/7045]	Time 0.237 (0.249)	Data 0.185 (0.183)	Loss 2.3708 (2.5501)	Prec@1 43.359 (38.308)	Prec@5 74.219 (68.152)
Epoch: [75][2190/7045]	Time 0.263 (0.249)	Data 0.212 (0.183)	Loss 2.5499 (2.5500)	Prec@1 39.844 (38.314)	Prec@5 66.016 (68.155)
Epoch: [75][2200/7045]	Time 0.539 (0.249)	Data 0.481 (0.183)	Loss 2.8290 (2.5503)	Prec@1 39.453 (38.311)	Prec@5 63.281 (68.146)
Epoch: [75][2210/7045]	Time 0.181 (0.249)	Data 0.129 (0.183)	Loss 2.3263 (2.5504)	Prec@1 44.922 (38.311)	Prec@5 70.703 (68.148)
Epoch: [75][2220/7045]	Time 0.110 (0.249)	Data 0.059 (0.183)	Loss 2.6626 (2.5502)	Prec@1 35.156 (38.313)	Prec@5 65.234 (68.149)
Epoch: [75][2230/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 2.5409 (2.5504)	Prec@1 33.594 (38.301)	Prec@5 67.578 (68.149)
Epoch: [75][2240/7045]	Time 0.341 (0.249)	Data 0.290 (0.183)	Loss 2.5615 (2.5503)	Prec@1 35.156 (38.298)	Prec@5 67.188 (68.148)
Epoch: [75][2250/7045]	Time 0.102 (0.249)	Data 0.011 (0.183)	Loss 2.3818 (2.5504)	Prec@1 37.109 (38.295)	Prec@5 67.578 (68.145)
Epoch: [75][2260/7045]	Time 0.390 (0.249)	Data 0.337 (0.183)	Loss 2.3990 (2.5504)	Prec@1 37.500 (38.292)	Prec@5 69.141 (68.146)
Epoch: [75][2270/7045]	Time 0.103 (0.249)	Data 0.004 (0.183)	Loss 2.7435 (2.5504)	Prec@1 36.719 (38.291)	Prec@5 64.844 (68.146)
Epoch: [75][2280/7045]	Time 0.229 (0.249)	Data 0.177 (0.183)	Loss 2.5474 (2.5503)	Prec@1 37.109 (38.292)	Prec@5 67.188 (68.145)
Epoch: [75][2290/7045]	Time 0.178 (0.249)	Data 0.127 (0.183)	Loss 2.3894 (2.5504)	Prec@1 42.969 (38.293)	Prec@5 73.047 (68.146)
Epoch: [75][2300/7045]	Time 0.303 (0.249)	Data 0.253 (0.183)	Loss 2.4290 (2.5502)	Prec@1 42.578 (38.300)	Prec@5 72.266 (68.151)
Epoch: [75][2310/7045]	Time 0.135 (0.249)	Data 0.084 (0.183)	Loss 2.4754 (2.5500)	Prec@1 38.281 (38.303)	Prec@5 69.531 (68.156)
Epoch: [75][2320/7045]	Time 0.308 (0.249)	Data 0.258 (0.183)	Loss 2.7620 (2.5502)	Prec@1 28.906 (38.297)	Prec@5 65.234 (68.155)
Epoch: [75][2330/7045]	Time 0.101 (0.249)	Data 0.048 (0.183)	Loss 2.2886 (2.5500)	Prec@1 42.578 (38.291)	Prec@5 73.047 (68.162)
Epoch: [75][2340/7045]	Time 0.301 (0.249)	Data 0.249 (0.183)	Loss 2.6747 (2.5499)	Prec@1 39.453 (38.297)	Prec@5 64.453 (68.162)
Epoch: [75][2350/7045]	Time 0.535 (0.249)	Data 0.483 (0.183)	Loss 2.4782 (2.5498)	Prec@1 41.016 (38.297)	Prec@5 66.797 (68.161)
Epoch: [75][2360/7045]	Time 0.251 (0.249)	Data 0.201 (0.183)	Loss 2.2598 (2.5498)	Prec@1 46.875 (38.303)	Prec@5 72.656 (68.160)
Epoch: [75][2370/7045]	Time 0.324 (0.249)	Data 0.271 (0.183)	Loss 2.6765 (2.5497)	Prec@1 35.938 (38.309)	Prec@5 64.844 (68.165)
Epoch: [75][2380/7045]	Time 0.170 (0.249)	Data 0.118 (0.183)	Loss 2.5737 (2.5500)	Prec@1 35.156 (38.309)	Prec@5 65.234 (68.159)
Epoch: [75][2390/7045]	Time 0.102 (0.249)	Data 0.015 (0.183)	Loss 2.5636 (2.5501)	Prec@1 41.406 (38.312)	Prec@5 67.969 (68.158)
Epoch: [75][2400/7045]	Time 0.388 (0.249)	Data 0.336 (0.183)	Loss 2.6824 (2.5502)	Prec@1 37.891 (38.311)	Prec@5 64.844 (68.157)
Epoch: [75][2410/7045]	Time 0.101 (0.249)	Data 0.046 (0.183)	Loss 2.6134 (2.5504)	Prec@1 40.625 (38.314)	Prec@5 65.234 (68.158)
Epoch: [75][2420/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 2.6972 (2.5502)	Prec@1 32.031 (38.317)	Prec@5 66.016 (68.163)
Epoch: [75][2430/7045]	Time 0.274 (0.249)	Data 0.216 (0.183)	Loss 2.3964 (2.5500)	Prec@1 43.750 (38.321)	Prec@5 71.094 (68.172)
Epoch: [75][2440/7045]	Time 0.102 (0.249)	Data 0.002 (0.183)	Loss 2.6052 (2.5497)	Prec@1 37.109 (38.323)	Prec@5 66.406 (68.173)
Epoch: [75][2450/7045]	Time 0.343 (0.249)	Data 0.291 (0.183)	Loss 2.7114 (2.5499)	Prec@1 33.203 (38.313)	Prec@5 64.844 (68.173)
Epoch: [75][2460/7045]	Time 0.404 (0.249)	Data 0.353 (0.183)	Loss 2.4808 (2.5496)	Prec@1 39.453 (38.321)	Prec@5 71.094 (68.182)
Epoch: [75][2470/7045]	Time 0.501 (0.249)	Data 0.449 (0.183)	Loss 2.4500 (2.5497)	Prec@1 39.453 (38.318)	Prec@5 69.922 (68.176)
Epoch: [75][2480/7045]	Time 0.102 (0.249)	Data 0.008 (0.183)	Loss 2.6519 (2.5496)	Prec@1 36.719 (38.318)	Prec@5 65.625 (68.179)
Epoch: [75][2490/7045]	Time 0.313 (0.249)	Data 0.261 (0.183)	Loss 2.3547 (2.5495)	Prec@1 41.406 (38.322)	Prec@5 75.391 (68.181)
Epoch: [75][2500/7045]	Time 0.578 (0.249)	Data 0.517 (0.183)	Loss 2.4679 (2.5496)	Prec@1 41.016 (38.320)	Prec@5 69.531 (68.180)
Epoch: [75][2510/7045]	Time 0.100 (0.249)	Data 0.001 (0.183)	Loss 2.7831 (2.5495)	Prec@1 33.984 (38.327)	Prec@5 64.062 (68.180)
Epoch: [75][2520/7045]	Time 0.322 (0.249)	Data 0.269 (0.183)	Loss 2.5099 (2.5492)	Prec@1 39.844 (38.333)	Prec@5 66.016 (68.183)
Epoch: [75][2530/7045]	Time 0.108 (0.249)	Data 0.056 (0.183)	Loss 2.2678 (2.5492)	Prec@1 48.047 (38.337)	Prec@5 74.609 (68.184)
Epoch: [75][2540/7045]	Time 0.137 (0.249)	Data 0.077 (0.183)	Loss 2.5207 (2.5493)	Prec@1 39.844 (38.339)	Prec@5 71.875 (68.183)
Epoch: [75][2550/7045]	Time 0.103 (0.249)	Data 0.001 (0.183)	Loss 2.5292 (2.5490)	Prec@1 35.938 (38.341)	Prec@5 68.750 (68.187)
Epoch: [75][2560/7045]	Time 0.272 (0.249)	Data 0.220 (0.183)	Loss 2.6197 (2.5490)	Prec@1 38.281 (38.341)	Prec@5 66.016 (68.189)
Epoch: [75][2570/7045]	Time 0.420 (0.249)	Data 0.369 (0.183)	Loss 2.5649 (2.5489)	Prec@1 36.328 (38.337)	Prec@5 71.094 (68.191)
Epoch: [75][2580/7045]	Time 0.101 (0.249)	Data 0.007 (0.183)	Loss 2.6070 (2.5491)	Prec@1 36.328 (38.330)	Prec@5 69.922 (68.191)
Epoch: [75][2590/7045]	Time 0.129 (0.249)	Data 0.078 (0.183)	Loss 2.2454 (2.5489)	Prec@1 44.141 (38.339)	Prec@5 70.703 (68.195)
Epoch: [75][2600/7045]	Time 0.103 (0.249)	Data 0.001 (0.183)	Loss 2.5399 (2.5491)	Prec@1 40.234 (38.335)	Prec@5 67.578 (68.194)
Epoch: [75][2610/7045]	Time 0.250 (0.249)	Data 0.193 (0.183)	Loss 2.4592 (2.5492)	Prec@1 40.234 (38.333)	Prec@5 67.188 (68.187)
Epoch: [75][2620/7045]	Time 0.438 (0.249)	Data 0.386 (0.183)	Loss 2.5888 (2.5492)	Prec@1 37.500 (38.330)	Prec@5 65.234 (68.186)
Epoch: [75][2630/7045]	Time 0.101 (0.249)	Data 0.001 (0.183)	Loss 2.5828 (2.5492)	Prec@1 37.500 (38.334)	Prec@5 67.578 (68.185)
Epoch: [75][2640/7045]	Time 0.253 (0.249)	Data 0.202 (0.183)	Loss 2.6310 (2.5493)	Prec@1 35.156 (38.329)	Prec@5 69.141 (68.182)
Epoch: [75][2650/7045]	Time 0.112 (0.249)	Data 0.059 (0.183)	Loss 2.3723 (2.5492)	Prec@1 39.062 (38.327)	Prec@5 72.656 (68.186)
Epoch: [75][2660/7045]	Time 0.168 (0.249)	Data 0.112 (0.183)	Loss 2.6299 (2.5493)	Prec@1 38.281 (38.329)	Prec@5 66.016 (68.181)
Epoch: [75][2670/7045]	Time 0.211 (0.249)	Data 0.160 (0.183)	Loss 2.6399 (2.5495)	Prec@1 37.891 (38.326)	Prec@5 64.062 (68.177)
Epoch: [75][2680/7045]	Time 0.102 (0.249)	Data 0.003 (0.183)	Loss 2.7776 (2.5498)	Prec@1 33.203 (38.326)	Prec@5 67.578 (68.176)
Epoch: [75][2690/7045]	Time 0.397 (0.249)	Data 0.346 (0.183)	Loss 2.4982 (2.5496)	Prec@1 40.234 (38.330)	Prec@5 69.141 (68.177)
Epoch: [75][2700/7045]	Time 0.492 (0.249)	Data 0.441 (0.183)	Loss 2.4773 (2.5497)	Prec@1 39.062 (38.330)	Prec@5 67.969 (68.173)
Epoch: [75][2710/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 2.4673 (2.5495)	Prec@1 37.500 (38.330)	Prec@5 67.969 (68.178)
Epoch: [75][2720/7045]	Time 0.606 (0.249)	Data 0.549 (0.183)	Loss 2.5674 (2.5497)	Prec@1 40.234 (38.326)	Prec@5 66.797 (68.172)
Epoch: [75][2730/7045]	Time 0.107 (0.249)	Data 0.055 (0.183)	Loss 2.5640 (2.5498)	Prec@1 37.891 (38.327)	Prec@5 68.359 (68.168)
Epoch: [75][2740/7045]	Time 0.156 (0.249)	Data 0.104 (0.183)	Loss 2.5548 (2.5498)	Prec@1 35.156 (38.324)	Prec@5 68.750 (68.170)
Epoch: [75][2750/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 2.6077 (2.5497)	Prec@1 38.672 (38.326)	Prec@5 67.578 (68.173)
Epoch: [75][2760/7045]	Time 0.101 (0.249)	Data 0.006 (0.183)	Loss 2.6032 (2.5498)	Prec@1 34.766 (38.325)	Prec@5 68.750 (68.172)
Epoch: [75][2770/7045]	Time 0.426 (0.249)	Data 0.374 (0.183)	Loss 2.5290 (2.5497)	Prec@1 37.500 (38.327)	Prec@5 68.750 (68.172)
Epoch: [75][2780/7045]	Time 0.473 (0.249)	Data 0.420 (0.183)	Loss 2.7599 (2.5498)	Prec@1 33.594 (38.327)	Prec@5 64.453 (68.172)
Epoch: [75][2790/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 2.5232 (2.5498)	Prec@1 37.500 (38.325)	Prec@5 67.969 (68.171)
Epoch: [75][2800/7045]	Time 0.618 (0.249)	Data 0.566 (0.183)	Loss 2.4151 (2.5499)	Prec@1 37.500 (38.322)	Prec@5 74.609 (68.171)
Epoch: [75][2810/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 2.4951 (2.5500)	Prec@1 40.625 (38.321)	Prec@5 68.359 (68.168)
Epoch: [75][2820/7045]	Time 0.108 (0.249)	Data 0.003 (0.183)	Loss 2.6537 (2.5501)	Prec@1 33.984 (38.321)	Prec@5 66.797 (68.168)
Epoch: [75][2830/7045]	Time 0.205 (0.249)	Data 0.154 (0.183)	Loss 2.4741 (2.5501)	Prec@1 38.672 (38.317)	Prec@5 72.656 (68.169)
Epoch: [75][2840/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 2.6367 (2.5501)	Prec@1 35.547 (38.315)	Prec@5 67.969 (68.168)
Epoch: [75][2850/7045]	Time 0.390 (0.249)	Data 0.340 (0.183)	Loss 2.6796 (2.5502)	Prec@1 35.547 (38.314)	Prec@5 67.969 (68.166)
Epoch: [75][2860/7045]	Time 0.634 (0.249)	Data 0.583 (0.183)	Loss 2.5679 (2.5504)	Prec@1 35.938 (38.312)	Prec@5 66.797 (68.162)
Epoch: [75][2870/7045]	Time 0.200 (0.249)	Data 0.140 (0.183)	Loss 2.4839 (2.5502)	Prec@1 41.016 (38.322)	Prec@5 71.484 (68.168)
Epoch: [75][2880/7045]	Time 0.275 (0.249)	Data 0.223 (0.183)	Loss 2.7183 (2.5505)	Prec@1 36.719 (38.324)	Prec@5 63.672 (68.160)
Epoch: [75][2890/7045]	Time 0.754 (0.249)	Data 0.703 (0.183)	Loss 2.4503 (2.5504)	Prec@1 38.672 (38.327)	Prec@5 68.359 (68.159)
Epoch: [75][2900/7045]	Time 0.156 (0.249)	Data 0.104 (0.183)	Loss 2.5091 (2.5505)	Prec@1 41.797 (38.328)	Prec@5 67.969 (68.157)
Epoch: [75][2910/7045]	Time 0.107 (0.249)	Data 0.055 (0.183)	Loss 2.5716 (2.5505)	Prec@1 40.234 (38.327)	Prec@5 68.750 (68.156)
Epoch: [75][2920/7045]	Time 0.552 (0.249)	Data 0.500 (0.183)	Loss 2.4335 (2.5505)	Prec@1 38.281 (38.329)	Prec@5 70.703 (68.159)
Epoch: [75][2930/7045]	Time 0.103 (0.249)	Data 0.001 (0.183)	Loss 2.5538 (2.5504)	Prec@1 40.625 (38.328)	Prec@5 67.969 (68.161)
Epoch: [75][2940/7045]	Time 0.111 (0.249)	Data 0.004 (0.183)	Loss 2.5797 (2.5505)	Prec@1 40.234 (38.323)	Prec@5 66.797 (68.161)
Epoch: [75][2950/7045]	Time 0.101 (0.249)	Data 0.015 (0.183)	Loss 2.6736 (2.5505)	Prec@1 35.938 (38.320)	Prec@5 64.062 (68.163)
Epoch: [75][2960/7045]	Time 0.102 (0.249)	Data 0.005 (0.183)	Loss 2.4448 (2.5504)	Prec@1 39.453 (38.319)	Prec@5 71.094 (68.165)
Epoch: [75][2970/7045]	Time 0.268 (0.249)	Data 0.215 (0.183)	Loss 2.5938 (2.5506)	Prec@1 40.234 (38.321)	Prec@5 69.141 (68.161)
Epoch: [75][2980/7045]	Time 0.243 (0.249)	Data 0.191 (0.183)	Loss 2.5824 (2.5505)	Prec@1 37.109 (38.320)	Prec@5 64.453 (68.164)
Epoch: [75][2990/7045]	Time 0.103 (0.249)	Data 0.001 (0.183)	Loss 2.6668 (2.5505)	Prec@1 37.891 (38.321)	Prec@5 66.016 (68.160)
Epoch: [75][3000/7045]	Time 0.109 (0.249)	Data 0.056 (0.183)	Loss 2.6425 (2.5504)	Prec@1 40.234 (38.323)	Prec@5 63.281 (68.158)
Epoch: [75][3010/7045]	Time 0.472 (0.249)	Data 0.414 (0.183)	Loss 2.3554 (2.5505)	Prec@1 37.500 (38.316)	Prec@5 74.219 (68.158)
Epoch: [75][3020/7045]	Time 0.305 (0.249)	Data 0.253 (0.183)	Loss 2.5724 (2.5505)	Prec@1 39.453 (38.318)	Prec@5 67.188 (68.156)
Epoch: [75][3030/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 2.7096 (2.5507)	Prec@1 37.500 (38.318)	Prec@5 66.797 (68.153)
Epoch: [75][3040/7045]	Time 0.637 (0.249)	Data 0.578 (0.183)	Loss 2.6519 (2.5507)	Prec@1 34.375 (38.319)	Prec@5 66.016 (68.154)
Epoch: [75][3050/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 2.6319 (2.5509)	Prec@1 39.062 (38.319)	Prec@5 64.453 (68.147)
Epoch: [75][3060/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 2.4305 (2.5508)	Prec@1 39.844 (38.321)	Prec@5 71.875 (68.145)
Epoch: [75][3070/7045]	Time 0.240 (0.249)	Data 0.187 (0.183)	Loss 2.5467 (2.5508)	Prec@1 40.625 (38.321)	Prec@5 70.312 (68.147)
Epoch: [75][3080/7045]	Time 0.102 (0.249)	Data 0.009 (0.183)	Loss 2.7231 (2.5509)	Prec@1 36.719 (38.321)	Prec@5 65.234 (68.145)
Epoch: [75][3090/7045]	Time 0.107 (0.249)	Data 0.005 (0.183)	Loss 2.5152 (2.5508)	Prec@1 39.062 (38.324)	Prec@5 69.531 (68.144)
Epoch: [75][3100/7045]	Time 0.293 (0.249)	Data 0.242 (0.183)	Loss 2.7427 (2.5508)	Prec@1 30.859 (38.323)	Prec@5 64.453 (68.146)
Epoch: [75][3110/7045]	Time 0.102 (0.249)	Data 0.006 (0.183)	Loss 2.4867 (2.5508)	Prec@1 38.672 (38.323)	Prec@5 71.484 (68.147)
Epoch: [75][3120/7045]	Time 0.304 (0.249)	Data 0.252 (0.183)	Loss 2.5253 (2.5505)	Prec@1 41.016 (38.325)	Prec@5 69.141 (68.153)
Epoch: [75][3130/7045]	Time 0.279 (0.249)	Data 0.221 (0.183)	Loss 2.2691 (2.5505)	Prec@1 48.047 (38.328)	Prec@5 73.828 (68.152)
Epoch: [75][3140/7045]	Time 0.202 (0.249)	Data 0.150 (0.183)	Loss 2.7208 (2.5506)	Prec@1 36.328 (38.322)	Prec@5 67.969 (68.154)
Epoch: [75][3150/7045]	Time 0.165 (0.249)	Data 0.115 (0.183)	Loss 2.4848 (2.5508)	Prec@1 40.625 (38.322)	Prec@5 71.875 (68.151)
Epoch: [75][3160/7045]	Time 0.129 (0.249)	Data 0.078 (0.183)	Loss 2.3017 (2.5504)	Prec@1 42.969 (38.327)	Prec@5 70.703 (68.158)
Epoch: [75][3170/7045]	Time 0.257 (0.249)	Data 0.205 (0.183)	Loss 2.6071 (2.5504)	Prec@1 35.547 (38.324)	Prec@5 69.141 (68.159)
Epoch: [75][3180/7045]	Time 0.494 (0.249)	Data 0.442 (0.183)	Loss 2.4710 (2.5504)	Prec@1 37.500 (38.326)	Prec@5 72.266 (68.161)
Epoch: [75][3190/7045]	Time 0.159 (0.249)	Data 0.108 (0.183)	Loss 2.5555 (2.5504)	Prec@1 33.984 (38.327)	Prec@5 68.750 (68.164)
Epoch: [75][3200/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 2.6105 (2.5503)	Prec@1 35.547 (38.328)	Prec@5 65.234 (68.163)
Epoch: [75][3210/7045]	Time 0.142 (0.249)	Data 0.090 (0.183)	Loss 2.4139 (2.5502)	Prec@1 38.672 (38.326)	Prec@5 71.094 (68.168)
Epoch: [75][3220/7045]	Time 0.326 (0.249)	Data 0.273 (0.183)	Loss 2.5511 (2.5504)	Prec@1 37.500 (38.324)	Prec@5 68.750 (68.166)
Epoch: [75][3230/7045]	Time 0.361 (0.249)	Data 0.302 (0.183)	Loss 2.3497 (2.5503)	Prec@1 40.234 (38.321)	Prec@5 73.828 (68.166)
Epoch: [75][3240/7045]	Time 0.112 (0.249)	Data 0.054 (0.183)	Loss 2.5822 (2.5503)	Prec@1 36.719 (38.320)	Prec@5 69.922 (68.168)
Epoch: [75][3250/7045]	Time 0.140 (0.249)	Data 0.088 (0.183)	Loss 2.7156 (2.5502)	Prec@1 41.016 (38.325)	Prec@5 64.453 (68.172)
Epoch: [75][3260/7045]	Time 0.111 (0.249)	Data 0.059 (0.183)	Loss 2.3617 (2.5504)	Prec@1 41.406 (38.317)	Prec@5 67.969 (68.163)
Epoch: [75][3270/7045]	Time 0.330 (0.249)	Data 0.270 (0.183)	Loss 2.5365 (2.5505)	Prec@1 43.359 (38.318)	Prec@5 70.312 (68.163)
Epoch: [75][3280/7045]	Time 0.468 (0.249)	Data 0.418 (0.183)	Loss 2.6762 (2.5503)	Prec@1 33.984 (38.321)	Prec@5 66.406 (68.167)
Epoch: [75][3290/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 2.5393 (2.5504)	Prec@1 37.109 (38.323)	Prec@5 67.969 (68.168)
Epoch: [75][3300/7045]	Time 0.356 (0.249)	Data 0.303 (0.183)	Loss 2.6427 (2.5505)	Prec@1 37.109 (38.325)	Prec@5 66.016 (68.165)
Epoch: [75][3310/7045]	Time 0.102 (0.249)	Data 0.004 (0.183)	Loss 2.4689 (2.5505)	Prec@1 46.094 (38.327)	Prec@5 70.703 (68.163)
Epoch: [75][3320/7045]	Time 0.115 (0.249)	Data 0.062 (0.183)	Loss 2.7542 (2.5505)	Prec@1 35.547 (38.325)	Prec@5 66.406 (68.162)
Epoch: [75][3330/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 2.5684 (2.5506)	Prec@1 37.109 (38.323)	Prec@5 69.141 (68.160)
Epoch: [75][3340/7045]	Time 0.425 (0.249)	Data 0.372 (0.183)	Loss 2.5289 (2.5507)	Prec@1 41.797 (38.321)	Prec@5 69.531 (68.157)
Epoch: [75][3350/7045]	Time 0.393 (0.249)	Data 0.342 (0.183)	Loss 2.4921 (2.5506)	Prec@1 39.844 (38.322)	Prec@5 67.969 (68.159)
Epoch: [75][3360/7045]	Time 0.101 (0.249)	Data 0.008 (0.183)	Loss 2.5474 (2.5505)	Prec@1 35.547 (38.322)	Prec@5 67.969 (68.161)
Epoch: [75][3370/7045]	Time 0.270 (0.249)	Data 0.218 (0.182)	Loss 2.6487 (2.5503)	Prec@1 36.719 (38.322)	Prec@5 67.578 (68.161)
Epoch: [75][3380/7045]	Time 0.102 (0.249)	Data 0.044 (0.182)	Loss 2.5198 (2.5501)	Prec@1 36.719 (38.328)	Prec@5 68.750 (68.164)
Epoch: [75][3390/7045]	Time 0.423 (0.249)	Data 0.370 (0.183)	Loss 2.5797 (2.5502)	Prec@1 37.109 (38.327)	Prec@5 67.188 (68.163)
Epoch: [75][3400/7045]	Time 0.370 (0.249)	Data 0.318 (0.183)	Loss 2.8446 (2.5504)	Prec@1 30.078 (38.328)	Prec@5 65.625 (68.158)
Epoch: [75][3410/7045]	Time 0.343 (0.249)	Data 0.292 (0.182)	Loss 2.4011 (2.5504)	Prec@1 37.891 (38.326)	Prec@5 70.703 (68.154)
Epoch: [75][3420/7045]	Time 0.138 (0.249)	Data 0.086 (0.182)	Loss 2.4432 (2.5504)	Prec@1 39.453 (38.327)	Prec@5 72.656 (68.155)
Epoch: [75][3430/7045]	Time 0.102 (0.249)	Data 0.005 (0.182)	Loss 2.4693 (2.5503)	Prec@1 39.453 (38.330)	Prec@5 69.922 (68.153)
Epoch: [75][3440/7045]	Time 0.102 (0.249)	Data 0.045 (0.182)	Loss 2.6170 (2.5504)	Prec@1 38.281 (38.330)	Prec@5 67.578 (68.149)
Epoch: [75][3450/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.6194 (2.5503)	Prec@1 32.031 (38.330)	Prec@5 67.969 (68.151)
Epoch: [75][3460/7045]	Time 0.315 (0.249)	Data 0.264 (0.182)	Loss 2.3520 (2.5500)	Prec@1 40.234 (38.331)	Prec@5 72.656 (68.157)
Epoch: [75][3470/7045]	Time 0.111 (0.249)	Data 0.001 (0.182)	Loss 2.6711 (2.5500)	Prec@1 40.234 (38.335)	Prec@5 67.969 (68.156)
Epoch: [75][3480/7045]	Time 0.531 (0.249)	Data 0.479 (0.182)	Loss 2.4245 (2.5502)	Prec@1 39.062 (38.330)	Prec@5 70.312 (68.153)
Epoch: [75][3490/7045]	Time 0.290 (0.249)	Data 0.238 (0.182)	Loss 2.4623 (2.5503)	Prec@1 39.062 (38.329)	Prec@5 71.484 (68.151)
Epoch: [75][3500/7045]	Time 0.102 (0.249)	Data 0.007 (0.182)	Loss 2.4183 (2.5503)	Prec@1 40.625 (38.327)	Prec@5 70.703 (68.152)
Epoch: [75][3510/7045]	Time 0.125 (0.249)	Data 0.072 (0.182)	Loss 2.8033 (2.5503)	Prec@1 33.203 (38.325)	Prec@5 62.500 (68.151)
Epoch: [75][3520/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.5116 (2.5502)	Prec@1 37.891 (38.327)	Prec@5 69.531 (68.152)
Epoch: [75][3530/7045]	Time 0.402 (0.249)	Data 0.349 (0.182)	Loss 2.6554 (2.5500)	Prec@1 34.375 (38.329)	Prec@5 64.453 (68.158)
Epoch: [75][3540/7045]	Time 0.103 (0.249)	Data 0.001 (0.182)	Loss 2.3808 (2.5500)	Prec@1 44.141 (38.331)	Prec@5 70.703 (68.159)
Epoch: [75][3550/7045]	Time 0.411 (0.249)	Data 0.359 (0.182)	Loss 2.6374 (2.5501)	Prec@1 35.156 (38.330)	Prec@5 67.188 (68.157)
Epoch: [75][3560/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.4011 (2.5501)	Prec@1 42.969 (38.328)	Prec@5 72.266 (68.157)
Epoch: [75][3570/7045]	Time 0.102 (0.249)	Data 0.005 (0.182)	Loss 2.5813 (2.5501)	Prec@1 35.156 (38.326)	Prec@5 66.016 (68.157)
Epoch: [75][3580/7045]	Time 0.558 (0.249)	Data 0.506 (0.182)	Loss 2.6791 (2.5502)	Prec@1 35.938 (38.324)	Prec@5 64.844 (68.159)
Epoch: [75][3590/7045]	Time 0.109 (0.249)	Data 0.015 (0.182)	Loss 2.4978 (2.5501)	Prec@1 39.844 (38.323)	Prec@5 67.578 (68.162)
Epoch: [75][3600/7045]	Time 0.107 (0.249)	Data 0.054 (0.182)	Loss 2.5729 (2.5502)	Prec@1 38.281 (38.321)	Prec@5 64.844 (68.159)
Epoch: [75][3610/7045]	Time 0.588 (0.249)	Data 0.530 (0.182)	Loss 2.2400 (2.5503)	Prec@1 41.406 (38.319)	Prec@5 73.047 (68.155)
Epoch: [75][3620/7045]	Time 0.270 (0.249)	Data 0.218 (0.182)	Loss 2.5273 (2.5502)	Prec@1 38.281 (38.323)	Prec@5 66.797 (68.154)
Epoch: [75][3630/7045]	Time 0.158 (0.249)	Data 0.106 (0.182)	Loss 2.4480 (2.5501)	Prec@1 44.141 (38.323)	Prec@5 69.141 (68.155)
Epoch: [75][3640/7045]	Time 0.206 (0.249)	Data 0.155 (0.182)	Loss 2.4466 (2.5501)	Prec@1 38.281 (38.320)	Prec@5 71.094 (68.152)
Epoch: [75][3650/7045]	Time 0.544 (0.249)	Data 0.491 (0.182)	Loss 2.5686 (2.5500)	Prec@1 35.547 (38.321)	Prec@5 69.141 (68.156)
Epoch: [75][3660/7045]	Time 0.347 (0.249)	Data 0.295 (0.182)	Loss 2.7127 (2.5501)	Prec@1 34.375 (38.319)	Prec@5 61.719 (68.152)
Epoch: [75][3670/7045]	Time 0.139 (0.249)	Data 0.089 (0.182)	Loss 2.6513 (2.5502)	Prec@1 37.500 (38.318)	Prec@5 66.406 (68.150)
Epoch: [75][3680/7045]	Time 0.108 (0.249)	Data 0.054 (0.182)	Loss 2.6218 (2.5503)	Prec@1 33.984 (38.316)	Prec@5 64.062 (68.149)
Epoch: [75][3690/7045]	Time 0.112 (0.249)	Data 0.060 (0.182)	Loss 2.6775 (2.5503)	Prec@1 39.062 (38.319)	Prec@5 67.969 (68.154)
Epoch: [75][3700/7045]	Time 0.355 (0.249)	Data 0.303 (0.182)	Loss 2.4399 (2.5503)	Prec@1 37.891 (38.316)	Prec@5 71.484 (68.156)
Epoch: [75][3710/7045]	Time 0.109 (0.249)	Data 0.002 (0.182)	Loss 2.5659 (2.5504)	Prec@1 39.062 (38.313)	Prec@5 66.797 (68.156)
Epoch: [75][3720/7045]	Time 0.112 (0.249)	Data 0.060 (0.182)	Loss 2.5079 (2.5501)	Prec@1 43.359 (38.316)	Prec@5 71.875 (68.161)
Epoch: [75][3730/7045]	Time 0.381 (0.249)	Data 0.329 (0.182)	Loss 2.7212 (2.5503)	Prec@1 32.031 (38.314)	Prec@5 64.453 (68.156)
Epoch: [75][3740/7045]	Time 0.172 (0.249)	Data 0.121 (0.182)	Loss 2.3523 (2.5503)	Prec@1 40.234 (38.316)	Prec@5 71.094 (68.158)
Epoch: [75][3750/7045]	Time 0.102 (0.249)	Data 0.044 (0.182)	Loss 2.5340 (2.5502)	Prec@1 37.891 (38.319)	Prec@5 71.484 (68.161)
Epoch: [75][3760/7045]	Time 0.205 (0.249)	Data 0.148 (0.182)	Loss 2.6303 (2.5502)	Prec@1 34.375 (38.317)	Prec@5 64.844 (68.158)
Epoch: [75][3770/7045]	Time 0.485 (0.249)	Data 0.433 (0.182)	Loss 2.5931 (2.5503)	Prec@1 34.375 (38.313)	Prec@5 68.750 (68.159)
Epoch: [75][3780/7045]	Time 0.110 (0.249)	Data 0.001 (0.182)	Loss 2.5178 (2.5504)	Prec@1 38.672 (38.308)	Prec@5 69.531 (68.158)
Epoch: [75][3790/7045]	Time 0.102 (0.249)	Data 0.007 (0.182)	Loss 2.7248 (2.5503)	Prec@1 35.547 (38.312)	Prec@5 66.406 (68.163)
Epoch: [75][3800/7045]	Time 0.537 (0.249)	Data 0.485 (0.182)	Loss 2.6952 (2.5502)	Prec@1 34.375 (38.311)	Prec@5 67.188 (68.162)
Epoch: [75][3810/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.7922 (2.5504)	Prec@1 37.109 (38.311)	Prec@5 62.891 (68.161)
Epoch: [75][3820/7045]	Time 0.446 (0.249)	Data 0.393 (0.182)	Loss 2.6402 (2.5503)	Prec@1 35.938 (38.316)	Prec@5 64.062 (68.162)
Epoch: [75][3830/7045]	Time 0.111 (0.249)	Data 0.007 (0.182)	Loss 2.3125 (2.5503)	Prec@1 43.750 (38.316)	Prec@5 73.828 (68.161)
Epoch: [75][3840/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.4609 (2.5501)	Prec@1 41.797 (38.319)	Prec@5 70.703 (68.164)
Epoch: [75][3850/7045]	Time 0.315 (0.249)	Data 0.264 (0.182)	Loss 2.7230 (2.5503)	Prec@1 33.203 (38.313)	Prec@5 64.844 (68.161)
Epoch: [75][3860/7045]	Time 0.286 (0.249)	Data 0.234 (0.182)	Loss 2.6440 (2.5504)	Prec@1 40.234 (38.309)	Prec@5 66.797 (68.161)
Epoch: [75][3870/7045]	Time 0.701 (0.249)	Data 0.650 (0.182)	Loss 2.5361 (2.5506)	Prec@1 42.188 (38.307)	Prec@5 65.625 (68.158)
Epoch: [75][3880/7045]	Time 0.335 (0.249)	Data 0.283 (0.182)	Loss 2.5275 (2.5505)	Prec@1 35.938 (38.311)	Prec@5 69.922 (68.160)
Epoch: [75][3890/7045]	Time 0.110 (0.249)	Data 0.058 (0.182)	Loss 2.5902 (2.5505)	Prec@1 39.062 (38.309)	Prec@5 66.797 (68.160)
Epoch: [75][3900/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.7139 (2.5507)	Prec@1 33.203 (38.306)	Prec@5 64.453 (68.155)
Epoch: [75][3910/7045]	Time 0.151 (0.249)	Data 0.098 (0.182)	Loss 2.4688 (2.5507)	Prec@1 39.844 (38.306)	Prec@5 70.312 (68.155)
Epoch: [75][3920/7045]	Time 0.748 (0.249)	Data 0.687 (0.182)	Loss 2.5232 (2.5506)	Prec@1 41.016 (38.309)	Prec@5 69.141 (68.156)
Epoch: [75][3930/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.5424 (2.5506)	Prec@1 44.922 (38.310)	Prec@5 71.094 (68.157)
Epoch: [75][3940/7045]	Time 0.526 (0.249)	Data 0.474 (0.182)	Loss 2.5979 (2.5506)	Prec@1 35.156 (38.315)	Prec@5 64.844 (68.157)
Epoch: [75][3950/7045]	Time 0.101 (0.249)	Data 0.003 (0.182)	Loss 2.6075 (2.5507)	Prec@1 40.234 (38.316)	Prec@5 66.406 (68.156)
Epoch: [75][3960/7045]	Time 0.115 (0.249)	Data 0.055 (0.182)	Loss 2.4658 (2.5507)	Prec@1 40.234 (38.315)	Prec@5 68.359 (68.156)
Epoch: [75][3970/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.4093 (2.5508)	Prec@1 41.406 (38.313)	Prec@5 69.531 (68.154)
Epoch: [75][3980/7045]	Time 0.106 (0.249)	Data 0.053 (0.182)	Loss 2.3918 (2.5507)	Prec@1 41.797 (38.316)	Prec@5 72.656 (68.153)
Epoch: [75][3990/7045]	Time 0.946 (0.249)	Data 0.896 (0.182)	Loss 2.7099 (2.5508)	Prec@1 33.984 (38.315)	Prec@5 64.844 (68.150)
Epoch: [75][4000/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.7819 (2.5507)	Prec@1 34.766 (38.315)	Prec@5 64.453 (68.151)
Epoch: [75][4010/7045]	Time 0.245 (0.249)	Data 0.193 (0.182)	Loss 2.7163 (2.5507)	Prec@1 33.594 (38.314)	Prec@5 66.797 (68.151)
Epoch: [75][4020/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.5682 (2.5506)	Prec@1 38.672 (38.317)	Prec@5 71.484 (68.153)
Epoch: [75][4030/7045]	Time 0.102 (0.249)	Data 0.008 (0.182)	Loss 2.2913 (2.5506)	Prec@1 38.672 (38.318)	Prec@5 70.703 (68.152)
Epoch: [75][4040/7045]	Time 0.685 (0.249)	Data 0.634 (0.182)	Loss 2.6113 (2.5506)	Prec@1 35.156 (38.316)	Prec@5 66.016 (68.150)
Epoch: [75][4050/7045]	Time 0.249 (0.249)	Data 0.198 (0.182)	Loss 2.5779 (2.5506)	Prec@1 35.547 (38.317)	Prec@5 70.703 (68.150)
Epoch: [75][4060/7045]	Time 0.439 (0.249)	Data 0.387 (0.182)	Loss 2.6567 (2.5504)	Prec@1 37.500 (38.323)	Prec@5 67.969 (68.154)
Epoch: [75][4070/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.5804 (2.5504)	Prec@1 38.281 (38.324)	Prec@5 70.312 (68.155)
Epoch: [75][4080/7045]	Time 0.108 (0.249)	Data 0.007 (0.182)	Loss 2.6076 (2.5504)	Prec@1 37.891 (38.325)	Prec@5 66.797 (68.156)
Epoch: [75][4090/7045]	Time 0.182 (0.249)	Data 0.130 (0.182)	Loss 2.3432 (2.5504)	Prec@1 38.672 (38.324)	Prec@5 73.828 (68.157)
Epoch: [75][4100/7045]	Time 0.109 (0.249)	Data 0.002 (0.182)	Loss 2.3629 (2.5506)	Prec@1 39.453 (38.320)	Prec@5 74.219 (68.158)
Epoch: [75][4110/7045]	Time 0.517 (0.249)	Data 0.465 (0.182)	Loss 2.6381 (2.5506)	Prec@1 36.719 (38.318)	Prec@5 66.797 (68.158)
Epoch: [75][4120/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.5293 (2.5505)	Prec@1 41.016 (38.320)	Prec@5 69.531 (68.161)
Epoch: [75][4130/7045]	Time 0.108 (0.249)	Data 0.001 (0.182)	Loss 2.1900 (2.5504)	Prec@1 48.438 (38.319)	Prec@5 73.047 (68.161)
Epoch: [75][4140/7045]	Time 0.204 (0.249)	Data 0.152 (0.182)	Loss 2.3766 (2.5502)	Prec@1 39.844 (38.322)	Prec@5 69.531 (68.160)
Epoch: [75][4150/7045]	Time 0.102 (0.249)	Data 0.007 (0.182)	Loss 2.5010 (2.5501)	Prec@1 38.281 (38.323)	Prec@5 70.312 (68.162)
Epoch: [75][4160/7045]	Time 0.394 (0.249)	Data 0.342 (0.182)	Loss 2.3686 (2.5499)	Prec@1 43.750 (38.326)	Prec@5 71.484 (68.165)
Epoch: [75][4170/7045]	Time 0.643 (0.249)	Data 0.590 (0.182)	Loss 2.6683 (2.5498)	Prec@1 31.250 (38.326)	Prec@5 67.578 (68.167)
Epoch: [75][4180/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.5810 (2.5496)	Prec@1 42.188 (38.332)	Prec@5 66.797 (68.170)
Epoch: [75][4190/7045]	Time 0.542 (0.249)	Data 0.489 (0.182)	Loss 2.3688 (2.5497)	Prec@1 40.625 (38.329)	Prec@5 71.094 (68.168)
Epoch: [75][4200/7045]	Time 0.358 (0.249)	Data 0.307 (0.182)	Loss 2.5550 (2.5497)	Prec@1 36.719 (38.328)	Prec@5 67.188 (68.167)
Epoch: [75][4210/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.4165 (2.5496)	Prec@1 40.234 (38.330)	Prec@5 68.359 (68.169)
Epoch: [75][4220/7045]	Time 0.612 (0.249)	Data 0.560 (0.182)	Loss 2.5241 (2.5496)	Prec@1 40.625 (38.328)	Prec@5 67.578 (68.167)
Epoch: [75][4230/7045]	Time 0.428 (0.249)	Data 0.376 (0.182)	Loss 2.4199 (2.5497)	Prec@1 42.969 (38.326)	Prec@5 71.094 (68.166)
Epoch: [75][4240/7045]	Time 0.102 (0.249)	Data 0.002 (0.181)	Loss 2.4403 (2.5497)	Prec@1 38.281 (38.326)	Prec@5 68.750 (68.167)
Epoch: [75][4250/7045]	Time 0.284 (0.249)	Data 0.233 (0.182)	Loss 2.5989 (2.5496)	Prec@1 35.938 (38.326)	Prec@5 69.922 (68.169)
Epoch: [75][4260/7045]	Time 0.110 (0.249)	Data 0.057 (0.182)	Loss 2.4387 (2.5497)	Prec@1 37.500 (38.323)	Prec@5 72.266 (68.167)
Epoch: [75][4270/7045]	Time 0.345 (0.249)	Data 0.294 (0.182)	Loss 2.5953 (2.5497)	Prec@1 40.625 (38.322)	Prec@5 67.969 (68.165)
Epoch: [75][4280/7045]	Time 0.237 (0.249)	Data 0.186 (0.182)	Loss 2.3934 (2.5497)	Prec@1 41.797 (38.323)	Prec@5 70.312 (68.167)
Epoch: [75][4290/7045]	Time 0.113 (0.249)	Data 0.001 (0.182)	Loss 2.7144 (2.5496)	Prec@1 35.547 (38.325)	Prec@5 64.453 (68.170)
Epoch: [75][4300/7045]	Time 0.229 (0.249)	Data 0.179 (0.182)	Loss 2.3575 (2.5495)	Prec@1 45.312 (38.330)	Prec@5 71.484 (68.172)
Epoch: [75][4310/7045]	Time 0.356 (0.249)	Data 0.304 (0.182)	Loss 2.4188 (2.5495)	Prec@1 41.797 (38.331)	Prec@5 71.094 (68.172)
Epoch: [75][4320/7045]	Time 0.103 (0.249)	Data 0.001 (0.182)	Loss 2.5182 (2.5495)	Prec@1 38.281 (38.329)	Prec@5 70.703 (68.174)
Epoch: [75][4330/7045]	Time 0.102 (0.249)	Data 0.003 (0.182)	Loss 2.6297 (2.5495)	Prec@1 34.766 (38.330)	Prec@5 67.969 (68.173)
Epoch: [75][4340/7045]	Time 0.108 (0.249)	Data 0.056 (0.182)	Loss 2.5845 (2.5495)	Prec@1 37.891 (38.327)	Prec@5 69.531 (68.173)
Epoch: [75][4350/7045]	Time 0.668 (0.249)	Data 0.615 (0.182)	Loss 2.5953 (2.5495)	Prec@1 35.156 (38.327)	Prec@5 67.188 (68.174)
Epoch: [75][4360/7045]	Time 0.466 (0.249)	Data 0.413 (0.182)	Loss 2.5414 (2.5495)	Prec@1 37.500 (38.327)	Prec@5 70.312 (68.175)
Epoch: [75][4370/7045]	Time 0.101 (0.249)	Data 0.001 (0.182)	Loss 2.5474 (2.5494)	Prec@1 37.500 (38.328)	Prec@5 67.188 (68.177)
Epoch: [75][4380/7045]	Time 0.208 (0.249)	Data 0.155 (0.182)	Loss 2.6521 (2.5494)	Prec@1 35.938 (38.325)	Prec@5 68.359 (68.176)
Epoch: [75][4390/7045]	Time 0.176 (0.249)	Data 0.124 (0.182)	Loss 2.4835 (2.5494)	Prec@1 37.891 (38.324)	Prec@5 69.922 (68.177)
Epoch: [75][4400/7045]	Time 0.580 (0.249)	Data 0.530 (0.182)	Loss 2.5225 (2.5495)	Prec@1 42.578 (38.325)	Prec@5 66.406 (68.172)
Epoch: [75][4410/7045]	Time 0.330 (0.249)	Data 0.278 (0.182)	Loss 2.4193 (2.5495)	Prec@1 44.531 (38.326)	Prec@5 72.656 (68.173)
Epoch: [75][4420/7045]	Time 0.218 (0.249)	Data 0.162 (0.182)	Loss 2.4711 (2.5495)	Prec@1 37.109 (38.327)	Prec@5 68.750 (68.174)
Epoch: [75][4430/7045]	Time 0.473 (0.249)	Data 0.421 (0.182)	Loss 2.6060 (2.5495)	Prec@1 39.453 (38.327)	Prec@5 65.625 (68.175)
Epoch: [75][4440/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.3799 (2.5495)	Prec@1 39.844 (38.326)	Prec@5 73.047 (68.175)
Epoch: [75][4450/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.6977 (2.5495)	Prec@1 34.766 (38.325)	Prec@5 66.406 (68.174)
Epoch: [75][4460/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.5624 (2.5495)	Prec@1 40.234 (38.326)	Prec@5 65.234 (68.175)
Epoch: [75][4470/7045]	Time 0.277 (0.249)	Data 0.217 (0.182)	Loss 2.4366 (2.5494)	Prec@1 37.109 (38.325)	Prec@5 68.359 (68.176)
Epoch: [75][4480/7045]	Time 0.512 (0.249)	Data 0.459 (0.182)	Loss 2.3507 (2.5493)	Prec@1 42.578 (38.326)	Prec@5 71.875 (68.180)
Epoch: [75][4490/7045]	Time 0.380 (0.249)	Data 0.327 (0.182)	Loss 2.6207 (2.5494)	Prec@1 40.234 (38.322)	Prec@5 66.797 (68.180)
Epoch: [75][4500/7045]	Time 0.330 (0.249)	Data 0.279 (0.182)	Loss 2.3469 (2.5493)	Prec@1 41.016 (38.326)	Prec@5 72.266 (68.183)
Epoch: [75][4510/7045]	Time 0.101 (0.249)	Data 0.001 (0.182)	Loss 2.6963 (2.5492)	Prec@1 37.500 (38.331)	Prec@5 64.062 (68.185)
Epoch: [75][4520/7045]	Time 0.162 (0.249)	Data 0.110 (0.182)	Loss 2.6541 (2.5493)	Prec@1 38.281 (38.327)	Prec@5 67.188 (68.183)
Epoch: [75][4530/7045]	Time 0.101 (0.249)	Data 0.001 (0.182)	Loss 2.5695 (2.5494)	Prec@1 40.234 (38.327)	Prec@5 66.016 (68.182)
Epoch: [75][4540/7045]	Time 0.103 (0.249)	Data 0.005 (0.182)	Loss 2.7114 (2.5495)	Prec@1 35.938 (38.323)	Prec@5 66.016 (68.179)
Epoch: [75][4550/7045]	Time 0.440 (0.249)	Data 0.389 (0.182)	Loss 2.6187 (2.5495)	Prec@1 39.844 (38.325)	Prec@5 66.406 (68.177)
Epoch: [75][4560/7045]	Time 0.101 (0.249)	Data 0.001 (0.182)	Loss 2.5684 (2.5495)	Prec@1 38.672 (38.328)	Prec@5 67.969 (68.177)
Epoch: [75][4570/7045]	Time 0.497 (0.249)	Data 0.446 (0.182)	Loss 2.5100 (2.5495)	Prec@1 41.016 (38.327)	Prec@5 67.969 (68.178)
Epoch: [75][4580/7045]	Time 0.279 (0.249)	Data 0.224 (0.182)	Loss 2.5220 (2.5494)	Prec@1 44.141 (38.327)	Prec@5 67.188 (68.178)
Epoch: [75][4590/7045]	Time 0.203 (0.249)	Data 0.150 (0.182)	Loss 2.4921 (2.5494)	Prec@1 36.719 (38.326)	Prec@5 65.625 (68.178)
Epoch: [75][4600/7045]	Time 0.157 (0.248)	Data 0.104 (0.181)	Loss 2.5451 (2.5494)	Prec@1 35.156 (38.326)	Prec@5 69.141 (68.177)
Epoch: [75][4610/7045]	Time 0.101 (0.248)	Data 0.014 (0.182)	Loss 2.5295 (2.5493)	Prec@1 42.578 (38.325)	Prec@5 69.141 (68.179)
Epoch: [75][4620/7045]	Time 0.102 (0.248)	Data 0.001 (0.182)	Loss 2.3560 (2.5493)	Prec@1 43.750 (38.324)	Prec@5 70.703 (68.180)
Epoch: [75][4630/7045]	Time 0.302 (0.248)	Data 0.251 (0.182)	Loss 2.7953 (2.5494)	Prec@1 31.641 (38.320)	Prec@5 62.109 (68.176)
Epoch: [75][4640/7045]	Time 0.500 (0.248)	Data 0.448 (0.182)	Loss 2.3597 (2.5494)	Prec@1 44.922 (38.320)	Prec@5 69.531 (68.177)
Epoch: [75][4650/7045]	Time 0.102 (0.248)	Data 0.001 (0.182)	Loss 2.6862 (2.5494)	Prec@1 34.375 (38.322)	Prec@5 64.062 (68.178)
Epoch: [75][4660/7045]	Time 0.102 (0.248)	Data 0.011 (0.182)	Loss 2.5580 (2.5495)	Prec@1 38.672 (38.319)	Prec@5 68.359 (68.175)
Epoch: [75][4670/7045]	Time 0.494 (0.248)	Data 0.442 (0.182)	Loss 2.5659 (2.5496)	Prec@1 39.062 (38.318)	Prec@5 68.750 (68.174)
Epoch: [75][4680/7045]	Time 0.292 (0.248)	Data 0.241 (0.182)	Loss 2.4820 (2.5496)	Prec@1 41.016 (38.318)	Prec@5 67.969 (68.172)
Epoch: [75][4690/7045]	Time 0.111 (0.249)	Data 0.001 (0.182)	Loss 2.7119 (2.5495)	Prec@1 37.500 (38.320)	Prec@5 66.406 (68.174)
Epoch: [75][4700/7045]	Time 0.102 (0.248)	Data 0.004 (0.182)	Loss 2.5550 (2.5495)	Prec@1 36.719 (38.319)	Prec@5 64.844 (68.176)
Epoch: [75][4710/7045]	Time 0.350 (0.248)	Data 0.298 (0.182)	Loss 2.4178 (2.5493)	Prec@1 43.359 (38.321)	Prec@5 68.750 (68.176)
Epoch: [75][4720/7045]	Time 0.108 (0.248)	Data 0.054 (0.182)	Loss 2.5107 (2.5493)	Prec@1 43.750 (38.321)	Prec@5 64.844 (68.176)
Epoch: [75][4730/7045]	Time 0.102 (0.248)	Data 0.001 (0.182)	Loss 2.5809 (2.5493)	Prec@1 38.281 (38.321)	Prec@5 69.141 (68.177)
Epoch: [75][4740/7045]	Time 0.226 (0.248)	Data 0.174 (0.182)	Loss 2.7100 (2.5493)	Prec@1 37.109 (38.322)	Prec@5 63.672 (68.178)
Epoch: [75][4750/7045]	Time 0.473 (0.248)	Data 0.420 (0.182)	Loss 2.8240 (2.5492)	Prec@1 33.203 (38.323)	Prec@5 65.625 (68.179)
Epoch: [75][4760/7045]	Time 0.180 (0.248)	Data 0.128 (0.182)	Loss 2.4493 (2.5490)	Prec@1 39.844 (38.326)	Prec@5 73.828 (68.184)
Epoch: [75][4770/7045]	Time 0.287 (0.248)	Data 0.236 (0.182)	Loss 2.4359 (2.5490)	Prec@1 38.672 (38.325)	Prec@5 69.922 (68.185)
Epoch: [75][4780/7045]	Time 0.304 (0.248)	Data 0.252 (0.182)	Loss 2.5466 (2.5489)	Prec@1 39.453 (38.324)	Prec@5 66.016 (68.186)
Epoch: [75][4790/7045]	Time 0.241 (0.248)	Data 0.189 (0.182)	Loss 2.6167 (2.5489)	Prec@1 35.938 (38.323)	Prec@5 66.797 (68.186)
Epoch: [75][4800/7045]	Time 0.168 (0.248)	Data 0.115 (0.182)	Loss 2.5684 (2.5489)	Prec@1 38.672 (38.324)	Prec@5 63.672 (68.184)
Epoch: [75][4810/7045]	Time 0.139 (0.248)	Data 0.086 (0.182)	Loss 2.6159 (2.5489)	Prec@1 38.672 (38.325)	Prec@5 66.797 (68.185)
Epoch: [75][4820/7045]	Time 0.353 (0.248)	Data 0.300 (0.182)	Loss 2.5593 (2.5490)	Prec@1 40.234 (38.326)	Prec@5 65.625 (68.185)
Epoch: [75][4830/7045]	Time 0.266 (0.248)	Data 0.215 (0.182)	Loss 2.6935 (2.5490)	Prec@1 34.766 (38.324)	Prec@5 62.891 (68.180)
Epoch: [75][4840/7045]	Time 0.562 (0.249)	Data 0.510 (0.182)	Loss 2.4753 (2.5490)	Prec@1 38.281 (38.321)	Prec@5 66.797 (68.180)
Epoch: [75][4850/7045]	Time 0.295 (0.249)	Data 0.242 (0.182)	Loss 2.7335 (2.5490)	Prec@1 32.812 (38.318)	Prec@5 65.625 (68.179)
Epoch: [75][4860/7045]	Time 0.425 (0.248)	Data 0.372 (0.182)	Loss 2.5947 (2.5490)	Prec@1 36.328 (38.317)	Prec@5 66.797 (68.178)
Epoch: [75][4870/7045]	Time 0.194 (0.248)	Data 0.142 (0.182)	Loss 2.6892 (2.5492)	Prec@1 38.281 (38.316)	Prec@5 64.453 (68.174)
Epoch: [75][4880/7045]	Time 0.316 (0.248)	Data 0.263 (0.182)	Loss 2.5112 (2.5492)	Prec@1 41.406 (38.317)	Prec@5 68.750 (68.174)
Epoch: [75][4890/7045]	Time 0.260 (0.248)	Data 0.208 (0.182)	Loss 2.6175 (2.5492)	Prec@1 32.812 (38.316)	Prec@5 67.578 (68.177)
Epoch: [75][4900/7045]	Time 0.102 (0.248)	Data 0.045 (0.182)	Loss 2.6450 (2.5492)	Prec@1 32.812 (38.314)	Prec@5 67.578 (68.176)
Epoch: [75][4910/7045]	Time 0.360 (0.249)	Data 0.308 (0.182)	Loss 2.6322 (2.5492)	Prec@1 33.203 (38.310)	Prec@5 68.750 (68.178)
Epoch: [75][4920/7045]	Time 0.164 (0.249)	Data 0.112 (0.182)	Loss 2.6715 (2.5492)	Prec@1 35.156 (38.308)	Prec@5 69.531 (68.177)
Epoch: [75][4930/7045]	Time 0.132 (0.248)	Data 0.080 (0.182)	Loss 2.4783 (2.5491)	Prec@1 36.719 (38.312)	Prec@5 71.875 (68.181)
Epoch: [75][4940/7045]	Time 0.305 (0.249)	Data 0.248 (0.182)	Loss 2.4087 (2.5490)	Prec@1 42.188 (38.313)	Prec@5 71.484 (68.181)
Epoch: [75][4950/7045]	Time 0.288 (0.249)	Data 0.236 (0.182)	Loss 2.4705 (2.5489)	Prec@1 35.547 (38.315)	Prec@5 72.656 (68.184)
Epoch: [75][4960/7045]	Time 0.175 (0.248)	Data 0.123 (0.182)	Loss 2.4718 (2.5487)	Prec@1 38.672 (38.317)	Prec@5 69.141 (68.185)
Epoch: [75][4970/7045]	Time 0.103 (0.248)	Data 0.044 (0.182)	Loss 2.5299 (2.5486)	Prec@1 40.234 (38.322)	Prec@5 68.750 (68.186)
Epoch: [75][4980/7045]	Time 0.683 (0.249)	Data 0.630 (0.182)	Loss 2.6592 (2.5486)	Prec@1 35.938 (38.323)	Prec@5 66.406 (68.187)
Epoch: [75][4990/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.6362 (2.5486)	Prec@1 35.938 (38.322)	Prec@5 68.359 (68.186)
Epoch: [75][5000/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.3601 (2.5486)	Prec@1 40.625 (38.321)	Prec@5 72.266 (68.186)
Epoch: [75][5010/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.4339 (2.5485)	Prec@1 39.844 (38.323)	Prec@5 70.703 (68.188)
Epoch: [75][5020/7045]	Time 0.510 (0.249)	Data 0.459 (0.182)	Loss 2.4086 (2.5483)	Prec@1 40.234 (38.325)	Prec@5 72.656 (68.191)
Epoch: [75][5030/7045]	Time 0.293 (0.248)	Data 0.240 (0.182)	Loss 2.8149 (2.5483)	Prec@1 34.766 (38.325)	Prec@5 64.062 (68.191)
Epoch: [75][5040/7045]	Time 0.104 (0.249)	Data 0.001 (0.182)	Loss 2.6513 (2.5484)	Prec@1 34.375 (38.321)	Prec@5 65.234 (68.189)
Epoch: [75][5050/7045]	Time 0.102 (0.248)	Data 0.008 (0.182)	Loss 2.5372 (2.5484)	Prec@1 44.922 (38.322)	Prec@5 67.969 (68.188)
Epoch: [75][5060/7045]	Time 0.102 (0.248)	Data 0.003 (0.182)	Loss 2.5911 (2.5485)	Prec@1 39.062 (38.318)	Prec@5 67.578 (68.185)
Epoch: [75][5070/7045]	Time 0.477 (0.248)	Data 0.425 (0.182)	Loss 2.5253 (2.5485)	Prec@1 39.062 (38.318)	Prec@5 68.750 (68.186)
Epoch: [75][5080/7045]	Time 0.126 (0.248)	Data 0.073 (0.182)	Loss 2.6804 (2.5486)	Prec@1 35.938 (38.317)	Prec@5 66.406 (68.186)
Epoch: [75][5090/7045]	Time 0.559 (0.248)	Data 0.506 (0.182)	Loss 2.6968 (2.5486)	Prec@1 32.812 (38.315)	Prec@5 68.359 (68.184)
Epoch: [75][5100/7045]	Time 0.214 (0.248)	Data 0.157 (0.182)	Loss 2.7423 (2.5487)	Prec@1 37.109 (38.314)	Prec@5 65.234 (68.183)
Epoch: [75][5110/7045]	Time 0.137 (0.248)	Data 0.084 (0.182)	Loss 2.5789 (2.5488)	Prec@1 37.500 (38.313)	Prec@5 67.969 (68.179)
Epoch: [75][5120/7045]	Time 0.581 (0.248)	Data 0.527 (0.182)	Loss 2.5527 (2.5490)	Prec@1 35.938 (38.311)	Prec@5 71.094 (68.176)
Epoch: [75][5130/7045]	Time 0.176 (0.248)	Data 0.125 (0.182)	Loss 2.5891 (2.5491)	Prec@1 33.203 (38.309)	Prec@5 67.578 (68.176)
Epoch: [75][5140/7045]	Time 0.302 (0.248)	Data 0.244 (0.182)	Loss 2.4072 (2.5490)	Prec@1 41.016 (38.307)	Prec@5 73.828 (68.178)
Epoch: [75][5150/7045]	Time 0.102 (0.248)	Data 0.001 (0.182)	Loss 2.4163 (2.5489)	Prec@1 38.281 (38.308)	Prec@5 73.438 (68.180)
Epoch: [75][5160/7045]	Time 0.108 (0.248)	Data 0.003 (0.182)	Loss 2.6518 (2.5489)	Prec@1 33.984 (38.306)	Prec@5 66.797 (68.182)
Epoch: [75][5170/7045]	Time 0.485 (0.248)	Data 0.434 (0.182)	Loss 2.4644 (2.5489)	Prec@1 37.500 (38.305)	Prec@5 73.047 (68.183)
Epoch: [75][5180/7045]	Time 0.109 (0.248)	Data 0.001 (0.182)	Loss 2.5192 (2.5490)	Prec@1 41.797 (38.303)	Prec@5 68.359 (68.180)
Epoch: [75][5190/7045]	Time 0.306 (0.248)	Data 0.254 (0.182)	Loss 2.7642 (2.5491)	Prec@1 33.594 (38.302)	Prec@5 63.672 (68.178)
Epoch: [75][5200/7045]	Time 0.783 (0.249)	Data 0.731 (0.182)	Loss 2.5773 (2.5491)	Prec@1 41.797 (38.302)	Prec@5 68.750 (68.178)
Epoch: [75][5210/7045]	Time 0.102 (0.248)	Data 0.001 (0.182)	Loss 2.5602 (2.5490)	Prec@1 43.750 (38.304)	Prec@5 65.625 (68.178)
Epoch: [75][5220/7045]	Time 0.599 (0.248)	Data 0.547 (0.182)	Loss 2.5976 (2.5492)	Prec@1 37.109 (38.302)	Prec@5 68.750 (68.175)
Epoch: [75][5230/7045]	Time 0.140 (0.248)	Data 0.087 (0.182)	Loss 2.6784 (2.5494)	Prec@1 37.891 (38.301)	Prec@5 65.234 (68.172)
Epoch: [75][5240/7045]	Time 0.109 (0.248)	Data 0.016 (0.182)	Loss 2.7145 (2.5494)	Prec@1 35.156 (38.298)	Prec@5 62.891 (68.171)
Epoch: [75][5250/7045]	Time 0.262 (0.248)	Data 0.211 (0.182)	Loss 2.5303 (2.5495)	Prec@1 39.844 (38.296)	Prec@5 68.359 (68.168)
Epoch: [75][5260/7045]	Time 0.103 (0.248)	Data 0.046 (0.182)	Loss 2.7720 (2.5495)	Prec@1 35.547 (38.296)	Prec@5 65.625 (68.170)
Epoch: [75][5270/7045]	Time 0.110 (0.248)	Data 0.001 (0.182)	Loss 2.4289 (2.5493)	Prec@1 40.234 (38.297)	Prec@5 71.875 (68.171)
Epoch: [75][5280/7045]	Time 0.111 (0.248)	Data 0.059 (0.182)	Loss 2.6156 (2.5493)	Prec@1 35.547 (38.297)	Prec@5 66.016 (68.171)
Epoch: [75][5290/7045]	Time 0.109 (0.248)	Data 0.001 (0.182)	Loss 2.5403 (2.5493)	Prec@1 33.984 (38.296)	Prec@5 67.969 (68.174)
Epoch: [75][5300/7045]	Time 0.109 (0.248)	Data 0.056 (0.182)	Loss 2.6579 (2.5495)	Prec@1 39.062 (38.293)	Prec@5 66.406 (68.172)
Epoch: [75][5310/7045]	Time 0.102 (0.248)	Data 0.004 (0.182)	Loss 2.6329 (2.5495)	Prec@1 37.891 (38.292)	Prec@5 66.406 (68.171)
Epoch: [75][5320/7045]	Time 0.586 (0.248)	Data 0.533 (0.182)	Loss 2.5400 (2.5496)	Prec@1 39.062 (38.291)	Prec@5 67.969 (68.170)
Epoch: [75][5330/7045]	Time 0.294 (0.248)	Data 0.241 (0.182)	Loss 2.6258 (2.5496)	Prec@1 36.719 (38.289)	Prec@5 66.406 (68.168)
Epoch: [75][5340/7045]	Time 0.103 (0.248)	Data 0.006 (0.182)	Loss 2.5031 (2.5495)	Prec@1 38.672 (38.292)	Prec@5 69.531 (68.169)
Epoch: [75][5350/7045]	Time 0.602 (0.248)	Data 0.549 (0.182)	Loss 2.4594 (2.5494)	Prec@1 35.547 (38.293)	Prec@5 67.578 (68.169)
Epoch: [75][5360/7045]	Time 0.104 (0.248)	Data 0.051 (0.182)	Loss 2.5695 (2.5495)	Prec@1 37.109 (38.293)	Prec@5 66.797 (68.167)
Epoch: [75][5370/7045]	Time 0.109 (0.248)	Data 0.001 (0.182)	Loss 2.6846 (2.5495)	Prec@1 32.031 (38.291)	Prec@5 66.797 (68.168)
Epoch: [75][5380/7045]	Time 0.106 (0.248)	Data 0.052 (0.182)	Loss 2.6504 (2.5494)	Prec@1 34.766 (38.290)	Prec@5 65.625 (68.169)
Epoch: [75][5390/7045]	Time 0.106 (0.248)	Data 0.053 (0.182)	Loss 2.4130 (2.5495)	Prec@1 42.188 (38.289)	Prec@5 70.703 (68.169)
Epoch: [75][5400/7045]	Time 0.198 (0.248)	Data 0.146 (0.182)	Loss 2.6569 (2.5494)	Prec@1 35.156 (38.291)	Prec@5 65.625 (68.171)
Epoch: [75][5410/7045]	Time 0.102 (0.248)	Data 0.001 (0.182)	Loss 2.5015 (2.5496)	Prec@1 39.453 (38.289)	Prec@5 65.625 (68.168)
Epoch: [75][5420/7045]	Time 0.281 (0.248)	Data 0.230 (0.182)	Loss 2.5447 (2.5496)	Prec@1 39.062 (38.288)	Prec@5 71.094 (68.172)
Epoch: [75][5430/7045]	Time 0.429 (0.248)	Data 0.378 (0.182)	Loss 2.5966 (2.5495)	Prec@1 35.156 (38.289)	Prec@5 66.016 (68.173)
Epoch: [75][5440/7045]	Time 0.107 (0.248)	Data 0.003 (0.182)	Loss 2.5960 (2.5495)	Prec@1 39.062 (38.287)	Prec@5 62.891 (68.172)
Epoch: [75][5450/7045]	Time 0.560 (0.248)	Data 0.501 (0.182)	Loss 2.4067 (2.5496)	Prec@1 40.625 (38.286)	Prec@5 69.922 (68.172)
Epoch: [75][5460/7045]	Time 0.102 (0.248)	Data 0.003 (0.182)	Loss 2.6441 (2.5495)	Prec@1 36.719 (38.286)	Prec@5 71.484 (68.174)
Epoch: [75][5470/7045]	Time 0.222 (0.248)	Data 0.163 (0.182)	Loss 2.5785 (2.5496)	Prec@1 34.375 (38.284)	Prec@5 68.750 (68.173)
Epoch: [75][5480/7045]	Time 0.102 (0.248)	Data 0.001 (0.182)	Loss 2.5351 (2.5495)	Prec@1 34.766 (38.285)	Prec@5 69.531 (68.173)
Epoch: [75][5490/7045]	Time 0.101 (0.248)	Data 0.048 (0.182)	Loss 2.3310 (2.5495)	Prec@1 44.531 (38.287)	Prec@5 73.047 (68.174)
Epoch: [75][5500/7045]	Time 0.102 (0.248)	Data 0.030 (0.182)	Loss 2.6494 (2.5496)	Prec@1 33.594 (38.285)	Prec@5 66.016 (68.173)
Epoch: [75][5510/7045]	Time 0.102 (0.248)	Data 0.006 (0.182)	Loss 2.4540 (2.5496)	Prec@1 42.188 (38.284)	Prec@5 71.484 (68.172)
Epoch: [75][5520/7045]	Time 0.102 (0.248)	Data 0.014 (0.182)	Loss 2.5309 (2.5496)	Prec@1 40.625 (38.284)	Prec@5 66.797 (68.172)
Epoch: [75][5530/7045]	Time 0.101 (0.248)	Data 0.006 (0.182)	Loss 2.4727 (2.5496)	Prec@1 43.750 (38.286)	Prec@5 69.141 (68.172)
Epoch: [75][5540/7045]	Time 0.485 (0.248)	Data 0.433 (0.182)	Loss 2.5433 (2.5495)	Prec@1 39.062 (38.288)	Prec@5 66.406 (68.171)
Epoch: [75][5550/7045]	Time 0.738 (0.248)	Data 0.678 (0.182)	Loss 2.5460 (2.5496)	Prec@1 34.375 (38.287)	Prec@5 69.922 (68.171)
Epoch: [75][5560/7045]	Time 0.103 (0.248)	Data 0.001 (0.182)	Loss 2.7472 (2.5496)	Prec@1 32.031 (38.285)	Prec@5 63.281 (68.170)
Epoch: [75][5570/7045]	Time 0.578 (0.248)	Data 0.526 (0.182)	Loss 2.4236 (2.5496)	Prec@1 40.625 (38.285)	Prec@5 71.484 (68.170)
Epoch: [75][5580/7045]	Time 0.103 (0.248)	Data 0.001 (0.181)	Loss 2.5227 (2.5495)	Prec@1 34.766 (38.285)	Prec@5 72.266 (68.171)
Epoch: [75][5590/7045]	Time 0.106 (0.248)	Data 0.054 (0.181)	Loss 2.5656 (2.5495)	Prec@1 41.406 (38.288)	Prec@5 66.406 (68.169)
Epoch: [75][5600/7045]	Time 0.101 (0.248)	Data 0.001 (0.181)	Loss 2.5379 (2.5496)	Prec@1 33.984 (38.285)	Prec@5 68.750 (68.166)
Epoch: [75][5610/7045]	Time 0.102 (0.248)	Data 0.006 (0.181)	Loss 2.4459 (2.5497)	Prec@1 39.453 (38.283)	Prec@5 70.703 (68.164)
Epoch: [75][5620/7045]	Time 0.548 (0.248)	Data 0.497 (0.181)	Loss 2.5452 (2.5498)	Prec@1 38.281 (38.283)	Prec@5 66.797 (68.162)
Epoch: [75][5630/7045]	Time 0.155 (0.248)	Data 0.103 (0.181)	Loss 2.5077 (2.5497)	Prec@1 39.844 (38.284)	Prec@5 70.312 (68.164)
Epoch: [75][5640/7045]	Time 0.636 (0.248)	Data 0.578 (0.181)	Loss 2.5039 (2.5498)	Prec@1 37.891 (38.283)	Prec@5 67.578 (68.163)
Epoch: [75][5650/7045]	Time 0.102 (0.248)	Data 0.001 (0.181)	Loss 2.3603 (2.5497)	Prec@1 40.234 (38.284)	Prec@5 75.000 (68.164)
Epoch: [75][5660/7045]	Time 0.106 (0.248)	Data 0.054 (0.181)	Loss 2.6251 (2.5498)	Prec@1 38.672 (38.283)	Prec@5 67.578 (68.162)
Epoch: [75][5670/7045]	Time 0.148 (0.248)	Data 0.096 (0.181)	Loss 2.6171 (2.5498)	Prec@1 35.938 (38.283)	Prec@5 66.797 (68.160)
Epoch: [75][5680/7045]	Time 0.102 (0.248)	Data 0.006 (0.181)	Loss 2.5036 (2.5499)	Prec@1 39.453 (38.284)	Prec@5 68.359 (68.159)
Epoch: [75][5690/7045]	Time 0.402 (0.248)	Data 0.350 (0.181)	Loss 2.5537 (2.5499)	Prec@1 37.891 (38.281)	Prec@5 67.578 (68.158)
Epoch: [75][5700/7045]	Time 0.103 (0.248)	Data 0.001 (0.181)	Loss 2.5643 (2.5499)	Prec@1 35.156 (38.283)	Prec@5 67.969 (68.156)
Epoch: [75][5710/7045]	Time 0.494 (0.248)	Data 0.444 (0.181)	Loss 2.4066 (2.5499)	Prec@1 42.578 (38.284)	Prec@5 70.312 (68.158)
Epoch: [75][5720/7045]	Time 0.173 (0.248)	Data 0.113 (0.181)	Loss 2.7685 (2.5499)	Prec@1 32.422 (38.284)	Prec@5 64.062 (68.157)
Epoch: [75][5730/7045]	Time 0.481 (0.248)	Data 0.429 (0.181)	Loss 2.4498 (2.5501)	Prec@1 39.844 (38.282)	Prec@5 69.922 (68.156)
Epoch: [75][5740/7045]	Time 0.194 (0.248)	Data 0.142 (0.181)	Loss 2.4329 (2.5501)	Prec@1 41.406 (38.282)	Prec@5 70.312 (68.155)
Epoch: [75][5750/7045]	Time 0.111 (0.248)	Data 0.059 (0.181)	Loss 2.5129 (2.5500)	Prec@1 41.797 (38.282)	Prec@5 64.453 (68.156)
Epoch: [75][5760/7045]	Time 0.102 (0.248)	Data 0.001 (0.181)	Loss 2.3434 (2.5500)	Prec@1 39.844 (38.282)	Prec@5 71.484 (68.158)
Epoch: [75][5770/7045]	Time 0.102 (0.248)	Data 0.002 (0.181)	Loss 2.5566 (2.5500)	Prec@1 33.984 (38.280)	Prec@5 71.094 (68.158)
Epoch: [75][5780/7045]	Time 0.470 (0.248)	Data 0.419 (0.181)	Loss 2.5889 (2.5501)	Prec@1 36.719 (38.279)	Prec@5 67.188 (68.156)
Epoch: [75][5790/7045]	Time 0.121 (0.248)	Data 0.069 (0.181)	Loss 2.5870 (2.5501)	Prec@1 40.234 (38.277)	Prec@5 66.797 (68.155)
Epoch: [75][5800/7045]	Time 0.393 (0.248)	Data 0.342 (0.181)	Loss 2.6499 (2.5501)	Prec@1 37.891 (38.280)	Prec@5 68.750 (68.154)
Epoch: [75][5810/7045]	Time 0.409 (0.248)	Data 0.349 (0.181)	Loss 2.5192 (2.5501)	Prec@1 39.844 (38.281)	Prec@5 69.922 (68.156)
Epoch: [75][5820/7045]	Time 0.099 (0.248)	Data 0.001 (0.181)	Loss 2.6082 (2.5500)	Prec@1 39.062 (38.282)	Prec@5 67.578 (68.157)
Epoch: [75][5830/7045]	Time 0.561 (0.248)	Data 0.510 (0.181)	Loss 2.5337 (2.5501)	Prec@1 36.328 (38.280)	Prec@5 70.312 (68.154)
Epoch: [75][5840/7045]	Time 0.270 (0.248)	Data 0.217 (0.181)	Loss 2.6271 (2.5502)	Prec@1 37.109 (38.279)	Prec@5 66.016 (68.152)
Epoch: [75][5850/7045]	Time 0.206 (0.248)	Data 0.154 (0.181)	Loss 2.7434 (2.5503)	Prec@1 35.156 (38.276)	Prec@5 65.234 (68.153)
Epoch: [75][5860/7045]	Time 0.633 (0.248)	Data 0.582 (0.181)	Loss 2.5752 (2.5503)	Prec@1 35.156 (38.276)	Prec@5 68.750 (68.155)
Epoch: [75][5870/7045]	Time 0.103 (0.248)	Data 0.001 (0.181)	Loss 2.5032 (2.5504)	Prec@1 39.062 (38.275)	Prec@5 69.922 (68.153)
Epoch: [75][5880/7045]	Time 0.106 (0.248)	Data 0.054 (0.181)	Loss 2.5737 (2.5504)	Prec@1 40.234 (38.276)	Prec@5 69.531 (68.152)
Epoch: [75][5890/7045]	Time 0.340 (0.248)	Data 0.287 (0.181)	Loss 2.4300 (2.5503)	Prec@1 39.453 (38.279)	Prec@5 69.922 (68.153)
Epoch: [75][5900/7045]	Time 0.102 (0.248)	Data 0.005 (0.181)	Loss 2.6792 (2.5502)	Prec@1 35.156 (38.281)	Prec@5 65.234 (68.155)
Epoch: [75][5910/7045]	Time 0.102 (0.248)	Data 0.002 (0.181)	Loss 2.5300 (2.5501)	Prec@1 35.938 (38.282)	Prec@5 69.922 (68.158)
Epoch: [75][5920/7045]	Time 0.208 (0.248)	Data 0.158 (0.181)	Loss 2.5530 (2.5501)	Prec@1 36.719 (38.283)	Prec@5 67.188 (68.158)
Epoch: [75][5930/7045]	Time 0.101 (0.248)	Data 0.005 (0.181)	Loss 2.4969 (2.5502)	Prec@1 39.844 (38.281)	Prec@5 69.531 (68.157)
Epoch: [75][5940/7045]	Time 0.123 (0.248)	Data 0.071 (0.181)	Loss 2.6319 (2.5502)	Prec@1 41.016 (38.283)	Prec@5 67.188 (68.158)
Epoch: [75][5950/7045]	Time 0.188 (0.248)	Data 0.137 (0.181)	Loss 2.3898 (2.5502)	Prec@1 40.625 (38.283)	Prec@5 69.922 (68.159)
Epoch: [75][5960/7045]	Time 0.103 (0.248)	Data 0.001 (0.181)	Loss 2.4891 (2.5503)	Prec@1 41.016 (38.281)	Prec@5 68.359 (68.158)
Epoch: [75][5970/7045]	Time 0.300 (0.248)	Data 0.248 (0.181)	Loss 2.7364 (2.5503)	Prec@1 32.422 (38.279)	Prec@5 64.844 (68.157)
Epoch: [75][5980/7045]	Time 0.568 (0.248)	Data 0.516 (0.181)	Loss 2.6418 (2.5503)	Prec@1 37.109 (38.279)	Prec@5 68.359 (68.157)
Epoch: [75][5990/7045]	Time 0.103 (0.248)	Data 0.001 (0.181)	Loss 2.4884 (2.5504)	Prec@1 39.062 (38.277)	Prec@5 71.484 (68.155)
Epoch: [75][6000/7045]	Time 0.179 (0.248)	Data 0.127 (0.181)	Loss 2.2134 (2.5503)	Prec@1 48.047 (38.278)	Prec@5 73.828 (68.155)
Epoch: [75][6010/7045]	Time 0.102 (0.248)	Data 0.001 (0.181)	Loss 2.6335 (2.5503)	Prec@1 38.281 (38.278)	Prec@5 68.359 (68.155)
Epoch: [75][6020/7045]	Time 0.265 (0.248)	Data 0.213 (0.181)	Loss 2.6448 (2.5503)	Prec@1 36.719 (38.279)	Prec@5 66.016 (68.153)
Epoch: [75][6030/7045]	Time 0.103 (0.248)	Data 0.001 (0.181)	Loss 2.6536 (2.5503)	Prec@1 37.109 (38.281)	Prec@5 69.531 (68.155)
Epoch: [75][6040/7045]	Time 0.114 (0.248)	Data 0.062 (0.181)	Loss 2.6763 (2.5503)	Prec@1 34.375 (38.282)	Prec@5 68.750 (68.156)
Epoch: [75][6050/7045]	Time 0.102 (0.248)	Data 0.001 (0.181)	Loss 2.6387 (2.5503)	Prec@1 38.281 (38.284)	Prec@5 67.969 (68.157)
Epoch: [75][6060/7045]	Time 0.558 (0.248)	Data 0.499 (0.181)	Loss 2.5115 (2.5502)	Prec@1 35.156 (38.284)	Prec@5 72.266 (68.159)
Epoch: [75][6070/7045]	Time 0.110 (0.248)	Data 0.058 (0.181)	Loss 2.5194 (2.5502)	Prec@1 39.062 (38.284)	Prec@5 71.094 (68.159)
Epoch: [75][6080/7045]	Time 0.365 (0.248)	Data 0.312 (0.181)	Loss 2.5312 (2.5501)	Prec@1 38.281 (38.284)	Prec@5 67.188 (68.159)
Epoch: [75][6090/7045]	Time 0.310 (0.248)	Data 0.258 (0.181)	Loss 2.6550 (2.5501)	Prec@1 38.281 (38.285)	Prec@5 69.922 (68.160)
Epoch: [75][6100/7045]	Time 0.545 (0.248)	Data 0.493 (0.181)	Loss 2.6491 (2.5501)	Prec@1 38.672 (38.287)	Prec@5 65.234 (68.160)
Epoch: [75][6110/7045]	Time 0.108 (0.248)	Data 0.005 (0.181)	Loss 2.3927 (2.5500)	Prec@1 42.969 (38.288)	Prec@5 71.875 (68.160)
Epoch: [75][6120/7045]	Time 0.102 (0.248)	Data 0.007 (0.181)	Loss 2.7784 (2.5500)	Prec@1 32.812 (38.289)	Prec@5 62.891 (68.161)
Epoch: [75][6130/7045]	Time 0.509 (0.248)	Data 0.457 (0.181)	Loss 2.6836 (2.5501)	Prec@1 35.938 (38.289)	Prec@5 68.359 (68.160)
Epoch: [75][6140/7045]	Time 0.102 (0.248)	Data 0.006 (0.181)	Loss 2.6436 (2.5501)	Prec@1 36.719 (38.288)	Prec@5 67.969 (68.161)
Epoch: [75][6150/7045]	Time 0.233 (0.248)	Data 0.173 (0.181)	Loss 2.6146 (2.5501)	Prec@1 41.016 (38.290)	Prec@5 66.797 (68.161)
Epoch: [75][6160/7045]	Time 0.101 (0.248)	Data 0.005 (0.181)	Loss 2.7260 (2.5502)	Prec@1 37.891 (38.287)	Prec@5 67.188 (68.158)
Epoch: [75][6170/7045]	Time 0.102 (0.248)	Data 0.049 (0.181)	Loss 2.5689 (2.5503)	Prec@1 35.938 (38.287)	Prec@5 67.188 (68.157)
Epoch: [75][6180/7045]	Time 0.274 (0.248)	Data 0.222 (0.181)	Loss 2.4352 (2.5501)	Prec@1 38.672 (38.290)	Prec@5 72.266 (68.161)
Epoch: [75][6190/7045]	Time 0.500 (0.248)	Data 0.448 (0.181)	Loss 2.7166 (2.5502)	Prec@1 35.547 (38.289)	Prec@5 66.797 (68.160)
Epoch: [75][6200/7045]	Time 0.175 (0.248)	Data 0.123 (0.181)	Loss 2.7782 (2.5502)	Prec@1 33.984 (38.288)	Prec@5 63.281 (68.159)
Epoch: [75][6210/7045]	Time 0.103 (0.248)	Data 0.004 (0.181)	Loss 2.8695 (2.5502)	Prec@1 36.328 (38.290)	Prec@5 58.984 (68.158)
Epoch: [75][6220/7045]	Time 0.401 (0.248)	Data 0.350 (0.181)	Loss 2.5708 (2.5504)	Prec@1 37.109 (38.287)	Prec@5 70.312 (68.156)
Epoch: [75][6230/7045]	Time 0.103 (0.248)	Data 0.050 (0.181)	Loss 2.4918 (2.5503)	Prec@1 41.797 (38.287)	Prec@5 67.578 (68.157)
Epoch: [75][6240/7045]	Time 0.283 (0.248)	Data 0.231 (0.181)	Loss 2.5734 (2.5504)	Prec@1 35.547 (38.286)	Prec@5 64.062 (68.155)
Epoch: [75][6250/7045]	Time 0.626 (0.248)	Data 0.568 (0.181)	Loss 2.4647 (2.5504)	Prec@1 40.234 (38.286)	Prec@5 69.531 (68.154)
Epoch: [75][6260/7045]	Time 0.108 (0.248)	Data 0.056 (0.181)	Loss 2.5589 (2.5505)	Prec@1 36.719 (38.281)	Prec@5 70.312 (68.152)
Epoch: [75][6270/7045]	Time 0.155 (0.248)	Data 0.104 (0.181)	Loss 2.4488 (2.5505)	Prec@1 42.969 (38.282)	Prec@5 71.875 (68.153)
Epoch: [75][6280/7045]	Time 0.102 (0.248)	Data 0.001 (0.181)	Loss 2.6977 (2.5504)	Prec@1 34.766 (38.285)	Prec@5 64.844 (68.156)
Epoch: [75][6290/7045]	Time 0.178 (0.248)	Data 0.126 (0.181)	Loss 2.7476 (2.5505)	Prec@1 33.203 (38.283)	Prec@5 65.625 (68.153)
Epoch: [75][6300/7045]	Time 0.356 (0.248)	Data 0.304 (0.181)	Loss 2.5559 (2.5505)	Prec@1 37.109 (38.284)	Prec@5 68.359 (68.155)
Epoch: [75][6310/7045]	Time 0.135 (0.248)	Data 0.084 (0.181)	Loss 2.7324 (2.5505)	Prec@1 33.984 (38.284)	Prec@5 64.062 (68.155)
Epoch: [75][6320/7045]	Time 0.669 (0.248)	Data 0.609 (0.181)	Loss 2.4581 (2.5505)	Prec@1 42.578 (38.283)	Prec@5 69.141 (68.154)
Epoch: [75][6330/7045]	Time 0.102 (0.248)	Data 0.001 (0.181)	Loss 2.2966 (2.5504)	Prec@1 41.797 (38.284)	Prec@5 72.656 (68.157)
Epoch: [75][6340/7045]	Time 0.551 (0.248)	Data 0.499 (0.181)	Loss 2.4944 (2.5505)	Prec@1 36.719 (38.283)	Prec@5 66.797 (68.156)
Epoch: [75][6350/7045]	Time 0.102 (0.248)	Data 0.006 (0.181)	Loss 2.3559 (2.5505)	Prec@1 39.453 (38.283)	Prec@5 71.094 (68.156)
Epoch: [75][6360/7045]	Time 0.275 (0.248)	Data 0.223 (0.181)	Loss 2.5494 (2.5504)	Prec@1 40.234 (38.284)	Prec@5 66.016 (68.155)
Epoch: [75][6370/7045]	Time 0.102 (0.248)	Data 0.051 (0.181)	Loss 2.5555 (2.5505)	Prec@1 39.062 (38.282)	Prec@5 66.016 (68.155)
Epoch: [75][6380/7045]	Time 0.108 (0.248)	Data 0.007 (0.181)	Loss 2.6176 (2.5505)	Prec@1 35.547 (38.282)	Prec@5 65.625 (68.155)
Epoch: [75][6390/7045]	Time 0.556 (0.248)	Data 0.503 (0.181)	Loss 2.6698 (2.5506)	Prec@1 39.844 (38.281)	Prec@5 64.844 (68.152)
Epoch: [75][6400/7045]	Time 0.108 (0.248)	Data 0.001 (0.181)	Loss 2.6894 (2.5506)	Prec@1 36.719 (38.283)	Prec@5 65.625 (68.152)
Epoch: [75][6410/7045]	Time 0.511 (0.248)	Data 0.452 (0.181)	Loss 2.6210 (2.5507)	Prec@1 35.156 (38.279)	Prec@5 69.531 (68.150)
Epoch: [75][6420/7045]	Time 0.176 (0.248)	Data 0.125 (0.181)	Loss 2.2740 (2.5507)	Prec@1 42.969 (38.280)	Prec@5 70.312 (68.150)
Epoch: [75][6430/7045]	Time 0.269 (0.248)	Data 0.218 (0.181)	Loss 2.6957 (2.5507)	Prec@1 36.328 (38.281)	Prec@5 65.234 (68.151)
Epoch: [75][6440/7045]	Time 0.144 (0.248)	Data 0.091 (0.181)	Loss 2.7786 (2.5508)	Prec@1 33.594 (38.280)	Prec@5 60.547 (68.150)
Epoch: [75][6450/7045]	Time 0.102 (0.248)	Data 0.001 (0.181)	Loss 2.7540 (2.5508)	Prec@1 33.984 (38.281)	Prec@5 65.625 (68.148)
Epoch: [75][6460/7045]	Time 0.102 (0.248)	Data 0.001 (0.181)	Loss 2.6295 (2.5508)	Prec@1 37.891 (38.281)	Prec@5 66.406 (68.148)
Epoch: [75][6470/7045]	Time 0.164 (0.248)	Data 0.112 (0.181)	Loss 2.6939 (2.5509)	Prec@1 35.156 (38.279)	Prec@5 66.406 (68.146)
Epoch: [75][6480/7045]	Time 0.363 (0.248)	Data 0.312 (0.181)	Loss 2.5811 (2.5510)	Prec@1 37.891 (38.278)	Prec@5 66.406 (68.145)
Epoch: [75][6490/7045]	Time 0.103 (0.248)	Data 0.005 (0.181)	Loss 2.5044 (2.5510)	Prec@1 41.406 (38.279)	Prec@5 72.656 (68.146)
Epoch: [75][6500/7045]	Time 0.257 (0.248)	Data 0.206 (0.181)	Loss 2.8190 (2.5511)	Prec@1 33.203 (38.279)	Prec@5 66.406 (68.145)
Epoch: [75][6510/7045]	Time 0.111 (0.248)	Data 0.058 (0.181)	Loss 2.7446 (2.5511)	Prec@1 35.547 (38.278)	Prec@5 64.062 (68.146)
Epoch: [75][6520/7045]	Time 0.362 (0.248)	Data 0.310 (0.181)	Loss 2.6317 (2.5510)	Prec@1 32.031 (38.278)	Prec@5 66.016 (68.146)
Epoch: [75][6530/7045]	Time 0.113 (0.248)	Data 0.061 (0.181)	Loss 2.5349 (2.5510)	Prec@1 38.672 (38.277)	Prec@5 66.797 (68.146)
Epoch: [75][6540/7045]	Time 0.366 (0.248)	Data 0.313 (0.181)	Loss 2.4306 (2.5510)	Prec@1 37.891 (38.278)	Prec@5 73.828 (68.146)
Epoch: [75][6550/7045]	Time 0.272 (0.248)	Data 0.220 (0.181)	Loss 2.7318 (2.5511)	Prec@1 34.375 (38.277)	Prec@5 66.406 (68.146)
Epoch: [75][6560/7045]	Time 0.160 (0.248)	Data 0.108 (0.181)	Loss 2.5668 (2.5511)	Prec@1 35.547 (38.276)	Prec@5 69.141 (68.146)
Epoch: [75][6570/7045]	Time 0.102 (0.248)	Data 0.050 (0.181)	Loss 2.6312 (2.5511)	Prec@1 33.594 (38.275)	Prec@5 67.188 (68.146)
Epoch: [75][6580/7045]	Time 0.101 (0.248)	Data 0.017 (0.181)	Loss 2.2475 (2.5510)	Prec@1 44.141 (38.277)	Prec@5 73.438 (68.147)
Epoch: [75][6590/7045]	Time 0.308 (0.248)	Data 0.248 (0.181)	Loss 2.6457 (2.5510)	Prec@1 34.375 (38.274)	Prec@5 68.359 (68.146)
Epoch: [75][6600/7045]	Time 0.378 (0.248)	Data 0.318 (0.181)	Loss 2.5599 (2.5511)	Prec@1 37.891 (38.274)	Prec@5 66.797 (68.144)
Epoch: [75][6610/7045]	Time 0.102 (0.248)	Data 0.001 (0.181)	Loss 2.5685 (2.5512)	Prec@1 35.547 (38.271)	Prec@5 67.969 (68.142)
Epoch: [75][6620/7045]	Time 0.217 (0.248)	Data 0.165 (0.181)	Loss 2.5483 (2.5512)	Prec@1 37.109 (38.270)	Prec@5 69.922 (68.142)
Epoch: [75][6630/7045]	Time 0.292 (0.248)	Data 0.240 (0.181)	Loss 2.7065 (2.5513)	Prec@1 37.500 (38.270)	Prec@5 65.234 (68.142)
Epoch: [75][6640/7045]	Time 0.110 (0.248)	Data 0.001 (0.181)	Loss 2.6113 (2.5513)	Prec@1 37.109 (38.270)	Prec@5 68.750 (68.142)
Epoch: [75][6650/7045]	Time 0.376 (0.248)	Data 0.319 (0.181)	Loss 2.5782 (2.5513)	Prec@1 39.844 (38.269)	Prec@5 64.844 (68.141)
Epoch: [75][6660/7045]	Time 0.428 (0.248)	Data 0.377 (0.181)	Loss 2.7548 (2.5513)	Prec@1 35.938 (38.270)	Prec@5 65.625 (68.140)
Epoch: [75][6670/7045]	Time 0.113 (0.248)	Data 0.060 (0.181)	Loss 2.8647 (2.5513)	Prec@1 32.422 (38.271)	Prec@5 60.938 (68.142)
Epoch: [75][6680/7045]	Time 0.450 (0.248)	Data 0.399 (0.181)	Loss 2.5291 (2.5513)	Prec@1 40.234 (38.273)	Prec@5 63.672 (68.141)
Epoch: [75][6690/7045]	Time 0.103 (0.248)	Data 0.001 (0.181)	Loss 2.6009 (2.5513)	Prec@1 37.891 (38.275)	Prec@5 67.578 (68.140)
Epoch: [75][6700/7045]	Time 0.116 (0.248)	Data 0.064 (0.181)	Loss 2.5706 (2.5513)	Prec@1 38.672 (38.275)	Prec@5 68.750 (68.141)
Epoch: [75][6710/7045]	Time 0.483 (0.248)	Data 0.432 (0.181)	Loss 2.6750 (2.5513)	Prec@1 35.938 (38.275)	Prec@5 66.797 (68.141)
Epoch: [75][6720/7045]	Time 0.101 (0.248)	Data 0.001 (0.181)	Loss 2.4917 (2.5513)	Prec@1 37.109 (38.271)	Prec@5 68.750 (68.141)
Epoch: [75][6730/7045]	Time 0.150 (0.248)	Data 0.100 (0.181)	Loss 2.5551 (2.5514)	Prec@1 40.234 (38.271)	Prec@5 66.016 (68.139)
Epoch: [75][6740/7045]	Time 0.576 (0.248)	Data 0.523 (0.181)	Loss 2.5196 (2.5515)	Prec@1 34.375 (38.269)	Prec@5 67.188 (68.138)
Epoch: [75][6750/7045]	Time 0.529 (0.248)	Data 0.477 (0.181)	Loss 2.4980 (2.5515)	Prec@1 40.234 (38.270)	Prec@5 67.578 (68.138)
Epoch: [75][6760/7045]	Time 0.101 (0.248)	Data 0.001 (0.181)	Loss 2.3901 (2.5514)	Prec@1 40.234 (38.271)	Prec@5 72.266 (68.138)
Epoch: [75][6770/7045]	Time 0.108 (0.248)	Data 0.001 (0.181)	Loss 2.5757 (2.5515)	Prec@1 36.328 (38.269)	Prec@5 66.406 (68.136)
Epoch: [75][6780/7045]	Time 0.501 (0.248)	Data 0.447 (0.181)	Loss 2.5475 (2.5515)	Prec@1 40.625 (38.270)	Prec@5 67.578 (68.135)
Epoch: [75][6790/7045]	Time 0.112 (0.248)	Data 0.059 (0.181)	Loss 2.6690 (2.5516)	Prec@1 37.891 (38.271)	Prec@5 64.453 (68.134)
Epoch: [75][6800/7045]	Time 0.107 (0.248)	Data 0.008 (0.181)	Loss 2.5098 (2.5516)	Prec@1 39.453 (38.271)	Prec@5 72.266 (68.133)
Epoch: [75][6810/7045]	Time 0.102 (0.248)	Data 0.001 (0.181)	Loss 2.6743 (2.5515)	Prec@1 37.109 (38.272)	Prec@5 62.109 (68.134)
Epoch: [75][6820/7045]	Time 0.166 (0.248)	Data 0.114 (0.181)	Loss 2.6418 (2.5514)	Prec@1 37.109 (38.273)	Prec@5 69.922 (68.136)
Epoch: [75][6830/7045]	Time 0.400 (0.248)	Data 0.341 (0.181)	Loss 2.6844 (2.5514)	Prec@1 38.281 (38.273)	Prec@5 65.234 (68.138)
Epoch: [75][6840/7045]	Time 0.108 (0.248)	Data 0.055 (0.181)	Loss 2.6577 (2.5515)	Prec@1 34.375 (38.271)	Prec@5 65.234 (68.135)
Epoch: [75][6850/7045]	Time 0.306 (0.248)	Data 0.255 (0.181)	Loss 2.5120 (2.5515)	Prec@1 37.500 (38.270)	Prec@5 67.969 (68.136)
Epoch: [75][6860/7045]	Time 0.191 (0.248)	Data 0.139 (0.181)	Loss 2.5022 (2.5514)	Prec@1 35.938 (38.270)	Prec@5 70.703 (68.137)
Epoch: [75][6870/7045]	Time 0.114 (0.248)	Data 0.061 (0.181)	Loss 2.6412 (2.5514)	Prec@1 40.625 (38.271)	Prec@5 66.016 (68.136)
Epoch: [75][6880/7045]	Time 0.612 (0.248)	Data 0.553 (0.181)	Loss 2.4179 (2.5515)	Prec@1 42.969 (38.269)	Prec@5 68.750 (68.136)
Epoch: [75][6890/7045]	Time 0.102 (0.248)	Data 0.003 (0.181)	Loss 2.6099 (2.5515)	Prec@1 38.281 (38.270)	Prec@5 64.844 (68.136)
Epoch: [75][6900/7045]	Time 0.182 (0.248)	Data 0.131 (0.181)	Loss 2.5812 (2.5515)	Prec@1 32.422 (38.268)	Prec@5 68.359 (68.135)
Epoch: [75][6910/7045]	Time 0.101 (0.248)	Data 0.001 (0.181)	Loss 2.7312 (2.5516)	Prec@1 37.109 (38.265)	Prec@5 66.406 (68.135)
Epoch: [75][6920/7045]	Time 0.102 (0.248)	Data 0.003 (0.181)	Loss 2.6207 (2.5517)	Prec@1 35.938 (38.264)	Prec@5 67.578 (68.134)
Epoch: [75][6930/7045]	Time 0.261 (0.248)	Data 0.210 (0.181)	Loss 2.5435 (2.5518)	Prec@1 39.062 (38.266)	Prec@5 66.406 (68.132)
Epoch: [75][6940/7045]	Time 0.102 (0.248)	Data 0.006 (0.181)	Loss 2.8300 (2.5518)	Prec@1 32.031 (38.265)	Prec@5 61.719 (68.130)
Epoch: [75][6950/7045]	Time 0.350 (0.248)	Data 0.296 (0.181)	Loss 2.5471 (2.5519)	Prec@1 37.891 (38.263)	Prec@5 67.188 (68.129)
Epoch: [75][6960/7045]	Time 0.289 (0.248)	Data 0.236 (0.181)	Loss 2.5011 (2.5518)	Prec@1 39.844 (38.265)	Prec@5 70.312 (68.130)
Epoch: [75][6970/7045]	Time 0.102 (0.248)	Data 0.001 (0.181)	Loss 2.6183 (2.5518)	Prec@1 33.203 (38.264)	Prec@5 65.234 (68.129)
Epoch: [75][6980/7045]	Time 0.468 (0.248)	Data 0.417 (0.181)	Loss 2.5188 (2.5518)	Prec@1 39.062 (38.262)	Prec@5 67.188 (68.128)
Epoch: [75][6990/7045]	Time 0.147 (0.248)	Data 0.094 (0.181)	Loss 2.7297 (2.5519)	Prec@1 34.766 (38.261)	Prec@5 65.625 (68.127)
Epoch: [75][7000/7045]	Time 0.109 (0.248)	Data 0.002 (0.181)	Loss 2.5536 (2.5519)	Prec@1 41.797 (38.262)	Prec@5 69.141 (68.128)
Epoch: [75][7010/7045]	Time 0.203 (0.248)	Data 0.151 (0.181)	Loss 2.6612 (2.5519)	Prec@1 37.109 (38.261)	Prec@5 67.969 (68.128)
Epoch: [75][7020/7045]	Time 0.102 (0.248)	Data 0.009 (0.181)	Loss 2.6802 (2.5519)	Prec@1 32.812 (38.260)	Prec@5 62.891 (68.127)
Epoch: [75][7030/7045]	Time 0.551 (0.248)	Data 0.500 (0.181)	Loss 2.6429 (2.5519)	Prec@1 38.281 (38.261)	Prec@5 66.406 (68.128)
Epoch: [75][7040/7045]	Time 0.465 (0.248)	Data 0.412 (0.181)	Loss 2.5164 (2.5519)	Prec@1 39.844 (38.258)	Prec@5 67.188 (68.127)
Test: [0/143]	Time 1.254 (1.254)	Loss 2.2305 (2.2305)	Prec@1 45.312 (45.312)	Prec@5 74.609 (74.609)
Test: [10/143]	Time 0.062 (0.246)	Loss 1.6726 (2.0074)	Prec@1 62.891 (49.929)	Prec@5 83.203 (78.906)
Test: [20/143]	Time 0.448 (0.219)	Loss 2.2389 (1.9883)	Prec@1 44.922 (49.126)	Prec@5 74.609 (79.315)
Test: [30/143]	Time 0.120 (0.202)	Loss 2.1899 (2.0053)	Prec@1 46.484 (48.954)	Prec@5 71.484 (78.528)
Test: [40/143]	Time 0.403 (0.195)	Loss 2.8058 (2.0437)	Prec@1 23.828 (47.913)	Prec@5 64.844 (77.591)
Test: [50/143]	Time 0.061 (0.187)	Loss 1.8499 (2.0946)	Prec@1 46.875 (46.293)	Prec@5 82.422 (77.099)
Test: [60/143]	Time 0.422 (0.186)	Loss 2.3398 (2.0872)	Prec@1 36.719 (46.440)	Prec@5 75.781 (77.382)
Test: [70/143]	Time 0.115 (0.182)	Loss 2.9442 (2.0819)	Prec@1 29.688 (46.660)	Prec@5 59.375 (77.514)
Test: [80/143]	Time 0.378 (0.182)	Loss 2.0445 (2.0756)	Prec@1 48.438 (46.832)	Prec@5 80.469 (77.758)
Test: [90/143]	Time 0.105 (0.179)	Loss 1.8867 (2.0725)	Prec@1 52.734 (46.862)	Prec@5 83.594 (77.825)
Test: [100/143]	Time 0.321 (0.179)	Loss 1.9613 (2.0753)	Prec@1 52.734 (46.732)	Prec@5 82.422 (77.901)
Test: [110/143]	Time 0.128 (0.177)	Loss 1.8254 (2.0716)	Prec@1 52.734 (46.970)	Prec@5 82.812 (78.023)
Test: [120/143]	Time 0.345 (0.177)	Loss 1.7099 (2.0612)	Prec@1 58.594 (47.308)	Prec@5 85.547 (78.190)
Test: [130/143]	Time 0.132 (0.175)	Loss 1.5921 (2.0706)	Prec@1 65.234 (47.212)	Prec@5 80.859 (77.937)
Test: [140/143]	Time 0.369 (0.176)	Loss 3.1004 (2.0957)	Prec@1 24.219 (46.617)	Prec@5 60.156 (77.460)
 * Prec@1 46.652 Prec@5 77.474
Epoch: [76][0/7045]	Time 2.439 (2.439)	Data 2.369 (2.369)	Loss 2.5567 (2.5567)	Prec@1 39.062 (39.062)	Prec@5 67.188 (67.188)
Epoch: [76][10/7045]	Time 0.102 (0.426)	Data 0.001 (0.350)	Loss 2.3917 (2.5090)	Prec@1 38.672 (38.033)	Prec@5 71.484 (68.857)
Epoch: [76][20/7045]	Time 0.372 (0.348)	Data 0.322 (0.279)	Loss 2.4519 (2.4887)	Prec@1 38.281 (38.411)	Prec@5 69.141 (69.141)
Epoch: [76][30/7045]	Time 0.820 (0.326)	Data 0.767 (0.259)	Loss 2.5720 (2.5110)	Prec@1 35.938 (38.407)	Prec@5 69.922 (69.002)
Epoch: [76][40/7045]	Time 0.099 (0.300)	Data 0.001 (0.228)	Loss 2.5252 (2.5220)	Prec@1 40.625 (38.500)	Prec@5 69.141 (68.817)
Epoch: [76][50/7045]	Time 0.565 (0.292)	Data 0.506 (0.219)	Loss 2.5367 (2.5257)	Prec@1 41.016 (38.534)	Prec@5 66.016 (68.635)
Epoch: [76][60/7045]	Time 0.180 (0.280)	Data 0.129 (0.211)	Loss 2.7214 (2.5335)	Prec@1 35.547 (38.525)	Prec@5 63.672 (68.558)
Epoch: [76][70/7045]	Time 0.101 (0.279)	Data 0.008 (0.211)	Loss 2.2348 (2.5302)	Prec@1 44.922 (38.672)	Prec@5 67.969 (68.464)
Epoch: [76][80/7045]	Time 0.372 (0.275)	Data 0.320 (0.206)	Loss 2.5752 (2.5253)	Prec@1 39.453 (38.855)	Prec@5 68.750 (68.567)
Epoch: [76][90/7045]	Time 0.101 (0.272)	Data 0.001 (0.202)	Loss 2.5815 (2.5227)	Prec@1 41.016 (38.990)	Prec@5 66.406 (68.583)
Epoch: [76][100/7045]	Time 0.113 (0.270)	Data 0.055 (0.202)	Loss 2.4969 (2.5295)	Prec@1 38.672 (38.803)	Prec@5 69.922 (68.495)
Epoch: [76][110/7045]	Time 0.259 (0.268)	Data 0.206 (0.199)	Loss 2.5902 (2.5299)	Prec@1 43.359 (38.883)	Prec@5 64.844 (68.497)
Epoch: [76][120/7045]	Time 0.122 (0.265)	Data 0.069 (0.198)	Loss 2.6236 (2.5314)	Prec@1 38.672 (38.817)	Prec@5 66.406 (68.534)
Epoch: [76][130/7045]	Time 0.104 (0.267)	Data 0.052 (0.199)	Loss 2.6650 (2.5365)	Prec@1 39.062 (38.785)	Prec@5 66.016 (68.428)
Epoch: [76][140/7045]	Time 0.509 (0.266)	Data 0.457 (0.198)	Loss 2.5398 (2.5371)	Prec@1 37.109 (38.680)	Prec@5 71.094 (68.406)
Epoch: [76][150/7045]	Time 0.101 (0.265)	Data 0.001 (0.196)	Loss 2.5572 (2.5374)	Prec@1 38.281 (38.773)	Prec@5 67.188 (68.377)
Epoch: [76][160/7045]	Time 0.443 (0.263)	Data 0.379 (0.195)	Loss 2.5472 (2.5346)	Prec@1 41.016 (38.883)	Prec@5 66.797 (68.405)
Epoch: [76][170/7045]	Time 0.102 (0.261)	Data 0.005 (0.193)	Loss 2.4520 (2.5318)	Prec@1 38.281 (38.884)	Prec@5 71.094 (68.439)
Epoch: [76][180/7045]	Time 0.115 (0.262)	Data 0.065 (0.193)	Loss 2.5925 (2.5322)	Prec@1 37.891 (38.847)	Prec@5 67.578 (68.405)
Epoch: [76][190/7045]	Time 0.338 (0.261)	Data 0.285 (0.193)	Loss 2.4946 (2.5321)	Prec@1 38.672 (38.840)	Prec@5 69.531 (68.408)
Epoch: [76][200/7045]	Time 0.150 (0.259)	Data 0.099 (0.191)	Loss 2.5506 (2.5359)	Prec@1 37.891 (38.779)	Prec@5 65.625 (68.330)
Epoch: [76][210/7045]	Time 0.546 (0.259)	Data 0.494 (0.191)	Loss 2.6407 (2.5383)	Prec@1 33.203 (38.659)	Prec@5 67.969 (68.304)
Epoch: [76][220/7045]	Time 0.101 (0.258)	Data 0.046 (0.189)	Loss 2.6920 (2.5388)	Prec@1 32.031 (38.677)	Prec@5 66.797 (68.310)
Epoch: [76][230/7045]	Time 0.447 (0.259)	Data 0.395 (0.190)	Loss 2.3416 (2.5368)	Prec@1 42.188 (38.718)	Prec@5 73.047 (68.326)
Epoch: [76][240/7045]	Time 0.335 (0.258)	Data 0.283 (0.189)	Loss 2.4326 (2.5379)	Prec@1 41.797 (38.738)	Prec@5 69.141 (68.324)
Epoch: [76][250/7045]	Time 0.110 (0.258)	Data 0.001 (0.189)	Loss 2.8878 (2.5408)	Prec@1 28.906 (38.641)	Prec@5 59.766 (68.260)
Epoch: [76][260/7045]	Time 0.109 (0.257)	Data 0.001 (0.189)	Loss 2.3688 (2.5414)	Prec@1 37.500 (38.637)	Prec@5 69.141 (68.195)
Epoch: [76][270/7045]	Time 0.290 (0.257)	Data 0.233 (0.189)	Loss 2.4951 (2.5417)	Prec@1 39.453 (38.630)	Prec@5 67.578 (68.168)
Epoch: [76][280/7045]	Time 0.101 (0.256)	Data 0.003 (0.188)	Loss 2.6694 (2.5403)	Prec@1 37.891 (38.669)	Prec@5 68.359 (68.238)
Epoch: [76][290/7045]	Time 0.469 (0.257)	Data 0.418 (0.189)	Loss 2.7389 (2.5437)	Prec@1 37.500 (38.650)	Prec@5 64.062 (68.190)
Epoch: [76][300/7045]	Time 0.542 (0.257)	Data 0.491 (0.189)	Loss 2.5505 (2.5415)	Prec@1 38.672 (38.689)	Prec@5 69.922 (68.254)
Epoch: [76][310/7045]	Time 0.110 (0.256)	Data 0.056 (0.188)	Loss 2.5798 (2.5426)	Prec@1 38.672 (38.679)	Prec@5 66.016 (68.201)
Epoch: [76][320/7045]	Time 0.109 (0.255)	Data 0.056 (0.188)	Loss 2.5493 (2.5429)	Prec@1 36.328 (38.660)	Prec@5 68.359 (68.202)
Epoch: [76][330/7045]	Time 0.553 (0.256)	Data 0.500 (0.189)	Loss 2.3414 (2.5417)	Prec@1 41.016 (38.671)	Prec@5 70.312 (68.222)
Epoch: [76][340/7045]	Time 0.326 (0.255)	Data 0.274 (0.188)	Loss 2.4530 (2.5408)	Prec@1 41.016 (38.658)	Prec@5 71.875 (68.221)
Epoch: [76][350/7045]	Time 0.276 (0.256)	Data 0.224 (0.188)	Loss 2.6787 (2.5398)	Prec@1 35.156 (38.654)	Prec@5 63.672 (68.225)
Epoch: [76][360/7045]	Time 0.635 (0.256)	Data 0.582 (0.189)	Loss 2.5621 (2.5406)	Prec@1 37.891 (38.624)	Prec@5 69.531 (68.218)
Epoch: [76][370/7045]	Time 0.102 (0.256)	Data 0.001 (0.188)	Loss 2.2928 (2.5394)	Prec@1 44.141 (38.635)	Prec@5 73.828 (68.281)
Epoch: [76][380/7045]	Time 0.248 (0.255)	Data 0.198 (0.187)	Loss 2.5640 (2.5398)	Prec@1 39.062 (38.611)	Prec@5 67.578 (68.290)
Epoch: [76][390/7045]	Time 0.102 (0.255)	Data 0.001 (0.187)	Loss 2.5830 (2.5397)	Prec@1 34.766 (38.615)	Prec@5 69.141 (68.307)
Epoch: [76][400/7045]	Time 0.296 (0.255)	Data 0.244 (0.187)	Loss 2.6785 (2.5413)	Prec@1 35.547 (38.584)	Prec@5 61.719 (68.280)
Epoch: [76][410/7045]	Time 0.102 (0.255)	Data 0.004 (0.187)	Loss 2.5427 (2.5424)	Prec@1 40.234 (38.584)	Prec@5 67.969 (68.248)
Epoch: [76][420/7045]	Time 0.304 (0.255)	Data 0.252 (0.187)	Loss 2.7001 (2.5430)	Prec@1 39.062 (38.598)	Prec@5 66.797 (68.229)
Epoch: [76][430/7045]	Time 0.180 (0.255)	Data 0.127 (0.187)	Loss 2.5959 (2.5440)	Prec@1 36.328 (38.553)	Prec@5 65.625 (68.200)
Epoch: [76][440/7045]	Time 0.534 (0.255)	Data 0.483 (0.187)	Loss 2.6396 (2.5419)	Prec@1 37.109 (38.556)	Prec@5 65.625 (68.236)
Epoch: [76][450/7045]	Time 0.166 (0.254)	Data 0.114 (0.187)	Loss 2.6354 (2.5425)	Prec@1 36.328 (38.516)	Prec@5 67.188 (68.238)
Epoch: [76][460/7045]	Time 0.178 (0.255)	Data 0.120 (0.187)	Loss 2.7602 (2.5436)	Prec@1 35.156 (38.499)	Prec@5 62.500 (68.209)
Epoch: [76][470/7045]	Time 0.102 (0.254)	Data 0.001 (0.186)	Loss 2.5531 (2.5436)	Prec@1 37.500 (38.489)	Prec@5 67.578 (68.216)
Epoch: [76][480/7045]	Time 0.108 (0.254)	Data 0.005 (0.186)	Loss 2.5774 (2.5438)	Prec@1 36.328 (38.502)	Prec@5 66.406 (68.203)
Epoch: [76][490/7045]	Time 0.827 (0.255)	Data 0.773 (0.187)	Loss 2.5093 (2.5428)	Prec@1 36.719 (38.517)	Prec@5 69.531 (68.229)
Epoch: [76][500/7045]	Time 0.102 (0.254)	Data 0.001 (0.185)	Loss 2.7489 (2.5437)	Prec@1 35.938 (38.513)	Prec@5 63.281 (68.215)
Epoch: [76][510/7045]	Time 0.109 (0.254)	Data 0.004 (0.186)	Loss 2.6219 (2.5441)	Prec@1 38.281 (38.480)	Prec@5 62.500 (68.197)
Epoch: [76][520/7045]	Time 0.240 (0.254)	Data 0.188 (0.185)	Loss 2.3747 (2.5436)	Prec@1 39.062 (38.487)	Prec@5 73.438 (68.204)
Epoch: [76][530/7045]	Time 0.102 (0.253)	Data 0.001 (0.185)	Loss 2.6264 (2.5447)	Prec@1 40.625 (38.477)	Prec@5 65.234 (68.189)
Epoch: [76][540/7045]	Time 0.467 (0.254)	Data 0.414 (0.185)	Loss 2.6088 (2.5442)	Prec@1 38.281 (38.502)	Prec@5 66.016 (68.184)
Epoch: [76][550/7045]	Time 0.103 (0.253)	Data 0.001 (0.184)	Loss 2.6537 (2.5458)	Prec@1 40.625 (38.488)	Prec@5 64.844 (68.140)
Epoch: [76][560/7045]	Time 0.102 (0.253)	Data 0.001 (0.184)	Loss 2.6597 (2.5453)	Prec@1 34.375 (38.498)	Prec@5 64.062 (68.156)
Epoch: [76][570/7045]	Time 0.366 (0.253)	Data 0.314 (0.183)	Loss 2.5491 (2.5448)	Prec@1 37.500 (38.514)	Prec@5 65.625 (68.169)
Epoch: [76][580/7045]	Time 0.102 (0.253)	Data 0.001 (0.183)	Loss 2.6484 (2.5445)	Prec@1 36.719 (38.506)	Prec@5 66.016 (68.156)
Epoch: [76][590/7045]	Time 0.225 (0.253)	Data 0.167 (0.183)	Loss 2.8142 (2.5453)	Prec@1 35.156 (38.487)	Prec@5 62.891 (68.149)
Epoch: [76][600/7045]	Time 0.102 (0.253)	Data 0.001 (0.183)	Loss 2.5054 (2.5451)	Prec@1 34.766 (38.482)	Prec@5 66.016 (68.151)
Epoch: [76][610/7045]	Time 0.134 (0.253)	Data 0.083 (0.183)	Loss 2.7031 (2.5460)	Prec@1 35.547 (38.446)	Prec@5 61.328 (68.125)
Epoch: [76][620/7045]	Time 0.940 (0.253)	Data 0.888 (0.183)	Loss 2.5191 (2.5474)	Prec@1 38.672 (38.422)	Prec@5 69.531 (68.097)
Epoch: [76][630/7045]	Time 0.102 (0.252)	Data 0.044 (0.182)	Loss 2.6723 (2.5468)	Prec@1 37.500 (38.442)	Prec@5 63.281 (68.103)
Epoch: [76][640/7045]	Time 0.109 (0.252)	Data 0.001 (0.183)	Loss 2.5134 (2.5463)	Prec@1 39.062 (38.458)	Prec@5 67.969 (68.110)
Epoch: [76][650/7045]	Time 0.103 (0.252)	Data 0.001 (0.182)	Loss 2.4209 (2.5465)	Prec@1 40.625 (38.477)	Prec@5 70.703 (68.101)
Epoch: [76][660/7045]	Time 0.236 (0.252)	Data 0.178 (0.182)	Loss 2.5326 (2.5465)	Prec@1 37.891 (38.450)	Prec@5 69.922 (68.100)
Epoch: [76][670/7045]	Time 0.431 (0.252)	Data 0.379 (0.182)	Loss 2.2772 (2.5459)	Prec@1 41.016 (38.444)	Prec@5 70.312 (68.101)
Epoch: [76][680/7045]	Time 0.112 (0.252)	Data 0.053 (0.182)	Loss 2.6296 (2.5455)	Prec@1 36.719 (38.465)	Prec@5 67.578 (68.109)
Epoch: [76][690/7045]	Time 0.335 (0.252)	Data 0.283 (0.182)	Loss 2.5151 (2.5454)	Prec@1 41.797 (38.458)	Prec@5 69.922 (68.108)
Epoch: [76][700/7045]	Time 0.202 (0.251)	Data 0.149 (0.182)	Loss 2.6185 (2.5449)	Prec@1 37.891 (38.462)	Prec@5 67.969 (68.121)
Epoch: [76][710/7045]	Time 0.299 (0.252)	Data 0.247 (0.182)	Loss 2.4765 (2.5449)	Prec@1 38.281 (38.463)	Prec@5 70.312 (68.125)
Epoch: [76][720/7045]	Time 0.132 (0.251)	Data 0.080 (0.182)	Loss 2.7153 (2.5446)	Prec@1 33.594 (38.476)	Prec@5 67.188 (68.133)
Epoch: [76][730/7045]	Time 0.110 (0.251)	Data 0.057 (0.182)	Loss 2.5566 (2.5450)	Prec@1 37.891 (38.473)	Prec@5 66.016 (68.131)
Epoch: [76][740/7045]	Time 0.248 (0.251)	Data 0.194 (0.182)	Loss 2.6979 (2.5455)	Prec@1 37.500 (38.481)	Prec@5 62.891 (68.126)
Epoch: [76][750/7045]	Time 0.110 (0.251)	Data 0.001 (0.182)	Loss 2.4807 (2.5457)	Prec@1 39.453 (38.480)	Prec@5 67.578 (68.116)
Epoch: [76][760/7045]	Time 0.102 (0.251)	Data 0.001 (0.182)	Loss 2.6189 (2.5469)	Prec@1 37.891 (38.453)	Prec@5 65.234 (68.082)
Epoch: [76][770/7045]	Time 0.121 (0.251)	Data 0.070 (0.182)	Loss 2.6443 (2.5471)	Prec@1 37.891 (38.454)	Prec@5 65.234 (68.072)
Epoch: [76][780/7045]	Time 0.465 (0.251)	Data 0.414 (0.183)	Loss 2.3606 (2.5462)	Prec@1 43.750 (38.477)	Prec@5 72.266 (68.086)
Epoch: [76][790/7045]	Time 0.102 (0.250)	Data 0.051 (0.182)	Loss 2.8741 (2.5459)	Prec@1 32.422 (38.476)	Prec@5 60.156 (68.089)
Epoch: [76][800/7045]	Time 0.464 (0.251)	Data 0.413 (0.182)	Loss 2.7426 (2.5460)	Prec@1 34.766 (38.471)	Prec@5 65.625 (68.095)
Epoch: [76][810/7045]	Time 0.102 (0.250)	Data 0.005 (0.182)	Loss 2.6367 (2.5460)	Prec@1 39.062 (38.481)	Prec@5 68.359 (68.114)
Epoch: [76][820/7045]	Time 0.139 (0.250)	Data 0.088 (0.182)	Loss 2.4639 (2.5455)	Prec@1 39.062 (38.485)	Prec@5 68.750 (68.115)
Epoch: [76][830/7045]	Time 0.666 (0.251)	Data 0.615 (0.182)	Loss 2.5445 (2.5457)	Prec@1 36.719 (38.471)	Prec@5 67.578 (68.114)
Epoch: [76][840/7045]	Time 0.103 (0.250)	Data 0.001 (0.182)	Loss 2.4436 (2.5454)	Prec@1 44.531 (38.486)	Prec@5 68.750 (68.116)
Epoch: [76][850/7045]	Time 0.187 (0.250)	Data 0.128 (0.182)	Loss 2.5981 (2.5450)	Prec@1 35.938 (38.482)	Prec@5 64.062 (68.118)
Epoch: [76][860/7045]	Time 0.102 (0.250)	Data 0.001 (0.182)	Loss 2.7187 (2.5450)	Prec@1 36.328 (38.494)	Prec@5 62.891 (68.118)
Epoch: [76][870/7045]	Time 0.108 (0.250)	Data 0.007 (0.182)	Loss 2.3885 (2.5454)	Prec@1 44.141 (38.489)	Prec@5 68.359 (68.106)
Epoch: [76][880/7045]	Time 0.780 (0.251)	Data 0.728 (0.182)	Loss 2.6125 (2.5452)	Prec@1 35.938 (38.492)	Prec@5 67.969 (68.124)
Epoch: [76][890/7045]	Time 0.163 (0.250)	Data 0.111 (0.181)	Loss 2.6577 (2.5457)	Prec@1 38.281 (38.486)	Prec@5 65.234 (68.109)
Epoch: [76][900/7045]	Time 0.559 (0.250)	Data 0.508 (0.181)	Loss 2.4950 (2.5451)	Prec@1 41.797 (38.505)	Prec@5 67.969 (68.117)
Epoch: [76][910/7045]	Time 0.109 (0.250)	Data 0.058 (0.181)	Loss 2.4887 (2.5446)	Prec@1 41.797 (38.514)	Prec@5 68.359 (68.132)
Epoch: [76][920/7045]	Time 0.179 (0.250)	Data 0.126 (0.181)	Loss 2.4158 (2.5448)	Prec@1 39.062 (38.509)	Prec@5 69.141 (68.126)
Epoch: [76][930/7045]	Time 0.594 (0.250)	Data 0.543 (0.182)	Loss 2.5059 (2.5445)	Prec@1 38.672 (38.514)	Prec@5 67.578 (68.129)
Epoch: [76][940/7045]	Time 0.101 (0.250)	Data 0.001 (0.181)	Loss 2.5549 (2.5447)	Prec@1 39.062 (38.504)	Prec@5 68.359 (68.125)
Epoch: [76][950/7045]	Time 0.408 (0.250)	Data 0.356 (0.181)	Loss 2.7257 (2.5448)	Prec@1 35.938 (38.504)	Prec@5 67.188 (68.127)
Epoch: [76][960/7045]	Time 0.102 (0.250)	Data 0.004 (0.181)	Loss 2.4645 (2.5443)	Prec@1 41.016 (38.516)	Prec@5 68.750 (68.135)
Epoch: [76][970/7045]	Time 0.125 (0.250)	Data 0.072 (0.181)	Loss 2.6768 (2.5447)	Prec@1 34.375 (38.502)	Prec@5 64.844 (68.130)
Epoch: [76][980/7045]	Time 0.103 (0.250)	Data 0.001 (0.181)	Loss 2.7087 (2.5450)	Prec@1 35.547 (38.490)	Prec@5 64.453 (68.116)
Epoch: [76][990/7045]	Time 0.252 (0.250)	Data 0.200 (0.181)	Loss 2.7066 (2.5450)	Prec@1 31.641 (38.477)	Prec@5 63.672 (68.112)
Epoch: [76][1000/7045]	Time 0.371 (0.250)	Data 0.320 (0.181)	Loss 2.4304 (2.5454)	Prec@1 42.578 (38.473)	Prec@5 72.266 (68.105)
Epoch: [76][1010/7045]	Time 0.103 (0.249)	Data 0.004 (0.181)	Loss 2.4202 (2.5445)	Prec@1 37.500 (38.485)	Prec@5 68.750 (68.127)
Epoch: [76][1020/7045]	Time 0.104 (0.249)	Data 0.002 (0.181)	Loss 2.4194 (2.5440)	Prec@1 38.672 (38.502)	Prec@5 69.141 (68.135)
Epoch: [76][1030/7045]	Time 0.101 (0.249)	Data 0.048 (0.181)	Loss 2.3820 (2.5438)	Prec@1 41.406 (38.504)	Prec@5 72.656 (68.138)
Epoch: [76][1040/7045]	Time 0.388 (0.249)	Data 0.330 (0.181)	Loss 2.4957 (2.5438)	Prec@1 35.938 (38.495)	Prec@5 69.922 (68.143)
Epoch: [76][1050/7045]	Time 0.559 (0.249)	Data 0.507 (0.181)	Loss 2.5357 (2.5439)	Prec@1 43.359 (38.495)	Prec@5 67.188 (68.145)
Epoch: [76][1060/7045]	Time 0.103 (0.249)	Data 0.002 (0.181)	Loss 2.6163 (2.5443)	Prec@1 36.328 (38.475)	Prec@5 66.016 (68.130)
Epoch: [76][1070/7045]	Time 0.178 (0.249)	Data 0.127 (0.181)	Loss 2.7250 (2.5447)	Prec@1 33.594 (38.471)	Prec@5 64.062 (68.116)
Epoch: [76][1080/7045]	Time 0.102 (0.249)	Data 0.006 (0.181)	Loss 2.5152 (2.5449)	Prec@1 37.109 (38.471)	Prec@5 68.750 (68.112)
Epoch: [76][1090/7045]	Time 0.503 (0.249)	Data 0.451 (0.181)	Loss 2.6763 (2.5454)	Prec@1 39.453 (38.454)	Prec@5 65.625 (68.109)
Epoch: [76][1100/7045]	Time 0.480 (0.249)	Data 0.429 (0.181)	Loss 2.5721 (2.5451)	Prec@1 37.500 (38.457)	Prec@5 66.016 (68.110)
Epoch: [76][1110/7045]	Time 0.101 (0.249)	Data 0.001 (0.181)	Loss 2.5157 (2.5448)	Prec@1 41.016 (38.457)	Prec@5 63.672 (68.121)
Epoch: [76][1120/7045]	Time 0.102 (0.249)	Data 0.001 (0.181)	Loss 2.6362 (2.5462)	Prec@1 37.500 (38.436)	Prec@5 66.016 (68.103)
Epoch: [76][1130/7045]	Time 0.105 (0.249)	Data 0.053 (0.181)	Loss 2.4243 (2.5462)	Prec@1 36.719 (38.442)	Prec@5 73.828 (68.108)
Epoch: [76][1140/7045]	Time 0.368 (0.249)	Data 0.310 (0.181)	Loss 2.4488 (2.5459)	Prec@1 37.891 (38.441)	Prec@5 68.359 (68.113)
Epoch: [76][1150/7045]	Time 0.100 (0.249)	Data 0.046 (0.180)	Loss 2.5501 (2.5455)	Prec@1 41.406 (38.443)	Prec@5 68.359 (68.118)
Epoch: [76][1160/7045]	Time 0.146 (0.249)	Data 0.093 (0.181)	Loss 2.5070 (2.5456)	Prec@1 38.672 (38.438)	Prec@5 68.359 (68.111)
Epoch: [76][1170/7045]	Time 0.713 (0.249)	Data 0.663 (0.181)	Loss 2.4232 (2.5457)	Prec@1 42.578 (38.433)	Prec@5 67.578 (68.106)
Epoch: [76][1180/7045]	Time 0.458 (0.249)	Data 0.406 (0.181)	Loss 2.7293 (2.5463)	Prec@1 35.938 (38.424)	Prec@5 65.234 (68.101)
Epoch: [76][1190/7045]	Time 0.100 (0.249)	Data 0.047 (0.181)	Loss 2.7499 (2.5463)	Prec@1 34.766 (38.418)	Prec@5 64.062 (68.106)
Epoch: [76][1200/7045]	Time 0.101 (0.249)	Data 0.004 (0.181)	Loss 2.4125 (2.5460)	Prec@1 39.453 (38.424)	Prec@5 71.094 (68.114)
Epoch: [76][1210/7045]	Time 0.518 (0.249)	Data 0.466 (0.181)	Loss 2.7357 (2.5460)	Prec@1 33.984 (38.419)	Prec@5 62.500 (68.121)
Epoch: [76][1220/7045]	Time 0.395 (0.249)	Data 0.344 (0.181)	Loss 2.4783 (2.5462)	Prec@1 41.016 (38.419)	Prec@5 67.188 (68.121)
Epoch: [76][1230/7045]	Time 0.102 (0.249)	Data 0.001 (0.181)	Loss 2.2177 (2.5460)	Prec@1 42.578 (38.435)	Prec@5 73.828 (68.132)
Epoch: [76][1240/7045]	Time 0.102 (0.249)	Data 0.046 (0.180)	Loss 2.4831 (2.5461)	Prec@1 39.062 (38.436)	Prec@5 70.703 (68.131)
Epoch: [76][1250/7045]	Time 0.102 (0.249)	Data 0.001 (0.180)	Loss 2.4997 (2.5464)	Prec@1 38.281 (38.429)	Prec@5 70.312 (68.133)
Epoch: [76][1260/7045]	Time 0.307 (0.249)	Data 0.255 (0.180)	Loss 2.4640 (2.5460)	Prec@1 41.016 (38.431)	Prec@5 70.703 (68.145)
Epoch: [76][1270/7045]	Time 0.531 (0.249)	Data 0.479 (0.180)	Loss 2.4835 (2.5460)	Prec@1 40.234 (38.435)	Prec@5 67.969 (68.144)
Epoch: [76][1280/7045]	Time 0.108 (0.249)	Data 0.006 (0.180)	Loss 2.7123 (2.5458)	Prec@1 33.203 (38.439)	Prec@5 66.406 (68.152)
Epoch: [76][1290/7045]	Time 0.367 (0.249)	Data 0.315 (0.180)	Loss 2.5187 (2.5466)	Prec@1 44.922 (38.434)	Prec@5 68.359 (68.137)
Epoch: [76][1300/7045]	Time 0.119 (0.248)	Data 0.067 (0.180)	Loss 2.5023 (2.5462)	Prec@1 38.672 (38.446)	Prec@5 70.312 (68.146)
Epoch: [76][1310/7045]	Time 0.174 (0.249)	Data 0.122 (0.180)	Loss 2.6258 (2.5462)	Prec@1 38.281 (38.450)	Prec@5 64.453 (68.143)
Epoch: [76][1320/7045]	Time 0.189 (0.248)	Data 0.138 (0.180)	Loss 2.5389 (2.5465)	Prec@1 39.453 (38.456)	Prec@5 70.312 (68.144)
Epoch: [76][1330/7045]	Time 0.111 (0.248)	Data 0.059 (0.180)	Loss 2.6622 (2.5468)	Prec@1 33.594 (38.451)	Prec@5 67.578 (68.140)
Epoch: [76][1340/7045]	Time 0.423 (0.249)	Data 0.372 (0.180)	Loss 2.4421 (2.5470)	Prec@1 35.938 (38.440)	Prec@5 69.141 (68.138)
Epoch: [76][1350/7045]	Time 0.102 (0.248)	Data 0.044 (0.180)	Loss 2.6186 (2.5473)	Prec@1 39.062 (38.433)	Prec@5 63.281 (68.129)
Epoch: [76][1360/7045]	Time 0.100 (0.248)	Data 0.047 (0.180)	Loss 2.5126 (2.5472)	Prec@1 39.453 (38.426)	Prec@5 68.750 (68.133)
Epoch: [76][1370/7045]	Time 0.105 (0.248)	Data 0.054 (0.180)	Loss 2.7291 (2.5471)	Prec@1 33.984 (38.427)	Prec@5 62.891 (68.142)
Epoch: [76][1380/7045]	Time 0.235 (0.248)	Data 0.177 (0.180)	Loss 2.6462 (2.5471)	Prec@1 35.547 (38.416)	Prec@5 69.141 (68.147)
Epoch: [76][1390/7045]	Time 0.200 (0.248)	Data 0.149 (0.180)	Loss 2.5547 (2.5471)	Prec@1 39.844 (38.413)	Prec@5 66.797 (68.149)
Epoch: [76][1400/7045]	Time 0.329 (0.248)	Data 0.277 (0.180)	Loss 2.6147 (2.5469)	Prec@1 36.719 (38.416)	Prec@5 67.969 (68.161)
Epoch: [76][1410/7045]	Time 0.594 (0.248)	Data 0.542 (0.180)	Loss 2.4893 (2.5469)	Prec@1 37.500 (38.419)	Prec@5 68.359 (68.162)
Epoch: [76][1420/7045]	Time 0.102 (0.248)	Data 0.001 (0.180)	Loss 2.4329 (2.5468)	Prec@1 41.016 (38.421)	Prec@5 69.531 (68.165)
Epoch: [76][1430/7045]	Time 0.136 (0.248)	Data 0.084 (0.180)	Loss 2.4899 (2.5468)	Prec@1 39.062 (38.418)	Prec@5 70.703 (68.166)
Epoch: [76][1440/7045]	Time 0.101 (0.248)	Data 0.006 (0.180)	Loss 2.7079 (2.5465)	Prec@1 37.500 (38.424)	Prec@5 62.891 (68.167)
Epoch: [76][1450/7045]	Time 0.337 (0.248)	Data 0.286 (0.180)	Loss 2.5115 (2.5465)	Prec@1 39.062 (38.430)	Prec@5 73.047 (68.171)
Epoch: [76][1460/7045]	Time 0.132 (0.248)	Data 0.079 (0.180)	Loss 2.6302 (2.5465)	Prec@1 37.500 (38.426)	Prec@5 63.281 (68.175)
Epoch: [76][1470/7045]	Time 0.175 (0.248)	Data 0.117 (0.180)	Loss 2.4998 (2.5464)	Prec@1 36.328 (38.418)	Prec@5 71.875 (68.176)
Epoch: [76][1480/7045]	Time 0.561 (0.248)	Data 0.511 (0.180)	Loss 2.4301 (2.5464)	Prec@1 46.094 (38.423)	Prec@5 72.656 (68.177)
Epoch: [76][1490/7045]	Time 0.296 (0.248)	Data 0.243 (0.180)	Loss 2.5051 (2.5465)	Prec@1 42.188 (38.416)	Prec@5 70.703 (68.177)
Epoch: [76][1500/7045]	Time 0.147 (0.248)	Data 0.096 (0.180)	Loss 2.6213 (2.5460)	Prec@1 37.891 (38.429)	Prec@5 67.188 (68.188)
Epoch: [76][1510/7045]	Time 0.101 (0.248)	Data 0.001 (0.180)	Loss 2.7397 (2.5464)	Prec@1 39.844 (38.427)	Prec@5 67.188 (68.187)
Epoch: [76][1520/7045]	Time 0.115 (0.248)	Data 0.056 (0.180)	Loss 2.5452 (2.5464)	Prec@1 34.375 (38.415)	Prec@5 67.188 (68.182)
Epoch: [76][1530/7045]	Time 0.406 (0.248)	Data 0.354 (0.180)	Loss 2.3303 (2.5459)	Prec@1 40.234 (38.415)	Prec@5 73.828 (68.191)
Epoch: [76][1540/7045]	Time 0.102 (0.248)	Data 0.001 (0.180)	Loss 2.9027 (2.5462)	Prec@1 32.031 (38.412)	Prec@5 61.328 (68.186)
Epoch: [76][1550/7045]	Time 0.643 (0.248)	Data 0.582 (0.180)	Loss 2.6117 (2.5463)	Prec@1 37.891 (38.413)	Prec@5 67.969 (68.185)
Epoch: [76][1560/7045]	Time 0.103 (0.248)	Data 0.001 (0.180)	Loss 2.4424 (2.5466)	Prec@1 37.109 (38.402)	Prec@5 69.531 (68.180)
Epoch: [76][1570/7045]	Time 0.162 (0.248)	Data 0.110 (0.180)	Loss 2.3202 (2.5465)	Prec@1 44.141 (38.405)	Prec@5 72.656 (68.189)
Epoch: [76][1580/7045]	Time 0.363 (0.248)	Data 0.312 (0.180)	Loss 2.5639 (2.5465)	Prec@1 35.547 (38.402)	Prec@5 67.188 (68.185)
Epoch: [76][1590/7045]	Time 0.102 (0.248)	Data 0.005 (0.180)	Loss 2.5357 (2.5465)	Prec@1 40.625 (38.404)	Prec@5 66.797 (68.183)
Epoch: [76][1600/7045]	Time 0.421 (0.248)	Data 0.363 (0.180)	Loss 2.6046 (2.5466)	Prec@1 35.156 (38.399)	Prec@5 66.406 (68.185)
Epoch: [76][1610/7045]	Time 0.165 (0.248)	Data 0.113 (0.180)	Loss 2.7107 (2.5470)	Prec@1 38.281 (38.389)	Prec@5 67.969 (68.180)
Epoch: [76][1620/7045]	Time 0.101 (0.248)	Data 0.006 (0.180)	Loss 2.4699 (2.5474)	Prec@1 39.844 (38.381)	Prec@5 70.312 (68.167)
Epoch: [76][1630/7045]	Time 0.276 (0.248)	Data 0.224 (0.180)	Loss 2.6015 (2.5476)	Prec@1 37.891 (38.379)	Prec@5 66.406 (68.162)
Epoch: [76][1640/7045]	Time 0.250 (0.248)	Data 0.199 (0.180)	Loss 2.5563 (2.5472)	Prec@1 41.406 (38.389)	Prec@5 66.406 (68.172)
Epoch: [76][1650/7045]	Time 0.354 (0.248)	Data 0.302 (0.180)	Loss 2.5023 (2.5473)	Prec@1 35.938 (38.388)	Prec@5 68.750 (68.174)
Epoch: [76][1660/7045]	Time 0.388 (0.248)	Data 0.336 (0.180)	Loss 2.6496 (2.5475)	Prec@1 36.328 (38.385)	Prec@5 67.188 (68.175)
Epoch: [76][1670/7045]	Time 0.162 (0.248)	Data 0.110 (0.180)	Loss 2.5428 (2.5473)	Prec@1 39.062 (38.388)	Prec@5 65.625 (68.181)
Epoch: [76][1680/7045]	Time 0.210 (0.248)	Data 0.158 (0.180)	Loss 2.6093 (2.5475)	Prec@1 36.328 (38.386)	Prec@5 68.359 (68.181)
Epoch: [76][1690/7045]	Time 0.143 (0.248)	Data 0.091 (0.180)	Loss 2.4807 (2.5476)	Prec@1 35.547 (38.385)	Prec@5 73.047 (68.182)
Epoch: [76][1700/7045]	Time 0.270 (0.248)	Data 0.211 (0.180)	Loss 2.7058 (2.5475)	Prec@1 36.328 (38.387)	Prec@5 67.969 (68.183)
Epoch: [76][1710/7045]	Time 0.525 (0.248)	Data 0.473 (0.180)	Loss 2.7480 (2.5475)	Prec@1 32.812 (38.389)	Prec@5 64.062 (68.183)
Epoch: [76][1720/7045]	Time 0.165 (0.248)	Data 0.114 (0.180)	Loss 2.8223 (2.5475)	Prec@1 30.859 (38.393)	Prec@5 64.844 (68.188)
Epoch: [76][1730/7045]	Time 0.399 (0.248)	Data 0.348 (0.180)	Loss 2.6182 (2.5477)	Prec@1 34.766 (38.387)	Prec@5 66.406 (68.182)
Epoch: [76][1740/7045]	Time 0.515 (0.248)	Data 0.463 (0.180)	Loss 2.3835 (2.5478)	Prec@1 42.578 (38.393)	Prec@5 72.266 (68.175)
Epoch: [76][1750/7045]	Time 0.102 (0.248)	Data 0.005 (0.180)	Loss 2.7164 (2.5476)	Prec@1 38.281 (38.398)	Prec@5 63.672 (68.180)
Epoch: [76][1760/7045]	Time 0.258 (0.248)	Data 0.199 (0.180)	Loss 2.4444 (2.5477)	Prec@1 37.109 (38.397)	Prec@5 71.094 (68.175)
Epoch: [76][1770/7045]	Time 0.102 (0.248)	Data 0.001 (0.180)	Loss 2.7594 (2.5479)	Prec@1 37.500 (38.401)	Prec@5 60.547 (68.170)
Epoch: [76][1780/7045]	Time 0.356 (0.248)	Data 0.305 (0.180)	Loss 2.3677 (2.5477)	Prec@1 37.891 (38.394)	Prec@5 69.531 (68.174)
Epoch: [76][1790/7045]	Time 0.558 (0.248)	Data 0.507 (0.180)	Loss 2.7625 (2.5477)	Prec@1 32.031 (38.392)	Prec@5 63.281 (68.175)
Epoch: [76][1800/7045]	Time 0.173 (0.248)	Data 0.121 (0.180)	Loss 2.6250 (2.5470)	Prec@1 38.281 (38.406)	Prec@5 66.797 (68.188)
Epoch: [76][1810/7045]	Time 0.249 (0.248)	Data 0.197 (0.180)	Loss 2.5713 (2.5470)	Prec@1 40.625 (38.406)	Prec@5 66.016 (68.184)
Epoch: [76][1820/7045]	Time 0.102 (0.248)	Data 0.003 (0.180)	Loss 2.3861 (2.5473)	Prec@1 41.016 (38.398)	Prec@5 71.484 (68.177)
Epoch: [76][1830/7045]	Time 0.316 (0.248)	Data 0.264 (0.180)	Loss 2.3649 (2.5472)	Prec@1 41.406 (38.397)	Prec@5 72.656 (68.177)
Epoch: [76][1840/7045]	Time 0.102 (0.248)	Data 0.001 (0.180)	Loss 2.3059 (2.5469)	Prec@1 41.797 (38.400)	Prec@5 71.484 (68.184)
Epoch: [76][1850/7045]	Time 0.333 (0.248)	Data 0.283 (0.180)	Loss 2.5870 (2.5467)	Prec@1 39.062 (38.398)	Prec@5 67.578 (68.189)
Epoch: [76][1860/7045]	Time 0.535 (0.248)	Data 0.483 (0.180)	Loss 2.7136 (2.5467)	Prec@1 35.547 (38.399)	Prec@5 66.406 (68.193)
Epoch: [76][1870/7045]	Time 0.102 (0.248)	Data 0.001 (0.180)	Loss 2.4038 (2.5467)	Prec@1 44.531 (38.404)	Prec@5 68.750 (68.193)
Epoch: [76][1880/7045]	Time 0.102 (0.248)	Data 0.001 (0.180)	Loss 2.3618 (2.5467)	Prec@1 42.188 (38.400)	Prec@5 73.438 (68.196)
Epoch: [76][1890/7045]	Time 0.102 (0.248)	Data 0.001 (0.180)	Loss 2.5758 (2.5467)	Prec@1 35.156 (38.402)	Prec@5 69.531 (68.202)
Epoch: [76][1900/7045]	Time 0.309 (0.248)	Data 0.259 (0.180)	Loss 2.4931 (2.5468)	Prec@1 37.109 (38.402)	Prec@5 67.969 (68.201)
Epoch: [76][1910/7045]	Time 0.473 (0.248)	Data 0.420 (0.180)	Loss 2.4693 (2.5470)	Prec@1 39.844 (38.402)	Prec@5 72.266 (68.204)
Epoch: [76][1920/7045]	Time 0.101 (0.248)	Data 0.001 (0.180)	Loss 2.6968 (2.5470)	Prec@1 35.547 (38.397)	Prec@5 67.969 (68.202)
Epoch: [76][1930/7045]	Time 0.110 (0.248)	Data 0.001 (0.180)	Loss 2.4617 (2.5469)	Prec@1 40.625 (38.396)	Prec@5 67.578 (68.202)
Epoch: [76][1940/7045]	Time 0.102 (0.248)	Data 0.001 (0.179)	Loss 2.4766 (2.5468)	Prec@1 37.109 (38.399)	Prec@5 69.922 (68.202)
Epoch: [76][1950/7045]	Time 0.222 (0.248)	Data 0.165 (0.180)	Loss 2.7178 (2.5467)	Prec@1 35.938 (38.406)	Prec@5 63.281 (68.206)
Epoch: [76][1960/7045]	Time 0.570 (0.248)	Data 0.511 (0.180)	Loss 2.8268 (2.5472)	Prec@1 30.859 (38.393)	Prec@5 63.672 (68.196)
Epoch: [76][1970/7045]	Time 0.170 (0.248)	Data 0.119 (0.180)	Loss 2.4065 (2.5472)	Prec@1 42.969 (38.392)	Prec@5 73.047 (68.198)
Epoch: [76][1980/7045]	Time 0.260 (0.248)	Data 0.207 (0.179)	Loss 2.6592 (2.5467)	Prec@1 37.109 (38.397)	Prec@5 67.188 (68.207)
Epoch: [76][1990/7045]	Time 0.102 (0.248)	Data 0.002 (0.179)	Loss 2.7589 (2.5467)	Prec@1 38.672 (38.401)	Prec@5 64.453 (68.208)
Epoch: [76][2000/7045]	Time 0.367 (0.248)	Data 0.315 (0.180)	Loss 2.4669 (2.5468)	Prec@1 42.188 (38.401)	Prec@5 68.750 (68.206)
Epoch: [76][2010/7045]	Time 0.189 (0.248)	Data 0.137 (0.179)	Loss 2.5403 (2.5470)	Prec@1 38.672 (38.398)	Prec@5 66.016 (68.201)
Epoch: [76][2020/7045]	Time 0.271 (0.248)	Data 0.214 (0.179)	Loss 2.3772 (2.5472)	Prec@1 44.922 (38.393)	Prec@5 71.094 (68.197)
Epoch: [76][2030/7045]	Time 0.588 (0.248)	Data 0.536 (0.180)	Loss 2.4882 (2.5471)	Prec@1 35.547 (38.390)	Prec@5 70.703 (68.201)
Epoch: [76][2040/7045]	Time 0.121 (0.248)	Data 0.059 (0.179)	Loss 2.3816 (2.5471)	Prec@1 40.234 (38.384)	Prec@5 69.531 (68.199)
Epoch: [76][2050/7045]	Time 0.590 (0.248)	Data 0.532 (0.180)	Loss 2.5235 (2.5470)	Prec@1 38.672 (38.386)	Prec@5 70.312 (68.203)
Epoch: [76][2060/7045]	Time 0.101 (0.248)	Data 0.049 (0.179)	Loss 2.6945 (2.5469)	Prec@1 37.109 (38.385)	Prec@5 66.406 (68.209)
Epoch: [76][2070/7045]	Time 0.110 (0.248)	Data 0.001 (0.180)	Loss 2.5633 (2.5470)	Prec@1 37.109 (38.385)	Prec@5 67.188 (68.207)
Epoch: [76][2080/7045]	Time 0.103 (0.248)	Data 0.001 (0.179)	Loss 2.6416 (2.5471)	Prec@1 36.719 (38.384)	Prec@5 65.234 (68.199)
Epoch: [76][2090/7045]	Time 0.193 (0.248)	Data 0.141 (0.179)	Loss 2.4713 (2.5469)	Prec@1 39.453 (38.388)	Prec@5 68.359 (68.200)
Epoch: [76][2100/7045]	Time 0.222 (0.248)	Data 0.161 (0.180)	Loss 2.5004 (2.5470)	Prec@1 37.500 (38.387)	Prec@5 66.406 (68.199)
Epoch: [76][2110/7045]	Time 0.152 (0.248)	Data 0.100 (0.179)	Loss 2.4147 (2.5467)	Prec@1 42.188 (38.396)	Prec@5 70.312 (68.200)
Epoch: [76][2120/7045]	Time 0.106 (0.248)	Data 0.054 (0.180)	Loss 2.5934 (2.5467)	Prec@1 38.672 (38.397)	Prec@5 67.188 (68.201)
Epoch: [76][2130/7045]	Time 0.486 (0.248)	Data 0.434 (0.180)	Loss 2.8402 (2.5467)	Prec@1 31.250 (38.397)	Prec@5 64.453 (68.201)
Epoch: [76][2140/7045]	Time 0.102 (0.248)	Data 0.001 (0.180)	Loss 2.3520 (2.5468)	Prec@1 43.359 (38.397)	Prec@5 71.484 (68.202)
Epoch: [76][2150/7045]	Time 0.544 (0.248)	Data 0.492 (0.180)	Loss 2.5399 (2.5470)	Prec@1 42.188 (38.395)	Prec@5 66.797 (68.201)
Epoch: [76][2160/7045]	Time 0.102 (0.248)	Data 0.007 (0.180)	Loss 2.7610 (2.5467)	Prec@1 37.891 (38.399)	Prec@5 64.453 (68.210)
Epoch: [76][2170/7045]	Time 0.385 (0.247)	Data 0.334 (0.179)	Loss 2.3855 (2.5465)	Prec@1 42.578 (38.404)	Prec@5 71.875 (68.211)
Epoch: [76][2180/7045]	Time 0.259 (0.247)	Data 0.207 (0.180)	Loss 2.6610 (2.5467)	Prec@1 40.625 (38.406)	Prec@5 65.625 (68.209)
Epoch: [76][2190/7045]	Time 0.325 (0.248)	Data 0.272 (0.180)	Loss 2.5258 (2.5464)	Prec@1 34.375 (38.409)	Prec@5 69.922 (68.220)
Epoch: [76][2200/7045]	Time 0.214 (0.247)	Data 0.163 (0.180)	Loss 2.6714 (2.5466)	Prec@1 34.766 (38.402)	Prec@5 66.016 (68.215)
Epoch: [76][2210/7045]	Time 0.326 (0.247)	Data 0.274 (0.180)	Loss 2.6087 (2.5466)	Prec@1 35.156 (38.400)	Prec@5 68.750 (68.217)
Epoch: [76][2220/7045]	Time 0.187 (0.248)	Data 0.135 (0.180)	Loss 2.3993 (2.5466)	Prec@1 43.750 (38.399)	Prec@5 72.266 (68.217)
Epoch: [76][2230/7045]	Time 0.176 (0.247)	Data 0.124 (0.180)	Loss 2.5467 (2.5466)	Prec@1 35.547 (38.395)	Prec@5 68.359 (68.219)
Epoch: [76][2240/7045]	Time 0.568 (0.248)	Data 0.516 (0.180)	Loss 2.4587 (2.5464)	Prec@1 37.500 (38.395)	Prec@5 71.875 (68.219)
Epoch: [76][2250/7045]	Time 0.326 (0.247)	Data 0.275 (0.180)	Loss 2.5501 (2.5466)	Prec@1 43.359 (38.392)	Prec@5 68.750 (68.217)
Epoch: [76][2260/7045]	Time 0.271 (0.247)	Data 0.218 (0.180)	Loss 2.4546 (2.5465)	Prec@1 38.281 (38.389)	Prec@5 71.094 (68.222)
Epoch: [76][2270/7045]	Time 0.370 (0.247)	Data 0.319 (0.180)	Loss 2.4743 (2.5462)	Prec@1 38.281 (38.391)	Prec@5 68.359 (68.231)
Epoch: [76][2280/7045]	Time 0.111 (0.247)	Data 0.058 (0.180)	Loss 2.4185 (2.5461)	Prec@1 39.453 (38.392)	Prec@5 70.312 (68.231)
Epoch: [76][2290/7045]	Time 0.103 (0.247)	Data 0.001 (0.180)	Loss 2.4874 (2.5458)	Prec@1 38.672 (38.402)	Prec@5 67.578 (68.236)
Epoch: [76][2300/7045]	Time 0.149 (0.247)	Data 0.098 (0.180)	Loss 2.7248 (2.5459)	Prec@1 35.156 (38.400)	Prec@5 65.234 (68.237)
Epoch: [76][2310/7045]	Time 0.439 (0.247)	Data 0.387 (0.180)	Loss 2.6924 (2.5459)	Prec@1 37.500 (38.402)	Prec@5 63.281 (68.238)
Epoch: [76][2320/7045]	Time 0.102 (0.247)	Data 0.001 (0.180)	Loss 2.8164 (2.5460)	Prec@1 35.156 (38.402)	Prec@5 65.234 (68.240)
Epoch: [76][2330/7045]	Time 0.124 (0.247)	Data 0.072 (0.180)	Loss 2.5325 (2.5459)	Prec@1 38.672 (38.404)	Prec@5 70.703 (68.239)
Epoch: [76][2340/7045]	Time 0.511 (0.247)	Data 0.460 (0.180)	Loss 2.5699 (2.5458)	Prec@1 39.062 (38.409)	Prec@5 67.188 (68.242)
Epoch: [76][2350/7045]	Time 0.117 (0.247)	Data 0.064 (0.180)	Loss 2.2983 (2.5458)	Prec@1 41.797 (38.412)	Prec@5 71.094 (68.239)
Epoch: [76][2360/7045]	Time 0.499 (0.247)	Data 0.441 (0.180)	Loss 2.4063 (2.5457)	Prec@1 42.578 (38.417)	Prec@5 68.359 (68.243)
Epoch: [76][2370/7045]	Time 0.402 (0.247)	Data 0.350 (0.180)	Loss 2.5364 (2.5456)	Prec@1 41.797 (38.421)	Prec@5 68.750 (68.247)
Epoch: [76][2380/7045]	Time 0.142 (0.247)	Data 0.090 (0.180)	Loss 2.5380 (2.5455)	Prec@1 39.453 (38.429)	Prec@5 67.969 (68.245)
Epoch: [76][2390/7045]	Time 0.392 (0.247)	Data 0.340 (0.180)	Loss 2.4674 (2.5457)	Prec@1 36.328 (38.422)	Prec@5 68.750 (68.237)
Epoch: [76][2400/7045]	Time 0.254 (0.247)	Data 0.196 (0.180)	Loss 2.5365 (2.5456)	Prec@1 39.453 (38.423)	Prec@5 67.969 (68.238)
Epoch: [76][2410/7045]	Time 0.102 (0.247)	Data 0.010 (0.180)	Loss 2.2662 (2.5453)	Prec@1 42.188 (38.425)	Prec@5 71.094 (68.248)
Epoch: [76][2420/7045]	Time 0.181 (0.247)	Data 0.129 (0.180)	Loss 2.6263 (2.5453)	Prec@1 33.594 (38.423)	Prec@5 67.969 (68.249)
Epoch: [76][2430/7045]	Time 0.302 (0.247)	Data 0.251 (0.180)	Loss 2.8205 (2.5452)	Prec@1 36.328 (38.425)	Prec@5 60.938 (68.252)
Epoch: [76][2440/7045]	Time 0.103 (0.247)	Data 0.001 (0.180)	Loss 2.6015 (2.5453)	Prec@1 34.375 (38.417)	Prec@5 67.188 (68.252)
Epoch: [76][2450/7045]	Time 0.488 (0.247)	Data 0.435 (0.180)	Loss 2.4373 (2.5454)	Prec@1 40.234 (38.410)	Prec@5 69.531 (68.251)
Epoch: [76][2460/7045]	Time 0.328 (0.247)	Data 0.268 (0.180)	Loss 2.7479 (2.5458)	Prec@1 32.812 (38.403)	Prec@5 65.625 (68.244)
Epoch: [76][2470/7045]	Time 0.444 (0.247)	Data 0.393 (0.180)	Loss 2.3748 (2.5457)	Prec@1 39.062 (38.402)	Prec@5 71.094 (68.245)
Epoch: [76][2480/7045]	Time 0.261 (0.247)	Data 0.210 (0.180)	Loss 2.4282 (2.5457)	Prec@1 41.016 (38.401)	Prec@5 69.531 (68.246)
Epoch: [76][2490/7045]	Time 0.239 (0.247)	Data 0.187 (0.180)	Loss 2.4207 (2.5456)	Prec@1 41.016 (38.402)	Prec@5 71.875 (68.248)
Epoch: [76][2500/7045]	Time 0.111 (0.247)	Data 0.059 (0.180)	Loss 2.7918 (2.5456)	Prec@1 33.984 (38.405)	Prec@5 63.672 (68.252)
Epoch: [76][2510/7045]	Time 0.575 (0.247)	Data 0.522 (0.180)	Loss 2.4644 (2.5457)	Prec@1 34.766 (38.399)	Prec@5 67.969 (68.252)
Epoch: [76][2520/7045]	Time 0.164 (0.247)	Data 0.112 (0.180)	Loss 2.5208 (2.5459)	Prec@1 41.016 (38.401)	Prec@5 65.625 (68.246)
Epoch: [76][2530/7045]	Time 0.168 (0.247)	Data 0.116 (0.180)	Loss 2.6086 (2.5456)	Prec@1 35.547 (38.411)	Prec@5 65.625 (68.246)
Epoch: [76][2540/7045]	Time 0.377 (0.247)	Data 0.324 (0.180)	Loss 2.4653 (2.5456)	Prec@1 37.109 (38.409)	Prec@5 67.969 (68.243)
Epoch: [76][2550/7045]	Time 0.249 (0.247)	Data 0.197 (0.180)	Loss 2.7340 (2.5458)	Prec@1 37.109 (38.405)	Prec@5 64.844 (68.235)
Epoch: [76][2560/7045]	Time 0.398 (0.247)	Data 0.341 (0.180)	Loss 2.5230 (2.5459)	Prec@1 36.328 (38.402)	Prec@5 71.875 (68.237)
Epoch: [76][2570/7045]	Time 0.102 (0.247)	Data 0.001 (0.180)	Loss 2.4310 (2.5457)	Prec@1 41.797 (38.402)	Prec@5 70.312 (68.238)
Epoch: [76][2580/7045]	Time 0.102 (0.247)	Data 0.016 (0.180)	Loss 2.5033 (2.5459)	Prec@1 42.188 (38.399)	Prec@5 72.266 (68.236)
Epoch: [76][2590/7045]	Time 0.102 (0.247)	Data 0.001 (0.180)	Loss 2.6351 (2.5458)	Prec@1 38.672 (38.397)	Prec@5 65.625 (68.236)
Epoch: [76][2600/7045]	Time 0.191 (0.247)	Data 0.132 (0.180)	Loss 2.4279 (2.5460)	Prec@1 36.328 (38.390)	Prec@5 71.094 (68.231)
Epoch: [76][2610/7045]	Time 0.581 (0.247)	Data 0.529 (0.180)	Loss 2.5254 (2.5465)	Prec@1 39.062 (38.380)	Prec@5 69.141 (68.220)
Epoch: [76][2620/7045]	Time 0.110 (0.247)	Data 0.001 (0.180)	Loss 2.7406 (2.5465)	Prec@1 32.812 (38.378)	Prec@5 66.406 (68.218)
Epoch: [76][2630/7045]	Time 0.521 (0.247)	Data 0.464 (0.180)	Loss 2.4673 (2.5464)	Prec@1 43.359 (38.380)	Prec@5 66.797 (68.218)
Epoch: [76][2640/7045]	Time 0.414 (0.247)	Data 0.363 (0.180)	Loss 2.6024 (2.5464)	Prec@1 37.500 (38.373)	Prec@5 66.797 (68.218)
Epoch: [76][2650/7045]	Time 0.233 (0.247)	Data 0.182 (0.180)	Loss 2.4826 (2.5463)	Prec@1 39.844 (38.371)	Prec@5 73.047 (68.219)
Epoch: [76][2660/7045]	Time 0.296 (0.247)	Data 0.244 (0.180)	Loss 2.4057 (2.5463)	Prec@1 40.234 (38.372)	Prec@5 70.703 (68.219)
Epoch: [76][2670/7045]	Time 0.176 (0.247)	Data 0.123 (0.180)	Loss 2.7678 (2.5462)	Prec@1 34.375 (38.373)	Prec@5 63.672 (68.219)
Epoch: [76][2680/7045]	Time 0.164 (0.247)	Data 0.113 (0.180)	Loss 2.3519 (2.5460)	Prec@1 41.406 (38.379)	Prec@5 73.438 (68.223)
Epoch: [76][2690/7045]	Time 0.182 (0.247)	Data 0.131 (0.180)	Loss 2.5968 (2.5459)	Prec@1 38.281 (38.379)	Prec@5 67.969 (68.226)
Epoch: [76][2700/7045]	Time 0.664 (0.247)	Data 0.613 (0.180)	Loss 2.4919 (2.5459)	Prec@1 38.281 (38.376)	Prec@5 70.312 (68.226)
Epoch: [76][2710/7045]	Time 0.112 (0.247)	Data 0.060 (0.180)	Loss 2.5920 (2.5461)	Prec@1 37.500 (38.376)	Prec@5 66.406 (68.222)
Epoch: [76][2720/7045]	Time 0.323 (0.247)	Data 0.271 (0.180)	Loss 2.4441 (2.5461)	Prec@1 37.891 (38.378)	Prec@5 75.781 (68.228)
Epoch: [76][2730/7045]	Time 0.454 (0.247)	Data 0.401 (0.180)	Loss 2.4714 (2.5460)	Prec@1 37.500 (38.380)	Prec@5 75.000 (68.234)
Epoch: [76][2740/7045]	Time 0.156 (0.247)	Data 0.104 (0.180)	Loss 2.7097 (2.5459)	Prec@1 37.109 (38.379)	Prec@5 63.281 (68.233)
Epoch: [76][2750/7045]	Time 0.543 (0.247)	Data 0.492 (0.180)	Loss 2.7748 (2.5461)	Prec@1 33.594 (38.376)	Prec@5 65.625 (68.229)
Epoch: [76][2760/7045]	Time 0.139 (0.247)	Data 0.086 (0.180)	Loss 2.5654 (2.5462)	Prec@1 38.672 (38.375)	Prec@5 68.359 (68.224)
Epoch: [76][2770/7045]	Time 0.392 (0.247)	Data 0.341 (0.180)	Loss 2.5516 (2.5461)	Prec@1 39.453 (38.380)	Prec@5 66.406 (68.224)
Epoch: [76][2780/7045]	Time 0.171 (0.247)	Data 0.119 (0.180)	Loss 2.4186 (2.5462)	Prec@1 40.625 (38.379)	Prec@5 70.703 (68.221)
Epoch: [76][2790/7045]	Time 0.169 (0.247)	Data 0.117 (0.180)	Loss 2.6727 (2.5461)	Prec@1 35.938 (38.379)	Prec@5 63.672 (68.218)
Epoch: [76][2800/7045]	Time 0.268 (0.247)	Data 0.216 (0.180)	Loss 2.6874 (2.5464)	Prec@1 37.891 (38.372)	Prec@5 63.281 (68.209)
Epoch: [76][2810/7045]	Time 0.160 (0.247)	Data 0.109 (0.180)	Loss 2.3065 (2.5462)	Prec@1 43.359 (38.373)	Prec@5 69.531 (68.210)
Epoch: [76][2820/7045]	Time 0.612 (0.247)	Data 0.550 (0.180)	Loss 2.4703 (2.5461)	Prec@1 34.375 (38.374)	Prec@5 69.531 (68.212)
Epoch: [76][2830/7045]	Time 0.110 (0.247)	Data 0.007 (0.180)	Loss 2.4439 (2.5462)	Prec@1 43.750 (38.372)	Prec@5 69.141 (68.208)
Epoch: [76][2840/7045]	Time 0.592 (0.247)	Data 0.534 (0.180)	Loss 2.5569 (2.5462)	Prec@1 38.281 (38.371)	Prec@5 65.625 (68.208)
Epoch: [76][2850/7045]	Time 0.102 (0.247)	Data 0.001 (0.180)	Loss 2.5841 (2.5462)	Prec@1 36.719 (38.371)	Prec@5 67.578 (68.208)
Epoch: [76][2860/7045]	Time 0.108 (0.247)	Data 0.007 (0.180)	Loss 2.4918 (2.5462)	Prec@1 41.016 (38.371)	Prec@5 68.359 (68.205)
Epoch: [76][2870/7045]	Time 0.105 (0.247)	Data 0.053 (0.180)	Loss 2.3816 (2.5460)	Prec@1 43.359 (38.376)	Prec@5 74.609 (68.207)
Epoch: [76][2880/7045]	Time 0.102 (0.247)	Data 0.010 (0.180)	Loss 2.4723 (2.5460)	Prec@1 40.234 (38.374)	Prec@5 67.578 (68.207)
Epoch: [76][2890/7045]	Time 0.103 (0.247)	Data 0.051 (0.180)	Loss 2.5945 (2.5462)	Prec@1 40.234 (38.366)	Prec@5 67.969 (68.205)
Epoch: [76][2900/7045]	Time 0.102 (0.247)	Data 0.050 (0.180)	Loss 2.6816 (2.5462)	Prec@1 37.109 (38.368)	Prec@5 67.969 (68.203)
Epoch: [76][2910/7045]	Time 0.134 (0.247)	Data 0.083 (0.180)	Loss 2.4763 (2.5464)	Prec@1 39.844 (38.363)	Prec@5 67.578 (68.200)
Epoch: [76][2920/7045]	Time 0.110 (0.247)	Data 0.019 (0.180)	Loss 2.5719 (2.5462)	Prec@1 34.766 (38.364)	Prec@5 67.188 (68.201)
Epoch: [76][2930/7045]	Time 0.454 (0.247)	Data 0.403 (0.180)	Loss 2.4810 (2.5461)	Prec@1 41.016 (38.367)	Prec@5 71.094 (68.202)
Epoch: [76][2940/7045]	Time 0.100 (0.247)	Data 0.001 (0.180)	Loss 2.3836 (2.5458)	Prec@1 41.797 (38.372)	Prec@5 71.094 (68.209)
Epoch: [76][2950/7045]	Time 0.847 (0.247)	Data 0.794 (0.180)	Loss 2.6015 (2.5458)	Prec@1 36.719 (38.371)	Prec@5 68.750 (68.210)
Epoch: [76][2960/7045]	Time 0.115 (0.247)	Data 0.055 (0.180)	Loss 2.4004 (2.5459)	Prec@1 37.891 (38.368)	Prec@5 67.578 (68.204)
Epoch: [76][2970/7045]	Time 0.633 (0.247)	Data 0.573 (0.180)	Loss 2.5354 (2.5460)	Prec@1 39.844 (38.367)	Prec@5 67.969 (68.207)
Epoch: [76][2980/7045]	Time 0.158 (0.247)	Data 0.101 (0.180)	Loss 2.5529 (2.5460)	Prec@1 36.719 (38.369)	Prec@5 67.188 (68.207)
Epoch: [76][2990/7045]	Time 0.566 (0.247)	Data 0.509 (0.180)	Loss 2.5120 (2.5458)	Prec@1 38.672 (38.370)	Prec@5 71.094 (68.209)
Epoch: [76][3000/7045]	Time 0.140 (0.247)	Data 0.089 (0.180)	Loss 2.6303 (2.5459)	Prec@1 32.422 (38.368)	Prec@5 65.625 (68.210)
Epoch: [76][3010/7045]	Time 0.140 (0.247)	Data 0.082 (0.180)	Loss 2.4454 (2.5460)	Prec@1 39.844 (38.363)	Prec@5 66.797 (68.204)
Epoch: [76][3020/7045]	Time 0.101 (0.247)	Data 0.004 (0.180)	Loss 2.7258 (2.5460)	Prec@1 37.891 (38.364)	Prec@5 64.062 (68.205)
Epoch: [76][3030/7045]	Time 0.160 (0.247)	Data 0.108 (0.180)	Loss 2.4157 (2.5460)	Prec@1 39.453 (38.361)	Prec@5 69.141 (68.205)
Epoch: [76][3040/7045]	Time 0.506 (0.247)	Data 0.455 (0.180)	Loss 2.6510 (2.5460)	Prec@1 38.281 (38.361)	Prec@5 64.844 (68.207)
Epoch: [76][3050/7045]	Time 0.115 (0.247)	Data 0.063 (0.180)	Loss 2.6342 (2.5460)	Prec@1 37.109 (38.361)	Prec@5 68.359 (68.207)
Epoch: [76][3060/7045]	Time 0.109 (0.247)	Data 0.001 (0.180)	Loss 2.3530 (2.5462)	Prec@1 39.844 (38.358)	Prec@5 71.875 (68.204)
Epoch: [76][3070/7045]	Time 0.103 (0.247)	Data 0.001 (0.180)	Loss 2.8298 (2.5464)	Prec@1 36.719 (38.354)	Prec@5 62.891 (68.200)
Epoch: [76][3080/7045]	Time 0.238 (0.247)	Data 0.186 (0.180)	Loss 2.4643 (2.5466)	Prec@1 39.453 (38.354)	Prec@5 69.922 (68.200)
Epoch: [76][3090/7045]	Time 0.220 (0.247)	Data 0.169 (0.180)	Loss 2.4432 (2.5466)	Prec@1 39.062 (38.355)	Prec@5 66.406 (68.196)
Epoch: [76][3100/7045]	Time 0.234 (0.247)	Data 0.183 (0.180)	Loss 2.5755 (2.5466)	Prec@1 39.844 (38.357)	Prec@5 66.797 (68.193)
Epoch: [76][3110/7045]	Time 0.534 (0.247)	Data 0.482 (0.180)	Loss 2.5551 (2.5466)	Prec@1 36.719 (38.356)	Prec@5 68.750 (68.193)
Epoch: [76][3120/7045]	Time 0.102 (0.246)	Data 0.006 (0.180)	Loss 2.7368 (2.5464)	Prec@1 39.453 (38.361)	Prec@5 62.109 (68.197)
Epoch: [76][3130/7045]	Time 0.519 (0.247)	Data 0.469 (0.180)	Loss 2.4628 (2.5464)	Prec@1 42.188 (38.361)	Prec@5 66.406 (68.195)
Epoch: [76][3140/7045]	Time 0.109 (0.246)	Data 0.001 (0.180)	Loss 2.5830 (2.5465)	Prec@1 40.625 (38.359)	Prec@5 67.578 (68.193)
Epoch: [76][3150/7045]	Time 0.303 (0.247)	Data 0.252 (0.180)	Loss 2.6608 (2.5464)	Prec@1 36.719 (38.360)	Prec@5 68.359 (68.198)
Epoch: [76][3160/7045]	Time 0.102 (0.246)	Data 0.001 (0.180)	Loss 2.5687 (2.5464)	Prec@1 34.766 (38.356)	Prec@5 70.703 (68.200)
Epoch: [76][3170/7045]	Time 0.101 (0.246)	Data 0.010 (0.180)	Loss 2.6461 (2.5466)	Prec@1 37.891 (38.355)	Prec@5 66.797 (68.198)
Epoch: [76][3180/7045]	Time 0.324 (0.246)	Data 0.273 (0.180)	Loss 2.5911 (2.5465)	Prec@1 38.281 (38.361)	Prec@5 66.406 (68.202)
Epoch: [76][3190/7045]	Time 0.108 (0.246)	Data 0.007 (0.180)	Loss 2.8368 (2.5466)	Prec@1 32.422 (38.356)	Prec@5 59.375 (68.200)
Epoch: [76][3200/7045]	Time 0.591 (0.247)	Data 0.534 (0.180)	Loss 2.6491 (2.5468)	Prec@1 37.891 (38.351)	Prec@5 66.406 (68.197)
Epoch: [76][3210/7045]	Time 0.101 (0.246)	Data 0.006 (0.179)	Loss 2.6107 (2.5467)	Prec@1 32.812 (38.354)	Prec@5 66.016 (68.198)
Epoch: [76][3220/7045]	Time 0.507 (0.246)	Data 0.457 (0.180)	Loss 2.4828 (2.5466)	Prec@1 39.062 (38.356)	Prec@5 70.312 (68.199)
Epoch: [76][3230/7045]	Time 0.102 (0.246)	Data 0.002 (0.179)	Loss 2.6102 (2.5465)	Prec@1 34.766 (38.357)	Prec@5 65.625 (68.198)
Epoch: [76][3240/7045]	Time 0.615 (0.246)	Data 0.557 (0.180)	Loss 2.6107 (2.5467)	Prec@1 37.109 (38.352)	Prec@5 67.578 (68.195)
Epoch: [76][3250/7045]	Time 0.103 (0.246)	Data 0.001 (0.179)	Loss 2.7792 (2.5469)	Prec@1 35.547 (38.349)	Prec@5 62.109 (68.191)
Epoch: [76][3260/7045]	Time 0.188 (0.246)	Data 0.136 (0.179)	Loss 2.5186 (2.5468)	Prec@1 40.625 (38.351)	Prec@5 70.703 (68.191)
Epoch: [76][3270/7045]	Time 0.102 (0.246)	Data 0.049 (0.179)	Loss 2.5512 (2.5469)	Prec@1 34.766 (38.348)	Prec@5 68.359 (68.190)
Epoch: [76][3280/7045]	Time 0.102 (0.246)	Data 0.006 (0.179)	Loss 2.7325 (2.5468)	Prec@1 36.328 (38.353)	Prec@5 63.672 (68.187)
Epoch: [76][3290/7045]	Time 0.220 (0.246)	Data 0.167 (0.179)	Loss 2.4565 (2.5469)	Prec@1 45.312 (38.357)	Prec@5 69.531 (68.186)
Epoch: [76][3300/7045]	Time 0.102 (0.246)	Data 0.001 (0.179)	Loss 2.7414 (2.5469)	Prec@1 36.328 (38.357)	Prec@5 66.797 (68.185)
Epoch: [76][3310/7045]	Time 0.419 (0.246)	Data 0.367 (0.179)	Loss 2.4395 (2.5468)	Prec@1 42.188 (38.358)	Prec@5 68.750 (68.186)
Epoch: [76][3320/7045]	Time 0.435 (0.246)	Data 0.383 (0.179)	Loss 2.7508 (2.5470)	Prec@1 32.812 (38.358)	Prec@5 61.719 (68.180)
Epoch: [76][3330/7045]	Time 0.102 (0.246)	Data 0.001 (0.179)	Loss 2.5479 (2.5469)	Prec@1 35.938 (38.360)	Prec@5 64.062 (68.181)
Epoch: [76][3340/7045]	Time 0.447 (0.246)	Data 0.395 (0.179)	Loss 2.5155 (2.5469)	Prec@1 34.766 (38.360)	Prec@5 67.188 (68.182)
Epoch: [76][3350/7045]	Time 0.103 (0.246)	Data 0.001 (0.179)	Loss 2.6643 (2.5469)	Prec@1 32.812 (38.360)	Prec@5 66.797 (68.181)
Epoch: [76][3360/7045]	Time 0.111 (0.246)	Data 0.002 (0.179)	Loss 2.5594 (2.5469)	Prec@1 39.844 (38.362)	Prec@5 69.531 (68.183)
Epoch: [76][3370/7045]	Time 0.103 (0.246)	Data 0.001 (0.179)	Loss 2.4539 (2.5467)	Prec@1 42.188 (38.366)	Prec@5 72.656 (68.187)
Epoch: [76][3380/7045]	Time 0.124 (0.246)	Data 0.065 (0.179)	Loss 2.5774 (2.5468)	Prec@1 39.062 (38.366)	Prec@5 69.922 (68.189)
Epoch: [76][3390/7045]	Time 0.102 (0.246)	Data 0.010 (0.179)	Loss 2.4974 (2.5467)	Prec@1 40.625 (38.367)	Prec@5 70.703 (68.192)
Epoch: [76][3400/7045]	Time 0.101 (0.246)	Data 0.005 (0.179)	Loss 2.4108 (2.5466)	Prec@1 39.062 (38.369)	Prec@5 72.656 (68.193)
Epoch: [76][3410/7045]	Time 0.528 (0.246)	Data 0.476 (0.179)	Loss 2.6674 (2.5466)	Prec@1 35.938 (38.370)	Prec@5 65.625 (68.191)
Epoch: [76][3420/7045]	Time 0.109 (0.246)	Data 0.001 (0.179)	Loss 2.5703 (2.5466)	Prec@1 41.016 (38.373)	Prec@5 69.141 (68.193)
Epoch: [76][3430/7045]	Time 0.580 (0.246)	Data 0.530 (0.179)	Loss 2.5382 (2.5468)	Prec@1 37.500 (38.372)	Prec@5 68.359 (68.192)
Epoch: [76][3440/7045]	Time 0.102 (0.246)	Data 0.001 (0.179)	Loss 2.6149 (2.5468)	Prec@1 38.672 (38.372)	Prec@5 66.406 (68.190)
Epoch: [76][3450/7045]	Time 0.102 (0.246)	Data 0.001 (0.179)	Loss 2.4448 (2.5467)	Prec@1 37.891 (38.375)	Prec@5 71.875 (68.194)
Epoch: [76][3460/7045]	Time 0.103 (0.246)	Data 0.001 (0.179)	Loss 2.7469 (2.5469)	Prec@1 33.203 (38.372)	Prec@5 64.844 (68.191)
Epoch: [76][3470/7045]	Time 0.101 (0.246)	Data 0.001 (0.179)	Loss 2.6938 (2.5468)	Prec@1 33.203 (38.375)	Prec@5 67.188 (68.192)
Epoch: [76][3480/7045]	Time 0.411 (0.246)	Data 0.358 (0.179)	Loss 2.6334 (2.5467)	Prec@1 33.984 (38.375)	Prec@5 66.797 (68.190)
Epoch: [76][3490/7045]	Time 0.110 (0.246)	Data 0.001 (0.179)	Loss 2.4986 (2.5465)	Prec@1 42.188 (38.379)	Prec@5 69.922 (68.194)
Epoch: [76][3500/7045]	Time 0.420 (0.246)	Data 0.369 (0.179)	Loss 2.6817 (2.5464)	Prec@1 37.891 (38.378)	Prec@5 66.406 (68.195)
Epoch: [76][3510/7045]	Time 0.163 (0.246)	Data 0.111 (0.179)	Loss 2.3587 (2.5463)	Prec@1 41.016 (38.378)	Prec@5 73.828 (68.200)
Epoch: [76][3520/7045]	Time 0.110 (0.246)	Data 0.057 (0.179)	Loss 2.6980 (2.5465)	Prec@1 33.984 (38.379)	Prec@5 66.016 (68.197)
Epoch: [76][3530/7045]	Time 0.432 (0.246)	Data 0.380 (0.179)	Loss 2.6099 (2.5466)	Prec@1 37.891 (38.378)	Prec@5 67.969 (68.198)
Epoch: [76][3540/7045]	Time 0.110 (0.246)	Data 0.001 (0.179)	Loss 2.5677 (2.5466)	Prec@1 35.938 (38.376)	Prec@5 66.406 (68.197)
Epoch: [76][3550/7045]	Time 0.313 (0.246)	Data 0.262 (0.179)	Loss 2.5482 (2.5465)	Prec@1 33.984 (38.376)	Prec@5 67.578 (68.199)
Epoch: [76][3560/7045]	Time 0.222 (0.246)	Data 0.170 (0.179)	Loss 2.7026 (2.5465)	Prec@1 34.375 (38.377)	Prec@5 63.281 (68.197)
Epoch: [76][3570/7045]	Time 0.267 (0.246)	Data 0.216 (0.179)	Loss 2.3697 (2.5465)	Prec@1 42.578 (38.375)	Prec@5 70.703 (68.198)
Epoch: [76][3580/7045]	Time 0.467 (0.246)	Data 0.414 (0.179)	Loss 2.6171 (2.5466)	Prec@1 36.328 (38.373)	Prec@5 66.406 (68.193)
Epoch: [76][3590/7045]	Time 0.110 (0.246)	Data 0.001 (0.179)	Loss 2.6818 (2.5466)	Prec@1 33.984 (38.372)	Prec@5 63.672 (68.192)
Epoch: [76][3600/7045]	Time 0.270 (0.246)	Data 0.219 (0.179)	Loss 2.5676 (2.5467)	Prec@1 40.234 (38.371)	Prec@5 68.750 (68.191)
Epoch: [76][3610/7045]	Time 0.225 (0.246)	Data 0.164 (0.179)	Loss 2.6371 (2.5468)	Prec@1 37.891 (38.370)	Prec@5 67.578 (68.192)
Epoch: [76][3620/7045]	Time 0.102 (0.246)	Data 0.001 (0.179)	Loss 2.5389 (2.5468)	Prec@1 39.844 (38.370)	Prec@5 69.531 (68.195)
Epoch: [76][3630/7045]	Time 0.110 (0.246)	Data 0.001 (0.179)	Loss 2.7160 (2.5468)	Prec@1 36.328 (38.365)	Prec@5 63.672 (68.196)
Epoch: [76][3640/7045]	Time 0.508 (0.246)	Data 0.449 (0.179)	Loss 2.5417 (2.5468)	Prec@1 41.797 (38.365)	Prec@5 67.188 (68.198)
Epoch: [76][3650/7045]	Time 0.239 (0.246)	Data 0.187 (0.179)	Loss 2.5897 (2.5467)	Prec@1 38.281 (38.364)	Prec@5 68.359 (68.198)
Epoch: [76][3660/7045]	Time 0.101 (0.246)	Data 0.001 (0.179)	Loss 2.4986 (2.5468)	Prec@1 38.281 (38.361)	Prec@5 71.484 (68.199)
Epoch: [76][3670/7045]	Time 0.164 (0.246)	Data 0.111 (0.179)	Loss 2.5574 (2.5469)	Prec@1 40.625 (38.359)	Prec@5 69.531 (68.197)
Epoch: [76][3680/7045]	Time 0.108 (0.246)	Data 0.009 (0.179)	Loss 2.7479 (2.5470)	Prec@1 36.719 (38.359)	Prec@5 66.016 (68.197)
Epoch: [76][3690/7045]	Time 0.574 (0.246)	Data 0.522 (0.179)	Loss 2.5835 (2.5471)	Prec@1 39.453 (38.360)	Prec@5 66.797 (68.194)
Epoch: [76][3700/7045]	Time 0.109 (0.246)	Data 0.057 (0.179)	Loss 2.5187 (2.5472)	Prec@1 39.062 (38.359)	Prec@5 73.047 (68.197)
Epoch: [76][3710/7045]	Time 0.109 (0.246)	Data 0.010 (0.179)	Loss 2.5520 (2.5472)	Prec@1 39.062 (38.357)	Prec@5 69.922 (68.197)
Epoch: [76][3720/7045]	Time 0.309 (0.246)	Data 0.258 (0.179)	Loss 2.5188 (2.5471)	Prec@1 39.453 (38.362)	Prec@5 68.359 (68.200)
Epoch: [76][3730/7045]	Time 0.103 (0.246)	Data 0.001 (0.179)	Loss 2.6225 (2.5470)	Prec@1 38.281 (38.364)	Prec@5 66.016 (68.202)
Epoch: [76][3740/7045]	Time 0.760 (0.246)	Data 0.709 (0.179)	Loss 2.7792 (2.5471)	Prec@1 35.547 (38.363)	Prec@5 65.625 (68.202)
Epoch: [76][3750/7045]	Time 0.102 (0.246)	Data 0.001 (0.179)	Loss 2.2586 (2.5469)	Prec@1 46.094 (38.366)	Prec@5 72.266 (68.205)
Epoch: [76][3760/7045]	Time 0.389 (0.246)	Data 0.337 (0.179)	Loss 2.3436 (2.5466)	Prec@1 43.750 (38.369)	Prec@5 74.219 (68.211)
Epoch: [76][3770/7045]	Time 0.102 (0.246)	Data 0.001 (0.179)	Loss 2.4890 (2.5466)	Prec@1 40.625 (38.370)	Prec@5 69.141 (68.213)
Epoch: [76][3780/7045]	Time 0.101 (0.246)	Data 0.005 (0.179)	Loss 2.4541 (2.5468)	Prec@1 37.891 (38.368)	Prec@5 70.312 (68.209)
Epoch: [76][3790/7045]	Time 0.442 (0.246)	Data 0.390 (0.179)	Loss 2.4353 (2.5467)	Prec@1 38.281 (38.372)	Prec@5 73.438 (68.213)
Epoch: [76][3800/7045]	Time 0.100 (0.246)	Data 0.001 (0.179)	Loss 2.6606 (2.5468)	Prec@1 39.453 (38.367)	Prec@5 70.703 (68.211)
Epoch: [76][3810/7045]	Time 0.613 (0.246)	Data 0.555 (0.179)	Loss 2.5204 (2.5469)	Prec@1 39.844 (38.365)	Prec@5 69.141 (68.209)
Epoch: [76][3820/7045]	Time 0.102 (0.246)	Data 0.006 (0.178)	Loss 2.4718 (2.5471)	Prec@1 36.719 (38.359)	Prec@5 71.484 (68.203)
Epoch: [76][3830/7045]	Time 0.109 (0.246)	Data 0.001 (0.179)	Loss 2.6451 (2.5472)	Prec@1 32.422 (38.357)	Prec@5 64.844 (68.201)
Epoch: [76][3840/7045]	Time 0.166 (0.246)	Data 0.115 (0.178)	Loss 2.8068 (2.5473)	Prec@1 35.547 (38.356)	Prec@5 62.891 (68.201)
Epoch: [76][3850/7045]	Time 0.186 (0.246)	Data 0.135 (0.178)	Loss 2.6604 (2.5474)	Prec@1 37.109 (38.354)	Prec@5 66.016 (68.197)
Epoch: [76][3860/7045]	Time 0.529 (0.246)	Data 0.477 (0.178)	Loss 2.5218 (2.5473)	Prec@1 39.844 (38.356)	Prec@5 69.922 (68.200)
Epoch: [76][3870/7045]	Time 0.102 (0.246)	Data 0.004 (0.178)	Loss 2.6245 (2.5473)	Prec@1 41.406 (38.356)	Prec@5 66.406 (68.202)
Epoch: [76][3880/7045]	Time 0.102 (0.246)	Data 0.013 (0.178)	Loss 2.7582 (2.5472)	Prec@1 34.375 (38.355)	Prec@5 61.328 (68.201)
Epoch: [76][3890/7045]	Time 0.103 (0.246)	Data 0.001 (0.178)	Loss 2.5529 (2.5473)	Prec@1 37.500 (38.355)	Prec@5 67.578 (68.201)
Epoch: [76][3900/7045]	Time 0.292 (0.246)	Data 0.232 (0.178)	Loss 2.5822 (2.5473)	Prec@1 39.453 (38.354)	Prec@5 67.188 (68.202)
Epoch: [76][3910/7045]	Time 0.576 (0.246)	Data 0.525 (0.178)	Loss 2.5526 (2.5474)	Prec@1 40.234 (38.355)	Prec@5 69.141 (68.201)
Epoch: [76][3920/7045]	Time 0.213 (0.246)	Data 0.154 (0.178)	Loss 2.5852 (2.5474)	Prec@1 39.844 (38.358)	Prec@5 66.797 (68.203)
Epoch: [76][3930/7045]	Time 0.421 (0.246)	Data 0.370 (0.178)	Loss 2.4719 (2.5473)	Prec@1 40.625 (38.359)	Prec@5 73.828 (68.205)
Epoch: [76][3940/7045]	Time 0.108 (0.246)	Data 0.055 (0.178)	Loss 2.6698 (2.5474)	Prec@1 31.641 (38.359)	Prec@5 65.625 (68.203)
Epoch: [76][3950/7045]	Time 0.102 (0.246)	Data 0.001 (0.178)	Loss 2.6443 (2.5473)	Prec@1 33.594 (38.360)	Prec@5 64.062 (68.204)
Epoch: [76][3960/7045]	Time 0.110 (0.246)	Data 0.058 (0.178)	Loss 2.6424 (2.5471)	Prec@1 35.547 (38.362)	Prec@5 66.016 (68.207)
Epoch: [76][3970/7045]	Time 0.452 (0.246)	Data 0.391 (0.178)	Loss 2.6565 (2.5471)	Prec@1 39.062 (38.363)	Prec@5 66.016 (68.208)
Epoch: [76][3980/7045]	Time 0.310 (0.246)	Data 0.258 (0.178)	Loss 2.7417 (2.5473)	Prec@1 33.984 (38.356)	Prec@5 64.844 (68.205)
Epoch: [76][3990/7045]	Time 0.344 (0.246)	Data 0.287 (0.178)	Loss 2.8194 (2.5473)	Prec@1 37.109 (38.358)	Prec@5 61.719 (68.205)
Epoch: [76][4000/7045]	Time 0.177 (0.246)	Data 0.125 (0.178)	Loss 2.6991 (2.5473)	Prec@1 33.594 (38.354)	Prec@5 64.844 (68.205)
Epoch: [76][4010/7045]	Time 0.148 (0.246)	Data 0.095 (0.178)	Loss 2.6737 (2.5476)	Prec@1 32.812 (38.349)	Prec@5 64.844 (68.196)
Epoch: [76][4020/7045]	Time 0.101 (0.246)	Data 0.004 (0.178)	Loss 2.4838 (2.5476)	Prec@1 39.453 (38.350)	Prec@5 69.922 (68.198)
Epoch: [76][4030/7045]	Time 0.102 (0.246)	Data 0.005 (0.178)	Loss 2.5985 (2.5478)	Prec@1 37.109 (38.349)	Prec@5 64.844 (68.196)
Epoch: [76][4040/7045]	Time 0.573 (0.246)	Data 0.515 (0.179)	Loss 2.5739 (2.5477)	Prec@1 35.938 (38.348)	Prec@5 66.797 (68.196)
Epoch: [76][4050/7045]	Time 0.270 (0.246)	Data 0.218 (0.178)	Loss 2.6188 (2.5478)	Prec@1 37.500 (38.348)	Prec@5 62.891 (68.194)
Epoch: [76][4060/7045]	Time 0.373 (0.246)	Data 0.314 (0.178)	Loss 2.3353 (2.5479)	Prec@1 40.234 (38.350)	Prec@5 72.656 (68.192)
Epoch: [76][4070/7045]	Time 0.102 (0.246)	Data 0.049 (0.178)	Loss 2.6184 (2.5478)	Prec@1 39.062 (38.351)	Prec@5 67.188 (68.195)
Epoch: [76][4080/7045]	Time 0.109 (0.246)	Data 0.001 (0.178)	Loss 2.5512 (2.5477)	Prec@1 36.719 (38.353)	Prec@5 68.359 (68.197)
Epoch: [76][4090/7045]	Time 0.173 (0.246)	Data 0.122 (0.178)	Loss 2.3768 (2.5477)	Prec@1 37.891 (38.353)	Prec@5 71.484 (68.195)
Epoch: [76][4100/7045]	Time 0.102 (0.246)	Data 0.012 (0.178)	Loss 2.4791 (2.5478)	Prec@1 37.891 (38.353)	Prec@5 71.094 (68.193)
Epoch: [76][4110/7045]	Time 0.810 (0.246)	Data 0.759 (0.179)	Loss 2.6428 (2.5479)	Prec@1 33.203 (38.351)	Prec@5 66.016 (68.191)
Epoch: [76][4120/7045]	Time 0.108 (0.246)	Data 0.002 (0.178)	Loss 2.5235 (2.5477)	Prec@1 35.156 (38.353)	Prec@5 68.750 (68.193)
Epoch: [76][4130/7045]	Time 0.371 (0.246)	Data 0.320 (0.178)	Loss 2.3683 (2.5477)	Prec@1 40.625 (38.353)	Prec@5 71.094 (68.194)
Epoch: [76][4140/7045]	Time 0.103 (0.246)	Data 0.001 (0.178)	Loss 2.5563 (2.5476)	Prec@1 37.891 (38.354)	Prec@5 70.312 (68.198)
Epoch: [76][4150/7045]	Time 0.115 (0.246)	Data 0.063 (0.178)	Loss 2.5420 (2.5476)	Prec@1 38.672 (38.357)	Prec@5 67.969 (68.200)
Epoch: [76][4160/7045]	Time 0.102 (0.246)	Data 0.001 (0.178)	Loss 2.4907 (2.5476)	Prec@1 39.453 (38.359)	Prec@5 67.188 (68.199)
Epoch: [76][4170/7045]	Time 0.107 (0.246)	Data 0.049 (0.178)	Loss 2.6335 (2.5475)	Prec@1 39.062 (38.361)	Prec@5 69.141 (68.201)
Epoch: [76][4180/7045]	Time 0.422 (0.246)	Data 0.370 (0.178)	Loss 2.6421 (2.5475)	Prec@1 37.500 (38.360)	Prec@5 65.625 (68.200)
Epoch: [76][4190/7045]	Time 0.119 (0.246)	Data 0.067 (0.178)	Loss 2.5890 (2.5474)	Prec@1 34.375 (38.361)	Prec@5 69.922 (68.202)
Epoch: [76][4200/7045]	Time 0.570 (0.246)	Data 0.519 (0.178)	Loss 2.6109 (2.5474)	Prec@1 36.719 (38.362)	Prec@5 67.578 (68.202)
Epoch: [76][4210/7045]	Time 0.107 (0.246)	Data 0.002 (0.178)	Loss 2.3521 (2.5472)	Prec@1 40.625 (38.364)	Prec@5 73.438 (68.207)
Epoch: [76][4220/7045]	Time 0.354 (0.246)	Data 0.303 (0.178)	Loss 2.4428 (2.5472)	Prec@1 39.453 (38.364)	Prec@5 71.875 (68.210)
Epoch: [76][4230/7045]	Time 0.102 (0.246)	Data 0.001 (0.178)	Loss 2.7425 (2.5473)	Prec@1 36.719 (38.364)	Prec@5 62.500 (68.206)
Epoch: [76][4240/7045]	Time 0.147 (0.246)	Data 0.096 (0.178)	Loss 2.4498 (2.5472)	Prec@1 40.625 (38.365)	Prec@5 69.531 (68.207)
Epoch: [76][4250/7045]	Time 0.103 (0.246)	Data 0.001 (0.178)	Loss 2.5339 (2.5472)	Prec@1 37.891 (38.364)	Prec@5 71.094 (68.206)
Epoch: [76][4260/7045]	Time 0.102 (0.246)	Data 0.005 (0.178)	Loss 2.5210 (2.5472)	Prec@1 36.719 (38.361)	Prec@5 67.578 (68.206)
Epoch: [76][4270/7045]	Time 0.637 (0.246)	Data 0.578 (0.178)	Loss 2.5890 (2.5472)	Prec@1 37.109 (38.362)	Prec@5 68.359 (68.206)
Epoch: [76][4280/7045]	Time 0.102 (0.246)	Data 0.001 (0.178)	Loss 2.7339 (2.5472)	Prec@1 32.422 (38.362)	Prec@5 61.328 (68.206)
Epoch: [76][4290/7045]	Time 0.647 (0.246)	Data 0.597 (0.178)	Loss 2.5794 (2.5471)	Prec@1 38.281 (38.365)	Prec@5 68.750 (68.207)
Epoch: [76][4300/7045]	Time 0.394 (0.246)	Data 0.342 (0.178)	Loss 2.4867 (2.5472)	Prec@1 36.719 (38.367)	Prec@5 67.969 (68.207)
Epoch: [76][4310/7045]	Time 0.235 (0.246)	Data 0.177 (0.178)	Loss 2.5260 (2.5473)	Prec@1 38.672 (38.365)	Prec@5 70.703 (68.204)
Epoch: [76][4320/7045]	Time 0.210 (0.246)	Data 0.159 (0.178)	Loss 2.6144 (2.5473)	Prec@1 36.328 (38.362)	Prec@5 66.406 (68.204)
Epoch: [76][4330/7045]	Time 0.102 (0.246)	Data 0.002 (0.178)	Loss 2.3660 (2.5473)	Prec@1 41.016 (38.359)	Prec@5 74.219 (68.203)
Epoch: [76][4340/7045]	Time 0.122 (0.246)	Data 0.070 (0.178)	Loss 2.4786 (2.5474)	Prec@1 41.406 (38.357)	Prec@5 66.406 (68.201)
Epoch: [76][4350/7045]	Time 0.112 (0.246)	Data 0.059 (0.178)	Loss 2.5349 (2.5475)	Prec@1 37.891 (38.355)	Prec@5 71.094 (68.198)
Epoch: [76][4360/7045]	Time 0.254 (0.246)	Data 0.203 (0.178)	Loss 2.4550 (2.5474)	Prec@1 43.750 (38.360)	Prec@5 68.359 (68.203)
Epoch: [76][4370/7045]	Time 0.113 (0.246)	Data 0.061 (0.178)	Loss 2.6288 (2.5474)	Prec@1 34.766 (38.359)	Prec@5 65.625 (68.200)
Epoch: [76][4380/7045]	Time 0.120 (0.246)	Data 0.069 (0.178)	Loss 2.6818 (2.5474)	Prec@1 35.547 (38.359)	Prec@5 66.406 (68.200)
Epoch: [76][4390/7045]	Time 0.579 (0.246)	Data 0.526 (0.178)	Loss 2.5000 (2.5475)	Prec@1 41.406 (38.359)	Prec@5 67.969 (68.198)
Epoch: [76][4400/7045]	Time 0.102 (0.246)	Data 0.001 (0.178)	Loss 2.6319 (2.5475)	Prec@1 37.500 (38.358)	Prec@5 70.312 (68.195)
Epoch: [76][4410/7045]	Time 0.465 (0.246)	Data 0.413 (0.178)	Loss 2.5479 (2.5476)	Prec@1 40.234 (38.358)	Prec@5 69.531 (68.195)
Epoch: [76][4420/7045]	Time 0.142 (0.246)	Data 0.089 (0.178)	Loss 2.6103 (2.5477)	Prec@1 36.328 (38.356)	Prec@5 67.578 (68.192)
Epoch: [76][4430/7045]	Time 0.102 (0.246)	Data 0.006 (0.178)	Loss 2.5353 (2.5476)	Prec@1 37.109 (38.357)	Prec@5 65.625 (68.190)
Epoch: [76][4440/7045]	Time 0.298 (0.246)	Data 0.246 (0.178)	Loss 2.7383 (2.5477)	Prec@1 35.547 (38.356)	Prec@5 64.844 (68.188)
Epoch: [76][4450/7045]	Time 0.216 (0.246)	Data 0.164 (0.178)	Loss 2.6179 (2.5476)	Prec@1 36.719 (38.357)	Prec@5 67.578 (68.191)
Epoch: [76][4460/7045]	Time 0.120 (0.246)	Data 0.068 (0.178)	Loss 2.3511 (2.5476)	Prec@1 44.141 (38.354)	Prec@5 70.312 (68.189)
Epoch: [76][4470/7045]	Time 0.101 (0.246)	Data 0.001 (0.178)	Loss 2.5796 (2.5475)	Prec@1 37.891 (38.359)	Prec@5 68.359 (68.193)
Epoch: [76][4480/7045]	Time 0.235 (0.246)	Data 0.184 (0.178)	Loss 2.4034 (2.5475)	Prec@1 35.156 (38.359)	Prec@5 71.875 (68.195)
Epoch: [76][4490/7045]	Time 0.138 (0.246)	Data 0.086 (0.178)	Loss 2.3906 (2.5474)	Prec@1 39.062 (38.359)	Prec@5 68.750 (68.195)
Epoch: [76][4500/7045]	Time 0.543 (0.246)	Data 0.492 (0.178)	Loss 2.5674 (2.5475)	Prec@1 33.594 (38.356)	Prec@5 65.625 (68.195)
Epoch: [76][4510/7045]	Time 0.102 (0.246)	Data 0.001 (0.178)	Loss 2.6596 (2.5475)	Prec@1 36.328 (38.356)	Prec@5 63.281 (68.192)
Epoch: [76][4520/7045]	Time 0.246 (0.246)	Data 0.195 (0.178)	Loss 2.5001 (2.5475)	Prec@1 40.234 (38.355)	Prec@5 66.797 (68.191)
Epoch: [76][4530/7045]	Time 0.633 (0.246)	Data 0.581 (0.178)	Loss 2.4956 (2.5475)	Prec@1 38.672 (38.358)	Prec@5 69.922 (68.190)
Epoch: [76][4540/7045]	Time 0.102 (0.246)	Data 0.001 (0.178)	Loss 2.5666 (2.5475)	Prec@1 41.016 (38.360)	Prec@5 68.750 (68.189)
Epoch: [76][4550/7045]	Time 0.155 (0.246)	Data 0.101 (0.178)	Loss 2.5220 (2.5475)	Prec@1 43.359 (38.360)	Prec@5 71.484 (68.189)
Epoch: [76][4560/7045]	Time 0.148 (0.246)	Data 0.096 (0.178)	Loss 2.5511 (2.5473)	Prec@1 38.281 (38.366)	Prec@5 69.531 (68.192)
Epoch: [76][4570/7045]	Time 0.347 (0.246)	Data 0.295 (0.178)	Loss 2.4902 (2.5473)	Prec@1 37.109 (38.366)	Prec@5 70.703 (68.193)
Epoch: [76][4580/7045]	Time 0.310 (0.246)	Data 0.258 (0.178)	Loss 2.8250 (2.5475)	Prec@1 32.031 (38.363)	Prec@5 60.938 (68.188)
Epoch: [76][4590/7045]	Time 0.131 (0.246)	Data 0.079 (0.178)	Loss 2.2881 (2.5474)	Prec@1 44.531 (38.363)	Prec@5 73.828 (68.188)
Epoch: [76][4600/7045]	Time 0.245 (0.246)	Data 0.185 (0.178)	Loss 2.5122 (2.5475)	Prec@1 41.406 (38.363)	Prec@5 67.969 (68.185)
Epoch: [76][4610/7045]	Time 0.102 (0.246)	Data 0.048 (0.178)	Loss 2.7034 (2.5476)	Prec@1 37.500 (38.362)	Prec@5 67.969 (68.184)
Epoch: [76][4620/7045]	Time 0.344 (0.246)	Data 0.294 (0.178)	Loss 2.6588 (2.5477)	Prec@1 37.109 (38.357)	Prec@5 66.406 (68.183)
Epoch: [76][4630/7045]	Time 0.378 (0.246)	Data 0.326 (0.178)	Loss 2.3697 (2.5476)	Prec@1 42.188 (38.357)	Prec@5 71.094 (68.184)
Epoch: [76][4640/7045]	Time 0.101 (0.246)	Data 0.001 (0.178)	Loss 2.6552 (2.5477)	Prec@1 39.844 (38.358)	Prec@5 66.406 (68.183)
Epoch: [76][4650/7045]	Time 0.100 (0.246)	Data 0.048 (0.178)	Loss 2.6064 (2.5479)	Prec@1 38.672 (38.351)	Prec@5 65.234 (68.178)
Epoch: [76][4660/7045]	Time 0.176 (0.246)	Data 0.125 (0.178)	Loss 2.5638 (2.5479)	Prec@1 39.062 (38.351)	Prec@5 69.141 (68.178)
Epoch: [76][4670/7045]	Time 0.233 (0.246)	Data 0.182 (0.178)	Loss 2.5031 (2.5478)	Prec@1 37.891 (38.353)	Prec@5 69.141 (68.178)
Epoch: [76][4680/7045]	Time 0.102 (0.246)	Data 0.001 (0.178)	Loss 2.8209 (2.5478)	Prec@1 33.984 (38.355)	Prec@5 62.109 (68.178)
Epoch: [76][4690/7045]	Time 0.379 (0.246)	Data 0.328 (0.178)	Loss 2.5112 (2.5477)	Prec@1 36.719 (38.358)	Prec@5 67.578 (68.178)
Epoch: [76][4700/7045]	Time 0.303 (0.246)	Data 0.251 (0.178)	Loss 2.5841 (2.5478)	Prec@1 37.500 (38.359)	Prec@5 67.188 (68.176)
Epoch: [76][4710/7045]	Time 0.316 (0.246)	Data 0.256 (0.178)	Loss 2.4134 (2.5476)	Prec@1 35.547 (38.360)	Prec@5 69.922 (68.177)
Epoch: [76][4720/7045]	Time 0.410 (0.246)	Data 0.358 (0.179)	Loss 2.6816 (2.5476)	Prec@1 35.938 (38.359)	Prec@5 69.531 (68.179)
Epoch: [76][4730/7045]	Time 0.283 (0.246)	Data 0.231 (0.179)	Loss 2.2851 (2.5476)	Prec@1 43.359 (38.360)	Prec@5 71.875 (68.178)
Epoch: [76][4740/7045]	Time 0.237 (0.246)	Data 0.185 (0.179)	Loss 2.5355 (2.5475)	Prec@1 33.203 (38.361)	Prec@5 67.969 (68.179)
Epoch: [76][4750/7045]	Time 0.116 (0.246)	Data 0.057 (0.179)	Loss 2.3434 (2.5474)	Prec@1 42.578 (38.360)	Prec@5 72.266 (68.182)
Epoch: [76][4760/7045]	Time 0.219 (0.246)	Data 0.166 (0.179)	Loss 2.4530 (2.5473)	Prec@1 40.625 (38.362)	Prec@5 71.094 (68.184)
Epoch: [76][4770/7045]	Time 0.111 (0.246)	Data 0.059 (0.179)	Loss 2.5008 (2.5474)	Prec@1 38.281 (38.361)	Prec@5 67.188 (68.184)
Epoch: [76][4780/7045]	Time 0.275 (0.246)	Data 0.224 (0.179)	Loss 2.6008 (2.5473)	Prec@1 39.062 (38.362)	Prec@5 64.453 (68.184)
Epoch: [76][4790/7045]	Time 0.105 (0.246)	Data 0.052 (0.179)	Loss 2.8754 (2.5474)	Prec@1 32.422 (38.363)	Prec@5 62.891 (68.184)
Epoch: [76][4800/7045]	Time 0.155 (0.246)	Data 0.103 (0.179)	Loss 2.5651 (2.5474)	Prec@1 35.938 (38.362)	Prec@5 67.969 (68.181)
Epoch: [76][4810/7045]	Time 0.103 (0.246)	Data 0.001 (0.179)	Loss 2.3741 (2.5473)	Prec@1 37.109 (38.363)	Prec@5 72.656 (68.182)
Epoch: [76][4820/7045]	Time 0.233 (0.246)	Data 0.181 (0.179)	Loss 2.4490 (2.5473)	Prec@1 38.281 (38.363)	Prec@5 67.188 (68.181)
Epoch: [76][4830/7045]	Time 0.103 (0.246)	Data 0.001 (0.179)	Loss 2.8536 (2.5474)	Prec@1 34.375 (38.360)	Prec@5 63.672 (68.181)
Epoch: [76][4840/7045]	Time 0.688 (0.246)	Data 0.637 (0.179)	Loss 2.6033 (2.5473)	Prec@1 36.719 (38.360)	Prec@5 66.016 (68.183)
Epoch: [76][4850/7045]	Time 0.107 (0.246)	Data 0.054 (0.179)	Loss 2.6662 (2.5473)	Prec@1 37.109 (38.360)	Prec@5 65.234 (68.182)
Epoch: [76][4860/7045]	Time 0.602 (0.246)	Data 0.550 (0.179)	Loss 2.3711 (2.5472)	Prec@1 42.188 (38.360)	Prec@5 67.578 (68.180)
Epoch: [76][4870/7045]	Time 0.103 (0.246)	Data 0.001 (0.179)	Loss 2.6148 (2.5472)	Prec@1 40.625 (38.362)	Prec@5 68.750 (68.183)
Epoch: [76][4880/7045]	Time 0.500 (0.246)	Data 0.448 (0.179)	Loss 2.6727 (2.5473)	Prec@1 37.109 (38.361)	Prec@5 64.062 (68.179)
Epoch: [76][4890/7045]	Time 0.352 (0.246)	Data 0.301 (0.179)	Loss 2.5420 (2.5472)	Prec@1 37.109 (38.362)	Prec@5 67.578 (68.179)
Epoch: [76][4900/7045]	Time 0.374 (0.246)	Data 0.321 (0.179)	Loss 2.4921 (2.5471)	Prec@1 42.578 (38.367)	Prec@5 68.359 (68.182)
Epoch: [76][4910/7045]	Time 0.417 (0.246)	Data 0.366 (0.179)	Loss 2.6440 (2.5472)	Prec@1 36.719 (38.365)	Prec@5 69.531 (68.181)
Epoch: [76][4920/7045]	Time 0.171 (0.246)	Data 0.118 (0.179)	Loss 2.5143 (2.5473)	Prec@1 38.281 (38.362)	Prec@5 68.359 (68.181)
Epoch: [76][4930/7045]	Time 0.293 (0.246)	Data 0.240 (0.179)	Loss 2.7510 (2.5473)	Prec@1 32.812 (38.361)	Prec@5 64.844 (68.180)
Epoch: [76][4940/7045]	Time 0.113 (0.246)	Data 0.061 (0.179)	Loss 2.5174 (2.5473)	Prec@1 37.500 (38.360)	Prec@5 71.484 (68.183)
Epoch: [76][4950/7045]	Time 0.171 (0.246)	Data 0.120 (0.179)	Loss 2.6336 (2.5472)	Prec@1 38.672 (38.360)	Prec@5 63.672 (68.184)
Epoch: [76][4960/7045]	Time 0.181 (0.246)	Data 0.130 (0.179)	Loss 2.7820 (2.5473)	Prec@1 35.938 (38.359)	Prec@5 60.938 (68.182)
Epoch: [76][4970/7045]	Time 0.159 (0.246)	Data 0.108 (0.179)	Loss 2.6884 (2.5473)	Prec@1 37.109 (38.358)	Prec@5 64.062 (68.179)
Epoch: [76][4980/7045]	Time 0.217 (0.246)	Data 0.166 (0.179)	Loss 2.3824 (2.5474)	Prec@1 37.109 (38.356)	Prec@5 72.656 (68.176)
Epoch: [76][4990/7045]	Time 0.207 (0.246)	Data 0.155 (0.179)	Loss 2.6380 (2.5475)	Prec@1 36.328 (38.354)	Prec@5 66.797 (68.177)
Epoch: [76][5000/7045]	Time 0.106 (0.246)	Data 0.001 (0.179)	Loss 2.6083 (2.5476)	Prec@1 37.891 (38.353)	Prec@5 67.578 (68.178)
Epoch: [76][5010/7045]	Time 0.719 (0.246)	Data 0.661 (0.179)	Loss 2.5639 (2.5475)	Prec@1 34.766 (38.350)	Prec@5 69.531 (68.179)
Epoch: [76][5020/7045]	Time 0.101 (0.246)	Data 0.001 (0.179)	Loss 2.4965 (2.5475)	Prec@1 37.891 (38.351)	Prec@5 64.844 (68.177)
Epoch: [76][5030/7045]	Time 0.479 (0.246)	Data 0.428 (0.179)	Loss 2.4544 (2.5474)	Prec@1 40.234 (38.353)	Prec@5 68.359 (68.179)
Epoch: [76][5040/7045]	Time 0.102 (0.246)	Data 0.003 (0.179)	Loss 2.6976 (2.5474)	Prec@1 37.109 (38.351)	Prec@5 62.109 (68.176)
Epoch: [76][5050/7045]	Time 0.183 (0.246)	Data 0.130 (0.179)	Loss 2.5644 (2.5474)	Prec@1 37.500 (38.350)	Prec@5 67.188 (68.175)
Epoch: [76][5060/7045]	Time 0.166 (0.246)	Data 0.115 (0.179)	Loss 2.5601 (2.5474)	Prec@1 41.406 (38.352)	Prec@5 66.797 (68.174)
Epoch: [76][5070/7045]	Time 0.225 (0.246)	Data 0.174 (0.179)	Loss 2.5913 (2.5476)	Prec@1 39.062 (38.348)	Prec@5 67.578 (68.169)
Epoch: [76][5080/7045]	Time 0.514 (0.246)	Data 0.456 (0.179)	Loss 2.4802 (2.5476)	Prec@1 39.844 (38.347)	Prec@5 66.016 (68.169)
Epoch: [76][5090/7045]	Time 0.102 (0.246)	Data 0.001 (0.179)	Loss 2.4473 (2.5478)	Prec@1 38.281 (38.343)	Prec@5 69.531 (68.166)
Epoch: [76][5100/7045]	Time 0.111 (0.246)	Data 0.001 (0.179)	Loss 2.5154 (2.5478)	Prec@1 39.844 (38.342)	Prec@5 66.406 (68.164)
Epoch: [76][5110/7045]	Time 0.102 (0.246)	Data 0.001 (0.179)	Loss 2.6926 (2.5479)	Prec@1 35.156 (38.341)	Prec@5 70.312 (68.164)
Epoch: [76][5120/7045]	Time 0.237 (0.246)	Data 0.185 (0.179)	Loss 2.4738 (2.5478)	Prec@1 35.547 (38.342)	Prec@5 68.750 (68.164)
Epoch: [76][5130/7045]	Time 0.498 (0.246)	Data 0.446 (0.179)	Loss 2.7880 (2.5478)	Prec@1 33.203 (38.342)	Prec@5 61.719 (68.166)
Epoch: [76][5140/7045]	Time 0.102 (0.246)	Data 0.005 (0.179)	Loss 2.6366 (2.5478)	Prec@1 36.328 (38.342)	Prec@5 63.672 (68.166)
Epoch: [76][5150/7045]	Time 0.101 (0.246)	Data 0.001 (0.179)	Loss 2.3566 (2.5478)	Prec@1 44.922 (38.343)	Prec@5 76.953 (68.167)
Epoch: [76][5160/7045]	Time 0.428 (0.246)	Data 0.376 (0.179)	Loss 2.6596 (2.5477)	Prec@1 34.375 (38.344)	Prec@5 65.625 (68.166)
Epoch: [76][5170/7045]	Time 0.102 (0.246)	Data 0.008 (0.179)	Loss 2.5270 (2.5478)	Prec@1 37.500 (38.343)	Prec@5 69.141 (68.165)
Epoch: [76][5180/7045]	Time 0.187 (0.246)	Data 0.136 (0.179)	Loss 2.6613 (2.5477)	Prec@1 33.203 (38.344)	Prec@5 60.938 (68.166)
Epoch: [76][5190/7045]	Time 0.102 (0.246)	Data 0.005 (0.179)	Loss 2.6676 (2.5478)	Prec@1 39.453 (38.343)	Prec@5 62.500 (68.164)
Epoch: [76][5200/7045]	Time 0.317 (0.246)	Data 0.265 (0.179)	Loss 2.3526 (2.5478)	Prec@1 39.844 (38.341)	Prec@5 71.875 (68.164)
Epoch: [76][5210/7045]	Time 0.708 (0.246)	Data 0.655 (0.179)	Loss 2.6580 (2.5478)	Prec@1 35.938 (38.342)	Prec@5 66.797 (68.164)
Epoch: [76][5220/7045]	Time 0.104 (0.246)	Data 0.052 (0.179)	Loss 2.3288 (2.5478)	Prec@1 43.750 (38.345)	Prec@5 72.656 (68.164)
Epoch: [76][5230/7045]	Time 0.108 (0.246)	Data 0.001 (0.179)	Loss 2.7357 (2.5477)	Prec@1 33.203 (38.347)	Prec@5 67.188 (68.166)
Epoch: [76][5240/7045]	Time 0.102 (0.246)	Data 0.001 (0.179)	Loss 2.4877 (2.5476)	Prec@1 42.188 (38.350)	Prec@5 67.969 (68.167)
Epoch: [76][5250/7045]	Time 0.102 (0.246)	Data 0.001 (0.179)	Loss 2.4823 (2.5475)	Prec@1 37.891 (38.352)	Prec@5 69.922 (68.170)
Epoch: [76][5260/7045]	Time 0.389 (0.246)	Data 0.337 (0.179)	Loss 2.5495 (2.5475)	Prec@1 41.016 (38.354)	Prec@5 66.016 (68.170)
Epoch: [76][5270/7045]	Time 0.103 (0.246)	Data 0.001 (0.179)	Loss 2.6551 (2.5475)	Prec@1 35.156 (38.352)	Prec@5 66.016 (68.170)
Epoch: [76][5280/7045]	Time 0.527 (0.246)	Data 0.468 (0.179)	Loss 2.3909 (2.5475)	Prec@1 39.453 (38.353)	Prec@5 76.172 (68.168)
Epoch: [76][5290/7045]	Time 0.106 (0.246)	Data 0.053 (0.179)	Loss 2.6143 (2.5476)	Prec@1 36.719 (38.351)	Prec@5 66.406 (68.169)
Epoch: [76][5300/7045]	Time 0.102 (0.246)	Data 0.044 (0.179)	Loss 2.5518 (2.5475)	Prec@1 39.062 (38.353)	Prec@5 65.625 (68.168)
Epoch: [76][5310/7045]	Time 0.416 (0.246)	Data 0.364 (0.179)	Loss 2.5635 (2.5476)	Prec@1 40.234 (38.353)	Prec@5 67.578 (68.168)
Epoch: [76][5320/7045]	Time 0.102 (0.246)	Data 0.001 (0.179)	Loss 2.7077 (2.5476)	Prec@1 36.719 (38.354)	Prec@5 65.234 (68.165)
Epoch: [76][5330/7045]	Time 0.548 (0.246)	Data 0.490 (0.179)	Loss 2.6092 (2.5476)	Prec@1 41.016 (38.355)	Prec@5 64.062 (68.166)
Epoch: [76][5340/7045]	Time 0.102 (0.246)	Data 0.004 (0.179)	Loss 2.5049 (2.5476)	Prec@1 35.547 (38.356)	Prec@5 67.578 (68.166)
Epoch: [76][5350/7045]	Time 0.154 (0.246)	Data 0.097 (0.179)	Loss 2.2718 (2.5476)	Prec@1 40.625 (38.355)	Prec@5 73.438 (68.166)
Epoch: [76][5360/7045]	Time 0.531 (0.246)	Data 0.481 (0.179)	Loss 2.5381 (2.5477)	Prec@1 39.062 (38.354)	Prec@5 67.969 (68.163)
Epoch: [76][5370/7045]	Time 0.102 (0.246)	Data 0.001 (0.179)	Loss 2.6728 (2.5477)	Prec@1 33.594 (38.354)	Prec@5 65.234 (68.160)
Epoch: [76][5380/7045]	Time 0.595 (0.246)	Data 0.537 (0.179)	Loss 2.5911 (2.5478)	Prec@1 41.406 (38.353)	Prec@5 69.922 (68.160)
Epoch: [76][5390/7045]	Time 0.103 (0.246)	Data 0.001 (0.179)	Loss 2.5657 (2.5479)	Prec@1 36.719 (38.349)	Prec@5 66.406 (68.158)
Epoch: [76][5400/7045]	Time 0.217 (0.246)	Data 0.165 (0.179)	Loss 2.4649 (2.5479)	Prec@1 39.062 (38.350)	Prec@5 67.578 (68.158)
Epoch: [76][5410/7045]	Time 0.102 (0.246)	Data 0.001 (0.179)	Loss 2.6415 (2.5479)	Prec@1 34.375 (38.349)	Prec@5 65.625 (68.159)
Epoch: [76][5420/7045]	Time 0.101 (0.246)	Data 0.001 (0.179)	Loss 2.4269 (2.5477)	Prec@1 39.453 (38.354)	Prec@5 70.312 (68.163)
Epoch: [76][5430/7045]	Time 0.670 (0.246)	Data 0.619 (0.179)	Loss 2.4245 (2.5476)	Prec@1 37.109 (38.356)	Prec@5 72.656 (68.165)
Epoch: [76][5440/7045]	Time 0.102 (0.246)	Data 0.001 (0.179)	Loss 2.6075 (2.5476)	Prec@1 40.234 (38.356)	Prec@5 70.703 (68.167)
Epoch: [76][5450/7045]	Time 0.469 (0.246)	Data 0.417 (0.179)	Loss 2.6542 (2.5475)	Prec@1 32.422 (38.358)	Prec@5 65.234 (68.169)
Epoch: [76][5460/7045]	Time 0.102 (0.246)	Data 0.001 (0.178)	Loss 2.6753 (2.5476)	Prec@1 37.109 (38.358)	Prec@5 67.578 (68.165)
Epoch: [76][5470/7045]	Time 0.103 (0.246)	Data 0.007 (0.178)	Loss 2.6187 (2.5476)	Prec@1 33.203 (38.359)	Prec@5 66.406 (68.166)
Epoch: [76][5480/7045]	Time 0.399 (0.246)	Data 0.348 (0.178)	Loss 2.5438 (2.5475)	Prec@1 39.844 (38.362)	Prec@5 67.188 (68.167)
Epoch: [76][5490/7045]	Time 0.102 (0.246)	Data 0.001 (0.178)	Loss 2.6788 (2.5476)	Prec@1 35.547 (38.360)	Prec@5 66.797 (68.166)
Epoch: [76][5500/7045]	Time 0.621 (0.246)	Data 0.569 (0.178)	Loss 2.4961 (2.5475)	Prec@1 40.625 (38.361)	Prec@5 70.312 (68.169)
Epoch: [76][5510/7045]	Time 0.103 (0.246)	Data 0.001 (0.178)	Loss 2.4717 (2.5475)	Prec@1 39.453 (38.360)	Prec@5 71.875 (68.170)
Epoch: [76][5520/7045]	Time 0.437 (0.246)	Data 0.380 (0.178)	Loss 2.3805 (2.5475)	Prec@1 45.703 (38.361)	Prec@5 69.922 (68.167)
Epoch: [76][5530/7045]	Time 0.102 (0.246)	Data 0.004 (0.178)	Loss 2.5229 (2.5475)	Prec@1 38.672 (38.361)	Prec@5 68.359 (68.169)
Epoch: [76][5540/7045]	Time 0.109 (0.246)	Data 0.010 (0.178)	Loss 2.4058 (2.5475)	Prec@1 41.797 (38.360)	Prec@5 69.922 (68.171)
Epoch: [76][5550/7045]	Time 0.102 (0.246)	Data 0.001 (0.178)	Loss 2.5722 (2.5475)	Prec@1 41.406 (38.362)	Prec@5 67.188 (68.173)
Epoch: [76][5560/7045]	Time 0.108 (0.246)	Data 0.008 (0.178)	Loss 2.5353 (2.5474)	Prec@1 34.766 (38.361)	Prec@5 67.188 (68.173)
Epoch: [76][5570/7045]	Time 0.802 (0.246)	Data 0.749 (0.178)	Loss 2.5471 (2.5474)	Prec@1 37.109 (38.362)	Prec@5 68.359 (68.171)
Epoch: [76][5580/7045]	Time 0.103 (0.246)	Data 0.001 (0.178)	Loss 2.4372 (2.5474)	Prec@1 42.578 (38.361)	Prec@5 73.438 (68.173)
Epoch: [76][5590/7045]	Time 0.304 (0.246)	Data 0.251 (0.178)	Loss 2.6375 (2.5475)	Prec@1 36.719 (38.358)	Prec@5 65.625 (68.169)
Epoch: [76][5600/7045]	Time 0.103 (0.246)	Data 0.001 (0.178)	Loss 2.3579 (2.5474)	Prec@1 46.094 (38.363)	Prec@5 71.875 (68.171)
Epoch: [76][5610/7045]	Time 0.109 (0.246)	Data 0.007 (0.178)	Loss 2.6768 (2.5474)	Prec@1 31.250 (38.359)	Prec@5 64.844 (68.171)
Epoch: [76][5620/7045]	Time 0.102 (0.246)	Data 0.001 (0.178)	Loss 2.4771 (2.5475)	Prec@1 37.109 (38.358)	Prec@5 68.359 (68.168)
Epoch: [76][5630/7045]	Time 0.103 (0.246)	Data 0.005 (0.178)	Loss 2.6303 (2.5476)	Prec@1 39.062 (38.357)	Prec@5 64.062 (68.165)
Epoch: [76][5640/7045]	Time 0.472 (0.246)	Data 0.420 (0.178)	Loss 2.4402 (2.5475)	Prec@1 39.453 (38.357)	Prec@5 70.312 (68.167)
Epoch: [76][5650/7045]	Time 0.244 (0.246)	Data 0.193 (0.178)	Loss 2.7093 (2.5475)	Prec@1 34.766 (38.356)	Prec@5 65.234 (68.166)
Epoch: [76][5660/7045]	Time 0.905 (0.246)	Data 0.854 (0.178)	Loss 2.6045 (2.5476)	Prec@1 35.547 (38.354)	Prec@5 67.188 (68.165)
Epoch: [76][5670/7045]	Time 0.102 (0.246)	Data 0.001 (0.178)	Loss 2.6796 (2.5476)	Prec@1 40.625 (38.354)	Prec@5 67.969 (68.165)
Epoch: [76][5680/7045]	Time 0.142 (0.246)	Data 0.091 (0.178)	Loss 2.5733 (2.5477)	Prec@1 41.406 (38.354)	Prec@5 67.188 (68.165)
Epoch: [76][5690/7045]	Time 0.102 (0.246)	Data 0.001 (0.178)	Loss 2.6425 (2.5477)	Prec@1 35.156 (38.352)	Prec@5 64.062 (68.163)
Epoch: [76][5700/7045]	Time 0.241 (0.246)	Data 0.183 (0.178)	Loss 2.5412 (2.5477)	Prec@1 37.891 (38.350)	Prec@5 71.484 (68.163)
Epoch: [76][5710/7045]	Time 0.534 (0.246)	Data 0.481 (0.178)	Loss 2.3938 (2.5476)	Prec@1 41.016 (38.355)	Prec@5 70.703 (68.164)
Epoch: [76][5720/7045]	Time 0.100 (0.246)	Data 0.001 (0.178)	Loss 2.3863 (2.5475)	Prec@1 40.234 (38.355)	Prec@5 73.047 (68.166)
Epoch: [76][5730/7045]	Time 0.174 (0.246)	Data 0.123 (0.178)	Loss 2.3680 (2.5475)	Prec@1 45.703 (38.354)	Prec@5 70.703 (68.167)
Epoch: [76][5740/7045]	Time 0.416 (0.246)	Data 0.366 (0.178)	Loss 2.5172 (2.5474)	Prec@1 37.109 (38.357)	Prec@5 67.969 (68.168)
Epoch: [76][5750/7045]	Time 0.122 (0.246)	Data 0.070 (0.178)	Loss 2.4555 (2.5475)	Prec@1 41.016 (38.355)	Prec@5 70.312 (68.167)
Epoch: [76][5760/7045]	Time 0.302 (0.246)	Data 0.250 (0.178)	Loss 2.3870 (2.5474)	Prec@1 41.797 (38.357)	Prec@5 69.531 (68.167)
Epoch: [76][5770/7045]	Time 0.102 (0.246)	Data 0.001 (0.178)	Loss 2.7189 (2.5475)	Prec@1 36.719 (38.355)	Prec@5 66.406 (68.166)
Epoch: [76][5780/7045]	Time 0.102 (0.246)	Data 0.001 (0.178)	Loss 2.7356 (2.5475)	Prec@1 37.109 (38.355)	Prec@5 64.844 (68.165)
Epoch: [76][5790/7045]	Time 0.112 (0.246)	Data 0.060 (0.178)	Loss 2.4369 (2.5473)	Prec@1 35.547 (38.358)	Prec@5 73.438 (68.168)
Epoch: [76][5800/7045]	Time 0.102 (0.246)	Data 0.005 (0.178)	Loss 2.5659 (2.5473)	Prec@1 42.188 (38.360)	Prec@5 69.141 (68.168)
Epoch: [76][5810/7045]	Time 0.380 (0.246)	Data 0.329 (0.178)	Loss 2.5854 (2.5474)	Prec@1 39.844 (38.360)	Prec@5 69.922 (68.168)
Epoch: [76][5820/7045]	Time 0.447 (0.246)	Data 0.395 (0.178)	Loss 2.5309 (2.5475)	Prec@1 37.891 (38.359)	Prec@5 71.094 (68.165)
Epoch: [76][5830/7045]	Time 0.161 (0.246)	Data 0.109 (0.178)	Loss 2.7060 (2.5474)	Prec@1 36.719 (38.360)	Prec@5 61.328 (68.167)
Epoch: [76][5840/7045]	Time 0.261 (0.246)	Data 0.209 (0.178)	Loss 2.5687 (2.5475)	Prec@1 41.016 (38.360)	Prec@5 66.797 (68.166)
Epoch: [76][5850/7045]	Time 0.102 (0.246)	Data 0.001 (0.178)	Loss 2.7584 (2.5474)	Prec@1 36.328 (38.361)	Prec@5 65.625 (68.167)
Epoch: [76][5860/7045]	Time 0.105 (0.246)	Data 0.051 (0.178)	Loss 2.4235 (2.5474)	Prec@1 40.625 (38.362)	Prec@5 70.312 (68.168)
Epoch: [76][5870/7045]	Time 0.255 (0.246)	Data 0.203 (0.178)	Loss 2.5608 (2.5475)	Prec@1 39.062 (38.360)	Prec@5 64.844 (68.166)
Epoch: [76][5880/7045]	Time 0.102 (0.246)	Data 0.003 (0.178)	Loss 2.5677 (2.5475)	Prec@1 38.281 (38.359)	Prec@5 71.875 (68.167)
Epoch: [76][5890/7045]	Time 0.649 (0.246)	Data 0.590 (0.178)	Loss 2.4966 (2.5475)	Prec@1 45.312 (38.361)	Prec@5 68.359 (68.167)
Epoch: [76][5900/7045]	Time 0.103 (0.246)	Data 0.001 (0.178)	Loss 2.5947 (2.5473)	Prec@1 37.500 (38.362)	Prec@5 66.797 (68.168)
Epoch: [76][5910/7045]	Time 0.597 (0.246)	Data 0.546 (0.178)	Loss 2.6043 (2.5474)	Prec@1 38.672 (38.361)	Prec@5 64.062 (68.168)
Epoch: [76][5920/7045]	Time 0.110 (0.246)	Data 0.058 (0.178)	Loss 2.2555 (2.5473)	Prec@1 43.359 (38.365)	Prec@5 76.172 (68.169)
Epoch: [76][5930/7045]	Time 0.153 (0.246)	Data 0.101 (0.178)	Loss 2.6793 (2.5473)	Prec@1 35.938 (38.364)	Prec@5 64.844 (68.168)
Epoch: [76][5940/7045]	Time 0.109 (0.246)	Data 0.057 (0.178)	Loss 2.5697 (2.5475)	Prec@1 38.672 (38.361)	Prec@5 67.578 (68.164)
Epoch: [76][5950/7045]	Time 0.516 (0.246)	Data 0.463 (0.178)	Loss 2.3948 (2.5475)	Prec@1 40.625 (38.360)	Prec@5 68.750 (68.165)
Epoch: [76][5960/7045]	Time 0.103 (0.246)	Data 0.047 (0.178)	Loss 2.4075 (2.5475)	Prec@1 42.578 (38.358)	Prec@5 70.703 (68.163)
Epoch: [76][5970/7045]	Time 0.153 (0.246)	Data 0.101 (0.178)	Loss 2.6371 (2.5475)	Prec@1 35.156 (38.357)	Prec@5 67.578 (68.161)
Epoch: [76][5980/7045]	Time 0.468 (0.246)	Data 0.412 (0.178)	Loss 2.4549 (2.5476)	Prec@1 40.234 (38.355)	Prec@5 72.656 (68.162)
Epoch: [76][5990/7045]	Time 0.102 (0.246)	Data 0.001 (0.178)	Loss 2.5524 (2.5477)	Prec@1 33.203 (38.354)	Prec@5 69.141 (68.159)
Epoch: [76][6000/7045]	Time 0.120 (0.246)	Data 0.061 (0.178)	Loss 2.5467 (2.5476)	Prec@1 34.766 (38.355)	Prec@5 67.578 (68.161)
Epoch: [76][6010/7045]	Time 0.357 (0.246)	Data 0.306 (0.178)	Loss 2.6451 (2.5476)	Prec@1 37.891 (38.355)	Prec@5 66.406 (68.161)
Epoch: [76][6020/7045]	Time 0.109 (0.246)	Data 0.057 (0.178)	Loss 2.6924 (2.5475)	Prec@1 40.234 (38.356)	Prec@5 65.625 (68.164)
Epoch: [76][6030/7045]	Time 0.364 (0.246)	Data 0.312 (0.178)	Loss 2.4955 (2.5476)	Prec@1 41.016 (38.356)	Prec@5 71.094 (68.163)
Epoch: [76][6040/7045]	Time 0.269 (0.246)	Data 0.219 (0.178)	Loss 2.6637 (2.5476)	Prec@1 30.469 (38.354)	Prec@5 65.625 (68.162)
Epoch: [76][6050/7045]	Time 0.165 (0.246)	Data 0.113 (0.178)	Loss 2.4043 (2.5477)	Prec@1 44.141 (38.353)	Prec@5 70.312 (68.160)
Epoch: [76][6060/7045]	Time 0.567 (0.246)	Data 0.510 (0.178)	Loss 2.5921 (2.5478)	Prec@1 37.891 (38.352)	Prec@5 70.703 (68.159)
Epoch: [76][6070/7045]	Time 0.239 (0.246)	Data 0.187 (0.178)	Loss 2.4942 (2.5477)	Prec@1 38.281 (38.353)	Prec@5 71.875 (68.162)
Epoch: [76][6080/7045]	Time 0.108 (0.246)	Data 0.045 (0.178)	Loss 2.5360 (2.5477)	Prec@1 39.844 (38.352)	Prec@5 69.531 (68.161)
Epoch: [76][6090/7045]	Time 0.213 (0.246)	Data 0.161 (0.178)	Loss 2.4688 (2.5476)	Prec@1 39.844 (38.355)	Prec@5 69.141 (68.161)
Epoch: [76][6100/7045]	Time 0.145 (0.246)	Data 0.092 (0.178)	Loss 2.5813 (2.5476)	Prec@1 38.281 (38.356)	Prec@5 67.969 (68.162)
Epoch: [76][6110/7045]	Time 0.468 (0.246)	Data 0.417 (0.179)	Loss 2.5534 (2.5477)	Prec@1 39.453 (38.355)	Prec@5 71.094 (68.160)
Epoch: [76][6120/7045]	Time 0.256 (0.246)	Data 0.205 (0.178)	Loss 2.4474 (2.5477)	Prec@1 41.016 (38.354)	Prec@5 67.969 (68.159)
Epoch: [76][6130/7045]	Time 0.102 (0.246)	Data 0.001 (0.179)	Loss 2.6206 (2.5477)	Prec@1 37.500 (38.355)	Prec@5 66.797 (68.158)
Epoch: [76][6140/7045]	Time 0.285 (0.246)	Data 0.231 (0.179)	Loss 2.4208 (2.5477)	Prec@1 42.578 (38.358)	Prec@5 73.047 (68.157)
Epoch: [76][6150/7045]	Time 0.108 (0.246)	Data 0.001 (0.179)	Loss 2.8354 (2.5479)	Prec@1 36.719 (38.355)	Prec@5 62.891 (68.153)
Epoch: [76][6160/7045]	Time 0.507 (0.246)	Data 0.455 (0.179)	Loss 2.4126 (2.5478)	Prec@1 42.188 (38.357)	Prec@5 71.484 (68.154)
Epoch: [76][6170/7045]	Time 0.249 (0.246)	Data 0.196 (0.179)	Loss 2.4795 (2.5478)	Prec@1 41.406 (38.360)	Prec@5 69.531 (68.156)
Epoch: [76][6180/7045]	Time 0.113 (0.246)	Data 0.061 (0.179)	Loss 2.4076 (2.5477)	Prec@1 40.234 (38.359)	Prec@5 70.703 (68.156)
Epoch: [76][6190/7045]	Time 0.102 (0.246)	Data 0.001 (0.179)	Loss 2.5134 (2.5478)	Prec@1 39.062 (38.358)	Prec@5 68.359 (68.155)
Epoch: [76][6200/7045]	Time 0.102 (0.246)	Data 0.001 (0.178)	Loss 2.5886 (2.5478)	Prec@1 34.766 (38.361)	Prec@5 65.625 (68.154)
Epoch: [76][6210/7045]	Time 0.432 (0.246)	Data 0.381 (0.179)	Loss 2.6161 (2.5478)	Prec@1 36.328 (38.358)	Prec@5 67.578 (68.153)
Epoch: [76][6220/7045]	Time 0.391 (0.246)	Data 0.339 (0.179)	Loss 2.5791 (2.5478)	Prec@1 34.766 (38.359)	Prec@5 69.141 (68.153)
Epoch: [76][6230/7045]	Time 0.112 (0.246)	Data 0.060 (0.179)	Loss 2.3897 (2.5478)	Prec@1 44.141 (38.360)	Prec@5 71.875 (68.153)
Epoch: [76][6240/7045]	Time 0.103 (0.246)	Data 0.002 (0.179)	Loss 2.4479 (2.5478)	Prec@1 38.672 (38.359)	Prec@5 68.359 (68.153)
Epoch: [76][6250/7045]	Time 0.111 (0.246)	Data 0.059 (0.179)	Loss 2.6254 (2.5478)	Prec@1 36.328 (38.357)	Prec@5 68.750 (68.152)
Epoch: [76][6260/7045]	Time 0.331 (0.246)	Data 0.279 (0.179)	Loss 2.7734 (2.5479)	Prec@1 33.203 (38.356)	Prec@5 63.672 (68.152)
Epoch: [76][6270/7045]	Time 0.435 (0.246)	Data 0.384 (0.179)	Loss 2.6925 (2.5479)	Prec@1 37.500 (38.355)	Prec@5 69.141 (68.151)
Epoch: [76][6280/7045]	Time 0.165 (0.246)	Data 0.113 (0.179)	Loss 2.4138 (2.5479)	Prec@1 38.281 (38.355)	Prec@5 73.047 (68.151)
Epoch: [76][6290/7045]	Time 0.102 (0.246)	Data 0.002 (0.179)	Loss 2.7269 (2.5479)	Prec@1 33.984 (38.355)	Prec@5 66.016 (68.151)
Epoch: [76][6300/7045]	Time 0.109 (0.246)	Data 0.057 (0.179)	Loss 2.4874 (2.5479)	Prec@1 41.797 (38.354)	Prec@5 70.703 (68.152)
Epoch: [76][6310/7045]	Time 0.220 (0.246)	Data 0.169 (0.179)	Loss 2.5811 (2.5479)	Prec@1 37.891 (38.354)	Prec@5 67.188 (68.151)
Epoch: [76][6320/7045]	Time 0.292 (0.246)	Data 0.241 (0.179)	Loss 2.5684 (2.5480)	Prec@1 35.156 (38.354)	Prec@5 67.969 (68.150)
Epoch: [76][6330/7045]	Time 0.134 (0.246)	Data 0.082 (0.179)	Loss 2.5693 (2.5481)	Prec@1 38.281 (38.350)	Prec@5 68.359 (68.148)
Epoch: [76][6340/7045]	Time 0.465 (0.246)	Data 0.413 (0.179)	Loss 2.6479 (2.5482)	Prec@1 38.672 (38.349)	Prec@5 66.016 (68.148)
Epoch: [76][6350/7045]	Time 0.101 (0.246)	Data 0.048 (0.179)	Loss 2.5854 (2.5482)	Prec@1 35.938 (38.350)	Prec@5 66.406 (68.148)
Epoch: [76][6360/7045]	Time 0.110 (0.246)	Data 0.058 (0.179)	Loss 2.4314 (2.5482)	Prec@1 41.016 (38.349)	Prec@5 67.578 (68.148)
Epoch: [76][6370/7045]	Time 0.689 (0.246)	Data 0.638 (0.179)	Loss 2.7252 (2.5482)	Prec@1 38.281 (38.349)	Prec@5 63.672 (68.147)
Epoch: [76][6380/7045]	Time 0.160 (0.246)	Data 0.108 (0.179)	Loss 2.6528 (2.5482)	Prec@1 37.891 (38.350)	Prec@5 64.844 (68.147)
Epoch: [76][6390/7045]	Time 0.325 (0.246)	Data 0.272 (0.179)	Loss 2.4535 (2.5482)	Prec@1 45.312 (38.351)	Prec@5 70.703 (68.147)
Epoch: [76][6400/7045]	Time 0.102 (0.246)	Data 0.001 (0.179)	Loss 2.4447 (2.5483)	Prec@1 43.750 (38.350)	Prec@5 69.141 (68.146)
Epoch: [76][6410/7045]	Time 0.249 (0.246)	Data 0.198 (0.179)	Loss 2.5242 (2.5482)	Prec@1 33.984 (38.349)	Prec@5 68.359 (68.148)
Epoch: [76][6420/7045]	Time 0.491 (0.246)	Data 0.439 (0.179)	Loss 2.5642 (2.5483)	Prec@1 41.016 (38.347)	Prec@5 69.141 (68.146)
Epoch: [76][6430/7045]	Time 0.105 (0.246)	Data 0.052 (0.179)	Loss 2.6263 (2.5482)	Prec@1 37.109 (38.348)	Prec@5 69.531 (68.148)
Epoch: [76][6440/7045]	Time 0.264 (0.246)	Data 0.212 (0.179)	Loss 2.4889 (2.5482)	Prec@1 41.016 (38.349)	Prec@5 65.625 (68.149)
Epoch: [76][6450/7045]	Time 0.467 (0.246)	Data 0.408 (0.179)	Loss 2.6487 (2.5482)	Prec@1 33.984 (38.349)	Prec@5 66.797 (68.150)
Epoch: [76][6460/7045]	Time 0.102 (0.246)	Data 0.001 (0.179)	Loss 2.5761 (2.5483)	Prec@1 38.281 (38.347)	Prec@5 69.531 (68.149)
Epoch: [76][6470/7045]	Time 0.284 (0.246)	Data 0.232 (0.179)	Loss 2.5243 (2.5483)	Prec@1 41.016 (38.348)	Prec@5 68.359 (68.147)
Epoch: [76][6480/7045]	Time 0.352 (0.246)	Data 0.300 (0.179)	Loss 2.6903 (2.5484)	Prec@1 35.156 (38.347)	Prec@5 64.453 (68.147)
Epoch: [76][6490/7045]	Time 0.458 (0.246)	Data 0.399 (0.179)	Loss 2.5407 (2.5484)	Prec@1 36.328 (38.348)	Prec@5 68.750 (68.146)
Epoch: [76][6500/7045]	Time 0.101 (0.246)	Data 0.001 (0.179)	Loss 2.4433 (2.5483)	Prec@1 34.375 (38.349)	Prec@5 73.438 (68.146)
Epoch: [76][6510/7045]	Time 0.601 (0.246)	Data 0.548 (0.179)	Loss 2.4570 (2.5484)	Prec@1 41.797 (38.349)	Prec@5 68.359 (68.147)
Epoch: [76][6520/7045]	Time 0.226 (0.246)	Data 0.173 (0.179)	Loss 2.7935 (2.5485)	Prec@1 32.031 (38.348)	Prec@5 60.547 (68.144)
Epoch: [76][6530/7045]	Time 0.281 (0.246)	Data 0.230 (0.179)	Loss 2.5169 (2.5485)	Prec@1 39.062 (38.347)	Prec@5 70.312 (68.143)
Epoch: [76][6540/7045]	Time 0.101 (0.246)	Data 0.003 (0.179)	Loss 2.7037 (2.5487)	Prec@1 33.203 (38.342)	Prec@5 65.625 (68.139)
Epoch: [76][6550/7045]	Time 0.107 (0.246)	Data 0.054 (0.179)	Loss 2.6068 (2.5487)	Prec@1 40.234 (38.343)	Prec@5 69.531 (68.140)
Epoch: [76][6560/7045]	Time 0.221 (0.246)	Data 0.169 (0.179)	Loss 2.3935 (2.5487)	Prec@1 41.406 (38.343)	Prec@5 67.578 (68.139)
Epoch: [76][6570/7045]	Time 0.348 (0.246)	Data 0.297 (0.179)	Loss 2.5601 (2.5487)	Prec@1 37.109 (38.344)	Prec@5 67.578 (68.139)
Epoch: [76][6580/7045]	Time 0.300 (0.246)	Data 0.241 (0.179)	Loss 2.4090 (2.5487)	Prec@1 39.844 (38.343)	Prec@5 69.922 (68.139)
Epoch: [76][6590/7045]	Time 0.265 (0.246)	Data 0.214 (0.179)	Loss 2.6438 (2.5487)	Prec@1 39.062 (38.345)	Prec@5 67.969 (68.139)
Epoch: [76][6600/7045]	Time 0.109 (0.246)	Data 0.001 (0.179)	Loss 2.7377 (2.5487)	Prec@1 36.719 (38.346)	Prec@5 65.625 (68.140)
Epoch: [76][6610/7045]	Time 0.404 (0.246)	Data 0.353 (0.179)	Loss 2.5814 (2.5487)	Prec@1 37.891 (38.346)	Prec@5 68.359 (68.139)
Epoch: [76][6620/7045]	Time 0.197 (0.246)	Data 0.145 (0.179)	Loss 2.4032 (2.5486)	Prec@1 42.578 (38.348)	Prec@5 71.875 (68.142)
Epoch: [76][6630/7045]	Time 0.368 (0.246)	Data 0.316 (0.179)	Loss 2.6590 (2.5485)	Prec@1 35.547 (38.349)	Prec@5 67.188 (68.144)
Epoch: [76][6640/7045]	Time 0.196 (0.246)	Data 0.145 (0.179)	Loss 2.5452 (2.5486)	Prec@1 35.938 (38.347)	Prec@5 69.922 (68.145)
Epoch: [76][6650/7045]	Time 0.411 (0.246)	Data 0.359 (0.179)	Loss 2.5950 (2.5486)	Prec@1 34.766 (38.347)	Prec@5 67.969 (68.144)
Epoch: [76][6660/7045]	Time 0.141 (0.246)	Data 0.090 (0.179)	Loss 2.4911 (2.5486)	Prec@1 39.844 (38.347)	Prec@5 68.750 (68.144)
Epoch: [76][6670/7045]	Time 0.247 (0.246)	Data 0.196 (0.179)	Loss 2.6249 (2.5486)	Prec@1 38.672 (38.346)	Prec@5 67.188 (68.144)
Epoch: [76][6680/7045]	Time 0.102 (0.246)	Data 0.007 (0.179)	Loss 2.5797 (2.5486)	Prec@1 37.109 (38.345)	Prec@5 66.016 (68.145)
Epoch: [76][6690/7045]	Time 0.406 (0.246)	Data 0.355 (0.179)	Loss 2.4020 (2.5486)	Prec@1 37.500 (38.345)	Prec@5 68.750 (68.143)
Epoch: [76][6700/7045]	Time 0.443 (0.246)	Data 0.392 (0.179)	Loss 2.2168 (2.5484)	Prec@1 44.922 (38.350)	Prec@5 73.047 (68.148)
Epoch: [76][6710/7045]	Time 0.108 (0.246)	Data 0.056 (0.179)	Loss 2.4969 (2.5484)	Prec@1 39.844 (38.349)	Prec@5 67.578 (68.148)
Epoch: [76][6720/7045]	Time 0.870 (0.246)	Data 0.819 (0.179)	Loss 2.5014 (2.5484)	Prec@1 38.281 (38.347)	Prec@5 67.188 (68.147)
Epoch: [76][6730/7045]	Time 0.111 (0.246)	Data 0.001 (0.179)	Loss 2.9002 (2.5484)	Prec@1 31.641 (38.345)	Prec@5 62.891 (68.147)
Epoch: [76][6740/7045]	Time 0.522 (0.246)	Data 0.471 (0.179)	Loss 2.5202 (2.5485)	Prec@1 39.453 (38.343)	Prec@5 71.094 (68.146)
Epoch: [76][6750/7045]	Time 0.103 (0.246)	Data 0.013 (0.179)	Loss 2.5070 (2.5486)	Prec@1 38.281 (38.341)	Prec@5 68.359 (68.144)
Epoch: [76][6760/7045]	Time 0.129 (0.246)	Data 0.076 (0.179)	Loss 2.5301 (2.5486)	Prec@1 39.062 (38.341)	Prec@5 64.844 (68.144)
Epoch: [76][6770/7045]	Time 0.391 (0.246)	Data 0.340 (0.179)	Loss 2.6022 (2.5487)	Prec@1 39.844 (38.341)	Prec@5 64.453 (68.142)
Epoch: [76][6780/7045]	Time 0.211 (0.246)	Data 0.160 (0.179)	Loss 2.6047 (2.5486)	Prec@1 38.281 (38.343)	Prec@5 66.406 (68.144)
Epoch: [76][6790/7045]	Time 0.896 (0.246)	Data 0.844 (0.179)	Loss 2.7222 (2.5486)	Prec@1 33.984 (38.342)	Prec@5 62.891 (68.142)
Epoch: [76][6800/7045]	Time 0.101 (0.246)	Data 0.006 (0.179)	Loss 2.2470 (2.5486)	Prec@1 44.531 (38.341)	Prec@5 74.219 (68.142)
Epoch: [76][6810/7045]	Time 0.108 (0.246)	Data 0.001 (0.179)	Loss 2.4675 (2.5486)	Prec@1 38.281 (38.339)	Prec@5 66.406 (68.140)
Epoch: [76][6820/7045]	Time 0.104 (0.246)	Data 0.001 (0.179)	Loss 2.5475 (2.5487)	Prec@1 33.594 (38.338)	Prec@5 72.266 (68.139)
Epoch: [76][6830/7045]	Time 0.228 (0.246)	Data 0.176 (0.179)	Loss 2.8595 (2.5487)	Prec@1 32.031 (38.336)	Prec@5 63.281 (68.139)
Epoch: [76][6840/7045]	Time 0.513 (0.246)	Data 0.462 (0.179)	Loss 2.5152 (2.5487)	Prec@1 39.453 (38.338)	Prec@5 69.531 (68.139)
Epoch: [76][6850/7045]	Time 0.109 (0.246)	Data 0.002 (0.179)	Loss 2.5420 (2.5487)	Prec@1 35.938 (38.337)	Prec@5 68.750 (68.140)
Epoch: [76][6860/7045]	Time 0.108 (0.246)	Data 0.001 (0.179)	Loss 2.4815 (2.5487)	Prec@1 35.156 (38.337)	Prec@5 67.969 (68.139)
Epoch: [76][6870/7045]	Time 0.102 (0.246)	Data 0.001 (0.179)	Loss 2.6803 (2.5486)	Prec@1 40.234 (38.338)	Prec@5 65.625 (68.140)
Epoch: [76][6880/7045]	Time 0.348 (0.246)	Data 0.296 (0.179)	Loss 2.6356 (2.5487)	Prec@1 35.547 (38.337)	Prec@5 66.406 (68.137)
Epoch: [76][6890/7045]	Time 0.325 (0.246)	Data 0.273 (0.179)	Loss 2.2822 (2.5487)	Prec@1 42.969 (38.338)	Prec@5 74.219 (68.138)
Epoch: [76][6900/7045]	Time 0.102 (0.246)	Data 0.021 (0.179)	Loss 2.7150 (2.5487)	Prec@1 38.672 (38.338)	Prec@5 67.188 (68.139)
Epoch: [76][6910/7045]	Time 0.272 (0.246)	Data 0.220 (0.179)	Loss 2.6244 (2.5487)	Prec@1 41.797 (38.339)	Prec@5 69.531 (68.140)
Epoch: [76][6920/7045]	Time 0.102 (0.246)	Data 0.001 (0.179)	Loss 2.6463 (2.5486)	Prec@1 39.062 (38.340)	Prec@5 66.016 (68.140)
Epoch: [76][6930/7045]	Time 0.368 (0.246)	Data 0.316 (0.179)	Loss 2.5895 (2.5487)	Prec@1 38.672 (38.337)	Prec@5 67.969 (68.140)
Epoch: [76][6940/7045]	Time 0.146 (0.246)	Data 0.094 (0.179)	Loss 2.4340 (2.5487)	Prec@1 38.672 (38.337)	Prec@5 70.312 (68.139)
Epoch: [76][6950/7045]	Time 0.236 (0.246)	Data 0.184 (0.179)	Loss 2.7170 (2.5488)	Prec@1 32.812 (38.337)	Prec@5 66.016 (68.138)
Epoch: [76][6960/7045]	Time 0.102 (0.246)	Data 0.001 (0.179)	Loss 2.5421 (2.5488)	Prec@1 37.891 (38.336)	Prec@5 67.578 (68.139)
Epoch: [76][6970/7045]	Time 0.111 (0.246)	Data 0.059 (0.179)	Loss 2.4114 (2.5488)	Prec@1 41.016 (38.337)	Prec@5 70.312 (68.140)
Epoch: [76][6980/7045]	Time 0.134 (0.246)	Data 0.081 (0.179)	Loss 2.3756 (2.5488)	Prec@1 41.797 (38.336)	Prec@5 72.266 (68.140)
Epoch: [76][6990/7045]	Time 0.547 (0.246)	Data 0.495 (0.179)	Loss 2.6946 (2.5487)	Prec@1 33.984 (38.336)	Prec@5 61.328 (68.141)
Epoch: [76][7000/7045]	Time 0.102 (0.246)	Data 0.001 (0.179)	Loss 2.6300 (2.5488)	Prec@1 34.766 (38.335)	Prec@5 66.797 (68.140)
Epoch: [76][7010/7045]	Time 0.107 (0.246)	Data 0.055 (0.179)	Loss 2.7723 (2.5488)	Prec@1 34.766 (38.334)	Prec@5 64.453 (68.139)
Epoch: [76][7020/7045]	Time 0.465 (0.246)	Data 0.414 (0.179)	Loss 2.4070 (2.5488)	Prec@1 37.109 (38.334)	Prec@5 71.484 (68.140)
Epoch: [76][7030/7045]	Time 0.161 (0.246)	Data 0.110 (0.179)	Loss 2.7508 (2.5489)	Prec@1 34.375 (38.332)	Prec@5 65.625 (68.140)
Epoch: [76][7040/7045]	Time 0.367 (0.246)	Data 0.316 (0.179)	Loss 2.2923 (2.5489)	Prec@1 39.062 (38.331)	Prec@5 71.875 (68.139)
Test: [0/143]	Time 1.210 (1.210)	Loss 2.1868 (2.1868)	Prec@1 48.047 (48.047)	Prec@5 75.391 (75.391)
Test: [10/143]	Time 0.062 (0.250)	Loss 1.6654 (1.9894)	Prec@1 63.672 (50.923)	Prec@5 83.984 (79.581)
Test: [20/143]	Time 0.274 (0.222)	Loss 2.0891 (1.9644)	Prec@1 46.484 (49.554)	Prec@5 79.297 (80.190)
Test: [30/143]	Time 0.116 (0.203)	Loss 2.1303 (1.9913)	Prec@1 50.391 (49.269)	Prec@5 71.875 (79.032)
Test: [40/143]	Time 0.049 (0.201)	Loss 2.7902 (2.0399)	Prec@1 22.656 (48.037)	Prec@5 66.797 (77.982)
Test: [50/143]	Time 0.058 (0.191)	Loss 1.9728 (2.0954)	Prec@1 41.016 (46.170)	Prec@5 82.422 (77.451)
Test: [60/143]	Time 0.100 (0.190)	Loss 2.3791 (2.0860)	Prec@1 37.109 (46.408)	Prec@5 73.828 (77.658)
Test: [70/143]	Time 0.291 (0.189)	Loss 2.8727 (2.0750)	Prec@1 28.516 (46.732)	Prec@5 64.062 (77.894)
Test: [80/143]	Time 0.055 (0.184)	Loss 2.0517 (2.0678)	Prec@1 46.875 (46.851)	Prec@5 80.859 (78.178)
Test: [90/143]	Time 0.388 (0.185)	Loss 1.6991 (2.0623)	Prec@1 57.422 (46.909)	Prec@5 87.109 (78.322)
Test: [100/143]	Time 0.138 (0.182)	Loss 1.9028 (2.0615)	Prec@1 53.516 (46.898)	Prec@5 82.812 (78.392)
Test: [110/143]	Time 0.296 (0.182)	Loss 1.8292 (2.0571)	Prec@1 53.906 (47.209)	Prec@5 81.250 (78.445)
Test: [120/143]	Time 0.212 (0.181)	Loss 1.7678 (2.0491)	Prec@1 56.641 (47.550)	Prec@5 84.375 (78.525)
Test: [130/143]	Time 0.184 (0.179)	Loss 1.6016 (2.0558)	Prec@1 63.281 (47.525)	Prec@5 82.422 (78.319)
Test: [140/143]	Time 0.287 (0.179)	Loss 3.0620 (2.0792)	Prec@1 25.781 (46.955)	Prec@5 64.062 (77.903)
 * Prec@1 46.981 Prec@5 77.926
Epoch: [77][0/7045]	Time 2.445 (2.445)	Data 2.390 (2.390)	Loss 2.4678 (2.4678)	Prec@1 40.625 (40.625)	Prec@5 68.359 (68.359)
Epoch: [77][10/7045]	Time 0.113 (0.416)	Data 0.062 (0.342)	Loss 2.4688 (2.5621)	Prec@1 38.281 (37.678)	Prec@5 71.094 (68.537)
Epoch: [77][20/7045]	Time 0.532 (0.348)	Data 0.480 (0.281)	Loss 2.3820 (2.5598)	Prec@1 45.312 (37.853)	Prec@5 70.703 (67.690)
Epoch: [77][30/7045]	Time 0.108 (0.305)	Data 0.056 (0.238)	Loss 2.3101 (2.5432)	Prec@1 42.188 (38.495)	Prec@5 74.219 (68.196)
Epoch: [77][40/7045]	Time 0.218 (0.296)	Data 0.167 (0.229)	Loss 2.7217 (2.5565)	Prec@1 37.109 (37.986)	Prec@5 67.578 (67.816)
Epoch: [77][50/7045]	Time 0.107 (0.280)	Data 0.055 (0.214)	Loss 2.6272 (2.5595)	Prec@1 37.500 (37.837)	Prec@5 67.188 (67.938)
Epoch: [77][60/7045]	Time 0.102 (0.280)	Data 0.001 (0.215)	Loss 2.5243 (2.5570)	Prec@1 38.281 (37.852)	Prec@5 68.750 (68.020)
Epoch: [77][70/7045]	Time 0.102 (0.271)	Data 0.001 (0.205)	Loss 2.5741 (2.5485)	Prec@1 38.281 (38.061)	Prec@5 64.844 (68.211)
Epoch: [77][80/7045]	Time 0.227 (0.270)	Data 0.177 (0.203)	Loss 2.6288 (2.5435)	Prec@1 36.328 (38.146)	Prec@5 70.703 (68.302)
Epoch: [77][90/7045]	Time 0.131 (0.264)	Data 0.080 (0.197)	Loss 2.5595 (2.5432)	Prec@1 39.453 (38.148)	Prec@5 67.188 (68.359)
Epoch: [77][100/7045]	Time 0.266 (0.264)	Data 0.215 (0.198)	Loss 2.6674 (2.5479)	Prec@1 38.672 (38.130)	Prec@5 64.062 (68.243)
Epoch: [77][110/7045]	Time 0.387 (0.262)	Data 0.335 (0.196)	Loss 2.5815 (2.5445)	Prec@1 32.812 (38.200)	Prec@5 69.141 (68.289)
Epoch: [77][120/7045]	Time 0.274 (0.260)	Data 0.223 (0.195)	Loss 2.5475 (2.5419)	Prec@1 39.453 (38.233)	Prec@5 68.750 (68.411)
Epoch: [77][130/7045]	Time 0.545 (0.260)	Data 0.486 (0.194)	Loss 2.6799 (2.5390)	Prec@1 34.766 (38.308)	Prec@5 65.234 (68.404)
Epoch: [77][140/7045]	Time 0.101 (0.258)	Data 0.006 (0.191)	Loss 2.4363 (2.5383)	Prec@1 39.453 (38.295)	Prec@5 69.531 (68.423)
Epoch: [77][150/7045]	Time 0.344 (0.257)	Data 0.292 (0.190)	Loss 2.4836 (2.5382)	Prec@1 35.547 (38.232)	Prec@5 71.484 (68.411)
Epoch: [77][160/7045]	Time 0.102 (0.256)	Data 0.004 (0.189)	Loss 2.4864 (2.5372)	Prec@1 43.750 (38.308)	Prec@5 70.703 (68.408)
Epoch: [77][170/7045]	Time 0.299 (0.254)	Data 0.247 (0.187)	Loss 2.4169 (2.5366)	Prec@1 37.500 (38.304)	Prec@5 73.047 (68.400)
Epoch: [77][180/7045]	Time 0.102 (0.254)	Data 0.001 (0.187)	Loss 2.5473 (2.5369)	Prec@1 37.891 (38.318)	Prec@5 71.094 (68.390)
Epoch: [77][190/7045]	Time 0.260 (0.253)	Data 0.208 (0.185)	Loss 2.3195 (2.5375)	Prec@1 42.188 (38.345)	Prec@5 73.828 (68.376)
Epoch: [77][200/7045]	Time 0.119 (0.252)	Data 0.054 (0.185)	Loss 2.4690 (2.5373)	Prec@1 40.625 (38.367)	Prec@5 70.703 (68.379)
Epoch: [77][210/7045]	Time 0.260 (0.251)	Data 0.207 (0.184)	Loss 2.6055 (2.5350)	Prec@1 38.281 (38.411)	Prec@5 64.844 (68.402)
Epoch: [77][220/7045]	Time 0.102 (0.251)	Data 0.008 (0.184)	Loss 2.3977 (2.5350)	Prec@1 40.625 (38.366)	Prec@5 69.922 (68.359)
Epoch: [77][230/7045]	Time 0.187 (0.250)	Data 0.135 (0.183)	Loss 2.6220 (2.5357)	Prec@1 36.328 (38.344)	Prec@5 63.672 (68.342)
Epoch: [77][240/7045]	Time 0.102 (0.250)	Data 0.007 (0.184)	Loss 2.6475 (2.5375)	Prec@1 32.031 (38.307)	Prec@5 67.578 (68.335)
Epoch: [77][250/7045]	Time 0.106 (0.249)	Data 0.053 (0.183)	Loss 2.7427 (2.5348)	Prec@1 35.547 (38.401)	Prec@5 62.891 (68.364)
Epoch: [77][260/7045]	Time 0.102 (0.249)	Data 0.005 (0.183)	Loss 2.6761 (2.5343)	Prec@1 37.109 (38.449)	Prec@5 65.234 (68.389)
Epoch: [77][270/7045]	Time 0.103 (0.248)	Data 0.004 (0.182)	Loss 2.4951 (2.5335)	Prec@1 40.234 (38.533)	Prec@5 70.312 (68.417)
Epoch: [77][280/7045]	Time 0.103 (0.249)	Data 0.004 (0.182)	Loss 2.6611 (2.5329)	Prec@1 35.938 (38.562)	Prec@5 66.406 (68.402)
Epoch: [77][290/7045]	Time 0.102 (0.247)	Data 0.004 (0.180)	Loss 2.7696 (2.5324)	Prec@1 36.719 (38.590)	Prec@5 63.672 (68.410)
Epoch: [77][300/7045]	Time 0.109 (0.248)	Data 0.003 (0.181)	Loss 2.6276 (2.5333)	Prec@1 38.281 (38.580)	Prec@5 63.281 (68.420)
Epoch: [77][310/7045]	Time 0.102 (0.247)	Data 0.007 (0.180)	Loss 2.3427 (2.5330)	Prec@1 39.844 (38.574)	Prec@5 72.656 (68.435)
Epoch: [77][320/7045]	Time 0.102 (0.247)	Data 0.007 (0.180)	Loss 2.7281 (2.5342)	Prec@1 35.547 (38.539)	Prec@5 65.625 (68.428)
Epoch: [77][330/7045]	Time 0.102 (0.246)	Data 0.003 (0.179)	Loss 2.5062 (2.5353)	Prec@1 40.234 (38.505)	Prec@5 68.750 (68.381)
Epoch: [77][340/7045]	Time 0.102 (0.247)	Data 0.009 (0.179)	Loss 2.6537 (2.5367)	Prec@1 35.547 (38.502)	Prec@5 69.922 (68.359)
Epoch: [77][350/7045]	Time 0.102 (0.246)	Data 0.001 (0.178)	Loss 2.6306 (2.5382)	Prec@1 35.156 (38.483)	Prec@5 65.234 (68.325)
Epoch: [77][360/7045]	Time 0.101 (0.246)	Data 0.007 (0.178)	Loss 2.6912 (2.5390)	Prec@1 35.156 (38.487)	Prec@5 67.969 (68.309)
Epoch: [77][370/7045]	Time 0.102 (0.246)	Data 0.001 (0.178)	Loss 2.6622 (2.5391)	Prec@1 35.547 (38.499)	Prec@5 68.359 (68.308)
Epoch: [77][380/7045]	Time 0.113 (0.246)	Data 0.060 (0.178)	Loss 2.7248 (2.5398)	Prec@1 35.547 (38.477)	Prec@5 63.281 (68.295)
Epoch: [77][390/7045]	Time 0.103 (0.246)	Data 0.004 (0.177)	Loss 2.4564 (2.5405)	Prec@1 37.500 (38.441)	Prec@5 70.703 (68.296)
Epoch: [77][400/7045]	Time 0.102 (0.246)	Data 0.007 (0.178)	Loss 2.6392 (2.5404)	Prec@1 37.891 (38.459)	Prec@5 63.672 (68.299)
Epoch: [77][410/7045]	Time 0.134 (0.245)	Data 0.082 (0.177)	Loss 2.6691 (2.5399)	Prec@1 37.500 (38.481)	Prec@5 67.188 (68.283)
Epoch: [77][420/7045]	Time 0.117 (0.246)	Data 0.056 (0.178)	Loss 2.5635 (2.5384)	Prec@1 39.062 (38.521)	Prec@5 66.797 (68.322)
Epoch: [77][430/7045]	Time 0.182 (0.245)	Data 0.131 (0.177)	Loss 2.4958 (2.5402)	Prec@1 43.750 (38.504)	Prec@5 67.188 (68.278)
Epoch: [77][440/7045]	Time 0.102 (0.245)	Data 0.002 (0.178)	Loss 2.7171 (2.5402)	Prec@1 37.109 (38.516)	Prec@5 64.453 (68.277)
Epoch: [77][450/7045]	Time 0.200 (0.245)	Data 0.148 (0.177)	Loss 2.4456 (2.5401)	Prec@1 39.062 (38.517)	Prec@5 70.312 (68.276)
Epoch: [77][460/7045]	Time 0.102 (0.245)	Data 0.005 (0.178)	Loss 2.5765 (2.5404)	Prec@1 38.281 (38.500)	Prec@5 69.531 (68.252)
Epoch: [77][470/7045]	Time 0.264 (0.245)	Data 0.213 (0.177)	Loss 2.4870 (2.5405)	Prec@1 39.844 (38.488)	Prec@5 69.922 (68.252)
Epoch: [77][480/7045]	Time 0.108 (0.245)	Data 0.001 (0.178)	Loss 2.6118 (2.5398)	Prec@1 37.109 (38.486)	Prec@5 67.578 (68.272)
Epoch: [77][490/7045]	Time 0.296 (0.244)	Data 0.245 (0.177)	Loss 2.6979 (2.5388)	Prec@1 34.766 (38.502)	Prec@5 64.844 (68.285)
Epoch: [77][500/7045]	Time 0.103 (0.244)	Data 0.006 (0.177)	Loss 2.2667 (2.5380)	Prec@1 48.438 (38.523)	Prec@5 72.656 (68.309)
Epoch: [77][510/7045]	Time 0.357 (0.244)	Data 0.305 (0.177)	Loss 2.5261 (2.5376)	Prec@1 41.797 (38.525)	Prec@5 68.750 (68.323)
Epoch: [77][520/7045]	Time 0.103 (0.244)	Data 0.001 (0.177)	Loss 2.7554 (2.5394)	Prec@1 34.375 (38.487)	Prec@5 63.672 (68.277)
Epoch: [77][530/7045]	Time 0.380 (0.244)	Data 0.328 (0.177)	Loss 2.6831 (2.5404)	Prec@1 33.984 (38.451)	Prec@5 67.578 (68.255)
Epoch: [77][540/7045]	Time 0.108 (0.244)	Data 0.002 (0.177)	Loss 2.6649 (2.5406)	Prec@1 35.547 (38.436)	Prec@5 64.453 (68.260)
Epoch: [77][550/7045]	Time 0.325 (0.244)	Data 0.272 (0.177)	Loss 2.5661 (2.5411)	Prec@1 37.109 (38.419)	Prec@5 67.969 (68.251)
Epoch: [77][560/7045]	Time 0.108 (0.244)	Data 0.008 (0.177)	Loss 2.4958 (2.5401)	Prec@1 41.016 (38.428)	Prec@5 66.797 (68.277)
Epoch: [77][570/7045]	Time 0.495 (0.244)	Data 0.442 (0.177)	Loss 2.3435 (2.5412)	Prec@1 42.969 (38.419)	Prec@5 72.656 (68.261)
Epoch: [77][580/7045]	Time 0.102 (0.244)	Data 0.001 (0.177)	Loss 2.4986 (2.5412)	Prec@1 39.453 (38.433)	Prec@5 70.312 (68.258)
Epoch: [77][590/7045]	Time 0.462 (0.244)	Data 0.409 (0.177)	Loss 2.4794 (2.5415)	Prec@1 42.578 (38.437)	Prec@5 69.141 (68.258)
Epoch: [77][600/7045]	Time 0.191 (0.244)	Data 0.139 (0.177)	Loss 2.8359 (2.5418)	Prec@1 30.859 (38.415)	Prec@5 61.328 (68.253)
Epoch: [77][610/7045]	Time 0.463 (0.244)	Data 0.412 (0.177)	Loss 2.7235 (2.5414)	Prec@1 32.812 (38.421)	Prec@5 62.891 (68.244)
Epoch: [77][620/7045]	Time 0.103 (0.243)	Data 0.051 (0.177)	Loss 2.5653 (2.5410)	Prec@1 37.109 (38.430)	Prec@5 68.359 (68.257)
Epoch: [77][630/7045]	Time 0.547 (0.244)	Data 0.495 (0.177)	Loss 2.5801 (2.5409)	Prec@1 39.062 (38.425)	Prec@5 72.266 (68.261)
Epoch: [77][640/7045]	Time 0.113 (0.243)	Data 0.060 (0.177)	Loss 2.3896 (2.5397)	Prec@1 41.016 (38.448)	Prec@5 73.438 (68.278)
Epoch: [77][650/7045]	Time 0.593 (0.244)	Data 0.540 (0.177)	Loss 2.7154 (2.5402)	Prec@1 36.719 (38.438)	Prec@5 63.672 (68.275)
Epoch: [77][660/7045]	Time 0.159 (0.243)	Data 0.107 (0.177)	Loss 2.6865 (2.5401)	Prec@1 37.109 (38.451)	Prec@5 67.969 (68.270)
Epoch: [77][670/7045]	Time 0.626 (0.244)	Data 0.574 (0.177)	Loss 2.5007 (2.5397)	Prec@1 41.016 (38.447)	Prec@5 69.141 (68.265)
Epoch: [77][680/7045]	Time 0.102 (0.243)	Data 0.007 (0.176)	Loss 2.4622 (2.5394)	Prec@1 39.844 (38.450)	Prec@5 70.703 (68.255)
Epoch: [77][690/7045]	Time 0.663 (0.243)	Data 0.604 (0.176)	Loss 2.6496 (2.5403)	Prec@1 40.234 (38.447)	Prec@5 64.062 (68.232)
Epoch: [77][700/7045]	Time 0.102 (0.243)	Data 0.001 (0.176)	Loss 2.8198 (2.5412)	Prec@1 33.984 (38.418)	Prec@5 61.719 (68.209)
Epoch: [77][710/7045]	Time 0.637 (0.243)	Data 0.586 (0.176)	Loss 2.4844 (2.5413)	Prec@1 39.844 (38.414)	Prec@5 70.703 (68.202)
Epoch: [77][720/7045]	Time 0.103 (0.243)	Data 0.001 (0.175)	Loss 2.2521 (2.5411)	Prec@1 42.578 (38.431)	Prec@5 74.219 (68.214)
Epoch: [77][730/7045]	Time 0.615 (0.243)	Data 0.564 (0.175)	Loss 2.6590 (2.5419)	Prec@1 39.453 (38.421)	Prec@5 64.844 (68.200)
Epoch: [77][740/7045]	Time 0.108 (0.243)	Data 0.001 (0.175)	Loss 2.7187 (2.5420)	Prec@1 37.500 (38.427)	Prec@5 62.500 (68.204)
Epoch: [77][750/7045]	Time 0.567 (0.243)	Data 0.515 (0.175)	Loss 2.3808 (2.5415)	Prec@1 42.578 (38.433)	Prec@5 70.312 (68.205)
Epoch: [77][760/7045]	Time 0.102 (0.243)	Data 0.001 (0.174)	Loss 2.5590 (2.5403)	Prec@1 36.328 (38.471)	Prec@5 68.750 (68.225)
Epoch: [77][770/7045]	Time 0.551 (0.243)	Data 0.499 (0.175)	Loss 2.2352 (2.5394)	Prec@1 40.234 (38.483)	Prec@5 73.047 (68.240)
Epoch: [77][780/7045]	Time 0.113 (0.243)	Data 0.060 (0.174)	Loss 2.7049 (2.5391)	Prec@1 37.109 (38.492)	Prec@5 64.453 (68.237)
Epoch: [77][790/7045]	Time 0.431 (0.243)	Data 0.372 (0.175)	Loss 2.4418 (2.5384)	Prec@1 35.938 (38.499)	Prec@5 73.047 (68.256)
Epoch: [77][800/7045]	Time 0.112 (0.242)	Data 0.060 (0.174)	Loss 2.3532 (2.5382)	Prec@1 39.453 (38.493)	Prec@5 71.094 (68.272)
Epoch: [77][810/7045]	Time 0.405 (0.243)	Data 0.347 (0.175)	Loss 2.5626 (2.5381)	Prec@1 37.891 (38.501)	Prec@5 63.281 (68.266)
Epoch: [77][820/7045]	Time 0.159 (0.242)	Data 0.107 (0.175)	Loss 2.2504 (2.5373)	Prec@1 48.438 (38.525)	Prec@5 73.438 (68.282)
Epoch: [77][830/7045]	Time 0.402 (0.243)	Data 0.343 (0.175)	Loss 2.5121 (2.5381)	Prec@1 34.766 (38.498)	Prec@5 69.141 (68.281)
Epoch: [77][840/7045]	Time 0.165 (0.242)	Data 0.113 (0.175)	Loss 2.4790 (2.5381)	Prec@1 40.234 (38.502)	Prec@5 69.922 (68.290)
Epoch: [77][850/7045]	Time 0.309 (0.242)	Data 0.256 (0.175)	Loss 2.6311 (2.5380)	Prec@1 32.031 (38.496)	Prec@5 69.922 (68.307)
Epoch: [77][860/7045]	Time 0.156 (0.242)	Data 0.105 (0.175)	Loss 2.5368 (2.5381)	Prec@1 36.328 (38.479)	Prec@5 65.625 (68.298)
Epoch: [77][870/7045]	Time 0.153 (0.242)	Data 0.101 (0.175)	Loss 2.4969 (2.5375)	Prec@1 40.234 (38.490)	Prec@5 69.922 (68.318)
Epoch: [77][880/7045]	Time 0.122 (0.242)	Data 0.070 (0.175)	Loss 2.3858 (2.5370)	Prec@1 43.359 (38.493)	Prec@5 72.266 (68.321)
Epoch: [77][890/7045]	Time 0.126 (0.242)	Data 0.074 (0.176)	Loss 2.4630 (2.5371)	Prec@1 42.969 (38.491)	Prec@5 67.188 (68.319)
Epoch: [77][900/7045]	Time 0.160 (0.242)	Data 0.107 (0.176)	Loss 2.7076 (2.5372)	Prec@1 36.719 (38.495)	Prec@5 64.062 (68.317)
Epoch: [77][910/7045]	Time 0.102 (0.242)	Data 0.006 (0.176)	Loss 2.6367 (2.5371)	Prec@1 36.719 (38.498)	Prec@5 65.625 (68.317)
Epoch: [77][920/7045]	Time 0.196 (0.242)	Data 0.145 (0.176)	Loss 2.5149 (2.5375)	Prec@1 41.406 (38.491)	Prec@5 67.188 (68.303)
Epoch: [77][930/7045]	Time 0.102 (0.242)	Data 0.009 (0.176)	Loss 2.6953 (2.5378)	Prec@1 40.625 (38.481)	Prec@5 66.016 (68.289)
Epoch: [77][940/7045]	Time 0.196 (0.242)	Data 0.143 (0.176)	Loss 2.5155 (2.5379)	Prec@1 39.844 (38.475)	Prec@5 69.141 (68.285)
Epoch: [77][950/7045]	Time 0.109 (0.242)	Data 0.055 (0.176)	Loss 2.3473 (2.5379)	Prec@1 41.797 (38.478)	Prec@5 70.312 (68.283)
Epoch: [77][960/7045]	Time 0.164 (0.242)	Data 0.111 (0.176)	Loss 2.6209 (2.5374)	Prec@1 38.281 (38.476)	Prec@5 64.844 (68.292)
Epoch: [77][970/7045]	Time 0.101 (0.242)	Data 0.047 (0.176)	Loss 2.4192 (2.5367)	Prec@1 43.750 (38.488)	Prec@5 71.875 (68.295)
Epoch: [77][980/7045]	Time 0.172 (0.242)	Data 0.120 (0.176)	Loss 2.2829 (2.5365)	Prec@1 42.188 (38.492)	Prec@5 72.266 (68.294)
Epoch: [77][990/7045]	Time 0.199 (0.242)	Data 0.140 (0.176)	Loss 2.3180 (2.5370)	Prec@1 42.578 (38.470)	Prec@5 72.656 (68.283)
Epoch: [77][1000/7045]	Time 0.147 (0.242)	Data 0.094 (0.176)	Loss 2.4770 (2.5379)	Prec@1 41.406 (38.456)	Prec@5 69.531 (68.260)
Epoch: [77][1010/7045]	Time 0.256 (0.242)	Data 0.198 (0.176)	Loss 2.3229 (2.5373)	Prec@1 44.141 (38.466)	Prec@5 69.531 (68.257)
Epoch: [77][1020/7045]	Time 0.123 (0.242)	Data 0.070 (0.176)	Loss 2.4757 (2.5374)	Prec@1 41.406 (38.462)	Prec@5 69.531 (68.268)
Epoch: [77][1030/7045]	Time 0.306 (0.242)	Data 0.248 (0.177)	Loss 2.3716 (2.5371)	Prec@1 41.797 (38.454)	Prec@5 73.438 (68.277)
Epoch: [77][1040/7045]	Time 0.249 (0.242)	Data 0.196 (0.177)	Loss 2.6367 (2.5374)	Prec@1 38.281 (38.452)	Prec@5 62.891 (68.267)
Epoch: [77][1050/7045]	Time 0.383 (0.242)	Data 0.331 (0.177)	Loss 2.5080 (2.5379)	Prec@1 41.016 (38.438)	Prec@5 66.797 (68.249)
Epoch: [77][1060/7045]	Time 0.145 (0.242)	Data 0.092 (0.177)	Loss 2.7047 (2.5381)	Prec@1 37.500 (38.438)	Prec@5 64.844 (68.256)
Epoch: [77][1070/7045]	Time 0.421 (0.242)	Data 0.371 (0.177)	Loss 2.6724 (2.5382)	Prec@1 37.109 (38.442)	Prec@5 66.797 (68.255)
Epoch: [77][1080/7045]	Time 0.281 (0.241)	Data 0.228 (0.177)	Loss 2.4338 (2.5381)	Prec@1 42.578 (38.449)	Prec@5 71.484 (68.251)
Epoch: [77][1090/7045]	Time 0.427 (0.242)	Data 0.368 (0.177)	Loss 2.3374 (2.5380)	Prec@1 41.797 (38.453)	Prec@5 71.094 (68.252)
Epoch: [77][1100/7045]	Time 0.279 (0.241)	Data 0.220 (0.177)	Loss 2.5076 (2.5382)	Prec@1 37.891 (38.458)	Prec@5 67.188 (68.248)
Epoch: [77][1110/7045]	Time 0.460 (0.242)	Data 0.409 (0.177)	Loss 2.6108 (2.5386)	Prec@1 40.234 (38.460)	Prec@5 65.234 (68.250)
Epoch: [77][1120/7045]	Time 0.236 (0.241)	Data 0.177 (0.177)	Loss 2.7315 (2.5388)	Prec@1 39.062 (38.458)	Prec@5 62.891 (68.243)
Epoch: [77][1130/7045]	Time 0.465 (0.241)	Data 0.413 (0.177)	Loss 2.4835 (2.5388)	Prec@1 36.719 (38.453)	Prec@5 71.875 (68.244)
Epoch: [77][1140/7045]	Time 0.196 (0.241)	Data 0.144 (0.177)	Loss 2.7090 (2.5389)	Prec@1 31.641 (38.447)	Prec@5 66.016 (68.240)
Epoch: [77][1150/7045]	Time 0.533 (0.241)	Data 0.481 (0.177)	Loss 2.7221 (2.5392)	Prec@1 31.250 (38.438)	Prec@5 66.016 (68.232)
Epoch: [77][1160/7045]	Time 0.102 (0.241)	Data 0.002 (0.177)	Loss 2.4342 (2.5388)	Prec@1 41.016 (38.448)	Prec@5 69.531 (68.244)
Epoch: [77][1170/7045]	Time 0.516 (0.241)	Data 0.463 (0.177)	Loss 2.4353 (2.5387)	Prec@1 43.750 (38.447)	Prec@5 69.531 (68.248)
Epoch: [77][1180/7045]	Time 0.102 (0.241)	Data 0.002 (0.177)	Loss 2.6073 (2.5388)	Prec@1 37.500 (38.446)	Prec@5 66.797 (68.246)
Epoch: [77][1190/7045]	Time 0.411 (0.241)	Data 0.359 (0.177)	Loss 2.4938 (2.5389)	Prec@1 42.578 (38.452)	Prec@5 66.406 (68.248)
Epoch: [77][1200/7045]	Time 0.102 (0.241)	Data 0.001 (0.176)	Loss 2.4654 (2.5388)	Prec@1 38.672 (38.454)	Prec@5 69.922 (68.252)
Epoch: [77][1210/7045]	Time 0.494 (0.241)	Data 0.441 (0.176)	Loss 2.4926 (2.5389)	Prec@1 39.062 (38.451)	Prec@5 69.531 (68.255)
Epoch: [77][1220/7045]	Time 0.108 (0.241)	Data 0.008 (0.176)	Loss 2.4806 (2.5388)	Prec@1 39.062 (38.450)	Prec@5 68.359 (68.254)
Epoch: [77][1230/7045]	Time 0.510 (0.241)	Data 0.457 (0.176)	Loss 2.3565 (2.5386)	Prec@1 43.359 (38.462)	Prec@5 69.922 (68.254)
Epoch: [77][1240/7045]	Time 0.108 (0.241)	Data 0.006 (0.176)	Loss 2.6455 (2.5387)	Prec@1 35.547 (38.460)	Prec@5 68.359 (68.255)
Epoch: [77][1250/7045]	Time 0.507 (0.241)	Data 0.456 (0.176)	Loss 2.5295 (2.5392)	Prec@1 35.938 (38.449)	Prec@5 71.094 (68.254)
Epoch: [77][1260/7045]	Time 0.107 (0.241)	Data 0.003 (0.176)	Loss 2.5075 (2.5394)	Prec@1 38.281 (38.440)	Prec@5 68.359 (68.246)
Epoch: [77][1270/7045]	Time 0.538 (0.241)	Data 0.486 (0.176)	Loss 2.4391 (2.5394)	Prec@1 40.234 (38.448)	Prec@5 69.922 (68.247)
Epoch: [77][1280/7045]	Time 0.125 (0.241)	Data 0.073 (0.176)	Loss 2.4623 (2.5390)	Prec@1 38.672 (38.447)	Prec@5 69.531 (68.257)
Epoch: [77][1290/7045]	Time 0.495 (0.241)	Data 0.442 (0.176)	Loss 2.4636 (2.5387)	Prec@1 38.281 (38.458)	Prec@5 71.094 (68.268)
Epoch: [77][1300/7045]	Time 0.103 (0.241)	Data 0.047 (0.176)	Loss 2.7230 (2.5386)	Prec@1 37.891 (38.456)	Prec@5 66.406 (68.270)
Epoch: [77][1310/7045]	Time 0.503 (0.241)	Data 0.451 (0.177)	Loss 2.5933 (2.5391)	Prec@1 37.109 (38.447)	Prec@5 66.797 (68.257)
Epoch: [77][1320/7045]	Time 0.101 (0.241)	Data 0.047 (0.176)	Loss 2.5779 (2.5388)	Prec@1 35.156 (38.438)	Prec@5 67.969 (68.271)
Epoch: [77][1330/7045]	Time 0.471 (0.241)	Data 0.411 (0.177)	Loss 2.5278 (2.5389)	Prec@1 33.984 (38.436)	Prec@5 70.312 (68.274)
Epoch: [77][1340/7045]	Time 0.103 (0.241)	Data 0.049 (0.176)	Loss 2.6093 (2.5392)	Prec@1 34.375 (38.422)	Prec@5 65.625 (68.276)
Epoch: [77][1350/7045]	Time 0.459 (0.241)	Data 0.400 (0.177)	Loss 2.3262 (2.5388)	Prec@1 41.016 (38.430)	Prec@5 72.656 (68.289)
Epoch: [77][1360/7045]	Time 0.105 (0.241)	Data 0.051 (0.176)	Loss 2.5128 (2.5387)	Prec@1 41.797 (38.437)	Prec@5 68.359 (68.289)
Epoch: [77][1370/7045]	Time 0.388 (0.241)	Data 0.336 (0.177)	Loss 2.4806 (2.5389)	Prec@1 39.062 (38.439)	Prec@5 69.922 (68.285)
Epoch: [77][1380/7045]	Time 0.109 (0.241)	Data 0.056 (0.176)	Loss 2.7303 (2.5390)	Prec@1 34.375 (38.438)	Prec@5 67.188 (68.286)
Epoch: [77][1390/7045]	Time 0.298 (0.241)	Data 0.239 (0.177)	Loss 2.5537 (2.5387)	Prec@1 36.719 (38.438)	Prec@5 67.188 (68.293)
Epoch: [77][1400/7045]	Time 0.153 (0.241)	Data 0.099 (0.176)	Loss 2.3919 (2.5385)	Prec@1 42.188 (38.439)	Prec@5 72.656 (68.291)
Epoch: [77][1410/7045]	Time 0.140 (0.241)	Data 0.089 (0.177)	Loss 2.5623 (2.5382)	Prec@1 34.375 (38.436)	Prec@5 67.969 (68.300)
Epoch: [77][1420/7045]	Time 0.142 (0.241)	Data 0.090 (0.177)	Loss 2.6085 (2.5386)	Prec@1 35.547 (38.428)	Prec@5 68.750 (68.290)
Epoch: [77][1430/7045]	Time 0.108 (0.241)	Data 0.010 (0.177)	Loss 2.3300 (2.5380)	Prec@1 44.141 (38.434)	Prec@5 71.484 (68.303)
Epoch: [77][1440/7045]	Time 0.118 (0.241)	Data 0.066 (0.177)	Loss 2.4458 (2.5377)	Prec@1 43.750 (38.436)	Prec@5 68.359 (68.309)
Epoch: [77][1450/7045]	Time 0.108 (0.241)	Data 0.006 (0.177)	Loss 2.5568 (2.5377)	Prec@1 36.328 (38.444)	Prec@5 65.625 (68.308)
Epoch: [77][1460/7045]	Time 0.196 (0.241)	Data 0.144 (0.176)	Loss 2.7250 (2.5380)	Prec@1 37.109 (38.445)	Prec@5 66.797 (68.310)
Epoch: [77][1470/7045]	Time 0.150 (0.241)	Data 0.092 (0.177)	Loss 2.4513 (2.5377)	Prec@1 39.844 (38.450)	Prec@5 70.703 (68.315)
Epoch: [77][1480/7045]	Time 0.268 (0.241)	Data 0.217 (0.177)	Loss 2.6416 (2.5376)	Prec@1 37.891 (38.452)	Prec@5 64.453 (68.315)
Epoch: [77][1490/7045]	Time 0.243 (0.241)	Data 0.192 (0.177)	Loss 2.5551 (2.5377)	Prec@1 42.188 (38.455)	Prec@5 67.969 (68.313)
Epoch: [77][1500/7045]	Time 0.234 (0.241)	Data 0.183 (0.177)	Loss 2.4997 (2.5379)	Prec@1 41.016 (38.449)	Prec@5 67.578 (68.305)
Epoch: [77][1510/7045]	Time 0.280 (0.241)	Data 0.228 (0.177)	Loss 2.6239 (2.5386)	Prec@1 37.891 (38.439)	Prec@5 68.750 (68.286)
Epoch: [77][1520/7045]	Time 0.261 (0.241)	Data 0.208 (0.177)	Loss 2.4745 (2.5387)	Prec@1 38.281 (38.435)	Prec@5 69.922 (68.284)
Epoch: [77][1530/7045]	Time 0.333 (0.241)	Data 0.280 (0.177)	Loss 2.4300 (2.5385)	Prec@1 42.578 (38.443)	Prec@5 71.484 (68.288)
Epoch: [77][1540/7045]	Time 0.240 (0.241)	Data 0.187 (0.177)	Loss 2.5046 (2.5386)	Prec@1 37.891 (38.439)	Prec@5 69.531 (68.290)
Epoch: [77][1550/7045]	Time 0.362 (0.241)	Data 0.309 (0.177)	Loss 2.6546 (2.5389)	Prec@1 37.109 (38.433)	Prec@5 66.016 (68.289)
Epoch: [77][1560/7045]	Time 0.229 (0.241)	Data 0.177 (0.177)	Loss 2.4630 (2.5387)	Prec@1 41.016 (38.435)	Prec@5 69.141 (68.298)
Epoch: [77][1570/7045]	Time 0.371 (0.241)	Data 0.318 (0.177)	Loss 2.4135 (2.5390)	Prec@1 43.359 (38.425)	Prec@5 67.969 (68.293)
Epoch: [77][1580/7045]	Time 0.132 (0.241)	Data 0.079 (0.177)	Loss 2.5296 (2.5392)	Prec@1 37.891 (38.415)	Prec@5 67.578 (68.285)
Epoch: [77][1590/7045]	Time 0.460 (0.241)	Data 0.408 (0.177)	Loss 2.7770 (2.5395)	Prec@1 34.375 (38.407)	Prec@5 66.406 (68.286)
Epoch: [77][1600/7045]	Time 0.110 (0.241)	Data 0.004 (0.177)	Loss 2.5884 (2.5398)	Prec@1 37.891 (38.395)	Prec@5 67.578 (68.280)
Epoch: [77][1610/7045]	Time 0.418 (0.241)	Data 0.366 (0.177)	Loss 2.7776 (2.5398)	Prec@1 36.719 (38.404)	Prec@5 62.891 (68.278)
Epoch: [77][1620/7045]	Time 0.102 (0.241)	Data 0.005 (0.177)	Loss 2.5275 (2.5399)	Prec@1 37.891 (38.401)	Prec@5 65.625 (68.271)
Epoch: [77][1630/7045]	Time 0.407 (0.241)	Data 0.354 (0.177)	Loss 2.3802 (2.5397)	Prec@1 39.453 (38.405)	Prec@5 69.922 (68.271)
Epoch: [77][1640/7045]	Time 0.102 (0.241)	Data 0.001 (0.177)	Loss 2.8121 (2.5399)	Prec@1 34.766 (38.405)	Prec@5 64.453 (68.265)
Epoch: [77][1650/7045]	Time 0.481 (0.241)	Data 0.429 (0.177)	Loss 2.5834 (2.5403)	Prec@1 36.328 (38.394)	Prec@5 65.625 (68.260)
Epoch: [77][1660/7045]	Time 0.102 (0.241)	Data 0.001 (0.177)	Loss 2.5433 (2.5405)	Prec@1 40.234 (38.394)	Prec@5 71.875 (68.255)
Epoch: [77][1670/7045]	Time 0.401 (0.241)	Data 0.349 (0.177)	Loss 2.7115 (2.5413)	Prec@1 33.203 (38.384)	Prec@5 65.625 (68.241)
Epoch: [77][1680/7045]	Time 0.188 (0.241)	Data 0.136 (0.177)	Loss 2.5621 (2.5415)	Prec@1 40.234 (38.378)	Prec@5 67.578 (68.237)
Epoch: [77][1690/7045]	Time 0.428 (0.241)	Data 0.368 (0.177)	Loss 2.5206 (2.5417)	Prec@1 40.234 (38.377)	Prec@5 68.359 (68.233)
Epoch: [77][1700/7045]	Time 0.193 (0.240)	Data 0.140 (0.177)	Loss 2.6254 (2.5420)	Prec@1 35.156 (38.374)	Prec@5 66.797 (68.228)
Epoch: [77][1710/7045]	Time 0.401 (0.241)	Data 0.350 (0.177)	Loss 2.3838 (2.5417)	Prec@1 40.625 (38.378)	Prec@5 71.094 (68.237)
Epoch: [77][1720/7045]	Time 0.193 (0.240)	Data 0.140 (0.177)	Loss 2.4208 (2.5418)	Prec@1 39.844 (38.374)	Prec@5 69.141 (68.232)
Epoch: [77][1730/7045]	Time 0.404 (0.241)	Data 0.345 (0.177)	Loss 2.6214 (2.5417)	Prec@1 38.672 (38.381)	Prec@5 64.844 (68.233)
Epoch: [77][1740/7045]	Time 0.220 (0.240)	Data 0.167 (0.177)	Loss 2.4996 (2.5415)	Prec@1 40.625 (38.390)	Prec@5 66.797 (68.235)
Epoch: [77][1750/7045]	Time 0.378 (0.241)	Data 0.326 (0.177)	Loss 2.4758 (2.5411)	Prec@1 42.578 (38.396)	Prec@5 67.188 (68.235)
Epoch: [77][1760/7045]	Time 0.274 (0.240)	Data 0.222 (0.177)	Loss 2.6883 (2.5417)	Prec@1 36.719 (38.392)	Prec@5 68.359 (68.232)
Epoch: [77][1770/7045]	Time 0.327 (0.240)	Data 0.269 (0.177)	Loss 2.7668 (2.5419)	Prec@1 33.984 (38.387)	Prec@5 63.672 (68.232)
Epoch: [77][1780/7045]	Time 0.310 (0.240)	Data 0.258 (0.177)	Loss 2.5029 (2.5417)	Prec@1 33.984 (38.388)	Prec@5 67.969 (68.237)
Epoch: [77][1790/7045]	Time 0.212 (0.240)	Data 0.160 (0.177)	Loss 2.5818 (2.5414)	Prec@1 37.500 (38.390)	Prec@5 66.016 (68.242)
Epoch: [77][1800/7045]	Time 0.271 (0.240)	Data 0.219 (0.177)	Loss 2.4661 (2.5413)	Prec@1 39.453 (38.393)	Prec@5 71.094 (68.240)
Epoch: [77][1810/7045]	Time 0.143 (0.240)	Data 0.090 (0.177)	Loss 2.4491 (2.5409)	Prec@1 39.453 (38.396)	Prec@5 68.750 (68.250)
Epoch: [77][1820/7045]	Time 0.269 (0.240)	Data 0.216 (0.177)	Loss 2.4746 (2.5411)	Prec@1 41.406 (38.395)	Prec@5 68.750 (68.245)
Epoch: [77][1830/7045]	Time 0.102 (0.240)	Data 0.005 (0.177)	Loss 2.4898 (2.5411)	Prec@1 39.062 (38.390)	Prec@5 70.312 (68.247)
Epoch: [77][1840/7045]	Time 0.370 (0.240)	Data 0.319 (0.177)	Loss 2.5995 (2.5412)	Prec@1 37.109 (38.390)	Prec@5 72.266 (68.247)
Epoch: [77][1850/7045]	Time 0.112 (0.240)	Data 0.059 (0.177)	Loss 2.4408 (2.5413)	Prec@1 35.156 (38.386)	Prec@5 73.047 (68.250)
Epoch: [77][1860/7045]	Time 0.391 (0.240)	Data 0.339 (0.177)	Loss 2.3636 (2.5409)	Prec@1 38.672 (38.385)	Prec@5 72.266 (68.257)
Epoch: [77][1870/7045]	Time 0.108 (0.240)	Data 0.054 (0.177)	Loss 2.1785 (2.5407)	Prec@1 47.266 (38.391)	Prec@5 73.047 (68.260)
Epoch: [77][1880/7045]	Time 0.387 (0.240)	Data 0.335 (0.177)	Loss 2.6436 (2.5409)	Prec@1 39.453 (38.386)	Prec@5 66.797 (68.259)
Epoch: [77][1890/7045]	Time 0.189 (0.240)	Data 0.137 (0.177)	Loss 2.5163 (2.5408)	Prec@1 38.672 (38.385)	Prec@5 70.312 (68.260)
Epoch: [77][1900/7045]	Time 0.401 (0.240)	Data 0.349 (0.178)	Loss 2.3695 (2.5407)	Prec@1 38.672 (38.388)	Prec@5 73.828 (68.263)
Epoch: [77][1910/7045]	Time 0.337 (0.240)	Data 0.285 (0.178)	Loss 2.5689 (2.5409)	Prec@1 37.891 (38.384)	Prec@5 69.531 (68.261)
Epoch: [77][1920/7045]	Time 0.378 (0.240)	Data 0.319 (0.177)	Loss 2.5672 (2.5409)	Prec@1 36.328 (38.385)	Prec@5 68.359 (68.259)
Epoch: [77][1930/7045]	Time 0.415 (0.240)	Data 0.362 (0.177)	Loss 2.7504 (2.5411)	Prec@1 34.375 (38.376)	Prec@5 61.719 (68.253)
Epoch: [77][1940/7045]	Time 0.325 (0.240)	Data 0.267 (0.177)	Loss 2.7780 (2.5412)	Prec@1 35.938 (38.374)	Prec@5 65.625 (68.251)
Epoch: [77][1950/7045]	Time 0.484 (0.240)	Data 0.432 (0.177)	Loss 2.4929 (2.5413)	Prec@1 38.281 (38.373)	Prec@5 71.094 (68.249)
Epoch: [77][1960/7045]	Time 0.312 (0.240)	Data 0.260 (0.177)	Loss 2.6330 (2.5414)	Prec@1 38.672 (38.371)	Prec@5 67.578 (68.249)
Epoch: [77][1970/7045]	Time 0.558 (0.240)	Data 0.505 (0.177)	Loss 2.6445 (2.5417)	Prec@1 35.938 (38.363)	Prec@5 66.406 (68.246)
Epoch: [77][1980/7045]	Time 0.210 (0.240)	Data 0.158 (0.177)	Loss 2.3334 (2.5414)	Prec@1 39.453 (38.358)	Prec@5 72.656 (68.249)
Epoch: [77][1990/7045]	Time 0.552 (0.240)	Data 0.493 (0.177)	Loss 2.5008 (2.5413)	Prec@1 40.234 (38.356)	Prec@5 71.484 (68.251)
Epoch: [77][2000/7045]	Time 0.157 (0.240)	Data 0.099 (0.177)	Loss 2.4025 (2.5413)	Prec@1 41.797 (38.360)	Prec@5 69.922 (68.253)
Epoch: [77][2010/7045]	Time 0.504 (0.240)	Data 0.451 (0.177)	Loss 2.5494 (2.5413)	Prec@1 37.891 (38.357)	Prec@5 68.359 (68.251)
Epoch: [77][2020/7045]	Time 0.102 (0.240)	Data 0.005 (0.177)	Loss 2.4220 (2.5414)	Prec@1 43.359 (38.359)	Prec@5 71.484 (68.253)
Epoch: [77][2030/7045]	Time 0.441 (0.240)	Data 0.388 (0.177)	Loss 2.7020 (2.5416)	Prec@1 36.719 (38.364)	Prec@5 65.234 (68.250)
Epoch: [77][2040/7045]	Time 0.102 (0.240)	Data 0.004 (0.177)	Loss 2.7313 (2.5418)	Prec@1 37.109 (38.359)	Prec@5 65.625 (68.246)
Epoch: [77][2050/7045]	Time 0.305 (0.240)	Data 0.253 (0.177)	Loss 2.4827 (2.5418)	Prec@1 39.844 (38.361)	Prec@5 67.188 (68.245)
Epoch: [77][2060/7045]	Time 0.193 (0.240)	Data 0.141 (0.177)	Loss 2.5822 (2.5418)	Prec@1 37.891 (38.362)	Prec@5 67.578 (68.250)
Epoch: [77][2070/7045]	Time 0.369 (0.240)	Data 0.311 (0.177)	Loss 2.4100 (2.5417)	Prec@1 40.234 (38.359)	Prec@5 72.656 (68.256)
Epoch: [77][2080/7045]	Time 0.277 (0.240)	Data 0.225 (0.177)	Loss 2.5806 (2.5419)	Prec@1 38.672 (38.357)	Prec@5 67.188 (68.256)
Epoch: [77][2090/7045]	Time 0.328 (0.240)	Data 0.269 (0.177)	Loss 2.4436 (2.5417)	Prec@1 41.797 (38.367)	Prec@5 71.094 (68.260)
Epoch: [77][2100/7045]	Time 0.338 (0.240)	Data 0.286 (0.177)	Loss 2.6162 (2.5415)	Prec@1 38.672 (38.375)	Prec@5 66.797 (68.264)
Epoch: [77][2110/7045]	Time 0.269 (0.240)	Data 0.217 (0.177)	Loss 2.4566 (2.5414)	Prec@1 39.062 (38.375)	Prec@5 71.875 (68.268)
Epoch: [77][2120/7045]	Time 0.406 (0.240)	Data 0.354 (0.177)	Loss 2.5153 (2.5414)	Prec@1 37.109 (38.368)	Prec@5 67.578 (68.271)
Epoch: [77][2130/7045]	Time 0.282 (0.240)	Data 0.230 (0.177)	Loss 2.4402 (2.5413)	Prec@1 42.969 (38.371)	Prec@5 71.094 (68.277)
Epoch: [77][2140/7045]	Time 0.587 (0.240)	Data 0.535 (0.177)	Loss 2.5314 (2.5413)	Prec@1 39.453 (38.375)	Prec@5 70.703 (68.277)
Epoch: [77][2150/7045]	Time 0.142 (0.240)	Data 0.090 (0.177)	Loss 2.4821 (2.5411)	Prec@1 39.453 (38.375)	Prec@5 69.141 (68.280)
Epoch: [77][2160/7045]	Time 0.607 (0.240)	Data 0.556 (0.177)	Loss 2.4587 (2.5412)	Prec@1 37.500 (38.369)	Prec@5 69.531 (68.277)
Epoch: [77][2170/7045]	Time 0.135 (0.240)	Data 0.076 (0.177)	Loss 2.4796 (2.5411)	Prec@1 40.625 (38.375)	Prec@5 70.312 (68.278)
Epoch: [77][2180/7045]	Time 0.630 (0.240)	Data 0.577 (0.177)	Loss 2.6486 (2.5408)	Prec@1 34.375 (38.382)	Prec@5 66.797 (68.284)
Epoch: [77][2190/7045]	Time 0.121 (0.240)	Data 0.062 (0.177)	Loss 2.5803 (2.5408)	Prec@1 41.797 (38.388)	Prec@5 64.844 (68.281)
Epoch: [77][2200/7045]	Time 0.614 (0.240)	Data 0.555 (0.177)	Loss 2.6476 (2.5408)	Prec@1 35.938 (38.390)	Prec@5 65.625 (68.280)
Epoch: [77][2210/7045]	Time 0.108 (0.240)	Data 0.006 (0.177)	Loss 2.5807 (2.5407)	Prec@1 40.625 (38.393)	Prec@5 68.750 (68.287)
Epoch: [77][2220/7045]	Time 0.665 (0.240)	Data 0.613 (0.177)	Loss 2.3661 (2.5406)	Prec@1 41.016 (38.390)	Prec@5 73.047 (68.288)
Epoch: [77][2230/7045]	Time 0.110 (0.240)	Data 0.059 (0.177)	Loss 2.3219 (2.5404)	Prec@1 40.625 (38.393)	Prec@5 75.000 (68.295)
Epoch: [77][2240/7045]	Time 0.598 (0.240)	Data 0.546 (0.177)	Loss 2.4244 (2.5402)	Prec@1 42.188 (38.391)	Prec@5 73.828 (68.298)
Epoch: [77][2250/7045]	Time 0.107 (0.240)	Data 0.055 (0.177)	Loss 2.4364 (2.5402)	Prec@1 40.234 (38.392)	Prec@5 71.875 (68.302)
Epoch: [77][2260/7045]	Time 0.518 (0.240)	Data 0.467 (0.177)	Loss 2.7904 (2.5405)	Prec@1 35.156 (38.389)	Prec@5 67.969 (68.303)
Epoch: [77][2270/7045]	Time 0.311 (0.240)	Data 0.258 (0.177)	Loss 2.6846 (2.5403)	Prec@1 33.984 (38.390)	Prec@5 64.062 (68.302)
Epoch: [77][2280/7045]	Time 0.487 (0.240)	Data 0.435 (0.177)	Loss 2.5480 (2.5403)	Prec@1 36.719 (38.388)	Prec@5 69.531 (68.301)
Epoch: [77][2290/7045]	Time 0.259 (0.240)	Data 0.200 (0.177)	Loss 2.5877 (2.5400)	Prec@1 35.547 (38.390)	Prec@5 63.672 (68.305)
Epoch: [77][2300/7045]	Time 0.445 (0.240)	Data 0.394 (0.177)	Loss 2.7770 (2.5402)	Prec@1 39.453 (38.382)	Prec@5 63.672 (68.304)
Epoch: [77][2310/7045]	Time 0.238 (0.240)	Data 0.187 (0.177)	Loss 2.6267 (2.5401)	Prec@1 36.719 (38.383)	Prec@5 66.406 (68.307)
Epoch: [77][2320/7045]	Time 0.411 (0.240)	Data 0.359 (0.177)	Loss 2.4441 (2.5400)	Prec@1 42.188 (38.380)	Prec@5 68.750 (68.310)
Epoch: [77][2330/7045]	Time 0.281 (0.240)	Data 0.228 (0.177)	Loss 2.4982 (2.5399)	Prec@1 38.281 (38.382)	Prec@5 70.703 (68.311)
Epoch: [77][2340/7045]	Time 0.262 (0.240)	Data 0.210 (0.177)	Loss 2.7255 (2.5398)	Prec@1 32.031 (38.381)	Prec@5 63.672 (68.308)
Epoch: [77][2350/7045]	Time 0.301 (0.240)	Data 0.249 (0.177)	Loss 2.4186 (2.5400)	Prec@1 38.672 (38.378)	Prec@5 70.312 (68.303)
Epoch: [77][2360/7045]	Time 0.192 (0.240)	Data 0.140 (0.177)	Loss 2.7289 (2.5400)	Prec@1 36.719 (38.381)	Prec@5 64.844 (68.305)
Epoch: [77][2370/7045]	Time 0.275 (0.240)	Data 0.223 (0.177)	Loss 2.7423 (2.5402)	Prec@1 35.938 (38.379)	Prec@5 62.891 (68.303)
Epoch: [77][2380/7045]	Time 0.103 (0.240)	Data 0.001 (0.177)	Loss 2.5212 (2.5402)	Prec@1 40.234 (38.380)	Prec@5 70.312 (68.301)
Epoch: [77][2390/7045]	Time 0.164 (0.240)	Data 0.111 (0.177)	Loss 2.4508 (2.5401)	Prec@1 37.109 (38.385)	Prec@5 69.531 (68.300)
Epoch: [77][2400/7045]	Time 0.102 (0.240)	Data 0.004 (0.177)	Loss 2.7303 (2.5400)	Prec@1 34.375 (38.385)	Prec@5 66.406 (68.301)
Epoch: [77][2410/7045]	Time 0.154 (0.240)	Data 0.101 (0.177)	Loss 2.7113 (2.5400)	Prec@1 35.547 (38.383)	Prec@5 66.406 (68.306)
Epoch: [77][2420/7045]	Time 0.102 (0.240)	Data 0.003 (0.177)	Loss 2.5064 (2.5400)	Prec@1 36.328 (38.381)	Prec@5 69.531 (68.309)
Epoch: [77][2430/7045]	Time 0.111 (0.240)	Data 0.058 (0.177)	Loss 2.4586 (2.5400)	Prec@1 40.625 (38.385)	Prec@5 69.531 (68.310)
Epoch: [77][2440/7045]	Time 0.102 (0.240)	Data 0.004 (0.177)	Loss 2.4615 (2.5398)	Prec@1 33.984 (38.381)	Prec@5 70.312 (68.312)
Epoch: [77][2450/7045]	Time 0.242 (0.240)	Data 0.182 (0.177)	Loss 2.4072 (2.5395)	Prec@1 40.625 (38.382)	Prec@5 69.531 (68.319)
Epoch: [77][2460/7045]	Time 0.127 (0.240)	Data 0.074 (0.177)	Loss 2.5867 (2.5397)	Prec@1 39.062 (38.380)	Prec@5 66.406 (68.317)
Epoch: [77][2470/7045]	Time 0.250 (0.240)	Data 0.191 (0.177)	Loss 2.5555 (2.5397)	Prec@1 40.625 (38.381)	Prec@5 66.406 (68.314)
Epoch: [77][2480/7045]	Time 0.192 (0.240)	Data 0.139 (0.177)	Loss 2.7957 (2.5397)	Prec@1 37.109 (38.382)	Prec@5 61.719 (68.309)
Epoch: [77][2490/7045]	Time 0.235 (0.240)	Data 0.183 (0.177)	Loss 2.4317 (2.5398)	Prec@1 42.188 (38.382)	Prec@5 71.875 (68.309)
Epoch: [77][2500/7045]	Time 0.253 (0.240)	Data 0.201 (0.177)	Loss 2.6738 (2.5399)	Prec@1 38.281 (38.383)	Prec@5 65.625 (68.305)
Epoch: [77][2510/7045]	Time 0.224 (0.240)	Data 0.172 (0.177)	Loss 2.5806 (2.5402)	Prec@1 36.719 (38.377)	Prec@5 67.188 (68.297)
Epoch: [77][2520/7045]	Time 0.203 (0.240)	Data 0.150 (0.177)	Loss 2.5801 (2.5401)	Prec@1 37.891 (38.380)	Prec@5 69.922 (68.299)
Epoch: [77][2530/7045]	Time 0.130 (0.240)	Data 0.077 (0.177)	Loss 2.5291 (2.5403)	Prec@1 39.062 (38.376)	Prec@5 68.359 (68.295)
Epoch: [77][2540/7045]	Time 0.315 (0.240)	Data 0.263 (0.177)	Loss 2.4577 (2.5401)	Prec@1 37.891 (38.382)	Prec@5 70.312 (68.294)
Epoch: [77][2550/7045]	Time 0.113 (0.240)	Data 0.061 (0.177)	Loss 2.4979 (2.5397)	Prec@1 35.938 (38.388)	Prec@5 68.750 (68.300)
Epoch: [77][2560/7045]	Time 0.395 (0.240)	Data 0.343 (0.177)	Loss 2.6215 (2.5396)	Prec@1 35.547 (38.392)	Prec@5 69.922 (68.303)
Epoch: [77][2570/7045]	Time 0.119 (0.240)	Data 0.059 (0.177)	Loss 2.6803 (2.5396)	Prec@1 37.500 (38.393)	Prec@5 65.234 (68.301)
Epoch: [77][2580/7045]	Time 0.357 (0.240)	Data 0.305 (0.177)	Loss 2.4010 (2.5395)	Prec@1 43.359 (38.401)	Prec@5 69.531 (68.301)
Epoch: [77][2590/7045]	Time 0.108 (0.240)	Data 0.004 (0.177)	Loss 2.4065 (2.5396)	Prec@1 41.016 (38.394)	Prec@5 72.656 (68.302)
Epoch: [77][2600/7045]	Time 0.366 (0.240)	Data 0.314 (0.177)	Loss 2.5304 (2.5397)	Prec@1 37.891 (38.393)	Prec@5 68.750 (68.302)
Epoch: [77][2610/7045]	Time 0.102 (0.240)	Data 0.046 (0.177)	Loss 2.4952 (2.5398)	Prec@1 40.234 (38.391)	Prec@5 66.406 (68.298)
Epoch: [77][2620/7045]	Time 0.364 (0.240)	Data 0.311 (0.177)	Loss 2.4850 (2.5397)	Prec@1 39.453 (38.396)	Prec@5 67.188 (68.301)
Epoch: [77][2630/7045]	Time 0.113 (0.240)	Data 0.054 (0.177)	Loss 2.3463 (2.5397)	Prec@1 39.453 (38.394)	Prec@5 74.219 (68.298)
Epoch: [77][2640/7045]	Time 0.332 (0.240)	Data 0.280 (0.177)	Loss 2.5832 (2.5396)	Prec@1 39.844 (38.394)	Prec@5 69.141 (68.299)
Epoch: [77][2650/7045]	Time 0.274 (0.240)	Data 0.222 (0.177)	Loss 2.5361 (2.5395)	Prec@1 37.109 (38.398)	Prec@5 66.016 (68.300)
Epoch: [77][2660/7045]	Time 0.367 (0.240)	Data 0.315 (0.177)	Loss 2.4924 (2.5394)	Prec@1 40.234 (38.400)	Prec@5 67.188 (68.301)
Epoch: [77][2670/7045]	Time 0.272 (0.240)	Data 0.219 (0.177)	Loss 2.6681 (2.5397)	Prec@1 35.938 (38.391)	Prec@5 64.453 (68.297)
Epoch: [77][2680/7045]	Time 0.303 (0.240)	Data 0.252 (0.177)	Loss 2.5184 (2.5395)	Prec@1 41.797 (38.397)	Prec@5 66.406 (68.298)
Epoch: [77][2690/7045]	Time 0.218 (0.240)	Data 0.166 (0.177)	Loss 2.6341 (2.5395)	Prec@1 37.500 (38.401)	Prec@5 68.750 (68.300)
Epoch: [77][2700/7045]	Time 0.199 (0.240)	Data 0.140 (0.177)	Loss 2.5228 (2.5395)	Prec@1 44.531 (38.408)	Prec@5 68.359 (68.300)
Epoch: [77][2710/7045]	Time 0.251 (0.240)	Data 0.199 (0.177)	Loss 2.6045 (2.5394)	Prec@1 35.938 (38.408)	Prec@5 64.453 (68.301)
Epoch: [77][2720/7045]	Time 0.102 (0.240)	Data 0.005 (0.177)	Loss 2.3960 (2.5394)	Prec@1 39.844 (38.412)	Prec@5 68.750 (68.301)
Epoch: [77][2730/7045]	Time 0.215 (0.240)	Data 0.162 (0.177)	Loss 2.4794 (2.5397)	Prec@1 40.234 (38.404)	Prec@5 71.484 (68.293)
Epoch: [77][2740/7045]	Time 0.102 (0.240)	Data 0.005 (0.177)	Loss 2.5439 (2.5396)	Prec@1 40.234 (38.404)	Prec@5 67.188 (68.294)
Epoch: [77][2750/7045]	Time 0.234 (0.240)	Data 0.181 (0.177)	Loss 2.2830 (2.5393)	Prec@1 43.750 (38.405)	Prec@5 71.875 (68.300)
Epoch: [77][2760/7045]	Time 0.108 (0.240)	Data 0.055 (0.177)	Loss 2.6874 (2.5394)	Prec@1 37.891 (38.407)	Prec@5 66.797 (68.297)
Epoch: [77][2770/7045]	Time 0.212 (0.240)	Data 0.160 (0.177)	Loss 2.5885 (2.5396)	Prec@1 34.766 (38.401)	Prec@5 64.844 (68.295)
Epoch: [77][2780/7045]	Time 0.149 (0.240)	Data 0.090 (0.177)	Loss 2.5838 (2.5396)	Prec@1 36.719 (38.402)	Prec@5 66.016 (68.291)
Epoch: [77][2790/7045]	Time 0.178 (0.240)	Data 0.126 (0.177)	Loss 2.5187 (2.5395)	Prec@1 38.281 (38.403)	Prec@5 66.016 (68.293)
Epoch: [77][2800/7045]	Time 0.160 (0.240)	Data 0.108 (0.177)	Loss 2.5654 (2.5397)	Prec@1 33.984 (38.402)	Prec@5 68.359 (68.290)
Epoch: [77][2810/7045]	Time 0.104 (0.240)	Data 0.051 (0.177)	Loss 2.8403 (2.5400)	Prec@1 35.938 (38.398)	Prec@5 64.453 (68.287)
Epoch: [77][2820/7045]	Time 0.214 (0.240)	Data 0.162 (0.177)	Loss 2.7828 (2.5403)	Prec@1 32.422 (38.391)	Prec@5 62.891 (68.279)
Epoch: [77][2830/7045]	Time 0.101 (0.240)	Data 0.004 (0.177)	Loss 2.5202 (2.5403)	Prec@1 37.500 (38.387)	Prec@5 67.578 (68.278)
Epoch: [77][2840/7045]	Time 0.278 (0.240)	Data 0.225 (0.177)	Loss 2.6890 (2.5402)	Prec@1 33.984 (38.388)	Prec@5 65.234 (68.279)
Epoch: [77][2850/7045]	Time 0.102 (0.240)	Data 0.004 (0.177)	Loss 2.5964 (2.5403)	Prec@1 38.281 (38.389)	Prec@5 69.141 (68.276)
Epoch: [77][2860/7045]	Time 0.425 (0.240)	Data 0.373 (0.177)	Loss 2.6823 (2.5407)	Prec@1 35.938 (38.384)	Prec@5 66.797 (68.273)
Epoch: [77][2870/7045]	Time 0.101 (0.240)	Data 0.001 (0.177)	Loss 2.8152 (2.5409)	Prec@1 33.203 (38.377)	Prec@5 62.500 (68.271)
Epoch: [77][2880/7045]	Time 0.469 (0.240)	Data 0.418 (0.177)	Loss 2.4152 (2.5409)	Prec@1 41.406 (38.376)	Prec@5 71.875 (68.273)
Epoch: [77][2890/7045]	Time 0.102 (0.240)	Data 0.004 (0.177)	Loss 2.5658 (2.5411)	Prec@1 36.719 (38.377)	Prec@5 65.625 (68.266)
Epoch: [77][2900/7045]	Time 0.489 (0.240)	Data 0.436 (0.177)	Loss 2.6815 (2.5410)	Prec@1 37.500 (38.376)	Prec@5 64.453 (68.266)
Epoch: [77][2910/7045]	Time 0.107 (0.240)	Data 0.053 (0.177)	Loss 2.4836 (2.5407)	Prec@1 41.016 (38.384)	Prec@5 72.656 (68.271)
Epoch: [77][2920/7045]	Time 0.516 (0.240)	Data 0.465 (0.177)	Loss 2.4654 (2.5406)	Prec@1 37.109 (38.387)	Prec@5 68.750 (68.274)
Epoch: [77][2930/7045]	Time 0.108 (0.240)	Data 0.055 (0.177)	Loss 2.7795 (2.5409)	Prec@1 33.203 (38.385)	Prec@5 66.797 (68.268)
Epoch: [77][2940/7045]	Time 0.535 (0.240)	Data 0.483 (0.177)	Loss 2.4676 (2.5410)	Prec@1 42.188 (38.386)	Prec@5 67.188 (68.268)
Epoch: [77][2950/7045]	Time 0.116 (0.240)	Data 0.055 (0.177)	Loss 2.4689 (2.5408)	Prec@1 37.891 (38.389)	Prec@5 68.359 (68.270)
Epoch: [77][2960/7045]	Time 0.534 (0.240)	Data 0.482 (0.177)	Loss 2.5995 (2.5409)	Prec@1 36.328 (38.388)	Prec@5 67.578 (68.270)
Epoch: [77][2970/7045]	Time 0.110 (0.240)	Data 0.058 (0.177)	Loss 2.3984 (2.5411)	Prec@1 39.453 (38.388)	Prec@5 69.922 (68.266)
Epoch: [77][2980/7045]	Time 0.515 (0.240)	Data 0.463 (0.177)	Loss 2.5663 (2.5411)	Prec@1 39.453 (38.391)	Prec@5 66.406 (68.265)
Epoch: [77][2990/7045]	Time 0.167 (0.240)	Data 0.115 (0.177)	Loss 2.6515 (2.5412)	Prec@1 34.766 (38.389)	Prec@5 62.891 (68.260)
Epoch: [77][3000/7045]	Time 0.544 (0.240)	Data 0.493 (0.177)	Loss 2.3807 (2.5411)	Prec@1 40.234 (38.397)	Prec@5 74.219 (68.264)
Epoch: [77][3010/7045]	Time 0.102 (0.240)	Data 0.001 (0.177)	Loss 2.7174 (2.5412)	Prec@1 39.062 (38.396)	Prec@5 67.969 (68.263)
Epoch: [77][3020/7045]	Time 0.544 (0.240)	Data 0.493 (0.177)	Loss 2.5973 (2.5413)	Prec@1 33.984 (38.392)	Prec@5 64.844 (68.258)
Epoch: [77][3030/7045]	Time 0.101 (0.240)	Data 0.004 (0.177)	Loss 2.3332 (2.5412)	Prec@1 39.453 (38.393)	Prec@5 70.312 (68.258)
Epoch: [77][3040/7045]	Time 0.460 (0.240)	Data 0.408 (0.177)	Loss 2.4325 (2.5413)	Prec@1 35.156 (38.390)	Prec@5 70.312 (68.255)
Epoch: [77][3050/7045]	Time 0.117 (0.240)	Data 0.064 (0.177)	Loss 2.3853 (2.5412)	Prec@1 40.234 (38.395)	Prec@5 69.922 (68.260)
Epoch: [77][3060/7045]	Time 0.325 (0.240)	Data 0.272 (0.177)	Loss 2.7383 (2.5412)	Prec@1 35.547 (38.399)	Prec@5 64.453 (68.262)
Epoch: [77][3070/7045]	Time 0.152 (0.240)	Data 0.100 (0.177)	Loss 2.2463 (2.5410)	Prec@1 42.578 (38.400)	Prec@5 74.219 (68.266)
Epoch: [77][3080/7045]	Time 0.242 (0.240)	Data 0.190 (0.177)	Loss 2.4581 (2.5413)	Prec@1 39.062 (38.395)	Prec@5 72.266 (68.266)
Epoch: [77][3090/7045]	Time 0.212 (0.240)	Data 0.160 (0.177)	Loss 2.5648 (2.5414)	Prec@1 35.938 (38.398)	Prec@5 64.453 (68.262)
Epoch: [77][3100/7045]	Time 0.222 (0.240)	Data 0.163 (0.177)	Loss 2.5197 (2.5412)	Prec@1 39.844 (38.401)	Prec@5 70.703 (68.264)
Epoch: [77][3110/7045]	Time 0.190 (0.240)	Data 0.138 (0.177)	Loss 2.6081 (2.5412)	Prec@1 36.328 (38.397)	Prec@5 62.891 (68.263)
Epoch: [77][3120/7045]	Time 0.142 (0.240)	Data 0.090 (0.177)	Loss 2.4097 (2.5410)	Prec@1 40.625 (38.402)	Prec@5 71.484 (68.268)
Epoch: [77][3130/7045]	Time 0.172 (0.240)	Data 0.120 (0.177)	Loss 2.5472 (2.5411)	Prec@1 44.531 (38.401)	Prec@5 67.969 (68.264)
Epoch: [77][3140/7045]	Time 0.147 (0.240)	Data 0.089 (0.177)	Loss 2.5118 (2.5411)	Prec@1 37.109 (38.400)	Prec@5 67.969 (68.265)
Epoch: [77][3150/7045]	Time 0.231 (0.240)	Data 0.178 (0.177)	Loss 2.3662 (2.5410)	Prec@1 39.062 (38.402)	Prec@5 69.922 (68.268)
Epoch: [77][3160/7045]	Time 0.107 (0.240)	Data 0.002 (0.177)	Loss 2.5738 (2.5409)	Prec@1 36.719 (38.405)	Prec@5 66.016 (68.267)
Epoch: [77][3170/7045]	Time 0.197 (0.240)	Data 0.144 (0.177)	Loss 2.3109 (2.5407)	Prec@1 41.797 (38.406)	Prec@5 73.438 (68.273)
Epoch: [77][3180/7045]	Time 0.107 (0.240)	Data 0.055 (0.177)	Loss 2.4362 (2.5408)	Prec@1 39.453 (38.403)	Prec@5 73.438 (68.271)
Epoch: [77][3190/7045]	Time 0.133 (0.240)	Data 0.081 (0.177)	Loss 2.6518 (2.5407)	Prec@1 36.328 (38.405)	Prec@5 66.406 (68.272)
Epoch: [77][3200/7045]	Time 0.115 (0.240)	Data 0.062 (0.177)	Loss 2.5817 (2.5407)	Prec@1 39.844 (38.403)	Prec@5 65.625 (68.275)
Epoch: [77][3210/7045]	Time 0.157 (0.240)	Data 0.105 (0.177)	Loss 2.6100 (2.5408)	Prec@1 37.500 (38.400)	Prec@5 67.188 (68.272)
Epoch: [77][3220/7045]	Time 0.215 (0.240)	Data 0.157 (0.177)	Loss 2.5690 (2.5408)	Prec@1 37.891 (38.398)	Prec@5 66.406 (68.268)
Epoch: [77][3230/7045]	Time 0.135 (0.240)	Data 0.083 (0.177)	Loss 2.5577 (2.5406)	Prec@1 36.719 (38.398)	Prec@5 67.578 (68.273)
Epoch: [77][3240/7045]	Time 0.281 (0.240)	Data 0.228 (0.177)	Loss 2.4809 (2.5407)	Prec@1 35.547 (38.397)	Prec@5 68.750 (68.268)
Epoch: [77][3250/7045]	Time 0.210 (0.240)	Data 0.157 (0.177)	Loss 2.5066 (2.5407)	Prec@1 36.328 (38.392)	Prec@5 66.016 (68.268)
Epoch: [77][3260/7045]	Time 0.320 (0.240)	Data 0.268 (0.177)	Loss 2.6857 (2.5407)	Prec@1 32.812 (38.390)	Prec@5 67.969 (68.267)
Epoch: [77][3270/7045]	Time 0.172 (0.240)	Data 0.119 (0.177)	Loss 2.6692 (2.5408)	Prec@1 35.547 (38.388)	Prec@5 64.062 (68.269)
Epoch: [77][3280/7045]	Time 0.373 (0.240)	Data 0.322 (0.177)	Loss 2.5528 (2.5409)	Prec@1 39.453 (38.384)	Prec@5 70.312 (68.267)
Epoch: [77][3290/7045]	Time 0.160 (0.240)	Data 0.109 (0.177)	Loss 2.5522 (2.5409)	Prec@1 41.797 (38.387)	Prec@5 68.359 (68.267)
Epoch: [77][3300/7045]	Time 0.525 (0.240)	Data 0.473 (0.177)	Loss 2.5641 (2.5409)	Prec@1 39.453 (38.390)	Prec@5 68.750 (68.269)
Epoch: [77][3310/7045]	Time 0.157 (0.240)	Data 0.104 (0.177)	Loss 2.7217 (2.5409)	Prec@1 36.719 (38.388)	Prec@5 63.281 (68.268)
Epoch: [77][3320/7045]	Time 0.505 (0.240)	Data 0.446 (0.177)	Loss 2.6180 (2.5408)	Prec@1 34.375 (38.392)	Prec@5 70.312 (68.271)
Epoch: [77][3330/7045]	Time 0.171 (0.240)	Data 0.118 (0.177)	Loss 2.5471 (2.5407)	Prec@1 38.281 (38.396)	Prec@5 65.625 (68.273)
Epoch: [77][3340/7045]	Time 0.565 (0.240)	Data 0.513 (0.177)	Loss 2.4699 (2.5406)	Prec@1 38.281 (38.400)	Prec@5 66.406 (68.276)
Epoch: [77][3350/7045]	Time 0.142 (0.240)	Data 0.089 (0.177)	Loss 2.3352 (2.5406)	Prec@1 43.359 (38.398)	Prec@5 73.047 (68.276)
Epoch: [77][3360/7045]	Time 0.609 (0.240)	Data 0.550 (0.177)	Loss 2.4281 (2.5405)	Prec@1 40.234 (38.401)	Prec@5 71.094 (68.277)
Epoch: [77][3370/7045]	Time 0.142 (0.240)	Data 0.085 (0.177)	Loss 2.6264 (2.5406)	Prec@1 38.672 (38.401)	Prec@5 67.969 (68.275)
Epoch: [77][3380/7045]	Time 0.573 (0.240)	Data 0.521 (0.177)	Loss 2.3334 (2.5406)	Prec@1 41.016 (38.404)	Prec@5 73.047 (68.276)
Epoch: [77][3390/7045]	Time 0.112 (0.240)	Data 0.060 (0.177)	Loss 2.5937 (2.5407)	Prec@1 41.016 (38.409)	Prec@5 62.891 (68.271)
Epoch: [77][3400/7045]	Time 0.535 (0.240)	Data 0.483 (0.177)	Loss 2.7202 (2.5408)	Prec@1 33.594 (38.406)	Prec@5 65.234 (68.269)
Epoch: [77][3410/7045]	Time 0.110 (0.240)	Data 0.058 (0.177)	Loss 2.5828 (2.5410)	Prec@1 41.406 (38.402)	Prec@5 66.406 (68.264)
Epoch: [77][3420/7045]	Time 0.607 (0.240)	Data 0.554 (0.177)	Loss 2.5482 (2.5412)	Prec@1 42.969 (38.397)	Prec@5 69.141 (68.260)
Epoch: [77][3430/7045]	Time 0.112 (0.240)	Data 0.060 (0.177)	Loss 2.4339 (2.5410)	Prec@1 38.281 (38.396)	Prec@5 70.312 (68.261)
Epoch: [77][3440/7045]	Time 0.587 (0.240)	Data 0.535 (0.177)	Loss 2.4426 (2.5410)	Prec@1 37.109 (38.394)	Prec@5 69.141 (68.263)
Epoch: [77][3450/7045]	Time 0.116 (0.240)	Data 0.056 (0.177)	Loss 2.5827 (2.5411)	Prec@1 38.672 (38.395)	Prec@5 68.359 (68.262)
Epoch: [77][3460/7045]	Time 0.629 (0.240)	Data 0.578 (0.177)	Loss 2.6373 (2.5412)	Prec@1 36.328 (38.393)	Prec@5 67.969 (68.263)
Epoch: [77][3470/7045]	Time 0.103 (0.240)	Data 0.051 (0.177)	Loss 2.5106 (2.5412)	Prec@1 40.625 (38.392)	Prec@5 67.578 (68.261)
Epoch: [77][3480/7045]	Time 0.545 (0.240)	Data 0.492 (0.177)	Loss 2.6112 (2.5414)	Prec@1 37.500 (38.390)	Prec@5 69.141 (68.258)
Epoch: [77][3490/7045]	Time 0.139 (0.240)	Data 0.086 (0.177)	Loss 2.6135 (2.5415)	Prec@1 37.109 (38.388)	Prec@5 65.234 (68.256)
Epoch: [77][3500/7045]	Time 0.515 (0.240)	Data 0.463 (0.177)	Loss 2.4638 (2.5414)	Prec@1 42.578 (38.395)	Prec@5 71.094 (68.257)
Epoch: [77][3510/7045]	Time 0.103 (0.240)	Data 0.003 (0.177)	Loss 2.5406 (2.5413)	Prec@1 38.672 (38.397)	Prec@5 64.062 (68.257)
Epoch: [77][3520/7045]	Time 0.469 (0.240)	Data 0.417 (0.177)	Loss 2.5649 (2.5413)	Prec@1 37.891 (38.396)	Prec@5 69.922 (68.258)
Epoch: [77][3530/7045]	Time 0.102 (0.240)	Data 0.001 (0.177)	Loss 2.4215 (2.5411)	Prec@1 41.797 (38.398)	Prec@5 71.484 (68.259)
Epoch: [77][3540/7045]	Time 0.353 (0.240)	Data 0.301 (0.177)	Loss 2.3852 (2.5409)	Prec@1 45.312 (38.401)	Prec@5 70.703 (68.263)
Epoch: [77][3550/7045]	Time 0.102 (0.240)	Data 0.005 (0.177)	Loss 2.6381 (2.5410)	Prec@1 38.281 (38.399)	Prec@5 64.062 (68.261)
Epoch: [77][3560/7045]	Time 0.290 (0.240)	Data 0.236 (0.177)	Loss 2.5017 (2.5409)	Prec@1 43.750 (38.399)	Prec@5 71.094 (68.265)
Epoch: [77][3570/7045]	Time 0.102 (0.240)	Data 0.004 (0.177)	Loss 2.5216 (2.5409)	Prec@1 41.016 (38.403)	Prec@5 68.359 (68.265)
Epoch: [77][3580/7045]	Time 0.151 (0.240)	Data 0.098 (0.177)	Loss 2.3411 (2.5410)	Prec@1 44.922 (38.403)	Prec@5 70.703 (68.265)
Epoch: [77][3590/7045]	Time 0.101 (0.240)	Data 0.005 (0.177)	Loss 2.3881 (2.5410)	Prec@1 37.500 (38.405)	Prec@5 68.750 (68.263)
Epoch: [77][3600/7045]	Time 0.103 (0.240)	Data 0.005 (0.177)	Loss 2.6192 (2.5411)	Prec@1 40.234 (38.405)	Prec@5 65.234 (68.260)
Epoch: [77][3610/7045]	Time 0.102 (0.240)	Data 0.002 (0.177)	Loss 2.3305 (2.5409)	Prec@1 40.234 (38.404)	Prec@5 71.875 (68.263)
Epoch: [77][3620/7045]	Time 0.102 (0.240)	Data 0.007 (0.177)	Loss 2.6907 (2.5410)	Prec@1 39.453 (38.405)	Prec@5 62.891 (68.257)
Epoch: [77][3630/7045]	Time 0.102 (0.240)	Data 0.006 (0.177)	Loss 2.5839 (2.5410)	Prec@1 39.062 (38.406)	Prec@5 67.188 (68.257)
Epoch: [77][3640/7045]	Time 0.102 (0.240)	Data 0.006 (0.177)	Loss 2.3838 (2.5411)	Prec@1 37.109 (38.405)	Prec@5 71.094 (68.254)
Epoch: [77][3650/7045]	Time 0.102 (0.240)	Data 0.004 (0.177)	Loss 2.4674 (2.5411)	Prec@1 40.625 (38.408)	Prec@5 70.312 (68.253)
Epoch: [77][3660/7045]	Time 0.125 (0.240)	Data 0.072 (0.177)	Loss 2.6079 (2.5412)	Prec@1 38.281 (38.410)	Prec@5 65.625 (68.252)
Epoch: [77][3670/7045]	Time 0.102 (0.240)	Data 0.001 (0.177)	Loss 2.5510 (2.5414)	Prec@1 39.062 (38.407)	Prec@5 65.625 (68.250)
Epoch: [77][3680/7045]	Time 0.248 (0.240)	Data 0.197 (0.177)	Loss 2.7532 (2.5414)	Prec@1 39.062 (38.410)	Prec@5 65.234 (68.251)
Epoch: [77][3690/7045]	Time 0.102 (0.240)	Data 0.008 (0.177)	Loss 2.4312 (2.5414)	Prec@1 38.281 (38.410)	Prec@5 70.312 (68.252)
Epoch: [77][3700/7045]	Time 0.289 (0.240)	Data 0.237 (0.177)	Loss 2.6253 (2.5415)	Prec@1 37.109 (38.408)	Prec@5 66.016 (68.249)
Epoch: [77][3710/7045]	Time 0.112 (0.240)	Data 0.059 (0.177)	Loss 2.5129 (2.5416)	Prec@1 36.328 (38.407)	Prec@5 66.406 (68.245)
Epoch: [77][3720/7045]	Time 0.334 (0.240)	Data 0.284 (0.177)	Loss 2.7076 (2.5417)	Prec@1 32.422 (38.405)	Prec@5 66.016 (68.241)
Epoch: [77][3730/7045]	Time 0.205 (0.240)	Data 0.146 (0.177)	Loss 2.5070 (2.5417)	Prec@1 43.359 (38.406)	Prec@5 69.922 (68.242)
Epoch: [77][3740/7045]	Time 0.351 (0.240)	Data 0.299 (0.177)	Loss 2.5608 (2.5416)	Prec@1 35.547 (38.409)	Prec@5 69.141 (68.246)
Epoch: [77][3750/7045]	Time 0.179 (0.240)	Data 0.127 (0.177)	Loss 2.4717 (2.5416)	Prec@1 38.281 (38.405)	Prec@5 69.141 (68.245)
Epoch: [77][3760/7045]	Time 0.322 (0.240)	Data 0.270 (0.177)	Loss 2.3098 (2.5415)	Prec@1 44.141 (38.403)	Prec@5 75.781 (68.251)
Epoch: [77][3770/7045]	Time 0.258 (0.240)	Data 0.207 (0.177)	Loss 2.7429 (2.5416)	Prec@1 35.547 (38.400)	Prec@5 65.625 (68.247)
Epoch: [77][3780/7045]	Time 0.343 (0.239)	Data 0.292 (0.177)	Loss 2.5914 (2.5416)	Prec@1 39.062 (38.402)	Prec@5 66.406 (68.247)
Epoch: [77][3790/7045]	Time 0.138 (0.240)	Data 0.080 (0.177)	Loss 2.5730 (2.5418)	Prec@1 39.062 (38.396)	Prec@5 66.797 (68.244)
Epoch: [77][3800/7045]	Time 0.391 (0.240)	Data 0.339 (0.177)	Loss 2.4210 (2.5418)	Prec@1 38.672 (38.398)	Prec@5 72.266 (68.246)
Epoch: [77][3810/7045]	Time 0.108 (0.239)	Data 0.050 (0.177)	Loss 2.4136 (2.5416)	Prec@1 41.797 (38.401)	Prec@5 67.188 (68.247)
Epoch: [77][3820/7045]	Time 0.398 (0.239)	Data 0.346 (0.177)	Loss 2.5058 (2.5417)	Prec@1 39.844 (38.396)	Prec@5 67.578 (68.246)
Epoch: [77][3830/7045]	Time 0.109 (0.239)	Data 0.007 (0.177)	Loss 2.6172 (2.5418)	Prec@1 36.719 (38.395)	Prec@5 64.062 (68.242)
Epoch: [77][3840/7045]	Time 0.452 (0.239)	Data 0.400 (0.177)	Loss 2.4815 (2.5417)	Prec@1 40.625 (38.397)	Prec@5 67.578 (68.243)
Epoch: [77][3850/7045]	Time 0.109 (0.239)	Data 0.005 (0.177)	Loss 2.6137 (2.5419)	Prec@1 37.500 (38.393)	Prec@5 66.406 (68.240)
Epoch: [77][3860/7045]	Time 0.463 (0.240)	Data 0.411 (0.177)	Loss 2.6277 (2.5419)	Prec@1 35.156 (38.393)	Prec@5 66.797 (68.242)
Epoch: [77][3870/7045]	Time 0.107 (0.239)	Data 0.005 (0.177)	Loss 2.5613 (2.5419)	Prec@1 36.328 (38.395)	Prec@5 66.797 (68.243)
Epoch: [77][3880/7045]	Time 0.546 (0.240)	Data 0.493 (0.177)	Loss 2.6701 (2.5420)	Prec@1 39.062 (38.397)	Prec@5 64.453 (68.242)
Epoch: [77][3890/7045]	Time 0.102 (0.239)	Data 0.001 (0.177)	Loss 2.2966 (2.5419)	Prec@1 38.672 (38.401)	Prec@5 73.828 (68.242)
Epoch: [77][3900/7045]	Time 0.536 (0.239)	Data 0.484 (0.177)	Loss 2.3957 (2.5418)	Prec@1 41.016 (38.405)	Prec@5 70.703 (68.247)
Epoch: [77][3910/7045]	Time 0.102 (0.239)	Data 0.003 (0.177)	Loss 2.5669 (2.5419)	Prec@1 34.766 (38.399)	Prec@5 68.750 (68.244)
Epoch: [77][3920/7045]	Time 0.561 (0.240)	Data 0.502 (0.177)	Loss 2.4536 (2.5419)	Prec@1 42.188 (38.403)	Prec@5 67.578 (68.244)
Epoch: [77][3930/7045]	Time 0.102 (0.239)	Data 0.001 (0.177)	Loss 2.7553 (2.5422)	Prec@1 36.328 (38.399)	Prec@5 65.234 (68.239)
Epoch: [77][3940/7045]	Time 0.507 (0.239)	Data 0.455 (0.177)	Loss 2.6273 (2.5423)	Prec@1 36.719 (38.397)	Prec@5 62.891 (68.237)
Epoch: [77][3950/7045]	Time 0.102 (0.239)	Data 0.001 (0.177)	Loss 2.4929 (2.5423)	Prec@1 36.328 (38.394)	Prec@5 69.141 (68.236)
Epoch: [77][3960/7045]	Time 0.476 (0.239)	Data 0.418 (0.177)	Loss 2.6726 (2.5424)	Prec@1 35.938 (38.392)	Prec@5 62.891 (68.233)
Epoch: [77][3970/7045]	Time 0.101 (0.239)	Data 0.001 (0.177)	Loss 2.4064 (2.5424)	Prec@1 41.016 (38.392)	Prec@5 68.359 (68.234)
Epoch: [77][3980/7045]	Time 0.490 (0.239)	Data 0.438 (0.177)	Loss 2.4475 (2.5424)	Prec@1 41.797 (38.392)	Prec@5 69.141 (68.233)
Epoch: [77][3990/7045]	Time 0.102 (0.239)	Data 0.001 (0.177)	Loss 2.5359 (2.5424)	Prec@1 38.281 (38.392)	Prec@5 68.750 (68.233)
Epoch: [77][4000/7045]	Time 0.434 (0.239)	Data 0.375 (0.177)	Loss 2.6665 (2.5424)	Prec@1 35.156 (38.393)	Prec@5 65.234 (68.235)
Epoch: [77][4010/7045]	Time 0.111 (0.239)	Data 0.058 (0.177)	Loss 2.5182 (2.5423)	Prec@1 36.328 (38.395)	Prec@5 69.141 (68.238)
Epoch: [77][4020/7045]	Time 0.412 (0.239)	Data 0.360 (0.177)	Loss 2.6258 (2.5423)	Prec@1 36.719 (38.394)	Prec@5 67.969 (68.240)
Epoch: [77][4030/7045]	Time 0.161 (0.239)	Data 0.108 (0.177)	Loss 2.4582 (2.5425)	Prec@1 40.234 (38.392)	Prec@5 71.484 (68.239)
Epoch: [77][4040/7045]	Time 0.335 (0.239)	Data 0.283 (0.177)	Loss 2.4468 (2.5427)	Prec@1 38.672 (38.392)	Prec@5 69.922 (68.234)
Epoch: [77][4050/7045]	Time 0.194 (0.239)	Data 0.142 (0.177)	Loss 2.3906 (2.5425)	Prec@1 41.797 (38.395)	Prec@5 73.047 (68.237)
Epoch: [77][4060/7045]	Time 0.254 (0.239)	Data 0.203 (0.177)	Loss 2.5477 (2.5425)	Prec@1 37.500 (38.395)	Prec@5 69.922 (68.239)
Epoch: [77][4070/7045]	Time 0.265 (0.239)	Data 0.214 (0.177)	Loss 2.3221 (2.5423)	Prec@1 42.969 (38.400)	Prec@5 73.047 (68.242)
Epoch: [77][4080/7045]	Time 0.220 (0.239)	Data 0.169 (0.177)	Loss 2.6149 (2.5423)	Prec@1 38.281 (38.400)	Prec@5 67.578 (68.244)
Epoch: [77][4090/7045]	Time 0.296 (0.239)	Data 0.244 (0.177)	Loss 2.5565 (2.5424)	Prec@1 41.797 (38.397)	Prec@5 67.969 (68.243)
Epoch: [77][4100/7045]	Time 0.146 (0.239)	Data 0.094 (0.177)	Loss 2.3523 (2.5423)	Prec@1 39.062 (38.397)	Prec@5 73.438 (68.246)
Epoch: [77][4110/7045]	Time 0.269 (0.239)	Data 0.218 (0.177)	Loss 2.5385 (2.5423)	Prec@1 38.281 (38.396)	Prec@5 67.578 (68.246)
Epoch: [77][4120/7045]	Time 0.111 (0.239)	Data 0.060 (0.177)	Loss 2.7337 (2.5424)	Prec@1 36.719 (38.397)	Prec@5 67.188 (68.247)
Epoch: [77][4130/7045]	Time 0.323 (0.239)	Data 0.271 (0.177)	Loss 2.4954 (2.5423)	Prec@1 42.188 (38.399)	Prec@5 67.969 (68.249)
Epoch: [77][4140/7045]	Time 0.102 (0.239)	Data 0.004 (0.177)	Loss 2.5488 (2.5424)	Prec@1 35.938 (38.397)	Prec@5 65.234 (68.247)
Epoch: [77][4150/7045]	Time 0.397 (0.239)	Data 0.345 (0.177)	Loss 2.2917 (2.5426)	Prec@1 47.266 (38.395)	Prec@5 74.609 (68.242)
Epoch: [77][4160/7045]	Time 0.102 (0.239)	Data 0.001 (0.177)	Loss 2.7224 (2.5426)	Prec@1 33.984 (38.396)	Prec@5 62.891 (68.241)
Epoch: [77][4170/7045]	Time 0.309 (0.239)	Data 0.257 (0.177)	Loss 2.3746 (2.5426)	Prec@1 42.188 (38.396)	Prec@5 67.578 (68.242)
Epoch: [77][4180/7045]	Time 0.102 (0.239)	Data 0.004 (0.177)	Loss 2.5833 (2.5426)	Prec@1 30.859 (38.391)	Prec@5 65.234 (68.241)
Epoch: [77][4190/7045]	Time 0.374 (0.239)	Data 0.322 (0.177)	Loss 2.4813 (2.5425)	Prec@1 42.578 (38.393)	Prec@5 70.703 (68.242)
Epoch: [77][4200/7045]	Time 0.112 (0.239)	Data 0.060 (0.177)	Loss 2.5376 (2.5425)	Prec@1 42.578 (38.395)	Prec@5 71.094 (68.243)
Epoch: [77][4210/7045]	Time 0.334 (0.239)	Data 0.282 (0.177)	Loss 2.4426 (2.5425)	Prec@1 40.234 (38.395)	Prec@5 68.750 (68.243)
Epoch: [77][4220/7045]	Time 0.109 (0.239)	Data 0.057 (0.177)	Loss 2.3897 (2.5425)	Prec@1 38.672 (38.392)	Prec@5 69.922 (68.241)
Epoch: [77][4230/7045]	Time 0.297 (0.239)	Data 0.244 (0.177)	Loss 2.5604 (2.5426)	Prec@1 37.500 (38.392)	Prec@5 66.797 (68.240)
Epoch: [77][4240/7045]	Time 0.103 (0.239)	Data 0.004 (0.177)	Loss 2.4611 (2.5425)	Prec@1 37.500 (38.391)	Prec@5 71.484 (68.242)
Epoch: [77][4250/7045]	Time 0.221 (0.239)	Data 0.168 (0.177)	Loss 2.6911 (2.5426)	Prec@1 36.719 (38.391)	Prec@5 62.500 (68.241)
Epoch: [77][4260/7045]	Time 0.102 (0.239)	Data 0.005 (0.177)	Loss 2.4174 (2.5426)	Prec@1 41.406 (38.390)	Prec@5 70.703 (68.239)
Epoch: [77][4270/7045]	Time 0.210 (0.239)	Data 0.159 (0.177)	Loss 2.7847 (2.5428)	Prec@1 36.328 (38.391)	Prec@5 63.672 (68.238)
Epoch: [77][4280/7045]	Time 0.103 (0.239)	Data 0.005 (0.177)	Loss 2.5842 (2.5428)	Prec@1 36.328 (38.389)	Prec@5 66.016 (68.238)
Epoch: [77][4290/7045]	Time 0.154 (0.239)	Data 0.102 (0.177)	Loss 2.5153 (2.5427)	Prec@1 39.062 (38.390)	Prec@5 71.094 (68.240)
Epoch: [77][4300/7045]	Time 0.101 (0.239)	Data 0.007 (0.177)	Loss 2.5893 (2.5428)	Prec@1 35.938 (38.389)	Prec@5 69.141 (68.238)
Epoch: [77][4310/7045]	Time 0.149 (0.239)	Data 0.096 (0.177)	Loss 2.4773 (2.5429)	Prec@1 41.016 (38.386)	Prec@5 66.406 (68.236)
Epoch: [77][4320/7045]	Time 0.122 (0.239)	Data 0.069 (0.177)	Loss 2.5125 (2.5428)	Prec@1 37.891 (38.388)	Prec@5 71.875 (68.236)
Epoch: [77][4330/7045]	Time 0.108 (0.239)	Data 0.055 (0.177)	Loss 2.4037 (2.5428)	Prec@1 39.453 (38.390)	Prec@5 71.875 (68.236)
Epoch: [77][4340/7045]	Time 0.109 (0.239)	Data 0.054 (0.177)	Loss 2.5405 (2.5428)	Prec@1 33.984 (38.391)	Prec@5 68.750 (68.237)
Epoch: [77][4350/7045]	Time 0.102 (0.239)	Data 0.005 (0.177)	Loss 2.5667 (2.5428)	Prec@1 37.109 (38.390)	Prec@5 63.281 (68.238)
Epoch: [77][4360/7045]	Time 0.102 (0.239)	Data 0.004 (0.177)	Loss 2.6124 (2.5428)	Prec@1 35.938 (38.390)	Prec@5 65.234 (68.237)
Epoch: [77][4370/7045]	Time 0.102 (0.239)	Data 0.001 (0.177)	Loss 2.6172 (2.5428)	Prec@1 37.891 (38.389)	Prec@5 67.188 (68.238)
Epoch: [77][4380/7045]	Time 0.108 (0.239)	Data 0.006 (0.177)	Loss 2.6642 (2.5428)	Prec@1 38.672 (38.390)	Prec@5 69.141 (68.237)
Epoch: [77][4390/7045]	Time 0.102 (0.239)	Data 0.005 (0.177)	Loss 2.5730 (2.5428)	Prec@1 37.109 (38.388)	Prec@5 67.578 (68.237)
Epoch: [77][4400/7045]	Time 0.108 (0.239)	Data 0.007 (0.177)	Loss 2.5242 (2.5428)	Prec@1 36.328 (38.388)	Prec@5 73.047 (68.240)
Epoch: [77][4410/7045]	Time 0.102 (0.239)	Data 0.001 (0.177)	Loss 2.6605 (2.5427)	Prec@1 34.766 (38.391)	Prec@5 66.016 (68.242)
Epoch: [77][4420/7045]	Time 0.102 (0.239)	Data 0.005 (0.177)	Loss 2.5574 (2.5426)	Prec@1 36.328 (38.390)	Prec@5 67.969 (68.243)
Epoch: [77][4430/7045]	Time 0.102 (0.239)	Data 0.001 (0.177)	Loss 2.4113 (2.5426)	Prec@1 39.844 (38.390)	Prec@5 71.484 (68.241)
Epoch: [77][4440/7045]	Time 0.101 (0.239)	Data 0.006 (0.177)	Loss 2.6781 (2.5426)	Prec@1 35.547 (38.390)	Prec@5 65.625 (68.240)
Epoch: [77][4450/7045]	Time 0.102 (0.239)	Data 0.004 (0.176)	Loss 2.4779 (2.5427)	Prec@1 39.062 (38.390)	Prec@5 70.312 (68.238)
Epoch: [77][4460/7045]	Time 0.109 (0.239)	Data 0.006 (0.176)	Loss 2.4224 (2.5426)	Prec@1 38.672 (38.390)	Prec@5 70.312 (68.240)
Epoch: [77][4470/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.6656 (2.5426)	Prec@1 36.719 (38.390)	Prec@5 67.578 (68.239)
Epoch: [77][4480/7045]	Time 0.103 (0.239)	Data 0.050 (0.176)	Loss 2.5031 (2.5425)	Prec@1 39.844 (38.390)	Prec@5 67.578 (68.239)
Epoch: [77][4490/7045]	Time 0.102 (0.239)	Data 0.005 (0.176)	Loss 2.2869 (2.5424)	Prec@1 44.141 (38.389)	Prec@5 74.219 (68.240)
Epoch: [77][4500/7045]	Time 0.124 (0.239)	Data 0.071 (0.176)	Loss 2.5837 (2.5424)	Prec@1 37.500 (38.391)	Prec@5 69.922 (68.240)
Epoch: [77][4510/7045]	Time 0.101 (0.239)	Data 0.001 (0.176)	Loss 2.4157 (2.5423)	Prec@1 39.844 (38.394)	Prec@5 72.266 (68.243)
Epoch: [77][4520/7045]	Time 0.185 (0.239)	Data 0.132 (0.176)	Loss 2.3989 (2.5422)	Prec@1 41.797 (38.397)	Prec@5 70.703 (68.247)
Epoch: [77][4530/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.4833 (2.5421)	Prec@1 44.531 (38.399)	Prec@5 69.141 (68.245)
Epoch: [77][4540/7045]	Time 0.207 (0.239)	Data 0.155 (0.176)	Loss 2.6248 (2.5421)	Prec@1 34.766 (38.400)	Prec@5 62.500 (68.244)
Epoch: [77][4550/7045]	Time 0.102 (0.239)	Data 0.002 (0.176)	Loss 2.5249 (2.5421)	Prec@1 37.500 (38.401)	Prec@5 66.797 (68.243)
Epoch: [77][4560/7045]	Time 0.256 (0.239)	Data 0.204 (0.176)	Loss 2.5164 (2.5420)	Prec@1 39.062 (38.402)	Prec@5 69.922 (68.245)
Epoch: [77][4570/7045]	Time 0.101 (0.239)	Data 0.044 (0.176)	Loss 2.4729 (2.5421)	Prec@1 41.797 (38.400)	Prec@5 67.188 (68.241)
Epoch: [77][4580/7045]	Time 0.242 (0.239)	Data 0.189 (0.176)	Loss 2.7091 (2.5421)	Prec@1 31.250 (38.399)	Prec@5 61.719 (68.240)
Epoch: [77][4590/7045]	Time 0.109 (0.239)	Data 0.056 (0.176)	Loss 2.5059 (2.5420)	Prec@1 39.844 (38.401)	Prec@5 73.438 (68.242)
Epoch: [77][4600/7045]	Time 0.297 (0.239)	Data 0.246 (0.176)	Loss 2.4687 (2.5420)	Prec@1 37.891 (38.401)	Prec@5 69.922 (68.241)
Epoch: [77][4610/7045]	Time 0.102 (0.239)	Data 0.002 (0.176)	Loss 2.6594 (2.5420)	Prec@1 37.109 (38.402)	Prec@5 66.406 (68.240)
Epoch: [77][4620/7045]	Time 0.361 (0.239)	Data 0.308 (0.176)	Loss 2.5149 (2.5419)	Prec@1 37.500 (38.404)	Prec@5 65.625 (68.240)
Epoch: [77][4630/7045]	Time 0.133 (0.239)	Data 0.080 (0.176)	Loss 2.3882 (2.5419)	Prec@1 42.578 (38.406)	Prec@5 71.094 (68.240)
Epoch: [77][4640/7045]	Time 0.451 (0.239)	Data 0.399 (0.177)	Loss 2.7437 (2.5419)	Prec@1 36.719 (38.407)	Prec@5 66.016 (68.239)
Epoch: [77][4650/7045]	Time 0.102 (0.239)	Data 0.044 (0.176)	Loss 2.5532 (2.5419)	Prec@1 36.328 (38.404)	Prec@5 66.797 (68.239)
Epoch: [77][4660/7045]	Time 0.585 (0.239)	Data 0.533 (0.177)	Loss 2.4016 (2.5420)	Prec@1 37.891 (38.401)	Prec@5 69.922 (68.237)
Epoch: [77][4670/7045]	Time 0.103 (0.239)	Data 0.050 (0.176)	Loss 2.4918 (2.5421)	Prec@1 41.016 (38.400)	Prec@5 68.750 (68.235)
Epoch: [77][4680/7045]	Time 0.635 (0.239)	Data 0.582 (0.177)	Loss 2.6818 (2.5420)	Prec@1 34.375 (38.401)	Prec@5 66.406 (68.237)
Epoch: [77][4690/7045]	Time 0.114 (0.239)	Data 0.055 (0.176)	Loss 2.5937 (2.5421)	Prec@1 35.547 (38.399)	Prec@5 67.188 (68.238)
Epoch: [77][4700/7045]	Time 0.615 (0.239)	Data 0.563 (0.176)	Loss 2.6321 (2.5420)	Prec@1 36.328 (38.401)	Prec@5 66.016 (68.241)
Epoch: [77][4710/7045]	Time 0.158 (0.239)	Data 0.106 (0.176)	Loss 2.3188 (2.5419)	Prec@1 43.359 (38.401)	Prec@5 72.266 (68.242)
Epoch: [77][4720/7045]	Time 0.588 (0.239)	Data 0.536 (0.176)	Loss 2.5605 (2.5418)	Prec@1 40.625 (38.403)	Prec@5 66.406 (68.244)
Epoch: [77][4730/7045]	Time 0.186 (0.239)	Data 0.134 (0.176)	Loss 2.3996 (2.5417)	Prec@1 42.188 (38.403)	Prec@5 73.047 (68.243)
Epoch: [77][4740/7045]	Time 0.549 (0.239)	Data 0.498 (0.176)	Loss 2.6798 (2.5416)	Prec@1 39.844 (38.407)	Prec@5 62.891 (68.244)
Epoch: [77][4750/7045]	Time 0.133 (0.239)	Data 0.076 (0.176)	Loss 2.6541 (2.5416)	Prec@1 41.797 (38.409)	Prec@5 64.062 (68.245)
Epoch: [77][4760/7045]	Time 0.517 (0.239)	Data 0.466 (0.176)	Loss 2.5270 (2.5416)	Prec@1 39.844 (38.410)	Prec@5 68.750 (68.246)
Epoch: [77][4770/7045]	Time 0.110 (0.239)	Data 0.002 (0.176)	Loss 2.5819 (2.5417)	Prec@1 37.500 (38.406)	Prec@5 66.406 (68.243)
Epoch: [77][4780/7045]	Time 0.507 (0.239)	Data 0.453 (0.176)	Loss 2.8527 (2.5418)	Prec@1 30.469 (38.405)	Prec@5 60.547 (68.241)
Epoch: [77][4790/7045]	Time 0.108 (0.239)	Data 0.003 (0.176)	Loss 2.5796 (2.5418)	Prec@1 40.625 (38.406)	Prec@5 65.625 (68.242)
Epoch: [77][4800/7045]	Time 0.468 (0.239)	Data 0.415 (0.176)	Loss 2.7764 (2.5419)	Prec@1 37.500 (38.406)	Prec@5 62.500 (68.238)
Epoch: [77][4810/7045]	Time 0.102 (0.239)	Data 0.004 (0.176)	Loss 2.5201 (2.5420)	Prec@1 37.109 (38.406)	Prec@5 66.797 (68.236)
Epoch: [77][4820/7045]	Time 0.403 (0.239)	Data 0.352 (0.176)	Loss 2.6578 (2.5420)	Prec@1 36.328 (38.405)	Prec@5 67.969 (68.235)
Epoch: [77][4830/7045]	Time 0.102 (0.239)	Data 0.045 (0.176)	Loss 2.6638 (2.5419)	Prec@1 33.594 (38.408)	Prec@5 64.062 (68.237)
Epoch: [77][4840/7045]	Time 0.330 (0.239)	Data 0.278 (0.176)	Loss 2.5723 (2.5418)	Prec@1 39.844 (38.410)	Prec@5 68.359 (68.239)
Epoch: [77][4850/7045]	Time 0.139 (0.239)	Data 0.086 (0.176)	Loss 2.5789 (2.5419)	Prec@1 39.844 (38.410)	Prec@5 66.406 (68.236)
Epoch: [77][4860/7045]	Time 0.331 (0.239)	Data 0.278 (0.176)	Loss 2.4271 (2.5420)	Prec@1 41.016 (38.409)	Prec@5 70.312 (68.235)
Epoch: [77][4870/7045]	Time 0.173 (0.239)	Data 0.121 (0.176)	Loss 2.3997 (2.5419)	Prec@1 43.750 (38.411)	Prec@5 73.438 (68.236)
Epoch: [77][4880/7045]	Time 0.304 (0.239)	Data 0.252 (0.176)	Loss 2.6099 (2.5419)	Prec@1 37.500 (38.411)	Prec@5 66.016 (68.236)
Epoch: [77][4890/7045]	Time 0.182 (0.239)	Data 0.129 (0.176)	Loss 2.7317 (2.5421)	Prec@1 32.031 (38.409)	Prec@5 65.625 (68.234)
Epoch: [77][4900/7045]	Time 0.226 (0.239)	Data 0.173 (0.177)	Loss 2.5307 (2.5422)	Prec@1 41.406 (38.407)	Prec@5 66.406 (68.232)
Epoch: [77][4910/7045]	Time 0.295 (0.239)	Data 0.243 (0.177)	Loss 2.3521 (2.5422)	Prec@1 42.969 (38.407)	Prec@5 71.094 (68.232)
Epoch: [77][4920/7045]	Time 0.148 (0.239)	Data 0.097 (0.177)	Loss 2.6494 (2.5422)	Prec@1 37.109 (38.407)	Prec@5 64.844 (68.232)
Epoch: [77][4930/7045]	Time 0.381 (0.239)	Data 0.329 (0.177)	Loss 2.2639 (2.5421)	Prec@1 40.234 (38.409)	Prec@5 74.219 (68.233)
Epoch: [77][4940/7045]	Time 0.138 (0.239)	Data 0.079 (0.177)	Loss 2.6420 (2.5422)	Prec@1 36.328 (38.409)	Prec@5 67.188 (68.232)
Epoch: [77][4950/7045]	Time 0.415 (0.239)	Data 0.362 (0.177)	Loss 2.6710 (2.5423)	Prec@1 34.766 (38.408)	Prec@5 68.750 (68.230)
Epoch: [77][4960/7045]	Time 0.152 (0.239)	Data 0.101 (0.177)	Loss 2.5765 (2.5424)	Prec@1 35.156 (38.405)	Prec@5 69.922 (68.228)
Epoch: [77][4970/7045]	Time 0.423 (0.239)	Data 0.371 (0.177)	Loss 2.5000 (2.5423)	Prec@1 35.547 (38.405)	Prec@5 68.359 (68.230)
Epoch: [77][4980/7045]	Time 0.104 (0.239)	Data 0.051 (0.177)	Loss 2.5663 (2.5423)	Prec@1 37.109 (38.406)	Prec@5 67.578 (68.230)
Epoch: [77][4990/7045]	Time 0.486 (0.239)	Data 0.434 (0.177)	Loss 2.3539 (2.5423)	Prec@1 44.531 (38.407)	Prec@5 72.266 (68.232)
Epoch: [77][5000/7045]	Time 0.100 (0.239)	Data 0.004 (0.177)	Loss 2.5186 (2.5423)	Prec@1 39.844 (38.407)	Prec@5 69.922 (68.232)
Epoch: [77][5010/7045]	Time 0.447 (0.239)	Data 0.396 (0.177)	Loss 2.5834 (2.5423)	Prec@1 38.281 (38.406)	Prec@5 66.406 (68.232)
Epoch: [77][5020/7045]	Time 0.110 (0.239)	Data 0.057 (0.176)	Loss 2.4788 (2.5422)	Prec@1 39.453 (38.409)	Prec@5 72.656 (68.231)
Epoch: [77][5030/7045]	Time 0.528 (0.239)	Data 0.477 (0.176)	Loss 2.4906 (2.5422)	Prec@1 40.625 (38.411)	Prec@5 68.359 (68.232)
Epoch: [77][5040/7045]	Time 0.101 (0.239)	Data 0.006 (0.176)	Loss 2.5877 (2.5422)	Prec@1 35.547 (38.411)	Prec@5 68.359 (68.233)
Epoch: [77][5050/7045]	Time 0.503 (0.239)	Data 0.450 (0.176)	Loss 2.5302 (2.5423)	Prec@1 41.406 (38.411)	Prec@5 69.922 (68.230)
Epoch: [77][5060/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.5272 (2.5423)	Prec@1 37.500 (38.411)	Prec@5 70.703 (68.230)
Epoch: [77][5070/7045]	Time 0.814 (0.239)	Data 0.755 (0.176)	Loss 2.5633 (2.5423)	Prec@1 37.891 (38.412)	Prec@5 70.703 (68.231)
Epoch: [77][5080/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.5136 (2.5422)	Prec@1 38.281 (38.413)	Prec@5 64.453 (68.228)
Epoch: [77][5090/7045]	Time 0.621 (0.239)	Data 0.569 (0.176)	Loss 2.6296 (2.5423)	Prec@1 37.891 (38.409)	Prec@5 69.141 (68.226)
Epoch: [77][5100/7045]	Time 0.102 (0.239)	Data 0.002 (0.176)	Loss 2.6330 (2.5423)	Prec@1 39.844 (38.411)	Prec@5 68.750 (68.227)
Epoch: [77][5110/7045]	Time 0.555 (0.239)	Data 0.503 (0.176)	Loss 2.6894 (2.5424)	Prec@1 34.766 (38.411)	Prec@5 64.062 (68.226)
Epoch: [77][5120/7045]	Time 0.102 (0.239)	Data 0.003 (0.176)	Loss 2.4280 (2.5424)	Prec@1 44.531 (38.414)	Prec@5 72.266 (68.228)
Epoch: [77][5130/7045]	Time 0.431 (0.239)	Data 0.379 (0.176)	Loss 2.4501 (2.5422)	Prec@1 41.797 (38.417)	Prec@5 69.531 (68.230)
Epoch: [77][5140/7045]	Time 0.102 (0.239)	Data 0.004 (0.176)	Loss 2.5314 (2.5422)	Prec@1 39.844 (38.418)	Prec@5 65.625 (68.230)
Epoch: [77][5150/7045]	Time 0.392 (0.239)	Data 0.339 (0.176)	Loss 2.4485 (2.5424)	Prec@1 39.844 (38.417)	Prec@5 67.188 (68.228)
Epoch: [77][5160/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.4554 (2.5422)	Prec@1 42.188 (38.421)	Prec@5 71.094 (68.232)
Epoch: [77][5170/7045]	Time 0.319 (0.239)	Data 0.266 (0.176)	Loss 2.3397 (2.5423)	Prec@1 41.406 (38.420)	Prec@5 72.266 (68.232)
Epoch: [77][5180/7045]	Time 0.102 (0.239)	Data 0.003 (0.176)	Loss 2.4168 (2.5422)	Prec@1 40.625 (38.423)	Prec@5 69.141 (68.234)
Epoch: [77][5190/7045]	Time 0.333 (0.239)	Data 0.282 (0.176)	Loss 2.4699 (2.5422)	Prec@1 42.969 (38.423)	Prec@5 69.141 (68.234)
Epoch: [77][5200/7045]	Time 0.101 (0.239)	Data 0.003 (0.176)	Loss 2.4741 (2.5421)	Prec@1 33.984 (38.422)	Prec@5 69.141 (68.234)
Epoch: [77][5210/7045]	Time 0.238 (0.239)	Data 0.186 (0.176)	Loss 2.6074 (2.5420)	Prec@1 37.109 (38.423)	Prec@5 67.188 (68.236)
Epoch: [77][5220/7045]	Time 0.157 (0.239)	Data 0.104 (0.176)	Loss 2.4899 (2.5421)	Prec@1 39.062 (38.422)	Prec@5 69.922 (68.234)
Epoch: [77][5230/7045]	Time 0.156 (0.239)	Data 0.104 (0.176)	Loss 2.7465 (2.5421)	Prec@1 37.891 (38.423)	Prec@5 64.844 (68.233)
Epoch: [77][5240/7045]	Time 0.173 (0.239)	Data 0.121 (0.176)	Loss 2.6023 (2.5421)	Prec@1 35.156 (38.424)	Prec@5 65.234 (68.236)
Epoch: [77][5250/7045]	Time 0.101 (0.239)	Data 0.005 (0.176)	Loss 2.4498 (2.5421)	Prec@1 41.797 (38.427)	Prec@5 69.141 (68.236)
Epoch: [77][5260/7045]	Time 0.259 (0.239)	Data 0.207 (0.176)	Loss 2.5363 (2.5419)	Prec@1 36.328 (38.427)	Prec@5 69.531 (68.238)
Epoch: [77][5270/7045]	Time 0.108 (0.239)	Data 0.054 (0.176)	Loss 2.5509 (2.5421)	Prec@1 38.672 (38.426)	Prec@5 69.531 (68.236)
Epoch: [77][5280/7045]	Time 0.330 (0.239)	Data 0.278 (0.176)	Loss 2.4432 (2.5421)	Prec@1 38.672 (38.427)	Prec@5 69.531 (68.236)
Epoch: [77][5290/7045]	Time 0.100 (0.239)	Data 0.045 (0.176)	Loss 2.7310 (2.5423)	Prec@1 34.375 (38.423)	Prec@5 67.578 (68.231)
Epoch: [77][5300/7045]	Time 0.368 (0.239)	Data 0.317 (0.176)	Loss 2.5367 (2.5424)	Prec@1 37.500 (38.420)	Prec@5 69.141 (68.230)
Epoch: [77][5310/7045]	Time 0.101 (0.239)	Data 0.044 (0.176)	Loss 2.5583 (2.5423)	Prec@1 43.750 (38.422)	Prec@5 65.625 (68.230)
Epoch: [77][5320/7045]	Time 0.434 (0.239)	Data 0.382 (0.176)	Loss 2.5313 (2.5423)	Prec@1 39.062 (38.422)	Prec@5 66.016 (68.231)
Epoch: [77][5330/7045]	Time 0.146 (0.239)	Data 0.092 (0.176)	Loss 2.3620 (2.5423)	Prec@1 38.672 (38.424)	Prec@5 75.391 (68.234)
Epoch: [77][5340/7045]	Time 0.508 (0.239)	Data 0.449 (0.176)	Loss 2.5973 (2.5423)	Prec@1 36.328 (38.422)	Prec@5 63.281 (68.233)
Epoch: [77][5350/7045]	Time 0.168 (0.239)	Data 0.116 (0.176)	Loss 2.2923 (2.5422)	Prec@1 41.797 (38.424)	Prec@5 71.094 (68.235)
Epoch: [77][5360/7045]	Time 0.513 (0.239)	Data 0.461 (0.176)	Loss 2.4917 (2.5421)	Prec@1 41.016 (38.425)	Prec@5 68.750 (68.235)
Epoch: [77][5370/7045]	Time 0.220 (0.239)	Data 0.162 (0.176)	Loss 2.4701 (2.5422)	Prec@1 36.719 (38.424)	Prec@5 69.141 (68.233)
Epoch: [77][5380/7045]	Time 0.520 (0.239)	Data 0.467 (0.176)	Loss 2.4971 (2.5422)	Prec@1 35.547 (38.422)	Prec@5 70.312 (68.233)
Epoch: [77][5390/7045]	Time 0.233 (0.239)	Data 0.175 (0.176)	Loss 2.4729 (2.5422)	Prec@1 38.672 (38.420)	Prec@5 70.703 (68.231)
Epoch: [77][5400/7045]	Time 0.484 (0.239)	Data 0.432 (0.176)	Loss 2.7674 (2.5423)	Prec@1 36.328 (38.421)	Prec@5 62.500 (68.230)
Epoch: [77][5410/7045]	Time 0.282 (0.239)	Data 0.225 (0.176)	Loss 2.5163 (2.5423)	Prec@1 37.500 (38.421)	Prec@5 64.844 (68.230)
Epoch: [77][5420/7045]	Time 0.427 (0.239)	Data 0.370 (0.176)	Loss 2.4447 (2.5423)	Prec@1 41.406 (38.419)	Prec@5 67.969 (68.230)
Epoch: [77][5430/7045]	Time 0.326 (0.239)	Data 0.274 (0.176)	Loss 2.4506 (2.5422)	Prec@1 40.625 (38.420)	Prec@5 70.312 (68.231)
Epoch: [77][5440/7045]	Time 0.314 (0.239)	Data 0.262 (0.176)	Loss 2.6364 (2.5422)	Prec@1 35.547 (38.421)	Prec@5 67.969 (68.231)
Epoch: [77][5450/7045]	Time 0.313 (0.239)	Data 0.261 (0.176)	Loss 2.6511 (2.5423)	Prec@1 36.719 (38.421)	Prec@5 69.141 (68.231)
Epoch: [77][5460/7045]	Time 0.308 (0.239)	Data 0.256 (0.176)	Loss 2.5287 (2.5422)	Prec@1 41.797 (38.422)	Prec@5 67.969 (68.232)
Epoch: [77][5470/7045]	Time 0.274 (0.239)	Data 0.223 (0.176)	Loss 2.5413 (2.5422)	Prec@1 39.844 (38.422)	Prec@5 67.188 (68.233)
Epoch: [77][5480/7045]	Time 0.304 (0.239)	Data 0.252 (0.176)	Loss 2.7183 (2.5422)	Prec@1 36.328 (38.422)	Prec@5 66.016 (68.232)
Epoch: [77][5490/7045]	Time 0.289 (0.239)	Data 0.237 (0.176)	Loss 2.3660 (2.5421)	Prec@1 42.969 (38.424)	Prec@5 69.141 (68.234)
Epoch: [77][5500/7045]	Time 0.267 (0.239)	Data 0.215 (0.176)	Loss 2.4501 (2.5422)	Prec@1 38.281 (38.424)	Prec@5 70.312 (68.234)
Epoch: [77][5510/7045]	Time 0.216 (0.239)	Data 0.157 (0.176)	Loss 2.7456 (2.5422)	Prec@1 35.156 (38.423)	Prec@5 66.797 (68.235)
Epoch: [77][5520/7045]	Time 0.152 (0.239)	Data 0.100 (0.176)	Loss 2.6248 (2.5422)	Prec@1 37.891 (38.425)	Prec@5 67.578 (68.236)
Epoch: [77][5530/7045]	Time 0.102 (0.239)	Data 0.005 (0.176)	Loss 2.3343 (2.5421)	Prec@1 38.672 (38.426)	Prec@5 75.000 (68.239)
Epoch: [77][5540/7045]	Time 0.102 (0.239)	Data 0.005 (0.176)	Loss 2.5580 (2.5421)	Prec@1 37.109 (38.425)	Prec@5 67.578 (68.240)
Epoch: [77][5550/7045]	Time 0.111 (0.239)	Data 0.059 (0.176)	Loss 2.4847 (2.5422)	Prec@1 42.578 (38.423)	Prec@5 71.094 (68.239)
Epoch: [77][5560/7045]	Time 0.206 (0.239)	Data 0.155 (0.176)	Loss 2.6761 (2.5421)	Prec@1 35.156 (38.425)	Prec@5 66.016 (68.238)
Epoch: [77][5570/7045]	Time 0.102 (0.239)	Data 0.006 (0.176)	Loss 2.4775 (2.5421)	Prec@1 40.625 (38.425)	Prec@5 69.141 (68.238)
Epoch: [77][5580/7045]	Time 0.278 (0.239)	Data 0.226 (0.176)	Loss 2.5010 (2.5421)	Prec@1 41.406 (38.425)	Prec@5 70.703 (68.238)
Epoch: [77][5590/7045]	Time 0.109 (0.239)	Data 0.007 (0.176)	Loss 2.3164 (2.5419)	Prec@1 47.266 (38.429)	Prec@5 72.266 (68.242)
Epoch: [77][5600/7045]	Time 0.271 (0.239)	Data 0.220 (0.176)	Loss 2.6267 (2.5419)	Prec@1 36.328 (38.426)	Prec@5 68.359 (68.244)
Epoch: [77][5610/7045]	Time 0.158 (0.239)	Data 0.105 (0.176)	Loss 2.8792 (2.5420)	Prec@1 33.203 (38.427)	Prec@5 61.328 (68.242)
Epoch: [77][5620/7045]	Time 0.313 (0.239)	Data 0.261 (0.176)	Loss 2.5298 (2.5420)	Prec@1 38.672 (38.426)	Prec@5 66.406 (68.241)
Epoch: [77][5630/7045]	Time 0.157 (0.239)	Data 0.104 (0.176)	Loss 2.7171 (2.5421)	Prec@1 30.859 (38.424)	Prec@5 63.672 (68.238)
Epoch: [77][5640/7045]	Time 0.323 (0.239)	Data 0.271 (0.176)	Loss 2.3856 (2.5420)	Prec@1 38.281 (38.427)	Prec@5 71.094 (68.240)
Epoch: [77][5650/7045]	Time 0.107 (0.239)	Data 0.054 (0.176)	Loss 2.4371 (2.5419)	Prec@1 39.453 (38.428)	Prec@5 71.875 (68.242)
Epoch: [77][5660/7045]	Time 0.299 (0.239)	Data 0.247 (0.176)	Loss 2.4150 (2.5420)	Prec@1 39.453 (38.427)	Prec@5 70.312 (68.242)
Epoch: [77][5670/7045]	Time 0.102 (0.239)	Data 0.044 (0.176)	Loss 2.6725 (2.5421)	Prec@1 41.406 (38.424)	Prec@5 66.406 (68.240)
Epoch: [77][5680/7045]	Time 0.314 (0.239)	Data 0.261 (0.176)	Loss 2.3803 (2.5421)	Prec@1 38.672 (38.423)	Prec@5 72.656 (68.239)
Epoch: [77][5690/7045]	Time 0.101 (0.239)	Data 0.001 (0.176)	Loss 2.7087 (2.5421)	Prec@1 38.281 (38.424)	Prec@5 64.844 (68.239)
Epoch: [77][5700/7045]	Time 0.299 (0.239)	Data 0.246 (0.176)	Loss 2.5276 (2.5420)	Prec@1 38.281 (38.425)	Prec@5 70.312 (68.241)
Epoch: [77][5710/7045]	Time 0.102 (0.239)	Data 0.005 (0.176)	Loss 2.3720 (2.5420)	Prec@1 42.188 (38.423)	Prec@5 71.484 (68.241)
Epoch: [77][5720/7045]	Time 0.275 (0.239)	Data 0.222 (0.176)	Loss 2.5892 (2.5420)	Prec@1 32.422 (38.426)	Prec@5 63.672 (68.242)
Epoch: [77][5730/7045]	Time 0.103 (0.239)	Data 0.001 (0.176)	Loss 2.6195 (2.5420)	Prec@1 34.766 (38.425)	Prec@5 66.797 (68.241)
Epoch: [77][5740/7045]	Time 0.357 (0.239)	Data 0.305 (0.176)	Loss 2.5117 (2.5420)	Prec@1 41.016 (38.428)	Prec@5 70.703 (68.239)
Epoch: [77][5750/7045]	Time 0.104 (0.239)	Data 0.051 (0.176)	Loss 2.5431 (2.5421)	Prec@1 43.750 (38.426)	Prec@5 66.797 (68.237)
Epoch: [77][5760/7045]	Time 0.270 (0.239)	Data 0.211 (0.176)	Loss 2.6806 (2.5421)	Prec@1 38.672 (38.427)	Prec@5 60.938 (68.235)
Epoch: [77][5770/7045]	Time 0.114 (0.239)	Data 0.061 (0.176)	Loss 2.4792 (2.5421)	Prec@1 37.500 (38.426)	Prec@5 72.656 (68.235)
Epoch: [77][5780/7045]	Time 0.150 (0.239)	Data 0.097 (0.176)	Loss 2.5820 (2.5421)	Prec@1 38.672 (38.425)	Prec@5 69.141 (68.234)
Epoch: [77][5790/7045]	Time 0.120 (0.239)	Data 0.068 (0.176)	Loss 2.5062 (2.5422)	Prec@1 40.234 (38.424)	Prec@5 67.578 (68.233)
Epoch: [77][5800/7045]	Time 0.107 (0.239)	Data 0.003 (0.176)	Loss 2.3543 (2.5423)	Prec@1 38.672 (38.421)	Prec@5 72.266 (68.233)
Epoch: [77][5810/7045]	Time 0.152 (0.239)	Data 0.099 (0.176)	Loss 2.6574 (2.5423)	Prec@1 35.938 (38.421)	Prec@5 65.625 (68.233)
Epoch: [77][5820/7045]	Time 0.102 (0.239)	Data 0.007 (0.176)	Loss 2.5039 (2.5424)	Prec@1 39.844 (38.422)	Prec@5 69.922 (68.232)
Epoch: [77][5830/7045]	Time 0.199 (0.239)	Data 0.146 (0.176)	Loss 2.5280 (2.5424)	Prec@1 34.375 (38.422)	Prec@5 70.703 (68.231)
Epoch: [77][5840/7045]	Time 0.107 (0.239)	Data 0.054 (0.176)	Loss 2.6100 (2.5424)	Prec@1 35.156 (38.422)	Prec@5 70.312 (68.232)
Epoch: [77][5850/7045]	Time 0.263 (0.239)	Data 0.212 (0.176)	Loss 2.4054 (2.5424)	Prec@1 38.281 (38.419)	Prec@5 71.484 (68.232)
Epoch: [77][5860/7045]	Time 0.111 (0.239)	Data 0.058 (0.176)	Loss 2.4455 (2.5425)	Prec@1 44.141 (38.420)	Prec@5 70.312 (68.230)
Epoch: [77][5870/7045]	Time 0.444 (0.239)	Data 0.391 (0.176)	Loss 2.6139 (2.5424)	Prec@1 35.938 (38.421)	Prec@5 68.359 (68.231)
Epoch: [77][5880/7045]	Time 0.146 (0.239)	Data 0.094 (0.176)	Loss 2.4763 (2.5424)	Prec@1 38.672 (38.420)	Prec@5 71.484 (68.232)
Epoch: [77][5890/7045]	Time 0.461 (0.239)	Data 0.410 (0.176)	Loss 2.5516 (2.5423)	Prec@1 38.672 (38.423)	Prec@5 67.969 (68.234)
Epoch: [77][5900/7045]	Time 0.171 (0.239)	Data 0.112 (0.176)	Loss 2.4154 (2.5423)	Prec@1 38.672 (38.424)	Prec@5 69.531 (68.232)
Epoch: [77][5910/7045]	Time 0.474 (0.239)	Data 0.422 (0.176)	Loss 2.5331 (2.5423)	Prec@1 37.500 (38.423)	Prec@5 67.969 (68.233)
Epoch: [77][5920/7045]	Time 0.168 (0.239)	Data 0.115 (0.176)	Loss 2.5902 (2.5424)	Prec@1 39.844 (38.423)	Prec@5 69.531 (68.232)
Epoch: [77][5930/7045]	Time 0.584 (0.239)	Data 0.534 (0.176)	Loss 2.5187 (2.5424)	Prec@1 36.328 (38.424)	Prec@5 67.188 (68.231)
Epoch: [77][5940/7045]	Time 0.111 (0.239)	Data 0.059 (0.176)	Loss 2.5984 (2.5424)	Prec@1 36.328 (38.425)	Prec@5 66.797 (68.234)
Epoch: [77][5950/7045]	Time 0.599 (0.239)	Data 0.546 (0.176)	Loss 2.4730 (2.5424)	Prec@1 41.016 (38.426)	Prec@5 70.703 (68.232)
Epoch: [77][5960/7045]	Time 0.106 (0.239)	Data 0.052 (0.176)	Loss 2.5647 (2.5425)	Prec@1 39.453 (38.426)	Prec@5 65.625 (68.231)
Epoch: [77][5970/7045]	Time 0.484 (0.239)	Data 0.425 (0.176)	Loss 2.6311 (2.5425)	Prec@1 35.547 (38.426)	Prec@5 66.797 (68.234)
Epoch: [77][5980/7045]	Time 0.112 (0.239)	Data 0.060 (0.176)	Loss 2.4697 (2.5424)	Prec@1 39.062 (38.426)	Prec@5 67.188 (68.235)
Epoch: [77][5990/7045]	Time 0.449 (0.239)	Data 0.397 (0.176)	Loss 2.4608 (2.5424)	Prec@1 39.453 (38.427)	Prec@5 69.141 (68.234)
Epoch: [77][6000/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.4664 (2.5423)	Prec@1 41.406 (38.427)	Prec@5 69.141 (68.236)
Epoch: [77][6010/7045]	Time 0.296 (0.239)	Data 0.244 (0.176)	Loss 2.4770 (2.5423)	Prec@1 43.750 (38.427)	Prec@5 68.750 (68.235)
Epoch: [77][6020/7045]	Time 0.101 (0.239)	Data 0.006 (0.176)	Loss 2.6216 (2.5423)	Prec@1 38.672 (38.427)	Prec@5 66.406 (68.236)
Epoch: [77][6030/7045]	Time 0.238 (0.239)	Data 0.185 (0.176)	Loss 2.7498 (2.5424)	Prec@1 35.547 (38.425)	Prec@5 64.062 (68.234)
Epoch: [77][6040/7045]	Time 0.102 (0.239)	Data 0.006 (0.176)	Loss 2.5372 (2.5424)	Prec@1 37.891 (38.425)	Prec@5 67.188 (68.234)
Epoch: [77][6050/7045]	Time 0.188 (0.239)	Data 0.136 (0.176)	Loss 2.6379 (2.5423)	Prec@1 39.844 (38.425)	Prec@5 64.844 (68.234)
Epoch: [77][6060/7045]	Time 0.108 (0.239)	Data 0.056 (0.176)	Loss 2.7108 (2.5424)	Prec@1 35.938 (38.425)	Prec@5 65.625 (68.232)
Epoch: [77][6070/7045]	Time 0.167 (0.239)	Data 0.115 (0.176)	Loss 2.4144 (2.5423)	Prec@1 38.672 (38.427)	Prec@5 73.438 (68.234)
Epoch: [77][6080/7045]	Time 0.184 (0.239)	Data 0.132 (0.176)	Loss 2.4814 (2.5423)	Prec@1 40.234 (38.428)	Prec@5 66.406 (68.236)
Epoch: [77][6090/7045]	Time 0.108 (0.239)	Data 0.054 (0.176)	Loss 2.6919 (2.5422)	Prec@1 37.109 (38.430)	Prec@5 65.625 (68.238)
Epoch: [77][6100/7045]	Time 0.239 (0.239)	Data 0.187 (0.176)	Loss 2.6037 (2.5422)	Prec@1 35.156 (38.429)	Prec@5 65.234 (68.236)
Epoch: [77][6110/7045]	Time 0.102 (0.239)	Data 0.005 (0.176)	Loss 2.3446 (2.5423)	Prec@1 39.453 (38.429)	Prec@5 69.922 (68.237)
Epoch: [77][6120/7045]	Time 0.283 (0.239)	Data 0.231 (0.176)	Loss 2.6378 (2.5424)	Prec@1 36.719 (38.428)	Prec@5 63.281 (68.233)
Epoch: [77][6130/7045]	Time 0.101 (0.239)	Data 0.006 (0.176)	Loss 2.6971 (2.5424)	Prec@1 35.547 (38.428)	Prec@5 65.234 (68.233)
Epoch: [77][6140/7045]	Time 0.319 (0.239)	Data 0.266 (0.176)	Loss 2.4514 (2.5423)	Prec@1 35.156 (38.428)	Prec@5 71.094 (68.233)
Epoch: [77][6150/7045]	Time 0.140 (0.239)	Data 0.087 (0.176)	Loss 2.4503 (2.5422)	Prec@1 37.109 (38.431)	Prec@5 67.969 (68.235)
Epoch: [77][6160/7045]	Time 0.479 (0.239)	Data 0.427 (0.176)	Loss 2.7685 (2.5422)	Prec@1 36.328 (38.432)	Prec@5 66.406 (68.237)
Epoch: [77][6170/7045]	Time 0.149 (0.239)	Data 0.097 (0.176)	Loss 2.4875 (2.5422)	Prec@1 38.672 (38.432)	Prec@5 69.922 (68.237)
Epoch: [77][6180/7045]	Time 0.422 (0.239)	Data 0.364 (0.176)	Loss 2.6379 (2.5423)	Prec@1 35.938 (38.430)	Prec@5 67.969 (68.235)
Epoch: [77][6190/7045]	Time 0.258 (0.239)	Data 0.206 (0.176)	Loss 2.4069 (2.5422)	Prec@1 42.188 (38.430)	Prec@5 69.141 (68.236)
Epoch: [77][6200/7045]	Time 0.408 (0.239)	Data 0.356 (0.176)	Loss 2.7082 (2.5421)	Prec@1 30.859 (38.430)	Prec@5 65.625 (68.238)
Epoch: [77][6210/7045]	Time 0.235 (0.239)	Data 0.184 (0.176)	Loss 2.4236 (2.5421)	Prec@1 37.109 (38.430)	Prec@5 71.094 (68.240)
Epoch: [77][6220/7045]	Time 0.285 (0.239)	Data 0.233 (0.176)	Loss 2.3881 (2.5421)	Prec@1 41.797 (38.432)	Prec@5 71.875 (68.240)
Epoch: [77][6230/7045]	Time 0.220 (0.239)	Data 0.168 (0.176)	Loss 2.3689 (2.5421)	Prec@1 40.234 (38.432)	Prec@5 69.531 (68.240)
Epoch: [77][6240/7045]	Time 0.189 (0.239)	Data 0.138 (0.176)	Loss 2.6086 (2.5421)	Prec@1 34.766 (38.433)	Prec@5 65.625 (68.240)
Epoch: [77][6250/7045]	Time 0.263 (0.239)	Data 0.204 (0.176)	Loss 2.6740 (2.5421)	Prec@1 38.672 (38.433)	Prec@5 65.234 (68.239)
Epoch: [77][6260/7045]	Time 0.176 (0.239)	Data 0.124 (0.176)	Loss 2.4826 (2.5421)	Prec@1 40.234 (38.434)	Prec@5 66.797 (68.238)
Epoch: [77][6270/7045]	Time 0.251 (0.239)	Data 0.193 (0.177)	Loss 2.6603 (2.5422)	Prec@1 31.250 (38.433)	Prec@5 64.844 (68.237)
Epoch: [77][6280/7045]	Time 0.126 (0.239)	Data 0.074 (0.176)	Loss 2.7322 (2.5421)	Prec@1 35.938 (38.435)	Prec@5 62.891 (68.237)
Epoch: [77][6290/7045]	Time 0.272 (0.239)	Data 0.221 (0.177)	Loss 2.4613 (2.5422)	Prec@1 43.750 (38.434)	Prec@5 69.922 (68.236)
Epoch: [77][6300/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.4571 (2.5422)	Prec@1 39.453 (38.435)	Prec@5 68.359 (68.237)
Epoch: [77][6310/7045]	Time 0.227 (0.239)	Data 0.175 (0.176)	Loss 2.6105 (2.5423)	Prec@1 37.109 (38.436)	Prec@5 64.453 (68.235)
Epoch: [77][6320/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.5503 (2.5424)	Prec@1 38.281 (38.432)	Prec@5 67.188 (68.234)
Epoch: [77][6330/7045]	Time 0.235 (0.239)	Data 0.184 (0.176)	Loss 2.6342 (2.5424)	Prec@1 41.016 (38.434)	Prec@5 68.750 (68.235)
Epoch: [77][6340/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.5742 (2.5425)	Prec@1 37.500 (38.431)	Prec@5 67.578 (68.234)
Epoch: [77][6350/7045]	Time 0.103 (0.239)	Data 0.001 (0.176)	Loss 2.6188 (2.5425)	Prec@1 37.891 (38.430)	Prec@5 66.797 (68.232)
Epoch: [77][6360/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.4536 (2.5425)	Prec@1 41.016 (38.432)	Prec@5 69.922 (68.234)
Epoch: [77][6370/7045]	Time 0.102 (0.239)	Data 0.002 (0.176)	Loss 2.6632 (2.5425)	Prec@1 33.594 (38.430)	Prec@5 68.359 (68.234)
Epoch: [77][6380/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.5808 (2.5425)	Prec@1 36.328 (38.429)	Prec@5 64.453 (68.233)
Epoch: [77][6390/7045]	Time 0.107 (0.239)	Data 0.001 (0.176)	Loss 2.6243 (2.5426)	Prec@1 37.891 (38.429)	Prec@5 64.844 (68.232)
Epoch: [77][6400/7045]	Time 0.101 (0.239)	Data 0.001 (0.176)	Loss 2.5813 (2.5425)	Prec@1 37.891 (38.429)	Prec@5 69.531 (68.234)
Epoch: [77][6410/7045]	Time 0.207 (0.239)	Data 0.156 (0.176)	Loss 2.5242 (2.5425)	Prec@1 41.797 (38.430)	Prec@5 69.141 (68.233)
Epoch: [77][6420/7045]	Time 0.103 (0.239)	Data 0.001 (0.176)	Loss 2.6331 (2.5426)	Prec@1 36.328 (38.428)	Prec@5 66.016 (68.231)
Epoch: [77][6430/7045]	Time 0.141 (0.239)	Data 0.089 (0.176)	Loss 2.7472 (2.5427)	Prec@1 32.812 (38.427)	Prec@5 64.062 (68.230)
Epoch: [77][6440/7045]	Time 0.110 (0.239)	Data 0.057 (0.176)	Loss 2.4677 (2.5426)	Prec@1 37.109 (38.428)	Prec@5 69.141 (68.231)
Epoch: [77][6450/7045]	Time 0.189 (0.239)	Data 0.138 (0.176)	Loss 2.6089 (2.5426)	Prec@1 37.500 (38.426)	Prec@5 66.016 (68.231)
Epoch: [77][6460/7045]	Time 0.107 (0.239)	Data 0.054 (0.176)	Loss 2.6004 (2.5427)	Prec@1 39.062 (38.425)	Prec@5 66.016 (68.230)
Epoch: [77][6470/7045]	Time 0.243 (0.239)	Data 0.192 (0.176)	Loss 2.7366 (2.5427)	Prec@1 32.422 (38.425)	Prec@5 66.406 (68.230)
Epoch: [77][6480/7045]	Time 0.132 (0.239)	Data 0.079 (0.176)	Loss 2.7200 (2.5427)	Prec@1 35.938 (38.426)	Prec@5 66.016 (68.230)
Epoch: [77][6490/7045]	Time 0.291 (0.239)	Data 0.239 (0.176)	Loss 2.4967 (2.5427)	Prec@1 35.156 (38.426)	Prec@5 71.484 (68.229)
Epoch: [77][6500/7045]	Time 0.166 (0.239)	Data 0.114 (0.176)	Loss 2.7381 (2.5428)	Prec@1 35.938 (38.424)	Prec@5 66.016 (68.229)
Epoch: [77][6510/7045]	Time 0.305 (0.239)	Data 0.253 (0.176)	Loss 2.6885 (2.5427)	Prec@1 33.203 (38.425)	Prec@5 64.062 (68.231)
Epoch: [77][6520/7045]	Time 0.207 (0.239)	Data 0.155 (0.176)	Loss 2.4913 (2.5427)	Prec@1 39.844 (38.428)	Prec@5 69.141 (68.232)
Epoch: [77][6530/7045]	Time 0.394 (0.239)	Data 0.336 (0.176)	Loss 2.5046 (2.5428)	Prec@1 37.891 (38.427)	Prec@5 70.312 (68.230)
Epoch: [77][6540/7045]	Time 0.189 (0.239)	Data 0.138 (0.176)	Loss 2.5741 (2.5428)	Prec@1 39.062 (38.428)	Prec@5 67.578 (68.229)
Epoch: [77][6550/7045]	Time 0.426 (0.239)	Data 0.374 (0.176)	Loss 2.4446 (2.5427)	Prec@1 39.844 (38.428)	Prec@5 69.141 (68.230)
Epoch: [77][6560/7045]	Time 0.148 (0.239)	Data 0.096 (0.176)	Loss 2.5240 (2.5427)	Prec@1 40.625 (38.430)	Prec@5 69.922 (68.233)
Epoch: [77][6570/7045]	Time 0.470 (0.239)	Data 0.418 (0.176)	Loss 2.7379 (2.5427)	Prec@1 35.938 (38.429)	Prec@5 64.062 (68.232)
Epoch: [77][6580/7045]	Time 0.156 (0.239)	Data 0.103 (0.176)	Loss 2.2557 (2.5427)	Prec@1 43.750 (38.429)	Prec@5 72.656 (68.231)
Epoch: [77][6590/7045]	Time 0.498 (0.239)	Data 0.446 (0.176)	Loss 2.6203 (2.5427)	Prec@1 39.062 (38.427)	Prec@5 68.359 (68.230)
Epoch: [77][6600/7045]	Time 0.238 (0.239)	Data 0.180 (0.176)	Loss 2.6227 (2.5427)	Prec@1 34.766 (38.426)	Prec@5 67.969 (68.229)
Epoch: [77][6610/7045]	Time 0.542 (0.239)	Data 0.490 (0.176)	Loss 2.5245 (2.5428)	Prec@1 39.453 (38.426)	Prec@5 68.750 (68.229)
Epoch: [77][6620/7045]	Time 0.209 (0.239)	Data 0.156 (0.176)	Loss 2.5552 (2.5428)	Prec@1 38.672 (38.428)	Prec@5 66.797 (68.228)
Epoch: [77][6630/7045]	Time 0.329 (0.239)	Data 0.278 (0.176)	Loss 2.6140 (2.5427)	Prec@1 35.156 (38.427)	Prec@5 66.016 (68.229)
Epoch: [77][6640/7045]	Time 0.102 (0.239)	Data 0.006 (0.176)	Loss 2.6907 (2.5428)	Prec@1 38.672 (38.427)	Prec@5 64.062 (68.227)
Epoch: [77][6650/7045]	Time 0.202 (0.239)	Data 0.144 (0.176)	Loss 2.7197 (2.5428)	Prec@1 33.984 (38.426)	Prec@5 63.281 (68.226)
Epoch: [77][6660/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.4546 (2.5428)	Prec@1 39.844 (38.427)	Prec@5 71.094 (68.227)
Epoch: [77][6670/7045]	Time 0.262 (0.239)	Data 0.211 (0.176)	Loss 2.3362 (2.5427)	Prec@1 40.625 (38.429)	Prec@5 71.875 (68.230)
Epoch: [77][6680/7045]	Time 0.481 (0.239)	Data 0.429 (0.176)	Loss 2.5126 (2.5427)	Prec@1 35.938 (38.427)	Prec@5 68.750 (68.231)
Epoch: [77][6690/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.6004 (2.5427)	Prec@1 36.719 (38.426)	Prec@5 67.188 (68.231)
Epoch: [77][6700/7045]	Time 0.384 (0.239)	Data 0.331 (0.176)	Loss 2.4785 (2.5426)	Prec@1 40.234 (38.427)	Prec@5 68.359 (68.231)
Epoch: [77][6710/7045]	Time 0.357 (0.239)	Data 0.304 (0.176)	Loss 2.4045 (2.5426)	Prec@1 41.406 (38.429)	Prec@5 67.969 (68.231)
Epoch: [77][6720/7045]	Time 0.109 (0.239)	Data 0.001 (0.176)	Loss 2.4404 (2.5426)	Prec@1 41.406 (38.428)	Prec@5 73.438 (68.231)
Epoch: [77][6730/7045]	Time 0.170 (0.239)	Data 0.117 (0.176)	Loss 2.5754 (2.5425)	Prec@1 38.672 (38.428)	Prec@5 68.750 (68.231)
Epoch: [77][6740/7045]	Time 0.228 (0.239)	Data 0.176 (0.176)	Loss 2.5398 (2.5426)	Prec@1 36.719 (38.426)	Prec@5 70.703 (68.231)
Epoch: [77][6750/7045]	Time 0.102 (0.239)	Data 0.044 (0.176)	Loss 2.3865 (2.5425)	Prec@1 39.062 (38.426)	Prec@5 70.312 (68.230)
Epoch: [77][6760/7045]	Time 0.215 (0.239)	Data 0.163 (0.176)	Loss 2.3858 (2.5425)	Prec@1 41.016 (38.426)	Prec@5 69.141 (68.230)
Epoch: [77][6770/7045]	Time 0.164 (0.239)	Data 0.111 (0.176)	Loss 2.4446 (2.5423)	Prec@1 41.406 (38.430)	Prec@5 70.703 (68.233)
Epoch: [77][6780/7045]	Time 0.140 (0.239)	Data 0.087 (0.176)	Loss 2.7012 (2.5423)	Prec@1 39.844 (38.431)	Prec@5 66.016 (68.233)
Epoch: [77][6790/7045]	Time 0.152 (0.239)	Data 0.100 (0.176)	Loss 2.4792 (2.5424)	Prec@1 39.453 (38.430)	Prec@5 71.094 (68.232)
Epoch: [77][6800/7045]	Time 0.108 (0.239)	Data 0.054 (0.176)	Loss 2.6353 (2.5423)	Prec@1 37.109 (38.430)	Prec@5 67.969 (68.233)
Epoch: [77][6810/7045]	Time 0.218 (0.239)	Data 0.161 (0.176)	Loss 2.6621 (2.5424)	Prec@1 37.500 (38.429)	Prec@5 67.578 (68.233)
Epoch: [77][6820/7045]	Time 0.102 (0.239)	Data 0.004 (0.176)	Loss 2.4368 (2.5424)	Prec@1 37.500 (38.427)	Prec@5 70.312 (68.233)
Epoch: [77][6830/7045]	Time 0.198 (0.239)	Data 0.146 (0.176)	Loss 2.4839 (2.5424)	Prec@1 38.672 (38.428)	Prec@5 71.875 (68.235)
Epoch: [77][6840/7045]	Time 0.103 (0.239)	Data 0.001 (0.176)	Loss 2.6600 (2.5425)	Prec@1 39.844 (38.427)	Prec@5 66.016 (68.232)
Epoch: [77][6850/7045]	Time 0.298 (0.239)	Data 0.246 (0.176)	Loss 2.5517 (2.5426)	Prec@1 38.672 (38.423)	Prec@5 68.750 (68.230)
Epoch: [77][6860/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.3857 (2.5426)	Prec@1 42.188 (38.421)	Prec@5 69.141 (68.230)
Epoch: [77][6870/7045]	Time 0.224 (0.239)	Data 0.172 (0.176)	Loss 2.4477 (2.5426)	Prec@1 42.578 (38.420)	Prec@5 70.703 (68.230)
Epoch: [77][6880/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.4607 (2.5427)	Prec@1 40.234 (38.418)	Prec@5 67.969 (68.229)
Epoch: [77][6890/7045]	Time 0.110 (0.239)	Data 0.009 (0.176)	Loss 2.5201 (2.5427)	Prec@1 34.766 (38.416)	Prec@5 69.531 (68.228)
Epoch: [77][6900/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.7116 (2.5428)	Prec@1 31.641 (38.414)	Prec@5 64.453 (68.227)
Epoch: [77][6910/7045]	Time 0.107 (0.239)	Data 0.005 (0.176)	Loss 2.6352 (2.5428)	Prec@1 31.250 (38.413)	Prec@5 68.359 (68.227)
Epoch: [77][6920/7045]	Time 0.108 (0.239)	Data 0.055 (0.176)	Loss 2.4870 (2.5428)	Prec@1 43.359 (38.414)	Prec@5 71.875 (68.228)
Epoch: [77][6930/7045]	Time 0.108 (0.239)	Data 0.008 (0.176)	Loss 2.6059 (2.5429)	Prec@1 39.453 (38.413)	Prec@5 67.578 (68.226)
Epoch: [77][6940/7045]	Time 0.111 (0.239)	Data 0.059 (0.176)	Loss 2.5959 (2.5430)	Prec@1 35.938 (38.411)	Prec@5 67.188 (68.224)
Epoch: [77][6950/7045]	Time 0.177 (0.239)	Data 0.124 (0.176)	Loss 2.5276 (2.5430)	Prec@1 44.141 (38.411)	Prec@5 66.797 (68.225)
Epoch: [77][6960/7045]	Time 0.219 (0.239)	Data 0.166 (0.176)	Loss 2.5109 (2.5429)	Prec@1 38.672 (38.411)	Prec@5 68.359 (68.225)
Epoch: [77][6970/7045]	Time 0.111 (0.239)	Data 0.060 (0.176)	Loss 2.4890 (2.5430)	Prec@1 34.375 (38.410)	Prec@5 72.266 (68.225)
Epoch: [77][6980/7045]	Time 0.205 (0.239)	Data 0.154 (0.176)	Loss 2.3690 (2.5430)	Prec@1 43.359 (38.411)	Prec@5 69.141 (68.225)
Epoch: [77][6990/7045]	Time 0.178 (0.239)	Data 0.125 (0.176)	Loss 2.4432 (2.5430)	Prec@1 39.453 (38.410)	Prec@5 73.438 (68.226)
Epoch: [77][7000/7045]	Time 0.244 (0.239)	Data 0.193 (0.176)	Loss 2.7640 (2.5429)	Prec@1 35.547 (38.412)	Prec@5 62.500 (68.228)
Epoch: [77][7010/7045]	Time 0.216 (0.239)	Data 0.164 (0.176)	Loss 2.4661 (2.5429)	Prec@1 39.844 (38.412)	Prec@5 71.094 (68.227)
Epoch: [77][7020/7045]	Time 0.287 (0.239)	Data 0.234 (0.176)	Loss 2.5989 (2.5429)	Prec@1 37.109 (38.412)	Prec@5 67.578 (68.227)
Epoch: [77][7030/7045]	Time 0.207 (0.239)	Data 0.155 (0.176)	Loss 2.5075 (2.5429)	Prec@1 41.797 (38.415)	Prec@5 67.969 (68.228)
Epoch: [77][7040/7045]	Time 0.408 (0.239)	Data 0.356 (0.176)	Loss 2.6715 (2.5428)	Prec@1 35.938 (38.414)	Prec@5 66.797 (68.230)
Test: [0/143]	Time 1.331 (1.331)	Loss 2.1880 (2.1880)	Prec@1 46.094 (46.094)	Prec@5 75.391 (75.391)
Test: [10/143]	Time 0.054 (0.239)	Loss 1.7023 (2.0141)	Prec@1 59.375 (49.432)	Prec@5 83.203 (78.942)
Test: [20/143]	Time 0.327 (0.222)	Loss 2.0684 (1.9840)	Prec@1 46.484 (48.419)	Prec@5 78.516 (79.594)
Test: [30/143]	Time 0.053 (0.196)	Loss 2.1377 (2.0083)	Prec@1 50.000 (48.690)	Prec@5 71.484 (78.427)
Test: [40/143]	Time 0.054 (0.197)	Loss 2.7601 (2.0520)	Prec@1 25.000 (47.647)	Prec@5 68.359 (77.687)
Test: [50/143]	Time 0.054 (0.187)	Loss 1.9150 (2.0981)	Prec@1 44.922 (46.232)	Prec@5 82.422 (77.221)
Test: [60/143]	Time 0.114 (0.189)	Loss 2.3566 (2.0930)	Prec@1 36.719 (46.350)	Prec@5 75.391 (77.382)
Test: [70/143]	Time 0.189 (0.184)	Loss 2.8424 (2.0828)	Prec@1 30.859 (46.677)	Prec@5 64.062 (77.635)
Test: [80/143]	Time 0.059 (0.183)	Loss 2.0011 (2.0745)	Prec@1 46.094 (46.798)	Prec@5 80.859 (77.855)
Test: [90/143]	Time 0.407 (0.182)	Loss 1.7430 (2.0684)	Prec@1 56.250 (46.806)	Prec@5 87.500 (78.022)
Test: [100/143]	Time 0.054 (0.179)	Loss 1.8355 (2.0687)	Prec@1 55.859 (46.774)	Prec@5 85.156 (78.102)
Test: [110/143]	Time 0.443 (0.181)	Loss 1.9261 (2.0637)	Prec@1 51.953 (47.037)	Prec@5 78.906 (78.174)
Test: [120/143]	Time 0.112 (0.179)	Loss 1.7805 (2.0550)	Prec@1 56.250 (47.356)	Prec@5 85.156 (78.303)
Test: [130/143]	Time 0.430 (0.178)	Loss 1.5501 (2.0617)	Prec@1 66.016 (47.343)	Prec@5 83.203 (78.113)
Test: [140/143]	Time 0.057 (0.176)	Loss 3.0191 (2.0845)	Prec@1 25.391 (46.825)	Prec@5 64.453 (77.704)
 * Prec@1 46.874 Prec@5 77.723
Epoch: [78][0/7045]	Time 2.214 (2.214)	Data 2.157 (2.157)	Loss 2.3743 (2.3743)	Prec@1 44.531 (44.531)	Prec@5 73.828 (73.828)
Epoch: [78][10/7045]	Time 0.100 (0.407)	Data 0.001 (0.328)	Loss 2.4064 (2.4427)	Prec@1 42.578 (40.376)	Prec@5 69.531 (69.851)
Epoch: [78][20/7045]	Time 0.605 (0.342)	Data 0.552 (0.259)	Loss 2.6660 (2.4628)	Prec@1 34.766 (39.862)	Prec@5 67.578 (69.866)
Epoch: [78][30/7045]	Time 0.114 (0.302)	Data 0.061 (0.221)	Loss 2.7137 (2.4886)	Prec@1 35.547 (39.327)	Prec@5 65.625 (69.393)
Epoch: [78][40/7045]	Time 0.674 (0.296)	Data 0.621 (0.218)	Loss 2.5214 (2.5089)	Prec@1 37.109 (38.843)	Prec@5 71.875 (68.988)
Epoch: [78][50/7045]	Time 0.110 (0.279)	Data 0.059 (0.201)	Loss 2.7500 (2.5103)	Prec@1 32.812 (38.756)	Prec@5 67.969 (69.049)
Epoch: [78][60/7045]	Time 0.374 (0.277)	Data 0.322 (0.202)	Loss 2.4127 (2.5136)	Prec@1 41.406 (38.813)	Prec@5 69.141 (68.878)
Epoch: [78][70/7045]	Time 0.109 (0.269)	Data 0.057 (0.194)	Loss 2.4285 (2.5067)	Prec@1 40.234 (38.930)	Prec@5 65.234 (68.932)
Epoch: [78][80/7045]	Time 0.112 (0.268)	Data 0.060 (0.195)	Loss 2.5555 (2.5103)	Prec@1 39.844 (38.894)	Prec@5 67.188 (68.928)
Epoch: [78][90/7045]	Time 0.102 (0.264)	Data 0.001 (0.190)	Loss 2.4373 (2.5062)	Prec@1 37.500 (38.977)	Prec@5 69.141 (69.149)
Epoch: [78][100/7045]	Time 0.106 (0.263)	Data 0.003 (0.188)	Loss 2.6490 (2.5135)	Prec@1 35.156 (38.950)	Prec@5 69.141 (69.067)
Epoch: [78][110/7045]	Time 0.107 (0.259)	Data 0.055 (0.185)	Loss 2.5692 (2.5149)	Prec@1 36.328 (38.915)	Prec@5 69.531 (69.060)
Epoch: [78][120/7045]	Time 0.103 (0.260)	Data 0.001 (0.186)	Loss 2.5052 (2.5194)	Prec@1 39.453 (38.827)	Prec@5 69.141 (68.844)
Epoch: [78][130/7045]	Time 0.105 (0.256)	Data 0.054 (0.182)	Loss 2.4299 (2.5146)	Prec@1 42.578 (38.913)	Prec@5 69.531 (68.902)
Epoch: [78][140/7045]	Time 0.103 (0.257)	Data 0.004 (0.183)	Loss 2.4932 (2.5141)	Prec@1 37.109 (38.852)	Prec@5 67.578 (68.908)
Epoch: [78][150/7045]	Time 0.104 (0.254)	Data 0.051 (0.180)	Loss 2.3671 (2.5084)	Prec@1 39.844 (38.975)	Prec@5 73.047 (69.022)
Epoch: [78][160/7045]	Time 0.104 (0.255)	Data 0.006 (0.181)	Loss 2.5978 (2.5099)	Prec@1 33.203 (38.973)	Prec@5 65.234 (68.966)
Epoch: [78][170/7045]	Time 0.151 (0.253)	Data 0.099 (0.179)	Loss 2.3653 (2.5105)	Prec@1 39.453 (38.962)	Prec@5 70.703 (68.994)
Epoch: [78][180/7045]	Time 0.101 (0.254)	Data 0.001 (0.180)	Loss 2.5697 (2.5116)	Prec@1 37.891 (38.939)	Prec@5 65.234 (68.949)
Epoch: [78][190/7045]	Time 0.201 (0.252)	Data 0.149 (0.178)	Loss 2.5166 (2.5105)	Prec@1 37.500 (38.913)	Prec@5 69.141 (68.977)
Epoch: [78][200/7045]	Time 0.103 (0.252)	Data 0.009 (0.178)	Loss 2.5686 (2.5135)	Prec@1 39.844 (38.882)	Prec@5 65.625 (68.900)
Epoch: [78][210/7045]	Time 0.221 (0.251)	Data 0.169 (0.177)	Loss 2.6145 (2.5150)	Prec@1 37.109 (38.866)	Prec@5 66.016 (68.874)
Epoch: [78][220/7045]	Time 0.102 (0.251)	Data 0.007 (0.177)	Loss 2.5634 (2.5108)	Prec@1 35.547 (38.872)	Prec@5 64.844 (68.936)
Epoch: [78][230/7045]	Time 0.177 (0.250)	Data 0.126 (0.176)	Loss 2.6251 (2.5074)	Prec@1 34.766 (38.934)	Prec@5 67.969 (69.039)
Epoch: [78][240/7045]	Time 0.103 (0.250)	Data 0.005 (0.176)	Loss 2.6863 (2.5082)	Prec@1 36.719 (38.934)	Prec@5 63.672 (69.048)
Epoch: [78][250/7045]	Time 0.260 (0.250)	Data 0.207 (0.176)	Loss 2.5750 (2.5123)	Prec@1 37.109 (38.891)	Prec@5 67.188 (69.001)
Epoch: [78][260/7045]	Time 0.102 (0.250)	Data 0.002 (0.176)	Loss 2.4986 (2.5126)	Prec@1 34.375 (38.865)	Prec@5 67.578 (68.957)
Epoch: [78][270/7045]	Time 0.340 (0.249)	Data 0.288 (0.175)	Loss 2.5259 (2.5133)	Prec@1 44.141 (38.858)	Prec@5 68.750 (68.984)
Epoch: [78][280/7045]	Time 0.102 (0.249)	Data 0.006 (0.175)	Loss 2.5044 (2.5124)	Prec@1 39.844 (38.830)	Prec@5 70.312 (68.968)
Epoch: [78][290/7045]	Time 0.399 (0.249)	Data 0.347 (0.175)	Loss 2.5046 (2.5145)	Prec@1 40.625 (38.807)	Prec@5 68.750 (68.925)
Epoch: [78][300/7045]	Time 0.122 (0.248)	Data 0.070 (0.175)	Loss 2.5611 (2.5156)	Prec@1 37.500 (38.752)	Prec@5 66.016 (68.882)
Epoch: [78][310/7045]	Time 0.569 (0.249)	Data 0.517 (0.175)	Loss 2.5060 (2.5162)	Prec@1 37.109 (38.765)	Prec@5 69.922 (68.882)
Epoch: [78][320/7045]	Time 0.111 (0.248)	Data 0.059 (0.175)	Loss 2.4638 (2.5153)	Prec@1 41.016 (38.758)	Prec@5 71.484 (68.920)
Epoch: [78][330/7045]	Time 0.579 (0.248)	Data 0.519 (0.175)	Loss 2.5710 (2.5177)	Prec@1 38.672 (38.742)	Prec@5 67.188 (68.861)
Epoch: [78][340/7045]	Time 0.111 (0.248)	Data 0.059 (0.174)	Loss 2.5871 (2.5185)	Prec@1 35.938 (38.744)	Prec@5 66.797 (68.858)
Epoch: [78][350/7045]	Time 0.663 (0.248)	Data 0.605 (0.175)	Loss 2.5629 (2.5192)	Prec@1 39.453 (38.761)	Prec@5 66.797 (68.833)
Epoch: [78][360/7045]	Time 0.102 (0.247)	Data 0.006 (0.174)	Loss 2.5040 (2.5204)	Prec@1 39.844 (38.747)	Prec@5 67.578 (68.769)
Epoch: [78][370/7045]	Time 0.644 (0.248)	Data 0.586 (0.174)	Loss 2.5404 (2.5217)	Prec@1 36.719 (38.705)	Prec@5 67.188 (68.747)
Epoch: [78][380/7045]	Time 0.102 (0.247)	Data 0.006 (0.173)	Loss 2.4252 (2.5221)	Prec@1 41.406 (38.706)	Prec@5 68.359 (68.740)
Epoch: [78][390/7045]	Time 0.659 (0.247)	Data 0.601 (0.174)	Loss 2.5133 (2.5216)	Prec@1 35.938 (38.716)	Prec@5 69.141 (68.750)
Epoch: [78][400/7045]	Time 0.108 (0.247)	Data 0.002 (0.173)	Loss 2.6699 (2.5217)	Prec@1 35.156 (38.723)	Prec@5 65.234 (68.739)
Epoch: [78][410/7045]	Time 0.629 (0.247)	Data 0.577 (0.174)	Loss 2.4166 (2.5224)	Prec@1 37.891 (38.714)	Prec@5 69.922 (68.717)
Epoch: [78][420/7045]	Time 0.102 (0.246)	Data 0.007 (0.173)	Loss 2.4647 (2.5204)	Prec@1 40.234 (38.765)	Prec@5 67.969 (68.744)
Epoch: [78][430/7045]	Time 0.480 (0.247)	Data 0.428 (0.173)	Loss 2.6771 (2.5217)	Prec@1 36.719 (38.753)	Prec@5 69.531 (68.722)
Epoch: [78][440/7045]	Time 0.101 (0.246)	Data 0.006 (0.173)	Loss 2.4217 (2.5212)	Prec@1 40.625 (38.754)	Prec@5 69.141 (68.712)
Epoch: [78][450/7045]	Time 0.552 (0.246)	Data 0.500 (0.173)	Loss 2.4293 (2.5204)	Prec@1 41.406 (38.778)	Prec@5 71.094 (68.736)
Epoch: [78][460/7045]	Time 0.111 (0.246)	Data 0.059 (0.173)	Loss 2.5693 (2.5212)	Prec@1 37.500 (38.764)	Prec@5 66.797 (68.728)
Epoch: [78][470/7045]	Time 0.637 (0.246)	Data 0.579 (0.173)	Loss 2.4844 (2.5210)	Prec@1 42.188 (38.776)	Prec@5 68.359 (68.717)
Epoch: [78][480/7045]	Time 0.102 (0.246)	Data 0.001 (0.172)	Loss 2.2169 (2.5213)	Prec@1 46.094 (38.760)	Prec@5 72.656 (68.697)
Epoch: [78][490/7045]	Time 0.632 (0.246)	Data 0.573 (0.173)	Loss 2.4608 (2.5214)	Prec@1 37.891 (38.768)	Prec@5 72.266 (68.696)
Epoch: [78][500/7045]	Time 0.102 (0.245)	Data 0.001 (0.172)	Loss 2.4118 (2.5216)	Prec@1 44.531 (38.781)	Prec@5 70.312 (68.704)
Epoch: [78][510/7045]	Time 0.661 (0.246)	Data 0.610 (0.172)	Loss 2.4793 (2.5227)	Prec@1 39.453 (38.757)	Prec@5 70.703 (68.696)
Epoch: [78][520/7045]	Time 0.101 (0.245)	Data 0.001 (0.172)	Loss 2.8574 (2.5236)	Prec@1 35.156 (38.750)	Prec@5 61.719 (68.668)
Epoch: [78][530/7045]	Time 0.642 (0.246)	Data 0.592 (0.172)	Loss 2.5168 (2.5246)	Prec@1 39.844 (38.751)	Prec@5 68.359 (68.658)
Epoch: [78][540/7045]	Time 0.102 (0.245)	Data 0.001 (0.171)	Loss 2.6345 (2.5253)	Prec@1 35.938 (38.739)	Prec@5 65.234 (68.655)
Epoch: [78][550/7045]	Time 0.570 (0.245)	Data 0.518 (0.172)	Loss 2.3638 (2.5244)	Prec@1 39.844 (38.785)	Prec@5 67.969 (68.665)
Epoch: [78][560/7045]	Time 0.102 (0.245)	Data 0.005 (0.171)	Loss 2.6498 (2.5241)	Prec@1 31.641 (38.785)	Prec@5 65.234 (68.664)
Epoch: [78][570/7045]	Time 0.539 (0.245)	Data 0.486 (0.172)	Loss 2.4315 (2.5239)	Prec@1 40.625 (38.783)	Prec@5 73.438 (68.688)
Epoch: [78][580/7045]	Time 0.101 (0.245)	Data 0.006 (0.171)	Loss 2.5631 (2.5245)	Prec@1 42.578 (38.785)	Prec@5 67.188 (68.689)
Epoch: [78][590/7045]	Time 0.467 (0.245)	Data 0.415 (0.172)	Loss 2.5443 (2.5248)	Prec@1 35.938 (38.778)	Prec@5 66.406 (68.686)
Epoch: [78][600/7045]	Time 0.102 (0.245)	Data 0.005 (0.172)	Loss 2.3931 (2.5242)	Prec@1 42.188 (38.798)	Prec@5 71.875 (68.705)
Epoch: [78][610/7045]	Time 0.447 (0.245)	Data 0.396 (0.172)	Loss 2.4578 (2.5243)	Prec@1 39.062 (38.785)	Prec@5 69.922 (68.729)
Epoch: [78][620/7045]	Time 0.102 (0.244)	Data 0.006 (0.172)	Loss 2.4297 (2.5253)	Prec@1 37.500 (38.776)	Prec@5 69.922 (68.715)
Epoch: [78][630/7045]	Time 0.479 (0.245)	Data 0.421 (0.172)	Loss 2.4514 (2.5253)	Prec@1 38.281 (38.775)	Prec@5 71.094 (68.723)
Epoch: [78][640/7045]	Time 0.102 (0.244)	Data 0.001 (0.172)	Loss 2.5561 (2.5254)	Prec@1 37.891 (38.794)	Prec@5 65.625 (68.708)
Epoch: [78][650/7045]	Time 0.463 (0.245)	Data 0.406 (0.172)	Loss 2.5475 (2.5247)	Prec@1 33.984 (38.791)	Prec@5 67.188 (68.713)
Epoch: [78][660/7045]	Time 0.102 (0.244)	Data 0.001 (0.172)	Loss 2.5144 (2.5254)	Prec@1 33.203 (38.774)	Prec@5 70.312 (68.696)
Epoch: [78][670/7045]	Time 0.500 (0.245)	Data 0.449 (0.172)	Loss 2.6395 (2.5255)	Prec@1 35.938 (38.770)	Prec@5 66.406 (68.695)
Epoch: [78][680/7045]	Time 0.102 (0.244)	Data 0.001 (0.172)	Loss 2.6067 (2.5260)	Prec@1 40.625 (38.764)	Prec@5 67.578 (68.675)
Epoch: [78][690/7045]	Time 0.427 (0.244)	Data 0.375 (0.172)	Loss 2.4885 (2.5263)	Prec@1 37.891 (38.776)	Prec@5 68.750 (68.664)
Epoch: [78][700/7045]	Time 0.101 (0.244)	Data 0.001 (0.171)	Loss 2.4187 (2.5266)	Prec@1 44.141 (38.782)	Prec@5 66.797 (68.644)
Epoch: [78][710/7045]	Time 0.461 (0.244)	Data 0.409 (0.172)	Loss 2.5213 (2.5273)	Prec@1 37.109 (38.765)	Prec@5 66.797 (68.630)
Epoch: [78][720/7045]	Time 0.103 (0.244)	Data 0.001 (0.171)	Loss 2.4761 (2.5272)	Prec@1 39.453 (38.766)	Prec@5 70.703 (68.630)
Epoch: [78][730/7045]	Time 0.488 (0.244)	Data 0.436 (0.171)	Loss 2.3240 (2.5273)	Prec@1 40.625 (38.755)	Prec@5 73.438 (68.628)
Epoch: [78][740/7045]	Time 0.102 (0.244)	Data 0.001 (0.171)	Loss 2.5433 (2.5275)	Prec@1 37.891 (38.758)	Prec@5 66.406 (68.620)
Epoch: [78][750/7045]	Time 0.550 (0.244)	Data 0.498 (0.171)	Loss 2.5059 (2.5268)	Prec@1 38.672 (38.755)	Prec@5 68.750 (68.636)
Epoch: [78][760/7045]	Time 0.102 (0.244)	Data 0.001 (0.171)	Loss 2.4449 (2.5269)	Prec@1 41.016 (38.745)	Prec@5 71.484 (68.638)
Epoch: [78][770/7045]	Time 0.580 (0.244)	Data 0.523 (0.171)	Loss 2.6597 (2.5273)	Prec@1 34.375 (38.735)	Prec@5 66.016 (68.626)
Epoch: [78][780/7045]	Time 0.102 (0.244)	Data 0.006 (0.171)	Loss 2.5155 (2.5263)	Prec@1 39.062 (38.748)	Prec@5 71.484 (68.642)
Epoch: [78][790/7045]	Time 0.591 (0.244)	Data 0.534 (0.171)	Loss 2.6149 (2.5260)	Prec@1 38.672 (38.737)	Prec@5 65.625 (68.654)
Epoch: [78][800/7045]	Time 0.107 (0.244)	Data 0.001 (0.171)	Loss 2.6352 (2.5260)	Prec@1 33.984 (38.726)	Prec@5 65.625 (68.648)
Epoch: [78][810/7045]	Time 0.577 (0.244)	Data 0.518 (0.171)	Loss 2.5590 (2.5259)	Prec@1 38.281 (38.727)	Prec@5 66.406 (68.648)
Epoch: [78][820/7045]	Time 0.102 (0.243)	Data 0.004 (0.171)	Loss 2.5192 (2.5257)	Prec@1 40.234 (38.734)	Prec@5 67.969 (68.670)
Epoch: [78][830/7045]	Time 0.562 (0.244)	Data 0.511 (0.172)	Loss 2.3444 (2.5256)	Prec@1 41.797 (38.728)	Prec@5 71.484 (68.672)
Epoch: [78][840/7045]	Time 0.109 (0.244)	Data 0.001 (0.171)	Loss 2.5800 (2.5257)	Prec@1 35.547 (38.724)	Prec@5 67.188 (68.667)
Epoch: [78][850/7045]	Time 0.621 (0.244)	Data 0.569 (0.172)	Loss 2.6589 (2.5257)	Prec@1 33.594 (38.715)	Prec@5 64.453 (68.668)
Epoch: [78][860/7045]	Time 0.103 (0.243)	Data 0.001 (0.171)	Loss 2.3948 (2.5263)	Prec@1 41.406 (38.709)	Prec@5 71.484 (68.659)
Epoch: [78][870/7045]	Time 0.627 (0.244)	Data 0.576 (0.172)	Loss 2.2971 (2.5258)	Prec@1 46.094 (38.725)	Prec@5 73.047 (68.669)
Epoch: [78][880/7045]	Time 0.109 (0.243)	Data 0.001 (0.171)	Loss 2.5752 (2.5260)	Prec@1 36.328 (38.722)	Prec@5 70.312 (68.670)
Epoch: [78][890/7045]	Time 0.619 (0.244)	Data 0.568 (0.171)	Loss 2.6037 (2.5264)	Prec@1 39.844 (38.713)	Prec@5 68.750 (68.675)
Epoch: [78][900/7045]	Time 0.108 (0.243)	Data 0.004 (0.171)	Loss 2.4496 (2.5261)	Prec@1 44.141 (38.721)	Prec@5 69.922 (68.680)
Epoch: [78][910/7045]	Time 0.608 (0.243)	Data 0.556 (0.171)	Loss 2.5702 (2.5259)	Prec@1 35.156 (38.715)	Prec@5 70.703 (68.684)
Epoch: [78][920/7045]	Time 0.110 (0.243)	Data 0.001 (0.171)	Loss 2.5636 (2.5260)	Prec@1 35.156 (38.713)	Prec@5 69.922 (68.691)
Epoch: [78][930/7045]	Time 0.621 (0.243)	Data 0.563 (0.171)	Loss 2.2990 (2.5259)	Prec@1 39.844 (38.717)	Prec@5 71.875 (68.695)
Epoch: [78][940/7045]	Time 0.109 (0.243)	Data 0.004 (0.171)	Loss 2.4134 (2.5265)	Prec@1 38.281 (38.713)	Prec@5 69.922 (68.684)
Epoch: [78][950/7045]	Time 0.604 (0.243)	Data 0.551 (0.171)	Loss 2.4346 (2.5271)	Prec@1 39.453 (38.704)	Prec@5 67.969 (68.674)
Epoch: [78][960/7045]	Time 0.102 (0.243)	Data 0.009 (0.171)	Loss 2.4366 (2.5272)	Prec@1 39.062 (38.689)	Prec@5 69.531 (68.672)
Epoch: [78][970/7045]	Time 0.618 (0.243)	Data 0.566 (0.172)	Loss 2.4328 (2.5276)	Prec@1 40.625 (38.680)	Prec@5 71.484 (68.662)
Epoch: [78][980/7045]	Time 0.111 (0.243)	Data 0.058 (0.171)	Loss 2.5094 (2.5275)	Prec@1 42.578 (38.695)	Prec@5 70.312 (68.660)
Epoch: [78][990/7045]	Time 0.592 (0.243)	Data 0.539 (0.172)	Loss 2.6597 (2.5274)	Prec@1 37.500 (38.695)	Prec@5 66.797 (68.664)
Epoch: [78][1000/7045]	Time 0.102 (0.243)	Data 0.003 (0.171)	Loss 2.4574 (2.5271)	Prec@1 41.016 (38.706)	Prec@5 69.531 (68.668)
Epoch: [78][1010/7045]	Time 0.580 (0.243)	Data 0.528 (0.172)	Loss 2.4448 (2.5276)	Prec@1 37.891 (38.697)	Prec@5 72.266 (68.661)
Epoch: [78][1020/7045]	Time 0.109 (0.243)	Data 0.056 (0.171)	Loss 2.4349 (2.5280)	Prec@1 42.188 (38.689)	Prec@5 67.969 (68.641)
Epoch: [78][1030/7045]	Time 0.577 (0.243)	Data 0.524 (0.172)	Loss 2.6011 (2.5285)	Prec@1 35.156 (38.682)	Prec@5 68.359 (68.631)
Epoch: [78][1040/7045]	Time 0.112 (0.243)	Data 0.059 (0.172)	Loss 2.5951 (2.5284)	Prec@1 40.234 (38.680)	Prec@5 66.797 (68.638)
Epoch: [78][1050/7045]	Time 0.569 (0.243)	Data 0.517 (0.172)	Loss 2.6554 (2.5286)	Prec@1 38.281 (38.680)	Prec@5 65.234 (68.633)
Epoch: [78][1060/7045]	Time 0.113 (0.243)	Data 0.061 (0.172)	Loss 2.4205 (2.5281)	Prec@1 41.016 (38.684)	Prec@5 72.266 (68.647)
Epoch: [78][1070/7045]	Time 0.547 (0.243)	Data 0.495 (0.172)	Loss 2.4478 (2.5280)	Prec@1 38.281 (38.685)	Prec@5 67.969 (68.650)
Epoch: [78][1080/7045]	Time 0.102 (0.243)	Data 0.001 (0.172)	Loss 2.5857 (2.5278)	Prec@1 41.406 (38.694)	Prec@5 65.625 (68.642)
Epoch: [78][1090/7045]	Time 0.478 (0.243)	Data 0.428 (0.172)	Loss 2.5994 (2.5272)	Prec@1 32.031 (38.700)	Prec@5 66.797 (68.649)
Epoch: [78][1100/7045]	Time 0.102 (0.243)	Data 0.004 (0.171)	Loss 2.5686 (2.5276)	Prec@1 41.016 (38.691)	Prec@5 67.969 (68.636)
Epoch: [78][1110/7045]	Time 0.368 (0.243)	Data 0.317 (0.171)	Loss 2.5798 (2.5274)	Prec@1 35.156 (38.690)	Prec@5 69.141 (68.645)
Epoch: [78][1120/7045]	Time 0.104 (0.243)	Data 0.051 (0.171)	Loss 2.5774 (2.5275)	Prec@1 39.453 (38.688)	Prec@5 68.750 (68.646)
Epoch: [78][1130/7045]	Time 0.459 (0.243)	Data 0.407 (0.171)	Loss 2.6811 (2.5276)	Prec@1 38.281 (38.696)	Prec@5 66.797 (68.650)
Epoch: [78][1140/7045]	Time 0.102 (0.242)	Data 0.006 (0.171)	Loss 2.4093 (2.5277)	Prec@1 40.625 (38.700)	Prec@5 70.703 (68.642)
Epoch: [78][1150/7045]	Time 0.448 (0.243)	Data 0.396 (0.171)	Loss 2.6053 (2.5277)	Prec@1 38.281 (38.705)	Prec@5 69.922 (68.648)
Epoch: [78][1160/7045]	Time 0.103 (0.242)	Data 0.001 (0.171)	Loss 2.7682 (2.5282)	Prec@1 35.547 (38.696)	Prec@5 62.500 (68.641)
Epoch: [78][1170/7045]	Time 0.707 (0.243)	Data 0.657 (0.171)	Loss 2.5813 (2.5282)	Prec@1 40.234 (38.697)	Prec@5 65.234 (68.651)
Epoch: [78][1180/7045]	Time 0.102 (0.242)	Data 0.001 (0.171)	Loss 2.4628 (2.5275)	Prec@1 36.719 (38.720)	Prec@5 69.141 (68.661)
Epoch: [78][1190/7045]	Time 0.624 (0.243)	Data 0.573 (0.171)	Loss 2.2470 (2.5276)	Prec@1 44.141 (38.720)	Prec@5 73.828 (68.662)
Epoch: [78][1200/7045]	Time 0.102 (0.242)	Data 0.001 (0.171)	Loss 2.5456 (2.5270)	Prec@1 36.328 (38.719)	Prec@5 66.406 (68.672)
Epoch: [78][1210/7045]	Time 0.385 (0.243)	Data 0.334 (0.171)	Loss 2.5544 (2.5269)	Prec@1 40.625 (38.720)	Prec@5 69.141 (68.681)
Epoch: [78][1220/7045]	Time 0.103 (0.242)	Data 0.001 (0.171)	Loss 2.2629 (2.5273)	Prec@1 43.359 (38.719)	Prec@5 73.828 (68.669)
Epoch: [78][1230/7045]	Time 0.186 (0.243)	Data 0.133 (0.171)	Loss 2.6083 (2.5273)	Prec@1 36.719 (38.720)	Prec@5 68.750 (68.674)
Epoch: [78][1240/7045]	Time 0.108 (0.242)	Data 0.057 (0.171)	Loss 2.5447 (2.5276)	Prec@1 40.625 (38.729)	Prec@5 67.578 (68.675)
Epoch: [78][1250/7045]	Time 0.108 (0.243)	Data 0.055 (0.171)	Loss 2.6672 (2.5281)	Prec@1 34.766 (38.714)	Prec@5 64.062 (68.658)
Epoch: [78][1260/7045]	Time 0.103 (0.242)	Data 0.001 (0.170)	Loss 2.5214 (2.5285)	Prec@1 38.281 (38.708)	Prec@5 69.922 (68.647)
Epoch: [78][1270/7045]	Time 0.159 (0.243)	Data 0.101 (0.171)	Loss 2.4841 (2.5290)	Prec@1 37.109 (38.700)	Prec@5 70.312 (68.627)
Epoch: [78][1280/7045]	Time 0.108 (0.242)	Data 0.057 (0.170)	Loss 2.4978 (2.5289)	Prec@1 40.625 (38.701)	Prec@5 72.656 (68.624)
Epoch: [78][1290/7045]	Time 0.237 (0.243)	Data 0.185 (0.171)	Loss 2.4037 (2.5287)	Prec@1 40.625 (38.705)	Prec@5 69.922 (68.622)
Epoch: [78][1300/7045]	Time 0.262 (0.242)	Data 0.209 (0.171)	Loss 2.4582 (2.5283)	Prec@1 39.844 (38.719)	Prec@5 71.875 (68.632)
Epoch: [78][1310/7045]	Time 0.222 (0.242)	Data 0.171 (0.171)	Loss 2.7485 (2.5281)	Prec@1 32.422 (38.712)	Prec@5 66.016 (68.631)
Epoch: [78][1320/7045]	Time 0.658 (0.243)	Data 0.607 (0.171)	Loss 2.4824 (2.5283)	Prec@1 40.234 (38.709)	Prec@5 69.141 (68.620)
Epoch: [78][1330/7045]	Time 0.160 (0.242)	Data 0.109 (0.171)	Loss 2.5811 (2.5286)	Prec@1 37.500 (38.704)	Prec@5 67.969 (68.610)
Epoch: [78][1340/7045]	Time 0.467 (0.243)	Data 0.415 (0.171)	Loss 2.6508 (2.5291)	Prec@1 35.156 (38.694)	Prec@5 66.016 (68.600)
Epoch: [78][1350/7045]	Time 0.101 (0.243)	Data 0.001 (0.171)	Loss 2.4916 (2.5291)	Prec@1 45.312 (38.696)	Prec@5 68.359 (68.601)
Epoch: [78][1360/7045]	Time 0.372 (0.242)	Data 0.320 (0.171)	Loss 2.5767 (2.5292)	Prec@1 37.891 (38.698)	Prec@5 67.188 (68.598)
Epoch: [78][1370/7045]	Time 0.170 (0.243)	Data 0.111 (0.171)	Loss 2.5641 (2.5292)	Prec@1 38.672 (38.698)	Prec@5 67.578 (68.599)
Epoch: [78][1380/7045]	Time 0.135 (0.242)	Data 0.083 (0.171)	Loss 2.7406 (2.5288)	Prec@1 35.156 (38.704)	Prec@5 64.453 (68.603)
Epoch: [78][1390/7045]	Time 0.454 (0.243)	Data 0.402 (0.171)	Loss 2.6316 (2.5287)	Prec@1 34.766 (38.702)	Prec@5 66.016 (68.606)
Epoch: [78][1400/7045]	Time 0.102 (0.243)	Data 0.001 (0.171)	Loss 2.4498 (2.5285)	Prec@1 42.969 (38.704)	Prec@5 69.141 (68.608)
Epoch: [78][1410/7045]	Time 0.438 (0.243)	Data 0.387 (0.171)	Loss 2.5867 (2.5285)	Prec@1 35.938 (38.709)	Prec@5 67.578 (68.605)
Epoch: [78][1420/7045]	Time 0.102 (0.243)	Data 0.005 (0.171)	Loss 2.3738 (2.5280)	Prec@1 38.281 (38.721)	Prec@5 69.922 (68.613)
Epoch: [78][1430/7045]	Time 0.371 (0.243)	Data 0.319 (0.171)	Loss 2.5125 (2.5280)	Prec@1 40.234 (38.722)	Prec@5 68.750 (68.611)
Epoch: [78][1440/7045]	Time 0.107 (0.243)	Data 0.004 (0.171)	Loss 2.5200 (2.5278)	Prec@1 37.891 (38.722)	Prec@5 67.969 (68.617)
Epoch: [78][1450/7045]	Time 0.241 (0.243)	Data 0.190 (0.171)	Loss 2.5970 (2.5282)	Prec@1 39.453 (38.723)	Prec@5 67.578 (68.616)
Epoch: [78][1460/7045]	Time 0.101 (0.243)	Data 0.003 (0.171)	Loss 2.4385 (2.5280)	Prec@1 43.359 (38.727)	Prec@5 71.094 (68.626)
Epoch: [78][1470/7045]	Time 0.102 (0.243)	Data 0.001 (0.171)	Loss 2.6547 (2.5278)	Prec@1 39.453 (38.735)	Prec@5 66.797 (68.631)
Epoch: [78][1480/7045]	Time 0.111 (0.243)	Data 0.059 (0.171)	Loss 2.4744 (2.5276)	Prec@1 40.234 (38.741)	Prec@5 70.703 (68.638)
Epoch: [78][1490/7045]	Time 0.369 (0.243)	Data 0.317 (0.172)	Loss 2.5381 (2.5276)	Prec@1 38.672 (38.742)	Prec@5 65.625 (68.638)
Epoch: [78][1500/7045]	Time 0.102 (0.243)	Data 0.001 (0.172)	Loss 2.4074 (2.5278)	Prec@1 40.625 (38.738)	Prec@5 71.094 (68.630)
Epoch: [78][1510/7045]	Time 0.479 (0.243)	Data 0.427 (0.172)	Loss 2.5683 (2.5276)	Prec@1 34.766 (38.736)	Prec@5 68.750 (68.633)
Epoch: [78][1520/7045]	Time 0.102 (0.243)	Data 0.050 (0.172)	Loss 2.6791 (2.5280)	Prec@1 36.328 (38.732)	Prec@5 64.844 (68.620)
Epoch: [78][1530/7045]	Time 0.449 (0.243)	Data 0.397 (0.172)	Loss 2.2553 (2.5282)	Prec@1 46.484 (38.730)	Prec@5 73.047 (68.613)
Epoch: [78][1540/7045]	Time 0.330 (0.243)	Data 0.279 (0.172)	Loss 2.5700 (2.5281)	Prec@1 38.672 (38.729)	Prec@5 68.750 (68.616)
Epoch: [78][1550/7045]	Time 0.255 (0.243)	Data 0.203 (0.172)	Loss 2.6759 (2.5284)	Prec@1 36.719 (38.720)	Prec@5 69.531 (68.612)
Epoch: [78][1560/7045]	Time 0.290 (0.243)	Data 0.238 (0.172)	Loss 2.6014 (2.5286)	Prec@1 38.672 (38.720)	Prec@5 70.312 (68.607)
Epoch: [78][1570/7045]	Time 0.102 (0.243)	Data 0.005 (0.172)	Loss 2.3981 (2.5287)	Prec@1 47.656 (38.720)	Prec@5 73.047 (68.610)
Epoch: [78][1580/7045]	Time 0.259 (0.243)	Data 0.208 (0.172)	Loss 2.6342 (2.5286)	Prec@1 36.719 (38.719)	Prec@5 66.406 (68.612)
Epoch: [78][1590/7045]	Time 0.121 (0.243)	Data 0.068 (0.172)	Loss 2.5477 (2.5284)	Prec@1 37.891 (38.718)	Prec@5 70.703 (68.624)
Epoch: [78][1600/7045]	Time 0.260 (0.243)	Data 0.208 (0.172)	Loss 2.3943 (2.5285)	Prec@1 39.453 (38.704)	Prec@5 71.875 (68.619)
Epoch: [78][1610/7045]	Time 0.108 (0.243)	Data 0.002 (0.172)	Loss 2.3238 (2.5287)	Prec@1 43.359 (38.705)	Prec@5 72.656 (68.616)
Epoch: [78][1620/7045]	Time 0.247 (0.243)	Data 0.195 (0.172)	Loss 2.6369 (2.5291)	Prec@1 37.109 (38.697)	Prec@5 64.844 (68.609)
Epoch: [78][1630/7045]	Time 0.107 (0.243)	Data 0.001 (0.172)	Loss 2.5592 (2.5288)	Prec@1 41.406 (38.704)	Prec@5 67.188 (68.615)
Epoch: [78][1640/7045]	Time 0.187 (0.243)	Data 0.135 (0.172)	Loss 2.5783 (2.5292)	Prec@1 40.625 (38.702)	Prec@5 66.797 (68.603)
Epoch: [78][1650/7045]	Time 0.130 (0.243)	Data 0.072 (0.172)	Loss 2.5272 (2.5294)	Prec@1 39.453 (38.706)	Prec@5 66.797 (68.597)
Epoch: [78][1660/7045]	Time 0.201 (0.243)	Data 0.150 (0.172)	Loss 2.5202 (2.5294)	Prec@1 35.156 (38.697)	Prec@5 69.922 (68.599)
Epoch: [78][1670/7045]	Time 0.101 (0.243)	Data 0.001 (0.172)	Loss 2.5380 (2.5297)	Prec@1 37.891 (38.690)	Prec@5 69.922 (68.598)
Epoch: [78][1680/7045]	Time 0.156 (0.242)	Data 0.103 (0.172)	Loss 2.3945 (2.5295)	Prec@1 41.406 (38.690)	Prec@5 69.531 (68.605)
Epoch: [78][1690/7045]	Time 0.109 (0.243)	Data 0.006 (0.172)	Loss 2.3680 (2.5291)	Prec@1 42.969 (38.700)	Prec@5 70.703 (68.607)
Epoch: [78][1700/7045]	Time 0.186 (0.242)	Data 0.134 (0.172)	Loss 2.6525 (2.5288)	Prec@1 36.328 (38.699)	Prec@5 67.188 (68.611)
Epoch: [78][1710/7045]	Time 0.102 (0.243)	Data 0.006 (0.172)	Loss 2.5543 (2.5288)	Prec@1 38.672 (38.700)	Prec@5 67.578 (68.613)
Epoch: [78][1720/7045]	Time 0.127 (0.242)	Data 0.074 (0.172)	Loss 2.2143 (2.5283)	Prec@1 45.312 (38.716)	Prec@5 76.172 (68.622)
Epoch: [78][1730/7045]	Time 0.109 (0.243)	Data 0.051 (0.172)	Loss 2.4712 (2.5282)	Prec@1 41.016 (38.720)	Prec@5 68.359 (68.621)
Epoch: [78][1740/7045]	Time 0.104 (0.242)	Data 0.001 (0.172)	Loss 2.6147 (2.5281)	Prec@1 37.891 (38.715)	Prec@5 68.359 (68.618)
Epoch: [78][1750/7045]	Time 0.109 (0.242)	Data 0.003 (0.172)	Loss 2.4794 (2.5282)	Prec@1 40.625 (38.715)	Prec@5 71.484 (68.623)
Epoch: [78][1760/7045]	Time 0.220 (0.242)	Data 0.169 (0.172)	Loss 2.6313 (2.5283)	Prec@1 33.203 (38.706)	Prec@5 64.453 (68.624)
Epoch: [78][1770/7045]	Time 0.114 (0.242)	Data 0.055 (0.172)	Loss 2.4235 (2.5280)	Prec@1 41.016 (38.710)	Prec@5 72.656 (68.630)
Epoch: [78][1780/7045]	Time 0.522 (0.243)	Data 0.469 (0.172)	Loss 2.3323 (2.5277)	Prec@1 39.844 (38.715)	Prec@5 74.219 (68.632)
Epoch: [78][1790/7045]	Time 0.112 (0.242)	Data 0.053 (0.172)	Loss 2.5581 (2.5278)	Prec@1 32.422 (38.712)	Prec@5 69.531 (68.632)
Epoch: [78][1800/7045]	Time 0.591 (0.243)	Data 0.532 (0.172)	Loss 2.6558 (2.5282)	Prec@1 36.719 (38.705)	Prec@5 66.797 (68.624)
Epoch: [78][1810/7045]	Time 0.102 (0.242)	Data 0.001 (0.172)	Loss 2.6499 (2.5284)	Prec@1 36.719 (38.698)	Prec@5 69.531 (68.625)
Epoch: [78][1820/7045]	Time 0.656 (0.243)	Data 0.603 (0.172)	Loss 2.5628 (2.5282)	Prec@1 41.406 (38.701)	Prec@5 69.141 (68.630)
Epoch: [78][1830/7045]	Time 0.102 (0.242)	Data 0.005 (0.172)	Loss 2.6519 (2.5284)	Prec@1 39.453 (38.696)	Prec@5 65.234 (68.624)
Epoch: [78][1840/7045]	Time 0.608 (0.243)	Data 0.549 (0.172)	Loss 2.5250 (2.5284)	Prec@1 39.062 (38.697)	Prec@5 67.969 (68.621)
Epoch: [78][1850/7045]	Time 0.108 (0.242)	Data 0.001 (0.172)	Loss 2.6197 (2.5283)	Prec@1 39.062 (38.699)	Prec@5 67.578 (68.621)
Epoch: [78][1860/7045]	Time 0.565 (0.243)	Data 0.504 (0.172)	Loss 2.4709 (2.5282)	Prec@1 41.016 (38.705)	Prec@5 66.797 (68.618)
Epoch: [78][1870/7045]	Time 0.105 (0.242)	Data 0.051 (0.172)	Loss 2.5891 (2.5284)	Prec@1 36.719 (38.695)	Prec@5 68.359 (68.612)
Epoch: [78][1880/7045]	Time 0.576 (0.243)	Data 0.518 (0.172)	Loss 2.5747 (2.5284)	Prec@1 35.156 (38.696)	Prec@5 67.188 (68.612)
Epoch: [78][1890/7045]	Time 0.101 (0.242)	Data 0.001 (0.172)	Loss 2.5409 (2.5284)	Prec@1 39.844 (38.696)	Prec@5 70.703 (68.614)
Epoch: [78][1900/7045]	Time 0.552 (0.242)	Data 0.500 (0.172)	Loss 2.5318 (2.5287)	Prec@1 34.375 (38.688)	Prec@5 70.312 (68.609)
Epoch: [78][1910/7045]	Time 0.120 (0.242)	Data 0.068 (0.172)	Loss 2.6569 (2.5287)	Prec@1 35.156 (38.690)	Prec@5 67.969 (68.606)
Epoch: [78][1920/7045]	Time 0.550 (0.242)	Data 0.497 (0.172)	Loss 2.6283 (2.5288)	Prec@1 36.719 (38.688)	Prec@5 65.625 (68.607)
Epoch: [78][1930/7045]	Time 0.108 (0.242)	Data 0.005 (0.172)	Loss 2.4115 (2.5287)	Prec@1 40.625 (38.693)	Prec@5 70.703 (68.609)
Epoch: [78][1940/7045]	Time 0.511 (0.242)	Data 0.457 (0.172)	Loss 2.8182 (2.5285)	Prec@1 31.250 (38.685)	Prec@5 62.891 (68.613)
Epoch: [78][1950/7045]	Time 0.101 (0.242)	Data 0.005 (0.172)	Loss 2.5134 (2.5284)	Prec@1 37.500 (38.690)	Prec@5 67.188 (68.610)
Epoch: [78][1960/7045]	Time 0.405 (0.242)	Data 0.352 (0.173)	Loss 2.6428 (2.5284)	Prec@1 38.281 (38.697)	Prec@5 67.578 (68.610)
Epoch: [78][1970/7045]	Time 0.102 (0.242)	Data 0.005 (0.172)	Loss 2.4012 (2.5285)	Prec@1 40.625 (38.694)	Prec@5 70.703 (68.607)
Epoch: [78][1980/7045]	Time 0.463 (0.242)	Data 0.410 (0.173)	Loss 2.5781 (2.5289)	Prec@1 40.625 (38.694)	Prec@5 68.359 (68.599)
Epoch: [78][1990/7045]	Time 0.109 (0.242)	Data 0.006 (0.172)	Loss 2.3577 (2.5291)	Prec@1 44.922 (38.693)	Prec@5 71.094 (68.592)
Epoch: [78][2000/7045]	Time 0.474 (0.242)	Data 0.421 (0.173)	Loss 2.4230 (2.5291)	Prec@1 39.453 (38.695)	Prec@5 68.750 (68.592)
Epoch: [78][2010/7045]	Time 0.178 (0.242)	Data 0.121 (0.173)	Loss 2.5056 (2.5289)	Prec@1 38.281 (38.694)	Prec@5 70.312 (68.593)
Epoch: [78][2020/7045]	Time 0.447 (0.242)	Data 0.388 (0.173)	Loss 2.6297 (2.5291)	Prec@1 38.281 (38.699)	Prec@5 67.578 (68.589)
Epoch: [78][2030/7045]	Time 0.191 (0.242)	Data 0.139 (0.173)	Loss 2.7242 (2.5294)	Prec@1 33.984 (38.690)	Prec@5 64.062 (68.585)
Epoch: [78][2040/7045]	Time 0.362 (0.242)	Data 0.310 (0.173)	Loss 2.6815 (2.5294)	Prec@1 37.500 (38.688)	Prec@5 68.750 (68.584)
Epoch: [78][2050/7045]	Time 0.134 (0.242)	Data 0.081 (0.173)	Loss 2.5794 (2.5294)	Prec@1 35.156 (38.683)	Prec@5 66.406 (68.580)
Epoch: [78][2060/7045]	Time 0.109 (0.242)	Data 0.001 (0.173)	Loss 2.4790 (2.5297)	Prec@1 43.359 (38.678)	Prec@5 67.188 (68.574)
Epoch: [78][2070/7045]	Time 0.101 (0.242)	Data 0.005 (0.173)	Loss 2.5085 (2.5298)	Prec@1 39.062 (38.677)	Prec@5 70.312 (68.571)
Epoch: [78][2080/7045]	Time 0.108 (0.242)	Data 0.007 (0.173)	Loss 2.5788 (2.5298)	Prec@1 36.328 (38.675)	Prec@5 65.625 (68.570)
Epoch: [78][2090/7045]	Time 0.103 (0.242)	Data 0.001 (0.172)	Loss 2.7016 (2.5297)	Prec@1 40.234 (38.683)	Prec@5 60.938 (68.563)
Epoch: [78][2100/7045]	Time 0.107 (0.242)	Data 0.006 (0.173)	Loss 2.3741 (2.5301)	Prec@1 39.062 (38.674)	Prec@5 70.312 (68.554)
Epoch: [78][2110/7045]	Time 0.102 (0.242)	Data 0.001 (0.172)	Loss 2.5423 (2.5303)	Prec@1 41.016 (38.672)	Prec@5 72.266 (68.548)
Epoch: [78][2120/7045]	Time 0.109 (0.242)	Data 0.007 (0.172)	Loss 2.5344 (2.5299)	Prec@1 34.375 (38.671)	Prec@5 67.969 (68.553)
Epoch: [78][2130/7045]	Time 0.102 (0.242)	Data 0.004 (0.172)	Loss 2.4524 (2.5298)	Prec@1 44.531 (38.671)	Prec@5 69.141 (68.556)
Epoch: [78][2140/7045]	Time 0.108 (0.242)	Data 0.006 (0.172)	Loss 2.5743 (2.5299)	Prec@1 36.719 (38.668)	Prec@5 67.188 (68.553)
Epoch: [78][2150/7045]	Time 0.102 (0.242)	Data 0.044 (0.172)	Loss 2.6972 (2.5299)	Prec@1 36.328 (38.669)	Prec@5 66.016 (68.555)
Epoch: [78][2160/7045]	Time 0.108 (0.242)	Data 0.008 (0.172)	Loss 2.4593 (2.5300)	Prec@1 39.062 (38.669)	Prec@5 70.703 (68.555)
Epoch: [78][2170/7045]	Time 0.107 (0.242)	Data 0.054 (0.172)	Loss 2.3827 (2.5300)	Prec@1 44.531 (38.668)	Prec@5 70.703 (68.556)
Epoch: [78][2180/7045]	Time 0.109 (0.242)	Data 0.055 (0.172)	Loss 2.5549 (2.5302)	Prec@1 34.375 (38.664)	Prec@5 67.188 (68.552)
Epoch: [78][2190/7045]	Time 0.108 (0.242)	Data 0.056 (0.172)	Loss 2.5123 (2.5304)	Prec@1 41.406 (38.662)	Prec@5 67.188 (68.546)
Epoch: [78][2200/7045]	Time 0.172 (0.242)	Data 0.121 (0.172)	Loss 2.5993 (2.5308)	Prec@1 35.156 (38.652)	Prec@5 67.578 (68.540)
Epoch: [78][2210/7045]	Time 0.219 (0.242)	Data 0.167 (0.172)	Loss 2.5282 (2.5310)	Prec@1 39.453 (38.650)	Prec@5 66.797 (68.533)
Epoch: [78][2220/7045]	Time 0.111 (0.242)	Data 0.060 (0.172)	Loss 2.5273 (2.5308)	Prec@1 37.891 (38.656)	Prec@5 66.797 (68.534)
Epoch: [78][2230/7045]	Time 0.244 (0.242)	Data 0.193 (0.172)	Loss 2.4608 (2.5312)	Prec@1 41.016 (38.648)	Prec@5 72.266 (68.531)
Epoch: [78][2240/7045]	Time 0.168 (0.242)	Data 0.116 (0.172)	Loss 2.5807 (2.5311)	Prec@1 36.328 (38.651)	Prec@5 69.141 (68.536)
Epoch: [78][2250/7045]	Time 0.238 (0.242)	Data 0.186 (0.172)	Loss 2.5746 (2.5311)	Prec@1 39.844 (38.649)	Prec@5 69.531 (68.535)
Epoch: [78][2260/7045]	Time 0.151 (0.242)	Data 0.099 (0.172)	Loss 2.4180 (2.5311)	Prec@1 39.062 (38.646)	Prec@5 68.359 (68.537)
Epoch: [78][2270/7045]	Time 0.225 (0.242)	Data 0.173 (0.172)	Loss 2.7965 (2.5313)	Prec@1 35.156 (38.638)	Prec@5 64.453 (68.534)
Epoch: [78][2280/7045]	Time 0.107 (0.242)	Data 0.053 (0.172)	Loss 2.3514 (2.5316)	Prec@1 41.016 (38.635)	Prec@5 73.047 (68.529)
Epoch: [78][2290/7045]	Time 0.238 (0.242)	Data 0.186 (0.172)	Loss 2.6042 (2.5316)	Prec@1 35.547 (38.636)	Prec@5 66.016 (68.529)
Epoch: [78][2300/7045]	Time 0.137 (0.242)	Data 0.086 (0.172)	Loss 2.4622 (2.5315)	Prec@1 41.797 (38.640)	Prec@5 69.922 (68.530)
Epoch: [78][2310/7045]	Time 0.268 (0.242)	Data 0.216 (0.172)	Loss 2.3530 (2.5316)	Prec@1 46.094 (38.642)	Prec@5 71.875 (68.527)
Epoch: [78][2320/7045]	Time 0.113 (0.242)	Data 0.060 (0.172)	Loss 2.4664 (2.5314)	Prec@1 40.234 (38.644)	Prec@5 71.484 (68.531)
Epoch: [78][2330/7045]	Time 0.199 (0.242)	Data 0.148 (0.172)	Loss 2.4270 (2.5315)	Prec@1 43.359 (38.645)	Prec@5 73.438 (68.531)
Epoch: [78][2340/7045]	Time 0.168 (0.242)	Data 0.115 (0.172)	Loss 2.4333 (2.5313)	Prec@1 39.453 (38.645)	Prec@5 70.703 (68.534)
Epoch: [78][2350/7045]	Time 0.258 (0.242)	Data 0.206 (0.172)	Loss 2.6205 (2.5313)	Prec@1 35.938 (38.648)	Prec@5 65.625 (68.533)
Epoch: [78][2360/7045]	Time 0.109 (0.242)	Data 0.057 (0.172)	Loss 2.5124 (2.5313)	Prec@1 37.891 (38.645)	Prec@5 67.969 (68.530)
Epoch: [78][2370/7045]	Time 0.339 (0.242)	Data 0.288 (0.172)	Loss 2.6297 (2.5315)	Prec@1 35.547 (38.641)	Prec@5 66.406 (68.522)
Epoch: [78][2380/7045]	Time 0.207 (0.242)	Data 0.154 (0.172)	Loss 2.3430 (2.5313)	Prec@1 42.578 (38.647)	Prec@5 73.438 (68.526)
Epoch: [78][2390/7045]	Time 0.360 (0.242)	Data 0.307 (0.172)	Loss 2.5173 (2.5313)	Prec@1 38.281 (38.645)	Prec@5 68.750 (68.526)
Epoch: [78][2400/7045]	Time 0.143 (0.242)	Data 0.091 (0.172)	Loss 2.4537 (2.5313)	Prec@1 42.188 (38.648)	Prec@5 69.531 (68.531)
Epoch: [78][2410/7045]	Time 0.339 (0.242)	Data 0.287 (0.172)	Loss 2.5494 (2.5313)	Prec@1 39.844 (38.647)	Prec@5 69.922 (68.530)
Epoch: [78][2420/7045]	Time 0.114 (0.242)	Data 0.062 (0.172)	Loss 2.7146 (2.5313)	Prec@1 35.547 (38.649)	Prec@5 66.406 (68.528)
Epoch: [78][2430/7045]	Time 0.364 (0.242)	Data 0.313 (0.172)	Loss 2.5746 (2.5316)	Prec@1 36.719 (38.640)	Prec@5 66.016 (68.522)
Epoch: [78][2440/7045]	Time 0.111 (0.242)	Data 0.051 (0.172)	Loss 2.7349 (2.5316)	Prec@1 34.375 (38.642)	Prec@5 63.281 (68.520)
Epoch: [78][2450/7045]	Time 0.434 (0.242)	Data 0.381 (0.173)	Loss 2.9493 (2.5316)	Prec@1 30.469 (38.645)	Prec@5 63.281 (68.523)
Epoch: [78][2460/7045]	Time 0.109 (0.242)	Data 0.056 (0.173)	Loss 2.4487 (2.5317)	Prec@1 40.625 (38.640)	Prec@5 73.047 (68.521)
Epoch: [78][2470/7045]	Time 0.440 (0.242)	Data 0.388 (0.173)	Loss 2.6043 (2.5317)	Prec@1 37.500 (38.638)	Prec@5 63.672 (68.518)
Epoch: [78][2480/7045]	Time 0.113 (0.242)	Data 0.060 (0.173)	Loss 2.5618 (2.5316)	Prec@1 38.672 (38.635)	Prec@5 66.797 (68.517)
Epoch: [78][2490/7045]	Time 0.458 (0.242)	Data 0.406 (0.173)	Loss 2.5382 (2.5314)	Prec@1 43.750 (38.642)	Prec@5 70.312 (68.525)
Epoch: [78][2500/7045]	Time 0.202 (0.242)	Data 0.143 (0.173)	Loss 2.6025 (2.5314)	Prec@1 39.844 (38.640)	Prec@5 66.406 (68.525)
Epoch: [78][2510/7045]	Time 0.507 (0.242)	Data 0.454 (0.173)	Loss 2.7568 (2.5313)	Prec@1 31.250 (38.640)	Prec@5 66.016 (68.528)
Epoch: [78][2520/7045]	Time 0.106 (0.242)	Data 0.053 (0.173)	Loss 2.6047 (2.5313)	Prec@1 34.766 (38.642)	Prec@5 71.484 (68.534)
Epoch: [78][2530/7045]	Time 0.386 (0.242)	Data 0.334 (0.173)	Loss 2.6916 (2.5316)	Prec@1 32.812 (38.636)	Prec@5 62.891 (68.527)
Epoch: [78][2540/7045]	Time 0.146 (0.242)	Data 0.093 (0.173)	Loss 2.3863 (2.5316)	Prec@1 38.672 (38.635)	Prec@5 73.828 (68.529)
Epoch: [78][2550/7045]	Time 0.432 (0.242)	Data 0.380 (0.173)	Loss 2.3846 (2.5315)	Prec@1 43.750 (38.636)	Prec@5 71.484 (68.529)
Epoch: [78][2560/7045]	Time 0.177 (0.242)	Data 0.125 (0.173)	Loss 2.4738 (2.5316)	Prec@1 39.844 (38.635)	Prec@5 68.750 (68.529)
Epoch: [78][2570/7045]	Time 0.382 (0.242)	Data 0.332 (0.173)	Loss 2.4789 (2.5315)	Prec@1 42.188 (38.637)	Prec@5 70.312 (68.530)
Epoch: [78][2580/7045]	Time 0.162 (0.242)	Data 0.109 (0.173)	Loss 2.4029 (2.5314)	Prec@1 40.625 (38.642)	Prec@5 69.922 (68.531)
Epoch: [78][2590/7045]	Time 0.446 (0.242)	Data 0.394 (0.173)	Loss 2.3126 (2.5315)	Prec@1 47.266 (38.637)	Prec@5 71.875 (68.528)
Epoch: [78][2600/7045]	Time 0.254 (0.242)	Data 0.203 (0.173)	Loss 2.5267 (2.5316)	Prec@1 39.062 (38.637)	Prec@5 72.266 (68.525)
Epoch: [78][2610/7045]	Time 0.345 (0.242)	Data 0.293 (0.173)	Loss 2.5524 (2.5316)	Prec@1 38.672 (38.638)	Prec@5 69.922 (68.528)
Epoch: [78][2620/7045]	Time 0.256 (0.242)	Data 0.204 (0.173)	Loss 2.4711 (2.5318)	Prec@1 40.234 (38.635)	Prec@5 67.188 (68.523)
Epoch: [78][2630/7045]	Time 0.364 (0.242)	Data 0.306 (0.173)	Loss 2.6574 (2.5318)	Prec@1 39.062 (38.636)	Prec@5 63.281 (68.521)
Epoch: [78][2640/7045]	Time 0.267 (0.242)	Data 0.216 (0.173)	Loss 2.5415 (2.5320)	Prec@1 37.891 (38.629)	Prec@5 66.016 (68.518)
Epoch: [78][2650/7045]	Time 0.436 (0.242)	Data 0.383 (0.174)	Loss 2.4207 (2.5322)	Prec@1 41.406 (38.623)	Prec@5 69.531 (68.517)
Epoch: [78][2660/7045]	Time 0.193 (0.242)	Data 0.141 (0.174)	Loss 2.5771 (2.5323)	Prec@1 37.891 (38.624)	Prec@5 65.234 (68.516)
Epoch: [78][2670/7045]	Time 0.382 (0.242)	Data 0.330 (0.174)	Loss 2.2888 (2.5323)	Prec@1 43.359 (38.621)	Prec@5 73.438 (68.514)
Epoch: [78][2680/7045]	Time 0.383 (0.242)	Data 0.321 (0.174)	Loss 2.5962 (2.5322)	Prec@1 38.281 (38.621)	Prec@5 66.016 (68.516)
Epoch: [78][2690/7045]	Time 0.338 (0.242)	Data 0.280 (0.174)	Loss 2.3503 (2.5321)	Prec@1 40.234 (38.622)	Prec@5 70.703 (68.516)
Epoch: [78][2700/7045]	Time 0.428 (0.242)	Data 0.376 (0.174)	Loss 2.6157 (2.5320)	Prec@1 37.109 (38.622)	Prec@5 64.844 (68.519)
Epoch: [78][2710/7045]	Time 0.336 (0.242)	Data 0.285 (0.174)	Loss 2.4369 (2.5321)	Prec@1 40.625 (38.618)	Prec@5 72.266 (68.520)
Epoch: [78][2720/7045]	Time 0.408 (0.242)	Data 0.356 (0.174)	Loss 2.3982 (2.5322)	Prec@1 42.969 (38.616)	Prec@5 69.141 (68.517)
Epoch: [78][2730/7045]	Time 0.345 (0.242)	Data 0.293 (0.174)	Loss 2.6163 (2.5321)	Prec@1 36.328 (38.618)	Prec@5 70.312 (68.520)
Epoch: [78][2740/7045]	Time 0.388 (0.242)	Data 0.336 (0.174)	Loss 2.4358 (2.5320)	Prec@1 37.109 (38.618)	Prec@5 71.875 (68.519)
Epoch: [78][2750/7045]	Time 0.276 (0.242)	Data 0.224 (0.174)	Loss 2.6667 (2.5321)	Prec@1 37.109 (38.615)	Prec@5 64.844 (68.518)
Epoch: [78][2760/7045]	Time 0.358 (0.242)	Data 0.307 (0.174)	Loss 2.5236 (2.5321)	Prec@1 33.203 (38.609)	Prec@5 66.797 (68.518)
Epoch: [78][2770/7045]	Time 0.313 (0.242)	Data 0.261 (0.174)	Loss 2.4611 (2.5321)	Prec@1 37.891 (38.609)	Prec@5 69.922 (68.521)
Epoch: [78][2780/7045]	Time 0.342 (0.242)	Data 0.289 (0.174)	Loss 2.5789 (2.5325)	Prec@1 38.281 (38.605)	Prec@5 70.312 (68.512)
Epoch: [78][2790/7045]	Time 0.152 (0.242)	Data 0.101 (0.174)	Loss 2.5808 (2.5326)	Prec@1 37.109 (38.601)	Prec@5 66.016 (68.509)
Epoch: [78][2800/7045]	Time 0.349 (0.242)	Data 0.297 (0.174)	Loss 2.5947 (2.5326)	Prec@1 40.625 (38.603)	Prec@5 67.188 (68.510)
Epoch: [78][2810/7045]	Time 0.135 (0.242)	Data 0.082 (0.174)	Loss 2.4912 (2.5325)	Prec@1 37.891 (38.604)	Prec@5 70.703 (68.511)
Epoch: [78][2820/7045]	Time 0.307 (0.242)	Data 0.256 (0.174)	Loss 2.4475 (2.5323)	Prec@1 39.844 (38.607)	Prec@5 70.312 (68.515)
Epoch: [78][2830/7045]	Time 0.103 (0.242)	Data 0.051 (0.174)	Loss 2.6517 (2.5322)	Prec@1 37.891 (38.611)	Prec@5 66.016 (68.515)
Epoch: [78][2840/7045]	Time 0.240 (0.241)	Data 0.188 (0.174)	Loss 2.7728 (2.5323)	Prec@1 35.938 (38.605)	Prec@5 62.500 (68.512)
Epoch: [78][2850/7045]	Time 0.103 (0.242)	Data 0.001 (0.174)	Loss 2.6860 (2.5322)	Prec@1 35.156 (38.605)	Prec@5 65.625 (68.512)
Epoch: [78][2860/7045]	Time 0.160 (0.241)	Data 0.107 (0.174)	Loss 2.6432 (2.5325)	Prec@1 35.156 (38.598)	Prec@5 63.672 (68.505)
Epoch: [78][2870/7045]	Time 0.102 (0.242)	Data 0.003 (0.174)	Loss 2.6749 (2.5326)	Prec@1 39.062 (38.595)	Prec@5 64.453 (68.499)
Epoch: [78][2880/7045]	Time 0.217 (0.241)	Data 0.165 (0.174)	Loss 2.5568 (2.5328)	Prec@1 36.719 (38.591)	Prec@5 67.578 (68.498)
Epoch: [78][2890/7045]	Time 0.108 (0.242)	Data 0.001 (0.174)	Loss 2.6663 (2.5328)	Prec@1 33.594 (38.589)	Prec@5 67.969 (68.498)
Epoch: [78][2900/7045]	Time 0.217 (0.241)	Data 0.165 (0.174)	Loss 2.3511 (2.5328)	Prec@1 44.922 (38.591)	Prec@5 71.875 (68.497)
Epoch: [78][2910/7045]	Time 0.109 (0.241)	Data 0.006 (0.174)	Loss 2.5590 (2.5326)	Prec@1 38.672 (38.595)	Prec@5 68.750 (68.501)
Epoch: [78][2920/7045]	Time 0.164 (0.241)	Data 0.112 (0.174)	Loss 2.5927 (2.5325)	Prec@1 39.453 (38.599)	Prec@5 65.625 (68.502)
Epoch: [78][2930/7045]	Time 0.102 (0.241)	Data 0.003 (0.174)	Loss 2.6408 (2.5327)	Prec@1 35.156 (38.595)	Prec@5 64.844 (68.497)
Epoch: [78][2940/7045]	Time 0.243 (0.241)	Data 0.191 (0.174)	Loss 2.5869 (2.5329)	Prec@1 39.062 (38.591)	Prec@5 66.797 (68.491)
Epoch: [78][2950/7045]	Time 0.103 (0.241)	Data 0.006 (0.174)	Loss 2.4867 (2.5329)	Prec@1 39.062 (38.594)	Prec@5 66.797 (68.490)
Epoch: [78][2960/7045]	Time 0.284 (0.241)	Data 0.231 (0.174)	Loss 2.5277 (2.5329)	Prec@1 39.062 (38.595)	Prec@5 68.750 (68.492)
Epoch: [78][2970/7045]	Time 0.103 (0.241)	Data 0.004 (0.174)	Loss 2.6496 (2.5330)	Prec@1 35.156 (38.592)	Prec@5 67.188 (68.490)
Epoch: [78][2980/7045]	Time 0.187 (0.241)	Data 0.134 (0.174)	Loss 2.4679 (2.5330)	Prec@1 41.016 (38.592)	Prec@5 69.922 (68.488)
Epoch: [78][2990/7045]	Time 0.102 (0.241)	Data 0.001 (0.174)	Loss 2.5505 (2.5328)	Prec@1 35.156 (38.595)	Prec@5 67.188 (68.488)
Epoch: [78][3000/7045]	Time 0.131 (0.241)	Data 0.078 (0.174)	Loss 2.4732 (2.5327)	Prec@1 38.281 (38.598)	Prec@5 71.875 (68.490)
Epoch: [78][3010/7045]	Time 0.102 (0.241)	Data 0.001 (0.174)	Loss 2.6444 (2.5328)	Prec@1 36.719 (38.594)	Prec@5 65.625 (68.485)
Epoch: [78][3020/7045]	Time 0.174 (0.241)	Data 0.122 (0.174)	Loss 2.7783 (2.5327)	Prec@1 32.812 (38.594)	Prec@5 64.844 (68.489)
Epoch: [78][3030/7045]	Time 0.102 (0.241)	Data 0.001 (0.174)	Loss 2.6511 (2.5327)	Prec@1 34.766 (38.593)	Prec@5 65.234 (68.490)
Epoch: [78][3040/7045]	Time 0.242 (0.241)	Data 0.190 (0.174)	Loss 2.6105 (2.5324)	Prec@1 38.281 (38.597)	Prec@5 68.359 (68.494)
Epoch: [78][3050/7045]	Time 0.103 (0.241)	Data 0.001 (0.174)	Loss 2.3805 (2.5325)	Prec@1 42.188 (38.599)	Prec@5 71.875 (68.493)
Epoch: [78][3060/7045]	Time 0.170 (0.241)	Data 0.117 (0.174)	Loss 2.3975 (2.5324)	Prec@1 39.844 (38.600)	Prec@5 71.484 (68.495)
Epoch: [78][3070/7045]	Time 0.107 (0.241)	Data 0.054 (0.174)	Loss 2.5539 (2.5321)	Prec@1 38.672 (38.601)	Prec@5 68.750 (68.498)
Epoch: [78][3080/7045]	Time 0.182 (0.241)	Data 0.130 (0.174)	Loss 2.5727 (2.5320)	Prec@1 34.375 (38.603)	Prec@5 66.797 (68.502)
Epoch: [78][3090/7045]	Time 0.102 (0.241)	Data 0.005 (0.174)	Loss 2.7686 (2.5321)	Prec@1 31.641 (38.604)	Prec@5 63.281 (68.498)
Epoch: [78][3100/7045]	Time 0.165 (0.241)	Data 0.112 (0.174)	Loss 2.6833 (2.5322)	Prec@1 37.109 (38.601)	Prec@5 67.969 (68.499)
Epoch: [78][3110/7045]	Time 0.102 (0.241)	Data 0.004 (0.174)	Loss 2.4917 (2.5323)	Prec@1 38.672 (38.599)	Prec@5 70.312 (68.495)
Epoch: [78][3120/7045]	Time 0.106 (0.241)	Data 0.052 (0.174)	Loss 2.5445 (2.5325)	Prec@1 40.234 (38.597)	Prec@5 71.094 (68.493)
Epoch: [78][3130/7045]	Time 0.106 (0.241)	Data 0.053 (0.174)	Loss 2.7316 (2.5326)	Prec@1 33.203 (38.598)	Prec@5 65.234 (68.488)
Epoch: [78][3140/7045]	Time 0.101 (0.241)	Data 0.006 (0.174)	Loss 2.4379 (2.5325)	Prec@1 36.328 (38.594)	Prec@5 70.703 (68.489)
Epoch: [78][3150/7045]	Time 0.211 (0.241)	Data 0.158 (0.174)	Loss 2.6282 (2.5327)	Prec@1 32.812 (38.587)	Prec@5 67.969 (68.488)
Epoch: [78][3160/7045]	Time 0.102 (0.241)	Data 0.005 (0.174)	Loss 2.7360 (2.5329)	Prec@1 34.766 (38.583)	Prec@5 65.625 (68.480)
Epoch: [78][3170/7045]	Time 0.213 (0.241)	Data 0.161 (0.174)	Loss 2.6259 (2.5331)	Prec@1 33.984 (38.579)	Prec@5 64.453 (68.479)
Epoch: [78][3180/7045]	Time 0.108 (0.241)	Data 0.055 (0.174)	Loss 2.5180 (2.5331)	Prec@1 37.109 (38.579)	Prec@5 69.141 (68.478)
Epoch: [78][3190/7045]	Time 0.214 (0.241)	Data 0.162 (0.174)	Loss 2.4698 (2.5329)	Prec@1 35.547 (38.582)	Prec@5 69.531 (68.482)
Epoch: [78][3200/7045]	Time 0.102 (0.241)	Data 0.003 (0.174)	Loss 2.3781 (2.5328)	Prec@1 40.234 (38.585)	Prec@5 69.922 (68.483)
Epoch: [78][3210/7045]	Time 0.145 (0.241)	Data 0.093 (0.174)	Loss 2.7274 (2.5328)	Prec@1 33.203 (38.583)	Prec@5 66.797 (68.481)
Epoch: [78][3220/7045]	Time 0.102 (0.241)	Data 0.004 (0.174)	Loss 2.4701 (2.5328)	Prec@1 41.016 (38.579)	Prec@5 70.312 (68.480)
Epoch: [78][3230/7045]	Time 0.140 (0.241)	Data 0.086 (0.174)	Loss 2.4140 (2.5326)	Prec@1 42.578 (38.584)	Prec@5 68.359 (68.484)
Epoch: [78][3240/7045]	Time 0.103 (0.241)	Data 0.002 (0.174)	Loss 2.4513 (2.5325)	Prec@1 44.141 (38.585)	Prec@5 69.531 (68.487)
Epoch: [78][3250/7045]	Time 0.101 (0.241)	Data 0.044 (0.174)	Loss 2.5962 (2.5325)	Prec@1 37.109 (38.584)	Prec@5 69.922 (68.488)
Epoch: [78][3260/7045]	Time 0.102 (0.241)	Data 0.005 (0.174)	Loss 2.5733 (2.5326)	Prec@1 39.453 (38.584)	Prec@5 69.531 (68.491)
Epoch: [78][3270/7045]	Time 0.102 (0.241)	Data 0.001 (0.174)	Loss 2.6379 (2.5326)	Prec@1 35.938 (38.581)	Prec@5 70.703 (68.488)
Epoch: [78][3280/7045]	Time 0.153 (0.241)	Data 0.099 (0.174)	Loss 2.4101 (2.5327)	Prec@1 41.406 (38.581)	Prec@5 71.094 (68.486)
Epoch: [78][3290/7045]	Time 0.136 (0.241)	Data 0.083 (0.174)	Loss 2.6411 (2.5330)	Prec@1 36.719 (38.572)	Prec@5 66.406 (68.480)
Epoch: [78][3300/7045]	Time 0.215 (0.241)	Data 0.162 (0.174)	Loss 2.4824 (2.5329)	Prec@1 41.797 (38.574)	Prec@5 66.016 (68.480)
Epoch: [78][3310/7045]	Time 0.248 (0.241)	Data 0.191 (0.174)	Loss 2.8342 (2.5330)	Prec@1 27.734 (38.569)	Prec@5 63.281 (68.479)
Epoch: [78][3320/7045]	Time 0.176 (0.241)	Data 0.124 (0.174)	Loss 2.3984 (2.5330)	Prec@1 37.500 (38.570)	Prec@5 71.484 (68.477)
Epoch: [78][3330/7045]	Time 0.306 (0.241)	Data 0.254 (0.175)	Loss 2.7361 (2.5330)	Prec@1 34.766 (38.568)	Prec@5 63.281 (68.476)
Epoch: [78][3340/7045]	Time 0.212 (0.241)	Data 0.160 (0.175)	Loss 2.5199 (2.5333)	Prec@1 37.891 (38.566)	Prec@5 69.141 (68.470)
Epoch: [78][3350/7045]	Time 0.325 (0.241)	Data 0.274 (0.175)	Loss 2.4673 (2.5334)	Prec@1 41.797 (38.564)	Prec@5 72.656 (68.469)
Epoch: [78][3360/7045]	Time 0.181 (0.241)	Data 0.130 (0.175)	Loss 2.6948 (2.5332)	Prec@1 33.203 (38.565)	Prec@5 65.234 (68.471)
Epoch: [78][3370/7045]	Time 0.402 (0.241)	Data 0.350 (0.175)	Loss 2.3250 (2.5331)	Prec@1 39.062 (38.566)	Prec@5 73.047 (68.473)
Epoch: [78][3380/7045]	Time 0.153 (0.241)	Data 0.101 (0.175)	Loss 2.6810 (2.5330)	Prec@1 37.109 (38.571)	Prec@5 63.281 (68.476)
Epoch: [78][3390/7045]	Time 0.466 (0.241)	Data 0.413 (0.175)	Loss 2.5419 (2.5329)	Prec@1 38.672 (38.571)	Prec@5 64.453 (68.478)
Epoch: [78][3400/7045]	Time 0.102 (0.241)	Data 0.050 (0.175)	Loss 2.6051 (2.5327)	Prec@1 33.984 (38.575)	Prec@5 68.750 (68.483)
Epoch: [78][3410/7045]	Time 0.574 (0.241)	Data 0.521 (0.175)	Loss 2.5069 (2.5328)	Prec@1 38.281 (38.570)	Prec@5 67.578 (68.478)
Epoch: [78][3420/7045]	Time 0.137 (0.241)	Data 0.086 (0.175)	Loss 2.6755 (2.5328)	Prec@1 35.938 (38.571)	Prec@5 67.969 (68.482)
Epoch: [78][3430/7045]	Time 0.518 (0.241)	Data 0.466 (0.175)	Loss 2.4602 (2.5326)	Prec@1 39.844 (38.574)	Prec@5 68.750 (68.486)
Epoch: [78][3440/7045]	Time 0.245 (0.241)	Data 0.194 (0.175)	Loss 2.7801 (2.5327)	Prec@1 35.938 (38.576)	Prec@5 62.109 (68.482)
Epoch: [78][3450/7045]	Time 0.451 (0.241)	Data 0.401 (0.175)	Loss 2.3336 (2.5326)	Prec@1 45.703 (38.577)	Prec@5 69.922 (68.481)
Epoch: [78][3460/7045]	Time 0.288 (0.241)	Data 0.236 (0.175)	Loss 2.7547 (2.5327)	Prec@1 33.984 (38.576)	Prec@5 64.453 (68.476)
Epoch: [78][3470/7045]	Time 0.448 (0.241)	Data 0.397 (0.175)	Loss 2.5663 (2.5327)	Prec@1 35.938 (38.576)	Prec@5 69.922 (68.477)
Epoch: [78][3480/7045]	Time 0.286 (0.241)	Data 0.234 (0.175)	Loss 2.6314 (2.5328)	Prec@1 37.500 (38.576)	Prec@5 66.016 (68.477)
Epoch: [78][3490/7045]	Time 0.394 (0.241)	Data 0.335 (0.175)	Loss 2.5546 (2.5328)	Prec@1 38.672 (38.575)	Prec@5 66.016 (68.477)
Epoch: [78][3500/7045]	Time 0.314 (0.241)	Data 0.263 (0.175)	Loss 2.5182 (2.5329)	Prec@1 38.281 (38.572)	Prec@5 67.188 (68.475)
Epoch: [78][3510/7045]	Time 0.376 (0.241)	Data 0.319 (0.175)	Loss 2.5827 (2.5331)	Prec@1 40.234 (38.569)	Prec@5 70.312 (68.472)
Epoch: [78][3520/7045]	Time 0.317 (0.241)	Data 0.266 (0.175)	Loss 2.4051 (2.5330)	Prec@1 39.844 (38.571)	Prec@5 69.141 (68.474)
Epoch: [78][3530/7045]	Time 0.343 (0.241)	Data 0.284 (0.175)	Loss 2.6520 (2.5330)	Prec@1 34.375 (38.568)	Prec@5 65.625 (68.472)
Epoch: [78][3540/7045]	Time 0.420 (0.241)	Data 0.368 (0.175)	Loss 2.4215 (2.5329)	Prec@1 39.844 (38.567)	Prec@5 71.875 (68.476)
Epoch: [78][3550/7045]	Time 0.372 (0.241)	Data 0.321 (0.175)	Loss 2.5330 (2.5331)	Prec@1 39.453 (38.567)	Prec@5 67.969 (68.471)
Epoch: [78][3560/7045]	Time 0.415 (0.241)	Data 0.363 (0.175)	Loss 2.6268 (2.5334)	Prec@1 37.109 (38.562)	Prec@5 67.578 (68.463)
Epoch: [78][3570/7045]	Time 0.243 (0.241)	Data 0.183 (0.175)	Loss 2.5652 (2.5334)	Prec@1 39.453 (38.562)	Prec@5 65.625 (68.460)
Epoch: [78][3580/7045]	Time 0.482 (0.241)	Data 0.432 (0.175)	Loss 2.6192 (2.5335)	Prec@1 37.109 (38.558)	Prec@5 65.234 (68.459)
Epoch: [78][3590/7045]	Time 0.252 (0.241)	Data 0.192 (0.175)	Loss 2.5880 (2.5337)	Prec@1 35.938 (38.551)	Prec@5 65.625 (68.453)
Epoch: [78][3600/7045]	Time 0.512 (0.241)	Data 0.453 (0.175)	Loss 2.6526 (2.5337)	Prec@1 32.422 (38.553)	Prec@5 65.625 (68.457)
Epoch: [78][3610/7045]	Time 0.229 (0.241)	Data 0.177 (0.175)	Loss 2.4309 (2.5337)	Prec@1 38.672 (38.549)	Prec@5 69.141 (68.457)
Epoch: [78][3620/7045]	Time 0.479 (0.241)	Data 0.420 (0.175)	Loss 2.4033 (2.5336)	Prec@1 40.234 (38.551)	Prec@5 67.969 (68.459)
Epoch: [78][3630/7045]	Time 0.146 (0.241)	Data 0.094 (0.175)	Loss 2.6415 (2.5336)	Prec@1 36.328 (38.549)	Prec@5 66.016 (68.461)
Epoch: [78][3640/7045]	Time 0.556 (0.241)	Data 0.495 (0.175)	Loss 2.7587 (2.5337)	Prec@1 32.422 (38.547)	Prec@5 66.406 (68.464)
Epoch: [78][3650/7045]	Time 0.102 (0.241)	Data 0.005 (0.175)	Loss 2.3277 (2.5339)	Prec@1 41.406 (38.545)	Prec@5 70.312 (68.460)
Epoch: [78][3660/7045]	Time 0.457 (0.241)	Data 0.406 (0.175)	Loss 2.5582 (2.5341)	Prec@1 37.500 (38.542)	Prec@5 67.578 (68.453)
Epoch: [78][3670/7045]	Time 0.103 (0.241)	Data 0.001 (0.175)	Loss 2.6290 (2.5340)	Prec@1 38.281 (38.541)	Prec@5 65.625 (68.455)
Epoch: [78][3680/7045]	Time 0.482 (0.241)	Data 0.430 (0.175)	Loss 2.4906 (2.5340)	Prec@1 40.625 (38.538)	Prec@5 66.797 (68.454)
Epoch: [78][3690/7045]	Time 0.102 (0.241)	Data 0.006 (0.175)	Loss 2.4148 (2.5340)	Prec@1 39.062 (38.537)	Prec@5 71.094 (68.454)
Epoch: [78][3700/7045]	Time 0.474 (0.241)	Data 0.422 (0.175)	Loss 2.3964 (2.5340)	Prec@1 36.719 (38.531)	Prec@5 72.266 (68.452)
Epoch: [78][3710/7045]	Time 0.101 (0.241)	Data 0.001 (0.175)	Loss 2.6663 (2.5340)	Prec@1 34.375 (38.528)	Prec@5 64.062 (68.452)
Epoch: [78][3720/7045]	Time 0.521 (0.241)	Data 0.470 (0.175)	Loss 2.4888 (2.5341)	Prec@1 37.500 (38.527)	Prec@5 66.016 (68.449)
Epoch: [78][3730/7045]	Time 0.109 (0.241)	Data 0.001 (0.175)	Loss 2.4566 (2.5341)	Prec@1 43.359 (38.529)	Prec@5 69.141 (68.447)
Epoch: [78][3740/7045]	Time 0.541 (0.241)	Data 0.490 (0.175)	Loss 2.5449 (2.5342)	Prec@1 39.062 (38.528)	Prec@5 69.141 (68.447)
Epoch: [78][3750/7045]	Time 0.103 (0.241)	Data 0.001 (0.175)	Loss 2.5461 (2.5339)	Prec@1 38.281 (38.530)	Prec@5 71.484 (68.453)
Epoch: [78][3760/7045]	Time 0.460 (0.241)	Data 0.407 (0.175)	Loss 2.5357 (2.5340)	Prec@1 41.406 (38.531)	Prec@5 71.875 (68.454)
Epoch: [78][3770/7045]	Time 0.102 (0.241)	Data 0.001 (0.175)	Loss 2.6861 (2.5341)	Prec@1 37.891 (38.529)	Prec@5 64.844 (68.450)
Epoch: [78][3780/7045]	Time 0.454 (0.241)	Data 0.401 (0.175)	Loss 2.5335 (2.5341)	Prec@1 37.891 (38.531)	Prec@5 67.578 (68.453)
Epoch: [78][3790/7045]	Time 0.102 (0.241)	Data 0.001 (0.175)	Loss 2.6184 (2.5340)	Prec@1 40.625 (38.531)	Prec@5 65.625 (68.454)
Epoch: [78][3800/7045]	Time 0.383 (0.241)	Data 0.330 (0.175)	Loss 2.7944 (2.5340)	Prec@1 30.078 (38.530)	Prec@5 64.844 (68.453)
Epoch: [78][3810/7045]	Time 0.102 (0.241)	Data 0.005 (0.175)	Loss 2.5778 (2.5340)	Prec@1 38.281 (38.532)	Prec@5 68.359 (68.453)
Epoch: [78][3820/7045]	Time 0.377 (0.241)	Data 0.324 (0.175)	Loss 2.3403 (2.5340)	Prec@1 40.234 (38.533)	Prec@5 70.703 (68.456)
Epoch: [78][3830/7045]	Time 0.102 (0.241)	Data 0.008 (0.175)	Loss 2.4524 (2.5338)	Prec@1 41.406 (38.535)	Prec@5 69.922 (68.458)
Epoch: [78][3840/7045]	Time 0.398 (0.241)	Data 0.345 (0.175)	Loss 2.4298 (2.5339)	Prec@1 39.453 (38.533)	Prec@5 71.875 (68.460)
Epoch: [78][3850/7045]	Time 0.101 (0.241)	Data 0.044 (0.175)	Loss 2.5473 (2.5337)	Prec@1 37.891 (38.536)	Prec@5 68.750 (68.464)
Epoch: [78][3860/7045]	Time 0.383 (0.241)	Data 0.331 (0.175)	Loss 2.7501 (2.5336)	Prec@1 33.594 (38.537)	Prec@5 69.531 (68.466)
Epoch: [78][3870/7045]	Time 0.142 (0.241)	Data 0.089 (0.175)	Loss 2.6085 (2.5338)	Prec@1 38.281 (38.536)	Prec@5 64.062 (68.461)
Epoch: [78][3880/7045]	Time 0.386 (0.241)	Data 0.334 (0.175)	Loss 2.6512 (2.5338)	Prec@1 35.938 (38.532)	Prec@5 67.578 (68.463)
Epoch: [78][3890/7045]	Time 0.161 (0.241)	Data 0.109 (0.175)	Loss 2.7502 (2.5338)	Prec@1 34.766 (38.531)	Prec@5 61.719 (68.462)
Epoch: [78][3900/7045]	Time 0.310 (0.241)	Data 0.258 (0.175)	Loss 2.5443 (2.5338)	Prec@1 37.891 (38.530)	Prec@5 66.797 (68.464)
Epoch: [78][3910/7045]	Time 0.139 (0.241)	Data 0.086 (0.175)	Loss 2.5333 (2.5338)	Prec@1 35.938 (38.528)	Prec@5 69.141 (68.464)
Epoch: [78][3920/7045]	Time 0.274 (0.241)	Data 0.221 (0.175)	Loss 2.4782 (2.5337)	Prec@1 41.406 (38.527)	Prec@5 68.359 (68.465)
Epoch: [78][3930/7045]	Time 0.191 (0.241)	Data 0.139 (0.175)	Loss 2.6958 (2.5338)	Prec@1 32.812 (38.523)	Prec@5 67.578 (68.463)
Epoch: [78][3940/7045]	Time 0.159 (0.241)	Data 0.105 (0.175)	Loss 2.6216 (2.5340)	Prec@1 41.406 (38.521)	Prec@5 66.406 (68.460)
Epoch: [78][3950/7045]	Time 0.243 (0.241)	Data 0.191 (0.175)	Loss 2.7236 (2.5340)	Prec@1 39.453 (38.521)	Prec@5 65.625 (68.460)
Epoch: [78][3960/7045]	Time 0.103 (0.241)	Data 0.043 (0.175)	Loss 2.5238 (2.5340)	Prec@1 38.281 (38.521)	Prec@5 70.312 (68.462)
Epoch: [78][3970/7045]	Time 0.219 (0.241)	Data 0.166 (0.175)	Loss 2.5367 (2.5339)	Prec@1 36.328 (38.526)	Prec@5 67.969 (68.464)
Epoch: [78][3980/7045]	Time 0.125 (0.241)	Data 0.073 (0.175)	Loss 2.7335 (2.5340)	Prec@1 33.594 (38.523)	Prec@5 64.062 (68.461)
Epoch: [78][3990/7045]	Time 0.286 (0.241)	Data 0.234 (0.175)	Loss 2.4269 (2.5341)	Prec@1 46.094 (38.521)	Prec@5 72.266 (68.459)
Epoch: [78][4000/7045]	Time 0.102 (0.241)	Data 0.006 (0.175)	Loss 2.5516 (2.5341)	Prec@1 34.766 (38.521)	Prec@5 68.359 (68.460)
Epoch: [78][4010/7045]	Time 0.372 (0.241)	Data 0.319 (0.175)	Loss 2.7619 (2.5341)	Prec@1 32.422 (38.518)	Prec@5 65.234 (68.459)
Epoch: [78][4020/7045]	Time 0.309 (0.241)	Data 0.250 (0.175)	Loss 2.6755 (2.5342)	Prec@1 33.594 (38.516)	Prec@5 68.750 (68.460)
Epoch: [78][4030/7045]	Time 0.198 (0.241)	Data 0.146 (0.175)	Loss 2.5825 (2.5342)	Prec@1 40.234 (38.517)	Prec@5 67.578 (68.458)
Epoch: [78][4040/7045]	Time 0.321 (0.241)	Data 0.269 (0.175)	Loss 2.5174 (2.5343)	Prec@1 40.625 (38.515)	Prec@5 67.578 (68.459)
Epoch: [78][4050/7045]	Time 0.107 (0.241)	Data 0.054 (0.175)	Loss 2.6471 (2.5341)	Prec@1 36.719 (38.519)	Prec@5 65.625 (68.462)
Epoch: [78][4060/7045]	Time 0.321 (0.241)	Data 0.269 (0.175)	Loss 2.4741 (2.5341)	Prec@1 41.406 (38.518)	Prec@5 70.312 (68.461)
Epoch: [78][4070/7045]	Time 0.304 (0.241)	Data 0.251 (0.175)	Loss 2.4332 (2.5340)	Prec@1 37.891 (38.519)	Prec@5 72.656 (68.465)
Epoch: [78][4080/7045]	Time 0.185 (0.241)	Data 0.134 (0.175)	Loss 2.7441 (2.5341)	Prec@1 35.547 (38.516)	Prec@5 64.453 (68.463)
Epoch: [78][4090/7045]	Time 0.410 (0.241)	Data 0.359 (0.175)	Loss 2.4739 (2.5341)	Prec@1 41.016 (38.516)	Prec@5 67.578 (68.462)
Epoch: [78][4100/7045]	Time 0.202 (0.241)	Data 0.142 (0.175)	Loss 2.5836 (2.5341)	Prec@1 35.547 (38.515)	Prec@5 68.359 (68.463)
Epoch: [78][4110/7045]	Time 0.362 (0.241)	Data 0.311 (0.175)	Loss 2.4888 (2.5341)	Prec@1 35.938 (38.512)	Prec@5 66.797 (68.462)
Epoch: [78][4120/7045]	Time 0.244 (0.241)	Data 0.192 (0.175)	Loss 2.4081 (2.5341)	Prec@1 41.406 (38.513)	Prec@5 71.875 (68.463)
Epoch: [78][4130/7045]	Time 0.285 (0.241)	Data 0.232 (0.175)	Loss 2.5911 (2.5342)	Prec@1 39.062 (38.511)	Prec@5 66.016 (68.460)
Epoch: [78][4140/7045]	Time 0.261 (0.241)	Data 0.210 (0.175)	Loss 2.1926 (2.5340)	Prec@1 48.438 (38.517)	Prec@5 74.219 (68.465)
Epoch: [78][4150/7045]	Time 0.247 (0.241)	Data 0.195 (0.175)	Loss 2.5703 (2.5341)	Prec@1 36.328 (38.516)	Prec@5 66.406 (68.461)
Epoch: [78][4160/7045]	Time 0.134 (0.241)	Data 0.081 (0.175)	Loss 2.6109 (2.5342)	Prec@1 36.719 (38.513)	Prec@5 65.234 (68.457)
Epoch: [78][4170/7045]	Time 0.242 (0.241)	Data 0.191 (0.175)	Loss 2.6637 (2.5343)	Prec@1 38.672 (38.512)	Prec@5 66.016 (68.456)
Epoch: [78][4180/7045]	Time 0.112 (0.241)	Data 0.059 (0.175)	Loss 2.5328 (2.5343)	Prec@1 41.797 (38.513)	Prec@5 67.188 (68.454)
Epoch: [78][4190/7045]	Time 0.275 (0.241)	Data 0.222 (0.175)	Loss 2.4241 (2.5344)	Prec@1 39.844 (38.511)	Prec@5 69.922 (68.451)
Epoch: [78][4200/7045]	Time 0.102 (0.241)	Data 0.004 (0.175)	Loss 2.5682 (2.5344)	Prec@1 38.672 (38.511)	Prec@5 69.531 (68.449)
Epoch: [78][4210/7045]	Time 0.213 (0.241)	Data 0.162 (0.175)	Loss 2.5038 (2.5343)	Prec@1 37.500 (38.511)	Prec@5 69.141 (68.450)
Epoch: [78][4220/7045]	Time 0.103 (0.241)	Data 0.006 (0.175)	Loss 2.3937 (2.5344)	Prec@1 44.141 (38.510)	Prec@5 72.266 (68.450)
Epoch: [78][4230/7045]	Time 0.197 (0.241)	Data 0.145 (0.175)	Loss 2.5979 (2.5343)	Prec@1 34.375 (38.511)	Prec@5 65.234 (68.452)
Epoch: [78][4240/7045]	Time 0.112 (0.241)	Data 0.060 (0.175)	Loss 2.5176 (2.5342)	Prec@1 37.500 (38.511)	Prec@5 67.969 (68.452)
Epoch: [78][4250/7045]	Time 0.286 (0.241)	Data 0.234 (0.175)	Loss 2.5976 (2.5342)	Prec@1 38.281 (38.511)	Prec@5 67.969 (68.455)
Epoch: [78][4260/7045]	Time 0.102 (0.241)	Data 0.005 (0.175)	Loss 2.4789 (2.5341)	Prec@1 37.500 (38.510)	Prec@5 71.484 (68.455)
Epoch: [78][4270/7045]	Time 0.285 (0.241)	Data 0.232 (0.175)	Loss 2.5532 (2.5341)	Prec@1 38.281 (38.510)	Prec@5 68.750 (68.453)
Epoch: [78][4280/7045]	Time 0.102 (0.241)	Data 0.005 (0.175)	Loss 2.5731 (2.5342)	Prec@1 39.844 (38.509)	Prec@5 66.016 (68.450)
Epoch: [78][4290/7045]	Time 0.300 (0.241)	Data 0.248 (0.175)	Loss 2.5310 (2.5341)	Prec@1 38.281 (38.513)	Prec@5 70.312 (68.452)
Epoch: [78][4300/7045]	Time 0.110 (0.241)	Data 0.059 (0.175)	Loss 2.4950 (2.5339)	Prec@1 43.750 (38.518)	Prec@5 65.625 (68.455)
Epoch: [78][4310/7045]	Time 0.358 (0.241)	Data 0.305 (0.175)	Loss 2.4986 (2.5338)	Prec@1 39.062 (38.521)	Prec@5 69.922 (68.456)
Epoch: [78][4320/7045]	Time 0.101 (0.241)	Data 0.005 (0.175)	Loss 2.4545 (2.5339)	Prec@1 40.234 (38.517)	Prec@5 67.969 (68.455)
Epoch: [78][4330/7045]	Time 0.397 (0.241)	Data 0.345 (0.175)	Loss 2.5117 (2.5340)	Prec@1 37.500 (38.513)	Prec@5 68.359 (68.451)
Epoch: [78][4340/7045]	Time 0.100 (0.241)	Data 0.006 (0.175)	Loss 2.6076 (2.5341)	Prec@1 40.234 (38.513)	Prec@5 67.188 (68.451)
Epoch: [78][4350/7045]	Time 0.166 (0.241)	Data 0.114 (0.175)	Loss 2.6566 (2.5341)	Prec@1 35.156 (38.513)	Prec@5 68.359 (68.453)
Epoch: [78][4360/7045]	Time 0.102 (0.241)	Data 0.005 (0.175)	Loss 2.4618 (2.5341)	Prec@1 41.406 (38.513)	Prec@5 69.922 (68.453)
Epoch: [78][4370/7045]	Time 0.301 (0.241)	Data 0.249 (0.175)	Loss 2.4287 (2.5341)	Prec@1 37.500 (38.512)	Prec@5 70.703 (68.453)
Epoch: [78][4380/7045]	Time 0.099 (0.241)	Data 0.001 (0.175)	Loss 2.8909 (2.5341)	Prec@1 33.984 (38.511)	Prec@5 64.453 (68.452)
Epoch: [78][4390/7045]	Time 0.200 (0.241)	Data 0.149 (0.175)	Loss 2.5635 (2.5342)	Prec@1 42.188 (38.510)	Prec@5 67.578 (68.449)
Epoch: [78][4400/7045]	Time 0.107 (0.241)	Data 0.002 (0.175)	Loss 2.3662 (2.5344)	Prec@1 41.016 (38.507)	Prec@5 72.266 (68.447)
Epoch: [78][4410/7045]	Time 0.294 (0.241)	Data 0.242 (0.175)	Loss 2.4462 (2.5344)	Prec@1 42.578 (38.506)	Prec@5 69.922 (68.446)
Epoch: [78][4420/7045]	Time 0.107 (0.241)	Data 0.006 (0.175)	Loss 2.5147 (2.5345)	Prec@1 39.062 (38.508)	Prec@5 67.969 (68.443)
Epoch: [78][4430/7045]	Time 0.248 (0.241)	Data 0.195 (0.175)	Loss 2.5745 (2.5345)	Prec@1 41.016 (38.509)	Prec@5 67.188 (68.443)
Epoch: [78][4440/7045]	Time 0.107 (0.241)	Data 0.001 (0.175)	Loss 2.4480 (2.5346)	Prec@1 39.062 (38.506)	Prec@5 68.359 (68.439)
Epoch: [78][4450/7045]	Time 0.174 (0.241)	Data 0.121 (0.175)	Loss 2.6121 (2.5346)	Prec@1 37.500 (38.505)	Prec@5 67.578 (68.437)
Epoch: [78][4460/7045]	Time 0.102 (0.241)	Data 0.006 (0.175)	Loss 2.5575 (2.5347)	Prec@1 37.109 (38.503)	Prec@5 67.969 (68.436)
Epoch: [78][4470/7045]	Time 0.205 (0.241)	Data 0.154 (0.175)	Loss 2.6292 (2.5347)	Prec@1 35.938 (38.504)	Prec@5 68.359 (68.438)
Epoch: [78][4480/7045]	Time 0.109 (0.241)	Data 0.007 (0.175)	Loss 2.4848 (2.5348)	Prec@1 37.891 (38.504)	Prec@5 67.578 (68.435)
Epoch: [78][4490/7045]	Time 0.197 (0.241)	Data 0.143 (0.175)	Loss 2.5421 (2.5349)	Prec@1 35.547 (38.503)	Prec@5 72.266 (68.435)
Epoch: [78][4500/7045]	Time 0.107 (0.241)	Data 0.001 (0.175)	Loss 2.6048 (2.5349)	Prec@1 32.422 (38.503)	Prec@5 69.531 (68.435)
Epoch: [78][4510/7045]	Time 0.181 (0.241)	Data 0.129 (0.175)	Loss 2.3617 (2.5348)	Prec@1 42.188 (38.504)	Prec@5 72.656 (68.435)
Epoch: [78][4520/7045]	Time 0.109 (0.241)	Data 0.006 (0.175)	Loss 2.4449 (2.5348)	Prec@1 41.406 (38.507)	Prec@5 69.141 (68.436)
Epoch: [78][4530/7045]	Time 0.222 (0.241)	Data 0.170 (0.175)	Loss 2.5547 (2.5348)	Prec@1 37.109 (38.506)	Prec@5 64.844 (68.435)
Epoch: [78][4540/7045]	Time 0.102 (0.241)	Data 0.001 (0.175)	Loss 2.6062 (2.5347)	Prec@1 36.719 (38.506)	Prec@5 67.578 (68.437)
Epoch: [78][4550/7045]	Time 0.290 (0.241)	Data 0.237 (0.175)	Loss 2.4768 (2.5347)	Prec@1 39.844 (38.507)	Prec@5 71.484 (68.438)
Epoch: [78][4560/7045]	Time 0.109 (0.241)	Data 0.003 (0.175)	Loss 2.4617 (2.5348)	Prec@1 39.062 (38.506)	Prec@5 72.656 (68.437)
Epoch: [78][4570/7045]	Time 0.327 (0.241)	Data 0.275 (0.175)	Loss 2.3546 (2.5348)	Prec@1 39.453 (38.504)	Prec@5 71.094 (68.435)
Epoch: [78][4580/7045]	Time 0.110 (0.241)	Data 0.001 (0.175)	Loss 2.5576 (2.5350)	Prec@1 37.891 (38.502)	Prec@5 69.141 (68.431)
Epoch: [78][4590/7045]	Time 0.451 (0.241)	Data 0.400 (0.175)	Loss 2.6517 (2.5350)	Prec@1 30.859 (38.500)	Prec@5 67.188 (68.432)
Epoch: [78][4600/7045]	Time 0.109 (0.241)	Data 0.005 (0.175)	Loss 2.5235 (2.5351)	Prec@1 35.547 (38.496)	Prec@5 67.188 (68.428)
Epoch: [78][4610/7045]	Time 0.502 (0.241)	Data 0.450 (0.175)	Loss 2.4139 (2.5352)	Prec@1 41.406 (38.495)	Prec@5 68.359 (68.427)
Epoch: [78][4620/7045]	Time 0.102 (0.241)	Data 0.003 (0.175)	Loss 2.4300 (2.5350)	Prec@1 40.234 (38.498)	Prec@5 70.312 (68.431)
Epoch: [78][4630/7045]	Time 0.426 (0.241)	Data 0.375 (0.175)	Loss 2.6336 (2.5349)	Prec@1 33.984 (38.499)	Prec@5 66.406 (68.430)
Epoch: [78][4640/7045]	Time 0.103 (0.241)	Data 0.003 (0.175)	Loss 2.5909 (2.5349)	Prec@1 37.109 (38.498)	Prec@5 73.438 (68.431)
Epoch: [78][4650/7045]	Time 0.556 (0.241)	Data 0.495 (0.175)	Loss 2.6065 (2.5349)	Prec@1 39.453 (38.498)	Prec@5 67.969 (68.429)
Epoch: [78][4660/7045]	Time 0.109 (0.241)	Data 0.056 (0.175)	Loss 2.3624 (2.5348)	Prec@1 39.062 (38.499)	Prec@5 73.438 (68.434)
Epoch: [78][4670/7045]	Time 0.497 (0.241)	Data 0.445 (0.175)	Loss 2.6540 (2.5348)	Prec@1 35.938 (38.499)	Prec@5 64.062 (68.433)
Epoch: [78][4680/7045]	Time 0.102 (0.241)	Data 0.003 (0.175)	Loss 2.5600 (2.5348)	Prec@1 37.109 (38.500)	Prec@5 69.141 (68.433)
Epoch: [78][4690/7045]	Time 0.534 (0.241)	Data 0.475 (0.175)	Loss 2.5826 (2.5348)	Prec@1 37.500 (38.502)	Prec@5 64.453 (68.432)
Epoch: [78][4700/7045]	Time 0.108 (0.241)	Data 0.054 (0.175)	Loss 2.5150 (2.5348)	Prec@1 41.797 (38.505)	Prec@5 68.750 (68.434)
Epoch: [78][4710/7045]	Time 0.546 (0.241)	Data 0.486 (0.175)	Loss 2.3647 (2.5348)	Prec@1 39.062 (38.503)	Prec@5 73.438 (68.435)
Epoch: [78][4720/7045]	Time 0.102 (0.241)	Data 0.002 (0.175)	Loss 2.6400 (2.5348)	Prec@1 35.156 (38.502)	Prec@5 69.141 (68.435)
Epoch: [78][4730/7045]	Time 0.440 (0.241)	Data 0.381 (0.175)	Loss 2.4361 (2.5347)	Prec@1 41.406 (38.501)	Prec@5 72.656 (68.435)
Epoch: [78][4740/7045]	Time 0.107 (0.241)	Data 0.055 (0.175)	Loss 2.7856 (2.5347)	Prec@1 36.719 (38.500)	Prec@5 63.281 (68.435)
Epoch: [78][4750/7045]	Time 0.402 (0.241)	Data 0.349 (0.175)	Loss 2.6482 (2.5348)	Prec@1 35.156 (38.499)	Prec@5 65.234 (68.432)
Epoch: [78][4760/7045]	Time 0.168 (0.241)	Data 0.116 (0.175)	Loss 2.6486 (2.5348)	Prec@1 34.766 (38.499)	Prec@5 69.141 (68.433)
Epoch: [78][4770/7045]	Time 0.403 (0.241)	Data 0.351 (0.175)	Loss 2.4891 (2.5347)	Prec@1 41.406 (38.502)	Prec@5 70.312 (68.433)
Epoch: [78][4780/7045]	Time 0.149 (0.241)	Data 0.096 (0.175)	Loss 2.5442 (2.5348)	Prec@1 34.766 (38.501)	Prec@5 68.359 (68.431)
Epoch: [78][4790/7045]	Time 0.428 (0.241)	Data 0.376 (0.175)	Loss 2.5746 (2.5347)	Prec@1 39.844 (38.503)	Prec@5 68.750 (68.433)
Epoch: [78][4800/7045]	Time 0.162 (0.241)	Data 0.111 (0.175)	Loss 2.4649 (2.5348)	Prec@1 39.453 (38.500)	Prec@5 67.188 (68.429)
Epoch: [78][4810/7045]	Time 0.340 (0.241)	Data 0.288 (0.175)	Loss 2.5298 (2.5349)	Prec@1 38.672 (38.501)	Prec@5 69.922 (68.428)
Epoch: [78][4820/7045]	Time 0.249 (0.241)	Data 0.197 (0.175)	Loss 2.4801 (2.5350)	Prec@1 39.453 (38.500)	Prec@5 69.531 (68.429)
Epoch: [78][4830/7045]	Time 0.412 (0.241)	Data 0.360 (0.175)	Loss 2.3969 (2.5350)	Prec@1 40.234 (38.499)	Prec@5 71.875 (68.428)
Epoch: [78][4840/7045]	Time 0.316 (0.241)	Data 0.264 (0.175)	Loss 2.5676 (2.5350)	Prec@1 37.891 (38.498)	Prec@5 70.312 (68.429)
Epoch: [78][4850/7045]	Time 0.319 (0.241)	Data 0.267 (0.175)	Loss 2.7660 (2.5351)	Prec@1 32.031 (38.497)	Prec@5 66.016 (68.427)
Epoch: [78][4860/7045]	Time 0.391 (0.241)	Data 0.339 (0.175)	Loss 2.5878 (2.5353)	Prec@1 41.016 (38.496)	Prec@5 68.750 (68.423)
Epoch: [78][4870/7045]	Time 0.304 (0.241)	Data 0.244 (0.175)	Loss 2.5623 (2.5351)	Prec@1 39.453 (38.499)	Prec@5 67.188 (68.423)
Epoch: [78][4880/7045]	Time 0.340 (0.241)	Data 0.287 (0.175)	Loss 2.6232 (2.5352)	Prec@1 32.812 (38.495)	Prec@5 69.531 (68.421)
Epoch: [78][4890/7045]	Time 0.230 (0.241)	Data 0.178 (0.175)	Loss 2.5823 (2.5353)	Prec@1 39.062 (38.494)	Prec@5 65.625 (68.421)
Epoch: [78][4900/7045]	Time 0.331 (0.241)	Data 0.278 (0.175)	Loss 2.5721 (2.5353)	Prec@1 36.328 (38.491)	Prec@5 68.750 (68.421)
Epoch: [78][4910/7045]	Time 0.162 (0.241)	Data 0.109 (0.175)	Loss 2.5205 (2.5353)	Prec@1 36.719 (38.492)	Prec@5 66.797 (68.420)
Epoch: [78][4920/7045]	Time 0.305 (0.241)	Data 0.253 (0.175)	Loss 2.5459 (2.5354)	Prec@1 37.891 (38.491)	Prec@5 66.406 (68.416)
Epoch: [78][4930/7045]	Time 0.209 (0.241)	Data 0.158 (0.175)	Loss 2.4792 (2.5354)	Prec@1 37.500 (38.488)	Prec@5 71.094 (68.417)
Epoch: [78][4940/7045]	Time 0.212 (0.241)	Data 0.160 (0.175)	Loss 2.4411 (2.5353)	Prec@1 39.844 (38.488)	Prec@5 71.094 (68.419)
Epoch: [78][4950/7045]	Time 0.232 (0.241)	Data 0.179 (0.175)	Loss 2.4467 (2.5353)	Prec@1 38.672 (38.484)	Prec@5 70.703 (68.419)
Epoch: [78][4960/7045]	Time 0.250 (0.241)	Data 0.198 (0.175)	Loss 2.5841 (2.5354)	Prec@1 33.203 (38.481)	Prec@5 69.922 (68.419)
Epoch: [78][4970/7045]	Time 0.238 (0.241)	Data 0.187 (0.175)	Loss 2.6314 (2.5355)	Prec@1 37.891 (38.482)	Prec@5 64.453 (68.418)
Epoch: [78][4980/7045]	Time 0.108 (0.241)	Data 0.056 (0.175)	Loss 2.3864 (2.5355)	Prec@1 42.578 (38.484)	Prec@5 69.531 (68.418)
Epoch: [78][4990/7045]	Time 0.275 (0.241)	Data 0.223 (0.175)	Loss 2.8762 (2.5354)	Prec@1 30.469 (38.485)	Prec@5 62.109 (68.418)
Epoch: [78][5000/7045]	Time 0.104 (0.241)	Data 0.051 (0.175)	Loss 2.6567 (2.5354)	Prec@1 37.891 (38.486)	Prec@5 65.234 (68.418)
Epoch: [78][5010/7045]	Time 0.253 (0.241)	Data 0.201 (0.175)	Loss 2.4907 (2.5354)	Prec@1 35.156 (38.485)	Prec@5 69.531 (68.418)
Epoch: [78][5020/7045]	Time 0.108 (0.241)	Data 0.004 (0.175)	Loss 2.4955 (2.5355)	Prec@1 39.062 (38.484)	Prec@5 70.312 (68.417)
Epoch: [78][5030/7045]	Time 0.212 (0.241)	Data 0.161 (0.175)	Loss 2.6332 (2.5355)	Prec@1 39.844 (38.482)	Prec@5 64.453 (68.415)
Epoch: [78][5040/7045]	Time 0.102 (0.241)	Data 0.004 (0.175)	Loss 2.6284 (2.5356)	Prec@1 37.891 (38.483)	Prec@5 68.359 (68.413)
Epoch: [78][5050/7045]	Time 0.168 (0.241)	Data 0.117 (0.175)	Loss 2.5875 (2.5358)	Prec@1 39.453 (38.481)	Prec@5 68.750 (68.410)
Epoch: [78][5060/7045]	Time 0.106 (0.241)	Data 0.053 (0.175)	Loss 2.4120 (2.5357)	Prec@1 40.234 (38.485)	Prec@5 73.047 (68.412)
Epoch: [78][5070/7045]	Time 0.175 (0.241)	Data 0.124 (0.175)	Loss 2.4345 (2.5358)	Prec@1 40.234 (38.485)	Prec@5 71.094 (68.409)
Epoch: [78][5080/7045]	Time 0.145 (0.241)	Data 0.092 (0.175)	Loss 2.4456 (2.5357)	Prec@1 39.844 (38.486)	Prec@5 71.094 (68.412)
Epoch: [78][5090/7045]	Time 0.181 (0.241)	Data 0.129 (0.175)	Loss 2.4788 (2.5358)	Prec@1 37.109 (38.483)	Prec@5 70.703 (68.410)
Epoch: [78][5100/7045]	Time 0.195 (0.241)	Data 0.142 (0.175)	Loss 2.6356 (2.5357)	Prec@1 38.281 (38.483)	Prec@5 67.188 (68.412)
Epoch: [78][5110/7045]	Time 0.224 (0.241)	Data 0.172 (0.175)	Loss 2.5004 (2.5356)	Prec@1 36.719 (38.483)	Prec@5 67.578 (68.412)
Epoch: [78][5120/7045]	Time 0.232 (0.241)	Data 0.173 (0.176)	Loss 2.5199 (2.5356)	Prec@1 40.625 (38.484)	Prec@5 68.750 (68.411)
Epoch: [78][5130/7045]	Time 0.130 (0.241)	Data 0.078 (0.175)	Loss 2.3223 (2.5356)	Prec@1 41.406 (38.483)	Prec@5 75.391 (68.413)
Epoch: [78][5140/7045]	Time 0.263 (0.241)	Data 0.211 (0.176)	Loss 2.5535 (2.5356)	Prec@1 36.719 (38.484)	Prec@5 64.844 (68.410)
Epoch: [78][5150/7045]	Time 0.154 (0.241)	Data 0.102 (0.176)	Loss 2.4938 (2.5357)	Prec@1 39.844 (38.484)	Prec@5 67.969 (68.410)
Epoch: [78][5160/7045]	Time 0.252 (0.241)	Data 0.200 (0.176)	Loss 2.5523 (2.5357)	Prec@1 38.672 (38.487)	Prec@5 71.484 (68.411)
Epoch: [78][5170/7045]	Time 0.136 (0.241)	Data 0.084 (0.176)	Loss 2.3481 (2.5357)	Prec@1 41.797 (38.486)	Prec@5 71.094 (68.410)
Epoch: [78][5180/7045]	Time 0.288 (0.241)	Data 0.236 (0.176)	Loss 2.5207 (2.5359)	Prec@1 38.281 (38.483)	Prec@5 66.797 (68.407)
Epoch: [78][5190/7045]	Time 0.186 (0.241)	Data 0.134 (0.176)	Loss 2.4521 (2.5359)	Prec@1 41.797 (38.484)	Prec@5 74.609 (68.408)
Epoch: [78][5200/7045]	Time 0.264 (0.241)	Data 0.212 (0.176)	Loss 2.5097 (2.5358)	Prec@1 37.891 (38.485)	Prec@5 72.266 (68.409)
Epoch: [78][5210/7045]	Time 0.194 (0.241)	Data 0.142 (0.176)	Loss 2.4339 (2.5358)	Prec@1 38.281 (38.487)	Prec@5 68.750 (68.411)
Epoch: [78][5220/7045]	Time 0.363 (0.241)	Data 0.312 (0.176)	Loss 2.6564 (2.5358)	Prec@1 33.594 (38.488)	Prec@5 66.016 (68.411)
Epoch: [78][5230/7045]	Time 0.195 (0.241)	Data 0.143 (0.176)	Loss 2.5079 (2.5358)	Prec@1 39.062 (38.488)	Prec@5 68.750 (68.411)
Epoch: [78][5240/7045]	Time 0.285 (0.241)	Data 0.224 (0.176)	Loss 2.7078 (2.5358)	Prec@1 35.938 (38.488)	Prec@5 65.234 (68.410)
Epoch: [78][5250/7045]	Time 0.118 (0.241)	Data 0.066 (0.176)	Loss 2.4804 (2.5359)	Prec@1 39.453 (38.487)	Prec@5 68.359 (68.409)
Epoch: [78][5260/7045]	Time 0.313 (0.241)	Data 0.261 (0.176)	Loss 2.2844 (2.5359)	Prec@1 45.312 (38.488)	Prec@5 74.219 (68.410)
Epoch: [78][5270/7045]	Time 0.102 (0.241)	Data 0.002 (0.176)	Loss 2.4464 (2.5357)	Prec@1 37.109 (38.487)	Prec@5 68.359 (68.411)
Epoch: [78][5280/7045]	Time 0.229 (0.241)	Data 0.176 (0.176)	Loss 2.6956 (2.5358)	Prec@1 35.156 (38.486)	Prec@5 65.234 (68.410)
Epoch: [78][5290/7045]	Time 0.101 (0.241)	Data 0.007 (0.176)	Loss 2.5861 (2.5357)	Prec@1 40.234 (38.485)	Prec@5 68.750 (68.412)
Epoch: [78][5300/7045]	Time 0.353 (0.241)	Data 0.294 (0.176)	Loss 2.4543 (2.5357)	Prec@1 41.797 (38.486)	Prec@5 69.922 (68.413)
Epoch: [78][5310/7045]	Time 0.103 (0.241)	Data 0.004 (0.176)	Loss 2.5340 (2.5356)	Prec@1 35.938 (38.488)	Prec@5 69.922 (68.416)
Epoch: [78][5320/7045]	Time 0.401 (0.241)	Data 0.349 (0.176)	Loss 2.5268 (2.5357)	Prec@1 35.547 (38.487)	Prec@5 69.141 (68.414)
Epoch: [78][5330/7045]	Time 0.194 (0.241)	Data 0.142 (0.176)	Loss 2.5131 (2.5356)	Prec@1 35.547 (38.489)	Prec@5 71.875 (68.417)
Epoch: [78][5340/7045]	Time 0.450 (0.241)	Data 0.398 (0.176)	Loss 2.6316 (2.5355)	Prec@1 33.594 (38.489)	Prec@5 66.406 (68.419)
Epoch: [78][5350/7045]	Time 0.220 (0.241)	Data 0.168 (0.176)	Loss 2.4866 (2.5355)	Prec@1 39.453 (38.488)	Prec@5 69.531 (68.422)
Epoch: [78][5360/7045]	Time 0.423 (0.241)	Data 0.371 (0.176)	Loss 2.5411 (2.5355)	Prec@1 39.453 (38.488)	Prec@5 67.969 (68.422)
Epoch: [78][5370/7045]	Time 0.251 (0.241)	Data 0.199 (0.176)	Loss 2.5673 (2.5355)	Prec@1 37.891 (38.487)	Prec@5 67.578 (68.421)
Epoch: [78][5380/7045]	Time 0.252 (0.241)	Data 0.193 (0.176)	Loss 2.4915 (2.5355)	Prec@1 35.938 (38.486)	Prec@5 71.875 (68.421)
Epoch: [78][5390/7045]	Time 0.283 (0.241)	Data 0.232 (0.176)	Loss 2.8098 (2.5356)	Prec@1 33.203 (38.487)	Prec@5 64.062 (68.420)
Epoch: [78][5400/7045]	Time 0.272 (0.241)	Data 0.219 (0.176)	Loss 2.5304 (2.5357)	Prec@1 40.625 (38.485)	Prec@5 67.578 (68.419)
Epoch: [78][5410/7045]	Time 0.327 (0.241)	Data 0.275 (0.176)	Loss 2.6367 (2.5357)	Prec@1 37.891 (38.485)	Prec@5 66.797 (68.419)
Epoch: [78][5420/7045]	Time 0.288 (0.241)	Data 0.237 (0.176)	Loss 2.4112 (2.5357)	Prec@1 40.234 (38.484)	Prec@5 66.406 (68.418)
Epoch: [78][5430/7045]	Time 0.219 (0.241)	Data 0.167 (0.176)	Loss 2.5089 (2.5358)	Prec@1 37.500 (38.482)	Prec@5 69.141 (68.420)
Epoch: [78][5440/7045]	Time 0.407 (0.241)	Data 0.356 (0.176)	Loss 2.4855 (2.5359)	Prec@1 43.359 (38.481)	Prec@5 70.312 (68.418)
Epoch: [78][5450/7045]	Time 0.211 (0.241)	Data 0.159 (0.176)	Loss 2.6901 (2.5359)	Prec@1 36.328 (38.482)	Prec@5 63.281 (68.417)
Epoch: [78][5460/7045]	Time 0.445 (0.241)	Data 0.393 (0.176)	Loss 2.4922 (2.5359)	Prec@1 35.547 (38.479)	Prec@5 67.969 (68.418)
Epoch: [78][5470/7045]	Time 0.188 (0.241)	Data 0.136 (0.176)	Loss 2.4249 (2.5361)	Prec@1 41.016 (38.477)	Prec@5 69.531 (68.413)
Epoch: [78][5480/7045]	Time 0.213 (0.241)	Data 0.161 (0.176)	Loss 2.6558 (2.5361)	Prec@1 38.672 (38.475)	Prec@5 67.969 (68.413)
Epoch: [78][5490/7045]	Time 0.144 (0.241)	Data 0.091 (0.176)	Loss 2.6050 (2.5362)	Prec@1 39.453 (38.475)	Prec@5 68.750 (68.414)
Epoch: [78][5500/7045]	Time 0.246 (0.241)	Data 0.194 (0.176)	Loss 2.4372 (2.5362)	Prec@1 42.188 (38.475)	Prec@5 68.750 (68.412)
Epoch: [78][5510/7045]	Time 0.206 (0.241)	Data 0.154 (0.176)	Loss 2.5164 (2.5362)	Prec@1 32.812 (38.473)	Prec@5 69.531 (68.413)
Epoch: [78][5520/7045]	Time 0.145 (0.241)	Data 0.094 (0.176)	Loss 2.5236 (2.5362)	Prec@1 39.844 (38.474)	Prec@5 66.797 (68.412)
Epoch: [78][5530/7045]	Time 0.339 (0.241)	Data 0.287 (0.176)	Loss 2.4942 (2.5362)	Prec@1 39.453 (38.473)	Prec@5 68.750 (68.412)
Epoch: [78][5540/7045]	Time 0.237 (0.241)	Data 0.184 (0.176)	Loss 2.4053 (2.5361)	Prec@1 41.016 (38.475)	Prec@5 71.484 (68.414)
Epoch: [78][5550/7045]	Time 0.300 (0.241)	Data 0.247 (0.176)	Loss 2.5663 (2.5363)	Prec@1 37.109 (38.471)	Prec@5 66.797 (68.411)
Epoch: [78][5560/7045]	Time 0.111 (0.241)	Data 0.058 (0.176)	Loss 2.4376 (2.5363)	Prec@1 39.062 (38.472)	Prec@5 68.359 (68.410)
Epoch: [78][5570/7045]	Time 0.482 (0.241)	Data 0.430 (0.176)	Loss 2.6937 (2.5363)	Prec@1 37.109 (38.473)	Prec@5 68.359 (68.411)
Epoch: [78][5580/7045]	Time 0.115 (0.241)	Data 0.062 (0.176)	Loss 2.5837 (2.5363)	Prec@1 38.281 (38.473)	Prec@5 64.062 (68.411)
Epoch: [78][5590/7045]	Time 0.425 (0.241)	Data 0.373 (0.176)	Loss 2.5427 (2.5363)	Prec@1 35.156 (38.473)	Prec@5 64.453 (68.409)
Epoch: [78][5600/7045]	Time 0.103 (0.241)	Data 0.005 (0.176)	Loss 2.3966 (2.5362)	Prec@1 40.625 (38.475)	Prec@5 72.266 (68.410)
Epoch: [78][5610/7045]	Time 0.482 (0.241)	Data 0.430 (0.176)	Loss 2.6515 (2.5363)	Prec@1 41.016 (38.474)	Prec@5 66.406 (68.409)
Epoch: [78][5620/7045]	Time 0.102 (0.241)	Data 0.001 (0.176)	Loss 2.5974 (2.5363)	Prec@1 36.719 (38.476)	Prec@5 68.359 (68.411)
Epoch: [78][5630/7045]	Time 0.502 (0.241)	Data 0.449 (0.176)	Loss 2.5863 (2.5363)	Prec@1 39.453 (38.477)	Prec@5 66.797 (68.410)
Epoch: [78][5640/7045]	Time 0.101 (0.241)	Data 0.001 (0.176)	Loss 2.5781 (2.5362)	Prec@1 39.453 (38.475)	Prec@5 67.969 (68.410)
Epoch: [78][5650/7045]	Time 0.477 (0.241)	Data 0.425 (0.176)	Loss 2.5545 (2.5363)	Prec@1 41.797 (38.473)	Prec@5 67.969 (68.409)
Epoch: [78][5660/7045]	Time 0.110 (0.241)	Data 0.057 (0.176)	Loss 2.4370 (2.5364)	Prec@1 41.797 (38.469)	Prec@5 70.312 (68.406)
Epoch: [78][5670/7045]	Time 0.433 (0.241)	Data 0.381 (0.176)	Loss 2.5988 (2.5364)	Prec@1 36.719 (38.471)	Prec@5 66.406 (68.405)
Epoch: [78][5680/7045]	Time 0.109 (0.241)	Data 0.057 (0.176)	Loss 2.6471 (2.5365)	Prec@1 39.844 (38.472)	Prec@5 67.969 (68.403)
Epoch: [78][5690/7045]	Time 0.543 (0.241)	Data 0.490 (0.176)	Loss 2.5256 (2.5366)	Prec@1 37.891 (38.470)	Prec@5 66.406 (68.401)
Epoch: [78][5700/7045]	Time 0.109 (0.241)	Data 0.055 (0.176)	Loss 2.4795 (2.5366)	Prec@1 40.234 (38.470)	Prec@5 73.047 (68.403)
Epoch: [78][5710/7045]	Time 0.441 (0.241)	Data 0.388 (0.176)	Loss 2.6988 (2.5365)	Prec@1 36.328 (38.469)	Prec@5 60.547 (68.401)
Epoch: [78][5720/7045]	Time 0.102 (0.241)	Data 0.005 (0.176)	Loss 2.5627 (2.5365)	Prec@1 37.500 (38.470)	Prec@5 68.750 (68.402)
Epoch: [78][5730/7045]	Time 0.424 (0.241)	Data 0.372 (0.176)	Loss 2.6296 (2.5367)	Prec@1 38.281 (38.466)	Prec@5 66.406 (68.399)
Epoch: [78][5740/7045]	Time 0.102 (0.241)	Data 0.003 (0.176)	Loss 2.5372 (2.5367)	Prec@1 36.328 (38.466)	Prec@5 69.922 (68.398)
Epoch: [78][5750/7045]	Time 0.464 (0.241)	Data 0.412 (0.176)	Loss 2.4096 (2.5367)	Prec@1 41.406 (38.467)	Prec@5 69.531 (68.400)
Epoch: [78][5760/7045]	Time 0.102 (0.241)	Data 0.001 (0.176)	Loss 2.6041 (2.5367)	Prec@1 40.625 (38.466)	Prec@5 66.797 (68.399)
Epoch: [78][5770/7045]	Time 0.409 (0.241)	Data 0.358 (0.176)	Loss 2.3742 (2.5367)	Prec@1 39.844 (38.467)	Prec@5 72.656 (68.397)
Epoch: [78][5780/7045]	Time 0.102 (0.241)	Data 0.001 (0.176)	Loss 2.4916 (2.5368)	Prec@1 40.625 (38.467)	Prec@5 69.922 (68.397)
Epoch: [78][5790/7045]	Time 0.400 (0.241)	Data 0.347 (0.176)	Loss 2.3182 (2.5368)	Prec@1 45.312 (38.465)	Prec@5 72.266 (68.397)
Epoch: [78][5800/7045]	Time 0.103 (0.241)	Data 0.001 (0.176)	Loss 2.4950 (2.5369)	Prec@1 40.234 (38.466)	Prec@5 71.484 (68.395)
Epoch: [78][5810/7045]	Time 0.380 (0.241)	Data 0.327 (0.176)	Loss 2.5247 (2.5369)	Prec@1 35.938 (38.464)	Prec@5 67.969 (68.394)
Epoch: [78][5820/7045]	Time 0.102 (0.241)	Data 0.001 (0.176)	Loss 2.5448 (2.5369)	Prec@1 39.062 (38.462)	Prec@5 71.094 (68.394)
Epoch: [78][5830/7045]	Time 0.318 (0.241)	Data 0.266 (0.176)	Loss 2.2742 (2.5370)	Prec@1 46.484 (38.460)	Prec@5 73.047 (68.394)
Epoch: [78][5840/7045]	Time 0.102 (0.241)	Data 0.001 (0.176)	Loss 2.6803 (2.5369)	Prec@1 35.938 (38.461)	Prec@5 63.672 (68.395)
Epoch: [78][5850/7045]	Time 0.207 (0.241)	Data 0.155 (0.176)	Loss 2.7565 (2.5370)	Prec@1 34.766 (38.460)	Prec@5 65.625 (68.394)
Epoch: [78][5860/7045]	Time 0.102 (0.241)	Data 0.003 (0.175)	Loss 2.6021 (2.5371)	Prec@1 39.062 (38.458)	Prec@5 65.234 (68.393)
Epoch: [78][5870/7045]	Time 0.112 (0.241)	Data 0.060 (0.176)	Loss 2.4506 (2.5370)	Prec@1 44.922 (38.459)	Prec@5 67.578 (68.394)
Epoch: [78][5880/7045]	Time 0.112 (0.241)	Data 0.060 (0.175)	Loss 2.4415 (2.5371)	Prec@1 34.766 (38.457)	Prec@5 71.875 (68.393)
Epoch: [78][5890/7045]	Time 0.109 (0.241)	Data 0.056 (0.175)	Loss 2.4947 (2.5370)	Prec@1 36.328 (38.459)	Prec@5 71.094 (68.395)
Epoch: [78][5900/7045]	Time 0.103 (0.241)	Data 0.001 (0.175)	Loss 2.5686 (2.5370)	Prec@1 36.719 (38.460)	Prec@5 68.359 (68.396)
Epoch: [78][5910/7045]	Time 0.102 (0.241)	Data 0.006 (0.175)	Loss 2.5717 (2.5369)	Prec@1 39.453 (38.459)	Prec@5 69.531 (68.397)
Epoch: [78][5920/7045]	Time 0.373 (0.241)	Data 0.321 (0.175)	Loss 2.6628 (2.5370)	Prec@1 37.891 (38.460)	Prec@5 65.625 (68.395)
Epoch: [78][5930/7045]	Time 0.109 (0.241)	Data 0.006 (0.175)	Loss 2.6925 (2.5370)	Prec@1 40.625 (38.458)	Prec@5 65.625 (68.393)
Epoch: [78][5940/7045]	Time 0.583 (0.241)	Data 0.531 (0.175)	Loss 2.5820 (2.5370)	Prec@1 36.328 (38.459)	Prec@5 69.141 (68.394)
Epoch: [78][5950/7045]	Time 0.102 (0.241)	Data 0.001 (0.175)	Loss 2.6457 (2.5368)	Prec@1 37.109 (38.461)	Prec@5 66.016 (68.398)
Epoch: [78][5960/7045]	Time 0.611 (0.241)	Data 0.559 (0.175)	Loss 2.5508 (2.5369)	Prec@1 35.547 (38.462)	Prec@5 68.750 (68.398)
Epoch: [78][5970/7045]	Time 0.103 (0.241)	Data 0.007 (0.175)	Loss 2.4482 (2.5370)	Prec@1 42.188 (38.461)	Prec@5 71.484 (68.397)
Epoch: [78][5980/7045]	Time 0.527 (0.241)	Data 0.475 (0.175)	Loss 2.5844 (2.5371)	Prec@1 37.500 (38.461)	Prec@5 66.797 (68.396)
Epoch: [78][5990/7045]	Time 0.107 (0.241)	Data 0.053 (0.175)	Loss 2.3214 (2.5370)	Prec@1 42.578 (38.462)	Prec@5 73.828 (68.396)
Epoch: [78][6000/7045]	Time 0.418 (0.241)	Data 0.366 (0.175)	Loss 2.6203 (2.5370)	Prec@1 35.938 (38.462)	Prec@5 67.969 (68.396)
Epoch: [78][6010/7045]	Time 0.340 (0.241)	Data 0.288 (0.175)	Loss 2.6836 (2.5371)	Prec@1 33.594 (38.458)	Prec@5 68.359 (68.392)
Epoch: [78][6020/7045]	Time 0.394 (0.241)	Data 0.343 (0.175)	Loss 2.4655 (2.5372)	Prec@1 42.188 (38.456)	Prec@5 69.531 (68.390)
Epoch: [78][6030/7045]	Time 0.592 (0.241)	Data 0.540 (0.176)	Loss 2.6673 (2.5372)	Prec@1 35.938 (38.457)	Prec@5 67.188 (68.389)
Epoch: [78][6040/7045]	Time 0.102 (0.241)	Data 0.004 (0.175)	Loss 2.8046 (2.5373)	Prec@1 35.938 (38.456)	Prec@5 62.891 (68.387)
Epoch: [78][6050/7045]	Time 0.706 (0.241)	Data 0.653 (0.176)	Loss 2.5468 (2.5374)	Prec@1 35.156 (38.456)	Prec@5 66.016 (68.385)
Epoch: [78][6060/7045]	Time 0.109 (0.241)	Data 0.001 (0.175)	Loss 2.4557 (2.5374)	Prec@1 45.703 (38.456)	Prec@5 71.484 (68.386)
Epoch: [78][6070/7045]	Time 0.659 (0.241)	Data 0.606 (0.175)	Loss 2.7359 (2.5374)	Prec@1 35.156 (38.456)	Prec@5 63.672 (68.385)
Epoch: [78][6080/7045]	Time 0.302 (0.241)	Data 0.243 (0.175)	Loss 2.5766 (2.5373)	Prec@1 38.281 (38.458)	Prec@5 68.750 (68.386)
Epoch: [78][6090/7045]	Time 0.322 (0.241)	Data 0.269 (0.175)	Loss 2.4116 (2.5373)	Prec@1 38.672 (38.459)	Prec@5 70.703 (68.387)
Epoch: [78][6100/7045]	Time 0.593 (0.241)	Data 0.541 (0.176)	Loss 2.6361 (2.5372)	Prec@1 36.719 (38.462)	Prec@5 69.141 (68.387)
Epoch: [78][6110/7045]	Time 0.109 (0.241)	Data 0.001 (0.175)	Loss 2.5785 (2.5372)	Prec@1 41.797 (38.463)	Prec@5 69.141 (68.386)
Epoch: [78][6120/7045]	Time 0.636 (0.241)	Data 0.583 (0.175)	Loss 2.5226 (2.5372)	Prec@1 37.500 (38.462)	Prec@5 70.703 (68.388)
Epoch: [78][6130/7045]	Time 0.102 (0.241)	Data 0.001 (0.175)	Loss 2.5833 (2.5372)	Prec@1 39.453 (38.462)	Prec@5 64.453 (68.388)
Epoch: [78][6140/7045]	Time 0.636 (0.241)	Data 0.583 (0.175)	Loss 2.4794 (2.5372)	Prec@1 42.188 (38.465)	Prec@5 69.141 (68.390)
Epoch: [78][6150/7045]	Time 0.220 (0.241)	Data 0.168 (0.175)	Loss 2.4380 (2.5372)	Prec@1 39.062 (38.464)	Prec@5 71.875 (68.389)
Epoch: [78][6160/7045]	Time 0.637 (0.241)	Data 0.579 (0.175)	Loss 2.5338 (2.5373)	Prec@1 41.797 (38.463)	Prec@5 68.750 (68.387)
Epoch: [78][6170/7045]	Time 0.117 (0.241)	Data 0.058 (0.175)	Loss 2.6764 (2.5372)	Prec@1 36.719 (38.464)	Prec@5 65.625 (68.388)
Epoch: [78][6180/7045]	Time 0.601 (0.241)	Data 0.550 (0.175)	Loss 2.5946 (2.5372)	Prec@1 40.625 (38.465)	Prec@5 68.750 (68.388)
Epoch: [78][6190/7045]	Time 0.117 (0.241)	Data 0.059 (0.175)	Loss 2.5834 (2.5372)	Prec@1 38.672 (38.467)	Prec@5 68.359 (68.389)
Epoch: [78][6200/7045]	Time 0.459 (0.241)	Data 0.408 (0.175)	Loss 2.5526 (2.5372)	Prec@1 40.234 (38.467)	Prec@5 66.016 (68.388)
Epoch: [78][6210/7045]	Time 0.167 (0.241)	Data 0.116 (0.175)	Loss 2.4843 (2.5372)	Prec@1 39.453 (38.467)	Prec@5 66.797 (68.387)
Epoch: [78][6220/7045]	Time 0.109 (0.241)	Data 0.001 (0.175)	Loss 2.5819 (2.5372)	Prec@1 39.844 (38.467)	Prec@5 66.016 (68.386)
Epoch: [78][6230/7045]	Time 0.128 (0.241)	Data 0.075 (0.175)	Loss 2.5305 (2.5372)	Prec@1 39.844 (38.466)	Prec@5 69.531 (68.383)
Epoch: [78][6240/7045]	Time 0.247 (0.241)	Data 0.195 (0.175)	Loss 2.5231 (2.5373)	Prec@1 38.281 (38.465)	Prec@5 67.578 (68.381)
Epoch: [78][6250/7045]	Time 0.280 (0.241)	Data 0.229 (0.175)	Loss 2.3750 (2.5373)	Prec@1 44.141 (38.465)	Prec@5 70.703 (68.381)
Epoch: [78][6260/7045]	Time 0.105 (0.241)	Data 0.052 (0.175)	Loss 2.3511 (2.5372)	Prec@1 40.234 (38.466)	Prec@5 73.047 (68.381)
Epoch: [78][6270/7045]	Time 0.332 (0.241)	Data 0.281 (0.175)	Loss 2.7501 (2.5372)	Prec@1 35.156 (38.467)	Prec@5 61.719 (68.379)
Epoch: [78][6280/7045]	Time 0.361 (0.241)	Data 0.308 (0.176)	Loss 2.5417 (2.5372)	Prec@1 39.453 (38.468)	Prec@5 68.359 (68.378)
Epoch: [78][6290/7045]	Time 0.103 (0.241)	Data 0.006 (0.176)	Loss 2.4101 (2.5372)	Prec@1 39.844 (38.467)	Prec@5 69.922 (68.377)
Epoch: [78][6300/7045]	Time 0.274 (0.241)	Data 0.221 (0.176)	Loss 2.2463 (2.5372)	Prec@1 47.656 (38.469)	Prec@5 71.094 (68.378)
Epoch: [78][6310/7045]	Time 0.456 (0.241)	Data 0.403 (0.176)	Loss 2.4639 (2.5372)	Prec@1 40.234 (38.468)	Prec@5 71.094 (68.377)
Epoch: [78][6320/7045]	Time 0.102 (0.241)	Data 0.001 (0.176)	Loss 2.6056 (2.5373)	Prec@1 37.891 (38.468)	Prec@5 66.016 (68.377)
Epoch: [78][6330/7045]	Time 0.471 (0.241)	Data 0.413 (0.176)	Loss 2.5164 (2.5372)	Prec@1 37.109 (38.466)	Prec@5 67.578 (68.375)
Epoch: [78][6340/7045]	Time 0.409 (0.241)	Data 0.358 (0.176)	Loss 2.6042 (2.5372)	Prec@1 36.328 (38.464)	Prec@5 67.578 (68.376)
Epoch: [78][6350/7045]	Time 0.110 (0.241)	Data 0.058 (0.176)	Loss 2.5350 (2.5373)	Prec@1 38.281 (38.465)	Prec@5 72.266 (68.376)
Epoch: [78][6360/7045]	Time 0.201 (0.241)	Data 0.149 (0.176)	Loss 2.5843 (2.5373)	Prec@1 35.547 (38.465)	Prec@5 66.406 (68.374)
Epoch: [78][6370/7045]	Time 0.102 (0.241)	Data 0.005 (0.176)	Loss 2.5667 (2.5373)	Prec@1 36.328 (38.467)	Prec@5 67.578 (68.374)
Epoch: [78][6380/7045]	Time 0.109 (0.241)	Data 0.056 (0.176)	Loss 2.3994 (2.5373)	Prec@1 45.703 (38.466)	Prec@5 71.094 (68.372)
Epoch: [78][6390/7045]	Time 0.111 (0.241)	Data 0.058 (0.176)	Loss 2.7000 (2.5373)	Prec@1 35.156 (38.464)	Prec@5 64.453 (68.372)
Epoch: [78][6400/7045]	Time 0.376 (0.241)	Data 0.323 (0.176)	Loss 2.6776 (2.5375)	Prec@1 36.719 (38.460)	Prec@5 67.578 (68.369)
Epoch: [78][6410/7045]	Time 0.231 (0.241)	Data 0.179 (0.176)	Loss 2.4877 (2.5374)	Prec@1 37.891 (38.461)	Prec@5 69.531 (68.372)
Epoch: [78][6420/7045]	Time 0.165 (0.241)	Data 0.113 (0.176)	Loss 2.7061 (2.5374)	Prec@1 33.594 (38.461)	Prec@5 64.453 (68.372)
Epoch: [78][6430/7045]	Time 0.473 (0.241)	Data 0.420 (0.176)	Loss 2.5691 (2.5374)	Prec@1 38.672 (38.458)	Prec@5 65.625 (68.371)
Epoch: [78][6440/7045]	Time 0.191 (0.241)	Data 0.139 (0.176)	Loss 2.5996 (2.5374)	Prec@1 39.844 (38.459)	Prec@5 69.531 (68.373)
Epoch: [78][6450/7045]	Time 0.233 (0.241)	Data 0.180 (0.176)	Loss 2.5320 (2.5374)	Prec@1 36.719 (38.459)	Prec@5 66.406 (68.371)
Epoch: [78][6460/7045]	Time 0.147 (0.241)	Data 0.094 (0.176)	Loss 2.4843 (2.5374)	Prec@1 39.062 (38.461)	Prec@5 67.969 (68.370)
Epoch: [78][6470/7045]	Time 0.324 (0.241)	Data 0.265 (0.176)	Loss 2.5485 (2.5374)	Prec@1 40.625 (38.461)	Prec@5 67.578 (68.369)
Epoch: [78][6480/7045]	Time 0.102 (0.241)	Data 0.001 (0.176)	Loss 2.7607 (2.5375)	Prec@1 33.203 (38.458)	Prec@5 62.891 (68.367)
Epoch: [78][6490/7045]	Time 0.451 (0.241)	Data 0.399 (0.176)	Loss 2.5361 (2.5375)	Prec@1 38.281 (38.459)	Prec@5 71.094 (68.368)
Epoch: [78][6500/7045]	Time 0.443 (0.241)	Data 0.391 (0.176)	Loss 2.5901 (2.5375)	Prec@1 37.500 (38.459)	Prec@5 69.531 (68.367)
Epoch: [78][6510/7045]	Time 0.150 (0.241)	Data 0.098 (0.176)	Loss 2.3785 (2.5375)	Prec@1 43.359 (38.461)	Prec@5 70.312 (68.368)
Epoch: [78][6520/7045]	Time 0.278 (0.241)	Data 0.225 (0.176)	Loss 2.6263 (2.5376)	Prec@1 30.859 (38.460)	Prec@5 66.797 (68.367)
Epoch: [78][6530/7045]	Time 0.216 (0.241)	Data 0.158 (0.176)	Loss 2.4303 (2.5376)	Prec@1 40.234 (38.459)	Prec@5 70.703 (68.367)
Epoch: [78][6540/7045]	Time 0.256 (0.241)	Data 0.204 (0.176)	Loss 2.4541 (2.5375)	Prec@1 39.453 (38.460)	Prec@5 71.484 (68.367)
Epoch: [78][6550/7045]	Time 0.235 (0.241)	Data 0.176 (0.176)	Loss 2.6801 (2.5375)	Prec@1 38.672 (38.461)	Prec@5 66.797 (68.368)
Epoch: [78][6560/7045]	Time 0.297 (0.241)	Data 0.245 (0.176)	Loss 2.4832 (2.5375)	Prec@1 35.156 (38.461)	Prec@5 67.969 (68.367)
Epoch: [78][6570/7045]	Time 0.303 (0.241)	Data 0.251 (0.176)	Loss 2.6359 (2.5375)	Prec@1 37.891 (38.462)	Prec@5 67.188 (68.367)
Epoch: [78][6580/7045]	Time 0.232 (0.241)	Data 0.179 (0.176)	Loss 2.6258 (2.5375)	Prec@1 35.547 (38.464)	Prec@5 65.234 (68.368)
Epoch: [78][6590/7045]	Time 0.326 (0.241)	Data 0.275 (0.176)	Loss 2.5604 (2.5373)	Prec@1 41.406 (38.465)	Prec@5 64.453 (68.369)
Epoch: [78][6600/7045]	Time 0.234 (0.241)	Data 0.182 (0.176)	Loss 2.6589 (2.5373)	Prec@1 34.766 (38.465)	Prec@5 65.625 (68.369)
Epoch: [78][6610/7045]	Time 0.320 (0.241)	Data 0.260 (0.176)	Loss 2.5629 (2.5374)	Prec@1 39.844 (38.463)	Prec@5 68.750 (68.369)
Epoch: [78][6620/7045]	Time 0.246 (0.241)	Data 0.195 (0.176)	Loss 2.6890 (2.5374)	Prec@1 35.547 (38.463)	Prec@5 66.016 (68.370)
Epoch: [78][6630/7045]	Time 0.249 (0.241)	Data 0.197 (0.176)	Loss 2.6634 (2.5374)	Prec@1 33.984 (38.462)	Prec@5 62.891 (68.370)
Epoch: [78][6640/7045]	Time 0.279 (0.241)	Data 0.227 (0.176)	Loss 2.3409 (2.5374)	Prec@1 44.922 (38.463)	Prec@5 75.391 (68.371)
Epoch: [78][6650/7045]	Time 0.158 (0.241)	Data 0.106 (0.176)	Loss 2.6510 (2.5375)	Prec@1 37.891 (38.460)	Prec@5 63.672 (68.368)
Epoch: [78][6660/7045]	Time 0.245 (0.241)	Data 0.194 (0.176)	Loss 2.3935 (2.5375)	Prec@1 43.359 (38.460)	Prec@5 71.094 (68.370)
Epoch: [78][6670/7045]	Time 0.143 (0.241)	Data 0.091 (0.176)	Loss 2.5169 (2.5375)	Prec@1 38.672 (38.460)	Prec@5 66.406 (68.369)
Epoch: [78][6680/7045]	Time 0.166 (0.241)	Data 0.114 (0.176)	Loss 2.4152 (2.5375)	Prec@1 41.016 (38.460)	Prec@5 67.969 (68.368)
Epoch: [78][6690/7045]	Time 0.111 (0.241)	Data 0.059 (0.176)	Loss 2.3516 (2.5375)	Prec@1 41.797 (38.463)	Prec@5 74.219 (68.369)
Epoch: [78][6700/7045]	Time 0.110 (0.241)	Data 0.057 (0.176)	Loss 2.6556 (2.5375)	Prec@1 38.281 (38.461)	Prec@5 65.625 (68.368)
Epoch: [78][6710/7045]	Time 0.114 (0.241)	Data 0.062 (0.176)	Loss 2.4061 (2.5376)	Prec@1 42.578 (38.461)	Prec@5 73.047 (68.369)
Epoch: [78][6720/7045]	Time 0.101 (0.241)	Data 0.001 (0.176)	Loss 2.5887 (2.5375)	Prec@1 38.672 (38.460)	Prec@5 67.969 (68.373)
Epoch: [78][6730/7045]	Time 0.102 (0.241)	Data 0.002 (0.176)	Loss 2.5815 (2.5375)	Prec@1 38.281 (38.459)	Prec@5 65.234 (68.370)
Epoch: [78][6740/7045]	Time 0.108 (0.241)	Data 0.055 (0.176)	Loss 2.6694 (2.5375)	Prec@1 33.984 (38.460)	Prec@5 64.062 (68.370)
Epoch: [78][6750/7045]	Time 0.102 (0.241)	Data 0.006 (0.176)	Loss 2.5208 (2.5375)	Prec@1 35.156 (38.460)	Prec@5 66.406 (68.371)
Epoch: [78][6760/7045]	Time 0.151 (0.241)	Data 0.099 (0.176)	Loss 2.5596 (2.5373)	Prec@1 40.234 (38.461)	Prec@5 68.359 (68.373)
Epoch: [78][6770/7045]	Time 0.101 (0.241)	Data 0.006 (0.176)	Loss 2.5684 (2.5374)	Prec@1 39.844 (38.461)	Prec@5 68.750 (68.371)
Epoch: [78][6780/7045]	Time 0.108 (0.241)	Data 0.055 (0.176)	Loss 2.4323 (2.5373)	Prec@1 41.406 (38.462)	Prec@5 68.750 (68.372)
Epoch: [78][6790/7045]	Time 0.102 (0.241)	Data 0.005 (0.176)	Loss 2.5861 (2.5374)	Prec@1 33.594 (38.460)	Prec@5 67.188 (68.370)
Epoch: [78][6800/7045]	Time 0.103 (0.241)	Data 0.004 (0.176)	Loss 2.6698 (2.5375)	Prec@1 35.938 (38.458)	Prec@5 65.234 (68.369)
Epoch: [78][6810/7045]	Time 0.107 (0.241)	Data 0.054 (0.176)	Loss 2.3929 (2.5374)	Prec@1 40.625 (38.459)	Prec@5 72.656 (68.370)
Epoch: [78][6820/7045]	Time 0.102 (0.241)	Data 0.001 (0.176)	Loss 2.3837 (2.5374)	Prec@1 36.328 (38.458)	Prec@5 69.531 (68.371)
Epoch: [78][6830/7045]	Time 0.161 (0.241)	Data 0.109 (0.176)	Loss 2.5262 (2.5375)	Prec@1 37.891 (38.457)	Prec@5 68.750 (68.371)
Epoch: [78][6840/7045]	Time 0.102 (0.241)	Data 0.004 (0.176)	Loss 2.3461 (2.5375)	Prec@1 40.625 (38.455)	Prec@5 70.312 (68.368)
Epoch: [78][6850/7045]	Time 0.107 (0.241)	Data 0.054 (0.176)	Loss 2.5581 (2.5376)	Prec@1 36.719 (38.453)	Prec@5 66.797 (68.366)
Epoch: [78][6860/7045]	Time 0.102 (0.241)	Data 0.001 (0.176)	Loss 2.5698 (2.5377)	Prec@1 35.547 (38.450)	Prec@5 66.016 (68.363)
Epoch: [78][6870/7045]	Time 0.108 (0.241)	Data 0.055 (0.176)	Loss 2.5632 (2.5377)	Prec@1 35.547 (38.449)	Prec@5 69.531 (68.361)
Epoch: [78][6880/7045]	Time 0.101 (0.241)	Data 0.004 (0.176)	Loss 2.3660 (2.5377)	Prec@1 38.672 (38.449)	Prec@5 73.438 (68.361)
Epoch: [78][6890/7045]	Time 0.107 (0.241)	Data 0.055 (0.176)	Loss 2.6073 (2.5377)	Prec@1 33.594 (38.449)	Prec@5 67.578 (68.360)
Epoch: [78][6900/7045]	Time 0.103 (0.241)	Data 0.004 (0.176)	Loss 2.4294 (2.5377)	Prec@1 39.844 (38.449)	Prec@5 68.359 (68.359)
Epoch: [78][6910/7045]	Time 0.108 (0.241)	Data 0.055 (0.176)	Loss 2.5378 (2.5377)	Prec@1 34.375 (38.448)	Prec@5 66.797 (68.359)
Epoch: [78][6920/7045]	Time 0.101 (0.241)	Data 0.003 (0.176)	Loss 2.3643 (2.5376)	Prec@1 42.578 (38.450)	Prec@5 69.531 (68.359)
Epoch: [78][6930/7045]	Time 0.108 (0.241)	Data 0.054 (0.176)	Loss 2.6770 (2.5376)	Prec@1 37.500 (38.450)	Prec@5 67.969 (68.360)
Epoch: [78][6940/7045]	Time 0.180 (0.241)	Data 0.127 (0.176)	Loss 2.4583 (2.5376)	Prec@1 44.531 (38.453)	Prec@5 72.266 (68.362)
Epoch: [78][6950/7045]	Time 0.102 (0.241)	Data 0.006 (0.176)	Loss 2.5845 (2.5376)	Prec@1 39.062 (38.453)	Prec@5 65.625 (68.360)
Epoch: [78][6960/7045]	Time 0.184 (0.241)	Data 0.133 (0.176)	Loss 2.4404 (2.5377)	Prec@1 37.500 (38.450)	Prec@5 68.359 (68.359)
Epoch: [78][6970/7045]	Time 0.102 (0.241)	Data 0.007 (0.176)	Loss 2.6214 (2.5377)	Prec@1 37.109 (38.450)	Prec@5 67.188 (68.360)
Epoch: [78][6980/7045]	Time 0.200 (0.241)	Data 0.148 (0.176)	Loss 2.7093 (2.5376)	Prec@1 37.500 (38.452)	Prec@5 63.672 (68.360)
Epoch: [78][6990/7045]	Time 0.108 (0.241)	Data 0.001 (0.176)	Loss 2.3992 (2.5375)	Prec@1 42.578 (38.455)	Prec@5 70.703 (68.361)
Epoch: [78][7000/7045]	Time 0.219 (0.241)	Data 0.167 (0.176)	Loss 2.7380 (2.5375)	Prec@1 33.984 (38.454)	Prec@5 62.500 (68.362)
Epoch: [78][7010/7045]	Time 0.102 (0.241)	Data 0.006 (0.176)	Loss 2.6926 (2.5376)	Prec@1 34.766 (38.450)	Prec@5 66.797 (68.360)
Epoch: [78][7020/7045]	Time 0.218 (0.241)	Data 0.167 (0.176)	Loss 2.4824 (2.5375)	Prec@1 40.234 (38.454)	Prec@5 71.094 (68.362)
Epoch: [78][7030/7045]	Time 0.102 (0.241)	Data 0.006 (0.176)	Loss 2.4469 (2.5375)	Prec@1 39.453 (38.454)	Prec@5 71.094 (68.363)
Epoch: [78][7040/7045]	Time 0.167 (0.241)	Data 0.115 (0.176)	Loss 2.4831 (2.5376)	Prec@1 39.062 (38.453)	Prec@5 69.141 (68.361)
Test: [0/143]	Time 1.105 (1.105)	Loss 2.2281 (2.2281)	Prec@1 47.266 (47.266)	Prec@5 75.391 (75.391)
Test: [10/143]	Time 0.063 (0.248)	Loss 1.6254 (1.9807)	Prec@1 64.062 (50.781)	Prec@5 84.375 (79.048)
Test: [20/143]	Time 0.274 (0.215)	Loss 2.0107 (1.9591)	Prec@1 46.484 (49.535)	Prec@5 80.078 (79.520)
Test: [30/143]	Time 0.110 (0.205)	Loss 2.2174 (1.9989)	Prec@1 48.047 (49.294)	Prec@5 71.094 (78.390)
Test: [40/143]	Time 0.205 (0.193)	Loss 2.6779 (2.0431)	Prec@1 26.562 (48.066)	Prec@5 67.969 (77.658)
Test: [50/143]	Time 0.114 (0.190)	Loss 1.8687 (2.0981)	Prec@1 44.922 (46.255)	Prec@5 83.203 (77.114)
Test: [60/143]	Time 0.057 (0.186)	Loss 2.4062 (2.0879)	Prec@1 35.547 (46.472)	Prec@5 74.609 (77.440)
Test: [70/143]	Time 0.058 (0.183)	Loss 2.9663 (2.0792)	Prec@1 25.000 (46.759)	Prec@5 61.719 (77.564)
Test: [80/143]	Time 0.115 (0.182)	Loss 2.0384 (2.0691)	Prec@1 46.484 (47.010)	Prec@5 81.250 (77.855)
Test: [90/143]	Time 0.048 (0.181)	Loss 1.8095 (2.0659)	Prec@1 53.125 (47.030)	Prec@5 86.719 (77.975)
Test: [100/143]	Time 0.323 (0.181)	Loss 1.8800 (2.0655)	Prec@1 55.859 (46.976)	Prec@5 83.594 (78.071)
Test: [110/143]	Time 0.048 (0.179)	Loss 1.9777 (2.0619)	Prec@1 50.391 (47.174)	Prec@5 78.125 (78.153)
Test: [120/143]	Time 0.360 (0.179)	Loss 1.8305 (2.0547)	Prec@1 52.344 (47.398)	Prec@5 83.984 (78.190)
Test: [130/143]	Time 0.069 (0.177)	Loss 1.5570 (2.0625)	Prec@1 66.016 (47.346)	Prec@5 82.031 (78.006)
Test: [140/143]	Time 0.444 (0.178)	Loss 3.1895 (2.0854)	Prec@1 20.703 (46.806)	Prec@5 60.547 (77.626)
 * Prec@1 46.830 Prec@5 77.647
Epoch: [79][0/7045]	Time 2.210 (2.210)	Data 2.146 (2.146)	Loss 2.4451 (2.4451)	Prec@1 40.234 (40.234)	Prec@5 72.266 (72.266)
Epoch: [79][10/7045]	Time 0.100 (0.410)	Data 0.045 (0.334)	Loss 2.5534 (2.5031)	Prec@1 34.375 (39.240)	Prec@5 69.922 (69.886)
Epoch: [79][20/7045]	Time 0.603 (0.347)	Data 0.544 (0.268)	Loss 2.4684 (2.5196)	Prec@1 41.406 (38.411)	Prec@5 70.312 (69.271)
Epoch: [79][30/7045]	Time 0.112 (0.307)	Data 0.060 (0.230)	Loss 2.4292 (2.5146)	Prec@1 38.672 (38.495)	Prec@5 69.531 (69.317)
Epoch: [79][40/7045]	Time 0.645 (0.298)	Data 0.593 (0.222)	Loss 2.5102 (2.5094)	Prec@1 37.109 (38.481)	Prec@5 69.531 (69.465)
Epoch: [79][50/7045]	Time 0.251 (0.283)	Data 0.200 (0.210)	Loss 2.6331 (2.5189)	Prec@1 35.547 (38.404)	Prec@5 68.359 (69.018)
Epoch: [79][60/7045]	Time 0.425 (0.279)	Data 0.373 (0.208)	Loss 2.5703 (2.5212)	Prec@1 40.625 (38.461)	Prec@5 66.797 (68.776)
Epoch: [79][70/7045]	Time 0.133 (0.272)	Data 0.080 (0.202)	Loss 2.6019 (2.5226)	Prec@1 36.719 (38.430)	Prec@5 64.453 (68.574)
Epoch: [79][80/7045]	Time 0.220 (0.271)	Data 0.167 (0.201)	Loss 2.5007 (2.5232)	Prec@1 37.891 (38.450)	Prec@5 70.703 (68.441)
Epoch: [79][90/7045]	Time 0.286 (0.267)	Data 0.235 (0.198)	Loss 2.5578 (2.5221)	Prec@1 41.406 (38.590)	Prec@5 69.141 (68.415)
Epoch: [79][100/7045]	Time 0.102 (0.267)	Data 0.001 (0.198)	Loss 2.4254 (2.5190)	Prec@1 39.844 (38.548)	Prec@5 72.266 (68.502)
Epoch: [79][110/7045]	Time 0.354 (0.264)	Data 0.302 (0.194)	Loss 2.5710 (2.5216)	Prec@1 36.719 (38.566)	Prec@5 67.969 (68.504)
Epoch: [79][120/7045]	Time 0.103 (0.262)	Data 0.001 (0.193)	Loss 2.3982 (2.5220)	Prec@1 40.234 (38.614)	Prec@5 69.141 (68.501)
Epoch: [79][130/7045]	Time 0.294 (0.261)	Data 0.241 (0.193)	Loss 2.4945 (2.5205)	Prec@1 41.016 (38.651)	Prec@5 69.141 (68.446)
Epoch: [79][140/7045]	Time 0.131 (0.259)	Data 0.078 (0.192)	Loss 2.9013 (2.5277)	Prec@1 33.203 (38.533)	Prec@5 60.938 (68.357)
Epoch: [79][150/7045]	Time 0.102 (0.258)	Data 0.001 (0.192)	Loss 2.6015 (2.5288)	Prec@1 36.719 (38.566)	Prec@5 66.797 (68.424)
Epoch: [79][160/7045]	Time 0.102 (0.257)	Data 0.049 (0.191)	Loss 2.5373 (2.5274)	Prec@1 42.188 (38.548)	Prec@5 69.922 (68.454)
Epoch: [79][170/7045]	Time 0.192 (0.257)	Data 0.140 (0.192)	Loss 2.5332 (2.5264)	Prec@1 39.453 (38.569)	Prec@5 67.969 (68.432)
Epoch: [79][180/7045]	Time 0.110 (0.255)	Data 0.057 (0.190)	Loss 2.3422 (2.5259)	Prec@1 46.094 (38.644)	Prec@5 71.484 (68.418)
Epoch: [79][190/7045]	Time 0.431 (0.256)	Data 0.373 (0.191)	Loss 2.4749 (2.5271)	Prec@1 38.672 (38.647)	Prec@5 68.750 (68.382)
Epoch: [79][200/7045]	Time 0.116 (0.254)	Data 0.064 (0.189)	Loss 2.6678 (2.5250)	Prec@1 37.500 (38.703)	Prec@5 66.406 (68.447)
Epoch: [79][210/7045]	Time 0.363 (0.255)	Data 0.304 (0.190)	Loss 2.5224 (2.5234)	Prec@1 38.672 (38.790)	Prec@5 68.359 (68.470)
Epoch: [79][220/7045]	Time 0.268 (0.253)	Data 0.218 (0.190)	Loss 2.6946 (2.5246)	Prec@1 35.547 (38.732)	Prec@5 67.969 (68.464)
Epoch: [79][230/7045]	Time 0.330 (0.253)	Data 0.278 (0.190)	Loss 2.3773 (2.5225)	Prec@1 42.969 (38.763)	Prec@5 75.391 (68.544)
Epoch: [79][240/7045]	Time 0.449 (0.253)	Data 0.397 (0.190)	Loss 2.4660 (2.5228)	Prec@1 42.188 (38.764)	Prec@5 69.141 (68.544)
Epoch: [79][250/7045]	Time 0.220 (0.252)	Data 0.167 (0.189)	Loss 2.6400 (2.5265)	Prec@1 35.938 (38.712)	Prec@5 66.406 (68.467)
Epoch: [79][260/7045]	Time 0.490 (0.253)	Data 0.437 (0.190)	Loss 2.5219 (2.5254)	Prec@1 38.281 (38.771)	Prec@5 66.797 (68.509)
Epoch: [79][270/7045]	Time 0.111 (0.252)	Data 0.058 (0.189)	Loss 2.4425 (2.5237)	Prec@1 40.234 (38.787)	Prec@5 68.750 (68.545)
Epoch: [79][280/7045]	Time 0.301 (0.251)	Data 0.250 (0.189)	Loss 2.3876 (2.5242)	Prec@1 39.453 (38.747)	Prec@5 74.219 (68.572)
Epoch: [79][290/7045]	Time 0.285 (0.252)	Data 0.233 (0.189)	Loss 2.5333 (2.5232)	Prec@1 41.797 (38.762)	Prec@5 67.578 (68.580)
Epoch: [79][300/7045]	Time 0.231 (0.251)	Data 0.178 (0.188)	Loss 2.6786 (2.5239)	Prec@1 39.062 (38.743)	Prec@5 66.797 (68.575)
Epoch: [79][310/7045]	Time 0.205 (0.251)	Data 0.152 (0.189)	Loss 2.5199 (2.5248)	Prec@1 42.188 (38.752)	Prec@5 67.578 (68.553)
Epoch: [79][320/7045]	Time 0.137 (0.250)	Data 0.085 (0.189)	Loss 2.6860 (2.5262)	Prec@1 34.766 (38.716)	Prec@5 64.062 (68.519)
Epoch: [79][330/7045]	Time 0.186 (0.250)	Data 0.134 (0.188)	Loss 2.5236 (2.5269)	Prec@1 42.969 (38.742)	Prec@5 70.312 (68.499)
Epoch: [79][340/7045]	Time 0.106 (0.250)	Data 0.053 (0.189)	Loss 2.3109 (2.5289)	Prec@1 42.969 (38.696)	Prec@5 71.094 (68.464)
Epoch: [79][350/7045]	Time 0.169 (0.249)	Data 0.117 (0.188)	Loss 2.7146 (2.5303)	Prec@1 33.203 (38.665)	Prec@5 63.281 (68.432)
Epoch: [79][360/7045]	Time 0.102 (0.250)	Data 0.001 (0.189)	Loss 2.5743 (2.5304)	Prec@1 38.672 (38.628)	Prec@5 66.797 (68.432)
Epoch: [79][370/7045]	Time 0.103 (0.249)	Data 0.044 (0.188)	Loss 2.5049 (2.5296)	Prec@1 39.062 (38.626)	Prec@5 70.312 (68.427)
Epoch: [79][380/7045]	Time 0.102 (0.250)	Data 0.045 (0.188)	Loss 2.2130 (2.5293)	Prec@1 44.531 (38.636)	Prec@5 73.828 (68.443)
Epoch: [79][390/7045]	Time 0.101 (0.249)	Data 0.049 (0.187)	Loss 2.6418 (2.5298)	Prec@1 40.234 (38.645)	Prec@5 66.016 (68.436)
Epoch: [79][400/7045]	Time 0.110 (0.249)	Data 0.003 (0.188)	Loss 2.6416 (2.5295)	Prec@1 37.500 (38.655)	Prec@5 64.844 (68.430)
Epoch: [79][410/7045]	Time 0.129 (0.248)	Data 0.077 (0.187)	Loss 2.4630 (2.5292)	Prec@1 42.969 (38.675)	Prec@5 69.922 (68.470)
Epoch: [79][420/7045]	Time 0.100 (0.249)	Data 0.005 (0.187)	Loss 2.3745 (2.5280)	Prec@1 41.016 (38.694)	Prec@5 69.141 (68.474)
Epoch: [79][430/7045]	Time 0.288 (0.249)	Data 0.237 (0.187)	Loss 2.6798 (2.5273)	Prec@1 35.156 (38.693)	Prec@5 66.406 (68.493)
Epoch: [79][440/7045]	Time 0.100 (0.248)	Data 0.001 (0.186)	Loss 2.4855 (2.5265)	Prec@1 39.453 (38.717)	Prec@5 70.312 (68.529)
Epoch: [79][450/7045]	Time 0.591 (0.249)	Data 0.539 (0.186)	Loss 2.6938 (2.5263)	Prec@1 35.938 (38.730)	Prec@5 65.234 (68.520)
Epoch: [79][460/7045]	Time 0.102 (0.249)	Data 0.001 (0.186)	Loss 2.5522 (2.5257)	Prec@1 39.844 (38.732)	Prec@5 67.969 (68.532)
Epoch: [79][470/7045]	Time 0.708 (0.249)	Data 0.657 (0.186)	Loss 2.6238 (2.5270)	Prec@1 35.938 (38.707)	Prec@5 67.578 (68.523)
Epoch: [79][480/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 2.5214 (2.5274)	Prec@1 40.234 (38.689)	Prec@5 68.750 (68.493)
Epoch: [79][490/7045]	Time 0.578 (0.249)	Data 0.525 (0.184)	Loss 2.6600 (2.5272)	Prec@1 41.016 (38.701)	Prec@5 67.188 (68.493)
Epoch: [79][500/7045]	Time 0.103 (0.248)	Data 0.001 (0.183)	Loss 2.4449 (2.5286)	Prec@1 36.719 (38.676)	Prec@5 68.750 (68.454)
Epoch: [79][510/7045]	Time 0.489 (0.248)	Data 0.437 (0.183)	Loss 2.6360 (2.5290)	Prec@1 33.203 (38.654)	Prec@5 66.797 (68.437)
Epoch: [79][520/7045]	Time 0.102 (0.248)	Data 0.001 (0.182)	Loss 2.6712 (2.5297)	Prec@1 35.156 (38.632)	Prec@5 66.797 (68.429)
Epoch: [79][530/7045]	Time 0.321 (0.248)	Data 0.268 (0.183)	Loss 2.4115 (2.5301)	Prec@1 39.453 (38.648)	Prec@5 73.047 (68.434)
Epoch: [79][540/7045]	Time 0.102 (0.247)	Data 0.001 (0.182)	Loss 2.3554 (2.5300)	Prec@1 42.969 (38.640)	Prec@5 70.703 (68.461)
Epoch: [79][550/7045]	Time 0.108 (0.248)	Data 0.005 (0.182)	Loss 2.6093 (2.5299)	Prec@1 39.453 (38.639)	Prec@5 69.531 (68.462)
Epoch: [79][560/7045]	Time 0.102 (0.247)	Data 0.001 (0.181)	Loss 2.5638 (2.5295)	Prec@1 37.109 (38.627)	Prec@5 69.141 (68.490)
Epoch: [79][570/7045]	Time 0.103 (0.247)	Data 0.007 (0.181)	Loss 2.4278 (2.5283)	Prec@1 41.016 (38.643)	Prec@5 69.531 (68.513)
Epoch: [79][580/7045]	Time 0.139 (0.247)	Data 0.087 (0.180)	Loss 2.3798 (2.5272)	Prec@1 39.844 (38.671)	Prec@5 72.266 (68.532)
Epoch: [79][590/7045]	Time 0.102 (0.247)	Data 0.010 (0.180)	Loss 2.4284 (2.5277)	Prec@1 41.016 (38.683)	Prec@5 70.703 (68.515)
Epoch: [79][600/7045]	Time 0.372 (0.247)	Data 0.320 (0.180)	Loss 2.4908 (2.5278)	Prec@1 41.016 (38.680)	Prec@5 69.922 (68.521)
Epoch: [79][610/7045]	Time 0.101 (0.247)	Data 0.007 (0.180)	Loss 2.7855 (2.5283)	Prec@1 36.328 (38.692)	Prec@5 63.281 (68.517)
Epoch: [79][620/7045]	Time 0.664 (0.247)	Data 0.612 (0.180)	Loss 2.4427 (2.5270)	Prec@1 41.406 (38.706)	Prec@5 70.703 (68.540)
Epoch: [79][630/7045]	Time 0.100 (0.247)	Data 0.001 (0.179)	Loss 2.4417 (2.5268)	Prec@1 40.234 (38.705)	Prec@5 66.797 (68.540)
Epoch: [79][640/7045]	Time 0.593 (0.247)	Data 0.533 (0.179)	Loss 2.5218 (2.5273)	Prec@1 39.844 (38.693)	Prec@5 68.359 (68.529)
Epoch: [79][650/7045]	Time 0.102 (0.247)	Data 0.001 (0.179)	Loss 2.4184 (2.5276)	Prec@1 41.016 (38.702)	Prec@5 71.094 (68.520)
Epoch: [79][660/7045]	Time 0.592 (0.247)	Data 0.540 (0.179)	Loss 2.3885 (2.5276)	Prec@1 40.234 (38.703)	Prec@5 72.656 (68.514)
Epoch: [79][670/7045]	Time 0.112 (0.247)	Data 0.060 (0.178)	Loss 2.3968 (2.5278)	Prec@1 41.016 (38.702)	Prec@5 71.094 (68.504)
Epoch: [79][680/7045]	Time 0.408 (0.247)	Data 0.356 (0.179)	Loss 2.4540 (2.5272)	Prec@1 42.188 (38.723)	Prec@5 69.141 (68.514)
Epoch: [79][690/7045]	Time 0.111 (0.246)	Data 0.060 (0.178)	Loss 2.3298 (2.5266)	Prec@1 44.141 (38.726)	Prec@5 73.047 (68.521)
Epoch: [79][700/7045]	Time 0.134 (0.247)	Data 0.081 (0.179)	Loss 2.6280 (2.5270)	Prec@1 39.062 (38.722)	Prec@5 65.625 (68.513)
Epoch: [79][710/7045]	Time 0.112 (0.246)	Data 0.059 (0.178)	Loss 2.4635 (2.5274)	Prec@1 38.672 (38.714)	Prec@5 71.094 (68.498)
Epoch: [79][720/7045]	Time 0.109 (0.247)	Data 0.006 (0.178)	Loss 2.4877 (2.5273)	Prec@1 44.531 (38.730)	Prec@5 68.750 (68.492)
Epoch: [79][730/7045]	Time 0.102 (0.246)	Data 0.001 (0.178)	Loss 2.7217 (2.5270)	Prec@1 34.375 (38.729)	Prec@5 66.016 (68.489)
Epoch: [79][740/7045]	Time 0.102 (0.246)	Data 0.002 (0.178)	Loss 2.5898 (2.5266)	Prec@1 40.625 (38.727)	Prec@5 66.016 (68.494)
Epoch: [79][750/7045]	Time 0.222 (0.246)	Data 0.169 (0.178)	Loss 2.7159 (2.5274)	Prec@1 38.281 (38.717)	Prec@5 65.234 (68.481)
Epoch: [79][760/7045]	Time 0.102 (0.246)	Data 0.005 (0.178)	Loss 2.5585 (2.5267)	Prec@1 39.062 (38.724)	Prec@5 67.578 (68.486)
Epoch: [79][770/7045]	Time 0.431 (0.246)	Data 0.378 (0.178)	Loss 2.5091 (2.5265)	Prec@1 36.719 (38.710)	Prec@5 70.703 (68.487)
Epoch: [79][780/7045]	Time 0.102 (0.246)	Data 0.001 (0.178)	Loss 2.5736 (2.5269)	Prec@1 35.547 (38.684)	Prec@5 69.141 (68.478)
Epoch: [79][790/7045]	Time 0.725 (0.247)	Data 0.673 (0.178)	Loss 2.4089 (2.5271)	Prec@1 42.578 (38.675)	Prec@5 70.312 (68.477)
Epoch: [79][800/7045]	Time 0.119 (0.246)	Data 0.061 (0.178)	Loss 2.5952 (2.5268)	Prec@1 39.453 (38.690)	Prec@5 62.109 (68.477)
Epoch: [79][810/7045]	Time 0.636 (0.247)	Data 0.582 (0.178)	Loss 2.4036 (2.5264)	Prec@1 38.672 (38.694)	Prec@5 69.531 (68.492)
Epoch: [79][820/7045]	Time 0.185 (0.246)	Data 0.127 (0.178)	Loss 2.2362 (2.5254)	Prec@1 44.531 (38.709)	Prec@5 76.562 (68.520)
Epoch: [79][830/7045]	Time 0.663 (0.246)	Data 0.610 (0.178)	Loss 2.4774 (2.5252)	Prec@1 38.672 (38.717)	Prec@5 68.359 (68.530)
Epoch: [79][840/7045]	Time 0.109 (0.246)	Data 0.056 (0.178)	Loss 2.7324 (2.5254)	Prec@1 35.938 (38.713)	Prec@5 65.234 (68.528)
Epoch: [79][850/7045]	Time 0.357 (0.246)	Data 0.305 (0.178)	Loss 2.6064 (2.5245)	Prec@1 37.500 (38.718)	Prec@5 65.625 (68.564)
Epoch: [79][860/7045]	Time 0.172 (0.246)	Data 0.120 (0.178)	Loss 2.2023 (2.5239)	Prec@1 41.016 (38.715)	Prec@5 75.391 (68.581)
Epoch: [79][870/7045]	Time 0.110 (0.246)	Data 0.057 (0.178)	Loss 2.5653 (2.5237)	Prec@1 41.016 (38.719)	Prec@5 65.234 (68.587)
Epoch: [79][880/7045]	Time 0.106 (0.246)	Data 0.053 (0.178)	Loss 2.6098 (2.5236)	Prec@1 39.062 (38.718)	Prec@5 66.016 (68.587)
Epoch: [79][890/7045]	Time 0.107 (0.246)	Data 0.005 (0.178)	Loss 2.3194 (2.5232)	Prec@1 39.453 (38.727)	Prec@5 75.391 (68.598)
Epoch: [79][900/7045]	Time 0.183 (0.246)	Data 0.130 (0.178)	Loss 2.6765 (2.5229)	Prec@1 32.812 (38.722)	Prec@5 63.672 (68.597)
Epoch: [79][910/7045]	Time 0.102 (0.246)	Data 0.001 (0.178)	Loss 2.6271 (2.5235)	Prec@1 35.938 (38.718)	Prec@5 68.750 (68.575)
Epoch: [79][920/7045]	Time 0.102 (0.246)	Data 0.005 (0.178)	Loss 2.4790 (2.5227)	Prec@1 34.375 (38.715)	Prec@5 70.703 (68.594)
Epoch: [79][930/7045]	Time 0.102 (0.246)	Data 0.006 (0.177)	Loss 2.6354 (2.5237)	Prec@1 37.891 (38.697)	Prec@5 65.234 (68.572)
Epoch: [79][940/7045]	Time 0.102 (0.246)	Data 0.001 (0.177)	Loss 2.5143 (2.5235)	Prec@1 40.625 (38.694)	Prec@5 67.969 (68.573)
Epoch: [79][950/7045]	Time 0.102 (0.246)	Data 0.001 (0.177)	Loss 2.6722 (2.5238)	Prec@1 39.453 (38.697)	Prec@5 66.406 (68.568)
Epoch: [79][960/7045]	Time 0.108 (0.246)	Data 0.054 (0.177)	Loss 2.5230 (2.5237)	Prec@1 40.234 (38.701)	Prec@5 69.141 (68.570)
Epoch: [79][970/7045]	Time 0.102 (0.246)	Data 0.001 (0.177)	Loss 2.5605 (2.5237)	Prec@1 40.234 (38.704)	Prec@5 68.359 (68.581)
Epoch: [79][980/7045]	Time 0.249 (0.246)	Data 0.197 (0.177)	Loss 2.4991 (2.5232)	Prec@1 38.672 (38.707)	Prec@5 67.578 (68.589)
Epoch: [79][990/7045]	Time 0.102 (0.246)	Data 0.001 (0.177)	Loss 2.8766 (2.5243)	Prec@1 34.766 (38.692)	Prec@5 58.594 (68.571)
Epoch: [79][1000/7045]	Time 0.291 (0.246)	Data 0.238 (0.177)	Loss 2.2747 (2.5241)	Prec@1 42.188 (38.698)	Prec@5 73.047 (68.584)
Epoch: [79][1010/7045]	Time 0.104 (0.245)	Data 0.051 (0.177)	Loss 2.5470 (2.5247)	Prec@1 41.406 (38.702)	Prec@5 68.359 (68.575)
Epoch: [79][1020/7045]	Time 0.380 (0.245)	Data 0.329 (0.177)	Loss 2.4513 (2.5244)	Prec@1 40.234 (38.701)	Prec@5 69.141 (68.580)
Epoch: [79][1030/7045]	Time 0.104 (0.245)	Data 0.051 (0.178)	Loss 2.6572 (2.5244)	Prec@1 33.984 (38.703)	Prec@5 67.188 (68.581)
Epoch: [79][1040/7045]	Time 0.376 (0.245)	Data 0.324 (0.178)	Loss 2.5173 (2.5246)	Prec@1 38.672 (38.697)	Prec@5 69.531 (68.579)
Epoch: [79][1050/7045]	Time 0.101 (0.245)	Data 0.004 (0.178)	Loss 2.2872 (2.5246)	Prec@1 42.969 (38.708)	Prec@5 71.875 (68.572)
Epoch: [79][1060/7045]	Time 0.365 (0.245)	Data 0.314 (0.178)	Loss 2.8086 (2.5248)	Prec@1 36.719 (38.716)	Prec@5 62.891 (68.566)
Epoch: [79][1070/7045]	Time 0.102 (0.245)	Data 0.046 (0.178)	Loss 2.6175 (2.5251)	Prec@1 39.062 (38.728)	Prec@5 64.844 (68.559)
Epoch: [79][1080/7045]	Time 0.448 (0.245)	Data 0.396 (0.178)	Loss 2.4729 (2.5252)	Prec@1 41.016 (38.729)	Prec@5 68.750 (68.557)
Epoch: [79][1090/7045]	Time 0.109 (0.245)	Data 0.055 (0.178)	Loss 2.4359 (2.5250)	Prec@1 39.453 (38.735)	Prec@5 67.969 (68.552)
Epoch: [79][1100/7045]	Time 0.553 (0.245)	Data 0.501 (0.178)	Loss 2.5259 (2.5252)	Prec@1 42.188 (38.730)	Prec@5 66.797 (68.552)
Epoch: [79][1110/7045]	Time 0.122 (0.245)	Data 0.062 (0.178)	Loss 2.4251 (2.5248)	Prec@1 41.016 (38.747)	Prec@5 68.359 (68.552)
Epoch: [79][1120/7045]	Time 0.587 (0.245)	Data 0.534 (0.178)	Loss 2.5520 (2.5243)	Prec@1 39.844 (38.750)	Prec@5 67.969 (68.563)
Epoch: [79][1130/7045]	Time 0.110 (0.245)	Data 0.003 (0.178)	Loss 2.5321 (2.5244)	Prec@1 37.500 (38.735)	Prec@5 66.016 (68.555)
Epoch: [79][1140/7045]	Time 0.579 (0.245)	Data 0.528 (0.178)	Loss 2.5141 (2.5245)	Prec@1 41.016 (38.734)	Prec@5 67.969 (68.554)
Epoch: [79][1150/7045]	Time 0.112 (0.245)	Data 0.059 (0.178)	Loss 2.7126 (2.5248)	Prec@1 38.281 (38.724)	Prec@5 67.969 (68.553)
Epoch: [79][1160/7045]	Time 0.556 (0.245)	Data 0.503 (0.178)	Loss 2.6031 (2.5246)	Prec@1 38.672 (38.729)	Prec@5 66.797 (68.554)
Epoch: [79][1170/7045]	Time 0.102 (0.245)	Data 0.005 (0.178)	Loss 2.5362 (2.5247)	Prec@1 42.578 (38.730)	Prec@5 68.359 (68.548)
Epoch: [79][1180/7045]	Time 0.613 (0.245)	Data 0.560 (0.178)	Loss 2.4519 (2.5250)	Prec@1 40.625 (38.721)	Prec@5 69.922 (68.537)
Epoch: [79][1190/7045]	Time 0.103 (0.245)	Data 0.050 (0.178)	Loss 2.7622 (2.5252)	Prec@1 39.844 (38.720)	Prec@5 66.406 (68.530)
Epoch: [79][1200/7045]	Time 0.621 (0.245)	Data 0.568 (0.178)	Loss 2.3445 (2.5249)	Prec@1 45.703 (38.734)	Prec@5 72.656 (68.548)
Epoch: [79][1210/7045]	Time 0.102 (0.245)	Data 0.049 (0.178)	Loss 2.8781 (2.5250)	Prec@1 34.375 (38.727)	Prec@5 62.109 (68.544)
Epoch: [79][1220/7045]	Time 0.611 (0.245)	Data 0.558 (0.178)	Loss 2.6748 (2.5253)	Prec@1 37.500 (38.727)	Prec@5 64.062 (68.534)
Epoch: [79][1230/7045]	Time 0.105 (0.245)	Data 0.051 (0.178)	Loss 2.6930 (2.5255)	Prec@1 33.594 (38.722)	Prec@5 68.359 (68.532)
Epoch: [79][1240/7045]	Time 0.581 (0.245)	Data 0.528 (0.178)	Loss 2.5312 (2.5260)	Prec@1 39.062 (38.719)	Prec@5 69.922 (68.525)
Epoch: [79][1250/7045]	Time 0.102 (0.245)	Data 0.001 (0.177)	Loss 2.5265 (2.5266)	Prec@1 40.625 (38.713)	Prec@5 67.578 (68.515)
Epoch: [79][1260/7045]	Time 0.692 (0.245)	Data 0.640 (0.178)	Loss 2.2992 (2.5269)	Prec@1 45.312 (38.710)	Prec@5 71.875 (68.510)
Epoch: [79][1270/7045]	Time 0.096 (0.245)	Data 0.001 (0.177)	Loss 2.4705 (2.5265)	Prec@1 39.453 (38.717)	Prec@5 70.312 (68.517)
Epoch: [79][1280/7045]	Time 0.652 (0.245)	Data 0.599 (0.177)	Loss 2.5430 (2.5268)	Prec@1 38.672 (38.716)	Prec@5 66.797 (68.507)
Epoch: [79][1290/7045]	Time 0.102 (0.244)	Data 0.001 (0.177)	Loss 2.4634 (2.5268)	Prec@1 39.844 (38.720)	Prec@5 70.312 (68.503)
Epoch: [79][1300/7045]	Time 0.737 (0.245)	Data 0.684 (0.177)	Loss 2.5118 (2.5264)	Prec@1 41.016 (38.729)	Prec@5 67.188 (68.508)
Epoch: [79][1310/7045]	Time 0.156 (0.244)	Data 0.103 (0.177)	Loss 2.6913 (2.5263)	Prec@1 36.328 (38.735)	Prec@5 66.797 (68.510)
Epoch: [79][1320/7045]	Time 0.551 (0.245)	Data 0.492 (0.177)	Loss 2.3621 (2.5260)	Prec@1 41.406 (38.740)	Prec@5 73.438 (68.517)
Epoch: [79][1330/7045]	Time 0.113 (0.244)	Data 0.060 (0.177)	Loss 2.3859 (2.5259)	Prec@1 38.281 (38.746)	Prec@5 68.359 (68.514)
Epoch: [79][1340/7045]	Time 0.301 (0.245)	Data 0.249 (0.177)	Loss 2.4658 (2.5262)	Prec@1 37.891 (38.735)	Prec@5 69.922 (68.509)
Epoch: [79][1350/7045]	Time 0.103 (0.244)	Data 0.003 (0.177)	Loss 2.4741 (2.5263)	Prec@1 40.234 (38.729)	Prec@5 69.531 (68.496)
Epoch: [79][1360/7045]	Time 0.115 (0.245)	Data 0.055 (0.177)	Loss 2.5447 (2.5265)	Prec@1 38.281 (38.729)	Prec@5 69.531 (68.489)
Epoch: [79][1370/7045]	Time 0.102 (0.244)	Data 0.001 (0.177)	Loss 2.4229 (2.5267)	Prec@1 41.016 (38.724)	Prec@5 69.141 (68.488)
Epoch: [79][1380/7045]	Time 0.145 (0.245)	Data 0.093 (0.177)	Loss 2.5724 (2.5268)	Prec@1 38.672 (38.723)	Prec@5 70.703 (68.487)
Epoch: [79][1390/7045]	Time 0.102 (0.244)	Data 0.001 (0.176)	Loss 2.5175 (2.5267)	Prec@1 40.234 (38.717)	Prec@5 73.438 (68.494)
Epoch: [79][1400/7045]	Time 0.108 (0.245)	Data 0.001 (0.177)	Loss 2.4644 (2.5266)	Prec@1 41.797 (38.721)	Prec@5 73.047 (68.507)
Epoch: [79][1410/7045]	Time 0.269 (0.244)	Data 0.216 (0.176)	Loss 2.3435 (2.5265)	Prec@1 40.625 (38.726)	Prec@5 72.656 (68.512)
Epoch: [79][1420/7045]	Time 0.102 (0.245)	Data 0.001 (0.177)	Loss 2.7068 (2.5266)	Prec@1 38.281 (38.727)	Prec@5 66.016 (68.509)
Epoch: [79][1430/7045]	Time 0.425 (0.244)	Data 0.372 (0.177)	Loss 2.5575 (2.5272)	Prec@1 38.281 (38.717)	Prec@5 66.406 (68.495)
Epoch: [79][1440/7045]	Time 0.108 (0.244)	Data 0.001 (0.176)	Loss 2.6119 (2.5274)	Prec@1 35.547 (38.717)	Prec@5 69.531 (68.493)
Epoch: [79][1450/7045]	Time 0.586 (0.245)	Data 0.528 (0.177)	Loss 2.5772 (2.5275)	Prec@1 39.844 (38.715)	Prec@5 66.797 (68.488)
Epoch: [79][1460/7045]	Time 0.108 (0.244)	Data 0.003 (0.176)	Loss 2.4219 (2.5274)	Prec@1 41.016 (38.715)	Prec@5 73.047 (68.494)
Epoch: [79][1470/7045]	Time 0.565 (0.245)	Data 0.512 (0.177)	Loss 2.2758 (2.5278)	Prec@1 44.531 (38.710)	Prec@5 76.953 (68.481)
Epoch: [79][1480/7045]	Time 0.160 (0.244)	Data 0.102 (0.177)	Loss 2.5727 (2.5280)	Prec@1 42.188 (38.714)	Prec@5 67.969 (68.481)
Epoch: [79][1490/7045]	Time 0.483 (0.244)	Data 0.425 (0.177)	Loss 2.7057 (2.5280)	Prec@1 38.672 (38.718)	Prec@5 65.234 (68.480)
Epoch: [79][1500/7045]	Time 0.230 (0.244)	Data 0.179 (0.177)	Loss 2.6333 (2.5285)	Prec@1 39.453 (38.713)	Prec@5 66.406 (68.476)
Epoch: [79][1510/7045]	Time 0.266 (0.244)	Data 0.215 (0.177)	Loss 2.4901 (2.5287)	Prec@1 37.109 (38.712)	Prec@5 70.703 (68.478)
Epoch: [79][1520/7045]	Time 0.194 (0.244)	Data 0.143 (0.177)	Loss 2.4179 (2.5288)	Prec@1 37.891 (38.703)	Prec@5 67.969 (68.480)
Epoch: [79][1530/7045]	Time 0.097 (0.244)	Data 0.001 (0.177)	Loss 2.3194 (2.5282)	Prec@1 42.578 (38.710)	Prec@5 75.000 (68.488)
Epoch: [79][1540/7045]	Time 0.220 (0.244)	Data 0.168 (0.177)	Loss 2.7308 (2.5285)	Prec@1 33.594 (38.709)	Prec@5 63.281 (68.484)
Epoch: [79][1550/7045]	Time 0.164 (0.244)	Data 0.112 (0.177)	Loss 2.6162 (2.5286)	Prec@1 41.016 (38.706)	Prec@5 68.359 (68.485)
Epoch: [79][1560/7045]	Time 0.145 (0.244)	Data 0.093 (0.177)	Loss 2.5761 (2.5286)	Prec@1 35.547 (38.702)	Prec@5 65.234 (68.484)
Epoch: [79][1570/7045]	Time 0.125 (0.244)	Data 0.073 (0.177)	Loss 2.5957 (2.5287)	Prec@1 39.453 (38.699)	Prec@5 66.406 (68.480)
Epoch: [79][1580/7045]	Time 0.102 (0.244)	Data 0.004 (0.177)	Loss 2.5001 (2.5289)	Prec@1 37.891 (38.695)	Prec@5 68.359 (68.477)
Epoch: [79][1590/7045]	Time 0.156 (0.244)	Data 0.104 (0.177)	Loss 2.4862 (2.5292)	Prec@1 38.281 (38.687)	Prec@5 69.141 (68.470)
Epoch: [79][1600/7045]	Time 0.270 (0.244)	Data 0.217 (0.177)	Loss 2.4873 (2.5290)	Prec@1 41.797 (38.692)	Prec@5 69.141 (68.481)
Epoch: [79][1610/7045]	Time 0.146 (0.244)	Data 0.094 (0.177)	Loss 2.6385 (2.5290)	Prec@1 35.547 (38.692)	Prec@5 66.016 (68.479)
Epoch: [79][1620/7045]	Time 0.430 (0.244)	Data 0.378 (0.177)	Loss 2.4370 (2.5291)	Prec@1 36.719 (38.689)	Prec@5 70.703 (68.475)
Epoch: [79][1630/7045]	Time 0.103 (0.244)	Data 0.015 (0.177)	Loss 2.3509 (2.5289)	Prec@1 39.453 (38.693)	Prec@5 69.531 (68.485)
Epoch: [79][1640/7045]	Time 0.426 (0.244)	Data 0.375 (0.177)	Loss 2.6113 (2.5291)	Prec@1 36.328 (38.694)	Prec@5 67.969 (68.482)
Epoch: [79][1650/7045]	Time 0.174 (0.244)	Data 0.122 (0.177)	Loss 2.7590 (2.5291)	Prec@1 32.422 (38.691)	Prec@5 65.234 (68.483)
Epoch: [79][1660/7045]	Time 0.413 (0.244)	Data 0.361 (0.177)	Loss 2.5846 (2.5294)	Prec@1 35.938 (38.688)	Prec@5 66.797 (68.481)
Epoch: [79][1670/7045]	Time 0.409 (0.244)	Data 0.358 (0.178)	Loss 2.5737 (2.5295)	Prec@1 33.984 (38.678)	Prec@5 63.672 (68.474)
Epoch: [79][1680/7045]	Time 0.206 (0.244)	Data 0.154 (0.177)	Loss 2.5608 (2.5295)	Prec@1 37.500 (38.678)	Prec@5 64.062 (68.471)
Epoch: [79][1690/7045]	Time 0.378 (0.244)	Data 0.325 (0.178)	Loss 2.5165 (2.5293)	Prec@1 41.016 (38.682)	Prec@5 71.484 (68.474)
Epoch: [79][1700/7045]	Time 0.103 (0.244)	Data 0.005 (0.178)	Loss 2.3612 (2.5294)	Prec@1 39.453 (38.679)	Prec@5 71.094 (68.472)
Epoch: [79][1710/7045]	Time 0.440 (0.244)	Data 0.389 (0.178)	Loss 2.5922 (2.5295)	Prec@1 37.500 (38.676)	Prec@5 66.406 (68.468)
Epoch: [79][1720/7045]	Time 0.193 (0.244)	Data 0.142 (0.178)	Loss 2.5099 (2.5297)	Prec@1 37.109 (38.672)	Prec@5 68.750 (68.459)
Epoch: [79][1730/7045]	Time 0.305 (0.244)	Data 0.253 (0.178)	Loss 2.4590 (2.5302)	Prec@1 40.625 (38.671)	Prec@5 72.266 (68.449)
Epoch: [79][1740/7045]	Time 0.333 (0.244)	Data 0.275 (0.178)	Loss 2.5571 (2.5303)	Prec@1 35.938 (38.662)	Prec@5 69.531 (68.447)
Epoch: [79][1750/7045]	Time 0.222 (0.244)	Data 0.170 (0.178)	Loss 2.5212 (2.5304)	Prec@1 35.938 (38.664)	Prec@5 69.531 (68.443)
Epoch: [79][1760/7045]	Time 0.407 (0.244)	Data 0.355 (0.178)	Loss 2.5420 (2.5307)	Prec@1 38.672 (38.667)	Prec@5 67.969 (68.438)
Epoch: [79][1770/7045]	Time 0.102 (0.244)	Data 0.004 (0.178)	Loss 2.4888 (2.5308)	Prec@1 42.188 (38.669)	Prec@5 69.141 (68.437)
Epoch: [79][1780/7045]	Time 0.254 (0.244)	Data 0.201 (0.178)	Loss 2.5076 (2.5310)	Prec@1 40.234 (38.664)	Prec@5 67.578 (68.436)
Epoch: [79][1790/7045]	Time 0.108 (0.244)	Data 0.006 (0.178)	Loss 2.6010 (2.5310)	Prec@1 37.500 (38.665)	Prec@5 64.844 (68.431)
Epoch: [79][1800/7045]	Time 0.166 (0.244)	Data 0.114 (0.178)	Loss 2.4539 (2.5308)	Prec@1 37.891 (38.669)	Prec@5 72.656 (68.438)
Epoch: [79][1810/7045]	Time 0.102 (0.244)	Data 0.001 (0.178)	Loss 2.3525 (2.5306)	Prec@1 43.750 (38.671)	Prec@5 69.922 (68.442)
Epoch: [79][1820/7045]	Time 0.102 (0.244)	Data 0.001 (0.178)	Loss 2.5368 (2.5309)	Prec@1 39.062 (38.661)	Prec@5 67.969 (68.435)
Epoch: [79][1830/7045]	Time 0.101 (0.244)	Data 0.001 (0.178)	Loss 2.5061 (2.5309)	Prec@1 35.938 (38.654)	Prec@5 70.703 (68.438)
Epoch: [79][1840/7045]	Time 0.184 (0.244)	Data 0.132 (0.178)	Loss 2.4160 (2.5309)	Prec@1 36.719 (38.652)	Prec@5 73.438 (68.441)
Epoch: [79][1850/7045]	Time 0.102 (0.244)	Data 0.006 (0.178)	Loss 2.4388 (2.5311)	Prec@1 43.750 (38.653)	Prec@5 67.578 (68.433)
Epoch: [79][1860/7045]	Time 0.487 (0.244)	Data 0.434 (0.178)	Loss 2.6643 (2.5313)	Prec@1 34.766 (38.647)	Prec@5 65.234 (68.427)
Epoch: [79][1870/7045]	Time 0.102 (0.244)	Data 0.001 (0.178)	Loss 2.5641 (2.5313)	Prec@1 38.672 (38.642)	Prec@5 67.578 (68.425)
Epoch: [79][1880/7045]	Time 0.602 (0.244)	Data 0.550 (0.178)	Loss 2.6388 (2.5314)	Prec@1 39.062 (38.643)	Prec@5 67.578 (68.426)
Epoch: [79][1890/7045]	Time 0.135 (0.244)	Data 0.083 (0.178)	Loss 2.4977 (2.5311)	Prec@1 37.500 (38.650)	Prec@5 69.531 (68.432)
Epoch: [79][1900/7045]	Time 0.546 (0.244)	Data 0.494 (0.178)	Loss 2.5232 (2.5308)	Prec@1 38.281 (38.655)	Prec@5 68.359 (68.438)
Epoch: [79][1910/7045]	Time 0.320 (0.244)	Data 0.269 (0.178)	Loss 2.5932 (2.5305)	Prec@1 39.844 (38.659)	Prec@5 67.578 (68.440)
Epoch: [79][1920/7045]	Time 0.482 (0.244)	Data 0.430 (0.178)	Loss 2.5622 (2.5302)	Prec@1 37.500 (38.662)	Prec@5 69.531 (68.448)
Epoch: [79][1930/7045]	Time 0.262 (0.244)	Data 0.211 (0.178)	Loss 2.5414 (2.5300)	Prec@1 35.156 (38.665)	Prec@5 69.531 (68.447)
Epoch: [79][1940/7045]	Time 0.278 (0.244)	Data 0.226 (0.178)	Loss 2.3862 (2.5300)	Prec@1 42.578 (38.668)	Prec@5 69.922 (68.446)
Epoch: [79][1950/7045]	Time 0.312 (0.244)	Data 0.260 (0.178)	Loss 2.3519 (2.5301)	Prec@1 42.969 (38.666)	Prec@5 70.312 (68.443)
Epoch: [79][1960/7045]	Time 0.106 (0.244)	Data 0.001 (0.178)	Loss 2.3749 (2.5299)	Prec@1 42.188 (38.673)	Prec@5 71.484 (68.446)
Epoch: [79][1970/7045]	Time 0.265 (0.244)	Data 0.214 (0.178)	Loss 2.5330 (2.5297)	Prec@1 40.234 (38.682)	Prec@5 66.797 (68.447)
Epoch: [79][1980/7045]	Time 0.244 (0.244)	Data 0.192 (0.178)	Loss 2.4957 (2.5298)	Prec@1 41.016 (38.680)	Prec@5 67.969 (68.446)
Epoch: [79][1990/7045]	Time 0.103 (0.244)	Data 0.001 (0.178)	Loss 2.4259 (2.5299)	Prec@1 45.312 (38.679)	Prec@5 71.484 (68.446)
Epoch: [79][2000/7045]	Time 0.317 (0.244)	Data 0.265 (0.178)	Loss 2.6203 (2.5302)	Prec@1 36.719 (38.673)	Prec@5 67.969 (68.440)
Epoch: [79][2010/7045]	Time 0.101 (0.244)	Data 0.046 (0.178)	Loss 2.3921 (2.5300)	Prec@1 42.188 (38.676)	Prec@5 71.875 (68.443)
Epoch: [79][2020/7045]	Time 0.307 (0.244)	Data 0.257 (0.178)	Loss 2.5669 (2.5299)	Prec@1 38.281 (38.683)	Prec@5 69.922 (68.445)
Epoch: [79][2030/7045]	Time 0.415 (0.244)	Data 0.358 (0.178)	Loss 2.5943 (2.5302)	Prec@1 38.672 (38.676)	Prec@5 71.094 (68.438)
Epoch: [79][2040/7045]	Time 0.149 (0.244)	Data 0.097 (0.178)	Loss 2.4326 (2.5306)	Prec@1 40.234 (38.668)	Prec@5 73.828 (68.427)
Epoch: [79][2050/7045]	Time 0.520 (0.244)	Data 0.469 (0.178)	Loss 2.6528 (2.5306)	Prec@1 36.719 (38.672)	Prec@5 65.625 (68.429)
Epoch: [79][2060/7045]	Time 0.101 (0.244)	Data 0.002 (0.178)	Loss 2.4078 (2.5307)	Prec@1 41.797 (38.677)	Prec@5 70.703 (68.431)
Epoch: [79][2070/7045]	Time 0.385 (0.244)	Data 0.333 (0.178)	Loss 2.5559 (2.5305)	Prec@1 38.281 (38.685)	Prec@5 73.828 (68.432)
Epoch: [79][2080/7045]	Time 0.108 (0.244)	Data 0.001 (0.178)	Loss 2.4444 (2.5305)	Prec@1 37.109 (38.685)	Prec@5 71.484 (68.437)
Epoch: [79][2090/7045]	Time 0.381 (0.244)	Data 0.329 (0.178)	Loss 2.6313 (2.5305)	Prec@1 35.938 (38.681)	Prec@5 69.531 (68.441)
Epoch: [79][2100/7045]	Time 0.108 (0.244)	Data 0.054 (0.178)	Loss 2.5672 (2.5304)	Prec@1 36.328 (38.675)	Prec@5 67.578 (68.445)
Epoch: [79][2110/7045]	Time 0.151 (0.244)	Data 0.099 (0.178)	Loss 2.4638 (2.5301)	Prec@1 35.547 (38.674)	Prec@5 71.484 (68.447)
Epoch: [79][2120/7045]	Time 0.102 (0.244)	Data 0.005 (0.178)	Loss 2.6233 (2.5302)	Prec@1 40.625 (38.672)	Prec@5 67.969 (68.448)
Epoch: [79][2130/7045]	Time 0.103 (0.244)	Data 0.001 (0.178)	Loss 2.6781 (2.5302)	Prec@1 37.109 (38.671)	Prec@5 66.406 (68.449)
Epoch: [79][2140/7045]	Time 0.102 (0.244)	Data 0.001 (0.178)	Loss 2.6326 (2.5302)	Prec@1 42.969 (38.672)	Prec@5 64.844 (68.452)
Epoch: [79][2150/7045]	Time 0.247 (0.244)	Data 0.194 (0.178)	Loss 2.5557 (2.5306)	Prec@1 38.672 (38.663)	Prec@5 69.922 (68.445)
Epoch: [79][2160/7045]	Time 0.102 (0.244)	Data 0.001 (0.178)	Loss 2.2839 (2.5304)	Prec@1 43.359 (38.669)	Prec@5 71.484 (68.446)
Epoch: [79][2170/7045]	Time 0.355 (0.244)	Data 0.303 (0.178)	Loss 2.5183 (2.5303)	Prec@1 39.453 (38.677)	Prec@5 66.797 (68.446)
Epoch: [79][2180/7045]	Time 0.105 (0.244)	Data 0.053 (0.178)	Loss 2.3026 (2.5300)	Prec@1 42.969 (38.681)	Prec@5 73.047 (68.451)
Epoch: [79][2190/7045]	Time 0.261 (0.244)	Data 0.209 (0.178)	Loss 2.7177 (2.5300)	Prec@1 33.594 (38.674)	Prec@5 64.844 (68.449)
Epoch: [79][2200/7045]	Time 0.348 (0.244)	Data 0.297 (0.178)	Loss 2.4816 (2.5300)	Prec@1 41.016 (38.676)	Prec@5 69.531 (68.448)
Epoch: [79][2210/7045]	Time 0.301 (0.244)	Data 0.249 (0.178)	Loss 2.6551 (2.5299)	Prec@1 33.594 (38.677)	Prec@5 63.281 (68.447)
Epoch: [79][2220/7045]	Time 0.466 (0.244)	Data 0.407 (0.178)	Loss 2.5005 (2.5302)	Prec@1 41.016 (38.673)	Prec@5 72.656 (68.450)
Epoch: [79][2230/7045]	Time 0.103 (0.244)	Data 0.003 (0.178)	Loss 2.6778 (2.5304)	Prec@1 41.797 (38.674)	Prec@5 65.234 (68.448)
Epoch: [79][2240/7045]	Time 0.319 (0.244)	Data 0.267 (0.178)	Loss 2.4880 (2.5304)	Prec@1 43.359 (38.675)	Prec@5 71.094 (68.451)
Epoch: [79][2250/7045]	Time 0.114 (0.244)	Data 0.062 (0.178)	Loss 2.5373 (2.5303)	Prec@1 40.234 (38.674)	Prec@5 67.578 (68.455)
Epoch: [79][2260/7045]	Time 0.311 (0.244)	Data 0.260 (0.178)	Loss 2.5694 (2.5303)	Prec@1 39.062 (38.676)	Prec@5 67.578 (68.454)
Epoch: [79][2270/7045]	Time 0.402 (0.244)	Data 0.349 (0.178)	Loss 2.3446 (2.5305)	Prec@1 40.625 (38.669)	Prec@5 72.266 (68.449)
Epoch: [79][2280/7045]	Time 0.198 (0.244)	Data 0.147 (0.178)	Loss 2.3530 (2.5305)	Prec@1 42.969 (38.670)	Prec@5 73.438 (68.448)
Epoch: [79][2290/7045]	Time 0.362 (0.244)	Data 0.310 (0.178)	Loss 2.5747 (2.5303)	Prec@1 41.016 (38.670)	Prec@5 68.750 (68.453)
Epoch: [79][2300/7045]	Time 0.102 (0.244)	Data 0.002 (0.178)	Loss 2.3265 (2.5302)	Prec@1 42.188 (38.672)	Prec@5 73.438 (68.455)
Epoch: [79][2310/7045]	Time 0.408 (0.244)	Data 0.355 (0.179)	Loss 2.5532 (2.5302)	Prec@1 38.672 (38.673)	Prec@5 68.750 (68.455)
Epoch: [79][2320/7045]	Time 0.211 (0.244)	Data 0.153 (0.179)	Loss 2.5214 (2.5304)	Prec@1 41.406 (38.672)	Prec@5 67.578 (68.454)
Epoch: [79][2330/7045]	Time 0.279 (0.244)	Data 0.227 (0.179)	Loss 2.4534 (2.5305)	Prec@1 39.844 (38.671)	Prec@5 69.141 (68.451)
Epoch: [79][2340/7045]	Time 0.272 (0.244)	Data 0.219 (0.179)	Loss 2.5493 (2.5305)	Prec@1 37.109 (38.668)	Prec@5 68.750 (68.453)
Epoch: [79][2350/7045]	Time 0.135 (0.244)	Data 0.083 (0.179)	Loss 2.6395 (2.5306)	Prec@1 33.594 (38.664)	Prec@5 65.234 (68.453)
Epoch: [79][2360/7045]	Time 0.222 (0.244)	Data 0.169 (0.179)	Loss 2.3240 (2.5300)	Prec@1 42.188 (38.673)	Prec@5 73.047 (68.460)
Epoch: [79][2370/7045]	Time 0.108 (0.244)	Data 0.002 (0.179)	Loss 2.6799 (2.5300)	Prec@1 39.062 (38.669)	Prec@5 66.406 (68.465)
Epoch: [79][2380/7045]	Time 0.188 (0.244)	Data 0.136 (0.179)	Loss 2.5378 (2.5300)	Prec@1 32.422 (38.668)	Prec@5 64.062 (68.462)
Epoch: [79][2390/7045]	Time 0.334 (0.244)	Data 0.276 (0.179)	Loss 2.4471 (2.5300)	Prec@1 41.016 (38.669)	Prec@5 71.875 (68.467)
Epoch: [79][2400/7045]	Time 0.102 (0.244)	Data 0.001 (0.179)	Loss 2.5098 (2.5299)	Prec@1 41.797 (38.671)	Prec@5 67.578 (68.468)
Epoch: [79][2410/7045]	Time 0.419 (0.244)	Data 0.360 (0.179)	Loss 2.5266 (2.5298)	Prec@1 37.891 (38.672)	Prec@5 68.359 (68.467)
Epoch: [79][2420/7045]	Time 0.109 (0.244)	Data 0.058 (0.179)	Loss 2.5884 (2.5300)	Prec@1 37.500 (38.673)	Prec@5 64.844 (68.461)
Epoch: [79][2430/7045]	Time 0.384 (0.244)	Data 0.332 (0.179)	Loss 2.3840 (2.5301)	Prec@1 37.500 (38.672)	Prec@5 73.828 (68.455)
Epoch: [79][2440/7045]	Time 0.111 (0.244)	Data 0.058 (0.179)	Loss 2.4537 (2.5300)	Prec@1 39.453 (38.673)	Prec@5 70.703 (68.457)
Epoch: [79][2450/7045]	Time 0.434 (0.244)	Data 0.376 (0.179)	Loss 2.2225 (2.5300)	Prec@1 46.875 (38.676)	Prec@5 73.828 (68.460)
Epoch: [79][2460/7045]	Time 0.109 (0.244)	Data 0.055 (0.179)	Loss 2.6176 (2.5300)	Prec@1 33.984 (38.674)	Prec@5 67.969 (68.460)
Epoch: [79][2470/7045]	Time 0.413 (0.244)	Data 0.360 (0.179)	Loss 2.5927 (2.5299)	Prec@1 34.375 (38.672)	Prec@5 68.359 (68.463)
Epoch: [79][2480/7045]	Time 0.100 (0.244)	Data 0.006 (0.179)	Loss 2.6235 (2.5301)	Prec@1 36.719 (38.673)	Prec@5 67.188 (68.462)
Epoch: [79][2490/7045]	Time 0.420 (0.244)	Data 0.368 (0.179)	Loss 2.3688 (2.5299)	Prec@1 41.797 (38.678)	Prec@5 71.875 (68.464)
Epoch: [79][2500/7045]	Time 0.102 (0.244)	Data 0.001 (0.179)	Loss 2.5811 (2.5299)	Prec@1 37.891 (38.681)	Prec@5 66.406 (68.466)
Epoch: [79][2510/7045]	Time 0.396 (0.244)	Data 0.344 (0.179)	Loss 2.4756 (2.5299)	Prec@1 41.406 (38.681)	Prec@5 69.531 (68.465)
Epoch: [79][2520/7045]	Time 0.102 (0.244)	Data 0.046 (0.179)	Loss 2.6681 (2.5300)	Prec@1 35.156 (38.676)	Prec@5 65.625 (68.465)
Epoch: [79][2530/7045]	Time 0.430 (0.244)	Data 0.378 (0.179)	Loss 2.5830 (2.5300)	Prec@1 40.234 (38.677)	Prec@5 65.625 (68.464)
Epoch: [79][2540/7045]	Time 0.101 (0.244)	Data 0.006 (0.179)	Loss 2.6585 (2.5303)	Prec@1 33.594 (38.668)	Prec@5 67.578 (68.461)
Epoch: [79][2550/7045]	Time 0.467 (0.244)	Data 0.414 (0.179)	Loss 2.2789 (2.5302)	Prec@1 45.703 (38.670)	Prec@5 73.047 (68.463)
Epoch: [79][2560/7045]	Time 0.102 (0.244)	Data 0.004 (0.179)	Loss 2.4745 (2.5301)	Prec@1 39.844 (38.673)	Prec@5 72.266 (68.467)
Epoch: [79][2570/7045]	Time 0.377 (0.244)	Data 0.325 (0.179)	Loss 2.4336 (2.5300)	Prec@1 41.016 (38.674)	Prec@5 68.750 (68.473)
Epoch: [79][2580/7045]	Time 0.100 (0.244)	Data 0.001 (0.179)	Loss 2.5627 (2.5301)	Prec@1 41.406 (38.675)	Prec@5 68.750 (68.469)
Epoch: [79][2590/7045]	Time 0.440 (0.244)	Data 0.388 (0.179)	Loss 2.3609 (2.5299)	Prec@1 42.188 (38.675)	Prec@5 75.391 (68.474)
Epoch: [79][2600/7045]	Time 0.100 (0.244)	Data 0.001 (0.179)	Loss 2.4576 (2.5298)	Prec@1 35.547 (38.678)	Prec@5 71.875 (68.480)
Epoch: [79][2610/7045]	Time 0.448 (0.244)	Data 0.397 (0.179)	Loss 2.4605 (2.5298)	Prec@1 37.891 (38.678)	Prec@5 71.875 (68.480)
Epoch: [79][2620/7045]	Time 0.108 (0.244)	Data 0.055 (0.179)	Loss 2.6073 (2.5299)	Prec@1 39.453 (38.671)	Prec@5 67.188 (68.479)
Epoch: [79][2630/7045]	Time 0.453 (0.244)	Data 0.401 (0.179)	Loss 2.3397 (2.5297)	Prec@1 44.531 (38.673)	Prec@5 74.609 (68.489)
Epoch: [79][2640/7045]	Time 0.101 (0.244)	Data 0.007 (0.179)	Loss 2.5630 (2.5296)	Prec@1 37.891 (38.675)	Prec@5 67.188 (68.491)
Epoch: [79][2650/7045]	Time 0.409 (0.244)	Data 0.358 (0.179)	Loss 2.4286 (2.5294)	Prec@1 39.453 (38.683)	Prec@5 70.703 (68.493)
Epoch: [79][2660/7045]	Time 0.107 (0.244)	Data 0.055 (0.179)	Loss 2.6060 (2.5292)	Prec@1 35.156 (38.686)	Prec@5 65.234 (68.490)
Epoch: [79][2670/7045]	Time 0.353 (0.244)	Data 0.300 (0.179)	Loss 2.4963 (2.5290)	Prec@1 39.062 (38.695)	Prec@5 67.188 (68.490)
Epoch: [79][2680/7045]	Time 0.107 (0.244)	Data 0.054 (0.179)	Loss 2.4474 (2.5289)	Prec@1 40.234 (38.693)	Prec@5 73.047 (68.493)
Epoch: [79][2690/7045]	Time 0.373 (0.244)	Data 0.320 (0.179)	Loss 2.4935 (2.5287)	Prec@1 37.500 (38.697)	Prec@5 67.188 (68.495)
Epoch: [79][2700/7045]	Time 0.102 (0.244)	Data 0.003 (0.179)	Loss 2.6020 (2.5288)	Prec@1 39.844 (38.693)	Prec@5 68.750 (68.492)
Epoch: [79][2710/7045]	Time 0.351 (0.244)	Data 0.298 (0.179)	Loss 2.6837 (2.5293)	Prec@1 32.031 (38.680)	Prec@5 66.797 (68.484)
Epoch: [79][2720/7045]	Time 0.147 (0.244)	Data 0.094 (0.179)	Loss 2.8629 (2.5297)	Prec@1 36.328 (38.677)	Prec@5 63.281 (68.476)
Epoch: [79][2730/7045]	Time 0.432 (0.244)	Data 0.381 (0.179)	Loss 2.7222 (2.5298)	Prec@1 32.422 (38.672)	Prec@5 62.109 (68.471)
Epoch: [79][2740/7045]	Time 0.146 (0.244)	Data 0.094 (0.179)	Loss 2.6317 (2.5298)	Prec@1 37.500 (38.678)	Prec@5 64.062 (68.472)
Epoch: [79][2750/7045]	Time 0.429 (0.244)	Data 0.377 (0.179)	Loss 2.4317 (2.5297)	Prec@1 40.234 (38.677)	Prec@5 70.312 (68.475)
Epoch: [79][2760/7045]	Time 0.232 (0.244)	Data 0.179 (0.179)	Loss 2.3462 (2.5297)	Prec@1 43.750 (38.676)	Prec@5 70.312 (68.474)
Epoch: [79][2770/7045]	Time 0.434 (0.244)	Data 0.383 (0.179)	Loss 2.3332 (2.5298)	Prec@1 43.750 (38.674)	Prec@5 73.047 (68.469)
Epoch: [79][2780/7045]	Time 0.249 (0.244)	Data 0.198 (0.179)	Loss 2.3261 (2.5298)	Prec@1 46.094 (38.680)	Prec@5 73.438 (68.470)
Epoch: [79][2790/7045]	Time 0.484 (0.244)	Data 0.432 (0.179)	Loss 2.4165 (2.5297)	Prec@1 41.016 (38.679)	Prec@5 70.312 (68.471)
Epoch: [79][2800/7045]	Time 0.269 (0.243)	Data 0.211 (0.179)	Loss 2.5542 (2.5297)	Prec@1 37.891 (38.684)	Prec@5 64.844 (68.469)
Epoch: [79][2810/7045]	Time 0.430 (0.243)	Data 0.378 (0.179)	Loss 2.5660 (2.5295)	Prec@1 38.672 (38.685)	Prec@5 66.016 (68.472)
Epoch: [79][2820/7045]	Time 0.280 (0.243)	Data 0.228 (0.179)	Loss 2.3825 (2.5294)	Prec@1 40.625 (38.693)	Prec@5 71.875 (68.474)
Epoch: [79][2830/7045]	Time 0.460 (0.243)	Data 0.408 (0.179)	Loss 2.5133 (2.5294)	Prec@1 40.234 (38.693)	Prec@5 69.531 (68.475)
Epoch: [79][2840/7045]	Time 0.271 (0.243)	Data 0.220 (0.179)	Loss 2.4603 (2.5295)	Prec@1 37.109 (38.687)	Prec@5 69.141 (68.473)
Epoch: [79][2850/7045]	Time 0.526 (0.243)	Data 0.466 (0.179)	Loss 2.5331 (2.5294)	Prec@1 37.500 (38.687)	Prec@5 67.188 (68.475)
Epoch: [79][2860/7045]	Time 0.207 (0.243)	Data 0.156 (0.179)	Loss 2.5248 (2.5290)	Prec@1 38.672 (38.692)	Prec@5 66.016 (68.482)
Epoch: [79][2870/7045]	Time 0.564 (0.243)	Data 0.505 (0.179)	Loss 2.6863 (2.5290)	Prec@1 31.641 (38.687)	Prec@5 68.359 (68.480)
Epoch: [79][2880/7045]	Time 0.246 (0.243)	Data 0.194 (0.179)	Loss 2.4035 (2.5290)	Prec@1 42.578 (38.689)	Prec@5 72.266 (68.478)
Epoch: [79][2890/7045]	Time 0.501 (0.243)	Data 0.450 (0.179)	Loss 2.4365 (2.5292)	Prec@1 41.797 (38.690)	Prec@5 72.266 (68.477)
Epoch: [79][2900/7045]	Time 0.287 (0.243)	Data 0.236 (0.179)	Loss 2.5092 (2.5293)	Prec@1 41.016 (38.689)	Prec@5 68.359 (68.479)
Epoch: [79][2910/7045]	Time 0.498 (0.243)	Data 0.448 (0.179)	Loss 2.6337 (2.5294)	Prec@1 33.594 (38.689)	Prec@5 68.750 (68.476)
Epoch: [79][2920/7045]	Time 0.274 (0.243)	Data 0.222 (0.179)	Loss 2.4086 (2.5294)	Prec@1 41.797 (38.691)	Prec@5 73.438 (68.477)
Epoch: [79][2930/7045]	Time 0.462 (0.243)	Data 0.411 (0.179)	Loss 2.3786 (2.5292)	Prec@1 43.359 (38.696)	Prec@5 69.531 (68.482)
Epoch: [79][2940/7045]	Time 0.374 (0.243)	Data 0.322 (0.179)	Loss 2.7369 (2.5294)	Prec@1 37.891 (38.692)	Prec@5 61.719 (68.478)
Epoch: [79][2950/7045]	Time 0.410 (0.243)	Data 0.359 (0.179)	Loss 2.5743 (2.5295)	Prec@1 35.156 (38.688)	Prec@5 69.141 (68.475)
Epoch: [79][2960/7045]	Time 0.336 (0.243)	Data 0.283 (0.179)	Loss 2.6642 (2.5295)	Prec@1 35.156 (38.681)	Prec@5 65.234 (68.476)
Epoch: [79][2970/7045]	Time 0.448 (0.243)	Data 0.389 (0.179)	Loss 2.5761 (2.5295)	Prec@1 35.547 (38.680)	Prec@5 68.750 (68.474)
Epoch: [79][2980/7045]	Time 0.320 (0.243)	Data 0.263 (0.179)	Loss 2.5446 (2.5295)	Prec@1 38.672 (38.683)	Prec@5 71.094 (68.478)
Epoch: [79][2990/7045]	Time 0.383 (0.243)	Data 0.330 (0.179)	Loss 2.4372 (2.5294)	Prec@1 39.453 (38.685)	Prec@5 66.797 (68.480)
Epoch: [79][3000/7045]	Time 0.341 (0.243)	Data 0.289 (0.179)	Loss 2.2814 (2.5293)	Prec@1 41.797 (38.691)	Prec@5 70.703 (68.478)
Epoch: [79][3010/7045]	Time 0.377 (0.243)	Data 0.324 (0.179)	Loss 2.6405 (2.5292)	Prec@1 34.375 (38.692)	Prec@5 70.312 (68.481)
Epoch: [79][3020/7045]	Time 0.327 (0.243)	Data 0.269 (0.179)	Loss 2.5336 (2.5294)	Prec@1 34.766 (38.686)	Prec@5 69.141 (68.475)
Epoch: [79][3030/7045]	Time 0.382 (0.243)	Data 0.330 (0.179)	Loss 2.6600 (2.5294)	Prec@1 37.500 (38.685)	Prec@5 61.328 (68.474)
Epoch: [79][3040/7045]	Time 0.384 (0.243)	Data 0.326 (0.179)	Loss 2.6707 (2.5294)	Prec@1 33.594 (38.688)	Prec@5 63.672 (68.474)
Epoch: [79][3050/7045]	Time 0.321 (0.243)	Data 0.270 (0.179)	Loss 2.5191 (2.5295)	Prec@1 38.672 (38.684)	Prec@5 67.188 (68.472)
Epoch: [79][3060/7045]	Time 0.396 (0.243)	Data 0.344 (0.179)	Loss 2.3773 (2.5296)	Prec@1 41.797 (38.682)	Prec@5 69.141 (68.474)
Epoch: [79][3070/7045]	Time 0.270 (0.243)	Data 0.219 (0.179)	Loss 2.6903 (2.5295)	Prec@1 36.328 (38.684)	Prec@5 64.844 (68.476)
Epoch: [79][3080/7045]	Time 0.486 (0.243)	Data 0.435 (0.179)	Loss 2.6436 (2.5296)	Prec@1 37.500 (38.681)	Prec@5 68.359 (68.476)
Epoch: [79][3090/7045]	Time 0.415 (0.243)	Data 0.357 (0.179)	Loss 2.6163 (2.5296)	Prec@1 38.281 (38.680)	Prec@5 65.625 (68.476)
Epoch: [79][3100/7045]	Time 0.473 (0.243)	Data 0.421 (0.179)	Loss 2.3633 (2.5296)	Prec@1 42.578 (38.681)	Prec@5 73.047 (68.475)
Epoch: [79][3110/7045]	Time 0.321 (0.243)	Data 0.263 (0.179)	Loss 2.6029 (2.5295)	Prec@1 39.844 (38.689)	Prec@5 71.875 (68.482)
Epoch: [79][3120/7045]	Time 0.440 (0.243)	Data 0.381 (0.179)	Loss 2.5493 (2.5294)	Prec@1 41.406 (38.690)	Prec@5 69.141 (68.483)
Epoch: [79][3130/7045]	Time 0.302 (0.243)	Data 0.250 (0.179)	Loss 2.4480 (2.5293)	Prec@1 36.719 (38.691)	Prec@5 70.312 (68.488)
Epoch: [79][3140/7045]	Time 0.433 (0.243)	Data 0.381 (0.179)	Loss 2.5109 (2.5292)	Prec@1 37.891 (38.694)	Prec@5 72.656 (68.490)
Epoch: [79][3150/7045]	Time 0.331 (0.243)	Data 0.279 (0.179)	Loss 2.5942 (2.5293)	Prec@1 36.719 (38.690)	Prec@5 65.234 (68.486)
Epoch: [79][3160/7045]	Time 0.391 (0.243)	Data 0.332 (0.179)	Loss 2.7750 (2.5293)	Prec@1 32.422 (38.693)	Prec@5 62.109 (68.487)
Epoch: [79][3170/7045]	Time 0.270 (0.243)	Data 0.218 (0.179)	Loss 2.4329 (2.5294)	Prec@1 39.844 (38.691)	Prec@5 70.312 (68.484)
Epoch: [79][3180/7045]	Time 0.321 (0.243)	Data 0.269 (0.179)	Loss 2.6150 (2.5292)	Prec@1 38.672 (38.698)	Prec@5 69.531 (68.486)
Epoch: [79][3190/7045]	Time 0.319 (0.243)	Data 0.269 (0.179)	Loss 2.5240 (2.5293)	Prec@1 39.844 (38.699)	Prec@5 66.016 (68.484)
Epoch: [79][3200/7045]	Time 0.204 (0.243)	Data 0.152 (0.179)	Loss 2.6691 (2.5295)	Prec@1 36.328 (38.692)	Prec@5 65.625 (68.480)
Epoch: [79][3210/7045]	Time 0.408 (0.243)	Data 0.356 (0.179)	Loss 2.5380 (2.5296)	Prec@1 36.328 (38.690)	Prec@5 70.312 (68.479)
Epoch: [79][3220/7045]	Time 0.128 (0.243)	Data 0.076 (0.179)	Loss 2.5313 (2.5297)	Prec@1 38.281 (38.687)	Prec@5 67.969 (68.478)
Epoch: [79][3230/7045]	Time 0.369 (0.243)	Data 0.316 (0.179)	Loss 2.5415 (2.5297)	Prec@1 35.547 (38.686)	Prec@5 69.141 (68.479)
Epoch: [79][3240/7045]	Time 0.123 (0.243)	Data 0.071 (0.179)	Loss 2.3859 (2.5299)	Prec@1 41.016 (38.684)	Prec@5 70.703 (68.478)
Epoch: [79][3250/7045]	Time 0.256 (0.243)	Data 0.204 (0.179)	Loss 2.6826 (2.5299)	Prec@1 35.938 (38.684)	Prec@5 67.969 (68.478)
Epoch: [79][3260/7045]	Time 0.107 (0.243)	Data 0.054 (0.179)	Loss 2.5059 (2.5300)	Prec@1 41.406 (38.682)	Prec@5 67.188 (68.474)
Epoch: [79][3270/7045]	Time 0.142 (0.243)	Data 0.089 (0.179)	Loss 2.3176 (2.5299)	Prec@1 42.578 (38.686)	Prec@5 72.266 (68.479)
Epoch: [79][3280/7045]	Time 0.107 (0.243)	Data 0.054 (0.179)	Loss 2.4188 (2.5299)	Prec@1 39.062 (38.686)	Prec@5 71.484 (68.477)
Epoch: [79][3290/7045]	Time 0.185 (0.243)	Data 0.134 (0.179)	Loss 2.5415 (2.5298)	Prec@1 35.938 (38.684)	Prec@5 67.578 (68.480)
Epoch: [79][3300/7045]	Time 0.162 (0.243)	Data 0.103 (0.179)	Loss 2.4448 (2.5297)	Prec@1 41.406 (38.685)	Prec@5 71.875 (68.485)
Epoch: [79][3310/7045]	Time 0.148 (0.243)	Data 0.096 (0.179)	Loss 2.4375 (2.5299)	Prec@1 43.359 (38.683)	Prec@5 70.703 (68.481)
Epoch: [79][3320/7045]	Time 0.152 (0.243)	Data 0.101 (0.179)	Loss 2.7144 (2.5301)	Prec@1 36.328 (38.680)	Prec@5 63.672 (68.476)
Epoch: [79][3330/7045]	Time 0.102 (0.243)	Data 0.004 (0.179)	Loss 2.3749 (2.5303)	Prec@1 41.016 (38.674)	Prec@5 71.094 (68.471)
Epoch: [79][3340/7045]	Time 0.180 (0.243)	Data 0.129 (0.179)	Loss 2.5568 (2.5305)	Prec@1 34.375 (38.669)	Prec@5 67.188 (68.466)
Epoch: [79][3350/7045]	Time 0.107 (0.243)	Data 0.054 (0.179)	Loss 2.3665 (2.5306)	Prec@1 41.797 (38.668)	Prec@5 69.531 (68.466)
Epoch: [79][3360/7045]	Time 0.206 (0.243)	Data 0.154 (0.179)	Loss 2.5344 (2.5307)	Prec@1 38.672 (38.667)	Prec@5 66.406 (68.463)
Epoch: [79][3370/7045]	Time 0.107 (0.243)	Data 0.054 (0.179)	Loss 2.7186 (2.5307)	Prec@1 32.031 (38.664)	Prec@5 65.625 (68.463)
Epoch: [79][3380/7045]	Time 0.158 (0.243)	Data 0.106 (0.179)	Loss 2.4488 (2.5306)	Prec@1 41.797 (38.667)	Prec@5 71.094 (68.466)
Epoch: [79][3390/7045]	Time 0.107 (0.243)	Data 0.054 (0.179)	Loss 2.4472 (2.5305)	Prec@1 44.141 (38.668)	Prec@5 67.578 (68.464)
Epoch: [79][3400/7045]	Time 0.108 (0.243)	Data 0.055 (0.179)	Loss 2.4201 (2.5303)	Prec@1 41.016 (38.671)	Prec@5 67.188 (68.466)
Epoch: [79][3410/7045]	Time 0.121 (0.243)	Data 0.068 (0.179)	Loss 2.5442 (2.5301)	Prec@1 37.109 (38.671)	Prec@5 68.750 (68.466)
Epoch: [79][3420/7045]	Time 0.155 (0.243)	Data 0.100 (0.179)	Loss 2.5377 (2.5301)	Prec@1 36.719 (38.670)	Prec@5 68.359 (68.469)
Epoch: [79][3430/7045]	Time 0.165 (0.243)	Data 0.113 (0.179)	Loss 2.5727 (2.5301)	Prec@1 37.500 (38.672)	Prec@5 66.797 (68.473)
Epoch: [79][3440/7045]	Time 0.107 (0.243)	Data 0.055 (0.179)	Loss 2.5083 (2.5302)	Prec@1 38.672 (38.669)	Prec@5 67.578 (68.473)
Epoch: [79][3450/7045]	Time 0.116 (0.243)	Data 0.064 (0.179)	Loss 2.5559 (2.5301)	Prec@1 40.625 (38.673)	Prec@5 69.922 (68.474)
Epoch: [79][3460/7045]	Time 0.127 (0.243)	Data 0.074 (0.179)	Loss 2.7404 (2.5302)	Prec@1 34.766 (38.667)	Prec@5 64.844 (68.471)
Epoch: [79][3470/7045]	Time 0.102 (0.243)	Data 0.003 (0.179)	Loss 2.3354 (2.5302)	Prec@1 40.234 (38.668)	Prec@5 71.094 (68.471)
Epoch: [79][3480/7045]	Time 0.160 (0.243)	Data 0.107 (0.179)	Loss 2.7651 (2.5301)	Prec@1 36.328 (38.673)	Prec@5 64.844 (68.472)
Epoch: [79][3490/7045]	Time 0.102 (0.243)	Data 0.005 (0.179)	Loss 2.5903 (2.5301)	Prec@1 41.016 (38.674)	Prec@5 66.406 (68.473)
Epoch: [79][3500/7045]	Time 0.130 (0.243)	Data 0.078 (0.179)	Loss 2.2952 (2.5300)	Prec@1 41.797 (38.679)	Prec@5 75.781 (68.476)
Epoch: [79][3510/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 2.4384 (2.5301)	Prec@1 41.797 (38.675)	Prec@5 67.578 (68.474)
Epoch: [79][3520/7045]	Time 0.117 (0.243)	Data 0.065 (0.179)	Loss 2.5098 (2.5301)	Prec@1 38.672 (38.676)	Prec@5 71.484 (68.473)
Epoch: [79][3530/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 2.7027 (2.5300)	Prec@1 35.156 (38.675)	Prec@5 64.844 (68.476)
Epoch: [79][3540/7045]	Time 0.138 (0.243)	Data 0.085 (0.179)	Loss 2.5731 (2.5302)	Prec@1 34.766 (38.670)	Prec@5 67.969 (68.473)
Epoch: [79][3550/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 2.5575 (2.5303)	Prec@1 36.328 (38.666)	Prec@5 72.266 (68.471)
Epoch: [79][3560/7045]	Time 0.186 (0.243)	Data 0.128 (0.179)	Loss 2.5109 (2.5306)	Prec@1 39.844 (38.663)	Prec@5 73.438 (68.466)
Epoch: [79][3570/7045]	Time 0.102 (0.243)	Data 0.003 (0.179)	Loss 2.4062 (2.5306)	Prec@1 40.625 (38.664)	Prec@5 73.438 (68.465)
Epoch: [79][3580/7045]	Time 0.209 (0.243)	Data 0.152 (0.179)	Loss 2.5533 (2.5306)	Prec@1 41.406 (38.663)	Prec@5 69.531 (68.466)
Epoch: [79][3590/7045]	Time 0.103 (0.243)	Data 0.050 (0.179)	Loss 2.5128 (2.5307)	Prec@1 33.984 (38.660)	Prec@5 72.656 (68.465)
Epoch: [79][3600/7045]	Time 0.296 (0.243)	Data 0.244 (0.179)	Loss 2.6153 (2.5307)	Prec@1 35.547 (38.658)	Prec@5 67.969 (68.464)
Epoch: [79][3610/7045]	Time 0.105 (0.243)	Data 0.051 (0.179)	Loss 2.5493 (2.5306)	Prec@1 42.969 (38.662)	Prec@5 69.531 (68.467)
Epoch: [79][3620/7045]	Time 0.261 (0.243)	Data 0.210 (0.179)	Loss 2.5396 (2.5308)	Prec@1 40.234 (38.661)	Prec@5 67.578 (68.460)
Epoch: [79][3630/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 2.5636 (2.5309)	Prec@1 35.938 (38.661)	Prec@5 67.578 (68.460)
Epoch: [79][3640/7045]	Time 0.283 (0.243)	Data 0.232 (0.179)	Loss 2.4818 (2.5309)	Prec@1 39.062 (38.661)	Prec@5 67.578 (68.460)
Epoch: [79][3650/7045]	Time 0.103 (0.243)	Data 0.001 (0.179)	Loss 2.5644 (2.5310)	Prec@1 36.719 (38.660)	Prec@5 71.484 (68.458)
Epoch: [79][3660/7045]	Time 0.303 (0.243)	Data 0.252 (0.179)	Loss 2.5782 (2.5309)	Prec@1 37.891 (38.661)	Prec@5 67.578 (68.460)
Epoch: [79][3670/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 2.4995 (2.5309)	Prec@1 40.625 (38.663)	Prec@5 69.141 (68.460)
Epoch: [79][3680/7045]	Time 0.237 (0.243)	Data 0.185 (0.179)	Loss 2.6624 (2.5309)	Prec@1 37.109 (38.662)	Prec@5 65.625 (68.455)
Epoch: [79][3690/7045]	Time 0.103 (0.243)	Data 0.001 (0.179)	Loss 2.5072 (2.5310)	Prec@1 40.234 (38.669)	Prec@5 71.094 (68.455)
Epoch: [79][3700/7045]	Time 0.352 (0.243)	Data 0.300 (0.179)	Loss 2.5123 (2.5309)	Prec@1 37.891 (38.669)	Prec@5 69.141 (68.457)
Epoch: [79][3710/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 2.3860 (2.5309)	Prec@1 40.234 (38.669)	Prec@5 72.656 (68.458)
Epoch: [79][3720/7045]	Time 0.256 (0.243)	Data 0.203 (0.179)	Loss 2.4482 (2.5308)	Prec@1 44.141 (38.672)	Prec@5 71.484 (68.459)
Epoch: [79][3730/7045]	Time 0.103 (0.243)	Data 0.001 (0.179)	Loss 2.7338 (2.5309)	Prec@1 35.938 (38.671)	Prec@5 65.234 (68.458)
Epoch: [79][3740/7045]	Time 0.230 (0.243)	Data 0.170 (0.179)	Loss 2.5948 (2.5310)	Prec@1 36.719 (38.671)	Prec@5 65.625 (68.456)
Epoch: [79][3750/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 2.4615 (2.5310)	Prec@1 39.844 (38.666)	Prec@5 70.703 (68.456)
Epoch: [79][3760/7045]	Time 0.212 (0.243)	Data 0.152 (0.179)	Loss 2.5534 (2.5311)	Prec@1 42.578 (38.665)	Prec@5 68.359 (68.454)
Epoch: [79][3770/7045]	Time 0.102 (0.243)	Data 0.005 (0.179)	Loss 2.4059 (2.5313)	Prec@1 40.234 (38.662)	Prec@5 72.656 (68.449)
Epoch: [79][3780/7045]	Time 0.219 (0.243)	Data 0.166 (0.179)	Loss 2.4862 (2.5313)	Prec@1 39.844 (38.662)	Prec@5 69.531 (68.448)
Epoch: [79][3790/7045]	Time 0.101 (0.243)	Data 0.004 (0.179)	Loss 2.5425 (2.5312)	Prec@1 40.234 (38.663)	Prec@5 69.141 (68.452)
Epoch: [79][3800/7045]	Time 0.199 (0.243)	Data 0.147 (0.179)	Loss 2.4833 (2.5312)	Prec@1 35.938 (38.662)	Prec@5 69.531 (68.453)
Epoch: [79][3810/7045]	Time 0.102 (0.243)	Data 0.006 (0.179)	Loss 2.6266 (2.5311)	Prec@1 37.500 (38.665)	Prec@5 71.875 (68.458)
Epoch: [79][3820/7045]	Time 0.254 (0.243)	Data 0.202 (0.179)	Loss 2.6677 (2.5311)	Prec@1 37.109 (38.665)	Prec@5 66.016 (68.457)
Epoch: [79][3830/7045]	Time 0.106 (0.243)	Data 0.053 (0.179)	Loss 2.4624 (2.5310)	Prec@1 39.844 (38.664)	Prec@5 69.531 (68.459)
Epoch: [79][3840/7045]	Time 0.230 (0.243)	Data 0.179 (0.179)	Loss 2.5435 (2.5309)	Prec@1 41.016 (38.670)	Prec@5 65.625 (68.463)
Epoch: [79][3850/7045]	Time 0.103 (0.243)	Data 0.050 (0.179)	Loss 2.4421 (2.5310)	Prec@1 42.969 (38.665)	Prec@5 69.531 (68.460)
Epoch: [79][3860/7045]	Time 0.158 (0.243)	Data 0.106 (0.179)	Loss 2.4065 (2.5311)	Prec@1 41.406 (38.666)	Prec@5 69.531 (68.459)
Epoch: [79][3870/7045]	Time 0.102 (0.243)	Data 0.002 (0.179)	Loss 2.7335 (2.5311)	Prec@1 35.547 (38.668)	Prec@5 65.234 (68.461)
Epoch: [79][3880/7045]	Time 0.100 (0.243)	Data 0.003 (0.179)	Loss 2.4311 (2.5310)	Prec@1 41.406 (38.667)	Prec@5 70.703 (68.463)
Epoch: [79][3890/7045]	Time 0.101 (0.243)	Data 0.046 (0.179)	Loss 2.4630 (2.5311)	Prec@1 41.016 (38.666)	Prec@5 70.312 (68.461)
Epoch: [79][3900/7045]	Time 0.102 (0.243)	Data 0.002 (0.179)	Loss 2.3407 (2.5311)	Prec@1 41.797 (38.664)	Prec@5 73.438 (68.462)
Epoch: [79][3910/7045]	Time 0.101 (0.243)	Data 0.047 (0.178)	Loss 2.3925 (2.5311)	Prec@1 39.453 (38.666)	Prec@5 72.266 (68.464)
Epoch: [79][3920/7045]	Time 0.103 (0.243)	Data 0.047 (0.179)	Loss 2.3397 (2.5310)	Prec@1 41.797 (38.667)	Prec@5 74.219 (68.463)
Epoch: [79][3930/7045]	Time 0.108 (0.243)	Data 0.056 (0.179)	Loss 2.6062 (2.5310)	Prec@1 41.016 (38.671)	Prec@5 65.234 (68.463)
Epoch: [79][3940/7045]	Time 0.102 (0.243)	Data 0.006 (0.179)	Loss 2.1693 (2.5310)	Prec@1 45.312 (38.669)	Prec@5 73.047 (68.464)
Epoch: [79][3950/7045]	Time 0.108 (0.243)	Data 0.055 (0.179)	Loss 2.4873 (2.5308)	Prec@1 36.719 (38.672)	Prec@5 69.922 (68.464)
Epoch: [79][3960/7045]	Time 0.289 (0.243)	Data 0.238 (0.179)	Loss 2.4682 (2.5307)	Prec@1 40.625 (38.675)	Prec@5 71.875 (68.465)
Epoch: [79][3970/7045]	Time 0.102 (0.243)	Data 0.049 (0.179)	Loss 2.3719 (2.5308)	Prec@1 42.969 (38.675)	Prec@5 72.266 (68.462)
Epoch: [79][3980/7045]	Time 0.317 (0.243)	Data 0.265 (0.179)	Loss 2.4950 (2.5308)	Prec@1 41.016 (38.674)	Prec@5 68.359 (68.463)
Epoch: [79][3990/7045]	Time 0.124 (0.243)	Data 0.072 (0.179)	Loss 2.3778 (2.5308)	Prec@1 41.016 (38.674)	Prec@5 71.094 (68.465)
Epoch: [79][4000/7045]	Time 0.251 (0.243)	Data 0.200 (0.179)	Loss 2.6532 (2.5308)	Prec@1 34.766 (38.674)	Prec@5 62.500 (68.463)
Epoch: [79][4010/7045]	Time 0.148 (0.243)	Data 0.095 (0.179)	Loss 2.3855 (2.5308)	Prec@1 42.969 (38.675)	Prec@5 73.047 (68.466)
Epoch: [79][4020/7045]	Time 0.266 (0.243)	Data 0.215 (0.179)	Loss 2.3504 (2.5307)	Prec@1 39.453 (38.676)	Prec@5 72.656 (68.469)
Epoch: [79][4030/7045]	Time 0.110 (0.243)	Data 0.058 (0.179)	Loss 2.4749 (2.5308)	Prec@1 39.844 (38.674)	Prec@5 70.312 (68.469)
Epoch: [79][4040/7045]	Time 0.201 (0.243)	Data 0.150 (0.179)	Loss 2.6779 (2.5309)	Prec@1 33.203 (38.674)	Prec@5 64.453 (68.467)
Epoch: [79][4050/7045]	Time 0.111 (0.243)	Data 0.058 (0.179)	Loss 2.5147 (2.5311)	Prec@1 38.672 (38.669)	Prec@5 67.969 (68.462)
Epoch: [79][4060/7045]	Time 0.110 (0.243)	Data 0.057 (0.179)	Loss 2.5861 (2.5311)	Prec@1 37.109 (38.671)	Prec@5 69.141 (68.465)
Epoch: [79][4070/7045]	Time 0.165 (0.243)	Data 0.112 (0.179)	Loss 2.5891 (2.5310)	Prec@1 39.062 (38.673)	Prec@5 70.312 (68.468)
Epoch: [79][4080/7045]	Time 0.109 (0.243)	Data 0.006 (0.179)	Loss 2.5434 (2.5310)	Prec@1 37.109 (38.675)	Prec@5 67.578 (68.468)
Epoch: [79][4090/7045]	Time 0.107 (0.243)	Data 0.054 (0.179)	Loss 2.5870 (2.5310)	Prec@1 35.156 (38.674)	Prec@5 67.969 (68.469)
Epoch: [79][4100/7045]	Time 0.338 (0.243)	Data 0.279 (0.179)	Loss 2.5916 (2.5309)	Prec@1 43.359 (38.678)	Prec@5 66.797 (68.470)
Epoch: [79][4110/7045]	Time 0.187 (0.243)	Data 0.135 (0.179)	Loss 2.4081 (2.5308)	Prec@1 39.453 (38.677)	Prec@5 71.094 (68.471)
Epoch: [79][4120/7045]	Time 0.384 (0.243)	Data 0.326 (0.179)	Loss 2.4320 (2.5309)	Prec@1 43.750 (38.677)	Prec@5 68.750 (68.469)
Epoch: [79][4130/7045]	Time 0.436 (0.243)	Data 0.385 (0.179)	Loss 2.4437 (2.5310)	Prec@1 39.453 (38.676)	Prec@5 68.750 (68.467)
Epoch: [79][4140/7045]	Time 0.380 (0.243)	Data 0.328 (0.179)	Loss 2.4915 (2.5309)	Prec@1 38.281 (38.677)	Prec@5 68.359 (68.466)
Epoch: [79][4150/7045]	Time 0.359 (0.243)	Data 0.307 (0.179)	Loss 2.5889 (2.5309)	Prec@1 38.672 (38.677)	Prec@5 67.188 (68.467)
Epoch: [79][4160/7045]	Time 0.215 (0.243)	Data 0.156 (0.179)	Loss 2.6777 (2.5310)	Prec@1 33.984 (38.676)	Prec@5 64.062 (68.465)
Epoch: [79][4170/7045]	Time 0.364 (0.243)	Data 0.313 (0.179)	Loss 2.5605 (2.5308)	Prec@1 37.109 (38.680)	Prec@5 62.500 (68.465)
Epoch: [79][4180/7045]	Time 0.156 (0.243)	Data 0.097 (0.179)	Loss 2.5557 (2.5309)	Prec@1 37.891 (38.681)	Prec@5 67.578 (68.463)
Epoch: [79][4190/7045]	Time 0.398 (0.243)	Data 0.346 (0.179)	Loss 2.5148 (2.5310)	Prec@1 40.625 (38.680)	Prec@5 69.922 (68.462)
Epoch: [79][4200/7045]	Time 0.162 (0.243)	Data 0.111 (0.179)	Loss 2.4022 (2.5310)	Prec@1 41.016 (38.679)	Prec@5 69.922 (68.463)
Epoch: [79][4210/7045]	Time 0.335 (0.243)	Data 0.283 (0.179)	Loss 2.3829 (2.5312)	Prec@1 41.797 (38.678)	Prec@5 71.875 (68.462)
Epoch: [79][4220/7045]	Time 0.111 (0.243)	Data 0.058 (0.179)	Loss 2.5133 (2.5312)	Prec@1 35.547 (38.681)	Prec@5 70.312 (68.460)
Epoch: [79][4230/7045]	Time 0.284 (0.243)	Data 0.232 (0.179)	Loss 2.6093 (2.5312)	Prec@1 39.453 (38.681)	Prec@5 63.281 (68.459)
Epoch: [79][4240/7045]	Time 0.110 (0.243)	Data 0.058 (0.179)	Loss 2.3173 (2.5312)	Prec@1 43.750 (38.682)	Prec@5 73.047 (68.459)
Epoch: [79][4250/7045]	Time 0.166 (0.243)	Data 0.115 (0.179)	Loss 2.5206 (2.5311)	Prec@1 41.797 (38.683)	Prec@5 69.141 (68.460)
Epoch: [79][4260/7045]	Time 0.107 (0.243)	Data 0.001 (0.179)	Loss 2.4960 (2.5310)	Prec@1 42.969 (38.686)	Prec@5 70.312 (68.464)
Epoch: [79][4270/7045]	Time 0.338 (0.243)	Data 0.286 (0.179)	Loss 2.6652 (2.5311)	Prec@1 34.766 (38.686)	Prec@5 63.281 (68.459)
Epoch: [79][4280/7045]	Time 0.101 (0.243)	Data 0.003 (0.179)	Loss 2.5052 (2.5311)	Prec@1 43.359 (38.687)	Prec@5 67.578 (68.461)
Epoch: [79][4290/7045]	Time 0.368 (0.243)	Data 0.316 (0.179)	Loss 2.6364 (2.5313)	Prec@1 35.156 (38.683)	Prec@5 65.625 (68.457)
Epoch: [79][4300/7045]	Time 0.109 (0.243)	Data 0.057 (0.179)	Loss 2.4971 (2.5314)	Prec@1 39.062 (38.681)	Prec@5 69.922 (68.457)
Epoch: [79][4310/7045]	Time 0.368 (0.243)	Data 0.316 (0.179)	Loss 2.5454 (2.5314)	Prec@1 37.500 (38.682)	Prec@5 66.016 (68.456)
Epoch: [79][4320/7045]	Time 0.145 (0.243)	Data 0.093 (0.179)	Loss 2.4245 (2.5314)	Prec@1 39.062 (38.681)	Prec@5 70.703 (68.455)
Epoch: [79][4330/7045]	Time 0.264 (0.243)	Data 0.211 (0.179)	Loss 2.5084 (2.5314)	Prec@1 40.625 (38.678)	Prec@5 71.094 (68.454)
Epoch: [79][4340/7045]	Time 0.108 (0.243)	Data 0.054 (0.179)	Loss 2.6967 (2.5315)	Prec@1 33.984 (38.675)	Prec@5 65.234 (68.451)
Epoch: [79][4350/7045]	Time 0.266 (0.243)	Data 0.214 (0.179)	Loss 2.5050 (2.5315)	Prec@1 36.719 (38.676)	Prec@5 71.875 (68.453)
Epoch: [79][4360/7045]	Time 0.106 (0.243)	Data 0.052 (0.179)	Loss 2.5592 (2.5315)	Prec@1 37.500 (38.672)	Prec@5 64.453 (68.452)
Epoch: [79][4370/7045]	Time 0.283 (0.243)	Data 0.230 (0.179)	Loss 2.5160 (2.5315)	Prec@1 41.016 (38.671)	Prec@5 67.188 (68.454)
Epoch: [79][4380/7045]	Time 0.106 (0.243)	Data 0.053 (0.179)	Loss 2.5366 (2.5315)	Prec@1 35.547 (38.671)	Prec@5 64.844 (68.452)
Epoch: [79][4390/7045]	Time 0.202 (0.243)	Data 0.149 (0.179)	Loss 2.4736 (2.5315)	Prec@1 39.453 (38.672)	Prec@5 71.875 (68.452)
Epoch: [79][4400/7045]	Time 0.203 (0.243)	Data 0.151 (0.179)	Loss 2.3522 (2.5314)	Prec@1 46.094 (38.675)	Prec@5 72.656 (68.453)
Epoch: [79][4410/7045]	Time 0.167 (0.243)	Data 0.114 (0.179)	Loss 2.4236 (2.5313)	Prec@1 37.109 (38.678)	Prec@5 71.094 (68.456)
Epoch: [79][4420/7045]	Time 0.115 (0.243)	Data 0.063 (0.179)	Loss 2.7009 (2.5314)	Prec@1 38.281 (38.674)	Prec@5 61.719 (68.451)
Epoch: [79][4430/7045]	Time 0.132 (0.243)	Data 0.079 (0.179)	Loss 2.3861 (2.5314)	Prec@1 40.625 (38.675)	Prec@5 72.266 (68.452)
Epoch: [79][4440/7045]	Time 0.127 (0.243)	Data 0.075 (0.179)	Loss 2.7536 (2.5316)	Prec@1 35.547 (38.670)	Prec@5 67.969 (68.447)
Epoch: [79][4450/7045]	Time 0.173 (0.243)	Data 0.121 (0.179)	Loss 2.3007 (2.5315)	Prec@1 39.844 (38.671)	Prec@5 73.828 (68.448)
Epoch: [79][4460/7045]	Time 0.215 (0.243)	Data 0.163 (0.179)	Loss 2.5082 (2.5315)	Prec@1 41.406 (38.673)	Prec@5 70.312 (68.446)
Epoch: [79][4470/7045]	Time 0.107 (0.243)	Data 0.054 (0.179)	Loss 2.4998 (2.5315)	Prec@1 41.016 (38.672)	Prec@5 67.969 (68.446)
Epoch: [79][4480/7045]	Time 0.273 (0.243)	Data 0.221 (0.179)	Loss 2.5149 (2.5316)	Prec@1 33.594 (38.669)	Prec@5 68.359 (68.447)
Epoch: [79][4490/7045]	Time 0.150 (0.243)	Data 0.097 (0.179)	Loss 2.5567 (2.5317)	Prec@1 39.062 (38.667)	Prec@5 67.188 (68.447)
Epoch: [79][4500/7045]	Time 0.210 (0.243)	Data 0.155 (0.179)	Loss 2.5221 (2.5316)	Prec@1 39.062 (38.669)	Prec@5 71.484 (68.447)
Epoch: [79][4510/7045]	Time 0.107 (0.243)	Data 0.055 (0.179)	Loss 2.6990 (2.5316)	Prec@1 41.406 (38.670)	Prec@5 66.016 (68.446)
Epoch: [79][4520/7045]	Time 0.225 (0.243)	Data 0.173 (0.179)	Loss 2.4701 (2.5316)	Prec@1 37.109 (38.672)	Prec@5 69.922 (68.446)
Epoch: [79][4530/7045]	Time 0.102 (0.243)	Data 0.005 (0.179)	Loss 2.6344 (2.5316)	Prec@1 36.328 (38.673)	Prec@5 66.016 (68.444)
Epoch: [79][4540/7045]	Time 0.251 (0.243)	Data 0.199 (0.179)	Loss 2.5765 (2.5316)	Prec@1 40.625 (38.673)	Prec@5 66.797 (68.444)
Epoch: [79][4550/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 2.5066 (2.5317)	Prec@1 42.188 (38.672)	Prec@5 68.359 (68.439)
Epoch: [79][4560/7045]	Time 0.317 (0.243)	Data 0.264 (0.179)	Loss 2.5013 (2.5317)	Prec@1 35.938 (38.671)	Prec@5 68.359 (68.439)
Epoch: [79][4570/7045]	Time 0.108 (0.243)	Data 0.006 (0.179)	Loss 2.4080 (2.5316)	Prec@1 42.578 (38.672)	Prec@5 71.484 (68.439)
Epoch: [79][4580/7045]	Time 0.229 (0.243)	Data 0.178 (0.179)	Loss 2.6201 (2.5315)	Prec@1 36.719 (38.676)	Prec@5 67.969 (68.442)
Epoch: [79][4590/7045]	Time 0.103 (0.243)	Data 0.001 (0.179)	Loss 2.6371 (2.5315)	Prec@1 39.062 (38.677)	Prec@5 66.016 (68.444)
Epoch: [79][4600/7045]	Time 0.207 (0.243)	Data 0.155 (0.179)	Loss 2.5141 (2.5315)	Prec@1 41.797 (38.678)	Prec@5 68.359 (68.443)
Epoch: [79][4610/7045]	Time 0.107 (0.243)	Data 0.053 (0.179)	Loss 2.4501 (2.5316)	Prec@1 42.969 (38.678)	Prec@5 66.797 (68.441)
Epoch: [79][4620/7045]	Time 0.164 (0.242)	Data 0.111 (0.179)	Loss 2.6244 (2.5314)	Prec@1 34.766 (38.682)	Prec@5 67.969 (68.443)
Epoch: [79][4630/7045]	Time 0.110 (0.243)	Data 0.057 (0.179)	Loss 2.4119 (2.5313)	Prec@1 36.719 (38.679)	Prec@5 67.578 (68.443)
Epoch: [79][4640/7045]	Time 0.256 (0.242)	Data 0.204 (0.179)	Loss 2.6139 (2.5314)	Prec@1 35.547 (38.677)	Prec@5 67.969 (68.443)
Epoch: [79][4650/7045]	Time 0.108 (0.243)	Data 0.055 (0.179)	Loss 2.4807 (2.5313)	Prec@1 44.141 (38.679)	Prec@5 68.750 (68.443)
Epoch: [79][4660/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 2.3889 (2.5313)	Prec@1 35.547 (38.677)	Prec@5 73.047 (68.447)
Epoch: [79][4670/7045]	Time 0.103 (0.243)	Data 0.006 (0.179)	Loss 2.4640 (2.5312)	Prec@1 39.062 (38.675)	Prec@5 69.531 (68.446)
Epoch: [79][4680/7045]	Time 0.371 (0.243)	Data 0.318 (0.179)	Loss 2.5375 (2.5312)	Prec@1 37.500 (38.674)	Prec@5 67.969 (68.448)
Epoch: [79][4690/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 2.5419 (2.5312)	Prec@1 38.281 (38.671)	Prec@5 68.359 (68.448)
Epoch: [79][4700/7045]	Time 0.554 (0.243)	Data 0.502 (0.179)	Loss 2.5066 (2.5311)	Prec@1 41.797 (38.677)	Prec@5 68.359 (68.452)
Epoch: [79][4710/7045]	Time 0.361 (0.243)	Data 0.309 (0.179)	Loss 2.5728 (2.5310)	Prec@1 38.672 (38.676)	Prec@5 68.750 (68.452)
Epoch: [79][4720/7045]	Time 0.212 (0.243)	Data 0.161 (0.179)	Loss 2.5416 (2.5311)	Prec@1 39.062 (38.672)	Prec@5 69.531 (68.451)
Epoch: [79][4730/7045]	Time 0.142 (0.243)	Data 0.090 (0.179)	Loss 2.6483 (2.5312)	Prec@1 33.594 (38.669)	Prec@5 66.797 (68.449)
Epoch: [79][4740/7045]	Time 0.102 (0.243)	Data 0.004 (0.179)	Loss 2.5681 (2.5311)	Prec@1 36.328 (38.671)	Prec@5 69.141 (68.451)
Epoch: [79][4750/7045]	Time 0.283 (0.243)	Data 0.230 (0.179)	Loss 2.8196 (2.5313)	Prec@1 36.719 (38.670)	Prec@5 63.281 (68.445)
Epoch: [79][4760/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 2.5696 (2.5313)	Prec@1 35.938 (38.672)	Prec@5 69.141 (68.449)
Epoch: [79][4770/7045]	Time 0.532 (0.243)	Data 0.480 (0.179)	Loss 2.4840 (2.5311)	Prec@1 39.453 (38.674)	Prec@5 68.359 (68.450)
Epoch: [79][4780/7045]	Time 0.328 (0.243)	Data 0.276 (0.179)	Loss 2.3167 (2.5313)	Prec@1 41.406 (38.673)	Prec@5 73.438 (68.446)
Epoch: [79][4790/7045]	Time 0.403 (0.243)	Data 0.352 (0.179)	Loss 2.5027 (2.5312)	Prec@1 40.234 (38.674)	Prec@5 70.312 (68.447)
Epoch: [79][4800/7045]	Time 0.225 (0.243)	Data 0.173 (0.179)	Loss 2.5144 (2.5312)	Prec@1 37.109 (38.676)	Prec@5 66.797 (68.447)
Epoch: [79][4810/7045]	Time 0.103 (0.243)	Data 0.001 (0.179)	Loss 2.4342 (2.5311)	Prec@1 40.234 (38.676)	Prec@5 72.266 (68.446)
Epoch: [79][4820/7045]	Time 0.129 (0.243)	Data 0.077 (0.179)	Loss 2.5307 (2.5311)	Prec@1 41.016 (38.678)	Prec@5 67.969 (68.446)
Epoch: [79][4830/7045]	Time 0.103 (0.243)	Data 0.006 (0.179)	Loss 2.4937 (2.5311)	Prec@1 37.109 (38.677)	Prec@5 69.141 (68.447)
Epoch: [79][4840/7045]	Time 0.329 (0.243)	Data 0.278 (0.179)	Loss 2.4220 (2.5311)	Prec@1 41.797 (38.676)	Prec@5 69.922 (68.446)
Epoch: [79][4850/7045]	Time 0.108 (0.243)	Data 0.001 (0.179)	Loss 2.5153 (2.5310)	Prec@1 38.281 (38.678)	Prec@5 71.094 (68.447)
Epoch: [79][4860/7045]	Time 0.617 (0.243)	Data 0.558 (0.179)	Loss 2.6124 (2.5310)	Prec@1 35.938 (38.679)	Prec@5 68.750 (68.448)
Epoch: [79][4870/7045]	Time 0.200 (0.243)	Data 0.148 (0.179)	Loss 2.7152 (2.5310)	Prec@1 36.328 (38.678)	Prec@5 64.844 (68.446)
Epoch: [79][4880/7045]	Time 0.230 (0.243)	Data 0.178 (0.179)	Loss 2.4920 (2.5310)	Prec@1 45.703 (38.681)	Prec@5 69.922 (68.447)
Epoch: [79][4890/7045]	Time 0.111 (0.243)	Data 0.058 (0.179)	Loss 2.5306 (2.5310)	Prec@1 40.625 (38.683)	Prec@5 64.844 (68.449)
Epoch: [79][4900/7045]	Time 0.160 (0.243)	Data 0.108 (0.179)	Loss 2.4441 (2.5309)	Prec@1 40.234 (38.683)	Prec@5 70.703 (68.451)
Epoch: [79][4910/7045]	Time 0.240 (0.243)	Data 0.189 (0.179)	Loss 2.5221 (2.5310)	Prec@1 35.156 (38.680)	Prec@5 69.531 (68.450)
Epoch: [79][4920/7045]	Time 0.108 (0.243)	Data 0.050 (0.179)	Loss 2.4484 (2.5311)	Prec@1 37.891 (38.677)	Prec@5 70.312 (68.448)
Epoch: [79][4930/7045]	Time 0.716 (0.243)	Data 0.664 (0.179)	Loss 2.5331 (2.5310)	Prec@1 39.062 (38.678)	Prec@5 67.969 (68.451)
Epoch: [79][4940/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 2.6069 (2.5311)	Prec@1 34.766 (38.678)	Prec@5 67.188 (68.450)
Epoch: [79][4950/7045]	Time 0.586 (0.243)	Data 0.528 (0.179)	Loss 2.7671 (2.5311)	Prec@1 34.766 (38.677)	Prec@5 63.281 (68.452)
Epoch: [79][4960/7045]	Time 0.102 (0.243)	Data 0.003 (0.179)	Loss 2.5981 (2.5311)	Prec@1 39.844 (38.677)	Prec@5 67.188 (68.453)
Epoch: [79][4970/7045]	Time 0.107 (0.243)	Data 0.001 (0.179)	Loss 2.5472 (2.5312)	Prec@1 37.891 (38.675)	Prec@5 67.969 (68.450)
Epoch: [79][4980/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 2.7962 (2.5313)	Prec@1 33.594 (38.674)	Prec@5 63.672 (68.449)
Epoch: [79][4990/7045]	Time 0.112 (0.243)	Data 0.060 (0.179)	Loss 2.5283 (2.5313)	Prec@1 39.453 (38.674)	Prec@5 66.797 (68.448)
Epoch: [79][5000/7045]	Time 0.503 (0.243)	Data 0.450 (0.179)	Loss 2.4010 (2.5313)	Prec@1 39.062 (38.672)	Prec@5 70.703 (68.448)
Epoch: [79][5010/7045]	Time 0.112 (0.243)	Data 0.059 (0.179)	Loss 2.4288 (2.5315)	Prec@1 39.844 (38.668)	Prec@5 67.969 (68.444)
Epoch: [79][5020/7045]	Time 0.645 (0.243)	Data 0.586 (0.179)	Loss 2.5707 (2.5315)	Prec@1 38.672 (38.667)	Prec@5 66.406 (68.444)
Epoch: [79][5030/7045]	Time 0.176 (0.243)	Data 0.123 (0.179)	Loss 2.5273 (2.5313)	Prec@1 40.234 (38.671)	Prec@5 69.531 (68.448)
Epoch: [79][5040/7045]	Time 0.335 (0.243)	Data 0.282 (0.179)	Loss 2.7429 (2.5313)	Prec@1 33.203 (38.671)	Prec@5 63.672 (68.449)
Epoch: [79][5050/7045]	Time 0.108 (0.243)	Data 0.055 (0.179)	Loss 2.4644 (2.5314)	Prec@1 39.844 (38.668)	Prec@5 72.266 (68.449)
Epoch: [79][5060/7045]	Time 0.115 (0.243)	Data 0.055 (0.179)	Loss 2.6983 (2.5316)	Prec@1 38.672 (38.665)	Prec@5 65.234 (68.444)
Epoch: [79][5070/7045]	Time 0.110 (0.243)	Data 0.058 (0.179)	Loss 2.5322 (2.5317)	Prec@1 38.281 (38.665)	Prec@5 66.016 (68.443)
Epoch: [79][5080/7045]	Time 0.107 (0.243)	Data 0.001 (0.179)	Loss 2.5390 (2.5317)	Prec@1 42.578 (38.667)	Prec@5 66.016 (68.443)
Epoch: [79][5090/7045]	Time 0.663 (0.243)	Data 0.610 (0.179)	Loss 2.4725 (2.5316)	Prec@1 39.844 (38.669)	Prec@5 67.969 (68.446)
Epoch: [79][5100/7045]	Time 0.101 (0.243)	Data 0.001 (0.179)	Loss 2.8655 (2.5317)	Prec@1 36.328 (38.666)	Prec@5 63.672 (68.443)
Epoch: [79][5110/7045]	Time 0.534 (0.243)	Data 0.482 (0.179)	Loss 2.3931 (2.5316)	Prec@1 39.844 (38.669)	Prec@5 74.219 (68.446)
Epoch: [79][5120/7045]	Time 0.150 (0.243)	Data 0.098 (0.179)	Loss 2.4434 (2.5317)	Prec@1 44.531 (38.667)	Prec@5 70.312 (68.444)
Epoch: [79][5130/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 2.2723 (2.5317)	Prec@1 41.016 (38.669)	Prec@5 76.953 (68.444)
Epoch: [79][5140/7045]	Time 0.103 (0.243)	Data 0.001 (0.179)	Loss 2.6307 (2.5317)	Prec@1 36.328 (38.668)	Prec@5 67.578 (68.444)
Epoch: [79][5150/7045]	Time 0.258 (0.243)	Data 0.206 (0.179)	Loss 2.3848 (2.5317)	Prec@1 42.969 (38.668)	Prec@5 69.531 (68.445)
Epoch: [79][5160/7045]	Time 0.385 (0.243)	Data 0.333 (0.179)	Loss 2.7314 (2.5317)	Prec@1 35.547 (38.666)	Prec@5 62.500 (68.444)
Epoch: [79][5170/7045]	Time 0.164 (0.243)	Data 0.111 (0.179)	Loss 2.4425 (2.5317)	Prec@1 41.797 (38.667)	Prec@5 74.219 (68.446)
Epoch: [79][5180/7045]	Time 0.414 (0.243)	Data 0.361 (0.179)	Loss 2.6096 (2.5318)	Prec@1 35.938 (38.666)	Prec@5 67.969 (68.444)
Epoch: [79][5190/7045]	Time 0.160 (0.243)	Data 0.107 (0.179)	Loss 2.5324 (2.5318)	Prec@1 39.062 (38.665)	Prec@5 67.578 (68.444)
Epoch: [79][5200/7045]	Time 0.289 (0.243)	Data 0.236 (0.179)	Loss 2.3874 (2.5319)	Prec@1 40.625 (38.664)	Prec@5 69.531 (68.443)
Epoch: [79][5210/7045]	Time 0.133 (0.243)	Data 0.080 (0.179)	Loss 2.5333 (2.5318)	Prec@1 42.969 (38.666)	Prec@5 68.750 (68.445)
Epoch: [79][5220/7045]	Time 0.222 (0.243)	Data 0.170 (0.179)	Loss 2.5679 (2.5318)	Prec@1 39.062 (38.666)	Prec@5 68.359 (68.447)
Epoch: [79][5230/7045]	Time 0.101 (0.243)	Data 0.001 (0.179)	Loss 2.2548 (2.5318)	Prec@1 42.188 (38.667)	Prec@5 76.562 (68.447)
Epoch: [79][5240/7045]	Time 0.319 (0.243)	Data 0.267 (0.179)	Loss 2.4096 (2.5316)	Prec@1 39.453 (38.668)	Prec@5 70.312 (68.449)
Epoch: [79][5250/7045]	Time 0.386 (0.243)	Data 0.333 (0.179)	Loss 2.5891 (2.5317)	Prec@1 35.156 (38.667)	Prec@5 69.922 (68.450)
Epoch: [79][5260/7045]	Time 0.127 (0.243)	Data 0.074 (0.179)	Loss 2.4865 (2.5317)	Prec@1 36.328 (38.668)	Prec@5 69.141 (68.448)
Epoch: [79][5270/7045]	Time 0.319 (0.243)	Data 0.268 (0.179)	Loss 2.5737 (2.5317)	Prec@1 38.281 (38.667)	Prec@5 67.969 (68.447)
Epoch: [79][5280/7045]	Time 0.388 (0.243)	Data 0.335 (0.179)	Loss 2.5987 (2.5318)	Prec@1 41.406 (38.666)	Prec@5 67.188 (68.445)
Epoch: [79][5290/7045]	Time 0.102 (0.243)	Data 0.006 (0.179)	Loss 2.5678 (2.5319)	Prec@1 40.234 (38.665)	Prec@5 65.625 (68.443)
Epoch: [79][5300/7045]	Time 0.341 (0.243)	Data 0.290 (0.179)	Loss 2.6792 (2.5321)	Prec@1 34.766 (38.660)	Prec@5 65.234 (68.441)
Epoch: [79][5310/7045]	Time 0.295 (0.243)	Data 0.243 (0.179)	Loss 2.4064 (2.5320)	Prec@1 45.703 (38.663)	Prec@5 71.484 (68.443)
Epoch: [79][5320/7045]	Time 0.103 (0.243)	Data 0.003 (0.179)	Loss 2.5315 (2.5319)	Prec@1 37.500 (38.664)	Prec@5 68.750 (68.444)
Epoch: [79][5330/7045]	Time 0.145 (0.243)	Data 0.091 (0.179)	Loss 2.5392 (2.5320)	Prec@1 40.234 (38.663)	Prec@5 66.797 (68.443)
Epoch: [79][5340/7045]	Time 0.137 (0.243)	Data 0.084 (0.179)	Loss 2.6497 (2.5321)	Prec@1 38.672 (38.661)	Prec@5 64.844 (68.441)
Epoch: [79][5350/7045]	Time 0.257 (0.243)	Data 0.206 (0.179)	Loss 2.5034 (2.5320)	Prec@1 44.531 (38.663)	Prec@5 70.312 (68.443)
Epoch: [79][5360/7045]	Time 0.111 (0.243)	Data 0.058 (0.179)	Loss 2.5778 (2.5320)	Prec@1 37.891 (38.662)	Prec@5 69.141 (68.442)
Epoch: [79][5370/7045]	Time 0.441 (0.243)	Data 0.388 (0.179)	Loss 2.3977 (2.5321)	Prec@1 42.969 (38.662)	Prec@5 69.141 (68.442)
Epoch: [79][5380/7045]	Time 0.203 (0.243)	Data 0.151 (0.179)	Loss 2.5660 (2.5321)	Prec@1 38.281 (38.662)	Prec@5 67.969 (68.440)
Epoch: [79][5390/7045]	Time 0.261 (0.243)	Data 0.209 (0.179)	Loss 2.5475 (2.5323)	Prec@1 37.109 (38.657)	Prec@5 69.531 (68.438)
Epoch: [79][5400/7045]	Time 0.337 (0.243)	Data 0.285 (0.179)	Loss 2.6040 (2.5324)	Prec@1 35.938 (38.654)	Prec@5 65.234 (68.437)
Epoch: [79][5410/7045]	Time 0.186 (0.243)	Data 0.133 (0.179)	Loss 2.6754 (2.5324)	Prec@1 33.984 (38.655)	Prec@5 66.016 (68.437)
Epoch: [79][5420/7045]	Time 0.122 (0.243)	Data 0.069 (0.179)	Loss 2.6122 (2.5325)	Prec@1 32.422 (38.652)	Prec@5 69.922 (68.435)
Epoch: [79][5430/7045]	Time 0.102 (0.243)	Data 0.007 (0.179)	Loss 2.5236 (2.5324)	Prec@1 39.844 (38.651)	Prec@5 69.141 (68.436)
Epoch: [79][5440/7045]	Time 0.403 (0.243)	Data 0.351 (0.179)	Loss 2.5540 (2.5324)	Prec@1 33.984 (38.653)	Prec@5 67.969 (68.438)
Epoch: [79][5450/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 2.6412 (2.5324)	Prec@1 33.203 (38.653)	Prec@5 65.234 (68.438)
Epoch: [79][5460/7045]	Time 0.475 (0.243)	Data 0.423 (0.179)	Loss 2.7049 (2.5324)	Prec@1 43.359 (38.655)	Prec@5 65.625 (68.436)
Epoch: [79][5470/7045]	Time 0.266 (0.243)	Data 0.213 (0.179)	Loss 2.4782 (2.5325)	Prec@1 41.016 (38.654)	Prec@5 69.531 (68.436)
Epoch: [79][5480/7045]	Time 0.106 (0.243)	Data 0.052 (0.179)	Loss 2.7279 (2.5324)	Prec@1 34.375 (38.654)	Prec@5 61.328 (68.435)
Epoch: [79][5490/7045]	Time 0.223 (0.243)	Data 0.172 (0.179)	Loss 2.3863 (2.5324)	Prec@1 37.109 (38.652)	Prec@5 68.750 (68.434)
Epoch: [79][5500/7045]	Time 0.287 (0.243)	Data 0.229 (0.179)	Loss 2.5803 (2.5325)	Prec@1 36.328 (38.651)	Prec@5 66.406 (68.433)
Epoch: [79][5510/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 2.6929 (2.5326)	Prec@1 37.500 (38.649)	Prec@5 66.797 (68.431)
Epoch: [79][5520/7045]	Time 0.326 (0.243)	Data 0.275 (0.179)	Loss 2.6096 (2.5327)	Prec@1 38.672 (38.651)	Prec@5 66.406 (68.430)
Epoch: [79][5530/7045]	Time 0.354 (0.243)	Data 0.302 (0.179)	Loss 2.5351 (2.5329)	Prec@1 36.328 (38.647)	Prec@5 67.969 (68.427)
Epoch: [79][5540/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 2.6119 (2.5329)	Prec@1 34.766 (38.646)	Prec@5 66.016 (68.426)
Epoch: [79][5550/7045]	Time 0.304 (0.243)	Data 0.251 (0.179)	Loss 2.6663 (2.5329)	Prec@1 35.547 (38.648)	Prec@5 68.750 (68.427)
Epoch: [79][5560/7045]	Time 0.300 (0.243)	Data 0.248 (0.179)	Loss 2.4923 (2.5329)	Prec@1 38.281 (38.646)	Prec@5 69.531 (68.426)
Epoch: [79][5570/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 2.3329 (2.5328)	Prec@1 40.234 (38.646)	Prec@5 73.438 (68.429)
Epoch: [79][5580/7045]	Time 0.185 (0.243)	Data 0.134 (0.179)	Loss 2.5271 (2.5327)	Prec@1 34.766 (38.648)	Prec@5 71.094 (68.431)
Epoch: [79][5590/7045]	Time 0.454 (0.243)	Data 0.401 (0.179)	Loss 2.5786 (2.5327)	Prec@1 37.500 (38.650)	Prec@5 66.016 (68.428)
Epoch: [79][5600/7045]	Time 0.110 (0.243)	Data 0.001 (0.179)	Loss 2.3559 (2.5326)	Prec@1 41.406 (38.652)	Prec@5 70.703 (68.428)
Epoch: [79][5610/7045]	Time 0.395 (0.243)	Data 0.344 (0.179)	Loss 2.5359 (2.5328)	Prec@1 37.109 (38.650)	Prec@5 68.750 (68.426)
Epoch: [79][5620/7045]	Time 0.184 (0.243)	Data 0.132 (0.179)	Loss 2.5198 (2.5327)	Prec@1 36.328 (38.651)	Prec@5 68.750 (68.428)
Epoch: [79][5630/7045]	Time 0.109 (0.243)	Data 0.001 (0.180)	Loss 2.5100 (2.5327)	Prec@1 39.453 (38.649)	Prec@5 70.312 (68.428)
Epoch: [79][5640/7045]	Time 0.156 (0.243)	Data 0.103 (0.179)	Loss 2.4097 (2.5327)	Prec@1 37.109 (38.647)	Prec@5 71.875 (68.430)
Epoch: [79][5650/7045]	Time 0.130 (0.243)	Data 0.079 (0.180)	Loss 2.5996 (2.5327)	Prec@1 37.109 (38.646)	Prec@5 67.969 (68.429)
Epoch: [79][5660/7045]	Time 0.468 (0.243)	Data 0.416 (0.180)	Loss 2.5862 (2.5328)	Prec@1 37.500 (38.646)	Prec@5 66.406 (68.429)
Epoch: [79][5670/7045]	Time 0.110 (0.243)	Data 0.001 (0.180)	Loss 2.5755 (2.5327)	Prec@1 38.672 (38.647)	Prec@5 70.312 (68.430)
Epoch: [79][5680/7045]	Time 0.589 (0.243)	Data 0.537 (0.180)	Loss 2.7380 (2.5327)	Prec@1 35.938 (38.647)	Prec@5 64.062 (68.430)
Epoch: [79][5690/7045]	Time 0.107 (0.243)	Data 0.054 (0.180)	Loss 2.4956 (2.5328)	Prec@1 37.891 (38.644)	Prec@5 69.531 (68.427)
Epoch: [79][5700/7045]	Time 0.173 (0.243)	Data 0.121 (0.180)	Loss 2.5748 (2.5328)	Prec@1 40.625 (38.641)	Prec@5 67.969 (68.427)
Epoch: [79][5710/7045]	Time 0.102 (0.243)	Data 0.005 (0.180)	Loss 2.5034 (2.5329)	Prec@1 39.453 (38.641)	Prec@5 67.969 (68.427)
Epoch: [79][5720/7045]	Time 0.168 (0.243)	Data 0.116 (0.180)	Loss 2.3514 (2.5329)	Prec@1 39.453 (38.640)	Prec@5 73.047 (68.427)
Epoch: [79][5730/7045]	Time 0.250 (0.243)	Data 0.199 (0.180)	Loss 2.3532 (2.5329)	Prec@1 39.844 (38.641)	Prec@5 71.875 (68.428)
Epoch: [79][5740/7045]	Time 0.220 (0.243)	Data 0.168 (0.180)	Loss 2.5057 (2.5328)	Prec@1 39.844 (38.642)	Prec@5 69.922 (68.431)
Epoch: [79][5750/7045]	Time 0.716 (0.243)	Data 0.665 (0.180)	Loss 2.4850 (2.5329)	Prec@1 38.281 (38.641)	Prec@5 70.312 (68.430)
Epoch: [79][5760/7045]	Time 0.102 (0.243)	Data 0.001 (0.180)	Loss 2.5598 (2.5329)	Prec@1 36.719 (38.642)	Prec@5 67.578 (68.431)
Epoch: [79][5770/7045]	Time 0.622 (0.243)	Data 0.570 (0.180)	Loss 2.4774 (2.5327)	Prec@1 39.453 (38.644)	Prec@5 69.922 (68.433)
Epoch: [79][5780/7045]	Time 0.102 (0.243)	Data 0.003 (0.180)	Loss 2.4547 (2.5327)	Prec@1 41.797 (38.645)	Prec@5 73.047 (68.434)
Epoch: [79][5790/7045]	Time 0.188 (0.243)	Data 0.127 (0.180)	Loss 2.7394 (2.5327)	Prec@1 37.109 (38.646)	Prec@5 63.281 (68.434)
Epoch: [79][5800/7045]	Time 0.103 (0.243)	Data 0.001 (0.180)	Loss 2.5261 (2.5326)	Prec@1 41.016 (38.647)	Prec@5 68.750 (68.437)
Epoch: [79][5810/7045]	Time 0.108 (0.243)	Data 0.001 (0.180)	Loss 2.6578 (2.5325)	Prec@1 38.281 (38.648)	Prec@5 65.625 (68.437)
Epoch: [79][5820/7045]	Time 0.223 (0.243)	Data 0.171 (0.179)	Loss 2.6164 (2.5325)	Prec@1 36.328 (38.648)	Prec@5 68.359 (68.439)
Epoch: [79][5830/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 2.4917 (2.5325)	Prec@1 42.188 (38.646)	Prec@5 67.188 (68.437)
Epoch: [79][5840/7045]	Time 0.788 (0.243)	Data 0.736 (0.180)	Loss 2.3589 (2.5324)	Prec@1 42.188 (38.648)	Prec@5 73.047 (68.439)
Epoch: [79][5850/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 2.5422 (2.5325)	Prec@1 37.891 (38.646)	Prec@5 67.969 (68.434)
Epoch: [79][5860/7045]	Time 0.800 (0.243)	Data 0.749 (0.179)	Loss 2.4701 (2.5326)	Prec@1 38.281 (38.643)	Prec@5 71.875 (68.433)
Epoch: [79][5870/7045]	Time 0.103 (0.243)	Data 0.001 (0.179)	Loss 2.3547 (2.5326)	Prec@1 42.188 (38.642)	Prec@5 70.703 (68.431)
Epoch: [79][5880/7045]	Time 0.629 (0.243)	Data 0.578 (0.179)	Loss 2.5174 (2.5327)	Prec@1 38.672 (38.640)	Prec@5 69.531 (68.429)
Epoch: [79][5890/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 2.7098 (2.5328)	Prec@1 37.109 (38.639)	Prec@5 61.328 (68.426)
Epoch: [79][5900/7045]	Time 0.654 (0.243)	Data 0.595 (0.179)	Loss 2.6403 (2.5329)	Prec@1 36.328 (38.638)	Prec@5 67.578 (68.426)
Epoch: [79][5910/7045]	Time 0.103 (0.243)	Data 0.008 (0.179)	Loss 2.4518 (2.5330)	Prec@1 41.406 (38.637)	Prec@5 69.141 (68.424)
Epoch: [79][5920/7045]	Time 0.591 (0.243)	Data 0.539 (0.179)	Loss 2.4881 (2.5330)	Prec@1 38.281 (38.637)	Prec@5 69.922 (68.424)
Epoch: [79][5930/7045]	Time 0.112 (0.243)	Data 0.060 (0.179)	Loss 2.5268 (2.5331)	Prec@1 36.328 (38.636)	Prec@5 69.531 (68.424)
Epoch: [79][5940/7045]	Time 0.529 (0.243)	Data 0.477 (0.179)	Loss 2.4935 (2.5331)	Prec@1 38.281 (38.634)	Prec@5 65.625 (68.424)
Epoch: [79][5950/7045]	Time 0.109 (0.243)	Data 0.004 (0.179)	Loss 2.5583 (2.5332)	Prec@1 39.062 (38.633)	Prec@5 66.797 (68.421)
Epoch: [79][5960/7045]	Time 0.535 (0.243)	Data 0.483 (0.179)	Loss 2.3508 (2.5331)	Prec@1 40.234 (38.631)	Prec@5 71.094 (68.421)
Epoch: [79][5970/7045]	Time 0.102 (0.243)	Data 0.007 (0.179)	Loss 2.7025 (2.5332)	Prec@1 36.328 (38.630)	Prec@5 63.672 (68.419)
Epoch: [79][5980/7045]	Time 0.465 (0.243)	Data 0.413 (0.179)	Loss 2.6450 (2.5332)	Prec@1 38.672 (38.628)	Prec@5 67.969 (68.418)
Epoch: [79][5990/7045]	Time 0.102 (0.243)	Data 0.006 (0.179)	Loss 2.5154 (2.5332)	Prec@1 40.234 (38.627)	Prec@5 69.141 (68.418)
Epoch: [79][6000/7045]	Time 0.415 (0.243)	Data 0.362 (0.179)	Loss 2.5361 (2.5332)	Prec@1 32.422 (38.625)	Prec@5 71.094 (68.419)
Epoch: [79][6010/7045]	Time 0.180 (0.243)	Data 0.127 (0.179)	Loss 2.6986 (2.5333)	Prec@1 36.328 (38.624)	Prec@5 66.016 (68.418)
Epoch: [79][6020/7045]	Time 0.385 (0.243)	Data 0.332 (0.179)	Loss 2.6522 (2.5333)	Prec@1 37.500 (38.625)	Prec@5 64.062 (68.418)
Epoch: [79][6030/7045]	Time 0.164 (0.243)	Data 0.111 (0.179)	Loss 2.6879 (2.5333)	Prec@1 37.109 (38.626)	Prec@5 63.281 (68.417)
Epoch: [79][6040/7045]	Time 0.407 (0.243)	Data 0.355 (0.179)	Loss 2.8353 (2.5333)	Prec@1 32.422 (38.624)	Prec@5 62.109 (68.416)
Epoch: [79][6050/7045]	Time 0.217 (0.243)	Data 0.164 (0.179)	Loss 2.4558 (2.5333)	Prec@1 40.625 (38.625)	Prec@5 73.047 (68.418)
Epoch: [79][6060/7045]	Time 0.294 (0.243)	Data 0.242 (0.179)	Loss 2.4789 (2.5333)	Prec@1 40.625 (38.625)	Prec@5 73.047 (68.420)
Epoch: [79][6070/7045]	Time 0.229 (0.243)	Data 0.177 (0.179)	Loss 2.6261 (2.5333)	Prec@1 38.281 (38.626)	Prec@5 65.625 (68.420)
Epoch: [79][6080/7045]	Time 0.213 (0.243)	Data 0.161 (0.179)	Loss 2.6334 (2.5333)	Prec@1 39.453 (38.628)	Prec@5 67.188 (68.420)
Epoch: [79][6090/7045]	Time 0.258 (0.243)	Data 0.206 (0.179)	Loss 2.4715 (2.5333)	Prec@1 40.625 (38.630)	Prec@5 68.750 (68.421)
Epoch: [79][6100/7045]	Time 0.191 (0.243)	Data 0.139 (0.179)	Loss 2.7403 (2.5333)	Prec@1 37.109 (38.631)	Prec@5 62.109 (68.421)
Epoch: [79][6110/7045]	Time 0.223 (0.243)	Data 0.170 (0.179)	Loss 2.5129 (2.5333)	Prec@1 36.719 (38.630)	Prec@5 67.578 (68.420)
Epoch: [79][6120/7045]	Time 0.196 (0.243)	Data 0.145 (0.179)	Loss 2.6664 (2.5332)	Prec@1 30.859 (38.630)	Prec@5 66.797 (68.422)
Epoch: [79][6130/7045]	Time 0.170 (0.243)	Data 0.118 (0.179)	Loss 2.2751 (2.5331)	Prec@1 45.312 (38.635)	Prec@5 73.438 (68.426)
Epoch: [79][6140/7045]	Time 0.145 (0.243)	Data 0.094 (0.179)	Loss 2.3641 (2.5331)	Prec@1 44.141 (38.635)	Prec@5 69.141 (68.424)
Epoch: [79][6150/7045]	Time 0.145 (0.243)	Data 0.093 (0.179)	Loss 2.5661 (2.5330)	Prec@1 37.500 (38.634)	Prec@5 66.797 (68.425)
Epoch: [79][6160/7045]	Time 0.102 (0.243)	Data 0.047 (0.179)	Loss 2.7126 (2.5330)	Prec@1 33.984 (38.633)	Prec@5 65.625 (68.426)
Epoch: [79][6170/7045]	Time 0.106 (0.243)	Data 0.053 (0.179)	Loss 2.5139 (2.5330)	Prec@1 35.938 (38.634)	Prec@5 68.359 (68.427)
Epoch: [79][6180/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 2.4526 (2.5329)	Prec@1 38.672 (38.636)	Prec@5 70.312 (68.429)
Epoch: [79][6190/7045]	Time 0.111 (0.243)	Data 0.059 (0.179)	Loss 2.5644 (2.5330)	Prec@1 37.109 (38.634)	Prec@5 69.141 (68.429)
Epoch: [79][6200/7045]	Time 0.113 (0.243)	Data 0.060 (0.179)	Loss 2.5302 (2.5331)	Prec@1 39.062 (38.630)	Prec@5 72.656 (68.428)
Epoch: [79][6210/7045]	Time 0.153 (0.243)	Data 0.101 (0.179)	Loss 2.5996 (2.5331)	Prec@1 39.062 (38.631)	Prec@5 67.188 (68.427)
Epoch: [79][6220/7045]	Time 0.108 (0.243)	Data 0.055 (0.179)	Loss 2.6450 (2.5330)	Prec@1 35.547 (38.633)	Prec@5 68.359 (68.429)
Epoch: [79][6230/7045]	Time 0.108 (0.243)	Data 0.055 (0.179)	Loss 2.4982 (2.5329)	Prec@1 38.672 (38.633)	Prec@5 69.141 (68.432)
Epoch: [79][6240/7045]	Time 0.168 (0.243)	Data 0.115 (0.179)	Loss 2.7134 (2.5330)	Prec@1 38.672 (38.632)	Prec@5 66.797 (68.432)
Epoch: [79][6250/7045]	Time 0.125 (0.243)	Data 0.071 (0.179)	Loss 2.6447 (2.5330)	Prec@1 39.844 (38.630)	Prec@5 63.281 (68.432)
Epoch: [79][6260/7045]	Time 0.161 (0.243)	Data 0.109 (0.179)	Loss 2.4692 (2.5329)	Prec@1 42.578 (38.631)	Prec@5 69.531 (68.433)
Epoch: [79][6270/7045]	Time 0.205 (0.243)	Data 0.153 (0.179)	Loss 2.8392 (2.5329)	Prec@1 35.156 (38.631)	Prec@5 60.547 (68.433)
Epoch: [79][6280/7045]	Time 0.240 (0.243)	Data 0.180 (0.179)	Loss 2.4144 (2.5329)	Prec@1 43.359 (38.633)	Prec@5 70.703 (68.435)
Epoch: [79][6290/7045]	Time 0.249 (0.243)	Data 0.196 (0.179)	Loss 2.3951 (2.5329)	Prec@1 42.188 (38.631)	Prec@5 71.875 (68.435)
Epoch: [79][6300/7045]	Time 0.389 (0.243)	Data 0.331 (0.179)	Loss 2.5259 (2.5329)	Prec@1 40.625 (38.632)	Prec@5 67.578 (68.437)
Epoch: [79][6310/7045]	Time 0.143 (0.243)	Data 0.092 (0.179)	Loss 2.4483 (2.5329)	Prec@1 42.969 (38.632)	Prec@5 71.484 (68.437)
Epoch: [79][6320/7045]	Time 0.464 (0.243)	Data 0.410 (0.179)	Loss 2.5920 (2.5329)	Prec@1 34.766 (38.633)	Prec@5 66.016 (68.437)
Epoch: [79][6330/7045]	Time 0.196 (0.243)	Data 0.144 (0.179)	Loss 2.5796 (2.5328)	Prec@1 32.812 (38.635)	Prec@5 69.922 (68.440)
Epoch: [79][6340/7045]	Time 0.588 (0.243)	Data 0.537 (0.180)	Loss 2.6538 (2.5328)	Prec@1 35.547 (38.632)	Prec@5 67.188 (68.442)
Epoch: [79][6350/7045]	Time 0.271 (0.243)	Data 0.212 (0.179)	Loss 2.3203 (2.5328)	Prec@1 43.750 (38.633)	Prec@5 71.094 (68.443)
Epoch: [79][6360/7045]	Time 0.484 (0.243)	Data 0.432 (0.179)	Loss 2.3860 (2.5328)	Prec@1 38.672 (38.632)	Prec@5 71.094 (68.445)
Epoch: [79][6370/7045]	Time 0.283 (0.243)	Data 0.231 (0.179)	Loss 2.4815 (2.5329)	Prec@1 41.406 (38.631)	Prec@5 69.922 (68.442)
Epoch: [79][6380/7045]	Time 0.532 (0.243)	Data 0.480 (0.179)	Loss 2.6150 (2.5329)	Prec@1 36.719 (38.630)	Prec@5 67.188 (68.442)
Epoch: [79][6390/7045]	Time 0.246 (0.243)	Data 0.194 (0.179)	Loss 2.6035 (2.5329)	Prec@1 35.938 (38.628)	Prec@5 68.359 (68.441)
Epoch: [79][6400/7045]	Time 0.470 (0.243)	Data 0.410 (0.179)	Loss 2.4481 (2.5329)	Prec@1 38.281 (38.628)	Prec@5 67.578 (68.440)
Epoch: [79][6410/7045]	Time 0.237 (0.243)	Data 0.184 (0.179)	Loss 2.5038 (2.5329)	Prec@1 41.797 (38.628)	Prec@5 70.312 (68.441)
Epoch: [79][6420/7045]	Time 0.450 (0.243)	Data 0.397 (0.179)	Loss 2.3217 (2.5328)	Prec@1 41.797 (38.630)	Prec@5 76.172 (68.442)
Epoch: [79][6430/7045]	Time 0.108 (0.243)	Data 0.057 (0.179)	Loss 2.6138 (2.5329)	Prec@1 35.938 (38.628)	Prec@5 66.797 (68.442)
Epoch: [79][6440/7045]	Time 0.505 (0.243)	Data 0.453 (0.179)	Loss 2.6195 (2.5328)	Prec@1 41.016 (38.628)	Prec@5 63.672 (68.443)
Epoch: [79][6450/7045]	Time 0.102 (0.243)	Data 0.002 (0.179)	Loss 2.7564 (2.5328)	Prec@1 34.766 (38.629)	Prec@5 62.500 (68.442)
Epoch: [79][6460/7045]	Time 0.564 (0.243)	Data 0.511 (0.179)	Loss 2.6407 (2.5328)	Prec@1 39.062 (38.630)	Prec@5 65.234 (68.441)
Epoch: [79][6470/7045]	Time 0.101 (0.243)	Data 0.001 (0.179)	Loss 2.4967 (2.5328)	Prec@1 37.109 (38.632)	Prec@5 67.578 (68.444)
Epoch: [79][6480/7045]	Time 0.592 (0.243)	Data 0.540 (0.179)	Loss 2.6092 (2.5327)	Prec@1 36.719 (38.631)	Prec@5 68.750 (68.445)
Epoch: [79][6490/7045]	Time 0.108 (0.243)	Data 0.055 (0.179)	Loss 2.6226 (2.5328)	Prec@1 35.938 (38.630)	Prec@5 69.141 (68.445)
Epoch: [79][6500/7045]	Time 0.623 (0.243)	Data 0.572 (0.179)	Loss 2.6632 (2.5328)	Prec@1 38.281 (38.629)	Prec@5 65.625 (68.445)
Epoch: [79][6510/7045]	Time 0.144 (0.243)	Data 0.084 (0.179)	Loss 2.3372 (2.5328)	Prec@1 39.453 (38.628)	Prec@5 71.484 (68.446)
Epoch: [79][6520/7045]	Time 0.604 (0.243)	Data 0.548 (0.179)	Loss 2.5524 (2.5329)	Prec@1 38.672 (38.626)	Prec@5 68.750 (68.445)
Epoch: [79][6530/7045]	Time 0.169 (0.243)	Data 0.110 (0.179)	Loss 2.4635 (2.5330)	Prec@1 41.797 (38.623)	Prec@5 70.703 (68.446)
Epoch: [79][6540/7045]	Time 0.523 (0.243)	Data 0.471 (0.179)	Loss 2.8653 (2.5330)	Prec@1 32.031 (38.623)	Prec@5 63.281 (68.444)
Epoch: [79][6550/7045]	Time 0.300 (0.243)	Data 0.249 (0.179)	Loss 2.7461 (2.5331)	Prec@1 36.328 (38.623)	Prec@5 62.109 (68.443)
Epoch: [79][6560/7045]	Time 0.389 (0.243)	Data 0.329 (0.179)	Loss 2.6414 (2.5332)	Prec@1 39.844 (38.622)	Prec@5 64.453 (68.442)
Epoch: [79][6570/7045]	Time 0.324 (0.243)	Data 0.271 (0.179)	Loss 2.5117 (2.5331)	Prec@1 35.547 (38.622)	Prec@5 68.359 (68.441)
Epoch: [79][6580/7045]	Time 0.467 (0.243)	Data 0.415 (0.179)	Loss 2.7043 (2.5333)	Prec@1 35.938 (38.620)	Prec@5 62.109 (68.438)
Epoch: [79][6590/7045]	Time 0.271 (0.243)	Data 0.214 (0.179)	Loss 2.4021 (2.5333)	Prec@1 37.500 (38.620)	Prec@5 71.875 (68.438)
Epoch: [79][6600/7045]	Time 0.475 (0.243)	Data 0.423 (0.179)	Loss 2.1426 (2.5333)	Prec@1 46.094 (38.619)	Prec@5 73.828 (68.436)
Epoch: [79][6610/7045]	Time 0.274 (0.243)	Data 0.222 (0.179)	Loss 2.5132 (2.5334)	Prec@1 34.766 (38.617)	Prec@5 67.188 (68.435)
Epoch: [79][6620/7045]	Time 0.483 (0.243)	Data 0.431 (0.179)	Loss 2.7318 (2.5333)	Prec@1 37.500 (38.619)	Prec@5 66.406 (68.435)
Epoch: [79][6630/7045]	Time 0.287 (0.243)	Data 0.235 (0.179)	Loss 2.4766 (2.5335)	Prec@1 38.672 (38.615)	Prec@5 71.484 (68.432)
Epoch: [79][6640/7045]	Time 0.466 (0.243)	Data 0.415 (0.179)	Loss 2.5802 (2.5335)	Prec@1 34.375 (38.613)	Prec@5 70.312 (68.431)
Epoch: [79][6650/7045]	Time 0.245 (0.243)	Data 0.192 (0.179)	Loss 2.5873 (2.5336)	Prec@1 35.156 (38.611)	Prec@5 66.797 (68.429)
Epoch: [79][6660/7045]	Time 0.378 (0.243)	Data 0.326 (0.179)	Loss 2.6341 (2.5337)	Prec@1 37.500 (38.610)	Prec@5 64.453 (68.427)
Epoch: [79][6670/7045]	Time 0.300 (0.243)	Data 0.249 (0.179)	Loss 2.5342 (2.5336)	Prec@1 38.281 (38.612)	Prec@5 69.531 (68.430)
Epoch: [79][6680/7045]	Time 0.339 (0.243)	Data 0.287 (0.179)	Loss 2.7366 (2.5336)	Prec@1 35.156 (38.610)	Prec@5 62.109 (68.430)
Epoch: [79][6690/7045]	Time 0.293 (0.243)	Data 0.242 (0.179)	Loss 2.6997 (2.5337)	Prec@1 31.250 (38.609)	Prec@5 64.844 (68.429)
Epoch: [79][6700/7045]	Time 0.300 (0.243)	Data 0.248 (0.179)	Loss 2.7844 (2.5337)	Prec@1 29.688 (38.606)	Prec@5 65.234 (68.429)
Epoch: [79][6710/7045]	Time 0.312 (0.243)	Data 0.260 (0.179)	Loss 2.3007 (2.5336)	Prec@1 44.141 (38.606)	Prec@5 74.609 (68.431)
Epoch: [79][6720/7045]	Time 0.318 (0.243)	Data 0.266 (0.179)	Loss 2.5061 (2.5336)	Prec@1 41.016 (38.607)	Prec@5 69.531 (68.433)
Epoch: [79][6730/7045]	Time 0.345 (0.243)	Data 0.289 (0.179)	Loss 2.6403 (2.5336)	Prec@1 40.234 (38.606)	Prec@5 67.578 (68.433)
Epoch: [79][6740/7045]	Time 0.276 (0.243)	Data 0.224 (0.179)	Loss 2.5070 (2.5335)	Prec@1 37.500 (38.608)	Prec@5 68.359 (68.434)
Epoch: [79][6750/7045]	Time 0.405 (0.243)	Data 0.352 (0.179)	Loss 2.5238 (2.5335)	Prec@1 37.500 (38.609)	Prec@5 65.625 (68.434)
Epoch: [79][6760/7045]	Time 0.278 (0.243)	Data 0.226 (0.179)	Loss 2.8293 (2.5336)	Prec@1 32.812 (38.607)	Prec@5 61.328 (68.431)
Epoch: [79][6770/7045]	Time 0.437 (0.243)	Data 0.378 (0.179)	Loss 2.5687 (2.5336)	Prec@1 39.844 (38.607)	Prec@5 67.188 (68.431)
Epoch: [79][6780/7045]	Time 0.255 (0.243)	Data 0.203 (0.179)	Loss 2.5940 (2.5337)	Prec@1 38.281 (38.606)	Prec@5 66.797 (68.429)
Epoch: [79][6790/7045]	Time 0.360 (0.243)	Data 0.308 (0.179)	Loss 2.3978 (2.5336)	Prec@1 40.234 (38.607)	Prec@5 69.922 (68.430)
Epoch: [79][6800/7045]	Time 0.206 (0.243)	Data 0.154 (0.179)	Loss 2.4342 (2.5336)	Prec@1 38.281 (38.607)	Prec@5 70.703 (68.430)
Epoch: [79][6810/7045]	Time 0.444 (0.243)	Data 0.393 (0.179)	Loss 2.5029 (2.5336)	Prec@1 37.891 (38.608)	Prec@5 67.969 (68.430)
Epoch: [79][6820/7045]	Time 0.211 (0.243)	Data 0.160 (0.179)	Loss 2.5633 (2.5335)	Prec@1 39.062 (38.610)	Prec@5 64.844 (68.432)
Epoch: [79][6830/7045]	Time 0.385 (0.243)	Data 0.327 (0.179)	Loss 2.7429 (2.5335)	Prec@1 38.281 (38.610)	Prec@5 61.719 (68.431)
Epoch: [79][6840/7045]	Time 0.258 (0.243)	Data 0.206 (0.179)	Loss 2.5164 (2.5335)	Prec@1 39.062 (38.612)	Prec@5 69.531 (68.432)
Epoch: [79][6850/7045]	Time 0.496 (0.243)	Data 0.444 (0.179)	Loss 2.7086 (2.5335)	Prec@1 33.984 (38.612)	Prec@5 66.016 (68.432)
Epoch: [79][6860/7045]	Time 0.204 (0.243)	Data 0.153 (0.179)	Loss 2.5734 (2.5336)	Prec@1 35.547 (38.610)	Prec@5 65.625 (68.431)
Epoch: [79][6870/7045]	Time 0.521 (0.243)	Data 0.470 (0.179)	Loss 2.5737 (2.5336)	Prec@1 36.719 (38.611)	Prec@5 63.281 (68.429)
Epoch: [79][6880/7045]	Time 0.108 (0.243)	Data 0.054 (0.179)	Loss 2.6091 (2.5335)	Prec@1 36.328 (38.612)	Prec@5 69.922 (68.430)
Epoch: [79][6890/7045]	Time 0.586 (0.243)	Data 0.535 (0.179)	Loss 2.4789 (2.5335)	Prec@1 40.234 (38.611)	Prec@5 68.750 (68.428)
Epoch: [79][6900/7045]	Time 0.112 (0.243)	Data 0.060 (0.179)	Loss 2.5281 (2.5336)	Prec@1 39.453 (38.611)	Prec@5 69.141 (68.428)
Epoch: [79][6910/7045]	Time 0.544 (0.243)	Data 0.492 (0.179)	Loss 2.5024 (2.5336)	Prec@1 41.797 (38.611)	Prec@5 68.750 (68.429)
Epoch: [79][6920/7045]	Time 0.112 (0.243)	Data 0.060 (0.179)	Loss 2.4700 (2.5335)	Prec@1 38.672 (38.611)	Prec@5 70.703 (68.430)
Epoch: [79][6930/7045]	Time 0.520 (0.243)	Data 0.469 (0.179)	Loss 2.5948 (2.5335)	Prec@1 36.719 (38.613)	Prec@5 65.625 (68.432)
Epoch: [79][6940/7045]	Time 0.112 (0.243)	Data 0.059 (0.179)	Loss 2.6116 (2.5335)	Prec@1 41.406 (38.615)	Prec@5 66.797 (68.433)
Epoch: [79][6950/7045]	Time 0.595 (0.243)	Data 0.543 (0.179)	Loss 2.3770 (2.5334)	Prec@1 41.797 (38.617)	Prec@5 73.828 (68.433)
Epoch: [79][6960/7045]	Time 0.101 (0.243)	Data 0.001 (0.179)	Loss 2.5830 (2.5335)	Prec@1 33.984 (38.615)	Prec@5 64.844 (68.433)
Epoch: [79][6970/7045]	Time 0.536 (0.243)	Data 0.480 (0.179)	Loss 2.5484 (2.5336)	Prec@1 35.938 (38.613)	Prec@5 70.312 (68.432)
Epoch: [79][6980/7045]	Time 0.102 (0.243)	Data 0.005 (0.179)	Loss 2.2938 (2.5335)	Prec@1 46.484 (38.614)	Prec@5 72.656 (68.433)
Epoch: [79][6990/7045]	Time 0.498 (0.243)	Data 0.446 (0.179)	Loss 2.6159 (2.5335)	Prec@1 37.891 (38.614)	Prec@5 63.672 (68.433)
Epoch: [79][7000/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 2.4598 (2.5335)	Prec@1 42.188 (38.612)	Prec@5 67.578 (68.431)
Epoch: [79][7010/7045]	Time 0.567 (0.243)	Data 0.514 (0.179)	Loss 2.4119 (2.5335)	Prec@1 42.578 (38.614)	Prec@5 67.188 (68.431)
Epoch: [79][7020/7045]	Time 0.103 (0.243)	Data 0.001 (0.179)	Loss 2.4878 (2.5335)	Prec@1 39.844 (38.614)	Prec@5 68.359 (68.431)
Epoch: [79][7030/7045]	Time 0.735 (0.243)	Data 0.682 (0.179)	Loss 2.5679 (2.5335)	Prec@1 37.109 (38.614)	Prec@5 69.922 (68.431)
Epoch: [79][7040/7045]	Time 0.102 (0.243)	Data 0.000 (0.179)	Loss 2.7499 (2.5335)	Prec@1 43.359 (38.616)	Prec@5 64.844 (68.431)
Test: [0/143]	Time 1.175 (1.175)	Loss 2.1726 (2.1726)	Prec@1 48.438 (48.438)	Prec@5 75.000 (75.000)
Test: [10/143]	Time 0.217 (0.253)	Loss 1.6896 (2.0000)	Prec@1 60.156 (49.929)	Prec@5 82.812 (78.800)
Test: [20/143]	Time 0.183 (0.220)	Loss 2.0054 (1.9749)	Prec@1 48.047 (49.126)	Prec@5 80.078 (79.297)
Test: [30/143]	Time 0.111 (0.201)	Loss 2.1958 (2.0052)	Prec@1 49.219 (49.055)	Prec@5 71.094 (78.213)
Test: [40/143]	Time 0.062 (0.197)	Loss 2.6314 (2.0442)	Prec@1 28.906 (48.114)	Prec@5 69.922 (77.468)
Test: [50/143]	Time 0.176 (0.190)	Loss 1.8472 (2.0941)	Prec@1 49.609 (46.561)	Prec@5 82.031 (76.938)
Test: [60/143]	Time 0.055 (0.189)	Loss 2.3079 (2.0809)	Prec@1 36.719 (46.843)	Prec@5 74.609 (77.286)
Test: [70/143]	Time 0.487 (0.190)	Loss 2.8647 (2.0727)	Prec@1 29.688 (47.084)	Prec@5 64.453 (77.613)
Test: [80/143]	Time 0.060 (0.184)	Loss 2.0249 (2.0644)	Prec@1 47.266 (47.256)	Prec@5 80.859 (77.894)
Test: [90/143]	Time 0.115 (0.184)	Loss 1.6279 (2.0540)	Prec@1 59.766 (47.433)	Prec@5 88.281 (78.125)
Test: [100/143]	Time 0.048 (0.182)	Loss 1.8597 (2.0541)	Prec@1 52.344 (47.324)	Prec@5 85.156 (78.202)
Test: [110/143]	Time 0.062 (0.183)	Loss 1.8557 (2.0497)	Prec@1 52.734 (47.572)	Prec@5 80.859 (78.308)
Test: [120/143]	Time 0.670 (0.185)	Loss 1.7697 (2.0438)	Prec@1 56.250 (47.737)	Prec@5 83.984 (78.367)
Test: [130/143]	Time 0.054 (0.181)	Loss 1.5892 (2.0541)	Prec@1 64.453 (47.588)	Prec@5 81.641 (78.128)
Test: [140/143]	Time 0.176 (0.183)	Loss 3.1161 (2.0790)	Prec@1 23.438 (46.972)	Prec@5 63.281 (77.668)
 * Prec@1 46.967 Prec@5 77.671
Epoch: [80][0/7045]	Time 2.324 (2.324)	Data 2.268 (2.268)	Loss 2.4900 (2.4900)	Prec@1 39.453 (39.453)	Prec@5 69.922 (69.922)
Epoch: [80][10/7045]	Time 0.109 (0.412)	Data 0.001 (0.336)	Loss 2.4876 (2.5324)	Prec@1 35.547 (37.784)	Prec@5 67.578 (68.750)
Epoch: [80][20/7045]	Time 0.655 (0.347)	Data 0.602 (0.273)	Loss 2.7549 (2.5313)	Prec@1 33.203 (37.946)	Prec@5 66.016 (68.917)
Epoch: [80][30/7045]	Time 0.120 (0.304)	Data 0.061 (0.232)	Loss 2.4832 (2.5319)	Prec@1 41.406 (38.004)	Prec@5 71.484 (68.838)
Epoch: [80][40/7045]	Time 0.630 (0.296)	Data 0.578 (0.225)	Loss 2.5992 (2.5220)	Prec@1 35.156 (38.462)	Prec@5 65.625 (68.912)
Epoch: [80][50/7045]	Time 0.119 (0.280)	Data 0.060 (0.208)	Loss 2.6370 (2.5178)	Prec@1 36.719 (38.442)	Prec@5 65.625 (68.995)
Epoch: [80][60/7045]	Time 0.597 (0.278)	Data 0.539 (0.207)	Loss 2.5213 (2.5101)	Prec@1 37.891 (38.537)	Prec@5 73.438 (69.217)
Epoch: [80][70/7045]	Time 0.186 (0.270)	Data 0.134 (0.201)	Loss 2.4904 (2.5097)	Prec@1 41.016 (38.540)	Prec@5 69.922 (69.179)
Epoch: [80][80/7045]	Time 0.552 (0.268)	Data 0.500 (0.200)	Loss 2.3951 (2.5171)	Prec@1 41.016 (38.465)	Prec@5 71.484 (68.943)
Epoch: [80][90/7045]	Time 0.200 (0.264)	Data 0.148 (0.196)	Loss 2.3727 (2.5110)	Prec@1 44.531 (38.668)	Prec@5 71.875 (68.990)
Epoch: [80][100/7045]	Time 0.495 (0.262)	Data 0.443 (0.195)	Loss 2.6420 (2.5195)	Prec@1 38.672 (38.598)	Prec@5 64.453 (68.804)
Epoch: [80][110/7045]	Time 0.154 (0.259)	Data 0.102 (0.192)	Loss 2.5007 (2.5174)	Prec@1 42.578 (38.682)	Prec@5 69.141 (68.887)
Epoch: [80][120/7045]	Time 0.392 (0.258)	Data 0.341 (0.191)	Loss 2.4368 (2.5124)	Prec@1 40.625 (38.749)	Prec@5 67.578 (68.921)
Epoch: [80][130/7045]	Time 0.117 (0.256)	Data 0.059 (0.191)	Loss 2.6377 (2.5086)	Prec@1 38.281 (38.940)	Prec@5 66.797 (69.030)
Epoch: [80][140/7045]	Time 0.307 (0.255)	Data 0.255 (0.190)	Loss 2.5153 (2.5123)	Prec@1 33.984 (38.852)	Prec@5 68.750 (68.983)
Epoch: [80][150/7045]	Time 0.110 (0.255)	Data 0.002 (0.190)	Loss 2.4841 (2.5122)	Prec@1 42.188 (38.817)	Prec@5 71.094 (69.042)
Epoch: [80][160/7045]	Time 0.192 (0.253)	Data 0.139 (0.188)	Loss 2.6007 (2.5114)	Prec@1 39.453 (38.847)	Prec@5 65.234 (69.063)
Epoch: [80][170/7045]	Time 0.101 (0.253)	Data 0.004 (0.188)	Loss 2.5751 (2.5086)	Prec@1 38.281 (38.898)	Prec@5 66.016 (69.100)
Epoch: [80][180/7045]	Time 0.213 (0.251)	Data 0.161 (0.187)	Loss 2.6023 (2.5077)	Prec@1 38.672 (38.946)	Prec@5 67.578 (69.130)
Epoch: [80][190/7045]	Time 0.102 (0.251)	Data 0.006 (0.187)	Loss 2.4929 (2.5104)	Prec@1 39.062 (38.844)	Prec@5 68.750 (69.087)
Epoch: [80][200/7045]	Time 0.113 (0.250)	Data 0.060 (0.186)	Loss 2.5717 (2.5099)	Prec@1 33.984 (38.891)	Prec@5 69.141 (69.121)
Epoch: [80][210/7045]	Time 0.101 (0.250)	Data 0.008 (0.186)	Loss 2.3531 (2.5106)	Prec@1 42.578 (38.903)	Prec@5 72.656 (69.091)
Epoch: [80][220/7045]	Time 0.101 (0.249)	Data 0.007 (0.184)	Loss 2.4341 (2.5104)	Prec@1 38.281 (38.921)	Prec@5 73.438 (69.121)
Epoch: [80][230/7045]	Time 0.103 (0.249)	Data 0.002 (0.184)	Loss 2.7464 (2.5114)	Prec@1 32.031 (38.907)	Prec@5 66.016 (69.102)
Epoch: [80][240/7045]	Time 0.102 (0.248)	Data 0.001 (0.183)	Loss 2.5389 (2.5109)	Prec@1 38.281 (38.887)	Prec@5 67.578 (69.069)
Epoch: [80][250/7045]	Time 0.110 (0.249)	Data 0.002 (0.183)	Loss 2.4180 (2.5120)	Prec@1 41.016 (38.879)	Prec@5 69.922 (69.027)
Epoch: [80][260/7045]	Time 0.101 (0.247)	Data 0.045 (0.181)	Loss 2.2877 (2.5143)	Prec@1 43.359 (38.854)	Prec@5 75.391 (68.974)
Epoch: [80][270/7045]	Time 0.109 (0.248)	Data 0.004 (0.182)	Loss 2.4916 (2.5152)	Prec@1 42.969 (38.869)	Prec@5 67.578 (68.937)
Epoch: [80][280/7045]	Time 0.102 (0.247)	Data 0.001 (0.180)	Loss 2.3660 (2.5157)	Prec@1 37.109 (38.822)	Prec@5 68.359 (68.911)
Epoch: [80][290/7045]	Time 0.113 (0.248)	Data 0.060 (0.180)	Loss 2.5464 (2.5157)	Prec@1 41.406 (38.852)	Prec@5 67.188 (68.908)
Epoch: [80][300/7045]	Time 0.103 (0.247)	Data 0.001 (0.178)	Loss 2.3531 (2.5155)	Prec@1 43.359 (38.864)	Prec@5 73.047 (68.914)
Epoch: [80][310/7045]	Time 0.108 (0.247)	Data 0.003 (0.178)	Loss 2.5372 (2.5158)	Prec@1 40.625 (38.859)	Prec@5 66.797 (68.903)
Epoch: [80][320/7045]	Time 0.108 (0.246)	Data 0.054 (0.176)	Loss 2.4912 (2.5175)	Prec@1 36.719 (38.764)	Prec@5 67.578 (68.867)
Epoch: [80][330/7045]	Time 0.102 (0.247)	Data 0.007 (0.177)	Loss 2.4508 (2.5172)	Prec@1 37.891 (38.782)	Prec@5 67.578 (68.840)
Epoch: [80][340/7045]	Time 0.103 (0.246)	Data 0.050 (0.176)	Loss 2.5189 (2.5183)	Prec@1 36.328 (38.775)	Prec@5 68.359 (68.807)
Epoch: [80][350/7045]	Time 0.113 (0.246)	Data 0.060 (0.176)	Loss 2.5651 (2.5185)	Prec@1 36.719 (38.741)	Prec@5 70.703 (68.790)
Epoch: [80][360/7045]	Time 0.111 (0.245)	Data 0.059 (0.176)	Loss 2.2431 (2.5185)	Prec@1 47.266 (38.767)	Prec@5 73.438 (68.824)
Epoch: [80][370/7045]	Time 0.199 (0.246)	Data 0.141 (0.176)	Loss 2.4992 (2.5192)	Prec@1 38.672 (38.756)	Prec@5 69.922 (68.795)
Epoch: [80][380/7045]	Time 0.112 (0.245)	Data 0.059 (0.176)	Loss 2.5975 (2.5194)	Prec@1 40.625 (38.744)	Prec@5 65.234 (68.788)
Epoch: [80][390/7045]	Time 0.315 (0.246)	Data 0.264 (0.176)	Loss 2.5804 (2.5193)	Prec@1 35.547 (38.729)	Prec@5 64.844 (68.779)
Epoch: [80][400/7045]	Time 0.102 (0.245)	Data 0.001 (0.176)	Loss 2.5138 (2.5172)	Prec@1 36.328 (38.766)	Prec@5 71.875 (68.803)
Epoch: [80][410/7045]	Time 0.390 (0.245)	Data 0.338 (0.176)	Loss 2.7480 (2.5176)	Prec@1 33.203 (38.751)	Prec@5 63.672 (68.792)
Epoch: [80][420/7045]	Time 0.102 (0.245)	Data 0.001 (0.176)	Loss 2.6621 (2.5180)	Prec@1 39.844 (38.754)	Prec@5 65.234 (68.778)
Epoch: [80][430/7045]	Time 0.497 (0.245)	Data 0.438 (0.176)	Loss 2.4889 (2.5184)	Prec@1 38.672 (38.733)	Prec@5 67.188 (68.774)
Epoch: [80][440/7045]	Time 0.102 (0.245)	Data 0.003 (0.176)	Loss 2.1955 (2.5174)	Prec@1 44.531 (38.761)	Prec@5 74.219 (68.793)
Epoch: [80][450/7045]	Time 0.479 (0.245)	Data 0.426 (0.176)	Loss 2.4520 (2.5174)	Prec@1 43.359 (38.757)	Prec@5 70.703 (68.790)
Epoch: [80][460/7045]	Time 0.102 (0.244)	Data 0.003 (0.176)	Loss 2.4685 (2.5166)	Prec@1 41.016 (38.770)	Prec@5 69.922 (68.808)
Epoch: [80][470/7045]	Time 0.634 (0.245)	Data 0.582 (0.176)	Loss 2.5007 (2.5167)	Prec@1 39.453 (38.779)	Prec@5 69.922 (68.812)
Epoch: [80][480/7045]	Time 0.107 (0.244)	Data 0.001 (0.175)	Loss 2.4688 (2.5175)	Prec@1 42.969 (38.766)	Prec@5 69.531 (68.790)
Epoch: [80][490/7045]	Time 0.606 (0.245)	Data 0.555 (0.175)	Loss 2.5976 (2.5172)	Prec@1 39.453 (38.765)	Prec@5 67.578 (68.816)
Epoch: [80][500/7045]	Time 0.107 (0.244)	Data 0.001 (0.175)	Loss 2.5034 (2.5178)	Prec@1 39.453 (38.743)	Prec@5 69.922 (68.837)
Epoch: [80][510/7045]	Time 0.633 (0.245)	Data 0.574 (0.175)	Loss 2.6817 (2.5182)	Prec@1 35.156 (38.728)	Prec@5 63.672 (68.815)
Epoch: [80][520/7045]	Time 0.101 (0.244)	Data 0.005 (0.174)	Loss 2.4731 (2.5190)	Prec@1 40.234 (38.715)	Prec@5 67.188 (68.802)
Epoch: [80][530/7045]	Time 0.714 (0.245)	Data 0.661 (0.175)	Loss 2.6291 (2.5192)	Prec@1 39.062 (38.727)	Prec@5 68.359 (68.792)
Epoch: [80][540/7045]	Time 0.109 (0.244)	Data 0.001 (0.173)	Loss 2.5162 (2.5196)	Prec@1 39.453 (38.718)	Prec@5 70.703 (68.794)
Epoch: [80][550/7045]	Time 0.548 (0.244)	Data 0.496 (0.174)	Loss 2.3871 (2.5201)	Prec@1 41.016 (38.722)	Prec@5 71.094 (68.788)
Epoch: [80][560/7045]	Time 0.102 (0.244)	Data 0.001 (0.173)	Loss 2.5323 (2.5196)	Prec@1 36.328 (38.736)	Prec@5 67.578 (68.793)
Epoch: [80][570/7045]	Time 0.629 (0.244)	Data 0.578 (0.173)	Loss 2.4055 (2.5189)	Prec@1 38.672 (38.744)	Prec@5 70.312 (68.805)
Epoch: [80][580/7045]	Time 0.109 (0.244)	Data 0.007 (0.173)	Loss 2.7101 (2.5196)	Prec@1 33.984 (38.717)	Prec@5 66.797 (68.788)
Epoch: [80][590/7045]	Time 0.596 (0.244)	Data 0.535 (0.173)	Loss 2.3581 (2.5200)	Prec@1 44.141 (38.719)	Prec@5 72.266 (68.778)
Epoch: [80][600/7045]	Time 0.102 (0.243)	Data 0.001 (0.172)	Loss 2.4136 (2.5190)	Prec@1 42.188 (38.722)	Prec@5 72.656 (68.799)
Epoch: [80][610/7045]	Time 0.548 (0.244)	Data 0.495 (0.173)	Loss 2.6406 (2.5188)	Prec@1 36.719 (38.741)	Prec@5 68.750 (68.808)
Epoch: [80][620/7045]	Time 0.102 (0.243)	Data 0.046 (0.173)	Loss 2.4839 (2.5188)	Prec@1 37.500 (38.738)	Prec@5 70.703 (68.805)
Epoch: [80][630/7045]	Time 0.510 (0.243)	Data 0.458 (0.173)	Loss 2.6335 (2.5195)	Prec@1 31.641 (38.718)	Prec@5 62.891 (68.795)
Epoch: [80][640/7045]	Time 0.102 (0.243)	Data 0.046 (0.173)	Loss 2.4973 (2.5204)	Prec@1 39.453 (38.709)	Prec@5 70.703 (68.785)
Epoch: [80][650/7045]	Time 0.418 (0.243)	Data 0.367 (0.173)	Loss 2.3711 (2.5199)	Prec@1 39.453 (38.725)	Prec@5 70.312 (68.789)
Epoch: [80][660/7045]	Time 0.176 (0.243)	Data 0.123 (0.174)	Loss 2.5832 (2.5211)	Prec@1 40.234 (38.707)	Prec@5 67.578 (68.754)
Epoch: [80][670/7045]	Time 0.298 (0.243)	Data 0.247 (0.174)	Loss 2.6522 (2.5214)	Prec@1 35.938 (38.689)	Prec@5 64.453 (68.744)
Epoch: [80][680/7045]	Time 0.234 (0.243)	Data 0.182 (0.174)	Loss 2.3486 (2.5218)	Prec@1 41.797 (38.695)	Prec@5 71.094 (68.730)
Epoch: [80][690/7045]	Time 0.209 (0.243)	Data 0.158 (0.174)	Loss 2.5361 (2.5215)	Prec@1 38.672 (38.716)	Prec@5 66.016 (68.744)
Epoch: [80][700/7045]	Time 0.264 (0.243)	Data 0.212 (0.174)	Loss 2.5301 (2.5217)	Prec@1 37.109 (38.716)	Prec@5 69.141 (68.737)
Epoch: [80][710/7045]	Time 0.158 (0.243)	Data 0.105 (0.174)	Loss 2.6458 (2.5222)	Prec@1 33.984 (38.716)	Prec@5 67.969 (68.720)
Epoch: [80][720/7045]	Time 0.258 (0.243)	Data 0.205 (0.174)	Loss 2.5072 (2.5219)	Prec@1 37.109 (38.726)	Prec@5 68.359 (68.721)
Epoch: [80][730/7045]	Time 0.102 (0.243)	Data 0.050 (0.174)	Loss 2.5910 (2.5210)	Prec@1 37.891 (38.733)	Prec@5 68.359 (68.745)
Epoch: [80][740/7045]	Time 0.146 (0.243)	Data 0.093 (0.174)	Loss 2.6502 (2.5222)	Prec@1 35.547 (38.693)	Prec@5 67.188 (68.737)
Epoch: [80][750/7045]	Time 0.102 (0.242)	Data 0.001 (0.174)	Loss 2.7928 (2.5222)	Prec@1 31.641 (38.686)	Prec@5 59.766 (68.739)
Epoch: [80][760/7045]	Time 0.175 (0.243)	Data 0.123 (0.174)	Loss 2.3214 (2.5219)	Prec@1 42.969 (38.693)	Prec@5 73.047 (68.751)
Epoch: [80][770/7045]	Time 0.102 (0.242)	Data 0.001 (0.174)	Loss 2.3447 (2.5205)	Prec@1 42.188 (38.717)	Prec@5 74.609 (68.775)
Epoch: [80][780/7045]	Time 0.160 (0.243)	Data 0.108 (0.174)	Loss 2.6183 (2.5215)	Prec@1 35.547 (38.703)	Prec@5 67.578 (68.756)
Epoch: [80][790/7045]	Time 0.102 (0.242)	Data 0.001 (0.173)	Loss 2.4237 (2.5211)	Prec@1 40.625 (38.716)	Prec@5 68.359 (68.753)
Epoch: [80][800/7045]	Time 0.108 (0.243)	Data 0.001 (0.173)	Loss 2.6281 (2.5205)	Prec@1 37.891 (38.741)	Prec@5 66.406 (68.764)
Epoch: [80][810/7045]	Time 0.103 (0.242)	Data 0.001 (0.173)	Loss 2.6089 (2.5211)	Prec@1 36.719 (38.733)	Prec@5 64.453 (68.742)
Epoch: [80][820/7045]	Time 0.102 (0.243)	Data 0.004 (0.173)	Loss 2.5693 (2.5212)	Prec@1 40.625 (38.733)	Prec@5 69.141 (68.743)
Epoch: [80][830/7045]	Time 0.102 (0.242)	Data 0.001 (0.173)	Loss 2.6164 (2.5211)	Prec@1 35.547 (38.741)	Prec@5 69.531 (68.746)
Epoch: [80][840/7045]	Time 0.112 (0.242)	Data 0.060 (0.173)	Loss 2.8453 (2.5215)	Prec@1 29.688 (38.739)	Prec@5 60.547 (68.725)
Epoch: [80][850/7045]	Time 0.103 (0.242)	Data 0.001 (0.173)	Loss 2.6417 (2.5219)	Prec@1 39.062 (38.747)	Prec@5 66.797 (68.723)
Epoch: [80][860/7045]	Time 0.155 (0.242)	Data 0.104 (0.173)	Loss 2.5524 (2.5219)	Prec@1 35.938 (38.746)	Prec@5 64.453 (68.714)
Epoch: [80][870/7045]	Time 0.102 (0.242)	Data 0.001 (0.173)	Loss 2.4628 (2.5215)	Prec@1 39.844 (38.748)	Prec@5 73.047 (68.719)
Epoch: [80][880/7045]	Time 0.187 (0.242)	Data 0.135 (0.173)	Loss 2.4749 (2.5223)	Prec@1 41.016 (38.748)	Prec@5 68.750 (68.700)
Epoch: [80][890/7045]	Time 0.101 (0.242)	Data 0.046 (0.173)	Loss 2.5523 (2.5219)	Prec@1 39.062 (38.742)	Prec@5 70.312 (68.715)
Epoch: [80][900/7045]	Time 0.215 (0.242)	Data 0.164 (0.173)	Loss 2.6225 (2.5229)	Prec@1 39.453 (38.718)	Prec@5 67.969 (68.701)
Epoch: [80][910/7045]	Time 0.103 (0.242)	Data 0.001 (0.173)	Loss 2.8931 (2.5230)	Prec@1 30.469 (38.730)	Prec@5 60.547 (68.708)
Epoch: [80][920/7045]	Time 0.233 (0.242)	Data 0.180 (0.173)	Loss 2.2150 (2.5227)	Prec@1 48.047 (38.722)	Prec@5 73.828 (68.716)
Epoch: [80][930/7045]	Time 0.103 (0.242)	Data 0.002 (0.173)	Loss 2.5497 (2.5216)	Prec@1 39.844 (38.752)	Prec@5 70.703 (68.742)
Epoch: [80][940/7045]	Time 0.289 (0.242)	Data 0.238 (0.173)	Loss 2.5709 (2.5220)	Prec@1 38.281 (38.753)	Prec@5 67.969 (68.731)
Epoch: [80][950/7045]	Time 0.108 (0.242)	Data 0.004 (0.173)	Loss 2.6666 (2.5220)	Prec@1 34.375 (38.745)	Prec@5 62.109 (68.729)
Epoch: [80][960/7045]	Time 0.284 (0.242)	Data 0.232 (0.173)	Loss 2.6147 (2.5224)	Prec@1 37.891 (38.732)	Prec@5 65.234 (68.720)
Epoch: [80][970/7045]	Time 0.109 (0.242)	Data 0.005 (0.173)	Loss 2.4764 (2.5222)	Prec@1 36.719 (38.736)	Prec@5 71.875 (68.723)
Epoch: [80][980/7045]	Time 0.349 (0.242)	Data 0.297 (0.173)	Loss 2.6345 (2.5221)	Prec@1 32.422 (38.731)	Prec@5 66.406 (68.727)
Epoch: [80][990/7045]	Time 0.103 (0.242)	Data 0.004 (0.173)	Loss 2.3949 (2.5220)	Prec@1 39.062 (38.722)	Prec@5 70.312 (68.736)
Epoch: [80][1000/7045]	Time 0.333 (0.242)	Data 0.281 (0.173)	Loss 2.4164 (2.5221)	Prec@1 41.016 (38.714)	Prec@5 73.438 (68.740)
Epoch: [80][1010/7045]	Time 0.102 (0.242)	Data 0.002 (0.173)	Loss 2.3189 (2.5218)	Prec@1 44.141 (38.720)	Prec@5 71.875 (68.743)
Epoch: [80][1020/7045]	Time 0.338 (0.242)	Data 0.285 (0.173)	Loss 2.7669 (2.5219)	Prec@1 33.203 (38.721)	Prec@5 65.625 (68.752)
Epoch: [80][1030/7045]	Time 0.102 (0.242)	Data 0.006 (0.173)	Loss 2.3782 (2.5216)	Prec@1 41.406 (38.735)	Prec@5 71.094 (68.753)
Epoch: [80][1040/7045]	Time 0.405 (0.242)	Data 0.353 (0.173)	Loss 2.4629 (2.5217)	Prec@1 41.797 (38.742)	Prec@5 69.141 (68.739)
Epoch: [80][1050/7045]	Time 0.112 (0.242)	Data 0.060 (0.173)	Loss 2.6376 (2.5212)	Prec@1 35.547 (38.752)	Prec@5 64.453 (68.745)
Epoch: [80][1060/7045]	Time 0.456 (0.242)	Data 0.404 (0.173)	Loss 2.6462 (2.5214)	Prec@1 38.281 (38.746)	Prec@5 64.453 (68.743)
Epoch: [80][1070/7045]	Time 0.259 (0.242)	Data 0.207 (0.173)	Loss 2.3316 (2.5214)	Prec@1 39.844 (38.735)	Prec@5 69.531 (68.743)
Epoch: [80][1080/7045]	Time 0.368 (0.242)	Data 0.315 (0.173)	Loss 2.3330 (2.5212)	Prec@1 38.281 (38.733)	Prec@5 72.266 (68.748)
Epoch: [80][1090/7045]	Time 0.243 (0.242)	Data 0.191 (0.173)	Loss 2.5264 (2.5211)	Prec@1 40.625 (38.723)	Prec@5 69.531 (68.753)
Epoch: [80][1100/7045]	Time 0.424 (0.242)	Data 0.371 (0.173)	Loss 2.4898 (2.5210)	Prec@1 39.062 (38.724)	Prec@5 72.656 (68.760)
Epoch: [80][1110/7045]	Time 0.371 (0.242)	Data 0.319 (0.173)	Loss 2.5626 (2.5209)	Prec@1 38.672 (38.720)	Prec@5 69.531 (68.753)
Epoch: [80][1120/7045]	Time 0.475 (0.242)	Data 0.422 (0.173)	Loss 2.6484 (2.5213)	Prec@1 34.375 (38.718)	Prec@5 66.797 (68.742)
Epoch: [80][1130/7045]	Time 0.203 (0.242)	Data 0.151 (0.173)	Loss 2.6139 (2.5213)	Prec@1 37.500 (38.719)	Prec@5 67.578 (68.747)
Epoch: [80][1140/7045]	Time 0.460 (0.242)	Data 0.401 (0.173)	Loss 2.3650 (2.5211)	Prec@1 42.969 (38.733)	Prec@5 69.531 (68.740)
Epoch: [80][1150/7045]	Time 0.321 (0.242)	Data 0.263 (0.173)	Loss 2.5780 (2.5212)	Prec@1 35.938 (38.723)	Prec@5 70.703 (68.742)
Epoch: [80][1160/7045]	Time 0.386 (0.242)	Data 0.334 (0.173)	Loss 2.4709 (2.5211)	Prec@1 41.016 (38.728)	Prec@5 67.578 (68.744)
Epoch: [80][1170/7045]	Time 0.504 (0.242)	Data 0.451 (0.173)	Loss 2.5374 (2.5214)	Prec@1 40.625 (38.729)	Prec@5 68.750 (68.738)
Epoch: [80][1180/7045]	Time 0.222 (0.241)	Data 0.170 (0.173)	Loss 2.5663 (2.5212)	Prec@1 36.328 (38.732)	Prec@5 66.016 (68.739)
Epoch: [80][1190/7045]	Time 0.410 (0.242)	Data 0.358 (0.173)	Loss 2.4529 (2.5211)	Prec@1 41.016 (38.733)	Prec@5 67.969 (68.735)
Epoch: [80][1200/7045]	Time 0.141 (0.241)	Data 0.088 (0.173)	Loss 2.5624 (2.5208)	Prec@1 40.625 (38.738)	Prec@5 70.312 (68.739)
Epoch: [80][1210/7045]	Time 0.398 (0.242)	Data 0.346 (0.174)	Loss 2.6995 (2.5210)	Prec@1 37.891 (38.736)	Prec@5 65.625 (68.740)
Epoch: [80][1220/7045]	Time 0.102 (0.241)	Data 0.003 (0.173)	Loss 2.4213 (2.5208)	Prec@1 40.234 (38.735)	Prec@5 74.609 (68.744)
Epoch: [80][1230/7045]	Time 0.314 (0.242)	Data 0.262 (0.174)	Loss 2.5883 (2.5205)	Prec@1 37.891 (38.747)	Prec@5 68.750 (68.748)
Epoch: [80][1240/7045]	Time 0.101 (0.241)	Data 0.004 (0.173)	Loss 2.6561 (2.5204)	Prec@1 35.156 (38.752)	Prec@5 67.969 (68.758)
Epoch: [80][1250/7045]	Time 0.352 (0.242)	Data 0.295 (0.174)	Loss 2.6445 (2.5202)	Prec@1 39.453 (38.755)	Prec@5 64.844 (68.765)
Epoch: [80][1260/7045]	Time 0.102 (0.241)	Data 0.001 (0.173)	Loss 2.3732 (2.5200)	Prec@1 41.016 (38.762)	Prec@5 72.656 (68.765)
Epoch: [80][1270/7045]	Time 0.426 (0.242)	Data 0.374 (0.174)	Loss 2.5025 (2.5208)	Prec@1 39.062 (38.749)	Prec@5 69.531 (68.752)
Epoch: [80][1280/7045]	Time 0.103 (0.241)	Data 0.004 (0.173)	Loss 2.3678 (2.5205)	Prec@1 39.062 (38.754)	Prec@5 72.656 (68.759)
Epoch: [80][1290/7045]	Time 0.337 (0.241)	Data 0.278 (0.173)	Loss 2.4717 (2.5203)	Prec@1 40.234 (38.752)	Prec@5 71.094 (68.764)
Epoch: [80][1300/7045]	Time 0.102 (0.241)	Data 0.003 (0.173)	Loss 2.5394 (2.5202)	Prec@1 42.188 (38.753)	Prec@5 66.016 (68.767)
Epoch: [80][1310/7045]	Time 0.264 (0.241)	Data 0.212 (0.173)	Loss 2.5225 (2.5203)	Prec@1 39.844 (38.755)	Prec@5 65.625 (68.771)
Epoch: [80][1320/7045]	Time 0.107 (0.241)	Data 0.054 (0.173)	Loss 2.6613 (2.5207)	Prec@1 37.500 (38.742)	Prec@5 67.578 (68.765)
Epoch: [80][1330/7045]	Time 0.184 (0.241)	Data 0.132 (0.173)	Loss 2.6868 (2.5211)	Prec@1 34.375 (38.726)	Prec@5 63.672 (68.758)
Epoch: [80][1340/7045]	Time 0.101 (0.241)	Data 0.003 (0.173)	Loss 2.5483 (2.5210)	Prec@1 34.375 (38.722)	Prec@5 66.406 (68.760)
Epoch: [80][1350/7045]	Time 0.102 (0.241)	Data 0.047 (0.174)	Loss 2.4573 (2.5212)	Prec@1 35.938 (38.717)	Prec@5 71.484 (68.756)
Epoch: [80][1360/7045]	Time 0.107 (0.241)	Data 0.053 (0.173)	Loss 2.5901 (2.5211)	Prec@1 40.234 (38.720)	Prec@5 66.797 (68.755)
Epoch: [80][1370/7045]	Time 0.102 (0.241)	Data 0.005 (0.174)	Loss 2.5337 (2.5212)	Prec@1 40.625 (38.724)	Prec@5 65.234 (68.752)
Epoch: [80][1380/7045]	Time 0.102 (0.241)	Data 0.003 (0.173)	Loss 2.5484 (2.5212)	Prec@1 35.156 (38.717)	Prec@5 70.312 (68.753)
Epoch: [80][1390/7045]	Time 0.102 (0.241)	Data 0.001 (0.173)	Loss 2.6632 (2.5215)	Prec@1 38.281 (38.720)	Prec@5 65.234 (68.742)
Epoch: [80][1400/7045]	Time 0.112 (0.241)	Data 0.059 (0.173)	Loss 2.6108 (2.5214)	Prec@1 36.719 (38.717)	Prec@5 70.312 (68.749)
Epoch: [80][1410/7045]	Time 0.102 (0.241)	Data 0.001 (0.173)	Loss 2.5542 (2.5212)	Prec@1 34.375 (38.709)	Prec@5 65.234 (68.743)
Epoch: [80][1420/7045]	Time 0.108 (0.241)	Data 0.055 (0.173)	Loss 2.5540 (2.5214)	Prec@1 39.062 (38.705)	Prec@5 66.406 (68.741)
Epoch: [80][1430/7045]	Time 0.102 (0.241)	Data 0.004 (0.173)	Loss 2.5849 (2.5213)	Prec@1 37.500 (38.704)	Prec@5 70.312 (68.743)
Epoch: [80][1440/7045]	Time 0.102 (0.241)	Data 0.004 (0.173)	Loss 2.6392 (2.5215)	Prec@1 35.156 (38.703)	Prec@5 66.016 (68.735)
Epoch: [80][1450/7045]	Time 0.107 (0.241)	Data 0.054 (0.173)	Loss 2.4305 (2.5215)	Prec@1 37.109 (38.698)	Prec@5 69.531 (68.729)
Epoch: [80][1460/7045]	Time 0.109 (0.241)	Data 0.005 (0.173)	Loss 2.5190 (2.5215)	Prec@1 39.844 (38.703)	Prec@5 68.359 (68.726)
Epoch: [80][1470/7045]	Time 0.102 (0.241)	Data 0.001 (0.173)	Loss 2.6053 (2.5216)	Prec@1 40.625 (38.701)	Prec@5 67.188 (68.725)
Epoch: [80][1480/7045]	Time 0.102 (0.241)	Data 0.005 (0.173)	Loss 2.6767 (2.5216)	Prec@1 35.938 (38.704)	Prec@5 66.016 (68.721)
Epoch: [80][1490/7045]	Time 0.103 (0.241)	Data 0.050 (0.173)	Loss 2.4739 (2.5220)	Prec@1 43.750 (38.708)	Prec@5 70.312 (68.719)
Epoch: [80][1500/7045]	Time 0.102 (0.241)	Data 0.001 (0.173)	Loss 2.4706 (2.5217)	Prec@1 38.672 (38.706)	Prec@5 66.016 (68.721)
Epoch: [80][1510/7045]	Time 0.175 (0.241)	Data 0.123 (0.173)	Loss 2.4475 (2.5218)	Prec@1 38.672 (38.704)	Prec@5 70.312 (68.720)
Epoch: [80][1520/7045]	Time 0.101 (0.241)	Data 0.046 (0.173)	Loss 2.5853 (2.5217)	Prec@1 37.109 (38.710)	Prec@5 64.453 (68.720)
Epoch: [80][1530/7045]	Time 0.263 (0.241)	Data 0.211 (0.173)	Loss 2.3772 (2.5213)	Prec@1 43.750 (38.721)	Prec@5 72.266 (68.726)
Epoch: [80][1540/7045]	Time 0.103 (0.241)	Data 0.049 (0.173)	Loss 2.4808 (2.5215)	Prec@1 39.453 (38.714)	Prec@5 68.750 (68.719)
Epoch: [80][1550/7045]	Time 0.242 (0.241)	Data 0.191 (0.173)	Loss 2.5338 (2.5216)	Prec@1 40.234 (38.719)	Prec@5 69.922 (68.712)
Epoch: [80][1560/7045]	Time 0.199 (0.241)	Data 0.146 (0.173)	Loss 2.4820 (2.5220)	Prec@1 36.719 (38.721)	Prec@5 68.750 (68.707)
Epoch: [80][1570/7045]	Time 0.266 (0.241)	Data 0.214 (0.173)	Loss 2.4238 (2.5219)	Prec@1 44.141 (38.724)	Prec@5 69.922 (68.715)
Epoch: [80][1580/7045]	Time 0.213 (0.241)	Data 0.162 (0.173)	Loss 2.4270 (2.5217)	Prec@1 39.062 (38.727)	Prec@5 69.531 (68.722)
Epoch: [80][1590/7045]	Time 0.248 (0.241)	Data 0.195 (0.173)	Loss 2.7398 (2.5220)	Prec@1 34.766 (38.723)	Prec@5 65.234 (68.711)
Epoch: [80][1600/7045]	Time 0.289 (0.241)	Data 0.238 (0.173)	Loss 2.4316 (2.5218)	Prec@1 41.016 (38.731)	Prec@5 72.266 (68.713)
Epoch: [80][1610/7045]	Time 0.291 (0.241)	Data 0.239 (0.173)	Loss 2.5487 (2.5215)	Prec@1 38.672 (38.739)	Prec@5 69.531 (68.717)
Epoch: [80][1620/7045]	Time 0.345 (0.241)	Data 0.292 (0.173)	Loss 2.5291 (2.5216)	Prec@1 38.672 (38.738)	Prec@5 67.188 (68.720)
Epoch: [80][1630/7045]	Time 0.351 (0.241)	Data 0.300 (0.174)	Loss 2.4244 (2.5216)	Prec@1 38.672 (38.739)	Prec@5 68.359 (68.719)
Epoch: [80][1640/7045]	Time 0.359 (0.241)	Data 0.308 (0.174)	Loss 2.5258 (2.5213)	Prec@1 35.547 (38.745)	Prec@5 70.312 (68.730)
Epoch: [80][1650/7045]	Time 0.313 (0.241)	Data 0.261 (0.174)	Loss 2.4643 (2.5214)	Prec@1 41.797 (38.743)	Prec@5 69.141 (68.722)
Epoch: [80][1660/7045]	Time 0.403 (0.241)	Data 0.350 (0.174)	Loss 2.6533 (2.5217)	Prec@1 35.938 (38.741)	Prec@5 63.281 (68.713)
Epoch: [80][1670/7045]	Time 0.326 (0.241)	Data 0.268 (0.174)	Loss 2.5271 (2.5219)	Prec@1 38.281 (38.734)	Prec@5 65.234 (68.709)
Epoch: [80][1680/7045]	Time 0.396 (0.241)	Data 0.344 (0.174)	Loss 2.3189 (2.5222)	Prec@1 41.406 (38.720)	Prec@5 73.828 (68.709)
Epoch: [80][1690/7045]	Time 0.228 (0.241)	Data 0.176 (0.174)	Loss 2.2881 (2.5219)	Prec@1 43.750 (38.728)	Prec@5 75.781 (68.720)
Epoch: [80][1700/7045]	Time 0.388 (0.241)	Data 0.337 (0.174)	Loss 2.6796 (2.5219)	Prec@1 33.984 (38.727)	Prec@5 63.672 (68.713)
Epoch: [80][1710/7045]	Time 0.122 (0.241)	Data 0.070 (0.174)	Loss 2.3010 (2.5213)	Prec@1 46.094 (38.741)	Prec@5 76.172 (68.726)
Epoch: [80][1720/7045]	Time 0.344 (0.241)	Data 0.292 (0.174)	Loss 2.5286 (2.5212)	Prec@1 36.719 (38.737)	Prec@5 67.188 (68.726)
Epoch: [80][1730/7045]	Time 0.102 (0.241)	Data 0.001 (0.174)	Loss 2.4725 (2.5211)	Prec@1 38.281 (38.740)	Prec@5 71.875 (68.727)
Epoch: [80][1740/7045]	Time 0.457 (0.241)	Data 0.397 (0.174)	Loss 2.4981 (2.5208)	Prec@1 38.281 (38.745)	Prec@5 71.094 (68.733)
Epoch: [80][1750/7045]	Time 0.102 (0.241)	Data 0.004 (0.174)	Loss 2.6133 (2.5207)	Prec@1 39.844 (38.750)	Prec@5 65.625 (68.735)
Epoch: [80][1760/7045]	Time 0.392 (0.241)	Data 0.333 (0.174)	Loss 2.5348 (2.5209)	Prec@1 36.328 (38.748)	Prec@5 70.703 (68.737)
Epoch: [80][1770/7045]	Time 0.188 (0.241)	Data 0.136 (0.174)	Loss 2.6470 (2.5210)	Prec@1 37.891 (38.750)	Prec@5 65.625 (68.736)
Epoch: [80][1780/7045]	Time 0.407 (0.241)	Data 0.356 (0.174)	Loss 2.5210 (2.5211)	Prec@1 40.234 (38.749)	Prec@5 70.312 (68.734)
Epoch: [80][1790/7045]	Time 0.196 (0.241)	Data 0.143 (0.174)	Loss 2.4973 (2.5210)	Prec@1 38.281 (38.740)	Prec@5 69.922 (68.736)
Epoch: [80][1800/7045]	Time 0.416 (0.241)	Data 0.365 (0.174)	Loss 2.5964 (2.5211)	Prec@1 39.453 (38.746)	Prec@5 65.234 (68.733)
Epoch: [80][1810/7045]	Time 0.191 (0.241)	Data 0.139 (0.174)	Loss 2.4192 (2.5214)	Prec@1 41.406 (38.744)	Prec@5 69.141 (68.725)
Epoch: [80][1820/7045]	Time 0.322 (0.241)	Data 0.270 (0.174)	Loss 2.5646 (2.5220)	Prec@1 35.938 (38.730)	Prec@5 66.797 (68.708)
Epoch: [80][1830/7045]	Time 0.282 (0.241)	Data 0.230 (0.174)	Loss 2.3221 (2.5214)	Prec@1 40.625 (38.740)	Prec@5 74.609 (68.723)
Epoch: [80][1840/7045]	Time 0.322 (0.241)	Data 0.263 (0.174)	Loss 2.2976 (2.5212)	Prec@1 42.969 (38.741)	Prec@5 73.047 (68.726)
Epoch: [80][1850/7045]	Time 0.404 (0.241)	Data 0.352 (0.174)	Loss 2.5060 (2.5212)	Prec@1 36.719 (38.744)	Prec@5 69.531 (68.721)
Epoch: [80][1860/7045]	Time 0.215 (0.241)	Data 0.163 (0.174)	Loss 2.6107 (2.5217)	Prec@1 38.281 (38.735)	Prec@5 64.453 (68.715)
Epoch: [80][1870/7045]	Time 0.509 (0.241)	Data 0.457 (0.174)	Loss 2.3870 (2.5215)	Prec@1 38.672 (38.737)	Prec@5 70.312 (68.715)
Epoch: [80][1880/7045]	Time 0.135 (0.241)	Data 0.083 (0.174)	Loss 2.7079 (2.5214)	Prec@1 38.672 (38.741)	Prec@5 61.719 (68.718)
Epoch: [80][1890/7045]	Time 0.489 (0.241)	Data 0.438 (0.174)	Loss 2.5185 (2.5211)	Prec@1 37.109 (38.744)	Prec@5 70.703 (68.724)
Epoch: [80][1900/7045]	Time 0.102 (0.241)	Data 0.005 (0.174)	Loss 2.5928 (2.5213)	Prec@1 36.719 (38.736)	Prec@5 62.891 (68.719)
Epoch: [80][1910/7045]	Time 0.485 (0.241)	Data 0.433 (0.175)	Loss 2.3754 (2.5214)	Prec@1 43.359 (38.736)	Prec@5 73.438 (68.722)
Epoch: [80][1920/7045]	Time 0.102 (0.241)	Data 0.004 (0.174)	Loss 2.3615 (2.5217)	Prec@1 41.797 (38.733)	Prec@5 73.047 (68.721)
Epoch: [80][1930/7045]	Time 0.441 (0.241)	Data 0.388 (0.174)	Loss 2.4795 (2.5217)	Prec@1 37.891 (38.733)	Prec@5 70.312 (68.719)
Epoch: [80][1940/7045]	Time 0.111 (0.241)	Data 0.060 (0.174)	Loss 2.4907 (2.5219)	Prec@1 37.109 (38.728)	Prec@5 75.000 (68.719)
Epoch: [80][1950/7045]	Time 0.432 (0.241)	Data 0.380 (0.175)	Loss 2.5256 (2.5220)	Prec@1 39.453 (38.729)	Prec@5 65.625 (68.714)
Epoch: [80][1960/7045]	Time 0.293 (0.241)	Data 0.241 (0.175)	Loss 2.4343 (2.5221)	Prec@1 42.969 (38.736)	Prec@5 74.219 (68.717)
Epoch: [80][1970/7045]	Time 0.349 (0.241)	Data 0.297 (0.175)	Loss 2.4545 (2.5223)	Prec@1 37.500 (38.732)	Prec@5 71.875 (68.714)
Epoch: [80][1980/7045]	Time 0.361 (0.241)	Data 0.308 (0.175)	Loss 2.5995 (2.5224)	Prec@1 35.547 (38.731)	Prec@5 67.188 (68.710)
Epoch: [80][1990/7045]	Time 0.335 (0.241)	Data 0.279 (0.175)	Loss 2.4845 (2.5225)	Prec@1 39.062 (38.727)	Prec@5 70.312 (68.707)
Epoch: [80][2000/7045]	Time 0.351 (0.241)	Data 0.300 (0.175)	Loss 2.4631 (2.5226)	Prec@1 38.281 (38.719)	Prec@5 68.359 (68.705)
Epoch: [80][2010/7045]	Time 0.236 (0.241)	Data 0.177 (0.175)	Loss 2.3991 (2.5228)	Prec@1 42.578 (38.716)	Prec@5 75.781 (68.700)
Epoch: [80][2020/7045]	Time 0.373 (0.241)	Data 0.321 (0.175)	Loss 2.6001 (2.5230)	Prec@1 32.422 (38.711)	Prec@5 68.359 (68.697)
Epoch: [80][2030/7045]	Time 0.118 (0.241)	Data 0.060 (0.175)	Loss 2.3368 (2.5230)	Prec@1 42.578 (38.711)	Prec@5 69.531 (68.695)
Epoch: [80][2040/7045]	Time 0.277 (0.241)	Data 0.225 (0.175)	Loss 2.4315 (2.5233)	Prec@1 40.625 (38.708)	Prec@5 71.875 (68.689)
Epoch: [80][2050/7045]	Time 0.095 (0.241)	Data 0.001 (0.175)	Loss 2.5943 (2.5234)	Prec@1 36.328 (38.709)	Prec@5 70.703 (68.692)
Epoch: [80][2060/7045]	Time 0.273 (0.241)	Data 0.220 (0.175)	Loss 2.5077 (2.5235)	Prec@1 35.938 (38.705)	Prec@5 70.312 (68.687)
Epoch: [80][2070/7045]	Time 0.108 (0.241)	Data 0.001 (0.175)	Loss 2.4967 (2.5237)	Prec@1 42.578 (38.701)	Prec@5 71.094 (68.690)
Epoch: [80][2080/7045]	Time 0.245 (0.241)	Data 0.192 (0.175)	Loss 2.3374 (2.5239)	Prec@1 39.453 (38.698)	Prec@5 72.266 (68.683)
Epoch: [80][2090/7045]	Time 0.108 (0.241)	Data 0.057 (0.175)	Loss 2.5205 (2.5240)	Prec@1 40.625 (38.696)	Prec@5 68.750 (68.678)
Epoch: [80][2100/7045]	Time 0.106 (0.241)	Data 0.052 (0.175)	Loss 2.3575 (2.5237)	Prec@1 40.625 (38.703)	Prec@5 70.312 (68.681)
Epoch: [80][2110/7045]	Time 0.157 (0.241)	Data 0.106 (0.175)	Loss 2.4492 (2.5238)	Prec@1 41.406 (38.703)	Prec@5 68.750 (68.678)
Epoch: [80][2120/7045]	Time 0.102 (0.241)	Data 0.001 (0.175)	Loss 2.4293 (2.5235)	Prec@1 41.406 (38.705)	Prec@5 67.188 (68.677)
Epoch: [80][2130/7045]	Time 0.140 (0.241)	Data 0.088 (0.175)	Loss 2.4886 (2.5236)	Prec@1 36.328 (38.696)	Prec@5 71.875 (68.676)
Epoch: [80][2140/7045]	Time 0.265 (0.241)	Data 0.212 (0.175)	Loss 2.4772 (2.5233)	Prec@1 39.453 (38.698)	Prec@5 71.094 (68.682)
Epoch: [80][2150/7045]	Time 0.111 (0.241)	Data 0.059 (0.175)	Loss 2.4315 (2.5231)	Prec@1 41.406 (38.698)	Prec@5 69.531 (68.686)
Epoch: [80][2160/7045]	Time 0.372 (0.241)	Data 0.320 (0.175)	Loss 2.5521 (2.5231)	Prec@1 37.500 (38.701)	Prec@5 68.359 (68.689)
Epoch: [80][2170/7045]	Time 0.102 (0.241)	Data 0.004 (0.175)	Loss 2.6910 (2.5236)	Prec@1 36.328 (38.696)	Prec@5 63.672 (68.677)
Epoch: [80][2180/7045]	Time 0.467 (0.241)	Data 0.413 (0.175)	Loss 2.6090 (2.5236)	Prec@1 36.719 (38.696)	Prec@5 70.312 (68.678)
Epoch: [80][2190/7045]	Time 0.102 (0.241)	Data 0.001 (0.175)	Loss 2.5367 (2.5235)	Prec@1 39.453 (38.700)	Prec@5 67.578 (68.682)
Epoch: [80][2200/7045]	Time 0.482 (0.241)	Data 0.429 (0.175)	Loss 2.3824 (2.5235)	Prec@1 48.047 (38.705)	Prec@5 70.703 (68.680)
Epoch: [80][2210/7045]	Time 0.111 (0.241)	Data 0.060 (0.175)	Loss 2.3936 (2.5235)	Prec@1 42.969 (38.707)	Prec@5 69.922 (68.678)
Epoch: [80][2220/7045]	Time 0.499 (0.241)	Data 0.448 (0.175)	Loss 2.4893 (2.5235)	Prec@1 39.062 (38.701)	Prec@5 67.578 (68.676)
Epoch: [80][2230/7045]	Time 0.180 (0.241)	Data 0.128 (0.175)	Loss 2.6359 (2.5234)	Prec@1 35.156 (38.701)	Prec@5 70.312 (68.679)
Epoch: [80][2240/7045]	Time 0.497 (0.241)	Data 0.439 (0.175)	Loss 2.4946 (2.5236)	Prec@1 36.719 (38.696)	Prec@5 69.141 (68.673)
Epoch: [80][2250/7045]	Time 0.317 (0.241)	Data 0.266 (0.175)	Loss 2.5357 (2.5237)	Prec@1 39.453 (38.697)	Prec@5 69.141 (68.671)
Epoch: [80][2260/7045]	Time 0.383 (0.241)	Data 0.332 (0.175)	Loss 2.4730 (2.5235)	Prec@1 44.141 (38.698)	Prec@5 68.750 (68.670)
Epoch: [80][2270/7045]	Time 0.272 (0.241)	Data 0.213 (0.175)	Loss 2.2976 (2.5234)	Prec@1 43.359 (38.703)	Prec@5 75.000 (68.677)
Epoch: [80][2280/7045]	Time 0.388 (0.241)	Data 0.337 (0.175)	Loss 2.5067 (2.5234)	Prec@1 37.891 (38.699)	Prec@5 73.047 (68.684)
Epoch: [80][2290/7045]	Time 0.300 (0.241)	Data 0.248 (0.175)	Loss 2.4283 (2.5233)	Prec@1 43.359 (38.698)	Prec@5 67.578 (68.687)
Epoch: [80][2300/7045]	Time 0.303 (0.241)	Data 0.250 (0.175)	Loss 2.5932 (2.5235)	Prec@1 37.109 (38.695)	Prec@5 68.750 (68.690)
Epoch: [80][2310/7045]	Time 0.291 (0.241)	Data 0.239 (0.175)	Loss 2.5517 (2.5236)	Prec@1 40.625 (38.694)	Prec@5 67.969 (68.689)
Epoch: [80][2320/7045]	Time 0.201 (0.241)	Data 0.150 (0.175)	Loss 2.8369 (2.5238)	Prec@1 31.641 (38.694)	Prec@5 62.109 (68.680)
Epoch: [80][2330/7045]	Time 0.232 (0.241)	Data 0.180 (0.175)	Loss 2.4796 (2.5236)	Prec@1 39.844 (38.697)	Prec@5 66.016 (68.685)
Epoch: [80][2340/7045]	Time 0.102 (0.241)	Data 0.005 (0.175)	Loss 2.6776 (2.5237)	Prec@1 37.500 (38.699)	Prec@5 64.844 (68.684)
Epoch: [80][2350/7045]	Time 0.111 (0.241)	Data 0.059 (0.175)	Loss 2.2701 (2.5237)	Prec@1 40.625 (38.700)	Prec@5 75.000 (68.682)
Epoch: [80][2360/7045]	Time 0.179 (0.241)	Data 0.127 (0.175)	Loss 2.2901 (2.5236)	Prec@1 39.844 (38.698)	Prec@5 73.047 (68.683)
Epoch: [80][2370/7045]	Time 0.102 (0.241)	Data 0.044 (0.175)	Loss 2.5211 (2.5235)	Prec@1 38.281 (38.698)	Prec@5 70.312 (68.685)
Epoch: [80][2380/7045]	Time 0.280 (0.241)	Data 0.222 (0.175)	Loss 2.5067 (2.5237)	Prec@1 41.797 (38.697)	Prec@5 69.141 (68.678)
Epoch: [80][2390/7045]	Time 0.102 (0.241)	Data 0.006 (0.175)	Loss 2.5101 (2.5239)	Prec@1 39.062 (38.696)	Prec@5 68.359 (68.675)
Epoch: [80][2400/7045]	Time 0.222 (0.241)	Data 0.169 (0.175)	Loss 2.3898 (2.5239)	Prec@1 42.969 (38.696)	Prec@5 69.141 (68.679)
Epoch: [80][2410/7045]	Time 0.110 (0.241)	Data 0.058 (0.175)	Loss 2.5850 (2.5237)	Prec@1 39.062 (38.702)	Prec@5 64.062 (68.678)
Epoch: [80][2420/7045]	Time 0.235 (0.241)	Data 0.183 (0.175)	Loss 2.5881 (2.5238)	Prec@1 38.672 (38.701)	Prec@5 65.625 (68.676)
Epoch: [80][2430/7045]	Time 0.187 (0.241)	Data 0.134 (0.175)	Loss 2.5830 (2.5239)	Prec@1 36.328 (38.699)	Prec@5 67.969 (68.673)
Epoch: [80][2440/7045]	Time 0.266 (0.241)	Data 0.214 (0.175)	Loss 2.6552 (2.5242)	Prec@1 37.500 (38.694)	Prec@5 65.625 (68.668)
Epoch: [80][2450/7045]	Time 0.404 (0.241)	Data 0.345 (0.175)	Loss 2.4235 (2.5240)	Prec@1 44.531 (38.697)	Prec@5 71.094 (68.674)
Epoch: [80][2460/7045]	Time 0.190 (0.241)	Data 0.137 (0.175)	Loss 2.5226 (2.5240)	Prec@1 40.234 (38.694)	Prec@5 67.969 (68.673)
Epoch: [80][2470/7045]	Time 0.458 (0.241)	Data 0.400 (0.175)	Loss 2.4639 (2.5241)	Prec@1 40.234 (38.694)	Prec@5 69.922 (68.669)
Epoch: [80][2480/7045]	Time 0.233 (0.241)	Data 0.181 (0.175)	Loss 2.6825 (2.5243)	Prec@1 33.984 (38.685)	Prec@5 67.188 (68.664)
Epoch: [80][2490/7045]	Time 0.435 (0.241)	Data 0.384 (0.176)	Loss 2.4090 (2.5242)	Prec@1 35.938 (38.690)	Prec@5 72.266 (68.666)
Epoch: [80][2500/7045]	Time 0.130 (0.241)	Data 0.077 (0.176)	Loss 2.8566 (2.5244)	Prec@1 30.078 (38.688)	Prec@5 64.844 (68.663)
Epoch: [80][2510/7045]	Time 0.420 (0.241)	Data 0.369 (0.176)	Loss 2.4606 (2.5245)	Prec@1 36.719 (38.683)	Prec@5 74.219 (68.664)
Epoch: [80][2520/7045]	Time 0.102 (0.241)	Data 0.001 (0.176)	Loss 2.6336 (2.5246)	Prec@1 35.938 (38.683)	Prec@5 67.578 (68.659)
Epoch: [80][2530/7045]	Time 0.410 (0.241)	Data 0.359 (0.176)	Loss 2.4242 (2.5247)	Prec@1 39.844 (38.677)	Prec@5 69.531 (68.655)
Epoch: [80][2540/7045]	Time 0.178 (0.241)	Data 0.126 (0.176)	Loss 2.5444 (2.5247)	Prec@1 39.844 (38.675)	Prec@5 66.016 (68.652)
Epoch: [80][2550/7045]	Time 0.409 (0.241)	Data 0.357 (0.176)	Loss 2.3301 (2.5248)	Prec@1 44.141 (38.682)	Prec@5 70.312 (68.649)
Epoch: [80][2560/7045]	Time 0.155 (0.241)	Data 0.102 (0.176)	Loss 2.5360 (2.5247)	Prec@1 37.500 (38.683)	Prec@5 70.703 (68.650)
Epoch: [80][2570/7045]	Time 0.367 (0.241)	Data 0.315 (0.176)	Loss 2.6526 (2.5248)	Prec@1 35.938 (38.683)	Prec@5 64.844 (68.650)
Epoch: [80][2580/7045]	Time 0.207 (0.241)	Data 0.155 (0.176)	Loss 2.7058 (2.5247)	Prec@1 33.594 (38.683)	Prec@5 64.453 (68.650)
Epoch: [80][2590/7045]	Time 0.242 (0.241)	Data 0.190 (0.176)	Loss 2.3693 (2.5248)	Prec@1 40.625 (38.683)	Prec@5 69.922 (68.647)
Epoch: [80][2600/7045]	Time 0.190 (0.241)	Data 0.137 (0.176)	Loss 2.7358 (2.5248)	Prec@1 33.594 (38.682)	Prec@5 62.891 (68.645)
Epoch: [80][2610/7045]	Time 0.200 (0.241)	Data 0.148 (0.176)	Loss 2.5027 (2.5247)	Prec@1 40.625 (38.683)	Prec@5 66.797 (68.648)
Epoch: [80][2620/7045]	Time 0.103 (0.241)	Data 0.002 (0.176)	Loss 2.6597 (2.5250)	Prec@1 36.328 (38.683)	Prec@5 67.578 (68.646)
Epoch: [80][2630/7045]	Time 0.107 (0.241)	Data 0.001 (0.176)	Loss 2.6389 (2.5251)	Prec@1 38.281 (38.683)	Prec@5 66.406 (68.645)
Epoch: [80][2640/7045]	Time 0.102 (0.241)	Data 0.043 (0.176)	Loss 2.7586 (2.5252)	Prec@1 33.984 (38.684)	Prec@5 64.453 (68.642)
Epoch: [80][2650/7045]	Time 0.135 (0.241)	Data 0.083 (0.176)	Loss 2.4235 (2.5249)	Prec@1 39.844 (38.686)	Prec@5 69.531 (68.648)
Epoch: [80][2660/7045]	Time 0.108 (0.241)	Data 0.055 (0.176)	Loss 2.6063 (2.5251)	Prec@1 37.891 (38.686)	Prec@5 65.625 (68.645)
Epoch: [80][2670/7045]	Time 0.309 (0.241)	Data 0.251 (0.176)	Loss 2.5188 (2.5248)	Prec@1 37.891 (38.690)	Prec@5 69.141 (68.652)
Epoch: [80][2680/7045]	Time 0.102 (0.241)	Data 0.001 (0.176)	Loss 2.5867 (2.5248)	Prec@1 38.672 (38.688)	Prec@5 66.797 (68.651)
Epoch: [80][2690/7045]	Time 0.342 (0.241)	Data 0.290 (0.176)	Loss 2.5938 (2.5249)	Prec@1 36.719 (38.681)	Prec@5 68.359 (68.647)
Epoch: [80][2700/7045]	Time 0.102 (0.241)	Data 0.044 (0.176)	Loss 2.5856 (2.5248)	Prec@1 35.156 (38.677)	Prec@5 68.359 (68.655)
Epoch: [80][2710/7045]	Time 0.445 (0.241)	Data 0.393 (0.176)	Loss 2.6912 (2.5248)	Prec@1 36.328 (38.679)	Prec@5 65.234 (68.656)
Epoch: [80][2720/7045]	Time 0.110 (0.241)	Data 0.058 (0.176)	Loss 2.7410 (2.5248)	Prec@1 35.156 (38.680)	Prec@5 62.891 (68.654)
Epoch: [80][2730/7045]	Time 0.489 (0.241)	Data 0.431 (0.176)	Loss 2.6294 (2.5249)	Prec@1 38.672 (38.681)	Prec@5 62.891 (68.650)
Epoch: [80][2740/7045]	Time 0.140 (0.241)	Data 0.088 (0.176)	Loss 2.5367 (2.5248)	Prec@1 43.359 (38.684)	Prec@5 67.969 (68.650)
Epoch: [80][2750/7045]	Time 0.521 (0.241)	Data 0.461 (0.176)	Loss 2.5631 (2.5250)	Prec@1 38.672 (38.683)	Prec@5 66.406 (68.646)
Epoch: [80][2760/7045]	Time 0.152 (0.241)	Data 0.101 (0.176)	Loss 2.6782 (2.5251)	Prec@1 37.109 (38.679)	Prec@5 64.844 (68.641)
Epoch: [80][2770/7045]	Time 0.631 (0.241)	Data 0.581 (0.176)	Loss 2.4299 (2.5250)	Prec@1 41.016 (38.683)	Prec@5 72.656 (68.642)
Epoch: [80][2780/7045]	Time 0.108 (0.241)	Data 0.055 (0.176)	Loss 2.6378 (2.5251)	Prec@1 36.328 (38.682)	Prec@5 67.969 (68.639)
Epoch: [80][2790/7045]	Time 0.642 (0.241)	Data 0.590 (0.176)	Loss 2.7766 (2.5253)	Prec@1 35.156 (38.678)	Prec@5 65.234 (68.636)
Epoch: [80][2800/7045]	Time 0.109 (0.241)	Data 0.056 (0.176)	Loss 2.3472 (2.5253)	Prec@1 42.188 (38.683)	Prec@5 73.438 (68.638)
Epoch: [80][2810/7045]	Time 0.624 (0.241)	Data 0.572 (0.176)	Loss 2.4011 (2.5252)	Prec@1 41.016 (38.684)	Prec@5 68.750 (68.638)
Epoch: [80][2820/7045]	Time 0.112 (0.241)	Data 0.059 (0.176)	Loss 2.6199 (2.5253)	Prec@1 41.016 (38.683)	Prec@5 64.844 (68.639)
Epoch: [80][2830/7045]	Time 0.634 (0.241)	Data 0.583 (0.176)	Loss 2.4503 (2.5253)	Prec@1 37.500 (38.683)	Prec@5 69.922 (68.639)
Epoch: [80][2840/7045]	Time 0.102 (0.241)	Data 0.001 (0.176)	Loss 2.4973 (2.5251)	Prec@1 39.062 (38.688)	Prec@5 69.141 (68.641)
Epoch: [80][2850/7045]	Time 0.526 (0.241)	Data 0.474 (0.176)	Loss 2.3620 (2.5254)	Prec@1 42.578 (38.681)	Prec@5 74.219 (68.637)
Epoch: [80][2860/7045]	Time 0.102 (0.241)	Data 0.001 (0.175)	Loss 2.5270 (2.5255)	Prec@1 37.500 (38.680)	Prec@5 69.141 (68.639)
Epoch: [80][2870/7045]	Time 0.665 (0.241)	Data 0.614 (0.176)	Loss 2.4961 (2.5253)	Prec@1 41.406 (38.685)	Prec@5 67.578 (68.644)
Epoch: [80][2880/7045]	Time 0.111 (0.241)	Data 0.058 (0.175)	Loss 2.6376 (2.5255)	Prec@1 38.672 (38.683)	Prec@5 67.578 (68.639)
Epoch: [80][2890/7045]	Time 0.605 (0.241)	Data 0.549 (0.175)	Loss 2.4860 (2.5254)	Prec@1 44.531 (38.686)	Prec@5 69.141 (68.637)
Epoch: [80][2900/7045]	Time 0.110 (0.241)	Data 0.058 (0.175)	Loss 2.6816 (2.5254)	Prec@1 33.203 (38.683)	Prec@5 67.969 (68.637)
Epoch: [80][2910/7045]	Time 0.537 (0.241)	Data 0.485 (0.175)	Loss 2.4063 (2.5252)	Prec@1 46.094 (38.686)	Prec@5 69.141 (68.643)
Epoch: [80][2920/7045]	Time 0.176 (0.241)	Data 0.124 (0.175)	Loss 2.5948 (2.5253)	Prec@1 33.984 (38.682)	Prec@5 71.484 (68.646)
Epoch: [80][2930/7045]	Time 0.464 (0.241)	Data 0.413 (0.175)	Loss 2.5454 (2.5254)	Prec@1 39.453 (38.677)	Prec@5 67.578 (68.646)
Epoch: [80][2940/7045]	Time 0.188 (0.241)	Data 0.137 (0.175)	Loss 2.6901 (2.5254)	Prec@1 35.547 (38.675)	Prec@5 66.797 (68.645)
Epoch: [80][2950/7045]	Time 0.633 (0.241)	Data 0.573 (0.175)	Loss 2.5550 (2.5255)	Prec@1 39.844 (38.674)	Prec@5 68.750 (68.642)
Epoch: [80][2960/7045]	Time 0.180 (0.241)	Data 0.128 (0.175)	Loss 2.5753 (2.5254)	Prec@1 39.844 (38.674)	Prec@5 66.797 (68.644)
Epoch: [80][2970/7045]	Time 0.488 (0.241)	Data 0.437 (0.175)	Loss 2.4086 (2.5255)	Prec@1 39.844 (38.668)	Prec@5 72.656 (68.643)
Epoch: [80][2980/7045]	Time 0.102 (0.241)	Data 0.006 (0.175)	Loss 2.2295 (2.5254)	Prec@1 39.844 (38.667)	Prec@5 75.781 (68.646)
Epoch: [80][2990/7045]	Time 0.416 (0.241)	Data 0.364 (0.175)	Loss 2.4196 (2.5254)	Prec@1 39.453 (38.663)	Prec@5 66.797 (68.641)
Epoch: [80][3000/7045]	Time 0.127 (0.241)	Data 0.069 (0.175)	Loss 2.3703 (2.5255)	Prec@1 39.844 (38.660)	Prec@5 71.094 (68.637)
Epoch: [80][3010/7045]	Time 0.376 (0.241)	Data 0.323 (0.175)	Loss 2.5412 (2.5256)	Prec@1 33.203 (38.657)	Prec@5 70.703 (68.635)
Epoch: [80][3020/7045]	Time 0.110 (0.241)	Data 0.058 (0.175)	Loss 2.2666 (2.5254)	Prec@1 39.453 (38.659)	Prec@5 75.000 (68.640)
Epoch: [80][3030/7045]	Time 0.186 (0.241)	Data 0.134 (0.175)	Loss 2.7154 (2.5256)	Prec@1 40.234 (38.661)	Prec@5 64.453 (68.636)
Epoch: [80][3040/7045]	Time 0.457 (0.241)	Data 0.406 (0.176)	Loss 2.7418 (2.5256)	Prec@1 36.719 (38.665)	Prec@5 63.672 (68.639)
Epoch: [80][3050/7045]	Time 0.102 (0.241)	Data 0.001 (0.175)	Loss 2.6944 (2.5256)	Prec@1 35.547 (38.665)	Prec@5 64.453 (68.638)
Epoch: [80][3060/7045]	Time 0.546 (0.241)	Data 0.493 (0.176)	Loss 2.5835 (2.5255)	Prec@1 37.891 (38.667)	Prec@5 67.969 (68.641)
Epoch: [80][3070/7045]	Time 0.161 (0.241)	Data 0.109 (0.175)	Loss 2.4906 (2.5256)	Prec@1 41.797 (38.665)	Prec@5 70.312 (68.642)
Epoch: [80][3080/7045]	Time 0.409 (0.241)	Data 0.357 (0.176)	Loss 2.4837 (2.5254)	Prec@1 37.500 (38.666)	Prec@5 71.094 (68.643)
Epoch: [80][3090/7045]	Time 0.179 (0.241)	Data 0.126 (0.176)	Loss 2.2458 (2.5254)	Prec@1 44.141 (38.666)	Prec@5 73.828 (68.644)
Epoch: [80][3100/7045]	Time 0.192 (0.241)	Data 0.140 (0.176)	Loss 2.4848 (2.5255)	Prec@1 35.938 (38.664)	Prec@5 66.797 (68.641)
Epoch: [80][3110/7045]	Time 0.102 (0.241)	Data 0.003 (0.176)	Loss 2.4635 (2.5254)	Prec@1 42.188 (38.665)	Prec@5 69.531 (68.643)
Epoch: [80][3120/7045]	Time 0.103 (0.241)	Data 0.044 (0.176)	Loss 2.7944 (2.5256)	Prec@1 31.641 (38.662)	Prec@5 63.672 (68.639)
Epoch: [80][3130/7045]	Time 0.143 (0.241)	Data 0.090 (0.176)	Loss 2.4812 (2.5256)	Prec@1 38.672 (38.659)	Prec@5 69.922 (68.638)
Epoch: [80][3140/7045]	Time 0.314 (0.241)	Data 0.255 (0.176)	Loss 2.6934 (2.5257)	Prec@1 33.594 (38.659)	Prec@5 67.969 (68.635)
Epoch: [80][3150/7045]	Time 0.129 (0.241)	Data 0.077 (0.176)	Loss 2.6148 (2.5259)	Prec@1 39.844 (38.655)	Prec@5 66.406 (68.632)
Epoch: [80][3160/7045]	Time 0.424 (0.241)	Data 0.372 (0.176)	Loss 2.6428 (2.5259)	Prec@1 32.031 (38.650)	Prec@5 65.234 (68.632)
Epoch: [80][3170/7045]	Time 0.209 (0.241)	Data 0.152 (0.176)	Loss 2.6366 (2.5260)	Prec@1 35.156 (38.650)	Prec@5 68.750 (68.631)
Epoch: [80][3180/7045]	Time 0.385 (0.241)	Data 0.333 (0.176)	Loss 2.6327 (2.5259)	Prec@1 35.156 (38.652)	Prec@5 63.281 (68.626)
Epoch: [80][3190/7045]	Time 0.108 (0.241)	Data 0.005 (0.176)	Loss 2.4175 (2.5257)	Prec@1 39.062 (38.652)	Prec@5 70.312 (68.630)
Epoch: [80][3200/7045]	Time 0.202 (0.241)	Data 0.149 (0.176)	Loss 2.4894 (2.5259)	Prec@1 39.453 (38.650)	Prec@5 64.844 (68.630)
Epoch: [80][3210/7045]	Time 0.108 (0.241)	Data 0.054 (0.176)	Loss 2.4164 (2.5257)	Prec@1 41.797 (38.647)	Prec@5 69.531 (68.632)
Epoch: [80][3220/7045]	Time 0.151 (0.241)	Data 0.098 (0.176)	Loss 2.5181 (2.5259)	Prec@1 37.109 (38.641)	Prec@5 67.578 (68.628)
Epoch: [80][3230/7045]	Time 0.101 (0.241)	Data 0.001 (0.176)	Loss 2.4120 (2.5260)	Prec@1 38.281 (38.636)	Prec@5 71.875 (68.628)
Epoch: [80][3240/7045]	Time 0.401 (0.241)	Data 0.349 (0.176)	Loss 2.4614 (2.5261)	Prec@1 37.109 (38.632)	Prec@5 71.094 (68.626)
Epoch: [80][3250/7045]	Time 0.150 (0.241)	Data 0.099 (0.176)	Loss 2.4081 (2.5261)	Prec@1 42.188 (38.629)	Prec@5 70.703 (68.625)
Epoch: [80][3260/7045]	Time 0.327 (0.241)	Data 0.275 (0.176)	Loss 2.3081 (2.5261)	Prec@1 43.750 (38.628)	Prec@5 71.094 (68.624)
Epoch: [80][3270/7045]	Time 0.538 (0.241)	Data 0.479 (0.176)	Loss 2.3961 (2.5262)	Prec@1 43.359 (38.629)	Prec@5 72.656 (68.621)
Epoch: [80][3280/7045]	Time 0.108 (0.241)	Data 0.001 (0.176)	Loss 2.6291 (2.5261)	Prec@1 33.203 (38.629)	Prec@5 66.406 (68.620)
Epoch: [80][3290/7045]	Time 0.403 (0.241)	Data 0.350 (0.176)	Loss 2.5983 (2.5262)	Prec@1 34.375 (38.624)	Prec@5 68.750 (68.618)
Epoch: [80][3300/7045]	Time 0.106 (0.241)	Data 0.053 (0.176)	Loss 2.6339 (2.5261)	Prec@1 33.594 (38.625)	Prec@5 64.844 (68.616)
Epoch: [80][3310/7045]	Time 0.207 (0.241)	Data 0.155 (0.176)	Loss 2.6136 (2.5259)	Prec@1 37.109 (38.627)	Prec@5 69.922 (68.619)
Epoch: [80][3320/7045]	Time 0.102 (0.241)	Data 0.045 (0.176)	Loss 2.5011 (2.5261)	Prec@1 42.578 (38.626)	Prec@5 69.922 (68.615)
Epoch: [80][3330/7045]	Time 0.110 (0.241)	Data 0.006 (0.176)	Loss 2.5550 (2.5261)	Prec@1 37.109 (38.625)	Prec@5 68.359 (68.612)
Epoch: [80][3340/7045]	Time 0.102 (0.241)	Data 0.004 (0.176)	Loss 2.5853 (2.5263)	Prec@1 39.062 (38.621)	Prec@5 67.188 (68.607)
Epoch: [80][3350/7045]	Time 0.150 (0.241)	Data 0.098 (0.176)	Loss 2.4307 (2.5261)	Prec@1 39.062 (38.625)	Prec@5 68.750 (68.613)
Epoch: [80][3360/7045]	Time 0.111 (0.241)	Data 0.058 (0.176)	Loss 2.3099 (2.5261)	Prec@1 50.000 (38.627)	Prec@5 70.703 (68.614)
Epoch: [80][3370/7045]	Time 0.148 (0.241)	Data 0.090 (0.176)	Loss 2.5692 (2.5262)	Prec@1 42.188 (38.628)	Prec@5 68.750 (68.615)
Epoch: [80][3380/7045]	Time 0.107 (0.241)	Data 0.054 (0.176)	Loss 2.3950 (2.5262)	Prec@1 39.844 (38.629)	Prec@5 68.359 (68.613)
Epoch: [80][3390/7045]	Time 0.113 (0.241)	Data 0.054 (0.176)	Loss 2.7472 (2.5261)	Prec@1 36.719 (38.633)	Prec@5 66.406 (68.614)
Epoch: [80][3400/7045]	Time 0.287 (0.241)	Data 0.235 (0.176)	Loss 2.6014 (2.5261)	Prec@1 36.328 (38.631)	Prec@5 67.578 (68.614)
Epoch: [80][3410/7045]	Time 0.108 (0.241)	Data 0.045 (0.176)	Loss 2.6306 (2.5263)	Prec@1 35.156 (38.624)	Prec@5 65.625 (68.609)
Epoch: [80][3420/7045]	Time 0.469 (0.241)	Data 0.417 (0.176)	Loss 2.5039 (2.5262)	Prec@1 41.406 (38.622)	Prec@5 69.141 (68.611)
Epoch: [80][3430/7045]	Time 0.102 (0.241)	Data 0.048 (0.176)	Loss 2.3058 (2.5262)	Prec@1 44.531 (38.626)	Prec@5 70.703 (68.610)
Epoch: [80][3440/7045]	Time 0.683 (0.241)	Data 0.631 (0.176)	Loss 2.6981 (2.5261)	Prec@1 38.672 (38.629)	Prec@5 67.969 (68.609)
Epoch: [80][3450/7045]	Time 0.103 (0.241)	Data 0.002 (0.176)	Loss 2.4452 (2.5259)	Prec@1 39.844 (38.632)	Prec@5 65.234 (68.612)
Epoch: [80][3460/7045]	Time 0.739 (0.241)	Data 0.687 (0.176)	Loss 2.5895 (2.5259)	Prec@1 33.594 (38.633)	Prec@5 69.531 (68.614)
Epoch: [80][3470/7045]	Time 0.102 (0.241)	Data 0.001 (0.176)	Loss 2.4985 (2.5260)	Prec@1 36.719 (38.632)	Prec@5 72.656 (68.612)
Epoch: [80][3480/7045]	Time 0.641 (0.241)	Data 0.590 (0.176)	Loss 2.5287 (2.5260)	Prec@1 37.891 (38.628)	Prec@5 69.922 (68.612)
Epoch: [80][3490/7045]	Time 0.102 (0.241)	Data 0.001 (0.176)	Loss 2.6785 (2.5260)	Prec@1 37.109 (38.629)	Prec@5 68.359 (68.611)
Epoch: [80][3500/7045]	Time 0.591 (0.241)	Data 0.538 (0.176)	Loss 2.4704 (2.5261)	Prec@1 38.281 (38.633)	Prec@5 69.922 (68.610)
Epoch: [80][3510/7045]	Time 0.102 (0.241)	Data 0.001 (0.176)	Loss 2.4469 (2.5261)	Prec@1 37.109 (38.633)	Prec@5 70.703 (68.610)
Epoch: [80][3520/7045]	Time 0.108 (0.241)	Data 0.055 (0.176)	Loss 2.4944 (2.5262)	Prec@1 42.188 (38.632)	Prec@5 68.750 (68.609)
Epoch: [80][3530/7045]	Time 0.102 (0.241)	Data 0.001 (0.176)	Loss 2.6674 (2.5263)	Prec@1 31.641 (38.630)	Prec@5 67.969 (68.608)
Epoch: [80][3540/7045]	Time 0.102 (0.241)	Data 0.004 (0.176)	Loss 2.5509 (2.5261)	Prec@1 35.938 (38.630)	Prec@5 67.578 (68.613)
Epoch: [80][3550/7045]	Time 0.104 (0.241)	Data 0.052 (0.175)	Loss 2.6171 (2.5262)	Prec@1 37.109 (38.628)	Prec@5 68.359 (68.611)
Epoch: [80][3560/7045]	Time 0.102 (0.241)	Data 0.007 (0.176)	Loss 2.5246 (2.5264)	Prec@1 36.328 (38.623)	Prec@5 70.703 (68.609)
Epoch: [80][3570/7045]	Time 0.450 (0.241)	Data 0.399 (0.176)	Loss 2.4298 (2.5261)	Prec@1 40.234 (38.625)	Prec@5 71.094 (68.614)
Epoch: [80][3580/7045]	Time 0.102 (0.241)	Data 0.001 (0.176)	Loss 2.5286 (2.5263)	Prec@1 41.016 (38.624)	Prec@5 68.359 (68.615)
Epoch: [80][3590/7045]	Time 0.750 (0.241)	Data 0.697 (0.176)	Loss 2.4908 (2.5261)	Prec@1 36.328 (38.622)	Prec@5 68.359 (68.618)
Epoch: [80][3600/7045]	Time 0.103 (0.241)	Data 0.001 (0.175)	Loss 2.6539 (2.5262)	Prec@1 31.641 (38.620)	Prec@5 67.578 (68.620)
Epoch: [80][3610/7045]	Time 0.565 (0.241)	Data 0.512 (0.175)	Loss 2.5313 (2.5261)	Prec@1 36.719 (38.621)	Prec@5 66.797 (68.618)
Epoch: [80][3620/7045]	Time 0.102 (0.241)	Data 0.001 (0.175)	Loss 2.6150 (2.5262)	Prec@1 37.891 (38.620)	Prec@5 68.359 (68.617)
Epoch: [80][3630/7045]	Time 0.189 (0.241)	Data 0.137 (0.175)	Loss 2.7454 (2.5262)	Prec@1 36.719 (38.620)	Prec@5 63.672 (68.617)
Epoch: [80][3640/7045]	Time 0.102 (0.241)	Data 0.001 (0.175)	Loss 2.4612 (2.5262)	Prec@1 41.797 (38.620)	Prec@5 70.703 (68.615)
Epoch: [80][3650/7045]	Time 0.109 (0.241)	Data 0.001 (0.175)	Loss 2.4504 (2.5263)	Prec@1 36.328 (38.617)	Prec@5 70.312 (68.612)
Epoch: [80][3660/7045]	Time 0.257 (0.241)	Data 0.205 (0.175)	Loss 2.5755 (2.5264)	Prec@1 37.891 (38.621)	Prec@5 66.016 (68.609)
Epoch: [80][3670/7045]	Time 0.104 (0.241)	Data 0.051 (0.175)	Loss 2.2135 (2.5264)	Prec@1 42.188 (38.620)	Prec@5 72.656 (68.610)
Epoch: [80][3680/7045]	Time 0.677 (0.241)	Data 0.626 (0.175)	Loss 2.5477 (2.5264)	Prec@1 35.547 (38.618)	Prec@5 67.969 (68.608)
Epoch: [80][3690/7045]	Time 0.102 (0.241)	Data 0.001 (0.175)	Loss 2.3489 (2.5266)	Prec@1 41.406 (38.617)	Prec@5 70.312 (68.604)
Epoch: [80][3700/7045]	Time 0.606 (0.241)	Data 0.554 (0.175)	Loss 2.4957 (2.5266)	Prec@1 37.109 (38.617)	Prec@5 68.750 (68.601)
Epoch: [80][3710/7045]	Time 0.102 (0.241)	Data 0.006 (0.175)	Loss 2.6379 (2.5266)	Prec@1 34.766 (38.619)	Prec@5 67.969 (68.604)
Epoch: [80][3720/7045]	Time 0.249 (0.241)	Data 0.197 (0.175)	Loss 2.3566 (2.5265)	Prec@1 41.406 (38.614)	Prec@5 71.094 (68.608)
Epoch: [80][3730/7045]	Time 0.102 (0.241)	Data 0.004 (0.175)	Loss 2.5120 (2.5265)	Prec@1 39.062 (38.614)	Prec@5 67.188 (68.607)
Epoch: [80][3740/7045]	Time 0.212 (0.241)	Data 0.159 (0.175)	Loss 2.4921 (2.5264)	Prec@1 39.844 (38.615)	Prec@5 67.188 (68.606)
Epoch: [80][3750/7045]	Time 0.103 (0.241)	Data 0.001 (0.175)	Loss 2.3868 (2.5264)	Prec@1 40.234 (38.617)	Prec@5 69.922 (68.605)
Epoch: [80][3760/7045]	Time 0.115 (0.241)	Data 0.055 (0.175)	Loss 2.5421 (2.5264)	Prec@1 39.062 (38.617)	Prec@5 62.500 (68.606)
Epoch: [80][3770/7045]	Time 0.410 (0.241)	Data 0.358 (0.175)	Loss 2.5698 (2.5264)	Prec@1 41.797 (38.618)	Prec@5 67.969 (68.605)
Epoch: [80][3780/7045]	Time 0.151 (0.241)	Data 0.099 (0.175)	Loss 2.7309 (2.5264)	Prec@1 30.469 (38.615)	Prec@5 62.891 (68.606)
Epoch: [80][3790/7045]	Time 0.625 (0.242)	Data 0.573 (0.175)	Loss 2.4634 (2.5262)	Prec@1 39.453 (38.620)	Prec@5 67.969 (68.611)
Epoch: [80][3800/7045]	Time 0.133 (0.241)	Data 0.080 (0.175)	Loss 2.8225 (2.5263)	Prec@1 38.281 (38.617)	Prec@5 64.844 (68.610)
Epoch: [80][3810/7045]	Time 0.524 (0.241)	Data 0.466 (0.175)	Loss 2.4586 (2.5262)	Prec@1 39.062 (38.619)	Prec@5 69.922 (68.611)
Epoch: [80][3820/7045]	Time 0.188 (0.241)	Data 0.137 (0.175)	Loss 2.4949 (2.5262)	Prec@1 36.719 (38.623)	Prec@5 68.750 (68.612)
Epoch: [80][3830/7045]	Time 0.449 (0.241)	Data 0.396 (0.175)	Loss 2.4576 (2.5262)	Prec@1 39.453 (38.622)	Prec@5 69.141 (68.607)
Epoch: [80][3840/7045]	Time 0.196 (0.241)	Data 0.145 (0.175)	Loss 2.4770 (2.5263)	Prec@1 38.281 (38.618)	Prec@5 68.750 (68.607)
Epoch: [80][3850/7045]	Time 0.327 (0.241)	Data 0.275 (0.175)	Loss 2.5340 (2.5263)	Prec@1 39.844 (38.616)	Prec@5 71.094 (68.608)
Epoch: [80][3860/7045]	Time 0.166 (0.241)	Data 0.108 (0.175)	Loss 2.5681 (2.5264)	Prec@1 34.766 (38.614)	Prec@5 66.016 (68.607)
Epoch: [80][3870/7045]	Time 0.238 (0.241)	Data 0.186 (0.175)	Loss 2.4316 (2.5263)	Prec@1 37.891 (38.611)	Prec@5 68.750 (68.608)
Epoch: [80][3880/7045]	Time 0.101 (0.241)	Data 0.005 (0.175)	Loss 2.3636 (2.5264)	Prec@1 42.188 (38.614)	Prec@5 70.312 (68.604)
Epoch: [80][3890/7045]	Time 0.139 (0.241)	Data 0.087 (0.175)	Loss 2.5806 (2.5266)	Prec@1 39.062 (38.614)	Prec@5 65.625 (68.602)
Epoch: [80][3900/7045]	Time 0.147 (0.241)	Data 0.095 (0.175)	Loss 2.4385 (2.5266)	Prec@1 40.625 (38.615)	Prec@5 67.969 (68.601)
Epoch: [80][3910/7045]	Time 0.112 (0.241)	Data 0.059 (0.175)	Loss 2.5684 (2.5267)	Prec@1 35.938 (38.611)	Prec@5 64.062 (68.598)
Epoch: [80][3920/7045]	Time 0.152 (0.241)	Data 0.094 (0.175)	Loss 2.5744 (2.5267)	Prec@1 38.672 (38.613)	Prec@5 68.359 (68.600)
Epoch: [80][3930/7045]	Time 0.103 (0.241)	Data 0.001 (0.175)	Loss 2.6480 (2.5266)	Prec@1 34.766 (38.613)	Prec@5 64.844 (68.597)
Epoch: [80][3940/7045]	Time 0.139 (0.241)	Data 0.087 (0.175)	Loss 2.6043 (2.5267)	Prec@1 38.281 (38.613)	Prec@5 67.188 (68.593)
Epoch: [80][3950/7045]	Time 0.102 (0.241)	Data 0.001 (0.175)	Loss 2.5405 (2.5268)	Prec@1 33.203 (38.610)	Prec@5 70.312 (68.590)
Epoch: [80][3960/7045]	Time 0.155 (0.241)	Data 0.104 (0.175)	Loss 2.6261 (2.5267)	Prec@1 35.547 (38.611)	Prec@5 66.797 (68.590)
Epoch: [80][3970/7045]	Time 0.103 (0.241)	Data 0.001 (0.175)	Loss 2.4785 (2.5268)	Prec@1 42.578 (38.612)	Prec@5 68.359 (68.590)
Epoch: [80][3980/7045]	Time 0.102 (0.241)	Data 0.004 (0.175)	Loss 2.4285 (2.5267)	Prec@1 39.844 (38.617)	Prec@5 71.094 (68.591)
Epoch: [80][3990/7045]	Time 0.113 (0.241)	Data 0.060 (0.175)	Loss 2.4445 (2.5269)	Prec@1 38.672 (38.609)	Prec@5 70.703 (68.587)
Epoch: [80][4000/7045]	Time 0.103 (0.241)	Data 0.003 (0.175)	Loss 2.5389 (2.5268)	Prec@1 40.625 (38.609)	Prec@5 69.141 (68.591)
Epoch: [80][4010/7045]	Time 0.152 (0.241)	Data 0.099 (0.175)	Loss 2.4138 (2.5269)	Prec@1 41.016 (38.608)	Prec@5 71.094 (68.591)
Epoch: [80][4020/7045]	Time 0.145 (0.241)	Data 0.094 (0.175)	Loss 2.7535 (2.5270)	Prec@1 36.328 (38.607)	Prec@5 62.109 (68.590)
Epoch: [80][4030/7045]	Time 0.240 (0.241)	Data 0.189 (0.175)	Loss 2.4774 (2.5268)	Prec@1 44.141 (38.611)	Prec@5 69.531 (68.593)
Epoch: [80][4040/7045]	Time 0.184 (0.241)	Data 0.127 (0.175)	Loss 2.5664 (2.5268)	Prec@1 39.453 (38.615)	Prec@5 69.531 (68.594)
Epoch: [80][4050/7045]	Time 0.311 (0.241)	Data 0.260 (0.175)	Loss 2.5815 (2.5268)	Prec@1 39.453 (38.616)	Prec@5 66.016 (68.594)
Epoch: [80][4060/7045]	Time 0.324 (0.241)	Data 0.267 (0.175)	Loss 2.7912 (2.5268)	Prec@1 37.500 (38.618)	Prec@5 59.375 (68.591)
Epoch: [80][4070/7045]	Time 0.292 (0.241)	Data 0.242 (0.175)	Loss 2.3570 (2.5267)	Prec@1 41.406 (38.621)	Prec@5 71.094 (68.592)
Epoch: [80][4080/7045]	Time 0.394 (0.241)	Data 0.342 (0.175)	Loss 2.5320 (2.5269)	Prec@1 39.844 (38.621)	Prec@5 67.188 (68.589)
Epoch: [80][4090/7045]	Time 0.333 (0.241)	Data 0.282 (0.175)	Loss 2.3659 (2.5269)	Prec@1 40.625 (38.621)	Prec@5 71.094 (68.590)
Epoch: [80][4100/7045]	Time 0.327 (0.241)	Data 0.275 (0.175)	Loss 2.4680 (2.5269)	Prec@1 33.594 (38.621)	Prec@5 70.312 (68.588)
Epoch: [80][4110/7045]	Time 0.321 (0.241)	Data 0.269 (0.175)	Loss 2.5307 (2.5269)	Prec@1 40.234 (38.620)	Prec@5 70.312 (68.591)
Epoch: [80][4120/7045]	Time 0.377 (0.241)	Data 0.325 (0.175)	Loss 2.4862 (2.5268)	Prec@1 38.672 (38.616)	Prec@5 72.656 (68.592)
Epoch: [80][4130/7045]	Time 0.232 (0.241)	Data 0.180 (0.175)	Loss 2.3682 (2.5268)	Prec@1 41.797 (38.616)	Prec@5 69.531 (68.593)
Epoch: [80][4140/7045]	Time 0.344 (0.241)	Data 0.292 (0.175)	Loss 2.6122 (2.5267)	Prec@1 36.328 (38.622)	Prec@5 68.750 (68.594)
Epoch: [80][4150/7045]	Time 0.127 (0.241)	Data 0.075 (0.175)	Loss 2.3929 (2.5265)	Prec@1 39.844 (38.622)	Prec@5 73.828 (68.598)
Epoch: [80][4160/7045]	Time 0.342 (0.241)	Data 0.290 (0.175)	Loss 2.5615 (2.5264)	Prec@1 40.234 (38.626)	Prec@5 67.969 (68.601)
Epoch: [80][4170/7045]	Time 0.102 (0.241)	Data 0.001 (0.175)	Loss 2.5837 (2.5263)	Prec@1 37.891 (38.629)	Prec@5 68.359 (68.606)
Epoch: [80][4180/7045]	Time 0.310 (0.241)	Data 0.258 (0.175)	Loss 2.4621 (2.5261)	Prec@1 39.453 (38.629)	Prec@5 70.312 (68.608)
Epoch: [80][4190/7045]	Time 0.107 (0.241)	Data 0.055 (0.175)	Loss 2.4741 (2.5261)	Prec@1 39.062 (38.629)	Prec@5 67.578 (68.606)
Epoch: [80][4200/7045]	Time 0.217 (0.241)	Data 0.157 (0.175)	Loss 2.5375 (2.5262)	Prec@1 41.797 (38.631)	Prec@5 69.141 (68.605)
Epoch: [80][4210/7045]	Time 0.176 (0.241)	Data 0.123 (0.175)	Loss 2.7708 (2.5262)	Prec@1 33.203 (38.632)	Prec@5 63.672 (68.605)
Epoch: [80][4220/7045]	Time 0.284 (0.241)	Data 0.233 (0.175)	Loss 2.6176 (2.5261)	Prec@1 38.281 (38.637)	Prec@5 69.141 (68.606)
Epoch: [80][4230/7045]	Time 0.269 (0.241)	Data 0.218 (0.175)	Loss 2.7113 (2.5263)	Prec@1 33.594 (38.634)	Prec@5 64.062 (68.601)
Epoch: [80][4240/7045]	Time 0.220 (0.241)	Data 0.160 (0.175)	Loss 2.4699 (2.5263)	Prec@1 36.719 (38.633)	Prec@5 71.484 (68.601)
Epoch: [80][4250/7045]	Time 0.288 (0.241)	Data 0.237 (0.175)	Loss 2.2431 (2.5264)	Prec@1 39.062 (38.629)	Prec@5 75.000 (68.598)
Epoch: [80][4260/7045]	Time 0.170 (0.241)	Data 0.119 (0.175)	Loss 2.6330 (2.5264)	Prec@1 35.938 (38.629)	Prec@5 68.750 (68.599)
Epoch: [80][4270/7045]	Time 0.386 (0.241)	Data 0.334 (0.175)	Loss 2.5835 (2.5264)	Prec@1 37.109 (38.627)	Prec@5 66.797 (68.599)
Epoch: [80][4280/7045]	Time 0.102 (0.241)	Data 0.003 (0.175)	Loss 2.5653 (2.5263)	Prec@1 33.984 (38.628)	Prec@5 66.797 (68.599)
Epoch: [80][4290/7045]	Time 0.311 (0.241)	Data 0.258 (0.175)	Loss 2.5950 (2.5263)	Prec@1 34.766 (38.629)	Prec@5 66.406 (68.599)
Epoch: [80][4300/7045]	Time 0.102 (0.241)	Data 0.001 (0.175)	Loss 2.4373 (2.5264)	Prec@1 37.891 (38.625)	Prec@5 70.703 (68.597)
Epoch: [80][4310/7045]	Time 0.261 (0.241)	Data 0.208 (0.175)	Loss 2.4207 (2.5264)	Prec@1 39.453 (38.625)	Prec@5 70.703 (68.597)
Epoch: [80][4320/7045]	Time 0.117 (0.241)	Data 0.064 (0.175)	Loss 2.4040 (2.5263)	Prec@1 42.969 (38.627)	Prec@5 72.656 (68.597)
Epoch: [80][4330/7045]	Time 0.323 (0.241)	Data 0.271 (0.176)	Loss 2.5049 (2.5263)	Prec@1 42.969 (38.628)	Prec@5 67.969 (68.595)
Epoch: [80][4340/7045]	Time 0.251 (0.241)	Data 0.198 (0.176)	Loss 2.3267 (2.5262)	Prec@1 44.922 (38.630)	Prec@5 71.484 (68.596)
Epoch: [80][4350/7045]	Time 0.354 (0.241)	Data 0.302 (0.176)	Loss 2.5642 (2.5263)	Prec@1 37.500 (38.629)	Prec@5 66.016 (68.597)
Epoch: [80][4360/7045]	Time 0.183 (0.241)	Data 0.130 (0.176)	Loss 2.4952 (2.5263)	Prec@1 39.844 (38.629)	Prec@5 69.922 (68.597)
Epoch: [80][4370/7045]	Time 0.398 (0.241)	Data 0.347 (0.176)	Loss 2.6313 (2.5264)	Prec@1 38.281 (38.629)	Prec@5 66.406 (68.594)
Epoch: [80][4380/7045]	Time 0.407 (0.241)	Data 0.356 (0.176)	Loss 2.5969 (2.5263)	Prec@1 41.016 (38.631)	Prec@5 66.406 (68.596)
Epoch: [80][4390/7045]	Time 0.535 (0.241)	Data 0.484 (0.176)	Loss 2.5769 (2.5263)	Prec@1 34.375 (38.631)	Prec@5 66.797 (68.598)
Epoch: [80][4400/7045]	Time 0.144 (0.241)	Data 0.092 (0.176)	Loss 2.4553 (2.5262)	Prec@1 39.062 (38.632)	Prec@5 70.703 (68.600)
Epoch: [80][4410/7045]	Time 0.599 (0.241)	Data 0.543 (0.176)	Loss 2.5539 (2.5264)	Prec@1 38.672 (38.629)	Prec@5 67.969 (68.594)
Epoch: [80][4420/7045]	Time 0.219 (0.241)	Data 0.167 (0.176)	Loss 2.4902 (2.5264)	Prec@1 41.016 (38.627)	Prec@5 70.312 (68.596)
Epoch: [80][4430/7045]	Time 0.391 (0.241)	Data 0.338 (0.176)	Loss 2.5333 (2.5264)	Prec@1 35.547 (38.626)	Prec@5 71.484 (68.595)
Epoch: [80][4440/7045]	Time 0.108 (0.241)	Data 0.056 (0.176)	Loss 2.5281 (2.5265)	Prec@1 42.188 (38.626)	Prec@5 66.016 (68.589)
Epoch: [80][4450/7045]	Time 0.125 (0.241)	Data 0.073 (0.176)	Loss 2.7503 (2.5268)	Prec@1 30.078 (38.618)	Prec@5 66.406 (68.585)
Epoch: [80][4460/7045]	Time 0.109 (0.241)	Data 0.055 (0.176)	Loss 2.5736 (2.5268)	Prec@1 37.500 (38.618)	Prec@5 68.359 (68.586)
Epoch: [80][4470/7045]	Time 0.112 (0.241)	Data 0.060 (0.176)	Loss 2.5347 (2.5267)	Prec@1 34.766 (38.619)	Prec@5 69.922 (68.591)
Epoch: [80][4480/7045]	Time 0.111 (0.241)	Data 0.058 (0.176)	Loss 2.5422 (2.5268)	Prec@1 35.156 (38.617)	Prec@5 71.094 (68.592)
Epoch: [80][4490/7045]	Time 0.420 (0.241)	Data 0.368 (0.176)	Loss 2.2908 (2.5267)	Prec@1 47.266 (38.621)	Prec@5 73.828 (68.595)
Epoch: [80][4500/7045]	Time 0.102 (0.241)	Data 0.001 (0.176)	Loss 2.6621 (2.5268)	Prec@1 34.766 (38.619)	Prec@5 68.359 (68.593)
Epoch: [80][4510/7045]	Time 0.515 (0.241)	Data 0.457 (0.176)	Loss 2.5877 (2.5268)	Prec@1 41.016 (38.619)	Prec@5 68.750 (68.591)
Epoch: [80][4520/7045]	Time 0.109 (0.241)	Data 0.056 (0.176)	Loss 2.6795 (2.5269)	Prec@1 37.500 (38.618)	Prec@5 65.625 (68.590)
Epoch: [80][4530/7045]	Time 0.589 (0.241)	Data 0.537 (0.176)	Loss 2.5099 (2.5269)	Prec@1 37.500 (38.615)	Prec@5 69.141 (68.591)
Epoch: [80][4540/7045]	Time 0.316 (0.241)	Data 0.265 (0.176)	Loss 2.6158 (2.5270)	Prec@1 37.891 (38.615)	Prec@5 69.531 (68.589)
Epoch: [80][4550/7045]	Time 0.453 (0.241)	Data 0.395 (0.176)	Loss 2.4276 (2.5269)	Prec@1 39.062 (38.615)	Prec@5 71.094 (68.591)
Epoch: [80][4560/7045]	Time 0.236 (0.241)	Data 0.184 (0.176)	Loss 2.3542 (2.5270)	Prec@1 41.406 (38.614)	Prec@5 71.484 (68.590)
Epoch: [80][4570/7045]	Time 0.268 (0.241)	Data 0.211 (0.176)	Loss 2.6854 (2.5268)	Prec@1 35.938 (38.619)	Prec@5 67.969 (68.594)
Epoch: [80][4580/7045]	Time 0.200 (0.241)	Data 0.147 (0.176)	Loss 2.5415 (2.5268)	Prec@1 39.453 (38.618)	Prec@5 70.703 (68.594)
Epoch: [80][4590/7045]	Time 0.125 (0.241)	Data 0.073 (0.176)	Loss 2.4890 (2.5268)	Prec@1 39.844 (38.618)	Prec@5 68.359 (68.596)
Epoch: [80][4600/7045]	Time 0.102 (0.241)	Data 0.001 (0.176)	Loss 2.5278 (2.5268)	Prec@1 38.672 (38.620)	Prec@5 66.797 (68.594)
Epoch: [80][4610/7045]	Time 0.108 (0.241)	Data 0.007 (0.176)	Loss 2.4683 (2.5269)	Prec@1 38.281 (38.617)	Prec@5 69.922 (68.590)
Epoch: [80][4620/7045]	Time 0.102 (0.241)	Data 0.001 (0.176)	Loss 2.4403 (2.5271)	Prec@1 38.672 (38.615)	Prec@5 70.703 (68.588)
Epoch: [80][4630/7045]	Time 0.107 (0.241)	Data 0.006 (0.176)	Loss 2.5258 (2.5272)	Prec@1 41.797 (38.616)	Prec@5 68.359 (68.585)
Epoch: [80][4640/7045]	Time 0.283 (0.241)	Data 0.231 (0.176)	Loss 2.5221 (2.5272)	Prec@1 39.453 (38.616)	Prec@5 71.875 (68.587)
Epoch: [80][4650/7045]	Time 0.102 (0.241)	Data 0.006 (0.176)	Loss 2.2749 (2.5273)	Prec@1 44.531 (38.616)	Prec@5 72.266 (68.582)
Epoch: [80][4660/7045]	Time 0.403 (0.241)	Data 0.351 (0.176)	Loss 2.7496 (2.5273)	Prec@1 38.672 (38.613)	Prec@5 68.359 (68.583)
Epoch: [80][4670/7045]	Time 0.102 (0.241)	Data 0.001 (0.176)	Loss 2.3298 (2.5272)	Prec@1 39.453 (38.612)	Prec@5 72.656 (68.583)
Epoch: [80][4680/7045]	Time 0.556 (0.241)	Data 0.504 (0.176)	Loss 2.4514 (2.5273)	Prec@1 38.672 (38.611)	Prec@5 72.656 (68.580)
Epoch: [80][4690/7045]	Time 0.103 (0.241)	Data 0.001 (0.176)	Loss 2.6134 (2.5272)	Prec@1 40.234 (38.613)	Prec@5 67.969 (68.585)
Epoch: [80][4700/7045]	Time 0.690 (0.241)	Data 0.638 (0.176)	Loss 2.6022 (2.5272)	Prec@1 35.547 (38.612)	Prec@5 68.359 (68.585)
Epoch: [80][4710/7045]	Time 0.109 (0.241)	Data 0.001 (0.176)	Loss 2.5546 (2.5273)	Prec@1 37.891 (38.610)	Prec@5 73.438 (68.586)
Epoch: [80][4720/7045]	Time 0.464 (0.241)	Data 0.412 (0.176)	Loss 2.4897 (2.5272)	Prec@1 40.234 (38.611)	Prec@5 69.141 (68.586)
Epoch: [80][4730/7045]	Time 0.103 (0.241)	Data 0.001 (0.176)	Loss 2.4254 (2.5272)	Prec@1 44.922 (38.615)	Prec@5 70.703 (68.589)
Epoch: [80][4740/7045]	Time 0.261 (0.241)	Data 0.201 (0.176)	Loss 2.4757 (2.5272)	Prec@1 39.453 (38.615)	Prec@5 65.234 (68.588)
Epoch: [80][4750/7045]	Time 0.102 (0.241)	Data 0.005 (0.176)	Loss 2.6480 (2.5272)	Prec@1 39.062 (38.612)	Prec@5 68.359 (68.587)
Epoch: [80][4760/7045]	Time 0.108 (0.241)	Data 0.007 (0.176)	Loss 2.6175 (2.5272)	Prec@1 37.500 (38.611)	Prec@5 71.094 (68.587)
Epoch: [80][4770/7045]	Time 0.102 (0.241)	Data 0.001 (0.176)	Loss 2.3951 (2.5272)	Prec@1 37.500 (38.611)	Prec@5 67.188 (68.585)
Epoch: [80][4780/7045]	Time 0.250 (0.241)	Data 0.192 (0.176)	Loss 2.5836 (2.5273)	Prec@1 37.109 (38.611)	Prec@5 69.141 (68.583)
Epoch: [80][4790/7045]	Time 0.139 (0.241)	Data 0.087 (0.175)	Loss 2.5698 (2.5272)	Prec@1 36.719 (38.611)	Prec@5 63.281 (68.582)
Epoch: [80][4800/7045]	Time 0.252 (0.241)	Data 0.194 (0.176)	Loss 2.2282 (2.5272)	Prec@1 39.844 (38.611)	Prec@5 75.781 (68.584)
Epoch: [80][4810/7045]	Time 0.333 (0.241)	Data 0.282 (0.176)	Loss 2.6422 (2.5272)	Prec@1 39.062 (38.612)	Prec@5 66.406 (68.583)
Epoch: [80][4820/7045]	Time 0.225 (0.241)	Data 0.167 (0.176)	Loss 2.5031 (2.5273)	Prec@1 39.453 (38.610)	Prec@5 71.094 (68.582)
Epoch: [80][4830/7045]	Time 0.604 (0.241)	Data 0.552 (0.176)	Loss 2.5696 (2.5273)	Prec@1 38.281 (38.610)	Prec@5 67.969 (68.582)
Epoch: [80][4840/7045]	Time 0.267 (0.241)	Data 0.215 (0.176)	Loss 2.5498 (2.5274)	Prec@1 43.750 (38.610)	Prec@5 68.750 (68.581)
Epoch: [80][4850/7045]	Time 0.474 (0.241)	Data 0.423 (0.176)	Loss 2.4190 (2.5273)	Prec@1 36.719 (38.609)	Prec@5 71.094 (68.583)
Epoch: [80][4860/7045]	Time 0.102 (0.241)	Data 0.006 (0.176)	Loss 2.4340 (2.5273)	Prec@1 36.328 (38.607)	Prec@5 66.797 (68.583)
Epoch: [80][4870/7045]	Time 0.295 (0.241)	Data 0.242 (0.176)	Loss 2.4459 (2.5272)	Prec@1 39.844 (38.608)	Prec@5 72.266 (68.586)
Epoch: [80][4880/7045]	Time 0.102 (0.241)	Data 0.002 (0.176)	Loss 2.5390 (2.5273)	Prec@1 42.188 (38.608)	Prec@5 65.625 (68.582)
Epoch: [80][4890/7045]	Time 0.161 (0.241)	Data 0.109 (0.176)	Loss 2.4241 (2.5274)	Prec@1 44.141 (38.608)	Prec@5 67.969 (68.581)
Epoch: [80][4900/7045]	Time 0.107 (0.241)	Data 0.054 (0.176)	Loss 2.4962 (2.5274)	Prec@1 42.578 (38.610)	Prec@5 66.406 (68.578)
Epoch: [80][4910/7045]	Time 0.107 (0.241)	Data 0.053 (0.176)	Loss 2.8058 (2.5275)	Prec@1 35.938 (38.610)	Prec@5 62.109 (68.577)
Epoch: [80][4920/7045]	Time 0.102 (0.241)	Data 0.004 (0.176)	Loss 2.6788 (2.5275)	Prec@1 39.062 (38.611)	Prec@5 66.406 (68.577)
Epoch: [80][4930/7045]	Time 0.438 (0.241)	Data 0.386 (0.176)	Loss 2.5346 (2.5274)	Prec@1 39.453 (38.614)	Prec@5 71.094 (68.580)
Epoch: [80][4940/7045]	Time 0.102 (0.241)	Data 0.004 (0.176)	Loss 2.3934 (2.5273)	Prec@1 42.188 (38.616)	Prec@5 71.875 (68.583)
Epoch: [80][4950/7045]	Time 0.723 (0.241)	Data 0.669 (0.176)	Loss 2.5482 (2.5273)	Prec@1 39.844 (38.617)	Prec@5 66.406 (68.584)
Epoch: [80][4960/7045]	Time 0.102 (0.241)	Data 0.001 (0.176)	Loss 2.6696 (2.5274)	Prec@1 35.547 (38.614)	Prec@5 66.406 (68.582)
Epoch: [80][4970/7045]	Time 0.595 (0.241)	Data 0.543 (0.176)	Loss 2.7054 (2.5276)	Prec@1 32.812 (38.610)	Prec@5 66.797 (68.579)
Epoch: [80][4980/7045]	Time 0.106 (0.241)	Data 0.053 (0.175)	Loss 2.4961 (2.5276)	Prec@1 39.062 (38.611)	Prec@5 70.703 (68.579)
Epoch: [80][4990/7045]	Time 0.633 (0.241)	Data 0.581 (0.176)	Loss 2.8214 (2.5277)	Prec@1 31.641 (38.611)	Prec@5 64.062 (68.577)
Epoch: [80][5000/7045]	Time 0.102 (0.241)	Data 0.001 (0.175)	Loss 2.6500 (2.5277)	Prec@1 39.062 (38.610)	Prec@5 69.141 (68.576)
Epoch: [80][5010/7045]	Time 0.376 (0.241)	Data 0.324 (0.175)	Loss 2.4354 (2.5278)	Prec@1 39.062 (38.607)	Prec@5 68.750 (68.574)
Epoch: [80][5020/7045]	Time 0.102 (0.241)	Data 0.004 (0.175)	Loss 2.4234 (2.5276)	Prec@1 40.625 (38.608)	Prec@5 70.703 (68.580)
Epoch: [80][5030/7045]	Time 0.106 (0.241)	Data 0.053 (0.175)	Loss 2.4303 (2.5277)	Prec@1 36.719 (38.607)	Prec@5 68.359 (68.580)
Epoch: [80][5040/7045]	Time 0.102 (0.241)	Data 0.001 (0.175)	Loss 2.6006 (2.5277)	Prec@1 38.672 (38.607)	Prec@5 65.625 (68.579)
Epoch: [80][5050/7045]	Time 0.102 (0.241)	Data 0.001 (0.175)	Loss 2.6844 (2.5277)	Prec@1 34.766 (38.607)	Prec@5 64.062 (68.579)
Epoch: [80][5060/7045]	Time 0.108 (0.241)	Data 0.055 (0.175)	Loss 2.4514 (2.5278)	Prec@1 40.234 (38.606)	Prec@5 71.875 (68.578)
Epoch: [80][5070/7045]	Time 0.102 (0.241)	Data 0.005 (0.175)	Loss 2.5896 (2.5279)	Prec@1 38.281 (38.604)	Prec@5 67.969 (68.577)
Epoch: [80][5080/7045]	Time 0.332 (0.241)	Data 0.280 (0.175)	Loss 2.7108 (2.5280)	Prec@1 38.672 (38.604)	Prec@5 62.500 (68.576)
Epoch: [80][5090/7045]	Time 0.102 (0.241)	Data 0.001 (0.175)	Loss 2.6182 (2.5280)	Prec@1 35.547 (38.604)	Prec@5 67.969 (68.577)
Epoch: [80][5100/7045]	Time 0.524 (0.241)	Data 0.473 (0.175)	Loss 2.5622 (2.5279)	Prec@1 37.109 (38.603)	Prec@5 67.188 (68.578)
Epoch: [80][5110/7045]	Time 0.102 (0.241)	Data 0.002 (0.175)	Loss 2.3727 (2.5279)	Prec@1 41.406 (38.602)	Prec@5 73.047 (68.579)
Epoch: [80][5120/7045]	Time 0.691 (0.242)	Data 0.639 (0.175)	Loss 2.5345 (2.5280)	Prec@1 35.547 (38.602)	Prec@5 68.750 (68.576)
Epoch: [80][5130/7045]	Time 0.102 (0.241)	Data 0.001 (0.175)	Loss 2.4932 (2.5278)	Prec@1 40.234 (38.604)	Prec@5 70.312 (68.578)
Epoch: [80][5140/7045]	Time 0.592 (0.241)	Data 0.534 (0.175)	Loss 2.6021 (2.5279)	Prec@1 35.938 (38.604)	Prec@5 66.406 (68.577)
Epoch: [80][5150/7045]	Time 0.134 (0.241)	Data 0.083 (0.175)	Loss 2.5703 (2.5280)	Prec@1 35.547 (38.600)	Prec@5 65.234 (68.574)
Epoch: [80][5160/7045]	Time 0.463 (0.241)	Data 0.413 (0.175)	Loss 2.5315 (2.5281)	Prec@1 40.625 (38.600)	Prec@5 67.578 (68.572)
Epoch: [80][5170/7045]	Time 0.102 (0.241)	Data 0.002 (0.175)	Loss 2.4493 (2.5280)	Prec@1 34.766 (38.599)	Prec@5 69.922 (68.574)
Epoch: [80][5180/7045]	Time 0.160 (0.241)	Data 0.107 (0.175)	Loss 2.5840 (2.5281)	Prec@1 37.500 (38.599)	Prec@5 69.141 (68.570)
Epoch: [80][5190/7045]	Time 0.108 (0.241)	Data 0.055 (0.175)	Loss 2.4585 (2.5280)	Prec@1 43.359 (38.603)	Prec@5 69.922 (68.571)
Epoch: [80][5200/7045]	Time 0.102 (0.241)	Data 0.044 (0.175)	Loss 2.6179 (2.5280)	Prec@1 42.578 (38.604)	Prec@5 71.875 (68.573)
Epoch: [80][5210/7045]	Time 0.102 (0.241)	Data 0.004 (0.175)	Loss 2.4707 (2.5279)	Prec@1 38.672 (38.604)	Prec@5 69.922 (68.573)
Epoch: [80][5220/7045]	Time 0.410 (0.241)	Data 0.350 (0.175)	Loss 2.3971 (2.5279)	Prec@1 35.156 (38.603)	Prec@5 70.312 (68.573)
Epoch: [80][5230/7045]	Time 0.103 (0.241)	Data 0.001 (0.175)	Loss 2.7310 (2.5280)	Prec@1 32.812 (38.599)	Prec@5 62.891 (68.571)
Epoch: [80][5240/7045]	Time 0.588 (0.241)	Data 0.535 (0.175)	Loss 2.6394 (2.5280)	Prec@1 35.938 (38.601)	Prec@5 65.625 (68.573)
Epoch: [80][5250/7045]	Time 0.118 (0.241)	Data 0.058 (0.175)	Loss 2.5809 (2.5279)	Prec@1 37.109 (38.602)	Prec@5 64.844 (68.572)
Epoch: [80][5260/7045]	Time 0.594 (0.241)	Data 0.542 (0.175)	Loss 2.4184 (2.5278)	Prec@1 37.891 (38.604)	Prec@5 70.312 (68.575)
Epoch: [80][5270/7045]	Time 0.229 (0.241)	Data 0.172 (0.175)	Loss 2.6614 (2.5278)	Prec@1 33.203 (38.603)	Prec@5 62.109 (68.575)
Epoch: [80][5280/7045]	Time 0.437 (0.241)	Data 0.380 (0.175)	Loss 2.3156 (2.5278)	Prec@1 39.453 (38.601)	Prec@5 74.219 (68.575)
Epoch: [80][5290/7045]	Time 0.138 (0.241)	Data 0.087 (0.175)	Loss 2.5907 (2.5278)	Prec@1 37.500 (38.602)	Prec@5 68.750 (68.574)
Epoch: [80][5300/7045]	Time 0.229 (0.241)	Data 0.170 (0.175)	Loss 2.5759 (2.5278)	Prec@1 35.547 (38.603)	Prec@5 67.578 (68.574)
Epoch: [80][5310/7045]	Time 0.104 (0.241)	Data 0.051 (0.175)	Loss 2.4598 (2.5277)	Prec@1 41.016 (38.605)	Prec@5 71.094 (68.574)
Epoch: [80][5320/7045]	Time 0.109 (0.241)	Data 0.001 (0.175)	Loss 2.5266 (2.5277)	Prec@1 35.547 (38.603)	Prec@5 69.531 (68.572)
Epoch: [80][5330/7045]	Time 0.102 (0.241)	Data 0.001 (0.175)	Loss 2.4979 (2.5278)	Prec@1 40.234 (38.602)	Prec@5 68.750 (68.570)
Epoch: [80][5340/7045]	Time 0.115 (0.241)	Data 0.063 (0.175)	Loss 2.4549 (2.5278)	Prec@1 41.016 (38.604)	Prec@5 69.922 (68.571)
Epoch: [80][5350/7045]	Time 0.162 (0.241)	Data 0.109 (0.175)	Loss 2.5595 (2.5277)	Prec@1 38.672 (38.607)	Prec@5 65.625 (68.572)
Epoch: [80][5360/7045]	Time 0.102 (0.241)	Data 0.006 (0.175)	Loss 2.6525 (2.5277)	Prec@1 33.594 (38.607)	Prec@5 64.844 (68.571)
Epoch: [80][5370/7045]	Time 0.424 (0.241)	Data 0.371 (0.175)	Loss 2.5782 (2.5276)	Prec@1 39.844 (38.609)	Prec@5 65.234 (68.572)
Epoch: [80][5380/7045]	Time 0.108 (0.241)	Data 0.006 (0.175)	Loss 2.4098 (2.5274)	Prec@1 39.844 (38.612)	Prec@5 71.484 (68.575)
Epoch: [80][5390/7045]	Time 0.715 (0.242)	Data 0.662 (0.175)	Loss 2.6950 (2.5274)	Prec@1 37.109 (38.615)	Prec@5 66.797 (68.577)
Epoch: [80][5400/7045]	Time 0.110 (0.241)	Data 0.001 (0.175)	Loss 2.6721 (2.5274)	Prec@1 36.328 (38.612)	Prec@5 67.188 (68.577)
Epoch: [80][5410/7045]	Time 0.646 (0.241)	Data 0.595 (0.175)	Loss 2.4280 (2.5275)	Prec@1 42.969 (38.613)	Prec@5 68.359 (68.576)
Epoch: [80][5420/7045]	Time 0.158 (0.241)	Data 0.108 (0.175)	Loss 2.4271 (2.5275)	Prec@1 37.500 (38.613)	Prec@5 70.312 (68.577)
Epoch: [80][5430/7045]	Time 0.512 (0.241)	Data 0.460 (0.175)	Loss 2.3365 (2.5275)	Prec@1 44.531 (38.611)	Prec@5 70.312 (68.575)
Epoch: [80][5440/7045]	Time 0.263 (0.241)	Data 0.211 (0.175)	Loss 2.5328 (2.5274)	Prec@1 38.281 (38.612)	Prec@5 69.141 (68.577)
Epoch: [80][5450/7045]	Time 0.261 (0.241)	Data 0.210 (0.175)	Loss 2.6765 (2.5274)	Prec@1 39.062 (38.616)	Prec@5 64.844 (68.578)
Epoch: [80][5460/7045]	Time 0.329 (0.241)	Data 0.276 (0.175)	Loss 2.5198 (2.5274)	Prec@1 34.766 (38.615)	Prec@5 69.141 (68.579)
Epoch: [80][5470/7045]	Time 0.116 (0.241)	Data 0.055 (0.175)	Loss 2.5678 (2.5274)	Prec@1 37.500 (38.617)	Prec@5 67.188 (68.576)
Epoch: [80][5480/7045]	Time 0.275 (0.241)	Data 0.222 (0.175)	Loss 2.5741 (2.5274)	Prec@1 44.531 (38.618)	Prec@5 66.797 (68.576)
Epoch: [80][5490/7045]	Time 0.302 (0.241)	Data 0.251 (0.175)	Loss 2.5324 (2.5274)	Prec@1 36.719 (38.616)	Prec@5 72.266 (68.576)
Epoch: [80][5500/7045]	Time 0.144 (0.241)	Data 0.093 (0.175)	Loss 2.4212 (2.5276)	Prec@1 37.891 (38.616)	Prec@5 71.484 (68.574)
Epoch: [80][5510/7045]	Time 0.383 (0.241)	Data 0.331 (0.175)	Loss 2.6184 (2.5276)	Prec@1 38.672 (38.615)	Prec@5 70.703 (68.573)
Epoch: [80][5520/7045]	Time 0.102 (0.241)	Data 0.005 (0.175)	Loss 2.5703 (2.5275)	Prec@1 37.500 (38.615)	Prec@5 67.188 (68.574)
Epoch: [80][5530/7045]	Time 0.447 (0.241)	Data 0.395 (0.175)	Loss 2.5889 (2.5275)	Prec@1 33.984 (38.615)	Prec@5 67.188 (68.575)
Epoch: [80][5540/7045]	Time 0.122 (0.241)	Data 0.064 (0.175)	Loss 2.2994 (2.5275)	Prec@1 41.016 (38.618)	Prec@5 74.609 (68.577)
Epoch: [80][5550/7045]	Time 0.332 (0.241)	Data 0.280 (0.175)	Loss 2.7788 (2.5275)	Prec@1 35.938 (38.617)	Prec@5 63.281 (68.576)
Epoch: [80][5560/7045]	Time 0.102 (0.241)	Data 0.002 (0.175)	Loss 2.5941 (2.5276)	Prec@1 37.109 (38.611)	Prec@5 68.359 (68.575)
Epoch: [80][5570/7045]	Time 0.107 (0.241)	Data 0.054 (0.175)	Loss 2.6886 (2.5276)	Prec@1 31.641 (38.611)	Prec@5 63.672 (68.573)
Epoch: [80][5580/7045]	Time 0.101 (0.241)	Data 0.003 (0.175)	Loss 2.5923 (2.5277)	Prec@1 39.062 (38.614)	Prec@5 66.016 (68.574)
Epoch: [80][5590/7045]	Time 0.293 (0.241)	Data 0.242 (0.175)	Loss 2.3756 (2.5275)	Prec@1 41.406 (38.616)	Prec@5 69.531 (68.576)
Epoch: [80][5600/7045]	Time 0.103 (0.241)	Data 0.001 (0.175)	Loss 2.2494 (2.5275)	Prec@1 41.797 (38.617)	Prec@5 72.266 (68.576)
Epoch: [80][5610/7045]	Time 0.201 (0.241)	Data 0.150 (0.175)	Loss 2.5814 (2.5275)	Prec@1 39.844 (38.617)	Prec@5 67.578 (68.574)
Epoch: [80][5620/7045]	Time 0.110 (0.241)	Data 0.057 (0.175)	Loss 2.4205 (2.5274)	Prec@1 44.141 (38.621)	Prec@5 69.141 (68.576)
Epoch: [80][5630/7045]	Time 0.112 (0.241)	Data 0.059 (0.175)	Loss 2.4844 (2.5275)	Prec@1 42.188 (38.621)	Prec@5 69.531 (68.573)
Epoch: [80][5640/7045]	Time 0.180 (0.241)	Data 0.128 (0.175)	Loss 2.5957 (2.5276)	Prec@1 37.891 (38.617)	Prec@5 66.016 (68.571)
Epoch: [80][5650/7045]	Time 0.102 (0.241)	Data 0.004 (0.175)	Loss 2.6352 (2.5275)	Prec@1 38.281 (38.618)	Prec@5 65.625 (68.572)
Epoch: [80][5660/7045]	Time 0.212 (0.241)	Data 0.160 (0.175)	Loss 2.7849 (2.5276)	Prec@1 35.547 (38.618)	Prec@5 64.062 (68.573)
Epoch: [80][5670/7045]	Time 0.108 (0.241)	Data 0.055 (0.175)	Loss 2.5527 (2.5277)	Prec@1 38.281 (38.617)	Prec@5 69.922 (68.571)
Epoch: [80][5680/7045]	Time 0.234 (0.241)	Data 0.182 (0.175)	Loss 2.5310 (2.5279)	Prec@1 39.844 (38.617)	Prec@5 66.797 (68.566)
Epoch: [80][5690/7045]	Time 0.119 (0.241)	Data 0.067 (0.175)	Loss 2.4675 (2.5278)	Prec@1 41.406 (38.618)	Prec@5 70.703 (68.568)
Epoch: [80][5700/7045]	Time 0.254 (0.241)	Data 0.202 (0.175)	Loss 2.7118 (2.5278)	Prec@1 37.109 (38.619)	Prec@5 66.016 (68.570)
Epoch: [80][5710/7045]	Time 0.216 (0.241)	Data 0.163 (0.175)	Loss 2.6601 (2.5280)	Prec@1 37.500 (38.616)	Prec@5 67.969 (68.566)
Epoch: [80][5720/7045]	Time 0.204 (0.241)	Data 0.152 (0.176)	Loss 2.4085 (2.5280)	Prec@1 42.188 (38.616)	Prec@5 72.656 (68.568)
Epoch: [80][5730/7045]	Time 0.270 (0.241)	Data 0.217 (0.176)	Loss 2.6851 (2.5281)	Prec@1 38.281 (38.617)	Prec@5 67.969 (68.567)
Epoch: [80][5740/7045]	Time 0.245 (0.241)	Data 0.187 (0.176)	Loss 2.6028 (2.5281)	Prec@1 40.625 (38.616)	Prec@5 69.922 (68.569)
Epoch: [80][5750/7045]	Time 0.270 (0.241)	Data 0.218 (0.176)	Loss 2.5217 (2.5282)	Prec@1 36.719 (38.612)	Prec@5 70.312 (68.568)
Epoch: [80][5760/7045]	Time 0.285 (0.241)	Data 0.233 (0.176)	Loss 2.4267 (2.5282)	Prec@1 42.578 (38.610)	Prec@5 69.531 (68.568)
Epoch: [80][5770/7045]	Time 0.404 (0.241)	Data 0.352 (0.176)	Loss 2.5699 (2.5283)	Prec@1 37.109 (38.608)	Prec@5 66.797 (68.567)
Epoch: [80][5780/7045]	Time 0.196 (0.241)	Data 0.140 (0.176)	Loss 2.6033 (2.5283)	Prec@1 36.328 (38.609)	Prec@5 70.312 (68.567)
Epoch: [80][5790/7045]	Time 0.400 (0.241)	Data 0.348 (0.176)	Loss 2.5984 (2.5283)	Prec@1 35.156 (38.611)	Prec@5 67.578 (68.566)
Epoch: [80][5800/7045]	Time 0.183 (0.241)	Data 0.131 (0.176)	Loss 2.2670 (2.5284)	Prec@1 47.656 (38.611)	Prec@5 70.703 (68.564)
Epoch: [80][5810/7045]	Time 0.402 (0.241)	Data 0.349 (0.176)	Loss 2.4967 (2.5283)	Prec@1 42.969 (38.613)	Prec@5 67.578 (68.565)
Epoch: [80][5820/7045]	Time 0.101 (0.241)	Data 0.007 (0.176)	Loss 2.5331 (2.5283)	Prec@1 36.719 (38.613)	Prec@5 65.625 (68.565)
Epoch: [80][5830/7045]	Time 0.403 (0.241)	Data 0.350 (0.176)	Loss 2.2699 (2.5282)	Prec@1 42.578 (38.614)	Prec@5 74.219 (68.567)
Epoch: [80][5840/7045]	Time 0.102 (0.241)	Data 0.004 (0.176)	Loss 2.5067 (2.5282)	Prec@1 40.625 (38.614)	Prec@5 70.703 (68.567)
Epoch: [80][5850/7045]	Time 0.398 (0.241)	Data 0.346 (0.176)	Loss 2.5162 (2.5283)	Prec@1 34.766 (38.614)	Prec@5 67.188 (68.565)
Epoch: [80][5860/7045]	Time 0.102 (0.241)	Data 0.044 (0.176)	Loss 2.4131 (2.5284)	Prec@1 39.062 (38.611)	Prec@5 71.484 (68.565)
Epoch: [80][5870/7045]	Time 0.537 (0.241)	Data 0.485 (0.176)	Loss 2.5836 (2.5284)	Prec@1 36.719 (38.609)	Prec@5 64.453 (68.563)
Epoch: [80][5880/7045]	Time 0.102 (0.241)	Data 0.002 (0.176)	Loss 2.4366 (2.5284)	Prec@1 41.406 (38.608)	Prec@5 67.578 (68.564)
Epoch: [80][5890/7045]	Time 0.565 (0.241)	Data 0.513 (0.176)	Loss 2.3998 (2.5285)	Prec@1 38.672 (38.607)	Prec@5 72.266 (68.563)
Epoch: [80][5900/7045]	Time 0.328 (0.241)	Data 0.277 (0.176)	Loss 2.5135 (2.5285)	Prec@1 37.500 (38.605)	Prec@5 70.703 (68.563)
Epoch: [80][5910/7045]	Time 0.417 (0.241)	Data 0.359 (0.176)	Loss 2.6375 (2.5286)	Prec@1 35.938 (38.605)	Prec@5 67.578 (68.562)
Epoch: [80][5920/7045]	Time 0.439 (0.241)	Data 0.387 (0.176)	Loss 2.1667 (2.5286)	Prec@1 46.875 (38.605)	Prec@5 76.562 (68.563)
Epoch: [80][5930/7045]	Time 0.313 (0.241)	Data 0.261 (0.176)	Loss 2.3629 (2.5285)	Prec@1 44.141 (38.605)	Prec@5 70.312 (68.564)
Epoch: [80][5940/7045]	Time 0.497 (0.241)	Data 0.444 (0.176)	Loss 2.4835 (2.5287)	Prec@1 40.625 (38.602)	Prec@5 68.359 (68.560)
Epoch: [80][5950/7045]	Time 0.201 (0.241)	Data 0.149 (0.176)	Loss 2.4950 (2.5287)	Prec@1 40.625 (38.605)	Prec@5 69.531 (68.559)
Epoch: [80][5960/7045]	Time 0.498 (0.241)	Data 0.446 (0.176)	Loss 2.4894 (2.5287)	Prec@1 40.234 (38.605)	Prec@5 69.922 (68.561)
Epoch: [80][5970/7045]	Time 0.180 (0.241)	Data 0.128 (0.176)	Loss 2.4967 (2.5287)	Prec@1 41.797 (38.606)	Prec@5 67.969 (68.560)
Epoch: [80][5980/7045]	Time 0.540 (0.241)	Data 0.488 (0.176)	Loss 2.5356 (2.5286)	Prec@1 37.109 (38.606)	Prec@5 70.703 (68.561)
Epoch: [80][5990/7045]	Time 0.102 (0.241)	Data 0.001 (0.176)	Loss 2.5660 (2.5286)	Prec@1 38.672 (38.607)	Prec@5 68.359 (68.564)
Epoch: [80][6000/7045]	Time 0.553 (0.241)	Data 0.501 (0.176)	Loss 2.4366 (2.5287)	Prec@1 38.281 (38.606)	Prec@5 70.703 (68.561)
Epoch: [80][6010/7045]	Time 0.101 (0.241)	Data 0.001 (0.176)	Loss 2.5513 (2.5288)	Prec@1 36.328 (38.605)	Prec@5 71.875 (68.561)
Epoch: [80][6020/7045]	Time 0.624 (0.241)	Data 0.571 (0.176)	Loss 2.4475 (2.5288)	Prec@1 40.234 (38.606)	Prec@5 71.094 (68.560)
Epoch: [80][6030/7045]	Time 0.102 (0.241)	Data 0.001 (0.176)	Loss 2.3495 (2.5288)	Prec@1 41.016 (38.606)	Prec@5 71.875 (68.561)
Epoch: [80][6040/7045]	Time 0.518 (0.241)	Data 0.461 (0.176)	Loss 2.3843 (2.5289)	Prec@1 41.406 (38.604)	Prec@5 71.094 (68.559)
Epoch: [80][6050/7045]	Time 0.103 (0.241)	Data 0.001 (0.175)	Loss 2.6337 (2.5291)	Prec@1 39.453 (38.603)	Prec@5 63.281 (68.553)
Epoch: [80][6060/7045]	Time 0.428 (0.241)	Data 0.375 (0.176)	Loss 2.6479 (2.5291)	Prec@1 38.672 (38.602)	Prec@5 67.969 (68.554)
Epoch: [80][6070/7045]	Time 0.102 (0.241)	Data 0.001 (0.175)	Loss 2.5062 (2.5291)	Prec@1 40.625 (38.604)	Prec@5 65.234 (68.552)
Epoch: [80][6080/7045]	Time 0.325 (0.241)	Data 0.273 (0.175)	Loss 2.6152 (2.5290)	Prec@1 36.328 (38.604)	Prec@5 66.797 (68.554)
Epoch: [80][6090/7045]	Time 0.152 (0.241)	Data 0.100 (0.175)	Loss 2.6145 (2.5290)	Prec@1 33.984 (38.603)	Prec@5 68.359 (68.554)
Epoch: [80][6100/7045]	Time 0.264 (0.241)	Data 0.212 (0.175)	Loss 2.3396 (2.5290)	Prec@1 38.672 (38.603)	Prec@5 71.484 (68.555)
Epoch: [80][6110/7045]	Time 0.113 (0.241)	Data 0.061 (0.175)	Loss 2.5672 (2.5290)	Prec@1 40.625 (38.604)	Prec@5 67.969 (68.553)
Epoch: [80][6120/7045]	Time 0.230 (0.241)	Data 0.178 (0.176)	Loss 2.6445 (2.5291)	Prec@1 37.109 (38.603)	Prec@5 65.625 (68.552)
Epoch: [80][6130/7045]	Time 0.109 (0.241)	Data 0.055 (0.176)	Loss 2.6738 (2.5291)	Prec@1 32.422 (38.604)	Prec@5 70.312 (68.552)
Epoch: [80][6140/7045]	Time 0.145 (0.241)	Data 0.092 (0.176)	Loss 2.4288 (2.5291)	Prec@1 39.844 (38.605)	Prec@5 67.188 (68.552)
Epoch: [80][6150/7045]	Time 0.102 (0.241)	Data 0.002 (0.176)	Loss 2.5880 (2.5291)	Prec@1 36.719 (38.603)	Prec@5 68.359 (68.550)
Epoch: [80][6160/7045]	Time 0.188 (0.241)	Data 0.134 (0.176)	Loss 2.4050 (2.5290)	Prec@1 44.141 (38.606)	Prec@5 70.703 (68.552)
Epoch: [80][6170/7045]	Time 0.107 (0.241)	Data 0.054 (0.176)	Loss 2.3383 (2.5289)	Prec@1 43.750 (38.608)	Prec@5 71.094 (68.554)
Epoch: [80][6180/7045]	Time 0.193 (0.241)	Data 0.140 (0.176)	Loss 2.6893 (2.5289)	Prec@1 35.156 (38.606)	Prec@5 67.188 (68.552)
Epoch: [80][6190/7045]	Time 0.134 (0.241)	Data 0.082 (0.176)	Loss 2.6292 (2.5288)	Prec@1 35.156 (38.607)	Prec@5 67.969 (68.553)
Epoch: [80][6200/7045]	Time 0.127 (0.241)	Data 0.074 (0.176)	Loss 2.6053 (2.5289)	Prec@1 34.766 (38.606)	Prec@5 67.188 (68.552)
Epoch: [80][6210/7045]	Time 0.168 (0.241)	Data 0.116 (0.176)	Loss 2.5249 (2.5288)	Prec@1 41.797 (38.606)	Prec@5 67.578 (68.553)
Epoch: [80][6220/7045]	Time 0.102 (0.241)	Data 0.001 (0.176)	Loss 2.5723 (2.5288)	Prec@1 33.984 (38.605)	Prec@5 66.797 (68.554)
Epoch: [80][6230/7045]	Time 0.224 (0.241)	Data 0.172 (0.176)	Loss 2.4594 (2.5288)	Prec@1 41.406 (38.605)	Prec@5 69.141 (68.554)
Epoch: [80][6240/7045]	Time 0.103 (0.241)	Data 0.001 (0.176)	Loss 2.5176 (2.5289)	Prec@1 42.969 (38.604)	Prec@5 67.578 (68.554)
Epoch: [80][6250/7045]	Time 0.255 (0.241)	Data 0.203 (0.176)	Loss 2.5197 (2.5289)	Prec@1 37.891 (38.603)	Prec@5 69.141 (68.553)
Epoch: [80][6260/7045]	Time 0.102 (0.241)	Data 0.003 (0.176)	Loss 2.5487 (2.5289)	Prec@1 37.891 (38.601)	Prec@5 67.188 (68.554)
Epoch: [80][6270/7045]	Time 0.202 (0.241)	Data 0.150 (0.176)	Loss 2.6933 (2.5289)	Prec@1 35.156 (38.601)	Prec@5 65.625 (68.553)
Epoch: [80][6280/7045]	Time 0.101 (0.241)	Data 0.005 (0.176)	Loss 2.5489 (2.5289)	Prec@1 37.500 (38.601)	Prec@5 71.875 (68.552)
Epoch: [80][6290/7045]	Time 0.240 (0.241)	Data 0.188 (0.176)	Loss 2.6540 (2.5290)	Prec@1 36.719 (38.598)	Prec@5 66.406 (68.550)
Epoch: [80][6300/7045]	Time 0.134 (0.241)	Data 0.081 (0.176)	Loss 2.7209 (2.5291)	Prec@1 37.891 (38.599)	Prec@5 64.844 (68.550)
Epoch: [80][6310/7045]	Time 0.256 (0.241)	Data 0.198 (0.176)	Loss 2.8849 (2.5292)	Prec@1 32.031 (38.600)	Prec@5 66.016 (68.549)
Epoch: [80][6320/7045]	Time 0.194 (0.241)	Data 0.141 (0.176)	Loss 2.3362 (2.5290)	Prec@1 41.016 (38.603)	Prec@5 70.312 (68.552)
Epoch: [80][6330/7045]	Time 0.256 (0.241)	Data 0.203 (0.176)	Loss 2.3538 (2.5289)	Prec@1 38.281 (38.604)	Prec@5 69.531 (68.553)
Epoch: [80][6340/7045]	Time 0.299 (0.241)	Data 0.248 (0.176)	Loss 2.5747 (2.5290)	Prec@1 34.375 (38.603)	Prec@5 67.969 (68.552)
Epoch: [80][6350/7045]	Time 0.186 (0.241)	Data 0.135 (0.176)	Loss 2.4865 (2.5290)	Prec@1 36.719 (38.603)	Prec@5 69.141 (68.551)
Epoch: [80][6360/7045]	Time 0.340 (0.241)	Data 0.289 (0.176)	Loss 2.5515 (2.5290)	Prec@1 39.453 (38.603)	Prec@5 70.703 (68.552)
Epoch: [80][6370/7045]	Time 0.119 (0.241)	Data 0.059 (0.176)	Loss 2.5101 (2.5289)	Prec@1 40.234 (38.603)	Prec@5 70.312 (68.552)
Epoch: [80][6380/7045]	Time 0.327 (0.241)	Data 0.275 (0.176)	Loss 2.5002 (2.5289)	Prec@1 40.234 (38.604)	Prec@5 71.094 (68.553)
Epoch: [80][6390/7045]	Time 0.102 (0.241)	Data 0.004 (0.176)	Loss 2.6839 (2.5289)	Prec@1 36.328 (38.604)	Prec@5 66.016 (68.553)
Epoch: [80][6400/7045]	Time 0.305 (0.241)	Data 0.254 (0.176)	Loss 2.3874 (2.5289)	Prec@1 39.453 (38.603)	Prec@5 68.359 (68.553)
Epoch: [80][6410/7045]	Time 0.187 (0.241)	Data 0.135 (0.176)	Loss 2.8423 (2.5289)	Prec@1 35.156 (38.603)	Prec@5 64.453 (68.553)
Epoch: [80][6420/7045]	Time 0.226 (0.241)	Data 0.173 (0.176)	Loss 2.4564 (2.5289)	Prec@1 37.891 (38.603)	Prec@5 67.578 (68.551)
Epoch: [80][6430/7045]	Time 0.356 (0.241)	Data 0.303 (0.176)	Loss 2.7759 (2.5290)	Prec@1 35.547 (38.602)	Prec@5 64.844 (68.551)
Epoch: [80][6440/7045]	Time 0.168 (0.241)	Data 0.116 (0.176)	Loss 2.6162 (2.5290)	Prec@1 37.109 (38.600)	Prec@5 65.625 (68.552)
Epoch: [80][6450/7045]	Time 0.468 (0.241)	Data 0.416 (0.176)	Loss 2.3383 (2.5289)	Prec@1 42.188 (38.604)	Prec@5 72.266 (68.552)
Epoch: [80][6460/7045]	Time 0.165 (0.241)	Data 0.113 (0.176)	Loss 2.7652 (2.5289)	Prec@1 39.062 (38.605)	Prec@5 64.062 (68.552)
Epoch: [80][6470/7045]	Time 0.535 (0.241)	Data 0.483 (0.176)	Loss 2.4644 (2.5289)	Prec@1 41.406 (38.606)	Prec@5 70.312 (68.550)
Epoch: [80][6480/7045]	Time 0.112 (0.241)	Data 0.060 (0.176)	Loss 2.6976 (2.5289)	Prec@1 33.984 (38.606)	Prec@5 66.797 (68.550)
Epoch: [80][6490/7045]	Time 0.570 (0.241)	Data 0.520 (0.176)	Loss 2.3537 (2.5288)	Prec@1 46.484 (38.607)	Prec@5 72.656 (68.553)
Epoch: [80][6500/7045]	Time 0.108 (0.241)	Data 0.004 (0.176)	Loss 2.4672 (2.5289)	Prec@1 42.578 (38.606)	Prec@5 67.578 (68.551)
Epoch: [80][6510/7045]	Time 0.533 (0.241)	Data 0.483 (0.176)	Loss 2.5723 (2.5289)	Prec@1 37.500 (38.608)	Prec@5 70.312 (68.552)
Epoch: [80][6520/7045]	Time 0.156 (0.241)	Data 0.104 (0.176)	Loss 2.6574 (2.5289)	Prec@1 37.500 (38.608)	Prec@5 64.844 (68.552)
Epoch: [80][6530/7045]	Time 0.497 (0.241)	Data 0.445 (0.176)	Loss 2.5154 (2.5289)	Prec@1 38.281 (38.608)	Prec@5 69.141 (68.552)
Epoch: [80][6540/7045]	Time 0.225 (0.241)	Data 0.173 (0.176)	Loss 2.4395 (2.5289)	Prec@1 41.406 (38.606)	Prec@5 67.969 (68.550)
Epoch: [80][6550/7045]	Time 0.540 (0.241)	Data 0.487 (0.176)	Loss 2.7895 (2.5288)	Prec@1 32.812 (38.606)	Prec@5 66.016 (68.551)
Epoch: [80][6560/7045]	Time 0.103 (0.241)	Data 0.004 (0.176)	Loss 2.6293 (2.5288)	Prec@1 35.547 (38.606)	Prec@5 64.062 (68.551)
Epoch: [80][6570/7045]	Time 0.416 (0.241)	Data 0.363 (0.176)	Loss 2.5308 (2.5288)	Prec@1 37.500 (38.605)	Prec@5 66.797 (68.552)
Epoch: [80][6580/7045]	Time 0.102 (0.241)	Data 0.005 (0.176)	Loss 2.4713 (2.5289)	Prec@1 39.062 (38.604)	Prec@5 68.359 (68.551)
Epoch: [80][6590/7045]	Time 0.334 (0.241)	Data 0.282 (0.176)	Loss 2.5936 (2.5289)	Prec@1 38.281 (38.605)	Prec@5 65.625 (68.552)
Epoch: [80][6600/7045]	Time 0.102 (0.241)	Data 0.001 (0.176)	Loss 2.5691 (2.5289)	Prec@1 39.844 (38.604)	Prec@5 67.969 (68.552)
Epoch: [80][6610/7045]	Time 0.177 (0.241)	Data 0.125 (0.176)	Loss 2.6331 (2.5289)	Prec@1 35.547 (38.605)	Prec@5 66.797 (68.552)
Epoch: [80][6620/7045]	Time 0.103 (0.241)	Data 0.001 (0.176)	Loss 2.5721 (2.5289)	Prec@1 36.328 (38.603)	Prec@5 67.188 (68.550)
Epoch: [80][6630/7045]	Time 0.193 (0.241)	Data 0.140 (0.176)	Loss 2.5182 (2.5289)	Prec@1 39.844 (38.605)	Prec@5 69.531 (68.550)
Epoch: [80][6640/7045]	Time 0.103 (0.241)	Data 0.001 (0.176)	Loss 2.2657 (2.5289)	Prec@1 46.484 (38.604)	Prec@5 70.703 (68.548)
Epoch: [80][6650/7045]	Time 0.106 (0.241)	Data 0.053 (0.176)	Loss 2.6265 (2.5289)	Prec@1 40.234 (38.607)	Prec@5 65.625 (68.547)
Epoch: [80][6660/7045]	Time 0.109 (0.241)	Data 0.001 (0.176)	Loss 2.4710 (2.5289)	Prec@1 38.672 (38.606)	Prec@5 68.750 (68.546)
Epoch: [80][6670/7045]	Time 0.102 (0.241)	Data 0.006 (0.175)	Loss 2.6250 (2.5289)	Prec@1 39.453 (38.606)	Prec@5 66.406 (68.545)
Epoch: [80][6680/7045]	Time 0.107 (0.241)	Data 0.007 (0.175)	Loss 2.6897 (2.5290)	Prec@1 37.109 (38.605)	Prec@5 66.016 (68.544)
Epoch: [80][6690/7045]	Time 0.102 (0.241)	Data 0.001 (0.175)	Loss 2.4503 (2.5290)	Prec@1 40.234 (38.605)	Prec@5 66.797 (68.544)
Epoch: [80][6700/7045]	Time 0.102 (0.241)	Data 0.006 (0.175)	Loss 2.5754 (2.5290)	Prec@1 40.234 (38.608)	Prec@5 67.188 (68.545)
Epoch: [80][6710/7045]	Time 0.107 (0.241)	Data 0.055 (0.175)	Loss 2.5346 (2.5290)	Prec@1 37.891 (38.609)	Prec@5 70.312 (68.544)
Epoch: [80][6720/7045]	Time 0.103 (0.241)	Data 0.001 (0.175)	Loss 2.7493 (2.5290)	Prec@1 32.031 (38.609)	Prec@5 66.406 (68.545)
Epoch: [80][6730/7045]	Time 0.171 (0.241)	Data 0.119 (0.175)	Loss 2.6216 (2.5290)	Prec@1 36.328 (38.610)	Prec@5 64.844 (68.546)
Epoch: [80][6740/7045]	Time 0.102 (0.241)	Data 0.008 (0.175)	Loss 2.4686 (2.5290)	Prec@1 40.234 (38.611)	Prec@5 69.922 (68.547)
Epoch: [80][6750/7045]	Time 0.126 (0.241)	Data 0.075 (0.175)	Loss 2.4017 (2.5290)	Prec@1 39.453 (38.609)	Prec@5 70.703 (68.545)
Epoch: [80][6760/7045]	Time 0.270 (0.241)	Data 0.219 (0.175)	Loss 2.7028 (2.5291)	Prec@1 33.594 (38.607)	Prec@5 67.188 (68.542)
Epoch: [80][6770/7045]	Time 0.102 (0.241)	Data 0.007 (0.175)	Loss 2.5443 (2.5292)	Prec@1 39.453 (38.605)	Prec@5 67.578 (68.539)
Epoch: [80][6780/7045]	Time 0.316 (0.241)	Data 0.263 (0.175)	Loss 2.5884 (2.5293)	Prec@1 37.500 (38.603)	Prec@5 69.531 (68.539)
Epoch: [80][6790/7045]	Time 0.102 (0.241)	Data 0.005 (0.175)	Loss 2.6102 (2.5292)	Prec@1 37.109 (38.604)	Prec@5 67.188 (68.538)
Epoch: [80][6800/7045]	Time 0.439 (0.241)	Data 0.387 (0.175)	Loss 2.5386 (2.5292)	Prec@1 35.547 (38.607)	Prec@5 68.359 (68.539)
Epoch: [80][6810/7045]	Time 0.102 (0.241)	Data 0.006 (0.175)	Loss 2.5207 (2.5292)	Prec@1 35.938 (38.606)	Prec@5 65.234 (68.538)
Epoch: [80][6820/7045]	Time 0.492 (0.241)	Data 0.440 (0.175)	Loss 2.5543 (2.5291)	Prec@1 38.281 (38.607)	Prec@5 66.016 (68.539)
Epoch: [80][6830/7045]	Time 0.110 (0.241)	Data 0.005 (0.175)	Loss 2.6520 (2.5290)	Prec@1 36.719 (38.610)	Prec@5 63.672 (68.542)
Epoch: [80][6840/7045]	Time 0.432 (0.241)	Data 0.381 (0.175)	Loss 2.5205 (2.5290)	Prec@1 38.281 (38.608)	Prec@5 70.312 (68.542)
Epoch: [80][6850/7045]	Time 0.097 (0.241)	Data 0.001 (0.175)	Loss 2.4696 (2.5290)	Prec@1 39.453 (38.609)	Prec@5 68.359 (68.542)
Epoch: [80][6860/7045]	Time 0.553 (0.241)	Data 0.501 (0.175)	Loss 2.5209 (2.5290)	Prec@1 39.844 (38.609)	Prec@5 66.016 (68.543)
Epoch: [80][6870/7045]	Time 0.106 (0.241)	Data 0.053 (0.175)	Loss 2.5552 (2.5290)	Prec@1 33.984 (38.609)	Prec@5 65.234 (68.543)
Epoch: [80][6880/7045]	Time 0.630 (0.241)	Data 0.573 (0.175)	Loss 2.6092 (2.5289)	Prec@1 35.156 (38.612)	Prec@5 61.719 (68.543)
Epoch: [80][6890/7045]	Time 0.102 (0.241)	Data 0.001 (0.175)	Loss 2.4522 (2.5288)	Prec@1 42.578 (38.615)	Prec@5 69.922 (68.545)
Epoch: [80][6900/7045]	Time 0.597 (0.241)	Data 0.545 (0.175)	Loss 2.6258 (2.5289)	Prec@1 35.156 (38.613)	Prec@5 64.844 (68.544)
Epoch: [80][6910/7045]	Time 0.112 (0.241)	Data 0.061 (0.175)	Loss 2.1984 (2.5288)	Prec@1 42.188 (38.615)	Prec@5 73.438 (68.544)
Epoch: [80][6920/7045]	Time 0.467 (0.241)	Data 0.416 (0.175)	Loss 2.3431 (2.5288)	Prec@1 42.188 (38.617)	Prec@5 72.266 (68.546)
Epoch: [80][6930/7045]	Time 0.108 (0.241)	Data 0.055 (0.175)	Loss 2.4943 (2.5288)	Prec@1 41.406 (38.619)	Prec@5 71.094 (68.546)
Epoch: [80][6940/7045]	Time 0.391 (0.241)	Data 0.339 (0.175)	Loss 2.4761 (2.5288)	Prec@1 37.500 (38.620)	Prec@5 70.312 (68.547)
Epoch: [80][6950/7045]	Time 0.108 (0.241)	Data 0.055 (0.175)	Loss 2.5345 (2.5288)	Prec@1 41.016 (38.620)	Prec@5 68.750 (68.547)
Epoch: [80][6960/7045]	Time 0.329 (0.241)	Data 0.276 (0.175)	Loss 2.4305 (2.5287)	Prec@1 39.844 (38.619)	Prec@5 70.703 (68.549)
Epoch: [80][6970/7045]	Time 0.108 (0.241)	Data 0.055 (0.175)	Loss 2.4548 (2.5288)	Prec@1 42.188 (38.619)	Prec@5 69.922 (68.549)
Epoch: [80][6980/7045]	Time 0.176 (0.241)	Data 0.123 (0.175)	Loss 2.7946 (2.5288)	Prec@1 31.250 (38.620)	Prec@5 63.281 (68.547)
Epoch: [80][6990/7045]	Time 0.221 (0.241)	Data 0.169 (0.175)	Loss 2.5639 (2.5288)	Prec@1 40.625 (38.619)	Prec@5 68.359 (68.547)
Epoch: [80][7000/7045]	Time 0.102 (0.241)	Data 0.001 (0.175)	Loss 2.4610 (2.5288)	Prec@1 35.938 (38.618)	Prec@5 72.656 (68.548)
Epoch: [80][7010/7045]	Time 0.179 (0.241)	Data 0.127 (0.175)	Loss 2.6739 (2.5289)	Prec@1 36.328 (38.616)	Prec@5 63.281 (68.546)
Epoch: [80][7020/7045]	Time 0.102 (0.241)	Data 0.008 (0.175)	Loss 2.5219 (2.5289)	Prec@1 36.328 (38.617)	Prec@5 69.141 (68.546)
Epoch: [80][7030/7045]	Time 0.213 (0.241)	Data 0.161 (0.175)	Loss 2.4860 (2.5288)	Prec@1 45.703 (38.620)	Prec@5 69.141 (68.549)
Epoch: [80][7040/7045]	Time 0.129 (0.241)	Data 0.077 (0.175)	Loss 2.7405 (2.5288)	Prec@1 29.297 (38.621)	Prec@5 63.281 (68.549)
Test: [0/143]	Time 2.142 (2.142)	Loss 2.1619 (2.1619)	Prec@1 48.828 (48.828)	Prec@5 76.172 (76.172)
Test: [10/143]	Time 0.181 (0.335)	Loss 1.6818 (1.9976)	Prec@1 60.156 (50.426)	Prec@5 82.812 (78.906)
Test: [20/143]	Time 0.153 (0.261)	Loss 2.0469 (1.9874)	Prec@1 48.828 (49.330)	Prec@5 81.250 (79.594)
Test: [30/143]	Time 0.099 (0.229)	Loss 2.2213 (2.0046)	Prec@1 48.047 (49.584)	Prec@5 70.703 (78.667)
Test: [40/143]	Time 0.140 (0.220)	Loss 2.6430 (2.0482)	Prec@1 27.344 (48.333)	Prec@5 69.141 (77.658)
Test: [50/143]	Time 0.100 (0.207)	Loss 1.8311 (2.0971)	Prec@1 46.875 (46.469)	Prec@5 82.812 (77.183)
Test: [60/143]	Time 0.194 (0.203)	Loss 2.3990 (2.0790)	Prec@1 37.500 (46.888)	Prec@5 71.875 (77.472)
Test: [70/143]	Time 0.122 (0.197)	Loss 2.9104 (2.0655)	Prec@1 25.781 (47.123)	Prec@5 65.234 (77.817)
Test: [80/143]	Time 0.246 (0.195)	Loss 1.9334 (2.0572)	Prec@1 53.906 (47.401)	Prec@5 81.250 (78.077)
Test: [90/143]	Time 0.176 (0.191)	Loss 1.7091 (2.0520)	Prec@1 55.078 (47.339)	Prec@5 87.500 (78.249)
Test: [100/143]	Time 0.294 (0.190)	Loss 1.8086 (2.0541)	Prec@1 55.078 (47.153)	Prec@5 83.594 (78.311)
Test: [110/143]	Time 0.218 (0.187)	Loss 1.8016 (2.0474)	Prec@1 52.344 (47.445)	Prec@5 82.031 (78.463)
Test: [120/143]	Time 0.278 (0.186)	Loss 1.7202 (2.0393)	Prec@1 59.375 (47.724)	Prec@5 85.547 (78.512)
Test: [130/143]	Time 0.210 (0.184)	Loss 1.6029 (2.0484)	Prec@1 65.234 (47.656)	Prec@5 81.641 (78.280)
Test: [140/143]	Time 0.218 (0.183)	Loss 2.9822 (2.0721)	Prec@1 25.781 (47.088)	Prec@5 64.453 (77.831)
 * Prec@1 47.118 Prec@5 77.844
Epoch: [81][0/7045]	Time 2.542 (2.542)	Data 2.477 (2.477)	Loss 2.4433 (2.4433)	Prec@1 38.672 (38.672)	Prec@5 71.875 (71.875)
Epoch: [81][10/7045]	Time 0.103 (0.419)	Data 0.050 (0.338)	Loss 2.5232 (2.5305)	Prec@1 39.844 (39.524)	Prec@5 72.266 (68.537)
Epoch: [81][20/7045]	Time 0.109 (0.359)	Data 0.001 (0.284)	Loss 2.4409 (2.5078)	Prec@1 41.797 (39.881)	Prec@5 69.531 (68.843)
Epoch: [81][30/7045]	Time 0.541 (0.324)	Data 0.481 (0.251)	Loss 2.3693 (2.4998)	Prec@1 42.969 (39.441)	Prec@5 71.094 (69.342)
Epoch: [81][40/7045]	Time 0.469 (0.310)	Data 0.416 (0.238)	Loss 2.5054 (2.5093)	Prec@1 36.328 (39.282)	Prec@5 67.969 (69.112)
Epoch: [81][50/7045]	Time 0.277 (0.298)	Data 0.225 (0.228)	Loss 2.7574 (2.5140)	Prec@1 35.156 (39.208)	Prec@5 63.672 (68.834)
Epoch: [81][60/7045]	Time 0.231 (0.287)	Data 0.179 (0.218)	Loss 2.6012 (2.5166)	Prec@1 37.891 (38.986)	Prec@5 66.406 (68.923)
Epoch: [81][70/7045]	Time 0.109 (0.284)	Data 0.001 (0.215)	Loss 2.3609 (2.5156)	Prec@1 42.188 (38.985)	Prec@5 73.047 (68.882)
Epoch: [81][80/7045]	Time 0.102 (0.278)	Data 0.007 (0.211)	Loss 2.4686 (2.5186)	Prec@1 39.062 (38.947)	Prec@5 71.094 (68.818)
Epoch: [81][90/7045]	Time 0.318 (0.275)	Data 0.267 (0.208)	Loss 2.4052 (2.5233)	Prec@1 38.281 (38.852)	Prec@5 71.094 (68.746)
Epoch: [81][100/7045]	Time 0.522 (0.275)	Data 0.470 (0.209)	Loss 2.4389 (2.5240)	Prec@1 41.797 (38.815)	Prec@5 69.141 (68.793)
Epoch: [81][110/7045]	Time 0.281 (0.272)	Data 0.229 (0.206)	Loss 2.3911 (2.5132)	Prec@1 44.141 (39.070)	Prec@5 71.875 (68.986)
Epoch: [81][120/7045]	Time 0.587 (0.271)	Data 0.535 (0.205)	Loss 2.5790 (2.5176)	Prec@1 35.938 (39.024)	Prec@5 69.141 (68.960)
Epoch: [81][130/7045]	Time 0.107 (0.267)	Data 0.055 (0.201)	Loss 2.4576 (2.5142)	Prec@1 42.578 (39.021)	Prec@5 69.531 (69.039)
Epoch: [81][140/7045]	Time 0.108 (0.268)	Data 0.001 (0.202)	Loss 2.4368 (2.5158)	Prec@1 42.188 (39.015)	Prec@5 68.359 (69.049)
Epoch: [81][150/7045]	Time 0.110 (0.264)	Data 0.057 (0.197)	Loss 2.6798 (2.5140)	Prec@1 34.766 (39.055)	Prec@5 62.109 (69.055)
Epoch: [81][160/7045]	Time 0.101 (0.264)	Data 0.004 (0.198)	Loss 2.4886 (2.5152)	Prec@1 37.109 (38.978)	Prec@5 68.750 (68.988)
Epoch: [81][170/7045]	Time 0.422 (0.265)	Data 0.371 (0.198)	Loss 2.5142 (2.5163)	Prec@1 38.281 (38.999)	Prec@5 72.656 (68.981)
Epoch: [81][180/7045]	Time 0.335 (0.263)	Data 0.276 (0.196)	Loss 2.5359 (2.5163)	Prec@1 41.797 (39.037)	Prec@5 67.969 (69.009)
Epoch: [81][190/7045]	Time 0.108 (0.262)	Data 0.002 (0.195)	Loss 2.4382 (2.5170)	Prec@1 41.797 (38.997)	Prec@5 67.188 (68.963)
Epoch: [81][200/7045]	Time 0.288 (0.261)	Data 0.236 (0.194)	Loss 2.4865 (2.5159)	Prec@1 39.844 (38.969)	Prec@5 70.312 (68.950)
Epoch: [81][210/7045]	Time 0.191 (0.260)	Data 0.140 (0.194)	Loss 2.4141 (2.5166)	Prec@1 41.016 (38.938)	Prec@5 71.875 (68.920)
Epoch: [81][220/7045]	Time 0.342 (0.261)	Data 0.291 (0.195)	Loss 2.2583 (2.5160)	Prec@1 42.578 (38.944)	Prec@5 73.047 (68.948)
Epoch: [81][230/7045]	Time 0.109 (0.260)	Data 0.056 (0.194)	Loss 2.5115 (2.5167)	Prec@1 39.062 (38.888)	Prec@5 68.750 (68.938)
Epoch: [81][240/7045]	Time 0.523 (0.261)	Data 0.472 (0.195)	Loss 2.7080 (2.5166)	Prec@1 35.156 (38.845)	Prec@5 64.453 (68.956)
Epoch: [81][250/7045]	Time 0.102 (0.259)	Data 0.005 (0.193)	Loss 2.6313 (2.5186)	Prec@1 38.281 (38.787)	Prec@5 65.234 (68.898)
Epoch: [81][260/7045]	Time 0.324 (0.260)	Data 0.272 (0.194)	Loss 2.4412 (2.5167)	Prec@1 37.500 (38.787)	Prec@5 67.969 (68.916)
Epoch: [81][270/7045]	Time 0.174 (0.259)	Data 0.122 (0.193)	Loss 2.3470 (2.5152)	Prec@1 41.016 (38.793)	Prec@5 70.703 (68.962)
Epoch: [81][280/7045]	Time 0.184 (0.259)	Data 0.132 (0.193)	Loss 2.7631 (2.5152)	Prec@1 38.672 (38.832)	Prec@5 59.375 (68.960)
Epoch: [81][290/7045]	Time 0.104 (0.259)	Data 0.051 (0.192)	Loss 2.5794 (2.5131)	Prec@1 35.547 (38.840)	Prec@5 71.484 (69.006)
Epoch: [81][300/7045]	Time 0.101 (0.258)	Data 0.001 (0.192)	Loss 2.4116 (2.5120)	Prec@1 45.312 (38.883)	Prec@5 69.141 (68.998)
Epoch: [81][310/7045]	Time 0.497 (0.259)	Data 0.441 (0.192)	Loss 2.5831 (2.5117)	Prec@1 35.547 (38.869)	Prec@5 66.406 (69.018)
Epoch: [81][320/7045]	Time 0.172 (0.258)	Data 0.121 (0.192)	Loss 2.6135 (2.5131)	Prec@1 37.891 (38.852)	Prec@5 64.453 (68.956)
Epoch: [81][330/7045]	Time 0.169 (0.259)	Data 0.119 (0.192)	Loss 2.5070 (2.5121)	Prec@1 36.328 (38.877)	Prec@5 67.578 (68.960)
Epoch: [81][340/7045]	Time 0.102 (0.258)	Data 0.001 (0.192)	Loss 2.5519 (2.5130)	Prec@1 38.672 (38.848)	Prec@5 65.625 (68.912)
Epoch: [81][350/7045]	Time 0.249 (0.259)	Data 0.198 (0.192)	Loss 2.6330 (2.5128)	Prec@1 36.719 (38.858)	Prec@5 68.750 (68.936)
Epoch: [81][360/7045]	Time 0.740 (0.259)	Data 0.688 (0.193)	Loss 2.5385 (2.5130)	Prec@1 35.547 (38.831)	Prec@5 69.531 (68.914)
Epoch: [81][370/7045]	Time 0.102 (0.258)	Data 0.001 (0.191)	Loss 2.4688 (2.5128)	Prec@1 37.109 (38.847)	Prec@5 69.531 (68.913)
Epoch: [81][380/7045]	Time 0.653 (0.258)	Data 0.602 (0.191)	Loss 2.4423 (2.5129)	Prec@1 42.188 (38.855)	Prec@5 69.922 (68.907)
Epoch: [81][390/7045]	Time 0.102 (0.257)	Data 0.001 (0.190)	Loss 2.5606 (2.5128)	Prec@1 42.969 (38.828)	Prec@5 67.969 (68.898)
Epoch: [81][400/7045]	Time 0.229 (0.257)	Data 0.177 (0.190)	Loss 2.5315 (2.5135)	Prec@1 34.766 (38.808)	Prec@5 71.094 (68.905)
Epoch: [81][410/7045]	Time 0.102 (0.257)	Data 0.001 (0.190)	Loss 2.5586 (2.5140)	Prec@1 38.672 (38.794)	Prec@5 66.406 (68.890)
Epoch: [81][420/7045]	Time 0.109 (0.257)	Data 0.055 (0.189)	Loss 2.5012 (2.5140)	Prec@1 39.062 (38.818)	Prec@5 68.750 (68.898)
Epoch: [81][430/7045]	Time 0.536 (0.257)	Data 0.478 (0.190)	Loss 2.6331 (2.5136)	Prec@1 37.109 (38.836)	Prec@5 66.797 (68.883)
Epoch: [81][440/7045]	Time 0.419 (0.257)	Data 0.366 (0.190)	Loss 2.5045 (2.5133)	Prec@1 39.453 (38.838)	Prec@5 68.750 (68.877)
Epoch: [81][450/7045]	Time 0.219 (0.257)	Data 0.167 (0.190)	Loss 2.6624 (2.5149)	Prec@1 32.812 (38.787)	Prec@5 66.406 (68.826)
Epoch: [81][460/7045]	Time 0.108 (0.257)	Data 0.054 (0.190)	Loss 2.5906 (2.5148)	Prec@1 33.594 (38.791)	Prec@5 66.797 (68.823)
Epoch: [81][470/7045]	Time 0.207 (0.256)	Data 0.156 (0.189)	Loss 2.6591 (2.5148)	Prec@1 35.156 (38.791)	Prec@5 65.625 (68.797)
Epoch: [81][480/7045]	Time 0.159 (0.257)	Data 0.106 (0.189)	Loss 2.6135 (2.5153)	Prec@1 32.422 (38.759)	Prec@5 65.234 (68.794)
Epoch: [81][490/7045]	Time 0.101 (0.256)	Data 0.001 (0.189)	Loss 2.7927 (2.5150)	Prec@1 33.984 (38.808)	Prec@5 65.625 (68.796)
Epoch: [81][500/7045]	Time 0.094 (0.256)	Data 0.001 (0.189)	Loss 2.5993 (2.5138)	Prec@1 37.109 (38.834)	Prec@5 66.406 (68.812)
Epoch: [81][510/7045]	Time 0.511 (0.256)	Data 0.457 (0.189)	Loss 2.6263 (2.5138)	Prec@1 33.594 (38.824)	Prec@5 67.969 (68.808)
Epoch: [81][520/7045]	Time 0.101 (0.256)	Data 0.001 (0.188)	Loss 2.4585 (2.5143)	Prec@1 41.797 (38.829)	Prec@5 69.531 (68.802)
Epoch: [81][530/7045]	Time 0.602 (0.256)	Data 0.550 (0.188)	Loss 2.3859 (2.5136)	Prec@1 38.672 (38.837)	Prec@5 71.875 (68.821)
Epoch: [81][540/7045]	Time 0.116 (0.255)	Data 0.065 (0.188)	Loss 2.5286 (2.5135)	Prec@1 40.625 (38.837)	Prec@5 68.750 (68.822)
Epoch: [81][550/7045]	Time 0.201 (0.255)	Data 0.150 (0.188)	Loss 2.6777 (2.5148)	Prec@1 32.812 (38.812)	Prec@5 66.797 (68.797)
Epoch: [81][560/7045]	Time 0.109 (0.255)	Data 0.056 (0.188)	Loss 2.6063 (2.5160)	Prec@1 37.109 (38.788)	Prec@5 65.234 (68.775)
Epoch: [81][570/7045]	Time 0.103 (0.255)	Data 0.001 (0.188)	Loss 2.5969 (2.5166)	Prec@1 40.234 (38.758)	Prec@5 65.234 (68.747)
Epoch: [81][580/7045]	Time 0.102 (0.255)	Data 0.001 (0.188)	Loss 2.5213 (2.5172)	Prec@1 39.844 (38.747)	Prec@5 69.141 (68.747)
Epoch: [81][590/7045]	Time 0.449 (0.255)	Data 0.397 (0.188)	Loss 2.4313 (2.5165)	Prec@1 37.500 (38.763)	Prec@5 69.922 (68.746)
Epoch: [81][600/7045]	Time 0.138 (0.255)	Data 0.085 (0.188)	Loss 2.5727 (2.5157)	Prec@1 38.281 (38.775)	Prec@5 66.016 (68.755)
Epoch: [81][610/7045]	Time 0.268 (0.255)	Data 0.216 (0.188)	Loss 2.5491 (2.5162)	Prec@1 39.062 (38.774)	Prec@5 68.359 (68.749)
Epoch: [81][620/7045]	Time 0.132 (0.255)	Data 0.081 (0.188)	Loss 2.2893 (2.5155)	Prec@1 43.750 (38.794)	Prec@5 72.656 (68.758)
Epoch: [81][630/7045]	Time 0.512 (0.255)	Data 0.459 (0.188)	Loss 2.3576 (2.5148)	Prec@1 42.969 (38.815)	Prec@5 72.656 (68.767)
Epoch: [81][640/7045]	Time 0.102 (0.254)	Data 0.016 (0.188)	Loss 2.4758 (2.5140)	Prec@1 39.844 (38.846)	Prec@5 69.922 (68.785)
Epoch: [81][650/7045]	Time 0.239 (0.254)	Data 0.188 (0.188)	Loss 2.3320 (2.5143)	Prec@1 41.016 (38.833)	Prec@5 72.656 (68.785)
Epoch: [81][660/7045]	Time 0.102 (0.254)	Data 0.006 (0.188)	Loss 2.3118 (2.5137)	Prec@1 43.750 (38.849)	Prec@5 70.703 (68.793)
Epoch: [81][670/7045]	Time 0.293 (0.254)	Data 0.242 (0.188)	Loss 2.5875 (2.5138)	Prec@1 35.547 (38.833)	Prec@5 70.312 (68.788)
Epoch: [81][680/7045]	Time 0.109 (0.254)	Data 0.058 (0.188)	Loss 2.6485 (2.5136)	Prec@1 33.984 (38.838)	Prec@5 66.406 (68.775)
Epoch: [81][690/7045]	Time 0.531 (0.254)	Data 0.479 (0.188)	Loss 2.6544 (2.5151)	Prec@1 38.672 (38.823)	Prec@5 64.844 (68.732)
Epoch: [81][700/7045]	Time 0.147 (0.254)	Data 0.095 (0.188)	Loss 2.7436 (2.5159)	Prec@1 33.594 (38.802)	Prec@5 62.500 (68.711)
Epoch: [81][710/7045]	Time 0.527 (0.254)	Data 0.474 (0.188)	Loss 2.5570 (2.5155)	Prec@1 38.281 (38.812)	Prec@5 69.531 (68.716)
Epoch: [81][720/7045]	Time 0.101 (0.254)	Data 0.015 (0.188)	Loss 2.3226 (2.5152)	Prec@1 43.750 (38.817)	Prec@5 71.094 (68.720)
Epoch: [81][730/7045]	Time 0.288 (0.254)	Data 0.235 (0.187)	Loss 2.5189 (2.5148)	Prec@1 40.625 (38.826)	Prec@5 68.359 (68.714)
Epoch: [81][740/7045]	Time 0.289 (0.254)	Data 0.238 (0.188)	Loss 2.5844 (2.5146)	Prec@1 34.766 (38.837)	Prec@5 65.234 (68.721)
Epoch: [81][750/7045]	Time 0.339 (0.254)	Data 0.279 (0.188)	Loss 2.4908 (2.5146)	Prec@1 35.547 (38.837)	Prec@5 71.484 (68.728)
Epoch: [81][760/7045]	Time 0.109 (0.254)	Data 0.001 (0.188)	Loss 2.4451 (2.5151)	Prec@1 39.844 (38.836)	Prec@5 69.141 (68.719)
Epoch: [81][770/7045]	Time 0.102 (0.254)	Data 0.001 (0.188)	Loss 2.5320 (2.5152)	Prec@1 37.891 (38.837)	Prec@5 69.531 (68.711)
Epoch: [81][780/7045]	Time 0.152 (0.254)	Data 0.101 (0.188)	Loss 2.6826 (2.5152)	Prec@1 37.500 (38.840)	Prec@5 66.406 (68.714)
Epoch: [81][790/7045]	Time 0.518 (0.254)	Data 0.468 (0.188)	Loss 2.5570 (2.5149)	Prec@1 37.891 (38.853)	Prec@5 67.969 (68.717)
Epoch: [81][800/7045]	Time 0.101 (0.254)	Data 0.001 (0.187)	Loss 2.5632 (2.5152)	Prec@1 40.234 (38.854)	Prec@5 68.359 (68.723)
Epoch: [81][810/7045]	Time 0.109 (0.254)	Data 0.009 (0.188)	Loss 2.7598 (2.5156)	Prec@1 35.938 (38.849)	Prec@5 61.719 (68.708)
Epoch: [81][820/7045]	Time 0.111 (0.254)	Data 0.059 (0.187)	Loss 2.6358 (2.5155)	Prec@1 35.938 (38.858)	Prec@5 64.844 (68.722)
Epoch: [81][830/7045]	Time 0.116 (0.254)	Data 0.064 (0.187)	Loss 2.5912 (2.5159)	Prec@1 39.453 (38.856)	Prec@5 68.359 (68.706)
Epoch: [81][840/7045]	Time 0.721 (0.254)	Data 0.664 (0.188)	Loss 2.5115 (2.5153)	Prec@1 39.062 (38.852)	Prec@5 68.359 (68.731)
Epoch: [81][850/7045]	Time 0.101 (0.254)	Data 0.001 (0.187)	Loss 2.4316 (2.5157)	Prec@1 39.062 (38.846)	Prec@5 71.484 (68.729)
Epoch: [81][860/7045]	Time 0.549 (0.254)	Data 0.496 (0.187)	Loss 2.3913 (2.5153)	Prec@1 39.453 (38.850)	Prec@5 74.219 (68.753)
Epoch: [81][870/7045]	Time 0.319 (0.254)	Data 0.267 (0.187)	Loss 2.6883 (2.5156)	Prec@1 35.547 (38.845)	Prec@5 69.141 (68.741)
Epoch: [81][880/7045]	Time 0.140 (0.254)	Data 0.089 (0.187)	Loss 2.4023 (2.5158)	Prec@1 40.234 (38.844)	Prec@5 71.875 (68.745)
Epoch: [81][890/7045]	Time 0.219 (0.254)	Data 0.168 (0.187)	Loss 2.2955 (2.5149)	Prec@1 41.016 (38.850)	Prec@5 71.875 (68.756)
Epoch: [81][900/7045]	Time 0.317 (0.254)	Data 0.264 (0.187)	Loss 2.4783 (2.5152)	Prec@1 37.891 (38.842)	Prec@5 68.750 (68.748)
Epoch: [81][910/7045]	Time 0.101 (0.254)	Data 0.001 (0.187)	Loss 2.3916 (2.5148)	Prec@1 35.938 (38.839)	Prec@5 73.828 (68.756)
Epoch: [81][920/7045]	Time 0.232 (0.254)	Data 0.181 (0.187)	Loss 2.4707 (2.5148)	Prec@1 42.188 (38.852)	Prec@5 69.141 (68.767)
Epoch: [81][930/7045]	Time 0.107 (0.254)	Data 0.054 (0.186)	Loss 2.5396 (2.5155)	Prec@1 38.672 (38.829)	Prec@5 73.438 (68.762)
Epoch: [81][940/7045]	Time 0.144 (0.254)	Data 0.093 (0.187)	Loss 2.3402 (2.5153)	Prec@1 39.844 (38.826)	Prec@5 70.703 (68.763)
Epoch: [81][950/7045]	Time 0.328 (0.254)	Data 0.271 (0.187)	Loss 2.7647 (2.5152)	Prec@1 37.891 (38.840)	Prec@5 65.625 (68.772)
Epoch: [81][960/7045]	Time 0.101 (0.253)	Data 0.007 (0.187)	Loss 2.4074 (2.5153)	Prec@1 38.281 (38.842)	Prec@5 71.094 (68.769)
Epoch: [81][970/7045]	Time 0.257 (0.254)	Data 0.198 (0.187)	Loss 2.3971 (2.5157)	Prec@1 42.578 (38.843)	Prec@5 69.922 (68.760)
Epoch: [81][980/7045]	Time 0.454 (0.254)	Data 0.402 (0.187)	Loss 2.3122 (2.5152)	Prec@1 48.438 (38.847)	Prec@5 71.875 (68.763)
Epoch: [81][990/7045]	Time 0.101 (0.254)	Data 0.001 (0.187)	Loss 2.4284 (2.5149)	Prec@1 41.797 (38.849)	Prec@5 69.922 (68.765)
Epoch: [81][1000/7045]	Time 0.113 (0.254)	Data 0.054 (0.187)	Loss 2.4903 (2.5145)	Prec@1 35.938 (38.848)	Prec@5 71.484 (68.781)
Epoch: [81][1010/7045]	Time 0.102 (0.254)	Data 0.001 (0.187)	Loss 2.6247 (2.5152)	Prec@1 40.625 (38.843)	Prec@5 66.797 (68.763)
Epoch: [81][1020/7045]	Time 0.102 (0.254)	Data 0.004 (0.187)	Loss 2.3738 (2.5150)	Prec@1 43.359 (38.846)	Prec@5 71.875 (68.760)
Epoch: [81][1030/7045]	Time 0.618 (0.254)	Data 0.567 (0.187)	Loss 2.6412 (2.5150)	Prec@1 37.500 (38.850)	Prec@5 67.969 (68.761)
Epoch: [81][1040/7045]	Time 0.543 (0.254)	Data 0.491 (0.187)	Loss 2.5917 (2.5149)	Prec@1 39.453 (38.840)	Prec@5 66.797 (68.765)
Epoch: [81][1050/7045]	Time 0.103 (0.254)	Data 0.001 (0.187)	Loss 2.4381 (2.5144)	Prec@1 42.969 (38.844)	Prec@5 70.703 (68.765)
Epoch: [81][1060/7045]	Time 0.102 (0.254)	Data 0.013 (0.187)	Loss 2.5185 (2.5139)	Prec@1 39.062 (38.854)	Prec@5 71.484 (68.776)
Epoch: [81][1070/7045]	Time 0.107 (0.254)	Data 0.053 (0.186)	Loss 2.4428 (2.5144)	Prec@1 37.891 (38.853)	Prec@5 69.922 (68.767)
Epoch: [81][1080/7045]	Time 0.490 (0.254)	Data 0.438 (0.187)	Loss 2.7814 (2.5147)	Prec@1 32.031 (38.856)	Prec@5 63.281 (68.762)
Epoch: [81][1090/7045]	Time 0.265 (0.253)	Data 0.213 (0.186)	Loss 2.6216 (2.5152)	Prec@1 35.547 (38.839)	Prec@5 67.578 (68.754)
Epoch: [81][1100/7045]	Time 0.113 (0.253)	Data 0.061 (0.186)	Loss 2.5178 (2.5160)	Prec@1 36.719 (38.823)	Prec@5 69.141 (68.747)
Epoch: [81][1110/7045]	Time 0.174 (0.253)	Data 0.123 (0.187)	Loss 2.5479 (2.5155)	Prec@1 34.766 (38.826)	Prec@5 69.141 (68.756)
Epoch: [81][1120/7045]	Time 0.285 (0.253)	Data 0.232 (0.187)	Loss 2.5117 (2.5154)	Prec@1 34.375 (38.818)	Prec@5 69.141 (68.764)
Epoch: [81][1130/7045]	Time 0.139 (0.253)	Data 0.087 (0.187)	Loss 2.3981 (2.5156)	Prec@1 39.453 (38.814)	Prec@5 69.922 (68.765)
Epoch: [81][1140/7045]	Time 0.433 (0.254)	Data 0.382 (0.187)	Loss 2.5553 (2.5159)	Prec@1 39.844 (38.808)	Prec@5 66.406 (68.752)
Epoch: [81][1150/7045]	Time 0.217 (0.253)	Data 0.165 (0.186)	Loss 2.5563 (2.5166)	Prec@1 39.453 (38.806)	Prec@5 70.703 (68.744)
Epoch: [81][1160/7045]	Time 0.373 (0.253)	Data 0.321 (0.187)	Loss 2.3694 (2.5163)	Prec@1 42.969 (38.809)	Prec@5 72.266 (68.753)
Epoch: [81][1170/7045]	Time 0.519 (0.253)	Data 0.462 (0.186)	Loss 2.4996 (2.5161)	Prec@1 39.062 (38.825)	Prec@5 68.359 (68.753)
Epoch: [81][1180/7045]	Time 0.113 (0.253)	Data 0.061 (0.186)	Loss 2.5795 (2.5165)	Prec@1 37.109 (38.811)	Prec@5 69.922 (68.745)
Epoch: [81][1190/7045]	Time 0.319 (0.253)	Data 0.268 (0.186)	Loss 2.5561 (2.5167)	Prec@1 39.062 (38.812)	Prec@5 71.875 (68.748)
Epoch: [81][1200/7045]	Time 0.103 (0.253)	Data 0.050 (0.186)	Loss 2.5508 (2.5168)	Prec@1 40.234 (38.812)	Prec@5 67.188 (68.745)
Epoch: [81][1210/7045]	Time 0.403 (0.253)	Data 0.344 (0.186)	Loss 2.6101 (2.5165)	Prec@1 36.328 (38.824)	Prec@5 68.750 (68.750)
Epoch: [81][1220/7045]	Time 0.500 (0.253)	Data 0.447 (0.186)	Loss 2.6361 (2.5173)	Prec@1 35.938 (38.811)	Prec@5 67.578 (68.737)
Epoch: [81][1230/7045]	Time 0.107 (0.253)	Data 0.007 (0.186)	Loss 2.5026 (2.5177)	Prec@1 39.062 (38.798)	Prec@5 66.406 (68.737)
Epoch: [81][1240/7045]	Time 0.100 (0.253)	Data 0.003 (0.186)	Loss 2.4422 (2.5179)	Prec@1 41.016 (38.799)	Prec@5 71.094 (68.733)
Epoch: [81][1250/7045]	Time 0.102 (0.253)	Data 0.001 (0.186)	Loss 2.7190 (2.5178)	Prec@1 35.156 (38.797)	Prec@5 66.797 (68.730)
Epoch: [81][1260/7045]	Time 0.301 (0.253)	Data 0.251 (0.186)	Loss 2.7012 (2.5186)	Prec@1 39.062 (38.788)	Prec@5 62.109 (68.710)
Epoch: [81][1270/7045]	Time 0.184 (0.253)	Data 0.132 (0.186)	Loss 2.4238 (2.5189)	Prec@1 41.406 (38.787)	Prec@5 70.703 (68.701)
Epoch: [81][1280/7045]	Time 0.111 (0.253)	Data 0.060 (0.186)	Loss 2.6784 (2.5192)	Prec@1 36.719 (38.781)	Prec@5 68.359 (68.697)
Epoch: [81][1290/7045]	Time 0.616 (0.253)	Data 0.565 (0.186)	Loss 2.6308 (2.5191)	Prec@1 37.500 (38.779)	Prec@5 70.312 (68.699)
Epoch: [81][1300/7045]	Time 0.102 (0.252)	Data 0.005 (0.186)	Loss 2.6482 (2.5189)	Prec@1 36.719 (38.781)	Prec@5 67.969 (68.710)
Epoch: [81][1310/7045]	Time 0.348 (0.253)	Data 0.297 (0.186)	Loss 2.4758 (2.5192)	Prec@1 40.625 (38.773)	Prec@5 69.531 (68.704)
Epoch: [81][1320/7045]	Time 0.102 (0.252)	Data 0.001 (0.185)	Loss 2.5122 (2.5192)	Prec@1 39.844 (38.772)	Prec@5 64.844 (68.704)
Epoch: [81][1330/7045]	Time 0.195 (0.252)	Data 0.136 (0.186)	Loss 2.6070 (2.5195)	Prec@1 33.984 (38.762)	Prec@5 67.969 (68.701)
Epoch: [81][1340/7045]	Time 0.682 (0.253)	Data 0.631 (0.186)	Loss 2.6874 (2.5197)	Prec@1 35.938 (38.762)	Prec@5 67.188 (68.700)
Epoch: [81][1350/7045]	Time 0.169 (0.252)	Data 0.117 (0.185)	Loss 2.5399 (2.5197)	Prec@1 37.891 (38.763)	Prec@5 66.797 (68.702)
Epoch: [81][1360/7045]	Time 0.415 (0.252)	Data 0.356 (0.186)	Loss 2.4011 (2.5198)	Prec@1 41.016 (38.751)	Prec@5 70.703 (68.699)
Epoch: [81][1370/7045]	Time 0.102 (0.252)	Data 0.001 (0.185)	Loss 2.5260 (2.5199)	Prec@1 37.891 (38.754)	Prec@5 70.703 (68.700)
Epoch: [81][1380/7045]	Time 0.108 (0.252)	Data 0.003 (0.185)	Loss 2.7193 (2.5202)	Prec@1 35.547 (38.750)	Prec@5 66.406 (68.688)
Epoch: [81][1390/7045]	Time 0.987 (0.253)	Data 0.935 (0.186)	Loss 2.3776 (2.5197)	Prec@1 42.188 (38.762)	Prec@5 73.438 (68.700)
Epoch: [81][1400/7045]	Time 0.110 (0.252)	Data 0.059 (0.185)	Loss 2.4212 (2.5198)	Prec@1 42.578 (38.766)	Prec@5 73.047 (68.698)
Epoch: [81][1410/7045]	Time 0.183 (0.252)	Data 0.131 (0.185)	Loss 2.7566 (2.5199)	Prec@1 34.375 (38.764)	Prec@5 65.625 (68.702)
Epoch: [81][1420/7045]	Time 0.102 (0.252)	Data 0.001 (0.185)	Loss 2.3883 (2.5196)	Prec@1 41.406 (38.762)	Prec@5 73.828 (68.707)
Epoch: [81][1430/7045]	Time 0.200 (0.252)	Data 0.149 (0.185)	Loss 2.3861 (2.5196)	Prec@1 37.891 (38.761)	Prec@5 70.703 (68.704)
Epoch: [81][1440/7045]	Time 0.633 (0.252)	Data 0.581 (0.185)	Loss 2.4394 (2.5195)	Prec@1 40.625 (38.762)	Prec@5 72.656 (68.704)
Epoch: [81][1450/7045]	Time 0.101 (0.252)	Data 0.001 (0.185)	Loss 2.5618 (2.5194)	Prec@1 41.406 (38.760)	Prec@5 71.094 (68.704)
Epoch: [81][1460/7045]	Time 0.410 (0.252)	Data 0.352 (0.185)	Loss 2.4209 (2.5194)	Prec@1 43.359 (38.762)	Prec@5 71.094 (68.706)
Epoch: [81][1470/7045]	Time 0.459 (0.252)	Data 0.406 (0.185)	Loss 2.6053 (2.5190)	Prec@1 37.891 (38.767)	Prec@5 65.625 (68.710)
Epoch: [81][1480/7045]	Time 0.101 (0.252)	Data 0.002 (0.185)	Loss 2.7047 (2.5194)	Prec@1 35.547 (38.763)	Prec@5 61.719 (68.703)
Epoch: [81][1490/7045]	Time 0.110 (0.252)	Data 0.001 (0.186)	Loss 2.5697 (2.5194)	Prec@1 37.891 (38.762)	Prec@5 69.922 (68.710)
Epoch: [81][1500/7045]	Time 0.192 (0.252)	Data 0.139 (0.185)	Loss 2.3855 (2.5195)	Prec@1 42.188 (38.755)	Prec@5 73.047 (68.710)
Epoch: [81][1510/7045]	Time 0.102 (0.252)	Data 0.004 (0.185)	Loss 2.4673 (2.5195)	Prec@1 41.797 (38.759)	Prec@5 67.578 (68.706)
Epoch: [81][1520/7045]	Time 0.796 (0.253)	Data 0.745 (0.185)	Loss 2.3221 (2.5194)	Prec@1 37.109 (38.754)	Prec@5 71.875 (68.712)
Epoch: [81][1530/7045]	Time 0.100 (0.252)	Data 0.001 (0.185)	Loss 2.3665 (2.5190)	Prec@1 35.938 (38.755)	Prec@5 73.438 (68.722)
Epoch: [81][1540/7045]	Time 0.393 (0.252)	Data 0.335 (0.185)	Loss 2.4786 (2.5189)	Prec@1 42.188 (38.755)	Prec@5 68.750 (68.725)
Epoch: [81][1550/7045]	Time 0.204 (0.252)	Data 0.152 (0.185)	Loss 2.3246 (2.5186)	Prec@1 43.750 (38.756)	Prec@5 70.703 (68.729)
Epoch: [81][1560/7045]	Time 0.101 (0.252)	Data 0.001 (0.185)	Loss 2.6428 (2.5189)	Prec@1 37.891 (38.753)	Prec@5 66.797 (68.721)
Epoch: [81][1570/7045]	Time 0.231 (0.252)	Data 0.179 (0.185)	Loss 2.5856 (2.5193)	Prec@1 37.891 (38.744)	Prec@5 67.188 (68.710)
Epoch: [81][1580/7045]	Time 0.102 (0.252)	Data 0.001 (0.185)	Loss 2.6224 (2.5195)	Prec@1 36.328 (38.739)	Prec@5 68.359 (68.708)
Epoch: [81][1590/7045]	Time 0.102 (0.252)	Data 0.001 (0.185)	Loss 2.6307 (2.5194)	Prec@1 39.453 (38.747)	Prec@5 64.844 (68.710)
Epoch: [81][1600/7045]	Time 0.102 (0.252)	Data 0.001 (0.185)	Loss 2.6511 (2.5194)	Prec@1 35.547 (38.748)	Prec@5 66.797 (68.712)
Epoch: [81][1610/7045]	Time 0.106 (0.252)	Data 0.053 (0.185)	Loss 2.4099 (2.5194)	Prec@1 41.406 (38.748)	Prec@5 68.359 (68.711)
Epoch: [81][1620/7045]	Time 0.110 (0.252)	Data 0.059 (0.184)	Loss 2.4699 (2.5193)	Prec@1 39.453 (38.749)	Prec@5 73.828 (68.717)
Epoch: [81][1630/7045]	Time 0.103 (0.252)	Data 0.007 (0.185)	Loss 2.5118 (2.5194)	Prec@1 39.062 (38.754)	Prec@5 69.922 (68.712)
Epoch: [81][1640/7045]	Time 0.660 (0.252)	Data 0.608 (0.185)	Loss 2.5973 (2.5196)	Prec@1 36.328 (38.749)	Prec@5 64.844 (68.710)
Epoch: [81][1650/7045]	Time 0.111 (0.252)	Data 0.001 (0.184)	Loss 2.6345 (2.5196)	Prec@1 34.766 (38.746)	Prec@5 69.531 (68.709)
Epoch: [81][1660/7045]	Time 0.648 (0.252)	Data 0.587 (0.185)	Loss 2.4488 (2.5194)	Prec@1 40.625 (38.754)	Prec@5 69.922 (68.711)
Epoch: [81][1670/7045]	Time 0.247 (0.252)	Data 0.195 (0.184)	Loss 2.6114 (2.5199)	Prec@1 33.594 (38.743)	Prec@5 69.922 (68.698)
Epoch: [81][1680/7045]	Time 0.109 (0.252)	Data 0.008 (0.185)	Loss 2.5506 (2.5197)	Prec@1 40.234 (38.752)	Prec@5 67.188 (68.699)
Epoch: [81][1690/7045]	Time 0.101 (0.252)	Data 0.001 (0.184)	Loss 2.4596 (2.5202)	Prec@1 36.719 (38.745)	Prec@5 70.703 (68.694)
Epoch: [81][1700/7045]	Time 0.103 (0.252)	Data 0.004 (0.184)	Loss 2.5688 (2.5200)	Prec@1 39.062 (38.748)	Prec@5 67.969 (68.694)
Epoch: [81][1710/7045]	Time 0.420 (0.252)	Data 0.368 (0.184)	Loss 2.5650 (2.5200)	Prec@1 40.234 (38.747)	Prec@5 66.406 (68.691)
Epoch: [81][1720/7045]	Time 0.102 (0.252)	Data 0.001 (0.185)	Loss 2.6357 (2.5206)	Prec@1 33.594 (38.737)	Prec@5 67.969 (68.679)
Epoch: [81][1730/7045]	Time 0.219 (0.252)	Data 0.168 (0.184)	Loss 2.4166 (2.5207)	Prec@1 40.234 (38.731)	Prec@5 70.703 (68.677)
Epoch: [81][1740/7045]	Time 0.107 (0.252)	Data 0.054 (0.184)	Loss 2.4394 (2.5204)	Prec@1 39.062 (38.742)	Prec@5 72.266 (68.682)
Epoch: [81][1750/7045]	Time 0.102 (0.252)	Data 0.001 (0.184)	Loss 2.5120 (2.5200)	Prec@1 38.281 (38.748)	Prec@5 68.359 (68.691)
Epoch: [81][1760/7045]	Time 0.107 (0.252)	Data 0.001 (0.184)	Loss 2.4672 (2.5199)	Prec@1 42.969 (38.758)	Prec@5 70.312 (68.696)
Epoch: [81][1770/7045]	Time 0.386 (0.252)	Data 0.334 (0.184)	Loss 2.5063 (2.5199)	Prec@1 39.844 (38.759)	Prec@5 71.484 (68.698)
Epoch: [81][1780/7045]	Time 0.380 (0.252)	Data 0.328 (0.185)	Loss 2.6021 (2.5200)	Prec@1 37.109 (38.753)	Prec@5 62.891 (68.691)
Epoch: [81][1790/7045]	Time 0.392 (0.252)	Data 0.339 (0.184)	Loss 2.4131 (2.5198)	Prec@1 40.625 (38.753)	Prec@5 68.750 (68.698)
Epoch: [81][1800/7045]	Time 0.110 (0.252)	Data 0.001 (0.185)	Loss 2.3213 (2.5197)	Prec@1 42.188 (38.762)	Prec@5 71.875 (68.695)
Epoch: [81][1810/7045]	Time 0.101 (0.252)	Data 0.001 (0.184)	Loss 2.4358 (2.5195)	Prec@1 39.062 (38.765)	Prec@5 70.312 (68.699)
Epoch: [81][1820/7045]	Time 0.115 (0.252)	Data 0.055 (0.184)	Loss 2.4752 (2.5196)	Prec@1 38.281 (38.766)	Prec@5 69.531 (68.698)
Epoch: [81][1830/7045]	Time 0.667 (0.252)	Data 0.616 (0.185)	Loss 2.5089 (2.5195)	Prec@1 35.938 (38.770)	Prec@5 67.969 (68.703)
Epoch: [81][1840/7045]	Time 0.102 (0.252)	Data 0.001 (0.185)	Loss 2.4881 (2.5194)	Prec@1 41.406 (38.769)	Prec@5 71.094 (68.707)
Epoch: [81][1850/7045]	Time 0.332 (0.252)	Data 0.280 (0.185)	Loss 2.6946 (2.5195)	Prec@1 35.156 (38.764)	Prec@5 65.625 (68.703)
Epoch: [81][1860/7045]	Time 0.196 (0.252)	Data 0.145 (0.185)	Loss 2.3835 (2.5195)	Prec@1 43.750 (38.761)	Prec@5 71.875 (68.704)
Epoch: [81][1870/7045]	Time 0.326 (0.252)	Data 0.274 (0.185)	Loss 2.4861 (2.5192)	Prec@1 36.328 (38.762)	Prec@5 72.656 (68.710)
Epoch: [81][1880/7045]	Time 0.102 (0.252)	Data 0.006 (0.185)	Loss 2.5151 (2.5193)	Prec@1 42.969 (38.770)	Prec@5 69.141 (68.705)
Epoch: [81][1890/7045]	Time 0.217 (0.252)	Data 0.166 (0.185)	Loss 2.5913 (2.5196)	Prec@1 38.281 (38.762)	Prec@5 62.891 (68.699)
Epoch: [81][1900/7045]	Time 0.188 (0.252)	Data 0.136 (0.185)	Loss 2.5342 (2.5194)	Prec@1 37.500 (38.757)	Prec@5 69.922 (68.703)
Epoch: [81][1910/7045]	Time 0.497 (0.252)	Data 0.446 (0.185)	Loss 2.6226 (2.5193)	Prec@1 38.281 (38.761)	Prec@5 68.359 (68.703)
Epoch: [81][1920/7045]	Time 0.364 (0.252)	Data 0.313 (0.185)	Loss 2.6776 (2.5193)	Prec@1 35.156 (38.762)	Prec@5 62.891 (68.696)
Epoch: [81][1930/7045]	Time 0.351 (0.252)	Data 0.298 (0.185)	Loss 2.6716 (2.5195)	Prec@1 31.250 (38.756)	Prec@5 66.016 (68.697)
Epoch: [81][1940/7045]	Time 0.199 (0.252)	Data 0.145 (0.185)	Loss 2.6651 (2.5195)	Prec@1 41.406 (38.757)	Prec@5 61.719 (68.700)
Epoch: [81][1950/7045]	Time 0.522 (0.252)	Data 0.461 (0.185)	Loss 2.6981 (2.5196)	Prec@1 36.328 (38.747)	Prec@5 63.281 (68.696)
Epoch: [81][1960/7045]	Time 0.095 (0.252)	Data 0.001 (0.185)	Loss 2.7892 (2.5195)	Prec@1 33.203 (38.750)	Prec@5 64.453 (68.704)
Epoch: [81][1970/7045]	Time 0.102 (0.252)	Data 0.001 (0.185)	Loss 2.4967 (2.5193)	Prec@1 38.672 (38.748)	Prec@5 66.797 (68.708)
Epoch: [81][1980/7045]	Time 0.103 (0.252)	Data 0.001 (0.185)	Loss 2.8013 (2.5194)	Prec@1 35.156 (38.745)	Prec@5 64.844 (68.709)
Epoch: [81][1990/7045]	Time 0.337 (0.252)	Data 0.287 (0.185)	Loss 2.6312 (2.5191)	Prec@1 38.281 (38.750)	Prec@5 67.188 (68.713)
Epoch: [81][2000/7045]	Time 0.193 (0.252)	Data 0.142 (0.185)	Loss 2.3410 (2.5190)	Prec@1 46.875 (38.755)	Prec@5 69.531 (68.714)
Epoch: [81][2010/7045]	Time 0.470 (0.252)	Data 0.409 (0.185)	Loss 2.3933 (2.5188)	Prec@1 39.062 (38.761)	Prec@5 69.531 (68.718)
Epoch: [81][2020/7045]	Time 0.123 (0.252)	Data 0.071 (0.185)	Loss 2.2948 (2.5187)	Prec@1 43.750 (38.766)	Prec@5 70.703 (68.720)
Epoch: [81][2030/7045]	Time 0.496 (0.252)	Data 0.444 (0.185)	Loss 2.6682 (2.5185)	Prec@1 39.062 (38.774)	Prec@5 64.453 (68.727)
Epoch: [81][2040/7045]	Time 0.213 (0.252)	Data 0.161 (0.185)	Loss 2.5842 (2.5183)	Prec@1 41.016 (38.777)	Prec@5 66.797 (68.734)
Epoch: [81][2050/7045]	Time 0.102 (0.252)	Data 0.001 (0.185)	Loss 2.4987 (2.5184)	Prec@1 35.547 (38.773)	Prec@5 70.312 (68.734)
Epoch: [81][2060/7045]	Time 0.101 (0.252)	Data 0.001 (0.185)	Loss 2.5709 (2.5187)	Prec@1 40.625 (38.773)	Prec@5 68.750 (68.732)
Epoch: [81][2070/7045]	Time 0.141 (0.252)	Data 0.089 (0.185)	Loss 2.3899 (2.5189)	Prec@1 42.578 (38.775)	Prec@5 70.703 (68.729)
Epoch: [81][2080/7045]	Time 0.448 (0.252)	Data 0.396 (0.185)	Loss 2.5196 (2.5188)	Prec@1 41.016 (38.776)	Prec@5 71.094 (68.733)
Epoch: [81][2090/7045]	Time 0.193 (0.252)	Data 0.141 (0.185)	Loss 2.5851 (2.5189)	Prec@1 34.766 (38.773)	Prec@5 69.531 (68.735)
Epoch: [81][2100/7045]	Time 0.112 (0.252)	Data 0.001 (0.185)	Loss 2.5407 (2.5188)	Prec@1 34.375 (38.779)	Prec@5 67.969 (68.737)
Epoch: [81][2110/7045]	Time 0.107 (0.252)	Data 0.053 (0.185)	Loss 2.4451 (2.5188)	Prec@1 40.234 (38.781)	Prec@5 72.656 (68.739)
Epoch: [81][2120/7045]	Time 0.193 (0.252)	Data 0.142 (0.185)	Loss 2.8276 (2.5190)	Prec@1 28.906 (38.775)	Prec@5 62.891 (68.735)
Epoch: [81][2130/7045]	Time 0.454 (0.252)	Data 0.402 (0.185)	Loss 2.6795 (2.5187)	Prec@1 32.422 (38.774)	Prec@5 64.844 (68.744)
Epoch: [81][2140/7045]	Time 0.102 (0.252)	Data 0.006 (0.185)	Loss 2.5911 (2.5188)	Prec@1 40.234 (38.770)	Prec@5 65.625 (68.741)
Epoch: [81][2150/7045]	Time 0.453 (0.252)	Data 0.394 (0.185)	Loss 2.6662 (2.5186)	Prec@1 38.281 (38.774)	Prec@5 64.062 (68.742)
Epoch: [81][2160/7045]	Time 0.364 (0.252)	Data 0.313 (0.185)	Loss 2.4313 (2.5190)	Prec@1 42.578 (38.767)	Prec@5 68.750 (68.736)
Epoch: [81][2170/7045]	Time 0.102 (0.252)	Data 0.001 (0.185)	Loss 2.4399 (2.5193)	Prec@1 40.234 (38.763)	Prec@5 71.094 (68.733)
Epoch: [81][2180/7045]	Time 0.101 (0.252)	Data 0.047 (0.185)	Loss 2.5322 (2.5192)	Prec@1 39.062 (38.763)	Prec@5 69.531 (68.736)
Epoch: [81][2190/7045]	Time 0.101 (0.252)	Data 0.004 (0.185)	Loss 2.5257 (2.5195)	Prec@1 36.719 (38.759)	Prec@5 67.578 (68.732)
Epoch: [81][2200/7045]	Time 0.293 (0.252)	Data 0.242 (0.185)	Loss 2.4603 (2.5195)	Prec@1 41.016 (38.758)	Prec@5 71.094 (68.732)
Epoch: [81][2210/7045]	Time 0.318 (0.252)	Data 0.264 (0.185)	Loss 2.4966 (2.5194)	Prec@1 40.234 (38.762)	Prec@5 68.750 (68.736)
Epoch: [81][2220/7045]	Time 0.200 (0.252)	Data 0.149 (0.185)	Loss 2.6867 (2.5194)	Prec@1 33.203 (38.762)	Prec@5 63.672 (68.737)
Epoch: [81][2230/7045]	Time 0.594 (0.252)	Data 0.541 (0.185)	Loss 2.3550 (2.5193)	Prec@1 43.359 (38.764)	Prec@5 71.094 (68.739)
Epoch: [81][2240/7045]	Time 0.131 (0.252)	Data 0.079 (0.185)	Loss 2.3154 (2.5191)	Prec@1 44.141 (38.771)	Prec@5 73.438 (68.748)
Epoch: [81][2250/7045]	Time 0.232 (0.252)	Data 0.180 (0.185)	Loss 2.6418 (2.5194)	Prec@1 31.250 (38.761)	Prec@5 64.453 (68.740)
Epoch: [81][2260/7045]	Time 0.111 (0.252)	Data 0.057 (0.185)	Loss 2.5453 (2.5193)	Prec@1 39.453 (38.762)	Prec@5 69.141 (68.741)
Epoch: [81][2270/7045]	Time 0.327 (0.252)	Data 0.276 (0.185)	Loss 2.6201 (2.5192)	Prec@1 36.719 (38.763)	Prec@5 65.625 (68.744)
Epoch: [81][2280/7045]	Time 0.181 (0.252)	Data 0.130 (0.185)	Loss 2.4429 (2.5194)	Prec@1 41.016 (38.760)	Prec@5 69.531 (68.739)
Epoch: [81][2290/7045]	Time 0.371 (0.252)	Data 0.320 (0.185)	Loss 2.7149 (2.5193)	Prec@1 35.156 (38.761)	Prec@5 63.281 (68.741)
Epoch: [81][2300/7045]	Time 0.142 (0.252)	Data 0.090 (0.185)	Loss 2.4311 (2.5195)	Prec@1 39.453 (38.759)	Prec@5 70.703 (68.736)
Epoch: [81][2310/7045]	Time 0.653 (0.252)	Data 0.595 (0.185)	Loss 2.5358 (2.5197)	Prec@1 37.500 (38.752)	Prec@5 69.531 (68.731)
Epoch: [81][2320/7045]	Time 0.111 (0.252)	Data 0.058 (0.185)	Loss 2.5318 (2.5194)	Prec@1 39.844 (38.760)	Prec@5 69.141 (68.741)
Epoch: [81][2330/7045]	Time 0.546 (0.252)	Data 0.489 (0.185)	Loss 2.5530 (2.5194)	Prec@1 38.281 (38.762)	Prec@5 70.312 (68.737)
Epoch: [81][2340/7045]	Time 0.101 (0.251)	Data 0.007 (0.185)	Loss 2.2595 (2.5192)	Prec@1 45.703 (38.765)	Prec@5 73.047 (68.738)
Epoch: [81][2350/7045]	Time 0.188 (0.252)	Data 0.136 (0.185)	Loss 2.4608 (2.5192)	Prec@1 37.891 (38.765)	Prec@5 71.484 (68.740)
Epoch: [81][2360/7045]	Time 0.108 (0.251)	Data 0.055 (0.185)	Loss 2.4114 (2.5192)	Prec@1 39.453 (38.766)	Prec@5 69.922 (68.741)
Epoch: [81][2370/7045]	Time 0.246 (0.252)	Data 0.194 (0.185)	Loss 2.5527 (2.5191)	Prec@1 43.359 (38.767)	Prec@5 67.578 (68.738)
Epoch: [81][2380/7045]	Time 0.729 (0.252)	Data 0.669 (0.185)	Loss 2.3673 (2.5190)	Prec@1 40.625 (38.770)	Prec@5 72.656 (68.743)
Epoch: [81][2390/7045]	Time 0.101 (0.252)	Data 0.001 (0.185)	Loss 2.3803 (2.5191)	Prec@1 42.969 (38.770)	Prec@5 69.922 (68.741)
Epoch: [81][2400/7045]	Time 0.160 (0.252)	Data 0.107 (0.185)	Loss 2.4833 (2.5191)	Prec@1 38.281 (38.771)	Prec@5 72.266 (68.740)
Epoch: [81][2410/7045]	Time 0.336 (0.252)	Data 0.284 (0.185)	Loss 2.4837 (2.5189)	Prec@1 42.188 (38.773)	Prec@5 68.359 (68.744)
Epoch: [81][2420/7045]	Time 0.102 (0.252)	Data 0.001 (0.185)	Loss 2.4211 (2.5189)	Prec@1 36.328 (38.776)	Prec@5 70.312 (68.739)
Epoch: [81][2430/7045]	Time 0.288 (0.252)	Data 0.236 (0.185)	Loss 2.8277 (2.5192)	Prec@1 36.328 (38.773)	Prec@5 62.109 (68.734)
Epoch: [81][2440/7045]	Time 0.170 (0.251)	Data 0.119 (0.185)	Loss 2.4628 (2.5191)	Prec@1 39.453 (38.778)	Prec@5 68.750 (68.739)
Epoch: [81][2450/7045]	Time 0.187 (0.252)	Data 0.135 (0.185)	Loss 2.7910 (2.5191)	Prec@1 37.891 (38.782)	Prec@5 61.719 (68.733)
Epoch: [81][2460/7045]	Time 0.102 (0.252)	Data 0.001 (0.185)	Loss 2.6608 (2.5191)	Prec@1 35.156 (38.781)	Prec@5 67.578 (68.731)
Epoch: [81][2470/7045]	Time 0.110 (0.252)	Data 0.001 (0.185)	Loss 2.4757 (2.5190)	Prec@1 41.016 (38.782)	Prec@5 69.141 (68.731)
Epoch: [81][2480/7045]	Time 0.385 (0.252)	Data 0.334 (0.185)	Loss 2.5907 (2.5188)	Prec@1 37.500 (38.786)	Prec@5 67.969 (68.736)
Epoch: [81][2490/7045]	Time 0.103 (0.252)	Data 0.005 (0.185)	Loss 2.2964 (2.5187)	Prec@1 44.531 (38.790)	Prec@5 71.094 (68.740)
Epoch: [81][2500/7045]	Time 0.103 (0.252)	Data 0.007 (0.185)	Loss 2.5625 (2.5189)	Prec@1 41.406 (38.788)	Prec@5 66.016 (68.737)
Epoch: [81][2510/7045]	Time 0.102 (0.251)	Data 0.005 (0.185)	Loss 2.6523 (2.5188)	Prec@1 38.281 (38.787)	Prec@5 64.062 (68.737)
Epoch: [81][2520/7045]	Time 0.290 (0.251)	Data 0.231 (0.185)	Loss 2.3751 (2.5188)	Prec@1 43.359 (38.791)	Prec@5 73.438 (68.735)
Epoch: [81][2530/7045]	Time 0.103 (0.251)	Data 0.001 (0.185)	Loss 2.4479 (2.5186)	Prec@1 36.719 (38.797)	Prec@5 71.094 (68.733)
Epoch: [81][2540/7045]	Time 0.520 (0.251)	Data 0.468 (0.185)	Loss 2.3970 (2.5189)	Prec@1 41.797 (38.790)	Prec@5 71.484 (68.728)
Epoch: [81][2550/7045]	Time 0.124 (0.251)	Data 0.071 (0.185)	Loss 2.3557 (2.5187)	Prec@1 41.797 (38.793)	Prec@5 71.875 (68.730)
Epoch: [81][2560/7045]	Time 0.455 (0.251)	Data 0.404 (0.185)	Loss 2.4498 (2.5188)	Prec@1 39.062 (38.794)	Prec@5 72.266 (68.731)
Epoch: [81][2570/7045]	Time 0.272 (0.251)	Data 0.221 (0.185)	Loss 2.4665 (2.5189)	Prec@1 38.281 (38.791)	Prec@5 70.312 (68.732)
Epoch: [81][2580/7045]	Time 0.199 (0.251)	Data 0.147 (0.185)	Loss 2.6795 (2.5186)	Prec@1 38.281 (38.798)	Prec@5 67.578 (68.740)
Epoch: [81][2590/7045]	Time 0.104 (0.251)	Data 0.051 (0.185)	Loss 2.3682 (2.5185)	Prec@1 44.531 (38.798)	Prec@5 68.750 (68.740)
Epoch: [81][2600/7045]	Time 0.110 (0.251)	Data 0.007 (0.185)	Loss 2.6476 (2.5184)	Prec@1 36.719 (38.803)	Prec@5 66.406 (68.741)
Epoch: [81][2610/7045]	Time 0.277 (0.251)	Data 0.225 (0.185)	Loss 2.5592 (2.5185)	Prec@1 42.969 (38.803)	Prec@5 66.016 (68.736)
Epoch: [81][2620/7045]	Time 0.108 (0.251)	Data 0.007 (0.185)	Loss 2.5325 (2.5186)	Prec@1 39.453 (38.797)	Prec@5 66.016 (68.736)
Epoch: [81][2630/7045]	Time 0.796 (0.251)	Data 0.745 (0.185)	Loss 2.5519 (2.5185)	Prec@1 40.625 (38.799)	Prec@5 64.844 (68.735)
Epoch: [81][2640/7045]	Time 0.102 (0.251)	Data 0.001 (0.184)	Loss 2.4638 (2.5185)	Prec@1 36.328 (38.800)	Prec@5 70.312 (68.737)
Epoch: [81][2650/7045]	Time 0.102 (0.251)	Data 0.001 (0.185)	Loss 2.5954 (2.5187)	Prec@1 35.156 (38.793)	Prec@5 66.016 (68.731)
Epoch: [81][2660/7045]	Time 0.102 (0.251)	Data 0.001 (0.184)	Loss 2.4439 (2.5186)	Prec@1 42.969 (38.798)	Prec@5 71.094 (68.735)
Epoch: [81][2670/7045]	Time 0.100 (0.251)	Data 0.001 (0.184)	Loss 2.5079 (2.5184)	Prec@1 39.453 (38.799)	Prec@5 67.578 (68.740)
Epoch: [81][2680/7045]	Time 0.292 (0.251)	Data 0.241 (0.184)	Loss 2.5362 (2.5185)	Prec@1 41.797 (38.802)	Prec@5 67.578 (68.740)
Epoch: [81][2690/7045]	Time 0.101 (0.251)	Data 0.007 (0.184)	Loss 2.4605 (2.5185)	Prec@1 34.375 (38.799)	Prec@5 71.875 (68.740)
Epoch: [81][2700/7045]	Time 0.626 (0.251)	Data 0.575 (0.184)	Loss 2.4557 (2.5184)	Prec@1 41.797 (38.797)	Prec@5 67.188 (68.739)
Epoch: [81][2710/7045]	Time 0.172 (0.251)	Data 0.119 (0.184)	Loss 2.7770 (2.5185)	Prec@1 30.469 (38.793)	Prec@5 64.844 (68.734)
Epoch: [81][2720/7045]	Time 0.356 (0.251)	Data 0.304 (0.184)	Loss 2.5853 (2.5185)	Prec@1 36.328 (38.798)	Prec@5 65.234 (68.731)
Epoch: [81][2730/7045]	Time 0.129 (0.251)	Data 0.077 (0.184)	Loss 2.8316 (2.5185)	Prec@1 31.641 (38.794)	Prec@5 63.281 (68.729)
Epoch: [81][2740/7045]	Time 0.182 (0.251)	Data 0.128 (0.184)	Loss 2.7001 (2.5188)	Prec@1 35.938 (38.787)	Prec@5 65.234 (68.727)
Epoch: [81][2750/7045]	Time 0.102 (0.251)	Data 0.001 (0.184)	Loss 2.4992 (2.5188)	Prec@1 38.281 (38.786)	Prec@5 71.094 (68.727)
Epoch: [81][2760/7045]	Time 0.103 (0.251)	Data 0.006 (0.184)	Loss 2.4230 (2.5187)	Prec@1 40.625 (38.784)	Prec@5 70.703 (68.726)
Epoch: [81][2770/7045]	Time 0.333 (0.251)	Data 0.281 (0.184)	Loss 2.6364 (2.5189)	Prec@1 36.328 (38.780)	Prec@5 66.016 (68.723)
Epoch: [81][2780/7045]	Time 0.110 (0.251)	Data 0.001 (0.184)	Loss 2.8310 (2.5190)	Prec@1 36.328 (38.784)	Prec@5 62.891 (68.720)
Epoch: [81][2790/7045]	Time 0.432 (0.251)	Data 0.380 (0.184)	Loss 2.5588 (2.5191)	Prec@1 38.281 (38.781)	Prec@5 71.484 (68.722)
Epoch: [81][2800/7045]	Time 0.216 (0.251)	Data 0.164 (0.184)	Loss 2.4562 (2.5191)	Prec@1 37.891 (38.784)	Prec@5 69.141 (68.719)
Epoch: [81][2810/7045]	Time 0.101 (0.251)	Data 0.044 (0.184)	Loss 2.4804 (2.5193)	Prec@1 36.719 (38.777)	Prec@5 69.922 (68.717)
Epoch: [81][2820/7045]	Time 0.106 (0.251)	Data 0.054 (0.184)	Loss 2.6568 (2.5194)	Prec@1 36.328 (38.777)	Prec@5 68.359 (68.718)
Epoch: [81][2830/7045]	Time 0.220 (0.251)	Data 0.168 (0.184)	Loss 2.4715 (2.5193)	Prec@1 36.719 (38.781)	Prec@5 71.484 (68.718)
Epoch: [81][2840/7045]	Time 0.365 (0.251)	Data 0.304 (0.184)	Loss 2.5281 (2.5192)	Prec@1 41.016 (38.784)	Prec@5 66.797 (68.721)
Epoch: [81][2850/7045]	Time 0.102 (0.251)	Data 0.002 (0.184)	Loss 2.5339 (2.5193)	Prec@1 37.891 (38.781)	Prec@5 70.312 (68.722)
Epoch: [81][2860/7045]	Time 0.102 (0.251)	Data 0.006 (0.184)	Loss 2.4813 (2.5195)	Prec@1 40.625 (38.779)	Prec@5 68.750 (68.715)
Epoch: [81][2870/7045]	Time 0.112 (0.251)	Data 0.061 (0.184)	Loss 2.6458 (2.5195)	Prec@1 39.844 (38.779)	Prec@5 63.281 (68.713)
Epoch: [81][2880/7045]	Time 0.109 (0.251)	Data 0.001 (0.184)	Loss 2.3981 (2.5194)	Prec@1 37.891 (38.781)	Prec@5 74.609 (68.718)
Epoch: [81][2890/7045]	Time 0.395 (0.251)	Data 0.343 (0.184)	Loss 2.5482 (2.5192)	Prec@1 39.844 (38.784)	Prec@5 70.312 (68.720)
Epoch: [81][2900/7045]	Time 0.581 (0.251)	Data 0.530 (0.184)	Loss 2.3935 (2.5193)	Prec@1 42.969 (38.788)	Prec@5 69.922 (68.721)
Epoch: [81][2910/7045]	Time 0.110 (0.251)	Data 0.001 (0.184)	Loss 2.3576 (2.5191)	Prec@1 44.922 (38.793)	Prec@5 68.359 (68.722)
Epoch: [81][2920/7045]	Time 0.221 (0.251)	Data 0.169 (0.184)	Loss 2.6615 (2.5193)	Prec@1 34.375 (38.792)	Prec@5 65.625 (68.720)
Epoch: [81][2930/7045]	Time 0.319 (0.251)	Data 0.268 (0.184)	Loss 2.6042 (2.5193)	Prec@1 36.719 (38.787)	Prec@5 66.797 (68.720)
Epoch: [81][2940/7045]	Time 0.108 (0.251)	Data 0.055 (0.184)	Loss 2.5711 (2.5193)	Prec@1 41.016 (38.786)	Prec@5 69.922 (68.721)
Epoch: [81][2950/7045]	Time 0.215 (0.251)	Data 0.155 (0.184)	Loss 2.4816 (2.5195)	Prec@1 39.844 (38.780)	Prec@5 67.969 (68.714)
Epoch: [81][2960/7045]	Time 0.182 (0.251)	Data 0.131 (0.184)	Loss 2.5020 (2.5196)	Prec@1 40.234 (38.776)	Prec@5 70.703 (68.715)
Epoch: [81][2970/7045]	Time 0.102 (0.251)	Data 0.004 (0.184)	Loss 2.3784 (2.5196)	Prec@1 39.453 (38.774)	Prec@5 71.875 (68.714)
Epoch: [81][2980/7045]	Time 0.570 (0.251)	Data 0.510 (0.184)	Loss 2.3817 (2.5196)	Prec@1 40.234 (38.776)	Prec@5 69.141 (68.716)
Epoch: [81][2990/7045]	Time 0.163 (0.251)	Data 0.111 (0.184)	Loss 2.6188 (2.5197)	Prec@1 37.500 (38.775)	Prec@5 65.625 (68.713)
Epoch: [81][3000/7045]	Time 0.640 (0.251)	Data 0.588 (0.184)	Loss 2.3827 (2.5198)	Prec@1 42.578 (38.774)	Prec@5 73.047 (68.709)
Epoch: [81][3010/7045]	Time 0.102 (0.251)	Data 0.049 (0.184)	Loss 2.6967 (2.5199)	Prec@1 37.891 (38.773)	Prec@5 64.453 (68.710)
Epoch: [81][3020/7045]	Time 0.131 (0.251)	Data 0.078 (0.184)	Loss 2.3726 (2.5196)	Prec@1 39.453 (38.779)	Prec@5 70.312 (68.713)
Epoch: [81][3030/7045]	Time 0.102 (0.250)	Data 0.005 (0.184)	Loss 2.5592 (2.5196)	Prec@1 37.891 (38.781)	Prec@5 67.188 (68.713)
Epoch: [81][3040/7045]	Time 0.293 (0.251)	Data 0.242 (0.184)	Loss 2.5668 (2.5196)	Prec@1 40.625 (38.778)	Prec@5 71.094 (68.715)
Epoch: [81][3050/7045]	Time 0.542 (0.251)	Data 0.491 (0.184)	Loss 2.2999 (2.5195)	Prec@1 42.969 (38.781)	Prec@5 72.266 (68.715)
Epoch: [81][3060/7045]	Time 0.102 (0.251)	Data 0.001 (0.184)	Loss 2.7120 (2.5194)	Prec@1 35.547 (38.784)	Prec@5 67.578 (68.715)
Epoch: [81][3070/7045]	Time 0.103 (0.251)	Data 0.001 (0.184)	Loss 2.4942 (2.5194)	Prec@1 39.062 (38.782)	Prec@5 68.359 (68.717)
Epoch: [81][3080/7045]	Time 0.365 (0.251)	Data 0.313 (0.184)	Loss 2.4302 (2.5194)	Prec@1 39.844 (38.777)	Prec@5 74.219 (68.716)
Epoch: [81][3090/7045]	Time 0.519 (0.251)	Data 0.468 (0.184)	Loss 2.5845 (2.5196)	Prec@1 38.672 (38.775)	Prec@5 68.359 (68.712)
Epoch: [81][3100/7045]	Time 0.251 (0.251)	Data 0.200 (0.184)	Loss 2.6298 (2.5196)	Prec@1 35.547 (38.772)	Prec@5 67.578 (68.709)
Epoch: [81][3110/7045]	Time 0.321 (0.251)	Data 0.269 (0.184)	Loss 2.6019 (2.5195)	Prec@1 41.016 (38.773)	Prec@5 65.625 (68.710)
Epoch: [81][3120/7045]	Time 0.110 (0.251)	Data 0.058 (0.184)	Loss 2.6722 (2.5198)	Prec@1 34.375 (38.763)	Prec@5 65.234 (68.706)
Epoch: [81][3130/7045]	Time 0.165 (0.251)	Data 0.107 (0.184)	Loss 2.4675 (2.5197)	Prec@1 39.453 (38.772)	Prec@5 68.750 (68.707)
Epoch: [81][3140/7045]	Time 0.601 (0.251)	Data 0.550 (0.184)	Loss 2.5380 (2.5198)	Prec@1 37.891 (38.770)	Prec@5 66.016 (68.707)
Epoch: [81][3150/7045]	Time 0.102 (0.251)	Data 0.001 (0.184)	Loss 2.6049 (2.5197)	Prec@1 34.375 (38.769)	Prec@5 67.188 (68.707)
Epoch: [81][3160/7045]	Time 0.124 (0.251)	Data 0.072 (0.184)	Loss 2.5255 (2.5195)	Prec@1 39.844 (38.768)	Prec@5 69.922 (68.710)
Epoch: [81][3170/7045]	Time 0.188 (0.251)	Data 0.136 (0.184)	Loss 2.6121 (2.5195)	Prec@1 34.375 (38.769)	Prec@5 69.141 (68.710)
Epoch: [81][3180/7045]	Time 0.252 (0.251)	Data 0.199 (0.184)	Loss 2.3104 (2.5194)	Prec@1 41.406 (38.768)	Prec@5 75.391 (68.712)
Epoch: [81][3190/7045]	Time 0.401 (0.251)	Data 0.349 (0.184)	Loss 2.6172 (2.5195)	Prec@1 33.984 (38.767)	Prec@5 64.844 (68.711)
Epoch: [81][3200/7045]	Time 0.107 (0.251)	Data 0.001 (0.184)	Loss 2.2922 (2.5193)	Prec@1 41.016 (38.769)	Prec@5 73.047 (68.717)
Epoch: [81][3210/7045]	Time 0.102 (0.251)	Data 0.001 (0.184)	Loss 2.5098 (2.5193)	Prec@1 40.234 (38.767)	Prec@5 69.531 (68.719)
Epoch: [81][3220/7045]	Time 0.268 (0.251)	Data 0.216 (0.184)	Loss 2.6193 (2.5192)	Prec@1 37.500 (38.768)	Prec@5 67.188 (68.719)
Epoch: [81][3230/7045]	Time 0.361 (0.251)	Data 0.310 (0.184)	Loss 2.4704 (2.5192)	Prec@1 37.500 (38.768)	Prec@5 69.531 (68.719)
Epoch: [81][3240/7045]	Time 0.442 (0.251)	Data 0.391 (0.184)	Loss 2.4455 (2.5192)	Prec@1 41.406 (38.770)	Prec@5 71.094 (68.723)
Epoch: [81][3250/7045]	Time 0.109 (0.251)	Data 0.001 (0.184)	Loss 2.6500 (2.5193)	Prec@1 37.109 (38.765)	Prec@5 65.234 (68.722)
Epoch: [81][3260/7045]	Time 0.278 (0.251)	Data 0.227 (0.184)	Loss 2.3983 (2.5193)	Prec@1 35.156 (38.763)	Prec@5 73.047 (68.720)
Epoch: [81][3270/7045]	Time 0.275 (0.251)	Data 0.222 (0.184)	Loss 2.7449 (2.5195)	Prec@1 33.594 (38.758)	Prec@5 66.797 (68.720)
Epoch: [81][3280/7045]	Time 0.280 (0.251)	Data 0.228 (0.184)	Loss 2.4419 (2.5195)	Prec@1 40.234 (38.759)	Prec@5 71.484 (68.721)
Epoch: [81][3290/7045]	Time 0.103 (0.251)	Data 0.004 (0.184)	Loss 2.5091 (2.5194)	Prec@1 34.766 (38.757)	Prec@5 71.094 (68.724)
Epoch: [81][3300/7045]	Time 0.191 (0.251)	Data 0.140 (0.184)	Loss 2.2114 (2.5195)	Prec@1 43.750 (38.755)	Prec@5 77.344 (68.723)
Epoch: [81][3310/7045]	Time 0.102 (0.251)	Data 0.003 (0.184)	Loss 2.3560 (2.5195)	Prec@1 42.969 (38.762)	Prec@5 71.484 (68.723)
Epoch: [81][3320/7045]	Time 0.770 (0.251)	Data 0.719 (0.184)	Loss 2.5662 (2.5195)	Prec@1 38.672 (38.762)	Prec@5 66.797 (68.724)
Epoch: [81][3330/7045]	Time 0.204 (0.251)	Data 0.153 (0.184)	Loss 2.5255 (2.5197)	Prec@1 39.453 (38.759)	Prec@5 70.312 (68.722)
Epoch: [81][3340/7045]	Time 0.550 (0.251)	Data 0.499 (0.184)	Loss 2.4197 (2.5198)	Prec@1 37.891 (38.755)	Prec@5 68.359 (68.718)
Epoch: [81][3350/7045]	Time 0.210 (0.251)	Data 0.158 (0.184)	Loss 2.6986 (2.5199)	Prec@1 37.500 (38.753)	Prec@5 64.453 (68.714)
Epoch: [81][3360/7045]	Time 0.280 (0.251)	Data 0.228 (0.184)	Loss 2.5833 (2.5200)	Prec@1 35.938 (38.752)	Prec@5 69.141 (68.709)
Epoch: [81][3370/7045]	Time 0.102 (0.251)	Data 0.001 (0.184)	Loss 2.5689 (2.5199)	Prec@1 37.500 (38.758)	Prec@5 68.359 (68.712)
Epoch: [81][3380/7045]	Time 0.324 (0.251)	Data 0.266 (0.184)	Loss 2.5607 (2.5198)	Prec@1 36.719 (38.760)	Prec@5 69.531 (68.716)
Epoch: [81][3390/7045]	Time 0.108 (0.251)	Data 0.055 (0.184)	Loss 2.4286 (2.5199)	Prec@1 42.578 (38.763)	Prec@5 70.312 (68.716)
Epoch: [81][3400/7045]	Time 0.182 (0.251)	Data 0.130 (0.184)	Loss 2.3973 (2.5199)	Prec@1 42.969 (38.764)	Prec@5 70.703 (68.715)
Epoch: [81][3410/7045]	Time 0.353 (0.251)	Data 0.301 (0.184)	Loss 2.3841 (2.5199)	Prec@1 41.406 (38.763)	Prec@5 72.266 (68.715)
Epoch: [81][3420/7045]	Time 0.277 (0.251)	Data 0.226 (0.184)	Loss 2.5952 (2.5201)	Prec@1 39.062 (38.758)	Prec@5 69.141 (68.712)
Epoch: [81][3430/7045]	Time 0.280 (0.251)	Data 0.228 (0.184)	Loss 2.5134 (2.5202)	Prec@1 36.719 (38.753)	Prec@5 71.094 (68.710)
Epoch: [81][3440/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 2.6627 (2.5203)	Prec@1 36.719 (38.754)	Prec@5 66.797 (68.710)
Epoch: [81][3450/7045]	Time 0.111 (0.250)	Data 0.059 (0.184)	Loss 2.5700 (2.5203)	Prec@1 37.109 (38.754)	Prec@5 69.531 (68.710)
Epoch: [81][3460/7045]	Time 0.341 (0.250)	Data 0.288 (0.184)	Loss 2.5372 (2.5203)	Prec@1 38.672 (38.756)	Prec@5 65.625 (68.710)
Epoch: [81][3470/7045]	Time 0.407 (0.250)	Data 0.350 (0.184)	Loss 2.5784 (2.5203)	Prec@1 36.719 (38.757)	Prec@5 69.141 (68.708)
Epoch: [81][3480/7045]	Time 0.168 (0.250)	Data 0.116 (0.184)	Loss 2.2809 (2.5203)	Prec@1 42.578 (38.761)	Prec@5 70.312 (68.709)
Epoch: [81][3490/7045]	Time 0.263 (0.250)	Data 0.210 (0.184)	Loss 2.4988 (2.5203)	Prec@1 37.109 (38.760)	Prec@5 69.922 (68.708)
Epoch: [81][3500/7045]	Time 0.182 (0.250)	Data 0.131 (0.184)	Loss 2.4499 (2.5204)	Prec@1 39.844 (38.758)	Prec@5 71.484 (68.708)
Epoch: [81][3510/7045]	Time 0.108 (0.250)	Data 0.001 (0.184)	Loss 2.5009 (2.5205)	Prec@1 36.719 (38.758)	Prec@5 65.234 (68.704)
Epoch: [81][3520/7045]	Time 0.633 (0.250)	Data 0.580 (0.184)	Loss 2.3224 (2.5202)	Prec@1 41.016 (38.760)	Prec@5 71.875 (68.709)
Epoch: [81][3530/7045]	Time 0.119 (0.250)	Data 0.066 (0.184)	Loss 2.4850 (2.5202)	Prec@1 43.359 (38.759)	Prec@5 67.969 (68.709)
Epoch: [81][3540/7045]	Time 0.344 (0.250)	Data 0.291 (0.184)	Loss 2.3126 (2.5202)	Prec@1 43.359 (38.759)	Prec@5 70.312 (68.710)
Epoch: [81][3550/7045]	Time 0.246 (0.250)	Data 0.195 (0.184)	Loss 2.5545 (2.5203)	Prec@1 37.500 (38.758)	Prec@5 67.578 (68.710)
Epoch: [81][3560/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 2.5645 (2.5203)	Prec@1 38.281 (38.759)	Prec@5 67.578 (68.708)
Epoch: [81][3570/7045]	Time 0.148 (0.250)	Data 0.097 (0.184)	Loss 2.3930 (2.5202)	Prec@1 42.969 (38.763)	Prec@5 71.094 (68.712)
Epoch: [81][3580/7045]	Time 0.103 (0.250)	Data 0.001 (0.184)	Loss 2.4509 (2.5201)	Prec@1 41.016 (38.762)	Prec@5 72.656 (68.717)
Epoch: [81][3590/7045]	Time 0.101 (0.251)	Data 0.001 (0.184)	Loss 2.5239 (2.5201)	Prec@1 41.406 (38.761)	Prec@5 67.578 (68.714)
Epoch: [81][3600/7045]	Time 0.753 (0.251)	Data 0.702 (0.184)	Loss 2.5638 (2.5201)	Prec@1 40.234 (38.761)	Prec@5 65.625 (68.715)
Epoch: [81][3610/7045]	Time 0.100 (0.250)	Data 0.001 (0.184)	Loss 2.6603 (2.5199)	Prec@1 37.891 (38.765)	Prec@5 65.625 (68.716)
Epoch: [81][3620/7045]	Time 0.539 (0.250)	Data 0.481 (0.184)	Loss 2.4873 (2.5199)	Prec@1 39.453 (38.766)	Prec@5 69.141 (68.713)
Epoch: [81][3630/7045]	Time 0.217 (0.250)	Data 0.166 (0.184)	Loss 2.4416 (2.5200)	Prec@1 39.062 (38.762)	Prec@5 69.922 (68.714)
Epoch: [81][3640/7045]	Time 0.148 (0.250)	Data 0.096 (0.184)	Loss 2.5394 (2.5200)	Prec@1 39.062 (38.761)	Prec@5 69.531 (68.715)
Epoch: [81][3650/7045]	Time 0.107 (0.250)	Data 0.054 (0.184)	Loss 2.3641 (2.5200)	Prec@1 42.188 (38.759)	Prec@5 71.094 (68.717)
Epoch: [81][3660/7045]	Time 0.268 (0.250)	Data 0.216 (0.184)	Loss 2.4331 (2.5199)	Prec@1 39.844 (38.760)	Prec@5 69.141 (68.717)
Epoch: [81][3670/7045]	Time 0.137 (0.250)	Data 0.085 (0.184)	Loss 2.5318 (2.5200)	Prec@1 37.891 (38.759)	Prec@5 66.406 (68.717)
Epoch: [81][3680/7045]	Time 0.435 (0.250)	Data 0.383 (0.184)	Loss 2.6926 (2.5198)	Prec@1 35.938 (38.762)	Prec@5 64.844 (68.718)
Epoch: [81][3690/7045]	Time 0.113 (0.250)	Data 0.060 (0.184)	Loss 2.4412 (2.5199)	Prec@1 37.109 (38.760)	Prec@5 71.875 (68.720)
Epoch: [81][3700/7045]	Time 0.264 (0.250)	Data 0.212 (0.184)	Loss 2.2762 (2.5200)	Prec@1 42.188 (38.757)	Prec@5 75.391 (68.719)
Epoch: [81][3710/7045]	Time 0.103 (0.250)	Data 0.001 (0.184)	Loss 2.7724 (2.5199)	Prec@1 33.984 (38.759)	Prec@5 66.016 (68.721)
Epoch: [81][3720/7045]	Time 0.103 (0.250)	Data 0.001 (0.184)	Loss 2.5157 (2.5200)	Prec@1 39.844 (38.758)	Prec@5 67.188 (68.721)
Epoch: [81][3730/7045]	Time 0.240 (0.250)	Data 0.187 (0.184)	Loss 2.4467 (2.5199)	Prec@1 41.797 (38.757)	Prec@5 71.484 (68.720)
Epoch: [81][3740/7045]	Time 0.103 (0.250)	Data 0.001 (0.184)	Loss 2.6900 (2.5202)	Prec@1 34.375 (38.750)	Prec@5 66.797 (68.715)
Epoch: [81][3750/7045]	Time 0.111 (0.250)	Data 0.059 (0.184)	Loss 2.4398 (2.5203)	Prec@1 41.797 (38.746)	Prec@5 69.922 (68.715)
Epoch: [81][3760/7045]	Time 0.185 (0.250)	Data 0.133 (0.184)	Loss 2.6694 (2.5202)	Prec@1 40.625 (38.748)	Prec@5 63.672 (68.717)
Epoch: [81][3770/7045]	Time 0.111 (0.250)	Data 0.057 (0.184)	Loss 2.7250 (2.5202)	Prec@1 35.547 (38.747)	Prec@5 64.844 (68.716)
Epoch: [81][3780/7045]	Time 0.210 (0.250)	Data 0.159 (0.184)	Loss 2.1999 (2.5201)	Prec@1 45.703 (38.749)	Prec@5 74.609 (68.720)
Epoch: [81][3790/7045]	Time 0.217 (0.250)	Data 0.164 (0.184)	Loss 2.6497 (2.5202)	Prec@1 35.938 (38.746)	Prec@5 64.844 (68.717)
Epoch: [81][3800/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 2.5233 (2.5202)	Prec@1 38.672 (38.747)	Prec@5 67.188 (68.717)
Epoch: [81][3810/7045]	Time 0.213 (0.250)	Data 0.161 (0.184)	Loss 2.4047 (2.5202)	Prec@1 41.406 (38.746)	Prec@5 69.922 (68.716)
Epoch: [81][3820/7045]	Time 0.348 (0.250)	Data 0.292 (0.184)	Loss 2.5793 (2.5201)	Prec@1 38.672 (38.747)	Prec@5 67.578 (68.719)
Epoch: [81][3830/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 2.5666 (2.5202)	Prec@1 36.719 (38.745)	Prec@5 66.797 (68.718)
Epoch: [81][3840/7045]	Time 0.102 (0.250)	Data 0.049 (0.184)	Loss 2.4872 (2.5201)	Prec@1 34.375 (38.745)	Prec@5 69.141 (68.719)
Epoch: [81][3850/7045]	Time 0.474 (0.250)	Data 0.422 (0.184)	Loss 2.4702 (2.5200)	Prec@1 36.328 (38.748)	Prec@5 70.703 (68.722)
Epoch: [81][3860/7045]	Time 0.337 (0.250)	Data 0.284 (0.184)	Loss 2.4626 (2.5200)	Prec@1 39.453 (38.749)	Prec@5 70.703 (68.720)
Epoch: [81][3870/7045]	Time 0.275 (0.250)	Data 0.224 (0.184)	Loss 2.5553 (2.5199)	Prec@1 38.672 (38.749)	Prec@5 66.406 (68.724)
Epoch: [81][3880/7045]	Time 0.158 (0.250)	Data 0.106 (0.184)	Loss 2.5134 (2.5200)	Prec@1 37.109 (38.744)	Prec@5 70.312 (68.724)
Epoch: [81][3890/7045]	Time 0.873 (0.251)	Data 0.822 (0.184)	Loss 2.4574 (2.5202)	Prec@1 38.672 (38.742)	Prec@5 71.875 (68.723)
Epoch: [81][3900/7045]	Time 0.426 (0.250)	Data 0.374 (0.184)	Loss 2.5826 (2.5202)	Prec@1 36.328 (38.743)	Prec@5 69.922 (68.722)
Epoch: [81][3910/7045]	Time 0.104 (0.250)	Data 0.052 (0.184)	Loss 2.7197 (2.5202)	Prec@1 38.281 (38.744)	Prec@5 62.891 (68.721)
Epoch: [81][3920/7045]	Time 0.138 (0.251)	Data 0.079 (0.184)	Loss 2.6246 (2.5201)	Prec@1 37.891 (38.745)	Prec@5 66.797 (68.721)
Epoch: [81][3930/7045]	Time 0.102 (0.250)	Data 0.004 (0.184)	Loss 2.4752 (2.5202)	Prec@1 36.719 (38.742)	Prec@5 72.266 (68.721)
Epoch: [81][3940/7045]	Time 0.112 (0.250)	Data 0.059 (0.184)	Loss 2.6021 (2.5202)	Prec@1 36.328 (38.741)	Prec@5 68.750 (68.720)
Epoch: [81][3950/7045]	Time 0.536 (0.251)	Data 0.485 (0.184)	Loss 2.4184 (2.5201)	Prec@1 43.359 (38.741)	Prec@5 69.922 (68.722)
Epoch: [81][3960/7045]	Time 0.106 (0.250)	Data 0.053 (0.184)	Loss 2.6137 (2.5201)	Prec@1 38.281 (38.743)	Prec@5 64.062 (68.720)
Epoch: [81][3970/7045]	Time 0.227 (0.250)	Data 0.176 (0.184)	Loss 2.5649 (2.5202)	Prec@1 39.844 (38.739)	Prec@5 64.062 (68.720)
Epoch: [81][3980/7045]	Time 0.344 (0.250)	Data 0.292 (0.184)	Loss 2.4575 (2.5201)	Prec@1 38.672 (38.741)	Prec@5 70.312 (68.723)
Epoch: [81][3990/7045]	Time 0.549 (0.251)	Data 0.489 (0.184)	Loss 2.5280 (2.5201)	Prec@1 39.844 (38.740)	Prec@5 69.922 (68.723)
Epoch: [81][4000/7045]	Time 0.343 (0.250)	Data 0.291 (0.184)	Loss 2.5225 (2.5202)	Prec@1 45.312 (38.739)	Prec@5 67.578 (68.722)
Epoch: [81][4010/7045]	Time 0.102 (0.250)	Data 0.011 (0.184)	Loss 2.4288 (2.5204)	Prec@1 38.672 (38.738)	Prec@5 72.266 (68.721)
Epoch: [81][4020/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 2.4008 (2.5202)	Prec@1 38.672 (38.740)	Prec@5 72.656 (68.723)
Epoch: [81][4030/7045]	Time 0.286 (0.250)	Data 0.228 (0.184)	Loss 2.3931 (2.5203)	Prec@1 42.578 (38.737)	Prec@5 70.312 (68.720)
Epoch: [81][4040/7045]	Time 0.452 (0.250)	Data 0.400 (0.184)	Loss 2.4417 (2.5203)	Prec@1 44.922 (38.736)	Prec@5 70.703 (68.721)
Epoch: [81][4050/7045]	Time 0.422 (0.250)	Data 0.370 (0.184)	Loss 2.5776 (2.5204)	Prec@1 38.672 (38.735)	Prec@5 65.625 (68.719)
Epoch: [81][4060/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 2.6380 (2.5206)	Prec@1 36.719 (38.730)	Prec@5 68.750 (68.716)
Epoch: [81][4070/7045]	Time 0.109 (0.250)	Data 0.055 (0.184)	Loss 2.5989 (2.5207)	Prec@1 33.984 (38.728)	Prec@5 71.484 (68.715)
Epoch: [81][4080/7045]	Time 0.165 (0.250)	Data 0.114 (0.184)	Loss 2.6295 (2.5208)	Prec@1 33.203 (38.727)	Prec@5 66.406 (68.715)
Epoch: [81][4090/7045]	Time 0.305 (0.250)	Data 0.252 (0.184)	Loss 2.5793 (2.5208)	Prec@1 39.062 (38.731)	Prec@5 69.922 (68.714)
Epoch: [81][4100/7045]	Time 0.391 (0.250)	Data 0.340 (0.184)	Loss 2.4463 (2.5208)	Prec@1 34.766 (38.733)	Prec@5 67.578 (68.714)
Epoch: [81][4110/7045]	Time 0.108 (0.250)	Data 0.055 (0.184)	Loss 2.6701 (2.5209)	Prec@1 39.453 (38.734)	Prec@5 65.625 (68.713)
Epoch: [81][4120/7045]	Time 0.403 (0.250)	Data 0.352 (0.184)	Loss 2.4663 (2.5209)	Prec@1 36.719 (38.733)	Prec@5 72.656 (68.712)
Epoch: [81][4130/7045]	Time 0.102 (0.250)	Data 0.002 (0.184)	Loss 2.6335 (2.5211)	Prec@1 33.594 (38.732)	Prec@5 68.359 (68.713)
Epoch: [81][4140/7045]	Time 0.107 (0.250)	Data 0.054 (0.184)	Loss 2.5981 (2.5211)	Prec@1 35.156 (38.730)	Prec@5 69.141 (68.715)
Epoch: [81][4150/7045]	Time 0.128 (0.250)	Data 0.075 (0.184)	Loss 2.7486 (2.5212)	Prec@1 35.547 (38.730)	Prec@5 62.891 (68.713)
Epoch: [81][4160/7045]	Time 0.109 (0.250)	Data 0.056 (0.184)	Loss 2.4239 (2.5211)	Prec@1 39.453 (38.730)	Prec@5 69.531 (68.713)
Epoch: [81][4170/7045]	Time 0.589 (0.250)	Data 0.529 (0.184)	Loss 2.6445 (2.5211)	Prec@1 38.672 (38.730)	Prec@5 64.062 (68.713)
Epoch: [81][4180/7045]	Time 0.211 (0.250)	Data 0.160 (0.184)	Loss 2.5213 (2.5212)	Prec@1 38.281 (38.728)	Prec@5 68.359 (68.709)
Epoch: [81][4190/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 2.5497 (2.5212)	Prec@1 36.719 (38.724)	Prec@5 71.094 (68.710)
Epoch: [81][4200/7045]	Time 0.224 (0.250)	Data 0.171 (0.184)	Loss 2.6593 (2.5213)	Prec@1 33.594 (38.723)	Prec@5 62.891 (68.707)
Epoch: [81][4210/7045]	Time 0.251 (0.250)	Data 0.199 (0.184)	Loss 2.4148 (2.5213)	Prec@1 39.844 (38.725)	Prec@5 69.922 (68.710)
Epoch: [81][4220/7045]	Time 0.194 (0.250)	Data 0.142 (0.184)	Loss 2.5548 (2.5212)	Prec@1 38.672 (38.725)	Prec@5 67.188 (68.710)
Epoch: [81][4230/7045]	Time 0.403 (0.250)	Data 0.352 (0.184)	Loss 2.4665 (2.5211)	Prec@1 38.672 (38.726)	Prec@5 66.797 (68.712)
Epoch: [81][4240/7045]	Time 0.208 (0.250)	Data 0.156 (0.184)	Loss 2.4909 (2.5211)	Prec@1 40.625 (38.726)	Prec@5 67.969 (68.710)
Epoch: [81][4250/7045]	Time 0.187 (0.250)	Data 0.134 (0.184)	Loss 2.5248 (2.5210)	Prec@1 35.938 (38.726)	Prec@5 68.359 (68.709)
Epoch: [81][4260/7045]	Time 0.679 (0.250)	Data 0.627 (0.184)	Loss 2.3650 (2.5210)	Prec@1 41.016 (38.724)	Prec@5 71.484 (68.710)
Epoch: [81][4270/7045]	Time 0.264 (0.250)	Data 0.203 (0.184)	Loss 2.1861 (2.5209)	Prec@1 44.922 (38.725)	Prec@5 74.219 (68.710)
Epoch: [81][4280/7045]	Time 0.265 (0.250)	Data 0.214 (0.184)	Loss 2.4540 (2.5209)	Prec@1 37.891 (38.724)	Prec@5 67.578 (68.710)
Epoch: [81][4290/7045]	Time 0.102 (0.250)	Data 0.048 (0.184)	Loss 2.6702 (2.5210)	Prec@1 39.844 (38.722)	Prec@5 64.844 (68.708)
Epoch: [81][4300/7045]	Time 0.591 (0.250)	Data 0.539 (0.184)	Loss 2.6010 (2.5209)	Prec@1 42.578 (38.726)	Prec@5 67.188 (68.711)
Epoch: [81][4310/7045]	Time 0.108 (0.250)	Data 0.055 (0.184)	Loss 2.5930 (2.5209)	Prec@1 37.500 (38.726)	Prec@5 67.969 (68.710)
Epoch: [81][4320/7045]	Time 0.369 (0.250)	Data 0.318 (0.184)	Loss 2.6133 (2.5210)	Prec@1 39.062 (38.725)	Prec@5 64.062 (68.707)
Epoch: [81][4330/7045]	Time 0.197 (0.250)	Data 0.144 (0.184)	Loss 2.4155 (2.5210)	Prec@1 43.750 (38.727)	Prec@5 71.484 (68.707)
Epoch: [81][4340/7045]	Time 0.265 (0.250)	Data 0.213 (0.184)	Loss 2.6511 (2.5211)	Prec@1 37.891 (38.726)	Prec@5 65.234 (68.704)
Epoch: [81][4350/7045]	Time 0.128 (0.250)	Data 0.077 (0.184)	Loss 2.3447 (2.5209)	Prec@1 43.359 (38.729)	Prec@5 74.219 (68.706)
Epoch: [81][4360/7045]	Time 0.112 (0.250)	Data 0.060 (0.184)	Loss 2.4505 (2.5209)	Prec@1 39.844 (38.729)	Prec@5 67.578 (68.706)
Epoch: [81][4370/7045]	Time 0.447 (0.250)	Data 0.395 (0.184)	Loss 2.5882 (2.5209)	Prec@1 37.891 (38.729)	Prec@5 68.750 (68.706)
Epoch: [81][4380/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 2.6048 (2.5209)	Prec@1 35.547 (38.732)	Prec@5 70.312 (68.707)
Epoch: [81][4390/7045]	Time 0.601 (0.250)	Data 0.543 (0.184)	Loss 2.6116 (2.5210)	Prec@1 39.844 (38.730)	Prec@5 68.750 (68.707)
Epoch: [81][4400/7045]	Time 0.141 (0.250)	Data 0.089 (0.184)	Loss 2.3196 (2.5211)	Prec@1 46.094 (38.730)	Prec@5 71.484 (68.706)
Epoch: [81][4410/7045]	Time 0.110 (0.250)	Data 0.001 (0.184)	Loss 2.4138 (2.5210)	Prec@1 40.234 (38.727)	Prec@5 71.094 (68.707)
Epoch: [81][4420/7045]	Time 0.103 (0.250)	Data 0.001 (0.184)	Loss 2.7985 (2.5212)	Prec@1 35.547 (38.724)	Prec@5 64.062 (68.704)
Epoch: [81][4430/7045]	Time 0.222 (0.250)	Data 0.165 (0.184)	Loss 2.7032 (2.5214)	Prec@1 35.547 (38.722)	Prec@5 63.281 (68.701)
Epoch: [81][4440/7045]	Time 0.493 (0.250)	Data 0.441 (0.184)	Loss 2.6622 (2.5215)	Prec@1 35.156 (38.719)	Prec@5 66.797 (68.697)
Epoch: [81][4450/7045]	Time 0.141 (0.250)	Data 0.089 (0.184)	Loss 2.6848 (2.5216)	Prec@1 33.984 (38.719)	Prec@5 63.281 (68.695)
Epoch: [81][4460/7045]	Time 0.107 (0.250)	Data 0.055 (0.184)	Loss 2.6775 (2.5216)	Prec@1 34.766 (38.721)	Prec@5 66.797 (68.695)
Epoch: [81][4470/7045]	Time 0.475 (0.250)	Data 0.417 (0.184)	Loss 2.5415 (2.5216)	Prec@1 37.891 (38.719)	Prec@5 70.312 (68.695)
Epoch: [81][4480/7045]	Time 0.182 (0.250)	Data 0.131 (0.184)	Loss 2.4879 (2.5216)	Prec@1 37.500 (38.718)	Prec@5 66.797 (68.692)
Epoch: [81][4490/7045]	Time 0.557 (0.250)	Data 0.496 (0.184)	Loss 2.6245 (2.5216)	Prec@1 36.328 (38.720)	Prec@5 66.797 (68.692)
Epoch: [81][4500/7045]	Time 0.214 (0.250)	Data 0.163 (0.184)	Loss 2.5831 (2.5216)	Prec@1 38.281 (38.720)	Prec@5 68.750 (68.692)
Epoch: [81][4510/7045]	Time 0.438 (0.250)	Data 0.386 (0.185)	Loss 2.5115 (2.5216)	Prec@1 38.281 (38.719)	Prec@5 67.578 (68.691)
Epoch: [81][4520/7045]	Time 0.102 (0.250)	Data 0.002 (0.184)	Loss 2.4419 (2.5217)	Prec@1 41.406 (38.719)	Prec@5 72.266 (68.690)
Epoch: [81][4530/7045]	Time 0.103 (0.250)	Data 0.047 (0.184)	Loss 2.4804 (2.5215)	Prec@1 40.625 (38.724)	Prec@5 68.750 (68.693)
Epoch: [81][4540/7045]	Time 0.111 (0.250)	Data 0.059 (0.184)	Loss 2.6847 (2.5215)	Prec@1 33.203 (38.721)	Prec@5 66.016 (68.693)
Epoch: [81][4550/7045]	Time 0.362 (0.250)	Data 0.310 (0.185)	Loss 2.4806 (2.5215)	Prec@1 39.062 (38.721)	Prec@5 70.703 (68.692)
Epoch: [81][4560/7045]	Time 0.536 (0.250)	Data 0.485 (0.185)	Loss 2.3969 (2.5215)	Prec@1 44.531 (38.719)	Prec@5 71.484 (68.693)
Epoch: [81][4570/7045]	Time 0.113 (0.250)	Data 0.061 (0.184)	Loss 2.6569 (2.5214)	Prec@1 35.547 (38.720)	Prec@5 65.234 (68.694)
Epoch: [81][4580/7045]	Time 0.262 (0.250)	Data 0.211 (0.184)	Loss 2.5551 (2.5214)	Prec@1 35.547 (38.719)	Prec@5 71.484 (68.697)
Epoch: [81][4590/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 2.8097 (2.5216)	Prec@1 34.766 (38.717)	Prec@5 63.281 (68.693)
Epoch: [81][4600/7045]	Time 0.519 (0.250)	Data 0.468 (0.184)	Loss 2.5281 (2.5216)	Prec@1 39.453 (38.716)	Prec@5 70.703 (68.694)
Epoch: [81][4610/7045]	Time 0.347 (0.250)	Data 0.295 (0.184)	Loss 2.6288 (2.5218)	Prec@1 41.016 (38.715)	Prec@5 63.672 (68.689)
Epoch: [81][4620/7045]	Time 0.101 (0.250)	Data 0.001 (0.184)	Loss 2.6704 (2.5220)	Prec@1 32.812 (38.713)	Prec@5 64.844 (68.685)
Epoch: [81][4630/7045]	Time 0.103 (0.250)	Data 0.001 (0.184)	Loss 2.6419 (2.5220)	Prec@1 33.984 (38.713)	Prec@5 63.672 (68.684)
Epoch: [81][4640/7045]	Time 0.102 (0.250)	Data 0.004 (0.184)	Loss 2.7977 (2.5221)	Prec@1 33.594 (38.710)	Prec@5 66.406 (68.686)
Epoch: [81][4650/7045]	Time 0.487 (0.250)	Data 0.436 (0.184)	Loss 2.5114 (2.5219)	Prec@1 41.016 (38.713)	Prec@5 69.531 (68.690)
Epoch: [81][4660/7045]	Time 0.110 (0.250)	Data 0.001 (0.184)	Loss 2.5492 (2.5219)	Prec@1 38.281 (38.711)	Prec@5 69.141 (68.692)
Epoch: [81][4670/7045]	Time 0.423 (0.250)	Data 0.373 (0.184)	Loss 2.4835 (2.5219)	Prec@1 40.234 (38.711)	Prec@5 67.188 (68.691)
Epoch: [81][4680/7045]	Time 0.233 (0.250)	Data 0.181 (0.184)	Loss 2.7338 (2.5221)	Prec@1 38.672 (38.708)	Prec@5 59.766 (68.686)
Epoch: [81][4690/7045]	Time 0.135 (0.250)	Data 0.083 (0.184)	Loss 2.4914 (2.5221)	Prec@1 35.156 (38.707)	Prec@5 66.797 (68.688)
Epoch: [81][4700/7045]	Time 0.395 (0.250)	Data 0.344 (0.184)	Loss 2.7554 (2.5221)	Prec@1 33.203 (38.705)	Prec@5 64.844 (68.687)
Epoch: [81][4710/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 2.3076 (2.5221)	Prec@1 41.406 (38.704)	Prec@5 71.094 (68.689)
Epoch: [81][4720/7045]	Time 0.219 (0.250)	Data 0.166 (0.184)	Loss 2.4126 (2.5221)	Prec@1 41.016 (38.705)	Prec@5 68.750 (68.689)
Epoch: [81][4730/7045]	Time 0.159 (0.250)	Data 0.108 (0.184)	Loss 2.5142 (2.5221)	Prec@1 39.062 (38.707)	Prec@5 66.797 (68.689)
Epoch: [81][4740/7045]	Time 0.236 (0.250)	Data 0.184 (0.184)	Loss 2.5285 (2.5221)	Prec@1 36.328 (38.708)	Prec@5 67.969 (68.689)
Epoch: [81][4750/7045]	Time 0.325 (0.250)	Data 0.265 (0.184)	Loss 2.5543 (2.5220)	Prec@1 37.500 (38.706)	Prec@5 66.406 (68.689)
Epoch: [81][4760/7045]	Time 0.112 (0.250)	Data 0.001 (0.184)	Loss 2.3851 (2.5220)	Prec@1 38.281 (38.706)	Prec@5 71.875 (68.691)
Epoch: [81][4770/7045]	Time 0.197 (0.250)	Data 0.146 (0.184)	Loss 2.3080 (2.5218)	Prec@1 42.188 (38.705)	Prec@5 71.094 (68.692)
Epoch: [81][4780/7045]	Time 0.191 (0.250)	Data 0.140 (0.184)	Loss 2.5768 (2.5219)	Prec@1 34.375 (38.705)	Prec@5 68.750 (68.691)
Epoch: [81][4790/7045]	Time 0.671 (0.250)	Data 0.619 (0.185)	Loss 2.5314 (2.5219)	Prec@1 41.797 (38.705)	Prec@5 67.578 (68.689)
Epoch: [81][4800/7045]	Time 0.371 (0.250)	Data 0.318 (0.184)	Loss 2.6084 (2.5220)	Prec@1 35.156 (38.704)	Prec@5 63.281 (68.687)
Epoch: [81][4810/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 2.6274 (2.5220)	Prec@1 35.938 (38.704)	Prec@5 67.188 (68.688)
Epoch: [81][4820/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 2.3603 (2.5220)	Prec@1 41.406 (38.705)	Prec@5 72.266 (68.691)
Epoch: [81][4830/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 2.6960 (2.5219)	Prec@1 32.031 (38.704)	Prec@5 64.453 (68.689)
Epoch: [81][4840/7045]	Time 0.472 (0.250)	Data 0.420 (0.184)	Loss 2.4775 (2.5219)	Prec@1 36.328 (38.702)	Prec@5 72.266 (68.691)
Epoch: [81][4850/7045]	Time 0.222 (0.250)	Data 0.172 (0.184)	Loss 2.3878 (2.5219)	Prec@1 40.234 (38.704)	Prec@5 74.219 (68.692)
Epoch: [81][4860/7045]	Time 0.158 (0.250)	Data 0.106 (0.184)	Loss 2.5750 (2.5218)	Prec@1 38.281 (38.707)	Prec@5 69.531 (68.694)
Epoch: [81][4870/7045]	Time 0.594 (0.250)	Data 0.542 (0.184)	Loss 2.4145 (2.5219)	Prec@1 40.625 (38.705)	Prec@5 69.922 (68.694)
Epoch: [81][4880/7045]	Time 0.101 (0.250)	Data 0.001 (0.184)	Loss 2.4700 (2.5219)	Prec@1 41.016 (38.709)	Prec@5 69.141 (68.693)
Epoch: [81][4890/7045]	Time 0.108 (0.250)	Data 0.055 (0.184)	Loss 2.6818 (2.5220)	Prec@1 36.328 (38.708)	Prec@5 65.234 (68.689)
Epoch: [81][4900/7045]	Time 0.103 (0.250)	Data 0.001 (0.184)	Loss 2.6313 (2.5221)	Prec@1 36.328 (38.706)	Prec@5 66.797 (68.686)
Epoch: [81][4910/7045]	Time 0.109 (0.250)	Data 0.001 (0.184)	Loss 2.4733 (2.5221)	Prec@1 40.625 (38.706)	Prec@5 67.578 (68.686)
Epoch: [81][4920/7045]	Time 0.112 (0.250)	Data 0.056 (0.184)	Loss 2.3580 (2.5221)	Prec@1 44.141 (38.705)	Prec@5 73.047 (68.688)
Epoch: [81][4930/7045]	Time 0.107 (0.250)	Data 0.054 (0.184)	Loss 2.7081 (2.5223)	Prec@1 33.984 (38.702)	Prec@5 62.891 (68.684)
Epoch: [81][4940/7045]	Time 0.275 (0.250)	Data 0.224 (0.184)	Loss 2.6207 (2.5225)	Prec@1 36.719 (38.699)	Prec@5 69.141 (68.681)
Epoch: [81][4950/7045]	Time 0.388 (0.250)	Data 0.336 (0.184)	Loss 2.3603 (2.5224)	Prec@1 44.531 (38.700)	Prec@5 72.266 (68.684)
Epoch: [81][4960/7045]	Time 0.193 (0.250)	Data 0.141 (0.184)	Loss 2.6028 (2.5224)	Prec@1 39.844 (38.700)	Prec@5 68.750 (68.684)
Epoch: [81][4970/7045]	Time 0.320 (0.250)	Data 0.268 (0.184)	Loss 2.6418 (2.5226)	Prec@1 37.891 (38.697)	Prec@5 66.406 (68.681)
Epoch: [81][4980/7045]	Time 0.103 (0.250)	Data 0.001 (0.184)	Loss 2.2841 (2.5225)	Prec@1 41.406 (38.697)	Prec@5 74.609 (68.680)
Epoch: [81][4990/7045]	Time 0.456 (0.250)	Data 0.405 (0.184)	Loss 2.4751 (2.5226)	Prec@1 40.625 (38.693)	Prec@5 70.703 (68.678)
Epoch: [81][5000/7045]	Time 0.469 (0.250)	Data 0.416 (0.184)	Loss 2.5955 (2.5227)	Prec@1 32.031 (38.692)	Prec@5 66.406 (68.674)
Epoch: [81][5010/7045]	Time 0.116 (0.250)	Data 0.056 (0.184)	Loss 2.5009 (2.5227)	Prec@1 39.844 (38.692)	Prec@5 69.922 (68.675)
Epoch: [81][5020/7045]	Time 0.219 (0.250)	Data 0.167 (0.184)	Loss 2.5558 (2.5225)	Prec@1 36.719 (38.695)	Prec@5 66.406 (68.676)
Epoch: [81][5030/7045]	Time 0.211 (0.250)	Data 0.160 (0.184)	Loss 2.5716 (2.5225)	Prec@1 41.016 (38.695)	Prec@5 65.234 (68.677)
Epoch: [81][5040/7045]	Time 0.399 (0.250)	Data 0.347 (0.184)	Loss 2.4006 (2.5224)	Prec@1 39.844 (38.698)	Prec@5 72.266 (68.681)
Epoch: [81][5050/7045]	Time 0.649 (0.250)	Data 0.585 (0.185)	Loss 2.4838 (2.5225)	Prec@1 37.500 (38.698)	Prec@5 72.656 (68.680)
Epoch: [81][5060/7045]	Time 0.442 (0.250)	Data 0.389 (0.184)	Loss 2.7267 (2.5224)	Prec@1 35.156 (38.700)	Prec@5 65.234 (68.681)
Epoch: [81][5070/7045]	Time 0.166 (0.250)	Data 0.114 (0.184)	Loss 2.6040 (2.5225)	Prec@1 37.891 (38.701)	Prec@5 67.969 (68.679)
Epoch: [81][5080/7045]	Time 0.101 (0.250)	Data 0.016 (0.184)	Loss 2.3748 (2.5224)	Prec@1 43.359 (38.702)	Prec@5 69.922 (68.683)
Epoch: [81][5090/7045]	Time 0.151 (0.250)	Data 0.099 (0.184)	Loss 2.6768 (2.5224)	Prec@1 39.062 (38.703)	Prec@5 65.234 (68.683)
Epoch: [81][5100/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 2.5245 (2.5225)	Prec@1 41.797 (38.700)	Prec@5 69.141 (68.680)
Epoch: [81][5110/7045]	Time 0.434 (0.250)	Data 0.382 (0.184)	Loss 2.6836 (2.5226)	Prec@1 37.500 (38.696)	Prec@5 66.797 (68.678)
Epoch: [81][5120/7045]	Time 0.110 (0.250)	Data 0.001 (0.184)	Loss 2.4675 (2.5226)	Prec@1 42.578 (38.698)	Prec@5 68.359 (68.677)
Epoch: [81][5130/7045]	Time 0.610 (0.250)	Data 0.557 (0.184)	Loss 2.4694 (2.5226)	Prec@1 38.281 (38.698)	Prec@5 69.531 (68.678)
Epoch: [81][5140/7045]	Time 0.126 (0.250)	Data 0.073 (0.184)	Loss 2.4933 (2.5226)	Prec@1 40.625 (38.698)	Prec@5 69.531 (68.679)
Epoch: [81][5150/7045]	Time 0.378 (0.250)	Data 0.327 (0.184)	Loss 2.5480 (2.5226)	Prec@1 34.375 (38.699)	Prec@5 71.094 (68.677)
Epoch: [81][5160/7045]	Time 0.110 (0.250)	Data 0.009 (0.184)	Loss 2.5094 (2.5226)	Prec@1 41.016 (38.698)	Prec@5 67.969 (68.676)
Epoch: [81][5170/7045]	Time 0.728 (0.250)	Data 0.677 (0.184)	Loss 2.5812 (2.5228)	Prec@1 40.234 (38.697)	Prec@5 68.750 (68.674)
Epoch: [81][5180/7045]	Time 0.130 (0.250)	Data 0.079 (0.184)	Loss 2.7327 (2.5230)	Prec@1 33.594 (38.693)	Prec@5 61.719 (68.672)
Epoch: [81][5190/7045]	Time 0.233 (0.250)	Data 0.181 (0.184)	Loss 2.4292 (2.5231)	Prec@1 40.625 (38.693)	Prec@5 72.656 (68.671)
Epoch: [81][5200/7045]	Time 0.238 (0.250)	Data 0.186 (0.184)	Loss 2.3926 (2.5230)	Prec@1 44.141 (38.695)	Prec@5 71.875 (68.670)
Epoch: [81][5210/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 2.6880 (2.5230)	Prec@1 32.031 (38.695)	Prec@5 68.359 (68.671)
Epoch: [81][5220/7045]	Time 0.224 (0.250)	Data 0.171 (0.184)	Loss 2.6467 (2.5229)	Prec@1 35.938 (38.695)	Prec@5 67.969 (68.673)
Epoch: [81][5230/7045]	Time 0.102 (0.250)	Data 0.004 (0.184)	Loss 2.6633 (2.5230)	Prec@1 32.031 (38.693)	Prec@5 64.062 (68.673)
Epoch: [81][5240/7045]	Time 0.249 (0.250)	Data 0.197 (0.184)	Loss 2.5714 (2.5231)	Prec@1 37.109 (38.688)	Prec@5 71.484 (68.671)
Epoch: [81][5250/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 2.6244 (2.5233)	Prec@1 38.281 (38.684)	Prec@5 66.797 (68.667)
Epoch: [81][5260/7045]	Time 0.102 (0.250)	Data 0.019 (0.184)	Loss 2.4684 (2.5235)	Prec@1 36.328 (38.681)	Prec@5 69.531 (68.666)
Epoch: [81][5270/7045]	Time 0.209 (0.250)	Data 0.156 (0.184)	Loss 2.3311 (2.5234)	Prec@1 41.797 (38.681)	Prec@5 69.531 (68.668)
Epoch: [81][5280/7045]	Time 0.110 (0.250)	Data 0.019 (0.184)	Loss 2.3925 (2.5233)	Prec@1 40.234 (38.682)	Prec@5 74.219 (68.670)
Epoch: [81][5290/7045]	Time 0.199 (0.250)	Data 0.146 (0.184)	Loss 2.5691 (2.5234)	Prec@1 36.719 (38.681)	Prec@5 67.969 (68.667)
Epoch: [81][5300/7045]	Time 0.140 (0.250)	Data 0.088 (0.184)	Loss 2.5859 (2.5235)	Prec@1 37.891 (38.677)	Prec@5 69.531 (68.665)
Epoch: [81][5310/7045]	Time 0.255 (0.250)	Data 0.204 (0.184)	Loss 2.5449 (2.5235)	Prec@1 34.375 (38.677)	Prec@5 65.625 (68.664)
Epoch: [81][5320/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 2.6239 (2.5236)	Prec@1 39.453 (38.677)	Prec@5 66.406 (68.665)
Epoch: [81][5330/7045]	Time 0.687 (0.250)	Data 0.636 (0.184)	Loss 2.5720 (2.5235)	Prec@1 39.062 (38.682)	Prec@5 69.531 (68.667)
Epoch: [81][5340/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 2.6796 (2.5235)	Prec@1 35.156 (38.683)	Prec@5 63.281 (68.666)
Epoch: [81][5350/7045]	Time 0.313 (0.250)	Data 0.261 (0.184)	Loss 2.4930 (2.5233)	Prec@1 41.406 (38.686)	Prec@5 69.141 (68.670)
Epoch: [81][5360/7045]	Time 0.101 (0.250)	Data 0.001 (0.184)	Loss 2.4463 (2.5233)	Prec@1 38.281 (38.688)	Prec@5 69.922 (68.668)
Epoch: [81][5370/7045]	Time 0.437 (0.250)	Data 0.385 (0.184)	Loss 2.4971 (2.5233)	Prec@1 34.375 (38.686)	Prec@5 68.359 (68.669)
Epoch: [81][5380/7045]	Time 0.230 (0.250)	Data 0.178 (0.184)	Loss 2.3851 (2.5232)	Prec@1 42.578 (38.688)	Prec@5 72.656 (68.672)
Epoch: [81][5390/7045]	Time 0.106 (0.250)	Data 0.054 (0.184)	Loss 2.5845 (2.5232)	Prec@1 38.281 (38.688)	Prec@5 68.750 (68.672)
Epoch: [81][5400/7045]	Time 0.103 (0.250)	Data 0.001 (0.184)	Loss 2.4494 (2.5231)	Prec@1 41.016 (38.689)	Prec@5 69.531 (68.675)
Epoch: [81][5410/7045]	Time 0.320 (0.250)	Data 0.268 (0.184)	Loss 2.7563 (2.5231)	Prec@1 36.719 (38.688)	Prec@5 64.844 (68.675)
Epoch: [81][5420/7045]	Time 0.152 (0.250)	Data 0.101 (0.184)	Loss 2.6452 (2.5232)	Prec@1 37.500 (38.688)	Prec@5 66.406 (68.674)
Epoch: [81][5430/7045]	Time 0.214 (0.250)	Data 0.161 (0.184)	Loss 2.6500 (2.5232)	Prec@1 36.328 (38.689)	Prec@5 66.406 (68.672)
Epoch: [81][5440/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 2.4504 (2.5231)	Prec@1 35.547 (38.690)	Prec@5 70.703 (68.672)
Epoch: [81][5450/7045]	Time 0.419 (0.250)	Data 0.368 (0.184)	Loss 2.6529 (2.5233)	Prec@1 34.375 (38.686)	Prec@5 67.188 (68.668)
Epoch: [81][5460/7045]	Time 0.139 (0.250)	Data 0.087 (0.184)	Loss 2.5100 (2.5233)	Prec@1 36.328 (38.687)	Prec@5 65.234 (68.667)
Epoch: [81][5470/7045]	Time 0.157 (0.250)	Data 0.106 (0.184)	Loss 2.6119 (2.5233)	Prec@1 38.672 (38.690)	Prec@5 69.531 (68.669)
Epoch: [81][5480/7045]	Time 0.102 (0.250)	Data 0.046 (0.184)	Loss 2.3998 (2.5233)	Prec@1 47.266 (38.689)	Prec@5 71.875 (68.668)
Epoch: [81][5490/7045]	Time 0.340 (0.250)	Data 0.279 (0.184)	Loss 2.5853 (2.5233)	Prec@1 39.062 (38.691)	Prec@5 68.359 (68.670)
Epoch: [81][5500/7045]	Time 0.273 (0.250)	Data 0.214 (0.184)	Loss 2.5930 (2.5234)	Prec@1 36.719 (38.688)	Prec@5 66.797 (68.668)
Epoch: [81][5510/7045]	Time 0.244 (0.250)	Data 0.192 (0.184)	Loss 2.6610 (2.5235)	Prec@1 32.031 (38.686)	Prec@5 68.750 (68.667)
Epoch: [81][5520/7045]	Time 0.101 (0.250)	Data 0.002 (0.184)	Loss 2.3290 (2.5234)	Prec@1 39.062 (38.687)	Prec@5 71.484 (68.669)
Epoch: [81][5530/7045]	Time 0.267 (0.250)	Data 0.214 (0.184)	Loss 2.5857 (2.5234)	Prec@1 35.547 (38.688)	Prec@5 66.797 (68.668)
Epoch: [81][5540/7045]	Time 0.281 (0.250)	Data 0.228 (0.184)	Loss 2.6165 (2.5234)	Prec@1 36.719 (38.688)	Prec@5 67.969 (68.666)
Epoch: [81][5550/7045]	Time 0.515 (0.250)	Data 0.464 (0.184)	Loss 2.3783 (2.5232)	Prec@1 40.234 (38.691)	Prec@5 72.266 (68.670)
Epoch: [81][5560/7045]	Time 0.502 (0.250)	Data 0.451 (0.184)	Loss 2.3371 (2.5232)	Prec@1 42.578 (38.690)	Prec@5 71.484 (68.670)
Epoch: [81][5570/7045]	Time 0.108 (0.250)	Data 0.007 (0.184)	Loss 2.3738 (2.5232)	Prec@1 44.531 (38.692)	Prec@5 67.969 (68.670)
Epoch: [81][5580/7045]	Time 0.457 (0.250)	Data 0.406 (0.184)	Loss 2.4399 (2.5231)	Prec@1 38.281 (38.691)	Prec@5 69.141 (68.672)
Epoch: [81][5590/7045]	Time 0.108 (0.250)	Data 0.055 (0.184)	Loss 2.3810 (2.5231)	Prec@1 39.844 (38.691)	Prec@5 69.531 (68.673)
Epoch: [81][5600/7045]	Time 0.205 (0.250)	Data 0.152 (0.184)	Loss 2.4660 (2.5232)	Prec@1 36.719 (38.689)	Prec@5 67.969 (68.672)
Epoch: [81][5610/7045]	Time 0.290 (0.250)	Data 0.238 (0.184)	Loss 2.6288 (2.5233)	Prec@1 39.453 (38.687)	Prec@5 67.188 (68.669)
Epoch: [81][5620/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 2.6221 (2.5233)	Prec@1 41.016 (38.687)	Prec@5 67.578 (68.666)
Epoch: [81][5630/7045]	Time 0.653 (0.250)	Data 0.593 (0.184)	Loss 2.3989 (2.5233)	Prec@1 38.281 (38.687)	Prec@5 72.266 (68.667)
Epoch: [81][5640/7045]	Time 0.110 (0.250)	Data 0.001 (0.184)	Loss 2.4388 (2.5233)	Prec@1 39.844 (38.688)	Prec@5 70.312 (68.665)
Epoch: [81][5650/7045]	Time 0.515 (0.250)	Data 0.463 (0.184)	Loss 2.5681 (2.5232)	Prec@1 38.281 (38.690)	Prec@5 67.969 (68.666)
Epoch: [81][5660/7045]	Time 0.147 (0.250)	Data 0.095 (0.184)	Loss 2.6185 (2.5233)	Prec@1 37.500 (38.687)	Prec@5 66.406 (68.666)
Epoch: [81][5670/7045]	Time 0.144 (0.250)	Data 0.093 (0.184)	Loss 2.6470 (2.5233)	Prec@1 35.156 (38.686)	Prec@5 66.016 (68.665)
Epoch: [81][5680/7045]	Time 0.624 (0.250)	Data 0.573 (0.184)	Loss 2.4099 (2.5234)	Prec@1 39.062 (38.685)	Prec@5 72.266 (68.666)
Epoch: [81][5690/7045]	Time 0.340 (0.250)	Data 0.288 (0.184)	Loss 2.4763 (2.5234)	Prec@1 42.578 (38.684)	Prec@5 70.703 (68.667)
Epoch: [81][5700/7045]	Time 0.101 (0.250)	Data 0.007 (0.184)	Loss 2.7040 (2.5236)	Prec@1 35.156 (38.681)	Prec@5 64.453 (68.663)
Epoch: [81][5710/7045]	Time 0.159 (0.250)	Data 0.106 (0.184)	Loss 2.2668 (2.5235)	Prec@1 45.312 (38.682)	Prec@5 74.219 (68.664)
Epoch: [81][5720/7045]	Time 0.103 (0.250)	Data 0.001 (0.184)	Loss 2.6717 (2.5236)	Prec@1 33.203 (38.679)	Prec@5 67.969 (68.664)
Epoch: [81][5730/7045]	Time 0.158 (0.250)	Data 0.106 (0.184)	Loss 2.5261 (2.5236)	Prec@1 41.406 (38.679)	Prec@5 67.578 (68.664)
Epoch: [81][5740/7045]	Time 0.110 (0.250)	Data 0.057 (0.184)	Loss 2.4415 (2.5236)	Prec@1 41.797 (38.678)	Prec@5 66.406 (68.662)
Epoch: [81][5750/7045]	Time 0.103 (0.250)	Data 0.001 (0.184)	Loss 2.6006 (2.5236)	Prec@1 36.719 (38.678)	Prec@5 69.141 (68.661)
Epoch: [81][5760/7045]	Time 0.103 (0.250)	Data 0.001 (0.184)	Loss 2.4639 (2.5236)	Prec@1 36.328 (38.678)	Prec@5 68.750 (68.661)
Epoch: [81][5770/7045]	Time 0.545 (0.250)	Data 0.493 (0.184)	Loss 2.4962 (2.5237)	Prec@1 36.719 (38.677)	Prec@5 72.266 (68.659)
Epoch: [81][5780/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 2.4830 (2.5237)	Prec@1 38.672 (38.678)	Prec@5 67.188 (68.660)
Epoch: [81][5790/7045]	Time 0.533 (0.250)	Data 0.482 (0.184)	Loss 2.5838 (2.5236)	Prec@1 41.406 (38.680)	Prec@5 66.797 (68.661)
Epoch: [81][5800/7045]	Time 0.295 (0.250)	Data 0.244 (0.184)	Loss 2.4165 (2.5236)	Prec@1 39.062 (38.682)	Prec@5 72.266 (68.659)
Epoch: [81][5810/7045]	Time 0.143 (0.250)	Data 0.083 (0.184)	Loss 2.5155 (2.5236)	Prec@1 35.938 (38.680)	Prec@5 67.188 (68.658)
Epoch: [81][5820/7045]	Time 0.106 (0.250)	Data 0.054 (0.184)	Loss 2.4447 (2.5237)	Prec@1 39.844 (38.680)	Prec@5 70.703 (68.659)
Epoch: [81][5830/7045]	Time 0.110 (0.250)	Data 0.056 (0.184)	Loss 2.6297 (2.5237)	Prec@1 37.109 (38.682)	Prec@5 63.672 (68.659)
Epoch: [81][5840/7045]	Time 0.116 (0.250)	Data 0.064 (0.184)	Loss 2.5517 (2.5238)	Prec@1 38.672 (38.679)	Prec@5 68.750 (68.657)
Epoch: [81][5850/7045]	Time 0.643 (0.250)	Data 0.591 (0.184)	Loss 2.7218 (2.5238)	Prec@1 31.250 (38.676)	Prec@5 64.453 (68.659)
Epoch: [81][5860/7045]	Time 0.210 (0.250)	Data 0.159 (0.184)	Loss 2.7739 (2.5239)	Prec@1 34.375 (38.674)	Prec@5 63.672 (68.658)
Epoch: [81][5870/7045]	Time 0.302 (0.250)	Data 0.251 (0.184)	Loss 2.5609 (2.5239)	Prec@1 39.062 (38.674)	Prec@5 67.578 (68.659)
Epoch: [81][5880/7045]	Time 0.158 (0.250)	Data 0.106 (0.184)	Loss 2.6474 (2.5239)	Prec@1 35.547 (38.672)	Prec@5 66.797 (68.658)
Epoch: [81][5890/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 2.5899 (2.5240)	Prec@1 36.328 (38.672)	Prec@5 68.359 (68.658)
Epoch: [81][5900/7045]	Time 0.173 (0.250)	Data 0.122 (0.184)	Loss 2.6340 (2.5240)	Prec@1 34.766 (38.673)	Prec@5 66.406 (68.658)
Epoch: [81][5910/7045]	Time 0.704 (0.250)	Data 0.652 (0.184)	Loss 2.4947 (2.5240)	Prec@1 40.234 (38.674)	Prec@5 71.094 (68.660)
Epoch: [81][5920/7045]	Time 0.189 (0.250)	Data 0.137 (0.184)	Loss 2.6959 (2.5240)	Prec@1 32.422 (38.674)	Prec@5 62.500 (68.658)
Epoch: [81][5930/7045]	Time 0.422 (0.250)	Data 0.363 (0.184)	Loss 2.3438 (2.5239)	Prec@1 38.672 (38.673)	Prec@5 71.484 (68.660)
Epoch: [81][5940/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 2.5159 (2.5239)	Prec@1 39.062 (38.675)	Prec@5 69.531 (68.662)
Epoch: [81][5950/7045]	Time 0.101 (0.250)	Data 0.006 (0.184)	Loss 2.7533 (2.5239)	Prec@1 33.594 (38.676)	Prec@5 64.062 (68.660)
Epoch: [81][5960/7045]	Time 0.208 (0.250)	Data 0.156 (0.184)	Loss 2.4956 (2.5240)	Prec@1 40.625 (38.675)	Prec@5 68.359 (68.659)
Epoch: [81][5970/7045]	Time 0.661 (0.250)	Data 0.609 (0.184)	Loss 2.6074 (2.5240)	Prec@1 34.766 (38.673)	Prec@5 65.625 (68.658)
Epoch: [81][5980/7045]	Time 0.110 (0.250)	Data 0.001 (0.184)	Loss 2.6182 (2.5241)	Prec@1 38.281 (38.672)	Prec@5 66.406 (68.658)
Epoch: [81][5990/7045]	Time 0.384 (0.250)	Data 0.333 (0.184)	Loss 2.6199 (2.5242)	Prec@1 36.719 (38.672)	Prec@5 65.234 (68.656)
Epoch: [81][6000/7045]	Time 0.661 (0.250)	Data 0.608 (0.184)	Loss 2.2882 (2.5242)	Prec@1 42.188 (38.672)	Prec@5 71.875 (68.654)
Epoch: [81][6010/7045]	Time 0.100 (0.250)	Data 0.001 (0.184)	Loss 2.3427 (2.5240)	Prec@1 40.625 (38.676)	Prec@5 74.609 (68.657)
Epoch: [81][6020/7045]	Time 0.331 (0.250)	Data 0.272 (0.184)	Loss 2.5060 (2.5239)	Prec@1 42.578 (38.677)	Prec@5 69.141 (68.659)
Epoch: [81][6030/7045]	Time 0.103 (0.250)	Data 0.001 (0.184)	Loss 2.4234 (2.5239)	Prec@1 43.359 (38.677)	Prec@5 68.359 (68.661)
Epoch: [81][6040/7045]	Time 0.111 (0.250)	Data 0.058 (0.184)	Loss 2.3446 (2.5238)	Prec@1 40.625 (38.676)	Prec@5 71.875 (68.662)
Epoch: [81][6050/7045]	Time 0.330 (0.250)	Data 0.278 (0.184)	Loss 2.7201 (2.5238)	Prec@1 36.328 (38.677)	Prec@5 64.062 (68.661)
Epoch: [81][6060/7045]	Time 0.101 (0.250)	Data 0.001 (0.184)	Loss 2.6868 (2.5239)	Prec@1 35.547 (38.677)	Prec@5 68.750 (68.663)
Epoch: [81][6070/7045]	Time 0.640 (0.250)	Data 0.588 (0.184)	Loss 2.8923 (2.5239)	Prec@1 31.641 (38.678)	Prec@5 61.328 (68.662)
Epoch: [81][6080/7045]	Time 0.111 (0.250)	Data 0.060 (0.184)	Loss 2.5158 (2.5238)	Prec@1 38.281 (38.680)	Prec@5 71.875 (68.665)
Epoch: [81][6090/7045]	Time 0.111 (0.250)	Data 0.008 (0.184)	Loss 2.3050 (2.5237)	Prec@1 42.969 (38.681)	Prec@5 73.438 (68.667)
Epoch: [81][6100/7045]	Time 0.317 (0.250)	Data 0.266 (0.184)	Loss 2.5126 (2.5237)	Prec@1 39.453 (38.682)	Prec@5 67.969 (68.667)
Epoch: [81][6110/7045]	Time 0.103 (0.250)	Data 0.001 (0.184)	Loss 2.5259 (2.5237)	Prec@1 38.281 (38.681)	Prec@5 67.188 (68.667)
Epoch: [81][6120/7045]	Time 0.598 (0.250)	Data 0.541 (0.184)	Loss 2.4844 (2.5236)	Prec@1 41.797 (38.685)	Prec@5 69.922 (68.668)
Epoch: [81][6130/7045]	Time 0.143 (0.250)	Data 0.091 (0.184)	Loss 2.3676 (2.5236)	Prec@1 41.797 (38.686)	Prec@5 70.703 (68.668)
Epoch: [81][6140/7045]	Time 0.280 (0.250)	Data 0.219 (0.184)	Loss 2.5381 (2.5236)	Prec@1 36.328 (38.685)	Prec@5 67.188 (68.668)
Epoch: [81][6150/7045]	Time 0.143 (0.250)	Data 0.092 (0.184)	Loss 2.4791 (2.5237)	Prec@1 44.531 (38.686)	Prec@5 68.359 (68.667)
Epoch: [81][6160/7045]	Time 0.388 (0.250)	Data 0.337 (0.184)	Loss 2.8052 (2.5237)	Prec@1 32.031 (38.685)	Prec@5 66.406 (68.669)
Epoch: [81][6170/7045]	Time 0.356 (0.250)	Data 0.304 (0.184)	Loss 2.4671 (2.5236)	Prec@1 39.844 (38.687)	Prec@5 69.141 (68.669)
Epoch: [81][6180/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 2.7902 (2.5236)	Prec@1 31.641 (38.688)	Prec@5 64.453 (68.669)
Epoch: [81][6190/7045]	Time 0.102 (0.250)	Data 0.002 (0.184)	Loss 2.6315 (2.5235)	Prec@1 41.797 (38.689)	Prec@5 70.703 (68.671)
Epoch: [81][6200/7045]	Time 0.101 (0.250)	Data 0.001 (0.184)	Loss 2.4910 (2.5235)	Prec@1 35.938 (38.693)	Prec@5 70.703 (68.672)
Epoch: [81][6210/7045]	Time 0.532 (0.250)	Data 0.479 (0.184)	Loss 2.5058 (2.5234)	Prec@1 37.109 (38.693)	Prec@5 67.188 (68.673)
Epoch: [81][6220/7045]	Time 0.236 (0.250)	Data 0.185 (0.184)	Loss 2.6124 (2.5234)	Prec@1 31.250 (38.691)	Prec@5 64.844 (68.672)
Epoch: [81][6230/7045]	Time 0.110 (0.250)	Data 0.001 (0.184)	Loss 2.4475 (2.5233)	Prec@1 37.891 (38.692)	Prec@5 69.922 (68.672)
Epoch: [81][6240/7045]	Time 0.191 (0.250)	Data 0.139 (0.184)	Loss 2.5806 (2.5234)	Prec@1 35.156 (38.691)	Prec@5 71.094 (68.671)
Epoch: [81][6250/7045]	Time 0.128 (0.250)	Data 0.077 (0.184)	Loss 2.3835 (2.5234)	Prec@1 40.625 (38.693)	Prec@5 70.312 (68.672)
Epoch: [81][6260/7045]	Time 0.431 (0.250)	Data 0.378 (0.184)	Loss 2.3983 (2.5235)	Prec@1 36.328 (38.690)	Prec@5 72.656 (68.672)
Epoch: [81][6270/7045]	Time 0.109 (0.250)	Data 0.055 (0.184)	Loss 2.6807 (2.5235)	Prec@1 37.500 (38.691)	Prec@5 67.188 (68.672)
Epoch: [81][6280/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 2.4822 (2.5235)	Prec@1 41.016 (38.689)	Prec@5 71.094 (68.673)
Epoch: [81][6290/7045]	Time 0.103 (0.250)	Data 0.001 (0.184)	Loss 2.4629 (2.5235)	Prec@1 35.156 (38.687)	Prec@5 69.141 (68.671)
Epoch: [81][6300/7045]	Time 0.103 (0.250)	Data 0.004 (0.184)	Loss 2.6689 (2.5235)	Prec@1 41.406 (38.687)	Prec@5 66.406 (68.671)
Epoch: [81][6310/7045]	Time 0.489 (0.250)	Data 0.437 (0.184)	Loss 2.8127 (2.5235)	Prec@1 34.375 (38.685)	Prec@5 65.234 (68.671)
Epoch: [81][6320/7045]	Time 0.109 (0.250)	Data 0.004 (0.184)	Loss 2.4976 (2.5236)	Prec@1 39.062 (38.686)	Prec@5 71.484 (68.671)
Epoch: [81][6330/7045]	Time 0.753 (0.250)	Data 0.701 (0.184)	Loss 2.3605 (2.5236)	Prec@1 39.453 (38.685)	Prec@5 70.312 (68.670)
Epoch: [81][6340/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 2.5864 (2.5236)	Prec@1 39.453 (38.688)	Prec@5 67.969 (68.671)
Epoch: [81][6350/7045]	Time 0.243 (0.250)	Data 0.191 (0.184)	Loss 2.4679 (2.5236)	Prec@1 41.016 (38.687)	Prec@5 66.406 (68.669)
Epoch: [81][6360/7045]	Time 0.103 (0.250)	Data 0.001 (0.184)	Loss 2.4043 (2.5235)	Prec@1 38.672 (38.690)	Prec@5 73.828 (68.672)
Epoch: [81][6370/7045]	Time 0.205 (0.250)	Data 0.153 (0.184)	Loss 2.6212 (2.5235)	Prec@1 39.453 (38.689)	Prec@5 67.969 (68.674)
Epoch: [81][6380/7045]	Time 0.244 (0.250)	Data 0.193 (0.184)	Loss 2.4248 (2.5235)	Prec@1 39.062 (38.688)	Prec@5 70.703 (68.674)
Epoch: [81][6390/7045]	Time 0.112 (0.250)	Data 0.060 (0.184)	Loss 2.3368 (2.5234)	Prec@1 39.844 (38.690)	Prec@5 71.875 (68.674)
Epoch: [81][6400/7045]	Time 0.922 (0.250)	Data 0.871 (0.184)	Loss 2.6739 (2.5235)	Prec@1 34.375 (38.688)	Prec@5 66.016 (68.673)
Epoch: [81][6410/7045]	Time 0.109 (0.250)	Data 0.001 (0.184)	Loss 2.6285 (2.5236)	Prec@1 40.234 (38.686)	Prec@5 65.625 (68.672)
Epoch: [81][6420/7045]	Time 0.371 (0.250)	Data 0.320 (0.184)	Loss 2.4690 (2.5236)	Prec@1 41.016 (38.686)	Prec@5 69.141 (68.671)
Epoch: [81][6430/7045]	Time 0.103 (0.250)	Data 0.001 (0.184)	Loss 2.6961 (2.5236)	Prec@1 35.156 (38.685)	Prec@5 67.578 (68.670)
Epoch: [81][6440/7045]	Time 0.102 (0.250)	Data 0.013 (0.184)	Loss 2.3370 (2.5236)	Prec@1 39.062 (38.686)	Prec@5 70.703 (68.670)
Epoch: [81][6450/7045]	Time 0.322 (0.250)	Data 0.269 (0.184)	Loss 2.5025 (2.5236)	Prec@1 40.625 (38.686)	Prec@5 69.531 (68.671)
Epoch: [81][6460/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 2.4890 (2.5235)	Prec@1 41.016 (38.689)	Prec@5 67.188 (68.670)
Epoch: [81][6470/7045]	Time 0.511 (0.250)	Data 0.461 (0.184)	Loss 2.5572 (2.5235)	Prec@1 40.234 (38.690)	Prec@5 67.188 (68.670)
Epoch: [81][6480/7045]	Time 0.441 (0.250)	Data 0.390 (0.184)	Loss 2.4769 (2.5236)	Prec@1 39.844 (38.690)	Prec@5 67.969 (68.668)
Epoch: [81][6490/7045]	Time 0.102 (0.250)	Data 0.004 (0.184)	Loss 2.4114 (2.5236)	Prec@1 40.625 (38.692)	Prec@5 71.875 (68.668)
Epoch: [81][6500/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 2.5761 (2.5236)	Prec@1 38.672 (38.691)	Prec@5 69.141 (68.667)
Epoch: [81][6510/7045]	Time 0.103 (0.250)	Data 0.001 (0.184)	Loss 2.6488 (2.5236)	Prec@1 37.891 (38.693)	Prec@5 67.188 (68.666)
Epoch: [81][6520/7045]	Time 0.415 (0.250)	Data 0.363 (0.184)	Loss 2.4860 (2.5235)	Prec@1 41.016 (38.693)	Prec@5 70.312 (68.669)
Epoch: [81][6530/7045]	Time 0.394 (0.250)	Data 0.343 (0.184)	Loss 2.4539 (2.5234)	Prec@1 37.109 (38.695)	Prec@5 71.094 (68.670)
Epoch: [81][6540/7045]	Time 0.250 (0.250)	Data 0.191 (0.184)	Loss 2.5314 (2.5234)	Prec@1 41.016 (38.696)	Prec@5 67.969 (68.669)
Epoch: [81][6550/7045]	Time 0.313 (0.250)	Data 0.261 (0.184)	Loss 2.5253 (2.5235)	Prec@1 39.844 (38.694)	Prec@5 68.359 (68.666)
Epoch: [81][6560/7045]	Time 0.107 (0.250)	Data 0.055 (0.184)	Loss 2.3258 (2.5236)	Prec@1 40.625 (38.692)	Prec@5 71.094 (68.666)
Epoch: [81][6570/7045]	Time 0.574 (0.250)	Data 0.522 (0.184)	Loss 2.6554 (2.5236)	Prec@1 34.375 (38.692)	Prec@5 65.234 (68.667)
Epoch: [81][6580/7045]	Time 0.318 (0.250)	Data 0.264 (0.184)	Loss 2.6312 (2.5236)	Prec@1 38.281 (38.690)	Prec@5 63.672 (68.666)
Epoch: [81][6590/7045]	Time 0.119 (0.250)	Data 0.059 (0.184)	Loss 2.2915 (2.5236)	Prec@1 43.359 (38.690)	Prec@5 72.656 (68.665)
Epoch: [81][6600/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 2.2985 (2.5235)	Prec@1 42.188 (38.691)	Prec@5 71.484 (68.667)
Epoch: [81][6610/7045]	Time 0.154 (0.250)	Data 0.102 (0.184)	Loss 2.7359 (2.5236)	Prec@1 35.156 (38.689)	Prec@5 66.797 (68.665)
Epoch: [81][6620/7045]	Time 0.601 (0.250)	Data 0.549 (0.184)	Loss 2.4913 (2.5236)	Prec@1 41.797 (38.690)	Prec@5 66.406 (68.666)
Epoch: [81][6630/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 2.5733 (2.5235)	Prec@1 39.062 (38.690)	Prec@5 69.141 (68.668)
Epoch: [81][6640/7045]	Time 0.111 (0.250)	Data 0.060 (0.184)	Loss 2.4680 (2.5235)	Prec@1 41.016 (38.691)	Prec@5 67.969 (68.668)
Epoch: [81][6650/7045]	Time 0.103 (0.250)	Data 0.001 (0.184)	Loss 2.5608 (2.5235)	Prec@1 36.719 (38.692)	Prec@5 69.141 (68.669)
Epoch: [81][6660/7045]	Time 0.114 (0.250)	Data 0.055 (0.184)	Loss 2.3207 (2.5234)	Prec@1 42.188 (38.695)	Prec@5 73.438 (68.672)
Epoch: [81][6670/7045]	Time 0.279 (0.250)	Data 0.227 (0.184)	Loss 2.5453 (2.5236)	Prec@1 42.188 (38.693)	Prec@5 67.578 (68.668)
Epoch: [81][6680/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 2.6803 (2.5237)	Prec@1 35.547 (38.691)	Prec@5 65.234 (68.666)
Epoch: [81][6690/7045]	Time 0.159 (0.250)	Data 0.108 (0.184)	Loss 2.3103 (2.5236)	Prec@1 45.312 (38.692)	Prec@5 70.703 (68.667)
Epoch: [81][6700/7045]	Time 0.666 (0.250)	Data 0.614 (0.184)	Loss 2.5098 (2.5235)	Prec@1 41.406 (38.693)	Prec@5 67.188 (68.668)
Epoch: [81][6710/7045]	Time 0.109 (0.250)	Data 0.005 (0.184)	Loss 2.5058 (2.5236)	Prec@1 39.062 (38.691)	Prec@5 67.969 (68.667)
Epoch: [81][6720/7045]	Time 0.418 (0.250)	Data 0.359 (0.184)	Loss 2.3997 (2.5235)	Prec@1 38.672 (38.692)	Prec@5 71.094 (68.668)
Epoch: [81][6730/7045]	Time 0.307 (0.250)	Data 0.255 (0.184)	Loss 2.5568 (2.5235)	Prec@1 38.281 (38.692)	Prec@5 65.234 (68.667)
Epoch: [81][6740/7045]	Time 0.486 (0.250)	Data 0.434 (0.184)	Loss 2.7031 (2.5236)	Prec@1 34.375 (38.691)	Prec@5 63.672 (68.664)
Epoch: [81][6750/7045]	Time 0.108 (0.250)	Data 0.001 (0.184)	Loss 2.4933 (2.5236)	Prec@1 41.797 (38.692)	Prec@5 69.922 (68.665)
Epoch: [81][6760/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 2.6889 (2.5236)	Prec@1 34.766 (38.694)	Prec@5 65.625 (68.664)
Epoch: [81][6770/7045]	Time 0.102 (0.250)	Data 0.001 (0.184)	Loss 2.4668 (2.5235)	Prec@1 34.766 (38.695)	Prec@5 69.141 (68.664)
Epoch: [81][6780/7045]	Time 0.520 (0.250)	Data 0.461 (0.184)	Loss 2.4464 (2.5235)	Prec@1 38.281 (38.695)	Prec@5 69.531 (68.665)
Epoch: [81][6790/7045]	Time 0.107 (0.250)	Data 0.054 (0.184)	Loss 2.4319 (2.5235)	Prec@1 39.844 (38.696)	Prec@5 70.703 (68.664)
Epoch: [81][6800/7045]	Time 0.298 (0.250)	Data 0.246 (0.184)	Loss 2.4851 (2.5235)	Prec@1 38.281 (38.696)	Prec@5 68.359 (68.665)
Epoch: [81][6810/7045]	Time 0.456 (0.250)	Data 0.404 (0.184)	Loss 2.4381 (2.5236)	Prec@1 37.891 (38.695)	Prec@5 70.703 (68.663)
Epoch: [81][6820/7045]	Time 0.112 (0.250)	Data 0.061 (0.184)	Loss 2.5405 (2.5236)	Prec@1 38.281 (38.695)	Prec@5 67.969 (68.664)
Epoch: [81][6830/7045]	Time 0.742 (0.250)	Data 0.690 (0.184)	Loss 2.3850 (2.5236)	Prec@1 41.406 (38.693)	Prec@5 71.875 (68.665)
Epoch: [81][6840/7045]	Time 0.103 (0.250)	Data 0.006 (0.184)	Loss 2.9327 (2.5236)	Prec@1 36.328 (38.693)	Prec@5 63.672 (68.666)
Epoch: [81][6850/7045]	Time 0.419 (0.250)	Data 0.366 (0.184)	Loss 2.5293 (2.5237)	Prec@1 38.281 (38.690)	Prec@5 68.359 (68.665)
Epoch: [81][6860/7045]	Time 0.102 (0.250)	Data 0.001 (0.183)	Loss 2.2477 (2.5236)	Prec@1 46.484 (38.695)	Prec@5 74.219 (68.667)
Epoch: [81][6870/7045]	Time 0.211 (0.250)	Data 0.154 (0.184)	Loss 2.3030 (2.5235)	Prec@1 39.062 (38.696)	Prec@5 71.094 (68.668)
Epoch: [81][6880/7045]	Time 0.416 (0.250)	Data 0.365 (0.184)	Loss 2.5183 (2.5235)	Prec@1 40.625 (38.698)	Prec@5 66.016 (68.668)
Epoch: [81][6890/7045]	Time 0.190 (0.250)	Data 0.139 (0.183)	Loss 2.4002 (2.5235)	Prec@1 43.359 (38.698)	Prec@5 70.703 (68.668)
Epoch: [81][6900/7045]	Time 0.686 (0.250)	Data 0.635 (0.184)	Loss 2.5546 (2.5235)	Prec@1 36.328 (38.698)	Prec@5 68.359 (68.667)
Epoch: [81][6910/7045]	Time 0.119 (0.250)	Data 0.068 (0.183)	Loss 2.4684 (2.5236)	Prec@1 39.453 (38.697)	Prec@5 70.703 (68.667)
Epoch: [81][6920/7045]	Time 0.336 (0.250)	Data 0.283 (0.183)	Loss 2.5350 (2.5235)	Prec@1 38.672 (38.699)	Prec@5 66.016 (68.669)
Epoch: [81][6930/7045]	Time 0.102 (0.250)	Data 0.008 (0.183)	Loss 2.5480 (2.5234)	Prec@1 40.625 (38.700)	Prec@5 68.750 (68.670)
Epoch: [81][6940/7045]	Time 0.347 (0.250)	Data 0.296 (0.183)	Loss 2.6750 (2.5234)	Prec@1 37.500 (38.701)	Prec@5 66.406 (68.669)
Epoch: [81][6950/7045]	Time 0.502 (0.250)	Data 0.450 (0.183)	Loss 2.3008 (2.5233)	Prec@1 38.672 (38.703)	Prec@5 73.828 (68.672)
Epoch: [81][6960/7045]	Time 0.102 (0.250)	Data 0.001 (0.183)	Loss 2.3867 (2.5233)	Prec@1 38.672 (38.702)	Prec@5 70.312 (68.671)
Epoch: [81][6970/7045]	Time 0.102 (0.250)	Data 0.001 (0.183)	Loss 2.3657 (2.5234)	Prec@1 45.703 (38.702)	Prec@5 71.875 (68.671)
Epoch: [81][6980/7045]	Time 0.113 (0.250)	Data 0.061 (0.183)	Loss 2.3216 (2.5235)	Prec@1 43.359 (38.699)	Prec@5 71.484 (68.669)
Epoch: [81][6990/7045]	Time 0.446 (0.250)	Data 0.387 (0.183)	Loss 2.3857 (2.5234)	Prec@1 42.188 (38.700)	Prec@5 74.609 (68.672)
Epoch: [81][7000/7045]	Time 0.366 (0.250)	Data 0.315 (0.183)	Loss 2.5406 (2.5234)	Prec@1 39.844 (38.700)	Prec@5 67.188 (68.671)
Epoch: [81][7010/7045]	Time 0.109 (0.250)	Data 0.004 (0.183)	Loss 2.3825 (2.5234)	Prec@1 41.797 (38.699)	Prec@5 68.750 (68.671)
Epoch: [81][7020/7045]	Time 0.102 (0.250)	Data 0.003 (0.183)	Loss 2.4427 (2.5234)	Prec@1 41.406 (38.700)	Prec@5 73.047 (68.671)
Epoch: [81][7030/7045]	Time 0.118 (0.250)	Data 0.066 (0.183)	Loss 2.4198 (2.5234)	Prec@1 37.891 (38.702)	Prec@5 73.047 (68.672)
Epoch: [81][7040/7045]	Time 0.442 (0.250)	Data 0.382 (0.183)	Loss 2.3785 (2.5234)	Prec@1 44.922 (38.702)	Prec@5 72.266 (68.671)
Test: [0/143]	Time 1.145 (1.145)	Loss 2.2769 (2.2769)	Prec@1 44.922 (44.922)	Prec@5 73.828 (73.828)
Test: [10/143]	Time 0.110 (0.242)	Loss 1.7456 (2.0325)	Prec@1 58.984 (48.970)	Prec@5 81.641 (78.658)
Test: [20/143]	Time 0.562 (0.222)	Loss 2.1024 (2.0072)	Prec@1 44.531 (48.196)	Prec@5 80.078 (79.446)
Test: [30/143]	Time 0.048 (0.198)	Loss 2.1736 (2.0209)	Prec@1 50.391 (48.488)	Prec@5 70.703 (78.516)
Test: [40/143]	Time 0.054 (0.197)	Loss 2.8132 (2.0590)	Prec@1 25.000 (47.532)	Prec@5 63.281 (77.525)
Test: [50/143]	Time 0.316 (0.194)	Loss 1.9453 (2.1082)	Prec@1 43.359 (46.071)	Prec@5 82.422 (76.984)
Test: [60/143]	Time 0.048 (0.192)	Loss 2.3133 (2.0894)	Prec@1 38.281 (46.510)	Prec@5 73.438 (77.299)
Test: [70/143]	Time 0.049 (0.190)	Loss 2.8485 (2.0797)	Prec@1 29.297 (46.748)	Prec@5 64.062 (77.542)
Test: [80/143]	Time 0.147 (0.186)	Loss 2.0221 (2.0726)	Prec@1 46.094 (46.779)	Prec@5 82.812 (77.845)
Test: [90/143]	Time 0.190 (0.187)	Loss 1.6987 (2.0669)	Prec@1 55.078 (46.832)	Prec@5 86.328 (77.932)
Test: [100/143]	Time 0.231 (0.185)	Loss 1.7907 (2.0658)	Prec@1 60.547 (46.856)	Prec@5 83.203 (77.970)
Test: [110/143]	Time 0.105 (0.183)	Loss 1.9250 (2.0624)	Prec@1 50.391 (47.111)	Prec@5 78.125 (78.034)
Test: [120/143]	Time 0.220 (0.184)	Loss 1.7887 (2.0553)	Prec@1 58.203 (47.359)	Prec@5 83.984 (78.167)
Test: [130/143]	Time 0.061 (0.181)	Loss 1.5758 (2.0648)	Prec@1 66.406 (47.254)	Prec@5 81.250 (77.928)
Test: [140/143]	Time 0.208 (0.181)	Loss 3.0704 (2.0887)	Prec@1 24.609 (46.709)	Prec@5 61.719 (77.493)
 * Prec@1 46.753 Prec@5 77.515
Epoch: [82][0/7045]	Time 2.341 (2.341)	Data 2.284 (2.284)	Loss 2.5046 (2.5046)	Prec@1 41.016 (41.016)	Prec@5 66.797 (66.797)
Epoch: [82][10/7045]	Time 0.100 (0.402)	Data 0.001 (0.317)	Loss 2.4045 (2.5316)	Prec@1 41.016 (38.814)	Prec@5 71.875 (68.253)
Epoch: [82][20/7045]	Time 0.514 (0.342)	Data 0.462 (0.261)	Loss 2.5629 (2.5211)	Prec@1 36.719 (38.635)	Prec@5 67.578 (68.694)
Epoch: [82][30/7045]	Time 0.102 (0.304)	Data 0.001 (0.224)	Loss 2.6793 (2.5077)	Prec@1 32.812 (38.495)	Prec@5 65.625 (68.977)
Epoch: [82][40/7045]	Time 0.114 (0.297)	Data 0.055 (0.220)	Loss 2.5465 (2.5123)	Prec@1 37.500 (38.558)	Prec@5 66.797 (68.969)
Epoch: [82][50/7045]	Time 0.812 (0.295)	Data 0.760 (0.221)	Loss 2.1700 (2.5027)	Prec@1 41.016 (38.756)	Prec@5 75.781 (69.233)
Epoch: [82][60/7045]	Time 0.102 (0.280)	Data 0.007 (0.206)	Loss 2.6000 (2.4995)	Prec@1 36.328 (38.819)	Prec@5 67.578 (69.326)
Epoch: [82][70/7045]	Time 0.398 (0.278)	Data 0.346 (0.204)	Loss 2.5414 (2.5117)	Prec@1 39.844 (38.771)	Prec@5 66.016 (69.097)
Epoch: [82][80/7045]	Time 0.102 (0.272)	Data 0.001 (0.199)	Loss 2.6865 (2.5142)	Prec@1 37.109 (38.701)	Prec@5 64.453 (68.957)
Epoch: [82][90/7045]	Time 0.363 (0.273)	Data 0.310 (0.201)	Loss 2.3294 (2.5192)	Prec@1 43.359 (38.719)	Prec@5 73.047 (68.900)
Epoch: [82][100/7045]	Time 0.324 (0.268)	Data 0.273 (0.196)	Loss 2.6671 (2.5217)	Prec@1 37.109 (38.734)	Prec@5 66.406 (68.793)
Epoch: [82][110/7045]	Time 0.248 (0.266)	Data 0.196 (0.196)	Loss 2.5602 (2.5166)	Prec@1 39.062 (38.848)	Prec@5 66.797 (68.877)
Epoch: [82][120/7045]	Time 0.524 (0.267)	Data 0.472 (0.196)	Loss 2.4541 (2.5149)	Prec@1 40.625 (38.895)	Prec@5 68.359 (68.924)
Epoch: [82][130/7045]	Time 0.117 (0.264)	Data 0.058 (0.192)	Loss 2.5426 (2.5121)	Prec@1 41.797 (39.033)	Prec@5 68.359 (68.935)
Epoch: [82][140/7045]	Time 0.357 (0.264)	Data 0.299 (0.193)	Loss 2.7715 (2.5194)	Prec@1 34.766 (38.860)	Prec@5 65.234 (68.825)
Epoch: [82][150/7045]	Time 0.102 (0.262)	Data 0.001 (0.190)	Loss 2.6214 (2.5237)	Prec@1 37.891 (38.861)	Prec@5 67.188 (68.732)
Epoch: [82][160/7045]	Time 0.113 (0.261)	Data 0.062 (0.189)	Loss 2.5949 (2.5238)	Prec@1 40.234 (38.866)	Prec@5 67.969 (68.740)
Epoch: [82][170/7045]	Time 0.456 (0.262)	Data 0.400 (0.190)	Loss 2.4006 (2.5219)	Prec@1 41.406 (38.832)	Prec@5 69.531 (68.798)
Epoch: [82][180/7045]	Time 0.101 (0.260)	Data 0.001 (0.187)	Loss 2.5479 (2.5195)	Prec@1 37.500 (38.847)	Prec@5 67.188 (68.817)
Epoch: [82][190/7045]	Time 0.101 (0.261)	Data 0.001 (0.189)	Loss 2.5740 (2.5191)	Prec@1 35.547 (38.866)	Prec@5 67.188 (68.852)
Epoch: [82][200/7045]	Time 0.105 (0.258)	Data 0.052 (0.185)	Loss 2.6357 (2.5197)	Prec@1 37.891 (38.851)	Prec@5 69.141 (68.843)
Epoch: [82][210/7045]	Time 0.101 (0.259)	Data 0.001 (0.186)	Loss 2.2411 (2.5198)	Prec@1 42.188 (38.833)	Prec@5 75.781 (68.830)
Epoch: [82][220/7045]	Time 0.509 (0.260)	Data 0.458 (0.186)	Loss 2.3321 (2.5188)	Prec@1 42.969 (38.880)	Prec@5 72.656 (68.838)
Epoch: [82][230/7045]	Time 0.102 (0.257)	Data 0.050 (0.184)	Loss 2.4903 (2.5179)	Prec@1 38.672 (38.907)	Prec@5 69.141 (68.862)
Epoch: [82][240/7045]	Time 0.101 (0.258)	Data 0.006 (0.184)	Loss 2.4393 (2.5160)	Prec@1 37.500 (38.900)	Prec@5 69.531 (68.909)
Epoch: [82][250/7045]	Time 0.259 (0.257)	Data 0.206 (0.184)	Loss 2.7133 (2.5182)	Prec@1 38.672 (38.899)	Prec@5 64.453 (68.859)
Epoch: [82][260/7045]	Time 0.102 (0.256)	Data 0.006 (0.183)	Loss 2.3990 (2.5178)	Prec@1 41.797 (38.898)	Prec@5 69.922 (68.876)
Epoch: [82][270/7045]	Time 0.526 (0.257)	Data 0.475 (0.184)	Loss 2.6537 (2.5180)	Prec@1 37.891 (38.895)	Prec@5 64.844 (68.868)
Epoch: [82][280/7045]	Time 0.341 (0.256)	Data 0.289 (0.183)	Loss 2.4665 (2.5191)	Prec@1 39.453 (38.847)	Prec@5 69.922 (68.845)
Epoch: [82][290/7045]	Time 0.272 (0.256)	Data 0.215 (0.182)	Loss 2.5552 (2.5174)	Prec@1 33.594 (38.881)	Prec@5 69.141 (68.896)
Epoch: [82][300/7045]	Time 0.449 (0.255)	Data 0.397 (0.183)	Loss 2.3495 (2.5172)	Prec@1 44.531 (38.894)	Prec@5 73.047 (68.899)
Epoch: [82][310/7045]	Time 0.161 (0.255)	Data 0.109 (0.183)	Loss 2.7852 (2.5154)	Prec@1 33.203 (38.938)	Prec@5 62.109 (68.878)
Epoch: [82][320/7045]	Time 0.103 (0.255)	Data 0.009 (0.183)	Loss 2.6135 (2.5162)	Prec@1 33.984 (38.912)	Prec@5 65.234 (68.881)
Epoch: [82][330/7045]	Time 0.224 (0.254)	Data 0.174 (0.183)	Loss 2.5412 (2.5158)	Prec@1 36.328 (38.891)	Prec@5 68.359 (68.870)
Epoch: [82][340/7045]	Time 0.371 (0.254)	Data 0.318 (0.183)	Loss 2.7034 (2.5169)	Prec@1 34.766 (38.861)	Prec@5 61.719 (68.865)
Epoch: [82][350/7045]	Time 0.102 (0.253)	Data 0.007 (0.183)	Loss 2.5648 (2.5174)	Prec@1 35.156 (38.840)	Prec@5 68.359 (68.859)
Epoch: [82][360/7045]	Time 0.196 (0.253)	Data 0.145 (0.183)	Loss 2.4213 (2.5160)	Prec@1 42.969 (38.848)	Prec@5 70.703 (68.873)
Epoch: [82][370/7045]	Time 0.568 (0.254)	Data 0.515 (0.184)	Loss 2.2767 (2.5152)	Prec@1 45.312 (38.875)	Prec@5 70.312 (68.894)
Epoch: [82][380/7045]	Time 0.342 (0.253)	Data 0.290 (0.183)	Loss 2.5979 (2.5141)	Prec@1 35.156 (38.882)	Prec@5 63.281 (68.894)
Epoch: [82][390/7045]	Time 0.268 (0.253)	Data 0.215 (0.183)	Loss 2.6552 (2.5131)	Prec@1 36.328 (38.909)	Prec@5 64.062 (68.916)
Epoch: [82][400/7045]	Time 0.144 (0.253)	Data 0.092 (0.182)	Loss 2.3732 (2.5125)	Prec@1 42.188 (38.917)	Prec@5 72.656 (68.913)
Epoch: [82][410/7045]	Time 0.101 (0.252)	Data 0.005 (0.182)	Loss 2.4789 (2.5110)	Prec@1 38.672 (38.950)	Prec@5 71.094 (68.945)
Epoch: [82][420/7045]	Time 0.451 (0.253)	Data 0.400 (0.183)	Loss 2.4863 (2.5114)	Prec@1 39.453 (38.942)	Prec@5 66.406 (68.950)
Epoch: [82][430/7045]	Time 0.180 (0.252)	Data 0.127 (0.182)	Loss 2.4208 (2.5101)	Prec@1 40.625 (38.975)	Prec@5 67.578 (68.944)
Epoch: [82][440/7045]	Time 0.180 (0.252)	Data 0.129 (0.182)	Loss 2.7102 (2.5098)	Prec@1 35.156 (38.964)	Prec@5 66.016 (68.955)
Epoch: [82][450/7045]	Time 0.190 (0.252)	Data 0.138 (0.182)	Loss 2.5351 (2.5099)	Prec@1 39.453 (38.966)	Prec@5 69.922 (68.969)
Epoch: [82][460/7045]	Time 0.251 (0.252)	Data 0.199 (0.182)	Loss 2.6564 (2.5119)	Prec@1 35.156 (38.925)	Prec@5 68.750 (68.947)
Epoch: [82][470/7045]	Time 0.332 (0.252)	Data 0.281 (0.183)	Loss 2.3468 (2.5139)	Prec@1 44.922 (38.896)	Prec@5 71.484 (68.906)
Epoch: [82][480/7045]	Time 0.541 (0.253)	Data 0.489 (0.183)	Loss 2.4071 (2.5138)	Prec@1 37.109 (38.902)	Prec@5 72.656 (68.916)
Epoch: [82][490/7045]	Time 0.116 (0.252)	Data 0.065 (0.182)	Loss 2.5314 (2.5129)	Prec@1 41.797 (38.911)	Prec@5 68.750 (68.943)
Epoch: [82][500/7045]	Time 0.126 (0.252)	Data 0.073 (0.183)	Loss 2.5939 (2.5135)	Prec@1 37.500 (38.885)	Prec@5 65.234 (68.921)
Epoch: [82][510/7045]	Time 0.266 (0.251)	Data 0.214 (0.183)	Loss 2.4450 (2.5129)	Prec@1 42.188 (38.906)	Prec@5 68.750 (68.924)
Epoch: [82][520/7045]	Time 0.223 (0.251)	Data 0.171 (0.183)	Loss 2.4319 (2.5133)	Prec@1 38.672 (38.884)	Prec@5 70.703 (68.910)
Epoch: [82][530/7045]	Time 0.371 (0.252)	Data 0.319 (0.183)	Loss 2.5300 (2.5127)	Prec@1 38.672 (38.891)	Prec@5 69.531 (68.935)
Epoch: [82][540/7045]	Time 0.116 (0.251)	Data 0.064 (0.183)	Loss 2.6314 (2.5139)	Prec@1 39.062 (38.870)	Prec@5 67.188 (68.918)
Epoch: [82][550/7045]	Time 0.102 (0.251)	Data 0.048 (0.183)	Loss 2.4017 (2.5138)	Prec@1 39.453 (38.875)	Prec@5 71.875 (68.898)
Epoch: [82][560/7045]	Time 0.261 (0.251)	Data 0.209 (0.183)	Loss 2.6599 (2.5136)	Prec@1 35.547 (38.879)	Prec@5 67.188 (68.910)
Epoch: [82][570/7045]	Time 0.101 (0.251)	Data 0.050 (0.183)	Loss 2.4059 (2.5129)	Prec@1 39.062 (38.869)	Prec@5 70.703 (68.927)
Epoch: [82][580/7045]	Time 0.266 (0.251)	Data 0.205 (0.183)	Loss 2.6826 (2.5142)	Prec@1 40.625 (38.855)	Prec@5 64.844 (68.884)
Epoch: [82][590/7045]	Time 0.102 (0.251)	Data 0.001 (0.183)	Loss 2.5400 (2.5142)	Prec@1 39.062 (38.850)	Prec@5 67.188 (68.897)
Epoch: [82][600/7045]	Time 0.160 (0.251)	Data 0.109 (0.183)	Loss 2.5871 (2.5140)	Prec@1 38.672 (38.844)	Prec@5 65.234 (68.898)
Epoch: [82][610/7045]	Time 0.375 (0.251)	Data 0.323 (0.183)	Loss 2.3806 (2.5128)	Prec@1 40.234 (38.857)	Prec@5 74.219 (68.926)
Epoch: [82][620/7045]	Time 0.109 (0.251)	Data 0.001 (0.183)	Loss 2.4324 (2.5139)	Prec@1 38.672 (38.830)	Prec@5 69.922 (68.887)
Epoch: [82][630/7045]	Time 0.413 (0.251)	Data 0.361 (0.183)	Loss 2.5497 (2.5138)	Prec@1 44.141 (38.838)	Prec@5 69.141 (68.886)
Epoch: [82][640/7045]	Time 0.389 (0.251)	Data 0.332 (0.183)	Loss 2.3800 (2.5133)	Prec@1 43.359 (38.839)	Prec@5 72.656 (68.895)
Epoch: [82][650/7045]	Time 0.156 (0.250)	Data 0.105 (0.183)	Loss 2.7007 (2.5136)	Prec@1 32.031 (38.835)	Prec@5 64.453 (68.889)
Epoch: [82][660/7045]	Time 0.610 (0.251)	Data 0.559 (0.183)	Loss 2.4532 (2.5127)	Prec@1 41.016 (38.853)	Prec@5 68.750 (68.901)
Epoch: [82][670/7045]	Time 0.123 (0.250)	Data 0.064 (0.183)	Loss 2.5370 (2.5133)	Prec@1 38.672 (38.866)	Prec@5 68.359 (68.894)
Epoch: [82][680/7045]	Time 0.449 (0.250)	Data 0.391 (0.183)	Loss 2.5341 (2.5146)	Prec@1 37.109 (38.833)	Prec@5 68.359 (68.861)
Epoch: [82][690/7045]	Time 0.101 (0.250)	Data 0.002 (0.183)	Loss 2.5899 (2.5153)	Prec@1 37.500 (38.829)	Prec@5 65.234 (68.849)
Epoch: [82][700/7045]	Time 0.103 (0.250)	Data 0.001 (0.183)	Loss 2.6233 (2.5156)	Prec@1 39.062 (38.828)	Prec@5 68.750 (68.851)
Epoch: [82][710/7045]	Time 0.160 (0.250)	Data 0.108 (0.183)	Loss 2.5685 (2.5162)	Prec@1 34.766 (38.788)	Prec@5 67.188 (68.851)
Epoch: [82][720/7045]	Time 0.387 (0.250)	Data 0.336 (0.183)	Loss 2.3943 (2.5150)	Prec@1 40.625 (38.833)	Prec@5 73.047 (68.875)
Epoch: [82][730/7045]	Time 0.109 (0.250)	Data 0.056 (0.183)	Loss 2.6173 (2.5150)	Prec@1 35.156 (38.823)	Prec@5 67.188 (68.886)
Epoch: [82][740/7045]	Time 0.144 (0.250)	Data 0.092 (0.183)	Loss 2.7706 (2.5152)	Prec@1 36.328 (38.818)	Prec@5 62.109 (68.878)
Epoch: [82][750/7045]	Time 0.112 (0.250)	Data 0.004 (0.183)	Loss 2.5519 (2.5147)	Prec@1 39.062 (38.826)	Prec@5 70.312 (68.885)
Epoch: [82][760/7045]	Time 0.228 (0.250)	Data 0.176 (0.183)	Loss 2.4754 (2.5141)	Prec@1 39.062 (38.844)	Prec@5 68.750 (68.896)
Epoch: [82][770/7045]	Time 0.271 (0.250)	Data 0.219 (0.183)	Loss 2.5470 (2.5139)	Prec@1 40.234 (38.862)	Prec@5 66.797 (68.898)
Epoch: [82][780/7045]	Time 0.102 (0.250)	Data 0.001 (0.183)	Loss 2.4647 (2.5134)	Prec@1 37.891 (38.877)	Prec@5 67.969 (68.903)
Epoch: [82][790/7045]	Time 0.102 (0.250)	Data 0.001 (0.183)	Loss 2.5279 (2.5136)	Prec@1 39.062 (38.879)	Prec@5 68.359 (68.893)
Epoch: [82][800/7045]	Time 0.102 (0.250)	Data 0.003 (0.183)	Loss 2.4516 (2.5132)	Prec@1 45.312 (38.895)	Prec@5 70.703 (68.902)
Epoch: [82][810/7045]	Time 0.295 (0.250)	Data 0.243 (0.183)	Loss 2.3563 (2.5137)	Prec@1 40.234 (38.890)	Prec@5 71.875 (68.899)
Epoch: [82][820/7045]	Time 0.250 (0.250)	Data 0.200 (0.183)	Loss 2.4875 (2.5148)	Prec@1 38.672 (38.877)	Prec@5 67.969 (68.884)
Epoch: [82][830/7045]	Time 0.211 (0.250)	Data 0.158 (0.183)	Loss 2.5482 (2.5151)	Prec@1 40.625 (38.883)	Prec@5 69.531 (68.880)
Epoch: [82][840/7045]	Time 0.544 (0.250)	Data 0.492 (0.183)	Loss 2.3745 (2.5143)	Prec@1 42.188 (38.886)	Prec@5 69.922 (68.899)
Epoch: [82][850/7045]	Time 0.627 (0.250)	Data 0.574 (0.184)	Loss 2.3741 (2.5138)	Prec@1 42.969 (38.900)	Prec@5 69.141 (68.910)
Epoch: [82][860/7045]	Time 0.137 (0.250)	Data 0.086 (0.183)	Loss 2.6196 (2.5135)	Prec@1 34.766 (38.909)	Prec@5 64.844 (68.901)
Epoch: [82][870/7045]	Time 0.441 (0.250)	Data 0.389 (0.183)	Loss 2.5121 (2.5135)	Prec@1 36.719 (38.894)	Prec@5 69.141 (68.899)
Epoch: [82][880/7045]	Time 0.102 (0.250)	Data 0.045 (0.183)	Loss 2.5605 (2.5142)	Prec@1 40.625 (38.896)	Prec@5 69.141 (68.890)
Epoch: [82][890/7045]	Time 0.182 (0.250)	Data 0.123 (0.183)	Loss 2.4398 (2.5144)	Prec@1 39.844 (38.903)	Prec@5 69.922 (68.882)
Epoch: [82][900/7045]	Time 0.102 (0.250)	Data 0.001 (0.183)	Loss 2.6933 (2.5146)	Prec@1 37.109 (38.900)	Prec@5 61.719 (68.871)
Epoch: [82][910/7045]	Time 0.160 (0.250)	Data 0.108 (0.183)	Loss 2.4399 (2.5142)	Prec@1 41.016 (38.911)	Prec@5 71.094 (68.874)
Epoch: [82][920/7045]	Time 0.460 (0.250)	Data 0.401 (0.183)	Loss 2.5983 (2.5138)	Prec@1 37.891 (38.914)	Prec@5 66.016 (68.876)
Epoch: [82][930/7045]	Time 0.112 (0.250)	Data 0.001 (0.183)	Loss 2.3193 (2.5139)	Prec@1 45.312 (38.904)	Prec@5 69.922 (68.866)
Epoch: [82][940/7045]	Time 0.364 (0.250)	Data 0.312 (0.183)	Loss 2.3889 (2.5136)	Prec@1 41.797 (38.917)	Prec@5 71.094 (68.877)
Epoch: [82][950/7045]	Time 0.448 (0.250)	Data 0.396 (0.183)	Loss 2.5303 (2.5132)	Prec@1 37.500 (38.925)	Prec@5 70.312 (68.882)
Epoch: [82][960/7045]	Time 0.100 (0.250)	Data 0.006 (0.183)	Loss 2.5953 (2.5133)	Prec@1 39.062 (38.924)	Prec@5 65.625 (68.876)
Epoch: [82][970/7045]	Time 0.110 (0.250)	Data 0.001 (0.183)	Loss 2.4993 (2.5137)	Prec@1 40.234 (38.917)	Prec@5 69.141 (68.865)
Epoch: [82][980/7045]	Time 0.102 (0.250)	Data 0.001 (0.183)	Loss 2.5861 (2.5137)	Prec@1 37.109 (38.921)	Prec@5 68.750 (68.871)
Epoch: [82][990/7045]	Time 0.102 (0.250)	Data 0.006 (0.183)	Loss 2.5474 (2.5130)	Prec@1 39.062 (38.939)	Prec@5 68.359 (68.873)
Epoch: [82][1000/7045]	Time 0.762 (0.250)	Data 0.710 (0.183)	Loss 2.4889 (2.5134)	Prec@1 41.406 (38.933)	Prec@5 70.312 (68.867)
Epoch: [82][1010/7045]	Time 0.103 (0.250)	Data 0.051 (0.183)	Loss 2.5693 (2.5135)	Prec@1 38.281 (38.926)	Prec@5 67.578 (68.862)
Epoch: [82][1020/7045]	Time 0.481 (0.250)	Data 0.422 (0.183)	Loss 2.5949 (2.5138)	Prec@1 39.062 (38.927)	Prec@5 62.891 (68.854)
Epoch: [82][1030/7045]	Time 0.350 (0.250)	Data 0.298 (0.183)	Loss 2.3769 (2.5143)	Prec@1 42.578 (38.906)	Prec@5 70.312 (68.847)
Epoch: [82][1040/7045]	Time 0.204 (0.250)	Data 0.152 (0.183)	Loss 2.6073 (2.5144)	Prec@1 36.328 (38.897)	Prec@5 65.625 (68.840)
Epoch: [82][1050/7045]	Time 0.228 (0.250)	Data 0.176 (0.183)	Loss 2.6367 (2.5150)	Prec@1 36.719 (38.891)	Prec@5 67.578 (68.821)
Epoch: [82][1060/7045]	Time 0.103 (0.250)	Data 0.002 (0.183)	Loss 2.4883 (2.5149)	Prec@1 39.844 (38.888)	Prec@5 70.312 (68.825)
Epoch: [82][1070/7045]	Time 0.108 (0.250)	Data 0.007 (0.183)	Loss 2.4781 (2.5146)	Prec@1 39.844 (38.881)	Prec@5 71.484 (68.835)
Epoch: [82][1080/7045]	Time 0.240 (0.250)	Data 0.188 (0.182)	Loss 2.4609 (2.5147)	Prec@1 42.188 (38.889)	Prec@5 69.531 (68.839)
Epoch: [82][1090/7045]	Time 0.108 (0.250)	Data 0.005 (0.182)	Loss 2.5683 (2.5151)	Prec@1 42.188 (38.890)	Prec@5 67.969 (68.830)
Epoch: [82][1100/7045]	Time 0.749 (0.250)	Data 0.697 (0.183)	Loss 2.8345 (2.5148)	Prec@1 37.500 (38.906)	Prec@5 59.766 (68.833)
Epoch: [82][1110/7045]	Time 0.446 (0.250)	Data 0.395 (0.183)	Loss 2.5560 (2.5155)	Prec@1 40.234 (38.902)	Prec@5 64.062 (68.807)
Epoch: [82][1120/7045]	Time 0.168 (0.250)	Data 0.117 (0.182)	Loss 2.5508 (2.5156)	Prec@1 37.891 (38.898)	Prec@5 67.969 (68.803)
Epoch: [82][1130/7045]	Time 0.403 (0.250)	Data 0.351 (0.182)	Loss 2.3911 (2.5156)	Prec@1 41.016 (38.896)	Prec@5 71.094 (68.796)
Epoch: [82][1140/7045]	Time 0.102 (0.250)	Data 0.001 (0.182)	Loss 2.3880 (2.5157)	Prec@1 40.625 (38.899)	Prec@5 73.438 (68.799)
Epoch: [82][1150/7045]	Time 0.252 (0.250)	Data 0.192 (0.182)	Loss 2.5656 (2.5160)	Prec@1 37.109 (38.896)	Prec@5 67.188 (68.793)
Epoch: [82][1160/7045]	Time 0.102 (0.250)	Data 0.016 (0.182)	Loss 2.4059 (2.5162)	Prec@1 41.016 (38.895)	Prec@5 73.828 (68.791)
Epoch: [82][1170/7045]	Time 0.116 (0.250)	Data 0.064 (0.182)	Loss 2.4975 (2.5166)	Prec@1 36.719 (38.880)	Prec@5 69.531 (68.780)
Epoch: [82][1180/7045]	Time 0.217 (0.250)	Data 0.166 (0.182)	Loss 2.4567 (2.5167)	Prec@1 39.453 (38.871)	Prec@5 69.531 (68.783)
Epoch: [82][1190/7045]	Time 0.129 (0.250)	Data 0.077 (0.183)	Loss 2.4559 (2.5164)	Prec@1 39.844 (38.868)	Prec@5 71.484 (68.782)
Epoch: [82][1200/7045]	Time 0.477 (0.250)	Data 0.425 (0.183)	Loss 2.4915 (2.5166)	Prec@1 41.016 (38.871)	Prec@5 67.188 (68.781)
Epoch: [82][1210/7045]	Time 0.163 (0.250)	Data 0.111 (0.183)	Loss 2.6326 (2.5164)	Prec@1 34.375 (38.871)	Prec@5 70.703 (68.781)
Epoch: [82][1220/7045]	Time 0.176 (0.250)	Data 0.125 (0.183)	Loss 2.6170 (2.5166)	Prec@1 37.891 (38.870)	Prec@5 69.922 (68.778)
Epoch: [82][1230/7045]	Time 0.531 (0.250)	Data 0.479 (0.183)	Loss 2.6557 (2.5166)	Prec@1 36.328 (38.866)	Prec@5 66.016 (68.776)
Epoch: [82][1240/7045]	Time 0.172 (0.250)	Data 0.120 (0.183)	Loss 2.5747 (2.5169)	Prec@1 36.719 (38.857)	Prec@5 67.578 (68.771)
Epoch: [82][1250/7045]	Time 0.477 (0.250)	Data 0.425 (0.183)	Loss 2.4895 (2.5165)	Prec@1 40.234 (38.862)	Prec@5 67.969 (68.779)
Epoch: [82][1260/7045]	Time 0.280 (0.250)	Data 0.229 (0.183)	Loss 2.5988 (2.5168)	Prec@1 37.109 (38.848)	Prec@5 67.188 (68.771)
Epoch: [82][1270/7045]	Time 0.472 (0.250)	Data 0.419 (0.183)	Loss 2.4318 (2.5168)	Prec@1 38.672 (38.850)	Prec@5 69.531 (68.771)
Epoch: [82][1280/7045]	Time 0.103 (0.250)	Data 0.001 (0.183)	Loss 2.4277 (2.5165)	Prec@1 40.625 (38.850)	Prec@5 69.531 (68.770)
Epoch: [82][1290/7045]	Time 0.102 (0.250)	Data 0.001 (0.183)	Loss 2.4883 (2.5167)	Prec@1 41.406 (38.865)	Prec@5 67.578 (68.767)
Epoch: [82][1300/7045]	Time 0.202 (0.250)	Data 0.151 (0.183)	Loss 2.5619 (2.5161)	Prec@1 34.766 (38.869)	Prec@5 66.016 (68.782)
Epoch: [82][1310/7045]	Time 0.198 (0.250)	Data 0.146 (0.183)	Loss 2.5028 (2.5162)	Prec@1 39.453 (38.865)	Prec@5 68.750 (68.784)
Epoch: [82][1320/7045]	Time 0.470 (0.250)	Data 0.418 (0.183)	Loss 2.3332 (2.5161)	Prec@1 42.188 (38.871)	Prec@5 66.406 (68.781)
Epoch: [82][1330/7045]	Time 0.160 (0.250)	Data 0.100 (0.183)	Loss 2.6140 (2.5162)	Prec@1 35.547 (38.871)	Prec@5 67.188 (68.779)
Epoch: [82][1340/7045]	Time 0.354 (0.250)	Data 0.302 (0.183)	Loss 2.6980 (2.5162)	Prec@1 36.719 (38.873)	Prec@5 67.188 (68.782)
Epoch: [82][1350/7045]	Time 0.332 (0.250)	Data 0.273 (0.183)	Loss 2.5769 (2.5157)	Prec@1 36.328 (38.873)	Prec@5 67.969 (68.789)
Epoch: [82][1360/7045]	Time 0.102 (0.250)	Data 0.019 (0.183)	Loss 2.4492 (2.5156)	Prec@1 42.969 (38.879)	Prec@5 71.094 (68.789)
Epoch: [82][1370/7045]	Time 0.119 (0.250)	Data 0.066 (0.183)	Loss 2.6331 (2.5154)	Prec@1 36.328 (38.884)	Prec@5 64.062 (68.791)
Epoch: [82][1380/7045]	Time 0.600 (0.250)	Data 0.548 (0.184)	Loss 2.4714 (2.5154)	Prec@1 41.406 (38.891)	Prec@5 68.750 (68.789)
Epoch: [82][1390/7045]	Time 0.244 (0.250)	Data 0.192 (0.183)	Loss 2.4863 (2.5151)	Prec@1 37.109 (38.900)	Prec@5 69.141 (68.795)
Epoch: [82][1400/7045]	Time 0.102 (0.250)	Data 0.014 (0.183)	Loss 2.5178 (2.5149)	Prec@1 33.594 (38.903)	Prec@5 68.750 (68.808)
Epoch: [82][1410/7045]	Time 0.102 (0.250)	Data 0.001 (0.183)	Loss 2.5768 (2.5150)	Prec@1 41.406 (38.910)	Prec@5 67.188 (68.801)
Epoch: [82][1420/7045]	Time 0.155 (0.250)	Data 0.104 (0.183)	Loss 2.5963 (2.5151)	Prec@1 39.844 (38.915)	Prec@5 67.578 (68.794)
Epoch: [82][1430/7045]	Time 0.586 (0.250)	Data 0.534 (0.183)	Loss 2.6675 (2.5146)	Prec@1 35.938 (38.920)	Prec@5 65.625 (68.805)
Epoch: [82][1440/7045]	Time 0.101 (0.250)	Data 0.001 (0.183)	Loss 2.5431 (2.5148)	Prec@1 40.625 (38.916)	Prec@5 67.969 (68.801)
Epoch: [82][1450/7045]	Time 0.109 (0.250)	Data 0.011 (0.183)	Loss 2.6457 (2.5148)	Prec@1 36.328 (38.914)	Prec@5 65.234 (68.802)
Epoch: [82][1460/7045]	Time 0.105 (0.250)	Data 0.052 (0.183)	Loss 2.5600 (2.5149)	Prec@1 38.281 (38.917)	Prec@5 67.578 (68.795)
Epoch: [82][1470/7045]	Time 0.111 (0.250)	Data 0.006 (0.183)	Loss 2.6806 (2.5145)	Prec@1 37.109 (38.921)	Prec@5 66.406 (68.803)
Epoch: [82][1480/7045]	Time 0.581 (0.250)	Data 0.530 (0.183)	Loss 2.4195 (2.5149)	Prec@1 45.312 (38.917)	Prec@5 69.531 (68.799)
Epoch: [82][1490/7045]	Time 0.102 (0.250)	Data 0.001 (0.183)	Loss 2.3656 (2.5149)	Prec@1 39.844 (38.925)	Prec@5 73.828 (68.798)
Epoch: [82][1500/7045]	Time 0.245 (0.250)	Data 0.193 (0.183)	Loss 2.4700 (2.5152)	Prec@1 41.797 (38.918)	Prec@5 69.141 (68.797)
Epoch: [82][1510/7045]	Time 0.603 (0.250)	Data 0.551 (0.183)	Loss 2.3089 (2.5152)	Prec@1 40.234 (38.913)	Prec@5 73.047 (68.798)
Epoch: [82][1520/7045]	Time 0.102 (0.250)	Data 0.001 (0.183)	Loss 2.4659 (2.5153)	Prec@1 39.453 (38.908)	Prec@5 71.484 (68.799)
Epoch: [82][1530/7045]	Time 0.598 (0.250)	Data 0.539 (0.183)	Loss 2.5849 (2.5151)	Prec@1 36.719 (38.905)	Prec@5 67.578 (68.798)
Epoch: [82][1540/7045]	Time 0.111 (0.250)	Data 0.059 (0.183)	Loss 2.3165 (2.5148)	Prec@1 43.750 (38.909)	Prec@5 68.750 (68.802)
Epoch: [82][1550/7045]	Time 0.109 (0.250)	Data 0.001 (0.183)	Loss 2.5565 (2.5149)	Prec@1 37.891 (38.912)	Prec@5 67.578 (68.800)
Epoch: [82][1560/7045]	Time 0.178 (0.250)	Data 0.126 (0.183)	Loss 2.7168 (2.5149)	Prec@1 33.594 (38.908)	Prec@5 63.281 (68.798)
Epoch: [82][1570/7045]	Time 0.103 (0.250)	Data 0.001 (0.183)	Loss 2.5693 (2.5149)	Prec@1 42.578 (38.908)	Prec@5 67.578 (68.798)
Epoch: [82][1580/7045]	Time 0.398 (0.250)	Data 0.348 (0.183)	Loss 2.6604 (2.5149)	Prec@1 37.500 (38.907)	Prec@5 69.531 (68.801)
Epoch: [82][1590/7045]	Time 0.502 (0.250)	Data 0.449 (0.183)	Loss 2.4632 (2.5147)	Prec@1 39.062 (38.905)	Prec@5 68.359 (68.802)
Epoch: [82][1600/7045]	Time 0.102 (0.250)	Data 0.001 (0.183)	Loss 2.6213 (2.5150)	Prec@1 36.328 (38.892)	Prec@5 61.719 (68.795)
Epoch: [82][1610/7045]	Time 0.102 (0.250)	Data 0.015 (0.183)	Loss 2.5416 (2.5149)	Prec@1 35.938 (38.898)	Prec@5 70.312 (68.800)
Epoch: [82][1620/7045]	Time 0.221 (0.250)	Data 0.171 (0.183)	Loss 2.6098 (2.5152)	Prec@1 36.719 (38.885)	Prec@5 71.875 (68.797)
Epoch: [82][1630/7045]	Time 0.302 (0.250)	Data 0.250 (0.183)	Loss 2.6329 (2.5155)	Prec@1 37.109 (38.887)	Prec@5 66.797 (68.789)
Epoch: [82][1640/7045]	Time 0.344 (0.250)	Data 0.293 (0.183)	Loss 2.5973 (2.5155)	Prec@1 39.062 (38.885)	Prec@5 69.531 (68.787)
Epoch: [82][1650/7045]	Time 0.103 (0.250)	Data 0.001 (0.183)	Loss 2.6729 (2.5155)	Prec@1 31.641 (38.877)	Prec@5 69.141 (68.790)
Epoch: [82][1660/7045]	Time 0.565 (0.250)	Data 0.513 (0.183)	Loss 2.5327 (2.5159)	Prec@1 41.016 (38.876)	Prec@5 67.969 (68.779)
Epoch: [82][1670/7045]	Time 0.364 (0.250)	Data 0.312 (0.183)	Loss 2.4310 (2.5156)	Prec@1 42.188 (38.882)	Prec@5 70.703 (68.782)
Epoch: [82][1680/7045]	Time 0.288 (0.250)	Data 0.237 (0.183)	Loss 2.6074 (2.5159)	Prec@1 39.453 (38.874)	Prec@5 67.188 (68.773)
Epoch: [82][1690/7045]	Time 0.102 (0.250)	Data 0.050 (0.183)	Loss 2.5502 (2.5159)	Prec@1 40.625 (38.870)	Prec@5 67.578 (68.770)
Epoch: [82][1700/7045]	Time 0.112 (0.250)	Data 0.059 (0.183)	Loss 2.6573 (2.5166)	Prec@1 35.938 (38.853)	Prec@5 66.406 (68.756)
Epoch: [82][1710/7045]	Time 0.757 (0.250)	Data 0.707 (0.183)	Loss 2.5815 (2.5169)	Prec@1 37.500 (38.844)	Prec@5 67.969 (68.750)
Epoch: [82][1720/7045]	Time 0.429 (0.250)	Data 0.368 (0.183)	Loss 2.4961 (2.5166)	Prec@1 37.500 (38.848)	Prec@5 67.188 (68.758)
Epoch: [82][1730/7045]	Time 0.102 (0.250)	Data 0.001 (0.183)	Loss 2.4168 (2.5166)	Prec@1 39.453 (38.851)	Prec@5 72.656 (68.760)
Epoch: [82][1740/7045]	Time 0.462 (0.250)	Data 0.410 (0.183)	Loss 2.7271 (2.5165)	Prec@1 37.500 (38.850)	Prec@5 63.672 (68.763)
Epoch: [82][1750/7045]	Time 0.176 (0.250)	Data 0.125 (0.183)	Loss 2.5701 (2.5167)	Prec@1 37.500 (38.847)	Prec@5 66.016 (68.756)
Epoch: [82][1760/7045]	Time 0.101 (0.250)	Data 0.001 (0.183)	Loss 2.5497 (2.5168)	Prec@1 41.016 (38.847)	Prec@5 69.141 (68.755)
Epoch: [82][1770/7045]	Time 0.107 (0.250)	Data 0.001 (0.183)	Loss 2.6502 (2.5169)	Prec@1 31.641 (38.846)	Prec@5 67.578 (68.753)
Epoch: [82][1780/7045]	Time 0.102 (0.250)	Data 0.001 (0.183)	Loss 2.5197 (2.5169)	Prec@1 39.062 (38.841)	Prec@5 66.406 (68.752)
Epoch: [82][1790/7045]	Time 0.108 (0.250)	Data 0.003 (0.183)	Loss 2.5190 (2.5171)	Prec@1 39.844 (38.839)	Prec@5 67.969 (68.750)
Epoch: [82][1800/7045]	Time 0.250 (0.250)	Data 0.197 (0.183)	Loss 2.7458 (2.5174)	Prec@1 37.500 (38.835)	Prec@5 65.234 (68.748)
Epoch: [82][1810/7045]	Time 0.102 (0.250)	Data 0.043 (0.183)	Loss 2.6021 (2.5175)	Prec@1 35.938 (38.834)	Prec@5 65.625 (68.745)
Epoch: [82][1820/7045]	Time 0.114 (0.250)	Data 0.061 (0.183)	Loss 2.5223 (2.5174)	Prec@1 40.234 (38.840)	Prec@5 68.359 (68.745)
Epoch: [82][1830/7045]	Time 0.102 (0.250)	Data 0.001 (0.183)	Loss 2.7584 (2.5178)	Prec@1 32.031 (38.833)	Prec@5 59.766 (68.735)
Epoch: [82][1840/7045]	Time 0.249 (0.250)	Data 0.197 (0.183)	Loss 2.5341 (2.5181)	Prec@1 39.062 (38.822)	Prec@5 64.844 (68.736)
Epoch: [82][1850/7045]	Time 0.392 (0.250)	Data 0.333 (0.183)	Loss 2.5668 (2.5182)	Prec@1 37.500 (38.819)	Prec@5 69.922 (68.731)
Epoch: [82][1860/7045]	Time 0.101 (0.250)	Data 0.003 (0.183)	Loss 2.5764 (2.5181)	Prec@1 39.844 (38.822)	Prec@5 66.406 (68.732)
Epoch: [82][1870/7045]	Time 0.212 (0.250)	Data 0.161 (0.183)	Loss 2.5382 (2.5181)	Prec@1 36.328 (38.815)	Prec@5 67.969 (68.730)
Epoch: [82][1880/7045]	Time 0.344 (0.250)	Data 0.292 (0.183)	Loss 2.5053 (2.5181)	Prec@1 39.844 (38.810)	Prec@5 69.141 (68.736)
Epoch: [82][1890/7045]	Time 0.151 (0.250)	Data 0.099 (0.183)	Loss 2.5187 (2.5181)	Prec@1 37.891 (38.804)	Prec@5 70.703 (68.740)
Epoch: [82][1900/7045]	Time 0.215 (0.250)	Data 0.164 (0.183)	Loss 2.5846 (2.5184)	Prec@1 39.062 (38.803)	Prec@5 67.188 (68.738)
Epoch: [82][1910/7045]	Time 0.499 (0.250)	Data 0.448 (0.183)	Loss 2.5919 (2.5184)	Prec@1 37.109 (38.808)	Prec@5 65.234 (68.738)
Epoch: [82][1920/7045]	Time 0.263 (0.250)	Data 0.212 (0.183)	Loss 2.4200 (2.5182)	Prec@1 38.281 (38.811)	Prec@5 72.656 (68.740)
Epoch: [82][1930/7045]	Time 0.100 (0.250)	Data 0.001 (0.183)	Loss 2.6067 (2.5184)	Prec@1 41.406 (38.812)	Prec@5 67.188 (68.733)
Epoch: [82][1940/7045]	Time 0.107 (0.250)	Data 0.055 (0.183)	Loss 2.2628 (2.5183)	Prec@1 38.281 (38.813)	Prec@5 73.828 (68.733)
Epoch: [82][1950/7045]	Time 0.112 (0.250)	Data 0.060 (0.183)	Loss 2.5920 (2.5186)	Prec@1 33.984 (38.809)	Prec@5 64.453 (68.726)
Epoch: [82][1960/7045]	Time 0.600 (0.250)	Data 0.548 (0.183)	Loss 2.3251 (2.5184)	Prec@1 39.844 (38.811)	Prec@5 73.828 (68.727)
Epoch: [82][1970/7045]	Time 0.341 (0.250)	Data 0.289 (0.183)	Loss 2.7506 (2.5186)	Prec@1 37.109 (38.802)	Prec@5 64.844 (68.728)
Epoch: [82][1980/7045]	Time 0.193 (0.250)	Data 0.142 (0.183)	Loss 2.4663 (2.5188)	Prec@1 39.062 (38.794)	Prec@5 72.266 (68.722)
Epoch: [82][1990/7045]	Time 0.103 (0.250)	Data 0.001 (0.183)	Loss 2.4307 (2.5190)	Prec@1 42.188 (38.784)	Prec@5 73.828 (68.721)
Epoch: [82][2000/7045]	Time 0.224 (0.250)	Data 0.172 (0.183)	Loss 2.6969 (2.5192)	Prec@1 36.719 (38.777)	Prec@5 63.672 (68.719)
Epoch: [82][2010/7045]	Time 0.377 (0.250)	Data 0.318 (0.183)	Loss 2.4622 (2.5193)	Prec@1 40.625 (38.776)	Prec@5 69.922 (68.717)
Epoch: [82][2020/7045]	Time 0.361 (0.250)	Data 0.309 (0.183)	Loss 2.3692 (2.5193)	Prec@1 39.453 (38.774)	Prec@5 73.828 (68.721)
Epoch: [82][2030/7045]	Time 0.310 (0.250)	Data 0.259 (0.183)	Loss 2.4984 (2.5193)	Prec@1 40.625 (38.774)	Prec@5 65.625 (68.724)
Epoch: [82][2040/7045]	Time 0.102 (0.250)	Data 0.001 (0.183)	Loss 2.4675 (2.5191)	Prec@1 42.578 (38.781)	Prec@5 70.312 (68.730)
Epoch: [82][2050/7045]	Time 0.541 (0.250)	Data 0.490 (0.183)	Loss 2.5766 (2.5190)	Prec@1 36.719 (38.777)	Prec@5 68.359 (68.730)
Epoch: [82][2060/7045]	Time 0.146 (0.250)	Data 0.093 (0.183)	Loss 2.5237 (2.5189)	Prec@1 39.453 (38.775)	Prec@5 69.531 (68.730)
Epoch: [82][2070/7045]	Time 0.310 (0.250)	Data 0.259 (0.183)	Loss 2.4148 (2.5190)	Prec@1 40.625 (38.776)	Prec@5 70.312 (68.727)
Epoch: [82][2080/7045]	Time 0.461 (0.250)	Data 0.409 (0.183)	Loss 2.3933 (2.5191)	Prec@1 43.750 (38.774)	Prec@5 69.531 (68.728)
Epoch: [82][2090/7045]	Time 0.111 (0.250)	Data 0.059 (0.183)	Loss 2.5603 (2.5193)	Prec@1 40.234 (38.774)	Prec@5 68.750 (68.721)
Epoch: [82][2100/7045]	Time 0.815 (0.250)	Data 0.763 (0.183)	Loss 2.3160 (2.5188)	Prec@1 42.969 (38.782)	Prec@5 72.266 (68.731)
Epoch: [82][2110/7045]	Time 0.102 (0.250)	Data 0.001 (0.183)	Loss 2.5480 (2.5189)	Prec@1 37.109 (38.776)	Prec@5 67.188 (68.731)
Epoch: [82][2120/7045]	Time 0.319 (0.250)	Data 0.261 (0.183)	Loss 2.7218 (2.5195)	Prec@1 34.375 (38.766)	Prec@5 66.016 (68.721)
Epoch: [82][2130/7045]	Time 0.103 (0.250)	Data 0.001 (0.183)	Loss 2.5564 (2.5194)	Prec@1 36.719 (38.765)	Prec@5 69.922 (68.720)
Epoch: [82][2140/7045]	Time 0.132 (0.250)	Data 0.074 (0.183)	Loss 2.5173 (2.5194)	Prec@1 37.891 (38.765)	Prec@5 69.922 (68.718)
Epoch: [82][2150/7045]	Time 0.117 (0.249)	Data 0.065 (0.183)	Loss 2.5219 (2.5193)	Prec@1 41.016 (38.766)	Prec@5 69.141 (68.720)
Epoch: [82][2160/7045]	Time 0.101 (0.250)	Data 0.007 (0.183)	Loss 2.3824 (2.5191)	Prec@1 40.234 (38.769)	Prec@5 68.359 (68.724)
Epoch: [82][2170/7045]	Time 0.206 (0.250)	Data 0.154 (0.183)	Loss 2.5871 (2.5188)	Prec@1 36.719 (38.778)	Prec@5 67.188 (68.729)
Epoch: [82][2180/7045]	Time 0.103 (0.249)	Data 0.001 (0.183)	Loss 2.4455 (2.5187)	Prec@1 41.406 (38.784)	Prec@5 72.656 (68.733)
Epoch: [82][2190/7045]	Time 0.250 (0.250)	Data 0.198 (0.183)	Loss 2.3501 (2.5185)	Prec@1 43.750 (38.790)	Prec@5 73.828 (68.738)
Epoch: [82][2200/7045]	Time 0.112 (0.249)	Data 0.059 (0.182)	Loss 2.6527 (2.5187)	Prec@1 37.891 (38.785)	Prec@5 66.797 (68.736)
Epoch: [82][2210/7045]	Time 0.108 (0.249)	Data 0.006 (0.183)	Loss 2.3410 (2.5186)	Prec@1 38.281 (38.787)	Prec@5 72.266 (68.746)
Epoch: [82][2220/7045]	Time 0.514 (0.249)	Data 0.463 (0.183)	Loss 2.5930 (2.5188)	Prec@1 39.453 (38.785)	Prec@5 68.750 (68.740)
Epoch: [82][2230/7045]	Time 0.101 (0.249)	Data 0.001 (0.183)	Loss 2.6945 (2.5186)	Prec@1 36.719 (38.786)	Prec@5 67.188 (68.741)
Epoch: [82][2240/7045]	Time 0.551 (0.249)	Data 0.500 (0.183)	Loss 2.4883 (2.5186)	Prec@1 37.500 (38.783)	Prec@5 71.875 (68.744)
Epoch: [82][2250/7045]	Time 0.103 (0.249)	Data 0.044 (0.182)	Loss 2.4362 (2.5185)	Prec@1 37.109 (38.783)	Prec@5 69.141 (68.744)
Epoch: [82][2260/7045]	Time 0.102 (0.249)	Data 0.010 (0.182)	Loss 2.5553 (2.5185)	Prec@1 35.938 (38.782)	Prec@5 68.359 (68.739)
Epoch: [82][2270/7045]	Time 0.205 (0.249)	Data 0.154 (0.182)	Loss 2.6169 (2.5190)	Prec@1 40.625 (38.777)	Prec@5 67.578 (68.731)
Epoch: [82][2280/7045]	Time 0.102 (0.249)	Data 0.012 (0.182)	Loss 2.6015 (2.5194)	Prec@1 35.938 (38.767)	Prec@5 68.750 (68.724)
Epoch: [82][2290/7045]	Time 0.211 (0.249)	Data 0.159 (0.182)	Loss 2.4581 (2.5195)	Prec@1 37.500 (38.765)	Prec@5 70.312 (68.725)
Epoch: [82][2300/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.6550 (2.5196)	Prec@1 37.891 (38.768)	Prec@5 66.797 (68.720)
Epoch: [82][2310/7045]	Time 0.165 (0.249)	Data 0.113 (0.182)	Loss 2.6275 (2.5192)	Prec@1 36.328 (38.777)	Prec@5 64.453 (68.728)
Epoch: [82][2320/7045]	Time 0.285 (0.249)	Data 0.233 (0.182)	Loss 2.5369 (2.5195)	Prec@1 40.234 (38.772)	Prec@5 67.188 (68.727)
Epoch: [82][2330/7045]	Time 0.117 (0.249)	Data 0.059 (0.182)	Loss 2.4658 (2.5193)	Prec@1 39.453 (38.778)	Prec@5 67.188 (68.727)
Epoch: [82][2340/7045]	Time 0.499 (0.249)	Data 0.447 (0.182)	Loss 2.5439 (2.5192)	Prec@1 39.062 (38.782)	Prec@5 68.750 (68.729)
Epoch: [82][2350/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.7490 (2.5195)	Prec@1 36.328 (38.775)	Prec@5 67.969 (68.722)
Epoch: [82][2360/7045]	Time 0.619 (0.249)	Data 0.567 (0.182)	Loss 2.6803 (2.5194)	Prec@1 42.578 (38.780)	Prec@5 63.281 (68.724)
Epoch: [82][2370/7045]	Time 0.102 (0.249)	Data 0.019 (0.182)	Loss 2.5334 (2.5192)	Prec@1 40.625 (38.789)	Prec@5 69.141 (68.727)
Epoch: [82][2380/7045]	Time 0.263 (0.249)	Data 0.204 (0.182)	Loss 2.3685 (2.5191)	Prec@1 45.312 (38.787)	Prec@5 72.266 (68.731)
Epoch: [82][2390/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.3920 (2.5190)	Prec@1 43.750 (38.788)	Prec@5 69.141 (68.733)
Epoch: [82][2400/7045]	Time 0.102 (0.249)	Data 0.007 (0.182)	Loss 2.5402 (2.5189)	Prec@1 37.500 (38.792)	Prec@5 67.578 (68.734)
Epoch: [82][2410/7045]	Time 0.270 (0.249)	Data 0.218 (0.182)	Loss 2.3722 (2.5189)	Prec@1 44.141 (38.791)	Prec@5 74.609 (68.737)
Epoch: [82][2420/7045]	Time 0.102 (0.249)	Data 0.023 (0.182)	Loss 2.6024 (2.5187)	Prec@1 39.062 (38.799)	Prec@5 66.797 (68.743)
Epoch: [82][2430/7045]	Time 0.614 (0.249)	Data 0.562 (0.182)	Loss 2.4793 (2.5186)	Prec@1 41.016 (38.801)	Prec@5 67.578 (68.745)
Epoch: [82][2440/7045]	Time 0.143 (0.249)	Data 0.092 (0.182)	Loss 2.4313 (2.5184)	Prec@1 44.531 (38.804)	Prec@5 66.797 (68.744)
Epoch: [82][2450/7045]	Time 0.119 (0.249)	Data 0.067 (0.182)	Loss 2.5117 (2.5186)	Prec@1 37.891 (38.801)	Prec@5 71.484 (68.745)
Epoch: [82][2460/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.5658 (2.5187)	Prec@1 37.109 (38.800)	Prec@5 68.750 (68.739)
Epoch: [82][2470/7045]	Time 0.257 (0.249)	Data 0.198 (0.182)	Loss 2.5555 (2.5189)	Prec@1 40.234 (38.794)	Prec@5 65.625 (68.737)
Epoch: [82][2480/7045]	Time 0.147 (0.249)	Data 0.094 (0.182)	Loss 2.6237 (2.5190)	Prec@1 37.109 (38.796)	Prec@5 65.625 (68.739)
Epoch: [82][2490/7045]	Time 0.119 (0.249)	Data 0.060 (0.182)	Loss 2.6362 (2.5193)	Prec@1 38.281 (38.791)	Prec@5 66.016 (68.734)
Epoch: [82][2500/7045]	Time 0.306 (0.249)	Data 0.254 (0.182)	Loss 2.6909 (2.5195)	Prec@1 30.859 (38.785)	Prec@5 64.062 (68.729)
Epoch: [82][2510/7045]	Time 0.101 (0.249)	Data 0.001 (0.182)	Loss 2.6287 (2.5196)	Prec@1 39.453 (38.785)	Prec@5 67.188 (68.727)
Epoch: [82][2520/7045]	Time 0.101 (0.249)	Data 0.045 (0.182)	Loss 2.4904 (2.5194)	Prec@1 39.062 (38.791)	Prec@5 66.797 (68.729)
Epoch: [82][2530/7045]	Time 0.102 (0.249)	Data 0.006 (0.182)	Loss 2.4472 (2.5195)	Prec@1 37.109 (38.786)	Prec@5 69.141 (68.727)
Epoch: [82][2540/7045]	Time 0.473 (0.249)	Data 0.422 (0.182)	Loss 2.6080 (2.5193)	Prec@1 37.891 (38.788)	Prec@5 66.406 (68.729)
Epoch: [82][2550/7045]	Time 0.103 (0.249)	Data 0.001 (0.182)	Loss 2.4273 (2.5192)	Prec@1 44.141 (38.790)	Prec@5 69.141 (68.734)
Epoch: [82][2560/7045]	Time 0.496 (0.249)	Data 0.444 (0.182)	Loss 2.5956 (2.5193)	Prec@1 37.109 (38.792)	Prec@5 67.578 (68.730)
Epoch: [82][2570/7045]	Time 0.155 (0.249)	Data 0.103 (0.182)	Loss 2.5549 (2.5192)	Prec@1 37.500 (38.794)	Prec@5 69.922 (68.728)
Epoch: [82][2580/7045]	Time 0.411 (0.249)	Data 0.361 (0.182)	Loss 2.3615 (2.5192)	Prec@1 44.922 (38.788)	Prec@5 72.266 (68.728)
Epoch: [82][2590/7045]	Time 0.331 (0.249)	Data 0.279 (0.182)	Loss 2.5277 (2.5192)	Prec@1 41.016 (38.788)	Prec@5 66.406 (68.726)
Epoch: [82][2600/7045]	Time 0.110 (0.249)	Data 0.001 (0.182)	Loss 2.5263 (2.5193)	Prec@1 40.625 (38.788)	Prec@5 67.578 (68.725)
Epoch: [82][2610/7045]	Time 0.102 (0.249)	Data 0.005 (0.182)	Loss 2.5862 (2.5192)	Prec@1 37.109 (38.788)	Prec@5 65.625 (68.726)
Epoch: [82][2620/7045]	Time 0.202 (0.249)	Data 0.151 (0.182)	Loss 2.4806 (2.5192)	Prec@1 41.797 (38.793)	Prec@5 69.531 (68.729)
Epoch: [82][2630/7045]	Time 0.479 (0.249)	Data 0.426 (0.182)	Loss 2.7855 (2.5195)	Prec@1 32.422 (38.784)	Prec@5 62.109 (68.721)
Epoch: [82][2640/7045]	Time 0.262 (0.249)	Data 0.210 (0.182)	Loss 2.4756 (2.5194)	Prec@1 39.844 (38.791)	Prec@5 68.359 (68.722)
Epoch: [82][2650/7045]	Time 0.110 (0.249)	Data 0.001 (0.182)	Loss 2.5088 (2.5192)	Prec@1 39.062 (38.797)	Prec@5 68.750 (68.726)
Epoch: [82][2660/7045]	Time 0.102 (0.249)	Data 0.006 (0.182)	Loss 2.5137 (2.5190)	Prec@1 37.109 (38.797)	Prec@5 69.531 (68.730)
Epoch: [82][2670/7045]	Time 0.245 (0.249)	Data 0.194 (0.182)	Loss 2.4600 (2.5187)	Prec@1 37.891 (38.800)	Prec@5 70.703 (68.736)
Epoch: [82][2680/7045]	Time 0.910 (0.249)	Data 0.850 (0.182)	Loss 2.3917 (2.5187)	Prec@1 42.578 (38.801)	Prec@5 70.703 (68.740)
Epoch: [82][2690/7045]	Time 0.247 (0.249)	Data 0.194 (0.182)	Loss 2.6759 (2.5187)	Prec@1 35.547 (38.803)	Prec@5 64.453 (68.741)
Epoch: [82][2700/7045]	Time 0.326 (0.249)	Data 0.274 (0.182)	Loss 2.6407 (2.5187)	Prec@1 38.672 (38.805)	Prec@5 65.234 (68.741)
Epoch: [82][2710/7045]	Time 0.354 (0.249)	Data 0.302 (0.182)	Loss 2.5084 (2.5184)	Prec@1 36.328 (38.811)	Prec@5 69.141 (68.744)
Epoch: [82][2720/7045]	Time 0.343 (0.249)	Data 0.286 (0.182)	Loss 2.6385 (2.5185)	Prec@1 37.109 (38.809)	Prec@5 66.797 (68.741)
Epoch: [82][2730/7045]	Time 0.314 (0.249)	Data 0.262 (0.182)	Loss 2.3661 (2.5184)	Prec@1 42.578 (38.812)	Prec@5 70.703 (68.743)
Epoch: [82][2740/7045]	Time 0.137 (0.249)	Data 0.085 (0.182)	Loss 2.3428 (2.5184)	Prec@1 42.969 (38.812)	Prec@5 72.266 (68.748)
Epoch: [82][2750/7045]	Time 0.267 (0.249)	Data 0.208 (0.182)	Loss 2.6144 (2.5184)	Prec@1 36.719 (38.807)	Prec@5 65.234 (68.749)
Epoch: [82][2760/7045]	Time 0.103 (0.249)	Data 0.051 (0.182)	Loss 2.2977 (2.5185)	Prec@1 39.062 (38.804)	Prec@5 74.219 (68.747)
Epoch: [82][2770/7045]	Time 0.588 (0.249)	Data 0.536 (0.182)	Loss 2.6423 (2.5185)	Prec@1 33.203 (38.803)	Prec@5 68.359 (68.748)
Epoch: [82][2780/7045]	Time 0.110 (0.249)	Data 0.001 (0.182)	Loss 2.4585 (2.5184)	Prec@1 37.500 (38.802)	Prec@5 67.969 (68.749)
Epoch: [82][2790/7045]	Time 0.541 (0.249)	Data 0.489 (0.182)	Loss 2.6974 (2.5184)	Prec@1 38.281 (38.806)	Prec@5 64.844 (68.749)
Epoch: [82][2800/7045]	Time 0.102 (0.249)	Data 0.045 (0.182)	Loss 2.3600 (2.5183)	Prec@1 42.188 (38.805)	Prec@5 73.438 (68.755)
Epoch: [82][2810/7045]	Time 0.102 (0.249)	Data 0.028 (0.182)	Loss 2.6405 (2.5184)	Prec@1 37.109 (38.805)	Prec@5 66.406 (68.755)
Epoch: [82][2820/7045]	Time 0.102 (0.249)	Data 0.009 (0.182)	Loss 2.5005 (2.5184)	Prec@1 38.281 (38.804)	Prec@5 69.141 (68.755)
Epoch: [82][2830/7045]	Time 0.194 (0.249)	Data 0.142 (0.182)	Loss 2.7312 (2.5185)	Prec@1 37.500 (38.804)	Prec@5 63.672 (68.753)
Epoch: [82][2840/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.7160 (2.5185)	Prec@1 36.719 (38.805)	Prec@5 65.625 (68.753)
Epoch: [82][2850/7045]	Time 0.137 (0.249)	Data 0.086 (0.182)	Loss 2.4608 (2.5183)	Prec@1 41.797 (38.808)	Prec@5 68.359 (68.756)
Epoch: [82][2860/7045]	Time 0.299 (0.249)	Data 0.241 (0.182)	Loss 2.3622 (2.5184)	Prec@1 39.844 (38.809)	Prec@5 72.656 (68.757)
Epoch: [82][2870/7045]	Time 0.312 (0.249)	Data 0.260 (0.182)	Loss 2.8768 (2.5186)	Prec@1 31.250 (38.803)	Prec@5 61.328 (68.753)
Epoch: [82][2880/7045]	Time 0.103 (0.249)	Data 0.002 (0.182)	Loss 2.8144 (2.5185)	Prec@1 37.500 (38.807)	Prec@5 61.719 (68.757)
Epoch: [82][2890/7045]	Time 0.865 (0.249)	Data 0.814 (0.182)	Loss 2.6156 (2.5185)	Prec@1 37.109 (38.808)	Prec@5 66.797 (68.760)
Epoch: [82][2900/7045]	Time 0.112 (0.249)	Data 0.060 (0.182)	Loss 2.5460 (2.5183)	Prec@1 37.109 (38.816)	Prec@5 68.750 (68.764)
Epoch: [82][2910/7045]	Time 0.541 (0.249)	Data 0.489 (0.182)	Loss 2.3990 (2.5183)	Prec@1 38.672 (38.815)	Prec@5 70.703 (68.765)
Epoch: [82][2920/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.4698 (2.5182)	Prec@1 37.891 (38.813)	Prec@5 70.312 (68.765)
Epoch: [82][2930/7045]	Time 0.258 (0.249)	Data 0.206 (0.182)	Loss 2.6327 (2.5181)	Prec@1 38.672 (38.817)	Prec@5 68.359 (68.769)
Epoch: [82][2940/7045]	Time 0.385 (0.249)	Data 0.333 (0.182)	Loss 2.5825 (2.5180)	Prec@1 35.156 (38.817)	Prec@5 69.531 (68.772)
Epoch: [82][2950/7045]	Time 0.107 (0.249)	Data 0.054 (0.182)	Loss 2.3635 (2.5179)	Prec@1 40.625 (38.814)	Prec@5 71.094 (68.771)
Epoch: [82][2960/7045]	Time 0.597 (0.249)	Data 0.538 (0.182)	Loss 2.4874 (2.5181)	Prec@1 39.453 (38.811)	Prec@5 69.922 (68.766)
Epoch: [82][2970/7045]	Time 0.294 (0.249)	Data 0.235 (0.182)	Loss 2.2893 (2.5182)	Prec@1 42.188 (38.812)	Prec@5 73.438 (68.763)
Epoch: [82][2980/7045]	Time 0.109 (0.249)	Data 0.001 (0.182)	Loss 2.5324 (2.5184)	Prec@1 36.719 (38.806)	Prec@5 69.531 (68.759)
Epoch: [82][2990/7045]	Time 0.103 (0.249)	Data 0.001 (0.182)	Loss 2.6935 (2.5183)	Prec@1 33.203 (38.806)	Prec@5 67.578 (68.760)
Epoch: [82][3000/7045]	Time 0.135 (0.249)	Data 0.084 (0.182)	Loss 2.3624 (2.5184)	Prec@1 43.750 (38.806)	Prec@5 69.531 (68.758)
Epoch: [82][3010/7045]	Time 0.170 (0.249)	Data 0.119 (0.182)	Loss 2.5041 (2.5184)	Prec@1 37.109 (38.805)	Prec@5 69.141 (68.758)
Epoch: [82][3020/7045]	Time 0.103 (0.249)	Data 0.001 (0.182)	Loss 2.6256 (2.5186)	Prec@1 40.234 (38.802)	Prec@5 69.531 (68.756)
Epoch: [82][3030/7045]	Time 0.103 (0.249)	Data 0.001 (0.182)	Loss 2.3102 (2.5186)	Prec@1 42.188 (38.799)	Prec@5 68.359 (68.751)
Epoch: [82][3040/7045]	Time 0.603 (0.249)	Data 0.551 (0.182)	Loss 2.5698 (2.5189)	Prec@1 35.156 (38.796)	Prec@5 69.141 (68.749)
Epoch: [82][3050/7045]	Time 0.168 (0.249)	Data 0.116 (0.182)	Loss 2.3860 (2.5189)	Prec@1 39.062 (38.798)	Prec@5 69.141 (68.751)
Epoch: [82][3060/7045]	Time 0.644 (0.249)	Data 0.591 (0.182)	Loss 2.4894 (2.5189)	Prec@1 38.672 (38.796)	Prec@5 68.750 (68.753)
Epoch: [82][3070/7045]	Time 0.106 (0.249)	Data 0.054 (0.182)	Loss 2.5448 (2.5190)	Prec@1 37.109 (38.791)	Prec@5 66.797 (68.751)
Epoch: [82][3080/7045]	Time 0.498 (0.249)	Data 0.446 (0.182)	Loss 2.3787 (2.5192)	Prec@1 41.797 (38.784)	Prec@5 72.266 (68.749)
Epoch: [82][3090/7045]	Time 0.274 (0.249)	Data 0.221 (0.182)	Loss 2.4214 (2.5191)	Prec@1 39.453 (38.786)	Prec@5 71.484 (68.754)
Epoch: [82][3100/7045]	Time 0.101 (0.249)	Data 0.001 (0.182)	Loss 2.5336 (2.5189)	Prec@1 38.672 (38.791)	Prec@5 68.359 (68.757)
Epoch: [82][3110/7045]	Time 0.102 (0.249)	Data 0.007 (0.182)	Loss 2.6117 (2.5189)	Prec@1 36.719 (38.795)	Prec@5 63.672 (68.756)
Epoch: [82][3120/7045]	Time 0.109 (0.249)	Data 0.057 (0.182)	Loss 2.5879 (2.5189)	Prec@1 37.891 (38.795)	Prec@5 67.969 (68.755)
Epoch: [82][3130/7045]	Time 0.150 (0.249)	Data 0.097 (0.182)	Loss 2.7217 (2.5188)	Prec@1 31.641 (38.795)	Prec@5 64.844 (68.756)
Epoch: [82][3140/7045]	Time 0.586 (0.249)	Data 0.534 (0.182)	Loss 2.6680 (2.5189)	Prec@1 35.156 (38.794)	Prec@5 68.359 (68.755)
Epoch: [82][3150/7045]	Time 0.102 (0.249)	Data 0.008 (0.182)	Loss 2.3950 (2.5187)	Prec@1 39.844 (38.799)	Prec@5 74.609 (68.760)
Epoch: [82][3160/7045]	Time 0.374 (0.249)	Data 0.322 (0.182)	Loss 2.4913 (2.5187)	Prec@1 38.281 (38.801)	Prec@5 68.750 (68.757)
Epoch: [82][3170/7045]	Time 0.101 (0.249)	Data 0.001 (0.182)	Loss 2.5988 (2.5187)	Prec@1 38.672 (38.805)	Prec@5 64.453 (68.757)
Epoch: [82][3180/7045]	Time 0.109 (0.249)	Data 0.001 (0.182)	Loss 2.6330 (2.5187)	Prec@1 37.500 (38.803)	Prec@5 68.359 (68.758)
Epoch: [82][3190/7045]	Time 0.151 (0.249)	Data 0.099 (0.182)	Loss 2.5495 (2.5185)	Prec@1 34.375 (38.806)	Prec@5 65.625 (68.762)
Epoch: [82][3200/7045]	Time 0.322 (0.249)	Data 0.269 (0.182)	Loss 2.4253 (2.5184)	Prec@1 38.672 (38.805)	Prec@5 69.531 (68.761)
Epoch: [82][3210/7045]	Time 0.551 (0.249)	Data 0.499 (0.182)	Loss 2.7113 (2.5186)	Prec@1 30.859 (38.799)	Prec@5 66.406 (68.761)
Epoch: [82][3220/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.4749 (2.5185)	Prec@1 37.109 (38.800)	Prec@5 72.266 (68.762)
Epoch: [82][3230/7045]	Time 0.343 (0.249)	Data 0.290 (0.182)	Loss 2.5150 (2.5185)	Prec@1 37.109 (38.803)	Prec@5 71.484 (68.762)
Epoch: [82][3240/7045]	Time 0.154 (0.249)	Data 0.101 (0.182)	Loss 2.3761 (2.5182)	Prec@1 37.500 (38.806)	Prec@5 71.094 (68.769)
Epoch: [82][3250/7045]	Time 0.188 (0.249)	Data 0.137 (0.182)	Loss 2.4786 (2.5182)	Prec@1 38.672 (38.806)	Prec@5 70.312 (68.767)
Epoch: [82][3260/7045]	Time 0.424 (0.249)	Data 0.373 (0.182)	Loss 2.4770 (2.5181)	Prec@1 34.375 (38.810)	Prec@5 70.703 (68.768)
Epoch: [82][3270/7045]	Time 0.109 (0.249)	Data 0.001 (0.182)	Loss 2.5878 (2.5181)	Prec@1 37.109 (38.808)	Prec@5 69.141 (68.766)
Epoch: [82][3280/7045]	Time 0.396 (0.249)	Data 0.343 (0.182)	Loss 2.5614 (2.5179)	Prec@1 40.625 (38.815)	Prec@5 67.969 (68.768)
Epoch: [82][3290/7045]	Time 0.222 (0.249)	Data 0.171 (0.182)	Loss 2.6680 (2.5179)	Prec@1 36.719 (38.816)	Prec@5 66.797 (68.770)
Epoch: [82][3300/7045]	Time 0.393 (0.249)	Data 0.341 (0.182)	Loss 2.4632 (2.5180)	Prec@1 39.453 (38.814)	Prec@5 69.922 (68.768)
Epoch: [82][3310/7045]	Time 0.168 (0.249)	Data 0.116 (0.182)	Loss 2.4399 (2.5179)	Prec@1 41.016 (38.821)	Prec@5 68.750 (68.769)
Epoch: [82][3320/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.6059 (2.5180)	Prec@1 38.281 (38.822)	Prec@5 70.703 (68.770)
Epoch: [82][3330/7045]	Time 0.321 (0.249)	Data 0.269 (0.182)	Loss 2.2559 (2.5178)	Prec@1 46.094 (38.824)	Prec@5 71.875 (68.771)
Epoch: [82][3340/7045]	Time 0.129 (0.249)	Data 0.077 (0.182)	Loss 2.4829 (2.5179)	Prec@1 42.188 (38.825)	Prec@5 66.406 (68.768)
Epoch: [82][3350/7045]	Time 0.407 (0.249)	Data 0.355 (0.182)	Loss 2.5782 (2.5180)	Prec@1 35.938 (38.821)	Prec@5 66.016 (68.771)
Epoch: [82][3360/7045]	Time 0.361 (0.249)	Data 0.309 (0.182)	Loss 2.5612 (2.5181)	Prec@1 36.328 (38.819)	Prec@5 65.234 (68.769)
Epoch: [82][3370/7045]	Time 0.140 (0.249)	Data 0.087 (0.182)	Loss 2.6821 (2.5182)	Prec@1 40.625 (38.820)	Prec@5 66.406 (68.768)
Epoch: [82][3380/7045]	Time 0.101 (0.249)	Data 0.001 (0.182)	Loss 2.4441 (2.5183)	Prec@1 41.406 (38.821)	Prec@5 72.266 (68.764)
Epoch: [82][3390/7045]	Time 0.110 (0.249)	Data 0.001 (0.182)	Loss 2.4948 (2.5182)	Prec@1 41.016 (38.823)	Prec@5 69.531 (68.767)
Epoch: [82][3400/7045]	Time 0.241 (0.249)	Data 0.189 (0.182)	Loss 2.4494 (2.5184)	Prec@1 39.453 (38.819)	Prec@5 70.703 (68.761)
Epoch: [82][3410/7045]	Time 0.105 (0.249)	Data 0.053 (0.182)	Loss 2.5243 (2.5185)	Prec@1 37.891 (38.816)	Prec@5 69.922 (68.761)
Epoch: [82][3420/7045]	Time 0.119 (0.249)	Data 0.068 (0.182)	Loss 2.3725 (2.5187)	Prec@1 38.672 (38.807)	Prec@5 72.656 (68.759)
Epoch: [82][3430/7045]	Time 0.560 (0.249)	Data 0.508 (0.182)	Loss 2.5539 (2.5189)	Prec@1 37.891 (38.805)	Prec@5 66.016 (68.756)
Epoch: [82][3440/7045]	Time 0.109 (0.249)	Data 0.001 (0.182)	Loss 2.6510 (2.5188)	Prec@1 39.453 (38.804)	Prec@5 66.406 (68.758)
Epoch: [82][3450/7045]	Time 0.441 (0.249)	Data 0.389 (0.182)	Loss 2.5378 (2.5189)	Prec@1 39.844 (38.803)	Prec@5 67.969 (68.755)
Epoch: [82][3460/7045]	Time 0.108 (0.249)	Data 0.005 (0.182)	Loss 2.5234 (2.5189)	Prec@1 40.625 (38.803)	Prec@5 71.875 (68.757)
Epoch: [82][3470/7045]	Time 0.108 (0.249)	Data 0.055 (0.182)	Loss 2.5741 (2.5190)	Prec@1 39.844 (38.805)	Prec@5 68.750 (68.756)
Epoch: [82][3480/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.6089 (2.5190)	Prec@1 35.938 (38.805)	Prec@5 70.703 (68.758)
Epoch: [82][3490/7045]	Time 0.277 (0.249)	Data 0.225 (0.182)	Loss 2.4425 (2.5190)	Prec@1 39.844 (38.804)	Prec@5 67.969 (68.755)
Epoch: [82][3500/7045]	Time 0.527 (0.249)	Data 0.476 (0.182)	Loss 2.4355 (2.5190)	Prec@1 37.109 (38.803)	Prec@5 73.828 (68.758)
Epoch: [82][3510/7045]	Time 0.113 (0.249)	Data 0.060 (0.182)	Loss 2.5893 (2.5191)	Prec@1 37.500 (38.803)	Prec@5 71.094 (68.759)
Epoch: [82][3520/7045]	Time 0.107 (0.249)	Data 0.005 (0.182)	Loss 2.4971 (2.5190)	Prec@1 38.281 (38.801)	Prec@5 69.922 (68.762)
Epoch: [82][3530/7045]	Time 0.111 (0.249)	Data 0.058 (0.182)	Loss 2.3760 (2.5189)	Prec@1 41.797 (38.805)	Prec@5 74.219 (68.761)
Epoch: [82][3540/7045]	Time 0.189 (0.249)	Data 0.138 (0.182)	Loss 2.5970 (2.5189)	Prec@1 40.625 (38.807)	Prec@5 68.750 (68.759)
Epoch: [82][3550/7045]	Time 0.213 (0.249)	Data 0.162 (0.182)	Loss 2.4837 (2.5190)	Prec@1 41.016 (38.807)	Prec@5 69.141 (68.758)
Epoch: [82][3560/7045]	Time 0.164 (0.249)	Data 0.112 (0.182)	Loss 2.5825 (2.5190)	Prec@1 36.328 (38.807)	Prec@5 64.453 (68.759)
Epoch: [82][3570/7045]	Time 0.211 (0.249)	Data 0.159 (0.182)	Loss 2.6287 (2.5190)	Prec@1 37.500 (38.805)	Prec@5 66.797 (68.759)
Epoch: [82][3580/7045]	Time 0.352 (0.249)	Data 0.300 (0.182)	Loss 2.6805 (2.5192)	Prec@1 37.500 (38.800)	Prec@5 66.016 (68.755)
Epoch: [82][3590/7045]	Time 0.296 (0.249)	Data 0.245 (0.182)	Loss 2.3471 (2.5192)	Prec@1 39.062 (38.797)	Prec@5 73.047 (68.754)
Epoch: [82][3600/7045]	Time 0.102 (0.249)	Data 0.046 (0.182)	Loss 2.5686 (2.5193)	Prec@1 37.500 (38.799)	Prec@5 66.797 (68.753)
Epoch: [82][3610/7045]	Time 0.238 (0.249)	Data 0.187 (0.182)	Loss 2.3131 (2.5191)	Prec@1 41.797 (38.800)	Prec@5 73.438 (68.756)
Epoch: [82][3620/7045]	Time 0.443 (0.249)	Data 0.384 (0.182)	Loss 2.4916 (2.5192)	Prec@1 44.531 (38.798)	Prec@5 68.750 (68.753)
Epoch: [82][3630/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.5881 (2.5193)	Prec@1 37.500 (38.798)	Prec@5 67.188 (68.752)
Epoch: [82][3640/7045]	Time 0.319 (0.249)	Data 0.268 (0.182)	Loss 2.6480 (2.5194)	Prec@1 33.594 (38.793)	Prec@5 68.359 (68.748)
Epoch: [82][3650/7045]	Time 0.212 (0.249)	Data 0.161 (0.182)	Loss 2.4817 (2.5196)	Prec@1 41.406 (38.789)	Prec@5 68.359 (68.742)
Epoch: [82][3660/7045]	Time 0.108 (0.249)	Data 0.001 (0.182)	Loss 2.5349 (2.5196)	Prec@1 36.328 (38.787)	Prec@5 69.531 (68.746)
Epoch: [82][3670/7045]	Time 0.358 (0.249)	Data 0.305 (0.182)	Loss 2.6347 (2.5198)	Prec@1 35.156 (38.784)	Prec@5 67.578 (68.744)
Epoch: [82][3680/7045]	Time 0.102 (0.249)	Data 0.004 (0.182)	Loss 2.4643 (2.5196)	Prec@1 39.844 (38.788)	Prec@5 72.266 (68.749)
Epoch: [82][3690/7045]	Time 0.612 (0.249)	Data 0.553 (0.182)	Loss 2.5144 (2.5196)	Prec@1 37.109 (38.785)	Prec@5 67.578 (68.749)
Epoch: [82][3700/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.4657 (2.5197)	Prec@1 41.406 (38.786)	Prec@5 73.438 (68.749)
Epoch: [82][3710/7045]	Time 0.614 (0.249)	Data 0.563 (0.182)	Loss 2.4323 (2.5197)	Prec@1 46.094 (38.787)	Prec@5 71.875 (68.750)
Epoch: [82][3720/7045]	Time 0.122 (0.249)	Data 0.070 (0.182)	Loss 2.6862 (2.5198)	Prec@1 37.500 (38.783)	Prec@5 65.625 (68.747)
Epoch: [82][3730/7045]	Time 0.108 (0.249)	Data 0.055 (0.182)	Loss 2.4279 (2.5197)	Prec@1 37.891 (38.784)	Prec@5 68.750 (68.745)
Epoch: [82][3740/7045]	Time 0.395 (0.249)	Data 0.343 (0.182)	Loss 2.4393 (2.5196)	Prec@1 35.547 (38.786)	Prec@5 68.750 (68.743)
Epoch: [82][3750/7045]	Time 0.110 (0.249)	Data 0.001 (0.182)	Loss 2.5248 (2.5195)	Prec@1 39.062 (38.788)	Prec@5 70.312 (68.747)
Epoch: [82][3760/7045]	Time 0.637 (0.249)	Data 0.586 (0.182)	Loss 2.5580 (2.5195)	Prec@1 40.234 (38.790)	Prec@5 67.969 (68.748)
Epoch: [82][3770/7045]	Time 0.149 (0.249)	Data 0.098 (0.182)	Loss 2.4008 (2.5194)	Prec@1 41.406 (38.791)	Prec@5 66.406 (68.746)
Epoch: [82][3780/7045]	Time 0.103 (0.249)	Data 0.005 (0.182)	Loss 2.4869 (2.5196)	Prec@1 41.797 (38.792)	Prec@5 71.094 (68.741)
Epoch: [82][3790/7045]	Time 0.698 (0.249)	Data 0.647 (0.182)	Loss 2.7136 (2.5195)	Prec@1 33.594 (38.791)	Prec@5 65.625 (68.746)
Epoch: [82][3800/7045]	Time 0.156 (0.249)	Data 0.104 (0.182)	Loss 2.6139 (2.5195)	Prec@1 37.500 (38.791)	Prec@5 65.625 (68.745)
Epoch: [82][3810/7045]	Time 0.109 (0.249)	Data 0.021 (0.182)	Loss 2.2576 (2.5195)	Prec@1 42.969 (38.791)	Prec@5 73.828 (68.745)
Epoch: [82][3820/7045]	Time 0.101 (0.249)	Data 0.001 (0.182)	Loss 2.4848 (2.5197)	Prec@1 38.672 (38.785)	Prec@5 70.312 (68.745)
Epoch: [82][3830/7045]	Time 0.113 (0.249)	Data 0.007 (0.182)	Loss 2.6288 (2.5197)	Prec@1 37.109 (38.787)	Prec@5 65.625 (68.748)
Epoch: [82][3840/7045]	Time 0.655 (0.249)	Data 0.598 (0.182)	Loss 2.5457 (2.5196)	Prec@1 37.891 (38.793)	Prec@5 67.969 (68.749)
Epoch: [82][3850/7045]	Time 0.118 (0.249)	Data 0.066 (0.182)	Loss 2.4657 (2.5195)	Prec@1 37.891 (38.791)	Prec@5 72.266 (68.752)
Epoch: [82][3860/7045]	Time 0.621 (0.249)	Data 0.563 (0.182)	Loss 2.4319 (2.5195)	Prec@1 39.062 (38.792)	Prec@5 72.656 (68.752)
Epoch: [82][3870/7045]	Time 0.102 (0.249)	Data 0.002 (0.182)	Loss 2.5136 (2.5193)	Prec@1 36.328 (38.795)	Prec@5 68.750 (68.757)
Epoch: [82][3880/7045]	Time 0.100 (0.249)	Data 0.001 (0.182)	Loss 2.5398 (2.5192)	Prec@1 41.016 (38.798)	Prec@5 70.312 (68.758)
Epoch: [82][3890/7045]	Time 0.512 (0.249)	Data 0.461 (0.182)	Loss 2.5910 (2.5192)	Prec@1 39.062 (38.800)	Prec@5 73.438 (68.759)
Epoch: [82][3900/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.7467 (2.5192)	Prec@1 34.766 (38.800)	Prec@5 66.797 (68.759)
Epoch: [82][3910/7045]	Time 0.508 (0.249)	Data 0.456 (0.182)	Loss 2.5506 (2.5194)	Prec@1 39.062 (38.797)	Prec@5 68.359 (68.753)
Epoch: [82][3920/7045]	Time 0.111 (0.249)	Data 0.059 (0.182)	Loss 2.3163 (2.5192)	Prec@1 39.453 (38.798)	Prec@5 73.828 (68.757)
Epoch: [82][3930/7045]	Time 0.103 (0.249)	Data 0.001 (0.182)	Loss 2.3840 (2.5192)	Prec@1 41.406 (38.798)	Prec@5 71.484 (68.757)
Epoch: [82][3940/7045]	Time 0.100 (0.249)	Data 0.001 (0.182)	Loss 2.6121 (2.5192)	Prec@1 32.031 (38.797)	Prec@5 68.359 (68.758)
Epoch: [82][3950/7045]	Time 0.102 (0.249)	Data 0.005 (0.182)	Loss 2.6155 (2.5192)	Prec@1 35.156 (38.795)	Prec@5 64.453 (68.755)
Epoch: [82][3960/7045]	Time 0.279 (0.249)	Data 0.227 (0.182)	Loss 2.5843 (2.5192)	Prec@1 39.062 (38.794)	Prec@5 69.922 (68.756)
Epoch: [82][3970/7045]	Time 0.306 (0.249)	Data 0.255 (0.182)	Loss 2.4233 (2.5190)	Prec@1 38.281 (38.797)	Prec@5 70.703 (68.759)
Epoch: [82][3980/7045]	Time 0.109 (0.249)	Data 0.056 (0.182)	Loss 2.3417 (2.5188)	Prec@1 41.797 (38.800)	Prec@5 72.266 (68.761)
Epoch: [82][3990/7045]	Time 0.304 (0.249)	Data 0.252 (0.182)	Loss 2.3831 (2.5187)	Prec@1 43.359 (38.801)	Prec@5 69.531 (68.763)
Epoch: [82][4000/7045]	Time 0.448 (0.249)	Data 0.396 (0.182)	Loss 2.5767 (2.5187)	Prec@1 39.453 (38.803)	Prec@5 65.625 (68.762)
Epoch: [82][4010/7045]	Time 0.103 (0.249)	Data 0.007 (0.182)	Loss 2.4778 (2.5185)	Prec@1 40.234 (38.805)	Prec@5 69.922 (68.765)
Epoch: [82][4020/7045]	Time 0.561 (0.249)	Data 0.510 (0.182)	Loss 2.5903 (2.5185)	Prec@1 38.672 (38.807)	Prec@5 67.578 (68.765)
Epoch: [82][4030/7045]	Time 0.435 (0.249)	Data 0.384 (0.182)	Loss 2.3016 (2.5184)	Prec@1 37.891 (38.806)	Prec@5 72.266 (68.768)
Epoch: [82][4040/7045]	Time 0.126 (0.249)	Data 0.075 (0.182)	Loss 2.5860 (2.5183)	Prec@1 36.328 (38.805)	Prec@5 67.578 (68.770)
Epoch: [82][4050/7045]	Time 0.419 (0.249)	Data 0.361 (0.182)	Loss 2.3806 (2.5181)	Prec@1 42.578 (38.807)	Prec@5 73.047 (68.777)
Epoch: [82][4060/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.6828 (2.5180)	Prec@1 32.812 (38.807)	Prec@5 70.312 (68.780)
Epoch: [82][4070/7045]	Time 0.282 (0.249)	Data 0.230 (0.182)	Loss 2.4012 (2.5179)	Prec@1 37.891 (38.809)	Prec@5 70.703 (68.780)
Epoch: [82][4080/7045]	Time 0.103 (0.249)	Data 0.045 (0.182)	Loss 2.6391 (2.5179)	Prec@1 35.156 (38.809)	Prec@5 67.188 (68.780)
Epoch: [82][4090/7045]	Time 0.737 (0.249)	Data 0.684 (0.182)	Loss 2.4937 (2.5180)	Prec@1 41.016 (38.807)	Prec@5 71.484 (68.782)
Epoch: [82][4100/7045]	Time 0.101 (0.249)	Data 0.001 (0.182)	Loss 2.3048 (2.5178)	Prec@1 46.484 (38.814)	Prec@5 69.922 (68.785)
Epoch: [82][4110/7045]	Time 0.110 (0.249)	Data 0.001 (0.182)	Loss 2.4576 (2.5178)	Prec@1 42.188 (38.814)	Prec@5 71.094 (68.785)
Epoch: [82][4120/7045]	Time 0.255 (0.249)	Data 0.204 (0.182)	Loss 2.3174 (2.5178)	Prec@1 41.016 (38.818)	Prec@5 73.438 (68.786)
Epoch: [82][4130/7045]	Time 0.107 (0.249)	Data 0.054 (0.182)	Loss 2.5252 (2.5178)	Prec@1 40.625 (38.813)	Prec@5 69.922 (68.786)
Epoch: [82][4140/7045]	Time 0.479 (0.249)	Data 0.427 (0.182)	Loss 2.4875 (2.5179)	Prec@1 39.844 (38.812)	Prec@5 68.359 (68.781)
Epoch: [82][4150/7045]	Time 0.254 (0.249)	Data 0.203 (0.182)	Loss 2.4040 (2.5179)	Prec@1 39.062 (38.812)	Prec@5 69.531 (68.780)
Epoch: [82][4160/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.3756 (2.5178)	Prec@1 42.578 (38.813)	Prec@5 71.875 (68.781)
Epoch: [82][4170/7045]	Time 0.262 (0.249)	Data 0.210 (0.182)	Loss 2.4668 (2.5178)	Prec@1 38.672 (38.813)	Prec@5 68.750 (68.779)
Epoch: [82][4180/7045]	Time 0.290 (0.249)	Data 0.231 (0.182)	Loss 2.6312 (2.5180)	Prec@1 36.719 (38.809)	Prec@5 69.141 (68.776)
Epoch: [82][4190/7045]	Time 0.406 (0.249)	Data 0.355 (0.182)	Loss 2.7152 (2.5181)	Prec@1 35.547 (38.810)	Prec@5 64.844 (68.773)
Epoch: [82][4200/7045]	Time 0.109 (0.249)	Data 0.058 (0.182)	Loss 2.5978 (2.5183)	Prec@1 35.938 (38.807)	Prec@5 66.016 (68.768)
Epoch: [82][4210/7045]	Time 0.311 (0.249)	Data 0.260 (0.182)	Loss 2.5743 (2.5184)	Prec@1 37.891 (38.806)	Prec@5 69.922 (68.766)
Epoch: [82][4220/7045]	Time 0.402 (0.249)	Data 0.350 (0.182)	Loss 2.5362 (2.5185)	Prec@1 40.625 (38.807)	Prec@5 67.969 (68.766)
Epoch: [82][4230/7045]	Time 0.182 (0.249)	Data 0.130 (0.182)	Loss 2.4999 (2.5185)	Prec@1 39.844 (38.806)	Prec@5 71.484 (68.767)
Epoch: [82][4240/7045]	Time 0.112 (0.249)	Data 0.054 (0.182)	Loss 2.8226 (2.5186)	Prec@1 35.938 (38.804)	Prec@5 61.328 (68.764)
Epoch: [82][4250/7045]	Time 0.102 (0.249)	Data 0.004 (0.182)	Loss 2.4871 (2.5186)	Prec@1 41.797 (38.804)	Prec@5 69.922 (68.765)
Epoch: [82][4260/7045]	Time 0.218 (0.249)	Data 0.167 (0.182)	Loss 2.6687 (2.5187)	Prec@1 34.375 (38.799)	Prec@5 65.625 (68.763)
Epoch: [82][4270/7045]	Time 0.395 (0.249)	Data 0.344 (0.182)	Loss 2.5877 (2.5187)	Prec@1 38.281 (38.799)	Prec@5 66.016 (68.762)
Epoch: [82][4280/7045]	Time 0.183 (0.249)	Data 0.131 (0.182)	Loss 2.5029 (2.5187)	Prec@1 41.797 (38.803)	Prec@5 69.531 (68.763)
Epoch: [82][4290/7045]	Time 0.119 (0.249)	Data 0.067 (0.182)	Loss 2.4864 (2.5186)	Prec@1 39.844 (38.805)	Prec@5 71.484 (68.763)
Epoch: [82][4300/7045]	Time 0.722 (0.249)	Data 0.671 (0.183)	Loss 2.5034 (2.5188)	Prec@1 41.406 (38.803)	Prec@5 69.922 (68.759)
Epoch: [82][4310/7045]	Time 0.353 (0.249)	Data 0.302 (0.182)	Loss 2.3919 (2.5185)	Prec@1 42.578 (38.811)	Prec@5 71.094 (68.763)
Epoch: [82][4320/7045]	Time 0.108 (0.249)	Data 0.001 (0.183)	Loss 2.5255 (2.5185)	Prec@1 37.500 (38.812)	Prec@5 67.578 (68.763)
Epoch: [82][4330/7045]	Time 0.192 (0.249)	Data 0.139 (0.182)	Loss 2.6700 (2.5185)	Prec@1 36.719 (38.813)	Prec@5 65.234 (68.764)
Epoch: [82][4340/7045]	Time 0.236 (0.249)	Data 0.184 (0.182)	Loss 2.5445 (2.5186)	Prec@1 39.453 (38.811)	Prec@5 66.797 (68.761)
Epoch: [82][4350/7045]	Time 0.674 (0.249)	Data 0.621 (0.183)	Loss 2.7484 (2.5186)	Prec@1 32.812 (38.810)	Prec@5 66.797 (68.762)
Epoch: [82][4360/7045]	Time 0.358 (0.249)	Data 0.298 (0.182)	Loss 2.5602 (2.5185)	Prec@1 33.984 (38.812)	Prec@5 67.188 (68.764)
Epoch: [82][4370/7045]	Time 0.101 (0.249)	Data 0.001 (0.182)	Loss 2.5485 (2.5186)	Prec@1 37.891 (38.812)	Prec@5 65.625 (68.764)
Epoch: [82][4380/7045]	Time 0.532 (0.249)	Data 0.480 (0.183)	Loss 2.4826 (2.5187)	Prec@1 37.109 (38.812)	Prec@5 66.797 (68.762)
Epoch: [82][4390/7045]	Time 0.109 (0.249)	Data 0.056 (0.182)	Loss 2.4659 (2.5186)	Prec@1 39.844 (38.812)	Prec@5 69.922 (68.762)
Epoch: [82][4400/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.7036 (2.5187)	Prec@1 35.938 (38.812)	Prec@5 65.625 (68.763)
Epoch: [82][4410/7045]	Time 0.107 (0.249)	Data 0.017 (0.183)	Loss 2.3726 (2.5188)	Prec@1 41.797 (38.811)	Prec@5 71.484 (68.762)
Epoch: [82][4420/7045]	Time 0.163 (0.249)	Data 0.111 (0.182)	Loss 2.5249 (2.5187)	Prec@1 40.234 (38.812)	Prec@5 70.312 (68.765)
Epoch: [82][4430/7045]	Time 0.102 (0.249)	Data 0.020 (0.182)	Loss 2.7180 (2.5188)	Prec@1 32.031 (38.808)	Prec@5 65.625 (68.764)
Epoch: [82][4440/7045]	Time 0.334 (0.249)	Data 0.280 (0.183)	Loss 2.4459 (2.5190)	Prec@1 40.234 (38.804)	Prec@5 68.750 (68.760)
Epoch: [82][4450/7045]	Time 0.840 (0.249)	Data 0.787 (0.183)	Loss 2.4132 (2.5189)	Prec@1 37.891 (38.806)	Prec@5 70.703 (68.761)
Epoch: [82][4460/7045]	Time 0.166 (0.249)	Data 0.114 (0.182)	Loss 2.4973 (2.5188)	Prec@1 34.766 (38.806)	Prec@5 67.578 (68.761)
Epoch: [82][4470/7045]	Time 0.194 (0.249)	Data 0.142 (0.183)	Loss 2.3730 (2.5186)	Prec@1 44.531 (38.811)	Prec@5 70.703 (68.765)
Epoch: [82][4480/7045]	Time 0.361 (0.249)	Data 0.309 (0.183)	Loss 2.5996 (2.5187)	Prec@1 35.156 (38.808)	Prec@5 65.234 (68.761)
Epoch: [82][4490/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 2.2879 (2.5186)	Prec@1 43.359 (38.807)	Prec@5 72.656 (68.766)
Epoch: [82][4500/7045]	Time 0.108 (0.249)	Data 0.055 (0.183)	Loss 2.5777 (2.5185)	Prec@1 38.281 (38.809)	Prec@5 68.750 (68.769)
Epoch: [82][4510/7045]	Time 0.406 (0.249)	Data 0.354 (0.183)	Loss 2.5519 (2.5185)	Prec@1 37.500 (38.811)	Prec@5 69.141 (68.768)
Epoch: [82][4520/7045]	Time 0.272 (0.249)	Data 0.222 (0.183)	Loss 2.6436 (2.5185)	Prec@1 36.328 (38.810)	Prec@5 68.750 (68.767)
Epoch: [82][4530/7045]	Time 0.137 (0.249)	Data 0.085 (0.183)	Loss 2.3726 (2.5186)	Prec@1 46.094 (38.808)	Prec@5 69.531 (68.764)
Epoch: [82][4540/7045]	Time 0.309 (0.249)	Data 0.258 (0.183)	Loss 2.7513 (2.5185)	Prec@1 33.594 (38.808)	Prec@5 62.891 (68.765)
Epoch: [82][4550/7045]	Time 0.102 (0.249)	Data 0.008 (0.183)	Loss 2.6538 (2.5185)	Prec@1 39.844 (38.807)	Prec@5 64.453 (68.765)
Epoch: [82][4560/7045]	Time 0.217 (0.249)	Data 0.165 (0.183)	Loss 2.6223 (2.5185)	Prec@1 37.109 (38.809)	Prec@5 62.891 (68.765)
Epoch: [82][4570/7045]	Time 0.158 (0.249)	Data 0.105 (0.183)	Loss 2.5690 (2.5184)	Prec@1 38.672 (38.810)	Prec@5 65.625 (68.765)
Epoch: [82][4580/7045]	Time 0.113 (0.249)	Data 0.010 (0.183)	Loss 2.4881 (2.5184)	Prec@1 38.281 (38.811)	Prec@5 72.266 (68.767)
Epoch: [82][4590/7045]	Time 0.112 (0.249)	Data 0.061 (0.183)	Loss 2.4878 (2.5183)	Prec@1 37.891 (38.812)	Prec@5 67.969 (68.767)
Epoch: [82][4600/7045]	Time 0.121 (0.249)	Data 0.070 (0.183)	Loss 2.6071 (2.5183)	Prec@1 38.672 (38.812)	Prec@5 66.016 (68.768)
Epoch: [82][4610/7045]	Time 0.100 (0.249)	Data 0.046 (0.182)	Loss 2.6314 (2.5184)	Prec@1 33.984 (38.808)	Prec@5 64.844 (68.765)
Epoch: [82][4620/7045]	Time 0.105 (0.249)	Data 0.007 (0.182)	Loss 2.7413 (2.5185)	Prec@1 32.031 (38.806)	Prec@5 65.234 (68.767)
Epoch: [82][4630/7045]	Time 0.572 (0.249)	Data 0.520 (0.182)	Loss 2.4926 (2.5185)	Prec@1 36.719 (38.803)	Prec@5 70.312 (68.766)
Epoch: [82][4640/7045]	Time 0.108 (0.249)	Data 0.006 (0.182)	Loss 2.2450 (2.5185)	Prec@1 45.703 (38.804)	Prec@5 73.438 (68.765)
Epoch: [82][4650/7045]	Time 0.282 (0.249)	Data 0.229 (0.182)	Loss 2.3468 (2.5184)	Prec@1 42.188 (38.807)	Prec@5 71.484 (68.765)
Epoch: [82][4660/7045]	Time 0.103 (0.249)	Data 0.001 (0.182)	Loss 2.4159 (2.5185)	Prec@1 44.531 (38.805)	Prec@5 71.484 (68.767)
Epoch: [82][4670/7045]	Time 0.188 (0.249)	Data 0.136 (0.182)	Loss 2.4898 (2.5185)	Prec@1 35.547 (38.805)	Prec@5 67.969 (68.768)
Epoch: [82][4680/7045]	Time 0.536 (0.249)	Data 0.485 (0.182)	Loss 2.7349 (2.5186)	Prec@1 35.547 (38.802)	Prec@5 67.188 (68.766)
Epoch: [82][4690/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.6627 (2.5185)	Prec@1 36.328 (38.804)	Prec@5 65.625 (68.767)
Epoch: [82][4700/7045]	Time 0.504 (0.249)	Data 0.452 (0.182)	Loss 2.1654 (2.5183)	Prec@1 44.922 (38.806)	Prec@5 75.000 (68.769)
Epoch: [82][4710/7045]	Time 0.102 (0.249)	Data 0.009 (0.182)	Loss 2.4395 (2.5184)	Prec@1 37.500 (38.803)	Prec@5 68.750 (68.766)
Epoch: [82][4720/7045]	Time 0.111 (0.249)	Data 0.001 (0.182)	Loss 2.6914 (2.5185)	Prec@1 35.938 (38.800)	Prec@5 66.016 (68.763)
Epoch: [82][4730/7045]	Time 0.151 (0.249)	Data 0.100 (0.182)	Loss 2.6748 (2.5186)	Prec@1 32.422 (38.796)	Prec@5 67.188 (68.763)
Epoch: [82][4740/7045]	Time 0.191 (0.249)	Data 0.132 (0.182)	Loss 2.4933 (2.5187)	Prec@1 40.625 (38.797)	Prec@5 70.703 (68.763)
Epoch: [82][4750/7045]	Time 0.403 (0.249)	Data 0.352 (0.182)	Loss 2.5673 (2.5186)	Prec@1 35.156 (38.798)	Prec@5 69.922 (68.763)
Epoch: [82][4760/7045]	Time 0.101 (0.249)	Data 0.001 (0.182)	Loss 2.2875 (2.5187)	Prec@1 41.797 (38.798)	Prec@5 69.531 (68.761)
Epoch: [82][4770/7045]	Time 0.241 (0.249)	Data 0.189 (0.182)	Loss 2.5536 (2.5186)	Prec@1 35.156 (38.802)	Prec@5 68.750 (68.760)
Epoch: [82][4780/7045]	Time 0.199 (0.249)	Data 0.148 (0.182)	Loss 2.3473 (2.5185)	Prec@1 36.719 (38.803)	Prec@5 72.266 (68.761)
Epoch: [82][4790/7045]	Time 0.118 (0.249)	Data 0.066 (0.182)	Loss 2.3620 (2.5185)	Prec@1 38.281 (38.804)	Prec@5 71.875 (68.761)
Epoch: [82][4800/7045]	Time 0.100 (0.249)	Data 0.046 (0.182)	Loss 2.6394 (2.5184)	Prec@1 38.281 (38.809)	Prec@5 62.109 (68.761)
Epoch: [82][4810/7045]	Time 0.323 (0.249)	Data 0.272 (0.182)	Loss 2.4127 (2.5184)	Prec@1 42.578 (38.811)	Prec@5 73.438 (68.764)
Epoch: [82][4820/7045]	Time 0.315 (0.249)	Data 0.262 (0.182)	Loss 2.5086 (2.5184)	Prec@1 36.719 (38.808)	Prec@5 68.359 (68.765)
Epoch: [82][4830/7045]	Time 0.268 (0.249)	Data 0.216 (0.182)	Loss 2.5741 (2.5184)	Prec@1 32.422 (38.807)	Prec@5 67.188 (68.763)
Epoch: [82][4840/7045]	Time 0.332 (0.249)	Data 0.280 (0.182)	Loss 2.5235 (2.5184)	Prec@1 42.969 (38.810)	Prec@5 69.141 (68.762)
Epoch: [82][4850/7045]	Time 0.350 (0.249)	Data 0.298 (0.182)	Loss 2.3931 (2.5184)	Prec@1 42.578 (38.810)	Prec@5 71.484 (68.761)
Epoch: [82][4860/7045]	Time 0.108 (0.249)	Data 0.055 (0.182)	Loss 2.3915 (2.5183)	Prec@1 39.844 (38.810)	Prec@5 70.703 (68.763)
Epoch: [82][4870/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.3690 (2.5182)	Prec@1 42.969 (38.813)	Prec@5 72.266 (68.764)
Epoch: [82][4880/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.5748 (2.5184)	Prec@1 38.281 (38.811)	Prec@5 64.844 (68.760)
Epoch: [82][4890/7045]	Time 0.341 (0.249)	Data 0.289 (0.182)	Loss 2.6888 (2.5184)	Prec@1 34.375 (38.809)	Prec@5 62.109 (68.759)
Epoch: [82][4900/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.5325 (2.5184)	Prec@1 41.016 (38.810)	Prec@5 67.969 (68.762)
Epoch: [82][4910/7045]	Time 0.125 (0.249)	Data 0.064 (0.182)	Loss 2.4253 (2.5185)	Prec@1 39.453 (38.810)	Prec@5 69.141 (68.759)
Epoch: [82][4920/7045]	Time 0.600 (0.249)	Data 0.542 (0.182)	Loss 2.4962 (2.5185)	Prec@1 35.938 (38.810)	Prec@5 66.406 (68.758)
Epoch: [82][4930/7045]	Time 0.103 (0.249)	Data 0.001 (0.182)	Loss 2.5507 (2.5185)	Prec@1 37.500 (38.813)	Prec@5 68.359 (68.759)
Epoch: [82][4940/7045]	Time 0.180 (0.249)	Data 0.129 (0.182)	Loss 2.5733 (2.5186)	Prec@1 39.844 (38.809)	Prec@5 65.234 (68.755)
Epoch: [82][4950/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.5036 (2.5186)	Prec@1 41.406 (38.812)	Prec@5 67.578 (68.755)
Epoch: [82][4960/7045]	Time 0.109 (0.249)	Data 0.005 (0.182)	Loss 2.4723 (2.5185)	Prec@1 39.844 (38.812)	Prec@5 68.750 (68.757)
Epoch: [82][4970/7045]	Time 0.360 (0.249)	Data 0.308 (0.182)	Loss 2.5348 (2.5186)	Prec@1 37.109 (38.811)	Prec@5 67.188 (68.757)
Epoch: [82][4980/7045]	Time 0.159 (0.249)	Data 0.108 (0.182)	Loss 2.5521 (2.5187)	Prec@1 38.281 (38.809)	Prec@5 68.359 (68.756)
Epoch: [82][4990/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.4002 (2.5184)	Prec@1 41.406 (38.814)	Prec@5 69.531 (68.760)
Epoch: [82][5000/7045]	Time 0.304 (0.249)	Data 0.253 (0.182)	Loss 2.6106 (2.5184)	Prec@1 36.328 (38.813)	Prec@5 67.188 (68.761)
Epoch: [82][5010/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.5910 (2.5183)	Prec@1 33.594 (38.813)	Prec@5 67.969 (68.762)
Epoch: [82][5020/7045]	Time 0.112 (0.249)	Data 0.059 (0.182)	Loss 2.4654 (2.5185)	Prec@1 36.719 (38.812)	Prec@5 71.484 (68.758)
Epoch: [82][5030/7045]	Time 0.741 (0.249)	Data 0.683 (0.182)	Loss 2.5682 (2.5183)	Prec@1 39.453 (38.818)	Prec@5 66.797 (68.762)
Epoch: [82][5040/7045]	Time 0.129 (0.249)	Data 0.076 (0.182)	Loss 2.8009 (2.5184)	Prec@1 37.891 (38.814)	Prec@5 67.969 (68.760)
Epoch: [82][5050/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.7181 (2.5184)	Prec@1 35.938 (38.815)	Prec@5 63.281 (68.761)
Epoch: [82][5060/7045]	Time 0.261 (0.249)	Data 0.209 (0.182)	Loss 2.5570 (2.5184)	Prec@1 36.328 (38.814)	Prec@5 66.797 (68.760)
Epoch: [82][5070/7045]	Time 0.109 (0.249)	Data 0.001 (0.182)	Loss 2.6716 (2.5184)	Prec@1 39.062 (38.816)	Prec@5 67.188 (68.761)
Epoch: [82][5080/7045]	Time 0.216 (0.249)	Data 0.163 (0.182)	Loss 2.3898 (2.5184)	Prec@1 42.578 (38.814)	Prec@5 73.828 (68.761)
Epoch: [82][5090/7045]	Time 0.239 (0.249)	Data 0.187 (0.182)	Loss 2.7169 (2.5183)	Prec@1 36.719 (38.817)	Prec@5 65.625 (68.762)
Epoch: [82][5100/7045]	Time 0.102 (0.249)	Data 0.004 (0.182)	Loss 2.8041 (2.5185)	Prec@1 35.938 (38.815)	Prec@5 60.547 (68.758)
Epoch: [82][5110/7045]	Time 0.306 (0.249)	Data 0.254 (0.182)	Loss 2.4607 (2.5184)	Prec@1 41.797 (38.818)	Prec@5 69.141 (68.758)
Epoch: [82][5120/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.5770 (2.5184)	Prec@1 38.281 (38.818)	Prec@5 69.141 (68.759)
Epoch: [82][5130/7045]	Time 0.451 (0.249)	Data 0.391 (0.182)	Loss 2.4015 (2.5184)	Prec@1 42.578 (38.819)	Prec@5 69.531 (68.759)
Epoch: [82][5140/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.5029 (2.5183)	Prec@1 35.938 (38.818)	Prec@5 64.844 (68.760)
Epoch: [82][5150/7045]	Time 0.109 (0.249)	Data 0.006 (0.182)	Loss 2.5296 (2.5184)	Prec@1 39.844 (38.816)	Prec@5 69.141 (68.757)
Epoch: [82][5160/7045]	Time 0.686 (0.249)	Data 0.634 (0.183)	Loss 2.5926 (2.5184)	Prec@1 36.328 (38.815)	Prec@5 66.797 (68.759)
Epoch: [82][5170/7045]	Time 0.103 (0.249)	Data 0.001 (0.182)	Loss 2.5609 (2.5184)	Prec@1 39.844 (38.817)	Prec@5 66.797 (68.759)
Epoch: [82][5180/7045]	Time 0.428 (0.249)	Data 0.377 (0.182)	Loss 2.5839 (2.5183)	Prec@1 39.453 (38.821)	Prec@5 69.922 (68.760)
Epoch: [82][5190/7045]	Time 0.535 (0.249)	Data 0.475 (0.182)	Loss 2.5813 (2.5183)	Prec@1 39.062 (38.822)	Prec@5 64.062 (68.758)
Epoch: [82][5200/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.5908 (2.5183)	Prec@1 36.328 (38.823)	Prec@5 66.016 (68.756)
Epoch: [82][5210/7045]	Time 0.708 (0.249)	Data 0.655 (0.182)	Loss 2.4207 (2.5183)	Prec@1 38.672 (38.826)	Prec@5 68.359 (68.757)
Epoch: [82][5220/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.8188 (2.5183)	Prec@1 34.766 (38.823)	Prec@5 65.625 (68.756)
Epoch: [82][5230/7045]	Time 0.101 (0.249)	Data 0.001 (0.182)	Loss 2.5813 (2.5184)	Prec@1 35.547 (38.821)	Prec@5 68.359 (68.755)
Epoch: [82][5240/7045]	Time 0.276 (0.249)	Data 0.224 (0.182)	Loss 2.4422 (2.5184)	Prec@1 41.016 (38.820)	Prec@5 72.656 (68.755)
Epoch: [82][5250/7045]	Time 0.101 (0.249)	Data 0.020 (0.182)	Loss 2.3668 (2.5185)	Prec@1 41.016 (38.817)	Prec@5 72.656 (68.754)
Epoch: [82][5260/7045]	Time 0.101 (0.249)	Data 0.002 (0.182)	Loss 2.4814 (2.5184)	Prec@1 42.578 (38.820)	Prec@5 69.922 (68.756)
Epoch: [82][5270/7045]	Time 0.433 (0.249)	Data 0.380 (0.182)	Loss 2.3645 (2.5184)	Prec@1 41.797 (38.818)	Prec@5 69.141 (68.758)
Epoch: [82][5280/7045]	Time 0.102 (0.249)	Data 0.008 (0.182)	Loss 2.5509 (2.5185)	Prec@1 37.109 (38.816)	Prec@5 69.922 (68.756)
Epoch: [82][5290/7045]	Time 0.240 (0.249)	Data 0.189 (0.182)	Loss 2.3067 (2.5185)	Prec@1 41.797 (38.819)	Prec@5 73.047 (68.758)
Epoch: [82][5300/7045]	Time 0.113 (0.249)	Data 0.060 (0.182)	Loss 2.7443 (2.5185)	Prec@1 32.422 (38.816)	Prec@5 63.281 (68.756)
Epoch: [82][5310/7045]	Time 0.354 (0.249)	Data 0.301 (0.182)	Loss 2.5442 (2.5185)	Prec@1 38.281 (38.816)	Prec@5 67.969 (68.755)
Epoch: [82][5320/7045]	Time 0.283 (0.249)	Data 0.231 (0.182)	Loss 2.5158 (2.5186)	Prec@1 41.797 (38.817)	Prec@5 68.359 (68.752)
Epoch: [82][5330/7045]	Time 0.634 (0.249)	Data 0.582 (0.183)	Loss 2.4277 (2.5185)	Prec@1 37.500 (38.817)	Prec@5 71.094 (68.753)
Epoch: [82][5340/7045]	Time 0.387 (0.249)	Data 0.336 (0.182)	Loss 2.5477 (2.5186)	Prec@1 41.016 (38.819)	Prec@5 65.625 (68.752)
Epoch: [82][5350/7045]	Time 0.104 (0.249)	Data 0.004 (0.183)	Loss 2.2150 (2.5185)	Prec@1 41.406 (38.818)	Prec@5 75.391 (68.752)
Epoch: [82][5360/7045]	Time 0.102 (0.249)	Data 0.005 (0.182)	Loss 2.4656 (2.5185)	Prec@1 40.234 (38.820)	Prec@5 69.531 (68.752)
Epoch: [82][5370/7045]	Time 0.165 (0.249)	Data 0.114 (0.182)	Loss 2.5729 (2.5185)	Prec@1 36.328 (38.819)	Prec@5 68.750 (68.753)
Epoch: [82][5380/7045]	Time 0.472 (0.249)	Data 0.420 (0.183)	Loss 2.4547 (2.5185)	Prec@1 44.141 (38.820)	Prec@5 67.578 (68.750)
Epoch: [82][5390/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.5344 (2.5185)	Prec@1 36.719 (38.821)	Prec@5 68.750 (68.750)
Epoch: [82][5400/7045]	Time 0.294 (0.249)	Data 0.243 (0.182)	Loss 2.2899 (2.5185)	Prec@1 44.922 (38.821)	Prec@5 70.703 (68.751)
Epoch: [82][5410/7045]	Time 0.102 (0.249)	Data 0.001 (0.182)	Loss 2.5058 (2.5185)	Prec@1 38.281 (38.822)	Prec@5 68.359 (68.752)
Epoch: [82][5420/7045]	Time 0.252 (0.249)	Data 0.199 (0.183)	Loss 2.6792 (2.5186)	Prec@1 35.938 (38.820)	Prec@5 64.062 (68.747)
Epoch: [82][5430/7045]	Time 0.102 (0.249)	Data 0.002 (0.182)	Loss 2.2636 (2.5187)	Prec@1 44.141 (38.819)	Prec@5 73.828 (68.746)
Epoch: [82][5440/7045]	Time 0.529 (0.249)	Data 0.477 (0.183)	Loss 2.2899 (2.5188)	Prec@1 42.578 (38.819)	Prec@5 71.484 (68.745)
Epoch: [82][5450/7045]	Time 0.608 (0.249)	Data 0.557 (0.183)	Loss 2.4507 (2.5188)	Prec@1 41.406 (38.817)	Prec@5 69.922 (68.746)
Epoch: [82][5460/7045]	Time 0.279 (0.249)	Data 0.227 (0.183)	Loss 2.6769 (2.5188)	Prec@1 32.031 (38.817)	Prec@5 66.797 (68.744)
Epoch: [82][5470/7045]	Time 0.101 (0.249)	Data 0.001 (0.183)	Loss 2.7620 (2.5189)	Prec@1 36.328 (38.818)	Prec@5 66.797 (68.744)
Epoch: [82][5480/7045]	Time 0.438 (0.249)	Data 0.386 (0.183)	Loss 2.6783 (2.5190)	Prec@1 35.938 (38.818)	Prec@5 64.844 (68.741)
Epoch: [82][5490/7045]	Time 0.203 (0.249)	Data 0.152 (0.183)	Loss 2.3618 (2.5190)	Prec@1 42.188 (38.815)	Prec@5 71.094 (68.740)
Epoch: [82][5500/7045]	Time 0.107 (0.249)	Data 0.001 (0.183)	Loss 2.4948 (2.5190)	Prec@1 36.719 (38.816)	Prec@5 71.484 (68.742)
Epoch: [82][5510/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 2.5194 (2.5191)	Prec@1 37.500 (38.816)	Prec@5 73.438 (68.742)
Epoch: [82][5520/7045]	Time 0.294 (0.249)	Data 0.243 (0.183)	Loss 2.6847 (2.5190)	Prec@1 34.375 (38.817)	Prec@5 65.625 (68.745)
Epoch: [82][5530/7045]	Time 0.102 (0.249)	Data 0.013 (0.183)	Loss 2.5477 (2.5191)	Prec@1 39.453 (38.818)	Prec@5 68.750 (68.742)
Epoch: [82][5540/7045]	Time 0.254 (0.249)	Data 0.203 (0.183)	Loss 2.5657 (2.5190)	Prec@1 36.719 (38.819)	Prec@5 69.531 (68.745)
Epoch: [82][5550/7045]	Time 0.144 (0.249)	Data 0.093 (0.183)	Loss 2.5644 (2.5191)	Prec@1 38.672 (38.818)	Prec@5 68.750 (68.744)
Epoch: [82][5560/7045]	Time 0.238 (0.249)	Data 0.186 (0.183)	Loss 2.4645 (2.5191)	Prec@1 38.672 (38.818)	Prec@5 69.531 (68.743)
Epoch: [82][5570/7045]	Time 0.100 (0.249)	Data 0.046 (0.183)	Loss 2.5744 (2.5191)	Prec@1 36.328 (38.817)	Prec@5 67.969 (68.743)
Epoch: [82][5580/7045]	Time 0.714 (0.249)	Data 0.661 (0.183)	Loss 2.2407 (2.5190)	Prec@1 43.359 (38.818)	Prec@5 75.781 (68.744)
Epoch: [82][5590/7045]	Time 0.111 (0.249)	Data 0.001 (0.183)	Loss 2.5622 (2.5190)	Prec@1 36.719 (38.820)	Prec@5 63.672 (68.743)
Epoch: [82][5600/7045]	Time 0.297 (0.249)	Data 0.241 (0.183)	Loss 2.6972 (2.5189)	Prec@1 39.453 (38.821)	Prec@5 64.062 (68.744)
Epoch: [82][5610/7045]	Time 0.269 (0.249)	Data 0.219 (0.183)	Loss 2.6517 (2.5189)	Prec@1 37.109 (38.821)	Prec@5 64.062 (68.744)
Epoch: [82][5620/7045]	Time 0.103 (0.249)	Data 0.050 (0.183)	Loss 2.3846 (2.5190)	Prec@1 44.531 (38.821)	Prec@5 69.922 (68.743)
Epoch: [82][5630/7045]	Time 0.200 (0.249)	Data 0.147 (0.183)	Loss 2.4179 (2.5189)	Prec@1 38.672 (38.822)	Prec@5 71.875 (68.745)
Epoch: [82][5640/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 2.4393 (2.5189)	Prec@1 37.891 (38.822)	Prec@5 71.875 (68.744)
Epoch: [82][5650/7045]	Time 0.108 (0.249)	Data 0.007 (0.183)	Loss 2.5555 (2.5189)	Prec@1 34.375 (38.825)	Prec@5 70.312 (68.747)
Epoch: [82][5660/7045]	Time 0.418 (0.249)	Data 0.365 (0.183)	Loss 2.5152 (2.5188)	Prec@1 41.406 (38.825)	Prec@5 69.922 (68.747)
Epoch: [82][5670/7045]	Time 0.102 (0.249)	Data 0.007 (0.183)	Loss 2.5338 (2.5189)	Prec@1 36.719 (38.823)	Prec@5 67.969 (68.746)
Epoch: [82][5680/7045]	Time 0.549 (0.249)	Data 0.498 (0.183)	Loss 2.5663 (2.5189)	Prec@1 38.672 (38.823)	Prec@5 67.578 (68.746)
Epoch: [82][5690/7045]	Time 0.108 (0.249)	Data 0.057 (0.183)	Loss 2.4815 (2.5189)	Prec@1 38.672 (38.824)	Prec@5 72.266 (68.747)
Epoch: [82][5700/7045]	Time 0.347 (0.249)	Data 0.293 (0.183)	Loss 2.5824 (2.5189)	Prec@1 36.719 (38.824)	Prec@5 68.359 (68.746)
Epoch: [82][5710/7045]	Time 0.459 (0.249)	Data 0.406 (0.183)	Loss 2.5264 (2.5190)	Prec@1 41.016 (38.823)	Prec@5 68.750 (68.744)
Epoch: [82][5720/7045]	Time 0.258 (0.249)	Data 0.198 (0.183)	Loss 2.6536 (2.5190)	Prec@1 35.547 (38.821)	Prec@5 67.578 (68.743)
Epoch: [82][5730/7045]	Time 0.401 (0.249)	Data 0.349 (0.183)	Loss 2.5244 (2.5191)	Prec@1 38.672 (38.819)	Prec@5 69.922 (68.740)
Epoch: [82][5740/7045]	Time 0.161 (0.249)	Data 0.110 (0.183)	Loss 2.6412 (2.5191)	Prec@1 36.719 (38.820)	Prec@5 68.359 (68.741)
Epoch: [82][5750/7045]	Time 0.242 (0.249)	Data 0.182 (0.183)	Loss 2.5495 (2.5191)	Prec@1 37.109 (38.822)	Prec@5 68.359 (68.740)
Epoch: [82][5760/7045]	Time 0.103 (0.249)	Data 0.001 (0.183)	Loss 2.3377 (2.5190)	Prec@1 43.359 (38.825)	Prec@5 71.094 (68.742)
Epoch: [82][5770/7045]	Time 0.433 (0.249)	Data 0.380 (0.183)	Loss 2.4356 (2.5189)	Prec@1 37.109 (38.827)	Prec@5 72.266 (68.742)
Epoch: [82][5780/7045]	Time 0.194 (0.249)	Data 0.141 (0.183)	Loss 2.4963 (2.5190)	Prec@1 41.016 (38.826)	Prec@5 67.969 (68.741)
Epoch: [82][5790/7045]	Time 0.341 (0.249)	Data 0.289 (0.183)	Loss 2.5888 (2.5190)	Prec@1 37.500 (38.825)	Prec@5 67.578 (68.740)
Epoch: [82][5800/7045]	Time 0.267 (0.249)	Data 0.207 (0.183)	Loss 2.6613 (2.5189)	Prec@1 37.109 (38.826)	Prec@5 64.453 (68.743)
Epoch: [82][5810/7045]	Time 0.191 (0.249)	Data 0.139 (0.183)	Loss 2.3984 (2.5190)	Prec@1 42.578 (38.823)	Prec@5 69.531 (68.740)
Epoch: [82][5820/7045]	Time 0.191 (0.249)	Data 0.140 (0.183)	Loss 2.5848 (2.5190)	Prec@1 37.891 (38.825)	Prec@5 67.188 (68.740)
Epoch: [82][5830/7045]	Time 0.102 (0.249)	Data 0.007 (0.183)	Loss 2.5404 (2.5190)	Prec@1 39.062 (38.825)	Prec@5 70.312 (68.740)
Epoch: [82][5840/7045]	Time 0.102 (0.249)	Data 0.003 (0.183)	Loss 2.3576 (2.5189)	Prec@1 45.312 (38.828)	Prec@5 70.703 (68.743)
Epoch: [82][5850/7045]	Time 0.630 (0.249)	Data 0.578 (0.183)	Loss 2.4699 (2.5188)	Prec@1 38.672 (38.829)	Prec@5 68.750 (68.744)
Epoch: [82][5860/7045]	Time 0.101 (0.249)	Data 0.012 (0.183)	Loss 2.7515 (2.5188)	Prec@1 37.891 (38.829)	Prec@5 67.578 (68.745)
Epoch: [82][5870/7045]	Time 0.511 (0.249)	Data 0.460 (0.183)	Loss 2.7479 (2.5188)	Prec@1 33.594 (38.829)	Prec@5 66.797 (68.747)
Epoch: [82][5880/7045]	Time 0.176 (0.249)	Data 0.124 (0.183)	Loss 2.5851 (2.5187)	Prec@1 42.969 (38.832)	Prec@5 66.016 (68.749)
Epoch: [82][5890/7045]	Time 0.353 (0.249)	Data 0.301 (0.183)	Loss 2.4179 (2.5188)	Prec@1 41.406 (38.830)	Prec@5 70.312 (68.749)
Epoch: [82][5900/7045]	Time 0.350 (0.249)	Data 0.299 (0.183)	Loss 2.6991 (2.5190)	Prec@1 41.016 (38.829)	Prec@5 64.453 (68.744)
Epoch: [82][5910/7045]	Time 0.317 (0.249)	Data 0.264 (0.183)	Loss 2.4993 (2.5190)	Prec@1 40.234 (38.825)	Prec@5 69.141 (68.745)
Epoch: [82][5920/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 2.6503 (2.5191)	Prec@1 34.766 (38.823)	Prec@5 66.797 (68.745)
Epoch: [82][5930/7045]	Time 0.104 (0.249)	Data 0.001 (0.183)	Loss 2.4633 (2.5191)	Prec@1 35.547 (38.824)	Prec@5 69.531 (68.744)
Epoch: [82][5940/7045]	Time 0.303 (0.249)	Data 0.251 (0.183)	Loss 2.6170 (2.5191)	Prec@1 36.719 (38.823)	Prec@5 67.188 (68.744)
Epoch: [82][5950/7045]	Time 0.377 (0.249)	Data 0.325 (0.183)	Loss 2.6509 (2.5191)	Prec@1 39.062 (38.823)	Prec@5 69.922 (68.743)
Epoch: [82][5960/7045]	Time 0.250 (0.249)	Data 0.199 (0.183)	Loss 2.4693 (2.5192)	Prec@1 39.453 (38.821)	Prec@5 66.797 (68.742)
Epoch: [82][5970/7045]	Time 0.137 (0.249)	Data 0.084 (0.183)	Loss 2.4366 (2.5192)	Prec@1 40.234 (38.822)	Prec@5 69.531 (68.743)
Epoch: [82][5980/7045]	Time 0.328 (0.249)	Data 0.277 (0.183)	Loss 2.3571 (2.5192)	Prec@1 43.359 (38.822)	Prec@5 71.484 (68.745)
Epoch: [82][5990/7045]	Time 0.372 (0.249)	Data 0.321 (0.183)	Loss 2.4981 (2.5192)	Prec@1 41.797 (38.820)	Prec@5 70.312 (68.744)
Epoch: [82][6000/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 2.5867 (2.5192)	Prec@1 37.109 (38.820)	Prec@5 71.484 (68.743)
Epoch: [82][6010/7045]	Time 0.251 (0.249)	Data 0.199 (0.183)	Loss 2.5774 (2.5192)	Prec@1 40.625 (38.821)	Prec@5 69.531 (68.746)
Epoch: [82][6020/7045]	Time 0.262 (0.249)	Data 0.212 (0.183)	Loss 2.4693 (2.5193)	Prec@1 39.453 (38.820)	Prec@5 69.922 (68.743)
Epoch: [82][6030/7045]	Time 0.498 (0.249)	Data 0.447 (0.183)	Loss 2.5299 (2.5192)	Prec@1 40.625 (38.823)	Prec@5 71.875 (68.745)
Epoch: [82][6040/7045]	Time 0.279 (0.249)	Data 0.226 (0.183)	Loss 2.6210 (2.5192)	Prec@1 35.547 (38.821)	Prec@5 65.234 (68.745)
Epoch: [82][6050/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 2.4539 (2.5192)	Prec@1 39.844 (38.823)	Prec@5 69.531 (68.745)
Epoch: [82][6060/7045]	Time 0.197 (0.249)	Data 0.146 (0.183)	Loss 2.5552 (2.5191)	Prec@1 39.453 (38.826)	Prec@5 67.188 (68.744)
Epoch: [82][6070/7045]	Time 0.156 (0.249)	Data 0.105 (0.183)	Loss 2.3089 (2.5191)	Prec@1 44.531 (38.827)	Prec@5 71.094 (68.744)
Epoch: [82][6080/7045]	Time 0.719 (0.249)	Data 0.667 (0.183)	Loss 2.5596 (2.5190)	Prec@1 36.328 (38.827)	Prec@5 66.406 (68.746)
Epoch: [82][6090/7045]	Time 0.170 (0.249)	Data 0.119 (0.183)	Loss 2.4440 (2.5189)	Prec@1 41.797 (38.827)	Prec@5 69.141 (68.746)
Epoch: [82][6100/7045]	Time 0.312 (0.249)	Data 0.257 (0.183)	Loss 2.6117 (2.5190)	Prec@1 36.328 (38.825)	Prec@5 67.969 (68.746)
Epoch: [82][6110/7045]	Time 0.216 (0.249)	Data 0.164 (0.183)	Loss 2.4781 (2.5190)	Prec@1 41.406 (38.825)	Prec@5 64.844 (68.745)
Epoch: [82][6120/7045]	Time 0.235 (0.249)	Data 0.177 (0.183)	Loss 2.8675 (2.5189)	Prec@1 32.812 (38.825)	Prec@5 61.328 (68.744)
Epoch: [82][6130/7045]	Time 0.101 (0.249)	Data 0.020 (0.183)	Loss 2.5117 (2.5190)	Prec@1 38.672 (38.827)	Prec@5 66.797 (68.742)
Epoch: [82][6140/7045]	Time 0.324 (0.249)	Data 0.273 (0.183)	Loss 2.2814 (2.5190)	Prec@1 45.312 (38.828)	Prec@5 69.922 (68.743)
Epoch: [82][6150/7045]	Time 0.260 (0.249)	Data 0.209 (0.183)	Loss 2.4378 (2.5188)	Prec@1 39.844 (38.831)	Prec@5 69.141 (68.744)
Epoch: [82][6160/7045]	Time 0.264 (0.249)	Data 0.212 (0.183)	Loss 2.5448 (2.5188)	Prec@1 39.453 (38.832)	Prec@5 68.359 (68.743)
Epoch: [82][6170/7045]	Time 0.110 (0.249)	Data 0.001 (0.183)	Loss 2.5235 (2.5188)	Prec@1 39.844 (38.831)	Prec@5 66.797 (68.742)
Epoch: [82][6180/7045]	Time 0.111 (0.249)	Data 0.001 (0.183)	Loss 2.6461 (2.5189)	Prec@1 38.672 (38.829)	Prec@5 66.406 (68.741)
Epoch: [82][6190/7045]	Time 0.448 (0.249)	Data 0.397 (0.183)	Loss 2.5969 (2.5190)	Prec@1 39.453 (38.827)	Prec@5 67.578 (68.741)
Epoch: [82][6200/7045]	Time 0.219 (0.249)	Data 0.166 (0.183)	Loss 2.4397 (2.5190)	Prec@1 38.281 (38.824)	Prec@5 71.875 (68.740)
Epoch: [82][6210/7045]	Time 0.101 (0.249)	Data 0.001 (0.183)	Loss 2.3369 (2.5191)	Prec@1 41.797 (38.823)	Prec@5 70.312 (68.740)
Epoch: [82][6220/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 2.6582 (2.5192)	Prec@1 35.547 (38.823)	Prec@5 64.453 (68.739)
Epoch: [82][6230/7045]	Time 0.163 (0.249)	Data 0.110 (0.183)	Loss 2.6530 (2.5191)	Prec@1 36.328 (38.824)	Prec@5 66.406 (68.741)
Epoch: [82][6240/7045]	Time 0.109 (0.249)	Data 0.057 (0.183)	Loss 2.4821 (2.5191)	Prec@1 41.797 (38.824)	Prec@5 69.922 (68.741)
Epoch: [82][6250/7045]	Time 0.173 (0.249)	Data 0.122 (0.183)	Loss 2.4750 (2.5192)	Prec@1 41.797 (38.822)	Prec@5 71.484 (68.738)
Epoch: [82][6260/7045]	Time 0.587 (0.249)	Data 0.535 (0.183)	Loss 2.3316 (2.5191)	Prec@1 42.188 (38.823)	Prec@5 72.266 (68.739)
Epoch: [82][6270/7045]	Time 0.109 (0.249)	Data 0.001 (0.183)	Loss 2.5826 (2.5190)	Prec@1 38.281 (38.827)	Prec@5 63.672 (68.741)
Epoch: [82][6280/7045]	Time 0.608 (0.249)	Data 0.557 (0.183)	Loss 2.6289 (2.5190)	Prec@1 40.234 (38.827)	Prec@5 65.234 (68.741)
Epoch: [82][6290/7045]	Time 0.102 (0.249)	Data 0.021 (0.183)	Loss 2.6232 (2.5191)	Prec@1 40.234 (38.824)	Prec@5 67.969 (68.738)
Epoch: [82][6300/7045]	Time 0.610 (0.249)	Data 0.559 (0.183)	Loss 2.5822 (2.5191)	Prec@1 41.406 (38.825)	Prec@5 66.797 (68.738)
Epoch: [82][6310/7045]	Time 0.108 (0.249)	Data 0.054 (0.183)	Loss 2.3953 (2.5190)	Prec@1 39.844 (38.826)	Prec@5 73.828 (68.739)
Epoch: [82][6320/7045]	Time 0.109 (0.249)	Data 0.014 (0.183)	Loss 2.7400 (2.5190)	Prec@1 33.984 (38.827)	Prec@5 65.234 (68.740)
Epoch: [82][6330/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 2.5402 (2.5189)	Prec@1 39.453 (38.829)	Prec@5 68.750 (68.743)
Epoch: [82][6340/7045]	Time 0.209 (0.249)	Data 0.152 (0.183)	Loss 2.4363 (2.5188)	Prec@1 39.844 (38.828)	Prec@5 69.922 (68.745)
Epoch: [82][6350/7045]	Time 0.604 (0.249)	Data 0.554 (0.183)	Loss 2.6351 (2.5187)	Prec@1 38.281 (38.829)	Prec@5 67.188 (68.746)
Epoch: [82][6360/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 2.6389 (2.5188)	Prec@1 36.328 (38.826)	Prec@5 67.188 (68.744)
Epoch: [82][6370/7045]	Time 0.102 (0.249)	Data 0.007 (0.183)	Loss 2.7694 (2.5189)	Prec@1 36.719 (38.823)	Prec@5 63.672 (68.743)
Epoch: [82][6380/7045]	Time 0.101 (0.249)	Data 0.003 (0.183)	Loss 2.4625 (2.5190)	Prec@1 40.234 (38.822)	Prec@5 67.188 (68.741)
Epoch: [82][6390/7045]	Time 0.320 (0.249)	Data 0.268 (0.183)	Loss 2.3005 (2.5189)	Prec@1 44.531 (38.825)	Prec@5 73.438 (68.741)
Epoch: [82][6400/7045]	Time 0.339 (0.249)	Data 0.288 (0.183)	Loss 2.5616 (2.5188)	Prec@1 34.766 (38.826)	Prec@5 67.578 (68.743)
Epoch: [82][6410/7045]	Time 0.220 (0.249)	Data 0.169 (0.183)	Loss 2.7087 (2.5189)	Prec@1 31.641 (38.826)	Prec@5 64.844 (68.742)
Epoch: [82][6420/7045]	Time 0.415 (0.249)	Data 0.363 (0.183)	Loss 2.7203 (2.5190)	Prec@1 33.203 (38.823)	Prec@5 66.406 (68.741)
Epoch: [82][6430/7045]	Time 0.175 (0.249)	Data 0.123 (0.183)	Loss 2.7802 (2.5190)	Prec@1 36.719 (38.824)	Prec@5 65.625 (68.742)
Epoch: [82][6440/7045]	Time 0.341 (0.249)	Data 0.290 (0.183)	Loss 2.6076 (2.5191)	Prec@1 41.797 (38.822)	Prec@5 68.359 (68.739)
Epoch: [82][6450/7045]	Time 0.211 (0.249)	Data 0.159 (0.183)	Loss 2.3845 (2.5190)	Prec@1 40.234 (38.821)	Prec@5 68.750 (68.739)
Epoch: [82][6460/7045]	Time 0.102 (0.249)	Data 0.006 (0.183)	Loss 2.6941 (2.5191)	Prec@1 36.719 (38.821)	Prec@5 65.625 (68.737)
Epoch: [82][6470/7045]	Time 0.442 (0.249)	Data 0.389 (0.183)	Loss 2.5393 (2.5191)	Prec@1 41.016 (38.821)	Prec@5 67.969 (68.736)
Epoch: [82][6480/7045]	Time 0.536 (0.249)	Data 0.484 (0.183)	Loss 2.4417 (2.5191)	Prec@1 38.281 (38.820)	Prec@5 70.703 (68.737)
Epoch: [82][6490/7045]	Time 0.241 (0.249)	Data 0.189 (0.183)	Loss 2.5769 (2.5192)	Prec@1 39.844 (38.821)	Prec@5 69.141 (68.735)
Epoch: [82][6500/7045]	Time 0.400 (0.249)	Data 0.347 (0.183)	Loss 2.6160 (2.5193)	Prec@1 33.984 (38.818)	Prec@5 67.969 (68.734)
Epoch: [82][6510/7045]	Time 0.104 (0.249)	Data 0.001 (0.183)	Loss 2.5012 (2.5192)	Prec@1 37.891 (38.819)	Prec@5 69.922 (68.736)
Epoch: [82][6520/7045]	Time 0.212 (0.249)	Data 0.160 (0.183)	Loss 2.5764 (2.5191)	Prec@1 37.500 (38.822)	Prec@5 65.234 (68.736)
Epoch: [82][6530/7045]	Time 0.136 (0.249)	Data 0.084 (0.183)	Loss 2.6194 (2.5191)	Prec@1 37.891 (38.822)	Prec@5 67.969 (68.735)
Epoch: [82][6540/7045]	Time 0.486 (0.249)	Data 0.426 (0.183)	Loss 2.7938 (2.5192)	Prec@1 37.891 (38.823)	Prec@5 62.109 (68.733)
Epoch: [82][6550/7045]	Time 0.108 (0.249)	Data 0.001 (0.183)	Loss 2.6803 (2.5193)	Prec@1 31.250 (38.821)	Prec@5 64.844 (68.731)
Epoch: [82][6560/7045]	Time 0.334 (0.249)	Data 0.283 (0.183)	Loss 2.5840 (2.5194)	Prec@1 36.328 (38.819)	Prec@5 67.188 (68.728)
Epoch: [82][6570/7045]	Time 0.258 (0.249)	Data 0.206 (0.183)	Loss 2.6504 (2.5194)	Prec@1 38.672 (38.818)	Prec@5 66.016 (68.726)
Epoch: [82][6580/7045]	Time 0.234 (0.249)	Data 0.183 (0.183)	Loss 2.5456 (2.5194)	Prec@1 37.109 (38.816)	Prec@5 66.797 (68.725)
Epoch: [82][6590/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 2.5786 (2.5195)	Prec@1 42.578 (38.817)	Prec@5 66.797 (68.725)
Epoch: [82][6600/7045]	Time 0.477 (0.249)	Data 0.426 (0.183)	Loss 2.7144 (2.5194)	Prec@1 35.547 (38.818)	Prec@5 63.672 (68.725)
Epoch: [82][6610/7045]	Time 0.381 (0.249)	Data 0.329 (0.183)	Loss 2.4385 (2.5194)	Prec@1 42.188 (38.818)	Prec@5 67.969 (68.725)
Epoch: [82][6620/7045]	Time 0.236 (0.249)	Data 0.184 (0.183)	Loss 2.7273 (2.5195)	Prec@1 33.594 (38.813)	Prec@5 67.188 (68.725)
Epoch: [82][6630/7045]	Time 0.299 (0.249)	Data 0.246 (0.183)	Loss 2.5515 (2.5196)	Prec@1 40.234 (38.812)	Prec@5 67.969 (68.724)
Epoch: [82][6640/7045]	Time 0.191 (0.249)	Data 0.140 (0.183)	Loss 2.3800 (2.5196)	Prec@1 41.016 (38.811)	Prec@5 71.875 (68.723)
Epoch: [82][6650/7045]	Time 0.103 (0.249)	Data 0.001 (0.183)	Loss 2.6212 (2.5197)	Prec@1 36.328 (38.809)	Prec@5 69.141 (68.721)
Epoch: [82][6660/7045]	Time 0.346 (0.249)	Data 0.296 (0.183)	Loss 2.5018 (2.5197)	Prec@1 43.359 (38.810)	Prec@5 65.625 (68.718)
Epoch: [82][6670/7045]	Time 0.430 (0.249)	Data 0.378 (0.183)	Loss 2.6456 (2.5199)	Prec@1 35.938 (38.807)	Prec@5 70.703 (68.716)
Epoch: [82][6680/7045]	Time 0.438 (0.249)	Data 0.386 (0.183)	Loss 2.4140 (2.5199)	Prec@1 39.062 (38.808)	Prec@5 69.922 (68.716)
Epoch: [82][6690/7045]	Time 0.351 (0.249)	Data 0.298 (0.183)	Loss 2.4564 (2.5198)	Prec@1 40.625 (38.809)	Prec@5 71.484 (68.717)
Epoch: [82][6700/7045]	Time 0.102 (0.249)	Data 0.006 (0.183)	Loss 2.5912 (2.5199)	Prec@1 37.500 (38.807)	Prec@5 66.797 (68.717)
Epoch: [82][6710/7045]	Time 0.263 (0.249)	Data 0.211 (0.183)	Loss 2.4116 (2.5198)	Prec@1 40.625 (38.810)	Prec@5 70.703 (68.720)
Epoch: [82][6720/7045]	Time 0.127 (0.249)	Data 0.074 (0.183)	Loss 2.2109 (2.5198)	Prec@1 46.484 (38.810)	Prec@5 73.828 (68.721)
Epoch: [82][6730/7045]	Time 0.261 (0.249)	Data 0.209 (0.183)	Loss 2.5868 (2.5197)	Prec@1 36.719 (38.810)	Prec@5 71.094 (68.723)
Epoch: [82][6740/7045]	Time 0.347 (0.249)	Data 0.288 (0.183)	Loss 2.6448 (2.5197)	Prec@1 31.641 (38.808)	Prec@5 62.891 (68.723)
Epoch: [82][6750/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 2.5232 (2.5197)	Prec@1 35.938 (38.807)	Prec@5 69.531 (68.724)
Epoch: [82][6760/7045]	Time 0.330 (0.249)	Data 0.279 (0.183)	Loss 2.3172 (2.5197)	Prec@1 42.578 (38.808)	Prec@5 71.094 (68.726)
Epoch: [82][6770/7045]	Time 0.226 (0.249)	Data 0.174 (0.183)	Loss 2.5040 (2.5197)	Prec@1 35.938 (38.808)	Prec@5 67.969 (68.727)
Epoch: [82][6780/7045]	Time 0.258 (0.249)	Data 0.206 (0.183)	Loss 2.3579 (2.5198)	Prec@1 38.672 (38.805)	Prec@5 72.266 (68.724)
Epoch: [82][6790/7045]	Time 0.102 (0.249)	Data 0.004 (0.183)	Loss 2.7150 (2.5199)	Prec@1 37.500 (38.803)	Prec@5 62.891 (68.722)
Epoch: [82][6800/7045]	Time 0.254 (0.249)	Data 0.202 (0.183)	Loss 2.5633 (2.5198)	Prec@1 38.672 (38.802)	Prec@5 69.141 (68.722)
Epoch: [82][6810/7045]	Time 0.345 (0.249)	Data 0.290 (0.183)	Loss 2.4019 (2.5198)	Prec@1 42.188 (38.803)	Prec@5 71.875 (68.722)
Epoch: [82][6820/7045]	Time 0.168 (0.249)	Data 0.117 (0.183)	Loss 2.3770 (2.5198)	Prec@1 42.969 (38.805)	Prec@5 71.094 (68.724)
Epoch: [82][6830/7045]	Time 0.457 (0.249)	Data 0.406 (0.183)	Loss 2.4411 (2.5197)	Prec@1 39.844 (38.807)	Prec@5 72.266 (68.726)
Epoch: [82][6840/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 2.5101 (2.5196)	Prec@1 36.719 (38.808)	Prec@5 70.703 (68.727)
Epoch: [82][6850/7045]	Time 0.358 (0.249)	Data 0.306 (0.183)	Loss 2.6226 (2.5195)	Prec@1 37.109 (38.809)	Prec@5 66.797 (68.729)
Epoch: [82][6860/7045]	Time 0.429 (0.249)	Data 0.375 (0.183)	Loss 2.5950 (2.5196)	Prec@1 36.328 (38.806)	Prec@5 66.016 (68.726)
Epoch: [82][6870/7045]	Time 0.178 (0.249)	Data 0.127 (0.183)	Loss 2.6757 (2.5197)	Prec@1 39.062 (38.806)	Prec@5 67.969 (68.726)
Epoch: [82][6880/7045]	Time 0.462 (0.249)	Data 0.410 (0.183)	Loss 2.7318 (2.5197)	Prec@1 39.453 (38.805)	Prec@5 66.016 (68.725)
Epoch: [82][6890/7045]	Time 0.102 (0.249)	Data 0.044 (0.183)	Loss 2.4848 (2.5197)	Prec@1 36.328 (38.805)	Prec@5 67.578 (68.725)
Epoch: [82][6900/7045]	Time 0.100 (0.249)	Data 0.001 (0.183)	Loss 2.2901 (2.5197)	Prec@1 42.188 (38.805)	Prec@5 74.219 (68.726)
Epoch: [82][6910/7045]	Time 0.102 (0.249)	Data 0.001 (0.183)	Loss 2.4874 (2.5197)	Prec@1 37.500 (38.806)	Prec@5 71.875 (68.726)
Epoch: [82][6920/7045]	Time 0.149 (0.249)	Data 0.098 (0.183)	Loss 2.7369 (2.5197)	Prec@1 32.422 (38.804)	Prec@5 66.016 (68.727)
Epoch: [82][6930/7045]	Time 0.359 (0.249)	Data 0.307 (0.183)	Loss 2.3819 (2.5197)	Prec@1 39.844 (38.805)	Prec@5 69.922 (68.727)
Epoch: [82][6940/7045]	Time 0.162 (0.249)	Data 0.103 (0.183)	Loss 2.5067 (2.5197)	Prec@1 40.234 (38.805)	Prec@5 68.750 (68.727)
Epoch: [82][6950/7045]	Time 0.713 (0.249)	Data 0.660 (0.183)	Loss 2.6584 (2.5197)	Prec@1 33.984 (38.803)	Prec@5 67.578 (68.726)
Epoch: [82][6960/7045]	Time 0.119 (0.249)	Data 0.059 (0.183)	Loss 2.5791 (2.5197)	Prec@1 39.453 (38.803)	Prec@5 64.453 (68.727)
Epoch: [82][6970/7045]	Time 0.440 (0.249)	Data 0.387 (0.183)	Loss 2.6672 (2.5196)	Prec@1 34.375 (38.803)	Prec@5 66.797 (68.730)
Epoch: [82][6980/7045]	Time 0.108 (0.249)	Data 0.001 (0.183)	Loss 2.6584 (2.5196)	Prec@1 34.375 (38.804)	Prec@5 69.922 (68.730)
Epoch: [82][6990/7045]	Time 0.219 (0.249)	Data 0.167 (0.183)	Loss 2.6793 (2.5196)	Prec@1 32.422 (38.803)	Prec@5 67.188 (68.731)
Epoch: [82][7000/7045]	Time 0.111 (0.248)	Data 0.058 (0.183)	Loss 2.4419 (2.5196)	Prec@1 41.016 (38.804)	Prec@5 69.531 (68.730)
Epoch: [82][7010/7045]	Time 0.387 (0.249)	Data 0.328 (0.183)	Loss 2.6917 (2.5196)	Prec@1 35.938 (38.803)	Prec@5 66.016 (68.730)
Epoch: [82][7020/7045]	Time 0.427 (0.249)	Data 0.376 (0.183)	Loss 2.6194 (2.5197)	Prec@1 36.719 (38.802)	Prec@5 66.797 (68.727)
Epoch: [82][7030/7045]	Time 0.103 (0.249)	Data 0.001 (0.183)	Loss 2.5943 (2.5198)	Prec@1 39.844 (38.801)	Prec@5 66.797 (68.726)
Epoch: [82][7040/7045]	Time 0.102 (0.249)	Data 0.000 (0.183)	Loss 2.5250 (2.5198)	Prec@1 33.594 (38.802)	Prec@5 70.312 (68.726)
Test: [0/143]	Time 1.199 (1.199)	Loss 2.1466 (2.1466)	Prec@1 47.266 (47.266)	Prec@5 75.000 (75.000)
Test: [10/143]	Time 0.063 (0.240)	Loss 1.6419 (1.9885)	Prec@1 59.375 (50.284)	Prec@5 84.375 (78.764)
Test: [20/143]	Time 0.351 (0.218)	Loss 2.0883 (1.9752)	Prec@1 48.047 (49.386)	Prec@5 78.125 (79.334)
Test: [30/143]	Time 0.060 (0.196)	Loss 2.1714 (2.0030)	Prec@1 48.828 (49.357)	Prec@5 71.484 (78.327)
Test: [40/143]	Time 0.286 (0.195)	Loss 2.7446 (2.0409)	Prec@1 22.266 (47.971)	Prec@5 69.141 (77.630)
Test: [50/143]	Time 0.210 (0.189)	Loss 1.9512 (2.0921)	Prec@1 46.094 (46.324)	Prec@5 80.859 (77.137)
Test: [60/143]	Time 0.168 (0.186)	Loss 2.2930 (2.0776)	Prec@1 37.500 (46.625)	Prec@5 75.000 (77.453)
Test: [70/143]	Time 0.300 (0.184)	Loss 2.9494 (2.0731)	Prec@1 26.953 (46.836)	Prec@5 58.203 (77.597)
Test: [80/143]	Time 0.118 (0.182)	Loss 1.9624 (2.0653)	Prec@1 50.000 (47.000)	Prec@5 82.422 (77.840)
Test: [90/143]	Time 0.259 (0.181)	Loss 1.6762 (2.0557)	Prec@1 57.422 (47.175)	Prec@5 87.891 (78.134)
Test: [100/143]	Time 0.124 (0.180)	Loss 1.8385 (2.0551)	Prec@1 53.906 (47.138)	Prec@5 85.547 (78.233)
Test: [110/143]	Time 0.169 (0.178)	Loss 1.8825 (2.0528)	Prec@1 51.172 (47.378)	Prec@5 80.078 (78.312)
Test: [120/143]	Time 0.146 (0.178)	Loss 1.8203 (2.0444)	Prec@1 55.078 (47.679)	Prec@5 84.375 (78.409)
Test: [130/143]	Time 0.049 (0.178)	Loss 1.5634 (2.0519)	Prec@1 66.016 (47.516)	Prec@5 82.812 (78.268)
Test: [140/143]	Time 0.154 (0.176)	Loss 3.0357 (2.0748)	Prec@1 25.000 (46.922)	Prec@5 63.281 (77.840)
 * Prec@1 46.964 Prec@5 77.863
Epoch: [83][0/7045]	Time 2.379 (2.379)	Data 2.321 (2.321)	Loss 2.5009 (2.5009)	Prec@1 37.891 (37.891)	Prec@5 69.141 (69.141)
Epoch: [83][10/7045]	Time 0.137 (0.424)	Data 0.086 (0.357)	Loss 2.5938 (2.5544)	Prec@1 36.328 (38.601)	Prec@5 70.312 (68.466)
Epoch: [83][20/7045]	Time 0.565 (0.357)	Data 0.513 (0.288)	Loss 2.4929 (2.5390)	Prec@1 38.281 (38.449)	Prec@5 68.750 (68.434)
Epoch: [83][30/7045]	Time 0.277 (0.319)	Data 0.226 (0.255)	Loss 2.5785 (2.5363)	Prec@1 37.891 (38.533)	Prec@5 70.703 (68.574)
Epoch: [83][40/7045]	Time 0.109 (0.307)	Data 0.001 (0.244)	Loss 2.5749 (2.5205)	Prec@1 41.406 (39.167)	Prec@5 68.359 (68.931)
Epoch: [83][50/7045]	Time 0.114 (0.292)	Data 0.061 (0.230)	Loss 2.6174 (2.5134)	Prec@1 37.891 (39.223)	Prec@5 67.578 (68.919)
Epoch: [83][60/7045]	Time 0.195 (0.286)	Data 0.143 (0.225)	Loss 2.3720 (2.5031)	Prec@1 44.141 (39.357)	Prec@5 71.094 (69.045)
Epoch: [83][70/7045]	Time 0.459 (0.283)	Data 0.407 (0.223)	Loss 2.5045 (2.5075)	Prec@1 41.016 (39.387)	Prec@5 72.266 (68.904)
Epoch: [83][80/7045]	Time 0.172 (0.276)	Data 0.119 (0.215)	Loss 2.4164 (2.5112)	Prec@1 38.672 (39.231)	Prec@5 70.312 (68.861)
Epoch: [83][90/7045]	Time 0.416 (0.275)	Data 0.364 (0.213)	Loss 2.6551 (2.5130)	Prec@1 34.375 (39.183)	Prec@5 67.188 (68.853)
Epoch: [83][100/7045]	Time 0.140 (0.270)	Data 0.087 (0.209)	Loss 2.4514 (2.5131)	Prec@1 35.547 (39.225)	Prec@5 71.094 (68.897)
Epoch: [83][110/7045]	Time 0.102 (0.269)	Data 0.005 (0.208)	Loss 2.6661 (2.5152)	Prec@1 37.109 (39.055)	Prec@5 66.797 (68.877)
Epoch: [83][120/7045]	Time 0.102 (0.266)	Data 0.002 (0.205)	Loss 2.4302 (2.5130)	Prec@1 40.625 (39.072)	Prec@5 73.438 (68.924)
Epoch: [83][130/7045]	Time 0.320 (0.267)	Data 0.267 (0.204)	Loss 2.3827 (2.5084)	Prec@1 43.750 (39.191)	Prec@5 70.703 (69.015)
Epoch: [83][140/7045]	Time 0.223 (0.264)	Data 0.172 (0.202)	Loss 2.4600 (2.5123)	Prec@1 36.719 (39.123)	Prec@5 70.312 (68.900)
Epoch: [83][150/7045]	Time 0.277 (0.263)	Data 0.219 (0.201)	Loss 2.3794 (2.5149)	Prec@1 43.359 (39.140)	Prec@5 69.922 (68.799)
Epoch: [83][160/7045]	Time 0.574 (0.263)	Data 0.521 (0.200)	Loss 2.3571 (2.5151)	Prec@1 39.453 (39.101)	Prec@5 72.266 (68.723)
Epoch: [83][170/7045]	Time 0.108 (0.261)	Data 0.006 (0.198)	Loss 2.5918 (2.5152)	Prec@1 38.281 (39.190)	Prec@5 65.234 (68.675)
Epoch: [83][180/7045]	Time 0.419 (0.261)	Data 0.368 (0.197)	Loss 2.4188 (2.5177)	Prec@1 41.406 (39.088)	Prec@5 71.094 (68.608)
Epoch: [83][190/7045]	Time 0.111 (0.259)	Data 0.058 (0.196)	Loss 2.4389 (2.5177)	Prec@1 42.578 (39.097)	Prec@5 70.312 (68.578)
Epoch: [83][200/7045]	Time 0.445 (0.259)	Data 0.394 (0.195)	Loss 2.6547 (2.5181)	Prec@1 38.281 (39.059)	Prec@5 65.625 (68.618)
Epoch: [83][210/7045]	Time 0.108 (0.258)	Data 0.004 (0.193)	Loss 2.6273 (2.5180)	Prec@1 32.812 (39.029)	Prec@5 67.969 (68.646)
Epoch: [83][220/7045]	Time 0.446 (0.257)	Data 0.393 (0.193)	Loss 2.3053 (2.5186)	Prec@1 44.141 (39.054)	Prec@5 68.359 (68.603)
Epoch: [83][230/7045]	Time 0.109 (0.256)	Data 0.006 (0.191)	Loss 2.4405 (2.5167)	Prec@1 36.328 (39.059)	Prec@5 69.141 (68.659)
Epoch: [83][240/7045]	Time 0.404 (0.256)	Data 0.352 (0.191)	Loss 2.4323 (2.5163)	Prec@1 37.500 (39.017)	Prec@5 67.578 (68.620)
Epoch: [83][250/7045]	Time 0.102 (0.255)	Data 0.006 (0.190)	Loss 2.4055 (2.5138)	Prec@1 41.016 (39.062)	Prec@5 71.484 (68.711)
Epoch: [83][260/7045]	Time 0.443 (0.254)	Data 0.391 (0.190)	Loss 2.5965 (2.5138)	Prec@1 40.625 (39.004)	Prec@5 69.141 (68.729)
Epoch: [83][270/7045]	Time 0.101 (0.253)	Data 0.003 (0.189)	Loss 2.6328 (2.5147)	Prec@1 38.281 (38.947)	Prec@5 69.141 (68.728)
Epoch: [83][280/7045]	Time 0.449 (0.253)	Data 0.396 (0.189)	Loss 2.5654 (2.5154)	Prec@1 35.547 (38.914)	Prec@5 70.703 (68.767)
Epoch: [83][290/7045]	Time 0.108 (0.253)	Data 0.001 (0.188)	Loss 2.8509 (2.5161)	Prec@1 35.938 (38.913)	Prec@5 61.328 (68.742)
Epoch: [83][300/7045]	Time 0.626 (0.253)	Data 0.573 (0.188)	Loss 2.5132 (2.5159)	Prec@1 42.188 (38.947)	Prec@5 66.406 (68.742)
Epoch: [83][310/7045]	Time 0.102 (0.252)	Data 0.005 (0.187)	Loss 2.4096 (2.5152)	Prec@1 43.359 (38.958)	Prec@5 69.922 (68.761)
Epoch: [83][320/7045]	Time 0.570 (0.252)	Data 0.510 (0.187)	Loss 2.4610 (2.5133)	Prec@1 38.672 (39.014)	Prec@5 70.703 (68.806)
Epoch: [83][330/7045]	Time 0.102 (0.251)	Data 0.001 (0.186)	Loss 2.5478 (2.5132)	Prec@1 37.891 (39.026)	Prec@5 69.922 (68.816)
Epoch: [83][340/7045]	Time 0.561 (0.251)	Data 0.509 (0.186)	Loss 2.3319 (2.5115)	Prec@1 39.844 (39.065)	Prec@5 72.656 (68.845)
Epoch: [83][350/7045]	Time 0.102 (0.250)	Data 0.005 (0.185)	Loss 2.5978 (2.5129)	Prec@1 37.109 (39.019)	Prec@5 66.797 (68.828)
Epoch: [83][360/7045]	Time 0.471 (0.251)	Data 0.419 (0.185)	Loss 2.5521 (2.5154)	Prec@1 43.359 (38.962)	Prec@5 70.312 (68.769)
Epoch: [83][370/7045]	Time 0.102 (0.250)	Data 0.004 (0.185)	Loss 2.5003 (2.5164)	Prec@1 43.750 (38.958)	Prec@5 69.531 (68.754)
Epoch: [83][380/7045]	Time 0.400 (0.250)	Data 0.347 (0.185)	Loss 2.5038 (2.5172)	Prec@1 37.500 (38.913)	Prec@5 67.188 (68.738)
Epoch: [83][390/7045]	Time 0.108 (0.250)	Data 0.001 (0.184)	Loss 2.4077 (2.5163)	Prec@1 39.453 (38.947)	Prec@5 69.141 (68.752)
Epoch: [83][400/7045]	Time 0.255 (0.249)	Data 0.203 (0.184)	Loss 2.8639 (2.5167)	Prec@1 33.984 (38.957)	Prec@5 61.719 (68.748)
Epoch: [83][410/7045]	Time 0.104 (0.249)	Data 0.051 (0.184)	Loss 2.5580 (2.5187)	Prec@1 36.719 (38.911)	Prec@5 68.750 (68.713)
Epoch: [83][420/7045]	Time 0.146 (0.249)	Data 0.095 (0.184)	Loss 2.4619 (2.5179)	Prec@1 41.406 (38.919)	Prec@5 70.703 (68.690)
Epoch: [83][430/7045]	Time 0.129 (0.248)	Data 0.076 (0.184)	Loss 2.5676 (2.5172)	Prec@1 37.500 (38.903)	Prec@5 69.922 (68.713)
Epoch: [83][440/7045]	Time 0.126 (0.248)	Data 0.074 (0.184)	Loss 2.8877 (2.5180)	Prec@1 33.203 (38.899)	Prec@5 63.672 (68.703)
Epoch: [83][450/7045]	Time 0.103 (0.248)	Data 0.005 (0.184)	Loss 2.4515 (2.5170)	Prec@1 42.969 (38.909)	Prec@5 68.359 (68.723)
Epoch: [83][460/7045]	Time 0.165 (0.248)	Data 0.112 (0.184)	Loss 2.7085 (2.5182)	Prec@1 37.500 (38.885)	Prec@5 67.969 (68.714)
Epoch: [83][470/7045]	Time 0.102 (0.248)	Data 0.004 (0.184)	Loss 2.4622 (2.5180)	Prec@1 43.750 (38.899)	Prec@5 69.922 (68.723)
Epoch: [83][480/7045]	Time 0.163 (0.247)	Data 0.111 (0.184)	Loss 2.4694 (2.5180)	Prec@1 35.547 (38.890)	Prec@5 68.359 (68.731)
Epoch: [83][490/7045]	Time 0.102 (0.247)	Data 0.004 (0.184)	Loss 2.4277 (2.5172)	Prec@1 42.969 (38.885)	Prec@5 71.875 (68.750)
Epoch: [83][500/7045]	Time 0.124 (0.247)	Data 0.072 (0.183)	Loss 2.5693 (2.5176)	Prec@1 35.938 (38.853)	Prec@5 67.969 (68.748)
Epoch: [83][510/7045]	Time 0.103 (0.247)	Data 0.001 (0.183)	Loss 2.5799 (2.5185)	Prec@1 37.891 (38.854)	Prec@5 69.141 (68.747)
Epoch: [83][520/7045]	Time 0.105 (0.247)	Data 0.052 (0.183)	Loss 2.5923 (2.5187)	Prec@1 37.109 (38.837)	Prec@5 68.359 (68.751)
Epoch: [83][530/7045]	Time 0.103 (0.247)	Data 0.003 (0.183)	Loss 2.4825 (2.5189)	Prec@1 40.625 (38.814)	Prec@5 69.531 (68.743)
Epoch: [83][540/7045]	Time 0.177 (0.247)	Data 0.124 (0.183)	Loss 2.7080 (2.5198)	Prec@1 34.766 (38.802)	Prec@5 66.016 (68.719)
Epoch: [83][550/7045]	Time 0.102 (0.247)	Data 0.001 (0.183)	Loss 2.2597 (2.5200)	Prec@1 43.359 (38.803)	Prec@5 72.266 (68.714)
Epoch: [83][560/7045]	Time 0.151 (0.246)	Data 0.098 (0.183)	Loss 2.5936 (2.5197)	Prec@1 35.938 (38.801)	Prec@5 67.188 (68.720)
Epoch: [83][570/7045]	Time 0.101 (0.246)	Data 0.001 (0.182)	Loss 2.6434 (2.5199)	Prec@1 37.109 (38.805)	Prec@5 67.969 (68.723)
Epoch: [83][580/7045]	Time 0.117 (0.246)	Data 0.064 (0.182)	Loss 2.2706 (2.5180)	Prec@1 46.094 (38.859)	Prec@5 73.438 (68.754)
Epoch: [83][590/7045]	Time 0.102 (0.246)	Data 0.006 (0.182)	Loss 2.4297 (2.5171)	Prec@1 40.625 (38.886)	Prec@5 71.094 (68.778)
Epoch: [83][600/7045]	Time 0.102 (0.246)	Data 0.002 (0.182)	Loss 2.5378 (2.5171)	Prec@1 37.500 (38.885)	Prec@5 67.969 (68.777)
Epoch: [83][610/7045]	Time 0.126 (0.246)	Data 0.074 (0.182)	Loss 2.5972 (2.5174)	Prec@1 35.156 (38.876)	Prec@5 69.141 (68.764)
Epoch: [83][620/7045]	Time 0.102 (0.246)	Data 0.003 (0.182)	Loss 2.5754 (2.5177)	Prec@1 33.984 (38.850)	Prec@5 67.578 (68.765)
Epoch: [83][630/7045]	Time 0.188 (0.246)	Data 0.135 (0.182)	Loss 2.5583 (2.5166)	Prec@1 35.938 (38.861)	Prec@5 64.062 (68.780)
Epoch: [83][640/7045]	Time 0.101 (0.246)	Data 0.002 (0.182)	Loss 2.5772 (2.5155)	Prec@1 38.672 (38.889)	Prec@5 67.578 (68.794)
Epoch: [83][650/7045]	Time 0.235 (0.245)	Data 0.182 (0.182)	Loss 2.3902 (2.5150)	Prec@1 37.500 (38.894)	Prec@5 70.703 (68.811)
Epoch: [83][660/7045]	Time 0.102 (0.245)	Data 0.048 (0.182)	Loss 2.5645 (2.5145)	Prec@1 39.453 (38.912)	Prec@5 70.703 (68.823)
Epoch: [83][670/7045]	Time 0.216 (0.245)	Data 0.164 (0.181)	Loss 2.5529 (2.5152)	Prec@1 35.547 (38.899)	Prec@5 68.750 (68.808)
Epoch: [83][680/7045]	Time 0.101 (0.245)	Data 0.001 (0.181)	Loss 2.4553 (2.5151)	Prec@1 42.969 (38.895)	Prec@5 67.578 (68.809)
Epoch: [83][690/7045]	Time 0.216 (0.245)	Data 0.164 (0.181)	Loss 2.3840 (2.5144)	Prec@1 41.797 (38.907)	Prec@5 73.438 (68.821)
Epoch: [83][700/7045]	Time 0.102 (0.245)	Data 0.004 (0.181)	Loss 2.4244 (2.5141)	Prec@1 36.719 (38.900)	Prec@5 71.094 (68.831)
Epoch: [83][710/7045]	Time 0.219 (0.245)	Data 0.167 (0.181)	Loss 2.6636 (2.5152)	Prec@1 39.453 (38.884)	Prec@5 69.531 (68.815)
Epoch: [83][720/7045]	Time 0.105 (0.245)	Data 0.052 (0.181)	Loss 2.5430 (2.5153)	Prec@1 35.938 (38.880)	Prec@5 66.797 (68.816)
Epoch: [83][730/7045]	Time 0.275 (0.245)	Data 0.223 (0.181)	Loss 2.4234 (2.5157)	Prec@1 39.453 (38.877)	Prec@5 72.266 (68.799)
Epoch: [83][740/7045]	Time 0.107 (0.245)	Data 0.054 (0.181)	Loss 2.7566 (2.5160)	Prec@1 35.547 (38.866)	Prec@5 68.750 (68.796)
Epoch: [83][750/7045]	Time 0.277 (0.245)	Data 0.217 (0.182)	Loss 2.4015 (2.5158)	Prec@1 40.234 (38.854)	Prec@5 69.531 (68.804)
Epoch: [83][760/7045]	Time 0.104 (0.244)	Data 0.051 (0.181)	Loss 2.4241 (2.5155)	Prec@1 38.281 (38.862)	Prec@5 68.359 (68.811)
Epoch: [83][770/7045]	Time 0.331 (0.245)	Data 0.274 (0.182)	Loss 2.6302 (2.5155)	Prec@1 35.938 (38.871)	Prec@5 65.625 (68.806)
Epoch: [83][780/7045]	Time 0.103 (0.244)	Data 0.001 (0.181)	Loss 2.5529 (2.5147)	Prec@1 37.109 (38.877)	Prec@5 66.797 (68.829)
Epoch: [83][790/7045]	Time 0.364 (0.245)	Data 0.311 (0.181)	Loss 2.4399 (2.5153)	Prec@1 39.453 (38.855)	Prec@5 69.531 (68.830)
Epoch: [83][800/7045]	Time 0.101 (0.244)	Data 0.005 (0.181)	Loss 2.6341 (2.5150)	Prec@1 36.719 (38.874)	Prec@5 65.234 (68.818)
Epoch: [83][810/7045]	Time 0.259 (0.244)	Data 0.206 (0.181)	Loss 2.4754 (2.5143)	Prec@1 35.938 (38.877)	Prec@5 71.484 (68.837)
Epoch: [83][820/7045]	Time 0.103 (0.244)	Data 0.001 (0.181)	Loss 2.4265 (2.5145)	Prec@1 42.578 (38.862)	Prec@5 70.703 (68.825)
Epoch: [83][830/7045]	Time 0.279 (0.244)	Data 0.227 (0.181)	Loss 2.3736 (2.5148)	Prec@1 43.750 (38.861)	Prec@5 73.047 (68.838)
Epoch: [83][840/7045]	Time 0.112 (0.244)	Data 0.059 (0.181)	Loss 2.3826 (2.5142)	Prec@1 38.281 (38.867)	Prec@5 69.531 (68.855)
Epoch: [83][850/7045]	Time 0.324 (0.244)	Data 0.272 (0.181)	Loss 2.4487 (2.5145)	Prec@1 36.719 (38.865)	Prec@5 69.531 (68.859)
Epoch: [83][860/7045]	Time 0.111 (0.244)	Data 0.059 (0.180)	Loss 2.4182 (2.5141)	Prec@1 42.188 (38.873)	Prec@5 71.094 (68.872)
Epoch: [83][870/7045]	Time 0.181 (0.244)	Data 0.121 (0.181)	Loss 2.5697 (2.5143)	Prec@1 39.453 (38.874)	Prec@5 66.016 (68.854)
Epoch: [83][880/7045]	Time 0.103 (0.244)	Data 0.001 (0.180)	Loss 2.3962 (2.5144)	Prec@1 41.797 (38.880)	Prec@5 69.141 (68.847)
Epoch: [83][890/7045]	Time 0.322 (0.244)	Data 0.269 (0.181)	Loss 2.6172 (2.5142)	Prec@1 38.672 (38.887)	Prec@5 65.234 (68.849)
Epoch: [83][900/7045]	Time 0.110 (0.244)	Data 0.058 (0.180)	Loss 2.5124 (2.5138)	Prec@1 44.531 (38.909)	Prec@5 66.797 (68.845)
Epoch: [83][910/7045]	Time 0.391 (0.244)	Data 0.338 (0.180)	Loss 2.6135 (2.5140)	Prec@1 41.797 (38.918)	Prec@5 63.672 (68.824)
Epoch: [83][920/7045]	Time 0.102 (0.244)	Data 0.003 (0.180)	Loss 2.4983 (2.5143)	Prec@1 40.234 (38.922)	Prec@5 73.047 (68.824)
Epoch: [83][930/7045]	Time 0.442 (0.244)	Data 0.389 (0.180)	Loss 2.4133 (2.5145)	Prec@1 41.016 (38.921)	Prec@5 73.828 (68.830)
Epoch: [83][940/7045]	Time 0.102 (0.244)	Data 0.001 (0.180)	Loss 2.1899 (2.5143)	Prec@1 42.969 (38.906)	Prec@5 77.344 (68.831)
Epoch: [83][950/7045]	Time 0.379 (0.244)	Data 0.320 (0.180)	Loss 2.4638 (2.5142)	Prec@1 38.672 (38.906)	Prec@5 70.703 (68.843)
Epoch: [83][960/7045]	Time 0.101 (0.243)	Data 0.001 (0.180)	Loss 2.8838 (2.5145)	Prec@1 33.203 (38.903)	Prec@5 60.938 (68.844)
Epoch: [83][970/7045]	Time 0.372 (0.244)	Data 0.318 (0.180)	Loss 2.4150 (2.5146)	Prec@1 43.750 (38.896)	Prec@5 71.094 (68.831)
Epoch: [83][980/7045]	Time 0.102 (0.243)	Data 0.005 (0.180)	Loss 2.6577 (2.5149)	Prec@1 37.109 (38.894)	Prec@5 69.141 (68.830)
Epoch: [83][990/7045]	Time 0.490 (0.244)	Data 0.431 (0.180)	Loss 2.5250 (2.5142)	Prec@1 37.891 (38.896)	Prec@5 66.016 (68.844)
Epoch: [83][1000/7045]	Time 0.102 (0.243)	Data 0.005 (0.179)	Loss 2.5947 (2.5145)	Prec@1 31.250 (38.891)	Prec@5 66.797 (68.844)
Epoch: [83][1010/7045]	Time 0.374 (0.243)	Data 0.322 (0.180)	Loss 2.4196 (2.5143)	Prec@1 38.672 (38.889)	Prec@5 69.141 (68.841)
Epoch: [83][1020/7045]	Time 0.129 (0.243)	Data 0.076 (0.180)	Loss 2.4018 (2.5142)	Prec@1 38.281 (38.890)	Prec@5 71.484 (68.845)
Epoch: [83][1030/7045]	Time 0.398 (0.243)	Data 0.346 (0.180)	Loss 2.6300 (2.5145)	Prec@1 39.062 (38.896)	Prec@5 64.062 (68.830)
Epoch: [83][1040/7045]	Time 0.175 (0.243)	Data 0.122 (0.180)	Loss 2.6954 (2.5145)	Prec@1 34.766 (38.893)	Prec@5 65.234 (68.830)
Epoch: [83][1050/7045]	Time 0.416 (0.243)	Data 0.364 (0.180)	Loss 2.6808 (2.5151)	Prec@1 35.547 (38.862)	Prec@5 66.406 (68.815)
Epoch: [83][1060/7045]	Time 0.212 (0.243)	Data 0.160 (0.180)	Loss 2.3757 (2.5155)	Prec@1 37.500 (38.854)	Prec@5 74.219 (68.802)
Epoch: [83][1070/7045]	Time 0.387 (0.243)	Data 0.335 (0.180)	Loss 2.6277 (2.5158)	Prec@1 31.250 (38.836)	Prec@5 64.453 (68.798)
Epoch: [83][1080/7045]	Time 0.256 (0.243)	Data 0.197 (0.180)	Loss 2.5914 (2.5156)	Prec@1 39.062 (38.854)	Prec@5 66.406 (68.798)
Epoch: [83][1090/7045]	Time 0.314 (0.243)	Data 0.262 (0.180)	Loss 2.2955 (2.5153)	Prec@1 42.188 (38.860)	Prec@5 72.656 (68.811)
Epoch: [83][1100/7045]	Time 0.300 (0.243)	Data 0.247 (0.180)	Loss 2.5971 (2.5153)	Prec@1 35.547 (38.857)	Prec@5 65.234 (68.806)
Epoch: [83][1110/7045]	Time 0.338 (0.243)	Data 0.286 (0.180)	Loss 2.3926 (2.5151)	Prec@1 40.625 (38.872)	Prec@5 70.703 (68.803)
Epoch: [83][1120/7045]	Time 0.216 (0.243)	Data 0.163 (0.180)	Loss 2.6351 (2.5152)	Prec@1 33.594 (38.864)	Prec@5 65.625 (68.806)
Epoch: [83][1130/7045]	Time 0.344 (0.243)	Data 0.291 (0.180)	Loss 2.4484 (2.5150)	Prec@1 41.406 (38.868)	Prec@5 66.016 (68.808)
Epoch: [83][1140/7045]	Time 0.205 (0.243)	Data 0.153 (0.180)	Loss 2.5748 (2.5151)	Prec@1 39.062 (38.859)	Prec@5 69.922 (68.807)
Epoch: [83][1150/7045]	Time 0.286 (0.243)	Data 0.234 (0.180)	Loss 2.6370 (2.5152)	Prec@1 37.891 (38.856)	Prec@5 66.406 (68.802)
Epoch: [83][1160/7045]	Time 0.253 (0.243)	Data 0.202 (0.181)	Loss 2.5640 (2.5150)	Prec@1 41.016 (38.860)	Prec@5 70.312 (68.809)
Epoch: [83][1170/7045]	Time 0.193 (0.243)	Data 0.141 (0.180)	Loss 2.2260 (2.5146)	Prec@1 43.359 (38.867)	Prec@5 73.828 (68.818)
Epoch: [83][1180/7045]	Time 0.260 (0.243)	Data 0.202 (0.181)	Loss 2.7226 (2.5143)	Prec@1 34.766 (38.876)	Prec@5 66.016 (68.815)
Epoch: [83][1190/7045]	Time 0.112 (0.243)	Data 0.060 (0.180)	Loss 2.4742 (2.5138)	Prec@1 39.453 (38.889)	Prec@5 70.312 (68.825)
Epoch: [83][1200/7045]	Time 0.234 (0.243)	Data 0.182 (0.181)	Loss 2.5291 (2.5134)	Prec@1 38.281 (38.889)	Prec@5 66.406 (68.829)
Epoch: [83][1210/7045]	Time 0.102 (0.243)	Data 0.001 (0.180)	Loss 2.4764 (2.5134)	Prec@1 35.156 (38.889)	Prec@5 71.484 (68.836)
Epoch: [83][1220/7045]	Time 0.226 (0.243)	Data 0.174 (0.180)	Loss 2.6626 (2.5137)	Prec@1 32.812 (38.886)	Prec@5 66.016 (68.834)
Epoch: [83][1230/7045]	Time 0.102 (0.243)	Data 0.001 (0.180)	Loss 2.7664 (2.5139)	Prec@1 33.594 (38.883)	Prec@5 62.891 (68.830)
Epoch: [83][1240/7045]	Time 0.185 (0.243)	Data 0.127 (0.180)	Loss 2.4521 (2.5141)	Prec@1 40.234 (38.876)	Prec@5 70.312 (68.829)
Epoch: [83][1250/7045]	Time 0.112 (0.242)	Data 0.059 (0.180)	Loss 2.4860 (2.5147)	Prec@1 40.625 (38.854)	Prec@5 67.969 (68.807)
Epoch: [83][1260/7045]	Time 0.185 (0.243)	Data 0.132 (0.180)	Loss 2.5600 (2.5155)	Prec@1 37.500 (38.839)	Prec@5 65.234 (68.789)
Epoch: [83][1270/7045]	Time 0.111 (0.242)	Data 0.058 (0.180)	Loss 2.3135 (2.5149)	Prec@1 41.406 (38.843)	Prec@5 73.047 (68.799)
Epoch: [83][1280/7045]	Time 0.116 (0.242)	Data 0.064 (0.180)	Loss 2.6083 (2.5154)	Prec@1 38.281 (38.827)	Prec@5 69.141 (68.785)
Epoch: [83][1290/7045]	Time 0.123 (0.242)	Data 0.071 (0.180)	Loss 2.5178 (2.5151)	Prec@1 37.500 (38.829)	Prec@5 67.578 (68.786)
Epoch: [83][1300/7045]	Time 0.106 (0.242)	Data 0.053 (0.180)	Loss 2.3596 (2.5142)	Prec@1 43.359 (38.847)	Prec@5 71.484 (68.800)
Epoch: [83][1310/7045]	Time 0.184 (0.242)	Data 0.132 (0.180)	Loss 2.7384 (2.5147)	Prec@1 33.594 (38.835)	Prec@5 64.844 (68.789)
Epoch: [83][1320/7045]	Time 0.108 (0.242)	Data 0.005 (0.180)	Loss 2.5527 (2.5149)	Prec@1 37.109 (38.832)	Prec@5 68.359 (68.785)
Epoch: [83][1330/7045]	Time 0.191 (0.242)	Data 0.138 (0.180)	Loss 2.5372 (2.5150)	Prec@1 42.188 (38.831)	Prec@5 68.750 (68.783)
Epoch: [83][1340/7045]	Time 0.102 (0.242)	Data 0.004 (0.180)	Loss 2.4867 (2.5149)	Prec@1 35.547 (38.835)	Prec@5 67.188 (68.786)
Epoch: [83][1350/7045]	Time 0.288 (0.242)	Data 0.236 (0.180)	Loss 2.0861 (2.5148)	Prec@1 44.141 (38.841)	Prec@5 79.297 (68.793)
Epoch: [83][1360/7045]	Time 0.126 (0.242)	Data 0.073 (0.180)	Loss 2.6061 (2.5151)	Prec@1 32.031 (38.838)	Prec@5 67.578 (68.787)
Epoch: [83][1370/7045]	Time 0.258 (0.242)	Data 0.206 (0.180)	Loss 2.4303 (2.5152)	Prec@1 41.406 (38.841)	Prec@5 71.875 (68.788)
Epoch: [83][1380/7045]	Time 0.245 (0.242)	Data 0.188 (0.180)	Loss 2.5872 (2.5148)	Prec@1 39.453 (38.842)	Prec@5 65.625 (68.796)
Epoch: [83][1390/7045]	Time 0.327 (0.242)	Data 0.275 (0.180)	Loss 2.4405 (2.5150)	Prec@1 38.281 (38.841)	Prec@5 73.438 (68.795)
Epoch: [83][1400/7045]	Time 0.316 (0.242)	Data 0.263 (0.180)	Loss 2.6294 (2.5146)	Prec@1 39.844 (38.850)	Prec@5 67.578 (68.812)
Epoch: [83][1410/7045]	Time 0.328 (0.242)	Data 0.276 (0.180)	Loss 2.5880 (2.5148)	Prec@1 41.016 (38.851)	Prec@5 67.578 (68.810)
Epoch: [83][1420/7045]	Time 0.391 (0.242)	Data 0.333 (0.180)	Loss 2.7574 (2.5152)	Prec@1 30.469 (38.835)	Prec@5 62.500 (68.798)
Epoch: [83][1430/7045]	Time 0.263 (0.242)	Data 0.211 (0.180)	Loss 2.4429 (2.5151)	Prec@1 42.969 (38.830)	Prec@5 67.969 (68.792)
Epoch: [83][1440/7045]	Time 0.222 (0.242)	Data 0.170 (0.180)	Loss 2.3778 (2.5149)	Prec@1 39.062 (38.835)	Prec@5 70.312 (68.798)
Epoch: [83][1450/7045]	Time 0.340 (0.242)	Data 0.288 (0.180)	Loss 2.4568 (2.5145)	Prec@1 41.016 (38.839)	Prec@5 69.531 (68.806)
Epoch: [83][1460/7045]	Time 0.163 (0.242)	Data 0.110 (0.180)	Loss 2.4999 (2.5144)	Prec@1 41.797 (38.837)	Prec@5 66.406 (68.806)
Epoch: [83][1470/7045]	Time 0.329 (0.242)	Data 0.276 (0.180)	Loss 2.5337 (2.5144)	Prec@1 38.672 (38.837)	Prec@5 67.578 (68.802)
Epoch: [83][1480/7045]	Time 0.139 (0.242)	Data 0.086 (0.180)	Loss 2.5020 (2.5143)	Prec@1 39.062 (38.853)	Prec@5 70.312 (68.805)
Epoch: [83][1490/7045]	Time 0.339 (0.242)	Data 0.287 (0.180)	Loss 2.5346 (2.5139)	Prec@1 37.500 (38.856)	Prec@5 69.531 (68.816)
Epoch: [83][1500/7045]	Time 0.165 (0.242)	Data 0.113 (0.180)	Loss 2.5328 (2.5139)	Prec@1 37.891 (38.865)	Prec@5 66.797 (68.813)
Epoch: [83][1510/7045]	Time 0.316 (0.242)	Data 0.265 (0.180)	Loss 2.3889 (2.5138)	Prec@1 40.625 (38.865)	Prec@5 72.656 (68.820)
Epoch: [83][1520/7045]	Time 0.113 (0.242)	Data 0.060 (0.180)	Loss 2.5391 (2.5133)	Prec@1 41.797 (38.872)	Prec@5 71.875 (68.835)
Epoch: [83][1530/7045]	Time 0.282 (0.242)	Data 0.229 (0.180)	Loss 2.4342 (2.5132)	Prec@1 41.797 (38.871)	Prec@5 71.094 (68.835)
Epoch: [83][1540/7045]	Time 0.191 (0.242)	Data 0.139 (0.180)	Loss 2.5115 (2.5134)	Prec@1 39.453 (38.865)	Prec@5 68.750 (68.838)
Epoch: [83][1550/7045]	Time 0.271 (0.242)	Data 0.219 (0.180)	Loss 2.4057 (2.5132)	Prec@1 41.406 (38.866)	Prec@5 67.969 (68.841)
Epoch: [83][1560/7045]	Time 0.170 (0.242)	Data 0.118 (0.180)	Loss 2.4992 (2.5130)	Prec@1 39.062 (38.865)	Prec@5 68.359 (68.848)
Epoch: [83][1570/7045]	Time 0.279 (0.242)	Data 0.220 (0.180)	Loss 2.4820 (2.5126)	Prec@1 40.625 (38.872)	Prec@5 65.625 (68.856)
Epoch: [83][1580/7045]	Time 0.128 (0.242)	Data 0.076 (0.180)	Loss 2.3268 (2.5126)	Prec@1 42.188 (38.879)	Prec@5 72.656 (68.849)
Epoch: [83][1590/7045]	Time 0.399 (0.242)	Data 0.347 (0.180)	Loss 2.4888 (2.5128)	Prec@1 41.797 (38.871)	Prec@5 68.750 (68.846)
Epoch: [83][1600/7045]	Time 0.110 (0.242)	Data 0.058 (0.180)	Loss 2.5193 (2.5132)	Prec@1 36.719 (38.869)	Prec@5 67.578 (68.833)
Epoch: [83][1610/7045]	Time 0.345 (0.242)	Data 0.286 (0.180)	Loss 2.3843 (2.5131)	Prec@1 42.578 (38.878)	Prec@5 68.359 (68.831)
Epoch: [83][1620/7045]	Time 0.112 (0.242)	Data 0.059 (0.180)	Loss 2.4123 (2.5128)	Prec@1 41.406 (38.889)	Prec@5 70.703 (68.838)
Epoch: [83][1630/7045]	Time 0.199 (0.242)	Data 0.146 (0.180)	Loss 2.5045 (2.5125)	Prec@1 40.625 (38.903)	Prec@5 65.625 (68.841)
Epoch: [83][1640/7045]	Time 0.102 (0.242)	Data 0.001 (0.180)	Loss 2.5465 (2.5124)	Prec@1 40.234 (38.909)	Prec@5 67.578 (68.839)
Epoch: [83][1650/7045]	Time 0.096 (0.242)	Data 0.001 (0.180)	Loss 2.5627 (2.5126)	Prec@1 35.938 (38.908)	Prec@5 68.359 (68.834)
Epoch: [83][1660/7045]	Time 0.103 (0.242)	Data 0.001 (0.180)	Loss 2.6882 (2.5128)	Prec@1 34.375 (38.904)	Prec@5 66.406 (68.832)
Epoch: [83][1670/7045]	Time 0.101 (0.242)	Data 0.006 (0.180)	Loss 2.5638 (2.5131)	Prec@1 37.109 (38.898)	Prec@5 66.406 (68.825)
Epoch: [83][1680/7045]	Time 0.141 (0.242)	Data 0.088 (0.179)	Loss 2.6572 (2.5129)	Prec@1 38.281 (38.905)	Prec@5 64.453 (68.830)
Epoch: [83][1690/7045]	Time 0.109 (0.242)	Data 0.006 (0.179)	Loss 2.4663 (2.5128)	Prec@1 42.188 (38.910)	Prec@5 68.750 (68.836)
Epoch: [83][1700/7045]	Time 0.179 (0.242)	Data 0.127 (0.179)	Loss 2.4882 (2.5129)	Prec@1 40.234 (38.914)	Prec@5 67.188 (68.836)
Epoch: [83][1710/7045]	Time 0.231 (0.242)	Data 0.178 (0.180)	Loss 2.4911 (2.5129)	Prec@1 37.109 (38.915)	Prec@5 67.969 (68.833)
Epoch: [83][1720/7045]	Time 0.185 (0.242)	Data 0.132 (0.179)	Loss 2.6228 (2.5129)	Prec@1 34.375 (38.915)	Prec@5 67.578 (68.833)
Epoch: [83][1730/7045]	Time 0.121 (0.242)	Data 0.069 (0.179)	Loss 2.4585 (2.5132)	Prec@1 38.672 (38.910)	Prec@5 70.703 (68.826)
Epoch: [83][1740/7045]	Time 0.166 (0.242)	Data 0.115 (0.179)	Loss 2.6445 (2.5132)	Prec@1 38.672 (38.909)	Prec@5 62.891 (68.823)
Epoch: [83][1750/7045]	Time 0.169 (0.242)	Data 0.118 (0.180)	Loss 2.5057 (2.5132)	Prec@1 37.109 (38.912)	Prec@5 66.016 (68.818)
Epoch: [83][1760/7045]	Time 0.293 (0.242)	Data 0.242 (0.180)	Loss 2.4821 (2.5132)	Prec@1 34.766 (38.910)	Prec@5 71.484 (68.823)
Epoch: [83][1770/7045]	Time 0.210 (0.242)	Data 0.158 (0.180)	Loss 2.5342 (2.5134)	Prec@1 39.844 (38.908)	Prec@5 68.750 (68.820)
Epoch: [83][1780/7045]	Time 0.206 (0.242)	Data 0.156 (0.180)	Loss 2.5174 (2.5134)	Prec@1 42.188 (38.904)	Prec@5 69.922 (68.821)
Epoch: [83][1790/7045]	Time 0.111 (0.242)	Data 0.058 (0.180)	Loss 2.6355 (2.5138)	Prec@1 32.031 (38.894)	Prec@5 68.359 (68.813)
Epoch: [83][1800/7045]	Time 0.208 (0.242)	Data 0.156 (0.180)	Loss 2.4895 (2.5138)	Prec@1 35.547 (38.891)	Prec@5 70.703 (68.814)
Epoch: [83][1810/7045]	Time 0.102 (0.242)	Data 0.002 (0.180)	Loss 2.5382 (2.5134)	Prec@1 37.109 (38.900)	Prec@5 67.578 (68.818)
Epoch: [83][1820/7045]	Time 0.251 (0.242)	Data 0.199 (0.180)	Loss 2.6487 (2.5136)	Prec@1 40.625 (38.899)	Prec@5 66.016 (68.817)
Epoch: [83][1830/7045]	Time 0.102 (0.242)	Data 0.046 (0.180)	Loss 2.4950 (2.5135)	Prec@1 36.719 (38.896)	Prec@5 71.094 (68.822)
Epoch: [83][1840/7045]	Time 0.260 (0.242)	Data 0.206 (0.180)	Loss 2.3921 (2.5138)	Prec@1 41.016 (38.887)	Prec@5 71.094 (68.819)
Epoch: [83][1850/7045]	Time 0.101 (0.242)	Data 0.045 (0.180)	Loss 2.5435 (2.5142)	Prec@1 35.156 (38.878)	Prec@5 68.750 (68.813)
Epoch: [83][1860/7045]	Time 0.253 (0.242)	Data 0.200 (0.180)	Loss 2.5141 (2.5141)	Prec@1 40.234 (38.885)	Prec@5 67.969 (68.814)
Epoch: [83][1870/7045]	Time 0.102 (0.242)	Data 0.045 (0.180)	Loss 2.3222 (2.5140)	Prec@1 41.406 (38.882)	Prec@5 73.438 (68.819)
Epoch: [83][1880/7045]	Time 0.219 (0.242)	Data 0.168 (0.180)	Loss 2.6907 (2.5140)	Prec@1 35.938 (38.884)	Prec@5 64.844 (68.819)
Epoch: [83][1890/7045]	Time 0.102 (0.242)	Data 0.002 (0.180)	Loss 2.4312 (2.5136)	Prec@1 44.141 (38.894)	Prec@5 68.359 (68.825)
Epoch: [83][1900/7045]	Time 0.206 (0.242)	Data 0.155 (0.180)	Loss 2.4114 (2.5136)	Prec@1 39.453 (38.891)	Prec@5 69.922 (68.828)
Epoch: [83][1910/7045]	Time 0.102 (0.241)	Data 0.004 (0.180)	Loss 2.4507 (2.5137)	Prec@1 41.406 (38.895)	Prec@5 71.094 (68.824)
Epoch: [83][1920/7045]	Time 0.234 (0.242)	Data 0.183 (0.180)	Loss 2.4975 (2.5137)	Prec@1 40.625 (38.899)	Prec@5 67.969 (68.820)
Epoch: [83][1930/7045]	Time 0.102 (0.241)	Data 0.003 (0.180)	Loss 2.4448 (2.5136)	Prec@1 39.844 (38.900)	Prec@5 67.969 (68.823)
Epoch: [83][1940/7045]	Time 0.185 (0.242)	Data 0.126 (0.180)	Loss 2.5433 (2.5137)	Prec@1 35.938 (38.901)	Prec@5 68.359 (68.824)
Epoch: [83][1950/7045]	Time 0.102 (0.241)	Data 0.049 (0.180)	Loss 2.4902 (2.5136)	Prec@1 41.016 (38.896)	Prec@5 68.750 (68.831)
Epoch: [83][1960/7045]	Time 0.176 (0.242)	Data 0.118 (0.180)	Loss 2.4269 (2.5134)	Prec@1 35.156 (38.897)	Prec@5 70.703 (68.836)
Epoch: [83][1970/7045]	Time 0.101 (0.241)	Data 0.001 (0.180)	Loss 2.5979 (2.5138)	Prec@1 35.547 (38.888)	Prec@5 68.750 (68.828)
Epoch: [83][1980/7045]	Time 0.108 (0.242)	Data 0.056 (0.180)	Loss 2.4837 (2.5138)	Prec@1 39.844 (38.889)	Prec@5 68.750 (68.828)
Epoch: [83][1990/7045]	Time 0.102 (0.241)	Data 0.001 (0.179)	Loss 2.5504 (2.5138)	Prec@1 37.891 (38.883)	Prec@5 67.578 (68.829)
Epoch: [83][2000/7045]	Time 0.143 (0.242)	Data 0.084 (0.180)	Loss 2.0947 (2.5138)	Prec@1 43.359 (38.883)	Prec@5 80.859 (68.827)
Epoch: [83][2010/7045]	Time 0.102 (0.241)	Data 0.001 (0.179)	Loss 2.5718 (2.5139)	Prec@1 37.500 (38.880)	Prec@5 69.531 (68.824)
Epoch: [83][2020/7045]	Time 0.109 (0.242)	Data 0.005 (0.179)	Loss 2.4520 (2.5137)	Prec@1 40.625 (38.881)	Prec@5 72.656 (68.830)
Epoch: [83][2030/7045]	Time 0.103 (0.241)	Data 0.001 (0.179)	Loss 2.5599 (2.5138)	Prec@1 39.453 (38.881)	Prec@5 67.578 (68.827)
Epoch: [83][2040/7045]	Time 0.096 (0.242)	Data 0.001 (0.179)	Loss 2.7481 (2.5142)	Prec@1 33.203 (38.874)	Prec@5 63.281 (68.822)
Epoch: [83][2050/7045]	Time 0.102 (0.241)	Data 0.001 (0.179)	Loss 2.6597 (2.5141)	Prec@1 37.109 (38.871)	Prec@5 64.062 (68.827)
Epoch: [83][2060/7045]	Time 0.165 (0.242)	Data 0.114 (0.179)	Loss 2.5141 (2.5142)	Prec@1 41.406 (38.875)	Prec@5 71.094 (68.827)
Epoch: [83][2070/7045]	Time 0.103 (0.241)	Data 0.001 (0.179)	Loss 2.5851 (2.5143)	Prec@1 40.234 (38.869)	Prec@5 66.797 (68.825)
Epoch: [83][2080/7045]	Time 0.129 (0.241)	Data 0.076 (0.179)	Loss 2.4470 (2.5144)	Prec@1 39.844 (38.867)	Prec@5 71.484 (68.822)
Epoch: [83][2090/7045]	Time 0.110 (0.241)	Data 0.058 (0.179)	Loss 2.5616 (2.5144)	Prec@1 39.844 (38.862)	Prec@5 66.016 (68.819)
Epoch: [83][2100/7045]	Time 0.252 (0.241)	Data 0.200 (0.179)	Loss 2.5160 (2.5141)	Prec@1 38.672 (38.866)	Prec@5 70.312 (68.823)
Epoch: [83][2110/7045]	Time 0.107 (0.241)	Data 0.054 (0.179)	Loss 2.4009 (2.5142)	Prec@1 43.750 (38.862)	Prec@5 69.922 (68.822)
Epoch: [83][2120/7045]	Time 0.205 (0.241)	Data 0.154 (0.179)	Loss 2.5409 (2.5143)	Prec@1 43.750 (38.864)	Prec@5 68.750 (68.819)
Epoch: [83][2130/7045]	Time 0.223 (0.241)	Data 0.171 (0.179)	Loss 2.4758 (2.5143)	Prec@1 36.719 (38.870)	Prec@5 73.828 (68.821)
Epoch: [83][2140/7045]	Time 0.237 (0.241)	Data 0.186 (0.179)	Loss 2.3638 (2.5140)	Prec@1 40.234 (38.871)	Prec@5 69.922 (68.822)
Epoch: [83][2150/7045]	Time 0.310 (0.241)	Data 0.258 (0.179)	Loss 2.3016 (2.5141)	Prec@1 46.875 (38.876)	Prec@5 72.266 (68.820)
Epoch: [83][2160/7045]	Time 0.216 (0.241)	Data 0.158 (0.179)	Loss 2.5145 (2.5141)	Prec@1 38.281 (38.875)	Prec@5 71.875 (68.817)
Epoch: [83][2170/7045]	Time 0.395 (0.241)	Data 0.344 (0.179)	Loss 2.5310 (2.5141)	Prec@1 38.281 (38.878)	Prec@5 67.969 (68.816)
Epoch: [83][2180/7045]	Time 0.245 (0.241)	Data 0.194 (0.179)	Loss 2.3615 (2.5139)	Prec@1 42.578 (38.882)	Prec@5 71.094 (68.820)
Epoch: [83][2190/7045]	Time 0.467 (0.241)	Data 0.411 (0.179)	Loss 2.5756 (2.5137)	Prec@1 37.500 (38.885)	Prec@5 66.797 (68.823)
Epoch: [83][2200/7045]	Time 0.277 (0.241)	Data 0.226 (0.179)	Loss 2.4073 (2.5137)	Prec@1 40.625 (38.886)	Prec@5 74.609 (68.827)
Epoch: [83][2210/7045]	Time 0.420 (0.241)	Data 0.367 (0.179)	Loss 2.5841 (2.5138)	Prec@1 37.891 (38.887)	Prec@5 65.234 (68.823)
Epoch: [83][2220/7045]	Time 0.235 (0.241)	Data 0.182 (0.179)	Loss 2.7039 (2.5141)	Prec@1 35.938 (38.881)	Prec@5 69.531 (68.819)
Epoch: [83][2230/7045]	Time 0.425 (0.241)	Data 0.374 (0.179)	Loss 2.4738 (2.5141)	Prec@1 37.500 (38.882)	Prec@5 69.922 (68.821)
Epoch: [83][2240/7045]	Time 0.272 (0.241)	Data 0.220 (0.179)	Loss 2.5101 (2.5138)	Prec@1 40.625 (38.888)	Prec@5 70.703 (68.825)
Epoch: [83][2250/7045]	Time 0.346 (0.241)	Data 0.294 (0.179)	Loss 2.4629 (2.5137)	Prec@1 38.281 (38.886)	Prec@5 69.141 (68.827)
Epoch: [83][2260/7045]	Time 0.141 (0.241)	Data 0.090 (0.179)	Loss 2.6417 (2.5138)	Prec@1 34.375 (38.882)	Prec@5 65.234 (68.830)
Epoch: [83][2270/7045]	Time 0.303 (0.241)	Data 0.251 (0.179)	Loss 2.4468 (2.5139)	Prec@1 41.016 (38.878)	Prec@5 70.312 (68.823)
Epoch: [83][2280/7045]	Time 0.141 (0.241)	Data 0.089 (0.179)	Loss 2.5892 (2.5139)	Prec@1 37.109 (38.878)	Prec@5 66.406 (68.819)
Epoch: [83][2290/7045]	Time 0.250 (0.241)	Data 0.197 (0.179)	Loss 2.5419 (2.5137)	Prec@1 38.672 (38.886)	Prec@5 66.016 (68.825)
Epoch: [83][2300/7045]	Time 0.111 (0.241)	Data 0.001 (0.179)	Loss 2.5162 (2.5136)	Prec@1 38.281 (38.886)	Prec@5 68.359 (68.827)
Epoch: [83][2310/7045]	Time 0.181 (0.241)	Data 0.128 (0.178)	Loss 2.6194 (2.5134)	Prec@1 39.844 (38.892)	Prec@5 66.016 (68.829)
Epoch: [83][2320/7045]	Time 0.101 (0.241)	Data 0.003 (0.179)	Loss 2.3307 (2.5133)	Prec@1 38.672 (38.895)	Prec@5 71.094 (68.834)
Epoch: [83][2330/7045]	Time 0.109 (0.241)	Data 0.055 (0.178)	Loss 2.3810 (2.5133)	Prec@1 43.750 (38.892)	Prec@5 72.656 (68.832)
Epoch: [83][2340/7045]	Time 0.106 (0.241)	Data 0.053 (0.178)	Loss 2.5977 (2.5137)	Prec@1 39.844 (38.889)	Prec@5 69.141 (68.826)
Epoch: [83][2350/7045]	Time 0.106 (0.241)	Data 0.052 (0.178)	Loss 2.5112 (2.5135)	Prec@1 42.578 (38.894)	Prec@5 69.531 (68.831)
Epoch: [83][2360/7045]	Time 0.257 (0.241)	Data 0.204 (0.179)	Loss 2.4899 (2.5135)	Prec@1 39.453 (38.897)	Prec@5 70.312 (68.834)
Epoch: [83][2370/7045]	Time 0.386 (0.241)	Data 0.334 (0.179)	Loss 2.5746 (2.5137)	Prec@1 38.281 (38.890)	Prec@5 69.141 (68.833)
Epoch: [83][2380/7045]	Time 0.266 (0.241)	Data 0.214 (0.179)	Loss 2.5147 (2.5137)	Prec@1 38.672 (38.893)	Prec@5 67.578 (68.834)
Epoch: [83][2390/7045]	Time 0.479 (0.241)	Data 0.428 (0.179)	Loss 2.5784 (2.5136)	Prec@1 37.891 (38.896)	Prec@5 69.141 (68.834)
Epoch: [83][2400/7045]	Time 0.222 (0.241)	Data 0.170 (0.178)	Loss 2.6375 (2.5137)	Prec@1 39.062 (38.899)	Prec@5 67.969 (68.832)
Epoch: [83][2410/7045]	Time 0.505 (0.241)	Data 0.453 (0.179)	Loss 2.4479 (2.5136)	Prec@1 41.406 (38.900)	Prec@5 70.312 (68.835)
Epoch: [83][2420/7045]	Time 0.108 (0.241)	Data 0.005 (0.178)	Loss 2.5511 (2.5136)	Prec@1 39.062 (38.900)	Prec@5 67.969 (68.835)
Epoch: [83][2430/7045]	Time 0.468 (0.241)	Data 0.416 (0.178)	Loss 2.8170 (2.5138)	Prec@1 31.641 (38.892)	Prec@5 62.500 (68.830)
Epoch: [83][2440/7045]	Time 0.108 (0.241)	Data 0.055 (0.178)	Loss 2.4778 (2.5138)	Prec@1 35.156 (38.890)	Prec@5 69.531 (68.832)
Epoch: [83][2450/7045]	Time 0.355 (0.241)	Data 0.302 (0.178)	Loss 2.6276 (2.5138)	Prec@1 39.062 (38.889)	Prec@5 67.188 (68.831)
Epoch: [83][2460/7045]	Time 0.205 (0.241)	Data 0.146 (0.178)	Loss 2.3368 (2.5137)	Prec@1 42.969 (38.890)	Prec@5 69.141 (68.833)
Epoch: [83][2470/7045]	Time 0.367 (0.241)	Data 0.316 (0.178)	Loss 2.5260 (2.5134)	Prec@1 36.719 (38.896)	Prec@5 68.359 (68.842)
Epoch: [83][2480/7045]	Time 0.211 (0.241)	Data 0.152 (0.179)	Loss 2.2998 (2.5133)	Prec@1 44.922 (38.897)	Prec@5 73.438 (68.845)
Epoch: [83][2490/7045]	Time 0.322 (0.241)	Data 0.270 (0.179)	Loss 2.6398 (2.5132)	Prec@1 34.375 (38.893)	Prec@5 67.188 (68.852)
Epoch: [83][2500/7045]	Time 0.278 (0.241)	Data 0.225 (0.179)	Loss 2.4078 (2.5132)	Prec@1 41.406 (38.895)	Prec@5 71.875 (68.855)
Epoch: [83][2510/7045]	Time 0.349 (0.241)	Data 0.290 (0.179)	Loss 2.5049 (2.5134)	Prec@1 36.328 (38.891)	Prec@5 69.531 (68.853)
Epoch: [83][2520/7045]	Time 0.503 (0.241)	Data 0.450 (0.179)	Loss 2.4975 (2.5132)	Prec@1 36.719 (38.885)	Prec@5 69.922 (68.856)
Epoch: [83][2530/7045]	Time 0.229 (0.241)	Data 0.172 (0.179)	Loss 2.1976 (2.5130)	Prec@1 45.312 (38.891)	Prec@5 73.828 (68.858)
Epoch: [83][2540/7045]	Time 0.495 (0.241)	Data 0.443 (0.179)	Loss 2.6166 (2.5131)	Prec@1 31.641 (38.885)	Prec@5 66.406 (68.856)
Epoch: [83][2550/7045]	Time 0.216 (0.241)	Data 0.165 (0.179)	Loss 2.7152 (2.5132)	Prec@1 32.422 (38.881)	Prec@5 70.312 (68.857)
Epoch: [83][2560/7045]	Time 0.577 (0.241)	Data 0.525 (0.179)	Loss 2.4265 (2.5133)	Prec@1 41.797 (38.880)	Prec@5 70.312 (68.854)
Epoch: [83][2570/7045]	Time 0.202 (0.241)	Data 0.143 (0.179)	Loss 2.4164 (2.5136)	Prec@1 39.453 (38.877)	Prec@5 72.266 (68.851)
Epoch: [83][2580/7045]	Time 0.583 (0.241)	Data 0.531 (0.179)	Loss 2.5427 (2.5135)	Prec@1 42.188 (38.884)	Prec@5 63.672 (68.851)
Epoch: [83][2590/7045]	Time 0.120 (0.241)	Data 0.061 (0.179)	Loss 2.6173 (2.5135)	Prec@1 36.328 (38.882)	Prec@5 64.062 (68.853)
Epoch: [83][2600/7045]	Time 0.543 (0.241)	Data 0.491 (0.179)	Loss 2.4464 (2.5135)	Prec@1 37.109 (38.885)	Prec@5 69.531 (68.854)
Epoch: [83][2610/7045]	Time 0.101 (0.241)	Data 0.001 (0.179)	Loss 2.5425 (2.5134)	Prec@1 41.406 (38.885)	Prec@5 67.969 (68.855)
Epoch: [83][2620/7045]	Time 0.550 (0.241)	Data 0.498 (0.179)	Loss 2.5907 (2.5135)	Prec@1 37.891 (38.886)	Prec@5 67.969 (68.853)
Epoch: [83][2630/7045]	Time 0.099 (0.241)	Data 0.001 (0.178)	Loss 2.4962 (2.5135)	Prec@1 39.453 (38.883)	Prec@5 71.094 (68.856)
Epoch: [83][2640/7045]	Time 0.532 (0.241)	Data 0.480 (0.178)	Loss 2.4534 (2.5135)	Prec@1 39.453 (38.882)	Prec@5 69.922 (68.856)
Epoch: [83][2650/7045]	Time 0.110 (0.241)	Data 0.001 (0.178)	Loss 2.3343 (2.5134)	Prec@1 39.844 (38.879)	Prec@5 73.828 (68.856)
Epoch: [83][2660/7045]	Time 0.657 (0.241)	Data 0.598 (0.178)	Loss 2.3968 (2.5135)	Prec@1 44.141 (38.877)	Prec@5 68.750 (68.853)
Epoch: [83][2670/7045]	Time 0.101 (0.241)	Data 0.001 (0.178)	Loss 2.4516 (2.5134)	Prec@1 38.281 (38.879)	Prec@5 73.047 (68.857)
Epoch: [83][2680/7045]	Time 0.615 (0.241)	Data 0.562 (0.178)	Loss 2.3319 (2.5132)	Prec@1 42.578 (38.886)	Prec@5 69.141 (68.859)
Epoch: [83][2690/7045]	Time 0.112 (0.241)	Data 0.059 (0.178)	Loss 2.5885 (2.5133)	Prec@1 38.672 (38.888)	Prec@5 68.750 (68.856)
Epoch: [83][2700/7045]	Time 0.600 (0.241)	Data 0.549 (0.178)	Loss 2.4743 (2.5133)	Prec@1 40.625 (38.889)	Prec@5 65.234 (68.854)
Epoch: [83][2710/7045]	Time 0.108 (0.241)	Data 0.055 (0.178)	Loss 2.6288 (2.5133)	Prec@1 32.812 (38.887)	Prec@5 67.578 (68.852)
Epoch: [83][2720/7045]	Time 0.602 (0.241)	Data 0.551 (0.178)	Loss 2.5177 (2.5131)	Prec@1 39.844 (38.891)	Prec@5 69.141 (68.859)
Epoch: [83][2730/7045]	Time 0.095 (0.241)	Data 0.001 (0.178)	Loss 2.4144 (2.5130)	Prec@1 44.141 (38.895)	Prec@5 69.922 (68.861)
Epoch: [83][2740/7045]	Time 0.621 (0.241)	Data 0.569 (0.178)	Loss 2.4502 (2.5128)	Prec@1 41.797 (38.901)	Prec@5 67.578 (68.866)
Epoch: [83][2750/7045]	Time 0.102 (0.241)	Data 0.004 (0.178)	Loss 2.6542 (2.5131)	Prec@1 35.547 (38.893)	Prec@5 67.188 (68.863)
Epoch: [83][2760/7045]	Time 0.631 (0.241)	Data 0.571 (0.178)	Loss 2.5789 (2.5131)	Prec@1 40.625 (38.896)	Prec@5 66.406 (68.860)
Epoch: [83][2770/7045]	Time 0.103 (0.241)	Data 0.003 (0.178)	Loss 2.5280 (2.5131)	Prec@1 37.109 (38.894)	Prec@5 71.875 (68.863)
Epoch: [83][2780/7045]	Time 0.603 (0.241)	Data 0.551 (0.178)	Loss 2.4406 (2.5130)	Prec@1 38.672 (38.897)	Prec@5 73.047 (68.865)
Epoch: [83][2790/7045]	Time 0.102 (0.241)	Data 0.049 (0.178)	Loss 2.5238 (2.5130)	Prec@1 37.109 (38.895)	Prec@5 67.969 (68.865)
Epoch: [83][2800/7045]	Time 0.637 (0.241)	Data 0.586 (0.178)	Loss 2.4479 (2.5129)	Prec@1 42.188 (38.899)	Prec@5 71.094 (68.869)
Epoch: [83][2810/7045]	Time 0.102 (0.241)	Data 0.049 (0.178)	Loss 2.5102 (2.5131)	Prec@1 40.234 (38.893)	Prec@5 68.750 (68.865)
Epoch: [83][2820/7045]	Time 0.637 (0.241)	Data 0.579 (0.178)	Loss 2.3547 (2.5131)	Prec@1 40.625 (38.891)	Prec@5 70.703 (68.864)
Epoch: [83][2830/7045]	Time 0.103 (0.241)	Data 0.003 (0.178)	Loss 2.4610 (2.5133)	Prec@1 41.016 (38.891)	Prec@5 71.094 (68.860)
Epoch: [83][2840/7045]	Time 0.510 (0.241)	Data 0.458 (0.178)	Loss 2.5133 (2.5133)	Prec@1 42.188 (38.893)	Prec@5 68.359 (68.860)
Epoch: [83][2850/7045]	Time 0.100 (0.241)	Data 0.046 (0.178)	Loss 2.3829 (2.5132)	Prec@1 42.188 (38.895)	Prec@5 69.922 (68.862)
Epoch: [83][2860/7045]	Time 0.474 (0.241)	Data 0.422 (0.178)	Loss 2.4939 (2.5134)	Prec@1 39.844 (38.893)	Prec@5 67.578 (68.859)
Epoch: [83][2870/7045]	Time 0.103 (0.241)	Data 0.004 (0.178)	Loss 2.4468 (2.5133)	Prec@1 42.969 (38.893)	Prec@5 67.969 (68.857)
Epoch: [83][2880/7045]	Time 0.454 (0.241)	Data 0.401 (0.178)	Loss 2.6192 (2.5134)	Prec@1 33.594 (38.888)	Prec@5 66.016 (68.856)
Epoch: [83][2890/7045]	Time 0.110 (0.241)	Data 0.005 (0.177)	Loss 2.6316 (2.5134)	Prec@1 33.203 (38.885)	Prec@5 65.625 (68.855)
Epoch: [83][2900/7045]	Time 0.449 (0.241)	Data 0.397 (0.178)	Loss 2.5275 (2.5133)	Prec@1 37.891 (38.884)	Prec@5 68.750 (68.856)
Epoch: [83][2910/7045]	Time 0.153 (0.241)	Data 0.095 (0.177)	Loss 2.4333 (2.5134)	Prec@1 40.625 (38.886)	Prec@5 66.406 (68.851)
Epoch: [83][2920/7045]	Time 0.420 (0.241)	Data 0.368 (0.178)	Loss 2.4545 (2.5133)	Prec@1 39.844 (38.888)	Prec@5 71.875 (68.854)
Epoch: [83][2930/7045]	Time 0.119 (0.241)	Data 0.068 (0.178)	Loss 2.5191 (2.5132)	Prec@1 36.328 (38.890)	Prec@5 67.188 (68.854)
Epoch: [83][2940/7045]	Time 0.354 (0.241)	Data 0.303 (0.178)	Loss 2.6695 (2.5133)	Prec@1 37.891 (38.889)	Prec@5 66.797 (68.854)
Epoch: [83][2950/7045]	Time 0.160 (0.241)	Data 0.107 (0.178)	Loss 2.5285 (2.5131)	Prec@1 35.156 (38.891)	Prec@5 68.359 (68.856)
Epoch: [83][2960/7045]	Time 0.340 (0.241)	Data 0.289 (0.178)	Loss 2.3943 (2.5129)	Prec@1 42.188 (38.893)	Prec@5 69.922 (68.863)
Epoch: [83][2970/7045]	Time 0.259 (0.241)	Data 0.199 (0.178)	Loss 2.2607 (2.5128)	Prec@1 44.141 (38.897)	Prec@5 72.266 (68.864)
Epoch: [83][2980/7045]	Time 0.270 (0.241)	Data 0.218 (0.178)	Loss 2.4079 (2.5130)	Prec@1 39.844 (38.900)	Prec@5 68.750 (68.859)
Epoch: [83][2990/7045]	Time 0.271 (0.241)	Data 0.219 (0.178)	Loss 2.3641 (2.5129)	Prec@1 39.062 (38.902)	Prec@5 69.922 (68.858)
Epoch: [83][3000/7045]	Time 0.242 (0.241)	Data 0.190 (0.178)	Loss 2.4716 (2.5127)	Prec@1 37.500 (38.903)	Prec@5 69.531 (68.864)
Epoch: [83][3010/7045]	Time 0.362 (0.241)	Data 0.303 (0.178)	Loss 2.5593 (2.5128)	Prec@1 39.453 (38.903)	Prec@5 67.578 (68.862)
Epoch: [83][3020/7045]	Time 0.111 (0.241)	Data 0.058 (0.178)	Loss 2.6919 (2.5128)	Prec@1 35.156 (38.901)	Prec@5 67.578 (68.863)
Epoch: [83][3030/7045]	Time 0.424 (0.241)	Data 0.372 (0.178)	Loss 2.6194 (2.5126)	Prec@1 38.672 (38.903)	Prec@5 69.141 (68.868)
Epoch: [83][3040/7045]	Time 0.102 (0.241)	Data 0.004 (0.178)	Loss 2.3236 (2.5128)	Prec@1 36.719 (38.900)	Prec@5 74.219 (68.867)
Epoch: [83][3050/7045]	Time 0.400 (0.241)	Data 0.348 (0.178)	Loss 2.2779 (2.5128)	Prec@1 41.016 (38.897)	Prec@5 70.312 (68.865)
Epoch: [83][3060/7045]	Time 0.102 (0.241)	Data 0.006 (0.178)	Loss 2.3546 (2.5129)	Prec@1 42.969 (38.895)	Prec@5 73.047 (68.863)
Epoch: [83][3070/7045]	Time 0.435 (0.241)	Data 0.384 (0.178)	Loss 2.6501 (2.5131)	Prec@1 37.500 (38.893)	Prec@5 67.578 (68.862)
Epoch: [83][3080/7045]	Time 0.108 (0.241)	Data 0.054 (0.178)	Loss 2.8428 (2.5132)	Prec@1 33.594 (38.890)	Prec@5 58.203 (68.857)
Epoch: [83][3090/7045]	Time 0.490 (0.241)	Data 0.438 (0.178)	Loss 2.4610 (2.5132)	Prec@1 39.453 (38.891)	Prec@5 69.922 (68.858)
Epoch: [83][3100/7045]	Time 0.106 (0.241)	Data 0.052 (0.178)	Loss 2.4307 (2.5131)	Prec@1 39.844 (38.893)	Prec@5 69.141 (68.857)
Epoch: [83][3110/7045]	Time 0.543 (0.241)	Data 0.484 (0.178)	Loss 2.5699 (2.5131)	Prec@1 39.062 (38.894)	Prec@5 63.672 (68.854)
Epoch: [83][3120/7045]	Time 0.102 (0.241)	Data 0.001 (0.178)	Loss 2.4427 (2.5131)	Prec@1 38.672 (38.896)	Prec@5 69.922 (68.852)
Epoch: [83][3130/7045]	Time 0.480 (0.241)	Data 0.428 (0.178)	Loss 2.6656 (2.5133)	Prec@1 35.547 (38.894)	Prec@5 66.016 (68.847)
Epoch: [83][3140/7045]	Time 0.102 (0.241)	Data 0.043 (0.178)	Loss 2.5753 (2.5133)	Prec@1 34.766 (38.892)	Prec@5 66.797 (68.847)
Epoch: [83][3150/7045]	Time 0.423 (0.241)	Data 0.371 (0.178)	Loss 2.6061 (2.5134)	Prec@1 33.984 (38.887)	Prec@5 66.797 (68.847)
Epoch: [83][3160/7045]	Time 0.103 (0.241)	Data 0.001 (0.178)	Loss 2.3586 (2.5133)	Prec@1 42.578 (38.886)	Prec@5 68.359 (68.849)
Epoch: [83][3170/7045]	Time 0.517 (0.241)	Data 0.464 (0.178)	Loss 2.5255 (2.5134)	Prec@1 39.062 (38.881)	Prec@5 67.578 (68.848)
Epoch: [83][3180/7045]	Time 0.108 (0.241)	Data 0.006 (0.178)	Loss 2.5483 (2.5134)	Prec@1 36.328 (38.884)	Prec@5 68.750 (68.847)
Epoch: [83][3190/7045]	Time 0.429 (0.241)	Data 0.377 (0.178)	Loss 2.5692 (2.5134)	Prec@1 33.203 (38.882)	Prec@5 67.188 (68.849)
Epoch: [83][3200/7045]	Time 0.109 (0.241)	Data 0.003 (0.178)	Loss 2.3520 (2.5134)	Prec@1 40.625 (38.881)	Prec@5 71.484 (68.848)
Epoch: [83][3210/7045]	Time 0.529 (0.241)	Data 0.476 (0.178)	Loss 2.2558 (2.5133)	Prec@1 42.969 (38.880)	Prec@5 72.266 (68.845)
Epoch: [83][3220/7045]	Time 0.102 (0.241)	Data 0.002 (0.178)	Loss 2.4557 (2.5134)	Prec@1 37.500 (38.878)	Prec@5 69.141 (68.841)
Epoch: [83][3230/7045]	Time 0.428 (0.241)	Data 0.376 (0.178)	Loss 2.5296 (2.5137)	Prec@1 37.891 (38.877)	Prec@5 70.312 (68.834)
Epoch: [83][3240/7045]	Time 0.102 (0.241)	Data 0.042 (0.178)	Loss 2.5147 (2.5135)	Prec@1 40.625 (38.879)	Prec@5 67.969 (68.834)
Epoch: [83][3250/7045]	Time 0.378 (0.241)	Data 0.326 (0.178)	Loss 2.4619 (2.5135)	Prec@1 44.141 (38.883)	Prec@5 69.141 (68.835)
Epoch: [83][3260/7045]	Time 0.170 (0.241)	Data 0.117 (0.178)	Loss 2.5009 (2.5135)	Prec@1 38.672 (38.882)	Prec@5 70.312 (68.835)
Epoch: [83][3270/7045]	Time 0.389 (0.241)	Data 0.337 (0.178)	Loss 2.5624 (2.5135)	Prec@1 39.062 (38.881)	Prec@5 69.531 (68.835)
Epoch: [83][3280/7045]	Time 0.142 (0.241)	Data 0.090 (0.178)	Loss 2.5135 (2.5135)	Prec@1 38.281 (38.879)	Prec@5 68.359 (68.834)
Epoch: [83][3290/7045]	Time 0.382 (0.241)	Data 0.330 (0.178)	Loss 2.6437 (2.5138)	Prec@1 36.328 (38.875)	Prec@5 65.234 (68.828)
Epoch: [83][3300/7045]	Time 0.141 (0.241)	Data 0.088 (0.178)	Loss 2.4932 (2.5137)	Prec@1 36.328 (38.871)	Prec@5 68.750 (68.835)
Epoch: [83][3310/7045]	Time 0.363 (0.241)	Data 0.311 (0.178)	Loss 2.4569 (2.5139)	Prec@1 40.625 (38.868)	Prec@5 66.016 (68.833)
Epoch: [83][3320/7045]	Time 0.293 (0.241)	Data 0.241 (0.178)	Loss 2.5193 (2.5139)	Prec@1 36.719 (38.864)	Prec@5 67.969 (68.833)
Epoch: [83][3330/7045]	Time 0.272 (0.241)	Data 0.220 (0.178)	Loss 2.6907 (2.5141)	Prec@1 37.109 (38.861)	Prec@5 66.797 (68.833)
Epoch: [83][3340/7045]	Time 0.258 (0.241)	Data 0.199 (0.178)	Loss 2.4550 (2.5142)	Prec@1 40.625 (38.858)	Prec@5 69.531 (68.832)
Epoch: [83][3350/7045]	Time 0.214 (0.241)	Data 0.162 (0.178)	Loss 2.5498 (2.5140)	Prec@1 40.234 (38.861)	Prec@5 67.188 (68.836)
Epoch: [83][3360/7045]	Time 0.233 (0.241)	Data 0.181 (0.178)	Loss 2.8107 (2.5143)	Prec@1 35.938 (38.855)	Prec@5 62.891 (68.832)
Epoch: [83][3370/7045]	Time 0.234 (0.241)	Data 0.182 (0.178)	Loss 2.3596 (2.5140)	Prec@1 42.578 (38.861)	Prec@5 72.656 (68.835)
Epoch: [83][3380/7045]	Time 0.167 (0.241)	Data 0.116 (0.178)	Loss 2.6477 (2.5143)	Prec@1 36.328 (38.855)	Prec@5 66.406 (68.830)
Epoch: [83][3390/7045]	Time 0.161 (0.241)	Data 0.109 (0.178)	Loss 2.4405 (2.5144)	Prec@1 39.062 (38.852)	Prec@5 71.875 (68.830)
Epoch: [83][3400/7045]	Time 0.109 (0.241)	Data 0.013 (0.178)	Loss 2.5063 (2.5144)	Prec@1 36.328 (38.852)	Prec@5 70.703 (68.830)
Epoch: [83][3410/7045]	Time 0.102 (0.241)	Data 0.006 (0.178)	Loss 2.5568 (2.5145)	Prec@1 38.281 (38.849)	Prec@5 67.188 (68.830)
Epoch: [83][3420/7045]	Time 0.101 (0.241)	Data 0.001 (0.178)	Loss 2.6750 (2.5145)	Prec@1 39.062 (38.853)	Prec@5 63.672 (68.831)
Epoch: [83][3430/7045]	Time 0.102 (0.241)	Data 0.004 (0.178)	Loss 2.5333 (2.5145)	Prec@1 37.891 (38.852)	Prec@5 70.312 (68.833)
Epoch: [83][3440/7045]	Time 0.108 (0.241)	Data 0.055 (0.178)	Loss 2.3224 (2.5144)	Prec@1 42.578 (38.854)	Prec@5 71.875 (68.828)
Epoch: [83][3450/7045]	Time 0.102 (0.241)	Data 0.002 (0.178)	Loss 2.4855 (2.5144)	Prec@1 37.109 (38.856)	Prec@5 69.531 (68.827)
Epoch: [83][3460/7045]	Time 0.175 (0.241)	Data 0.122 (0.178)	Loss 2.4014 (2.5143)	Prec@1 39.062 (38.856)	Prec@5 69.922 (68.830)
Epoch: [83][3470/7045]	Time 0.102 (0.241)	Data 0.004 (0.178)	Loss 2.5709 (2.5143)	Prec@1 38.672 (38.856)	Prec@5 69.531 (68.833)
Epoch: [83][3480/7045]	Time 0.252 (0.241)	Data 0.200 (0.178)	Loss 2.6027 (2.5144)	Prec@1 35.547 (38.858)	Prec@5 64.453 (68.830)
Epoch: [83][3490/7045]	Time 0.102 (0.241)	Data 0.006 (0.178)	Loss 2.5207 (2.5144)	Prec@1 39.062 (38.856)	Prec@5 68.750 (68.831)
Epoch: [83][3500/7045]	Time 0.390 (0.241)	Data 0.339 (0.178)	Loss 2.3607 (2.5143)	Prec@1 44.141 (38.861)	Prec@5 71.484 (68.832)
Epoch: [83][3510/7045]	Time 0.102 (0.241)	Data 0.001 (0.178)	Loss 2.3536 (2.5141)	Prec@1 42.188 (38.861)	Prec@5 71.875 (68.835)
Epoch: [83][3520/7045]	Time 0.410 (0.241)	Data 0.359 (0.178)	Loss 2.5382 (2.5143)	Prec@1 41.797 (38.863)	Prec@5 67.188 (68.831)
Epoch: [83][3530/7045]	Time 0.102 (0.241)	Data 0.001 (0.178)	Loss 2.5512 (2.5144)	Prec@1 39.844 (38.864)	Prec@5 70.312 (68.830)
Epoch: [83][3540/7045]	Time 0.383 (0.241)	Data 0.332 (0.178)	Loss 2.7196 (2.5144)	Prec@1 32.031 (38.860)	Prec@5 69.141 (68.828)
Epoch: [83][3550/7045]	Time 0.101 (0.241)	Data 0.001 (0.178)	Loss 2.4644 (2.5146)	Prec@1 37.891 (38.861)	Prec@5 68.750 (68.825)
Epoch: [83][3560/7045]	Time 0.405 (0.241)	Data 0.352 (0.178)	Loss 2.2892 (2.5145)	Prec@1 38.672 (38.864)	Prec@5 71.875 (68.827)
Epoch: [83][3570/7045]	Time 0.102 (0.241)	Data 0.001 (0.178)	Loss 2.5892 (2.5143)	Prec@1 35.547 (38.863)	Prec@5 66.016 (68.829)
Epoch: [83][3580/7045]	Time 0.344 (0.241)	Data 0.292 (0.178)	Loss 2.5259 (2.5144)	Prec@1 36.328 (38.860)	Prec@5 68.750 (68.828)
Epoch: [83][3590/7045]	Time 0.102 (0.241)	Data 0.049 (0.178)	Loss 2.3592 (2.5145)	Prec@1 37.891 (38.858)	Prec@5 73.438 (68.827)
Epoch: [83][3600/7045]	Time 0.383 (0.241)	Data 0.332 (0.178)	Loss 2.4130 (2.5145)	Prec@1 41.406 (38.857)	Prec@5 71.484 (68.824)
Epoch: [83][3610/7045]	Time 0.102 (0.241)	Data 0.006 (0.178)	Loss 2.5069 (2.5147)	Prec@1 42.188 (38.857)	Prec@5 71.094 (68.821)
Epoch: [83][3620/7045]	Time 0.434 (0.241)	Data 0.382 (0.178)	Loss 2.6324 (2.5147)	Prec@1 33.984 (38.859)	Prec@5 66.797 (68.820)
Epoch: [83][3630/7045]	Time 0.108 (0.241)	Data 0.056 (0.178)	Loss 2.5520 (2.5147)	Prec@1 38.281 (38.857)	Prec@5 68.750 (68.821)
Epoch: [83][3640/7045]	Time 0.495 (0.241)	Data 0.443 (0.178)	Loss 2.4400 (2.5147)	Prec@1 42.578 (38.858)	Prec@5 67.578 (68.822)
Epoch: [83][3650/7045]	Time 0.283 (0.241)	Data 0.231 (0.178)	Loss 2.4114 (2.5146)	Prec@1 41.797 (38.861)	Prec@5 68.359 (68.822)
Epoch: [83][3660/7045]	Time 0.527 (0.241)	Data 0.475 (0.178)	Loss 2.5253 (2.5148)	Prec@1 42.578 (38.858)	Prec@5 65.625 (68.816)
Epoch: [83][3670/7045]	Time 0.203 (0.241)	Data 0.151 (0.178)	Loss 2.5501 (2.5149)	Prec@1 41.016 (38.856)	Prec@5 66.797 (68.815)
Epoch: [83][3680/7045]	Time 0.501 (0.241)	Data 0.450 (0.178)	Loss 2.6677 (2.5149)	Prec@1 39.062 (38.858)	Prec@5 64.844 (68.812)
Epoch: [83][3690/7045]	Time 0.271 (0.241)	Data 0.219 (0.178)	Loss 2.6598 (2.5149)	Prec@1 35.938 (38.855)	Prec@5 65.234 (68.811)
Epoch: [83][3700/7045]	Time 0.447 (0.241)	Data 0.395 (0.178)	Loss 2.3034 (2.5149)	Prec@1 43.359 (38.852)	Prec@5 74.609 (68.811)
Epoch: [83][3710/7045]	Time 0.243 (0.241)	Data 0.191 (0.178)	Loss 2.4153 (2.5149)	Prec@1 42.578 (38.854)	Prec@5 71.484 (68.811)
Epoch: [83][3720/7045]	Time 0.379 (0.241)	Data 0.327 (0.178)	Loss 2.6584 (2.5150)	Prec@1 32.422 (38.850)	Prec@5 69.141 (68.808)
Epoch: [83][3730/7045]	Time 0.345 (0.241)	Data 0.292 (0.178)	Loss 2.4684 (2.5150)	Prec@1 41.797 (38.853)	Prec@5 65.625 (68.807)
Epoch: [83][3740/7045]	Time 0.333 (0.241)	Data 0.283 (0.178)	Loss 2.3111 (2.5148)	Prec@1 38.672 (38.855)	Prec@5 77.344 (68.810)
Epoch: [83][3750/7045]	Time 0.390 (0.241)	Data 0.338 (0.178)	Loss 2.5851 (2.5150)	Prec@1 37.109 (38.852)	Prec@5 66.016 (68.809)
Epoch: [83][3760/7045]	Time 0.346 (0.241)	Data 0.295 (0.178)	Loss 2.4443 (2.5150)	Prec@1 41.406 (38.853)	Prec@5 69.531 (68.807)
Epoch: [83][3770/7045]	Time 0.372 (0.241)	Data 0.312 (0.178)	Loss 2.5121 (2.5149)	Prec@1 38.281 (38.854)	Prec@5 69.531 (68.808)
Epoch: [83][3780/7045]	Time 0.347 (0.241)	Data 0.289 (0.178)	Loss 2.4764 (2.5150)	Prec@1 35.547 (38.851)	Prec@5 69.922 (68.807)
Epoch: [83][3790/7045]	Time 0.443 (0.241)	Data 0.385 (0.178)	Loss 2.4338 (2.5150)	Prec@1 40.625 (38.848)	Prec@5 69.922 (68.805)
Epoch: [83][3800/7045]	Time 0.378 (0.241)	Data 0.327 (0.178)	Loss 2.3870 (2.5150)	Prec@1 42.188 (38.847)	Prec@5 70.703 (68.805)
Epoch: [83][3810/7045]	Time 0.402 (0.241)	Data 0.350 (0.178)	Loss 2.4861 (2.5148)	Prec@1 40.625 (38.857)	Prec@5 69.531 (68.810)
Epoch: [83][3820/7045]	Time 0.350 (0.241)	Data 0.299 (0.178)	Loss 2.3657 (2.5148)	Prec@1 41.016 (38.859)	Prec@5 72.266 (68.809)
Epoch: [83][3830/7045]	Time 0.432 (0.241)	Data 0.380 (0.178)	Loss 2.4431 (2.5147)	Prec@1 39.453 (38.859)	Prec@5 71.484 (68.811)
Epoch: [83][3840/7045]	Time 0.212 (0.241)	Data 0.161 (0.178)	Loss 2.4009 (2.5147)	Prec@1 39.062 (38.860)	Prec@5 69.531 (68.812)
Epoch: [83][3850/7045]	Time 0.583 (0.241)	Data 0.531 (0.178)	Loss 2.4659 (2.5147)	Prec@1 37.500 (38.863)	Prec@5 69.141 (68.811)
Epoch: [83][3860/7045]	Time 0.253 (0.241)	Data 0.201 (0.178)	Loss 2.6191 (2.5148)	Prec@1 37.500 (38.863)	Prec@5 66.016 (68.808)
Epoch: [83][3870/7045]	Time 0.541 (0.241)	Data 0.490 (0.178)	Loss 2.4672 (2.5148)	Prec@1 39.453 (38.860)	Prec@5 69.531 (68.807)
Epoch: [83][3880/7045]	Time 0.194 (0.241)	Data 0.142 (0.178)	Loss 2.5034 (2.5148)	Prec@1 39.062 (38.860)	Prec@5 67.578 (68.808)
Epoch: [83][3890/7045]	Time 0.558 (0.241)	Data 0.506 (0.178)	Loss 2.3424 (2.5149)	Prec@1 42.969 (38.860)	Prec@5 74.609 (68.809)
Epoch: [83][3900/7045]	Time 0.118 (0.241)	Data 0.059 (0.178)	Loss 2.5569 (2.5147)	Prec@1 35.156 (38.862)	Prec@5 68.750 (68.812)
Epoch: [83][3910/7045]	Time 0.582 (0.241)	Data 0.522 (0.178)	Loss 2.5526 (2.5148)	Prec@1 37.891 (38.861)	Prec@5 66.797 (68.808)
Epoch: [83][3920/7045]	Time 0.194 (0.241)	Data 0.142 (0.178)	Loss 2.4553 (2.5147)	Prec@1 43.359 (38.862)	Prec@5 66.406 (68.808)
Epoch: [83][3930/7045]	Time 0.559 (0.241)	Data 0.506 (0.178)	Loss 2.5666 (2.5146)	Prec@1 35.156 (38.863)	Prec@5 68.359 (68.810)
Epoch: [83][3940/7045]	Time 0.220 (0.241)	Data 0.161 (0.178)	Loss 2.5347 (2.5146)	Prec@1 38.672 (38.865)	Prec@5 68.359 (68.811)
Epoch: [83][3950/7045]	Time 0.517 (0.241)	Data 0.464 (0.178)	Loss 2.4864 (2.5144)	Prec@1 40.625 (38.866)	Prec@5 69.531 (68.813)
Epoch: [83][3960/7045]	Time 0.142 (0.241)	Data 0.090 (0.178)	Loss 2.4586 (2.5144)	Prec@1 42.969 (38.870)	Prec@5 70.703 (68.814)
Epoch: [83][3970/7045]	Time 0.575 (0.241)	Data 0.523 (0.178)	Loss 2.7540 (2.5144)	Prec@1 32.422 (38.873)	Prec@5 63.672 (68.815)
Epoch: [83][3980/7045]	Time 0.151 (0.241)	Data 0.098 (0.178)	Loss 2.5258 (2.5144)	Prec@1 40.234 (38.873)	Prec@5 68.750 (68.813)
Epoch: [83][3990/7045]	Time 0.529 (0.241)	Data 0.478 (0.178)	Loss 2.4729 (2.5143)	Prec@1 39.844 (38.875)	Prec@5 69.922 (68.816)
Epoch: [83][4000/7045]	Time 0.102 (0.241)	Data 0.002 (0.178)	Loss 2.6030 (2.5143)	Prec@1 34.375 (38.877)	Prec@5 69.922 (68.816)
Epoch: [83][4010/7045]	Time 0.415 (0.241)	Data 0.363 (0.178)	Loss 2.5741 (2.5143)	Prec@1 38.281 (38.875)	Prec@5 66.797 (68.813)
Epoch: [83][4020/7045]	Time 0.102 (0.241)	Data 0.004 (0.178)	Loss 2.7276 (2.5144)	Prec@1 37.109 (38.873)	Prec@5 66.797 (68.812)
Epoch: [83][4030/7045]	Time 0.362 (0.241)	Data 0.311 (0.178)	Loss 2.7073 (2.5142)	Prec@1 37.109 (38.875)	Prec@5 64.453 (68.818)
Epoch: [83][4040/7045]	Time 0.103 (0.240)	Data 0.005 (0.178)	Loss 2.4651 (2.5141)	Prec@1 35.938 (38.876)	Prec@5 69.922 (68.817)
Epoch: [83][4050/7045]	Time 0.318 (0.241)	Data 0.267 (0.178)	Loss 2.3540 (2.5139)	Prec@1 42.578 (38.881)	Prec@5 71.094 (68.821)
Epoch: [83][4060/7045]	Time 0.107 (0.240)	Data 0.054 (0.178)	Loss 2.4165 (2.5137)	Prec@1 41.016 (38.881)	Prec@5 72.656 (68.825)
Epoch: [83][4070/7045]	Time 0.339 (0.241)	Data 0.286 (0.178)	Loss 2.5841 (2.5138)	Prec@1 40.625 (38.879)	Prec@5 66.016 (68.828)
Epoch: [83][4080/7045]	Time 0.175 (0.240)	Data 0.121 (0.178)	Loss 2.4776 (2.5138)	Prec@1 39.844 (38.877)	Prec@5 67.578 (68.827)
Epoch: [83][4090/7045]	Time 0.274 (0.241)	Data 0.216 (0.178)	Loss 2.4678 (2.5138)	Prec@1 40.234 (38.876)	Prec@5 73.047 (68.829)
Epoch: [83][4100/7045]	Time 0.176 (0.240)	Data 0.124 (0.178)	Loss 2.4557 (2.5139)	Prec@1 39.062 (38.872)	Prec@5 71.875 (68.828)
Epoch: [83][4110/7045]	Time 0.215 (0.241)	Data 0.163 (0.178)	Loss 2.6293 (2.5140)	Prec@1 38.281 (38.871)	Prec@5 66.406 (68.825)
Epoch: [83][4120/7045]	Time 0.262 (0.240)	Data 0.211 (0.178)	Loss 2.6892 (2.5141)	Prec@1 31.641 (38.868)	Prec@5 62.891 (68.822)
Epoch: [83][4130/7045]	Time 0.222 (0.240)	Data 0.166 (0.178)	Loss 2.5582 (2.5141)	Prec@1 39.453 (38.867)	Prec@5 67.578 (68.822)
Epoch: [83][4140/7045]	Time 0.388 (0.240)	Data 0.335 (0.178)	Loss 2.5237 (2.5140)	Prec@1 40.234 (38.870)	Prec@5 67.969 (68.824)
Epoch: [83][4150/7045]	Time 0.178 (0.240)	Data 0.127 (0.178)	Loss 2.5837 (2.5139)	Prec@1 37.891 (38.873)	Prec@5 68.750 (68.826)
Epoch: [83][4160/7045]	Time 0.361 (0.240)	Data 0.309 (0.178)	Loss 2.3948 (2.5138)	Prec@1 43.750 (38.875)	Prec@5 69.531 (68.830)
Epoch: [83][4170/7045]	Time 0.127 (0.240)	Data 0.075 (0.178)	Loss 2.4920 (2.5138)	Prec@1 39.062 (38.874)	Prec@5 70.312 (68.833)
Epoch: [83][4180/7045]	Time 0.408 (0.240)	Data 0.357 (0.178)	Loss 2.5523 (2.5137)	Prec@1 35.938 (38.873)	Prec@5 66.797 (68.832)
Epoch: [83][4190/7045]	Time 0.112 (0.240)	Data 0.060 (0.178)	Loss 2.6803 (2.5138)	Prec@1 37.109 (38.873)	Prec@5 66.016 (68.830)
Epoch: [83][4200/7045]	Time 0.518 (0.240)	Data 0.466 (0.178)	Loss 2.4076 (2.5136)	Prec@1 37.500 (38.876)	Prec@5 73.047 (68.834)
Epoch: [83][4210/7045]	Time 0.103 (0.240)	Data 0.006 (0.178)	Loss 2.6879 (2.5136)	Prec@1 33.203 (38.877)	Prec@5 65.234 (68.836)
Epoch: [83][4220/7045]	Time 0.436 (0.240)	Data 0.383 (0.178)	Loss 2.4753 (2.5135)	Prec@1 36.719 (38.876)	Prec@5 69.922 (68.837)
Epoch: [83][4230/7045]	Time 0.102 (0.240)	Data 0.001 (0.178)	Loss 2.6117 (2.5134)	Prec@1 37.500 (38.879)	Prec@5 66.016 (68.840)
Epoch: [83][4240/7045]	Time 0.460 (0.240)	Data 0.408 (0.178)	Loss 2.8428 (2.5134)	Prec@1 32.422 (38.880)	Prec@5 62.891 (68.840)
Epoch: [83][4250/7045]	Time 0.102 (0.240)	Data 0.006 (0.178)	Loss 2.5323 (2.5135)	Prec@1 37.109 (38.877)	Prec@5 66.797 (68.840)
Epoch: [83][4260/7045]	Time 0.563 (0.240)	Data 0.504 (0.178)	Loss 2.5178 (2.5136)	Prec@1 36.719 (38.879)	Prec@5 68.750 (68.838)
Epoch: [83][4270/7045]	Time 0.102 (0.240)	Data 0.005 (0.178)	Loss 2.3393 (2.5137)	Prec@1 39.844 (38.878)	Prec@5 75.391 (68.833)
Epoch: [83][4280/7045]	Time 0.682 (0.241)	Data 0.630 (0.178)	Loss 2.4423 (2.5138)	Prec@1 41.406 (38.875)	Prec@5 66.016 (68.831)
Epoch: [83][4290/7045]	Time 0.109 (0.240)	Data 0.001 (0.178)	Loss 2.4903 (2.5139)	Prec@1 39.844 (38.871)	Prec@5 68.359 (68.829)
Epoch: [83][4300/7045]	Time 0.617 (0.240)	Data 0.566 (0.178)	Loss 2.6254 (2.5139)	Prec@1 41.016 (38.872)	Prec@5 65.625 (68.828)
Epoch: [83][4310/7045]	Time 0.109 (0.240)	Data 0.001 (0.178)	Loss 2.5769 (2.5138)	Prec@1 36.328 (38.873)	Prec@5 64.844 (68.828)
Epoch: [83][4320/7045]	Time 0.707 (0.240)	Data 0.653 (0.178)	Loss 2.6295 (2.5139)	Prec@1 37.109 (38.872)	Prec@5 66.797 (68.826)
Epoch: [83][4330/7045]	Time 0.110 (0.240)	Data 0.058 (0.178)	Loss 2.5965 (2.5139)	Prec@1 37.109 (38.871)	Prec@5 69.531 (68.826)
Epoch: [83][4340/7045]	Time 0.650 (0.240)	Data 0.591 (0.178)	Loss 2.3969 (2.5138)	Prec@1 42.578 (38.875)	Prec@5 69.141 (68.828)
Epoch: [83][4350/7045]	Time 0.108 (0.240)	Data 0.056 (0.178)	Loss 2.4789 (2.5138)	Prec@1 36.719 (38.875)	Prec@5 70.312 (68.831)
Epoch: [83][4360/7045]	Time 0.637 (0.240)	Data 0.584 (0.178)	Loss 2.4599 (2.5140)	Prec@1 42.578 (38.870)	Prec@5 67.188 (68.826)
Epoch: [83][4370/7045]	Time 0.101 (0.240)	Data 0.048 (0.178)	Loss 2.5077 (2.5140)	Prec@1 36.719 (38.869)	Prec@5 69.922 (68.827)
Epoch: [83][4380/7045]	Time 0.616 (0.240)	Data 0.563 (0.178)	Loss 2.3588 (2.5139)	Prec@1 40.625 (38.871)	Prec@5 71.875 (68.829)
Epoch: [83][4390/7045]	Time 0.102 (0.240)	Data 0.002 (0.178)	Loss 2.5322 (2.5139)	Prec@1 35.938 (38.867)	Prec@5 69.141 (68.828)
Epoch: [83][4400/7045]	Time 0.542 (0.240)	Data 0.491 (0.178)	Loss 2.5769 (2.5139)	Prec@1 39.844 (38.867)	Prec@5 69.922 (68.829)
Epoch: [83][4410/7045]	Time 0.102 (0.240)	Data 0.001 (0.178)	Loss 2.4223 (2.5139)	Prec@1 42.969 (38.866)	Prec@5 71.094 (68.827)
Epoch: [83][4420/7045]	Time 0.496 (0.240)	Data 0.443 (0.178)	Loss 2.4196 (2.5138)	Prec@1 42.578 (38.867)	Prec@5 69.141 (68.829)
Epoch: [83][4430/7045]	Time 0.109 (0.240)	Data 0.057 (0.177)	Loss 2.6592 (2.5137)	Prec@1 40.234 (38.868)	Prec@5 66.797 (68.831)
Epoch: [83][4440/7045]	Time 0.438 (0.240)	Data 0.386 (0.178)	Loss 2.4604 (2.5136)	Prec@1 39.453 (38.871)	Prec@5 69.141 (68.832)
Epoch: [83][4450/7045]	Time 0.128 (0.240)	Data 0.075 (0.177)	Loss 2.7431 (2.5137)	Prec@1 35.156 (38.874)	Prec@5 66.797 (68.831)
Epoch: [83][4460/7045]	Time 0.308 (0.240)	Data 0.256 (0.178)	Loss 2.6404 (2.5137)	Prec@1 37.500 (38.870)	Prec@5 68.359 (68.831)
Epoch: [83][4470/7045]	Time 0.111 (0.240)	Data 0.058 (0.177)	Loss 2.5617 (2.5136)	Prec@1 38.672 (38.870)	Prec@5 68.359 (68.834)
Epoch: [83][4480/7045]	Time 0.263 (0.240)	Data 0.211 (0.178)	Loss 2.6454 (2.5138)	Prec@1 35.156 (38.867)	Prec@5 65.234 (68.832)
Epoch: [83][4490/7045]	Time 0.102 (0.240)	Data 0.048 (0.177)	Loss 2.3957 (2.5138)	Prec@1 42.188 (38.867)	Prec@5 72.266 (68.832)
Epoch: [83][4500/7045]	Time 0.204 (0.240)	Data 0.145 (0.178)	Loss 2.8071 (2.5140)	Prec@1 35.156 (38.863)	Prec@5 60.938 (68.826)
Epoch: [83][4510/7045]	Time 0.102 (0.240)	Data 0.003 (0.177)	Loss 2.6802 (2.5141)	Prec@1 35.938 (38.859)	Prec@5 64.844 (68.824)
Epoch: [83][4520/7045]	Time 0.106 (0.240)	Data 0.052 (0.178)	Loss 2.3550 (2.5141)	Prec@1 44.922 (38.859)	Prec@5 70.312 (68.823)
Epoch: [83][4530/7045]	Time 0.109 (0.240)	Data 0.056 (0.177)	Loss 2.6157 (2.5142)	Prec@1 34.766 (38.855)	Prec@5 67.188 (68.819)
Epoch: [83][4540/7045]	Time 0.108 (0.240)	Data 0.006 (0.177)	Loss 2.4175 (2.5140)	Prec@1 41.797 (38.858)	Prec@5 71.094 (68.824)
Epoch: [83][4550/7045]	Time 0.106 (0.240)	Data 0.053 (0.177)	Loss 2.5850 (2.5140)	Prec@1 37.891 (38.858)	Prec@5 65.625 (68.823)
Epoch: [83][4560/7045]	Time 0.101 (0.240)	Data 0.004 (0.177)	Loss 2.3038 (2.5139)	Prec@1 42.969 (38.859)	Prec@5 71.094 (68.825)
Epoch: [83][4570/7045]	Time 0.108 (0.240)	Data 0.055 (0.177)	Loss 2.6818 (2.5140)	Prec@1 38.281 (38.857)	Prec@5 66.406 (68.824)
Epoch: [83][4580/7045]	Time 0.103 (0.240)	Data 0.004 (0.177)	Loss 2.5845 (2.5141)	Prec@1 37.500 (38.857)	Prec@5 68.750 (68.822)
Epoch: [83][4590/7045]	Time 0.101 (0.240)	Data 0.002 (0.177)	Loss 2.4298 (2.5140)	Prec@1 37.891 (38.859)	Prec@5 68.359 (68.823)
Epoch: [83][4600/7045]	Time 0.102 (0.240)	Data 0.046 (0.177)	Loss 2.6367 (2.5140)	Prec@1 38.281 (38.860)	Prec@5 64.844 (68.825)
Epoch: [83][4610/7045]	Time 0.102 (0.240)	Data 0.001 (0.177)	Loss 2.4542 (2.5141)	Prec@1 36.719 (38.861)	Prec@5 73.828 (68.823)
Epoch: [83][4620/7045]	Time 0.226 (0.240)	Data 0.169 (0.177)	Loss 2.4999 (2.5141)	Prec@1 37.891 (38.861)	Prec@5 67.578 (68.823)
Epoch: [83][4630/7045]	Time 0.102 (0.240)	Data 0.001 (0.177)	Loss 2.6064 (2.5142)	Prec@1 36.328 (38.862)	Prec@5 66.016 (68.823)
Epoch: [83][4640/7045]	Time 0.244 (0.240)	Data 0.191 (0.177)	Loss 2.5333 (2.5142)	Prec@1 37.500 (38.863)	Prec@5 70.703 (68.823)
Epoch: [83][4650/7045]	Time 0.102 (0.240)	Data 0.001 (0.177)	Loss 2.8017 (2.5142)	Prec@1 31.641 (38.863)	Prec@5 66.016 (68.824)
Epoch: [83][4660/7045]	Time 0.367 (0.240)	Data 0.315 (0.177)	Loss 2.5494 (2.5142)	Prec@1 36.328 (38.865)	Prec@5 70.703 (68.826)
Epoch: [83][4670/7045]	Time 0.103 (0.240)	Data 0.001 (0.177)	Loss 2.4246 (2.5142)	Prec@1 42.188 (38.867)	Prec@5 71.094 (68.827)
Epoch: [83][4680/7045]	Time 0.312 (0.240)	Data 0.252 (0.177)	Loss 2.6277 (2.5143)	Prec@1 33.984 (38.865)	Prec@5 65.234 (68.824)
Epoch: [83][4690/7045]	Time 0.106 (0.240)	Data 0.053 (0.177)	Loss 2.5875 (2.5143)	Prec@1 41.016 (38.866)	Prec@5 68.750 (68.824)
Epoch: [83][4700/7045]	Time 0.423 (0.240)	Data 0.364 (0.177)	Loss 2.3735 (2.5142)	Prec@1 41.406 (38.867)	Prec@5 72.656 (68.826)
Epoch: [83][4710/7045]	Time 0.102 (0.240)	Data 0.001 (0.177)	Loss 2.3265 (2.5141)	Prec@1 40.234 (38.870)	Prec@5 69.922 (68.827)
Epoch: [83][4720/7045]	Time 0.377 (0.240)	Data 0.325 (0.177)	Loss 2.3696 (2.5141)	Prec@1 41.406 (38.869)	Prec@5 69.531 (68.825)
Epoch: [83][4730/7045]	Time 0.102 (0.240)	Data 0.044 (0.177)	Loss 2.6409 (2.5142)	Prec@1 36.328 (38.868)	Prec@5 69.141 (68.824)
Epoch: [83][4740/7045]	Time 0.469 (0.240)	Data 0.417 (0.177)	Loss 2.4944 (2.5141)	Prec@1 39.453 (38.871)	Prec@5 70.312 (68.825)
Epoch: [83][4750/7045]	Time 0.102 (0.240)	Data 0.002 (0.177)	Loss 2.4233 (2.5141)	Prec@1 41.406 (38.872)	Prec@5 67.969 (68.825)
Epoch: [83][4760/7045]	Time 0.460 (0.240)	Data 0.408 (0.177)	Loss 2.5599 (2.5141)	Prec@1 37.500 (38.871)	Prec@5 66.016 (68.823)
Epoch: [83][4770/7045]	Time 0.103 (0.240)	Data 0.001 (0.177)	Loss 2.4319 (2.5142)	Prec@1 40.234 (38.869)	Prec@5 71.484 (68.822)
Epoch: [83][4780/7045]	Time 0.460 (0.240)	Data 0.408 (0.177)	Loss 2.4282 (2.5140)	Prec@1 37.891 (38.872)	Prec@5 73.438 (68.825)
Epoch: [83][4790/7045]	Time 0.101 (0.240)	Data 0.003 (0.177)	Loss 2.6327 (2.5141)	Prec@1 38.672 (38.872)	Prec@5 66.406 (68.824)
Epoch: [83][4800/7045]	Time 0.425 (0.240)	Data 0.372 (0.177)	Loss 2.4889 (2.5142)	Prec@1 39.062 (38.868)	Prec@5 71.094 (68.823)
Epoch: [83][4810/7045]	Time 0.110 (0.240)	Data 0.001 (0.177)	Loss 2.4844 (2.5141)	Prec@1 38.281 (38.868)	Prec@5 69.531 (68.825)
Epoch: [83][4820/7045]	Time 0.264 (0.240)	Data 0.213 (0.177)	Loss 2.4442 (2.5141)	Prec@1 42.578 (38.867)	Prec@5 70.312 (68.822)
Epoch: [83][4830/7045]	Time 0.134 (0.240)	Data 0.081 (0.177)	Loss 2.5390 (2.5141)	Prec@1 38.281 (38.866)	Prec@5 67.578 (68.822)
Epoch: [83][4840/7045]	Time 0.188 (0.240)	Data 0.136 (0.177)	Loss 2.5370 (2.5141)	Prec@1 37.500 (38.868)	Prec@5 65.625 (68.821)
Epoch: [83][4850/7045]	Time 0.177 (0.240)	Data 0.126 (0.177)	Loss 2.3405 (2.5141)	Prec@1 40.234 (38.868)	Prec@5 71.484 (68.820)
Epoch: [83][4860/7045]	Time 0.191 (0.240)	Data 0.139 (0.177)	Loss 2.6471 (2.5141)	Prec@1 37.500 (38.867)	Prec@5 68.750 (68.821)
Epoch: [83][4870/7045]	Time 0.296 (0.240)	Data 0.244 (0.177)	Loss 2.4583 (2.5142)	Prec@1 39.844 (38.868)	Prec@5 69.922 (68.821)
Epoch: [83][4880/7045]	Time 0.228 (0.240)	Data 0.176 (0.177)	Loss 2.6646 (2.5142)	Prec@1 35.547 (38.868)	Prec@5 65.625 (68.821)
Epoch: [83][4890/7045]	Time 0.255 (0.240)	Data 0.203 (0.177)	Loss 2.3871 (2.5142)	Prec@1 45.312 (38.869)	Prec@5 69.531 (68.821)
Epoch: [83][4900/7045]	Time 0.270 (0.240)	Data 0.217 (0.177)	Loss 2.4555 (2.5142)	Prec@1 39.062 (38.870)	Prec@5 72.266 (68.822)
Epoch: [83][4910/7045]	Time 0.282 (0.240)	Data 0.230 (0.177)	Loss 2.5525 (2.5141)	Prec@1 39.453 (38.872)	Prec@5 68.750 (68.822)
Epoch: [83][4920/7045]	Time 0.175 (0.240)	Data 0.124 (0.177)	Loss 2.4265 (2.5140)	Prec@1 36.328 (38.874)	Prec@5 68.359 (68.825)
Epoch: [83][4930/7045]	Time 0.246 (0.240)	Data 0.194 (0.178)	Loss 2.3647 (2.5139)	Prec@1 43.750 (38.875)	Prec@5 72.266 (68.824)
Epoch: [83][4940/7045]	Time 0.165 (0.240)	Data 0.113 (0.178)	Loss 2.5156 (2.5139)	Prec@1 36.328 (38.876)	Prec@5 70.703 (68.825)
Epoch: [83][4950/7045]	Time 0.337 (0.240)	Data 0.286 (0.178)	Loss 2.4021 (2.5139)	Prec@1 40.234 (38.876)	Prec@5 69.531 (68.825)
Epoch: [83][4960/7045]	Time 0.149 (0.240)	Data 0.097 (0.178)	Loss 2.7033 (2.5139)	Prec@1 35.938 (38.873)	Prec@5 60.938 (68.823)
Epoch: [83][4970/7045]	Time 0.282 (0.240)	Data 0.230 (0.178)	Loss 2.4871 (2.5139)	Prec@1 43.359 (38.875)	Prec@5 72.266 (68.824)
Epoch: [83][4980/7045]	Time 0.108 (0.240)	Data 0.055 (0.178)	Loss 2.5338 (2.5140)	Prec@1 37.500 (38.873)	Prec@5 67.188 (68.821)
Epoch: [83][4990/7045]	Time 0.321 (0.240)	Data 0.269 (0.178)	Loss 2.8129 (2.5140)	Prec@1 37.109 (38.873)	Prec@5 63.281 (68.818)
Epoch: [83][5000/7045]	Time 0.167 (0.240)	Data 0.115 (0.178)	Loss 2.3581 (2.5140)	Prec@1 41.406 (38.873)	Prec@5 72.266 (68.819)
Epoch: [83][5010/7045]	Time 0.310 (0.240)	Data 0.258 (0.178)	Loss 2.6088 (2.5140)	Prec@1 37.500 (38.874)	Prec@5 67.578 (68.818)
Epoch: [83][5020/7045]	Time 0.116 (0.240)	Data 0.063 (0.178)	Loss 2.6622 (2.5139)	Prec@1 36.719 (38.875)	Prec@5 67.188 (68.818)
Epoch: [83][5030/7045]	Time 0.318 (0.240)	Data 0.266 (0.178)	Loss 2.4553 (2.5139)	Prec@1 38.281 (38.875)	Prec@5 65.625 (68.817)
Epoch: [83][5040/7045]	Time 0.174 (0.240)	Data 0.123 (0.178)	Loss 2.3908 (2.5139)	Prec@1 39.844 (38.873)	Prec@5 73.438 (68.817)
Epoch: [83][5050/7045]	Time 0.399 (0.240)	Data 0.346 (0.178)	Loss 2.5535 (2.5139)	Prec@1 38.281 (38.871)	Prec@5 70.312 (68.818)
Epoch: [83][5060/7045]	Time 0.189 (0.240)	Data 0.137 (0.178)	Loss 2.4538 (2.5139)	Prec@1 40.625 (38.868)	Prec@5 68.750 (68.817)
Epoch: [83][5070/7045]	Time 0.444 (0.240)	Data 0.392 (0.178)	Loss 2.4841 (2.5139)	Prec@1 38.281 (38.870)	Prec@5 67.969 (68.817)
Epoch: [83][5080/7045]	Time 0.147 (0.240)	Data 0.095 (0.178)	Loss 2.5471 (2.5138)	Prec@1 35.938 (38.871)	Prec@5 67.188 (68.820)
Epoch: [83][5090/7045]	Time 0.421 (0.240)	Data 0.369 (0.178)	Loss 2.5823 (2.5138)	Prec@1 36.719 (38.868)	Prec@5 68.750 (68.821)
Epoch: [83][5100/7045]	Time 0.210 (0.240)	Data 0.151 (0.178)	Loss 2.5162 (2.5139)	Prec@1 39.062 (38.869)	Prec@5 70.312 (68.822)
Epoch: [83][5110/7045]	Time 0.435 (0.240)	Data 0.382 (0.178)	Loss 2.4737 (2.5139)	Prec@1 36.719 (38.869)	Prec@5 69.141 (68.821)
Epoch: [83][5120/7045]	Time 0.206 (0.240)	Data 0.154 (0.178)	Loss 2.4986 (2.5139)	Prec@1 33.984 (38.867)	Prec@5 69.922 (68.821)
Epoch: [83][5130/7045]	Time 0.479 (0.240)	Data 0.427 (0.178)	Loss 2.3319 (2.5139)	Prec@1 41.406 (38.865)	Prec@5 74.609 (68.822)
Epoch: [83][5140/7045]	Time 0.143 (0.240)	Data 0.091 (0.178)	Loss 2.4980 (2.5138)	Prec@1 37.109 (38.867)	Prec@5 66.406 (68.823)
Epoch: [83][5150/7045]	Time 0.543 (0.240)	Data 0.491 (0.178)	Loss 2.4318 (2.5137)	Prec@1 44.531 (38.869)	Prec@5 67.969 (68.825)
Epoch: [83][5160/7045]	Time 0.105 (0.240)	Data 0.052 (0.178)	Loss 2.5518 (2.5138)	Prec@1 35.938 (38.868)	Prec@5 66.016 (68.825)
Epoch: [83][5170/7045]	Time 0.551 (0.240)	Data 0.499 (0.178)	Loss 2.5208 (2.5137)	Prec@1 35.547 (38.865)	Prec@5 69.141 (68.825)
Epoch: [83][5180/7045]	Time 0.108 (0.240)	Data 0.006 (0.178)	Loss 2.5744 (2.5137)	Prec@1 39.844 (38.867)	Prec@5 69.141 (68.828)
Epoch: [83][5190/7045]	Time 0.578 (0.240)	Data 0.526 (0.178)	Loss 2.7351 (2.5137)	Prec@1 31.641 (38.867)	Prec@5 65.625 (68.830)
Epoch: [83][5200/7045]	Time 0.109 (0.240)	Data 0.005 (0.178)	Loss 2.7882 (2.5137)	Prec@1 28.125 (38.864)	Prec@5 64.062 (68.828)
Epoch: [83][5210/7045]	Time 0.511 (0.240)	Data 0.459 (0.178)	Loss 2.6504 (2.5138)	Prec@1 37.109 (38.861)	Prec@5 65.625 (68.827)
Epoch: [83][5220/7045]	Time 0.111 (0.240)	Data 0.059 (0.178)	Loss 2.6394 (2.5138)	Prec@1 33.984 (38.861)	Prec@5 67.969 (68.827)
Epoch: [83][5230/7045]	Time 0.647 (0.240)	Data 0.595 (0.178)	Loss 2.3990 (2.5138)	Prec@1 38.281 (38.861)	Prec@5 68.359 (68.827)
Epoch: [83][5240/7045]	Time 0.111 (0.240)	Data 0.058 (0.178)	Loss 2.1938 (2.5137)	Prec@1 45.703 (38.863)	Prec@5 75.000 (68.828)
Epoch: [83][5250/7045]	Time 0.580 (0.240)	Data 0.528 (0.178)	Loss 2.3013 (2.5136)	Prec@1 46.484 (38.867)	Prec@5 74.219 (68.828)
Epoch: [83][5260/7045]	Time 0.109 (0.240)	Data 0.001 (0.178)	Loss 2.5906 (2.5137)	Prec@1 37.500 (38.866)	Prec@5 67.578 (68.828)
Epoch: [83][5270/7045]	Time 0.628 (0.240)	Data 0.568 (0.178)	Loss 2.4897 (2.5137)	Prec@1 39.062 (38.868)	Prec@5 69.141 (68.826)
Epoch: [83][5280/7045]	Time 0.101 (0.240)	Data 0.002 (0.178)	Loss 2.4438 (2.5136)	Prec@1 39.453 (38.868)	Prec@5 68.359 (68.828)
Epoch: [83][5290/7045]	Time 0.570 (0.240)	Data 0.518 (0.178)	Loss 2.5785 (2.5136)	Prec@1 37.109 (38.867)	Prec@5 66.797 (68.828)
Epoch: [83][5300/7045]	Time 0.102 (0.240)	Data 0.003 (0.178)	Loss 2.4575 (2.5136)	Prec@1 38.281 (38.868)	Prec@5 70.312 (68.828)
Epoch: [83][5310/7045]	Time 0.530 (0.240)	Data 0.478 (0.178)	Loss 2.6109 (2.5137)	Prec@1 37.500 (38.865)	Prec@5 69.141 (68.826)
Epoch: [83][5320/7045]	Time 0.108 (0.240)	Data 0.005 (0.178)	Loss 2.6293 (2.5137)	Prec@1 39.844 (38.865)	Prec@5 67.188 (68.827)
Epoch: [83][5330/7045]	Time 0.545 (0.240)	Data 0.493 (0.178)	Loss 2.6017 (2.5137)	Prec@1 35.547 (38.865)	Prec@5 67.969 (68.826)
Epoch: [83][5340/7045]	Time 0.107 (0.240)	Data 0.045 (0.178)	Loss 2.5530 (2.5137)	Prec@1 33.984 (38.864)	Prec@5 69.141 (68.829)
Epoch: [83][5350/7045]	Time 0.455 (0.240)	Data 0.403 (0.178)	Loss 2.4660 (2.5138)	Prec@1 39.844 (38.862)	Prec@5 70.703 (68.828)
Epoch: [83][5360/7045]	Time 0.255 (0.240)	Data 0.203 (0.178)	Loss 2.2455 (2.5138)	Prec@1 45.703 (38.861)	Prec@5 73.438 (68.829)
Epoch: [83][5370/7045]	Time 0.352 (0.240)	Data 0.300 (0.178)	Loss 2.4779 (2.5137)	Prec@1 33.984 (38.859)	Prec@5 71.484 (68.830)
Epoch: [83][5380/7045]	Time 0.164 (0.240)	Data 0.111 (0.178)	Loss 2.3619 (2.5137)	Prec@1 42.578 (38.859)	Prec@5 71.875 (68.831)
Epoch: [83][5390/7045]	Time 0.415 (0.240)	Data 0.363 (0.178)	Loss 2.4009 (2.5136)	Prec@1 42.188 (38.863)	Prec@5 67.969 (68.831)
Epoch: [83][5400/7045]	Time 0.104 (0.240)	Data 0.051 (0.178)	Loss 2.4366 (2.5135)	Prec@1 39.062 (38.865)	Prec@5 68.750 (68.831)
Epoch: [83][5410/7045]	Time 0.238 (0.240)	Data 0.187 (0.178)	Loss 2.5839 (2.5135)	Prec@1 38.672 (38.865)	Prec@5 69.922 (68.832)
Epoch: [83][5420/7045]	Time 0.102 (0.240)	Data 0.002 (0.178)	Loss 2.8382 (2.5135)	Prec@1 38.672 (38.865)	Prec@5 64.844 (68.832)
Epoch: [83][5430/7045]	Time 0.162 (0.240)	Data 0.110 (0.178)	Loss 2.4830 (2.5135)	Prec@1 39.062 (38.864)	Prec@5 71.094 (68.834)
Epoch: [83][5440/7045]	Time 0.101 (0.240)	Data 0.046 (0.178)	Loss 2.4901 (2.5136)	Prec@1 40.234 (38.861)	Prec@5 69.141 (68.831)
Epoch: [83][5450/7045]	Time 0.109 (0.240)	Data 0.004 (0.178)	Loss 2.7036 (2.5139)	Prec@1 35.547 (38.857)	Prec@5 62.891 (68.827)
Epoch: [83][5460/7045]	Time 0.102 (0.240)	Data 0.003 (0.178)	Loss 2.4314 (2.5139)	Prec@1 38.672 (38.856)	Prec@5 67.969 (68.826)
Epoch: [83][5470/7045]	Time 0.103 (0.240)	Data 0.001 (0.178)	Loss 2.4483 (2.5138)	Prec@1 45.312 (38.857)	Prec@5 71.094 (68.827)
Epoch: [83][5480/7045]	Time 0.100 (0.240)	Data 0.004 (0.178)	Loss 2.6062 (2.5140)	Prec@1 36.328 (38.856)	Prec@5 65.234 (68.824)
Epoch: [83][5490/7045]	Time 0.107 (0.240)	Data 0.053 (0.178)	Loss 2.5299 (2.5140)	Prec@1 38.281 (38.855)	Prec@5 70.703 (68.823)
Epoch: [83][5500/7045]	Time 0.115 (0.240)	Data 0.063 (0.178)	Loss 2.5044 (2.5139)	Prec@1 37.500 (38.857)	Prec@5 71.094 (68.826)
Epoch: [83][5510/7045]	Time 0.230 (0.240)	Data 0.171 (0.178)	Loss 2.7182 (2.5140)	Prec@1 35.938 (38.855)	Prec@5 66.016 (68.827)
Epoch: [83][5520/7045]	Time 0.109 (0.240)	Data 0.055 (0.178)	Loss 2.4820 (2.5140)	Prec@1 37.891 (38.856)	Prec@5 67.188 (68.826)
Epoch: [83][5530/7045]	Time 0.266 (0.240)	Data 0.213 (0.178)	Loss 2.4725 (2.5140)	Prec@1 40.625 (38.856)	Prec@5 68.750 (68.826)
Epoch: [83][5540/7045]	Time 0.114 (0.240)	Data 0.062 (0.178)	Loss 2.4272 (2.5139)	Prec@1 39.062 (38.857)	Prec@5 70.312 (68.828)
Epoch: [83][5550/7045]	Time 0.421 (0.240)	Data 0.370 (0.178)	Loss 2.5600 (2.5139)	Prec@1 39.453 (38.855)	Prec@5 66.016 (68.826)
Epoch: [83][5560/7045]	Time 0.164 (0.240)	Data 0.113 (0.178)	Loss 2.4351 (2.5140)	Prec@1 36.328 (38.857)	Prec@5 70.312 (68.826)
Epoch: [83][5570/7045]	Time 0.492 (0.240)	Data 0.438 (0.178)	Loss 2.3049 (2.5140)	Prec@1 44.531 (38.858)	Prec@5 71.875 (68.826)
Epoch: [83][5580/7045]	Time 0.104 (0.240)	Data 0.051 (0.178)	Loss 2.4615 (2.5139)	Prec@1 42.578 (38.859)	Prec@5 73.047 (68.829)
Epoch: [83][5590/7045]	Time 0.509 (0.240)	Data 0.457 (0.178)	Loss 2.5221 (2.5138)	Prec@1 38.281 (38.862)	Prec@5 68.750 (68.832)
Epoch: [83][5600/7045]	Time 0.109 (0.240)	Data 0.001 (0.178)	Loss 2.3725 (2.5137)	Prec@1 40.234 (38.863)	Prec@5 73.438 (68.833)
Epoch: [83][5610/7045]	Time 0.433 (0.240)	Data 0.381 (0.178)	Loss 2.4551 (2.5137)	Prec@1 40.234 (38.864)	Prec@5 70.312 (68.834)
Epoch: [83][5620/7045]	Time 0.174 (0.240)	Data 0.122 (0.178)	Loss 2.3977 (2.5136)	Prec@1 39.844 (38.865)	Prec@5 70.703 (68.834)
Epoch: [83][5630/7045]	Time 0.515 (0.240)	Data 0.463 (0.178)	Loss 2.6007 (2.5138)	Prec@1 38.281 (38.864)	Prec@5 65.234 (68.833)
Epoch: [83][5640/7045]	Time 0.143 (0.240)	Data 0.090 (0.178)	Loss 2.2462 (2.5136)	Prec@1 47.656 (38.868)	Prec@5 73.047 (68.835)
Epoch: [83][5650/7045]	Time 0.484 (0.240)	Data 0.431 (0.178)	Loss 2.7348 (2.5136)	Prec@1 36.719 (38.868)	Prec@5 64.062 (68.835)
Epoch: [83][5660/7045]	Time 0.175 (0.240)	Data 0.122 (0.178)	Loss 2.3001 (2.5136)	Prec@1 43.359 (38.867)	Prec@5 70.312 (68.835)
Epoch: [83][5670/7045]	Time 0.547 (0.240)	Data 0.495 (0.178)	Loss 2.3243 (2.5136)	Prec@1 42.578 (38.869)	Prec@5 71.484 (68.836)
Epoch: [83][5680/7045]	Time 0.109 (0.240)	Data 0.001 (0.178)	Loss 2.4516 (2.5135)	Prec@1 40.625 (38.870)	Prec@5 69.922 (68.837)
Epoch: [83][5690/7045]	Time 0.624 (0.240)	Data 0.572 (0.178)	Loss 2.5884 (2.5135)	Prec@1 36.719 (38.872)	Prec@5 66.406 (68.838)
Epoch: [83][5700/7045]	Time 0.130 (0.240)	Data 0.077 (0.178)	Loss 2.4963 (2.5135)	Prec@1 39.453 (38.869)	Prec@5 67.578 (68.838)
Epoch: [83][5710/7045]	Time 0.542 (0.240)	Data 0.490 (0.178)	Loss 2.6072 (2.5135)	Prec@1 36.719 (38.870)	Prec@5 67.969 (68.838)
Epoch: [83][5720/7045]	Time 0.125 (0.240)	Data 0.073 (0.178)	Loss 2.5519 (2.5135)	Prec@1 35.547 (38.870)	Prec@5 66.406 (68.838)
Epoch: [83][5730/7045]	Time 0.578 (0.240)	Data 0.527 (0.178)	Loss 2.5150 (2.5134)	Prec@1 37.109 (38.872)	Prec@5 63.672 (68.838)
Epoch: [83][5740/7045]	Time 0.168 (0.240)	Data 0.115 (0.178)	Loss 2.3109 (2.5134)	Prec@1 44.531 (38.874)	Prec@5 74.609 (68.838)
Epoch: [83][5750/7045]	Time 0.454 (0.240)	Data 0.395 (0.178)	Loss 2.5172 (2.5134)	Prec@1 39.844 (38.876)	Prec@5 72.656 (68.838)
Epoch: [83][5760/7045]	Time 0.193 (0.240)	Data 0.142 (0.178)	Loss 2.6663 (2.5134)	Prec@1 35.547 (38.875)	Prec@5 65.625 (68.837)
Epoch: [83][5770/7045]	Time 0.432 (0.240)	Data 0.373 (0.178)	Loss 2.4859 (2.5135)	Prec@1 37.500 (38.874)	Prec@5 70.312 (68.833)
Epoch: [83][5780/7045]	Time 0.288 (0.240)	Data 0.229 (0.178)	Loss 2.5250 (2.5135)	Prec@1 39.844 (38.874)	Prec@5 69.531 (68.834)
Epoch: [83][5790/7045]	Time 0.450 (0.240)	Data 0.392 (0.178)	Loss 2.6567 (2.5136)	Prec@1 36.719 (38.871)	Prec@5 60.938 (68.832)
Epoch: [83][5800/7045]	Time 0.273 (0.240)	Data 0.221 (0.178)	Loss 2.6549 (2.5137)	Prec@1 37.891 (38.869)	Prec@5 65.234 (68.829)
Epoch: [83][5810/7045]	Time 0.345 (0.240)	Data 0.287 (0.178)	Loss 2.2603 (2.5136)	Prec@1 43.359 (38.869)	Prec@5 74.219 (68.832)
Epoch: [83][5820/7045]	Time 0.295 (0.240)	Data 0.243 (0.178)	Loss 2.4726 (2.5136)	Prec@1 41.016 (38.871)	Prec@5 70.703 (68.832)
Epoch: [83][5830/7045]	Time 0.389 (0.240)	Data 0.337 (0.178)	Loss 2.5141 (2.5137)	Prec@1 36.719 (38.870)	Prec@5 69.531 (68.829)
Epoch: [83][5840/7045]	Time 0.303 (0.240)	Data 0.252 (0.178)	Loss 2.7333 (2.5138)	Prec@1 37.109 (38.870)	Prec@5 67.188 (68.827)
Epoch: [83][5850/7045]	Time 0.291 (0.240)	Data 0.240 (0.178)	Loss 2.5150 (2.5139)	Prec@1 39.062 (38.868)	Prec@5 67.578 (68.825)
Epoch: [83][5860/7045]	Time 0.258 (0.240)	Data 0.207 (0.178)	Loss 2.7489 (2.5139)	Prec@1 35.547 (38.866)	Prec@5 65.234 (68.825)
Epoch: [83][5870/7045]	Time 0.317 (0.240)	Data 0.264 (0.178)	Loss 2.5521 (2.5139)	Prec@1 33.203 (38.866)	Prec@5 70.703 (68.824)
Epoch: [83][5880/7045]	Time 0.223 (0.240)	Data 0.171 (0.178)	Loss 2.5352 (2.5139)	Prec@1 37.891 (38.866)	Prec@5 67.188 (68.823)
Epoch: [83][5890/7045]	Time 0.431 (0.240)	Data 0.372 (0.178)	Loss 2.5972 (2.5140)	Prec@1 37.109 (38.866)	Prec@5 66.406 (68.822)
Epoch: [83][5900/7045]	Time 0.141 (0.240)	Data 0.089 (0.178)	Loss 2.4208 (2.5140)	Prec@1 44.141 (38.866)	Prec@5 71.094 (68.820)
Epoch: [83][5910/7045]	Time 0.455 (0.240)	Data 0.397 (0.178)	Loss 2.3023 (2.5140)	Prec@1 43.750 (38.867)	Prec@5 73.047 (68.820)
Epoch: [83][5920/7045]	Time 0.102 (0.240)	Data 0.001 (0.178)	Loss 2.3678 (2.5141)	Prec@1 42.578 (38.866)	Prec@5 71.484 (68.818)
Epoch: [83][5930/7045]	Time 0.566 (0.240)	Data 0.514 (0.178)	Loss 2.3848 (2.5140)	Prec@1 40.625 (38.869)	Prec@5 70.312 (68.819)
Epoch: [83][5940/7045]	Time 0.110 (0.240)	Data 0.058 (0.178)	Loss 2.5299 (2.5140)	Prec@1 36.719 (38.868)	Prec@5 70.312 (68.820)
Epoch: [83][5950/7045]	Time 0.516 (0.240)	Data 0.464 (0.178)	Loss 2.6451 (2.5140)	Prec@1 38.672 (38.867)	Prec@5 64.453 (68.819)
Epoch: [83][5960/7045]	Time 0.104 (0.240)	Data 0.052 (0.178)	Loss 2.2438 (2.5140)	Prec@1 43.359 (38.867)	Prec@5 72.266 (68.819)
Epoch: [83][5970/7045]	Time 0.603 (0.240)	Data 0.552 (0.178)	Loss 2.4801 (2.5140)	Prec@1 40.625 (38.869)	Prec@5 71.094 (68.818)
Epoch: [83][5980/7045]	Time 0.172 (0.240)	Data 0.120 (0.178)	Loss 2.4543 (2.5141)	Prec@1 40.234 (38.867)	Prec@5 72.656 (68.816)
Epoch: [83][5990/7045]	Time 0.525 (0.240)	Data 0.472 (0.178)	Loss 2.4221 (2.5141)	Prec@1 42.578 (38.868)	Prec@5 71.875 (68.815)
Epoch: [83][6000/7045]	Time 0.195 (0.240)	Data 0.143 (0.178)	Loss 2.4887 (2.5141)	Prec@1 39.844 (38.868)	Prec@5 67.969 (68.815)
Epoch: [83][6010/7045]	Time 0.483 (0.240)	Data 0.432 (0.178)	Loss 2.5426 (2.5142)	Prec@1 37.109 (38.867)	Prec@5 66.797 (68.813)
Epoch: [83][6020/7045]	Time 0.195 (0.240)	Data 0.142 (0.178)	Loss 2.6791 (2.5142)	Prec@1 35.938 (38.867)	Prec@5 64.453 (68.813)
Epoch: [83][6030/7045]	Time 0.502 (0.240)	Data 0.450 (0.178)	Loss 2.4153 (2.5142)	Prec@1 43.359 (38.868)	Prec@5 69.922 (68.813)
Epoch: [83][6040/7045]	Time 0.256 (0.240)	Data 0.205 (0.178)	Loss 2.5917 (2.5142)	Prec@1 39.844 (38.870)	Prec@5 65.234 (68.813)
Epoch: [83][6050/7045]	Time 0.501 (0.240)	Data 0.448 (0.178)	Loss 2.4142 (2.5142)	Prec@1 37.891 (38.869)	Prec@5 69.531 (68.812)
Epoch: [83][6060/7045]	Time 0.206 (0.240)	Data 0.154 (0.178)	Loss 2.3865 (2.5142)	Prec@1 37.109 (38.867)	Prec@5 73.047 (68.811)
Epoch: [83][6070/7045]	Time 0.443 (0.240)	Data 0.390 (0.178)	Loss 2.5781 (2.5142)	Prec@1 38.281 (38.866)	Prec@5 69.141 (68.810)
Epoch: [83][6080/7045]	Time 0.203 (0.240)	Data 0.150 (0.178)	Loss 2.4925 (2.5143)	Prec@1 39.453 (38.864)	Prec@5 69.531 (68.809)
Epoch: [83][6090/7045]	Time 0.509 (0.240)	Data 0.458 (0.178)	Loss 2.5924 (2.5143)	Prec@1 35.547 (38.862)	Prec@5 67.188 (68.810)
Epoch: [83][6100/7045]	Time 0.252 (0.240)	Data 0.194 (0.178)	Loss 2.4929 (2.5143)	Prec@1 39.453 (38.863)	Prec@5 71.094 (68.813)
Epoch: [83][6110/7045]	Time 0.547 (0.240)	Data 0.494 (0.178)	Loss 2.5766 (2.5145)	Prec@1 35.156 (38.859)	Prec@5 66.406 (68.809)
Epoch: [83][6120/7045]	Time 0.181 (0.240)	Data 0.129 (0.178)	Loss 2.3349 (2.5144)	Prec@1 44.922 (38.862)	Prec@5 72.266 (68.812)
Epoch: [83][6130/7045]	Time 0.505 (0.240)	Data 0.453 (0.178)	Loss 2.4435 (2.5143)	Prec@1 42.578 (38.865)	Prec@5 69.141 (68.814)
Epoch: [83][6140/7045]	Time 0.212 (0.240)	Data 0.161 (0.178)	Loss 2.5080 (2.5143)	Prec@1 40.625 (38.867)	Prec@5 70.312 (68.814)
Epoch: [83][6150/7045]	Time 0.406 (0.240)	Data 0.354 (0.178)	Loss 2.6037 (2.5143)	Prec@1 39.062 (38.866)	Prec@5 68.750 (68.815)
Epoch: [83][6160/7045]	Time 0.220 (0.240)	Data 0.168 (0.178)	Loss 2.5200 (2.5143)	Prec@1 35.938 (38.867)	Prec@5 68.359 (68.813)
Epoch: [83][6170/7045]	Time 0.406 (0.240)	Data 0.354 (0.178)	Loss 2.4498 (2.5143)	Prec@1 37.500 (38.865)	Prec@5 74.219 (68.816)
Epoch: [83][6180/7045]	Time 0.207 (0.240)	Data 0.156 (0.178)	Loss 2.3808 (2.5143)	Prec@1 42.188 (38.865)	Prec@5 73.047 (68.816)
Epoch: [83][6190/7045]	Time 0.409 (0.240)	Data 0.352 (0.178)	Loss 2.5445 (2.5142)	Prec@1 36.328 (38.865)	Prec@5 67.578 (68.817)
Epoch: [83][6200/7045]	Time 0.188 (0.240)	Data 0.137 (0.178)	Loss 2.3272 (2.5142)	Prec@1 37.891 (38.866)	Prec@5 73.438 (68.817)
Epoch: [83][6210/7045]	Time 0.391 (0.240)	Data 0.339 (0.178)	Loss 2.4094 (2.5140)	Prec@1 41.406 (38.872)	Prec@5 70.312 (68.820)
Epoch: [83][6220/7045]	Time 0.149 (0.240)	Data 0.097 (0.178)	Loss 2.6102 (2.5140)	Prec@1 37.109 (38.871)	Prec@5 66.016 (68.819)
Epoch: [83][6230/7045]	Time 0.369 (0.240)	Data 0.318 (0.178)	Loss 2.5319 (2.5141)	Prec@1 39.062 (38.871)	Prec@5 67.578 (68.818)
Epoch: [83][6240/7045]	Time 0.122 (0.240)	Data 0.069 (0.178)	Loss 2.5430 (2.5141)	Prec@1 33.984 (38.869)	Prec@5 71.094 (68.819)
Epoch: [83][6250/7045]	Time 0.413 (0.240)	Data 0.361 (0.178)	Loss 2.6104 (2.5142)	Prec@1 37.500 (38.867)	Prec@5 67.578 (68.818)
Epoch: [83][6260/7045]	Time 0.109 (0.240)	Data 0.057 (0.178)	Loss 2.6935 (2.5143)	Prec@1 35.156 (38.866)	Prec@5 65.234 (68.817)
Epoch: [83][6270/7045]	Time 0.439 (0.240)	Data 0.388 (0.178)	Loss 2.5422 (2.5143)	Prec@1 40.234 (38.866)	Prec@5 67.969 (68.818)
Epoch: [83][6280/7045]	Time 0.124 (0.240)	Data 0.071 (0.178)	Loss 2.5831 (2.5144)	Prec@1 36.328 (38.864)	Prec@5 67.969 (68.817)
Epoch: [83][6290/7045]	Time 0.417 (0.240)	Data 0.358 (0.178)	Loss 2.5902 (2.5144)	Prec@1 34.766 (38.863)	Prec@5 65.625 (68.814)
Epoch: [83][6300/7045]	Time 0.102 (0.240)	Data 0.001 (0.178)	Loss 2.4193 (2.5144)	Prec@1 45.312 (38.864)	Prec@5 71.484 (68.815)
Epoch: [83][6310/7045]	Time 0.469 (0.240)	Data 0.417 (0.178)	Loss 2.5321 (2.5144)	Prec@1 36.719 (38.864)	Prec@5 68.359 (68.814)
Epoch: [83][6320/7045]	Time 0.102 (0.240)	Data 0.001 (0.178)	Loss 2.4796 (2.5144)	Prec@1 39.844 (38.862)	Prec@5 65.625 (68.813)
Epoch: [83][6330/7045]	Time 0.467 (0.240)	Data 0.416 (0.178)	Loss 2.4282 (2.5144)	Prec@1 40.234 (38.863)	Prec@5 69.531 (68.813)
Epoch: [83][6340/7045]	Time 0.103 (0.240)	Data 0.001 (0.178)	Loss 2.2103 (2.5145)	Prec@1 40.625 (38.860)	Prec@5 72.656 (68.812)
Epoch: [83][6350/7045]	Time 0.358 (0.240)	Data 0.299 (0.178)	Loss 2.4115 (2.5145)	Prec@1 36.328 (38.859)	Prec@5 69.531 (68.810)
Epoch: [83][6360/7045]	Time 0.102 (0.240)	Data 0.001 (0.178)	Loss 2.5077 (2.5146)	Prec@1 36.719 (38.855)	Prec@5 69.141 (68.809)
Epoch: [83][6370/7045]	Time 0.448 (0.240)	Data 0.394 (0.178)	Loss 2.5020 (2.5146)	Prec@1 43.359 (38.857)	Prec@5 67.578 (68.808)
Epoch: [83][6380/7045]	Time 0.103 (0.240)	Data 0.001 (0.178)	Loss 2.5006 (2.5145)	Prec@1 35.938 (38.857)	Prec@5 72.266 (68.809)
Epoch: [83][6390/7045]	Time 0.271 (0.240)	Data 0.218 (0.178)	Loss 2.6545 (2.5146)	Prec@1 39.062 (38.857)	Prec@5 69.922 (68.809)
Epoch: [83][6400/7045]	Time 0.112 (0.240)	Data 0.059 (0.178)	Loss 2.3612 (2.5147)	Prec@1 40.234 (38.856)	Prec@5 71.094 (68.808)
Epoch: [83][6410/7045]	Time 0.221 (0.240)	Data 0.162 (0.178)	Loss 2.3306 (2.5146)	Prec@1 43.359 (38.858)	Prec@5 72.266 (68.809)
Epoch: [83][6420/7045]	Time 0.203 (0.240)	Data 0.151 (0.178)	Loss 2.5091 (2.5147)	Prec@1 37.109 (38.858)	Prec@5 67.578 (68.808)
Epoch: [83][6430/7045]	Time 0.172 (0.240)	Data 0.120 (0.178)	Loss 2.4829 (2.5148)	Prec@1 40.234 (38.855)	Prec@5 68.750 (68.807)
Epoch: [83][6440/7045]	Time 0.204 (0.240)	Data 0.152 (0.178)	Loss 2.4503 (2.5147)	Prec@1 39.844 (38.855)	Prec@5 69.922 (68.806)
Epoch: [83][6450/7045]	Time 0.132 (0.240)	Data 0.079 (0.178)	Loss 2.4363 (2.5148)	Prec@1 42.969 (38.855)	Prec@5 67.969 (68.806)
Epoch: [83][6460/7045]	Time 0.319 (0.240)	Data 0.267 (0.178)	Loss 2.3510 (2.5146)	Prec@1 41.406 (38.859)	Prec@5 70.703 (68.809)
Epoch: [83][6470/7045]	Time 0.111 (0.240)	Data 0.059 (0.178)	Loss 2.6970 (2.5146)	Prec@1 36.328 (38.859)	Prec@5 67.188 (68.809)
Epoch: [83][6480/7045]	Time 0.286 (0.240)	Data 0.234 (0.178)	Loss 2.6894 (2.5146)	Prec@1 31.250 (38.859)	Prec@5 67.969 (68.809)
Epoch: [83][6490/7045]	Time 0.113 (0.240)	Data 0.060 (0.178)	Loss 2.6260 (2.5147)	Prec@1 34.375 (38.858)	Prec@5 66.016 (68.808)
Epoch: [83][6500/7045]	Time 0.274 (0.240)	Data 0.222 (0.178)	Loss 2.5798 (2.5147)	Prec@1 35.547 (38.857)	Prec@5 68.359 (68.808)
Epoch: [83][6510/7045]	Time 0.118 (0.240)	Data 0.066 (0.178)	Loss 2.5953 (2.5147)	Prec@1 37.500 (38.854)	Prec@5 66.797 (68.807)
Epoch: [83][6520/7045]	Time 0.258 (0.240)	Data 0.207 (0.178)	Loss 2.5915 (2.5148)	Prec@1 36.328 (38.852)	Prec@5 64.453 (68.805)
Epoch: [83][6530/7045]	Time 0.115 (0.240)	Data 0.063 (0.178)	Loss 2.6482 (2.5149)	Prec@1 34.766 (38.851)	Prec@5 67.969 (68.803)
Epoch: [83][6540/7045]	Time 0.273 (0.240)	Data 0.222 (0.178)	Loss 2.4364 (2.5149)	Prec@1 38.672 (38.851)	Prec@5 70.703 (68.803)
Epoch: [83][6550/7045]	Time 0.103 (0.240)	Data 0.005 (0.178)	Loss 2.5775 (2.5150)	Prec@1 38.672 (38.849)	Prec@5 66.406 (68.802)
Epoch: [83][6560/7045]	Time 0.170 (0.240)	Data 0.118 (0.178)	Loss 2.5000 (2.5151)	Prec@1 38.672 (38.847)	Prec@5 68.750 (68.800)
Epoch: [83][6570/7045]	Time 0.102 (0.240)	Data 0.004 (0.178)	Loss 2.5951 (2.5152)	Prec@1 41.016 (38.845)	Prec@5 69.922 (68.798)
Epoch: [83][6580/7045]	Time 0.291 (0.240)	Data 0.238 (0.177)	Loss 2.7028 (2.5153)	Prec@1 35.938 (38.844)	Prec@5 63.672 (68.796)
Epoch: [83][6590/7045]	Time 0.102 (0.240)	Data 0.006 (0.177)	Loss 2.3210 (2.5153)	Prec@1 42.969 (38.844)	Prec@5 73.047 (68.798)
Epoch: [83][6600/7045]	Time 0.198 (0.240)	Data 0.148 (0.177)	Loss 2.4786 (2.5153)	Prec@1 41.406 (38.845)	Prec@5 70.312 (68.797)
Epoch: [83][6610/7045]	Time 0.102 (0.240)	Data 0.005 (0.177)	Loss 2.7126 (2.5153)	Prec@1 37.500 (38.846)	Prec@5 66.406 (68.797)
Epoch: [83][6620/7045]	Time 0.289 (0.240)	Data 0.236 (0.177)	Loss 2.5639 (2.5153)	Prec@1 38.672 (38.848)	Prec@5 73.438 (68.797)
Epoch: [83][6630/7045]	Time 0.101 (0.240)	Data 0.001 (0.177)	Loss 2.5045 (2.5153)	Prec@1 37.500 (38.847)	Prec@5 71.094 (68.796)
Epoch: [83][6640/7045]	Time 0.233 (0.240)	Data 0.180 (0.177)	Loss 2.3527 (2.5153)	Prec@1 39.453 (38.847)	Prec@5 72.656 (68.796)
Epoch: [83][6650/7045]	Time 0.112 (0.240)	Data 0.059 (0.177)	Loss 2.6831 (2.5154)	Prec@1 34.375 (38.846)	Prec@5 65.234 (68.796)
Epoch: [83][6660/7045]	Time 0.267 (0.240)	Data 0.215 (0.177)	Loss 2.5603 (2.5155)	Prec@1 37.500 (38.843)	Prec@5 67.188 (68.793)
Epoch: [83][6670/7045]	Time 0.108 (0.240)	Data 0.005 (0.177)	Loss 2.4901 (2.5154)	Prec@1 37.891 (38.843)	Prec@5 71.094 (68.795)
Epoch: [83][6680/7045]	Time 0.246 (0.240)	Data 0.193 (0.177)	Loss 2.6108 (2.5155)	Prec@1 39.844 (38.844)	Prec@5 67.969 (68.794)
Epoch: [83][6690/7045]	Time 0.102 (0.240)	Data 0.006 (0.177)	Loss 2.3790 (2.5155)	Prec@1 40.625 (38.844)	Prec@5 68.750 (68.794)
Epoch: [83][6700/7045]	Time 0.224 (0.240)	Data 0.172 (0.177)	Loss 2.5684 (2.5154)	Prec@1 35.547 (38.843)	Prec@5 69.141 (68.794)
Epoch: [83][6710/7045]	Time 0.111 (0.240)	Data 0.059 (0.177)	Loss 2.3666 (2.5154)	Prec@1 39.062 (38.843)	Prec@5 72.266 (68.795)
Epoch: [83][6720/7045]	Time 0.111 (0.240)	Data 0.060 (0.177)	Loss 2.3533 (2.5155)	Prec@1 44.531 (38.840)	Prec@5 70.703 (68.794)
Epoch: [83][6730/7045]	Time 0.154 (0.240)	Data 0.101 (0.177)	Loss 2.5550 (2.5155)	Prec@1 39.453 (38.839)	Prec@5 68.359 (68.793)
Epoch: [83][6740/7045]	Time 0.111 (0.240)	Data 0.058 (0.177)	Loss 2.5521 (2.5155)	Prec@1 39.844 (38.841)	Prec@5 67.578 (68.793)
Epoch: [83][6750/7045]	Time 0.143 (0.240)	Data 0.091 (0.177)	Loss 2.3946 (2.5155)	Prec@1 39.844 (38.841)	Prec@5 72.266 (68.794)
Epoch: [83][6760/7045]	Time 0.175 (0.240)	Data 0.123 (0.177)	Loss 2.4407 (2.5155)	Prec@1 37.109 (38.840)	Prec@5 69.922 (68.795)
Epoch: [83][6770/7045]	Time 0.102 (0.240)	Data 0.005 (0.177)	Loss 2.5466 (2.5155)	Prec@1 35.938 (38.839)	Prec@5 68.750 (68.796)
Epoch: [83][6780/7045]	Time 0.111 (0.240)	Data 0.059 (0.177)	Loss 2.3592 (2.5156)	Prec@1 39.844 (38.838)	Prec@5 69.922 (68.796)
Epoch: [83][6790/7045]	Time 0.102 (0.240)	Data 0.002 (0.177)	Loss 2.7656 (2.5156)	Prec@1 37.109 (38.838)	Prec@5 63.281 (68.794)
Epoch: [83][6800/7045]	Time 0.136 (0.240)	Data 0.083 (0.177)	Loss 2.3639 (2.5156)	Prec@1 46.094 (38.837)	Prec@5 71.094 (68.794)
Epoch: [83][6810/7045]	Time 0.101 (0.240)	Data 0.006 (0.177)	Loss 2.6682 (2.5156)	Prec@1 38.281 (38.837)	Prec@5 62.891 (68.793)
Epoch: [83][6820/7045]	Time 0.101 (0.240)	Data 0.045 (0.177)	Loss 2.6098 (2.5157)	Prec@1 38.672 (38.837)	Prec@5 68.750 (68.792)
Epoch: [83][6830/7045]	Time 0.102 (0.240)	Data 0.008 (0.177)	Loss 2.4783 (2.5157)	Prec@1 39.062 (38.837)	Prec@5 66.797 (68.790)
Epoch: [83][6840/7045]	Time 0.102 (0.240)	Data 0.006 (0.177)	Loss 2.8274 (2.5158)	Prec@1 37.891 (38.835)	Prec@5 62.500 (68.788)
Epoch: [83][6850/7045]	Time 0.109 (0.240)	Data 0.006 (0.177)	Loss 2.4751 (2.5156)	Prec@1 38.672 (38.837)	Prec@5 71.875 (68.792)
Epoch: [83][6860/7045]	Time 0.102 (0.240)	Data 0.006 (0.177)	Loss 2.5461 (2.5157)	Prec@1 39.453 (38.837)	Prec@5 67.188 (68.791)
Epoch: [83][6870/7045]	Time 0.109 (0.240)	Data 0.001 (0.177)	Loss 2.6629 (2.5158)	Prec@1 39.062 (38.837)	Prec@5 67.188 (68.789)
Epoch: [83][6880/7045]	Time 0.102 (0.240)	Data 0.001 (0.177)	Loss 2.6186 (2.5158)	Prec@1 37.500 (38.839)	Prec@5 67.578 (68.787)
Epoch: [83][6890/7045]	Time 0.108 (0.240)	Data 0.005 (0.177)	Loss 2.5783 (2.5158)	Prec@1 37.891 (38.838)	Prec@5 65.625 (68.787)
Epoch: [83][6900/7045]	Time 0.101 (0.240)	Data 0.005 (0.177)	Loss 2.5681 (2.5158)	Prec@1 38.281 (38.837)	Prec@5 67.578 (68.787)
Epoch: [83][6910/7045]	Time 0.109 (0.240)	Data 0.001 (0.177)	Loss 2.4700 (2.5158)	Prec@1 40.234 (38.838)	Prec@5 67.188 (68.786)
Epoch: [83][6920/7045]	Time 0.112 (0.240)	Data 0.059 (0.177)	Loss 2.6486 (2.5158)	Prec@1 34.375 (38.838)	Prec@5 64.453 (68.785)
Epoch: [83][6930/7045]	Time 0.109 (0.240)	Data 0.004 (0.177)	Loss 2.4826 (2.5159)	Prec@1 40.234 (38.838)	Prec@5 69.922 (68.784)
Epoch: [83][6940/7045]	Time 0.110 (0.240)	Data 0.058 (0.177)	Loss 2.2835 (2.5159)	Prec@1 46.094 (38.838)	Prec@5 73.438 (68.784)
Epoch: [83][6950/7045]	Time 0.108 (0.240)	Data 0.005 (0.177)	Loss 2.5241 (2.5158)	Prec@1 42.188 (38.841)	Prec@5 69.141 (68.785)
Epoch: [83][6960/7045]	Time 0.133 (0.240)	Data 0.081 (0.177)	Loss 2.2354 (2.5157)	Prec@1 48.438 (38.844)	Prec@5 70.312 (68.786)
Epoch: [83][6970/7045]	Time 0.112 (0.240)	Data 0.060 (0.177)	Loss 2.5524 (2.5158)	Prec@1 37.500 (38.840)	Prec@5 66.406 (68.783)
Epoch: [83][6980/7045]	Time 0.143 (0.240)	Data 0.090 (0.177)	Loss 2.5681 (2.5158)	Prec@1 36.328 (38.841)	Prec@5 69.141 (68.783)
Epoch: [83][6990/7045]	Time 0.102 (0.240)	Data 0.003 (0.177)	Loss 2.4505 (2.5159)	Prec@1 42.578 (38.840)	Prec@5 69.531 (68.782)
Epoch: [83][7000/7045]	Time 0.241 (0.240)	Data 0.189 (0.177)	Loss 2.6774 (2.5159)	Prec@1 38.281 (38.839)	Prec@5 65.234 (68.782)
Epoch: [83][7010/7045]	Time 0.102 (0.240)	Data 0.005 (0.177)	Loss 2.7566 (2.5159)	Prec@1 32.812 (38.838)	Prec@5 65.234 (68.782)
Epoch: [83][7020/7045]	Time 0.286 (0.240)	Data 0.235 (0.177)	Loss 2.3570 (2.5159)	Prec@1 42.578 (38.839)	Prec@5 72.266 (68.782)
Epoch: [83][7030/7045]	Time 0.102 (0.240)	Data 0.006 (0.177)	Loss 2.5047 (2.5159)	Prec@1 34.766 (38.838)	Prec@5 70.703 (68.782)
Epoch: [83][7040/7045]	Time 0.314 (0.240)	Data 0.262 (0.177)	Loss 2.4350 (2.5159)	Prec@1 38.672 (38.836)	Prec@5 69.922 (68.782)
Test: [0/143]	Time 1.301 (1.301)	Loss 2.1029 (2.1029)	Prec@1 47.656 (47.656)	Prec@5 77.734 (77.734)
Test: [10/143]	Time 0.049 (0.253)	Loss 1.6465 (1.9998)	Prec@1 60.156 (49.858)	Prec@5 83.594 (79.048)
Test: [20/143]	Time 0.410 (0.220)	Loss 2.1098 (1.9663)	Prec@1 46.484 (48.940)	Prec@5 75.000 (79.818)
Test: [30/143]	Time 0.049 (0.199)	Loss 2.3017 (1.9951)	Prec@1 44.922 (49.042)	Prec@5 69.531 (78.793)
Test: [40/143]	Time 0.367 (0.195)	Loss 2.7557 (2.0337)	Prec@1 22.656 (47.933)	Prec@5 65.625 (77.944)
Test: [50/143]	Time 0.123 (0.186)	Loss 1.9828 (2.0906)	Prec@1 41.797 (46.293)	Prec@5 81.250 (77.367)
Test: [60/143]	Time 0.403 (0.187)	Loss 2.3318 (2.0828)	Prec@1 35.547 (46.446)	Prec@5 73.438 (77.497)
Test: [70/143]	Time 0.117 (0.181)	Loss 3.0151 (2.0756)	Prec@1 23.828 (46.633)	Prec@5 58.594 (77.619)
Test: [80/143]	Time 0.297 (0.181)	Loss 1.9864 (2.0619)	Prec@1 46.875 (46.904)	Prec@5 82.031 (78.004)
Test: [90/143]	Time 0.103 (0.178)	Loss 1.6756 (2.0538)	Prec@1 53.516 (46.987)	Prec@5 88.281 (78.164)
Test: [100/143]	Time 0.299 (0.178)	Loss 1.8910 (2.0541)	Prec@1 53.125 (46.914)	Prec@5 83.203 (78.260)
Test: [110/143]	Time 0.207 (0.177)	Loss 1.8624 (2.0486)	Prec@1 54.297 (47.245)	Prec@5 80.469 (78.361)
Test: [120/143]	Time 0.240 (0.176)	Loss 1.6575 (2.0410)	Prec@1 60.156 (47.559)	Prec@5 85.547 (78.470)
Test: [130/143]	Time 0.104 (0.175)	Loss 1.6016 (2.0500)	Prec@1 63.281 (47.433)	Prec@5 80.859 (78.265)
Test: [140/143]	Time 0.258 (0.175)	Loss 3.0281 (2.0753)	Prec@1 23.438 (46.828)	Prec@5 65.234 (77.820)
 * Prec@1 46.847 Prec@5 77.819
Epoch: [84][0/7045]	Time 2.707 (2.707)	Data 2.649 (2.649)	Loss 2.5059 (2.5059)	Prec@1 36.328 (36.328)	Prec@5 69.141 (69.141)
Epoch: [84][10/7045]	Time 0.102 (0.443)	Data 0.001 (0.361)	Loss 2.5393 (2.5167)	Prec@1 40.234 (38.885)	Prec@5 66.406 (68.608)
Epoch: [84][20/7045]	Time 0.581 (0.357)	Data 0.523 (0.282)	Loss 2.5658 (2.4951)	Prec@1 38.281 (39.360)	Prec@5 67.578 (68.787)
Epoch: [84][30/7045]	Time 0.102 (0.311)	Data 0.004 (0.238)	Loss 2.5364 (2.4836)	Prec@1 38.672 (39.567)	Prec@5 66.016 (68.788)
Epoch: [84][40/7045]	Time 0.107 (0.303)	Data 0.003 (0.231)	Loss 2.4654 (2.4871)	Prec@1 39.844 (39.348)	Prec@5 75.391 (69.103)
Epoch: [84][50/7045]	Time 0.101 (0.286)	Data 0.004 (0.212)	Loss 2.5271 (2.4842)	Prec@1 35.547 (39.354)	Prec@5 68.750 (69.393)
Epoch: [84][60/7045]	Time 0.106 (0.283)	Data 0.005 (0.208)	Loss 2.4374 (2.4922)	Prec@1 41.016 (39.133)	Prec@5 71.484 (69.275)
Epoch: [84][70/7045]	Time 0.240 (0.275)	Data 0.188 (0.202)	Loss 2.6667 (2.4951)	Prec@1 39.062 (39.283)	Prec@5 68.359 (69.168)
Epoch: [84][80/7045]	Time 0.107 (0.272)	Data 0.054 (0.202)	Loss 2.7540 (2.4965)	Prec@1 33.594 (39.198)	Prec@5 64.453 (69.039)
Epoch: [84][90/7045]	Time 0.518 (0.270)	Data 0.466 (0.202)	Loss 2.5528 (2.4914)	Prec@1 37.500 (39.311)	Prec@5 68.359 (69.132)
Epoch: [84][100/7045]	Time 0.102 (0.265)	Data 0.006 (0.198)	Loss 2.4467 (2.4926)	Prec@1 41.016 (39.248)	Prec@5 69.922 (69.179)
Epoch: [84][110/7045]	Time 0.573 (0.266)	Data 0.514 (0.198)	Loss 2.7344 (2.4966)	Prec@1 35.547 (39.048)	Prec@5 65.625 (68.993)
Epoch: [84][120/7045]	Time 0.138 (0.262)	Data 0.080 (0.195)	Loss 2.3586 (2.4994)	Prec@1 41.797 (38.943)	Prec@5 73.047 (68.986)
Epoch: [84][130/7045]	Time 0.514 (0.262)	Data 0.457 (0.195)	Loss 2.7019 (2.5031)	Prec@1 33.984 (38.952)	Prec@5 66.797 (68.947)
Epoch: [84][140/7045]	Time 0.253 (0.259)	Data 0.200 (0.193)	Loss 2.5257 (2.5050)	Prec@1 35.938 (38.874)	Prec@5 65.234 (68.858)
Epoch: [84][150/7045]	Time 0.262 (0.258)	Data 0.209 (0.193)	Loss 2.5268 (2.5047)	Prec@1 37.891 (38.918)	Prec@5 69.141 (68.908)
Epoch: [84][160/7045]	Time 0.285 (0.256)	Data 0.233 (0.192)	Loss 2.6521 (2.5059)	Prec@1 39.844 (38.834)	Prec@5 69.141 (68.927)
Epoch: [84][170/7045]	Time 0.101 (0.257)	Data 0.001 (0.192)	Loss 2.4709 (2.5062)	Prec@1 40.234 (38.827)	Prec@5 68.750 (68.898)
Epoch: [84][180/7045]	Time 0.185 (0.255)	Data 0.133 (0.190)	Loss 2.5098 (2.5066)	Prec@1 41.016 (38.870)	Prec@5 71.484 (68.920)
Epoch: [84][190/7045]	Time 0.193 (0.254)	Data 0.141 (0.190)	Loss 2.5983 (2.5093)	Prec@1 37.891 (38.889)	Prec@5 69.531 (68.873)
Epoch: [84][200/7045]	Time 0.102 (0.253)	Data 0.044 (0.190)	Loss 2.5971 (2.5081)	Prec@1 36.719 (38.890)	Prec@5 68.750 (68.882)
Epoch: [84][210/7045]	Time 0.201 (0.253)	Data 0.149 (0.189)	Loss 2.4767 (2.5070)	Prec@1 40.625 (38.972)	Prec@5 69.531 (68.896)
Epoch: [84][220/7045]	Time 0.175 (0.253)	Data 0.124 (0.190)	Loss 2.6003 (2.5058)	Prec@1 37.500 (38.994)	Prec@5 64.453 (68.911)
Epoch: [84][230/7045]	Time 0.194 (0.252)	Data 0.142 (0.189)	Loss 2.3913 (2.5055)	Prec@1 41.797 (39.046)	Prec@5 70.703 (68.901)
Epoch: [84][240/7045]	Time 0.280 (0.252)	Data 0.229 (0.189)	Loss 2.3287 (2.5047)	Prec@1 41.406 (39.067)	Prec@5 72.266 (68.862)
Epoch: [84][250/7045]	Time 0.101 (0.251)	Data 0.045 (0.189)	Loss 2.5412 (2.5042)	Prec@1 38.281 (39.058)	Prec@5 67.969 (68.898)
Epoch: [84][260/7045]	Time 0.235 (0.251)	Data 0.182 (0.188)	Loss 2.4806 (2.5055)	Prec@1 36.328 (39.030)	Prec@5 71.484 (68.906)
Epoch: [84][270/7045]	Time 0.161 (0.250)	Data 0.108 (0.189)	Loss 2.4939 (2.5052)	Prec@1 43.750 (39.101)	Prec@5 64.453 (68.865)
Epoch: [84][280/7045]	Time 0.195 (0.250)	Data 0.143 (0.188)	Loss 2.7529 (2.5057)	Prec@1 35.547 (39.092)	Prec@5 62.109 (68.865)
Epoch: [84][290/7045]	Time 0.459 (0.250)	Data 0.401 (0.189)	Loss 2.5261 (2.5052)	Prec@1 37.891 (39.109)	Prec@5 71.094 (68.902)
Epoch: [84][300/7045]	Time 0.102 (0.249)	Data 0.001 (0.187)	Loss 2.4285 (2.5042)	Prec@1 42.188 (39.134)	Prec@5 70.312 (68.947)
Epoch: [84][310/7045]	Time 0.461 (0.250)	Data 0.401 (0.188)	Loss 2.8621 (2.5032)	Prec@1 31.641 (39.143)	Prec@5 63.281 (68.941)
Epoch: [84][320/7045]	Time 0.269 (0.249)	Data 0.212 (0.187)	Loss 2.5352 (2.5027)	Prec@1 39.844 (39.151)	Prec@5 66.406 (68.964)
Epoch: [84][330/7045]	Time 0.344 (0.249)	Data 0.285 (0.187)	Loss 2.5262 (2.5027)	Prec@1 37.891 (39.144)	Prec@5 70.312 (68.980)
Epoch: [84][340/7045]	Time 0.357 (0.248)	Data 0.304 (0.187)	Loss 2.4136 (2.5010)	Prec@1 39.844 (39.158)	Prec@5 71.484 (69.017)
Epoch: [84][350/7045]	Time 0.247 (0.248)	Data 0.195 (0.186)	Loss 2.4493 (2.4997)	Prec@1 37.500 (39.185)	Prec@5 70.703 (69.035)
Epoch: [84][360/7045]	Time 0.265 (0.248)	Data 0.214 (0.186)	Loss 2.3933 (2.4999)	Prec@1 41.016 (39.200)	Prec@5 71.094 (69.034)
Epoch: [84][370/7045]	Time 0.100 (0.248)	Data 0.001 (0.186)	Loss 2.7041 (2.5017)	Prec@1 36.719 (39.205)	Prec@5 62.500 (69.002)
Epoch: [84][380/7045]	Time 0.110 (0.247)	Data 0.056 (0.185)	Loss 2.3647 (2.5010)	Prec@1 40.234 (39.222)	Prec@5 73.828 (69.030)
Epoch: [84][390/7045]	Time 0.148 (0.248)	Data 0.096 (0.186)	Loss 2.6323 (2.5023)	Prec@1 35.938 (39.178)	Prec@5 66.406 (68.983)
Epoch: [84][400/7045]	Time 0.102 (0.247)	Data 0.003 (0.185)	Loss 2.6806 (2.5047)	Prec@1 39.844 (39.129)	Prec@5 69.531 (68.939)
Epoch: [84][410/7045]	Time 0.108 (0.247)	Data 0.055 (0.185)	Loss 2.5355 (2.5054)	Prec@1 39.062 (39.097)	Prec@5 69.141 (68.926)
Epoch: [84][420/7045]	Time 0.306 (0.247)	Data 0.253 (0.185)	Loss 2.6499 (2.5038)	Prec@1 39.453 (39.144)	Prec@5 65.625 (68.951)
Epoch: [84][430/7045]	Time 0.164 (0.247)	Data 0.111 (0.185)	Loss 2.3431 (2.5041)	Prec@1 41.016 (39.131)	Prec@5 70.312 (68.946)
Epoch: [84][440/7045]	Time 0.637 (0.247)	Data 0.584 (0.186)	Loss 2.4017 (2.5023)	Prec@1 44.922 (39.182)	Prec@5 73.047 (69.012)
Epoch: [84][450/7045]	Time 0.102 (0.246)	Data 0.005 (0.185)	Loss 2.5325 (2.5010)	Prec@1 39.844 (39.209)	Prec@5 69.141 (69.028)
Epoch: [84][460/7045]	Time 0.497 (0.247)	Data 0.445 (0.185)	Loss 2.6432 (2.5007)	Prec@1 35.156 (39.212)	Prec@5 61.719 (69.037)
Epoch: [84][470/7045]	Time 0.205 (0.246)	Data 0.146 (0.185)	Loss 2.4998 (2.5009)	Prec@1 40.234 (39.211)	Prec@5 71.484 (69.049)
Epoch: [84][480/7045]	Time 0.342 (0.246)	Data 0.286 (0.185)	Loss 2.4127 (2.4994)	Prec@1 38.281 (39.234)	Prec@5 72.266 (69.084)
Epoch: [84][490/7045]	Time 0.316 (0.246)	Data 0.263 (0.185)	Loss 2.7519 (2.5003)	Prec@1 30.469 (39.187)	Prec@5 67.969 (69.079)
Epoch: [84][500/7045]	Time 0.281 (0.246)	Data 0.223 (0.185)	Loss 2.2427 (2.5000)	Prec@1 44.141 (39.216)	Prec@5 73.438 (69.095)
Epoch: [84][510/7045]	Time 0.323 (0.246)	Data 0.271 (0.185)	Loss 2.2398 (2.5000)	Prec@1 39.062 (39.199)	Prec@5 73.828 (69.086)
Epoch: [84][520/7045]	Time 0.113 (0.246)	Data 0.053 (0.185)	Loss 2.6103 (2.5008)	Prec@1 35.938 (39.181)	Prec@5 71.484 (69.074)
Epoch: [84][530/7045]	Time 0.185 (0.245)	Data 0.133 (0.184)	Loss 2.5223 (2.5007)	Prec@1 37.109 (39.173)	Prec@5 68.359 (69.066)
Epoch: [84][540/7045]	Time 0.107 (0.246)	Data 0.053 (0.185)	Loss 2.4097 (2.5002)	Prec@1 38.672 (39.195)	Prec@5 69.922 (69.066)
Epoch: [84][550/7045]	Time 0.208 (0.245)	Data 0.156 (0.184)	Loss 2.4867 (2.5008)	Prec@1 40.234 (39.187)	Prec@5 69.922 (69.059)
Epoch: [84][560/7045]	Time 0.197 (0.245)	Data 0.145 (0.184)	Loss 2.4823 (2.5014)	Prec@1 37.891 (39.154)	Prec@5 71.094 (69.053)
Epoch: [84][570/7045]	Time 0.164 (0.245)	Data 0.111 (0.184)	Loss 2.2870 (2.5005)	Prec@1 44.922 (39.166)	Prec@5 71.484 (69.050)
Epoch: [84][580/7045]	Time 0.291 (0.245)	Data 0.239 (0.184)	Loss 2.5899 (2.5008)	Prec@1 40.625 (39.169)	Prec@5 66.406 (69.034)
Epoch: [84][590/7045]	Time 0.406 (0.245)	Data 0.353 (0.185)	Loss 2.6781 (2.5014)	Prec@1 35.156 (39.154)	Prec@5 66.406 (69.024)
Epoch: [84][600/7045]	Time 0.279 (0.245)	Data 0.228 (0.184)	Loss 2.2873 (2.5027)	Prec@1 44.141 (39.140)	Prec@5 75.000 (68.992)
Epoch: [84][610/7045]	Time 0.547 (0.245)	Data 0.494 (0.184)	Loss 2.3962 (2.5024)	Prec@1 40.625 (39.149)	Prec@5 70.703 (68.988)
Epoch: [84][620/7045]	Time 0.108 (0.245)	Data 0.056 (0.184)	Loss 2.5701 (2.5020)	Prec@1 35.156 (39.174)	Prec@5 69.922 (69.010)
Epoch: [84][630/7045]	Time 0.465 (0.245)	Data 0.412 (0.184)	Loss 2.5105 (2.5028)	Prec@1 38.672 (39.160)	Prec@5 69.531 (68.985)
Epoch: [84][640/7045]	Time 0.108 (0.245)	Data 0.005 (0.183)	Loss 2.5557 (2.5033)	Prec@1 38.672 (39.144)	Prec@5 66.797 (68.965)
Epoch: [84][650/7045]	Time 0.390 (0.245)	Data 0.337 (0.183)	Loss 2.5553 (2.5032)	Prec@1 39.453 (39.142)	Prec@5 67.969 (68.962)
Epoch: [84][660/7045]	Time 0.102 (0.244)	Data 0.005 (0.183)	Loss 2.4447 (2.5032)	Prec@1 41.797 (39.161)	Prec@5 73.047 (68.954)
Epoch: [84][670/7045]	Time 0.273 (0.245)	Data 0.221 (0.183)	Loss 2.5455 (2.5038)	Prec@1 40.234 (39.152)	Prec@5 72.266 (68.941)
Epoch: [84][680/7045]	Time 0.102 (0.244)	Data 0.001 (0.183)	Loss 2.5202 (2.5040)	Prec@1 39.062 (39.134)	Prec@5 67.188 (68.935)
Epoch: [84][690/7045]	Time 0.102 (0.244)	Data 0.005 (0.183)	Loss 2.5414 (2.5040)	Prec@1 41.797 (39.139)	Prec@5 66.016 (68.932)
Epoch: [84][700/7045]	Time 0.102 (0.244)	Data 0.001 (0.182)	Loss 2.4996 (2.5044)	Prec@1 39.844 (39.149)	Prec@5 67.188 (68.915)
Epoch: [84][710/7045]	Time 0.242 (0.245)	Data 0.190 (0.183)	Loss 2.4989 (2.5040)	Prec@1 42.969 (39.165)	Prec@5 68.750 (68.930)
Epoch: [84][720/7045]	Time 0.103 (0.244)	Data 0.001 (0.182)	Loss 2.4252 (2.5034)	Prec@1 39.844 (39.167)	Prec@5 71.094 (68.942)
Epoch: [84][730/7045]	Time 0.130 (0.244)	Data 0.077 (0.182)	Loss 2.3607 (2.5028)	Prec@1 43.750 (39.184)	Prec@5 73.438 (68.963)
Epoch: [84][740/7045]	Time 0.562 (0.244)	Data 0.510 (0.182)	Loss 2.3003 (2.5037)	Prec@1 41.016 (39.169)	Prec@5 72.656 (68.946)
Epoch: [84][750/7045]	Time 0.102 (0.244)	Data 0.001 (0.182)	Loss 2.4530 (2.5042)	Prec@1 35.938 (39.166)	Prec@5 68.359 (68.949)
Epoch: [84][760/7045]	Time 0.539 (0.244)	Data 0.487 (0.182)	Loss 2.4222 (2.5041)	Prec@1 40.234 (39.168)	Prec@5 72.266 (68.963)
Epoch: [84][770/7045]	Time 0.102 (0.244)	Data 0.001 (0.181)	Loss 2.5854 (2.5048)	Prec@1 37.891 (39.170)	Prec@5 64.062 (68.945)
Epoch: [84][780/7045]	Time 0.388 (0.244)	Data 0.335 (0.181)	Loss 2.5468 (2.5055)	Prec@1 35.938 (39.161)	Prec@5 68.359 (68.932)
Epoch: [84][790/7045]	Time 0.103 (0.244)	Data 0.001 (0.181)	Loss 2.6617 (2.5056)	Prec@1 36.328 (39.153)	Prec@5 66.016 (68.934)
Epoch: [84][800/7045]	Time 0.136 (0.244)	Data 0.083 (0.181)	Loss 2.5785 (2.5053)	Prec@1 38.281 (39.149)	Prec@5 67.188 (68.944)
Epoch: [84][810/7045]	Time 0.102 (0.244)	Data 0.004 (0.181)	Loss 2.3761 (2.5053)	Prec@1 40.234 (39.159)	Prec@5 70.312 (68.949)
Epoch: [84][820/7045]	Time 0.102 (0.244)	Data 0.001 (0.181)	Loss 2.2844 (2.5050)	Prec@1 41.016 (39.153)	Prec@5 74.219 (68.960)
Epoch: [84][830/7045]	Time 0.101 (0.244)	Data 0.001 (0.180)	Loss 2.7133 (2.5053)	Prec@1 32.031 (39.136)	Prec@5 64.453 (68.952)
Epoch: [84][840/7045]	Time 0.102 (0.244)	Data 0.005 (0.180)	Loss 2.5029 (2.5058)	Prec@1 37.891 (39.125)	Prec@5 69.922 (68.944)
Epoch: [84][850/7045]	Time 0.145 (0.243)	Data 0.093 (0.180)	Loss 2.4651 (2.5058)	Prec@1 41.406 (39.122)	Prec@5 73.438 (68.937)
Epoch: [84][860/7045]	Time 0.103 (0.244)	Data 0.003 (0.180)	Loss 2.6118 (2.5064)	Prec@1 40.625 (39.112)	Prec@5 66.406 (68.926)
Epoch: [84][870/7045]	Time 0.373 (0.244)	Data 0.321 (0.179)	Loss 2.4388 (2.5063)	Prec@1 39.453 (39.113)	Prec@5 71.484 (68.927)
Epoch: [84][880/7045]	Time 0.102 (0.243)	Data 0.004 (0.179)	Loss 2.5027 (2.5065)	Prec@1 35.938 (39.099)	Prec@5 68.750 (68.935)
Epoch: [84][890/7045]	Time 0.630 (0.244)	Data 0.572 (0.179)	Loss 2.4358 (2.5065)	Prec@1 39.844 (39.113)	Prec@5 68.750 (68.943)
Epoch: [84][900/7045]	Time 0.102 (0.243)	Data 0.001 (0.179)	Loss 2.6879 (2.5069)	Prec@1 33.984 (39.099)	Prec@5 64.062 (68.938)
Epoch: [84][910/7045]	Time 0.645 (0.244)	Data 0.594 (0.179)	Loss 2.6360 (2.5079)	Prec@1 36.328 (39.068)	Prec@5 66.016 (68.925)
Epoch: [84][920/7045]	Time 0.109 (0.243)	Data 0.001 (0.178)	Loss 2.5761 (2.5079)	Prec@1 40.234 (39.070)	Prec@5 66.797 (68.926)
Epoch: [84][930/7045]	Time 0.500 (0.243)	Data 0.448 (0.178)	Loss 2.4466 (2.5076)	Prec@1 40.625 (39.082)	Prec@5 69.531 (68.929)
Epoch: [84][940/7045]	Time 0.104 (0.243)	Data 0.001 (0.178)	Loss 2.4355 (2.5073)	Prec@1 37.891 (39.074)	Prec@5 67.578 (68.937)
Epoch: [84][950/7045]	Time 0.300 (0.243)	Data 0.248 (0.178)	Loss 2.4480 (2.5074)	Prec@1 40.234 (39.066)	Prec@5 71.094 (68.931)
Epoch: [84][960/7045]	Time 0.102 (0.243)	Data 0.001 (0.178)	Loss 2.3928 (2.5079)	Prec@1 42.969 (39.066)	Prec@5 70.312 (68.920)
Epoch: [84][970/7045]	Time 0.295 (0.243)	Data 0.244 (0.178)	Loss 2.3916 (2.5079)	Prec@1 37.500 (39.067)	Prec@5 66.406 (68.911)
Epoch: [84][980/7045]	Time 0.103 (0.243)	Data 0.001 (0.177)	Loss 2.3896 (2.5073)	Prec@1 42.969 (39.086)	Prec@5 71.094 (68.919)
Epoch: [84][990/7045]	Time 0.223 (0.243)	Data 0.171 (0.178)	Loss 2.4626 (2.5070)	Prec@1 38.281 (39.085)	Prec@5 69.531 (68.920)
Epoch: [84][1000/7045]	Time 0.102 (0.243)	Data 0.001 (0.177)	Loss 2.7112 (2.5072)	Prec@1 37.500 (39.087)	Prec@5 62.109 (68.921)
Epoch: [84][1010/7045]	Time 0.194 (0.243)	Data 0.135 (0.177)	Loss 2.7196 (2.5075)	Prec@1 38.281 (39.090)	Prec@5 64.844 (68.914)
Epoch: [84][1020/7045]	Time 0.102 (0.243)	Data 0.005 (0.177)	Loss 2.7226 (2.5079)	Prec@1 37.891 (39.070)	Prec@5 59.766 (68.895)
Epoch: [84][1030/7045]	Time 0.113 (0.243)	Data 0.053 (0.177)	Loss 2.6204 (2.5080)	Prec@1 36.328 (39.065)	Prec@5 68.359 (68.897)
Epoch: [84][1040/7045]	Time 0.101 (0.243)	Data 0.001 (0.177)	Loss 2.6277 (2.5080)	Prec@1 37.500 (39.070)	Prec@5 62.891 (68.895)
Epoch: [84][1050/7045]	Time 0.109 (0.243)	Data 0.006 (0.177)	Loss 2.3923 (2.5085)	Prec@1 39.453 (39.072)	Prec@5 72.656 (68.892)
Epoch: [84][1060/7045]	Time 0.112 (0.242)	Data 0.060 (0.176)	Loss 2.3819 (2.5080)	Prec@1 43.750 (39.085)	Prec@5 69.141 (68.894)
Epoch: [84][1070/7045]	Time 0.111 (0.243)	Data 0.059 (0.177)	Loss 2.6105 (2.5082)	Prec@1 40.625 (39.092)	Prec@5 69.141 (68.887)
Epoch: [84][1080/7045]	Time 0.110 (0.242)	Data 0.057 (0.176)	Loss 2.4257 (2.5082)	Prec@1 40.234 (39.091)	Prec@5 67.578 (68.884)
Epoch: [84][1090/7045]	Time 0.102 (0.242)	Data 0.006 (0.176)	Loss 2.6867 (2.5080)	Prec@1 33.984 (39.095)	Prec@5 68.750 (68.893)
Epoch: [84][1100/7045]	Time 0.102 (0.242)	Data 0.001 (0.176)	Loss 2.6325 (2.5078)	Prec@1 38.672 (39.100)	Prec@5 68.359 (68.901)
Epoch: [84][1110/7045]	Time 0.102 (0.242)	Data 0.003 (0.176)	Loss 2.5141 (2.5071)	Prec@1 37.500 (39.112)	Prec@5 68.359 (68.914)
Epoch: [84][1120/7045]	Time 0.100 (0.242)	Data 0.005 (0.176)	Loss 2.4515 (2.5076)	Prec@1 40.625 (39.105)	Prec@5 71.094 (68.906)
Epoch: [84][1130/7045]	Time 0.102 (0.242)	Data 0.008 (0.176)	Loss 2.5106 (2.5075)	Prec@1 40.625 (39.103)	Prec@5 71.094 (68.919)
Epoch: [84][1140/7045]	Time 0.126 (0.242)	Data 0.073 (0.176)	Loss 2.4998 (2.5076)	Prec@1 37.500 (39.096)	Prec@5 70.703 (68.907)
Epoch: [84][1150/7045]	Time 0.101 (0.242)	Data 0.005 (0.176)	Loss 2.5181 (2.5075)	Prec@1 42.188 (39.110)	Prec@5 66.016 (68.905)
Epoch: [84][1160/7045]	Time 0.177 (0.242)	Data 0.124 (0.176)	Loss 2.5173 (2.5069)	Prec@1 39.062 (39.136)	Prec@5 68.359 (68.912)
Epoch: [84][1170/7045]	Time 0.135 (0.242)	Data 0.082 (0.176)	Loss 2.6003 (2.5073)	Prec@1 39.062 (39.136)	Prec@5 67.188 (68.905)
Epoch: [84][1180/7045]	Time 0.206 (0.242)	Data 0.156 (0.176)	Loss 2.6371 (2.5074)	Prec@1 37.500 (39.128)	Prec@5 65.234 (68.905)
Epoch: [84][1190/7045]	Time 0.156 (0.242)	Data 0.104 (0.176)	Loss 2.6304 (2.5068)	Prec@1 37.500 (39.140)	Prec@5 66.797 (68.913)
Epoch: [84][1200/7045]	Time 0.212 (0.242)	Data 0.161 (0.176)	Loss 2.5550 (2.5072)	Prec@1 35.547 (39.133)	Prec@5 67.969 (68.898)
Epoch: [84][1210/7045]	Time 0.153 (0.242)	Data 0.100 (0.176)	Loss 2.6279 (2.5072)	Prec@1 35.938 (39.124)	Prec@5 65.625 (68.899)
Epoch: [84][1220/7045]	Time 0.367 (0.242)	Data 0.314 (0.177)	Loss 2.4730 (2.5066)	Prec@1 40.234 (39.137)	Prec@5 72.266 (68.912)
Epoch: [84][1230/7045]	Time 0.103 (0.242)	Data 0.001 (0.177)	Loss 2.6117 (2.5066)	Prec@1 39.062 (39.138)	Prec@5 69.531 (68.915)
Epoch: [84][1240/7045]	Time 0.428 (0.242)	Data 0.375 (0.177)	Loss 2.4576 (2.5067)	Prec@1 39.453 (39.132)	Prec@5 69.141 (68.914)
Epoch: [84][1250/7045]	Time 0.103 (0.242)	Data 0.002 (0.176)	Loss 2.4379 (2.5058)	Prec@1 40.234 (39.146)	Prec@5 67.969 (68.930)
Epoch: [84][1260/7045]	Time 0.563 (0.242)	Data 0.512 (0.177)	Loss 2.5808 (2.5059)	Prec@1 31.641 (39.135)	Prec@5 69.141 (68.933)
Epoch: [84][1270/7045]	Time 0.104 (0.242)	Data 0.051 (0.176)	Loss 2.4223 (2.5060)	Prec@1 39.062 (39.133)	Prec@5 71.484 (68.934)
Epoch: [84][1280/7045]	Time 0.599 (0.242)	Data 0.547 (0.177)	Loss 2.3957 (2.5057)	Prec@1 40.234 (39.125)	Prec@5 68.359 (68.945)
Epoch: [84][1290/7045]	Time 0.109 (0.242)	Data 0.055 (0.176)	Loss 2.6290 (2.5054)	Prec@1 35.156 (39.119)	Prec@5 65.625 (68.952)
Epoch: [84][1300/7045]	Time 0.621 (0.242)	Data 0.563 (0.176)	Loss 2.2841 (2.5055)	Prec@1 42.188 (39.121)	Prec@5 72.266 (68.943)
Epoch: [84][1310/7045]	Time 0.109 (0.242)	Data 0.001 (0.176)	Loss 2.3986 (2.5054)	Prec@1 39.844 (39.123)	Prec@5 69.141 (68.954)
Epoch: [84][1320/7045]	Time 0.572 (0.242)	Data 0.520 (0.176)	Loss 2.4395 (2.5052)	Prec@1 39.062 (39.128)	Prec@5 68.750 (68.951)
Epoch: [84][1330/7045]	Time 0.108 (0.242)	Data 0.001 (0.176)	Loss 2.5080 (2.5051)	Prec@1 39.062 (39.133)	Prec@5 67.188 (68.953)
Epoch: [84][1340/7045]	Time 0.617 (0.242)	Data 0.556 (0.176)	Loss 2.4543 (2.5048)	Prec@1 41.016 (39.133)	Prec@5 68.750 (68.956)
Epoch: [84][1350/7045]	Time 0.109 (0.242)	Data 0.056 (0.176)	Loss 2.6320 (2.5045)	Prec@1 37.891 (39.141)	Prec@5 65.625 (68.958)
Epoch: [84][1360/7045]	Time 0.571 (0.242)	Data 0.519 (0.176)	Loss 2.2933 (2.5045)	Prec@1 44.531 (39.137)	Prec@5 71.094 (68.962)
Epoch: [84][1370/7045]	Time 0.272 (0.242)	Data 0.220 (0.176)	Loss 2.5138 (2.5044)	Prec@1 39.453 (39.132)	Prec@5 68.750 (68.962)
Epoch: [84][1380/7045]	Time 0.497 (0.242)	Data 0.447 (0.176)	Loss 2.4252 (2.5042)	Prec@1 42.578 (39.139)	Prec@5 69.531 (68.963)
Epoch: [84][1390/7045]	Time 0.174 (0.241)	Data 0.121 (0.176)	Loss 2.5245 (2.5043)	Prec@1 39.453 (39.137)	Prec@5 68.359 (68.955)
Epoch: [84][1400/7045]	Time 0.469 (0.242)	Data 0.418 (0.176)	Loss 2.5321 (2.5038)	Prec@1 40.234 (39.142)	Prec@5 71.875 (68.969)
Epoch: [84][1410/7045]	Time 0.113 (0.241)	Data 0.060 (0.176)	Loss 2.4096 (2.5040)	Prec@1 44.922 (39.131)	Prec@5 68.750 (68.967)
Epoch: [84][1420/7045]	Time 0.424 (0.241)	Data 0.371 (0.176)	Loss 2.6483 (2.5042)	Prec@1 37.109 (39.128)	Prec@5 67.188 (68.961)
Epoch: [84][1430/7045]	Time 0.190 (0.241)	Data 0.138 (0.176)	Loss 2.5643 (2.5044)	Prec@1 36.328 (39.122)	Prec@5 69.141 (68.962)
Epoch: [84][1440/7045]	Time 0.495 (0.241)	Data 0.443 (0.176)	Loss 2.6015 (2.5047)	Prec@1 41.406 (39.119)	Prec@5 67.188 (68.951)
Epoch: [84][1450/7045]	Time 0.183 (0.241)	Data 0.130 (0.176)	Loss 2.6713 (2.5047)	Prec@1 33.203 (39.121)	Prec@5 69.141 (68.953)
Epoch: [84][1460/7045]	Time 0.516 (0.241)	Data 0.465 (0.176)	Loss 2.6171 (2.5048)	Prec@1 33.984 (39.116)	Prec@5 67.578 (68.957)
Epoch: [84][1470/7045]	Time 0.166 (0.241)	Data 0.114 (0.176)	Loss 2.4379 (2.5049)	Prec@1 42.969 (39.112)	Prec@5 70.312 (68.953)
Epoch: [84][1480/7045]	Time 0.482 (0.241)	Data 0.430 (0.176)	Loss 2.4231 (2.5047)	Prec@1 39.453 (39.116)	Prec@5 67.188 (68.956)
Epoch: [84][1490/7045]	Time 0.136 (0.241)	Data 0.085 (0.176)	Loss 2.4745 (2.5046)	Prec@1 39.453 (39.118)	Prec@5 65.625 (68.955)
Epoch: [84][1500/7045]	Time 0.452 (0.241)	Data 0.401 (0.176)	Loss 2.5505 (2.5045)	Prec@1 41.406 (39.122)	Prec@5 67.969 (68.953)
Epoch: [84][1510/7045]	Time 0.186 (0.241)	Data 0.135 (0.176)	Loss 2.3742 (2.5047)	Prec@1 34.766 (39.119)	Prec@5 73.438 (68.949)
Epoch: [84][1520/7045]	Time 0.381 (0.241)	Data 0.329 (0.176)	Loss 2.3586 (2.5048)	Prec@1 41.797 (39.116)	Prec@5 71.484 (68.951)
Epoch: [84][1530/7045]	Time 0.177 (0.241)	Data 0.125 (0.176)	Loss 2.5338 (2.5046)	Prec@1 39.844 (39.122)	Prec@5 70.312 (68.951)
Epoch: [84][1540/7045]	Time 0.343 (0.241)	Data 0.292 (0.176)	Loss 2.4903 (2.5048)	Prec@1 37.500 (39.121)	Prec@5 67.188 (68.942)
Epoch: [84][1550/7045]	Time 0.220 (0.241)	Data 0.168 (0.176)	Loss 2.2440 (2.5044)	Prec@1 44.922 (39.129)	Prec@5 72.266 (68.953)
Epoch: [84][1560/7045]	Time 0.291 (0.241)	Data 0.239 (0.176)	Loss 2.5624 (2.5039)	Prec@1 36.719 (39.135)	Prec@5 70.703 (68.961)
Epoch: [84][1570/7045]	Time 0.277 (0.241)	Data 0.226 (0.176)	Loss 2.5483 (2.5037)	Prec@1 34.766 (39.134)	Prec@5 68.750 (68.965)
Epoch: [84][1580/7045]	Time 0.204 (0.241)	Data 0.152 (0.176)	Loss 2.6818 (2.5037)	Prec@1 37.891 (39.136)	Prec@5 64.453 (68.966)
Epoch: [84][1590/7045]	Time 0.214 (0.241)	Data 0.162 (0.176)	Loss 2.4870 (2.5038)	Prec@1 39.844 (39.127)	Prec@5 67.188 (68.961)
Epoch: [84][1600/7045]	Time 0.146 (0.241)	Data 0.095 (0.177)	Loss 2.4635 (2.5040)	Prec@1 34.766 (39.120)	Prec@5 72.266 (68.957)
Epoch: [84][1610/7045]	Time 0.214 (0.241)	Data 0.163 (0.177)	Loss 2.6211 (2.5042)	Prec@1 38.672 (39.120)	Prec@5 67.578 (68.950)
Epoch: [84][1620/7045]	Time 0.102 (0.241)	Data 0.001 (0.177)	Loss 2.5035 (2.5041)	Prec@1 41.797 (39.125)	Prec@5 68.750 (68.947)
Epoch: [84][1630/7045]	Time 0.204 (0.241)	Data 0.152 (0.177)	Loss 2.4526 (2.5047)	Prec@1 44.141 (39.119)	Prec@5 67.578 (68.938)
Epoch: [84][1640/7045]	Time 0.102 (0.241)	Data 0.002 (0.177)	Loss 2.6712 (2.5049)	Prec@1 36.328 (39.112)	Prec@5 65.625 (68.938)
Epoch: [84][1650/7045]	Time 0.176 (0.241)	Data 0.123 (0.177)	Loss 2.4528 (2.5049)	Prec@1 43.750 (39.123)	Prec@5 70.312 (68.935)
Epoch: [84][1660/7045]	Time 0.102 (0.241)	Data 0.002 (0.177)	Loss 2.4492 (2.5050)	Prec@1 37.500 (39.109)	Prec@5 73.047 (68.933)
Epoch: [84][1670/7045]	Time 0.237 (0.241)	Data 0.185 (0.176)	Loss 2.3894 (2.5049)	Prec@1 46.484 (39.113)	Prec@5 72.266 (68.941)
Epoch: [84][1680/7045]	Time 0.110 (0.241)	Data 0.001 (0.177)	Loss 2.3992 (2.5049)	Prec@1 41.797 (39.114)	Prec@5 69.531 (68.931)
Epoch: [84][1690/7045]	Time 0.266 (0.241)	Data 0.214 (0.176)	Loss 2.3680 (2.5051)	Prec@1 42.578 (39.110)	Prec@5 68.750 (68.931)
Epoch: [84][1700/7045]	Time 0.107 (0.241)	Data 0.046 (0.177)	Loss 2.3831 (2.5049)	Prec@1 41.016 (39.116)	Prec@5 69.531 (68.927)
Epoch: [84][1710/7045]	Time 0.240 (0.241)	Data 0.188 (0.176)	Loss 2.4874 (2.5047)	Prec@1 37.891 (39.118)	Prec@5 70.703 (68.938)
Epoch: [84][1720/7045]	Time 0.111 (0.241)	Data 0.059 (0.176)	Loss 2.5702 (2.5046)	Prec@1 38.672 (39.123)	Prec@5 71.094 (68.943)
Epoch: [84][1730/7045]	Time 0.258 (0.241)	Data 0.205 (0.176)	Loss 2.5746 (2.5045)	Prec@1 36.328 (39.115)	Prec@5 68.750 (68.939)
Epoch: [84][1740/7045]	Time 0.218 (0.241)	Data 0.166 (0.176)	Loss 2.4250 (2.5049)	Prec@1 42.578 (39.110)	Prec@5 70.312 (68.929)
Epoch: [84][1750/7045]	Time 0.244 (0.241)	Data 0.193 (0.176)	Loss 2.5409 (2.5051)	Prec@1 39.062 (39.106)	Prec@5 67.969 (68.925)
Epoch: [84][1760/7045]	Time 0.181 (0.241)	Data 0.123 (0.176)	Loss 2.7421 (2.5050)	Prec@1 37.891 (39.106)	Prec@5 60.547 (68.922)
Epoch: [84][1770/7045]	Time 0.216 (0.241)	Data 0.165 (0.176)	Loss 2.6053 (2.5054)	Prec@1 35.156 (39.097)	Prec@5 68.359 (68.915)
Epoch: [84][1780/7045]	Time 0.190 (0.241)	Data 0.133 (0.177)	Loss 2.8128 (2.5056)	Prec@1 35.547 (39.093)	Prec@5 62.500 (68.913)
Epoch: [84][1790/7045]	Time 0.214 (0.241)	Data 0.162 (0.176)	Loss 2.6672 (2.5057)	Prec@1 33.594 (39.091)	Prec@5 64.453 (68.911)
Epoch: [84][1800/7045]	Time 0.212 (0.241)	Data 0.153 (0.177)	Loss 2.8095 (2.5059)	Prec@1 40.234 (39.090)	Prec@5 60.547 (68.906)
Epoch: [84][1810/7045]	Time 0.221 (0.240)	Data 0.169 (0.177)	Loss 2.4620 (2.5059)	Prec@1 41.797 (39.093)	Prec@5 68.359 (68.912)
Epoch: [84][1820/7045]	Time 0.232 (0.241)	Data 0.173 (0.177)	Loss 2.4085 (2.5057)	Prec@1 42.188 (39.103)	Prec@5 70.703 (68.917)
Epoch: [84][1830/7045]	Time 0.170 (0.240)	Data 0.118 (0.177)	Loss 2.6395 (2.5057)	Prec@1 37.891 (39.103)	Prec@5 68.750 (68.916)
Epoch: [84][1840/7045]	Time 0.250 (0.241)	Data 0.194 (0.177)	Loss 2.4937 (2.5055)	Prec@1 37.891 (39.106)	Prec@5 69.531 (68.918)
Epoch: [84][1850/7045]	Time 0.202 (0.240)	Data 0.151 (0.177)	Loss 2.4024 (2.5058)	Prec@1 41.797 (39.105)	Prec@5 69.922 (68.913)
Epoch: [84][1860/7045]	Time 0.236 (0.240)	Data 0.184 (0.177)	Loss 2.5724 (2.5058)	Prec@1 39.062 (39.104)	Prec@5 67.188 (68.912)
Epoch: [84][1870/7045]	Time 0.222 (0.240)	Data 0.170 (0.177)	Loss 2.6758 (2.5059)	Prec@1 33.984 (39.106)	Prec@5 64.062 (68.910)
Epoch: [84][1880/7045]	Time 0.237 (0.240)	Data 0.185 (0.177)	Loss 2.3608 (2.5061)	Prec@1 42.578 (39.107)	Prec@5 72.266 (68.902)
Epoch: [84][1890/7045]	Time 0.229 (0.240)	Data 0.177 (0.177)	Loss 2.6556 (2.5062)	Prec@1 35.547 (39.103)	Prec@5 64.453 (68.901)
Epoch: [84][1900/7045]	Time 0.339 (0.240)	Data 0.280 (0.177)	Loss 2.3548 (2.5061)	Prec@1 43.750 (39.104)	Prec@5 73.438 (68.906)
Epoch: [84][1910/7045]	Time 0.205 (0.240)	Data 0.153 (0.177)	Loss 2.4852 (2.5062)	Prec@1 39.453 (39.107)	Prec@5 67.969 (68.906)
Epoch: [84][1920/7045]	Time 0.383 (0.240)	Data 0.331 (0.177)	Loss 2.5017 (2.5062)	Prec@1 41.406 (39.108)	Prec@5 71.484 (68.907)
Epoch: [84][1930/7045]	Time 0.172 (0.240)	Data 0.120 (0.177)	Loss 2.5383 (2.5063)	Prec@1 37.109 (39.112)	Prec@5 69.922 (68.909)
Epoch: [84][1940/7045]	Time 0.428 (0.240)	Data 0.376 (0.177)	Loss 2.6810 (2.5061)	Prec@1 32.812 (39.106)	Prec@5 65.625 (68.913)
Epoch: [84][1950/7045]	Time 0.281 (0.240)	Data 0.230 (0.177)	Loss 2.4845 (2.5061)	Prec@1 36.719 (39.101)	Prec@5 70.703 (68.912)
Epoch: [84][1960/7045]	Time 0.343 (0.240)	Data 0.292 (0.177)	Loss 2.4760 (2.5060)	Prec@1 39.844 (39.110)	Prec@5 71.094 (68.914)
Epoch: [84][1970/7045]	Time 0.284 (0.240)	Data 0.233 (0.177)	Loss 2.5334 (2.5059)	Prec@1 35.156 (39.112)	Prec@5 67.188 (68.915)
Epoch: [84][1980/7045]	Time 0.339 (0.240)	Data 0.287 (0.177)	Loss 2.3348 (2.5060)	Prec@1 44.922 (39.115)	Prec@5 73.438 (68.917)
Epoch: [84][1990/7045]	Time 0.271 (0.240)	Data 0.220 (0.177)	Loss 2.4749 (2.5062)	Prec@1 39.844 (39.113)	Prec@5 67.578 (68.912)
Epoch: [84][2000/7045]	Time 0.353 (0.240)	Data 0.302 (0.177)	Loss 2.3789 (2.5062)	Prec@1 43.359 (39.111)	Prec@5 69.922 (68.912)
Epoch: [84][2010/7045]	Time 0.291 (0.240)	Data 0.239 (0.177)	Loss 2.2269 (2.5059)	Prec@1 44.531 (39.114)	Prec@5 73.047 (68.916)
Epoch: [84][2020/7045]	Time 0.370 (0.240)	Data 0.319 (0.177)	Loss 2.4063 (2.5058)	Prec@1 39.844 (39.122)	Prec@5 69.922 (68.917)
Epoch: [84][2030/7045]	Time 0.289 (0.240)	Data 0.237 (0.177)	Loss 2.6823 (2.5061)	Prec@1 35.938 (39.113)	Prec@5 62.891 (68.905)
Epoch: [84][2040/7045]	Time 0.336 (0.240)	Data 0.284 (0.177)	Loss 2.4798 (2.5060)	Prec@1 41.797 (39.109)	Prec@5 68.750 (68.910)
Epoch: [84][2050/7045]	Time 0.301 (0.240)	Data 0.250 (0.177)	Loss 2.4863 (2.5059)	Prec@1 42.188 (39.116)	Prec@5 67.188 (68.910)
Epoch: [84][2060/7045]	Time 0.408 (0.240)	Data 0.355 (0.177)	Loss 2.3724 (2.5059)	Prec@1 36.719 (39.112)	Prec@5 73.438 (68.911)
Epoch: [84][2070/7045]	Time 0.173 (0.240)	Data 0.121 (0.177)	Loss 2.6662 (2.5061)	Prec@1 33.594 (39.102)	Prec@5 66.406 (68.909)
Epoch: [84][2080/7045]	Time 0.477 (0.240)	Data 0.425 (0.177)	Loss 2.6004 (2.5062)	Prec@1 40.234 (39.098)	Prec@5 69.922 (68.906)
Epoch: [84][2090/7045]	Time 0.148 (0.240)	Data 0.089 (0.177)	Loss 2.6244 (2.5063)	Prec@1 39.844 (39.102)	Prec@5 67.188 (68.905)
Epoch: [84][2100/7045]	Time 0.479 (0.240)	Data 0.427 (0.177)	Loss 2.3542 (2.5059)	Prec@1 44.922 (39.111)	Prec@5 73.438 (68.916)
Epoch: [84][2110/7045]	Time 0.154 (0.240)	Data 0.101 (0.177)	Loss 2.5647 (2.5058)	Prec@1 38.281 (39.116)	Prec@5 68.359 (68.911)
Epoch: [84][2120/7045]	Time 0.435 (0.240)	Data 0.383 (0.177)	Loss 2.3917 (2.5057)	Prec@1 41.016 (39.116)	Prec@5 74.609 (68.913)
Epoch: [84][2130/7045]	Time 0.112 (0.240)	Data 0.060 (0.177)	Loss 2.5089 (2.5058)	Prec@1 38.672 (39.117)	Prec@5 70.312 (68.914)
Epoch: [84][2140/7045]	Time 0.433 (0.240)	Data 0.381 (0.177)	Loss 2.6281 (2.5057)	Prec@1 35.938 (39.113)	Prec@5 64.844 (68.918)
Epoch: [84][2150/7045]	Time 0.110 (0.240)	Data 0.058 (0.177)	Loss 2.4427 (2.5059)	Prec@1 42.188 (39.112)	Prec@5 68.750 (68.911)
Epoch: [84][2160/7045]	Time 0.451 (0.240)	Data 0.399 (0.177)	Loss 2.3451 (2.5059)	Prec@1 39.453 (39.111)	Prec@5 70.312 (68.912)
Epoch: [84][2170/7045]	Time 0.109 (0.240)	Data 0.001 (0.177)	Loss 2.4663 (2.5058)	Prec@1 37.891 (39.114)	Prec@5 72.266 (68.912)
Epoch: [84][2180/7045]	Time 0.437 (0.240)	Data 0.385 (0.177)	Loss 2.6306 (2.5063)	Prec@1 38.672 (39.102)	Prec@5 69.141 (68.911)
Epoch: [84][2190/7045]	Time 0.103 (0.240)	Data 0.002 (0.177)	Loss 2.6548 (2.5062)	Prec@1 33.984 (39.094)	Prec@5 64.844 (68.909)
Epoch: [84][2200/7045]	Time 0.448 (0.240)	Data 0.395 (0.177)	Loss 2.2424 (2.5061)	Prec@1 46.094 (39.100)	Prec@5 73.047 (68.909)
Epoch: [84][2210/7045]	Time 0.101 (0.240)	Data 0.001 (0.177)	Loss 2.3870 (2.5062)	Prec@1 41.797 (39.100)	Prec@5 71.484 (68.908)
Epoch: [84][2220/7045]	Time 0.449 (0.240)	Data 0.396 (0.177)	Loss 2.6990 (2.5062)	Prec@1 36.719 (39.102)	Prec@5 64.844 (68.904)
Epoch: [84][2230/7045]	Time 0.107 (0.240)	Data 0.053 (0.177)	Loss 2.5067 (2.5059)	Prec@1 42.578 (39.112)	Prec@5 67.188 (68.909)
Epoch: [84][2240/7045]	Time 0.447 (0.240)	Data 0.395 (0.177)	Loss 2.7061 (2.5059)	Prec@1 32.422 (39.107)	Prec@5 62.891 (68.908)
Epoch: [84][2250/7045]	Time 0.107 (0.240)	Data 0.053 (0.177)	Loss 2.6339 (2.5057)	Prec@1 37.109 (39.107)	Prec@5 67.969 (68.913)
Epoch: [84][2260/7045]	Time 0.443 (0.240)	Data 0.390 (0.177)	Loss 2.5652 (2.5060)	Prec@1 39.453 (39.099)	Prec@5 69.922 (68.908)
Epoch: [84][2270/7045]	Time 0.107 (0.240)	Data 0.053 (0.177)	Loss 2.5150 (2.5060)	Prec@1 39.062 (39.092)	Prec@5 64.844 (68.909)
Epoch: [84][2280/7045]	Time 0.448 (0.240)	Data 0.395 (0.177)	Loss 2.5721 (2.5058)	Prec@1 37.109 (39.094)	Prec@5 66.406 (68.915)
Epoch: [84][2290/7045]	Time 0.162 (0.240)	Data 0.110 (0.177)	Loss 2.3073 (2.5057)	Prec@1 40.234 (39.101)	Prec@5 73.828 (68.919)
Epoch: [84][2300/7045]	Time 0.470 (0.240)	Data 0.411 (0.177)	Loss 2.3160 (2.5059)	Prec@1 44.531 (39.103)	Prec@5 74.609 (68.917)
Epoch: [84][2310/7045]	Time 0.287 (0.240)	Data 0.235 (0.177)	Loss 2.3926 (2.5058)	Prec@1 37.891 (39.100)	Prec@5 72.266 (68.923)
Epoch: [84][2320/7045]	Time 0.441 (0.240)	Data 0.388 (0.177)	Loss 2.5781 (2.5060)	Prec@1 42.188 (39.102)	Prec@5 64.453 (68.920)
Epoch: [84][2330/7045]	Time 0.399 (0.240)	Data 0.346 (0.177)	Loss 2.6001 (2.5061)	Prec@1 36.328 (39.095)	Prec@5 65.234 (68.916)
Epoch: [84][2340/7045]	Time 0.417 (0.240)	Data 0.366 (0.177)	Loss 2.5585 (2.5062)	Prec@1 38.281 (39.093)	Prec@5 68.750 (68.914)
Epoch: [84][2350/7045]	Time 0.308 (0.240)	Data 0.250 (0.177)	Loss 2.6332 (2.5063)	Prec@1 36.719 (39.088)	Prec@5 69.141 (68.916)
Epoch: [84][2360/7045]	Time 0.427 (0.240)	Data 0.375 (0.177)	Loss 2.4253 (2.5063)	Prec@1 43.359 (39.095)	Prec@5 68.750 (68.917)
Epoch: [84][2370/7045]	Time 0.263 (0.240)	Data 0.210 (0.177)	Loss 2.5022 (2.5062)	Prec@1 37.891 (39.097)	Prec@5 71.484 (68.921)
Epoch: [84][2380/7045]	Time 0.441 (0.240)	Data 0.389 (0.177)	Loss 2.6193 (2.5062)	Prec@1 37.500 (39.099)	Prec@5 68.750 (68.922)
Epoch: [84][2390/7045]	Time 0.335 (0.240)	Data 0.275 (0.177)	Loss 2.5715 (2.5062)	Prec@1 35.156 (39.100)	Prec@5 65.234 (68.923)
Epoch: [84][2400/7045]	Time 0.380 (0.240)	Data 0.321 (0.177)	Loss 2.6215 (2.5062)	Prec@1 39.453 (39.100)	Prec@5 64.453 (68.920)
Epoch: [84][2410/7045]	Time 0.328 (0.240)	Data 0.275 (0.177)	Loss 2.4190 (2.5062)	Prec@1 38.672 (39.102)	Prec@5 73.047 (68.921)
Epoch: [84][2420/7045]	Time 0.344 (0.240)	Data 0.292 (0.177)	Loss 2.5823 (2.5061)	Prec@1 37.109 (39.105)	Prec@5 67.188 (68.922)
Epoch: [84][2430/7045]	Time 0.330 (0.240)	Data 0.277 (0.177)	Loss 2.5249 (2.5058)	Prec@1 36.328 (39.111)	Prec@5 67.188 (68.929)
Epoch: [84][2440/7045]	Time 0.333 (0.240)	Data 0.281 (0.177)	Loss 2.5734 (2.5059)	Prec@1 35.156 (39.109)	Prec@5 68.359 (68.933)
Epoch: [84][2450/7045]	Time 0.329 (0.240)	Data 0.277 (0.177)	Loss 2.4707 (2.5058)	Prec@1 38.672 (39.113)	Prec@5 71.875 (68.936)
Epoch: [84][2460/7045]	Time 0.330 (0.240)	Data 0.279 (0.177)	Loss 2.5342 (2.5059)	Prec@1 35.938 (39.106)	Prec@5 66.797 (68.933)
Epoch: [84][2470/7045]	Time 0.265 (0.240)	Data 0.212 (0.177)	Loss 2.5900 (2.5059)	Prec@1 39.453 (39.109)	Prec@5 68.359 (68.934)
Epoch: [84][2480/7045]	Time 0.380 (0.240)	Data 0.328 (0.177)	Loss 2.2728 (2.5059)	Prec@1 41.016 (39.108)	Prec@5 76.562 (68.935)
Epoch: [84][2490/7045]	Time 0.232 (0.240)	Data 0.175 (0.177)	Loss 2.5969 (2.5058)	Prec@1 32.422 (39.107)	Prec@5 66.406 (68.940)
Epoch: [84][2500/7045]	Time 0.407 (0.240)	Data 0.355 (0.177)	Loss 2.6021 (2.5058)	Prec@1 37.500 (39.104)	Prec@5 67.578 (68.942)
Epoch: [84][2510/7045]	Time 0.223 (0.240)	Data 0.172 (0.177)	Loss 2.5863 (2.5058)	Prec@1 39.062 (39.107)	Prec@5 67.969 (68.943)
Epoch: [84][2520/7045]	Time 0.386 (0.240)	Data 0.333 (0.177)	Loss 2.3940 (2.5059)	Prec@1 42.969 (39.106)	Prec@5 69.531 (68.941)
Epoch: [84][2530/7045]	Time 0.234 (0.240)	Data 0.181 (0.177)	Loss 2.2808 (2.5060)	Prec@1 39.062 (39.099)	Prec@5 72.266 (68.939)
Epoch: [84][2540/7045]	Time 0.368 (0.240)	Data 0.316 (0.177)	Loss 2.7037 (2.5059)	Prec@1 38.672 (39.107)	Prec@5 62.891 (68.939)
Epoch: [84][2550/7045]	Time 0.281 (0.240)	Data 0.229 (0.177)	Loss 2.5961 (2.5060)	Prec@1 37.109 (39.108)	Prec@5 67.578 (68.938)
Epoch: [84][2560/7045]	Time 0.360 (0.240)	Data 0.309 (0.177)	Loss 2.4407 (2.5062)	Prec@1 34.375 (39.103)	Prec@5 68.359 (68.935)
Epoch: [84][2570/7045]	Time 0.328 (0.240)	Data 0.276 (0.177)	Loss 2.4007 (2.5060)	Prec@1 41.016 (39.109)	Prec@5 69.922 (68.937)
Epoch: [84][2580/7045]	Time 0.259 (0.240)	Data 0.206 (0.177)	Loss 2.2772 (2.5058)	Prec@1 41.797 (39.111)	Prec@5 77.344 (68.942)
Epoch: [84][2590/7045]	Time 0.385 (0.240)	Data 0.333 (0.177)	Loss 2.4748 (2.5058)	Prec@1 40.234 (39.117)	Prec@5 70.312 (68.947)
Epoch: [84][2600/7045]	Time 0.328 (0.240)	Data 0.276 (0.177)	Loss 2.7497 (2.5059)	Prec@1 35.547 (39.115)	Prec@5 62.891 (68.942)
Epoch: [84][2610/7045]	Time 0.321 (0.240)	Data 0.269 (0.177)	Loss 2.5687 (2.5062)	Prec@1 39.453 (39.106)	Prec@5 66.406 (68.936)
Epoch: [84][2620/7045]	Time 0.314 (0.240)	Data 0.262 (0.177)	Loss 2.5630 (2.5064)	Prec@1 37.500 (39.104)	Prec@5 64.844 (68.932)
Epoch: [84][2630/7045]	Time 0.277 (0.240)	Data 0.225 (0.177)	Loss 2.6290 (2.5066)	Prec@1 37.891 (39.096)	Prec@5 68.359 (68.927)
Epoch: [84][2640/7045]	Time 0.319 (0.240)	Data 0.267 (0.177)	Loss 2.4399 (2.5065)	Prec@1 39.844 (39.096)	Prec@5 70.312 (68.929)
Epoch: [84][2650/7045]	Time 0.264 (0.240)	Data 0.205 (0.177)	Loss 2.5151 (2.5066)	Prec@1 37.500 (39.092)	Prec@5 68.750 (68.933)
Epoch: [84][2660/7045]	Time 0.395 (0.240)	Data 0.343 (0.177)	Loss 2.4136 (2.5066)	Prec@1 40.625 (39.090)	Prec@5 71.484 (68.934)
Epoch: [84][2670/7045]	Time 0.291 (0.240)	Data 0.239 (0.177)	Loss 2.5233 (2.5065)	Prec@1 41.016 (39.089)	Prec@5 70.703 (68.937)
Epoch: [84][2680/7045]	Time 0.306 (0.240)	Data 0.255 (0.177)	Loss 2.4507 (2.5064)	Prec@1 38.281 (39.088)	Prec@5 72.656 (68.941)
Epoch: [84][2690/7045]	Time 0.326 (0.240)	Data 0.273 (0.177)	Loss 2.5440 (2.5066)	Prec@1 37.891 (39.084)	Prec@5 69.531 (68.941)
Epoch: [84][2700/7045]	Time 0.276 (0.240)	Data 0.224 (0.177)	Loss 2.6887 (2.5067)	Prec@1 37.500 (39.081)	Prec@5 62.500 (68.940)
Epoch: [84][2710/7045]	Time 0.316 (0.240)	Data 0.264 (0.177)	Loss 2.4790 (2.5068)	Prec@1 39.062 (39.081)	Prec@5 67.578 (68.939)
Epoch: [84][2720/7045]	Time 0.293 (0.239)	Data 0.241 (0.177)	Loss 2.5384 (2.5069)	Prec@1 37.891 (39.076)	Prec@5 67.188 (68.938)
Epoch: [84][2730/7045]	Time 0.299 (0.239)	Data 0.241 (0.177)	Loss 2.6086 (2.5069)	Prec@1 38.281 (39.076)	Prec@5 66.406 (68.936)
Epoch: [84][2740/7045]	Time 0.294 (0.239)	Data 0.242 (0.177)	Loss 2.4761 (2.5069)	Prec@1 38.672 (39.078)	Prec@5 72.266 (68.937)
Epoch: [84][2750/7045]	Time 0.372 (0.240)	Data 0.313 (0.177)	Loss 2.3435 (2.5069)	Prec@1 41.016 (39.078)	Prec@5 77.344 (68.942)
Epoch: [84][2760/7045]	Time 0.250 (0.239)	Data 0.198 (0.177)	Loss 2.4650 (2.5068)	Prec@1 38.281 (39.082)	Prec@5 69.141 (68.942)
Epoch: [84][2770/7045]	Time 0.426 (0.239)	Data 0.370 (0.177)	Loss 2.5706 (2.5068)	Prec@1 40.625 (39.082)	Prec@5 71.094 (68.946)
Epoch: [84][2780/7045]	Time 0.265 (0.239)	Data 0.213 (0.177)	Loss 2.6652 (2.5070)	Prec@1 37.891 (39.079)	Prec@5 66.797 (68.942)
Epoch: [84][2790/7045]	Time 0.445 (0.239)	Data 0.393 (0.177)	Loss 2.7428 (2.5071)	Prec@1 35.156 (39.077)	Prec@5 60.156 (68.940)
Epoch: [84][2800/7045]	Time 0.259 (0.239)	Data 0.209 (0.177)	Loss 2.6659 (2.5073)	Prec@1 36.719 (39.071)	Prec@5 66.406 (68.939)
Epoch: [84][2810/7045]	Time 0.457 (0.239)	Data 0.399 (0.177)	Loss 2.4568 (2.5074)	Prec@1 42.188 (39.070)	Prec@5 64.844 (68.936)
Epoch: [84][2820/7045]	Time 0.282 (0.239)	Data 0.224 (0.177)	Loss 2.8199 (2.5075)	Prec@1 36.719 (39.071)	Prec@5 62.891 (68.934)
Epoch: [84][2830/7045]	Time 0.426 (0.239)	Data 0.373 (0.177)	Loss 2.6092 (2.5076)	Prec@1 39.062 (39.075)	Prec@5 66.406 (68.935)
Epoch: [84][2840/7045]	Time 0.266 (0.239)	Data 0.208 (0.177)	Loss 2.6386 (2.5076)	Prec@1 35.156 (39.070)	Prec@5 67.578 (68.937)
Epoch: [84][2850/7045]	Time 0.417 (0.239)	Data 0.365 (0.177)	Loss 2.5516 (2.5077)	Prec@1 40.234 (39.072)	Prec@5 66.797 (68.933)
Epoch: [84][2860/7045]	Time 0.223 (0.239)	Data 0.166 (0.177)	Loss 2.6762 (2.5078)	Prec@1 34.375 (39.070)	Prec@5 66.797 (68.930)
Epoch: [84][2870/7045]	Time 0.420 (0.239)	Data 0.367 (0.177)	Loss 2.4002 (2.5079)	Prec@1 38.281 (39.066)	Prec@5 71.094 (68.929)
Epoch: [84][2880/7045]	Time 0.218 (0.239)	Data 0.166 (0.177)	Loss 2.4409 (2.5079)	Prec@1 41.797 (39.064)	Prec@5 73.828 (68.929)
Epoch: [84][2890/7045]	Time 0.408 (0.239)	Data 0.356 (0.177)	Loss 2.4309 (2.5079)	Prec@1 38.672 (39.062)	Prec@5 69.922 (68.929)
Epoch: [84][2900/7045]	Time 0.191 (0.239)	Data 0.139 (0.177)	Loss 2.6592 (2.5080)	Prec@1 38.672 (39.061)	Prec@5 66.406 (68.928)
Epoch: [84][2910/7045]	Time 0.414 (0.239)	Data 0.362 (0.177)	Loss 2.7717 (2.5081)	Prec@1 36.328 (39.062)	Prec@5 64.844 (68.926)
Epoch: [84][2920/7045]	Time 0.153 (0.239)	Data 0.102 (0.177)	Loss 2.6155 (2.5083)	Prec@1 36.328 (39.058)	Prec@5 62.109 (68.921)
Epoch: [84][2930/7045]	Time 0.459 (0.239)	Data 0.407 (0.177)	Loss 2.6511 (2.5085)	Prec@1 42.578 (39.056)	Prec@5 65.625 (68.918)
Epoch: [84][2940/7045]	Time 0.204 (0.239)	Data 0.151 (0.177)	Loss 2.5685 (2.5086)	Prec@1 39.062 (39.054)	Prec@5 68.359 (68.915)
Epoch: [84][2950/7045]	Time 0.438 (0.239)	Data 0.385 (0.177)	Loss 2.4994 (2.5087)	Prec@1 43.750 (39.055)	Prec@5 66.797 (68.913)
Epoch: [84][2960/7045]	Time 0.129 (0.239)	Data 0.078 (0.177)	Loss 2.4850 (2.5088)	Prec@1 35.547 (39.057)	Prec@5 67.188 (68.916)
Epoch: [84][2970/7045]	Time 0.390 (0.239)	Data 0.338 (0.177)	Loss 2.5188 (2.5087)	Prec@1 36.328 (39.055)	Prec@5 70.703 (68.917)
Epoch: [84][2980/7045]	Time 0.124 (0.239)	Data 0.071 (0.177)	Loss 2.6028 (2.5085)	Prec@1 40.625 (39.062)	Prec@5 67.188 (68.918)
Epoch: [84][2990/7045]	Time 0.308 (0.239)	Data 0.255 (0.177)	Loss 2.5793 (2.5083)	Prec@1 43.750 (39.067)	Prec@5 66.406 (68.921)
Epoch: [84][3000/7045]	Time 0.138 (0.239)	Data 0.086 (0.177)	Loss 2.6875 (2.5082)	Prec@1 40.234 (39.074)	Prec@5 66.797 (68.923)
Epoch: [84][3010/7045]	Time 0.327 (0.239)	Data 0.275 (0.177)	Loss 2.4671 (2.5081)	Prec@1 41.797 (39.078)	Prec@5 72.266 (68.923)
Epoch: [84][3020/7045]	Time 0.110 (0.239)	Data 0.058 (0.177)	Loss 2.4748 (2.5082)	Prec@1 37.891 (39.075)	Prec@5 69.141 (68.922)
Epoch: [84][3030/7045]	Time 0.342 (0.239)	Data 0.290 (0.177)	Loss 2.5646 (2.5082)	Prec@1 35.938 (39.072)	Prec@5 69.531 (68.921)
Epoch: [84][3040/7045]	Time 0.108 (0.239)	Data 0.055 (0.177)	Loss 2.4730 (2.5081)	Prec@1 39.062 (39.072)	Prec@5 69.922 (68.920)
Epoch: [84][3050/7045]	Time 0.310 (0.239)	Data 0.257 (0.177)	Loss 2.4529 (2.5080)	Prec@1 37.109 (39.073)	Prec@5 71.094 (68.922)
Epoch: [84][3060/7045]	Time 0.102 (0.239)	Data 0.001 (0.177)	Loss 2.5668 (2.5082)	Prec@1 41.797 (39.074)	Prec@5 68.750 (68.920)
Epoch: [84][3070/7045]	Time 0.292 (0.239)	Data 0.240 (0.177)	Loss 2.4970 (2.5081)	Prec@1 35.156 (39.073)	Prec@5 67.188 (68.919)
Epoch: [84][3080/7045]	Time 0.108 (0.239)	Data 0.005 (0.177)	Loss 2.5897 (2.5083)	Prec@1 39.453 (39.070)	Prec@5 66.797 (68.915)
Epoch: [84][3090/7045]	Time 0.347 (0.239)	Data 0.295 (0.177)	Loss 2.5412 (2.5082)	Prec@1 39.844 (39.069)	Prec@5 66.406 (68.915)
Epoch: [84][3100/7045]	Time 0.108 (0.239)	Data 0.005 (0.177)	Loss 2.3817 (2.5083)	Prec@1 42.188 (39.069)	Prec@5 71.094 (68.913)
Epoch: [84][3110/7045]	Time 0.319 (0.239)	Data 0.268 (0.177)	Loss 2.4181 (2.5085)	Prec@1 41.797 (39.069)	Prec@5 69.922 (68.913)
Epoch: [84][3120/7045]	Time 0.109 (0.239)	Data 0.004 (0.177)	Loss 2.5621 (2.5084)	Prec@1 37.891 (39.073)	Prec@5 65.234 (68.915)
Epoch: [84][3130/7045]	Time 0.328 (0.239)	Data 0.275 (0.177)	Loss 2.5143 (2.5084)	Prec@1 37.891 (39.071)	Prec@5 71.484 (68.915)
Epoch: [84][3140/7045]	Time 0.110 (0.239)	Data 0.004 (0.177)	Loss 2.4928 (2.5084)	Prec@1 39.062 (39.071)	Prec@5 70.312 (68.918)
Epoch: [84][3150/7045]	Time 0.327 (0.239)	Data 0.274 (0.177)	Loss 2.4109 (2.5083)	Prec@1 37.109 (39.073)	Prec@5 71.484 (68.922)
Epoch: [84][3160/7045]	Time 0.107 (0.239)	Data 0.003 (0.177)	Loss 2.6280 (2.5084)	Prec@1 39.844 (39.073)	Prec@5 69.141 (68.920)
Epoch: [84][3170/7045]	Time 0.365 (0.239)	Data 0.313 (0.177)	Loss 2.5508 (2.5086)	Prec@1 38.281 (39.071)	Prec@5 66.406 (68.915)
Epoch: [84][3180/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.3977 (2.5087)	Prec@1 41.797 (39.070)	Prec@5 69.141 (68.915)
Epoch: [84][3190/7045]	Time 0.434 (0.239)	Data 0.382 (0.176)	Loss 2.3982 (2.5087)	Prec@1 42.578 (39.071)	Prec@5 71.484 (68.915)
Epoch: [84][3200/7045]	Time 0.110 (0.239)	Data 0.006 (0.176)	Loss 2.4111 (2.5087)	Prec@1 43.750 (39.073)	Prec@5 70.312 (68.914)
Epoch: [84][3210/7045]	Time 0.406 (0.239)	Data 0.353 (0.176)	Loss 2.4599 (2.5089)	Prec@1 38.672 (39.071)	Prec@5 72.656 (68.911)
Epoch: [84][3220/7045]	Time 0.107 (0.239)	Data 0.005 (0.176)	Loss 2.5317 (2.5089)	Prec@1 43.359 (39.072)	Prec@5 69.531 (68.911)
Epoch: [84][3230/7045]	Time 0.468 (0.239)	Data 0.416 (0.176)	Loss 2.3495 (2.5091)	Prec@1 42.969 (39.068)	Prec@5 69.141 (68.908)
Epoch: [84][3240/7045]	Time 0.149 (0.239)	Data 0.090 (0.176)	Loss 2.4017 (2.5090)	Prec@1 39.844 (39.070)	Prec@5 69.922 (68.909)
Epoch: [84][3250/7045]	Time 0.433 (0.239)	Data 0.381 (0.176)	Loss 2.4881 (2.5091)	Prec@1 39.062 (39.068)	Prec@5 70.312 (68.907)
Epoch: [84][3260/7045]	Time 0.195 (0.239)	Data 0.137 (0.176)	Loss 2.5252 (2.5090)	Prec@1 37.891 (39.073)	Prec@5 65.625 (68.906)
Epoch: [84][3270/7045]	Time 0.389 (0.239)	Data 0.336 (0.176)	Loss 2.4646 (2.5091)	Prec@1 38.281 (39.071)	Prec@5 69.531 (68.905)
Epoch: [84][3280/7045]	Time 0.226 (0.239)	Data 0.167 (0.176)	Loss 2.6767 (2.5093)	Prec@1 38.672 (39.068)	Prec@5 65.234 (68.901)
Epoch: [84][3290/7045]	Time 0.372 (0.239)	Data 0.320 (0.177)	Loss 2.4431 (2.5093)	Prec@1 37.109 (39.068)	Prec@5 70.312 (68.901)
Epoch: [84][3300/7045]	Time 0.231 (0.239)	Data 0.175 (0.177)	Loss 2.4329 (2.5094)	Prec@1 40.234 (39.065)	Prec@5 71.484 (68.898)
Epoch: [84][3310/7045]	Time 0.415 (0.239)	Data 0.363 (0.177)	Loss 2.5197 (2.5093)	Prec@1 39.062 (39.066)	Prec@5 64.844 (68.899)
Epoch: [84][3320/7045]	Time 0.214 (0.239)	Data 0.156 (0.177)	Loss 2.6273 (2.5094)	Prec@1 34.766 (39.064)	Prec@5 66.797 (68.897)
Epoch: [84][3330/7045]	Time 0.434 (0.239)	Data 0.381 (0.177)	Loss 2.4326 (2.5094)	Prec@1 37.891 (39.061)	Prec@5 67.578 (68.895)
Epoch: [84][3340/7045]	Time 0.223 (0.239)	Data 0.171 (0.177)	Loss 2.6141 (2.5095)	Prec@1 35.938 (39.061)	Prec@5 64.844 (68.890)
Epoch: [84][3350/7045]	Time 0.402 (0.239)	Data 0.351 (0.177)	Loss 2.5023 (2.5095)	Prec@1 40.625 (39.062)	Prec@5 66.797 (68.891)
Epoch: [84][3360/7045]	Time 0.225 (0.239)	Data 0.174 (0.177)	Loss 2.5060 (2.5094)	Prec@1 42.188 (39.065)	Prec@5 68.750 (68.893)
Epoch: [84][3370/7045]	Time 0.382 (0.239)	Data 0.323 (0.177)	Loss 2.5789 (2.5096)	Prec@1 38.281 (39.062)	Prec@5 66.406 (68.887)
Epoch: [84][3380/7045]	Time 0.302 (0.239)	Data 0.252 (0.177)	Loss 2.3358 (2.5098)	Prec@1 44.141 (39.060)	Prec@5 73.047 (68.883)
Epoch: [84][3390/7045]	Time 0.396 (0.239)	Data 0.345 (0.177)	Loss 2.5467 (2.5099)	Prec@1 40.234 (39.061)	Prec@5 69.141 (68.882)
Epoch: [84][3400/7045]	Time 0.282 (0.239)	Data 0.230 (0.177)	Loss 2.3852 (2.5096)	Prec@1 35.938 (39.063)	Prec@5 71.875 (68.886)
Epoch: [84][3410/7045]	Time 0.340 (0.239)	Data 0.288 (0.177)	Loss 2.7161 (2.5096)	Prec@1 35.938 (39.062)	Prec@5 62.891 (68.882)
Epoch: [84][3420/7045]	Time 0.335 (0.239)	Data 0.284 (0.177)	Loss 2.3974 (2.5098)	Prec@1 44.141 (39.060)	Prec@5 71.484 (68.880)
Epoch: [84][3430/7045]	Time 0.330 (0.239)	Data 0.278 (0.177)	Loss 2.4240 (2.5099)	Prec@1 39.062 (39.060)	Prec@5 71.875 (68.879)
Epoch: [84][3440/7045]	Time 0.379 (0.239)	Data 0.326 (0.177)	Loss 2.5128 (2.5100)	Prec@1 37.500 (39.057)	Prec@5 71.484 (68.876)
Epoch: [84][3450/7045]	Time 0.356 (0.239)	Data 0.305 (0.177)	Loss 2.4886 (2.5101)	Prec@1 38.672 (39.057)	Prec@5 68.750 (68.874)
Epoch: [84][3460/7045]	Time 0.412 (0.239)	Data 0.360 (0.177)	Loss 2.5326 (2.5100)	Prec@1 35.938 (39.059)	Prec@5 68.750 (68.877)
Epoch: [84][3470/7045]	Time 0.331 (0.239)	Data 0.279 (0.177)	Loss 2.3465 (2.5099)	Prec@1 41.016 (39.060)	Prec@5 70.312 (68.879)
Epoch: [84][3480/7045]	Time 0.429 (0.239)	Data 0.377 (0.177)	Loss 2.5528 (2.5100)	Prec@1 37.891 (39.058)	Prec@5 66.797 (68.876)
Epoch: [84][3490/7045]	Time 0.321 (0.239)	Data 0.270 (0.177)	Loss 2.3774 (2.5100)	Prec@1 43.750 (39.059)	Prec@5 69.922 (68.874)
Epoch: [84][3500/7045]	Time 0.313 (0.239)	Data 0.261 (0.176)	Loss 2.6095 (2.5100)	Prec@1 33.594 (39.055)	Prec@5 66.797 (68.873)
Epoch: [84][3510/7045]	Time 0.381 (0.239)	Data 0.330 (0.176)	Loss 2.2935 (2.5100)	Prec@1 42.188 (39.057)	Prec@5 73.047 (68.870)
Epoch: [84][3520/7045]	Time 0.387 (0.239)	Data 0.335 (0.176)	Loss 2.4860 (2.5102)	Prec@1 39.453 (39.056)	Prec@5 70.312 (68.867)
Epoch: [84][3530/7045]	Time 0.362 (0.239)	Data 0.309 (0.176)	Loss 2.6679 (2.5101)	Prec@1 39.062 (39.053)	Prec@5 67.578 (68.871)
Epoch: [84][3540/7045]	Time 0.398 (0.239)	Data 0.347 (0.176)	Loss 2.4761 (2.5102)	Prec@1 41.406 (39.049)	Prec@5 68.750 (68.868)
Epoch: [84][3550/7045]	Time 0.169 (0.239)	Data 0.117 (0.176)	Loss 2.4825 (2.5103)	Prec@1 37.500 (39.049)	Prec@5 68.750 (68.867)
Epoch: [84][3560/7045]	Time 0.328 (0.239)	Data 0.276 (0.176)	Loss 2.3790 (2.5102)	Prec@1 43.359 (39.050)	Prec@5 69.141 (68.869)
Epoch: [84][3570/7045]	Time 0.102 (0.239)	Data 0.006 (0.176)	Loss 2.5601 (2.5101)	Prec@1 36.328 (39.048)	Prec@5 66.797 (68.869)
Epoch: [84][3580/7045]	Time 0.268 (0.239)	Data 0.216 (0.176)	Loss 2.6627 (2.5101)	Prec@1 35.938 (39.050)	Prec@5 66.797 (68.869)
Epoch: [84][3590/7045]	Time 0.102 (0.239)	Data 0.003 (0.176)	Loss 2.5562 (2.5102)	Prec@1 36.328 (39.049)	Prec@5 71.875 (68.869)
Epoch: [84][3600/7045]	Time 0.102 (0.239)	Data 0.002 (0.176)	Loss 2.4660 (2.5100)	Prec@1 43.359 (39.050)	Prec@5 68.750 (68.873)
Epoch: [84][3610/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.3580 (2.5100)	Prec@1 40.234 (39.051)	Prec@5 73.438 (68.875)
Epoch: [84][3620/7045]	Time 0.226 (0.239)	Data 0.173 (0.176)	Loss 2.4481 (2.5098)	Prec@1 40.625 (39.053)	Prec@5 69.141 (68.878)
Epoch: [84][3630/7045]	Time 0.102 (0.239)	Data 0.005 (0.176)	Loss 2.5031 (2.5097)	Prec@1 39.453 (39.055)	Prec@5 68.750 (68.882)
Epoch: [84][3640/7045]	Time 0.428 (0.239)	Data 0.376 (0.176)	Loss 2.4784 (2.5097)	Prec@1 34.766 (39.056)	Prec@5 71.484 (68.882)
Epoch: [84][3650/7045]	Time 0.104 (0.239)	Data 0.051 (0.176)	Loss 2.4759 (2.5098)	Prec@1 40.234 (39.054)	Prec@5 69.922 (68.881)
Epoch: [84][3660/7045]	Time 0.318 (0.239)	Data 0.265 (0.176)	Loss 2.5226 (2.5097)	Prec@1 37.891 (39.054)	Prec@5 68.750 (68.883)
Epoch: [84][3670/7045]	Time 0.111 (0.239)	Data 0.059 (0.176)	Loss 2.4156 (2.5097)	Prec@1 41.406 (39.052)	Prec@5 69.531 (68.880)
Epoch: [84][3680/7045]	Time 0.305 (0.239)	Data 0.252 (0.176)	Loss 2.6292 (2.5098)	Prec@1 37.891 (39.052)	Prec@5 65.625 (68.879)
Epoch: [84][3690/7045]	Time 0.121 (0.239)	Data 0.069 (0.176)	Loss 2.7484 (2.5097)	Prec@1 35.938 (39.053)	Prec@5 63.281 (68.878)
Epoch: [84][3700/7045]	Time 0.279 (0.239)	Data 0.228 (0.176)	Loss 2.4855 (2.5095)	Prec@1 39.844 (39.057)	Prec@5 68.750 (68.881)
Epoch: [84][3710/7045]	Time 0.111 (0.239)	Data 0.059 (0.176)	Loss 2.4673 (2.5094)	Prec@1 43.359 (39.062)	Prec@5 69.922 (68.884)
Epoch: [84][3720/7045]	Time 0.316 (0.239)	Data 0.264 (0.176)	Loss 2.5022 (2.5093)	Prec@1 37.891 (39.065)	Prec@5 70.312 (68.889)
Epoch: [84][3730/7045]	Time 0.171 (0.239)	Data 0.120 (0.176)	Loss 2.5892 (2.5094)	Prec@1 39.062 (39.062)	Prec@5 62.891 (68.885)
Epoch: [84][3740/7045]	Time 0.254 (0.239)	Data 0.202 (0.176)	Loss 2.3834 (2.5095)	Prec@1 41.797 (39.061)	Prec@5 73.438 (68.884)
Epoch: [84][3750/7045]	Time 0.191 (0.239)	Data 0.140 (0.176)	Loss 2.5156 (2.5095)	Prec@1 35.156 (39.056)	Prec@5 70.312 (68.886)
Epoch: [84][3760/7045]	Time 0.186 (0.239)	Data 0.126 (0.176)	Loss 2.5810 (2.5096)	Prec@1 35.156 (39.054)	Prec@5 64.062 (68.885)
Epoch: [84][3770/7045]	Time 0.236 (0.239)	Data 0.183 (0.176)	Loss 2.4484 (2.5096)	Prec@1 42.188 (39.054)	Prec@5 69.531 (68.883)
Epoch: [84][3780/7045]	Time 0.185 (0.239)	Data 0.127 (0.176)	Loss 2.3747 (2.5097)	Prec@1 35.938 (39.050)	Prec@5 73.438 (68.886)
Epoch: [84][3790/7045]	Time 0.202 (0.239)	Data 0.150 (0.176)	Loss 2.6729 (2.5097)	Prec@1 35.156 (39.050)	Prec@5 66.406 (68.883)
Epoch: [84][3800/7045]	Time 0.159 (0.239)	Data 0.107 (0.176)	Loss 2.6827 (2.5099)	Prec@1 37.500 (39.049)	Prec@5 66.016 (68.880)
Epoch: [84][3810/7045]	Time 0.278 (0.239)	Data 0.227 (0.176)	Loss 2.5803 (2.5099)	Prec@1 36.328 (39.050)	Prec@5 63.281 (68.878)
Epoch: [84][3820/7045]	Time 0.176 (0.239)	Data 0.125 (0.176)	Loss 2.4250 (2.5097)	Prec@1 39.062 (39.053)	Prec@5 67.578 (68.879)
Epoch: [84][3830/7045]	Time 0.381 (0.239)	Data 0.329 (0.176)	Loss 2.4036 (2.5096)	Prec@1 39.062 (39.057)	Prec@5 71.875 (68.880)
Epoch: [84][3840/7045]	Time 0.117 (0.239)	Data 0.059 (0.176)	Loss 2.3462 (2.5095)	Prec@1 42.578 (39.060)	Prec@5 69.531 (68.880)
Epoch: [84][3850/7045]	Time 0.645 (0.239)	Data 0.586 (0.176)	Loss 2.5476 (2.5093)	Prec@1 38.672 (39.064)	Prec@5 67.969 (68.882)
Epoch: [84][3860/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.4032 (2.5093)	Prec@1 43.750 (39.066)	Prec@5 71.484 (68.886)
Epoch: [84][3870/7045]	Time 0.636 (0.239)	Data 0.584 (0.176)	Loss 2.5572 (2.5094)	Prec@1 41.016 (39.062)	Prec@5 67.188 (68.882)
Epoch: [84][3880/7045]	Time 0.123 (0.239)	Data 0.071 (0.176)	Loss 2.7662 (2.5095)	Prec@1 32.812 (39.061)	Prec@5 67.188 (68.882)
Epoch: [84][3890/7045]	Time 0.534 (0.239)	Data 0.483 (0.176)	Loss 2.5666 (2.5094)	Prec@1 38.281 (39.063)	Prec@5 68.359 (68.883)
Epoch: [84][3900/7045]	Time 0.233 (0.239)	Data 0.181 (0.176)	Loss 2.5849 (2.5096)	Prec@1 42.188 (39.060)	Prec@5 69.531 (68.878)
Epoch: [84][3910/7045]	Time 0.376 (0.239)	Data 0.320 (0.176)	Loss 2.4447 (2.5096)	Prec@1 40.234 (39.065)	Prec@5 71.875 (68.878)
Epoch: [84][3920/7045]	Time 0.267 (0.239)	Data 0.215 (0.176)	Loss 2.2639 (2.5095)	Prec@1 48.047 (39.067)	Prec@5 71.094 (68.877)
Epoch: [84][3930/7045]	Time 0.126 (0.239)	Data 0.074 (0.176)	Loss 2.4288 (2.5095)	Prec@1 40.234 (39.066)	Prec@5 72.656 (68.874)
Epoch: [84][3940/7045]	Time 0.130 (0.239)	Data 0.076 (0.176)	Loss 2.3154 (2.5095)	Prec@1 46.484 (39.068)	Prec@5 72.266 (68.875)
Epoch: [84][3950/7045]	Time 0.110 (0.239)	Data 0.057 (0.176)	Loss 2.3823 (2.5095)	Prec@1 44.922 (39.067)	Prec@5 72.656 (68.877)
Epoch: [84][3960/7045]	Time 0.151 (0.239)	Data 0.099 (0.176)	Loss 2.5595 (2.5096)	Prec@1 37.109 (39.066)	Prec@5 67.188 (68.877)
Epoch: [84][3970/7045]	Time 0.118 (0.239)	Data 0.066 (0.176)	Loss 2.5410 (2.5095)	Prec@1 35.938 (39.069)	Prec@5 68.750 (68.879)
Epoch: [84][3980/7045]	Time 0.213 (0.239)	Data 0.160 (0.176)	Loss 2.6177 (2.5095)	Prec@1 37.891 (39.072)	Prec@5 63.281 (68.879)
Epoch: [84][3990/7045]	Time 0.110 (0.239)	Data 0.059 (0.176)	Loss 2.5689 (2.5096)	Prec@1 37.109 (39.071)	Prec@5 68.359 (68.878)
Epoch: [84][4000/7045]	Time 0.535 (0.239)	Data 0.483 (0.176)	Loss 2.4286 (2.5096)	Prec@1 41.797 (39.067)	Prec@5 69.531 (68.878)
Epoch: [84][4010/7045]	Time 0.170 (0.239)	Data 0.112 (0.176)	Loss 2.3923 (2.5097)	Prec@1 42.188 (39.067)	Prec@5 71.875 (68.877)
Epoch: [84][4020/7045]	Time 0.400 (0.239)	Data 0.347 (0.176)	Loss 2.6419 (2.5098)	Prec@1 40.234 (39.065)	Prec@5 65.234 (68.875)
Epoch: [84][4030/7045]	Time 0.275 (0.239)	Data 0.223 (0.176)	Loss 2.4620 (2.5099)	Prec@1 39.453 (39.062)	Prec@5 70.703 (68.873)
Epoch: [84][4040/7045]	Time 0.107 (0.239)	Data 0.001 (0.176)	Loss 2.5039 (2.5098)	Prec@1 40.625 (39.060)	Prec@5 71.484 (68.876)
Epoch: [84][4050/7045]	Time 0.106 (0.239)	Data 0.052 (0.176)	Loss 2.3859 (2.5096)	Prec@1 36.719 (39.063)	Prec@5 72.656 (68.881)
Epoch: [84][4060/7045]	Time 0.144 (0.239)	Data 0.091 (0.176)	Loss 2.3920 (2.5096)	Prec@1 39.844 (39.062)	Prec@5 69.531 (68.883)
Epoch: [84][4070/7045]	Time 0.298 (0.239)	Data 0.246 (0.176)	Loss 2.6267 (2.5096)	Prec@1 35.938 (39.058)	Prec@5 67.578 (68.884)
Epoch: [84][4080/7045]	Time 0.112 (0.239)	Data 0.059 (0.176)	Loss 2.4118 (2.5096)	Prec@1 41.406 (39.057)	Prec@5 70.703 (68.885)
Epoch: [84][4090/7045]	Time 0.573 (0.239)	Data 0.521 (0.177)	Loss 2.7530 (2.5096)	Prec@1 33.203 (39.058)	Prec@5 66.406 (68.886)
Epoch: [84][4100/7045]	Time 0.153 (0.239)	Data 0.101 (0.176)	Loss 2.6151 (2.5098)	Prec@1 35.938 (39.057)	Prec@5 66.016 (68.882)
Epoch: [84][4110/7045]	Time 0.442 (0.239)	Data 0.390 (0.176)	Loss 2.6246 (2.5098)	Prec@1 38.281 (39.057)	Prec@5 69.922 (68.880)
Epoch: [84][4120/7045]	Time 0.166 (0.239)	Data 0.113 (0.176)	Loss 2.4987 (2.5099)	Prec@1 37.109 (39.057)	Prec@5 72.266 (68.882)
Epoch: [84][4130/7045]	Time 0.109 (0.239)	Data 0.001 (0.177)	Loss 2.4323 (2.5100)	Prec@1 41.797 (39.057)	Prec@5 68.359 (68.881)
Epoch: [84][4140/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.4054 (2.5099)	Prec@1 35.547 (39.058)	Prec@5 69.531 (68.884)
Epoch: [84][4150/7045]	Time 0.200 (0.239)	Data 0.147 (0.177)	Loss 2.7597 (2.5101)	Prec@1 34.766 (39.055)	Prec@5 66.016 (68.879)
Epoch: [84][4160/7045]	Time 0.304 (0.239)	Data 0.253 (0.177)	Loss 2.4628 (2.5100)	Prec@1 42.188 (39.053)	Prec@5 72.656 (68.881)
Epoch: [84][4170/7045]	Time 0.204 (0.239)	Data 0.154 (0.177)	Loss 2.6936 (2.5100)	Prec@1 29.688 (39.053)	Prec@5 65.234 (68.882)
Epoch: [84][4180/7045]	Time 0.611 (0.239)	Data 0.551 (0.177)	Loss 2.5118 (2.5100)	Prec@1 41.016 (39.053)	Prec@5 69.922 (68.885)
Epoch: [84][4190/7045]	Time 0.157 (0.239)	Data 0.104 (0.177)	Loss 2.3493 (2.5102)	Prec@1 42.188 (39.050)	Prec@5 74.219 (68.883)
Epoch: [84][4200/7045]	Time 0.555 (0.239)	Data 0.503 (0.177)	Loss 2.5540 (2.5101)	Prec@1 38.672 (39.050)	Prec@5 67.578 (68.885)
Epoch: [84][4210/7045]	Time 0.103 (0.239)	Data 0.001 (0.176)	Loss 2.5547 (2.5101)	Prec@1 39.062 (39.050)	Prec@5 67.969 (68.886)
Epoch: [84][4220/7045]	Time 0.527 (0.239)	Data 0.475 (0.176)	Loss 2.3926 (2.5101)	Prec@1 38.281 (39.048)	Prec@5 73.047 (68.888)
Epoch: [84][4230/7045]	Time 0.102 (0.239)	Data 0.003 (0.176)	Loss 2.4662 (2.5102)	Prec@1 36.328 (39.045)	Prec@5 67.969 (68.884)
Epoch: [84][4240/7045]	Time 0.340 (0.239)	Data 0.288 (0.176)	Loss 2.4943 (2.5102)	Prec@1 39.453 (39.047)	Prec@5 71.875 (68.884)
Epoch: [84][4250/7045]	Time 0.103 (0.239)	Data 0.002 (0.176)	Loss 2.7759 (2.5104)	Prec@1 32.422 (39.043)	Prec@5 64.453 (68.881)
Epoch: [84][4260/7045]	Time 0.107 (0.239)	Data 0.054 (0.176)	Loss 2.2793 (2.5102)	Prec@1 42.188 (39.048)	Prec@5 74.219 (68.884)
Epoch: [84][4270/7045]	Time 0.102 (0.239)	Data 0.002 (0.176)	Loss 2.3784 (2.5102)	Prec@1 42.188 (39.047)	Prec@5 69.922 (68.882)
Epoch: [84][4280/7045]	Time 0.265 (0.239)	Data 0.212 (0.176)	Loss 2.4424 (2.5101)	Prec@1 39.062 (39.045)	Prec@5 67.969 (68.883)
Epoch: [84][4290/7045]	Time 0.103 (0.239)	Data 0.001 (0.176)	Loss 2.5745 (2.5101)	Prec@1 40.234 (39.043)	Prec@5 68.359 (68.882)
Epoch: [84][4300/7045]	Time 0.214 (0.239)	Data 0.162 (0.176)	Loss 2.5326 (2.5100)	Prec@1 38.281 (39.046)	Prec@5 69.922 (68.885)
Epoch: [84][4310/7045]	Time 0.367 (0.239)	Data 0.316 (0.176)	Loss 2.4507 (2.5100)	Prec@1 41.406 (39.045)	Prec@5 69.531 (68.885)
Epoch: [84][4320/7045]	Time 0.208 (0.239)	Data 0.157 (0.176)	Loss 2.5472 (2.5099)	Prec@1 39.844 (39.047)	Prec@5 67.578 (68.887)
Epoch: [84][4330/7045]	Time 0.571 (0.239)	Data 0.519 (0.176)	Loss 2.5076 (2.5097)	Prec@1 41.406 (39.047)	Prec@5 70.312 (68.890)
Epoch: [84][4340/7045]	Time 0.101 (0.239)	Data 0.005 (0.176)	Loss 2.5226 (2.5096)	Prec@1 38.281 (39.047)	Prec@5 69.922 (68.894)
Epoch: [84][4350/7045]	Time 0.326 (0.239)	Data 0.273 (0.176)	Loss 2.4501 (2.5097)	Prec@1 42.578 (39.045)	Prec@5 71.094 (68.891)
Epoch: [84][4360/7045]	Time 0.101 (0.239)	Data 0.004 (0.176)	Loss 2.5205 (2.5096)	Prec@1 39.062 (39.046)	Prec@5 66.016 (68.892)
Epoch: [84][4370/7045]	Time 0.177 (0.239)	Data 0.125 (0.176)	Loss 2.4878 (2.5095)	Prec@1 37.500 (39.050)	Prec@5 68.750 (68.893)
Epoch: [84][4380/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.7077 (2.5097)	Prec@1 32.422 (39.045)	Prec@5 63.281 (68.890)
Epoch: [84][4390/7045]	Time 0.281 (0.239)	Data 0.230 (0.176)	Loss 2.4251 (2.5096)	Prec@1 39.844 (39.047)	Prec@5 67.188 (68.891)
Epoch: [84][4400/7045]	Time 0.436 (0.239)	Data 0.384 (0.176)	Loss 2.4879 (2.5096)	Prec@1 39.453 (39.048)	Prec@5 70.703 (68.891)
Epoch: [84][4410/7045]	Time 0.166 (0.239)	Data 0.114 (0.176)	Loss 2.4048 (2.5095)	Prec@1 38.672 (39.051)	Prec@5 69.922 (68.894)
Epoch: [84][4420/7045]	Time 0.539 (0.239)	Data 0.481 (0.176)	Loss 2.7323 (2.5095)	Prec@1 35.547 (39.049)	Prec@5 67.188 (68.895)
Epoch: [84][4430/7045]	Time 0.102 (0.239)	Data 0.004 (0.176)	Loss 2.3019 (2.5095)	Prec@1 42.969 (39.048)	Prec@5 72.266 (68.896)
Epoch: [84][4440/7045]	Time 0.374 (0.239)	Data 0.316 (0.176)	Loss 2.5926 (2.5096)	Prec@1 33.984 (39.046)	Prec@5 67.969 (68.895)
Epoch: [84][4450/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.6721 (2.5096)	Prec@1 36.328 (39.046)	Prec@5 67.969 (68.897)
Epoch: [84][4460/7045]	Time 0.418 (0.239)	Data 0.366 (0.176)	Loss 2.4233 (2.5096)	Prec@1 42.969 (39.046)	Prec@5 72.266 (68.896)
Epoch: [84][4470/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.4929 (2.5096)	Prec@1 39.062 (39.048)	Prec@5 68.359 (68.896)
Epoch: [84][4480/7045]	Time 0.419 (0.239)	Data 0.365 (0.176)	Loss 2.5122 (2.5097)	Prec@1 37.891 (39.048)	Prec@5 70.703 (68.893)
Epoch: [84][4490/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.6024 (2.5096)	Prec@1 33.594 (39.047)	Prec@5 64.062 (68.894)
Epoch: [84][4500/7045]	Time 0.476 (0.239)	Data 0.421 (0.176)	Loss 2.5642 (2.5097)	Prec@1 39.062 (39.047)	Prec@5 67.188 (68.893)
Epoch: [84][4510/7045]	Time 0.103 (0.239)	Data 0.001 (0.176)	Loss 2.4454 (2.5097)	Prec@1 40.625 (39.048)	Prec@5 67.969 (68.893)
Epoch: [84][4520/7045]	Time 0.405 (0.239)	Data 0.353 (0.176)	Loss 2.5100 (2.5097)	Prec@1 38.281 (39.048)	Prec@5 68.750 (68.892)
Epoch: [84][4530/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.3401 (2.5097)	Prec@1 42.188 (39.046)	Prec@5 70.312 (68.891)
Epoch: [84][4540/7045]	Time 0.411 (0.239)	Data 0.359 (0.176)	Loss 2.3557 (2.5097)	Prec@1 37.891 (39.043)	Prec@5 71.875 (68.894)
Epoch: [84][4550/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.7827 (2.5098)	Prec@1 36.328 (39.042)	Prec@5 60.938 (68.892)
Epoch: [84][4560/7045]	Time 0.375 (0.239)	Data 0.323 (0.176)	Loss 2.4134 (2.5098)	Prec@1 37.109 (39.040)	Prec@5 74.609 (68.893)
Epoch: [84][4570/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.7093 (2.5098)	Prec@1 36.719 (39.038)	Prec@5 62.500 (68.893)
Epoch: [84][4580/7045]	Time 0.449 (0.239)	Data 0.397 (0.176)	Loss 2.6851 (2.5099)	Prec@1 39.453 (39.039)	Prec@5 64.062 (68.891)
Epoch: [84][4590/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.5919 (2.5101)	Prec@1 36.328 (39.033)	Prec@5 64.453 (68.888)
Epoch: [84][4600/7045]	Time 0.456 (0.239)	Data 0.404 (0.176)	Loss 2.3933 (2.5102)	Prec@1 39.062 (39.030)	Prec@5 70.312 (68.885)
Epoch: [84][4610/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.4404 (2.5101)	Prec@1 38.672 (39.029)	Prec@5 69.531 (68.885)
Epoch: [84][4620/7045]	Time 0.383 (0.239)	Data 0.329 (0.176)	Loss 2.5041 (2.5101)	Prec@1 35.547 (39.032)	Prec@5 68.750 (68.885)
Epoch: [84][4630/7045]	Time 0.150 (0.239)	Data 0.100 (0.176)	Loss 2.5428 (2.5102)	Prec@1 41.406 (39.030)	Prec@5 70.312 (68.884)
Epoch: [84][4640/7045]	Time 0.399 (0.239)	Data 0.347 (0.176)	Loss 2.4333 (2.5102)	Prec@1 43.359 (39.031)	Prec@5 69.922 (68.881)
Epoch: [84][4650/7045]	Time 0.464 (0.239)	Data 0.413 (0.176)	Loss 2.4158 (2.5102)	Prec@1 40.234 (39.028)	Prec@5 69.922 (68.879)
Epoch: [84][4660/7045]	Time 0.292 (0.239)	Data 0.241 (0.176)	Loss 2.4007 (2.5101)	Prec@1 46.094 (39.034)	Prec@5 70.312 (68.880)
Epoch: [84][4670/7045]	Time 0.444 (0.239)	Data 0.392 (0.176)	Loss 2.4525 (2.5100)	Prec@1 38.672 (39.035)	Prec@5 69.922 (68.880)
Epoch: [84][4680/7045]	Time 0.112 (0.239)	Data 0.061 (0.176)	Loss 2.5833 (2.5100)	Prec@1 36.719 (39.036)	Prec@5 64.844 (68.879)
Epoch: [84][4690/7045]	Time 0.376 (0.239)	Data 0.324 (0.176)	Loss 2.6073 (2.5101)	Prec@1 36.328 (39.034)	Prec@5 67.969 (68.879)
Epoch: [84][4700/7045]	Time 0.102 (0.239)	Data 0.004 (0.176)	Loss 2.6126 (2.5102)	Prec@1 37.500 (39.032)	Prec@5 66.797 (68.878)
Epoch: [84][4710/7045]	Time 0.293 (0.239)	Data 0.240 (0.176)	Loss 2.3155 (2.5102)	Prec@1 39.844 (39.030)	Prec@5 74.609 (68.877)
Epoch: [84][4720/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.5067 (2.5103)	Prec@1 39.844 (39.030)	Prec@5 69.922 (68.875)
Epoch: [84][4730/7045]	Time 0.101 (0.239)	Data 0.002 (0.176)	Loss 2.6457 (2.5103)	Prec@1 43.359 (39.029)	Prec@5 69.922 (68.876)
Epoch: [84][4740/7045]	Time 0.102 (0.239)	Data 0.007 (0.176)	Loss 2.5419 (2.5104)	Prec@1 40.234 (39.029)	Prec@5 66.016 (68.875)
Epoch: [84][4750/7045]	Time 0.272 (0.239)	Data 0.220 (0.176)	Loss 2.4605 (2.5104)	Prec@1 39.453 (39.032)	Prec@5 67.969 (68.875)
Epoch: [84][4760/7045]	Time 0.111 (0.239)	Data 0.059 (0.176)	Loss 2.4077 (2.5103)	Prec@1 41.797 (39.031)	Prec@5 73.047 (68.878)
Epoch: [84][4770/7045]	Time 0.353 (0.239)	Data 0.293 (0.176)	Loss 2.4623 (2.5104)	Prec@1 40.234 (39.033)	Prec@5 70.703 (68.874)
Epoch: [84][4780/7045]	Time 0.107 (0.239)	Data 0.055 (0.176)	Loss 2.5759 (2.5104)	Prec@1 33.594 (39.032)	Prec@5 69.141 (68.873)
Epoch: [84][4790/7045]	Time 0.356 (0.239)	Data 0.305 (0.176)	Loss 2.5124 (2.5104)	Prec@1 35.156 (39.032)	Prec@5 69.141 (68.875)
Epoch: [84][4800/7045]	Time 0.409 (0.239)	Data 0.357 (0.176)	Loss 2.5392 (2.5103)	Prec@1 38.281 (39.029)	Prec@5 68.359 (68.875)
Epoch: [84][4810/7045]	Time 0.238 (0.239)	Data 0.185 (0.176)	Loss 2.3271 (2.5104)	Prec@1 45.703 (39.029)	Prec@5 73.047 (68.874)
Epoch: [84][4820/7045]	Time 0.469 (0.239)	Data 0.417 (0.176)	Loss 2.5263 (2.5103)	Prec@1 39.844 (39.030)	Prec@5 66.406 (68.874)
Epoch: [84][4830/7045]	Time 0.107 (0.239)	Data 0.006 (0.176)	Loss 2.6530 (2.5104)	Prec@1 37.891 (39.029)	Prec@5 66.406 (68.874)
Epoch: [84][4840/7045]	Time 0.366 (0.239)	Data 0.315 (0.176)	Loss 2.5978 (2.5105)	Prec@1 34.375 (39.028)	Prec@5 68.750 (68.873)
Epoch: [84][4850/7045]	Time 0.156 (0.239)	Data 0.097 (0.176)	Loss 2.5713 (2.5105)	Prec@1 35.547 (39.028)	Prec@5 68.359 (68.873)
Epoch: [84][4860/7045]	Time 0.243 (0.239)	Data 0.192 (0.176)	Loss 2.3006 (2.5104)	Prec@1 46.875 (39.032)	Prec@5 75.000 (68.875)
Epoch: [84][4870/7045]	Time 0.166 (0.239)	Data 0.115 (0.176)	Loss 2.5016 (2.5105)	Prec@1 39.844 (39.031)	Prec@5 69.531 (68.875)
Epoch: [84][4880/7045]	Time 0.103 (0.239)	Data 0.004 (0.176)	Loss 2.4191 (2.5107)	Prec@1 39.844 (39.028)	Prec@5 67.578 (68.871)
Epoch: [84][4890/7045]	Time 0.223 (0.239)	Data 0.170 (0.176)	Loss 2.4703 (2.5107)	Prec@1 39.844 (39.027)	Prec@5 69.531 (68.872)
Epoch: [84][4900/7045]	Time 0.328 (0.239)	Data 0.276 (0.176)	Loss 2.4685 (2.5107)	Prec@1 40.625 (39.027)	Prec@5 70.312 (68.871)
Epoch: [84][4910/7045]	Time 0.153 (0.239)	Data 0.102 (0.176)	Loss 2.6488 (2.5106)	Prec@1 37.500 (39.031)	Prec@5 62.500 (68.875)
Epoch: [84][4920/7045]	Time 0.269 (0.239)	Data 0.217 (0.176)	Loss 2.5443 (2.5106)	Prec@1 37.500 (39.030)	Prec@5 67.969 (68.873)
Epoch: [84][4930/7045]	Time 0.146 (0.239)	Data 0.094 (0.176)	Loss 2.4703 (2.5105)	Prec@1 44.531 (39.034)	Prec@5 67.188 (68.872)
Epoch: [84][4940/7045]	Time 0.241 (0.239)	Data 0.190 (0.176)	Loss 2.3246 (2.5106)	Prec@1 39.062 (39.034)	Prec@5 75.000 (68.870)
Epoch: [84][4950/7045]	Time 0.265 (0.239)	Data 0.213 (0.176)	Loss 2.3905 (2.5106)	Prec@1 38.281 (39.032)	Prec@5 71.875 (68.867)
Epoch: [84][4960/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.5972 (2.5106)	Prec@1 33.594 (39.033)	Prec@5 70.703 (68.869)
Epoch: [84][4970/7045]	Time 0.255 (0.239)	Data 0.202 (0.176)	Loss 2.3786 (2.5105)	Prec@1 42.188 (39.035)	Prec@5 68.359 (68.869)
Epoch: [84][4980/7045]	Time 0.405 (0.239)	Data 0.353 (0.176)	Loss 2.3630 (2.5105)	Prec@1 42.578 (39.038)	Prec@5 71.094 (68.869)
Epoch: [84][4990/7045]	Time 0.192 (0.239)	Data 0.134 (0.176)	Loss 2.5491 (2.5105)	Prec@1 37.891 (39.040)	Prec@5 71.875 (68.871)
Epoch: [84][5000/7045]	Time 0.237 (0.239)	Data 0.185 (0.176)	Loss 2.5702 (2.5104)	Prec@1 38.672 (39.039)	Prec@5 69.531 (68.871)
Epoch: [84][5010/7045]	Time 0.292 (0.239)	Data 0.239 (0.176)	Loss 2.5983 (2.5104)	Prec@1 37.109 (39.040)	Prec@5 67.188 (68.873)
Epoch: [84][5020/7045]	Time 0.148 (0.239)	Data 0.089 (0.176)	Loss 2.6340 (2.5106)	Prec@1 37.109 (39.038)	Prec@5 63.281 (68.870)
Epoch: [84][5030/7045]	Time 0.105 (0.239)	Data 0.052 (0.176)	Loss 2.2577 (2.5106)	Prec@1 45.312 (39.039)	Prec@5 73.047 (68.871)
Epoch: [84][5040/7045]	Time 0.228 (0.239)	Data 0.176 (0.176)	Loss 2.5267 (2.5106)	Prec@1 41.406 (39.040)	Prec@5 67.969 (68.870)
Epoch: [84][5050/7045]	Time 0.281 (0.239)	Data 0.228 (0.176)	Loss 2.2937 (2.5106)	Prec@1 46.484 (39.041)	Prec@5 72.656 (68.872)
Epoch: [84][5060/7045]	Time 0.147 (0.239)	Data 0.095 (0.176)	Loss 2.3024 (2.5106)	Prec@1 38.672 (39.040)	Prec@5 72.656 (68.872)
Epoch: [84][5070/7045]	Time 0.352 (0.239)	Data 0.299 (0.176)	Loss 2.5860 (2.5106)	Prec@1 37.500 (39.042)	Prec@5 69.922 (68.872)
Epoch: [84][5080/7045]	Time 0.244 (0.239)	Data 0.192 (0.176)	Loss 2.5055 (2.5107)	Prec@1 39.453 (39.041)	Prec@5 69.141 (68.870)
Epoch: [84][5090/7045]	Time 0.191 (0.239)	Data 0.137 (0.176)	Loss 2.8271 (2.5108)	Prec@1 33.594 (39.037)	Prec@5 60.547 (68.867)
Epoch: [84][5100/7045]	Time 0.288 (0.239)	Data 0.235 (0.176)	Loss 2.5870 (2.5107)	Prec@1 37.500 (39.041)	Prec@5 70.312 (68.870)
Epoch: [84][5110/7045]	Time 0.325 (0.239)	Data 0.271 (0.176)	Loss 2.7443 (2.5108)	Prec@1 34.375 (39.039)	Prec@5 66.797 (68.868)
Epoch: [84][5120/7045]	Time 0.102 (0.239)	Data 0.003 (0.176)	Loss 2.4961 (2.5109)	Prec@1 38.672 (39.037)	Prec@5 71.875 (68.867)
Epoch: [84][5130/7045]	Time 0.159 (0.239)	Data 0.106 (0.176)	Loss 2.4576 (2.5109)	Prec@1 41.406 (39.034)	Prec@5 68.359 (68.868)
Epoch: [84][5140/7045]	Time 0.454 (0.239)	Data 0.395 (0.176)	Loss 2.6113 (2.5110)	Prec@1 37.891 (39.034)	Prec@5 67.188 (68.865)
Epoch: [84][5150/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.5941 (2.5110)	Prec@1 37.891 (39.035)	Prec@5 68.359 (68.868)
Epoch: [84][5160/7045]	Time 0.574 (0.239)	Data 0.515 (0.176)	Loss 2.4809 (2.5109)	Prec@1 37.500 (39.035)	Prec@5 66.797 (68.870)
Epoch: [84][5170/7045]	Time 0.254 (0.239)	Data 0.202 (0.176)	Loss 2.6581 (2.5110)	Prec@1 35.547 (39.033)	Prec@5 67.578 (68.869)
Epoch: [84][5180/7045]	Time 0.159 (0.239)	Data 0.101 (0.176)	Loss 2.5918 (2.5110)	Prec@1 35.547 (39.028)	Prec@5 66.797 (68.868)
Epoch: [84][5190/7045]	Time 0.162 (0.239)	Data 0.110 (0.176)	Loss 2.6997 (2.5111)	Prec@1 35.938 (39.024)	Prec@5 63.672 (68.866)
Epoch: [84][5200/7045]	Time 0.118 (0.239)	Data 0.066 (0.176)	Loss 2.2145 (2.5111)	Prec@1 43.359 (39.025)	Prec@5 74.609 (68.865)
Epoch: [84][5210/7045]	Time 0.109 (0.239)	Data 0.057 (0.176)	Loss 2.5162 (2.5112)	Prec@1 37.891 (39.022)	Prec@5 67.188 (68.864)
Epoch: [84][5220/7045]	Time 0.139 (0.239)	Data 0.087 (0.176)	Loss 2.8553 (2.5112)	Prec@1 36.328 (39.021)	Prec@5 64.062 (68.864)
Epoch: [84][5230/7045]	Time 0.498 (0.239)	Data 0.439 (0.176)	Loss 2.4479 (2.5113)	Prec@1 38.281 (39.020)	Prec@5 68.750 (68.861)
Epoch: [84][5240/7045]	Time 0.124 (0.239)	Data 0.072 (0.176)	Loss 2.4532 (2.5113)	Prec@1 46.094 (39.019)	Prec@5 66.406 (68.861)
Epoch: [84][5250/7045]	Time 0.388 (0.239)	Data 0.336 (0.176)	Loss 2.6082 (2.5113)	Prec@1 36.328 (39.017)	Prec@5 66.406 (68.861)
Epoch: [84][5260/7045]	Time 0.400 (0.239)	Data 0.348 (0.176)	Loss 2.6988 (2.5113)	Prec@1 36.719 (39.018)	Prec@5 65.234 (68.860)
Epoch: [84][5270/7045]	Time 0.108 (0.239)	Data 0.005 (0.176)	Loss 2.6747 (2.5112)	Prec@1 28.516 (39.020)	Prec@5 64.453 (68.862)
Epoch: [84][5280/7045]	Time 0.279 (0.239)	Data 0.226 (0.176)	Loss 2.5378 (2.5113)	Prec@1 37.109 (39.017)	Prec@5 69.922 (68.859)
Epoch: [84][5290/7045]	Time 0.099 (0.239)	Data 0.045 (0.176)	Loss 2.4663 (2.5114)	Prec@1 35.938 (39.014)	Prec@5 65.234 (68.858)
Epoch: [84][5300/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.4853 (2.5115)	Prec@1 37.109 (39.010)	Prec@5 70.703 (68.856)
Epoch: [84][5310/7045]	Time 0.110 (0.239)	Data 0.058 (0.176)	Loss 2.4450 (2.5115)	Prec@1 41.406 (39.010)	Prec@5 71.094 (68.856)
Epoch: [84][5320/7045]	Time 0.562 (0.239)	Data 0.510 (0.176)	Loss 2.2731 (2.5115)	Prec@1 44.922 (39.011)	Prec@5 73.438 (68.856)
Epoch: [84][5330/7045]	Time 0.221 (0.239)	Data 0.169 (0.176)	Loss 2.6813 (2.5116)	Prec@1 35.938 (39.008)	Prec@5 64.062 (68.853)
Epoch: [84][5340/7045]	Time 0.339 (0.239)	Data 0.288 (0.176)	Loss 2.5154 (2.5118)	Prec@1 40.234 (39.006)	Prec@5 68.750 (68.852)
Epoch: [84][5350/7045]	Time 0.426 (0.239)	Data 0.374 (0.176)	Loss 2.6267 (2.5118)	Prec@1 38.672 (39.006)	Prec@5 66.406 (68.854)
Epoch: [84][5360/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.2961 (2.5118)	Prec@1 42.188 (39.005)	Prec@5 73.828 (68.855)
Epoch: [84][5370/7045]	Time 0.235 (0.239)	Data 0.183 (0.176)	Loss 2.4701 (2.5118)	Prec@1 40.625 (39.004)	Prec@5 69.141 (68.854)
Epoch: [84][5380/7045]	Time 0.102 (0.239)	Data 0.044 (0.176)	Loss 2.3762 (2.5119)	Prec@1 43.750 (39.004)	Prec@5 74.609 (68.853)
Epoch: [84][5390/7045]	Time 0.120 (0.239)	Data 0.068 (0.176)	Loss 2.6666 (2.5119)	Prec@1 35.938 (39.001)	Prec@5 63.281 (68.852)
Epoch: [84][5400/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.6555 (2.5120)	Prec@1 36.328 (38.999)	Prec@5 66.016 (68.853)
Epoch: [84][5410/7045]	Time 0.256 (0.239)	Data 0.204 (0.176)	Loss 2.6946 (2.5121)	Prec@1 33.984 (38.996)	Prec@5 66.016 (68.850)
Epoch: [84][5420/7045]	Time 0.328 (0.239)	Data 0.275 (0.176)	Loss 2.4035 (2.5121)	Prec@1 41.797 (38.995)	Prec@5 72.266 (68.851)
Epoch: [84][5430/7045]	Time 0.175 (0.239)	Data 0.122 (0.176)	Loss 2.4041 (2.5121)	Prec@1 44.531 (38.997)	Prec@5 75.391 (68.853)
Epoch: [84][5440/7045]	Time 0.548 (0.239)	Data 0.489 (0.176)	Loss 2.5788 (2.5121)	Prec@1 39.062 (38.996)	Prec@5 69.531 (68.854)
Epoch: [84][5450/7045]	Time 0.111 (0.239)	Data 0.059 (0.176)	Loss 2.5107 (2.5121)	Prec@1 40.625 (38.998)	Prec@5 69.531 (68.854)
Epoch: [84][5460/7045]	Time 0.650 (0.239)	Data 0.591 (0.176)	Loss 2.5856 (2.5121)	Prec@1 36.719 (38.997)	Prec@5 66.016 (68.853)
Epoch: [84][5470/7045]	Time 0.102 (0.239)	Data 0.004 (0.176)	Loss 2.4799 (2.5121)	Prec@1 37.891 (38.998)	Prec@5 69.922 (68.854)
Epoch: [84][5480/7045]	Time 0.637 (0.239)	Data 0.576 (0.176)	Loss 2.5926 (2.5121)	Prec@1 35.938 (38.996)	Prec@5 64.844 (68.853)
Epoch: [84][5490/7045]	Time 0.103 (0.239)	Data 0.005 (0.176)	Loss 2.4563 (2.5120)	Prec@1 40.234 (38.999)	Prec@5 71.094 (68.855)
Epoch: [84][5500/7045]	Time 0.645 (0.239)	Data 0.594 (0.176)	Loss 2.5782 (2.5120)	Prec@1 37.500 (38.999)	Prec@5 68.750 (68.856)
Epoch: [84][5510/7045]	Time 0.103 (0.239)	Data 0.001 (0.176)	Loss 2.5469 (2.5121)	Prec@1 37.891 (38.995)	Prec@5 64.453 (68.854)
Epoch: [84][5520/7045]	Time 0.632 (0.239)	Data 0.580 (0.176)	Loss 2.4624 (2.5121)	Prec@1 39.844 (38.995)	Prec@5 69.531 (68.853)
Epoch: [84][5530/7045]	Time 0.109 (0.239)	Data 0.001 (0.176)	Loss 2.5656 (2.5122)	Prec@1 41.406 (38.991)	Prec@5 66.406 (68.850)
Epoch: [84][5540/7045]	Time 0.615 (0.239)	Data 0.557 (0.176)	Loss 2.5884 (2.5123)	Prec@1 37.109 (38.987)	Prec@5 70.703 (68.848)
Epoch: [84][5550/7045]	Time 0.097 (0.239)	Data 0.001 (0.176)	Loss 2.4579 (2.5122)	Prec@1 39.062 (38.989)	Prec@5 69.922 (68.849)
Epoch: [84][5560/7045]	Time 0.630 (0.239)	Data 0.573 (0.176)	Loss 2.3819 (2.5121)	Prec@1 44.922 (38.994)	Prec@5 69.922 (68.850)
Epoch: [84][5570/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.4943 (2.5120)	Prec@1 41.797 (38.996)	Prec@5 68.750 (68.851)
Epoch: [84][5580/7045]	Time 0.644 (0.239)	Data 0.593 (0.176)	Loss 2.6881 (2.5120)	Prec@1 38.672 (38.996)	Prec@5 65.234 (68.850)
Epoch: [84][5590/7045]	Time 0.109 (0.239)	Data 0.001 (0.176)	Loss 2.7776 (2.5120)	Prec@1 36.719 (38.997)	Prec@5 64.453 (68.848)
Epoch: [84][5600/7045]	Time 0.791 (0.239)	Data 0.739 (0.176)	Loss 2.5816 (2.5121)	Prec@1 39.844 (38.994)	Prec@5 67.188 (68.847)
Epoch: [84][5610/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.6902 (2.5121)	Prec@1 41.016 (38.993)	Prec@5 63.672 (68.845)
Epoch: [84][5620/7045]	Time 0.655 (0.239)	Data 0.604 (0.176)	Loss 2.6050 (2.5121)	Prec@1 34.766 (38.993)	Prec@5 66.797 (68.846)
Epoch: [84][5630/7045]	Time 0.111 (0.239)	Data 0.059 (0.176)	Loss 2.5694 (2.5120)	Prec@1 33.984 (38.992)	Prec@5 68.359 (68.849)
Epoch: [84][5640/7045]	Time 0.590 (0.239)	Data 0.538 (0.176)	Loss 2.5658 (2.5120)	Prec@1 42.969 (38.994)	Prec@5 67.188 (68.847)
Epoch: [84][5650/7045]	Time 0.100 (0.239)	Data 0.001 (0.176)	Loss 2.4641 (2.5120)	Prec@1 39.062 (38.995)	Prec@5 69.531 (68.848)
Epoch: [84][5660/7045]	Time 0.642 (0.239)	Data 0.591 (0.176)	Loss 2.6039 (2.5120)	Prec@1 35.938 (38.993)	Prec@5 73.047 (68.849)
Epoch: [84][5670/7045]	Time 0.110 (0.239)	Data 0.058 (0.176)	Loss 2.5702 (2.5121)	Prec@1 39.062 (38.992)	Prec@5 66.797 (68.848)
Epoch: [84][5680/7045]	Time 0.613 (0.239)	Data 0.561 (0.176)	Loss 2.6051 (2.5120)	Prec@1 38.672 (38.995)	Prec@5 70.312 (68.850)
Epoch: [84][5690/7045]	Time 0.113 (0.239)	Data 0.061 (0.176)	Loss 2.3400 (2.5121)	Prec@1 37.109 (38.991)	Prec@5 70.312 (68.849)
Epoch: [84][5700/7045]	Time 0.586 (0.239)	Data 0.534 (0.176)	Loss 2.4434 (2.5120)	Prec@1 39.453 (38.990)	Prec@5 67.969 (68.848)
Epoch: [84][5710/7045]	Time 0.112 (0.239)	Data 0.059 (0.176)	Loss 2.4486 (2.5120)	Prec@1 39.062 (38.990)	Prec@5 68.359 (68.848)
Epoch: [84][5720/7045]	Time 0.655 (0.239)	Data 0.603 (0.176)	Loss 2.4299 (2.5120)	Prec@1 41.797 (38.991)	Prec@5 68.359 (68.848)
Epoch: [84][5730/7045]	Time 0.133 (0.239)	Data 0.081 (0.175)	Loss 2.5336 (2.5118)	Prec@1 37.891 (38.994)	Prec@5 70.312 (68.850)
Epoch: [84][5740/7045]	Time 0.535 (0.239)	Data 0.483 (0.176)	Loss 2.5666 (2.5120)	Prec@1 37.109 (38.991)	Prec@5 67.188 (68.846)
Epoch: [84][5750/7045]	Time 0.110 (0.239)	Data 0.059 (0.175)	Loss 2.3611 (2.5120)	Prec@1 40.234 (38.991)	Prec@5 71.094 (68.843)
Epoch: [84][5760/7045]	Time 0.476 (0.239)	Data 0.425 (0.176)	Loss 2.5854 (2.5120)	Prec@1 33.984 (38.991)	Prec@5 66.797 (68.843)
Epoch: [84][5770/7045]	Time 0.112 (0.239)	Data 0.059 (0.175)	Loss 2.5341 (2.5120)	Prec@1 38.672 (38.991)	Prec@5 67.969 (68.843)
Epoch: [84][5780/7045]	Time 0.428 (0.239)	Data 0.376 (0.175)	Loss 2.5060 (2.5119)	Prec@1 39.844 (38.990)	Prec@5 69.922 (68.845)
Epoch: [84][5790/7045]	Time 0.111 (0.239)	Data 0.058 (0.175)	Loss 2.5885 (2.5120)	Prec@1 39.844 (38.988)	Prec@5 67.969 (68.845)
Epoch: [84][5800/7045]	Time 0.396 (0.239)	Data 0.345 (0.175)	Loss 2.5844 (2.5120)	Prec@1 33.984 (38.989)	Prec@5 72.656 (68.847)
Epoch: [84][5810/7045]	Time 0.168 (0.239)	Data 0.115 (0.175)	Loss 2.4278 (2.5120)	Prec@1 42.578 (38.988)	Prec@5 69.531 (68.846)
Epoch: [84][5820/7045]	Time 0.418 (0.239)	Data 0.365 (0.175)	Loss 2.4001 (2.5121)	Prec@1 41.016 (38.987)	Prec@5 71.875 (68.845)
Epoch: [84][5830/7045]	Time 0.200 (0.239)	Data 0.150 (0.175)	Loss 2.6508 (2.5122)	Prec@1 36.328 (38.985)	Prec@5 65.234 (68.842)
Epoch: [84][5840/7045]	Time 0.437 (0.239)	Data 0.385 (0.175)	Loss 2.5438 (2.5122)	Prec@1 37.891 (38.986)	Prec@5 68.359 (68.841)
Epoch: [84][5850/7045]	Time 0.192 (0.239)	Data 0.140 (0.175)	Loss 2.2556 (2.5122)	Prec@1 46.484 (38.987)	Prec@5 73.438 (68.841)
Epoch: [84][5860/7045]	Time 0.456 (0.239)	Data 0.405 (0.175)	Loss 2.5237 (2.5122)	Prec@1 40.234 (38.989)	Prec@5 67.578 (68.842)
Epoch: [84][5870/7045]	Time 0.219 (0.239)	Data 0.167 (0.175)	Loss 2.3550 (2.5121)	Prec@1 37.109 (38.990)	Prec@5 73.047 (68.843)
Epoch: [84][5880/7045]	Time 0.448 (0.239)	Data 0.391 (0.175)	Loss 2.8280 (2.5122)	Prec@1 33.594 (38.989)	Prec@5 66.016 (68.840)
Epoch: [84][5890/7045]	Time 0.265 (0.239)	Data 0.213 (0.175)	Loss 2.5906 (2.5122)	Prec@1 36.328 (38.992)	Prec@5 66.797 (68.841)
Epoch: [84][5900/7045]	Time 0.416 (0.239)	Data 0.356 (0.175)	Loss 2.5459 (2.5123)	Prec@1 37.500 (38.990)	Prec@5 66.797 (68.838)
Epoch: [84][5910/7045]	Time 0.271 (0.239)	Data 0.220 (0.175)	Loss 2.5131 (2.5122)	Prec@1 35.938 (38.991)	Prec@5 67.578 (68.840)
Epoch: [84][5920/7045]	Time 0.244 (0.239)	Data 0.191 (0.175)	Loss 2.6512 (2.5122)	Prec@1 39.453 (38.990)	Prec@5 68.750 (68.839)
Epoch: [84][5930/7045]	Time 0.278 (0.239)	Data 0.226 (0.175)	Loss 2.6774 (2.5122)	Prec@1 34.766 (38.988)	Prec@5 67.578 (68.839)
Epoch: [84][5940/7045]	Time 0.180 (0.239)	Data 0.128 (0.176)	Loss 2.7571 (2.5122)	Prec@1 32.031 (38.987)	Prec@5 66.406 (68.840)
Epoch: [84][5950/7045]	Time 0.238 (0.239)	Data 0.186 (0.176)	Loss 2.4639 (2.5121)	Prec@1 38.281 (38.989)	Prec@5 67.969 (68.841)
Epoch: [84][5960/7045]	Time 0.156 (0.239)	Data 0.103 (0.176)	Loss 2.5543 (2.5121)	Prec@1 39.844 (38.988)	Prec@5 69.141 (68.840)
Epoch: [84][5970/7045]	Time 0.223 (0.239)	Data 0.171 (0.176)	Loss 2.5133 (2.5121)	Prec@1 38.672 (38.988)	Prec@5 65.625 (68.841)
Epoch: [84][5980/7045]	Time 0.127 (0.239)	Data 0.076 (0.176)	Loss 2.2911 (2.5121)	Prec@1 42.969 (38.989)	Prec@5 75.781 (68.840)
Epoch: [84][5990/7045]	Time 0.172 (0.239)	Data 0.119 (0.176)	Loss 2.5346 (2.5120)	Prec@1 34.375 (38.989)	Prec@5 69.141 (68.839)
Epoch: [84][6000/7045]	Time 0.123 (0.239)	Data 0.070 (0.176)	Loss 2.2712 (2.5121)	Prec@1 40.625 (38.988)	Prec@5 71.094 (68.840)
Epoch: [84][6010/7045]	Time 0.140 (0.239)	Data 0.088 (0.176)	Loss 2.5755 (2.5122)	Prec@1 37.500 (38.986)	Prec@5 68.359 (68.837)
Epoch: [84][6020/7045]	Time 0.102 (0.239)	Data 0.005 (0.176)	Loss 2.6167 (2.5122)	Prec@1 33.203 (38.983)	Prec@5 64.844 (68.837)
Epoch: [84][6030/7045]	Time 0.136 (0.239)	Data 0.083 (0.176)	Loss 2.5538 (2.5122)	Prec@1 39.844 (38.983)	Prec@5 63.281 (68.836)
Epoch: [84][6040/7045]	Time 0.102 (0.239)	Data 0.043 (0.176)	Loss 2.4913 (2.5122)	Prec@1 37.109 (38.982)	Prec@5 70.312 (68.835)
Epoch: [84][6050/7045]	Time 0.156 (0.239)	Data 0.103 (0.176)	Loss 2.7211 (2.5123)	Prec@1 37.109 (38.981)	Prec@5 67.188 (68.835)
Epoch: [84][6060/7045]	Time 0.329 (0.239)	Data 0.278 (0.176)	Loss 2.4567 (2.5123)	Prec@1 40.625 (38.981)	Prec@5 69.531 (68.834)
Epoch: [84][6070/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.5201 (2.5123)	Prec@1 36.719 (38.980)	Prec@5 66.406 (68.833)
Epoch: [84][6080/7045]	Time 0.373 (0.239)	Data 0.321 (0.176)	Loss 2.4828 (2.5122)	Prec@1 38.672 (38.982)	Prec@5 67.578 (68.834)
Epoch: [84][6090/7045]	Time 0.399 (0.239)	Data 0.346 (0.176)	Loss 2.5205 (2.5122)	Prec@1 36.719 (38.984)	Prec@5 69.531 (68.833)
Epoch: [84][6100/7045]	Time 0.143 (0.239)	Data 0.090 (0.176)	Loss 2.5933 (2.5122)	Prec@1 38.281 (38.982)	Prec@5 64.844 (68.831)
Epoch: [84][6110/7045]	Time 0.265 (0.239)	Data 0.213 (0.176)	Loss 2.4183 (2.5121)	Prec@1 36.719 (38.983)	Prec@5 69.141 (68.832)
Epoch: [84][6120/7045]	Time 0.199 (0.239)	Data 0.147 (0.176)	Loss 2.5708 (2.5122)	Prec@1 37.891 (38.982)	Prec@5 69.531 (68.831)
Epoch: [84][6130/7045]	Time 0.103 (0.239)	Data 0.001 (0.176)	Loss 2.3611 (2.5121)	Prec@1 42.969 (38.981)	Prec@5 70.312 (68.832)
Epoch: [84][6140/7045]	Time 0.242 (0.239)	Data 0.191 (0.176)	Loss 2.5070 (2.5122)	Prec@1 41.016 (38.979)	Prec@5 65.625 (68.829)
Epoch: [84][6150/7045]	Time 0.484 (0.239)	Data 0.433 (0.176)	Loss 2.6931 (2.5122)	Prec@1 36.328 (38.980)	Prec@5 64.453 (68.829)
Epoch: [84][6160/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.6463 (2.5123)	Prec@1 35.156 (38.978)	Prec@5 70.312 (68.827)
Epoch: [84][6170/7045]	Time 0.427 (0.239)	Data 0.376 (0.176)	Loss 2.3921 (2.5122)	Prec@1 42.969 (38.979)	Prec@5 67.969 (68.828)
Epoch: [84][6180/7045]	Time 0.269 (0.239)	Data 0.216 (0.176)	Loss 2.5872 (2.5122)	Prec@1 37.891 (38.979)	Prec@5 70.312 (68.829)
Epoch: [84][6190/7045]	Time 0.102 (0.239)	Data 0.002 (0.176)	Loss 2.6217 (2.5123)	Prec@1 36.719 (38.976)	Prec@5 65.625 (68.828)
Epoch: [84][6200/7045]	Time 0.205 (0.239)	Data 0.154 (0.176)	Loss 2.2966 (2.5124)	Prec@1 42.578 (38.973)	Prec@5 72.266 (68.826)
Epoch: [84][6210/7045]	Time 0.272 (0.239)	Data 0.220 (0.176)	Loss 2.5554 (2.5124)	Prec@1 36.328 (38.974)	Prec@5 66.406 (68.826)
Epoch: [84][6220/7045]	Time 0.214 (0.239)	Data 0.161 (0.176)	Loss 2.4608 (2.5124)	Prec@1 39.844 (38.976)	Prec@5 67.578 (68.827)
Epoch: [84][6230/7045]	Time 0.235 (0.239)	Data 0.184 (0.176)	Loss 2.5409 (2.5124)	Prec@1 37.891 (38.976)	Prec@5 68.750 (68.829)
Epoch: [84][6240/7045]	Time 0.466 (0.239)	Data 0.413 (0.176)	Loss 2.5223 (2.5123)	Prec@1 36.719 (38.976)	Prec@5 67.578 (68.830)
Epoch: [84][6250/7045]	Time 0.164 (0.239)	Data 0.112 (0.176)	Loss 2.3919 (2.5123)	Prec@1 42.188 (38.974)	Prec@5 70.703 (68.828)
Epoch: [84][6260/7045]	Time 0.289 (0.239)	Data 0.236 (0.176)	Loss 2.5502 (2.5123)	Prec@1 39.844 (38.976)	Prec@5 67.578 (68.829)
Epoch: [84][6270/7045]	Time 0.102 (0.239)	Data 0.006 (0.176)	Loss 2.6478 (2.5123)	Prec@1 40.625 (38.979)	Prec@5 65.625 (68.830)
Epoch: [84][6280/7045]	Time 0.144 (0.239)	Data 0.090 (0.176)	Loss 2.4468 (2.5122)	Prec@1 42.578 (38.980)	Prec@5 68.359 (68.831)
Epoch: [84][6290/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.5070 (2.5122)	Prec@1 38.672 (38.978)	Prec@5 69.922 (68.831)
Epoch: [84][6300/7045]	Time 0.406 (0.239)	Data 0.355 (0.176)	Loss 2.5082 (2.5122)	Prec@1 39.453 (38.980)	Prec@5 67.969 (68.832)
Epoch: [84][6310/7045]	Time 0.268 (0.239)	Data 0.208 (0.176)	Loss 2.5811 (2.5121)	Prec@1 39.062 (38.979)	Prec@5 66.406 (68.832)
Epoch: [84][6320/7045]	Time 0.309 (0.239)	Data 0.257 (0.176)	Loss 2.4707 (2.5121)	Prec@1 39.062 (38.980)	Prec@5 69.141 (68.834)
Epoch: [84][6330/7045]	Time 0.309 (0.239)	Data 0.257 (0.176)	Loss 2.5000 (2.5120)	Prec@1 38.281 (38.982)	Prec@5 67.969 (68.835)
Epoch: [84][6340/7045]	Time 0.102 (0.239)	Data 0.001 (0.176)	Loss 2.4766 (2.5120)	Prec@1 36.719 (38.982)	Prec@5 69.922 (68.836)
Epoch: [84][6350/7045]	Time 0.210 (0.239)	Data 0.158 (0.176)	Loss 2.4017 (2.5118)	Prec@1 41.406 (38.985)	Prec@5 73.438 (68.838)
Epoch: [84][6360/7045]	Time 0.102 (0.239)	Data 0.002 (0.176)	Loss 2.4064 (2.5118)	Prec@1 41.797 (38.986)	Prec@5 70.312 (68.837)
Epoch: [84][6370/7045]	Time 0.103 (0.239)	Data 0.001 (0.176)	Loss 2.5054 (2.5119)	Prec@1 37.109 (38.983)	Prec@5 67.578 (68.836)
Epoch: [84][6380/7045]	Time 0.103 (0.239)	Data 0.049 (0.176)	Loss 2.4448 (2.5118)	Prec@1 40.625 (38.984)	Prec@5 69.531 (68.838)
Epoch: [84][6390/7045]	Time 0.284 (0.239)	Data 0.233 (0.176)	Loss 2.4378 (2.5118)	Prec@1 41.016 (38.986)	Prec@5 71.094 (68.837)
Epoch: [84][6400/7045]	Time 0.110 (0.239)	Data 0.058 (0.176)	Loss 2.5820 (2.5119)	Prec@1 36.719 (38.985)	Prec@5 64.062 (68.836)
Epoch: [84][6410/7045]	Time 0.463 (0.239)	Data 0.411 (0.176)	Loss 2.7783 (2.5119)	Prec@1 35.938 (38.984)	Prec@5 65.234 (68.834)
Epoch: [84][6420/7045]	Time 0.152 (0.239)	Data 0.100 (0.176)	Loss 2.6937 (2.5120)	Prec@1 37.891 (38.983)	Prec@5 69.141 (68.834)
Epoch: [84][6430/7045]	Time 0.421 (0.239)	Data 0.368 (0.176)	Loss 2.5713 (2.5120)	Prec@1 39.844 (38.986)	Prec@5 65.234 (68.834)
Epoch: [84][6440/7045]	Time 0.379 (0.239)	Data 0.327 (0.176)	Loss 2.3899 (2.5120)	Prec@1 41.797 (38.985)	Prec@5 71.875 (68.832)
Epoch: [84][6450/7045]	Time 0.227 (0.239)	Data 0.175 (0.176)	Loss 2.6374 (2.5121)	Prec@1 32.812 (38.982)	Prec@5 69.141 (68.831)
Epoch: [84][6460/7045]	Time 0.313 (0.239)	Data 0.260 (0.176)	Loss 2.4554 (2.5121)	Prec@1 38.281 (38.980)	Prec@5 67.969 (68.831)
Epoch: [84][6470/7045]	Time 0.120 (0.239)	Data 0.061 (0.176)	Loss 2.4223 (2.5120)	Prec@1 41.406 (38.981)	Prec@5 66.406 (68.832)
Epoch: [84][6480/7045]	Time 0.175 (0.239)	Data 0.122 (0.176)	Loss 2.3844 (2.5121)	Prec@1 42.578 (38.981)	Prec@5 66.016 (68.830)
Epoch: [84][6490/7045]	Time 0.174 (0.239)	Data 0.123 (0.176)	Loss 2.4970 (2.5121)	Prec@1 38.672 (38.982)	Prec@5 66.797 (68.830)
Epoch: [84][6500/7045]	Time 0.101 (0.239)	Data 0.001 (0.176)	Loss 2.4829 (2.5121)	Prec@1 41.016 (38.982)	Prec@5 72.656 (68.828)
Epoch: [84][6510/7045]	Time 0.199 (0.239)	Data 0.148 (0.176)	Loss 2.5698 (2.5122)	Prec@1 40.234 (38.981)	Prec@5 68.359 (68.827)
Epoch: [84][6520/7045]	Time 0.286 (0.239)	Data 0.228 (0.176)	Loss 2.5188 (2.5122)	Prec@1 37.891 (38.980)	Prec@5 71.094 (68.827)
Epoch: [84][6530/7045]	Time 0.120 (0.239)	Data 0.068 (0.176)	Loss 2.4550 (2.5122)	Prec@1 42.578 (38.980)	Prec@5 67.969 (68.826)
Epoch: [84][6540/7045]	Time 0.486 (0.239)	Data 0.434 (0.176)	Loss 2.5784 (2.5122)	Prec@1 35.156 (38.981)	Prec@5 68.359 (68.828)
Epoch: [84][6550/7045]	Time 0.144 (0.239)	Data 0.094 (0.176)	Loss 2.6714 (2.5122)	Prec@1 34.375 (38.980)	Prec@5 65.625 (68.826)
Epoch: [84][6560/7045]	Time 0.356 (0.239)	Data 0.304 (0.176)	Loss 2.4121 (2.5122)	Prec@1 39.453 (38.982)	Prec@5 73.047 (68.828)
Epoch: [84][6570/7045]	Time 0.156 (0.239)	Data 0.104 (0.176)	Loss 2.5970 (2.5122)	Prec@1 36.328 (38.981)	Prec@5 69.531 (68.828)
Epoch: [84][6580/7045]	Time 0.300 (0.239)	Data 0.248 (0.176)	Loss 2.6294 (2.5121)	Prec@1 33.984 (38.981)	Prec@5 66.016 (68.829)
Epoch: [84][6590/7045]	Time 0.222 (0.239)	Data 0.169 (0.176)	Loss 2.4057 (2.5122)	Prec@1 42.578 (38.981)	Prec@5 70.312 (68.828)
Epoch: [84][6600/7045]	Time 0.294 (0.239)	Data 0.235 (0.176)	Loss 2.4521 (2.5122)	Prec@1 39.062 (38.979)	Prec@5 67.578 (68.826)
Epoch: [84][6610/7045]	Time 0.222 (0.239)	Data 0.171 (0.176)	Loss 2.4396 (2.5123)	Prec@1 42.188 (38.980)	Prec@5 67.969 (68.826)
Epoch: [84][6620/7045]	Time 0.321 (0.239)	Data 0.269 (0.176)	Loss 2.4969 (2.5122)	Prec@1 40.234 (38.981)	Prec@5 69.922 (68.827)
Epoch: [84][6630/7045]	Time 0.137 (0.239)	Data 0.086 (0.176)	Loss 2.5982 (2.5123)	Prec@1 37.109 (38.979)	Prec@5 66.016 (68.825)
Epoch: [84][6640/7045]	Time 0.410 (0.239)	Data 0.359 (0.176)	Loss 2.5032 (2.5123)	Prec@1 37.500 (38.980)	Prec@5 71.875 (68.825)
Epoch: [84][6650/7045]	Time 0.217 (0.239)	Data 0.167 (0.176)	Loss 2.2718 (2.5122)	Prec@1 44.531 (38.983)	Prec@5 72.266 (68.826)
Epoch: [84][6660/7045]	Time 0.421 (0.239)	Data 0.371 (0.176)	Loss 2.5385 (2.5122)	Prec@1 41.406 (38.983)	Prec@5 68.750 (68.827)
Epoch: [84][6670/7045]	Time 0.248 (0.239)	Data 0.196 (0.176)	Loss 2.6470 (2.5122)	Prec@1 40.234 (38.984)	Prec@5 64.453 (68.826)
Epoch: [84][6680/7045]	Time 0.348 (0.239)	Data 0.295 (0.176)	Loss 2.5930 (2.5122)	Prec@1 36.328 (38.983)	Prec@5 68.359 (68.828)
Epoch: [84][6690/7045]	Time 0.263 (0.239)	Data 0.210 (0.176)	Loss 2.5179 (2.5122)	Prec@1 38.672 (38.983)	Prec@5 69.141 (68.827)
Epoch: [84][6700/7045]	Time 0.347 (0.239)	Data 0.295 (0.176)	Loss 2.4207 (2.5123)	Prec@1 44.141 (38.983)	Prec@5 68.750 (68.825)
Epoch: [84][6710/7045]	Time 0.311 (0.239)	Data 0.258 (0.176)	Loss 2.5547 (2.5123)	Prec@1 37.109 (38.980)	Prec@5 67.188 (68.823)
Epoch: [84][6720/7045]	Time 0.380 (0.239)	Data 0.328 (0.176)	Loss 2.4761 (2.5123)	Prec@1 37.500 (38.980)	Prec@5 71.875 (68.823)
Epoch: [84][6730/7045]	Time 0.348 (0.239)	Data 0.297 (0.176)	Loss 2.4224 (2.5122)	Prec@1 40.234 (38.982)	Prec@5 72.656 (68.824)
Epoch: [84][6740/7045]	Time 0.386 (0.239)	Data 0.333 (0.176)	Loss 2.4655 (2.5123)	Prec@1 37.891 (38.979)	Prec@5 69.531 (68.822)
Epoch: [84][6750/7045]	Time 0.334 (0.239)	Data 0.276 (0.176)	Loss 2.4962 (2.5123)	Prec@1 42.969 (38.978)	Prec@5 71.094 (68.822)
Epoch: [84][6760/7045]	Time 0.399 (0.239)	Data 0.347 (0.176)	Loss 2.4346 (2.5123)	Prec@1 38.281 (38.977)	Prec@5 71.484 (68.821)
Epoch: [84][6770/7045]	Time 0.386 (0.239)	Data 0.334 (0.176)	Loss 2.6221 (2.5124)	Prec@1 40.234 (38.977)	Prec@5 69.141 (68.822)
Epoch: [84][6780/7045]	Time 0.317 (0.239)	Data 0.265 (0.176)	Loss 2.6690 (2.5124)	Prec@1 34.375 (38.977)	Prec@5 64.844 (68.820)
Epoch: [84][6790/7045]	Time 0.400 (0.239)	Data 0.347 (0.176)	Loss 2.5091 (2.5123)	Prec@1 41.406 (38.980)	Prec@5 68.359 (68.821)
Epoch: [84][6800/7045]	Time 0.382 (0.239)	Data 0.331 (0.176)	Loss 2.6653 (2.5124)	Prec@1 36.328 (38.978)	Prec@5 67.578 (68.820)
Epoch: [84][6810/7045]	Time 0.395 (0.239)	Data 0.344 (0.176)	Loss 2.5610 (2.5124)	Prec@1 40.234 (38.978)	Prec@5 69.922 (68.818)
Epoch: [84][6820/7045]	Time 0.299 (0.239)	Data 0.247 (0.176)	Loss 2.6825 (2.5124)	Prec@1 37.109 (38.979)	Prec@5 62.500 (68.817)
Epoch: [84][6830/7045]	Time 0.428 (0.239)	Data 0.376 (0.176)	Loss 2.4774 (2.5124)	Prec@1 37.500 (38.978)	Prec@5 71.094 (68.817)
Epoch: [84][6840/7045]	Time 0.294 (0.239)	Data 0.243 (0.176)	Loss 2.6200 (2.5124)	Prec@1 35.547 (38.977)	Prec@5 67.969 (68.818)
Epoch: [84][6850/7045]	Time 0.429 (0.239)	Data 0.376 (0.176)	Loss 2.5889 (2.5124)	Prec@1 37.891 (38.977)	Prec@5 67.578 (68.818)
Epoch: [84][6860/7045]	Time 0.256 (0.239)	Data 0.204 (0.176)	Loss 2.5633 (2.5124)	Prec@1 40.625 (38.976)	Prec@5 64.062 (68.816)
Epoch: [84][6870/7045]	Time 0.454 (0.239)	Data 0.402 (0.176)	Loss 2.5281 (2.5125)	Prec@1 42.969 (38.976)	Prec@5 68.750 (68.816)
Epoch: [84][6880/7045]	Time 0.289 (0.239)	Data 0.237 (0.176)	Loss 2.9268 (2.5126)	Prec@1 29.688 (38.973)	Prec@5 60.156 (68.814)
Epoch: [84][6890/7045]	Time 0.399 (0.239)	Data 0.347 (0.176)	Loss 2.5541 (2.5127)	Prec@1 34.375 (38.969)	Prec@5 73.047 (68.813)
Epoch: [84][6900/7045]	Time 0.296 (0.239)	Data 0.244 (0.176)	Loss 2.6108 (2.5126)	Prec@1 39.453 (38.971)	Prec@5 70.703 (68.815)
Epoch: [84][6910/7045]	Time 0.424 (0.239)	Data 0.365 (0.176)	Loss 2.6785 (2.5126)	Prec@1 34.375 (38.972)	Prec@5 64.062 (68.815)
Epoch: [84][6920/7045]	Time 0.342 (0.239)	Data 0.290 (0.176)	Loss 2.6875 (2.5126)	Prec@1 35.156 (38.971)	Prec@5 66.016 (68.815)
Epoch: [84][6930/7045]	Time 0.421 (0.239)	Data 0.369 (0.176)	Loss 2.5839 (2.5127)	Prec@1 37.500 (38.971)	Prec@5 66.797 (68.816)
Epoch: [84][6940/7045]	Time 0.376 (0.239)	Data 0.323 (0.176)	Loss 2.5214 (2.5127)	Prec@1 35.156 (38.970)	Prec@5 68.359 (68.818)
Epoch: [84][6950/7045]	Time 0.382 (0.239)	Data 0.330 (0.176)	Loss 2.2594 (2.5127)	Prec@1 39.844 (38.967)	Prec@5 72.266 (68.816)
Epoch: [84][6960/7045]	Time 0.385 (0.239)	Data 0.333 (0.176)	Loss 2.4151 (2.5125)	Prec@1 43.359 (38.970)	Prec@5 69.922 (68.820)
Epoch: [84][6970/7045]	Time 0.440 (0.239)	Data 0.388 (0.176)	Loss 2.5260 (2.5124)	Prec@1 37.500 (38.971)	Prec@5 71.094 (68.820)
Epoch: [84][6980/7045]	Time 0.248 (0.239)	Data 0.196 (0.176)	Loss 2.4428 (2.5124)	Prec@1 43.359 (38.971)	Prec@5 66.797 (68.820)
Epoch: [84][6990/7045]	Time 0.454 (0.239)	Data 0.402 (0.176)	Loss 2.6025 (2.5124)	Prec@1 33.984 (38.970)	Prec@5 67.969 (68.820)
Epoch: [84][7000/7045]	Time 0.266 (0.239)	Data 0.215 (0.176)	Loss 2.6901 (2.5124)	Prec@1 34.375 (38.970)	Prec@5 66.016 (68.822)
Epoch: [84][7010/7045]	Time 0.466 (0.239)	Data 0.415 (0.176)	Loss 2.6139 (2.5125)	Prec@1 38.672 (38.970)	Prec@5 68.359 (68.822)
Epoch: [84][7020/7045]	Time 0.166 (0.239)	Data 0.114 (0.176)	Loss 2.5985 (2.5125)	Prec@1 35.547 (38.970)	Prec@5 66.797 (68.821)
Epoch: [84][7030/7045]	Time 0.518 (0.239)	Data 0.466 (0.176)	Loss 2.6126 (2.5125)	Prec@1 39.062 (38.969)	Prec@5 68.359 (68.821)
Epoch: [84][7040/7045]	Time 0.156 (0.239)	Data 0.100 (0.176)	Loss 2.5354 (2.5125)	Prec@1 39.453 (38.967)	Prec@5 70.312 (68.823)
Test: [0/143]	Time 1.348 (1.348)	Loss 2.1690 (2.1690)	Prec@1 46.875 (46.875)	Prec@5 75.000 (75.000)
Test: [10/143]	Time 0.048 (0.249)	Loss 1.6132 (2.0014)	Prec@1 61.719 (49.609)	Prec@5 83.203 (78.835)
Test: [20/143]	Time 0.336 (0.219)	Loss 2.0631 (1.9615)	Prec@1 50.000 (49.237)	Prec@5 81.250 (80.078)
Test: [30/143]	Time 0.055 (0.198)	Loss 2.1927 (1.9999)	Prec@1 48.438 (49.068)	Prec@5 71.484 (79.007)
Test: [40/143]	Time 0.291 (0.196)	Loss 2.5308 (2.0333)	Prec@1 30.859 (48.361)	Prec@5 71.484 (78.192)
Test: [50/143]	Time 0.167 (0.190)	Loss 1.9219 (2.0825)	Prec@1 46.484 (46.791)	Prec@5 81.250 (77.734)
Test: [60/143]	Time 0.111 (0.187)	Loss 2.4188 (2.0680)	Prec@1 33.984 (46.939)	Prec@5 73.828 (78.048)
Test: [70/143]	Time 0.137 (0.184)	Loss 2.9242 (2.0590)	Prec@1 27.734 (47.244)	Prec@5 61.719 (78.219)
Test: [80/143]	Time 0.154 (0.184)	Loss 1.8565 (2.0516)	Prec@1 53.516 (47.270)	Prec@5 83.203 (78.472)
Test: [90/143]	Time 0.364 (0.184)	Loss 1.6321 (2.0446)	Prec@1 57.031 (47.382)	Prec@5 88.281 (78.567)
Test: [100/143]	Time 0.050 (0.182)	Loss 1.9266 (2.0456)	Prec@1 53.516 (47.289)	Prec@5 83.984 (78.663)
Test: [110/143]	Time 0.204 (0.180)	Loss 1.8171 (2.0421)	Prec@1 53.906 (47.565)	Prec@5 81.250 (78.727)
Test: [120/143]	Time 0.187 (0.180)	Loss 1.7008 (2.0341)	Prec@1 57.812 (47.869)	Prec@5 86.328 (78.777)
Test: [130/143]	Time 0.049 (0.180)	Loss 1.5079 (2.0405)	Prec@1 65.234 (47.826)	Prec@5 82.812 (78.569)
Test: [140/143]	Time 0.048 (0.179)	Loss 3.0815 (2.0631)	Prec@1 26.172 (47.324)	Prec@5 62.891 (78.158)
 * Prec@1 47.334 Prec@5 78.184
Epoch: [85][0/7045]	Time 2.944 (2.944)	Data 2.887 (2.887)	Loss 2.5445 (2.5445)	Prec@1 39.453 (39.453)	Prec@5 66.406 (66.406)
Epoch: [85][10/7045]	Time 0.131 (0.435)	Data 0.080 (0.369)	Loss 2.3004 (2.5115)	Prec@1 40.625 (38.672)	Prec@5 72.266 (68.075)
Epoch: [85][20/7045]	Time 0.262 (0.352)	Data 0.210 (0.293)	Loss 2.2837 (2.4844)	Prec@1 44.141 (39.081)	Prec@5 72.656 (68.973)
Epoch: [85][30/7045]	Time 0.110 (0.324)	Data 0.001 (0.261)	Loss 2.4709 (2.4786)	Prec@1 35.938 (39.264)	Prec@5 69.531 (69.204)
Epoch: [85][40/7045]	Time 0.262 (0.301)	Data 0.212 (0.239)	Loss 2.3016 (2.4694)	Prec@1 39.062 (39.320)	Prec@5 72.656 (69.493)
Epoch: [85][50/7045]	Time 0.107 (0.294)	Data 0.005 (0.232)	Loss 2.5818 (2.4691)	Prec@1 34.766 (39.285)	Prec@5 67.578 (69.347)
Epoch: [85][60/7045]	Time 0.183 (0.283)	Data 0.132 (0.220)	Loss 2.7316 (2.4779)	Prec@1 38.281 (39.357)	Prec@5 64.453 (69.282)
Epoch: [85][70/7045]	Time 0.105 (0.279)	Data 0.053 (0.217)	Loss 2.5086 (2.4818)	Prec@1 36.719 (39.382)	Prec@5 70.312 (69.245)
Epoch: [85][80/7045]	Time 0.102 (0.273)	Data 0.003 (0.212)	Loss 2.5675 (2.4852)	Prec@1 35.938 (39.366)	Prec@5 65.234 (69.078)
Epoch: [85][90/7045]	Time 0.228 (0.272)	Data 0.176 (0.211)	Loss 2.5782 (2.4854)	Prec@1 39.453 (39.384)	Prec@5 63.281 (69.012)
Epoch: [85][100/7045]	Time 0.101 (0.267)	Data 0.002 (0.205)	Loss 2.4183 (2.4889)	Prec@1 41.797 (39.295)	Prec@5 69.531 (69.075)
Epoch: [85][110/7045]	Time 0.316 (0.267)	Data 0.264 (0.205)	Loss 2.2817 (2.4880)	Prec@1 39.453 (39.330)	Prec@5 76.562 (69.162)
Epoch: [85][120/7045]	Time 0.102 (0.263)	Data 0.001 (0.201)	Loss 2.5124 (2.4843)	Prec@1 38.672 (39.353)	Prec@5 68.750 (69.325)
Epoch: [85][130/7045]	Time 0.327 (0.263)	Data 0.276 (0.201)	Loss 2.6431 (2.4841)	Prec@1 33.203 (39.322)	Prec@5 67.969 (69.376)
Epoch: [85][140/7045]	Time 0.102 (0.260)	Data 0.001 (0.196)	Loss 2.3837 (2.4845)	Prec@1 40.625 (39.276)	Prec@5 70.312 (69.373)
Epoch: [85][150/7045]	Time 0.272 (0.260)	Data 0.220 (0.197)	Loss 2.4523 (2.4816)	Prec@1 38.672 (39.344)	Prec@5 70.703 (69.376)
Epoch: [85][160/7045]	Time 0.102 (0.258)	Data 0.001 (0.193)	Loss 2.6243 (2.4819)	Prec@1 41.797 (39.417)	Prec@5 64.844 (69.344)
Epoch: [85][170/7045]	Time 0.264 (0.258)	Data 0.213 (0.194)	Loss 2.4845 (2.4830)	Prec@1 44.141 (39.476)	Prec@5 67.969 (69.273)
Epoch: [85][180/7045]	Time 0.102 (0.255)	Data 0.001 (0.191)	Loss 2.4191 (2.4831)	Prec@1 41.406 (39.453)	Prec@5 66.797 (69.236)
Epoch: [85][190/7045]	Time 0.255 (0.256)	Data 0.196 (0.191)	Loss 2.3551 (2.4787)	Prec@1 40.625 (39.512)	Prec@5 70.703 (69.288)
Epoch: [85][200/7045]	Time 0.102 (0.254)	Data 0.005 (0.189)	Loss 2.7168 (2.4814)	Prec@1 32.031 (39.480)	Prec@5 67.969 (69.296)
Epoch: [85][210/7045]	Time 0.226 (0.254)	Data 0.173 (0.190)	Loss 2.4957 (2.4833)	Prec@1 43.359 (39.477)	Prec@5 70.312 (69.246)
Epoch: [85][220/7045]	Time 0.100 (0.253)	Data 0.006 (0.188)	Loss 2.3144 (2.4827)	Prec@1 43.359 (39.496)	Prec@5 69.141 (69.275)
Epoch: [85][230/7045]	Time 0.270 (0.253)	Data 0.218 (0.188)	Loss 2.6123 (2.4851)	Prec@1 37.500 (39.443)	Prec@5 69.141 (69.295)
Epoch: [85][240/7045]	Time 0.108 (0.252)	Data 0.055 (0.187)	Loss 2.5477 (2.4866)	Prec@1 40.234 (39.400)	Prec@5 68.359 (69.269)
Epoch: [85][250/7045]	Time 0.299 (0.252)	Data 0.246 (0.188)	Loss 2.5092 (2.4884)	Prec@1 39.062 (39.438)	Prec@5 67.969 (69.242)
Epoch: [85][260/7045]	Time 0.188 (0.251)	Data 0.136 (0.188)	Loss 2.5243 (2.4892)	Prec@1 36.719 (39.464)	Prec@5 69.531 (69.218)
Epoch: [85][270/7045]	Time 0.263 (0.251)	Data 0.211 (0.188)	Loss 2.4409 (2.4880)	Prec@1 42.969 (39.459)	Prec@5 68.359 (69.244)
Epoch: [85][280/7045]	Time 0.241 (0.250)	Data 0.187 (0.188)	Loss 2.6308 (2.4888)	Prec@1 38.281 (39.438)	Prec@5 65.234 (69.221)
Epoch: [85][290/7045]	Time 0.367 (0.250)	Data 0.307 (0.188)	Loss 2.4703 (2.4862)	Prec@1 38.281 (39.476)	Prec@5 73.047 (69.282)
Epoch: [85][300/7045]	Time 0.407 (0.250)	Data 0.348 (0.188)	Loss 2.3435 (2.4858)	Prec@1 44.531 (39.466)	Prec@5 72.656 (69.289)
Epoch: [85][310/7045]	Time 0.343 (0.250)	Data 0.284 (0.188)	Loss 2.3750 (2.4838)	Prec@1 41.797 (39.523)	Prec@5 69.922 (69.318)
Epoch: [85][320/7045]	Time 0.417 (0.249)	Data 0.357 (0.188)	Loss 2.4454 (2.4851)	Prec@1 44.141 (39.475)	Prec@5 67.969 (69.284)
Epoch: [85][330/7045]	Time 0.311 (0.249)	Data 0.252 (0.188)	Loss 2.3818 (2.4847)	Prec@1 44.141 (39.479)	Prec@5 70.312 (69.309)
Epoch: [85][340/7045]	Time 0.503 (0.249)	Data 0.451 (0.188)	Loss 2.3506 (2.4842)	Prec@1 39.062 (39.459)	Prec@5 72.266 (69.320)
Epoch: [85][350/7045]	Time 0.244 (0.248)	Data 0.193 (0.187)	Loss 2.2517 (2.4853)	Prec@1 45.312 (39.394)	Prec@5 72.266 (69.276)
Epoch: [85][360/7045]	Time 0.413 (0.248)	Data 0.362 (0.187)	Loss 2.4765 (2.4851)	Prec@1 42.188 (39.386)	Prec@5 66.797 (69.287)
Epoch: [85][370/7045]	Time 0.186 (0.248)	Data 0.133 (0.186)	Loss 2.4485 (2.4849)	Prec@1 41.016 (39.392)	Prec@5 71.484 (69.282)
Epoch: [85][380/7045]	Time 0.424 (0.248)	Data 0.372 (0.187)	Loss 2.3552 (2.4841)	Prec@1 40.625 (39.411)	Prec@5 71.484 (69.310)
Epoch: [85][390/7045]	Time 0.111 (0.247)	Data 0.059 (0.186)	Loss 2.4370 (2.4845)	Prec@1 42.188 (39.410)	Prec@5 69.922 (69.308)
Epoch: [85][400/7045]	Time 0.251 (0.247)	Data 0.199 (0.187)	Loss 2.6919 (2.4863)	Prec@1 37.109 (39.380)	Prec@5 66.016 (69.277)
Epoch: [85][410/7045]	Time 0.102 (0.247)	Data 0.003 (0.186)	Loss 2.3145 (2.4863)	Prec@1 44.531 (39.381)	Prec@5 75.781 (69.289)
Epoch: [85][420/7045]	Time 0.259 (0.247)	Data 0.207 (0.186)	Loss 2.5341 (2.4871)	Prec@1 39.062 (39.361)	Prec@5 69.141 (69.288)
Epoch: [85][430/7045]	Time 0.102 (0.246)	Data 0.005 (0.186)	Loss 2.4102 (2.4880)	Prec@1 37.500 (39.374)	Prec@5 69.922 (69.273)
Epoch: [85][440/7045]	Time 0.339 (0.247)	Data 0.280 (0.186)	Loss 2.5902 (2.4898)	Prec@1 39.453 (39.336)	Prec@5 67.578 (69.258)
Epoch: [85][450/7045]	Time 0.102 (0.246)	Data 0.001 (0.185)	Loss 2.5788 (2.4905)	Prec@1 37.891 (39.300)	Prec@5 67.578 (69.253)
Epoch: [85][460/7045]	Time 0.329 (0.247)	Data 0.271 (0.185)	Loss 2.3832 (2.4896)	Prec@1 44.922 (39.343)	Prec@5 69.141 (69.249)
Epoch: [85][470/7045]	Time 0.102 (0.246)	Data 0.008 (0.184)	Loss 2.5918 (2.4898)	Prec@1 36.719 (39.337)	Prec@5 66.797 (69.242)
Epoch: [85][480/7045]	Time 0.309 (0.246)	Data 0.256 (0.185)	Loss 2.3899 (2.4884)	Prec@1 40.234 (39.356)	Prec@5 68.359 (69.261)
Epoch: [85][490/7045]	Time 0.142 (0.246)	Data 0.090 (0.184)	Loss 2.3706 (2.4882)	Prec@1 39.844 (39.360)	Prec@5 71.875 (69.261)
Epoch: [85][500/7045]	Time 0.254 (0.246)	Data 0.202 (0.185)	Loss 2.3950 (2.4885)	Prec@1 39.844 (39.356)	Prec@5 72.266 (69.263)
Epoch: [85][510/7045]	Time 0.125 (0.245)	Data 0.072 (0.184)	Loss 2.5781 (2.4883)	Prec@1 35.547 (39.332)	Prec@5 69.531 (69.272)
Epoch: [85][520/7045]	Time 0.252 (0.245)	Data 0.192 (0.185)	Loss 2.5537 (2.4887)	Prec@1 36.328 (39.300)	Prec@5 69.922 (69.269)
Epoch: [85][530/7045]	Time 0.171 (0.245)	Data 0.119 (0.185)	Loss 2.5453 (2.4904)	Prec@1 37.891 (39.271)	Prec@5 69.141 (69.235)
Epoch: [85][540/7045]	Time 0.407 (0.245)	Data 0.356 (0.185)	Loss 2.4988 (2.4910)	Prec@1 40.625 (39.259)	Prec@5 69.141 (69.238)
Epoch: [85][550/7045]	Time 0.101 (0.245)	Data 0.045 (0.184)	Loss 2.7278 (2.4919)	Prec@1 35.156 (39.257)	Prec@5 64.453 (69.231)
Epoch: [85][560/7045]	Time 0.220 (0.245)	Data 0.169 (0.185)	Loss 2.3116 (2.4910)	Prec@1 44.141 (39.276)	Prec@5 71.484 (69.252)
Epoch: [85][570/7045]	Time 0.103 (0.245)	Data 0.004 (0.184)	Loss 2.6324 (2.4909)	Prec@1 37.500 (39.254)	Prec@5 67.969 (69.280)
Epoch: [85][580/7045]	Time 0.240 (0.245)	Data 0.187 (0.184)	Loss 2.7285 (2.4913)	Prec@1 35.547 (39.231)	Prec@5 66.797 (69.276)
Epoch: [85][590/7045]	Time 0.103 (0.244)	Data 0.005 (0.184)	Loss 2.7179 (2.4915)	Prec@1 35.156 (39.225)	Prec@5 64.844 (69.262)
Epoch: [85][600/7045]	Time 0.225 (0.245)	Data 0.172 (0.184)	Loss 2.6314 (2.4918)	Prec@1 34.375 (39.220)	Prec@5 66.797 (69.249)
Epoch: [85][610/7045]	Time 0.102 (0.244)	Data 0.005 (0.183)	Loss 2.6919 (2.4928)	Prec@1 33.984 (39.218)	Prec@5 68.359 (69.237)
Epoch: [85][620/7045]	Time 0.193 (0.244)	Data 0.141 (0.184)	Loss 2.5364 (2.4936)	Prec@1 39.844 (39.218)	Prec@5 68.359 (69.218)
Epoch: [85][630/7045]	Time 0.102 (0.244)	Data 0.002 (0.183)	Loss 2.5416 (2.4946)	Prec@1 39.062 (39.201)	Prec@5 65.234 (69.204)
Epoch: [85][640/7045]	Time 0.235 (0.244)	Data 0.175 (0.183)	Loss 2.6250 (2.4950)	Prec@1 35.547 (39.195)	Prec@5 66.406 (69.187)
Epoch: [85][650/7045]	Time 0.107 (0.244)	Data 0.055 (0.183)	Loss 2.3988 (2.4944)	Prec@1 40.625 (39.199)	Prec@5 72.266 (69.193)
Epoch: [85][660/7045]	Time 0.220 (0.244)	Data 0.162 (0.183)	Loss 2.4723 (2.4948)	Prec@1 37.891 (39.198)	Prec@5 70.703 (69.185)
Epoch: [85][670/7045]	Time 0.163 (0.244)	Data 0.110 (0.183)	Loss 2.3568 (2.4942)	Prec@1 38.281 (39.205)	Prec@5 71.484 (69.187)
Epoch: [85][680/7045]	Time 0.220 (0.244)	Data 0.168 (0.183)	Loss 2.4422 (2.4941)	Prec@1 37.109 (39.188)	Prec@5 71.094 (69.200)
Epoch: [85][690/7045]	Time 0.183 (0.243)	Data 0.130 (0.183)	Loss 2.6090 (2.4943)	Prec@1 32.031 (39.169)	Prec@5 68.750 (69.212)
Epoch: [85][700/7045]	Time 0.101 (0.244)	Data 0.001 (0.183)	Loss 2.3675 (2.4951)	Prec@1 41.797 (39.153)	Prec@5 72.266 (69.200)
Epoch: [85][710/7045]	Time 0.138 (0.243)	Data 0.086 (0.183)	Loss 2.4173 (2.4954)	Prec@1 39.062 (39.162)	Prec@5 71.875 (69.182)
Epoch: [85][720/7045]	Time 0.109 (0.244)	Data 0.054 (0.183)	Loss 2.4072 (2.4951)	Prec@1 41.016 (39.152)	Prec@5 71.875 (69.199)
Epoch: [85][730/7045]	Time 0.172 (0.243)	Data 0.121 (0.182)	Loss 2.6789 (2.4962)	Prec@1 36.328 (39.140)	Prec@5 66.016 (69.175)
Epoch: [85][740/7045]	Time 0.207 (0.244)	Data 0.155 (0.183)	Loss 2.4767 (2.4972)	Prec@1 40.234 (39.122)	Prec@5 71.875 (69.166)
Epoch: [85][750/7045]	Time 0.270 (0.243)	Data 0.218 (0.182)	Loss 2.6691 (2.4973)	Prec@1 36.719 (39.126)	Prec@5 66.797 (69.156)
Epoch: [85][760/7045]	Time 0.133 (0.243)	Data 0.081 (0.182)	Loss 2.5263 (2.4973)	Prec@1 37.891 (39.131)	Prec@5 71.875 (69.149)
Epoch: [85][770/7045]	Time 0.331 (0.243)	Data 0.279 (0.182)	Loss 2.5838 (2.4971)	Prec@1 38.281 (39.134)	Prec@5 67.969 (69.159)
Epoch: [85][780/7045]	Time 0.126 (0.243)	Data 0.069 (0.182)	Loss 2.5231 (2.4971)	Prec@1 39.062 (39.142)	Prec@5 69.531 (69.155)
Epoch: [85][790/7045]	Time 0.315 (0.243)	Data 0.262 (0.182)	Loss 2.4399 (2.4974)	Prec@1 40.234 (39.150)	Prec@5 71.875 (69.151)
Epoch: [85][800/7045]	Time 0.101 (0.243)	Data 0.042 (0.182)	Loss 2.6432 (2.4972)	Prec@1 35.547 (39.161)	Prec@5 68.359 (69.148)
Epoch: [85][810/7045]	Time 0.491 (0.243)	Data 0.439 (0.182)	Loss 2.3732 (2.4965)	Prec@1 40.625 (39.183)	Prec@5 71.875 (69.164)
Epoch: [85][820/7045]	Time 0.102 (0.243)	Data 0.003 (0.182)	Loss 2.5619 (2.4960)	Prec@1 31.641 (39.184)	Prec@5 67.969 (69.172)
Epoch: [85][830/7045]	Time 0.406 (0.243)	Data 0.354 (0.182)	Loss 2.5967 (2.4959)	Prec@1 33.203 (39.188)	Prec@5 65.234 (69.177)
Epoch: [85][840/7045]	Time 0.102 (0.243)	Data 0.003 (0.181)	Loss 2.6356 (2.4961)	Prec@1 36.328 (39.199)	Prec@5 66.016 (69.173)
Epoch: [85][850/7045]	Time 0.373 (0.243)	Data 0.321 (0.182)	Loss 2.4386 (2.4965)	Prec@1 42.188 (39.202)	Prec@5 68.750 (69.164)
Epoch: [85][860/7045]	Time 0.099 (0.243)	Data 0.045 (0.181)	Loss 2.3454 (2.4971)	Prec@1 44.531 (39.185)	Prec@5 72.656 (69.154)
Epoch: [85][870/7045]	Time 0.259 (0.243)	Data 0.206 (0.182)	Loss 2.5460 (2.4976)	Prec@1 36.328 (39.169)	Prec@5 71.094 (69.141)
Epoch: [85][880/7045]	Time 0.108 (0.243)	Data 0.056 (0.181)	Loss 2.3878 (2.4975)	Prec@1 43.750 (39.177)	Prec@5 70.703 (69.147)
Epoch: [85][890/7045]	Time 0.207 (0.243)	Data 0.154 (0.182)	Loss 2.5180 (2.4982)	Prec@1 38.281 (39.176)	Prec@5 69.141 (69.141)
Epoch: [85][900/7045]	Time 0.198 (0.243)	Data 0.145 (0.182)	Loss 2.3711 (2.4984)	Prec@1 42.188 (39.177)	Prec@5 71.094 (69.127)
Epoch: [85][910/7045]	Time 0.307 (0.243)	Data 0.246 (0.182)	Loss 2.4115 (2.4979)	Prec@1 39.453 (39.184)	Prec@5 68.750 (69.138)
Epoch: [85][920/7045]	Time 0.148 (0.242)	Data 0.096 (0.182)	Loss 2.6583 (2.4984)	Prec@1 33.984 (39.181)	Prec@5 63.281 (69.133)
Epoch: [85][930/7045]	Time 0.287 (0.243)	Data 0.236 (0.182)	Loss 2.6004 (2.4986)	Prec@1 35.156 (39.186)	Prec@5 67.969 (69.135)
Epoch: [85][940/7045]	Time 0.110 (0.242)	Data 0.058 (0.181)	Loss 2.5666 (2.4992)	Prec@1 35.156 (39.178)	Prec@5 66.406 (69.131)
Epoch: [85][950/7045]	Time 0.272 (0.243)	Data 0.219 (0.182)	Loss 2.7345 (2.4989)	Prec@1 34.375 (39.188)	Prec@5 63.672 (69.132)
Epoch: [85][960/7045]	Time 0.205 (0.242)	Data 0.154 (0.181)	Loss 2.5513 (2.4994)	Prec@1 42.188 (39.186)	Prec@5 67.578 (69.120)
Epoch: [85][970/7045]	Time 0.285 (0.242)	Data 0.233 (0.181)	Loss 2.6336 (2.4999)	Prec@1 31.641 (39.173)	Prec@5 67.578 (69.124)
Epoch: [85][980/7045]	Time 0.146 (0.242)	Data 0.093 (0.181)	Loss 2.5707 (2.5002)	Prec@1 37.891 (39.169)	Prec@5 66.016 (69.114)
Epoch: [85][990/7045]	Time 0.224 (0.242)	Data 0.164 (0.181)	Loss 2.3809 (2.4996)	Prec@1 40.625 (39.176)	Prec@5 69.922 (69.125)
Epoch: [85][1000/7045]	Time 0.213 (0.242)	Data 0.161 (0.181)	Loss 2.2918 (2.4996)	Prec@1 41.016 (39.175)	Prec@5 70.703 (69.119)
Epoch: [85][1010/7045]	Time 0.165 (0.242)	Data 0.107 (0.181)	Loss 2.5840 (2.4997)	Prec@1 37.109 (39.158)	Prec@5 67.188 (69.126)
Epoch: [85][1020/7045]	Time 0.149 (0.242)	Data 0.096 (0.181)	Loss 2.5403 (2.4997)	Prec@1 37.500 (39.151)	Prec@5 67.188 (69.112)
Epoch: [85][1030/7045]	Time 0.156 (0.242)	Data 0.097 (0.181)	Loss 2.5321 (2.4998)	Prec@1 39.453 (39.144)	Prec@5 64.453 (69.105)
Epoch: [85][1040/7045]	Time 0.226 (0.242)	Data 0.174 (0.181)	Loss 2.5612 (2.4999)	Prec@1 35.938 (39.145)	Prec@5 69.531 (69.106)
Epoch: [85][1050/7045]	Time 0.192 (0.242)	Data 0.134 (0.181)	Loss 2.6133 (2.4997)	Prec@1 35.156 (39.144)	Prec@5 64.453 (69.110)
Epoch: [85][1060/7045]	Time 0.217 (0.242)	Data 0.166 (0.181)	Loss 2.6766 (2.5002)	Prec@1 41.797 (39.136)	Prec@5 69.141 (69.114)
Epoch: [85][1070/7045]	Time 0.175 (0.242)	Data 0.115 (0.181)	Loss 2.1874 (2.4995)	Prec@1 46.484 (39.157)	Prec@5 75.000 (69.134)
Epoch: [85][1080/7045]	Time 0.189 (0.242)	Data 0.137 (0.181)	Loss 2.4712 (2.4995)	Prec@1 36.719 (39.153)	Prec@5 69.141 (69.137)
Epoch: [85][1090/7045]	Time 0.223 (0.242)	Data 0.171 (0.181)	Loss 2.4608 (2.4998)	Prec@1 35.938 (39.139)	Prec@5 67.969 (69.130)
Epoch: [85][1100/7045]	Time 0.167 (0.242)	Data 0.115 (0.181)	Loss 2.3553 (2.4998)	Prec@1 44.922 (39.143)	Prec@5 68.359 (69.126)
Epoch: [85][1110/7045]	Time 0.160 (0.242)	Data 0.103 (0.181)	Loss 2.3571 (2.4998)	Prec@1 39.062 (39.138)	Prec@5 73.438 (69.124)
Epoch: [85][1120/7045]	Time 0.196 (0.242)	Data 0.145 (0.181)	Loss 2.5271 (2.4999)	Prec@1 35.938 (39.124)	Prec@5 69.141 (69.116)
Epoch: [85][1130/7045]	Time 0.161 (0.242)	Data 0.103 (0.181)	Loss 2.5188 (2.5000)	Prec@1 39.062 (39.117)	Prec@5 68.750 (69.116)
Epoch: [85][1140/7045]	Time 0.159 (0.242)	Data 0.107 (0.181)	Loss 2.6485 (2.5000)	Prec@1 34.375 (39.118)	Prec@5 64.062 (69.119)
Epoch: [85][1150/7045]	Time 0.200 (0.242)	Data 0.142 (0.181)	Loss 2.6346 (2.4993)	Prec@1 35.547 (39.122)	Prec@5 69.141 (69.128)
Epoch: [85][1160/7045]	Time 0.144 (0.242)	Data 0.092 (0.181)	Loss 2.5903 (2.4992)	Prec@1 36.719 (39.127)	Prec@5 66.016 (69.132)
Epoch: [85][1170/7045]	Time 0.157 (0.242)	Data 0.099 (0.181)	Loss 2.3870 (2.4992)	Prec@1 41.016 (39.125)	Prec@5 71.875 (69.131)
Epoch: [85][1180/7045]	Time 0.223 (0.242)	Data 0.171 (0.181)	Loss 2.5889 (2.4996)	Prec@1 39.844 (39.114)	Prec@5 68.750 (69.122)
Epoch: [85][1190/7045]	Time 0.110 (0.242)	Data 0.001 (0.182)	Loss 2.5335 (2.4999)	Prec@1 39.844 (39.110)	Prec@5 66.797 (69.113)
Epoch: [85][1200/7045]	Time 0.155 (0.242)	Data 0.102 (0.181)	Loss 2.4923 (2.5000)	Prec@1 40.625 (39.113)	Prec@5 69.922 (69.112)
Epoch: [85][1210/7045]	Time 0.108 (0.242)	Data 0.002 (0.181)	Loss 2.4243 (2.4994)	Prec@1 40.234 (39.120)	Prec@5 70.312 (69.131)
Epoch: [85][1220/7045]	Time 0.146 (0.241)	Data 0.094 (0.181)	Loss 2.4563 (2.4996)	Prec@1 41.016 (39.125)	Prec@5 70.312 (69.119)
Epoch: [85][1230/7045]	Time 0.109 (0.242)	Data 0.056 (0.181)	Loss 2.5829 (2.4996)	Prec@1 39.453 (39.119)	Prec@5 66.016 (69.120)
Epoch: [85][1240/7045]	Time 0.151 (0.241)	Data 0.098 (0.181)	Loss 2.6712 (2.4997)	Prec@1 35.938 (39.128)	Prec@5 62.109 (69.108)
Epoch: [85][1250/7045]	Time 0.102 (0.242)	Data 0.006 (0.181)	Loss 2.5528 (2.4997)	Prec@1 39.453 (39.130)	Prec@5 67.578 (69.107)
Epoch: [85][1260/7045]	Time 0.103 (0.241)	Data 0.005 (0.181)	Loss 2.3948 (2.5002)	Prec@1 41.406 (39.131)	Prec@5 70.703 (69.103)
Epoch: [85][1270/7045]	Time 0.108 (0.242)	Data 0.002 (0.181)	Loss 2.3519 (2.4996)	Prec@1 42.969 (39.137)	Prec@5 72.266 (69.110)
Epoch: [85][1280/7045]	Time 0.138 (0.241)	Data 0.086 (0.181)	Loss 2.5122 (2.5002)	Prec@1 38.281 (39.127)	Prec@5 66.016 (69.099)
Epoch: [85][1290/7045]	Time 0.102 (0.241)	Data 0.003 (0.181)	Loss 2.2520 (2.4994)	Prec@1 39.062 (39.135)	Prec@5 73.047 (69.105)
Epoch: [85][1300/7045]	Time 0.195 (0.241)	Data 0.143 (0.181)	Loss 2.4361 (2.4991)	Prec@1 38.672 (39.144)	Prec@5 71.484 (69.115)
Epoch: [85][1310/7045]	Time 0.102 (0.241)	Data 0.005 (0.181)	Loss 2.4167 (2.4983)	Prec@1 39.062 (39.157)	Prec@5 70.703 (69.128)
Epoch: [85][1320/7045]	Time 0.130 (0.241)	Data 0.078 (0.181)	Loss 2.4197 (2.4981)	Prec@1 42.188 (39.168)	Prec@5 69.922 (69.129)
Epoch: [85][1330/7045]	Time 0.149 (0.241)	Data 0.096 (0.181)	Loss 2.3877 (2.4978)	Prec@1 41.016 (39.175)	Prec@5 71.875 (69.137)
Epoch: [85][1340/7045]	Time 0.264 (0.241)	Data 0.212 (0.181)	Loss 2.3163 (2.4976)	Prec@1 42.969 (39.178)	Prec@5 71.875 (69.140)
Epoch: [85][1350/7045]	Time 0.159 (0.241)	Data 0.108 (0.181)	Loss 2.5296 (2.4974)	Prec@1 41.016 (39.186)	Prec@5 71.484 (69.151)
Epoch: [85][1360/7045]	Time 0.219 (0.241)	Data 0.167 (0.181)	Loss 2.5203 (2.4981)	Prec@1 39.844 (39.179)	Prec@5 67.578 (69.132)
Epoch: [85][1370/7045]	Time 0.156 (0.241)	Data 0.103 (0.181)	Loss 2.5211 (2.4981)	Prec@1 39.844 (39.187)	Prec@5 67.969 (69.131)
Epoch: [85][1380/7045]	Time 0.206 (0.241)	Data 0.154 (0.181)	Loss 2.5394 (2.4979)	Prec@1 39.453 (39.193)	Prec@5 68.359 (69.132)
Epoch: [85][1390/7045]	Time 0.151 (0.241)	Data 0.099 (0.181)	Loss 2.7477 (2.4983)	Prec@1 34.375 (39.196)	Prec@5 64.844 (69.124)
Epoch: [85][1400/7045]	Time 0.243 (0.241)	Data 0.191 (0.181)	Loss 2.5224 (2.4985)	Prec@1 39.062 (39.191)	Prec@5 71.484 (69.126)
Epoch: [85][1410/7045]	Time 0.153 (0.241)	Data 0.101 (0.181)	Loss 2.6053 (2.4986)	Prec@1 33.594 (39.184)	Prec@5 67.578 (69.124)
Epoch: [85][1420/7045]	Time 0.210 (0.241)	Data 0.159 (0.181)	Loss 2.6572 (2.4987)	Prec@1 39.453 (39.183)	Prec@5 62.891 (69.119)
Epoch: [85][1430/7045]	Time 0.109 (0.241)	Data 0.055 (0.181)	Loss 2.9780 (2.4990)	Prec@1 29.297 (39.176)	Prec@5 57.422 (69.113)
Epoch: [85][1440/7045]	Time 0.197 (0.241)	Data 0.145 (0.181)	Loss 2.5343 (2.4990)	Prec@1 40.625 (39.176)	Prec@5 66.016 (69.111)
Epoch: [85][1450/7045]	Time 0.109 (0.241)	Data 0.057 (0.181)	Loss 2.4532 (2.4991)	Prec@1 39.844 (39.170)	Prec@5 70.703 (69.108)
Epoch: [85][1460/7045]	Time 0.213 (0.241)	Data 0.162 (0.181)	Loss 2.6082 (2.4995)	Prec@1 38.672 (39.162)	Prec@5 67.969 (69.100)
Epoch: [85][1470/7045]	Time 0.103 (0.241)	Data 0.006 (0.181)	Loss 2.4842 (2.4993)	Prec@1 39.453 (39.159)	Prec@5 67.969 (69.107)
Epoch: [85][1480/7045]	Time 0.314 (0.241)	Data 0.261 (0.181)	Loss 2.4063 (2.4991)	Prec@1 42.578 (39.165)	Prec@5 72.266 (69.114)
Epoch: [85][1490/7045]	Time 0.102 (0.241)	Data 0.006 (0.181)	Loss 2.4548 (2.4988)	Prec@1 41.406 (39.175)	Prec@5 70.312 (69.112)
Epoch: [85][1500/7045]	Time 0.223 (0.241)	Data 0.172 (0.181)	Loss 2.5057 (2.4991)	Prec@1 36.719 (39.162)	Prec@5 68.750 (69.108)
Epoch: [85][1510/7045]	Time 0.101 (0.241)	Data 0.003 (0.181)	Loss 2.5683 (2.4991)	Prec@1 37.500 (39.164)	Prec@5 70.312 (69.111)
Epoch: [85][1520/7045]	Time 0.221 (0.241)	Data 0.168 (0.181)	Loss 2.6899 (2.4990)	Prec@1 35.156 (39.163)	Prec@5 66.016 (69.115)
Epoch: [85][1530/7045]	Time 0.103 (0.241)	Data 0.006 (0.181)	Loss 2.5428 (2.4983)	Prec@1 39.844 (39.165)	Prec@5 66.797 (69.128)
Epoch: [85][1540/7045]	Time 0.225 (0.241)	Data 0.172 (0.181)	Loss 2.4184 (2.4983)	Prec@1 43.359 (39.159)	Prec@5 71.875 (69.132)
Epoch: [85][1550/7045]	Time 0.103 (0.241)	Data 0.001 (0.181)	Loss 2.2481 (2.4984)	Prec@1 43.359 (39.160)	Prec@5 73.438 (69.134)
Epoch: [85][1560/7045]	Time 0.171 (0.241)	Data 0.119 (0.181)	Loss 2.6663 (2.4986)	Prec@1 37.109 (39.160)	Prec@5 64.844 (69.129)
Epoch: [85][1570/7045]	Time 0.103 (0.241)	Data 0.049 (0.181)	Loss 2.4387 (2.4988)	Prec@1 38.281 (39.148)	Prec@5 77.344 (69.128)
Epoch: [85][1580/7045]	Time 0.176 (0.241)	Data 0.124 (0.181)	Loss 2.6897 (2.4991)	Prec@1 37.891 (39.141)	Prec@5 66.016 (69.122)
Epoch: [85][1590/7045]	Time 0.148 (0.241)	Data 0.096 (0.181)	Loss 2.7404 (2.4992)	Prec@1 32.422 (39.141)	Prec@5 62.891 (69.118)
Epoch: [85][1600/7045]	Time 0.137 (0.241)	Data 0.084 (0.181)	Loss 2.5525 (2.4992)	Prec@1 38.281 (39.138)	Prec@5 65.625 (69.120)
Epoch: [85][1610/7045]	Time 0.234 (0.241)	Data 0.181 (0.181)	Loss 2.4509 (2.4995)	Prec@1 41.406 (39.140)	Prec@5 68.750 (69.106)
Epoch: [85][1620/7045]	Time 0.101 (0.241)	Data 0.003 (0.181)	Loss 2.6103 (2.4996)	Prec@1 36.328 (39.141)	Prec@5 68.750 (69.104)
Epoch: [85][1630/7045]	Time 0.241 (0.241)	Data 0.189 (0.181)	Loss 2.5026 (2.4996)	Prec@1 37.891 (39.138)	Prec@5 70.312 (69.104)
Epoch: [85][1640/7045]	Time 0.105 (0.241)	Data 0.052 (0.181)	Loss 2.4157 (2.4995)	Prec@1 42.188 (39.139)	Prec@5 69.531 (69.106)
Epoch: [85][1650/7045]	Time 0.262 (0.241)	Data 0.210 (0.181)	Loss 2.4470 (2.4992)	Prec@1 40.234 (39.149)	Prec@5 68.359 (69.110)
Epoch: [85][1660/7045]	Time 0.184 (0.241)	Data 0.132 (0.181)	Loss 2.4923 (2.4993)	Prec@1 41.797 (39.145)	Prec@5 69.141 (69.112)
Epoch: [85][1670/7045]	Time 0.481 (0.241)	Data 0.429 (0.181)	Loss 2.4459 (2.4992)	Prec@1 41.797 (39.150)	Prec@5 68.750 (69.119)
Epoch: [85][1680/7045]	Time 0.105 (0.241)	Data 0.053 (0.181)	Loss 2.5544 (2.4993)	Prec@1 37.500 (39.142)	Prec@5 65.625 (69.119)
Epoch: [85][1690/7045]	Time 0.421 (0.241)	Data 0.368 (0.181)	Loss 2.7903 (2.4999)	Prec@1 32.812 (39.132)	Prec@5 64.062 (69.110)
Epoch: [85][1700/7045]	Time 0.105 (0.241)	Data 0.052 (0.181)	Loss 2.2899 (2.4998)	Prec@1 44.922 (39.136)	Prec@5 71.484 (69.111)
Epoch: [85][1710/7045]	Time 0.385 (0.241)	Data 0.333 (0.181)	Loss 2.5275 (2.4998)	Prec@1 38.281 (39.131)	Prec@5 69.922 (69.110)
Epoch: [85][1720/7045]	Time 0.102 (0.241)	Data 0.002 (0.181)	Loss 2.5303 (2.4999)	Prec@1 39.062 (39.126)	Prec@5 68.359 (69.112)
Epoch: [85][1730/7045]	Time 0.357 (0.241)	Data 0.304 (0.181)	Loss 2.4459 (2.4994)	Prec@1 39.844 (39.133)	Prec@5 70.312 (69.118)
Epoch: [85][1740/7045]	Time 0.101 (0.241)	Data 0.001 (0.181)	Loss 2.5976 (2.4996)	Prec@1 37.500 (39.139)	Prec@5 68.750 (69.112)
Epoch: [85][1750/7045]	Time 0.516 (0.241)	Data 0.459 (0.181)	Loss 2.3502 (2.4999)	Prec@1 43.359 (39.131)	Prec@5 69.922 (69.109)
Epoch: [85][1760/7045]	Time 0.112 (0.241)	Data 0.060 (0.181)	Loss 2.4624 (2.4994)	Prec@1 37.891 (39.139)	Prec@5 68.359 (69.119)
Epoch: [85][1770/7045]	Time 0.583 (0.241)	Data 0.531 (0.181)	Loss 2.5397 (2.4996)	Prec@1 35.547 (39.134)	Prec@5 69.922 (69.116)
Epoch: [85][1780/7045]	Time 0.102 (0.241)	Data 0.050 (0.180)	Loss 2.5164 (2.4995)	Prec@1 41.406 (39.135)	Prec@5 68.750 (69.117)
Epoch: [85][1790/7045]	Time 0.558 (0.241)	Data 0.507 (0.181)	Loss 2.5482 (2.4995)	Prec@1 35.938 (39.135)	Prec@5 67.578 (69.114)
Epoch: [85][1800/7045]	Time 0.102 (0.241)	Data 0.050 (0.180)	Loss 2.4227 (2.4994)	Prec@1 36.328 (39.136)	Prec@5 69.531 (69.120)
Epoch: [85][1810/7045]	Time 0.552 (0.241)	Data 0.499 (0.181)	Loss 2.4663 (2.4993)	Prec@1 37.500 (39.137)	Prec@5 69.531 (69.119)
Epoch: [85][1820/7045]	Time 0.106 (0.241)	Data 0.054 (0.180)	Loss 2.4677 (2.4993)	Prec@1 41.016 (39.141)	Prec@5 67.578 (69.122)
Epoch: [85][1830/7045]	Time 0.600 (0.241)	Data 0.542 (0.180)	Loss 2.5425 (2.4993)	Prec@1 33.594 (39.140)	Prec@5 69.922 (69.122)
Epoch: [85][1840/7045]	Time 0.102 (0.241)	Data 0.007 (0.180)	Loss 2.4992 (2.4994)	Prec@1 40.234 (39.139)	Prec@5 69.531 (69.124)
Epoch: [85][1850/7045]	Time 0.633 (0.241)	Data 0.580 (0.180)	Loss 2.6041 (2.4994)	Prec@1 36.719 (39.134)	Prec@5 69.531 (69.125)
Epoch: [85][1860/7045]	Time 0.102 (0.241)	Data 0.001 (0.180)	Loss 2.4907 (2.4997)	Prec@1 40.234 (39.131)	Prec@5 69.141 (69.119)
Epoch: [85][1870/7045]	Time 0.571 (0.241)	Data 0.520 (0.180)	Loss 2.4143 (2.4999)	Prec@1 42.188 (39.133)	Prec@5 69.141 (69.118)
Epoch: [85][1880/7045]	Time 0.110 (0.241)	Data 0.001 (0.180)	Loss 2.3768 (2.4995)	Prec@1 43.359 (39.136)	Prec@5 69.531 (69.129)
Epoch: [85][1890/7045]	Time 0.619 (0.241)	Data 0.565 (0.180)	Loss 2.4664 (2.4994)	Prec@1 36.719 (39.134)	Prec@5 70.312 (69.131)
Epoch: [85][1900/7045]	Time 0.102 (0.241)	Data 0.001 (0.180)	Loss 2.4398 (2.4994)	Prec@1 38.672 (39.137)	Prec@5 70.703 (69.132)
Epoch: [85][1910/7045]	Time 0.464 (0.241)	Data 0.412 (0.180)	Loss 2.7056 (2.4995)	Prec@1 34.375 (39.130)	Prec@5 66.406 (69.134)
Epoch: [85][1920/7045]	Time 0.102 (0.240)	Data 0.048 (0.179)	Loss 2.4567 (2.4995)	Prec@1 39.062 (39.132)	Prec@5 69.531 (69.132)
Epoch: [85][1930/7045]	Time 0.477 (0.241)	Data 0.426 (0.180)	Loss 2.3715 (2.4996)	Prec@1 41.016 (39.133)	Prec@5 72.656 (69.138)
Epoch: [85][1940/7045]	Time 0.111 (0.240)	Data 0.059 (0.179)	Loss 2.5227 (2.4996)	Prec@1 37.891 (39.131)	Prec@5 67.969 (69.137)
Epoch: [85][1950/7045]	Time 0.373 (0.241)	Data 0.314 (0.180)	Loss 2.5078 (2.4996)	Prec@1 37.500 (39.130)	Prec@5 69.922 (69.140)
Epoch: [85][1960/7045]	Time 0.108 (0.240)	Data 0.054 (0.179)	Loss 2.4611 (2.4994)	Prec@1 39.062 (39.135)	Prec@5 69.922 (69.139)
Epoch: [85][1970/7045]	Time 0.320 (0.241)	Data 0.260 (0.179)	Loss 2.5403 (2.4992)	Prec@1 35.156 (39.138)	Prec@5 68.359 (69.138)
Epoch: [85][1980/7045]	Time 0.103 (0.240)	Data 0.047 (0.179)	Loss 2.8433 (2.4992)	Prec@1 33.984 (39.140)	Prec@5 63.281 (69.138)
Epoch: [85][1990/7045]	Time 0.287 (0.240)	Data 0.236 (0.180)	Loss 2.6642 (2.4992)	Prec@1 33.984 (39.137)	Prec@5 64.453 (69.138)
Epoch: [85][2000/7045]	Time 0.170 (0.240)	Data 0.119 (0.179)	Loss 2.3467 (2.4990)	Prec@1 41.016 (39.144)	Prec@5 69.922 (69.136)
Epoch: [85][2010/7045]	Time 0.367 (0.240)	Data 0.310 (0.180)	Loss 2.4712 (2.4991)	Prec@1 39.453 (39.138)	Prec@5 69.531 (69.133)
Epoch: [85][2020/7045]	Time 0.164 (0.240)	Data 0.112 (0.180)	Loss 2.2342 (2.4991)	Prec@1 45.703 (39.135)	Prec@5 74.219 (69.133)
Epoch: [85][2030/7045]	Time 0.286 (0.240)	Data 0.234 (0.180)	Loss 2.6147 (2.4993)	Prec@1 37.500 (39.131)	Prec@5 67.188 (69.127)
Epoch: [85][2040/7045]	Time 0.106 (0.240)	Data 0.053 (0.180)	Loss 2.7493 (2.4992)	Prec@1 33.984 (39.139)	Prec@5 63.672 (69.130)
Epoch: [85][2050/7045]	Time 0.255 (0.240)	Data 0.203 (0.180)	Loss 2.0821 (2.4988)	Prec@1 46.875 (39.149)	Prec@5 77.344 (69.137)
Epoch: [85][2060/7045]	Time 0.103 (0.240)	Data 0.049 (0.180)	Loss 2.3771 (2.4986)	Prec@1 41.406 (39.154)	Prec@5 71.484 (69.139)
Epoch: [85][2070/7045]	Time 0.263 (0.240)	Data 0.212 (0.180)	Loss 2.7203 (2.4987)	Prec@1 33.594 (39.150)	Prec@5 62.500 (69.137)
Epoch: [85][2080/7045]	Time 0.103 (0.240)	Data 0.003 (0.180)	Loss 2.6969 (2.4988)	Prec@1 34.375 (39.153)	Prec@5 63.672 (69.139)
Epoch: [85][2090/7045]	Time 0.194 (0.240)	Data 0.141 (0.180)	Loss 2.5561 (2.4985)	Prec@1 38.281 (39.157)	Prec@5 69.531 (69.146)
Epoch: [85][2100/7045]	Time 0.142 (0.240)	Data 0.091 (0.180)	Loss 2.2767 (2.4984)	Prec@1 37.500 (39.157)	Prec@5 74.609 (69.149)
Epoch: [85][2110/7045]	Time 0.102 (0.240)	Data 0.049 (0.180)	Loss 2.4313 (2.4985)	Prec@1 40.625 (39.152)	Prec@5 74.219 (69.148)
Epoch: [85][2120/7045]	Time 0.181 (0.240)	Data 0.129 (0.180)	Loss 2.3648 (2.4985)	Prec@1 44.531 (39.155)	Prec@5 70.703 (69.150)
Epoch: [85][2130/7045]	Time 0.157 (0.240)	Data 0.104 (0.180)	Loss 2.5729 (2.4987)	Prec@1 38.672 (39.151)	Prec@5 65.625 (69.142)
Epoch: [85][2140/7045]	Time 0.213 (0.240)	Data 0.162 (0.180)	Loss 2.5568 (2.4988)	Prec@1 39.844 (39.149)	Prec@5 67.969 (69.140)
Epoch: [85][2150/7045]	Time 0.377 (0.240)	Data 0.320 (0.180)	Loss 2.3374 (2.4991)	Prec@1 42.969 (39.148)	Prec@5 70.703 (69.130)
Epoch: [85][2160/7045]	Time 0.242 (0.240)	Data 0.189 (0.180)	Loss 2.4399 (2.4992)	Prec@1 39.844 (39.145)	Prec@5 71.875 (69.132)
Epoch: [85][2170/7045]	Time 0.419 (0.240)	Data 0.367 (0.180)	Loss 2.4269 (2.4993)	Prec@1 41.016 (39.137)	Prec@5 70.312 (69.128)
Epoch: [85][2180/7045]	Time 0.178 (0.240)	Data 0.128 (0.180)	Loss 2.6492 (2.4995)	Prec@1 38.672 (39.138)	Prec@5 67.969 (69.119)
Epoch: [85][2190/7045]	Time 0.478 (0.240)	Data 0.425 (0.180)	Loss 2.5306 (2.4997)	Prec@1 41.797 (39.137)	Prec@5 70.703 (69.114)
Epoch: [85][2200/7045]	Time 0.190 (0.240)	Data 0.138 (0.180)	Loss 2.5089 (2.4999)	Prec@1 37.891 (39.133)	Prec@5 69.141 (69.112)
Epoch: [85][2210/7045]	Time 0.493 (0.240)	Data 0.434 (0.180)	Loss 2.3480 (2.5000)	Prec@1 44.141 (39.131)	Prec@5 71.875 (69.112)
Epoch: [85][2220/7045]	Time 0.166 (0.240)	Data 0.115 (0.180)	Loss 2.5599 (2.5001)	Prec@1 39.844 (39.128)	Prec@5 67.969 (69.105)
Epoch: [85][2230/7045]	Time 0.473 (0.240)	Data 0.415 (0.180)	Loss 2.7296 (2.5002)	Prec@1 37.500 (39.130)	Prec@5 65.625 (69.106)
Epoch: [85][2240/7045]	Time 0.123 (0.240)	Data 0.071 (0.180)	Loss 2.3621 (2.4997)	Prec@1 42.188 (39.135)	Prec@5 71.875 (69.116)
Epoch: [85][2250/7045]	Time 0.525 (0.240)	Data 0.474 (0.180)	Loss 2.7708 (2.4998)	Prec@1 32.031 (39.133)	Prec@5 58.203 (69.109)
Epoch: [85][2260/7045]	Time 0.144 (0.240)	Data 0.087 (0.180)	Loss 2.7001 (2.4998)	Prec@1 35.938 (39.137)	Prec@5 63.672 (69.106)
Epoch: [85][2270/7045]	Time 0.521 (0.240)	Data 0.468 (0.180)	Loss 2.4596 (2.4997)	Prec@1 41.797 (39.137)	Prec@5 67.188 (69.102)
Epoch: [85][2280/7045]	Time 0.169 (0.240)	Data 0.117 (0.180)	Loss 2.4559 (2.5000)	Prec@1 42.188 (39.134)	Prec@5 69.141 (69.096)
Epoch: [85][2290/7045]	Time 0.635 (0.240)	Data 0.583 (0.180)	Loss 2.5199 (2.5001)	Prec@1 40.234 (39.128)	Prec@5 69.141 (69.095)
Epoch: [85][2300/7045]	Time 0.118 (0.240)	Data 0.059 (0.180)	Loss 2.5880 (2.5006)	Prec@1 33.984 (39.116)	Prec@5 64.062 (69.084)
Epoch: [85][2310/7045]	Time 0.602 (0.240)	Data 0.544 (0.180)	Loss 2.3006 (2.5004)	Prec@1 42.578 (39.115)	Prec@5 73.438 (69.088)
Epoch: [85][2320/7045]	Time 0.120 (0.240)	Data 0.060 (0.180)	Loss 2.5520 (2.5011)	Prec@1 38.672 (39.103)	Prec@5 69.531 (69.072)
Epoch: [85][2330/7045]	Time 0.600 (0.240)	Data 0.541 (0.180)	Loss 2.4613 (2.5011)	Prec@1 36.719 (39.101)	Prec@5 71.484 (69.069)
Epoch: [85][2340/7045]	Time 0.111 (0.240)	Data 0.059 (0.180)	Loss 2.6858 (2.5010)	Prec@1 36.328 (39.104)	Prec@5 69.922 (69.073)
Epoch: [85][2350/7045]	Time 0.566 (0.240)	Data 0.515 (0.180)	Loss 2.4418 (2.5011)	Prec@1 40.234 (39.108)	Prec@5 70.312 (69.068)
Epoch: [85][2360/7045]	Time 0.110 (0.240)	Data 0.058 (0.180)	Loss 2.5737 (2.5011)	Prec@1 37.500 (39.110)	Prec@5 68.750 (69.068)
Epoch: [85][2370/7045]	Time 0.565 (0.240)	Data 0.513 (0.180)	Loss 2.5750 (2.5013)	Prec@1 32.812 (39.100)	Prec@5 61.719 (69.065)
Epoch: [85][2380/7045]	Time 0.108 (0.240)	Data 0.007 (0.180)	Loss 2.8024 (2.5014)	Prec@1 33.984 (39.096)	Prec@5 63.281 (69.064)
Epoch: [85][2390/7045]	Time 0.513 (0.240)	Data 0.463 (0.180)	Loss 2.4751 (2.5014)	Prec@1 40.625 (39.101)	Prec@5 71.484 (69.066)
Epoch: [85][2400/7045]	Time 0.108 (0.240)	Data 0.055 (0.179)	Loss 2.5551 (2.5016)	Prec@1 37.500 (39.098)	Prec@5 67.578 (69.062)
Epoch: [85][2410/7045]	Time 0.457 (0.240)	Data 0.406 (0.180)	Loss 2.4875 (2.5016)	Prec@1 39.062 (39.097)	Prec@5 66.016 (69.057)
Epoch: [85][2420/7045]	Time 0.108 (0.240)	Data 0.055 (0.180)	Loss 2.4718 (2.5015)	Prec@1 41.016 (39.104)	Prec@5 65.234 (69.056)
Epoch: [85][2430/7045]	Time 0.449 (0.240)	Data 0.397 (0.180)	Loss 2.7863 (2.5015)	Prec@1 33.203 (39.107)	Prec@5 63.672 (69.056)
Epoch: [85][2440/7045]	Time 0.109 (0.240)	Data 0.005 (0.180)	Loss 2.5134 (2.5014)	Prec@1 34.766 (39.104)	Prec@5 70.312 (69.060)
Epoch: [85][2450/7045]	Time 0.360 (0.240)	Data 0.309 (0.179)	Loss 2.4191 (2.5016)	Prec@1 43.750 (39.101)	Prec@5 72.656 (69.056)
Epoch: [85][2460/7045]	Time 0.108 (0.240)	Data 0.006 (0.179)	Loss 2.4789 (2.5018)	Prec@1 40.234 (39.095)	Prec@5 71.484 (69.054)
Epoch: [85][2470/7045]	Time 0.376 (0.240)	Data 0.324 (0.179)	Loss 2.6776 (2.5020)	Prec@1 35.938 (39.090)	Prec@5 65.234 (69.048)
Epoch: [85][2480/7045]	Time 0.102 (0.240)	Data 0.004 (0.179)	Loss 2.6158 (2.5020)	Prec@1 35.156 (39.088)	Prec@5 66.016 (69.046)
Epoch: [85][2490/7045]	Time 0.371 (0.240)	Data 0.320 (0.179)	Loss 2.5037 (2.5021)	Prec@1 37.891 (39.088)	Prec@5 73.438 (69.043)
Epoch: [85][2500/7045]	Time 0.102 (0.240)	Data 0.006 (0.179)	Loss 2.7020 (2.5020)	Prec@1 32.812 (39.091)	Prec@5 65.234 (69.039)
Epoch: [85][2510/7045]	Time 0.274 (0.240)	Data 0.222 (0.179)	Loss 2.6703 (2.5021)	Prec@1 36.328 (39.093)	Prec@5 62.109 (69.034)
Epoch: [85][2520/7045]	Time 0.200 (0.240)	Data 0.149 (0.179)	Loss 2.7711 (2.5024)	Prec@1 33.594 (39.088)	Prec@5 65.234 (69.030)
Epoch: [85][2530/7045]	Time 0.254 (0.240)	Data 0.201 (0.179)	Loss 2.6532 (2.5023)	Prec@1 36.719 (39.093)	Prec@5 66.797 (69.031)
Epoch: [85][2540/7045]	Time 0.137 (0.240)	Data 0.084 (0.179)	Loss 2.4497 (2.5025)	Prec@1 37.891 (39.089)	Prec@5 69.531 (69.025)
Epoch: [85][2550/7045]	Time 0.225 (0.240)	Data 0.173 (0.179)	Loss 2.3831 (2.5026)	Prec@1 41.016 (39.088)	Prec@5 72.266 (69.026)
Epoch: [85][2560/7045]	Time 0.139 (0.240)	Data 0.081 (0.179)	Loss 2.5162 (2.5024)	Prec@1 41.406 (39.094)	Prec@5 66.406 (69.029)
Epoch: [85][2570/7045]	Time 0.255 (0.240)	Data 0.204 (0.179)	Loss 2.3623 (2.5022)	Prec@1 41.797 (39.097)	Prec@5 69.531 (69.030)
Epoch: [85][2580/7045]	Time 0.111 (0.240)	Data 0.059 (0.179)	Loss 2.2897 (2.5024)	Prec@1 40.625 (39.095)	Prec@5 75.391 (69.030)
Epoch: [85][2590/7045]	Time 0.102 (0.240)	Data 0.045 (0.179)	Loss 2.4137 (2.5023)	Prec@1 38.672 (39.096)	Prec@5 75.391 (69.031)
Epoch: [85][2600/7045]	Time 0.102 (0.240)	Data 0.002 (0.179)	Loss 2.5979 (2.5022)	Prec@1 39.062 (39.098)	Prec@5 67.188 (69.033)
Epoch: [85][2610/7045]	Time 0.102 (0.240)	Data 0.002 (0.179)	Loss 2.6138 (2.5024)	Prec@1 39.453 (39.095)	Prec@5 65.625 (69.029)
Epoch: [85][2620/7045]	Time 0.110 (0.240)	Data 0.058 (0.179)	Loss 2.5226 (2.5024)	Prec@1 39.844 (39.098)	Prec@5 68.750 (69.027)
Epoch: [85][2630/7045]	Time 0.102 (0.240)	Data 0.001 (0.179)	Loss 2.5262 (2.5024)	Prec@1 39.844 (39.100)	Prec@5 67.969 (69.025)
Epoch: [85][2640/7045]	Time 0.105 (0.240)	Data 0.052 (0.179)	Loss 2.5523 (2.5024)	Prec@1 38.281 (39.098)	Prec@5 67.969 (69.026)
Epoch: [85][2650/7045]	Time 0.102 (0.240)	Data 0.002 (0.179)	Loss 2.4629 (2.5024)	Prec@1 39.453 (39.096)	Prec@5 67.578 (69.025)
Epoch: [85][2660/7045]	Time 0.145 (0.240)	Data 0.092 (0.179)	Loss 2.3972 (2.5024)	Prec@1 37.891 (39.096)	Prec@5 71.094 (69.026)
Epoch: [85][2670/7045]	Time 0.108 (0.240)	Data 0.056 (0.179)	Loss 2.5466 (2.5024)	Prec@1 38.281 (39.091)	Prec@5 70.703 (69.026)
Epoch: [85][2680/7045]	Time 0.181 (0.240)	Data 0.129 (0.179)	Loss 2.7022 (2.5023)	Prec@1 35.938 (39.097)	Prec@5 62.500 (69.026)
Epoch: [85][2690/7045]	Time 0.107 (0.240)	Data 0.054 (0.179)	Loss 2.2921 (2.5021)	Prec@1 39.062 (39.097)	Prec@5 75.781 (69.030)
Epoch: [85][2700/7045]	Time 0.101 (0.240)	Data 0.045 (0.179)	Loss 2.2710 (2.5021)	Prec@1 42.188 (39.097)	Prec@5 75.781 (69.031)
Epoch: [85][2710/7045]	Time 0.102 (0.240)	Data 0.004 (0.179)	Loss 2.3671 (2.5021)	Prec@1 39.844 (39.096)	Prec@5 71.875 (69.033)
Epoch: [85][2720/7045]	Time 0.102 (0.240)	Data 0.007 (0.179)	Loss 2.4899 (2.5024)	Prec@1 43.359 (39.092)	Prec@5 70.703 (69.028)
Epoch: [85][2730/7045]	Time 0.102 (0.240)	Data 0.005 (0.179)	Loss 2.7124 (2.5026)	Prec@1 33.594 (39.088)	Prec@5 63.672 (69.024)
Epoch: [85][2740/7045]	Time 0.102 (0.240)	Data 0.006 (0.179)	Loss 2.5398 (2.5025)	Prec@1 41.406 (39.091)	Prec@5 68.359 (69.027)
Epoch: [85][2750/7045]	Time 0.108 (0.240)	Data 0.055 (0.179)	Loss 2.4225 (2.5024)	Prec@1 41.016 (39.096)	Prec@5 69.141 (69.027)
Epoch: [85][2760/7045]	Time 0.102 (0.240)	Data 0.004 (0.179)	Loss 2.6685 (2.5025)	Prec@1 36.328 (39.092)	Prec@5 69.531 (69.024)
Epoch: [85][2770/7045]	Time 0.102 (0.240)	Data 0.004 (0.179)	Loss 2.3499 (2.5022)	Prec@1 45.312 (39.097)	Prec@5 74.219 (69.031)
Epoch: [85][2780/7045]	Time 0.102 (0.240)	Data 0.005 (0.179)	Loss 2.4917 (2.5025)	Prec@1 38.672 (39.091)	Prec@5 68.750 (69.026)
Epoch: [85][2790/7045]	Time 0.102 (0.240)	Data 0.001 (0.179)	Loss 2.6574 (2.5027)	Prec@1 37.500 (39.086)	Prec@5 65.625 (69.022)
Epoch: [85][2800/7045]	Time 0.102 (0.240)	Data 0.006 (0.179)	Loss 2.3580 (2.5028)	Prec@1 40.625 (39.091)	Prec@5 73.047 (69.024)
Epoch: [85][2810/7045]	Time 0.102 (0.240)	Data 0.005 (0.179)	Loss 2.5210 (2.5026)	Prec@1 36.719 (39.092)	Prec@5 67.578 (69.028)
Epoch: [85][2820/7045]	Time 0.102 (0.240)	Data 0.001 (0.179)	Loss 2.5157 (2.5026)	Prec@1 36.328 (39.086)	Prec@5 68.750 (69.030)
Epoch: [85][2830/7045]	Time 0.108 (0.240)	Data 0.007 (0.179)	Loss 2.4177 (2.5025)	Prec@1 38.672 (39.084)	Prec@5 71.094 (69.032)
Epoch: [85][2840/7045]	Time 0.102 (0.240)	Data 0.002 (0.179)	Loss 2.6876 (2.5027)	Prec@1 36.328 (39.080)	Prec@5 65.625 (69.026)
Epoch: [85][2850/7045]	Time 0.109 (0.240)	Data 0.005 (0.179)	Loss 2.5162 (2.5025)	Prec@1 39.062 (39.084)	Prec@5 64.453 (69.031)
Epoch: [85][2860/7045]	Time 0.099 (0.240)	Data 0.044 (0.179)	Loss 2.5339 (2.5025)	Prec@1 39.062 (39.084)	Prec@5 66.797 (69.030)
Epoch: [85][2870/7045]	Time 0.109 (0.240)	Data 0.005 (0.179)	Loss 2.5456 (2.5026)	Prec@1 37.500 (39.086)	Prec@5 66.406 (69.027)
Epoch: [85][2880/7045]	Time 0.102 (0.240)	Data 0.005 (0.178)	Loss 2.4157 (2.5024)	Prec@1 39.844 (39.087)	Prec@5 71.875 (69.029)
Epoch: [85][2890/7045]	Time 0.102 (0.240)	Data 0.004 (0.178)	Loss 2.1947 (2.5023)	Prec@1 44.531 (39.089)	Prec@5 75.781 (69.029)
Epoch: [85][2900/7045]	Time 0.111 (0.240)	Data 0.059 (0.178)	Loss 2.6203 (2.5021)	Prec@1 36.328 (39.093)	Prec@5 66.406 (69.035)
Epoch: [85][2910/7045]	Time 0.200 (0.240)	Data 0.149 (0.178)	Loss 2.3432 (2.5023)	Prec@1 41.406 (39.084)	Prec@5 71.875 (69.033)
Epoch: [85][2920/7045]	Time 0.102 (0.240)	Data 0.001 (0.178)	Loss 2.3124 (2.5022)	Prec@1 41.016 (39.081)	Prec@5 71.094 (69.034)
Epoch: [85][2930/7045]	Time 0.119 (0.240)	Data 0.067 (0.178)	Loss 2.5360 (2.5022)	Prec@1 37.109 (39.081)	Prec@5 67.578 (69.032)
Epoch: [85][2940/7045]	Time 0.102 (0.240)	Data 0.001 (0.178)	Loss 2.5457 (2.5022)	Prec@1 38.281 (39.077)	Prec@5 66.797 (69.032)
Epoch: [85][2950/7045]	Time 0.154 (0.240)	Data 0.103 (0.178)	Loss 2.5147 (2.5027)	Prec@1 39.844 (39.073)	Prec@5 68.750 (69.022)
Epoch: [85][2960/7045]	Time 0.102 (0.240)	Data 0.001 (0.178)	Loss 2.5071 (2.5025)	Prec@1 40.625 (39.079)	Prec@5 68.750 (69.026)
Epoch: [85][2970/7045]	Time 0.103 (0.240)	Data 0.001 (0.178)	Loss 2.5718 (2.5025)	Prec@1 38.281 (39.080)	Prec@5 66.797 (69.026)
Epoch: [85][2980/7045]	Time 0.102 (0.240)	Data 0.001 (0.178)	Loss 2.3543 (2.5024)	Prec@1 41.797 (39.080)	Prec@5 73.047 (69.033)
Epoch: [85][2990/7045]	Time 0.108 (0.240)	Data 0.006 (0.178)	Loss 2.5350 (2.5023)	Prec@1 36.719 (39.084)	Prec@5 67.578 (69.034)
Epoch: [85][3000/7045]	Time 0.102 (0.240)	Data 0.001 (0.178)	Loss 2.4330 (2.5024)	Prec@1 40.234 (39.080)	Prec@5 69.141 (69.033)
Epoch: [85][3010/7045]	Time 0.102 (0.240)	Data 0.001 (0.178)	Loss 2.4868 (2.5025)	Prec@1 39.062 (39.083)	Prec@5 67.578 (69.032)
Epoch: [85][3020/7045]	Time 0.102 (0.240)	Data 0.001 (0.178)	Loss 2.5565 (2.5025)	Prec@1 40.625 (39.083)	Prec@5 66.797 (69.028)
Epoch: [85][3030/7045]	Time 0.108 (0.240)	Data 0.001 (0.178)	Loss 2.5087 (2.5027)	Prec@1 43.359 (39.084)	Prec@5 66.406 (69.024)
Epoch: [85][3040/7045]	Time 0.103 (0.240)	Data 0.051 (0.178)	Loss 2.5481 (2.5024)	Prec@1 41.406 (39.092)	Prec@5 67.578 (69.031)
Epoch: [85][3050/7045]	Time 0.102 (0.240)	Data 0.003 (0.178)	Loss 2.4085 (2.5024)	Prec@1 37.891 (39.090)	Prec@5 70.312 (69.033)
Epoch: [85][3060/7045]	Time 0.128 (0.240)	Data 0.076 (0.177)	Loss 2.5420 (2.5024)	Prec@1 38.672 (39.092)	Prec@5 67.969 (69.033)
Epoch: [85][3070/7045]	Time 0.109 (0.240)	Data 0.005 (0.177)	Loss 2.5698 (2.5024)	Prec@1 36.719 (39.089)	Prec@5 66.797 (69.030)
Epoch: [85][3080/7045]	Time 0.161 (0.240)	Data 0.109 (0.177)	Loss 2.6718 (2.5026)	Prec@1 34.766 (39.085)	Prec@5 64.453 (69.026)
Epoch: [85][3090/7045]	Time 0.106 (0.240)	Data 0.053 (0.177)	Loss 2.5922 (2.5027)	Prec@1 38.672 (39.084)	Prec@5 69.531 (69.024)
Epoch: [85][3100/7045]	Time 0.108 (0.240)	Data 0.054 (0.177)	Loss 2.4307 (2.5027)	Prec@1 40.625 (39.084)	Prec@5 68.750 (69.025)
Epoch: [85][3110/7045]	Time 0.122 (0.240)	Data 0.070 (0.178)	Loss 2.4598 (2.5027)	Prec@1 37.109 (39.086)	Prec@5 69.141 (69.023)
Epoch: [85][3120/7045]	Time 0.124 (0.240)	Data 0.072 (0.177)	Loss 2.5931 (2.5028)	Prec@1 33.984 (39.083)	Prec@5 68.750 (69.021)
Epoch: [85][3130/7045]	Time 0.133 (0.240)	Data 0.081 (0.178)	Loss 2.6133 (2.5027)	Prec@1 36.719 (39.083)	Prec@5 68.750 (69.023)
Epoch: [85][3140/7045]	Time 0.102 (0.240)	Data 0.044 (0.178)	Loss 2.3493 (2.5026)	Prec@1 42.969 (39.085)	Prec@5 72.266 (69.025)
Epoch: [85][3150/7045]	Time 0.138 (0.240)	Data 0.085 (0.178)	Loss 2.6007 (2.5026)	Prec@1 33.594 (39.086)	Prec@5 66.406 (69.025)
Epoch: [85][3160/7045]	Time 0.102 (0.240)	Data 0.006 (0.178)	Loss 2.4020 (2.5026)	Prec@1 41.406 (39.085)	Prec@5 70.312 (69.025)
Epoch: [85][3170/7045]	Time 0.102 (0.240)	Data 0.004 (0.178)	Loss 2.6518 (2.5025)	Prec@1 38.672 (39.086)	Prec@5 67.188 (69.026)
Epoch: [85][3180/7045]	Time 0.121 (0.240)	Data 0.069 (0.178)	Loss 2.5081 (2.5022)	Prec@1 41.016 (39.096)	Prec@5 69.141 (69.031)
Epoch: [85][3190/7045]	Time 0.112 (0.240)	Data 0.060 (0.178)	Loss 2.4893 (2.5025)	Prec@1 41.016 (39.090)	Prec@5 67.578 (69.025)
Epoch: [85][3200/7045]	Time 0.111 (0.240)	Data 0.059 (0.178)	Loss 2.5061 (2.5025)	Prec@1 39.844 (39.091)	Prec@5 68.359 (69.026)
Epoch: [85][3210/7045]	Time 0.101 (0.240)	Data 0.004 (0.178)	Loss 2.7234 (2.5024)	Prec@1 33.984 (39.090)	Prec@5 64.062 (69.025)
Epoch: [85][3220/7045]	Time 0.108 (0.240)	Data 0.055 (0.178)	Loss 2.6219 (2.5026)	Prec@1 37.109 (39.084)	Prec@5 66.406 (69.022)
Epoch: [85][3230/7045]	Time 0.102 (0.240)	Data 0.004 (0.178)	Loss 2.6152 (2.5025)	Prec@1 41.016 (39.085)	Prec@5 70.703 (69.024)
Epoch: [85][3240/7045]	Time 0.165 (0.240)	Data 0.113 (0.178)	Loss 2.3312 (2.5024)	Prec@1 44.141 (39.090)	Prec@5 71.094 (69.025)
Epoch: [85][3250/7045]	Time 0.102 (0.240)	Data 0.005 (0.178)	Loss 2.3854 (2.5023)	Prec@1 43.359 (39.092)	Prec@5 71.484 (69.026)
Epoch: [85][3260/7045]	Time 0.212 (0.240)	Data 0.161 (0.178)	Loss 2.3320 (2.5023)	Prec@1 44.141 (39.089)	Prec@5 71.875 (69.025)
Epoch: [85][3270/7045]	Time 0.101 (0.240)	Data 0.005 (0.178)	Loss 2.3795 (2.5021)	Prec@1 39.844 (39.092)	Prec@5 73.047 (69.030)
Epoch: [85][3280/7045]	Time 0.209 (0.240)	Data 0.157 (0.178)	Loss 2.6387 (2.5023)	Prec@1 39.062 (39.090)	Prec@5 65.625 (69.028)
Epoch: [85][3290/7045]	Time 0.112 (0.240)	Data 0.059 (0.178)	Loss 2.5327 (2.5022)	Prec@1 39.062 (39.092)	Prec@5 70.312 (69.031)
Epoch: [85][3300/7045]	Time 0.305 (0.240)	Data 0.253 (0.178)	Loss 2.3719 (2.5022)	Prec@1 41.016 (39.095)	Prec@5 70.312 (69.031)
Epoch: [85][3310/7045]	Time 0.102 (0.240)	Data 0.045 (0.178)	Loss 2.5252 (2.5022)	Prec@1 38.672 (39.101)	Prec@5 69.531 (69.031)
Epoch: [85][3320/7045]	Time 0.229 (0.240)	Data 0.175 (0.178)	Loss 2.5427 (2.5020)	Prec@1 36.328 (39.102)	Prec@5 67.188 (69.036)
Epoch: [85][3330/7045]	Time 0.102 (0.240)	Data 0.001 (0.178)	Loss 2.5847 (2.5020)	Prec@1 35.156 (39.099)	Prec@5 69.922 (69.036)
Epoch: [85][3340/7045]	Time 0.234 (0.240)	Data 0.183 (0.178)	Loss 2.4948 (2.5020)	Prec@1 40.234 (39.094)	Prec@5 67.969 (69.038)
Epoch: [85][3350/7045]	Time 0.102 (0.240)	Data 0.006 (0.178)	Loss 2.5522 (2.5020)	Prec@1 35.547 (39.095)	Prec@5 67.969 (69.039)
Epoch: [85][3360/7045]	Time 0.260 (0.240)	Data 0.208 (0.178)	Loss 2.3443 (2.5020)	Prec@1 39.062 (39.091)	Prec@5 74.219 (69.037)
Epoch: [85][3370/7045]	Time 0.171 (0.240)	Data 0.119 (0.178)	Loss 2.3363 (2.5019)	Prec@1 39.453 (39.095)	Prec@5 72.656 (69.039)
Epoch: [85][3380/7045]	Time 0.167 (0.240)	Data 0.115 (0.178)	Loss 2.5588 (2.5020)	Prec@1 39.844 (39.099)	Prec@5 67.969 (69.039)
Epoch: [85][3390/7045]	Time 0.210 (0.240)	Data 0.159 (0.178)	Loss 2.4075 (2.5021)	Prec@1 39.062 (39.099)	Prec@5 69.922 (69.039)
Epoch: [85][3400/7045]	Time 0.237 (0.240)	Data 0.185 (0.178)	Loss 2.3774 (2.5020)	Prec@1 43.359 (39.101)	Prec@5 71.875 (69.043)
Epoch: [85][3410/7045]	Time 0.200 (0.240)	Data 0.147 (0.178)	Loss 2.6035 (2.5020)	Prec@1 37.500 (39.101)	Prec@5 71.094 (69.040)
Epoch: [85][3420/7045]	Time 0.191 (0.240)	Data 0.140 (0.178)	Loss 2.4547 (2.5021)	Prec@1 42.578 (39.100)	Prec@5 71.094 (69.040)
Epoch: [85][3430/7045]	Time 0.276 (0.240)	Data 0.224 (0.178)	Loss 2.3324 (2.5022)	Prec@1 39.844 (39.098)	Prec@5 73.047 (69.038)
Epoch: [85][3440/7045]	Time 0.106 (0.240)	Data 0.053 (0.178)	Loss 2.5201 (2.5022)	Prec@1 40.234 (39.097)	Prec@5 71.875 (69.039)
Epoch: [85][3450/7045]	Time 0.173 (0.240)	Data 0.120 (0.178)	Loss 2.5163 (2.5022)	Prec@1 35.938 (39.097)	Prec@5 68.359 (69.038)
Epoch: [85][3460/7045]	Time 0.107 (0.240)	Data 0.053 (0.178)	Loss 2.5406 (2.5023)	Prec@1 38.672 (39.094)	Prec@5 68.359 (69.039)
Epoch: [85][3470/7045]	Time 0.236 (0.240)	Data 0.184 (0.178)	Loss 2.7828 (2.5025)	Prec@1 35.547 (39.093)	Prec@5 63.281 (69.031)
Epoch: [85][3480/7045]	Time 0.146 (0.240)	Data 0.094 (0.178)	Loss 2.5679 (2.5026)	Prec@1 42.969 (39.091)	Prec@5 68.750 (69.029)
Epoch: [85][3490/7045]	Time 0.194 (0.240)	Data 0.142 (0.178)	Loss 2.4441 (2.5027)	Prec@1 40.234 (39.092)	Prec@5 70.703 (69.029)
Epoch: [85][3500/7045]	Time 0.186 (0.240)	Data 0.135 (0.178)	Loss 2.4841 (2.5026)	Prec@1 38.672 (39.093)	Prec@5 66.016 (69.030)
Epoch: [85][3510/7045]	Time 0.168 (0.240)	Data 0.115 (0.178)	Loss 2.4147 (2.5026)	Prec@1 42.188 (39.094)	Prec@5 72.266 (69.032)
Epoch: [85][3520/7045]	Time 0.226 (0.240)	Data 0.174 (0.178)	Loss 2.4804 (2.5027)	Prec@1 39.062 (39.092)	Prec@5 67.969 (69.028)
Epoch: [85][3530/7045]	Time 0.102 (0.240)	Data 0.003 (0.178)	Loss 2.5878 (2.5028)	Prec@1 38.281 (39.089)	Prec@5 69.141 (69.028)
Epoch: [85][3540/7045]	Time 0.106 (0.240)	Data 0.053 (0.178)	Loss 2.5953 (2.5027)	Prec@1 37.500 (39.088)	Prec@5 68.359 (69.033)
Epoch: [85][3550/7045]	Time 0.150 (0.240)	Data 0.099 (0.178)	Loss 2.2801 (2.5026)	Prec@1 42.188 (39.089)	Prec@5 72.656 (69.035)
Epoch: [85][3560/7045]	Time 0.102 (0.240)	Data 0.002 (0.178)	Loss 2.5981 (2.5027)	Prec@1 35.156 (39.090)	Prec@5 69.141 (69.036)
Epoch: [85][3570/7045]	Time 0.289 (0.240)	Data 0.237 (0.178)	Loss 2.4827 (2.5027)	Prec@1 37.109 (39.088)	Prec@5 71.484 (69.035)
Epoch: [85][3580/7045]	Time 0.109 (0.240)	Data 0.004 (0.178)	Loss 2.5718 (2.5027)	Prec@1 39.844 (39.085)	Prec@5 68.359 (69.034)
Epoch: [85][3590/7045]	Time 0.302 (0.240)	Data 0.250 (0.178)	Loss 2.5408 (2.5027)	Prec@1 38.672 (39.085)	Prec@5 71.094 (69.034)
Epoch: [85][3600/7045]	Time 0.103 (0.240)	Data 0.050 (0.178)	Loss 2.3851 (2.5027)	Prec@1 42.578 (39.084)	Prec@5 71.094 (69.034)
Epoch: [85][3610/7045]	Time 0.379 (0.240)	Data 0.326 (0.178)	Loss 2.4335 (2.5026)	Prec@1 38.672 (39.084)	Prec@5 71.094 (69.038)
Epoch: [85][3620/7045]	Time 0.103 (0.240)	Data 0.005 (0.178)	Loss 2.5172 (2.5026)	Prec@1 39.453 (39.085)	Prec@5 65.234 (69.036)
Epoch: [85][3630/7045]	Time 0.365 (0.240)	Data 0.314 (0.178)	Loss 2.5492 (2.5027)	Prec@1 38.281 (39.081)	Prec@5 64.062 (69.035)
Epoch: [85][3640/7045]	Time 0.135 (0.240)	Data 0.084 (0.178)	Loss 2.7009 (2.5030)	Prec@1 36.328 (39.075)	Prec@5 63.281 (69.027)
Epoch: [85][3650/7045]	Time 0.495 (0.240)	Data 0.443 (0.178)	Loss 2.2632 (2.5029)	Prec@1 43.750 (39.077)	Prec@5 73.047 (69.028)
Epoch: [85][3660/7045]	Time 0.172 (0.240)	Data 0.114 (0.178)	Loss 2.5007 (2.5029)	Prec@1 37.891 (39.074)	Prec@5 67.969 (69.027)
Epoch: [85][3670/7045]	Time 0.530 (0.240)	Data 0.479 (0.178)	Loss 2.6783 (2.5028)	Prec@1 37.109 (39.073)	Prec@5 66.797 (69.029)
Epoch: [85][3680/7045]	Time 0.245 (0.240)	Data 0.193 (0.178)	Loss 2.4471 (2.5029)	Prec@1 43.359 (39.071)	Prec@5 69.141 (69.028)
Epoch: [85][3690/7045]	Time 0.488 (0.240)	Data 0.437 (0.178)	Loss 2.5701 (2.5029)	Prec@1 38.281 (39.072)	Prec@5 66.016 (69.028)
Epoch: [85][3700/7045]	Time 0.191 (0.240)	Data 0.138 (0.178)	Loss 2.4890 (2.5030)	Prec@1 42.188 (39.069)	Prec@5 69.141 (69.027)
Epoch: [85][3710/7045]	Time 0.442 (0.240)	Data 0.391 (0.178)	Loss 2.3563 (2.5028)	Prec@1 42.188 (39.077)	Prec@5 72.656 (69.031)
Epoch: [85][3720/7045]	Time 0.234 (0.240)	Data 0.176 (0.178)	Loss 2.5747 (2.5026)	Prec@1 35.156 (39.077)	Prec@5 67.188 (69.036)
Epoch: [85][3730/7045]	Time 0.449 (0.240)	Data 0.398 (0.178)	Loss 2.5007 (2.5028)	Prec@1 40.234 (39.071)	Prec@5 67.578 (69.033)
Epoch: [85][3740/7045]	Time 0.274 (0.240)	Data 0.223 (0.178)	Loss 2.5490 (2.5028)	Prec@1 39.453 (39.073)	Prec@5 66.797 (69.033)
Epoch: [85][3750/7045]	Time 0.394 (0.240)	Data 0.343 (0.178)	Loss 2.6522 (2.5028)	Prec@1 33.594 (39.073)	Prec@5 66.016 (69.033)
Epoch: [85][3760/7045]	Time 0.233 (0.240)	Data 0.182 (0.178)	Loss 2.5076 (2.5027)	Prec@1 37.109 (39.075)	Prec@5 71.875 (69.035)
Epoch: [85][3770/7045]	Time 0.259 (0.240)	Data 0.208 (0.178)	Loss 2.4874 (2.5028)	Prec@1 38.281 (39.073)	Prec@5 69.531 (69.032)
Epoch: [85][3780/7045]	Time 0.128 (0.240)	Data 0.076 (0.178)	Loss 2.4390 (2.5028)	Prec@1 33.594 (39.073)	Prec@5 69.922 (69.032)
Epoch: [85][3790/7045]	Time 0.204 (0.240)	Data 0.152 (0.178)	Loss 2.5957 (2.5030)	Prec@1 34.375 (39.068)	Prec@5 68.359 (69.028)
Epoch: [85][3800/7045]	Time 0.126 (0.240)	Data 0.074 (0.178)	Loss 2.6269 (2.5030)	Prec@1 33.203 (39.068)	Prec@5 68.359 (69.024)
Epoch: [85][3810/7045]	Time 0.144 (0.240)	Data 0.091 (0.178)	Loss 2.4671 (2.5031)	Prec@1 41.797 (39.065)	Prec@5 72.266 (69.022)
Epoch: [85][3820/7045]	Time 0.102 (0.240)	Data 0.005 (0.178)	Loss 2.5273 (2.5033)	Prec@1 37.109 (39.064)	Prec@5 68.750 (69.018)
Epoch: [85][3830/7045]	Time 0.222 (0.240)	Data 0.170 (0.178)	Loss 2.4148 (2.5033)	Prec@1 46.875 (39.066)	Prec@5 72.266 (69.021)
Epoch: [85][3840/7045]	Time 0.105 (0.240)	Data 0.052 (0.178)	Loss 2.5134 (2.5032)	Prec@1 39.062 (39.067)	Prec@5 69.141 (69.024)
Epoch: [85][3850/7045]	Time 0.118 (0.240)	Data 0.066 (0.178)	Loss 2.3944 (2.5033)	Prec@1 38.672 (39.065)	Prec@5 69.922 (69.024)
Epoch: [85][3860/7045]	Time 0.102 (0.240)	Data 0.004 (0.178)	Loss 2.5251 (2.5032)	Prec@1 41.797 (39.067)	Prec@5 67.188 (69.027)
Epoch: [85][3870/7045]	Time 0.102 (0.240)	Data 0.004 (0.178)	Loss 2.8153 (2.5033)	Prec@1 35.938 (39.065)	Prec@5 60.156 (69.024)
Epoch: [85][3880/7045]	Time 0.139 (0.240)	Data 0.086 (0.178)	Loss 2.4252 (2.5034)	Prec@1 39.844 (39.065)	Prec@5 69.922 (69.024)
Epoch: [85][3890/7045]	Time 0.102 (0.240)	Data 0.001 (0.178)	Loss 2.6635 (2.5035)	Prec@1 37.891 (39.062)	Prec@5 66.406 (69.023)
Epoch: [85][3900/7045]	Time 0.102 (0.240)	Data 0.002 (0.178)	Loss 2.3528 (2.5035)	Prec@1 42.578 (39.061)	Prec@5 73.828 (69.023)
Epoch: [85][3910/7045]	Time 0.102 (0.240)	Data 0.007 (0.178)	Loss 2.3146 (2.5035)	Prec@1 41.797 (39.065)	Prec@5 72.656 (69.022)
Epoch: [85][3920/7045]	Time 0.103 (0.240)	Data 0.001 (0.178)	Loss 2.7197 (2.5034)	Prec@1 36.328 (39.066)	Prec@5 65.625 (69.022)
Epoch: [85][3930/7045]	Time 0.102 (0.240)	Data 0.003 (0.178)	Loss 2.6377 (2.5035)	Prec@1 36.328 (39.066)	Prec@5 67.578 (69.023)
Epoch: [85][3940/7045]	Time 0.102 (0.240)	Data 0.005 (0.178)	Loss 2.6155 (2.5035)	Prec@1 38.672 (39.068)	Prec@5 67.578 (69.022)
Epoch: [85][3950/7045]	Time 0.102 (0.240)	Data 0.005 (0.178)	Loss 2.2958 (2.5035)	Prec@1 43.359 (39.068)	Prec@5 71.484 (69.022)
Epoch: [85][3960/7045]	Time 0.102 (0.240)	Data 0.005 (0.178)	Loss 2.4315 (2.5036)	Prec@1 42.188 (39.067)	Prec@5 66.016 (69.020)
Epoch: [85][3970/7045]	Time 0.102 (0.240)	Data 0.045 (0.178)	Loss 2.3092 (2.5035)	Prec@1 44.531 (39.069)	Prec@5 73.047 (69.021)
Epoch: [85][3980/7045]	Time 0.102 (0.240)	Data 0.003 (0.178)	Loss 2.4223 (2.5036)	Prec@1 43.359 (39.067)	Prec@5 69.531 (69.020)
Epoch: [85][3990/7045]	Time 0.131 (0.240)	Data 0.078 (0.178)	Loss 2.4210 (2.5036)	Prec@1 38.281 (39.066)	Prec@5 71.875 (69.020)
Epoch: [85][4000/7045]	Time 0.102 (0.240)	Data 0.001 (0.178)	Loss 2.3886 (2.5037)	Prec@1 41.406 (39.067)	Prec@5 73.828 (69.020)
Epoch: [85][4010/7045]	Time 0.211 (0.240)	Data 0.159 (0.178)	Loss 2.4501 (2.5037)	Prec@1 42.188 (39.069)	Prec@5 70.703 (69.020)
Epoch: [85][4020/7045]	Time 0.159 (0.240)	Data 0.107 (0.178)	Loss 2.5197 (2.5038)	Prec@1 37.109 (39.068)	Prec@5 69.922 (69.018)
Epoch: [85][4030/7045]	Time 0.300 (0.240)	Data 0.249 (0.178)	Loss 2.4030 (2.5037)	Prec@1 40.234 (39.069)	Prec@5 69.922 (69.019)
Epoch: [85][4040/7045]	Time 0.112 (0.240)	Data 0.060 (0.178)	Loss 2.6914 (2.5038)	Prec@1 39.062 (39.067)	Prec@5 63.672 (69.015)
Epoch: [85][4050/7045]	Time 0.442 (0.240)	Data 0.384 (0.178)	Loss 2.7133 (2.5037)	Prec@1 36.719 (39.065)	Prec@5 64.062 (69.013)
Epoch: [85][4060/7045]	Time 0.103 (0.240)	Data 0.001 (0.178)	Loss 2.7300 (2.5039)	Prec@1 33.203 (39.063)	Prec@5 64.844 (69.009)
Epoch: [85][4070/7045]	Time 0.305 (0.240)	Data 0.253 (0.178)	Loss 2.2723 (2.5037)	Prec@1 46.875 (39.065)	Prec@5 73.438 (69.015)
Epoch: [85][4080/7045]	Time 0.185 (0.240)	Data 0.134 (0.178)	Loss 2.6739 (2.5036)	Prec@1 37.109 (39.071)	Prec@5 69.531 (69.020)
Epoch: [85][4090/7045]	Time 0.279 (0.240)	Data 0.223 (0.178)	Loss 2.5488 (2.5035)	Prec@1 42.969 (39.073)	Prec@5 67.969 (69.023)
Epoch: [85][4100/7045]	Time 0.193 (0.240)	Data 0.142 (0.178)	Loss 2.5069 (2.5035)	Prec@1 40.625 (39.074)	Prec@5 68.359 (69.022)
Epoch: [85][4110/7045]	Time 0.258 (0.240)	Data 0.207 (0.178)	Loss 2.4447 (2.5035)	Prec@1 39.844 (39.075)	Prec@5 67.188 (69.021)
Epoch: [85][4120/7045]	Time 0.152 (0.240)	Data 0.100 (0.178)	Loss 2.4033 (2.5035)	Prec@1 43.750 (39.075)	Prec@5 70.703 (69.021)
Epoch: [85][4130/7045]	Time 0.263 (0.240)	Data 0.211 (0.178)	Loss 2.4844 (2.5034)	Prec@1 37.109 (39.079)	Prec@5 68.359 (69.026)
Epoch: [85][4140/7045]	Time 0.110 (0.240)	Data 0.058 (0.178)	Loss 2.5823 (2.5034)	Prec@1 36.328 (39.079)	Prec@5 66.016 (69.025)
Epoch: [85][4150/7045]	Time 0.204 (0.240)	Data 0.152 (0.178)	Loss 2.6751 (2.5036)	Prec@1 31.641 (39.073)	Prec@5 63.672 (69.022)
Epoch: [85][4160/7045]	Time 0.128 (0.240)	Data 0.075 (0.178)	Loss 2.4756 (2.5036)	Prec@1 36.719 (39.070)	Prec@5 68.359 (69.021)
Epoch: [85][4170/7045]	Time 0.256 (0.240)	Data 0.205 (0.178)	Loss 2.4347 (2.5038)	Prec@1 40.234 (39.067)	Prec@5 69.922 (69.019)
Epoch: [85][4180/7045]	Time 0.107 (0.240)	Data 0.054 (0.178)	Loss 2.7742 (2.5039)	Prec@1 32.812 (39.064)	Prec@5 61.719 (69.013)
Epoch: [85][4190/7045]	Time 0.286 (0.240)	Data 0.233 (0.178)	Loss 2.4761 (2.5039)	Prec@1 41.016 (39.065)	Prec@5 72.266 (69.013)
Epoch: [85][4200/7045]	Time 0.159 (0.240)	Data 0.107 (0.178)	Loss 2.3522 (2.5037)	Prec@1 42.188 (39.070)	Prec@5 71.484 (69.016)
Epoch: [85][4210/7045]	Time 0.276 (0.240)	Data 0.224 (0.178)	Loss 2.5757 (2.5039)	Prec@1 39.062 (39.066)	Prec@5 67.578 (69.011)
Epoch: [85][4220/7045]	Time 0.180 (0.240)	Data 0.127 (0.178)	Loss 2.3227 (2.5039)	Prec@1 44.141 (39.065)	Prec@5 72.266 (69.010)
Epoch: [85][4230/7045]	Time 0.231 (0.240)	Data 0.179 (0.178)	Loss 2.2894 (2.5039)	Prec@1 39.844 (39.061)	Prec@5 73.828 (69.009)
Epoch: [85][4240/7045]	Time 0.269 (0.240)	Data 0.210 (0.178)	Loss 2.5260 (2.5039)	Prec@1 38.672 (39.060)	Prec@5 68.750 (69.010)
Epoch: [85][4250/7045]	Time 0.286 (0.240)	Data 0.234 (0.178)	Loss 2.3486 (2.5037)	Prec@1 42.969 (39.062)	Prec@5 72.266 (69.011)
Epoch: [85][4260/7045]	Time 0.240 (0.240)	Data 0.188 (0.178)	Loss 2.6236 (2.5036)	Prec@1 33.984 (39.063)	Prec@5 65.625 (69.013)
Epoch: [85][4270/7045]	Time 0.330 (0.240)	Data 0.277 (0.178)	Loss 2.2977 (2.5034)	Prec@1 44.531 (39.065)	Prec@5 75.781 (69.018)
Epoch: [85][4280/7045]	Time 0.172 (0.240)	Data 0.119 (0.178)	Loss 2.6797 (2.5034)	Prec@1 38.281 (39.066)	Prec@5 67.188 (69.016)
Epoch: [85][4290/7045]	Time 0.250 (0.240)	Data 0.197 (0.178)	Loss 2.6009 (2.5035)	Prec@1 35.938 (39.065)	Prec@5 68.750 (69.013)
Epoch: [85][4300/7045]	Time 0.165 (0.240)	Data 0.112 (0.178)	Loss 2.4666 (2.5034)	Prec@1 37.891 (39.067)	Prec@5 68.750 (69.016)
Epoch: [85][4310/7045]	Time 0.373 (0.240)	Data 0.320 (0.178)	Loss 2.6597 (2.5033)	Prec@1 36.719 (39.070)	Prec@5 66.016 (69.018)
Epoch: [85][4320/7045]	Time 0.208 (0.240)	Data 0.155 (0.178)	Loss 2.5407 (2.5034)	Prec@1 39.844 (39.069)	Prec@5 68.750 (69.016)
Epoch: [85][4330/7045]	Time 0.437 (0.240)	Data 0.386 (0.178)	Loss 2.3465 (2.5033)	Prec@1 43.359 (39.066)	Prec@5 72.266 (69.018)
Epoch: [85][4340/7045]	Time 0.108 (0.240)	Data 0.055 (0.178)	Loss 2.6706 (2.5035)	Prec@1 34.375 (39.063)	Prec@5 68.359 (69.014)
Epoch: [85][4350/7045]	Time 0.408 (0.240)	Data 0.355 (0.178)	Loss 2.6054 (2.5035)	Prec@1 37.500 (39.061)	Prec@5 69.141 (69.015)
Epoch: [85][4360/7045]	Time 0.285 (0.240)	Data 0.233 (0.178)	Loss 2.6527 (2.5035)	Prec@1 35.156 (39.062)	Prec@5 65.625 (69.015)
Epoch: [85][4370/7045]	Time 0.380 (0.240)	Data 0.328 (0.178)	Loss 2.4699 (2.5036)	Prec@1 41.016 (39.062)	Prec@5 71.094 (69.017)
Epoch: [85][4380/7045]	Time 0.197 (0.240)	Data 0.145 (0.178)	Loss 2.4307 (2.5035)	Prec@1 38.281 (39.059)	Prec@5 74.219 (69.019)
Epoch: [85][4390/7045]	Time 0.369 (0.240)	Data 0.317 (0.178)	Loss 2.5422 (2.5035)	Prec@1 39.453 (39.059)	Prec@5 67.188 (69.022)
Epoch: [85][4400/7045]	Time 0.102 (0.240)	Data 0.004 (0.178)	Loss 2.6375 (2.5035)	Prec@1 37.500 (39.061)	Prec@5 65.625 (69.021)
Epoch: [85][4410/7045]	Time 0.363 (0.240)	Data 0.311 (0.178)	Loss 2.4893 (2.5035)	Prec@1 38.281 (39.059)	Prec@5 69.531 (69.023)
Epoch: [85][4420/7045]	Time 0.102 (0.240)	Data 0.001 (0.178)	Loss 2.4261 (2.5034)	Prec@1 39.453 (39.059)	Prec@5 67.969 (69.023)
Epoch: [85][4430/7045]	Time 0.315 (0.240)	Data 0.263 (0.178)	Loss 2.4239 (2.5035)	Prec@1 39.844 (39.057)	Prec@5 71.875 (69.022)
Epoch: [85][4440/7045]	Time 0.102 (0.240)	Data 0.007 (0.178)	Loss 2.5279 (2.5035)	Prec@1 38.281 (39.059)	Prec@5 67.188 (69.022)
Epoch: [85][4450/7045]	Time 0.348 (0.240)	Data 0.297 (0.178)	Loss 2.5948 (2.5034)	Prec@1 38.281 (39.058)	Prec@5 65.234 (69.024)
Epoch: [85][4460/7045]	Time 0.109 (0.240)	Data 0.056 (0.178)	Loss 2.5023 (2.5034)	Prec@1 38.672 (39.060)	Prec@5 67.969 (69.023)
Epoch: [85][4470/7045]	Time 0.317 (0.240)	Data 0.265 (0.178)	Loss 2.4013 (2.5035)	Prec@1 38.672 (39.056)	Prec@5 70.312 (69.022)
Epoch: [85][4480/7045]	Time 0.102 (0.240)	Data 0.003 (0.178)	Loss 2.4236 (2.5036)	Prec@1 37.500 (39.054)	Prec@5 71.094 (69.019)
Epoch: [85][4490/7045]	Time 0.331 (0.240)	Data 0.279 (0.178)	Loss 2.4838 (2.5036)	Prec@1 39.453 (39.055)	Prec@5 69.531 (69.015)
Epoch: [85][4500/7045]	Time 0.102 (0.240)	Data 0.006 (0.178)	Loss 2.4446 (2.5037)	Prec@1 41.016 (39.053)	Prec@5 68.359 (69.012)
Epoch: [85][4510/7045]	Time 0.363 (0.240)	Data 0.311 (0.178)	Loss 2.6336 (2.5038)	Prec@1 36.719 (39.052)	Prec@5 66.016 (69.009)
Epoch: [85][4520/7045]	Time 0.144 (0.240)	Data 0.093 (0.178)	Loss 2.2539 (2.5037)	Prec@1 46.094 (39.057)	Prec@5 73.438 (69.009)
Epoch: [85][4530/7045]	Time 0.236 (0.240)	Data 0.183 (0.178)	Loss 2.4093 (2.5037)	Prec@1 41.406 (39.056)	Prec@5 71.094 (69.010)
Epoch: [85][4540/7045]	Time 0.362 (0.240)	Data 0.310 (0.178)	Loss 2.5232 (2.5037)	Prec@1 37.500 (39.056)	Prec@5 67.578 (69.009)
Epoch: [85][4550/7045]	Time 0.250 (0.240)	Data 0.198 (0.178)	Loss 2.4694 (2.5037)	Prec@1 39.062 (39.057)	Prec@5 69.531 (69.009)
Epoch: [85][4560/7045]	Time 0.374 (0.240)	Data 0.322 (0.179)	Loss 2.2845 (2.5035)	Prec@1 42.969 (39.058)	Prec@5 73.438 (69.011)
Epoch: [85][4570/7045]	Time 0.353 (0.240)	Data 0.293 (0.179)	Loss 2.3579 (2.5034)	Prec@1 38.281 (39.062)	Prec@5 71.094 (69.014)
Epoch: [85][4580/7045]	Time 0.428 (0.240)	Data 0.369 (0.179)	Loss 2.8507 (2.5035)	Prec@1 36.328 (39.061)	Prec@5 60.938 (69.009)
Epoch: [85][4590/7045]	Time 0.280 (0.240)	Data 0.222 (0.179)	Loss 2.5942 (2.5035)	Prec@1 32.422 (39.059)	Prec@5 64.453 (69.008)
Epoch: [85][4600/7045]	Time 0.441 (0.240)	Data 0.383 (0.179)	Loss 2.6299 (2.5035)	Prec@1 41.406 (39.058)	Prec@5 65.625 (69.007)
Epoch: [85][4610/7045]	Time 0.296 (0.240)	Data 0.244 (0.179)	Loss 2.6626 (2.5037)	Prec@1 32.812 (39.056)	Prec@5 66.797 (69.005)
Epoch: [85][4620/7045]	Time 0.459 (0.240)	Data 0.408 (0.179)	Loss 2.3534 (2.5036)	Prec@1 39.453 (39.055)	Prec@5 75.000 (69.006)
Epoch: [85][4630/7045]	Time 0.317 (0.240)	Data 0.266 (0.179)	Loss 2.4613 (2.5037)	Prec@1 43.359 (39.054)	Prec@5 68.750 (69.005)
Epoch: [85][4640/7045]	Time 0.414 (0.240)	Data 0.362 (0.179)	Loss 2.6540 (2.5038)	Prec@1 36.719 (39.051)	Prec@5 68.359 (69.002)
Epoch: [85][4650/7045]	Time 0.299 (0.240)	Data 0.247 (0.178)	Loss 2.4217 (2.5038)	Prec@1 39.844 (39.047)	Prec@5 69.531 (69.002)
Epoch: [85][4660/7045]	Time 0.419 (0.240)	Data 0.361 (0.178)	Loss 2.3085 (2.5038)	Prec@1 41.406 (39.049)	Prec@5 71.094 (69.001)
Epoch: [85][4670/7045]	Time 0.245 (0.240)	Data 0.193 (0.178)	Loss 2.6387 (2.5039)	Prec@1 34.766 (39.048)	Prec@5 65.625 (69.000)
Epoch: [85][4680/7045]	Time 0.492 (0.240)	Data 0.441 (0.178)	Loss 2.7375 (2.5041)	Prec@1 38.281 (39.046)	Prec@5 65.234 (68.997)
Epoch: [85][4690/7045]	Time 0.215 (0.240)	Data 0.163 (0.178)	Loss 2.3830 (2.5040)	Prec@1 42.188 (39.045)	Prec@5 73.438 (68.998)
Epoch: [85][4700/7045]	Time 0.482 (0.240)	Data 0.430 (0.178)	Loss 2.5903 (2.5040)	Prec@1 36.719 (39.046)	Prec@5 69.922 (68.997)
Epoch: [85][4710/7045]	Time 0.178 (0.240)	Data 0.125 (0.178)	Loss 2.3574 (2.5040)	Prec@1 39.844 (39.048)	Prec@5 73.438 (68.998)
Epoch: [85][4720/7045]	Time 0.509 (0.240)	Data 0.458 (0.178)	Loss 2.5845 (2.5040)	Prec@1 38.672 (39.046)	Prec@5 68.359 (68.999)
Epoch: [85][4730/7045]	Time 0.134 (0.240)	Data 0.082 (0.178)	Loss 2.6349 (2.5040)	Prec@1 36.719 (39.045)	Prec@5 67.969 (69.001)
Epoch: [85][4740/7045]	Time 0.482 (0.240)	Data 0.430 (0.178)	Loss 2.5465 (2.5040)	Prec@1 39.844 (39.045)	Prec@5 70.703 (69.002)
Epoch: [85][4750/7045]	Time 0.169 (0.240)	Data 0.111 (0.178)	Loss 2.4247 (2.5040)	Prec@1 42.188 (39.045)	Prec@5 69.141 (69.002)
Epoch: [85][4760/7045]	Time 0.560 (0.240)	Data 0.508 (0.178)	Loss 2.4866 (2.5040)	Prec@1 41.016 (39.046)	Prec@5 68.750 (69.002)
Epoch: [85][4770/7045]	Time 0.122 (0.240)	Data 0.071 (0.178)	Loss 2.3845 (2.5041)	Prec@1 40.625 (39.048)	Prec@5 69.922 (69.001)
Epoch: [85][4780/7045]	Time 0.463 (0.240)	Data 0.412 (0.178)	Loss 2.3959 (2.5040)	Prec@1 41.016 (39.045)	Prec@5 73.828 (69.001)
Epoch: [85][4790/7045]	Time 0.230 (0.240)	Data 0.179 (0.178)	Loss 2.7033 (2.5042)	Prec@1 34.375 (39.043)	Prec@5 64.453 (68.999)
Epoch: [85][4800/7045]	Time 0.451 (0.240)	Data 0.399 (0.178)	Loss 2.3673 (2.5041)	Prec@1 42.578 (39.043)	Prec@5 69.922 (69.000)
Epoch: [85][4810/7045]	Time 0.149 (0.240)	Data 0.090 (0.178)	Loss 2.4248 (2.5041)	Prec@1 42.188 (39.045)	Prec@5 70.312 (69.001)
Epoch: [85][4820/7045]	Time 0.372 (0.240)	Data 0.320 (0.178)	Loss 2.4106 (2.5041)	Prec@1 39.844 (39.046)	Prec@5 73.047 (69.003)
Epoch: [85][4830/7045]	Time 0.102 (0.240)	Data 0.045 (0.178)	Loss 2.5986 (2.5040)	Prec@1 34.766 (39.048)	Prec@5 66.016 (69.004)
Epoch: [85][4840/7045]	Time 0.337 (0.240)	Data 0.286 (0.178)	Loss 2.4912 (2.5040)	Prec@1 40.625 (39.048)	Prec@5 69.141 (69.004)
Epoch: [85][4850/7045]	Time 0.102 (0.240)	Data 0.005 (0.178)	Loss 2.3540 (2.5040)	Prec@1 41.797 (39.047)	Prec@5 74.609 (69.004)
Epoch: [85][4860/7045]	Time 0.321 (0.240)	Data 0.269 (0.178)	Loss 2.6059 (2.5040)	Prec@1 40.625 (39.046)	Prec@5 66.406 (69.005)
Epoch: [85][4870/7045]	Time 0.108 (0.240)	Data 0.001 (0.178)	Loss 2.3933 (2.5040)	Prec@1 40.234 (39.044)	Prec@5 70.703 (69.004)
Epoch: [85][4880/7045]	Time 0.340 (0.240)	Data 0.288 (0.178)	Loss 2.3514 (2.5039)	Prec@1 42.969 (39.046)	Prec@5 73.047 (69.005)
Epoch: [85][4890/7045]	Time 0.103 (0.240)	Data 0.003 (0.178)	Loss 2.7057 (2.5039)	Prec@1 36.328 (39.045)	Prec@5 65.625 (69.004)
Epoch: [85][4900/7045]	Time 0.282 (0.240)	Data 0.230 (0.178)	Loss 2.5419 (2.5040)	Prec@1 41.406 (39.045)	Prec@5 68.750 (69.005)
Epoch: [85][4910/7045]	Time 0.101 (0.240)	Data 0.001 (0.178)	Loss 2.4787 (2.5039)	Prec@1 39.062 (39.046)	Prec@5 68.359 (69.007)
Epoch: [85][4920/7045]	Time 0.162 (0.240)	Data 0.111 (0.178)	Loss 2.2940 (2.5038)	Prec@1 41.016 (39.047)	Prec@5 73.047 (69.009)
Epoch: [85][4930/7045]	Time 0.102 (0.240)	Data 0.003 (0.178)	Loss 2.7322 (2.5039)	Prec@1 35.938 (39.050)	Prec@5 62.500 (69.009)
Epoch: [85][4940/7045]	Time 0.221 (0.240)	Data 0.170 (0.178)	Loss 2.4409 (2.5040)	Prec@1 35.547 (39.049)	Prec@5 70.312 (69.006)
Epoch: [85][4950/7045]	Time 0.102 (0.240)	Data 0.005 (0.178)	Loss 2.6072 (2.5040)	Prec@1 36.719 (39.048)	Prec@5 67.188 (69.005)
Epoch: [85][4960/7045]	Time 0.182 (0.240)	Data 0.130 (0.178)	Loss 2.2191 (2.5042)	Prec@1 41.016 (39.045)	Prec@5 76.562 (69.004)
Epoch: [85][4970/7045]	Time 0.108 (0.240)	Data 0.055 (0.178)	Loss 2.7512 (2.5043)	Prec@1 33.203 (39.044)	Prec@5 66.016 (69.002)
Epoch: [85][4980/7045]	Time 0.192 (0.240)	Data 0.141 (0.178)	Loss 2.3416 (2.5042)	Prec@1 42.578 (39.045)	Prec@5 71.875 (69.003)
Epoch: [85][4990/7045]	Time 0.119 (0.240)	Data 0.067 (0.178)	Loss 2.5838 (2.5042)	Prec@1 35.938 (39.046)	Prec@5 65.625 (69.002)
Epoch: [85][5000/7045]	Time 0.108 (0.240)	Data 0.055 (0.178)	Loss 2.3410 (2.5042)	Prec@1 44.531 (39.050)	Prec@5 71.875 (69.004)
Epoch: [85][5010/7045]	Time 0.198 (0.240)	Data 0.146 (0.178)	Loss 2.6208 (2.5043)	Prec@1 35.938 (39.048)	Prec@5 67.578 (69.002)
Epoch: [85][5020/7045]	Time 0.103 (0.240)	Data 0.049 (0.178)	Loss 2.4345 (2.5044)	Prec@1 42.188 (39.047)	Prec@5 71.094 (69.000)
Epoch: [85][5030/7045]	Time 0.283 (0.240)	Data 0.231 (0.179)	Loss 2.5328 (2.5043)	Prec@1 39.453 (39.048)	Prec@5 69.922 (69.002)
Epoch: [85][5040/7045]	Time 0.102 (0.240)	Data 0.005 (0.178)	Loss 2.4162 (2.5043)	Prec@1 40.625 (39.049)	Prec@5 72.656 (69.002)
Epoch: [85][5050/7045]	Time 0.320 (0.240)	Data 0.269 (0.179)	Loss 2.4603 (2.5043)	Prec@1 37.891 (39.049)	Prec@5 69.922 (69.004)
Epoch: [85][5060/7045]	Time 0.102 (0.240)	Data 0.005 (0.179)	Loss 2.4826 (2.5044)	Prec@1 39.062 (39.046)	Prec@5 72.266 (69.005)
Epoch: [85][5070/7045]	Time 0.318 (0.240)	Data 0.265 (0.179)	Loss 2.5470 (2.5044)	Prec@1 40.234 (39.045)	Prec@5 66.797 (69.004)
Epoch: [85][5080/7045]	Time 0.102 (0.240)	Data 0.001 (0.179)	Loss 2.7425 (2.5045)	Prec@1 33.594 (39.044)	Prec@5 63.672 (69.004)
Epoch: [85][5090/7045]	Time 0.308 (0.240)	Data 0.256 (0.179)	Loss 2.7903 (2.5045)	Prec@1 35.547 (39.044)	Prec@5 64.062 (69.003)
Epoch: [85][5100/7045]	Time 0.102 (0.240)	Data 0.005 (0.178)	Loss 2.7750 (2.5045)	Prec@1 37.109 (39.045)	Prec@5 64.453 (69.002)
Epoch: [85][5110/7045]	Time 0.367 (0.240)	Data 0.315 (0.179)	Loss 2.6187 (2.5045)	Prec@1 37.891 (39.044)	Prec@5 69.141 (69.003)
Epoch: [85][5120/7045]	Time 0.102 (0.240)	Data 0.005 (0.178)	Loss 2.4125 (2.5044)	Prec@1 41.406 (39.047)	Prec@5 70.312 (69.005)
Epoch: [85][5130/7045]	Time 0.413 (0.240)	Data 0.360 (0.178)	Loss 2.5382 (2.5045)	Prec@1 38.672 (39.044)	Prec@5 70.312 (69.002)
Epoch: [85][5140/7045]	Time 0.102 (0.240)	Data 0.001 (0.178)	Loss 2.5808 (2.5046)	Prec@1 37.891 (39.046)	Prec@5 68.359 (69.003)
Epoch: [85][5150/7045]	Time 0.405 (0.240)	Data 0.352 (0.178)	Loss 2.3536 (2.5046)	Prec@1 38.281 (39.044)	Prec@5 76.172 (69.005)
Epoch: [85][5160/7045]	Time 0.102 (0.240)	Data 0.002 (0.178)	Loss 2.3411 (2.5045)	Prec@1 41.797 (39.045)	Prec@5 72.656 (69.006)
Epoch: [85][5170/7045]	Time 0.441 (0.240)	Data 0.389 (0.178)	Loss 2.5563 (2.5045)	Prec@1 40.234 (39.049)	Prec@5 68.359 (69.006)
Epoch: [85][5180/7045]	Time 0.102 (0.240)	Data 0.004 (0.178)	Loss 2.6317 (2.5045)	Prec@1 41.406 (39.051)	Prec@5 66.797 (69.006)
Epoch: [85][5190/7045]	Time 0.569 (0.240)	Data 0.516 (0.178)	Loss 2.5266 (2.5045)	Prec@1 40.234 (39.051)	Prec@5 67.188 (69.005)
Epoch: [85][5200/7045]	Time 0.102 (0.240)	Data 0.005 (0.178)	Loss 2.6168 (2.5045)	Prec@1 39.844 (39.052)	Prec@5 67.578 (69.006)
Epoch: [85][5210/7045]	Time 0.533 (0.240)	Data 0.480 (0.178)	Loss 2.3332 (2.5044)	Prec@1 40.625 (39.053)	Prec@5 71.484 (69.009)
Epoch: [85][5220/7045]	Time 0.102 (0.240)	Data 0.001 (0.178)	Loss 2.4261 (2.5043)	Prec@1 40.625 (39.053)	Prec@5 68.359 (69.006)
Epoch: [85][5230/7045]	Time 0.537 (0.240)	Data 0.478 (0.178)	Loss 2.4059 (2.5045)	Prec@1 41.016 (39.051)	Prec@5 69.531 (69.005)
Epoch: [85][5240/7045]	Time 0.102 (0.240)	Data 0.003 (0.178)	Loss 2.4821 (2.5045)	Prec@1 36.328 (39.050)	Prec@5 67.578 (69.001)
Epoch: [85][5250/7045]	Time 0.691 (0.240)	Data 0.639 (0.178)	Loss 2.4535 (2.5045)	Prec@1 36.328 (39.049)	Prec@5 68.359 (69.002)
Epoch: [85][5260/7045]	Time 0.109 (0.240)	Data 0.001 (0.178)	Loss 2.3991 (2.5046)	Prec@1 41.797 (39.048)	Prec@5 74.609 (69.000)
Epoch: [85][5270/7045]	Time 0.644 (0.240)	Data 0.587 (0.178)	Loss 2.5008 (2.5047)	Prec@1 41.797 (39.046)	Prec@5 67.578 (68.997)
Epoch: [85][5280/7045]	Time 0.102 (0.240)	Data 0.001 (0.178)	Loss 2.6633 (2.5046)	Prec@1 33.984 (39.048)	Prec@5 64.844 (68.999)
Epoch: [85][5290/7045]	Time 0.562 (0.240)	Data 0.511 (0.178)	Loss 2.6199 (2.5046)	Prec@1 40.625 (39.050)	Prec@5 69.141 (68.999)
Epoch: [85][5300/7045]	Time 0.102 (0.240)	Data 0.004 (0.178)	Loss 2.6759 (2.5047)	Prec@1 35.938 (39.047)	Prec@5 64.844 (68.996)
Epoch: [85][5310/7045]	Time 0.474 (0.240)	Data 0.417 (0.178)	Loss 2.5537 (2.5049)	Prec@1 39.453 (39.046)	Prec@5 67.578 (68.994)
Epoch: [85][5320/7045]	Time 0.102 (0.240)	Data 0.001 (0.178)	Loss 2.7023 (2.5048)	Prec@1 32.031 (39.048)	Prec@5 63.281 (68.995)
Epoch: [85][5330/7045]	Time 0.453 (0.240)	Data 0.395 (0.178)	Loss 2.5441 (2.5048)	Prec@1 39.062 (39.048)	Prec@5 69.141 (68.996)
Epoch: [85][5340/7045]	Time 0.112 (0.240)	Data 0.059 (0.178)	Loss 2.5509 (2.5048)	Prec@1 32.812 (39.048)	Prec@5 66.016 (68.996)
Epoch: [85][5350/7045]	Time 0.494 (0.240)	Data 0.437 (0.178)	Loss 2.5488 (2.5048)	Prec@1 35.156 (39.046)	Prec@5 66.406 (68.997)
Epoch: [85][5360/7045]	Time 0.113 (0.240)	Data 0.060 (0.178)	Loss 2.2313 (2.5047)	Prec@1 43.359 (39.050)	Prec@5 74.219 (68.998)
Epoch: [85][5370/7045]	Time 0.517 (0.240)	Data 0.466 (0.178)	Loss 2.5968 (2.5047)	Prec@1 39.062 (39.051)	Prec@5 61.719 (68.996)
Epoch: [85][5380/7045]	Time 0.377 (0.240)	Data 0.325 (0.178)	Loss 2.6028 (2.5046)	Prec@1 39.844 (39.051)	Prec@5 67.969 (68.996)
Epoch: [85][5390/7045]	Time 0.442 (0.240)	Data 0.391 (0.178)	Loss 2.3658 (2.5046)	Prec@1 45.703 (39.051)	Prec@5 69.141 (68.994)
Epoch: [85][5400/7045]	Time 0.384 (0.240)	Data 0.331 (0.178)	Loss 2.3348 (2.5047)	Prec@1 44.141 (39.049)	Prec@5 73.438 (68.993)
Epoch: [85][5410/7045]	Time 0.131 (0.240)	Data 0.079 (0.178)	Loss 2.4640 (2.5049)	Prec@1 39.062 (39.046)	Prec@5 68.359 (68.989)
Epoch: [85][5420/7045]	Time 0.292 (0.240)	Data 0.239 (0.178)	Loss 2.4327 (2.5050)	Prec@1 41.797 (39.045)	Prec@5 70.312 (68.987)
Epoch: [85][5430/7045]	Time 0.117 (0.240)	Data 0.057 (0.178)	Loss 2.6418 (2.5050)	Prec@1 33.594 (39.045)	Prec@5 68.359 (68.989)
Epoch: [85][5440/7045]	Time 0.133 (0.240)	Data 0.081 (0.178)	Loss 2.5818 (2.5051)	Prec@1 36.328 (39.044)	Prec@5 68.359 (68.988)
Epoch: [85][5450/7045]	Time 0.230 (0.240)	Data 0.171 (0.178)	Loss 2.4844 (2.5051)	Prec@1 42.188 (39.045)	Prec@5 67.188 (68.987)
Epoch: [85][5460/7045]	Time 0.102 (0.240)	Data 0.002 (0.178)	Loss 2.6531 (2.5050)	Prec@1 35.938 (39.046)	Prec@5 66.016 (68.989)
Epoch: [85][5470/7045]	Time 0.248 (0.240)	Data 0.195 (0.178)	Loss 2.6146 (2.5052)	Prec@1 35.938 (39.041)	Prec@5 62.891 (68.986)
Epoch: [85][5480/7045]	Time 0.270 (0.240)	Data 0.218 (0.178)	Loss 2.4984 (2.5052)	Prec@1 39.453 (39.040)	Prec@5 71.875 (68.986)
Epoch: [85][5490/7045]	Time 0.271 (0.240)	Data 0.219 (0.178)	Loss 2.4906 (2.5051)	Prec@1 40.234 (39.041)	Prec@5 66.406 (68.986)
Epoch: [85][5500/7045]	Time 0.466 (0.240)	Data 0.414 (0.178)	Loss 2.5894 (2.5051)	Prec@1 36.719 (39.042)	Prec@5 65.234 (68.988)
Epoch: [85][5510/7045]	Time 0.251 (0.240)	Data 0.199 (0.178)	Loss 2.6699 (2.5051)	Prec@1 31.250 (39.042)	Prec@5 64.844 (68.989)
Epoch: [85][5520/7045]	Time 0.497 (0.240)	Data 0.447 (0.178)	Loss 2.4997 (2.5051)	Prec@1 39.453 (39.040)	Prec@5 71.875 (68.988)
Epoch: [85][5530/7045]	Time 0.135 (0.240)	Data 0.082 (0.178)	Loss 2.4141 (2.5050)	Prec@1 41.406 (39.040)	Prec@5 69.531 (68.989)
Epoch: [85][5540/7045]	Time 0.488 (0.240)	Data 0.437 (0.178)	Loss 2.4549 (2.5050)	Prec@1 39.844 (39.040)	Prec@5 68.359 (68.989)
Epoch: [85][5550/7045]	Time 0.194 (0.240)	Data 0.142 (0.178)	Loss 2.5798 (2.5051)	Prec@1 35.938 (39.038)	Prec@5 68.359 (68.987)
Epoch: [85][5560/7045]	Time 0.398 (0.240)	Data 0.345 (0.178)	Loss 2.5093 (2.5051)	Prec@1 42.969 (39.039)	Prec@5 67.188 (68.986)
Epoch: [85][5570/7045]	Time 0.187 (0.240)	Data 0.135 (0.178)	Loss 2.3403 (2.5053)	Prec@1 43.359 (39.037)	Prec@5 71.875 (68.981)
Epoch: [85][5580/7045]	Time 0.376 (0.240)	Data 0.322 (0.178)	Loss 2.5819 (2.5053)	Prec@1 42.188 (39.038)	Prec@5 67.188 (68.980)
Epoch: [85][5590/7045]	Time 0.253 (0.240)	Data 0.200 (0.178)	Loss 2.6757 (2.5054)	Prec@1 38.281 (39.036)	Prec@5 69.141 (68.979)
Epoch: [85][5600/7045]	Time 0.109 (0.240)	Data 0.001 (0.178)	Loss 2.5154 (2.5054)	Prec@1 36.719 (39.036)	Prec@5 69.922 (68.980)
Epoch: [85][5610/7045]	Time 0.164 (0.240)	Data 0.112 (0.178)	Loss 2.2989 (2.5054)	Prec@1 44.531 (39.034)	Prec@5 71.094 (68.979)
Epoch: [85][5620/7045]	Time 0.266 (0.240)	Data 0.214 (0.178)	Loss 2.3080 (2.5054)	Prec@1 41.797 (39.035)	Prec@5 71.484 (68.980)
Epoch: [85][5630/7045]	Time 0.105 (0.240)	Data 0.051 (0.178)	Loss 2.4335 (2.5055)	Prec@1 41.406 (39.035)	Prec@5 69.141 (68.977)
Epoch: [85][5640/7045]	Time 0.265 (0.240)	Data 0.213 (0.178)	Loss 2.4159 (2.5055)	Prec@1 42.969 (39.036)	Prec@5 70.312 (68.977)
Epoch: [85][5650/7045]	Time 0.131 (0.240)	Data 0.080 (0.178)	Loss 2.7674 (2.5055)	Prec@1 33.984 (39.035)	Prec@5 64.844 (68.978)
Epoch: [85][5660/7045]	Time 0.278 (0.240)	Data 0.226 (0.178)	Loss 2.5103 (2.5056)	Prec@1 38.672 (39.035)	Prec@5 71.094 (68.978)
Epoch: [85][5670/7045]	Time 0.462 (0.240)	Data 0.410 (0.178)	Loss 2.5281 (2.5057)	Prec@1 36.719 (39.033)	Prec@5 72.656 (68.979)
Epoch: [85][5680/7045]	Time 0.120 (0.240)	Data 0.068 (0.178)	Loss 2.6163 (2.5058)	Prec@1 39.453 (39.031)	Prec@5 66.016 (68.974)
Epoch: [85][5690/7045]	Time 0.442 (0.240)	Data 0.390 (0.178)	Loss 2.5538 (2.5058)	Prec@1 37.500 (39.031)	Prec@5 65.234 (68.975)
Epoch: [85][5700/7045]	Time 0.102 (0.240)	Data 0.003 (0.178)	Loss 2.4312 (2.5057)	Prec@1 40.625 (39.032)	Prec@5 69.141 (68.976)
Epoch: [85][5710/7045]	Time 0.442 (0.240)	Data 0.389 (0.178)	Loss 2.6791 (2.5057)	Prec@1 33.203 (39.031)	Prec@5 64.844 (68.977)
Epoch: [85][5720/7045]	Time 0.157 (0.240)	Data 0.105 (0.178)	Loss 2.5357 (2.5057)	Prec@1 37.109 (39.031)	Prec@5 68.359 (68.977)
Epoch: [85][5730/7045]	Time 0.301 (0.240)	Data 0.249 (0.178)	Loss 2.3828 (2.5057)	Prec@1 39.062 (39.032)	Prec@5 72.656 (68.979)
Epoch: [85][5740/7045]	Time 0.139 (0.240)	Data 0.086 (0.178)	Loss 2.5456 (2.5059)	Prec@1 39.453 (39.031)	Prec@5 67.969 (68.975)
Epoch: [85][5750/7045]	Time 0.112 (0.240)	Data 0.059 (0.179)	Loss 2.4511 (2.5059)	Prec@1 42.188 (39.030)	Prec@5 66.406 (68.975)
Epoch: [85][5760/7045]	Time 0.112 (0.240)	Data 0.059 (0.179)	Loss 2.4031 (2.5058)	Prec@1 36.328 (39.029)	Prec@5 68.750 (68.976)
Epoch: [85][5770/7045]	Time 0.108 (0.240)	Data 0.054 (0.179)	Loss 2.5835 (2.5057)	Prec@1 37.109 (39.030)	Prec@5 66.406 (68.979)
Epoch: [85][5780/7045]	Time 0.107 (0.240)	Data 0.054 (0.179)	Loss 2.4338 (2.5055)	Prec@1 41.797 (39.032)	Prec@5 70.312 (68.982)
Epoch: [85][5790/7045]	Time 0.247 (0.240)	Data 0.190 (0.179)	Loss 2.5720 (2.5054)	Prec@1 37.500 (39.034)	Prec@5 66.797 (68.985)
Epoch: [85][5800/7045]	Time 0.102 (0.240)	Data 0.001 (0.179)	Loss 2.6505 (2.5054)	Prec@1 39.062 (39.033)	Prec@5 61.328 (68.984)
Epoch: [85][5810/7045]	Time 0.270 (0.240)	Data 0.212 (0.179)	Loss 2.5982 (2.5054)	Prec@1 32.031 (39.035)	Prec@5 66.797 (68.984)
Epoch: [85][5820/7045]	Time 0.106 (0.240)	Data 0.052 (0.179)	Loss 2.5816 (2.5054)	Prec@1 40.625 (39.034)	Prec@5 67.969 (68.984)
Epoch: [85][5830/7045]	Time 0.256 (0.240)	Data 0.203 (0.179)	Loss 2.5137 (2.5054)	Prec@1 39.844 (39.035)	Prec@5 71.484 (68.984)
Epoch: [85][5840/7045]	Time 0.108 (0.240)	Data 0.055 (0.179)	Loss 2.4072 (2.5054)	Prec@1 40.625 (39.035)	Prec@5 69.922 (68.984)
Epoch: [85][5850/7045]	Time 0.323 (0.240)	Data 0.270 (0.179)	Loss 2.6945 (2.5055)	Prec@1 31.641 (39.034)	Prec@5 63.281 (68.982)
Epoch: [85][5860/7045]	Time 0.317 (0.240)	Data 0.258 (0.179)	Loss 2.6276 (2.5056)	Prec@1 34.766 (39.032)	Prec@5 69.141 (68.982)
Epoch: [85][5870/7045]	Time 0.183 (0.240)	Data 0.131 (0.179)	Loss 2.4980 (2.5055)	Prec@1 39.844 (39.034)	Prec@5 70.312 (68.985)
Epoch: [85][5880/7045]	Time 0.382 (0.240)	Data 0.330 (0.179)	Loss 2.4688 (2.5056)	Prec@1 40.625 (39.033)	Prec@5 69.922 (68.984)
Epoch: [85][5890/7045]	Time 0.205 (0.240)	Data 0.145 (0.179)	Loss 2.4505 (2.5057)	Prec@1 40.234 (39.031)	Prec@5 68.750 (68.984)
Epoch: [85][5900/7045]	Time 0.101 (0.240)	Data 0.049 (0.179)	Loss 2.5440 (2.5057)	Prec@1 39.062 (39.029)	Prec@5 65.625 (68.983)
Epoch: [85][5910/7045]	Time 0.265 (0.240)	Data 0.214 (0.179)	Loss 2.5498 (2.5058)	Prec@1 38.281 (39.028)	Prec@5 69.141 (68.981)
Epoch: [85][5920/7045]	Time 0.440 (0.240)	Data 0.388 (0.179)	Loss 2.2849 (2.5057)	Prec@1 44.141 (39.031)	Prec@5 77.734 (68.983)
Epoch: [85][5930/7045]	Time 0.102 (0.240)	Data 0.003 (0.179)	Loss 2.5851 (2.5057)	Prec@1 35.938 (39.031)	Prec@5 66.797 (68.983)
Epoch: [85][5940/7045]	Time 0.319 (0.240)	Data 0.267 (0.179)	Loss 2.5315 (2.5056)	Prec@1 37.891 (39.032)	Prec@5 70.312 (68.985)
Epoch: [85][5950/7045]	Time 0.329 (0.240)	Data 0.270 (0.179)	Loss 2.6179 (2.5056)	Prec@1 38.281 (39.032)	Prec@5 67.188 (68.985)
Epoch: [85][5960/7045]	Time 0.102 (0.240)	Data 0.001 (0.179)	Loss 2.4674 (2.5057)	Prec@1 37.891 (39.028)	Prec@5 73.047 (68.983)
Epoch: [85][5970/7045]	Time 0.285 (0.240)	Data 0.234 (0.179)	Loss 2.5785 (2.5058)	Prec@1 37.500 (39.027)	Prec@5 68.359 (68.982)
Epoch: [85][5980/7045]	Time 0.412 (0.240)	Data 0.360 (0.179)	Loss 2.5301 (2.5058)	Prec@1 36.719 (39.026)	Prec@5 72.656 (68.983)
Epoch: [85][5990/7045]	Time 0.145 (0.240)	Data 0.086 (0.179)	Loss 2.3514 (2.5058)	Prec@1 46.094 (39.026)	Prec@5 74.609 (68.983)
Epoch: [85][6000/7045]	Time 0.340 (0.240)	Data 0.288 (0.179)	Loss 2.4278 (2.5057)	Prec@1 37.500 (39.024)	Prec@5 72.656 (68.986)
Epoch: [85][6010/7045]	Time 0.278 (0.240)	Data 0.225 (0.179)	Loss 2.4406 (2.5057)	Prec@1 40.625 (39.025)	Prec@5 72.266 (68.988)
Epoch: [85][6020/7045]	Time 0.161 (0.240)	Data 0.102 (0.179)	Loss 2.4049 (2.5057)	Prec@1 44.141 (39.025)	Prec@5 68.750 (68.987)
Epoch: [85][6030/7045]	Time 0.235 (0.240)	Data 0.182 (0.179)	Loss 2.5404 (2.5057)	Prec@1 39.844 (39.025)	Prec@5 65.234 (68.985)
Epoch: [85][6040/7045]	Time 0.125 (0.240)	Data 0.073 (0.179)	Loss 2.5211 (2.5057)	Prec@1 38.281 (39.026)	Prec@5 69.141 (68.987)
Epoch: [85][6050/7045]	Time 0.226 (0.240)	Data 0.175 (0.179)	Loss 2.5972 (2.5057)	Prec@1 39.062 (39.025)	Prec@5 65.625 (68.987)
Epoch: [85][6060/7045]	Time 0.103 (0.240)	Data 0.001 (0.179)	Loss 2.3610 (2.5058)	Prec@1 40.625 (39.025)	Prec@5 72.656 (68.984)
Epoch: [85][6070/7045]	Time 0.488 (0.240)	Data 0.436 (0.179)	Loss 2.6245 (2.5058)	Prec@1 36.328 (39.026)	Prec@5 67.969 (68.982)
Epoch: [85][6080/7045]	Time 0.342 (0.240)	Data 0.291 (0.179)	Loss 2.4489 (2.5059)	Prec@1 36.719 (39.025)	Prec@5 67.969 (68.980)
Epoch: [85][6090/7045]	Time 0.316 (0.240)	Data 0.264 (0.179)	Loss 2.4405 (2.5060)	Prec@1 38.672 (39.023)	Prec@5 71.094 (68.978)
Epoch: [85][6100/7045]	Time 0.339 (0.240)	Data 0.287 (0.179)	Loss 2.6432 (2.5060)	Prec@1 37.891 (39.023)	Prec@5 67.578 (68.978)
Epoch: [85][6110/7045]	Time 0.161 (0.240)	Data 0.109 (0.179)	Loss 2.3693 (2.5060)	Prec@1 37.109 (39.021)	Prec@5 74.219 (68.978)
Epoch: [85][6120/7045]	Time 0.155 (0.240)	Data 0.102 (0.179)	Loss 2.7074 (2.5061)	Prec@1 32.031 (39.021)	Prec@5 66.016 (68.976)
Epoch: [85][6130/7045]	Time 0.102 (0.240)	Data 0.004 (0.179)	Loss 2.5401 (2.5061)	Prec@1 41.016 (39.022)	Prec@5 69.141 (68.976)
Epoch: [85][6140/7045]	Time 0.283 (0.240)	Data 0.231 (0.179)	Loss 2.3755 (2.5061)	Prec@1 41.406 (39.022)	Prec@5 74.219 (68.976)
Epoch: [85][6150/7045]	Time 0.102 (0.240)	Data 0.001 (0.179)	Loss 2.3095 (2.5060)	Prec@1 40.625 (39.024)	Prec@5 69.922 (68.978)
Epoch: [85][6160/7045]	Time 0.350 (0.240)	Data 0.292 (0.179)	Loss 2.7235 (2.5060)	Prec@1 33.594 (39.025)	Prec@5 64.453 (68.977)
Epoch: [85][6170/7045]	Time 0.461 (0.240)	Data 0.409 (0.179)	Loss 2.5052 (2.5060)	Prec@1 41.016 (39.025)	Prec@5 68.750 (68.977)
Epoch: [85][6180/7045]	Time 0.158 (0.240)	Data 0.106 (0.179)	Loss 2.5113 (2.5061)	Prec@1 39.844 (39.023)	Prec@5 70.312 (68.976)
Epoch: [85][6190/7045]	Time 0.314 (0.240)	Data 0.262 (0.179)	Loss 2.6115 (2.5061)	Prec@1 40.625 (39.024)	Prec@5 65.625 (68.975)
Epoch: [85][6200/7045]	Time 0.198 (0.240)	Data 0.140 (0.179)	Loss 2.3337 (2.5060)	Prec@1 41.016 (39.025)	Prec@5 71.094 (68.977)
Epoch: [85][6210/7045]	Time 0.107 (0.240)	Data 0.054 (0.179)	Loss 2.6532 (2.5059)	Prec@1 36.328 (39.027)	Prec@5 62.109 (68.978)
Epoch: [85][6220/7045]	Time 0.339 (0.240)	Data 0.287 (0.179)	Loss 2.4819 (2.5060)	Prec@1 39.453 (39.027)	Prec@5 71.094 (68.978)
Epoch: [85][6230/7045]	Time 0.289 (0.240)	Data 0.231 (0.179)	Loss 2.5082 (2.5060)	Prec@1 40.625 (39.029)	Prec@5 67.578 (68.977)
Epoch: [85][6240/7045]	Time 0.101 (0.240)	Data 0.004 (0.179)	Loss 2.4028 (2.5060)	Prec@1 40.234 (39.028)	Prec@5 69.531 (68.977)
Epoch: [85][6250/7045]	Time 0.334 (0.240)	Data 0.282 (0.179)	Loss 2.5717 (2.5060)	Prec@1 37.500 (39.026)	Prec@5 68.359 (68.977)
Epoch: [85][6260/7045]	Time 0.381 (0.240)	Data 0.322 (0.179)	Loss 2.5639 (2.5060)	Prec@1 35.938 (39.027)	Prec@5 69.531 (68.976)
Epoch: [85][6270/7045]	Time 0.103 (0.240)	Data 0.001 (0.179)	Loss 2.6202 (2.5061)	Prec@1 39.453 (39.025)	Prec@5 66.406 (68.974)
Epoch: [85][6280/7045]	Time 0.279 (0.240)	Data 0.227 (0.179)	Loss 2.7543 (2.5061)	Prec@1 33.984 (39.025)	Prec@5 66.406 (68.974)
Epoch: [85][6290/7045]	Time 0.140 (0.240)	Data 0.089 (0.179)	Loss 2.4513 (2.5061)	Prec@1 39.453 (39.024)	Prec@5 68.750 (68.973)
Epoch: [85][6300/7045]	Time 0.327 (0.240)	Data 0.276 (0.179)	Loss 2.5349 (2.5061)	Prec@1 35.156 (39.025)	Prec@5 66.406 (68.972)
Epoch: [85][6310/7045]	Time 0.173 (0.240)	Data 0.121 (0.179)	Loss 2.4369 (2.5061)	Prec@1 41.797 (39.024)	Prec@5 71.875 (68.972)
Epoch: [85][6320/7045]	Time 0.167 (0.240)	Data 0.115 (0.179)	Loss 2.3418 (2.5061)	Prec@1 37.500 (39.023)	Prec@5 73.438 (68.971)
Epoch: [85][6330/7045]	Time 0.205 (0.240)	Data 0.153 (0.179)	Loss 2.6229 (2.5062)	Prec@1 37.109 (39.021)	Prec@5 68.750 (68.969)
Epoch: [85][6340/7045]	Time 0.132 (0.240)	Data 0.080 (0.179)	Loss 2.6025 (2.5061)	Prec@1 39.453 (39.022)	Prec@5 67.969 (68.970)
Epoch: [85][6350/7045]	Time 0.224 (0.240)	Data 0.173 (0.179)	Loss 2.6039 (2.5061)	Prec@1 35.938 (39.024)	Prec@5 65.234 (68.970)
Epoch: [85][6360/7045]	Time 0.130 (0.240)	Data 0.079 (0.179)	Loss 2.5329 (2.5061)	Prec@1 40.625 (39.023)	Prec@5 67.969 (68.972)
Epoch: [85][6370/7045]	Time 0.145 (0.240)	Data 0.093 (0.179)	Loss 2.4669 (2.5060)	Prec@1 38.672 (39.024)	Prec@5 70.703 (68.974)
Epoch: [85][6380/7045]	Time 0.128 (0.240)	Data 0.076 (0.179)	Loss 2.4074 (2.5060)	Prec@1 44.141 (39.026)	Prec@5 73.047 (68.974)
Epoch: [85][6390/7045]	Time 0.130 (0.240)	Data 0.078 (0.179)	Loss 2.3873 (2.5059)	Prec@1 38.672 (39.025)	Prec@5 72.656 (68.974)
Epoch: [85][6400/7045]	Time 0.274 (0.240)	Data 0.223 (0.179)	Loss 2.4291 (2.5060)	Prec@1 40.625 (39.024)	Prec@5 69.141 (68.972)
Epoch: [85][6410/7045]	Time 0.113 (0.240)	Data 0.060 (0.179)	Loss 2.6508 (2.5061)	Prec@1 41.016 (39.022)	Prec@5 66.406 (68.972)
Epoch: [85][6420/7045]	Time 0.245 (0.240)	Data 0.193 (0.179)	Loss 2.4416 (2.5061)	Prec@1 38.672 (39.023)	Prec@5 69.922 (68.973)
Epoch: [85][6430/7045]	Time 0.177 (0.240)	Data 0.125 (0.179)	Loss 2.4463 (2.5061)	Prec@1 39.844 (39.023)	Prec@5 71.875 (68.973)
Epoch: [85][6440/7045]	Time 0.240 (0.240)	Data 0.189 (0.179)	Loss 2.3995 (2.5060)	Prec@1 41.406 (39.025)	Prec@5 72.266 (68.976)
Epoch: [85][6450/7045]	Time 0.185 (0.240)	Data 0.133 (0.179)	Loss 2.6095 (2.5061)	Prec@1 37.109 (39.023)	Prec@5 66.797 (68.974)
Epoch: [85][6460/7045]	Time 0.267 (0.240)	Data 0.215 (0.179)	Loss 2.2922 (2.5061)	Prec@1 42.578 (39.023)	Prec@5 71.484 (68.974)
Epoch: [85][6470/7045]	Time 0.166 (0.240)	Data 0.115 (0.179)	Loss 2.5874 (2.5060)	Prec@1 37.109 (39.024)	Prec@5 67.969 (68.974)
Epoch: [85][6480/7045]	Time 0.312 (0.240)	Data 0.260 (0.179)	Loss 2.6115 (2.5060)	Prec@1 37.500 (39.024)	Prec@5 67.578 (68.975)
Epoch: [85][6490/7045]	Time 0.174 (0.240)	Data 0.121 (0.179)	Loss 2.6572 (2.5060)	Prec@1 39.062 (39.023)	Prec@5 60.938 (68.972)
Epoch: [85][6500/7045]	Time 0.310 (0.240)	Data 0.258 (0.179)	Loss 2.4913 (2.5060)	Prec@1 41.797 (39.024)	Prec@5 70.703 (68.974)
Epoch: [85][6510/7045]	Time 0.103 (0.240)	Data 0.050 (0.179)	Loss 2.6143 (2.5060)	Prec@1 38.281 (39.024)	Prec@5 65.234 (68.972)
Epoch: [85][6520/7045]	Time 0.333 (0.240)	Data 0.282 (0.179)	Loss 2.4124 (2.5060)	Prec@1 41.406 (39.024)	Prec@5 70.703 (68.973)
Epoch: [85][6530/7045]	Time 0.102 (0.240)	Data 0.007 (0.179)	Loss 2.2804 (2.5059)	Prec@1 43.750 (39.025)	Prec@5 73.047 (68.975)
Epoch: [85][6540/7045]	Time 0.282 (0.240)	Data 0.230 (0.179)	Loss 2.6863 (2.5058)	Prec@1 36.328 (39.027)	Prec@5 65.234 (68.978)
Epoch: [85][6550/7045]	Time 0.103 (0.240)	Data 0.001 (0.179)	Loss 2.5254 (2.5058)	Prec@1 39.844 (39.025)	Prec@5 68.359 (68.979)
Epoch: [85][6560/7045]	Time 0.241 (0.240)	Data 0.188 (0.179)	Loss 2.3999 (2.5057)	Prec@1 44.531 (39.028)	Prec@5 70.312 (68.980)
Epoch: [85][6570/7045]	Time 0.102 (0.240)	Data 0.004 (0.179)	Loss 2.4357 (2.5057)	Prec@1 40.234 (39.029)	Prec@5 70.703 (68.981)
Epoch: [85][6580/7045]	Time 0.311 (0.240)	Data 0.259 (0.179)	Loss 2.3673 (2.5057)	Prec@1 39.844 (39.028)	Prec@5 72.266 (68.981)
Epoch: [85][6590/7045]	Time 0.102 (0.240)	Data 0.003 (0.179)	Loss 2.3371 (2.5057)	Prec@1 44.922 (39.029)	Prec@5 72.656 (68.980)
Epoch: [85][6600/7045]	Time 0.361 (0.240)	Data 0.309 (0.179)	Loss 2.4792 (2.5057)	Prec@1 40.625 (39.029)	Prec@5 70.703 (68.981)
Epoch: [85][6610/7045]	Time 0.121 (0.240)	Data 0.068 (0.179)	Loss 2.6101 (2.5058)	Prec@1 39.062 (39.027)	Prec@5 67.969 (68.978)
Epoch: [85][6620/7045]	Time 0.530 (0.240)	Data 0.478 (0.179)	Loss 2.3052 (2.5058)	Prec@1 41.016 (39.028)	Prec@5 71.875 (68.978)
Epoch: [85][6630/7045]	Time 0.110 (0.240)	Data 0.056 (0.179)	Loss 2.6431 (2.5058)	Prec@1 36.719 (39.029)	Prec@5 68.359 (68.979)
Epoch: [85][6640/7045]	Time 0.406 (0.240)	Data 0.354 (0.179)	Loss 2.4772 (2.5057)	Prec@1 38.672 (39.031)	Prec@5 67.969 (68.980)
Epoch: [85][6650/7045]	Time 0.137 (0.240)	Data 0.086 (0.179)	Loss 2.6260 (2.5057)	Prec@1 39.062 (39.033)	Prec@5 66.406 (68.981)
Epoch: [85][6660/7045]	Time 0.351 (0.240)	Data 0.299 (0.179)	Loss 2.6281 (2.5057)	Prec@1 36.719 (39.034)	Prec@5 64.062 (68.981)
Epoch: [85][6670/7045]	Time 0.112 (0.240)	Data 0.059 (0.179)	Loss 2.7319 (2.5058)	Prec@1 36.328 (39.034)	Prec@5 64.844 (68.980)
Epoch: [85][6680/7045]	Time 0.376 (0.240)	Data 0.317 (0.179)	Loss 2.8148 (2.5060)	Prec@1 32.031 (39.032)	Prec@5 60.547 (68.976)
Epoch: [85][6690/7045]	Time 0.113 (0.240)	Data 0.060 (0.179)	Loss 2.4660 (2.5061)	Prec@1 41.406 (39.031)	Prec@5 71.094 (68.972)
Epoch: [85][6700/7045]	Time 0.480 (0.240)	Data 0.427 (0.179)	Loss 2.7878 (2.5061)	Prec@1 32.812 (39.031)	Prec@5 65.234 (68.973)
Epoch: [85][6710/7045]	Time 0.103 (0.240)	Data 0.049 (0.179)	Loss 2.3731 (2.5062)	Prec@1 41.016 (39.032)	Prec@5 74.609 (68.972)
Epoch: [85][6720/7045]	Time 0.426 (0.240)	Data 0.368 (0.179)	Loss 2.5089 (2.5062)	Prec@1 39.062 (39.032)	Prec@5 72.656 (68.973)
Epoch: [85][6730/7045]	Time 0.112 (0.240)	Data 0.059 (0.179)	Loss 2.5084 (2.5061)	Prec@1 40.625 (39.032)	Prec@5 64.453 (68.974)
Epoch: [85][6740/7045]	Time 0.445 (0.240)	Data 0.393 (0.179)	Loss 2.5093 (2.5061)	Prec@1 40.234 (39.032)	Prec@5 66.406 (68.974)
Epoch: [85][6750/7045]	Time 0.112 (0.240)	Data 0.060 (0.179)	Loss 2.5223 (2.5062)	Prec@1 39.844 (39.031)	Prec@5 66.797 (68.973)
Epoch: [85][6760/7045]	Time 0.410 (0.240)	Data 0.358 (0.179)	Loss 2.6903 (2.5062)	Prec@1 32.812 (39.032)	Prec@5 65.625 (68.973)
Epoch: [85][6770/7045]	Time 0.101 (0.240)	Data 0.001 (0.179)	Loss 2.5223 (2.5062)	Prec@1 37.109 (39.032)	Prec@5 68.750 (68.974)
Epoch: [85][6780/7045]	Time 0.310 (0.240)	Data 0.250 (0.179)	Loss 2.4384 (2.5061)	Prec@1 42.969 (39.033)	Prec@5 69.531 (68.975)
Epoch: [85][6790/7045]	Time 0.113 (0.240)	Data 0.061 (0.179)	Loss 2.6295 (2.5062)	Prec@1 36.719 (39.032)	Prec@5 65.625 (68.975)
Epoch: [85][6800/7045]	Time 0.300 (0.240)	Data 0.242 (0.179)	Loss 2.5787 (2.5062)	Prec@1 33.203 (39.032)	Prec@5 69.531 (68.975)
Epoch: [85][6810/7045]	Time 0.110 (0.240)	Data 0.059 (0.179)	Loss 2.4855 (2.5061)	Prec@1 38.281 (39.034)	Prec@5 70.703 (68.976)
Epoch: [85][6820/7045]	Time 0.380 (0.240)	Data 0.323 (0.179)	Loss 2.3578 (2.5061)	Prec@1 46.875 (39.036)	Prec@5 71.484 (68.977)
Epoch: [85][6830/7045]	Time 0.102 (0.240)	Data 0.004 (0.179)	Loss 2.3160 (2.5060)	Prec@1 44.531 (39.038)	Prec@5 69.141 (68.978)
Epoch: [85][6840/7045]	Time 0.367 (0.240)	Data 0.315 (0.179)	Loss 2.7280 (2.5060)	Prec@1 35.156 (39.037)	Prec@5 64.453 (68.979)
Epoch: [85][6850/7045]	Time 0.103 (0.240)	Data 0.001 (0.179)	Loss 2.4617 (2.5061)	Prec@1 41.016 (39.037)	Prec@5 73.047 (68.978)
Epoch: [85][6860/7045]	Time 0.255 (0.240)	Data 0.202 (0.179)	Loss 2.5925 (2.5061)	Prec@1 39.062 (39.037)	Prec@5 67.188 (68.979)
Epoch: [85][6870/7045]	Time 0.104 (0.240)	Data 0.001 (0.179)	Loss 2.5354 (2.5062)	Prec@1 39.062 (39.037)	Prec@5 67.578 (68.977)
Epoch: [85][6880/7045]	Time 0.224 (0.240)	Data 0.172 (0.179)	Loss 2.3826 (2.5062)	Prec@1 38.672 (39.034)	Prec@5 70.703 (68.975)
Epoch: [85][6890/7045]	Time 0.103 (0.240)	Data 0.001 (0.179)	Loss 2.3039 (2.5062)	Prec@1 41.406 (39.034)	Prec@5 74.219 (68.976)
Epoch: [85][6900/7045]	Time 0.287 (0.240)	Data 0.234 (0.179)	Loss 2.4554 (2.5063)	Prec@1 41.406 (39.032)	Prec@5 70.703 (68.975)
Epoch: [85][6910/7045]	Time 0.102 (0.240)	Data 0.001 (0.179)	Loss 2.6299 (2.5063)	Prec@1 34.766 (39.029)	Prec@5 67.188 (68.974)
Epoch: [85][6920/7045]	Time 0.136 (0.240)	Data 0.084 (0.179)	Loss 2.7494 (2.5064)	Prec@1 36.719 (39.027)	Prec@5 63.281 (68.974)
Epoch: [85][6930/7045]	Time 0.103 (0.240)	Data 0.001 (0.179)	Loss 2.2980 (2.5064)	Prec@1 41.016 (39.029)	Prec@5 71.484 (68.975)
Epoch: [85][6940/7045]	Time 0.133 (0.240)	Data 0.079 (0.179)	Loss 2.3232 (2.5064)	Prec@1 40.625 (39.027)	Prec@5 72.266 (68.975)
Epoch: [85][6950/7045]	Time 0.103 (0.240)	Data 0.002 (0.179)	Loss 2.6065 (2.5063)	Prec@1 37.109 (39.029)	Prec@5 67.188 (68.977)
Epoch: [85][6960/7045]	Time 0.108 (0.240)	Data 0.006 (0.179)	Loss 2.3720 (2.5062)	Prec@1 38.281 (39.031)	Prec@5 73.047 (68.979)
Epoch: [85][6970/7045]	Time 0.101 (0.240)	Data 0.001 (0.179)	Loss 2.4209 (2.5062)	Prec@1 41.016 (39.031)	Prec@5 69.922 (68.979)
Epoch: [85][6980/7045]	Time 0.109 (0.240)	Data 0.004 (0.179)	Loss 2.3686 (2.5062)	Prec@1 42.578 (39.031)	Prec@5 70.312 (68.978)
Epoch: [85][6990/7045]	Time 0.102 (0.240)	Data 0.001 (0.179)	Loss 2.4289 (2.5062)	Prec@1 39.844 (39.029)	Prec@5 70.312 (68.976)
Epoch: [85][7000/7045]	Time 0.116 (0.240)	Data 0.056 (0.179)	Loss 2.2313 (2.5062)	Prec@1 44.141 (39.028)	Prec@5 71.094 (68.976)
Epoch: [85][7010/7045]	Time 0.102 (0.240)	Data 0.002 (0.179)	Loss 2.2595 (2.5062)	Prec@1 45.703 (39.028)	Prec@5 75.391 (68.977)
Epoch: [85][7020/7045]	Time 0.142 (0.240)	Data 0.089 (0.179)	Loss 2.5451 (2.5062)	Prec@1 39.844 (39.028)	Prec@5 66.797 (68.979)
Epoch: [85][7030/7045]	Time 0.102 (0.240)	Data 0.001 (0.179)	Loss 2.4842 (2.5062)	Prec@1 39.844 (39.026)	Prec@5 70.703 (68.978)
Epoch: [85][7040/7045]	Time 0.111 (0.240)	Data 0.058 (0.179)	Loss 2.5812 (2.5063)	Prec@1 37.891 (39.026)	Prec@5 68.750 (68.976)
Test: [0/143]	Time 1.343 (1.343)	Loss 2.1683 (2.1683)	Prec@1 47.266 (47.266)	Prec@5 75.781 (75.781)
Test: [10/143]	Time 0.198 (0.254)	Loss 1.6173 (2.0092)	Prec@1 59.375 (49.325)	Prec@5 83.984 (79.688)
Test: [20/143]	Time 0.247 (0.221)	Loss 2.1127 (1.9680)	Prec@1 47.656 (49.144)	Prec@5 79.297 (80.134)
Test: [30/143]	Time 0.153 (0.201)	Loss 2.3326 (2.0029)	Prec@1 48.047 (48.866)	Prec@5 68.750 (78.805)
Test: [40/143]	Time 0.049 (0.198)	Loss 2.8367 (2.0507)	Prec@1 23.047 (47.618)	Prec@5 64.453 (77.792)
Test: [50/143]	Time 0.115 (0.189)	Loss 1.9049 (2.0935)	Prec@1 46.484 (46.170)	Prec@5 81.641 (77.482)
Test: [60/143]	Time 0.063 (0.187)	Loss 2.2622 (2.0791)	Prec@1 40.234 (46.510)	Prec@5 75.391 (77.696)
Test: [70/143]	Time 0.156 (0.185)	Loss 2.9063 (2.0753)	Prec@1 25.781 (46.710)	Prec@5 61.328 (77.740)
Test: [80/143]	Time 0.051 (0.182)	Loss 1.9893 (2.0647)	Prec@1 49.219 (47.000)	Prec@5 80.469 (78.033)
Test: [90/143]	Time 0.435 (0.184)	Loss 1.6673 (2.0565)	Prec@1 56.641 (47.248)	Prec@5 87.891 (78.177)
Test: [100/143]	Time 0.281 (0.182)	Loss 1.9668 (2.0576)	Prec@1 47.656 (47.072)	Prec@5 84.375 (78.311)
Test: [110/143]	Time 0.214 (0.180)	Loss 1.7955 (2.0521)	Prec@1 54.297 (47.435)	Prec@5 83.203 (78.438)
Test: [120/143]	Time 0.357 (0.180)	Loss 1.7534 (2.0454)	Prec@1 58.203 (47.685)	Prec@5 84.766 (78.522)
Test: [130/143]	Time 0.050 (0.179)	Loss 1.5815 (2.0568)	Prec@1 64.844 (47.489)	Prec@5 80.859 (78.277)
Test: [140/143]	Time 0.330 (0.179)	Loss 3.0156 (2.0811)	Prec@1 25.000 (46.894)	Prec@5 64.453 (77.862)
 * Prec@1 46.945 Prec@5 77.874
Epoch: [86][0/7045]	Time 2.380 (2.380)	Data 2.324 (2.324)	Loss 2.5839 (2.5839)	Prec@1 37.109 (37.109)	Prec@5 65.625 (65.625)
Epoch: [86][10/7045]	Time 0.157 (0.411)	Data 0.106 (0.331)	Loss 2.5190 (2.5237)	Prec@1 38.281 (38.956)	Prec@5 69.531 (68.040)
Epoch: [86][20/7045]	Time 0.231 (0.339)	Data 0.179 (0.265)	Loss 2.5501 (2.5035)	Prec@1 39.062 (39.695)	Prec@5 68.750 (68.638)
Epoch: [86][30/7045]	Time 0.101 (0.310)	Data 0.001 (0.234)	Loss 2.5831 (2.4952)	Prec@1 35.938 (39.793)	Prec@5 64.844 (68.561)
Epoch: [86][40/7045]	Time 0.111 (0.292)	Data 0.059 (0.220)	Loss 2.5879 (2.5084)	Prec@1 39.844 (39.301)	Prec@5 66.016 (68.740)
Epoch: [86][50/7045]	Time 0.600 (0.288)	Data 0.549 (0.215)	Loss 2.5344 (2.5157)	Prec@1 38.672 (38.963)	Prec@5 69.141 (68.390)
Epoch: [86][60/7045]	Time 0.101 (0.275)	Data 0.002 (0.203)	Loss 2.6380 (2.5129)	Prec@1 39.453 (39.146)	Prec@5 64.844 (68.462)
Epoch: [86][70/7045]	Time 0.107 (0.275)	Data 0.055 (0.202)	Loss 2.5059 (2.5059)	Prec@1 38.281 (39.305)	Prec@5 66.797 (68.739)
Epoch: [86][80/7045]	Time 0.282 (0.269)	Data 0.230 (0.197)	Loss 2.2662 (2.5040)	Prec@1 44.141 (39.352)	Prec@5 75.000 (68.914)
Epoch: [86][90/7045]	Time 0.102 (0.270)	Data 0.001 (0.198)	Loss 2.4146 (2.5057)	Prec@1 40.234 (39.153)	Prec@5 72.656 (69.012)
Epoch: [86][100/7045]	Time 0.293 (0.266)	Data 0.243 (0.195)	Loss 2.4325 (2.5013)	Prec@1 45.312 (39.256)	Prec@5 68.359 (69.048)
Epoch: [86][110/7045]	Time 0.103 (0.263)	Data 0.001 (0.191)	Loss 2.3841 (2.5013)	Prec@1 39.062 (39.238)	Prec@5 70.312 (69.039)
Epoch: [86][120/7045]	Time 0.141 (0.262)	Data 0.090 (0.191)	Loss 2.5088 (2.4985)	Prec@1 37.891 (39.311)	Prec@5 70.703 (69.092)
Epoch: [86][130/7045]	Time 0.717 (0.263)	Data 0.659 (0.192)	Loss 2.5148 (2.4980)	Prec@1 42.969 (39.325)	Prec@5 66.797 (69.066)
Epoch: [86][140/7045]	Time 0.102 (0.260)	Data 0.001 (0.188)	Loss 2.5361 (2.5012)	Prec@1 39.844 (39.201)	Prec@5 68.750 (68.958)
Epoch: [86][150/7045]	Time 0.140 (0.259)	Data 0.082 (0.188)	Loss 2.5141 (2.5024)	Prec@1 41.016 (39.197)	Prec@5 68.750 (68.941)
Epoch: [86][160/7045]	Time 0.200 (0.258)	Data 0.148 (0.186)	Loss 2.3920 (2.5007)	Prec@1 38.672 (39.215)	Prec@5 75.000 (69.012)
Epoch: [86][170/7045]	Time 0.142 (0.257)	Data 0.084 (0.187)	Loss 2.5666 (2.5007)	Prec@1 35.547 (39.170)	Prec@5 67.188 (69.017)
Epoch: [86][180/7045]	Time 0.514 (0.258)	Data 0.462 (0.187)	Loss 2.3364 (2.4959)	Prec@1 41.797 (39.315)	Prec@5 73.047 (69.115)
Epoch: [86][190/7045]	Time 0.102 (0.255)	Data 0.045 (0.185)	Loss 2.7296 (2.4978)	Prec@1 36.328 (39.296)	Prec@5 64.453 (69.081)
Epoch: [86][200/7045]	Time 0.107 (0.257)	Data 0.001 (0.186)	Loss 2.6329 (2.5002)	Prec@1 34.766 (39.212)	Prec@5 66.016 (69.047)
Epoch: [86][210/7045]	Time 0.102 (0.255)	Data 0.001 (0.184)	Loss 2.4697 (2.5003)	Prec@1 37.891 (39.161)	Prec@5 68.359 (69.030)
Epoch: [86][220/7045]	Time 0.126 (0.254)	Data 0.075 (0.184)	Loss 2.4458 (2.4971)	Prec@1 38.281 (39.253)	Prec@5 72.266 (69.073)
Epoch: [86][230/7045]	Time 0.512 (0.255)	Data 0.460 (0.185)	Loss 2.6689 (2.4968)	Prec@1 36.719 (39.235)	Prec@5 63.672 (69.095)
Epoch: [86][240/7045]	Time 0.102 (0.253)	Data 0.049 (0.184)	Loss 2.5995 (2.4957)	Prec@1 34.766 (39.187)	Prec@5 66.016 (69.102)
Epoch: [86][250/7045]	Time 0.200 (0.254)	Data 0.143 (0.185)	Loss 2.3106 (2.4946)	Prec@1 41.016 (39.199)	Prec@5 69.922 (69.088)
Epoch: [86][260/7045]	Time 0.432 (0.254)	Data 0.369 (0.185)	Loss 2.3704 (2.4956)	Prec@1 43.750 (39.188)	Prec@5 72.656 (69.114)
Epoch: [86][270/7045]	Time 0.102 (0.253)	Data 0.007 (0.184)	Loss 2.5866 (2.4946)	Prec@1 39.844 (39.188)	Prec@5 65.625 (69.131)
Epoch: [86][280/7045]	Time 0.103 (0.253)	Data 0.005 (0.184)	Loss 2.3017 (2.4959)	Prec@1 39.062 (39.138)	Prec@5 71.484 (69.084)
Epoch: [86][290/7045]	Time 0.102 (0.253)	Data 0.001 (0.183)	Loss 2.5368 (2.4975)	Prec@1 42.969 (39.122)	Prec@5 68.359 (69.052)
Epoch: [86][300/7045]	Time 0.373 (0.253)	Data 0.322 (0.183)	Loss 2.4720 (2.4984)	Prec@1 38.672 (39.100)	Prec@5 71.094 (69.041)
Epoch: [86][310/7045]	Time 0.412 (0.253)	Data 0.360 (0.183)	Loss 2.6079 (2.4973)	Prec@1 37.109 (39.137)	Prec@5 70.312 (69.085)
Epoch: [86][320/7045]	Time 0.102 (0.252)	Data 0.003 (0.182)	Loss 2.6455 (2.4966)	Prec@1 39.844 (39.183)	Prec@5 68.359 (69.099)
Epoch: [86][330/7045]	Time 0.570 (0.253)	Data 0.510 (0.183)	Loss 2.4901 (2.4950)	Prec@1 39.844 (39.249)	Prec@5 68.359 (69.097)
Epoch: [86][340/7045]	Time 0.103 (0.253)	Data 0.001 (0.183)	Loss 2.5057 (2.4949)	Prec@1 37.500 (39.245)	Prec@5 70.312 (69.109)
Epoch: [86][350/7045]	Time 0.103 (0.252)	Data 0.005 (0.182)	Loss 2.2844 (2.4954)	Prec@1 45.312 (39.214)	Prec@5 73.047 (69.109)
Epoch: [86][360/7045]	Time 0.119 (0.252)	Data 0.058 (0.183)	Loss 2.5163 (2.4962)	Prec@1 38.672 (39.188)	Prec@5 72.656 (69.101)
Epoch: [86][370/7045]	Time 0.148 (0.252)	Data 0.097 (0.182)	Loss 2.4043 (2.4951)	Prec@1 41.406 (39.208)	Prec@5 70.312 (69.130)
Epoch: [86][380/7045]	Time 0.126 (0.252)	Data 0.075 (0.182)	Loss 2.5848 (2.4966)	Prec@1 35.156 (39.178)	Prec@5 64.844 (69.090)
Epoch: [86][390/7045]	Time 0.469 (0.252)	Data 0.417 (0.183)	Loss 2.4349 (2.4962)	Prec@1 41.016 (39.201)	Prec@5 68.750 (69.086)
Epoch: [86][400/7045]	Time 0.102 (0.253)	Data 0.001 (0.183)	Loss 2.9068 (2.4975)	Prec@1 29.688 (39.193)	Prec@5 60.156 (69.070)
Epoch: [86][410/7045]	Time 0.102 (0.252)	Data 0.001 (0.183)	Loss 2.4642 (2.4974)	Prec@1 42.188 (39.206)	Prec@5 68.359 (69.065)
Epoch: [86][420/7045]	Time 0.235 (0.252)	Data 0.185 (0.184)	Loss 2.5935 (2.4993)	Prec@1 36.328 (39.192)	Prec@5 67.578 (69.004)
Epoch: [86][430/7045]	Time 0.102 (0.253)	Data 0.001 (0.183)	Loss 2.6680 (2.4988)	Prec@1 35.938 (39.213)	Prec@5 66.406 (69.026)
Epoch: [86][440/7045]	Time 0.102 (0.253)	Data 0.001 (0.184)	Loss 2.3632 (2.4997)	Prec@1 42.578 (39.220)	Prec@5 71.875 (69.029)
Epoch: [86][450/7045]	Time 0.101 (0.253)	Data 0.001 (0.183)	Loss 2.2097 (2.4988)	Prec@1 44.531 (39.235)	Prec@5 76.172 (69.051)
Epoch: [86][460/7045]	Time 0.108 (0.253)	Data 0.001 (0.184)	Loss 2.5334 (2.4986)	Prec@1 38.672 (39.273)	Prec@5 68.750 (69.056)
Epoch: [86][470/7045]	Time 0.166 (0.252)	Data 0.115 (0.184)	Loss 2.7700 (2.5009)	Prec@1 35.938 (39.243)	Prec@5 67.188 (69.010)
Epoch: [86][480/7045]	Time 0.108 (0.253)	Data 0.001 (0.184)	Loss 2.6074 (2.5008)	Prec@1 36.328 (39.251)	Prec@5 67.578 (69.018)
Epoch: [86][490/7045]	Time 0.102 (0.253)	Data 0.001 (0.184)	Loss 2.7198 (2.5019)	Prec@1 35.938 (39.232)	Prec@5 63.281 (68.988)
Epoch: [86][500/7045]	Time 0.316 (0.252)	Data 0.264 (0.183)	Loss 2.6735 (2.5011)	Prec@1 34.766 (39.229)	Prec@5 66.406 (69.014)
Epoch: [86][510/7045]	Time 0.116 (0.252)	Data 0.062 (0.183)	Loss 2.5861 (2.5011)	Prec@1 35.938 (39.232)	Prec@5 70.703 (69.030)
Epoch: [86][520/7045]	Time 0.316 (0.252)	Data 0.264 (0.184)	Loss 2.6601 (2.5011)	Prec@1 34.375 (39.215)	Prec@5 66.016 (69.042)
Epoch: [86][530/7045]	Time 0.338 (0.252)	Data 0.286 (0.184)	Loss 2.2389 (2.4996)	Prec@1 47.266 (39.255)	Prec@5 75.000 (69.087)
Epoch: [86][540/7045]	Time 0.102 (0.252)	Data 0.008 (0.183)	Loss 2.8844 (2.5004)	Prec@1 29.688 (39.231)	Prec@5 63.672 (69.076)
Epoch: [86][550/7045]	Time 0.103 (0.252)	Data 0.001 (0.183)	Loss 2.6805 (2.5008)	Prec@1 30.859 (39.228)	Prec@5 66.406 (69.070)
Epoch: [86][560/7045]	Time 0.340 (0.252)	Data 0.288 (0.183)	Loss 2.4796 (2.5007)	Prec@1 39.844 (39.214)	Prec@5 66.797 (69.086)
Epoch: [86][570/7045]	Time 0.102 (0.252)	Data 0.001 (0.183)	Loss 2.3221 (2.5013)	Prec@1 44.922 (39.210)	Prec@5 71.875 (69.077)
Epoch: [86][580/7045]	Time 0.107 (0.252)	Data 0.054 (0.183)	Loss 2.3951 (2.5009)	Prec@1 37.109 (39.207)	Prec@5 72.656 (69.074)
Epoch: [86][590/7045]	Time 0.109 (0.252)	Data 0.001 (0.183)	Loss 2.3256 (2.5006)	Prec@1 40.625 (39.209)	Prec@5 74.609 (69.086)
Epoch: [86][600/7045]	Time 0.187 (0.252)	Data 0.135 (0.183)	Loss 2.4894 (2.5010)	Prec@1 42.578 (39.198)	Prec@5 68.359 (69.078)
Epoch: [86][610/7045]	Time 0.102 (0.252)	Data 0.001 (0.182)	Loss 2.3893 (2.5005)	Prec@1 44.141 (39.224)	Prec@5 73.828 (69.095)
Epoch: [86][620/7045]	Time 0.102 (0.251)	Data 0.001 (0.182)	Loss 2.5577 (2.5011)	Prec@1 35.938 (39.224)	Prec@5 67.578 (69.077)
Epoch: [86][630/7045]	Time 0.614 (0.252)	Data 0.562 (0.183)	Loss 2.5145 (2.4993)	Prec@1 37.891 (39.274)	Prec@5 69.922 (69.113)
Epoch: [86][640/7045]	Time 0.341 (0.251)	Data 0.288 (0.182)	Loss 2.5499 (2.4993)	Prec@1 38.281 (39.270)	Prec@5 68.359 (69.102)
Epoch: [86][650/7045]	Time 0.107 (0.251)	Data 0.055 (0.182)	Loss 2.1699 (2.4993)	Prec@1 42.969 (39.253)	Prec@5 75.000 (69.098)
Epoch: [86][660/7045]	Time 0.101 (0.251)	Data 0.001 (0.182)	Loss 2.5077 (2.4998)	Prec@1 36.328 (39.254)	Prec@5 71.094 (69.103)
Epoch: [86][670/7045]	Time 0.109 (0.251)	Data 0.057 (0.182)	Loss 2.5238 (2.5001)	Prec@1 40.625 (39.249)	Prec@5 69.141 (69.091)
Epoch: [86][680/7045]	Time 0.625 (0.251)	Data 0.573 (0.182)	Loss 2.5702 (2.5002)	Prec@1 41.016 (39.265)	Prec@5 64.453 (69.079)
Epoch: [86][690/7045]	Time 0.188 (0.251)	Data 0.137 (0.182)	Loss 2.5191 (2.4998)	Prec@1 41.797 (39.281)	Prec@5 69.141 (69.081)
Epoch: [86][700/7045]	Time 0.313 (0.251)	Data 0.255 (0.182)	Loss 2.4841 (2.5002)	Prec@1 38.281 (39.275)	Prec@5 66.797 (69.072)
Epoch: [86][710/7045]	Time 0.343 (0.250)	Data 0.291 (0.182)	Loss 2.3281 (2.5009)	Prec@1 42.969 (39.269)	Prec@5 69.922 (69.057)
Epoch: [86][720/7045]	Time 0.101 (0.250)	Data 0.008 (0.182)	Loss 2.5441 (2.5011)	Prec@1 37.109 (39.245)	Prec@5 67.969 (69.053)
Epoch: [86][730/7045]	Time 0.102 (0.250)	Data 0.001 (0.181)	Loss 2.5579 (2.5021)	Prec@1 38.672 (39.229)	Prec@5 68.750 (69.045)
Epoch: [86][740/7045]	Time 0.108 (0.250)	Data 0.057 (0.181)	Loss 2.3068 (2.5021)	Prec@1 42.578 (39.227)	Prec@5 71.094 (69.038)
Epoch: [86][750/7045]	Time 0.603 (0.250)	Data 0.550 (0.182)	Loss 2.3742 (2.5022)	Prec@1 39.062 (39.223)	Prec@5 69.141 (69.033)
Epoch: [86][760/7045]	Time 0.101 (0.250)	Data 0.006 (0.181)	Loss 2.4404 (2.5024)	Prec@1 37.500 (39.203)	Prec@5 67.969 (69.035)
Epoch: [86][770/7045]	Time 0.183 (0.250)	Data 0.132 (0.182)	Loss 2.4333 (2.5023)	Prec@1 39.844 (39.205)	Prec@5 69.141 (69.039)
Epoch: [86][780/7045]	Time 0.332 (0.250)	Data 0.280 (0.182)	Loss 2.4056 (2.5020)	Prec@1 40.234 (39.211)	Prec@5 71.875 (69.047)
Epoch: [86][790/7045]	Time 0.228 (0.250)	Data 0.176 (0.182)	Loss 2.4716 (2.5028)	Prec@1 35.156 (39.199)	Prec@5 69.141 (69.031)
Epoch: [86][800/7045]	Time 0.521 (0.250)	Data 0.469 (0.182)	Loss 2.4367 (2.5028)	Prec@1 40.234 (39.194)	Prec@5 69.141 (69.035)
Epoch: [86][810/7045]	Time 0.120 (0.250)	Data 0.068 (0.182)	Loss 2.5297 (2.5024)	Prec@1 40.234 (39.194)	Prec@5 67.969 (69.039)
Epoch: [86][820/7045]	Time 0.101 (0.250)	Data 0.006 (0.182)	Loss 2.2930 (2.5017)	Prec@1 44.922 (39.205)	Prec@5 74.219 (69.049)
Epoch: [86][830/7045]	Time 0.205 (0.250)	Data 0.152 (0.182)	Loss 2.5041 (2.5016)	Prec@1 39.453 (39.212)	Prec@5 69.531 (69.061)
Epoch: [86][840/7045]	Time 0.102 (0.250)	Data 0.013 (0.182)	Loss 2.4757 (2.5005)	Prec@1 36.719 (39.234)	Prec@5 69.141 (69.086)
Epoch: [86][850/7045]	Time 0.102 (0.250)	Data 0.006 (0.182)	Loss 2.4695 (2.5013)	Prec@1 39.844 (39.225)	Prec@5 68.750 (69.073)
Epoch: [86][860/7045]	Time 0.103 (0.249)	Data 0.001 (0.181)	Loss 2.6122 (2.5012)	Prec@1 36.719 (39.231)	Prec@5 66.797 (69.073)
Epoch: [86][870/7045]	Time 0.250 (0.249)	Data 0.192 (0.181)	Loss 2.4551 (2.5016)	Prec@1 42.969 (39.223)	Prec@5 71.094 (69.063)
Epoch: [86][880/7045]	Time 0.149 (0.249)	Data 0.097 (0.181)	Loss 2.6769 (2.5021)	Prec@1 39.453 (39.223)	Prec@5 66.406 (69.057)
Epoch: [86][890/7045]	Time 0.236 (0.249)	Data 0.178 (0.181)	Loss 2.6121 (2.5023)	Prec@1 41.406 (39.221)	Prec@5 65.625 (69.042)
Epoch: [86][900/7045]	Time 0.541 (0.249)	Data 0.481 (0.182)	Loss 2.6659 (2.5030)	Prec@1 39.453 (39.205)	Prec@5 66.797 (69.014)
Epoch: [86][910/7045]	Time 0.135 (0.249)	Data 0.073 (0.181)	Loss 2.5679 (2.5024)	Prec@1 37.109 (39.216)	Prec@5 68.359 (69.026)
Epoch: [86][920/7045]	Time 0.179 (0.249)	Data 0.127 (0.181)	Loss 2.5697 (2.5023)	Prec@1 35.156 (39.217)	Prec@5 68.359 (69.026)
Epoch: [86][930/7045]	Time 0.102 (0.249)	Data 0.001 (0.181)	Loss 2.4283 (2.5022)	Prec@1 39.844 (39.204)	Prec@5 70.703 (69.027)
Epoch: [86][940/7045]	Time 0.324 (0.249)	Data 0.274 (0.181)	Loss 2.5009 (2.5022)	Prec@1 41.797 (39.203)	Prec@5 67.969 (69.026)
Epoch: [86][950/7045]	Time 0.499 (0.249)	Data 0.448 (0.181)	Loss 2.4414 (2.5024)	Prec@1 41.797 (39.203)	Prec@5 74.219 (69.028)
Epoch: [86][960/7045]	Time 0.102 (0.249)	Data 0.005 (0.181)	Loss 2.6414 (2.5027)	Prec@1 37.109 (39.195)	Prec@5 64.062 (69.032)
Epoch: [86][970/7045]	Time 0.108 (0.249)	Data 0.001 (0.181)	Loss 2.5176 (2.5026)	Prec@1 39.844 (39.189)	Prec@5 68.359 (69.029)
Epoch: [86][980/7045]	Time 0.312 (0.249)	Data 0.259 (0.181)	Loss 2.3010 (2.5021)	Prec@1 42.969 (39.201)	Prec@5 73.438 (69.045)
Epoch: [86][990/7045]	Time 0.102 (0.249)	Data 0.001 (0.181)	Loss 2.3969 (2.5021)	Prec@1 40.234 (39.213)	Prec@5 73.828 (69.049)
Epoch: [86][1000/7045]	Time 0.102 (0.249)	Data 0.001 (0.181)	Loss 2.4989 (2.5025)	Prec@1 38.672 (39.205)	Prec@5 69.922 (69.036)
Epoch: [86][1010/7045]	Time 0.102 (0.249)	Data 0.007 (0.181)	Loss 2.5093 (2.5029)	Prec@1 37.500 (39.194)	Prec@5 68.750 (69.033)
Epoch: [86][1020/7045]	Time 0.372 (0.249)	Data 0.320 (0.181)	Loss 2.5371 (2.5027)	Prec@1 38.281 (39.190)	Prec@5 66.016 (69.041)
Epoch: [86][1030/7045]	Time 0.371 (0.249)	Data 0.319 (0.181)	Loss 2.4952 (2.5028)	Prec@1 39.062 (39.185)	Prec@5 67.969 (69.030)
Epoch: [86][1040/7045]	Time 0.102 (0.249)	Data 0.010 (0.181)	Loss 2.2088 (2.5022)	Prec@1 42.969 (39.197)	Prec@5 76.953 (69.049)
Epoch: [86][1050/7045]	Time 0.431 (0.249)	Data 0.378 (0.181)	Loss 2.4815 (2.5020)	Prec@1 41.406 (39.195)	Prec@5 70.312 (69.059)
Epoch: [86][1060/7045]	Time 0.458 (0.249)	Data 0.407 (0.181)	Loss 2.2427 (2.5015)	Prec@1 43.750 (39.202)	Prec@5 75.000 (69.070)
Epoch: [86][1070/7045]	Time 0.102 (0.249)	Data 0.001 (0.181)	Loss 2.4654 (2.5010)	Prec@1 41.797 (39.213)	Prec@5 70.703 (69.080)
Epoch: [86][1080/7045]	Time 0.103 (0.249)	Data 0.001 (0.181)	Loss 2.6384 (2.5013)	Prec@1 35.938 (39.206)	Prec@5 66.016 (69.079)
Epoch: [86][1090/7045]	Time 0.111 (0.249)	Data 0.059 (0.181)	Loss 2.5204 (2.5010)	Prec@1 37.500 (39.213)	Prec@5 68.750 (69.086)
Epoch: [86][1100/7045]	Time 0.477 (0.249)	Data 0.419 (0.181)	Loss 2.4832 (2.5013)	Prec@1 41.016 (39.197)	Prec@5 69.922 (69.077)
Epoch: [86][1110/7045]	Time 0.316 (0.249)	Data 0.264 (0.181)	Loss 2.5681 (2.5014)	Prec@1 35.156 (39.194)	Prec@5 67.578 (69.083)
Epoch: [86][1120/7045]	Time 0.251 (0.249)	Data 0.199 (0.181)	Loss 2.4838 (2.5016)	Prec@1 36.719 (39.186)	Prec@5 67.969 (69.080)
Epoch: [86][1130/7045]	Time 0.245 (0.249)	Data 0.194 (0.181)	Loss 2.6478 (2.5019)	Prec@1 34.766 (39.177)	Prec@5 66.016 (69.073)
Epoch: [86][1140/7045]	Time 0.102 (0.249)	Data 0.001 (0.181)	Loss 2.4761 (2.5021)	Prec@1 35.938 (39.170)	Prec@5 68.750 (69.062)
Epoch: [86][1150/7045]	Time 0.180 (0.249)	Data 0.127 (0.181)	Loss 2.5168 (2.5030)	Prec@1 41.016 (39.160)	Prec@5 70.703 (69.048)
Epoch: [86][1160/7045]	Time 0.110 (0.248)	Data 0.058 (0.181)	Loss 2.4438 (2.5033)	Prec@1 38.672 (39.154)	Prec@5 73.828 (69.050)
Epoch: [86][1170/7045]	Time 0.103 (0.248)	Data 0.045 (0.181)	Loss 2.5490 (2.5041)	Prec@1 39.062 (39.141)	Prec@5 68.359 (69.038)
Epoch: [86][1180/7045]	Time 0.375 (0.249)	Data 0.318 (0.181)	Loss 2.5675 (2.5046)	Prec@1 37.891 (39.130)	Prec@5 67.969 (69.023)
Epoch: [86][1190/7045]	Time 0.108 (0.248)	Data 0.054 (0.181)	Loss 2.5162 (2.5044)	Prec@1 42.188 (39.130)	Prec@5 71.484 (69.032)
Epoch: [86][1200/7045]	Time 0.161 (0.248)	Data 0.109 (0.181)	Loss 2.6169 (2.5047)	Prec@1 35.938 (39.119)	Prec@5 66.797 (69.023)
Epoch: [86][1210/7045]	Time 0.371 (0.248)	Data 0.320 (0.181)	Loss 2.4014 (2.5044)	Prec@1 44.141 (39.130)	Prec@5 69.141 (69.027)
Epoch: [86][1220/7045]	Time 0.102 (0.249)	Data 0.001 (0.181)	Loss 2.5660 (2.5040)	Prec@1 38.281 (39.128)	Prec@5 67.188 (69.036)
Epoch: [86][1230/7045]	Time 0.201 (0.248)	Data 0.150 (0.181)	Loss 2.4249 (2.5039)	Prec@1 38.281 (39.128)	Prec@5 68.359 (69.032)
Epoch: [86][1240/7045]	Time 0.109 (0.248)	Data 0.057 (0.181)	Loss 2.5203 (2.5034)	Prec@1 36.719 (39.140)	Prec@5 66.797 (69.041)
Epoch: [86][1250/7045]	Time 0.163 (0.248)	Data 0.110 (0.181)	Loss 2.5236 (2.5033)	Prec@1 38.672 (39.138)	Prec@5 68.750 (69.042)
Epoch: [86][1260/7045]	Time 0.374 (0.248)	Data 0.322 (0.181)	Loss 2.5687 (2.5036)	Prec@1 37.500 (39.133)	Prec@5 67.578 (69.041)
Epoch: [86][1270/7045]	Time 0.103 (0.248)	Data 0.001 (0.181)	Loss 2.6003 (2.5033)	Prec@1 39.453 (39.132)	Prec@5 70.703 (69.054)
Epoch: [86][1280/7045]	Time 0.107 (0.248)	Data 0.054 (0.181)	Loss 2.8647 (2.5033)	Prec@1 33.594 (39.131)	Prec@5 60.156 (69.049)
Epoch: [86][1290/7045]	Time 0.102 (0.248)	Data 0.001 (0.181)	Loss 2.4162 (2.5034)	Prec@1 43.750 (39.135)	Prec@5 69.531 (69.043)
Epoch: [86][1300/7045]	Time 0.233 (0.248)	Data 0.174 (0.181)	Loss 2.6385 (2.5033)	Prec@1 37.500 (39.141)	Prec@5 63.672 (69.042)
Epoch: [86][1310/7045]	Time 0.769 (0.248)	Data 0.709 (0.181)	Loss 2.3463 (2.5031)	Prec@1 39.453 (39.141)	Prec@5 71.484 (69.046)
Epoch: [86][1320/7045]	Time 0.103 (0.248)	Data 0.006 (0.181)	Loss 2.5888 (2.5035)	Prec@1 41.406 (39.140)	Prec@5 68.750 (69.037)
Epoch: [86][1330/7045]	Time 0.109 (0.248)	Data 0.001 (0.181)	Loss 2.5154 (2.5033)	Prec@1 35.156 (39.136)	Prec@5 71.484 (69.048)
Epoch: [86][1340/7045]	Time 0.102 (0.248)	Data 0.001 (0.180)	Loss 2.3763 (2.5031)	Prec@1 44.141 (39.135)	Prec@5 68.750 (69.048)
Epoch: [86][1350/7045]	Time 0.381 (0.248)	Data 0.328 (0.181)	Loss 2.5404 (2.5028)	Prec@1 37.109 (39.145)	Prec@5 70.703 (69.055)
Epoch: [86][1360/7045]	Time 0.479 (0.248)	Data 0.427 (0.181)	Loss 2.6740 (2.5029)	Prec@1 34.766 (39.140)	Prec@5 64.453 (69.055)
Epoch: [86][1370/7045]	Time 0.304 (0.248)	Data 0.251 (0.181)	Loss 2.3282 (2.5025)	Prec@1 42.188 (39.154)	Prec@5 71.875 (69.069)
Epoch: [86][1380/7045]	Time 0.144 (0.248)	Data 0.093 (0.181)	Loss 2.5334 (2.5027)	Prec@1 36.328 (39.154)	Prec@5 71.875 (69.065)
Epoch: [86][1390/7045]	Time 0.281 (0.248)	Data 0.229 (0.181)	Loss 2.4942 (2.5022)	Prec@1 41.016 (39.157)	Prec@5 72.656 (69.082)
Epoch: [86][1400/7045]	Time 0.229 (0.248)	Data 0.178 (0.181)	Loss 2.4617 (2.5019)	Prec@1 45.312 (39.171)	Prec@5 68.750 (69.083)
Epoch: [86][1410/7045]	Time 0.102 (0.248)	Data 0.001 (0.181)	Loss 2.4987 (2.5017)	Prec@1 36.328 (39.168)	Prec@5 68.750 (69.090)
Epoch: [86][1420/7045]	Time 0.381 (0.248)	Data 0.328 (0.181)	Loss 2.5913 (2.5018)	Prec@1 38.672 (39.166)	Prec@5 66.406 (69.081)
Epoch: [86][1430/7045]	Time 0.107 (0.248)	Data 0.054 (0.181)	Loss 2.4611 (2.5019)	Prec@1 41.797 (39.165)	Prec@5 73.047 (69.083)
Epoch: [86][1440/7045]	Time 0.511 (0.248)	Data 0.459 (0.181)	Loss 2.5300 (2.5020)	Prec@1 39.453 (39.158)	Prec@5 64.844 (69.071)
Epoch: [86][1450/7045]	Time 0.204 (0.248)	Data 0.152 (0.181)	Loss 2.3128 (2.5020)	Prec@1 43.750 (39.158)	Prec@5 72.266 (69.070)
Epoch: [86][1460/7045]	Time 0.167 (0.248)	Data 0.106 (0.181)	Loss 2.3508 (2.5019)	Prec@1 41.016 (39.162)	Prec@5 69.922 (69.069)
Epoch: [86][1470/7045]	Time 0.111 (0.248)	Data 0.057 (0.181)	Loss 2.5857 (2.5021)	Prec@1 35.938 (39.157)	Prec@5 68.750 (69.061)
Epoch: [86][1480/7045]	Time 0.103 (0.248)	Data 0.049 (0.181)	Loss 2.2548 (2.5023)	Prec@1 43.750 (39.158)	Prec@5 76.953 (69.061)
Epoch: [86][1490/7045]	Time 0.116 (0.248)	Data 0.064 (0.181)	Loss 2.4037 (2.5024)	Prec@1 41.406 (39.149)	Prec@5 69.922 (69.057)
Epoch: [86][1500/7045]	Time 0.240 (0.248)	Data 0.188 (0.181)	Loss 2.3007 (2.5024)	Prec@1 44.141 (39.155)	Prec@5 73.438 (69.059)
Epoch: [86][1510/7045]	Time 0.109 (0.248)	Data 0.055 (0.181)	Loss 2.4591 (2.5021)	Prec@1 39.062 (39.156)	Prec@5 68.359 (69.057)
Epoch: [86][1520/7045]	Time 0.594 (0.248)	Data 0.542 (0.181)	Loss 2.6801 (2.5023)	Prec@1 39.062 (39.149)	Prec@5 64.844 (69.051)
Epoch: [86][1530/7045]	Time 0.123 (0.248)	Data 0.070 (0.181)	Loss 2.3981 (2.5024)	Prec@1 38.281 (39.145)	Prec@5 68.750 (69.047)
Epoch: [86][1540/7045]	Time 0.108 (0.248)	Data 0.055 (0.181)	Loss 2.5369 (2.5022)	Prec@1 39.453 (39.145)	Prec@5 69.141 (69.046)
Epoch: [86][1550/7045]	Time 0.314 (0.248)	Data 0.261 (0.181)	Loss 2.4929 (2.5021)	Prec@1 39.453 (39.143)	Prec@5 68.359 (69.044)
Epoch: [86][1560/7045]	Time 0.227 (0.248)	Data 0.175 (0.181)	Loss 2.5721 (2.5019)	Prec@1 35.547 (39.144)	Prec@5 70.703 (69.050)
Epoch: [86][1570/7045]	Time 0.250 (0.248)	Data 0.197 (0.181)	Loss 2.6201 (2.5017)	Prec@1 39.453 (39.154)	Prec@5 66.016 (69.050)
Epoch: [86][1580/7045]	Time 0.103 (0.248)	Data 0.001 (0.181)	Loss 2.6081 (2.5018)	Prec@1 37.500 (39.147)	Prec@5 67.969 (69.049)
Epoch: [86][1590/7045]	Time 0.107 (0.248)	Data 0.001 (0.181)	Loss 2.7848 (2.5018)	Prec@1 37.109 (39.144)	Prec@5 66.016 (69.049)
Epoch: [86][1600/7045]	Time 0.786 (0.248)	Data 0.735 (0.181)	Loss 2.4692 (2.5018)	Prec@1 39.062 (39.148)	Prec@5 67.188 (69.051)
Epoch: [86][1610/7045]	Time 0.101 (0.248)	Data 0.001 (0.181)	Loss 2.7704 (2.5018)	Prec@1 33.203 (39.148)	Prec@5 67.969 (69.050)
Epoch: [86][1620/7045]	Time 0.514 (0.248)	Data 0.463 (0.181)	Loss 2.5995 (2.5020)	Prec@1 41.406 (39.153)	Prec@5 66.797 (69.048)
Epoch: [86][1630/7045]	Time 0.309 (0.248)	Data 0.256 (0.181)	Loss 2.3416 (2.5019)	Prec@1 41.406 (39.154)	Prec@5 71.094 (69.044)
Epoch: [86][1640/7045]	Time 0.251 (0.248)	Data 0.199 (0.181)	Loss 2.8371 (2.5017)	Prec@1 33.984 (39.158)	Prec@5 63.672 (69.040)
Epoch: [86][1650/7045]	Time 0.267 (0.248)	Data 0.215 (0.181)	Loss 2.4131 (2.5019)	Prec@1 42.188 (39.158)	Prec@5 65.625 (69.032)
Epoch: [86][1660/7045]	Time 0.167 (0.248)	Data 0.116 (0.181)	Loss 2.5091 (2.5016)	Prec@1 38.281 (39.166)	Prec@5 69.141 (69.031)
Epoch: [86][1670/7045]	Time 0.109 (0.248)	Data 0.007 (0.181)	Loss 2.6680 (2.5012)	Prec@1 37.500 (39.178)	Prec@5 68.359 (69.041)
Epoch: [86][1680/7045]	Time 0.330 (0.248)	Data 0.279 (0.181)	Loss 2.5255 (2.5012)	Prec@1 39.062 (39.181)	Prec@5 69.531 (69.045)
Epoch: [86][1690/7045]	Time 0.166 (0.248)	Data 0.115 (0.181)	Loss 2.2659 (2.5013)	Prec@1 41.406 (39.184)	Prec@5 77.344 (69.046)
Epoch: [86][1700/7045]	Time 0.837 (0.248)	Data 0.777 (0.181)	Loss 2.7210 (2.5017)	Prec@1 33.984 (39.174)	Prec@5 65.234 (69.041)
Epoch: [86][1710/7045]	Time 0.205 (0.248)	Data 0.152 (0.181)	Loss 2.5768 (2.5018)	Prec@1 38.672 (39.173)	Prec@5 67.578 (69.042)
Epoch: [86][1720/7045]	Time 0.102 (0.248)	Data 0.001 (0.181)	Loss 2.2833 (2.5018)	Prec@1 44.922 (39.176)	Prec@5 75.000 (69.045)
Epoch: [86][1730/7045]	Time 0.169 (0.248)	Data 0.116 (0.181)	Loss 2.4662 (2.5020)	Prec@1 39.453 (39.169)	Prec@5 71.875 (69.047)
Epoch: [86][1740/7045]	Time 0.102 (0.248)	Data 0.004 (0.181)	Loss 2.2883 (2.5014)	Prec@1 42.188 (39.172)	Prec@5 73.438 (69.058)
Epoch: [86][1750/7045]	Time 0.214 (0.248)	Data 0.163 (0.181)	Loss 2.7068 (2.5013)	Prec@1 35.547 (39.173)	Prec@5 65.234 (69.057)
Epoch: [86][1760/7045]	Time 0.577 (0.248)	Data 0.525 (0.181)	Loss 2.4697 (2.5013)	Prec@1 39.453 (39.172)	Prec@5 69.922 (69.059)
Epoch: [86][1770/7045]	Time 0.266 (0.248)	Data 0.215 (0.181)	Loss 2.5498 (2.5013)	Prec@1 38.281 (39.167)	Prec@5 68.750 (69.059)
Epoch: [86][1780/7045]	Time 0.424 (0.248)	Data 0.372 (0.181)	Loss 2.3985 (2.5015)	Prec@1 38.672 (39.165)	Prec@5 71.875 (69.051)
Epoch: [86][1790/7045]	Time 0.121 (0.248)	Data 0.069 (0.181)	Loss 2.5192 (2.5014)	Prec@1 34.375 (39.163)	Prec@5 68.359 (69.057)
Epoch: [86][1800/7045]	Time 0.102 (0.248)	Data 0.001 (0.181)	Loss 2.7121 (2.5014)	Prec@1 34.375 (39.161)	Prec@5 66.016 (69.056)
Epoch: [86][1810/7045]	Time 0.108 (0.248)	Data 0.001 (0.181)	Loss 2.5352 (2.5014)	Prec@1 37.109 (39.162)	Prec@5 67.188 (69.055)
Epoch: [86][1820/7045]	Time 0.338 (0.248)	Data 0.286 (0.181)	Loss 2.2993 (2.5013)	Prec@1 41.797 (39.165)	Prec@5 74.219 (69.062)
Epoch: [86][1830/7045]	Time 0.102 (0.248)	Data 0.008 (0.181)	Loss 2.6167 (2.5011)	Prec@1 39.062 (39.164)	Prec@5 66.406 (69.066)
Epoch: [86][1840/7045]	Time 0.392 (0.248)	Data 0.340 (0.181)	Loss 2.4997 (2.5018)	Prec@1 41.016 (39.155)	Prec@5 71.484 (69.053)
Epoch: [86][1850/7045]	Time 0.101 (0.248)	Data 0.001 (0.180)	Loss 2.4991 (2.5016)	Prec@1 40.234 (39.159)	Prec@5 71.094 (69.060)
Epoch: [86][1860/7045]	Time 0.197 (0.248)	Data 0.146 (0.181)	Loss 2.5208 (2.5017)	Prec@1 40.234 (39.158)	Prec@5 68.359 (69.061)
Epoch: [86][1870/7045]	Time 0.102 (0.248)	Data 0.001 (0.180)	Loss 2.8493 (2.5017)	Prec@1 31.250 (39.161)	Prec@5 63.281 (69.059)
Epoch: [86][1880/7045]	Time 0.108 (0.248)	Data 0.001 (0.180)	Loss 2.2516 (2.5015)	Prec@1 39.062 (39.168)	Prec@5 73.828 (69.064)
Epoch: [86][1890/7045]	Time 0.345 (0.248)	Data 0.293 (0.180)	Loss 2.4682 (2.5013)	Prec@1 40.625 (39.173)	Prec@5 68.359 (69.065)
Epoch: [86][1900/7045]	Time 0.102 (0.248)	Data 0.003 (0.180)	Loss 2.8244 (2.5016)	Prec@1 33.594 (39.169)	Prec@5 64.844 (69.057)
Epoch: [86][1910/7045]	Time 0.549 (0.248)	Data 0.497 (0.181)	Loss 2.3824 (2.5014)	Prec@1 44.141 (39.167)	Prec@5 70.703 (69.063)
Epoch: [86][1920/7045]	Time 0.253 (0.248)	Data 0.193 (0.180)	Loss 2.4321 (2.5015)	Prec@1 42.188 (39.166)	Prec@5 67.188 (69.058)
Epoch: [86][1930/7045]	Time 0.267 (0.248)	Data 0.215 (0.180)	Loss 2.5748 (2.5021)	Prec@1 37.891 (39.155)	Prec@5 66.016 (69.046)
Epoch: [86][1940/7045]	Time 0.535 (0.248)	Data 0.482 (0.180)	Loss 2.5384 (2.5022)	Prec@1 38.672 (39.153)	Prec@5 67.188 (69.045)
Epoch: [86][1950/7045]	Time 0.102 (0.248)	Data 0.001 (0.180)	Loss 2.4772 (2.5025)	Prec@1 41.406 (39.153)	Prec@5 69.141 (69.038)
Epoch: [86][1960/7045]	Time 0.324 (0.248)	Data 0.271 (0.180)	Loss 2.5402 (2.5026)	Prec@1 39.453 (39.149)	Prec@5 69.141 (69.033)
Epoch: [86][1970/7045]	Time 0.111 (0.247)	Data 0.057 (0.180)	Loss 2.5367 (2.5026)	Prec@1 35.156 (39.146)	Prec@5 70.312 (69.031)
Epoch: [86][1980/7045]	Time 0.102 (0.248)	Data 0.001 (0.180)	Loss 2.7617 (2.5025)	Prec@1 37.109 (39.148)	Prec@5 64.453 (69.037)
Epoch: [86][1990/7045]	Time 0.104 (0.247)	Data 0.001 (0.180)	Loss 2.5968 (2.5022)	Prec@1 35.547 (39.148)	Prec@5 69.141 (69.044)
Epoch: [86][2000/7045]	Time 0.207 (0.247)	Data 0.155 (0.180)	Loss 2.5335 (2.5023)	Prec@1 41.406 (39.149)	Prec@5 68.359 (69.043)
Epoch: [86][2010/7045]	Time 0.696 (0.248)	Data 0.643 (0.180)	Loss 2.5656 (2.5021)	Prec@1 37.891 (39.155)	Prec@5 64.844 (69.043)
Epoch: [86][2020/7045]	Time 0.166 (0.247)	Data 0.115 (0.180)	Loss 2.4773 (2.5019)	Prec@1 42.578 (39.164)	Prec@5 65.625 (69.046)
Epoch: [86][2030/7045]	Time 0.155 (0.247)	Data 0.103 (0.180)	Loss 2.5723 (2.5018)	Prec@1 38.672 (39.164)	Prec@5 68.750 (69.046)
Epoch: [86][2040/7045]	Time 0.452 (0.248)	Data 0.400 (0.180)	Loss 2.4798 (2.5018)	Prec@1 41.797 (39.168)	Prec@5 69.141 (69.048)
Epoch: [86][2050/7045]	Time 0.154 (0.247)	Data 0.102 (0.180)	Loss 2.5000 (2.5019)	Prec@1 43.750 (39.174)	Prec@5 71.094 (69.049)
Epoch: [86][2060/7045]	Time 0.457 (0.248)	Data 0.405 (0.180)	Loss 2.4975 (2.5020)	Prec@1 42.188 (39.172)	Prec@5 70.312 (69.047)
Epoch: [86][2070/7045]	Time 0.231 (0.247)	Data 0.179 (0.180)	Loss 2.3458 (2.5020)	Prec@1 41.797 (39.168)	Prec@5 70.312 (69.042)
Epoch: [86][2080/7045]	Time 0.287 (0.247)	Data 0.234 (0.180)	Loss 2.5266 (2.5023)	Prec@1 37.109 (39.164)	Prec@5 71.484 (69.039)
Epoch: [86][2090/7045]	Time 0.102 (0.247)	Data 0.001 (0.180)	Loss 2.5667 (2.5022)	Prec@1 37.500 (39.166)	Prec@5 71.484 (69.045)
Epoch: [86][2100/7045]	Time 0.222 (0.247)	Data 0.170 (0.180)	Loss 2.6859 (2.5023)	Prec@1 37.109 (39.166)	Prec@5 66.797 (69.043)
Epoch: [86][2110/7045]	Time 0.523 (0.247)	Data 0.472 (0.180)	Loss 2.6239 (2.5023)	Prec@1 33.594 (39.161)	Prec@5 68.750 (69.046)
Epoch: [86][2120/7045]	Time 0.109 (0.247)	Data 0.056 (0.180)	Loss 2.9062 (2.5028)	Prec@1 34.766 (39.152)	Prec@5 62.891 (69.038)
Epoch: [86][2130/7045]	Time 0.392 (0.247)	Data 0.340 (0.180)	Loss 2.4300 (2.5030)	Prec@1 41.797 (39.146)	Prec@5 69.531 (69.034)
Epoch: [86][2140/7045]	Time 0.183 (0.247)	Data 0.132 (0.180)	Loss 2.6003 (2.5034)	Prec@1 37.500 (39.137)	Prec@5 64.844 (69.023)
Epoch: [86][2150/7045]	Time 0.173 (0.247)	Data 0.122 (0.180)	Loss 2.6929 (2.5033)	Prec@1 36.328 (39.143)	Prec@5 66.406 (69.024)
Epoch: [86][2160/7045]	Time 0.615 (0.247)	Data 0.565 (0.180)	Loss 2.6706 (2.5034)	Prec@1 33.594 (39.140)	Prec@5 64.453 (69.023)
Epoch: [86][2170/7045]	Time 0.265 (0.247)	Data 0.213 (0.180)	Loss 2.4887 (2.5033)	Prec@1 39.062 (39.140)	Prec@5 67.969 (69.027)
Epoch: [86][2180/7045]	Time 0.512 (0.247)	Data 0.460 (0.180)	Loss 2.4050 (2.5033)	Prec@1 39.062 (39.140)	Prec@5 69.922 (69.028)
Epoch: [86][2190/7045]	Time 0.103 (0.247)	Data 0.001 (0.180)	Loss 2.5354 (2.5032)	Prec@1 40.625 (39.141)	Prec@5 68.359 (69.028)
Epoch: [86][2200/7045]	Time 0.424 (0.247)	Data 0.372 (0.180)	Loss 2.5154 (2.5034)	Prec@1 36.328 (39.140)	Prec@5 66.406 (69.025)
Epoch: [86][2210/7045]	Time 0.108 (0.247)	Data 0.057 (0.180)	Loss 2.4510 (2.5032)	Prec@1 37.891 (39.140)	Prec@5 70.703 (69.033)
Epoch: [86][2220/7045]	Time 0.137 (0.247)	Data 0.085 (0.180)	Loss 2.5585 (2.5033)	Prec@1 37.500 (39.138)	Prec@5 66.016 (69.030)
Epoch: [86][2230/7045]	Time 0.359 (0.247)	Data 0.306 (0.180)	Loss 2.5105 (2.5037)	Prec@1 42.578 (39.132)	Prec@5 69.531 (69.024)
Epoch: [86][2240/7045]	Time 0.111 (0.247)	Data 0.058 (0.180)	Loss 2.3115 (2.5036)	Prec@1 41.406 (39.134)	Prec@5 72.656 (69.024)
Epoch: [86][2250/7045]	Time 0.548 (0.247)	Data 0.491 (0.180)	Loss 2.5357 (2.5038)	Prec@1 40.234 (39.129)	Prec@5 69.531 (69.021)
Epoch: [86][2260/7045]	Time 0.234 (0.247)	Data 0.182 (0.180)	Loss 2.3169 (2.5040)	Prec@1 41.016 (39.120)	Prec@5 71.875 (69.021)
Epoch: [86][2270/7045]	Time 0.279 (0.247)	Data 0.227 (0.180)	Loss 2.4853 (2.5042)	Prec@1 37.500 (39.115)	Prec@5 67.969 (69.018)
Epoch: [86][2280/7045]	Time 0.489 (0.247)	Data 0.438 (0.180)	Loss 2.4139 (2.5043)	Prec@1 43.750 (39.113)	Prec@5 73.047 (69.015)
Epoch: [86][2290/7045]	Time 0.110 (0.247)	Data 0.001 (0.180)	Loss 2.4865 (2.5043)	Prec@1 41.016 (39.110)	Prec@5 68.359 (69.018)
Epoch: [86][2300/7045]	Time 0.414 (0.247)	Data 0.361 (0.180)	Loss 2.7591 (2.5043)	Prec@1 41.016 (39.113)	Prec@5 63.281 (69.013)
Epoch: [86][2310/7045]	Time 0.101 (0.247)	Data 0.001 (0.180)	Loss 2.4856 (2.5041)	Prec@1 37.109 (39.117)	Prec@5 69.141 (69.018)
Epoch: [86][2320/7045]	Time 0.589 (0.247)	Data 0.537 (0.180)	Loss 2.5217 (2.5042)	Prec@1 40.234 (39.113)	Prec@5 70.703 (69.015)
Epoch: [86][2330/7045]	Time 0.103 (0.247)	Data 0.001 (0.180)	Loss 2.2611 (2.5041)	Prec@1 40.234 (39.112)	Prec@5 76.562 (69.016)
Epoch: [86][2340/7045]	Time 0.115 (0.247)	Data 0.062 (0.180)	Loss 2.4662 (2.5041)	Prec@1 40.625 (39.108)	Prec@5 68.359 (69.014)
Epoch: [86][2350/7045]	Time 0.099 (0.247)	Data 0.001 (0.180)	Loss 2.3808 (2.5041)	Prec@1 38.672 (39.104)	Prec@5 71.875 (69.017)
Epoch: [86][2360/7045]	Time 0.102 (0.247)	Data 0.001 (0.180)	Loss 2.6125 (2.5041)	Prec@1 38.672 (39.105)	Prec@5 68.359 (69.018)
Epoch: [86][2370/7045]	Time 0.377 (0.247)	Data 0.324 (0.180)	Loss 2.5739 (2.5041)	Prec@1 34.375 (39.102)	Prec@5 71.875 (69.016)
Epoch: [86][2380/7045]	Time 0.106 (0.247)	Data 0.053 (0.180)	Loss 2.4508 (2.5039)	Prec@1 41.406 (39.108)	Prec@5 71.094 (69.023)
Epoch: [86][2390/7045]	Time 0.112 (0.247)	Data 0.060 (0.180)	Loss 2.5600 (2.5040)	Prec@1 39.844 (39.104)	Prec@5 65.625 (69.020)
Epoch: [86][2400/7045]	Time 0.583 (0.247)	Data 0.524 (0.180)	Loss 2.5460 (2.5040)	Prec@1 37.500 (39.101)	Prec@5 66.016 (69.019)
Epoch: [86][2410/7045]	Time 0.111 (0.247)	Data 0.060 (0.180)	Loss 2.4166 (2.5038)	Prec@1 39.062 (39.105)	Prec@5 72.266 (69.021)
Epoch: [86][2420/7045]	Time 0.512 (0.247)	Data 0.460 (0.180)	Loss 2.4540 (2.5037)	Prec@1 44.531 (39.113)	Prec@5 71.484 (69.024)
Epoch: [86][2430/7045]	Time 0.297 (0.247)	Data 0.245 (0.180)	Loss 2.1493 (2.5034)	Prec@1 50.000 (39.120)	Prec@5 76.562 (69.032)
Epoch: [86][2440/7045]	Time 0.108 (0.247)	Data 0.054 (0.180)	Loss 2.4927 (2.5037)	Prec@1 35.547 (39.114)	Prec@5 71.094 (69.027)
Epoch: [86][2450/7045]	Time 0.428 (0.247)	Data 0.376 (0.180)	Loss 2.5141 (2.5037)	Prec@1 40.234 (39.116)	Prec@5 67.188 (69.028)
Epoch: [86][2460/7045]	Time 0.332 (0.247)	Data 0.281 (0.180)	Loss 2.4097 (2.5035)	Prec@1 39.844 (39.122)	Prec@5 69.531 (69.033)
Epoch: [86][2470/7045]	Time 0.401 (0.247)	Data 0.351 (0.180)	Loss 2.5705 (2.5036)	Prec@1 42.969 (39.125)	Prec@5 67.578 (69.033)
Epoch: [86][2480/7045]	Time 0.106 (0.247)	Data 0.053 (0.180)	Loss 2.4068 (2.5036)	Prec@1 39.844 (39.123)	Prec@5 73.438 (69.032)
Epoch: [86][2490/7045]	Time 0.322 (0.247)	Data 0.270 (0.180)	Loss 2.4227 (2.5037)	Prec@1 39.062 (39.124)	Prec@5 71.875 (69.032)
Epoch: [86][2500/7045]	Time 0.111 (0.247)	Data 0.057 (0.180)	Loss 2.3691 (2.5035)	Prec@1 42.188 (39.122)	Prec@5 69.922 (69.036)
Epoch: [86][2510/7045]	Time 0.305 (0.247)	Data 0.252 (0.180)	Loss 2.4790 (2.5037)	Prec@1 40.234 (39.116)	Prec@5 71.094 (69.033)
Epoch: [86][2520/7045]	Time 0.408 (0.247)	Data 0.356 (0.180)	Loss 2.3473 (2.5036)	Prec@1 41.797 (39.115)	Prec@5 72.656 (69.033)
Epoch: [86][2530/7045]	Time 0.102 (0.247)	Data 0.007 (0.180)	Loss 2.5416 (2.5037)	Prec@1 38.281 (39.115)	Prec@5 67.578 (69.031)
Epoch: [86][2540/7045]	Time 0.265 (0.247)	Data 0.213 (0.180)	Loss 2.4813 (2.5039)	Prec@1 43.359 (39.111)	Prec@5 69.531 (69.022)
Epoch: [86][2550/7045]	Time 0.581 (0.247)	Data 0.528 (0.180)	Loss 2.5309 (2.5038)	Prec@1 37.500 (39.110)	Prec@5 67.188 (69.021)
Epoch: [86][2560/7045]	Time 0.102 (0.247)	Data 0.044 (0.180)	Loss 2.3508 (2.5035)	Prec@1 41.406 (39.118)	Prec@5 72.656 (69.027)
Epoch: [86][2570/7045]	Time 0.483 (0.247)	Data 0.431 (0.180)	Loss 2.4359 (2.5035)	Prec@1 35.156 (39.118)	Prec@5 72.266 (69.027)
Epoch: [86][2580/7045]	Time 0.102 (0.247)	Data 0.004 (0.180)	Loss 2.3991 (2.5032)	Prec@1 41.797 (39.124)	Prec@5 69.141 (69.032)
Epoch: [86][2590/7045]	Time 0.109 (0.247)	Data 0.001 (0.180)	Loss 2.4853 (2.5034)	Prec@1 39.844 (39.124)	Prec@5 71.094 (69.028)
Epoch: [86][2600/7045]	Time 0.102 (0.247)	Data 0.004 (0.180)	Loss 2.6078 (2.5035)	Prec@1 41.406 (39.129)	Prec@5 65.234 (69.027)
Epoch: [86][2610/7045]	Time 0.119 (0.247)	Data 0.067 (0.180)	Loss 2.6972 (2.5038)	Prec@1 34.375 (39.126)	Prec@5 66.406 (69.022)
Epoch: [86][2620/7045]	Time 0.102 (0.247)	Data 0.008 (0.180)	Loss 2.4457 (2.5035)	Prec@1 44.141 (39.132)	Prec@5 71.094 (69.029)
Epoch: [86][2630/7045]	Time 0.102 (0.247)	Data 0.001 (0.180)	Loss 2.7142 (2.5037)	Prec@1 35.547 (39.126)	Prec@5 63.672 (69.021)
Epoch: [86][2640/7045]	Time 0.282 (0.247)	Data 0.231 (0.180)	Loss 2.4197 (2.5037)	Prec@1 39.844 (39.126)	Prec@5 72.656 (69.023)
Epoch: [86][2650/7045]	Time 0.575 (0.247)	Data 0.516 (0.180)	Loss 2.3437 (2.5038)	Prec@1 42.188 (39.122)	Prec@5 73.438 (69.023)
Epoch: [86][2660/7045]	Time 0.108 (0.247)	Data 0.001 (0.180)	Loss 2.6467 (2.5040)	Prec@1 38.672 (39.118)	Prec@5 64.844 (69.018)
Epoch: [86][2670/7045]	Time 0.497 (0.247)	Data 0.438 (0.180)	Loss 2.4748 (2.5040)	Prec@1 38.672 (39.118)	Prec@5 66.797 (69.017)
Epoch: [86][2680/7045]	Time 0.102 (0.247)	Data 0.004 (0.180)	Loss 2.6206 (2.5040)	Prec@1 36.719 (39.120)	Prec@5 69.141 (69.019)
Epoch: [86][2690/7045]	Time 0.223 (0.247)	Data 0.171 (0.180)	Loss 2.3280 (2.5039)	Prec@1 42.969 (39.122)	Prec@5 71.094 (69.020)
Epoch: [86][2700/7045]	Time 0.112 (0.247)	Data 0.059 (0.180)	Loss 2.5146 (2.5040)	Prec@1 41.016 (39.123)	Prec@5 67.188 (69.016)
Epoch: [86][2710/7045]	Time 0.197 (0.247)	Data 0.145 (0.180)	Loss 2.2620 (2.5038)	Prec@1 39.453 (39.123)	Prec@5 75.391 (69.022)
Epoch: [86][2720/7045]	Time 0.158 (0.247)	Data 0.108 (0.180)	Loss 2.5827 (2.5038)	Prec@1 38.672 (39.127)	Prec@5 67.969 (69.019)
Epoch: [86][2730/7045]	Time 0.103 (0.247)	Data 0.005 (0.180)	Loss 2.5664 (2.5034)	Prec@1 38.281 (39.135)	Prec@5 69.141 (69.027)
Epoch: [86][2740/7045]	Time 0.220 (0.247)	Data 0.168 (0.180)	Loss 2.3958 (2.5035)	Prec@1 39.453 (39.133)	Prec@5 71.875 (69.027)
Epoch: [86][2750/7045]	Time 0.102 (0.247)	Data 0.049 (0.180)	Loss 2.6100 (2.5037)	Prec@1 38.281 (39.130)	Prec@5 68.750 (69.023)
Epoch: [86][2760/7045]	Time 0.108 (0.247)	Data 0.005 (0.180)	Loss 2.6306 (2.5040)	Prec@1 36.719 (39.123)	Prec@5 64.062 (69.018)
Epoch: [86][2770/7045]	Time 0.667 (0.247)	Data 0.615 (0.180)	Loss 2.5896 (2.5039)	Prec@1 37.500 (39.125)	Prec@5 67.969 (69.019)
Epoch: [86][2780/7045]	Time 0.109 (0.247)	Data 0.003 (0.180)	Loss 2.5398 (2.5041)	Prec@1 41.406 (39.123)	Prec@5 70.312 (69.015)
Epoch: [86][2790/7045]	Time 0.437 (0.247)	Data 0.378 (0.180)	Loss 2.5525 (2.5043)	Prec@1 39.062 (39.119)	Prec@5 67.969 (69.009)
Epoch: [86][2800/7045]	Time 0.111 (0.247)	Data 0.058 (0.180)	Loss 2.5301 (2.5044)	Prec@1 39.062 (39.120)	Prec@5 69.531 (69.010)
Epoch: [86][2810/7045]	Time 0.102 (0.247)	Data 0.005 (0.180)	Loss 2.4971 (2.5045)	Prec@1 41.406 (39.122)	Prec@5 67.969 (69.009)
Epoch: [86][2820/7045]	Time 0.195 (0.247)	Data 0.143 (0.180)	Loss 2.4636 (2.5046)	Prec@1 44.531 (39.121)	Prec@5 71.484 (69.006)
Epoch: [86][2830/7045]	Time 0.102 (0.247)	Data 0.006 (0.180)	Loss 2.5729 (2.5047)	Prec@1 37.109 (39.121)	Prec@5 67.188 (69.007)
Epoch: [86][2840/7045]	Time 0.213 (0.247)	Data 0.161 (0.180)	Loss 2.4232 (2.5045)	Prec@1 38.672 (39.121)	Prec@5 67.969 (69.010)
Epoch: [86][2850/7045]	Time 0.260 (0.247)	Data 0.209 (0.180)	Loss 2.4326 (2.5045)	Prec@1 40.234 (39.118)	Prec@5 69.531 (69.012)
Epoch: [86][2860/7045]	Time 0.102 (0.247)	Data 0.001 (0.180)	Loss 2.5427 (2.5045)	Prec@1 37.891 (39.115)	Prec@5 67.969 (69.012)
Epoch: [86][2870/7045]	Time 0.704 (0.247)	Data 0.653 (0.180)	Loss 2.6290 (2.5046)	Prec@1 35.938 (39.111)	Prec@5 66.016 (69.009)
Epoch: [86][2880/7045]	Time 0.110 (0.247)	Data 0.057 (0.180)	Loss 2.4482 (2.5044)	Prec@1 40.234 (39.111)	Prec@5 71.094 (69.014)
Epoch: [86][2890/7045]	Time 0.405 (0.247)	Data 0.346 (0.180)	Loss 2.5481 (2.5043)	Prec@1 41.016 (39.115)	Prec@5 66.406 (69.014)
Epoch: [86][2900/7045]	Time 0.171 (0.247)	Data 0.119 (0.180)	Loss 2.5960 (2.5042)	Prec@1 35.156 (39.117)	Prec@5 67.969 (69.014)
Epoch: [86][2910/7045]	Time 0.106 (0.247)	Data 0.052 (0.180)	Loss 2.5593 (2.5044)	Prec@1 38.281 (39.117)	Prec@5 67.969 (69.014)
Epoch: [86][2920/7045]	Time 0.194 (0.247)	Data 0.142 (0.180)	Loss 2.4939 (2.5042)	Prec@1 39.453 (39.119)	Prec@5 70.703 (69.014)
Epoch: [86][2930/7045]	Time 0.126 (0.247)	Data 0.075 (0.180)	Loss 2.5639 (2.5043)	Prec@1 38.672 (39.118)	Prec@5 70.312 (69.015)
Epoch: [86][2940/7045]	Time 0.661 (0.247)	Data 0.602 (0.180)	Loss 2.6522 (2.5043)	Prec@1 35.938 (39.121)	Prec@5 67.578 (69.015)
Epoch: [86][2950/7045]	Time 0.109 (0.247)	Data 0.008 (0.180)	Loss 2.3403 (2.5046)	Prec@1 44.531 (39.118)	Prec@5 70.703 (69.005)
Epoch: [86][2960/7045]	Time 0.528 (0.247)	Data 0.475 (0.180)	Loss 2.4517 (2.5047)	Prec@1 42.188 (39.118)	Prec@5 69.922 (69.004)
Epoch: [86][2970/7045]	Time 0.154 (0.247)	Data 0.102 (0.180)	Loss 2.3418 (2.5048)	Prec@1 43.359 (39.117)	Prec@5 71.094 (69.001)
Epoch: [86][2980/7045]	Time 0.109 (0.247)	Data 0.054 (0.180)	Loss 2.5773 (2.5050)	Prec@1 40.625 (39.115)	Prec@5 63.672 (68.993)
Epoch: [86][2990/7045]	Time 0.102 (0.246)	Data 0.001 (0.180)	Loss 2.6808 (2.5050)	Prec@1 37.891 (39.114)	Prec@5 67.969 (68.995)
Epoch: [86][3000/7045]	Time 0.217 (0.247)	Data 0.168 (0.180)	Loss 2.4560 (2.5050)	Prec@1 39.453 (39.118)	Prec@5 69.141 (69.000)
Epoch: [86][3010/7045]	Time 0.630 (0.247)	Data 0.578 (0.180)	Loss 2.6343 (2.5049)	Prec@1 36.328 (39.124)	Prec@5 64.453 (68.999)
Epoch: [86][3020/7045]	Time 0.103 (0.247)	Data 0.021 (0.180)	Loss 2.4786 (2.5047)	Prec@1 41.797 (39.122)	Prec@5 71.094 (69.001)
Epoch: [86][3030/7045]	Time 0.317 (0.247)	Data 0.265 (0.180)	Loss 2.5619 (2.5050)	Prec@1 38.672 (39.118)	Prec@5 64.844 (68.995)
Epoch: [86][3040/7045]	Time 0.354 (0.247)	Data 0.296 (0.180)	Loss 2.4346 (2.5049)	Prec@1 40.234 (39.121)	Prec@5 71.094 (69.001)
Epoch: [86][3050/7045]	Time 0.351 (0.247)	Data 0.299 (0.180)	Loss 2.5205 (2.5049)	Prec@1 40.625 (39.122)	Prec@5 70.703 (69.004)
Epoch: [86][3060/7045]	Time 0.393 (0.247)	Data 0.340 (0.180)	Loss 2.5300 (2.5049)	Prec@1 38.281 (39.126)	Prec@5 69.922 (69.006)
Epoch: [86][3070/7045]	Time 0.115 (0.247)	Data 0.064 (0.180)	Loss 2.7295 (2.5048)	Prec@1 33.984 (39.124)	Prec@5 64.453 (69.008)
Epoch: [86][3080/7045]	Time 0.215 (0.246)	Data 0.162 (0.180)	Loss 2.5455 (2.5048)	Prec@1 41.016 (39.127)	Prec@5 68.750 (69.009)
Epoch: [86][3090/7045]	Time 0.102 (0.246)	Data 0.003 (0.180)	Loss 2.2985 (2.5047)	Prec@1 45.703 (39.129)	Prec@5 71.875 (69.011)
Epoch: [86][3100/7045]	Time 0.101 (0.246)	Data 0.007 (0.180)	Loss 2.2601 (2.5047)	Prec@1 42.188 (39.131)	Prec@5 71.875 (69.011)
Epoch: [86][3110/7045]	Time 0.102 (0.246)	Data 0.005 (0.180)	Loss 2.3802 (2.5046)	Prec@1 48.047 (39.134)	Prec@5 69.531 (69.009)
Epoch: [86][3120/7045]	Time 0.310 (0.246)	Data 0.249 (0.180)	Loss 2.3872 (2.5046)	Prec@1 37.109 (39.134)	Prec@5 77.344 (69.011)
Epoch: [86][3130/7045]	Time 0.100 (0.246)	Data 0.001 (0.180)	Loss 2.6011 (2.5047)	Prec@1 37.500 (39.131)	Prec@5 67.188 (69.008)
Epoch: [86][3140/7045]	Time 0.214 (0.246)	Data 0.162 (0.180)	Loss 2.4808 (2.5047)	Prec@1 41.406 (39.128)	Prec@5 70.312 (69.008)
Epoch: [86][3150/7045]	Time 0.166 (0.246)	Data 0.114 (0.180)	Loss 2.4385 (2.5045)	Prec@1 40.625 (39.131)	Prec@5 70.703 (69.011)
Epoch: [86][3160/7045]	Time 0.102 (0.246)	Data 0.001 (0.180)	Loss 2.4499 (2.5045)	Prec@1 41.797 (39.128)	Prec@5 67.578 (69.010)
Epoch: [86][3170/7045]	Time 0.361 (0.246)	Data 0.301 (0.180)	Loss 2.1466 (2.5043)	Prec@1 43.750 (39.131)	Prec@5 75.781 (69.012)
Epoch: [86][3180/7045]	Time 0.437 (0.246)	Data 0.384 (0.180)	Loss 2.4470 (2.5045)	Prec@1 41.797 (39.130)	Prec@5 70.703 (69.005)
Epoch: [86][3190/7045]	Time 0.102 (0.246)	Data 0.001 (0.180)	Loss 2.6545 (2.5046)	Prec@1 36.719 (39.127)	Prec@5 65.234 (69.005)
Epoch: [86][3200/7045]	Time 0.264 (0.246)	Data 0.211 (0.180)	Loss 2.3872 (2.5047)	Prec@1 43.750 (39.124)	Prec@5 68.359 (69.003)
Epoch: [86][3210/7045]	Time 0.206 (0.246)	Data 0.154 (0.180)	Loss 2.5020 (2.5047)	Prec@1 41.797 (39.123)	Prec@5 71.484 (69.001)
Epoch: [86][3220/7045]	Time 0.623 (0.246)	Data 0.571 (0.180)	Loss 2.6310 (2.5048)	Prec@1 38.281 (39.122)	Prec@5 66.016 (69.002)
Epoch: [86][3230/7045]	Time 0.103 (0.246)	Data 0.001 (0.180)	Loss 2.4072 (2.5046)	Prec@1 42.578 (39.123)	Prec@5 72.266 (69.005)
Epoch: [86][3240/7045]	Time 0.102 (0.246)	Data 0.002 (0.180)	Loss 2.4463 (2.5044)	Prec@1 37.891 (39.123)	Prec@5 70.703 (69.009)
Epoch: [86][3250/7045]	Time 0.345 (0.246)	Data 0.294 (0.180)	Loss 2.5330 (2.5046)	Prec@1 38.281 (39.119)	Prec@5 71.094 (69.008)
Epoch: [86][3260/7045]	Time 0.403 (0.246)	Data 0.351 (0.180)	Loss 2.3919 (2.5046)	Prec@1 44.141 (39.120)	Prec@5 69.922 (69.008)
Epoch: [86][3270/7045]	Time 0.152 (0.246)	Data 0.100 (0.180)	Loss 2.2922 (2.5045)	Prec@1 42.969 (39.120)	Prec@5 73.047 (69.009)
Epoch: [86][3280/7045]	Time 0.335 (0.246)	Data 0.285 (0.180)	Loss 2.5388 (2.5045)	Prec@1 38.672 (39.119)	Prec@5 69.141 (69.008)
Epoch: [86][3290/7045]	Time 0.107 (0.246)	Data 0.055 (0.180)	Loss 2.5690 (2.5042)	Prec@1 37.109 (39.124)	Prec@5 67.188 (69.012)
Epoch: [86][3300/7045]	Time 0.332 (0.246)	Data 0.280 (0.180)	Loss 2.3562 (2.5043)	Prec@1 41.797 (39.118)	Prec@5 73.047 (69.012)
Epoch: [86][3310/7045]	Time 0.111 (0.246)	Data 0.058 (0.180)	Loss 2.3141 (2.5042)	Prec@1 41.016 (39.120)	Prec@5 75.391 (69.013)
Epoch: [86][3320/7045]	Time 0.275 (0.246)	Data 0.223 (0.180)	Loss 2.4611 (2.5042)	Prec@1 39.453 (39.122)	Prec@5 71.484 (69.012)
Epoch: [86][3330/7045]	Time 0.156 (0.246)	Data 0.106 (0.180)	Loss 2.5493 (2.5041)	Prec@1 40.234 (39.124)	Prec@5 68.359 (69.016)
Epoch: [86][3340/7045]	Time 0.295 (0.247)	Data 0.244 (0.180)	Loss 2.5833 (2.5042)	Prec@1 40.234 (39.121)	Prec@5 65.625 (69.013)
Epoch: [86][3350/7045]	Time 0.103 (0.246)	Data 0.001 (0.180)	Loss 2.5211 (2.5041)	Prec@1 37.891 (39.123)	Prec@5 68.750 (69.016)
Epoch: [86][3360/7045]	Time 0.407 (0.247)	Data 0.355 (0.180)	Loss 2.4849 (2.5041)	Prec@1 37.500 (39.122)	Prec@5 69.141 (69.015)
Epoch: [86][3370/7045]	Time 0.116 (0.246)	Data 0.064 (0.180)	Loss 2.7277 (2.5043)	Prec@1 32.031 (39.116)	Prec@5 64.062 (69.012)
Epoch: [86][3380/7045]	Time 0.528 (0.247)	Data 0.476 (0.180)	Loss 2.4681 (2.5042)	Prec@1 41.406 (39.118)	Prec@5 71.484 (69.014)
Epoch: [86][3390/7045]	Time 0.761 (0.247)	Data 0.709 (0.180)	Loss 2.5776 (2.5041)	Prec@1 37.891 (39.119)	Prec@5 68.359 (69.017)
Epoch: [86][3400/7045]	Time 0.224 (0.247)	Data 0.173 (0.180)	Loss 2.4389 (2.5040)	Prec@1 45.312 (39.121)	Prec@5 66.406 (69.017)
Epoch: [86][3410/7045]	Time 0.495 (0.247)	Data 0.443 (0.180)	Loss 2.4457 (2.5041)	Prec@1 39.453 (39.122)	Prec@5 70.312 (69.016)
Epoch: [86][3420/7045]	Time 0.101 (0.247)	Data 0.004 (0.180)	Loss 2.5302 (2.5042)	Prec@1 36.328 (39.120)	Prec@5 71.875 (69.015)
Epoch: [86][3430/7045]	Time 0.105 (0.247)	Data 0.052 (0.180)	Loss 2.6987 (2.5043)	Prec@1 32.422 (39.115)	Prec@5 67.969 (69.012)
Epoch: [86][3440/7045]	Time 0.152 (0.247)	Data 0.102 (0.180)	Loss 2.5559 (2.5045)	Prec@1 37.109 (39.114)	Prec@5 68.750 (69.011)
Epoch: [86][3450/7045]	Time 0.427 (0.247)	Data 0.375 (0.180)	Loss 2.6954 (2.5046)	Prec@1 37.109 (39.113)	Prec@5 66.016 (69.007)
Epoch: [86][3460/7045]	Time 0.107 (0.247)	Data 0.054 (0.180)	Loss 2.3504 (2.5046)	Prec@1 41.016 (39.112)	Prec@5 73.828 (69.007)
Epoch: [86][3470/7045]	Time 0.315 (0.247)	Data 0.263 (0.180)	Loss 2.4077 (2.5045)	Prec@1 42.578 (39.117)	Prec@5 73.047 (69.008)
Epoch: [86][3480/7045]	Time 0.101 (0.247)	Data 0.001 (0.180)	Loss 2.5584 (2.5044)	Prec@1 37.109 (39.119)	Prec@5 69.531 (69.011)
Epoch: [86][3490/7045]	Time 0.352 (0.247)	Data 0.300 (0.180)	Loss 2.6349 (2.5043)	Prec@1 35.938 (39.121)	Prec@5 66.797 (69.012)
Epoch: [86][3500/7045]	Time 0.124 (0.247)	Data 0.072 (0.180)	Loss 2.4741 (2.5043)	Prec@1 36.719 (39.120)	Prec@5 66.797 (69.009)
Epoch: [86][3510/7045]	Time 0.157 (0.247)	Data 0.105 (0.180)	Loss 2.5943 (2.5042)	Prec@1 33.984 (39.124)	Prec@5 63.672 (69.011)
Epoch: [86][3520/7045]	Time 0.102 (0.247)	Data 0.004 (0.180)	Loss 2.4846 (2.5040)	Prec@1 41.406 (39.128)	Prec@5 69.922 (69.014)
Epoch: [86][3530/7045]	Time 0.268 (0.247)	Data 0.216 (0.180)	Loss 2.3311 (2.5041)	Prec@1 42.969 (39.127)	Prec@5 74.219 (69.014)
Epoch: [86][3540/7045]	Time 0.154 (0.247)	Data 0.101 (0.180)	Loss 2.4229 (2.5041)	Prec@1 41.406 (39.127)	Prec@5 69.531 (69.014)
Epoch: [86][3550/7045]	Time 0.332 (0.247)	Data 0.280 (0.180)	Loss 2.4230 (2.5042)	Prec@1 39.844 (39.124)	Prec@5 70.312 (69.010)
Epoch: [86][3560/7045]	Time 0.185 (0.247)	Data 0.133 (0.180)	Loss 2.3204 (2.5041)	Prec@1 40.234 (39.126)	Prec@5 71.484 (69.013)
Epoch: [86][3570/7045]	Time 0.106 (0.246)	Data 0.054 (0.180)	Loss 2.5886 (2.5040)	Prec@1 39.844 (39.129)	Prec@5 67.188 (69.013)
Epoch: [86][3580/7045]	Time 0.432 (0.247)	Data 0.380 (0.180)	Loss 2.4116 (2.5039)	Prec@1 40.625 (39.131)	Prec@5 66.016 (69.014)
Epoch: [86][3590/7045]	Time 0.309 (0.247)	Data 0.257 (0.180)	Loss 2.6184 (2.5038)	Prec@1 34.766 (39.132)	Prec@5 66.016 (69.015)
Epoch: [86][3600/7045]	Time 0.152 (0.247)	Data 0.093 (0.180)	Loss 2.5357 (2.5040)	Prec@1 38.281 (39.130)	Prec@5 66.406 (69.012)
Epoch: [86][3610/7045]	Time 0.103 (0.246)	Data 0.045 (0.180)	Loss 2.5541 (2.5040)	Prec@1 36.719 (39.131)	Prec@5 67.578 (69.009)
Epoch: [86][3620/7045]	Time 0.260 (0.247)	Data 0.208 (0.180)	Loss 2.4778 (2.5038)	Prec@1 36.328 (39.132)	Prec@5 69.531 (69.013)
Epoch: [86][3630/7045]	Time 0.551 (0.247)	Data 0.490 (0.180)	Loss 2.7142 (2.5039)	Prec@1 35.156 (39.131)	Prec@5 64.062 (69.013)
Epoch: [86][3640/7045]	Time 0.102 (0.247)	Data 0.001 (0.180)	Loss 2.5766 (2.5039)	Prec@1 38.281 (39.131)	Prec@5 65.625 (69.013)
Epoch: [86][3650/7045]	Time 0.372 (0.247)	Data 0.320 (0.180)	Loss 2.5147 (2.5039)	Prec@1 37.109 (39.134)	Prec@5 71.094 (69.015)
Epoch: [86][3660/7045]	Time 0.380 (0.247)	Data 0.328 (0.180)	Loss 2.3721 (2.5037)	Prec@1 43.359 (39.136)	Prec@5 71.094 (69.021)
Epoch: [86][3670/7045]	Time 0.258 (0.247)	Data 0.206 (0.180)	Loss 2.4969 (2.5038)	Prec@1 37.109 (39.137)	Prec@5 68.750 (69.020)
Epoch: [86][3680/7045]	Time 0.208 (0.247)	Data 0.157 (0.180)	Loss 2.7609 (2.5040)	Prec@1 30.469 (39.133)	Prec@5 64.062 (69.015)
Epoch: [86][3690/7045]	Time 0.108 (0.246)	Data 0.056 (0.180)	Loss 2.4416 (2.5041)	Prec@1 42.188 (39.132)	Prec@5 73.047 (69.015)
Epoch: [86][3700/7045]	Time 0.175 (0.247)	Data 0.123 (0.180)	Loss 2.5238 (2.5039)	Prec@1 44.531 (39.138)	Prec@5 70.312 (69.019)
Epoch: [86][3710/7045]	Time 0.102 (0.246)	Data 0.001 (0.180)	Loss 2.6545 (2.5038)	Prec@1 38.672 (39.138)	Prec@5 65.234 (69.020)
Epoch: [86][3720/7045]	Time 0.107 (0.247)	Data 0.001 (0.180)	Loss 2.3725 (2.5039)	Prec@1 41.406 (39.137)	Prec@5 70.703 (69.018)
Epoch: [86][3730/7045]	Time 0.104 (0.246)	Data 0.049 (0.180)	Loss 2.5148 (2.5040)	Prec@1 41.406 (39.135)	Prec@5 66.797 (69.016)
Epoch: [86][3740/7045]	Time 0.103 (0.246)	Data 0.003 (0.180)	Loss 2.4204 (2.5039)	Prec@1 39.453 (39.134)	Prec@5 69.922 (69.019)
Epoch: [86][3750/7045]	Time 0.598 (0.246)	Data 0.546 (0.180)	Loss 2.6840 (2.5039)	Prec@1 35.938 (39.135)	Prec@5 69.141 (69.020)
Epoch: [86][3760/7045]	Time 0.103 (0.246)	Data 0.001 (0.180)	Loss 2.4171 (2.5038)	Prec@1 38.672 (39.135)	Prec@5 69.531 (69.024)
Epoch: [86][3770/7045]	Time 0.581 (0.246)	Data 0.529 (0.180)	Loss 2.4530 (2.5038)	Prec@1 38.672 (39.135)	Prec@5 71.094 (69.024)
Epoch: [86][3780/7045]	Time 0.113 (0.246)	Data 0.060 (0.180)	Loss 2.6544 (2.5040)	Prec@1 37.109 (39.133)	Prec@5 67.188 (69.019)
Epoch: [86][3790/7045]	Time 0.102 (0.246)	Data 0.001 (0.180)	Loss 2.5206 (2.5041)	Prec@1 37.891 (39.131)	Prec@5 67.188 (69.016)
Epoch: [86][3800/7045]	Time 0.256 (0.246)	Data 0.204 (0.180)	Loss 2.5493 (2.5041)	Prec@1 37.500 (39.129)	Prec@5 63.672 (69.014)
Epoch: [86][3810/7045]	Time 0.115 (0.246)	Data 0.063 (0.180)	Loss 2.4259 (2.5039)	Prec@1 39.844 (39.132)	Prec@5 71.094 (69.018)
Epoch: [86][3820/7045]	Time 0.785 (0.246)	Data 0.734 (0.180)	Loss 2.4628 (2.5041)	Prec@1 40.234 (39.129)	Prec@5 68.750 (69.016)
Epoch: [86][3830/7045]	Time 0.285 (0.246)	Data 0.233 (0.180)	Loss 2.5355 (2.5040)	Prec@1 40.625 (39.132)	Prec@5 71.094 (69.018)
Epoch: [86][3840/7045]	Time 0.346 (0.246)	Data 0.294 (0.180)	Loss 2.3835 (2.5040)	Prec@1 42.578 (39.133)	Prec@5 70.703 (69.019)
Epoch: [86][3850/7045]	Time 0.469 (0.246)	Data 0.417 (0.180)	Loss 2.4446 (2.5039)	Prec@1 39.844 (39.132)	Prec@5 67.969 (69.019)
Epoch: [86][3860/7045]	Time 0.342 (0.246)	Data 0.290 (0.180)	Loss 2.6202 (2.5038)	Prec@1 37.891 (39.135)	Prec@5 67.188 (69.022)
Epoch: [86][3870/7045]	Time 0.302 (0.246)	Data 0.251 (0.180)	Loss 2.3969 (2.5039)	Prec@1 41.406 (39.136)	Prec@5 73.047 (69.020)
Epoch: [86][3880/7045]	Time 0.102 (0.246)	Data 0.003 (0.180)	Loss 2.5575 (2.5038)	Prec@1 38.281 (39.139)	Prec@5 66.797 (69.021)
Epoch: [86][3890/7045]	Time 0.268 (0.246)	Data 0.218 (0.180)	Loss 2.4966 (2.5038)	Prec@1 40.625 (39.138)	Prec@5 66.797 (69.021)
Epoch: [86][3900/7045]	Time 0.269 (0.246)	Data 0.216 (0.180)	Loss 2.5950 (2.5038)	Prec@1 40.234 (39.138)	Prec@5 66.016 (69.021)
Epoch: [86][3910/7045]	Time 0.177 (0.246)	Data 0.126 (0.180)	Loss 2.5689 (2.5039)	Prec@1 35.547 (39.134)	Prec@5 68.359 (69.020)
Epoch: [86][3920/7045]	Time 0.225 (0.246)	Data 0.166 (0.180)	Loss 2.4135 (2.5040)	Prec@1 41.797 (39.133)	Prec@5 71.094 (69.019)
Epoch: [86][3930/7045]	Time 0.107 (0.246)	Data 0.053 (0.180)	Loss 2.4407 (2.5040)	Prec@1 42.188 (39.128)	Prec@5 71.484 (69.017)
Epoch: [86][3940/7045]	Time 0.270 (0.246)	Data 0.218 (0.180)	Loss 2.4900 (2.5040)	Prec@1 35.547 (39.129)	Prec@5 65.625 (69.016)
Epoch: [86][3950/7045]	Time 0.584 (0.246)	Data 0.532 (0.180)	Loss 2.4319 (2.5039)	Prec@1 39.453 (39.128)	Prec@5 70.312 (69.018)
Epoch: [86][3960/7045]	Time 0.336 (0.246)	Data 0.284 (0.180)	Loss 2.3376 (2.5039)	Prec@1 46.094 (39.127)	Prec@5 71.094 (69.017)
Epoch: [86][3970/7045]	Time 0.106 (0.246)	Data 0.001 (0.180)	Loss 2.5996 (2.5040)	Prec@1 39.062 (39.126)	Prec@5 65.234 (69.014)
Epoch: [86][3980/7045]	Time 0.543 (0.246)	Data 0.490 (0.180)	Loss 2.2753 (2.5039)	Prec@1 43.359 (39.127)	Prec@5 75.781 (69.017)
Epoch: [86][3990/7045]	Time 0.102 (0.246)	Data 0.001 (0.180)	Loss 2.6658 (2.5040)	Prec@1 38.281 (39.126)	Prec@5 68.750 (69.015)
Epoch: [86][4000/7045]	Time 0.101 (0.246)	Data 0.049 (0.180)	Loss 2.5719 (2.5040)	Prec@1 38.281 (39.123)	Prec@5 66.016 (69.016)
Epoch: [86][4010/7045]	Time 0.356 (0.246)	Data 0.304 (0.180)	Loss 2.6944 (2.5041)	Prec@1 36.328 (39.125)	Prec@5 63.672 (69.014)
Epoch: [86][4020/7045]	Time 0.139 (0.246)	Data 0.088 (0.180)	Loss 2.4592 (2.5040)	Prec@1 38.672 (39.133)	Prec@5 71.484 (69.015)
Epoch: [86][4030/7045]	Time 0.180 (0.246)	Data 0.128 (0.180)	Loss 2.4201 (2.5040)	Prec@1 42.969 (39.131)	Prec@5 68.750 (69.015)
Epoch: [86][4040/7045]	Time 0.120 (0.246)	Data 0.067 (0.180)	Loss 2.3192 (2.5040)	Prec@1 47.266 (39.134)	Prec@5 71.094 (69.016)
Epoch: [86][4050/7045]	Time 0.102 (0.246)	Data 0.001 (0.180)	Loss 2.4184 (2.5041)	Prec@1 38.281 (39.134)	Prec@5 71.484 (69.012)
Epoch: [86][4060/7045]	Time 0.180 (0.246)	Data 0.129 (0.180)	Loss 2.5762 (2.5039)	Prec@1 37.891 (39.137)	Prec@5 69.141 (69.016)
Epoch: [86][4070/7045]	Time 0.659 (0.246)	Data 0.606 (0.180)	Loss 2.5597 (2.5041)	Prec@1 34.375 (39.136)	Prec@5 67.188 (69.012)
Epoch: [86][4080/7045]	Time 0.194 (0.246)	Data 0.135 (0.180)	Loss 2.3945 (2.5041)	Prec@1 42.188 (39.136)	Prec@5 69.922 (69.011)
Epoch: [86][4090/7045]	Time 0.360 (0.246)	Data 0.307 (0.180)	Loss 2.7594 (2.5042)	Prec@1 33.203 (39.134)	Prec@5 65.234 (69.012)
Epoch: [86][4100/7045]	Time 0.240 (0.246)	Data 0.188 (0.180)	Loss 2.6892 (2.5043)	Prec@1 38.281 (39.130)	Prec@5 66.406 (69.009)
Epoch: [86][4110/7045]	Time 0.162 (0.246)	Data 0.104 (0.180)	Loss 2.5879 (2.5044)	Prec@1 35.156 (39.125)	Prec@5 69.141 (69.007)
Epoch: [86][4120/7045]	Time 0.108 (0.246)	Data 0.056 (0.180)	Loss 2.3080 (2.5042)	Prec@1 41.406 (39.128)	Prec@5 74.609 (69.011)
Epoch: [86][4130/7045]	Time 0.247 (0.246)	Data 0.196 (0.180)	Loss 2.4429 (2.5042)	Prec@1 37.891 (39.127)	Prec@5 71.875 (69.013)
Epoch: [86][4140/7045]	Time 0.420 (0.246)	Data 0.369 (0.180)	Loss 2.3818 (2.5042)	Prec@1 41.797 (39.126)	Prec@5 74.219 (69.013)
Epoch: [86][4150/7045]	Time 0.110 (0.246)	Data 0.001 (0.180)	Loss 2.6544 (2.5044)	Prec@1 37.891 (39.120)	Prec@5 66.016 (69.011)
Epoch: [86][4160/7045]	Time 0.408 (0.246)	Data 0.356 (0.180)	Loss 2.5473 (2.5044)	Prec@1 37.500 (39.120)	Prec@5 67.969 (69.010)
Epoch: [86][4170/7045]	Time 0.185 (0.246)	Data 0.123 (0.180)	Loss 2.5473 (2.5044)	Prec@1 37.109 (39.123)	Prec@5 67.969 (69.012)
Epoch: [86][4180/7045]	Time 0.312 (0.246)	Data 0.260 (0.180)	Loss 2.5742 (2.5045)	Prec@1 38.672 (39.120)	Prec@5 65.234 (69.008)
Epoch: [86][4190/7045]	Time 0.190 (0.246)	Data 0.139 (0.180)	Loss 2.5395 (2.5046)	Prec@1 37.500 (39.118)	Prec@5 68.359 (69.008)
Epoch: [86][4200/7045]	Time 0.272 (0.246)	Data 0.220 (0.180)	Loss 2.4075 (2.5046)	Prec@1 42.969 (39.118)	Prec@5 71.875 (69.010)
Epoch: [86][4210/7045]	Time 0.236 (0.246)	Data 0.186 (0.180)	Loss 2.3963 (2.5047)	Prec@1 38.672 (39.118)	Prec@5 70.312 (69.006)
Epoch: [86][4220/7045]	Time 0.125 (0.246)	Data 0.072 (0.180)	Loss 2.7966 (2.5047)	Prec@1 32.422 (39.116)	Prec@5 67.969 (69.003)
Epoch: [86][4230/7045]	Time 0.364 (0.246)	Data 0.313 (0.180)	Loss 2.3376 (2.5048)	Prec@1 42.969 (39.115)	Prec@5 73.047 (69.002)
Epoch: [86][4240/7045]	Time 0.149 (0.246)	Data 0.097 (0.180)	Loss 2.5406 (2.5049)	Prec@1 37.109 (39.113)	Prec@5 66.797 (69.000)
Epoch: [86][4250/7045]	Time 0.291 (0.246)	Data 0.232 (0.180)	Loss 2.6073 (2.5049)	Prec@1 35.547 (39.112)	Prec@5 66.406 (68.998)
Epoch: [86][4260/7045]	Time 0.103 (0.246)	Data 0.001 (0.180)	Loss 2.2192 (2.5049)	Prec@1 43.359 (39.112)	Prec@5 74.609 (68.997)
Epoch: [86][4270/7045]	Time 0.318 (0.246)	Data 0.267 (0.180)	Loss 2.6118 (2.5049)	Prec@1 36.719 (39.111)	Prec@5 67.188 (68.999)
Epoch: [86][4280/7045]	Time 0.471 (0.246)	Data 0.419 (0.180)	Loss 2.3586 (2.5048)	Prec@1 38.281 (39.115)	Prec@5 73.828 (69.003)
Epoch: [86][4290/7045]	Time 0.102 (0.246)	Data 0.044 (0.180)	Loss 2.4679 (2.5049)	Prec@1 38.281 (39.114)	Prec@5 71.875 (68.999)
Epoch: [86][4300/7045]	Time 0.447 (0.246)	Data 0.395 (0.180)	Loss 2.4220 (2.5048)	Prec@1 40.234 (39.114)	Prec@5 71.484 (68.999)
Epoch: [86][4310/7045]	Time 0.313 (0.246)	Data 0.261 (0.180)	Loss 2.5441 (2.5048)	Prec@1 39.453 (39.116)	Prec@5 67.188 (68.997)
Epoch: [86][4320/7045]	Time 0.279 (0.246)	Data 0.228 (0.180)	Loss 2.6869 (2.5048)	Prec@1 39.062 (39.120)	Prec@5 66.016 (68.998)
Epoch: [86][4330/7045]	Time 0.112 (0.246)	Data 0.059 (0.180)	Loss 2.5035 (2.5049)	Prec@1 36.719 (39.117)	Prec@5 71.094 (68.997)
Epoch: [86][4340/7045]	Time 0.296 (0.246)	Data 0.243 (0.180)	Loss 2.4817 (2.5049)	Prec@1 41.016 (39.117)	Prec@5 68.750 (68.997)
Epoch: [86][4350/7045]	Time 0.454 (0.246)	Data 0.401 (0.180)	Loss 2.6321 (2.5050)	Prec@1 33.203 (39.116)	Prec@5 67.578 (68.998)
Epoch: [86][4360/7045]	Time 0.180 (0.246)	Data 0.129 (0.180)	Loss 2.5440 (2.5049)	Prec@1 36.328 (39.114)	Prec@5 68.359 (68.999)
Epoch: [86][4370/7045]	Time 0.302 (0.246)	Data 0.251 (0.180)	Loss 2.3730 (2.5049)	Prec@1 43.359 (39.115)	Prec@5 73.438 (69.001)
Epoch: [86][4380/7045]	Time 0.436 (0.246)	Data 0.385 (0.180)	Loss 2.5699 (2.5049)	Prec@1 36.719 (39.114)	Prec@5 67.188 (69.003)
Epoch: [86][4390/7045]	Time 0.102 (0.246)	Data 0.001 (0.180)	Loss 2.5710 (2.5050)	Prec@1 39.453 (39.114)	Prec@5 66.797 (69.003)
Epoch: [86][4400/7045]	Time 0.273 (0.246)	Data 0.222 (0.180)	Loss 2.3677 (2.5050)	Prec@1 39.844 (39.115)	Prec@5 72.656 (69.004)
Epoch: [86][4410/7045]	Time 0.173 (0.246)	Data 0.120 (0.180)	Loss 2.4939 (2.5051)	Prec@1 41.016 (39.115)	Prec@5 69.922 (69.002)
Epoch: [86][4420/7045]	Time 0.103 (0.246)	Data 0.001 (0.180)	Loss 2.5061 (2.5050)	Prec@1 38.281 (39.115)	Prec@5 64.062 (69.002)
Epoch: [86][4430/7045]	Time 0.162 (0.246)	Data 0.110 (0.180)	Loss 2.6156 (2.5050)	Prec@1 35.938 (39.117)	Prec@5 66.797 (69.003)
Epoch: [86][4440/7045]	Time 0.102 (0.246)	Data 0.002 (0.180)	Loss 2.8130 (2.5050)	Prec@1 33.984 (39.116)	Prec@5 64.453 (69.004)
Epoch: [86][4450/7045]	Time 0.426 (0.246)	Data 0.367 (0.180)	Loss 2.5940 (2.5051)	Prec@1 37.891 (39.117)	Prec@5 66.406 (69.001)
Epoch: [86][4460/7045]	Time 0.110 (0.246)	Data 0.001 (0.180)	Loss 2.4466 (2.5052)	Prec@1 34.766 (39.115)	Prec@5 71.484 (69.001)
Epoch: [86][4470/7045]	Time 0.449 (0.246)	Data 0.397 (0.180)	Loss 2.3210 (2.5051)	Prec@1 43.750 (39.119)	Prec@5 70.312 (69.003)
Epoch: [86][4480/7045]	Time 0.144 (0.246)	Data 0.093 (0.180)	Loss 2.4763 (2.5050)	Prec@1 39.062 (39.118)	Prec@5 66.797 (69.004)
Epoch: [86][4490/7045]	Time 0.231 (0.246)	Data 0.179 (0.180)	Loss 2.4274 (2.5051)	Prec@1 38.672 (39.116)	Prec@5 73.438 (69.004)
Epoch: [86][4500/7045]	Time 0.318 (0.246)	Data 0.266 (0.180)	Loss 2.5380 (2.5049)	Prec@1 33.594 (39.117)	Prec@5 70.312 (69.006)
Epoch: [86][4510/7045]	Time 0.113 (0.246)	Data 0.061 (0.180)	Loss 2.4978 (2.5049)	Prec@1 37.109 (39.119)	Prec@5 69.141 (69.008)
Epoch: [86][4520/7045]	Time 0.418 (0.246)	Data 0.366 (0.180)	Loss 2.1784 (2.5049)	Prec@1 43.359 (39.116)	Prec@5 75.000 (69.009)
Epoch: [86][4530/7045]	Time 0.103 (0.246)	Data 0.044 (0.180)	Loss 2.6612 (2.5049)	Prec@1 39.844 (39.116)	Prec@5 64.062 (69.009)
Epoch: [86][4540/7045]	Time 0.626 (0.246)	Data 0.567 (0.180)	Loss 2.3211 (2.5047)	Prec@1 40.625 (39.116)	Prec@5 73.047 (69.012)
Epoch: [86][4550/7045]	Time 0.102 (0.246)	Data 0.001 (0.180)	Loss 2.6433 (2.5049)	Prec@1 34.766 (39.116)	Prec@5 66.797 (69.010)
Epoch: [86][4560/7045]	Time 0.100 (0.246)	Data 0.001 (0.180)	Loss 2.5421 (2.5048)	Prec@1 36.719 (39.117)	Prec@5 66.406 (69.012)
Epoch: [86][4570/7045]	Time 0.102 (0.246)	Data 0.044 (0.180)	Loss 2.5424 (2.5047)	Prec@1 40.234 (39.119)	Prec@5 66.797 (69.012)
Epoch: [86][4580/7045]	Time 0.172 (0.246)	Data 0.120 (0.180)	Loss 2.5186 (2.5047)	Prec@1 40.234 (39.118)	Prec@5 68.750 (69.010)
Epoch: [86][4590/7045]	Time 0.317 (0.246)	Data 0.265 (0.180)	Loss 2.5175 (2.5046)	Prec@1 38.672 (39.116)	Prec@5 68.359 (69.012)
Epoch: [86][4600/7045]	Time 0.289 (0.246)	Data 0.237 (0.180)	Loss 2.5401 (2.5047)	Prec@1 37.500 (39.112)	Prec@5 67.188 (69.009)
Epoch: [86][4610/7045]	Time 0.102 (0.246)	Data 0.001 (0.180)	Loss 2.5971 (2.5046)	Prec@1 42.188 (39.112)	Prec@5 68.359 (69.012)
Epoch: [86][4620/7045]	Time 0.394 (0.246)	Data 0.335 (0.180)	Loss 2.6643 (2.5046)	Prec@1 36.719 (39.111)	Prec@5 63.281 (69.010)
Epoch: [86][4630/7045]	Time 0.107 (0.246)	Data 0.054 (0.180)	Loss 2.5451 (2.5047)	Prec@1 39.453 (39.108)	Prec@5 66.016 (69.009)
Epoch: [86][4640/7045]	Time 0.340 (0.246)	Data 0.289 (0.180)	Loss 2.4848 (2.5047)	Prec@1 39.453 (39.111)	Prec@5 67.969 (69.010)
Epoch: [86][4650/7045]	Time 0.404 (0.246)	Data 0.352 (0.180)	Loss 2.7388 (2.5047)	Prec@1 34.766 (39.112)	Prec@5 66.406 (69.011)
Epoch: [86][4660/7045]	Time 0.109 (0.246)	Data 0.001 (0.180)	Loss 2.4881 (2.5048)	Prec@1 37.891 (39.111)	Prec@5 67.188 (69.008)
Epoch: [86][4670/7045]	Time 0.326 (0.246)	Data 0.273 (0.180)	Loss 2.6223 (2.5048)	Prec@1 35.938 (39.109)	Prec@5 66.016 (69.007)
Epoch: [86][4680/7045]	Time 0.465 (0.246)	Data 0.412 (0.180)	Loss 2.5475 (2.5049)	Prec@1 35.547 (39.106)	Prec@5 66.797 (69.004)
Epoch: [86][4690/7045]	Time 0.274 (0.246)	Data 0.223 (0.180)	Loss 2.6353 (2.5051)	Prec@1 37.891 (39.103)	Prec@5 65.625 (69.002)
Epoch: [86][4700/7045]	Time 0.482 (0.246)	Data 0.430 (0.180)	Loss 2.4871 (2.5049)	Prec@1 39.453 (39.104)	Prec@5 71.094 (69.004)
Epoch: [86][4710/7045]	Time 0.102 (0.246)	Data 0.001 (0.180)	Loss 2.3132 (2.5049)	Prec@1 40.625 (39.104)	Prec@5 68.359 (69.002)
Epoch: [86][4720/7045]	Time 0.342 (0.246)	Data 0.290 (0.180)	Loss 2.4639 (2.5049)	Prec@1 38.672 (39.105)	Prec@5 71.094 (69.003)
Epoch: [86][4730/7045]	Time 0.102 (0.246)	Data 0.001 (0.180)	Loss 2.5648 (2.5048)	Prec@1 38.281 (39.104)	Prec@5 67.188 (69.005)
Epoch: [86][4740/7045]	Time 0.407 (0.246)	Data 0.347 (0.180)	Loss 2.3647 (2.5049)	Prec@1 41.797 (39.104)	Prec@5 70.312 (69.002)
Epoch: [86][4750/7045]	Time 0.102 (0.246)	Data 0.001 (0.180)	Loss 2.6512 (2.5049)	Prec@1 36.719 (39.103)	Prec@5 66.016 (69.001)
Epoch: [86][4760/7045]	Time 0.245 (0.246)	Data 0.194 (0.180)	Loss 2.5569 (2.5048)	Prec@1 41.797 (39.107)	Prec@5 67.188 (69.004)
Epoch: [86][4770/7045]	Time 0.356 (0.246)	Data 0.303 (0.180)	Loss 2.4216 (2.5050)	Prec@1 39.062 (39.106)	Prec@5 71.094 (69.002)
Epoch: [86][4780/7045]	Time 0.130 (0.246)	Data 0.072 (0.180)	Loss 2.3712 (2.5049)	Prec@1 44.531 (39.108)	Prec@5 71.094 (69.004)
Epoch: [86][4790/7045]	Time 0.101 (0.246)	Data 0.006 (0.180)	Loss 2.5414 (2.5048)	Prec@1 39.844 (39.111)	Prec@5 68.359 (69.005)
Epoch: [86][4800/7045]	Time 0.102 (0.246)	Data 0.001 (0.180)	Loss 2.5067 (2.5049)	Prec@1 38.281 (39.111)	Prec@5 67.188 (69.003)
Epoch: [86][4810/7045]	Time 0.332 (0.246)	Data 0.280 (0.180)	Loss 2.4561 (2.5049)	Prec@1 36.328 (39.112)	Prec@5 68.750 (69.002)
Epoch: [86][4820/7045]	Time 0.392 (0.246)	Data 0.341 (0.180)	Loss 2.5003 (2.5050)	Prec@1 40.234 (39.109)	Prec@5 67.969 (69.002)
Epoch: [86][4830/7045]	Time 0.209 (0.246)	Data 0.158 (0.180)	Loss 2.4993 (2.5050)	Prec@1 38.672 (39.108)	Prec@5 67.578 (68.999)
Epoch: [86][4840/7045]	Time 0.299 (0.246)	Data 0.248 (0.180)	Loss 2.5712 (2.5050)	Prec@1 35.547 (39.106)	Prec@5 67.969 (68.998)
Epoch: [86][4850/7045]	Time 0.391 (0.246)	Data 0.340 (0.180)	Loss 2.5566 (2.5050)	Prec@1 37.109 (39.109)	Prec@5 68.750 (68.998)
Epoch: [86][4860/7045]	Time 0.471 (0.246)	Data 0.418 (0.180)	Loss 2.6491 (2.5050)	Prec@1 40.625 (39.109)	Prec@5 65.234 (68.999)
Epoch: [86][4870/7045]	Time 0.340 (0.246)	Data 0.287 (0.180)	Loss 2.4046 (2.5049)	Prec@1 40.234 (39.111)	Prec@5 72.656 (69.001)
Epoch: [86][4880/7045]	Time 0.102 (0.246)	Data 0.001 (0.180)	Loss 2.6772 (2.5050)	Prec@1 37.109 (39.110)	Prec@5 68.359 (68.998)
Epoch: [86][4890/7045]	Time 0.101 (0.246)	Data 0.046 (0.180)	Loss 2.4080 (2.5050)	Prec@1 40.625 (39.113)	Prec@5 71.484 (68.998)
Epoch: [86][4900/7045]	Time 0.294 (0.246)	Data 0.244 (0.180)	Loss 2.4093 (2.5050)	Prec@1 42.188 (39.112)	Prec@5 70.703 (68.997)
Epoch: [86][4910/7045]	Time 0.374 (0.246)	Data 0.322 (0.180)	Loss 2.7430 (2.5051)	Prec@1 34.766 (39.109)	Prec@5 64.453 (68.994)
Epoch: [86][4920/7045]	Time 0.243 (0.246)	Data 0.191 (0.180)	Loss 2.4359 (2.5050)	Prec@1 37.109 (39.107)	Prec@5 71.875 (68.997)
Epoch: [86][4930/7045]	Time 0.312 (0.246)	Data 0.253 (0.180)	Loss 2.7045 (2.5050)	Prec@1 37.891 (39.108)	Prec@5 68.359 (68.997)
Epoch: [86][4940/7045]	Time 0.101 (0.246)	Data 0.005 (0.180)	Loss 2.4002 (2.5050)	Prec@1 39.453 (39.109)	Prec@5 71.875 (68.998)
Epoch: [86][4950/7045]	Time 0.120 (0.246)	Data 0.068 (0.180)	Loss 2.5145 (2.5049)	Prec@1 36.328 (39.110)	Prec@5 67.969 (69.000)
Epoch: [86][4960/7045]	Time 0.506 (0.246)	Data 0.454 (0.180)	Loss 2.4133 (2.5048)	Prec@1 37.891 (39.109)	Prec@5 69.922 (69.003)
Epoch: [86][4970/7045]	Time 0.194 (0.246)	Data 0.143 (0.180)	Loss 2.5182 (2.5049)	Prec@1 37.500 (39.106)	Prec@5 71.094 (69.002)
Epoch: [86][4980/7045]	Time 0.102 (0.246)	Data 0.046 (0.180)	Loss 2.5761 (2.5049)	Prec@1 34.766 (39.104)	Prec@5 67.969 (69.001)
Epoch: [86][4990/7045]	Time 0.739 (0.246)	Data 0.687 (0.180)	Loss 2.4238 (2.5049)	Prec@1 39.062 (39.101)	Prec@5 72.266 (69.002)
Epoch: [86][5000/7045]	Time 0.112 (0.246)	Data 0.060 (0.180)	Loss 2.4331 (2.5048)	Prec@1 41.016 (39.102)	Prec@5 70.312 (69.002)
Epoch: [86][5010/7045]	Time 0.412 (0.246)	Data 0.361 (0.180)	Loss 2.5456 (2.5049)	Prec@1 36.719 (39.102)	Prec@5 67.969 (69.002)
Epoch: [86][5020/7045]	Time 0.102 (0.246)	Data 0.005 (0.180)	Loss 2.3974 (2.5048)	Prec@1 42.188 (39.103)	Prec@5 71.875 (69.001)
Epoch: [86][5030/7045]	Time 0.101 (0.246)	Data 0.001 (0.180)	Loss 2.4762 (2.5049)	Prec@1 40.625 (39.102)	Prec@5 69.141 (68.999)
Epoch: [86][5040/7045]	Time 0.103 (0.246)	Data 0.001 (0.180)	Loss 2.2898 (2.5048)	Prec@1 39.062 (39.103)	Prec@5 72.266 (69.001)
Epoch: [86][5050/7045]	Time 0.103 (0.246)	Data 0.001 (0.180)	Loss 2.4851 (2.5049)	Prec@1 41.797 (39.103)	Prec@5 68.750 (68.999)
Epoch: [86][5060/7045]	Time 0.213 (0.246)	Data 0.161 (0.180)	Loss 2.4665 (2.5049)	Prec@1 42.188 (39.105)	Prec@5 70.312 (68.999)
Epoch: [86][5070/7045]	Time 0.103 (0.246)	Data 0.001 (0.180)	Loss 2.5659 (2.5048)	Prec@1 39.062 (39.107)	Prec@5 67.578 (68.999)
Epoch: [86][5080/7045]	Time 0.102 (0.246)	Data 0.005 (0.180)	Loss 2.5758 (2.5049)	Prec@1 38.672 (39.106)	Prec@5 64.844 (68.998)
Epoch: [86][5090/7045]	Time 0.305 (0.246)	Data 0.254 (0.180)	Loss 2.2718 (2.5048)	Prec@1 44.141 (39.108)	Prec@5 73.828 (68.998)
Epoch: [86][5100/7045]	Time 0.107 (0.246)	Data 0.054 (0.180)	Loss 2.3622 (2.5049)	Prec@1 46.094 (39.108)	Prec@5 69.922 (68.994)
Epoch: [86][5110/7045]	Time 0.353 (0.246)	Data 0.294 (0.180)	Loss 2.7006 (2.5049)	Prec@1 36.328 (39.107)	Prec@5 66.797 (68.993)
Epoch: [86][5120/7045]	Time 0.250 (0.246)	Data 0.199 (0.180)	Loss 2.6019 (2.5049)	Prec@1 37.891 (39.107)	Prec@5 67.188 (68.993)
Epoch: [86][5130/7045]	Time 0.373 (0.246)	Data 0.321 (0.180)	Loss 2.3602 (2.5048)	Prec@1 45.703 (39.110)	Prec@5 72.656 (68.996)
Epoch: [86][5140/7045]	Time 0.389 (0.246)	Data 0.337 (0.180)	Loss 2.4268 (2.5047)	Prec@1 42.578 (39.110)	Prec@5 74.219 (68.998)
Epoch: [86][5150/7045]	Time 0.174 (0.246)	Data 0.122 (0.180)	Loss 2.5375 (2.5048)	Prec@1 41.016 (39.108)	Prec@5 67.969 (68.998)
Epoch: [86][5160/7045]	Time 0.098 (0.246)	Data 0.046 (0.180)	Loss 2.5537 (2.5047)	Prec@1 43.750 (39.111)	Prec@5 65.234 (69.003)
Epoch: [86][5170/7045]	Time 0.101 (0.246)	Data 0.029 (0.180)	Loss 2.6919 (2.5047)	Prec@1 33.984 (39.109)	Prec@5 68.750 (69.004)
Epoch: [86][5180/7045]	Time 0.386 (0.246)	Data 0.334 (0.180)	Loss 2.3868 (2.5048)	Prec@1 42.188 (39.109)	Prec@5 72.656 (69.003)
Epoch: [86][5190/7045]	Time 0.103 (0.246)	Data 0.001 (0.180)	Loss 2.6889 (2.5049)	Prec@1 37.109 (39.109)	Prec@5 66.406 (69.002)
Epoch: [86][5200/7045]	Time 0.254 (0.246)	Data 0.203 (0.180)	Loss 2.6495 (2.5049)	Prec@1 33.203 (39.109)	Prec@5 66.797 (68.999)
Epoch: [86][5210/7045]	Time 0.335 (0.246)	Data 0.284 (0.180)	Loss 2.5688 (2.5051)	Prec@1 37.109 (39.105)	Prec@5 69.531 (68.997)
Epoch: [86][5220/7045]	Time 0.491 (0.246)	Data 0.438 (0.180)	Loss 2.3713 (2.5052)	Prec@1 42.578 (39.105)	Prec@5 75.391 (68.995)
Epoch: [86][5230/7045]	Time 0.102 (0.246)	Data 0.001 (0.180)	Loss 2.6133 (2.5051)	Prec@1 36.719 (39.104)	Prec@5 67.188 (68.995)
Epoch: [86][5240/7045]	Time 0.340 (0.246)	Data 0.288 (0.180)	Loss 2.6519 (2.5052)	Prec@1 33.594 (39.103)	Prec@5 66.797 (68.992)
Epoch: [86][5250/7045]	Time 0.399 (0.246)	Data 0.348 (0.180)	Loss 2.4260 (2.5053)	Prec@1 39.453 (39.100)	Prec@5 70.312 (68.989)
Epoch: [86][5260/7045]	Time 0.185 (0.246)	Data 0.134 (0.180)	Loss 2.6455 (2.5055)	Prec@1 37.891 (39.096)	Prec@5 64.062 (68.987)
Epoch: [86][5270/7045]	Time 0.325 (0.246)	Data 0.272 (0.180)	Loss 2.4503 (2.5053)	Prec@1 40.625 (39.100)	Prec@5 66.797 (68.990)
Epoch: [86][5280/7045]	Time 0.243 (0.246)	Data 0.184 (0.180)	Loss 2.6120 (2.5053)	Prec@1 37.500 (39.099)	Prec@5 69.141 (68.992)
Epoch: [86][5290/7045]	Time 0.110 (0.246)	Data 0.001 (0.180)	Loss 2.4415 (2.5053)	Prec@1 37.500 (39.099)	Prec@5 71.875 (68.994)
Epoch: [86][5300/7045]	Time 0.103 (0.246)	Data 0.001 (0.180)	Loss 2.6699 (2.5053)	Prec@1 33.203 (39.097)	Prec@5 66.016 (68.993)
Epoch: [86][5310/7045]	Time 0.101 (0.246)	Data 0.001 (0.180)	Loss 2.4316 (2.5052)	Prec@1 35.547 (39.098)	Prec@5 69.531 (68.995)
Epoch: [86][5320/7045]	Time 0.172 (0.246)	Data 0.120 (0.180)	Loss 2.5921 (2.5051)	Prec@1 41.406 (39.101)	Prec@5 68.359 (68.998)
Epoch: [86][5330/7045]	Time 0.224 (0.246)	Data 0.173 (0.180)	Loss 2.2514 (2.5051)	Prec@1 46.875 (39.103)	Prec@5 76.562 (68.999)
Epoch: [86][5340/7045]	Time 0.266 (0.246)	Data 0.215 (0.180)	Loss 2.3607 (2.5051)	Prec@1 39.062 (39.104)	Prec@5 74.219 (68.996)
Epoch: [86][5350/7045]	Time 0.370 (0.246)	Data 0.319 (0.180)	Loss 2.4392 (2.5051)	Prec@1 40.234 (39.104)	Prec@5 69.141 (68.996)
Epoch: [86][5360/7045]	Time 0.249 (0.246)	Data 0.198 (0.180)	Loss 2.5756 (2.5049)	Prec@1 36.328 (39.107)	Prec@5 67.969 (68.998)
Epoch: [86][5370/7045]	Time 0.109 (0.246)	Data 0.009 (0.180)	Loss 2.5073 (2.5049)	Prec@1 36.719 (39.106)	Prec@5 69.141 (68.999)
Epoch: [86][5380/7045]	Time 0.517 (0.246)	Data 0.465 (0.180)	Loss 2.4829 (2.5049)	Prec@1 40.234 (39.105)	Prec@5 67.188 (69.000)
Epoch: [86][5390/7045]	Time 0.109 (0.246)	Data 0.056 (0.180)	Loss 2.5877 (2.5048)	Prec@1 36.719 (39.107)	Prec@5 69.531 (69.001)
Epoch: [86][5400/7045]	Time 0.102 (0.246)	Data 0.001 (0.180)	Loss 2.4918 (2.5048)	Prec@1 39.062 (39.107)	Prec@5 68.359 (68.999)
Epoch: [86][5410/7045]	Time 0.102 (0.246)	Data 0.018 (0.180)	Loss 2.7597 (2.5049)	Prec@1 33.984 (39.104)	Prec@5 64.453 (68.999)
Epoch: [86][5420/7045]	Time 0.102 (0.246)	Data 0.001 (0.180)	Loss 2.5115 (2.5048)	Prec@1 37.500 (39.107)	Prec@5 66.797 (69.001)
Epoch: [86][5430/7045]	Time 0.101 (0.246)	Data 0.005 (0.180)	Loss 2.3376 (2.5047)	Prec@1 42.969 (39.108)	Prec@5 71.875 (69.003)
Epoch: [86][5440/7045]	Time 0.514 (0.246)	Data 0.456 (0.180)	Loss 2.5243 (2.5048)	Prec@1 37.109 (39.107)	Prec@5 67.578 (68.999)
Epoch: [86][5450/7045]	Time 0.348 (0.246)	Data 0.297 (0.180)	Loss 2.2911 (2.5048)	Prec@1 39.453 (39.110)	Prec@5 73.047 (69.001)
Epoch: [86][5460/7045]	Time 0.102 (0.246)	Data 0.005 (0.180)	Loss 2.6741 (2.5046)	Prec@1 35.547 (39.112)	Prec@5 64.844 (69.005)
Epoch: [86][5470/7045]	Time 0.697 (0.246)	Data 0.645 (0.180)	Loss 2.5199 (2.5047)	Prec@1 36.719 (39.112)	Prec@5 69.922 (69.006)
Epoch: [86][5480/7045]	Time 0.172 (0.246)	Data 0.121 (0.180)	Loss 2.4470 (2.5048)	Prec@1 41.406 (39.108)	Prec@5 70.312 (69.004)
Epoch: [86][5490/7045]	Time 0.103 (0.246)	Data 0.044 (0.180)	Loss 2.3162 (2.5047)	Prec@1 41.406 (39.107)	Prec@5 71.875 (69.003)
Epoch: [86][5500/7045]	Time 0.294 (0.246)	Data 0.242 (0.180)	Loss 2.6485 (2.5048)	Prec@1 41.406 (39.107)	Prec@5 64.453 (69.003)
Epoch: [86][5510/7045]	Time 0.101 (0.246)	Data 0.004 (0.180)	Loss 2.4878 (2.5047)	Prec@1 37.891 (39.108)	Prec@5 69.141 (69.003)
Epoch: [86][5520/7045]	Time 0.150 (0.246)	Data 0.092 (0.180)	Loss 2.4985 (2.5048)	Prec@1 39.453 (39.105)	Prec@5 70.312 (69.002)
Epoch: [86][5530/7045]	Time 0.270 (0.246)	Data 0.219 (0.180)	Loss 2.2721 (2.5049)	Prec@1 42.969 (39.102)	Prec@5 74.609 (69.002)
Epoch: [86][5540/7045]	Time 0.139 (0.246)	Data 0.087 (0.180)	Loss 2.5246 (2.5049)	Prec@1 40.625 (39.103)	Prec@5 69.531 (69.003)
Epoch: [86][5550/7045]	Time 0.109 (0.246)	Data 0.021 (0.180)	Loss 2.5186 (2.5049)	Prec@1 38.672 (39.104)	Prec@5 67.188 (69.003)
Epoch: [86][5560/7045]	Time 0.171 (0.246)	Data 0.119 (0.180)	Loss 2.1557 (2.5047)	Prec@1 42.578 (39.106)	Prec@5 78.125 (69.005)
Epoch: [86][5570/7045]	Time 0.176 (0.246)	Data 0.123 (0.180)	Loss 2.4607 (2.5047)	Prec@1 39.062 (39.108)	Prec@5 69.531 (69.004)
Epoch: [86][5580/7045]	Time 0.345 (0.246)	Data 0.293 (0.180)	Loss 2.6578 (2.5048)	Prec@1 33.203 (39.104)	Prec@5 69.141 (69.003)
Epoch: [86][5590/7045]	Time 0.102 (0.246)	Data 0.001 (0.180)	Loss 2.4695 (2.5048)	Prec@1 37.109 (39.104)	Prec@5 71.094 (69.005)
Epoch: [86][5600/7045]	Time 0.254 (0.246)	Data 0.201 (0.180)	Loss 2.5900 (2.5048)	Prec@1 35.938 (39.103)	Prec@5 66.797 (69.003)
Epoch: [86][5610/7045]	Time 0.109 (0.246)	Data 0.057 (0.180)	Loss 2.6534 (2.5048)	Prec@1 36.719 (39.103)	Prec@5 67.188 (69.005)
Epoch: [86][5620/7045]	Time 0.102 (0.246)	Data 0.001 (0.180)	Loss 2.6105 (2.5047)	Prec@1 37.891 (39.103)	Prec@5 65.625 (69.005)
Epoch: [86][5630/7045]	Time 0.348 (0.246)	Data 0.296 (0.180)	Loss 2.6209 (2.5047)	Prec@1 35.547 (39.103)	Prec@5 68.359 (69.008)
Epoch: [86][5640/7045]	Time 0.215 (0.246)	Data 0.164 (0.180)	Loss 2.5030 (2.5046)	Prec@1 38.281 (39.104)	Prec@5 70.312 (69.010)
Epoch: [86][5650/7045]	Time 0.118 (0.246)	Data 0.066 (0.180)	Loss 2.5877 (2.5045)	Prec@1 38.672 (39.105)	Prec@5 67.578 (69.010)
Epoch: [86][5660/7045]	Time 0.116 (0.246)	Data 0.064 (0.180)	Loss 2.4907 (2.5045)	Prec@1 34.375 (39.104)	Prec@5 71.094 (69.009)
Epoch: [86][5670/7045]	Time 0.487 (0.246)	Data 0.436 (0.180)	Loss 2.3910 (2.5045)	Prec@1 39.844 (39.105)	Prec@5 69.531 (69.008)
Epoch: [86][5680/7045]	Time 0.109 (0.246)	Data 0.007 (0.180)	Loss 2.5438 (2.5045)	Prec@1 39.844 (39.106)	Prec@5 69.141 (69.007)
Epoch: [86][5690/7045]	Time 0.178 (0.246)	Data 0.126 (0.180)	Loss 2.4430 (2.5045)	Prec@1 40.234 (39.108)	Prec@5 69.922 (69.008)
Epoch: [86][5700/7045]	Time 0.380 (0.246)	Data 0.328 (0.181)	Loss 2.4471 (2.5045)	Prec@1 40.625 (39.106)	Prec@5 67.969 (69.007)
Epoch: [86][5710/7045]	Time 0.112 (0.246)	Data 0.059 (0.180)	Loss 2.5823 (2.5044)	Prec@1 38.281 (39.107)	Prec@5 66.016 (69.009)
Epoch: [86][5720/7045]	Time 0.464 (0.246)	Data 0.412 (0.181)	Loss 2.3786 (2.5043)	Prec@1 44.922 (39.110)	Prec@5 72.266 (69.010)
Epoch: [86][5730/7045]	Time 0.282 (0.246)	Data 0.231 (0.180)	Loss 2.4750 (2.5043)	Prec@1 37.109 (39.109)	Prec@5 71.875 (69.010)
Epoch: [86][5740/7045]	Time 0.409 (0.246)	Data 0.358 (0.180)	Loss 2.6987 (2.5044)	Prec@1 33.203 (39.104)	Prec@5 65.625 (69.009)
Epoch: [86][5750/7045]	Time 0.432 (0.246)	Data 0.380 (0.180)	Loss 2.3936 (2.5044)	Prec@1 42.578 (39.102)	Prec@5 67.969 (69.010)
Epoch: [86][5760/7045]	Time 0.111 (0.246)	Data 0.059 (0.180)	Loss 2.5083 (2.5045)	Prec@1 33.984 (39.101)	Prec@5 67.188 (69.009)
Epoch: [86][5770/7045]	Time 0.423 (0.246)	Data 0.363 (0.181)	Loss 2.4953 (2.5044)	Prec@1 39.453 (39.101)	Prec@5 67.578 (69.008)
Epoch: [86][5780/7045]	Time 0.354 (0.246)	Data 0.293 (0.181)	Loss 2.6597 (2.5044)	Prec@1 41.797 (39.103)	Prec@5 62.109 (69.007)
Epoch: [86][5790/7045]	Time 0.278 (0.246)	Data 0.226 (0.180)	Loss 2.4178 (2.5045)	Prec@1 37.500 (39.102)	Prec@5 73.438 (69.007)
Epoch: [86][5800/7045]	Time 0.369 (0.246)	Data 0.318 (0.181)	Loss 2.5651 (2.5045)	Prec@1 35.547 (39.102)	Prec@5 68.359 (69.007)
Epoch: [86][5810/7045]	Time 0.160 (0.246)	Data 0.108 (0.180)	Loss 2.4279 (2.5045)	Prec@1 36.328 (39.100)	Prec@5 70.703 (69.007)
Epoch: [86][5820/7045]	Time 0.102 (0.246)	Data 0.002 (0.180)	Loss 2.3136 (2.5047)	Prec@1 37.109 (39.095)	Prec@5 73.047 (69.003)
Epoch: [86][5830/7045]	Time 0.103 (0.246)	Data 0.001 (0.180)	Loss 2.4549 (2.5047)	Prec@1 40.625 (39.098)	Prec@5 69.531 (69.003)
Epoch: [86][5840/7045]	Time 0.348 (0.246)	Data 0.296 (0.181)	Loss 2.6449 (2.5047)	Prec@1 37.109 (39.097)	Prec@5 66.797 (69.001)
Epoch: [86][5850/7045]	Time 0.372 (0.246)	Data 0.320 (0.181)	Loss 2.5068 (2.5048)	Prec@1 39.844 (39.094)	Prec@5 64.453 (68.997)
Epoch: [86][5860/7045]	Time 0.188 (0.246)	Data 0.134 (0.180)	Loss 2.6106 (2.5049)	Prec@1 36.719 (39.093)	Prec@5 62.891 (68.997)
Epoch: [86][5870/7045]	Time 0.388 (0.246)	Data 0.337 (0.181)	Loss 2.2111 (2.5048)	Prec@1 44.922 (39.097)	Prec@5 76.172 (68.997)
Epoch: [86][5880/7045]	Time 0.242 (0.246)	Data 0.191 (0.181)	Loss 2.3671 (2.5048)	Prec@1 40.234 (39.098)	Prec@5 71.094 (68.997)
Epoch: [86][5890/7045]	Time 0.125 (0.246)	Data 0.073 (0.180)	Loss 2.4545 (2.5049)	Prec@1 39.453 (39.098)	Prec@5 67.578 (68.994)
Epoch: [86][5900/7045]	Time 0.110 (0.246)	Data 0.058 (0.180)	Loss 2.6135 (2.5049)	Prec@1 39.453 (39.098)	Prec@5 64.844 (68.995)
Epoch: [86][5910/7045]	Time 0.437 (0.246)	Data 0.385 (0.181)	Loss 2.3846 (2.5049)	Prec@1 40.234 (39.098)	Prec@5 73.828 (68.995)
Epoch: [86][5920/7045]	Time 0.104 (0.246)	Data 0.001 (0.180)	Loss 2.6802 (2.5049)	Prec@1 35.938 (39.097)	Prec@5 65.625 (68.996)
Epoch: [86][5930/7045]	Time 0.415 (0.246)	Data 0.364 (0.180)	Loss 2.4178 (2.5049)	Prec@1 41.016 (39.097)	Prec@5 70.312 (68.997)
Epoch: [86][5940/7045]	Time 0.207 (0.246)	Data 0.154 (0.180)	Loss 2.6703 (2.5048)	Prec@1 33.984 (39.098)	Prec@5 66.406 (68.997)
Epoch: [86][5950/7045]	Time 0.415 (0.246)	Data 0.364 (0.180)	Loss 2.7093 (2.5049)	Prec@1 37.109 (39.098)	Prec@5 65.625 (68.996)
Epoch: [86][5960/7045]	Time 0.112 (0.246)	Data 0.059 (0.180)	Loss 2.5742 (2.5048)	Prec@1 39.062 (39.100)	Prec@5 67.578 (68.997)
Epoch: [86][5970/7045]	Time 0.354 (0.246)	Data 0.303 (0.181)	Loss 2.4939 (2.5048)	Prec@1 38.281 (39.101)	Prec@5 69.141 (68.996)
Epoch: [86][5980/7045]	Time 0.102 (0.246)	Data 0.001 (0.180)	Loss 2.6048 (2.5049)	Prec@1 39.062 (39.099)	Prec@5 67.969 (68.993)
Epoch: [86][5990/7045]	Time 0.102 (0.246)	Data 0.001 (0.181)	Loss 2.5058 (2.5049)	Prec@1 35.938 (39.099)	Prec@5 66.797 (68.991)
Epoch: [86][6000/7045]	Time 0.178 (0.246)	Data 0.126 (0.180)	Loss 2.6913 (2.5049)	Prec@1 38.281 (39.100)	Prec@5 65.234 (68.992)
Epoch: [86][6010/7045]	Time 0.106 (0.246)	Data 0.053 (0.180)	Loss 2.6415 (2.5051)	Prec@1 33.594 (39.098)	Prec@5 63.672 (68.991)
Epoch: [86][6020/7045]	Time 0.101 (0.246)	Data 0.001 (0.181)	Loss 2.5278 (2.5050)	Prec@1 39.453 (39.100)	Prec@5 70.703 (68.992)
Epoch: [86][6030/7045]	Time 0.163 (0.246)	Data 0.112 (0.180)	Loss 2.4283 (2.5049)	Prec@1 41.406 (39.101)	Prec@5 69.531 (68.995)
Epoch: [86][6040/7045]	Time 0.176 (0.246)	Data 0.125 (0.180)	Loss 2.5843 (2.5050)	Prec@1 33.594 (39.098)	Prec@5 68.750 (68.994)
Epoch: [86][6050/7045]	Time 0.110 (0.246)	Data 0.012 (0.181)	Loss 2.5153 (2.5050)	Prec@1 38.281 (39.097)	Prec@5 71.094 (68.991)
Epoch: [86][6060/7045]	Time 0.102 (0.246)	Data 0.001 (0.180)	Loss 2.6395 (2.5050)	Prec@1 36.719 (39.098)	Prec@5 67.578 (68.991)
Epoch: [86][6070/7045]	Time 0.216 (0.246)	Data 0.164 (0.180)	Loss 2.6172 (2.5052)	Prec@1 39.062 (39.097)	Prec@5 69.141 (68.988)
Epoch: [86][6080/7045]	Time 0.629 (0.246)	Data 0.577 (0.181)	Loss 2.3683 (2.5052)	Prec@1 43.750 (39.096)	Prec@5 72.656 (68.988)
Epoch: [86][6090/7045]	Time 0.289 (0.246)	Data 0.238 (0.181)	Loss 2.4568 (2.5052)	Prec@1 41.016 (39.096)	Prec@5 68.359 (68.986)
Epoch: [86][6100/7045]	Time 0.145 (0.246)	Data 0.093 (0.181)	Loss 2.5559 (2.5053)	Prec@1 39.453 (39.095)	Prec@5 71.484 (68.985)
Epoch: [86][6110/7045]	Time 0.450 (0.246)	Data 0.398 (0.181)	Loss 2.5867 (2.5053)	Prec@1 32.812 (39.094)	Prec@5 68.359 (68.985)
Epoch: [86][6120/7045]	Time 0.300 (0.246)	Data 0.240 (0.181)	Loss 2.5779 (2.5053)	Prec@1 39.453 (39.096)	Prec@5 66.797 (68.984)
Epoch: [86][6130/7045]	Time 0.112 (0.246)	Data 0.001 (0.181)	Loss 2.4283 (2.5054)	Prec@1 39.453 (39.095)	Prec@5 69.922 (68.984)
Epoch: [86][6140/7045]	Time 0.562 (0.246)	Data 0.511 (0.181)	Loss 2.6389 (2.5054)	Prec@1 41.797 (39.093)	Prec@5 66.016 (68.982)
Epoch: [86][6150/7045]	Time 0.102 (0.246)	Data 0.001 (0.181)	Loss 2.5608 (2.5054)	Prec@1 38.281 (39.093)	Prec@5 67.578 (68.982)
Epoch: [86][6160/7045]	Time 0.148 (0.246)	Data 0.097 (0.181)	Loss 2.5304 (2.5054)	Prec@1 35.938 (39.094)	Prec@5 68.359 (68.984)
Epoch: [86][6170/7045]	Time 0.257 (0.246)	Data 0.205 (0.181)	Loss 2.4772 (2.5054)	Prec@1 42.188 (39.095)	Prec@5 69.922 (68.984)
Epoch: [86][6180/7045]	Time 0.258 (0.246)	Data 0.206 (0.181)	Loss 2.4234 (2.5054)	Prec@1 41.406 (39.095)	Prec@5 70.703 (68.983)
Epoch: [86][6190/7045]	Time 0.292 (0.246)	Data 0.240 (0.181)	Loss 2.6632 (2.5053)	Prec@1 40.234 (39.096)	Prec@5 67.188 (68.985)
Epoch: [86][6200/7045]	Time 0.109 (0.246)	Data 0.001 (0.181)	Loss 2.6518 (2.5053)	Prec@1 42.188 (39.096)	Prec@5 67.969 (68.985)
Epoch: [86][6210/7045]	Time 0.367 (0.246)	Data 0.316 (0.181)	Loss 2.3205 (2.5052)	Prec@1 45.312 (39.100)	Prec@5 71.875 (68.986)
Epoch: [86][6220/7045]	Time 0.291 (0.246)	Data 0.239 (0.181)	Loss 2.4747 (2.5052)	Prec@1 38.672 (39.098)	Prec@5 68.750 (68.984)
Epoch: [86][6230/7045]	Time 0.452 (0.246)	Data 0.399 (0.181)	Loss 2.6202 (2.5052)	Prec@1 35.156 (39.099)	Prec@5 66.797 (68.987)
Epoch: [86][6240/7045]	Time 0.142 (0.246)	Data 0.091 (0.181)	Loss 2.4191 (2.5051)	Prec@1 43.750 (39.099)	Prec@5 71.094 (68.987)
Epoch: [86][6250/7045]	Time 0.103 (0.246)	Data 0.001 (0.181)	Loss 2.4968 (2.5051)	Prec@1 39.062 (39.099)	Prec@5 66.797 (68.987)
Epoch: [86][6260/7045]	Time 0.299 (0.246)	Data 0.247 (0.181)	Loss 2.3315 (2.5051)	Prec@1 39.844 (39.101)	Prec@5 70.312 (68.987)
Epoch: [86][6270/7045]	Time 0.112 (0.246)	Data 0.001 (0.181)	Loss 2.8043 (2.5052)	Prec@1 35.547 (39.100)	Prec@5 64.062 (68.987)
Epoch: [86][6280/7045]	Time 0.101 (0.246)	Data 0.001 (0.181)	Loss 2.2481 (2.5051)	Prec@1 47.266 (39.102)	Prec@5 73.438 (68.989)
Epoch: [86][6290/7045]	Time 0.315 (0.246)	Data 0.263 (0.181)	Loss 2.5793 (2.5050)	Prec@1 39.062 (39.103)	Prec@5 69.531 (68.990)
Epoch: [86][6300/7045]	Time 0.147 (0.246)	Data 0.096 (0.181)	Loss 2.5650 (2.5049)	Prec@1 38.672 (39.107)	Prec@5 66.797 (68.991)
Epoch: [86][6310/7045]	Time 0.349 (0.246)	Data 0.296 (0.181)	Loss 2.5970 (2.5048)	Prec@1 39.062 (39.109)	Prec@5 67.188 (68.993)
Epoch: [86][6320/7045]	Time 0.542 (0.246)	Data 0.481 (0.181)	Loss 2.4139 (2.5047)	Prec@1 38.672 (39.110)	Prec@5 69.922 (68.995)
Epoch: [86][6330/7045]	Time 0.101 (0.246)	Data 0.001 (0.181)	Loss 2.6129 (2.5048)	Prec@1 34.375 (39.110)	Prec@5 67.578 (68.994)
Epoch: [86][6340/7045]	Time 0.511 (0.246)	Data 0.461 (0.181)	Loss 2.4806 (2.5047)	Prec@1 39.844 (39.110)	Prec@5 68.750 (68.995)
Epoch: [86][6350/7045]	Time 0.457 (0.246)	Data 0.404 (0.181)	Loss 2.5889 (2.5047)	Prec@1 37.109 (39.111)	Prec@5 67.578 (68.995)
Epoch: [86][6360/7045]	Time 0.102 (0.246)	Data 0.007 (0.181)	Loss 2.3963 (2.5048)	Prec@1 44.531 (39.111)	Prec@5 68.359 (68.993)
Epoch: [86][6370/7045]	Time 0.586 (0.246)	Data 0.527 (0.181)	Loss 2.5567 (2.5048)	Prec@1 41.016 (39.112)	Prec@5 71.484 (68.993)
Epoch: [86][6380/7045]	Time 0.217 (0.246)	Data 0.165 (0.181)	Loss 2.3478 (2.5048)	Prec@1 43.359 (39.111)	Prec@5 71.484 (68.995)
Epoch: [86][6390/7045]	Time 0.200 (0.246)	Data 0.149 (0.181)	Loss 2.6101 (2.5048)	Prec@1 35.547 (39.110)	Prec@5 63.672 (68.993)
Epoch: [86][6400/7045]	Time 0.660 (0.246)	Data 0.608 (0.181)	Loss 2.4337 (2.5048)	Prec@1 43.359 (39.112)	Prec@5 69.141 (68.993)
Epoch: [86][6410/7045]	Time 0.129 (0.246)	Data 0.068 (0.181)	Loss 2.6954 (2.5048)	Prec@1 32.422 (39.112)	Prec@5 66.016 (68.995)
Epoch: [86][6420/7045]	Time 0.454 (0.246)	Data 0.403 (0.181)	Loss 2.6020 (2.5048)	Prec@1 36.719 (39.113)	Prec@5 66.406 (68.995)
Epoch: [86][6430/7045]	Time 0.346 (0.246)	Data 0.295 (0.181)	Loss 2.7092 (2.5047)	Prec@1 36.328 (39.114)	Prec@5 61.719 (68.996)
Epoch: [86][6440/7045]	Time 0.144 (0.246)	Data 0.092 (0.181)	Loss 2.5836 (2.5047)	Prec@1 38.281 (39.114)	Prec@5 66.016 (68.995)
Epoch: [86][6450/7045]	Time 0.514 (0.246)	Data 0.455 (0.181)	Loss 2.4235 (2.5046)	Prec@1 39.062 (39.116)	Prec@5 69.531 (68.995)
Epoch: [86][6460/7045]	Time 0.110 (0.246)	Data 0.058 (0.181)	Loss 2.4930 (2.5047)	Prec@1 42.188 (39.115)	Prec@5 70.312 (68.995)
Epoch: [86][6470/7045]	Time 0.318 (0.246)	Data 0.265 (0.181)	Loss 2.6929 (2.5047)	Prec@1 33.594 (39.116)	Prec@5 66.016 (68.995)
Epoch: [86][6480/7045]	Time 0.103 (0.246)	Data 0.001 (0.181)	Loss 2.5303 (2.5047)	Prec@1 41.016 (39.117)	Prec@5 67.969 (68.994)
Epoch: [86][6490/7045]	Time 0.214 (0.246)	Data 0.157 (0.181)	Loss 2.6211 (2.5047)	Prec@1 33.984 (39.115)	Prec@5 67.969 (68.994)
Epoch: [86][6500/7045]	Time 0.537 (0.246)	Data 0.486 (0.181)	Loss 2.2607 (2.5046)	Prec@1 43.359 (39.117)	Prec@5 68.750 (68.994)
Epoch: [86][6510/7045]	Time 0.103 (0.246)	Data 0.001 (0.181)	Loss 2.4415 (2.5047)	Prec@1 37.500 (39.115)	Prec@5 71.484 (68.993)
Epoch: [86][6520/7045]	Time 0.308 (0.246)	Data 0.255 (0.181)	Loss 2.6331 (2.5047)	Prec@1 35.156 (39.114)	Prec@5 68.750 (68.993)
Epoch: [86][6530/7045]	Time 0.102 (0.246)	Data 0.001 (0.181)	Loss 2.3151 (2.5047)	Prec@1 44.141 (39.116)	Prec@5 73.828 (68.991)
Epoch: [86][6540/7045]	Time 0.511 (0.246)	Data 0.459 (0.181)	Loss 2.5626 (2.5046)	Prec@1 38.672 (39.115)	Prec@5 67.578 (68.992)
Epoch: [86][6550/7045]	Time 0.596 (0.246)	Data 0.543 (0.181)	Loss 2.4158 (2.5046)	Prec@1 37.500 (39.114)	Prec@5 70.703 (68.993)
Epoch: [86][6560/7045]	Time 0.102 (0.246)	Data 0.001 (0.181)	Loss 2.5537 (2.5046)	Prec@1 41.406 (39.113)	Prec@5 67.969 (68.989)
Epoch: [86][6570/7045]	Time 0.103 (0.246)	Data 0.001 (0.181)	Loss 2.5820 (2.5047)	Prec@1 34.375 (39.112)	Prec@5 69.141 (68.989)
Epoch: [86][6580/7045]	Time 0.102 (0.246)	Data 0.001 (0.181)	Loss 2.3679 (2.5047)	Prec@1 44.922 (39.112)	Prec@5 72.656 (68.991)
Epoch: [86][6590/7045]	Time 0.367 (0.246)	Data 0.315 (0.181)	Loss 2.3618 (2.5047)	Prec@1 43.359 (39.114)	Prec@5 70.312 (68.990)
Epoch: [86][6600/7045]	Time 0.308 (0.246)	Data 0.255 (0.181)	Loss 2.4492 (2.5047)	Prec@1 37.891 (39.114)	Prec@5 67.969 (68.990)
Epoch: [86][6610/7045]	Time 0.253 (0.246)	Data 0.201 (0.181)	Loss 2.5796 (2.5047)	Prec@1 42.578 (39.117)	Prec@5 64.453 (68.989)
Epoch: [86][6620/7045]	Time 0.223 (0.246)	Data 0.171 (0.181)	Loss 2.7594 (2.5048)	Prec@1 34.375 (39.114)	Prec@5 65.234 (68.987)
Epoch: [86][6630/7045]	Time 0.103 (0.246)	Data 0.001 (0.181)	Loss 2.5733 (2.5048)	Prec@1 36.719 (39.114)	Prec@5 70.703 (68.988)
Epoch: [86][6640/7045]	Time 0.337 (0.246)	Data 0.287 (0.181)	Loss 2.4426 (2.5048)	Prec@1 37.109 (39.114)	Prec@5 72.266 (68.989)
Epoch: [86][6650/7045]	Time 0.102 (0.246)	Data 0.001 (0.181)	Loss 2.3665 (2.5048)	Prec@1 37.891 (39.113)	Prec@5 71.875 (68.989)
Epoch: [86][6660/7045]	Time 0.107 (0.246)	Data 0.005 (0.181)	Loss 2.6099 (2.5048)	Prec@1 36.719 (39.114)	Prec@5 66.016 (68.988)
Epoch: [86][6670/7045]	Time 0.662 (0.246)	Data 0.609 (0.181)	Loss 2.4662 (2.5049)	Prec@1 38.281 (39.111)	Prec@5 69.922 (68.987)
Epoch: [86][6680/7045]	Time 0.107 (0.246)	Data 0.055 (0.181)	Loss 2.6366 (2.5048)	Prec@1 38.672 (39.112)	Prec@5 67.188 (68.988)
Epoch: [86][6690/7045]	Time 0.228 (0.246)	Data 0.171 (0.181)	Loss 2.3217 (2.5049)	Prec@1 42.578 (39.112)	Prec@5 73.438 (68.986)
Epoch: [86][6700/7045]	Time 0.102 (0.246)	Data 0.001 (0.181)	Loss 2.5646 (2.5050)	Prec@1 34.766 (39.109)	Prec@5 69.922 (68.984)
Epoch: [86][6710/7045]	Time 0.103 (0.246)	Data 0.001 (0.181)	Loss 2.5440 (2.5049)	Prec@1 34.766 (39.110)	Prec@5 68.750 (68.985)
Epoch: [86][6720/7045]	Time 0.195 (0.246)	Data 0.143 (0.181)	Loss 2.6177 (2.5049)	Prec@1 38.672 (39.110)	Prec@5 66.797 (68.985)
Epoch: [86][6730/7045]	Time 0.102 (0.246)	Data 0.001 (0.181)	Loss 2.4669 (2.5048)	Prec@1 37.891 (39.111)	Prec@5 69.531 (68.986)
Epoch: [86][6740/7045]	Time 0.236 (0.246)	Data 0.183 (0.181)	Loss 2.3328 (2.5048)	Prec@1 42.969 (39.112)	Prec@5 71.094 (68.985)
Epoch: [86][6750/7045]	Time 0.414 (0.246)	Data 0.362 (0.181)	Loss 2.5313 (2.5047)	Prec@1 37.891 (39.111)	Prec@5 67.969 (68.986)
Epoch: [86][6760/7045]	Time 0.376 (0.246)	Data 0.325 (0.181)	Loss 2.5725 (2.5047)	Prec@1 37.891 (39.108)	Prec@5 66.797 (68.986)
Epoch: [86][6770/7045]	Time 0.109 (0.246)	Data 0.001 (0.181)	Loss 2.6304 (2.5047)	Prec@1 37.109 (39.106)	Prec@5 64.453 (68.986)
Epoch: [86][6780/7045]	Time 0.286 (0.246)	Data 0.234 (0.181)	Loss 2.5281 (2.5047)	Prec@1 37.500 (39.106)	Prec@5 69.922 (68.986)
Epoch: [86][6790/7045]	Time 0.109 (0.246)	Data 0.006 (0.181)	Loss 2.6095 (2.5049)	Prec@1 33.984 (39.103)	Prec@5 66.406 (68.982)
Epoch: [86][6800/7045]	Time 0.521 (0.246)	Data 0.462 (0.181)	Loss 2.6739 (2.5049)	Prec@1 35.938 (39.102)	Prec@5 64.453 (68.983)
Epoch: [86][6810/7045]	Time 0.102 (0.246)	Data 0.007 (0.181)	Loss 2.4247 (2.5049)	Prec@1 41.406 (39.102)	Prec@5 71.094 (68.983)
Epoch: [86][6820/7045]	Time 0.527 (0.246)	Data 0.476 (0.181)	Loss 2.3723 (2.5049)	Prec@1 37.109 (39.103)	Prec@5 72.656 (68.984)
Epoch: [86][6830/7045]	Time 0.150 (0.246)	Data 0.098 (0.181)	Loss 2.3066 (2.5048)	Prec@1 42.578 (39.105)	Prec@5 71.094 (68.984)
Epoch: [86][6840/7045]	Time 0.307 (0.246)	Data 0.255 (0.181)	Loss 2.5542 (2.5048)	Prec@1 37.500 (39.105)	Prec@5 68.359 (68.983)
Epoch: [86][6850/7045]	Time 0.246 (0.246)	Data 0.194 (0.181)	Loss 2.6654 (2.5048)	Prec@1 36.328 (39.104)	Prec@5 64.062 (68.983)
Epoch: [86][6860/7045]	Time 0.249 (0.246)	Data 0.198 (0.181)	Loss 2.3484 (2.5047)	Prec@1 37.500 (39.106)	Prec@5 74.219 (68.985)
Epoch: [86][6870/7045]	Time 0.123 (0.246)	Data 0.063 (0.181)	Loss 2.5488 (2.5047)	Prec@1 38.672 (39.106)	Prec@5 67.969 (68.984)
Epoch: [86][6880/7045]	Time 0.102 (0.246)	Data 0.001 (0.181)	Loss 2.3083 (2.5048)	Prec@1 41.406 (39.104)	Prec@5 72.656 (68.984)
Epoch: [86][6890/7045]	Time 0.110 (0.246)	Data 0.001 (0.181)	Loss 2.6485 (2.5048)	Prec@1 37.109 (39.105)	Prec@5 68.359 (68.984)
Epoch: [86][6900/7045]	Time 0.733 (0.246)	Data 0.673 (0.181)	Loss 2.5618 (2.5049)	Prec@1 35.156 (39.105)	Prec@5 69.141 (68.983)
Epoch: [86][6910/7045]	Time 0.102 (0.246)	Data 0.001 (0.181)	Loss 2.3637 (2.5048)	Prec@1 45.703 (39.107)	Prec@5 73.047 (68.984)
Epoch: [86][6920/7045]	Time 0.338 (0.246)	Data 0.287 (0.181)	Loss 2.6027 (2.5048)	Prec@1 37.109 (39.105)	Prec@5 65.625 (68.984)
Epoch: [86][6930/7045]	Time 0.175 (0.246)	Data 0.123 (0.181)	Loss 2.5370 (2.5049)	Prec@1 39.062 (39.105)	Prec@5 69.922 (68.984)
Epoch: [86][6940/7045]	Time 0.352 (0.246)	Data 0.300 (0.181)	Loss 2.4470 (2.5048)	Prec@1 38.672 (39.106)	Prec@5 69.922 (68.985)
Epoch: [86][6950/7045]	Time 0.448 (0.246)	Data 0.397 (0.181)	Loss 2.4766 (2.5048)	Prec@1 41.406 (39.106)	Prec@5 71.094 (68.985)
Epoch: [86][6960/7045]	Time 0.341 (0.246)	Data 0.282 (0.181)	Loss 2.6157 (2.5048)	Prec@1 36.719 (39.106)	Prec@5 66.406 (68.985)
Epoch: [86][6970/7045]	Time 0.514 (0.246)	Data 0.462 (0.181)	Loss 2.6669 (2.5048)	Prec@1 40.234 (39.106)	Prec@5 66.016 (68.984)
Epoch: [86][6980/7045]	Time 0.101 (0.246)	Data 0.001 (0.181)	Loss 2.4130 (2.5047)	Prec@1 37.500 (39.106)	Prec@5 73.438 (68.986)
Epoch: [86][6990/7045]	Time 0.442 (0.246)	Data 0.390 (0.181)	Loss 2.4640 (2.5048)	Prec@1 39.844 (39.106)	Prec@5 69.531 (68.985)
Epoch: [86][7000/7045]	Time 0.115 (0.246)	Data 0.063 (0.181)	Loss 2.5939 (2.5047)	Prec@1 34.766 (39.108)	Prec@5 67.969 (68.987)
Epoch: [86][7010/7045]	Time 0.178 (0.246)	Data 0.127 (0.181)	Loss 2.5258 (2.5046)	Prec@1 40.625 (39.107)	Prec@5 68.359 (68.989)
Epoch: [86][7020/7045]	Time 0.102 (0.246)	Data 0.001 (0.181)	Loss 2.6080 (2.5047)	Prec@1 39.844 (39.107)	Prec@5 66.406 (68.988)
Epoch: [86][7030/7045]	Time 0.164 (0.246)	Data 0.111 (0.181)	Loss 2.3588 (2.5047)	Prec@1 43.359 (39.106)	Prec@5 69.531 (68.987)
Epoch: [86][7040/7045]	Time 0.369 (0.246)	Data 0.311 (0.181)	Loss 2.3678 (2.5046)	Prec@1 39.453 (39.107)	Prec@5 70.703 (68.988)
Test: [0/143]	Time 1.197 (1.197)	Loss 2.1111 (2.1111)	Prec@1 50.000 (50.000)	Prec@5 75.391 (75.391)
Test: [10/143]	Time 0.113 (0.252)	Loss 1.6618 (2.0032)	Prec@1 61.719 (50.462)	Prec@5 82.812 (78.551)
Test: [20/143]	Time 0.448 (0.227)	Loss 2.2062 (1.9851)	Prec@1 44.922 (49.219)	Prec@5 76.172 (79.390)
Test: [30/143]	Time 0.108 (0.210)	Loss 2.1008 (1.9977)	Prec@1 51.172 (49.294)	Prec@5 73.047 (78.553)
Test: [40/143]	Time 0.058 (0.201)	Loss 2.8165 (2.0536)	Prec@1 22.656 (47.856)	Prec@5 64.844 (77.477)
Test: [50/143]	Time 0.366 (0.200)	Loss 1.7742 (2.1018)	Prec@1 49.219 (46.193)	Prec@5 84.766 (77.030)
Test: [60/143]	Time 0.059 (0.194)	Loss 2.4326 (2.0922)	Prec@1 34.375 (46.324)	Prec@5 72.266 (77.184)
Test: [70/143]	Time 0.215 (0.195)	Loss 2.9007 (2.0822)	Prec@1 27.344 (46.704)	Prec@5 64.844 (77.360)
Test: [80/143]	Time 0.070 (0.192)	Loss 2.0121 (2.0682)	Prec@1 48.438 (46.981)	Prec@5 81.641 (77.783)
Test: [90/143]	Time 0.113 (0.191)	Loss 1.6384 (2.0621)	Prec@1 60.547 (47.085)	Prec@5 88.281 (77.915)
Test: [100/143]	Time 0.048 (0.191)	Loss 1.8228 (2.0616)	Prec@1 55.469 (47.026)	Prec@5 84.375 (78.021)
Test: [110/143]	Time 0.460 (0.191)	Loss 1.8331 (2.0561)	Prec@1 51.172 (47.283)	Prec@5 81.250 (78.143)
Test: [120/143]	Time 0.049 (0.189)	Loss 1.7239 (2.0478)	Prec@1 55.859 (47.582)	Prec@5 85.938 (78.290)
Test: [130/143]	Time 0.267 (0.189)	Loss 1.5750 (2.0564)	Prec@1 62.891 (47.525)	Prec@5 82.031 (78.113)
Test: [140/143]	Time 0.503 (0.190)	Loss 2.9857 (2.0800)	Prec@1 26.172 (46.955)	Prec@5 66.406 (77.754)
 * Prec@1 46.964 Prec@5 77.764
Epoch: [87][0/7045]	Time 2.447 (2.447)	Data 2.390 (2.390)	Loss 2.4681 (2.4681)	Prec@1 36.719 (36.719)	Prec@5 69.922 (69.922)
Epoch: [87][10/7045]	Time 0.265 (0.416)	Data 0.208 (0.336)	Loss 2.5473 (2.5014)	Prec@1 41.797 (39.134)	Prec@5 65.625 (68.395)
Epoch: [87][20/7045]	Time 0.221 (0.338)	Data 0.163 (0.261)	Loss 2.4592 (2.4536)	Prec@1 39.062 (40.290)	Prec@5 69.922 (69.754)
Epoch: [87][30/7045]	Time 0.594 (0.313)	Data 0.541 (0.242)	Loss 2.4512 (2.4617)	Prec@1 38.281 (40.045)	Prec@5 72.266 (69.884)
Epoch: [87][40/7045]	Time 0.149 (0.292)	Data 0.097 (0.222)	Loss 2.6343 (2.4694)	Prec@1 37.891 (40.063)	Prec@5 66.406 (69.684)
Epoch: [87][50/7045]	Time 0.435 (0.284)	Data 0.383 (0.216)	Loss 2.4504 (2.4853)	Prec@1 42.578 (39.660)	Prec@5 69.531 (69.363)
Epoch: [87][60/7045]	Time 0.209 (0.275)	Data 0.157 (0.209)	Loss 2.5367 (2.4959)	Prec@1 41.016 (39.511)	Prec@5 67.969 (69.070)
Epoch: [87][70/7045]	Time 0.108 (0.273)	Data 0.001 (0.208)	Loss 2.6106 (2.4933)	Prec@1 36.328 (39.646)	Prec@5 69.141 (69.119)
Epoch: [87][80/7045]	Time 0.105 (0.267)	Data 0.052 (0.202)	Loss 2.4662 (2.4876)	Prec@1 39.453 (39.675)	Prec@5 71.484 (69.194)
Epoch: [87][90/7045]	Time 0.171 (0.265)	Data 0.119 (0.202)	Loss 2.5349 (2.4843)	Prec@1 36.719 (39.685)	Prec@5 71.094 (69.450)
Epoch: [87][100/7045]	Time 0.245 (0.263)	Data 0.193 (0.200)	Loss 2.4530 (2.4837)	Prec@1 41.406 (39.670)	Prec@5 64.453 (69.415)
Epoch: [87][110/7045]	Time 0.155 (0.260)	Data 0.104 (0.198)	Loss 2.3521 (2.4830)	Prec@1 38.672 (39.615)	Prec@5 73.047 (69.394)
Epoch: [87][120/7045]	Time 0.475 (0.260)	Data 0.423 (0.199)	Loss 2.4163 (2.4787)	Prec@1 41.016 (39.682)	Prec@5 69.141 (69.505)
Epoch: [87][130/7045]	Time 0.205 (0.258)	Data 0.147 (0.197)	Loss 2.7385 (2.4798)	Prec@1 34.766 (39.602)	Prec@5 63.672 (69.546)
Epoch: [87][140/7045]	Time 0.262 (0.257)	Data 0.210 (0.196)	Loss 2.5494 (2.4813)	Prec@1 33.594 (39.445)	Prec@5 69.922 (69.601)
Epoch: [87][150/7045]	Time 0.318 (0.256)	Data 0.265 (0.195)	Loss 2.4207 (2.4829)	Prec@1 43.750 (39.438)	Prec@5 68.750 (69.552)
Epoch: [87][160/7045]	Time 0.108 (0.255)	Data 0.048 (0.194)	Loss 2.4043 (2.4816)	Prec@1 45.703 (39.526)	Prec@5 68.359 (69.524)
Epoch: [87][170/7045]	Time 0.190 (0.254)	Data 0.138 (0.193)	Loss 2.4103 (2.4785)	Prec@1 39.453 (39.494)	Prec@5 69.531 (69.559)
Epoch: [87][180/7045]	Time 0.178 (0.253)	Data 0.127 (0.193)	Loss 2.5384 (2.4790)	Prec@1 38.281 (39.470)	Prec@5 70.312 (69.527)
Epoch: [87][190/7045]	Time 0.102 (0.253)	Data 0.005 (0.192)	Loss 2.2780 (2.4808)	Prec@1 45.312 (39.496)	Prec@5 74.609 (69.507)
Epoch: [87][200/7045]	Time 0.126 (0.252)	Data 0.074 (0.191)	Loss 2.5734 (2.4832)	Prec@1 33.984 (39.408)	Prec@5 67.188 (69.452)
Epoch: [87][210/7045]	Time 0.256 (0.252)	Data 0.204 (0.192)	Loss 2.4868 (2.4830)	Prec@1 42.969 (39.388)	Prec@5 69.141 (69.481)
Epoch: [87][220/7045]	Time 0.243 (0.251)	Data 0.192 (0.191)	Loss 2.4569 (2.4800)	Prec@1 41.016 (39.467)	Prec@5 70.312 (69.492)
Epoch: [87][230/7045]	Time 0.258 (0.251)	Data 0.201 (0.191)	Loss 2.5839 (2.4796)	Prec@1 35.938 (39.468)	Prec@5 64.844 (69.514)
Epoch: [87][240/7045]	Time 0.679 (0.252)	Data 0.627 (0.192)	Loss 2.7094 (2.4814)	Prec@1 36.328 (39.388)	Prec@5 64.062 (69.504)
Epoch: [87][250/7045]	Time 0.102 (0.250)	Data 0.001 (0.190)	Loss 2.4434 (2.4819)	Prec@1 41.016 (39.336)	Prec@5 70.703 (69.486)
Epoch: [87][260/7045]	Time 0.507 (0.250)	Data 0.455 (0.190)	Loss 2.4766 (2.4845)	Prec@1 37.891 (39.244)	Prec@5 66.797 (69.450)
Epoch: [87][270/7045]	Time 0.102 (0.249)	Data 0.001 (0.188)	Loss 2.6093 (2.4845)	Prec@1 36.328 (39.225)	Prec@5 64.062 (69.475)
Epoch: [87][280/7045]	Time 0.110 (0.250)	Data 0.058 (0.188)	Loss 2.4909 (2.4856)	Prec@1 39.844 (39.190)	Prec@5 70.703 (69.462)
Epoch: [87][290/7045]	Time 0.102 (0.249)	Data 0.001 (0.187)	Loss 2.7731 (2.4863)	Prec@1 35.938 (39.194)	Prec@5 66.797 (69.464)
Epoch: [87][300/7045]	Time 0.198 (0.250)	Data 0.140 (0.188)	Loss 2.5602 (2.4865)	Prec@1 37.109 (39.175)	Prec@5 70.703 (69.435)
Epoch: [87][310/7045]	Time 0.191 (0.248)	Data 0.139 (0.186)	Loss 2.7739 (2.4876)	Prec@1 32.812 (39.179)	Prec@5 63.281 (69.422)
Epoch: [87][320/7045]	Time 0.120 (0.249)	Data 0.068 (0.186)	Loss 2.3060 (2.4873)	Prec@1 45.312 (39.200)	Prec@5 74.219 (69.411)
Epoch: [87][330/7045]	Time 0.581 (0.249)	Data 0.523 (0.187)	Loss 2.7704 (2.4889)	Prec@1 32.031 (39.171)	Prec@5 62.500 (69.359)
Epoch: [87][340/7045]	Time 0.102 (0.249)	Data 0.001 (0.186)	Loss 2.3791 (2.4910)	Prec@1 41.797 (39.167)	Prec@5 70.312 (69.320)
Epoch: [87][350/7045]	Time 0.618 (0.249)	Data 0.558 (0.185)	Loss 2.6463 (2.4919)	Prec@1 39.062 (39.150)	Prec@5 67.969 (69.299)
Epoch: [87][360/7045]	Time 0.102 (0.248)	Data 0.001 (0.184)	Loss 2.4853 (2.4903)	Prec@1 40.234 (39.174)	Prec@5 69.141 (69.315)
Epoch: [87][370/7045]	Time 0.212 (0.248)	Data 0.160 (0.184)	Loss 2.7272 (2.4915)	Prec@1 37.500 (39.173)	Prec@5 66.406 (69.261)
Epoch: [87][380/7045]	Time 0.103 (0.247)	Data 0.001 (0.183)	Loss 2.6238 (2.4923)	Prec@1 35.156 (39.146)	Prec@5 68.750 (69.245)
Epoch: [87][390/7045]	Time 0.107 (0.248)	Data 0.005 (0.183)	Loss 2.3854 (2.4916)	Prec@1 39.844 (39.203)	Prec@5 73.047 (69.249)
Epoch: [87][400/7045]	Time 0.111 (0.247)	Data 0.058 (0.182)	Loss 2.3786 (2.4916)	Prec@1 43.359 (39.211)	Prec@5 70.312 (69.260)
Epoch: [87][410/7045]	Time 0.111 (0.247)	Data 0.059 (0.182)	Loss 2.5489 (2.4922)	Prec@1 35.156 (39.191)	Prec@5 71.094 (69.260)
Epoch: [87][420/7045]	Time 0.670 (0.248)	Data 0.612 (0.182)	Loss 2.4703 (2.4945)	Prec@1 42.578 (39.145)	Prec@5 71.094 (69.218)
Epoch: [87][430/7045]	Time 0.103 (0.247)	Data 0.001 (0.181)	Loss 2.7656 (2.4941)	Prec@1 32.031 (39.166)	Prec@5 60.938 (69.218)
Epoch: [87][440/7045]	Time 0.619 (0.247)	Data 0.568 (0.181)	Loss 2.4422 (2.4939)	Prec@1 41.406 (39.158)	Prec@5 69.531 (69.211)
Epoch: [87][450/7045]	Time 0.110 (0.246)	Data 0.057 (0.180)	Loss 2.3829 (2.4939)	Prec@1 43.750 (39.166)	Prec@5 71.094 (69.208)
Epoch: [87][460/7045]	Time 0.196 (0.247)	Data 0.144 (0.181)	Loss 2.4348 (2.4954)	Prec@1 42.578 (39.134)	Prec@5 70.312 (69.192)
Epoch: [87][470/7045]	Time 0.103 (0.246)	Data 0.001 (0.180)	Loss 2.6012 (2.4957)	Prec@1 37.891 (39.158)	Prec@5 68.359 (69.187)
Epoch: [87][480/7045]	Time 0.102 (0.246)	Data 0.006 (0.180)	Loss 2.6018 (2.4951)	Prec@1 37.500 (39.157)	Prec@5 66.016 (69.197)
Epoch: [87][490/7045]	Time 0.212 (0.246)	Data 0.160 (0.180)	Loss 2.5637 (2.4955)	Prec@1 36.719 (39.175)	Prec@5 67.188 (69.178)
Epoch: [87][500/7045]	Time 0.102 (0.246)	Data 0.004 (0.180)	Loss 2.5393 (2.4948)	Prec@1 38.672 (39.197)	Prec@5 67.969 (69.200)
Epoch: [87][510/7045]	Time 0.743 (0.247)	Data 0.693 (0.180)	Loss 2.4892 (2.4948)	Prec@1 36.719 (39.189)	Prec@5 68.359 (69.195)
Epoch: [87][520/7045]	Time 0.154 (0.246)	Data 0.102 (0.179)	Loss 2.4152 (2.4955)	Prec@1 43.750 (39.175)	Prec@5 71.484 (69.180)
Epoch: [87][530/7045]	Time 0.512 (0.246)	Data 0.461 (0.179)	Loss 2.4443 (2.4957)	Prec@1 39.062 (39.157)	Prec@5 71.484 (69.173)
Epoch: [87][540/7045]	Time 0.219 (0.246)	Data 0.168 (0.179)	Loss 2.6320 (2.4950)	Prec@1 39.844 (39.153)	Prec@5 62.891 (69.177)
Epoch: [87][550/7045]	Time 0.102 (0.246)	Data 0.006 (0.179)	Loss 2.5393 (2.4964)	Prec@1 39.453 (39.121)	Prec@5 69.922 (69.136)
Epoch: [87][560/7045]	Time 0.102 (0.245)	Data 0.004 (0.178)	Loss 2.5223 (2.4974)	Prec@1 41.016 (39.106)	Prec@5 69.922 (69.109)
Epoch: [87][570/7045]	Time 0.102 (0.246)	Data 0.003 (0.178)	Loss 2.5826 (2.4979)	Prec@1 38.672 (39.086)	Prec@5 66.406 (69.094)
Epoch: [87][580/7045]	Time 0.158 (0.245)	Data 0.105 (0.178)	Loss 2.5056 (2.4989)	Prec@1 41.016 (39.063)	Prec@5 68.750 (69.063)
Epoch: [87][590/7045]	Time 0.107 (0.245)	Data 0.054 (0.178)	Loss 2.3712 (2.4987)	Prec@1 41.016 (39.061)	Prec@5 71.094 (69.073)
Epoch: [87][600/7045]	Time 0.491 (0.246)	Data 0.433 (0.179)	Loss 2.6119 (2.5000)	Prec@1 35.547 (39.037)	Prec@5 66.797 (69.054)
Epoch: [87][610/7045]	Time 0.269 (0.245)	Data 0.217 (0.179)	Loss 2.2262 (2.5006)	Prec@1 41.016 (39.037)	Prec@5 73.438 (69.042)
Epoch: [87][620/7045]	Time 0.361 (0.245)	Data 0.302 (0.179)	Loss 2.7206 (2.5019)	Prec@1 34.766 (39.012)	Prec@5 65.625 (69.010)
Epoch: [87][630/7045]	Time 0.361 (0.245)	Data 0.308 (0.179)	Loss 2.5025 (2.5021)	Prec@1 34.766 (39.019)	Prec@5 69.531 (69.003)
Epoch: [87][640/7045]	Time 0.102 (0.245)	Data 0.001 (0.179)	Loss 2.3415 (2.5018)	Prec@1 41.016 (39.016)	Prec@5 75.000 (69.008)
Epoch: [87][650/7045]	Time 0.195 (0.245)	Data 0.144 (0.178)	Loss 2.3848 (2.5015)	Prec@1 40.625 (39.020)	Prec@5 71.094 (69.001)
Epoch: [87][660/7045]	Time 0.102 (0.245)	Data 0.007 (0.178)	Loss 2.5407 (2.5030)	Prec@1 38.281 (38.997)	Prec@5 69.922 (68.970)
Epoch: [87][670/7045]	Time 0.267 (0.245)	Data 0.215 (0.178)	Loss 2.4153 (2.5033)	Prec@1 43.750 (39.002)	Prec@5 70.703 (68.964)
Epoch: [87][680/7045]	Time 0.102 (0.245)	Data 0.001 (0.178)	Loss 2.3434 (2.5027)	Prec@1 38.672 (39.001)	Prec@5 71.094 (68.990)
Epoch: [87][690/7045]	Time 0.543 (0.245)	Data 0.492 (0.178)	Loss 2.5503 (2.5028)	Prec@1 42.578 (38.997)	Prec@5 68.359 (68.983)
Epoch: [87][700/7045]	Time 0.304 (0.245)	Data 0.253 (0.178)	Loss 2.5574 (2.5029)	Prec@1 35.156 (38.987)	Prec@5 67.188 (68.971)
Epoch: [87][710/7045]	Time 0.360 (0.245)	Data 0.309 (0.178)	Loss 2.4278 (2.5032)	Prec@1 41.797 (38.977)	Prec@5 70.312 (68.952)
Epoch: [87][720/7045]	Time 0.364 (0.245)	Data 0.312 (0.178)	Loss 2.4585 (2.5036)	Prec@1 37.109 (38.960)	Prec@5 70.312 (68.953)
Epoch: [87][730/7045]	Time 0.113 (0.245)	Data 0.060 (0.178)	Loss 2.4687 (2.5043)	Prec@1 35.938 (38.936)	Prec@5 69.922 (68.931)
Epoch: [87][740/7045]	Time 0.146 (0.244)	Data 0.093 (0.178)	Loss 2.5333 (2.5042)	Prec@1 33.203 (38.948)	Prec@5 68.359 (68.931)
Epoch: [87][750/7045]	Time 0.121 (0.244)	Data 0.069 (0.178)	Loss 2.5853 (2.5047)	Prec@1 36.719 (38.929)	Prec@5 67.188 (68.913)
Epoch: [87][760/7045]	Time 0.341 (0.244)	Data 0.288 (0.178)	Loss 2.3362 (2.5037)	Prec@1 43.359 (38.941)	Prec@5 73.438 (68.927)
Epoch: [87][770/7045]	Time 0.101 (0.244)	Data 0.001 (0.178)	Loss 2.7133 (2.5035)	Prec@1 36.719 (38.942)	Prec@5 64.062 (68.932)
Epoch: [87][780/7045]	Time 0.569 (0.245)	Data 0.517 (0.178)	Loss 2.6220 (2.5037)	Prec@1 40.234 (38.945)	Prec@5 66.797 (68.925)
Epoch: [87][790/7045]	Time 0.312 (0.244)	Data 0.259 (0.178)	Loss 2.5273 (2.5026)	Prec@1 36.719 (38.942)	Prec@5 70.703 (68.950)
Epoch: [87][800/7045]	Time 0.343 (0.244)	Data 0.292 (0.178)	Loss 2.5996 (2.5027)	Prec@1 33.984 (38.921)	Prec@5 67.578 (68.944)
Epoch: [87][810/7045]	Time 0.246 (0.244)	Data 0.195 (0.178)	Loss 2.4692 (2.5028)	Prec@1 37.500 (38.925)	Prec@5 70.312 (68.943)
Epoch: [87][820/7045]	Time 0.108 (0.244)	Data 0.005 (0.178)	Loss 2.3207 (2.5024)	Prec@1 46.484 (38.930)	Prec@5 72.266 (68.953)
Epoch: [87][830/7045]	Time 0.102 (0.244)	Data 0.005 (0.177)	Loss 2.5391 (2.5026)	Prec@1 38.672 (38.930)	Prec@5 68.359 (68.943)
Epoch: [87][840/7045]	Time 0.102 (0.244)	Data 0.005 (0.177)	Loss 2.4389 (2.5020)	Prec@1 39.453 (38.951)	Prec@5 71.484 (68.946)
Epoch: [87][850/7045]	Time 0.456 (0.244)	Data 0.405 (0.178)	Loss 2.4816 (2.5013)	Prec@1 38.672 (38.961)	Prec@5 68.750 (68.959)
Epoch: [87][860/7045]	Time 0.109 (0.244)	Data 0.001 (0.177)	Loss 2.3893 (2.5018)	Prec@1 41.797 (38.958)	Prec@5 69.531 (68.948)
Epoch: [87][870/7045]	Time 0.589 (0.244)	Data 0.539 (0.178)	Loss 2.3587 (2.5014)	Prec@1 39.844 (38.975)	Prec@5 72.266 (68.951)
Epoch: [87][880/7045]	Time 0.244 (0.244)	Data 0.193 (0.177)	Loss 2.2591 (2.5011)	Prec@1 39.844 (38.978)	Prec@5 76.172 (68.969)
Epoch: [87][890/7045]	Time 0.256 (0.244)	Data 0.205 (0.177)	Loss 2.5552 (2.5009)	Prec@1 41.016 (38.982)	Prec@5 68.750 (68.981)
Epoch: [87][900/7045]	Time 0.175 (0.244)	Data 0.125 (0.177)	Loss 2.6036 (2.5012)	Prec@1 37.891 (38.976)	Prec@5 67.188 (68.978)
Epoch: [87][910/7045]	Time 0.101 (0.244)	Data 0.001 (0.177)	Loss 2.5441 (2.5007)	Prec@1 40.234 (38.988)	Prec@5 65.625 (68.984)
Epoch: [87][920/7045]	Time 0.102 (0.244)	Data 0.006 (0.177)	Loss 2.3935 (2.5006)	Prec@1 40.234 (38.995)	Prec@5 71.094 (68.987)
Epoch: [87][930/7045]	Time 0.102 (0.244)	Data 0.002 (0.177)	Loss 2.7880 (2.5015)	Prec@1 38.281 (38.993)	Prec@5 61.328 (68.956)
Epoch: [87][940/7045]	Time 0.362 (0.244)	Data 0.303 (0.177)	Loss 2.4086 (2.5018)	Prec@1 35.938 (38.989)	Prec@5 69.922 (68.949)
Epoch: [87][950/7045]	Time 0.102 (0.244)	Data 0.001 (0.177)	Loss 2.5175 (2.5016)	Prec@1 38.672 (39.001)	Prec@5 68.359 (68.946)
Epoch: [87][960/7045]	Time 0.440 (0.244)	Data 0.382 (0.177)	Loss 2.3686 (2.5018)	Prec@1 39.062 (39.003)	Prec@5 73.047 (68.941)
Epoch: [87][970/7045]	Time 0.458 (0.244)	Data 0.406 (0.177)	Loss 2.5990 (2.5022)	Prec@1 34.375 (39.005)	Prec@5 67.188 (68.934)
Epoch: [87][980/7045]	Time 0.231 (0.244)	Data 0.180 (0.177)	Loss 2.6055 (2.5016)	Prec@1 36.328 (39.014)	Prec@5 68.750 (68.953)
Epoch: [87][990/7045]	Time 0.365 (0.244)	Data 0.313 (0.177)	Loss 2.4629 (2.5016)	Prec@1 36.328 (39.018)	Prec@5 67.969 (68.954)
Epoch: [87][1000/7045]	Time 0.102 (0.244)	Data 0.007 (0.177)	Loss 2.3500 (2.5013)	Prec@1 43.359 (39.022)	Prec@5 72.656 (68.963)
Epoch: [87][1010/7045]	Time 0.101 (0.243)	Data 0.008 (0.177)	Loss 2.5256 (2.5005)	Prec@1 41.016 (39.032)	Prec@5 71.094 (68.976)
Epoch: [87][1020/7045]	Time 0.102 (0.243)	Data 0.006 (0.177)	Loss 2.4651 (2.5004)	Prec@1 42.188 (39.041)	Prec@5 67.578 (68.981)
Epoch: [87][1030/7045]	Time 0.406 (0.244)	Data 0.354 (0.177)	Loss 2.7563 (2.5000)	Prec@1 35.547 (39.053)	Prec@5 66.406 (68.987)
Epoch: [87][1040/7045]	Time 0.119 (0.243)	Data 0.067 (0.177)	Loss 2.3701 (2.4995)	Prec@1 41.016 (39.052)	Prec@5 73.047 (69.001)
Epoch: [87][1050/7045]	Time 0.443 (0.244)	Data 0.392 (0.177)	Loss 2.4681 (2.4996)	Prec@1 37.891 (39.052)	Prec@5 69.141 (69.011)
Epoch: [87][1060/7045]	Time 0.362 (0.244)	Data 0.304 (0.177)	Loss 2.5727 (2.4998)	Prec@1 37.891 (39.058)	Prec@5 67.578 (69.007)
Epoch: [87][1070/7045]	Time 0.137 (0.243)	Data 0.086 (0.177)	Loss 2.5045 (2.4997)	Prec@1 38.281 (39.069)	Prec@5 67.578 (69.006)
Epoch: [87][1080/7045]	Time 0.257 (0.243)	Data 0.205 (0.177)	Loss 2.3362 (2.4997)	Prec@1 44.922 (39.064)	Prec@5 71.875 (69.008)
Epoch: [87][1090/7045]	Time 0.101 (0.243)	Data 0.004 (0.177)	Loss 2.3311 (2.5002)	Prec@1 42.969 (39.062)	Prec@5 73.438 (69.010)
Epoch: [87][1100/7045]	Time 0.102 (0.243)	Data 0.001 (0.177)	Loss 2.3558 (2.5001)	Prec@1 43.359 (39.059)	Prec@5 71.484 (69.021)
Epoch: [87][1110/7045]	Time 0.102 (0.243)	Data 0.004 (0.176)	Loss 2.5810 (2.4997)	Prec@1 38.281 (39.073)	Prec@5 69.141 (69.033)
Epoch: [87][1120/7045]	Time 0.363 (0.244)	Data 0.311 (0.177)	Loss 2.5507 (2.4999)	Prec@1 39.844 (39.077)	Prec@5 68.750 (69.028)
Epoch: [87][1130/7045]	Time 0.102 (0.243)	Data 0.001 (0.176)	Loss 2.5172 (2.4993)	Prec@1 37.109 (39.092)	Prec@5 69.141 (69.028)
Epoch: [87][1140/7045]	Time 0.428 (0.243)	Data 0.375 (0.177)	Loss 2.3590 (2.4999)	Prec@1 43.359 (39.083)	Prec@5 71.484 (69.020)
Epoch: [87][1150/7045]	Time 0.103 (0.243)	Data 0.001 (0.176)	Loss 2.6330 (2.5000)	Prec@1 35.938 (39.080)	Prec@5 66.797 (69.022)
Epoch: [87][1160/7045]	Time 0.394 (0.243)	Data 0.343 (0.176)	Loss 2.3656 (2.4999)	Prec@1 41.797 (39.081)	Prec@5 72.656 (69.033)
Epoch: [87][1170/7045]	Time 0.102 (0.243)	Data 0.001 (0.176)	Loss 2.3526 (2.5001)	Prec@1 41.406 (39.078)	Prec@5 71.484 (69.038)
Epoch: [87][1180/7045]	Time 0.339 (0.243)	Data 0.287 (0.176)	Loss 2.6868 (2.5000)	Prec@1 34.766 (39.079)	Prec@5 67.969 (69.039)
Epoch: [87][1190/7045]	Time 0.102 (0.243)	Data 0.001 (0.176)	Loss 2.3935 (2.4996)	Prec@1 42.188 (39.095)	Prec@5 71.484 (69.048)
Epoch: [87][1200/7045]	Time 0.307 (0.243)	Data 0.255 (0.176)	Loss 2.5004 (2.4994)	Prec@1 40.234 (39.105)	Prec@5 67.969 (69.049)
Epoch: [87][1210/7045]	Time 0.104 (0.243)	Data 0.001 (0.175)	Loss 2.6956 (2.4994)	Prec@1 37.500 (39.108)	Prec@5 67.578 (69.055)
Epoch: [87][1220/7045]	Time 0.280 (0.243)	Data 0.223 (0.175)	Loss 2.6333 (2.4994)	Prec@1 34.766 (39.108)	Prec@5 68.359 (69.057)
Epoch: [87][1230/7045]	Time 0.101 (0.243)	Data 0.001 (0.175)	Loss 2.6390 (2.4998)	Prec@1 35.156 (39.090)	Prec@5 67.578 (69.051)
Epoch: [87][1240/7045]	Time 0.262 (0.243)	Data 0.203 (0.175)	Loss 2.3977 (2.4995)	Prec@1 37.891 (39.091)	Prec@5 74.219 (69.061)
Epoch: [87][1250/7045]	Time 0.102 (0.243)	Data 0.044 (0.175)	Loss 2.5018 (2.4995)	Prec@1 35.156 (39.090)	Prec@5 67.969 (69.063)
Epoch: [87][1260/7045]	Time 0.205 (0.243)	Data 0.146 (0.175)	Loss 2.5229 (2.4995)	Prec@1 38.281 (39.087)	Prec@5 69.922 (69.069)
Epoch: [87][1270/7045]	Time 0.106 (0.242)	Data 0.053 (0.175)	Loss 2.3885 (2.4992)	Prec@1 40.625 (39.094)	Prec@5 70.703 (69.073)
Epoch: [87][1280/7045]	Time 0.206 (0.243)	Data 0.154 (0.175)	Loss 2.2588 (2.4992)	Prec@1 44.922 (39.095)	Prec@5 69.922 (69.074)
Epoch: [87][1290/7045]	Time 0.139 (0.242)	Data 0.086 (0.175)	Loss 2.5105 (2.4991)	Prec@1 40.625 (39.095)	Prec@5 69.141 (69.077)
Epoch: [87][1300/7045]	Time 0.244 (0.242)	Data 0.186 (0.175)	Loss 2.7355 (2.4990)	Prec@1 39.062 (39.094)	Prec@5 62.891 (69.074)
Epoch: [87][1310/7045]	Time 0.183 (0.242)	Data 0.131 (0.175)	Loss 2.3236 (2.4991)	Prec@1 42.969 (39.087)	Prec@5 70.312 (69.071)
Epoch: [87][1320/7045]	Time 0.192 (0.242)	Data 0.132 (0.176)	Loss 2.6669 (2.4989)	Prec@1 35.938 (39.087)	Prec@5 67.188 (69.077)
Epoch: [87][1330/7045]	Time 0.251 (0.242)	Data 0.197 (0.176)	Loss 2.5669 (2.4993)	Prec@1 36.328 (39.071)	Prec@5 68.359 (69.069)
Epoch: [87][1340/7045]	Time 0.169 (0.242)	Data 0.111 (0.176)	Loss 2.5333 (2.4993)	Prec@1 39.062 (39.074)	Prec@5 67.188 (69.067)
Epoch: [87][1350/7045]	Time 0.303 (0.242)	Data 0.251 (0.176)	Loss 2.5077 (2.4993)	Prec@1 33.594 (39.078)	Prec@5 70.312 (69.066)
Epoch: [87][1360/7045]	Time 0.159 (0.242)	Data 0.100 (0.176)	Loss 2.5523 (2.4993)	Prec@1 41.406 (39.086)	Prec@5 70.703 (69.060)
Epoch: [87][1370/7045]	Time 0.321 (0.242)	Data 0.268 (0.176)	Loss 2.4283 (2.4994)	Prec@1 38.672 (39.087)	Prec@5 72.656 (69.055)
Epoch: [87][1380/7045]	Time 0.115 (0.242)	Data 0.055 (0.176)	Loss 2.4365 (2.4987)	Prec@1 39.844 (39.112)	Prec@5 72.656 (69.068)
Epoch: [87][1390/7045]	Time 0.329 (0.242)	Data 0.277 (0.176)	Loss 2.6720 (2.4986)	Prec@1 38.281 (39.111)	Prec@5 63.672 (69.066)
Epoch: [87][1400/7045]	Time 0.102 (0.242)	Data 0.001 (0.176)	Loss 2.6642 (2.4986)	Prec@1 38.672 (39.122)	Prec@5 66.797 (69.072)
Epoch: [87][1410/7045]	Time 0.264 (0.242)	Data 0.211 (0.176)	Loss 2.6292 (2.4986)	Prec@1 37.891 (39.127)	Prec@5 65.234 (69.071)
Epoch: [87][1420/7045]	Time 0.102 (0.242)	Data 0.001 (0.176)	Loss 2.3642 (2.4987)	Prec@1 42.188 (39.124)	Prec@5 70.703 (69.066)
Epoch: [87][1430/7045]	Time 0.283 (0.242)	Data 0.231 (0.176)	Loss 2.2704 (2.4985)	Prec@1 43.359 (39.124)	Prec@5 75.781 (69.070)
Epoch: [87][1440/7045]	Time 0.101 (0.242)	Data 0.003 (0.176)	Loss 2.2821 (2.4986)	Prec@1 44.141 (39.122)	Prec@5 74.609 (69.068)
Epoch: [87][1450/7045]	Time 0.286 (0.242)	Data 0.234 (0.176)	Loss 2.5559 (2.4986)	Prec@1 37.891 (39.125)	Prec@5 68.750 (69.076)
Epoch: [87][1460/7045]	Time 0.102 (0.242)	Data 0.004 (0.176)	Loss 2.4585 (2.4988)	Prec@1 40.625 (39.111)	Prec@5 71.875 (69.071)
Epoch: [87][1470/7045]	Time 0.302 (0.242)	Data 0.250 (0.176)	Loss 2.6809 (2.4987)	Prec@1 35.547 (39.113)	Prec@5 68.750 (69.077)
Epoch: [87][1480/7045]	Time 0.101 (0.242)	Data 0.045 (0.176)	Loss 2.5917 (2.4988)	Prec@1 36.719 (39.107)	Prec@5 67.969 (69.072)
Epoch: [87][1490/7045]	Time 0.288 (0.242)	Data 0.236 (0.176)	Loss 2.4918 (2.4987)	Prec@1 35.938 (39.105)	Prec@5 68.359 (69.076)
Epoch: [87][1500/7045]	Time 0.102 (0.242)	Data 0.046 (0.176)	Loss 2.3798 (2.4987)	Prec@1 41.016 (39.108)	Prec@5 72.656 (69.073)
Epoch: [87][1510/7045]	Time 0.365 (0.242)	Data 0.313 (0.176)	Loss 2.5249 (2.4987)	Prec@1 40.625 (39.106)	Prec@5 68.359 (69.069)
Epoch: [87][1520/7045]	Time 0.105 (0.241)	Data 0.051 (0.176)	Loss 2.1656 (2.4987)	Prec@1 47.656 (39.107)	Prec@5 73.438 (69.070)
Epoch: [87][1530/7045]	Time 0.393 (0.241)	Data 0.340 (0.176)	Loss 2.3580 (2.4984)	Prec@1 42.188 (39.113)	Prec@5 70.703 (69.074)
Epoch: [87][1540/7045]	Time 0.153 (0.241)	Data 0.098 (0.176)	Loss 2.3623 (2.4982)	Prec@1 42.969 (39.122)	Prec@5 70.312 (69.075)
Epoch: [87][1550/7045]	Time 0.342 (0.241)	Data 0.289 (0.176)	Loss 2.6889 (2.4988)	Prec@1 39.453 (39.116)	Prec@5 63.281 (69.066)
Epoch: [87][1560/7045]	Time 0.191 (0.241)	Data 0.139 (0.176)	Loss 2.4221 (2.4988)	Prec@1 39.844 (39.119)	Prec@5 71.875 (69.069)
Epoch: [87][1570/7045]	Time 0.357 (0.241)	Data 0.304 (0.176)	Loss 2.3233 (2.4987)	Prec@1 40.234 (39.123)	Prec@5 75.781 (69.073)
Epoch: [87][1580/7045]	Time 0.221 (0.241)	Data 0.162 (0.176)	Loss 2.4489 (2.4988)	Prec@1 39.453 (39.121)	Prec@5 69.531 (69.070)
Epoch: [87][1590/7045]	Time 0.343 (0.241)	Data 0.291 (0.176)	Loss 2.4701 (2.4991)	Prec@1 37.891 (39.116)	Prec@5 67.578 (69.066)
Epoch: [87][1600/7045]	Time 0.246 (0.241)	Data 0.188 (0.176)	Loss 2.6227 (2.4990)	Prec@1 37.109 (39.122)	Prec@5 68.750 (69.069)
Epoch: [87][1610/7045]	Time 0.388 (0.241)	Data 0.336 (0.176)	Loss 2.6444 (2.4990)	Prec@1 36.328 (39.124)	Prec@5 68.359 (69.068)
Epoch: [87][1620/7045]	Time 0.292 (0.241)	Data 0.239 (0.176)	Loss 2.3435 (2.4985)	Prec@1 40.625 (39.122)	Prec@5 71.875 (69.080)
Epoch: [87][1630/7045]	Time 0.360 (0.241)	Data 0.307 (0.176)	Loss 2.5693 (2.4987)	Prec@1 34.375 (39.112)	Prec@5 67.578 (69.078)
Epoch: [87][1640/7045]	Time 0.298 (0.241)	Data 0.239 (0.176)	Loss 2.2043 (2.4983)	Prec@1 39.062 (39.116)	Prec@5 75.000 (69.088)
Epoch: [87][1650/7045]	Time 0.387 (0.241)	Data 0.334 (0.176)	Loss 2.5182 (2.4989)	Prec@1 41.797 (39.105)	Prec@5 66.016 (69.074)
Epoch: [87][1660/7045]	Time 0.344 (0.241)	Data 0.292 (0.176)	Loss 2.5248 (2.4988)	Prec@1 38.672 (39.102)	Prec@5 68.750 (69.083)
Epoch: [87][1670/7045]	Time 0.357 (0.241)	Data 0.300 (0.176)	Loss 2.2440 (2.4986)	Prec@1 44.531 (39.109)	Prec@5 77.344 (69.087)
Epoch: [87][1680/7045]	Time 0.393 (0.241)	Data 0.341 (0.176)	Loss 2.5848 (2.4988)	Prec@1 38.672 (39.111)	Prec@5 68.750 (69.086)
Epoch: [87][1690/7045]	Time 0.317 (0.241)	Data 0.265 (0.176)	Loss 2.4397 (2.4987)	Prec@1 44.141 (39.116)	Prec@5 68.750 (69.084)
Epoch: [87][1700/7045]	Time 0.358 (0.241)	Data 0.307 (0.176)	Loss 2.6104 (2.4987)	Prec@1 37.500 (39.119)	Prec@5 66.016 (69.080)
Epoch: [87][1710/7045]	Time 0.376 (0.241)	Data 0.324 (0.176)	Loss 2.4724 (2.4989)	Prec@1 41.797 (39.119)	Prec@5 67.188 (69.074)
Epoch: [87][1720/7045]	Time 0.351 (0.241)	Data 0.294 (0.176)	Loss 2.4922 (2.4991)	Prec@1 35.156 (39.112)	Prec@5 69.922 (69.069)
Epoch: [87][1730/7045]	Time 0.374 (0.241)	Data 0.316 (0.176)	Loss 2.5320 (2.4988)	Prec@1 41.797 (39.116)	Prec@5 67.969 (69.074)
Epoch: [87][1740/7045]	Time 0.360 (0.241)	Data 0.303 (0.176)	Loss 2.4807 (2.4989)	Prec@1 43.359 (39.116)	Prec@5 69.922 (69.074)
Epoch: [87][1750/7045]	Time 0.354 (0.241)	Data 0.296 (0.176)	Loss 2.5299 (2.4989)	Prec@1 40.234 (39.121)	Prec@5 68.359 (69.069)
Epoch: [87][1760/7045]	Time 0.367 (0.241)	Data 0.315 (0.176)	Loss 2.5216 (2.4989)	Prec@1 37.891 (39.116)	Prec@5 65.625 (69.065)
Epoch: [87][1770/7045]	Time 0.325 (0.241)	Data 0.273 (0.176)	Loss 2.5386 (2.4987)	Prec@1 36.719 (39.116)	Prec@5 66.016 (69.067)
Epoch: [87][1780/7045]	Time 0.363 (0.241)	Data 0.306 (0.176)	Loss 2.4302 (2.4990)	Prec@1 37.500 (39.102)	Prec@5 68.750 (69.061)
Epoch: [87][1790/7045]	Time 0.371 (0.241)	Data 0.318 (0.176)	Loss 2.6758 (2.4987)	Prec@1 37.891 (39.115)	Prec@5 64.453 (69.067)
Epoch: [87][1800/7045]	Time 0.323 (0.241)	Data 0.271 (0.176)	Loss 2.4615 (2.4984)	Prec@1 41.016 (39.124)	Prec@5 69.531 (69.070)
Epoch: [87][1810/7045]	Time 0.328 (0.241)	Data 0.276 (0.176)	Loss 2.5269 (2.4986)	Prec@1 35.547 (39.116)	Prec@5 71.094 (69.071)
Epoch: [87][1820/7045]	Time 0.330 (0.241)	Data 0.273 (0.176)	Loss 2.4749 (2.4987)	Prec@1 41.797 (39.114)	Prec@5 66.406 (69.069)
Epoch: [87][1830/7045]	Time 0.274 (0.241)	Data 0.223 (0.176)	Loss 2.3300 (2.4988)	Prec@1 41.797 (39.113)	Prec@5 73.047 (69.070)
Epoch: [87][1840/7045]	Time 0.326 (0.241)	Data 0.267 (0.176)	Loss 2.3722 (2.4986)	Prec@1 41.406 (39.114)	Prec@5 70.703 (69.077)
Epoch: [87][1850/7045]	Time 0.283 (0.241)	Data 0.231 (0.176)	Loss 2.5834 (2.4986)	Prec@1 39.844 (39.117)	Prec@5 68.359 (69.076)
Epoch: [87][1860/7045]	Time 0.289 (0.241)	Data 0.231 (0.176)	Loss 2.6939 (2.4988)	Prec@1 36.719 (39.112)	Prec@5 66.406 (69.069)
Epoch: [87][1870/7045]	Time 0.314 (0.240)	Data 0.262 (0.176)	Loss 2.5089 (2.4989)	Prec@1 40.625 (39.110)	Prec@5 69.922 (69.065)
Epoch: [87][1880/7045]	Time 0.296 (0.241)	Data 0.239 (0.176)	Loss 2.6051 (2.4988)	Prec@1 36.328 (39.110)	Prec@5 66.797 (69.063)
Epoch: [87][1890/7045]	Time 0.240 (0.240)	Data 0.188 (0.176)	Loss 2.5126 (2.4988)	Prec@1 39.062 (39.115)	Prec@5 66.797 (69.061)
Epoch: [87][1900/7045]	Time 0.285 (0.240)	Data 0.231 (0.176)	Loss 2.5292 (2.4988)	Prec@1 39.844 (39.113)	Prec@5 67.969 (69.063)
Epoch: [87][1910/7045]	Time 0.227 (0.240)	Data 0.175 (0.176)	Loss 2.4638 (2.4984)	Prec@1 39.453 (39.122)	Prec@5 71.094 (69.069)
Epoch: [87][1920/7045]	Time 0.291 (0.240)	Data 0.240 (0.176)	Loss 2.4466 (2.4986)	Prec@1 41.406 (39.117)	Prec@5 71.875 (69.067)
Epoch: [87][1930/7045]	Time 0.255 (0.240)	Data 0.204 (0.176)	Loss 2.6854 (2.4985)	Prec@1 37.109 (39.120)	Prec@5 70.312 (69.073)
Epoch: [87][1940/7045]	Time 0.233 (0.240)	Data 0.181 (0.176)	Loss 2.5589 (2.4983)	Prec@1 35.938 (39.127)	Prec@5 70.312 (69.082)
Epoch: [87][1950/7045]	Time 0.251 (0.240)	Data 0.199 (0.176)	Loss 2.5668 (2.4983)	Prec@1 36.719 (39.125)	Prec@5 65.625 (69.076)
Epoch: [87][1960/7045]	Time 0.228 (0.240)	Data 0.176 (0.176)	Loss 2.4277 (2.4981)	Prec@1 42.188 (39.122)	Prec@5 67.578 (69.079)
Epoch: [87][1970/7045]	Time 0.224 (0.240)	Data 0.173 (0.176)	Loss 2.3795 (2.4983)	Prec@1 42.578 (39.122)	Prec@5 69.531 (69.079)
Epoch: [87][1980/7045]	Time 0.191 (0.240)	Data 0.139 (0.176)	Loss 2.6882 (2.4984)	Prec@1 35.547 (39.119)	Prec@5 63.281 (69.079)
Epoch: [87][1990/7045]	Time 0.198 (0.240)	Data 0.146 (0.176)	Loss 2.5140 (2.4984)	Prec@1 39.453 (39.118)	Prec@5 65.625 (69.077)
Epoch: [87][2000/7045]	Time 0.183 (0.240)	Data 0.124 (0.176)	Loss 2.3592 (2.4981)	Prec@1 40.234 (39.116)	Prec@5 73.047 (69.085)
Epoch: [87][2010/7045]	Time 0.157 (0.240)	Data 0.106 (0.176)	Loss 2.7578 (2.4983)	Prec@1 38.281 (39.115)	Prec@5 60.547 (69.082)
Epoch: [87][2020/7045]	Time 0.102 (0.240)	Data 0.048 (0.176)	Loss 2.5702 (2.4984)	Prec@1 39.062 (39.111)	Prec@5 69.531 (69.080)
Epoch: [87][2030/7045]	Time 0.113 (0.240)	Data 0.060 (0.176)	Loss 2.5095 (2.4985)	Prec@1 32.422 (39.108)	Prec@5 67.188 (69.080)
Epoch: [87][2040/7045]	Time 0.102 (0.240)	Data 0.004 (0.176)	Loss 2.3966 (2.4987)	Prec@1 41.406 (39.102)	Prec@5 71.484 (69.077)
Epoch: [87][2050/7045]	Time 0.103 (0.240)	Data 0.004 (0.176)	Loss 2.7297 (2.4990)	Prec@1 35.938 (39.097)	Prec@5 62.891 (69.069)
Epoch: [87][2060/7045]	Time 0.102 (0.240)	Data 0.005 (0.176)	Loss 2.7135 (2.4995)	Prec@1 39.844 (39.098)	Prec@5 62.109 (69.053)
Epoch: [87][2070/7045]	Time 0.102 (0.240)	Data 0.001 (0.176)	Loss 2.5746 (2.4995)	Prec@1 37.500 (39.103)	Prec@5 70.703 (69.055)
Epoch: [87][2080/7045]	Time 0.114 (0.240)	Data 0.062 (0.176)	Loss 2.6383 (2.4994)	Prec@1 35.938 (39.109)	Prec@5 67.969 (69.052)
Epoch: [87][2090/7045]	Time 0.102 (0.240)	Data 0.001 (0.176)	Loss 2.5341 (2.4995)	Prec@1 40.234 (39.109)	Prec@5 67.578 (69.056)
Epoch: [87][2100/7045]	Time 0.107 (0.240)	Data 0.054 (0.176)	Loss 2.6460 (2.4997)	Prec@1 37.109 (39.108)	Prec@5 65.234 (69.049)
Epoch: [87][2110/7045]	Time 0.102 (0.240)	Data 0.004 (0.176)	Loss 2.3652 (2.4994)	Prec@1 41.406 (39.116)	Prec@5 69.141 (69.055)
Epoch: [87][2120/7045]	Time 0.167 (0.240)	Data 0.115 (0.176)	Loss 2.6083 (2.4998)	Prec@1 36.719 (39.109)	Prec@5 68.359 (69.049)
Epoch: [87][2130/7045]	Time 0.103 (0.240)	Data 0.001 (0.176)	Loss 2.3909 (2.4997)	Prec@1 40.234 (39.111)	Prec@5 74.219 (69.052)
Epoch: [87][2140/7045]	Time 0.212 (0.240)	Data 0.160 (0.176)	Loss 2.6170 (2.4995)	Prec@1 38.672 (39.110)	Prec@5 68.750 (69.055)
Epoch: [87][2150/7045]	Time 0.109 (0.240)	Data 0.057 (0.176)	Loss 2.4484 (2.4993)	Prec@1 39.062 (39.111)	Prec@5 69.922 (69.061)
Epoch: [87][2160/7045]	Time 0.218 (0.240)	Data 0.159 (0.176)	Loss 2.3606 (2.4993)	Prec@1 41.797 (39.110)	Prec@5 71.875 (69.061)
Epoch: [87][2170/7045]	Time 0.108 (0.240)	Data 0.054 (0.176)	Loss 2.3272 (2.4991)	Prec@1 39.844 (39.111)	Prec@5 73.047 (69.066)
Epoch: [87][2180/7045]	Time 0.173 (0.240)	Data 0.122 (0.176)	Loss 2.3408 (2.4992)	Prec@1 42.969 (39.105)	Prec@5 71.875 (69.066)
Epoch: [87][2190/7045]	Time 0.101 (0.240)	Data 0.001 (0.176)	Loss 2.5063 (2.4992)	Prec@1 41.016 (39.102)	Prec@5 65.625 (69.065)
Epoch: [87][2200/7045]	Time 0.167 (0.240)	Data 0.115 (0.176)	Loss 2.5152 (2.4994)	Prec@1 38.672 (39.099)	Prec@5 68.359 (69.063)
Epoch: [87][2210/7045]	Time 0.102 (0.240)	Data 0.002 (0.176)	Loss 2.4079 (2.4998)	Prec@1 42.578 (39.091)	Prec@5 73.438 (69.055)
Epoch: [87][2220/7045]	Time 0.175 (0.240)	Data 0.123 (0.176)	Loss 2.7384 (2.5000)	Prec@1 34.766 (39.092)	Prec@5 64.844 (69.056)
Epoch: [87][2230/7045]	Time 0.102 (0.240)	Data 0.004 (0.176)	Loss 2.2535 (2.5003)	Prec@1 41.797 (39.089)	Prec@5 71.875 (69.049)
Epoch: [87][2240/7045]	Time 0.145 (0.240)	Data 0.092 (0.176)	Loss 2.6833 (2.5004)	Prec@1 37.500 (39.092)	Prec@5 66.016 (69.048)
Epoch: [87][2250/7045]	Time 0.102 (0.240)	Data 0.004 (0.176)	Loss 2.6477 (2.5007)	Prec@1 39.062 (39.090)	Prec@5 66.797 (69.042)
Epoch: [87][2260/7045]	Time 0.161 (0.240)	Data 0.109 (0.176)	Loss 2.5487 (2.5004)	Prec@1 35.547 (39.097)	Prec@5 68.359 (69.048)
Epoch: [87][2270/7045]	Time 0.102 (0.240)	Data 0.004 (0.176)	Loss 2.5412 (2.5003)	Prec@1 37.891 (39.098)	Prec@5 69.531 (69.047)
Epoch: [87][2280/7045]	Time 0.106 (0.240)	Data 0.054 (0.176)	Loss 2.2817 (2.4999)	Prec@1 41.016 (39.101)	Prec@5 74.219 (69.056)
Epoch: [87][2290/7045]	Time 0.102 (0.240)	Data 0.003 (0.176)	Loss 2.5793 (2.4998)	Prec@1 40.625 (39.104)	Prec@5 67.578 (69.062)
Epoch: [87][2300/7045]	Time 0.108 (0.240)	Data 0.054 (0.176)	Loss 2.3979 (2.4999)	Prec@1 39.062 (39.101)	Prec@5 70.312 (69.055)
Epoch: [87][2310/7045]	Time 0.102 (0.240)	Data 0.001 (0.176)	Loss 2.6760 (2.5001)	Prec@1 38.672 (39.099)	Prec@5 64.844 (69.048)
Epoch: [87][2320/7045]	Time 0.102 (0.240)	Data 0.003 (0.176)	Loss 2.4721 (2.5002)	Prec@1 41.406 (39.096)	Prec@5 68.359 (69.042)
Epoch: [87][2330/7045]	Time 0.102 (0.240)	Data 0.005 (0.175)	Loss 2.4861 (2.5004)	Prec@1 38.672 (39.094)	Prec@5 69.141 (69.035)
Epoch: [87][2340/7045]	Time 0.102 (0.240)	Data 0.002 (0.175)	Loss 2.3589 (2.5000)	Prec@1 43.750 (39.096)	Prec@5 68.750 (69.040)
Epoch: [87][2350/7045]	Time 0.102 (0.240)	Data 0.005 (0.175)	Loss 2.5362 (2.5001)	Prec@1 37.109 (39.096)	Prec@5 68.750 (69.039)
Epoch: [87][2360/7045]	Time 0.102 (0.240)	Data 0.005 (0.175)	Loss 2.4817 (2.5002)	Prec@1 37.109 (39.096)	Prec@5 69.922 (69.037)
Epoch: [87][2370/7045]	Time 0.110 (0.240)	Data 0.056 (0.175)	Loss 2.6783 (2.5003)	Prec@1 36.719 (39.093)	Prec@5 67.188 (69.033)
Epoch: [87][2380/7045]	Time 0.102 (0.240)	Data 0.005 (0.175)	Loss 2.6143 (2.5005)	Prec@1 36.328 (39.089)	Prec@5 66.797 (69.027)
Epoch: [87][2390/7045]	Time 0.106 (0.240)	Data 0.052 (0.175)	Loss 2.6309 (2.5006)	Prec@1 33.594 (39.084)	Prec@5 70.312 (69.023)
Epoch: [87][2400/7045]	Time 0.102 (0.240)	Data 0.005 (0.175)	Loss 2.5796 (2.5005)	Prec@1 38.281 (39.092)	Prec@5 70.703 (69.025)
Epoch: [87][2410/7045]	Time 0.102 (0.240)	Data 0.005 (0.175)	Loss 2.5787 (2.5007)	Prec@1 34.766 (39.089)	Prec@5 64.453 (69.020)
Epoch: [87][2420/7045]	Time 0.105 (0.240)	Data 0.052 (0.175)	Loss 2.4614 (2.5005)	Prec@1 38.672 (39.093)	Prec@5 70.312 (69.026)
Epoch: [87][2430/7045]	Time 0.103 (0.240)	Data 0.004 (0.175)	Loss 2.5856 (2.5005)	Prec@1 38.281 (39.090)	Prec@5 70.312 (69.027)
Epoch: [87][2440/7045]	Time 0.103 (0.240)	Data 0.044 (0.175)	Loss 2.2668 (2.5002)	Prec@1 42.188 (39.095)	Prec@5 73.047 (69.031)
Epoch: [87][2450/7045]	Time 0.102 (0.240)	Data 0.002 (0.175)	Loss 2.2243 (2.5003)	Prec@1 42.188 (39.096)	Prec@5 76.562 (69.032)
Epoch: [87][2460/7045]	Time 0.119 (0.240)	Data 0.067 (0.175)	Loss 2.4894 (2.5003)	Prec@1 39.844 (39.093)	Prec@5 67.188 (69.029)
Epoch: [87][2470/7045]	Time 0.102 (0.240)	Data 0.006 (0.175)	Loss 2.6367 (2.5005)	Prec@1 39.062 (39.090)	Prec@5 66.797 (69.029)
Epoch: [87][2480/7045]	Time 0.119 (0.240)	Data 0.067 (0.175)	Loss 2.2500 (2.5004)	Prec@1 42.188 (39.090)	Prec@5 71.094 (69.035)
Epoch: [87][2490/7045]	Time 0.108 (0.240)	Data 0.055 (0.175)	Loss 2.5588 (2.5003)	Prec@1 37.891 (39.090)	Prec@5 69.531 (69.037)
Epoch: [87][2500/7045]	Time 0.166 (0.239)	Data 0.114 (0.175)	Loss 2.6367 (2.5003)	Prec@1 37.500 (39.088)	Prec@5 66.406 (69.037)
Epoch: [87][2510/7045]	Time 0.102 (0.240)	Data 0.003 (0.175)	Loss 2.6031 (2.5003)	Prec@1 37.891 (39.095)	Prec@5 67.578 (69.036)
Epoch: [87][2520/7045]	Time 0.155 (0.239)	Data 0.104 (0.175)	Loss 2.5965 (2.5003)	Prec@1 40.625 (39.093)	Prec@5 65.234 (69.038)
Epoch: [87][2530/7045]	Time 0.101 (0.239)	Data 0.001 (0.175)	Loss 2.4152 (2.5001)	Prec@1 36.719 (39.095)	Prec@5 66.797 (69.040)
Epoch: [87][2540/7045]	Time 0.181 (0.239)	Data 0.129 (0.175)	Loss 2.3839 (2.5000)	Prec@1 42.969 (39.101)	Prec@5 70.703 (69.043)
Epoch: [87][2550/7045]	Time 0.103 (0.239)	Data 0.005 (0.175)	Loss 2.3115 (2.4998)	Prec@1 39.844 (39.104)	Prec@5 73.828 (69.047)
Epoch: [87][2560/7045]	Time 0.102 (0.239)	Data 0.001 (0.175)	Loss 2.7247 (2.5000)	Prec@1 33.594 (39.101)	Prec@5 65.625 (69.043)
Epoch: [87][2570/7045]	Time 0.102 (0.239)	Data 0.003 (0.175)	Loss 2.4587 (2.5005)	Prec@1 38.672 (39.096)	Prec@5 67.578 (69.029)
Epoch: [87][2580/7045]	Time 0.119 (0.239)	Data 0.068 (0.175)	Loss 2.3639 (2.5008)	Prec@1 42.188 (39.091)	Prec@5 68.359 (69.025)
Epoch: [87][2590/7045]	Time 0.102 (0.239)	Data 0.001 (0.175)	Loss 2.2723 (2.5007)	Prec@1 44.141 (39.093)	Prec@5 75.781 (69.030)
Epoch: [87][2600/7045]	Time 0.133 (0.239)	Data 0.081 (0.175)	Loss 2.8280 (2.5007)	Prec@1 32.031 (39.095)	Prec@5 63.672 (69.032)
Epoch: [87][2610/7045]	Time 0.103 (0.239)	Data 0.001 (0.175)	Loss 2.3073 (2.5004)	Prec@1 43.359 (39.100)	Prec@5 71.484 (69.037)
Epoch: [87][2620/7045]	Time 0.102 (0.239)	Data 0.003 (0.175)	Loss 2.6343 (2.5006)	Prec@1 33.594 (39.097)	Prec@5 65.625 (69.030)
Epoch: [87][2630/7045]	Time 0.103 (0.239)	Data 0.001 (0.175)	Loss 2.4303 (2.5005)	Prec@1 42.578 (39.099)	Prec@5 69.141 (69.034)
Epoch: [87][2640/7045]	Time 0.111 (0.239)	Data 0.059 (0.175)	Loss 2.4407 (2.5004)	Prec@1 44.141 (39.099)	Prec@5 67.969 (69.029)
Epoch: [87][2650/7045]	Time 0.102 (0.239)	Data 0.002 (0.175)	Loss 2.8263 (2.5006)	Prec@1 35.938 (39.100)	Prec@5 62.891 (69.024)
Epoch: [87][2660/7045]	Time 0.101 (0.239)	Data 0.006 (0.175)	Loss 2.4379 (2.5006)	Prec@1 42.188 (39.102)	Prec@5 69.922 (69.025)
Epoch: [87][2670/7045]	Time 0.103 (0.239)	Data 0.001 (0.175)	Loss 2.7010 (2.5008)	Prec@1 34.375 (39.097)	Prec@5 64.453 (69.020)
Epoch: [87][2680/7045]	Time 0.102 (0.239)	Data 0.004 (0.175)	Loss 2.5786 (2.5009)	Prec@1 41.406 (39.097)	Prec@5 69.141 (69.019)
Epoch: [87][2690/7045]	Time 0.102 (0.239)	Data 0.001 (0.175)	Loss 2.6431 (2.5009)	Prec@1 33.594 (39.092)	Prec@5 66.016 (69.021)
Epoch: [87][2700/7045]	Time 0.102 (0.239)	Data 0.003 (0.175)	Loss 2.4432 (2.5012)	Prec@1 42.969 (39.091)	Prec@5 70.312 (69.018)
Epoch: [87][2710/7045]	Time 0.102 (0.239)	Data 0.005 (0.175)	Loss 2.2495 (2.5010)	Prec@1 40.625 (39.097)	Prec@5 75.391 (69.025)
Epoch: [87][2720/7045]	Time 0.102 (0.239)	Data 0.002 (0.174)	Loss 2.4651 (2.5007)	Prec@1 37.891 (39.099)	Prec@5 68.359 (69.031)
Epoch: [87][2730/7045]	Time 0.102 (0.239)	Data 0.002 (0.174)	Loss 2.6430 (2.5007)	Prec@1 39.453 (39.103)	Prec@5 66.016 (69.029)
Epoch: [87][2740/7045]	Time 0.110 (0.239)	Data 0.058 (0.174)	Loss 2.3967 (2.5007)	Prec@1 40.234 (39.106)	Prec@5 71.484 (69.032)
Epoch: [87][2750/7045]	Time 0.106 (0.239)	Data 0.052 (0.174)	Loss 2.5717 (2.5007)	Prec@1 39.062 (39.106)	Prec@5 67.578 (69.030)
Epoch: [87][2760/7045]	Time 0.102 (0.239)	Data 0.003 (0.174)	Loss 2.6770 (2.5006)	Prec@1 32.812 (39.107)	Prec@5 64.062 (69.032)
Epoch: [87][2770/7045]	Time 0.102 (0.239)	Data 0.002 (0.174)	Loss 2.4406 (2.5006)	Prec@1 41.797 (39.106)	Prec@5 73.438 (69.037)
Epoch: [87][2780/7045]	Time 0.102 (0.239)	Data 0.001 (0.174)	Loss 2.6094 (2.5008)	Prec@1 36.719 (39.107)	Prec@5 69.531 (69.033)
Epoch: [87][2790/7045]	Time 0.101 (0.239)	Data 0.004 (0.174)	Loss 2.5218 (2.5007)	Prec@1 36.328 (39.103)	Prec@5 69.141 (69.032)
Epoch: [87][2800/7045]	Time 0.103 (0.239)	Data 0.003 (0.174)	Loss 2.5175 (2.5006)	Prec@1 41.016 (39.103)	Prec@5 68.359 (69.035)
Epoch: [87][2810/7045]	Time 0.102 (0.239)	Data 0.012 (0.174)	Loss 2.7158 (2.5006)	Prec@1 37.109 (39.105)	Prec@5 64.062 (69.035)
Epoch: [87][2820/7045]	Time 0.108 (0.239)	Data 0.055 (0.174)	Loss 2.6464 (2.5005)	Prec@1 37.500 (39.102)	Prec@5 67.188 (69.035)
Epoch: [87][2830/7045]	Time 0.101 (0.239)	Data 0.001 (0.174)	Loss 2.3647 (2.5005)	Prec@1 41.797 (39.101)	Prec@5 71.875 (69.038)
Epoch: [87][2840/7045]	Time 0.107 (0.239)	Data 0.053 (0.174)	Loss 2.8178 (2.5005)	Prec@1 32.812 (39.103)	Prec@5 61.328 (69.038)
Epoch: [87][2850/7045]	Time 0.102 (0.239)	Data 0.048 (0.174)	Loss 2.4896 (2.5004)	Prec@1 40.625 (39.108)	Prec@5 70.703 (69.041)
Epoch: [87][2860/7045]	Time 0.107 (0.239)	Data 0.054 (0.174)	Loss 2.4671 (2.5004)	Prec@1 41.406 (39.111)	Prec@5 71.094 (69.039)
Epoch: [87][2870/7045]	Time 0.130 (0.239)	Data 0.079 (0.174)	Loss 2.4121 (2.5001)	Prec@1 40.234 (39.112)	Prec@5 72.656 (69.042)
Epoch: [87][2880/7045]	Time 0.107 (0.239)	Data 0.055 (0.174)	Loss 2.4421 (2.5000)	Prec@1 40.234 (39.116)	Prec@5 71.875 (69.043)
Epoch: [87][2890/7045]	Time 0.113 (0.239)	Data 0.060 (0.174)	Loss 2.7577 (2.5000)	Prec@1 34.375 (39.119)	Prec@5 62.891 (69.042)
Epoch: [87][2900/7045]	Time 0.102 (0.239)	Data 0.005 (0.174)	Loss 2.4661 (2.4998)	Prec@1 38.672 (39.124)	Prec@5 71.094 (69.050)
Epoch: [87][2910/7045]	Time 0.109 (0.239)	Data 0.055 (0.174)	Loss 2.2938 (2.4998)	Prec@1 44.922 (39.123)	Prec@5 71.484 (69.052)
Epoch: [87][2920/7045]	Time 0.102 (0.239)	Data 0.004 (0.174)	Loss 2.3227 (2.4996)	Prec@1 43.750 (39.125)	Prec@5 72.656 (69.055)
Epoch: [87][2930/7045]	Time 0.102 (0.239)	Data 0.005 (0.174)	Loss 2.2808 (2.4994)	Prec@1 39.844 (39.125)	Prec@5 75.000 (69.061)
Epoch: [87][2940/7045]	Time 0.102 (0.239)	Data 0.001 (0.174)	Loss 2.6977 (2.4997)	Prec@1 31.641 (39.122)	Prec@5 65.625 (69.053)
Epoch: [87][2950/7045]	Time 0.101 (0.239)	Data 0.004 (0.174)	Loss 2.5069 (2.4997)	Prec@1 36.719 (39.121)	Prec@5 68.359 (69.054)
Epoch: [87][2960/7045]	Time 0.102 (0.239)	Data 0.005 (0.174)	Loss 2.4973 (2.4997)	Prec@1 39.844 (39.125)	Prec@5 64.844 (69.052)
Epoch: [87][2970/7045]	Time 0.102 (0.239)	Data 0.003 (0.174)	Loss 2.1661 (2.4994)	Prec@1 45.703 (39.129)	Prec@5 76.953 (69.058)
Epoch: [87][2980/7045]	Time 0.102 (0.239)	Data 0.003 (0.174)	Loss 2.3724 (2.4993)	Prec@1 40.234 (39.131)	Prec@5 70.703 (69.064)
Epoch: [87][2990/7045]	Time 0.102 (0.239)	Data 0.003 (0.174)	Loss 2.3057 (2.4994)	Prec@1 43.359 (39.130)	Prec@5 70.703 (69.063)
Epoch: [87][3000/7045]	Time 0.104 (0.239)	Data 0.002 (0.174)	Loss 2.5765 (2.4994)	Prec@1 41.406 (39.133)	Prec@5 66.406 (69.064)
Epoch: [87][3010/7045]	Time 0.109 (0.239)	Data 0.006 (0.174)	Loss 2.3828 (2.4990)	Prec@1 38.281 (39.135)	Prec@5 72.266 (69.070)
Epoch: [87][3020/7045]	Time 0.103 (0.239)	Data 0.004 (0.174)	Loss 2.4102 (2.4992)	Prec@1 42.578 (39.135)	Prec@5 72.656 (69.070)
Epoch: [87][3030/7045]	Time 0.102 (0.239)	Data 0.001 (0.174)	Loss 2.3336 (2.4993)	Prec@1 43.750 (39.133)	Prec@5 73.828 (69.070)
Epoch: [87][3040/7045]	Time 0.102 (0.239)	Data 0.001 (0.174)	Loss 2.6444 (2.4994)	Prec@1 37.891 (39.133)	Prec@5 64.844 (69.067)
Epoch: [87][3050/7045]	Time 0.108 (0.239)	Data 0.005 (0.174)	Loss 2.5105 (2.4997)	Prec@1 41.406 (39.125)	Prec@5 69.531 (69.063)
Epoch: [87][3060/7045]	Time 0.104 (0.239)	Data 0.001 (0.173)	Loss 2.6791 (2.4999)	Prec@1 38.672 (39.126)	Prec@5 64.062 (69.057)
Epoch: [87][3070/7045]	Time 0.097 (0.239)	Data 0.001 (0.173)	Loss 2.4415 (2.4998)	Prec@1 41.406 (39.127)	Prec@5 69.531 (69.062)
Epoch: [87][3080/7045]	Time 0.102 (0.239)	Data 0.001 (0.173)	Loss 2.5500 (2.4995)	Prec@1 37.891 (39.133)	Prec@5 67.969 (69.066)
Epoch: [87][3090/7045]	Time 0.108 (0.239)	Data 0.004 (0.173)	Loss 2.4983 (2.4995)	Prec@1 44.141 (39.133)	Prec@5 69.922 (69.066)
Epoch: [87][3100/7045]	Time 0.103 (0.239)	Data 0.001 (0.173)	Loss 2.4972 (2.4997)	Prec@1 39.062 (39.134)	Prec@5 67.969 (69.062)
Epoch: [87][3110/7045]	Time 0.109 (0.239)	Data 0.006 (0.173)	Loss 2.7229 (2.4997)	Prec@1 35.156 (39.132)	Prec@5 62.891 (69.061)
Epoch: [87][3120/7045]	Time 0.102 (0.239)	Data 0.001 (0.173)	Loss 2.4926 (2.4997)	Prec@1 41.797 (39.138)	Prec@5 67.188 (69.060)
Epoch: [87][3130/7045]	Time 0.109 (0.239)	Data 0.004 (0.173)	Loss 2.5154 (2.4997)	Prec@1 39.062 (39.137)	Prec@5 71.094 (69.065)
Epoch: [87][3140/7045]	Time 0.102 (0.239)	Data 0.001 (0.173)	Loss 2.5199 (2.4997)	Prec@1 42.969 (39.139)	Prec@5 68.359 (69.063)
Epoch: [87][3150/7045]	Time 0.107 (0.239)	Data 0.007 (0.173)	Loss 2.5121 (2.4998)	Prec@1 38.281 (39.135)	Prec@5 67.188 (69.060)
Epoch: [87][3160/7045]	Time 0.107 (0.239)	Data 0.055 (0.173)	Loss 2.5156 (2.4997)	Prec@1 42.188 (39.133)	Prec@5 67.578 (69.061)
Epoch: [87][3170/7045]	Time 0.102 (0.239)	Data 0.006 (0.173)	Loss 2.5659 (2.4998)	Prec@1 37.109 (39.131)	Prec@5 69.141 (69.061)
Epoch: [87][3180/7045]	Time 0.113 (0.239)	Data 0.061 (0.173)	Loss 2.5251 (2.5000)	Prec@1 40.625 (39.128)	Prec@5 65.234 (69.055)
Epoch: [87][3190/7045]	Time 0.102 (0.239)	Data 0.003 (0.173)	Loss 2.4674 (2.5001)	Prec@1 40.234 (39.126)	Prec@5 68.750 (69.056)
Epoch: [87][3200/7045]	Time 0.129 (0.239)	Data 0.077 (0.172)	Loss 2.4402 (2.5001)	Prec@1 44.922 (39.128)	Prec@5 73.047 (69.059)
Epoch: [87][3210/7045]	Time 0.107 (0.239)	Data 0.003 (0.172)	Loss 2.3470 (2.5002)	Prec@1 41.797 (39.131)	Prec@5 71.875 (69.058)
Epoch: [87][3220/7045]	Time 0.140 (0.239)	Data 0.087 (0.172)	Loss 2.3193 (2.5001)	Prec@1 44.531 (39.133)	Prec@5 71.484 (69.058)
Epoch: [87][3230/7045]	Time 0.108 (0.239)	Data 0.054 (0.172)	Loss 2.4948 (2.5004)	Prec@1 38.672 (39.128)	Prec@5 71.094 (69.051)
Epoch: [87][3240/7045]	Time 0.128 (0.239)	Data 0.075 (0.172)	Loss 2.2776 (2.5004)	Prec@1 44.922 (39.128)	Prec@5 72.266 (69.051)
Epoch: [87][3250/7045]	Time 0.191 (0.239)	Data 0.139 (0.172)	Loss 2.5352 (2.5002)	Prec@1 39.453 (39.132)	Prec@5 66.406 (69.056)
Epoch: [87][3260/7045]	Time 0.205 (0.239)	Data 0.153 (0.172)	Loss 2.4644 (2.5002)	Prec@1 38.672 (39.133)	Prec@5 73.828 (69.059)
Epoch: [87][3270/7045]	Time 0.187 (0.239)	Data 0.135 (0.172)	Loss 2.6264 (2.5002)	Prec@1 39.453 (39.134)	Prec@5 66.016 (69.055)
Epoch: [87][3280/7045]	Time 0.242 (0.239)	Data 0.191 (0.172)	Loss 2.3092 (2.5000)	Prec@1 42.188 (39.139)	Prec@5 76.172 (69.058)
Epoch: [87][3290/7045]	Time 0.229 (0.239)	Data 0.178 (0.172)	Loss 2.4941 (2.5000)	Prec@1 38.281 (39.138)	Prec@5 66.797 (69.060)
Epoch: [87][3300/7045]	Time 0.267 (0.239)	Data 0.215 (0.172)	Loss 2.3448 (2.4998)	Prec@1 43.750 (39.143)	Prec@5 76.562 (69.064)
Epoch: [87][3310/7045]	Time 0.241 (0.239)	Data 0.191 (0.172)	Loss 2.2706 (2.4997)	Prec@1 43.750 (39.144)	Prec@5 71.484 (69.066)
Epoch: [87][3320/7045]	Time 0.242 (0.239)	Data 0.190 (0.172)	Loss 2.2660 (2.4997)	Prec@1 41.797 (39.144)	Prec@5 73.828 (69.067)
Epoch: [87][3330/7045]	Time 0.252 (0.239)	Data 0.201 (0.172)	Loss 2.6225 (2.4996)	Prec@1 36.719 (39.150)	Prec@5 65.234 (69.067)
Epoch: [87][3340/7045]	Time 0.270 (0.239)	Data 0.218 (0.172)	Loss 2.4922 (2.4995)	Prec@1 41.406 (39.151)	Prec@5 64.844 (69.068)
Epoch: [87][3350/7045]	Time 0.267 (0.239)	Data 0.215 (0.172)	Loss 2.5947 (2.4996)	Prec@1 34.766 (39.149)	Prec@5 65.234 (69.066)
Epoch: [87][3360/7045]	Time 0.322 (0.239)	Data 0.270 (0.172)	Loss 2.4477 (2.4995)	Prec@1 36.719 (39.150)	Prec@5 70.703 (69.067)
Epoch: [87][3370/7045]	Time 0.330 (0.239)	Data 0.277 (0.173)	Loss 2.4081 (2.4997)	Prec@1 43.359 (39.146)	Prec@5 67.578 (69.064)
Epoch: [87][3380/7045]	Time 0.245 (0.239)	Data 0.192 (0.172)	Loss 2.5161 (2.4995)	Prec@1 37.500 (39.146)	Prec@5 71.484 (69.070)
Epoch: [87][3390/7045]	Time 0.275 (0.239)	Data 0.223 (0.173)	Loss 2.5071 (2.4994)	Prec@1 37.891 (39.150)	Prec@5 69.141 (69.074)
Epoch: [87][3400/7045]	Time 0.307 (0.239)	Data 0.254 (0.172)	Loss 2.4505 (2.4994)	Prec@1 39.453 (39.149)	Prec@5 71.484 (69.075)
Epoch: [87][3410/7045]	Time 0.289 (0.239)	Data 0.237 (0.173)	Loss 2.4245 (2.4993)	Prec@1 38.672 (39.148)	Prec@5 72.266 (69.076)
Epoch: [87][3420/7045]	Time 0.353 (0.239)	Data 0.301 (0.172)	Loss 2.5327 (2.4992)	Prec@1 38.281 (39.151)	Prec@5 69.141 (69.078)
Epoch: [87][3430/7045]	Time 0.281 (0.239)	Data 0.230 (0.172)	Loss 2.4164 (2.4992)	Prec@1 40.625 (39.155)	Prec@5 70.703 (69.081)
Epoch: [87][3440/7045]	Time 0.344 (0.239)	Data 0.293 (0.172)	Loss 2.6879 (2.4991)	Prec@1 33.984 (39.158)	Prec@5 66.016 (69.083)
Epoch: [87][3450/7045]	Time 0.319 (0.239)	Data 0.267 (0.172)	Loss 2.5406 (2.4990)	Prec@1 38.281 (39.160)	Prec@5 71.094 (69.088)
Epoch: [87][3460/7045]	Time 0.350 (0.239)	Data 0.299 (0.172)	Loss 2.4044 (2.4991)	Prec@1 37.109 (39.157)	Prec@5 71.094 (69.088)
Epoch: [87][3470/7045]	Time 0.280 (0.239)	Data 0.228 (0.172)	Loss 2.4557 (2.4992)	Prec@1 44.531 (39.154)	Prec@5 70.703 (69.088)
Epoch: [87][3480/7045]	Time 0.434 (0.239)	Data 0.375 (0.173)	Loss 2.3708 (2.4990)	Prec@1 39.062 (39.158)	Prec@5 67.188 (69.090)
Epoch: [87][3490/7045]	Time 0.352 (0.239)	Data 0.299 (0.173)	Loss 2.4626 (2.4990)	Prec@1 41.016 (39.160)	Prec@5 69.531 (69.089)
Epoch: [87][3500/7045]	Time 0.464 (0.239)	Data 0.412 (0.172)	Loss 2.5784 (2.4989)	Prec@1 38.281 (39.162)	Prec@5 68.359 (69.092)
Epoch: [87][3510/7045]	Time 0.274 (0.239)	Data 0.222 (0.172)	Loss 2.2631 (2.4989)	Prec@1 42.578 (39.165)	Prec@5 73.438 (69.092)
Epoch: [87][3520/7045]	Time 0.429 (0.239)	Data 0.376 (0.172)	Loss 2.3739 (2.4988)	Prec@1 40.234 (39.166)	Prec@5 73.828 (69.095)
Epoch: [87][3530/7045]	Time 0.309 (0.239)	Data 0.257 (0.172)	Loss 2.3886 (2.4987)	Prec@1 39.062 (39.165)	Prec@5 70.312 (69.099)
Epoch: [87][3540/7045]	Time 0.392 (0.239)	Data 0.339 (0.172)	Loss 2.4635 (2.4986)	Prec@1 39.062 (39.171)	Prec@5 69.141 (69.101)
Epoch: [87][3550/7045]	Time 0.313 (0.239)	Data 0.261 (0.172)	Loss 2.5603 (2.4985)	Prec@1 39.844 (39.173)	Prec@5 66.406 (69.104)
Epoch: [87][3560/7045]	Time 0.423 (0.239)	Data 0.364 (0.172)	Loss 2.5308 (2.4987)	Prec@1 34.375 (39.171)	Prec@5 68.750 (69.100)
Epoch: [87][3570/7045]	Time 0.321 (0.239)	Data 0.270 (0.172)	Loss 2.4915 (2.4988)	Prec@1 41.016 (39.170)	Prec@5 70.312 (69.100)
Epoch: [87][3580/7045]	Time 0.395 (0.239)	Data 0.343 (0.172)	Loss 2.5154 (2.4990)	Prec@1 37.109 (39.167)	Prec@5 67.969 (69.095)
Epoch: [87][3590/7045]	Time 0.337 (0.239)	Data 0.285 (0.172)	Loss 2.6617 (2.4990)	Prec@1 34.375 (39.165)	Prec@5 66.016 (69.093)
Epoch: [87][3600/7045]	Time 0.391 (0.239)	Data 0.333 (0.172)	Loss 2.6616 (2.4990)	Prec@1 36.719 (39.164)	Prec@5 67.188 (69.095)
Epoch: [87][3610/7045]	Time 0.356 (0.239)	Data 0.304 (0.172)	Loss 2.4802 (2.4991)	Prec@1 36.719 (39.163)	Prec@5 69.531 (69.094)
Epoch: [87][3620/7045]	Time 0.354 (0.239)	Data 0.301 (0.172)	Loss 2.4314 (2.4991)	Prec@1 36.328 (39.163)	Prec@5 72.266 (69.094)
Epoch: [87][3630/7045]	Time 0.340 (0.239)	Data 0.288 (0.172)	Loss 2.5546 (2.4990)	Prec@1 39.453 (39.164)	Prec@5 65.625 (69.098)
Epoch: [87][3640/7045]	Time 0.339 (0.239)	Data 0.288 (0.172)	Loss 2.5519 (2.4990)	Prec@1 41.797 (39.166)	Prec@5 67.188 (69.096)
Epoch: [87][3650/7045]	Time 0.353 (0.239)	Data 0.302 (0.172)	Loss 2.3866 (2.4990)	Prec@1 41.016 (39.168)	Prec@5 71.484 (69.094)
Epoch: [87][3660/7045]	Time 0.289 (0.239)	Data 0.238 (0.172)	Loss 2.6722 (2.4989)	Prec@1 37.891 (39.170)	Prec@5 65.625 (69.095)
Epoch: [87][3670/7045]	Time 0.350 (0.239)	Data 0.298 (0.172)	Loss 2.6374 (2.4990)	Prec@1 36.719 (39.168)	Prec@5 66.406 (69.091)
Epoch: [87][3680/7045]	Time 0.286 (0.239)	Data 0.234 (0.172)	Loss 2.4915 (2.4989)	Prec@1 37.109 (39.170)	Prec@5 67.578 (69.092)
Epoch: [87][3690/7045]	Time 0.322 (0.239)	Data 0.271 (0.172)	Loss 2.4036 (2.4989)	Prec@1 39.062 (39.169)	Prec@5 71.484 (69.091)
Epoch: [87][3700/7045]	Time 0.258 (0.239)	Data 0.205 (0.172)	Loss 2.4412 (2.4989)	Prec@1 42.969 (39.171)	Prec@5 71.484 (69.089)
Epoch: [87][3710/7045]	Time 0.310 (0.239)	Data 0.258 (0.172)	Loss 2.4234 (2.4989)	Prec@1 39.453 (39.174)	Prec@5 68.359 (69.089)
Epoch: [87][3720/7045]	Time 0.239 (0.239)	Data 0.188 (0.172)	Loss 2.3973 (2.4988)	Prec@1 39.062 (39.175)	Prec@5 68.750 (69.088)
Epoch: [87][3730/7045]	Time 0.296 (0.239)	Data 0.244 (0.172)	Loss 2.3393 (2.4986)	Prec@1 39.453 (39.178)	Prec@5 73.438 (69.090)
Epoch: [87][3740/7045]	Time 0.184 (0.238)	Data 0.131 (0.172)	Loss 2.9312 (2.4986)	Prec@1 33.984 (39.179)	Prec@5 60.547 (69.091)
Epoch: [87][3750/7045]	Time 0.288 (0.239)	Data 0.230 (0.172)	Loss 2.8548 (2.4987)	Prec@1 37.500 (39.179)	Prec@5 62.500 (69.088)
Epoch: [87][3760/7045]	Time 0.187 (0.238)	Data 0.135 (0.172)	Loss 2.5516 (2.4989)	Prec@1 42.188 (39.182)	Prec@5 66.797 (69.086)
Epoch: [87][3770/7045]	Time 0.327 (0.239)	Data 0.274 (0.173)	Loss 2.4915 (2.4989)	Prec@1 34.766 (39.179)	Prec@5 69.531 (69.085)
Epoch: [87][3780/7045]	Time 0.111 (0.238)	Data 0.058 (0.172)	Loss 2.4114 (2.4989)	Prec@1 38.672 (39.178)	Prec@5 69.922 (69.085)
Epoch: [87][3790/7045]	Time 0.210 (0.239)	Data 0.158 (0.173)	Loss 2.4397 (2.4989)	Prec@1 42.188 (39.177)	Prec@5 67.188 (69.085)
Epoch: [87][3800/7045]	Time 0.202 (0.238)	Data 0.151 (0.173)	Loss 2.5138 (2.4987)	Prec@1 41.016 (39.182)	Prec@5 68.359 (69.088)
Epoch: [87][3810/7045]	Time 0.164 (0.239)	Data 0.112 (0.173)	Loss 2.4712 (2.4987)	Prec@1 44.922 (39.184)	Prec@5 71.484 (69.087)
Epoch: [87][3820/7045]	Time 0.445 (0.239)	Data 0.393 (0.173)	Loss 2.4269 (2.4987)	Prec@1 35.938 (39.183)	Prec@5 69.141 (69.089)
Epoch: [87][3830/7045]	Time 0.135 (0.239)	Data 0.078 (0.173)	Loss 2.6038 (2.4988)	Prec@1 36.328 (39.182)	Prec@5 68.359 (69.085)
Epoch: [87][3840/7045]	Time 0.629 (0.239)	Data 0.577 (0.173)	Loss 2.3613 (2.4989)	Prec@1 41.016 (39.180)	Prec@5 73.828 (69.085)
Epoch: [87][3850/7045]	Time 0.097 (0.239)	Data 0.001 (0.173)	Loss 2.7121 (2.4991)	Prec@1 35.547 (39.177)	Prec@5 64.453 (69.081)
Epoch: [87][3860/7045]	Time 0.656 (0.239)	Data 0.605 (0.173)	Loss 2.3848 (2.4990)	Prec@1 42.578 (39.181)	Prec@5 70.312 (69.084)
Epoch: [87][3870/7045]	Time 0.103 (0.239)	Data 0.001 (0.173)	Loss 2.4563 (2.4990)	Prec@1 35.938 (39.180)	Prec@5 70.703 (69.085)
Epoch: [87][3880/7045]	Time 0.619 (0.239)	Data 0.561 (0.173)	Loss 2.3502 (2.4990)	Prec@1 42.188 (39.178)	Prec@5 70.703 (69.084)
Epoch: [87][3890/7045]	Time 0.103 (0.239)	Data 0.051 (0.173)	Loss 2.5794 (2.4991)	Prec@1 39.453 (39.176)	Prec@5 66.797 (69.086)
Epoch: [87][3900/7045]	Time 0.573 (0.239)	Data 0.514 (0.173)	Loss 2.6309 (2.4990)	Prec@1 33.203 (39.175)	Prec@5 67.578 (69.086)
Epoch: [87][3910/7045]	Time 0.235 (0.239)	Data 0.179 (0.173)	Loss 2.7377 (2.4990)	Prec@1 35.156 (39.173)	Prec@5 61.328 (69.084)
Epoch: [87][3920/7045]	Time 0.385 (0.239)	Data 0.334 (0.173)	Loss 2.4591 (2.4991)	Prec@1 41.406 (39.170)	Prec@5 71.094 (69.081)
Epoch: [87][3930/7045]	Time 0.370 (0.239)	Data 0.319 (0.173)	Loss 2.6363 (2.4992)	Prec@1 36.328 (39.165)	Prec@5 66.016 (69.077)
Epoch: [87][3940/7045]	Time 0.141 (0.239)	Data 0.082 (0.173)	Loss 2.4196 (2.4994)	Prec@1 38.281 (39.160)	Prec@5 73.438 (69.075)
Epoch: [87][3950/7045]	Time 0.458 (0.239)	Data 0.405 (0.173)	Loss 2.4743 (2.4995)	Prec@1 41.016 (39.159)	Prec@5 72.656 (69.073)
Epoch: [87][3960/7045]	Time 0.102 (0.239)	Data 0.049 (0.173)	Loss 2.5431 (2.4996)	Prec@1 41.016 (39.157)	Prec@5 69.531 (69.074)
Epoch: [87][3970/7045]	Time 0.486 (0.239)	Data 0.433 (0.173)	Loss 2.2440 (2.4993)	Prec@1 43.359 (39.161)	Prec@5 73.828 (69.078)
Epoch: [87][3980/7045]	Time 0.148 (0.239)	Data 0.095 (0.173)	Loss 2.5603 (2.4994)	Prec@1 35.547 (39.160)	Prec@5 70.312 (69.080)
Epoch: [87][3990/7045]	Time 0.526 (0.239)	Data 0.468 (0.173)	Loss 2.3806 (2.4994)	Prec@1 43.359 (39.160)	Prec@5 67.188 (69.079)
Epoch: [87][4000/7045]	Time 0.111 (0.239)	Data 0.059 (0.173)	Loss 2.3665 (2.4994)	Prec@1 45.312 (39.161)	Prec@5 70.312 (69.081)
Epoch: [87][4010/7045]	Time 0.416 (0.239)	Data 0.365 (0.173)	Loss 2.4910 (2.4993)	Prec@1 37.891 (39.159)	Prec@5 67.578 (69.082)
Epoch: [87][4020/7045]	Time 0.102 (0.239)	Data 0.001 (0.173)	Loss 2.5221 (2.4994)	Prec@1 39.062 (39.158)	Prec@5 66.406 (69.081)
Epoch: [87][4030/7045]	Time 0.174 (0.239)	Data 0.122 (0.173)	Loss 2.5217 (2.4995)	Prec@1 39.844 (39.152)	Prec@5 71.484 (69.081)
Epoch: [87][4040/7045]	Time 0.105 (0.239)	Data 0.053 (0.173)	Loss 2.6851 (2.4995)	Prec@1 34.375 (39.154)	Prec@5 66.406 (69.082)
Epoch: [87][4050/7045]	Time 0.102 (0.239)	Data 0.001 (0.173)	Loss 2.4808 (2.4995)	Prec@1 39.844 (39.155)	Prec@5 69.531 (69.081)
Epoch: [87][4060/7045]	Time 0.135 (0.239)	Data 0.083 (0.173)	Loss 2.4422 (2.4993)	Prec@1 38.672 (39.158)	Prec@5 71.094 (69.084)
Epoch: [87][4070/7045]	Time 0.178 (0.239)	Data 0.119 (0.173)	Loss 2.4943 (2.4993)	Prec@1 41.016 (39.160)	Prec@5 68.359 (69.082)
Epoch: [87][4080/7045]	Time 0.106 (0.239)	Data 0.054 (0.173)	Loss 2.8019 (2.4994)	Prec@1 35.547 (39.160)	Prec@5 61.719 (69.082)
Epoch: [87][4090/7045]	Time 0.173 (0.239)	Data 0.121 (0.173)	Loss 2.4724 (2.4992)	Prec@1 38.281 (39.162)	Prec@5 68.359 (69.085)
Epoch: [87][4100/7045]	Time 0.102 (0.239)	Data 0.001 (0.173)	Loss 2.7250 (2.4992)	Prec@1 37.109 (39.163)	Prec@5 67.969 (69.087)
Epoch: [87][4110/7045]	Time 0.234 (0.239)	Data 0.182 (0.173)	Loss 2.5285 (2.4993)	Prec@1 38.672 (39.162)	Prec@5 68.359 (69.087)
Epoch: [87][4120/7045]	Time 0.115 (0.239)	Data 0.055 (0.173)	Loss 2.3846 (2.4992)	Prec@1 38.672 (39.165)	Prec@5 70.703 (69.088)
Epoch: [87][4130/7045]	Time 0.193 (0.239)	Data 0.141 (0.173)	Loss 2.6187 (2.4993)	Prec@1 35.547 (39.163)	Prec@5 68.750 (69.087)
Epoch: [87][4140/7045]	Time 0.137 (0.239)	Data 0.076 (0.173)	Loss 2.2570 (2.4992)	Prec@1 45.703 (39.160)	Prec@5 73.047 (69.087)
Epoch: [87][4150/7045]	Time 0.108 (0.239)	Data 0.055 (0.173)	Loss 2.5322 (2.4991)	Prec@1 39.062 (39.164)	Prec@5 66.406 (69.088)
Epoch: [87][4160/7045]	Time 0.102 (0.239)	Data 0.003 (0.173)	Loss 2.5971 (2.4991)	Prec@1 36.719 (39.163)	Prec@5 67.969 (69.089)
Epoch: [87][4170/7045]	Time 0.102 (0.239)	Data 0.005 (0.173)	Loss 2.3885 (2.4991)	Prec@1 43.750 (39.164)	Prec@5 69.531 (69.088)
Epoch: [87][4180/7045]	Time 0.102 (0.239)	Data 0.001 (0.173)	Loss 2.5618 (2.4991)	Prec@1 39.062 (39.166)	Prec@5 64.844 (69.087)
Epoch: [87][4190/7045]	Time 0.260 (0.239)	Data 0.209 (0.173)	Loss 2.4876 (2.4991)	Prec@1 39.453 (39.165)	Prec@5 73.438 (69.091)
Epoch: [87][4200/7045]	Time 0.204 (0.239)	Data 0.153 (0.173)	Loss 2.2886 (2.4991)	Prec@1 43.359 (39.163)	Prec@5 70.703 (69.093)
Epoch: [87][4210/7045]	Time 0.439 (0.239)	Data 0.387 (0.173)	Loss 2.5231 (2.4991)	Prec@1 37.109 (39.161)	Prec@5 68.359 (69.093)
Epoch: [87][4220/7045]	Time 0.293 (0.239)	Data 0.239 (0.173)	Loss 2.5452 (2.4992)	Prec@1 34.375 (39.163)	Prec@5 70.312 (69.093)
Epoch: [87][4230/7045]	Time 0.547 (0.239)	Data 0.495 (0.173)	Loss 2.4235 (2.4991)	Prec@1 39.062 (39.166)	Prec@5 71.484 (69.094)
Epoch: [87][4240/7045]	Time 0.208 (0.239)	Data 0.156 (0.173)	Loss 2.7205 (2.4992)	Prec@1 32.031 (39.163)	Prec@5 65.234 (69.093)
Epoch: [87][4250/7045]	Time 0.489 (0.239)	Data 0.436 (0.173)	Loss 2.6360 (2.4992)	Prec@1 34.766 (39.164)	Prec@5 67.969 (69.094)
Epoch: [87][4260/7045]	Time 0.102 (0.239)	Data 0.001 (0.173)	Loss 2.5170 (2.4992)	Prec@1 40.234 (39.161)	Prec@5 63.672 (69.091)
Epoch: [87][4270/7045]	Time 0.342 (0.239)	Data 0.290 (0.173)	Loss 2.4426 (2.4992)	Prec@1 37.891 (39.160)	Prec@5 71.484 (69.091)
Epoch: [87][4280/7045]	Time 0.237 (0.239)	Data 0.186 (0.173)	Loss 2.3766 (2.4992)	Prec@1 39.062 (39.157)	Prec@5 68.750 (69.090)
Epoch: [87][4290/7045]	Time 0.187 (0.239)	Data 0.135 (0.173)	Loss 2.4621 (2.4992)	Prec@1 42.578 (39.158)	Prec@5 66.016 (69.091)
Epoch: [87][4300/7045]	Time 0.310 (0.239)	Data 0.250 (0.173)	Loss 2.5149 (2.4993)	Prec@1 33.984 (39.157)	Prec@5 69.531 (69.093)
Epoch: [87][4310/7045]	Time 0.102 (0.239)	Data 0.004 (0.173)	Loss 2.4191 (2.4992)	Prec@1 46.094 (39.161)	Prec@5 68.750 (69.098)
Epoch: [87][4320/7045]	Time 0.393 (0.239)	Data 0.341 (0.173)	Loss 2.4595 (2.4992)	Prec@1 41.406 (39.164)	Prec@5 71.875 (69.098)
Epoch: [87][4330/7045]	Time 0.152 (0.239)	Data 0.101 (0.173)	Loss 2.6734 (2.4992)	Prec@1 33.203 (39.163)	Prec@5 65.234 (69.097)
Epoch: [87][4340/7045]	Time 0.566 (0.239)	Data 0.513 (0.173)	Loss 2.2862 (2.4993)	Prec@1 43.750 (39.160)	Prec@5 73.828 (69.097)
Epoch: [87][4350/7045]	Time 0.361 (0.239)	Data 0.310 (0.173)	Loss 2.4164 (2.4993)	Prec@1 42.188 (39.160)	Prec@5 73.047 (69.097)
Epoch: [87][4360/7045]	Time 0.391 (0.239)	Data 0.339 (0.173)	Loss 2.5873 (2.4994)	Prec@1 35.938 (39.160)	Prec@5 63.672 (69.094)
Epoch: [87][4370/7045]	Time 0.199 (0.239)	Data 0.147 (0.173)	Loss 2.8010 (2.4994)	Prec@1 32.031 (39.158)	Prec@5 64.453 (69.095)
Epoch: [87][4380/7045]	Time 0.276 (0.239)	Data 0.224 (0.173)	Loss 2.6455 (2.4995)	Prec@1 35.156 (39.156)	Prec@5 67.969 (69.093)
Epoch: [87][4390/7045]	Time 0.111 (0.239)	Data 0.058 (0.173)	Loss 2.2139 (2.4995)	Prec@1 44.922 (39.157)	Prec@5 74.219 (69.094)
Epoch: [87][4400/7045]	Time 0.102 (0.239)	Data 0.002 (0.173)	Loss 2.6394 (2.4996)	Prec@1 30.469 (39.153)	Prec@5 69.141 (69.092)
Epoch: [87][4410/7045]	Time 0.102 (0.239)	Data 0.004 (0.173)	Loss 2.4214 (2.4996)	Prec@1 40.234 (39.155)	Prec@5 71.484 (69.095)
Epoch: [87][4420/7045]	Time 0.196 (0.239)	Data 0.144 (0.173)	Loss 2.5657 (2.4995)	Prec@1 40.625 (39.155)	Prec@5 65.234 (69.098)
Epoch: [87][4430/7045]	Time 0.151 (0.239)	Data 0.098 (0.173)	Loss 2.4930 (2.4995)	Prec@1 38.281 (39.155)	Prec@5 70.703 (69.099)
Epoch: [87][4440/7045]	Time 0.540 (0.239)	Data 0.488 (0.173)	Loss 2.3583 (2.4994)	Prec@1 42.969 (39.156)	Prec@5 68.750 (69.101)
Epoch: [87][4450/7045]	Time 0.177 (0.239)	Data 0.125 (0.173)	Loss 2.4600 (2.4994)	Prec@1 41.406 (39.157)	Prec@5 67.969 (69.104)
Epoch: [87][4460/7045]	Time 0.518 (0.239)	Data 0.466 (0.173)	Loss 2.8898 (2.4995)	Prec@1 31.641 (39.154)	Prec@5 63.672 (69.101)
Epoch: [87][4470/7045]	Time 0.173 (0.239)	Data 0.121 (0.173)	Loss 2.4368 (2.4994)	Prec@1 43.359 (39.155)	Prec@5 69.141 (69.103)
Epoch: [87][4480/7045]	Time 0.397 (0.239)	Data 0.345 (0.173)	Loss 2.3191 (2.4994)	Prec@1 41.016 (39.156)	Prec@5 69.922 (69.103)
Epoch: [87][4490/7045]	Time 0.119 (0.239)	Data 0.067 (0.173)	Loss 2.6050 (2.4994)	Prec@1 36.719 (39.155)	Prec@5 66.406 (69.104)
Epoch: [87][4500/7045]	Time 0.322 (0.239)	Data 0.270 (0.173)	Loss 2.6754 (2.4995)	Prec@1 37.891 (39.151)	Prec@5 64.453 (69.100)
Epoch: [87][4510/7045]	Time 0.294 (0.239)	Data 0.242 (0.173)	Loss 2.4628 (2.4994)	Prec@1 39.453 (39.151)	Prec@5 71.094 (69.101)
Epoch: [87][4520/7045]	Time 0.214 (0.239)	Data 0.163 (0.173)	Loss 2.3344 (2.4996)	Prec@1 46.484 (39.152)	Prec@5 73.047 (69.098)
Epoch: [87][4530/7045]	Time 0.409 (0.239)	Data 0.359 (0.173)	Loss 2.5615 (2.4997)	Prec@1 36.719 (39.151)	Prec@5 67.969 (69.097)
Epoch: [87][4540/7045]	Time 0.111 (0.239)	Data 0.058 (0.173)	Loss 2.4822 (2.4996)	Prec@1 39.062 (39.152)	Prec@5 67.578 (69.096)
Epoch: [87][4550/7045]	Time 0.525 (0.239)	Data 0.474 (0.173)	Loss 2.3609 (2.4998)	Prec@1 40.625 (39.151)	Prec@5 72.656 (69.095)
Epoch: [87][4560/7045]	Time 0.190 (0.239)	Data 0.138 (0.173)	Loss 2.5888 (2.4997)	Prec@1 37.891 (39.152)	Prec@5 68.750 (69.097)
Epoch: [87][4570/7045]	Time 0.459 (0.239)	Data 0.406 (0.173)	Loss 2.2905 (2.4995)	Prec@1 42.578 (39.156)	Prec@5 71.094 (69.101)
Epoch: [87][4580/7045]	Time 0.166 (0.239)	Data 0.114 (0.173)	Loss 2.2234 (2.4995)	Prec@1 41.406 (39.155)	Prec@5 77.734 (69.103)
Epoch: [87][4590/7045]	Time 0.109 (0.239)	Data 0.001 (0.173)	Loss 2.5935 (2.4995)	Prec@1 36.719 (39.154)	Prec@5 67.969 (69.101)
Epoch: [87][4600/7045]	Time 0.102 (0.239)	Data 0.001 (0.173)	Loss 2.4753 (2.4996)	Prec@1 40.234 (39.150)	Prec@5 68.750 (69.099)
Epoch: [87][4610/7045]	Time 0.146 (0.239)	Data 0.094 (0.173)	Loss 2.4120 (2.4996)	Prec@1 39.453 (39.154)	Prec@5 70.703 (69.099)
Epoch: [87][4620/7045]	Time 0.109 (0.239)	Data 0.058 (0.173)	Loss 2.3076 (2.4996)	Prec@1 41.406 (39.154)	Prec@5 72.656 (69.101)
Epoch: [87][4630/7045]	Time 0.119 (0.239)	Data 0.059 (0.174)	Loss 2.5791 (2.4996)	Prec@1 37.500 (39.153)	Prec@5 64.062 (69.100)
Epoch: [87][4640/7045]	Time 0.106 (0.239)	Data 0.052 (0.173)	Loss 2.3574 (2.4997)	Prec@1 44.531 (39.155)	Prec@5 73.438 (69.099)
Epoch: [87][4650/7045]	Time 0.109 (0.239)	Data 0.003 (0.173)	Loss 2.5166 (2.4997)	Prec@1 42.188 (39.157)	Prec@5 70.703 (69.099)
Epoch: [87][4660/7045]	Time 0.102 (0.239)	Data 0.006 (0.173)	Loss 2.6294 (2.4998)	Prec@1 39.062 (39.155)	Prec@5 66.016 (69.098)
Epoch: [87][4670/7045]	Time 0.110 (0.239)	Data 0.012 (0.173)	Loss 2.4263 (2.4997)	Prec@1 39.453 (39.156)	Prec@5 68.750 (69.100)
Epoch: [87][4680/7045]	Time 0.102 (0.239)	Data 0.004 (0.173)	Loss 2.5561 (2.4997)	Prec@1 38.281 (39.156)	Prec@5 69.141 (69.101)
Epoch: [87][4690/7045]	Time 0.109 (0.239)	Data 0.007 (0.173)	Loss 2.4963 (2.4999)	Prec@1 39.453 (39.154)	Prec@5 66.016 (69.098)
Epoch: [87][4700/7045]	Time 0.102 (0.239)	Data 0.001 (0.173)	Loss 2.3415 (2.4999)	Prec@1 39.453 (39.152)	Prec@5 73.438 (69.098)
Epoch: [87][4710/7045]	Time 0.107 (0.239)	Data 0.055 (0.173)	Loss 2.3385 (2.4998)	Prec@1 44.531 (39.153)	Prec@5 73.828 (69.099)
Epoch: [87][4720/7045]	Time 0.102 (0.239)	Data 0.001 (0.173)	Loss 2.2235 (2.4995)	Prec@1 43.359 (39.155)	Prec@5 75.391 (69.104)
Epoch: [87][4730/7045]	Time 0.109 (0.239)	Data 0.007 (0.173)	Loss 2.3704 (2.4996)	Prec@1 42.188 (39.155)	Prec@5 71.094 (69.104)
Epoch: [87][4740/7045]	Time 0.102 (0.239)	Data 0.001 (0.173)	Loss 2.4248 (2.4996)	Prec@1 38.672 (39.154)	Prec@5 69.141 (69.102)
Epoch: [87][4750/7045]	Time 0.107 (0.239)	Data 0.003 (0.173)	Loss 2.5060 (2.4996)	Prec@1 41.797 (39.155)	Prec@5 70.703 (69.104)
Epoch: [87][4760/7045]	Time 0.110 (0.239)	Data 0.058 (0.173)	Loss 2.4822 (2.4995)	Prec@1 39.453 (39.157)	Prec@5 66.797 (69.104)
Epoch: [87][4770/7045]	Time 0.108 (0.239)	Data 0.001 (0.173)	Loss 2.3955 (2.4994)	Prec@1 41.016 (39.159)	Prec@5 71.094 (69.104)
Epoch: [87][4780/7045]	Time 0.112 (0.239)	Data 0.059 (0.173)	Loss 2.5322 (2.4995)	Prec@1 35.156 (39.158)	Prec@5 66.406 (69.102)
Epoch: [87][4790/7045]	Time 0.103 (0.239)	Data 0.006 (0.173)	Loss 2.5905 (2.4996)	Prec@1 37.109 (39.157)	Prec@5 62.891 (69.096)
Epoch: [87][4800/7045]	Time 0.107 (0.239)	Data 0.054 (0.173)	Loss 2.5499 (2.4997)	Prec@1 41.406 (39.157)	Prec@5 70.312 (69.095)
Epoch: [87][4810/7045]	Time 0.102 (0.239)	Data 0.004 (0.173)	Loss 2.5723 (2.4998)	Prec@1 38.281 (39.155)	Prec@5 69.141 (69.094)
Epoch: [87][4820/7045]	Time 0.102 (0.239)	Data 0.044 (0.173)	Loss 2.4630 (2.4997)	Prec@1 39.844 (39.158)	Prec@5 67.578 (69.094)
Epoch: [87][4830/7045]	Time 0.112 (0.239)	Data 0.059 (0.173)	Loss 2.5056 (2.4997)	Prec@1 37.891 (39.160)	Prec@5 69.141 (69.093)
Epoch: [87][4840/7045]	Time 0.108 (0.239)	Data 0.055 (0.173)	Loss 2.3923 (2.4995)	Prec@1 42.578 (39.162)	Prec@5 71.484 (69.098)
Epoch: [87][4850/7045]	Time 0.103 (0.239)	Data 0.051 (0.173)	Loss 2.6783 (2.4996)	Prec@1 35.156 (39.159)	Prec@5 66.797 (69.097)
Epoch: [87][4860/7045]	Time 0.297 (0.239)	Data 0.245 (0.173)	Loss 2.6735 (2.4998)	Prec@1 32.812 (39.155)	Prec@5 64.844 (69.093)
Epoch: [87][4870/7045]	Time 0.144 (0.239)	Data 0.093 (0.173)	Loss 2.6412 (2.4998)	Prec@1 33.984 (39.152)	Prec@5 64.453 (69.094)
Epoch: [87][4880/7045]	Time 0.523 (0.239)	Data 0.471 (0.173)	Loss 2.7168 (2.4997)	Prec@1 33.984 (39.155)	Prec@5 64.453 (69.095)
Epoch: [87][4890/7045]	Time 0.108 (0.239)	Data 0.056 (0.173)	Loss 2.4335 (2.4996)	Prec@1 39.453 (39.158)	Prec@5 71.875 (69.098)
Epoch: [87][4900/7045]	Time 0.532 (0.239)	Data 0.480 (0.173)	Loss 2.5616 (2.4996)	Prec@1 35.156 (39.156)	Prec@5 66.406 (69.096)
Epoch: [87][4910/7045]	Time 0.123 (0.239)	Data 0.071 (0.173)	Loss 2.1233 (2.4995)	Prec@1 43.750 (39.155)	Prec@5 73.047 (69.097)
Epoch: [87][4920/7045]	Time 0.463 (0.239)	Data 0.412 (0.173)	Loss 2.6184 (2.4996)	Prec@1 39.062 (39.153)	Prec@5 67.578 (69.095)
Epoch: [87][4930/7045]	Time 0.301 (0.239)	Data 0.248 (0.173)	Loss 2.5504 (2.4996)	Prec@1 38.281 (39.153)	Prec@5 71.875 (69.096)
Epoch: [87][4940/7045]	Time 0.355 (0.239)	Data 0.304 (0.173)	Loss 2.5644 (2.4994)	Prec@1 35.938 (39.154)	Prec@5 67.578 (69.100)
Epoch: [87][4950/7045]	Time 0.296 (0.239)	Data 0.243 (0.173)	Loss 2.5950 (2.4994)	Prec@1 33.984 (39.151)	Prec@5 64.844 (69.098)
Epoch: [87][4960/7045]	Time 0.177 (0.239)	Data 0.124 (0.173)	Loss 2.3826 (2.4994)	Prec@1 40.625 (39.151)	Prec@5 66.797 (69.096)
Epoch: [87][4970/7045]	Time 0.305 (0.239)	Data 0.253 (0.173)	Loss 2.6430 (2.4994)	Prec@1 33.203 (39.151)	Prec@5 64.062 (69.097)
Epoch: [87][4980/7045]	Time 0.155 (0.239)	Data 0.102 (0.173)	Loss 2.7183 (2.4994)	Prec@1 37.500 (39.153)	Prec@5 65.234 (69.095)
Epoch: [87][4990/7045]	Time 0.143 (0.239)	Data 0.091 (0.173)	Loss 2.4203 (2.4993)	Prec@1 45.703 (39.154)	Prec@5 73.438 (69.097)
Epoch: [87][5000/7045]	Time 0.170 (0.239)	Data 0.118 (0.173)	Loss 2.6153 (2.4995)	Prec@1 37.500 (39.153)	Prec@5 66.016 (69.094)
Epoch: [87][5010/7045]	Time 0.120 (0.239)	Data 0.060 (0.173)	Loss 2.7104 (2.4994)	Prec@1 34.766 (39.155)	Prec@5 65.234 (69.093)
Epoch: [87][5020/7045]	Time 0.136 (0.239)	Data 0.084 (0.173)	Loss 2.5119 (2.4994)	Prec@1 38.672 (39.153)	Prec@5 68.750 (69.095)
Epoch: [87][5030/7045]	Time 0.174 (0.239)	Data 0.122 (0.173)	Loss 2.5028 (2.4995)	Prec@1 35.938 (39.150)	Prec@5 70.312 (69.094)
Epoch: [87][5040/7045]	Time 0.102 (0.239)	Data 0.003 (0.173)	Loss 2.3257 (2.4995)	Prec@1 43.750 (39.152)	Prec@5 71.094 (69.093)
Epoch: [87][5050/7045]	Time 0.134 (0.239)	Data 0.082 (0.173)	Loss 2.2380 (2.4995)	Prec@1 48.828 (39.153)	Prec@5 76.562 (69.093)
Epoch: [87][5060/7045]	Time 0.269 (0.239)	Data 0.218 (0.173)	Loss 2.4385 (2.4996)	Prec@1 37.891 (39.152)	Prec@5 72.656 (69.093)
Epoch: [87][5070/7045]	Time 0.111 (0.239)	Data 0.057 (0.173)	Loss 2.5390 (2.4996)	Prec@1 41.016 (39.154)	Prec@5 67.969 (69.090)
Epoch: [87][5080/7045]	Time 0.539 (0.239)	Data 0.480 (0.173)	Loss 2.6370 (2.4997)	Prec@1 35.156 (39.152)	Prec@5 64.844 (69.088)
Epoch: [87][5090/7045]	Time 0.121 (0.239)	Data 0.061 (0.173)	Loss 2.7029 (2.4997)	Prec@1 36.328 (39.151)	Prec@5 64.844 (69.087)
Epoch: [87][5100/7045]	Time 0.613 (0.239)	Data 0.554 (0.173)	Loss 2.4840 (2.4997)	Prec@1 35.938 (39.150)	Prec@5 66.797 (69.087)
Epoch: [87][5110/7045]	Time 0.109 (0.239)	Data 0.056 (0.173)	Loss 2.6585 (2.4997)	Prec@1 35.156 (39.148)	Prec@5 68.359 (69.087)
Epoch: [87][5120/7045]	Time 0.523 (0.239)	Data 0.471 (0.173)	Loss 2.6109 (2.4998)	Prec@1 32.422 (39.144)	Prec@5 67.578 (69.087)
Epoch: [87][5130/7045]	Time 0.154 (0.239)	Data 0.102 (0.173)	Loss 2.5899 (2.4997)	Prec@1 39.062 (39.144)	Prec@5 66.797 (69.088)
Epoch: [87][5140/7045]	Time 0.385 (0.239)	Data 0.333 (0.173)	Loss 2.6006 (2.4997)	Prec@1 39.062 (39.144)	Prec@5 66.406 (69.089)
Epoch: [87][5150/7045]	Time 0.103 (0.239)	Data 0.050 (0.173)	Loss 2.5518 (2.4998)	Prec@1 38.281 (39.142)	Prec@5 68.359 (69.089)
Epoch: [87][5160/7045]	Time 0.112 (0.239)	Data 0.060 (0.173)	Loss 2.4232 (2.4998)	Prec@1 39.844 (39.141)	Prec@5 71.484 (69.087)
Epoch: [87][5170/7045]	Time 0.102 (0.239)	Data 0.001 (0.173)	Loss 2.5680 (2.4999)	Prec@1 41.016 (39.140)	Prec@5 67.578 (69.084)
Epoch: [87][5180/7045]	Time 0.108 (0.239)	Data 0.001 (0.173)	Loss 2.6330 (2.5001)	Prec@1 39.844 (39.139)	Prec@5 64.844 (69.082)
Epoch: [87][5190/7045]	Time 0.101 (0.239)	Data 0.001 (0.173)	Loss 2.5606 (2.5003)	Prec@1 35.547 (39.134)	Prec@5 67.188 (69.078)
Epoch: [87][5200/7045]	Time 0.102 (0.239)	Data 0.002 (0.173)	Loss 2.5039 (2.5003)	Prec@1 37.500 (39.132)	Prec@5 66.797 (69.078)
Epoch: [87][5210/7045]	Time 0.328 (0.239)	Data 0.276 (0.173)	Loss 2.5265 (2.5004)	Prec@1 34.766 (39.133)	Prec@5 69.141 (69.073)
Epoch: [87][5220/7045]	Time 0.109 (0.239)	Data 0.006 (0.173)	Loss 2.5360 (2.5005)	Prec@1 40.234 (39.132)	Prec@5 65.625 (69.070)
Epoch: [87][5230/7045]	Time 0.669 (0.239)	Data 0.617 (0.173)	Loss 2.3244 (2.5006)	Prec@1 42.578 (39.129)	Prec@5 77.344 (69.069)
Epoch: [87][5240/7045]	Time 0.107 (0.239)	Data 0.001 (0.173)	Loss 2.4232 (2.5007)	Prec@1 41.016 (39.129)	Prec@5 69.922 (69.068)
Epoch: [87][5250/7045]	Time 0.616 (0.239)	Data 0.565 (0.173)	Loss 2.4875 (2.5007)	Prec@1 38.281 (39.127)	Prec@5 68.359 (69.067)
Epoch: [87][5260/7045]	Time 0.149 (0.239)	Data 0.097 (0.173)	Loss 2.4765 (2.5008)	Prec@1 39.062 (39.126)	Prec@5 71.094 (69.066)
Epoch: [87][5270/7045]	Time 0.358 (0.239)	Data 0.306 (0.173)	Loss 2.5065 (2.5008)	Prec@1 38.281 (39.126)	Prec@5 69.531 (69.066)
Epoch: [87][5280/7045]	Time 0.127 (0.239)	Data 0.074 (0.173)	Loss 2.4492 (2.5008)	Prec@1 39.453 (39.123)	Prec@5 69.922 (69.065)
Epoch: [87][5290/7045]	Time 0.120 (0.239)	Data 0.060 (0.173)	Loss 2.4941 (2.5008)	Prec@1 41.406 (39.123)	Prec@5 70.703 (69.064)
Epoch: [87][5300/7045]	Time 0.102 (0.239)	Data 0.004 (0.173)	Loss 2.4925 (2.5008)	Prec@1 39.062 (39.124)	Prec@5 69.922 (69.064)
Epoch: [87][5310/7045]	Time 0.108 (0.239)	Data 0.006 (0.173)	Loss 2.3249 (2.5007)	Prec@1 39.453 (39.124)	Prec@5 70.703 (69.065)
Epoch: [87][5320/7045]	Time 0.102 (0.239)	Data 0.001 (0.173)	Loss 2.5004 (2.5006)	Prec@1 38.672 (39.125)	Prec@5 70.312 (69.068)
Epoch: [87][5330/7045]	Time 0.116 (0.239)	Data 0.056 (0.173)	Loss 2.5433 (2.5005)	Prec@1 38.281 (39.127)	Prec@5 67.188 (69.067)
Epoch: [87][5340/7045]	Time 0.102 (0.239)	Data 0.006 (0.173)	Loss 2.6292 (2.5005)	Prec@1 35.547 (39.126)	Prec@5 66.406 (69.068)
Epoch: [87][5350/7045]	Time 0.109 (0.239)	Data 0.005 (0.173)	Loss 2.5680 (2.5005)	Prec@1 39.062 (39.126)	Prec@5 66.016 (69.067)
Epoch: [87][5360/7045]	Time 0.102 (0.239)	Data 0.004 (0.173)	Loss 2.4219 (2.5005)	Prec@1 38.281 (39.124)	Prec@5 69.531 (69.068)
Epoch: [87][5370/7045]	Time 0.108 (0.239)	Data 0.004 (0.173)	Loss 2.5841 (2.5005)	Prec@1 33.203 (39.125)	Prec@5 66.016 (69.068)
Epoch: [87][5380/7045]	Time 0.102 (0.239)	Data 0.001 (0.173)	Loss 2.4851 (2.5004)	Prec@1 40.234 (39.126)	Prec@5 70.703 (69.067)
Epoch: [87][5390/7045]	Time 0.107 (0.239)	Data 0.007 (0.173)	Loss 2.7439 (2.5005)	Prec@1 38.281 (39.129)	Prec@5 65.234 (69.069)
Epoch: [87][5400/7045]	Time 0.102 (0.239)	Data 0.001 (0.173)	Loss 2.5501 (2.5004)	Prec@1 33.203 (39.129)	Prec@5 66.797 (69.071)
Epoch: [87][5410/7045]	Time 0.107 (0.239)	Data 0.006 (0.173)	Loss 2.4961 (2.5004)	Prec@1 37.500 (39.125)	Prec@5 66.797 (69.070)
Epoch: [87][5420/7045]	Time 0.102 (0.239)	Data 0.001 (0.173)	Loss 2.5747 (2.5005)	Prec@1 39.453 (39.125)	Prec@5 67.578 (69.068)
Epoch: [87][5430/7045]	Time 0.108 (0.239)	Data 0.001 (0.173)	Loss 2.4942 (2.5004)	Prec@1 37.500 (39.124)	Prec@5 69.141 (69.068)
Epoch: [87][5440/7045]	Time 0.103 (0.239)	Data 0.001 (0.173)	Loss 2.4742 (2.5003)	Prec@1 38.672 (39.126)	Prec@5 71.875 (69.070)
Epoch: [87][5450/7045]	Time 0.108 (0.239)	Data 0.006 (0.173)	Loss 2.3829 (2.5002)	Prec@1 38.672 (39.126)	Prec@5 69.922 (69.071)
Epoch: [87][5460/7045]	Time 0.102 (0.239)	Data 0.001 (0.172)	Loss 2.3707 (2.5002)	Prec@1 41.016 (39.127)	Prec@5 69.531 (69.070)
Epoch: [87][5470/7045]	Time 0.104 (0.239)	Data 0.001 (0.172)	Loss 2.3155 (2.5002)	Prec@1 41.016 (39.126)	Prec@5 71.094 (69.070)
Epoch: [87][5480/7045]	Time 0.103 (0.239)	Data 0.001 (0.172)	Loss 2.3137 (2.5001)	Prec@1 40.625 (39.128)	Prec@5 70.312 (69.071)
Epoch: [87][5490/7045]	Time 0.108 (0.239)	Data 0.004 (0.172)	Loss 2.5442 (2.5001)	Prec@1 37.891 (39.128)	Prec@5 67.188 (69.072)
Epoch: [87][5500/7045]	Time 0.102 (0.239)	Data 0.001 (0.172)	Loss 2.4427 (2.5001)	Prec@1 39.062 (39.129)	Prec@5 73.828 (69.073)
Epoch: [87][5510/7045]	Time 0.108 (0.239)	Data 0.005 (0.172)	Loss 2.4537 (2.5001)	Prec@1 37.891 (39.128)	Prec@5 71.875 (69.073)
Epoch: [87][5520/7045]	Time 0.102 (0.239)	Data 0.001 (0.172)	Loss 2.5143 (2.5001)	Prec@1 36.719 (39.126)	Prec@5 67.578 (69.072)
Epoch: [87][5530/7045]	Time 0.109 (0.239)	Data 0.007 (0.172)	Loss 2.1450 (2.5002)	Prec@1 42.969 (39.125)	Prec@5 73.828 (69.071)
Epoch: [87][5540/7045]	Time 0.103 (0.239)	Data 0.001 (0.172)	Loss 2.5170 (2.5002)	Prec@1 38.281 (39.123)	Prec@5 67.969 (69.070)
Epoch: [87][5550/7045]	Time 0.108 (0.239)	Data 0.007 (0.172)	Loss 2.4358 (2.5003)	Prec@1 38.672 (39.120)	Prec@5 68.750 (69.068)
Epoch: [87][5560/7045]	Time 0.102 (0.239)	Data 0.005 (0.172)	Loss 2.5280 (2.5003)	Prec@1 35.938 (39.120)	Prec@5 69.141 (69.068)
Epoch: [87][5570/7045]	Time 0.103 (0.239)	Data 0.007 (0.172)	Loss 2.6086 (2.5004)	Prec@1 35.938 (39.122)	Prec@5 69.141 (69.068)
Epoch: [87][5580/7045]	Time 0.109 (0.239)	Data 0.056 (0.172)	Loss 2.6344 (2.5004)	Prec@1 33.594 (39.123)	Prec@5 66.406 (69.067)
Epoch: [87][5590/7045]	Time 0.109 (0.239)	Data 0.006 (0.172)	Loss 2.5505 (2.5003)	Prec@1 37.500 (39.124)	Prec@5 69.531 (69.066)
Epoch: [87][5600/7045]	Time 0.105 (0.239)	Data 0.052 (0.172)	Loss 2.3977 (2.5002)	Prec@1 39.453 (39.125)	Prec@5 70.312 (69.066)
Epoch: [87][5610/7045]	Time 0.112 (0.239)	Data 0.008 (0.172)	Loss 2.4515 (2.5002)	Prec@1 40.234 (39.126)	Prec@5 67.969 (69.066)
Epoch: [87][5620/7045]	Time 0.106 (0.239)	Data 0.053 (0.172)	Loss 2.4939 (2.5002)	Prec@1 41.797 (39.129)	Prec@5 67.969 (69.067)
Epoch: [87][5630/7045]	Time 0.102 (0.239)	Data 0.001 (0.172)	Loss 2.8224 (2.5002)	Prec@1 31.250 (39.127)	Prec@5 64.844 (69.068)
Epoch: [87][5640/7045]	Time 0.525 (0.239)	Data 0.472 (0.172)	Loss 2.6468 (2.5003)	Prec@1 40.625 (39.124)	Prec@5 67.578 (69.065)
Epoch: [87][5650/7045]	Time 0.102 (0.239)	Data 0.001 (0.172)	Loss 2.4403 (2.5004)	Prec@1 44.922 (39.127)	Prec@5 67.578 (69.063)
Epoch: [87][5660/7045]	Time 0.623 (0.239)	Data 0.570 (0.172)	Loss 2.5956 (2.5005)	Prec@1 37.109 (39.126)	Prec@5 69.922 (69.060)
Epoch: [87][5670/7045]	Time 0.112 (0.239)	Data 0.059 (0.172)	Loss 2.6368 (2.5005)	Prec@1 39.844 (39.128)	Prec@5 66.016 (69.059)
Epoch: [87][5680/7045]	Time 0.553 (0.239)	Data 0.501 (0.172)	Loss 2.3115 (2.5005)	Prec@1 38.672 (39.127)	Prec@5 74.609 (69.061)
Epoch: [87][5690/7045]	Time 0.112 (0.239)	Data 0.060 (0.172)	Loss 2.5194 (2.5005)	Prec@1 38.281 (39.128)	Prec@5 67.969 (69.062)
Epoch: [87][5700/7045]	Time 0.255 (0.239)	Data 0.202 (0.172)	Loss 2.6516 (2.5003)	Prec@1 37.109 (39.131)	Prec@5 67.578 (69.065)
Epoch: [87][5710/7045]	Time 0.110 (0.239)	Data 0.058 (0.172)	Loss 2.3195 (2.5002)	Prec@1 46.094 (39.134)	Prec@5 69.531 (69.069)
Epoch: [87][5720/7045]	Time 0.109 (0.239)	Data 0.001 (0.172)	Loss 2.5917 (2.5002)	Prec@1 38.281 (39.135)	Prec@5 69.531 (69.069)
Epoch: [87][5730/7045]	Time 0.102 (0.239)	Data 0.001 (0.172)	Loss 2.5095 (2.5001)	Prec@1 38.672 (39.135)	Prec@5 69.922 (69.072)
Epoch: [87][5740/7045]	Time 0.101 (0.239)	Data 0.006 (0.172)	Loss 2.4094 (2.5001)	Prec@1 45.312 (39.134)	Prec@5 69.531 (69.071)
Epoch: [87][5750/7045]	Time 0.135 (0.239)	Data 0.083 (0.172)	Loss 2.5390 (2.5001)	Prec@1 37.109 (39.133)	Prec@5 68.359 (69.072)
Epoch: [87][5760/7045]	Time 0.102 (0.239)	Data 0.005 (0.172)	Loss 2.4716 (2.5001)	Prec@1 40.625 (39.132)	Prec@5 68.750 (69.072)
Epoch: [87][5770/7045]	Time 0.388 (0.239)	Data 0.335 (0.172)	Loss 2.3908 (2.4999)	Prec@1 42.188 (39.134)	Prec@5 69.922 (69.073)
Epoch: [87][5780/7045]	Time 0.102 (0.239)	Data 0.004 (0.172)	Loss 2.6511 (2.5000)	Prec@1 34.375 (39.131)	Prec@5 65.234 (69.070)
Epoch: [87][5790/7045]	Time 0.632 (0.239)	Data 0.581 (0.172)	Loss 2.5753 (2.5000)	Prec@1 37.500 (39.131)	Prec@5 70.312 (69.071)
Epoch: [87][5800/7045]	Time 0.103 (0.239)	Data 0.001 (0.172)	Loss 2.3661 (2.5001)	Prec@1 40.625 (39.130)	Prec@5 72.656 (69.070)
Epoch: [87][5810/7045]	Time 0.605 (0.239)	Data 0.554 (0.172)	Loss 2.4302 (2.5000)	Prec@1 42.188 (39.134)	Prec@5 67.969 (69.071)
Epoch: [87][5820/7045]	Time 0.271 (0.239)	Data 0.220 (0.172)	Loss 2.3832 (2.5000)	Prec@1 39.844 (39.133)	Prec@5 72.656 (69.070)
Epoch: [87][5830/7045]	Time 0.460 (0.239)	Data 0.408 (0.172)	Loss 2.5309 (2.4999)	Prec@1 37.891 (39.135)	Prec@5 71.484 (69.075)
Epoch: [87][5840/7045]	Time 0.228 (0.239)	Data 0.176 (0.172)	Loss 2.6070 (2.4999)	Prec@1 37.500 (39.135)	Prec@5 65.234 (69.076)
Epoch: [87][5850/7045]	Time 0.215 (0.239)	Data 0.156 (0.172)	Loss 2.5708 (2.4999)	Prec@1 34.766 (39.135)	Prec@5 67.969 (69.076)
Epoch: [87][5860/7045]	Time 0.211 (0.239)	Data 0.160 (0.172)	Loss 2.4784 (2.5000)	Prec@1 37.500 (39.133)	Prec@5 69.141 (69.075)
Epoch: [87][5870/7045]	Time 0.111 (0.239)	Data 0.059 (0.172)	Loss 2.3207 (2.5000)	Prec@1 44.141 (39.133)	Prec@5 71.484 (69.077)
Epoch: [87][5880/7045]	Time 0.122 (0.239)	Data 0.070 (0.172)	Loss 2.5877 (2.5000)	Prec@1 35.938 (39.134)	Prec@5 65.625 (69.076)
Epoch: [87][5890/7045]	Time 0.108 (0.239)	Data 0.055 (0.172)	Loss 2.4728 (2.5001)	Prec@1 40.625 (39.132)	Prec@5 68.750 (69.073)
Epoch: [87][5900/7045]	Time 0.102 (0.239)	Data 0.049 (0.172)	Loss 2.4630 (2.5001)	Prec@1 36.719 (39.130)	Prec@5 70.312 (69.073)
Epoch: [87][5910/7045]	Time 0.107 (0.239)	Data 0.054 (0.172)	Loss 2.6544 (2.5001)	Prec@1 35.547 (39.130)	Prec@5 66.406 (69.073)
Epoch: [87][5920/7045]	Time 0.316 (0.239)	Data 0.264 (0.172)	Loss 2.2411 (2.5000)	Prec@1 43.359 (39.132)	Prec@5 73.828 (69.076)
Epoch: [87][5930/7045]	Time 0.101 (0.239)	Data 0.001 (0.172)	Loss 2.5290 (2.5000)	Prec@1 34.766 (39.130)	Prec@5 70.703 (69.076)
Epoch: [87][5940/7045]	Time 0.580 (0.239)	Data 0.527 (0.172)	Loss 2.4910 (2.5000)	Prec@1 41.797 (39.131)	Prec@5 67.578 (69.076)
Epoch: [87][5950/7045]	Time 0.112 (0.239)	Data 0.060 (0.172)	Loss 2.5086 (2.5000)	Prec@1 38.672 (39.132)	Prec@5 70.312 (69.078)
Epoch: [87][5960/7045]	Time 0.602 (0.239)	Data 0.543 (0.172)	Loss 2.7118 (2.5000)	Prec@1 39.844 (39.133)	Prec@5 64.844 (69.077)
Epoch: [87][5970/7045]	Time 0.103 (0.239)	Data 0.001 (0.172)	Loss 2.3617 (2.5000)	Prec@1 43.359 (39.133)	Prec@5 70.703 (69.076)
Epoch: [87][5980/7045]	Time 0.498 (0.239)	Data 0.446 (0.172)	Loss 2.5432 (2.5001)	Prec@1 38.672 (39.133)	Prec@5 69.141 (69.076)
Epoch: [87][5990/7045]	Time 0.258 (0.239)	Data 0.201 (0.172)	Loss 2.3551 (2.5001)	Prec@1 38.281 (39.131)	Prec@5 72.656 (69.076)
Epoch: [87][6000/7045]	Time 0.439 (0.239)	Data 0.388 (0.172)	Loss 2.3082 (2.5001)	Prec@1 40.625 (39.130)	Prec@5 71.094 (69.076)
Epoch: [87][6010/7045]	Time 0.352 (0.239)	Data 0.301 (0.172)	Loss 2.6188 (2.5002)	Prec@1 39.062 (39.129)	Prec@5 69.531 (69.073)
Epoch: [87][6020/7045]	Time 0.312 (0.239)	Data 0.261 (0.172)	Loss 2.3339 (2.5002)	Prec@1 44.531 (39.128)	Prec@5 71.484 (69.072)
Epoch: [87][6030/7045]	Time 0.382 (0.239)	Data 0.332 (0.172)	Loss 2.6505 (2.5002)	Prec@1 39.062 (39.128)	Prec@5 66.406 (69.074)
Epoch: [87][6040/7045]	Time 0.258 (0.239)	Data 0.206 (0.172)	Loss 2.4907 (2.5002)	Prec@1 41.797 (39.129)	Prec@5 71.094 (69.075)
Epoch: [87][6050/7045]	Time 0.392 (0.239)	Data 0.340 (0.172)	Loss 2.6652 (2.5002)	Prec@1 35.547 (39.128)	Prec@5 65.234 (69.074)
Epoch: [87][6060/7045]	Time 0.371 (0.239)	Data 0.319 (0.172)	Loss 2.4526 (2.5001)	Prec@1 39.453 (39.130)	Prec@5 70.312 (69.077)
Epoch: [87][6070/7045]	Time 0.382 (0.239)	Data 0.330 (0.172)	Loss 2.5871 (2.5001)	Prec@1 39.453 (39.130)	Prec@5 67.969 (69.076)
Epoch: [87][6080/7045]	Time 0.272 (0.239)	Data 0.221 (0.172)	Loss 2.7269 (2.5003)	Prec@1 35.156 (39.130)	Prec@5 64.453 (69.073)
Epoch: [87][6090/7045]	Time 0.470 (0.239)	Data 0.417 (0.172)	Loss 2.5540 (2.5003)	Prec@1 39.844 (39.133)	Prec@5 68.359 (69.072)
Epoch: [87][6100/7045]	Time 0.303 (0.239)	Data 0.251 (0.172)	Loss 2.4197 (2.5003)	Prec@1 41.406 (39.133)	Prec@5 72.656 (69.072)
Epoch: [87][6110/7045]	Time 0.488 (0.239)	Data 0.436 (0.172)	Loss 2.5293 (2.5003)	Prec@1 37.500 (39.132)	Prec@5 67.578 (69.072)
Epoch: [87][6120/7045]	Time 0.279 (0.239)	Data 0.226 (0.172)	Loss 2.5495 (2.5002)	Prec@1 35.547 (39.129)	Prec@5 69.141 (69.073)
Epoch: [87][6130/7045]	Time 0.472 (0.239)	Data 0.421 (0.172)	Loss 2.3738 (2.5002)	Prec@1 42.578 (39.130)	Prec@5 70.312 (69.073)
Epoch: [87][6140/7045]	Time 0.267 (0.239)	Data 0.214 (0.172)	Loss 2.3759 (2.5000)	Prec@1 42.969 (39.132)	Prec@5 68.750 (69.075)
Epoch: [87][6150/7045]	Time 0.548 (0.239)	Data 0.497 (0.172)	Loss 2.6876 (2.5001)	Prec@1 35.938 (39.130)	Prec@5 66.016 (69.074)
Epoch: [87][6160/7045]	Time 0.193 (0.238)	Data 0.142 (0.172)	Loss 2.4678 (2.5001)	Prec@1 35.938 (39.131)	Prec@5 72.266 (69.076)
Epoch: [87][6170/7045]	Time 0.567 (0.239)	Data 0.510 (0.172)	Loss 2.4075 (2.5002)	Prec@1 39.062 (39.130)	Prec@5 71.094 (69.074)
Epoch: [87][6180/7045]	Time 0.135 (0.238)	Data 0.084 (0.172)	Loss 2.5008 (2.5001)	Prec@1 38.281 (39.133)	Prec@5 68.359 (69.076)
Epoch: [87][6190/7045]	Time 0.551 (0.239)	Data 0.500 (0.172)	Loss 2.5595 (2.5001)	Prec@1 35.938 (39.134)	Prec@5 66.016 (69.076)
Epoch: [87][6200/7045]	Time 0.139 (0.238)	Data 0.088 (0.172)	Loss 2.5172 (2.5000)	Prec@1 38.672 (39.136)	Prec@5 67.578 (69.077)
Epoch: [87][6210/7045]	Time 0.397 (0.238)	Data 0.338 (0.172)	Loss 2.4618 (2.5001)	Prec@1 39.453 (39.134)	Prec@5 69.531 (69.076)
Epoch: [87][6220/7045]	Time 0.111 (0.238)	Data 0.058 (0.172)	Loss 2.5858 (2.5000)	Prec@1 40.234 (39.135)	Prec@5 67.578 (69.078)
Epoch: [87][6230/7045]	Time 0.394 (0.238)	Data 0.334 (0.172)	Loss 2.5699 (2.5000)	Prec@1 38.672 (39.136)	Prec@5 70.703 (69.078)
Epoch: [87][6240/7045]	Time 0.111 (0.238)	Data 0.058 (0.172)	Loss 2.1856 (2.4999)	Prec@1 44.922 (39.139)	Prec@5 73.828 (69.079)
Epoch: [87][6250/7045]	Time 0.405 (0.238)	Data 0.347 (0.172)	Loss 2.6527 (2.5000)	Prec@1 36.719 (39.137)	Prec@5 65.234 (69.079)
Epoch: [87][6260/7045]	Time 0.103 (0.238)	Data 0.051 (0.172)	Loss 2.1768 (2.5000)	Prec@1 46.094 (39.136)	Prec@5 74.609 (69.077)
Epoch: [87][6270/7045]	Time 0.379 (0.238)	Data 0.319 (0.172)	Loss 2.6470 (2.5000)	Prec@1 38.672 (39.137)	Prec@5 66.406 (69.077)
Epoch: [87][6280/7045]	Time 0.102 (0.238)	Data 0.002 (0.172)	Loss 2.3245 (2.4999)	Prec@1 40.625 (39.140)	Prec@5 71.875 (69.079)
Epoch: [87][6290/7045]	Time 0.401 (0.238)	Data 0.341 (0.172)	Loss 2.4616 (2.4999)	Prec@1 40.625 (39.138)	Prec@5 69.922 (69.077)
Epoch: [87][6300/7045]	Time 0.103 (0.238)	Data 0.001 (0.172)	Loss 2.4862 (2.4997)	Prec@1 37.891 (39.139)	Prec@5 68.359 (69.080)
Epoch: [87][6310/7045]	Time 0.375 (0.238)	Data 0.316 (0.172)	Loss 2.5390 (2.4997)	Prec@1 35.938 (39.137)	Prec@5 65.625 (69.079)
Epoch: [87][6320/7045]	Time 0.102 (0.238)	Data 0.004 (0.172)	Loss 2.5448 (2.4997)	Prec@1 38.672 (39.137)	Prec@5 71.875 (69.080)
Epoch: [87][6330/7045]	Time 0.396 (0.238)	Data 0.337 (0.172)	Loss 2.3686 (2.4997)	Prec@1 38.281 (39.137)	Prec@5 68.750 (69.081)
Epoch: [87][6340/7045]	Time 0.103 (0.238)	Data 0.001 (0.172)	Loss 2.4222 (2.4998)	Prec@1 42.578 (39.137)	Prec@5 66.406 (69.080)
Epoch: [87][6350/7045]	Time 0.426 (0.238)	Data 0.374 (0.172)	Loss 2.6268 (2.4998)	Prec@1 35.547 (39.136)	Prec@5 66.797 (69.081)
Epoch: [87][6360/7045]	Time 0.102 (0.238)	Data 0.001 (0.172)	Loss 2.3613 (2.4997)	Prec@1 39.453 (39.137)	Prec@5 69.141 (69.082)
Epoch: [87][6370/7045]	Time 0.407 (0.238)	Data 0.355 (0.172)	Loss 2.5426 (2.4998)	Prec@1 36.719 (39.134)	Prec@5 66.797 (69.080)
Epoch: [87][6380/7045]	Time 0.102 (0.238)	Data 0.001 (0.172)	Loss 2.4797 (2.4999)	Prec@1 39.062 (39.130)	Prec@5 72.266 (69.079)
Epoch: [87][6390/7045]	Time 0.381 (0.238)	Data 0.329 (0.172)	Loss 2.7180 (2.4999)	Prec@1 40.234 (39.130)	Prec@5 63.672 (69.078)
Epoch: [87][6400/7045]	Time 0.105 (0.238)	Data 0.052 (0.171)	Loss 2.5003 (2.4998)	Prec@1 39.453 (39.131)	Prec@5 69.922 (69.081)
Epoch: [87][6410/7045]	Time 0.330 (0.238)	Data 0.279 (0.172)	Loss 2.4022 (2.4999)	Prec@1 41.406 (39.131)	Prec@5 71.484 (69.080)
Epoch: [87][6420/7045]	Time 0.102 (0.238)	Data 0.050 (0.171)	Loss 2.4815 (2.4999)	Prec@1 39.062 (39.132)	Prec@5 67.969 (69.080)
Epoch: [87][6430/7045]	Time 0.338 (0.238)	Data 0.286 (0.172)	Loss 2.5530 (2.4999)	Prec@1 40.625 (39.131)	Prec@5 69.141 (69.079)
Epoch: [87][6440/7045]	Time 0.106 (0.238)	Data 0.054 (0.171)	Loss 2.4006 (2.4999)	Prec@1 41.016 (39.132)	Prec@5 73.047 (69.080)
Epoch: [87][6450/7045]	Time 0.290 (0.238)	Data 0.231 (0.172)	Loss 2.7590 (2.5000)	Prec@1 36.719 (39.133)	Prec@5 63.672 (69.079)
Epoch: [87][6460/7045]	Time 0.102 (0.238)	Data 0.001 (0.171)	Loss 2.7658 (2.5000)	Prec@1 34.375 (39.131)	Prec@5 64.062 (69.077)
Epoch: [87][6470/7045]	Time 0.335 (0.238)	Data 0.277 (0.172)	Loss 2.4423 (2.5000)	Prec@1 43.359 (39.132)	Prec@5 67.969 (69.075)
Epoch: [87][6480/7045]	Time 0.107 (0.238)	Data 0.054 (0.172)	Loss 2.5968 (2.5000)	Prec@1 40.234 (39.136)	Prec@5 67.578 (69.075)
Epoch: [87][6490/7045]	Time 0.369 (0.238)	Data 0.310 (0.172)	Loss 2.3991 (2.4999)	Prec@1 38.672 (39.134)	Prec@5 71.484 (69.075)
Epoch: [87][6500/7045]	Time 0.101 (0.238)	Data 0.044 (0.172)	Loss 2.5979 (2.5000)	Prec@1 39.062 (39.134)	Prec@5 66.406 (69.075)
Epoch: [87][6510/7045]	Time 0.363 (0.238)	Data 0.304 (0.172)	Loss 2.4595 (2.4999)	Prec@1 42.578 (39.135)	Prec@5 66.016 (69.074)
Epoch: [87][6520/7045]	Time 0.123 (0.238)	Data 0.072 (0.172)	Loss 2.5723 (2.5000)	Prec@1 34.766 (39.135)	Prec@5 67.969 (69.073)
Epoch: [87][6530/7045]	Time 0.341 (0.238)	Data 0.288 (0.172)	Loss 2.5964 (2.5001)	Prec@1 34.766 (39.134)	Prec@5 67.188 (69.073)
Epoch: [87][6540/7045]	Time 0.309 (0.238)	Data 0.256 (0.172)	Loss 2.2537 (2.5001)	Prec@1 46.484 (39.134)	Prec@5 70.703 (69.071)
Epoch: [87][6550/7045]	Time 0.268 (0.238)	Data 0.217 (0.172)	Loss 2.3864 (2.5000)	Prec@1 42.578 (39.136)	Prec@5 74.219 (69.075)
Epoch: [87][6560/7045]	Time 0.410 (0.238)	Data 0.358 (0.172)	Loss 2.5684 (2.5000)	Prec@1 39.453 (39.134)	Prec@5 66.016 (69.074)
Epoch: [87][6570/7045]	Time 0.265 (0.238)	Data 0.214 (0.172)	Loss 2.3785 (2.5000)	Prec@1 42.969 (39.136)	Prec@5 71.484 (69.076)
Epoch: [87][6580/7045]	Time 0.415 (0.238)	Data 0.363 (0.172)	Loss 2.5438 (2.4999)	Prec@1 38.281 (39.138)	Prec@5 66.016 (69.076)
Epoch: [87][6590/7045]	Time 0.238 (0.238)	Data 0.186 (0.172)	Loss 2.5073 (2.4998)	Prec@1 41.016 (39.141)	Prec@5 67.578 (69.078)
Epoch: [87][6600/7045]	Time 0.414 (0.238)	Data 0.363 (0.172)	Loss 2.5123 (2.4998)	Prec@1 37.109 (39.141)	Prec@5 70.703 (69.080)
Epoch: [87][6610/7045]	Time 0.224 (0.238)	Data 0.172 (0.172)	Loss 2.3676 (2.4997)	Prec@1 39.453 (39.142)	Prec@5 71.484 (69.081)
Epoch: [87][6620/7045]	Time 0.438 (0.238)	Data 0.379 (0.172)	Loss 2.8359 (2.4997)	Prec@1 33.203 (39.144)	Prec@5 58.203 (69.080)
Epoch: [87][6630/7045]	Time 0.185 (0.238)	Data 0.133 (0.172)	Loss 2.3850 (2.4997)	Prec@1 41.016 (39.144)	Prec@5 70.312 (69.082)
Epoch: [87][6640/7045]	Time 0.459 (0.238)	Data 0.408 (0.172)	Loss 2.2952 (2.4997)	Prec@1 43.750 (39.145)	Prec@5 71.875 (69.080)
Epoch: [87][6650/7045]	Time 0.175 (0.238)	Data 0.124 (0.172)	Loss 2.4437 (2.4998)	Prec@1 41.406 (39.143)	Prec@5 67.578 (69.077)
Epoch: [87][6660/7045]	Time 0.553 (0.238)	Data 0.502 (0.172)	Loss 2.6389 (2.4999)	Prec@1 37.109 (39.143)	Prec@5 65.625 (69.077)
Epoch: [87][6670/7045]	Time 0.123 (0.238)	Data 0.072 (0.172)	Loss 2.4685 (2.4999)	Prec@1 39.062 (39.144)	Prec@5 67.578 (69.076)
Epoch: [87][6680/7045]	Time 0.501 (0.238)	Data 0.450 (0.172)	Loss 2.6360 (2.5000)	Prec@1 38.281 (39.143)	Prec@5 66.016 (69.074)
Epoch: [87][6690/7045]	Time 0.107 (0.238)	Data 0.055 (0.172)	Loss 2.5374 (2.5000)	Prec@1 38.672 (39.143)	Prec@5 70.312 (69.075)
Epoch: [87][6700/7045]	Time 0.514 (0.238)	Data 0.461 (0.172)	Loss 2.4745 (2.5000)	Prec@1 40.625 (39.144)	Prec@5 70.703 (69.074)
Epoch: [87][6710/7045]	Time 0.112 (0.238)	Data 0.059 (0.172)	Loss 2.5246 (2.5000)	Prec@1 39.453 (39.145)	Prec@5 69.141 (69.073)
Epoch: [87][6720/7045]	Time 0.513 (0.238)	Data 0.461 (0.172)	Loss 2.6674 (2.5000)	Prec@1 34.766 (39.145)	Prec@5 67.188 (69.072)
Epoch: [87][6730/7045]	Time 0.111 (0.238)	Data 0.059 (0.172)	Loss 2.3589 (2.4999)	Prec@1 41.016 (39.147)	Prec@5 71.875 (69.074)
Epoch: [87][6740/7045]	Time 0.478 (0.238)	Data 0.425 (0.172)	Loss 2.5008 (2.4999)	Prec@1 38.672 (39.148)	Prec@5 70.312 (69.075)
Epoch: [87][6750/7045]	Time 0.111 (0.238)	Data 0.058 (0.172)	Loss 2.4951 (2.4999)	Prec@1 38.672 (39.147)	Prec@5 69.141 (69.074)
Epoch: [87][6760/7045]	Time 0.456 (0.238)	Data 0.404 (0.172)	Loss 2.6194 (2.5000)	Prec@1 34.766 (39.147)	Prec@5 69.141 (69.073)
Epoch: [87][6770/7045]	Time 0.111 (0.238)	Data 0.059 (0.172)	Loss 2.5808 (2.5000)	Prec@1 39.844 (39.145)	Prec@5 66.406 (69.072)
Epoch: [87][6780/7045]	Time 0.435 (0.238)	Data 0.383 (0.172)	Loss 2.5755 (2.5000)	Prec@1 39.453 (39.145)	Prec@5 68.750 (69.072)
Epoch: [87][6790/7045]	Time 0.105 (0.238)	Data 0.053 (0.172)	Loss 2.4662 (2.5000)	Prec@1 38.672 (39.148)	Prec@5 70.312 (69.075)
Epoch: [87][6800/7045]	Time 0.447 (0.238)	Data 0.395 (0.172)	Loss 2.5749 (2.5000)	Prec@1 39.453 (39.150)	Prec@5 65.234 (69.074)
Epoch: [87][6810/7045]	Time 0.103 (0.238)	Data 0.001 (0.172)	Loss 2.3260 (2.5000)	Prec@1 42.578 (39.150)	Prec@5 75.781 (69.072)
Epoch: [87][6820/7045]	Time 0.438 (0.238)	Data 0.386 (0.172)	Loss 2.4389 (2.5001)	Prec@1 39.062 (39.148)	Prec@5 66.016 (69.071)
Epoch: [87][6830/7045]	Time 0.102 (0.238)	Data 0.001 (0.172)	Loss 2.2946 (2.5000)	Prec@1 38.281 (39.148)	Prec@5 72.266 (69.072)
Epoch: [87][6840/7045]	Time 0.414 (0.238)	Data 0.362 (0.172)	Loss 2.7280 (2.5000)	Prec@1 37.109 (39.147)	Prec@5 62.500 (69.071)
Epoch: [87][6850/7045]	Time 0.104 (0.238)	Data 0.001 (0.172)	Loss 2.4393 (2.5000)	Prec@1 34.766 (39.149)	Prec@5 69.922 (69.073)
Epoch: [87][6860/7045]	Time 0.390 (0.238)	Data 0.338 (0.172)	Loss 2.3330 (2.4999)	Prec@1 46.484 (39.150)	Prec@5 69.922 (69.074)
Epoch: [87][6870/7045]	Time 0.102 (0.238)	Data 0.001 (0.172)	Loss 2.5622 (2.4999)	Prec@1 41.797 (39.151)	Prec@5 69.141 (69.073)
Epoch: [87][6880/7045]	Time 0.394 (0.238)	Data 0.342 (0.172)	Loss 2.4533 (2.4999)	Prec@1 40.625 (39.153)	Prec@5 69.531 (69.072)
Epoch: [87][6890/7045]	Time 0.112 (0.238)	Data 0.060 (0.172)	Loss 2.7720 (2.5000)	Prec@1 30.469 (39.152)	Prec@5 63.672 (69.072)
Epoch: [87][6900/7045]	Time 0.357 (0.238)	Data 0.304 (0.172)	Loss 2.4863 (2.4999)	Prec@1 42.578 (39.153)	Prec@5 67.578 (69.071)
Epoch: [87][6910/7045]	Time 0.111 (0.238)	Data 0.058 (0.172)	Loss 2.4868 (2.4999)	Prec@1 39.844 (39.155)	Prec@5 71.094 (69.072)
Epoch: [87][6920/7045]	Time 0.393 (0.238)	Data 0.341 (0.172)	Loss 2.4163 (2.4999)	Prec@1 40.234 (39.154)	Prec@5 69.922 (69.071)
Epoch: [87][6930/7045]	Time 0.102 (0.238)	Data 0.001 (0.172)	Loss 2.5442 (2.4999)	Prec@1 33.203 (39.154)	Prec@5 69.531 (69.072)
Epoch: [87][6940/7045]	Time 0.325 (0.238)	Data 0.273 (0.172)	Loss 2.4669 (2.5000)	Prec@1 33.594 (39.150)	Prec@5 72.266 (69.072)
Epoch: [87][6950/7045]	Time 0.111 (0.238)	Data 0.059 (0.172)	Loss 2.5208 (2.5000)	Prec@1 37.500 (39.148)	Prec@5 66.797 (69.071)
Epoch: [87][6960/7045]	Time 0.344 (0.238)	Data 0.292 (0.172)	Loss 2.4741 (2.5001)	Prec@1 42.188 (39.148)	Prec@5 66.797 (69.069)
Epoch: [87][6970/7045]	Time 0.102 (0.238)	Data 0.001 (0.172)	Loss 2.3523 (2.5000)	Prec@1 41.797 (39.150)	Prec@5 73.047 (69.069)
Epoch: [87][6980/7045]	Time 0.227 (0.238)	Data 0.177 (0.172)	Loss 2.2202 (2.4999)	Prec@1 46.094 (39.151)	Prec@5 72.656 (69.072)
Epoch: [87][6990/7045]	Time 0.127 (0.238)	Data 0.075 (0.172)	Loss 2.6301 (2.4999)	Prec@1 33.984 (39.149)	Prec@5 66.406 (69.069)
Epoch: [87][7000/7045]	Time 0.225 (0.238)	Data 0.174 (0.172)	Loss 2.4523 (2.5000)	Prec@1 39.453 (39.147)	Prec@5 68.750 (69.068)
Epoch: [87][7010/7045]	Time 0.107 (0.238)	Data 0.054 (0.172)	Loss 2.3594 (2.5000)	Prec@1 39.844 (39.146)	Prec@5 72.656 (69.067)
Epoch: [87][7020/7045]	Time 0.269 (0.238)	Data 0.217 (0.172)	Loss 2.5634 (2.5001)	Prec@1 38.281 (39.145)	Prec@5 71.094 (69.066)
Epoch: [87][7030/7045]	Time 0.163 (0.238)	Data 0.110 (0.172)	Loss 2.3363 (2.5001)	Prec@1 42.969 (39.146)	Prec@5 71.484 (69.067)
Epoch: [87][7040/7045]	Time 0.270 (0.238)	Data 0.217 (0.172)	Loss 2.3797 (2.5000)	Prec@1 39.062 (39.149)	Prec@5 71.094 (69.068)
Test: [0/143]	Time 1.295 (1.295)	Loss 2.0820 (2.0820)	Prec@1 49.609 (49.609)	Prec@5 76.953 (76.953)
Test: [10/143]	Time 0.054 (0.249)	Loss 1.5455 (2.0147)	Prec@1 63.281 (49.254)	Prec@5 83.984 (79.297)
Test: [20/143]	Time 0.273 (0.225)	Loss 2.0506 (1.9842)	Prec@1 50.000 (48.605)	Prec@5 78.906 (79.632)
Test: [30/143]	Time 0.049 (0.209)	Loss 2.2260 (2.0199)	Prec@1 48.047 (48.538)	Prec@5 71.484 (78.364)
Test: [40/143]	Time 0.048 (0.204)	Loss 2.6666 (2.0507)	Prec@1 27.344 (47.694)	Prec@5 68.750 (77.677)
Test: [50/143]	Time 0.358 (0.198)	Loss 1.8548 (2.0942)	Prec@1 49.219 (46.347)	Prec@5 85.156 (77.198)
Test: [60/143]	Time 0.103 (0.193)	Loss 2.3788 (2.0790)	Prec@1 33.594 (46.670)	Prec@5 74.609 (77.555)
Test: [70/143]	Time 0.426 (0.193)	Loss 2.9165 (2.0681)	Prec@1 27.734 (47.062)	Prec@5 58.984 (77.685)
Test: [80/143]	Time 0.058 (0.188)	Loss 1.8944 (2.0569)	Prec@1 49.609 (47.232)	Prec@5 83.203 (77.990)
Test: [90/143]	Time 0.147 (0.189)	Loss 1.6822 (2.0503)	Prec@1 55.469 (47.248)	Prec@5 87.500 (78.185)
Test: [100/143]	Time 0.310 (0.188)	Loss 1.9596 (2.0481)	Prec@1 46.094 (47.181)	Prec@5 83.594 (78.334)
Test: [110/143]	Time 0.063 (0.186)	Loss 1.8845 (2.0418)	Prec@1 51.953 (47.480)	Prec@5 80.469 (78.459)
Test: [120/143]	Time 0.341 (0.186)	Loss 1.7183 (2.0337)	Prec@1 56.641 (47.724)	Prec@5 84.375 (78.554)
Test: [130/143]	Time 0.059 (0.184)	Loss 1.4726 (2.0432)	Prec@1 67.188 (47.600)	Prec@5 82.812 (78.355)
Test: [140/143]	Time 0.048 (0.185)	Loss 2.9267 (2.0668)	Prec@1 26.562 (47.072)	Prec@5 65.625 (77.920)
 * Prec@1 47.110 Prec@5 77.940
Epoch: [88][0/7045]	Time 2.359 (2.359)	Data 2.296 (2.296)	Loss 2.6644 (2.6644)	Prec@1 35.547 (35.547)	Prec@5 65.625 (65.625)
Epoch: [88][10/7045]	Time 0.102 (0.417)	Data 0.001 (0.332)	Loss 2.4092 (2.4687)	Prec@1 36.719 (39.666)	Prec@5 71.484 (70.028)
Epoch: [88][20/7045]	Time 0.577 (0.343)	Data 0.525 (0.257)	Loss 2.6557 (2.4872)	Prec@1 38.672 (39.695)	Prec@5 64.844 (69.103)
Epoch: [88][30/7045]	Time 0.101 (0.301)	Data 0.001 (0.213)	Loss 2.4897 (2.4980)	Prec@1 39.844 (39.252)	Prec@5 69.531 (69.128)
Epoch: [88][40/7045]	Time 0.641 (0.293)	Data 0.589 (0.205)	Loss 2.4082 (2.4941)	Prec@1 41.406 (39.567)	Prec@5 71.875 (69.264)
Epoch: [88][50/7045]	Time 0.102 (0.276)	Data 0.001 (0.187)	Loss 2.3785 (2.4856)	Prec@1 41.797 (39.545)	Prec@5 70.703 (69.340)
Epoch: [88][60/7045]	Time 0.609 (0.274)	Data 0.556 (0.186)	Loss 2.5017 (2.4929)	Prec@1 39.062 (39.434)	Prec@5 69.141 (69.115)
Epoch: [88][70/7045]	Time 0.103 (0.266)	Data 0.001 (0.178)	Loss 2.3920 (2.4949)	Prec@1 36.719 (39.393)	Prec@5 68.359 (69.130)
Epoch: [88][80/7045]	Time 0.643 (0.266)	Data 0.590 (0.178)	Loss 2.3942 (2.4922)	Prec@1 41.406 (39.458)	Prec@5 71.094 (69.208)
Epoch: [88][90/7045]	Time 0.102 (0.259)	Data 0.001 (0.172)	Loss 2.3183 (2.4927)	Prec@1 41.406 (39.397)	Prec@5 71.484 (69.102)
Epoch: [88][100/7045]	Time 0.591 (0.259)	Data 0.540 (0.172)	Loss 2.3336 (2.4835)	Prec@1 40.234 (39.503)	Prec@5 73.047 (69.369)
Epoch: [88][110/7045]	Time 0.099 (0.255)	Data 0.001 (0.167)	Loss 2.2389 (2.4813)	Prec@1 42.578 (39.647)	Prec@5 72.656 (69.366)
Epoch: [88][120/7045]	Time 0.620 (0.255)	Data 0.567 (0.169)	Loss 2.7334 (2.4859)	Prec@1 35.156 (39.573)	Prec@5 62.891 (69.244)
Epoch: [88][130/7045]	Time 0.106 (0.252)	Data 0.052 (0.166)	Loss 2.5685 (2.4853)	Prec@1 37.891 (39.519)	Prec@5 69.531 (69.284)
Epoch: [88][140/7045]	Time 0.624 (0.253)	Data 0.567 (0.167)	Loss 2.5420 (2.4804)	Prec@1 39.453 (39.664)	Prec@5 75.391 (69.396)
Epoch: [88][150/7045]	Time 0.103 (0.250)	Data 0.050 (0.165)	Loss 2.5353 (2.4821)	Prec@1 38.281 (39.564)	Prec@5 72.266 (69.368)
Epoch: [88][160/7045]	Time 0.643 (0.251)	Data 0.592 (0.167)	Loss 2.6740 (2.4845)	Prec@1 33.594 (39.562)	Prec@5 64.453 (69.310)
Epoch: [88][170/7045]	Time 0.112 (0.248)	Data 0.059 (0.165)	Loss 2.5078 (2.4845)	Prec@1 42.578 (39.567)	Prec@5 67.969 (69.285)
Epoch: [88][180/7045]	Time 0.634 (0.249)	Data 0.582 (0.166)	Loss 2.6581 (2.4853)	Prec@1 39.453 (39.591)	Prec@5 64.453 (69.264)
Epoch: [88][190/7045]	Time 0.104 (0.247)	Data 0.048 (0.164)	Loss 2.4393 (2.4824)	Prec@1 42.969 (39.647)	Prec@5 72.266 (69.337)
Epoch: [88][200/7045]	Time 0.581 (0.248)	Data 0.529 (0.165)	Loss 2.4314 (2.4830)	Prec@1 42.969 (39.616)	Prec@5 68.750 (69.281)
Epoch: [88][210/7045]	Time 0.101 (0.246)	Data 0.001 (0.163)	Loss 2.3069 (2.4827)	Prec@1 42.578 (39.631)	Prec@5 72.656 (69.285)
Epoch: [88][220/7045]	Time 0.584 (0.247)	Data 0.532 (0.163)	Loss 2.5683 (2.4809)	Prec@1 40.234 (39.639)	Prec@5 67.188 (69.337)
Epoch: [88][230/7045]	Time 0.102 (0.245)	Data 0.001 (0.161)	Loss 2.6301 (2.4851)	Prec@1 39.453 (39.588)	Prec@5 69.922 (69.269)
Epoch: [88][240/7045]	Time 0.614 (0.246)	Data 0.563 (0.162)	Loss 2.5494 (2.4874)	Prec@1 39.453 (39.524)	Prec@5 67.578 (69.212)
Epoch: [88][250/7045]	Time 0.103 (0.245)	Data 0.049 (0.161)	Loss 2.4652 (2.4860)	Prec@1 38.281 (39.523)	Prec@5 69.922 (69.260)
Epoch: [88][260/7045]	Time 0.641 (0.245)	Data 0.589 (0.162)	Loss 2.1903 (2.4862)	Prec@1 40.625 (39.520)	Prec@5 74.219 (69.233)
Epoch: [88][270/7045]	Time 0.110 (0.244)	Data 0.001 (0.160)	Loss 2.5363 (2.4884)	Prec@1 41.406 (39.489)	Prec@5 66.016 (69.175)
Epoch: [88][280/7045]	Time 0.520 (0.245)	Data 0.469 (0.161)	Loss 2.3737 (2.4878)	Prec@1 42.578 (39.449)	Prec@5 71.875 (69.214)
Epoch: [88][290/7045]	Time 0.101 (0.244)	Data 0.001 (0.160)	Loss 2.4404 (2.4861)	Prec@1 39.062 (39.476)	Prec@5 68.750 (69.251)
Epoch: [88][300/7045]	Time 0.637 (0.244)	Data 0.583 (0.161)	Loss 2.6229 (2.4895)	Prec@1 32.031 (39.379)	Prec@5 66.797 (69.209)
Epoch: [88][310/7045]	Time 0.102 (0.243)	Data 0.001 (0.159)	Loss 2.3460 (2.4902)	Prec@1 44.141 (39.368)	Prec@5 72.656 (69.200)
Epoch: [88][320/7045]	Time 0.632 (0.244)	Data 0.580 (0.160)	Loss 2.3849 (2.4904)	Prec@1 43.359 (39.372)	Prec@5 71.094 (69.187)
Epoch: [88][330/7045]	Time 0.101 (0.243)	Data 0.001 (0.159)	Loss 2.4907 (2.4917)	Prec@1 42.969 (39.359)	Prec@5 69.531 (69.181)
Epoch: [88][340/7045]	Time 0.627 (0.243)	Data 0.568 (0.160)	Loss 2.6595 (2.4918)	Prec@1 35.547 (39.372)	Prec@5 69.141 (69.197)
Epoch: [88][350/7045]	Time 0.102 (0.242)	Data 0.004 (0.159)	Loss 2.7898 (2.4946)	Prec@1 34.766 (39.341)	Prec@5 63.672 (69.126)
Epoch: [88][360/7045]	Time 0.644 (0.243)	Data 0.583 (0.160)	Loss 2.6849 (2.4965)	Prec@1 34.766 (39.296)	Prec@5 64.844 (69.062)
Epoch: [88][370/7045]	Time 0.102 (0.242)	Data 0.003 (0.159)	Loss 2.2879 (2.4964)	Prec@1 42.969 (39.299)	Prec@5 74.219 (69.028)
Epoch: [88][380/7045]	Time 0.598 (0.243)	Data 0.540 (0.160)	Loss 2.4890 (2.4970)	Prec@1 41.797 (39.295)	Prec@5 69.531 (69.030)
Epoch: [88][390/7045]	Time 0.100 (0.242)	Data 0.001 (0.159)	Loss 2.5671 (2.4978)	Prec@1 35.547 (39.252)	Prec@5 66.797 (69.008)
Epoch: [88][400/7045]	Time 0.623 (0.242)	Data 0.563 (0.160)	Loss 2.4195 (2.4975)	Prec@1 39.453 (39.278)	Prec@5 71.484 (69.000)
Epoch: [88][410/7045]	Time 0.102 (0.242)	Data 0.002 (0.159)	Loss 2.3750 (2.4980)	Prec@1 42.578 (39.279)	Prec@5 70.703 (68.984)
Epoch: [88][420/7045]	Time 0.625 (0.242)	Data 0.572 (0.159)	Loss 2.5517 (2.4978)	Prec@1 42.578 (39.301)	Prec@5 66.406 (68.992)
Epoch: [88][430/7045]	Time 0.100 (0.241)	Data 0.047 (0.159)	Loss 2.7552 (2.4996)	Prec@1 37.891 (39.277)	Prec@5 66.406 (68.954)
Epoch: [88][440/7045]	Time 0.692 (0.242)	Data 0.642 (0.159)	Loss 2.3788 (2.4998)	Prec@1 42.969 (39.252)	Prec@5 70.703 (68.944)
Epoch: [88][450/7045]	Time 0.101 (0.241)	Data 0.001 (0.158)	Loss 2.8013 (2.5019)	Prec@1 33.594 (39.230)	Prec@5 64.062 (68.909)
Epoch: [88][460/7045]	Time 0.640 (0.242)	Data 0.588 (0.159)	Loss 2.3808 (2.5004)	Prec@1 42.969 (39.261)	Prec@5 72.266 (68.947)
Epoch: [88][470/7045]	Time 0.102 (0.241)	Data 0.001 (0.158)	Loss 2.5264 (2.4997)	Prec@1 37.891 (39.258)	Prec@5 71.094 (68.978)
Epoch: [88][480/7045]	Time 0.619 (0.241)	Data 0.567 (0.158)	Loss 2.5000 (2.5004)	Prec@1 36.719 (39.227)	Prec@5 66.797 (68.979)
Epoch: [88][490/7045]	Time 0.102 (0.241)	Data 0.001 (0.157)	Loss 2.4941 (2.5002)	Prec@1 41.406 (39.238)	Prec@5 71.094 (68.985)
Epoch: [88][500/7045]	Time 0.621 (0.241)	Data 0.568 (0.158)	Loss 2.5673 (2.5000)	Prec@1 38.672 (39.254)	Prec@5 71.094 (68.993)
Epoch: [88][510/7045]	Time 0.099 (0.241)	Data 0.001 (0.157)	Loss 2.5440 (2.5002)	Prec@1 37.500 (39.253)	Prec@5 67.969 (68.971)
Epoch: [88][520/7045]	Time 0.632 (0.241)	Data 0.580 (0.157)	Loss 2.4444 (2.5002)	Prec@1 40.625 (39.233)	Prec@5 72.266 (68.983)
Epoch: [88][530/7045]	Time 0.103 (0.240)	Data 0.006 (0.157)	Loss 2.4844 (2.4994)	Prec@1 40.234 (39.244)	Prec@5 68.359 (69.011)
Epoch: [88][540/7045]	Time 0.625 (0.241)	Data 0.573 (0.157)	Loss 2.7068 (2.4999)	Prec@1 33.594 (39.255)	Prec@5 66.016 (69.008)
Epoch: [88][550/7045]	Time 0.102 (0.240)	Data 0.001 (0.156)	Loss 2.6817 (2.5009)	Prec@1 35.938 (39.231)	Prec@5 64.062 (68.991)
Epoch: [88][560/7045]	Time 0.626 (0.241)	Data 0.575 (0.157)	Loss 2.4516 (2.5007)	Prec@1 38.672 (39.257)	Prec@5 68.750 (68.976)
Epoch: [88][570/7045]	Time 0.102 (0.240)	Data 0.001 (0.156)	Loss 2.4193 (2.5001)	Prec@1 35.156 (39.253)	Prec@5 72.656 (68.987)
Epoch: [88][580/7045]	Time 0.622 (0.240)	Data 0.571 (0.157)	Loss 2.5631 (2.4985)	Prec@1 38.672 (39.271)	Prec@5 66.406 (69.026)
Epoch: [88][590/7045]	Time 0.102 (0.240)	Data 0.001 (0.156)	Loss 2.4383 (2.4970)	Prec@1 37.109 (39.306)	Prec@5 71.875 (69.045)
Epoch: [88][600/7045]	Time 0.626 (0.240)	Data 0.574 (0.156)	Loss 2.5264 (2.4970)	Prec@1 39.453 (39.286)	Prec@5 68.750 (69.054)
Epoch: [88][610/7045]	Time 0.102 (0.240)	Data 0.001 (0.156)	Loss 2.3868 (2.4982)	Prec@1 39.453 (39.261)	Prec@5 69.922 (69.033)
Epoch: [88][620/7045]	Time 0.645 (0.240)	Data 0.593 (0.156)	Loss 2.6682 (2.4978)	Prec@1 31.250 (39.268)	Prec@5 64.062 (69.039)
Epoch: [88][630/7045]	Time 0.102 (0.240)	Data 0.001 (0.155)	Loss 2.5092 (2.4982)	Prec@1 39.062 (39.258)	Prec@5 71.094 (69.034)
Epoch: [88][640/7045]	Time 0.625 (0.240)	Data 0.573 (0.156)	Loss 2.5796 (2.4988)	Prec@1 34.375 (39.235)	Prec@5 65.234 (69.020)
Epoch: [88][650/7045]	Time 0.111 (0.240)	Data 0.001 (0.155)	Loss 2.5643 (2.4988)	Prec@1 35.547 (39.246)	Prec@5 66.797 (69.025)
Epoch: [88][660/7045]	Time 0.638 (0.240)	Data 0.586 (0.156)	Loss 2.4484 (2.4984)	Prec@1 38.672 (39.237)	Prec@5 69.922 (69.030)
Epoch: [88][670/7045]	Time 0.109 (0.239)	Data 0.001 (0.155)	Loss 2.3441 (2.4990)	Prec@1 43.359 (39.223)	Prec@5 72.266 (69.011)
Epoch: [88][680/7045]	Time 0.617 (0.240)	Data 0.565 (0.156)	Loss 2.3402 (2.4983)	Prec@1 42.969 (39.227)	Prec@5 74.609 (69.044)
Epoch: [88][690/7045]	Time 0.109 (0.239)	Data 0.001 (0.155)	Loss 2.4197 (2.4983)	Prec@1 42.969 (39.210)	Prec@5 71.875 (69.037)
Epoch: [88][700/7045]	Time 0.631 (0.240)	Data 0.579 (0.156)	Loss 2.4298 (2.4979)	Prec@1 46.094 (39.221)	Prec@5 67.969 (69.055)
Epoch: [88][710/7045]	Time 0.102 (0.239)	Data 0.001 (0.156)	Loss 2.2682 (2.4977)	Prec@1 42.969 (39.217)	Prec@5 74.219 (69.059)
Epoch: [88][720/7045]	Time 0.607 (0.239)	Data 0.556 (0.156)	Loss 2.5183 (2.4977)	Prec@1 37.109 (39.203)	Prec@5 66.797 (69.056)
Epoch: [88][730/7045]	Time 0.102 (0.239)	Data 0.001 (0.156)	Loss 2.4385 (2.4969)	Prec@1 37.500 (39.203)	Prec@5 71.875 (69.078)
Epoch: [88][740/7045]	Time 0.515 (0.239)	Data 0.456 (0.156)	Loss 2.6474 (2.4972)	Prec@1 33.594 (39.178)	Prec@5 66.406 (69.068)
Epoch: [88][750/7045]	Time 0.229 (0.239)	Data 0.169 (0.156)	Loss 2.5980 (2.4977)	Prec@1 36.328 (39.168)	Prec@5 66.406 (69.060)
Epoch: [88][760/7045]	Time 0.327 (0.239)	Data 0.275 (0.157)	Loss 2.4405 (2.4964)	Prec@1 39.844 (39.182)	Prec@5 70.312 (69.086)
Epoch: [88][770/7045]	Time 0.337 (0.239)	Data 0.285 (0.157)	Loss 2.6274 (2.4962)	Prec@1 37.109 (39.179)	Prec@5 67.578 (69.080)
Epoch: [88][780/7045]	Time 0.108 (0.239)	Data 0.055 (0.157)	Loss 2.5437 (2.4959)	Prec@1 39.844 (39.185)	Prec@5 68.750 (69.094)
Epoch: [88][790/7045]	Time 0.243 (0.239)	Data 0.190 (0.157)	Loss 2.3369 (2.4955)	Prec@1 41.406 (39.203)	Prec@5 73.828 (69.101)
Epoch: [88][800/7045]	Time 0.178 (0.239)	Data 0.126 (0.158)	Loss 2.5975 (2.4957)	Prec@1 39.844 (39.200)	Prec@5 69.531 (69.104)
Epoch: [88][810/7045]	Time 0.188 (0.239)	Data 0.136 (0.158)	Loss 2.2707 (2.4957)	Prec@1 42.188 (39.203)	Prec@5 73.047 (69.110)
Epoch: [88][820/7045]	Time 0.207 (0.239)	Data 0.154 (0.158)	Loss 2.6119 (2.4959)	Prec@1 37.109 (39.208)	Prec@5 70.312 (69.113)
Epoch: [88][830/7045]	Time 0.102 (0.239)	Data 0.001 (0.158)	Loss 2.5398 (2.4959)	Prec@1 36.719 (39.188)	Prec@5 67.188 (69.118)
Epoch: [88][840/7045]	Time 0.255 (0.239)	Data 0.204 (0.159)	Loss 2.3854 (2.4959)	Prec@1 41.016 (39.188)	Prec@5 70.703 (69.124)
Epoch: [88][850/7045]	Time 0.239 (0.239)	Data 0.186 (0.159)	Loss 2.4444 (2.4958)	Prec@1 45.703 (39.196)	Prec@5 66.797 (69.123)
Epoch: [88][860/7045]	Time 0.108 (0.239)	Data 0.055 (0.159)	Loss 2.3944 (2.4954)	Prec@1 41.016 (39.194)	Prec@5 73.438 (69.138)
Epoch: [88][870/7045]	Time 0.350 (0.239)	Data 0.291 (0.160)	Loss 2.6165 (2.4955)	Prec@1 34.766 (39.194)	Prec@5 70.703 (69.152)
Epoch: [88][880/7045]	Time 0.154 (0.239)	Data 0.102 (0.160)	Loss 2.5637 (2.4960)	Prec@1 36.328 (39.189)	Prec@5 65.234 (69.146)
Epoch: [88][890/7045]	Time 0.329 (0.239)	Data 0.276 (0.160)	Loss 2.4436 (2.4958)	Prec@1 41.797 (39.197)	Prec@5 70.312 (69.164)
Epoch: [88][900/7045]	Time 0.142 (0.239)	Data 0.090 (0.160)	Loss 2.3670 (2.4957)	Prec@1 45.703 (39.210)	Prec@5 70.703 (69.160)
Epoch: [88][910/7045]	Time 0.356 (0.239)	Data 0.304 (0.160)	Loss 2.5282 (2.4962)	Prec@1 41.406 (39.220)	Prec@5 67.969 (69.152)
Epoch: [88][920/7045]	Time 0.166 (0.239)	Data 0.114 (0.160)	Loss 2.3866 (2.4965)	Prec@1 41.797 (39.207)	Prec@5 68.750 (69.127)
Epoch: [88][930/7045]	Time 0.325 (0.239)	Data 0.273 (0.161)	Loss 2.4635 (2.4966)	Prec@1 41.016 (39.206)	Prec@5 68.359 (69.125)
Epoch: [88][940/7045]	Time 0.167 (0.239)	Data 0.115 (0.161)	Loss 2.4864 (2.4968)	Prec@1 36.328 (39.192)	Prec@5 65.234 (69.116)
Epoch: [88][950/7045]	Time 0.324 (0.239)	Data 0.272 (0.161)	Loss 2.4856 (2.4960)	Prec@1 38.281 (39.194)	Prec@5 71.484 (69.139)
Epoch: [88][960/7045]	Time 0.196 (0.239)	Data 0.144 (0.161)	Loss 2.5896 (2.4956)	Prec@1 36.328 (39.201)	Prec@5 66.406 (69.147)
Epoch: [88][970/7045]	Time 0.297 (0.239)	Data 0.239 (0.161)	Loss 2.4051 (2.4951)	Prec@1 42.969 (39.215)	Prec@5 71.094 (69.159)
Epoch: [88][980/7045]	Time 0.240 (0.239)	Data 0.188 (0.161)	Loss 2.4162 (2.4945)	Prec@1 40.234 (39.218)	Prec@5 68.750 (69.169)
Epoch: [88][990/7045]	Time 0.244 (0.239)	Data 0.185 (0.162)	Loss 2.6544 (2.4942)	Prec@1 35.938 (39.226)	Prec@5 66.016 (69.169)
Epoch: [88][1000/7045]	Time 0.213 (0.239)	Data 0.161 (0.162)	Loss 2.3938 (2.4936)	Prec@1 39.844 (39.235)	Prec@5 72.656 (69.188)
Epoch: [88][1010/7045]	Time 0.248 (0.239)	Data 0.197 (0.162)	Loss 2.4857 (2.4936)	Prec@1 37.891 (39.242)	Prec@5 71.094 (69.193)
Epoch: [88][1020/7045]	Time 0.184 (0.239)	Data 0.133 (0.162)	Loss 2.6459 (2.4940)	Prec@1 37.891 (39.245)	Prec@5 66.797 (69.180)
Epoch: [88][1030/7045]	Time 0.242 (0.239)	Data 0.190 (0.162)	Loss 2.7019 (2.4943)	Prec@1 37.500 (39.230)	Prec@5 66.797 (69.175)
Epoch: [88][1040/7045]	Time 0.168 (0.238)	Data 0.116 (0.162)	Loss 2.6233 (2.4942)	Prec@1 38.672 (39.231)	Prec@5 70.312 (69.173)
Epoch: [88][1050/7045]	Time 0.222 (0.239)	Data 0.170 (0.163)	Loss 2.6066 (2.4938)	Prec@1 39.453 (39.250)	Prec@5 66.406 (69.170)
Epoch: [88][1060/7045]	Time 0.193 (0.238)	Data 0.141 (0.163)	Loss 2.4168 (2.4940)	Prec@1 38.672 (39.241)	Prec@5 71.875 (69.166)
Epoch: [88][1070/7045]	Time 0.207 (0.238)	Data 0.155 (0.163)	Loss 2.1555 (2.4933)	Prec@1 48.438 (39.258)	Prec@5 76.172 (69.176)
Epoch: [88][1080/7045]	Time 0.174 (0.238)	Data 0.123 (0.163)	Loss 2.4542 (2.4934)	Prec@1 42.578 (39.260)	Prec@5 69.922 (69.184)
Epoch: [88][1090/7045]	Time 0.208 (0.238)	Data 0.156 (0.164)	Loss 2.5070 (2.4933)	Prec@1 39.453 (39.253)	Prec@5 71.094 (69.194)
Epoch: [88][1100/7045]	Time 0.186 (0.238)	Data 0.134 (0.164)	Loss 2.3302 (2.4922)	Prec@1 41.797 (39.282)	Prec@5 71.484 (69.218)
Epoch: [88][1110/7045]	Time 0.177 (0.238)	Data 0.125 (0.164)	Loss 2.4971 (2.4923)	Prec@1 45.312 (39.289)	Prec@5 68.359 (69.212)
Epoch: [88][1120/7045]	Time 0.173 (0.238)	Data 0.121 (0.164)	Loss 2.4225 (2.4920)	Prec@1 41.016 (39.289)	Prec@5 71.094 (69.217)
Epoch: [88][1130/7045]	Time 0.121 (0.238)	Data 0.070 (0.164)	Loss 2.2357 (2.4917)	Prec@1 46.875 (39.293)	Prec@5 76.172 (69.229)
Epoch: [88][1140/7045]	Time 0.171 (0.238)	Data 0.118 (0.164)	Loss 2.3207 (2.4914)	Prec@1 42.578 (39.302)	Prec@5 74.219 (69.239)
Epoch: [88][1150/7045]	Time 0.111 (0.238)	Data 0.059 (0.165)	Loss 2.6512 (2.4915)	Prec@1 34.766 (39.304)	Prec@5 66.016 (69.240)
Epoch: [88][1160/7045]	Time 0.229 (0.238)	Data 0.176 (0.165)	Loss 2.3391 (2.4911)	Prec@1 35.156 (39.305)	Prec@5 73.438 (69.243)
Epoch: [88][1170/7045]	Time 0.102 (0.238)	Data 0.049 (0.165)	Loss 2.6563 (2.4913)	Prec@1 37.891 (39.298)	Prec@5 64.453 (69.241)
Epoch: [88][1180/7045]	Time 0.220 (0.238)	Data 0.169 (0.165)	Loss 2.5229 (2.4915)	Prec@1 43.750 (39.290)	Prec@5 70.703 (69.240)
Epoch: [88][1190/7045]	Time 0.101 (0.238)	Data 0.002 (0.165)	Loss 2.6410 (2.4917)	Prec@1 39.062 (39.290)	Prec@5 67.578 (69.233)
Epoch: [88][1200/7045]	Time 0.163 (0.238)	Data 0.112 (0.165)	Loss 2.4094 (2.4918)	Prec@1 38.672 (39.284)	Prec@5 70.312 (69.227)
Epoch: [88][1210/7045]	Time 0.102 (0.238)	Data 0.004 (0.165)	Loss 2.3338 (2.4921)	Prec@1 39.844 (39.278)	Prec@5 72.266 (69.216)
Epoch: [88][1220/7045]	Time 0.176 (0.238)	Data 0.124 (0.165)	Loss 2.9638 (2.4922)	Prec@1 31.250 (39.275)	Prec@5 60.547 (69.220)
Epoch: [88][1230/7045]	Time 0.103 (0.238)	Data 0.003 (0.165)	Loss 2.6355 (2.4922)	Prec@1 36.328 (39.274)	Prec@5 66.016 (69.222)
Epoch: [88][1240/7045]	Time 0.163 (0.238)	Data 0.110 (0.165)	Loss 2.4877 (2.4924)	Prec@1 39.844 (39.272)	Prec@5 67.578 (69.216)
Epoch: [88][1250/7045]	Time 0.102 (0.238)	Data 0.003 (0.165)	Loss 2.5072 (2.4923)	Prec@1 40.625 (39.270)	Prec@5 68.359 (69.225)
Epoch: [88][1260/7045]	Time 0.152 (0.238)	Data 0.100 (0.165)	Loss 2.5891 (2.4923)	Prec@1 35.938 (39.271)	Prec@5 68.359 (69.233)
Epoch: [88][1270/7045]	Time 0.102 (0.238)	Data 0.005 (0.165)	Loss 2.4535 (2.4920)	Prec@1 41.797 (39.281)	Prec@5 71.484 (69.240)
Epoch: [88][1280/7045]	Time 0.132 (0.238)	Data 0.079 (0.165)	Loss 2.6528 (2.4921)	Prec@1 33.203 (39.269)	Prec@5 66.406 (69.231)
Epoch: [88][1290/7045]	Time 0.102 (0.238)	Data 0.005 (0.166)	Loss 2.6086 (2.4920)	Prec@1 39.062 (39.275)	Prec@5 69.531 (69.226)
Epoch: [88][1300/7045]	Time 0.167 (0.238)	Data 0.114 (0.166)	Loss 2.6390 (2.4918)	Prec@1 35.156 (39.274)	Prec@5 69.922 (69.231)
Epoch: [88][1310/7045]	Time 0.102 (0.238)	Data 0.005 (0.166)	Loss 2.2367 (2.4918)	Prec@1 47.656 (39.271)	Prec@5 73.828 (69.235)
Epoch: [88][1320/7045]	Time 0.144 (0.238)	Data 0.092 (0.166)	Loss 2.6350 (2.4922)	Prec@1 36.328 (39.266)	Prec@5 67.578 (69.227)
Epoch: [88][1330/7045]	Time 0.102 (0.238)	Data 0.003 (0.166)	Loss 2.6094 (2.4924)	Prec@1 35.547 (39.262)	Prec@5 69.531 (69.226)
Epoch: [88][1340/7045]	Time 0.136 (0.238)	Data 0.084 (0.166)	Loss 2.6022 (2.4923)	Prec@1 36.719 (39.257)	Prec@5 67.578 (69.227)
Epoch: [88][1350/7045]	Time 0.101 (0.238)	Data 0.044 (0.166)	Loss 2.5007 (2.4921)	Prec@1 38.281 (39.252)	Prec@5 67.969 (69.222)
Epoch: [88][1360/7045]	Time 0.133 (0.238)	Data 0.080 (0.166)	Loss 2.4966 (2.4920)	Prec@1 42.188 (39.253)	Prec@5 69.531 (69.233)
Epoch: [88][1370/7045]	Time 0.102 (0.238)	Data 0.004 (0.166)	Loss 2.4137 (2.4920)	Prec@1 41.016 (39.258)	Prec@5 69.922 (69.231)
Epoch: [88][1380/7045]	Time 0.141 (0.238)	Data 0.089 (0.166)	Loss 2.3617 (2.4921)	Prec@1 41.406 (39.243)	Prec@5 69.531 (69.226)
Epoch: [88][1390/7045]	Time 0.108 (0.238)	Data 0.055 (0.166)	Loss 2.3561 (2.4923)	Prec@1 38.281 (39.240)	Prec@5 71.875 (69.228)
Epoch: [88][1400/7045]	Time 0.118 (0.238)	Data 0.065 (0.166)	Loss 2.4376 (2.4921)	Prec@1 40.625 (39.235)	Prec@5 69.922 (69.227)
Epoch: [88][1410/7045]	Time 0.119 (0.238)	Data 0.067 (0.166)	Loss 2.6476 (2.4921)	Prec@1 35.547 (39.231)	Prec@5 66.016 (69.223)
Epoch: [88][1420/7045]	Time 0.113 (0.238)	Data 0.059 (0.166)	Loss 2.4832 (2.4922)	Prec@1 39.453 (39.228)	Prec@5 69.531 (69.217)
Epoch: [88][1430/7045]	Time 0.133 (0.238)	Data 0.081 (0.167)	Loss 2.2988 (2.4915)	Prec@1 41.797 (39.235)	Prec@5 72.656 (69.229)
Epoch: [88][1440/7045]	Time 0.135 (0.238)	Data 0.082 (0.167)	Loss 2.5249 (2.4915)	Prec@1 35.156 (39.222)	Prec@5 67.969 (69.232)
Epoch: [88][1450/7045]	Time 0.145 (0.238)	Data 0.093 (0.167)	Loss 2.2911 (2.4916)	Prec@1 40.234 (39.221)	Prec@5 79.688 (69.239)
Epoch: [88][1460/7045]	Time 0.174 (0.238)	Data 0.122 (0.167)	Loss 2.6386 (2.4918)	Prec@1 37.891 (39.216)	Prec@5 66.016 (69.234)
Epoch: [88][1470/7045]	Time 0.174 (0.238)	Data 0.121 (0.167)	Loss 2.6336 (2.4923)	Prec@1 33.594 (39.200)	Prec@5 64.453 (69.225)
Epoch: [88][1480/7045]	Time 0.108 (0.238)	Data 0.054 (0.167)	Loss 2.4042 (2.4921)	Prec@1 43.750 (39.204)	Prec@5 69.531 (69.234)
Epoch: [88][1490/7045]	Time 0.187 (0.238)	Data 0.134 (0.167)	Loss 2.6401 (2.4922)	Prec@1 38.281 (39.201)	Prec@5 66.016 (69.234)
Epoch: [88][1500/7045]	Time 0.126 (0.238)	Data 0.074 (0.167)	Loss 2.3720 (2.4921)	Prec@1 41.016 (39.211)	Prec@5 68.359 (69.236)
Epoch: [88][1510/7045]	Time 0.188 (0.238)	Data 0.136 (0.168)	Loss 2.0987 (2.4917)	Prec@1 45.703 (39.218)	Prec@5 76.172 (69.246)
Epoch: [88][1520/7045]	Time 0.131 (0.238)	Data 0.079 (0.168)	Loss 2.5630 (2.4920)	Prec@1 38.672 (39.210)	Prec@5 68.750 (69.241)
Epoch: [88][1530/7045]	Time 0.231 (0.238)	Data 0.179 (0.168)	Loss 2.6327 (2.4921)	Prec@1 41.406 (39.213)	Prec@5 68.359 (69.240)
Epoch: [88][1540/7045]	Time 0.131 (0.237)	Data 0.078 (0.168)	Loss 2.5321 (2.4924)	Prec@1 35.156 (39.199)	Prec@5 68.750 (69.235)
Epoch: [88][1550/7045]	Time 0.227 (0.238)	Data 0.175 (0.168)	Loss 2.5298 (2.4930)	Prec@1 35.156 (39.186)	Prec@5 70.703 (69.221)
Epoch: [88][1560/7045]	Time 0.105 (0.237)	Data 0.052 (0.168)	Loss 2.4968 (2.4933)	Prec@1 36.719 (39.177)	Prec@5 69.531 (69.223)
Epoch: [88][1570/7045]	Time 0.300 (0.238)	Data 0.248 (0.168)	Loss 2.4789 (2.4938)	Prec@1 41.016 (39.174)	Prec@5 69.922 (69.210)
Epoch: [88][1580/7045]	Time 0.120 (0.237)	Data 0.068 (0.168)	Loss 2.7218 (2.4940)	Prec@1 35.547 (39.174)	Prec@5 65.625 (69.204)
Epoch: [88][1590/7045]	Time 0.337 (0.238)	Data 0.277 (0.168)	Loss 2.4141 (2.4938)	Prec@1 37.500 (39.169)	Prec@5 71.875 (69.200)
Epoch: [88][1600/7045]	Time 0.133 (0.237)	Data 0.082 (0.168)	Loss 2.5480 (2.4938)	Prec@1 40.234 (39.168)	Prec@5 68.750 (69.201)
Epoch: [88][1610/7045]	Time 0.377 (0.238)	Data 0.319 (0.169)	Loss 2.3189 (2.4933)	Prec@1 42.578 (39.178)	Prec@5 71.094 (69.208)
Epoch: [88][1620/7045]	Time 0.112 (0.237)	Data 0.059 (0.168)	Loss 2.5320 (2.4935)	Prec@1 39.844 (39.177)	Prec@5 68.750 (69.201)
Epoch: [88][1630/7045]	Time 0.419 (0.238)	Data 0.367 (0.169)	Loss 2.5233 (2.4931)	Prec@1 37.109 (39.183)	Prec@5 67.969 (69.207)
Epoch: [88][1640/7045]	Time 0.104 (0.237)	Data 0.051 (0.168)	Loss 2.6105 (2.4935)	Prec@1 37.500 (39.181)	Prec@5 67.188 (69.204)
Epoch: [88][1650/7045]	Time 0.445 (0.238)	Data 0.385 (0.169)	Loss 2.4606 (2.4935)	Prec@1 40.625 (39.181)	Prec@5 68.750 (69.199)
Epoch: [88][1660/7045]	Time 0.110 (0.237)	Data 0.058 (0.169)	Loss 2.3700 (2.4937)	Prec@1 43.359 (39.178)	Prec@5 68.750 (69.189)
Epoch: [88][1670/7045]	Time 0.479 (0.238)	Data 0.427 (0.169)	Loss 2.3304 (2.4934)	Prec@1 39.062 (39.184)	Prec@5 73.828 (69.193)
Epoch: [88][1680/7045]	Time 0.104 (0.237)	Data 0.050 (0.169)	Loss 2.4631 (2.4935)	Prec@1 37.500 (39.179)	Prec@5 71.875 (69.196)
Epoch: [88][1690/7045]	Time 0.475 (0.237)	Data 0.422 (0.169)	Loss 2.6152 (2.4935)	Prec@1 37.500 (39.185)	Prec@5 66.797 (69.195)
Epoch: [88][1700/7045]	Time 0.110 (0.237)	Data 0.058 (0.169)	Loss 2.3368 (2.4936)	Prec@1 43.359 (39.181)	Prec@5 71.484 (69.192)
Epoch: [88][1710/7045]	Time 0.470 (0.237)	Data 0.411 (0.169)	Loss 2.3633 (2.4936)	Prec@1 39.062 (39.172)	Prec@5 72.656 (69.188)
Epoch: [88][1720/7045]	Time 0.114 (0.237)	Data 0.061 (0.169)	Loss 2.5908 (2.4937)	Prec@1 41.406 (39.177)	Prec@5 66.406 (69.186)
Epoch: [88][1730/7045]	Time 0.493 (0.237)	Data 0.441 (0.169)	Loss 2.3968 (2.4940)	Prec@1 42.578 (39.169)	Prec@5 71.484 (69.178)
Epoch: [88][1740/7045]	Time 0.115 (0.237)	Data 0.062 (0.169)	Loss 2.6018 (2.4936)	Prec@1 39.062 (39.175)	Prec@5 66.797 (69.188)
Epoch: [88][1750/7045]	Time 0.497 (0.237)	Data 0.445 (0.169)	Loss 2.3937 (2.4934)	Prec@1 39.453 (39.186)	Prec@5 71.484 (69.196)
Epoch: [88][1760/7045]	Time 0.133 (0.237)	Data 0.081 (0.169)	Loss 2.5362 (2.4935)	Prec@1 38.281 (39.188)	Prec@5 67.578 (69.191)
Epoch: [88][1770/7045]	Time 0.536 (0.237)	Data 0.477 (0.169)	Loss 2.7517 (2.4940)	Prec@1 38.672 (39.184)	Prec@5 64.453 (69.182)
Epoch: [88][1780/7045]	Time 0.130 (0.237)	Data 0.077 (0.169)	Loss 2.3984 (2.4940)	Prec@1 41.797 (39.183)	Prec@5 71.875 (69.186)
Epoch: [88][1790/7045]	Time 0.563 (0.237)	Data 0.504 (0.169)	Loss 2.3547 (2.4938)	Prec@1 42.578 (39.188)	Prec@5 69.922 (69.194)
Epoch: [88][1800/7045]	Time 0.122 (0.237)	Data 0.070 (0.169)	Loss 2.5041 (2.4938)	Prec@1 37.500 (39.192)	Prec@5 66.016 (69.193)
Epoch: [88][1810/7045]	Time 0.563 (0.237)	Data 0.504 (0.169)	Loss 2.5001 (2.4939)	Prec@1 39.453 (39.189)	Prec@5 66.797 (69.194)
Epoch: [88][1820/7045]	Time 0.112 (0.237)	Data 0.059 (0.169)	Loss 2.6184 (2.4944)	Prec@1 36.719 (39.182)	Prec@5 67.578 (69.190)
Epoch: [88][1830/7045]	Time 0.590 (0.237)	Data 0.537 (0.169)	Loss 2.5263 (2.4943)	Prec@1 34.766 (39.180)	Prec@5 67.188 (69.193)
Epoch: [88][1840/7045]	Time 0.113 (0.237)	Data 0.060 (0.169)	Loss 2.7117 (2.4944)	Prec@1 33.594 (39.168)	Prec@5 65.625 (69.193)
Epoch: [88][1850/7045]	Time 0.601 (0.237)	Data 0.541 (0.169)	Loss 2.5680 (2.4946)	Prec@1 39.844 (39.167)	Prec@5 68.359 (69.196)
Epoch: [88][1860/7045]	Time 0.112 (0.237)	Data 0.059 (0.169)	Loss 2.6322 (2.4950)	Prec@1 38.672 (39.160)	Prec@5 67.188 (69.195)
Epoch: [88][1870/7045]	Time 0.607 (0.237)	Data 0.555 (0.170)	Loss 2.2289 (2.4947)	Prec@1 43.359 (39.163)	Prec@5 73.047 (69.200)
Epoch: [88][1880/7045]	Time 0.109 (0.237)	Data 0.050 (0.169)	Loss 2.3761 (2.4946)	Prec@1 40.234 (39.167)	Prec@5 73.047 (69.202)
Epoch: [88][1890/7045]	Time 0.618 (0.237)	Data 0.559 (0.170)	Loss 2.5569 (2.4947)	Prec@1 34.375 (39.161)	Prec@5 67.969 (69.205)
Epoch: [88][1900/7045]	Time 0.113 (0.237)	Data 0.053 (0.170)	Loss 2.6285 (2.4948)	Prec@1 36.719 (39.165)	Prec@5 69.141 (69.204)
Epoch: [88][1910/7045]	Time 0.619 (0.237)	Data 0.567 (0.170)	Loss 2.5774 (2.4950)	Prec@1 31.641 (39.160)	Prec@5 66.406 (69.198)
Epoch: [88][1920/7045]	Time 0.102 (0.237)	Data 0.050 (0.169)	Loss 2.4358 (2.4950)	Prec@1 36.719 (39.157)	Prec@5 71.094 (69.201)
Epoch: [88][1930/7045]	Time 0.619 (0.237)	Data 0.567 (0.170)	Loss 2.4871 (2.4950)	Prec@1 39.844 (39.158)	Prec@5 69.922 (69.201)
Epoch: [88][1940/7045]	Time 0.104 (0.237)	Data 0.052 (0.169)	Loss 2.5701 (2.4950)	Prec@1 37.891 (39.157)	Prec@5 71.875 (69.205)
Epoch: [88][1950/7045]	Time 0.630 (0.237)	Data 0.577 (0.169)	Loss 2.5228 (2.4952)	Prec@1 35.156 (39.152)	Prec@5 70.312 (69.200)
Epoch: [88][1960/7045]	Time 0.102 (0.237)	Data 0.050 (0.169)	Loss 2.5299 (2.4951)	Prec@1 37.109 (39.155)	Prec@5 68.750 (69.203)
Epoch: [88][1970/7045]	Time 0.619 (0.237)	Data 0.568 (0.169)	Loss 2.3959 (2.4951)	Prec@1 41.016 (39.153)	Prec@5 69.922 (69.201)
Epoch: [88][1980/7045]	Time 0.112 (0.237)	Data 0.060 (0.169)	Loss 2.5621 (2.4950)	Prec@1 37.891 (39.152)	Prec@5 66.406 (69.201)
Epoch: [88][1990/7045]	Time 0.630 (0.237)	Data 0.577 (0.169)	Loss 2.6694 (2.4950)	Prec@1 35.156 (39.151)	Prec@5 66.016 (69.201)
Epoch: [88][2000/7045]	Time 0.105 (0.237)	Data 0.052 (0.169)	Loss 2.4382 (2.4948)	Prec@1 44.141 (39.151)	Prec@5 73.828 (69.207)
Epoch: [88][2010/7045]	Time 0.628 (0.237)	Data 0.576 (0.169)	Loss 2.4985 (2.4946)	Prec@1 39.453 (39.153)	Prec@5 70.312 (69.210)
Epoch: [88][2020/7045]	Time 0.112 (0.237)	Data 0.059 (0.169)	Loss 2.1723 (2.4946)	Prec@1 44.531 (39.153)	Prec@5 79.297 (69.210)
Epoch: [88][2030/7045]	Time 0.630 (0.237)	Data 0.577 (0.169)	Loss 2.3822 (2.4946)	Prec@1 39.453 (39.154)	Prec@5 70.703 (69.213)
Epoch: [88][2040/7045]	Time 0.111 (0.237)	Data 0.058 (0.169)	Loss 2.6495 (2.4948)	Prec@1 34.375 (39.154)	Prec@5 66.016 (69.204)
Epoch: [88][2050/7045]	Time 0.627 (0.237)	Data 0.575 (0.169)	Loss 2.4610 (2.4948)	Prec@1 38.672 (39.152)	Prec@5 70.312 (69.204)
Epoch: [88][2060/7045]	Time 0.112 (0.237)	Data 0.059 (0.169)	Loss 2.5413 (2.4944)	Prec@1 37.500 (39.161)	Prec@5 67.578 (69.214)
Epoch: [88][2070/7045]	Time 0.628 (0.237)	Data 0.569 (0.169)	Loss 2.3755 (2.4942)	Prec@1 43.359 (39.168)	Prec@5 69.141 (69.215)
Epoch: [88][2080/7045]	Time 0.111 (0.237)	Data 0.059 (0.169)	Loss 2.6826 (2.4943)	Prec@1 33.984 (39.159)	Prec@5 63.281 (69.213)
Epoch: [88][2090/7045]	Time 0.625 (0.237)	Data 0.565 (0.169)	Loss 2.3383 (2.4944)	Prec@1 41.016 (39.159)	Prec@5 72.266 (69.212)
Epoch: [88][2100/7045]	Time 0.102 (0.237)	Data 0.049 (0.169)	Loss 2.4094 (2.4944)	Prec@1 40.234 (39.157)	Prec@5 71.875 (69.215)
Epoch: [88][2110/7045]	Time 0.647 (0.237)	Data 0.588 (0.169)	Loss 2.4943 (2.4944)	Prec@1 39.453 (39.158)	Prec@5 71.875 (69.212)
Epoch: [88][2120/7045]	Time 0.103 (0.237)	Data 0.008 (0.169)	Loss 2.5369 (2.4948)	Prec@1 39.062 (39.152)	Prec@5 67.578 (69.204)
Epoch: [88][2130/7045]	Time 0.612 (0.237)	Data 0.560 (0.169)	Loss 2.5894 (2.4949)	Prec@1 39.062 (39.146)	Prec@5 69.141 (69.204)
Epoch: [88][2140/7045]	Time 0.102 (0.237)	Data 0.001 (0.169)	Loss 2.5747 (2.4951)	Prec@1 34.766 (39.139)	Prec@5 66.406 (69.202)
Epoch: [88][2150/7045]	Time 0.628 (0.237)	Data 0.569 (0.169)	Loss 2.5534 (2.4953)	Prec@1 33.984 (39.137)	Prec@5 68.359 (69.199)
Epoch: [88][2160/7045]	Time 0.111 (0.237)	Data 0.059 (0.168)	Loss 2.3076 (2.4955)	Prec@1 48.438 (39.142)	Prec@5 71.875 (69.188)
Epoch: [88][2170/7045]	Time 0.632 (0.237)	Data 0.572 (0.169)	Loss 2.3480 (2.4955)	Prec@1 43.359 (39.141)	Prec@5 72.656 (69.184)
Epoch: [88][2180/7045]	Time 0.103 (0.237)	Data 0.005 (0.168)	Loss 2.5585 (2.4955)	Prec@1 37.109 (39.141)	Prec@5 66.016 (69.183)
Epoch: [88][2190/7045]	Time 0.635 (0.237)	Data 0.583 (0.168)	Loss 2.5073 (2.4954)	Prec@1 40.625 (39.145)	Prec@5 67.578 (69.183)
Epoch: [88][2200/7045]	Time 0.101 (0.237)	Data 0.001 (0.168)	Loss 2.5717 (2.4954)	Prec@1 37.500 (39.143)	Prec@5 71.094 (69.184)
Epoch: [88][2210/7045]	Time 0.586 (0.237)	Data 0.535 (0.168)	Loss 2.3947 (2.4955)	Prec@1 42.578 (39.145)	Prec@5 70.312 (69.183)
Epoch: [88][2220/7045]	Time 0.102 (0.237)	Data 0.003 (0.168)	Loss 2.5514 (2.4957)	Prec@1 35.547 (39.144)	Prec@5 69.531 (69.182)
Epoch: [88][2230/7045]	Time 0.627 (0.237)	Data 0.574 (0.168)	Loss 2.2637 (2.4957)	Prec@1 45.312 (39.145)	Prec@5 73.438 (69.186)
Epoch: [88][2240/7045]	Time 0.103 (0.237)	Data 0.001 (0.168)	Loss 2.6062 (2.4960)	Prec@1 35.156 (39.140)	Prec@5 67.969 (69.181)
Epoch: [88][2250/7045]	Time 0.630 (0.237)	Data 0.579 (0.168)	Loss 2.7158 (2.4960)	Prec@1 37.891 (39.142)	Prec@5 59.375 (69.180)
Epoch: [88][2260/7045]	Time 0.103 (0.237)	Data 0.001 (0.168)	Loss 2.4494 (2.4960)	Prec@1 37.891 (39.145)	Prec@5 71.875 (69.180)
Epoch: [88][2270/7045]	Time 0.616 (0.237)	Data 0.564 (0.168)	Loss 2.5498 (2.4962)	Prec@1 39.453 (39.142)	Prec@5 64.844 (69.175)
Epoch: [88][2280/7045]	Time 0.102 (0.237)	Data 0.001 (0.168)	Loss 2.4763 (2.4961)	Prec@1 39.844 (39.146)	Prec@5 71.875 (69.177)
Epoch: [88][2290/7045]	Time 0.602 (0.237)	Data 0.549 (0.168)	Loss 2.4114 (2.4962)	Prec@1 44.141 (39.148)	Prec@5 69.922 (69.173)
Epoch: [88][2300/7045]	Time 0.102 (0.237)	Data 0.001 (0.167)	Loss 2.2538 (2.4961)	Prec@1 44.141 (39.146)	Prec@5 75.391 (69.174)
Epoch: [88][2310/7045]	Time 0.629 (0.237)	Data 0.577 (0.167)	Loss 2.7025 (2.4963)	Prec@1 36.719 (39.146)	Prec@5 60.938 (69.169)
Epoch: [88][2320/7045]	Time 0.102 (0.237)	Data 0.001 (0.167)	Loss 2.6066 (2.4965)	Prec@1 36.328 (39.146)	Prec@5 62.500 (69.162)
Epoch: [88][2330/7045]	Time 0.627 (0.237)	Data 0.575 (0.167)	Loss 2.6612 (2.4963)	Prec@1 39.844 (39.153)	Prec@5 62.891 (69.163)
Epoch: [88][2340/7045]	Time 0.102 (0.237)	Data 0.001 (0.167)	Loss 2.6890 (2.4963)	Prec@1 36.328 (39.153)	Prec@5 63.672 (69.162)
Epoch: [88][2350/7045]	Time 0.635 (0.237)	Data 0.576 (0.167)	Loss 2.5186 (2.4962)	Prec@1 37.500 (39.152)	Prec@5 69.922 (69.163)
Epoch: [88][2360/7045]	Time 0.101 (0.237)	Data 0.001 (0.167)	Loss 2.7492 (2.4965)	Prec@1 33.984 (39.152)	Prec@5 63.281 (69.160)
Epoch: [88][2370/7045]	Time 0.576 (0.237)	Data 0.518 (0.167)	Loss 2.3221 (2.4962)	Prec@1 38.672 (39.155)	Prec@5 71.875 (69.164)
Epoch: [88][2380/7045]	Time 0.102 (0.237)	Data 0.002 (0.167)	Loss 2.4983 (2.4958)	Prec@1 35.547 (39.159)	Prec@5 69.922 (69.171)
Epoch: [88][2390/7045]	Time 0.644 (0.237)	Data 0.585 (0.167)	Loss 2.4697 (2.4959)	Prec@1 40.234 (39.158)	Prec@5 71.094 (69.172)
Epoch: [88][2400/7045]	Time 0.102 (0.237)	Data 0.003 (0.167)	Loss 2.4575 (2.4960)	Prec@1 34.375 (39.158)	Prec@5 70.703 (69.167)
Epoch: [88][2410/7045]	Time 0.634 (0.237)	Data 0.573 (0.167)	Loss 2.4963 (2.4957)	Prec@1 33.203 (39.166)	Prec@5 67.969 (69.173)
Epoch: [88][2420/7045]	Time 0.108 (0.237)	Data 0.002 (0.167)	Loss 2.6466 (2.4955)	Prec@1 37.500 (39.161)	Prec@5 67.969 (69.177)
Epoch: [88][2430/7045]	Time 0.613 (0.237)	Data 0.554 (0.167)	Loss 2.5089 (2.4955)	Prec@1 41.016 (39.165)	Prec@5 67.578 (69.178)
Epoch: [88][2440/7045]	Time 0.107 (0.237)	Data 0.054 (0.167)	Loss 2.5577 (2.4954)	Prec@1 38.281 (39.163)	Prec@5 69.531 (69.183)
Epoch: [88][2450/7045]	Time 0.599 (0.237)	Data 0.547 (0.167)	Loss 2.3390 (2.4954)	Prec@1 48.828 (39.166)	Prec@5 70.312 (69.183)
Epoch: [88][2460/7045]	Time 0.103 (0.237)	Data 0.050 (0.167)	Loss 2.7091 (2.4956)	Prec@1 34.766 (39.163)	Prec@5 65.234 (69.180)
Epoch: [88][2470/7045]	Time 0.549 (0.237)	Data 0.497 (0.167)	Loss 2.4263 (2.4956)	Prec@1 41.016 (39.163)	Prec@5 68.750 (69.178)
Epoch: [88][2480/7045]	Time 0.117 (0.237)	Data 0.065 (0.167)	Loss 2.3770 (2.4955)	Prec@1 42.188 (39.162)	Prec@5 71.875 (69.177)
Epoch: [88][2490/7045]	Time 0.565 (0.237)	Data 0.513 (0.167)	Loss 2.6587 (2.4957)	Prec@1 33.203 (39.159)	Prec@5 67.578 (69.170)
Epoch: [88][2500/7045]	Time 0.157 (0.237)	Data 0.099 (0.167)	Loss 2.3611 (2.4957)	Prec@1 40.234 (39.156)	Prec@5 70.312 (69.170)
Epoch: [88][2510/7045]	Time 0.513 (0.237)	Data 0.460 (0.167)	Loss 2.5502 (2.4959)	Prec@1 42.188 (39.153)	Prec@5 69.141 (69.166)
Epoch: [88][2520/7045]	Time 0.210 (0.237)	Data 0.159 (0.167)	Loss 2.3754 (2.4960)	Prec@1 40.625 (39.153)	Prec@5 68.750 (69.163)
Epoch: [88][2530/7045]	Time 0.446 (0.237)	Data 0.394 (0.167)	Loss 2.6084 (2.4957)	Prec@1 37.109 (39.158)	Prec@5 66.406 (69.165)
Epoch: [88][2540/7045]	Time 0.213 (0.237)	Data 0.162 (0.167)	Loss 2.1739 (2.4952)	Prec@1 41.406 (39.163)	Prec@5 77.734 (69.174)
Epoch: [88][2550/7045]	Time 0.402 (0.237)	Data 0.350 (0.167)	Loss 2.4632 (2.4953)	Prec@1 40.625 (39.162)	Prec@5 69.141 (69.174)
Epoch: [88][2560/7045]	Time 0.207 (0.237)	Data 0.156 (0.167)	Loss 2.5859 (2.4952)	Prec@1 39.062 (39.168)	Prec@5 67.188 (69.180)
Epoch: [88][2570/7045]	Time 0.347 (0.237)	Data 0.295 (0.167)	Loss 2.3705 (2.4949)	Prec@1 42.578 (39.173)	Prec@5 73.828 (69.185)
Epoch: [88][2580/7045]	Time 0.279 (0.237)	Data 0.226 (0.167)	Loss 2.6392 (2.4950)	Prec@1 36.328 (39.176)	Prec@5 66.016 (69.180)
Epoch: [88][2590/7045]	Time 0.373 (0.237)	Data 0.322 (0.167)	Loss 2.6570 (2.4950)	Prec@1 35.547 (39.177)	Prec@5 64.844 (69.179)
Epoch: [88][2600/7045]	Time 0.280 (0.237)	Data 0.229 (0.167)	Loss 2.3564 (2.4947)	Prec@1 42.578 (39.181)	Prec@5 68.750 (69.179)
Epoch: [88][2610/7045]	Time 0.316 (0.237)	Data 0.265 (0.167)	Loss 2.4108 (2.4944)	Prec@1 42.188 (39.185)	Prec@5 72.266 (69.186)
Epoch: [88][2620/7045]	Time 0.235 (0.237)	Data 0.182 (0.167)	Loss 2.4510 (2.4942)	Prec@1 41.406 (39.189)	Prec@5 68.359 (69.192)
Epoch: [88][2630/7045]	Time 0.290 (0.237)	Data 0.239 (0.167)	Loss 2.4630 (2.4939)	Prec@1 40.625 (39.196)	Prec@5 69.141 (69.198)
Epoch: [88][2640/7045]	Time 0.232 (0.237)	Data 0.181 (0.167)	Loss 2.4725 (2.4939)	Prec@1 40.625 (39.196)	Prec@5 68.359 (69.198)
Epoch: [88][2650/7045]	Time 0.295 (0.237)	Data 0.244 (0.167)	Loss 2.4831 (2.4937)	Prec@1 39.062 (39.197)	Prec@5 70.703 (69.203)
Epoch: [88][2660/7045]	Time 0.223 (0.237)	Data 0.172 (0.167)	Loss 2.3432 (2.4937)	Prec@1 44.922 (39.200)	Prec@5 72.266 (69.203)
Epoch: [88][2670/7045]	Time 0.300 (0.237)	Data 0.248 (0.167)	Loss 2.6013 (2.4938)	Prec@1 37.891 (39.199)	Prec@5 64.062 (69.201)
Epoch: [88][2680/7045]	Time 0.193 (0.237)	Data 0.141 (0.167)	Loss 2.4024 (2.4939)	Prec@1 41.797 (39.199)	Prec@5 72.656 (69.200)
Epoch: [88][2690/7045]	Time 0.278 (0.237)	Data 0.227 (0.167)	Loss 2.5935 (2.4939)	Prec@1 35.547 (39.193)	Prec@5 67.969 (69.196)
Epoch: [88][2700/7045]	Time 0.249 (0.237)	Data 0.199 (0.167)	Loss 2.4800 (2.4940)	Prec@1 38.281 (39.189)	Prec@5 68.359 (69.189)
Epoch: [88][2710/7045]	Time 0.224 (0.237)	Data 0.173 (0.167)	Loss 2.3747 (2.4942)	Prec@1 43.359 (39.187)	Prec@5 71.875 (69.189)
Epoch: [88][2720/7045]	Time 0.266 (0.237)	Data 0.206 (0.167)	Loss 2.6719 (2.4942)	Prec@1 32.031 (39.186)	Prec@5 66.797 (69.193)
Epoch: [88][2730/7045]	Time 0.229 (0.237)	Data 0.177 (0.167)	Loss 2.3894 (2.4944)	Prec@1 40.234 (39.179)	Prec@5 73.047 (69.192)
Epoch: [88][2740/7045]	Time 0.243 (0.237)	Data 0.186 (0.168)	Loss 2.4966 (2.4944)	Prec@1 37.500 (39.179)	Prec@5 69.141 (69.191)
Epoch: [88][2750/7045]	Time 0.201 (0.237)	Data 0.149 (0.168)	Loss 2.3683 (2.4941)	Prec@1 44.141 (39.183)	Prec@5 73.047 (69.196)
Epoch: [88][2760/7045]	Time 0.228 (0.237)	Data 0.170 (0.168)	Loss 2.2413 (2.4941)	Prec@1 41.016 (39.184)	Prec@5 73.438 (69.196)
Epoch: [88][2770/7045]	Time 0.168 (0.237)	Data 0.116 (0.168)	Loss 2.4456 (2.4942)	Prec@1 39.453 (39.183)	Prec@5 73.438 (69.194)
Epoch: [88][2780/7045]	Time 0.262 (0.237)	Data 0.204 (0.168)	Loss 2.5606 (2.4944)	Prec@1 36.328 (39.180)	Prec@5 65.625 (69.188)
Epoch: [88][2790/7045]	Time 0.109 (0.237)	Data 0.056 (0.168)	Loss 2.5022 (2.4944)	Prec@1 37.500 (39.185)	Prec@5 69.141 (69.192)
Epoch: [88][2800/7045]	Time 0.265 (0.237)	Data 0.212 (0.168)	Loss 2.4734 (2.4943)	Prec@1 37.109 (39.182)	Prec@5 69.922 (69.193)
Epoch: [88][2810/7045]	Time 0.102 (0.237)	Data 0.014 (0.168)	Loss 2.5025 (2.4944)	Prec@1 38.672 (39.182)	Prec@5 67.969 (69.193)
Epoch: [88][2820/7045]	Time 0.280 (0.237)	Data 0.227 (0.168)	Loss 2.6028 (2.4946)	Prec@1 39.844 (39.179)	Prec@5 68.359 (69.190)
Epoch: [88][2830/7045]	Time 0.102 (0.237)	Data 0.001 (0.168)	Loss 2.3492 (2.4945)	Prec@1 42.188 (39.181)	Prec@5 72.656 (69.190)
Epoch: [88][2840/7045]	Time 0.290 (0.237)	Data 0.237 (0.168)	Loss 2.3724 (2.4946)	Prec@1 41.016 (39.181)	Prec@5 70.703 (69.188)
Epoch: [88][2850/7045]	Time 0.102 (0.237)	Data 0.004 (0.168)	Loss 2.4648 (2.4948)	Prec@1 38.672 (39.180)	Prec@5 71.094 (69.183)
Epoch: [88][2860/7045]	Time 0.300 (0.237)	Data 0.248 (0.168)	Loss 2.5087 (2.4947)	Prec@1 39.453 (39.184)	Prec@5 67.969 (69.183)
Epoch: [88][2870/7045]	Time 0.101 (0.237)	Data 0.004 (0.168)	Loss 2.4501 (2.4948)	Prec@1 41.406 (39.181)	Prec@5 69.141 (69.184)
Epoch: [88][2880/7045]	Time 0.334 (0.237)	Data 0.275 (0.168)	Loss 2.5339 (2.4948)	Prec@1 39.062 (39.179)	Prec@5 71.875 (69.183)
Epoch: [88][2890/7045]	Time 0.102 (0.237)	Data 0.006 (0.168)	Loss 2.2786 (2.4950)	Prec@1 42.969 (39.182)	Prec@5 73.438 (69.177)
Epoch: [88][2900/7045]	Time 0.320 (0.237)	Data 0.261 (0.168)	Loss 2.4707 (2.4950)	Prec@1 40.234 (39.182)	Prec@5 69.141 (69.176)
Epoch: [88][2910/7045]	Time 0.146 (0.237)	Data 0.093 (0.168)	Loss 2.7389 (2.4952)	Prec@1 37.891 (39.179)	Prec@5 66.406 (69.174)
Epoch: [88][2920/7045]	Time 0.312 (0.237)	Data 0.252 (0.168)	Loss 2.4436 (2.4951)	Prec@1 39.062 (39.184)	Prec@5 72.656 (69.176)
Epoch: [88][2930/7045]	Time 0.130 (0.237)	Data 0.077 (0.168)	Loss 2.4674 (2.4950)	Prec@1 41.016 (39.189)	Prec@5 71.094 (69.178)
Epoch: [88][2940/7045]	Time 0.343 (0.237)	Data 0.291 (0.168)	Loss 2.4250 (2.4950)	Prec@1 41.016 (39.189)	Prec@5 69.922 (69.176)
Epoch: [88][2950/7045]	Time 0.103 (0.237)	Data 0.051 (0.168)	Loss 2.4287 (2.4949)	Prec@1 38.672 (39.190)	Prec@5 71.875 (69.179)
Epoch: [88][2960/7045]	Time 0.353 (0.237)	Data 0.302 (0.168)	Loss 2.4747 (2.4950)	Prec@1 43.750 (39.193)	Prec@5 69.531 (69.175)
Epoch: [88][2970/7045]	Time 0.112 (0.237)	Data 0.059 (0.168)	Loss 2.4433 (2.4948)	Prec@1 37.500 (39.198)	Prec@5 71.484 (69.177)
Epoch: [88][2980/7045]	Time 0.341 (0.237)	Data 0.289 (0.168)	Loss 2.4690 (2.4948)	Prec@1 36.719 (39.197)	Prec@5 69.922 (69.182)
Epoch: [88][2990/7045]	Time 0.152 (0.237)	Data 0.100 (0.168)	Loss 2.3722 (2.4948)	Prec@1 42.188 (39.201)	Prec@5 72.656 (69.183)
Epoch: [88][3000/7045]	Time 0.379 (0.237)	Data 0.327 (0.168)	Loss 2.3461 (2.4947)	Prec@1 42.578 (39.203)	Prec@5 71.875 (69.183)
Epoch: [88][3010/7045]	Time 0.162 (0.237)	Data 0.111 (0.168)	Loss 2.4956 (2.4948)	Prec@1 38.281 (39.197)	Prec@5 68.359 (69.178)
Epoch: [88][3020/7045]	Time 0.340 (0.237)	Data 0.289 (0.168)	Loss 2.6759 (2.4948)	Prec@1 30.469 (39.195)	Prec@5 67.969 (69.178)
Epoch: [88][3030/7045]	Time 0.185 (0.237)	Data 0.133 (0.168)	Loss 2.3528 (2.4948)	Prec@1 43.359 (39.197)	Prec@5 69.922 (69.179)
Epoch: [88][3040/7045]	Time 0.345 (0.237)	Data 0.286 (0.168)	Loss 2.5595 (2.4950)	Prec@1 42.188 (39.194)	Prec@5 67.969 (69.175)
Epoch: [88][3050/7045]	Time 0.186 (0.237)	Data 0.134 (0.168)	Loss 2.5832 (2.4949)	Prec@1 37.891 (39.196)	Prec@5 66.406 (69.172)
Epoch: [88][3060/7045]	Time 0.392 (0.237)	Data 0.332 (0.168)	Loss 2.5679 (2.4949)	Prec@1 34.766 (39.196)	Prec@5 71.094 (69.174)
Epoch: [88][3070/7045]	Time 0.191 (0.237)	Data 0.139 (0.168)	Loss 2.5974 (2.4949)	Prec@1 34.375 (39.193)	Prec@5 65.625 (69.174)
Epoch: [88][3080/7045]	Time 0.362 (0.237)	Data 0.303 (0.169)	Loss 2.2209 (2.4949)	Prec@1 42.969 (39.195)	Prec@5 70.703 (69.173)
Epoch: [88][3090/7045]	Time 0.333 (0.237)	Data 0.281 (0.169)	Loss 2.5878 (2.4949)	Prec@1 37.891 (39.196)	Prec@5 70.703 (69.173)
Epoch: [88][3100/7045]	Time 0.331 (0.237)	Data 0.273 (0.169)	Loss 2.4460 (2.4949)	Prec@1 40.234 (39.195)	Prec@5 71.094 (69.173)
Epoch: [88][3110/7045]	Time 0.349 (0.237)	Data 0.297 (0.169)	Loss 2.5753 (2.4951)	Prec@1 37.891 (39.192)	Prec@5 67.188 (69.168)
Epoch: [88][3120/7045]	Time 0.298 (0.237)	Data 0.246 (0.169)	Loss 2.6468 (2.4952)	Prec@1 36.719 (39.193)	Prec@5 65.625 (69.169)
Epoch: [88][3130/7045]	Time 0.358 (0.237)	Data 0.306 (0.169)	Loss 2.4440 (2.4951)	Prec@1 42.188 (39.193)	Prec@5 69.141 (69.171)
Epoch: [88][3140/7045]	Time 0.286 (0.237)	Data 0.234 (0.169)	Loss 2.3125 (2.4947)	Prec@1 46.094 (39.200)	Prec@5 71.875 (69.180)
Epoch: [88][3150/7045]	Time 0.341 (0.237)	Data 0.289 (0.169)	Loss 2.5057 (2.4945)	Prec@1 38.672 (39.206)	Prec@5 68.750 (69.183)
Epoch: [88][3160/7045]	Time 0.272 (0.237)	Data 0.221 (0.169)	Loss 2.4257 (2.4945)	Prec@1 37.109 (39.203)	Prec@5 72.266 (69.180)
Epoch: [88][3170/7045]	Time 0.338 (0.237)	Data 0.286 (0.169)	Loss 2.5773 (2.4947)	Prec@1 37.500 (39.200)	Prec@5 68.359 (69.177)
Epoch: [88][3180/7045]	Time 0.287 (0.237)	Data 0.235 (0.169)	Loss 2.3619 (2.4947)	Prec@1 39.844 (39.197)	Prec@5 68.359 (69.177)
Epoch: [88][3190/7045]	Time 0.321 (0.237)	Data 0.268 (0.169)	Loss 2.4922 (2.4947)	Prec@1 40.234 (39.197)	Prec@5 68.359 (69.176)
Epoch: [88][3200/7045]	Time 0.260 (0.237)	Data 0.208 (0.169)	Loss 2.3361 (2.4947)	Prec@1 41.797 (39.199)	Prec@5 70.312 (69.175)
Epoch: [88][3210/7045]	Time 0.340 (0.237)	Data 0.281 (0.169)	Loss 2.3951 (2.4946)	Prec@1 42.188 (39.199)	Prec@5 70.312 (69.177)
Epoch: [88][3220/7045]	Time 0.265 (0.237)	Data 0.214 (0.169)	Loss 2.5322 (2.4946)	Prec@1 40.625 (39.200)	Prec@5 69.922 (69.181)
Epoch: [88][3230/7045]	Time 0.342 (0.237)	Data 0.291 (0.169)	Loss 2.4554 (2.4944)	Prec@1 39.062 (39.202)	Prec@5 69.141 (69.184)
Epoch: [88][3240/7045]	Time 0.249 (0.237)	Data 0.199 (0.169)	Loss 2.5017 (2.4946)	Prec@1 42.578 (39.202)	Prec@5 70.312 (69.182)
Epoch: [88][3250/7045]	Time 0.355 (0.237)	Data 0.296 (0.169)	Loss 2.5035 (2.4945)	Prec@1 38.672 (39.204)	Prec@5 67.969 (69.184)
Epoch: [88][3260/7045]	Time 0.227 (0.237)	Data 0.173 (0.169)	Loss 2.5872 (2.4945)	Prec@1 35.938 (39.204)	Prec@5 66.797 (69.183)
Epoch: [88][3270/7045]	Time 0.344 (0.237)	Data 0.286 (0.169)	Loss 2.3668 (2.4945)	Prec@1 42.578 (39.202)	Prec@5 70.703 (69.182)
Epoch: [88][3280/7045]	Time 0.201 (0.237)	Data 0.150 (0.169)	Loss 2.4113 (2.4945)	Prec@1 41.797 (39.200)	Prec@5 73.828 (69.183)
Epoch: [88][3290/7045]	Time 0.314 (0.237)	Data 0.263 (0.169)	Loss 2.5023 (2.4944)	Prec@1 37.891 (39.206)	Prec@5 70.312 (69.185)
Epoch: [88][3300/7045]	Time 0.180 (0.237)	Data 0.130 (0.169)	Loss 2.4243 (2.4944)	Prec@1 34.766 (39.204)	Prec@5 71.094 (69.187)
Epoch: [88][3310/7045]	Time 0.317 (0.237)	Data 0.265 (0.170)	Loss 2.5016 (2.4943)	Prec@1 34.375 (39.202)	Prec@5 71.484 (69.192)
Epoch: [88][3320/7045]	Time 0.154 (0.237)	Data 0.102 (0.170)	Loss 2.6310 (2.4943)	Prec@1 37.500 (39.199)	Prec@5 69.531 (69.191)
Epoch: [88][3330/7045]	Time 0.319 (0.237)	Data 0.267 (0.170)	Loss 2.4106 (2.4943)	Prec@1 38.672 (39.197)	Prec@5 71.094 (69.191)
Epoch: [88][3340/7045]	Time 0.142 (0.237)	Data 0.090 (0.170)	Loss 2.3607 (2.4942)	Prec@1 39.453 (39.197)	Prec@5 71.875 (69.193)
Epoch: [88][3350/7045]	Time 0.301 (0.237)	Data 0.249 (0.170)	Loss 2.4824 (2.4943)	Prec@1 37.891 (39.195)	Prec@5 71.094 (69.193)
Epoch: [88][3360/7045]	Time 0.112 (0.237)	Data 0.060 (0.170)	Loss 2.4701 (2.4943)	Prec@1 36.328 (39.192)	Prec@5 67.969 (69.194)
Epoch: [88][3370/7045]	Time 0.350 (0.237)	Data 0.298 (0.170)	Loss 2.5692 (2.4943)	Prec@1 40.625 (39.192)	Prec@5 67.969 (69.193)
Epoch: [88][3380/7045]	Time 0.125 (0.237)	Data 0.072 (0.170)	Loss 2.3601 (2.4943)	Prec@1 42.578 (39.192)	Prec@5 73.047 (69.193)
Epoch: [88][3390/7045]	Time 0.339 (0.237)	Data 0.287 (0.170)	Loss 2.4960 (2.4944)	Prec@1 36.719 (39.189)	Prec@5 68.359 (69.189)
Epoch: [88][3400/7045]	Time 0.112 (0.237)	Data 0.059 (0.170)	Loss 2.6165 (2.4944)	Prec@1 35.547 (39.188)	Prec@5 65.625 (69.189)
Epoch: [88][3410/7045]	Time 0.319 (0.237)	Data 0.268 (0.170)	Loss 2.4685 (2.4944)	Prec@1 41.016 (39.189)	Prec@5 70.703 (69.188)
Epoch: [88][3420/7045]	Time 0.102 (0.237)	Data 0.007 (0.170)	Loss 2.5666 (2.4944)	Prec@1 34.375 (39.186)	Prec@5 67.578 (69.190)
Epoch: [88][3430/7045]	Time 0.331 (0.237)	Data 0.280 (0.170)	Loss 2.6121 (2.4944)	Prec@1 38.672 (39.184)	Prec@5 66.797 (69.191)
Epoch: [88][3440/7045]	Time 0.102 (0.237)	Data 0.006 (0.170)	Loss 2.5101 (2.4947)	Prec@1 40.625 (39.180)	Prec@5 69.531 (69.186)
Epoch: [88][3450/7045]	Time 0.319 (0.237)	Data 0.267 (0.170)	Loss 2.5447 (2.4946)	Prec@1 37.500 (39.180)	Prec@5 69.922 (69.188)
Epoch: [88][3460/7045]	Time 0.102 (0.237)	Data 0.002 (0.170)	Loss 2.3340 (2.4946)	Prec@1 43.359 (39.179)	Prec@5 73.047 (69.190)
Epoch: [88][3470/7045]	Time 0.317 (0.237)	Data 0.264 (0.170)	Loss 2.4759 (2.4946)	Prec@1 38.672 (39.178)	Prec@5 68.750 (69.189)
Epoch: [88][3480/7045]	Time 0.102 (0.237)	Data 0.006 (0.170)	Loss 2.3799 (2.4946)	Prec@1 39.453 (39.176)	Prec@5 69.531 (69.186)
Epoch: [88][3490/7045]	Time 0.329 (0.237)	Data 0.276 (0.170)	Loss 2.6550 (2.4946)	Prec@1 38.281 (39.181)	Prec@5 67.578 (69.188)
Epoch: [88][3500/7045]	Time 0.102 (0.236)	Data 0.001 (0.170)	Loss 2.6838 (2.4948)	Prec@1 37.891 (39.179)	Prec@5 68.359 (69.184)
Epoch: [88][3510/7045]	Time 0.331 (0.237)	Data 0.279 (0.170)	Loss 2.5562 (2.4948)	Prec@1 39.844 (39.178)	Prec@5 67.188 (69.182)
Epoch: [88][3520/7045]	Time 0.102 (0.236)	Data 0.005 (0.170)	Loss 2.4521 (2.4949)	Prec@1 41.016 (39.174)	Prec@5 71.484 (69.182)
Epoch: [88][3530/7045]	Time 0.310 (0.237)	Data 0.258 (0.170)	Loss 2.5936 (2.4950)	Prec@1 37.500 (39.172)	Prec@5 66.016 (69.182)
Epoch: [88][3540/7045]	Time 0.102 (0.236)	Data 0.001 (0.170)	Loss 2.4324 (2.4948)	Prec@1 39.844 (39.173)	Prec@5 70.703 (69.187)
Epoch: [88][3550/7045]	Time 0.303 (0.237)	Data 0.243 (0.170)	Loss 2.6731 (2.4948)	Prec@1 37.891 (39.176)	Prec@5 65.234 (69.186)
Epoch: [88][3560/7045]	Time 0.102 (0.236)	Data 0.001 (0.170)	Loss 2.5737 (2.4948)	Prec@1 36.719 (39.178)	Prec@5 69.531 (69.190)
Epoch: [88][3570/7045]	Time 0.347 (0.237)	Data 0.295 (0.170)	Loss 2.4101 (2.4947)	Prec@1 42.578 (39.181)	Prec@5 69.922 (69.191)
Epoch: [88][3580/7045]	Time 0.105 (0.236)	Data 0.052 (0.170)	Loss 2.4208 (2.4946)	Prec@1 42.188 (39.182)	Prec@5 68.750 (69.195)
Epoch: [88][3590/7045]	Time 0.345 (0.237)	Data 0.294 (0.170)	Loss 2.6858 (2.4947)	Prec@1 37.109 (39.179)	Prec@5 67.188 (69.193)
Epoch: [88][3600/7045]	Time 0.111 (0.236)	Data 0.059 (0.170)	Loss 2.3583 (2.4945)	Prec@1 41.406 (39.182)	Prec@5 73.438 (69.197)
Epoch: [88][3610/7045]	Time 0.306 (0.237)	Data 0.255 (0.170)	Loss 2.5241 (2.4945)	Prec@1 38.281 (39.187)	Prec@5 70.703 (69.198)
Epoch: [88][3620/7045]	Time 0.103 (0.236)	Data 0.050 (0.170)	Loss 2.6436 (2.4947)	Prec@1 35.547 (39.182)	Prec@5 63.281 (69.192)
Epoch: [88][3630/7045]	Time 0.297 (0.237)	Data 0.245 (0.170)	Loss 2.3989 (2.4949)	Prec@1 37.891 (39.178)	Prec@5 67.578 (69.188)
Epoch: [88][3640/7045]	Time 0.111 (0.236)	Data 0.058 (0.170)	Loss 2.5717 (2.4949)	Prec@1 37.891 (39.178)	Prec@5 68.359 (69.186)
Epoch: [88][3650/7045]	Time 0.287 (0.237)	Data 0.235 (0.170)	Loss 2.2699 (2.4948)	Prec@1 45.312 (39.179)	Prec@5 73.438 (69.185)
Epoch: [88][3660/7045]	Time 0.102 (0.236)	Data 0.050 (0.170)	Loss 2.5831 (2.4947)	Prec@1 35.547 (39.180)	Prec@5 67.578 (69.188)
Epoch: [88][3670/7045]	Time 0.274 (0.237)	Data 0.222 (0.170)	Loss 2.4461 (2.4946)	Prec@1 43.359 (39.181)	Prec@5 72.266 (69.188)
Epoch: [88][3680/7045]	Time 0.120 (0.236)	Data 0.068 (0.170)	Loss 2.6929 (2.4947)	Prec@1 33.984 (39.181)	Prec@5 67.188 (69.188)
Epoch: [88][3690/7045]	Time 0.242 (0.237)	Data 0.190 (0.170)	Loss 2.3398 (2.4946)	Prec@1 42.969 (39.181)	Prec@5 71.094 (69.190)
Epoch: [88][3700/7045]	Time 0.128 (0.236)	Data 0.076 (0.170)	Loss 2.4344 (2.4945)	Prec@1 38.672 (39.179)	Prec@5 69.531 (69.191)
Epoch: [88][3710/7045]	Time 0.251 (0.237)	Data 0.192 (0.170)	Loss 2.5654 (2.4946)	Prec@1 39.844 (39.176)	Prec@5 68.359 (69.187)
Epoch: [88][3720/7045]	Time 0.111 (0.236)	Data 0.060 (0.170)	Loss 2.4729 (2.4946)	Prec@1 40.234 (39.179)	Prec@5 69.141 (69.188)
Epoch: [88][3730/7045]	Time 0.204 (0.236)	Data 0.145 (0.170)	Loss 2.3180 (2.4945)	Prec@1 37.500 (39.180)	Prec@5 73.047 (69.187)
Epoch: [88][3740/7045]	Time 0.151 (0.236)	Data 0.098 (0.170)	Loss 2.4451 (2.4945)	Prec@1 39.844 (39.182)	Prec@5 68.750 (69.185)
Epoch: [88][3750/7045]	Time 0.151 (0.236)	Data 0.093 (0.170)	Loss 2.4824 (2.4947)	Prec@1 37.109 (39.181)	Prec@5 71.875 (69.182)
Epoch: [88][3760/7045]	Time 0.175 (0.236)	Data 0.122 (0.170)	Loss 2.4734 (2.4948)	Prec@1 40.625 (39.179)	Prec@5 69.922 (69.181)
Epoch: [88][3770/7045]	Time 0.118 (0.236)	Data 0.060 (0.170)	Loss 2.4444 (2.4947)	Prec@1 40.625 (39.183)	Prec@5 70.703 (69.182)
Epoch: [88][3780/7045]	Time 0.206 (0.236)	Data 0.155 (0.170)	Loss 2.3444 (2.4945)	Prec@1 41.016 (39.186)	Prec@5 70.312 (69.188)
Epoch: [88][3790/7045]	Time 0.110 (0.236)	Data 0.057 (0.170)	Loss 2.4758 (2.4945)	Prec@1 41.016 (39.190)	Prec@5 69.922 (69.188)
Epoch: [88][3800/7045]	Time 0.226 (0.236)	Data 0.174 (0.170)	Loss 2.7686 (2.4945)	Prec@1 37.109 (39.196)	Prec@5 66.016 (69.191)
Epoch: [88][3810/7045]	Time 0.103 (0.236)	Data 0.050 (0.170)	Loss 2.4326 (2.4946)	Prec@1 43.359 (39.195)	Prec@5 71.484 (69.190)
Epoch: [88][3820/7045]	Time 0.222 (0.236)	Data 0.170 (0.170)	Loss 2.5285 (2.4945)	Prec@1 42.188 (39.194)	Prec@5 69.922 (69.193)
Epoch: [88][3830/7045]	Time 0.108 (0.236)	Data 0.006 (0.170)	Loss 2.4362 (2.4945)	Prec@1 35.547 (39.192)	Prec@5 71.875 (69.196)
Epoch: [88][3840/7045]	Time 0.210 (0.236)	Data 0.159 (0.170)	Loss 2.3346 (2.4945)	Prec@1 42.578 (39.192)	Prec@5 71.094 (69.196)
Epoch: [88][3850/7045]	Time 0.102 (0.236)	Data 0.005 (0.170)	Loss 2.6039 (2.4946)	Prec@1 38.281 (39.188)	Prec@5 64.453 (69.194)
Epoch: [88][3860/7045]	Time 0.209 (0.236)	Data 0.157 (0.170)	Loss 2.5799 (2.4947)	Prec@1 37.109 (39.188)	Prec@5 67.188 (69.193)
Epoch: [88][3870/7045]	Time 0.108 (0.236)	Data 0.001 (0.170)	Loss 2.3925 (2.4948)	Prec@1 39.062 (39.185)	Prec@5 73.828 (69.191)
Epoch: [88][3880/7045]	Time 0.226 (0.236)	Data 0.174 (0.170)	Loss 2.5500 (2.4948)	Prec@1 35.547 (39.181)	Prec@5 68.359 (69.190)
Epoch: [88][3890/7045]	Time 0.102 (0.236)	Data 0.005 (0.170)	Loss 2.3791 (2.4946)	Prec@1 39.453 (39.186)	Prec@5 71.094 (69.195)
Epoch: [88][3900/7045]	Time 0.189 (0.236)	Data 0.137 (0.170)	Loss 2.3729 (2.4947)	Prec@1 41.406 (39.184)	Prec@5 71.094 (69.193)
Epoch: [88][3910/7045]	Time 0.109 (0.236)	Data 0.007 (0.170)	Loss 2.4610 (2.4946)	Prec@1 42.188 (39.186)	Prec@5 72.266 (69.193)
Epoch: [88][3920/7045]	Time 0.231 (0.236)	Data 0.178 (0.170)	Loss 2.6529 (2.4947)	Prec@1 36.328 (39.185)	Prec@5 67.188 (69.189)
Epoch: [88][3930/7045]	Time 0.109 (0.236)	Data 0.003 (0.170)	Loss 2.4467 (2.4946)	Prec@1 41.797 (39.189)	Prec@5 69.531 (69.190)
Epoch: [88][3940/7045]	Time 0.274 (0.236)	Data 0.222 (0.170)	Loss 2.4663 (2.4947)	Prec@1 39.844 (39.192)	Prec@5 65.625 (69.188)
Epoch: [88][3950/7045]	Time 0.103 (0.236)	Data 0.004 (0.170)	Loss 2.3824 (2.4946)	Prec@1 40.625 (39.194)	Prec@5 69.922 (69.189)
Epoch: [88][3960/7045]	Time 0.314 (0.236)	Data 0.261 (0.170)	Loss 2.4532 (2.4946)	Prec@1 41.016 (39.194)	Prec@5 69.531 (69.191)
Epoch: [88][3970/7045]	Time 0.108 (0.236)	Data 0.005 (0.170)	Loss 2.6170 (2.4949)	Prec@1 40.625 (39.190)	Prec@5 66.406 (69.187)
Epoch: [88][3980/7045]	Time 0.319 (0.236)	Data 0.267 (0.170)	Loss 2.6312 (2.4949)	Prec@1 36.328 (39.189)	Prec@5 63.281 (69.185)
Epoch: [88][3990/7045]	Time 0.110 (0.236)	Data 0.058 (0.170)	Loss 2.7769 (2.4950)	Prec@1 32.031 (39.188)	Prec@5 63.672 (69.182)
Epoch: [88][4000/7045]	Time 0.333 (0.236)	Data 0.282 (0.170)	Loss 2.4139 (2.4950)	Prec@1 44.531 (39.191)	Prec@5 67.969 (69.184)
Epoch: [88][4010/7045]	Time 0.137 (0.236)	Data 0.086 (0.170)	Loss 2.5513 (2.4950)	Prec@1 36.719 (39.192)	Prec@5 64.844 (69.181)
Epoch: [88][4020/7045]	Time 0.321 (0.236)	Data 0.269 (0.170)	Loss 2.3820 (2.4952)	Prec@1 39.062 (39.187)	Prec@5 70.703 (69.178)
Epoch: [88][4030/7045]	Time 0.175 (0.236)	Data 0.114 (0.170)	Loss 2.5649 (2.4952)	Prec@1 39.453 (39.186)	Prec@5 67.188 (69.175)
Epoch: [88][4040/7045]	Time 0.322 (0.236)	Data 0.270 (0.170)	Loss 2.4231 (2.4953)	Prec@1 40.625 (39.184)	Prec@5 69.531 (69.173)
Epoch: [88][4050/7045]	Time 0.224 (0.236)	Data 0.163 (0.170)	Loss 2.3072 (2.4953)	Prec@1 42.188 (39.186)	Prec@5 71.094 (69.171)
Epoch: [88][4060/7045]	Time 0.325 (0.236)	Data 0.273 (0.170)	Loss 2.3990 (2.4953)	Prec@1 42.578 (39.186)	Prec@5 72.656 (69.172)
Epoch: [88][4070/7045]	Time 0.225 (0.236)	Data 0.164 (0.170)	Loss 2.5487 (2.4953)	Prec@1 39.453 (39.187)	Prec@5 68.750 (69.172)
Epoch: [88][4080/7045]	Time 0.307 (0.236)	Data 0.256 (0.170)	Loss 2.4618 (2.4952)	Prec@1 39.844 (39.186)	Prec@5 70.312 (69.173)
Epoch: [88][4090/7045]	Time 0.238 (0.236)	Data 0.186 (0.170)	Loss 2.2510 (2.4950)	Prec@1 41.797 (39.191)	Prec@5 73.047 (69.177)
Epoch: [88][4100/7045]	Time 0.314 (0.236)	Data 0.263 (0.170)	Loss 2.5242 (2.4948)	Prec@1 35.156 (39.197)	Prec@5 70.703 (69.181)
Epoch: [88][4110/7045]	Time 0.304 (0.236)	Data 0.252 (0.170)	Loss 2.4185 (2.4949)	Prec@1 42.578 (39.194)	Prec@5 69.531 (69.180)
Epoch: [88][4120/7045]	Time 0.307 (0.236)	Data 0.255 (0.170)	Loss 2.5798 (2.4949)	Prec@1 39.453 (39.196)	Prec@5 71.094 (69.181)
Epoch: [88][4130/7045]	Time 0.327 (0.236)	Data 0.275 (0.170)	Loss 2.3848 (2.4950)	Prec@1 45.312 (39.195)	Prec@5 67.188 (69.180)
Epoch: [88][4140/7045]	Time 0.298 (0.236)	Data 0.247 (0.170)	Loss 2.5515 (2.4951)	Prec@1 32.031 (39.194)	Prec@5 67.188 (69.179)
Epoch: [88][4150/7045]	Time 0.314 (0.236)	Data 0.257 (0.170)	Loss 2.6707 (2.4950)	Prec@1 35.547 (39.197)	Prec@5 67.578 (69.181)
Epoch: [88][4160/7045]	Time 0.286 (0.236)	Data 0.234 (0.170)	Loss 2.5428 (2.4951)	Prec@1 38.672 (39.195)	Prec@5 66.797 (69.179)
Epoch: [88][4170/7045]	Time 0.316 (0.236)	Data 0.264 (0.170)	Loss 2.5115 (2.4952)	Prec@1 40.625 (39.193)	Prec@5 71.094 (69.177)
Epoch: [88][4180/7045]	Time 0.284 (0.236)	Data 0.233 (0.170)	Loss 2.3531 (2.4952)	Prec@1 42.578 (39.195)	Prec@5 69.922 (69.178)
Epoch: [88][4190/7045]	Time 0.364 (0.236)	Data 0.313 (0.170)	Loss 2.4727 (2.4951)	Prec@1 38.281 (39.194)	Prec@5 72.266 (69.182)
Epoch: [88][4200/7045]	Time 0.237 (0.236)	Data 0.185 (0.170)	Loss 2.4281 (2.4949)	Prec@1 46.094 (39.200)	Prec@5 74.219 (69.185)
Epoch: [88][4210/7045]	Time 0.371 (0.236)	Data 0.319 (0.170)	Loss 2.4579 (2.4950)	Prec@1 41.406 (39.198)	Prec@5 69.531 (69.184)
Epoch: [88][4220/7045]	Time 0.229 (0.236)	Data 0.178 (0.171)	Loss 2.4627 (2.4949)	Prec@1 39.062 (39.199)	Prec@5 71.094 (69.187)
Epoch: [88][4230/7045]	Time 0.381 (0.236)	Data 0.331 (0.171)	Loss 2.6125 (2.4949)	Prec@1 38.281 (39.200)	Prec@5 69.141 (69.188)
Epoch: [88][4240/7045]	Time 0.241 (0.236)	Data 0.189 (0.171)	Loss 2.4211 (2.4948)	Prec@1 43.359 (39.203)	Prec@5 72.656 (69.188)
Epoch: [88][4250/7045]	Time 0.419 (0.236)	Data 0.367 (0.171)	Loss 2.3028 (2.4948)	Prec@1 44.531 (39.203)	Prec@5 73.828 (69.188)
Epoch: [88][4260/7045]	Time 0.176 (0.236)	Data 0.125 (0.171)	Loss 2.3909 (2.4947)	Prec@1 41.016 (39.203)	Prec@5 71.484 (69.188)
Epoch: [88][4270/7045]	Time 0.428 (0.236)	Data 0.375 (0.171)	Loss 2.5489 (2.4946)	Prec@1 35.547 (39.204)	Prec@5 69.531 (69.188)
Epoch: [88][4280/7045]	Time 0.217 (0.236)	Data 0.165 (0.171)	Loss 2.2262 (2.4946)	Prec@1 43.750 (39.207)	Prec@5 73.047 (69.189)
Epoch: [88][4290/7045]	Time 0.419 (0.236)	Data 0.368 (0.171)	Loss 2.5006 (2.4947)	Prec@1 44.531 (39.206)	Prec@5 68.359 (69.189)
Epoch: [88][4300/7045]	Time 0.247 (0.236)	Data 0.189 (0.171)	Loss 2.6186 (2.4947)	Prec@1 38.672 (39.203)	Prec@5 68.750 (69.190)
Epoch: [88][4310/7045]	Time 0.391 (0.236)	Data 0.338 (0.171)	Loss 2.3251 (2.4945)	Prec@1 39.844 (39.205)	Prec@5 75.391 (69.193)
Epoch: [88][4320/7045]	Time 0.239 (0.236)	Data 0.182 (0.171)	Loss 2.3140 (2.4944)	Prec@1 41.406 (39.206)	Prec@5 70.703 (69.192)
Epoch: [88][4330/7045]	Time 0.406 (0.236)	Data 0.353 (0.171)	Loss 2.6505 (2.4945)	Prec@1 36.719 (39.202)	Prec@5 66.406 (69.190)
Epoch: [88][4340/7045]	Time 0.217 (0.236)	Data 0.160 (0.171)	Loss 2.5197 (2.4945)	Prec@1 42.969 (39.202)	Prec@5 68.750 (69.190)
Epoch: [88][4350/7045]	Time 0.412 (0.236)	Data 0.361 (0.171)	Loss 2.5130 (2.4946)	Prec@1 34.375 (39.199)	Prec@5 67.578 (69.191)
Epoch: [88][4360/7045]	Time 0.211 (0.236)	Data 0.160 (0.171)	Loss 2.6373 (2.4947)	Prec@1 35.547 (39.195)	Prec@5 69.141 (69.190)
Epoch: [88][4370/7045]	Time 0.403 (0.236)	Data 0.352 (0.171)	Loss 2.7254 (2.4947)	Prec@1 34.766 (39.192)	Prec@5 64.844 (69.189)
Epoch: [88][4380/7045]	Time 0.185 (0.236)	Data 0.133 (0.171)	Loss 2.5250 (2.4948)	Prec@1 40.234 (39.191)	Prec@5 69.531 (69.188)
Epoch: [88][4390/7045]	Time 0.424 (0.236)	Data 0.372 (0.171)	Loss 2.4920 (2.4948)	Prec@1 37.891 (39.190)	Prec@5 68.750 (69.187)
Epoch: [88][4400/7045]	Time 0.141 (0.236)	Data 0.088 (0.171)	Loss 2.6749 (2.4948)	Prec@1 37.109 (39.188)	Prec@5 68.750 (69.189)
Epoch: [88][4410/7045]	Time 0.349 (0.236)	Data 0.296 (0.171)	Loss 2.5780 (2.4948)	Prec@1 37.891 (39.187)	Prec@5 66.406 (69.192)
Epoch: [88][4420/7045]	Time 0.101 (0.236)	Data 0.002 (0.171)	Loss 2.4685 (2.4946)	Prec@1 40.234 (39.188)	Prec@5 67.969 (69.195)
Epoch: [88][4430/7045]	Time 0.355 (0.236)	Data 0.304 (0.171)	Loss 2.2650 (2.4947)	Prec@1 47.266 (39.188)	Prec@5 71.094 (69.194)
Epoch: [88][4440/7045]	Time 0.102 (0.236)	Data 0.003 (0.171)	Loss 2.5028 (2.4946)	Prec@1 41.797 (39.190)	Prec@5 67.188 (69.193)
Epoch: [88][4450/7045]	Time 0.375 (0.236)	Data 0.322 (0.171)	Loss 2.3123 (2.4946)	Prec@1 44.141 (39.193)	Prec@5 69.922 (69.195)
Epoch: [88][4460/7045]	Time 0.097 (0.236)	Data 0.001 (0.171)	Loss 2.3338 (2.4946)	Prec@1 41.797 (39.192)	Prec@5 73.047 (69.193)
Epoch: [88][4470/7045]	Time 0.403 (0.236)	Data 0.351 (0.171)	Loss 2.4063 (2.4944)	Prec@1 42.188 (39.196)	Prec@5 69.141 (69.197)
Epoch: [88][4480/7045]	Time 0.102 (0.236)	Data 0.005 (0.171)	Loss 2.5276 (2.4944)	Prec@1 36.328 (39.195)	Prec@5 68.750 (69.195)
Epoch: [88][4490/7045]	Time 0.420 (0.236)	Data 0.367 (0.171)	Loss 2.3897 (2.4945)	Prec@1 46.875 (39.195)	Prec@5 71.094 (69.194)
Epoch: [88][4500/7045]	Time 0.101 (0.236)	Data 0.005 (0.171)	Loss 2.5563 (2.4946)	Prec@1 35.547 (39.193)	Prec@5 67.188 (69.193)
Epoch: [88][4510/7045]	Time 0.427 (0.236)	Data 0.374 (0.171)	Loss 2.4929 (2.4946)	Prec@1 39.844 (39.193)	Prec@5 70.703 (69.191)
Epoch: [88][4520/7045]	Time 0.102 (0.236)	Data 0.006 (0.171)	Loss 2.4109 (2.4946)	Prec@1 39.062 (39.193)	Prec@5 69.922 (69.192)
Epoch: [88][4530/7045]	Time 0.480 (0.236)	Data 0.427 (0.171)	Loss 2.5144 (2.4945)	Prec@1 39.062 (39.194)	Prec@5 66.797 (69.192)
Epoch: [88][4540/7045]	Time 0.103 (0.236)	Data 0.006 (0.171)	Loss 2.4266 (2.4945)	Prec@1 42.578 (39.196)	Prec@5 70.312 (69.191)
Epoch: [88][4550/7045]	Time 0.469 (0.236)	Data 0.417 (0.171)	Loss 2.4133 (2.4946)	Prec@1 42.578 (39.200)	Prec@5 70.312 (69.190)
Epoch: [88][4560/7045]	Time 0.102 (0.236)	Data 0.001 (0.171)	Loss 2.6389 (2.4946)	Prec@1 36.719 (39.200)	Prec@5 67.188 (69.189)
Epoch: [88][4570/7045]	Time 0.464 (0.236)	Data 0.412 (0.171)	Loss 2.5378 (2.4944)	Prec@1 37.500 (39.203)	Prec@5 71.484 (69.192)
Epoch: [88][4580/7045]	Time 0.109 (0.236)	Data 0.007 (0.171)	Loss 2.5330 (2.4945)	Prec@1 38.672 (39.200)	Prec@5 69.922 (69.190)
Epoch: [88][4590/7045]	Time 0.479 (0.236)	Data 0.427 (0.171)	Loss 2.4280 (2.4947)	Prec@1 40.625 (39.197)	Prec@5 68.750 (69.186)
Epoch: [88][4600/7045]	Time 0.109 (0.236)	Data 0.004 (0.171)	Loss 2.3504 (2.4947)	Prec@1 40.625 (39.196)	Prec@5 74.219 (69.187)
Epoch: [88][4610/7045]	Time 0.493 (0.236)	Data 0.441 (0.171)	Loss 2.6757 (2.4947)	Prec@1 35.547 (39.195)	Prec@5 67.969 (69.187)
Epoch: [88][4620/7045]	Time 0.109 (0.236)	Data 0.001 (0.171)	Loss 2.3882 (2.4947)	Prec@1 39.062 (39.193)	Prec@5 69.922 (69.185)
Epoch: [88][4630/7045]	Time 0.504 (0.236)	Data 0.451 (0.171)	Loss 2.4459 (2.4948)	Prec@1 39.844 (39.191)	Prec@5 69.922 (69.183)
Epoch: [88][4640/7045]	Time 0.102 (0.236)	Data 0.003 (0.171)	Loss 2.4386 (2.4948)	Prec@1 40.625 (39.192)	Prec@5 70.312 (69.183)
Epoch: [88][4650/7045]	Time 0.454 (0.236)	Data 0.402 (0.171)	Loss 2.5427 (2.4949)	Prec@1 35.938 (39.192)	Prec@5 67.969 (69.182)
Epoch: [88][4660/7045]	Time 0.103 (0.236)	Data 0.001 (0.171)	Loss 2.6728 (2.4950)	Prec@1 38.672 (39.190)	Prec@5 65.234 (69.181)
Epoch: [88][4670/7045]	Time 0.480 (0.236)	Data 0.428 (0.171)	Loss 2.5137 (2.4950)	Prec@1 36.719 (39.192)	Prec@5 69.922 (69.181)
Epoch: [88][4680/7045]	Time 0.101 (0.236)	Data 0.005 (0.171)	Loss 2.5860 (2.4949)	Prec@1 39.453 (39.192)	Prec@5 68.359 (69.183)
Epoch: [88][4690/7045]	Time 0.479 (0.236)	Data 0.428 (0.171)	Loss 2.4381 (2.4950)	Prec@1 42.969 (39.189)	Prec@5 70.703 (69.181)
Epoch: [88][4700/7045]	Time 0.110 (0.236)	Data 0.001 (0.171)	Loss 2.4908 (2.4950)	Prec@1 37.500 (39.191)	Prec@5 72.266 (69.182)
Epoch: [88][4710/7045]	Time 0.476 (0.236)	Data 0.423 (0.171)	Loss 2.5001 (2.4949)	Prec@1 41.016 (39.193)	Prec@5 70.312 (69.182)
Epoch: [88][4720/7045]	Time 0.154 (0.236)	Data 0.099 (0.171)	Loss 2.5643 (2.4949)	Prec@1 35.938 (39.192)	Prec@5 67.969 (69.183)
Epoch: [88][4730/7045]	Time 0.475 (0.236)	Data 0.423 (0.171)	Loss 2.4550 (2.4950)	Prec@1 40.625 (39.191)	Prec@5 73.438 (69.183)
Epoch: [88][4740/7045]	Time 0.138 (0.236)	Data 0.086 (0.171)	Loss 2.5461 (2.4950)	Prec@1 39.062 (39.189)	Prec@5 68.359 (69.181)
Epoch: [88][4750/7045]	Time 0.458 (0.236)	Data 0.405 (0.171)	Loss 2.3665 (2.4950)	Prec@1 37.891 (39.190)	Prec@5 69.922 (69.182)
Epoch: [88][4760/7045]	Time 0.171 (0.236)	Data 0.119 (0.171)	Loss 2.5038 (2.4952)	Prec@1 39.844 (39.187)	Prec@5 68.359 (69.180)
Epoch: [88][4770/7045]	Time 0.460 (0.236)	Data 0.408 (0.171)	Loss 2.4373 (2.4952)	Prec@1 42.188 (39.187)	Prec@5 69.922 (69.179)
Epoch: [88][4780/7045]	Time 0.160 (0.236)	Data 0.108 (0.171)	Loss 2.4266 (2.4951)	Prec@1 36.328 (39.187)	Prec@5 70.703 (69.181)
Epoch: [88][4790/7045]	Time 0.423 (0.236)	Data 0.371 (0.171)	Loss 2.4488 (2.4950)	Prec@1 39.844 (39.189)	Prec@5 67.969 (69.183)
Epoch: [88][4800/7045]	Time 0.186 (0.236)	Data 0.134 (0.171)	Loss 2.3147 (2.4949)	Prec@1 43.359 (39.194)	Prec@5 73.438 (69.186)
Epoch: [88][4810/7045]	Time 0.462 (0.236)	Data 0.410 (0.171)	Loss 2.5417 (2.4950)	Prec@1 37.109 (39.194)	Prec@5 68.359 (69.183)
Epoch: [88][4820/7045]	Time 0.148 (0.236)	Data 0.096 (0.171)	Loss 2.5671 (2.4950)	Prec@1 36.719 (39.192)	Prec@5 67.969 (69.182)
Epoch: [88][4830/7045]	Time 0.567 (0.236)	Data 0.515 (0.171)	Loss 2.4245 (2.4950)	Prec@1 41.406 (39.193)	Prec@5 69.922 (69.183)
Epoch: [88][4840/7045]	Time 0.160 (0.236)	Data 0.108 (0.171)	Loss 2.4510 (2.4950)	Prec@1 41.016 (39.194)	Prec@5 72.656 (69.186)
Epoch: [88][4850/7045]	Time 0.522 (0.236)	Data 0.471 (0.171)	Loss 2.5460 (2.4949)	Prec@1 39.453 (39.194)	Prec@5 67.578 (69.188)
Epoch: [88][4860/7045]	Time 0.225 (0.236)	Data 0.167 (0.171)	Loss 2.3576 (2.4950)	Prec@1 41.797 (39.195)	Prec@5 75.000 (69.188)
Epoch: [88][4870/7045]	Time 0.510 (0.236)	Data 0.459 (0.171)	Loss 2.5673 (2.4949)	Prec@1 40.234 (39.197)	Prec@5 66.406 (69.188)
Epoch: [88][4880/7045]	Time 0.261 (0.236)	Data 0.210 (0.171)	Loss 2.5627 (2.4950)	Prec@1 38.672 (39.196)	Prec@5 64.453 (69.185)
Epoch: [88][4890/7045]	Time 0.482 (0.236)	Data 0.431 (0.171)	Loss 2.4319 (2.4950)	Prec@1 41.797 (39.193)	Prec@5 64.453 (69.182)
Epoch: [88][4900/7045]	Time 0.229 (0.236)	Data 0.172 (0.171)	Loss 2.4569 (2.4949)	Prec@1 38.281 (39.195)	Prec@5 65.234 (69.183)
Epoch: [88][4910/7045]	Time 0.481 (0.236)	Data 0.430 (0.171)	Loss 2.5351 (2.4949)	Prec@1 38.672 (39.196)	Prec@5 68.750 (69.182)
Epoch: [88][4920/7045]	Time 0.268 (0.236)	Data 0.210 (0.171)	Loss 2.4071 (2.4948)	Prec@1 40.625 (39.199)	Prec@5 71.875 (69.185)
Epoch: [88][4930/7045]	Time 0.436 (0.236)	Data 0.378 (0.171)	Loss 2.7476 (2.4949)	Prec@1 36.719 (39.200)	Prec@5 63.281 (69.182)
Epoch: [88][4940/7045]	Time 0.291 (0.236)	Data 0.238 (0.171)	Loss 2.6153 (2.4950)	Prec@1 36.719 (39.199)	Prec@5 66.016 (69.180)
Epoch: [88][4950/7045]	Time 0.458 (0.236)	Data 0.398 (0.171)	Loss 2.4507 (2.4950)	Prec@1 40.625 (39.198)	Prec@5 69.531 (69.179)
Epoch: [88][4960/7045]	Time 0.294 (0.236)	Data 0.234 (0.171)	Loss 2.4235 (2.4951)	Prec@1 42.188 (39.200)	Prec@5 69.922 (69.180)
Epoch: [88][4970/7045]	Time 0.415 (0.236)	Data 0.357 (0.171)	Loss 2.4215 (2.4951)	Prec@1 42.188 (39.200)	Prec@5 71.484 (69.178)
Epoch: [88][4980/7045]	Time 0.302 (0.236)	Data 0.244 (0.171)	Loss 2.3048 (2.4951)	Prec@1 48.438 (39.202)	Prec@5 71.484 (69.177)
Epoch: [88][4990/7045]	Time 0.383 (0.236)	Data 0.331 (0.171)	Loss 2.5649 (2.4952)	Prec@1 38.281 (39.200)	Prec@5 71.094 (69.175)
Epoch: [88][5000/7045]	Time 0.227 (0.236)	Data 0.169 (0.171)	Loss 2.6361 (2.4953)	Prec@1 31.641 (39.197)	Prec@5 64.453 (69.175)
Epoch: [88][5010/7045]	Time 0.363 (0.236)	Data 0.311 (0.171)	Loss 2.4144 (2.4952)	Prec@1 39.844 (39.198)	Prec@5 71.875 (69.176)
Epoch: [88][5020/7045]	Time 0.230 (0.236)	Data 0.178 (0.171)	Loss 2.5059 (2.4951)	Prec@1 35.938 (39.200)	Prec@5 66.797 (69.177)
Epoch: [88][5030/7045]	Time 0.317 (0.236)	Data 0.266 (0.171)	Loss 2.4692 (2.4952)	Prec@1 40.234 (39.200)	Prec@5 69.922 (69.179)
Epoch: [88][5040/7045]	Time 0.308 (0.236)	Data 0.256 (0.171)	Loss 2.4411 (2.4952)	Prec@1 41.797 (39.201)	Prec@5 67.969 (69.179)
Epoch: [88][5050/7045]	Time 0.275 (0.236)	Data 0.223 (0.171)	Loss 2.6085 (2.4951)	Prec@1 36.719 (39.201)	Prec@5 69.141 (69.180)
Epoch: [88][5060/7045]	Time 0.246 (0.236)	Data 0.194 (0.171)	Loss 2.3533 (2.4950)	Prec@1 41.406 (39.202)	Prec@5 73.828 (69.181)
Epoch: [88][5070/7045]	Time 0.283 (0.236)	Data 0.231 (0.171)	Loss 2.2672 (2.4950)	Prec@1 43.750 (39.203)	Prec@5 73.438 (69.183)
Epoch: [88][5080/7045]	Time 0.255 (0.236)	Data 0.204 (0.171)	Loss 2.5217 (2.4951)	Prec@1 38.672 (39.201)	Prec@5 67.969 (69.184)
Epoch: [88][5090/7045]	Time 0.264 (0.236)	Data 0.211 (0.171)	Loss 2.6259 (2.4952)	Prec@1 41.406 (39.202)	Prec@5 67.188 (69.183)
Epoch: [88][5100/7045]	Time 0.229 (0.236)	Data 0.176 (0.171)	Loss 2.6894 (2.4952)	Prec@1 36.328 (39.202)	Prec@5 63.281 (69.181)
Epoch: [88][5110/7045]	Time 0.256 (0.236)	Data 0.203 (0.171)	Loss 2.5046 (2.4952)	Prec@1 38.672 (39.201)	Prec@5 71.875 (69.179)
Epoch: [88][5120/7045]	Time 0.241 (0.236)	Data 0.189 (0.171)	Loss 2.4864 (2.4952)	Prec@1 41.016 (39.199)	Prec@5 67.969 (69.177)
Epoch: [88][5130/7045]	Time 0.195 (0.236)	Data 0.143 (0.171)	Loss 2.5110 (2.4952)	Prec@1 39.453 (39.201)	Prec@5 67.188 (69.175)
Epoch: [88][5140/7045]	Time 0.278 (0.236)	Data 0.222 (0.171)	Loss 2.5915 (2.4953)	Prec@1 40.234 (39.199)	Prec@5 67.969 (69.175)
Epoch: [88][5150/7045]	Time 0.197 (0.236)	Data 0.145 (0.171)	Loss 2.6962 (2.4954)	Prec@1 37.891 (39.198)	Prec@5 64.453 (69.173)
Epoch: [88][5160/7045]	Time 0.241 (0.236)	Data 0.190 (0.171)	Loss 2.6548 (2.4955)	Prec@1 34.375 (39.197)	Prec@5 67.578 (69.169)
Epoch: [88][5170/7045]	Time 0.196 (0.236)	Data 0.144 (0.171)	Loss 2.4712 (2.4954)	Prec@1 41.016 (39.199)	Prec@5 69.531 (69.170)
Epoch: [88][5180/7045]	Time 0.255 (0.236)	Data 0.203 (0.171)	Loss 2.3113 (2.4954)	Prec@1 43.359 (39.200)	Prec@5 75.781 (69.171)
Epoch: [88][5190/7045]	Time 0.169 (0.236)	Data 0.116 (0.171)	Loss 2.5885 (2.4954)	Prec@1 38.281 (39.199)	Prec@5 70.703 (69.171)
Epoch: [88][5200/7045]	Time 0.265 (0.236)	Data 0.206 (0.171)	Loss 2.5133 (2.4956)	Prec@1 39.062 (39.197)	Prec@5 70.703 (69.167)
Epoch: [88][5210/7045]	Time 0.158 (0.236)	Data 0.106 (0.171)	Loss 2.3183 (2.4956)	Prec@1 42.969 (39.198)	Prec@5 73.438 (69.167)
Epoch: [88][5220/7045]	Time 0.235 (0.236)	Data 0.177 (0.171)	Loss 2.4128 (2.4957)	Prec@1 43.359 (39.196)	Prec@5 70.703 (69.166)
Epoch: [88][5230/7045]	Time 0.130 (0.236)	Data 0.079 (0.171)	Loss 2.5805 (2.4958)	Prec@1 39.844 (39.194)	Prec@5 67.188 (69.163)
Epoch: [88][5240/7045]	Time 0.184 (0.236)	Data 0.128 (0.171)	Loss 2.5319 (2.4957)	Prec@1 37.891 (39.196)	Prec@5 69.531 (69.166)
Epoch: [88][5250/7045]	Time 0.111 (0.236)	Data 0.059 (0.171)	Loss 2.4172 (2.4958)	Prec@1 41.406 (39.195)	Prec@5 71.875 (69.163)
Epoch: [88][5260/7045]	Time 0.164 (0.236)	Data 0.107 (0.171)	Loss 2.2508 (2.4956)	Prec@1 42.578 (39.200)	Prec@5 76.172 (69.167)
Epoch: [88][5270/7045]	Time 0.110 (0.236)	Data 0.058 (0.171)	Loss 2.5397 (2.4956)	Prec@1 36.719 (39.199)	Prec@5 67.578 (69.168)
Epoch: [88][5280/7045]	Time 0.184 (0.236)	Data 0.125 (0.171)	Loss 2.4637 (2.4956)	Prec@1 40.234 (39.199)	Prec@5 69.531 (69.167)
Epoch: [88][5290/7045]	Time 0.110 (0.236)	Data 0.057 (0.171)	Loss 2.5774 (2.4957)	Prec@1 37.500 (39.199)	Prec@5 66.016 (69.167)
Epoch: [88][5300/7045]	Time 0.178 (0.236)	Data 0.118 (0.171)	Loss 2.4448 (2.4956)	Prec@1 36.719 (39.200)	Prec@5 69.531 (69.166)
Epoch: [88][5310/7045]	Time 0.102 (0.236)	Data 0.005 (0.171)	Loss 2.3542 (2.4957)	Prec@1 41.016 (39.200)	Prec@5 69.922 (69.162)
Epoch: [88][5320/7045]	Time 0.185 (0.236)	Data 0.133 (0.171)	Loss 2.3547 (2.4957)	Prec@1 39.844 (39.202)	Prec@5 72.656 (69.162)
Epoch: [88][5330/7045]	Time 0.110 (0.236)	Data 0.059 (0.171)	Loss 2.4541 (2.4957)	Prec@1 40.625 (39.203)	Prec@5 69.141 (69.163)
Epoch: [88][5340/7045]	Time 0.174 (0.236)	Data 0.123 (0.171)	Loss 2.6042 (2.4958)	Prec@1 41.797 (39.203)	Prec@5 66.406 (69.164)
Epoch: [88][5350/7045]	Time 0.103 (0.236)	Data 0.001 (0.171)	Loss 2.4167 (2.4959)	Prec@1 44.922 (39.200)	Prec@5 68.750 (69.163)
Epoch: [88][5360/7045]	Time 0.143 (0.236)	Data 0.091 (0.171)	Loss 2.6774 (2.4960)	Prec@1 36.328 (39.198)	Prec@5 66.797 (69.161)
Epoch: [88][5370/7045]	Time 0.102 (0.236)	Data 0.001 (0.171)	Loss 2.2923 (2.4961)	Prec@1 43.750 (39.198)	Prec@5 73.438 (69.161)
Epoch: [88][5380/7045]	Time 0.109 (0.236)	Data 0.057 (0.171)	Loss 2.3535 (2.4960)	Prec@1 43.750 (39.198)	Prec@5 71.484 (69.163)
Epoch: [88][5390/7045]	Time 0.102 (0.236)	Data 0.001 (0.171)	Loss 2.6331 (2.4961)	Prec@1 34.375 (39.197)	Prec@5 65.234 (69.162)
Epoch: [88][5400/7045]	Time 0.107 (0.236)	Data 0.054 (0.171)	Loss 2.6401 (2.4959)	Prec@1 37.109 (39.200)	Prec@5 65.625 (69.165)
Epoch: [88][5410/7045]	Time 0.103 (0.236)	Data 0.001 (0.171)	Loss 2.8427 (2.4960)	Prec@1 29.688 (39.200)	Prec@5 65.625 (69.163)
Epoch: [88][5420/7045]	Time 0.109 (0.236)	Data 0.005 (0.171)	Loss 2.5122 (2.4961)	Prec@1 39.062 (39.197)	Prec@5 67.969 (69.165)
Epoch: [88][5430/7045]	Time 0.104 (0.236)	Data 0.001 (0.171)	Loss 2.4056 (2.4960)	Prec@1 39.844 (39.199)	Prec@5 72.266 (69.162)
Epoch: [88][5440/7045]	Time 0.109 (0.236)	Data 0.003 (0.171)	Loss 2.6960 (2.4960)	Prec@1 41.797 (39.202)	Prec@5 65.234 (69.161)
Epoch: [88][5450/7045]	Time 0.103 (0.236)	Data 0.001 (0.171)	Loss 2.4198 (2.4961)	Prec@1 36.719 (39.200)	Prec@5 68.750 (69.157)
Epoch: [88][5460/7045]	Time 0.108 (0.236)	Data 0.002 (0.171)	Loss 2.3225 (2.4960)	Prec@1 44.531 (39.203)	Prec@5 71.875 (69.156)
Epoch: [88][5470/7045]	Time 0.102 (0.236)	Data 0.001 (0.171)	Loss 2.5509 (2.4961)	Prec@1 35.547 (39.201)	Prec@5 69.922 (69.156)
Epoch: [88][5480/7045]	Time 0.114 (0.236)	Data 0.062 (0.171)	Loss 2.6733 (2.4960)	Prec@1 37.500 (39.204)	Prec@5 67.188 (69.157)
Epoch: [88][5490/7045]	Time 0.101 (0.236)	Data 0.001 (0.171)	Loss 2.6405 (2.4962)	Prec@1 33.594 (39.202)	Prec@5 65.234 (69.155)
Epoch: [88][5500/7045]	Time 0.109 (0.236)	Data 0.002 (0.171)	Loss 2.2474 (2.4962)	Prec@1 44.922 (39.200)	Prec@5 76.172 (69.153)
Epoch: [88][5510/7045]	Time 0.102 (0.236)	Data 0.001 (0.171)	Loss 2.5674 (2.4963)	Prec@1 37.109 (39.198)	Prec@5 71.875 (69.151)
Epoch: [88][5520/7045]	Time 0.109 (0.236)	Data 0.006 (0.171)	Loss 2.6741 (2.4965)	Prec@1 37.891 (39.195)	Prec@5 64.453 (69.147)
Epoch: [88][5530/7045]	Time 0.102 (0.236)	Data 0.001 (0.171)	Loss 2.4798 (2.4964)	Prec@1 38.281 (39.196)	Prec@5 70.312 (69.150)
Epoch: [88][5540/7045]	Time 0.107 (0.236)	Data 0.006 (0.171)	Loss 2.5872 (2.4966)	Prec@1 36.328 (39.195)	Prec@5 66.406 (69.148)
Epoch: [88][5550/7045]	Time 0.102 (0.236)	Data 0.001 (0.171)	Loss 2.4690 (2.4966)	Prec@1 42.969 (39.195)	Prec@5 68.750 (69.147)
Epoch: [88][5560/7045]	Time 0.109 (0.236)	Data 0.006 (0.171)	Loss 2.4415 (2.4965)	Prec@1 36.719 (39.194)	Prec@5 69.922 (69.148)
Epoch: [88][5570/7045]	Time 0.102 (0.236)	Data 0.001 (0.171)	Loss 2.6163 (2.4966)	Prec@1 36.328 (39.191)	Prec@5 66.406 (69.145)
Epoch: [88][5580/7045]	Time 0.105 (0.236)	Data 0.052 (0.171)	Loss 2.2399 (2.4965)	Prec@1 44.922 (39.196)	Prec@5 74.219 (69.148)
Epoch: [88][5590/7045]	Time 0.103 (0.236)	Data 0.001 (0.170)	Loss 2.4354 (2.4965)	Prec@1 37.500 (39.194)	Prec@5 72.266 (69.150)
Epoch: [88][5600/7045]	Time 0.137 (0.236)	Data 0.085 (0.170)	Loss 2.5469 (2.4965)	Prec@1 37.109 (39.195)	Prec@5 67.969 (69.150)
Epoch: [88][5610/7045]	Time 0.102 (0.236)	Data 0.001 (0.170)	Loss 2.4246 (2.4964)	Prec@1 41.016 (39.196)	Prec@5 70.703 (69.153)
Epoch: [88][5620/7045]	Time 0.224 (0.236)	Data 0.167 (0.170)	Loss 2.6902 (2.4964)	Prec@1 33.984 (39.196)	Prec@5 64.844 (69.152)
Epoch: [88][5630/7045]	Time 0.102 (0.236)	Data 0.001 (0.170)	Loss 2.4001 (2.4962)	Prec@1 40.625 (39.200)	Prec@5 70.312 (69.155)
Epoch: [88][5640/7045]	Time 0.226 (0.236)	Data 0.170 (0.170)	Loss 2.4445 (2.4963)	Prec@1 35.938 (39.200)	Prec@5 71.484 (69.154)
Epoch: [88][5650/7045]	Time 0.102 (0.236)	Data 0.001 (0.170)	Loss 2.4105 (2.4963)	Prec@1 44.531 (39.201)	Prec@5 68.750 (69.154)
Epoch: [88][5660/7045]	Time 0.254 (0.236)	Data 0.203 (0.170)	Loss 2.5559 (2.4963)	Prec@1 35.547 (39.200)	Prec@5 68.359 (69.154)
Epoch: [88][5670/7045]	Time 0.102 (0.236)	Data 0.002 (0.170)	Loss 2.5457 (2.4963)	Prec@1 39.453 (39.199)	Prec@5 67.188 (69.153)
Epoch: [88][5680/7045]	Time 0.293 (0.236)	Data 0.235 (0.170)	Loss 2.4888 (2.4964)	Prec@1 40.625 (39.198)	Prec@5 69.922 (69.152)
Epoch: [88][5690/7045]	Time 0.103 (0.236)	Data 0.006 (0.170)	Loss 2.6220 (2.4964)	Prec@1 35.547 (39.198)	Prec@5 67.578 (69.152)
Epoch: [88][5700/7045]	Time 0.273 (0.236)	Data 0.220 (0.170)	Loss 2.5099 (2.4964)	Prec@1 36.719 (39.195)	Prec@5 69.141 (69.150)
Epoch: [88][5710/7045]	Time 0.101 (0.236)	Data 0.005 (0.170)	Loss 2.4871 (2.4964)	Prec@1 41.797 (39.197)	Prec@5 70.703 (69.150)
Epoch: [88][5720/7045]	Time 0.279 (0.236)	Data 0.226 (0.170)	Loss 2.3972 (2.4963)	Prec@1 34.375 (39.197)	Prec@5 70.703 (69.151)
Epoch: [88][5730/7045]	Time 0.102 (0.236)	Data 0.004 (0.170)	Loss 2.6181 (2.4965)	Prec@1 35.547 (39.193)	Prec@5 63.281 (69.148)
Epoch: [88][5740/7045]	Time 0.300 (0.236)	Data 0.247 (0.170)	Loss 2.3651 (2.4964)	Prec@1 42.969 (39.193)	Prec@5 72.266 (69.149)
Epoch: [88][5750/7045]	Time 0.103 (0.236)	Data 0.004 (0.170)	Loss 2.4508 (2.4964)	Prec@1 39.453 (39.193)	Prec@5 68.359 (69.149)
Epoch: [88][5760/7045]	Time 0.319 (0.236)	Data 0.267 (0.170)	Loss 2.5111 (2.4964)	Prec@1 38.672 (39.194)	Prec@5 67.969 (69.149)
Epoch: [88][5770/7045]	Time 0.104 (0.236)	Data 0.051 (0.170)	Loss 2.2853 (2.4963)	Prec@1 41.797 (39.196)	Prec@5 75.000 (69.152)
Epoch: [88][5780/7045]	Time 0.320 (0.236)	Data 0.267 (0.170)	Loss 2.6419 (2.4963)	Prec@1 38.672 (39.195)	Prec@5 66.016 (69.152)
Epoch: [88][5790/7045]	Time 0.102 (0.236)	Data 0.001 (0.170)	Loss 2.5619 (2.4964)	Prec@1 41.797 (39.195)	Prec@5 65.234 (69.151)
Epoch: [88][5800/7045]	Time 0.238 (0.236)	Data 0.186 (0.170)	Loss 2.5474 (2.4964)	Prec@1 39.844 (39.193)	Prec@5 67.188 (69.149)
Epoch: [88][5810/7045]	Time 0.102 (0.236)	Data 0.001 (0.170)	Loss 2.4842 (2.4964)	Prec@1 41.406 (39.193)	Prec@5 71.875 (69.149)
Epoch: [88][5820/7045]	Time 0.273 (0.236)	Data 0.220 (0.170)	Loss 2.5707 (2.4965)	Prec@1 39.062 (39.192)	Prec@5 69.141 (69.145)
Epoch: [88][5830/7045]	Time 0.103 (0.236)	Data 0.001 (0.170)	Loss 2.4363 (2.4964)	Prec@1 39.844 (39.195)	Prec@5 67.188 (69.146)
Epoch: [88][5840/7045]	Time 0.308 (0.236)	Data 0.255 (0.170)	Loss 2.5364 (2.4964)	Prec@1 38.672 (39.192)	Prec@5 66.406 (69.144)
Epoch: [88][5850/7045]	Time 0.103 (0.236)	Data 0.003 (0.170)	Loss 2.5158 (2.4965)	Prec@1 38.281 (39.193)	Prec@5 74.219 (69.145)
Epoch: [88][5860/7045]	Time 0.312 (0.236)	Data 0.259 (0.170)	Loss 2.5830 (2.4965)	Prec@1 39.844 (39.191)	Prec@5 65.625 (69.143)
Epoch: [88][5870/7045]	Time 0.102 (0.236)	Data 0.004 (0.170)	Loss 2.2807 (2.4964)	Prec@1 42.578 (39.190)	Prec@5 75.781 (69.145)
Epoch: [88][5880/7045]	Time 0.301 (0.236)	Data 0.249 (0.170)	Loss 2.3259 (2.4963)	Prec@1 42.188 (39.189)	Prec@5 73.828 (69.146)
Epoch: [88][5890/7045]	Time 0.102 (0.236)	Data 0.006 (0.170)	Loss 2.6115 (2.4964)	Prec@1 32.812 (39.187)	Prec@5 67.578 (69.145)
Epoch: [88][5900/7045]	Time 0.259 (0.236)	Data 0.206 (0.170)	Loss 2.4403 (2.4964)	Prec@1 41.016 (39.187)	Prec@5 71.875 (69.145)
Epoch: [88][5910/7045]	Time 0.108 (0.236)	Data 0.056 (0.170)	Loss 2.4509 (2.4964)	Prec@1 36.719 (39.188)	Prec@5 73.047 (69.146)
Epoch: [88][5920/7045]	Time 0.289 (0.236)	Data 0.237 (0.171)	Loss 2.7147 (2.4964)	Prec@1 33.203 (39.187)	Prec@5 67.188 (69.148)
Epoch: [88][5930/7045]	Time 0.106 (0.236)	Data 0.053 (0.171)	Loss 2.6879 (2.4964)	Prec@1 33.984 (39.187)	Prec@5 64.062 (69.148)
Epoch: [88][5940/7045]	Time 0.322 (0.236)	Data 0.270 (0.171)	Loss 2.1498 (2.4963)	Prec@1 47.656 (39.190)	Prec@5 76.172 (69.149)
Epoch: [88][5950/7045]	Time 0.105 (0.236)	Data 0.052 (0.171)	Loss 2.5382 (2.4962)	Prec@1 39.062 (39.194)	Prec@5 68.359 (69.148)
Epoch: [88][5960/7045]	Time 0.326 (0.236)	Data 0.273 (0.171)	Loss 2.6465 (2.4963)	Prec@1 35.938 (39.194)	Prec@5 66.797 (69.147)
Epoch: [88][5970/7045]	Time 0.134 (0.236)	Data 0.081 (0.171)	Loss 2.3974 (2.4962)	Prec@1 35.156 (39.195)	Prec@5 69.531 (69.149)
Epoch: [88][5980/7045]	Time 0.338 (0.236)	Data 0.285 (0.171)	Loss 2.1984 (2.4962)	Prec@1 46.484 (39.196)	Prec@5 73.828 (69.149)
Epoch: [88][5990/7045]	Time 0.110 (0.236)	Data 0.057 (0.171)	Loss 2.3107 (2.4961)	Prec@1 40.625 (39.196)	Prec@5 74.219 (69.151)
Epoch: [88][6000/7045]	Time 0.358 (0.236)	Data 0.305 (0.171)	Loss 2.5411 (2.4962)	Prec@1 39.453 (39.195)	Prec@5 72.656 (69.151)
Epoch: [88][6010/7045]	Time 0.119 (0.236)	Data 0.066 (0.171)	Loss 2.4529 (2.4962)	Prec@1 40.234 (39.193)	Prec@5 67.969 (69.150)
Epoch: [88][6020/7045]	Time 0.386 (0.236)	Data 0.334 (0.171)	Loss 2.3294 (2.4962)	Prec@1 41.016 (39.192)	Prec@5 71.094 (69.148)
Epoch: [88][6030/7045]	Time 0.186 (0.236)	Data 0.134 (0.171)	Loss 2.6680 (2.4963)	Prec@1 37.891 (39.190)	Prec@5 68.359 (69.146)
Epoch: [88][6040/7045]	Time 0.349 (0.236)	Data 0.298 (0.171)	Loss 2.4827 (2.4964)	Prec@1 38.672 (39.188)	Prec@5 69.141 (69.144)
Epoch: [88][6050/7045]	Time 0.168 (0.236)	Data 0.116 (0.171)	Loss 2.1384 (2.4964)	Prec@1 43.750 (39.188)	Prec@5 74.609 (69.145)
Epoch: [88][6060/7045]	Time 0.340 (0.236)	Data 0.289 (0.171)	Loss 2.3571 (2.4964)	Prec@1 43.359 (39.187)	Prec@5 71.484 (69.144)
Epoch: [88][6070/7045]	Time 0.206 (0.236)	Data 0.154 (0.171)	Loss 2.3626 (2.4964)	Prec@1 40.234 (39.187)	Prec@5 73.047 (69.144)
Epoch: [88][6080/7045]	Time 0.339 (0.236)	Data 0.287 (0.171)	Loss 2.3128 (2.4963)	Prec@1 39.062 (39.187)	Prec@5 74.609 (69.145)
Epoch: [88][6090/7045]	Time 0.183 (0.236)	Data 0.130 (0.171)	Loss 2.6462 (2.4964)	Prec@1 36.719 (39.186)	Prec@5 66.406 (69.145)
Epoch: [88][6100/7045]	Time 0.371 (0.236)	Data 0.320 (0.171)	Loss 2.6024 (2.4965)	Prec@1 30.859 (39.184)	Prec@5 67.969 (69.142)
Epoch: [88][6110/7045]	Time 0.169 (0.236)	Data 0.117 (0.171)	Loss 2.5087 (2.4964)	Prec@1 37.109 (39.185)	Prec@5 68.750 (69.144)
Epoch: [88][6120/7045]	Time 0.359 (0.236)	Data 0.307 (0.171)	Loss 2.7473 (2.4964)	Prec@1 35.547 (39.185)	Prec@5 62.109 (69.146)
Epoch: [88][6130/7045]	Time 0.146 (0.236)	Data 0.095 (0.171)	Loss 2.5573 (2.4964)	Prec@1 39.062 (39.185)	Prec@5 65.234 (69.145)
Epoch: [88][6140/7045]	Time 0.359 (0.236)	Data 0.308 (0.171)	Loss 2.3822 (2.4964)	Prec@1 41.016 (39.186)	Prec@5 71.484 (69.144)
Epoch: [88][6150/7045]	Time 0.133 (0.236)	Data 0.081 (0.171)	Loss 2.3305 (2.4965)	Prec@1 41.016 (39.185)	Prec@5 70.312 (69.142)
Epoch: [88][6160/7045]	Time 0.337 (0.236)	Data 0.285 (0.171)	Loss 2.6112 (2.4965)	Prec@1 41.797 (39.186)	Prec@5 68.359 (69.140)
Epoch: [88][6170/7045]	Time 0.148 (0.236)	Data 0.090 (0.171)	Loss 2.4044 (2.4966)	Prec@1 45.703 (39.184)	Prec@5 71.484 (69.138)
Epoch: [88][6180/7045]	Time 0.377 (0.236)	Data 0.325 (0.171)	Loss 2.5323 (2.4966)	Prec@1 39.844 (39.186)	Prec@5 69.531 (69.138)
Epoch: [88][6190/7045]	Time 0.149 (0.236)	Data 0.087 (0.171)	Loss 2.5313 (2.4966)	Prec@1 37.500 (39.186)	Prec@5 70.312 (69.138)
Epoch: [88][6200/7045]	Time 0.370 (0.236)	Data 0.317 (0.171)	Loss 2.6249 (2.4966)	Prec@1 36.328 (39.186)	Prec@5 68.750 (69.139)
Epoch: [88][6210/7045]	Time 0.250 (0.236)	Data 0.197 (0.171)	Loss 2.5130 (2.4967)	Prec@1 39.453 (39.186)	Prec@5 69.922 (69.138)
Epoch: [88][6220/7045]	Time 0.274 (0.236)	Data 0.222 (0.171)	Loss 2.6400 (2.4967)	Prec@1 35.547 (39.186)	Prec@5 66.016 (69.137)
Epoch: [88][6230/7045]	Time 0.251 (0.236)	Data 0.200 (0.171)	Loss 2.4579 (2.4968)	Prec@1 41.016 (39.185)	Prec@5 72.656 (69.137)
Epoch: [88][6240/7045]	Time 0.241 (0.236)	Data 0.190 (0.171)	Loss 2.3990 (2.4967)	Prec@1 41.406 (39.187)	Prec@5 69.141 (69.139)
Epoch: [88][6250/7045]	Time 0.239 (0.236)	Data 0.187 (0.171)	Loss 2.5804 (2.4968)	Prec@1 39.062 (39.186)	Prec@5 67.188 (69.136)
Epoch: [88][6260/7045]	Time 0.271 (0.236)	Data 0.219 (0.171)	Loss 2.3927 (2.4965)	Prec@1 41.016 (39.189)	Prec@5 70.312 (69.141)
Epoch: [88][6270/7045]	Time 0.238 (0.236)	Data 0.186 (0.171)	Loss 2.4307 (2.4965)	Prec@1 41.016 (39.189)	Prec@5 73.438 (69.141)
Epoch: [88][6280/7045]	Time 0.277 (0.236)	Data 0.224 (0.171)	Loss 2.4313 (2.4965)	Prec@1 41.016 (39.190)	Prec@5 70.312 (69.143)
Epoch: [88][6290/7045]	Time 0.253 (0.236)	Data 0.201 (0.171)	Loss 2.4568 (2.4964)	Prec@1 37.500 (39.190)	Prec@5 69.531 (69.144)
Epoch: [88][6300/7045]	Time 0.220 (0.236)	Data 0.169 (0.171)	Loss 2.4686 (2.4964)	Prec@1 39.062 (39.191)	Prec@5 72.656 (69.142)
Epoch: [88][6310/7045]	Time 0.268 (0.236)	Data 0.210 (0.171)	Loss 2.5574 (2.4964)	Prec@1 36.328 (39.190)	Prec@5 67.188 (69.142)
Epoch: [88][6320/7045]	Time 0.240 (0.236)	Data 0.188 (0.171)	Loss 2.3155 (2.4964)	Prec@1 42.969 (39.191)	Prec@5 71.875 (69.143)
Epoch: [88][6330/7045]	Time 0.253 (0.236)	Data 0.195 (0.171)	Loss 2.2621 (2.4964)	Prec@1 46.094 (39.191)	Prec@5 74.609 (69.142)
Epoch: [88][6340/7045]	Time 0.253 (0.236)	Data 0.201 (0.171)	Loss 2.4476 (2.4965)	Prec@1 39.844 (39.191)	Prec@5 67.969 (69.141)
Epoch: [88][6350/7045]	Time 0.241 (0.236)	Data 0.184 (0.171)	Loss 2.3836 (2.4964)	Prec@1 39.453 (39.191)	Prec@5 73.828 (69.141)
Epoch: [88][6360/7045]	Time 0.242 (0.236)	Data 0.190 (0.171)	Loss 2.3044 (2.4964)	Prec@1 41.406 (39.192)	Prec@5 71.094 (69.141)
Epoch: [88][6370/7045]	Time 0.216 (0.236)	Data 0.164 (0.171)	Loss 2.5671 (2.4965)	Prec@1 33.594 (39.189)	Prec@5 69.141 (69.138)
Epoch: [88][6380/7045]	Time 0.194 (0.236)	Data 0.143 (0.171)	Loss 2.5573 (2.4965)	Prec@1 38.281 (39.186)	Prec@5 66.797 (69.138)
Epoch: [88][6390/7045]	Time 0.198 (0.236)	Data 0.147 (0.171)	Loss 2.3585 (2.4965)	Prec@1 39.844 (39.186)	Prec@5 72.656 (69.138)
Epoch: [88][6400/7045]	Time 0.187 (0.236)	Data 0.136 (0.171)	Loss 2.4385 (2.4965)	Prec@1 38.672 (39.185)	Prec@5 68.359 (69.136)
Epoch: [88][6410/7045]	Time 0.234 (0.236)	Data 0.182 (0.171)	Loss 2.3543 (2.4965)	Prec@1 41.016 (39.186)	Prec@5 70.312 (69.138)
Epoch: [88][6420/7045]	Time 0.173 (0.236)	Data 0.122 (0.171)	Loss 2.6552 (2.4966)	Prec@1 36.719 (39.186)	Prec@5 68.359 (69.137)
Epoch: [88][6430/7045]	Time 0.226 (0.236)	Data 0.174 (0.171)	Loss 2.4133 (2.4965)	Prec@1 39.844 (39.188)	Prec@5 71.094 (69.137)
Epoch: [88][6440/7045]	Time 0.176 (0.236)	Data 0.124 (0.171)	Loss 2.5480 (2.4965)	Prec@1 36.328 (39.187)	Prec@5 67.969 (69.140)
Epoch: [88][6450/7045]	Time 0.238 (0.236)	Data 0.187 (0.171)	Loss 2.5901 (2.4965)	Prec@1 34.766 (39.185)	Prec@5 70.703 (69.139)
Epoch: [88][6460/7045]	Time 0.162 (0.236)	Data 0.110 (0.171)	Loss 2.3421 (2.4965)	Prec@1 41.797 (39.187)	Prec@5 71.484 (69.140)
Epoch: [88][6470/7045]	Time 0.236 (0.236)	Data 0.186 (0.171)	Loss 2.6351 (2.4966)	Prec@1 40.234 (39.186)	Prec@5 65.234 (69.139)
Epoch: [88][6480/7045]	Time 0.131 (0.236)	Data 0.079 (0.171)	Loss 2.4860 (2.4966)	Prec@1 41.406 (39.186)	Prec@5 66.406 (69.136)
Epoch: [88][6490/7045]	Time 0.231 (0.236)	Data 0.178 (0.171)	Loss 2.3964 (2.4965)	Prec@1 42.578 (39.188)	Prec@5 70.703 (69.137)
Epoch: [88][6500/7045]	Time 0.102 (0.236)	Data 0.006 (0.171)	Loss 2.2934 (2.4965)	Prec@1 42.188 (39.188)	Prec@5 75.391 (69.138)
Epoch: [88][6510/7045]	Time 0.243 (0.236)	Data 0.191 (0.171)	Loss 2.4181 (2.4966)	Prec@1 41.797 (39.187)	Prec@5 69.922 (69.137)
Epoch: [88][6520/7045]	Time 0.102 (0.236)	Data 0.003 (0.171)	Loss 2.6724 (2.4966)	Prec@1 36.328 (39.187)	Prec@5 66.016 (69.136)
Epoch: [88][6530/7045]	Time 0.236 (0.236)	Data 0.184 (0.171)	Loss 2.4643 (2.4966)	Prec@1 39.062 (39.190)	Prec@5 70.312 (69.137)
Epoch: [88][6540/7045]	Time 0.103 (0.236)	Data 0.005 (0.171)	Loss 2.5299 (2.4964)	Prec@1 40.625 (39.191)	Prec@5 67.578 (69.140)
Epoch: [88][6550/7045]	Time 0.220 (0.236)	Data 0.169 (0.171)	Loss 2.6442 (2.4964)	Prec@1 36.719 (39.192)	Prec@5 67.969 (69.140)
Epoch: [88][6560/7045]	Time 0.102 (0.236)	Data 0.001 (0.171)	Loss 2.4528 (2.4964)	Prec@1 41.406 (39.194)	Prec@5 70.312 (69.138)
Epoch: [88][6570/7045]	Time 0.187 (0.236)	Data 0.135 (0.171)	Loss 2.2952 (2.4964)	Prec@1 39.844 (39.195)	Prec@5 73.438 (69.140)
Epoch: [88][6580/7045]	Time 0.102 (0.236)	Data 0.003 (0.171)	Loss 2.3087 (2.4963)	Prec@1 40.625 (39.198)	Prec@5 70.703 (69.142)
Epoch: [88][6590/7045]	Time 0.173 (0.236)	Data 0.120 (0.171)	Loss 2.5992 (2.4964)	Prec@1 32.422 (39.195)	Prec@5 68.359 (69.141)
Epoch: [88][6600/7045]	Time 0.102 (0.236)	Data 0.004 (0.171)	Loss 2.5409 (2.4964)	Prec@1 37.500 (39.194)	Prec@5 66.406 (69.140)
Epoch: [88][6610/7045]	Time 0.168 (0.236)	Data 0.116 (0.171)	Loss 2.4585 (2.4964)	Prec@1 38.281 (39.197)	Prec@5 69.922 (69.140)
Epoch: [88][6620/7045]	Time 0.102 (0.236)	Data 0.003 (0.171)	Loss 2.4712 (2.4963)	Prec@1 38.672 (39.196)	Prec@5 69.531 (69.141)
Epoch: [88][6630/7045]	Time 0.194 (0.236)	Data 0.142 (0.171)	Loss 2.3576 (2.4964)	Prec@1 45.312 (39.195)	Prec@5 71.484 (69.139)
Epoch: [88][6640/7045]	Time 0.103 (0.236)	Data 0.005 (0.171)	Loss 2.3111 (2.4964)	Prec@1 41.406 (39.195)	Prec@5 71.484 (69.140)
Epoch: [88][6650/7045]	Time 0.149 (0.236)	Data 0.097 (0.171)	Loss 2.3080 (2.4964)	Prec@1 40.625 (39.195)	Prec@5 72.656 (69.139)
Epoch: [88][6660/7045]	Time 0.099 (0.236)	Data 0.046 (0.171)	Loss 2.4392 (2.4964)	Prec@1 40.625 (39.195)	Prec@5 68.750 (69.139)
Epoch: [88][6670/7045]	Time 0.129 (0.236)	Data 0.077 (0.171)	Loss 2.4043 (2.4963)	Prec@1 40.625 (39.197)	Prec@5 69.922 (69.139)
Epoch: [88][6680/7045]	Time 0.133 (0.236)	Data 0.082 (0.171)	Loss 2.3625 (2.4963)	Prec@1 39.453 (39.197)	Prec@5 71.484 (69.139)
Epoch: [88][6690/7045]	Time 0.122 (0.236)	Data 0.069 (0.171)	Loss 2.6693 (2.4962)	Prec@1 33.203 (39.197)	Prec@5 66.016 (69.138)
Epoch: [88][6700/7045]	Time 0.154 (0.236)	Data 0.101 (0.171)	Loss 2.4302 (2.4963)	Prec@1 37.891 (39.196)	Prec@5 71.484 (69.138)
Epoch: [88][6710/7045]	Time 0.123 (0.236)	Data 0.072 (0.171)	Loss 2.6164 (2.4963)	Prec@1 35.156 (39.193)	Prec@5 66.016 (69.136)
Epoch: [88][6720/7045]	Time 0.223 (0.236)	Data 0.172 (0.171)	Loss 2.4337 (2.4964)	Prec@1 41.406 (39.193)	Prec@5 69.531 (69.136)
Epoch: [88][6730/7045]	Time 0.106 (0.236)	Data 0.052 (0.171)	Loss 2.7592 (2.4964)	Prec@1 36.328 (39.193)	Prec@5 64.844 (69.136)
Epoch: [88][6740/7045]	Time 0.254 (0.236)	Data 0.201 (0.171)	Loss 2.3107 (2.4963)	Prec@1 41.406 (39.196)	Prec@5 72.266 (69.138)
Epoch: [88][6750/7045]	Time 0.104 (0.236)	Data 0.051 (0.171)	Loss 2.6675 (2.4963)	Prec@1 35.938 (39.195)	Prec@5 65.625 (69.139)
Epoch: [88][6760/7045]	Time 0.261 (0.236)	Data 0.210 (0.171)	Loss 2.7083 (2.4963)	Prec@1 37.109 (39.194)	Prec@5 65.234 (69.138)
Epoch: [88][6770/7045]	Time 0.102 (0.236)	Data 0.042 (0.171)	Loss 2.1627 (2.4962)	Prec@1 46.484 (39.198)	Prec@5 73.828 (69.140)
Epoch: [88][6780/7045]	Time 0.332 (0.236)	Data 0.279 (0.171)	Loss 2.2740 (2.4962)	Prec@1 46.094 (39.198)	Prec@5 71.094 (69.141)
Epoch: [88][6790/7045]	Time 0.106 (0.236)	Data 0.053 (0.171)	Loss 2.7111 (2.4962)	Prec@1 38.281 (39.196)	Prec@5 67.188 (69.140)
Epoch: [88][6800/7045]	Time 0.357 (0.236)	Data 0.304 (0.171)	Loss 2.5555 (2.4962)	Prec@1 41.797 (39.197)	Prec@5 70.703 (69.141)
Epoch: [88][6810/7045]	Time 0.108 (0.236)	Data 0.054 (0.171)	Loss 2.3297 (2.4961)	Prec@1 40.234 (39.197)	Prec@5 69.531 (69.142)
Epoch: [88][6820/7045]	Time 0.392 (0.236)	Data 0.340 (0.172)	Loss 2.3187 (2.4962)	Prec@1 41.016 (39.198)	Prec@5 69.922 (69.141)
Epoch: [88][6830/7045]	Time 0.103 (0.236)	Data 0.001 (0.172)	Loss 2.6697 (2.4961)	Prec@1 39.453 (39.200)	Prec@5 66.797 (69.143)
Epoch: [88][6840/7045]	Time 0.374 (0.236)	Data 0.322 (0.172)	Loss 2.4667 (2.4961)	Prec@1 41.797 (39.201)	Prec@5 68.750 (69.144)
Epoch: [88][6850/7045]	Time 0.103 (0.236)	Data 0.003 (0.172)	Loss 2.7614 (2.4961)	Prec@1 37.109 (39.201)	Prec@5 62.109 (69.143)
Epoch: [88][6860/7045]	Time 0.451 (0.236)	Data 0.400 (0.172)	Loss 2.3371 (2.4962)	Prec@1 39.844 (39.200)	Prec@5 74.219 (69.142)
Epoch: [88][6870/7045]	Time 0.108 (0.236)	Data 0.001 (0.172)	Loss 2.4149 (2.4962)	Prec@1 41.797 (39.199)	Prec@5 73.828 (69.143)
Epoch: [88][6880/7045]	Time 0.473 (0.236)	Data 0.421 (0.172)	Loss 2.3935 (2.4961)	Prec@1 41.016 (39.199)	Prec@5 70.312 (69.144)
Epoch: [88][6890/7045]	Time 0.109 (0.236)	Data 0.003 (0.172)	Loss 2.5937 (2.4961)	Prec@1 37.891 (39.199)	Prec@5 66.797 (69.145)
Epoch: [88][6900/7045]	Time 0.520 (0.236)	Data 0.467 (0.172)	Loss 2.5386 (2.4961)	Prec@1 39.062 (39.198)	Prec@5 69.141 (69.144)
Epoch: [88][6910/7045]	Time 0.108 (0.236)	Data 0.004 (0.172)	Loss 2.8092 (2.4961)	Prec@1 34.375 (39.200)	Prec@5 62.500 (69.144)
Epoch: [88][6920/7045]	Time 0.514 (0.236)	Data 0.461 (0.172)	Loss 2.1139 (2.4961)	Prec@1 49.609 (39.201)	Prec@5 76.953 (69.145)
Epoch: [88][6930/7045]	Time 0.108 (0.236)	Data 0.008 (0.172)	Loss 2.3788 (2.4960)	Prec@1 42.188 (39.200)	Prec@5 69.141 (69.147)
Epoch: [88][6940/7045]	Time 0.529 (0.236)	Data 0.477 (0.172)	Loss 2.6106 (2.4961)	Prec@1 39.453 (39.200)	Prec@5 65.234 (69.146)
Epoch: [88][6950/7045]	Time 0.108 (0.236)	Data 0.003 (0.172)	Loss 2.5302 (2.4961)	Prec@1 37.500 (39.199)	Prec@5 68.750 (69.145)
Epoch: [88][6960/7045]	Time 0.631 (0.236)	Data 0.568 (0.172)	Loss 2.3502 (2.4961)	Prec@1 46.094 (39.201)	Prec@5 70.312 (69.146)
Epoch: [88][6970/7045]	Time 0.107 (0.236)	Data 0.006 (0.172)	Loss 2.3620 (2.4960)	Prec@1 39.062 (39.202)	Prec@5 69.922 (69.148)
Epoch: [88][6980/7045]	Time 0.621 (0.236)	Data 0.569 (0.172)	Loss 2.6982 (2.4960)	Prec@1 37.109 (39.203)	Prec@5 65.625 (69.147)
Epoch: [88][6990/7045]	Time 0.109 (0.236)	Data 0.003 (0.171)	Loss 2.4902 (2.4960)	Prec@1 35.938 (39.202)	Prec@5 73.828 (69.147)
Epoch: [88][7000/7045]	Time 0.640 (0.236)	Data 0.587 (0.172)	Loss 2.3611 (2.4959)	Prec@1 40.625 (39.203)	Prec@5 73.828 (69.149)
Epoch: [88][7010/7045]	Time 0.102 (0.236)	Data 0.001 (0.171)	Loss 2.3806 (2.4960)	Prec@1 39.844 (39.202)	Prec@5 71.875 (69.148)
Epoch: [88][7020/7045]	Time 0.549 (0.236)	Data 0.497 (0.171)	Loss 2.3042 (2.4960)	Prec@1 47.266 (39.203)	Prec@5 73.828 (69.149)
Epoch: [88][7030/7045]	Time 0.109 (0.236)	Data 0.056 (0.171)	Loss 2.5916 (2.4960)	Prec@1 36.719 (39.203)	Prec@5 66.797 (69.148)
Epoch: [88][7040/7045]	Time 0.618 (0.236)	Data 0.566 (0.171)	Loss 2.6056 (2.4960)	Prec@1 33.594 (39.203)	Prec@5 65.625 (69.148)
Test: [0/143]	Time 1.290 (1.290)	Loss 2.1238 (2.1238)	Prec@1 48.828 (48.828)	Prec@5 75.391 (75.391)
Test: [10/143]	Time 0.049 (0.246)	Loss 1.6148 (1.9445)	Prec@1 60.547 (51.349)	Prec@5 84.766 (80.575)
Test: [20/143]	Time 0.504 (0.221)	Loss 2.1795 (1.9458)	Prec@1 42.969 (49.665)	Prec@5 77.344 (80.748)
Test: [30/143]	Time 0.048 (0.200)	Loss 2.1373 (1.9755)	Prec@1 48.828 (49.521)	Prec@5 72.266 (79.284)
Test: [40/143]	Time 0.447 (0.200)	Loss 2.6945 (2.0160)	Prec@1 26.562 (48.380)	Prec@5 69.531 (78.478)
Test: [50/143]	Time 0.049 (0.189)	Loss 1.9652 (2.0690)	Prec@1 43.750 (46.875)	Prec@5 80.469 (77.911)
Test: [60/143]	Time 0.502 (0.189)	Loss 2.4401 (2.0590)	Prec@1 33.594 (47.138)	Prec@5 75.391 (78.131)
Test: [70/143]	Time 0.048 (0.183)	Loss 2.9645 (2.0530)	Prec@1 24.609 (47.365)	Prec@5 61.719 (78.219)
Test: [80/143]	Time 0.634 (0.185)	Loss 1.9197 (2.0467)	Prec@1 49.609 (47.420)	Prec@5 82.812 (78.463)
Test: [90/143]	Time 0.049 (0.180)	Loss 1.7729 (2.0394)	Prec@1 53.516 (47.527)	Prec@5 87.500 (78.597)
Test: [100/143]	Time 0.565 (0.181)	Loss 1.9042 (2.0396)	Prec@1 50.000 (47.490)	Prec@5 83.594 (78.678)
Test: [110/143]	Time 0.058 (0.177)	Loss 1.9077 (2.0370)	Prec@1 51.953 (47.660)	Prec@5 79.688 (78.723)
Test: [120/143]	Time 0.500 (0.178)	Loss 1.8030 (2.0307)	Prec@1 54.297 (47.869)	Prec@5 83.594 (78.806)
Test: [130/143]	Time 0.048 (0.176)	Loss 1.5419 (2.0402)	Prec@1 64.062 (47.740)	Prec@5 81.641 (78.557)
Test: [140/143]	Time 0.399 (0.177)	Loss 3.1043 (2.0631)	Prec@1 22.266 (47.166)	Prec@5 61.719 (78.183)
 * Prec@1 47.189 Prec@5 78.178
Epoch: [89][0/7045]	Time 2.699 (2.699)	Data 2.642 (2.642)	Loss 2.5831 (2.5831)	Prec@1 35.938 (35.938)	Prec@5 66.016 (66.016)
Epoch: [89][10/7045]	Time 0.111 (0.405)	Data 0.060 (0.330)	Loss 2.4627 (2.5162)	Prec@1 41.406 (38.814)	Prec@5 69.531 (69.354)
Epoch: [89][20/7045]	Time 0.372 (0.342)	Data 0.319 (0.273)	Loss 2.3474 (2.5271)	Prec@1 39.844 (39.379)	Prec@5 73.047 (68.992)
Epoch: [89][30/7045]	Time 0.111 (0.299)	Data 0.059 (0.229)	Loss 2.5655 (2.5259)	Prec@1 37.500 (38.999)	Prec@5 68.359 (68.876)
Epoch: [89][40/7045]	Time 0.366 (0.292)	Data 0.308 (0.225)	Loss 2.4824 (2.5164)	Prec@1 40.234 (39.186)	Prec@5 69.531 (69.179)
Epoch: [89][50/7045]	Time 0.104 (0.275)	Data 0.051 (0.206)	Loss 2.4583 (2.5021)	Prec@1 38.672 (39.422)	Prec@5 67.969 (69.378)
Epoch: [89][60/7045]	Time 0.272 (0.273)	Data 0.221 (0.205)	Loss 2.4931 (2.4905)	Prec@1 37.500 (39.415)	Prec@5 69.141 (69.499)
Epoch: [89][70/7045]	Time 0.129 (0.264)	Data 0.076 (0.196)	Loss 2.4720 (2.4994)	Prec@1 37.891 (39.173)	Prec@5 69.141 (69.322)
Epoch: [89][80/7045]	Time 0.332 (0.265)	Data 0.280 (0.198)	Loss 2.5274 (2.5058)	Prec@1 39.062 (39.019)	Prec@5 67.578 (69.117)
Epoch: [89][90/7045]	Time 0.108 (0.258)	Data 0.054 (0.191)	Loss 2.4720 (2.5020)	Prec@1 43.359 (39.238)	Prec@5 69.531 (69.102)
Epoch: [89][100/7045]	Time 0.243 (0.259)	Data 0.192 (0.192)	Loss 2.3664 (2.5077)	Prec@1 43.750 (39.217)	Prec@5 70.703 (68.974)
Epoch: [89][110/7045]	Time 0.112 (0.255)	Data 0.060 (0.188)	Loss 2.9513 (2.5103)	Prec@1 30.078 (39.168)	Prec@5 60.156 (68.880)
Epoch: [89][120/7045]	Time 0.246 (0.255)	Data 0.194 (0.189)	Loss 2.5032 (2.5092)	Prec@1 35.156 (39.101)	Prec@5 70.312 (68.808)
Epoch: [89][130/7045]	Time 0.104 (0.252)	Data 0.051 (0.185)	Loss 2.5342 (2.5117)	Prec@1 40.625 (39.036)	Prec@5 66.406 (68.771)
Epoch: [89][140/7045]	Time 0.258 (0.253)	Data 0.198 (0.186)	Loss 2.4403 (2.5086)	Prec@1 42.969 (39.190)	Prec@5 70.703 (68.855)
Epoch: [89][150/7045]	Time 0.102 (0.250)	Data 0.004 (0.184)	Loss 2.4578 (2.5064)	Prec@1 40.234 (39.181)	Prec@5 68.359 (68.903)
Epoch: [89][160/7045]	Time 0.196 (0.251)	Data 0.144 (0.185)	Loss 2.3454 (2.5010)	Prec@1 39.453 (39.312)	Prec@5 72.656 (68.997)
Epoch: [89][170/7045]	Time 0.102 (0.249)	Data 0.007 (0.182)	Loss 2.6632 (2.5014)	Prec@1 40.234 (39.270)	Prec@5 64.453 (69.033)
Epoch: [89][180/7045]	Time 0.191 (0.249)	Data 0.133 (0.183)	Loss 2.5287 (2.4981)	Prec@1 42.578 (39.354)	Prec@5 63.672 (69.115)
Epoch: [89][190/7045]	Time 0.102 (0.247)	Data 0.003 (0.181)	Loss 2.5455 (2.4992)	Prec@1 37.109 (39.296)	Prec@5 68.750 (69.157)
Epoch: [89][200/7045]	Time 0.149 (0.248)	Data 0.097 (0.182)	Loss 2.3761 (2.5002)	Prec@1 41.797 (39.298)	Prec@5 71.484 (69.123)
Epoch: [89][210/7045]	Time 0.102 (0.247)	Data 0.001 (0.181)	Loss 2.4008 (2.4986)	Prec@1 42.969 (39.340)	Prec@5 69.922 (69.161)
Epoch: [89][220/7045]	Time 0.105 (0.247)	Data 0.053 (0.181)	Loss 2.6172 (2.4983)	Prec@1 37.500 (39.342)	Prec@5 65.625 (69.155)
Epoch: [89][230/7045]	Time 0.101 (0.246)	Data 0.006 (0.180)	Loss 2.6400 (2.4991)	Prec@1 40.234 (39.291)	Prec@5 65.625 (69.132)
Epoch: [89][240/7045]	Time 0.102 (0.246)	Data 0.007 (0.180)	Loss 2.5926 (2.4992)	Prec@1 41.016 (39.293)	Prec@5 67.969 (69.149)
Epoch: [89][250/7045]	Time 0.102 (0.245)	Data 0.003 (0.178)	Loss 2.4193 (2.4962)	Prec@1 38.672 (39.307)	Prec@5 69.531 (69.211)
Epoch: [89][260/7045]	Time 0.107 (0.246)	Data 0.005 (0.178)	Loss 2.4994 (2.4972)	Prec@1 37.500 (39.324)	Prec@5 67.969 (69.156)
Epoch: [89][270/7045]	Time 0.102 (0.244)	Data 0.046 (0.177)	Loss 2.8758 (2.4983)	Prec@1 32.812 (39.323)	Prec@5 66.797 (69.156)
Epoch: [89][280/7045]	Time 0.109 (0.245)	Data 0.005 (0.178)	Loss 2.3684 (2.4978)	Prec@1 42.578 (39.303)	Prec@5 71.875 (69.189)
Epoch: [89][290/7045]	Time 0.102 (0.244)	Data 0.003 (0.177)	Loss 2.6123 (2.4964)	Prec@1 37.109 (39.323)	Prec@5 66.797 (69.225)
Epoch: [89][300/7045]	Time 0.109 (0.245)	Data 0.008 (0.177)	Loss 2.4709 (2.4970)	Prec@1 39.062 (39.325)	Prec@5 69.141 (69.224)
Epoch: [89][310/7045]	Time 0.102 (0.244)	Data 0.001 (0.176)	Loss 2.4712 (2.4977)	Prec@1 39.062 (39.297)	Prec@5 67.578 (69.220)
Epoch: [89][320/7045]	Time 0.108 (0.244)	Data 0.009 (0.176)	Loss 2.4949 (2.4963)	Prec@1 37.500 (39.266)	Prec@5 70.312 (69.255)
Epoch: [89][330/7045]	Time 0.102 (0.243)	Data 0.006 (0.175)	Loss 2.3925 (2.4974)	Prec@1 37.500 (39.230)	Prec@5 67.969 (69.206)
Epoch: [89][340/7045]	Time 0.108 (0.244)	Data 0.005 (0.175)	Loss 2.3579 (2.4976)	Prec@1 41.406 (39.203)	Prec@5 72.656 (69.196)
Epoch: [89][350/7045]	Time 0.102 (0.243)	Data 0.004 (0.174)	Loss 2.5851 (2.4984)	Prec@1 38.672 (39.185)	Prec@5 65.625 (69.165)
Epoch: [89][360/7045]	Time 0.102 (0.243)	Data 0.002 (0.174)	Loss 2.3530 (2.4984)	Prec@1 44.141 (39.196)	Prec@5 70.703 (69.164)
Epoch: [89][370/7045]	Time 0.102 (0.242)	Data 0.008 (0.173)	Loss 2.6557 (2.4980)	Prec@1 36.328 (39.220)	Prec@5 65.234 (69.180)
Epoch: [89][380/7045]	Time 0.102 (0.243)	Data 0.006 (0.174)	Loss 2.5336 (2.4987)	Prec@1 42.578 (39.240)	Prec@5 69.531 (69.158)
Epoch: [89][390/7045]	Time 0.102 (0.242)	Data 0.006 (0.173)	Loss 2.7229 (2.4987)	Prec@1 34.766 (39.229)	Prec@5 67.969 (69.176)
Epoch: [89][400/7045]	Time 0.102 (0.242)	Data 0.005 (0.173)	Loss 2.4331 (2.4984)	Prec@1 40.234 (39.247)	Prec@5 69.922 (69.187)
Epoch: [89][410/7045]	Time 0.102 (0.242)	Data 0.002 (0.173)	Loss 2.3409 (2.4987)	Prec@1 41.016 (39.242)	Prec@5 71.484 (69.157)
Epoch: [89][420/7045]	Time 0.109 (0.242)	Data 0.007 (0.173)	Loss 2.2659 (2.4990)	Prec@1 43.359 (39.211)	Prec@5 73.047 (69.155)
Epoch: [89][430/7045]	Time 0.102 (0.242)	Data 0.003 (0.172)	Loss 2.5010 (2.4997)	Prec@1 39.453 (39.201)	Prec@5 69.922 (69.151)
Epoch: [89][440/7045]	Time 0.101 (0.242)	Data 0.001 (0.172)	Loss 2.5135 (2.5004)	Prec@1 39.062 (39.196)	Prec@5 69.922 (69.134)
Epoch: [89][450/7045]	Time 0.102 (0.241)	Data 0.003 (0.171)	Loss 2.4389 (2.5000)	Prec@1 40.625 (39.200)	Prec@5 69.531 (69.153)
Epoch: [89][460/7045]	Time 0.108 (0.242)	Data 0.008 (0.172)	Loss 2.5222 (2.5006)	Prec@1 39.453 (39.198)	Prec@5 70.312 (69.122)
Epoch: [89][470/7045]	Time 0.102 (0.241)	Data 0.001 (0.171)	Loss 2.6227 (2.5004)	Prec@1 34.375 (39.212)	Prec@5 64.453 (69.123)
Epoch: [89][480/7045]	Time 0.109 (0.242)	Data 0.007 (0.171)	Loss 2.6021 (2.5012)	Prec@1 39.453 (39.205)	Prec@5 65.234 (69.111)
Epoch: [89][490/7045]	Time 0.103 (0.241)	Data 0.001 (0.170)	Loss 2.5787 (2.5006)	Prec@1 37.891 (39.207)	Prec@5 66.797 (69.110)
Epoch: [89][500/7045]	Time 0.108 (0.242)	Data 0.006 (0.170)	Loss 2.3620 (2.4999)	Prec@1 43.750 (39.228)	Prec@5 70.703 (69.120)
Epoch: [89][510/7045]	Time 0.102 (0.241)	Data 0.001 (0.169)	Loss 2.4051 (2.4995)	Prec@1 43.359 (39.238)	Prec@5 70.703 (69.125)
Epoch: [89][520/7045]	Time 0.107 (0.241)	Data 0.014 (0.169)	Loss 2.4685 (2.4997)	Prec@1 39.844 (39.213)	Prec@5 68.359 (69.102)
Epoch: [89][530/7045]	Time 0.101 (0.241)	Data 0.006 (0.168)	Loss 2.6412 (2.5002)	Prec@1 38.672 (39.191)	Prec@5 70.312 (69.111)
Epoch: [89][540/7045]	Time 0.105 (0.241)	Data 0.052 (0.169)	Loss 2.1960 (2.4994)	Prec@1 42.188 (39.199)	Prec@5 78.516 (69.132)
Epoch: [89][550/7045]	Time 0.103 (0.241)	Data 0.004 (0.168)	Loss 2.5072 (2.4996)	Prec@1 35.156 (39.192)	Prec@5 67.969 (69.131)
Epoch: [89][560/7045]	Time 0.107 (0.241)	Data 0.045 (0.168)	Loss 2.4335 (2.4991)	Prec@1 41.797 (39.200)	Prec@5 70.312 (69.145)
Epoch: [89][570/7045]	Time 0.102 (0.240)	Data 0.001 (0.168)	Loss 2.5450 (2.4996)	Prec@1 37.500 (39.187)	Prec@5 68.750 (69.147)
Epoch: [89][580/7045]	Time 0.108 (0.241)	Data 0.006 (0.168)	Loss 2.2628 (2.4988)	Prec@1 42.969 (39.204)	Prec@5 75.781 (69.171)
Epoch: [89][590/7045]	Time 0.103 (0.240)	Data 0.001 (0.167)	Loss 2.4983 (2.4984)	Prec@1 41.406 (39.214)	Prec@5 69.141 (69.179)
Epoch: [89][600/7045]	Time 0.116 (0.241)	Data 0.059 (0.168)	Loss 2.4868 (2.4979)	Prec@1 38.672 (39.224)	Prec@5 70.703 (69.185)
Epoch: [89][610/7045]	Time 0.103 (0.240)	Data 0.001 (0.167)	Loss 2.5858 (2.4972)	Prec@1 38.672 (39.244)	Prec@5 65.234 (69.198)
Epoch: [89][620/7045]	Time 0.161 (0.241)	Data 0.109 (0.167)	Loss 2.5648 (2.4968)	Prec@1 37.891 (39.243)	Prec@5 69.922 (69.215)
Epoch: [89][630/7045]	Time 0.102 (0.240)	Data 0.001 (0.167)	Loss 2.4736 (2.4964)	Prec@1 37.109 (39.219)	Prec@5 70.703 (69.242)
Epoch: [89][640/7045]	Time 0.193 (0.241)	Data 0.141 (0.167)	Loss 2.4577 (2.4952)	Prec@1 37.109 (39.253)	Prec@5 69.141 (69.253)
Epoch: [89][650/7045]	Time 0.103 (0.240)	Data 0.001 (0.166)	Loss 2.2871 (2.4945)	Prec@1 41.797 (39.278)	Prec@5 76.172 (69.253)
Epoch: [89][660/7045]	Time 0.153 (0.240)	Data 0.100 (0.167)	Loss 2.4192 (2.4942)	Prec@1 38.672 (39.292)	Prec@5 69.922 (69.265)
Epoch: [89][670/7045]	Time 0.102 (0.240)	Data 0.001 (0.166)	Loss 2.5023 (2.4940)	Prec@1 41.016 (39.302)	Prec@5 70.312 (69.266)
Epoch: [89][680/7045]	Time 0.109 (0.240)	Data 0.006 (0.166)	Loss 2.6287 (2.4953)	Prec@1 37.891 (39.265)	Prec@5 66.406 (69.228)
Epoch: [89][690/7045]	Time 0.102 (0.240)	Data 0.001 (0.166)	Loss 2.5313 (2.4949)	Prec@1 33.984 (39.261)	Prec@5 68.750 (69.235)
Epoch: [89][700/7045]	Time 0.111 (0.240)	Data 0.059 (0.166)	Loss 2.1413 (2.4936)	Prec@1 48.828 (39.298)	Prec@5 76.172 (69.251)
Epoch: [89][710/7045]	Time 0.103 (0.240)	Data 0.001 (0.165)	Loss 2.5215 (2.4933)	Prec@1 37.109 (39.283)	Prec@5 67.188 (69.259)
Epoch: [89][720/7045]	Time 0.108 (0.240)	Data 0.004 (0.166)	Loss 2.4799 (2.4931)	Prec@1 39.844 (39.286)	Prec@5 67.188 (69.257)
Epoch: [89][730/7045]	Time 0.103 (0.240)	Data 0.001 (0.165)	Loss 2.4296 (2.4931)	Prec@1 35.156 (39.286)	Prec@5 69.141 (69.247)
Epoch: [89][740/7045]	Time 0.108 (0.240)	Data 0.006 (0.165)	Loss 2.6694 (2.4923)	Prec@1 35.156 (39.285)	Prec@5 65.234 (69.271)
Epoch: [89][750/7045]	Time 0.102 (0.240)	Data 0.001 (0.164)	Loss 2.6186 (2.4915)	Prec@1 39.062 (39.286)	Prec@5 64.062 (69.275)
Epoch: [89][760/7045]	Time 0.110 (0.240)	Data 0.007 (0.165)	Loss 2.5766 (2.4923)	Prec@1 40.234 (39.297)	Prec@5 64.844 (69.246)
Epoch: [89][770/7045]	Time 0.102 (0.240)	Data 0.001 (0.164)	Loss 2.3690 (2.4919)	Prec@1 38.672 (39.308)	Prec@5 70.703 (69.242)
Epoch: [89][780/7045]	Time 0.108 (0.240)	Data 0.005 (0.164)	Loss 2.2466 (2.4919)	Prec@1 43.750 (39.297)	Prec@5 71.094 (69.245)
Epoch: [89][790/7045]	Time 0.102 (0.240)	Data 0.001 (0.164)	Loss 2.5043 (2.4917)	Prec@1 38.281 (39.303)	Prec@5 70.312 (69.238)
Epoch: [89][800/7045]	Time 0.101 (0.240)	Data 0.003 (0.164)	Loss 2.6307 (2.4917)	Prec@1 36.328 (39.316)	Prec@5 65.625 (69.234)
Epoch: [89][810/7045]	Time 0.108 (0.239)	Data 0.054 (0.164)	Loss 2.4537 (2.4910)	Prec@1 39.062 (39.321)	Prec@5 69.531 (69.253)
Epoch: [89][820/7045]	Time 0.102 (0.240)	Data 0.004 (0.164)	Loss 2.3603 (2.4903)	Prec@1 41.797 (39.326)	Prec@5 71.875 (69.265)
Epoch: [89][830/7045]	Time 0.111 (0.239)	Data 0.058 (0.163)	Loss 2.5920 (2.4898)	Prec@1 37.109 (39.344)	Prec@5 67.969 (69.269)
Epoch: [89][840/7045]	Time 0.103 (0.240)	Data 0.004 (0.164)	Loss 2.5803 (2.4906)	Prec@1 37.500 (39.334)	Prec@5 69.141 (69.249)
Epoch: [89][850/7045]	Time 0.249 (0.239)	Data 0.196 (0.163)	Loss 2.5325 (2.4913)	Prec@1 36.328 (39.319)	Prec@5 67.578 (69.230)
Epoch: [89][860/7045]	Time 0.110 (0.240)	Data 0.005 (0.164)	Loss 2.3871 (2.4911)	Prec@1 38.281 (39.316)	Prec@5 73.047 (69.236)
Epoch: [89][870/7045]	Time 0.232 (0.239)	Data 0.180 (0.163)	Loss 2.5252 (2.4910)	Prec@1 40.625 (39.330)	Prec@5 69.141 (69.242)
Epoch: [89][880/7045]	Time 0.103 (0.239)	Data 0.002 (0.164)	Loss 2.4698 (2.4912)	Prec@1 39.453 (39.327)	Prec@5 73.047 (69.236)
Epoch: [89][890/7045]	Time 0.255 (0.239)	Data 0.203 (0.164)	Loss 2.3420 (2.4910)	Prec@1 42.969 (39.333)	Prec@5 71.094 (69.245)
Epoch: [89][900/7045]	Time 0.098 (0.239)	Data 0.001 (0.164)	Loss 2.6682 (2.4900)	Prec@1 37.500 (39.351)	Prec@5 64.844 (69.260)
Epoch: [89][910/7045]	Time 0.291 (0.239)	Data 0.239 (0.164)	Loss 2.7099 (2.4902)	Prec@1 37.109 (39.350)	Prec@5 63.281 (69.251)
Epoch: [89][920/7045]	Time 0.106 (0.239)	Data 0.052 (0.164)	Loss 2.7469 (2.4901)	Prec@1 37.109 (39.354)	Prec@5 65.625 (69.253)
Epoch: [89][930/7045]	Time 0.275 (0.239)	Data 0.223 (0.164)	Loss 2.3822 (2.4899)	Prec@1 41.797 (39.364)	Prec@5 72.266 (69.255)
Epoch: [89][940/7045]	Time 0.102 (0.239)	Data 0.005 (0.164)	Loss 2.6234 (2.4897)	Prec@1 38.281 (39.373)	Prec@5 67.188 (69.266)
Epoch: [89][950/7045]	Time 0.324 (0.239)	Data 0.271 (0.164)	Loss 2.4839 (2.4900)	Prec@1 35.938 (39.362)	Prec@5 67.969 (69.259)
Epoch: [89][960/7045]	Time 0.102 (0.239)	Data 0.006 (0.164)	Loss 2.5437 (2.4896)	Prec@1 37.500 (39.371)	Prec@5 67.188 (69.267)
Epoch: [89][970/7045]	Time 0.321 (0.239)	Data 0.269 (0.164)	Loss 2.7096 (2.4902)	Prec@1 35.938 (39.359)	Prec@5 66.797 (69.254)
Epoch: [89][980/7045]	Time 0.108 (0.239)	Data 0.004 (0.164)	Loss 2.5492 (2.4900)	Prec@1 40.625 (39.360)	Prec@5 67.969 (69.266)
Epoch: [89][990/7045]	Time 0.175 (0.239)	Data 0.123 (0.164)	Loss 2.2939 (2.4896)	Prec@1 42.188 (39.362)	Prec@5 72.656 (69.268)
Epoch: [89][1000/7045]	Time 0.102 (0.239)	Data 0.003 (0.164)	Loss 2.4995 (2.4898)	Prec@1 42.188 (39.364)	Prec@5 68.359 (69.258)
Epoch: [89][1010/7045]	Time 0.108 (0.239)	Data 0.054 (0.164)	Loss 2.6103 (2.4896)	Prec@1 39.062 (39.375)	Prec@5 71.875 (69.269)
Epoch: [89][1020/7045]	Time 0.102 (0.239)	Data 0.003 (0.164)	Loss 2.4728 (2.4897)	Prec@1 37.891 (39.378)	Prec@5 68.359 (69.268)
Epoch: [89][1030/7045]	Time 0.339 (0.239)	Data 0.287 (0.164)	Loss 2.2765 (2.4895)	Prec@1 43.750 (39.386)	Prec@5 75.781 (69.276)
Epoch: [89][1040/7045]	Time 0.102 (0.239)	Data 0.003 (0.164)	Loss 2.4894 (2.4897)	Prec@1 39.844 (39.391)	Prec@5 67.578 (69.270)
Epoch: [89][1050/7045]	Time 0.249 (0.239)	Data 0.189 (0.164)	Loss 2.6393 (2.4898)	Prec@1 34.375 (39.388)	Prec@5 66.016 (69.268)
Epoch: [89][1060/7045]	Time 0.171 (0.239)	Data 0.119 (0.164)	Loss 2.2886 (2.4897)	Prec@1 42.969 (39.392)	Prec@5 71.875 (69.269)
Epoch: [89][1070/7045]	Time 0.245 (0.239)	Data 0.193 (0.165)	Loss 2.5382 (2.4892)	Prec@1 38.281 (39.393)	Prec@5 71.094 (69.274)
Epoch: [89][1080/7045]	Time 0.202 (0.239)	Data 0.151 (0.165)	Loss 2.3450 (2.4886)	Prec@1 43.359 (39.410)	Prec@5 69.531 (69.279)
Epoch: [89][1090/7045]	Time 0.256 (0.239)	Data 0.198 (0.165)	Loss 2.6823 (2.4885)	Prec@1 36.328 (39.412)	Prec@5 66.406 (69.288)
Epoch: [89][1100/7045]	Time 0.199 (0.239)	Data 0.147 (0.165)	Loss 2.3268 (2.4884)	Prec@1 45.703 (39.411)	Prec@5 71.094 (69.278)
Epoch: [89][1110/7045]	Time 0.234 (0.239)	Data 0.177 (0.165)	Loss 2.4793 (2.4884)	Prec@1 41.016 (39.408)	Prec@5 69.922 (69.274)
Epoch: [89][1120/7045]	Time 0.209 (0.239)	Data 0.157 (0.165)	Loss 2.4691 (2.4882)	Prec@1 37.109 (39.409)	Prec@5 70.312 (69.289)
Epoch: [89][1130/7045]	Time 0.205 (0.239)	Data 0.146 (0.165)	Loss 2.3967 (2.4880)	Prec@1 44.531 (39.415)	Prec@5 71.875 (69.293)
Epoch: [89][1140/7045]	Time 0.235 (0.239)	Data 0.183 (0.166)	Loss 2.2645 (2.4879)	Prec@1 44.531 (39.411)	Prec@5 75.000 (69.301)
Epoch: [89][1150/7045]	Time 0.207 (0.239)	Data 0.155 (0.166)	Loss 2.5566 (2.4882)	Prec@1 39.453 (39.409)	Prec@5 69.141 (69.300)
Epoch: [89][1160/7045]	Time 0.202 (0.239)	Data 0.149 (0.166)	Loss 2.5576 (2.4888)	Prec@1 33.203 (39.398)	Prec@5 66.797 (69.290)
Epoch: [89][1170/7045]	Time 0.247 (0.239)	Data 0.188 (0.166)	Loss 2.4592 (2.4889)	Prec@1 38.672 (39.395)	Prec@5 68.359 (69.288)
Epoch: [89][1180/7045]	Time 0.218 (0.239)	Data 0.164 (0.166)	Loss 2.4794 (2.4883)	Prec@1 39.453 (39.414)	Prec@5 67.188 (69.308)
Epoch: [89][1190/7045]	Time 0.226 (0.239)	Data 0.167 (0.166)	Loss 2.3564 (2.4881)	Prec@1 41.797 (39.418)	Prec@5 72.266 (69.312)
Epoch: [89][1200/7045]	Time 0.267 (0.239)	Data 0.215 (0.166)	Loss 2.4958 (2.4880)	Prec@1 34.766 (39.414)	Prec@5 74.219 (69.321)
Epoch: [89][1210/7045]	Time 0.225 (0.239)	Data 0.172 (0.167)	Loss 2.4532 (2.4875)	Prec@1 39.844 (39.422)	Prec@5 68.750 (69.328)
Epoch: [89][1220/7045]	Time 0.284 (0.239)	Data 0.234 (0.167)	Loss 2.4983 (2.4874)	Prec@1 38.281 (39.418)	Prec@5 68.359 (69.332)
Epoch: [89][1230/7045]	Time 0.200 (0.239)	Data 0.142 (0.167)	Loss 2.4260 (2.4873)	Prec@1 39.062 (39.430)	Prec@5 72.266 (69.337)
Epoch: [89][1240/7045]	Time 0.308 (0.239)	Data 0.257 (0.167)	Loss 2.2615 (2.4869)	Prec@1 41.406 (39.441)	Prec@5 73.828 (69.339)
Epoch: [89][1250/7045]	Time 0.174 (0.239)	Data 0.122 (0.167)	Loss 2.2688 (2.4866)	Prec@1 45.703 (39.454)	Prec@5 73.047 (69.340)
Epoch: [89][1260/7045]	Time 0.323 (0.239)	Data 0.272 (0.167)	Loss 2.4671 (2.4871)	Prec@1 39.453 (39.446)	Prec@5 69.531 (69.332)
Epoch: [89][1270/7045]	Time 0.159 (0.239)	Data 0.106 (0.167)	Loss 2.4506 (2.4872)	Prec@1 38.281 (39.444)	Prec@5 68.359 (69.334)
Epoch: [89][1280/7045]	Time 0.333 (0.239)	Data 0.281 (0.168)	Loss 2.3098 (2.4870)	Prec@1 44.141 (39.444)	Prec@5 74.219 (69.330)
Epoch: [89][1290/7045]	Time 0.142 (0.239)	Data 0.084 (0.168)	Loss 2.3115 (2.4867)	Prec@1 42.578 (39.453)	Prec@5 71.094 (69.336)
Epoch: [89][1300/7045]	Time 0.320 (0.239)	Data 0.269 (0.168)	Loss 2.4824 (2.4871)	Prec@1 41.406 (39.441)	Prec@5 69.531 (69.332)
Epoch: [89][1310/7045]	Time 0.102 (0.239)	Data 0.001 (0.168)	Loss 2.5252 (2.4870)	Prec@1 37.891 (39.450)	Prec@5 68.359 (69.334)
Epoch: [89][1320/7045]	Time 0.247 (0.239)	Data 0.195 (0.168)	Loss 2.4976 (2.4865)	Prec@1 37.500 (39.453)	Prec@5 66.016 (69.340)
Epoch: [89][1330/7045]	Time 0.109 (0.239)	Data 0.005 (0.168)	Loss 2.5187 (2.4864)	Prec@1 38.672 (39.464)	Prec@5 73.438 (69.342)
Epoch: [89][1340/7045]	Time 0.147 (0.239)	Data 0.094 (0.168)	Loss 2.6979 (2.4867)	Prec@1 36.719 (39.456)	Prec@5 66.406 (69.340)
Epoch: [89][1350/7045]	Time 0.102 (0.239)	Data 0.006 (0.168)	Loss 2.4798 (2.4867)	Prec@1 40.625 (39.455)	Prec@5 72.656 (69.340)
Epoch: [89][1360/7045]	Time 0.115 (0.239)	Data 0.062 (0.168)	Loss 2.4841 (2.4863)	Prec@1 42.578 (39.465)	Prec@5 70.312 (69.345)
Epoch: [89][1370/7045]	Time 0.103 (0.239)	Data 0.005 (0.168)	Loss 2.5564 (2.4866)	Prec@1 36.719 (39.455)	Prec@5 71.484 (69.344)
Epoch: [89][1380/7045]	Time 0.328 (0.239)	Data 0.276 (0.168)	Loss 2.5152 (2.4869)	Prec@1 40.234 (39.441)	Prec@5 67.188 (69.339)
Epoch: [89][1390/7045]	Time 0.103 (0.239)	Data 0.006 (0.168)	Loss 2.2761 (2.4868)	Prec@1 41.797 (39.440)	Prec@5 71.484 (69.332)
Epoch: [89][1400/7045]	Time 0.518 (0.239)	Data 0.466 (0.168)	Loss 2.5128 (2.4861)	Prec@1 37.891 (39.453)	Prec@5 66.797 (69.344)
Epoch: [89][1410/7045]	Time 0.101 (0.239)	Data 0.001 (0.168)	Loss 2.5633 (2.4862)	Prec@1 38.672 (39.449)	Prec@5 69.531 (69.345)
Epoch: [89][1420/7045]	Time 0.548 (0.239)	Data 0.497 (0.168)	Loss 2.3806 (2.4864)	Prec@1 38.672 (39.440)	Prec@5 72.656 (69.346)
Epoch: [89][1430/7045]	Time 0.148 (0.239)	Data 0.096 (0.168)	Loss 2.5316 (2.4865)	Prec@1 42.188 (39.440)	Prec@5 65.625 (69.339)
Epoch: [89][1440/7045]	Time 0.517 (0.239)	Data 0.464 (0.168)	Loss 2.4128 (2.4866)	Prec@1 39.453 (39.431)	Prec@5 72.656 (69.337)
Epoch: [89][1450/7045]	Time 0.296 (0.239)	Data 0.238 (0.168)	Loss 2.4509 (2.4866)	Prec@1 38.672 (39.434)	Prec@5 66.797 (69.332)
Epoch: [89][1460/7045]	Time 0.343 (0.239)	Data 0.291 (0.168)	Loss 2.4751 (2.4868)	Prec@1 38.672 (39.424)	Prec@5 68.750 (69.321)
Epoch: [89][1470/7045]	Time 0.303 (0.239)	Data 0.251 (0.168)	Loss 2.3517 (2.4867)	Prec@1 42.188 (39.430)	Prec@5 71.094 (69.316)
Epoch: [89][1480/7045]	Time 0.103 (0.239)	Data 0.051 (0.168)	Loss 2.4499 (2.4869)	Prec@1 40.234 (39.428)	Prec@5 71.484 (69.317)
Epoch: [89][1490/7045]	Time 0.151 (0.239)	Data 0.099 (0.168)	Loss 2.4975 (2.4873)	Prec@1 43.359 (39.422)	Prec@5 69.531 (69.302)
Epoch: [89][1500/7045]	Time 0.106 (0.239)	Data 0.003 (0.168)	Loss 2.5015 (2.4878)	Prec@1 41.797 (39.419)	Prec@5 68.750 (69.289)
Epoch: [89][1510/7045]	Time 0.227 (0.239)	Data 0.175 (0.168)	Loss 2.4638 (2.4880)	Prec@1 44.141 (39.417)	Prec@5 68.359 (69.290)
Epoch: [89][1520/7045]	Time 0.102 (0.239)	Data 0.001 (0.168)	Loss 2.5503 (2.4877)	Prec@1 40.234 (39.430)	Prec@5 68.359 (69.301)
Epoch: [89][1530/7045]	Time 0.102 (0.239)	Data 0.004 (0.168)	Loss 2.5976 (2.4880)	Prec@1 39.844 (39.427)	Prec@5 66.406 (69.298)
Epoch: [89][1540/7045]	Time 0.102 (0.239)	Data 0.049 (0.168)	Loss 2.4592 (2.4880)	Prec@1 39.844 (39.423)	Prec@5 68.359 (69.298)
Epoch: [89][1550/7045]	Time 0.214 (0.239)	Data 0.162 (0.169)	Loss 2.4828 (2.4881)	Prec@1 37.891 (39.425)	Prec@5 69.531 (69.301)
Epoch: [89][1560/7045]	Time 0.112 (0.239)	Data 0.059 (0.169)	Loss 2.4754 (2.4880)	Prec@1 39.844 (39.422)	Prec@5 67.188 (69.310)
Epoch: [89][1570/7045]	Time 0.480 (0.239)	Data 0.423 (0.169)	Loss 2.6172 (2.4879)	Prec@1 41.016 (39.426)	Prec@5 66.016 (69.306)
Epoch: [89][1580/7045]	Time 0.102 (0.239)	Data 0.004 (0.169)	Loss 2.4147 (2.4879)	Prec@1 37.891 (39.428)	Prec@5 74.609 (69.309)
Epoch: [89][1590/7045]	Time 0.467 (0.239)	Data 0.403 (0.169)	Loss 2.5972 (2.4879)	Prec@1 35.156 (39.431)	Prec@5 66.406 (69.306)
Epoch: [89][1600/7045]	Time 0.153 (0.239)	Data 0.101 (0.169)	Loss 2.3902 (2.4880)	Prec@1 42.188 (39.432)	Prec@5 69.141 (69.301)
Epoch: [89][1610/7045]	Time 0.453 (0.239)	Data 0.401 (0.169)	Loss 2.4283 (2.4880)	Prec@1 41.016 (39.431)	Prec@5 75.000 (69.308)
Epoch: [89][1620/7045]	Time 0.399 (0.239)	Data 0.346 (0.169)	Loss 2.2762 (2.4880)	Prec@1 42.578 (39.430)	Prec@5 74.609 (69.308)
Epoch: [89][1630/7045]	Time 0.305 (0.239)	Data 0.252 (0.169)	Loss 2.5691 (2.4881)	Prec@1 36.719 (39.426)	Prec@5 68.359 (69.309)
Epoch: [89][1640/7045]	Time 0.343 (0.239)	Data 0.291 (0.169)	Loss 2.3417 (2.4879)	Prec@1 40.234 (39.423)	Prec@5 76.562 (69.314)
Epoch: [89][1650/7045]	Time 0.108 (0.239)	Data 0.001 (0.169)	Loss 2.3769 (2.4876)	Prec@1 39.453 (39.427)	Prec@5 69.922 (69.320)
Epoch: [89][1660/7045]	Time 0.269 (0.239)	Data 0.218 (0.169)	Loss 2.5020 (2.4875)	Prec@1 38.281 (39.434)	Prec@5 68.359 (69.319)
Epoch: [89][1670/7045]	Time 0.201 (0.239)	Data 0.148 (0.169)	Loss 2.3552 (2.4874)	Prec@1 41.016 (39.433)	Prec@5 73.828 (69.326)
Epoch: [89][1680/7045]	Time 0.102 (0.239)	Data 0.001 (0.169)	Loss 2.7495 (2.4875)	Prec@1 33.203 (39.427)	Prec@5 63.672 (69.324)
Epoch: [89][1690/7045]	Time 0.276 (0.239)	Data 0.224 (0.170)	Loss 2.5786 (2.4876)	Prec@1 37.891 (39.426)	Prec@5 68.750 (69.323)
Epoch: [89][1700/7045]	Time 0.390 (0.239)	Data 0.338 (0.170)	Loss 2.5395 (2.4881)	Prec@1 40.234 (39.414)	Prec@5 66.406 (69.311)
Epoch: [89][1710/7045]	Time 0.104 (0.239)	Data 0.001 (0.170)	Loss 2.4903 (2.4881)	Prec@1 35.156 (39.411)	Prec@5 67.188 (69.309)
Epoch: [89][1720/7045]	Time 0.320 (0.239)	Data 0.268 (0.170)	Loss 2.3577 (2.4877)	Prec@1 43.750 (39.418)	Prec@5 70.703 (69.316)
Epoch: [89][1730/7045]	Time 0.275 (0.239)	Data 0.222 (0.170)	Loss 2.4872 (2.4875)	Prec@1 37.500 (39.422)	Prec@5 67.578 (69.318)
Epoch: [89][1740/7045]	Time 0.109 (0.239)	Data 0.001 (0.170)	Loss 2.4650 (2.4872)	Prec@1 41.406 (39.429)	Prec@5 66.406 (69.323)
Epoch: [89][1750/7045]	Time 0.196 (0.239)	Data 0.143 (0.170)	Loss 2.2031 (2.4874)	Prec@1 44.922 (39.427)	Prec@5 75.391 (69.317)
Epoch: [89][1760/7045]	Time 0.298 (0.239)	Data 0.246 (0.170)	Loss 2.4877 (2.4875)	Prec@1 39.062 (39.418)	Prec@5 68.359 (69.310)
Epoch: [89][1770/7045]	Time 0.202 (0.239)	Data 0.150 (0.170)	Loss 2.3579 (2.4870)	Prec@1 44.531 (39.428)	Prec@5 71.094 (69.321)
Epoch: [89][1780/7045]	Time 0.242 (0.239)	Data 0.192 (0.170)	Loss 2.4211 (2.4868)	Prec@1 38.672 (39.437)	Prec@5 67.578 (69.320)
Epoch: [89][1790/7045]	Time 0.341 (0.239)	Data 0.288 (0.170)	Loss 2.5104 (2.4868)	Prec@1 41.016 (39.434)	Prec@5 68.750 (69.321)
Epoch: [89][1800/7045]	Time 0.111 (0.239)	Data 0.059 (0.170)	Loss 2.3631 (2.4867)	Prec@1 38.672 (39.431)	Prec@5 70.703 (69.318)
Epoch: [89][1810/7045]	Time 0.159 (0.239)	Data 0.107 (0.170)	Loss 2.1524 (2.4864)	Prec@1 50.000 (39.443)	Prec@5 74.609 (69.326)
Epoch: [89][1820/7045]	Time 0.244 (0.239)	Data 0.192 (0.171)	Loss 2.6336 (2.4866)	Prec@1 37.891 (39.437)	Prec@5 66.406 (69.323)
Epoch: [89][1830/7045]	Time 0.183 (0.239)	Data 0.132 (0.171)	Loss 2.3597 (2.4863)	Prec@1 41.016 (39.439)	Prec@5 71.875 (69.330)
Epoch: [89][1840/7045]	Time 0.106 (0.239)	Data 0.053 (0.171)	Loss 2.4420 (2.4864)	Prec@1 38.281 (39.439)	Prec@5 69.922 (69.328)
Epoch: [89][1850/7045]	Time 0.342 (0.239)	Data 0.290 (0.171)	Loss 2.3913 (2.4863)	Prec@1 37.109 (39.433)	Prec@5 72.266 (69.332)
Epoch: [89][1860/7045]	Time 0.329 (0.239)	Data 0.271 (0.171)	Loss 2.4580 (2.4864)	Prec@1 40.234 (39.436)	Prec@5 67.188 (69.327)
Epoch: [89][1870/7045]	Time 0.255 (0.239)	Data 0.202 (0.171)	Loss 2.3786 (2.4865)	Prec@1 41.406 (39.437)	Prec@5 71.484 (69.324)
Epoch: [89][1880/7045]	Time 0.381 (0.239)	Data 0.328 (0.171)	Loss 2.5215 (2.4867)	Prec@1 35.938 (39.428)	Prec@5 68.750 (69.326)
Epoch: [89][1890/7045]	Time 0.224 (0.239)	Data 0.171 (0.171)	Loss 2.2952 (2.4868)	Prec@1 42.188 (39.429)	Prec@5 72.656 (69.326)
Epoch: [89][1900/7045]	Time 0.105 (0.239)	Data 0.052 (0.171)	Loss 2.5342 (2.4871)	Prec@1 38.281 (39.423)	Prec@5 69.141 (69.318)
Epoch: [89][1910/7045]	Time 0.107 (0.239)	Data 0.001 (0.171)	Loss 2.4523 (2.4872)	Prec@1 39.453 (39.415)	Prec@5 67.969 (69.316)
Epoch: [89][1920/7045]	Time 0.344 (0.239)	Data 0.291 (0.171)	Loss 2.5334 (2.4873)	Prec@1 40.234 (39.417)	Prec@5 69.141 (69.317)
Epoch: [89][1930/7045]	Time 0.112 (0.239)	Data 0.060 (0.171)	Loss 2.5118 (2.4873)	Prec@1 38.281 (39.420)	Prec@5 71.094 (69.323)
Epoch: [89][1940/7045]	Time 0.639 (0.239)	Data 0.580 (0.171)	Loss 2.6760 (2.4874)	Prec@1 35.938 (39.421)	Prec@5 62.891 (69.322)
Epoch: [89][1950/7045]	Time 0.255 (0.239)	Data 0.202 (0.171)	Loss 2.5062 (2.4874)	Prec@1 40.234 (39.424)	Prec@5 69.531 (69.321)
Epoch: [89][1960/7045]	Time 0.366 (0.239)	Data 0.307 (0.171)	Loss 2.4351 (2.4874)	Prec@1 39.844 (39.426)	Prec@5 71.875 (69.327)
Epoch: [89][1970/7045]	Time 0.148 (0.239)	Data 0.096 (0.171)	Loss 2.4053 (2.4874)	Prec@1 42.188 (39.427)	Prec@5 71.094 (69.324)
Epoch: [89][1980/7045]	Time 0.167 (0.239)	Data 0.107 (0.172)	Loss 2.2786 (2.4874)	Prec@1 41.797 (39.431)	Prec@5 71.484 (69.322)
Epoch: [89][1990/7045]	Time 0.102 (0.239)	Data 0.001 (0.171)	Loss 2.6705 (2.4875)	Prec@1 40.234 (39.434)	Prec@5 62.109 (69.319)
Epoch: [89][2000/7045]	Time 0.110 (0.239)	Data 0.057 (0.172)	Loss 2.8210 (2.4878)	Prec@1 37.109 (39.436)	Prec@5 64.844 (69.309)
Epoch: [89][2010/7045]	Time 0.478 (0.239)	Data 0.425 (0.172)	Loss 2.3120 (2.4876)	Prec@1 42.188 (39.446)	Prec@5 72.656 (69.311)
Epoch: [89][2020/7045]	Time 0.108 (0.239)	Data 0.049 (0.172)	Loss 2.5054 (2.4878)	Prec@1 37.109 (39.441)	Prec@5 73.828 (69.309)
Epoch: [89][2030/7045]	Time 0.601 (0.240)	Data 0.547 (0.172)	Loss 2.5179 (2.4880)	Prec@1 43.359 (39.441)	Prec@5 66.797 (69.303)
Epoch: [89][2040/7045]	Time 0.183 (0.239)	Data 0.131 (0.172)	Loss 2.5960 (2.4882)	Prec@1 38.672 (39.438)	Prec@5 68.359 (69.303)
Epoch: [89][2050/7045]	Time 0.343 (0.239)	Data 0.292 (0.172)	Loss 2.5946 (2.4885)	Prec@1 35.547 (39.427)	Prec@5 67.188 (69.298)
Epoch: [89][2060/7045]	Time 0.102 (0.239)	Data 0.001 (0.172)	Loss 2.4734 (2.4886)	Prec@1 39.844 (39.427)	Prec@5 71.484 (69.295)
Epoch: [89][2070/7045]	Time 0.105 (0.240)	Data 0.052 (0.172)	Loss 2.5001 (2.4887)	Prec@1 40.625 (39.425)	Prec@5 66.016 (69.287)
Epoch: [89][2080/7045]	Time 0.103 (0.239)	Data 0.001 (0.172)	Loss 2.3290 (2.4890)	Prec@1 40.625 (39.416)	Prec@5 71.094 (69.279)
Epoch: [89][2090/7045]	Time 0.210 (0.240)	Data 0.158 (0.172)	Loss 2.5256 (2.4891)	Prec@1 39.453 (39.414)	Prec@5 68.750 (69.279)
Epoch: [89][2100/7045]	Time 0.421 (0.240)	Data 0.370 (0.172)	Loss 2.4892 (2.4889)	Prec@1 41.016 (39.418)	Prec@5 68.359 (69.281)
Epoch: [89][2110/7045]	Time 0.107 (0.240)	Data 0.054 (0.172)	Loss 2.4653 (2.4891)	Prec@1 38.672 (39.410)	Prec@5 68.750 (69.276)
Epoch: [89][2120/7045]	Time 0.585 (0.240)	Data 0.533 (0.172)	Loss 2.4911 (2.4891)	Prec@1 37.891 (39.410)	Prec@5 66.406 (69.273)
Epoch: [89][2130/7045]	Time 0.108 (0.240)	Data 0.008 (0.172)	Loss 2.3074 (2.4888)	Prec@1 41.406 (39.415)	Prec@5 71.484 (69.282)
Epoch: [89][2140/7045]	Time 0.342 (0.240)	Data 0.290 (0.172)	Loss 2.3959 (2.4889)	Prec@1 45.312 (39.420)	Prec@5 73.438 (69.284)
Epoch: [89][2150/7045]	Time 0.102 (0.240)	Data 0.003 (0.172)	Loss 2.5325 (2.4886)	Prec@1 37.891 (39.429)	Prec@5 69.922 (69.293)
Epoch: [89][2160/7045]	Time 0.109 (0.240)	Data 0.001 (0.172)	Loss 2.1885 (2.4883)	Prec@1 45.703 (39.427)	Prec@5 76.172 (69.298)
Epoch: [89][2170/7045]	Time 0.103 (0.240)	Data 0.001 (0.172)	Loss 2.3479 (2.4883)	Prec@1 39.453 (39.425)	Prec@5 71.094 (69.298)
Epoch: [89][2180/7045]	Time 0.174 (0.240)	Data 0.122 (0.172)	Loss 2.3627 (2.4886)	Prec@1 41.016 (39.415)	Prec@5 73.047 (69.297)
Epoch: [89][2190/7045]	Time 0.475 (0.240)	Data 0.422 (0.172)	Loss 2.5328 (2.4886)	Prec@1 37.109 (39.420)	Prec@5 67.578 (69.297)
Epoch: [89][2200/7045]	Time 0.122 (0.240)	Data 0.070 (0.172)	Loss 2.5214 (2.4887)	Prec@1 38.281 (39.417)	Prec@5 66.797 (69.295)
Epoch: [89][2210/7045]	Time 0.627 (0.240)	Data 0.575 (0.172)	Loss 2.6208 (2.4890)	Prec@1 33.594 (39.409)	Prec@5 66.016 (69.290)
Epoch: [89][2220/7045]	Time 0.102 (0.240)	Data 0.001 (0.172)	Loss 2.6698 (2.4891)	Prec@1 38.672 (39.409)	Prec@5 66.016 (69.286)
Epoch: [89][2230/7045]	Time 0.362 (0.240)	Data 0.309 (0.172)	Loss 2.4781 (2.4893)	Prec@1 40.625 (39.407)	Prec@5 69.922 (69.280)
Epoch: [89][2240/7045]	Time 0.102 (0.240)	Data 0.001 (0.172)	Loss 2.3878 (2.4890)	Prec@1 40.234 (39.416)	Prec@5 70.312 (69.284)
Epoch: [89][2250/7045]	Time 0.193 (0.240)	Data 0.141 (0.172)	Loss 2.4801 (2.4888)	Prec@1 37.500 (39.417)	Prec@5 68.750 (69.286)
Epoch: [89][2260/7045]	Time 0.107 (0.240)	Data 0.053 (0.172)	Loss 2.5969 (2.4891)	Prec@1 35.938 (39.410)	Prec@5 72.266 (69.283)
Epoch: [89][2270/7045]	Time 0.200 (0.240)	Data 0.141 (0.172)	Loss 2.6681 (2.4893)	Prec@1 39.453 (39.403)	Prec@5 69.531 (69.284)
Epoch: [89][2280/7045]	Time 0.271 (0.240)	Data 0.220 (0.172)	Loss 2.5317 (2.4893)	Prec@1 36.719 (39.400)	Prec@5 69.141 (69.282)
Epoch: [89][2290/7045]	Time 0.240 (0.240)	Data 0.188 (0.172)	Loss 2.5131 (2.4894)	Prec@1 38.281 (39.402)	Prec@5 71.094 (69.281)
Epoch: [89][2300/7045]	Time 0.452 (0.240)	Data 0.401 (0.172)	Loss 2.5155 (2.4896)	Prec@1 38.281 (39.396)	Prec@5 67.969 (69.277)
Epoch: [89][2310/7045]	Time 0.243 (0.240)	Data 0.192 (0.172)	Loss 2.5298 (2.4894)	Prec@1 37.891 (39.395)	Prec@5 70.312 (69.281)
Epoch: [89][2320/7045]	Time 0.652 (0.240)	Data 0.599 (0.172)	Loss 2.6313 (2.4894)	Prec@1 39.844 (39.402)	Prec@5 69.531 (69.284)
Epoch: [89][2330/7045]	Time 0.139 (0.240)	Data 0.087 (0.172)	Loss 2.4173 (2.4895)	Prec@1 39.453 (39.401)	Prec@5 69.141 (69.282)
Epoch: [89][2340/7045]	Time 0.549 (0.240)	Data 0.498 (0.172)	Loss 2.4227 (2.4895)	Prec@1 45.312 (39.400)	Prec@5 71.094 (69.281)
Epoch: [89][2350/7045]	Time 0.103 (0.240)	Data 0.002 (0.172)	Loss 2.2098 (2.4896)	Prec@1 41.406 (39.402)	Prec@5 76.953 (69.281)
Epoch: [89][2360/7045]	Time 0.481 (0.240)	Data 0.429 (0.172)	Loss 2.5299 (2.4896)	Prec@1 38.281 (39.398)	Prec@5 69.922 (69.281)
Epoch: [89][2370/7045]	Time 0.100 (0.240)	Data 0.001 (0.172)	Loss 2.5484 (2.4895)	Prec@1 37.500 (39.405)	Prec@5 65.625 (69.281)
Epoch: [89][2380/7045]	Time 0.367 (0.240)	Data 0.316 (0.172)	Loss 2.4538 (2.4896)	Prec@1 40.625 (39.403)	Prec@5 71.875 (69.278)
Epoch: [89][2390/7045]	Time 0.102 (0.240)	Data 0.002 (0.172)	Loss 2.5518 (2.4896)	Prec@1 36.719 (39.402)	Prec@5 68.750 (69.279)
Epoch: [89][2400/7045]	Time 0.515 (0.240)	Data 0.461 (0.172)	Loss 2.4972 (2.4895)	Prec@1 38.672 (39.403)	Prec@5 71.094 (69.280)
Epoch: [89][2410/7045]	Time 0.109 (0.240)	Data 0.055 (0.172)	Loss 2.4678 (2.4895)	Prec@1 39.844 (39.405)	Prec@5 72.266 (69.283)
Epoch: [89][2420/7045]	Time 0.525 (0.240)	Data 0.474 (0.172)	Loss 2.5091 (2.4896)	Prec@1 39.844 (39.412)	Prec@5 71.484 (69.282)
Epoch: [89][2430/7045]	Time 0.102 (0.240)	Data 0.007 (0.172)	Loss 2.4080 (2.4896)	Prec@1 41.797 (39.417)	Prec@5 70.703 (69.282)
Epoch: [89][2440/7045]	Time 0.518 (0.240)	Data 0.466 (0.172)	Loss 2.4614 (2.4896)	Prec@1 39.062 (39.419)	Prec@5 69.531 (69.285)
Epoch: [89][2450/7045]	Time 0.103 (0.240)	Data 0.003 (0.172)	Loss 2.6431 (2.4898)	Prec@1 35.938 (39.414)	Prec@5 65.625 (69.281)
Epoch: [89][2460/7045]	Time 0.520 (0.240)	Data 0.468 (0.172)	Loss 2.5530 (2.4898)	Prec@1 35.156 (39.411)	Prec@5 67.969 (69.282)
Epoch: [89][2470/7045]	Time 0.102 (0.240)	Data 0.004 (0.172)	Loss 2.4976 (2.4896)	Prec@1 38.281 (39.412)	Prec@5 69.141 (69.281)
Epoch: [89][2480/7045]	Time 0.537 (0.240)	Data 0.485 (0.172)	Loss 2.4455 (2.4897)	Prec@1 39.062 (39.411)	Prec@5 69.141 (69.276)
Epoch: [89][2490/7045]	Time 0.102 (0.240)	Data 0.005 (0.172)	Loss 2.5264 (2.4899)	Prec@1 36.328 (39.408)	Prec@5 69.922 (69.271)
Epoch: [89][2500/7045]	Time 0.557 (0.240)	Data 0.505 (0.172)	Loss 2.3058 (2.4899)	Prec@1 43.359 (39.403)	Prec@5 70.703 (69.271)
Epoch: [89][2510/7045]	Time 0.101 (0.240)	Data 0.001 (0.171)	Loss 2.3441 (2.4899)	Prec@1 43.359 (39.407)	Prec@5 71.875 (69.271)
Epoch: [89][2520/7045]	Time 0.560 (0.240)	Data 0.508 (0.172)	Loss 2.3083 (2.4895)	Prec@1 42.578 (39.407)	Prec@5 70.703 (69.279)
Epoch: [89][2530/7045]	Time 0.112 (0.239)	Data 0.059 (0.171)	Loss 2.6623 (2.4895)	Prec@1 34.766 (39.402)	Prec@5 68.359 (69.282)
Epoch: [89][2540/7045]	Time 0.555 (0.240)	Data 0.504 (0.172)	Loss 2.5098 (2.4895)	Prec@1 37.109 (39.403)	Prec@5 69.141 (69.281)
Epoch: [89][2550/7045]	Time 0.122 (0.239)	Data 0.071 (0.171)	Loss 2.6027 (2.4896)	Prec@1 34.375 (39.397)	Prec@5 66.797 (69.276)
Epoch: [89][2560/7045]	Time 0.592 (0.240)	Data 0.534 (0.172)	Loss 2.4575 (2.4897)	Prec@1 38.672 (39.391)	Prec@5 69.531 (69.276)
Epoch: [89][2570/7045]	Time 0.165 (0.239)	Data 0.113 (0.171)	Loss 2.5974 (2.4897)	Prec@1 37.500 (39.389)	Prec@5 66.406 (69.277)
Epoch: [89][2580/7045]	Time 0.588 (0.240)	Data 0.528 (0.172)	Loss 2.3326 (2.4900)	Prec@1 44.922 (39.383)	Prec@5 70.703 (69.270)
Epoch: [89][2590/7045]	Time 0.167 (0.239)	Data 0.115 (0.171)	Loss 2.5169 (2.4899)	Prec@1 39.453 (39.386)	Prec@5 66.406 (69.272)
Epoch: [89][2600/7045]	Time 0.474 (0.239)	Data 0.422 (0.172)	Loss 2.4608 (2.4900)	Prec@1 39.453 (39.383)	Prec@5 72.656 (69.272)
Epoch: [89][2610/7045]	Time 0.202 (0.239)	Data 0.150 (0.171)	Loss 2.3658 (2.4898)	Prec@1 41.797 (39.386)	Prec@5 71.875 (69.273)
Epoch: [89][2620/7045]	Time 0.523 (0.239)	Data 0.464 (0.172)	Loss 2.3764 (2.4899)	Prec@1 41.406 (39.386)	Prec@5 68.359 (69.270)
Epoch: [89][2630/7045]	Time 0.182 (0.239)	Data 0.129 (0.171)	Loss 2.4283 (2.4901)	Prec@1 39.844 (39.382)	Prec@5 69.531 (69.264)
Epoch: [89][2640/7045]	Time 0.618 (0.239)	Data 0.566 (0.172)	Loss 2.4759 (2.4900)	Prec@1 37.891 (39.383)	Prec@5 69.922 (69.264)
Epoch: [89][2650/7045]	Time 0.147 (0.239)	Data 0.094 (0.171)	Loss 2.5267 (2.4900)	Prec@1 39.844 (39.383)	Prec@5 67.969 (69.263)
Epoch: [89][2660/7045]	Time 0.563 (0.239)	Data 0.510 (0.171)	Loss 2.3450 (2.4900)	Prec@1 39.062 (39.382)	Prec@5 74.609 (69.261)
Epoch: [89][2670/7045]	Time 0.168 (0.239)	Data 0.115 (0.171)	Loss 2.3204 (2.4901)	Prec@1 42.578 (39.380)	Prec@5 72.266 (69.257)
Epoch: [89][2680/7045]	Time 0.624 (0.239)	Data 0.571 (0.171)	Loss 2.8351 (2.4903)	Prec@1 32.812 (39.378)	Prec@5 65.625 (69.254)
Epoch: [89][2690/7045]	Time 0.212 (0.239)	Data 0.161 (0.171)	Loss 2.6481 (2.4906)	Prec@1 34.766 (39.374)	Prec@5 69.531 (69.248)
Epoch: [89][2700/7045]	Time 0.517 (0.239)	Data 0.466 (0.171)	Loss 2.6208 (2.4906)	Prec@1 37.500 (39.376)	Prec@5 64.844 (69.251)
Epoch: [89][2710/7045]	Time 0.235 (0.239)	Data 0.183 (0.171)	Loss 2.0909 (2.4904)	Prec@1 50.391 (39.384)	Prec@5 75.000 (69.253)
Epoch: [89][2720/7045]	Time 0.539 (0.239)	Data 0.487 (0.171)	Loss 2.3366 (2.4904)	Prec@1 41.016 (39.384)	Prec@5 69.922 (69.255)
Epoch: [89][2730/7045]	Time 0.343 (0.239)	Data 0.291 (0.171)	Loss 2.4541 (2.4904)	Prec@1 38.672 (39.383)	Prec@5 71.484 (69.255)
Epoch: [89][2740/7045]	Time 0.446 (0.239)	Data 0.394 (0.171)	Loss 2.5425 (2.4904)	Prec@1 37.500 (39.384)	Prec@5 70.312 (69.254)
Epoch: [89][2750/7045]	Time 0.303 (0.239)	Data 0.251 (0.171)	Loss 2.4653 (2.4903)	Prec@1 41.016 (39.387)	Prec@5 67.578 (69.253)
Epoch: [89][2760/7045]	Time 0.450 (0.239)	Data 0.399 (0.171)	Loss 2.4566 (2.4905)	Prec@1 39.844 (39.384)	Prec@5 71.094 (69.249)
Epoch: [89][2770/7045]	Time 0.297 (0.239)	Data 0.245 (0.171)	Loss 2.5336 (2.4904)	Prec@1 39.062 (39.387)	Prec@5 69.531 (69.255)
Epoch: [89][2780/7045]	Time 0.392 (0.239)	Data 0.333 (0.171)	Loss 2.4641 (2.4903)	Prec@1 40.625 (39.389)	Prec@5 69.531 (69.255)
Epoch: [89][2790/7045]	Time 0.299 (0.239)	Data 0.248 (0.171)	Loss 2.4196 (2.4900)	Prec@1 43.359 (39.396)	Prec@5 68.359 (69.259)
Epoch: [89][2800/7045]	Time 0.352 (0.239)	Data 0.300 (0.171)	Loss 2.5491 (2.4903)	Prec@1 39.062 (39.391)	Prec@5 67.969 (69.254)
Epoch: [89][2810/7045]	Time 0.318 (0.239)	Data 0.261 (0.171)	Loss 2.6305 (2.4903)	Prec@1 38.281 (39.392)	Prec@5 67.188 (69.252)
Epoch: [89][2820/7045]	Time 0.376 (0.239)	Data 0.323 (0.171)	Loss 2.6220 (2.4903)	Prec@1 39.844 (39.395)	Prec@5 66.016 (69.251)
Epoch: [89][2830/7045]	Time 0.323 (0.239)	Data 0.272 (0.171)	Loss 2.3915 (2.4903)	Prec@1 39.453 (39.394)	Prec@5 73.047 (69.253)
Epoch: [89][2840/7045]	Time 0.302 (0.239)	Data 0.249 (0.171)	Loss 2.3679 (2.4903)	Prec@1 41.016 (39.400)	Prec@5 73.047 (69.254)
Epoch: [89][2850/7045]	Time 0.320 (0.239)	Data 0.269 (0.171)	Loss 2.3898 (2.4902)	Prec@1 43.750 (39.405)	Prec@5 71.094 (69.253)
Epoch: [89][2860/7045]	Time 0.267 (0.239)	Data 0.215 (0.171)	Loss 2.5635 (2.4902)	Prec@1 37.891 (39.407)	Prec@5 68.359 (69.253)
Epoch: [89][2870/7045]	Time 0.268 (0.239)	Data 0.216 (0.171)	Loss 2.6625 (2.4903)	Prec@1 35.156 (39.405)	Prec@5 66.016 (69.254)
Epoch: [89][2880/7045]	Time 0.253 (0.239)	Data 0.202 (0.171)	Loss 2.6475 (2.4902)	Prec@1 39.844 (39.405)	Prec@5 65.234 (69.257)
Epoch: [89][2890/7045]	Time 0.255 (0.239)	Data 0.204 (0.171)	Loss 2.4665 (2.4902)	Prec@1 41.406 (39.404)	Prec@5 71.484 (69.254)
Epoch: [89][2900/7045]	Time 0.215 (0.239)	Data 0.163 (0.171)	Loss 2.3879 (2.4903)	Prec@1 42.578 (39.404)	Prec@5 70.703 (69.255)
Epoch: [89][2910/7045]	Time 0.253 (0.239)	Data 0.201 (0.171)	Loss 2.4555 (2.4902)	Prec@1 37.891 (39.405)	Prec@5 68.750 (69.258)
Epoch: [89][2920/7045]	Time 0.212 (0.239)	Data 0.160 (0.171)	Loss 2.4054 (2.4901)	Prec@1 41.797 (39.407)	Prec@5 71.094 (69.260)
Epoch: [89][2930/7045]	Time 0.253 (0.239)	Data 0.201 (0.171)	Loss 2.3675 (2.4900)	Prec@1 37.500 (39.407)	Prec@5 73.047 (69.260)
Epoch: [89][2940/7045]	Time 0.239 (0.239)	Data 0.188 (0.171)	Loss 2.4325 (2.4901)	Prec@1 40.234 (39.407)	Prec@5 70.703 (69.261)
Epoch: [89][2950/7045]	Time 0.266 (0.239)	Data 0.215 (0.171)	Loss 2.3143 (2.4900)	Prec@1 39.844 (39.410)	Prec@5 70.312 (69.263)
Epoch: [89][2960/7045]	Time 0.198 (0.239)	Data 0.146 (0.171)	Loss 2.5488 (2.4899)	Prec@1 37.891 (39.408)	Prec@5 70.312 (69.268)
Epoch: [89][2970/7045]	Time 0.252 (0.239)	Data 0.200 (0.171)	Loss 2.4385 (2.4899)	Prec@1 44.922 (39.410)	Prec@5 70.312 (69.271)
Epoch: [89][2980/7045]	Time 0.187 (0.239)	Data 0.135 (0.171)	Loss 2.4229 (2.4898)	Prec@1 39.062 (39.409)	Prec@5 64.453 (69.271)
Epoch: [89][2990/7045]	Time 0.366 (0.239)	Data 0.313 (0.171)	Loss 2.5231 (2.4898)	Prec@1 42.188 (39.411)	Prec@5 70.703 (69.272)
Epoch: [89][3000/7045]	Time 0.149 (0.239)	Data 0.097 (0.171)	Loss 2.5566 (2.4899)	Prec@1 41.797 (39.413)	Prec@5 67.969 (69.268)
Epoch: [89][3010/7045]	Time 0.328 (0.239)	Data 0.277 (0.171)	Loss 2.3972 (2.4900)	Prec@1 38.672 (39.410)	Prec@5 70.703 (69.267)
Epoch: [89][3020/7045]	Time 0.111 (0.239)	Data 0.059 (0.171)	Loss 2.2969 (2.4900)	Prec@1 41.016 (39.406)	Prec@5 73.047 (69.268)
Epoch: [89][3030/7045]	Time 0.343 (0.239)	Data 0.290 (0.171)	Loss 2.4901 (2.4899)	Prec@1 40.234 (39.411)	Prec@5 71.094 (69.272)
Epoch: [89][3040/7045]	Time 0.170 (0.239)	Data 0.118 (0.171)	Loss 2.1936 (2.4899)	Prec@1 44.141 (39.410)	Prec@5 72.656 (69.272)
Epoch: [89][3050/7045]	Time 0.381 (0.239)	Data 0.329 (0.171)	Loss 2.2371 (2.4899)	Prec@1 42.578 (39.409)	Prec@5 76.562 (69.274)
Epoch: [89][3060/7045]	Time 0.125 (0.239)	Data 0.072 (0.171)	Loss 2.5553 (2.4898)	Prec@1 37.500 (39.409)	Prec@5 67.188 (69.276)
Epoch: [89][3070/7045]	Time 0.374 (0.239)	Data 0.321 (0.171)	Loss 2.3290 (2.4896)	Prec@1 42.578 (39.409)	Prec@5 74.219 (69.279)
Epoch: [89][3080/7045]	Time 0.106 (0.239)	Data 0.053 (0.171)	Loss 2.2848 (2.4898)	Prec@1 47.266 (39.408)	Prec@5 74.609 (69.276)
Epoch: [89][3090/7045]	Time 0.355 (0.239)	Data 0.303 (0.171)	Loss 2.3966 (2.4899)	Prec@1 42.188 (39.406)	Prec@5 69.531 (69.271)
Epoch: [89][3100/7045]	Time 0.110 (0.239)	Data 0.058 (0.171)	Loss 2.7000 (2.4901)	Prec@1 35.547 (39.404)	Prec@5 66.406 (69.268)
Epoch: [89][3110/7045]	Time 0.387 (0.239)	Data 0.335 (0.171)	Loss 2.4660 (2.4900)	Prec@1 40.234 (39.404)	Prec@5 71.484 (69.269)
Epoch: [89][3120/7045]	Time 0.102 (0.239)	Data 0.001 (0.171)	Loss 2.4043 (2.4900)	Prec@1 40.234 (39.402)	Prec@5 71.875 (69.269)
Epoch: [89][3130/7045]	Time 0.405 (0.239)	Data 0.353 (0.171)	Loss 2.4334 (2.4900)	Prec@1 37.500 (39.401)	Prec@5 69.141 (69.269)
Epoch: [89][3140/7045]	Time 0.102 (0.239)	Data 0.001 (0.171)	Loss 2.4549 (2.4902)	Prec@1 38.672 (39.399)	Prec@5 69.141 (69.262)
Epoch: [89][3150/7045]	Time 0.394 (0.239)	Data 0.342 (0.171)	Loss 2.4326 (2.4903)	Prec@1 40.234 (39.396)	Prec@5 67.578 (69.260)
Epoch: [89][3160/7045]	Time 0.102 (0.239)	Data 0.001 (0.171)	Loss 2.6238 (2.4903)	Prec@1 35.938 (39.397)	Prec@5 67.188 (69.263)
Epoch: [89][3170/7045]	Time 0.419 (0.239)	Data 0.367 (0.171)	Loss 2.4913 (2.4905)	Prec@1 37.109 (39.397)	Prec@5 67.969 (69.259)
Epoch: [89][3180/7045]	Time 0.107 (0.239)	Data 0.055 (0.171)	Loss 2.5359 (2.4904)	Prec@1 37.109 (39.397)	Prec@5 69.922 (69.262)
Epoch: [89][3190/7045]	Time 0.431 (0.239)	Data 0.379 (0.171)	Loss 2.2676 (2.4903)	Prec@1 42.188 (39.400)	Prec@5 74.219 (69.266)
Epoch: [89][3200/7045]	Time 0.103 (0.239)	Data 0.005 (0.171)	Loss 2.3343 (2.4903)	Prec@1 40.234 (39.400)	Prec@5 69.531 (69.264)
Epoch: [89][3210/7045]	Time 0.407 (0.239)	Data 0.354 (0.171)	Loss 2.4689 (2.4902)	Prec@1 39.062 (39.402)	Prec@5 71.094 (69.266)
Epoch: [89][3220/7045]	Time 0.102 (0.239)	Data 0.005 (0.171)	Loss 2.4401 (2.4901)	Prec@1 40.625 (39.401)	Prec@5 67.969 (69.268)
Epoch: [89][3230/7045]	Time 0.413 (0.239)	Data 0.361 (0.171)	Loss 2.6050 (2.4902)	Prec@1 35.938 (39.396)	Prec@5 65.625 (69.265)
Epoch: [89][3240/7045]	Time 0.102 (0.239)	Data 0.002 (0.171)	Loss 2.5131 (2.4903)	Prec@1 40.234 (39.394)	Prec@5 67.188 (69.264)
Epoch: [89][3250/7045]	Time 0.368 (0.239)	Data 0.316 (0.171)	Loss 2.4591 (2.4903)	Prec@1 39.453 (39.397)	Prec@5 71.094 (69.262)
Epoch: [89][3260/7045]	Time 0.102 (0.239)	Data 0.001 (0.171)	Loss 2.4750 (2.4902)	Prec@1 37.500 (39.399)	Prec@5 70.703 (69.266)
Epoch: [89][3270/7045]	Time 0.349 (0.239)	Data 0.296 (0.171)	Loss 2.7365 (2.4903)	Prec@1 35.938 (39.395)	Prec@5 66.797 (69.262)
Epoch: [89][3280/7045]	Time 0.140 (0.239)	Data 0.087 (0.171)	Loss 2.3931 (2.4902)	Prec@1 40.625 (39.398)	Prec@5 69.922 (69.264)
Epoch: [89][3290/7045]	Time 0.317 (0.239)	Data 0.265 (0.171)	Loss 2.3613 (2.4903)	Prec@1 40.625 (39.395)	Prec@5 72.656 (69.263)
Epoch: [89][3300/7045]	Time 0.107 (0.239)	Data 0.054 (0.171)	Loss 2.5365 (2.4903)	Prec@1 37.891 (39.394)	Prec@5 70.312 (69.263)
Epoch: [89][3310/7045]	Time 0.295 (0.239)	Data 0.242 (0.171)	Loss 2.4841 (2.4904)	Prec@1 37.500 (39.394)	Prec@5 71.094 (69.263)
Epoch: [89][3320/7045]	Time 0.104 (0.239)	Data 0.001 (0.171)	Loss 2.4305 (2.4903)	Prec@1 37.109 (39.394)	Prec@5 71.484 (69.264)
Epoch: [89][3330/7045]	Time 0.309 (0.239)	Data 0.257 (0.171)	Loss 2.4922 (2.4902)	Prec@1 40.234 (39.396)	Prec@5 70.312 (69.263)
Epoch: [89][3340/7045]	Time 0.103 (0.239)	Data 0.001 (0.171)	Loss 2.3954 (2.4901)	Prec@1 37.500 (39.397)	Prec@5 69.141 (69.265)
Epoch: [89][3350/7045]	Time 0.302 (0.239)	Data 0.250 (0.171)	Loss 2.5049 (2.4903)	Prec@1 36.328 (39.390)	Prec@5 70.312 (69.260)
Epoch: [89][3360/7045]	Time 0.102 (0.239)	Data 0.001 (0.171)	Loss 2.5162 (2.4902)	Prec@1 39.062 (39.390)	Prec@5 70.703 (69.261)
Epoch: [89][3370/7045]	Time 0.342 (0.239)	Data 0.290 (0.171)	Loss 2.3922 (2.4901)	Prec@1 37.500 (39.389)	Prec@5 71.875 (69.264)
Epoch: [89][3380/7045]	Time 0.108 (0.239)	Data 0.004 (0.171)	Loss 2.4978 (2.4901)	Prec@1 37.891 (39.388)	Prec@5 68.750 (69.262)
Epoch: [89][3390/7045]	Time 0.291 (0.239)	Data 0.239 (0.171)	Loss 2.4864 (2.4901)	Prec@1 37.109 (39.385)	Prec@5 69.531 (69.260)
Epoch: [89][3400/7045]	Time 0.106 (0.239)	Data 0.052 (0.171)	Loss 2.4866 (2.4904)	Prec@1 41.797 (39.380)	Prec@5 69.141 (69.253)
Epoch: [89][3410/7045]	Time 0.297 (0.239)	Data 0.246 (0.171)	Loss 2.4660 (2.4904)	Prec@1 37.109 (39.378)	Prec@5 69.141 (69.257)
Epoch: [89][3420/7045]	Time 0.111 (0.239)	Data 0.052 (0.171)	Loss 2.5650 (2.4904)	Prec@1 39.453 (39.380)	Prec@5 64.844 (69.256)
Epoch: [89][3430/7045]	Time 0.289 (0.239)	Data 0.236 (0.171)	Loss 2.4971 (2.4903)	Prec@1 40.234 (39.379)	Prec@5 71.484 (69.259)
Epoch: [89][3440/7045]	Time 0.109 (0.239)	Data 0.046 (0.171)	Loss 2.6226 (2.4905)	Prec@1 35.547 (39.376)	Prec@5 67.578 (69.258)
Epoch: [89][3450/7045]	Time 0.295 (0.239)	Data 0.242 (0.171)	Loss 2.6432 (2.4905)	Prec@1 35.547 (39.376)	Prec@5 66.406 (69.257)
Epoch: [89][3460/7045]	Time 0.119 (0.239)	Data 0.059 (0.171)	Loss 2.6277 (2.4905)	Prec@1 38.281 (39.377)	Prec@5 69.531 (69.259)
Epoch: [89][3470/7045]	Time 0.288 (0.239)	Data 0.236 (0.171)	Loss 2.3397 (2.4906)	Prec@1 40.234 (39.373)	Prec@5 73.828 (69.257)
Epoch: [89][3480/7045]	Time 0.113 (0.239)	Data 0.053 (0.171)	Loss 2.4307 (2.4907)	Prec@1 39.453 (39.371)	Prec@5 68.359 (69.254)
Epoch: [89][3490/7045]	Time 0.245 (0.239)	Data 0.194 (0.171)	Loss 2.5188 (2.4908)	Prec@1 37.500 (39.366)	Prec@5 68.359 (69.249)
Epoch: [89][3500/7045]	Time 0.112 (0.239)	Data 0.059 (0.171)	Loss 2.4859 (2.4908)	Prec@1 41.406 (39.365)	Prec@5 70.703 (69.250)
Epoch: [89][3510/7045]	Time 0.203 (0.239)	Data 0.151 (0.171)	Loss 2.5955 (2.4908)	Prec@1 35.547 (39.361)	Prec@5 65.234 (69.250)
Epoch: [89][3520/7045]	Time 0.111 (0.239)	Data 0.058 (0.172)	Loss 2.2831 (2.4906)	Prec@1 42.578 (39.362)	Prec@5 73.828 (69.253)
Epoch: [89][3530/7045]	Time 0.213 (0.239)	Data 0.161 (0.172)	Loss 2.5682 (2.4905)	Prec@1 37.891 (39.365)	Prec@5 67.188 (69.257)
Epoch: [89][3540/7045]	Time 0.110 (0.239)	Data 0.058 (0.172)	Loss 2.7783 (2.4906)	Prec@1 36.328 (39.365)	Prec@5 67.578 (69.254)
Epoch: [89][3550/7045]	Time 0.165 (0.239)	Data 0.113 (0.172)	Loss 2.4587 (2.4906)	Prec@1 40.625 (39.365)	Prec@5 68.750 (69.252)
Epoch: [89][3560/7045]	Time 0.151 (0.239)	Data 0.100 (0.172)	Loss 2.4102 (2.4907)	Prec@1 39.453 (39.363)	Prec@5 71.094 (69.252)
Epoch: [89][3570/7045]	Time 0.151 (0.239)	Data 0.099 (0.172)	Loss 2.4970 (2.4906)	Prec@1 42.188 (39.366)	Prec@5 68.359 (69.257)
Epoch: [89][3580/7045]	Time 0.192 (0.239)	Data 0.140 (0.172)	Loss 2.4531 (2.4904)	Prec@1 38.672 (39.366)	Prec@5 69.141 (69.261)
Epoch: [89][3590/7045]	Time 0.164 (0.239)	Data 0.111 (0.172)	Loss 2.5483 (2.4904)	Prec@1 39.844 (39.367)	Prec@5 64.453 (69.259)
Epoch: [89][3600/7045]	Time 0.194 (0.239)	Data 0.143 (0.172)	Loss 2.6802 (2.4906)	Prec@1 38.281 (39.363)	Prec@5 68.750 (69.256)
Epoch: [89][3610/7045]	Time 0.161 (0.239)	Data 0.109 (0.172)	Loss 2.4808 (2.4907)	Prec@1 41.406 (39.363)	Prec@5 73.438 (69.257)
Epoch: [89][3620/7045]	Time 0.270 (0.239)	Data 0.219 (0.172)	Loss 2.2928 (2.4906)	Prec@1 45.312 (39.363)	Prec@5 72.266 (69.259)
Epoch: [89][3630/7045]	Time 0.161 (0.239)	Data 0.109 (0.172)	Loss 2.4446 (2.4905)	Prec@1 38.672 (39.363)	Prec@5 73.828 (69.258)
Epoch: [89][3640/7045]	Time 0.359 (0.239)	Data 0.300 (0.172)	Loss 2.4809 (2.4905)	Prec@1 41.016 (39.362)	Prec@5 69.922 (69.260)
Epoch: [89][3650/7045]	Time 0.104 (0.239)	Data 0.050 (0.172)	Loss 2.3334 (2.4905)	Prec@1 39.844 (39.363)	Prec@5 71.484 (69.258)
Epoch: [89][3660/7045]	Time 0.388 (0.239)	Data 0.330 (0.172)	Loss 2.3042 (2.4906)	Prec@1 41.797 (39.360)	Prec@5 69.141 (69.255)
Epoch: [89][3670/7045]	Time 0.108 (0.239)	Data 0.055 (0.172)	Loss 2.5075 (2.4905)	Prec@1 35.547 (39.362)	Prec@5 68.359 (69.258)
Epoch: [89][3680/7045]	Time 0.453 (0.239)	Data 0.400 (0.172)	Loss 2.1791 (2.4904)	Prec@1 44.141 (39.364)	Prec@5 73.047 (69.259)
Epoch: [89][3690/7045]	Time 0.110 (0.239)	Data 0.059 (0.172)	Loss 2.4658 (2.4904)	Prec@1 39.844 (39.362)	Prec@5 68.359 (69.260)
Epoch: [89][3700/7045]	Time 0.480 (0.239)	Data 0.426 (0.172)	Loss 2.4547 (2.4905)	Prec@1 35.938 (39.363)	Prec@5 74.219 (69.259)
Epoch: [89][3710/7045]	Time 0.111 (0.239)	Data 0.059 (0.172)	Loss 2.4735 (2.4905)	Prec@1 39.844 (39.365)	Prec@5 71.094 (69.259)
Epoch: [89][3720/7045]	Time 0.468 (0.239)	Data 0.417 (0.172)	Loss 2.3832 (2.4904)	Prec@1 37.500 (39.363)	Prec@5 73.047 (69.261)
Epoch: [89][3730/7045]	Time 0.103 (0.239)	Data 0.001 (0.172)	Loss 2.5205 (2.4905)	Prec@1 39.453 (39.363)	Prec@5 70.703 (69.258)
Epoch: [89][3740/7045]	Time 0.488 (0.239)	Data 0.436 (0.172)	Loss 2.5052 (2.4905)	Prec@1 37.109 (39.362)	Prec@5 66.797 (69.255)
Epoch: [89][3750/7045]	Time 0.103 (0.239)	Data 0.001 (0.172)	Loss 2.5383 (2.4905)	Prec@1 40.234 (39.361)	Prec@5 64.453 (69.254)
Epoch: [89][3760/7045]	Time 0.521 (0.239)	Data 0.469 (0.172)	Loss 2.3794 (2.4906)	Prec@1 38.672 (39.363)	Prec@5 73.438 (69.254)
Epoch: [89][3770/7045]	Time 0.102 (0.239)	Data 0.001 (0.172)	Loss 2.4383 (2.4905)	Prec@1 41.016 (39.366)	Prec@5 71.094 (69.253)
Epoch: [89][3780/7045]	Time 0.467 (0.239)	Data 0.414 (0.172)	Loss 2.3491 (2.4904)	Prec@1 40.625 (39.369)	Prec@5 70.703 (69.255)
Epoch: [89][3790/7045]	Time 0.102 (0.239)	Data 0.001 (0.172)	Loss 2.3870 (2.4905)	Prec@1 44.141 (39.372)	Prec@5 69.922 (69.253)
Epoch: [89][3800/7045]	Time 0.487 (0.239)	Data 0.437 (0.172)	Loss 2.5605 (2.4905)	Prec@1 34.766 (39.372)	Prec@5 68.750 (69.253)
Epoch: [89][3810/7045]	Time 0.102 (0.239)	Data 0.001 (0.172)	Loss 2.6131 (2.4905)	Prec@1 40.234 (39.375)	Prec@5 66.406 (69.253)
Epoch: [89][3820/7045]	Time 0.451 (0.239)	Data 0.399 (0.172)	Loss 2.6163 (2.4904)	Prec@1 38.672 (39.373)	Prec@5 64.062 (69.253)
Epoch: [89][3830/7045]	Time 0.112 (0.239)	Data 0.059 (0.172)	Loss 2.4161 (2.4903)	Prec@1 39.062 (39.378)	Prec@5 71.875 (69.256)
Epoch: [89][3840/7045]	Time 0.522 (0.239)	Data 0.463 (0.172)	Loss 2.4351 (2.4901)	Prec@1 39.844 (39.380)	Prec@5 73.047 (69.259)
Epoch: [89][3850/7045]	Time 0.107 (0.239)	Data 0.054 (0.172)	Loss 2.5761 (2.4902)	Prec@1 38.281 (39.378)	Prec@5 68.750 (69.261)
Epoch: [89][3860/7045]	Time 0.358 (0.239)	Data 0.307 (0.172)	Loss 2.5320 (2.4902)	Prec@1 37.109 (39.379)	Prec@5 66.016 (69.263)
Epoch: [89][3870/7045]	Time 0.110 (0.239)	Data 0.058 (0.172)	Loss 2.5205 (2.4903)	Prec@1 40.234 (39.377)	Prec@5 71.875 (69.263)
Epoch: [89][3880/7045]	Time 0.291 (0.239)	Data 0.240 (0.172)	Loss 2.5963 (2.4902)	Prec@1 37.891 (39.376)	Prec@5 67.188 (69.265)
Epoch: [89][3890/7045]	Time 0.164 (0.239)	Data 0.112 (0.172)	Loss 2.4366 (2.4904)	Prec@1 40.625 (39.371)	Prec@5 69.531 (69.260)
Epoch: [89][3900/7045]	Time 0.269 (0.239)	Data 0.211 (0.172)	Loss 2.4500 (2.4903)	Prec@1 38.281 (39.375)	Prec@5 71.484 (69.262)
Epoch: [89][3910/7045]	Time 0.141 (0.239)	Data 0.088 (0.172)	Loss 2.3676 (2.4902)	Prec@1 39.844 (39.377)	Prec@5 73.438 (69.266)
Epoch: [89][3920/7045]	Time 0.290 (0.239)	Data 0.238 (0.172)	Loss 2.4994 (2.4900)	Prec@1 41.016 (39.381)	Prec@5 67.578 (69.268)
Epoch: [89][3930/7045]	Time 0.136 (0.238)	Data 0.084 (0.172)	Loss 2.4255 (2.4900)	Prec@1 43.359 (39.381)	Prec@5 72.266 (69.268)
Epoch: [89][3940/7045]	Time 0.429 (0.239)	Data 0.368 (0.172)	Loss 2.5642 (2.4900)	Prec@1 36.719 (39.381)	Prec@5 67.969 (69.267)
Epoch: [89][3950/7045]	Time 0.103 (0.238)	Data 0.007 (0.172)	Loss 2.4256 (2.4900)	Prec@1 37.109 (39.381)	Prec@5 68.359 (69.265)
Epoch: [89][3960/7045]	Time 0.344 (0.239)	Data 0.292 (0.172)	Loss 2.3646 (2.4901)	Prec@1 40.234 (39.379)	Prec@5 67.969 (69.261)
Epoch: [89][3970/7045]	Time 0.103 (0.238)	Data 0.049 (0.172)	Loss 2.5244 (2.4901)	Prec@1 37.891 (39.381)	Prec@5 67.188 (69.263)
Epoch: [89][3980/7045]	Time 0.369 (0.239)	Data 0.317 (0.172)	Loss 2.7795 (2.4901)	Prec@1 37.109 (39.383)	Prec@5 65.234 (69.263)
Epoch: [89][3990/7045]	Time 0.112 (0.238)	Data 0.059 (0.172)	Loss 2.5094 (2.4901)	Prec@1 38.672 (39.383)	Prec@5 68.359 (69.262)
Epoch: [89][4000/7045]	Time 0.385 (0.239)	Data 0.333 (0.172)	Loss 2.4807 (2.4903)	Prec@1 39.453 (39.382)	Prec@5 67.969 (69.259)
Epoch: [89][4010/7045]	Time 0.111 (0.238)	Data 0.058 (0.172)	Loss 2.6288 (2.4901)	Prec@1 33.984 (39.383)	Prec@5 67.578 (69.262)
Epoch: [89][4020/7045]	Time 0.413 (0.239)	Data 0.360 (0.172)	Loss 2.4820 (2.4901)	Prec@1 44.141 (39.385)	Prec@5 69.922 (69.261)
Epoch: [89][4030/7045]	Time 0.109 (0.238)	Data 0.057 (0.172)	Loss 2.3899 (2.4900)	Prec@1 42.969 (39.387)	Prec@5 71.875 (69.263)
Epoch: [89][4040/7045]	Time 0.408 (0.239)	Data 0.356 (0.172)	Loss 2.3716 (2.4900)	Prec@1 42.969 (39.385)	Prec@5 72.656 (69.262)
Epoch: [89][4050/7045]	Time 0.112 (0.238)	Data 0.059 (0.172)	Loss 2.5323 (2.4900)	Prec@1 40.625 (39.389)	Prec@5 71.484 (69.265)
Epoch: [89][4060/7045]	Time 0.401 (0.239)	Data 0.350 (0.172)	Loss 2.4240 (2.4900)	Prec@1 37.500 (39.385)	Prec@5 71.094 (69.267)
Epoch: [89][4070/7045]	Time 0.111 (0.238)	Data 0.058 (0.172)	Loss 2.2994 (2.4899)	Prec@1 44.141 (39.385)	Prec@5 71.875 (69.267)
Epoch: [89][4080/7045]	Time 0.396 (0.238)	Data 0.345 (0.172)	Loss 2.4620 (2.4899)	Prec@1 38.281 (39.382)	Prec@5 67.969 (69.266)
Epoch: [89][4090/7045]	Time 0.104 (0.238)	Data 0.052 (0.172)	Loss 2.2379 (2.4901)	Prec@1 41.797 (39.376)	Prec@5 75.391 (69.262)
Epoch: [89][4100/7045]	Time 0.410 (0.238)	Data 0.358 (0.172)	Loss 2.2333 (2.4899)	Prec@1 43.750 (39.380)	Prec@5 74.219 (69.262)
Epoch: [89][4110/7045]	Time 0.134 (0.238)	Data 0.081 (0.172)	Loss 2.4350 (2.4900)	Prec@1 41.797 (39.378)	Prec@5 71.484 (69.262)
Epoch: [89][4120/7045]	Time 0.400 (0.238)	Data 0.343 (0.172)	Loss 2.5079 (2.4901)	Prec@1 39.062 (39.376)	Prec@5 70.703 (69.261)
Epoch: [89][4130/7045]	Time 0.153 (0.238)	Data 0.102 (0.172)	Loss 2.5981 (2.4900)	Prec@1 36.719 (39.376)	Prec@5 66.406 (69.263)
Epoch: [89][4140/7045]	Time 0.402 (0.238)	Data 0.350 (0.172)	Loss 2.4151 (2.4901)	Prec@1 39.453 (39.375)	Prec@5 71.094 (69.262)
Epoch: [89][4150/7045]	Time 0.129 (0.238)	Data 0.077 (0.172)	Loss 2.6420 (2.4903)	Prec@1 35.938 (39.373)	Prec@5 63.672 (69.260)
Epoch: [89][4160/7045]	Time 0.390 (0.238)	Data 0.338 (0.172)	Loss 2.3530 (2.4902)	Prec@1 41.797 (39.373)	Prec@5 71.875 (69.262)
Epoch: [89][4170/7045]	Time 0.173 (0.238)	Data 0.121 (0.172)	Loss 2.3910 (2.4903)	Prec@1 39.844 (39.370)	Prec@5 70.312 (69.261)
Epoch: [89][4180/7045]	Time 0.341 (0.238)	Data 0.289 (0.172)	Loss 2.3409 (2.4903)	Prec@1 41.797 (39.371)	Prec@5 68.750 (69.259)
Epoch: [89][4190/7045]	Time 0.200 (0.238)	Data 0.148 (0.172)	Loss 2.4546 (2.4904)	Prec@1 41.797 (39.371)	Prec@5 69.922 (69.259)
Epoch: [89][4200/7045]	Time 0.348 (0.238)	Data 0.291 (0.172)	Loss 2.4181 (2.4903)	Prec@1 42.578 (39.374)	Prec@5 69.922 (69.260)
Epoch: [89][4210/7045]	Time 0.255 (0.238)	Data 0.204 (0.172)	Loss 2.6175 (2.4903)	Prec@1 33.203 (39.374)	Prec@5 67.188 (69.261)
Epoch: [89][4220/7045]	Time 0.317 (0.238)	Data 0.265 (0.172)	Loss 2.5307 (2.4903)	Prec@1 36.719 (39.375)	Prec@5 70.703 (69.261)
Epoch: [89][4230/7045]	Time 0.232 (0.238)	Data 0.181 (0.172)	Loss 2.5360 (2.4905)	Prec@1 37.500 (39.370)	Prec@5 69.141 (69.256)
Epoch: [89][4240/7045]	Time 0.330 (0.238)	Data 0.277 (0.172)	Loss 2.8749 (2.4906)	Prec@1 31.250 (39.370)	Prec@5 58.984 (69.252)
Epoch: [89][4250/7045]	Time 0.256 (0.238)	Data 0.205 (0.172)	Loss 2.7973 (2.4907)	Prec@1 33.984 (39.369)	Prec@5 62.109 (69.250)
Epoch: [89][4260/7045]	Time 0.301 (0.238)	Data 0.250 (0.172)	Loss 2.6511 (2.4909)	Prec@1 36.719 (39.368)	Prec@5 68.750 (69.246)
Epoch: [89][4270/7045]	Time 0.258 (0.238)	Data 0.206 (0.172)	Loss 2.3554 (2.4910)	Prec@1 45.312 (39.365)	Prec@5 73.047 (69.243)
Epoch: [89][4280/7045]	Time 0.326 (0.238)	Data 0.275 (0.172)	Loss 2.5725 (2.4908)	Prec@1 39.453 (39.367)	Prec@5 67.188 (69.245)
Epoch: [89][4290/7045]	Time 0.224 (0.238)	Data 0.172 (0.172)	Loss 2.5285 (2.4911)	Prec@1 40.234 (39.361)	Prec@5 66.406 (69.241)
Epoch: [89][4300/7045]	Time 0.311 (0.238)	Data 0.259 (0.172)	Loss 2.5351 (2.4911)	Prec@1 34.766 (39.356)	Prec@5 71.094 (69.239)
Epoch: [89][4310/7045]	Time 0.212 (0.238)	Data 0.160 (0.172)	Loss 2.4684 (2.4911)	Prec@1 43.359 (39.357)	Prec@5 68.359 (69.240)
Epoch: [89][4320/7045]	Time 0.274 (0.238)	Data 0.222 (0.172)	Loss 2.3884 (2.4909)	Prec@1 40.625 (39.359)	Prec@5 73.047 (69.243)
Epoch: [89][4330/7045]	Time 0.211 (0.238)	Data 0.160 (0.172)	Loss 2.5654 (2.4909)	Prec@1 35.938 (39.360)	Prec@5 66.406 (69.243)
Epoch: [89][4340/7045]	Time 0.244 (0.238)	Data 0.193 (0.172)	Loss 2.5287 (2.4910)	Prec@1 34.766 (39.357)	Prec@5 68.359 (69.243)
Epoch: [89][4350/7045]	Time 0.102 (0.238)	Data 0.005 (0.172)	Loss 2.5375 (2.4911)	Prec@1 40.234 (39.354)	Prec@5 67.578 (69.240)
Epoch: [89][4360/7045]	Time 0.235 (0.238)	Data 0.182 (0.172)	Loss 2.6869 (2.4913)	Prec@1 33.594 (39.349)	Prec@5 66.406 (69.239)
Epoch: [89][4370/7045]	Time 0.102 (0.238)	Data 0.006 (0.172)	Loss 2.5629 (2.4916)	Prec@1 39.453 (39.344)	Prec@5 71.875 (69.233)
Epoch: [89][4380/7045]	Time 0.223 (0.238)	Data 0.170 (0.172)	Loss 2.5997 (2.4917)	Prec@1 36.719 (39.343)	Prec@5 65.625 (69.232)
Epoch: [89][4390/7045]	Time 0.102 (0.238)	Data 0.041 (0.172)	Loss 2.4512 (2.4916)	Prec@1 38.672 (39.347)	Prec@5 71.094 (69.235)
Epoch: [89][4400/7045]	Time 0.198 (0.238)	Data 0.146 (0.172)	Loss 2.4608 (2.4916)	Prec@1 41.797 (39.345)	Prec@5 67.969 (69.235)
Epoch: [89][4410/7045]	Time 0.105 (0.238)	Data 0.052 (0.172)	Loss 2.3917 (2.4915)	Prec@1 42.969 (39.348)	Prec@5 71.094 (69.237)
Epoch: [89][4420/7045]	Time 0.208 (0.238)	Data 0.156 (0.172)	Loss 2.5109 (2.4914)	Prec@1 38.281 (39.349)	Prec@5 69.922 (69.238)
Epoch: [89][4430/7045]	Time 0.102 (0.238)	Data 0.006 (0.172)	Loss 2.5763 (2.4915)	Prec@1 39.453 (39.346)	Prec@5 67.188 (69.237)
Epoch: [89][4440/7045]	Time 0.146 (0.238)	Data 0.094 (0.172)	Loss 2.6724 (2.4917)	Prec@1 37.109 (39.344)	Prec@5 69.141 (69.236)
Epoch: [89][4450/7045]	Time 0.136 (0.238)	Data 0.084 (0.173)	Loss 2.5359 (2.4917)	Prec@1 43.359 (39.343)	Prec@5 68.359 (69.234)
Epoch: [89][4460/7045]	Time 0.184 (0.238)	Data 0.132 (0.173)	Loss 2.3980 (2.4918)	Prec@1 41.406 (39.342)	Prec@5 69.141 (69.231)
Epoch: [89][4470/7045]	Time 0.184 (0.238)	Data 0.131 (0.173)	Loss 2.6618 (2.4918)	Prec@1 33.984 (39.339)	Prec@5 69.141 (69.233)
Epoch: [89][4480/7045]	Time 0.165 (0.238)	Data 0.114 (0.173)	Loss 2.3691 (2.4918)	Prec@1 42.969 (39.341)	Prec@5 70.312 (69.234)
Epoch: [89][4490/7045]	Time 0.169 (0.238)	Data 0.117 (0.173)	Loss 2.6308 (2.4917)	Prec@1 37.500 (39.340)	Prec@5 66.406 (69.235)
Epoch: [89][4500/7045]	Time 0.182 (0.238)	Data 0.130 (0.173)	Loss 2.4383 (2.4917)	Prec@1 39.844 (39.341)	Prec@5 70.703 (69.235)
Epoch: [89][4510/7045]	Time 0.152 (0.238)	Data 0.100 (0.173)	Loss 2.4597 (2.4917)	Prec@1 39.062 (39.341)	Prec@5 73.047 (69.238)
Epoch: [89][4520/7045]	Time 0.131 (0.238)	Data 0.080 (0.173)	Loss 2.6411 (2.4917)	Prec@1 40.234 (39.340)	Prec@5 63.281 (69.237)
Epoch: [89][4530/7045]	Time 0.126 (0.238)	Data 0.074 (0.173)	Loss 2.3220 (2.4918)	Prec@1 41.797 (39.340)	Prec@5 73.438 (69.237)
Epoch: [89][4540/7045]	Time 0.100 (0.238)	Data 0.005 (0.173)	Loss 2.5991 (2.4919)	Prec@1 39.453 (39.338)	Prec@5 67.188 (69.234)
Epoch: [89][4550/7045]	Time 0.103 (0.238)	Data 0.051 (0.173)	Loss 2.5125 (2.4920)	Prec@1 36.719 (39.339)	Prec@5 67.188 (69.229)
Epoch: [89][4560/7045]	Time 0.104 (0.238)	Data 0.051 (0.173)	Loss 2.5592 (2.4920)	Prec@1 35.156 (39.336)	Prec@5 68.750 (69.230)
Epoch: [89][4570/7045]	Time 0.133 (0.238)	Data 0.081 (0.173)	Loss 2.3725 (2.4920)	Prec@1 39.062 (39.333)	Prec@5 66.797 (69.227)
Epoch: [89][4580/7045]	Time 0.102 (0.238)	Data 0.001 (0.173)	Loss 2.3273 (2.4921)	Prec@1 43.750 (39.331)	Prec@5 70.312 (69.225)
Epoch: [89][4590/7045]	Time 0.161 (0.238)	Data 0.110 (0.173)	Loss 2.6418 (2.4921)	Prec@1 37.109 (39.330)	Prec@5 66.797 (69.225)
Epoch: [89][4600/7045]	Time 0.101 (0.238)	Data 0.043 (0.173)	Loss 2.4826 (2.4921)	Prec@1 35.547 (39.326)	Prec@5 70.703 (69.227)
Epoch: [89][4610/7045]	Time 0.154 (0.238)	Data 0.101 (0.173)	Loss 2.5496 (2.4921)	Prec@1 33.203 (39.324)	Prec@5 66.016 (69.225)
Epoch: [89][4620/7045]	Time 0.126 (0.238)	Data 0.075 (0.173)	Loss 2.5916 (2.4921)	Prec@1 32.031 (39.325)	Prec@5 69.531 (69.226)
Epoch: [89][4630/7045]	Time 0.123 (0.238)	Data 0.071 (0.173)	Loss 2.7048 (2.4922)	Prec@1 37.500 (39.324)	Prec@5 66.406 (69.224)
Epoch: [89][4640/7045]	Time 0.101 (0.238)	Data 0.044 (0.173)	Loss 2.5572 (2.4923)	Prec@1 36.719 (39.322)	Prec@5 69.141 (69.224)
Epoch: [89][4650/7045]	Time 0.116 (0.238)	Data 0.062 (0.173)	Loss 2.6363 (2.4923)	Prec@1 35.938 (39.319)	Prec@5 69.922 (69.227)
Epoch: [89][4660/7045]	Time 0.103 (0.238)	Data 0.045 (0.173)	Loss 2.6373 (2.4922)	Prec@1 35.547 (39.317)	Prec@5 69.531 (69.228)
Epoch: [89][4670/7045]	Time 0.121 (0.238)	Data 0.069 (0.173)	Loss 2.6214 (2.4924)	Prec@1 37.500 (39.312)	Prec@5 66.016 (69.225)
Epoch: [89][4680/7045]	Time 0.101 (0.238)	Data 0.042 (0.173)	Loss 2.5157 (2.4923)	Prec@1 37.891 (39.314)	Prec@5 66.406 (69.228)
Epoch: [89][4690/7045]	Time 0.106 (0.238)	Data 0.052 (0.173)	Loss 2.5797 (2.4925)	Prec@1 38.281 (39.311)	Prec@5 64.844 (69.224)
Epoch: [89][4700/7045]	Time 0.258 (0.238)	Data 0.205 (0.173)	Loss 2.3844 (2.4925)	Prec@1 38.281 (39.308)	Prec@5 68.750 (69.224)
Epoch: [89][4710/7045]	Time 0.102 (0.238)	Data 0.044 (0.173)	Loss 2.5145 (2.4926)	Prec@1 39.844 (39.306)	Prec@5 70.703 (69.224)
Epoch: [89][4720/7045]	Time 0.490 (0.238)	Data 0.438 (0.173)	Loss 2.4043 (2.4926)	Prec@1 41.406 (39.304)	Prec@5 68.359 (69.222)
Epoch: [89][4730/7045]	Time 0.107 (0.238)	Data 0.054 (0.173)	Loss 2.5475 (2.4926)	Prec@1 39.453 (39.305)	Prec@5 68.359 (69.222)
Epoch: [89][4740/7045]	Time 0.579 (0.238)	Data 0.522 (0.173)	Loss 2.5090 (2.4925)	Prec@1 35.938 (39.306)	Prec@5 69.922 (69.225)
Epoch: [89][4750/7045]	Time 0.101 (0.238)	Data 0.001 (0.173)	Loss 2.5599 (2.4925)	Prec@1 35.938 (39.307)	Prec@5 69.922 (69.224)
Epoch: [89][4760/7045]	Time 0.587 (0.238)	Data 0.535 (0.173)	Loss 2.4163 (2.4925)	Prec@1 44.141 (39.305)	Prec@5 71.094 (69.225)
Epoch: [89][4770/7045]	Time 0.107 (0.238)	Data 0.054 (0.173)	Loss 2.5493 (2.4926)	Prec@1 40.625 (39.304)	Prec@5 68.750 (69.226)
Epoch: [89][4780/7045]	Time 0.435 (0.238)	Data 0.382 (0.173)	Loss 2.3915 (2.4926)	Prec@1 42.969 (39.305)	Prec@5 66.406 (69.224)
Epoch: [89][4790/7045]	Time 0.147 (0.238)	Data 0.095 (0.173)	Loss 2.3084 (2.4926)	Prec@1 41.406 (39.305)	Prec@5 71.094 (69.223)
Epoch: [89][4800/7045]	Time 0.216 (0.238)	Data 0.163 (0.173)	Loss 2.6360 (2.4928)	Prec@1 39.844 (39.303)	Prec@5 63.281 (69.220)
Epoch: [89][4810/7045]	Time 0.121 (0.238)	Data 0.070 (0.173)	Loss 2.3926 (2.4927)	Prec@1 38.672 (39.307)	Prec@5 72.266 (69.221)
Epoch: [89][4820/7045]	Time 0.102 (0.238)	Data 0.001 (0.173)	Loss 2.4449 (2.4928)	Prec@1 39.453 (39.306)	Prec@5 67.188 (69.218)
Epoch: [89][4830/7045]	Time 0.108 (0.238)	Data 0.055 (0.173)	Loss 2.3693 (2.4927)	Prec@1 41.016 (39.308)	Prec@5 71.484 (69.219)
Epoch: [89][4840/7045]	Time 0.165 (0.238)	Data 0.106 (0.173)	Loss 2.5947 (2.4927)	Prec@1 37.109 (39.309)	Prec@5 65.234 (69.220)
Epoch: [89][4850/7045]	Time 0.102 (0.238)	Data 0.001 (0.173)	Loss 2.4335 (2.4927)	Prec@1 40.625 (39.310)	Prec@5 68.359 (69.221)
Epoch: [89][4860/7045]	Time 0.185 (0.238)	Data 0.127 (0.173)	Loss 2.5508 (2.4928)	Prec@1 37.500 (39.310)	Prec@5 66.797 (69.219)
Epoch: [89][4870/7045]	Time 0.278 (0.238)	Data 0.226 (0.173)	Loss 2.5955 (2.4928)	Prec@1 35.156 (39.309)	Prec@5 67.578 (69.216)
Epoch: [89][4880/7045]	Time 0.218 (0.238)	Data 0.167 (0.173)	Loss 2.6533 (2.4928)	Prec@1 33.984 (39.310)	Prec@5 67.969 (69.218)
Epoch: [89][4890/7045]	Time 0.458 (0.238)	Data 0.407 (0.173)	Loss 2.5685 (2.4928)	Prec@1 41.016 (39.311)	Prec@5 66.016 (69.218)
Epoch: [89][4900/7045]	Time 0.187 (0.238)	Data 0.134 (0.173)	Loss 2.5207 (2.4927)	Prec@1 40.234 (39.314)	Prec@5 70.312 (69.220)
Epoch: [89][4910/7045]	Time 0.705 (0.238)	Data 0.644 (0.173)	Loss 2.3867 (2.4927)	Prec@1 39.844 (39.315)	Prec@5 74.219 (69.221)
Epoch: [89][4920/7045]	Time 0.108 (0.238)	Data 0.005 (0.173)	Loss 2.4233 (2.4928)	Prec@1 43.359 (39.313)	Prec@5 71.094 (69.221)
Epoch: [89][4930/7045]	Time 0.583 (0.238)	Data 0.525 (0.173)	Loss 2.5803 (2.4928)	Prec@1 39.062 (39.314)	Prec@5 67.969 (69.218)
Epoch: [89][4940/7045]	Time 0.175 (0.238)	Data 0.124 (0.173)	Loss 2.4642 (2.4929)	Prec@1 40.625 (39.315)	Prec@5 73.438 (69.218)
Epoch: [89][4950/7045]	Time 0.616 (0.238)	Data 0.565 (0.173)	Loss 2.6044 (2.4928)	Prec@1 34.375 (39.316)	Prec@5 68.359 (69.219)
Epoch: [89][4960/7045]	Time 0.119 (0.238)	Data 0.059 (0.173)	Loss 2.4402 (2.4927)	Prec@1 41.016 (39.319)	Prec@5 75.000 (69.224)
Epoch: [89][4970/7045]	Time 0.598 (0.238)	Data 0.546 (0.173)	Loss 2.6206 (2.4928)	Prec@1 37.891 (39.318)	Prec@5 68.359 (69.224)
Epoch: [89][4980/7045]	Time 0.158 (0.238)	Data 0.100 (0.173)	Loss 2.4418 (2.4928)	Prec@1 39.844 (39.317)	Prec@5 69.531 (69.224)
Epoch: [89][4990/7045]	Time 0.592 (0.238)	Data 0.540 (0.173)	Loss 2.2492 (2.4927)	Prec@1 42.969 (39.319)	Prec@5 73.047 (69.222)
Epoch: [89][5000/7045]	Time 0.108 (0.238)	Data 0.055 (0.173)	Loss 2.4738 (2.4927)	Prec@1 40.625 (39.320)	Prec@5 67.578 (69.221)
Epoch: [89][5010/7045]	Time 0.606 (0.238)	Data 0.554 (0.173)	Loss 2.4982 (2.4927)	Prec@1 41.016 (39.320)	Prec@5 68.359 (69.222)
Epoch: [89][5020/7045]	Time 0.169 (0.238)	Data 0.111 (0.173)	Loss 2.2397 (2.4927)	Prec@1 40.234 (39.321)	Prec@5 76.953 (69.224)
Epoch: [89][5030/7045]	Time 0.554 (0.238)	Data 0.502 (0.173)	Loss 2.5650 (2.4928)	Prec@1 37.109 (39.319)	Prec@5 67.188 (69.220)
Epoch: [89][5040/7045]	Time 0.193 (0.238)	Data 0.141 (0.173)	Loss 2.5399 (2.4928)	Prec@1 33.984 (39.318)	Prec@5 71.484 (69.219)
Epoch: [89][5050/7045]	Time 0.569 (0.238)	Data 0.509 (0.173)	Loss 2.5303 (2.4928)	Prec@1 34.766 (39.314)	Prec@5 69.922 (69.219)
Epoch: [89][5060/7045]	Time 0.205 (0.238)	Data 0.154 (0.173)	Loss 2.6712 (2.4928)	Prec@1 38.672 (39.314)	Prec@5 64.062 (69.220)
Epoch: [89][5070/7045]	Time 0.472 (0.238)	Data 0.420 (0.173)	Loss 2.4230 (2.4930)	Prec@1 41.797 (39.311)	Prec@5 68.750 (69.217)
Epoch: [89][5080/7045]	Time 0.232 (0.238)	Data 0.179 (0.173)	Loss 2.3297 (2.4929)	Prec@1 44.141 (39.314)	Prec@5 75.391 (69.220)
Epoch: [89][5090/7045]	Time 0.483 (0.238)	Data 0.431 (0.173)	Loss 2.4650 (2.4929)	Prec@1 36.328 (39.313)	Prec@5 69.531 (69.220)
Epoch: [89][5100/7045]	Time 0.182 (0.238)	Data 0.130 (0.173)	Loss 2.3503 (2.4928)	Prec@1 44.141 (39.315)	Prec@5 74.219 (69.221)
Epoch: [89][5110/7045]	Time 0.427 (0.238)	Data 0.375 (0.173)	Loss 2.2786 (2.4928)	Prec@1 44.531 (39.314)	Prec@5 71.094 (69.221)
Epoch: [89][5120/7045]	Time 0.193 (0.238)	Data 0.135 (0.173)	Loss 2.2904 (2.4927)	Prec@1 42.188 (39.312)	Prec@5 69.922 (69.221)
Epoch: [89][5130/7045]	Time 0.422 (0.238)	Data 0.370 (0.173)	Loss 2.3851 (2.4928)	Prec@1 43.359 (39.312)	Prec@5 71.875 (69.220)
Epoch: [89][5140/7045]	Time 0.150 (0.238)	Data 0.091 (0.173)	Loss 2.5051 (2.4927)	Prec@1 40.234 (39.312)	Prec@5 70.703 (69.223)
Epoch: [89][5150/7045]	Time 0.534 (0.238)	Data 0.483 (0.173)	Loss 2.6079 (2.4928)	Prec@1 37.109 (39.308)	Prec@5 69.922 (69.223)
Epoch: [89][5160/7045]	Time 0.107 (0.238)	Data 0.050 (0.173)	Loss 2.5654 (2.4929)	Prec@1 37.500 (39.306)	Prec@5 69.922 (69.224)
Epoch: [89][5170/7045]	Time 0.598 (0.238)	Data 0.538 (0.173)	Loss 2.3045 (2.4928)	Prec@1 39.844 (39.306)	Prec@5 73.828 (69.226)
Epoch: [89][5180/7045]	Time 0.110 (0.238)	Data 0.007 (0.173)	Loss 2.5934 (2.4927)	Prec@1 38.281 (39.306)	Prec@5 67.969 (69.226)
Epoch: [89][5190/7045]	Time 0.579 (0.238)	Data 0.527 (0.173)	Loss 2.4469 (2.4928)	Prec@1 40.625 (39.306)	Prec@5 70.703 (69.225)
Epoch: [89][5200/7045]	Time 0.109 (0.238)	Data 0.004 (0.173)	Loss 2.6678 (2.4928)	Prec@1 34.375 (39.308)	Prec@5 65.625 (69.225)
Epoch: [89][5210/7045]	Time 0.558 (0.238)	Data 0.506 (0.173)	Loss 2.6995 (2.4929)	Prec@1 33.594 (39.308)	Prec@5 61.719 (69.221)
Epoch: [89][5220/7045]	Time 0.101 (0.238)	Data 0.003 (0.173)	Loss 2.4811 (2.4928)	Prec@1 39.453 (39.310)	Prec@5 66.797 (69.221)
Epoch: [89][5230/7045]	Time 0.551 (0.238)	Data 0.499 (0.173)	Loss 2.5213 (2.4928)	Prec@1 39.844 (39.309)	Prec@5 70.312 (69.224)
Epoch: [89][5240/7045]	Time 0.101 (0.238)	Data 0.005 (0.173)	Loss 2.5533 (2.4927)	Prec@1 41.016 (39.312)	Prec@5 67.969 (69.226)
Epoch: [89][5250/7045]	Time 0.504 (0.238)	Data 0.451 (0.173)	Loss 2.4668 (2.4928)	Prec@1 39.453 (39.310)	Prec@5 72.266 (69.223)
Epoch: [89][5260/7045]	Time 0.102 (0.238)	Data 0.005 (0.173)	Loss 2.6132 (2.4929)	Prec@1 35.156 (39.308)	Prec@5 66.406 (69.223)
Epoch: [89][5270/7045]	Time 0.368 (0.238)	Data 0.315 (0.173)	Loss 2.3846 (2.4930)	Prec@1 42.969 (39.308)	Prec@5 70.312 (69.219)
Epoch: [89][5280/7045]	Time 0.101 (0.238)	Data 0.007 (0.173)	Loss 2.4029 (2.4929)	Prec@1 40.625 (39.310)	Prec@5 70.312 (69.220)
Epoch: [89][5290/7045]	Time 0.399 (0.238)	Data 0.347 (0.173)	Loss 2.4557 (2.4929)	Prec@1 38.672 (39.310)	Prec@5 69.141 (69.220)
Epoch: [89][5300/7045]	Time 0.102 (0.238)	Data 0.006 (0.173)	Loss 2.4095 (2.4928)	Prec@1 40.234 (39.311)	Prec@5 71.094 (69.221)
Epoch: [89][5310/7045]	Time 0.385 (0.238)	Data 0.334 (0.173)	Loss 2.6384 (2.4928)	Prec@1 41.797 (39.314)	Prec@5 63.672 (69.219)
Epoch: [89][5320/7045]	Time 0.109 (0.238)	Data 0.055 (0.173)	Loss 2.4959 (2.4928)	Prec@1 41.406 (39.315)	Prec@5 67.969 (69.216)
Epoch: [89][5330/7045]	Time 0.312 (0.238)	Data 0.259 (0.173)	Loss 2.6323 (2.4928)	Prec@1 33.594 (39.315)	Prec@5 67.578 (69.216)
Epoch: [89][5340/7045]	Time 0.108 (0.238)	Data 0.055 (0.173)	Loss 2.5098 (2.4928)	Prec@1 39.453 (39.316)	Prec@5 69.922 (69.216)
Epoch: [89][5350/7045]	Time 0.254 (0.238)	Data 0.203 (0.173)	Loss 2.5248 (2.4930)	Prec@1 37.891 (39.312)	Prec@5 68.750 (69.213)
Epoch: [89][5360/7045]	Time 0.108 (0.238)	Data 0.055 (0.173)	Loss 2.4601 (2.4931)	Prec@1 38.281 (39.310)	Prec@5 70.312 (69.210)
Epoch: [89][5370/7045]	Time 0.270 (0.238)	Data 0.218 (0.173)	Loss 2.4928 (2.4931)	Prec@1 39.453 (39.310)	Prec@5 67.969 (69.209)
Epoch: [89][5380/7045]	Time 0.107 (0.238)	Data 0.053 (0.173)	Loss 2.4998 (2.4931)	Prec@1 40.234 (39.309)	Prec@5 69.531 (69.211)
Epoch: [89][5390/7045]	Time 0.201 (0.238)	Data 0.149 (0.173)	Loss 2.6742 (2.4932)	Prec@1 39.453 (39.310)	Prec@5 68.359 (69.210)
Epoch: [89][5400/7045]	Time 0.133 (0.238)	Data 0.081 (0.173)	Loss 2.6510 (2.4931)	Prec@1 37.891 (39.310)	Prec@5 65.625 (69.210)
Epoch: [89][5410/7045]	Time 0.177 (0.238)	Data 0.125 (0.173)	Loss 2.4929 (2.4931)	Prec@1 40.625 (39.312)	Prec@5 68.359 (69.210)
Epoch: [89][5420/7045]	Time 0.153 (0.238)	Data 0.101 (0.173)	Loss 2.2257 (2.4930)	Prec@1 44.531 (39.314)	Prec@5 74.609 (69.213)
Epoch: [89][5430/7045]	Time 0.179 (0.238)	Data 0.126 (0.173)	Loss 2.4864 (2.4931)	Prec@1 42.969 (39.314)	Prec@5 70.312 (69.212)
Epoch: [89][5440/7045]	Time 0.204 (0.238)	Data 0.152 (0.173)	Loss 2.3222 (2.4931)	Prec@1 43.750 (39.316)	Prec@5 71.875 (69.211)
Epoch: [89][5450/7045]	Time 0.138 (0.238)	Data 0.086 (0.173)	Loss 2.5973 (2.4932)	Prec@1 39.062 (39.313)	Prec@5 69.531 (69.209)
Epoch: [89][5460/7045]	Time 0.255 (0.238)	Data 0.204 (0.173)	Loss 2.5019 (2.4932)	Prec@1 37.891 (39.315)	Prec@5 67.969 (69.209)
Epoch: [89][5470/7045]	Time 0.139 (0.238)	Data 0.086 (0.173)	Loss 2.3683 (2.4933)	Prec@1 42.969 (39.313)	Prec@5 74.219 (69.209)
Epoch: [89][5480/7045]	Time 0.206 (0.238)	Data 0.154 (0.173)	Loss 2.6604 (2.4933)	Prec@1 34.375 (39.311)	Prec@5 66.797 (69.207)
Epoch: [89][5490/7045]	Time 0.108 (0.238)	Data 0.055 (0.173)	Loss 2.5630 (2.4934)	Prec@1 37.500 (39.312)	Prec@5 67.578 (69.204)
Epoch: [89][5500/7045]	Time 0.208 (0.238)	Data 0.156 (0.173)	Loss 2.5200 (2.4934)	Prec@1 33.594 (39.311)	Prec@5 70.703 (69.204)
Epoch: [89][5510/7045]	Time 0.106 (0.238)	Data 0.053 (0.173)	Loss 2.5256 (2.4934)	Prec@1 37.109 (39.311)	Prec@5 67.969 (69.204)
Epoch: [89][5520/7045]	Time 0.216 (0.238)	Data 0.164 (0.173)	Loss 2.3759 (2.4932)	Prec@1 40.625 (39.314)	Prec@5 69.531 (69.206)
Epoch: [89][5530/7045]	Time 0.111 (0.238)	Data 0.001 (0.173)	Loss 2.4907 (2.4933)	Prec@1 39.062 (39.311)	Prec@5 70.312 (69.205)
Epoch: [89][5540/7045]	Time 0.254 (0.238)	Data 0.203 (0.173)	Loss 2.5654 (2.4932)	Prec@1 37.109 (39.312)	Prec@5 69.531 (69.207)
Epoch: [89][5550/7045]	Time 0.101 (0.238)	Data 0.004 (0.173)	Loss 2.5941 (2.4932)	Prec@1 39.844 (39.315)	Prec@5 66.406 (69.208)
Epoch: [89][5560/7045]	Time 0.227 (0.238)	Data 0.174 (0.173)	Loss 2.4503 (2.4930)	Prec@1 35.547 (39.315)	Prec@5 72.266 (69.210)
Epoch: [89][5570/7045]	Time 0.102 (0.238)	Data 0.004 (0.173)	Loss 2.5917 (2.4932)	Prec@1 35.938 (39.313)	Prec@5 68.750 (69.209)
Epoch: [89][5580/7045]	Time 0.280 (0.238)	Data 0.227 (0.173)	Loss 2.5331 (2.4932)	Prec@1 39.062 (39.313)	Prec@5 67.188 (69.208)
Epoch: [89][5590/7045]	Time 0.104 (0.238)	Data 0.046 (0.173)	Loss 2.6103 (2.4931)	Prec@1 38.672 (39.312)	Prec@5 65.234 (69.208)
Epoch: [89][5600/7045]	Time 0.320 (0.238)	Data 0.268 (0.173)	Loss 2.3641 (2.4931)	Prec@1 41.406 (39.313)	Prec@5 71.094 (69.206)
Epoch: [89][5610/7045]	Time 0.104 (0.238)	Data 0.052 (0.173)	Loss 2.6864 (2.4930)	Prec@1 36.328 (39.316)	Prec@5 64.062 (69.206)
Epoch: [89][5620/7045]	Time 0.359 (0.238)	Data 0.307 (0.173)	Loss 2.4137 (2.4931)	Prec@1 43.750 (39.317)	Prec@5 67.969 (69.205)
Epoch: [89][5630/7045]	Time 0.126 (0.238)	Data 0.074 (0.173)	Loss 2.4790 (2.4931)	Prec@1 39.062 (39.316)	Prec@5 69.922 (69.203)
Epoch: [89][5640/7045]	Time 0.371 (0.238)	Data 0.318 (0.174)	Loss 2.5196 (2.4931)	Prec@1 40.234 (39.318)	Prec@5 65.234 (69.203)
Epoch: [89][5650/7045]	Time 0.144 (0.238)	Data 0.091 (0.174)	Loss 2.5289 (2.4930)	Prec@1 38.281 (39.319)	Prec@5 64.453 (69.204)
Epoch: [89][5660/7045]	Time 0.425 (0.238)	Data 0.372 (0.174)	Loss 2.2800 (2.4929)	Prec@1 42.578 (39.321)	Prec@5 71.484 (69.205)
Epoch: [89][5670/7045]	Time 0.207 (0.238)	Data 0.148 (0.174)	Loss 2.6818 (2.4929)	Prec@1 33.594 (39.319)	Prec@5 66.406 (69.206)
Epoch: [89][5680/7045]	Time 0.453 (0.238)	Data 0.400 (0.174)	Loss 2.6601 (2.4930)	Prec@1 35.938 (39.318)	Prec@5 64.453 (69.204)
Epoch: [89][5690/7045]	Time 0.268 (0.238)	Data 0.208 (0.174)	Loss 2.6107 (2.4930)	Prec@1 36.719 (39.317)	Prec@5 68.750 (69.203)
Epoch: [89][5700/7045]	Time 0.482 (0.238)	Data 0.425 (0.174)	Loss 2.4915 (2.4930)	Prec@1 37.891 (39.316)	Prec@5 69.922 (69.203)
Epoch: [89][5710/7045]	Time 0.236 (0.238)	Data 0.184 (0.174)	Loss 2.4835 (2.4930)	Prec@1 38.672 (39.314)	Prec@5 72.266 (69.204)
Epoch: [89][5720/7045]	Time 0.511 (0.238)	Data 0.458 (0.174)	Loss 2.3465 (2.4930)	Prec@1 44.531 (39.314)	Prec@5 71.484 (69.204)
Epoch: [89][5730/7045]	Time 0.228 (0.238)	Data 0.177 (0.174)	Loss 2.4727 (2.4931)	Prec@1 39.062 (39.314)	Prec@5 71.484 (69.203)
Epoch: [89][5740/7045]	Time 0.513 (0.238)	Data 0.461 (0.174)	Loss 2.5120 (2.4930)	Prec@1 33.594 (39.315)	Prec@5 64.844 (69.202)
Epoch: [89][5750/7045]	Time 0.193 (0.238)	Data 0.142 (0.174)	Loss 2.5304 (2.4931)	Prec@1 36.719 (39.314)	Prec@5 68.359 (69.202)
Epoch: [89][5760/7045]	Time 0.507 (0.238)	Data 0.456 (0.174)	Loss 2.5832 (2.4932)	Prec@1 34.375 (39.312)	Prec@5 67.969 (69.200)
Epoch: [89][5770/7045]	Time 0.240 (0.238)	Data 0.188 (0.174)	Loss 2.1895 (2.4932)	Prec@1 45.312 (39.313)	Prec@5 73.828 (69.200)
Epoch: [89][5780/7045]	Time 0.487 (0.238)	Data 0.428 (0.174)	Loss 2.4183 (2.4932)	Prec@1 39.453 (39.313)	Prec@5 70.703 (69.198)
Epoch: [89][5790/7045]	Time 0.241 (0.238)	Data 0.189 (0.173)	Loss 2.2604 (2.4931)	Prec@1 48.438 (39.315)	Prec@5 72.266 (69.199)
Epoch: [89][5800/7045]	Time 0.490 (0.238)	Data 0.431 (0.174)	Loss 2.4700 (2.4931)	Prec@1 35.938 (39.314)	Prec@5 70.312 (69.201)
Epoch: [89][5810/7045]	Time 0.217 (0.238)	Data 0.165 (0.173)	Loss 2.5891 (2.4932)	Prec@1 36.328 (39.312)	Prec@5 68.750 (69.199)
Epoch: [89][5820/7045]	Time 0.485 (0.238)	Data 0.427 (0.174)	Loss 2.4547 (2.4933)	Prec@1 38.281 (39.310)	Prec@5 70.312 (69.196)
Epoch: [89][5830/7045]	Time 0.243 (0.238)	Data 0.184 (0.173)	Loss 2.5821 (2.4934)	Prec@1 38.281 (39.306)	Prec@5 65.234 (69.194)
Epoch: [89][5840/7045]	Time 0.459 (0.238)	Data 0.407 (0.174)	Loss 2.6946 (2.4935)	Prec@1 37.891 (39.305)	Prec@5 65.234 (69.190)
Epoch: [89][5850/7045]	Time 0.222 (0.238)	Data 0.171 (0.174)	Loss 2.3883 (2.4935)	Prec@1 42.578 (39.305)	Prec@5 71.094 (69.191)
Epoch: [89][5860/7045]	Time 0.417 (0.238)	Data 0.365 (0.174)	Loss 2.7091 (2.4936)	Prec@1 32.422 (39.304)	Prec@5 66.797 (69.189)
Epoch: [89][5870/7045]	Time 0.233 (0.238)	Data 0.174 (0.174)	Loss 2.4825 (2.4935)	Prec@1 38.672 (39.305)	Prec@5 67.188 (69.189)
Epoch: [89][5880/7045]	Time 0.405 (0.238)	Data 0.353 (0.174)	Loss 2.6153 (2.4937)	Prec@1 39.453 (39.303)	Prec@5 65.234 (69.186)
Epoch: [89][5890/7045]	Time 0.224 (0.238)	Data 0.173 (0.174)	Loss 2.4387 (2.4937)	Prec@1 40.234 (39.303)	Prec@5 69.531 (69.185)
Epoch: [89][5900/7045]	Time 0.349 (0.238)	Data 0.297 (0.174)	Loss 2.4059 (2.4937)	Prec@1 37.500 (39.303)	Prec@5 69.922 (69.185)
Epoch: [89][5910/7045]	Time 0.258 (0.238)	Data 0.206 (0.174)	Loss 2.4419 (2.4937)	Prec@1 35.547 (39.301)	Prec@5 69.531 (69.184)
Epoch: [89][5920/7045]	Time 0.320 (0.238)	Data 0.268 (0.174)	Loss 2.5953 (2.4937)	Prec@1 35.156 (39.300)	Prec@5 68.750 (69.185)
Epoch: [89][5930/7045]	Time 0.285 (0.238)	Data 0.232 (0.174)	Loss 2.6103 (2.4937)	Prec@1 36.328 (39.300)	Prec@5 65.625 (69.183)
Epoch: [89][5940/7045]	Time 0.304 (0.238)	Data 0.252 (0.174)	Loss 2.7444 (2.4937)	Prec@1 37.891 (39.300)	Prec@5 64.062 (69.183)
Epoch: [89][5950/7045]	Time 0.252 (0.238)	Data 0.201 (0.174)	Loss 2.1597 (2.4937)	Prec@1 44.922 (39.301)	Prec@5 73.438 (69.184)
Epoch: [89][5960/7045]	Time 0.284 (0.238)	Data 0.232 (0.174)	Loss 2.4477 (2.4937)	Prec@1 37.891 (39.301)	Prec@5 71.094 (69.184)
Epoch: [89][5970/7045]	Time 0.305 (0.238)	Data 0.253 (0.174)	Loss 2.3805 (2.4938)	Prec@1 43.750 (39.300)	Prec@5 69.922 (69.181)
Epoch: [89][5980/7045]	Time 0.270 (0.238)	Data 0.217 (0.174)	Loss 2.4593 (2.4939)	Prec@1 39.844 (39.299)	Prec@5 69.922 (69.179)
Epoch: [89][5990/7045]	Time 0.315 (0.238)	Data 0.263 (0.174)	Loss 2.4058 (2.4939)	Prec@1 38.672 (39.300)	Prec@5 73.047 (69.179)
Epoch: [89][6000/7045]	Time 0.272 (0.238)	Data 0.219 (0.174)	Loss 2.5604 (2.4939)	Prec@1 37.500 (39.299)	Prec@5 68.359 (69.179)
Epoch: [89][6010/7045]	Time 0.286 (0.238)	Data 0.234 (0.174)	Loss 2.4357 (2.4939)	Prec@1 39.062 (39.301)	Prec@5 70.703 (69.180)
Epoch: [89][6020/7045]	Time 0.253 (0.238)	Data 0.202 (0.174)	Loss 2.6173 (2.4940)	Prec@1 34.766 (39.299)	Prec@5 65.234 (69.178)
Epoch: [89][6030/7045]	Time 0.235 (0.238)	Data 0.177 (0.174)	Loss 2.5242 (2.4939)	Prec@1 39.453 (39.303)	Prec@5 72.656 (69.181)
Epoch: [89][6040/7045]	Time 0.295 (0.238)	Data 0.243 (0.174)	Loss 2.4672 (2.4939)	Prec@1 37.891 (39.300)	Prec@5 69.922 (69.180)
Epoch: [89][6050/7045]	Time 0.252 (0.238)	Data 0.200 (0.174)	Loss 2.5731 (2.4939)	Prec@1 42.578 (39.302)	Prec@5 66.406 (69.179)
Epoch: [89][6060/7045]	Time 0.242 (0.238)	Data 0.191 (0.174)	Loss 2.6304 (2.4939)	Prec@1 32.422 (39.302)	Prec@5 64.844 (69.181)
Epoch: [89][6070/7045]	Time 0.227 (0.238)	Data 0.167 (0.174)	Loss 2.4157 (2.4939)	Prec@1 40.625 (39.300)	Prec@5 71.484 (69.181)
Epoch: [89][6080/7045]	Time 0.198 (0.238)	Data 0.146 (0.174)	Loss 2.4764 (2.4940)	Prec@1 39.062 (39.300)	Prec@5 70.703 (69.178)
Epoch: [89][6090/7045]	Time 0.249 (0.238)	Data 0.197 (0.174)	Loss 2.6697 (2.4941)	Prec@1 35.938 (39.300)	Prec@5 66.016 (69.176)
Epoch: [89][6100/7045]	Time 0.156 (0.238)	Data 0.103 (0.174)	Loss 2.4031 (2.4940)	Prec@1 40.234 (39.302)	Prec@5 73.438 (69.177)
Epoch: [89][6110/7045]	Time 0.308 (0.238)	Data 0.249 (0.174)	Loss 2.4300 (2.4939)	Prec@1 41.797 (39.302)	Prec@5 69.531 (69.178)
Epoch: [89][6120/7045]	Time 0.151 (0.238)	Data 0.099 (0.174)	Loss 2.8529 (2.4940)	Prec@1 35.547 (39.301)	Prec@5 62.500 (69.179)
Epoch: [89][6130/7045]	Time 0.266 (0.238)	Data 0.213 (0.174)	Loss 2.5477 (2.4940)	Prec@1 39.844 (39.301)	Prec@5 67.578 (69.177)
Epoch: [89][6140/7045]	Time 0.158 (0.238)	Data 0.107 (0.174)	Loss 2.5101 (2.4940)	Prec@1 41.406 (39.304)	Prec@5 69.531 (69.177)
Epoch: [89][6150/7045]	Time 0.205 (0.238)	Data 0.153 (0.174)	Loss 2.3946 (2.4940)	Prec@1 41.406 (39.304)	Prec@5 71.875 (69.177)
Epoch: [89][6160/7045]	Time 0.102 (0.238)	Data 0.049 (0.174)	Loss 2.5411 (2.4940)	Prec@1 38.281 (39.302)	Prec@5 68.359 (69.176)
Epoch: [89][6170/7045]	Time 0.130 (0.238)	Data 0.078 (0.174)	Loss 2.3528 (2.4940)	Prec@1 41.406 (39.301)	Prec@5 70.703 (69.175)
Epoch: [89][6180/7045]	Time 0.101 (0.238)	Data 0.002 (0.174)	Loss 2.6900 (2.4940)	Prec@1 35.547 (39.302)	Prec@5 66.016 (69.176)
Epoch: [89][6190/7045]	Time 0.162 (0.238)	Data 0.109 (0.174)	Loss 2.6257 (2.4940)	Prec@1 36.719 (39.302)	Prec@5 64.062 (69.176)
Epoch: [89][6200/7045]	Time 0.101 (0.238)	Data 0.006 (0.174)	Loss 2.4917 (2.4940)	Prec@1 36.719 (39.302)	Prec@5 70.312 (69.177)
Epoch: [89][6210/7045]	Time 0.141 (0.238)	Data 0.089 (0.174)	Loss 2.3903 (2.4940)	Prec@1 43.359 (39.302)	Prec@5 69.141 (69.176)
Epoch: [89][6220/7045]	Time 0.101 (0.238)	Data 0.003 (0.174)	Loss 2.6448 (2.4940)	Prec@1 35.156 (39.301)	Prec@5 64.453 (69.177)
Epoch: [89][6230/7045]	Time 0.140 (0.238)	Data 0.088 (0.174)	Loss 2.4805 (2.4940)	Prec@1 40.625 (39.302)	Prec@5 66.797 (69.177)
Epoch: [89][6240/7045]	Time 0.102 (0.238)	Data 0.001 (0.174)	Loss 2.5114 (2.4939)	Prec@1 35.547 (39.302)	Prec@5 71.094 (69.180)
Epoch: [89][6250/7045]	Time 0.151 (0.238)	Data 0.099 (0.174)	Loss 2.4001 (2.4939)	Prec@1 40.625 (39.302)	Prec@5 71.094 (69.180)
Epoch: [89][6260/7045]	Time 0.102 (0.238)	Data 0.001 (0.174)	Loss 2.5489 (2.4939)	Prec@1 39.062 (39.302)	Prec@5 67.578 (69.180)
Epoch: [89][6270/7045]	Time 0.142 (0.238)	Data 0.090 (0.174)	Loss 2.6691 (2.4939)	Prec@1 37.109 (39.304)	Prec@5 63.281 (69.178)
Epoch: [89][6280/7045]	Time 0.102 (0.238)	Data 0.004 (0.174)	Loss 2.5753 (2.4939)	Prec@1 37.109 (39.304)	Prec@5 69.922 (69.177)
Epoch: [89][6290/7045]	Time 0.113 (0.238)	Data 0.059 (0.174)	Loss 2.5486 (2.4938)	Prec@1 37.891 (39.305)	Prec@5 67.969 (69.180)
Epoch: [89][6300/7045]	Time 0.100 (0.238)	Data 0.001 (0.174)	Loss 2.6107 (2.4938)	Prec@1 36.328 (39.305)	Prec@5 67.188 (69.180)
Epoch: [89][6310/7045]	Time 0.106 (0.238)	Data 0.053 (0.174)	Loss 2.3485 (2.4938)	Prec@1 39.453 (39.305)	Prec@5 73.828 (69.181)
Epoch: [89][6320/7045]	Time 0.101 (0.238)	Data 0.006 (0.174)	Loss 2.5168 (2.4939)	Prec@1 35.547 (39.303)	Prec@5 69.922 (69.179)
Epoch: [89][6330/7045]	Time 0.107 (0.238)	Data 0.054 (0.174)	Loss 2.6410 (2.4939)	Prec@1 37.109 (39.301)	Prec@5 65.625 (69.178)
Epoch: [89][6340/7045]	Time 0.102 (0.238)	Data 0.002 (0.174)	Loss 2.5195 (2.4939)	Prec@1 37.500 (39.300)	Prec@5 71.484 (69.178)
Epoch: [89][6350/7045]	Time 0.101 (0.238)	Data 0.001 (0.174)	Loss 2.6254 (2.4939)	Prec@1 43.750 (39.301)	Prec@5 64.844 (69.178)
Epoch: [89][6360/7045]	Time 0.103 (0.238)	Data 0.006 (0.174)	Loss 2.3327 (2.4939)	Prec@1 39.453 (39.301)	Prec@5 71.875 (69.179)
Epoch: [89][6370/7045]	Time 0.103 (0.238)	Data 0.001 (0.174)	Loss 2.5587 (2.4940)	Prec@1 39.844 (39.299)	Prec@5 69.922 (69.179)
Epoch: [89][6380/7045]	Time 0.101 (0.238)	Data 0.004 (0.174)	Loss 2.5000 (2.4939)	Prec@1 35.938 (39.298)	Prec@5 69.531 (69.179)
Epoch: [89][6390/7045]	Time 0.102 (0.238)	Data 0.006 (0.174)	Loss 2.5800 (2.4939)	Prec@1 34.766 (39.299)	Prec@5 66.797 (69.179)
Epoch: [89][6400/7045]	Time 0.102 (0.238)	Data 0.006 (0.174)	Loss 2.5436 (2.4940)	Prec@1 39.453 (39.296)	Prec@5 67.969 (69.177)
Epoch: [89][6410/7045]	Time 0.388 (0.238)	Data 0.329 (0.174)	Loss 2.5672 (2.4939)	Prec@1 38.281 (39.297)	Prec@5 66.406 (69.178)
Epoch: [89][6420/7045]	Time 0.277 (0.238)	Data 0.225 (0.174)	Loss 2.5988 (2.4941)	Prec@1 37.500 (39.294)	Prec@5 66.406 (69.175)
Epoch: [89][6430/7045]	Time 0.218 (0.238)	Data 0.165 (0.174)	Loss 2.6033 (2.4942)	Prec@1 40.625 (39.294)	Prec@5 62.891 (69.174)
Epoch: [89][6440/7045]	Time 0.384 (0.238)	Data 0.331 (0.174)	Loss 2.5777 (2.4941)	Prec@1 37.500 (39.298)	Prec@5 68.750 (69.174)
Epoch: [89][6450/7045]	Time 0.111 (0.238)	Data 0.059 (0.174)	Loss 2.3909 (2.4940)	Prec@1 39.453 (39.300)	Prec@5 73.047 (69.175)
Epoch: [89][6460/7045]	Time 0.103 (0.238)	Data 0.005 (0.174)	Loss 2.4385 (2.4940)	Prec@1 35.547 (39.300)	Prec@5 72.266 (69.176)
Epoch: [89][6470/7045]	Time 0.111 (0.238)	Data 0.058 (0.174)	Loss 2.4344 (2.4940)	Prec@1 37.500 (39.300)	Prec@5 71.484 (69.178)
Epoch: [89][6480/7045]	Time 0.450 (0.238)	Data 0.398 (0.174)	Loss 2.6031 (2.4939)	Prec@1 39.062 (39.301)	Prec@5 65.625 (69.180)
Epoch: [89][6490/7045]	Time 0.142 (0.238)	Data 0.090 (0.174)	Loss 2.6355 (2.4939)	Prec@1 38.672 (39.301)	Prec@5 66.406 (69.180)
Epoch: [89][6500/7045]	Time 0.376 (0.238)	Data 0.319 (0.174)	Loss 2.5052 (2.4938)	Prec@1 40.234 (39.302)	Prec@5 67.578 (69.182)
Epoch: [89][6510/7045]	Time 0.424 (0.238)	Data 0.373 (0.174)	Loss 2.3254 (2.4938)	Prec@1 44.922 (39.304)	Prec@5 71.875 (69.181)
Epoch: [89][6520/7045]	Time 0.103 (0.238)	Data 0.001 (0.174)	Loss 2.3214 (2.4938)	Prec@1 44.141 (39.306)	Prec@5 70.312 (69.182)
Epoch: [89][6530/7045]	Time 0.251 (0.238)	Data 0.199 (0.174)	Loss 2.4456 (2.4938)	Prec@1 38.672 (39.306)	Prec@5 67.969 (69.182)
Epoch: [89][6540/7045]	Time 0.145 (0.238)	Data 0.092 (0.174)	Loss 2.4211 (2.4938)	Prec@1 35.547 (39.303)	Prec@5 71.094 (69.180)
Epoch: [89][6550/7045]	Time 0.214 (0.238)	Data 0.162 (0.174)	Loss 2.6360 (2.4940)	Prec@1 37.500 (39.302)	Prec@5 64.844 (69.176)
Epoch: [89][6560/7045]	Time 0.105 (0.238)	Data 0.051 (0.174)	Loss 2.4177 (2.4939)	Prec@1 41.797 (39.304)	Prec@5 72.656 (69.177)
Epoch: [89][6570/7045]	Time 0.392 (0.238)	Data 0.340 (0.174)	Loss 2.5590 (2.4938)	Prec@1 37.500 (39.306)	Prec@5 65.625 (69.178)
Epoch: [89][6580/7045]	Time 0.276 (0.238)	Data 0.224 (0.174)	Loss 2.5096 (2.4938)	Prec@1 40.625 (39.305)	Prec@5 68.750 (69.178)
Epoch: [89][6590/7045]	Time 0.213 (0.238)	Data 0.162 (0.174)	Loss 2.4991 (2.4938)	Prec@1 37.500 (39.306)	Prec@5 69.141 (69.177)
Epoch: [89][6600/7045]	Time 0.269 (0.238)	Data 0.217 (0.174)	Loss 2.2964 (2.4937)	Prec@1 42.188 (39.307)	Prec@5 71.484 (69.177)
Epoch: [89][6610/7045]	Time 0.272 (0.238)	Data 0.220 (0.174)	Loss 2.6853 (2.4938)	Prec@1 35.156 (39.305)	Prec@5 66.406 (69.178)
Epoch: [89][6620/7045]	Time 0.108 (0.238)	Data 0.055 (0.174)	Loss 2.6305 (2.4938)	Prec@1 35.547 (39.304)	Prec@5 66.406 (69.177)
Epoch: [89][6630/7045]	Time 0.379 (0.238)	Data 0.326 (0.174)	Loss 2.5197 (2.4938)	Prec@1 37.500 (39.306)	Prec@5 69.141 (69.178)
Epoch: [89][6640/7045]	Time 0.431 (0.238)	Data 0.379 (0.174)	Loss 2.3951 (2.4938)	Prec@1 41.016 (39.307)	Prec@5 71.094 (69.179)
Epoch: [89][6650/7045]	Time 0.306 (0.238)	Data 0.253 (0.174)	Loss 2.5365 (2.4938)	Prec@1 32.812 (39.305)	Prec@5 66.797 (69.177)
Epoch: [89][6660/7045]	Time 0.367 (0.238)	Data 0.308 (0.174)	Loss 2.6837 (2.4938)	Prec@1 32.812 (39.306)	Prec@5 67.969 (69.178)
Epoch: [89][6670/7045]	Time 0.258 (0.238)	Data 0.205 (0.174)	Loss 2.4374 (2.4938)	Prec@1 41.016 (39.307)	Prec@5 68.359 (69.178)
Epoch: [89][6680/7045]	Time 0.269 (0.238)	Data 0.217 (0.174)	Loss 2.2538 (2.4937)	Prec@1 47.266 (39.309)	Prec@5 72.656 (69.180)
Epoch: [89][6690/7045]	Time 0.252 (0.238)	Data 0.198 (0.174)	Loss 2.5138 (2.4937)	Prec@1 40.625 (39.309)	Prec@5 69.531 (69.182)
Epoch: [89][6700/7045]	Time 0.267 (0.238)	Data 0.215 (0.174)	Loss 2.2976 (2.4936)	Prec@1 42.578 (39.307)	Prec@5 74.219 (69.183)
Epoch: [89][6710/7045]	Time 0.192 (0.238)	Data 0.140 (0.174)	Loss 2.4951 (2.4937)	Prec@1 40.625 (39.306)	Prec@5 70.312 (69.182)
Epoch: [89][6720/7045]	Time 0.274 (0.238)	Data 0.221 (0.174)	Loss 2.4945 (2.4937)	Prec@1 38.672 (39.307)	Prec@5 67.188 (69.182)
Epoch: [89][6730/7045]	Time 0.184 (0.238)	Data 0.131 (0.174)	Loss 2.4733 (2.4938)	Prec@1 37.500 (39.306)	Prec@5 70.703 (69.179)
Epoch: [89][6740/7045]	Time 0.258 (0.238)	Data 0.206 (0.174)	Loss 2.5023 (2.4937)	Prec@1 37.109 (39.307)	Prec@5 69.141 (69.180)
Epoch: [89][6750/7045]	Time 0.140 (0.238)	Data 0.087 (0.174)	Loss 2.3477 (2.4937)	Prec@1 44.922 (39.309)	Prec@5 70.703 (69.179)
Epoch: [89][6760/7045]	Time 0.258 (0.238)	Data 0.205 (0.174)	Loss 2.1921 (2.4937)	Prec@1 43.750 (39.308)	Prec@5 74.219 (69.179)
Epoch: [89][6770/7045]	Time 0.109 (0.238)	Data 0.003 (0.174)	Loss 2.5048 (2.4937)	Prec@1 37.891 (39.309)	Prec@5 69.531 (69.180)
Epoch: [89][6780/7045]	Time 0.189 (0.238)	Data 0.137 (0.174)	Loss 2.5227 (2.4936)	Prec@1 39.844 (39.311)	Prec@5 69.531 (69.181)
Epoch: [89][6790/7045]	Time 0.110 (0.238)	Data 0.004 (0.174)	Loss 2.4628 (2.4936)	Prec@1 38.672 (39.310)	Prec@5 69.531 (69.180)
Epoch: [89][6800/7045]	Time 0.214 (0.238)	Data 0.163 (0.174)	Loss 2.4750 (2.4936)	Prec@1 39.844 (39.311)	Prec@5 70.312 (69.181)
Epoch: [89][6810/7045]	Time 0.101 (0.238)	Data 0.001 (0.174)	Loss 2.3998 (2.4936)	Prec@1 42.969 (39.313)	Prec@5 69.141 (69.183)
Epoch: [89][6820/7045]	Time 0.164 (0.238)	Data 0.112 (0.174)	Loss 2.5694 (2.4936)	Prec@1 38.672 (39.312)	Prec@5 69.531 (69.183)
Epoch: [89][6830/7045]	Time 0.102 (0.238)	Data 0.004 (0.174)	Loss 2.6317 (2.4937)	Prec@1 39.062 (39.312)	Prec@5 64.062 (69.181)
Epoch: [89][6840/7045]	Time 0.224 (0.238)	Data 0.172 (0.174)	Loss 2.8098 (2.4937)	Prec@1 35.547 (39.312)	Prec@5 62.891 (69.179)
Epoch: [89][6850/7045]	Time 0.102 (0.238)	Data 0.004 (0.174)	Loss 2.7160 (2.4938)	Prec@1 35.938 (39.309)	Prec@5 67.969 (69.178)
Epoch: [89][6860/7045]	Time 0.235 (0.238)	Data 0.184 (0.174)	Loss 2.3212 (2.4938)	Prec@1 42.188 (39.309)	Prec@5 68.750 (69.178)
Epoch: [89][6870/7045]	Time 0.102 (0.238)	Data 0.003 (0.174)	Loss 2.3358 (2.4938)	Prec@1 40.625 (39.310)	Prec@5 74.609 (69.181)
Epoch: [89][6880/7045]	Time 0.259 (0.238)	Data 0.208 (0.174)	Loss 2.3711 (2.4938)	Prec@1 41.797 (39.310)	Prec@5 71.484 (69.179)
Epoch: [89][6890/7045]	Time 0.102 (0.238)	Data 0.001 (0.174)	Loss 2.4021 (2.4938)	Prec@1 42.969 (39.311)	Prec@5 67.578 (69.179)
Epoch: [89][6900/7045]	Time 0.283 (0.238)	Data 0.232 (0.174)	Loss 2.5775 (2.4938)	Prec@1 38.281 (39.309)	Prec@5 67.578 (69.179)
Epoch: [89][6910/7045]	Time 0.102 (0.238)	Data 0.006 (0.174)	Loss 2.4500 (2.4937)	Prec@1 41.797 (39.312)	Prec@5 68.750 (69.183)
Epoch: [89][6920/7045]	Time 0.244 (0.238)	Data 0.192 (0.174)	Loss 2.6209 (2.4937)	Prec@1 37.500 (39.311)	Prec@5 64.844 (69.182)
Epoch: [89][6930/7045]	Time 0.108 (0.238)	Data 0.057 (0.174)	Loss 2.5447 (2.4937)	Prec@1 37.891 (39.313)	Prec@5 68.359 (69.183)
Epoch: [89][6940/7045]	Time 0.223 (0.238)	Data 0.169 (0.174)	Loss 2.5467 (2.4937)	Prec@1 38.672 (39.313)	Prec@5 67.188 (69.183)
Epoch: [89][6950/7045]	Time 0.105 (0.238)	Data 0.053 (0.174)	Loss 2.5400 (2.4936)	Prec@1 38.672 (39.313)	Prec@5 69.531 (69.183)
Epoch: [89][6960/7045]	Time 0.220 (0.238)	Data 0.168 (0.174)	Loss 2.4220 (2.4936)	Prec@1 41.406 (39.313)	Prec@5 70.312 (69.184)
Epoch: [89][6970/7045]	Time 0.109 (0.238)	Data 0.003 (0.174)	Loss 2.6945 (2.4936)	Prec@1 34.766 (39.313)	Prec@5 66.016 (69.185)
Epoch: [89][6980/7045]	Time 0.155 (0.238)	Data 0.103 (0.174)	Loss 2.5153 (2.4936)	Prec@1 37.891 (39.312)	Prec@5 69.141 (69.184)
Epoch: [89][6990/7045]	Time 0.109 (0.238)	Data 0.005 (0.174)	Loss 2.3653 (2.4937)	Prec@1 39.453 (39.310)	Prec@5 71.094 (69.182)
Epoch: [89][7000/7045]	Time 0.139 (0.238)	Data 0.087 (0.174)	Loss 2.3895 (2.4938)	Prec@1 41.797 (39.308)	Prec@5 73.438 (69.181)
Epoch: [89][7010/7045]	Time 0.109 (0.238)	Data 0.003 (0.174)	Loss 2.4007 (2.4938)	Prec@1 41.406 (39.308)	Prec@5 76.562 (69.182)
Epoch: [89][7020/7045]	Time 0.133 (0.238)	Data 0.081 (0.174)	Loss 2.6667 (2.4939)	Prec@1 35.938 (39.307)	Prec@5 64.844 (69.181)
Epoch: [89][7030/7045]	Time 0.109 (0.238)	Data 0.003 (0.174)	Loss 2.4960 (2.4940)	Prec@1 39.062 (39.304)	Prec@5 70.312 (69.178)
Epoch: [89][7040/7045]	Time 0.105 (0.238)	Data 0.052 (0.174)	Loss 2.3200 (2.4939)	Prec@1 43.750 (39.305)	Prec@5 73.438 (69.180)
Test: [0/143]	Time 1.312 (1.312)	Loss 2.2305 (2.2305)	Prec@1 44.141 (44.141)	Prec@5 76.953 (76.953)
Test: [10/143]	Time 0.110 (0.244)	Loss 1.6802 (1.9510)	Prec@1 58.984 (51.065)	Prec@5 83.594 (80.220)
Test: [20/143]	Time 0.362 (0.215)	Loss 2.1891 (1.9519)	Prec@1 44.922 (49.516)	Prec@5 76.953 (80.376)
Test: [30/143]	Time 0.172 (0.202)	Loss 2.1793 (1.9771)	Prec@1 49.219 (49.269)	Prec@5 71.875 (79.448)
Test: [40/143]	Time 0.462 (0.198)	Loss 2.6596 (2.0210)	Prec@1 27.344 (48.333)	Prec@5 69.141 (78.411)
Test: [50/143]	Time 0.059 (0.189)	Loss 1.9368 (2.0810)	Prec@1 46.484 (46.737)	Prec@5 81.250 (77.597)
Test: [60/143]	Time 0.418 (0.190)	Loss 2.3615 (2.0696)	Prec@1 36.719 (47.022)	Prec@5 73.828 (77.805)
Test: [70/143]	Time 0.109 (0.184)	Loss 3.0263 (2.0706)	Prec@1 26.953 (47.035)	Prec@5 59.375 (77.806)
Test: [80/143]	Time 0.279 (0.185)	Loss 2.0063 (2.0604)	Prec@1 48.828 (47.261)	Prec@5 80.469 (78.125)
Test: [90/143]	Time 0.058 (0.180)	Loss 1.6697 (2.0529)	Prec@1 60.547 (47.412)	Prec@5 89.062 (78.297)
Test: [100/143]	Time 0.355 (0.182)	Loss 1.9074 (2.0509)	Prec@1 51.953 (47.347)	Prec@5 83.594 (78.427)
Test: [110/143]	Time 0.053 (0.179)	Loss 1.8517 (2.0496)	Prec@1 49.609 (47.466)	Prec@5 80.859 (78.463)
Test: [120/143]	Time 0.167 (0.180)	Loss 1.7716 (2.0442)	Prec@1 58.203 (47.647)	Prec@5 84.375 (78.490)
Test: [130/143]	Time 0.057 (0.178)	Loss 1.5428 (2.0525)	Prec@1 66.016 (47.525)	Prec@5 80.078 (78.271)
Test: [140/143]	Time 0.167 (0.178)	Loss 2.9800 (2.0730)	Prec@1 25.000 (47.014)	Prec@5 64.844 (77.934)
 * Prec@1 47.041 Prec@5 77.934